diff --git a/.appveyor.yml b/.appveyor.yml
new file mode 100644
index 000000000000..a637fe545466
--- /dev/null
+++ b/.appveyor.yml
@@ -0,0 +1,104 @@
+# With infos from
+# http://tjelvarolsson.com/blog/how-to-continuously-test-your-python-code-on-windows-using-appveyor/
+# https://packaging.python.org/en/latest/appveyor/
+---
+
+# Backslashes in quotes need to be escaped: \ -> "\\"
+branches:
+  except:
+    - /auto-backport-.*/
+    - /^v\d+\.\d+\.[\dx]+-doc$/
+
+skip_commits:
+  message: /\[ci doc\]/
+  files:
+    - doc/
+    - galleries/
+
+clone_depth: 50
+
+image: Visual Studio 2019
+
+environment:
+
+  global:
+    PYTHONFAULTHANDLER: 1
+    PYTHONIOENCODING: UTF-8
+    PYTEST_ARGS: -rfEsXR --numprocesses=auto --timeout=300 --durations=25
+                 --cov-report= --cov=lib --log-level=DEBUG
+
+  matrix:
+    - PYTHON_VERSION: "3.11"
+      TEST_ALL: "yes"
+
+# We always use a 64-bit machine, but can build x86 distributions
+# with the PYTHON_ARCH variable
+platform:
+  - x64
+
+# all our python builds have to happen in tests_script...
+build: false
+
+cache:
+  - '%LOCALAPPDATA%\pip\Cache'
+  - '%USERPROFILE%\.cache\matplotlib'
+
+init:
+  - ps:
+      Invoke-Webrequest
+      -URI https://micro.mamba.pm/api/micromamba/win-64/latest
+      -OutFile C:\projects\micromamba.tar.bz2
+  - ps: C:\PROGRA~1\7-Zip\7z.exe x C:\projects\micromamba.tar.bz2 -aoa -oC:\projects\
+  - ps: C:\PROGRA~1\7-Zip\7z.exe x C:\projects\micromamba.tar -ttar -aoa -oC:\projects\
+  - 'set PATH=C:\projects\Library\bin;%PATH%'
+  - micromamba shell init --shell cmd.exe
+  - micromamba config set always_yes true
+  - micromamba config prepend channels conda-forge
+  - micromamba info
+
+install:
+  - micromamba env create -f environment.yml python=%PYTHON_VERSION% pywin32
+  - micromamba activate mpl-dev
+
+test_script:
+  # Now build the thing..
+  - set LINK=/LIBPATH:%cd%\lib
+  - pip install -v --no-build-isolation --editable .[dev]
+  # this should show no freetype dll...
+  - set "DUMPBIN=%VS140COMNTOOLS%\..\..\VC\bin\dumpbin.exe"
+  - '"%DUMPBIN%" /DEPENDENTS lib\matplotlib\ft2font*.pyd | findstr freetype.*.dll && exit /b 1 || exit /b 0'
+
+  # this are optional dependencies so that we don't skip so many tests...
+  - if x%TEST_ALL% == xyes micromamba install -q ffmpeg inkscape
+  # miktex is available on conda, but seems to fail with permission errors.
+  # missing packages on conda-forge for imagemagick
+  # This install sometimes failed randomly :-(
+  # - choco install imagemagick
+
+  # Test import of tkagg backend
+  - python -c
+    "import matplotlib as m; m.use('tkagg');
+    import matplotlib.pyplot as plt;
+    print(plt.get_backend())"
+  # tests
+  - echo The following args are passed to pytest %PYTEST_ARGS%
+  - pytest %PYTEST_ARGS%
+
+artifacts:
+  - path: result_images\*
+    name: result_images
+    type: Zip
+
+on_finish:
+  - micromamba install codecov
+  - codecov -e PYTHON_VERSION PLATFORM -n "%PYTHON_VERSION% Windows"
+
+on_failure:
+  # Generate a html for visual tests
+  - python tools/visualize_tests.py --no-browser
+  - echo zipping images after a failure...
+  - 7z a result_images.zip result_images\ | grep -v "Compressing"
+  - appveyor PushArtifact result_images.zip
+
+matrix:
+  fast_finish: true
diff --git a/.circleci/config.yml b/.circleci/config.yml
new file mode 100644
index 000000000000..40ba933cf0d9
--- /dev/null
+++ b/.circleci/config.yml
@@ -0,0 +1,262 @@
+# Circle CI configuration file
+# https://circleci.com/docs/
+---
+version: 2.1
+
+
+#######################################
+# Define some common steps as commands.
+#
+
+commands:
+  check-skip:
+    steps:
+      - run:
+          name: Check-skip
+          command: |
+            export git_log=$(git log --max-count=1 --pretty=format:"%B" | tr "\n" " ")
+            echo "Got commit message:"
+            echo "${git_log}"
+            if [[ -v CIRCLE_PULL_REQUEST ]] &&
+               [[ $git_log =~ (\[skip circle\]|\[circle skip\]|\[skip doc\]|\[doc skip\]) ]]; then
+              echo "Skip detected, exiting job ${CIRCLE_JOB} for PR ${CIRCLE_PULL_REQUEST}."
+              circleci-agent step halt;
+            fi
+
+  merge:
+    steps:
+      - run:
+          name: Merge with upstream
+          command: |
+            if ! git remote -v | grep upstream; then
+              git remote add upstream https://github.com/matplotlib/matplotlib.git
+            fi
+            git fetch upstream
+            if [[ "$CIRCLE_BRANCH" != "main" ]] && \
+               [[ "$CIRCLE_PR_NUMBER" != "" ]]; then
+              echo "Merging ${CIRCLE_PR_NUMBER}"
+              git pull --ff-only upstream "refs/pull/${CIRCLE_PR_NUMBER}/merge"
+            fi
+
+  apt-install:
+    steps:
+      - run:
+          name: Install apt packages
+          command: |
+            sudo apt-get -qq update
+            sudo apt-get install -yy --no-install-recommends \
+              cm-super \
+              dvipng \
+              ffmpeg \
+              fonts-crosextra-carlito \
+              fonts-freefont-otf \
+              fonts-noto-cjk \
+              fonts-wqy-zenhei \
+              graphviz \
+              inkscape \
+              lmodern \
+              ninja-build \
+              optipng \
+              texlive-fonts-recommended \
+              texlive-latex-base \
+              texlive-latex-extra \
+              texlive-latex-recommended \
+              texlive-pictures \
+              texlive-xetex
+
+  fonts-install:
+    steps:
+      - restore_cache:
+          key: fonts-4
+      - run:
+          name: Install custom fonts
+          command: |
+            mkdir -p ~/.local/share/fonts
+            wget -nc \
+              https://github.com/google/fonts/blob/master/ofl/felipa/Felipa-Regular.ttf?raw=true \
+              -O ~/.local/share/fonts/Felipa-Regular.ttf || true
+            wget -nc \
+              https://github.com/ipython/xkcd-font/blob/master/xkcd-script/font/xkcd-script.ttf?raw=true \
+              -O ~/.local/share/fonts/xkcd-Script.ttf || true
+            fc-cache -f -v
+      - save_cache:
+          key: fonts-4
+          paths:
+            - ~/.local/share/fonts/
+
+  pip-install:
+    description: Upgrade pip and setuptools and wheel to get as clean an install as possible
+    steps:
+      - run:
+          name: Upgrade pip, setuptools, wheel
+          command: |
+            python -m pip install --upgrade --user pip
+            python -m pip install --upgrade --user wheel
+            python -m pip install --upgrade --user 'setuptools!=60.6.0'
+
+  doc-deps-install:
+    parameters:
+      numpy_version:
+        type: string
+        default: ""
+    steps:
+      - run:
+          name: Install Python dependencies
+          command: |
+            python -m pip install --user -r requirements/dev/build-requirements.txt
+            python -m pip install --user \
+                numpy<< parameters.numpy_version >> \
+                -r requirements/doc/doc-requirements.txt
+            python -m pip install --no-deps --user \
+                git+https://github.com/matplotlib/mpl-sphinx-theme.git
+
+  mpl-install:
+    steps:
+      - run:
+          name: Install Matplotlib
+          command: |
+            if [[ "$CIRCLE_BRANCH" == v*-doc ]]; then
+              # The v*-doc branches must build against the specified release.
+              version=${CIRCLE_BRANCH%-doc}
+              version=${version#v}
+              python -m pip install matplotlib==${version}
+            else
+              python -m pip install --user --verbose \
+                --no-build-isolation --editable .[dev]
+            fi
+      - save_cache:
+          key: build-deps-2
+          paths:
+            - subprojects/packagecache
+
+  doc-build:
+    steps:
+      - restore_cache:
+          keys:
+            - sphinx-env-v1-{{ .BuildNum }}-{{ .Environment.CIRCLE_JOB }}
+            - sphinx-env-v1-{{ .Environment.CIRCLE_PREVIOUS_BUILD_NUM }}-{{ .Environment.CIRCLE_JOB }}
+      - run:
+          name: Build documentation
+          command: |
+            # Set epoch to date of latest tag.
+            export SOURCE_DATE_EPOCH="$(git log -1 --format=%at $(git describe --abbrev=0))"
+            # Set release mode only when deploying to devdocs.
+            if [ "$CIRCLE_PROJECT_USERNAME" = "matplotlib" ] && \
+               [ "$CIRCLE_BRANCH" = "main" ] && \
+               [ "$CIRCLE_PR_NUMBER" = "" ]; then
+              export RELEASE_TAG='-t release'
+            fi
+            mkdir -p logs
+            make html O="-T $RELEASE_TAG -j4 -w /tmp/sphinxerrorswarnings.log"
+            rm -r build/html/_sources
+          working_directory: doc
+      - save_cache:
+          key: sphinx-env-v1-{{ .BuildNum }}-{{ .Environment.CIRCLE_JOB }}
+          paths:
+            - doc/build/doctrees
+
+  doc-show-errors-warnings:
+    steps:
+      - run:
+          name: Extract possible build errors and warnings
+          command: |
+            (grep "WARNING\|ERROR" /tmp/sphinxerrorswarnings.log ||
+             echo "No errors or warnings")
+            # Save logs as an artifact, and convert from absolute paths to
+            # repository-relative paths.
+            sed "s~$PWD/~~" /tmp/sphinxerrorswarnings.log > \
+              doc/logs/sphinx-errors-warnings.log
+          when: always
+      - store_artifacts:
+          path: doc/logs/sphinx-errors-warnings.log
+
+  doc-show-deprecations:
+    steps:
+      - run:
+          name: Extract possible deprecation warnings in examples and tutorials
+          command: |
+            (grep -rl DeprecationWarning doc/build/html/gallery ||
+             echo "No deprecation warnings in gallery")
+            (grep -rl DeprecationWarning doc/build/html/plot_types ||
+             echo "No deprecation warnings in plot_types")
+            (grep -rl DeprecationWarning doc/build/html/tutorials ||
+             echo "No deprecation warnings in tutorials")
+            # Save deprecations that are from this absolute directory, and
+            # convert to repository-relative paths.
+            (grep -Ero --no-filename "$PWD/.+DeprecationWarning.+$" \
+             doc/build/html/{gallery,plot_types,tutorials} || echo) | \
+              sed "s~$PWD/~~" > doc/logs/sphinx-deprecations.log
+          when: always
+      - store_artifacts:
+          path: doc/logs/sphinx-deprecations.log
+
+  doc-bundle:
+    steps:
+      - run:
+          name: Bundle sphinx-gallery documentation artifacts
+          command: >
+            tar cf doc/build/sphinx-gallery-files.tar.gz
+            doc/api/_as_gen
+            doc/gallery
+            doc/plot_types
+            doc/tutorials
+          when: always
+      - store_artifacts:
+          path: doc/build/sphinx-gallery-files.tar.gz
+
+  deploy-docs:
+    steps:
+      - run:
+          name: "Deploy new docs"
+          command: ./.circleci/deploy-docs.sh
+
+
+##########################################
+# Here is where the real jobs are defined.
+#
+
+jobs:
+  docs-python3:
+    docker:
+      - image: cimg/python:3.12
+    resource_class: large
+    steps:
+      - checkout
+      - check-skip
+      - merge
+
+      - apt-install
+      - fonts-install
+      - pip-install
+
+      - doc-deps-install
+      - mpl-install
+
+      - doc-build
+      - doc-show-errors-warnings
+      - doc-show-deprecations
+
+      - doc-bundle
+
+      - store_artifacts:
+          path: doc/build/html
+      - store_test_results:
+          path: doc/build/test-results
+
+      - add_ssh_keys:
+          fingerprints:
+            - "be:c3:c1:d8:fb:a1:0e:37:71:72:d7:a3:40:13:8f:14"
+
+      - deploy-docs
+
+#########################################
+# Defining workflows gets us parallelism.
+#
+
+workflows:
+  version: 2
+  build:
+    jobs:
+      # NOTE: If you rename this job, then you must update the `if` condition
+      # and `circleci-jobs` option in `.github/workflows/circleci.yml`.
+      - docs-python3
diff --git a/.circleci/deploy-docs.sh b/.circleci/deploy-docs.sh
new file mode 100755
index 000000000000..8801d5fd073e
--- /dev/null
+++ b/.circleci/deploy-docs.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+
+set -e
+
+if [ "$CIRCLE_PROJECT_USERNAME" != "matplotlib" ] || \
+        [ "$CIRCLE_BRANCH" != "main" ] || \
+        [[ "$CIRCLE_PULL_REQUEST" == https://github.com/matplotlib/matplotlib/pull/* ]]; then
+    echo "Not uploading docs for ${CIRCLE_SHA1}"\
+         "from non-main branch (${CIRCLE_BRANCH})"\
+         "or pull request (${CIRCLE_PULL_REQUEST})"\
+         "or non-Matplotlib org (${CIRCLE_PROJECT_USERNAME})."
+    exit
+fi
+
+git clone git@github.com:matplotlib/devdocs.git
+
+cd devdocs
+
+git checkout --orphan gh-pages || true
+git reset --hard first_commit
+
+git rm -rf .
+cp -R ../doc/build/html/. .
+touch .nojekyll
+
+git config user.email "MatplotlibCircleBot@nomail"
+git config user.name "MatplotlibCircleBot"
+git config push.default simple
+
+git add .
+git commit -m "Docs build of $CIRCLE_SHA1"
+
+git push --set-upstream origin gh-pages --force
diff --git a/.circleci/fetch_doc_logs.py b/.circleci/fetch_doc_logs.py
new file mode 100644
index 000000000000..0a5552a7721c
--- /dev/null
+++ b/.circleci/fetch_doc_logs.py
@@ -0,0 +1,66 @@
+"""
+Download artifacts from CircleCI for a documentation build.
+
+This is run by the :file:`.github/workflows/circleci.yml` workflow in order to
+get the warning/deprecation logs that will be posted on commits as checks. Logs
+are downloaded from the :file:`docs/logs` artifact path and placed in the
+:file:`logs` directory.
+
+Additionally, the artifact count for a build is produced as a workflow output,
+by appending to the file specified by :env:`GITHUB_OUTPUT`.
+
+If there are no logs, an "ERROR" message is printed, but this is not fatal, as
+the initial 'status' workflow runs when the build has first started, and there
+are naturally no artifacts at that point.
+
+This script should be run by passing the CircleCI build URL as its first
+argument. In the GitHub Actions workflow, this URL comes from
+``github.event.target_url``.
+"""
+import json
+import os
+from pathlib import Path
+import sys
+from urllib.parse import urlparse
+from urllib.request import URLError, urlopen
+
+
+if len(sys.argv) != 2:
+    print('USAGE: fetch_doc_results.py CircleCI-build-url')
+    sys.exit(1)
+
+target_url = urlparse(sys.argv[1])
+*_, organization, repository, build_id = target_url.path.split('/')
+print(f'Fetching artifacts from {organization}/{repository} for {build_id}')
+
+artifact_url = (
+    f'https://circleci.com/api/v2/project/gh/'
+    f'{organization}/{repository}/{build_id}/artifacts'
+)
+print(artifact_url)
+try:
+    with urlopen(artifact_url) as response:
+        artifacts = json.load(response)
+except URLError:
+    artifacts = {'items': []}
+artifact_count = len(artifacts['items'])
+print(f'Found {artifact_count} artifacts')
+
+with open(os.environ['GITHUB_OUTPUT'], 'w+') as fd:
+    fd.write(f'count={artifact_count}\n')
+
+logs = Path('logs')
+logs.mkdir(exist_ok=True)
+
+found = False
+for item in artifacts['items']:
+    path = item['path']
+    if path.startswith('doc/logs/'):
+        path = Path(path).name
+        print(f'Downloading {path} from {item["url"]}')
+        with urlopen(item['url']) as response:
+            (logs / path).write_bytes(response.read())
+        found = True
+
+if not found:
+    print('ERROR: Did not find any artifact logs!')
diff --git a/.coveragerc b/.coveragerc
new file mode 100644
index 000000000000..f8d90f93e600
--- /dev/null
+++ b/.coveragerc
@@ -0,0 +1,16 @@
+[run]
+branch = true
+source =
+    matplotlib
+    mpl_toolkits
+omit = matplotlib/_version.py
+
+[report]
+exclude_lines =
+    pragma: no cover
+    raise NotImplemented
+    def __str__
+    def __repr__
+    if __name__ == .__main__.:
+    if TYPE_CHECKING:
+    if typing.TYPE_CHECKING:
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
new file mode 100644
index 000000000000..ddec2754d03a
--- /dev/null
+++ b/.devcontainer/devcontainer.json
@@ -0,0 +1,38 @@
+{
+  "hostRequirements": {
+    "memory": "8gb",
+    "cpus": 4
+  },
+  "image": "mcr.microsoft.com/devcontainers/universal:2",
+  "features": {
+    "ghcr.io/devcontainers/features/desktop-lite:1": {},
+    "ghcr.io/rocker-org/devcontainer-features/apt-packages:1": {
+      "packages": "inkscape,ffmpeg,dvipng,lmodern,cm-super,texlive-latex-base,texlive-latex-extra,texlive-fonts-recommended,texlive-latex-recommended,texlive-pictures,texlive-xetex,fonts-wqy-zenhei,graphviz,fonts-crosextra-carlito,fonts-freefont-otf,fonts-comic-neue,fonts-noto-cjk,optipng"
+    }
+  },
+  "onCreateCommand": ".devcontainer/setup.sh",
+  "postCreateCommand": "",
+  "forwardPorts": [6080],
+  "portsAttributes": {
+    "6080": {
+      "label": "desktop"
+    }
+  },
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "ms-python.python",
+        "yy0931.mplstyle",
+        "eamodio.gitlens",
+        "ms-vscode.live-server"
+      ],
+      "settings": {}
+    },
+    "codespaces": {
+      "openFiles": [
+        "README.md",
+        "doc/devel/codespaces.md"
+      ]
+    }
+  }
+}
diff --git a/.devcontainer/setup.sh b/.devcontainer/setup.sh
new file mode 100755
index 000000000000..88da5baf69e2
--- /dev/null
+++ b/.devcontainer/setup.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+
+set -e
+
+"${SHELL}" <(curl -Ls micro.mamba.pm/install.sh) < /dev/null
+
+conda init --all
+micromamba shell init -s bash
+micromamba env create -f environment.yml --yes
+# Note that `micromamba activate mpl-dev` doesn't work, it must be run by the
+# user (same applies to `conda activate`)
+echo "envs_dirs:
+  - /home/codespace/micromamba/envs" > /opt/conda/.condarc
diff --git a/.git-blame-ignore-revs b/.git-blame-ignore-revs
new file mode 100644
index 000000000000..611431e707ab
--- /dev/null
+++ b/.git-blame-ignore-revs
@@ -0,0 +1,17 @@
+# style: end-of-file-fixer pre-commit hook
+c1a33a481b9c2df605bcb9bef9c19fe65c3dac21
+
+# style: trailing-whitespace pre-commit hook
+213061c0804530d04bbbd5c259f10dc8504e5b2b
+
+# style: check-docstring-first pre-commit hook
+046533797725293dfc2a6edb9f536b25f08aa636
+
+# chore: fix spelling errors
+686c9e5a413e31c46bb049407d5eca285bcab76d
+
+# chore: pyupgrade --py39-plus
+4d306402bb66d6d4c694d8e3e14b91054417070e
+
+# style: docstring parameter indentation
+68daa962de5634753205cba27f21d6edff7be7a2
diff --git a/.git_archival.txt b/.git_archival.txt
new file mode 100644
index 000000000000..3994ec0a83ea
--- /dev/null
+++ b/.git_archival.txt
@@ -0,0 +1,4 @@
+node: $Format:%H$
+node-date: $Format:%cI$
+describe-name: $Format:%(describe:tags=true)$
+ref-names: $Format:%D$
diff --git a/.gitattributes b/.gitattributes
index 176a458f94e0..a0c2c8627af7 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1 +1,6 @@
 * text=auto
+*.m diff=objc
+*.ppm binary
+*.svg binary
+*.svg linguist-language=true
+.git_archival.txt export-subst
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
new file mode 100644
index 000000000000..cb27bbf19d46
--- /dev/null
+++ b/.github/CONTRIBUTING.md
@@ -0,0 +1 @@
+Please refer to the [contributing guide](https://matplotlib.org/devel/index.html).
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
new file mode 100644
index 000000000000..a474d51d6f64
--- /dev/null
+++ b/.github/FUNDING.yml
@@ -0,0 +1,4 @@
+---
+# These are supported funding model platforms
+github: [matplotlib, numfocus]
+custom: https://numfocus.org/donate-to-matplotlib
diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
new file mode 100644
index 000000000000..a19b6d2346e3
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -0,0 +1,87 @@
+---
+name: Bug Report
+description: Report a bug or issue with Matplotlib.
+title: "[Bug]: "
+body:
+  - type: textarea
+    id: summary
+    attributes:
+      label: Bug summary
+      description: Describe the bug in 1-2 short sentences
+    validations:
+      required: true
+  - type: textarea
+    id: reproduction
+    attributes:
+      label: Code for reproduction
+      description: >-
+        If possible, please provide a minimum self-contained example.  If you
+        have used generative AI as an aid see
+        https://matplotlib.org/devdocs/devel/contribute.html#restrictions-on-generative-ai-usage
+      placeholder: Paste your code here. This field is automatically formatted as Python code.
+      render: Python
+    validations:
+      required: true
+  - type: textarea
+    id: actual
+    attributes:
+      label: Actual outcome
+      description: >-
+        Paste the output produced by the code provided above, e.g.
+        console output, images/videos produced by the code, any relevant screenshots/screencasts, etc.
+    validations:
+      required: true
+  - type: textarea
+    id: expected
+    attributes:
+      label: Expected outcome
+      description: Describe (or provide a visual example of) the expected outcome from the code snippet.
+    validations:
+      required: true
+  - type: textarea
+    id: details
+    attributes:
+      label: Additional information
+      description: |
+        - What are the conditions under which this bug happens? input parameters, edge cases, etc?
+        - Has this worked in earlier versions?
+        - Do you know why this bug is happening?
+        - Do you maybe even know a fix?
+  - type: input
+    id: operating-system
+    attributes:
+      label: Operating system
+      description: Windows, OS/X, Arch, Debian, Ubuntu, etc.
+  - type: input
+    id: matplotlib-version
+    attributes:
+      label: Matplotlib Version
+      description: "From Python prompt: `import matplotlib; print(matplotlib.__version__)`"
+    validations:
+      required: true
+  - type: input
+    id: matplotlib-backend
+    attributes:
+      label: Matplotlib Backend
+      description: "From Python prompt: `import matplotlib; print(matplotlib.get_backend())`"
+  - type: input
+    id: python-version
+    attributes:
+      label: Python version
+      description: "In console: `python --version`"
+  - type: input
+    id: jupyter-version
+    attributes:
+      label: Jupyter version
+      description: "In console: `jupyter notebook --version` or `jupyter lab --version`"
+  - type: dropdown
+    id: install
+    attributes:
+      label: Installation
+      description: How did you install matplotlib?
+      options:
+        - pip
+        - conda
+        - Linux package manager
+        - from source (.tar.gz)
+        - git checkout
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 000000000000..dc80f6d7c91d
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,11 @@
+# Reference:
+# https://help.github.com/en/github/building-a-strong-community/configuring-issue-templates-for-your-repository#configuring-the-template-chooser
+---
+blank_issues_enabled: true  # default
+contact_links:
+  - name: Question/Support/Other
+    url: https://discourse.matplotlib.org
+    about: If you have a usage question
+  - name: Chat with devs
+    url: https://gitter.im/matplotlib/matplotlib
+    about: Ask short questions about contributing to Matplotlib
diff --git a/.github/ISSUE_TEMPLATE/documentation.yml b/.github/ISSUE_TEMPLATE/documentation.yml
new file mode 100644
index 000000000000..5f7a0d6c7176
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/documentation.yml
@@ -0,0 +1,33 @@
+---
+name: Documentation
+description: Create a report to help us improve the documentation
+title: "[Doc]: "
+labels: [Documentation]
+body:
+  - type: input
+    id: link
+    attributes:
+      label: Documentation Link
+      description: >-
+        Link to any documentation or examples that you are referencing. Suggested improvements should be based
+        on [the development version of the docs](https://matplotlib.org/devdocs/)
+      placeholder: https://matplotlib.org/devdocs/...
+  - type: textarea
+    id: problem
+    attributes:
+      label: Problem
+      description: What is missing, unclear, or wrong in the documentation?
+      placeholder: |
+        * I found [...] to be unclear because [...]
+        * [...] made me think that [...] when really it should be [...]
+        * There is no example showing how to do [...]
+    validations:
+      required: true
+  - type: textarea
+    id: improvement
+    attributes:
+      label: Suggested improvement
+      placeholder: |
+        * This line should be be changed to say [...]
+        * Include a paragraph explaining [...]
+        * Add a figure showing [...]
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
new file mode 100644
index 000000000000..e174fb8994aa
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -0,0 +1,27 @@
+---
+name: Feature Request
+description: Suggest something to add to Matplotlib!
+title: "[ENH]: "
+labels: [New feature]
+body:
+  - type: markdown
+    attributes:
+      value: >-
+        Please search the [issues](https://github.com/matplotlib/matplotlib/issues) for relevant feature
+        requests before creating a new feature request.
+  - type: textarea
+    id: problem
+    attributes:
+      label: Problem
+      description: Briefly describe the problem this feature will solve. (2-4 sentences)
+      placeholder: |
+        * I'm always frustrated when [...] because [...]
+        * I would like it if [...] happened when I [...] because [...]
+        * Here is a sample image of what I am asking for [...]
+    validations:
+      required: true
+  - type: textarea
+    id: solution
+    attributes:
+      label: Proposed solution
+      description: Describe a way to accomplish the goals of this feature request.
diff --git a/.github/ISSUE_TEMPLATE/maintenance.yml b/.github/ISSUE_TEMPLATE/maintenance.yml
new file mode 100644
index 000000000000..6ebb64c0c3e9
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/maintenance.yml
@@ -0,0 +1,18 @@
+---
+name: Maintenance
+description: Help improve performance, usability and/or consistency.
+title: "[MNT]: "
+labels: [Maintenance]
+body:
+  - type: textarea
+    id: summary
+    attributes:
+      label: Summary
+      description: Please provide 1-2 short sentences that succinctly describes what could be improved.
+    validations:
+      required: true
+  - type: textarea
+    id: fix
+    attributes:
+      label: Proposed fix
+      description: Please describe how you think this could be improved.
diff --git a/.github/ISSUE_TEMPLATE/tag_proposal.yml b/.github/ISSUE_TEMPLATE/tag_proposal.yml
new file mode 100644
index 000000000000..2bb856d26be6
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/tag_proposal.yml
@@ -0,0 +1,28 @@
+---
+name: Tag Proposal
+description: Suggest a new tag or subcategory for the gallery of examples
+title: "[Tag]: "
+labels: ["Documentation: tags"]
+body:
+  - type: markdown
+    attributes:
+      value: >-
+        Please search the [tag glossary]() for relevant tags before creating a new tag proposal.
+  - type: textarea
+    id: need
+    attributes:
+      label: Need
+      description: Briefly describe the need this tag will fill. (1-4 sentences)
+      placeholder: |
+        * A tag is needed for examples that share [...]
+        * Existing tags do not work because [...]
+        * Current gallery examples that would use this tag include [...]
+        * Indicate which subcategory this tag falls under, or whether a new subcategory is proposed.
+    validations:
+      required: true
+  - type: textarea
+    id: solution
+    attributes:
+      label: Proposed solution
+      description: >-
+        What should the tag be? All tags are in the format `subcategory: tag`
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 000000000000..bf483dbdd4f4
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,37 @@
+<!--
+Thank you so much for your PR!  To help us review your contribution, please check
+out the development guide https://matplotlib.org/devdocs/devel/index.html
+-->
+
+## PR summary
+<!-- Please describe the pull request, using the questions below as guidance, and link to any relevant issues and PRs:
+
+- Why is this change necessary?
+- What problem does it solve?
+- What is the reasoning for this implementation?
+
+Additionally, please summarize the changes in the title, for example "Raise ValueError on
+non-numeric input to set_xlim" and avoid non-descriptive titles such as "Addresses
+issue #8576".
+
+If possible, please provide a minimum self-contained example.  If you have used
+generative AI as an aid in preparing this PR, see
+
+https://matplotlib.org/devdocs/devel/contribute.html#restrictions-on-generative-ai-usage
+-->
+
+
+## PR checklist
+<!-- Please mark any checkboxes that do not apply to this PR as [N/A].-->
+
+- [ ] "closes #0000" is in the body of the PR description to [link the related issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue)
+- [ ] new and changed code is [tested](https://matplotlib.org/devdocs/devel/testing.html)
+- [ ] *Plotting related* features are demonstrated in an [example](https://matplotlib.org/devdocs/devel/document.html#write-examples-and-tutorials)
+- [ ] *New Features* and *API Changes* are noted with a [directive and release note](https://matplotlib.org/devdocs/devel/api_changes.html#announce-changes-deprecations-and-new-features)
+- [ ] Documentation complies with [general](https://matplotlib.org/devdocs/devel/document.html#write-rest-pages) and [docstring](https://matplotlib.org/devdocs/devel/document.html#write-docstrings) guidelines
+
+<!--We understand that PRs can sometimes be overwhelming, especially as the
+reviews start coming in.  Please let us know if the reviews are unclear or
+the recommended next step seems overly demanding, if you would like help in
+addressing a reviewer's comments, or if you have been waiting too long to hear
+back on your PR.-->
diff --git a/.github/codecov.yml b/.github/codecov.yml
new file mode 100644
index 000000000000..00e7612bd1e6
--- /dev/null
+++ b/.github/codecov.yml
@@ -0,0 +1,33 @@
+# codecov used to be able to find this anywhere, now we have to manually
+# tell it where to look
+---
+comment: false
+
+codecov:
+  notify:
+    require_ci_to_pass: false
+
+coverage:
+  status:
+    patch:
+      default:
+        target: 50%
+        if_no_uploads: error
+        if_not_found: success
+        if_ci_failed: error
+    project:
+      default: false
+      library:
+        target: 50%
+        if_no_uploads: error
+        if_not_found: success
+        if_ci_failed: error
+        paths:
+          - '!lib/.*/tests/.*'
+      tests:
+        target: auto
+        if_no_uploads: error
+        if_not_found: success
+        if_ci_failed: error
+        paths:
+          - 'lib/.*/tests/.*'
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 000000000000..34902e5236df
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,11 @@
+---
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    groups:
+      actions:
+        patterns:
+          - "*"
diff --git a/.github/labeler.yml b/.github/labeler.yml
new file mode 100644
index 000000000000..75adfed57f43
--- /dev/null
+++ b/.github/labeler.yml
@@ -0,0 +1,282 @@
+---
+"CI: Run cibuildwheel":
+  - changed-files:
+      - any-glob-to-any-file: ['.github/workflows/cibuildwheel.yml']
+"CI: Run cygwin":
+  - changed-files:
+      - any-glob-to-any-file: ['.github/workflows/cygwin.yml']
+
+"backend: agg":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'extern/agg24-svn/'
+          - 'lib/matplotlib/backends/_backend_agg.pyi'
+          - 'lib/matplotlib/backends/backend_agg.py*'
+          - 'src/_backend_agg*'
+"backend: cairo":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/backend_*cairo.py*'
+"backend: pdf":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/_backend_pdf_ps.py'
+          - 'lib/matplotlib/backends/backend_pdf.py'
+"backend: pgf":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/backend_pgf.py'
+"backend: ps":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/_backend_pdf_ps.py'
+          - 'lib/matplotlib/backends/backend_ps.py'
+"backend: svg":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/backend_svg.py'
+
+"GUI: gtk":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/_backend_gtk.py*'
+          - 'lib/matplotlib/backends/backend_gtk*'
+"GUI: MacOSX":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/*_macosx.py*'
+          - 'src/_macosx.m'
+"GUI: nbagg":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/*_nbagg*.py*'
+          - 'lib/matplotlib/backends/web_backend/js/nbagg_mpl.js'
+"GUI: Qt":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/backend_qt*'
+          - 'lib/matplotlib/backends/qt_compat.py'
+          - 'lib/matplotlib/backends/qt_editor/**'
+"GUI: tk":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/*backend_tk*'
+          - 'lib/matplotlib/backends/_tkagg.pyi'
+          - 'src/_tkagg.cpp'
+          - 'src/_tkmini.h'
+"GUI: webagg":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/*_webagg*.py*'
+          - 'lib/matplotlib/backends/web_backend/**'
+"GUI: wx":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backends/backend_wx*.py*'
+
+"Documentation: API":
+  - all:
+      - changed-files:
+          - any-glob-to-any-file:
+              # Also files in lib/**, but we can't be sure those are only documentation.
+              - 'doc/api/**'
+          - all-globs-to-all-files:
+              - '!doc/api/next_api_changes/**'
+
+"Documentation: build":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'doc/conf.py'
+          - 'doc/Makefile'
+          - 'doc/make.bat'
+          - 'doc/sphinxext/**'
+"Documentation: devdocs":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'doc/devel/**'
+"Documentation: examples":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'galleries/examples/**'
+"Documentation: plot types":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'galleries/plot_types/**'
+"Documentation: tutorials":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'galleries/tutorials/**'
+"Documentation: user guide":
+  - all:
+      - changed-files:
+          - any-glob-to-any-file:
+              - 'doc/users/**'
+              - 'galleries/users_explain/**'
+          - all-globs-to-all-files:
+              - '!doc/users/next_whats_new/**'
+
+"topic: animation":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/animation.py*'
+          - 'lib/matplotlib/_animation_data.py*'
+"topic: axes":
+  - changed-files:
+      - any-glob-to-any-file:
+          # Note, axes.py is not included here because it contains many plotting
+          # methods, for which changes would not be considered on topic.
+          - 'lib/matplotlib/axes/_base.py*'
+"topic: canvas and figure manager":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backend_bases.py*'
+"topic: categorical":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/category.py*'
+"topic: collections and mappables":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/collections.py*'
+"topic: color/color & colormaps":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/colorbar.py*'
+          - 'lib/matplotlib/colors.py*'
+          - 'lib/matplotlib/_color_data.py*'
+          - 'lib/matplotlib/cm.py*'
+          - 'lib/matplotlib/_cm.py*'
+          - 'lib/matplotlib/_cm_listed.py*'
+"topic: contour":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/contour.py*'
+          - 'src/_qhull_wrapper.cpp'
+"topic: date handling":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/dates.py*'
+"topic: figures and subfigures":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/figure.py*'
+"topic: geometry manager":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/_constrained_layout.py*'
+          - 'lib/matplotlib/_layoutgrid.py*'
+          - 'lib/matplotlib/_tight_bbox.py*'
+          - 'lib/matplotlib/_tight_layout.py*'
+          - 'lib/matplotlib/gridspec.py*'
+          - 'lib/matplotlib/layout_engine.py*'
+"topic: hatch":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/hatch.py*'
+"topic: images":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/image.py*'
+          - 'lib/matplotlib/_image.pyi'
+          - 'src/_image_*'
+"topic: legend":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/legend.py*'
+          - 'lib/matplotlib/legend_handler.py*'
+"topic: markers":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/markers.py*'
+"topic: mpl_toolkit":
+  - all:
+      - changed-files:
+          - any-glob-to-any-file:
+              - 'lib/mpl_toolkits/**'
+          - all-globs-to-all-files:
+              - '!lib/mpl_toolkits/mplot3d/**'
+"topic: mplot3d":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/mpl_toolkits/mplot3d/**'
+"topic: path handling":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/path.py*'
+          - 'lib/matplotlib/patheffects.py*'
+          - 'lib/matplotlib/_path.pyi'
+          - 'src/*path*'
+"topic: polar":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/projections/polar.py*'
+"topic: pyplot API":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/pyplot.py'
+          - 'lib/matplotlib/_pylab_helpers.py*'
+"topic: rcparams":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/rcsetup.py*'
+"topic: sankey":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/sankey.py*'
+"topic: sphinx extension":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/sphinxext/**'
+"topic: styles":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/mpl-data/stylelib/**'
+          - 'lib/matplotlib/style/**'
+"topic: table":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/table.py*'
+"topic: text":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/text.py*'
+          - 'lib/matplotlib/textpath.py*'
+"topic: text/fonts":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'src/checkdep_freetype2.c'
+          - 'src/ft2font*'
+"topic: text/mathtext":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/mathtext.py*'
+          - 'lib/matplotlib/_mathtext.py*'
+          - 'lib/matplotlib/_mathtext_data.py*'
+"topic: ticks axis labels":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/axis.py*'
+          - 'lib/matplotlib/ticker.py*'
+"topic: toolbar":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/backend_managers.py*'
+          - 'lib/matplotlib/backend_tools.py*'
+"topic: transforms and scales":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/scale.py*'
+          - 'lib/matplotlib/transforms.py*'
+"topic: tri":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/tri/**'
+          - 'src/tri/**'
+"topic: units and array ducktypes":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/units.py*'
+"topic: widgets/UI":
+  - changed-files:
+      - any-glob-to-any-file:
+          - 'lib/matplotlib/widgets.py*'
diff --git a/.github/workflows/cibuildwheel.yml b/.github/workflows/cibuildwheel.yml
new file mode 100644
index 000000000000..a05d3ccc330c
--- /dev/null
+++ b/.github/workflows/cibuildwheel.yml
@@ -0,0 +1,216 @@
+---
+name: Build CI wheels
+
+on:
+  # Save CI by only running this on release branches or tags.
+  push:
+    branches:
+      - main
+      - v[0-9]+.[0-9]+.x
+    tags:
+      - v*
+  # Also allow running this action on PRs if requested by applying the
+  # "Run cibuildwheel" label.
+  pull_request:
+    types:
+      - opened
+      - synchronize
+      - reopened
+      - labeled
+
+permissions:
+  contents: read
+
+jobs:
+  build_sdist:
+    if: >-
+      github.repository == 'matplotlib/matplotlib' && (
+        github.event_name == 'push' ||
+        github.event_name == 'pull_request' && (
+          (
+            github.event.action == 'labeled' &&
+            github.event.label.name == 'CI: Run cibuildwheel'
+          ) ||
+          contains(github.event.pull_request.labels.*.name,
+                   'CI: Run cibuildwheel')
+        )
+      )
+    name: Build sdist
+    runs-on: ubuntu-latest
+    outputs:
+      SDIST_NAME: ${{ steps.sdist.outputs.SDIST_NAME }}
+
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        name: Install Python
+        with:
+          python-version: '3.11'
+
+      # Something changed somewhere that prevents the downloaded-at-build-time
+      # licenses from being included in built wheels, so pre-download them so
+      # that they exist before the build and are included.
+      - name: Pre-download bundled licenses
+        run: >
+          curl -Lo LICENSE/LICENSE_QHULL
+          https://github.com/qhull/qhull/raw/2020.2/COPYING.txt
+
+      - name: Install dependencies
+        run: python -m pip install build twine
+
+      - name: Build sdist
+        id: sdist
+        run: |
+          python -m build --sdist
+          python ci/export_sdist_name.py
+
+      - name: Check README rendering for PyPI
+        run: twine check dist/*
+
+      - name: Upload sdist result
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02  # v4.6.2
+        with:
+          name: cibw-sdist
+          path: dist/*.tar.gz
+          if-no-files-found: error
+
+  build_wheels:
+    if: >-
+      github.repository == 'matplotlib/matplotlib' && (
+        github.event_name == 'push' ||
+        github.event_name == 'pull_request' && (
+          (
+            github.event.action == 'labeled' &&
+            github.event.label.name == 'CI: Run cibuildwheel'
+          ) ||
+          contains(github.event.pull_request.labels.*.name,
+                   'CI: Run cibuildwheel')
+        )
+      )
+    needs: build_sdist
+    name: Build wheels on ${{ matrix.os }} for ${{ matrix.cibw_archs }}
+    runs-on: ${{ matrix.os }}
+    env:
+      CIBW_BEFORE_BUILD: >-
+        rm -rf {package}/build
+      CIBW_BEFORE_BUILD_WINDOWS: >-
+        pip install delvewheel &&
+        rm -rf {package}/build
+      CIBW_REPAIR_WHEEL_COMMAND_WINDOWS: >-
+        delvewheel repair -w {dest_dir} {wheel}
+      CIBW_AFTER_BUILD: >-
+        twine check {wheel} &&
+        python {package}/ci/check_wheel_licenses.py {wheel}
+      # On Windows, we explicitly request MSVC compilers (as GitHub Action runners have
+      # MinGW on PATH that would be picked otherwise), switch to a static build for
+      # runtimes, but use dynamic linking for `VCRUNTIME140.dll`, `VCRUNTIME140_1.dll`,
+      # and the UCRT. This avoids requiring specific versions of `MSVCP140.dll`, while
+      # keeping shared state with the rest of the Python process/extensions.
+      CIBW_CONFIG_SETTINGS_WINDOWS: >-
+        setup-args="--vsenv"
+        setup-args="-Db_vscrt=mt"
+        setup-args="-Dcpp_link_args=['ucrt.lib','vcruntime.lib','/nodefaultlib:libucrt.lib','/nodefaultlib:libvcruntime.lib']"
+      CIBW_MANYLINUX_X86_64_IMAGE: manylinux2014
+      CIBW_SKIP: "*-musllinux_aarch64"
+      CIBW_TEST_COMMAND: >-
+        python {package}/ci/check_version_number.py
+      MACOSX_DEPLOYMENT_TARGET: "10.12"
+    strategy:
+      matrix:
+        include:
+          - os: ubuntu-latest
+            cibw_archs: "x86_64"
+          - os: ubuntu-24.04-arm
+            cibw_archs: "aarch64"
+          - os: windows-latest
+            cibw_archs: "auto64"
+          - os: macos-13
+            cibw_archs: "x86_64"
+          - os: macos-14
+            cibw_archs: "arm64"
+
+    steps:
+      - name: Download sdist
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
+        with:
+          name: cibw-sdist
+          path: dist/
+
+      - name: Build wheels for CPython 3.13
+        uses: pypa/cibuildwheel@faf86a6ed7efa889faf6996aa23820831055001a  # v2.23.3
+        with:
+          package-dir: dist/${{ needs.build_sdist.outputs.SDIST_NAME }}
+        env:
+          CIBW_BUILD: "cp313-* cp313t-*"
+          CIBW_ENABLE: cpython-freethreading
+          # No free-threading wheels available for aarch64 on Pillow.
+          CIBW_TEST_SKIP: "cp313t-manylinux_aarch64"
+          CIBW_ARCHS: ${{ matrix.cibw_archs }}
+
+      - name: Build wheels for CPython 3.12
+        uses: pypa/cibuildwheel@faf86a6ed7efa889faf6996aa23820831055001a  # v2.23.3
+        with:
+          package-dir: dist/${{ needs.build_sdist.outputs.SDIST_NAME }}
+        env:
+          CIBW_BUILD: "cp312-*"
+          CIBW_ARCHS: ${{ matrix.cibw_archs }}
+
+      - name: Build wheels for CPython 3.11
+        uses: pypa/cibuildwheel@faf86a6ed7efa889faf6996aa23820831055001a  # v2.23.3
+        with:
+          package-dir: dist/${{ needs.build_sdist.outputs.SDIST_NAME }}
+        env:
+          CIBW_BUILD: "cp311-*"
+          CIBW_ARCHS: ${{ matrix.cibw_archs }}
+
+
+      - name: Build wheels for PyPy
+        uses: pypa/cibuildwheel@faf86a6ed7efa889faf6996aa23820831055001a  # v2.23.3
+        with:
+          package-dir: dist/${{ needs.build_sdist.outputs.SDIST_NAME }}
+        env:
+          CIBW_BUILD: "pp311-*"
+          CIBW_ARCHS: ${{ matrix.cibw_archs }}
+          CIBW_ENABLE: pypy
+          # No wheels available for Pillow with pp311 yet.
+          CIBW_TEST_SKIP: "pp311*"
+        if: matrix.cibw_archs != 'aarch64' && matrix.os != 'windows-latest'
+
+      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02  # v4.6.2
+        with:
+          name: cibw-wheels-${{ runner.os }}-${{ matrix.cibw_archs }}
+          path: ./wheelhouse/*.whl
+          if-no-files-found: error
+
+  publish:
+    if: github.repository == 'matplotlib/matplotlib' && github.event_name == 'push' && github.ref_type == 'tag'
+    name: Upload release to PyPI
+    needs: [build_sdist, build_wheels]
+    runs-on: ubuntu-latest
+    environment: release
+    permissions:
+      id-token: write
+      attestations: write
+      contents: read
+    steps:
+      - name: Download packages
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093  # v4.3.0
+        with:
+          pattern: cibw-*
+          path: dist
+          merge-multiple: true
+
+      - name: Print out packages
+        run: ls dist
+
+      - name: Generate artifact attestation for sdist and wheel
+        uses: actions/attest-build-provenance@db473fddc028af60658334401dc6fa3ffd8669fd  # v2.3.0
+        with:
+          subject-path: dist/matplotlib-*
+
+      - name: Publish package distributions to PyPI
+        uses: pypa/gh-action-pypi-publish@76f52bc884231f62b9a034ebfe128415bbaabdfc  # v1.12.4
diff --git a/.github/workflows/circleci.yml b/.github/workflows/circleci.yml
new file mode 100644
index 000000000000..d61db3f14345
--- /dev/null
+++ b/.github/workflows/circleci.yml
@@ -0,0 +1,75 @@
+---
+name: "CircleCI artifact handling"
+on: [status]
+jobs:
+  circleci_artifacts_redirector_job:
+    if: "${{ github.event.context == 'ci/circleci: docs-python3' }}"
+    permissions:
+      statuses: write
+    runs-on: ubuntu-latest
+    name: Run CircleCI artifacts redirector
+    steps:
+      - name: GitHub Action step
+        uses:
+          scientific-python/circleci-artifacts-redirector-action@7eafdb60666f57706a5525a2f5eb76224dc8779b  # v1.1.0
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          api-token: ${{ secrets.CIRCLECI_TOKEN }}
+          artifact-path: 0/doc/build/html/index.html
+          circleci-jobs: docs-python3
+          job-title: View the built docs
+
+  post_warnings_as_review:
+    if: "${{ github.event.context == 'ci/circleci: docs-python3' }}"
+    permissions:
+      contents: read
+      checks: write
+      pull-requests: write
+    runs-on: ubuntu-latest
+    name: Post warnings/errors as review
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Fetch result artifacts
+        id: fetch-artifacts
+        env:
+          target_url: "${{ github.event.target_url }}"
+        run: |
+          python .circleci/fetch_doc_logs.py "${target_url}"
+
+      - name: Set up reviewdog
+        if: "${{ steps.fetch-artifacts.outputs.count != 0 }}"
+        uses: reviewdog/action-setup@e04ffabe3898a0af8d0fb1af00c188831c4b5893  # v1.3.2
+        with:
+          reviewdog_version: latest
+
+      - name: Post review
+        if: "${{ steps.fetch-artifacts.outputs.count != 0 }}"
+        env:
+          REVIEWDOG_GITHUB_API_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          REVIEWDOG_SKIP_DOGHOUSE: "true"
+          CI_COMMIT: ${{ github.event.sha }}
+          CI_REPO_OWNER: ${{ github.event.repository.owner.login }}
+          CI_REPO_NAME: ${{ github.event.repository.name }}
+        run: |
+          # The 'status' event does not contain information in the way that
+          # reviewdog expects, so we unset those so it reads from the
+          # environment variables we set above.
+          unset GITHUB_ACTIONS GITHUB_EVENT_PATH
+          cat logs/sphinx-errors-warnings.log | \
+            reviewdog \
+              -efm '%f\:%l: %tEBUG: %m' \
+              -efm '%f\:%l: %tNFO: %m' \
+              -efm '%f\:%l: %tARNING: %m' \
+              -efm '%f\:%l: %tRROR: %m' \
+              -efm '%f\:%l: %tEVERE: %m' \
+              -efm '%f\:%s: %tARNING: %m' \
+              -efm '%f\:%s: %tRROR: %m' \
+              -name=sphinx -tee -fail-on-error=false \
+              -reporter=github-check -filter-mode=nofilter
+          cat logs/sphinx-deprecations.log | \
+            reviewdog \
+              -efm '%f\:%l: %m' \
+              -name=examples -tee -reporter=github-check -filter-mode=nofilter
diff --git a/.github/workflows/clean_pr.yml b/.github/workflows/clean_pr.yml
new file mode 100644
index 000000000000..fc9021c920c0
--- /dev/null
+++ b/.github/workflows/clean_pr.yml
@@ -0,0 +1,54 @@
+---
+name: PR cleanliness
+on: [pull_request]
+
+permissions:
+  contents: read
+
+jobs:
+  pr_clean:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          fetch-depth: '0'
+          persist-credentials: false
+      - name: Check for added-and-deleted files
+        run: |
+          git fetch --quiet origin "$GITHUB_BASE_REF"
+          base="$(git merge-base "origin/$GITHUB_BASE_REF" 'HEAD^2')"
+          ad="$(git log "$base..HEAD^2" --pretty=tformat: --name-status --diff-filter=AD |
+                cut --fields 2 | sort | uniq --repeated)"
+          if [[ -n "$ad" ]]; then
+            printf 'The following files were both added and deleted in this PR:\n%s\n' "$ad"
+            exit 1
+          fi
+      - name: Check for added-and-modified images
+        run: |
+          git fetch --quiet origin "$GITHUB_BASE_REF"
+          base="$(git merge-base "origin/$GITHUB_BASE_REF" 'HEAD^2')"
+          am="$(git log "$base..HEAD^2" --pretty=tformat: --name-status --diff-filter=AM |
+                cut --fields 2 | sort | uniq --repeated |
+                grep -E '\.(png|pdf|ps|eps|svg)' || true)"
+          if [[ -n "$am" ]]; then
+            printf 'The following images were both added and modified in this PR:\n%s\n' "$am"
+            exit 1
+          fi
+      - name: Check for invalid backports to -doc branches
+        if: endsWith(github.base_ref, '-doc')
+        run: |
+          git fetch --quiet origin "$GITHUB_BASE_REF"
+          base="$(git merge-base "origin/$GITHUB_BASE_REF" 'HEAD^2')"
+          lib="$(git log "$base..HEAD^2" --pretty=tformat: --name-status -- lib src |
+                 cut --fields 2 | sort || true)"
+          if [[ -n "$lib" ]]; then
+            printf 'Changes to the following files have no effect and should not be backported:\n%s\n' "$lib"
+            exit 1
+          fi
+      - name: Check for branches opened against main
+        if: github.ref_name == 'main'
+        run: |
+          echo 'PR branch should not be main.'
+          echo 'See https://matplotlib.org/devdocs/devel/development_workflow.html#make-a-new-feature-branch'
+          exit 1
diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
new file mode 100644
index 000000000000..3f71e1369834
--- /dev/null
+++ b/.github/workflows/codeql-analysis.yml
@@ -0,0 +1,46 @@
+---
+name: "CodeQL"
+
+on:
+  push:
+    branches: [main, v*.x]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [main]
+  schedule:
+    - cron: '45 19 * * 1'
+
+jobs:
+  analyze:
+    if: github.repository == 'matplotlib/matplotlib'
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: ['c-cpp', 'javascript', 'python']
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Initialize CodeQL
+        uses: github/codeql-action/init@ff0a06e83cb2de871e5a09832bc6a81e7276941f  # v3.28.18
+        with:
+          languages: ${{ matrix.language }}
+
+      - name: Build compiled code
+        if: matrix.language == 'c-cpp'
+        run: |
+          pip install --user --upgrade pip
+          pip install --user -v .
+
+      - name: Perform CodeQL Analysis
+        uses: github/codeql-action/analyze@ff0a06e83cb2de871e5a09832bc6a81e7276941f  # v3.28.18
diff --git a/.github/workflows/conflictcheck.yml b/.github/workflows/conflictcheck.yml
new file mode 100644
index 000000000000..f4a687cd28d7
--- /dev/null
+++ b/.github/workflows/conflictcheck.yml
@@ -0,0 +1,24 @@
+---
+name: "Maintenance"
+on:
+  # So that PRs touching the same files as the push are updated
+  push:
+  # So that the `dirtyLabel` is removed if conflicts are resolve
+  # We recommend `pull_request_target` so that github secrets are available.
+  # In `pull_request` we wouldn't be able to change labels of fork PRs
+  pull_request_target:
+    types: [synchronize]
+
+jobs:
+  main:
+    if: github.repository == 'matplotlib/matplotlib'
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    steps:
+      - name: Check if PRs have merge conflicts
+        uses: eps1lon/actions-label-merge-conflict@1df065ebe6e3310545d4f4c4e862e43bdca146f0  # v3.0.3
+        with:
+          dirtyLabel: "status: needs rebase"
+          repoToken: "${{ secrets.GITHUB_TOKEN }}"
+          retryMax: 10
diff --git a/.github/workflows/cygwin.yml b/.github/workflows/cygwin.yml
new file mode 100644
index 000000000000..4a5b79c0538e
--- /dev/null
+++ b/.github/workflows/cygwin.yml
@@ -0,0 +1,250 @@
+---
+name: Cygwin Tests
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
+  cancel-in-progress: true
+
+on:
+  push:
+    branches:
+      - main
+      - v[0-9]+.[0-9]+.[0-9x]+
+    tags:
+      - v*
+    paths:
+      - 'src/**'
+      - '.github/workflows/cygwin.yml'
+  pull_request:
+    types:
+      - opened
+      - synchronize
+      - reopened
+      - labeled
+    branches-ignore:
+      - v[0-9]+.[0-9]+.[0-9x]+-doc
+    paths:
+      - 'src/**'
+      - '.github/workflows/cygwin.yml'
+  schedule:
+    # 5:47 UTC on Saturdays
+    - cron: "47 5 * * 6"
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+env:
+  NO_AT_BRIDGE: 1  # Necessary for GTK3 interactive test.
+  OPENBLAS_NUM_THREADS: 1
+  PYTHONFAULTHANDLER: 1
+  SHELLOPTS: igncr
+  CYGWIN_NOWINPATH: 1
+  CHERE_INVOKING: 1
+  TMP: /tmp
+  TEMP: /tmp
+
+jobs:
+
+  test-cygwin:
+    runs-on: windows-latest
+    name: Python 3.${{ matrix.python-minor-version }} on Cygwin
+    # Enable these when Cygwin has Python 3.12.
+    if: >-
+      github.event_name == 'workflow_dispatch' ||
+      (false && github.event_name == 'schedule') ||
+      (
+        false &&
+        github.repository == 'matplotlib/matplotlib' &&
+        !contains(github.event.head_commit.message, '[ci skip]') &&
+        !contains(github.event.head_commit.message, '[skip ci]') &&
+        !contains(github.event.head_commit.message, '[skip github]') &&
+        !contains(github.event.head_commit.message, '[ci doc]') &&
+        (
+          github.event_name == 'push' ||
+          github.event_name == 'pull_request' &&
+          (
+            (
+              github.event.action == 'labeled' &&
+              github.event.label.name == 'CI: Run cygwin'
+            ) ||
+            contains(github.event.pull_request.labels.*.name, 'CI: Run cygwin')
+          )
+        )
+      )
+    strategy:
+      matrix:
+        python-minor-version: [12]
+
+    steps:
+      - name: Fix line endings
+        run: git config --global core.autocrlf input
+
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - uses: cygwin/cygwin-install-action@f61179d72284ceddc397ed07ddb444d82bf9e559  # v5
+        with:
+          packages: >-
+            ccache gcc-g++ gdb git graphviz libcairo-devel libffi-devel
+            libgeos-devel libQt5Core-devel pkgconf libglib2.0-devel ninja
+            noto-cjk-fonts
+            python3${{ matrix.python-minor-version }}-devel
+            python3${{ matrix.python-minor-version }}-pip
+            python3${{ matrix.python-minor-version }}-wheel
+            python3${{ matrix.python-minor-version }}-setuptools
+            python3${{ matrix.python-minor-version }}-cycler
+            python3${{ matrix.python-minor-version }}-dateutil
+            python3${{ matrix.python-minor-version }}-fonttools
+            python3${{ matrix.python-minor-version }}-imaging
+            python3${{ matrix.python-minor-version }}-kiwisolver
+            python3${{ matrix.python-minor-version }}-numpy
+            python3${{ matrix.python-minor-version }}-packaging
+            python3${{ matrix.python-minor-version }}-pyparsing
+            python3${{ matrix.python-minor-version }}-sip
+            python3${{ matrix.python-minor-version }}-sphinx
+            python-cairo-devel
+            python3${{ matrix.python-minor-version }}-cairo
+            python3${{ matrix.python-minor-version }}-gi
+            python3${{ matrix.python-minor-version }}-matplotlib
+            xorg-server-extra libxcb-icccm4 libxcb-image0
+            libxcb-keysyms1 libxcb-randr0 libxcb-render-util0
+            libxcb-xinerama0
+            make autoconf autoconf2.5 automake automake1.10 libtool m4
+            libqhull-devel libfreetype-devel
+            libjpeg-devel libwebp-devel
+
+      - name: Set runner username to root and id to 0
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        # GitHub Actions runs everything as Administrator.  I don't
+        # know how to test for this, so set the uid for the CI job so
+        # that the existing unix root detection will work.
+        run: /bin/mkpasswd.exe -c | sed -e "s/$(id -u)/0/" >/etc/passwd
+
+      - name: Mark test repo safe
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          git.exe config --global --add safe.directory /proc/cygdrive/d/a/matplotlib/matplotlib
+          git config --global --add safe.directory /cygdrive/d/a/matplotlib/matplotlib
+          C:/cygwin/bin/git.exe config --global --add safe.directory D:/a/matplotlib/matplotlib
+          /usr/bin/git config --global --add safe.directory /cygdrive/d/a/matplotlib/matplotlib
+
+      - name: Use dash for /bin/sh
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          ls -l /bin/sh.exe /bin/bash.exe /bin/dash.exe
+          /bin/rm -f /bin/sh.exe || exit 1
+          cp -sf /bin/dash.exe /bin/sh.exe || exit 1
+          ls -l /bin/sh.exe /bin/bash.exe /bin/dash.exe
+        # FreeType build fails with bash, succeeds with dash
+
+      - name: Cache pip
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        with:
+          path: C:\cygwin\home\runneradmin\.cache\pip
+          key: Cygwin-py3.${{ matrix.python-minor-version }}-pip-${{ hashFiles('requirements/*/*.txt') }}
+          restore-keys: ${{ matrix.os }}-py3.${{ matrix.python-minor-version }}-pip-
+
+      - name: Cache ccache
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        with:
+          path: C:\cygwin\home\runneradmin\.ccache
+          key: Cygwin-py3.${{ matrix.python-minor-version }}-ccache-${{ hashFiles('src/*') }}
+          restore-keys: Cygwin-py3.${{ matrix.python-minor-version }}-ccache-
+
+      - name: Cache Matplotlib
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        with:
+          path: |
+            C:\cygwin\home\runneradmin\.cache\matplotlib
+            !C:\cygwin\home\runneradmin\.cache\matplotlib\tex.cache
+            !C:\cygwin\home\runneradmin\.cache\matplotlib\test_cache
+          key: 1-Cygwin-py3.${{ matrix.python-minor-version }}-mpl-${{ github.ref }}-${{ github.sha }}
+          restore-keys: |
+            1-Cygwin-py3.${{ matrix.python-minor-version }}-mpl-${{ github.ref }}-
+            1-Cygwin-py3.${{ matrix.python-minor-version }}-mpl-
+
+      - name: Ensure correct Python version
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          /usr/sbin/alternatives --set python /usr/bin/python3.${{ matrix.python-minor-version }}
+          /usr/sbin/alternatives --set python3 /usr/bin/python3.${{ matrix.python-minor-version }}
+
+      - name: Install Python dependencies
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          python -m pip install --upgrade pip setuptools wheel
+          python -m pip install kiwisolver 'numpy>=1.22,<1.26' pillow importlib_resources
+          grep -v -F -e psutil requirements/testing/all.txt >requirements_test.txt
+          python -m pip install meson-python pybind11
+          export PATH="/usr/local/bin:$PATH"
+          python -m pip install --no-build-isolation 'contourpy>=1.0.1'
+          python -m pip install --upgrade cycler fonttools \
+              packaging pyparsing python-dateutil setuptools-scm \
+              -r requirements_test.txt sphinx ipython
+          python -m pip install --upgrade pycairo 'cairocffi>=0.8' PyGObject &&
+             python -c 'import gi; gi.require_version("Gtk", "3.0"); from gi.repository import Gtk' &&
+             echo 'PyGObject is available' ||
+             echo 'PyGObject is not available'
+          python -m pip install --upgrade pyqt5  &&
+             python -c 'import PyQt5.QtCore' &&
+             echo 'PyQt5 is available' ||
+             echo 'PyQt5 is not available'
+          python -mpip install --upgrade pyside2 &&
+              python -c 'import PySide2.QtCore' &&
+              echo 'PySide2 is available' ||
+              echo 'PySide2 is not available'
+          python -m pip uninstall --yes wxpython || echo 'wxPython already uninstalled'
+
+      - name: Install Matplotlib
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        env:
+          AUTOCONF: /usr/bin/autoconf-2.69
+          MAKEFLAGS: dw
+        run: |
+          export PATH="/usr/local/bin:$PATH"
+          ccache -s
+          git describe
+          # All dependencies must have been pre-installed, so that the minver
+          # constraints are held.
+          python -m pip install --no-deps --no-build-isolation --verbose \
+            --config-settings=setup-args="-DrcParams-backend=Agg" \
+            --editable .[dev]
+
+      - name: Find DLLs to rebase
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          find {/usr,/usr/local}/{bin,lib/python3.*/site-packages} /usr/lib/lapack . \
+            -name \*.exe -o -name \*.dll -print >files_to_rebase.txt
+
+      - name: Rebase DLL list
+        shell: ash.exe "{0}"
+        run: "rebase --database --filelist=files_to_rebase.txt"
+        # Inplace modification of DLLs to assign non-overlapping load
+        # addresses so fork() works as expected.  Ash is used as it
+        # does not link against any Cygwin DLLs that might need to be
+        # rebased.
+
+      - name: Check that Matplotlib imports
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          /usr/bin/python -c "import matplotlib as mpl; import matplotlib.pyplot as plt"
+
+      - name: Set ffmpeg path
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        run: |
+          oldmplrc=$(python -c "from matplotlib import matplotlib_fname as mplrc_file; print(mplrc_file())")
+          echo "${oldmplrc}"
+          mkdir -p ~/.matplotlib/
+          sed -E \
+            -e 's~#animation\.ffmpeg_path:.+~animation.ffmpeg_path: /usr/bin/ffmpeg.exe~' \
+            "${oldmplrc}" >~/.matplotlib/matplotlibrc
+
+      - name: Run pytest
+        shell: bash.exe -eo pipefail -o igncr "{0}"
+        id: cygwin-run-pytest
+        run: |
+          xvfb-run pytest-3.${{ matrix.python-minor-version }} -rfEsXR -n auto \
+            --maxfail=50 --timeout=300 --durations=25 \
+            --cov-report=term --cov=lib --log-level=DEBUG --color=yes
diff --git a/.github/workflows/do_not_merge.yml b/.github/workflows/do_not_merge.yml
new file mode 100644
index 000000000000..d8664df9ba9a
--- /dev/null
+++ b/.github/workflows/do_not_merge.yml
@@ -0,0 +1,29 @@
+---
+name: Do Not Merge
+
+# action to block merging on specific labels
+on:
+  pull_request:
+    types: [synchronize, opened, reopened, labeled, unlabeled]
+
+permissions: {}
+
+jobs:
+  do-not-merge:
+    name: Prevent Merging
+    runs-on: ubuntu-latest
+    env:
+      has_tag: >-
+         ${{contains(github.event.pull_request.labels.*.name, 'status: needs comment/discussion') ||
+            contains(github.event.pull_request.labels.*.name, 'status: waiting for other PR')}}
+    steps:
+      - name: Check for label
+        if: ${{'true' == env.has_tag}}
+        run: |
+          echo "This PR cannot be merged because it has one of the following labels: "
+          echo "* status: needs comment/discussion"
+          echo "* status: waiting for other PR"
+          exit 1
+      - name: Allow merging
+        if: ${{'false' == env.has_tag}}
+        run: exit 0
diff --git a/.github/workflows/good-first-issue.yml b/.github/workflows/good-first-issue.yml
new file mode 100644
index 000000000000..cc15717e3351
--- /dev/null
+++ b/.github/workflows/good-first-issue.yml
@@ -0,0 +1,30 @@
+---
+name: Add comment on good first issues
+on:
+  issues:
+    types:
+      - labeled
+jobs:
+  add-comment:
+    if: github.event.label.name == 'Good first issue'
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+    steps:
+      - name: Add comment
+        uses: peter-evans/create-or-update-comment@71345be0265236311c031f5c7866368bd1eff043  # v4.0.0
+        with:
+          issue-number: ${{ github.event.issue.number }}
+          body: |
+            ### Good first issue - notes for new contributors
+
+            This issue is suited to new contributors because it does not require understanding of the
+            Matplotlib internals. To get started, please see our [contributing
+            guide](https://matplotlib.org/stable/devel/index).
+
+            **We do not assign issues**. Check the *Development* section in the sidebar for linked pull
+            requests (PRs). If there are none, feel free to start working on it. If there is an open PR, please
+            collaborate on the work by reviewing it rather than duplicating it in a competing PR.
+
+            If something is unclear, please reach out on any of our [communication
+            channels](https://matplotlib.org/stable/devel/contributing.html#get-connected).
diff --git a/.github/workflows/labeler.yml b/.github/workflows/labeler.yml
new file mode 100644
index 000000000000..8e2002353164
--- /dev/null
+++ b/.github/workflows/labeler.yml
@@ -0,0 +1,15 @@
+---
+name: "Pull Request Labeler"
+on:
+  - pull_request_target
+
+jobs:
+  labeler:
+    permissions:
+      contents: read
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/labeler@8558fd74291d67161a8a78ce36a881fa63b766a9  # v5.0.0
+        with:
+          sync-labels: true
diff --git a/.github/workflows/mypy-stubtest.yml b/.github/workflows/mypy-stubtest.yml
new file mode 100644
index 000000000000..92a67236fb9d
--- /dev/null
+++ b/.github/workflows/mypy-stubtest.yml
@@ -0,0 +1,47 @@
+---
+name: Mypy Stubtest
+on: [pull_request]
+
+permissions:
+  contents: read
+
+jobs:
+  mypy-stubtest:
+    name: mypy-stubtest
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Set up Python 3
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        with:
+          python-version: '3.11'
+
+      - name: Set up reviewdog
+        uses: reviewdog/action-setup@e04ffabe3898a0af8d0fb1af00c188831c4b5893  # v1.3.9
+
+      - name: Install tox
+        run: python -m pip install tox
+
+      - name: Run mypy stubtest
+        env:
+          REVIEWDOG_GITHUB_API_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -o pipefail
+          tox -e stubtest | \
+              sed -e "s!.tox/stubtest/lib/python3.11/site-packages!lib!g" | \
+              reviewdog \
+                -efm '%Eerror: %m' \
+                -efm '%CStub: in file %f:%l' \
+                -efm '%CStub: in file %f' \
+                -efm '%+CRuntime:%.%#' \
+                -efm '%+CMISSING' \
+                -efm '%+Cdef %.%#' \
+                -efm '%+C<%.%#>' \
+                -efm '%Z' \
+                -reporter=github-check -tee -name=mypy-stubtest \
+                -filter-mode=nofilter
diff --git a/.github/workflows/nightlies.yml b/.github/workflows/nightlies.yml
new file mode 100644
index 000000000000..393ce2e73472
--- /dev/null
+++ b/.github/workflows/nightlies.yml
@@ -0,0 +1,65 @@
+---
+name: Upload nightly wheels to Anaconda Cloud
+
+on:
+  # Run daily at 1:23 UTC to upload nightly wheels to Anaconda Cloud
+  schedule:
+    - cron: '23 1 * * *'
+  # Run on demand with workflow dispatch
+  workflow_dispatch:
+
+permissions:
+  actions: read
+
+jobs:
+  upload_nightly_wheels:
+    name: Upload nightly wheels to Anaconda Cloud
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        # The login shell is necessary for the setup-micromamba setup
+        # to work in subsequent jobs.
+        # https://github.com/mamba-org/setup-micromamba#about-login-shells
+        shell: bash -e -l {0}
+    if: github.repository_owner == 'matplotlib'
+
+    steps:
+      # https://github.com/actions/download-artifact/issues/3#issuecomment-1017141067
+      - name: Download wheel artifacts from last build on 'main'
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          PROJECT_REPO="matplotlib/matplotlib"
+          BRANCH="main"
+          WORKFLOW_NAME="cibuildwheel.yml"
+          ARTIFACT_PATTERN="cibw-wheels-*"
+
+          gh run --repo "${PROJECT_REPO}" \
+             list --branch "${BRANCH}" \
+                  --workflow "${WORKFLOW_NAME}" \
+                  --json event,status,conclusion,databaseId > runs.json
+          RUN_ID=$(
+            jq --compact-output \
+              '[
+                .[] |
+                # Filter on "push" events to main (merged PRs) ...
+                select(.event == "push") |
+                # that have completed successfully ...
+                select(.status == "completed" and .conclusion == "success")
+               ] |
+              # and get ID of latest build of wheels.
+              sort_by(.databaseId) | reverse | .[0].databaseId' runs.json
+          )
+          gh run --repo "${PROJECT_REPO}" view "${RUN_ID}"
+          gh run --repo "${PROJECT_REPO}" \
+             download "${RUN_ID}" --pattern "${ARTIFACT_PATTERN}"
+
+          mkdir dist
+          mv ${ARTIFACT_PATTERN}/*.whl dist/
+          ls -l dist/
+
+      - name: Upload wheels to Anaconda Cloud as nightlies
+        uses: scientific-python/upload-nightly-action@b36e8c0c10dbcfd2e05bf95f17ef8c14fd708dbf  # 0.6.2
+        with:
+          artifacts_path: dist
+          anaconda_nightly_upload_token: ${{ secrets.ANACONDA_ORG_UPLOAD_TOKEN }}
diff --git a/.github/workflows/pr_welcome.yml b/.github/workflows/pr_welcome.yml
new file mode 100644
index 000000000000..3bb172ca70e7
--- /dev/null
+++ b/.github/workflows/pr_welcome.yml
@@ -0,0 +1,37 @@
+---
+name: PR Greetings
+
+on: [pull_request_target]
+
+jobs:
+  greeting:
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    steps:
+      - uses: actions/first-interaction@34f15e814fe48ac9312ccf29db4e74fa767cbab7  # v1.3.0
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          pr-message: >+
+            Thank you for opening your first PR into Matplotlib!
+
+
+            If you have not heard from us in a week or so, please leave a new
+            comment below and that should bring it to our attention.
+            Most of our reviewers are volunteers and sometimes things fall
+            through the cracks.
+
+
+            You can also join us [on
+            gitter](https://gitter.im/matplotlib/matplotlib) for real-time
+            discussion.
+
+
+            For details on testing, writing docs, and our review process,
+            please see [the developer
+            guide](https://matplotlib.org/devdocs/devel/index.html)
+
+
+            We strive to be a welcoming and open project. Please follow our
+            [Code of
+            Conduct](https://github.com/matplotlib/matplotlib/blob/main/CODE_OF_CONDUCT.md).
diff --git a/.github/workflows/reviewdog.yml b/.github/workflows/reviewdog.yml
new file mode 100644
index 000000000000..bfad14923b82
--- /dev/null
+++ b/.github/workflows/reviewdog.yml
@@ -0,0 +1,99 @@
+---
+name: Linting
+on: [pull_request]
+
+permissions:
+  contents: read
+
+jobs:
+  pre-commit:
+    name: precommit
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          fetch-depth: 0
+      - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        with:
+          python-version: "3.x"
+      - uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd  # v3.0.1
+        with:
+          extra_args: --hook-stage manual --all-files
+
+  ruff:
+    name: ruff
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Set up Python 3
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        with:
+          python-version: '3.11'
+
+      - name: Install ruff
+        run: pip3 install ruff
+
+      - name: Set up reviewdog
+        uses: reviewdog/action-setup@e04ffabe3898a0af8d0fb1af00c188831c4b5893  # v1.3.9
+
+      - name: Run ruff
+        env:
+          REVIEWDOG_GITHUB_API_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -o pipefail
+          ruff check --output-format rdjson | \
+            reviewdog -f=rdjson \
+              -tee -reporter=github-check -filter-mode nofilter
+  mypy:
+    name: mypy
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Set up Python 3
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        with:
+          python-version: '3.11'
+
+      - name: Install mypy
+        run: pip3 install -r requirements/testing/mypy.txt -r requirements/testing/all.txt
+
+      - name: Set up reviewdog
+        uses: reviewdog/action-setup@e04ffabe3898a0af8d0fb1af00c188831c4b5893  # v1.3.9
+
+      - name: Run mypy
+        env:
+          REVIEWDOG_GITHUB_API_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          set -o pipefail
+          mypy --config pyproject.toml | \
+            reviewdog -f=mypy -name=mypy \
+              -tee -reporter=github-check -filter-mode nofilter
+
+
+  eslint:
+    name: eslint
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: eslint
+        uses: reviewdog/action-eslint@2fee6dd72a5419ff4113f694e2068d2a03bb35dd  # v1.33.2
+        with:
+          filter_mode: nofilter
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          reporter: github-check
+          workdir: 'lib/matplotlib/backends/web_backend/'
diff --git a/.github/workflows/stale-tidy.yml b/.github/workflows/stale-tidy.yml
new file mode 100644
index 000000000000..bc50dc892155
--- /dev/null
+++ b/.github/workflows/stale-tidy.yml
@@ -0,0 +1,24 @@
+---
+name: 'Close inactive issues'
+on:
+  schedule:
+    - cron: '30 1 * * 2,4,6'
+
+jobs:
+  stale:
+    if: github.repository == 'matplotlib/matplotlib'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/stale@5bef64f19d7facfb25b37b414482c7164d639639  # v9.1.0
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          operations-per-run: 300
+          days-before-stale: -1
+          stale-pr-label: "status: inactive"
+          days-before-pr-close: -1
+          stale-issue-label: "status: inactive"
+          close-issue-label: "status: closed as inactive"
+          days-before-issue-close: 30
+          ascending: true
+          exempt-issue-labels: "keep"
+          exempt-pr-labels: "keep,status: orphaned PR"
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml
new file mode 100644
index 000000000000..b65b44a59e88
--- /dev/null
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,38 @@
+---
+name: 'Label inactive PRs'
+on:
+  schedule:
+    - cron: '30 1 * * 1,3,5'
+
+jobs:
+  stale:
+    if: github.repository == 'matplotlib/matplotlib'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/stale@5bef64f19d7facfb25b37b414482c7164d639639  # v9.1.0
+        with:
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          operations-per-run: 20
+          stale-pr-message: >-
+            Since this Pull Request has not been updated in 60 days, it has been marked "inactive." This does
+            not mean that it will be closed, though it may be moved to a "Draft" state. This helps maintainers
+            prioritize their reviewing efforts. You can pick the PR back up anytime - please ping us if you
+            need a review or guidance to move the PR forward! If you do not plan on continuing the work, please
+            let us know so that we can either find someone to take the PR over, or close it.
+          stale-pr-label: "status: inactive"
+          days-before-pr-stale: 60
+          days-before-pr-close: -1
+          stale-issue-message: >-
+            This issue has been marked "inactive" because it has been 365 days since the last comment. If this
+            issue is still present in recent Matplotlib releases, or the feature request is still wanted,
+            please leave a comment and this label will be removed. If there are no updates in another 30 days,
+            this issue will be automatically closed, but you are free to re-open or create a new issue if
+            needed. We value issue reports, and this procedure is meant to help us resurface and prioritize
+            issues that have not been addressed yet, not make them disappear. Thanks for your help!
+          stale-issue-label: "status: inactive"
+          close-issue-label: "status: closed as inactive"
+          days-before-issue-stale: 365
+          days-before-issue-close: 30
+          ascending: true
+          exempt-issue-labels: "keep"
+          exempt-pr-labels: "keep,status: orphaned PR"
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
new file mode 100644
index 000000000000..2a48276707ce
--- /dev/null
+++ b/.github/workflows/tests.yml
@@ -0,0 +1,436 @@
+---
+name: Tests
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.number }}-${{ github.event.ref }}
+  cancel-in-progress: true
+
+on:
+  push:
+    branches-ignore:
+      - auto-backport-of-pr-[0-9]+
+      - v[0-9]+.[0-9]+.[0-9x]+-doc
+      - dependabot/**
+  pull_request:
+    branches-ignore:
+      - v[0-9]+.[0-9]+.[0-9x]+-doc
+    paths-ignore:
+      # Skip running tests if changes are only in documentation directories
+      - 'doc/**'
+      - 'galleries/**'
+  schedule:
+    # 5:47 UTC on Saturdays
+    - cron: "47 5 * * 6"
+  workflow_dispatch:
+
+env:
+  NO_AT_BRIDGE: 1  # Necessary for GTK3 interactive test.
+  OPENBLAS_NUM_THREADS: 1
+  PYTHONFAULTHANDLER: 1
+
+jobs:
+  test:
+    if: >-
+      github.event_name == 'workflow_dispatch' ||
+      (
+        github.repository == 'matplotlib/matplotlib' &&
+        !contains(github.event.head_commit.message, '[ci skip]') &&
+        !contains(github.event.head_commit.message, '[skip ci]') &&
+        !contains(github.event.head_commit.message, '[skip github]') &&
+        !contains(github.event.head_commit.message, '[ci doc]')
+      )
+    permissions:
+      contents: read
+    name: "Python ${{ matrix.python-version }} on ${{ matrix.os }} ${{ matrix.name-suffix }}"
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - name-suffix: "(Minimum Versions)"
+            os: ubuntu-22.04
+            python-version: '3.11'
+            extra-requirements: '-c requirements/testing/minver.txt'
+            delete-font-cache: true
+            # https://github.com/matplotlib/matplotlib/issues/29844
+            pygobject-ver: '<3.52.0'
+          - os: ubuntu-22.04
+            python-version: '3.11'
+            CFLAGS: "-fno-lto"  # Ensure that disabling LTO works.
+            extra-requirements: '-r requirements/testing/extra.txt'
+            # https://github.com/matplotlib/matplotlib/issues/29844
+            pygobject-ver: '<3.52.0'
+          - os: ubuntu-22.04-arm
+            python-version: '3.12'
+            # https://github.com/matplotlib/matplotlib/issues/29844
+            pygobject-ver: '<3.52.0'
+          - name-suffix: "(Extra TeX packages)"
+            os: ubuntu-22.04
+            python-version: '3.13'
+            extra-packages: 'texlive-fonts-extra texlive-lang-cyrillic'
+            # https://github.com/matplotlib/matplotlib/issues/29844
+            pygobject-ver: '<3.52.0'
+          - name-suffix: "Free-threaded"
+            os: ubuntu-22.04
+            python-version: '3.13t'
+            # https://github.com/matplotlib/matplotlib/issues/29844
+            pygobject-ver: '<3.52.0'
+          - os: ubuntu-24.04
+            python-version: '3.12'
+          - os: macos-13  # This runner is on Intel chips.
+            # merge numpy and pandas install in nighties test when this runner is dropped
+            python-version: '3.11'
+          - os: macos-14  # This runner is on M1 (arm64) chips.
+            python-version: '3.12'
+            # https://github.com/matplotlib/matplotlib/issues/29732
+            pygobject-ver: '<3.52.0'
+          - os: macos-14  # This runner is on M1 (arm64) chips.
+            python-version: '3.13'
+            # https://github.com/matplotlib/matplotlib/issues/29732
+            pygobject-ver: '<3.52.0'
+
+    steps:
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065  # v5.6.0
+        with:
+          python-version: ${{ matrix.python-version }}
+          allow-prereleases: true
+
+      - name: Install OS dependencies
+        run: |
+          case "${{ runner.os }}" in
+          Linux)
+            echo 'Acquire::Retries "3";' | sudo tee /etc/apt/apt.conf.d/80-retries
+            sudo apt-get update -yy
+            sudo apt-get install -yy --no-install-recommends \
+              ccache \
+              cm-super \
+              dvipng \
+              fonts-freefont-otf \
+              fonts-noto-cjk \
+              fonts-wqy-zenhei \
+              gdb \
+              gir1.2-gtk-3.0 \
+              graphviz \
+              inkscape \
+              language-pack-de \
+              lcov \
+              libcairo2 \
+              libcairo2-dev \
+              libffi-dev \
+              libgeos-dev \
+              libnotify4 \
+              libsdl2-2.0-0 \
+              libxkbcommon-x11-0 \
+              libxcb-cursor0 \
+              libxcb-icccm4 \
+              libxcb-image0 \
+              libxcb-keysyms1 \
+              libxcb-randr0 \
+              libxcb-render-util0 \
+              libxcb-xinerama0 \
+              lmodern \
+              ninja-build \
+              pkg-config \
+              qtbase5-dev \
+              texlive-fonts-recommended \
+              texlive-latex-base \
+              texlive-latex-extra \
+              texlive-latex-recommended \
+              texlive-luatex \
+              texlive-pictures \
+              texlive-xetex \
+              ${{ matrix.extra-packages }}
+            if [[ "${{ matrix.name-suffix }}" != '(Minimum Versions)' ]]; then
+              sudo apt-get install -yy --no-install-recommends ffmpeg poppler-utils
+            fi
+            if [[ "${{ matrix.os }}" = ubuntu-22.04 || "${{ matrix.os }}" = ubuntu-22.04-arm ]]; then
+              sudo apt-get install -yy --no-install-recommends \
+                gir1.2-gtk-4.0 \
+                libgirepository1.0-dev
+            else  # ubuntu-24.04
+              sudo apt-get install -yy --no-install-recommends \
+                libgirepository-2.0-dev
+            fi
+            ;;
+          macOS)
+            brew update
+            # Periodically, Homebrew updates Python and fails to overwrite the
+            # existing not-managed-by-Homebrew copy without explicitly being told
+            # to do so. GitHub/Azure continues to avoid fixing their runner images:
+            # https://github.com/actions/runner-images/issues/9966
+            # so force an overwrite even if there are no Python updates.
+            # We don't even care about Homebrew's Python because we use the one
+            # from actions/setup-python.
+            for python_package in $(brew list | grep python@); do
+              brew unlink ${python_package}
+              brew link --overwrite ${python_package}
+            done
+            # Workaround for https://github.com/actions/runner-images/issues/10984
+            brew uninstall --ignore-dependencies --force pkg-config@0.29.2
+            brew install ccache ffmpeg ghostscript gobject-introspection gtk4 imagemagick ninja
+            brew install --cask font-noto-sans-cjk font-noto-sans-cjk-sc inkscape
+            ;;
+          esac
+
+      - name: Cache pip
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        if: startsWith(runner.os, 'Linux')
+        with:
+          path: ~/.cache/pip
+          key: ${{ matrix.os }}-py${{ matrix.python-version }}-pip-${{ hashFiles('requirements/*/*.txt') }}
+          restore-keys: |
+            ${{ matrix.os }}-py${{ matrix.python-version }}-pip-
+      - name: Cache pip
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        if: startsWith(runner.os, 'macOS')
+        with:
+          path: ~/Library/Caches/pip
+          key: ${{ matrix.os }}-py${{ matrix.python-version }}-pip-${{ hashFiles('requirements/*/*.txt') }}
+          restore-keys: |
+            ${{ matrix.os }}-py${{ matrix.python-version }}-pip-
+      - name: Cache ccache
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        with:
+          path: |
+            ~/.ccache
+          key: ${{ matrix.os }}-py${{ matrix.python-version }}-ccache-${{ hashFiles('src/*') }}
+          restore-keys: |
+            ${{ matrix.os }}-py${{ matrix.python-version }}-ccache-
+      - name: Cache Matplotlib
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684  # v4.2.3
+        with:
+          path: |
+            ~/.cache/matplotlib
+            !~/.cache/matplotlib/tex.cache
+            !~/.cache/matplotlib/test_cache
+          key: 6-${{ matrix.os }}-py${{ matrix.python-version }}-mpl-${{ github.ref }}-${{ github.sha }}
+          restore-keys: |
+            6-${{ matrix.os }}-py${{ matrix.python-version }}-mpl-${{ github.ref }}-
+            6-${{ matrix.os }}-py${{ matrix.python-version }}-mpl-
+
+      - name: Install Python dependencies
+        run: |
+          # Upgrade pip and setuptools and wheel to get as clean an install as
+          # possible.
+          python -m pip install --upgrade pip setuptools wheel
+
+          # Install pre-release versions during our weekly upcoming dependency tests.
+          if [[ "${{ github.event_name }}" == 'schedule'
+                && "${{ matrix.name-suffix }}" != '(Minimum Versions)' ]]; then
+            PRE="--pre"
+          fi
+
+          # Install dependencies from PyPI.
+          # Preinstall build requirements to enable no-build-isolation builds.
+          python -m pip install --upgrade $PRE \
+            'contourpy>=1.0.1' cycler fonttools kiwisolver importlib_resources \
+            packaging pillow 'pyparsing!=3.1.0' python-dateutil setuptools-scm \
+            'meson-python>=0.13.1' 'pybind11>=2.13.2' \
+            -r requirements/testing/all.txt \
+            ${{ matrix.extra-requirements }}
+
+          # Install optional dependencies from PyPI.
+          # Sphinx is needed to run sphinxext tests
+          python -m pip install --upgrade sphinx!=6.1.2
+
+          if [[ "${{ matrix.python-version }}" != '3.13t' ]]; then
+          # GUI toolkits are pip-installable only for some versions of Python
+          # so don't fail if we can't install them.  Make it easier to check
+          # whether the install was successful by trying to import the toolkit
+          # (sometimes, the install appears to be successful but shared
+          # libraries cannot be loaded at runtime, so an actual import is a
+          # better check).
+          python -m pip install --upgrade pycairo 'cairocffi>=0.8' 'PyGObject${{ matrix.pygobject-ver }}' &&
+            (
+              python -c 'import gi; gi.require_version("Gtk", "4.0"); from gi.repository import Gtk' &&
+              echo 'PyGObject 4 is available' || echo 'PyGObject 4 is not available'
+            ) && (
+              python -c 'import gi; gi.require_version("Gtk", "3.0"); from gi.repository import Gtk' &&
+              echo 'PyGObject 3 is available' || echo 'PyGObject 3 is not available'
+            )
+
+          # PyQt5 does not have any wheels for ARM on Linux.
+          if [[ "${{ matrix.os }}" != 'ubuntu-22.04-arm' ]]; then
+            python -mpip install --upgrade --only-binary :all: pyqt5 &&
+              python -c 'import PyQt5.QtCore' &&
+              echo 'PyQt5 is available' ||
+              echo 'PyQt5 is not available'
+          fi
+          # Even though PySide2 wheels can be installed on Python 3.12+, they are broken and since PySide2 is
+          # deprecated, they are unlikely to be fixed. For the same deprecation reason, there are no wheels
+          # on M1 macOS, so don't bother there either.
+          if [[ "${{ matrix.os }}" != 'macos-14'
+                && "${{ matrix.python-version }}" != '3.12' && "${{ matrix.python-version }}" != '3.13' ]]; then
+            python -mpip install --upgrade pyside2 &&
+              python -c 'import PySide2.QtCore' &&
+              echo 'PySide2 is available' ||
+              echo 'PySide2 is not available'
+          fi
+          python -mpip install --upgrade --only-binary :all: pyqt6 &&
+            python -c 'import PyQt6.QtCore' &&
+            echo 'PyQt6 is available' ||
+            echo 'PyQt6 is not available'
+          python -mpip install --upgrade --only-binary :all: pyside6 &&
+            python -c 'import PySide6.QtCore' &&
+            echo 'PySide6 is available' ||
+            echo 'PySide6 is not available'
+
+          python -mpip install --upgrade --only-binary :all: \
+            -f "https://extras.wxpython.org/wxPython4/extras/linux/gtk3/${{ matrix.os }}" \
+            wxPython &&
+            python -c 'import wx' &&
+            echo 'wxPython is available' ||
+            echo 'wxPython is not available'
+
+          fi  # Skip backends on Python 3.13t.
+
+      - name: Install the nightly dependencies
+        # Only install the nightly dependencies during the scheduled event
+        if: github.event_name == 'schedule' && matrix.name-suffix != '(Minimum Versions)'
+        run: |
+          python -m pip install pytz tzdata  # Must be installed for Pandas.
+          python -m pip install \
+            --index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple \
+            --upgrade --only-binary=:all: numpy
+          # wheels for intel osx is not always available on nightly wheels index, merge this back into
+          # the above install command when the OSX-13 (intel) runners are dropped.
+          python -m pip install \
+            --index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple \
+            --upgrade --only-binary=:all: pandas || true
+
+
+      - name: Install Matplotlib
+        run: |
+          ccache -s
+          git describe
+
+          # Set flag in a delayed manner to avoid issues with installing other
+          # packages
+          if [[ "${{ runner.os }}" == 'macOS' ]]; then
+            export CPPFLAGS='-fprofile-instr-generate=default.%m.profraw'
+            export CPPFLAGS="$CPPFLAGS -fcoverage-mapping"
+          else
+            export CPPFLAGS='--coverage -fprofile-abs-path'
+          fi
+
+          python -m pip install --no-deps --no-build-isolation --verbose \
+            --config-settings=setup-args="-DrcParams-backend=Agg" \
+            --editable .[dev]
+
+          if [[ "${{ runner.os }}" != 'macOS' ]]; then
+            unset CPPFLAGS
+          fi
+
+      - name: Clear font cache
+        run: |
+          rm -rf ~/.cache/matplotlib
+        if: matrix.delete-font-cache
+
+      - name: Run pytest
+        run: |
+          if [[ "${{ matrix.python-version }}" == '3.13t' ]]; then
+            export PYTHON_GIL=0
+          fi
+          pytest -rfEsXR -n auto \
+            --maxfail=50 --timeout=300 --durations=25 \
+            --cov-report=xml --cov=lib --log-level=DEBUG --color=yes
+
+      - name: Cleanup non-failed image files
+        if: failure()
+        run: |
+          function remove_files() {
+              local extension=$1
+              find ./result_images -type f -name "*-expected*.$extension" | while read file; do
+                  if [[ $file == *"-expected_pdf"* ]]; then
+                      base=${file%-expected_pdf.$extension}_pdf
+                  elif [[ $file == *"-expected_eps"* ]]; then
+                      base=${file%-expected_eps.$extension}_eps
+                  elif [[ $file == *"-expected_svg"* ]]; then
+                      base=${file%-expected_svg.$extension}_svg
+                  else
+                      base=${file%-expected.$extension}
+                  fi
+                  if [[ ! -e "${base}-failed-diff.$extension" ]]; then
+                      if [[ -e "$file" ]]; then
+                          rm "$file"
+                          echo "Removed $file"
+                      fi
+                      if [[ -e "${base}.$extension" ]]; then
+                          rm "${base}.$extension"
+                          echo " Removed ${base}.$extension"
+                      fi
+                  fi
+              done
+          }
+
+          remove_files "png"; remove_files "svg"; remove_files "pdf"; remove_files "eps";
+
+          if [ "$(find ./result_images -mindepth 1 -type d)" ]; then
+              find ./result_images/* -type d -empty -delete
+          fi
+
+      - name: Filter C coverage
+        if: ${{ !cancelled() && github.event_name != 'schedule' }}
+        run: |
+          if [[ "${{ runner.os }}" != 'macOS' ]]; then
+            LCOV_IGNORE_ERRORS=','  # do not ignore any lcov errors by default
+            if [[ "${{ matrix.os }}" = ubuntu-24.04 ]]; then
+              # filter mismatch and unused-entity errors detected by lcov 2.x
+              LCOV_IGNORE_ERRORS='mismatch,unused'
+            fi
+            lcov --rc lcov_branch_coverage=1 --ignore-errors $LCOV_IGNORE_ERRORS \
+              --capture --directory . --output-file coverage.info
+            lcov --rc lcov_branch_coverage=1 --ignore-errors $LCOV_IGNORE_ERRORS \
+              --output-file coverage.info --extract coverage.info $PWD/src/'*' $PWD/lib/'*'
+            lcov --rc lcov_branch_coverage=1 --ignore-errors $LCOV_IGNORE_ERRORS \
+              --list coverage.info
+            find . -name '*.gc*' -delete
+          else
+            xcrun llvm-profdata merge -sparse default.*.profraw \
+              -o default.profdata
+            xcrun llvm-cov export -format="lcov" build/*/src/*.so \
+              -instr-profile default.profdata > info.lcov
+          fi
+      - name: Upload code coverage
+        if: ${{ !cancelled() && github.event_name != 'schedule' }}
+        uses: codecov/codecov-action@18283e04ce6e62d37312384ff67231eb8fd56d24  # v5.4.3
+        with:
+          name: "${{ matrix.python-version }} ${{ matrix.os }} ${{ matrix.name-suffix }}"
+          token: ${{ secrets.CODECOV_TOKEN }}
+
+      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02  # v4.6.2
+        if: failure()
+        with:
+          name: "${{ matrix.python-version }} ${{ matrix.os }} ${{ matrix.name-suffix }} result images"
+          path: ./result_images
+
+  # Separate dependent job to only upload one issue from the matrix of jobs
+  create-issue:
+    if: ${{ failure() && github.event_name == 'schedule' }}
+    needs: [test]
+    permissions:
+      issues: write
+    runs-on: ubuntu-latest
+    name: "Create issue on failure"
+
+    steps:
+      - name: Create issue on failure
+        uses: imjohnbo/issue-bot@572eed14422c4d6ca37e870f97e7da209422f5bd  # v3.4.4
+        with:
+          title: "[TST] Upcoming dependency test failures"
+          body: |
+            The weekly build with nightly wheels from numpy and pandas
+            has failed. Check the logs for any updates that need to be
+            made in matplotlib.
+            https://github.com/${{github.repository}}/actions/runs/${{github.run_id}}
+
+          pinned: false
+          close-previous: false
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.gitignore b/.gitignore
index b56c466ef4e3..1d30ba69aeaa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,7 +12,9 @@
 *.kdev4
 .project
 .pydevproject
-.swp
+*.swp
+.idea
+.vscode/
 
 # Compiled source #
 ###################
@@ -27,16 +29,22 @@
 
 # Python files #
 ################
-# setup.py working directory
+# meson-python working directory
 build
-# sphinx build directory
-doc/_build
-# setup.py dist directory
+.mesonpy*
+
+# meson-python/build frontend dist directory
 dist
 # Egg metadata
 *.egg-info
+.eggs
+# wheel metadata
+pip-wheel-metadata/*
 # tox testing tool
 .tox
+# build subproject files
+subprojects/*/
+!subprojects/packagefiles/
 
 # OS generated files #
 ######################
@@ -49,21 +57,70 @@ Thumbs.db
 
 # Things specific to this project #
 ###################################
-lib/matplotlib/mpl-data/matplotlib.conf
-lib/matplotlib/mpl-data/matplotlibrc
+galleries/tutorials/intermediate/CL01.png
+galleries/tutorials/intermediate/CL02.png
 
 # Documentation generated files #
 #################################
+# sphinx build directory
+doc/_build
+doc/api/_as_gen
+# autogenerated by sphinx-gallery
 doc/examples
-doc/_templates/gallery.html
-doc/users/installing.rst
-doc/_static/matplotlibrc
+doc/gallery
+doc/modules
+doc/plot_types
 doc/pyplots/tex_demo.png
+doc/tutorials
+doc/users/explain
 lib/dateutil
-examples/*/*.pdf
-examples/*/*.png
-examples/tests/*
-!examples/tests/backend_driver.py
-texput.log
-texput.aux
+galleries/examples/*/*.bmp
+galleries/examples/*/*.eps
+galleries/examples/*/*.pdf
+galleries/examples/*/*.png
+galleries/examples/*/*.svg
+galleries/examples/*/*.svgz
 result_images
+doc/_static/constrained_layout*.png
+doc/.mpl_skip_subdirs.yaml
+doc/_tags
+sg_execution_times.rst
+
+# Nose/Pytest generated files #
+###############################
+.pytest_cache/
+.cache/
+.coverage
+.coverage.*
+*.py,cover
+cover/
+.noseids
+__pycache__
+
+# Conda files #
+###############
+__conda_version__.txt
+lib/png.lib
+lib/z.lib
+
+# Environments #
+################
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Jupyter files #
+#################
+
+.ipynb_checkpoints/
+
+# Vendored dependencies #
+#########################
+lib/matplotlib/backends/web_backend/node_modules/
+lib/matplotlib/backends/web_backend/package-lock.json
+
+LICENSE/LICENSE_QHULL
diff --git a/.mailmap b/.mailmap
index cce8a44e82b9..44005da6e2d8 100644
--- a/.mailmap
+++ b/.mailmap
@@ -1,36 +1,284 @@
-John Hunter <jdh2358@gmail.com> jdh2358 <jdh2358@gmail.com>
-Michael Droettboom <mdboom@gmail.com> Michael Droettboom <mdroe@stsci.edu>
-Jouni K. Seppänen <jks@iki.fi> Jouni K. Seppänen <jks@iki.fi>
+Adam Ortiz <adam.ortiz@utoronto.ca>
+
+Adrien F. Vincent <vincent.adrien@gmail.com>
+Adrien F. Vincent <vincent.adrien@gmail.com> <adrien.vincent@u-psud.fr>
+
+Aleksey Bilogur <aleksey.bilogur@gmail.com>
+
+Alexander Rudy <alex.rudy@gmail.com>
+
+Alon Hershenhorn <hershen@gmail.com>
+
+Alvaro Sanchez <sanchezgnzlz.alvaro@gmail.com>
+
+Andrew Dawson <ajdawson@acm.org> <dawson@atm.ox.ac.uk>
+
+anykraus <kraus@mpip-mainz.mpg.de> <anykraus@users.noreply.github.com>
+
+Ariel Hernán Curiale <curiale@gmail.com>
+
+Ben Cohen <bj.cohen19@gmail.com> <ben@cohen-family.org>
+
 Ben Root <ben.v.root@gmail.com> Benjamin Root <ben.v.root@gmail.com>
-Michiel de Hoon <mjldehoon@yahoo.com> Michiel de Hoon <mdehoon@michiel-de-hoons-computer.local>
-Kevin Davies <kdavies4@gmail.com> Kevin Davies <daviesk24@yahoo.com>
+
+Benedikt Daurer <benedikt.daurer@icm.uu.se>
+
+Benjamin Congdon <bencongdon96@gmail.com>
+Benjamin Congdon <bencongdon96@gmail.com> bcongdon <bcongdo2@illinois.edu>
+
+Bruno Zohreh <z.shams@bath.ac.uk>
+
+Carsten Schelp <carstenschelp@mp.nl>
+
+Casper van der Wel <caspervdw@gmail.com>
+
+Chris Holdgraf <choldgraf@gmail.com>
+
+Cho Yin Yong <choyiny@users.noreply.github.com>
+
+Chris <chrissshe@gmail.com>
+
 Christoph Gohlke <cgohlke@uci.edu> cgohlke <cgohlke@uci.edu>
 Christoph Gohlke <cgohlke@uci.edu> C. Gohlke <cgohlke@uci.edu>
-anykraus <kraus@mpip-mainz.mpg.de> anykraus <anykraus@users.noreply.github.com>
+Christoph Gohlke <cjgohlke@gmail.com>
+
+Cimarron Mittelsteadt <cimarronm@gmail.com> Cimarron <cimarronm@gmail.com>
+
+cldssty <huey910@gmail.com>
+
+Conner R. Phillips <conner.r.phillips@gmail.com> <conner.r.phillips.com>
+
+Dan Hickstein <danhickstein@gmail.com>
+
+Daniel Hyams <dhyams@gmail.com>
 Daniel Hyams <dhyams@gmail.com> Daniel Hyams <dhyams@gitdev.(none)>
-Daniel Hyams <dhyams@gmail.com> dhyams <dhyams@gmail.com>
+
+David Kua <david@kua.io> <david.kua@mail.utoronto.ca>
+
+Devashish Deshpande <ashu.9412@gmail.com>
+
+Dietmar Schwertberger <github@schwertberger.de>
+
+Dora Fraeman Caswell <dorafraeman@gmail.com>
+
+endolith <endolith@gmail.com>
+
+Eric Dill <thedizzle@gmail.com> <edill@bnl.gov>
+
+Erik Bray <erik.m.bray@gmail.com> <embray@stsci.edu>
+
+Eric Ma <ericmajinglong@gmail.com> <ericmjl@Erics-MacBook-Pro.local>
+Eric Ma <ericmajinglong@gmail.com> <ericmjl@users.noreply.github.com>
+
+esvhd <weiliang.zhang@gmail.com>
+
+Filipe Fernandes <ocefpaf@gmail.com>
+
+Florian Le Bourdais <florian.s.lebourdais@gmail.com>
+
 Francesco Montesano <franz.bergesund@gmail.com> montefra <franz.bergesund@gmail.com>
-James R. Evans <jrevans1@earthlink.net> James Evans <jrevans1@earthlink.net>
-Jeffrey Bingham <bingjeff@gmail.com> Jeff Bingham <bingjeff@gmail.com>
-Jens Hedegaard Nielsen <jenshnielsen@gmail.com> Jens H Nielsen <jenshnielsen@gmail.com>
-Jens Hedegaard Nielsen <jenshnielsen@gmail.com> Jens H. Nielsen <jenshnielsen@gmail.com>
-Jens Hedegaard Nielsen <jenshnielsen@gmail.com> Jens H. Nielsen <jens.nielsen@ucl.ac.uk>
-Jens Hedegaard Nielsen <jenshnielsen@gmail.com> Jens Hedegaard Nielsen <jens.nielsen@ucl.ac.uk>
-Julien Schueller <julien.schueller@gmail.com> jschueller <schueller@porsche-l64.phimeca.lan>
-Julien Schueller <julien.schueller@gmail.com> Julien Schueller <schueller@bx-l64.phimeca.lan>
-Julien Schueller <julien.schueller@gmail.com> Julien Schueller <schueller@porsche-l64.phimeca.lan>
-Matthias Bussonnier <bussonniermatthias@gmail.com> Matthias BUSSONNIER <bussonniermatthias@gmail.com>
-Matthias Bussonnier <bussonniermatthias@gmail.com> Bussonnier Matthias <bussonniermatthias@gmail.com>
+
+Gauravjeet <gauravjeet.kala@mail.utoronto.ca>
+
+Hajoon Choi <hajoon.choi@mail.utoronto.ca>
+
+hannah <story645@gmail.com>
+
+Hans Moritz Günther <moritz.guenther@gmx.de>
+
+Harshal Prakash Patankar <pharshalp@gmail.com>
+
+Harshit Patni <patniharshit@gmail.com>
+
+ImportanceOfBeingErnest <elch.rz@ruetz-online.de>
+
+J. Goutin <JGoutin@users.noreply.github.com> JGoutin <ginnungagap@free.fr>
+
+Jack Kelly <jack.kelly@imperial.ac.uk> <daniel.kelly10@imperial.ac.uk>
+Jack Kelly <jack.kelly@imperial.ac.uk> <jack-list@xlk.org.uk>
+
+Jaime Fernandez <jaime.frio@gmail.com>
+
+Jake Vanderplas <jakevdp@gmail.com>
+Jake Vanderplas <jakevdp@gmail.com> <jakevdp@yahoo.com>
+Jake Vanderplas <jakevdp@gmail.com> <vanderplas@astro.washington.edu>
+
+James R. Evans <jrevans1@earthlink.net>
+
+Jeff Lutgen <jlutgen@gmail.com> <jlutgen@users.noreply.github.com>
+
+Jeffrey Bingham <bingjeff@gmail.com>
+
+Jens Hedegaard Nielsen <jenshnielsen@gmail.com>
+Jens Hedegaard Nielsen <jenshnielsen@gmail.com> <jens.nielsen@ucl.ac.uk>
+
+Joel Frederico <458871+joelfrederico@users.noreply.github.com>
+
+John Hunter <jdh2358@gmail.com>
+
+Jorrit Wronski <jowr@mek.dtu.dk>
+
+Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Mad Physicist <madphysicist@users.noreply.github.com>
+Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Joseph Fox-Rabinovitz <joseph.r.fox-rabinovitz@nasa.gov>
+
+Jouni K. Seppänen <jks@iki.fi>
+
+Julien Lhermitte <ordirules@gmail.com>
+
+Julien Schueller <julien.schueller@gmail.com> <schueller@porsche-l64.phimeca.lan>
+Julien Schueller <julien.schueller@gmail.com> <schueller@bx-l64.phimeca.lan>
+
+Kevin Davies <kdavies4@gmail.com> <daviesk24@yahoo.com>
+
+kikocorreoso <kikocorreoso@gmail.com> <kikocorreoso@users.noreply.github.com>
+
+Klara Gerlei <klarizsofi@gmail.com>
+Klara Gerlei <klarizsofi@gmail.com> klaragerlei <s1466507@sms.ed.ac.uk>
+
+Kristen M. Thyng <kthyng@gmail.com>
+
+Kyle Sunden <sunden@wisc.edu>
+
+Leeonadoh <leo.sunpeng.li@gmail.com>
+
+Lennart Fricke <lennart@die-frickes.eu> <lennart.fricke@kabelmail.de>
+
+Levi Kilcher <levi.kilcher@nrel.gov>
+
+Leon Yin <hello.leonyin@gmail.com>
+
+Lion Krischer <lion.krischer@gmail.com> <krischer@geophysik.uni-muenchen.de>
+
+Manan Kevadiya <kevadiyamanan@gmail.com>
+Manan Kevadiya <kevadiyamanan@gmail.com> <43081866+manan2501@users.noreply.github.com>
+
+Manuel Nuno Melo <manuel.nuno.melo@gmail.com>
+
+Marco Gorelli <m.e.gorelli@gmail.com>
+Marco Gorelli <m.e.gorelli@gmail.com> <33491632+MarcoGorelli@users.noreply.github.com>
+
+Marek Rudnicki <marekrud@gmail.com>
+
+Martin Fitzpatrick <martin.fitzpatrick@gmail.com> <mfitzp@abl.es>
+
+Matt Newville <newville@cars.uchicago.edu>
+
+Matthew Emmett <memmett@gmail.com>
+Matthew Emmett <memmett@gmail.com> <memmett@unc.edu>
+
+Matthias Bussonnier <bussonniermatthias@gmail.com>
+Matthias Bussonnier <bussonniermatthias@gmail.com> <mbussonnier@ucmerced.edu>
+
+Matthias Lüthi <maluethi@protonmail.ch>
+Matthias Lüthi <maluethi@protonmail.ch> <matthias.luethi@lhep.unibe.ch>
+
+Matti Picus <matti.picus@gmail.com>
+
+Michael Droettboom <mdboom@gmail.com> <mdroe@stsci.edu>
+Michael Droettboom <mdboom@gmail.com> Michael Droettboom <mdboom@debian-vm>
+
+Michiel de Hoon <mjldehoon@yahoo.com>
+Michiel de Hoon <mjldehoon@yahoo.com> Michiel de Hoon <mdehoon@mad002s-MacBook-Air.local>
+Michiel de Hoon <mjldehoon@yahoo.com> Michiel de Hoon <mdehoon@michiel-de-hoons-computer.local>
+Michiel de Hoon <mjldehoon@yahoo.com> Michiel de Hoon <mdehoon@Michiels-MacBook-Pro.local>
+Michiel de Hoon <mjldehoon@yahoo.com> Michiel de Hoon <mdehoon@tkx294.genome.gsc.riken.jp>
+
+MinRK <benjaminrk@gmail.com>
 MinRK <benjaminrk@gmail.com> Min RK <minrk@kerbin.local>
-Nelle Varoquaux <nelle.varoquaux@gmail.com> Varoquaux <nelle.varoquaux@gmail.com>
-Nicolas P. Rougier <Nicolas.Rougier@inria.fr> Nicolas Rougier <Nicolas.Rougier@inria.fr>
-Per Parker <wisalam@live.com> Per <wisalam@live.com>
-Per Parker <wisalam@live.com> solvents <wisalam@live.com>
-Peter Würtz <pwuertz@gmail.com> pwuertz <pwuertz@gmail.com>
-Peter Würtz <pwuertz@gmail.com> pwuertz <pwuertz@googlemail.com>
-Peter Würtz <pwuertz@gmail.com> Peter Würtz <pwuertz@googlemail.com>
-Phil Elson <pelson.pub@gmail.com> Phil Elson <philipelson@gmail.com>
-Phil Elson <pelson.pub@gmail.com> Phil Elson <philipelson@hotmail.com>
-Phil Elson <pelson.pub@gmail.com> pelson <philipelson@hotmail.com>
-Phil Elson <pelson.pub@gmail.com> pelson <pelson.pub@gmail.com>
-Scott Lasley <selasley@me.com> selasley <selasley@me.com>
+
+Nelle Varoquaux <nelle.varoquaux@gmail.com>
+
+Nic Eggert <nic.eggert@gmail.com> Nic Eggert <nic@eggert.pw>
+Nic Eggert <nic.eggert@gmail.com> Nic Eggert <nse23@cornell.edu>
+
+Nicolas P. Rougier <Nicolas.Rougier@inria.fr>
+
+OceanWolf <juichenieder-tigger@yahoo.co.uk>
+
+Olivier Castany <1868182+ocastany@users.noreply.github.com>
+Olivier Castany <1868182+ocastany@users.noreply.github.com> <Olivier@home>
+Olivier Castany <1868182+ocastany@users.noreply.github.com> <castany@clevo>
+
+Om Sitapara <omsitapara23@gmail.com>
+
+Patrick Chen <pat.chen@mail.utoronto.ca>
+
+Paul Ganssle <p.ganssle@gmail.com>
+Paul Ganssle <pg@example.com>
+
+Paul Hobson <pmhobson@gmail.com>
+Paul Hobson <pmhobson@gmail.com> vagrant <vagrant@precise32.(none)>
+
+Paul Ivanov <pivanov314@gmail.com>
+Paul Ivanov <pivanov314@gmail.com> <pi@berkeley.edu>
+Paul Ivanov <pivanov314@gmail.com> <pivanov5@bloomberg.net>
+
+Per Parker <wisalam@live.com>
+
+Peter Würtz <pwuertz@gmail.com>
+Peter Würtz <pwuertz@gmail.com> <pwuertz@googlemail.com>
+
+Phil Elson <pelson.pub@gmail.com>
+Phil Elson <pelson.pub@gmail.com> <philipelson@hotmail.com>
+Phil Elson <pelson.pub@gmail.com> <philipelson@gmail.com>
+
+productivememberofsociety666 <productivememberofsociety666@sol.fr.am> none <none@example.net>
+
+Rishikesh <rishikksh20@gmail.com>
+
+RyanPan <ryanbelt1993129@hotmail.com>
+
+Samesh Lakhotia <samesh.lakhotia@gmail.com>
+Samesh Lakhotia <43701530+sameshl@users.noreply.github.com> <samesh.lakhotia@gmail.com>'
+
+Scott Lasley <selasley@me.com>
+
+Sebastian Raschka <mail@sebastianraschka.com>
+Sebastian Raschka <mail@sebastianraschka.com> <se.raschka@me.com>
+
+Sidharth Bansal <bansal.sidharth2996@gmail.com>
+Sidharth Bansal <20972099+SidharthBansal@users.noreply.github.com> <bansal.sidharth2996@gmail.com>
+
+Simon Cross <hodgestar+github@gmail.com> <hodgestar@gmail.com>
+
+Slav Basharov <slavbacharov@gmail.com>
+
+sohero <herosgq@gmail.com> sohero <ivip@tom.com>
+
+Stefan van der Walt <stefanv@berkeley.edu> <stefan@sun.ac.za>
+
+switham <github@mac-guyver.com> switham <switham_github@mac-guyver.com>
+
+Taehoon Lee <taehoonlee@snu.ac.kr>
+
+Ted Drain <ted.drain@gmail.com>
+
+Taras Kuzyo <kuzyo.taras@gmail.com>
+
+Terence Honles <terence@honles.com>
+
+Thomas A Caswell <tcaswell@gmail.com> Thomas A Caswell <tcaswell@bnl.gov>
+Thomas A Caswell <tcaswell@gmail.com> Thomas A Caswell <tcaswell@uchicago.edu>
+Thomas A Caswell <tcaswell@gmail.com> Thomas A Caswell <“tcaswell@gmail.com�>
+Thomas A Caswell <tcaswell@gmail.com> Thomas A Caswell <tcaswell@localhost.localdomain>
+
+Till Stensitzki <mail.till@gmx.de>
+
+Trish Gillett-Kawamoto <trish.gillett@shopify.com> <discardthree@gmail.com>
+
+Tuan Dung Tran <tuan.d.tran@hotmail.com>
+
+Víctor Zabalza <vzabalza@gmail.com>
+
+Vidur Satija <vidursatija@gmail.com>
+
+WANG Aiyong <gepcelway@gmail.com>
+
+Zhili (Jerry) Pan <sasori.pan.jerry@gmail.com>
+
+Werner F Bruhin <wernerfbd@gmx.ch>
+
+Yunfei Yang <yangyunf@iits-b473-20053.(none)> Yunfei Yang <yangyunf@iits-b473-20057.(none)>
+Yunfei Yang <yangyunf@iits-b473-20053.(none)> Yunfei Yang <yangyunf@iits-b473-20061.(none)>
+
+Zac Hatfield-Dodds <zac.hatfield.dodds@gmail.com>
diff --git a/.matplotlib-repo b/.matplotlib-repo
new file mode 100644
index 000000000000..0b1d699bcdb1
--- /dev/null
+++ b/.matplotlib-repo
@@ -0,0 +1,3 @@
+The existence of this file signals that the code is a matplotlib source repo
+and not an installed version. We use this in __init__.py for gating version
+detection.
diff --git a/.meeseeksdev.yml b/.meeseeksdev.yml
new file mode 100644
index 000000000000..f9d44d44cfdf
--- /dev/null
+++ b/.meeseeksdev.yml
@@ -0,0 +1,5 @@
+---
+users:
+  Carreau:
+    can:
+      - backport
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 000000000000..86a9a0f45440
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,121 @@
+---
+ci:
+  autofix_prs: false
+  autoupdate_schedule: 'quarterly'
+exclude: |
+  (?x)^(
+    extern|
+    LICENSE|
+    lib/matplotlib/mpl-data|
+    doc/devel/gitwash|
+    doc/users/prev|
+    doc/api/prev|
+    lib/matplotlib/tests/data/tinypages
+    )
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v5.0.0
+    hooks:
+      - id: check-added-large-files
+      - id: check-docstring-first
+        exclude: lib/matplotlib/typing.py  # docstring used for attribute flagged by check
+      - id: end-of-file-fixer
+        exclude_types: [svg]
+      - id: mixed-line-ending
+      - id: name-tests-test
+        args: ["--pytest-test-first"]
+      - id: no-commit-to-branch  # Default is master and main.
+      - id: trailing-whitespace
+        exclude_types: [svg]
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.15.0
+    hooks:
+      - id: mypy
+        additional_dependencies:
+          - pandas-stubs
+          - types-pillow
+          - types-python-dateutil
+          - types-psutil
+          - types-docutils
+          - types-PyYAML
+        args: ["--config-file=pyproject.toml", "lib/matplotlib"]
+        files: lib/matplotlib  # Only run when files in lib/matplotlib are changed.
+        pass_filenames: false
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.11.5
+    hooks:
+      # Run the linter.
+      - id: ruff
+        args: [--fix, --show-fixes]
+  - repo: https://github.com/codespell-project/codespell
+    rev: v2.4.1
+    hooks:
+      - id: codespell
+        files: ^.*\.(py|c|cpp|h|m|md|rst|yml)$
+        args:
+          - "--ignore-words"
+          - "ci/codespell-ignore-words.txt"
+          - "--skip"
+          - "doc/project/credits.rst"
+  - repo: https://github.com/pycqa/isort
+    rev: 6.0.1
+    hooks:
+      - id: isort
+        name: isort (python)
+        files: ^galleries/tutorials/|^galleries/examples/|^galleries/plot_types/
+  - repo: https://github.com/rstcheck/rstcheck
+    rev: v6.2.4
+    hooks:
+      - id: rstcheck
+        additional_dependencies:
+          - sphinx>=1.8.1
+          - tomli
+  - repo: https://github.com/adrienverge/yamllint
+    rev: v1.37.0
+    hooks:
+      - id: yamllint
+        args: ["--strict", "--config-file=.yamllint.yml"]
+  - repo: https://github.com/python-jsonschema/check-jsonschema
+    rev: 0.33.0
+    hooks:
+      # TODO: Re-enable this when https://github.com/microsoft/azure-pipelines-vscode/issues/567 is fixed.
+      # - id: check-azure-pipelines
+      - id: check-dependabot
+      - id: check-github-workflows
+      # NOTE: If any of the below schema files need to be changed, be sure to
+      # update the `ci/vendor_schemas.py` script.
+      - id: check-jsonschema
+        name: "Validate AppVeyor config"
+        files: ^\.appveyor\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/appveyor.json"]
+      - id: check-jsonschema
+        name: "Validate CircleCI config"
+        files: ^\.circleci/config\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/circleciconfig.json"]
+      - id: check-jsonschema
+        name: "Validate GitHub funding file"
+        files: ^\.github/FUNDING\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/github-funding.json"]
+      - id: check-jsonschema
+        name: "Validate GitHub issue config"
+        files: ^\.github/ISSUE_TEMPLATE/config\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/github-issue-config.json"]
+      - id: check-jsonschema
+        name: "Validate GitHub issue templates"
+        files: ^\.github/ISSUE_TEMPLATE/.*\.yml$
+        exclude: ^\.github/ISSUE_TEMPLATE/config\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/github-issue-forms.json"]
+      - id: check-jsonschema
+        name: "Validate CodeCov config"
+        files: ^\.github/codecov\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/codecov.json"]
+      - id: check-jsonschema
+        name: "Validate GitHub labeler config"
+        files: ^\.github/labeler\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/pull-request-labeler-5.json"]
+      - id: check-jsonschema
+        name: "Validate Conda environment file"
+        files: ^environment\.yml$
+        args: ["--verbose", "--schemafile", "ci/schemas/conda-environment.json"]
diff --git a/.travis.yml b/.travis.yml
deleted file mode 100644
index 73a7997caebd..000000000000
--- a/.travis.yml
+++ /dev/null
@@ -1,55 +0,0 @@
-env:
-  global:
-    - ARTIFACTS_AWS_REGION=us-east-1
-    - ARTIFACTS_S3_BUCKET=matplotlib-test-results
-    - secure: RgJI7BBL8aX5FTOQe7xiXqWHMxWokd6GNUWp1NUV2mRLXPb9dI0RXqZt3UJwKTAzf1z/OtlHDmEkBoTVK81E9iUxK5npwyyjhJ8yTJmwfQtQF2n51Q1Ww9p+XSLORrOzZc7kAo6Kw6FIXN1pfctgYq2bQkrwJPRx/oPR8f6hcbY=
-    - secure: E7OCdqhZ+PlwJcn+Hd6ns9TDJgEUXiUNEI0wu7xjxB2vBRRIKtZMbuaZjd+iKDqCKuVOJKu0ClBUYxmgmpLicTwi34CfTUYt6D4uhrU+8hBBOn1iiK51cl/aBvlUUrqaRLVhukNEBGZcyqAjXSA/Qsnp2iELEmAfOUa92ZYo1sk=
-    - BUILD_DOCS=false
-    - TEST_ARGS=--no-pep8
-    - NUMPY=numpy
-
-language: python
-
-matrix:
-  include:
-    - python: 2.6
-      env: NUMPY=numpy==1.6
-    - python: 2.7
-    - python: 3.3
-    - python: 3.4
-    - python: 2.7
-      env: TEST_ARGS=--pep8
-    - python: 2.7
-      env: BUILD_DOCS=true
-
-install:
-  - pip install -q --use-mirrors nose python-dateutil $NUMPY pep8 pyparsing pillow
-  - sudo apt-get update && sudo apt-get -qq install inkscape libav-tools gdb
-  # We use --no-install-recommends to avoid pulling in additional large latex docs that we don't need
-  - if [[ $BUILD_DOCS == true ]]; then sudo apt-get install -qq --no-install-recommends dvipng texlive-latex-base texlive-latex-extra texlive-fonts-recommended graphviz; fi
-  - if [[ $BUILD_DOCS == true ]]; then pip install sphinx numpydoc linkchecker; fi
-  - python setup.py install
-
-script:
-  # The number of processes is hardcoded, because using too many causes the
-  # Travis VM to run out of memory (since so many copies of inkscape and
-  # ghostscript are running at the same time).
-  - echo Testing using 8 processes
-  # Generate the font caches in a single process before starting the
-  # multiple processes
-  - gcc --version
-  - python -c "from matplotlib import font_manager"
-  - if [[ $BUILD_DOCS == false ]]; then export MPL_REPO_DIR=$PWD; fi # pep8-conformance test of the examples
-  - if [[ $BUILD_DOCS == false ]]; then mkdir ../tmp_test_dir; fi
-  - if [[ $BUILD_DOCS == false ]]; then cd ../tmp_test_dir; fi
-  - if [[ $BUILD_DOCS == false ]]; then gdb -return-child-result -batch -ex r -ex bt --args python ../matplotlib/tests.py -sv --processes=8 --process-timeout=300 $TEST_ARGS; fi
-  - if [[ $BUILD_DOCS == true ]]; then cd doc; python make.py html --small --warningsaserrors; fi
-  # We don't build the LaTeX docs here, so linkchecker will complain
-  - if [[ $BUILD_DOCS == true ]]; then touch build/html/Matplotlib.pdf; fi
-  - if [[ $BUILD_DOCS == true ]]; then linkchecker build/html/index.html; fi
-
-after_failure:
-  - tar cjf result_images.tar.bz2 result_images
-  - if [[ $TRAVIS_PULL_REQUEST == false ]]; then gem install travis-artifacts; fi
-  - if [[ $TRAVIS_PULL_REQUEST == false ]]; then travis-artifacts upload --path result_images.tar.bz2; fi
-  - if [[ $TRAVIS_PULL_REQUEST != false ]]; then echo "The result images will only be uploaded if they are on the matplotlib/matplotlib repo - this is for security reasons to prevent arbitrary PRs echoing security details." else echo https://s3.amazonaws.com/matplotlib-test-results/artifacts/${TRAVIS_BUILD_NUMBER}/${TRAVIS_JOB_NUMBER}/result_images.tar.bz2; fi
diff --git a/.yamllint.yml b/.yamllint.yml
new file mode 100644
index 000000000000..2be81b28c7fb
--- /dev/null
+++ b/.yamllint.yml
@@ -0,0 +1,9 @@
+---
+extends: default
+
+rules:
+  line-length:
+    max: 120
+    allow-non-breakable-words: true
+  truthy:
+    check-keys: false
diff --git a/CHANGELOG b/CHANGELOG
deleted file mode 100644
index 4a1b1e45079d..000000000000
--- a/CHANGELOG
+++ /dev/null
@@ -1,5374 +0,0 @@
-2014-09-27 Overhauled `colors.LightSource`.  Added `LightSource.hillshade` to
-	   allow the independent generation of illumination maps. Added new
-	   types of blending for creating more visually appealing shaded relief
-	   plots (e.g.  `blend_mode="overlay"`, etc, in addition to the legacy
-	   "hsv" mode).
-
-2014-06-10 Added Colorbar.remove()
-
-2014-06-07 Fixed bug so radial plots can be saved as ps in py3k.
-
-2014-06-01 Changed the fmt kwarg of errorbar to support the
-           the mpl convention that "none" means "don't draw it",
-           and to default to the empty string, so that plotting
-           of data points is done with the plot() function
-           defaults.  Deprecated use of the None object in place
-           "none".
-
-2014-05-22 Allow the linscale keyword parameter of symlog scale to be
-           smaller than one.
-
-2014-05-20 Added logic to in FontManager to invalidate font-cache if
-           if font-family rcparams have changed.
-
-2014-05-16 Fixed the positioning of multi-line text in the PGF backend.
-
-2014-05-14 Added Axes.add_image() as the standard way to add AxesImage
-           instances to Axes. This improves the consistency with
-           add_artist(), add_collection(), add_container(), add_line(),
-           add_patch(), and add_table().
-
-2014-05-02 Added colorblind-friendly colormap, named 'Wistia'.
-
-2014-04-27 Improved input clean up in Axes.{h|v}lines
-           Coerce input into a 1D ndarrays (after dealing with units).
-
-2014-04-27 removed un-needed cast to float in stem
-
-2014-04-23 Updated references to "ipython -pylab"
-           The preferred method for invoking pylab is now using the
-           "%pylab" magic.
-           -Chris G.
-
-2014-04-22 Added (re-)generate a simple automatic legend to "Figure Options"
-           dialog of the Qt4Agg backend.
-
-2014-04-22 Added an example showing the difference between
-           interpolation = 'none' and interpolation = 'nearest' in
-           `imshow()` when saving vector graphics files.
-
-2014-04-22 Added violin plotting functions. See `Axes.violinplot`,
-           `Axes.violin`, `cbook.violin_stats` and `mlab.GaussianKDE` for
-           details.
-
-2014-04-10 Fixed the triangular marker rendering error. The "Up" triangle was
-           rendered instead of "Right" triangle and vice-versa.
-
-2014-04-08 Fixed a bug in parasite_axes.py by making a list out
-           of a generator at line 263.
-
-2014-04-02 Added `clipon=False` to patch creation of wedges and shadows
-	   in `pie`.
-
-2014-02-25 In backend_qt4agg changed from using update -> repaint under
-           windows.  See comment in source near `self._priv_update` for
-           longer explaination.
-
-2014-03-27 Added tests for pie ccw parameter. Removed pdf and svg images
-           from tests for pie linewidth parameter.
-
-2014-03-24 Changed the behaviour of axes to not ignore leading or trailing
-           patches of height 0 (or width 0) while calculating the x and y
-           axis limits. Patches having both height == 0 and width == 0 are
-           ignored.
-
-2014-03-24 Added bool kwarg (manage_xticks) to boxplot to enable/disable
-           the managemnet of the xlimits and ticks when making a boxplot.
-           Default in True which maintains current behavior by default.
-
-2014-03-23 Fixed a bug in projections/polar.py by making sure that the theta
-           value being calculated when given the mouse coordinates stays within
-           the range of 0 and 2 * pi.
-
-2014-03-22 Added the keyword arguments wedgeprops and textprops to pie.
-           Users can control the wedge and text properties of the pie
-           in more detail, if they choose.
-
-2014-03-17 Bug was fixed in append_axes from the AxesDivider class would not
-           append axes in the right location with respect to the reference
-           locator axes
-
-2014-03-13 Add parameter 'clockwise' to function pie, True by default.
-
-2014-02-28 Added 'origin' kwarg to `spy`
-
-2014-02-27 Implemented separate horizontal/vertical axes padding to the
-           ImageGrid in the AxesGrid toolkit
-
-2014-02-27 Allowed markevery property of matplotlib.lines.Line2D to be, an int
-           numpy fancy index, slice object, or float.  The float behaviour
-           turns on markers at approximately equal display-coordinate-distances
-           along the line.
-
-2014-02-25 In backend_qt4agg changed from using update -> repaint under
-           windows.  See comment in source near `self._priv_update` for
-           longer explaination.
-
-2014-01-02 `triplot` now returns the artist it adds and support of line and
-           marker kwargs has been improved. GBY
-
-2013-12-30 Made streamplot grid size consistent for different types of density
-           argument. A 30x30 grid is now used for both density=1 and
-           density=(1, 1).
-
-2013-12-03 Added a pure boxplot-drawing method that allow a more complete
-           customization of boxplots. It takes a list of dicts contains stats.
-           Also created a function (`cbook.boxplot_stats`) that generates the
-           stats needed.
-
-2013-11-28 Added qhull extension module to perform Delaunay triangulation more
-           robustly than before.  It is used by tri.Triangulation (and hence
-           all pyplot.tri* methods) and mlab.griddata.  Deprecated
-           matplotlib.delaunay module. - IMT
-
-2013-11-05 Add power-law normalization method. This is useful for,
-           e.g., showing small populations in a "hist2d" histogram.
-
-2013-10-27 Added get_rlabel_position and set_rlabel_position methods to
-           PolarAxes to control angular position of radial tick labels.
-
-2013-10-06 Add stride-based functions to mlab for easy creation of 2D arrays
-           with less memory.
-
-2013-10-06 Improve window and detrend functions in mlab, particulart support for
-           2D arrays.
-
-2013-10-06 Improve performance of all spectrum-related mlab functions and plots.
-
-2013-10-06 Added support for magnitude, phase, and angle spectrums to
-           axes.specgram, and support for magnitude, phase, angle, and complex
-           spectrums to mlab-specgram.
-
-2013-10-06 Added magnitude_spectrum, angle_spectrum, and phase_spectrum plots,
-           as well as magnitude_spectrum, angle_spectrum, phase_spectrum,
-           and complex_spectrum functions to mlab
-
-2013-07-12 Added support for datetime axes to 2d plots. Axis values are passed
-           through Axes.convert_xunits/Axes.convert_yunits before being used by
-           contour/contourf, pcolormesh and pcolor.
-
-2013-07-12 Allowed matplotlib.dates.date2num, matplotlib.dates.num2date,
-           and matplotlib.dates.datestr2num to accept n-d inputs. Also
-           factored in support for n-d arrays to matplotlib.dates.DateConverter
-           and matplotlib.units.Registry.
-
-2013-06-26 Refactored the axes module: the axes module is now a folder,
-           containing the following submodule:
-              - _subplots.py, containing all the subplots helper methods
-              - _base.py, containing several private methods and a new
-                _AxesBase class. This _AxesBase class contains all the methods
-                that are not directly linked to plots of the "old" Axes
-              - _axes.py contains the Axes class. This class now inherits from
-                _AxesBase: it contains all "plotting" methods and labelling
-                methods.
-           This refactoring should not affect the API. Only private methods
-           are not importable from the axes module anymore.
-
-2013-05-18 Added support for arbitrary rasterization resolutions to the
-           SVG backend. Previously the resolution was hard coded to 72
-           dpi. Now the backend class takes a image_dpi argument for
-           its constructor, adjusts the image bounding box accordingly
-           and forwards a magnification factor to the image renderer.
-           The code and results now resemble those of the PDF backend.
-           - MW
-
-2013-05-08 Changed behavior of hist when given stacked=True and normed=True.
-           Histograms are now stacked first, then the sum is normalized.
-           Previously, each histogram was normalized, then they were stacked.
-
-2013-04-25 Changed all instances of:
-
-           from matplotlib import MatplotlibDeprecationWarning as mplDeprecation
-           to:
-
-           from cbook import mplDeprecation
-
-           and removed the import into the matplotlib namespace in __init__.py
-           Thomas Caswell
-
-2013-04-15 Added 'axes.xmargin' and 'axes.ymargin' to rpParams to set default
-           margins on auto-scaleing. - TAC
-
-2013-04-16 Added patheffect support for Line2D objects.  -JJL
-
-2013-03-31 Added support for arbitrary unstructured user-specified
-           triangulations to Axes3D.tricontour[f] - Damon McDougall
-
-2013-03-19 Added support for passing `linestyle` kwarg to `step` so all `plot`
-           kwargs are passed to the underlying `plot` call.  -TAC
-
-2013-02-25 Added classes CubicTriInterpolator, UniformTriRefiner, TriAnalyzer
-           to matplotlib.tri module. - GBy
-
-2013-01-23 Add 'savefig.directory' to rcParams to remember and fill in the last
-           directory saved to for figure save dialogs - Martin Spacek
-
-2013-01-13 Add eventplot method to axes and pyplot and EventCollection class
-           to collections.
-
-2013-01-08 Added two extra titles to axes which are flush with the left and
-           right edges of the plot respectively.
-           Andrew Dawson
-
-2013-01-07 Add framealpha keyword argument to legend - PO
-
-2013-01-16 Till Stensitzki added a baseline feature to stackplot
-
-2012-12-22 Added classes for interpolation within triangular grids
-           (LinearTriInterpolator) and to find the triangles in which points
-           lie (TrapezoidMapTriFinder) to matplotlib.tri module. - IMT
-
-2012-12-05 Added MatplotlibDeprecationWarning class for signaling deprecation.
-           Matplotlib developers can use this class as follows:
-
-           from matplotlib import MatplotlibDeprecationWarning as mplDeprecation
-
-           In light of the fact that Python builtin DeprecationWarnings are
-           ignored by default as of Python 2.7, this class was put in to allow
-           for the signaling of deprecation, but via UserWarnings which are
-           not ignored by default. - PI
-
-2012-11-27 Added the *mtext* parameter for supplying matplotlib.text.Text
-           instances to RendererBase.draw_tex and RendererBase.draw_text.
-           This allows backends to utilize additional text attributes, like
-           the alignment of text elements. - pwuertz
-
-2012-11-26 deprecate matplotlib/mpl.py, which was used only in pylab.py and is
-           now replaced by the more suitable `import matplotlib as mpl`. - PI
-
-2012-11-25 Make rc_context available via pyplot interface - PI
-
-2012-11-16 plt.set_cmap no longer throws errors if there is not already
-           an active colorable artist, such as an image, and just sets
-           up the colormap to use from that point forward. - PI
-
-2012-11-16 Added the funcction _get_rbga_face, which is identical to
-           _get_rbg_face except it return a (r,g,b,a) tuble, to line2D.
-           Modified Line2D.draw to use _get_rbga_face to get the markerface
-           color so that any alpha set by  markerfacecolor will respected.
-           - Thomas Caswell
-
-2012-11-13 Add a symmetric log normalization class to colors.py.
-           Also added some tests for the normalization class.
-           Till Stensitzki
-
-2012-11-12 Make axes.stem take at least one argument.
-           Uses a default range(n) when the first arg not provided.
-           Damon McDougall
-
-2012-11-09 Make plt.subplot() without arguments act as subplot(111) - PI
-
-2012-11-08 Replaced plt.figure and plt.subplot calls by the newer, more
-           convenient single call to plt.subplots() in the documentation
-           examples - PI
-
-2012-10-05 Add support for saving animations as animated GIFs. - JVDP
-
-2012-08-11 Fix path-closing bug in patches.Polygon, so that regardless
-           of whether the path is the initial one or was subsequently
-           set by set_xy(), get_xy() will return a closed path if and
-           only if get_closed() is True.  Thanks to Jacob Vanderplas. - EF
-
-2012-08-05 When a norm is passed to contourf, either or both of the
-           vmin, vmax attributes of that norm are now respected.
-           Formerly they were respected only if both were
-           specified. In addition, vmin and/or vmax can now
-           be passed to contourf directly as kwargs. - EF
-
-2012-07-24 Contourf handles the extend kwarg by mapping the extended
-           ranges outside the normed 0-1 range so that they are
-           handled by colormap colors determined by the set_under
-           and set_over methods.  Previously the extended ranges
-           were mapped to 0 or 1 so that the "under" and "over"
-           colormap colors were ignored. This change also increases
-           slightly the color contrast for a given set of contour
-           levels. - EF
-
-2012-06-24 Make use of mathtext in tick labels configurable - DSD
-
-2012-06-05 Images loaded through PIL are now ordered correctly - CG
-
-2012-06-02 Add new Axes method and pyplot function, hist2d. - PO
-
-2012-05-31 Remove support for 'cairo.<format>' style of backend specification.
-           Deprecate 'cairo.format' and 'savefig.extension' rcParams and
-           replace with 'savefig.format'. - Martin Spacek
-
-2012-05-29 pcolormesh now obeys the passed in "edgecolor" kwarg.
-           To support this, the "shading" argument to pcolormesh now only
-           takes "flat" or "gouraud".  To achieve the old "faceted" behavior,
-           pass "edgecolors='k'". - MGD
-
-2012-05-22 Added radius kwarg to pie charts. - HH
-
-2012-05-22 Collections now have a setting "offset_position" to select whether
-           the offsets are given in "screen" coordinates (default,
-           following the old behavior) or "data" coordinates.  This is currently
-           used internally to improve the performance of hexbin.
-
-           As a result, the "draw_path_collection" backend methods have grown
-           a new argument "offset_position". - MGD
-
-2012-05-04 Add a new argument to pie charts - startingangle - that
-           allows one to specify the angle offset for the first wedge
-           of the chart. - EP
-
-2012-05-03 symlog scale now obeys the logarithmic base.  Previously, it was
-           completely ignored and always treated as base e. - MGD
-
-2012-05-03 Allow linscalex/y keyword to symlog scale that allows the size of
-           the linear portion relative to the logarithmic portion to be
-           adjusted. - MGD
-
-2012-04-14 Added new plot style: stackplot. This new feature supports stacked
-           area plots. - Damon McDougall
-
-2012-04-06 When path clipping changes a LINETO to a MOVETO, it also
-           changes any CLOSEPOLY command to a LINETO to the initial
-           point. This fixes a problem with pdf and svg where the
-           CLOSEPOLY would then draw a line to the latest MOVETO
-           position instead of the intended initial position. - JKS
-
-2012-03-27 Add support to ImageGrid for placing colorbars only at
-           one edge of each column/row. - RMM
-
-2012-03-07 Refactor movie writing into useful classes that make use
-           of pipes to write image data to ffmpeg or mencoder. Also
-           improve settings for these and the ability to pass custom
-           options. - RMM
-
-2012-02-29 errorevery keyword added to errorbar to enable errorbar
-           subsampling. fixes issue #600.
-
-2012-02-28 Added plot_trisurf to the mplot3d toolkit. This supports plotting
-           three dimensional surfaces on an irregular grid. - Damon McDougall
-
-2012-01-23 The radius labels in polar plots no longer use a fixed
-           padding, but use a different alignment depending on the
-           quadrant they are in.  This fixes numerical problems when
-           (rmax - rmin) gets too small. - MGD
-
-2012-01-08 Add axes.streamplot to plot streamlines of a velocity field.
-                   Adapted from Tom Flannaghan streamplot implementation. -TSY
-
-2011-12-29 ps and pdf markers are now stroked only if the line width
-           is nonzero for consistency with agg, fixes issue #621. - JKS
-
-2011-12-27 Work around an EINTR bug in some versions of subprocess. - JKS
-
-2011-10-25 added support for \operatorname to mathtext,
-           including the ability to insert spaces, such as
-           $\operatorname{arg\,max}$ - PI
-
-2011-08-18 Change api of Axes.get_tightbbox and add an optional
-           keyword parameter *call_axes_locator*. - JJL
-
-2011-07-29 A new rcParam "axes.formatter.use_locale" was added, that,
-           when True, will use the current locale to format tick
-           labels.  This means that, for example, in the fr_FR locale,
-           ',' will be used as a decimal separator.  - MGD
-
-2011-07-15 The set of markers available in the plot() and scatter()
-           commands has been unified.  In general, this gives more
-           options to both than were previously available, however,
-           there is one backward-incompatible change to the markers in
-           scatter:
-
-              "d" used to mean "diamond", it now means "narrow
-              diamond".  "D" can be used for a "diamond".
-
-           -MGD
-
-2011-07-13 Fix numerical problems in symlog scale, particularly when
-           linthresh <= 1.0.  Symlog plots may look different if one
-           was depending on the old broken behavior - MGD
-
-2011-07-10 Fixed argument handling error in tripcolor/triplot/tricontour,
-           issue #203. - IMT
-
-2011-07-08 Many functions added to mplot3d.axes3d to bring Axes3D
-           objects more feature-parity with regular Axes objects.
-           Significant revisions to the documentation as well.
-           - BVR
-
-2011-07-07 Added compatibility with IPython strategy for picking
-           a version of Qt4 support, and an rcParam for making
-           the choice explicitly: backend.qt4. - EF
-
-2011-07-07 Modified AutoMinorLocator to improve automatic choice of
-           the number of minor intervals per major interval, and
-           to allow one to specify this number via a kwarg. - EF
-
-2011-06-28 3D versions of scatter, plot, plot_wireframe, plot_surface,
-           bar3d, and some other functions now support empty inputs. - BVR
-
-2011-06-22 Add set_theta_offset, set_theta_direction and
-           set_theta_zero_location to polar axes to control the
-           location of 0 and directionality of theta. - MGD
-
-2011-06-22 Add axes.labelweight parameter to set font weight to axis
-           labels - MGD.
-
-2011-06-20 Add pause function to pyplot. - EF
-
-2011-06-16 Added *bottom* keyword parameter for the stem command.
-           Also, implemented a legend handler for the stem plot.
-           - JJL
-
-2011-06-16 Added legend.frameon rcParams. - Mike Kaufman
-
-2011-05-31 Made backend_qt4 compatible with PySide . - Gerald Storer
-
-2011-04-17 Disable keyboard auto-repeat in qt4 backend by ignoring
-           key events resulting from auto-repeat.  This makes
-           constrained zoom/pan work. - EF
-
-2011-04-14 interpolation="nearest" always interpolate images. A new
-           mode "none" is introduced for no interpolation - JJL
-
-2011-04-03 Fixed broken pick interface to AsteriskCollection objects
-           used by scatter. - EF
-
-2011-04-01 The plot directive Sphinx extension now supports all of the
-           features in the Numpy fork of that extension.  These
-           include doctest formatting, an 'include-source' option, and
-           a number of new configuration options. - MGD
-
-2011-03-29 Wrapped ViewVCCachedServer definition in a factory function.
-           This class now inherits from urllib2.HTTPSHandler in order
-           to fetch data from github, but HTTPSHandler is not defined
-           if python was built without SSL support. - DSD
-
-2011-03-10 Update pytz version to 2011c, thanks to Simon Cross. - JKS
-
-2011-03-06 Add standalone tests.py test runner script. - JKS
-
-2011-03-06 Set edgecolor to 'face' for scatter asterisk-type
-           symbols; this fixes a bug in which these symbols were
-           not responding to the c kwarg.  The symbols have no
-           face area, so only the edgecolor is visible. - EF
-
-2011-02-27 Support libpng version 1.5.x; suggestion by Michael
-           Albert. Changed installation specification to a
-           minimum of libpng version 1.2.  - EF
-
-2011-02-20 clabel accepts a callable as an fmt kwarg; modified
-           patch by Daniel Hyams. - EF
-
-2011-02-18 scatter([], []) is now valid.  Also fixed issues
-           with empty collections - BVR
-
-2011-02-07 Quick workaround for dviread bug #3175113 - JKS
-
-2011-02-05 Add cbook memory monitoring for Windows, using
-           tasklist. - EF
-
-2011-02-05 Speed up Normalize and LogNorm by using in-place
-           operations and by using float32 for float32 inputs
-           and for ints of 2 bytes or shorter; based on
-           patch by Christoph Gohlke. - EF
-
-2011-02-04 Changed imshow to use rgba as uint8 from start to
-           finish, instead of going through an intermediate
-           step as double precision; thanks to Christoph Gohlke. - EF
-
-2011-01-13 Added zdir and offset arguments to contourf3d to
-           bring contourf3d in feature parity with contour3d. - BVR
-
-2011-01-04 Tag 1.0.1 for release at r8896
-
-2011-01-03 Added display of ticker offset to 3d plots. - BVR
-
-2011-01-03 Turn off tick labeling on interior subplots for
-           pyplots.subplots when sharex/sharey is True. - JDH
-
-2010-12-29 Implement axes_divider.HBox and VBox. -JJL
-
-
-2010-11-22 Fixed error with Hammer projection. - BVR
-
-2010-11-12 Fixed the placement and angle of axis labels in 3D plots. - BVR
-
-2010-11-07 New rc parameters examples.download and examples.directory
-           allow bypassing the download mechanism in get_sample_data.
-           - JKS
-
-2010-10-04 Fix JPEG saving bug: only accept the kwargs documented
-           by PIL for JPEG files. - JKS
-
-2010-09-15 Remove unused _wxagg extension and numerix.h. - EF
-
-2010-08-25 Add new framework for doing animations with examples.- RM
-
-2010-08-21 Remove unused and inappropriate methods from Tick classes:
-           set_view_interval, get_minpos, and get_data_interval are
-           properly found in the Axis class and don't need to be
-           duplicated in XTick and YTick. - EF
-
-2010-08-21 Change Axis.set_view_interval() so that when updating an
-           existing interval, it respects the orientation of that
-           interval, and can enlarge but not reduce the interval.
-           This fixes a bug in which Axis.set_ticks would
-           change the view limits of an inverted axis. Whether
-           set_ticks should be affecting the viewLim at all remains
-           an open question. - EF
-
-2010-08-16 Handle NaN's correctly in path analysis routines.  Fixes a
-           bug where the best location for a legend was not calculated
-           correctly when the line contains NaNs. - MGD
-
-2010-08-14 Fix bug in patch alpha handling, and in bar color kwarg - EF
-
-2010-08-12 Removed all traces of numerix module after 17 months of
-           deprecation warnings. - EF
-
-2010-08-05 Added keyword arguments 'thetaunits' and 'runits' for polar
-           plots.  Fixed PolarAxes so that when it set default
-           Formatters, it marked them as such.  Fixed semilogx and
-           semilogy to no longer blindly reset the ticker information
-           on the non-log axis.  Axes.arrow can now accept unitized
-           data. - JRE
-
-2010-08-03 Add support for MPLSETUPCFG variable for custom setup.cfg
-           filename.  Used by sage buildbot to build an mpl w/ no gui
-           support - JDH
-
-2010-08-01 Create directory specified by MPLCONFIGDIR if it does
-           not exist. - ADS
-
-2010-07-20 Return Qt4's default cursor when leaving the canvas - DSD
-
-2010-07-06 Tagging for mpl 1.0 at r8502
-
-
-2010-07-05 Added Ben Root's patch to put 3D plots in arbitrary axes,
-           allowing you to mix 3d and 2d in different axes/subplots or
-           to have multiple 3D plots in one figure.  See
-           examples/mplot3d/subplot3d_demo.py - JDH
-
-2010-07-05 Preferred kwarg names in set_xlim are now 'left' and
-           'right'; in set_ylim, 'bottom' and 'top'; original
-           kwargs are still accepted without complaint. - EF
-
-2010-07-05 TkAgg and FltkAgg backends are now consistent with other
-           interactive backends: when used in scripts from the
-           command line (not from ipython -pylab), show blocks,
-           and can be called more than once. - EF
-
-2010-07-02 Modified CXX/WrapPython.h to fix "swab bug" on solaris so
-           mpl can compile on Solaris with CXX6 in the trunk.  Closes
-           tracker bug 3022815 - JDH
-
-2010-06-30 Added autoscale convenience method and corresponding
-           pyplot function for simplified control of autoscaling;
-           and changed axis, set_xlim, and set_ylim so that by
-           default, they turn off the autoscaling on the relevent
-           axis or axes.  Therefore one can call set_xlim before
-           plotting a line, for example, and the limits will be
-           retained. - EF
-
-2010-06-20 Added Axes.tick_params and corresponding pyplot function
-           to control tick and tick label appearance after an Axes
-           has been created. - EF
-
-2010-06-09 Allow Axes.grid to control minor gridlines; allow
-           Axes.grid and Axis.grid to control major and minor
-           gridlines in the same method call. - EF
-
-2010-06-06 Change the way we do split/dividend adjustments in
-           finance.py to handle dividends and fix the zero division bug reported
-           in sf bug 2949906 and 2123566.  Note that volume is not adjusted
-           because the Yahoo CSV does not distinguish between share
-           split and dividend adjustments making it near impossible to
-           get volume adjustement right (unless we want to guess based
-           on the size of the adjustment or scrape the html tables,
-           which we don't) - JDH
-
-2010-06-06 Updated dateutil to 1.5 and pytz to 2010h.
-
-2010-06-02 Add error_kw kwarg to Axes.bar(). - EF
-
-2010-06-01 Fix pcolormesh() and QuadMesh to pass on kwargs as
-           appropriate. - RM
-
-2010-05-18 Merge mpl_toolkits.gridspec into the main tree. - JJL
-
-2010-05-04 Improve backend_qt4 so it displays figures with the
-           correct size - DSD
-
-2010-04-20 Added generic support for connecting to a timer for events. This
-           adds TimerBase, TimerGTK, TimerQT, TimerWx, and TimerTk to
-           the backends and a new_timer() method to each backend's
-           canvas to allow ease of creating a new timer. - RM
-
-2010-04-20 Added margins() Axes method and pyplot function. - EF
-
-2010-04-18 update the axes_grid documentation. -JJL
-
-2010-04-18 Control MaxNLocator parameters after instantiation,
-           and via Axes.locator_params method, with corresponding
-           pyplot function. -EF
-
-2010-04-18 Control ScalarFormatter offsets directly and via the
-           Axes.ticklabel_format() method, and add that to pyplot. -EF
-
-2010-04-16 Add a close_event to the backends. -RM
-
-2010-04-06 modify axes_grid examples to use axes_grid1 and axisartist. -JJL
-
-2010-04-06 rebase axes_grid using axes_grid1 and axisartist modules. -JJL
-
-2010-04-06 axes_grid toolkit is splitted into two separate modules,
-           axes_grid1 and axisartist. -JJL
-
-2010-04-05 Speed up import: import pytz only if and when it is
-           needed.  It is not needed if the rc timezone is UTC. - EF
-
-2010-04-03 Added color kwarg to Axes.hist(), based on work by
-           Jeff Klukas. - EF
-
-2010-03-24 refactor colorbar code so that no cla() is necessary when
-           mappable is changed. -JJL
-
-2010-03-22 fix incorrect rubber band during the zoom mode when mouse
-           leaves the axes. -JJL
-
-2010-03-21 x/y key during the zoom mode only changes the x/y limits. -JJL
-
-2010-03-20 Added pyplot.sca() function suggested by JJL. - EF
-
-2010-03-20 Added conditional support for new Tooltip API in gtk backend. - EF
-
-2010-03-20 Changed plt.fig_subplot() to plt.subplots() after discussion on
-           list, and changed its API to return axes as a numpy object array
-           (with control of dimensions via squeeze keyword). FP.
-
-2010-03-13 Manually brought in commits from branch
-
-  ------------------------------------------------------------------------
-  r8191 | leejjoon | 2010-03-13 17:27:57 -0500 (Sat, 13 Mar 2010) | 1 line
-
-  fix the bug that handles for scatter are incorrectly set when dpi!=72.
-  Thanks to Ray Speth for the bug report.
-
-
-2010-03-03 Manually brought in commits from branch via diff/patch
-        (svnmerge is broken)
-
-  ------------------------------------------------------------------------
-  r8175 | leejjoon | 2010-03-03 10:03:30 -0800 (Wed, 03 Mar 2010) | 1 line
-
-  fix arguments of allow_rasterization.draw_wrapper
-  ------------------------------------------------------------------------
-  r8174 | jdh2358 | 2010-03-03 09:15:58 -0800 (Wed, 03 Mar 2010) | 1 line
-
-  added support for favicon in docs build
-  ------------------------------------------------------------------------
-  r8173 | jdh2358 | 2010-03-03 08:56:16 -0800 (Wed, 03 Mar 2010) | 1 line
-
-  applied Mattias get_bounds patch
-  ------------------------------------------------------------------------
-  r8172 | jdh2358 | 2010-03-03 08:31:42 -0800 (Wed, 03 Mar 2010) | 1 line
-
-  fix svnmerge download instructions
-  ------------------------------------------------------------------------
-  r8171 | jdh2358 | 2010-03-03 07:47:48 -0800 (Wed, 03 Mar 2010) | 1 line
-
-
-
-2010-02-25 add annotation_demo3.py that demonstrates new functionality. -JJL
-
-2010-02-25 refactor Annotation to support arbitrary Transform as xycoords
-           or textcoords. Also, if a tuple of two coordinates is provided,
-           they are interpreted as coordinates for each x and y position.
-           -JJL
-
-2010-02-24 Added pyplot.fig_subplot(), to create a figure and a group of
-           subplots in a single call.  This offers an easier pattern than
-           manually making figures and calling add_subplot() multiple times. FP
-
-2010-02-17 Added Gokhan's and Mattias' customizable keybindings patch
-           for the toolbar.  You can now set the keymap.* properties
-           in the matplotlibrc file.  Newbindings were added for
-           toggling log scaling on the x-axis. JDH
-
-2010-02-16 Committed TJ's filled marker patch for
-           left|right|bottom|top|full filled markers.  See
-           examples/pylab_examples/filledmarker_demo.py. JDH
-
-2010-02-11 Added 'bootstrap' option to boxplot. This allows bootstrap
-           estimates of median confidence intervals. Based on an
-           initial patch by Paul Hobson. - ADS
-
-2010-02-06 Added setup.cfg "basedirlist" option to override setting
-           in setupext.py "basedir" dictionary; added "gnu0"
-           platform requested by Benjamin Drung. - EF
-
-2010-02-06 Added 'xy' scaling option to EllipseCollection. - EF
-
-2010-02-03 Made plot_directive use a custom PlotWarning category, so that
-           warnings can be turned into fatal errors easily if desired. - FP
-
-2010-01-29 Added draggable method to Legend to allow mouse drag
-           placement.  Thanks Adam Fraser. JDH
-
-2010-01-25 Fixed a bug reported by Olle Engdegard, when using
-           histograms with stepfilled and log=True - MM
-
-2010-01-16 Upgraded CXX to 6.1.1 - JDH
-
-2009-01-16 Don't create minor ticks on top of existing major
-           ticks. Patch by Neil Crighton. -ADS
-
-2009-01-16 Ensure three minor ticks always drawn (SF# 2924245). Patch
-           by Neil Crighton. -ADS
-
-2010-01-16 Applied patch by Ian Thomas to fix two contouring
-           problems: now contourf handles interior masked regions,
-           and the boundaries of line and filled contours coincide. - EF
-
-2009-01-11 The color of legend patch follows the rc parameters
-           axes.facecolor and axes.edgecolor. -JJL
-
-2009-01-11 adjustable of Axes can be "box-forced" which allow
-           sharing axes. -JJL
-
-2009-01-11 Add add_click and pop_click methods in
-           BlockingContourLabeler. -JJL
-
-
-2010-01-03 Added rcParams['axes.color_cycle'] - EF
-
-2010-01-03 Added Pierre's qt4 formlayout editor and toolbar button - JDH
-
-2009-12-31 Add support for using math text as marker symbols (Thanks to tcb)
-           - MGD
-
-2009-12-31 Commit a workaround for a regression in PyQt4-4.6.{0,1} - DSD
-
-2009-12-22 Fix cmap data for gist_earth_r, etc. -JJL
-
-2009-12-20 spines: put spines in data coordinates, add set_bounds()
-           call. -ADS
-
-2009-12-18 Don't limit notch size in boxplot to q1-q3 range, as this
-           is effectively making the data look better than it is. - ADS
-
-2009-12-18 mlab.prctile handles even-length data, such that the median
-           is the mean of the two middle values. - ADS
-
-2009-12-15 Add raw-image (unsampled) support for the ps backend. - JJL
-
-2009-12-14 Add patch_artist kwarg to boxplot, but keep old default.
-           Convert boxplot_demo2.py to use the new patch_artist. - ADS
-
-2009-12-06 axes_grid: reimplemented AxisArtist with FloatingAxes support.
-           Added new examples. - JJL
-
-2009-12-01 Applied Laurent Dufrechou's patch to improve blitting with
-           the qt4 backend - DSD
-
-2009-11-13 The pdf backend now allows changing the contents of
-           a pdf file's information dictionary via PdfPages.infodict. - JKS
-
-2009-11-12 font_manager.py should no longer cause EINTR on Python 2.6
-           (but will on the 2.5 version of subprocess). Also the
-           fc-list command in that file was fixed so now it should
-           actually find the list of fontconfig fonts. - JKS
-
-2009-11-10 Single images, and all images in renderers with
-           option_image_nocomposite (i.e. agg, macosx and the svg
-           backend when rcParams['svg.image_noscale'] is True), are
-           now drawn respecting the zorder relative to other
-           artists. (Note that there may now be inconsistencies across
-           backends when more than one image is drawn at varying
-           zorders, but this change introduces correct behavior for
-           the backends in which it's easy to do so.)
-
-2009-10-21 Make AutoDateLocator more configurable by adding options
-           to control the maximum and minimum number of ticks. Also
-           add control of the intervals to be used for ticking. This
-           does not change behavior but opens previously hard-coded
-           behavior to runtime modification`. - RMM
-
-2009-10-19 Add "path_effects" support for Text and Patch. See
-           examples/pylab_examples/patheffect_demo.py -JJL
-
-2009-10-19 Add "use_clabeltext" option to clabel. If True, clabels
-           will be created with ClabelText class, which recalculates
-           rotation angle of the label during the drawing time. -JJL
-
-2009-10-16 Make AutoDateFormatter actually use any specified
-           timezone setting.This was only working correctly
-           when no timezone was specified. - RMM
-
-2009-09-27 Beginnings of a capability to test the pdf backend. - JKS
-
-2009-09-27 Add a savefig.extension rcparam to control the default
-           filename extension used by savefig. - JKS
-
-===============================================
-2009-09-21 Tagged for release 0.99.1
-
-2009-09-20 Fix usetex spacing errors in pdf backend. - JKS
-
-2009-09-20 Add Sphinx extension to highlight IPython console sessions,
-           originally authored (I think) by Michael Droetboom. - FP
-
-2009-09-20 Fix off-by-one error in dviread.Tfm, and additionally protect
-           against exceptions in case a dvi font is missing some metrics. - JKS
-
-2009-09-15 Implement draw_text and draw_tex method of backend_base using
-           the textpath module. Implement draw_tex method of the svg
-           backend. - JJL
-
-2009-09-15 Don't fail on AFM files containing floating-point bounding boxes - JKS
-
-2009-09-13 AxesGrid : add modified version of colorbar. Add colorbar
-           location howto. - JJL
-
-2009-09-07 AxesGrid : implemented axisline style.
-           Added a demo examples/axes_grid/demo_axisline_style.py- JJL
-
-2009-09-04 Make the textpath class as a separate moduel
-           (textpath.py). Add support for mathtext and tex.- JJL
-
-2009-09-01 Added support for Gouraud interpolated triangles.
-           pcolormesh now accepts shading='gouraud' as an option. - MGD
-
-2009-08-29 Added matplotlib.testing package, which contains a Nose
-           plugin and a decorator that lets tests be marked as
-           KnownFailures - ADS
-
-2009-08-20 Added scaled dict to AutoDateFormatter for customized
-           scales - JDH
-
-2009-08-15 Pyplot interface: the current image is now tracked at the
-           figure and axes level, addressing tracker item 1656374. - EF
-
-2009-08-15 Docstrings are now manipulated with decorators defined
-           in a new module, docstring.py, thanks to Jason Coombs. - EF
-
-2009-08-14 Add support for image filtering for agg back end. See the example
-           demo_agg_filter.py. -JJL
-
-2009-08-09 AnnotationBbox added. Similar to Annotation, but works with
-           OffsetBox instead of Text. See the example
-           demo_annotation_box.py. -JJL
-
-2009-08-07 BboxImage implemented. Two examples, demo_bboximage.py and
-           demo_ribbon_box.py added. - JJL
-
-2009-08-07 In an effort to simplify the backend API, all clipping rectangles
-           and paths are now passed in using GraphicsContext objects, even
-           on collections and images.  Therefore:
-
-             draw_path_collection(self, master_transform, cliprect, clippath,
-                                  clippath_trans, paths, all_transforms, offsets,
-                                  offsetTrans, facecolors, edgecolors, linewidths,
-                                  linestyles, antialiaseds, urls)
-
-                                             becomes:
-
-             draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                                  offsets, offsetTrans, facecolors, edgecolors,
-                                  linewidths, linestyles, antialiaseds, urls)
-
-
-
-             draw_quad_mesh(self, master_transform, cliprect, clippath,
-                            clippath_trans, meshWidth, meshHeight, coordinates,
-                            offsets, offsetTrans, facecolors, antialiased,
-                            showedges)
-
-                                             becomes:
-
-             draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
-                            coordinates, offsets, offsetTrans, facecolors,
-                            antialiased, showedges)
-
-
-
-             draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None)
-
-                                             becomes:
-
-             draw_image(self, gc, x, y, im)
-
-           - MGD
-
-2009-08-06 Tagging the 0.99.0 release at svn r7397 - JDH
-
-           * fixed an alpha colormapping bug posted on sf 2832575
-
-           * fix typo in axes_divider.py. use nanmin, nanmax in angle_helper.py
-             (patch by Christoph Gohlke)
-
-           * remove dup gui event in enter/leave events in gtk
-
-           * lots of fixes for os x binaries (Thanks Russell Owen)
-
-           * attach gtk events to mpl events -- fixes sf bug 2816580
-
-           * applied sf patch 2815064 (middle button events for wx) and
-             patch  2818092 (resize events for wx)
-
-           * fixed boilerplate.py so it doesn't break the ReST docs.
-
-           * removed a couple of cases of mlab.load
-
-           * fixed rec2csv win32 file handle bug from sf patch 2831018
-
-           * added two examples from Josh Hemann: examples/pylab_examples/barchart_demo2.py
-             and examples/pylab_examples/boxplot_demo2.py
-
-           * handled sf bugs 2831556 and 2830525; better bar error messages and
-             backend driver configs
-
-           * added miktex win32 patch from sf patch 2820194
-
-           * apply sf patches 2830233 and 2823885 for osx setup and 64 bit;  thanks Michiel
-
-2009-08-04 Made cbook.get_sample_data make use of the ETag and Last-Modified
-           headers of mod_dav_svn. - JKS
-
-2009-08-03 Add PathCollection; modify contourf to use complex
-           paths instead of simple paths with cuts. - EF
-
-
-2009-08-03 Fixed boilerplate.py so it doesn't break the ReST docs. - JKS
-
-2009-08-03 pylab no longer provides a load and save function.  These
-           are available in matplotlib.mlab, or you can use
-           numpy.loadtxt and numpy.savetxt for text files, or np.save
-           and np.load for binary numpy arrays. - JDH
-
-2009-07-31 Added cbook.get_sample_data for urllib enabled fetching and
-           cacheing of data needed for examples.  See
-           examples/misc/sample_data_demo.py - JDH
-
-2009-07-31 Tagging 0.99.0.rc1 at 7314 - MGD
-
-2009-07-30 Add set_cmap and register_cmap, and improve get_cmap,
-           to provide convenient handling of user-generated
-           colormaps. Reorganized _cm and cm modules. - EF
-
-2009-07-28 Quiver speed improved, thanks to tip by Ray Speth. -EF
-
-2009-07-27 Simplify argument handling code for plot method. -EF
-
-2009-07-25 Allow "plot(1, 2, 'r*')" to work. - EF
-
-2009-07-22 Added an 'interp' keyword to griddata so the faster linear
-           interpolation method can be chosen.  Default is 'nn', so
-           default behavior (using natural neighbor method) is unchanged (JSW)
-
-2009-07-22 Improved boilerplate.py so that it generates the correct
-           signatures for pyplot functions. - JKS
-
-2009-07-19 Fixed the docstring of Axes.step to reflect the correct
-           meaning of the kwargs "pre" and "post" - See SF bug
-           https://sourceforge.net/tracker/index.php?func=detail&aid=2823304&group_id=80706&atid=560720
-           - JDH
-
-2009-07-18 Fix support for hatches without color fills to pdf and svg
-           backends. Add an example of that to hatch_demo.py. - JKS
-
-2009-07-17 Removed fossils from swig version of agg backend. - EF
-
-2009-07-14 initial submission of the annotation guide. -JJL
-
-2009-07-14 axes_grid : minor improvements in anchored_artists and
-           inset_locator. -JJL
-
-2009-07-14 Fix a few bugs in ConnectionStyle algorithms. Add
-           ConnectionPatch class. -JJL
-
-2009-07-11 Added a fillstyle Line2D property for half filled markers
-           -- see examples/pylab_examples/fillstyle_demo.py JDH
-
-2009-07-08 Attempt to improve performance of qt4 backend, do not call
-           qApp.processEvents while processing an event. Thanks Ole
-           Streicher for tracking this down - DSD
-
-2009-06-24 Add withheader option to mlab.rec2csv and changed
-  use_mrecords default to False in mlab.csv2rec since this is
-  partially broken - JDH
-
-2009-06-24 backend_agg.draw_marker quantizes the main path (as in the
-           draw_path). - JJL
-
-2009-06-24 axes_grid: floating axis support added. - JJL
-
-2009-06-14 Add new command line options to backend_driver.py to support
-           running only some directories of tests - JKS
-
-2009-06-13 partial cleanup of mlab and its importation in pylab - EF
-
-2009-06-13 Introduce a rotation_mode property for the Text artist. See
-           examples/pylab_examples/demo_text_rotation_mode.py -JJL
-
-2009-06-07 add support for bz2 files per sf support request 2794556 -
-           JDH
-
-2009-06-06 added a properties method to the artist and inspector to
-           return a dict mapping property name -> value; see sf
-           feature request 2792183 - JDH
-
-2009-06-06 added Neil's auto minor tick patch; sf patch #2789713 - JDH
-
-2009-06-06 do not apply alpha to rgba color conversion if input is
-           already rgba - JDH
-
-2009-06-03 axes_grid : Initial check-in of curvelinear grid support. See
-           examples/axes_grid/demo_curvelinear_grid.py - JJL
-
-2009-06-01 Add set_color method to Patch - EF
-
-2009-06-01 Spine is now derived from Patch - ADS
-
-2009-06-01 use cbook.is_string_like() instead of isinstance() for spines - ADS
-
-2009-06-01 cla() support for spines - ADS
-
-2009-06-01 Removed support for gtk < 2.4. - EF
-
-2009-05-29 Improved the animation_blit_qt4 example, which was a mix
-           of the object-oriented and pylab interfaces. It is now
-           strictly object-oriented - DSD
-
-2009-05-28 Fix axes_grid toolkit to work with spine patch by ADS. - JJL
-
-2009-05-28 Applied fbianco's patch to handle scroll wheel events in
-           the qt4 backend - DSD
-
-2009-05-26 Add support for "axis spines" to have arbitrary location. -ADS
-
-2009-05-20 Add an empty matplotlibrc to the tests/ directory so that running
-           tests will use the default set of rcparams rather than the user's
-           config. - RMM
-
-2009-05-19 Axis.grid(): allow use of which='major,minor' to have grid
-           on major and minor ticks. -ADS
-
-2009-05-18 Make psd(), csd(), and cohere() wrap properly for complex/two-sided
-           versions, like specgram() (SF #2791686) - RMM
-
-2009-05-18 Fix the linespacing bug of multiline text (#1239682). See
-           examples/pylab_examples/multiline.py -JJL
-
-2009-05-18 Add *annotation_clip* attr. for text.Annotation class.
-           If True, annotation is only drawn when the annotated point is
-           inside the axes area. -JJL
-
-2009-05-17 Fix bug(#2749174) that some properties of minor ticks are
-           not conserved -JJL
-
-2009-05-17 applied Michiel's sf patch 2790638 to turn off gtk event
-           loop in setupext for pygtk>=2.15.10 - JDH
-
-2009-05-17 applied Michiel's sf patch 2792742 to speed up Cairo and
-           macosx collections; speedups can be 20x.  Also fixes some
-           bugs in which gc got into inconsistent state
-
-======================================================================
-
-2008-05-17 Release 0.98.5.3 at r7107 from the branch - JDH
-
-2009-05-13 An optional offset and bbox support in restore_bbox.
-           Add animation_blit_gtk2.py. -JJL
-
-2009-05-13 psfrag in backend_ps now uses baseline-alignment
-           when preview.sty is used ((default is
-           bottom-alignment). Also, a small api imporvement
-           in OffsetBox-JJL
-
-2009-05-13 When the x-coordinate of a line is monotonically
-           increasing, it is now automatically clipped at
-           the stage of generating the transformed path in
-           the draw method; this greatly speeds up zooming and
-           panning when one is looking at a short segment of
-           a long time series, for example. - EF
-
-2009-05-11 aspect=1 in log-log plot gives square decades. -JJL
-
-2009-05-08 clabel takes new kwarg, rightside_up; if False, labels
-           will not be flipped to keep them rightside-up.  This
-           allows the use of clabel to make streamfunction arrows,
-           as requested by Evan Mason. - EF
-
-2009-05-07 'labelpad' can now be passed when setting x/y labels. This
-           allows controlling the spacing between the label and its
-           axis. - RMM
-
-2009-05-06 print_ps now uses mixed-mode renderer. Axes.draw rasterize
-           artists whose zorder smaller than rasterization_zorder.
-           -JJL
-
-2009-05-06 Per-artist Rasterization, originally by Eric Bruning. -JJ
-
-2009-05-05 Add an example that shows how to make a plot that updates
-           using data from another process.  Thanks to Robert
-           Cimrman - RMM
-
-2009-05-05 Add Axes.get_legend_handles_labels method. - JJL
-
-2009-05-04 Fix bug that Text.Annotation is still drawn while set to
-           not visible. - JJL
-
-2009-05-04 Added TJ's fill_betweenx patch - JDH
-
-2009-05-02 Added options to plotfile based on question from
-           Joseph Smidt and patch by Matthias Michler. - EF
-
-
-2009-05-01 Changed add_artist and similar Axes methods to
-           return their argument. - EF
-
-2009-04-30 Incorrect eps bbox for landscape mode fixed - JJL
-
-2009-04-28 Fixed incorrect bbox of eps output when usetex=True. - JJL
-
-2009-04-24 Changed use of os.open* to instead use subprocess.Popen.
-           os.popen* are deprecated in 2.6 and are removed in 3.0. - RMM
-
-2009-04-20 Worked on axes_grid documentation. Added
-           axes_grid.inset_locator. - JJL
-
-2009-04-17 Initial check-in of the axes_grid toolkit. - JJL
-
-2009-04-17 Added a support for bbox_to_anchor in
-           offsetbox.AnchoredOffsetbox. Improved a documentation.
-           - JJL
-
-2009-04-16 Fixed a offsetbox bug that multiline texts are not
-           correctly aligned.  - JJL
-
-2009-04-16 Fixed a bug in mixed mode renderer that images produced by
-           an rasterizing backend are placed with incorrect size.
-           - JJL
-
-2009-04-14 Added Jonathan Taylor's Reinier Heeres' port of John
-           Porters' mplot3d to svn trunk.  Package in
-           mpl_toolkits.mplot3d and demo is examples/mplot3d/demo.py.
-           Thanks Reiner
-
-2009-04-06 The pdf backend now escapes newlines and linefeeds in strings.
-           Fixes sf bug #2708559; thanks to Tiago Pereira for the report.
-
-2009-04-06 texmanager.make_dvi now raises an error if LaTeX failed to
-           create an output file. Thanks to Joao Luis Silva for reporting
-           this. - JKS
-
-2009-04-05 _png.read_png() reads 12 bit PNGs (patch from
-           Tobias Wood) - ADS
-
-2009-04-04 Allow log axis scale to clip non-positive values to
-           small positive value; this is useful for errorbars. - EF
-
-2009-03-28 Make images handle nan in their array argument.
-           A helper, cbook.safe_masked_invalid() was added. - EF
-
-2009-03-25 Make contour and contourf handle nan in their Z argument. - EF
-
-2009-03-20 Add AuxTransformBox in offsetbox.py to support some transformation.
-           anchored_text.py example is enhanced and renamed
-           (anchored_artists.py). - JJL
-
-2009-03-20 Add "bar" connection style for annotation - JJL
-
-2009-03-17 Fix bugs in edge color handling by contourf, found
-           by Jae-Joon Lee. - EF
-
-2009-03-14 Added 'LightSource' class to colors module for
-           creating shaded relief maps.  shading_example.py
-           added to illustrate usage. - JSW
-
-2009-03-11 Ensure wx version >= 2.8; thanks to Sandro Tosi and
-           Chris Barker. - EF
-
-2009-03-10 Fix join style bug in pdf. - JKS
-
-2009-03-07 Add pyplot access to figure number list - EF
-
-2009-02-28 hashing of FontProperties accounts current rcParams - JJL
-
-2009-02-28 Prevent double-rendering of shared axis in twinx, twiny - EF
-
-2009-02-26 Add optional bbox_to_anchor argument for legend class - JJL
-
-2009-02-26 Support image clipping in pdf backend. - JKS
-
-2009-02-25 Improve tick location subset choice in FixedLocator. - EF
-
-2009-02-24 Deprecate numerix, and strip out all but the numpy
-           part of the code. - EF
-
-2009-02-21 Improve scatter argument handling; add an early error
-           message, allow inputs to have more than one dimension. - EF
-
-2009-02-16 Move plot_directive.py to the installed source tree.  Add
-           support for inline code content - MGD
-
-2009-02-16 Move mathmpl.py to the installed source tree so it is
-           available to other projects. - MGD
-
-2009-02-14 Added the legend title support - JJL
-
-2009-02-10 Fixed a bug in backend_pdf so it doesn't break when the setting
-           pdf.use14corefonts=True is used. Added test case in
-           unit/test_pdf_use14corefonts.py. - NGR
-
-2009-02-08 Added a new imsave function to image.py and exposed it in
-           the pyplot interface - GR
-
-2009-02-04 Some reorgnization of the legend code. anchored_text.py
-           added as an example. - JJL
-
-2009-02-04 Add extent keyword arg to hexbin - ADS
-
-2009-02-04 Fix bug in mathtext related to \dots and \ldots - MGD
-
-2009-02-03 Change default joinstyle to round - MGD
-
-2009-02-02 Reduce number of marker XObjects in pdf output - JKS
-
-2009-02-02 Change default resolution on polar plot to 1 - MGD
-
-2009-02-02 Avoid malloc errors in ttconv for fonts that don't have
-           e.g., PostName (a version of Tahoma triggered this) - JKS
-
-2009-01-30 Remove support for pyExcelerator in exceltools -- use xlwt
-           instead - JDH
-
-2009-01-29 Document 'resolution' kwarg for polar plots.  Support it
-           when using pyplot.polar, not just Figure.add_axes. - MGD
-
-2009-01-29 Rework the nan-handling/clipping/quantizing/simplification
-           framework so each is an independent part of a pipeline.
-           Expose the C++-implementation of all of this so it can be
-           used from all Python backends.  Add rcParam
-           "path.simplify_threshold" to control the threshold of
-           similarity below which vertices will be removed.
-
-2009-01-26 Improved tight bbox option of the savefig. - JJL
-
-2009-01-26 Make curves and NaNs play nice together - MGD
-
-2009-01-21 Changed the defaults of acorr and xcorr to use
-           usevlines=True, maxlags=10 and normed=True since these are
-           the best defaults
-
-2009-01-19 Fix bug in quiver argument handling. - EF
-
-2009-01-19 Fix bug in backend_gtk: don't delete nonexistent toolbar. - EF
-
-2009-01-16 Implement bbox_inches option for savefig. If bbox_inches is
-           "tight", try to determine the tight bounding box. - JJL
-
-2009-01-16 Fix bug in is_string_like so it doesn't raise an
-           unnecessary exception. - EF
-
-2009-01-16 Fix an infinite recursion in the unit registry when searching
-           for a converter for a sequence of strings. Add a corresponding
-           test. - RM
-
-2009-01-16 Bugfix of C typedef of MPL_Int64 that was failing on
-           Windows XP 64 bit, as reported by George Goussard on numpy
-           mailing list. - ADS
-
-2009-01-16 Added helper function LinearSegmentedColormap.from_list to
-           facilitate building simple custom colomaps.  See
-           examples/pylab_examples/custom_cmap_fromlist.py - JDH
-
-2009-01-16 Applied Michiel's patch for macosx backend to fix rounding
-           bug. Closed sf bug 2508440 - JSW
-
-2009-01-10 Applied Michiel's hatch patch for macosx backend and
-           draw_idle patch for qt.  Closes sf patched 2497785 and
-           2468809 - JDH
-
-2009-01-10 Fix bug in pan/zoom with log coordinates. - EF
-
-2009-01-06 Fix bug in setting of dashed negative contours. - EF
-
-2009-01-06 Be fault tolerant when len(linestyles)>NLev in contour. - MM
-
-2009-01-06 Added marginals kwarg to hexbin to plot marginal densities
-           JDH
-
-2009-01-06 Change user-visible multipage pdf object to PdfPages to
-           avoid accidents with the file-like PdfFile. - JKS
-
-2009-01-05 Fix a bug in pdf usetex: allow using non-embedded fonts. - JKS
-
-2009-01-05 optional use of preview.sty in usetex mode. - JJL
-
-2009-01-02 Allow multipage pdf files. - JKS
-
-2008-12-31 Improve pdf usetex by adding support for font effects
-           (slanting and extending). - JKS
-
-2008-12-29 Fix a bug in pdf usetex support, which occurred if the same
-           Type-1 font was used with different encodings, e.g., with
-           Minion Pro and MnSymbol. - JKS
-
-2008-12-20 fix the dpi-dependent offset of Shadow. - JJL
-
-2008-12-20 fix the hatch bug in the pdf backend. minor update
-           in docs and  example - JJL
-
-2008-12-19 Add axes_locator attribute in Axes. Two examples are added.
-           - JJL
-
-2008-12-19 Update Axes.legend documnetation. /api/api_changes.rst is also
-           updated to describe chages in keyword parameters.
-           Issue a warning if old keyword parameters are used. - JJL
-
-2008-12-18 add new arrow style, a line + filled triangles. -JJL
-
-==================================================================
-2008-12-18 Re-Released 0.98.5.2 from v0_98_5_maint at r6679
-           Released 0.98.5.2 from v0_98_5_maint at r6667
-
-2008-12-18 Removed configobj, experimental traits and doc/mpl_data link - JDH
-
-2008-12-18 Fix bug where a line with NULL data limits prevents
-           subsequent data limits from calculating correctly - MGD
-
-2008-12-17 Major documentation generator changes - MGD
-
-2008-12-17 Applied macosx backend patch with support for path
-           collections, quadmesh, etc... - JDH
-
-2008-12-17 fix dpi-dependent behavior of text bbox and arrow in annotate
-            -JJL
-
-2008-12-17 Add group id support in artist. Two examples which
-           demostrate svg filter are added. -JJL
-
-2008-12-16 Another attempt to fix dpi-dependent behavior of Legend. -JJL
-
-2008-12-16 Fixed dpi-dependent behavior of Legend and fancybox in Text.
-
-2008-12-16 Added markevery property to Line2D to support subsampling
-           of markers - JDH
-2008-12-15 Removed mpl_data symlink in docs.  On platforms that do not
-           support symlinks, these become copies, and the font files
-           are large, so the distro becomes unneccessarily bloaded.
-           Keeping the mpl_examples dir because relative links are
-           harder for the plot directive and the *.py files are not so
-           large. - JDH
-
-2008-12-15 Fix \$ in non-math text with usetex off.  Document
-           differences between usetex on/off - MGD
-
-2008-12-15 Fix anti-aliasing when auto-snapping - MGD
-
-2008-12-15 Fix grid lines not moving correctly during pan and zoom - MGD
-
-2008-12-12 Preparations to eliminate maskedarray rcParams key: its
-           use will now generate a warning.  Similarly, importing
-           the obsolote numerix.npyma will generate a warning. - EF
-
-2008-12-12 Added support for the numpy.histogram() weights parameter
-           to the axes hist() method. Docs taken from numpy - MM
-
-2008-12-12 Fixed warning in hist() with numpy 1.2 - MM
-
-2008-12-12 Removed external packages: configobj and enthought.traits
-           which are only required by the experimental traited config
-           and are somewhat out of date. If needed, install them
-           independently, see:
-
-           http://code.enthought.com/projects/traits
-
-           and:
-
-           http://www.voidspace.org.uk/python/configobj.html
-
-2008-12-12 Added support to asign labels to histograms of multiple
-           data. - MM
-
-=================================================================
-2008-12-11 Released 0.98.5 at svn r6573
-
-2008-12-11 Use subprocess.Popen instead of os.popen in dviread
-           (Windows problem reported by Jorgen Stenarson) - JKS
-
-2008-12-10 Added Michael's font_manager fix and Jae-Joon's
-           figure/subplot fix.  Bumped version number to 0.98.5 - JDH
-
-=================================================================
-2008-12-09 Released 0.98.4 at svn r6536
-
-2008-12-08 Added mdehoon's native macosx backend from sf patch 2179017 - JDH
-
-2008-12-08 Removed the prints in the set_*style commands.  Return the
-           list of pprinted strings instead - JDH
-
-2008-12-08 Some of the changes Michael made to improve the output of
-           the property tables in the rest docs broke of made
-           difficult to use some of the interactive doc helpers, e.g.,
-           setp and getp.  Having all the rest markup in the ipython
-           shell also confused the docstrings.  I added a new rc param
-           docstring.harcopy, to format the docstrings differently for
-           hardcopy and other use.  Ther ArtistInspector could use a
-           little refactoring now since there is duplication of effort
-           between the rest out put and the non-rest output - JDH
-
-2008-12-08 Updated spectral methods (psd, csd, etc.) to scale one-sided
-           densities by a factor of 2 and, optionally, scale all densities
-           by the sampling frequency.  This gives better MatLab
-           compatibility. -RM
-
-2008-12-08 Fixed alignment of ticks in colorbars. -MGD
-
-2008-12-07 drop the deprecated "new" keyword of np.histogram() for
-           numpy 1.2 or later.  -JJL
-
-2008-12-06 Fixed a bug in svg backend that new_figure_manager()
-           ignores keywords arguments such as figsize, etc. -JJL
-
-2008-12-05 Fixed a bug that the handlelength of the new legend class
-           set too short when numpoints=1 -JJL
-
-2008-12-04 Added support for data with units (e.g., dates) to
-           Axes.fill_between. -RM
-
-2008-12-04 Added fancybox keyword to legend. Also applied some changes
-           for better look, including baseline adjustment of the
-           multiline texts so that it is center aligned. -JJL
-
-2008-12-02 The transmuter classes in the patches.py are reorganized as
-           subclasses of the Style classes. A few more box and arrow
-           styles are added. -JJL
-
-2008-12-02 Fixed a bug in the new legend class that didn't allowed
-           a tuple of coordinate vlaues as loc. -JJL
-
-2008-12-02 Improve checks for external dependencies, using subprocess
-           (instead of deprecated popen*) and distutils (for version
-           checking) - DSD
-
-2008-11-30 Reimplementaion of the legend which supports baseline alignement,
-           multi-column, and expand mode. - JJL
-
-2008-12-01 Fixed histogram autoscaling bug when bins or range are given
-           explicitly (fixes Debian bug 503148) - MM
-
-2008-11-25 Added rcParam axes.unicode_minus which allows plain hypen
-           for minus when False - JDH
-
-2008-11-25 Added scatterpoints support in Legend. patch by Erik
-           Tollerud - JJL
-
-2008-11-24 Fix crash in log ticking. - MGD
-
-2008-11-20 Added static helper method BrokenHBarCollection.span_where
-           and Axes/pyplot method fill_between.  See
-           examples/pylab/fill_between.py - JDH
-
-2008-11-12 Add x_isdata and y_isdata attributes to Artist instances,
-           and use them to determine whether either or both
-           coordinates are used when updating dataLim.  This is
-           used to fix autoscaling problems that had been triggered
-           by axhline, axhspan, axvline, axvspan. - EF
-
-2008-11-11 Update the psd(), csd(), cohere(), and specgram() methods
-           of Axes and the csd() cohere(), and specgram() functions
-           in mlab to be in sync with the changes to psd().
-           In fact, under the hood, these all call the same core
-           to do computations. - RM
-
-2008-11-11 Add 'pad_to' and 'sides' parameters to mlab.psd() to
-           allow controlling of zero padding and returning of
-           negative frequency components, respecitively.  These are
-           added in a way that does not change the API. - RM
-
-2008-11-10 Fix handling of c kwarg by scatter; generalize
-           is_string_like to accept numpy and numpy.ma string
-           array scalars. - RM and EF
-
-2008-11-09 Fix a possible EINTR problem in dviread, which might help
-           when saving pdf files from the qt backend. - JKS
-
-2008-11-05 Fix bug with zoom to rectangle and twin axes - MGD
-
-2008-10-24 Added Jae Joon's fancy arrow, box and annotation
-           enhancements -- see
-           examples/pylab_examples/annotation_demo2.py
-
-2008-10-23 Autoscaling is now supported with shared axes - EF
-
-2008-10-23 Fixed exception in dviread that happened with Minion - JKS
-
-2008-10-21 set_xlim, ylim now return a copy of the viewlim array to
-           avoid modify inplace surprises
-
-2008-10-20 Added image thumbnail generating function
-           matplotlib.image.thumbnail.  See
-           examples/misc/image_thumbnail.py - JDH
-
-2008-10-20 Applied scatleg patch based on ideas and work by Erik
-           Tollerud and Jae-Joon Lee. - MM
-
-2008-10-11 Fixed bug in pdf backend: if you pass a file object for
-           output instead of a filename, e.g., in a wep app, we now
-           flush the object at the end. - JKS
-
-2008-10-08 Add path simplification support to paths with gaps. - EF
-
-2008-10-05 Fix problem with AFM files that don't specify the font's
-           full name or family name. - JKS
-
-2008-10-04 Added 'scilimits' kwarg to Axes.ticklabel_format() method,
-           for easy access to the set_powerlimits method of the
-           major ScalarFormatter. - EF
-
-2008-10-04 Experimental new kwarg borderpad to replace pad in legend,
-           based on suggestion by Jae-Joon Lee.  - EF
-
-2008-09-27 Allow spy to ignore zero values in sparse arrays, based
-           on patch by Tony Yu.  Also fixed plot to handle empty
-           data arrays, and fixed handling of markers in figlegend. - EF
-
-2008-09-24 Introduce drawstyles for lines. Transparently split linestyles
-           like 'steps--' into drawstyle 'steps' and linestyle '--'.
-           Legends always use drawstyle 'default'. - MM
-
-2008-09-18 Fixed quiver and quiverkey bugs (failure to scale properly
-           when resizing) and added additional methods for determining
-           the arrow angles - EF
-
-2008-09-18 Fix polar interpolation to handle negative values of theta - MGD
-
-2008-09-14 Reorganized cbook and mlab methods related to numerical
-           calculations that have little to do with the goals of those two
-           modules into a separate module numerical_methods.py
-           Also, added ability to select points and stop point selection
-           with keyboard in ginput and manual contour labeling code.
-           Finally, fixed contour labeling bug. - DMK
-
-2008-09-11 Fix backtick in Postscript output. - MGD
-
-2008-09-10 [ 2089958 ] Path simplification for vector output backends
-           Leverage the simplification code exposed through
-           path_to_polygons to simplify certain well-behaved paths in
-           the vector backends (PDF, PS and SVG).  "path.simplify"
-           must be set to True in matplotlibrc for this to work.  -
-           MGD
-
-2008-09-10 Add "filled" kwarg to Path.intersects_path and
-           Path.intersects_bbox. - MGD
-
-2008-09-07 Changed full arrows slightly to avoid an xpdf rendering
-           problem reported by Friedrich Hagedorn. - JKS
-
-2008-09-07 Fix conversion of quadratic to cubic Bezier curves in PDF
-           and PS backends. Patch by Jae-Joon Lee. - JKS
-
-2008-09-06 Added 5-point star marker to plot command - EF
-
-2008-09-05 Fix hatching in PS backend - MGD
-
-2008-09-03 Fix log with base 2 - MGD
-
-2008-09-01 Added support for bilinear interpolation in
-           NonUniformImage; patch by Gregory Lielens. - EF
-
-2008-08-28 Added support for multiple histograms with data of
-           different length - MM
-
-2008-08-28 Fix step plots with log scale - MGD
-
-2008-08-28 Fix masked arrays with markers in non-Agg backends - MGD
-
-2008-08-28 Fix clip_on kwarg so it actually works correctly - MGD
-
-2008-08-25 Fix locale problems in SVG backend - MGD
-
-2008-08-22 fix quiver so masked values are not plotted - JSW
-
-2008-08-18 improve interactive pan/zoom in qt4 backend on windows - DSD
-
-2008-08-11 Fix more bugs in NaN/inf handling.  In particular, path simplification
-           (which does not handle NaNs or infs) will be turned off automatically
-           when infs or NaNs are present.  Also masked arrays are now converted
-           to arrays with NaNs for consistent handling of masks and NaNs
-            - MGD and EF
-
-=================================================================
-2008-08-03 Released 0.98.3 at svn r5947
-
-2008-08-01 Backported memory leak fixes in _ttconv.cpp - MGD
-
-2008-07-31 Added masked array support to griddata. - JSW
-
-2008-07-26 Added optional C and reduce_C_function arguments to
-           axes.hexbin().  This allows hexbin to accumulate the values
-           of C based on the x,y coordinates and display in hexagonal
-           bins. - ADS
-
-2008-07-24 Deprecated (raise NotImplementedError) all the mlab2
-           functions from matplotlib.mlab out of concern that some of
-           them were not clean room implementations. JDH
-
-2008-07-24 Rewrite of a significant portion of the clabel code (class
-           ContourLabeler) to improve inlining. - DMK
-
-2008-07-22 Added Barbs polygon collection (similar to Quiver) for plotting
-           wind barbs.  Added corresponding helpers to Axes and pyplot as
-           well. (examples/pylab_examples/barb_demo.py shows it off.) - RMM
-
-2008-07-21 Added scikits.delaunay as matplotlib.delaunay.  Added griddata
-           function in matplotlib.mlab, with example (griddata_demo.py) in
-           pylab_examples. griddata function will use mpl_toolkits._natgrid
-           if installed.  - JSW
-
-2008-07-21 Re-introduced offset_copy that works in the context of the
-           new transforms. - MGD
-
-2008-07-21 Committed patch by Ryan May to add get_offsets and
-           set_offsets to Collections base class - EF
-
-2008-07-21 Changed the "asarray" strategy in image.py so that
-           colormapping of masked input should work for all
-           image types (thanks Klaus Zimmerman) - EF
-
-2008-07-20 Rewrote cbook.delete_masked_points and corresponding
-           unit test to support rgb color array inputs, datetime
-           inputs, etc. - EF
-
-2008-07-20 Renamed unit/axes_unit.py to cbook_unit.py and modified
-           in accord with Ryan's move of delete_masked_points from
-           axes to cbook. - EF
-
-2008-07-18 Check for nan and inf in axes.delete_masked_points().
-           This should help hexbin and scatter deal with nans. - ADS
-
-2008-07-17 Added ability to manually select contour label locations.
-           Also added a waitforbuttonpress function. - DMK
-
-2008-07-17 Fix bug with NaNs at end of path (thanks, Andrew Straw for
-           the report) - MGD
-
-2008-07-16 Improve error handling in texmanager, thanks to Ian Henry
-           for reporting - DSD
-
-2008-07-12 Added support for external backends with the
-           "module://my_backend" syntax - JDH
-
-2008-07-11 Fix memory leak related to shared axes.  Grouper should
-           store weak references. - MGD
-
-2008-07-10 Bugfix: crash displaying fontconfig pattern - MGD
-
-2008-07-10 Bugfix: [ 2013963 ] update_datalim_bounds in Axes not works - MGD
-
-2008-07-10 Bugfix: [ 2014183 ] multiple imshow() causes gray edges - MGD
-
-2008-07-09 Fix rectangular axes patch on polar plots bug - MGD
-
-2008-07-09 Improve mathtext radical rendering - MGD
-
-2008-07-08 Improve mathtext superscript placement - MGD
-
-2008-07-07 Fix custom scales in pcolormesh (thanks Matthew Turk) - MGD
-
-2008-07-03 Implemented findobj method for artist and pyplot - see
-           examples/pylab_examples/findobj_demo.py - JDH
-
-2008-06-30 Another attempt to fix TextWithDash - DSD
-
-2008-06-30 Removed Qt4 NavigationToolbar2.destroy -- it appears to
-           have been unnecessary and caused a bug reported by P.
-           Raybaut - DSD
-
-2008-06-27 Fixed tick positioning bug - MM
-
-2008-06-27 Fix dashed text bug where text was at the wrong end of the
-           dash - MGD
-
-2008-06-26 Fix mathtext bug for expressions like $x_{\leftarrow}$ - MGD
-
-2008-06-26 Fix direction of horizontal/vertical hatches - MGD
-
-2008-06-25 Figure.figurePatch renamed Figure.patch, Axes.axesPatch
-           renamed Axes.patch, Axes.axesFrame renamed Axes.frame,
-           Axes.get_frame, which returns Axes.patch, is deprecated.
-           Examples and users guide updated - JDH
-
-2008-06-25 Fix rendering quality of pcolor - MGD
-
-=================================================================
-2008-06-24 Released 0.98.2 at svn r5667 - (source only for debian) JDH
-
-2008-06-24 Added "transparent" kwarg to savefig. - MGD
-
-2008-06-24 Applied Stefan's patch to draw a single centered marker over
-           a line with numpoints==1 - JDH
-
-2008-06-23 Use splines to render circles in scatter plots - MGD
-
-===============================================================
-2008-06-22 Released 0.98.1 at revision 5637
-
-2008-06-22 Removed axes3d support and replaced it with a
-           NotImplementedError for one release cycle
-
-2008-06-21 fix marker placement bug in backend_ps - DSD
-
-2008-06-20 [ 1978629 ] scale documentation missing/incorrect for log - MGD
-
-2008-06-20 Added closed kwarg to PolyCollection.  Fixes bug [ 1994535
-           ] still missing lines on graph with svn (r 5548). - MGD
-
-2008-06-20 Added set/get_closed method to Polygon; fixes error
-           in hist - MM
-
-2008-06-19 Use relative font sizes (e.g., 'medium' and 'large') in
-           rcsetup.py and matplotlibrc.template so that text will
-           be scaled by default when changing rcParams['font.size'] -
-           EF
-
-2008-06-17 Add a generic PatchCollection class that can contain any
-           kind of patch. - MGD
-
-2008-06-13 Change pie chart label alignment to avoid having labels
-           overwrite the pie - MGD
-
-2008-06-12 Added some helper functions to the mathtext parser to
-           return bitmap arrays or write pngs to make it easier to use
-           mathtext outside the context of an mpl figure.  modified
-           the mathpng sphinxext to use the mathtext png save
-           functionality - see examples/api/mathtext_asarray.py - JDH
-
-2008-06-11 Use matplotlib.mathtext to render math expressions in
-           online docs - MGD
-
-2008-06-11 Move PNG loading/saving to its own extension module, and
-           remove duplicate code in _backend_agg.cpp and _image.cpp
-           that does the same thing - MGD
-
-2008-06-11 Numerous mathtext bugfixes, primarily related to
-           dpi-independence - MGD
-
-2008-06-10 Bar now applies the label only to the first patch only, and
-           sets '_nolegend_' for the other patch labels.  This lets
-           autolegend work as expected for hist and bar - see
-           https://sourceforge.net/tracker/index.php?func=detail&aid=1986597&group_id=80706&atid=560720
-           JDH
-
-2008-06-10 Fix text baseline alignment bug.  [ 1985420 ] Repair of
-           baseline alignment in Text._get_layout.  Thanks Stan West -
-           MGD
-
-2008-06-09 Committed Gregor's image resample patch to downsampling
-           images with new rcparam image.resample - JDH
-
-2008-06-09 Don't install Enthought.Traits along with matplotlib. For
-           matplotlib developers convenience, it can still be
-           installed by setting an option in setup.cfg while we figure
-           decide if there is a future for the traited config - DSD
-
-2008-06-09 Added range keyword arg to hist() - MM
-
-2008-06-07 Moved list of backends to rcsetup.py; made use of lower
-           case for backend names consistent; use validate_backend
-           when importing backends subpackage - EF
-
-2008-06-06 hist() revision, applied ideas proposed by Erik Tollerud and
-           Olle Engdegard: make histtype='step' unfilled by default
-           and introduce histtype='stepfilled'; use default color
-           cycle; introduce reverse cumulative histogram; new align
-           keyword - MM
-
-2008-06-06 Fix closed polygon patch and also provide the option to
-           not close the polygon - MGD
-
-2008-06-05 Fix some dpi-changing-related problems with PolyCollection,
-           as called by Axes.scatter() - MGD
-
-2008-06-05 Fix image drawing so there is no extra space to the right
-           or bottom - MGD
-
-2006-06-04 Added a figure title command suptitle as a Figure method
-           and pyplot command -- see examples/figure_title.py - JDH
-
-2008-06-02 Added support for log to hist with histtype='step' and fixed
-           a bug for log-scale stacked histograms - MM
-
-===============================================================
-2008-05-29 Released 0.98.0 at revision 5314
-
-2008-05-29 matplotlib.image.imread now no longer always returns RGBA
-           -- if the image is luminance or RGB, it will return a MxN
-           or MxNx3 array if possible.  Also uint8 is no longer always
-           forced to float.
-
-2008-05-29 Implement path clipping in PS backend - JDH
-
-2008-05-29 Fixed two bugs in texmanager.py:
-               improved comparison of dvipng versions
-               fixed a bug introduced when get_grey method was added
-           - DSD
-
-2008-05-28 Fix crashing of PDFs in xpdf and ghostscript when two-byte
-           characters are used with Type 3 fonts - MGD
-
-2008-05-28 Allow keyword args to configure widget properties as
-           requested in
-           http://sourceforge.net/tracker/index.php?func=detail&aid=1866207&group_id=80706&atid=560722
-           - JDH
-
-2008-05-28 Replaced '-' with u'\u2212' for minus sign as requested in
-           http://sourceforge.net/tracker/index.php?func=detail&aid=1962574&group_id=80706&atid=560720
-
-2008-05-28 zero width/height Rectangles no longer influence the
-           autoscaler.  Useful for log histograms with empty bins -
-           JDH
-
-2008-05-28 Fix rendering of composite glyphs in Type 3 conversion
-           (particularly as evidenced in the Eunjin.ttf Korean font)
-           Thanks Jae-Joon Lee for finding this!
-
-2008-05-27 Rewrote the cm.ScalarMappable callback infrastructure to
-           use cbook.CallbackRegistry rather than custom callback
-           handling.  Amy users of add_observer/notify of the
-           cm.ScalarMappable should uae the
-           cm.ScalarMappable.callbacksSM CallbackRegistry instead. JDH
-
-2008-05-27 Fix TkAgg build on Ubuntu 8.04 (and hopefully a more
-           general solution for other platforms, too.)
-
-2008-05-24 Added PIL support for loading images to imread (if PIL is
-           available) - JDH
-
-2008-05-23 Provided a function and a method for controlling the
-           plot color cycle. - EF
-
-2008-05-23 Major revision of hist(). Can handle 2D arrays and create
-           stacked histogram plots; keyword 'width' deprecated and
-           rwidth (relative width) introduced; align='edge' changed
-           to center of bin - MM
-
-2008-05-22 Added support for ReST-based doumentation using Sphinx.
-           Documents are located in doc/, and are broken up into
-           a users guide and an API reference. To build, run the
-           make.py files. Sphinx-0.4 is needed to build generate xml,
-           which will be useful for rendering equations with mathml,
-           use sphinx from svn until 0.4 is released - DSD
-
-2008-05-21 Fix segfault in TkAgg backend - MGD
-
-2008-05-21 Fix a "local variable unreferenced" bug in plotfile - MM
-
-2008-05-19 Fix crash when Windows can not access the registry to
-           determine font path [Bug 1966974, thanks Patrik Simons] - MGD
-
-2008-05-16 removed some unneeded code w/ the python 2.4 requirement.
-           cbook no longer provides compatibility for reversed,
-           enumerate, set or izip.  removed lib/subprocess, mpl1,
-           sandbox/units, and the swig code.  This stuff should remain
-           on the maintenance branch for archival purposes. JDH
-
-2008-05-16 Reorganized examples dir - JDH
-
-2008-05-16 Added 'elinewidth' keyword arg to errorbar, based on patch
-           by Christopher Brown - MM
-
-2008-05-16 Added 'cumulative' keyword arg to hist to plot cumulative
-           histograms. For normed hists, this is normalized to one - MM
-
-2008-05-15 Fix Tk backend segfault on some machines - MGD
-
-2008-05-14 Don't use stat on Windows (fixes font embedding problem) - MGD
-
-2008-05-09 Fix /singlequote (') in Postscript backend - MGD
-
-2008-05-08 Fix kerning in SVG when embedding character outlines - MGD
-
-2008-05-07 Switched to future numpy histogram semantic in hist - MM
-
-2008-05-06 Fix strange colors when blitting in QtAgg and Qt4Agg - MGD
-
-2008-05-05 pass notify_axes_change to the figure's add_axobserver
-           in the qt backends, like we do for the other backends.
-           Thanks Glenn Jones for the report - DSD
-
-2008-05-02 Added step histograms, based on patch by Erik Tollerud. - MM
-
-2008-05-02 On PyQt <= 3.14 there is no way to determine the underlying
-           Qt version. [1851364] - MGD
-
-2008-05-02 Don't call sys.exit() when pyemf is not found [1924199] -
-           MGD
-
-2008-05-02 Update _subprocess.c from upstream Python 2.5.2 to get a
-           few memory and reference-counting-related bugfixes.  See
-           bug 1949978. - MGD
-
-2008-04-30 Added some record array editing widgets for gtk -- see
-           examples/rec_edit*.py - JDH
-
-2008-04-29 Fix bug in mlab.sqrtm - MM
-
-2008-04-28 Fix bug in SVG text with Mozilla-based viewers (the symbol
-           tag is not supported) - MGD
-
-2008-04-27 Applied patch by Michiel de Hoon to add hexbin
-           axes method and pyplot function - EF
-
-2008-04-25 Enforce python >= 2.4; remove subprocess build - EF
-
-2008-04-25 Enforce the numpy requirement at build time - JDH
-
-2008-04-24 Make numpy 1.1 and python 2.3 required when importing
-           matplotlib - EF
-
-2008-04-24 Fix compilation issues on VS2003 (Thanks Martin Spacek for
-           all the help) - MGD
-
-2008-04-24 Fix sub/superscripts when the size of the font has been
-           changed - MGD
-
-2008-04-22 Use "svg.embed_char_paths" consistently everywhere - MGD
-
-2008-04-20 Add support to MaxNLocator for symmetric axis autoscaling. - EF
-
-2008-04-20 Fix double-zoom bug. - MM
-
-2008-04-15 Speed up color mapping. - EF
-
-2008-04-12 Speed up zooming and panning of dense images. - EF
-
-2008-04-11 Fix global font rcParam setting after initialization
-           time. - MGD
-
-2008-04-11 Revert commits 5002 and 5031, which were intended to
-           avoid an unnecessary call to draw(). 5002 broke saving
-           figures before show(). 5031 fixed the problem created in
-           5002, but broke interactive plotting. Unnecessary call to
-           draw still needs resolution - DSD
-
-2008-04-07 Improve color validation in rc handling, suggested
-           by Lev Givon - EF
-
-2008-04-02 Allow to use both linestyle definition arguments, '-' and
-           'solid' etc. in plots/collections - MM
-
-2008-03-27 Fix saving to Unicode filenames with Agg backend
-           (other backends appear to already work...)
-           (Thanks, Christopher Barker) - MGD
-
-2008-03-26 Fix SVG backend bug that prevents copying and pasting in
-           Inkscape (thanks Kaushik Ghose) - MGD
-
-2008-03-24 Removed an unnecessary call to draw() in the backend_qt*
-           mouseReleaseEvent. Thanks to Ted Drain - DSD
-
-2008-03-23 Fix a pdf backend bug which sometimes caused the outermost
-           gsave to not be balanced with a grestore. - JKS
-
-2008-03-20 Fixed a minor bug in ContourSet._process_linestyles when
-           len(linestyles)==Nlev - MM
-
-2008-03-19 Changed ma import statements to "from numpy import ma";
-           this should work with past and future versions of
-           numpy, whereas "import numpy.ma as ma" will work only
-           with numpy >= 1.05, and "import numerix.npyma as ma"
-           is obsolete now that maskedarray is replacing the
-           earlier implementation, as of numpy 1.05.
-
-2008-03-14 Removed an apparently unnecessary call to
-           FigureCanvasAgg.draw in backend_qt*agg. Thanks to Ted
-           Drain - DSD
-
-2008-03-10 Workaround a bug in backend_qt4agg's blitting due to a
-           buffer width/bbox width mismatch in _backend_agg's
-           copy_from_bbox - DSD
-
-2008-02-29 Fix class Wx toolbar pan and zoom functions (Thanks Jeff
-           Peery) - MGD
-
-2008-02-16 Added some new rec array functionality to mlab
-           (rec_summarize, rec2txt and rec_groupby).  See
-           examples/rec_groupby_demo.py.  Thanks to Tim M for rec2txt.
-
-2008-02-12 Applied Erik Tollerud's span selector patch - JDH
-
-2008-02-11 Update plotting() doc string to refer to getp/setp. - JKS
-
-2008-02-10 Fixed a problem with square roots in the pdf backend with
-           usetex. - JKS
-
-2008-02-08 Fixed minor __str__ bugs so getp(gca()) works. - JKS
-
-2008-02-05 Added getters for title, xlabel, ylabel, as requested
-           by Brandon Kieth - EF
-
-2008-02-05 Applied Gael's ginput patch and created
-           examples/ginput_demo.py - JDH
-
-2008-02-03 Expose interpnames, a list of valid interpolation
-           methods, as an AxesImage class attribute. - EF
-
-2008-02-03 Added BoundaryNorm, with examples in colorbar_only.py
-           and image_masked.py. - EF
-
-2008-02-03 Force dpi=72 in pdf backend to fix picture size bug. - JKS
-
-2008-02-01 Fix doubly-included font problem in Postscript backend - MGD
-
-2008-02-01 Fix reference leak in ft2font Glyph objects. - MGD
-
-2008-01-31 Don't use unicode strings with usetex by default - DSD
-
-2008-01-31 Fix text spacing problems in PDF backend with *some* fonts,
-           such as STIXGeneral.
-
-2008-01-31 Fix \sqrt with radical number (broken by making [ and ]
-           work below) - MGD
-
-2008-01-27 Applied  Martin Teichmann's patch to improve the Qt4
-           backend. Uses Qt's builtin toolbars and statusbars.
-           See bug 1828848 - DSD
-
-2008-01-10 Moved toolkits to mpl_toolkits, made mpl_toolkits
-           a namespace package - JSWHIT
-
-2008-01-10 Use setup.cfg to set the default parameters (tkagg,
-           numpy) when building windows installers - DSD
-
-2008-01-10 Fix bug displaying [ and ] in mathtext - MGD
-
-2008-01-10 Fix bug when displaying a tick value offset with scientific
-           notation. (Manifests itself as a warning that the \times
-           symbol can not be found). - MGD
-
-2008-01-10 Use setup.cfg to set the default parameters (tkagg,
-           numpy) when building windows installers - DSD
-
-===============================================================
-2008-01-06 Released 0.91.2 at revision 4802
-
-2007-12-26 Reduce too-late use of matplotlib.use() to a warning
-           instead of an exception, for backwards compatibility - EF
-
-2007-12-25 Fix bug in errorbar, identified by Noriko Minakawa - EF
-
-2007-12-25 Changed masked array importing to work with the upcoming
-           numpy 1.05 (now the maskedarray branch) as well as with
-           earlier versions. - EF
-
-2007-12-16 rec2csv saves doubles without losing precision. Also, it
-           does not close filehandles passed in open. - JDH,ADS
-
-2007-12-13 Moved rec2gtk to matplotlib.toolkits.gtktools and rec2excel
-           to matplotlib.toolkits.exceltools - JDH
-
-2007-12-12 Support alpha-blended text in the Agg and Svg backends -
-           MGD
-
-2007-12-10 Fix SVG text rendering bug. - MGD
-
-2007-12-10 Increase accuracy of circle and ellipse drawing by using an
-           8-piece bezier approximation, rather than a 4-piece one.
-           Fix PDF, SVG and Cairo backends so they can draw paths
-           (meaning ellipses as well). - MGD
-
-2007-12-07 Issue a warning when drawing an image on a non-linear axis. - MGD
-
-2007-12-06 let widgets.Cursor initialize to the lower x and y bounds
-           rather than 0,0, which can cause havoc for dates and other
-           transforms - DSD
-
-2007-12-06 updated references to mpl data directories for py2exe - DSD
-
-2007-12-06 fixed a bug in rcsetup, see bug 1845057 - DSD
-
-2007-12-05 Fix how fonts are cached to avoid loading the same one multiple times.
-           (This was a regression since 0.90 caused by the refactoring of
-           font_manager.py) - MGD
-
-2007-12-05 Support arbitrary rotation of usetex text in Agg backend. - MGD
-
-2007-12-04 Support '|' as a character in mathtext - MGD
-
-===============================================================
-2007-11-27 Released 0.91.1 at revision 4517
-
-===============================================================
-2007-11-27 Released 0.91.0 at revision 4478
-
-2007-11-13 All backends now support writing to a file-like object, not
-           just a regular file.  savefig() can be passed a file-like
-           object in place of a file path. - MGD
-
-2007-11-13 Improved the default backend selection at build time:
-           SVG -> Agg -> TkAgg -> WXAgg -> GTK -> GTKAgg. The last usable
-           backend in this progression will be chosen in the default
-           config file. If a backend is defined in setup.cfg, that will
-           be the default backend - DSD
-
-2007-11-13 Improved creation of default config files at build time for
-           traited config package - DSD
-
-2007-11-12 Exposed all the build options in setup.cfg. These options are
-           read into a dict called "options" by setupext.py. Also, added
-           "-mpl" tags to the version strings for packages provided by
-           matplotlib. Versions provided by mpl will be identified and
-           updated on subsequent installs - DSD
-
-2007-11-12 Added support for STIX fonts.  A new rcParam,
-           mathtext.fontset, can be used to choose between:
-
-           'cm':
-             The TeX/LaTeX Computer Modern fonts
-
-           'stix':
-             The STIX fonts (see stixfonts.org)
-
-           'stixsans':
-             The STIX fonts, using sans-serif glyphs by default
-
-           'custom':
-             A generic Unicode font, in which case the mathtext font
-             must be specified using mathtext.bf, mathtext.it,
-             mathtext.sf etc.
-
-           Added a new example, stix_fonts_demo.py to show how to access
-           different fonts and unusual symbols.
-
-           - MGD
-
-2007-11-12 Options to disable building backend extension modules moved
-           from setup.py to setup.cfg - DSD
-
-2007-11-09 Applied Martin Teichmann's patch 1828813: a QPainter is used in
-           paintEvent, which has to be destroyed using  the method end(). If
-           matplotlib raises an exception before the call to end - and it
-           does if you feed it with bad data - this method end() is never
-           called and Qt4 will start spitting error messages
-
-2007-11-09 Moved pyparsing back into matplotlib namespace. Don't use
-           system pyparsing, API is too variable from one release
-           to the next - DSD
-
-2007-11-08 Made pylab use straight numpy instead of oldnumeric
-           by default - EF
-
-2007-11-08 Added additional record array utilites to mlab (rec2excel,
-           rec2gtk, rec_join, rec_append_field, rec_drop_field) - JDH
-
-2007-11-08 Updated pytz to version 2007g - DSD
-
-2007-11-08 Updated pyparsing to version 1.4.8 - DSD
-
-2007-11-08 Moved csv2rec to recutils and added other record array
-           utilities - JDH
-
-2007-11-08 If available, use existing pyparsing installation - DSD
-
-2007-11-07 Removed old enthought.traits from lib/matplotlib, added
-           Gael Varoquaux's enthought.traits-2.6b1, which is stripped
-           of setuptools. The package is installed to site-packages
-           if not already available - DSD
-
-2007-11-05 Added easy access to minor tick properties; slight mod
-           of patch by Pierre G-M - EF
-
-2007-11-02 Commited Phil Thompson's patch 1599876, fixes to Qt4Agg
-           backend and qt4 blitting demo - DSD
-
-2007-11-02 Commited Phil Thompson's patch 1599876, fixes to Qt4Agg
-           backend and qt4 blitting demo - DSD
-
-2007-10-31 Made log color scale easier to use with contourf;
-           automatic level generation now works. - EF
-
-2007-10-29 TRANSFORMS REFACTORING
-
-           The primary goal of this refactoring was to make it easier
-           to extend matplotlib to support new kinds of projections.
-           This is primarily an internal improvement, and the possible
-           user-visible changes it allows are yet to come.
-
-           The transformation framework was completely rewritten in
-           Python (with Numpy).  This will make it easier to add news
-           kinds of transformations without writing C/C++ code.
-
-           Transforms are composed into a 'transform tree', made of
-           transforms whose value depends on other transforms (their
-           children).  When the contents of children change, their
-           parents are automatically updated to reflect those changes.
-           To do this an "invalidation" method is used: when children
-           change, all of their ancestors are marked as "invalid".
-           When the value of a transform is accessed at a later time,
-           its value is recomputed only if it is invalid, otherwise a
-           cached value may be used.  This prevents unnecessary
-           recomputations of transforms, and contributes to better
-           interactive performance.
-
-           The framework can be used for both affine and non-affine
-           transformations.  However, for speed, we want use the
-           backend renderers to perform affine transformations
-           whenever possible.  Therefore, it is possible to perform
-           just the affine or non-affine part of a transformation on a
-           set of data.  The affine is always assumed to occur after
-           the non-affine.  For any transform:
-
-                full transform == non-affine + affine
-
-           Much of the drawing has been refactored in terms of
-           compound paths.  Therefore, many methods have been removed
-           from the backend interface and replaced with a a handful to
-           draw compound paths.  This will make updating the backends
-           easier, since there is less to update.  It also should make
-           the backends more consistent in terms of functionality.
-
-           User visible changes:
-
-           - POLAR PLOTS: Polar plots are now interactively zoomable,
-             and the r-axis labels can be interactively rotated.
-             Straight line segments are now interpolated to follow the
-             curve of the r-axis.
-
-           - Non-rectangular clipping works in more backends and with
-             more types of objects.
-
-           - Sharing an axis across figures is now done in exactly
-             the same way as sharing an axis between two axes in the
-             same figure:
-
-                      fig1 = figure()
-                   fig2 = figure()
-
-                   ax1 = fig1.add_subplot(111)
-                   ax2 = fig2.add_subplot(111, sharex=ax1, sharey=ax1)
-
-           - linestyles now include steps-pre, steps-post and
-             steps-mid.  The old step still works and is equivalent to
-             step-pre.
-
-           - Multiple line styles may be provided to a collection.
-
-           See API_CHANGES for more low-level information about this
-           refactoring.
-
-2007-10-24 Added ax kwarg to Figure.colorbar and pyplot.colorbar - EF
-
-2007-10-19 Removed a gsave/grestore pair surrounding _draw_ps, which
-           was causing a loss graphics state info (see "EPS output
-           problem - scatter & edgecolors" on mpl-dev, 2007-10-29)
-           - DSD
-
-2007-10-15 Fixed a bug in patches.Ellipse that was broken for
-           aspect='auto'.  Scale free ellipses now work properly for
-           equal and auto on Agg and PS, and they fall back on a
-           polygonal approximation for nonlinear transformations until
-           we convince oursleves that the spline approximation holds
-           for nonlinear transformations. Added
-           unit/ellipse_compare.py to compare spline with vertex
-           approx for both aspects. JDH
-
-2007-10-05 remove generator expressions from texmanager and mpltraits.
-           generator expressions are not supported by python-2.3 - DSD
-
-2007-10-01 Made matplotlib.use() raise an exception if called after
-           backends has been imported. - EF
-
-2007-09-30 Modified update* methods of Bbox and Interval so they
-           work with reversed axes.  Prior to this, trying to
-           set the ticks on a reversed axis failed with an
-           uninformative error message. - EF
-
-2007-09-30 Applied patches to axes3d to fix index error problem - EF
-
-2007-09-24 Applied Eike Welk's patch reported on mpl-dev on 2007-09-22
-           Fixes a bug with multiple plot windows in the qt backend,
-           ported the changes to backend_qt4 as well - DSD
-
-2007-09-21 Changed cbook.reversed to yield the same result as the
-           python reversed builtin - DSD
-
-2007-09-13 The usetex support in the pdf backend is more usable now,
-           so I am enabling it. - JKS
-
-2007-09-12 Fixed a Axes.bar unit bug - JDH
-
-2007-09-10 Made skiprows=1 the default on csv2rec - JDH
-
-2007-09-09 Split out the plotting part of pylab and put it in
-           pyplot.py; removed numerix from the remaining pylab.py,
-           which imports everything from pyplot.py.  The intention
-           is that apart from cleanups, the result of importing
-           from pylab is nearly unchanged, but there is the
-           new alternative of importing from pyplot to get
-           the state-engine graphics without all the numeric
-           functions.
-           Numpified examples; deleted two that were obsolete;
-           modified some to use pyplot. - EF
-
-2007-09-08 Eliminated gd and paint backends - EF
-
-2007-09-06 .bmp file format is now longer an alias for .raw
-
-2007-09-07 Added clip path support to pdf backend. - JKS
-
-2007-09-06 Fixed a bug in the embedding of Type 1 fonts in PDF.
-           Now it doesn't crash Preview.app. - JKS
-
-2007-09-06 Refactored image saving code so that all GUI backends can
-           save most image types.  See FILETYPES for a matrix of
-           backends and their supported file types.
-           Backend canvases should no longer write their own print_figure()
-           method -- instead they should write a print_xxx method for
-           each filetype they can output and add an entry to their
-           class-scoped filetypes dictionary. - MGD
-
-2007-09-05 Fixed Qt version reporting in setupext.py - DSD
-
-2007-09-04 Embedding Type 1 fonts in PDF, and thus usetex support
-           via dviread, sort of works. To test, enable it by
-           renaming _draw_tex to draw_tex. - JKS
-
-2007-09-03 Added ability of errorbar show limits via caret or
-           arrowhead ends on the bars; patch by Manual Metz. - EF
-
-2007-09-03 Created type1font.py, added features to AFM and FT2Font
-           (see API_CHANGES), started work on embedding Type 1 fonts
-           in pdf files. - JKS
-
-2007-09-02 Continued work on dviread.py. - JKS
-
-2007-08-16 Added a set_extent method to AxesImage, allow data extent
-           to be modified after initial call to imshow - DSD
-
-2007-08-14 Fixed a bug in pyqt4 subplots-adjust. Thanks to
-           Xavier Gnata for the report and suggested fix - DSD
-
-2007-08-13 Use pickle to cache entire fontManager; change to using
-            font_manager module-level function findfont wrapper for
-            the fontManager.findfont method - EF
-
-2007-08-11 Numpification and cleanup of mlab.py and some examples - EF
-
-2007-08-06 Removed mathtext2
-
-2007-07-31 Refactoring of distutils scripts.
-           - Will not fail on the entire build if an optional Python
-             package (e.g., Tkinter) is installed but its development
-             headers are not (e.g., tk-devel).  Instead, it will
-             continue to build all other extensions.
-           - Provide an overview at the top of the output to display
-             what dependencies and their versions were found, and (by
-             extension) what will be built.
-           - Use pkg-config, when available, to find freetype2, since
-             this was broken on Mac OS-X when using MacPorts in a non-
-             standard location.
-
-2007-07-30 Reorganized configuration code to work with traited config
-           objects. The new config system is located in the
-           matplotlib.config package, but it is disabled by default.
-           To enable it, set NEWCONFIG=True in matplotlib.__init__.py.
-           The new configuration system will still use the old
-           matplotlibrc files by default. To switch to the experimental,
-           traited configuration, set USE_TRAITED_CONFIG=True in
-           config.__init__.py.
-
-2007-07-29 Changed default pcolor shading to flat; added aliases
-           to make collection kwargs agree with setter names, so
-           updating works; related minor cleanups.
-           Removed quiver_classic, scatter_classic, pcolor_classic. - EF
-
-2007-07-26 Major rewrite of mathtext.py, using the TeX box layout model.
-
-           There is one (known) backward incompatible change.  The
-           font commands (\cal, \rm, \it, \tt) now behave as TeX does:
-           they are in effect until the next font change command or
-           the end of the grouping.  Therefore uses of $\cal{R}$
-           should be changed to ${\cal R}$.  Alternatively, you may
-           use the new LaTeX-style font commands (\mathcal, \mathrm,
-           \mathit, \mathtt) which do affect the following group,
-           e.g., $\mathcal{R}$.
-
-           Other new features include:
-
-           - Math may be interspersed with non-math text.  Any text
-             with an even number of $'s (non-escaped) will be sent to
-             the mathtext parser for layout.
-
-           - Sub/superscripts are less likely to accidentally overlap.
-
-           - Support for sub/superscripts in either order, e.g., $x^i_j$
-             and $x_j^i$ are equivalent.
-
-           - Double sub/superscripts (e.g., $x_i_j$) are considered
-             ambiguous and raise an exception.  Use braces to disambiguate.
-
-           - $\frac{x}{y}$ can be used for displaying fractions.
-
-           - $\sqrt[3]{x}$ can be used to display the radical symbol
-             with a root number and body.
-
-           - $\left(\frac{x}{y}\right)$ may be used to create
-             parentheses and other delimiters that automatically
-             resize to the height of their contents.
-
-           - Spacing around operators etc. is now generally more like
-             TeX.
-
-           - Added support (and fonts) for boldface (\bf) and
-             sans-serif (\sf) symbols.
-
-           - Log-like function name shortcuts are supported.  For
-             example, $\sin(x)$ may be used instead of ${\rm sin}(x)$
-
-           - Limited use of kerning for the easy case (same font)
-
-           Behind the scenes, the pyparsing.py module used for doing
-           the math parsing was updated to the latest stable version
-           (1.4.6).  A lot of duplicate code was refactored out of the
-           Font classes.
-
-           - MGD
-
-2007-07-19 completed numpification of most trivial cases - NN
-
-2007-07-19 converted non-numpy relicts throughout the code - NN
-
-2007-07-19 replaced the Python code in numerix/ by a minimal wrapper around
-           numpy that explicitly mentions all symbols that need to be
-           addressed for further numpification - NN
-
-2007-07-18 make usetex respect changes to rcParams. texmanager used to
-           only configure itself when it was created, now it
-           reconfigures when rcParams are changed. Thank you Alexander
-           Schmolck for contributing a patch - DSD
-
-2007-07-17 added validation to setting and changing rcParams - DSD
-
-2007-07-17 bugfix segfault in transforms module. Thanks Ben North for
-           the patch. - ADS
-
-2007-07-16 clean up some code in ticker.ScalarFormatter, use unicode to
-           render multiplication sign in offset ticklabel - DSD
-
-2007-07-16 fixed a formatting bug in ticker.ScalarFormatter's scientific
-           notation (10^0 was being rendered as 10 in some cases) - DSD
-
-2007-07-13 Add MPL_isfinite64() and MPL_isinf64() for testing
-           doubles in (the now misnamed) MPL_isnan.h. - ADS
-
-2007-07-13 The matplotlib._isnan module removed (use numpy.isnan) - ADS
-
-2007-07-13 Some minor cleanups in _transforms.cpp - ADS
-
-2007-07-13 Removed the rest of the numerix extension code detritus,
-           numpified axes.py, and cleaned up the imports in axes.py
-           - JDH
-
-2007-07-13 Added legend.loc as configurable option that could in
-           future default to 'best'. - NN
-
-2007-07-12 Bugfixes in mlab.py to coerce inputs into numpy arrays. -ADS
-
-2007-07-11 Added linespacing kwarg to text.Text - EF
-
-2007-07-11 Added code to store font paths in SVG files. - MGD
-
-2007-07-10 Store subset of TTF font as a Type 3 font in PDF files. - MGD
-
-2007-07-09 Store subset of TTF font as a Type 3 font in PS files. - MGD
-
-2007-07-09 Applied Paul's pick restructure pick and add pickers,
-           sourceforge patch 1749829 - JDH
-
-
-2007-07-09 Applied Allan's draw_lines agg optimization. JDH
-
-
-2007-07-08 Applied Carl Worth's patch to fix cairo draw_arc - SC
-
-2007-07-07 fixed bug 1712099: xpdf distiller on windows - DSD
-
-2007-06-30 Applied patches to tkagg, gtk, and wx backends to reduce
-           memory leakage.  Patches supplied by Mike Droettboom;
-           see tracker numbers 1745400, 1745406, 1745408.
-           Also made unit/memleak_gui.py more flexible with
-           command-line options. - EF
-
-2007-06-30 Split defaultParams into separate file rcdefaults (together with
-           validation code). Some heavy refactoring was necessary to do so,
-           but the overall behavior should be the same as before. - NN
-
-2007-06-27 Added MPLCONFIGDIR for the default location for mpl data
-           and configuration.  useful for some apache installs where
-           HOME is not writable.  Tried to clean up the logic in
-           _get_config_dir to support non-writable HOME where are
-           writable HOME/.matplotlib already exists - JDH
-
-2007-06-27 Fixed locale bug reported at
-           http://sourceforge.net/tracker/index.php?func=detail&aid=1744154&group_id=80706&atid=560720
-           by adding a cbook.unicode_safe function - JDH
-
-2007-06-27 Applied Micheal's tk savefig bugfix described at
-           http://sourceforge.net/tracker/index.php?func=detail&aid=1716732&group_id=80706&atid=560720
-           Thanks Michael!
-
-
-2007-06-27 Patch for get_py2exe_datafiles() to work with new directory
-           layout. (Thanks Tocer and also Werner Bruhin.) -ADS
-
-
-2007-06-27 Added a scroll event to the mpl event handling system and
-           implemented it for backends GTK* -- other backend
-           users/developers/maintainers, please add support for your
-           backend. - JDH
-
-2007-06-25 Changed default to clip=False in colors.Normalize;
-           modified ColorbarBase for easier colormap display - EF
-
-2007-06-13 Added maskedarray option to rc, numerix - EF
-
-2007-06-11 Python 2.5 compatibility fix for mlab.py - EF
-
-2007-06-10 In matplotlibrc file, use 'dashed' | 'solid' instead
-           of a pair of floats for contour.negative_linestyle - EF
-
-2007-06-08 Allow plot and fill fmt string to be any mpl string
-            colorspec - EF
-
-2007-06-08 Added gnuplot file plotfile function to pylab -- see
-           examples/plotfile_demo.py - JDH
-
-2007-06-07 Disable build of numarray and Numeric extensions for
-           internal MPL use and the numerix layer. - ADS
-
-2007-06-07 Added csv2rec to matplotlib.mlab to support automatically
-           converting csv files to record arrays using type
-           introspection, and turned on native datetime support using
-           the new units support in matplotlib.dates.  See
-           examples/loadrec.py !  JDH
-
-2007-06-07 Simplified internal code of _auto_legend_data - NN
-
-2007-06-04 Added labeldistance arg to Axes.pie to control the raidal
-           distance of the wedge labels - JDH
-
-2007-06-03 Turned mathtext in SVG into single <text> with multiple <tspan>
-           objects (easier to edit in inkscape). - NN
-
-===============================================================
-2007-06-02 Released 0.90.1 at revision 3352
-
-2007-06-02 Display only meaningful labels when calling legend()
-           without args. - NN
-
-2007-06-02 Have errorbar follow the color cycle even if line is not plotted.
-           Suppress plotting of errorbar caps for capsize=0. - NN
-
-2007-06-02 Set markers to same alpha value as line. - NN
-
-2007-06-02 Fix mathtext position in svg backend. - NN
-
-2007-06-01 Deprecate Numeric and numarray for use as numerix. Props to
-           Travis -- job well done. - ADS
-
-2007-05-18 Added LaTeX unicode support. Enable with the
-           'text.latex.unicode' rcParam. This requires the ucs and
-           inputenc LaTeX packages. - ADS
-
-2007-04-23 Fixed some problems with polar -- added general polygon
-           clipping to clip the lines a nd grids to the polar axes.
-           Added support for set_rmax to easily change the maximum
-           radial grid.  Added support for polar legend - JDH
-
-2007-04-16 Added Figure.autofmt_xdate to handle adjusting the bottom
-           and rotating the tick labels for date plots when the ticks
-           often overlap - JDH
-
-2007-04-09 Beginnings of usetex support for pdf backend. -JKS
-
-2007-04-07 Fixed legend/LineCollection bug. Added label support
-           to collections. - EF
-
-2007-04-06 Removed deprecated support for a float value as a gray-scale;
-           now it must be a string, like '0.5'.  Added alpha kwarg to
-           ColorConverter.to_rgba_list. - EF
-
-2007-04-06 Fixed rotation of ellipses in pdf backend
-           (sf bug #1690559) -JKS
-
-2007-04-04 More matshow tweaks; documentation updates; new method
-           set_bounds() for formatters and locators. - EF
-
-2007-04-02 Fixed problem with imshow and matshow of integer arrays;
-           fixed problems with changes to color autoscaling. - EF
-
-2007-04-01 Made image color autoscaling work correctly with
-           a tracking colorbar; norm.autoscale now scales
-           unconditionally, while norm.autoscale_None changes
-           only None-valued vmin, vmax. - EF
-
-2007-03-31 Added a qt-based subplot-adjustment dialog - DSD
-
-2007-03-30 Fixed a bug in backend_qt4, reported on mpl-dev - DSD
-
-2007-03-26 Removed colorbar_classic from figure.py; fixed bug in
-           Figure.clf() in which _axobservers was not getting
-           cleared.  Modernization and cleanups. - EF
-
-2007-03-26 Refactored some of the units support -- units now live in
-           the respective x and y Axis instances.  See also
-           API_CHANGES for some alterations to the conversion
-           interface.  JDH
-
-2007-03-25 Fix masked array handling in quiver.py for numpy. (Numeric
-           and numarray support for masked arrays is broken in other
-           ways when using quiver. I didn't pursue that.) - ADS
-
-2007-03-23 Made font_manager.py close opened files. - JKS
-
-2007-03-22 Made imshow default extent match matshow - EF
-
-2007-03-22 Some more niceties for xcorr -- a maxlags option, normed
-           now works for xcorr as well as axorr, usevlines is
-           supported, and a zero correlation hline is added.  See
-           examples/xcorr_demo.py.  Thanks Sameer for the patch.  -
-           JDH
-
-2007-03-21 Axes.vlines and Axes.hlines now create and returns a
-           LineCollection, not a list of lines.  This is much faster.
-           The kwarg signature has changed, so consult the docs.
-           Modified Axes.errorbar which uses vlines and hlines.  See
-           API_CHANGES; the return signature for these three functions
-           is now different
-
-2007-03-20 Refactored units support and added new examples - JDH
-
-2007-03-19 Added Mike's units patch - JDH
-
-2007-03-18 Matshow as an Axes method; test version matshow1() in
-           pylab; added 'integer' Boolean kwarg to MaxNLocator
-           initializer to force ticks at integer locations. - EF
-
-2007-03-17 Preliminary support for clipping to paths agg - JDH
-
-2007-03-17 Text.set_text() accepts anything convertible with '%s' - EF
-
-2007-03-14 Add masked-array support to hist. - EF
-
-2007-03-03 Change barh to take a kwargs dict and pass it to bar.
-           Fixes sf bug #1669506.
-
-2007-03-02 Add rc parameter pdf.inheritcolor, which disables all
-           color-setting operations in the pdf backend. The idea is
-           that you include the resulting file in another program and
-           set the colors (both stroke and fill color) there, so you
-           can use the same pdf file for e.g., a paper and a
-           presentation and have them in the surrounding color. You
-           will probably not want to draw figure and axis frames in
-           that case, since they would be filled in the same color. - JKS
-
-2007-02-26 Prevent building _wxagg.so with broken Mac OS X wxPython. - ADS
-
-2007-02-23 Require setuptools for Python 2.3 - ADS
-
-2007-02-22 WXAgg accelerator updates - KM
-           WXAgg's C++ accelerator has been fixed to use the correct wxBitmap
-           constructor.
-
-           The backend has been updated to use new wxPython functionality to
-           provide fast blit() animation without the C++ accelerator.  This
-           requires wxPython 2.8 or later.  Previous versions of wxPython can
-           use the C++ acclerator or the old pure Python routines.
-
-           setup.py no longer builds the C++ accelerator when wxPython >= 2.8
-           is present.
-
-           The blit() method is now faster regardless of which agg/wxPython
-           conversion routines are used.
-
-2007-02-21 Applied the PDF backend patch by Nicolas Grilly.
-           This impacts several files and directories in matplotlib:
-
-           - Created the directory lib/matplotlib/mpl-data/fonts/pdfcorefonts,
-             holding AFM files for the 14 PDF core fonts. These fonts are
-             embedded in every PDF viewing application.
-
-           - setup.py: Added the directory pdfcorefonts to package_data.
-
-           - lib/matplotlib/__init__.py: Added the default parameter
-             'pdf.use14corefonts'. When True, the PDF backend uses
-             only the 14 PDF core fonts.
-
-           - lib/matplotlib/afm.py: Added some keywords found in
-             recent AFM files. Added a little workaround to handle
-             Euro symbol.
-
-           - lib/matplotlib/fontmanager.py: Added support for the 14
-             PDF core fonts. These fonts have a dedicated cache (file
-             pdfcorefont.cache), not the same as for other AFM files
-             (file .afmfont.cache). Also cleaned comments to conform
-             to CODING_GUIDE.
-
-           - lib/matplotlib/backends/backend_pdf.py:
-             Added support for 14 PDF core fonts.
-             Fixed some issues with incorrect character widths and
-             encodings (works only for the most common encoding,
-             WinAnsiEncoding, defined by the official PDF Reference).
-             Removed parameter 'dpi' because it causes alignment issues.
-
-           -JKS (patch by Nicolas Grilly)
-
-2007-02-17 Changed ft2font.get_charmap, and updated all the files where
-           get_charmap is mentioned - ES
-
-2007-02-13 Added barcode demo- JDH
-
-2007-02-13 Added binary colormap to cm - JDH
-
-2007-02-13 Added twiny to pylab - JDH
-
-2007-02-12 Moved data files into lib/matplotlib so that setuptools'
-           develop mode works. Re-organized the mpl-data layout so
-           that this source structure is maintained in the
-           installation. (i.e., the 'fonts' and 'images'
-           sub-directories are maintained in site-packages.)  Suggest
-           removing site-packages/matplotlib/mpl-data and
-           ~/.matplotlib/ttffont.cache before installing - ADS
-
-2007-02-07 Committed Rob Hetland's patch for qt4: remove
-           references to text()/latin1(), plus some improvements
-           to the toolbar layout - DSD
-
-===============================================================
-2007-02-06 Released 0.90.0 at revision 3003
-
-2007-01-22 Extended the new picker API to text, patches and patch
-           collections.  Added support for user customizable pick hit
-           testing and attribute tagging of the PickEvent - Details
-           and examples in examples/pick_event_demo.py - JDH
-
-2007-01-16 Begun work on a new pick API using the mpl event handling
-           frameowrk.  Artists will define their own pick method with
-           a configurable epsilon tolerance and return pick attrs.
-           All artists that meet the tolerance threshold will fire a
-           PickEvent with artist dependent attrs; e.g., a Line2D can set
-           the indices attribute that shows the indices into the line
-           that are within epsilon of the pick point.  See
-           examples/pick_event_demo.py.  The implementation of pick
-           for the remaining Artists remains to be done, but the core
-           infrastructure at the level of event handling is in place
-           with a proof-of-concept implementation for Line2D - JDH
-
-2007-01-16 src/_image.cpp: update to use Py_ssize_t (for 64-bit systems).
-           Use return value of fread() to prevent warning messages - SC.
-
-2007-01-15 src/_image.cpp: combine buffer_argb32() and buffer_bgra32() into
-           a new method color_conv(format) - SC
-
-2007-01-14 backend_cairo.py: update draw_arc() so that
-           examples/arctest.py looks correct - SC
-
-2007-01-12 backend_cairo.py: enable clipping. Update draw_image() so that
-           examples/contour_demo.py looks correct - SC
-
-2007-01-12 backend_cairo.py: fix draw_image() so that examples/image_demo.py
-           now looks correct - SC
-
-2007-01-11 Added Axes.xcorr and Axes.acorr to plot the cross
-           correlation of x vs y or the autocorrelation of x.  pylab
-           wrappers also provided.  See examples/xcorr_demo.py - JDH
-
-2007-01-10 Added "Subplot.label_outer" method.  It will set the
-           visibility of the ticklabels so that yticklabels are only
-           visible in the first column and xticklabels are only
-           visible in the last row - JDH
-
-2007-01-02 Added additional kwarg documentation - JDH
-
-2006-12-28 Improved error message for nonpositive input to log
-           transform; added log kwarg to bar, barh, and hist,
-           and modified bar method to behave sensibly by default
-           when the ordinate has a log scale.  (This only works
-           if the log scale is set before or by the call to bar,
-           hence the utility of the log kwarg.) - EF
-
-2006-12-27 backend_cairo.py: update draw_image() and _draw_mathtext() to work
-           with numpy - SC
-
-2006-12-20 Fixed xpdf dependency check, which was failing on windows.
-           Removed ps2eps dependency check. - DSD
-
-2006-12-19 Added Tim Leslie's spectral patch - JDH
-
-2006-12-17 Added rc param 'axes.formatter.limits' to control
-           the default threshold for switching to scientific
-           notation. Added convenience method
-           Axes.ticklabel_format() for turning scientific notation
-           on or off on either or both axes. - EF
-
-2006-12-16 Added ability to turn control scientific notation
-           in ScalarFormatter - EF
-
-2006-12-16 Enhanced boxplot to handle more flexible inputs - EF
-
-2006-12-13 Replaced calls to where() in colors.py with much faster
-           clip() and putmask() calls; removed inappropriate
-           uses of getmaskorNone (which should be needed only
-           very rarely); all in response to profiling by
-           David Cournapeau.  Also fixed bugs in my 2-D
-           array support from 12-09. - EF
-
-2006-12-09 Replaced spy and spy2 with the new spy that combines
-           marker and image capabilities - EF
-
-2006-12-09 Added support for plotting 2-D arrays with plot:
-           columns are plotted as in Matlab - EF
-
-2006-12-09 Added linewidth kwarg to bar and barh; fixed arg
-           checking bugs - EF
-
-2006-12-07 Made pcolormesh argument handling match pcolor;
-           fixed kwarg handling problem noted by Pierre GM - EF
-
-2006-12-06 Made pcolor support vector X and/or Y instead of
-           requiring 2-D arrays - EF
-
-2006-12-05 Made the default Artist._transform None (rather than
-           invoking identity_transform for each artist only to have it
-           overridden later).  Use artist.get_transform() rather than
-           artist._transform, even in derived classes, so that the
-           default transform will be created lazily as needed - JDH
-
-2006-12-03 Added LogNorm to colors.py as illustrated by
-           examples/pcolor_log.py, based on suggestion by
-           Jim McDonald.  Colorbar modified to handle LogNorm.
-           Norms have additional "inverse" method. - EF
-
-2006-12-02 Changed class names in colors.py to match convention:
-           normalize -> Normalize, no_norm -> NoNorm.  Old names
-           are still available.
-           Changed __init__.py rc defaults to match those in
-           matplotlibrc - EF
-
-2006-11-22 Fixed bug in set_*lim that I had introduced on 11-15 - EF
-
-2006-11-22 Added examples/clippedline.py, which shows how to clip line
-           data based on view limits -- it also changes the marker
-           style when zoomed in - JDH
-
-2006-11-21 Some spy bug-fixes and added precision arg per Robert C's
-           suggestion  - JDH
-
-2006-11-19 Added semi-automatic docstring generation detailing all the
-           kwargs that functions take using the artist introspection
-           tools; e.g., 'help text now details the scatter kwargs
-           that control the Text properties  - JDH
-
-2006-11-17 Removed obsolete scatter_classic, leaving a stub to
-           raise NotImplementedError; same for pcolor_classic - EF
-
-2006-11-15 Removed obsolete pcolor_classic - EF
-
-2006-11-15 Fixed 1588908 reported by Russel Owen; factored
-           nonsingular method out of ticker.py, put it into
-           transforms.py as a function, and used it in
-           set_xlim and set_ylim. - EF
-
-2006-11-14 Applied patch 1591716 by Ulf Larssen to fix a bug in
-           apply_aspect.  Modified and applied patch
-           1594894 by mdehoon to fix bugs and improve
-           formatting in lines.py. Applied patch 1573008
-           by Greg Willden to make psd etc. plot full frequency
-           range for complex inputs. - EF
-
-2006-11-14 Improved the ability of the colorbar to track
-           changes in corresponding image, pcolor, or
-           contourf. - EF
-
-2006-11-11 Fixed bug that broke Numeric compatibility;
-           added support for alpha to colorbar.  The
-           alpha information is taken from the mappable
-           object, not specified as a kwarg. - EF
-
-2006-11-05 Added broken_barh function for makring a sequence of
-           horizontal bars broken by gaps -- see examples/broken_barh.py
-
-2006-11-05 Removed lineprops and markerprops from the Annotation code
-           and replaced them with an arrow configurable with kwarg
-           arrowprops.  See examples/annotation_demo.py - JDH
-
-2006-11-02 Fixed a pylab subplot bug that was causing axes to be
-           deleted with hspace or wspace equals zero in
-           subplots_adjust - JDH
-
-2006-10-31 Applied axes3d patch 1587359
-           http://sourceforge.net/tracker/index.php?func=detail&aid=1587359&group_id=80706&atid=560722
-           JDH
-
-===============================================================
-2006-10-26 Released 0.87.7 at revision 2835
-
-2006-10-25 Made "tiny" kwarg in Locator.nonsingular much smaller - EF
-
-2006-10-17 Closed sf bug 1562496 update line props dash/solid/cap/join
-           styles - JDH
-
-2006-10-17 Complete overhaul of the annotations API and example code -
-           See matplotlib.text.Annotation and
-           examples/annotation_demo.py JDH
-
-2006-10-12 Committed Manuel Metz's StarPolygon code and
-           examples/scatter_star_poly.py - JDH
-
-
-2006-10-11 commented out all default values in matplotlibrc.template
-           Default values should generally be taken from defaultParam in
-           __init__.py - the file matplotlib should only contain those values
-           that the user wants to explicitly change from the default.
-           (see thread "marker color handling" on matplotlib-devel)
-
-2006-10-10 Changed default comment character for load to '#' - JDH
-
-2006-10-10 deactivated rcfile-configurability of markerfacecolor
-           and markeredgecolor. Both are now hardcoded to the special value
-           'auto' to follow the line color. Configurability at run-time
-           (using function arguments) remains functional. - NN
-
-2006-10-07 introduced dummy argument magnification=1.0 to
-           FigImage.make_image to satisfy unit test figimage_demo.py
-           The argument is not yet handled correctly, which should only
-           show up when using non-standard DPI settings in PS backend,
-           introduced by patch #1562394. - NN
-
-2006-10-06 add backend-agnostic example: simple3d.py - NN
-
-2006-09-29 fix line-breaking for SVG-inline images (purely cosmetic) - NN
-
-2006-09-29 reworked set_linestyle and set_marker
-           markeredgecolor and markerfacecolor now default to
-           a special value "auto" that keeps the color in sync with
-           the line color
-           further, the intelligence of axes.plot is cleaned up,
-           improved and simplified. Complete compatibility cannot be
-           guaranteed, but the new behavior should be much more predictable
-           (see patch #1104615 for details) - NN
-
-2006-09-29 changed implementation of clip-path in SVG to work around a
-           limitation in inkscape - NN
-
-2006-09-29 added two options to matplotlibrc:
-           svg.image_inline
-           svg.image_noscale
-           see patch #1533010 for details - NN
-
-2006-09-29 axes.py: cleaned up kwargs checking - NN
-
-2006-09-29 setup.py: cleaned up setup logic - NN
-
-2006-09-29 setup.py: check for required pygtk versions, fixes bug #1460783 - SC
-
-===============================================================
-2006-09-27 Released 0.87.6 at revision 2783
-
-2006-09-24 Added line pointers to the Annotation code, and a pylab
-           interface.  See matplotlib.text.Annotation,
-           examples/annotation_demo.py and
-           examples/annotation_demo_pylab.py - JDH
-
-2006-09-18 mathtext2.py: The SVG backend now supports the same things that
-           the AGG backend does. Fixed some bugs with rendering, and out of
-           bounds errors in the AGG backend - ES. Changed the return values
-           of math_parse_s_ft2font_svg to support lines (fractions etc.)
-
-2006-09-17 Added an Annotation class to facilitate annotating objects
-           and an examples file examples/annotation_demo.py.  I want
-           to add dash support as in TextWithDash, but haven't decided
-           yet whether inheriting from TextWithDash is the right base
-           class or if another approach is needed - JDH
-
-===============================================================
-2006-09-05 Released 0.87.5 at revision 2761
-
-2006-09-04 Added nxutils for some numeric add-on extension code --
-                   specifically a better/more efficient inside polygon tester (see
-                   unit/inside_poly_*.py) - JDH
-
-2006-09-04 Made bitstream fonts the rc default - JDH
-
-2006-08-31 Fixed alpha-handling bug in ColorConverter, affecting
-           collections in general and contour/contourf in
-           particular. - EF
-
-2006-08-30 ft2font.cpp: Added draw_rect_filled method (now used by mathtext2
-           to draw the fraction bar) to FT2Font - ES
-
-2006-08-29 setupext.py: wrap calls to tk.getvar() with str(). On some
-           systems, getvar returns a Tcl_Obj instead of a string - DSD
-
-2006-08-28 mathtext2.py: Sub/superscripts can now be complex (i.e.
-           fractions etc.). The demo is also updated - ES
-
-2006-08-28 font_manager.py: Added /usr/local/share/fonts to list of
-           X11 font directories - DSD
-
-2006-08-28 mahtext2.py: Initial support for complex fractions. Also,
-           rendering is now completely separated from parsing. The
-           sub/superscripts now work better.
-           Updated the mathtext2_demo.py - ES
-
-2006-08-27 qt backends: don't create a QApplication when backend is
-           imported, do it when the FigureCanvasQt is created. Simplifies
-           applications where mpl is embedded in qt. Updated
-           embedding_in_qt* examples - DSD
-
-2006-08-27 mahtext2.py: Now the fonts are searched in the OS font dir and
-           in the mpl-data dir. Also env is not a dict anymore. - ES
-
-2006-08-26 minor changes to __init__.py, mathtex2_demo.py. Added matplotlibrc
-           key "mathtext.mathtext2" (removed the key "mathtext2") - ES
-
-2006-08-21 mathtext2.py: Initial support for fractions
-           Updated the mathtext2_demo.py
-           _mathtext_data.py: removed "\" from the unicode dicts
-           mathtext.py: Minor modification (because of _mathtext_data.py)- ES
-
-2006-08-20 Added mathtext2.py: Replacement for mathtext.py. Supports _ ^,
-           \rm, \cal etc., \sin, \cos etc., unicode, recursive nestings,
-           inline math mode. The only backend currently supported is Agg
-           __init__.py: added new rc params for mathtext2
-           added mathtext2_demo.py example - ES
-
-2006-08-19 Added embedding_in_qt4.py example - DSD
-
-2006-08-11 Added scale free Ellipse patch for Agg - CM
-
-2006-08-10 Added converters to and from julian dates to matplotlib.dates
-           (num2julian and julian2num) - JDH
-
-2006-08-08 Fixed widget locking so multiple widgets could share the
-           event handling - JDH
-
-2006-08-07 Added scale free Ellipse patch to SVG and PS - CM
-
-2006-08-05 Re-organized imports in numerix for numpy 1.0b2 -- TEO
-
-2006-08-04 Added draw_markers to PDF backend. - JKS
-
-2006-08-01 Fixed a bug in postscript's rendering of dashed lines - DSD
-
-2006-08-01 figure.py: savefig() update docstring to add support for 'format'
-           argument.
-           backend_cairo.py: print_figure() add support 'format' argument. - SC
-
-2006-07-31 Don't let postscript's xpdf distiller compress images - DSD
-
-2006-07-31 Added shallowcopy() methods to all Transformations;
-           removed copy_bbox_transform and copy_bbox_transform_shallow
-           from transforms.py;
-           added offset_copy() function to transforms.py to
-           facilitate positioning artists with offsets.
-           See examples/transoffset.py. - EF
-
-2006-07-31 Don't let postscript's xpdf distiller compress images - DSD
-
-2006-07-29 Fixed numerix polygon bug reported by Nick Fotopoulos.
-           Added inverse_numerix_xy() transform method.
-           Made autoscale_view() preserve axis direction
-           (e.g., increasing down).- EF
-
-2006-07-28 Added shallow bbox copy routine for transforms -- mainly
-           useful for copying transforms to apply offset to. - JDH
-
-2006-07-28 Added resize method to FigureManager class
-           for Qt and Gtk backend - CM
-
-2006-07-28 Added subplots_adjust button to Qt backend - CM
-
-2006-07-26 Use numerix more in collections.
-           Quiver now handles masked arrays. - EF
-
-2006-07-22 Fixed bug #1209354 - DSD
-
-2006-07-22 make scatter() work with the kwarg "color". Closes bug
-           1285750 - DSD
-
-2006-07-20 backend_cairo.py: require pycairo 1.2.0.
-           print_figure() update to output SVG using cairo.
-
-2006-07-19 Added blitting for Qt4Agg - CM
-
-2006-07-19 Added lasso widget and example examples/lasso_demo.py - JDH
-
-2006-07-18 Added blitting for QtAgg backend - CM
-
-2006-07-17 Fixed bug #1523585: skip nans in semilog plots - DSD
-
-2006-07-12 Add support to render the scientific notation label
-           over the right-side y-axis - DSD
-
-===============================================================
-2006-07-11 Released 0.87.4 at revision 2558
-
-2006-07-07 Fixed a usetex bug with older versions of latex - DSD
-
-2006-07-07 Add compatibility for NumPy 1.0 - TEO
-
-2006-06-29 Added a Qt4Agg backend. Thank you James Amundson - DSD
-
-2006-06-26 Fixed a usetex bug. On windows, usetex will prcess
-           postscript output in the current directory rather than
-           in a temp directory. This is due to the use of spaces
-           and tildes in windows paths, which cause problems with
-           latex. The subprocess module is no longer used. - DSD
-
-2006-06-22 Various changes to bar(), barh(), and hist().
-           Added 'edgecolor' keyword arg to bar() and barh().
-           The x and y args in barh() have been renamed to width
-           and bottom respectively, and their order has been swapped
-           to maintain a (position, value) order ala matlab. left,
-           height, width and bottom args can now all be scalars or
-           sequences. barh() now defaults to edge alignment instead
-           of center alignment. Added a keyword arg 'align' to bar(),
-           barh() and hist() that controls between edge or center bar
-           alignment. Fixed ignoring the rcParams['patch.facecolor']
-           for bar color in bar() and barh(). Fixed ignoring the
-           rcParams['lines.color'] for error bar color in bar()
-           and barh(). Fixed a bug where patches would be cleared
-           when error bars were plotted if rcParams['axes.hold']
-           was False. - MAS
-
-2006-06-22 Added support for numerix 2-D arrays as alternatives to
-           a sequence of (x,y) tuples for specifying paths in
-           collections, quiver, contour, pcolor, transforms.
-           Fixed contour bug involving setting limits for
-           color mapping.  Added numpy-style all() to numerix. - EF
-
-2006-06-20 Added custom FigureClass hook to pylab interface - see
-           examples/custom_figure_class.py
-
-2006-06-16 Added colormaps from gist (gist_earth, gist_stern,
-           gist_rainbow, gist_gray, gist_yarg, gist_heat, gist_ncar) - JW
-
-2006-06-16 Added a pointer to parent in figure canvas so you can
-           access the container with fig.canvas.manager.  Useful if
-           you want to set the window title, e.g., in gtk
-           fig.canvas.manager.window.set_title, though a GUI neutral
-           method would be preferable JDH
-
-2006-06-16 Fixed colorbar.py to handle indexed colors (i.e.,
-           norm = no_norm()) by centering each colored region
-           on its index. - EF
-
-2006-06-15 Added scalex and scaley to Axes.autoscale_view to support
-           selective autoscaling just the x or y axis, and supported
-           these command in plot so you can say plot(something,
-           scaley=False) and just the x axis will be autoscaled.
-           Modified axvline and axhline to support this, so for
-           example axvline will no longer autoscale the y axis. JDH
-
-2006-06-13 Fix so numpy updates are backward compatible - TEO
-
-2006-06-12 Updated numerix to handle numpy restructuring of
-           oldnumeric - TEO
-
-2006-06-12 Updated numerix.fft to handle numpy restructuring
-           Added ImportError to numerix.linear_algebra for numpy -TEO
-
-2006-06-11 Added quiverkey command to pylab and Axes, using
-           QuiverKey class in quiver.py.  Changed pylab and Axes
-           to use quiver2 if possible, but drop back to the
-           newly-renamed quiver_classic if necessary.  Modified
-           examples/quiver_demo.py to illustrate the new quiver
-           and quiverkey.  Changed LineCollection implementation
-           slightly to improve compatibility with PolyCollection. - EF
-
-2006-06-11 Fixed a usetex bug for windows, running latex on files
-           with spaces in their names or paths was failing - DSD
-
-2006-06-09 Made additions to numerix, changes to quiver to make it
-           work with all numeric flavors. - EF
-
-2006-06-09 Added quiver2 function to pylab and method to axes,
-           with implementation via a Quiver class in quiver.py.
-           quiver2 will replace quiver before the next release;
-           it is placed alongside it initially to facilitate
-           testing and transition. See also
-           examples/quiver2_demo.py. - EF
-
-2006-06-08 Minor bug fix to make ticker.py draw proper minus signs
-           with usetex - DSD
-
-===============================================================
-2006-06-06 Released 0.87.3 at revision 2432
-
-2006-05-30 More partial support for polygons with outline or fill,
-           but not both.  Made LineCollection inherit from
-           ScalarMappable. - EF
-
-2006-05-29 Yet another revision of aspect-ratio handling. - EF
-
-2006-05-27 Committed a patch to prevent stroking zero-width lines in
-           the svg backend - DSD
-
-2006-05-24 Fixed colorbar positioning bug identified by Helge
-           Avlesen, and improved the algorithm; added a 'pad'
-           kwarg to control the spacing between colorbar and
-           parent axes. - EF
-
-2006-05-23 Changed color handling so that collection initializers
-           can take any mpl color arg or sequence of args; deprecated
-           float as grayscale, replaced by string representation of
-           float. - EF
-
-2006-05-19 Fixed bug: plot failed if all points were masked - EF
-
-2006-05-19 Added custom symbol option to scatter - JDH
-
-2006-05-18 New example, multi_image.py; colorbar fixed to show
-           offset text when the ScalarFormatter is used; FixedFormatter
-           augmented to accept and display offset text. - EF
-
-2006-05-14 New colorbar; old one is renamed to colorbar_classic.
-           New colorbar code is in colorbar.py, with wrappers in
-           figure.py and pylab.py.
-           Fixed aspect-handling bug reported by Michael Mossey.
-           Made backend_bases.draw_quad_mesh() run.- EF
-
-2006-05-08 Changed handling of end ranges in contourf: replaced
-           "clip-ends" kwarg with "extend".  See docstring for
-           details. -EF
-
-2006-05-08 Added axisbelow to rc - JDH
-
-2006-05-08 If using PyGTK require version 2.2+ - SC
-
-2006-04-19 Added compression support to PDF backend, controlled by
-           new pdf.compression rc setting. - JKS
-
-2006-04-19 Added Jouni's PDF backend
-
-2006-04-18 Fixed a bug that caused agg to not render long lines
-
-2006-04-16 Masked array support for pcolormesh; made pcolormesh support the
-           same combinations of X,Y,C dimensions as pcolor does;
-           improved (I hope) description of grid used in pcolor,
-           pcolormesh. - EF
-
-2006-04-14 Reorganized axes.py - EF
-
-2006-04-13 Fixed a bug Ryan found using usetex with sans-serif fonts and
-           exponential tick labels - DSD
-
-2006-04-11 Refactored backend_ps and backend_agg to prevent module-level
-           texmanager imports. Now these imports only occur if text.usetex
-           rc setting is true - DSD
-
-2006-04-10 Committed changes required for building mpl on win32
-           platforms with visual studio.  This allows wxpython
-           blitting for fast animations. - CM
-
-2006-04-10 Fixed an off-by-one bug in Axes.change_geometry.
-
-2006-04-10 Fixed bug in pie charts where wedge wouldn't have label in
-           legend. Submitted by Simon Hildebrandt. - ADS
-
-2006-05-06 Usetex makes temporary latex and dvi files in a temporary
-           directory, rather than in the user's current working
-           directory - DSD
-
-2006-04-05 Apllied Ken's wx deprecation warning patch closing sf patch
-           #1465371 - JDH
-
-2006-04-05 Added support for the new API in the postscript backend.
-           Allows values to be masked using nan's, and faster file
-           creation - DSD
-
-2006-04-05 Use python's subprocess module for usetex calls to
-           external programs. subprocess catches when they exit
-           abnormally so an error can be raised. - DSD
-
-2006-04-03 Fixed the bug in which widgets would not respond to
-           events.  This regressed the twinx functionality, so I
-           also updated subplots_adjust to update axes that share
-           an x or y with a subplot instance. - CM
-
-2006-04-02 Moved PBox class to transforms and deleted pbox.py;
-           made pylab axis command a thin wrapper for Axes.axis;
-           more tweaks to aspect-ratio handling; fixed Axes.specgram
-           to account for the new imshow default of unit aspect
-           ratio; made contour set the Axes.dataLim. - EF
-
-2006-03-31 Fixed the Qt "Underlying C/C++ object deleted" bug. - JRE
-
-2006-03-31 Applied Vasily Sulatskov's Qt Navigation Toolbar enhancement. - JRE
-
-2006-03-31 Ported Norbert's rewriting of Halldor's stineman_interp
-           algorithm to make it numerix compatible and added code to
-           matplotlib.mlab.  See examples/interp_demo.py - JDH
-
-2006-03-30 Fixed a bug in aspect ratio handling; blocked potential
-           crashes when panning with button 3; added axis('image')
-           support. - EF
-
-2006-03-28 More changes to aspect ratio handling; new PBox class
-           in new file pbox.py to facilitate resizing and repositioning
-           axes; made PolarAxes maintain unit aspect ratio. - EF
-
-2006-03-23 Refactored TextWithDash class to inherit from, rather than
-           delegate to, the Text class. Improves object inspection
-           and closes bug # 1357969 - DSD
-
-2006-03-22 Improved aspect ratio handling, including pylab interface.
-           Interactive resizing, pan, zoom of images and plots
-           (including panels with a shared axis) should work.
-           Additions and possible refactoring are still likely. - EF
-
-2006-03-21 Added another colorbrewer colormap (RdYlBu) - JSWHIT
-
-2006-03-21 Fixed tickmarks for logscale plots over very large ranges.
-           Closes bug # 1232920 - DSD
-
-2006-03-21 Added Rob Knight's arrow code; see examples/arrow_demo.py - JDH
-
-2006-03-20 Added support for masking values with nan's, using ADS's
-           isnan module and the new API. Works for *Agg backends - DSD
-
-2006-03-20 Added contour.negative_linestyle rcParam - ADS
-
-2006-03-20 Added _isnan extension module to test for nan with Numeric
-           - ADS
-
-2006-03-17 Added Paul and Alex's support for faceting with quadmesh
-           in sf patch 1411223 - JDH
-
-2006-03-17 Added Charle Twardy's pie patch to support colors=None.
-           Closes sf patch 1387861 - JDH
-
-2006-03-17 Applied sophana's patch to support overlapping axes with
-           toolbar navigation by toggling activation with the 'a' key.
-           Closes sf patch 1432252 - JDH
-
-2006-03-17 Applied Aarre's linestyle patch for backend EMF; closes sf
-           patch 1449279 - JDH
-
-2006-03-17 Applied  Jordan Dawe's patch to support kwarg properties
-           for grid lines in the grid command.  Closes sf patch
-           1451661 - JDH
-
-2006-03-17 Center postscript output on page when using usetex - DSD
-
-2006-03-17 subprocess module built if Python <2.4 even if subprocess
-           can be imported from an egg - ADS
-
-2006-03-17 Added _subprocess.c from Python upstream and hopefully
-           enabled building (without breaking) on Windows, although
-           not tested. - ADS
-
-2006-03-17 Updated subprocess.py to latest Python upstream and
-           reverted name back to subprocess.py - ADS
-
-2006-03-16 Added John Porter's 3D handling code
-
-
-===============================================================
-2006-03-16 Released 0.87.2 at revision 2150
-
-2006-03-15 Fixed bug in MaxNLocator revealed by daigos@infinito.it.
-           The main change is that Locator.nonsingular now adjusts
-           vmin and vmax if they are nearly the same, not just if
-           they are equal.  A new kwarg, "tiny", sets the threshold. -
-           EF
-
-2006-03-14 Added import of compatibility library for newer numpy
-           linear_algebra - TEO
-
-2006-03-12 Extended "load" function to support individual columns and
-           moved "load" and "save" into matplotlib.mlab so they can be
-           used outside of pylab -- see examples/load_converter.py -
-           JDH
-
-2006-03-12 Added AutoDateFormatter and AutoDateLocator submitted
-           by James Evans. Try the load_converter.py example for a
-           demo. - ADS
-
-2006-03-11 Added subprocess module from python-2.4 - DSD
-
-2006-03-11 Fixed landscape orientation support with the usetex
-           option. The backend_ps print_figure method was
-           getting complicated, I added a _print_figure_tex
-           method to maintain some degree of sanity - DSD
-
-2006-03-11 Added "papertype" savefig kwarg for setting
-           postscript papersizes. papertype and ps.papersize
-           rc setting can also be set to "auto" to autoscale
-           pagesizes - DSD
-
-2006-03-09 Apply P-J's patch to make pstoeps work on windows
-           patch report # 1445612 - DSD
-
-2006-03-09 Make backend rc parameter case-insensitive - DSD
-
-2006-03-07 Fixed bug in backend_ps related to C0-C6 papersizes,
-           which were causing problems with postscript viewers.
-           Supported page sizes include letter, legal, ledger,
-           A0-A10, and B0-B10 - DSD
-
-===============================================================
-2006-03-07 Released 0.87.1
-
-2006-03-04 backend_cairo.py:
-           fix get_rgb() bug reported by Keith Briggs.
-           Require pycairo 1.0.2.
-           Support saving png to file-like objects. - SC
-
-2006-03-03 Fixed pcolor handling of vmin, vmax - EF
-
-2006-03-02 improve page sizing with usetex with the latex
-           geometry package. Closes bug # 1441629 - DSD
-
-2006-03-02 Fixed dpi problem with usetex png output. Accepted a
-           modified version of patch # 1441809 - DSD
-
-2006-03-01 Fixed axis('scaled') to deal with case xmax < xmin - JSWHIT
-
-2006-03-01 Added reversed colormaps (with '_r' appended to name) - JSWHIT
-
-2006-02-27 Improved eps bounding boxes with usetex - DSD
-
-2006-02-27 Test svn commit, again!
-
-2006-02-27 Fixed two dependency checking bugs related to usetex
-           on Windows - DSD
-
-2006-02-27 Made the rc deprecation warnings a little more human
-           readable.
-
-2006-02-26 Update the previous gtk.main_quit() bug fix to use gtk.main_level()
-           - SC
-
-2006-02-24 Implemented alpha support in contour and contourf - EF
-
-2006-02-22 Fixed gtk main quit bug when quit was called before
-           mainloop. - JDH
-
-2006-02-22 Small change to colors.py to workaround apparent
-           bug in numpy masked array module - JSWHIT
-
-2006-02-22 Fixed bug in ScalarMappable.to_rgba() reported by
-           Ray Jones, and fixed incorrect fix found by Jeff
-           Whitaker - EF
-
-===============================================================
-2006-02-22 Released 0.87
-
-2006-02-21 Fixed portrait/landscape orientation in postscript backend - DSD
-
-2006-02-21 Fix bug introduced in yesterday's bug fix - SC
-
-2006-02-20 backend_gtk.py FigureCanvasGTK.draw(): fix bug reported by
-           David Tremouilles - SC
-
-2006-02-20 Remove the "pygtk.require('2.4')" error from
-           examples/embedding_in_gtk2.py - SC
-
-2006-02-18 backend_gtk.py FigureCanvasGTK.draw(): simplify to use (rather than
-           duplicate) the expose_event() drawing code - SC
-
-2006-02-12 Added stagger or waterfall plot capability to LineCollection;
-           illustrated in examples/collections.py. - EF
-
-2006-02-11 Massive cleanup of the usetex code in the postscript backend. Possibly
-           fixed the clipping issue users were reporting with older versions of
-           ghostscript - DSD
-
-2006-02-11 Added autolim kwarg to axes.add_collection.  Changed
-           collection get_verts() methods accordingly. - EF
-
-2006-02-09 added a temporary rc parameter text.dvipnghack, to allow Mac users to get nice
-           results with the usetex option. - DSD
-
-2006-02-09 Fixed a bug related to setting font sizes with the usetex option. - DSD
-
-2006-02-09 Fixed a bug related to usetex's latex code. - DSD
-
-2006-02-09 Modified behavior of font.size rc setting. You should define font.size in pts,
-           which will set the "medium" or default fontsize. Special text sizes like axis
-           labels or tick labels can be given relative font sizes like small, large,
-           x-large, etc. and will scale accordingly. - DSD
-
-2006-02-08 Added py2exe specific datapath check again.  Also added new
-           py2exe helper function get_py2exe_datafiles for use in py2exe
-           setup.py scripts. - CM
-
-2006-02-02 Added box function to pylab
-
-2006-02-02 Fixed a problem in setupext.py, tk library formatted in unicode
-           caused build problems - DSD
-
-2006-02-01 Dropped TeX engine support in usetex to focus on LaTeX. - DSD
-
-2006-01-29 Improved usetex option to respect the serif, sans-serif, monospace,
-           and cursive rc settings. Removed the font.latex.package rc setting,
-           it is no longer required - DSD
-
-2006-01-29 Fixed tex's caching to include font.family rc information - DSD
-
-2006-01-29 Fixed subpixel rendering bug in *Agg that was causing
-           uneven gridlines - JDH
-
-2006-01-28 Added fontcmd to backend_ps's RendererPS.draw_tex, to support other
-           font families in eps output - DSD
-
-2006-01-28 Added MaxNLocator to ticker.py, and changed contour.py to
-           use it by default. - EF
-
-2006-01-28 Added fontcmd to backend_ps's RendererPS.draw_tex, to support other
-           font families in eps output - DSD
-
-2006-01-27 Buffered reading of matplotlibrc parameters in order to allow
-           'verbose' settings to be processed first (allows verbose.report
-           during rc validation process) - DSD
-
-2006-01-27 Removed setuptools support from setup.py and created a
-           separate setupegg.py file to replace it. - CM
-
-2006-01-26 Replaced the ugly datapath logic with a cleaner approach from
-           http://wiki.python.org/moin/DistutilsInstallDataScattered.
-           Overrides the install_data command. - CM
-
-2006-01-24 Don't use character typecodes in cntr.c --- changed to use
-           defined typenumbers instead. - TEO
-
-2006-01-24 Fixed some bugs in usetex's and ps.usedistiller's dependency
-
-2006-01-24 Added masked array support to scatter - EF
-
-2006-01-24 Fixed some bugs in usetex's and ps.usedistiller's dependency
-           checking - DSD
-
-===============================================================
-2006-01-24 Released 0.86.2
-
-2006-01-20 Added a converters dict to pylab load to convert selected
-           coloumns to float -- especially useful for files with date
-           strings, uses a datestr2num converter - JDH
-
-2006-01-20 Added datestr2num to matplotlib dates to convert a string
-           or sequence of strings to a matplotlib datenum
-
-2006-01-18 Added quadrilateral pcolormesh patch 1409190 by Alex Mont
-           and Paul Kienzle -- this is *Agg only for now.  See
-           examples/quadmesh_demo.py - JDH
-
-2006-01-18 Added Jouni's boxplot patch - JDH
-
-2006-01-18 Added comma delimiter for pylab save - JDH
-
-2006-01-12 Added Ryan's legend patch - JDH
-
-
-2006-1-12 Fixed numpy / numeric to use .dtype.char to keep in SYNC with numpy SVN
-
-===============================================================
-2006-1-11 Released 0.86.1
-
-2006-1-11 Fixed setup.py for win32 build and added rc template to the MANIFEST.in
-
-2006-1-10 Added xpdf distiller option. matplotlibrc ps.usedistiller can now be
-            none, false, ghostscript, or xpdf. Validation checks for
-            dependencies. This needs testing, but the xpdf option should produce
-            the highest-quality output and small file sizes - DSD
-
-2006-01-10 For the usetex option, backend_ps now does all the LaTeX work in the
-            os's temp directory - DSD
-
-2006-1-10 Added checks for usetex dependencies. - DSD
-
-=======================================================================
-2006-1-9 Released 0.86
-
-2006-1-4 Changed to support numpy (new name for scipy_core) - TEO
-
-2006-1-4 Added Mark's scaled axes patch for shared axis
-
-2005-12-28 Added Chris Barker's build_wxagg patch - JDH
-
-2005-12-27 Altered numerix/scipy to support new scipy package
-           structure - TEO
-2005-12-20 Fixed Jame's Boyles date tick reversal problem - JDH
-
-2005-12-20 Added Jouni's rc patch to support lists of keys to set on -
-           JDH
-
-2005-12-12 Updated pyparsing and mathtext for some speed enhancements
-           (Thanks Paul McGuire) and minor fixes to scipy numerix and
-           setuptools
-
-2005-12-12 Matplotlib data is now installed as package_data in
-           the matplotlib module.  This gets rid of checking the
-           many possibilities in matplotlib._get_data_path() - CM
-
-2005-12-11 Support for setuptools/pkg_resources to build and use
-           matplotlib as an egg. Still allows matplotlib to exist
-           using a traditional distutils install. - ADS
-
-2005-12-03 Modified setup to build matplotlibrc based on compile time
-           findings.  It will set numerix in the order of scipy,
-           numarray, Numeric depending on which are founds, and
-           backend as in preference order GTKAgg, WXAgg, TkAgg, GTK,
-           Agg, PS
-
-2005-12-03 Modified scipy patch to support Numeric, scipy and numarray
-           Some work remains to be done because some of the scipy
-           imports are broken if only the core is installed.  e.g.,
-           apparently we need from scipy.basic.fftpack import * rather
-           than from scipy.fftpack import *
-
-2005-12-03 Applied some fixes to Nicholas Young's nonuniform image
-           patch
-
-2005-12-01 Applied Alex Gontmakher hatch patch - PS only for now
-
-2005-11-30 Added Rob McMullen's EMF patch
-
-2005-11-30 Added Daishi's patch for scipy
-
-2005-11-30 Fixed out of bounds draw markers segfault in agg
-
-2005-11-28 Got TkAgg blitting working 100% (cross fingers) correctly. - CM
-
-2005-11-27 Multiple changes in cm.py, colors.py, figure.py, image.py,
-           contour.py, contour_demo.py; new _cm.py, examples/image_masked.py.
-           1) Separated the color table data from cm.py out into
-           a new file, _cm.py, to make it easier to find the actual
-           code in cm.py and to add new colormaps.  Also added
-           some line breaks to the color data dictionaries. Everything
-           from _cm.py is imported by cm.py, so the split should be
-           transparent.
-           2) Enabled automatic generation of a colormap from
-           a list of colors in contour; see modified
-           examples/contour_demo.py.
-           3) Support for imshow of a masked array, with the
-           ability to specify colors (or no color at all) for
-           masked regions, and for regions that are above or
-           below the normally mapped region.  See
-           examples/image_masked.py.
-           4) In support of the above, added two new classes,
-           ListedColormap, and no_norm, to colors.py, and modified
-           the Colormap class to include common functionality. Added
-           a clip kwarg to the normalize class.  Reworked color
-           handling in contour.py, especially in the ContourLabeller
-           mixin.
-           - EF
-
-2005-11-25 Changed text.py to ensure color is hashable. EF
-
-=======================================================================
-2005-11-16 Released 0.85
-
-2005-11-16 Changed the default default linewidth in rc to 1.0
-
-2005-11-16 Replaced agg_to_gtk_drawable with pure pygtk pixbuf code in
-           backend_gtkagg.  When the equivalent is doe for blit, the
-           agg extension code will no longer be needed
-
-2005-11-16 Added a maxdict item to cbook to prevent caches from
-           growing w/o bounds
-
-2005-11-15 Fixed a colorup/colordown reversal bug in finance.py --
-           Thanks Gilles
-
-2005-11-15 Applied Jouni K Steppanen's boxplot patch SF patch#1349997
-           - JDH
-
-
-2005-11-09 added axisbelow attr for Axes to determine whether ticks and such
-             are above or below the actors
-
-2005-11-08 Added Nicolas' irregularly spaced image patch
-
-
-2005-11-08 Deprecated HorizontalSpanSelector and replaced with
-           SpanSelection that takes a third arg, direction.  The
-           new SpanSelector supports horizontal and vertical span
-           selection, and the appropriate min/max is returned. - CM
-
-2005-11-08 Added lineprops dialog for gtk
-
-2005-11-03 Added FIFOBuffer class to mlab to support real time feeds
-           and examples/fifo_buffer.py
-
-2005-11-01 Contributed Nickolas Young's patch for afm mathtext to
-           support mathtext based upon the standard postscript Symbol
-           font when ps.usetex = True.
-
-2005-10-26 Added support for scatter legends - thanks John Gill
-
-2005-10-20 Fixed image clipping bug that made some tex labels
-           disappear.   JDH
-
-2005-10-14 Removed sqrt from dvipng 1.6 alpha channel mask.
-
-2005-10-14 Added width kwarg to hist function
-
-2005-10-10 Replaced all instances of os.rename with shutil.move
-
-2005-10-05 Added Michael Brady's ydate patch
-
-2005-10-04 Added rkern's texmanager patch
-
-2005-09-25 contour.py modified to use a single ContourSet class
-           that handles filled contours, line contours, and labels;
-           added keyword arg (clip_ends) to contourf.
-           Colorbar modified to work with new ContourSet object;
-           if the ContourSet has lines rather than polygons, the
-           colorbar will follow suit. Fixed a bug introduced in
-           0.84, in which contourf(...,colors=...) was broken - EF
-
-=======================================================================
-2005-09-19 Released 0.84
-
-2005-09-14 Added a new 'resize_event' which triggers a callback with a
-           backend_bases.ResizeEvent object - JDH
-
-2005-09-14 font_manager.py: removed chkfontpath from x11FontDirectory() - SC
-
-2005-09-14 Factored out auto date locator/formatter factory code into
-           matplotlib.date.date_ticker_factory; applies John Bryne's
-           quiver patch.
-
-2005-09-13 Added Mark's axes positions history patch #1286915
-
-2005-09-09 Added support for auto canvas resizing with
-           fig.set_figsize_inches(9,5,forward=True) # inches
-           OR
-           fig.resize(400,300)  # pixels
-
-2005-09-07 figure.py: update Figure.draw() to use the updated
-           renderer.draw_image() so that examples/figimage_demo.py works again.
-           examples/stock_demo.py: remove data_clipping (which no longer
-           exists) - SC
-
-2005-09-06 Added Eric's tick.direction patch: in or out in rc
-
-2005-09-06 Added Martin's rectangle selector widget
-
-2005-09-04 Fixed a logic err in text.py that was preventing rgxsuper
-           from matching - JDH
-
-2005-08-29 Committed Ken's wx blit patch #1275002
-
-2005-08-26 colorbar modifications - now uses contourf instead of imshow
-           so that colors used by contourf are displayed correctly.
-           Added two new keyword args (cspacing and clabels) that are
-           only relevant for ContourMappable images - JSWHIT
-
-2005-08-24 Fixed a PS image bug reported by Darren - JDH
-
-2005-08-23 colors.py: change hex2color() to accept unicode strings as well as
-           normal strings. Use isinstance() instead of types.IntType etc - SC
-
-2005-08-16 removed data_clipping line and rc property - JDH
-
-2005-08-22 backend_svg.py: Remove redundant "x=0.0 y=0.0" from svg element.
-           Increase svg version from 1.0 to 1.1. Add viewBox attribute to svg
-           element to allow SVG documents to scale-to-fit into an arbitrary
-           viewport - SC
-
-2005-08-16 Added Eric's dot marker patch - JDH
-
-2005-08-08 Added blitting/animation for TkAgg - CM
-
-2005-08-05 Fixed duplicate tickline bug - JDH
-
-2005-08-05 Fixed a GTK animation bug that cropped up when doing
-           animations in gtk//gtkagg canvases that had widgets packed
-           above them
-
-2005-08-05 Added Clovis Goldemberg patch to the tk save dialog
-
-2005-08-04 Removed origin kwarg from backend.draw_image.  origin is
-           handled entirely by the frontend now.
-
-2005-07-03 Fixed a bug related to TeX commands in backend_ps
-
-2005-08-03 Fixed SVG images to respect upper and lower origins.
-
-2005-08-03 Added flipud method to image and removed it from to_str.
-
-2005-07-29 Modified figure.figaspect to take an array or number;
-           modified backend_svg to write utf-8 - JDH
-
-2005-07-30 backend_svg.py: embed png image files in svg rather than linking
-           to a separate png file, fixes bug #1245306 (thanks to Norbert Nemec
-           for the patch) - SC
-
-=======================================================================
-
-2005-07-29 Released 0.83.2
-
-2005-07-27 Applied SF patch 1242648: minor rounding error in
-           IndexDateFormatter in dates.py
-
-2005-07-27 Applied sf patch 1244732: Scale axis such that circle
-           looks like circle - JDH
-2005-07-29 Improved message reporting in texmanager and backend_ps - DSD
-
-2005-07-28 backend_gtk.py: update FigureCanvasGTK.draw() (needed due to the
-           recent expose_event() change) so that examples/anim.py works in the
-           usual way - SC
-
-2005-07-26 Added new widgets Cursor and HorizontalSpanSelector to
-           matplotlib.widgets.  See examples/widgets/cursor.py and
-           examples/widgets/span_selector.py - JDH
-
-2005-07-26 added draw event to mpl event hierarchy -- triggered on
-           figure.draw
-
-2005-07-26 backend_gtk.py: allow 'f' key to toggle window fullscreen mode
-
-2005-07-26 backend_svg.py: write "<.../>" elements all on one line and remove
-           surplus spaces - SC
-
-2005-07-25 backend_svg.py: simplify code by deleting GraphicsContextSVG and
-           RendererSVG.new_gc(), and moving the gc.get_capstyle() code into
-           RendererSVG._get_gc_props_svg() - SC
-
-2005-07-24 backend_gtk.py: call FigureCanvasBase.motion_notify_event() on
-           all motion-notify-events, not just ones where a modifier key or
-           button has been pressed (fixes bug report from Niklas Volbers) - SC
-
-2005-07-24 backend_gtk.py: modify print_figure() use own pixmap, fixing
-           problems where print_figure() overwrites the display pixmap.
-           return False from all button/key etc events - to allow the event
-           to propagate further - SC
-
-2005-07-23 backend_gtk.py: change expose_event from using set_back_pixmap();
-           clear() to draw_drawable() - SC
-
-2005-07-23 backend_gtk.py: removed pygtk.require()
-           matplotlib/__init__.py: delete 'FROZEN' and 'McPLError' which are
-           no longer used - SC
-
-2005-07-22 backend_gdk.py: removed pygtk.require() - SC
-
-2005-07-21 backend_svg.py: Remove unused imports. Remove methods doc strings
-           which just duplicate the docs from backend_bases.py. Rename
-           draw_mathtext to _draw_mathtext. - SC
-
-2005-07-17 examples/embedding_in_gtk3.py: new example demonstrating placing
-           a FigureCanvas in a gtk.ScrolledWindow - SC
-
-2005-07-14 Fixed a Windows related bug (#1238412) in texmanager - DSD
-
-2005-07-11 Fixed color kwarg bug, setting color=1 or 0 caused an
-                   exception - DSD
-
-2005-07-07 Added Eric's MA set_xdata Line2D fix - JDH
-
-2005-07-06 Made HOME/.matplotlib the new config dir where the
-           matplotlibrc file, the ttf.cache, and the tex.cache live.
-           The new default filenames in .matplotlib have no leading
-           dot and are not hidden.  e.g., the new names are matplotlibrc
-           tex.cache ttffont.cache.  This is how ipython does it so it
-           must be right.  If old files are found, a warning is issued
-           and they are moved to the new location.  Also fixed
-           texmanager to put all files, including temp files in
-           ~/.matplotlib/tex.cache, which allows you to usetex in
-           non-writable dirs.
-
-2005-07-05 Fixed bug #1231611 in subplots adjust layout.  The problem
-           was that the text cacheing mechanism was not using the
-           transformation affine in the key. - JDH
-
-2005-07-05 Fixed default backend import problem when using API (SF bug
-           # 1209354 -  see API_CHANGES for more info - JDH
-
-2005-07-04 backend_gtk.py: require PyGTK version 2.0.0 or higher - SC
-
-2005-06-30 setupext.py: added numarray_inc_dirs for building against
-           numarray when not installed in standard location - ADS
-
-2005-06-27 backend_svg.py: write figure width, height as int, not float.
-           Update to fix some of the pychecker warnings - SC
-
-2005-06-23 Updated examples/agg_test.py to demonstrate curved paths
-           and fills - JDH
-
-2005-06-21 Moved some texmanager and backend_agg tex caching to class
-           level rather than instance level - JDH
-
-2005-06-20 setupext.py: fix problem where _nc_backend_gdk is installed to the
-           wrong directory - SC
-
-2005-06-19 Added 10.4 support for CocoaAgg. - CM
-
-2005-06-18 Move Figure.get_width_height() to FigureCanvasBase and return
-           int instead of float. - SC
-
-2005-06-18 Applied Ted Drain's QtAgg patch: 1) Changed the toolbar to
-           be a horizontal bar of push buttons instead of a QToolbar
-           and updated the layout algorithms in the main window
-           accordingly.  This eliminates the ability to drag and drop
-           the toolbar and detach it from the window.  2) Updated the
-           resize algorithm in the main window to show the correct
-           size for the plot widget as requested.  This works almost
-           correctly right now.  It looks to me like the final size of
-           the widget is off by the border of the main window but I
-           haven't figured out a way to get that information yet.  We
-           could just add a small margin to the new size but that
-           seems a little hacky.  3) Changed the x/y location label to
-           be in the toolbar like the Tk backend instead of as a
-           status line at the bottom of the widget.  4) Changed the
-           toolbar pixmaps to use the ppm files instead of the png
-           files.  I noticed that the Tk backend buttons looked much
-           nicer and it uses the ppm files so I switched them.
-
-2005-06-17 Modified the gtk backend to not queue mouse motion events.
-           This allows for live updates when dragging a slider. - CM
-
-2005-06-17 Added starter CocoaAgg backend.  Only works on OS 10.3 for
-           now and requires PyObjC.  (10.4 is high priority) - CM
-
-2005-06-17 Upgraded pyparsing and applied Paul McGuire's suggestions
-           for speeding things up.  This more than doubles the speed
-           of mathtext in my simple tests. JDH
-
-2005-06-16 Applied David Cooke's subplot make_key patch
-
-========================================================
-
-2005-06-15 0.82 released
-
-2005-06-15 Added subplot config tool to GTK* backends -- note you must
-           now import the NavigationToolbar2 from your backend of
-           choice rather than from backend_gtk because it needs to
-           know about the backend specific canvas -- see
-           examples/embedding_in_gtk2.py.  Ditto for wx backend -- see
-           examples/embedding_in_wxagg.py
-
-2005-06-15 backend_cairo.py: updated to use pycairo 0.5.0 - SC
-
-2005-06-14 Wrote some GUI neutral widgets (Button, Slider,
-           RadioButtons, CheckButtons) in matplotlib.widgets.  See
-           examples/widgets/*.py - JDH
-
-2005-06-14 Exposed subplot parameters as rc vars and as the fig
-           SubplotParams instance subplotpars.  See
-           figure.SubplotParams, figure.Figure.subplots_adjust and the
-           pylab method subplots_adjust and
-           examples/subplots_adjust.py .  Also added a GUI neutral
-           widget for adjusting subplots, see
-           examples/subplot_toolbar.py - JDH
-
-2005-06-13 Exposed cap and join style for lines with new rc params and
-           line properties
-
-        lines.dash_joinstyle : miter        # miter|round|bevel
-        lines.dash_capstyle : butt          # butt|round|projecting
-        lines.solid_joinstyle : miter       # miter|round|bevel
-        lines.solid_capstyle : projecting   # butt|round|projecting
-
-
-2005-06-13 Added kwargs to Axes init
-
-2005-06-13 Applied Baptiste's tick patch - JDH
-
-2005-06-13 Fixed rc alias 'l' bug reported by Fernando by removing
-           aliases for mainlevel rc options. - JDH
-
-2005-06-10 Fixed bug #1217637 in ticker.py - DSD
-
-2005-06-07 Fixed a bug in texmanager.py: .aux files not being removed - DSD
-
-2005-06-08 Added Sean Richard's hist binning fix -- see API_CHANGES - JDH
-
-2005-06-07 Fixed a bug in texmanager.py: .aux files not being removed
-           - DSD
-
-
-=====================================================================
-
-2005-06-07 matplotlib-0.81 released
-
-2005-06-06 Added autoscale_on prop to axes
-
-2005-06-06 Added Nick's picker "among" patch - JDH
-
-2005-06-05 Fixed a TeX/LaTeX font discrepency in backend_ps. - DSD
-
-2005-06-05 Added a ps.distill option in rc settings. If True, postscript
-           output will be distilled using ghostscript, which should trim
-           the file size and allow it to load more quickly. Hopefully this
-           will address the issue of large ps files due to font
-           definitions. Tested with gnu-ghostscript-8.16. - DSD
-
-2005-06-03 Improved support for tex handling of text in backend_ps. - DSD
-
-2005-06-03 Added rc options to render text with tex or latex, and to select
-           the latex font package. - DSD
-
-2005-06-03 Fixed a bug in ticker.py causing a ZeroDivisionError
-
-2005-06-02 backend_gtk.py remove DBL_BUFFER, add line to expose_event to
-           try to fix pygtk 2.6 redraw problem - SC
-
-2005-06-01 The default behavior of ScalarFormatter now renders scientific
-           notation and large numerical offsets in a label at the end of
-           the axis. - DSD
-
-2005-06-01 Added Nicholas' frombyte image patch - JDH
-
-2005-05-31 Added vertical TeX support for agg - JDH
-
-2005-05-31 Applied Eric's cntr patch - JDH
-
-2005-05-27 Finally found the pesky agg bug (which Maxim was kind
-           enough to fix within hours) that was causing a segfault in
-           the win32 cached marker drawing.  Now windows users can get
-           the enormouse performance benefits of caced markers w/o
-           those occasional pesy screenshots. - JDH
-
-2005-05-27 Got win32 build system working again, using a more recent
-           version of gtk and pygtk in the win32 build, gtk 2.6 from
-           http://www.gimp.org/~tml/gimp/win32/downloads.html (you
-           will also need libpng12.dll to use these).  I haven't
-           tested whether this binary build of mpl for win32 will work
-           with older gtk runtimes, so you may need to upgrade.
-
-2005-05-27 Fixed bug where 2nd wxapp could be started if using wxagg
-           backend. - ADS
-
-2005-05-26 Added Daishi text with dash patch -- see examples/dashtick.py
-
-2005-05-26 Moved backend_latex functionality into backend_ps. If
-           text.usetex=True, the PostScript backend will use LaTeX to
-           generate the .ps or .eps file. Ghostscript is required for
-           eps output. - DSD
-
-2005-05-24 Fixed alignment and color issues in latex backend. - DSD
-
-2005-05-21 Fixed raster problem for small rasters with dvipng -- looks
-           like it was a premultipled alpha problem - JDH
-
-2005-05-20 Added linewidth and faceted kwarg to scatter to control
-           edgewidth and color.  Also added autolegend patch to
-           inspect line segments.
-
-2005-05-18 Added Orsay and JPL qt fixes - JDH
-
-2005-05-17 Added a psfrag latex backend -- some alignment issues need
-           to be worked out. Run with -dLaTeX and a *.tex file and
-           *.eps file are generated.  latex and dvips the generated
-           latex file to get ps output.  Note xdvi *does* not work,
-           you must generate ps.- JDH
-
-2005-05-13 Added Florent Rougon's Axis set_label1
-           patch
-
-2005-05-17 pcolor optimization, fixed bug in previous pcolor patch - JSWHIT
-
-2005-05-16 Added support for masked arrays in pcolor - JSWHIT
-
-
-2005-05-12 Started work on TeX text for antigrain using pngdvi -- see
-           examples/tex_demo.py and the new module
-           matplotlib.texmanager.  Rotated text not supported and
-           rendering small glyps is not working right yet.  BUt large
-           fontsizes and/or high dpi saved figs work great.
-
-2005-05-10 New image resize options interpolation options.  New values
-           for the interp kwarg are
-
-           'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36',
-           'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
-           'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc',
-           'lanczos', 'blackman'
-
-           See help(imshow) for details, particularly the
-           interpolation, filternorm and filterrad kwargs
-
-
-2005-05-10 Applied Eric's contour mem leak fixes - JDH
-
-2005-05-10 Extended python agg wrapper and started implementing
-           backend_agg2, an agg renderer based on the python wrapper.
-           This will be more flexible and easier to extend than the
-           current backend_agg.  See also examples/agg_test.py - JDH
-
-2005-05-09 Added Marcin's no legend patch to exclude lines from the
-           autolegend builder
-
-           plot(x, y, label='nolegend')
-
-2005-05-05 Upgraded to agg23
-
-2005-05-05 Added newscalarformatter_demo.py to examples. -DSD
-
-2005-05-04 Added NewScalarFormatter. Improved formatting of ticklabels,
-           scientific notation, and the ability to plot large large
-           numbers with small ranges, by determining a numerical offset.
-           See ticker.NewScalarFormatter for more details. -DSD
-
-2005-05-03 Added the option to specify a delimiter in pylab.load -DSD
-
-2005-04-28 Added Darren's line collection example
-
-2005-04-28 Fixed aa property in agg - JDH
-
-2005-04-27 Set postscript page size in .matplotlibrc - DSD
-
-2005-04-26 Added embedding in qt example. - JDH
-
-2005-04-14 Applied Michael Brady's qt backend patch: 1) fix a bug
-           where keyboard input was grabbed by the figure and not
-           released  2) turn on cursor changes  3) clean up a typo
-           and commented-out print statement. - JDH
-
-
-2005-04-14 Applied Eric Firing's masked data lines patch and contour
-           patch.  Support for masked arrays has been added to the
-           plot command and to the Line2D object.  Only the valid
-           points are plotted.  A "valid_only" kwarg was added to the
-           get_xdata() and get_ydata() methods of Line2D; by default
-           it is False, so that the original data arrays are
-           returned. Setting it to True returns the plottable points.
-           - see examples/masked_demo.py - JDH
-
-2005-04-13 Applied Tim Leslie's arrow key event handling patch - JDH
-
-
-=================================================================
-0.80 released
-
-2005-04-11 Applied a variant of rick's xlim/ylim/axis patch.  These
-           functions now take kwargs to let you selectively alter only
-           the min or max if desired.  e.g., xlim(xmin=2) or
-           axis(ymax=3).  They always return the new lim. - JDH
-
-
-2005-04-11 Incorporated Werner's wx patch -- wx backend should be
-           compatible with wxpython2.4 and recent versions of 2.5.
-           Some early versions of wxpython 2.5 will not work because
-           there was a temporary change in the dc API that was rolled
-           back to make it 2.4 compliant
-
-2005-04-11 modified tkagg show so that new figure window pops up on
-           call to figure
-
-2005-04-11 fixed wxapp init bug
-
-2005-04-02 updated backend_ps.draw_lines, draw_markers for use with the
-           new API - DSD
-
-2005-04-01 Added editable polygon example
-
-==========================================================================
-
-2005-03-31 0.74 released
-
-2005-03-30 Fixed and added checks for floating point inaccuracy in
-           ticker.Base - DSD
-
-2005-03-30 updated /ellipse definition in backend_ps.py to address bug
-           #1122041 - DSD
-
-2005-03-29 Added unicode support for Agg and PS - JDH
-
-2005-03-28 Added Jarrod's svg patch for text - JDH
-
-2005-03-28 Added Ludal's arrow and quiver patch - JDH
-
-2005-03-28 Added label kwarg to Axes to facilitate forcing the
-           creation of new Axes with otherwise identical attributes
-
-2005-03-28 Applied boxplot and OSX font search patches
-
-2005-03-27 Added ft2font NULL check to fix Japanase font bug - JDH
-
-2005-03-27 Added sprint legend patch plus John Gill's tests and fix --
-           see examples/legend_auto.py  - JDH
-
-==========================================================================
-
-2005-03-19 0.73.1 released
-
-2005-03-19 Reverted wxapp handling because it crashed win32 - JDH
-
-2005-03-18 Add .number attribute to figure objects returned by figure() - FP
-
-===========================================================================
-2005-03-18 0.73 released
-
-2005-03-16 Fixed labelsep bug
-
-2005-03-16 Applied Darren's ticker fix for small ranges - JDH
-
-2005-03-16 Fixed tick on horiz colorbar - JDH
-
-2005-03-16 Added Japanses winreg patch - JDH
-
-2005-03-15 backend_gtkagg.py: changed to use double buffering, this fixes
-           the problem reported Joachim Berdal Haga - "Parts of plot lagging
-       from previous frame in animation". Tested with anim.py and it makes
-           no noticable difference to performance (23.7 before, 23.6 after)
-       - SC
-
-2005-03-14 add src/_backend_gdk.c extension to provide a substitute function
-       for pixbuf.get_pixels_array(). Currently pixbuf.get_pixels_array()
-           only works with Numeric, and then only works if pygtk has been
-       compiled with Numeric support. The change provides a function
-       pixbuf_get_pixels_array() which works with Numeric and numarray and
-       is always available. It means that backend_gtk should be able to
-       display images and mathtext in all circumstances. - SC
-
-2005-03-11 Upgraded CXX to 5.3.1
-
-2005-03-10 remove GraphicsContextPS.set_linestyle()
-       and GraphicsContextSVG.set_linestyle() since they do no more than
-           the base class GraphicsContext.set_linestyle() - SC
-
-2005-03-09 Refactored contour functionality into dedicated module
-
-2005-03-09 Added Eric's contourf updates and Nadia's clabel functionality
-
-2005-03-09 Moved colorbar to figure.Figure to expose it for API developers
-          - JDH
-
-2005-03-09 backend_cairo.py: implemented draw_markers() - SC
-
-2005-03-09 cbook.py: only use enumerate() (the python version) if the builtin
-       version is not available.
-           Add new function 'izip' which is set to itertools.izip if available
-           and the python equivalent if not available. - SC
-
-2005-03-07 backend_gdk.py: remove PIXELS_PER_INCH from points_to_pixels(), but
-       still use it to adjust font sizes. This allows the GTK version of
-           line_styles.py to more closely match GTKAgg, previously the markers
-           were being drawn too large. - SC
-
-2005-03-01 Added Eric's contourf routines
-
-2005-03-01 Added start of proper agg SWIG wrapper.  I would like to
-           expose agg functionality directly a the user level and this
-           module will serve that purpose eventually, and will
-           hopefully take over most of the functionality of the
-           current _image and _backend_agg modules.  - JDH
-
-2005-02-28 Fixed polyfit / polyval to convert input args to float
-           arrays - JDH
-
-
-2005-02-25 Add experimental feature to backend_gtk.py to enable/disable
-           double buffering (DBL_BUFFER=True/False) - SC
-
-2005-02-24 colors.py change ColorConverter.to_rgb() so it always returns rgb
-           (and not rgba), allow cnames keys to be cached, change the exception
-           raised from RuntimeError to ValueError (like hex2color())
-       hex2color() use a regular expression to check the color string is
-           valid  - SC
-
-
-2005-02-23 Added rc param ps.useafm so backend ps can use native afm
-           fonts or truetype.  afme breaks mathtext but causes much
-           smaller font sizes and may result in images that display
-           better in some contexts (e.g., pdfs incorporated into latex
-           docs viewed in acrobat reader).  I would like to extend
-           this approach to allow the user to use truetype only for
-           mathtext, which should be easy.
-
-2005-02-23 Used sequence protocol rather than tuple in agg collection
-           drawing routines for greater flexibility - JDH
-
-
-===========================================================
-2005-02-22 0.72.1 released
-
-2005-02-21 fixed linestyles for collections -- contour now dashes for
-           levels <0
-
-2005-02-21 fixed ps color bug - JDH
-
-2005-02-15 fixed missing qt file
-
-2005-02-15 banished error_msg and report_error.  Internal backend
-           methods like error_msg_gtk are preserved.  backend writers,
-           check your backends, and diff against 0.72 to make sure I
-           did the right thing! - JDH
-
-
-2005-02-14 Added enthought traits to matplotlib tree - JDH
-
-===========================================================
-
-2005-02-14 0.72 released
-
-2005-02-14 fix bug in cbook alltrue() and onetrue() - SC
-
-2005-02-11 updated qtagg backend from Ted - JDH
-
-2005-02-11 matshow fixes for figure numbering, return value and docs - FP
-
-2005-02-09 new zorder example for fine control in zorder_demo.py - FP
-
-2005-02-09 backend renderer draw_lines now has transform in backend,
-           as in draw_markers; use numerix in _backend_agg, aded small
-           line optimization to agg
-
-2005-02-09 subplot now deletes axes that it overlaps
-
-2005-02-08 Added transparent support for gzipped files in load/save - Fernando
-           Perez (FP from now on).
-
-2005-02-08 Small optimizations in PS backend.  They may have a big impact for
-           large plots, otherwise they don't hurt  - FP
-
-2005-02-08 Added transparent support for gzipped files in load/save - Fernando
-           Perez (FP from now on).
-
-2005-02-07 Added newstyle path drawing for markers - only implemented
-           in agg currently - JDH
-
-2005-02-05 Some superscript text optimizations for ticking log plots
-
-2005-02-05 Added some default key press events to pylab figures: 'g'
-           toggles grid - JDH
-
-2005-02-05 Added some support for handling log switching for lines
-           that have nonpos data - JDH
-
-2005-02-04 Added Nadia's contour patch - contour now has matlab
-           compatible syntax; this also fixed an unequal sized contour
-           array bug- JDH
-
-2005-02-04 Modified GTK backends to allow the FigureCanvas to be resized
-       smaller than its original size - SC
-
-2005-02-02 Fixed a bug in dates mx2num - JDH
-
-2005-02-02 Incorporated Fernando's matshow - JDH
-
-2005-02-01 Added Fernando's figure num patch, including experemental
-           support for pylab backend switching, LineCOllection.color
-           warns, savefig now a figure method, fixed a close(fig) bug
-           - JDH
-
-2005-01-31 updated datalim in contour - JDH
-
-2005-01-30 Added backend_qtagg.py provided by Sigve Tjora - SC
-
-2005-01-28 Added tk.inspect rc param to .matplotlibrc.  IDLE users
-           should set tk.pythoninspect:True and interactive:True and
-           backend:TkAgg
-
-2005-01-28 Replaced examples/interactive.py with an updated script from
-           Fernando Perez - SC
-
-2005-01-27 Added support for shared x or y axes.  See
-           examples/shared_axis_demo.py and examples/ganged_plots.py
-
-2005-01-27 Added Lee's patch for missing symbols \leq and \LEFTbracket
-           to _mathtext_data - JDH
-
-2005-01-26 Added Baptiste's two scales patch -- see help(twinx) in the
-           pylab interface for more info.  See also
-           examples/two_scales.py
-
-2005-01-24 Fixed a mathtext parser bug that prevented font changes in
-           sub/superscripts - JDH
-
-2005-01-24 Fixed contour to work w/ interactive changes in colormaps,
-           clim, etc - JDH
-
-===============================================================
-
-2005-01-21 matplotlib-0.71 released
-
-2005-01-21 Refactored numerix to solve vexing namespace issues - JDH
-
-2005-01-21 Applied Nadia's contour bug fix - JDH
-
-2005-01-20 Made some changes to the contour routine - particularly
-           region=1 seems t fix a lot of the zigzag strangeness.
-           Added colormaps as default for contour - JDH
-
-2005-01-19 Restored builtin names which were overridden (min, max,
-           abs, round, and sum) in pylab.  This is a potentially
-           significant change for those who were relying on an array
-           version of those functions that previously overrode builtin
-           function names. - ADS
-
-2005-01-18 Added accents to mathtext: \hat, \breve, \grave, \bar,
-           \acute, \tilde, \vec, \dot, \ddot.  All of them have the
-           same syntax, e.g., to make an overbar you do \bar{o} or to
-           make an o umlaut you do \ddot{o}. The shortcuts are also
-           provided, e.g., \"o \'e \`e \~n \.x \^y - JDH
-
-2005-01-18 Plugged image resize memory leaks - JDH
-
-2005-01-18 Fixed some mathtext parser problems relating to superscripts
-
-2005-01-17 Fixed a yticklabel problem for colorbars under change of
-           clim - JDH
-
-2005-01-17 Cleaned up Destroy handling in wx reducing memleak/fig from
-           approx 800k to approx 6k- JDH
-
-2005-01-17 Added kappa to latex_to_bakoma - JDH
-
-2005-01-15 Support arbitrary colorbar axes and horizontal colorbars - JDH
-
-2005-01-15 Fixed colormap number of colors bug so that the colorbar
-           has the same discretization as the image - JDH
-
-2005-01-15 Added Nadia's x,y contour fix - JDH
-
-2005-01-15 backend_cairo: added PDF support which requires pycairo 0.1.4.
-           Its not usable yet, but is ready for when the Cairo PDF backend
-       matures - SC
-
-2005-01-15 Added Nadia's x,y contour fix
-
-2005-01-12 Fixed set clip_on bug in artist - JDH
-
-2005-01-11 Reverted pythoninspect in tkagg - JDH
-
-2005-01-09 Fixed a backend_bases event bug caused when an event is
-           triggered when location is None - JDH
-
-2005-01-07 Add patch from Stephen Walton to fix bug in pylab.load()
-           when the % character is included in a comment. - ADS
-
-2005-01-07 Added markerscale attribute to Legend class.  This allows
-           the marker size in the legend to be adjusted relative to
-           that in the plot. - ADS
-
-2005-01-06 Add patch from Ben Vanhaeren to make the FigureManagerGTK vbox a
-           public attribute - SC
-
-====================================================================
-2004-12-30 Release 0.70
-
-2004-12-28 Added coord location to key press and added a
-           examples/picker_demo.py
-
-2004-12-28 Fixed coords notification in wx toolbar - JDH
-
-2004-12-28 Moved connection and disconnection event handling to the
-           FigureCanvasBase.  Backends now only need to connect one
-           time for each of the button press, button release and key
-           press/release functions.  The base class deals with
-           callbacks and multiple connections.  This fixes flakiness
-           on some backends (tk, wx) in the presence of multiple
-           connections and/or disconnect - JDH
-
-2004-12-27 Fixed PS mathtext bug where color was not set - Jochen
-           please verify correct - JDH
-
-2004-12-27 Added Shadow class and added shadow kwarg to legend and pie
-           for shadow effect - JDH
-
-2004-12-27 Added pie charts and new example/pie_demo.py
-
-2004-12-23 Fixed an agg text rotation alignment bug, fixed some text
-           kwarg processing bugs, and added examples/text_rotation.py
-           to explain and demonstrate how text rotations and alignment
-           work in matplotlib. - JDH
-
-======================================================================
-
-2004-12-22 0.65.1 released - JDH
-
-2004-12-22 Fixed colorbar bug which caused colorbar not to respond to
-           changes in colormap in some instances - JDH
-
-2004-12-22 Refactored NavigationToolbar in tkagg to support app
-           embedding , init now takes (canvas, window) rather than
-           (canvas, figman) - JDH
-
-2004-12-21 Refactored axes and subplot management - removed
-           add_subplot and add_axes from the FigureManager.  classic
-           toolbar updates are done via an observer pattern on the
-           figure using add_axobserver.  Figure now maintains the axes
-           stack (for gca) and supports axes deletion.  Ported changes
-           to GTK, Tk, Wx, and FLTK.  Please test!  Added delaxes - JDH
-
-2004-12-21 Lots of image optimizations - 4x performance boost over
-           0.65 JDH
-
-2004-12-20 Fixed a figimage bug where the axes is shown and modified
-           tkagg to move the destroy binding into the show method.
-
-2004-12-18 Minor refactoring of NavigationToolbar2 to support
-           embedding in an application - JDH
-
-2004-12-14 Added linestyle to collections (currently broken) -  JDH
-
-2004-12-14 Applied Nadia's setupext patch to fix libstdc++ link
-           problem with contour and solaris  -JDH
-
-2004-12-14 A number of pychecker inspired fixes, including removal of
-           True and False from cbook which I erroneously thought was
-           needed for python2.2 - JDH
-
-2004-12-14 Finished porting doc strings for set introspection.
-           Used silent_list for many get funcs that return
-           lists. JDH
-
-2004-12-13 dates.py: removed all timezone() calls, except for UTC - SC
-
-======================================================================
-
-2004-12-13 0.65 released - JDH
-
-2004-12-13 colors.py: rgb2hex(), hex2color() made simpler (and faster), also
-           rgb2hex() - added round() instead of integer truncation
-           hex2color() - changed 256.0 divisor to 255.0, so now
-           '#ffffff' becomes (1.0,1.0,1.0) not (0.996,0.996,0.996) - SC
-
-2004-12-11 Added ion and ioff to pylab interface - JDH
-
-2004-12-11 backend_template.py: delete FigureCanvasTemplate.realize() - most
-           backends don't use it and its no longer needed
-
-           backend_ps.py, backend_svg.py: delete show() and
-           draw_if_interactive() - they are not needed for image backends
-
-           backend_svg.py: write direct to file instead of StringIO
-           - SC
-
-2004-12-10 Added zorder to artists to control drawing order of lines,
-           patches and text in axes.  See examples/zoder_demo.py - JDH
-
-2004-12-10 Fixed colorbar bug with scatter - JDH
-
-2004-12-10 Added Nadia Dencheva <dencheva@stsci.edu> contour code - JDH
-
-2004-12-10 backend_cairo.py: got mathtext working - SC
-
-2004-12-09 Added Norm Peterson's svg clipping patch
-
-2004-12-09 Added Matthew Newville's wx printing patch
-
-2004-12-09 Migrated matlab to pylab - JDH
-
-2004-12-09 backend_gtk.py: split into two parts
-           - backend_gdk.py - an image backend
-           - backend_gtk.py - A GUI backend that uses GDK - SC
-
-2004-12-08 backend_gtk.py: remove quit_after_print_xvfb(*args), show_xvfb(),
-       Dialog_MeasureTool(gtk.Dialog) one month after sending mail to
-           matplotlib-users asking if anyone still uses these functions - SC
-
-2004-12-02 backend_bases.py, backend_template.py: updated some of the method
-           documentation to make them consistent with each other - SC
-
-2004-12-04 Fixed multiple bindings per event for TkAgg mpl_connect and
-    mpl_disconnect.  Added a "test_disconnect" command line
-    parameter to coords_demo.py  JTM
-
-2004-12-04 Fixed some legend bugs JDH
-
-2004-11-30 Added over command for oneoff over plots.  e.g., over(plot, x,
-           y, lw=2).  Works with any plot function.
-
-2004-11-30 Added bbox property to text - JDH
-
-2004-11-29 Zoom to rect now respect reversed axes limits (for both
-           linear and log axes). - GL
-
-2004-11-29 Added the over command to the matlab interface.  over
-           allows you to add an overlay plot regardless of hold
-       state. - JDH
-
-2004-11-25 Added Printf to mplutils for printf style format string
-           formatting in C++ (should help write better exceptions)
-
-2004-11-24 IMAGE_FORMAT: remove from agg and gtkagg backends as its no longer
-           used - SC
-
-2004-11-23 Added matplotlib compatible set and get introspection.  See
-           set_and_get.py
-
-2004-11-23 applied Norbert's patched and exposed legend configuration
-           to kwargs - JDH
-
-2004-11-23 backend_gtk.py: added a default exception handler - SC
-
-2004-11-18 backend_gtk.py: change so that the backend knows about all image
-           formats and does not need to use IMAGE_FORMAT in other backends - SC
-
-2004-11-18 Fixed some report_error bugs in string interpolation as
-           reported on SF bug tracker- JDH
-
-2004-11-17 backend_gtkcairo.py: change so all print_figure() calls render using
-           Cairo and get saved using backend_gtk.print_figure() - SC
-
-2004-11-13 backend_cairo.py: Discovered the magic number (96) required for
-       Cairo PS plots to come out the right size. Restored Cairo PS output
-       and added support for landscape mode - SC
-
-2004-11-13 Added ishold - JDH
-
-2004-11-12 Added many new matlab colormaps - autumn bone cool copper
-      flag gray hot hsv jet pink prism spring summer winter - PG
-
-2004-11-11 greatly simplify the emitted postscript code - JV
-
-2004-11-12 Added new plotting functions spy, spy2 for sparse matrix
-           visualization - JDH
-
-2004-11-11 Added rgrids, thetragrids for customizing the grid
-           locations and labels for polar plots - JDH
-
-2004-11-11 make the Gtk backends build without an X-server connection - JV
-
-2004-11-10 matplotlib/__init__.py: Added FROZEN to signal we are running under
-           py2exe (or similar) - is used by backend_gtk.py - SC
-
-2004-11-09 backend_gtk.py: Made fix suggested by maffew@cat.org.au
-       to prevent problems when py2exe calls pygtk.require(). - SC
-
-2004-11-09 backend_cairo.py: Added support for printing to a fileobject.
-           Disabled cairo PS output which is not working correctly. - SC
-
-==============================================================
-2004-11-08 matplotlib-0.64 released
-
-2004-11-04 Changed -dbackend processing to only use known backends, so
-           we don't clobber other non-matplotlib uses of -d, like -debug.
-
-2004-11-04 backend_agg.py: added IMAGE_FORMAT to list the formats that the
-           backend can save to.
-           backend_gtkagg.py: added support for saving JPG files by using the
-           GTK backend - SC
-
-2004-10-31 backend_cairo.py: now produces png and ps files (although the figure
-           sizing needs some work). pycairo did not wrap all the necessary
-           functions, so I wrapped them myself, they are included in the
-           backend_cairo.py doc string. - SC
-
-2004-10-31 backend_ps.py: clean up the generated PostScript code, use
-           the PostScript stack to hold itermediate values instead of
-           storing them in the dictionary. - JV
-
-2004-10-30 backend_ps.py, ft2font.cpp, ft2font.h: fix the position of
-           text in the PostScript output.  The new FT2Font method
-           get_descent gives the distance between the lower edge of
-           the bounding box and the baseline of a string.  In
-           backend_ps the text is shifted upwards by this amount. - JV
-
-2004-10-30 backend_ps.py: clean up the code a lot.  Change the
-           PostScript output to be more DSC compliant.  All
-           definitions for the generated PostScript are now in a
-           PostScript dictionary 'mpldict'.  Moved the long comment
-           about drawing ellipses from the PostScript output into a
-           Python comment. - JV
-
-2004-10-30 backend_gtk.py: removed FigureCanvasGTK.realize() as its no longer
-           needed. Merged ColorManager into GraphicsContext
-           backend_bases.py: For set_capstyle/joinstyle() only set cap or
-           joinstyle if there is no error. - SC
-
-2004-10-30 backend_gtk.py: tidied up print_figure() and removed some of the
-           dependency on widget events - SC
-
-2004-10-28 backend_cairo.py: The renderer is complete except for mathtext,
-           draw_image() and clipping. gtkcairo works reasonably well. cairo
-           does not yet create any files since I can't figure how to set the
-           'target surface', I don't think pycairo wraps the required functions
-       - SC
-
-2004-10-28 backend_gtk.py: Improved the save dialog (GTK 2.4 only) so it
-           presents the user with a menu of supported image formats - SC
-
-2004-10-28 backend_svg.py: change print_figure() to restore original face/edge
-           color
-           backend_ps.py : change print_figure() to ensure original face/edge
-           colors are restored even if there's an IOError - SC
-
-2004-10-27 Applied Norbert's errorbar patch to support barsabove kwarg
-
-2004-10-27 Applied Norbert's legend patch to support None handles
-
-2004-10-27 Added two more backends: backend_cairo.py, backend_gtkcairo.py
-           They are not complete yet, currently backend_gtkcairo just renders
-           polygons, rectangles and lines - SC
-
-2004-10-21 Added polar axes and plots - JDH
-
-2004-10-20 Fixed corrcoef bug exposed by corrcoef(X) where X is matrix
-           - JDH
-
-2004-10-19 Added kwarg support to xticks and yticks to set ticklabel
-           text properties -- thanks to T. Edward Whalen for the suggestion
-
-2004-10-19 Added support for PIL images in imshow(), image.py - ADS
-
-2004-10-19 Re-worked exception handling in _image.py and _transforms.py
-           to avoid masking problems with shared libraries.  - JTM
-
-2004-10-16 Streamlined the matlab interface wrapper, removed the
-           noplot option to hist - just use mlab.hist instead.
-
-2004-09-30 Added Andrew Dalke's strftime code to extend the range of
-           dates supported by the DateFormatter - JDH
-
-2004-09-30 Added barh - JDH
-
-2004-09-30 Removed fallback to alternate array package from numerix
-           so that ImportErrors are easier to debug.           JTM
-
-2004-09-30 Add GTK+ 2.4 support for the message in the toolbar. SC
-
-2004-09-30 Made some changes to support python22 - lots of doc
-           fixes. - JDH
-
-2004-09-29 Added a Verbose class for reporting - JDH
-
-==============================================================
-
-2004-09-28 Released 0.63.0
-
-2004-09-28 Added save to file object for agg - see
-           examples/print_stdout.py
-
-2004-09-24 Reorganized all py code to lib subdir
-
-2004-09-24 Fixed axes resize image edge effects on interpolation -
-           required upgrade to agg22 which fixed an agg bug related to
-           this problem
-
-2004-09-20 Added toolbar2 message display for backend_tkagg.  JTM
-
-
-2004-09-17 Added coords formatter attributes.  These must be callable,
-           and return a string for the x or y data. These will be used
-           to format the x and y data for the coords box.  Default is
-           the axis major formatter.  e.g.:
-
-         # format the coords message box
-         def price(x): return '$%1.2f'%x
-         ax.format_xdata = DateFormatter('%Y-%m-%d')
-         ax.format_ydata = price
-
-
-2004-09-17 Total rewrite of dates handling to use python datetime with
-           num2date, date2num and drange.  pytz for timezone handling,
-           dateutils for spohisticated ticking.  date ranges from
-           0001-9999 are supported.  rrules allow arbitrary date
-           ticking.  examples/date_demo*.py converted to show new
-           usage.  new example examples/date_demo_rrule.py shows how
-           to use rrules in date plots.  The date locators are much
-           more general and almost all of them have different
-           constructors.  See matplotlib.dates for more info.
-
-2004-09-15 Applied Fernando's backend __init__ patch to support easier
-           backend maintenance.  Added his numutils to mlab.  JDH
-
-2004-09-16 Re-designated all files in matplotlib/images as binary and
-       w/o keyword substitution using "cvs admin -kb *.svg ...".
-       See binary files in "info cvs" under Linux.  This was messing
-       up builds from CVS on windows since CVS was doing lf -> cr/lf
-       and keyword substitution on the bitmaps.  - JTM
-
-2004-09-15 Modified setup to build array-package-specific extensions
-       for those extensions which are array-aware.  Setup builds
-       extensions automatically for either Numeric, numarray, or
-       both, depending on what you have installed.  Python proxy
-       modules for the array-aware extensions import the version
-       optimized for numarray or Numeric determined by numerix.
-           - JTM
-
-2004-09-15 Moved definitions of infinity from mlab to numerix to avoid
-       divide by zero warnings for numarray - JTM
-
-2004-09-09 Added axhline, axvline, axhspan and axvspan
-
-==============================================================
-2004-08-30 matplotlib 0.62.4 released
-
-2004-08-30 Fixed a multiple images with different extent bug,
-           Fixed markerfacecolor as RGB tuple
-
-2004-08-27 Mathtext now more than 5x faster.  Thanks to Paul Mcguire
-           for fixes both to pyparsing and to the matplotlib grammar!
-           mathtext broken on python2.2
-
-2004-08-25 Exposed Darren's and Greg's log ticking and formatting
-           options to semilogx and friends
-
-2004-08-23 Fixed grid w/o args to toggle grid state - JDH
-
-2004-08-11 Added Gregory's log patches for major and minor ticking
-
-2004-08-18 Some pixel edge effects fixes for images
-
-2004-08-18 Fixed TTF files reads in backend_ps on win32.
-
-2004-08-18 Added base and subs properties for logscale plots, user
-           modifiable using
-           set_[x,y]scale('log',base=b,subs=[mt1,mt2,...]) - GL
-
-2004-08-18 fixed a bug exposed by trying to find the HOME dir on win32
-           thanks to Alan Issac for pointing to the light - JDH
-
-2004-08-18 fixed errorbar bug in setting ecolor - JDH
-
-2004-08-12 Added Darren Dale's exponential ticking patch
-
-2004-08-11 Added Gregory's fltkagg backend
-
-==========================================================================
-2004-08-09 matplotlib-0.61.0 released
-
-2004-08-08 backend_gtk.py: get rid of the final PyGTK deprecation warning by
-           replacing gtkOptionMenu with gtkMenu in the 2.4 version of the
-           classic toolbar.
-
-2004-08-06 Added Tk zoom to rect rectangle, proper idle drawing, and
-           keybinding - JDH
-
-2004-08-05 Updated installing.html and INSTALL - JDH
-
-2004-08-01 backend_gtk.py: move all drawing code into the expose_event()
-
-2004-07-28 Added Greg's toolbar2 and backend_*agg patches - JDH
-
-2004-07-28 Added image.imread with support for loading png into
-           numerix arrays
-
-2004-07-28 Added key modifiers to events - implemented dynamic updates
-           and rubber banding for interactive pan/zoom - JDH
-
-2004-07-27 did a readthrough of SVG, replacing all the string
-           additions with string interps for efficiency, fixed some
-           layout problems, added font and image support (through
-           external pngs) - JDH
-
-2004-07-25 backend_gtk.py: modify toolbar2 to make it easier to support GTK+
-           2.4. Add GTK+ 2.4 toolbar support. - SC
-
-2004-07-24 backend_gtk.py: Simplified classic toolbar creation - SC
-
-2004-07-24 Added images/matplotlib.svg to be used when GTK+ windows are
-           minimised - SC
-
-2004-07-22 Added right mouse click zoom for NavigationToolbar2 panning
-       mode. - JTM
-
-2004-07-22 Added NavigationToolbar2 support to backend_tkagg.
-       Minor tweak to backend_bases.  - JTM
-
-2004-07-22 Incorporated Gergory's renderer cache and buffer object
-           cache - JDH
-
-2004-07-22 Backend_gtk.py: Added support for GtkFileChooser, changed
-           FileSelection/FileChooser so that only one instance pops up,
-           and made them both modal. - SC
-
-2004-07-21 Applied backend_agg memory leak patch from hayden -
-           jocallo@online.no.  Found and fixed a leak in binary
-           operations on transforms.  Moral of the story: never incref
-           where you meant to decref!  Fixed several leaks in ft2font:
-           moral of story: almost always return Py::asObject over
-           Py::Object - JDH
-
-2004-07-21 Fixed a to string memory allocation bug in agg and image
-           modules - JDH
-
-2004-07-21 Added mpl_connect and mpl_disconnect to matlab interface -
-           JDH
-
-2004-07-21 Added beginnings of users_guide to CVS - JDH
-
-2004-07-20 ported toolbar2 to wx
-
-2004-07-20 upgraded to agg21 - JDH
-
-2004-07-20 Added new icons for toolbar2 - JDH
-
-2004-07-19 Added vertical mathtext for *Agg and GTK - thanks Jim
-           Benson! - JDH
-
-2004-07-16 Added ps/eps/svg savefig options to wx and gtk JDH
-
-2004-07-15 Fixed python framework tk finder in setupext.py - JDH
-
-2004-07-14 Fixed layer images demo which was broken by the 07/12 image
-           extent fixes - JDH
-
-2004-07-13 Modified line collections to handle arbitrary length
-           segments for each line segment. - JDH
-
-2004-07-13 Fixed problems with image extent and origin -
-           set_image_extent deprecated.  Use imshow(blah, blah,
-           extent=(xmin, xmax, ymin, ymax) instead  - JDH
-
-2004-07-12 Added prototype for new nav bar with codifed event
-           handling.  Use mpl_connect rather than connect for
-           matplotlib event handling.  toolbar style determined by rc
-           toolbar param.  backend status: gtk: prototype, wx: in
-           progress, tk: not started - JDH
-
-2004-07-11 backend_gtk.py: use builtin round() instead of redefining it.
-           - SC
-
-2004-07-10 Added embedding_in_wx3 example - ADS
-
-2004-07-09 Added dynamic_image_wxagg to examples - ADS
-
-2004-07-09 added support for embedding TrueType fonts in PS files - PEB
-
-2004-07-09 fixed a sfnt bug exposed if font cache is not built
-
-2004-07-09 added default arg None to matplotlib.matlab grid command to
-           toggle current grid state
-
-============================
-
-2004-07-08 0.60.2 released
-
-2004-07-08 fixed a mathtext bug for '6'
-
-2004-07-08 added some numarray bug workarounds
-
-=======
-
-2004-07-07 0.60 released
-
-2004-07-07 Fixed a bug in dynamic_demo_wx
-
-
-2004-07-07 backend_gtk.py: raise SystemExit immediately if
-       'import pygtk' fails - SC
-
-2004-07-05 Added new mathtext commands \over{sym1}{sym2} and
-           \under{sym1}{sym2}
-
-2004-07-05 Unified image and patch collections colormapping and
-           scaling args.  Updated docstrings for all - JDH
-
-2004-07-05 Fixed a figure legend bug and added
-           examples/figlegend_demo.py - JDH
-
-2004-07-01 Fixed a memory leak in image and agg to string methods
-
-2004-06-25 Fixed fonts_demo spacing problems and added a kwargs
-           version of the fonts_demo fonts_demo_kw.py - JDH
-
-2004-06-25 finance.py: handle case when urlopen() fails - SC
-
-2004-06-24 Support for multiple images on axes and figure, with
-           blending.  Support for upper and lower image origins.
-           clim, jet and gray functions in matlab interface operate on
-           current image - JDH
-
-2004-06-23 ported code to Perry's new colormap and norm scheme.  Added
-           new rc attributes image.aspect, image.interpolation,
-           image.cmap, image.lut, image.origin
-
-2004-06-20 backend_gtk.py: replace gtk.TRUE/FALSE with True/False.
-       simplified _make_axis_menu(). - SC
-
-2004-06-19 anim_tk.py: Updated to use TkAgg by default (not GTK)
-           backend_gtk_py: Added '_' in front of private widget
-           creation functions - SC
-
-2004-06-17 backend_gtk.py: Create a GC once in realise(), not every
-           time draw() is called. - SC
-
-2004-06-16 Added new py2exe FAQ entry and added frozen support in
-           get_data_path for py2exe - JDH
-
-2004-06-16 Removed GTKGD, which was always just a proof-of-concept
-           backend - JDH
-
-2004-06-16 backend_gtk.py updates to replace deprecated functions
-       gtk.mainquit(), gtk.mainloop().
-           Update NavigationToolbar to use the new GtkToolbar API - SC
-
-2004-06-15 removed set_default_font from font_manager to unify font
-           customization using the new function rc.  See API_CHANGES
-           for more info.  The examples fonts_demo.py and
-           fonts_demo_kw.py are ported to the new API - JDH
-
-2004-06-15 Improved (yet again!) axis scaling to properly handle
-           singleton plots - JDH
-
-2004-06-15 Restored the old FigureCanvasGTK.draw() - SC
-
-2004-06-11 More memory leak fixes in transforms and ft2font - JDH
-
-2004-06-11 Eliminated numerix .numerix file and environment variable
-       NUMERIX.  Fixed bug which prevented command line overrides:
-       --numarray or --numeric. - JTM
-
-2004-06-10 Added rc configuration function rc; deferred all rc param
-           setting until object creation time; added new rc attrs:
-           lines.markerfacecolor, lines.markeredgecolor,
-           lines.markeredgewidth, patch.linewidth, patch.facecolor,
-           patch.edgecolor, patch.antialiased; see
-           examples/customize_rc.py for usage - JDH
-
-
----------------------------------------------------------------
-2004-06-09 0.54.2 released
-
-2004-06-08 Rewrote ft2font using CXX as part of general memory leak
-           fixes; also fixed transform memory leaks  - JDH
-
-2004-06-07 Fixed several problems with log ticks and scaling - JDH
-
-2004-06-07 Fixed width/height issues for images - JDH
-
-2004-06-03 Fixed draw_if_interactive bug for semilogx;
-
-2004-06-02 Fixed text clipping to clip to axes - JDH
-
-2004-06-02 Fixed leading newline text and multiple newline text - JDH
-
-2004-06-02 Fixed plot_date to return lines - JDH
-
-2004-06-01 Fixed plot to work with x or y having shape N,1 or 1,N - JDH
-
-2004-05-31 Added renderer markeredgewidth attribute of Line2D. - ADS
-
-2004-05-29 Fixed tick label clipping to work with navigation.
-
-2004-05-28 Added renderer grouping commands to support groups in
-           SVG/PS. - JDH
-
-2004-05-28 Fixed, this time I really mean it, the singleton plot
-           plot([0]) scaling bug; Fixed Flavio's shape = N,1 bug - JDH
-
-2004-05-28 added colorbar - JDH
-
-2004-05-28 Made some changes to the matplotlib.colors.Colormap to
-           propertly support clim - JDH
-
------------------------------------------------------------------
-2004-05-27 0.54.1 released
-
-2004-05-27 Lots of small bug fixes: rotated text at negative angles,
-           errorbar capsize and autoscaling, right tick label
-           position, gtkagg on win98, alpha of figure background,
-           singleton plots - JDH
-
-2004-05-26 Added Gary's errorbar stuff and made some fixes for length
-           one plots and constant data plots - JDH
-
-2004-05-25 Tweaked TkAgg backend so that canvas.draw() works
-       more like the other backends.  Fixed a bug resulting
-       in 2 draws per figure mangager show().      - JTM
-
-------------------------------------------------------------
-2004-05-19 0.54 released
-
-2004-05-18 Added newline seperated text with rotations to text.Text
-           layout - JDH
-
-2004-05-16 Added fast pcolor using PolyCollections.  - JDH
-
-2004-05-14 Added fast polygon collections - changed scatter to use
-           them.  Added multiple symbols to scatter.  10x speedup on
-       large scatters using *Agg and 5X speedup for ps. - JDH
-
-2004-05-14 On second thought... created an "nx" namespace in
-       in numerix which maps type names onto typecodes
-       the same way for both numarray and Numeric.  This
-       undoes my previous change immediately below. To get a
-       typename for Int16 useable in a Numeric extension:
-       say nx.Int16. - JTM
-
-2004-05-15 Rewrote transformation class in extension code, simplified
-           all the artist constructors - JDH
-
-2004-05-14 Modified the type definitions in the numarray side of
-       numerix so that they are Numeric typecodes and can be
-       used with Numeric compilex extensions.  The original
-       numarray types were renamed to type<old_name>.    - JTM
-
-2004-05-06 Gary Ruben sent me a bevy of new plot symbols and markers.
-           See matplotlib.matlab.plot - JDH
-
-2004-05-06 Total rewrite of mathtext - factored ft2font stuff out of
-           layout engine and defined abstract class for font handling
-           to lay groundwork for ps mathtext.  Rewrote parser and made
-           layout engine much more precise.  Fixed all the layout
-           hacks.  Added spacing commands \/ and \hspace.  Added
-           composite chars and defined angstrom. - JDH
-
-2004-05-05 Refactored text instances out of backend; aligned
-           text with arbitrary rotations is now supported - JDH
-
-2004-05-05 Added a Matrix capability for numarray to numerix.  JTM
-
-2004-05-04 Updated whats_new.html.template to use dictionary and
-           template loop, added anchors for all versions and items;
-           updated goals.txt to use those for links. PG
-
-2004-05-04 Added fonts_demo.py to backend_driver, and AFM and TTF font
-           caches to font_manager.py - PEB
-
-2004-05-03 Redid goals.html.template to use a goals.txt file that
-           has a pseudo restructured text organization. PG
-
-2004-05-03 Removed the close buttons on all GUIs and added the python
-           #! bang line to the examples following Steve Chaplin's
-       advice on matplotlib dev
-
-2004-04-29 Added CXX and rewrote backend_agg using it; tracked down
-           and fixed agg memory leak - JDH
-
-2004-04-29 Added stem plot command - JDH
-
-2004-04-28 Fixed PS scaling and centering bug - JDH
-
-2004-04-26 Fixed errorbar autoscale problem - JDH
-
-2004-04-22 Fixed copy tick attribute bug, fixed singular datalim
-           ticker bug; fixed mathtext fontsize interactive bug. - JDH
-
-2004-04-21 Added calls to draw_if_interactive to axes(), legend(),
-           and pcolor().  Deleted duplicate pcolor(). - JTM
-
-------------------------------------------------------------
-2004-04-21 matplotlib 0.53 release
-
-2004-04-19 Fixed vertical alignment bug in PS backend - JDH
-
-2004-04-17 Added support for two scales on the "same axes" with tick
-           different ticking and labeling left right or top bottom.
-           See examples/two_scales.py - JDH
-
-2004-04-17 Added default dirs as list rather than single dir in
-       setupext.py - JDH
-
-2004-04-16 Fixed wx exception swallowing bug (and there was much
-           rejoicing!) - JDH
-
-2004-04-16 Added new ticker locator a formatter, fixed default font
-           return - JDH
-
-2004-04-16 Added get_name method to FontProperties class. Fixed font lookup
-       in GTK and WX backends. - PEB
-
-2004-04-16 Added get- and set_fontstyle msethods. - PEB
-
-2004-04-10 Mathtext fixes: scaling with dpi,  - JDH
-
-2004-04-09 Improved font detection algorithm. - PEB
-
-2004-04-09 Move deprecation warnings from text.py to __init__.py - PEB
-
-2004-04-09 Added default font customization - JDH
-
-2004-04-08 Fixed viewlim set problem on axes and axis. - JDH
-
-2004-04-07 Added validate_comma_sep_str and font properties paramaters to
-       __init__.  Removed font families and added rcParams to
-       FontProperties __init__ arguments in font_manager.  Added
-       default font property parameters to .matplotlibrc file with
-       descriptions.  Added deprecation warnings to the get_- and
-       set_fontXXX methods of the Text object. - PEB
-
-2004-04-06 Added load and save commands for ASCII data - JDH
-
-2004-04-05 Improved font caching by not reading AFM fonts until needed.
-       Added better documentation.  Changed the behaviour of the
-           get_family, set_family, and set_name methods of FontProperties.
-       - PEB
-
-2004-04-05 Added WXAgg backend - JDH
-
-2004-04-04 Improved font caching in backend_agg with changes to
-           font_manager - JDH
-
-2004-03-29 Fixed fontdicts and kwargs to work with new font manager -
-           JDH
-
-
-
-
-
-
-
-
---------------------------------------------
-This is the Old, stale, never used changelog
-
-2002-12-10 - Added a TODO file and CHANGELOG.  Lots to do -- get
-             crackin'!
-
-           - Fixed y zoom tool bug
-
-           - Adopted a compromise fix for the y data clipping problem.
-             The problem was that for solid lines, the y data clipping
-             (as opposed to the gc clipping) caused artifactual
-             horizontal solid lines near the ylim boundaries.  I did a
-             5% offset hack in Axes set_ylim functions which helped,
-             but didn't cure the problem for very high gain y zooms.
-             So I disabled y data clipping for connected lines .  If
-             you need extensive y clipping, either plot(y,x) because x
-             data clipping is always enabled, or change the _set_clip
-             code to 'if 1' as indicated in the lines.py src.  See
-             _set_clip in lines.py and set_ylim in figure.py for more
-             information.
-
-
-2002-12-11 - Added a measurement dialog to the figure window to
-             measure axes position and the delta x delta y with a left
-             mouse drag.  These defaults can be overridden by deriving
-             from Figure and overrriding button_press_event,
-             button_release_event, and motion_notify_event,
-             and _dialog_measure_tool.
-
-           - fixed the navigation dialog so you can check the axes the
-             navigation buttons apply to.
-
-
-
-2003-04-23 Released matplotlib v0.1
-
-2003-04-24 Added a new line style PixelLine2D which is the plots the
-           markers as pixels (as small as possible) with format
-           symbol ','
-
-           Added a new class Patch with derived classes Rectangle,
-           RegularPolygon and Circle
-
-2003-04-25 Implemented new functions errorbar, scatter and hist
-
-           Added a new line type '|' which is a vline.  syntax is
-       plot(x, Y, '|') where y.shape = len(x),2 and each row gives
-       the ymin,ymax for the respective values of x.  Previously I
-       had implemented vlines as a list of lines, but I needed the
-       efficientcy of the numeric clipping for large numbers of
-       vlines outside the viewport, so I wrote a dedicated class
-       Vline2D which derives from Line2D
-
-
-2003-05-01
-
-   Fixed ytick bug where grid and tick show outside axis viewport with gc clip
-
-2003-05-14
-
-   Added new ways to specify colors 1) matlab format string 2)
-   html-style hex string, 3) rgb tuple.  See examples/color_demo.py
-
-2003-05-28
-
-    Changed figure rendering to draw form a pixmap to reduce flicker.
-    See examples/system_monitor.py for an example where the plot is
-    continusouly updated w/o flicker.  This example is meant to
-    simulate a system monitor that shows free CPU, RAM, etc...
-
-2003-08-04
-
-    Added Jon Anderson's GTK shell, which doesn't require pygtk to
-    have threading built-in and looks nice!
-
-2003-08-25
-
-   Fixed deprecation warnings for python2.3 and pygtk-1.99.18
-
-2003-08-26
-
-   Added figure text with new example examples/figtext.py
-
-
-2003-08-27
-
-   Fixed bugs i figure text with font override dictionairies and fig
-   text that was placed outside the window bounding box
-
-2003-09-1 thru 2003-09-15
-
-   Added a postscript and a GD module backend
-
-2003-09-16
-
-   Fixed font scaling and point scaling so circles, squares, etc on
-   lines will scale with DPI as will fonts.  Font scaling is not fully
-   implemented on the gtk backend because I have not figured out how
-   to scale fonts to arbitrary sizes with GTK
-
-2003-09-17
-
-   Fixed figure text bug which crashed X windows on long figure text
-   extending beyond display area.  This was, I believe, due to the
-   vestigial erase functionality that was no longer needed since I
-   began rendering to a pixmap
-
-2003-09-30  Added legend
-
-2003-10-01 Fixed bug when colors are specified with rgb tuple or hex
-   string.
-
-
-2003-10-21  Andrew Straw provided some legend code which I modified
-      and incorporated.  Thanks Andrew!
-
-2003-10-27 Fixed a bug in axis.get_view_distance that affected zoom in
-  versus out with interactive scrolling, and a bug in the axis text
-  reset system that prevented the text from being redrawn on a
-  interactive gtk view lim set with the widget
-
-  Fixed a bug in that prevented the manual setting of ticklabel
-  strings from working properly
-
-2003-11-02 - Do a nearest neighbor color pick on GD when
-             allocate fails
-
-2003-11-02
-   - Added pcolor plot
-   - Added MRI example
-   - Fixed bug that screwed up label position if xticks or yticks were
-     empty
-   - added nearest neighbor color picker when GD max colors exceeded
-   - fixed figure background color bug in GD backend
-
-2003-11-10 - 2003-11-11
-   - major refactoring.
-     * Ticks (with labels, lines and grid) handled by dedicated class
-     * Artist now know bounding box and dpi
-     * Bounding boxes and transforms handled by dedicated classes
-     * legend in dedicated class.  Does a better job of alignment and
-       bordering.  Can be initialized with specific line instances.
-       See examples/legend_demo2.py
-
-
-2003-11-14 Fixed legend positioning bug and added new position args
-
-2003-11-16 Finsihed porting GD to new axes API
-
-
-2003-11-20 - add TM for matlab on website and in docs
-
-
-2003-11-20 - make a nice errorbar and scatter screenshot
-
-2003-11-20 - auto line style cycling for multiple line types
-   broken
-
-2003-11-18 (using inkrect) :logical rect too big on gtk backend
-
-2003-11-18 ticks don't reach edge of axes in gtk mode --
-   rounding error?
-
-2003-11-20 - port Gary's errorbar code to new API before 0.40
-
-2003-11-20 - problem with stale _set_font.  legend axes box
-   doesn't resize on save in GTK backend -- see htdocs legend_demo.py
-
-2003-11-21 - make a dash-dot dict for the GC
-
-2003-12-15 - fix install path bug
diff --git a/CITATION.bib b/CITATION.bib
new file mode 100644
index 000000000000..f9c78873bce3
--- /dev/null
+++ b/CITATION.bib
@@ -0,0 +1,14 @@
+@Article{Hunter:2007,
+  Author    = {Hunter, J. D.},
+  Title     = {Matplotlib: A 2D graphics environment},
+  Journal   = {Computing in Science \& Engineering},
+  Volume    = {9},
+  Number    = {3},
+  Pages     = {90--95},
+  abstract  = {Matplotlib is a 2D graphics package used for Python for
+  application development, interactive scripting, and publication-quality
+  image generation across user interfaces and operating systems.},
+  publisher = {IEEE COMPUTER SOC},
+  doi       = {10.1109/MCSE.2007.55},
+  year      = 2007
+}
diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 000000000000..ad7af5f76681
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,27 @@
+cff-version: 1.2.0
+message: 'If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007.'
+title: 'Matplotlib: Visualization with Python'
+authors:
+  - name: The Matplotlib Development Team
+    website: https://matplotlib.org/
+type: software
+url: 'https://matplotlib.org/'
+repository-code: 'https://github.com/matplotlib/matplotlib/'
+preferred-citation:
+  type: article
+  authors:
+    - family-names: Hunter
+      given-names: John D.
+  title: "Matplotlib: A 2D graphics environment"
+  year: 2007
+  date-published: 2007-06-18
+  journal: Computing in Science & Engineering
+  volume: 9
+  issue: 3
+  start: 90
+  end: 95
+  doi: 10.1109/MCSE.2007.55
+  publisher:
+    name: IEEE Computer Society
+    website: 'https://www.computer.org/'
+  abstract: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
new file mode 100644
index 000000000000..8fbbe8e7d6f3
--- /dev/null
+++ b/CODE_OF_CONDUCT.md
@@ -0,0 +1,6 @@
+<!--placeholder page so Github knows we have a CoC-->
+
+Our Code of Conduct is at
+https://matplotlib.org/stable/project/code_of_conduct.html
+
+It is rendered from `doc/project/code_of_conduct.rst`
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
deleted file mode 100644
index f5c602c0d7b8..000000000000
--- a/CONTRIBUTING.md
+++ /dev/null
@@ -1,2 +0,0 @@
-Please refer to the [Coding
-Guidelines](http://matplotlib.org/devel/coding_guide.html).
diff --git a/INSTALL b/INSTALL
deleted file mode 100644
index d626b939592d..000000000000
--- a/INSTALL
+++ /dev/null
@@ -1,314 +0,0 @@
-.. The source of this document is INSTALL. During the doc build process,
-.. this file is copied over to doc/users/installing.rst.
-.. Therefore, you must edit INSTALL, *not* doc/users/installing.rst!
-
-**********
-Installing
-**********
-
-There are many different ways to install matplotlib, and the best way
-depends on what operating system you are using, what you already have
-installed, and how you want to use it.  To avoid wading through all
-the details (and potential complications) on this page, there are several
-convenient options.
-
-Installing pre-built packages
-=============================
-
-Most platforms : scientific Python distributions
-------------------------------------------------
-
-The first option is to use one of the pre-packaged python
-distributions that already provide matplotlib built-in.  The
-Continuum.io Python distribution (`Anaconda
-<https://store.continuum.io/cshop/anaconda/>`_ or `miniconda
-<http://conda.pydata.org/miniconda.html>`_) and the Enthought
-distribution `(Canopy) <https://www.enthought.com/products/canopy/>`_
-are both excellent choices that "just work" out of the box for
-Windows, OSX and common Linux platforms.  Both of these distributions
-include matplotlib and *lots* of other useful tools.  Another
-excellent alternative for Windows users is `Python (x, y)
-<https://code.google.com/p/pythonxy>`_ .
-
-
-Linux : using your package manager
-----------------------------------
-
-If you are on Linux, you might prefer to use your package manager.  matplotlib
-is packaged for almost every major Linux distribution.
-
-* Debian / Ubuntu : ``sudo apt-get install python-matplotlib``
-* Fedora / Redhat : ``sudo yum install python-matplotlib``
-
-Mac OSX : using pip
--------------------
-
-If you are on Mac OSX you can probably install matplotlib binaries using the
-standard Python installation program `pip <https://pypi.python.org/pip>`_.
-See :ref:`install_osx_binaries`.
-
-
-Windows
--------
-
-If you don't already have Python installed, we recommend using
-one of the `scipy-stack compatible Python distributions
-<http://www.scipy.org/install.html>`_ such as Python(x,y),
-Enthought Canopy, or Continuum Anaconda, which have matplotlib and
-many of its dependencies, plus other useful packages, preinstalled.
-
-For `standard Python <http://www.python.org/download/>`_ installations
-you will also need to install compatible versions of
-`setuptools <https://pypi.python.org/pypi/setuptools/>`_,
-`numpy <https://pypi.python.org/pypi/numpy/>`_,
-`python-dateutil <https://pypi.python.org/pypi/python-dateutil/>`_,
-`pytz <https://pypi.python.org/pypi/pytz>`_,
-`pyparsing <https://pypi.python.org/pypi/pyparsing/>`_ and
-`six <https://pypi.python.org/pypi/six>`_
-in addition to
-`matplotlib <http://matplotlib.org/downloads.html>`_.
-
-In case Python is not installed for all users (not the default), the
-Microsoft Visual C++ 2008 (
-`64 bit <http://www.microsoft.com/download/en/details.aspx?id=15336>`__
-or
-`32 bit <http://www.microsoft.com/download/en/details.aspx?id=29>`__
-for Python 2.6 to 3.2) or Microsoft Visual C++ 2010 (
-`64 bit <http://www.microsoft.com/en-us/download/details.aspx?id=14632>`__
-or
-`32 bit <http://www.microsoft.com/en-us/download/details.aspx?id=5555>`__
-for Python 3.3 and 3.4) redistributable packages need to be installed.
-
-Matplotlib depends on `Pillow <https://pypi.python.org/pypi/Pillow>`_
-for reading and saving JPEG, BMP, and TIFF image files.
-Matplotlib requires `MiKTeX <http://miktex.org/>`_ and
-`GhostScript <http://www.ghostscript.com/download/>`_ for rendering text
-with LaTeX.
-`FFmpeg <https://www.ffmpeg.org/>`_, `avconv <https://libav.org/>`_,
-`mencoder <http://www.mplayerhq.hu>`_, or
-`ImageMagick <http://www.imagemagick.org/>`_ are required for the
-animation module.
-
-The following backends should work out of the box: agg, tkagg, ps,
-pdf and svg.
-For other backends you may need to install
-`pycairo <https://pypi.python.org/pypi/pycairo>`_,
-`PyQt4 <https://pypi.python.org/pypi/PyQt4>`_,
-`PyQt5 <https://pypi.python.org/pypi/PyQt5>`_,
-`PySide <https://pypi.python.org/pypi/PySide>`_,
-`wxPython <https://pypi.python.org/pypi/wxPython>`_,
-`PyGTK <https://pypi.python.org/pypi/PyGTK>`_,
-`Tornado <https://pypi.python.org/pypi/tornado>`_,
-or GhostScript.
-
-TkAgg is probably the best backend for interactive use from the
-standard Python shell or IPython. It is enabled as the default backend
-for the official binaries.  GTK3 is not supported on Windows.
-
-The Windows installers (:file:`*.exe`) and wheels (:file:`*.whl`) on
-the `download page <http://matplotlib.org/downloads.html>`_ do not
-contain test data or example code.
-If you want to try the many demos that come in the matplotlib source
-distribution, download the :file:`*.tar.gz` file and look in the
-:file:`examples` subdirectory.
-To run the test suite, copy the :file:`lib\matplotlib\tests` and
-:file:`lib\mpl_toolkits\tests` directories from the source distribution to
-:file:`sys.prefix\Lib\site-packages\matplotlib` and
-:file:`sys.prefix\Lib\site-packages\mpl_toolkits` respectively, and install
-`nose <https://pypi.python.org/pypi/nose>`_,
-`mock <https://pypi.python.org/pypi/mock>`_,
-Pillow, MiKTeX, GhostScript, ffmpeg, avconv, mencoder, ImageMagick, and
-`Inkscape <http://inkscape.org/>`_.
-
-
-
-.. _install_from_source:
-
-Installing from source
-======================
-
-If you are interested in contributing to matplotlib development,
-running the latest source code, or just like to build everything
-yourself, it is not difficult to build matplotlib from source.  Grab
-the latest *tar.gz* release file from `the download page
-<http://matplotlib.org/downloads.html>`_, or if you want
-to develop matplotlib or just need the latest bugfixed version, grab
-the latest git version :ref:`install-from-git`.
-
-Once you have satisfied the requirements detailed below (mainly
-python, numpy, libpng and freetype), you can build matplotlib::
-
-  cd matplotlib
-  python setup.py build
-  python setup.py install
-
-We provide a `setup.cfg
-<https://github.com/matplotlib/matplotlib/raw/master/setup.cfg.template>`_
-file that goes with :file:`setup.py` which you can use to customize
-the build process. For example, which default backend to use, whether
-some of the optional libraries that matplotlib ships with are
-installed, and so on.  This file will be particularly useful to those
-packaging matplotlib.
-
-If you have installed prerequisites to nonstandard places and need to
-inform matplotlib where they are, edit ``setupext.py`` and add the base
-dirs to the ``basedir`` dictionary entry for your ``sys.platform``.
-e.g., if the header to some required library is in
-``/some/path/include/someheader.h``, put ``/some/path`` in the
-``basedir`` list for your platform.
-
-.. _install_requirements:
-
-Build requirements
-------------------
-
-These are external packages which you will need to install before
-installing matplotlib.  If you are building on OSX, see
-:ref:`build_osx`. If you are building on Windows, see
-:ref:`build_windows`. If you are installing dependencies with a
-package manager on Linux, you may need to install the development
-packages (look for a "-dev" postfix) in addition to the libraries
-themselves.
-
-
-Required Dependencies
-^^^^^^^^^^^^^^^^^^^^^
-
-:term:`python` 2.6, 2.7, 3.3 or 3.4
-    `Download python <http://www.python.org/download/>`_.
-
-:term:`numpy` |minimum_numpy_version| (or later)
-    array support for python (`download numpy <http://numpy.org>`_)
-
-:term:`dateutil` 1.1 or later
-    Provides extensions to python datetime handling.  If using pip,
-    easy_install or installing from source, the installer will attempt
-    to download and install `python_dateutil` from PyPI.  Note that
-    `python_dateutil` also depends on `six`.  `pip` and other package
-    managers should handle installing that secondary dependency
-    automatically.
-
-`pyparsing`
-    Required for matplotlib's mathtext math rendering support.  If
-    using pip, easy_install or installing from source, the installer
-    will attempt to download and install `pyparsing` from PyPI.
-
-six 1.4 or later
-    Python 2/3 compatibility library.  This is also a dependency of
-    :term:`dateutil`.
-
-libpng 1.2 (or later)
-    library for loading and saving :term:`PNG` files (`download
-    <http://www.libpng.org/pub/png/libpng.html>`__). libpng requires
-    zlib.
-
-`pytz`
-    Used to manipulate time-zone aware datetimes.
-
-:term:`freetype` 2.3 or later
-    library for reading true type font files.
-
-
-Optional GUI framework
-^^^^^^^^^^^^^^^^^^^^^^
-
-These are optional packages which you may want to install to use
-matplotlib with a user interface toolkit. See
-:ref:`what-is-a-backend` for more details on the optional matplotlib
-backends and the capabilities they provide.
-
-:term:`tk` 8.3 or later
-    The TCL/Tk widgets library used by the TkAgg backend
-
-:term:`pyqt` 4.0 or later
-    The Qt4 widgets library python wrappers for the Qt4Agg backend
-
-:term:`pygtk` 2.4 or later
-    The python wrappers for the GTK widgets library for use with the
-    GTK or GTKAgg backend
-
-:term:`wxpython` 2.8 or later
-    The python wrappers for the wx widgets library for use with the
-    WX or WXAgg backend
-
-Optional external programs
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-ffmpeg/avconv or mencoder
-    Required for the animation module to be save out put to movie
-    formats.
-
-ImageMagick
-    Required for the animation module to be able to save to animated gif.
-
-Optional dependencies
-^^^^^^^^^^^^^^^^^^^^^
-
-`Pillow <http://python-imaging.github.io/>`__
-    If Pillow is installed, matplotlib can read and write a larger
-    selection of image file formats.
-
-
-Required libraries that ship with matplotlib
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-:term:`agg` 2.4
-    The antigrain C++ rendering engine.  matplotlib links against the
-    agg template source statically, so it will not affect anything on
-    your system outside of matplotlib.
-
-`qhull` 2012.1
-    A library for computing Delaunay triangulations.
-
-`ttconv`
-   truetype font utility
-
-.. _build_linux:
-
-Building on Linux
------------------
-
-It is easiest to use your system package manager to install the dependencies.
-
-If you are on Debian/Ubuntu, you can get all the dependencies
-required to build matplotlib with::
-
-   sudo apt-get build-dep python-matplotlib
-
-If you are on Fedora/RedHat, you can get all the dependencies required
-to build matplotlib by first installing ``yum-builddep`` and then
-running::
-
-   su -c "yum-builddep python-matplotlib"
-
-This does not build matplotlib, but it does get the install the
-build dependencies, which will make building from source easier.
-
-
-.. _build_osx:
-
-Building on OSX
----------------
-
-The build situation on OSX is complicated by the various places one
-can get the libpng and freetype requirements (darwinports, fink,
-/usr/X11R6) and the different architectures (e.g., x86, ppc, universal) and
-the different OSX version (e.g., 10.4 and 10.5). We recommend that you build
-the way we do for the OSX release: get the source from the tarball or the
-git repository and follow the instruction in :file:`README.osx`.
-
-
-.. _build_windows:
-
-
-Building on Windows
--------------------
-
-The Python shipped from http://www.python.org is compiled with Visual Studio
-2008 for versions before 3.3 and Visual Studio 2010 for 3.3 and later.  Python
-extensions are recommended to be compiled with the same compiler.  The .NET
-Framework 4.0 is required for MSBuild (you'll likely have the requisite
-Framework with Visual Studio).  In addition to Visual Studio `CMake
-<http://www.cmake.org>`_ is required for building libpng.
-
-Since there is no canonical Windows package manager the build methods for
-freetype, zlib, libpng, tcl, & tk source code are documented as a build script
-at `matplotlib-winbuild <https://github.com/jbmohler/matplotlib-winbuild>`_.
diff --git a/INSTALL.rst b/INSTALL.rst
new file mode 100644
index 000000000000..3fb01c58d259
--- /dev/null
+++ b/INSTALL.rst
@@ -0,0 +1 @@
+See doc/install/index.rst
diff --git a/LICENSE/LICENSE b/LICENSE/LICENSE
index a161f24107e3..ec51537db27d 100644
--- a/LICENSE/LICENSE
+++ b/LICENSE/LICENSE
@@ -1,5 +1,55 @@
-LICENSE AGREEMENT FOR MATPLOTLIB 1.2.0
---------------------------------------
+License agreement for matplotlib versions 1.3.0 and later
+=========================================================
+
+1. This LICENSE AGREEMENT is between the Matplotlib Development Team
+("MDT"), and the Individual or Organization ("Licensee") accessing and
+otherwise using matplotlib software in source or binary form and its
+associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, MDT
+hereby grants Licensee a nonexclusive, royalty-free, world-wide license
+to reproduce, analyze, test, perform and/or display publicly, prepare
+derivative works, distribute, and otherwise use matplotlib
+alone or in any derivative version, provided, however, that MDT's
+License Agreement and MDT's notice of copyright, i.e., "Copyright (c)
+2012- Matplotlib Development Team; All Rights Reserved" are retained in
+matplotlib  alone or in any derivative version prepared by
+Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on or
+incorporates matplotlib or any part thereof, and wants to
+make the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to matplotlib .
+
+4. MDT is making matplotlib available to Licensee on an "AS
+IS" basis.  MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
+WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
+ FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
+LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
+MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
+THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between MDT and
+Licensee.  This License Agreement does not grant permission to use MDT
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using matplotlib ,
+Licensee agrees to be bound by the terms and conditions of this License
+Agreement.
+
+License agreement for matplotlib versions prior to 1.3.0
+========================================================
 
 1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
 Individual or Organization ("Licensee") accessing and otherwise using
@@ -9,30 +59,30 @@ documentation.
 2. Subject to the terms and conditions of this License Agreement, JDH
 hereby grants Licensee a nonexclusive, royalty-free, world-wide license
 to reproduce, analyze, test, perform and/or display publicly, prepare
-derivative works, distribute, and otherwise use matplotlib 1.2.0
+derivative works, distribute, and otherwise use matplotlib
 alone or in any derivative version, provided, however, that JDH's
 License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
 2002-2011 John D. Hunter; All Rights Reserved" are retained in
-matplotlib 1.2.0 alone or in any derivative version prepared by
+matplotlib  alone or in any derivative version prepared by
 Licensee.
 
 3. In the event Licensee prepares a derivative work that is based on or
-incorporates matplotlib 1.2.0 or any part thereof, and wants to
+incorporates matplotlib  or any part thereof, and wants to
 make the derivative work available to others as provided herein, then
 Licensee hereby agrees to include in any such work a brief summary of
-the changes made to matplotlib 1.2.0.
+the changes made to matplotlib.
 
-4. JDH is making matplotlib 1.2.0 available to Licensee on an "AS
+4. JDH is making matplotlib  available to Licensee on an "AS
 IS" basis.  JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
 IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
 DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
-FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB 1.2.0
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
 WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
 
 5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
-1.2.0 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
+ FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
 LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
-MATPLOTLIB 1.2.0, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
+MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
 THE POSSIBILITY THEREOF.
 
 6. This License Agreement will automatically terminate upon a material
@@ -44,6 +94,6 @@ Licensee.  This License Agreement does not grant permission to use JDH
 trademarks or trade name in a trademark sense to endorse or promote
 products or services of Licensee, or any third party.
 
-8. By copying, installing or otherwise using matplotlib 1.2.0,
+8. By copying, installing or otherwise using matplotlib,
 Licensee agrees to be bound by the terms and conditions of this License
-Agreement.
+Agreement.
\ No newline at end of file
diff --git a/LICENSE/LICENSE_AMSFONTS b/LICENSE/LICENSE_AMSFONTS
new file mode 100644
index 000000000000..3627bb9bb617
--- /dev/null
+++ b/LICENSE/LICENSE_AMSFONTS
@@ -0,0 +1,240 @@
+The cmr10.pfb file is a Type-1 version of one of Knuth's Computer Modern fonts.
+It is included here as test data only, but the following license applies.
+
+Copyright (c) 1997, 2009, American Mathematical Society (http://www.ams.org).
+All Rights Reserved.
+
+"cmb10" is a Reserved Font Name for this Font Software.
+"cmbsy10" is a Reserved Font Name for this Font Software.
+"cmbsy5" is a Reserved Font Name for this Font Software.
+"cmbsy6" is a Reserved Font Name for this Font Software.
+"cmbsy7" is a Reserved Font Name for this Font Software.
+"cmbsy8" is a Reserved Font Name for this Font Software.
+"cmbsy9" is a Reserved Font Name for this Font Software.
+"cmbx10" is a Reserved Font Name for this Font Software.
+"cmbx12" is a Reserved Font Name for this Font Software.
+"cmbx5" is a Reserved Font Name for this Font Software.
+"cmbx6" is a Reserved Font Name for this Font Software.
+"cmbx7" is a Reserved Font Name for this Font Software.
+"cmbx8" is a Reserved Font Name for this Font Software.
+"cmbx9" is a Reserved Font Name for this Font Software.
+"cmbxsl10" is a Reserved Font Name for this Font Software.
+"cmbxti10" is a Reserved Font Name for this Font Software.
+"cmcsc10" is a Reserved Font Name for this Font Software.
+"cmcsc8" is a Reserved Font Name for this Font Software.
+"cmcsc9" is a Reserved Font Name for this Font Software.
+"cmdunh10" is a Reserved Font Name for this Font Software.
+"cmex10" is a Reserved Font Name for this Font Software.
+"cmex7" is a Reserved Font Name for this Font Software.
+"cmex8" is a Reserved Font Name for this Font Software.
+"cmex9" is a Reserved Font Name for this Font Software.
+"cmff10" is a Reserved Font Name for this Font Software.
+"cmfi10" is a Reserved Font Name for this Font Software.
+"cmfib8" is a Reserved Font Name for this Font Software.
+"cminch" is a Reserved Font Name for this Font Software.
+"cmitt10" is a Reserved Font Name for this Font Software.
+"cmmi10" is a Reserved Font Name for this Font Software.
+"cmmi12" is a Reserved Font Name for this Font Software.
+"cmmi5" is a Reserved Font Name for this Font Software.
+"cmmi6" is a Reserved Font Name for this Font Software.
+"cmmi7" is a Reserved Font Name for this Font Software.
+"cmmi8" is a Reserved Font Name for this Font Software.
+"cmmi9" is a Reserved Font Name for this Font Software.
+"cmmib10" is a Reserved Font Name for this Font Software.
+"cmmib5" is a Reserved Font Name for this Font Software.
+"cmmib6" is a Reserved Font Name for this Font Software.
+"cmmib7" is a Reserved Font Name for this Font Software.
+"cmmib8" is a Reserved Font Name for this Font Software.
+"cmmib9" is a Reserved Font Name for this Font Software.
+"cmr10" is a Reserved Font Name for this Font Software.
+"cmr12" is a Reserved Font Name for this Font Software.
+"cmr17" is a Reserved Font Name for this Font Software.
+"cmr5" is a Reserved Font Name for this Font Software.
+"cmr6" is a Reserved Font Name for this Font Software.
+"cmr7" is a Reserved Font Name for this Font Software.
+"cmr8" is a Reserved Font Name for this Font Software.
+"cmr9" is a Reserved Font Name for this Font Software.
+"cmsl10" is a Reserved Font Name for this Font Software.
+"cmsl12" is a Reserved Font Name for this Font Software.
+"cmsl8" is a Reserved Font Name for this Font Software.
+"cmsl9" is a Reserved Font Name for this Font Software.
+"cmsltt10" is a Reserved Font Name for this Font Software.
+"cmss10" is a Reserved Font Name for this Font Software.
+"cmss12" is a Reserved Font Name for this Font Software.
+"cmss17" is a Reserved Font Name for this Font Software.
+"cmss8" is a Reserved Font Name for this Font Software.
+"cmss9" is a Reserved Font Name for this Font Software.
+"cmssbx10" is a Reserved Font Name for this Font Software.
+"cmssdc10" is a Reserved Font Name for this Font Software.
+"cmssi10" is a Reserved Font Name for this Font Software.
+"cmssi12" is a Reserved Font Name for this Font Software.
+"cmssi17" is a Reserved Font Name for this Font Software.
+"cmssi8" is a Reserved Font Name for this Font Software.
+"cmssi9" is a Reserved Font Name for this Font Software.
+"cmssq8" is a Reserved Font Name for this Font Software.
+"cmssqi8" is a Reserved Font Name for this Font Software.
+"cmsy10" is a Reserved Font Name for this Font Software.
+"cmsy5" is a Reserved Font Name for this Font Software.
+"cmsy6" is a Reserved Font Name for this Font Software.
+"cmsy7" is a Reserved Font Name for this Font Software.
+"cmsy8" is a Reserved Font Name for this Font Software.
+"cmsy9" is a Reserved Font Name for this Font Software.
+"cmtcsc10" is a Reserved Font Name for this Font Software.
+"cmtex10" is a Reserved Font Name for this Font Software.
+"cmtex8" is a Reserved Font Name for this Font Software.
+"cmtex9" is a Reserved Font Name for this Font Software.
+"cmti10" is a Reserved Font Name for this Font Software.
+"cmti12" is a Reserved Font Name for this Font Software.
+"cmti7" is a Reserved Font Name for this Font Software.
+"cmti8" is a Reserved Font Name for this Font Software.
+"cmti9" is a Reserved Font Name for this Font Software.
+"cmtt10" is a Reserved Font Name for this Font Software.
+"cmtt12" is a Reserved Font Name for this Font Software.
+"cmtt8" is a Reserved Font Name for this Font Software.
+"cmtt9" is a Reserved Font Name for this Font Software.
+"cmu10" is a Reserved Font Name for this Font Software.
+"cmvtt10" is a Reserved Font Name for this Font Software.
+"euex10" is a Reserved Font Name for this Font Software.
+"euex7" is a Reserved Font Name for this Font Software.
+"euex8" is a Reserved Font Name for this Font Software.
+"euex9" is a Reserved Font Name for this Font Software.
+"eufb10" is a Reserved Font Name for this Font Software.
+"eufb5" is a Reserved Font Name for this Font Software.
+"eufb7" is a Reserved Font Name for this Font Software.
+"eufm10" is a Reserved Font Name for this Font Software.
+"eufm5" is a Reserved Font Name for this Font Software.
+"eufm7" is a Reserved Font Name for this Font Software.
+"eurb10" is a Reserved Font Name for this Font Software.
+"eurb5" is a Reserved Font Name for this Font Software.
+"eurb7" is a Reserved Font Name for this Font Software.
+"eurm10" is a Reserved Font Name for this Font Software.
+"eurm5" is a Reserved Font Name for this Font Software.
+"eurm7" is a Reserved Font Name for this Font Software.
+"eusb10" is a Reserved Font Name for this Font Software.
+"eusb5" is a Reserved Font Name for this Font Software.
+"eusb7" is a Reserved Font Name for this Font Software.
+"eusm10" is a Reserved Font Name for this Font Software.
+"eusm5" is a Reserved Font Name for this Font Software.
+"eusm7" is a Reserved Font Name for this Font Software.
+"lasy10" is a Reserved Font Name for this Font Software.
+"lasy5" is a Reserved Font Name for this Font Software.
+"lasy6" is a Reserved Font Name for this Font Software.
+"lasy7" is a Reserved Font Name for this Font Software.
+"lasy8" is a Reserved Font Name for this Font Software.
+"lasy9" is a Reserved Font Name for this Font Software.
+"lasyb10" is a Reserved Font Name for this Font Software.
+"lcircle1" is a Reserved Font Name for this Font Software.
+"lcirclew" is a Reserved Font Name for this Font Software.
+"lcmss8" is a Reserved Font Name for this Font Software.
+"lcmssb8" is a Reserved Font Name for this Font Software.
+"lcmssi8" is a Reserved Font Name for this Font Software.
+"line10" is a Reserved Font Name for this Font Software.
+"linew10" is a Reserved Font Name for this Font Software.
+"msam10" is a Reserved Font Name for this Font Software.
+"msam5" is a Reserved Font Name for this Font Software.
+"msam6" is a Reserved Font Name for this Font Software.
+"msam7" is a Reserved Font Name for this Font Software.
+"msam8" is a Reserved Font Name for this Font Software.
+"msam9" is a Reserved Font Name for this Font Software.
+"msbm10" is a Reserved Font Name for this Font Software.
+"msbm5" is a Reserved Font Name for this Font Software.
+"msbm6" is a Reserved Font Name for this Font Software.
+"msbm7" is a Reserved Font Name for this Font Software.
+"msbm8" is a Reserved Font Name for this Font Software.
+"msbm9" is a Reserved Font Name for this Font Software.
+"wncyb10" is a Reserved Font Name for this Font Software.
+"wncyi10" is a Reserved Font Name for this Font Software.
+"wncyr10" is a Reserved Font Name for this Font Software.
+"wncysc10" is a Reserved Font Name for this Font Software.
+"wncyss10" is a Reserved Font Name for this Font Software.
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded, 
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
diff --git a/LICENSE/LICENSE_BAKOMA b/LICENSE/LICENSE_BAKOMA
index 801e20cd736f..6200f085b9d6 100644
--- a/LICENSE/LICENSE_BAKOMA
+++ b/LICENSE/LICENSE_BAKOMA
@@ -2,7 +2,7 @@
 			BaKoMa Fonts Licence
 			--------------------
 
-  This licence covers two font packs (known as BaKoMa Fonts Colelction,
+  This licence covers two font packs (known as BaKoMa Fonts Collection,
   which is available at `CTAN:fonts/cm/ps-type1/bakoma/'):
 
     1) BaKoMa-CM (1.1/12-Nov-94)
diff --git a/LICENSE/LICENSE_CARLOGO b/LICENSE/LICENSE_CARLOGO
new file mode 100644
index 000000000000..8c99c656a0f5
--- /dev/null
+++ b/LICENSE/LICENSE_CARLOGO
@@ -0,0 +1,45 @@
+----> we renamed carlito -> carlogo to comply with the terms <----
+
+Copyright (c) 2010-2013 by tyPoland Lukasz Dziedzic with Reserved Font Name "Carlito".
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment.
+
+"Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission.
+
+5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE.
\ No newline at end of file
diff --git a/LICENSE/LICENSE_COLORBREWER b/LICENSE/LICENSE_COLORBREWER
index 568afe883ece..7557bb7e769b 100644
--- a/LICENSE/LICENSE_COLORBREWER
+++ b/LICENSE/LICENSE_COLORBREWER
@@ -1,38 +1,13 @@
-Apache-Style Software License for ColorBrewer Color Schemes
+Apache-Style Software License for ColorBrewer software and ColorBrewer Color Schemes
 
-Version 1.1
+Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania State University.
 
-Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania 
-State University. All rights reserved. Redistribution and use in source 
-and binary forms, with or without modification, are permitted provided 
-that the following conditions are met:
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-1. Redistributions as source code must retain the above copyright notice, 
-this list of conditions and the following disclaimer.
+http://www.apache.org/licenses/LICENSE-2.0
 
-2. The end-user documentation included with the redistribution, if any, 
-must include the following acknowledgment: "This product includes color 
-specifications and designs developed by Cynthia Brewer 
-(http://colorbrewer.org/)." Alternately, this acknowledgment may appear in 
-the software itself, if and wherever such third-party acknowledgments 
-normally appear.
-
-3. The name "ColorBrewer" must not be used to endorse or promote products 
-derived from this software without prior written permission. For written 
-permission, please contact Cynthia Brewer at cbrewer@psu.edu.
-
-4. Products derived from this software may not be called "ColorBrewer", 
-nor may "ColorBrewer" appear in their name, without prior written 
-permission of Cynthia Brewer.
-
-THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESSED OR IMPLIED WARRANTIES, 
-INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY 
-AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL 
-CYNTHIA BREWER, MARK HARROWER, OR THE PENNSYLVANIA STATE UNIVERSITY BE 
-LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
-CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
-SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 
-INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 
-CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 
-ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
-POSSIBILITY OF SUCH DAMAGE.
+Unless required by applicable law or agreed to in writing, software distributed
+under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
+CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
\ No newline at end of file
diff --git a/LICENSE/LICENSE_COURIERTEN b/LICENSE/LICENSE_COURIERTEN
new file mode 100644
index 000000000000..c6d3fd7410a2
--- /dev/null
+++ b/LICENSE/LICENSE_COURIERTEN
@@ -0,0 +1,18 @@
+The Courier10PitchBT-Bold.pfb file is a Type-1 version of
+Courier 10 Pitch BT Bold by Bitstream, obtained from
+<https://ctan.org/tex-archive/fonts/courierten>. It is included
+here as test data only, but the following license applies.
+
+
+(c) Copyright 1989-1992, Bitstream Inc., Cambridge, MA.
+
+You are hereby granted permission under all Bitstream propriety rights
+to use, copy, modify, sublicense, sell, and redistribute the 4 Bitstream
+Charter (r) Type 1 outline fonts and the 4 Courier Type 1 outline fonts
+for any purpose and without restriction; provided, that this notice is
+left intact on all copies of such fonts and that Bitstream's trademark
+is acknowledged as shown below on all unmodified copies of the 4 Charter
+Type 1 fonts.
+
+BITSTREAM CHARTER is a registered trademark of Bitstream Inc.
+
diff --git a/LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER b/LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER
new file mode 100644
index 000000000000..0bc1fa7060b7
--- /dev/null
+++ b/LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER
@@ -0,0 +1,108 @@
+# CC0 1.0 Universal
+
+## Statement of Purpose
+
+The laws of most jurisdictions throughout the world automatically confer
+exclusive Copyright and Related Rights (defined below) upon the creator and
+subsequent owner(s) (each and all, an “owner�) of an original work of
+authorship and/or a database (each, a “Work�).
+
+Certain owners wish to permanently relinquish those rights to a Work for the
+purpose of contributing to a commons of creative, cultural and scientific works
+(“Commons�) that the public can reliably and without fear of later claims of
+infringement build upon, modify, incorporate in other works, reuse and
+redistribute as freely as possible in any form whatsoever and for any purposes,
+including without limitation commercial purposes. These owners may contribute
+to the Commons to promote the ideal of a free culture and the further
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+greater distribution for their Work in part through the use and efforts of
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+
+For these and/or other purposes and motivations, and without any expectation of
+additional consideration or compensation, the person associating CC0 with a
+Work (the “Affirmer�), to the extent that he or she is an owner of Copyright
+and Related Rights in the Work, voluntarily elects to apply CC0 to the Work and
+publicly distribute the Work under its terms, with knowledge of his or her
+Copyright and Related Rights in the Work and the meaning and intended legal
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+
+1. Copyright and Related Rights. A Work made available under CC0 may be
+   protected by copyright and related or neighboring rights (“Copyright and
+   Related Rights�). Copyright and Related Rights include, but are not limited
+   to, the following:
+   1. the right to reproduce, adapt, distribute, perform, display, communicate,
+      and translate a Work;
+   2. moral rights retained by the original author(s) and/or performer(s);
+   3. publicity and privacy rights pertaining to a person’s image or likeness
+      depicted in a Work;
+   4. rights protecting against unfair competition in regards to a Work,
+      subject to the limitations in paragraph 4(i), below;
+   5. rights protecting the extraction, dissemination, use and reuse of data in
+      a Work;
+   6. database rights (such as those arising under Directive 96/9/EC of the
+      European Parliament and of the Council of 11 March 1996 on the legal
+      protection of databases, and under any national implementation thereof,
+      including any amended or successor version of such directive); and
+   7. other similar, equivalent or corresponding rights throughout the world
+      based on applicable law or treaty, and any national implementations
+      thereof.
+
+2. Waiver. To the greatest extent permitted by, but not in contravention of,
+   applicable law, Affirmer hereby overtly, fully, permanently, irrevocably and
+   unconditionally waives, abandons, and surrenders all of Affirmer’s Copyright
+   and Related Rights and associated claims and causes of action, whether now
+   known or unknown (including existing as well as future claims and causes of
+   action), in the Work (i) in all territories worldwide, (ii) for the maximum
+   duration provided by applicable law or treaty (including future time
+   extensions), (iii) in any current or future medium and for any number of
+   copies, and (iv) for any purpose whatsoever, including without limitation
+   commercial, advertising or promotional purposes (the “Waiver�). Affirmer
+   makes the Waiver for the benefit of each member of the public at large and
+   to the detriment of Affirmer’s heirs and successors, fully intending that
+   such Waiver shall not be subject to revocation, rescission, cancellation,
+   termination, or any other legal or equitable action to disrupt the quiet
+   enjoyment of the Work by the public as contemplated by Affirmer’s express
+   Statement of Purpose.
+
+3. Public License Fallback. Should any part of the Waiver for any reason be
+   judged legally invalid or ineffective under applicable law, then the Waiver
+   shall be preserved to the maximum extent permitted taking into account
+   Affirmer’s express Statement of Purpose. In addition, to the extent the
+   Waiver is so judged Affirmer hereby grants to each affected person a
+   royalty-free, non transferable, non sublicensable, non exclusive,
+   irrevocable and unconditional license to exercise Affirmer’s Copyright and
+   Related Rights in the Work (i) in all territories worldwide, (ii) for the
+   maximum duration provided by applicable law or treaty (including future time
+   extensions), (iii) in any current or future medium and for any number of
+   copies, and (iv) for any purpose whatsoever, including without limitation
+   commercial, advertising or promotional purposes (the “License�). The License
+   shall be deemed effective as of the date CC0 was applied by Affirmer to the
+   Work. Should any part of the License for any reason be judged legally
+   invalid or ineffective under applicable law, such partial invalidity or
+   ineffectiveness shall not invalidate the remainder of the License, and in
+   such case Affirmer hereby affirms that he or she will not (i) exercise any
+   of his or her remaining Copyright and Related Rights in the Work or (ii)
+   assert any associated claims and causes of action with respect to the Work,
+   in either case contrary to Affirmer’s express Statement of Purpose.
+
+4. Limitations and Disclaimers.
+   1. No trademark or patent rights held by Affirmer are waived, abandoned,
+      surrendered, licensed or otherwise affected by this document.
+   2. Affirmer offers the Work as-is and makes no representations or warranties
+      of any kind concerning the Work, express, implied, statutory or
+      otherwise, including without limitation warranties of title,
+      merchantability, fitness for a particular purpose, non infringement, or
+      the absence of latent or other defects, accuracy, or the present or
+      absence of errors, whether or not discoverable, all to the greatest
+      extent permissible under applicable law.
+   3. Affirmer disclaims responsibility for clearing rights of other persons
+      that may apply to the Work or any use thereof, including without
+      limitation any person’s Copyright and Related Rights in the Work.
+      Further, Affirmer disclaims responsibility for obtaining any necessary
+      consents, permissions or other rights required for any use of the Work.
+   4. Affirmer understands and acknowledges that Creative Commons is not a
+      party to this document and has no duty or obligation with respect to this
+      CC0 or use of the Work.
+
+For more information, please see
+http://creativecommons.org/publicdomain/zero/1.0/.
diff --git a/LICENSE/LICENSE_LAST_RESORT_FONT b/LICENSE/LICENSE_LAST_RESORT_FONT
new file mode 100644
index 000000000000..5fe3297bc1e1
--- /dev/null
+++ b/LICENSE/LICENSE_LAST_RESORT_FONT
@@ -0,0 +1,97 @@
+Last Resort High-Efficiency Font License
+========================================
+
+This Font Software is licensed under the SIL Open Font License,
+Version 1.1.
+
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font
+creation efforts of academic and linguistic communities, and to
+provide a free and open framework in which fonts may be shared and
+improved in partnership with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded,
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply to
+any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software
+components as distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to,
+deleting, or substituting -- in part or in whole -- any of the
+components of the Original Version, by changing formats or by porting
+the Font Software to a new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed,
+modify, redistribute, and sell modified and unmodified copies of the
+Font Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components, in
+Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the
+corresponding Copyright Holder. This restriction only applies to the
+primary font name as presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created using
+the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
+
+SPDX-License-Identifier: OFL-1.1
diff --git a/LICENSE/LICENSE_SCIKIT-IMAGE b/LICENSE/LICENSE_SCIKIT-IMAGE
deleted file mode 100644
index 6586c853a70f..000000000000
--- a/LICENSE/LICENSE_SCIKIT-IMAGE
+++ /dev/null
@@ -1,31 +0,0 @@
-Unless otherwise specified by LICENSE.txt files in individual
-directories, all code is
-
-Copyright (C) 2011, the scikit-image team
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are
-met:
-
- 1. Redistributions of source code must retain the above copyright
-    notice, this list of conditions and the following disclaimer.
- 2. Redistributions in binary form must reproduce the above copyright
-    notice, this list of conditions and the following disclaimer in
-    the documentation and/or other materials provided with the
-    distribution.
- 3. Neither the name of skimage nor the names of its contributors may be
-    used to endorse or promote products derived from this software without
-    specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
-IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
-INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
-(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
-HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
-STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
-IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-POSSIBILITY OF SUCH DAMAGE.
diff --git a/LICENSE/LICENSE_SOLARIZED b/LICENSE/LICENSE_SOLARIZED
new file mode 100644
index 000000000000..6e5a0475dd24
--- /dev/null
+++ b/LICENSE/LICENSE_SOLARIZED
@@ -0,0 +1,20 @@
+https://github.com/altercation/solarized/blob/master/LICENSE
+Copyright (c) 2011 Ethan Schoonover
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
diff --git a/LICENSE/LICENSE_STIX b/LICENSE/LICENSE_STIX
index 2f7aeea331ce..6034d9474814 100644
--- a/LICENSE/LICENSE_STIX
+++ b/LICENSE/LICENSE_STIX
@@ -1,71 +1,124 @@
-TERMS AND CONDITIONS
-
-   1. Permission is hereby granted, free of charge, to any person 
-obtaining a copy of the STIX Fonts-TM set accompanying this license 
-(collectively, the "Fonts") and the associated documentation files 
-(collectively with the Fonts, the "Font Software"), to reproduce and 
-distribute the Font Software, including the rights to use, copy, merge 
-and publish copies of the Font Software, and to permit persons to whom 
-the Font Software is furnished to do so same, subject to the following 
-terms and conditions (the "License").
-
-   2. The following copyright and trademark notice and these Terms and 
-Conditions shall be included in all copies of one or more of the Font 
-typefaces and any derivative work created as permitted under this 
-License:
-
-	Copyright (c) 2001-2005 by the STI Pub Companies, consisting of 
-the American Institute of Physics, the American Chemical Society, the 
-American Mathematical Society, the American Physical Society, Elsevier, 
-Inc., and The Institute of Electrical and Electronic Engineers, Inc. 
-Portions copyright (c) 1998-2003 by MicroPress, Inc. Portions copyright 
-(c) 1990 by Elsevier, Inc. All rights reserved. STIX Fonts-TM is a 
-trademark of The Institute of Electrical and Electronics Engineers, Inc.
-
-   3. You may (a) convert the Fonts from one format to another (e.g., 
-from TrueType to PostScript), in which case the normal and reasonable 
-distortion that occurs during such conversion shall be permitted and (b) 
-embed or include a subset of the Fonts in a document for the purposes of 
-allowing users to read text in the document that utilizes the Fonts. In 
-each case, you may use the STIX Fonts-TM mark to designate the resulting 
-Fonts or subset of the Fonts.
-
-   4. You may also (a) add glyphs or characters to the Fonts, or modify 
-the shape of existing glyphs, so long as the base set of glyphs is not 
-removed and (b) delete glyphs or characters from the Fonts, provided 
-that the resulting font set is distributed with the following 
-disclaimer: "This [name] font does not include all the Unicode points 
-covered in the STIX Fonts-TM set but may include others." In each case, 
-the name used to denote the resulting font set shall not include the 
-term "STIX" or any similar term.
-
-   5. You may charge a fee in connection with the distribution of the 
-Font Software, provided that no copy of one or more of the individual 
-Font typefaces that form the STIX Fonts-TM set may be sold by itself.
-
-   6. THE FONT SOFTWARE IS PROVIDED "AS IS," WITHOUT WARRANTY OF ANY 
-KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES 
-OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT 
-OF COPYRIGHT, PATENT, TRADEMARK OR OTHER RIGHT. IN NO EVENT SHALL 
-MICROPRESS OR ANY OF THE STI PUB COMPANIES BE LIABLE FOR ANY CLAIM, 
-DAMAGES OR OTHER LIABILITY, INCLUDING, BUT NOT LIMITED TO, ANY GENERAL, 
-SPECIAL, INDIRECT, INCIDENTAL OR CONSEQUENTIAL DAMAGES, WHETHER IN AN 
-ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM OR OUT OF THE USE OR 
-INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT 
-SOFTWARE.
-
-   7. Except as contained in the notice set forth in Section 2, the 
-names MicroPress Inc. and STI Pub Companies, as well as the names of the 
-companies/organizations that compose the STI Pub Companies, shall not be 
-used in advertising or otherwise to promote the sale, use or other 
-dealings in the Font Software without the prior written consent of the 
-respective company or organization.
-
-   8. This License shall become null and void in the event of any 
-material breach of the Terms and Conditions herein by licensee.
-
-   9. A substantial portion of the STIX Fonts set was developed by 
-MicroPress Inc. for the STI Pub Companies. To obtain additional 
-mathematical fonts, please contact MicroPress, Inc., 68-30 Harrow 
-Street, Forest Hills, NY 11375, USA - Phone: (718) 575-1816.
+The STIX fonts distributed with matplotlib have been modified from
+their canonical form.  They have been converted from OTF to TTF format
+using Fontforge and this script:
 
+  #!/usr/bin/env fontforge
+  i=1
+  while ( i<$argc )
+    Open($argv[i])
+    Generate($argv[i]:r + ".ttf")
+    i = i+1
+  endloop
+
+The original STIX Font License begins below.
+
+-----------------------------------------------------------
+
+STIX Font License
+
+24 May 2010
+
+Copyright (c) 2001-2010 by the STI Pub Companies, consisting of the American
+Institute of Physics, the American Chemical Society, the American Mathematical
+Society, the American Physical Society, Elsevier, Inc., and The Institute of
+Electrical and Electronic Engineers, Inc. (www.stixfonts.org), with Reserved
+Font Name STIX Fonts, STIX Fonts (TM) is a  trademark of The Institute of
+Electrical and Electronics Engineers, Inc.
+
+Portions copyright (c) 1998-2003 by MicroPress, Inc. (www.micropress-inc.com),
+with Reserved Font Name TM Math. To obtain additional mathematical fonts, please
+contact MicroPress, Inc., 68-30 Harrow Street, Forest Hills, NY 11375, USA,
+Phone: (718) 575-1816.
+
+Portions copyright (c) 1990 by Elsevier, Inc.
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+https://scripts.sil.org/OFL
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded,
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
diff --git a/LICENSE/LICENSE_enthought.txt b/LICENSE/LICENSE_enthought.txt
deleted file mode 100644
index 27727c5eae9a..000000000000
--- a/LICENSE/LICENSE_enthought.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-Copyright (c) 2001, 2002 Enthought, Inc.
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-  a. Redistributions of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-  b. Redistributions in binary form must reproduce the above copyright
-     notice, this list of conditions and the following disclaimer in the
-     documentation and/or other materials provided with the distribution.
-  c. Neither the name of the Enthought nor the names of its contributors
-     may be used to endorse or promote products derived from this software
-     without specific prior written permission.
-
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
-ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
-OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
-DAMAGE.
-
diff --git a/LICENSE/pnpoly.license b/LICENSE/pnpoly.license
deleted file mode 100644
index 0c838f9b011e..000000000000
--- a/LICENSE/pnpoly.license
+++ /dev/null
@@ -1,26 +0,0 @@
-Copyright (c) 1970-2003, Wm. Randolph Franklin
-
-Permission is hereby granted, free of charge, to any person obtaining
-a copy of this software and associated documentation files (the
-"Software"), to deal in the Software without restriction, including
-without limitation the rights to use, copy, modify, merge, publish,
-distribute, sublicense, and/or sell copies of the Software, and to
-permit persons to whom the Software is furnished to do so, subject to
-the following conditions:
-
-   1. Redistributions of source code must retain the above copyright
-      notice, this list of conditions and the following disclaimers.
-   2. Redistributions in binary form must reproduce the above
-      copyright notice in the documentation and/or other materials
-      provided with the distribution.
-   3. The name of W. Randolph Franklin may not be used to endorse or
-      promote products derived from this Software without specific
-      prior written permission. 
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
-LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
-OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
-WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/MANIFEST.in b/MANIFEST.in
deleted file mode 100644
index e3e3befc52a4..000000000000
--- a/MANIFEST.in
+++ /dev/null
@@ -1,19 +0,0 @@
-include CHANGELOG INSTALL
-include CONTRIBUTING.md
-include Makefile MANIFEST.in
-include matplotlibrc.template setup.cfg.template
-include setupext.py setup.py distribute_setup.py
-include lib/matplotlib/mpl-data/lineprops.glade
-include lib/matplotlib/mpl-data/matplotlibrc
-include lib/matplotlib/mpl-data/images/*
-include lib/matplotlib/mpl-data/fonts/ttf/*
-include lib/matplotlib/mpl-data/fonts/pdfcorefonts/*
-include lib/matplotlib/mpl-data/fonts/afm/*
-include lib/matplotlib/mpl-data/stylelib/*
-recursive-include lib/matplotlib/mpl-data/sample_data *
-recursive-include LICENSE *
-recursive-include examples *
-recursive-include doc *
-recursive-include src  *.cpp *.c *.h *.m
-recursive-include lib *
-recursive-include extern *
diff --git a/Makefile b/Makefile
deleted file mode 100644
index 626b78d009fa..000000000000
--- a/Makefile
+++ /dev/null
@@ -1,54 +0,0 @@
-# Makefile for matplotlib
-
-PYTHON = `which python`
-VERSION = `${PYTHON} setup.py --version`
-
-DISTFILES = API_CHANGES KNOWN_BUGS INSTALL README license	\
-	CHANGELOG Makefile INTERACTIVE			\
-	MANIFEST.in lib lib/matplotlib lib/dateutil lib/pytz examples setup.py
-
-RELEASE = matplotlib-${VERSION}
-
-
-clean:
-	${PYTHON} setup.py clean;\
-	rm -f *.png *.ps *.eps *.svg *.jpg *.pdf
-	find . -name "_tmp*.py" | xargs rm -f;\
-	find . \( -name "*~" -o -name "*.pyc" \) | xargs rm -f;\
-	find unit \( -name "*.png" -o -name "*.ps"  -o -name "*.pdf" -o -name "*.eps" \) | xargs rm -f
-	find . \( -name "#*" -o -name ".#*" -o -name ".*~" -o -name "*~" \) | xargs rm -f
-
-
-release: ${DISTFILES}
-	rm -f MANIFEST;\
-	${PYTHON} license.py ${VERSION} license/LICENSE;\
-	${PYTHON} setup.py sdist --formats=gztar,zip;
-
-pyback:
-	tar cvfz pyback.tar.gz *.py lib src examples/*.py  unit/*.py
-
-
-_build_osx105:
-	CFLAGS="-Os -arch i386 -arch ppc" LDFLAGS="-Os -arch i386 -arch ppc" python setup.py build
-
-build_osx105:
-	echo "Use 'make -f fetch deps mpl_install instead'"
-
-
-jdh_doc_snapshot:
-	git pull;\
-	python setup.py install --prefix=~/dev;\
-	cd doc;\
-	rm -rf build;\
-	python make.py clean;\
-	python make.py html latex sf sfpdf;
-
-
-test:
-	${PYTHON} tests.py
-
-
-test-coverage:
-	${PYTHON} tests.py --with-coverage --cover-package=matplotlib
-
-
diff --git a/README.md b/README.md
new file mode 100644
index 000000000000..7b9c99597c0d
--- /dev/null
+++ b/README.md
@@ -0,0 +1,74 @@
+[![PyPi](https://img.shields.io/pypi/v/matplotlib)](https://pypi.org/project/matplotlib/)
+[![Conda](https://img.shields.io/conda/vn/conda-forge/matplotlib)](https://anaconda.org/conda-forge/matplotlib)
+[![Downloads](https://img.shields.io/pypi/dm/matplotlib)](https://pypi.org/project/matplotlib)
+[![NUMFocus](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org)
+
+[![Discourse help forum](https://img.shields.io/badge/help_forum-discourse-blue.svg)](https://discourse.matplotlib.org)
+[![Gitter](https://badges.gitter.im/matplotlib/matplotlib.svg)](https://gitter.im/matplotlib/matplotlib)
+[![GitHub issues](https://img.shields.io/badge/issue_tracking-github-blue.svg)](https://github.com/matplotlib/matplotlib/issues)
+[![Contributing](https://img.shields.io/badge/PR-Welcome-%23FF8300.svg?)](https://matplotlib.org/stable/devel/index.html)
+
+[![GitHub actions status](https://github.com/matplotlib/matplotlib/workflows/Tests/badge.svg)](https://github.com/matplotlib/matplotlib/actions?query=workflow%3ATests)
+[![Azure pipelines status](https://dev.azure.com/matplotlib/matplotlib/_apis/build/status/matplotlib.matplotlib?branchName=main)](https://dev.azure.com/matplotlib/matplotlib/_build/latest?definitionId=1&branchName=main)
+[![AppVeyor status](https://ci.appveyor.com/api/projects/status/github/matplotlib/matplotlib?branch=main&svg=true)](https://ci.appveyor.com/project/matplotlib/matplotlib)
+[![Codecov status](https://codecov.io/github/matplotlib/matplotlib/badge.svg?branch=main&service=github)](https://app.codecov.io/gh/matplotlib/matplotlib)
+[![EffVer Versioning](https://img.shields.io/badge/version_scheme-EffVer-0097a7)](https://jacobtomlinson.dev/effver)
+
+![Matplotlib logotype](https://matplotlib.org/_static/logo2.svg)
+
+Matplotlib is a comprehensive library for creating static, animated, and
+interactive visualizations in Python.
+
+Check out our [home page](https://matplotlib.org/) for more information.
+
+![image](https://matplotlib.org/_static/readme_preview.png)
+
+Matplotlib produces publication-quality figures in a variety of hardcopy
+formats and interactive environments across platforms. Matplotlib can be
+used in Python scripts, Python/IPython shells, web application servers,
+and various graphical user interface toolkits.
+
+## Install
+
+See the [install
+documentation](https://matplotlib.org/stable/users/installing/index.html),
+which is generated from `/doc/install/index.rst`
+
+## Contribute
+
+You've discovered a bug or something else you want to change — excellent!
+
+You've worked out a way to fix it — even better!
+
+You want to tell us about it — best of all!
+
+Start at the [contributing
+guide](https://matplotlib.org/devdocs/devel/contribute.html)!
+
+## Contact
+
+[Discourse](https://discourse.matplotlib.org/) is the discussion forum
+for general questions and discussions and our recommended starting
+point.
+
+Our active mailing lists (which are mirrored on Discourse) are:
+
+-   [Users](https://mail.python.org/mailman/listinfo/matplotlib-users)
+    mailing list: <matplotlib-users@python.org>
+-   [Announcement](https://mail.python.org/mailman/listinfo/matplotlib-announce)
+    mailing list: <matplotlib-announce@python.org>
+-   [Development](https://mail.python.org/mailman/listinfo/matplotlib-devel)
+    mailing list: <matplotlib-devel@python.org>
+
+[Gitter](https://gitter.im/matplotlib/matplotlib) is for coordinating
+development and asking questions directly related to contributing to
+matplotlib.
+
+## Citing Matplotlib
+
+If Matplotlib contributes to a project that leads to publication, please
+acknowledge this by citing Matplotlib.
+
+[A ready-made citation
+entry](https://matplotlib.org/stable/users/project/citing.html) is
+available.
diff --git a/README.osx b/README.osx
deleted file mode 100644
index 12915d488bf3..000000000000
--- a/README.osx
+++ /dev/null
@@ -1,31 +0,0 @@
-Building mpl on OSX is sometimes a nightmare because of all the
-different types of zlib, png and freetype that may be on your system.
-
-For developers who want to build matplotlib from source, the recommended and 
-supported way to build is to use a third-party package manager to install the 
-required dependencies, and then install matplotlib from source using the 
-setup.py script. Two widely used package managers are homebrew, and 
-MacPorts. The following example illustrates how to install libpng and freetype 
-using brew:
-
-Example usage::
-
-  brew install libpng freetype pkgconfig
-
-If you are using MacPorts, execute the following instead:
-
-Example usage::
-
-  port install libpng freetype
-
-To install matplotlib from source, execute:
-
-Example usage::
-
-  python setup.py install
-
-
-Note that your environment is somewhat important. Some conda users have 
-found that, to run the tests, their PYTHONPATH must include 
-/path/to/anaconda/.../site-packages and their DYLD_FALLBACK_LIBRARY_PATH 
-must include /path/to/anaconda/lib.
diff --git a/README.rst b/README.rst
deleted file mode 100644
index 6e01ea7275cc..000000000000
--- a/README.rst
+++ /dev/null
@@ -1,26 +0,0 @@
-##########
-matplotlib
-##########
-
-matplotlib is a python 2D plotting library which produces publication
-quality figures in a variety of hardcopy formats and interactive
-environments across platforms. matplotlib can be used in python
-scripts, the python and ipython shell (ala matlab or mathematica), web
-application servers, and various graphical user interface toolkits.
-
-`Home page <http://matplotlib.org/>`_
-
-Installation
-=============
-
-For installation instructions and requirements, see the INSTALL file.
-
-Testing
-=======
-
-After installation, you can launch the test suite::
-
-  python tests.py
-
-Consider reading http://matplotlib.org/devel/coding_guide.html#testing for
-more information.
diff --git a/SECURITY.md b/SECURITY.md
new file mode 100644
index 000000000000..4400a4501b51
--- /dev/null
+++ b/SECURITY.md
@@ -0,0 +1,30 @@
+# Security Policy
+
+## Supported Versions
+
+The following table lists versions and whether they are supported. Security
+vulnerability reports will be accepted and acted upon for all supported
+versions.
+
+| Version | Supported          |
+| ------- | ------------------ |
+| 3.10.x  | :white_check_mark: |
+| 3.9.x   | :white_check_mark: |
+| 3.8.x   | :x:                |
+| 3.7.x   | :x:                |
+| 3.6.x   | :x:                |
+| 3.5.x   | :x:                |
+| < 3.5   | :x:                |
+
+
+## Reporting a Vulnerability
+
+
+To report a security vulnerability, please use the [Tidelift security
+contact](https://tidelift.com/security).  Tidelift will coordinate the fix and
+disclosure.
+
+If you have found a security vulnerability, in order to keep it confidential,
+please do not report an issue on GitHub.
+
+We do not award bounties for security vulnerabilities.
diff --git a/azure-pipelines.yml b/azure-pipelines.yml
new file mode 100644
index 000000000000..d68a9d36f0d3
--- /dev/null
+++ b/azure-pipelines.yml
@@ -0,0 +1,162 @@
+# Python package
+# Create and test a Python package on multiple Python versions.
+# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and
+# more:
+# https://docs.microsoft.com/en-us/azure/devops/pipelines/ecosystems/python?view=azure-devops
+
+---
+trigger:
+  branches:
+    exclude:
+      - v*-doc
+pr:
+  branches:
+    exclude:
+      - v*-doc
+  paths:
+    exclude:
+      - doc/**/*
+      - galleries/**/*
+
+stages:
+
+  - stage: Check
+    jobs:
+      - job: Skip
+        pool:
+          vmImage: 'ubuntu-latest'
+        variables:
+          DECODE_PERCENTS: 'false'
+          RET: 'true'
+        steps:
+          - bash: |
+              git_log=`git log --max-count=1 --skip=1 --pretty=format:"%B" | tr "\n" " "`
+              echo "##vso[task.setvariable variable=log]$git_log"
+          - bash: echo "##vso[task.setvariable variable=RET]false"
+            condition: >-
+              or(contains(variables.log, '[skip azp]'),
+                 contains(variables.log, '[azp skip]'),
+                 contains(variables.log, '[skip ci]'),
+                 contains(variables.log, '[ci skip]'),
+                 contains(variables.log, '[ci doc]'))
+          - bash: echo "##vso[task.setvariable variable=start_main;isOutput=true]$RET"
+            name: result
+
+  - stage: Main
+    condition: and(succeeded(), eq(dependencies.Check.outputs['Skip.result.start_main'], 'true'))
+    dependsOn: Check
+    jobs:
+      - job: Pytest
+        strategy:
+          matrix:
+            Windows_py311:
+              vmImage: 'windows-2022'  # Keep one job pinned to the oldest image
+              python.version: '3.11'
+            Windows_py312:
+              vmImage: 'windows-latest'
+              python.version: '3.12'
+            Windows_py313:
+              vmImage: 'windows-latest'
+              python.version: '3.13'
+          maxParallel: 4
+        pool:
+          vmImage: '$(vmImage)'
+        steps:
+          - task: UsePythonVersion@0
+            inputs:
+              versionSpec: '$(python.version)'
+              architecture: 'x64'
+            displayName: 'Use Python $(python.version)'
+
+          - bash: |
+              choco install ninja
+            displayName: 'Install dependencies'
+
+          - bash: |
+              python -m pip install --upgrade pip
+              python -m pip install --upgrade -r requirements/dev/build-requirements.txt
+              python -m pip install -r requirements/testing/all.txt -r requirements/testing/extra.txt
+            displayName: 'Install dependencies with pip'
+
+          - bash: |
+              CONFIG='--config-settings=setup-args=--vsenv'
+              CONFIG="$CONFIG --config-settings=setup-args=-Dcpp_link_args=-PROFILE"
+              CONFIG="$CONFIG --config-settings=setup-args=-Dbuildtype=debug"
+
+              python -m pip install \
+                --no-build-isolation $CONFIG \
+                --verbose --editable .[dev]
+            displayName: "Install self"
+
+          - script: env
+            displayName: 'print env'
+
+          - script: pip list
+            displayName: 'print pip'
+
+          - bash: |
+              set -e
+              SESSION_ID=$(python -c "import uuid; print(uuid.uuid4(), end='')")
+              echo "Coverage session ID: ${SESSION_ID}"
+              VS=$(ls -d /c/Program\ Files*/Microsoft\ Visual\ Studio/*/Enterprise)
+              echo "Visual Studio: ${VS}"
+              DIR="$VS/Common7/IDE/Extensions/Microsoft/CodeCoverage.Console"
+              # This is for MSVC 2022 (on windows-latest).
+              TOOL="$DIR/Microsoft.CodeCoverage.Console.exe"
+              for f in build/cp*/src/*.pyd; do
+                echo $f
+                echo "=============================="
+                "$TOOL" instrument $f --session-id $SESSION_ID \
+                  --log-level Verbose --log-file instrument.log
+                cat instrument.log
+                rm instrument.log
+              done
+              echo "Starting $TOOL in server mode"
+              "$TOOL" collect \
+                  --session-id $SESSION_ID --server-mode \
+                  --output-format cobertura --output extensions.xml \
+                  --log-level Verbose --log-file extensions.log &
+              VS_VER=2022
+
+              echo "##vso[task.setvariable variable=VS_COVERAGE_TOOL]$TOOL"
+
+              PYTHONFAULTHANDLER=1 pytest -rfEsXR -n 2 \
+                  --maxfail=50 --timeout=300 --durations=25 \
+                  --junitxml=junit/test-results.xml --cov-report=xml --cov=lib
+
+              if [[ $VS_VER == 2022 ]]; then
+                "$TOOL" shutdown $SESSION_ID
+                echo "Coverage collection log"
+                echo "======================="
+                cat extensions.log
+              else
+                "$TOOL" shutdown -session:$SESSION_ID
+              fi
+            displayName: 'pytest'
+
+          - bash: |
+              if [[ -f extensions.coverage ]]; then
+                # For MSVC 2019.
+                "$VS_COVERAGE_TOOL" analyze -output:extensions.xml \
+                  -include_skipped_functions -include_skipped_modules \
+                  extensions.coverage
+                rm extensions.coverage
+              fi
+            displayName: 'Filter C coverage'
+            condition: succeededOrFailed()
+          - bash: |
+              bash <(curl -s https://codecov.io/bash) \
+                -n "$PYTHON_VERSION $AGENT_OS" \
+                -f 'coverage.xml' -f 'extensions.xml'
+            displayName: 'Upload to codecov.io'
+            condition: succeededOrFailed()
+
+          - task: PublishTestResults@2
+            inputs:
+              testResultsFiles: '**/test-results.xml'
+              testRunTitle: 'Python $(python.version)'
+            condition: succeededOrFailed()
+
+          - publish: $(System.DefaultWorkingDirectory)/result_images
+            artifact: $(Agent.JobName)-result_images
+            condition: failed()
diff --git a/boilerplate.py b/boilerplate.py
deleted file mode 100644
index 1791c808192d..000000000000
--- a/boilerplate.py
+++ /dev/null
@@ -1,330 +0,0 @@
-"""
-Script to autogenerate pyplot wrappers.
-
-When this script is run, the current contents of pyplot are
-split into generatable and non-generatable content (via the magic header
-:attr:`PYPLOT_MAGIC_HEADER`) and the generatable content is overwritten.
-Hence, the non-generatable content should be edited in the pyplot.py file
-itself, whereas the generatable content must be edited via templates in
-this file.
-
-"""
-# We did try to do the wrapping the smart way,
-# with callable functions and new.function, but could never get the
-# docstrings right for python2.2.  See
-# http://groups.google.com/group/comp.lang.python/browse_frm/thread/dcd63ec13096a0f6/1b14640f3a4ad3dc?#1b14640f3a4ad3dc
-# For some later history, see
-# http://thread.gmane.org/gmane.comp.python.matplotlib.devel/7068
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os
-import inspect
-import random
-import types
-
-import textwrap
-
-# this line imports the installed copy of matplotlib, and not the local copy
-from matplotlib.axes import Axes
-
-
-# this is the magic line that must exist in pyplot, after which the boilerplate content will be
-# appended
-PYPLOT_MAGIC_HEADER = '################# REMAINING CONTENT GENERATED BY boilerplate.py ##############\n'
-
-PYPLOT_PATH = os.path.join(os.path.dirname(__file__), 'lib',
-                               'matplotlib', 'pyplot.py')
-
-
-AUTOGEN_MSG = """
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost"""
-
-
-PLOT_TEMPLATE = AUTOGEN_MSG + """
-@_autogen_docstring(Axes.%(func)s)
-def %(func)s(%(argspec)s):
-    %(ax)s = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    %(washold)s = %(ax)s.ishold()
-%(sethold)s
-    if hold is not None:
-        %(ax)s.hold(hold)
-    try:
-        %(ret)s = %(ax)s.%(func)s(%(call)s)
-        draw_if_interactive()
-    finally:
-        %(ax)s.hold(%(washold)s)
-%(mappable)s
-    return %(ret)s
-"""
-
-
-# Used for misc functions such as cla/legend etc.
-MISC_FN_TEMPLATE = AUTOGEN_MSG + """
-@docstring.copy_dedent(Axes.%(func)s)
-def %(func)s(%(argspec)s):
-    %(ret)s = gca().%(func)s(%(call)s)
-    draw_if_interactive()
-    return %(ret)s
-"""
-
-# Used for colormap functions
-CMAP_TEMPLATE = AUTOGEN_MSG + """
-def {name}():
-    '''
-    set the default colormap to {name} and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='{name}')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.{name})
-    draw_if_interactive()
-
-"""
-
-
-def boilerplate_gen():
-    """Generator of lines for the automated part of pyplot."""
-
-    # these methods are all simple wrappers of Axes methods by the same
-    # name.
-    _plotcommands = (
-        'acorr',
-        'angle_spectrum',
-        'arrow',
-        'axhline',
-        'axhspan',
-        'axvline',
-        'axvspan',
-        'bar',
-        'barh',
-        'broken_barh',
-        'boxplot',
-        'cohere',
-        'clabel',
-        'contour',
-        'contourf',
-        'csd',
-        'errorbar',
-        'eventplot',
-        'fill',
-        'fill_between',
-        'fill_betweenx',
-        'hexbin',
-        'hist',
-        'hist2d',
-        'hlines',
-        'imshow',
-        'loglog',
-        'magnitude_spectrum',
-        'pcolor',
-        'pcolormesh',
-        'phase_spectrum',
-        'pie',
-        'plot',
-        'plot_date',
-        'psd',
-        'quiver',
-        'quiverkey',
-        'scatter',
-        'semilogx',
-        'semilogy',
-        'specgram',
-        #'spy',
-        'stackplot',
-        'stem',
-        'step',
-        'streamplot',
-        'tricontour',
-        'tricontourf',
-        'tripcolor',
-        'triplot',
-        'violinplot',
-        'vlines',
-        'xcorr',
-        'barbs',
-        )
-
-    _misccommands = (
-        'cla',
-        'grid',
-        'legend',
-        'table',
-        'text',
-        'annotate',
-        'ticklabel_format',
-        'locator_params',
-        'tick_params',
-        'margins',
-        'autoscale',
-        )
-
-    cmappable = {
-        'contour' : 'if %(ret)s._A is not None: sci(%(ret)s)',
-        'contourf': 'if %(ret)s._A is not None: sci(%(ret)s)',
-        'hexbin' :  'sci(%(ret)s)',
-        'scatter' : 'sci(%(ret)s)',
-        'pcolor'  : 'sci(%(ret)s)',
-        'pcolormesh': 'sci(%(ret)s)',
-        'hist2d' : 'sci(%(ret)s[-1])',
-        'imshow'  : 'sci(%(ret)s)',
-        #'spy'    :  'sci(%(ret)s)',  ### may return image or Line2D
-        'quiver' :  'sci(%(ret)s)',
-        'specgram'  : 'sci(%(ret)s[-1])',
-        'streamplot' :  'sci(%(ret)s.lines)',
-        'tricontour' : 'if %(ret)s._A is not None: sci(%(ret)s)',
-        'tricontourf': 'if %(ret)s._A is not None: sci(%(ret)s)',
-        'tripcolor'  : 'sci(%(ret)s)',
-
-    }
-
-    def format_value(value):
-        """
-        Format function default values as needed for inspect.formatargspec.
-        The interesting part is a hard-coded list of functions used
-        as defaults in pyplot methods.
-        """
-        if isinstance(value, types.FunctionType):
-            if value.__name__ in ('detrend_none', 'window_hanning'):
-                return '=mlab.' + value.__name__
-            if value.__name__ == 'mean':
-                return '=np.' + value.__name__
-            raise ValueError(('default value %s unknown to boilerplate.' + \
-                             'formatvalue') % value)
-        return '='+repr(value)
-
-    text_wrapper = textwrap.TextWrapper(break_long_words=False)
-
-    for fmt, cmdlist in [(PLOT_TEMPLATE, _plotcommands),
-                         (MISC_FN_TEMPLATE, _misccommands)]:
-        for func in cmdlist:
-            # For some commands, an additional line is needed to set the
-            # color map
-            if func in cmappable:
-                mappable = '    ' + cmappable[func] % locals()
-            else:
-                mappable = ''
-
-            # Get argspec of wrapped function
-            args, varargs, varkw, defaults = inspect.getargspec(getattr(Axes, func))
-            args.pop(0) # remove 'self' argument
-            if defaults is None:
-                defaults = ()
-            else:
-                def_edited = []
-                for val in defaults:
-                    if isinstance(val, unicode):
-                        val = val.encode('ascii', 'ignore')
-                    def_edited.append(val)
-                defaults = tuple(def_edited)
-
-            # How to call the wrapped function
-            call = []
-            for i, arg in enumerate(args):
-                if len(defaults) < len(args) - i:
-                    call.append('%s' % arg)
-                else:
-                    call.append('%s=%s' % (arg, arg))
-
-            if varargs is not None:
-                call.append('*'+varargs)
-            if varkw is not None:
-                call.append('**'+varkw)
-            call = ', '.join(call)
-
-            text_wrapper.width = 80 - 19 - len(func)
-            join_with = '\n' + ' ' * (18 + len(func))
-            call = join_with.join(text_wrapper.wrap(call))
-
-            # Add a hold keyword argument if needed (fmt is PLOT_TEMPLATE) and
-            # possible (if *args is used, we can't just add a hold
-            # argument in front of it since it would gobble one of the
-            # arguments the user means to pass via *args)
-            if varargs:
-                sethold = "    hold = %(varkw)s.pop('hold', None)" % locals()
-            elif fmt is PLOT_TEMPLATE:
-                args.append('hold')
-                defaults = defaults + (None,)
-                sethold = ''
-
-            # Now we can build the argspec for defining the wrapper
-            argspec = inspect.formatargspec(args, varargs, varkw, defaults,
-                                            formatvalue=format_value)
-            argspec = argspec[1:-1] # remove parens
-
-            text_wrapper.width = 80 - 5 - len(func)
-            join_with = '\n' + ' ' * (5 + len(func))
-            argspec = join_with.join(text_wrapper.wrap(argspec))
-
-            # A gensym-like facility in case some function takes an
-            # argument named washold, ax, or ret
-            washold, ret, ax = 'washold', 'ret', 'ax'
-            bad = set(args) | set((varargs, varkw))
-            while washold in bad or ret in bad or ax in bad:
-                washold = 'washold' + str(random.randrange(10**12))
-                ret = 'ret' + str(random.randrange(10**12))
-                ax = 'ax' + str(random.randrange(10**12))
-
-            # Since we can't avoid using some function names,
-            # bail out if they are used as argument names
-            for reserved in ('gca', 'gci', 'draw_if_interactive'):
-                if reserved in bad:
-                    msg = 'Axes method %s has kwarg named %s' % (func, reserved)
-                    raise ValueError(msg)
-
-            yield fmt % locals()
-
-    cmaps = (
-        'autumn',
-        'bone',
-        'cool',
-        'copper',
-        'flag',
-        'gray' ,
-        'hot',
-        'hsv',
-        'jet' ,
-        'pink',
-        'prism',
-        'spring',
-        'summer',
-        'winter',
-        'spectral'
-    )
-    # add all the colormaps (autumn, hsv, ....)
-    for name in cmaps:
-        yield CMAP_TEMPLATE.format(name=name)
-
-    yield ''
-    yield '_setup_pyplot_info_docstrings()'
-
-def build_pyplot():
-    pyplot_path = os.path.join(os.path.dirname(__file__), 'lib',
-                               'matplotlib', 'pyplot.py')
-
-    pyplot_orig = open(pyplot_path, 'r').readlines()
-
-
-    try:
-        pyplot_orig = pyplot_orig[:pyplot_orig.index(PYPLOT_MAGIC_HEADER)+1]
-    except IndexError:
-        raise ValueError('The pyplot.py file *must* have the exact line: %s' % PYPLOT_MAGIC_HEADER)
-
-    pyplot = open(pyplot_path, 'w')
-    pyplot.writelines(pyplot_orig)
-    pyplot.write('\n')
-
-    pyplot.writelines(boilerplate_gen())
-    pyplot.write('\n')
-
-
-if __name__ == '__main__':
-    # Write the matplotlib.pyplot file
-    build_pyplot()
diff --git a/ci/check_version_number.py b/ci/check_version_number.py
new file mode 100644
index 000000000000..8902fb0806c7
--- /dev/null
+++ b/ci/check_version_number.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python3
+
+"""
+Check that the version number of the install Matplotlib does not start with 0
+
+To run:
+    $ python3 -m build .
+    $ pip install dist/matplotlib*.tar.gz for sdist
+    $ pip install dist/matplotlib*.whl for wheel
+    $ ./ci/check_version_number.py
+"""
+import sys
+
+import matplotlib
+
+
+print(f"Version {matplotlib.__version__} installed")
+if matplotlib.__version__[0] == "0":
+    sys.exit("Version incorrectly starts with 0")
diff --git a/ci/check_wheel_licenses.py b/ci/check_wheel_licenses.py
new file mode 100644
index 000000000000..13470dc692bd
--- /dev/null
+++ b/ci/check_wheel_licenses.py
@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+
+"""
+Check that all specified .whl files have the correct LICENSE files included.
+
+To run:
+    $ python3 -m build --wheel
+    $ ./ci/check_wheel_licenses.py dist/*.whl
+"""
+
+from pathlib import Path
+import sys
+import zipfile
+
+
+if len(sys.argv) <= 1:
+    sys.exit('At least one wheel must be specified in command-line arguments.')
+
+project_dir = Path(__file__).parent.resolve().parent
+license_dir = project_dir / 'LICENSE'
+
+license_file_names = {path.name for path in sorted(license_dir.glob('*'))}
+for wheel in sys.argv[1:]:
+    print(f'Checking LICENSE files in: {wheel}')
+    with zipfile.ZipFile(wheel) as f:
+        wheel_license_file_names = {Path(path).name
+                                    for path in sorted(f.namelist())
+                                    if '.dist-info/LICENSE' in path}
+        if not (len(wheel_license_file_names) and
+                wheel_license_file_names.issuperset(license_file_names)):
+            sys.exit(f'LICENSE file(s) missing:\n'
+                     f'{wheel_license_file_names} !=\n'
+                     f'{license_file_names}')
diff --git a/ci/codespell-ignore-words.txt b/ci/codespell-ignore-words.txt
new file mode 100644
index 000000000000..0ebc5211b80c
--- /dev/null
+++ b/ci/codespell-ignore-words.txt
@@ -0,0 +1,22 @@
+aas
+ABD
+axises
+coo
+curvelinear
+filll
+flate
+fpt
+hax
+inh
+inout
+ment
+nd
+oint
+oly
+te
+thisy
+ure
+whis
+wit
+Copin
+socio-economic
diff --git a/ci/export_sdist_name.py b/ci/export_sdist_name.py
new file mode 100644
index 000000000000..632c11a15f83
--- /dev/null
+++ b/ci/export_sdist_name.py
@@ -0,0 +1,21 @@
+#!/usr/bin/env python3
+
+"""
+Determine the name of the sdist and export to GitHub output named SDIST_NAME.
+
+To run:
+    $ python3 -m build --sdist
+    $ ./ci/determine_sdist_name.py
+"""
+import os
+from pathlib import Path
+import sys
+
+
+paths = [p.name for p in Path("dist").glob("*.tar.gz")]
+if len(paths) != 1:
+    sys.exit(f"Only a single sdist is supported, but found: {paths}")
+
+print(paths[0])
+with open(os.environ["GITHUB_OUTPUT"], "a") as f:
+    f.write(f"SDIST_NAME={paths[0]}\n")
diff --git a/ci/mypy-stubtest-allowlist.txt b/ci/mypy-stubtest-allowlist.txt
new file mode 100644
index 000000000000..46ec06e0a9f1
--- /dev/null
+++ b/ci/mypy-stubtest-allowlist.txt
@@ -0,0 +1,51 @@
+# Non-typed (and private) modules/functions
+matplotlib\.backends\..*
+matplotlib\.tests(\..*)?
+matplotlib\.pylab(\..*)?
+matplotlib\._.*
+matplotlib\.rcsetup\._listify_validator
+matplotlib\.rcsetup\._validate_linestyle
+matplotlib\.ft2font\.Glyph
+matplotlib\.testing\.jpl_units\..*
+matplotlib\.sphinxext(\..*)?
+
+# set methods have heavy dynamic usage of **kwargs, with differences for subclasses
+# which results in technically inconsistent signatures, but not actually a problem
+matplotlib\..*\.set$
+
+# Typed inline, inconsistencies largely due to imports
+matplotlib\.pyplot\..*
+matplotlib\.typing\..*
+
+# Other decorator modifying signature
+# Backcompat decorator which does not modify runtime reported signature
+matplotlib\.offsetbox\..*Offset[Bb]ox\.get_offset
+
+# Inconsistent super/sub class parameter name (maybe rename for consistency)
+matplotlib\.projections\.polar\.RadialLocator\.nonsingular
+matplotlib\.ticker\.LogLocator\.nonsingular
+matplotlib\.ticker\.LogitLocator\.nonsingular
+
+# Stdlib/Enum considered inconsistent (no fault of ours, I don't think)
+matplotlib\.backend_bases\._Mode\.__new__
+matplotlib\.units\.Number\.__hash__
+
+# 3.6 Pending deprecations
+matplotlib\.figure\.Figure\.set_constrained_layout
+matplotlib\.figure\.Figure\.set_constrained_layout_pads
+matplotlib\.figure\.Figure\.set_tight_layout
+
+# Maybe should be abstractmethods, required for subclasses, stubs define once
+matplotlib\.tri\..*TriInterpolator\.__call__
+matplotlib\.tri\..*TriInterpolator\.gradient
+
+# TypeVar used only in type hints
+matplotlib\.backend_bases\.FigureCanvasBase\._T
+matplotlib\.backend_managers\.ToolManager\._T
+matplotlib\.spines\.Spine\._T
+
+# Parameter inconsistency due to 3.10 deprecation
+matplotlib\.figure\.FigureBase\.get_figure
+
+# getitem method only exists for 3.10 deprecation backcompatability
+matplotlib\.inset\.InsetIndicator\.__getitem__
diff --git a/ci/schemas/README.md b/ci/schemas/README.md
new file mode 100644
index 000000000000..087fd31d2ab8
--- /dev/null
+++ b/ci/schemas/README.md
@@ -0,0 +1,5 @@
+YAML Schemas for linting and validation
+=======================================
+
+Since pre-commit CI doesn't have Internet access, we need to bundle these files
+in the repo. The schemas can be updated using `vendor_schemas.py`.
diff --git a/ci/schemas/appveyor.json b/ci/schemas/appveyor.json
new file mode 100644
index 000000000000..d19a10f23b75
--- /dev/null
+++ b/ci/schemas/appveyor.json
@@ -0,0 +1,781 @@
+{
+  "$schema": "http://json-schema.org/draft-04/schema#",
+  "allOf": [
+    {
+      "$ref": "#/definitions/job"
+    }
+  ],
+  "definitions": {
+    "possiblySecretString": {
+      "anyOf": [
+        {
+          "type": "string",
+          "description": "This value will be used directly (regular string)"
+        },
+        {
+          "type": "number",
+          "description": "This value will be treated as a string even though it is a number"
+        },
+        {
+          "title": "secret string",
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "secure": {
+              "type": "string",
+              "description": "This should have been encrypted by the same user account to which the project belongs"
+            }
+          }
+        }
+      ]
+    },
+    "commitFilter": {
+      "title": "commit filter",
+      "type": "object",
+      "additionalProperties": false,
+      "properties": {
+        "message": {
+          "type": "string",
+          "format": "regex",
+          "description": "Regex for matching commit message"
+        },
+        "author": {
+          "description": "Commit author's username, name, email or regexp matching one of these.",
+          "anyOf": [
+            {
+              "type": "string",
+              "format": "regex"
+            },
+            {
+              "type": "string"
+            }
+          ]
+        },
+        "files": {
+          "type": "array",
+          "description": "Only specific files (glob patterns)",
+          "items": {
+            "type": "string"
+          }
+        }
+      }
+    },
+    "command": {
+      "title": "command",
+      "oneOf": [
+        {
+          "type": "string",
+          "description": "Run a batch command"
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "ps": {
+              "type": "string",
+              "description": "Run a PowerShell command"
+            }
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "pwsh": {
+              "type": "string",
+              "description": "Run a PowerShell Core command"
+            }
+          }
+        },
+        {
+          "type": "object",
+          "description": "Run a batch command",
+          "additionalProperties": false,
+          "properties": {
+            "cmd": {
+              "type": "string"
+            }
+          }
+        },
+        {
+          "type": "object",
+          "description": "Run a Bash command",
+          "additionalProperties": false,
+          "properties": {
+            "sh": {
+              "type": "string"
+            }
+          }
+        }
+      ]
+    },
+    "envVarHash": {
+      "title": "environment variable hash",
+      "type": "object",
+      "additionalProperties": {
+        "$ref": "#/definitions/possiblySecretString"
+      }
+    },
+    "platform": {
+      "enum": ["x86", "x64", "ARM", "ARM64", "Win32", "Any CPU"]
+    },
+    "configuration": {
+      "type": "string"
+    },
+    "imageName": {
+      "enum": [
+        "macOS",
+        "macOS-Mojave",
+        "macos-bigsur",
+        "macos-monterey",
+        "Previous macOS",
+        "Previous macOS-Mojave",
+        "Ubuntu",
+        "Ubuntu1604",
+        "Ubuntu1804",
+        "Ubuntu2004",
+        "Ubuntu2204",
+        "Previous Ubuntu",
+        "Previous Ubuntu1604",
+        "Previous Ubuntu1804",
+        "Previous Ubuntu2004",
+        "Visual Studio 2013",
+        "Visual Studio 2015",
+        "Visual Studio 2017",
+        "Visual Studio 2019",
+        "Visual Studio 2022",
+        "Visual Studio 2017 Preview",
+        "Visual Studio 2019 Preview",
+        "Previous Visual Studio 2013",
+        "Previous Visual Studio 2015",
+        "Previous Visual Studio 2017",
+        "Previous Visual Studio 2019",
+        "Previous Visual Studio 2022",
+        "zhaw18",
+        "WMF 5"
+      ]
+    },
+    "image": {
+      "description": "Build worker image (VM template) -DEV_VERSION",
+      "oneOf": [
+        {
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/imageName"
+          }
+        },
+        {
+          "$ref": "#/definitions/imageName"
+        }
+      ]
+    },
+    "jobScalars": {
+      "title": "job scalars",
+      "type": "object",
+      "properties": {
+        "image": {
+          "$ref": "#/definitions/image"
+        },
+        "platform": {
+          "description": "Build platform, i.e. x86, x64, Any CPU. This setting is optional",
+          "oneOf": [
+            {
+              "$ref": "#/definitions/platform"
+            },
+            {
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/platform"
+              }
+            }
+          ]
+        },
+        "configuration": {
+          "description": "Build Configuration, i.e. Debug, Release, etc.",
+          "oneOf": [
+            {
+              "$ref": "#/definitions/configuration"
+            },
+            {
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/configuration"
+              }
+            }
+          ]
+        }
+      },
+      "allOf": [
+        {
+          "not": {
+            "required": ["skip_tags"]
+          }
+        },
+        {
+          "not": {
+            "required": ["skip_commits"]
+          }
+        },
+        {
+          "not": {
+            "required": ["skip_branch_with_pr"]
+          }
+        },
+        {
+          "not": {
+            "required": ["skip_non_tags"]
+          }
+        }
+      ]
+    },
+    "job": {
+      "title": "job",
+      "type": "object",
+      "properties": {
+        "version": {
+          "description": "Version format",
+          "type": "string"
+        },
+        "branches": {
+          "title": "branch options",
+          "type": "object",
+          "description": "Branches to build",
+          "additionalProperties": false,
+          "properties": {
+            "only": {
+              "description": "Whitelist",
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "except": {
+              "type": "array",
+              "description": "Blacklist",
+              "items": {
+                "type": "string"
+              }
+            }
+          }
+        },
+        "skip_tags": {
+          "type": "boolean",
+          "description": "Do not build on tags (GitHub and BitBucket)"
+        },
+        "skip_non_tags": {
+          "type": "boolean",
+          "description": "Start builds on tags only (GitHub and BitBucket)"
+        },
+        "skip_commits": {
+          "$ref": "#/definitions/commitFilter",
+          "description": "Skipping commits with particular message or from specific user"
+        },
+        "only_commits": {
+          "$ref": "#/definitions/commitFilter",
+          "description": "Including commits with particular message or from specific user"
+        },
+        "skip_branch_with_pr": {
+          "type": "boolean",
+          "description": "Do not build feature branch with open Pull Requests"
+        },
+        "max_jobs": {
+          "description": "Maximum number of concurrent jobs for the project",
+          "type": "integer"
+        },
+        "notifications": {
+          "type": "array",
+          "items": {
+            "title": "notification",
+            "type": "object"
+          }
+        },
+        "image": {
+          "$ref": "#/definitions/image"
+        },
+        "init": {
+          "description": "Scripts that are called at very beginning, before repo cloning",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "clone_folder": {
+          "type": "string",
+          "description": "Clone directory"
+        },
+        "shallow_clone": {
+          "type": "boolean",
+          "description": "Fetch repository as zip archive",
+          "default": false
+        },
+        "clone_depth": {
+          "description": "Set git clone depth",
+          "type": "integer"
+        },
+        "hosts": {
+          "title": "host options",
+          "type": "object",
+          "description": "Setting up etc\\hosts file",
+          "additionalProperties": {
+            "type": "string",
+            "anyOf": [
+              {
+                "format": "ipv4"
+              },
+              {
+                "format": "ipv6"
+              }
+            ]
+          }
+        },
+        "environment": {
+          "description": "Environment variables",
+          "anyOf": [
+            {
+              "title": "environment options",
+              "type": "object",
+              "properties": {
+                "global": {
+                  "$ref": "#/definitions/envVarHash",
+                  "description": "variables defined here are no different than those defined at top level of 'environment' node"
+                },
+                "matrix": {
+                  "type": "array",
+                  "description": "an array of environment variables, each member of which is one dimension in the build matrix calculation",
+                  "items": {
+                    "$ref": "#/definitions/envVarHash"
+                  }
+                }
+              }
+            },
+            {
+              "$ref": "#/definitions/envVarHash"
+            }
+          ]
+        },
+        "matrix": {
+          "title": "matrix options",
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "fast_finish": {
+              "type": "boolean",
+              "description": "Set this flag to immediately finish build once one of the jobs fails"
+            },
+            "allow_failures": {
+              "type": "array",
+              "description": "This is how to allow failing jobs in the matrix",
+              "items": {
+                "$ref": "#/definitions/jobScalars"
+              }
+            },
+            "exclude": {
+              "type": "array",
+              "description": "Exclude configuration from the matrix. Works similarly to 'allow_failures' but build not even being started for excluded combination.",
+              "items": {
+                "$ref": "#/definitions/job"
+              }
+            }
+          }
+        },
+        "cache": {
+          "type": "array",
+          "description": "Build cache to preserve files/folders between builds",
+          "items": {
+            "type": "string"
+          }
+        },
+        "services": {
+          "type": "array",
+          "description": "Enable service required for build/tests",
+          "items": {
+            "enum": [
+              "docker",
+              "iis",
+              "mongodb",
+              "msmq",
+              "mssql",
+              "mssql2008r2sp2",
+              "mssql2008r2sp2rs",
+              "mssql2012sp1",
+              "mssql2012sp1rs",
+              "mssql2014",
+              "mssql2014rs",
+              "mssql2016",
+              "mssql2017",
+              "mysql",
+              "postgresql",
+              "postgresql93",
+              "postgresql94",
+              "postgresql95",
+              "postgresql96",
+              "postgresql10",
+              "postgresql11",
+              "postgresql12",
+              "postgresql13"
+            ]
+          }
+        },
+        "install": {
+          "description": "Scripts that run after cloning repository",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "assembly_info": {
+          "title": "assembly options",
+          "type": "object",
+          "description": "Enable patching of AssemblyInfo.* files",
+          "additionalProperties": false,
+          "properties": {
+            "patch": {
+              "type": "boolean"
+            },
+            "file": {
+              "type": "string"
+            },
+            "assembly_version": {
+              "type": "string"
+            },
+            "assembly_file_version": {
+              "type": "string"
+            },
+            "assembly_informational_version": {
+              "type": "string"
+            }
+          }
+        },
+        "nuget": {
+          "title": "NuGet options",
+          "type": "object",
+          "description": "Automatically register private account and/or project AppVeyor NuGet feeds",
+          "properties": {
+            "account_feed": {
+              "type": "boolean"
+            },
+            "project_feed": {
+              "type": "boolean"
+            },
+            "disable_publish_on_pr": {
+              "type": "boolean",
+              "description": "Disable publishing of .nupkg artifacts to account/project feeds for pull request builds"
+            }
+          }
+        },
+        "platform": {
+          "description": "Build platform, i.e. x86, x64, Any CPU. This setting is optional",
+          "oneOf": [
+            {
+              "$ref": "#/definitions/platform"
+            },
+            {
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/platform"
+              }
+            }
+          ]
+        },
+        "configuration": {
+          "description": "Build Configuration, i.e. Debug, Release, etc.",
+          "oneOf": [
+            {
+              "$ref": "#/definitions/configuration"
+            },
+            {
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/configuration"
+              }
+            }
+          ]
+        },
+        "build": {
+          "oneOf": [
+            {
+              "type": "boolean",
+              "enum": [false]
+            },
+            {
+              "title": "build options",
+              "type": "object",
+              "additionalProperties": false,
+              "properties": {
+                "parallel": {
+                  "type": "boolean",
+                  "description": "Enable MSBuild parallel builds"
+                },
+                "project": {
+                  "type": "string",
+                  "description": "Path to Visual Studio solution or project"
+                },
+                "publish_wap": {
+                  "type": "boolean",
+                  "description": "Package Web Application Projects (WAP) for Web Deploy"
+                },
+                "publish_wap_xcopy": {
+                  "type": "boolean",
+                  "description": "Package Web Application Projects (WAP) for XCopy deployment"
+                },
+                "publish_wap_beanstalk": {
+                  "type": "boolean",
+                  "description": "Package Web Applications for AWS Elastic Beanstalk deployment"
+                },
+                "publish_wap_octopus": {
+                  "type": "boolean",
+                  "description": "Package Web Applications for Octopus deployment"
+                },
+                "publish_azure_webjob": {
+                  "type": "boolean",
+                  "description": "Package Azure WebJobs for Zip Push deployment"
+                },
+                "publish_azure": {
+                  "type": "boolean",
+                  "description": "Package Azure Cloud Service projects and push to artifacts"
+                },
+                "publish_aspnet_core": {
+                  "type": "boolean",
+                  "description": "Package ASP.NET Core projects"
+                },
+                "publish_core_console": {
+                  "type": "boolean",
+                  "description": "Package .NET Core console projects"
+                },
+                "publish_nuget": {
+                  "type": "boolean",
+                  "description": "Package projects with .nuspec files and push to artifacts"
+                },
+                "publish_nuget_symbols": {
+                  "type": "boolean",
+                  "description": "Generate and publish NuGet symbol packages"
+                },
+                "include_nuget_references": {
+                  "type": "boolean",
+                  "description": "Add -IncludeReferencedProjects option while packaging NuGet artifacts"
+                },
+                "verbosity": {
+                  "enum": ["quiet", "minimal", "normal", "detailed"],
+                  "description": "MSBuild verbosity level"
+                }
+              }
+            }
+          ]
+        },
+        "before_build": {
+          "description": "Scripts to run before build",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "before_package": {
+          "description": "Scripts to run *after* solution is built and *before* automatic packaging occurs (web apps, NuGet packages, Azure Cloud Services)",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "after_build": {
+          "description": "Scripts to run after build",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "build_script": {
+          "description": "To run your custom scripts instead of automatic MSBuild",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "before_test": {
+          "description": "Scripts to run before tests",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "test": {
+          "oneOf": [
+            {
+              "type": "boolean",
+              "enum": [false],
+              "description": "To disable automatic tests"
+            },
+            {
+              "title": "test options",
+              "description": "To run tests again only selected assemblies and/or categories",
+              "type": "object",
+              "additionalProperties": false,
+              "properties": {
+                "assemblies": {
+                  "title": "assembly options",
+                  "type": "object",
+                  "additionalProperties": false,
+                  "properties": {
+                    "only": {
+                      "type": "array",
+                      "items": {
+                        "type": "string"
+                      }
+                    },
+                    "except": {
+                      "type": "array",
+                      "items": {
+                        "type": "string"
+                      }
+                    }
+                  }
+                },
+                "categories": {
+                  "oneOf": [
+                    {
+                      "title": "category options",
+                      "type": "object",
+                      "additionalProperties": false,
+                      "properties": {
+                        "only": {
+                          "type": "array",
+                          "items": {
+                            "type": "string"
+                          }
+                        },
+                        "except": {
+                          "type": "array",
+                          "items": {
+                            "type": "string"
+                          }
+                        }
+                      }
+                    },
+                    {
+                      "description": "To run tests from different categories as separate jobs in parallel",
+                      "type": "array",
+                      "items": {
+                        "oneOf": [
+                          {
+                            "type": "string",
+                            "description": "A category common for all jobs"
+                          },
+                          {
+                            "type": "array",
+                            "items": {
+                              "type": "string"
+                            }
+                          }
+                        ]
+                      }
+                    }
+                  ]
+                }
+              }
+            }
+          ]
+        },
+        "test_script": {
+          "description": "To run your custom scripts instead of automatic tests",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "after_test": {
+          "type": "array",
+          "description": "Scripts to run after tests",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "artifacts": {
+          "type": "array",
+          "items": {
+            "title": "artifact options",
+            "type": "object",
+            "additionalProperties": false,
+            "properties": {
+              "path": {
+                "type": "string"
+              },
+              "name": {
+                "type": "string"
+              },
+              "type": {
+                "enum": [
+                  "Auto",
+                  "WebDeployPackage",
+                  "NuGetPackage",
+                  "AzureCloudService",
+                  "AzureCloudServiceConfig",
+                  "SsdtPackage",
+                  "Zip",
+                  "File"
+                ]
+              }
+            },
+            "required": ["path"]
+          }
+        },
+        "before_deploy": {
+          "type": "array",
+          "description": "Scripts to run before deployment",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "deploy": {
+          "oneOf": [
+            {
+              "enum": ["off"]
+            },
+            {
+              "type": "array",
+              "items": {
+                "title": "deployment options",
+                "type": "object"
+              }
+            }
+          ]
+        },
+        "deploy_script": {
+          "description": "To run your custom scripts instead of provider deployments",
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "after_deploy": {
+          "type": "array",
+          "description": "Scripts to run after deployment",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "on_success": {
+          "type": "array",
+          "description": "On successful build",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "on_failure": {
+          "type": "array",
+          "description": "On build failure",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        },
+        "on_finish": {
+          "type": "array",
+          "description": "After build failure or success",
+          "items": {
+            "$ref": "#/definitions/command"
+          }
+        }
+      }
+    }
+  },
+  "id": "https://json.schemastore.org/appveyor.json",
+  "title": "JSON schema for AppVeyor CI configuration files"
+}
diff --git a/ci/schemas/circleciconfig.json b/ci/schemas/circleciconfig.json
new file mode 100644
index 000000000000..076944098440
--- /dev/null
+++ b/ci/schemas/circleciconfig.json
@@ -0,0 +1,1411 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/circleciconfig.json",
+  "definitions": {
+    "logical": {
+      "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nA logical statement to be used in dynamic configuration",
+      "oneOf": [
+        {
+          "type": ["string", "boolean", "integer", "number"]
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "minProperties": 1,
+          "maxProperties": 1,
+          "properties": {
+            "and": {
+              "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nLogical and: true when all statements in the list are true",
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/logical"
+              }
+            },
+            "or": {
+              "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nLogical or: true when at least one statements in the list is true",
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/logical"
+              }
+            },
+            "not": {
+              "$ref": "#/definitions/logical",
+              "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nLogical not: true when statement is false"
+            },
+            "equal": {
+              "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nTrue when all elements in the list are equal",
+              "type": "array"
+            },
+            "matches": {
+              "description": "https://circleci.com/docs/configuration-reference#logic-statements \n\nTrue when value matches the pattern",
+              "type": "object",
+              "additionalProperties": false,
+              "properties": {
+                "pattern": {
+                  "type": "string"
+                },
+                "value": {
+                  "type": "string"
+                }
+              }
+            }
+          }
+        }
+      ]
+    },
+    "filter": {
+      "description": "A map defining rules for execution on specific branches",
+      "type": "object",
+      "additionalProperties": false,
+      "properties": {
+        "only": {
+          "description": "Either a single branch specifier, or a list of branch specifiers",
+          "oneOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          ]
+        },
+        "ignore": {
+          "description": "Either a single branch specifier, or a list of branch specifiers",
+          "oneOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          ]
+        }
+      }
+    },
+    "orbs": {
+      "description": "https://circleci.com/docs/configuration-reference#orbs-requires-version-21\n\nOrbs are reusable packages of CircleCI configuration that you may share across projects, enabling you to create encapsulated, parameterized commands, jobs, and executors that can be used across multiple projects.",
+      "type": "object",
+      "additionalProperties": {
+        "oneOf": [
+          {
+            "description": "https://circleci.com/docs/creating-orbs#semantic-versioning-in-orbs\n\nAn orb to depend on and its semver range, or volatile for the most recent release.",
+            "type": "string",
+            "pattern": "^[a-z][a-z0-9_-]+/[a-z][a-z0-9_-]+@(dev:[\\.a-z0-9_-]+|\\d+|\\d+\\.\\d+|\\d+\\.\\d+\\.\\d+|volatile)$"
+          },
+          {
+            "description": "https://circleci.com/docs/creating-orbs#creating-inline-orbs\n\nInline orbs can be handy during development of an orb or as a convenience for name-spacing jobs and commands in lengthy configurations, particularly if you later intend to share the orb with others.",
+            "type": "object",
+            "properties": {
+              "orbs": {
+                "$ref": "#/definitions/orbs"
+              },
+              "commands": {
+                "$ref": "#/definitions/commands"
+              },
+              "executors": {
+                "$ref": "#/definitions/executors"
+              },
+              "jobs": {
+                "$ref": "#/definitions/jobs"
+              }
+            }
+          }
+        ]
+      }
+    },
+    "commands": {
+      "description": "https://circleci.com/docs/configuration-reference#commands-requires-version-21\n\nA command definition defines a sequence of steps as a map to be executed in a job, enabling you to reuse a single command definition across multiple jobs.",
+      "type": "object",
+      "additionalProperties": {
+        "description": "https://circleci.com/docs/configuration-reference#commands-requires-version-21\n\nDefinition of a custom command.",
+        "type": "object",
+        "required": ["steps"],
+        "properties": {
+          "steps": {
+            "description": "A sequence of steps run inside the calling job of the command.",
+            "type": "array",
+            "items": {
+              "$ref": "#/definitions/step"
+            }
+          },
+          "parameters": {
+            "description": "https://circleci.com/docs/reusing-config#using-the-parameters-declaration\n\nA map of parameter keys.",
+            "type": "object",
+            "patternProperties": {
+              "^[a-z][a-z0-9_-]+$": {
+                "oneOf": [
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#string\n\nA string parameter.",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["string"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "string"
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#boolean\n\nA boolean parameter.",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["boolean"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "boolean"
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#integer\n\nAn integer parameter.",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["integer"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "integer"
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#enum\n\nThe `enum` parameter may be a list of any values. Use the `enum` parameter type when you want to enforce that the value must be one from a specific set of string values.",
+                    "type": "object",
+                    "required": ["type", "enum"],
+                    "properties": {
+                      "type": {
+                        "enum": ["enum"]
+                      },
+                      "enum": {
+                        "type": "array",
+                        "minItems": 1,
+                        "items": {
+                          "type": "string"
+                        }
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "string"
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#executor\n\nUse an `executor` parameter type to allow the invoker of a job to decide what executor it will run on.",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["executor"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "string"
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#steps\n\nSteps are used when you have a job or command that needs to mix predefined and user-defined steps. When passed in to a command or job invocation, the steps passed as parameters are always defined as a sequence, even if only one step is provided.",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["steps"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "array",
+                        "items": {
+                          "$ref": "#/definitions/step"
+                        }
+                      }
+                    }
+                  },
+                  {
+                    "description": "https://circleci.com/docs/reusing-config#environment-variable-name\n\nThe environment variable name parameter is a string that must match a POSIX_NAME regexp (e.g. no spaces or special characters) and is a more meaningful parameter type that enables additional checks to be performed. ",
+                    "type": "object",
+                    "required": ["type"],
+                    "properties": {
+                      "type": {
+                        "enum": ["env_var_name"]
+                      },
+                      "description": {
+                        "type": "string"
+                      },
+                      "default": {
+                        "type": "string",
+                        "pattern": "^[a-zA-Z][a-zA-Z0-9_-]+$"
+                      }
+                    }
+                  }
+                ]
+              }
+            }
+          },
+          "description": {
+            "description": "A string that describes the purpose of the command.",
+            "type": "string"
+          }
+        }
+      }
+    },
+    "dockerLayerCaching": {
+      "description": "Set to `true` to enable [Docker Layer Caching](https://circleci.com/docs/docker-layer-caching). Note: If you haven't already, you must open a support ticket to have a CircleCI Sales representative contact you about enabling this feature on your account for an additional fee.",
+      "type": "boolean",
+      "default": "true"
+    },
+    "dockerExecutor": {
+      "description": "Options for the [docker executor](https://circleci.com/docs/configuration-reference#docker)",
+      "required": ["docker"],
+      "properties": {
+        "docker": {
+          "type": "array",
+          "items": {
+            "type": "object",
+            "additionalProperties": false,
+            "required": ["image"],
+            "properties": {
+              "image": {
+                "description": "The name of a custom docker image to use",
+                "type": "string"
+              },
+              "name": {
+                "description": "The name the container is reachable by. By default, container services are accessible through `localhost`",
+                "type": "string"
+              },
+              "entrypoint": {
+                "description": "The command used as executable when launching the container",
+                "oneOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "array",
+                    "items": {
+                      "type": "string"
+                    }
+                  }
+                ]
+              },
+              "command": {
+                "description": "The command used as pid 1 (or args for entrypoint) when launching the container",
+                "oneOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "array",
+                    "items": {
+                      "type": "string"
+                    }
+                  }
+                ]
+              },
+              "user": {
+                "description": "Which user to run the command as",
+                "type": "string"
+              },
+              "environment": {
+                "description": "A map of environment variable names and values",
+                "type": "object",
+                "additionalProperties": {
+                  "type": ["string", "number", "boolean"]
+                }
+              },
+              "auth": {
+                "description": "Authentication for registries using standard `docker login` credentials",
+                "type": "object",
+                "additionalProperties": false,
+                "properties": {
+                  "username": {
+                    "type": "string"
+                  },
+                  "password": {
+                    "type": "string"
+                  }
+                }
+              },
+              "aws_auth": {
+                "description": "Authentication for AWS EC2 Container Registry (ECR). You can use the access/secret keys or OIDC.",
+                "type": "object",
+                "additionalProperties": false,
+                "properties": {
+                  "aws_access_key_id": {
+                    "type": "string"
+                  },
+                  "aws_secret_access_key": {
+                    "type": "string"
+                  },
+                  "oidc_role_arn": {
+                    "type": "string"
+                  }
+                }
+              }
+            }
+          }
+        },
+        "resource_class": {
+          "description": "Amount of CPU and RAM allocated for each job. Note: A performance plan is required to access this feature.",
+          "type": "string",
+          "enum": [
+            "small",
+            "medium",
+            "medium+",
+            "large",
+            "xlarge",
+            "2xlarge",
+            "2xlarge+",
+            "arm.medium",
+            "arm.large",
+            "arm.xlarge",
+            "arm.2xlarge"
+          ]
+        }
+      }
+    },
+    "machineExecutor": {
+      "description": "Options for the [machine executor](https://circleci.com/docs/configuration-reference#machine)",
+      "type": "object",
+      "required": ["machine"],
+      "oneOf": [
+        {
+          "properties": {
+            "machine": {
+              "oneOf": [
+                { "const": "default" },
+                { "const": true },
+                {
+                  "type": "object",
+                  "additionalProperties": false,
+                  "required": ["image"],
+                  "properties": {
+                    "image": {
+                      "description": "The VM image to use. View [available images](https://circleci.com/docs/configuration-reference/#available-linux-machine-images-cloud). **Note:** This key is **not** supported on the installable CircleCI. For information about customizing machine executor images on CircleCI installed on your servers, see our [VM Service documentation](https://circleci.com/docs/vm-service).",
+                      "type": "string",
+                      "enum": [
+                        "ubuntu-2004:2023.10.1",
+                        "ubuntu-2004:2023.07.1",
+                        "ubuntu-2004:2023.04.2",
+                        "ubuntu-2004:2023.04.1",
+                        "ubuntu-2004:2023.02.1",
+                        "ubuntu-2004:2022.10.1",
+                        "ubuntu-2004:2022.07.1",
+                        "ubuntu-2004:2022.04.2",
+                        "ubuntu-2004:2022.04.1",
+                        "ubuntu-2004:202201-02",
+                        "ubuntu-2004:202201-01",
+                        "ubuntu-2004:202111-02",
+                        "ubuntu-2004:202111-01",
+                        "ubuntu-2004:202107-02",
+                        "ubuntu-2004:202104-01",
+                        "ubuntu-2004:202101-01",
+                        "ubuntu-2004:202010-01",
+                        "ubuntu-2004:current",
+                        "ubuntu-2004:edge",
+                        "ubuntu-2204:2023.10.1",
+                        "ubuntu-2204:2023.07.2",
+                        "ubuntu-2204:2023.04.2",
+                        "ubuntu-2204:2023.04.1",
+                        "ubuntu-2204:2023.02.1",
+                        "ubuntu-2204:2022.10.2",
+                        "ubuntu-2204:2022.10.1",
+                        "ubuntu-2204:2022.07.2",
+                        "ubuntu-2204:2022.07.1",
+                        "ubuntu-2204:2022.04.2",
+                        "ubuntu-2204:2022.04.1",
+                        "ubuntu-2204:current",
+                        "ubuntu-2204:edge",
+                        "android:2023.11.1",
+                        "android:2023.10.1",
+                        "android:2023.09.1",
+                        "android:2023.08.1",
+                        "android:2023.07.1",
+                        "android:2023.06.1",
+                        "android:2023.05.1",
+                        "android:2023.04.1",
+                        "android:2023.03.1",
+                        "android:2023.02.1",
+                        "android:2022.12.1",
+                        "android:2022.09.1",
+                        "android:2022.08.1",
+                        "android:2022.07.1",
+                        "android:2022.06.2",
+                        "android:2022.06.1",
+                        "android:2022.04.1",
+                        "android:2022.03.1",
+                        "android:2022.01.1",
+                        "android:2021.12.1",
+                        "android:2021.10.1",
+                        "android:202102-01"
+                      ]
+                    },
+                    "docker_layer_caching": {
+                      "$ref": "#/definitions/dockerLayerCaching"
+                    }
+                  }
+                }
+              ]
+            },
+            "resource_class": {
+              "description": "Amount of CPU and RAM allocated for each job. View [available resource classes](https://circleci.com/docs/configuration-reference/#linuxvm-execution-environment)",
+              "type": "string",
+              "enum": [
+                "medium",
+                "large",
+                "xlarge",
+                "2xlarge",
+                "2xlarge+",
+                "arm.medium",
+                "arm.large",
+                "arm.xlarge",
+                "arm.2xlarge"
+              ]
+            }
+          }
+        },
+        {
+          "properties": {
+            "machine": {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["image"],
+              "properties": {
+                "image": {
+                  "description": "The VM image to use. View [available images](https://circleci.com/docs/configuration-reference/#available-linux-gpu-images). **Note:** This key is **not** supported on the installable CircleCI. For information about customizing machine executor images on CircleCI installed on your servers, see our [VM Service documentation](https://circleci.com/docs/vm-service).",
+                  "type": "string",
+                  "enum": ["linux-cuda-11:default", "linux-cuda-12:default"]
+                },
+                "docker_layer_caching": {
+                  "$ref": "#/definitions/dockerLayerCaching"
+                }
+              }
+            },
+            "resource_class": {
+              "description": "Amount of CPU and RAM allocated for each job. View [available resource classes](https://circleci.com/docs/configuration-reference/#gpu-execution-environment-linux)",
+              "type": "string",
+              "enum": ["gpu.nvidia.medium", "gpu.nvidia.large"]
+            }
+          }
+        },
+        {
+          "properties": {
+            "machine": {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["image"],
+              "properties": {
+                "image": {
+                  "description": "The VM image to use. View [available images](https://circleci.com/docs/configuration-reference/#available-windows-machine-images-cloud). **Note:** This key is **not** supported on the installable CircleCI. For information about customizing machine executor images on CircleCI installed on your servers, see our [VM Service documentation](https://circleci.com/docs/vm-service).",
+                  "type": "string",
+                  "enum": [
+                    "windows-server-2022-gui:2023.10.1",
+                    "windows-server-2022-gui:2023.09.1",
+                    "windows-server-2022-gui:2023.08.1",
+                    "windows-server-2022-gui:2023.07.1",
+                    "windows-server-2022-gui:2023.06.1",
+                    "windows-server-2022-gui:2023.05.1",
+                    "windows-server-2022-gui:2023.04.1",
+                    "windows-server-2022-gui:2023.03.1",
+                    "windows-server-2022-gui:2022.08.1",
+                    "windows-server-2022-gui:2022.07.1",
+                    "windows-server-2022-gui:2022.06.1",
+                    "windows-server-2022-gui:2022.04.1",
+                    "windows-server-2022-gui:current",
+                    "windows-server-2022-gui:edge",
+                    "windows-server-2019:2023.10.1",
+                    "windows-server-2019:2023.08.1",
+                    "windows-server-2019:2023.04.1",
+                    "windows-server-2019:2022.08.1",
+                    "windows-server-2019:current",
+                    "windows-server-2019:edge"
+                  ]
+                },
+                "docker_layer_caching": {
+                  "$ref": "#/definitions/dockerLayerCaching"
+                }
+              }
+            },
+            "resource_class": {
+              "description": "Amount of CPU and RAM allocated for each job. View [available resource classes](https://circleci.com/docs/configuration-reference/#windows-execution-environment)",
+              "type": "string",
+              "enum": [
+                "windows.medium",
+                "windows.large",
+                "windows.xlarge",
+                "windows.2xlarge"
+              ]
+            }
+          }
+        },
+        {
+          "properties": {
+            "machine": {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["image"],
+              "properties": {
+                "image": {
+                  "description": "The VM image to use. View [available images](https://circleci.com/docs/configuration-reference/#available-windows-gpu-image). **Note:** This key is **not** supported on the installable CircleCI. For information about customizing machine executor images on CircleCI installed on your servers, see our [VM Service documentation](https://circleci.com/docs/vm-service).",
+                  "type": "string",
+                  "enum": [
+                    "windows-server-2019-cuda:current",
+                    "windows-server-2019-cuda:edge"
+                  ]
+                },
+                "docker_layer_caching": {
+                  "$ref": "#/definitions/dockerLayerCaching"
+                }
+              }
+            },
+            "resource_class": {
+              "description": "Amount of CPU and RAM allocated for each job. View [available resource classes](https://circleci.com/docs/configuration-reference/#gpu-execution-environment-windows)",
+              "type": "string",
+              "enum": ["windows.gpu.nvidia.medium"]
+            }
+          }
+        }
+      ]
+    },
+    "macosExecutor": {
+      "description": "Options for the [macOS executor](https://circleci.com/docs/configuration-reference#macos)",
+      "type": "object",
+      "required": ["macos"],
+      "properties": {
+        "macos": {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["xcode"],
+          "properties": {
+            "xcode": {
+              "description": "The version of Xcode that is installed on the virtual machine, see the [Supported Xcode Versions section of the Testing iOS](https://circleci.com/docs/testing-ios#supported-xcode-versions) document for the complete list.",
+              "type": "string",
+              "enum": [
+                "15.2.0",
+                "15.1.0",
+                "15.0.0",
+                "14.3.1",
+                "14.2.0",
+                "14.1.0",
+                "14.0.1",
+                "13.4.1",
+                "12.5.1"
+              ]
+            }
+          }
+        },
+        "resource_class": {
+          "description": "Amount of CPU and RAM allocated for each job. View [available resource classes](https://circleci.com/docs/configuration-reference/#macos-execution-environment)",
+          "type": "string",
+          "enum": [
+            "macos.x86.medium.gen2",
+            "macos.m1.medium.gen1",
+            "macos.m1.large.gen1"
+          ]
+        }
+      }
+    },
+    "executorChoice": {
+      "type": "object",
+      "oneOf": [
+        {
+          "$ref": "#/definitions/dockerExecutor"
+        },
+        {
+          "$ref": "#/definitions/machineExecutor"
+        },
+        {
+          "$ref": "#/definitions/macosExecutor"
+        }
+      ]
+    },
+    "executors": {
+      "description": "Executors define the environment in which the steps of a job will be run, allowing you to reuse a single executor definition across multiple jobs.",
+      "type": "object",
+      "additionalProperties": {
+        "$ref": "#/definitions/executorChoice",
+        "type": "object",
+        "properties": {
+          "shell": {
+            "description": "Shell to use for execution command in all steps. Can be overridden by shell in each step (default: See [Default Shell Options](https://circleci.com/docs/configuration-reference#default-shell-options)",
+            "type": "string"
+          },
+          "working_directory": {
+            "description": "In which directory to run the steps.",
+            "type": "string"
+          },
+          "environment": {
+            "description": "A map of environment variable names and values.",
+            "type": "object",
+            "additionalProperties": {
+              "type": ["string", "number"]
+            }
+          }
+        }
+      }
+    },
+    "builtinSteps": {
+      "documentation": {
+        "run": {
+          "description": "https://circleci.com/docs/configuration-reference#run\n\nUsed for invoking all command-line programs, taking either a map of configuration values, or, when called in its short-form, a string that will be used as both the `command` and `name`. Run commands are executed using non-login shells by default, so you must explicitly source any dotfiles as part of the command."
+        },
+        "checkout": {
+          "description": "https://circleci.com/docs/configuration-reference#checkout\n\nSpecial step used to check out source code to the configured `path` (defaults to the `working_directory`). The reason this is a special step is because it is more of a helper function designed to make checking out code easy for you. If you require doing git over HTTPS you should not use this step as it configures git to checkout over ssh."
+        },
+        "setup_remote_docker": {
+          "description": "https://circleci.com/docs/configuration-reference#setup_remote_docker\n\nCreates a remote Docker environment configured to execute Docker commands."
+        },
+        "save_cache": {
+          "description": "https://circleci.com/docs/configuration-reference#save_cache\n\nGenerates and stores a cache of a file or directory of files such as dependencies or source code in our object storage. Later jobs can restore this cache using the `restore_cache` step."
+        },
+        "restore_cache": {
+          "description": "https://circleci.com/docs/configuration-reference#restore_cache\n\nRestores a previously saved cache based on a `key`. Cache needs to have been saved first for this key using the `save_cache` step."
+        },
+        "deploy": {
+          "description": "https://circleci.com/docs/configuration-reference#deploy\n\nSpecial step for deploying artifacts. `deploy` uses the same configuration map and semantics as run step. Jobs may have more than one deploy step. In general deploy step behaves just like run with two exceptions:\n* In a job with parallelism, the deploy step will only be executed by node #0 and only if all nodes succeed. Nodes other than #0 will skip this step.\n* In a job that runs with SSH, the deploy step will not execute"
+        },
+        "store_artifacts": {
+          "description": "https://circleci.com/docs/configuration-reference#store_artifacts\n\nStep to store artifacts (for example logs, binaries, etc) to be available in the web app or through the API."
+        },
+        "store_test_results": {
+          "description": "https://circleci.com/docs/configuration-reference#storetestresults\n\nSpecial step used to upload test results so they display in builds' Test Summary section and can be used for timing analysis. To also see test result as build artifacts, please use the `store_artifacts` step."
+        },
+        "persist_to_workspace": {
+          "description": "https://circleci.com/docs/configuration-reference#persist_to_workspace\n\nSpecial step used to persist a temporary file to be used by another job in the workflow"
+        },
+        "attach_workspace": {
+          "description": "https://circleci.com/docs/configuration-reference#attach_workspace\n\nSpecial step used to attach the workflow's workspace to the current container. The full contents of the workspace are downloaded and copied into the directory the workspace is being attached at."
+        },
+        "add_ssh_keys": {
+          "description": "https://circleci.com/docs/configuration-reference#add_ssh_keys\n\nSpecial step that adds SSH keys from a project's settings to a container. Also configures SSH to use these keys."
+        },
+        "when": {
+          "description": "https://circleci.com/docs/configuration-reference#the-when-step-requires-version-21 \n\nConditional step to run on custom conditions (determined at config-compile time) that are checked before a workflow runs"
+        },
+        "unless": {
+          "description": "https://circleci.com/docs/configuration-reference#the-when-step-requires-version-21 \n\nConditional step to run when custom conditions aren't met (determined at config-compile time) that are checked before a workflow runs"
+        }
+      },
+      "configuration": {
+        "run": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/run"
+            }
+          ],
+          "oneOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["command"],
+              "properties": {
+                "command": {
+                  "description": "Command to run via the shell",
+                  "type": "string"
+                },
+                "name": {
+                  "description": "Title of the step to be shown in the CircleCI UI (default: full `command`)",
+                  "type": "string"
+                },
+                "shell": {
+                  "description": "Shell to use for execution command",
+                  "type": "string"
+                },
+                "environment": {
+                  "description": "Additional environmental variables, locally scoped to command",
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": ["string", "number"]
+                  }
+                },
+                "background": {
+                  "description": "Whether or not this step should run in the background (default: false)",
+                  "default": false,
+                  "type": "boolean"
+                },
+                "working_directory": {
+                  "description": "In which directory to run this step (default: `working_directory` of the job",
+                  "type": "string"
+                },
+                "no_output_timeout": {
+                  "description": "Elapsed time the command can run without output. The string is a decimal with unit suffix, such as \"20m\", \"1.25h\", \"5s\" (default: 10 minutes)",
+                  "type": "string",
+                  "pattern": "\\d+(\\.\\d+)?[mhs]",
+                  "default": "10m"
+                },
+                "when": {
+                  "description": "Specify when to enable or disable the step. Takes the following values: `always`, `on_success`, `on_fail` (default: `on_success`)",
+                  "enum": ["always", "on_success", "on_fail"]
+                }
+              }
+            }
+          ]
+        },
+        "checkout": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/checkout"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "path": {
+              "description": "Checkout directory (default: job's `working_directory`)",
+              "type": "string"
+            }
+          }
+        },
+        "setup_remote_docker": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/setup_remote_docker"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "docker_layer_caching": {
+              "description": "When `docker_layer_caching` is set to `true`, CircleCI will try to reuse Docker Images (layers) built during a previous job or workflow (Paid feature)",
+              "type": "boolean",
+              "default": false
+            },
+            "version": {
+              "description": "If your build requires a specific docker image, you can set it as an image attribute",
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "20.10.24",
+                    "20.10.23",
+                    "20.10.18",
+                    "20.10.17",
+                    "20.10.14",
+                    "20.10.12",
+                    "20.10.11",
+                    "20.10.7",
+                    "20.10.6",
+                    "20.10.2",
+                    "19.03.13"
+                  ]
+                },
+                {
+                  "type": "string"
+                }
+              ]
+            }
+          }
+        },
+        "save_cache": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/save_cache"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["paths", "key"],
+          "properties": {
+            "paths": {
+              "description": "List of directories which should be added to the cache",
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "key": {
+              "description": "Unique identifier for this cache",
+              "type": "string"
+            },
+            "name": {
+              "type": "string",
+              "description": "Title of the step to be shown in the CircleCI UI (default: 'Saving Cache')"
+            },
+            "when": {
+              "description": "Specify when to enable or disable the step. Takes the following values: `always`, `on_success`, `on_fail` (default: `on_success`)",
+              "enum": ["always", "on_success", "on_fail"]
+            }
+          }
+        },
+        "restore_cache": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/restore_cache"
+            }
+          ],
+          "oneOf": [
+            {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["key"],
+              "properties": {
+                "key": {
+                  "type": "string",
+                  "description": "Single cache key to restore"
+                },
+                "name": {
+                  "type": "string",
+                  "description": "Title of the step to be shown in the CircleCI UI (default: 'Restoring Cache')"
+                }
+              }
+            },
+            {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["keys"],
+              "properties": {
+                "name": {
+                  "type": "string",
+                  "description": "Title of the step to be shown in the CircleCI UI (default: 'Restoring Cache')"
+                },
+                "keys": {
+                  "description": "List of cache keys to lookup for a cache to restore. Only first existing key will be restored.",
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                }
+              }
+            }
+          ]
+        },
+        "deploy": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/deploy"
+            },
+            {
+              "$ref": "#/definitions/builtinSteps/configuration/run"
+            }
+          ]
+        },
+        "store_artifacts": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/store_artifacts"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["path"],
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "path": {
+              "description": "Directory in the primary container to save as job artifacts",
+              "type": "string"
+            },
+            "destination": {
+              "description": "Prefix added to the artifact paths in the artifacts API (default: the directory of the file specified in `path`)",
+              "type": "string"
+            }
+          }
+        },
+        "store_test_results": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/store_test_results"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["path"],
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "path": {
+              "description": "Path (absolute, or relative to your `working_directory`) to directory containing subdirectories of JUnit XML or Cucumber JSON test metadata files",
+              "type": "string"
+            }
+          }
+        },
+        "persist_to_workspace": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/persist_to_workspace"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["root", "paths"],
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "root": {
+              "description": "Either an absolute path or a path relative to `working_directory`",
+              "type": "string"
+            },
+            "paths": {
+              "description": "Glob identifying file(s), or a non-glob path to a directory to add to the shared workspace. Interpreted as relative to the workspace root. Must not be the workspace root itself.",
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          }
+        },
+        "attach_workspace": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/attach_workspace"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["at"],
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "at": {
+              "description": "Directory to attach the workspace to",
+              "type": "string"
+            }
+          }
+        },
+        "add_ssh_keys": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/add_ssh_keys"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "name": {
+              "description": "Title of the step to be shown in the CircleCI UI",
+              "type": "string"
+            },
+            "fingerprints": {
+              "description": "Directory to attach the workspace to",
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          }
+        },
+        "when": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/when"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "condition": {
+              "$ref": "#/definitions/logical"
+            },
+            "steps": {
+              "description": "A list of steps to be performed",
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/step"
+              }
+            }
+          },
+          "required": ["condition", "steps"]
+        },
+        "unless": {
+          "allOf": [
+            {
+              "$ref": "#/definitions/builtinSteps/documentation/unless"
+            }
+          ],
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "condition": {
+              "$ref": "#/definitions/logical"
+            },
+            "steps": {
+              "description": "A list of steps to be performed",
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/step"
+              }
+            }
+          },
+          "required": ["condition", "steps"]
+        }
+      }
+    },
+    "step": {
+      "anyOf": [
+        {
+          "$ref": "#/definitions/builtinSteps/documentation/checkout",
+          "enum": ["checkout"]
+        },
+        {
+          "$ref": "#/definitions/builtinSteps/documentation/setup_remote_docker",
+          "enum": ["setup_remote_docker"]
+        },
+        {
+          "$ref": "#/definitions/builtinSteps/documentation/add_ssh_keys",
+          "enum": ["add_ssh_keys"]
+        },
+        {
+          "description": "https://circleci.com/docs/reusing-config#invoking-reusable-commands\n\nA custom command defined via the top level commands key",
+          "type": "string",
+          "pattern": "^[a-z][a-z0-9_-]+$"
+        },
+        {
+          "description": "https://circleci.com/docs/using-orbs#commands\n\nA custom command defined via an orb.",
+          "type": "string",
+          "pattern": "^[a-z][a-z0-9_-]+/[a-z][a-z0-9_-]+$"
+        },
+        {
+          "type": "object",
+          "minProperties": 1,
+          "maxProperties": 1,
+          "properties": {
+            "run": {
+              "$ref": "#/definitions/builtinSteps/configuration/run"
+            },
+            "checkout": {
+              "$ref": "#/definitions/builtinSteps/configuration/checkout"
+            },
+            "setup_remote_docker": {
+              "$ref": "#/definitions/builtinSteps/configuration/setup_remote_docker"
+            },
+            "save_cache": {
+              "$ref": "#/definitions/builtinSteps/configuration/save_cache"
+            },
+            "restore_cache": {
+              "$ref": "#/definitions/builtinSteps/configuration/restore_cache"
+            },
+            "deploy": {
+              "$ref": "#/definitions/builtinSteps/configuration/deploy"
+            },
+            "store_artifacts": {
+              "$ref": "#/definitions/builtinSteps/configuration/store_artifacts"
+            },
+            "store_test_results": {
+              "$ref": "#/definitions/builtinSteps/configuration/store_test_results"
+            },
+            "persist_to_workspace": {
+              "$ref": "#/definitions/builtinSteps/configuration/persist_to_workspace"
+            },
+            "attach_workspace": {
+              "$ref": "#/definitions/builtinSteps/configuration/attach_workspace"
+            },
+            "add_ssh_keys": {
+              "$ref": "#/definitions/builtinSteps/configuration/add_ssh_keys"
+            },
+            "when": {
+              "$ref": "#/definitions/builtinSteps/configuration/when"
+            },
+            "unless": {
+              "$ref": "#/definitions/builtinSteps/configuration/unless"
+            }
+          },
+          "patternProperties": {
+            "^[a-z][a-z0-9_-]+$": {
+              "description": "https://circleci.com/docs/reusing-config#invoking-reusable-commands\n\nA custom command defined via the top level commands key"
+            },
+            "^[a-z][a-z0-9_-]+/[a-z][a-z0-9_-]+$": {
+              "description": "https://circleci.com/docs/using-orbs#commands\n\nA custom command defined via an orb."
+            }
+          }
+        }
+      ]
+    },
+    "jobRef": {
+      "description": "Run a job as part of this workflow",
+      "type": "object",
+      "additionalProperties": true,
+      "properties": {
+        "requires": {
+          "description": "Jobs are run in parallel by default, so you must explicitly require any dependencies by their job name.",
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        },
+        "name": {
+          "description": "The name key can be used to ensure build numbers are not appended when invoking the same job multiple times (e.g., sayhello-1, sayhello-2). The name assigned needs to be unique, otherwise numbers will still be appended to the job name",
+          "type": "string"
+        },
+        "context": {
+          "description": "Either a single context name, or a list of contexts. The default name is `org-global`",
+          "oneOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          ],
+          "default": "org-global"
+        },
+        "type": {
+          "description": "A job may have a `type` of `approval` indicating it must be manually approved before downstream jobs may proceed.",
+          "enum": ["approval"]
+        },
+        "filters": {
+          "description": "A map defining rules for execution on specific branches",
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "branches": {
+              "$ref": "#/definitions/filter"
+            },
+            "tags": {
+              "$ref": "#/definitions/filter"
+            }
+          }
+        },
+        "matrix": {
+          "description": "https://circleci.com/docs/configuration-reference#matrix-requires-version-21\n\nThe matrix stanza allows you to run a parameterized job multiple times with different arguments.",
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["parameters"],
+          "properties": {
+            "parameters": {
+              "description": "A map of parameter names to every value the job should be called with",
+              "type": "object",
+              "additionalProperties": {
+                "type": "array"
+              }
+            },
+            "exclude": {
+              "description": "A list of argument maps that should be excluded from the matrix",
+              "type": "array",
+              "items": {
+                "type": "object"
+              }
+            },
+            "alias": {
+              "description": "An alias for the matrix, usable from another job's requires stanza. Defaults to the name of the job being executed",
+              "type": "string"
+            }
+          }
+        }
+      }
+    },
+    "jobs": {
+      "description": "Jobs are collections of steps. All of the steps in the job are executed in a single unit, either within a fresh container or VM.",
+      "type": "object",
+      "additionalProperties": {
+        "type": "object",
+        "oneOf": [
+          {
+            "$ref": "#/definitions/executorChoice"
+          },
+          {
+            "type": "object",
+            "required": ["executor"],
+            "properties": {
+              "executor": {
+                "description": "The name of the executor to use (defined via the top level executors map).",
+                "type": "string"
+              }
+            }
+          },
+          {
+            "type": "object",
+            "required": ["executor"],
+            "properties": {
+              "executor": {
+                "description": "Executor stanza to use for the job",
+                "type": "object",
+                "required": ["name"],
+                "properties": {
+                  "name": {
+                    "description": "The name of the executor to use (defined via the top level executors map).",
+                    "type": "string"
+                  }
+                }
+              }
+            }
+          }
+        ],
+        "required": ["steps"],
+        "properties": {
+          "shell": {
+            "description": "Shell to use for execution command in all steps. Can be overridden by shell in each step",
+            "type": "string"
+          },
+          "steps": {
+            "description": "A list of steps to be performed",
+            "type": "array",
+            "items": {
+              "$ref": "#/definitions/step"
+            }
+          },
+          "working_directory": {
+            "description": "In which directory to run the steps. (default: `~/project`. `project` is a literal string, not the name of the project.) You can also refer the directory with `$CIRCLE_WORKING_DIRECTORY` environment variable.",
+            "type": "string",
+            "default": "~/project"
+          },
+          "parallelism": {
+            "description": "Number of parallel instances of this job to run (default: 1)",
+            "default": 1,
+            "oneOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "string",
+                "pattern": "^<<.+\\..+>>$"
+              }
+            ]
+          },
+          "environment": {
+            "description": "A map of environment variable names and variables (NOTE: these will override any environment variables you set in the CircleCI web interface).",
+            "type": "object",
+            "additionalProperties": {
+              "type": ["string", "number"]
+            }
+          },
+          "branches": {
+            "description": "A map defining rules for whitelisting/blacklisting execution of specific branches for a single job that is **not** in a workflow (default: all whitelisted). See Workflows for configuring branch execution for jobs in a workflow.",
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            }
+          }
+        }
+      }
+    }
+  },
+  "properties": {
+    "version": {
+      "description": "The version field is intended to be used in order to issue warnings for deprecation or breaking changes.",
+      "default": 2.1,
+      "enum": [2, 2.1]
+    },
+    "orbs": {
+      "$ref": "#/definitions/orbs"
+    },
+    "commands": {
+      "$ref": "#/definitions/commands"
+    },
+    "executors": {
+      "$ref": "#/definitions/executors"
+    },
+    "jobs": {
+      "$ref": "#/definitions/jobs"
+    },
+    "workflows": {
+      "description": "Used for orchestrating all jobs. Each workflow consists of the workflow name as a key and a map as a value",
+      "type": "object",
+      "properties": {
+        "version": {
+          "description": "The Workflows `version` field is used to issue warnings for deprecation or breaking changes during v2 Beta. It is deprecated as of CircleCI v2.1",
+          "enum": [2]
+        }
+      },
+      "additionalProperties": {
+        "type": "object",
+        "additionalProperties": false,
+        "properties": {
+          "triggers": {
+            "description": "Specifies which triggers will cause this workflow to be executed. Default behavior is to trigger the workflow when pushing to a branch.",
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": false,
+              "properties": {
+                "schedule": {
+                  "description": "A workflow may have a schedule indicating it runs at a certain time, for example a nightly build that runs every day at 12am UTC:",
+                  "type": "object",
+                  "properties": {
+                    "cron": {
+                      "description": "See the [crontab man page](http://pubs.opengroup.org/onlinepubs/7908799/xcu/crontab.html)",
+                      "type": "string"
+                    },
+                    "filters": {
+                      "description": "A map defining rules for execution on specific branches",
+                      "type": "object",
+                      "additionalProperties": false,
+                      "properties": {
+                        "branches": {
+                          "$ref": "#/definitions/filter"
+                        }
+                      }
+                    }
+                  }
+                }
+              }
+            }
+          },
+          "jobs": {
+            "type": "array",
+            "items": {
+              "oneOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "$ref": "#/definitions/jobRef",
+                    "type": "object"
+                  }
+                }
+              ]
+            }
+          },
+          "when": {
+            "$ref": "#/definitions/logical",
+            "description": "Specify when to run the workflow."
+          },
+          "unless": {
+            "$ref": "#/definitions/logical",
+            "description": "Specify when *not* to run the workflow."
+          }
+        }
+      }
+    }
+  },
+  "required": ["version"],
+  "title": "JSON schema for CircleCI configuration files",
+  "type": "object"
+}
diff --git a/ci/schemas/codecov.json b/ci/schemas/codecov.json
new file mode 100644
index 000000000000..98decea44415
--- /dev/null
+++ b/ci/schemas/codecov.json
@@ -0,0 +1,620 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/codecov",
+  "definitions": {
+    "default": {
+      "$comment": "See https://docs.codecov.com/docs/commit-status#basic-configuration",
+      "properties": {
+        "target": {
+          "type": ["string", "number"],
+          "pattern": "^(([0-9]+\\.?[0-9]*|\\.[0-9]+)%?|auto)$",
+          "default": "auto"
+        },
+        "threshold": {
+          "type": "string",
+          "default": "0%",
+          "pattern": "^([0-9]+\\.?[0-9]*|\\.[0-9]+)%?$"
+        },
+        "base": {
+          "type": "string",
+          "default": "auto",
+          "deprecated": true
+        },
+        "flags": {
+          "type": "array",
+          "default": []
+        },
+        "paths": {
+          "type": ["array", "string"],
+          "default": []
+        },
+        "branches": {
+          "type": "array",
+          "default": []
+        },
+        "if_not_found": {
+          "type": "string",
+          "enum": ["failure", "success"],
+          "default": "success"
+        },
+        "informational": {
+          "type": "boolean",
+          "default": false
+        },
+        "only_pulls": {
+          "type": "boolean",
+          "default": false
+        },
+        "if_ci_failed": {
+          "type": "string",
+          "enum": ["error", "success"]
+        },
+        "flag_coverage_not_uploaded_behavior": {
+          "type": "string",
+          "enum": ["include", "exclude", "pass"]
+        }
+      }
+    },
+    "flag": {
+      "type": "object",
+      "properties": {
+        "joined": {
+          "type": "boolean"
+        },
+        "required": {
+          "type": "boolean"
+        },
+        "ignore": {
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        },
+        "paths": {
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        },
+        "assume": {
+          "type": ["boolean", "array"],
+          "items": {
+            "type": "string"
+          }
+        }
+      }
+    },
+    "layout": {
+      "anyOf": [
+        {},
+        {
+          "enum": [
+            "header",
+            "footer",
+            "diff",
+            "file",
+            "files",
+            "flag",
+            "flags",
+            "reach",
+            "sunburst",
+            "uncovered"
+          ]
+        }
+      ]
+    },
+    "notification": {
+      "type": "object",
+      "properties": {
+        "url": {
+          "type": "string"
+        },
+        "branches": {
+          "type": "string"
+        },
+        "threshold": {
+          "type": "string"
+        },
+        "message": {
+          "type": "string"
+        },
+        "flags": {
+          "type": "string"
+        },
+        "base": {
+          "enum": ["parent", "pr", "auto"]
+        },
+        "only_pulls": {
+          "type": "boolean"
+        },
+        "paths": {
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        }
+      }
+    }
+  },
+  "description": "Schema for codecov.yml files.",
+  "properties": {
+    "codecov": {
+      "description": "See https://docs.codecov.io/docs/codecov-yaml for details",
+      "type": "object",
+      "properties": {
+        "url": {
+          "type": "string"
+        },
+        "slug": {
+          "type": "string"
+        },
+        "bot": {
+          "description": "Team bot. See https://docs.codecov.io/docs/team-bot for details",
+          "type": "string"
+        },
+        "branch": {
+          "type": "string"
+        },
+        "ci": {
+          "description": "Detecting CI services. See https://docs.codecov.io/docs/detecting-ci-services for details.",
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        },
+        "assume_all_flags": {
+          "type": "boolean"
+        },
+        "strict_yaml_branch": {
+          "type": "string"
+        },
+        "max_report_age": {
+          "type": ["string", "integer", "boolean"]
+        },
+        "disable_default_path_fixes": {
+          "type": "boolean"
+        },
+        "require_ci_to_pass": {
+          "type": "boolean"
+        },
+        "allow_pseudo_compare": {
+          "type": "boolean"
+        },
+        "archive": {
+          "type": "object",
+          "properties": {
+            "uploads": {
+              "type": "boolean"
+            }
+          }
+        },
+        "notify": {
+          "type": "object",
+          "properties": {
+            "after_n_builds": {
+              "type": "integer"
+            },
+            "countdown": {
+              "type": "integer"
+            },
+            "delay": {
+              "type": "integer"
+            },
+            "wait_for_ci": {
+              "type": "boolean"
+            }
+          }
+        },
+        "ui": {
+          "type": "object",
+          "properties": {
+            "hide_density": {
+              "type": ["boolean", "array"],
+              "items": {
+                "type": "string"
+              }
+            },
+            "hide_complexity": {
+              "type": ["boolean", "array"],
+              "items": {
+                "type": "string"
+              }
+            },
+            "hide_contextual": {
+              "type": "boolean"
+            },
+            "hide_sunburst": {
+              "type": "boolean"
+            },
+            "hide_search": {
+              "type": "boolean"
+            }
+          }
+        }
+      }
+    },
+    "coverage": {
+      "description": "Coverage configuration. See https://docs.codecov.io/docs/coverage-configuration for details.",
+      "type": "object",
+      "properties": {
+        "precision": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 5
+        },
+        "round": {
+          "enum": ["down", "up", "nearest"]
+        },
+        "range": {
+          "type": "string"
+        },
+        "notify": {
+          "description": "Notifications. See https://docs.codecov.io/docs/notifications for details.",
+          "type": "object",
+          "properties": {
+            "irc": {
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                "channel": {
+                  "type": "string"
+                },
+                "password": {
+                  "type": "string"
+                },
+                "nickserv_password": {
+                  "type": "string"
+                },
+                "notice": {
+                  "type": "boolean"
+                }
+              }
+            },
+            "slack": {
+              "description": "Slack. See https://docs.codecov.io/docs/notifications#section-slack for details.",
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                "attachments": {
+                  "$ref": "#/definitions/layout"
+                }
+              }
+            },
+            "gitter": {
+              "description": "Gitter. See https://docs.codecov.io/docs/notifications#section-gitter for details.",
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                }
+              }
+            },
+            "hipchat": {
+              "description": "Hipchat. See https://docs.codecov.io/docs/notifications#section-hipchat for details.",
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                "card": {
+                  "type": "boolean"
+                },
+                "notify": {
+                  "type": "boolean"
+                }
+              }
+            },
+            "webhook": {
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                }
+              }
+            },
+            "email": {
+              "type": "object",
+              "properties": {
+                "url": {
+                  "type": "string"
+                },
+                "branches": {
+                  "type": "string"
+                },
+                "threshold": {
+                  "type": "string"
+                },
+                "message": {
+                  "type": "string"
+                },
+                "flags": {
+                  "type": "string"
+                },
+                "base": {
+                  "enum": ["parent", "pr", "auto"]
+                },
+                "only_pulls": {
+                  "type": "boolean"
+                },
+                "paths": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                "layout": {
+                  "$ref": "#/definitions/layout"
+                },
+                "+to": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                }
+              }
+            }
+          }
+        },
+        "status": {
+          "description": "Commit status. See https://docs.codecov.io/docs/commit-status for details.",
+          "type": ["boolean", "object"],
+          "additionalProperties": false,
+          "properties": {
+            "default_rules": {
+              "type": "object"
+            },
+            "project": {
+              "properties": {
+                "default": {
+                  "$ref": "#/definitions/default",
+                  "type": ["object", "boolean"]
+                }
+              },
+              "additionalProperties": {
+                "$ref": "#/definitions/default",
+                "type": ["object", "boolean"]
+              }
+            },
+            "patch": {
+              "anyOf": [
+                {
+                  "$ref": "#/definitions/default",
+                  "type": "object"
+                },
+                {
+                  "type": "string",
+                  "enum": ["off"]
+                },
+                {
+                  "type": "boolean"
+                }
+              ]
+            },
+            "changes": {
+              "$ref": "#/definitions/default",
+              "type": ["object", "boolean"]
+            }
+          }
+        }
+      }
+    },
+    "ignore": {
+      "description": "Ignoring paths. see https://docs.codecov.io/docs/ignoring-paths for details.",
+      "type": "array",
+      "items": {
+        "type": "string"
+      }
+    },
+    "fixes": {
+      "description": "Fixing paths. See https://docs.codecov.io/docs/fixing-paths for details.",
+      "type": "array",
+      "items": {
+        "type": "string"
+      }
+    },
+    "flags": {
+      "description": "Flags. See https://docs.codecov.io/docs/flags for details.",
+      "oneOf": [
+        {
+          "type": "array",
+          "items": {
+            "$ref": "#/definitions/flag"
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": {
+            "$ref": "#/definitions/flag"
+          }
+        }
+      ]
+    },
+    "comment": {
+      "description": "Pull request comments. See https://docs.codecov.io/docs/pull-request-comments for details.",
+      "oneOf": [
+        {
+          "type": "object",
+          "properties": {
+            "layout": {
+              "$ref": "#/definitions/layout"
+            },
+            "require_changes": {
+              "type": "boolean"
+            },
+            "require_base": {
+              "type": "boolean"
+            },
+            "require_head": {
+              "type": "boolean"
+            },
+            "branches": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "behavior": {
+              "enum": ["default", "once", "new", "spammy"]
+            },
+            "flags": {
+              "type": "array",
+              "items": {
+                "$ref": "#/definitions/flag"
+              }
+            },
+            "paths": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            }
+          }
+        },
+        {
+          "const": false
+        }
+      ]
+    },
+    "github_checks": {
+      "description": "GitHub Checks. See https://docs.codecov.com/docs/github-checks for details.",
+      "anyOf": [
+        {
+          "type": "object",
+          "properties": {
+            "annotations": {
+              "type": "boolean"
+            }
+          }
+        },
+        { "type": "boolean" },
+        { "type": "string", "enum": ["off"] }
+      ]
+    }
+  },
+  "title": "JSON schema for Codecov configuration files",
+  "type": "object"
+}
diff --git a/ci/schemas/conda-environment.json b/ci/schemas/conda-environment.json
new file mode 100644
index 000000000000..458676942a44
--- /dev/null
+++ b/ci/schemas/conda-environment.json
@@ -0,0 +1,53 @@
+{
+    "title": "conda environment file",
+    "description": "Support for conda's enviroment.yml files (e.g. `conda env export > environment.yml`)",
+    "id": "https://raw.githubusercontent.com/Microsoft/vscode-python/main/schemas/conda-environment.json",
+    "$schema": "http://json-schema.org/draft-04/schema#",
+    "definitions": {
+        "channel": {
+            "type": "string"
+        },
+        "package": {
+            "type": "string"
+        },
+        "path": {
+            "type": "string"
+        }
+    },
+    "properties": {
+        "name": {
+            "type": "string"
+        },
+        "channels": {
+            "type": "array",
+            "items": {
+                "$ref": "#/definitions/channel"
+            }
+        },
+        "dependencies": {
+            "type": "array",
+            "items": {
+                "anyOf": [
+                    {
+                        "$ref": "#/definitions/package"
+                    },
+                    {
+                        "type": "object",
+                        "properties": {
+                            "pip": {
+                                "type": "array",
+                                "items": {
+                                    "$ref": "#/definitions/package"
+                                }
+                            }
+                        },
+                        "required": ["pip"]
+                    }
+                ]
+            }
+        },
+        "prefix": {
+            "$ref": "#/definitions/path"
+        }
+    }
+}
diff --git a/ci/schemas/github-funding.json b/ci/schemas/github-funding.json
new file mode 100644
index 000000000000..d146d692c483
--- /dev/null
+++ b/ci/schemas/github-funding.json
@@ -0,0 +1,113 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/github-funding.json",
+  "$comment": "https://docs.github.com/en/github/administering-a-repository/displaying-a-sponsor-button-in-your-repository",
+  "additionalProperties": false,
+  "definitions": {
+    "github_username": {
+      "type": "string",
+      "maxLength": 39,
+      "pattern": "^[a-zA-Z0-9](-?[a-zA-Z0-9])*$",
+      "examples": ["SampleUserName"]
+    },
+    "nullable_string": {
+      "type": ["string", "null"]
+    }
+  },
+  "description": "You can add a sponsor button in your repository to increase the visibility of funding options for your open source project.",
+  "properties": {
+    "community_bridge": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "CommunityBridge",
+      "description": "Project name on CommunityBridge.",
+      "minLength": 1
+    },
+    "github": {
+      "title": "GitHub Sponsors",
+      "description": "Username or usernames on GitHub.",
+      "oneOf": [
+        {
+          "$ref": "#/definitions/github_username"
+        },
+        {
+          "type": "array",
+          "minItems": 1,
+          "uniqueItems": true,
+          "items": {
+            "$ref": "#/definitions/github_username"
+          }
+        }
+      ]
+    },
+    "issuehunt": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "IssueHunt",
+      "description": "Username on IssueHunt.",
+      "minLength": 1
+    },
+    "ko_fi": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Ko-fi",
+      "description": "Username on Ko-fi.",
+      "minLength": 1
+    },
+    "liberapay": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Liberapay",
+      "description": "Username on Liberapay.",
+      "minLength": 1
+    },
+    "open_collective": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Open Collective",
+      "description": "Username on Open Collective.",
+      "minLength": 1
+    },
+    "otechie": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Otechie",
+      "description": "Username on Otechie.",
+      "minLength": 1
+    },
+    "patreon": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Patreon",
+      "description": "Username on Pateron.",
+      "minLength": 1,
+      "maxLength": 100
+    },
+    "tidelift": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "Tidelift",
+      "description": "Platform and package on Tidelift.",
+      "pattern": "^(npm|pypi|rubygems|maven|packagist|nuget)/.+$"
+    },
+    "lfx_crowdfunding": {
+      "$ref": "#/definitions/nullable_string",
+      "title": "LFX Crowdfunding",
+      "description": "Project name on LFX Crowdfunding.",
+      "minLength": 1
+    },
+    "polar": {
+      "$ref": "#/definitions/github_username",
+      "title": "Polar",
+      "description": "Username on Polar.",
+      "minLength": 1
+    },
+    "custom": {
+      "title": "Custom URL",
+      "description": "Link or links where funding is accepted on external locations.",
+      "type": ["string", "array", "null"],
+      "format": "uri-reference",
+      "items": {
+        "title": "Link",
+        "description": "Link to an external location.",
+        "type": "string",
+        "format": "uri-reference"
+      },
+      "uniqueItems": true
+    }
+  },
+  "title": "GitHub Funding",
+  "type": "object"
+}
diff --git a/ci/schemas/github-issue-config.json b/ci/schemas/github-issue-config.json
new file mode 100644
index 000000000000..b46556bb04a5
--- /dev/null
+++ b/ci/schemas/github-issue-config.json
@@ -0,0 +1,45 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/github-issue-config.json",
+  "$comment": "https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+  "properties": {
+    "blank_issues_enabled": {
+      "description": "Specify whether allow blank issue creation\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+      "type": "boolean"
+    },
+    "contact_links": {
+      "title": "contact links",
+      "description": "Contact links\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+      "type": "array",
+      "minItems": 1,
+      "items": {
+        "type": "object",
+        "required": ["name", "url", "about"],
+        "properties": {
+          "name": {
+            "description": "A link title\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+            "type": "string",
+            "minLength": 1,
+            "examples": ["Sample name"]
+          },
+          "url": {
+            "description": "A link URL\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+            "type": "string",
+            "pattern": "^https?://",
+            "examples": ["https://sample/url"]
+          },
+          "about": {
+            "description": "A link description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/configuring-issue-templates-for-your-repository#configuring-the-template-chooser",
+            "type": "string",
+            "minLength": 1,
+            "examples": ["Sample description"]
+          }
+        },
+        "additionalProperties": false
+      }
+    }
+  },
+  "additionalProperties": false,
+  "title": "GitHub issue template chooser config file schema",
+  "type": "object"
+}
diff --git a/ci/schemas/github-issue-forms.json b/ci/schemas/github-issue-forms.json
new file mode 100644
index 000000000000..c928818dfdd1
--- /dev/null
+++ b/ci/schemas/github-issue-forms.json
@@ -0,0 +1,1295 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/github-issue-forms.json",
+  "$comment": "https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms",
+  "additionalProperties": false,
+  "definitions": {
+    "type": {
+      "description": "A form item type\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#keys",
+      "type": "string",
+      "enum": ["checkboxes", "dropdown", "input", "markdown", "textarea"]
+    },
+    "id": {
+      "type": "string",
+      "pattern": "^[a-zA-Z0-9_-]+$",
+      "examples": ["SampleId"]
+    },
+    "validations": {
+      "title": "validation options",
+      "type": "object",
+      "properties": {
+        "required": {
+          "description": "Specify whether require a form item",
+          "type": "boolean",
+          "default": false
+        }
+      },
+      "additionalProperties": false
+    },
+    "assignee": {
+      "type": "string",
+      "maxLength": 39,
+      "pattern": "^[a-zA-Z0-9](-?[a-zA-Z0-9])*$",
+      "examples": ["SampleAssignee"]
+    },
+    "label": {
+      "type": "string",
+      "minLength": 1,
+      "examples": ["Sample label"]
+    },
+    "description": {
+      "type": "string",
+      "default": "",
+      "examples": ["Sample description"]
+    },
+    "placeholder": {
+      "type": "string",
+      "default": "",
+      "examples": ["Sample placeholder"]
+    },
+    "value": {
+      "type": "string",
+      "minLength": 1,
+      "examples": ["Sample value"]
+    },
+    "form_item": {
+      "title": "form item",
+      "description": "A form item\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#about-githubs-form-schema",
+      "type": "object",
+      "required": ["type"],
+      "properties": {
+        "type": {
+          "$ref": "#/definitions/type"
+        }
+      },
+      "allOf": [
+        {
+          "if": {
+            "properties": {
+              "type": {
+                "const": "markdown"
+              }
+            }
+          },
+          "then": {
+            "$comment": "For `additionalProperties` to work `type` must also be present here.",
+            "title": "markdown",
+            "description": "Markdown\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#markdown",
+            "type": "object",
+            "required": ["type", "attributes"],
+            "properties": {
+              "type": {
+                "$ref": "#/definitions/type"
+              },
+              "attributes": {
+                "title": "markdown attributes",
+                "description": "Markdown attributes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes",
+                "type": "object",
+                "required": ["value"],
+                "properties": {
+                  "value": {
+                    "description": "A markdown code\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes",
+                    "type": "string",
+                    "minLength": 1,
+                    "examples": ["Sample code"]
+                  }
+                },
+                "additionalProperties": false
+              }
+            },
+            "additionalProperties": false
+          }
+        },
+        {
+          "if": {
+            "properties": {
+              "type": {
+                "const": "textarea"
+              }
+            }
+          },
+          "then": {
+            "$comment": "For `additionalProperties` to work `type` must also be present here.",
+            "title": "textarea",
+            "description": "Textarea\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#textarea",
+            "type": "object",
+            "required": ["type", "attributes"],
+            "properties": {
+              "type": {
+                "$ref": "#/definitions/type"
+              },
+              "id": {
+                "$ref": "#/definitions/id",
+                "description": "A textarea id\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#keys"
+              },
+              "attributes": {
+                "title": "textarea attributes",
+                "description": "Textarea attributes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1",
+                "type": "object",
+                "required": ["label"],
+                "properties": {
+                  "label": {
+                    "$ref": "#/definitions/label",
+                    "description": "A short textarea description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1"
+                  },
+                  "description": {
+                    "$ref": "#/definitions/description",
+                    "description": "A long textarea description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1"
+                  },
+                  "placeholder": {
+                    "$ref": "#/definitions/placeholder",
+                    "description": "A textarea placeholder\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1"
+                  },
+                  "value": {
+                    "$ref": "#/definitions/value",
+                    "description": "A textarea value\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1"
+                  },
+                  "render": {
+                    "description": "A textarea syntax highlighting mode\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-1",
+                    "type": "string",
+                    "enum": [
+                      "1C Enterprise",
+                      "4D",
+                      "ABAP CDS",
+                      "ABAP",
+                      "ABNF",
+                      "AFDKO",
+                      "AGS Script",
+                      "AIDL",
+                      "AL",
+                      "AMPL",
+                      "ANTLR",
+                      "API Blueprint",
+                      "APL",
+                      "ASL",
+                      "ASN.1",
+                      "ASP.NET",
+                      "ATS",
+                      "ActionScript",
+                      "Ada",
+                      "Alloy",
+                      "Alpine Abuild",
+                      "Altium Designer",
+                      "AngelScript",
+                      "Ant Build System",
+                      "ApacheConf",
+                      "Apex",
+                      "Apollo Guidance Computer",
+                      "AppleScript",
+                      "Arc",
+                      "AsciiDoc",
+                      "AspectJ",
+                      "Assembly",
+                      "Astro",
+                      "Asymptote",
+                      "Augeas",
+                      "AutoHotkey",
+                      "AutoIt",
+                      "AutoIt3",
+                      "AutoItScript",
+                      "Avro IDL",
+                      "Awk",
+                      "BASIC",
+                      "Ballerina",
+                      "Batchfile",
+                      "Beef",
+                      "Befunge",
+                      "BibTeX",
+                      "Bicep",
+                      "Bison",
+                      "BitBake",
+                      "Blade",
+                      "BlitzBasic",
+                      "BlitzMax",
+                      "Boo",
+                      "Boogie",
+                      "Brainfuck",
+                      "Brightscript",
+                      "Browserslist",
+                      "C",
+                      "C#",
+                      "C++",
+                      "C-ObjDump",
+                      "C2hs Haskell",
+                      "CIL",
+                      "CLIPS",
+                      "CMake",
+                      "COBOL",
+                      "CODEOWNERS",
+                      "COLLADA",
+                      "CSON",
+                      "CSS",
+                      "CSV",
+                      "CUE",
+                      "CWeb",
+                      "Cabal Config",
+                      "Cabal",
+                      "Cap'n Proto",
+                      "Carto",
+                      "CartoCSS",
+                      "Ceylon",
+                      "Chapel",
+                      "Charity",
+                      "ChucK",
+                      "Cirru",
+                      "Clarion",
+                      "Classic ASP",
+                      "Clean",
+                      "Click",
+                      "Clojure",
+                      "Closure Templates",
+                      "Cloud Firestore Security Rules",
+                      "CoNLL",
+                      "CoNLL-U",
+                      "CoNLL-X",
+                      "ColdFusion CFC",
+                      "ColdFusion",
+                      "Common Lisp",
+                      "Common Workflow Language",
+                      "Component Pascal",
+                      "Containerfile",
+                      "Cool",
+                      "Coq",
+                      "Cpp-ObjDump",
+                      "Crystal",
+                      "Csound Document",
+                      "Csound Score",
+                      "Csound",
+                      "Cuda",
+                      "Cue Sheet",
+                      "Cycript",
+                      "Cython",
+                      "D-ObjDump",
+                      "DIGITAL Command Language",
+                      "DM",
+                      "DTrace",
+                      "Dafny",
+                      "Darcs Patch",
+                      "Dart",
+                      "DataWeave",
+                      "Dhall",
+                      "Diff",
+                      "Dlang",
+                      "Dockerfile",
+                      "Dogescript",
+                      "Dylan",
+                      "E",
+                      "E-mail",
+                      "EBNF",
+                      "ECL",
+                      "ECLiPSe",
+                      "EJS",
+                      "EQ",
+                      "Eagle",
+                      "Earthly",
+                      "Easybuild",
+                      "Ecere Projects",
+                      "EditorConfig",
+                      "Eiffel",
+                      "Elixir",
+                      "Elm",
+                      "Emacs Lisp",
+                      "EmberScript",
+                      "Erlang",
+                      "F#",
+                      "F*",
+                      "FIGfont",
+                      "FIGlet Font",
+                      "FLUX",
+                      "Factor",
+                      "Fancy",
+                      "Fantom",
+                      "Faust",
+                      "Fennel",
+                      "Filebench WML",
+                      "Filterscript",
+                      "Fluent",
+                      "Formatted",
+                      "Forth",
+                      "Fortran Free Form",
+                      "Fortran",
+                      "FreeBasic",
+                      "Frege",
+                      "Futhark",
+                      "G-code",
+                      "GAML",
+                      "GAMS",
+                      "GAP",
+                      "GCC Machine Description",
+                      "GDB",
+                      "GDScript",
+                      "GEDCOM",
+                      "GLSL",
+                      "GN",
+                      "Game Maker Language",
+                      "Gemfile.lock",
+                      "Genie",
+                      "Genshi",
+                      "Gentoo Eclass",
+                      "Gerber Image",
+                      "Gettext Catalog",
+                      "Gherkin",
+                      "Git Config",
+                      "Glyph Bitmap Distribution Format",
+                      "Glyph",
+                      "Gnuplot",
+                      "Go Checksums",
+                      "Go Module",
+                      "Go",
+                      "Golo",
+                      "Gosu",
+                      "Grace",
+                      "Gradle",
+                      "Grammatical Framework",
+                      "Graph Modeling Language",
+                      "GraphQL",
+                      "Graphviz (DOT)",
+                      "Groovy Server Pages",
+                      "Groovy",
+                      "HAProxy",
+                      "HCL",
+                      "HTML",
+                      "HTML+ECR",
+                      "HTML+EEX",
+                      "HTML+ERB",
+                      "HTML+PHP",
+                      "HTML+Razor",
+                      "HTTP",
+                      "HXML",
+                      "Hack",
+                      "Haml",
+                      "Handlebars",
+                      "Harbour",
+                      "HashiCorp Configuration Language",
+                      "Haskell",
+                      "Haxe",
+                      "HiveQL",
+                      "HolyC",
+                      "Hy",
+                      "IDL",
+                      "IGOR Pro",
+                      "IPython Notebook",
+                      "Idris",
+                      "Ignore List",
+                      "ImageJ Macro",
+                      "Inform 7",
+                      "Io",
+                      "Ioke",
+                      "Isabelle ROOT",
+                      "Isabelle",
+                      "J",
+                      "JAR Manifest",
+                      "JFlex",
+                      "JSON with Comments",
+                      "JSON",
+                      "JSON5",
+                      "JSONLD",
+                      "JSONiq",
+                      "Jasmin",
+                      "Java Properties",
+                      "Java Server Pages",
+                      "Java",
+                      "JavaScript",
+                      "JavaScript+ERB",
+                      "Jest Snapshot",
+                      "Jinja",
+                      "Jison Lex",
+                      "Jison",
+                      "Jolie",
+                      "Jsonnet",
+                      "Julia",
+                      "Jupyter Notebook",
+                      "Kaitai Struct",
+                      "KakouneScript",
+                      "KiCad Layout",
+                      "KiCad Legacy Layout",
+                      "KiCad Schematic",
+                      "Kit",
+                      "Kotlin",
+                      "Kusto",
+                      "LFE",
+                      "LLVM",
+                      "LOLCODE",
+                      "LSL",
+                      "LTspice Symbol",
+                      "LabVIEW",
+                      "Lark",
+                      "Lasso",
+                      "Lean",
+                      "Less",
+                      "Lex",
+                      "LilyPond",
+                      "Limbo",
+                      "Linker Script",
+                      "Linux Kernel Module",
+                      "Liquid",
+                      "Literate Agda",
+                      "Literate CoffeeScript",
+                      "Literate Haskell",
+                      "LiveScript",
+                      "Logos",
+                      "Logtalk",
+                      "LookML",
+                      "LoomScript",
+                      "Lua",
+                      "M",
+                      "M4",
+                      "M4Sugar",
+                      "MATLAB",
+                      "MAXScript",
+                      "MLIR",
+                      "MQL4",
+                      "MQL5",
+                      "MTML",
+                      "MUF",
+                      "Macaulay2",
+                      "Makefile",
+                      "Mako",
+                      "Markdown",
+                      "Marko",
+                      "Mathematica",
+                      "Max",
+                      "Mercury",
+                      "Meson",
+                      "Metal",
+                      "Microsoft Developer Studio Project",
+                      "Microsoft Visual Studio Solution",
+                      "MiniD",
+                      "Mirah",
+                      "Modelica",
+                      "Modula-2",
+                      "Modula-3",
+                      "Module Management System",
+                      "Monkey",
+                      "Moocode",
+                      "MoonScript",
+                      "Motoko",
+                      "Motorola 68K Assembly",
+                      "Muse",
+                      "Myghty",
+                      "NASL",
+                      "NCL",
+                      "NEON",
+                      "NPM Config",
+                      "NSIS",
+                      "NWScript",
+                      "Nearley",
+                      "Nemerle",
+                      "NeoSnippet",
+                      "NetLinx",
+                      "NetLinx+ERB",
+                      "NetLogo",
+                      "NewLisp",
+                      "Nextflow",
+                      "Nginx",
+                      "Ninja",
+                      "Nit",
+                      "Nix",
+                      "NumPy",
+                      "Nunjucks",
+                      "ObjDump",
+                      "Object Data Instance Notation",
+                      "ObjectScript",
+                      "Objective-C",
+                      "Objective-C++",
+                      "Objective-J",
+                      "Odin",
+                      "Omgrofl",
+                      "Opa",
+                      "Opal",
+                      "Open Policy Agent",
+                      "OpenCL",
+                      "OpenEdge ABL",
+                      "OpenQASM",
+                      "OpenRC runscript",
+                      "OpenSCAD",
+                      "OpenStep Property List",
+                      "OpenType Feature File",
+                      "Org",
+                      "Ox",
+                      "Oxygene",
+                      "Oz",
+                      "P4",
+                      "PEG.js",
+                      "PHP",
+                      "PLpgSQL",
+                      "POV-Ray SDL",
+                      "Pan",
+                      "Papyrus",
+                      "Parrot Assembly",
+                      "Parrot Internal Representation",
+                      "Parrot",
+                      "Pascal",
+                      "Pawn",
+                      "Pep8",
+                      "Perl",
+                      "Pickle",
+                      "PicoLisp",
+                      "PigLatin",
+                      "Pike",
+                      "PlantUML",
+                      "Pod 6",
+                      "Pod",
+                      "PogoScript",
+                      "Pony",
+                      "PostCSS",
+                      "PostScript",
+                      "PowerShell",
+                      "Prisma",
+                      "Processing",
+                      "Proguard",
+                      "Prolog",
+                      "Promela",
+                      "Propeller Spin",
+                      "Protocol Buffer",
+                      "Protocol Buffers",
+                      "Public Key",
+                      "Pug",
+                      "Puppet",
+                      "Pure Data",
+                      "PureBasic",
+                      "PureScript",
+                      "Python",
+                      "Q#",
+                      "QMake",
+                      "Qt Script",
+                      "Quake",
+                      "R",
+                      "RAML",
+                      "RDoc",
+                      "REALbasic",
+                      "REXX",
+                      "RMarkdown",
+                      "RPC",
+                      "RPM Spec",
+                      "Racket",
+                      "Ragel",
+                      "Raw token data",
+                      "ReScript",
+                      "Readline Config",
+                      "Reason",
+                      "Rebol",
+                      "Record Jar",
+                      "Red",
+                      "Redirect Rules",
+                      "Regular Expression",
+                      "RenderScript",
+                      "Rich Text Format",
+                      "Ring",
+                      "Riot",
+                      "RobotFramework",
+                      "Roff",
+                      "Rouge",
+                      "Rscript",
+                      "Ruby",
+                      "Rust",
+                      "SAS",
+                      "SCSS",
+                      "SELinux Kernel Policy Language",
+                      "SELinux Policy",
+                      "SMT",
+                      "SPARQL",
+                      "SQF",
+                      "SQL",
+                      "SQLPL",
+                      "SRecode Template",
+                      "SSH Config",
+                      "STON",
+                      "SVG",
+                      "SWIG",
+                      "Sage",
+                      "SaltStack",
+                      "Sass",
+                      "Scala",
+                      "Scaml",
+                      "Scheme",
+                      "Scilab",
+                      "Self",
+                      "ShaderLab",
+                      "Shell",
+                      "ShellCheck Config",
+                      "Sieve",
+                      "Singularity",
+                      "Slash",
+                      "Slice",
+                      "Slim",
+                      "SmPL",
+                      "Smalltalk",
+                      "SnipMate",
+                      "Solidity",
+                      "Soong",
+                      "SourcePawn",
+                      "Spline Font Database",
+                      "Squirrel",
+                      "Stan",
+                      "Standard ML",
+                      "Starlark",
+                      "StringTemplate",
+                      "Stylus",
+                      "SubRip Text",
+                      "SugarSS",
+                      "SuperCollider",
+                      "Svelte",
+                      "Swift",
+                      "SystemVerilog",
+                      "TI Program",
+                      "TLA",
+                      "TOML",
+                      "TSQL",
+                      "TSV",
+                      "TSX",
+                      "TXL",
+                      "Tcl",
+                      "Tcsh",
+                      "TeX",
+                      "Tea",
+                      "Terra",
+                      "Texinfo",
+                      "Text",
+                      "TextMate Properties",
+                      "Textile",
+                      "Thrift",
+                      "Turing",
+                      "Turtle",
+                      "Twig",
+                      "Type Language",
+                      "TypeScript",
+                      "UltiSnip",
+                      "UltiSnips",
+                      "Unified Parallel C",
+                      "Unity3D Asset",
+                      "Unix Assembly",
+                      "Uno",
+                      "UnrealScript",
+                      "Ur",
+                      "Ur/Web",
+                      "UrWeb",
+                      "V",
+                      "VBA",
+                      "VCL",
+                      "VHDL",
+                      "Vala",
+                      "Valve Data Format",
+                      "Verilog",
+                      "Vim Help File",
+                      "Vim Script",
+                      "Vim Snippet",
+                      "Visual Basic .NET",
+                      "Vue",
+                      "Wavefront Material",
+                      "Wavefront Object",
+                      "Web Ontology Language",
+                      "WebAssembly",
+                      "WebVTT",
+                      "Wget Config",
+                      "Wikitext",
+                      "Windows Registry Entries",
+                      "Wollok",
+                      "World of Warcraft Addon Data",
+                      "X BitMap",
+                      "X Font Directory Index",
+                      "X PixMap",
+                      "X10",
+                      "XC",
+                      "XCompose",
+                      "XML Property List",
+                      "XML",
+                      "XPages",
+                      "XProc",
+                      "XQuery",
+                      "XS",
+                      "XSLT",
+                      "Xojo",
+                      "Xonsh",
+                      "Xtend",
+                      "YAML",
+                      "YANG",
+                      "YARA",
+                      "YASnippet",
+                      "Yacc",
+                      "ZAP",
+                      "ZIL",
+                      "Zeek",
+                      "ZenScript",
+                      "Zephir",
+                      "Zig",
+                      "Zimpl",
+                      "abl",
+                      "abuild",
+                      "acfm",
+                      "aconf",
+                      "actionscript 3",
+                      "actionscript3",
+                      "ada2005",
+                      "ada95",
+                      "adobe composite font metrics",
+                      "adobe multiple font metrics",
+                      "advpl",
+                      "ags",
+                      "ahk",
+                      "altium",
+                      "amfm",
+                      "amusewiki",
+                      "apache",
+                      "apkbuild",
+                      "arexx",
+                      "as3",
+                      "asm",
+                      "asp",
+                      "aspx",
+                      "aspx-vb",
+                      "ats2",
+                      "au3",
+                      "autoconf",
+                      "b3d",
+                      "bash session",
+                      "bash",
+                      "bat",
+                      "batch",
+                      "bazel",
+                      "blitz3d",
+                      "blitzplus",
+                      "bmax",
+                      "bplus",
+                      "bro",
+                      "bsdmake",
+                      "byond",
+                      "bzl",
+                      "c++-objdump",
+                      "c2hs",
+                      "cURL Config",
+                      "cake",
+                      "cakescript",
+                      "cfc",
+                      "cfm",
+                      "cfml",
+                      "chpl",
+                      "clipper",
+                      "coccinelle",
+                      "coffee",
+                      "coffee-script",
+                      "coldfusion html",
+                      "console",
+                      "cperl",
+                      "cpp",
+                      "csharp",
+                      "csound-csd",
+                      "csound-orc",
+                      "csound-sco",
+                      "cucumber",
+                      "curlrc",
+                      "cwl",
+                      "dcl",
+                      "delphi",
+                      "desktop",
+                      "dircolors",
+                      "django",
+                      "dosbatch",
+                      "dosini",
+                      "dpatch",
+                      "dtrace-script",
+                      "eC",
+                      "ecr",
+                      "editor-config",
+                      "edn",
+                      "eeschema schematic",
+                      "eex",
+                      "elisp",
+                      "emacs muse",
+                      "emacs",
+                      "email",
+                      "eml",
+                      "erb",
+                      "fb",
+                      "fish",
+                      "flex",
+                      "foxpro",
+                      "fsharp",
+                      "fstar",
+                      "ftl",
+                      "fundamental",
+                      "gf",
+                      "git-ignore",
+                      "gitattributes",
+                      "gitconfig",
+                      "gitignore",
+                      "gitmodules",
+                      "go mod",
+                      "go sum",
+                      "go.mod",
+                      "go.sum",
+                      "golang",
+                      "groff",
+                      "gsp",
+                      "hbs",
+                      "heex",
+                      "help",
+                      "html+django",
+                      "html+jinja",
+                      "html+ruby",
+                      "htmlbars",
+                      "htmldjango",
+                      "hylang",
+                      "i7",
+                      "ignore",
+                      "igor",
+                      "igorpro",
+                      "ijm",
+                      "inc",
+                      "inform7",
+                      "inputrc",
+                      "irc logs",
+                      "irc",
+                      "java server page",
+                      "jq",
+                      "jruby",
+                      "js",
+                      "jsonc",
+                      "jsp",
+                      "kak",
+                      "kakscript",
+                      "keyvalues",
+                      "ksy",
+                      "lassoscript",
+                      "latex",
+                      "leex",
+                      "lhaskell",
+                      "lhs",
+                      "lisp",
+                      "litcoffee",
+                      "live-script",
+                      "ls",
+                      "m2",
+                      "m68k",
+                      "mIRC Script",
+                      "macruby",
+                      "mail",
+                      "make",
+                      "man page",
+                      "man",
+                      "man-page",
+                      "manpage",
+                      "markojs",
+                      "max/msp",
+                      "maxmsp",
+                      "mbox",
+                      "mcfunction",
+                      "mdoc",
+                      "mediawiki",
+                      "mf",
+                      "mma",
+                      "mumps",
+                      "mupad",
+                      "nanorc",
+                      "nasm",
+                      "ne-on",
+                      "nesC",
+                      "nette object notation",
+                      "nginx configuration file",
+                      "nixos",
+                      "njk",
+                      "node",
+                      "npmrc",
+                      "nroff",
+                      "nush",
+                      "nvim",
+                      "obj-c",
+                      "obj-c++",
+                      "obj-j",
+                      "objc",
+                      "objc++",
+                      "objectivec",
+                      "objectivec++",
+                      "objectivej",
+                      "objectpascal",
+                      "objj",
+                      "octave",
+                      "odin-lang",
+                      "odinlang",
+                      "oncrpc",
+                      "ooc",
+                      "openedge",
+                      "openrc",
+                      "osascript",
+                      "pandoc",
+                      "pasm",
+                      "pcbnew",
+                      "perl-6",
+                      "perl6",
+                      "pir",
+                      "plain text",
+                      "posh",
+                      "postscr",
+                      "pot",
+                      "pov-ray",
+                      "povray",
+                      "progress",
+                      "protobuf",
+                      "pwsh",
+                      "pycon",
+                      "pyrex",
+                      "python3",
+                      "q",
+                      "ql",
+                      "qsharp",
+                      "ragel-rb",
+                      "ragel-ruby",
+                      "rake",
+                      "raw",
+                      "razor",
+                      "rb",
+                      "rbx",
+                      "reStructuredText",
+                      "readline",
+                      "red/system",
+                      "redirects",
+                      "regex",
+                      "regexp",
+                      "renpy",
+                      "rhtml",
+                      "robots txt",
+                      "robots",
+                      "robots.txt",
+                      "rpcgen",
+                      "rs",
+                      "rs-274x",
+                      "rss",
+                      "rst",
+                      "rusthon",
+                      "salt",
+                      "saltstate",
+                      "sed",
+                      "sepolicy",
+                      "sh",
+                      "shell-script",
+                      "shellcheckrc",
+                      "sml",
+                      "snippet",
+                      "sourcemod",
+                      "soy",
+                      "specfile",
+                      "splus",
+                      "squeak",
+                      "terraform",
+                      "tl",
+                      "tm-properties",
+                      "troff",
+                      "ts",
+                      "udiff",
+                      "vb .net",
+                      "vb.net",
+                      "vb6",
+                      "vbnet",
+                      "vdf",
+                      "vim",
+                      "vimhelp",
+                      "viml",
+                      "visual basic 6",
+                      "visual basic for applications",
+                      "visual basic",
+                      "vlang",
+                      "wasm",
+                      "wast",
+                      "wdl",
+                      "wgetrc",
+                      "wiki",
+                      "winbatch",
+                      "wisp",
+                      "wl",
+                      "wolfram lang",
+                      "wolfram language",
+                      "wolfram",
+                      "wsdl",
+                      "xBase",
+                      "xbm",
+                      "xdr",
+                      "xhtml",
+                      "xml+genshi",
+                      "xml+kid",
+                      "xpm",
+                      "xsd",
+                      "xsl",
+                      "xten",
+                      "yas",
+                      "yml",
+                      "zsh"
+                    ]
+                  }
+                },
+                "additionalProperties": false
+              },
+              "validations": {
+                "$ref": "#/definitions/validations",
+                "title": "textarea validations",
+                "description": "Textarea validations\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#validations"
+              }
+            },
+            "additionalProperties": false
+          }
+        },
+        {
+          "if": {
+            "properties": {
+              "type": {
+                "const": "input"
+              }
+            }
+          },
+          "then": {
+            "$comment": "For `additionalProperties` to work `type` must also be present here.",
+            "title": "input",
+            "description": "Input\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#input",
+            "type": "object",
+            "required": ["type", "attributes"],
+            "properties": {
+              "type": {
+                "$ref": "#/definitions/type"
+              },
+              "id": {
+                "$ref": "#/definitions/id",
+                "description": "An input id\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#keys"
+              },
+              "attributes": {
+                "title": "input attributes",
+                "description": "Input attributes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-2",
+                "type": "object",
+                "required": ["label"],
+                "properties": {
+                  "label": {
+                    "$ref": "#/definitions/label",
+                    "description": "A short input description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-2"
+                  },
+                  "description": {
+                    "$ref": "#/definitions/description",
+                    "description": "A long input description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-2"
+                  },
+                  "placeholder": {
+                    "$ref": "#/definitions/placeholder",
+                    "description": "An input placeholder\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-2"
+                  },
+                  "value": {
+                    "$ref": "#/definitions/value",
+                    "description": "An input value\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-2"
+                  }
+                },
+                "additionalProperties": false
+              },
+              "validations": {
+                "$ref": "#/definitions/validations",
+                "title": "input validations",
+                "description": "Input validations\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#validations-1"
+              }
+            },
+            "additionalProperties": false
+          }
+        },
+        {
+          "if": {
+            "properties": {
+              "type": {
+                "const": "dropdown"
+              }
+            }
+          },
+          "then": {
+            "$comment": "For `additionalProperties` to work `type` must also be present here.",
+            "title": "dropdown",
+            "description": "dropdown\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#dropdown",
+            "type": "object",
+            "required": ["type", "attributes"],
+            "properties": {
+              "type": {
+                "$ref": "#/definitions/type"
+              },
+              "id": {
+                "$ref": "#/definitions/id",
+                "description": "A dropdown id\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#keys"
+              },
+              "attributes": {
+                "title": "dropdown attributes",
+                "description": "Dropdown attributes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3",
+                "type": "object",
+                "required": ["label", "options"],
+                "properties": {
+                  "label": {
+                    "$ref": "#/definitions/label",
+                    "description": "A short dropdown description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3"
+                  },
+                  "description": {
+                    "$ref": "#/definitions/description",
+                    "description": "A long dropdown description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3"
+                  },
+                  "multiple": {
+                    "description": "Specify whether allow a multiple choices\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3",
+                    "type": "boolean",
+                    "default": false
+                  },
+                  "options": {
+                    "description": "Dropdown choices\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3",
+                    "type": "array",
+                    "minItems": 1,
+                    "uniqueItems": true,
+                    "items": {
+                      "type": "string",
+                      "minLength": 1,
+                      "examples": ["Sample choice"]
+                    }
+                  },
+                  "default": {
+                    "description": "Index of the default option\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-3",
+                    "type": "integer",
+                    "examples": [0]
+                  }
+                },
+                "additionalProperties": false
+              },
+              "validations": {
+                "$ref": "#/definitions/validations",
+                "title": "dropdown validations",
+                "description": "Dropdown validations\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#validations-2"
+              }
+            },
+            "additionalProperties": false
+          }
+        },
+        {
+          "if": {
+            "properties": {
+              "type": {
+                "const": "checkboxes"
+              }
+            }
+          },
+          "then": {
+            "$comment": "For `additionalProperties` to work `type` must also be present here.",
+            "title": "checkboxes",
+            "description": "Checkboxes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#checkboxes",
+            "type": "object",
+            "required": ["type", "attributes"],
+            "properties": {
+              "type": {
+                "$ref": "#/definitions/type"
+              },
+              "id": {
+                "$ref": "#/definitions/id",
+                "description": "Checkbox list id\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#keys"
+              },
+              "attributes": {
+                "title": "checkbox list attributes",
+                "description": "Checkbox list attributes\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4",
+                "type": "object",
+                "required": ["label", "options"],
+                "properties": {
+                  "label": {
+                    "$ref": "#/definitions/label",
+                    "description": "A short checkbox list description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4"
+                  },
+                  "description": {
+                    "$ref": "#/definitions/description",
+                    "description": "A long checkbox list description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4"
+                  },
+                  "options": {
+                    "description": "Checkbox list choices\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4",
+                    "type": "array",
+                    "minItems": 1,
+                    "items": {
+                      "title": "checkbox list choice",
+                      "description": "Checkbox list choice\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4",
+                      "type": "object",
+                      "required": ["label"],
+                      "properties": {
+                        "label": {
+                          "description": "A short checkbox list choice description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4",
+                          "type": "string",
+                          "minLength": 1,
+                          "examples": ["Sample label"]
+                        },
+                        "required": {
+                          "description": "Specify whether a choice is required\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema#attributes-4",
+                          "type": "boolean",
+                          "default": false
+                        }
+                      },
+                      "additionalProperties": false
+                    }
+                  }
+                },
+                "additionalProperties": false
+              }
+            },
+            "additionalProperties": false
+          }
+        }
+      ]
+    }
+  },
+  "properties": {
+    "name": {
+      "description": "An issue template name\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "type": "string",
+      "minLength": 1,
+      "examples": ["Sample name"]
+    },
+    "description": {
+      "description": "An issue template description\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "type": "string",
+      "minLength": 1,
+      "examples": ["Sample description"]
+    },
+    "body": {
+      "description": "An issue template body\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "type": "array",
+      "minItems": 1,
+      "items": {
+        "$ref": "#/definitions/form_item"
+      }
+    },
+    "assignees": {
+      "description": "An issue template assignees\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "oneOf": [
+        {
+          "$ref": "#/definitions/assignee"
+        },
+        {
+          "type": "array",
+          "minItems": 1,
+          "uniqueItems": true,
+          "items": {
+            "$ref": "#/definitions/assignee"
+          }
+        }
+      ]
+    },
+    "labels": {
+      "description": "An issue template labels\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "type": "array",
+      "minItems": 1,
+      "uniqueItems": true,
+      "items": {
+        "type": "string",
+        "minLength": 1,
+        "examples": [
+          "Sample label",
+          "bug",
+          "documentation",
+          "duplicate",
+          "enhancement",
+          "good first issue",
+          "help wanted",
+          "invalid",
+          "question",
+          "wontfix"
+        ]
+      }
+    },
+    "title": {
+      "description": "An issue template title\nhttps://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-issue-forms#top-level-syntax",
+      "type": "string",
+      "minLength": 1,
+      "examples": ["Sample title", "Bug: ", "Feature: "]
+    }
+  },
+  "required": ["name", "description", "body"],
+  "title": "GitHub issue forms config file schema",
+  "type": "object"
+}
diff --git a/ci/schemas/pull-request-labeler-5.json b/ci/schemas/pull-request-labeler-5.json
new file mode 100644
index 000000000000..22ad7955814f
--- /dev/null
+++ b/ci/schemas/pull-request-labeler-5.json
@@ -0,0 +1,95 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "https://json.schemastore.org/pull-request-labeler-5.json",
+  "$comment": "https://github.com/actions/labeler",
+  "$defs": {
+    "stringOrStringArray": {
+      "oneOf": [
+        {
+          "type": "string"
+        },
+        {
+          "type": "array",
+          "items": {
+            "type": "string"
+          }
+        }
+      ]
+    },
+    "match": {
+      "title": "Match",
+      "type": "object",
+      "properties": {
+        "changed-files": {
+          "type": "array",
+          "items": {
+            "type": "object",
+            "properties": {
+              "any-glob-to-any-file": { "$ref": "#/$defs/stringOrStringArray" },
+              "any-glob-to-all-files": {
+                "$ref": "#/$defs/stringOrStringArray"
+              },
+              "all-globs-to-any-file": {
+                "$ref": "#/$defs/stringOrStringArray"
+              },
+              "all-globs-to-all-files": {
+                "$ref": "#/$defs/stringOrStringArray"
+              }
+            },
+            "oneOf": [
+              { "required": ["any-glob-to-any-file"] },
+              { "required": ["any-glob-to-all-files"] },
+              { "required": ["all-globs-to-any-file"] },
+              { "required": ["all-globs-to-all-files"] }
+            ],
+            "additionalProperties": false
+          }
+        },
+        "base-branch": { "$ref": "#/$defs/stringOrStringArray" },
+        "head-branch": { "$ref": "#/$defs/stringOrStringArray" }
+      },
+      "oneOf": [
+        { "required": ["changed-files"] },
+        { "required": ["base-branch"] },
+        { "required": ["head-branch"] }
+      ],
+      "additionalProperties": false
+    }
+  },
+  "additionalProperties": {
+    "title": "Label",
+    "type": "array",
+    "items": {
+      "anyOf": [
+        {
+          "type": "object",
+          "properties": {
+            "all": {
+              "title": "All",
+              "type": "array",
+              "items": { "$ref": "#/$defs/match" }
+            }
+          },
+          "additionalProperties": false,
+          "required": ["all"]
+        },
+        {
+          "type": "object",
+          "properties": {
+            "any": {
+              "title": "Any",
+              "type": "array",
+              "items": { "$ref": "#/$defs/match" }
+            }
+          },
+          "additionalProperties": false,
+          "required": ["any"]
+        },
+        { "$ref": "#/$defs/match" }
+      ]
+    }
+  },
+  "description": "A GitHub Action for automatically labelling pull requests.",
+  "title": "Pull Request Labeler",
+  "type": "object"
+}
diff --git a/ci/schemas/vendor_schemas.py b/ci/schemas/vendor_schemas.py
new file mode 100644
index 000000000000..a40e262e69f7
--- /dev/null
+++ b/ci/schemas/vendor_schemas.py
@@ -0,0 +1,50 @@
+#!/usr/bin/env python3
+"""
+Download YAML Schemas for linting and validation.
+
+Since pre-commit CI doesn't have Internet access, we need to bundle these files
+in the repo.
+"""
+
+import os
+import pathlib
+import urllib.request
+
+
+HERE = pathlib.Path(__file__).parent
+SCHEMAS = [
+    'https://json.schemastore.org/appveyor.json',
+    'https://json.schemastore.org/circleciconfig.json',
+    'https://json.schemastore.org/github-funding.json',
+    'https://json.schemastore.org/github-issue-config.json',
+    'https://json.schemastore.org/github-issue-forms.json',
+    'https://json.schemastore.org/codecov.json',
+    'https://json.schemastore.org/pull-request-labeler-5.json',
+    'https://github.com/microsoft/vscode-python/raw/'
+        'main/schemas/conda-environment.json',
+]
+
+
+def print_progress(block_count, block_size, total_size):
+    size = block_count * block_size
+    if total_size != -1:
+        size = min(size, total_size)
+        width = 50
+        percent = size / total_size * 100
+        filled = int(percent // (100 // width))
+        percent_str = '\N{Full Block}' * filled + '\N{Light Shade}' * (width - filled)
+    print(f'{percent_str} {size:6d} / {total_size:6d}', end='\r')
+
+
+# First clean up existing files.
+for json in HERE.glob('*.json'):
+    os.remove(json)
+
+for schema in SCHEMAS:
+    path = HERE / schema.rsplit('/', 1)[-1]
+    print(f'Downloading {schema} to {path}')
+    urllib.request.urlretrieve(schema, filename=path, reporthook=print_progress)
+    print()
+    # This seems weird, but it normalizes line endings to the current platform,
+    # so that Git doesn't complain about it.
+    path.write_text(path.read_text())
diff --git a/distribute_setup.py b/distribute_setup.py
deleted file mode 100755
index cf3013d0f184..000000000000
--- a/distribute_setup.py
+++ /dev/null
@@ -1,557 +0,0 @@
-#!python
-"""Bootstrap distribute installation
-
-If you want to use setuptools in your package's setup.py, just include this
-file in the same directory with it, and add this to the top of your setup.py::
-
-    from distribute_setup import use_setuptools
-    use_setuptools()
-
-If you want to require a specific version of setuptools, set a download
-mirror, or use an alternate download directory, you can do so by supplying
-the appropriate options to ``use_setuptools()``.
-
-This file can also be run as a script to install or upgrade setuptools.
-"""
-import os
-import shutil
-import sys
-import time
-import fnmatch
-import tempfile
-import tarfile
-import optparse
-
-from distutils import log
-
-try:
-    from site import USER_SITE
-except ImportError:
-    USER_SITE = None
-
-try:
-    import subprocess
-
-    def _python_cmd(*args):
-        args = (sys.executable,) + args
-        return subprocess.call(args) == 0
-
-except ImportError:
-    # will be used for python 2.3
-    def _python_cmd(*args):
-        args = (sys.executable,) + args
-        # quoting arguments if windows
-        if sys.platform == 'win32':
-            def quote(arg):
-                if ' ' in arg:
-                    return '"%s"' % arg
-                return arg
-            args = [quote(arg) for arg in args]
-        return os.spawnl(os.P_WAIT, sys.executable, *args) == 0
-
-MINIMUM_VERSION = "0.6.28"
-DEFAULT_VERSION = "0.6.45"
-DEFAULT_URL = "http://pypi.python.org/packages/source/d/distribute/"
-SETUPTOOLS_FAKED_VERSION = "0.6c11"
-
-SETUPTOOLS_PKG_INFO = """\
-Metadata-Version: 1.0
-Name: setuptools
-Version: %s
-Summary: xxxx
-Home-page: xxx
-Author: xxx
-Author-email: xxx
-License: xxx
-Description: xxx
-""" % SETUPTOOLS_FAKED_VERSION
-
-
-def _install(tarball, install_args=()):
-    # extracting the tarball
-    tmpdir = tempfile.mkdtemp()
-    log.warn('Extracting in %s', tmpdir)
-    old_wd = os.getcwd()
-    try:
-        os.chdir(tmpdir)
-        tar = tarfile.open(tarball)
-        _extractall(tar)
-        tar.close()
-
-        # going in the directory
-        subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0])
-        os.chdir(subdir)
-        log.warn('Now working in %s', subdir)
-
-        # installing
-        log.warn('Installing Distribute')
-        if not _python_cmd('setup.py', 'install', *install_args):
-            log.warn('Something went wrong during the installation.')
-            log.warn('See the error message above.')
-            # exitcode will be 2
-            return 2
-    finally:
-        os.chdir(old_wd)
-        shutil.rmtree(tmpdir)
-
-
-def _build_egg(egg, tarball, to_dir):
-    # extracting the tarball
-    tmpdir = tempfile.mkdtemp()
-    log.warn('Extracting in %s', tmpdir)
-    old_wd = os.getcwd()
-    try:
-        os.chdir(tmpdir)
-        tar = tarfile.open(tarball)
-        _extractall(tar)
-        tar.close()
-
-        # going in the directory
-        subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0])
-        os.chdir(subdir)
-        log.warn('Now working in %s', subdir)
-
-        # building an egg
-        log.warn('Building a Distribute egg in %s', to_dir)
-        _python_cmd('setup.py', '-q', 'bdist_egg', '--dist-dir', to_dir)
-
-    finally:
-        os.chdir(old_wd)
-        shutil.rmtree(tmpdir)
-    # returning the result
-    log.warn(egg)
-    if not os.path.exists(egg):
-        raise IOError('Could not build the egg.')
-
-
-def _do_download(version, download_base, to_dir, download_delay):
-    egg = os.path.join(to_dir, 'distribute-%s-py%d.%d.egg'
-                       % (version, sys.version_info[0], sys.version_info[1]))
-    if not os.path.exists(egg):
-        tarball = download_setuptools(version, download_base,
-                                      to_dir, download_delay)
-        _build_egg(egg, tarball, to_dir)
-    sys.path.insert(0, egg)
-    import setuptools
-    setuptools.bootstrap_install_from = egg
-
-
-def use_setuptools(version=MINIMUM_VERSION, download_base=DEFAULT_URL,
-                   to_dir=os.curdir, download_delay=15, no_fake=True):
-    # making sure we use the absolute path
-    to_dir = os.path.abspath(to_dir)
-    was_imported = 'pkg_resources' in sys.modules or \
-        'setuptools' in sys.modules
-    try:
-        try:
-            import pkg_resources
-
-            # Setuptools 0.7b and later is a suitable (and preferable)
-            # substitute for any Distribute version.
-            try:
-                pkg_resources.require("setuptools>=0.7b")
-                return
-            except (pkg_resources.DistributionNotFound,
-                    pkg_resources.VersionConflict):
-                pass
-
-            if not hasattr(pkg_resources, '_distribute'):
-                if not no_fake:
-                    _fake_setuptools()
-                raise ImportError
-        except ImportError:
-            return _do_download(version, download_base, to_dir, download_delay)
-        try:
-            pkg_resources.require("distribute>=" + version)
-            return
-        except pkg_resources.VersionConflict:
-            e = sys.exc_info()[1]
-            if was_imported:
-                sys.stderr.write(
-                "The required version of distribute (>=%s) is not available,\n"
-                "and can't be installed while this script is running. Please\n"
-                "install a more recent version first, using\n"
-                "'easy_install -U distribute'."
-                "\n\n(Currently using %r)\n" % (version, e.args[0]))
-                sys.exit(2)
-            else:
-                del pkg_resources, sys.modules['pkg_resources']    # reload ok
-                return _do_download(version, download_base, to_dir,
-                                    download_delay)
-        except pkg_resources.DistributionNotFound:
-            return _do_download(version, download_base, to_dir,
-                                download_delay)
-    finally:
-        if not no_fake:
-            _create_fake_setuptools_pkg_info(to_dir)
-
-
-def download_setuptools(version=DEFAULT_VERSION, download_base=DEFAULT_URL,
-                        to_dir=os.curdir, delay=15):
-    """Download distribute from a specified location and return its filename
-
-    `version` should be a valid distribute version number that is available
-    as an egg for download under the `download_base` URL (which should end
-    with a '/'). `to_dir` is the directory where the egg will be downloaded.
-    `delay` is the number of seconds to pause before an actual download
-    attempt.
-    """
-    # making sure we use the absolute path
-    to_dir = os.path.abspath(to_dir)
-    try:
-        from urllib.request import urlopen
-    except ImportError:
-        from urllib2 import urlopen
-    tgz_name = "distribute-%s.tar.gz" % version
-    url = download_base + tgz_name
-    saveto = os.path.join(to_dir, tgz_name)
-    src = dst = None
-    if not os.path.exists(saveto):  # Avoid repeated downloads
-        try:
-            log.warn("Downloading %s", url)
-            src = urlopen(url)
-            # Read/write all in one block, so we don't create a corrupt file
-            # if the download is interrupted.
-            data = src.read()
-            dst = open(saveto, "wb")
-            dst.write(data)
-        finally:
-            if src:
-                src.close()
-            if dst:
-                dst.close()
-    return os.path.realpath(saveto)
-
-
-def _no_sandbox(function):
-    def __no_sandbox(*args, **kw):
-        try:
-            from setuptools.sandbox import DirectorySandbox
-            if not hasattr(DirectorySandbox, '_old'):
-                def violation(*args):
-                    pass
-                DirectorySandbox._old = DirectorySandbox._violation
-                DirectorySandbox._violation = violation
-                patched = True
-            else:
-                patched = False
-        except ImportError:
-            patched = False
-
-        try:
-            return function(*args, **kw)
-        finally:
-            if patched:
-                DirectorySandbox._violation = DirectorySandbox._old
-                del DirectorySandbox._old
-
-    return __no_sandbox
-
-
-def _patch_file(path, content):
-    """Will backup the file then patch it"""
-    f = open(path)
-    existing_content = f.read()
-    f.close()
-    if existing_content == content:
-        # already patched
-        log.warn('Already patched.')
-        return False
-    log.warn('Patching...')
-    _rename_path(path)
-    f = open(path, 'w')
-    try:
-        f.write(content)
-    finally:
-        f.close()
-    return True
-
-_patch_file = _no_sandbox(_patch_file)
-
-
-def _same_content(path, content):
-    f = open(path)
-    existing_content = f.read()
-    f.close()
-    return existing_content == content
-
-
-def _rename_path(path):
-    new_name = path + '.OLD.%s' % time.time()
-    log.warn('Renaming %s to %s', path, new_name)
-    os.rename(path, new_name)
-    return new_name
-
-
-def _remove_flat_installation(placeholder):
-    if not os.path.isdir(placeholder):
-        log.warn('Unkown installation at %s', placeholder)
-        return False
-    found = False
-    for file in os.listdir(placeholder):
-        if fnmatch.fnmatch(file, 'setuptools*.egg-info'):
-            found = True
-            break
-    if not found:
-        log.warn('Could not locate setuptools*.egg-info')
-        return
-
-    log.warn('Moving elements out of the way...')
-    pkg_info = os.path.join(placeholder, file)
-    if os.path.isdir(pkg_info):
-        patched = _patch_egg_dir(pkg_info)
-    else:
-        patched = _patch_file(pkg_info, SETUPTOOLS_PKG_INFO)
-
-    if not patched:
-        log.warn('%s already patched.', pkg_info)
-        return False
-    # now let's move the files out of the way
-    for element in ('setuptools', 'pkg_resources.py', 'site.py'):
-        element = os.path.join(placeholder, element)
-        if os.path.exists(element):
-            _rename_path(element)
-        else:
-            log.warn('Could not find the %s element of the '
-                     'Setuptools distribution', element)
-    return True
-
-_remove_flat_installation = _no_sandbox(_remove_flat_installation)
-
-
-def _after_install(dist):
-    log.warn('After install bootstrap.')
-    placeholder = dist.get_command_obj('install').install_purelib
-    _create_fake_setuptools_pkg_info(placeholder)
-
-
-def _create_fake_setuptools_pkg_info(placeholder):
-    if not placeholder or not os.path.exists(placeholder):
-        log.warn('Could not find the install location')
-        return
-    pyver = '%s.%s' % (sys.version_info[0], sys.version_info[1])
-    setuptools_file = 'setuptools-%s-py%s.egg-info' % \
-            (SETUPTOOLS_FAKED_VERSION, pyver)
-    pkg_info = os.path.join(placeholder, setuptools_file)
-    if os.path.exists(pkg_info):
-        log.warn('%s already exists', pkg_info)
-        return
-
-    log.warn('Creating %s', pkg_info)
-    try:
-        f = open(pkg_info, 'w')
-    except EnvironmentError:
-        log.warn("Don't have permissions to write %s, skipping", pkg_info)
-        return
-    try:
-        f.write(SETUPTOOLS_PKG_INFO)
-    finally:
-        f.close()
-
-    pth_file = os.path.join(placeholder, 'setuptools.pth')
-    log.warn('Creating %s', pth_file)
-    f = open(pth_file, 'w')
-    try:
-        f.write(os.path.join(os.curdir, setuptools_file))
-    finally:
-        f.close()
-
-_create_fake_setuptools_pkg_info = _no_sandbox(
-    _create_fake_setuptools_pkg_info
-)
-
-
-def _patch_egg_dir(path):
-    # let's check if it's already patched
-    pkg_info = os.path.join(path, 'EGG-INFO', 'PKG-INFO')
-    if os.path.exists(pkg_info):
-        if _same_content(pkg_info, SETUPTOOLS_PKG_INFO):
-            log.warn('%s already patched.', pkg_info)
-            return False
-    _rename_path(path)
-    os.mkdir(path)
-    os.mkdir(os.path.join(path, 'EGG-INFO'))
-    pkg_info = os.path.join(path, 'EGG-INFO', 'PKG-INFO')
-    f = open(pkg_info, 'w')
-    try:
-        f.write(SETUPTOOLS_PKG_INFO)
-    finally:
-        f.close()
-    return True
-
-_patch_egg_dir = _no_sandbox(_patch_egg_dir)
-
-
-def _before_install():
-    log.warn('Before install bootstrap.')
-    _fake_setuptools()
-
-
-def _under_prefix(location):
-    if 'install' not in sys.argv:
-        return True
-    args = sys.argv[sys.argv.index('install') + 1:]
-    for index, arg in enumerate(args):
-        for option in ('--root', '--prefix'):
-            if arg.startswith('%s=' % option):
-                top_dir = arg.split('root=')[-1]
-                return location.startswith(top_dir)
-            elif arg == option:
-                if len(args) > index:
-                    top_dir = args[index + 1]
-                    return location.startswith(top_dir)
-        if arg == '--user' and USER_SITE is not None:
-            return location.startswith(USER_SITE)
-    return True
-
-
-def _fake_setuptools():
-    log.warn('Scanning installed packages')
-    try:
-        import pkg_resources
-    except ImportError:
-        # we're cool
-        log.warn('Setuptools or Distribute does not seem to be installed.')
-        return
-    ws = pkg_resources.working_set
-    try:
-        setuptools_dist = ws.find(
-            pkg_resources.Requirement.parse('setuptools', replacement=False)
-            )
-    except TypeError:
-        # old distribute API
-        setuptools_dist = ws.find(
-            pkg_resources.Requirement.parse('setuptools')
-        )
-
-    if setuptools_dist is None:
-        log.warn('No setuptools distribution found')
-        return
-    # detecting if it was already faked
-    setuptools_location = setuptools_dist.location
-    log.warn('Setuptools installation detected at %s', setuptools_location)
-
-    # if --root or --preix was provided, and if
-    # setuptools is not located in them, we don't patch it
-    if not _under_prefix(setuptools_location):
-        log.warn('Not patching, --root or --prefix is installing Distribute'
-                 ' in another location')
-        return
-
-    # let's see if its an egg
-    if not setuptools_location.endswith('.egg'):
-        log.warn('Non-egg installation')
-        res = _remove_flat_installation(setuptools_location)
-        if not res:
-            return
-    else:
-        log.warn('Egg installation')
-        pkg_info = os.path.join(setuptools_location, 'EGG-INFO', 'PKG-INFO')
-        if (os.path.exists(pkg_info) and
-            _same_content(pkg_info, SETUPTOOLS_PKG_INFO)):
-            log.warn('Already patched.')
-            return
-        log.warn('Patching...')
-        # let's create a fake egg replacing setuptools one
-        res = _patch_egg_dir(setuptools_location)
-        if not res:
-            return
-    log.warn('Patching complete.')
-    _relaunch()
-
-
-def _relaunch():
-    log.warn('Relaunching...')
-    # we have to relaunch the process
-    # pip marker to avoid a relaunch bug
-    _cmd1 = ['-c', 'install', '--single-version-externally-managed']
-    _cmd2 = ['-c', 'install', '--record']
-    if sys.argv[:3] == _cmd1 or sys.argv[:3] == _cmd2:
-        sys.argv[0] = 'setup.py'
-    args = [sys.executable] + sys.argv
-    sys.exit(subprocess.call(args))
-
-
-def _extractall(self, path=".", members=None):
-    """Extract all members from the archive to the current working
-       directory and set owner, modification time and permissions on
-       directories afterwards. `path' specifies a different directory
-       to extract to. `members' is optional and must be a subset of the
-       list returned by getmembers().
-    """
-    import copy
-    import operator
-    from tarfile import ExtractError
-    directories = []
-
-    if members is None:
-        members = self
-
-    for tarinfo in members:
-        if tarinfo.isdir():
-            # Extract directories with a safe mode.
-            directories.append(tarinfo)
-            tarinfo = copy.copy(tarinfo)
-            tarinfo.mode = 448  # decimal for oct 0700
-        self.extract(tarinfo, path)
-
-    # Reverse sort directories.
-    if sys.version_info < (2, 4):
-        def sorter(dir1, dir2):
-            return cmp(dir1.name, dir2.name)
-        directories.sort(sorter)
-        directories.reverse()
-    else:
-        directories.sort(key=operator.attrgetter('name'), reverse=True)
-
-    # Set correct owner, mtime and filemode on directories.
-    for tarinfo in directories:
-        dirpath = os.path.join(path, tarinfo.name)
-        try:
-            self.chown(tarinfo, dirpath)
-            self.utime(tarinfo, dirpath)
-            self.chmod(tarinfo, dirpath)
-        except ExtractError:
-            e = sys.exc_info()[1]
-            if self.errorlevel > 1:
-                raise
-            else:
-                self._dbg(1, "tarfile: %s" % e)
-
-
-def _build_install_args(options):
-    """
-    Build the arguments to 'python setup.py install' on the distribute package
-    """
-    install_args = []
-    if options.user_install:
-        if sys.version_info < (2, 6):
-            log.warn("--user requires Python 2.6 or later")
-            raise SystemExit(1)
-        install_args.append('--user')
-    return install_args
-
-def _parse_args():
-    """
-    Parse the command line for options
-    """
-    parser = optparse.OptionParser()
-    parser.add_option(
-        '--user', dest='user_install', action='store_true', default=False,
-        help='install in user site package (requires Python 2.6 or later)')
-    parser.add_option(
-        '--download-base', dest='download_base', metavar="URL",
-        default=DEFAULT_URL,
-        help='alternative URL from where to download the distribute package')
-    options, args = parser.parse_args()
-    # positional arguments are ignored
-    return options
-
-def main(version=DEFAULT_VERSION):
-    """Install or upgrade setuptools and EasyInstall"""
-    options = _parse_args()
-    tarball = download_setuptools(download_base=options.download_base)
-    return _install(tarball, _build_install_args(options))
-
-if __name__ == '__main__':
-    sys.exit(main())
diff --git a/doc/.DS_Store b/doc/.DS_Store
deleted file mode 100644
index d04617eddd91..000000000000
Binary files a/doc/.DS_Store and /dev/null differ
diff --git a/doc/Makefile b/doc/Makefile
new file mode 100644
index 000000000000..baed196a3ee2
--- /dev/null
+++ b/doc/Makefile
@@ -0,0 +1,50 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS    = -W --keep-going
+SPHINXBUILD   = python -msphinx
+SPHINXPROJ    = matplotlib
+SOURCEDIR     = .
+BUILDDIR      = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# workaround because sphinx does not completely clean up (#11139)
+clean:
+	@$(SPHINXBUILD) -M clean "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+	rm -rf "$(SOURCEDIR)/build"
+	rm -rf "$(SOURCEDIR)/_tags"
+	rm -rf "$(SOURCEDIR)/api/_as_gen"
+	rm -rf "$(SOURCEDIR)/gallery"
+	rm -rf "$(SOURCEDIR)/plot_types"
+	rm -rf "$(SOURCEDIR)/tutorials"
+	rm -rf "$(SOURCEDIR)/users/explain"
+	rm -rf "$(SOURCEDIR)/savefig"
+	rm -rf "$(SOURCEDIR)/sphinxext/__pycache__"
+	rm -f $(SOURCEDIR)/_static/constrained_layout*.png
+	rm -f $(SOURCEDIR)/sg_execution_times.rst
+
+show:
+	@python -c "import webbrowser; webbrowser.open_new_tab('file://$(shell pwd)/build/html/index.html')"
+
+html-noplot:
+	$(SPHINXBUILD) -D plot_gallery=0 -b html $(SOURCEDIR) $(BUILDDIR)/html $(SPHINXOPTS) $(O)
+	@echo
+	@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
+
+# This will skip the subdirectories listed in .mpl_skip_subdirs.yaml If
+# this file does not exist, one will be created for you.  This option useful
+# to quickly build parts of the docs, but the resulting build will not
+# have all the crosslinks etc.
+html-skip-subdirs:
+	$(SPHINXBUILD) -D skip_sub_dirs=1 -b html $(SOURCEDIR) $(BUILDDIR)/html $(SPHINXOPTS) $(O)
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/doc/README.txt b/doc/README.txt
index 51c4b9093edd..c34dbd769712 100644
--- a/doc/README.txt
+++ b/doc/README.txt
@@ -1,53 +1,66 @@
-maptlotlib documentation
+Matplotlib documentation
 ========================
 
-This is the top level build directory for the matplotlib
-documentation.  All of the documentation is written using sphinx, a
-python documentation system built on top of ReST.  This directory contains
+Building the documentation
+--------------------------
 
+See :file:`doc/devel/documenting_mpl.rst` for instructions to build the docs.
 
-* users - the user documentation, e.g., plotting tutorials, configuration
-  tips, etc.
+Organization
+------------
 
-* devel - documentation for matplotlib developers
+This is the top level directory for the Matplotlib
+documentation.  All of the documentation is written using Sphinx, a
+python documentation system based on reStructuredText.  This directory contains the
+following
 
-* faq - frequently asked questions
+Files
+^^^^^
 
-* api - placeholders to automatically generate the api documentation
+* index.rst - the top level include document (and landing page) for the Matplotlib docs
 
-* mpl_toolkits - documentation of individual toolkits that ship with
-  matplotlib
+* conf.py - the sphinx configuration
 
-* make.py - the build script to build the html or PDF docs
+* docutils.conf - htmnl output configuration
 
-* index.rst - the top level include document for matplotlib docs
+* Makefile and make.bat - entry points for building the docs
 
-* conf.py - the sphinx configuration
+* matplotlibrc - rcParam configuration for docs
+
+* missing-references.json - list of known missing/broken references
+
+
+Content folders
+^^^^^^^^^^^^^^^
+
+* api - templates for generating the api documentation
+
+* devel - documentation for contributing to Matplotlib
+
+* project - about Matplotlib, e.g. mission, code of conduct, licenses, history, etc.
+
+* users - usage documentation, e.g., installation, tutorials, faq, explanations, etc.
+
+* thirdpartypackages - redirect to <https://matplotlib.org/mpl-third-party/>
 
-* _static - used by the sphinx build system
+Build folders
+^^^^^^^^^^^^^
 
-* _templates - used by the sphinx build system
+* _static - supplementary files; e.g. images, CSS, etc.
 
-* sphinxext - Sphinx extensions for the mpl docs
+* _templates - Sphinx page templates
 
-* mpl_examples - a link to the matplotlib examples in case any
-  documentation wants to literal include them
+* sphinxext - Sphinx extensions for the Matplotlib docs
 
-To build the HTML documentation, install sphinx (1.0 or greater
-required), then type "python make.py html" in this directory.  Wait
-for the initial run (which builds the example gallery) to be done,
-then run "python make.py html" again. The top file of the results will
-be ./build/html/index.html
+Symlinks
+--------
 
-Note that Sphinx uses the installed version of the package to build
-the documentation, so matplotlib must be installed *before* the docs
-can be generated. Even if that is the case, one of the files needed
-to do this, '../lib/matplotlib/mpl-data/matplotlibrc', is not version
-controlled, but created when matplotlib is built. This means that the
-documentation cannot be generated immediately after checking out the
-source code, even if matplotlib is installed on your system: you will
-have to run ``python setup.py build`` first.
+During the documentation build, sphinx-gallery creates symlinks from the source folders
+in `/galleries` to target_folders in '/doc'; therefore ensure that you are editing the
+real files rather than the symbolic links.
 
-To build a smaller version of the documentation (without
-high-resolution PNGs and PDF examples), type "python make.py --small
-html".
+Source files -> symlink:
+* galleries/tutorials -> doc/tutorials
+* galleries/plot_types -> doc/plot_types
+* galleries/examples -> doc/gallery
+* galleries/users_explain -> doc/users/explain
diff --git a/doc/_embedded_plots/axes_margins.py b/doc/_embedded_plots/axes_margins.py
new file mode 100644
index 000000000000..d026840c3c15
--- /dev/null
+++ b/doc/_embedded_plots/axes_margins.py
@@ -0,0 +1,42 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(6.5, 4))
+x = np.linspace(0, 1, 33)
+y = -np.sin(x * 2*np.pi)
+ax.plot(x, y, 'o')
+ax.margins(0.5, 0.2)
+ax.set_title("margins(x=0.5, y=0.2)")
+
+# fix the Axes limits so that the following helper drawings
+# cannot change them further.
+ax.set(xlim=ax.get_xlim(), ylim=ax.get_ylim())
+
+
+def arrow(p1, p2, **props):
+    ax.annotate("", p1, p2,
+                arrowprops=dict(arrowstyle="<->", shrinkA=0, shrinkB=0, **props))
+
+
+axmin, axmax = ax.get_xlim()
+aymin, aymax = ax.get_ylim()
+xmin, xmax = x.min(), x.max()
+ymin, ymax = y.min(), y.max()
+
+y0 = -0.8
+ax.axvspan(axmin, xmin, color=("orange", 0.1))
+ax.axvspan(xmax, axmax, color=("orange", 0.1))
+arrow((xmin, y0), (xmax, y0), color="sienna")
+arrow((xmax, y0), (axmax, y0), color="orange")
+ax.text((xmax + axmax)/2, y0+0.05, "x margin\n* x data range",
+        ha="center", va="bottom", color="orange")
+ax.text(0.55, y0+0.1, "x data range", va="bottom", color="sienna")
+
+x0 = 0.1
+ax.axhspan(aymin, ymin, color=("tab:green", 0.1))
+ax.axhspan(ymax, aymax, color=("tab:green", 0.1))
+arrow((x0, ymin), (x0, ymax), color="darkgreen")
+arrow((x0, ymax), (x0, aymax), color="tab:green")
+ax.text(x0, (ymax + aymax) / 2, "  y margin * y data range",
+        va="center", color="tab:green")
+ax.text(x0, 0.5, "  y data range", color="darkgreen")
diff --git a/doc/_embedded_plots/figure_subplots_adjust.py b/doc/_embedded_plots/figure_subplots_adjust.py
new file mode 100644
index 000000000000..6f99a3febcdc
--- /dev/null
+++ b/doc/_embedded_plots/figure_subplots_adjust.py
@@ -0,0 +1,34 @@
+import matplotlib.pyplot as plt
+
+
+fig, axs = plt.subplots(2, 2, figsize=(6.5, 4))
+fig.set_facecolor('lightblue')
+fig.subplots_adjust(0.1, 0.1, 0.9, 0.9, 0.4, 0.4)
+
+overlay = fig.add_axes([0, 0, 1, 1], zorder=100)
+overlay.axis("off")
+xycoords='figure fraction'
+arrowprops=dict(arrowstyle="<->", shrinkA=0, shrinkB=0)
+
+for ax in axs.flat:
+    ax.set(xticks=[], yticks=[])
+
+overlay.annotate("", (0, 0.75), (0.1, 0.75),
+                 xycoords=xycoords, arrowprops=arrowprops)  # left
+overlay.annotate("", (0.435, 0.25), (0.565, 0.25),
+                 xycoords=xycoords, arrowprops=arrowprops)  # wspace
+overlay.annotate("", (0, 0.8), (0.9, 0.8),
+                 xycoords=xycoords, arrowprops=arrowprops)  # right
+fig.text(0.05, 0.7, "left", ha="center")
+fig.text(0.5, 0.3, "wspace", ha="center")
+fig.text(0.05, 0.83, "right", ha="center")
+
+overlay.annotate("", (0.75, 0), (0.75, 0.1),
+                 xycoords=xycoords, arrowprops=arrowprops)  # bottom
+overlay.annotate("", (0.25, 0.435), (0.25, 0.565),
+                 xycoords=xycoords, arrowprops=arrowprops)  # hspace
+overlay.annotate("", (0.8, 0), (0.8, 0.9),
+                 xycoords=xycoords, arrowprops=arrowprops)  # top
+fig.text(0.65, 0.05, "bottom", va="center")
+fig.text(0.28, 0.5, "hspace", va="center")
+fig.text(0.82, 0.05, "top", va="center")
diff --git a/doc/_embedded_plots/grouped_bar.py b/doc/_embedded_plots/grouped_bar.py
new file mode 100644
index 000000000000..f02e269328d2
--- /dev/null
+++ b/doc/_embedded_plots/grouped_bar.py
@@ -0,0 +1,15 @@
+import matplotlib.pyplot as plt
+
+categories = ['A', 'B']
+data0 = [1.0, 3.0]
+data1 = [1.4, 3.4]
+data2 = [1.8, 3.8]
+
+fig, ax = plt.subplots(figsize=(4, 2.2))
+ax.grouped_bar(
+    [data0, data1, data2],
+    tick_labels=categories,
+    labels=['dataset 0', 'dataset 1', 'dataset 2'],
+    colors=['#1f77b4', '#58a1cf', '#abd0e6'],
+)
+ax.legend()
diff --git a/doc/_embedded_plots/hatch_classes.py b/doc/_embedded_plots/hatch_classes.py
new file mode 100644
index 000000000000..cb9cd7d4b356
--- /dev/null
+++ b/doc/_embedded_plots/hatch_classes.py
@@ -0,0 +1,28 @@
+import matplotlib.pyplot as plt
+from matplotlib.patches import Rectangle
+
+fig, ax = plt.subplots()
+
+pattern_to_class = {
+    '/': 'NorthEastHatch',
+    '\\': 'SouthEastHatch',
+    '|': 'VerticalHatch',
+    '-': 'HorizontalHatch',
+    '+': 'VerticalHatch + HorizontalHatch',
+    'x': 'NorthEastHatch + SouthEastHatch',
+    'o': 'SmallCircles',
+    'O': 'LargeCircles',
+    '.': 'SmallFilledCircles',
+    '*': 'Stars',
+}
+
+for i, (hatch, classes) in enumerate(pattern_to_class.items()):
+    r = Rectangle((0.1, i+0.5), 0.8, 0.8, fill=False, hatch=hatch*2)
+    ax.add_patch(r)
+    h = ax.annotate(f"'{hatch}'", xy=(1.2, .5), xycoords=r,
+                    family='monospace', va='center', ha='left')
+    ax.annotate(pattern_to_class[hatch], xy=(1.5, .5), xycoords=h,
+                family='monospace', va='center', ha='left', color='tab:blue')
+
+ax.set(xlim=(0, 5), ylim=(0, i+1.5), yinverted=True)
+ax.set_axis_off()
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deleted file mode 100644
index 48abd2e57626..000000000000
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diff --git a/doc/_static/anatomy.png b/doc/_static/anatomy.png
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diff --git a/doc/_static/basemap_contour1.png b/doc/_static/basemap_contour1.png
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index 28198ab6d19f..000000000000
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diff --git a/doc/_static/boxplot_explanation.png b/doc/_static/boxplot_explanation.png
deleted file mode 100644
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diff --git a/doc/_static/cartopy_hurricane_katrina_01_00.png b/doc/_static/cartopy_hurricane_katrina_01_00.png
deleted file mode 100644
index b50ec001ec01..000000000000
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diff --git a/doc/_static/cm_fontset.png b/doc/_static/cm_fontset.png
deleted file mode 100644
index 328ba1348fa1..000000000000
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diff --git a/doc/_static/contents.png b/doc/_static/contents.png
deleted file mode 100644
index 7fb82154a174..000000000000
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diff --git a/doc/_static/demo_axes_grid.png b/doc/_static/demo_axes_grid.png
deleted file mode 100644
index 9af9fdfe6380..000000000000
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diff --git a/doc/_static/eeg_large.png b/doc/_static/eeg_large.png
deleted file mode 100644
index 6224f4c2de60..000000000000
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diff --git a/doc/_static/eeg_small.png b/doc/_static/eeg_small.png
deleted file mode 100644
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diff --git a/doc/_static/fa/LICENSE b/doc/_static/fa/LICENSE
new file mode 100644
index 000000000000..ea0d11539513
--- /dev/null
+++ b/doc/_static/fa/LICENSE
@@ -0,0 +1,5 @@
+Font Awesome SVG Icons are covered by CC BY 4.0 License.
+
+https://fontawesome.com/license/free
+
+Icons are based on Font Awesome 5.11.2 and colors have been adapted.
diff --git a/doc/_static/fa/discourse-brands.svg b/doc/_static/fa/discourse-brands.svg
new file mode 100644
index 000000000000..3b8e2e0fab0f
--- /dev/null
+++ b/doc/_static/fa/discourse-brands.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fab" data-icon="discourse" class="svg-inline--fa fa-discourse fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="#aaa" d="M225.9 32C103.3 32 0 130.5 0 252.1 0 256 .1 480 .1 480l225.8-.2c122.7 0 222.1-102.3 222.1-223.9C448 134.3 348.6 32 225.9 32zM224 384c-19.4 0-37.9-4.3-54.4-12.1L88.5 392l22.9-75c-9.8-18.1-15.4-38.9-15.4-61 0-70.7 57.3-128 128-128s128 57.3 128 128-57.3 128-128 128z"></path></svg>
diff --git a/doc/_static/fa/envelope-regular.svg b/doc/_static/fa/envelope-regular.svg
new file mode 100644
index 000000000000..9f82026d241c
--- /dev/null
+++ b/doc/_static/fa/envelope-regular.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="far" data-icon="envelope" class="svg-inline--fa fa-envelope fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="#aaa" d="M464 64H48C21.49 64 0 85.49 0 112v288c0 26.51 21.49 48 48 48h416c26.51 0 48-21.49 48-48V112c0-26.51-21.49-48-48-48zm0 48v40.805c-22.422 18.259-58.168 46.651-134.587 106.49-16.841 13.247-50.201 45.072-73.413 44.701-23.208.375-56.579-31.459-73.413-44.701C106.18 199.465 70.425 171.067 48 152.805V112h416zM48 400V214.398c22.914 18.251 55.409 43.862 104.938 82.646 21.857 17.205 60.134 55.186 103.062 54.955 42.717.231 80.509-37.199 103.053-54.947 49.528-38.783 82.032-64.401 104.947-82.653V400H48z"></path></svg>
diff --git a/doc/_static/fa/github-brands.svg b/doc/_static/fa/github-brands.svg
new file mode 100644
index 000000000000..52e76df0df4a
--- /dev/null
+++ b/doc/_static/fa/github-brands.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fab" data-icon="github" class="svg-inline--fa fa-github fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><path fill="#aaa" d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg>
diff --git a/doc/_static/fa/gitter-brands.svg b/doc/_static/fa/gitter-brands.svg
new file mode 100644
index 000000000000..f1d59e045c03
--- /dev/null
+++ b/doc/_static/fa/gitter-brands.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fab" data-icon="gitter" class="svg-inline--fa fa-gitter fa-w-12" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"><path fill="#aaa" d="M66.4 322.5H16V0h50.4v322.5zM166.9 76.1h-50.4V512h50.4V76.1zm100.6 0h-50.4V512h50.4V76.1zM368 76h-50.4v247H368V76z"></path></svg>
diff --git a/doc/_static/fa/hashtag-solid.svg b/doc/_static/fa/hashtag-solid.svg
new file mode 100644
index 000000000000..c7c033faeac2
--- /dev/null
+++ b/doc/_static/fa/hashtag-solid.svg
@@ -0,0 +1 @@
+<svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="hashtag" class="svg-inline--fa fa-hashtag fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="#aaa" d="M440.667 182.109l7.143-40c1.313-7.355-4.342-14.109-11.813-14.109h-74.81l14.623-81.891C377.123 38.754 371.468 32 363.997 32h-40.632a12 12 0 0 0-11.813 9.891L296.175 128H197.54l14.623-81.891C213.477 38.754 207.822 32 200.35 32h-40.632a12 12 0 0 0-11.813 9.891L132.528 128H53.432a12 12 0 0 0-11.813 9.891l-7.143 40C33.163 185.246 38.818 192 46.289 192h74.81L98.242 320H19.146a12 12 0 0 0-11.813 9.891l-7.143 40C-1.123 377.246 4.532 384 12.003 384h74.81L72.19 465.891C70.877 473.246 76.532 480 84.003 480h40.632a12 12 0 0 0 11.813-9.891L151.826 384h98.634l-14.623 81.891C234.523 473.246 240.178 480 247.65 480h40.632a12 12 0 0 0 11.813-9.891L315.472 384h79.096a12 12 0 0 0 11.813-9.891l7.143-40c1.313-7.355-4.342-14.109-11.813-14.109h-74.81l22.857-128h79.096a12 12 0 0 0 11.813-9.891zM261.889 320h-98.634l22.857-128h98.634l-22.857 128z"></path></svg>
diff --git a/doc/_static/fa/plus-square-regular.svg b/doc/_static/fa/plus-square-regular.svg
new file mode 100644
index 000000000000..3303fd81116a
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diff --git a/doc/_static/mpl.css b/doc/_static/mpl.css
index 545997d29c82..25bad17c3938 100644
--- a/doc/_static/mpl.css
+++ b/doc/_static/mpl.css
@@ -1,652 +1,222 @@
-/*
- * Alternate Sphinx design
- * Originally created by Armin Ronacher for Werkzeug, adapted by Georg Brandl.
- */
-
-body {
-    font-family: "Helvetica Neue", Helvetica, 'Lucida Grande', 'Lucida Sans Unicode', 'Geneva', 'Verdana', sans-serif;
-    font-size: 14px;
-    letter-spacing: -0.01em;
-    line-height: 150%;
-    text-align: center;
-    background-color: #BFD1D4;
-    color: black;
-    padding: 0;
-    border: 1px solid #aaa;
-    color: #333;
-    margin: 0px 80px 0px 80px;
-    min-width: 740px;
-}
-
-a {
-    color: #CA7900;
-    text-decoration: none;
-}
-
-strong {
-  font-weight: strong;
+:root {
+    --pst-color-link: var(--pst-color-primary);
+    --pst-color-link-hover: var(--pst-color-secondary);
+    --sd-color-primary: var(--pst-color-primary);
+    --sd-color-primary-text: var(--pst-color-text-base);
+    --sd-color-secondary: #ee9040;
+    --sd-color-success: #28a745;
+    --sd-color-dark: #323232;
+    --sd-color-danger: #dc3545;
+    --sd-color-light: #c9c9c9;
+}
+
+.simple li>p {
+    margin: 0;
 }
 
-a:hover {
-    color: #2491CF;
+/* multi column TOC */
+.contents ul {
+    list-style-type: none;
+    padding-left: 2em;
 }
 
-pre {
-    font-family:  Monaco, Menlo, Consolas, 'Courier New', monospace;
-    font-size: 0.90em;
-    border-bottom-left-radius: 4px;
-    border-bottom-right-radius: 4px;
-    border-top-left-radius: 4px;
-    border-top-right-radius: 4px;
-    letter-spacing: 0.015em;
-    padding: 1em;
-    border: 1px solid #ccc;
-    background-color: #f8f8f8;
-    line-height: 140%;
+.contents > ul {
+    padding-left: 0;
 }
 
-td.linenos pre {
-    padding: 0.5em 0;
-    border: 0;
-    background-color: transparent;
-    color: #aaa;
+.multicol-toc > ul {
+    column-width: 250px;
+    column-gap: 60px;
+    -webkit-column-width: 250px;
+    -moz-column-width: 250px;
+    column-rule: 1px solid #ccc;
 }
 
-table.highlighttable {
-    margin-left: 0.5em;
+.multicol-toc > li {
+       /* break inside is not yet broadly supported, but we just try */
+    break-inside: avoid-column;
+    -moz-break-inside: avoid-column;
+    -webkit-break-inside: avoid-column;
 }
 
-table.highlighttable td {
-    padding: 0 0.5em 0 0.5em;
+.contents > ul > li > a {
+    font-size: 1.0em;
 }
 
-cite, code, tt {
-    font-family: 'Consolas', 'Deja Vu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
-    font-size: 0.95em;
-    letter-spacing: 0.01em;
-}
+/* Hide red ¶ between the thumbnail and caption in gallery
 
-hr {
-    border: 1px solid #abc;
-    margin: 2em;
+Due the way that sphinx-gallery floats its captions the perma-link
+does not float with it.
+*/
+.sphx-glr-thumbcontainer p.caption:hover > a.headerlink{
+    visibility: hidden;
 }
 
-tt {
-    background-color: #f2f2f2;
-    border-bottom: 1px solid #ddd;
-    color: #333;
+/* slightly reduce horizontal margin compared to gallery.css to
+ * get four columns of thumbnails in the pydata-sphinx-theme. */
+.sphx-glr-thumbcontainer {
+    margin: 5px 2px;
 }
 
-tt.descname {
-    background-color: transparent;
-    font-weight: bold;
-    font-size: 1.2em;
-    border: 0;
+html[data-theme="dark"] .sphx-glr-thumbcontainer {
+    background-color: rgb(63, 63, 63);
 }
 
-tt.descclassname {
-    background-color: transparent;
-    border: 0;
+/* Set a fixed height so that lazy loading does not change heights. Without a fixed
+ * height lazy loading of images interferes with anchor links: Clicking a link goes to
+ * a certain position, but then the loaded images add content and move the anchor to a
+ * different position.
+ */
+.sphx-glr-thumbcontainer img {
+    height: 112px;
 }
 
-tt.xref {
-    background-color: transparent;
-    font-weight: bold;
-    border: 0;
+/* hide download buttons in example headers
+ * https://sphinx-gallery.github.io/stable/advanced.html#hide-the-download-buttons-in-the-example-headers
+ */
+div.sphx-glr-download-link-note {
+    display: none;
 }
 
-a tt {
-    background-color: transparent;
-    font-weight: bold;
+/* re-style the download button */
+div.sphx-glr-download a {
+    background-color: #E3F0F6;
+    background-image: none;
+    color: #11557c;
     border: 0;
-    color: #CA7900;
 }
 
-a tt:hover {
-    color: #2491CF;
+div.sphx-glr-download a:hover {
+    background-color: #BCD4DF;
 }
 
-dl {
-    margin-bottom: 15px;
+/* Do not fold multiple figures in examples into two column layout. */
+img.sphx-glr-multi-img {
+    max-width: 100%;
 }
 
-dd p {
-    margin-top: 1px;
+table.property-table th,
+table.property-table td {
+    padding: 4px 10px;
 }
 
-dd ul, dd table {
-    margin-bottom: 10px;
-}
-
-dd {
-    margin-top: 3px;
-    margin-bottom: 10px;
-    margin-left: 30px;
-}
-
-.refcount {
-    color: #060;
-}
-
-dt:target,
-.highlight {
-    background-color: #ffffee;
+/* Fix selection of parameter names; remove when fixed in the theme
+ * https://github.com/sphinx-doc/sphinx/pull/9763
+ */
+.classifier:before {
+    display: inline-block;
+    margin: 0 0.5em;
 }
 
-dl.method, dl.attribute {
-    border-top: 1px solid #aaa;
+/* Make the code examples in the API reference index the same height. */
+.api-interface-example pre {
+    min-height: 6.5rem;
 }
 
-dl.glossary dt {
-    font-weight: bold;
-    font-size: 1.1em;
+/* Make inheritance images have a scroll bar if necessary. */
+div.graphviz {
+    border: 1px solid lightgrey;
+    max-height: 50em;
+    overflow: auto;
 }
-
-pre a {
-    color: inherit;
-    text-decoration: none;
+img.graphviz.inheritance {
+    max-width: none;
 }
 
-.first {
-    margin-top: 0 !important;
+/* Make tables in notes horizontally scrollable if too large. */
+div.wide-table {
+    overflow-x: auto;
 }
 
-div.document {
-    background-color: white;
-    text-align: left;
-    background-image: url(contents.png);
-    background-repeat: repeat-x;
+div.wide-table table th.stub {
+    background-color: var(--pst-color-background);
+    background-clip: padding-box;
+    left: 0;
+    position: sticky;
 }
 
-/*
-div.documentwrapper {
-    width: 100%;
-}
-*/
+.imrot-img {
+    display: flex;
+    margin: auto;
+    max-width:15em;
+    align-self: center;
+  }
 
-div.clearer {
-    clear: both;
-}
+  .imrot-cap {
+    text-align: center;
+    font-style: italic;
+    font-size:  large;
+  }
 
-div.related h3 {
-    display: none;
-}
 
-div.related ul {
-    background-image: url(navigation.png);
-    height: 2em;
+.checklist {
     list-style: none;
-    border-top: 1px solid #ddd;
-    border-bottom: 1px solid #ddd;
-    margin: 0;
-    padding-left: 10px;
-}
-
-div.related ul li {
-    margin: 0;
     padding: 0;
-    height: 2em;
-    float: left;
-}
-
-div.related ul li.right {
-    float: right;
-    margin-right: 5px;
-}
-
-div.related ul li a {
     margin: 0;
-    padding: 0 5px 0 5px;
-    line-height: 1.75em;
-    color: #EE9816;
 }
-
-div.related ul li a:hover {
-    color: #3CA8E7;
+.checklist li {
+    margin-left: 24px;
+    padding-left: 23px;
+    margin-right: 6px;
 }
-
-div.body {
-    margin: 0;
-    padding: 0.5em 20px 20px 20px;
+.checklist li:before {
+    content: "\2610\2001";
+    margin-left: -24px;
 }
-
-div.bodywrapper {
-    margin: 0 240px 0 0;
-    border-right: 1px solid #ccc;
-}
-
-div.sphinxsidebar {
-    margin: 0;
-    padding: 0.5em 15px 15px 0;
-    width: 210px;
-    float: right;
-    text-align: left;
-/*    margin-left: -100%; */
-}
-
-div.sphinxsidebar h4, div.sphinxsidebar h3 {
-    margin: 1em 0 0.5em 0;
-    font-size: 0.9em;
-    padding: 0.1em 0 0.1em 0.5em;
-    color: white;
-    border: 1px solid #86989B;
-    background-color: #AFC1C4;
-}
-
-div.sphinxsidebar ul {
-    padding-left: 1.5em;
-    margin-top: 7px;
-    list-style: none;
-    padding: 0;
-    line-height: 130%;
-}
-
-div.sphinxsidebar ul ul {
-    list-style: square;
-    margin-left: 20px;
-}
-
-p {
-    margin: 0.8em 0 0.8em 0;
-}
-
-p.rubric {
-    font-weight: bold;
-}
-
-h1 {
-    margin: 0.5em 0em;
-    padding-top: 0.5em;
-    font-size: 2em;
-    color: #11557C;
-}
-
-h2 {
-    margin: 0.5em 0 0.2em 0;
-    padding-top: 0.5em;
-    font-size: 1.7em;
-    padding: 0;
-}
-
-h3 {
-    margin: 1em 0 -0.3em 0;
-    font-size: 1.2em;
-}
-
-h1 a, h2 a, h3 a, h4 a, h5 a, h6 a {
-    color: black!important;
-}
-
-h1 a.anchor, h2 a.anchor, h3 a.anchor, h4 a.anchor, h5 a.anchor, h6 a.anchor {
-    display: none;
-    margin: 0 0 0 0.3em;
-    padding: 0 0.2em 0 0.2em;
-    color: #aaa!important;
-}
-
-h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor,
-h5:hover a.anchor, h6:hover a.anchor {
+.checklist li p {
     display: inline;
 }
 
-h1 a.anchor:hover, h2 a.anchor:hover, h3 a.anchor:hover, h4 a.anchor:hover,
-h5 a.anchor:hover, h6 a.anchor:hover {
-    color: #777;
-    background-color: #eee;
-}
-
-table {
-    border-collapse: collapse;
-    margin: 0 -0.5em 0 -0.5em;
-}
-
-table td, table th {
-    padding: 0.2em 0.5em 0.2em 0.5em;
-}
-
-div.footer {
-    background-color: #E3EFF1;
-    color: #86989B;
-    padding: 3px 8px 3px 0;
-    clear: both;
-    font-size: 0.8em;
-    text-align: right;
-}
-
-div.footer a {
-    color: #86989B;
-    text-decoration: underline;
-}
-
-div.pagination {
-    margin-top: 2em;
-    padding-top: 0.5em;
-    border-top: 1px solid black;
-    text-align: center;
-}
-
-div.sphinxsidebar ul.toc {
-    margin: 1em 0 1em 0;
-    padding: 0 0 0 0.5em;
-    list-style: none;
-}
-
-div.sphinxsidebar ul.toc li {
-    margin: 0.5em 0 0.5em 0;
-    font-size: 0.9em;
-    line-height: 130%;
-}
-
-div.sphinxsidebar ul.toc li p {
-    margin: 0;
-    padding: 0;
-}
-
-div.sphinxsidebar ul.toc ul {
-    margin: 0.2em 0 0.2em 0;
-    padding: 0 0 0 1.8em;
-}
-
-div.sphinxsidebar ul.toc ul li {
-    padding: 0;
-}
-
-div.admonition, div.warning {
-    font-size: 0.9em;
-}
-
-div.admonition p, div.warning p {
-    margin: 0.5em 1em 0.5em 1em;
-    padding: 0;
-}
-
-div.admonition pre, div.warning pre {
-    margin: 0.4em 1em 0.4em 1em;
-}
-
-div.admonition p.admonition-title,
-div.warning p.admonition-title {
-    margin: 0;
-    font-weight: bold;
-    font-size: 14px;
-}
-
-div.warning {
-    border: 1px solid #940000;
-}
+/* sdd is a custom class that strips out styling from dropdowns
+ * Example usage:
+ *
+ * .. dropdown::
+ *   :class-container: sdd
+ *
+ */
 
-div.warning p.admonition-title {
-    background-color: #CF0000;
-    border-bottom-color: #940000;
+.sdd.sd-dropdown {
+    box-shadow: none!important;
 }
 
-div.admonition ul, div.admonition ol,
-div.warning ul, div.warning ol {
-    margin: 0.1em 0.5em 0.5em 3em;
-    padding: 0;
+.sdd.sd-dropdown.sd-card{
+    border-style: solid !important;
+    border-color: var(--pst-color-border) !important;
+    border-width: thin !important;
+    border-radius: .05
 }
 
-div.versioninfo {
-    margin: 1em 0 0 0;
-    border: 1px solid #ccc;
-    background-color: #DDEAF0;
-    padding: 8px;
-    line-height: 1.3em;
-    font-size: 0.9em;
+.sdd.sd-dropdown .sd-card-header{
+    --pst-sd-dropdown-color: none;
 }
 
-
-a.headerlink {
-    color: #c60f0f!important;
-    font-size: 1em;
-    margin-left: 6px;
-    padding: 0 4px 0 4px;
-    text-decoration: none!important;
-    visibility: hidden;
+.sdd.sd-dropdown .sd-card-header +.sd-card-body{
+    --pst-sd-dropdown-color: none;
 }
 
-h1:hover > a.headerlink,
-h2:hover > a.headerlink,
-h3:hover > a.headerlink,
-h4:hover > a.headerlink,
-h5:hover > a.headerlink,
-h6:hover > a.headerlink,
-dt:hover > a.headerlink {
-    visibility: visible;
+/* section-toc is a custom class that removes the page title from a toctree listing
+ * and shifts the resulting list left
+ * Example usage:
+ *
+ * .. rst-class:: section-toc
+ * .. toctree::
+ *
+ */
+ .section-toc.toctree-wrapper .toctree-l1>a{
+    display: none;
 }
-
-a.headerlink:hover {
-    background-color: #ccc;
-    color: white!important;
+.section-toc.toctree-wrapper .toctree-l1>ul{
+    padding-left: 0;
 }
 
-table.indextable td {
-    text-align: left;
-    vertical-align: top;
+.sidebar-cheatsheets {
+    margin-bottom: 3em;
 }
 
-table.indextable dl, table.indextable dd {
+.sidebar-cheatsheets > h3 {
     margin-top: 0;
-    margin-bottom: 0;
-}
-
-table.indextable tr.pcap {
-    height: 10px;
-}
-
-table.indextable tr.cap {
-    margin-top: 10px;
-    background-color: #f2f2f2;
-}
-
-img.toggler {
-    margin-right: 3px;
-    margin-top: 3px;
-    cursor: pointer;
-}
-
-img.inheritance {
-    border: 0px
-}
-
-form.pfform {
-    margin: 10px 0 20px 0;
-}
-
-table.contentstable {
-    width: 90%;
-}
-
-table.contentstable p.biglink {
-    line-height: 150%;
-}
-
-a.biglink {
-    font-size: 1.3em;
-}
-
-span.linkdescr {
-    font-style: italic;
-    padding-top: 5px;
-    font-size: 90%;
-}
-
-ul.search {
-    margin: 10px 0 0 20px;
-    padding: 0;
-}
-
-ul.search li {
-    padding: 5px 0 5px 20px;
-    background-image: url(file.png);
-    background-repeat: no-repeat;
-    background-position: 0 7px;
-}
-
-ul.search li a {
-    font-weight: bold;
-}
-
-ul.search li div.context {
-    color: #888;
-    margin: 2px 0 0 30px;
-    text-align: left;
-}
-
-ul.keywordmatches li.goodmatch a {
-    font-weight: bold;
-}
-
-table.docutils {
-    border-spacing: 2px;
-    border-collapse: collapse;
-    border-top-width: 1px;
-    border-right-width: 0px;
-    border-bottom-width: 1px;
-    border-left-width: 0px;
-}
-
-/* module summary table */
-.longtable.docutils {
-    font-size: 12px;
-    margin-bottom: 30px;
-    background-color: #ccc;
-}
-.longtable.docutils, .longtable.docutils td {
-    border-color: #ccc;
-}
-
-/* module summary table */
-.longtable.docutils {
-    font-size: 12px;
-    margin-bottom: 30px;
-}
-.longtable.docutils, .longtable.docutils td {
-    border-color: #ccc;
-}
-
-/* function and class description */
-.descclassname {
-    color: #aaa;
-    font-weight: normal;
-    font-family: monospace;
-}
-.descname {
-    font-family: monospace;
-}
-
-
-table.docutils th {
-    padding: 1px 8px 1px 5px;
-    background-color: #eee;
-    width: 100px;
-}
-
-table.docutils td {
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+                DOI
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
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+            <text x="108" y="14">
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+                DOI
+            </text>
+            <text x="108"
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+            <text x="108" y="14">
+                10.5281/zenodo.1202050
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+                DOI
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.1202077
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+            <text x="108" y="14">
+                10.5281/zenodo.1202077
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new file mode 100644
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="101"
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+            <text x="101" y="14">
+                10.5281/zenodo.12287
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+    </svg>
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new file mode 100644
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+<svg xmlns="http://www.w3.org/2000/svg"
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="101"
+            y="15" fill="#010101" fill-opacity=".3">
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+            <text x="101" y="14">
+                10.5281/zenodo.12400
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+    </svg>
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new file mode 100644
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+            <text x="16.1875" y="14">
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+            <text x="110.609375"
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new file mode 100644
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+            </text>
+            <text x="16.1875" y="14">
+                DOI
+            </text>
+            <text x="110.609375"
+            y="15" fill="#010101" fill-opacity=".3">
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
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new file mode 100644
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+                DOI
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+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.1420605
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new file mode 100644
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@@ -0,0 +1,35 @@
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+            <text x="16.1875" y="14">
+                DOI
+            </text>
+            <text x="110.609375"
+            y="15" fill="#010101" fill-opacity=".3">
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new file mode 100644
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+                DOI
+            </text>
+            <text x="16.1875" y="14">
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+            <text x="110.609375"
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+            </text>
+            <text x="16.1875" y="14">
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+            <text x="110.609375"
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+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
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+            <text x="108"
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+                DOI
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+            <text x="108"
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+            <text x="108" y="14">
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+            <text x="16" y="14">
+                DOI
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+            <text x="108"
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new file mode 100644
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+            <text x="101"
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+            <text x="16" y="14">
+                DOI
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+            <text x="108"
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+            <text x="108" y="14">
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+            <text x="101"
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new file mode 100644
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+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.5773480
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.5773480
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/61948.svg b/doc/_static/zenodo_cache/61948.svg
new file mode 100644
index 000000000000..8761c190e8f1
--- /dev/null
+++ b/doc/_static/zenodo_cache/61948.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="172" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="172" height="20">
+            <rect width="172" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h141v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h172v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="101"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.61948
+            </text>
+            <text x="101" y="14">
+                10.5281/zenodo.61948
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/6513224.svg b/doc/_static/zenodo_cache/6513224.svg
new file mode 100644
index 000000000000..fd54dfcb9abb
--- /dev/null
+++ b/doc/_static/zenodo_cache/6513224.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.6513224
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.6513224
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/6982547.svg b/doc/_static/zenodo_cache/6982547.svg
new file mode 100644
index 000000000000..6eb000d892da
--- /dev/null
+++ b/doc/_static/zenodo_cache/6982547.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.6982547
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.6982547
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7084615.svg b/doc/_static/zenodo_cache/7084615.svg
new file mode 100644
index 000000000000..9bb362063414
--- /dev/null
+++ b/doc/_static/zenodo_cache/7084615.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7084615
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7084615
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7162185.svg b/doc/_static/zenodo_cache/7162185.svg
new file mode 100644
index 000000000000..ea0966377194
--- /dev/null
+++ b/doc/_static/zenodo_cache/7162185.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7162185
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7162185
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7275322.svg b/doc/_static/zenodo_cache/7275322.svg
new file mode 100644
index 000000000000..2d0fd408b504
--- /dev/null
+++ b/doc/_static/zenodo_cache/7275322.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7275322
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7275322
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7527665.svg b/doc/_static/zenodo_cache/7527665.svg
new file mode 100644
index 000000000000..3c3e0b7a8b2a
--- /dev/null
+++ b/doc/_static/zenodo_cache/7527665.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7527665
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7527665
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7637593.svg b/doc/_static/zenodo_cache/7637593.svg
new file mode 100644
index 000000000000..4e91dea5e805
--- /dev/null
+++ b/doc/_static/zenodo_cache/7637593.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7637593
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7637593
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/7697899.svg b/doc/_static/zenodo_cache/7697899.svg
new file mode 100644
index 000000000000..b540a1909046
--- /dev/null
+++ b/doc/_static/zenodo_cache/7697899.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.7697899
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.7697899
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/8118151.svg b/doc/_static/zenodo_cache/8118151.svg
new file mode 100644
index 000000000000..e9d33ec5bf34
--- /dev/null
+++ b/doc/_static/zenodo_cache/8118151.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.8118151
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.8118151
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/8336761.svg b/doc/_static/zenodo_cache/8336761.svg
new file mode 100644
index 000000000000..24c222a8a5f5
--- /dev/null
+++ b/doc/_static/zenodo_cache/8336761.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.8336761
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.8336761
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_static/zenodo_cache/8347255.svg b/doc/_static/zenodo_cache/8347255.svg
new file mode 100644
index 000000000000..318d9e6bea73
--- /dev/null
+++ b/doc/_static/zenodo_cache/8347255.svg
@@ -0,0 +1,35 @@
+<svg xmlns="http://www.w3.org/2000/svg"
+     width="186" height="20">
+        <linearGradient id="b" x2="0" y2="100%">
+            <stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
+            <stop offset="1" stop-opacity=".1"/>
+        </linearGradient>
+        <mask id="a" width="186" height="20">
+            <rect width="186" height="20" rx="3"
+            fill="#fff"/>
+        </mask>
+        <g mask="url(#a)">
+            <path fill="#555" d="M0 0h31v20H0z" />
+            <path fill="#007ec6"
+            d="M31 0h155v20H31z"
+            />
+            <path fill="url(#b)" d="M0 0h186v20H0z" />
+        </g>
+        <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,
+        Verdana,Geneva,sans-serif" font-size="11">
+            <text x="16" y="15" fill="#010101"
+            fill-opacity=".3">
+                DOI
+            </text>
+            <text x="16" y="14">
+                DOI
+            </text>
+            <text x="108"
+            y="15" fill="#010101" fill-opacity=".3">
+                10.5281/zenodo.8347255
+            </text>
+            <text x="108" y="14">
+                10.5281/zenodo.8347255
+            </text>
+        </g>
+    </svg>
\ No newline at end of file
diff --git a/doc/_templates/automodule.rst b/doc/_templates/automodule.rst
new file mode 100644
index 000000000000..df3e8283f2f6
--- /dev/null
+++ b/doc/_templates/automodule.rst
@@ -0,0 +1,37 @@
+{{ fullname | escape | underline}}
+
+.. automodule:: {{ fullname }}
+   :no-members:
+   :no-inherited-members:
+
+{% block classes %}
+{% if classes %}
+
+Classes
+-------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree:
+
+{% for item in classes %}{% if item not in ['zip', 'map', 'reduce'] %}
+   {{ item }}{% endif %}{% endfor %}
+
+{% endif %}
+{% endblock %}
+
+{% block functions %}
+{% if functions %}
+
+Functions
+---------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree:
+
+{% for item in functions %}{% if item not in ['zip', 'map', 'reduce'] %}
+   {{ item }}{% endif %}{% endfor %}
+
+{% endif %}
+{% endblock %}
diff --git a/doc/_templates/autosummary.rst b/doc/_templates/autosummary.rst
new file mode 100644
index 000000000000..824dbe5b9a4b
--- /dev/null
+++ b/doc/_templates/autosummary.rst
@@ -0,0 +1,31 @@
+{{ fullname | escape | underline }}
+
+
+.. currentmodule:: {{ module }}
+
+
+{% if objtype in ['class'] %}
+
+.. auto{{ objtype }}:: {{ objname }}
+    :show-inheritance:
+    :special-members: __call__
+
+{% else %}
+.. auto{{ objtype }}:: {{ objname }}
+
+{% endif %}
+
+{% if objtype in ['class', 'method', 'function'] %}
+{% if objname in ['AxesGrid', 'Scalable', 'HostAxes', 'FloatingAxes',
+'ParasiteAxesAuxTrans', 'ParasiteAxes'] %}
+
+.. Filter out the above aliases to other classes, as sphinx gallery
+   creates no example file for those (sphinx-gallery/sphinx-gallery#365)
+
+{% else %}
+
+.. minigallery:: {{module}}.{{objname}}
+   :add-heading:
+
+{% endif %}
+{% endif %}
diff --git a/doc/_templates/autosummary_class_only.rst b/doc/_templates/autosummary_class_only.rst
new file mode 100644
index 000000000000..d10f1b375fd3
--- /dev/null
+++ b/doc/_templates/autosummary_class_only.rst
@@ -0,0 +1,12 @@
+{{ fullname | escape | underline }}
+
+
+.. currentmodule:: {{ module }}
+
+
+{% if objtype in ['class'] %}
+
+.. auto{{ objtype }}:: {{ objname }}
+    :no-members:
+
+{% endif %}
diff --git a/doc/_templates/cheatsheet_sidebar.html b/doc/_templates/cheatsheet_sidebar.html
new file mode 100644
index 000000000000..2ca6548ddd4d
--- /dev/null
+++ b/doc/_templates/cheatsheet_sidebar.html
@@ -0,0 +1,9 @@
+
+<div class="sidebar-cheatsheets">
+  <h3>Cheatsheets</h3>
+  <a href="https://matplotlib.org/cheatsheets/">
+    <img src="_static/mpl_cheatsheet1.png"
+         alt="Matplotlib cheatsheets"
+         srcset="_static/mpl_cheatsheet1.png 1x, _static/mpl_cheatsheet1_2x.png 2x"/>
+  </a>
+</div>
diff --git a/doc/_templates/citing.html b/doc/_templates/citing.html
deleted file mode 100644
index 167e5ca851fd..000000000000
--- a/doc/_templates/citing.html
+++ /dev/null
@@ -1,36 +0,0 @@
-{% extends "layout.html" %}
-{% set title = "Citing matplotlib" %}
-{% block body %}
-
-<h1>Citing matplotlib</h1>
-<p>
-If matplotlib contributes to a project that leads to a scientific publication,
-please acknowledge this fact by citing the project. You can use this
-BibTeX entry:
-</p>
-<pre>
-@Article{Hunter:2007,
-  Author    = {Hunter, J. D.},
-  Title     = {Matplotlib: A 2D graphics environment},
-  Journal   = {Computing In Science \& Engineering},
-  Volume    = {9},
-  Number    = {3},
-  Pages     = {90--95},
-  abstract  = {Matplotlib is a 2D graphics package used for Python
-  for application development, interactive scripting, and
-  publication-quality image generation across user
-  interfaces and operating systems.},
-  publisher = {IEEE COMPUTER SOC},
-  year      = 2007
-}
-</pre>
-
-
-<h2>DOIs</h2>
-<dl>
-  <dt>v1.4.2</dt><dd><a href="http://dx.doi.org/10.5281/zenodo.12400"><img src="https://zenodo.org/badge/doi/10.5281/zenodo.12400.png" alt="10.5281/zenodo.12400"></a></dd>
-  <dt>v1.4.1</dt><dd><a href="http://dx.doi.org/10.5281/zenodo.12287"><img src="https://zenodo.org/badge/doi/10.5281/zenodo.12287.png" alt="10.5281/zenodo.12287"></a></dd>
-  <dt>v1.4.0</dt><dd><a href="http://dx.doi.org/10.5281/zenodo.11451"><img src="https://zenodo.org/badge/doi/10.5281/zenodo.11451.png" alt="10.5281/zenodo.11451"></a></dd>
-</dl>
-
-{% endblock %}
diff --git a/doc/_templates/donate_sidebar.html b/doc/_templates/donate_sidebar.html
new file mode 100644
index 000000000000..071c92888c3c
--- /dev/null
+++ b/doc/_templates/donate_sidebar.html
@@ -0,0 +1,5 @@
+<div class="sidebar-donate">
+  <a class="sd-btn sd-btn-primary sd-fs-5 sd-px-5 sd-py-2" href="https://numfocus.org/donate-to-matplotlib" target="_blank">
+    Support Matplotlib
+  </a>
+</div>
diff --git a/doc/_templates/empty_sidebar.html b/doc/_templates/empty_sidebar.html
new file mode 100644
index 000000000000..2ebb29fad4dd
--- /dev/null
+++ b/doc/_templates/empty_sidebar.html
@@ -0,0 +1 @@
+<div class="sidebar-empty"></div>
diff --git a/doc/_templates/function.rst b/doc/_templates/function.rst
new file mode 100644
index 000000000000..0b0e8480d332
--- /dev/null
+++ b/doc/_templates/function.rst
@@ -0,0 +1,9 @@
+:mod:`{{module}}`.{{objname}}
+{{ underline }}====================
+
+.. currentmodule:: {{ module }}
+
+.. autofunction:: {{ objname }}
+
+.. minigallery:: {{module}}.{{objname}}
+   :add-heading:
diff --git a/doc/_templates/index.html b/doc/_templates/index.html
deleted file mode 100644
index 0d6f5754134b..000000000000
--- a/doc/_templates/index.html
+++ /dev/null
@@ -1,203 +0,0 @@
-{% extends "layout.html" %}
-{% set title = 'matplotlib: python plotting' %}
-
-{% block extrahead %}
-<script>
-function getSnippet(id, url) {
-  var req = false;
-  // For Safari, Firefox, and other non-MS browsers
-  if (window.XMLHttpRequest) {
-    try {
-      req = new XMLHttpRequest();
-    } catch (e) {
-      req = false;
-    }
-  } else if (window.ActiveXObject) {
-    // For Internet Explorer on Windows
-    try {
-      req = new ActiveXObject("Msxml2.XMLHTTP");
-    } catch (e) {
-      try {
-        req = new ActiveXObject("Microsoft.XMLHTTP");
-      } catch (e) {
-        req = false;
-      }
-    }
-  }
-  var element = document.getElementById(id);
-  if (req) {
-    // Synchronous request, wait till we have it all
-    req.open('GET', url, false);
-    req.send(null);
-    element.innerHTML = req.responseText;
-  }
-}
-</script>
-
- {{ super() }}
-{% endblock %}
-
-{% block body %}
-
-  <h1>Introduction</h1>
-
-  <p>matplotlib is a python 2D plotting library which produces
-  publication quality figures in a variety of hardcopy formats and
-  interactive environments across platforms.  matplotlib can be used
-  in python scripts, the python and <a
-  href="http://ipython.org">ipython</a> shell (ala
-  MATLAB<sup>&reg;<a name="matlab" href="#ftn.matlab">*</a></sup>
-  or
-  Mathematica<sup>&reg;<a name="mathematica"
-  href="#ftn.mathematica">&#8224;</a></sup>),
-  web application servers, and six graphical user
-  interface toolkits.</p>
-
-  <p align="center"><a href="{{ pathto('users/screenshots') }}"><img align="middle"
-  src="{{ pathto('_static/logo_sidebar_horiz.png', 1) }}" border="0"
-  alt="screenshots"/></a></p>
-
-  <p>matplotlib tries to make easy things easy and hard things possible.
-  You can generate plots, histograms, power spectra, bar charts,
-  errorcharts, scatterplots, etc, with just a few lines of code.
-  For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a>, <a href="{{ pathto('gallery') }}">thumbnail</a> gallery,  and
-    <a href="examples/index.html">examples</a> directory</p>
-
-<p>For simple plotting the <tt>pyplot</tt> interface provides a
-  MATLAB-like interface, particularly when combined
-  with <tt>IPython</tt>.  For the power user, you have full control
-  of line styles, font properties, axes properties, etc, via an object
-  oriented interface or via a set of functions familiar to MATLAB
-  users.</p>
-
-<div style="float: right; min-width: 450px; width: 50%; padding-left: 5%;">
-  <h1>John Hunter (1968-2012)</h1>
-  <table bgcolor="#ddddff">
-   <tr>
-    <td>
-      <img src="_static/John-hunter-crop-2.jpg" align="left" />
-    </td>
-    <td>
-      <p>
-      On August 28 2012, John D. Hunter, the creator of matplotlib, died
-      from complications arising from cancer treatment, after a brief but
-      intense battle with this terrible illness.  John is survived by his
-      wife Miriam, his three daughters Rahel, Ava and Clara, his sisters
-      Layne and Mary, and his mother Sarah.</p>
-
-      <p>
-      If you have benefited from John's many contributions, please say
-      thanks in the way that would matter most to him.  Please consider
-      making a donation to
-      the <a href="http://numfocus.org/johnhunter/">John Hunter Memorial
-      Fund</a>.</p>
-    </td>
-   </tr>
-  </table>
-</div>
-
-  <h1>Download</h1>
-
-  Visit the
-  <a href="http://matplotlib.org/downloads.html">matplotlib downloads
-  page</a>.
-
-  <h1>Documentation</h1>
-
-  This is the documentation for matplotlib version {{ version }}.
-
-  <p id="other_versions"></p>
-  <script>
-    getSnippet('other_versions', '/versions.html');
-  </script>
-
-  <p>Trying to learn how to do a particular kind of plot?  Check out
-  the <a href="gallery.html">gallery</a>, <a href="examples/index.html">examples</a>,
-  or the <a href="api/pyplot_summary.html">list of plotting
-  commands</a>.</p>
-
-  <h4>Other learning resources</h4>
-
-  <p>There are many <a href="{{ pathto('resources/index') }}">external learning
-  resources</a> available including printed material, videos and tutorials.</p>
-
-  <h4>Need help?</h4>
-
-<p>matplotlib is a welcoming, inclusive project, and we try to follow
-the <a href="http://www.python.org/psf/codeofconduct/">Python Software
-Foundation Code of Conduct</a> in everything we do.</p>
-
-<p>Check the <a href="{{ pathto('faq/index') }}">faq</a>,
-the <a href="{{ pathto('api/index') }}">api</a> docs,
-<a href="http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html">mailing
-list archives</a>, and join the matplotlib
-mailing <a href="http://sourceforge.net/mail/?group_id=80706">lists</a>.
-Check out the matplotlib questions
-on <a href="http://stackoverflow.com/questions/tagged/matplotlib">stackoverflow</a>.
-The <a href="{{ pathto('search') }}">search</a> tool searches all of
-the documentation, including full text search of over 350 complete
-examples which exercise almost every corner of matplotlib.</p>
-
-<p>You can file bugs, patches and feature requests on the
-github
-<a href="https://github.com/matplotlib/matplotlib/issues?sort=created&direction=desc&state=open">tracker</a>,
-but it is a good idea to ping us on the mailing list too.</p>
-
-<p>To keep up to date with what's going on in matplotlib, see
-the <a href="{{ pathto('users/whats_new.html', 1) }}">what's new
-page</a>, the more detailed <a href="{{ pathto('_static/CHANGELOG', 1)
-}}">changelog</a> or browse
-the <a href="https://github.com/matplotlib/matplotlib">source
-code</a>.  Anything that could require changes to your existing code
-is logged in the <a href="{{ pathto('api/api_changes.html', 1) }}">api
-changes</a> file.</p>
-
-<h1>Toolkits</h1>
-
-<p>There are several matplotlib add-on <a href="{{ pathto('mpl_toolkits/index') }}">toolkits</a>,
-including a choice of two projection and mapping toolkits <a href="http://matplotlib.org/basemap">basemap</a> and
-<a href="http://scitools.org.uk/cartopy/docs/latest">cartopy</a>,
-3d plotting with <a href="{{ pathto('mpl_toolkits/mplot3d/index') }}">mplot3d</a>,
-axes and axis helpers in <a href="{{ pathto('mpl_toolkits/axes_grid/index') }}">axes_grid</a> and more.
- </p>
-
-<h1>Citing matplotlib</h1>
-
-<p>
-  matplotlib is the brainchild of John Hunter (1968-2012), who, along with its many
-  contributors, have put an immeasurable amount of time and effort into producing a
-  piece of software utilized by thousands of scientists worldwide.
-
-  If matplotlib contributes to a project that leads to a scientific publication,
-  please acknowledge this work by citing the project. You can use this
-  <a href="{{ pathto('citing') }}">ready-made citation entry</a>.
-</p>
-
-  <h1>Open source</h1>
-
-<p>
-Please consider <a href="http://sourceforge.net/project/project_donations.php?group_id=80706">donating</a>
-to support matplotlib development or to the <a href="http://numfocus.org/johnhunter/">John Hunter Memorial Fund</a>.
-</p>
-
-<p>
-The matplotlib <a href="{{ pathto('users/license') }}">license</a> is based on the Python Software Foundation
-<a href="http://www.python.org/psf/license">(PSF)</a> license.
-</p>
-
-<p>
-There is an active developer community and a long list of people
-who have made significant <a href="{{ pathto('users/credits') }}">contributions</a>.
-</p>
-
-
-<div class="footnote"><p>
-<sup><a name="ftn.matlab" href="#matlab">*</a></sup>
-MATLAB is a registered trademark of The MathWorks, Inc.
-</p>
-<p>
-<sup><a name="ftn.mathematica" href="#mathematica">&#8224;</a></sup>
-Mathematica is a registered trademark of Wolfram Research, Inc.
-</p>
-
-{% endblock %}
diff --git a/doc/_templates/layout.html b/doc/_templates/layout.html
deleted file mode 100644
index c2f01e6ae7d4..000000000000
--- a/doc/_templates/layout.html
+++ /dev/null
@@ -1,261 +0,0 @@
-{#
-    basic/layout.html
-    ~~~~~~~~~~~~~~~~~
-
-    Master layout template for Sphinx themes.
-
-    :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS.
-    :license: BSD, see LICENSE for details.
-#}
-{%- block doctype -%}
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
-  "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-{%- endblock %}
-{%- set reldelim1 = reldelim1 is not defined and ' &raquo;' or reldelim1 %}
-{%- set reldelim2 = reldelim2 is not defined and ' |' or reldelim2 %}
-{%- set render_sidebar = (not embedded) and (not theme_nosidebar|tobool) and
-                         (sidebars != []) %}
-{%- set url_root = pathto('', 1) %}
-{# XXX necessary? #}
-{%- if url_root == '#' %}{% set url_root = '' %}{% endif %}
-{%- if not embedded and docstitle %}
-  {%- set titlesuffix = " &mdash; "|safe + docstitle|e %}
-{%- else %}
-  {%- set titlesuffix = "" %}
-{%- endif %}
-
-{%- macro relbar() %}
-    <div class="related">
-      <h3>{{ _('Navigation') }}</h3>
-      <ul>
-        {%- for rellink in rellinks %}
-        <li class="right" {% if loop.first %}style="margin-right: 10px"{%
-endif %}>
-          <a href="{{ pathto(rellink[0]) }}" title="{{ rellink[1]|striptags|e
-}}"
-             {{ accesskey(rellink[2]) }}>{{ rellink[3] }}</a>
-          {%- if not loop.first %}{{ reldelim2 }}{% endif %}</li>
-        {%- endfor %}
-
-        <li><a href="{{ pathto('index') }}">home</a>|&nbsp;</li>
-        <li><a href="{{ pathto('examples/index') }}">examples</a>|&nbsp;</li>
-        <li><a href="{{ pathto('gallery') }}">gallery</a>|&nbsp;</li>
-        <li><a href="{{ pathto('api/pyplot_summary') }}">pyplot</a>|&nbsp;</li>
-        <li><a href="{{ pathto('contents') }}">docs</a> &raquo;</li>
-
-        {%- for parent in parents %}
-          <li><a href="{{ parent.link|e }}" {% if loop.last %}{{
-accesskey("U") }}{% endif %}>{{ parent.title }}</a>{{ reldelim1 }}</li>
-        {%- endfor %}
-        {%- block relbaritems %} {% endblock %}
-      </ul>
-    </div>
-{%- endmacro %}
-
-{%- macro sidebar() %}
-      {%- if render_sidebar %}
-      <div class="sphinxsidebar">
-        <div class="sphinxsidebarwrapper">
-          {%- block sidebarlogo %}
-          {%- if logo %}
-            <p class="logo"><a href="{{ pathto(master_doc) }}">
-              <img class="logo" src="{{ pathto('_static/' + logo, 1) }}"
-alt="Logo"/>
-            </a></p>
-          {%- endif %}
-          {%- endblock %}
-          {%- if sidebars != None %}
-            {#- new style sidebar: explicitly include/exclude templates #}
-            {%- for sidebartemplate in sidebars %}
-            {%- include sidebartemplate %}
-            {%- endfor %}
-          {%- else %}
-            {#- old style sidebars: using blocks -- should be deprecated #}
-            {%- block sidebartoc %}
-            {%- include "localtoc.html" %}
-            {%- endblock %}
-            {%- block sidebarrel %}
-            {%- include "relations.html" %}
-            {%- endblock %}
-            {%- block sidebarsourcelink %}
-            {%- include "sourcelink.html" %}
-            {%- endblock %}
-            {%- if customsidebar %}
-            {%- include customsidebar %}
-            {%- endif %}
-            {%- block sidebarsearch %}
-            {%- include "searchbox.html" %}
-            {%- endblock %}
-          {%- endif %}
-        </div>
-      </div>
-      {%- endif %}
-{%- endmacro %}
-
-{%- macro script() %}
-    <script type="text/javascript">
-      var DOCUMENTATION_OPTIONS = {
-        URL_ROOT:    '{{ url_root }}',
-        VERSION:     '{{ release|e }}',
-        COLLAPSE_INDEX: false,
-        FILE_SUFFIX: '{{ '' if no_search_suffix else file_suffix }}',
-        HAS_SOURCE:  {{ has_source|lower }}
-      };
-    </script>
-    {%- for scriptfile in script_files %}
-    <script type="text/javascript" src="{{ pathto(scriptfile, 1) }}"></script>
-    {%- endfor %}
-{%- endmacro %}
-
-{%- macro css() %}
-    <link rel="stylesheet" href="{{ pathto('_static/' + style, 1) }}"
-type="text/css" />
-    <link rel="stylesheet" href="{{ pathto('_static/pygments.css', 1) }}"
-type="text/css" />
-    {%- for cssfile in css_files %}
-    <link rel="stylesheet" href="{{ pathto(cssfile, 1) }}" type="text/css" />
-    {%- endfor %}
-{%- endmacro %}
-
-<html xmlns="http://www.w3.org/1999/xhtml">
-  <head>
-    <meta http-equiv="Content-Type" content="text/html; charset={{ encoding
-}}" />
-    {{ metatags }}
-    {%- block htmltitle %}
-    <title>{{ title|striptags|e }}{{ titlesuffix }}</title>
-    {%- endblock %}
-    {{ css() }}
-    {%- if not embedded %}
-    {{ script() }}
-    {%- if use_opensearch %}
-    <link rel="search" type="application/opensearchdescription+xml"
-          title="{% trans docstitle=docstitle|e %}Search within {{ docstitle
-}}{% endtrans %}"
-          href="{{ pathto('_static/opensearch.xml', 1) }}"/>
-    {%- endif %}
-    {%- if favicon %}
-    <link rel="shortcut icon" href="{{ pathto('_static/' + favicon, 1) }}"/>
-    {%- endif %}
-    {%- endif %}
-{%- block linktags %}
-    {%- if hasdoc('about') %}
-    <link rel="author" title="{{ _('About these documents') }}" href="{{
-pathto('about') }}" />
-    {%- endif %}
-    {%- if hasdoc('genindex') %}
-    <link rel="index" title="{{ _('Index') }}" href="{{ pathto('genindex') }}"
-/>
-    {%- endif %}
-    {%- if hasdoc('search') %}
-    <link rel="search" title="{{ _('Search') }}" href="{{ pathto('search') }}"
-/>
-    {%- endif %}
-    {%- if hasdoc('copyright') %}
-    <link rel="copyright" title="{{ _('Copyright') }}" href="{{
-pathto('copyright') }}" />
-    {%- endif %}
-    <link rel="top" title="{{ docstitle|e }}" href="{{ pathto('index') }}" />
-    {%- if parents %}
-    <link rel="up" title="{{ parents[-1].title|striptags|e }}" href="{{
-parents[-1].link|e }}" />
-    {%- endif %}
-    {%- if next %}
-    <link rel="next" title="{{ next.title|striptags|e }}" href="{{ next.link|e
-}}" />
-    {%- endif %}
-    {%- if prev %}
-    <link rel="prev" title="{{ prev.title|striptags|e }}" href="{{ prev.link|e
-}}" />
-    {%- endif %}
-{%- endblock %}
-{%- block extrahead %} {% endblock %}
-<link href="http://fonts.googleapis.com/css?family=Raleway" rel="stylesheet" type="text/css">
-
-  </head>
-  <body>
-{%- block header %}{% endblock %}
-
-{% block relbar1 %}
-
-<link rel="shortcut icon" href="/_static/favicon.ico">
-
-<!-- The "Fork me on github" ribbon -->
-<img style="float: right; margin-bottom: -40px; top: 0; right: 0; border: 0;" src="https://s3.amazonaws.com/github/ribbons/forkme_right_orange_ff7600.png" usemap="#ribbonmap"/>
-<map name="ribbonmap">
-    <area shape="poly" coords="15,0,148,-1,148,135" href="https://github.com/matplotlib/matplotlib" title="Fork me on GitHub" />
-</map>
-
-<div style="background-color: white; text-align: left; padding: 10px 10px 15px 15px">
-<a href="{{ pathto('index') }}"><img src="{{
-pathto("_static/logo2.png", 1) }}" border="0" alt="matplotlib"/></a>
-</div>
-
-{% endblock %}
-
-{%- block relbar2 %}
-
-{{ relbar() }}
-
-{% endblock %}
-
-
-
-{%- block content %}
-  {%- block sidebar1 %} {# possible location for sidebar #} {% endblock %}
-
-  {%- block sidebar2 %}{{ sidebar() }}{% endblock %}
-
-    <div class="document">
-  {%- block document %}
-      <div class="documentwrapper">
-      {%- if render_sidebar %}
-        <div class="bodywrapper">
-      {%- endif %}
-          <div class="body">
-            {% block body %} {% endblock %}
-          </div>
-      {%- if render_sidebar %}
-        </div>
-      {%- endif %}
-      </div>
-  {%- endblock %}
-
-      <div class="clearer"></div>
-    </div>
-{%- endblock %}
-
-{%- block footer %}
-    <div class="footer">
-    {%- if show_copyright %}
-      {%- if hasdoc('copyright') %}
-        {% trans path=pathto('copyright'), copyright=copyright|e %}&copy; <a
-href="{{ path }}">Copyright</a> {{ copyright }}.{% endtrans %}
-      {%- else %}
-        {% trans copyright=copyright|e %}&copy; Copyright {{ copyright }}.{%
-endtrans %}
-      {%- endif %}
-    {%- endif %}
-    {%- if last_updated %}
-      {% trans last_updated=last_updated|e %}Last updated on {{ last_updated
-}}.{% endtrans %}
-    {%- endif %}
-    {%- if show_sphinx %}
-      {% trans sphinx_version=sphinx_version|e %}Created using <a
-href="http://sphinx-doc.org/">Sphinx</a> {{ sphinx_version }}.{% endtrans %}
-    {%- endif %}
-    </div>
- {%- endblock %}
-
-<script>
-  (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
-  (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
-  m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
-  })(window,document,'script','//www.google-analytics.com/analytics.js','ga');
-
-  ga('create', 'UA-55954603-1', 'auto');
-  ga('send', 'pageview');
-
-</script>
-</body>
-</html>
diff --git a/doc/_templates/pagesource.html b/doc/_templates/pagesource.html
new file mode 100644
index 000000000000..54428f9d6910
--- /dev/null
+++ b/doc/_templates/pagesource.html
@@ -0,0 +1,7 @@
+{%- if show_source and has_source and sourcename %}
+  <div id="sidebar-pagesource" role="note" aria-label="source link"
+    style="margin-top: 1.5em; padding-top: 0.1em; border-top: 1px solid #86989b">
+  <a href="{{ pathto('_sources/' + sourcename, true)|e }}"
+     style="color: #c0c0c0" rel="nofollow">{{ _('Show Page Source') }}</a>
+  </div>
+{%- endif %}
diff --git a/doc/_templates/search.html b/doc/_templates/search.html
index f24c6ab13fd8..aacae3dac7c2 100644
--- a/doc/_templates/search.html
+++ b/doc/_templates/search.html
@@ -1,20 +1,23 @@
 {% extends "layout.html" %}
 {% set title = _('Search') %}
-{% set script_files = script_files + ['_static/searchtools.js'] %}
+{%- block scripts %}
+    {{ super() }}
+    <script type="text/javascript" src="{{ pathto('_static/searchtools.js', 1) }}"></script>
+    <script type="text/javascript" src="{{ pathto('_static/language_data.js', 1) }}"></script>
+{%- endblock %}
 {% block body %}
   <h1 id="search-documentation">{{ _('Search') }}</h1>
   <p>
-    {% trans %}From here you can search these documents. Enter your
-    search words into the box below and click "search". Note that the
-    search function will automatically search for all of the
-    words. Pages containing less words won't appear in the result
-    list.{% endtrans %}  If you want to limit your search to working code examples,
-    include the keyword "codex" (mnemonic for <i>code example</i>) in your
-    search, e.g., "codex ellipse";
-    see <a href="{{ pathto('faq/howto_faq.html#search-examples') }}">search&nbsp;examples</a>.
+    {% trans %}Searching for multiple words only shows matches that contain
+    all words.{% endtrans %}
+  </p>
+  <p>
+    If you want to limit your search to working code examples, include the
+    keyword "codex" (mnemonic for <i>code example</i>) in your search, e.g.,
+    "codex ellipse".
   </p>
   <form action="" method="get">
-    <input type="text" name="q" value="" />
+    <input type="text" name="q" value="" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
     <input type="submit" value="{{ _('search') }}" />
     <span id="search-progress" style="padding-left: 10px"></span>
   </form>
@@ -38,7 +41,5 @@ <h2>{{ _('Search Results') }}</h2>
 {% endblock %}
 {% block footer %}
   {{ super() }}
-<script type="text/javascript">
-    jQuery(function() { Search.loadIndex("searchindex.js"); });
-</script>
+  <script type="text/javascript" src="{{ pathto('searchindex.js', 1) }}" defer></script>
 {% endblock %}
diff --git a/doc/_templates/sections/announcement.html b/doc/_templates/sections/announcement.html
new file mode 100644
index 000000000000..b134acef9af5
--- /dev/null
+++ b/doc/_templates/sections/announcement.html
@@ -0,0 +1,13 @@
+{%- if theme_announcement == "unreleased" -%}
+{% set header_classes = ["bd-header-announcement", "container-fluid"] %}
+  <div class="{{ header_classes | join(' ') }}" id="unreleased-message">
+    <div class="bd-header-announcement__content">
+      You are reading documentation for the unreleased version of Matplotlib.
+      <a href="https://matplotlib.org/search.html?q={{ title | striptags | urlencode }}&amp;check_keywords=yes&amp;area=default">
+        Try searching for the released version of this page instead?
+      </a>
+    </div>
+  </div>
+{%- else -%}
+  {%- extends "!sections/announcement.html" -%}
+{%- endif %}
diff --git a/doc/_templates/sidebar_announcement.html b/doc/_templates/sidebar_announcement.html
new file mode 100644
index 000000000000..f8fa4d8a5efb
--- /dev/null
+++ b/doc/_templates/sidebar_announcement.html
@@ -0,0 +1,5 @@
+<div class="sidebar-announcement">
+  <p>Matplotlib 3.0 is Python 3 only.</p>
+  <p>Python 2 support has been dropped on January 1, 2020.</p>
+  <p>The last Python 2 compatible release is 2.2.5.</p>
+</div>
diff --git a/doc/_templates/sidebar_versions.html b/doc/_templates/sidebar_versions.html
new file mode 100644
index 000000000000..35a965661d90
--- /dev/null
+++ b/doc/_templates/sidebar_versions.html
@@ -0,0 +1,38 @@
+<div class="sidebar-versions">
+<script>
+function getSnippet(id, url) {
+    var req = false;
+    // For Safari, Firefox, and other non-MS browsers
+    if (window.XMLHttpRequest) {
+        try {
+            req = new XMLHttpRequest();
+        } catch (e) {
+            req = false;
+        }
+    } else if (window.ActiveXObject) {
+        // For Internet Explorer on Windows
+        try {
+            req = new ActiveXObject("Msxml2.XMLHTTP");
+        } catch (e) {
+            try {
+            req = new ActiveXObject("Microsoft.XMLHTTP");
+            } catch (e) {
+            req = false;
+            }
+        }
+    }
+    var element = document.querySelector(".sidebar-versions");
+    if (req) {
+        // Synchronous request, wait till we have it all
+        req.open('GET', url, false);
+        req.send(null);
+        if (req.status == 200) {
+            element.innerHTML = req.responseText;
+        } else {
+            element.innerHTML = "<mark>Could not find Snippet to insert at " + url + "</mark>"
+        }
+    }
+}
+getSnippet('other_versions', '/versions.html');
+</script>
+</div>
diff --git a/doc/api/.gitignore b/doc/api/.gitignore
new file mode 100644
index 000000000000..dbed88d89836
--- /dev/null
+++ b/doc/api/.gitignore
@@ -0,0 +1 @@
+scalarmappable.gen_rst
diff --git a/doc/api/_afm_api.rst b/doc/api/_afm_api.rst
new file mode 100644
index 000000000000..4e2ac4997272
--- /dev/null
+++ b/doc/api/_afm_api.rst
@@ -0,0 +1,8 @@
+*******************
+``matplotlib._afm``
+*******************
+
+.. automodule:: matplotlib._afm
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/_api_api.rst b/doc/api/_api_api.rst
new file mode 100644
index 000000000000..a41af9009bcf
--- /dev/null
+++ b/doc/api/_api_api.rst
@@ -0,0 +1,13 @@
+*******************
+``matplotlib._api``
+*******************
+
+.. automodule:: matplotlib._api
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. automodule:: matplotlib._api.deprecation
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/_docstring_api.rst b/doc/api/_docstring_api.rst
new file mode 100644
index 000000000000..040a3653a87b
--- /dev/null
+++ b/doc/api/_docstring_api.rst
@@ -0,0 +1,8 @@
+*************************
+``matplotlib._docstring``
+*************************
+
+.. automodule:: matplotlib._docstring
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/_enums_api.rst b/doc/api/_enums_api.rst
new file mode 100644
index 000000000000..c38d535f3573
--- /dev/null
+++ b/doc/api/_enums_api.rst
@@ -0,0 +1,14 @@
+**********************
+``matplotlib._enums``
+**********************
+
+.. automodule:: matplotlib._enums
+   :no-members:
+
+   .. autoclass:: JoinStyle
+      :members: demo
+      :exclude-members: bevel, miter, round, input_description
+
+   .. autoclass:: CapStyle
+      :members: demo
+      :exclude-members: butt, round, projecting, input_description
diff --git a/doc/api/_tight_bbox_api.rst b/doc/api/_tight_bbox_api.rst
new file mode 100644
index 000000000000..826e051fcf6d
--- /dev/null
+++ b/doc/api/_tight_bbox_api.rst
@@ -0,0 +1,8 @@
+**************************
+``matplotlib._tight_bbox``
+**************************
+
+.. automodule:: matplotlib._tight_bbox
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/_tight_layout_api.rst b/doc/api/_tight_layout_api.rst
new file mode 100644
index 000000000000..ac4f66f280e1
--- /dev/null
+++ b/doc/api/_tight_layout_api.rst
@@ -0,0 +1,8 @@
+****************************
+``matplotlib._tight_layout``
+****************************
+
+.. automodule:: matplotlib._tight_layout
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/_type1font.rst b/doc/api/_type1font.rst
new file mode 100644
index 000000000000..1a9ff2292887
--- /dev/null
+++ b/doc/api/_type1font.rst
@@ -0,0 +1,8 @@
+*************************
+``matplotlib._type1font``
+*************************
+
+.. automodule:: matplotlib._type1font
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/afm_api.rst b/doc/api/afm_api.rst
deleted file mode 100644
index 3bffbd1c30a3..000000000000
--- a/doc/api/afm_api.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-**********************************
-afm (Adobe Font Metrics interface)
-**********************************
-
-
-:mod:`matplotlib.afm`
-=====================
-
-.. automodule:: matplotlib.afm
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/doc/api/animation_api.rst b/doc/api/animation_api.rst
index d43dc351abae..1233b482165d 100644
--- a/doc/api/animation_api.rst
+++ b/doc/api/animation_api.rst
@@ -1,12 +1,327 @@
-*********
-animation
-*********
+************************
+``matplotlib.animation``
+************************
 
+.. automodule:: matplotlib.animation
+   :no-members:
+   :no-undoc-members:
 
-:mod:`matplotlib.animation`
-===========================
+.. contents:: Table of Contents
+   :depth: 1
+   :local:
+   :backlinks: entry
 
-.. automodule:: matplotlib.animation
-   :members:
-   :undoc-members:
-   :show-inheritance:
+
+Animation
+=========
+
+The easiest way to make a live animation in Matplotlib is to use one of the
+`Animation` classes.
+
+.. seealso::
+   - :ref:`animations`
+
+.. inheritance-diagram:: matplotlib.animation.FuncAnimation matplotlib.animation.ArtistAnimation
+   :parts: 1
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   Animation
+   FuncAnimation
+   ArtistAnimation
+
+In both cases it is critical to keep a reference to the instance
+object.  The animation is advanced by a timer (typically from the host
+GUI framework) which the `Animation` object holds the only reference
+to.  If you do not hold a reference to the `Animation` object, it (and
+hence the timers) will be garbage collected which will stop the
+animation.
+
+To save an animation use `Animation.save`, `Animation.to_html5_video`,
+or `Animation.to_jshtml`.
+
+See :ref:`ani_writer_classes` below for details about what movie formats are
+supported.
+
+
+.. _func-animation:
+
+``FuncAnimation``
+-----------------
+
+The inner workings of `FuncAnimation` is more-or-less::
+
+  for d in frames:
+      artists = func(d, *fargs)
+      fig.canvas.draw_idle()
+      fig.canvas.start_event_loop(interval)
+
+with details to handle 'blitting' (to dramatically improve the live
+performance), to be non-blocking, not repeatedly start/stop the GUI
+event loop, handle repeats, multiple animated axes, and easily save
+the animation to a movie file.
+
+'Blitting' is a `standard technique
+<https://en.wikipedia.org/wiki/Bit_blit>`__ in computer graphics.  The
+general gist is to take an existing bit map (in our case a mostly
+rasterized figure) and then 'blit' one more artist on top.  Thus, by
+managing a saved 'clean' bitmap, we can only re-draw the few artists
+that are changing at each frame and possibly save significant amounts of
+time.  When we use blitting (by passing ``blit=True``), the core loop of
+`FuncAnimation` gets a bit more complicated::
+
+   ax = fig.gca()
+
+   def update_blit(artists):
+       fig.canvas.restore_region(bg_cache)
+       for a in artists:
+           a.axes.draw_artist(a)
+
+       ax.figure.canvas.blit(ax.bbox)
+
+   artists = init_func()
+
+   for a in artists:
+      a.set_animated(True)
+
+   fig.canvas.draw()
+   bg_cache = fig.canvas.copy_from_bbox(ax.bbox)
+
+   for f in frames:
+       artists = func(f, *fargs)
+       update_blit(artists)
+       fig.canvas.start_event_loop(interval)
+
+This is of course leaving out many details (such as updating the
+background when the figure is resized or fully re-drawn).  However,
+this hopefully minimalist example gives a sense of how ``init_func``
+and ``func`` are used inside of `FuncAnimation` and the theory of how
+'blitting' works.
+
+.. note::
+
+    The zorder of artists is not taken into account when 'blitting'
+    because the 'blitted' artists are always drawn on top.
+
+The expected signature on ``func`` and ``init_func`` is very simple to
+keep `FuncAnimation` out of your book keeping and plotting logic, but
+this means that the callable objects you pass in must know what
+artists they should be working on.  There are several approaches to
+handling this, of varying complexity and encapsulation.  The simplest
+approach, which works quite well in the case of a script, is to define the
+artist at a global scope and let Python sort things out.  For example::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+   from matplotlib.animation import FuncAnimation
+
+   fig, ax = plt.subplots()
+   xdata, ydata = [], []
+   ln, = ax.plot([], [], 'ro')
+
+   def init():
+       ax.set_xlim(0, 2*np.pi)
+       ax.set_ylim(-1, 1)
+       return ln,
+
+   def update(frame):
+       xdata.append(frame)
+       ydata.append(np.sin(frame))
+       ln.set_data(xdata, ydata)
+       return ln,
+
+   ani = FuncAnimation(fig, update, frames=np.linspace(0, 2*np.pi, 128),
+                       init_func=init, blit=True)
+   plt.show()
+
+The second method is to use `functools.partial` to pass arguments to the
+function::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+   from matplotlib.animation import FuncAnimation
+   from functools import partial
+
+   fig, ax = plt.subplots()
+   line1, = ax.plot([], [], 'ro')
+
+   def init():
+       ax.set_xlim(0, 2*np.pi)
+       ax.set_ylim(-1, 1)
+       return line1,
+
+   def update(frame, ln, x, y):
+       x.append(frame)
+       y.append(np.sin(frame))
+       ln.set_data(x, y)
+       return ln,
+
+   ani = FuncAnimation(
+       fig, partial(update, ln=line1, x=[], y=[]),
+       frames=np.linspace(0, 2*np.pi, 128),
+       init_func=init, blit=True)
+
+   plt.show()
+
+A third method is to use closures to build up the required
+artists and functions.  A fourth method is to create a class.
+
+Examples
+^^^^^^^^
+
+* :doc:`../gallery/animation/animate_decay`
+* :doc:`../gallery/animation/bayes_update`
+* :doc:`../gallery/animation/double_pendulum`
+* :doc:`../gallery/animation/animated_histogram`
+* :doc:`../gallery/animation/rain`
+* :doc:`../gallery/animation/random_walk`
+* :doc:`../gallery/animation/simple_anim`
+* :doc:`../gallery/animation/strip_chart`
+* :doc:`../gallery/animation/unchained`
+
+``ArtistAnimation``
+-------------------
+
+Examples
+^^^^^^^^
+
+* :doc:`../gallery/animation/dynamic_image`
+
+Writer Classes
+==============
+
+.. inheritance-diagram:: matplotlib.animation.FFMpegFileWriter matplotlib.animation.FFMpegWriter matplotlib.animation.ImageMagickFileWriter matplotlib.animation.ImageMagickWriter matplotlib.animation.PillowWriter matplotlib.animation.HTMLWriter
+   :top-classes: matplotlib.animation.AbstractMovieWriter
+   :parts: 1
+
+The provided writers fall into a few broad categories.
+
+The Pillow writer relies on the Pillow library to write the animation, keeping
+all data in memory.
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   PillowWriter
+
+The HTML writer generates JavaScript-based animations.
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   HTMLWriter
+
+The pipe-based writers stream the captured frames over a pipe to an external
+process.  The pipe-based variants tend to be more performant, but may not work
+on all systems.
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   FFMpegWriter
+   ImageMagickWriter
+
+The file-based writers save temporary files for each frame which are stitched
+into a single file at the end.  Although slower, these writers can be easier to
+debug.
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   FFMpegFileWriter
+   ImageMagickFileWriter
+
+The writer classes provide a way to grab sequential frames from the same
+underlying `~matplotlib.figure.Figure`.  They all provide three methods that
+must be called in sequence:
+
+- `~.AbstractMovieWriter.setup` prepares the writer (e.g. opening a pipe).
+  Pipe-based and file-based writers take different arguments to ``setup()``.
+- `~.AbstractMovieWriter.grab_frame` can then be called as often as
+  needed to capture a single frame at a time
+- `~.AbstractMovieWriter.finish` finalizes the movie and writes the output
+  file to disk.
+
+Example::
+
+   moviewriter = MovieWriter(...)
+   moviewriter.setup(fig, 'my_movie.ext', dpi=100)
+   for j in range(n):
+       update_figure(j)
+       moviewriter.grab_frame()
+   moviewriter.finish()
+
+If using the writer classes directly (not through `Animation.save`), it is
+strongly encouraged to use the `~.AbstractMovieWriter.saving` context manager::
+
+  with moviewriter.saving(fig, 'myfile.mp4', dpi=100):
+      for j in range(n):
+          update_figure(j)
+          moviewriter.grab_frame()
+
+to ensure that setup and cleanup are performed as necessary.
+
+Examples
+--------
+
+* :doc:`../gallery/animation/frame_grabbing_sgskip`
+
+.. _ani_writer_classes:
+
+Helper Classes
+==============
+
+Animation Base Classes
+----------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   Animation
+   TimedAnimation
+
+Writer Registry
+---------------
+
+A module-level registry is provided to map between the name of the
+writer and the class to allow a string to be passed to
+`Animation.save` instead of a writer instance.
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   MovieWriterRegistry
+
+Writer Base Classes
+-------------------
+
+To reduce code duplication base classes
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   AbstractMovieWriter
+   MovieWriter
+   FileMovieWriter
+
+and mixins
+
+.. autosummary::
+   :toctree: _as_gen
+   :nosignatures:
+
+   FFMpegBase
+   ImageMagickBase
+
+are provided.
+
+See the source code for how to easily implement new `MovieWriter` classes.
diff --git a/doc/api/api_changes.rst b/doc/api/api_changes.rst
deleted file mode 100644
index be878d0a7dc7..000000000000
--- a/doc/api/api_changes.rst
+++ /dev/null
@@ -1,2307 +0,0 @@
-
-===========
-API Changes
-===========
-
-This chapter is a log of changes to matplotlib that affect the
-outward-facing API.  If updating matplotlib breaks your scripts, this
-list may help describe what changes may be necessary in your code or
-help figure out possible sources of the changes you are experiencing.
-
-For new features that were added to matplotlib, please see
-:ref:`whats-new`.
-
-Changes in 1.4.x
-================
-
-Code changes
-------------
-
-* A major refactoring of the axes module was made. The axes module has been
-  split into smaller modules:
-
-    - the `_base` module, which contains a new private _AxesBase class. This
-      class contains all methods except plotting and labelling methods.
-    - the `axes` module, which contains the Axes class. This class inherits
-      from _AxesBase, and contains all plotting and labelling methods.
-    - the `_subplot` module, with all the classes concerning subplotting.
-
-There are a couple of things that do not exists in the `axes` module's
-namespace anymore. If you use them, you need to import them from their
-original location:
-
-  - math -> `import math`
-  - ma -> `from numpy import ma`
-  - cbook -> `from matplotlib import cbook`
-  - docstring -> `from matplotlib import docstring`
-  - is_sequence_of_strings -> `from matplotlib.cbook import is_sequence_of_strings`
-  - is_string_like -> `from matplotlib.cbook import is_string_like`
-  - iterable -> `from matplotlib.cbook import iterable`
-  - itertools -> `import itertools`
-  - martist -> `from matplotlib import artist as martist`
-  - matplotlib -> `import matplotlib`
-  - mcoll -> `from matplotlib import collections as mcoll`
-  - mcolors -> `from matplotlib import colors as mcolors`
-  - mcontour -> `from matplotlib import contour as mcontour`
-  - mpatches -> `from matplotlib import patches as mpatches`
-  - mpath -> `from matplotlib import path as mpath`
-  - mquiver -> `from matplotlib import quiver as mquiver`
-  - mstack -> `from matplotlib import stack as mstack`
-  - mstream -> `from matplotlib import stream as mstream`
-  - mtable -> `from matplotlib import table as mtable`
-
-* As part of the refactoring to enable Qt5 support, the module
-  `matplotlib.backends.qt4_compat` was renamed to
-  `matplotlib.qt_compat`.  `qt4_compat` is deprecated in 1.4 and
-  will be removed in 1.5.
-
-* The :func:`~matplotlib.pyplot.errorbar` method has been changed such that
-  the upper and lower limits (*lolims*, *uplims*, *xlolims*, *xuplims*) now
-  point in the correct direction.
-
-* The *fmt* kwarg for :func:`~matplotlib.pyplot.errorbar now supports
-  the string 'none' to suppress drawing of a line and markers; use
-  of the *None* object for this is deprecated. The default *fmt*
-  value is changed to the empty string (''), so the line and markers
-  are governed by the :func:`~matplotlib.pyplot.plot` defaults.
-
-* A bug has been fixed in the path effects rendering of fonts, which now means
-  that the font size is consistent with non-path effect fonts. See
-  https://github.com/matplotlib/matplotlib/issues/2889 for more detail.
-
-* The Sphinx extensions `ipython_directive` and
-  `ipython_console_highlighting` have been moved to the IPython
-  project itself.  While they remain in matplotlib for this release,
-  they have been deprecated.  Update your extensions in `conf.py` to
-  point to `IPython.sphinxext.ipython_directive` instead of
-  `matplotlib.sphinxext.ipython_directive`.
-
-* In `~matplotlib.finance`, almost all functions have been deprecated
-  and replaced with a pair of functions name `*_ochl` and `*_ohlc`.
-  The former is the 'open-close-high-low' order of quotes used
-  previously in this module, and the latter is the
-  'open-high-low-close' order that is standard in finance.
-
-* For consistency the ``face_alpha`` keyword to
-  :class:`matplotlib.patheffects.SimplePatchShadow` has been deprecated in
-  favour of the ``alpha`` keyword. Similarly, the keyword ``offset_xy`` is now
-  named ``offset`` across all :class:`~matplotlib.patheffects.AbstractPathEffect`s.
-  ``matplotlib.patheffects._Base`` has
-  been renamed to :class:`matplotlib.patheffects.AbstractPathEffect`.
-  ``matplotlib.patheffect.ProxyRenderer`` has been renamed to
-  :class:`matplotlib.patheffects.PathEffectRenderer` and is now a full
-  RendererBase subclass.
-
-* The artist used to draw the outline of a `colorbar` has been changed
-  from a `matplotlib.lines.Line2D` to `matplotlib.patches.Polygon`,
-  thus `colorbar.ColorbarBase.outline` is now a
-  `matplotlib.patches.Polygon` object.
-
-* The legend handler interface has changed from a callable, to any object
-  which implements the ``legend_artists`` method (a deprecation phase will
-  see this interface be maintained for v1.4). See
-  :ref:`plotting-guide-legend` for further details. Further legend changes
-  include:
-
-   * :func:`matplotlib.axes.Axes._get_legend_handles` now returns a generator
-     of handles, rather than a list.
-
-   * The :func:`~matplotlib.pyplot.legend` function's "loc" positional
-     argument has been deprecated. Use the "loc" keyword instead.
-
-* The rcParams `savefig.transparent` has been added to control
-  default transparency when saving figures.
-
-* Slightly refactored the `Annotation` family.  The text location in
-  `Annotation` is now handled entirely handled by the underlying `Text`
-  object so `set_position` works as expected.  The attributes `xytext` and
-  `textcoords` have been deprecated in favor of `xyann` and `anncoords` so
-  that `Annotation` and `AnnotaionBbox` can share a common sensibly named
-  api for getting/setting the location of the text or box.
-
-    - `xyann` -> set the location of the annotation
-    - `xy` -> set where the arrow points to
-    - `anncoords` -> set the units of the annotation location
-    - `xycoords` -> set the units of the point location
-    - `set_position()` -> `Annotation` only set location of annotation
-
-* `matplotlib.mlab.specgram`, `matplotlib.mlab.psd`,  `matplotlib.mlab.csd`,
-  `matplotlib.mlab.cohere`, `matplotlib.mlab.cohere_pairs`,
-  `matplotlib.pyplot.specgram`, `matplotlib.pyplot.psd`,
-  `matplotlib.pyplot.csd`, and `matplotlib.pyplot.cohere` now raise
-  ValueError where they previously raised AssertionError.
-
-* For `matplotlib.mlab.psd`,  `matplotlib.mlab.csd`,
-  `matplotlib.mlab.cohere`, `matplotlib.mlab.cohere_pairs`,
-  `matplotlib.pyplot.specgram`, `matplotlib.pyplot.psd`,
-  `matplotlib.pyplot.csd`, and `matplotlib.pyplot.cohere`, in cases
-  where a shape (n, 1) array is returned, this is now converted to a (n, )
-  array.  Previously, (n, m) arrays were averaged to an (n, ) array, but
-  (n, 1) arrays were returend unchanged.  This change makes the dimensions
-  consistent in both cases.
-
-* Added the rcParam `axes.fromatter.useoffset` to control the default value
-  of `useOffset` in `ticker.ScalarFormatter`
-
-* Added `Formatter` sub-class `StrMethodFormatter` which
-  does the exact same thing as `FormatStrFormatter`, but for new-style
-  formatting strings.
-
-* Deprecated `matplotlib.testing.image_util` and the only function within,
-  `matplotlib.testing.image_util.autocontrast`. These will be removed
-  completely in v1.5.0.
-
-* The ``fmt`` argument of :meth:`~matplotlib.axes.Axes.plot_date` has been
-  changed from ``bo`` to just ``o``, so color cycling can happen by default.
-
-* Removed the class `FigureManagerQTAgg` and deprecated `NavigationToolbar2QTAgg`
-  which will be removed in 1.5.
-
-* Removed formerly public (non-prefixed) attributes `rect` and
-  `drawRect` from `FigureCanvasQTAgg`; they were always an
-  implementation detail of the (preserved) `drawRectangle()` function.
-
-* The function signatures of `tight_bbox.adjust_bbox` and
-  `tight_bbox.process_figure_for_rasterizing` have been changed. A new
-  `fixed_dpi` parameter allows for overriding the `figure.dpi` setting
-  instead of trying to deduce the intended behaviour from the file format.
-
-* Added support for horizontal/vertical axes padding to
-  `mpl_toolkits.axes_grid1.ImageGrid` --- argument ``axes_pad`` can now be
-  tuple-like if separate axis padding is required.
-  The original behavior is preserved.
-
-* Added support for skewed transforms to `matplotlib.transforms.Affine2D`,
-  which can be created using the `skew` and `skew_deg` methods.
-
-* Added clockwise parameter to control sectors direction in `axes.pie`
-
-* In `matplotlib.lines.Line2D` the `markevery` functionality has been extended.
-  Previously an integer start-index and stride-length could be specified using
-  either a two-element-list or a two-element-tuple.  Now this can only be done
-  using a two-element-tuple.  If a two-element-list is used then it will be
-  treated as numpy fancy indexing and only the two markers corresponding to the
-  given indexes will be shown.
-
-* removed prop kwarg from `mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar`
-  call.  It was passed through to the base-class `__init__` and is only used for
-  setting padding.  Now `fontproperties` (which is what is really used to set
-  the font properties of `AnchoredSizeBar`) is passed through in place of `prop`.
-  If `fontpropreties` is not passed in, but `prop` is, then `prop` is used inplace
-  of `fontpropreties`.  If both are passed in, `prop` is silently ignored.
-
-
-* The use of the index 0 in `plt.subplot` and related commands is
-  deprecated.  Due to a lack of validation calling `plt.subplots(2, 2,
-  0)` does not raise an exception, but puts an axes in the _last_
-  position.  This is due to the indexing in subplot being 1-based (to
-  mirror MATLAB) so before indexing into the `GridSpec` object used to
-  determine where the axes should go, 1 is subtracted off.  Passing in
-  0 results in passing -1 to `GridSpec` which results in getting the
-  last position back.  Even though this behavior is clearly wrong and
-  not intended, we are going through a deprecation cycle in an
-  abundance of caution that any users are exploiting this 'feature'.
-  The use of 0 as an index will raise a warning in 1.4 and an
-  exception in 1.5.
-
-* Clipping is now off by default on offset boxes.
-
-* matplotlib now uses a less-aggressive call to ``gc.collect(1)`` when
-  closing figures to avoid major delays with large numbers of user objects
-  in memory.
-
-* The default clip value of *all* pie artists now defaults to ``False``.
-
-
-Code removal
-------------
-
-* Removed ``mlab.levypdf``.  The code raised a numpy error (and has for
-  a long time) and was not the standard form of the Levy distribution.
-  ``scipy.stats.levy`` should be used instead
-
-
-.. _changes_in_1_3:
-
-
-Changes in 1.3.x
-================
-
-Changes in 1.3.1
-----------------
-
-It is rare that we make an API change in a bugfix release, however,
-for 1.3.1 since 1.3.0 the following change was made:
-
-- `text.Text.cached` (used to cache font objects) has been made into a
-  private variable.  Among the obvious encapsulation benefit, this
-  removes this confusing-looking member from the documentation.
-
-- The method :meth:`~matplotlib.axes.Axes.hist` now always returns bin
-  occupancies as an array of type `float`. Previously, it was sometimes
-  an array of type `int`, depending on the call.
-
-Code removal
-------------
-
-* The following items that were deprecated in version 1.2 or earlier
-  have now been removed completely.
-
-    - The Qt 3.x backends (`qt` and `qtagg`) have been removed in
-      favor of the Qt 4.x backends (`qt4` and `qt4agg`).
-
-    - The FltkAgg and Emf backends have been removed.
-
-    - The `matplotlib.nxutils` module has been removed.  Use the
-      functionality on `matplotlib.path.Path.contains_point` and
-      friends instead.
-
-    - Instead of `axes.Axes.get_frame`, use `axes.Axes.patch`.
-
-    - The following `kwargs` to the `legend` function have been
-      renamed:
-
-      - `pad` -> `borderpad`
-      - `labelsep` -> `labelspacing`
-      - `handlelen` -> `handlelength`
-      - `handletextsep` -> `handletextpad`
-      - `axespad` -> `borderaxespad`
-
-      Related to this, the following rcParams have been removed:
-
-      - `legend.pad`, `legend.labelsep`, `legend.handlelen`,
-        `legend.handletextsep` and `legend.axespad`
-
-    - For the `hist` function, instead of `width`, use `rwidth`
-      (relative width).
-
-    - On `patches.Circle`, the `resolution` kwarg has been removed.
-      For a circle made up of line segments, use
-      `patches.CirclePolygon`.
-
-    - The printing functions in the Wx backend have been removed due
-      to the burden of keeping them up-to-date.
-
-    - `mlab.liaupunov` has been removed.
-
-    - `mlab.save`, `mlab.load`, `pylab.save` and `pylab.load` have
-      been removed.  We recommend using `numpy.savetxt` and
-      `numpy.loadtxt` instead.
-
-    - `widgets.HorizontalSpanSelector` has been removed.  Use
-      `widgets.SpanSelector` instead.
-
-Code deprecation
-----------------
-
-* The CocoaAgg backend has been deprecated, with the possibility for
-  deletion or resurrection in a future release.
-
-* The top-level functions in `matplotlib.path` that are implemented in
-  C++ were never meant to be public.  Instead, users should use the
-  Pythonic wrappers for them in the `path.Path` and
-  `collections.Collection` classes.  Use the following mapping to update
-  your code:
-
-    - `point_in_path` -> `path.Path.contains_point`
-    - `get_path_extents` -> `path.Path.get_extents`
-    - `point_in_path_collection` -> `collection.Collection.contains`
-    - `path_in_path` -> `path.Path.contains_path`
-    - `path_intersects_path` -> `path.Path.intersects_path`
-    - `convert_path_to_polygons` -> `path.Path.to_polygons`
-    - `cleanup_path` -> `path.Path.cleaned`
-    - `points_in_path` -> `path.Path.contains_points`
-    - `clip_path_to_rect` -> `path.Path.clip_to_bbox`
-
-* `matplotlib.colors.normalize` and `matplotlib.colors.no_norm` have
-  been deprecated in favour of `matplotlib.colors.Normalize` and
-  `matplotlib.colors.NoNorm` respectively.
-
-* The `ScalarMappable` class' `set_colorbar` is now
-  deprecated. Instead, the
-  :attr:`matplotlib.cm.ScalarMappable.colorbar` attribute should be
-  used.  In previous matplotlib versions this attribute was an
-  undocumented tuple of ``(colorbar_instance, colorbar_axes)`` but is
-  now just ``colorbar_instance``. To get the colorbar axes it is
-  possible to just use the
-  :attr:`~matplotlib.colorbar.ColorbarBase.ax` attribute on a colorbar
-  instance.
-
-* The `~matplotlib.mpl` module is now deprecated. Those who relied on this
-  module should transition to simply using ``import matplotlib as mpl``.
-
-Code changes
-------------
-
-* :class:`~matplotlib.patches.Patch` now fully supports using RGBA values for
-  its ``facecolor`` and ``edgecolor`` attributes, which enables faces and
-  edges to have different alpha values. If the
-  :class:`~matplotlib.patches.Patch` object's ``alpha`` attribute is set to
-  anything other than ``None``, that value will override any alpha-channel
-  value in both the face and edge colors. Previously, if
-  :class:`~matplotlib.patches.Patch` had ``alpha=None``, the alpha component
-  of ``edgecolor`` would be applied to both the edge and face.
-
-* The optional ``isRGB`` argument to
-  :meth:`~matplotlib.backend_bases.GraphicsContextBase.set_foreground` (and
-  the other GraphicsContext classes that descend from it) has been renamed to
-  ``isRGBA``, and should now only be set to ``True`` if the ``fg`` color
-  argument is known to be an RGBA tuple.
-
-* For :class:`~matplotlib.patches.Patch`, the ``capstyle`` used is now
-  ``butt``, to be consistent with the default for most other objects, and to
-  avoid problems with non-solid ``linestyle`` appearing solid when using a
-  large ``linewidth``. Previously, :class:`~matplotlib.patches.Patch` used
-  ``capstyle='projecting'``.
-
-* `Path` objects can now be marked as `readonly` by passing
-  `readonly=True` to its constructor.  The built-in path singletons,
-  obtained through `Path.unit*` class methods return readonly paths.
-  If you have code that modified these, you will need to make a
-  deepcopy first, using either::
-
-    import copy
-    path = copy.deepcopy(Path.unit_circle())
-
-    # or
-
-    path = Path.unit_circle().deepcopy()
-
-  Deep copying a `Path` always creates an editable (i.e. non-readonly)
-  `Path`.
-
-* The list at ``Path.NUM_VERTICES`` was replaced by a dictionary mapping
-  Path codes to the number of expected vertices at
-  :attr:`~matplotlib.path.Path.NUM_VERTICES_FOR_CODE`.
-
-* To support XKCD style plots, the :func:`matplotlib.path.cleanup_path`
-  method's signature was updated to require a sketch argument. Users of
-  :func:`matplotlib.path.cleanup_path` are encouraged to use the new
-  :meth:`~matplotlib.path.Path.cleaned` Path method.
-
-* Data limits on a plot now start from a state of having "null"
-  limits, rather than limits in the range (0, 1).  This has an effect
-  on artists that only control limits in one direction, such as
-  `axvline` and `axhline`, since their limits will not longer also
-  include the range (0, 1).  This fixes some problems where the
-  computed limits would be dependent on the order in which artists
-  were added to the axes.
-
-* Fixed a bug in setting the position for the right/top spine with data
-  position type. Previously, it would draw the right or top spine at
-  +1 data offset.
-
-* In :class:`~matplotlib.patches.FancyArrow`, the default arrow head
-  width, ``head_width``, has been made larger to produce a visible
-  arrow head. The new value of this kwarg is ``head_width = 20 *
-  width``.
-
-* It is now possible to provide ``number of levels + 1`` colors in the case of
-  `extend='both'` for contourf (or just ``number of levels`` colors for an
-  extend value ``min`` or ``max``) such that the resulting colormap's
-  ``set_under`` and ``set_over`` are defined appropriately. Any other number
-  of colors will continue to behave as before (if more colors are provided
-  than levels, the colors will be unused). A similar change has been applied
-  to contour, where ``extend='both'`` would expect ``number of levels + 2``
-  colors.
-
-* A new keyword *extendrect* in :meth:`~matplotlib.pyplot.colorbar` and
-  :class:`~matplotlib.colorbar.ColorbarBase` allows one to control the shape
-  of colorbar extensions.
-
-* The extension of :class:`~matplotlib.widgets.MultiCursor` to both vertical
-  (default) and/or horizontal cursor implied that ``self.line`` is replaced
-  by ``self.vline`` for vertical cursors lines and ``self.hline`` is added
-  for the horizontal cursors lines.
-
-* On POSIX platforms, the :func:`~matplotlib.cbook.report_memory` function
-  raises :class:`NotImplementedError` instead of :class:`OSError` if the
-  :command:`ps` command cannot be run.
-
-* The :func:`matplotlib.cbook.check_output` function has been moved to
-  :func:`matplotlib.compat.subprocess`.
-
-Configuration and rcParams
---------------------------
-
-* On Linux, the user-specific `matplotlibrc` configuration file is now
-  located in `~/.config/matplotlib/matplotlibrc` to conform to the
-  `XDG Base Directory Specification
-  <http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html>`_.
-
-* The `font.*` rcParams now affect only text objects created after the
-  rcParam has been set, and will not retroactively affect already
-  existing text objects.  This brings their behavior in line with most
-  other rcParams.
-
-* Removed call of :meth:`~matplotlib.axes.Axes.grid` in
-  :meth:`~matplotlib.pyplot.plotfile`. To draw the axes grid, set the
-  ``axes.grid`` rcParam to *True*, or explicitly call
-  :meth:`~matplotlib.axes.Axes.grid`.
-
-Changes in 1.2.x
-================
-
-* The ``classic`` option of the rc parameter ``toolbar`` is deprecated
-  and will be removed in the next release.
-
-* The :meth:`~matplotlib.cbook.isvector` method has been removed since it
-  is no longer functional.
-
-* The `rasterization_zorder` property on `~matplotlib.axes.Axes` a
-  zorder below which artists are rasterized.  This has defaulted to
-  -30000.0, but it now defaults to `None`, meaning no artists will be
-  rasterized.  In order to rasterize artists below a given zorder
-  value, `set_rasterization_zorder` must be explicitly called.
-
-* In :meth:`~matplotlib.axes.Axes.scatter`, and `~pyplot.scatter`,
-  when specifying a marker using a tuple, the angle is now specified
-  in degrees, not radians.
-
-* Using :meth:`~matplotlib.axes.Axes.twinx` or
-  :meth:`~matplotlib.axes.Axes.twiny` no longer overrides the current locaters
-  and formatters on the axes.
-
-* In :meth:`~matplotlib.axes.Axes.contourf`, the handling of the *extend*
-  kwarg has changed.  Formerly, the extended ranges were mapped
-  after to 0, 1 after being normed, so that they always corresponded
-  to the extreme values of the colormap.  Now they are mapped
-  outside this range so that they correspond to the special
-  colormap values determined by the
-  :meth:`~matplotlib.colors.Colormap.set_under` and
-  :meth:`~matplotlib.colors.Colormap.set_over` methods, which
-  default to the colormap end points.
-
-* The new rc parameter ``savefig.format`` replaces ``cairo.format`` and
-  ``savefig.extension``, and sets the default file format used by
-  :meth:`matplotlib.figure.Figure.savefig`.
-
-* In :meth:`~matplotlib.pyplot.pie` and :meth:`~matplotlib.Axes.pie`, one can
-  now set the radius of the pie; setting the *radius* to 'None' (the default
-  value), will result in a pie with a radius of 1 as before.
-
-* Use of :func:`~matplotlib.projections.projection_factory` is now deprecated
-  in favour of axes class identification using
-  :func:`~matplotlib.projections.process_projection_requirements` followed by
-  direct axes class invocation (at the time of writing, functions which do this
-  are: :meth:`~matplotlib.figure.Figure.add_axes`,
-  :meth:`~matplotlib.figure.Figure.add_subplot` and
-  :meth:`~matplotlib.figure.Figure.gca`). Therefore::
-
-
-      key = figure._make_key(*args, **kwargs)
-      ispolar = kwargs.pop('polar', False)
-      projection = kwargs.pop('projection', None)
-      if ispolar:
-          if projection is not None and projection != 'polar':
-              raise ValueError('polar and projection args are inconsistent')
-          projection = 'polar'
-      ax = projection_factory(projection, self, rect, **kwargs)
-      key = self._make_key(*args, **kwargs)
-
-      # is now
-
-      projection_class, kwargs, key = \
-                         process_projection_requirements(self, *args, **kwargs)
-      ax = projection_class(self, rect, **kwargs)
-
-  This change means that third party objects can expose themselves as
-  matplotlib axes by providing a ``_as_mpl_axes`` method. See
-  :ref:`adding-new-scales` for more detail.
-
-* A new keyword *extendfrac* in :meth:`~matplotlib.pyplot.colorbar` and
-  :class:`~matplotlib.colorbar.ColorbarBase` allows one to control the size of
-  the triangular minimum and maximum extensions on colorbars.
-
-* A new keyword *capthick* in :meth:`~matplotlib.pyplot.errorbar` has been
-  added as an intuitive alias to the *markeredgewidth* and *mew* keyword
-  arguments, which indirectly controlled the thickness of the caps on
-  the errorbars.  For backwards compatibility, specifying either of the
-  original keyword arguments will override any value provided by
-  *capthick*.
-
-* Transform subclassing behaviour is now subtly changed. If your transform
-  implements a non-affine transformation, then it should override the
-  ``transform_non_affine`` method, rather than the generic ``transform`` method.
-  Previously transforms would define ``transform`` and then copy the
-  method into ``transform_non_affine``::
-
-     class MyTransform(mtrans.Transform):
-         def transform(self, xy):
-             ...
-         transform_non_affine = transform
-
-
-  This approach will no longer function correctly and should be changed to::
-
-     class MyTransform(mtrans.Transform):
-         def transform_non_affine(self, xy):
-             ...
-
-
-* Artists no longer have ``x_isdata`` or ``y_isdata`` attributes; instead
-  any artist's transform can be interrogated with
-  ``artist_instance.get_transform().contains_branch(ax.transData)``
-
-* Lines added to an axes now take into account their transform when updating the
-  data and view limits. This means transforms can now be used as a pre-transform.
-  For instance::
-
-      >>> import matplotlib.pyplot as plt
-      >>> import matplotlib.transforms as mtrans
-      >>> ax = plt.axes()
-      >>> ax.plot(range(10), transform=mtrans.Affine2D().scale(10) + ax.transData)
-      >>> print(ax.viewLim)
-      Bbox('array([[  0.,   0.],\n       [ 90.,  90.]])')
-
-* One can now easily get a transform which goes from one transform's coordinate
-  system to another, in an optimized way, using the new subtract method on a
-  transform. For instance, to go from data coordinates to axes coordinates::
-
-      >>> import matplotlib.pyplot as plt
-      >>> ax = plt.axes()
-      >>> data2ax = ax.transData - ax.transAxes
-      >>> print(ax.transData.depth, ax.transAxes.depth)
-      3, 1
-      >>> print(data2ax.depth)
-      2
-
-  for versions before 1.2 this could only be achieved in a sub-optimal way,
-  using ``ax.transData + ax.transAxes.inverted()`` (depth is a new concept,
-  but had it existed it would return 4 for this example).
-
-* ``twinx`` and ``twiny`` now returns an instance of SubplotBase if
-  parent axes is an instance of SubplotBase.
-
-* All Qt3-based backends are now deprecated due to the lack of py3k bindings.
-  Qt and QtAgg backends will continue to work in v1.2.x for py2.6
-  and py2.7. It is anticipated that the Qt3 support will be completely
-  removed for the next release.
-
-* :class:`~matplotlib.colors.ColorConverter`,
-  :class:`~matplotlib.colors.Colormap` and
-  :class:`~matplotlib.colors.Normalize` now subclasses ``object``
-
-* ContourSet instances no longer have a ``transform`` attribute. Instead,
-  access the transform with the ``get_transform`` method.
-
-Changes in 1.1.x
-================
-
-* Added new :class:`matplotlib.sankey.Sankey` for generating Sankey diagrams.
-
-* In :meth:`~matplotlib.pyplot.imshow`, setting *interpolation* to 'nearest'
-  will now always mean that the nearest-neighbor interpolation is performed.
-  If you want the no-op interpolation to be performed, choose 'none'.
-
-* There were errors in how the tri-functions were handling input parameters
-  that had to be fixed. If your tri-plots are not working correctly anymore,
-  or you were working around apparent mistakes, please see issue #203 in the
-  github tracker. When in doubt, use kwargs.
-
-* The 'symlog' scale had some bad behavior in previous versions. This has now
-  been fixed and users should now be able to use it without frustrations.
-  The fixes did result in some minor changes in appearance for some users who
-  may have been depending on the bad behavior.
-
-* There is now a common set of markers for all plotting functions. Previously,
-  some markers existed only for :meth:`~matplotlib.pyplot.scatter` or just for
-  :meth:`~matplotlib.pyplot.plot`. This is now no longer the case. This merge
-  did result in a conflict. The string 'd' now means "thin diamond" while
-  'D' will mean "regular diamond".
-
-Changes beyond 0.99.x
-=====================
-
-* The default behavior of :meth:`matplotlib.axes.Axes.set_xlim`,
-  :meth:`matplotlib.axes.Axes.set_ylim`, and
-  :meth:`matplotlib.axes.Axes.axis`, and their corresponding
-  pyplot functions, has been changed: when view limits are
-  set explicitly with one of these methods, autoscaling is turned
-  off for the matching axis. A new *auto* kwarg is available to
-  control this behavior. The limit kwargs have been renamed to
-  *left* and *right* instead of *xmin* and *xmax*, and *bottom*
-  and *top* instead of *ymin* and *ymax*.  The old names may still
-  be used, however.
-
-* There are five new Axes methods with corresponding pyplot
-  functions to facilitate autoscaling, tick location, and tick
-  label formatting, and the general appearance of ticks and
-  tick labels:
-
-  + :meth:`matplotlib.axes.Axes.autoscale` turns autoscaling
-    on or off, and applies it.
-
-  + :meth:`matplotlib.axes.Axes.margins` sets margins used to
-    autoscale the :attr:`matplotlib.axes.Axes.viewLim` based on
-    the :attr:`matplotlib.axes.Axes.dataLim`.
-
-  + :meth:`matplotlib.axes.Axes.locator_params` allows one to
-    adjust axes locator parameters such as *nbins*.
-
-  + :meth:`matplotlib.axes.Axes.ticklabel_format` is a convenience
-    method for controlling the :class:`matplotlib.ticker.ScalarFormatter`
-    that is used by default with linear axes.
-
-  + :meth:`matplotlib.axes.Axes.tick_params` controls direction, size,
-    visibility, and color of ticks and their labels.
-
-* The :meth:`matplotlib.axes.Axes.bar` method accepts a *error_kw*
-  kwarg; it is a dictionary of kwargs to be passed to the
-  errorbar function.
-
-* The :meth:`matplotlib.axes.Axes.hist` *color* kwarg now accepts
-  a sequence of color specs to match a sequence of datasets.
-
-* The :class:`~matplotlib.collections.EllipseCollection` has been
-  changed in two ways:
-
-  + There is a new *units* option, 'xy', that scales the ellipse with
-    the data units.  This matches the :class:'~matplotlib.patches.Ellipse`
-    scaling.
-
-  + The *height* and *width* kwargs have been changed to specify
-    the height and width, again for consistency with
-    :class:`~matplotlib.patches.Ellipse`, and to better match
-    their names; previously they specified the half-height and
-    half-width.
-
-* There is a new rc parameter ``axes.color_cycle``, and the color
-  cycle is now independent of the rc parameter ``lines.color``.
-  :func:`matplotlib.Axes.set_default_color_cycle` is deprecated.
-
-* You can now print several figures to one pdf file and modify the
-  document information dictionary of a pdf file. See the docstrings
-  of the class :class:`matplotlib.backends.backend_pdf.PdfPages` for
-  more information.
-
-* Removed configobj_ and `enthought.traits`_ packages, which are only
-  required by the experimental traited config and are somewhat out of
-  date. If needed, install them independently.
-
-.. _configobj: http://www.voidspace.org.uk/python/configobj.html
-.. _`enthought.traits`: http://code.enthought.com/projects/traits
-
-* The new rc parameter ``savefig.extension`` sets the filename extension
-  that is used by :meth:`matplotlib.figure.Figure.savefig` if its *fname*
-  argument lacks an extension.
-
-* In an effort to simplify the backend API, all clipping rectangles
-  and paths are now passed in using GraphicsContext objects, even
-  on collections and images.  Therefore::
-
-    draw_path_collection(self, master_transform, cliprect, clippath,
-                         clippath_trans, paths, all_transforms, offsets,
-                         offsetTrans, facecolors, edgecolors, linewidths,
-                         linestyles, antialiaseds, urls)
-
-    # is now
-
-    draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                         offsets, offsetTrans, facecolors, edgecolors,
-                         linewidths, linestyles, antialiaseds, urls)
-
-
-    draw_quad_mesh(self, master_transform, cliprect, clippath,
-                   clippath_trans, meshWidth, meshHeight, coordinates,
-                   offsets, offsetTrans, facecolors, antialiased,
-                   showedges)
-
-    # is now
-
-    draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
-                   coordinates, offsets, offsetTrans, facecolors,
-                   antialiased, showedges)
-
-
-    draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None)
-
-    # is now
-
-    draw_image(self, gc, x, y, im)
-
-* There are four new Axes methods with corresponding pyplot
-  functions that deal with unstructured triangular grids:
-
-  + :meth:`matplotlib.axes.Axes.tricontour` draws contour lines
-    on a triangular grid.
-
-  + :meth:`matplotlib.axes.Axes.tricontourf` draws filled contours
-    on a triangular grid.
-
-  + :meth:`matplotlib.axes.Axes.tripcolor` draws a pseudocolor
-    plot on a triangular grid.
-
-  + :meth:`matplotlib.axes.Axes.triplot` draws a triangular grid
-    as lines and/or markers.
-
-Changes in 0.99
-======================
-
-* pylab no longer provides a load and save function.  These are
-  available in matplotlib.mlab, or you can use numpy.loadtxt and
-  numpy.savetxt for text files, or np.save and np.load for binary
-  numpy arrays.
-
-* User-generated colormaps can now be added to the set recognized
-  by :func:`matplotlib.cm.get_cmap`.  Colormaps can be made the
-  default and applied to the current image using
-  :func:`matplotlib.pyplot.set_cmap`.
-
-* changed use_mrecords default to False in mlab.csv2rec since this is
-  partially broken
-
-* Axes instances no longer have a "frame" attribute. Instead, use the
-  new "spines" attribute. Spines is a dictionary where the keys are
-  the names of the spines (e.g., 'left','right' and so on) and the
-  values are the artists that draw the spines. For normal
-  (rectilinear) axes, these artists are Line2D instances. For other
-  axes (such as polar axes), these artists may be Patch instances.
-
-* Polar plots no longer accept a resolution kwarg.  Instead, each Path
-  must specify its own number of interpolation steps.  This is
-  unlikely to be a user-visible change -- if interpolation of data is
-  required, that should be done before passing it to matplotlib.
-
-Changes for 0.98.x
-==================
-* psd(), csd(), and cohere() will now automatically wrap negative
-  frequency components to the beginning of the returned arrays.
-  This is much more sensible behavior and makes them consistent
-  with specgram().  The previous behavior was more of an oversight
-  than a design decision.
-
-* Added new keyword parameters *nonposx*, *nonposy* to
-  :class:`matplotlib.axes.Axes` methods that set log scale
-  parameters.  The default is still to mask out non-positive
-  values, but the kwargs accept 'clip', which causes non-positive
-  values to be replaced with a very small positive value.
-
-* Added new :func:`matplotlib.pyplot.fignum_exists` and
-  :func:`matplotlib.pyplot.get_fignums`; they merely expose
-  information that had been hidden in :mod:`matplotlib._pylab_helpers`.
-
-* Deprecated numerix package.
-
-* Added new :func:`matplotlib.image.imsave` and exposed it to the
-  :mod:`matplotlib.pyplot` interface.
-
-* Remove support for pyExcelerator in exceltools -- use xlwt
-  instead
-
-* Changed the defaults of acorr and xcorr to use usevlines=True,
-  maxlags=10 and normed=True since these are the best defaults
-
-* Following keyword parameters for :class:`matplotlib.label.Label` are now
-  deprecated and new set of parameters are introduced. The new parameters
-  are given as a fraction of the font-size. Also, *scatteryoffsets*,
-  *fancybox* and *columnspacing* are added as keyword parameters.
-
-        ================   ================
-        Deprecated         New
-        ================   ================
-        pad                borderpad
-        labelsep           labelspacing
-        handlelen          handlelength
-        handlestextsep     handletextpad
-        axespad            borderaxespad
-        ================   ================
-
-
-* Removed the configobj and experimental traits rc support
-
-* Modified :func:`matplotlib.mlab.psd`, :func:`matplotlib.mlab.csd`,
-  :func:`matplotlib.mlab.cohere`, and :func:`matplotlib.mlab.specgram`
-  to scale one-sided densities by a factor of 2.  Also, optionally
-  scale the densities by the sampling frequency, which gives true values
-  of densities that can be integrated by the returned frequency values.
-  This also gives better MATLAB compatibility.  The corresponding
-  :class:`matplotlib.axes.Axes` methods and :mod:`matplotlib.pyplot`
-  functions were updated as well.
-
-* Font lookup now uses a nearest-neighbor approach rather than an
-  exact match.  Some fonts may be different in plots, but should be
-  closer to what was requested.
-
-* :meth:`matplotlib.axes.Axes.set_xlim`,
-  :meth:`matplotlib.axes.Axes.set_ylim` now return a copy of the
-  :attr:`viewlim` array to avoid modify-in-place surprises.
-
-* :meth:`matplotlib.afm.AFM.get_fullname` and
-  :meth:`matplotlib.afm.AFM.get_familyname` no longer raise an
-  exception if the AFM file does not specify these optional
-  attributes, but returns a guess based on the required FontName
-  attribute.
-
-* Changed precision kwarg in :func:`matplotlib.pyplot.spy`; default is
-  0, and the string value 'present' is used for sparse arrays only to
-  show filled locations.
-
-* :class:`matplotlib.collections.EllipseCollection` added.
-
-* Added ``angles`` kwarg to :func:`matplotlib.pyplot.quiver` for more
-  flexible specification of the arrow angles.
-
-* Deprecated (raise NotImplementedError) all the mlab2 functions from
-  :mod:`matplotlib.mlab` out of concern that some of them were not
-  clean room implementations.
-
-* Methods :meth:`matplotlib.collections.Collection.get_offsets` and
-  :meth:`matplotlib.collections.Collection.set_offsets` added to
-  :class:`~matplotlib.collections.Collection` base class.
-
-* :attr:`matplotlib.figure.Figure.figurePatch` renamed
-  :attr:`matplotlib.figure.Figure.patch`;
-  :attr:`matplotlib.axes.Axes.axesPatch` renamed
-  :attr:`matplotlib.axes.Axes.patch`;
-  :attr:`matplotlib.axes.Axes.axesFrame` renamed
-  :attr:`matplotlib.axes.Axes.frame`.
-  :meth:`matplotlib.axes.Axes.get_frame`, which returns
-  :attr:`matplotlib.axes.Axes.patch`, is deprecated.
-
-* Changes in the :class:`matplotlib.contour.ContourLabeler` attributes
-  (:func:`matplotlib.pyplot.clabel` function) so that they all have a
-  form like ``.labelAttribute``.  The three attributes that are most
-  likely to be used by end users, ``.cl``, ``.cl_xy`` and
-  ``.cl_cvalues`` have been maintained for the moment (in addition to
-  their renamed versions), but they are deprecated and will eventually
-  be removed.
-
-* Moved several functions in :mod:`matplotlib.mlab` and
-  :mod:`matplotlib.cbook` into a separate module
-  :mod:`matplotlib.numerical_methods` because they were unrelated to
-  the initial purpose of mlab or cbook and appeared more coherent
-  elsewhere.
-
-Changes for 0.98.1
-==================
-
-* Removed broken :mod:`matplotlib.axes3d` support and replaced it with
-  a non-implemented error pointing to 0.91.x
-
-Changes for 0.98.0
-==================
-
-* :func:`matplotlib.image.imread` now no longer always returns RGBA data---if
-  the image is luminance or RGB, it will return a MxN or MxNx3 array
-  if possible.  Also uint8 is no longer always forced to float.
-
-* Rewrote the :class:`matplotlib.cm.ScalarMappable` callback
-  infrastructure to use :class:`matplotlib.cbook.CallbackRegistry`
-  rather than custom callback handling.  Any users of
-  :meth:`matplotlib.cm.ScalarMappable.add_observer` of the
-  :class:`~matplotlib.cm.ScalarMappable` should use the
-  :attr:`matplotlib.cm.ScalarMappable.callbacks`
-  :class:`~matplotlib.cbook.CallbackRegistry` instead.
-
-* New axes function and Axes method provide control over the plot
-  color cycle: :func:`matplotlib.axes.set_default_color_cycle` and
-  :meth:`matplotlib.axes.Axes.set_color_cycle`.
-
-* matplotlib now requires Python 2.4, so :mod:`matplotlib.cbook` will
-  no longer provide :class:`set`, :func:`enumerate`, :func:`reversed`
-  or :func:`izip` compatibility functions.
-
-* In Numpy 1.0, bins are specified by the left edges only.  The axes
-  method :meth:`matplotlib.axes.Axes.hist` now uses future Numpy 1.3
-  semantics for histograms.  Providing ``binedges``, the last value gives
-  the upper-right edge now, which was implicitly set to +infinity in
-  Numpy 1.0.  This also means that the last bin doesn't contain upper
-  outliers any more by default.
-
-* New axes method and pyplot function,
-  :func:`~matplotlib.pyplot.hexbin`, is an alternative to
-  :func:`~matplotlib.pyplot.scatter` for large datasets.  It makes
-  something like a :func:`~matplotlib.pyplot.pcolor` of a 2-D
-  histogram, but uses hexagonal bins.
-
-* New kwarg, ``symmetric``, in :class:`matplotlib.ticker.MaxNLocator`
-  allows one require an axis to be centered around zero.
-
-* Toolkits must now be imported from ``mpl_toolkits`` (not ``matplotlib.toolkits``)
-
-Notes about the transforms refactoring
---------------------------------------
-
-A major new feature of the 0.98 series is a more flexible and
-extensible transformation infrastructure, written in Python/Numpy
-rather than a custom C extension.
-
-The primary goal of this refactoring was to make it easier to
-extend matplotlib to support new kinds of projections.  This is
-mostly an internal improvement, and the possible user-visible
-changes it allows are yet to come.
-
-See :mod:`matplotlib.transforms` for a description of the design of
-the new transformation framework.
-
-For efficiency, many of these functions return views into Numpy
-arrays.  This means that if you hold on to a reference to them,
-their contents may change.  If you want to store a snapshot of
-their current values, use the Numpy array method copy().
-
-The view intervals are now stored only in one place -- in the
-:class:`matplotlib.axes.Axes` instance, not in the locator instances
-as well.  This means locators must get their limits from their
-:class:`matplotlib.axis.Axis`, which in turn looks up its limits from
-the :class:`~matplotlib.axes.Axes`.  If a locator is used temporarily
-and not assigned to an Axis or Axes, (e.g., in
-:mod:`matplotlib.contour`), a dummy axis must be created to store its
-bounds.  Call :meth:`matplotlib.ticker.Locator.create_dummy_axis` to
-do so.
-
-The functionality of :class:`Pbox` has been merged with
-:class:`~matplotlib.transforms.Bbox`.  Its methods now all return
-copies rather than modifying in place.
-
-The following lists many of the simple changes necessary to update
-code from the old transformation framework to the new one.  In
-particular, methods that return a copy are named with a verb in the
-past tense, whereas methods that alter an object in place are named
-with a verb in the present tense.
-
-:mod:`matplotlib.transforms`
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-:meth:`Bbox.get_bounds`                                      :attr:`transforms.Bbox.bounds`
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.width`                                           :attr:`transforms.Bbox.width`
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.height`                                          :attr:`transforms.Bbox.height`
------------------------------------------------------------- ------------------------------------------------------------
-`Bbox.intervalx().get_bounds()`                              :attr:`transforms.Bbox.intervalx`
-`Bbox.intervalx().set_bounds()`                              [:attr:`Bbox.intervalx` is now a property.]
------------------------------------------------------------- ------------------------------------------------------------
-`Bbox.intervaly().get_bounds()`                              :attr:`transforms.Bbox.intervaly`
-`Bbox.intervaly().set_bounds()`                              [:attr:`Bbox.intervaly` is now a property.]
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.xmin`                                            :attr:`transforms.Bbox.x0` or
-                                                             :attr:`transforms.Bbox.xmin` [1]_
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.ymin`                                            :attr:`transforms.Bbox.y0` or
-                                                             :attr:`transforms.Bbox.ymin` [1]_
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.xmax`                                            :attr:`transforms.Bbox.x1` or
-                                                             :attr:`transforms.Bbox.xmax` [1]_
------------------------------------------------------------- ------------------------------------------------------------
-:meth:`Bbox.ymax`                                            :attr:`transforms.Bbox.y1` or
-                                                             :attr:`transforms.Bbox.ymax` [1]_
------------------------------------------------------------- ------------------------------------------------------------
-`Bbox.overlaps(bboxes)`                                      `Bbox.count_overlaps(bboxes)`
------------------------------------------------------------- ------------------------------------------------------------
-`bbox_all(bboxes)`                                           `Bbox.union(bboxes)`
-                                                             [:meth:`transforms.Bbox.union` is a staticmethod.]
------------------------------------------------------------- ------------------------------------------------------------
-`lbwh_to_bbox(l, b, w, h)`                                   `Bbox.from_bounds(x0, y0, w, h)`
-                                                             [:meth:`transforms.Bbox.from_bounds` is a staticmethod.]
------------------------------------------------------------- ------------------------------------------------------------
-`inverse_transform_bbox(trans, bbox)`                        `Bbox.inverse_transformed(trans)`
------------------------------------------------------------- ------------------------------------------------------------
-`Interval.contains_open(v)`                                  `interval_contains_open(tuple, v)`
------------------------------------------------------------- ------------------------------------------------------------
-`Interval.contains(v)`                                       `interval_contains(tuple, v)`
------------------------------------------------------------- ------------------------------------------------------------
-`identity_transform()`                                       :class:`matplotlib.transforms.IdentityTransform`
------------------------------------------------------------- ------------------------------------------------------------
-`blend_xy_sep_transform(xtrans, ytrans)`                     `blended_transform_factory(xtrans, ytrans)`
------------------------------------------------------------- ------------------------------------------------------------
-`scale_transform(xs, ys)`                                    `Affine2D().scale(xs[, ys])`
------------------------------------------------------------- ------------------------------------------------------------
-`get_bbox_transform(boxin, boxout)`                          `BboxTransform(boxin, boxout)` or
-                                                             `BboxTransformFrom(boxin)` or
-                                                             `BboxTransformTo(boxout)`
------------------------------------------------------------- ------------------------------------------------------------
-`Transform.seq_xy_tup(points)`                               `Transform.transform(points)`
------------------------------------------------------------- ------------------------------------------------------------
-`Transform.inverse_xy_tup(points)`                           `Transform.inverted().transform(points)`
-============================================================ ============================================================
-
-.. [1] The :class:`~matplotlib.transforms.Bbox` is bound by the points
-   (x0, y0) to (x1, y1) and there is no defined order to these points,
-   that is, x0 is not necessarily the left edge of the box.  To get
-   the left edge of the :class:`Bbox`, use the read-only property
-   :attr:`~matplotlib.transforms.Bbox.xmin`.
-
-:mod:`matplotlib.axes`
-~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`Axes.get_position()`                                        :meth:`matplotlib.axes.Axes.get_position` [2]_
------------------------------------------------------------- ------------------------------------------------------------
-`Axes.set_position()`                                        :meth:`matplotlib.axes.Axes.set_position` [3]_
------------------------------------------------------------- ------------------------------------------------------------
-`Axes.toggle_log_lineary()`                                  :meth:`matplotlib.axes.Axes.set_yscale` [4]_
------------------------------------------------------------- ------------------------------------------------------------
-`Subplot` class                                              removed.
-============================================================ ============================================================
-
-The :class:`Polar` class has moved to :mod:`matplotlib.projections.polar`.
-
-.. [2] :meth:`matplotlib.axes.Axes.get_position` used to return a list
-   of points, now it returns a :class:`matplotlib.transforms.Bbox`
-   instance.
-
-.. [3] :meth:`matplotlib.axes.Axes.set_position` now accepts either
-   four scalars or a :class:`matplotlib.transforms.Bbox` instance.
-
-.. [4] Since the recfactoring allows for more than two scale types
-   ('log' or 'linear'), it no longer makes sense to have a toggle.
-   `Axes.toggle_log_lineary()` has been removed.
-
-:mod:`matplotlib.artist`
-~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`Artist.set_clip_path(path)`                                 `Artist.set_clip_path(path, transform)` [5]_
-============================================================ ============================================================
-
-.. [5] :meth:`matplotlib.artist.Artist.set_clip_path` now accepts a
-   :class:`matplotlib.path.Path` instance and a
-   :class:`matplotlib.transforms.Transform` that will be applied to
-   the path immediately before clipping.
-
-:mod:`matplotlib.collections`
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`linestyle`                                                  `linestyles` [6]_
-============================================================ ============================================================
-
-.. [6] Linestyles are now treated like all other collection
-   attributes, i.e.  a single value or multiple values may be
-   provided.
-
-:mod:`matplotlib.colors`
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`ColorConvertor.to_rgba_list(c)`                             `ColorConvertor.to_rgba_array(c)`
-                                                             [:meth:`matplotlib.colors.ColorConvertor.to_rgba_array`
-                                                             returns an Nx4 Numpy array of RGBA color quadruples.]
-============================================================ ============================================================
-
-:mod:`matplotlib.contour`
-~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`Contour._segments`                                          :meth:`matplotlib.contour.Contour.get_paths`` [Returns a
-                                                             list of :class:`matplotlib.path.Path` instances.]
-============================================================ ============================================================
-
-:mod:`matplotlib.figure`
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`Figure.dpi.get()` / `Figure.dpi.set()`                      :attr:`matplotlib.figure.Figure.dpi` *(a property)*
-============================================================ ============================================================
-
-:mod:`matplotlib.patches`
-~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`Patch.get_verts()`                                          :meth:`matplotlib.patches.Patch.get_path` [Returns a
-                                                             :class:`matplotlib.path.Path` instance]
-============================================================ ============================================================
-
-:mod:`matplotlib.backend_bases`
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-============================================================ ============================================================
-Old method                                                   New method
-============================================================ ============================================================
-`GraphicsContext.set_clip_rectangle(tuple)`                  `GraphicsContext.set_clip_rectangle(bbox)`
------------------------------------------------------------- ------------------------------------------------------------
-`GraphicsContext.get_clip_path()`                            `GraphicsContext.get_clip_path()` [7]_
------------------------------------------------------------- ------------------------------------------------------------
-`GraphicsContext.set_clip_path()`                            `GraphicsContext.set_clip_path()` [8]_
-============================================================ ============================================================
-
-:class:`~matplotlib.backend_bases.RendererBase`
-```````````````````````````````````````````````
-
-New methods:
-
-  * :meth:`draw_path(self, gc, path, transform, rgbFace)
-    <matplotlib.backend_bases.RendererBase.draw_path>`
-
-  * :meth:`draw_markers(self, gc, marker_path, marker_trans, path,
-    trans, rgbFace)
-    <matplotlib.backend_bases.RendererBase.draw_markers`
-
-  * :meth:`draw_path_collection(self, master_transform, cliprect,
-    clippath, clippath_trans, paths, all_transforms, offsets,
-    offsetTrans, facecolors, edgecolors, linewidths, linestyles,
-    antialiaseds)
-    <matplotlib.backend_bases.RendererBase.draw_path_collection>`
-    *[optional]*
-
-Changed methods:
-
-  * `draw_image(self, x, y, im, bbox)` is now
-    :meth:`draw_image(self, x, y, im, bbox, clippath, clippath_trans)
-    <matplotlib.backend_bases.RendererBase.draw_image>`
-
-Removed methods:
-
-  * `draw_arc`
-
-  * `draw_line_collection`
-
-  * `draw_line`
-
-  * `draw_lines`
-
-  * `draw_point`
-
-  * `draw_quad_mesh`
-
-  * `draw_poly_collection`
-
-  * `draw_polygon`
-
-  * `draw_rectangle`
-
-  * `draw_regpoly_collection`
-
-.. [7] :meth:`matplotlib.backend_bases.GraphicsContext.get_clip_path`
-   returns a tuple of the form (*path*, *affine_transform*), where
-   *path* is a :class:`matplotlib.path.Path` instance and
-   *affine_transform* is a :class:`matplotlib.transforms.Affine2D`
-   instance.
-
-.. [8] :meth:`matplotlib.backend_bases.GraphicsContext.set_clip_path`
-   now only accepts a :class:`matplotlib.transforms.TransformedPath`
-   instance.
-
-Changes for 0.91.2
-==================
-
-* For :func:`csv2rec`, checkrows=0 is the new default indicating all rows
-  will be checked for type inference
-
-* A warning is issued when an image is drawn on log-scaled axes, since
-  it will not log-scale the image data.
-
-* Moved :func:`rec2gtk` to :mod:`matplotlib.toolkits.gtktools`
-
-* Moved :func:`rec2excel` to :mod:`matplotlib.toolkits.exceltools`
-
-* Removed, dead/experimental ExampleInfo, Namespace and Importer
-  code from :mod:`matplotlib.__init__`
-
-Changes for 0.91.1
-==================
-
-Changes for 0.91.0
-==================
-
-* Changed :func:`cbook.is_file_like` to
-  :func:`cbook.is_writable_file_like` and corrected behavior.
-
-* Added ax kwarg to :func:`pyplot.colorbar` and
-  :meth:`Figure.colorbar` so that one can specify the axes object from
-  which space for the colorbar is to be taken, if one does not want to
-  make the colorbar axes manually.
-
-* Changed :func:`cbook.reversed` so it yields a tuple rather than a
-  (index, tuple). This agrees with the python reversed builtin,
-  and cbook only defines reversed if python doesn't provide the
-  builtin.
-
-* Made skiprows=1 the default on :func:`csv2rec`
-
-* The gd and paint backends have been deleted.
-
-* The errorbar method and function now accept additional kwargs
-  so that upper and lower limits can be indicated by capping the
-  bar with a caret instead of a straight line segment.
-
-* The :mod:`matplotlib.dviread` file now has a parser for files like
-  psfonts.map and pdftex.map, to map TeX font names to external files.
-
-* The file :mod:`matplotlib.type1font` contains a new class for Type 1
-  fonts.  Currently it simply reads pfa and pfb format files and
-  stores the data in a way that is suitable for embedding in pdf
-  files. In the future the class might actually parse the font to
-  allow e.g.,  subsetting.
-
-* :mod:`matplotlib.FT2Font` now supports :meth:`FT_Attach_File`. In
-  practice this can be used to read an afm file in addition to a
-  pfa/pfb file, to get metrics and kerning information for a Type 1
-  font.
-
-* The :class:`AFM` class now supports querying CapHeight and stem
-  widths. The get_name_char method now has an isord kwarg like
-  get_width_char.
-
-* Changed :func:`pcolor` default to shading='flat'; but as noted now in the
-  docstring, it is preferable to simply use the edgecolor kwarg.
-
-* The mathtext font commands (``\cal``, ``\rm``, ``\it``, ``\tt``) now
-  behave as TeX does: they are in effect until the next font change
-  command or the end of the grouping.  Therefore uses of ``$\cal{R}$``
-  should be changed to ``${\cal R}$``.  Alternatively, you may use the
-  new LaTeX-style font commands (``\mathcal``, ``\mathrm``,
-  ``\mathit``, ``\mathtt``) which do affect the following group,
-  e.g., ``$\mathcal{R}$``.
-
-* Text creation commands have a new default linespacing and a new
-  ``linespacing`` kwarg, which is a multiple of the maximum vertical
-  extent of a line of ordinary text.  The default is 1.2;
-  ``linespacing=2`` would be like ordinary double spacing, for example.
-
-* Changed default kwarg in
-  :meth:`matplotlib.colors.Normalize.__init__`` to ``clip=False``;
-  clipping silently defeats the purpose of the special over, under,
-  and bad values in the colormap, thereby leading to unexpected
-  behavior.  The new default should reduce such surprises.
-
-* Made the emit property of :meth:`~matplotlib.axes.Axes.set_xlim` and
-  :meth:`~matplotlib.axes.Axes.set_ylim` ``True`` by default; removed
-  the Axes custom callback handling into a 'callbacks' attribute which
-  is a :class:`~matplotlib.cbook.CallbackRegistry` instance.  This now
-  supports the 'xlim_changed' and 'ylim_changed' Axes events.
-
-Changes for 0.90.1
-==================
-
-::
-
-    The file dviread.py has a (very limited and fragile) dvi reader
-    for usetex support. The API might change in the future so don't
-    depend on it yet.
-
-    Removed deprecated support for a float value as a gray-scale;
-    now it must be a string, like '0.5'.  Added alpha kwarg to
-    ColorConverter.to_rgba_list.
-
-    New method set_bounds(vmin, vmax) for formatters, locators sets
-    the viewInterval and dataInterval from floats.
-
-    Removed deprecated colorbar_classic.
-
-    Line2D.get_xdata and get_ydata valid_only=False kwarg is replaced
-    by orig=True.  When True, it returns the original data, otherwise
-    the processed data (masked, converted)
-
-    Some modifications to the units interface.
-    units.ConversionInterface.tickers renamed to
-    units.ConversionInterface.axisinfo and it now returns a
-    units.AxisInfo object rather than a tuple.  This will make it
-    easier to add axis info functionality (e.g., I added a default label
-    on this iteration) w/o having to change the tuple length and hence
-    the API of the client code every time new functionality is added.
-    Also, units.ConversionInterface.convert_to_value is now simply
-    named units.ConversionInterface.convert.
-
-    Axes.errorbar uses Axes.vlines and Axes.hlines to draw its error
-    limits int he vertical and horizontal direction.  As you'll see
-    in the changes below, these functions now return a LineCollection
-    rather than a list of lines.  The new return signature for
-    errorbar is  ylins, caplines, errorcollections where
-    errorcollections is a xerrcollection, yerrcollection
-
-    Axes.vlines and Axes.hlines now create and returns a LineCollection, not a list
-    of lines.  This is much faster.  The kwarg signature has changed,
-    so consult the docs
-
-    MaxNLocator accepts a new Boolean kwarg ('integer') to force
-    ticks to integer locations.
-
-    Commands that pass an argument to the Text constructor or to
-    Text.set_text() now accept any object that can be converted
-    with '%s'.  This affects xlabel(), title(), etc.
-
-    Barh now takes a **kwargs dict instead of most of the old
-    arguments. This helps ensure that bar and barh are kept in sync,
-    but as a side effect you can no longer pass e.g., color as a
-    positional argument.
-
-    ft2font.get_charmap() now returns a dict that maps character codes
-    to glyph indices (until now it was reversed)
-
-    Moved data files into lib/matplotlib so that setuptools' develop
-    mode works. Re-organized the mpl-data layout so that this source
-    structure is maintained in the installation. (i.e., the 'fonts' and
-    'images' sub-directories are maintained in site-packages.).
-    Suggest removing site-packages/matplotlib/mpl-data and
-    ~/.matplotlib/ttffont.cache before installing
-
-Changes for 0.90.0
-==================
-
-::
-
-    All artists now implement a "pick" method which users should not
-    call.  Rather, set the "picker" property of any artist you want to
-    pick on (the epsilon distance in points for a hit test) and
-    register with the "pick_event" callback.  See
-    examples/pick_event_demo.py for details
-
-    Bar, barh, and hist have "log" binary kwarg: log=True
-    sets the ordinate to a log scale.
-
-    Boxplot can handle a list of vectors instead of just
-    an array, so vectors can have different lengths.
-
-    Plot can handle 2-D x and/or y; it plots the columns.
-
-    Added linewidth kwarg to bar and barh.
-
-    Made the default Artist._transform None (rather than invoking
-    identity_transform for each artist only to have it overridden
-    later).  Use artist.get_transform() rather than artist._transform,
-    even in derived classes, so that the default transform will be
-    created lazily as needed
-
-    New LogNorm subclass of Normalize added to colors.py.
-    All Normalize subclasses have new inverse() method, and
-    the __call__() method has a new clip kwarg.
-
-    Changed class names in colors.py to match convention:
-    normalize -> Normalize, no_norm -> NoNorm.  Old names
-    are still available for now.
-
-    Removed obsolete pcolor_classic command and method.
-
-    Removed lineprops and markerprops from the Annotation code and
-    replaced them with an arrow configurable with kwarg arrowprops.
-    See examples/annotation_demo.py - JDH
-
-Changes for 0.87.7
-==================
-
-::
-
-    Completely reworked the annotations API because I found the old
-    API cumbersome.  The new design is much more legible and easy to
-    read.  See matplotlib.text.Annotation and
-    examples/annotation_demo.py
-
-    markeredgecolor and markerfacecolor cannot be configured in
-    matplotlibrc any more. Instead, markers are generally colored
-    automatically based on the color of the line, unless marker colors
-    are explicitly set as kwargs - NN
-
-    Changed default comment character for load to '#' - JDH
-
-    math_parse_s_ft2font_svg from mathtext.py & mathtext2.py now returns
-    width, height, svg_elements. svg_elements is an instance of Bunch (
-    cmbook.py) and has the attributes svg_glyphs and svg_lines, which are both
-    lists.
-
-    Renderer.draw_arc now takes an additional parameter, rotation.
-    It specifies to draw the artist rotated in degrees anti-
-    clockwise.  It was added for rotated ellipses.
-
-    Renamed Figure.set_figsize_inches to Figure.set_size_inches to
-    better match the get method, Figure.get_size_inches.
-
-    Removed the copy_bbox_transform from transforms.py; added
-    shallowcopy methods to all transforms.  All transforms already
-    had deepcopy methods.
-
-    FigureManager.resize(width, height): resize the window
-    specified in pixels
-
-    barh: x and y args have been renamed to width and bottom
-    respectively, and their order has been swapped to maintain
-    a (position, value) order.
-
-    bar and barh: now accept kwarg 'edgecolor'.
-
-    bar and barh: The left, height, width and bottom args can
-    now all be scalars or sequences; see docstring.
-
-    barh: now defaults to edge aligned instead of center
-    aligned bars
-
-    bar, barh and hist: Added a keyword arg 'align' that
-    controls between edge or center bar alignment.
-
-    Collections: PolyCollection and LineCollection now accept
-    vertices or segments either in the original form [(x,y),
-    (x,y), ...] or as a 2D numerix array, with X as the first column
-    and Y as the second. Contour and quiver output the numerix
-    form.  The transforms methods Bbox.update() and
-    Transformation.seq_xy_tups() now accept either form.
-
-    Collections: LineCollection is now a ScalarMappable like
-    PolyCollection, etc.
-
-    Specifying a grayscale color as a float is deprecated; use
-    a string instead, e.g., 0.75 -> '0.75'.
-
-    Collections: initializers now accept any mpl color arg, or
-    sequence of such args; previously only a sequence of rgba
-    tuples was accepted.
-
-    Colorbar: completely new version and api; see docstring.  The
-    original version is still accessible as colorbar_classic, but
-    is deprecated.
-
-    Contourf: "extend" kwarg replaces "clip_ends"; see docstring.
-    Masked array support added to pcolormesh.
-
-    Modified aspect-ratio handling:
-        Removed aspect kwarg from imshow
-        Axes methods:
-            set_aspect(self, aspect, adjustable=None, anchor=None)
-            set_adjustable(self, adjustable)
-            set_anchor(self, anchor)
-        Pylab interface:
-            axis('image')
-
-     Backend developers: ft2font's load_char now takes a flags
-     argument, which you can OR together from the LOAD_XXX
-     constants.
-
-Changes for 0.86
-================
-
-::
-
-     Matplotlib data is installed into the matplotlib module.
-     This is similar to package_data.  This should get rid of
-     having to check for many possibilities in _get_data_path().
-     The MATPLOTLIBDATA env key is still checked first to allow
-     for flexibility.
-
-     1) Separated the color table data from cm.py out into
-     a new file, _cm.py, to make it easier to find the actual
-     code in cm.py and to add new colormaps. Everything
-     from _cm.py is imported by cm.py, so the split should be
-     transparent.
-     2) Enabled automatic generation of a colormap from
-     a list of colors in contour; see modified
-     examples/contour_demo.py.
-     3) Support for imshow of a masked array, with the
-     ability to specify colors (or no color at all) for
-     masked regions, and for regions that are above or
-     below the normally mapped region.  See
-     examples/image_masked.py.
-     4) In support of the above, added two new classes,
-     ListedColormap, and no_norm, to colors.py, and modified
-     the Colormap class to include common functionality. Added
-     a clip kwarg to the normalize class.
-
-Changes for 0.85
-================
-
-::
-
-    Made xtick and ytick separate props in rc
-
-    made pos=None the default for tick formatters rather than 0 to
-    indicate "not supplied"
-
-    Removed "feature" of minor ticks which prevents them from
-    overlapping major ticks.  Often you want major and minor ticks at
-    the same place, and can offset the major ticks with the pad.  This
-    could be made configurable
-
-    Changed the internal structure of contour.py to a more OO style.
-    Calls to contour or contourf in axes.py or pylab.py now return
-    a ContourSet object which contains references to the
-    LineCollections or PolyCollections created by the call,
-    as well as the configuration variables that were used.
-    The ContourSet object is a "mappable" if a colormap was used.
-
-    Added a clip_ends kwarg to contourf. From the docstring:
-             * clip_ends = True
-               If False, the limits for color scaling are set to the
-               minimum and maximum contour levels.
-               True (default) clips the scaling limits.  Example:
-               if the contour boundaries are V = [-100, 2, 1, 0, 1, 2, 100],
-               then the scaling limits will be [-100, 100] if clip_ends
-               is False, and [-3, 3] if clip_ends is True.
-    Added kwargs linewidths, antialiased, and nchunk to contourf.  These
-    are experimental; see the docstring.
-
-    Changed Figure.colorbar():
-        kw argument order changed;
-        if mappable arg is a non-filled ContourSet, colorbar() shows
-                lines instead hof polygons.
-        if mappable arg is a filled ContourSet with clip_ends=True,
-                the endpoints are not labelled, so as to give the
-                correct impression of open-endedness.
-
-    Changed LineCollection.get_linewidths to get_linewidth, for
-    consistency.
-
-
-Changes for 0.84
-================
-
-::
-
-    Unified argument handling between hlines and vlines.  Both now
-    take optionally a fmt argument (as in plot) and a keyword args
-    that can be passed onto Line2D.
-
-    Removed all references to "data clipping" in rc and lines.py since
-    these were not used and not optimized.  I'm sure they'll be
-    resurrected later with a better implementation when needed.
-
-    'set' removed - no more deprecation warnings.  Use 'setp' instead.
-
-    Backend developers: Added flipud method to image and removed it
-    from to_str.  Removed origin kwarg from backend.draw_image.
-    origin is handled entirely by the frontend now.
-
-Changes for 0.83
-================
-
-::
-
-  - Made HOME/.matplotlib the new config dir where the matplotlibrc
-    file, the ttf.cache, and the tex.cache live.  The new default
-    filenames in .matplotlib have no leading dot and are not hidden.
-    e.g., the new names are matplotlibrc, tex.cache, and ttffont.cache.
-    This is how ipython does it so it must be right.
-
-    If old files are found, a warning is issued and they are moved to
-    the new location.
-
-  - backends/__init__.py no longer imports new_figure_manager,
-    draw_if_interactive and show from the default backend, but puts
-    these imports into a call to pylab_setup.  Also, the Toolbar is no
-    longer imported from WX/WXAgg.  New usage:
-
-      from backends import pylab_setup
-      new_figure_manager, draw_if_interactive, show = pylab_setup()
-
-  - Moved Figure.get_width_height() to FigureCanvasBase. It now
-    returns int instead of float.
-
-Changes for 0.82
-================
-
-::
-
-  - toolbar import change in GTKAgg, GTKCairo and WXAgg
-
-  - Added subplot config tool to GTK* backends -- note you must now
-    import the NavigationToolbar2 from your backend of choice rather
-    than from backend_gtk because it needs to know about the backend
-    specific canvas -- see examples/embedding_in_gtk2.py.  Ditto for
-    wx backend -- see examples/embedding_in_wxagg.py
-
-
-  - hist bin change
-
-      Sean Richards notes there was a problem in the way we created
-      the binning for histogram, which made the last bin
-      underrepresented.  From his post:
-
-        I see that hist uses the linspace function to create the bins
-        and then uses searchsorted to put the values in their correct
-        bin. That's all good but I am confused over the use of linspace
-        for the bin creation. I wouldn't have thought that it does
-        what is needed, to quote the docstring it creates a "Linear
-        spaced array from min to max". For it to work correctly
-        shouldn't the values in the bins array be the same bound for
-        each bin? (i.e. each value should be the lower bound of a
-        bin). To provide the correct bins for hist would it not be
-        something like
-
-        def bins(xmin, xmax, N):
-          if N==1: return xmax
-          dx = (xmax-xmin)/N # instead of N-1
-          return xmin + dx*arange(N)
-
-
-       This suggestion is implemented in 0.81.  My test script with these
-       changes does not reveal any bias in the binning
-
-        from matplotlib.numerix.mlab import randn, rand, zeros, Float
-        from matplotlib.mlab import hist, mean
-
-        Nbins = 50
-        Ntests = 200
-        results = zeros((Ntests,Nbins), typecode=Float)
-        for i in range(Ntests):
-            print 'computing', i
-            x = rand(10000)
-            n, bins = hist(x, Nbins)
-            results[i] = n
-        print mean(results)
-
-
-Changes for 0.81
-================
-
-::
-
-  - pylab and artist "set" functions renamed to setp to avoid clash
-    with python2.4 built-in set.  Current version will issue a
-    deprecation warning which will be removed in future versions
-
-  - imshow interpolation arguments changes for advanced interpolation
-    schemes.  See help imshow, particularly the interpolation,
-    filternorm and filterrad kwargs
-
-  - Support for masked arrays has been added to the plot command and
-    to the Line2D object.  Only the valid points are plotted.  A
-    "valid_only" kwarg was added to the get_xdata() and get_ydata()
-    methods of Line2D; by default it is False, so that the original
-    data arrays are returned. Setting it to True returns the plottable
-    points.
-
-  - contour changes:
-
-    Masked arrays: contour and contourf now accept masked arrays as
-      the variable to be contoured.  Masking works correctly for
-      contour, but a bug remains to be fixed before it will work for
-      contourf.  The "badmask" kwarg has been removed from both
-      functions.
-
-     Level argument changes:
-
-       Old version: a list of levels as one of the positional
-       arguments specified the lower bound of each filled region; the
-       upper bound of the last region was taken as a very large
-       number.  Hence, it was not possible to specify that z values
-       between 0 and 1, for example, be filled, and that values
-       outside that range remain unfilled.
-
-       New version: a list of N levels is taken as specifying the
-       boundaries of N-1 z ranges.  Now the user has more control over
-       what is colored and what is not.  Repeated calls to contourf
-       (with different colormaps or color specifications, for example)
-       can be used to color different ranges of z.  Values of z
-       outside an expected range are left uncolored.
-
-       Example:
-         Old: contourf(z, [0, 1, 2]) would yield 3 regions: 0-1, 1-2, and >2.
-         New: it would yield 2 regions: 0-1, 1-2.  If the same 3 regions were
-         desired, the equivalent list of levels would be [0, 1, 2,
-         1e38].
-
-Changes for 0.80
-================
-
-::
-
-  - xlim/ylim/axis always return the new limits regardless of
-    arguments.  They now take kwargs which allow you to selectively
-    change the upper or lower limits while leaving unnamed limits
-    unchanged.  See help(xlim) for example
-
-Changes for 0.73
-================
-
-::
-
-  - Removed deprecated ColormapJet and friends
-
-  - Removed all error handling from the verbose object
-
-  - figure num of zero is now allowed
-
-Changes for 0.72
-================
-
-::
-
-  - Line2D, Text, and Patch copy_properties renamed update_from and
-    moved into artist base class
-
-  - LineCollecitons.color renamed to LineCollections.set_color for
-    consistency with set/get introspection mechanism,
-
-  - pylab figure now defaults to num=None, which creates a new figure
-    with a guaranteed unique number
-
-  - contour method syntax changed - now it is MATLAB compatible
-
-      unchanged: contour(Z)
-      old: contour(Z, x=Y, y=Y)
-      new: contour(X, Y, Z)
-
-    see http://matplotlib.sf.net/matplotlib.pylab.html#-contour
-
-
-   - Increased the default resolution for save command.
-
-   - Renamed the base attribute of the ticker classes to _base to avoid conflict
-     with the base method.  Sitt for subs
-
-   - subs=none now does autosubbing in the tick locator.
-
-   - New subplots that overlap old will delete the old axes.  If you
-     do not want this behavior, use fig.add_subplot or the axes
-     command
-
-Changes for 0.71
-================
-
-::
-
-   Significant numerix namespace changes, introduced to resolve
-   namespace clashes between python built-ins and mlab names.
-   Refactored numerix to maintain separate modules, rather than
-   folding all these names into a single namespace.  See the following
-   mailing list threads for more information and background
-
-     http://sourceforge.net/mailarchive/forum.php?thread_id=6398890&forum_id=36187
-     http://sourceforge.net/mailarchive/forum.php?thread_id=6323208&forum_id=36187
-
-
-   OLD usage
-
-     from matplotlib.numerix import array, mean, fft
-
-   NEW usage
-
-     from matplotlib.numerix import array
-     from matplotlib.numerix.mlab import mean
-     from matplotlib.numerix.fft import fft
-
-   numerix dir structure mirrors numarray (though it is an incomplete
-   implementation)
-
-     numerix
-     numerix/mlab
-     numerix/linear_algebra
-     numerix/fft
-     numerix/random_array
-
-   but of course you can use 'numerix : Numeric' and still get the
-   symbols.
-
-   pylab still imports most of the symbols from Numerix, MLab, fft,
-   etc, but is more cautious.  For names that clash with python names
-   (min, max, sum), pylab keeps the builtins and provides the numeric
-   versions with an a* prefix, e.g., (amin, amax, asum)
-
-Changes for 0.70
-================
-
-::
-
-   MplEvent factored into a base class Event and derived classes
-   MouseEvent and KeyEvent
-
-   Removed definct set_measurement in wx toolbar
-
-Changes for 0.65.1
-==================
-
-::
-
-  removed add_axes and add_subplot from backend_bases.  Use
-  figure.add_axes and add_subplot instead.  The figure now manages the
-  current axes with gca and sca for get and set current axes.  If you
-  have code you are porting which called, e.g., figmanager.add_axes, you
-  can now simply do figmanager.canvas.figure.add_axes.
-
-Changes for 0.65
-================
-
-::
-
-
-  mpl_connect and mpl_disconnect in the MATLAB interface renamed to
-  connect and disconnect
-
-  Did away with the text methods for angle since they were ambiguous.
-  fontangle could mean fontstyle (obligue, etc) or the rotation of the
-  text.  Use style and rotation instead.
-
-Changes for 0.63
-================
-
-::
-
-  Dates are now represented internally as float days since 0001-01-01,
-  UTC.
-
-  All date tickers and formatters are now in matplotlib.dates, rather
-  than matplotlib.tickers
-
-  converters have been abolished from all functions and classes.
-  num2date and date2num are now the converter functions for all date
-  plots
-
-  Most of the date tick locators have a different meaning in their
-  constructors.  In the prior implementation, the first argument was a
-  base and multiples of the base were ticked.  e.g.,
-
-    HourLocator(5)  # old: tick every 5 minutes
-
-  In the new implementation, the explicit points you want to tick are
-  provided as a number or sequence
-
-     HourLocator(range(0,5,61))  # new: tick every 5 minutes
-
-  This gives much greater flexibility.  I have tried to make the
-  default constructors (no args) behave similarly, where possible.
-
-  Note that YearLocator still works under the base/multiple scheme.
-  The difference between the YearLocator and the other locators is
-  that years are not recurrent.
-
-
-  Financial functions:
-
-    matplotlib.finance.quotes_historical_yahoo(ticker, date1, date2)
-
-     date1, date2 are now datetime instances.  Return value is a list
-     of quotes where the quote time is a float - days since gregorian
-     start, as returned by date2num
-
-     See examples/finance_demo.py for example usage of new API
-
-Changes for 0.61
-================
-
-::
-
-  canvas.connect is now deprecated for event handling.  use
-  mpl_connect and mpl_disconnect instead.  The callback signature is
-  func(event) rather than func(widget, event)
-
-Changes for 0.60
-================
-
-::
-
-  ColormapJet and Grayscale are deprecated.  For backwards
-  compatibility, they can be obtained either by doing
-
-    from matplotlib.cm import ColormapJet
-
-  or
-
-    from matplotlib.matlab import *
-
-  They are replaced by cm.jet and cm.grey
-
-Changes for 0.54.3
-==================
-
-::
-
-  removed the set_default_font / get_default_font scheme from the
-  font_manager to unify customization of font defaults with the rest of
-  the rc scheme.  See examples/font_properties_demo.py and help(rc) in
-  matplotlib.matlab.
-
-Changes for 0.54
-================
-
-MATLAB interface
-----------------
-
-dpi
-~~~
-
-Several of the backends used a PIXELS_PER_INCH hack that I added to
-try and make images render consistently across backends.  This just
-complicated matters.  So you may find that some font sizes and line
-widths appear different than before.  Apologies for the
-inconvenience. You should set the dpi to an accurate value for your
-screen to get true sizes.
-
-
-pcolor and scatter
-~~~~~~~~~~~~~~~~~~
-
-There are two changes to the MATLAB interface API, both involving the
-patch drawing commands.  For efficiency, pcolor and scatter have been
-rewritten to use polygon collections, which are a new set of objects
-from matplotlib.collections designed to enable efficient handling of
-large collections of objects.  These new collections make it possible
-to build large scatter plots or pcolor plots with no loops at the
-python level, and are significantly faster than their predecessors.
-The original pcolor and scatter functions are retained as
-pcolor_classic and scatter_classic.
-
-The return value from pcolor is a PolyCollection.  Most of the
-propertes that are available on rectangles or other patches are also
-available on PolyCollections, e.g., you can say::
-
-  c = scatter(blah, blah)
-  c.set_linewidth(1.0)
-  c.set_facecolor('r')
-  c.set_alpha(0.5)
-
-or::
-
-  c = scatter(blah, blah)
-  set(c, 'linewidth', 1.0, 'facecolor', 'r', 'alpha', 0.5)
-
-
-Because the collection is a single object, you no longer need to loop
-over the return value of scatter or pcolor to set properties for the
-entire list.
-
-If you want the different elements of a collection to vary on a
-property, e.g., to have different line widths, see matplotlib.collections
-for a discussion on how to set the properties as a sequence.
-
-For scatter, the size argument is now in points^2 (the area of the
-symbol in points) as in MATLAB and is not in data coords as before.
-Using sizes in data coords caused several problems.  So you will need
-to adjust your size arguments accordingly or use scatter_classic.
-
-mathtext spacing
-~~~~~~~~~~~~~~~~
-
-For reasons not clear to me (and which I'll eventually fix) spacing no
-longer works in font groups.  However, I added three new spacing
-commands which compensate for this '\ ' (regular space), '\/' (small
-space) and '\hspace{frac}' where frac is a fraction of fontsize in
-points.  You will need to quote spaces in font strings, is::
-
-  title(r'$\rm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
-
-
-
-Object interface - Application programmers
-------------------------------------------
-
-Autoscaling
-~~~~~~~~~~~
-
-  The x and y axis instances no longer have autoscale view.  These are
-  handled by axes.autoscale_view
-
-Axes creation
-~~~~~~~~~~~~~
-
-    You should not instantiate your own Axes any more using the OO API.
-    Rather, create a Figure as before and in place of::
-
-      f = Figure(figsize=(5,4), dpi=100)
-      a = Subplot(f, 111)
-      f.add_axis(a)
-
-    use::
-
-      f = Figure(figsize=(5,4), dpi=100)
-      a = f.add_subplot(111)
-
-    That is, add_axis no longer exists and is replaced by::
-
-      add_axes(rect, axisbg=defaultcolor, frameon=True)
-      add_subplot(num, axisbg=defaultcolor, frameon=True)
-
-Artist methods
-~~~~~~~~~~~~~~
-
-  If you define your own Artists, you need to rename the _draw method
-  to draw
-
-Bounding boxes
-~~~~~~~~~~~~~~
-
-   matplotlib.transforms.Bound2D is replaced by
-   matplotlib.transforms.Bbox.  If you want to construct a bbox from
-   left, bottom, width, height (the signature for Bound2D), use
-   matplotlib.transforms.lbwh_to_bbox, as in
-
-    bbox = clickBBox = lbwh_to_bbox(left, bottom, width, height)
-
-   The Bbox has a different API than the Bound2D.  e.g., if you want to
-   get the width and height of the bbox
-
-     OLD::
-        width  = fig.bbox.x.interval()
-        height = fig.bbox.y.interval()
-
-     New::
-        width  = fig.bbox.width()
-        height = fig.bbox.height()
-
-
-
-
-Object constructors
-~~~~~~~~~~~~~~~~~~~
-
-  You no longer pass the bbox, dpi, or transforms to the various
-  Artist constructors.  The old way or creating lines and rectangles
-  was cumbersome because you had to pass so many attributes to the
-  Line2D and Rectangle classes not related directly to the geometry
-  and properties of the object.  Now default values are added to the
-  object when you call axes.add_line or axes.add_patch, so they are
-  hidden from the user.
-
-  If you want to define a custom transformation on these objects, call
-  o.set_transform(trans) where trans is a Transformation instance.
-
-  In prior versions of you wanted to add a custom line in data coords,
-  you would have to do
-
-        l =  Line2D(dpi, bbox, x, y,
-                    color = color,
-                    transx = transx,
-                    transy = transy,
-                    )
-
-  now all you need is
-
-        l =  Line2D(x, y, color=color)
-
-  and the axes will set the transformation for you (unless you have
-  set your own already, in which case it will eave it unchanged)
-
-Transformations
-~~~~~~~~~~~~~~~
-
-  The entire transformation architecture has been rewritten.
-  Previously the x and y transformations where stored in the xaxis and
-  yaxis instances.  The problem with this approach is it only allows
-  for separable transforms (where the x and y transformations don't
-  depend on one another).  But for cases like polar, they do.  Now
-  transformations operate on x,y together.  There is a new base class
-  matplotlib.transforms.Transformation and two concrete
-  implementations, matplotlib.transforms.SeparableTransformation and
-  matplotlib.transforms.Affine.  The SeparableTransformation is
-  constructed with the bounding box of the input (this determines the
-  rectangular coordinate system of the input, i.e., the x and y view
-  limits), the bounding box of the display, and possibly nonlinear
-  transformations of x and y.  The 2 most frequently used
-  transformations, data coordinates -> display and axes coordinates ->
-  display are available as ax.transData and ax.transAxes.  See
-  alignment_demo.py which uses axes coords.
-
-  Also, the transformations should be much faster now, for two reasons
-
-   * they are written entirely in extension code
-
-   * because they operate on x and y together, they can do the entire
-     transformation in one loop.  Earlier I did something along the
-     lines of::
-
-       xt = sx*func(x) + tx
-       yt = sy*func(y) + ty
-
-     Although this was done in numerix, it still involves 6 length(x)
-     for-loops (the multiply, add, and function evaluation each for x
-     and y).  Now all of that is done in a single pass.
-
-
-  If you are using transformations and bounding boxes to get the
-  cursor position in data coordinates, the method calls are a little
-  different now.  See the updated examples/coords_demo.py which shows
-  you how to do this.
-
-  Likewise, if you are using the artist bounding boxes to pick items
-  on the canvas with the GUI, the bbox methods are somewhat
-  different.  You will need to see the updated
-  examples/object_picker.py.
-
-  See unit/transforms_unit.py for many examples using the new
-  transformations.
-
-
-Changes for 0.50
-================
-
-::
-
-  * refactored Figure class so it is no longer backend dependent.
-    FigureCanvasBackend takes over the backend specific duties of the
-    Figure.  matplotlib.backend_bases.FigureBase moved to
-    matplotlib.figure.Figure.
-
-  * backends must implement FigureCanvasBackend (the thing that
-    controls the figure and handles the events if any) and
-    FigureManagerBackend (wraps the canvas and the window for MATLAB
-    interface).  FigureCanvasBase implements a backend switching
-    mechanism
-
-  * Figure is now an Artist (like everything else in the figure) and
-    is totally backend independent
-
-  * GDFONTPATH renamed to TTFPATH
-
-  * backend faceColor argument changed to rgbFace
-
-  * colormap stuff moved to colors.py
-
-  * arg_to_rgb in backend_bases moved to class ColorConverter in
-    colors.py
-
-  * GD users must upgrade to gd-2.0.22 and gdmodule-0.52 since new gd
-    features (clipping, antialiased lines) are now used.
-
-  * Renderer must implement points_to_pixels
-
-  Migrating code:
-
-  MATLAB interface:
-
-    The only API change for those using the MATLAB interface is in how
-    you call figure redraws for dynamically updating figures.  In the
-    old API, you did
-
-      fig.draw()
-
-    In the new API, you do
-
-      manager = get_current_fig_manager()
-      manager.canvas.draw()
-
-    See the examples system_monitor.py, dynamic_demo.py, and anim.py
-
-  API
-
-    There is one important API change for application developers.
-    Figure instances used subclass GUI widgets that enabled them to be
-    placed directly into figures.  e.g., FigureGTK subclassed
-    gtk.DrawingArea.  Now the Figure class is independent of the
-    backend, and FigureCanvas takes over the functionality formerly
-    handled by Figure.  In order to include figures into your apps,
-    you now need to do, for example
-
-      # gtk example
-      fig = Figure(figsize=(5,4), dpi=100)
-      canvas = FigureCanvasGTK(fig)  # a gtk.DrawingArea
-      canvas.show()
-      vbox.pack_start(canvas)
-
-    If you use the NavigationToolbar, this in now intialized with a
-    FigureCanvas, not a Figure.  The examples embedding_in_gtk.py,
-    embedding_in_gtk2.py, and mpl_with_glade.py all reflect the new
-    API so use these as a guide.
-
-    All prior calls to
-
-     figure.draw()  and
-     figure.print_figure(args)
-
-    should now be
-
-     canvas.draw()  and
-     canvas.print_figure(args)
-
-    Apologies for the inconvenience.  This refactorization brings
-    significant more freedom in developing matplotlib and should bring
-    better plotting capabilities, so I hope the inconvenience is worth
-    it.
-
-Changes for 0.42
-================
-
-::
-
-  * Refactoring AxisText to be backend independent.  Text drawing and
-    get_window_extent functionality will be moved to the Renderer.
-
-  * backend_bases.AxisTextBase is now text.Text module
-
-  * All the erase and reset functionality removed from AxisText - not
-    needed with double buffered drawing.  Ditto with state change.
-    Text instances have a get_prop_tup method that returns a hashable
-    tuple of text properties which you can use to see if text props
-    have changed, e.g., by caching a font or layout instance in a dict
-    with the prop tup as a key -- see RendererGTK.get_pango_layout in
-    backend_gtk for an example.
-
-  * Text._get_xy_display renamed Text.get_xy_display
-
-  * Artist set_renderer and wash_brushes methods removed
-
-  * Moved Legend class from matplotlib.axes into matplotlib.legend
-
-  * Moved Tick, XTick, YTick, Axis, XAxis, YAxis from matplotlib.axes
-    to matplotlib.axis
-
-  * moved process_text_args to matplotlib.text
-
-  * After getting Text handled in a backend independent fashion, the
-    import process is much cleaner since there are no longer cyclic
-    dependencies
-
-  * matplotlib.matlab._get_current_fig_manager renamed to
-    matplotlib.matlab.get_current_fig_manager to allow user access to
-    the GUI window attribute, e.g., figManager.window for GTK and
-    figManager.frame for wx
-
-Changes for 0.40
-================
-
-::
-
-  - Artist
-      * __init__ takes a DPI instance and a Bound2D instance which is
-        the bounding box of the artist in display coords
-      * get_window_extent returns a Bound2D instance
-      * set_size is removed; replaced by bbox and dpi
-      * the clip_gc method is removed.  Artists now clip themselves with
-        their box
-      * added _clipOn boolean attribute.  If True, gc clip to bbox.
-
-  - AxisTextBase
-      * Initialized with a transx, transy which are Transform instances
-      * set_drawing_area removed
-      * get_left_right and get_top_bottom are replaced by get_window_extent
-
-  - Line2D Patches now take transx, transy
-      * Initialized with a transx, transy which are Transform instances
-
-  - Patches
-     * Initialized with a transx, transy which are Transform instances
-
-  - FigureBase attributes dpi is a DPI intance rather than scalar and
-    new attribute bbox is a Bound2D in display coords, and I got rid
-    of the left, width, height, etc... attributes.  These are now
-    accessible as, for example, bbox.x.min is left, bbox.x.interval()
-    is width, bbox.y.max is top, etc...
-
-  - GcfBase attribute pagesize renamed to figsize
-
-  - Axes
-      * removed figbg attribute
-      * added fig instance to __init__
-      * resizing is handled by figure call to resize.
-
-  - Subplot
-      * added fig instance to __init__
-
-  - Renderer methods for patches now take gcEdge and gcFace instances.
-    gcFace=None takes the place of filled=False
-
-  - True and False symbols provided by cbook in a python2.3 compatible
-    way
-
-  - new module transforms supplies Bound1D, Bound2D and Transform
-    instances and more
-
-  - Changes to the MATLAB helpers API
-
-    * _matlab_helpers.GcfBase is renamed by Gcf.  Backends no longer
-      need to derive from this class.  Instead, they provide a factory
-      function new_figure_manager(num, figsize, dpi).  The destroy
-      method of the GcfDerived from the backends is moved to the derived
-      FigureManager.
-
-    * FigureManagerBase moved to backend_bases
-
-    * Gcf.get_all_figwins renamed to Gcf.get_all_fig_managers
-
-  Jeremy:
-
-    Make sure to self._reset = False in AxisTextWX._set_font.  This was
-    something missing in my backend code.
diff --git a/doc/api/api_changes/2014-11-07_remove_IMAGE.rst b/doc/api/api_changes/2014-11-07_remove_IMAGE.rst
deleted file mode 100644
index 74ef3d594d21..000000000000
--- a/doc/api/api_changes/2014-11-07_remove_IMAGE.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-Removed `Image` from main namespace
-```````````````````````````````````
-
-`Image` was imported from PIL/pillow to test if PIL is available, but there is no
-reason to keep `Image` in the namespace once the availability has been determined.
diff --git a/doc/api/api_changes/README.rst b/doc/api/api_changes/README.rst
deleted file mode 100644
index f317cab10d41..000000000000
--- a/doc/api/api_changes/README.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-For changes which require an entry in `api_changes.rst` please create
-a file in this folder with the name :file:`YYYY-MM-DD-[initials].rst`
-(ex :file:`2014-07-31-TAC.rst`) with contents following the form: ::
-
-    Brief description of change
-    ```````````````````````````
-
-    Long description of change, justification, and work-arounds to
-    maintain old behavior (if any).
diff --git a/doc/api/artist_api.rst b/doc/api/artist_api.rst
index c8e38f88a6ca..0ca3fb364c41 100644
--- a/doc/api/artist_api.rst
+++ b/doc/api/artist_api.rst
@@ -1,17 +1,202 @@
 .. _artist-api:
 
-*******
-artists
-*******
+*********************
+``matplotlib.artist``
+*********************
 
-.. inheritance-diagram:: matplotlib.patches matplotlib.lines matplotlib.text matplotlib.offsetbox matplotlib.image
-   :parts: 2
+.. automodule:: matplotlib.artist
+   :no-members:
+   :no-undoc-members:
 
-:mod:`matplotlib.artist`
-========================
+Inheritance Diagrams
+====================
 
-.. automodule:: matplotlib.artist
-   :members:
-   :undoc-members:
-   :show-inheritance:
+.. inheritance-diagram:: matplotlib.axes._axes.Axes matplotlib.axes._base._AxesBase matplotlib.axis.Axis matplotlib.axis.Tick matplotlib.axis.XAxis matplotlib.axis.XTick matplotlib.axis.YAxis matplotlib.axis.YTick matplotlib.collections.AsteriskPolygonCollection matplotlib.collections.CircleCollection matplotlib.collections.Collection matplotlib.collections.EllipseCollection matplotlib.collections.EventCollection matplotlib.collections.LineCollection matplotlib.collections.PatchCollection matplotlib.collections.PathCollection matplotlib.collections.PolyCollection matplotlib.collections.QuadMesh matplotlib.collections.RegularPolyCollection matplotlib.collections.StarPolygonCollection matplotlib.collections.TriMesh matplotlib.collections._CollectionWithSizes matplotlib.contour.ContourSet matplotlib.contour.QuadContourSet matplotlib.figure.FigureBase matplotlib.figure.Figure matplotlib.figure.SubFigure matplotlib.image.AxesImage matplotlib.image.BboxImage matplotlib.image.FigureImage matplotlib.image.NonUniformImage matplotlib.image.PcolorImage matplotlib.image._ImageBase matplotlib.legend.Legend matplotlib.lines.Line2D matplotlib.offsetbox.AnchoredOffsetbox matplotlib.offsetbox.AnchoredText matplotlib.offsetbox.AnnotationBbox matplotlib.offsetbox.AuxTransformBox matplotlib.offsetbox.DrawingArea matplotlib.offsetbox.HPacker matplotlib.offsetbox.OffsetBox matplotlib.offsetbox.OffsetImage matplotlib.offsetbox.PackerBase matplotlib.offsetbox.PaddedBox matplotlib.offsetbox.TextArea matplotlib.offsetbox.VPacker matplotlib.patches.Annulus matplotlib.patches.Arc matplotlib.patches.Arrow matplotlib.patches.Circle matplotlib.patches.CirclePolygon matplotlib.patches.ConnectionPatch matplotlib.patches.Ellipse matplotlib.patches.FancyArrow matplotlib.patches.FancyArrowPatch matplotlib.patches.FancyBboxPatch matplotlib.patches.Patch matplotlib.patches.PathPatch matplotlib.patches.Polygon matplotlib.patches.Rectangle matplotlib.patches.RegularPolygon matplotlib.patches.Shadow matplotlib.patches.StepPatch matplotlib.patches.Wedge matplotlib.projections.geo.AitoffAxes matplotlib.projections.geo.GeoAxes matplotlib.projections.geo.HammerAxes matplotlib.projections.geo.LambertAxes matplotlib.projections.geo.MollweideAxes matplotlib.projections.polar.PolarAxes matplotlib.projections.polar.RadialAxis matplotlib.projections.polar.RadialTick matplotlib.projections.polar.ThetaAxis matplotlib.projections.polar.ThetaTick matplotlib.quiver.Barbs matplotlib.quiver.Quiver matplotlib.quiver.QuiverKey matplotlib.spines.Spine matplotlib.table.Cell matplotlib.table.Table matplotlib.text.Annotation matplotlib.text.Text matplotlib.tri.TriContourSet
+   :parts: 1
+   :private-bases:
+
+
+``Artist`` class
+================
+
+.. autoclass:: Artist
+   :no-members:
+   :no-undoc-members:
+
+Interactive
+-----------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.add_callback
+   Artist.remove_callback
+   Artist.pchanged
+   Artist.get_cursor_data
+   Artist.format_cursor_data
+   Artist.set_mouseover
+   Artist.get_mouseover
+   Artist.mouseover
+   Artist.contains
+   Artist.pick
+   Artist.pickable
+   Artist.set_picker
+   Artist.get_picker
+
+Clipping
+--------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.set_clip_on
+   Artist.get_clip_on
+   Artist.set_clip_box
+   Artist.get_clip_box
+   Artist.set_clip_path
+   Artist.get_clip_path
+
+Bulk Properties
+---------------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.update
+   Artist.update_from
+   Artist.properties
+   Artist.set
+
+Drawing
+-------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.draw
+   Artist.set_animated
+   Artist.get_animated
+
+   Artist.set_alpha
+   Artist.get_alpha
+   Artist.set_snap
+   Artist.get_snap
+   Artist.set_visible
+   Artist.get_visible
+   Artist.zorder
+   Artist.set_zorder
+   Artist.get_zorder
+   Artist.set_agg_filter
+
+   Artist.set_sketch_params
+   Artist.get_sketch_params
+   Artist.set_rasterized
+   Artist.get_rasterized
+   Artist.set_path_effects
+   Artist.get_path_effects
+
+   Artist.get_agg_filter
+   Artist.get_window_extent
+   Artist.get_tightbbox
+   Artist.get_transformed_clip_path_and_affine
+
+Figure and Axes
+---------------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.remove
+
+   Artist.axes
+
+   Artist.set_figure
+   Artist.get_figure
+
+Children
+--------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.get_children
+   Artist.findobj
+
+Transform
+---------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.set_transform
+   Artist.get_transform
+   Artist.is_transform_set
+
+Units
+-----
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.convert_xunits
+   Artist.convert_yunits
+   Artist.have_units
+
+Metadata
+--------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.set_gid
+   Artist.get_gid
+   Artist.set_label
+   Artist.get_label
+   Artist.set_url
+   Artist.get_url
+
+Miscellaneous
+-------------
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
+
+   Artist.sticky_edges
+   Artist.set_in_layout
+   Artist.get_in_layout
+   Artist.stale
+
+Functions
+=========
+
+.. autosummary::
+   :template: autosummary.rst
+   :toctree: _as_gen
+   :nosignatures:
 
+   allow_rasterization
+   get
+   getp
+   setp
+   kwdoc
+   ArtistInspector
diff --git a/doc/api/axes_api.rst b/doc/api/axes_api.rst
index 38791e242cd8..b742ce9b7a55 100644
--- a/doc/api/axes_api.rst
+++ b/doc/api/axes_api.rst
@@ -1,12 +1,632 @@
-****
-axes
-****
+*******************
+``matplotlib.axes``
+*******************
 
+The `~.axes.Axes` class represents one (sub-)plot in a figure. It contains the
+plotted data, axis ticks, labels, title, legend, etc. Its methods are the main
+interface for manipulating the plot.
 
-:mod:`matplotlib.axes`
-======================
+.. currentmodule:: matplotlib.axes
 
-.. autoclass:: matplotlib.axes.Axes
-   :members:
-   :undoc-members:
-   :inherited-members:
+.. contents:: Table of Contents
+   :depth: 2
+   :local:
+   :backlinks: entry
+   :class: multicol-toc
+
+.. automodule:: matplotlib.axes
+   :no-members:
+   :no-undoc-members:
+
+The Axes class
+==============
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary_class_only.rst
+   :nosignatures:
+
+   Axes
+
+Attributes
+----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.viewLim
+   Axes.dataLim
+   Axes.spines
+
+Plotting
+========
+
+Basic
+-----
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.plot
+   Axes.errorbar
+   Axes.scatter
+
+   Axes.step
+
+   Axes.loglog
+   Axes.semilogx
+   Axes.semilogy
+
+   Axes.fill_between
+   Axes.fill_betweenx
+
+   Axes.bar
+   Axes.barh
+   Axes.bar_label
+   Axes.grouped_bar
+
+   Axes.stem
+   Axes.eventplot
+
+   Axes.pie
+
+   Axes.stackplot
+
+
+   Axes.broken_barh
+   Axes.vlines
+   Axes.hlines
+   Axes.fill
+
+Spans
+-----
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.axhline
+   Axes.axhspan
+   Axes.axvline
+   Axes.axvspan
+   Axes.axline
+
+Spectral
+--------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.acorr
+   Axes.angle_spectrum
+   Axes.cohere
+   Axes.csd
+   Axes.magnitude_spectrum
+   Axes.phase_spectrum
+   Axes.psd
+   Axes.specgram
+   Axes.xcorr
+
+Statistics
+----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.ecdf
+   Axes.boxplot
+   Axes.violinplot
+
+   Axes.bxp
+   Axes.violin
+
+Binned
+------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.hexbin
+   Axes.hist
+   Axes.hist2d
+   Axes.stairs
+
+Contours
+--------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.clabel
+   Axes.contour
+   Axes.contourf
+
+2D arrays
+---------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.imshow
+   Axes.matshow
+   Axes.pcolor
+   Axes.pcolorfast
+   Axes.pcolormesh
+   Axes.spy
+
+Unstructured triangles
+----------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.tripcolor
+   Axes.triplot
+   Axes.tricontour
+   Axes.tricontourf
+
+
+Text and annotations
+--------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.annotate
+   Axes.text
+   Axes.table
+   Axes.arrow
+   Axes.inset_axes
+   Axes.indicate_inset
+   Axes.indicate_inset_zoom
+   Axes.secondary_xaxis
+   Axes.secondary_yaxis
+
+
+Vector fields
+-------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.barbs
+   Axes.quiver
+   Axes.quiverkey
+   Axes.streamplot
+
+
+Clearing
+========
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.cla
+   Axes.clear
+
+
+Appearance
+==========
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+
+   Axes.axis
+
+   Axes.set_axis_off
+   Axes.set_axis_on
+   Axes.set_frame_on
+   Axes.get_frame_on
+
+   Axes.set_axisbelow
+   Axes.get_axisbelow
+
+   Axes.grid
+
+   Axes.get_facecolor
+   Axes.set_facecolor
+
+
+Property cycle
+==============
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.set_prop_cycle
+
+.. _axes-api-axis:
+
+Axis / limits
+=============
+
+.. For families of methods of the form {get,set}_{x,y}foo, try to list them in
+   the order set_xfoo, get_xfoo, set_yfoo, get_yfoo
+
+Axis access
+-----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.xaxis
+   Axes.yaxis
+   Axes.get_xaxis
+   Axes.get_yaxis
+
+Axis limits and direction
+-------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.set_xinverted
+   Axes.get_xinverted
+   Axes.invert_xaxis
+   Axes.xaxis_inverted
+   Axes.set_yinverted
+   Axes.get_yinverted
+   Axes.invert_yaxis
+   Axes.yaxis_inverted
+
+   Axes.set_xlim
+   Axes.get_xlim
+   Axes.set_ylim
+   Axes.get_ylim
+
+   Axes.update_datalim
+
+   Axes.set_xbound
+   Axes.get_xbound
+   Axes.set_ybound
+   Axes.get_ybound
+
+Axis labels, title, and legend
+------------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.set_xlabel
+   Axes.get_xlabel
+   Axes.set_ylabel
+   Axes.get_ylabel
+   Axes.label_outer
+
+   Axes.set_title
+   Axes.get_title
+   Axes.legend
+   Axes.get_legend
+   Axes.get_legend_handles_labels
+
+Axis scales
+-----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.set_xscale
+   Axes.get_xscale
+   Axes.set_yscale
+   Axes.get_yscale
+
+Autoscaling and margins
+-----------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.use_sticky_edges
+
+   Axes.margins
+   Axes.get_xmargin
+   Axes.get_ymargin
+   Axes.set_xmargin
+   Axes.set_ymargin
+
+   Axes.relim
+
+   Axes.autoscale
+   Axes.autoscale_view
+
+   Axes.set_autoscale_on
+   Axes.get_autoscale_on
+
+   Axes.set_autoscalex_on
+   Axes.get_autoscalex_on
+
+   Axes.set_autoscaley_on
+   Axes.get_autoscaley_on
+
+Aspect ratio
+------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.apply_aspect
+   Axes.set_aspect
+   Axes.get_aspect
+
+   Axes.set_box_aspect
+   Axes.get_box_aspect
+
+   Axes.set_adjustable
+   Axes.get_adjustable
+
+Ticks and tick labels
+---------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.set_xticks
+   Axes.get_xticks
+
+   Axes.set_xticklabels
+   Axes.get_xticklabels
+   Axes.get_xmajorticklabels
+   Axes.get_xminorticklabels
+
+   Axes.get_xgridlines
+   Axes.get_xticklines
+
+   Axes.xaxis_date
+
+   Axes.set_yticks
+   Axes.get_yticks
+
+   Axes.set_yticklabels
+   Axes.get_yticklabels
+   Axes.get_ymajorticklabels
+   Axes.get_yminorticklabels
+
+   Axes.get_ygridlines
+   Axes.get_yticklines
+
+   Axes.yaxis_date
+
+   Axes.minorticks_off
+   Axes.minorticks_on
+
+   Axes.ticklabel_format
+   Axes.tick_params
+
+   Axes.locator_params
+
+
+Units
+=====
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.convert_xunits
+   Axes.convert_yunits
+   Axes.have_units
+
+
+Adding artists
+==============
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.add_artist
+   Axes.add_child_axes
+   Axes.add_collection
+   Axes.add_container
+   Axes.add_image
+   Axes.add_line
+   Axes.add_patch
+   Axes.add_table
+
+
+Twinning and sharing
+====================
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.twinx
+   Axes.twiny
+
+   Axes.sharex
+   Axes.sharey
+
+   Axes.get_shared_x_axes
+   Axes.get_shared_y_axes
+
+
+Axes position
+=============
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.get_anchor
+   Axes.set_anchor
+
+   Axes.get_axes_locator
+   Axes.set_axes_locator
+
+   Axes.get_subplotspec
+   Axes.set_subplotspec
+
+   Axes.reset_position
+
+   Axes.get_position
+   Axes.set_position
+
+
+Async/event based
+=================
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.stale
+   Axes.pchanged
+   Axes.add_callback
+   Axes.remove_callback
+
+
+Interactive
+===========
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+
+   Axes.can_pan
+   Axes.can_zoom
+
+   Axes.get_navigate
+   Axes.set_navigate
+   Axes.get_navigate_mode
+   Axes.set_navigate_mode
+
+   Axes.get_forward_navigation_events
+   Axes.set_forward_navigation_events
+
+   Axes.start_pan
+   Axes.drag_pan
+   Axes.end_pan
+
+   Axes.format_coord
+   Axes.format_cursor_data
+   Axes.format_xdata
+   Axes.format_ydata
+
+   Axes.mouseover
+   Axes.in_axes
+
+   Axes.contains
+   Axes.contains_point
+
+   Axes.get_cursor_data
+
+Children
+========
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.get_children
+   Axes.get_images
+   Axes.get_lines
+   Axes.findobj
+
+
+Drawing
+=======
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.draw
+   Axes.draw_artist
+   Axes.redraw_in_frame
+
+   Axes.get_rasterization_zorder
+   Axes.set_rasterization_zorder
+
+   Axes.get_window_extent
+   Axes.get_tightbbox
+
+
+Projection
+==========
+
+Methods used by `~matplotlib.axis.Axis` that must be overridden for
+non-rectilinear Axes.
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.name
+   Axes.get_xaxis_transform
+   Axes.get_yaxis_transform
+   Axes.get_data_ratio
+
+   Axes.get_xaxis_text1_transform
+   Axes.get_xaxis_text2_transform
+   Axes.get_yaxis_text1_transform
+   Axes.get_yaxis_text2_transform
+
+
+Other
+=====
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axes.zorder
+   Axes.get_default_bbox_extra_artists
+   Axes.get_transformed_clip_path_and_affine
+   Axes.has_data
+   Axes.set
+   Axes.remove
+
+.. autoclass:: matplotlib.axes.Axes.ArtistList
diff --git a/doc/api/axis_api.rst b/doc/api/axis_api.rst
index 426f0c873dfb..85ba990ffece 100644
--- a/doc/api/axis_api.rst
+++ b/doc/api/axis_api.rst
@@ -1,12 +1,274 @@
-****
-axis
-****
+*******************
+``matplotlib.axis``
+*******************
 
-
-:mod:`matplotlib.axis`
-======================
+.. contents:: Table of Contents
+   :depth: 3
+   :local:
+   :backlinks: entry
 
 .. automodule:: matplotlib.axis
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-undoc-members:
+
+Inheritance
+===========
+
+.. inheritance-diagram:: Tick Ticker XAxis YAxis XTick YTick
+   :private-bases:
+
+
+``Axis`` objects
+================
+
+.. autoclass:: Axis
+   :no-members:
+   :no-undoc-members:
+.. autoclass:: XAxis
+   :no-members:
+   :no-undoc-members:
+.. autoclass:: YAxis
+   :no-members:
+   :no-undoc-members:
+.. autoclass:: Ticker
+   :no-members:
+   :no-undoc-members:
+
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.clear
+   Axis.get_scale
+
+
+Formatters and Locators
+-----------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.get_major_formatter
+   Axis.get_major_locator
+   Axis.get_minor_formatter
+   Axis.get_minor_locator
+   Axis.set_major_formatter
+   Axis.set_major_locator
+   Axis.set_minor_formatter
+   Axis.set_minor_locator
+
+   Axis.remove_overlapping_locs
+   Axis.get_remove_overlapping_locs
+   Axis.set_remove_overlapping_locs
+
+Axis Label
+----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.label
+   Axis.set_label_coords
+   Axis.set_label_position
+   Axis.set_label_text
+   Axis.get_label_position
+   Axis.get_label_text
+
+Ticks, tick labels and Offset text
+----------------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.get_major_ticks
+   Axis.get_majorticklabels
+   Axis.get_majorticklines
+   Axis.get_majorticklocs
+   Axis.get_minor_ticks
+   Axis.get_minorticklabels
+   Axis.get_minorticklines
+   Axis.get_minorticklocs
+
+   Axis.get_offset_text
+
+   Axis.get_tick_padding
+   Axis.get_tick_params
+   Axis.get_ticklabels
+   Axis.get_ticklines
+   Axis.get_ticklocs
+
+   Axis.get_gridlines
+   Axis.grid
+
+   Axis.set_tick_params
+
+   Axis.axis_date
+
+   Axis.minorticks_off
+   Axis.minorticks_on
+
+
+Data and view intervals
+-----------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.get_data_interval
+   Axis.get_view_interval
+   Axis.get_inverted
+   Axis.set_data_interval
+   Axis.set_view_interval
+   Axis.set_inverted
+
+Rendering helpers
+-----------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.get_minpos
+   Axis.get_tick_space
+   Axis.get_tightbbox
+
+
+Interactive
+-----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.contains
+   Axis.pickradius
+   Axis.get_pickradius
+   Axis.set_pickradius
+
+
+Units
+-----
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.convert_units
+   Axis.set_units
+   Axis.get_units
+   Axis.set_converter
+   Axis.get_converter
+   Axis.update_units
+
+
+XAxis Specific
+--------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   XAxis.axis_name
+   XAxis.get_ticks_position
+   XAxis.set_ticks_position
+   XAxis.set_label_position
+   XAxis.tick_bottom
+   XAxis.tick_top
+
+YAxis Specific
+--------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   YAxis.axis_name
+   YAxis.get_ticks_position
+   YAxis.set_offset_position
+   YAxis.set_ticks_position
+   YAxis.set_label_position
+   YAxis.tick_left
+   YAxis.tick_right
+
+Other
+-----
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+
+   Axis.OFFSETTEXTPAD
+
+   Axis.axes
+   Axis.limit_range_for_scale
+   Axis.reset_ticks
+   Axis.set_clip_path
+   Axis.set_default_intervals
+
+Discouraged
+-----------
+
+These methods should be used together with care, calling ``set_ticks``
+to specify the desired tick locations **before** calling ``set_ticklabels`` to
+specify a matching series of labels.  Calling ``set_ticks`` makes a
+`~matplotlib.ticker.FixedLocator`; it's list of locations is then used by
+``set_ticklabels`` to make an appropriate
+`~matplotlib.ticker.FuncFormatter`.
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Axis.get_label
+   Axis.set_label
+   Axis.set_ticks
+   Axis.set_ticklabels
+
+
+
+``Tick`` objects
+================
+
+.. autoclass:: Tick
+   :no-members:
+   :no-undoc-members:
+.. autoclass:: XTick
+   :no-members:
+   :no-undoc-members:
+.. autoclass:: YTick
+   :no-members:
+   :no-undoc-members:
+
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Tick.get_loc
+   Tick.get_pad
+   Tick.get_tick_padding
+   Tick.get_tickdir
+   Tick.get_view_interval
+   Tick.set_clip_path
+   Tick.set_pad
+   Tick.set_url
+   Tick.update_position
diff --git a/doc/api/backend_agg_api.rst b/doc/api/backend_agg_api.rst
new file mode 100644
index 000000000000..752f348f8747
--- /dev/null
+++ b/doc/api/backend_agg_api.rst
@@ -0,0 +1,8 @@
+***********************************
+``matplotlib.backends.backend_agg``
+***********************************
+
+.. automodule:: matplotlib.backends.backend_agg
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_bases_api.rst b/doc/api/backend_bases_api.rst
index 990a1a091f81..c98a6af3e05e 100644
--- a/doc/api/backend_bases_api.rst
+++ b/doc/api/backend_bases_api.rst
@@ -1,6 +1,6 @@
-
-:mod:`matplotlib.backend_bases`
-================================
+****************************
+``matplotlib.backend_bases``
+****************************
 
 .. automodule:: matplotlib.backend_bases
    :members:
diff --git a/doc/api/backend_cairo_api.rst b/doc/api/backend_cairo_api.rst
new file mode 100644
index 000000000000..66371ec6895c
--- /dev/null
+++ b/doc/api/backend_cairo_api.rst
@@ -0,0 +1,8 @@
+*************************************
+``matplotlib.backends.backend_cairo``
+*************************************
+
+.. automodule:: matplotlib.backends.backend_cairo
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_gtk3_api.rst b/doc/api/backend_gtk3_api.rst
new file mode 100644
index 000000000000..bd6d71d6ccb2
--- /dev/null
+++ b/doc/api/backend_gtk3_api.rst
@@ -0,0 +1,13 @@
+**********************************************************************************
+``matplotlib.backends.backend_gtk3agg``, ``matplotlib.backends.backend_gtk3cairo``
+**********************************************************************************
+
+**NOTE** These :ref:`backends` are not documented here, to avoid adding a
+dependency to building the docs.
+
+.. redirect-from:: /api/backend_gtk3agg_api
+.. redirect-from:: /api/backend_gtk3cairo_api
+
+.. module:: matplotlib.backends.backend_gtk3
+.. module:: matplotlib.backends.backend_gtk3agg
+.. module:: matplotlib.backends.backend_gtk3cairo
diff --git a/doc/api/backend_gtk4_api.rst b/doc/api/backend_gtk4_api.rst
new file mode 100644
index 000000000000..278daa392b13
--- /dev/null
+++ b/doc/api/backend_gtk4_api.rst
@@ -0,0 +1,13 @@
+**********************************************************************************
+``matplotlib.backends.backend_gtk4agg``, ``matplotlib.backends.backend_gtk4cairo``
+**********************************************************************************
+
+**NOTE** These :ref:`backends` are not documented here, to avoid adding a
+dependency to building the docs.
+
+.. redirect-from:: /api/backend_gtk4agg_api
+.. redirect-from:: /api/backend_gtk4cairo_api
+
+.. module:: matplotlib.backends.backend_gtk4
+.. module:: matplotlib.backends.backend_gtk4agg
+.. module:: matplotlib.backends.backend_gtk4cairo
diff --git a/doc/api/backend_gtkagg_api.rst b/doc/api/backend_gtkagg_api.rst
deleted file mode 100644
index f5a37bf4d345..000000000000
--- a/doc/api/backend_gtkagg_api.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-
-:mod:`matplotlib.backends.backend_gtkagg`
-=========================================
-
-**TODO** We'll add this later, importing the gtk backends requires an active
-X-session, which is not compatible with cron jobs.
-
-.. .. automodule:: matplotlib.backends.backend_gtkagg
-..    :members:
-..    :undoc-members:
-..    :show-inheritance:
diff --git a/doc/api/backend_managers_api.rst b/doc/api/backend_managers_api.rst
new file mode 100644
index 000000000000..3e77e89dbbce
--- /dev/null
+++ b/doc/api/backend_managers_api.rst
@@ -0,0 +1,8 @@
+*******************************
+``matplotlib.backend_managers``
+*******************************
+
+.. automodule:: matplotlib.backend_managers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_mixed_api.rst b/doc/api/backend_mixed_api.rst
new file mode 100644
index 000000000000..61d770e56ccf
--- /dev/null
+++ b/doc/api/backend_mixed_api.rst
@@ -0,0 +1,8 @@
+*************************************
+``matplotlib.backends.backend_mixed``
+*************************************
+
+.. automodule:: matplotlib.backends.backend_mixed
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_nbagg_api.rst b/doc/api/backend_nbagg_api.rst
new file mode 100644
index 000000000000..6596f461bbf0
--- /dev/null
+++ b/doc/api/backend_nbagg_api.rst
@@ -0,0 +1,8 @@
+*************************************
+``matplotlib.backends.backend_nbagg``
+*************************************
+
+.. automodule:: matplotlib.backends.backend_nbagg
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_pdf_api.rst b/doc/api/backend_pdf_api.rst
index 115863d61875..014c3e6e5017 100644
--- a/doc/api/backend_pdf_api.rst
+++ b/doc/api/backend_pdf_api.rst
@@ -1,7 +1,8 @@
-
-:mod:`matplotlib.backends.backend_pdf`
-======================================
+***********************************
+``matplotlib.backends.backend_pdf``
+***********************************
 
 .. automodule:: matplotlib.backends.backend_pdf
    :members:
+   :undoc-members:
    :show-inheritance:
diff --git a/doc/api/backend_pgf_api.rst b/doc/api/backend_pgf_api.rst
new file mode 100644
index 000000000000..9f90beb72a1b
--- /dev/null
+++ b/doc/api/backend_pgf_api.rst
@@ -0,0 +1,8 @@
+***********************************
+``matplotlib.backends.backend_pgf``
+***********************************
+
+.. automodule:: matplotlib.backends.backend_pgf
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_ps_api.rst b/doc/api/backend_ps_api.rst
new file mode 100644
index 000000000000..d9b07d961b4b
--- /dev/null
+++ b/doc/api/backend_ps_api.rst
@@ -0,0 +1,8 @@
+**********************************
+``matplotlib.backends.backend_ps``
+**********************************
+
+.. automodule:: matplotlib.backends.backend_ps
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_qt4agg_api.rst b/doc/api/backend_qt4agg_api.rst
deleted file mode 100644
index 2e2e852612c7..000000000000
--- a/doc/api/backend_qt4agg_api.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-
-:mod:`matplotlib.backends.backend_qt4agg`
-=========================================
-
-.. automodule:: matplotlib.backends.backend_qt4agg
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
diff --git a/doc/api/backend_qt_api.rst b/doc/api/backend_qt_api.rst
new file mode 100644
index 000000000000..ebfeedceb6e1
--- /dev/null
+++ b/doc/api/backend_qt_api.rst
@@ -0,0 +1,71 @@
+******************************************************************************
+``matplotlib.backends.backend_qtagg``, ``matplotlib.backends.backend_qtcairo``
+******************************************************************************
+
+**NOTE** These :ref:`backends` are not (auto) documented here, to avoid adding
+a dependency to building the docs.
+
+.. redirect-from:: /api/backend_qt4agg_api
+.. redirect-from:: /api/backend_qt4cairo_api
+.. redirect-from:: /api/backend_qt5agg_api
+.. redirect-from:: /api/backend_qt5cairo_api
+
+.. module:: matplotlib.backends.qt_compat
+.. module:: matplotlib.backends.backend_qt
+.. module:: matplotlib.backends.backend_qtagg
+.. module:: matplotlib.backends.backend_qtcairo
+.. module:: matplotlib.backends.backend_qt5agg
+.. module:: matplotlib.backends.backend_qt5cairo
+
+.. _QT_bindings:
+
+Qt Bindings
+-----------
+
+There are currently 2 actively supported Qt versions, Qt5 and Qt6, and two
+supported Python bindings per version -- `PyQt5
+<https://www.riverbankcomputing.com/static/Docs/PyQt5/>`_ and `PySide2
+<https://doc.qt.io/qtforpython-5/contents.html>`_ for Qt5 and `PyQt6
+<https://www.riverbankcomputing.com/static/Docs/PyQt6/>`_ and `PySide6
+<https://doc.qt.io/qtforpython/contents.html>`_ for Qt6 [#]_.  Matplotlib's
+qtagg and qtcairo backends (``matplotlib.backends.backend_qtagg`` and
+``matplotlib.backend.backend_qtcairo``) support all these bindings, with common
+parts factored out in the ``matplotlib.backends.backend_qt`` module.
+
+At runtime, these backends select the actual binding used as follows:
+
+1. If a binding's ``QtCore`` subpackage is already imported, that binding is
+   selected (the order for the check is ``PyQt6``, ``PySide6``, ``PyQt5``,
+   ``PySide2``).
+2. If the :envvar:`QT_API` environment variable is set to one of "PyQt6",
+   "PySide6", "PyQt5", "PySide2" (case-insensitive), that binding is selected.
+   (See also the documentation on :ref:`environment-variables`.)
+3. Otherwise, the first available backend in the order ``PyQt6``, ``PySide6``,
+   ``PyQt5``, ``PySide2`` is selected.
+
+In the past, Matplotlib used to have separate backends for each version of Qt
+(e.g. qt4agg/``matplotlib.backends.backend_qt4agg`` and
+qt5agg/``matplotlib.backends.backend_qt5agg``).  This scheme was dropped when
+support for Qt6 was added.  For back-compatibility, qt5agg/``backend_qt5agg``
+and qt5cairo/``backend_qt5cairo`` remain available; selecting one of these
+backends forces the use of a Qt5 binding.  Their use is discouraged and
+``backend_qtagg`` or ``backend_qtcairo`` should be preferred instead.  However,
+these modules will not be deprecated until we drop support for Qt5.
+
+While both PyQt
+and Qt for Python (aka PySide) closely mirror the underlying C++ API they are
+wrapping, they are not drop-in replacements for each other [#]_.  To account
+for this, Matplotlib has an internal API compatibility layer in
+`matplotlib.backends.qt_compat` which covers our needs.  Despite being a public
+module, we do not consider this to be a stable user-facing API and it may
+change without warning [#]_.
+
+.. [#] There is also `PyQt4
+       <https://www.riverbankcomputing.com/static/Docs/PyQt4/>`_ and `PySide
+       <https://srinikom.github.io/pyside-docs/>`_ for Qt4 but these are no
+       longer supported by Matplotlib and upstream support for Qt4 ended
+       in 2015.
+.. [#] Despite the slight API differences, the more important distinction
+       between the PyQt and Qt for Python series of bindings is licensing.
+.. [#] If you are looking for a general purpose compatibility library please
+       see `qtpy <https://github.com/spyder-ide/qtpy>`_.
diff --git a/doc/api/backend_registry_api.rst b/doc/api/backend_registry_api.rst
new file mode 100644
index 000000000000..ca184c67d0a2
--- /dev/null
+++ b/doc/api/backend_registry_api.rst
@@ -0,0 +1,8 @@
+********************************
+``matplotlib.backends.registry``
+********************************
+
+.. automodule:: matplotlib.backends.registry
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_svg_api.rst b/doc/api/backend_svg_api.rst
new file mode 100644
index 000000000000..2e7c1c9f5db1
--- /dev/null
+++ b/doc/api/backend_svg_api.rst
@@ -0,0 +1,8 @@
+***********************************
+``matplotlib.backends.backend_svg``
+***********************************
+
+.. automodule:: matplotlib.backends.backend_svg
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_template_api.rst b/doc/api/backend_template_api.rst
new file mode 100644
index 000000000000..8198eeae121e
--- /dev/null
+++ b/doc/api/backend_template_api.rst
@@ -0,0 +1,8 @@
+****************************************
+``matplotlib.backends.backend_template``
+****************************************
+
+.. automodule:: matplotlib.backends.backend_template
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_tk_api.rst b/doc/api/backend_tk_api.rst
new file mode 100644
index 000000000000..08abf603fd91
--- /dev/null
+++ b/doc/api/backend_tk_api.rst
@@ -0,0 +1,13 @@
+******************************************************************************
+``matplotlib.backends.backend_tkagg``, ``matplotlib.backends.backend_tkcairo``
+******************************************************************************
+
+.. automodule:: matplotlib.backends.backend_tkagg
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. automodule:: matplotlib.backends.backend_tkcairo
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_tools_api.rst b/doc/api/backend_tools_api.rst
new file mode 100644
index 000000000000..994f32ac854e
--- /dev/null
+++ b/doc/api/backend_tools_api.rst
@@ -0,0 +1,8 @@
+****************************
+``matplotlib.backend_tools``
+****************************
+
+.. automodule:: matplotlib.backend_tools
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_webagg_api.rst b/doc/api/backend_webagg_api.rst
new file mode 100644
index 000000000000..ced3533da249
--- /dev/null
+++ b/doc/api/backend_webagg_api.rst
@@ -0,0 +1,8 @@
+**************************************
+``matplotlib.backends.backend_webagg``
+**************************************
+
+.. automodule:: matplotlib.backends.backend_webagg
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_webagg_core_api.rst b/doc/api/backend_webagg_core_api.rst
new file mode 100644
index 000000000000..0d1e58dd8f9f
--- /dev/null
+++ b/doc/api/backend_webagg_core_api.rst
@@ -0,0 +1,8 @@
+*******************************************
+``matplotlib.backends.backend_webagg_core``
+*******************************************
+
+.. automodule:: matplotlib.backends.backend_webagg_core
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/backend_wx_api.rst b/doc/api/backend_wx_api.rst
new file mode 100644
index 000000000000..bec832da0c13
--- /dev/null
+++ b/doc/api/backend_wx_api.rst
@@ -0,0 +1,12 @@
+******************************************************************************
+``matplotlib.backends.backend_wxagg``, ``matplotlib.backends.backend_wxcairo``
+******************************************************************************
+
+**NOTE** These :ref:`backends` are not documented here, to avoid adding a
+dependency to building the docs.
+
+.. redirect-from:: /api/backend_wxagg_api
+
+.. module:: matplotlib.backends.backend_wx
+.. module:: matplotlib.backends.backend_wxagg
+.. module:: matplotlib.backends.backend_wxcairo
diff --git a/doc/api/backend_wxagg_api.rst b/doc/api/backend_wxagg_api.rst
deleted file mode 100644
index 67c5a00be546..000000000000
--- a/doc/api/backend_wxagg_api.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-
-:mod:`matplotlib.backends.backend_wxagg`
-========================================
-
-.. automodule:: matplotlib.backends.backend_wxagg
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/doc/api/bezier_api.rst b/doc/api/bezier_api.rst
new file mode 100644
index 000000000000..45019153fa63
--- /dev/null
+++ b/doc/api/bezier_api.rst
@@ -0,0 +1,9 @@
+*********************
+``matplotlib.bezier``
+*********************
+
+.. automodule:: matplotlib.bezier
+   :members:
+   :undoc-members:
+   :special-members: __call__
+   :show-inheritance:
diff --git a/doc/api/category_api.rst b/doc/api/category_api.rst
new file mode 100644
index 000000000000..895f7c961141
--- /dev/null
+++ b/doc/api/category_api.rst
@@ -0,0 +1,8 @@
+***********************
+``matplotlib.category``
+***********************
+
+.. automodule:: matplotlib.category
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/cbook_api.rst b/doc/api/cbook_api.rst
index 7c133ce8fdd1..4c8ef9cc50fa 100644
--- a/doc/api/cbook_api.rst
+++ b/doc/api/cbook_api.rst
@@ -1,10 +1,6 @@
-*****
-cbook
-*****
-
-
-:mod:`matplotlib.cbook`
-=======================
+********************
+``matplotlib.cbook``
+********************
 
 .. automodule:: matplotlib.cbook
    :members:
diff --git a/doc/api/cm_api.rst b/doc/api/cm_api.rst
index 6cf4a262a62d..c9509389a2bb 100644
--- a/doc/api/cm_api.rst
+++ b/doc/api/cm_api.rst
@@ -1,11 +1,10 @@
-*************
-cm (colormap)
-*************
-
-:mod:`matplotlib.cm`
-====================
+*****************
+``matplotlib.cm``
+*****************
 
 .. automodule:: matplotlib.cm
    :members:
    :undoc-members:
    :show-inheritance:
+
+.. include:: scalarmappable.gen_rst
diff --git a/doc/api/collections_api.rst b/doc/api/collections_api.rst
index a62dbc0136cf..f2d9cb5226b2 100644
--- a/doc/api/collections_api.rst
+++ b/doc/api/collections_api.rst
@@ -1,15 +1,23 @@
-***********
-collections
-***********
+**************************
+``matplotlib.collections``
+**************************
 
 .. inheritance-diagram:: matplotlib.collections
    :parts: 2
-
-:mod:`matplotlib.collections`
-=============================
+   :private-bases:
 
 .. automodule:: matplotlib.collections
    :members:
    :undoc-members:
    :show-inheritance:
    :inherited-members:
+
+.. autoclass:: _CollectionWithSizes
+   :no-members:
+   :members: get_sizes, set_sizes
+   :class-doc-from: class
+
+.. autoclass:: _MeshData
+   :no-members:
+   :members: set_array
+   :class-doc-from: class
diff --git a/doc/api/colorbar_api.rst b/doc/api/colorbar_api.rst
index 26714dcebd38..745589a39fa4 100644
--- a/doc/api/colorbar_api.rst
+++ b/doc/api/colorbar_api.rst
@@ -1,10 +1,6 @@
-********
-colorbar
-********
-
-
-:mod:`matplotlib.colorbar`
-==========================
+***********************
+``matplotlib.colorbar``
+***********************
 
 .. automodule:: matplotlib.colorbar
    :members:
diff --git a/doc/api/colorizer_api.rst b/doc/api/colorizer_api.rst
new file mode 100644
index 000000000000..e72da5cfb030
--- /dev/null
+++ b/doc/api/colorizer_api.rst
@@ -0,0 +1,9 @@
+************************
+``matplotlib.colorizer``
+************************
+
+.. automodule:: matplotlib.colorizer
+   :members:
+   :undoc-members:
+   :show-inheritance:
+   :private-members: _ColorizerInterface, _ScalarMappable
diff --git a/doc/api/colors_api.rst b/doc/api/colors_api.rst
index bd577af02ed4..6b02f723d74d 100644
--- a/doc/api/colors_api.rst
+++ b/doc/api/colors_api.rst
@@ -1,15 +1,98 @@
-******
-colors
-******
+*********************
+``matplotlib.colors``
+*********************
 
-For a visual representation of the matplotlib colormaps, see the
-"Color" section in the gallery.
+.. note::
 
+   The Color :ref:`tutorials <tutorials-colors>` and :ref:`examples
+   <color_examples>` demonstrate how to set colors and colormaps. You may want
+   to read those instead.
 
-:mod:`matplotlib.colors`
-========================
+.. currentmodule:: matplotlib.colors
 
 .. automodule:: matplotlib.colors
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-inherited-members:
+
+Color norms
+-----------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   Normalize
+   NoNorm
+   AsinhNorm
+   BoundaryNorm
+   CenteredNorm
+   FuncNorm
+   LogNorm
+   PowerNorm
+   SymLogNorm
+   TwoSlopeNorm
+
+Univariate Colormaps
+--------------------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   Colormap
+   LinearSegmentedColormap
+   ListedColormap
+
+Multivariate Colormaps
+----------------------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   BivarColormap
+   SegmentedBivarColormap
+   BivarColormapFromImage
+
+Other classes
+-------------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   ColorSequenceRegistry
+   LightSource
+
+Functions
+---------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   from_levels_and_colors
+   hsv_to_rgb
+   rgb_to_hsv
+   to_hex
+   to_rgb
+   to_rgba
+   to_rgba_array
+   is_color_like
+   same_color
+   get_named_colors_mapping
+   make_norm_from_scale
+
+Exported colors
+---------------
+
+The data used to populate the :doc:`/gallery/color/named_colors` are exposed
+as dictionaries that map color names to hex strings.
+
+.. py:data:: BASE_COLORS
+
+.. py:data:: TABLEAU_COLORS
+
+.. py:data:: CSS4_COLORS
+
+.. py:data:: XKCD_COLORS
diff --git a/doc/api/container_api.rst b/doc/api/container_api.rst
new file mode 100644
index 000000000000..4bc05067fd26
--- /dev/null
+++ b/doc/api/container_api.rst
@@ -0,0 +1,8 @@
+************************
+``matplotlib.container``
+************************
+
+.. automodule:: matplotlib.container
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/contour_api.rst b/doc/api/contour_api.rst
new file mode 100644
index 000000000000..7fe159efd9eb
--- /dev/null
+++ b/doc/api/contour_api.rst
@@ -0,0 +1,8 @@
+**********************
+``matplotlib.contour``
+**********************
+
+.. automodule:: matplotlib.contour
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/dates_api.rst b/doc/api/dates_api.rst
index 6d9d8dd529b6..7a3e3bcf4a95 100644
--- a/doc/api/dates_api.rst
+++ b/doc/api/dates_api.rst
@@ -1,14 +1,13 @@
-*****
-dates
-*****
+********************
+``matplotlib.dates``
+********************
 
 .. inheritance-diagram:: matplotlib.dates
    :parts: 1
-
-:mod:`matplotlib.dates`
-=======================
+   :top-classes: matplotlib.ticker.Formatter, matplotlib.ticker.Locator
 
 .. automodule:: matplotlib.dates
    :members:
    :undoc-members:
+   :exclude-members: rrule
    :show-inheritance:
diff --git a/doc/api/dviread.rst b/doc/api/dviread.rst
index 99549ce02f59..9d07407a1753 100644
--- a/doc/api/dviread.rst
+++ b/doc/api/dviread.rst
@@ -1,11 +1,9 @@
-****************
-dviread
-****************
-
-:mod:`matplotlib.dviread`
-=========================
+**********************
+``matplotlib.dviread``
+**********************
 
 .. automodule:: matplotlib.dviread
    :members:
    :undoc-members:
+   :exclude-members: Page, Text, Box
    :show-inheritance:
diff --git a/doc/api/figure_api.rst b/doc/api/figure_api.rst
index 27e86a1fee14..5dd3adbfec9f 100644
--- a/doc/api/figure_api.rst
+++ b/doc/api/figure_api.rst
@@ -1,12 +1,318 @@
-******
-figure
-******
+*********************
+``matplotlib.figure``
+*********************
 
-
-:mod:`matplotlib.figure`
-========================
+.. currentmodule:: matplotlib.figure
 
 .. automodule:: matplotlib.figure
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-undoc-members:
+
+Figure
+======
+
+Figure class
+------------
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary_class_only.rst
+   :nosignatures:
+
+   Figure
+
+
+Adding Axes and SubFigures
+--------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.add_axes
+   Figure.add_subplot
+   Figure.subplots
+   Figure.subplot_mosaic
+   Figure.add_gridspec
+   Figure.get_axes
+   Figure.axes
+   Figure.delaxes
+   Figure.subfigures
+   Figure.add_subfigure
+
+Saving
+------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.savefig
+
+
+Annotating
+----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.colorbar
+   Figure.legend
+   Figure.text
+   Figure.suptitle
+   Figure.get_suptitle
+   Figure.supxlabel
+   Figure.get_supxlabel
+   Figure.supylabel
+   Figure.get_supylabel
+   Figure.align_labels
+   Figure.align_xlabels
+   Figure.align_ylabels
+   Figure.align_titles
+   Figure.autofmt_xdate
+
+
+Figure geometry
+---------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.set_size_inches
+   Figure.get_size_inches
+   Figure.set_figheight
+   Figure.get_figheight
+   Figure.set_figwidth
+   Figure.get_figwidth
+   Figure.dpi
+   Figure.set_dpi
+   Figure.get_dpi
+
+Subplot layout
+--------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.subplots_adjust
+   Figure.set_layout_engine
+   Figure.get_layout_engine
+
+Discouraged or deprecated
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.tight_layout
+   Figure.set_tight_layout
+   Figure.get_tight_layout
+   Figure.set_constrained_layout
+   Figure.get_constrained_layout
+   Figure.set_constrained_layout_pads
+   Figure.get_constrained_layout_pads
+
+Interactive
+-----------
+
+.. seealso::
+
+   - :ref:`event-handling`
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.ginput
+   Figure.add_axobserver
+   Figure.waitforbuttonpress
+   Figure.pick
+
+Modifying appearance
+--------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.set_frameon
+   Figure.get_frameon
+   Figure.set_linewidth
+   Figure.get_linewidth
+   Figure.set_facecolor
+   Figure.get_facecolor
+   Figure.set_edgecolor
+   Figure.get_edgecolor
+
+Adding and getting Artists
+--------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.add_artist
+   Figure.get_children
+   Figure.figimage
+
+Getting and modifying state
+---------------------------
+
+.. seealso::
+
+   - :ref:`interactive_figures`
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   Figure.clear
+   Figure.gca
+   Figure.sca
+   Figure.get_tightbbox
+   Figure.get_window_extent
+   Figure.show
+   Figure.set_canvas
+   Figure.draw
+   Figure.draw_without_rendering
+   Figure.draw_artist
+
+.. _figure-api-subfigure:
+
+SubFigure
+=========
+
+Matplotlib has the concept of a `~.SubFigure`, which is a logical figure inside
+a parent `~.Figure`.  It has many of the same methods as the parent.  See
+:ref:`nested_axes_layouts`.
+
+.. plot::
+
+   fig = plt.figure(layout='constrained', figsize=(4, 2.5), facecolor='lightgoldenrodyellow')
+
+   # Make two subfigures, left ones more narrow than right ones:
+   sfigs = fig.subfigures(1, 2, width_ratios=[0.8, 1])
+   sfigs[0].set_facecolor('khaki')
+   sfigs[1].set_facecolor('lightsalmon')
+
+   # Add subplots to left subfigure:
+   lax = sfigs[0].subplots(2, 1)
+   sfigs[0].suptitle('Left subfigure')
+
+   # Add subplots to right subfigure:
+   rax = sfigs[1].subplots(1, 2)
+   sfigs[1].suptitle('Right subfigure')
+
+   # suptitle for the main figure:
+   fig.suptitle('Figure')
+
+SubFigure class
+---------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary_class_only.rst
+   :nosignatures:
+
+   SubFigure
+
+Adding Axes and SubFigures
+--------------------------
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   SubFigure.add_axes
+   SubFigure.add_subplot
+   SubFigure.subplots
+   SubFigure.subplot_mosaic
+   SubFigure.add_gridspec
+   SubFigure.delaxes
+   SubFigure.add_subfigure
+   SubFigure.subfigures
+
+Annotating
+----------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   SubFigure.colorbar
+   SubFigure.legend
+   SubFigure.text
+   SubFigure.suptitle
+   SubFigure.get_suptitle
+   SubFigure.supxlabel
+   SubFigure.get_supxlabel
+   SubFigure.supylabel
+   SubFigure.get_supylabel
+   SubFigure.align_labels
+   SubFigure.align_xlabels
+   SubFigure.align_ylabels
+   SubFigure.align_titles
+
+Adding and getting Artists
+--------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   SubFigure.add_artist
+   SubFigure.get_children
+
+Modifying appearance
+--------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   SubFigure.set_frameon
+   SubFigure.get_frameon
+   SubFigure.set_linewidth
+   SubFigure.get_linewidth
+   SubFigure.set_facecolor
+   SubFigure.get_facecolor
+   SubFigure.set_edgecolor
+   SubFigure.get_edgecolor
+
+Passthroughs
+------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   SubFigure.set_dpi
+   SubFigure.get_dpi
+
+
+FigureBase parent class
+=======================
+
+.. autoclass:: FigureBase
+
+Helper functions
+================
+
+.. autofunction:: figaspect
diff --git a/doc/api/finance_api.rst b/doc/api/finance_api.rst
deleted file mode 100644
index 9b2c5021c675..000000000000
--- a/doc/api/finance_api.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-*******
-finance
-*******
-
-
-:mod:`matplotlib.finance`
-=========================
-
-.. automodule:: matplotlib.finance
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/doc/api/font_manager_api.rst b/doc/api/font_manager_api.rst
index 88d5fb38e5f9..1a1b06da1fa9 100644
--- a/doc/api/font_manager_api.rst
+++ b/doc/api/font_manager_api.rst
@@ -1,21 +1,16 @@
-************
-font_manager
-************
-
-:mod:`matplotlib.font_manager`
-==============================
+***************************
+``matplotlib.font_manager``
+***************************
 
 .. automodule:: matplotlib.font_manager
    :members:
+   :exclude-members: FontEntry
    :undoc-members:
    :show-inheritance:
 
-:mod:`matplotlib.fontconfig_pattern`
-====================================
-
-.. automodule:: matplotlib.fontconfig_pattern
-   :members:
-   :undoc-members:
-   :show-inheritance:
+.. data:: fontManager
 
+   The global instance of `FontManager`.
 
+.. autoclass:: FontEntry
+   :no-undoc-members:
diff --git a/doc/api/ft2font.rst b/doc/api/ft2font.rst
new file mode 100644
index 000000000000..a1f984abdda5
--- /dev/null
+++ b/doc/api/ft2font.rst
@@ -0,0 +1,8 @@
+**********************
+``matplotlib.ft2font``
+**********************
+
+.. automodule:: matplotlib.ft2font
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/gridspec_api.rst b/doc/api/gridspec_api.rst
index d4771f02ebdd..fe1137d94113 100644
--- a/doc/api/gridspec_api.rst
+++ b/doc/api/gridspec_api.rst
@@ -1,12 +1,22 @@
-********
-gridspec
-********
+***********************
+``matplotlib.gridspec``
+***********************
 
-
-:mod:`matplotlib.gridspec`
-==========================
+.. currentmodule:: matplotlib.gridspec
 
 .. automodule:: matplotlib.gridspec
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-inherited-members:
+
+Classes
+-------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   GridSpec
+   SubplotSpec
+   GridSpecBase
+   GridSpecFromSubplotSpec
+   SubplotParams
diff --git a/doc/api/hatch_api.rst b/doc/api/hatch_api.rst
new file mode 100644
index 000000000000..b706be379a15
--- /dev/null
+++ b/doc/api/hatch_api.rst
@@ -0,0 +1,8 @@
+********************
+``matplotlib.hatch``
+********************
+
+.. automodule:: matplotlib.hatch
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/image_api.rst b/doc/api/image_api.rst
index 15afe2e8a1b6..df3177395eef 100644
--- a/doc/api/image_api.rst
+++ b/doc/api/image_api.rst
@@ -1,10 +1,6 @@
-*****
-image
-*****
-
-
-:mod:`matplotlib.image`
-=======================
+********************
+``matplotlib.image``
+********************
 
 .. automodule:: matplotlib.image
    :members:
diff --git a/doc/api/index.rst b/doc/api/index.rst
index 5aa931966c11..04c0e279a4fe 100644
--- a/doc/api/index.rst
+++ b/doc/api/index.rst
@@ -1,39 +1,114 @@
-.. _api-index:
+API Reference
+=============
+
+Matplotlib interfaces
+---------------------
+
+Matplotlib has two interfaces. See :ref:`api_interfaces` for a more detailed
+description of both and their recommended use cases.
+
+.. grid:: 1 1 2 2
+    :padding: 0
+    :gutter: 2
+
+    .. grid-item-card::
+        :shadow: none
+        :class-footer: api-interface-footer
+
+        **Axes interface** (object-based, explicit)
+
+        create a `.Figure` and one or more `~.axes.Axes` objects, then *explicitly* use
+        methods on these objects to add data, configure limits, set labels etc.
+
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+        API:
+
+        - `~.pyplot.subplots`: create Figure and Axes
+        - :mod:`~matplotlib.axes`: add data, limits, labels etc.
+        - `.Figure`: for figure-level methods
+
+        +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+        Example:
+
+        .. code-block:: python
+           :class: api-interface-example
+
+           fig, ax = plt.subplots()
+           ax.plot(x, y)
+           ax.set_title("Sample plot")
+           plt.show()
+
 
-####################
-  The Matplotlib API
-####################
+    .. grid-item-card::
+        :shadow: none
+        :class-footer: api-interface-footer
 
-.. htmlonly::
+        **pyplot interface** (function-based, implicit)
 
-   :Release: |version|
-   :Date: |today|
+        consists of functions in the `.pyplot` module. Figure and Axes are manipulated
+        through these functions and are only *implicitly* present in the background.
+
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+        API:
+
+        - `matplotlib.pyplot`
+
+        +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+        Example:
+
+        .. code-block:: python
+           :class: api-interface-example
+
+           plt.plot(x, y)
+           plt.title("Sample plot")
+           plt.show()
+
+
+.. _api-index:
+
+Modules
+-------
+
+Alphabetical list of modules:
 
 .. toctree::
    :maxdepth: 1
 
-   pyplot_summary.rst
-   api_changes.rst
    matplotlib_configuration_api.rst
-   afm_api.rst
    animation_api.rst
    artist_api.rst
    axes_api.rst
    axis_api.rst
+   backend_bases_api.rst
+   backend_managers_api.rst
+   backend_tools_api.rst
    index_backend_api.rst
+   bezier_api.rst
+   category_api.rst
    cbook_api.rst
    cm_api.rst
    collections_api.rst
    colorbar_api.rst
+   colorizer_api.rst
    colors_api.rst
+   container_api.rst
+   contour_api.rst
    dates_api.rst
    dviread.rst
    figure_api.rst
-   finance_api.rst
    font_manager_api.rst
+   ft2font.rst
    gridspec_api.rst
+   hatch_api.rst
    image_api.rst
+   inset_api.rst
+   layout_engine_api.rst
    legend_api.rst
+   legend_handler_api.rst
    lines_api.rst
    markers_api.rst
    mathtext_api.rst
@@ -42,13 +117,36 @@
    patches_api.rst
    path_api.rst
    patheffects_api.rst
-   pyplot_api.rst
+   pyplot_summary.rst
+   projections_api.rst
+   quiver_api.rst
+   rcsetup_api.rst
    sankey_api.rst
+   scale_api.rst
+   sphinxext_mathmpl_api.rst
+   sphinxext_plot_directive_api.rst
+   sphinxext_figmpl_directive_api.rst
+   sphinxext_roles.rst
    spines_api.rst
+   style_api.rst
+   table_api.rst
+   testing_api.rst
    text_api.rst
+   texmanager_api.rst
    ticker_api.rst
-   tight_layout_api.rst
+   transformations.rst
    tri_api.rst
-   type1font.rst
+   typing_api.rst
    units_api.rst
    widgets_api.rst
+   _afm_api.rst
+   _api_api.rst
+   _docstring_api.rst
+   _enums_api.rst
+   _type1font.rst
+   _tight_bbox_api.rst
+   _tight_layout_api.rst
+   toolkits/mplot3d.rst
+   toolkits/axes_grid1.rst
+   toolkits/axisartist.rst
+   pylab.rst
diff --git a/doc/api/index_backend_api.rst b/doc/api/index_backend_api.rst
index 6dbccb231280..66009d86825d 100644
--- a/doc/api/index_backend_api.rst
+++ b/doc/api/index_backend_api.rst
@@ -1,14 +1,26 @@
-********
-backends
-********
+***********************
+``matplotlib.backends``
+***********************
+
+.. module:: matplotlib.backends
 
 .. toctree::
+   :maxdepth: 1
 
-   backend_bases_api.rst
-   backend_gtkagg_api.rst
-   backend_qt4agg_api.rst
-   backend_wxagg_api.rst
+   backend_mixed_api.rst
+   backend_template_api.rst
+   backend_agg_api.rst
+   backend_cairo_api.rst
+   backend_gtk3_api.rst
+   backend_gtk4_api.rst
+   backend_nbagg_api.rst
    backend_pdf_api.rst
-..   backend_webagg.rst
-   dviread.rst
-   type1font.rst
+   backend_pgf_api.rst
+   backend_ps_api.rst
+   backend_registry_api.rst
+   backend_qt_api.rst
+   backend_svg_api.rst
+   backend_tk_api.rst
+   backend_webagg_core_api.rst
+   backend_webagg_api.rst
+   backend_wx_api.rst
diff --git a/doc/api/inset_api.rst b/doc/api/inset_api.rst
new file mode 100644
index 000000000000..d8b89a106a7a
--- /dev/null
+++ b/doc/api/inset_api.rst
@@ -0,0 +1,8 @@
+********************
+``matplotlib.inset``
+********************
+
+.. automodule:: matplotlib.inset
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/layout_engine_api.rst b/doc/api/layout_engine_api.rst
new file mode 100644
index 000000000000..8890061e0979
--- /dev/null
+++ b/doc/api/layout_engine_api.rst
@@ -0,0 +1,9 @@
+****************************
+``matplotlib.layout_engine``
+****************************
+
+.. currentmodule:: matplotlib.layout_engine
+
+.. automodule:: matplotlib.layout_engine
+   :members:
+   :inherited-members:
diff --git a/doc/api/legend_api.rst b/doc/api/legend_api.rst
index a72da7b84a61..c6808b15665d 100644
--- a/doc/api/legend_api.rst
+++ b/doc/api/legend_api.rst
@@ -1,18 +1,8 @@
-******
-Legend
-******
-
-
-:mod:`matplotlib.legend`
-=========================
+*********************
+``matplotlib.legend``
+*********************
 
 .. automodule:: matplotlib.legend
    :members:
    :undoc-members:
    :show-inheritance:
-
-:mod:`matplotlib.legend_handler`
-================================
-.. automodule:: matplotlib.legend_handler
-      :members:
-      :undoc-members:
diff --git a/doc/api/legend_handler_api.rst b/doc/api/legend_handler_api.rst
new file mode 100644
index 000000000000..dfdf04730ce2
--- /dev/null
+++ b/doc/api/legend_handler_api.rst
@@ -0,0 +1,7 @@
+*****************************
+``matplotlib.legend_handler``
+*****************************
+
+.. automodule:: matplotlib.legend_handler
+      :members:
+      :undoc-members:
diff --git a/doc/api/lines_api.rst b/doc/api/lines_api.rst
index 46b7a3bfe58d..bf7ec73493a3 100644
--- a/doc/api/lines_api.rst
+++ b/doc/api/lines_api.rst
@@ -1,12 +1,29 @@
-*****
-lines
-*****
+********************
+``matplotlib.lines``
+********************
 
-
-:mod:`matplotlib.lines`
-=======================
+.. currentmodule:: matplotlib.lines
 
 .. automodule:: matplotlib.lines
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-inherited-members:
+
+Classes
+-------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   Line2D
+   VertexSelector
+   AxLine
+
+Functions
+---------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   segment_hits
diff --git a/doc/api/markers_api.rst b/doc/api/markers_api.rst
index 11e35f98638e..5193d2dd90c9 100644
--- a/doc/api/markers_api.rst
+++ b/doc/api/markers_api.rst
@@ -1,12 +1,18 @@
-*******
-Markers
-*******
+**********************
+``matplotlib.markers``
+**********************
 
-
-:mod:`matplotlib.markers`
-=========================
+.. currentmodule:: matplotlib.markers
 
 .. automodule:: matplotlib.markers
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-inherited-members:
+
+Classes
+-------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   MarkerStyle
diff --git a/doc/api/mathtext_api.rst b/doc/api/mathtext_api.rst
index 689c0ade3aa5..295ed0382c61 100644
--- a/doc/api/mathtext_api.rst
+++ b/doc/api/mathtext_api.rst
@@ -1,13 +1,10 @@
-********
-mathtext
-********
+***********************
+``matplotlib.mathtext``
+***********************
 
 .. inheritance-diagram:: matplotlib.mathtext
    :parts: 1
 
-:mod:`matplotlib.mathtext`
-=============================
-
 .. automodule:: matplotlib.mathtext
    :members:
    :undoc-members:
diff --git a/doc/api/matplotlib_configuration_api.rst b/doc/api/matplotlib_configuration_api.rst
index 9f0ad3678ffb..d5dc60c80613 100644
--- a/doc/api/matplotlib_configuration_api.rst
+++ b/doc/api/matplotlib_configuration_api.rst
@@ -1,37 +1,75 @@
-The top level :mod:`matplotlib` module
-======================================
-
+**************
+``matplotlib``
+**************
 
 .. py:currentmodule:: matplotlib
 
+.. automodule:: matplotlib
+   :no-members:
+   :no-undoc-members:
+   :noindex:
+
+Backend management
+==================
+
 .. autofunction:: use
 
 .. autofunction:: get_backend
 
+.. autofunction:: interactive
+
+.. autofunction:: is_interactive
+
+Default values and styling
+==========================
+
 .. py:data:: rcParams
 
-    An instance of :class:`RcParams` for handling default matplotlib values.
+   An instance of `RcParams` for handling default Matplotlib values.
+
+.. autoclass:: RcParams
+   :no-members:
+
+   .. automethod:: find_all
+   .. automethod:: copy
+
+.. autofunction:: rc_context
 
 .. autofunction:: rc
 
-.. autofunction::rcdefaults
+.. autofunction:: rcdefaults
 
-.. autofunction::rc_file
+.. autofunction:: rc_file_defaults
 
-.. autofunction::rc_context
+.. autofunction:: rc_file
+
+.. autofunction:: rc_params
+
+.. autofunction:: rc_params_from_file
+
+.. autofunction:: get_configdir
 
 .. autofunction:: matplotlib_fname
 
-.. autofunction::rc_file_defaults
+.. autofunction:: get_data_path
 
-.. autofunction::interactive
+Logging
+=======
 
-.. autofunction::is_interactive
+.. autofunction:: set_loglevel
 
-.. autoclass:: RcParams
+Colormaps and color sequences
+=============================
 
-.. autofunction:: rc_params
+.. autodata:: colormaps
+   :no-value:
 
-.. autofunction:: rc_params_from_file
+.. autodata:: color_sequences
+   :no-value:
+
+Miscellaneous
+=============
+
+.. autoclass:: MatplotlibDeprecationWarning
 
-.. autoclass:: rc_context
+.. autofunction:: get_cachedir
diff --git a/doc/api/mlab_api.rst b/doc/api/mlab_api.rst
index 4e326b353a50..3e80b04cad27 100644
--- a/doc/api/mlab_api.rst
+++ b/doc/api/mlab_api.rst
@@ -1,10 +1,6 @@
-****
-mlab
-****
-
-
-:mod:`matplotlib.mlab`
-=======================
+*******************
+``matplotlib.mlab``
+*******************
 
 .. automodule:: matplotlib.mlab
    :members:
diff --git a/doc/api/next_api_changes.rst b/doc/api/next_api_changes.rst
new file mode 100644
index 000000000000..9c0630697763
--- /dev/null
+++ b/doc/api/next_api_changes.rst
@@ -0,0 +1,44 @@
+
+================
+Next API changes
+================
+
+.. ifconfig:: releaselevel == 'dev'
+
+   This page lists API changes for the next release.
+
+   Behavior changes
+   ----------------
+
+   .. toctree::
+      :glob:
+      :maxdepth: 1
+
+      next_api_changes/behavior/*
+
+   Deprecations
+   ------------
+
+   .. toctree::
+      :glob:
+      :maxdepth: 1
+
+      next_api_changes/deprecations/*
+
+   Removals
+   --------
+
+   .. toctree::
+      :glob:
+      :maxdepth: 1
+
+      next_api_changes/removals/*
+
+   Development changes
+   -------------------
+
+   .. toctree::
+      :glob:
+      :maxdepth: 1
+
+      next_api_changes/development/*
diff --git a/doc/api/next_api_changes/README.rst b/doc/api/next_api_changes/README.rst
new file mode 100644
index 000000000000..1f40122aa318
--- /dev/null
+++ b/doc/api/next_api_changes/README.rst
@@ -0,0 +1,45 @@
+:orphan:
+
+.. NOTE TO EDITORS OF THIS FILE
+   This file serves as the README directly available in the file system next to the
+   next_api_changes entries. The content between the ``api-change-guide-*`` markers is
+   additionally included in the documentation page ``doc/devel/api_changes.rst``. Please
+   check that the page builds correctly after changing this file.
+
+Adding API change notes
+=======================
+
+.. api-change-guide-start
+
+API change notes for future releases are collected in :file:`doc/api/next_api_changes/`.
+They are divided into four subdirectories:
+
+- **Deprecations**: Announcements of future changes. Typically, these will
+  raise a deprecation warning and users of this API should change their code
+  to stay compatible with future releases of Matplotlib. If possible, state
+  what should be used instead.
+- **Removals**: Parts of the API that got removed. If possible, state what
+  should be used instead.
+- **Behaviour changes**: API that stays valid but will yield a different
+  result.
+- **Development changes**: Changes to the build process, dependencies, etc.
+
+Please place new entries in these directories with a new file named
+``99999-ABC.rst``, where ``99999`` would be the PR number, and ``ABC`` the
+author's initials. Typically, each change will get its own file, but you may
+also amend existing files when suitable. The overall goal is a comprehensible
+documentation of the changes.
+
+A typical entry could look like this::
+
+   Locators
+   ~~~~~~~~
+   The unused `Locator.autoscale()` method is deprecated (pass the axis
+   limits to `Locator.view_limits()` instead).
+
+Please avoid using references in section titles, as it causes links to be
+confusing in the table of contents. Instead, ensure that a reference is
+included in the descriptive text. Use inline literals (double backticks)
+to denote code objects in the title.
+
+.. api-change-guide-end
diff --git a/doc/api/next_api_changes/behavior/00001-ABC.rst b/doc/api/next_api_changes/behavior/00001-ABC.rst
new file mode 100644
index 000000000000..f6d8c1d8b351
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/00001-ABC.rst
@@ -0,0 +1,7 @@
+Behavior change template
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Enter description here....
+
+Please rename file with PR number and your initials i.e. "99999-ABC.rst"
+and ``git add`` the new file.
diff --git a/doc/api/next_api_changes/behavior/28437-CH.rst b/doc/api/next_api_changes/behavior/28437-CH.rst
new file mode 100644
index 000000000000..6121dfec8163
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/28437-CH.rst
@@ -0,0 +1,8 @@
+*alpha* parameter handling on images
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When passing and array to ``imshow(..., alpha=...)``, the parameter was silently ignored
+if the image data was a RGB or RBGA image or if :rc:`interpolation_state`
+resolved to "rbga".
+
+This is now fixed, and the alpha array overwrites any previous transparency information.
diff --git a/doc/api/next_api_changes/behavior/29054-AL.rst b/doc/api/next_api_changes/behavior/29054-AL.rst
new file mode 100644
index 000000000000..3c65e9ae9b78
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/29054-AL.rst
@@ -0,0 +1,11 @@
+Minor log tick labels are set depending on number of major log ticks, not on number of decades spanned
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, by default, on a log-scaled axis, the minor ticks would be
+unlabeled if the axis limits spanned more than one decade.  The meaning of the
+``minor_thresholds`` parameter to `.LogFormatter` has been altered so that the
+decision of whether to label the minor ticks is now based on the number of
+major ticks drawn within the axis limits.
+
+For example, for an axis spanning from 4 to 60 (with thus a single major log
+tick, at 10), minor ticks are now labeled, even though the axis spans more than
+one decade.
diff --git a/doc/api/next_api_changes/behavior/29256_IMT.rst b/doc/api/next_api_changes/behavior/29256_IMT.rst
new file mode 100644
index 000000000000..57ec8f68d85c
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/29256_IMT.rst
@@ -0,0 +1,6 @@
+Setting titles of figures using webagg backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously when using the ``webagg`` backend the title of a figure was set using
+``figure.set_label``. Now it is set using ``figure.canvas.manager.set_window_title``
+which is more consistent with other backends.
diff --git a/doc/api/next_api_changes/behavior/29827-ES.rst b/doc/api/next_api_changes/behavior/29827-ES.rst
new file mode 100644
index 000000000000..d25dfa0c6574
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/29827-ES.rst
@@ -0,0 +1,6 @@
+``matplotlib.testing.check_figures_equal`` defaults to PNG only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In most cases, checking that figures are equal with `.check_figures_equal` does not
+depend on the file format. Consequently, the *extensions* parameter now defaults to
+``['png']`` instead of ``['png', 'pdf', 'svg']``, reducing default test requirements.
diff --git a/doc/api/next_api_changes/behavior/29832-REC.rst b/doc/api/next_api_changes/behavior/29832-REC.rst
new file mode 100644
index 000000000000..a23b043a823b
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/29832-REC.rst
@@ -0,0 +1,11 @@
+Mixing positional and keyword arguments for ``legend`` handles and labels...
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is no longer valid.  If passing *handles* and *labels* to ``legend``, they must
+now be passed either both positionally or both as keywords.
+
+Legend labels for ``plot``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously if a sequence was passed to the *label* parameter of `~.Axes.plot` when
+plotting a single dataset, the sequence was automatically cast to string for the legend
+label.  Now, if the sequence length is not one an error is raised.  To keep the old
+behavior, cast the sequence to string before passing.
diff --git a/doc/api/next_api_changes/deprecations/00001-ABC.rst b/doc/api/next_api_changes/deprecations/00001-ABC.rst
new file mode 100644
index 000000000000..541047ed1d8d
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/00001-ABC.rst
@@ -0,0 +1,7 @@
+Template for deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Add description here...
+
+Please rename file with PR number and your initials i.e. "99999-ABC.rst"
+and ``git add`` the new file.
diff --git a/doc/api/next_api_changes/deprecations/27551-AL.rst b/doc/api/next_api_changes/deprecations/27551-AL.rst
new file mode 100644
index 000000000000..4811f542bd5f
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/27551-AL.rst
@@ -0,0 +1,4 @@
+``GridFinder.transform_xy`` and ``GridFinder.inv_transform_xy``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated.  Directly use the standard transform returned by
+`.GridFinder.get_transform` instead.
diff --git a/doc/api/next_api_changes/deprecations/27972-AL.rst b/doc/api/next_api_changes/deprecations/27972-AL.rst
new file mode 100644
index 000000000000..cf14b24345b5
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/27972-AL.rst
@@ -0,0 +1,8 @@
+``axes_grid.Grid.ngrids``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+This attribute has been deprecated and renamed ``n_axes``, consistently with
+the new name of the `~.axes_grid.Grid` constructor parameter that allows
+setting the actual number of axes in the grid (the old parameter, ``ngrids``,
+did not actually work since Matplotlib 3.3).
+
+The same change has been made in ``axes_grid.ImageGrid``.
diff --git a/doc/api/next_api_changes/deprecations/27998-TS.rst b/doc/api/next_api_changes/deprecations/27998-TS.rst
new file mode 100644
index 000000000000..ab69b87f0989
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/27998-TS.rst
@@ -0,0 +1,7 @@
+``violinplot`` and ``violin`` *vert* parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter *vert: bool* has been deprecated on `~.Axes.violinplot` and
+`~.Axes.violin`.
+It will be replaced by *orientation: {"vertical", "horizontal"}* for API
+consistency.
diff --git a/doc/api/next_api_changes/deprecations/28074-TS.rst b/doc/api/next_api_changes/deprecations/28074-TS.rst
new file mode 100644
index 000000000000..6a8b5d4b21b8
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/28074-TS.rst
@@ -0,0 +1,9 @@
+``boxplot`` and ``bxp`` *vert* parameter, and ``rcParams["boxplot.vertical"]``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter *vert: bool* has been deprecated on `~.Axes.boxplot` and
+`~.Axes.bxp`. It is replaced by *orientation: {"vertical", "horizontal"}*
+for API consistency.
+
+``rcParams["boxplot.vertical"]``, which controlled the orientation of ``boxplot``,
+is deprecated without replacement.
diff --git a/doc/api/next_api_changes/deprecations/29135-TH.rst b/doc/api/next_api_changes/deprecations/29135-TH.rst
new file mode 100644
index 000000000000..e2289a248076
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/29135-TH.rst
@@ -0,0 +1,5 @@
+Parameter ``ListedColormap(..., N=...)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing the parameter *N* to `.ListedColormap` is deprecated.
+Please preprocess the list colors yourself if needed.
diff --git a/doc/api/next_api_changes/deprecations/29529-TH.rst b/doc/api/next_api_changes/deprecations/29529-TH.rst
new file mode 100644
index 000000000000..e396e68c4aa1
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/29529-TH.rst
@@ -0,0 +1,7 @@
+Capitalization of None in matplotlibrc
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In :file:`matplotlibrc` config files every capitalization of None was
+accepted for denoting the Python constant `None`. This is deprecated. The
+only accepted capitalization is now None, i.e. starting with a capital letter
+and all other letters in lowercase.
diff --git a/doc/api/next_api_changes/deprecations/29817-AL.rst b/doc/api/next_api_changes/deprecations/29817-AL.rst
new file mode 100644
index 000000000000..f3b339ed7c10
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/29817-AL.rst
@@ -0,0 +1,7 @@
+``DviFont.widths``
+~~~~~~~~~~~~~~~~~~
+... is deprecated with no replacement.
+
+Direct access to ``Tfm``'s ``widths``, ``heights``, ``depths`` dicts
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated; access a glyph's metrics with `.Tfm.get_metrics` instead.
diff --git a/doc/api/next_api_changes/deprecations/29904-tac.rst b/doc/api/next_api_changes/deprecations/29904-tac.rst
new file mode 100644
index 000000000000..8e4f986ffa77
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/29904-tac.rst
@@ -0,0 +1,16 @@
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.11, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+----------------+
+| Dependency |  min in mpl3.10 | min in mpl3.11 |
++============+=================+================+
+|   Python   |       3.10      |      3.11      |
+|   NumPy    |       1.23      |      1.25      |
++------------+-----------------+----------------+
+
+This is consistent with our :ref:`min_deps_policy` and `SPEC0
+<https://scientific-python.org/specs/spec-0000/>`__
diff --git a/doc/api/next_api_changes/deprecations/30027-AL.rst b/doc/api/next_api_changes/deprecations/30027-AL.rst
new file mode 100644
index 000000000000..ed65d9391371
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/30027-AL.rst
@@ -0,0 +1,3 @@
+``PdfFile.fontNames``, ``PdfFile.dviFontInfo``, ``PdfFile.type1Descriptors``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated with no replacement.
diff --git a/doc/api/next_api_changes/deprecations/30044-AL.rst b/doc/api/next_api_changes/deprecations/30044-AL.rst
new file mode 100644
index 000000000000..e004d5f2730f
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/30044-AL.rst
@@ -0,0 +1,12 @@
+``FT2Image``
+~~~~~~~~~~~~
+... is deprecated.  Use 2D uint8 ndarrays instead.  In particular:
+
+- The ``FT2Image`` constructor took ``width, height`` as separate parameters
+  but the ndarray constructor takes ``(height, width)`` as single tuple
+  parameter.
+- `.FT2Font.draw_glyph_to_bitmap` now (also) takes 2D uint8 arrays as input.
+- ``FT2Image.draw_rect_filled`` should be replaced by directly setting pixel
+  values to black.
+- The ``image`` attribute of the object returned by ``MathTextParser("agg").parse``
+  is now a 2D uint8 array.
diff --git a/doc/api/next_api_changes/deprecations/30070-OG.rst b/doc/api/next_api_changes/deprecations/30070-OG.rst
new file mode 100644
index 000000000000..98786bcfa1d2
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/30070-OG.rst
@@ -0,0 +1,4 @@
+``BezierSegment.point_at_t``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated. Instead, it is possible to call the BezierSegment with an argument.
diff --git a/doc/api/next_api_changes/deprecations/30088-AL.rst b/doc/api/next_api_changes/deprecations/30088-AL.rst
new file mode 100644
index 000000000000..ae1338da7f85
--- /dev/null
+++ b/doc/api/next_api_changes/deprecations/30088-AL.rst
@@ -0,0 +1,4 @@
+*fontfile* parameter of ``PdfFile.createType1Descriptor``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This parameter is deprecated; all relevant pieces of information are now
+directly extracted from the *t1font* argument.
diff --git a/doc/api/next_api_changes/development/00001-ABC.rst b/doc/api/next_api_changes/development/00001-ABC.rst
new file mode 100644
index 000000000000..6db90a13e44c
--- /dev/null
+++ b/doc/api/next_api_changes/development/00001-ABC.rst
@@ -0,0 +1,7 @@
+Development change template
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Enter description here....
+
+Please rename file with PR number and your initials i.e. "99999-ABC.rst"
+and ``git add`` the new file.
diff --git a/doc/api/next_api_changes/development/29745-DS.rst b/doc/api/next_api_changes/development/29745-DS.rst
new file mode 100644
index 000000000000..7d9b1c2b143b
--- /dev/null
+++ b/doc/api/next_api_changes/development/29745-DS.rst
@@ -0,0 +1,4 @@
+New minimum version of pyparsing
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The minimum required version of ``pyparsing`` has been updated from 2.3.1 to 3.0.0.
diff --git a/doc/api/next_api_changes/removals/00001-ABC.rst b/doc/api/next_api_changes/removals/00001-ABC.rst
new file mode 100644
index 000000000000..3cc5b6344f7f
--- /dev/null
+++ b/doc/api/next_api_changes/removals/00001-ABC.rst
@@ -0,0 +1,7 @@
+Removal change template
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Enter description of methods/classes removed here....
+
+Please rename file with PR number and your initials i.e. "99999-ABC.rst"
+and ``git add`` the new file.
diff --git a/doc/api/next_api_changes/removals/29697-REC.rst b/doc/api/next_api_changes/removals/29697-REC.rst
new file mode 100644
index 000000000000..0155578f0c21
--- /dev/null
+++ b/doc/api/next_api_changes/removals/29697-REC.rst
@@ -0,0 +1,10 @@
+``plot_date``
+~~~~~~~~~~~~~
+
+Use of ``plot_date`` has been discouraged since Matplotlib 3.5 and deprecated
+since 3.9. The ``plot_date`` function has now been removed.
+
+- ``datetime``-like data should directly be plotted using `~.Axes.plot`.
+-  If you need to plot plain numeric data as :ref:`date-format` or need to set
+   a timezone, call ``ax.xaxis.axis_date`` / ``ax.yaxis.axis_date`` before
+   `~.Axes.plot`. See `.Axis.axis_date`.
diff --git a/doc/api/next_api_changes/removals/30004-DS.rst b/doc/api/next_api_changes/removals/30004-DS.rst
new file mode 100644
index 000000000000..f5fdf214366c
--- /dev/null
+++ b/doc/api/next_api_changes/removals/30004-DS.rst
@@ -0,0 +1,10 @@
+``apply_theta_transforms`` option in ``PolarTransform``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Applying theta transforms in `~matplotlib.projections.polar.PolarTransform` and
+`~matplotlib.projections.polar.InvertedPolarTransform` has been removed, and
+the ``apply_theta_transforms`` keyword argument removed from both classes.
+
+If you need to retain the behaviour where theta values
+are transformed, chain the ``PolarTransform`` with a `~matplotlib.transforms.Affine2D`
+transform that performs the theta shift and/or sign shift.
diff --git a/doc/api/next_api_changes/removals/30005-DS.rst b/doc/api/next_api_changes/removals/30005-DS.rst
new file mode 100644
index 000000000000..a5ba482c848f
--- /dev/null
+++ b/doc/api/next_api_changes/removals/30005-DS.rst
@@ -0,0 +1,11 @@
+``matplotlib.cm.get_cmap``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Colormaps are now available through the `.ColormapRegistry` accessible via
+`matplotlib.colormaps` or `matplotlib.pyplot.colormaps`.
+
+If you have the name of a colormap as a string, you can use a direct lookup,
+``matplotlib.colormaps[name]`` or ``matplotlib.pyplot.colormaps[name]``  . Alternatively, ``matplotlib.colormaps.get_cmap`` will
+maintain the existing behavior of additionally passing through `.Colormap` instances
+and converting ``None`` to the default colormap. `matplotlib.pyplot.get_cmap` will stay as a
+shortcut to ``matplotlib.colormaps.get_cmap``.
diff --git a/doc/api/next_api_changes/removals/30014-DS.rst b/doc/api/next_api_changes/removals/30014-DS.rst
new file mode 100644
index 000000000000..d13737f17e40
--- /dev/null
+++ b/doc/api/next_api_changes/removals/30014-DS.rst
@@ -0,0 +1,4 @@
+``GridHelperCurveLinear.get_tick_iterator``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is removed with no replacement.
diff --git a/doc/api/next_api_changes/removals/30015-DS.rst b/doc/api/next_api_changes/removals/30015-DS.rst
new file mode 100644
index 000000000000..e5f17518a9f3
--- /dev/null
+++ b/doc/api/next_api_changes/removals/30015-DS.rst
@@ -0,0 +1,9 @@
+*nth_coord* parameter to axisartist helpers for fixed axis
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Helper APIs in `.axisartist` for generating a "fixed" axis on rectilinear axes
+(`.FixedAxisArtistHelperRectilinear`) no longer take a *nth_coord* parameter.
+That parameter is entirely inferred from the (required) *loc* parameter.
+
+For curvilinear axes, the *nth_coord* parameter remains supported (it affects
+the *ticks*, not the axis position itself), but it is now keyword-only.
diff --git a/doc/api/next_api_changes/removals/30067-OG.rst b/doc/api/next_api_changes/removals/30067-OG.rst
new file mode 100644
index 000000000000..1a8d8bc5c2c5
--- /dev/null
+++ b/doc/api/next_api_changes/removals/30067-OG.rst
@@ -0,0 +1,23 @@
+``TransformNode.is_bbox``
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... is removed. Instead check the object using ``isinstance(..., BboxBase)``.
+
+``rcsetup.interactive_bk``, ``rcsetup.non_interactive_bk`` and ``rcsetup.all_backends``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... are removed and replaced by ``matplotlib.backends.backend_registry.list_builtin``
+with the following arguments
+
+- ``matplotlib.backends.BackendFilter.INTERACTIVE``
+- ``matplotlib.backends.BackendFilter.NON_INTERACTIVE``
+- ``None``
+
+``BboxTransformToMaxOnly``
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... is removed. It can be replaced by ``BboxTransformTo(LockableBbox(bbox, x0=0, y0=0))``.
+
+*interval* parameter of ``TimerBase.start``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+The timer interval parameter can no longer be set while starting it. The interval can be specified instead in the timer constructor, or by setting the timer.interval attribute.
diff --git a/doc/api/offsetbox_api.rst b/doc/api/offsetbox_api.rst
index 1ed7e55504db..667444fdf55f 100644
--- a/doc/api/offsetbox_api.rst
+++ b/doc/api/offsetbox_api.rst
@@ -1,10 +1,9 @@
-*********
-offsetbox
-*********
+************************
+``matplotlib.offsetbox``
+************************
 
-
-:mod:`matplotlib.offsetbox`
-===========================
+.. inheritance-diagram:: matplotlib.offsetbox
+   :parts: 1
 
 .. automodule:: matplotlib.offsetbox
    :members:
diff --git a/doc/api/patches_api.rst b/doc/api/patches_api.rst
index fabd77545650..5b1eefa91971 100644
--- a/doc/api/patches_api.rst
+++ b/doc/api/patches_api.rst
@@ -1,12 +1,50 @@
-*******
-patches
-*******
+**********************
+``matplotlib.patches``
+**********************
 
 
-:mod:`matplotlib.patches`
-=========================
+.. inheritance-diagram:: matplotlib.patches
+   :parts: 1
 
 .. automodule:: matplotlib.patches
-   :members:
-   :undoc-members:
-   :show-inheritance:
+   :no-members:
+   :no-inherited-members:
+
+Classes
+-------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   Annulus
+   Arc
+   Arrow
+   ArrowStyle
+   BoxStyle
+   Circle
+   CirclePolygon
+   ConnectionPatch
+   ConnectionStyle
+   Ellipse
+   FancyArrow
+   FancyArrowPatch
+   FancyBboxPatch
+   Patch
+   PathPatch
+   StepPatch
+   Polygon
+   Rectangle
+   RegularPolygon
+   Shadow
+   Wedge
+
+Functions
+---------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   bbox_artist
+   draw_bbox
diff --git a/doc/api/path_api.rst b/doc/api/path_api.rst
index d67bbb2536e4..4ee7200b1921 100644
--- a/doc/api/path_api.rst
+++ b/doc/api/path_api.rst
@@ -1,10 +1,6 @@
-****
-path
-****
-
-
-:mod:`matplotlib.path`
-=======================
+*******************
+``matplotlib.path``
+*******************
 
 .. automodule:: matplotlib.path
    :members:
diff --git a/doc/api/patheffects_api.rst b/doc/api/patheffects_api.rst
index 0efcc14a114a..1f124b051d13 100644
--- a/doc/api/patheffects_api.rst
+++ b/doc/api/patheffects_api.rst
@@ -1,10 +1,6 @@
-***********
-patheffects
-***********
-
-
-:mod:`matplotlib.patheffects`
-=============================
+**************************
+``matplotlib.patheffects``
+**************************
 
 .. automodule:: matplotlib.patheffects
    :members:
diff --git a/doc/api/prev_api_changes/api_changes_0.40.rst b/doc/api/prev_api_changes/api_changes_0.40.rst
new file mode 100644
index 000000000000..83815ff43157
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.40.rst
@@ -0,0 +1,67 @@
+
+Changes for 0.40
+================
+
+.. code-block:: text
+
+  - Artist
+      * __init__ takes a DPI instance and a Bound2D instance which is
+        the bounding box of the artist in display coords
+      * get_window_extent returns a Bound2D instance
+      * set_size is removed; replaced by bbox and dpi
+      * the clip_gc method is removed.  Artists now clip themselves with
+        their box
+      * added _clipOn boolean attribute.  If True, gc clip to bbox.
+
+  - AxisTextBase
+      * Initialized with a transx, transy which are Transform instances
+      * set_drawing_area removed
+      * get_left_right and get_top_bottom are replaced by get_window_extent
+
+  - Line2D Patches now take transx, transy
+      * Initialized with a transx, transy which are Transform instances
+
+  - Patches
+     * Initialized with a transx, transy which are Transform instances
+
+  - FigureBase attributes dpi is a DPI instance rather than scalar and
+    new attribute bbox is a Bound2D in display coords, and I got rid
+    of the left, width, height, etc... attributes.  These are now
+    accessible as, for example, bbox.x.min is left, bbox.x.interval()
+    is width, bbox.y.max is top, etc...
+
+  - GcfBase attribute pagesize renamed to figsize
+
+  - Axes
+      * removed figbg attribute
+      * added fig instance to __init__
+      * resizing is handled by figure call to resize.
+
+  - Subplot
+      * added fig instance to __init__
+
+  - Renderer methods for patches now take gcEdge and gcFace instances.
+    gcFace=None takes the place of filled=False
+
+  - True and False symbols provided by cbook in a python2.3 compatible
+    way
+
+  - new module transforms supplies Bound1D, Bound2D and Transform
+    instances and more
+
+  - Changes to the MATLAB helpers API
+
+    * _matlab_helpers.GcfBase is renamed by Gcf.  Backends no longer
+      need to derive from this class.  Instead, they provide a factory
+      function new_figure_manager(num, figsize, dpi).  The destroy
+      method of the GcfDerived from the backends is moved to the derived
+      FigureManager.
+
+    * FigureManagerBase moved to backend_bases
+
+    * Gcf.get_all_figwins renamed to Gcf.get_all_fig_managers
+
+  Jeremy:
+
+    Make sure to self._reset = False in AxisTextWX._set_font.  This was
+    something missing in my backend code.
diff --git a/doc/api/prev_api_changes/api_changes_0.42.rst b/doc/api/prev_api_changes/api_changes_0.42.rst
new file mode 100644
index 000000000000..e90d2af0ab2c
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.42.rst
@@ -0,0 +1,37 @@
+Changes for 0.42
+================
+
+.. code-block:: text
+
+  * Refactoring AxisText to be backend independent.  Text drawing and
+    get_window_extent functionality will be moved to the Renderer.
+
+  * backend_bases.AxisTextBase is now text.Text module
+
+  * All the erase and reset functionality removed from AxisText - not
+    needed with double buffered drawing.  Ditto with state change.
+    Text instances have a get_prop_tup method that returns a hashable
+    tuple of text properties which you can use to see if text props
+    have changed, e.g., by caching a font or layout instance in a dict
+    with the prop tup as a key -- see RendererGTK.get_pango_layout in
+    backend_gtk for an example.
+
+  * Text._get_xy_display renamed Text.get_xy_display
+
+  * Artist set_renderer and wash_brushes methods removed
+
+  * Moved Legend class from matplotlib.axes into matplotlib.legend
+
+  * Moved Tick, XTick, YTick, Axis, XAxis, YAxis from matplotlib.axes
+    to matplotlib.axis
+
+  * moved process_text_args to matplotlib.text
+
+  * After getting Text handled in a backend independent fashion, the
+    import process is much cleaner since there are no longer cyclic
+    dependencies
+
+  * matplotlib.matlab._get_current_fig_manager renamed to
+    matplotlib.matlab.get_current_fig_manager to allow user access to
+    the GUI window attribute, e.g., figManager.window for GTK and
+    figManager.frame for wx
diff --git a/doc/api/prev_api_changes/api_changes_0.50.rst b/doc/api/prev_api_changes/api_changes_0.50.rst
new file mode 100644
index 000000000000..bf1b608d2b63
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.50.rst
@@ -0,0 +1,86 @@
+
+Changes for 0.50
+================
+
+.. code-block:: text
+
+  * refactored Figure class so it is no longer backend dependent.
+    FigureCanvasBackend takes over the backend specific duties of the
+    Figure.  matplotlib.backend_bases.FigureBase moved to
+    matplotlib.figure.Figure.
+
+  * backends must implement FigureCanvasBackend (the thing that
+    controls the figure and handles the events if any) and
+    FigureManagerBackend (wraps the canvas and the window for MATLAB
+    interface).  FigureCanvasBase implements a backend switching
+    mechanism
+
+  * Figure is now an Artist (like everything else in the figure) and
+    is totally backend independent
+
+  * GDFONTPATH renamed to TTFPATH
+
+  * backend faceColor argument changed to rgbFace
+
+  * colormap stuff moved to colors.py
+
+  * arg_to_rgb in backend_bases moved to class ColorConverter in
+    colors.py
+
+  * GD users must upgrade to gd-2.0.22 and gdmodule-0.52 since new gd
+    features (clipping, antialiased lines) are now used.
+
+  * Renderer must implement points_to_pixels
+
+  Migrating code:
+
+  MATLAB interface:
+
+    The only API change for those using the MATLAB interface is in how
+    you call figure redraws for dynamically updating figures.  In the
+    old API, you did
+
+      fig.draw()
+
+    In the new API, you do
+
+      manager = get_current_fig_manager()
+      manager.canvas.draw()
+
+    See the examples system_monitor.py, dynamic_demo.py, and anim.py
+
+  API
+
+    There is one important API change for application developers.
+    Figure instances used subclass GUI widgets that enabled them to be
+    placed directly into figures.  e.g., FigureGTK subclassed
+    gtk.DrawingArea.  Now the Figure class is independent of the
+    backend, and FigureCanvas takes over the functionality formerly
+    handled by Figure.  In order to include figures into your apps,
+    you now need to do, for example
+
+      # gtk example
+      fig = Figure(figsize=(5,4), dpi=100)
+      canvas = FigureCanvasGTK(fig)  # a gtk.DrawingArea
+      canvas.show()
+      vbox.pack_start(canvas)
+
+    If you use the NavigationToolbar, this in now initialized with a
+    FigureCanvas, not a Figure.  The examples embedding_in_gtk.py,
+    embedding_in_gtk2.py, and mpl_with_glade.py all reflect the new
+    API so use these as a guide.
+
+    All prior calls to
+
+     figure.draw()  and
+     figure.print_figure(args)
+
+    should now be
+
+     canvas.draw()  and
+     canvas.print_figure(args)
+
+    Apologies for the inconvenience.  This refactorization brings
+    significant more freedom in developing matplotlib and should bring
+    better plotting capabilities, so I hope the inconvenience is worth
+    it.
diff --git a/doc/api/prev_api_changes/api_changes_0.54.3.rst b/doc/api/prev_api_changes/api_changes_0.54.3.rst
new file mode 100644
index 000000000000..0747a0372927
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.54.3.rst
@@ -0,0 +1,10 @@
+
+Changes for 0.54.3
+==================
+
+.. code-block:: text
+
+  removed the set_default_font / get_default_font scheme from the
+  font_manager to unify customization of font defaults with the rest of
+  the rc scheme.  See examples/font_properties_demo.py and help(rc) in
+  matplotlib.matlab.
diff --git a/doc/api/prev_api_changes/api_changes_0.54.rst b/doc/api/prev_api_changes/api_changes_0.54.rst
new file mode 100644
index 000000000000..059c9322157f
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.54.rst
@@ -0,0 +1,211 @@
+
+Changes for 0.54
+================
+
+MATLAB interface
+----------------
+
+dpi
+~~~
+
+Several of the backends used a PIXELS_PER_INCH hack that I added to
+try and make images render consistently across backends.  This just
+complicated matters.  So you may find that some font sizes and line
+widths appear different than before.  Apologies for the
+inconvenience. You should set the dpi to an accurate value for your
+screen to get true sizes.
+
+
+pcolor and scatter
+~~~~~~~~~~~~~~~~~~
+
+There are two changes to the MATLAB interface API, both involving the
+patch drawing commands.  For efficiency, pcolor and scatter have been
+rewritten to use polygon collections, which are a new set of objects
+from matplotlib.collections designed to enable efficient handling of
+large collections of objects.  These new collections make it possible
+to build large scatter plots or pcolor plots with no loops at the
+python level, and are significantly faster than their predecessors.
+The original pcolor and scatter functions are retained as
+pcolor_classic and scatter_classic.
+
+The return value from pcolor is a PolyCollection.  Most of the
+properties that are available on rectangles or other patches are also
+available on PolyCollections, e.g., you can say::
+
+  c = scatter(blah, blah)
+  c.set_linewidth(1.0)
+  c.set_facecolor('r')
+  c.set_alpha(0.5)
+
+or::
+
+  c = scatter(blah, blah)
+  set(c, 'linewidth', 1.0, 'facecolor', 'r', 'alpha', 0.5)
+
+
+Because the collection is a single object, you no longer need to loop
+over the return value of scatter or pcolor to set properties for the
+entire list.
+
+If you want the different elements of a collection to vary on a
+property, e.g., to have different line widths, see matplotlib.collections
+for a discussion on how to set the properties as a sequence.
+
+For scatter, the size argument is now in points^2 (the area of the
+symbol in points) as in MATLAB and is not in data coords as before.
+Using sizes in data coords caused several problems.  So you will need
+to adjust your size arguments accordingly or use scatter_classic.
+
+mathtext spacing
+~~~~~~~~~~~~~~~~
+
+For reasons not clear to me (and which I'll eventually fix) spacing no
+longer works in font groups.  However, I added three new spacing
+commands which compensate for this '\ ' (regular space), '\/' (small
+space) and '\hspace{frac}' where frac is a fraction of fontsize in
+points.  You will need to quote spaces in font strings, is::
+
+  title(r'$\rm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
+
+
+
+Object interface - Application programmers
+------------------------------------------
+
+Autoscaling
+~~~~~~~~~~~
+
+The x and y axis instances no longer have autoscale view.  These are
+handled by axes.autoscale_view
+
+Axes creation
+~~~~~~~~~~~~~
+
+You should not instantiate your own Axes any more using the OO API.
+Rather, create a Figure as before and in place of::
+
+    f = Figure(figsize=(5,4), dpi=100)
+    a = Subplot(f, 111)
+    f.add_axis(a)
+
+use::
+
+    f = Figure(figsize=(5,4), dpi=100)
+    a = f.add_subplot(111)
+
+That is, add_axis no longer exists and is replaced by::
+
+    add_axes(rect, axisbg=defaultcolor, frameon=True)
+    add_subplot(num, axisbg=defaultcolor, frameon=True)
+
+Artist methods
+~~~~~~~~~~~~~~
+
+If you define your own Artists, you need to rename the _draw method
+to draw
+
+Bounding boxes
+~~~~~~~~~~~~~~
+
+matplotlib.transforms.Bound2D is replaced by
+matplotlib.transforms.Bbox.  If you want to construct a bbox from
+left, bottom, width, height (the signature for Bound2D), use
+matplotlib.transforms.lbwh_to_bbox, as in::
+
+    bbox = clickBBox = lbwh_to_bbox(left, bottom, width, height)
+
+The Bbox has a different API than the Bound2D.  e.g., if you want to
+get the width and height of the bbox
+
+**OLD**::
+
+     width  = fig.bbox.x.interval()
+     height = fig.bbox.y.interval()
+
+**NEW**::
+
+     width  = fig.bbox.width()
+     height = fig.bbox.height()
+
+
+Object constructors
+~~~~~~~~~~~~~~~~~~~
+
+You no longer pass the bbox, dpi, or transforms to the various
+Artist constructors.  The old way or creating lines and rectangles
+was cumbersome because you had to pass so many attributes to the
+Line2D and Rectangle classes not related directly to the geometry
+and properties of the object.  Now default values are added to the
+object when you call axes.add_line or axes.add_patch, so they are
+hidden from the user.
+
+If you want to define a custom transformation on these objects, call
+o.set_transform(trans) where trans is a Transformation instance.
+
+In prior versions of you wanted to add a custom line in data coords,
+you would have to do::
+
+    l = Line2D(dpi, bbox, x, y,
+               color = color,
+               transx = transx,
+               transy = transy,
+               )
+
+now all you need is::
+
+    l = Line2D(x, y, color=color)
+
+and the axes will set the transformation for you (unless you have
+set your own already, in which case it will eave it unchanged)
+
+Transformations
+~~~~~~~~~~~~~~~
+
+The entire transformation architecture has been rewritten.
+Previously the x and y transformations where stored in the xaxis and
+yaxis instances.  The problem with this approach is it only allows
+for separable transforms (where the x and y transformations don't
+depend on one another).  But for cases like polar, they do.  Now
+transformations operate on x,y together.  There is a new base class
+matplotlib.transforms.Transformation and two concrete
+implementations, matplotlib.transforms.SeparableTransformation and
+matplotlib.transforms.Affine.  The SeparableTransformation is
+constructed with the bounding box of the input (this determines the
+rectangular coordinate system of the input, i.e., the x and y view
+limits), the bounding box of the display, and possibly nonlinear
+transformations of x and y.  The 2 most frequently used
+transformations, data coordinates -> display and axes coordinates ->
+display are available as ax.transData and ax.transAxes.  See
+alignment_demo.py which uses axes coords.
+
+Also, the transformations should be much faster now, for two reasons
+
+* they are written entirely in extension code
+
+* because they operate on x and y together, they can do the entire
+  transformation in one loop.  Earlier I did something along the
+  lines of::
+
+    xt = sx*func(x) + tx
+    yt = sy*func(y) + ty
+
+  Although this was done in numerix, it still involves 6 length(x)
+  for-loops (the multiply, add, and function evaluation each for x
+  and y).  Now all of that is done in a single pass.
+
+If you are using transformations and bounding boxes to get the
+cursor position in data coordinates, the method calls are a little
+different now.  See the updated examples/coords_demo.py which shows
+you how to do this.
+
+Likewise, if you are using the artist bounding boxes to pick items
+on the canvas with the GUI, the bbox methods are somewhat
+different.  You will need to see the updated
+examples/object_picker.py.
+
+See unit/transforms_unit.py for many examples using the new
+transformations.
+
+
+.. highlight:: none
diff --git a/doc/api/prev_api_changes/api_changes_0.60.rst b/doc/api/prev_api_changes/api_changes_0.60.rst
new file mode 100644
index 000000000000..d27c5ae1848b
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.60.rst
@@ -0,0 +1,15 @@
+Changes for 0.60
+================
+
+.. code-block:: text
+
+  ColormapJet and Grayscale are deprecated.  For backwards
+  compatibility, they can be obtained either by doing
+
+    from matplotlib.cm import ColormapJet
+
+  or
+
+    from matplotlib.matlab import *
+
+  They are replaced by cm.jet and cm.grey
diff --git a/doc/api/prev_api_changes/api_changes_0.61.rst b/doc/api/prev_api_changes/api_changes_0.61.rst
new file mode 100644
index 000000000000..570c8d1d22e4
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.61.rst
@@ -0,0 +1,8 @@
+Changes for 0.61
+================
+
+.. code-block:: text
+
+  canvas.connect is now deprecated for event handling.  use
+  mpl_connect and mpl_disconnect instead.  The callback signature is
+  func(event) rather than func(widget, event)
diff --git a/doc/api/prev_api_changes/api_changes_0.63.rst b/doc/api/prev_api_changes/api_changes_0.63.rst
new file mode 100644
index 000000000000..bb896ad55207
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.63.rst
@@ -0,0 +1,43 @@
+Changes for 0.63
+================
+
+.. code-block:: text
+
+  Dates are now represented internally as float days since 0001-01-01,
+  UTC.
+
+  All date tickers and formatters are now in matplotlib.dates, rather
+  than matplotlib.tickers
+
+  converters have been abolished from all functions and classes.
+  num2date and date2num are now the converter functions for all date
+  plots
+
+  Most of the date tick locators have a different meaning in their
+  constructors.  In the prior implementation, the first argument was a
+  base and multiples of the base were ticked.  e.g.,
+
+    HourLocator(5)  # old: tick every 5 minutes
+
+  In the new implementation, the explicit points you want to tick are
+  provided as a number or sequence
+
+     HourLocator(range(0,5,61))  # new: tick every 5 minutes
+
+  This gives much greater flexibility.  I have tried to make the
+  default constructors (no args) behave similarly, where possible.
+
+  Note that YearLocator still works under the base/multiple scheme.
+  The difference between the YearLocator and the other locators is
+  that years are not recurrent.
+
+
+  Financial functions:
+
+    matplotlib.finance.quotes_historical_yahoo(ticker, date1, date2)
+
+     date1, date2 are now datetime instances.  Return value is a list
+     of quotes where the quote time is a float - days since gregorian
+     start, as returned by date2num
+
+     See examples/finance_demo.py for example usage of new API
diff --git a/doc/api/prev_api_changes/api_changes_0.65.1.rst b/doc/api/prev_api_changes/api_changes_0.65.1.rst
new file mode 100644
index 000000000000..fb75baaa6acb
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.65.1.rst
@@ -0,0 +1,10 @@
+Changes for 0.65.1
+==================
+
+.. code-block:: text
+
+  removed add_axes and add_subplot from backend_bases.  Use
+  figure.add_axes and add_subplot instead.  The figure now manages the
+  current axes with gca and sca for get and set current axes.  If you
+  have code you are porting which called, e.g., figmanager.add_axes, you
+  can now simply do figmanager.canvas.figure.add_axes.
diff --git a/doc/api/prev_api_changes/api_changes_0.65.rst b/doc/api/prev_api_changes/api_changes_0.65.rst
new file mode 100644
index 000000000000..f9b9af732010
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.65.rst
@@ -0,0 +1,12 @@
+Changes for 0.65
+================
+
+.. code-block:: text
+
+
+  mpl_connect and mpl_disconnect in the MATLAB interface renamed to
+  connect and disconnect
+
+  Did away with the text methods for angle since they were ambiguous.
+  fontangle could mean fontstyle (oblique, etc) or the rotation of the
+  text.  Use style and rotation instead.
diff --git a/doc/api/prev_api_changes/api_changes_0.70.rst b/doc/api/prev_api_changes/api_changes_0.70.rst
new file mode 100644
index 000000000000..e30dfbb64954
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.70.rst
@@ -0,0 +1,9 @@
+Changes for 0.70
+================
+
+.. code-block:: text
+
+   MplEvent factored into a base class Event and derived classes
+   MouseEvent and KeyEvent
+
+   Removed defunct set_measurement in wx toolbar
diff --git a/doc/api/prev_api_changes/api_changes_0.71.rst b/doc/api/prev_api_changes/api_changes_0.71.rst
new file mode 100644
index 000000000000..d10a7439e672
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.71.rst
@@ -0,0 +1,41 @@
+Changes for 0.71
+================
+
+.. code-block:: text
+
+   Significant numerix namespace changes, introduced to resolve
+   namespace clashes between python built-ins and mlab names.
+   Refactored numerix to maintain separate modules, rather than
+   folding all these names into a single namespace.  See the following
+   mailing list threads for more information and background
+
+     http://sourceforge.net/mailarchive/forum.php?thread_id=6398890&forum_id=36187
+     http://sourceforge.net/mailarchive/forum.php?thread_id=6323208&forum_id=36187
+
+
+   OLD usage
+
+     from matplotlib.numerix import array, mean, fft
+
+   NEW usage
+
+     from matplotlib.numerix import array
+     from matplotlib.numerix.mlab import mean
+     from matplotlib.numerix.fft import fft
+
+   numerix dir structure mirrors numarray (though it is an incomplete
+   implementation)
+
+     numerix
+     numerix/mlab
+     numerix/linear_algebra
+     numerix/fft
+     numerix/random_array
+
+   but of course you can use 'numerix : Numeric' and still get the
+   symbols.
+
+   pylab still imports most of the symbols from Numerix, MLab, fft,
+   etc, but is more cautious.  For names that clash with python names
+   (min, max, sum), pylab keeps the builtins and provides the numeric
+   versions with an a* prefix, e.g., (amin, amax, asum)
diff --git a/doc/api/prev_api_changes/api_changes_0.72.rst b/doc/api/prev_api_changes/api_changes_0.72.rst
new file mode 100644
index 000000000000..bfb6fc124658
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.72.rst
@@ -0,0 +1,33 @@
+Changes for 0.72
+================
+
+.. code-block:: text
+
+  - Line2D, Text, and Patch copy_properties renamed update_from and
+    moved into artist base class
+
+  - LineCollections.color renamed to LineCollections.set_color for
+    consistency with set/get introspection mechanism,
+
+  - pylab figure now defaults to num=None, which creates a new figure
+    with a guaranteed unique number
+
+  - contour method syntax changed - now it is MATLAB compatible
+
+      unchanged: contour(Z)
+      old: contour(Z, x=Y, y=Y)
+      new: contour(X, Y, Z)
+
+    see http://matplotlib.sf.net/matplotlib.pylab.html#-contour
+
+
+   - Increased the default resolution for save command.
+
+   - Renamed the base attribute of the ticker classes to _base to avoid conflict
+     with the base method.  Sitt for subs
+
+   - subs=none now does autosubbing in the tick locator.
+
+   - New subplots that overlap old will delete the old axes.  If you
+     do not want this behavior, use fig.add_subplot or the axes
+     command
diff --git a/doc/api/prev_api_changes/api_changes_0.73.rst b/doc/api/prev_api_changes/api_changes_0.73.rst
new file mode 100644
index 000000000000..ec7c4e34c6ef
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.73.rst
@@ -0,0 +1,10 @@
+Changes for 0.73
+================
+
+.. code-block:: text
+
+  - Removed deprecated ColormapJet and friends
+
+  - Removed all error handling from the verbose object
+
+  - figure num of zero is now allowed
diff --git a/doc/api/prev_api_changes/api_changes_0.80.rst b/doc/api/prev_api_changes/api_changes_0.80.rst
new file mode 100644
index 000000000000..1c118fd21aca
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.80.rst
@@ -0,0 +1,9 @@
+Changes for 0.80
+================
+
+.. code-block:: text
+
+  - xlim/ylim/axis always return the new limits regardless of
+    arguments.  They now take kwargs which allow you to selectively
+    change the upper or lower limits while leaving unnamed limits
+    unchanged.  See help(xlim) for example
diff --git a/doc/api/prev_api_changes/api_changes_0.81.rst b/doc/api/prev_api_changes/api_changes_0.81.rst
new file mode 100644
index 000000000000..f571d5dbae2c
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.81.rst
@@ -0,0 +1,49 @@
+Changes for 0.81
+================
+
+.. code-block:: text
+
+  - pylab and artist "set" functions renamed to setp to avoid clash
+    with python2.4 built-in set.  Current version will issue a
+    deprecation warning which will be removed in future versions
+
+  - imshow interpolation arguments changes for advanced interpolation
+    schemes.  See help imshow, particularly the interpolation,
+    filternorm and filterrad kwargs
+
+  - Support for masked arrays has been added to the plot command and
+    to the Line2D object.  Only the valid points are plotted.  A
+    "valid_only" kwarg was added to the get_xdata() and get_ydata()
+    methods of Line2D; by default it is False, so that the original
+    data arrays are returned. Setting it to True returns the plottable
+    points.
+
+  - contour changes:
+
+    Masked arrays: contour and contourf now accept masked arrays as
+      the variable to be contoured.  Masking works correctly for
+      contour, but a bug remains to be fixed before it will work for
+      contourf.  The "badmask" kwarg has been removed from both
+      functions.
+
+     Level argument changes:
+
+       Old version: a list of levels as one of the positional
+       arguments specified the lower bound of each filled region; the
+       upper bound of the last region was taken as a very large
+       number.  Hence, it was not possible to specify that z values
+       between 0 and 1, for example, be filled, and that values
+       outside that range remain unfilled.
+
+       New version: a list of N levels is taken as specifying the
+       boundaries of N-1 z ranges.  Now the user has more control over
+       what is colored and what is not.  Repeated calls to contourf
+       (with different colormaps or color specifications, for example)
+       can be used to color different ranges of z.  Values of z
+       outside an expected range are left uncolored.
+
+       Example:
+         Old: contourf(z, [0, 1, 2]) would yield 3 regions: 0-1, 1-2, and >2.
+         New: it would yield 2 regions: 0-1, 1-2.  If the same 3 regions were
+         desired, the equivalent list of levels would be [0, 1, 2,
+         1e38].
diff --git a/doc/api/prev_api_changes/api_changes_0.82.rst b/doc/api/prev_api_changes/api_changes_0.82.rst
new file mode 100644
index 000000000000..31a90fca52d4
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.82.rst
@@ -0,0 +1,52 @@
+Changes for 0.82
+================
+
+.. code-block:: text
+
+  - toolbar import change in GTKAgg, GTKCairo and WXAgg
+
+  - Added subplot config tool to GTK* backends -- note you must now
+    import the NavigationToolbar2 from your backend of choice rather
+    than from backend_gtk because it needs to know about the backend
+    specific canvas -- see examples/embedding_in_gtk2.py.  Ditto for
+    wx backend -- see examples/embedding_in_wxagg.py
+
+
+  - hist bin change
+
+      Sean Richards notes there was a problem in the way we created
+      the binning for histogram, which made the last bin
+      underrepresented.  From his post:
+
+        I see that hist uses the linspace function to create the bins
+        and then uses searchsorted to put the values in their correct
+        bin. That's all good but I am confused over the use of linspace
+        for the bin creation. I wouldn't have thought that it does
+        what is needed, to quote the docstring it creates a "Linear
+        spaced array from min to max". For it to work correctly
+        shouldn't the values in the bins array be the same bound for
+        each bin? (i.e. each value should be the lower bound of a
+        bin). To provide the correct bins for hist would it not be
+        something like
+
+        def bins(xmin, xmax, N):
+          if N==1: return xmax
+          dx = (xmax-xmin)/N # instead of N-1
+          return xmin + dx*arange(N)
+
+
+       This suggestion is implemented in 0.81.  My test script with these
+       changes does not reveal any bias in the binning
+
+        from matplotlib.numerix.mlab import randn, rand, zeros, Float
+        from matplotlib.mlab import hist, mean
+
+        Nbins = 50
+        Ntests = 200
+        results = zeros((Ntests,Nbins), typecode=Float)
+        for i in range(Ntests):
+            print 'computing', i
+            x = rand(10000)
+            n, bins = hist(x, Nbins)
+            results[i] = n
+        print mean(results)
diff --git a/doc/api/prev_api_changes/api_changes_0.83.rst b/doc/api/prev_api_changes/api_changes_0.83.rst
new file mode 100644
index 000000000000..267951c18aee
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.83.rst
@@ -0,0 +1,24 @@
+Changes for 0.83
+================
+
+.. code-block:: text
+
+  - Made HOME/.matplotlib the new config dir where the matplotlibrc
+    file, the ttf.cache, and the tex.cache live.  The new default
+    filenames in .matplotlib have no leading dot and are not hidden.
+    e.g., the new names are matplotlibrc, tex.cache, and ttffont.cache.
+    This is how ipython does it so it must be right.
+
+    If old files are found, a warning is issued and they are moved to
+    the new location.
+
+  - backends/__init__.py no longer imports new_figure_manager,
+    draw_if_interactive and show from the default backend, but puts
+    these imports into a call to pylab_setup.  Also, the Toolbar is no
+    longer imported from WX/WXAgg.  New usage:
+
+      from backends import pylab_setup
+      new_figure_manager, draw_if_interactive, show = pylab_setup()
+
+  - Moved Figure.get_width_height() to FigureCanvasBase. It now
+    returns int instead of float.
diff --git a/doc/api/prev_api_changes/api_changes_0.84.rst b/doc/api/prev_api_changes/api_changes_0.84.rst
new file mode 100644
index 000000000000..7dabe214e3cc
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.84.rst
@@ -0,0 +1,18 @@
+Changes for 0.84
+================
+
+.. code-block:: text
+
+    Unified argument handling between hlines and vlines.  Both now
+    take optionally a fmt argument (as in plot) and a keyword args
+    that can be passed onto Line2D.
+
+    Removed all references to "data clipping" in rc and lines.py since
+    these were not used and not optimized.  I'm sure they'll be
+    resurrected later with a better implementation when needed.
+
+    'set' removed - no more deprecation warnings.  Use 'setp' instead.
+
+    Backend developers: Added flipud method to image and removed it
+    from to_str.  Removed origin kwarg from backend.draw_image.
+    origin is handled entirely by the frontend now.
diff --git a/doc/api/prev_api_changes/api_changes_0.85.rst b/doc/api/prev_api_changes/api_changes_0.85.rst
new file mode 100644
index 000000000000..29f646e0e9d8
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.85.rst
@@ -0,0 +1,43 @@
+Changes for 0.85
+================
+
+.. code-block:: text
+
+    Made xtick and ytick separate props in rc
+
+    made pos=None the default for tick formatters rather than 0 to
+    indicate "not supplied"
+
+    Removed "feature" of minor ticks which prevents them from
+    overlapping major ticks.  Often you want major and minor ticks at
+    the same place, and can offset the major ticks with the pad.  This
+    could be made configurable
+
+    Changed the internal structure of contour.py to a more OO style.
+    Calls to contour or contourf in axes.py or pylab.py now return
+    a ContourSet object which contains references to the
+    LineCollections or PolyCollections created by the call,
+    as well as the configuration variables that were used.
+    The ContourSet object is a "mappable" if a colormap was used.
+
+    Added a clip_ends kwarg to contourf. From the docstring:
+             * clip_ends = True
+               If False, the limits for color scaling are set to the
+               minimum and maximum contour levels.
+               True (default) clips the scaling limits.  Example:
+               if the contour boundaries are V = [-100, 2, 1, 0, 1, 2, 100],
+               then the scaling limits will be [-100, 100] if clip_ends
+               is False, and [-3, 3] if clip_ends is True.
+    Added kwargs linewidths, antialiased, and nchunk to contourf.  These
+    are experimental; see the docstring.
+
+    Changed Figure.colorbar():
+        kw argument order changed;
+        if mappable arg is a non-filled ContourSet, colorbar() shows
+                lines instead hof polygons.
+        if mappable arg is a filled ContourSet with clip_ends=True,
+                the endpoints are not labelled, so as to give the
+                correct impression of open-endedness.
+
+    Changed LineCollection.get_linewidths to get_linewidth, for
+    consistency.
diff --git a/doc/api/prev_api_changes/api_changes_0.86.rst b/doc/api/prev_api_changes/api_changes_0.86.rst
new file mode 100644
index 000000000000..5e0c813347b2
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.86.rst
@@ -0,0 +1,28 @@
+Changes for 0.86
+================
+
+.. code-block:: text
+
+     Matplotlib data is installed into the matplotlib module.
+     This is similar to package_data.  This should get rid of
+     having to check for many possibilities in _get_data_path().
+     The MATPLOTLIBDATA env key is still checked first to allow
+     for flexibility.
+
+     1) Separated the color table data from cm.py out into
+     a new file, _cm.py, to make it easier to find the actual
+     code in cm.py and to add new colormaps. Everything
+     from _cm.py is imported by cm.py, so the split should be
+     transparent.
+     2) Enabled automatic generation of a colormap from
+     a list of colors in contour; see modified
+     examples/contour_demo.py.
+     3) Support for imshow of a masked array, with the
+     ability to specify colors (or no color at all) for
+     masked regions, and for regions that are above or
+     below the normally mapped region.  See
+     examples/image_masked.py.
+     4) In support of the above, added two new classes,
+     ListedColormap, and no_norm, to colors.py, and modified
+     the Colormap class to include common functionality. Added
+     a clip kwarg to the normalize class.
diff --git a/doc/api/prev_api_changes/api_changes_0.87.7.rst b/doc/api/prev_api_changes/api_changes_0.87.7.rst
new file mode 100644
index 000000000000..c3538c6f7432
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.87.7.rst
@@ -0,0 +1,89 @@
+
+
+Changes for 0.87.7
+==================
+
+.. code-block:: text
+
+    Completely reworked the annotations API because I found the old
+    API cumbersome.  The new design is much more legible and easy to
+    read.  See matplotlib.text.Annotation and
+    examples/annotation_demo.py
+
+    markeredgecolor and markerfacecolor cannot be configured in
+    matplotlibrc any more. Instead, markers are generally colored
+    automatically based on the color of the line, unless marker colors
+    are explicitly set as kwargs - NN
+
+    Changed default comment character for load to '#' - JDH
+
+    math_parse_s_ft2font_svg from mathtext.py & mathtext2.py now returns
+    width, height, svg_elements. svg_elements is an instance of Bunch (
+    cmbook.py) and has the attributes svg_glyphs and svg_lines, which are both
+    lists.
+
+    Renderer.draw_arc now takes an additional parameter, rotation.
+    It specifies to draw the artist rotated in degrees anti-
+    clockwise.  It was added for rotated ellipses.
+
+    Renamed Figure.set_figsize_inches to Figure.set_size_inches to
+    better match the get method, Figure.get_size_inches.
+
+    Removed the copy_bbox_transform from transforms.py; added
+    shallowcopy methods to all transforms.  All transforms already
+    had deepcopy methods.
+
+    FigureManager.resize(width, height): resize the window
+    specified in pixels
+
+    barh: x and y args have been renamed to width and bottom
+    respectively, and their order has been swapped to maintain
+    a (position, value) order.
+
+    bar and barh: now accept kwarg 'edgecolor'.
+
+    bar and barh: The left, height, width and bottom args can
+    now all be scalars or sequences; see docstring.
+
+    barh: now defaults to edge aligned instead of center
+    aligned bars
+
+    bar, barh and hist: Added a keyword arg 'align' that
+    controls between edge or center bar alignment.
+
+    Collections: PolyCollection and LineCollection now accept
+    vertices or segments either in the original form [(x,y),
+    (x,y), ...] or as a 2D numerix array, with X as the first column
+    and Y as the second. Contour and quiver output the numerix
+    form.  The transforms methods Bbox.update() and
+    Transformation.seq_xy_tups() now accept either form.
+
+    Collections: LineCollection is now a ScalarMappable like
+    PolyCollection, etc.
+
+    Specifying a grayscale color as a float is deprecated; use
+    a string instead, e.g., 0.75 -> '0.75'.
+
+    Collections: initializers now accept any mpl color arg, or
+    sequence of such args; previously only a sequence of rgba
+    tuples was accepted.
+
+    Colorbar: completely new version and api; see docstring.  The
+    original version is still accessible as colorbar_classic, but
+    is deprecated.
+
+    Contourf: "extend" kwarg replaces "clip_ends"; see docstring.
+    Masked array support added to pcolormesh.
+
+    Modified aspect-ratio handling:
+        Removed aspect kwarg from imshow
+        Axes methods:
+            set_aspect(self, aspect, adjustable=None, anchor=None)
+            set_adjustable(self, adjustable)
+            set_anchor(self, anchor)
+        Pylab interface:
+            axis('image')
+
+     Backend developers: ft2font's load_char now takes a flags
+     argument, which you can OR together from the LOAD_XXX
+     constants.
diff --git a/doc/api/prev_api_changes/api_changes_0.90.0.rst b/doc/api/prev_api_changes/api_changes_0.90.0.rst
new file mode 100644
index 000000000000..7bbdfc06c760
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.90.0.rst
@@ -0,0 +1,40 @@
+Changes for 0.90.0
+==================
+
+.. code-block:: text
+
+    All artists now implement a "pick" method which users should not
+    call.  Rather, set the "picker" property of any artist you want to
+    pick on (the epsilon distance in points for a hit test) and
+    register with the "pick_event" callback.  See
+    examples/pick_event_demo.py for details
+
+    Bar, barh, and hist have "log" binary kwarg: log=True
+    sets the ordinate to a log scale.
+
+    Boxplot can handle a list of vectors instead of just
+    an array, so vectors can have different lengths.
+
+    Plot can handle 2-D x and/or y; it plots the columns.
+
+    Added linewidth kwarg to bar and barh.
+
+    Made the default Artist._transform None (rather than invoking
+    identity_transform for each artist only to have it overridden
+    later).  Use artist.get_transform() rather than artist._transform,
+    even in derived classes, so that the default transform will be
+    created lazily as needed
+
+    New LogNorm subclass of Normalize added to colors.py.
+    All Normalize subclasses have new inverse() method, and
+    the __call__() method has a new clip kwarg.
+
+    Changed class names in colors.py to match convention:
+    normalize -> Normalize, no_norm -> NoNorm.  Old names
+    are still available for now.
+
+    Removed obsolete pcolor_classic command and method.
+
+    Removed lineprops and markerprops from the Annotation code and
+    replaced them with an arrow configurable with kwarg arrowprops.
+    See examples/annotation_demo.py - JDH
diff --git a/doc/api/prev_api_changes/api_changes_0.90.1.rst b/doc/api/prev_api_changes/api_changes_0.90.1.rst
new file mode 100644
index 000000000000..89311d4ed102
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.90.1.rst
@@ -0,0 +1,65 @@
+
+Changes for 0.90.1
+==================
+
+.. code-block:: text
+
+    The file dviread.py has a (very limited and fragile) dvi reader
+    for usetex support. The API might change in the future so don't
+    depend on it yet.
+
+    Removed deprecated support for a float value as a gray-scale;
+    now it must be a string, like '0.5'.  Added alpha kwarg to
+    ColorConverter.to_rgba_list.
+
+    New method set_bounds(vmin, vmax) for formatters, locators sets
+    the viewInterval and dataInterval from floats.
+
+    Removed deprecated colorbar_classic.
+
+    Line2D.get_xdata and get_ydata valid_only=False kwarg is replaced
+    by orig=True.  When True, it returns the original data, otherwise
+    the processed data (masked, converted)
+
+    Some modifications to the units interface.
+    units.ConversionInterface.tickers renamed to
+    units.ConversionInterface.axisinfo and it now returns a
+    units.AxisInfo object rather than a tuple.  This will make it
+    easier to add axis info functionality (e.g., I added a default label
+    on this iteration) w/o having to change the tuple length and hence
+    the API of the client code every time new functionality is added.
+    Also, units.ConversionInterface.convert_to_value is now simply
+    named units.ConversionInterface.convert.
+
+    Axes.errorbar uses Axes.vlines and Axes.hlines to draw its error
+    limits int he vertical and horizontal direction.  As you'll see
+    in the changes below, these functions now return a LineCollection
+    rather than a list of lines.  The new return signature for
+    errorbar is  ylins, caplines, errorcollections where
+    errorcollections is a xerrcollection, yerrcollection
+
+    Axes.vlines and Axes.hlines now create and returns a LineCollection, not a list
+    of lines.  This is much faster.  The kwarg signature has changed,
+    so consult the docs
+
+    MaxNLocator accepts a new Boolean kwarg ('integer') to force
+    ticks to integer locations.
+
+    Commands that pass an argument to the Text constructor or to
+    Text.set_text() now accept any object that can be converted
+    with '%s'.  This affects xlabel(), title(), etc.
+
+    Barh now takes a **kwargs dict instead of most of the old
+    arguments. This helps ensure that bar and barh are kept in sync,
+    but as a side effect you can no longer pass e.g., color as a
+    positional argument.
+
+    ft2font.get_charmap() now returns a dict that maps character codes
+    to glyph indices (until now it was reversed)
+
+    Moved data files into lib/matplotlib so that setuptools' develop
+    mode works. Re-organized the mpl-data layout so that this source
+    structure is maintained in the installation. (i.e., the 'fonts' and
+    'images' sub-directories are maintained in site-packages.).
+    Suggest removing site-packages/matplotlib/mpl-data and
+    ~/.matplotlib/ttffont.cache before installing
diff --git a/doc/api/prev_api_changes/api_changes_0.91.0.rst b/doc/api/prev_api_changes/api_changes_0.91.0.rst
new file mode 100644
index 000000000000..32760554522a
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.91.0.rst
@@ -0,0 +1,69 @@
+
+Changes for 0.91.0
+==================
+
+* Changed ``cbook.is_file_like`` to ``cbook.is_writable_file_like`` and
+  corrected behavior.
+
+* Added *ax* keyword argument to :func:`.pyplot.colorbar` and
+  :meth:`.Figure.colorbar` so that one can specify the axes object from
+  which space for the colorbar is to be taken, if one does not want to
+  make the colorbar axes manually.
+
+* Changed ``cbook.reversed`` so it yields a tuple rather than a (index, tuple).
+  This agrees with the Python reversed builtin, and cbook only defines reversed
+  if Python doesn't provide the builtin.
+
+* Made skiprows=1 the default on ``csv2rec``
+
+* The gd and paint backends have been deleted.
+
+* The errorbar method and function now accept additional kwargs
+  so that upper and lower limits can be indicated by capping the
+  bar with a caret instead of a straight line segment.
+
+* The :mod:`matplotlib.dviread` file now has a parser for files like
+  psfonts.map and pdftex.map, to map TeX font names to external files.
+
+* The file ``matplotlib.type1font`` contains a new class for Type 1
+  fonts.  Currently it simply reads pfa and pfb format files and
+  stores the data in a way that is suitable for embedding in pdf
+  files. In the future the class might actually parse the font to
+  allow e.g.,  subsetting.
+
+* ``matplotlib.ft2font`` now supports ``FT_Attach_File``. In
+  practice this can be used to read an afm file in addition to a
+  pfa/pfb file, to get metrics and kerning information for a Type 1
+  font.
+
+* The ``AFM`` class now supports querying CapHeight and stem
+  widths. The get_name_char method now has an isord kwarg like
+  get_width_char.
+
+* Changed :func:`.pcolor` default to ``shading='flat'``; but as noted now in
+  the docstring, it is preferable to simply use the *edgecolor* keyword
+  argument.
+
+* The mathtext font commands (``\cal``, ``\rm``, ``\it``, ``\tt``) now
+  behave as TeX does: they are in effect until the next font change
+  command or the end of the grouping.  Therefore uses of ``$\cal{R}$``
+  should be changed to ``${\cal R}$``.  Alternatively, you may use the
+  new LaTeX-style font commands (``\mathcal``, ``\mathrm``,
+  ``\mathit``, ``\mathtt``) which do affect the following group,
+  e.g., ``$\mathcal{R}$``.
+
+* Text creation commands have a new default linespacing and a new
+  ``linespacing`` kwarg, which is a multiple of the maximum vertical
+  extent of a line of ordinary text.  The default is 1.2;
+  ``linespacing=2`` would be like ordinary double spacing, for example.
+
+* Changed default kwarg in `matplotlib.colors.Normalize` to ``clip=False``;
+  clipping silently defeats the purpose of the special over, under,
+  and bad values in the colormap, thereby leading to unexpected
+  behavior.  The new default should reduce such surprises.
+
+* Made the emit property of :meth:`~matplotlib.axes.Axes.set_xlim` and
+  :meth:`~matplotlib.axes.Axes.set_ylim` ``True`` by default; removed
+  the Axes custom callback handling into a 'callbacks' attribute which
+  is a :class:`~matplotlib.cbook.CallbackRegistry` instance.  This now
+  supports the 'xlim_changed' and 'ylim_changed' Axes events.
diff --git a/doc/api/prev_api_changes/api_changes_0.91.2.rst b/doc/api/prev_api_changes/api_changes_0.91.2.rst
new file mode 100644
index 000000000000..5abf2ec3be77
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.91.2.rst
@@ -0,0 +1,16 @@
+
+Changes for 0.91.2
+==================
+
+* For ``csv2rec``, checkrows=0 is the new default indicating all rows
+  will be checked for type inference
+
+* A warning is issued when an image is drawn on log-scaled axes, since
+  it will not log-scale the image data.
+
+* Moved ``rec2gtk`` to ``matplotlib.toolkits.gtktools``
+
+* Moved ``rec2excel`` to ``matplotlib.toolkits.exceltools``
+
+* Removed, dead/experimental ExampleInfo, Namespace and Importer
+  code from :mod:`matplotlib`
diff --git a/doc/api/prev_api_changes/api_changes_0.98.0.rst b/doc/api/prev_api_changes/api_changes_0.98.0.rst
new file mode 100644
index 000000000000..7a1ebf56fcde
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.98.0.rst
@@ -0,0 +1,314 @@
+
+
+Changes for 0.98.0
+==================
+
+* :func:`matplotlib.image.imread` now no longer always returns RGBA data---if
+  the image is luminance or RGB, it will return a MxN or MxNx3 array
+  if possible.  Also uint8 is no longer always forced to float.
+
+* Rewrote the :class:`matplotlib.cm.ScalarMappable` callback
+  infrastructure to use :class:`matplotlib.cbook.CallbackRegistry`
+  rather than custom callback handling.  Any users of
+  ``matplotlib.cm.ScalarMappable.add_observer`` of the
+  :class:`~matplotlib.cm.ScalarMappable` should use the
+  ``matplotlib.cm.ScalarMappable.callbacksSM``
+  :class:`~matplotlib.cbook.CallbackRegistry` instead.
+
+* New axes function and Axes method provide control over the plot
+  color cycle: ``matplotlib.axes.set_default_color_cycle`` and
+  ``matplotlib.axes.Axes.set_color_cycle``.
+
+* Matplotlib now requires Python 2.4, so :mod:`matplotlib.cbook` will
+  no longer provide :class:`set`, :func:`enumerate`, :func:`reversed`
+  or ``izip`` compatibility functions.
+
+* In Numpy 1.0, bins are specified by the left edges only.  The axes
+  method :meth:`matplotlib.axes.Axes.hist` now uses future Numpy 1.3
+  semantics for histograms.  Providing ``binedges``, the last value gives
+  the upper-right edge now, which was implicitly set to +infinity in
+  Numpy 1.0.  This also means that the last bin doesn't contain upper
+  outliers any more by default.
+
+* New axes method and pyplot function,
+  :func:`~matplotlib.pyplot.hexbin`, is an alternative to
+  :func:`~matplotlib.pyplot.scatter` for large datasets.  It makes
+  something like a :func:`~matplotlib.pyplot.pcolor` of a 2-D
+  histogram, but uses hexagonal bins.
+
+* New kwarg, ``symmetric``, in :class:`matplotlib.ticker.MaxNLocator`
+  allows one require an axis to be centered around zero.
+
+* Toolkits must now be imported from ``mpl_toolkits`` (not ``matplotlib.toolkits``)
+
+Notes about the transforms refactoring
+--------------------------------------
+
+A major new feature of the 0.98 series is a more flexible and
+extensible transformation infrastructure, written in Python/Numpy
+rather than a custom C extension.
+
+The primary goal of this refactoring was to make it easier to
+extend matplotlib to support new kinds of projections.  This is
+mostly an internal improvement, and the possible user-visible
+changes it allows are yet to come.
+
+See :mod:`matplotlib.transforms` for a description of the design of
+the new transformation framework.
+
+For efficiency, many of these functions return views into Numpy
+arrays.  This means that if you hold on to a reference to them,
+their contents may change.  If you want to store a snapshot of
+their current values, use the Numpy array method copy().
+
+The view intervals are now stored only in one place -- in the
+:class:`matplotlib.axes.Axes` instance, not in the locator instances
+as well.  This means locators must get their limits from their
+:class:`matplotlib.axis.Axis`, which in turn looks up its limits from
+the :class:`~matplotlib.axes.Axes`.  If a locator is used temporarily
+and not assigned to an Axis or Axes, (e.g., in
+:mod:`matplotlib.contour`), a dummy axis must be created to store its
+bounds.  Call :meth:`matplotlib.ticker.TickHelper.create_dummy_axis` to
+do so.
+
+The functionality of ``Pbox`` has been merged with
+:class:`~matplotlib.transforms.Bbox`.  Its methods now all return
+copies rather than modifying in place.
+
+The following lists many of the simple changes necessary to update
+code from the old transformation framework to the new one.  In
+particular, methods that return a copy are named with a verb in the
+past tense, whereas methods that alter an object in place are named
+with a verb in the present tense.
+
+:mod:`matplotlib.transforms`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
++--------------------------------------------+------------------------------------------------------+
+| Old method                                 | New method                                           |
++============================================+======================================================+
+| ``Bbox.get_bounds``                        | :attr:`.transforms.Bbox.bounds`                      |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.width``                             | :attr:`transforms.Bbox.width                         |
+|                                            | <.transforms.BboxBase.width>`                        |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.height``                            | :attr:`transforms.Bbox.height                        |
+|                                            | <.transforms.BboxBase.height>`                       |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.intervalx().get_bounds()``          | :attr:`.transforms.Bbox.intervalx`                   |
+| ``Bbox.intervalx().set_bounds()``          | [It is now a property.]                              |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.intervaly().get_bounds()``          | :attr:`.transforms.Bbox.intervaly`                   |
+| ``Bbox.intervaly().set_bounds()``          | [It is now a property.]                              |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.xmin``                              | :attr:`.transforms.Bbox.x0` or                       |
+|                                            | :attr:`transforms.Bbox.xmin                          |
+|                                            | <.transforms.BboxBase.xmin>` [1]_                    |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.ymin``                              | :attr:`.transforms.Bbox.y0` or                       |
+|                                            | :attr:`transforms.Bbox.ymin                          |
+|                                            | <.transforms.BboxBase.ymin>` [1]_                    |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.xmax``                              | :attr:`.transforms.Bbox.x1` or                       |
+|                                            | :attr:`transforms.Bbox.xmax                          |
+|                                            | <.transforms.BboxBase.xmax>` [1]_                    |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.ymax``                              | :attr:`.transforms.Bbox.y1` or                       |
+|                                            | :attr:`transforms.Bbox.ymax                          |
+|                                            | <.transforms.BboxBase.ymax>` [1]_                    |
++--------------------------------------------+------------------------------------------------------+
+| ``Bbox.overlaps(bboxes)``                  | `Bbox.count_overlaps(bboxes)                         |
+|                                            | <.BboxBase.count_overlaps>`                          |
++--------------------------------------------+------------------------------------------------------+
+| ``bbox_all(bboxes)``                       | `Bbox.union(bboxes) <.BboxBase.union>`               |
+|                                            | [It is a staticmethod.]                              |
++--------------------------------------------+------------------------------------------------------+
+| ``lbwh_to_bbox(l, b, w, h)``               | `Bbox.from_bounds(x0, y0, w, h) <.Bbox.from_bounds>` |
+|                                            | [It is a staticmethod.]                              |
++--------------------------------------------+------------------------------------------------------+
+| ``inverse_transform_bbox(trans, bbox)``    | ``bbox.inverse_transformed(trans)``                  |
+|                                            |                                                      |
++--------------------------------------------+------------------------------------------------------+
+| ``Interval.contains_open(v)``              | `interval_contains_open(tuple, v)                    |
+|                                            | <.interval_contains_open>`                           |
++--------------------------------------------+------------------------------------------------------+
+| ``Interval.contains(v)``                   | `interval_contains(tuple, v) <.interval_contains>`   |
++--------------------------------------------+------------------------------------------------------+
+| ``identity_transform()``                   | :class:`.transforms.IdentityTransform`               |
++--------------------------------------------+------------------------------------------------------+
+| ``blend_xy_sep_transform(xtrans, ytrans)`` | `blended_transform_factory(xtrans, ytrans)           |
+|                                            | <.blended_transform_factory>`                        |
++--------------------------------------------+------------------------------------------------------+
+| ``scale_transform(xs, ys)``                | `Affine2D().scale(xs[, ys]) <.Affine2D.scale>`       |
++--------------------------------------------+------------------------------------------------------+
+| ``get_bbox_transform(boxin, boxout)``      | `BboxTransform(boxin, boxout) <.BboxTransform>` or   |
+|                                            | `BboxTransformFrom(boxin) <.BboxTransformFrom>` or   |
+|                                            | `BboxTransformTo(boxout) <.BboxTransformTo>`         |
++--------------------------------------------+------------------------------------------------------+
+| ``Transform.seq_xy_tup(points)``           | `Transform.transform(points) <.Transform.transform>` |
++--------------------------------------------+------------------------------------------------------+
+| ``Transform.inverse_xy_tup(points)``       | `Transform.inverted()                                |
+|                                            | <.Transform.inverted>`.transform(points)             |
++--------------------------------------------+------------------------------------------------------+
+
+.. [1] The :class:`~matplotlib.transforms.Bbox` is bound by the points
+   (x0, y0) to (x1, y1) and there is no defined order to these points,
+   that is, x0 is not necessarily the left edge of the box.  To get
+   the left edge of the :class:`.Bbox`, use the read-only property
+   :attr:`xmin <matplotlib.transforms.BboxBase.xmin>`.
+
+:mod:`matplotlib.axes`
+~~~~~~~~~~~~~~~~~~~~~~
+
+============================= ==============================================
+Old method                    New method
+============================= ==============================================
+``Axes.get_position()``       :meth:`matplotlib.axes.Axes.get_position` [2]_
+----------------------------- ----------------------------------------------
+``Axes.set_position()``       :meth:`matplotlib.axes.Axes.set_position` [3]_
+----------------------------- ----------------------------------------------
+``Axes.toggle_log_lineary()`` :meth:`matplotlib.axes.Axes.set_yscale` [4]_
+----------------------------- ----------------------------------------------
+``Subplot`` class             removed
+============================= ==============================================
+
+The ``Polar`` class has moved to :mod:`matplotlib.projections.polar`.
+
+.. [2] :meth:`matplotlib.axes.Axes.get_position` used to return a list
+   of points, now it returns a :class:`matplotlib.transforms.Bbox`
+   instance.
+
+.. [3] :meth:`matplotlib.axes.Axes.set_position` now accepts either
+   four scalars or a :class:`matplotlib.transforms.Bbox` instance.
+
+.. [4] Since the refactoring allows for more than two scale types
+   ('log' or 'linear'), it no longer makes sense to have a toggle.
+   ``Axes.toggle_log_lineary()`` has been removed.
+
+:mod:`matplotlib.artist`
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+============================== ==============================================
+Old method                     New method
+============================== ==============================================
+``Artist.set_clip_path(path)`` ``Artist.set_clip_path(path, transform)`` [5]_
+============================== ==============================================
+
+.. [5] :meth:`matplotlib.artist.Artist.set_clip_path` now accepts a
+   :class:`matplotlib.path.Path` instance and a
+   :class:`matplotlib.transforms.Transform` that will be applied to
+   the path immediately before clipping.
+
+:mod:`matplotlib.collections`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+=========== =================
+Old method  New method
+=========== =================
+*linestyle* *linestyles* [6]_
+=========== =================
+
+.. [6] Linestyles are now treated like all other collection
+   attributes, i.e.  a single value or multiple values may be
+   provided.
+
+:mod:`matplotlib.colors`
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+================================== =====================================================
+Old method                         New method
+================================== =====================================================
+``ColorConvertor.to_rgba_list(c)`` ``colors.to_rgba_array(c)``
+                                   [:meth:`matplotlib.colors.to_rgba_array`
+                                   returns an Nx4 NumPy array of RGBA color quadruples.]
+================================== =====================================================
+
+:mod:`matplotlib.contour`
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+===================== ===================================================
+Old method            New method
+===================== ===================================================
+``Contour._segments`` ``matplotlib.contour.Contour.get_paths`` [Returns a
+                      list of :class:`matplotlib.path.Path` instances.]
+===================== ===================================================
+
+:mod:`matplotlib.figure`
+~~~~~~~~~~~~~~~~~~~~~~~~
+
++----------------------+--------------------------------------+
+| Old method           | New method                           |
++======================+======================================+
+| ``Figure.dpi.get()`` | :attr:`matplotlib.figure.Figure.dpi` |
+| ``Figure.dpi.set()`` | *(a property)*                       |
++----------------------+--------------------------------------+
+
+:mod:`matplotlib.patches`
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+===================== ====================================================
+Old method            New method
+===================== ====================================================
+``Patch.get_verts()`` :meth:`matplotlib.patches.Patch.get_path` [Returns a
+                      :class:`matplotlib.path.Path` instance]
+===================== ====================================================
+
+:mod:`matplotlib.backend_bases`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+============================================= ==========================================
+Old method                                    New method
+============================================= ==========================================
+``GraphicsContext.set_clip_rectangle(tuple)`` `GraphicsContext.set_clip_rectangle(bbox)
+                                              <.GraphicsContextBase.set_clip_rectangle>`
+--------------------------------------------- ------------------------------------------
+``GraphicsContext.get_clip_path()``           `GraphicsContext.get_clip_path()
+                                              <.GraphicsContextBase.get_clip_path>` [7]_
+--------------------------------------------- ------------------------------------------
+``GraphicsContext.set_clip_path()``           `GraphicsContext.set_clip_path()
+                                              <.GraphicsContextBase.set_clip_path>` [8]_
+============================================= ==========================================
+
+.. [7] :meth:`matplotlib.backend_bases.GraphicsContextBase.get_clip_path`
+   returns a tuple of the form (*path*, *affine_transform*), where *path* is a
+   :class:`matplotlib.path.Path` instance and *affine_transform* is a
+   :class:`matplotlib.transforms.Affine2D` instance.
+
+.. [8] :meth:`matplotlib.backend_bases.GraphicsContextBase.set_clip_path` now
+   only accepts a :class:`matplotlib.transforms.TransformedPath` instance.
+
+:class:`~matplotlib.backend_bases.RendererBase`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+New methods:
+
+* :meth:`draw_path(self, gc, path, transform, rgbFace)
+  <matplotlib.backend_bases.RendererBase.draw_path>`
+* :meth:`draw_markers(self, gc, marker_path, marker_trans, path,
+  trans, rgbFace)
+  <matplotlib.backend_bases.RendererBase.draw_markers>`
+* :meth:`draw_path_collection(self, master_transform, cliprect,
+  clippath, clippath_trans, paths, all_transforms, offsets,
+  offsetTrans, facecolors, edgecolors, linewidths, linestyles,
+  antialiaseds)
+  <matplotlib.backend_bases.RendererBase.draw_path_collection>`
+  *[optional]*
+
+Changed methods:
+
+* ``draw_image(self, x, y, im, bbox)`` is now
+  :meth:`draw_image(self, x, y, im, bbox, clippath, clippath_trans)
+  <matplotlib.backend_bases.RendererBase.draw_image>`
+
+Removed methods:
+
+* ``draw_arc``
+* ``draw_line_collection``
+* ``draw_line``
+* ``draw_lines``
+* ``draw_point``
+* ``draw_quad_mesh``
+* ``draw_poly_collection``
+* ``draw_polygon``
+* ``draw_rectangle``
+* ``draw_regpoly_collection``
diff --git a/doc/api/prev_api_changes/api_changes_0.98.1.rst b/doc/api/prev_api_changes/api_changes_0.98.1.rst
new file mode 100644
index 000000000000..7ec4c767abbc
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.98.1.rst
@@ -0,0 +1,5 @@
+Changes for 0.98.1
+==================
+
+* Removed broken ``matplotlib.axes3d`` support and replaced it with a
+  non-implemented error pointing to 0.91.x
diff --git a/doc/api/prev_api_changes/api_changes_0.98.x.rst b/doc/api/prev_api_changes/api_changes_0.98.x.rst
new file mode 100644
index 000000000000..d21e8d17092f
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.98.x.rst
@@ -0,0 +1,109 @@
+
+Changes for 0.98.x
+==================
+* ``psd()``, ``csd()``, and ``cohere()`` will now automatically wrap negative
+  frequency components to the beginning of the returned arrays.
+  This is much more sensible behavior and makes them consistent
+  with ``specgram()``.  The previous behavior was more of an oversight
+  than a design decision.
+
+* Added new keyword parameters *nonposx*, *nonposy* to
+  :class:`matplotlib.axes.Axes` methods that set log scale
+  parameters.  The default is still to mask out non-positive
+  values, but the kwargs accept 'clip', which causes non-positive
+  values to be replaced with a very small positive value.
+
+* Added new :func:`matplotlib.pyplot.fignum_exists` and
+  :func:`matplotlib.pyplot.get_fignums`; they merely expose
+  information that had been hidden in ``matplotlib._pylab_helpers``.
+
+* Deprecated numerix package.
+
+* Added new :func:`matplotlib.image.imsave` and exposed it to the
+  :mod:`matplotlib.pyplot` interface.
+
+* Remove support for pyExcelerator in exceltools -- use xlwt
+  instead
+
+* Changed the defaults of acorr and xcorr to use usevlines=True,
+  maxlags=10 and normed=True since these are the best defaults
+
+* Following keyword parameters for :class:`matplotlib.legend.Legend` are now
+  deprecated and new set of parameters are introduced. The new parameters
+  are given as a fraction of the font-size. Also, *scatteryoffsets*,
+  *fancybox* and *columnspacing* are added as keyword parameters.
+
+  ================   ================
+  Deprecated         New
+  ================   ================
+  pad                borderpad
+  labelsep           labelspacing
+  handlelen          handlelength
+  handlestextsep     handletextpad
+  axespad            borderaxespad
+  ================   ================
+
+* Removed the configobj and experimental traits rc support
+
+* Modified :func:`matplotlib.mlab.psd`, :func:`matplotlib.mlab.csd`,
+  :func:`matplotlib.mlab.cohere`, and :func:`matplotlib.mlab.specgram`
+  to scale one-sided densities by a factor of 2.  Also, optionally
+  scale the densities by the sampling frequency, which gives true values
+  of densities that can be integrated by the returned frequency values.
+  This also gives better MATLAB compatibility.  The corresponding
+  :class:`matplotlib.axes.Axes` methods and :mod:`matplotlib.pyplot`
+  functions were updated as well.
+
+* Font lookup now uses a nearest-neighbor approach rather than an
+  exact match.  Some fonts may be different in plots, but should be
+  closer to what was requested.
+
+* :meth:`matplotlib.axes.Axes.set_xlim`,
+  :meth:`matplotlib.axes.Axes.set_ylim` now return a copy of the
+  ``viewlim`` array to avoid modify-in-place surprises.
+
+* ``matplotlib.afm.AFM.get_fullname`` and
+  ``matplotlib.afm.AFM.get_familyname`` no longer raise an
+  exception if the AFM file does not specify these optional
+  attributes, but returns a guess based on the required FontName
+  attribute.
+
+* Changed precision kwarg in :func:`matplotlib.pyplot.spy`; default is
+  0, and the string value 'present' is used for sparse arrays only to
+  show filled locations.
+
+* :class:`matplotlib.collections.EllipseCollection` added.
+
+* Added ``angles`` kwarg to :func:`matplotlib.pyplot.quiver` for more
+  flexible specification of the arrow angles.
+
+* Deprecated (raise NotImplementedError) all the mlab2 functions from
+  :mod:`matplotlib.mlab` out of concern that some of them were not
+  clean room implementations.
+
+* Methods :meth:`matplotlib.collections.Collection.get_offsets` and
+  :meth:`matplotlib.collections.Collection.set_offsets` added to
+  :class:`~matplotlib.collections.Collection` base class.
+
+* ``matplotlib.figure.Figure.figurePatch`` renamed
+  ``matplotlib.figure.Figure.patch``;
+  ``matplotlib.axes.Axes.axesPatch`` renamed
+  ``matplotlib.axes.Axes.patch``;
+  ``matplotlib.axes.Axes.axesFrame`` renamed
+  ``matplotlib.axes.Axes.frame``.
+  ``matplotlib.axes.Axes.get_frame``, which returns
+  ``matplotlib.axes.Axes.patch``, is deprecated.
+
+* Changes in the :class:`matplotlib.contour.ContourLabeler` attributes
+  (:func:`matplotlib.pyplot.clabel` function) so that they all have a
+  form like ``.labelAttribute``.  The three attributes that are most
+  likely to be used by end users, ``.cl``, ``.cl_xy`` and
+  ``.cl_cvalues`` have been maintained for the moment (in addition to
+  their renamed versions), but they are deprecated and will eventually
+  be removed.
+
+* Moved several functions in :mod:`matplotlib.mlab` and
+  :mod:`matplotlib.cbook` into a separate module
+  ``matplotlib.numerical_methods`` because they were unrelated to
+  the initial purpose of mlab or cbook and appeared more coherent
+  elsewhere.
diff --git a/doc/api/prev_api_changes/api_changes_0.99.rst b/doc/api/prev_api_changes/api_changes_0.99.rst
new file mode 100644
index 000000000000..e03face0d075
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.99.rst
@@ -0,0 +1,27 @@
+Changes in 0.99
+===============
+
+* pylab no longer provides a load and save function.  These are
+  available in matplotlib.mlab, or you can use numpy.loadtxt and
+  numpy.savetxt for text files, or np.save and np.load for binary
+  NumPy arrays.
+
+* User-generated colormaps can now be added to the set recognized
+  by ``matplotlib.cm.get_cmap``.  Colormaps can be made the
+  default and applied to the current image using
+  :func:`matplotlib.pyplot.set_cmap`.
+
+* changed use_mrecords default to False in mlab.csv2rec since this is
+  partially broken
+
+* Axes instances no longer have a "frame" attribute. Instead, use the
+  new "spines" attribute. Spines is a dictionary where the keys are
+  the names of the spines (e.g., 'left','right' and so on) and the
+  values are the artists that draw the spines. For normal
+  (rectilinear) axes, these artists are Line2D instances. For other
+  axes (such as polar axes), these artists may be Patch instances.
+
+* Polar plots no longer accept a resolution kwarg.  Instead, each Path
+  must specify its own number of interpolation steps.  This is
+  unlikely to be a user-visible change -- if interpolation of data is
+  required, that should be done before passing it to Matplotlib.
diff --git a/doc/api/prev_api_changes/api_changes_0.99.x.rst b/doc/api/prev_api_changes/api_changes_0.99.x.rst
new file mode 100644
index 000000000000..4736d066d43e
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_0.99.x.rst
@@ -0,0 +1,124 @@
+Changes beyond 0.99.x
+=====================
+
+* The default behavior of :meth:`matplotlib.axes.Axes.set_xlim`,
+  :meth:`matplotlib.axes.Axes.set_ylim`, and
+  :meth:`matplotlib.axes.Axes.axis`, and their corresponding
+  pyplot functions, has been changed: when view limits are
+  set explicitly with one of these methods, autoscaling is turned
+  off for the matching axis. A new *auto* kwarg is available to
+  control this behavior. The limit kwargs have been renamed to
+  *left* and *right* instead of *xmin* and *xmax*, and *bottom*
+  and *top* instead of *ymin* and *ymax*.  The old names may still
+  be used, however.
+
+* There are five new Axes methods with corresponding pyplot
+  functions to facilitate autoscaling, tick location, and tick
+  label formatting, and the general appearance of ticks and
+  tick labels:
+
+  + :meth:`matplotlib.axes.Axes.autoscale` turns autoscaling
+    on or off, and applies it.
+
+  + :meth:`matplotlib.axes.Axes.margins` sets margins used to
+    autoscale the ``matplotlib.axes.Axes.viewLim`` based on
+    the ``matplotlib.axes.Axes.dataLim``.
+
+  + :meth:`matplotlib.axes.Axes.locator_params` allows one to
+    adjust axes locator parameters such as *nbins*.
+
+  + :meth:`matplotlib.axes.Axes.ticklabel_format` is a convenience
+    method for controlling the :class:`matplotlib.ticker.ScalarFormatter`
+    that is used by default with linear axes.
+
+  + :meth:`matplotlib.axes.Axes.tick_params` controls direction, size,
+    visibility, and color of ticks and their labels.
+
+* The :meth:`matplotlib.axes.Axes.bar` method accepts a *error_kw*
+  kwarg; it is a dictionary of kwargs to be passed to the
+  errorbar function.
+
+* The :meth:`matplotlib.axes.Axes.hist` *color* kwarg now accepts
+  a sequence of color specs to match a sequence of datasets.
+
+* The :class:`~matplotlib.collections.EllipseCollection` has been
+  changed in two ways:
+
+  + There is a new *units* option, 'xy', that scales the ellipse with
+    the data units.  This matches the :class:'~matplotlib.patches.Ellipse`
+    scaling.
+
+  + The *height* and *width* kwargs have been changed to specify
+    the height and width, again for consistency with
+    :class:`~matplotlib.patches.Ellipse`, and to better match
+    their names; previously they specified the half-height and
+    half-width.
+
+* There is a new rc parameter ``axes.color_cycle``, and the color
+  cycle is now independent of the rc parameter ``lines.color``.
+  ``matplotlib.Axes.set_default_color_cycle`` is deprecated.
+
+* You can now print several figures to one pdf file and modify the
+  document information dictionary of a pdf file. See the docstrings
+  of the class :class:`matplotlib.backends.backend_pdf.PdfPages` for
+  more information.
+
+* Removed configobj_ and `enthought.traits`_ packages, which are only
+  required by the experimental traited config and are somewhat out of
+  date. If needed, install them independently.
+
+.. _configobj: http://www.voidspace.org.uk/python/configobj.html
+.. _`enthought.traits`: http://code.enthought.com/pages/traits.html
+
+* The new rc parameter ``savefig.extension`` sets the filename extension
+  that is used by :meth:`matplotlib.figure.Figure.savefig` if its *fname*
+  argument lacks an extension.
+
+* In an effort to simplify the backend API, all clipping rectangles
+  and paths are now passed in using GraphicsContext objects, even
+  on collections and images.  Therefore::
+
+    draw_path_collection(self, master_transform, cliprect, clippath,
+                         clippath_trans, paths, all_transforms, offsets,
+                         offsetTrans, facecolors, edgecolors, linewidths,
+                         linestyles, antialiaseds, urls)
+
+    # is now
+
+    draw_path_collection(self, gc, master_transform, paths, all_transforms,
+                         offsets, offsetTrans, facecolors, edgecolors,
+                         linewidths, linestyles, antialiaseds, urls)
+
+
+    draw_quad_mesh(self, master_transform, cliprect, clippath,
+                   clippath_trans, meshWidth, meshHeight, coordinates,
+                   offsets, offsetTrans, facecolors, antialiased,
+                   showedges)
+
+    # is now
+
+    draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
+                   coordinates, offsets, offsetTrans, facecolors,
+                   antialiased, showedges)
+
+
+    draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None)
+
+    # is now
+
+    draw_image(self, gc, x, y, im)
+
+* There are four new Axes methods with corresponding pyplot
+  functions that deal with unstructured triangular grids:
+
+  + :meth:`matplotlib.axes.Axes.tricontour` draws contour lines
+    on a triangular grid.
+
+  + :meth:`matplotlib.axes.Axes.tricontourf` draws filled contours
+    on a triangular grid.
+
+  + :meth:`matplotlib.axes.Axes.tripcolor` draws a pseudocolor
+    plot on a triangular grid.
+
+  + :meth:`matplotlib.axes.Axes.triplot` draws a triangular grid
+    as lines and/or markers.
diff --git a/doc/api/prev_api_changes/api_changes_1.1.x.rst b/doc/api/prev_api_changes/api_changes_1.1.x.rst
new file mode 100644
index 000000000000..790b669081b7
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.1.x.rst
@@ -0,0 +1,25 @@
+
+API Changes in 1.1.x
+====================
+
+* Added new :class:`matplotlib.sankey.Sankey` for generating Sankey diagrams.
+
+* In :meth:`~matplotlib.pyplot.imshow`, setting *interpolation* to 'nearest'
+  will now always mean that the nearest-neighbor interpolation is performed.
+  If you want the no-op interpolation to be performed, choose 'none'.
+
+* There were errors in how the tri-functions were handling input parameters
+  that had to be fixed. If your tri-plots are not working correctly anymore,
+  or you were working around apparent mistakes, please see issue #203 in the
+  github tracker. When in doubt, use kwargs.
+
+* The 'symlog' scale had some bad behavior in previous versions. This has now
+  been fixed and users should now be able to use it without frustrations.
+  The fixes did result in some minor changes in appearance for some users who
+  may have been depending on the bad behavior.
+
+* There is now a common set of markers for all plotting functions. Previously,
+  some markers existed only for :meth:`~matplotlib.pyplot.scatter` or just for
+  :meth:`~matplotlib.pyplot.plot`. This is now no longer the case. This merge
+  did result in a conflict. The string 'd' now means "thin diamond" while
+  'D' will mean "regular diamond".
diff --git a/doc/api/prev_api_changes/api_changes_1.2.x.rst b/doc/api/prev_api_changes/api_changes_1.2.x.rst
new file mode 100644
index 000000000000..45a2f35cf29e
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.2.x.rst
@@ -0,0 +1,145 @@
+API Changes in 1.2.x
+====================
+
+* The ``classic`` option of the rc parameter ``toolbar`` is deprecated
+  and will be removed in the next release.
+
+* The ``matplotlib.cbook.isvector`` method has been removed since it
+  is no longer functional.
+
+* The ``rasterization_zorder`` property on `~matplotlib.axes.Axes` sets a
+  zorder below which artists are rasterized.  This has defaulted to
+  -30000.0, but it now defaults to *None*, meaning no artists will be
+  rasterized.  In order to rasterize artists below a given zorder
+  value, `.set_rasterization_zorder` must be explicitly called.
+
+* In :meth:`~matplotlib.axes.Axes.scatter`, and `~.pyplot.scatter`,
+  when specifying a marker using a tuple, the angle is now specified
+  in degrees, not radians.
+
+* Using :meth:`~matplotlib.axes.Axes.twinx` or
+  :meth:`~matplotlib.axes.Axes.twiny` no longer overrides the current locaters
+  and formatters on the axes.
+
+* In :meth:`~matplotlib.axes.Axes.contourf`, the handling of the *extend*
+  kwarg has changed.  Formerly, the extended ranges were mapped
+  after to 0, 1 after being normed, so that they always corresponded
+  to the extreme values of the colormap.  Now they are mapped
+  outside this range so that they correspond to the special
+  colormap values determined by the
+  :meth:`~matplotlib.colors.Colormap.set_under` and
+  :meth:`~matplotlib.colors.Colormap.set_over` methods, which
+  default to the colormap end points.
+
+* The new rc parameter ``savefig.format`` replaces ``cairo.format`` and
+  ``savefig.extension``, and sets the default file format used by
+  :meth:`matplotlib.figure.Figure.savefig`.
+
+* In :func:`.pyplot.pie` and :meth:`.axes.Axes.pie`, one can now set the radius
+  of the pie; setting the *radius* to 'None' (the default value), will result
+  in a pie with a radius of 1 as before.
+
+* Use of ``matplotlib.projections.projection_factory`` is now deprecated
+  in favour of axes class identification using
+  ``matplotlib.projections.process_projection_requirements`` followed by
+  direct axes class invocation (at the time of writing, functions which do this
+  are: :meth:`~matplotlib.figure.Figure.add_axes`,
+  :meth:`~matplotlib.figure.Figure.add_subplot` and
+  :meth:`~matplotlib.figure.Figure.gca`). Therefore::
+
+
+      key = figure._make_key(*args, **kwargs)
+      ispolar = kwargs.pop('polar', False)
+      projection = kwargs.pop('projection', None)
+      if ispolar:
+          if projection is not None and projection != 'polar':
+              raise ValueError('polar and projection args are inconsistent')
+          projection = 'polar'
+      ax = projection_factory(projection, self, rect, **kwargs)
+      key = self._make_key(*args, **kwargs)
+
+      # is now
+
+      projection_class, kwargs, key = \
+                         process_projection_requirements(self, *args, **kwargs)
+      ax = projection_class(self, rect, **kwargs)
+
+  This change means that third party objects can expose themselves as
+  Matplotlib axes by providing a ``_as_mpl_axes`` method. See
+  :mod:`matplotlib.projections` for more detail.
+
+* A new keyword *extendfrac* in :meth:`~matplotlib.pyplot.colorbar` and
+  :class:`~matplotlib.colorbar.ColorbarBase` allows one to control the size of
+  the triangular minimum and maximum extensions on colorbars.
+
+* A new keyword *capthick* in :meth:`~matplotlib.pyplot.errorbar` has been
+  added as an intuitive alias to the *markeredgewidth* and *mew* keyword
+  arguments, which indirectly controlled the thickness of the caps on
+  the errorbars.  For backwards compatibility, specifying either of the
+  original keyword arguments will override any value provided by
+  *capthick*.
+
+* Transform subclassing behaviour is now subtly changed. If your transform
+  implements a non-affine transformation, then it should override the
+  ``transform_non_affine`` method, rather than the generic ``transform`` method.
+  Previously transforms would define ``transform`` and then copy the
+  method into ``transform_non_affine``::
+
+     class MyTransform(mtrans.Transform):
+         def transform(self, xy):
+             ...
+         transform_non_affine = transform
+
+
+  This approach will no longer function correctly and should be changed to::
+
+     class MyTransform(mtrans.Transform):
+         def transform_non_affine(self, xy):
+             ...
+
+
+* Artists no longer have ``x_isdata`` or ``y_isdata`` attributes; instead
+  any artist's transform can be interrogated with
+  ``artist_instance.get_transform().contains_branch(ax.transData)``
+
+* Lines added to an axes now take into account their transform when updating the
+  data and view limits. This means transforms can now be used as a pre-transform.
+  For instance::
+
+      >>> import matplotlib.pyplot as plt
+      >>> import matplotlib.transforms as mtrans
+      >>> ax = plt.axes()
+      >>> ax.plot(range(10), transform=mtrans.Affine2D().scale(10) + ax.transData)
+      >>> print(ax.viewLim)
+      Bbox('array([[  0.,   0.],\n       [ 90.,  90.]])')
+
+* One can now easily get a transform which goes from one transform's coordinate
+  system to another, in an optimized way, using the new subtract method on a
+  transform. For instance, to go from data coordinates to axes coordinates::
+
+      >>> import matplotlib.pyplot as plt
+      >>> ax = plt.axes()
+      >>> data2ax = ax.transData - ax.transAxes
+      >>> print(ax.transData.depth, ax.transAxes.depth)
+      3, 1
+      >>> print(data2ax.depth)
+      2
+
+  for versions before 1.2 this could only be achieved in a sub-optimal way,
+  using ``ax.transData + ax.transAxes.inverted()`` (depth is a new concept,
+  but had it existed it would return 4 for this example).
+
+* ``twinx`` and ``twiny`` now returns an instance of SubplotBase if
+  parent axes is an instance of SubplotBase.
+
+* All Qt3-based backends are now deprecated due to the lack of py3k bindings.
+  Qt and QtAgg backends will continue to work in v1.2.x for py2.6
+  and py2.7. It is anticipated that the Qt3 support will be completely
+  removed for the next release.
+
+* ``matplotlib.colors.ColorConverter``,
+  :class:`~matplotlib.colors.Colormap` and
+  :class:`~matplotlib.colors.Normalize` now subclasses ``object``
+
+* ContourSet instances no longer have a ``transform`` attribute. Instead,
+  access the transform with the ``get_transform`` method.
diff --git a/doc/api/prev_api_changes/api_changes_1.3.x.rst b/doc/api/prev_api_changes/api_changes_1.3.x.rst
new file mode 100644
index 000000000000..2601824ba7d1
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.3.x.rst
@@ -0,0 +1,218 @@
+.. _changes_in_1_3:
+
+
+API Changes in 1.3.x
+====================
+
+Changes in 1.3.1
+----------------
+
+It is rare that we make an API change in a micro release, however,
+for 1.3.1 since 1.3.0 the following change was made:
+
+- ``text.Text.cached`` (used to cache font objects) has been made into a
+  private variable.  Among the obvious encapsulation benefit, this
+  removes this confusing-looking member from the documentation.
+
+- The method :meth:`~matplotlib.axes.Axes.hist` now always returns bin
+  occupancies as an array of type `float`. Previously, it was sometimes
+  an array of type `int`, depending on the call.
+
+Code removal
+------------
+
+* The following items that were deprecated in version 1.2 or earlier
+  have now been removed completely.
+
+  - The Qt 3.x backends (``qt`` and ``qtagg``) have been removed in
+    favor of the Qt 4.x backends (``qt4`` and ``qt4agg``).
+
+  - The FltkAgg and Emf backends have been removed.
+
+  - The ``matplotlib.nxutils`` module has been removed.  Use the
+    functionality on `matplotlib.path.Path.contains_point` and
+    friends instead.
+
+  - Instead of ``axes.Axes.get_frame``, use ``axes.Axes.patch``.
+
+  - The following keyword arguments to the `~.axes.Axes.legend` function have
+    been renamed:
+
+    - *pad* -> *borderpad*
+    - *labelsep* -> *labelspacing*
+    - *handlelen* -> *handlelength*
+    - *handletextsep* -> *handletextpad*
+    - *axespad* -> *borderaxespad*
+
+    Related to this, the following rcParams have been removed:
+
+    - ``legend.pad``,
+    - ``legend.labelsep``,
+    - ``legend.handlelen``,
+    - ``legend.handletextsep`` and
+    - ``legend.axespad``
+
+  - For the `~.axes.Axes.hist` function, instead of *width*, use *rwidth*
+    (relative width).
+
+  - On `.patches.Circle`, the *resolution* keyword argument has been removed.
+    For a circle made up of line segments, use
+    `.patches.CirclePolygon`.
+
+  - The printing functions in the Wx backend have been removed due
+    to the burden of keeping them up-to-date.
+
+  - ``mlab.liaupunov`` has been removed.
+
+  - ``mlab.save``, ``mlab.load``, ``pylab.save`` and ``pylab.load`` have
+    been removed.  We recommend using `numpy.savetxt` and
+    `numpy.loadtxt` instead.
+
+  - ``widgets.HorizontalSpanSelector`` has been removed.  Use
+    `.widgets.SpanSelector` instead.
+
+Code deprecation
+----------------
+
+* The CocoaAgg backend has been deprecated, with the possibility for
+  deletion or resurrection in a future release.
+
+* The top-level functions in `matplotlib.path` that are implemented in
+  C++ were never meant to be public.  Instead, users should use the
+  Pythonic wrappers for them in the `.path.Path` and
+  `.collections.Collection` classes.  Use the following mapping to update
+  your code:
+
+  - ``point_in_path`` -> `.path.Path.contains_point`
+  - ``get_path_extents`` -> `.path.Path.get_extents`
+  - ``point_in_path_collection`` -> `.collections.Collection.contains`
+  - ``path_in_path`` -> `.path.Path.contains_path`
+  - ``path_intersects_path`` -> `.path.Path.intersects_path`
+  - ``convert_path_to_polygons`` -> `.path.Path.to_polygons`
+  - ``cleanup_path`` -> `.path.Path.cleaned`
+  - ``points_in_path`` -> `.path.Path.contains_points`
+  - ``clip_path_to_rect`` -> `.path.Path.clip_to_bbox`
+
+* ``matplotlib.colors.normalize`` and ``matplotlib.colors.no_norm`` have
+  been deprecated in favour of `matplotlib.colors.Normalize` and
+  `matplotlib.colors.NoNorm` respectively.
+
+* The `.ScalarMappable` class' ``set_colorbar`` method is now deprecated.
+  Instead, the :attr:`matplotlib.cm.ScalarMappable.colorbar` attribute should
+  be used.  In previous Matplotlib versions this attribute was an undocumented
+  tuple of ``(colorbar_instance, colorbar_axes)`` but is now just
+  ``colorbar_instance``.  To get the colorbar axes it is possible to just use
+  the ``matplotlib.colorbar.ColorbarBase.ax`` attribute on a colorbar
+  instance.
+
+* The ``matplotlib.mpl`` module is now deprecated.  Those who relied on this
+  module should transition to simply using ``import matplotlib as mpl``.
+
+Code changes
+------------
+
+* :class:`~matplotlib.patches.Patch` now fully supports using RGBA values for
+  its ``facecolor`` and ``edgecolor`` attributes, which enables faces and
+  edges to have different alpha values. If the
+  :class:`~matplotlib.patches.Patch` object's ``alpha`` attribute is set to
+  anything other than ``None``, that value will override any alpha-channel
+  value in both the face and edge colors. Previously, if
+  :class:`~matplotlib.patches.Patch` had ``alpha=None``, the alpha component
+  of ``edgecolor`` would be applied to both the edge and face.
+
+* The optional ``isRGB`` argument to
+  :meth:`~matplotlib.backend_bases.GraphicsContextBase.set_foreground` (and
+  the other GraphicsContext classes that descend from it) has been renamed to
+  ``isRGBA``, and should now only be set to ``True`` if the ``fg`` color
+  argument is known to be an RGBA tuple.
+
+* For :class:`~matplotlib.patches.Patch`, the ``capstyle`` used is now
+  ``butt``, to be consistent with the default for most other objects, and to
+  avoid problems with non-solid ``linestyle`` appearing solid when using a
+  large ``linewidth``. Previously, :class:`~matplotlib.patches.Patch` used
+  ``capstyle='projecting'``.
+
+* `.Path` objects can now be marked as *readonly* by passing
+  ``readonly=True`` to its constructor.  The built-in path singletons,
+  obtained through ``Path.unit*`` class methods return readonly paths.
+  If you have code that modified these, you will need to make a
+  deepcopy first, using either::
+
+    import copy
+    path = copy.deepcopy(Path.unit_circle())
+
+    # or
+
+    path = Path.unit_circle().deepcopy()
+
+  Deep copying a `.Path` always creates an editable (i.e. non-readonly)
+  `.Path`.
+
+* The list at ``Path.NUM_VERTICES`` was replaced by a dictionary mapping
+  Path codes to the number of expected vertices at
+  :attr:`~matplotlib.path.Path.NUM_VERTICES_FOR_CODE`.
+
+* To support XKCD style plots, the ``matplotlib.path.cleanup_path``
+  method's signature was updated to require a sketch argument. Users of
+  ``matplotlib.path.cleanup_path`` are encouraged to use the new
+  :meth:`~matplotlib.path.Path.cleaned` Path method.
+
+* Data limits on a plot now start from a state of having "null"
+  limits, rather than limits in the range (0, 1).  This has an effect
+  on artists that only control limits in one direction, such as
+  `.axes.Axes.axvline` and `.axes.Axes.axhline`, since their limits will no
+  longer also include the range (0, 1).  This fixes some problems where the
+  computed limits would be dependent on the order in which artists
+  were added to the axes.
+
+* Fixed a bug in setting the position for the right/top spine with data
+  position type. Previously, it would draw the right or top spine at
+  +1 data offset.
+
+* In :class:`~matplotlib.patches.FancyArrow`, the default arrow head
+  width, ``head_width``, has been made larger to produce a visible
+  arrow head. The new value of this kwarg is ``head_width = 20 *
+  width``.
+
+* It is now possible to provide ``number of levels + 1`` colors in the case of
+  ``extend='both'`` for contourf (or just ``number of levels`` colors for an
+  extend value ``min`` or ``max``) such that the resulting colormap's
+  ``set_under`` and ``set_over`` are defined appropriately. Any other number
+  of colors will continue to behave as before (if more colors are provided
+  than levels, the colors will be unused). A similar change has been applied
+  to contour, where ``extend='both'`` would expect ``number of levels + 2``
+  colors.
+
+* A new keyword *extendrect* in :meth:`~matplotlib.pyplot.colorbar` and
+  :class:`~matplotlib.colorbar.ColorbarBase` allows one to control the shape
+  of colorbar extensions.
+
+* The extension of :class:`~matplotlib.widgets.MultiCursor` to both vertical
+  (default) and/or horizontal cursor implied that ``self.line`` is replaced
+  by ``self.vline`` for vertical cursors lines and ``self.hline`` is added
+  for the horizontal cursors lines.
+
+* On POSIX platforms, the ``matplotlib.cbook.report_memory`` function
+  raises :class:`NotImplementedError` instead of :class:`OSError` if the
+  :command:`ps` command cannot be run.
+
+* The ``matplotlib.cbook.check_output`` function has been moved to
+  ``matplotlib.compat.subprocess``.
+
+Configuration and rcParams
+--------------------------
+
+* On Linux, the user-specific :file:`matplotlibrc` configuration file is now
+  located in :file:`~/.config/matplotlib/matplotlibrc` to conform to the
+  `XDG Base Directory Specification
+  <https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html>`_.
+
+* The ``font.*`` rcParams now affect only text objects created after the
+  rcParam has been set, and will not retroactively affect already
+  existing text objects.  This brings their behavior in line with most
+  other rcParams.
+
+* Removed call of :meth:`~matplotlib.axes.Axes.grid` in
+  ``matplotlib.pyplot.plotfile``. To draw the axes grid, set the
+  ``axes.grid`` rcParam to *True*, or explicitly call
+  :meth:`~matplotlib.axes.Axes.grid`.
diff --git a/doc/api/prev_api_changes/api_changes_1.4.x.rst b/doc/api/prev_api_changes/api_changes_1.4.x.rst
new file mode 100644
index 000000000000..915aa28a9f26
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.4.x.rst
@@ -0,0 +1,212 @@
+API Changes in 1.4.x
+====================
+
+Code changes
+------------
+
+* A major refactoring of the axes module was made. The axes module has been
+  split into smaller modules:
+
+  - the ``_base`` module, which contains a new private ``_AxesBase`` class.
+    This class contains all methods except plotting and labelling methods.
+  - the `~matplotlib.axes` module, which contains the `.axes.Axes` class.
+    This class inherits from ``_AxesBase``, and contains all plotting and
+    labelling methods.
+  - the ``_subplot`` module, with all the classes concerning subplotting.
+
+  There are a couple of things that do not exists in the `~matplotlib.axes`
+  module's namespace anymore. If you use them, you need to import them from their
+  original location:
+
+  - ``math`` -> ``import math``
+  - ``ma`` -> ``from numpy import ma``
+  - ``cbook`` -> ``from matplotlib import cbook``
+  - ``docstring`` -> ``from matplotlib import docstring``
+  - ``is_sequence_of_strings`` -> ``from matplotlib.cbook import is_sequence_of_strings``
+  - ``is_string_like`` -> ``from matplotlib.cbook import is_string_like``
+  - ``iterable`` -> ``from matplotlib.cbook import iterable``
+  - ``itertools`` -> ``import itertools``
+  - ``martist`` -> ``from matplotlib import artist as martist``
+  - ``matplotlib`` -> ``import matplotlib``
+  - ``mcoll`` -> ``from matplotlib import collections as mcoll``
+  - ``mcolors`` -> ``from matplotlib import colors as mcolors``
+  - ``mcontour`` -> ``from matplotlib import contour as mcontour``
+  - ``mpatches`` -> ``from matplotlib import patches as mpatches``
+  - ``mpath`` -> ``from matplotlib import path as mpath``
+  - ``mquiver`` -> ``from matplotlib import quiver as mquiver``
+  - ``mstack`` -> ``from matplotlib import stack as mstack``
+  - ``mstream`` -> ``from matplotlib import stream as mstream``
+  - ``mtable`` -> ``from matplotlib import table as mtable``
+
+* As part of the refactoring to enable Qt5 support, the module
+  ``matplotlib.backends.qt4_compat`` was renamed to
+  ``matplotlib.backends.qt_compat``.  ``qt4_compat`` is deprecated in 1.4 and
+  will be removed in 1.5.
+
+* The :func:`~matplotlib.pyplot.errorbar` method has been changed such that
+  the upper and lower limits (*lolims*, *uplims*, *xlolims*, *xuplims*) now
+  point in the correct direction.
+
+* The *fmt* kwarg for :func:`~matplotlib.pyplot.errorbar` now supports
+  the string 'none' to suppress drawing of a line and markers; use
+  of the *None* object for this is deprecated. The default *fmt*
+  value is changed to the empty string (''), so the line and markers
+  are governed by the :func:`~matplotlib.pyplot.plot` defaults.
+
+* A bug has been fixed in the path effects rendering of fonts, which now means
+  that the font size is consistent with non-path effect fonts. See
+  https://github.com/matplotlib/matplotlib/issues/2889 for more detail.
+
+* The Sphinx extensions ``ipython_directive`` and
+  ``ipython_console_highlighting`` have been moved to the IPython
+  project itself.  While they remain in Matplotlib for this release,
+  they have been deprecated.  Update your extensions in :file:`conf.py` to
+  point to ``IPython.sphinxext.ipython_directive`` instead of
+  ``matplotlib.sphinxext.ipython_directive``.
+
+* In ``matplotlib.finance``, almost all functions have been deprecated
+  and replaced with a pair of functions name ``*_ochl`` and ``*_ohlc``.
+  The former is the 'open-close-high-low' order of quotes used
+  previously in this module, and the latter is the
+  'open-high-low-close' order that is standard in finance.
+
+* For consistency the ``face_alpha`` keyword to
+  :class:`matplotlib.patheffects.SimplePatchShadow` has been deprecated in
+  favour of the ``alpha`` keyword. Similarly, the keyword ``offset_xy`` is now
+  named ``offset`` across all :class:`~matplotlib.patheffects.AbstractPathEffect`\ s.
+  ``matplotlib.patheffects._Base`` has
+  been renamed to :class:`matplotlib.patheffects.AbstractPathEffect`.
+  ``matplotlib.patheffect.ProxyRenderer`` has been renamed to
+  :class:`matplotlib.patheffects.PathEffectRenderer` and is now a full
+  RendererBase subclass.
+
+* The artist used to draw the outline of a `.Figure.colorbar` has been changed
+  from a `matplotlib.lines.Line2D` to `matplotlib.patches.Polygon`, thus
+  ``colorbar.ColorbarBase.outline`` is now a `matplotlib.patches.Polygon`
+  object.
+
+* The legend handler interface has changed from a callable, to any object
+  which implements the ``legend_artists`` method (a deprecation phase will
+  see this interface be maintained for v1.4). See
+  :ref:`legend_guide` for further details. Further legend changes
+  include:
+
+  * ``matplotlib.axes.Axes._get_legend_handles`` now returns a generator of
+    handles, rather than a list.
+
+  * The :func:`~matplotlib.pyplot.legend` function's *loc* positional
+    argument has been deprecated. Use the *loc* keyword argument instead.
+
+* The :rc:`savefig.transparent` has been added to control
+  default transparency when saving figures.
+
+* Slightly refactored the `.Annotation` family.  The text location in
+  `.Annotation` is now entirely handled by the underlying `.Text`
+  object so ``.set_position`` works as expected.  The attributes *xytext* and
+  *textcoords* have been deprecated in favor of *xyann* and *anncoords* so
+  that `.Annotation` and `.AnnotationBbox` can share a common sensibly named
+  api for getting/setting the location of the text or box.
+
+  - *xyann* -> set the location of the annotation
+  - *xy* -> set where the arrow points to
+  - *anncoords* -> set the units of the annotation location
+  - *xycoords* -> set the units of the point location
+  - ``set_position()`` -> `.Annotation` only set location of annotation
+
+* `matplotlib.mlab.specgram`, `matplotlib.mlab.psd`,  `matplotlib.mlab.csd`,
+  `matplotlib.mlab.cohere`, ``matplotlib.mlab.cohere_pairs``,
+  `matplotlib.pyplot.specgram`, `matplotlib.pyplot.psd`,
+  `matplotlib.pyplot.csd`, and `matplotlib.pyplot.cohere` now raise
+  ValueError where they previously raised AssertionError.
+
+* For `matplotlib.mlab.psd`,  `matplotlib.mlab.csd`,
+  `matplotlib.mlab.cohere`, ``matplotlib.mlab.cohere_pairs``,
+  `matplotlib.pyplot.specgram`, `matplotlib.pyplot.psd`,
+  `matplotlib.pyplot.csd`, and `matplotlib.pyplot.cohere`, in cases
+  where a shape (n, 1) array is returned, this is now converted to a (n, )
+  array.  Previously, (n, m) arrays were averaged to an (n, ) array, but
+  (n, 1) arrays were returned unchanged.  This change makes the dimensions
+  consistent in both cases.
+
+* Added the :rc:`axes.formatter.useoffset` to control the default value
+  of *useOffset* in `.ticker.ScalarFormatter`
+
+* Added `.Formatter` sub-class `.StrMethodFormatter` which
+  does the exact same thing as `.FormatStrFormatter`, but for new-style
+  formatting strings.
+
+* Deprecated ``matplotlib.testing.image_util`` and the only function within,
+  ``matplotlib.testing.image_util.autocontrast``. These will be removed
+  completely in v1.5.0.
+
+* The ``fmt`` argument of ``Axes.plot_date`` has been
+  changed from ``bo`` to just ``o``, so color cycling can happen by default.
+
+* Removed the class ``FigureManagerQTAgg`` and deprecated
+  ``NavigationToolbar2QTAgg`` which will be removed in 1.5.
+
+* Removed formerly public (non-prefixed) attributes ``rect`` and
+  ``drawRect`` from ``FigureCanvasQTAgg``; they were always an
+  implementation detail of the (preserved) ``drawRectangle()`` function.
+
+* The function signatures of ``matplotlib.tight_bbox.adjust_bbox`` and
+  ``matplotlib.tight_bbox.process_figure_for_rasterizing`` have been changed.
+  A new *fixed_dpi* parameter allows for overriding the ``figure.dpi`` setting
+  instead of trying to deduce the intended behaviour from the file format.
+
+* Added support for horizontal/vertical axes padding to
+  `mpl_toolkits.axes_grid1.axes_grid.ImageGrid` --- argument *axes_pad* can now
+  be tuple-like if separate axis padding is required.
+  The original behavior is preserved.
+
+* Added support for skewed transforms to `matplotlib.transforms.Affine2D`,
+  which can be created using the `~.Affine2D.skew` and `~.Affine2D.skew_deg`
+  methods.
+
+* Added clockwise parameter to control sectors direction in `.axes.Axes.pie`
+
+* In `matplotlib.lines.Line2D` the *markevery* functionality has been extended.
+  Previously an integer start-index and stride-length could be specified using
+  either a two-element-list or a two-element-tuple.  Now this can only be done
+  using a two-element-tuple.  If a two-element-list is used then it will be
+  treated as NumPy fancy indexing and only the two markers corresponding to the
+  given indexes will be shown.
+
+* Removed *prop* keyword argument from
+  `mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar` call.  It was
+  passed through to the base-class ``__init__`` and is only used for setting
+  padding.  Now *fontproperties* (which is what is really used to set the font
+  properties of `.AnchoredSizeBar`) is passed through in place of *prop*.  If
+  *fontproperties* is not passed in, but *prop* is, then *prop* is used in
+  place of *fontproperties*.  If both are passed in, *prop* is silently
+  ignored.
+
+
+* The use of the index 0 in `.pyplot.subplot` and related commands is
+  deprecated.  Due to a lack of validation, calling ``plt.subplots(2, 2, 0)``
+  does not raise an exception, but puts an axes in the _last_
+  position.  This is due to the indexing in subplot being 1-based (to
+  mirror MATLAB) so before indexing into the `.GridSpec` object used to
+  determine where the axes should go, 1 is subtracted off.  Passing in
+  0 results in passing -1 to `.GridSpec` which results in getting the
+  last position back.  Even though this behavior is clearly wrong and
+  not intended, we are going through a deprecation cycle in an
+  abundance of caution that any users are exploiting this 'feature'.
+  The use of 0 as an index will raise a warning in 1.4 and an
+  exception in 1.5.
+
+* Clipping is now off by default on offset boxes.
+
+* Matplotlib now uses a less-aggressive call to ``gc.collect(1)`` when
+  closing figures to avoid major delays with large numbers of user objects
+  in memory.
+
+* The default clip value of *all* pie artists now defaults to ``False``.
+
+
+Code removal
+------------
+
+* Removed ``mlab.levypdf``.  The code raised a NumPy error (and has for
+  a long time) and was not the standard form of the Levy distribution.
+  ``scipy.stats.levy`` should be used instead
diff --git a/doc/api/prev_api_changes/api_changes_1.5.0.rst b/doc/api/prev_api_changes/api_changes_1.5.0.rst
new file mode 100644
index 000000000000..b482d8bd7acd
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.5.0.rst
@@ -0,0 +1,406 @@
+
+API Changes in 1.5.0
+====================
+
+Code Changes
+------------
+
+Reversed `matplotlib.cbook.ls_mapper`, added `.ls_mapper_r`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Formerly, `matplotlib.cbook.ls_mapper` was a dictionary with
+the long-form line-style names (``"solid"``) as keys and the short
+forms (``"-"``) as values.  This long-to-short mapping is now done
+by `.ls_mapper_r`, and the short-to-long mapping is done by the
+`.ls_mapper`.
+
+Prevent moving artists between Axes, Property-ify Artist.axes, deprecate Artist.{get,set}_axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This was done to prevent an Artist that is
+already associated with an Axes from being moved/added to a different Axes.
+This was never supported as it causes havoc with the transform stack.
+The apparent support for this (as it did not raise an exception) was
+the source of multiple bug reports and questions on SO.
+
+For almost all use-cases, the assignment of the axes to an artist should be
+taken care of by the axes as part of the ``Axes.add_*`` method, hence the
+deprecation of {get,set}_axes.
+
+Removing the ``set_axes`` method will also remove the 'axes' line from
+the ACCEPTS kwarg tables (assuming that the removal date gets here
+before that gets overhauled).
+
+Tightened input validation on 'pivot' kwarg to quiver
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Tightened validation so that only {'tip', 'tail', 'mid', and 'middle'} (but any
+capitalization) are valid values for the *pivot* keyword argument in the
+`.Quiver` class (and hence `.axes.Axes.quiver` and `.pyplot.quiver` which both
+fully delegate to `.Quiver`).  Previously any input matching 'mid.*' would be
+interpreted as 'middle', 'tip.*' as 'tip' and any string not matching one of
+those patterns as 'tail'.
+
+The value of ``Quiver.pivot`` is normalized to be in the set {'tip', 'tail',
+'middle'} in `.Quiver`.
+
+Reordered ``Axes.get_children``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The artist order returned by `.axes.Axes.get_children` did not
+match the one used by `.axes.Axes.draw`.  They now use the same
+order, as `.axes.Axes.draw` now calls `.axes.Axes.get_children`.
+
+Changed behaviour of contour plots
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The default behaviour of :func:`~matplotlib.pyplot.contour` and
+:func:`~matplotlib.pyplot.contourf` when using a masked array is now determined
+by the new keyword argument *corner_mask*, or if this is not specified then
+the new :rc:`contour.corner_mask` instead.  The new default behaviour is
+equivalent to using ``corner_mask=True``; the previous behaviour can be obtained
+using ``corner_mask=False`` or by changing the rcParam.  The example
+https://matplotlib.org/examples/pylab_examples/contour_corner_mask.html
+demonstrates the difference.  Use of the old contouring algorithm, which is
+obtained with ``corner_mask='legacy'``, is now deprecated.
+
+Contour labels may now appear in different places than in earlier versions of
+Matplotlib.
+
+In addition, the keyword argument *nchunk* now applies to
+:func:`~matplotlib.pyplot.contour` as well as
+:func:`~matplotlib.pyplot.contourf`, and it subdivides the domain into
+subdomains of exactly *nchunk* by *nchunk* quads, whereas previously it was
+only roughly *nchunk* by *nchunk* quads.
+
+The C/C++ object that performs contour calculations used to be stored in the
+public attribute ``QuadContourSet.Cntr``, but is now stored in a private
+attribute and should not be accessed by end users.
+
+Added set_params function to all Locator types
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This was a bug fix targeted at making the api for Locators more consistent.
+
+In the old behavior, only locators of type MaxNLocator have set_params()
+defined, causing its use on any other Locator to raise an AttributeError *(
+aside: set_params(args) is a function that sets the parameters of a Locator
+instance to be as specified within args)*. The fix involves moving set_params()
+to the Locator class such that all subtypes will have this function defined.
+
+Since each of the Locator subtypes have their own modifiable parameters, a
+universal set_params() in Locator isn't ideal. Instead, a default no-operation
+function that raises a warning is implemented in Locator. Subtypes extending
+Locator will then override with their own implementations. Subtypes that do
+not have a need for set_params() will fall back onto their parent's
+implementation, which raises a warning as intended.
+
+In the new behavior, Locator instances will not raise an AttributeError
+when set_params() is called. For Locators that do not implement set_params(),
+the default implementation in Locator is used.
+
+Disallow ``None`` as x or y value in ax.plot
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Do not allow ``None`` as a valid input for the ``x`` or ``y`` args in
+`.axes.Axes.plot`.  This may break some user code, but this was never
+officially supported (ex documented) and allowing ``None`` objects through can
+lead to confusing exceptions downstream.
+
+To create an empty line use ::
+
+  ln1, = ax.plot([], [], ...)
+  ln2, = ax.plot([], ...)
+
+In either case to update the data in the `.Line2D` object you must update
+both the ``x`` and ``y`` data.
+
+
+Removed *args* and *kwargs* from ``MicrosecondLocator.__call__``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The call signature of ``matplotlib.dates.MicrosecondLocator.__call__``
+has changed from ``__call__(self, *args, **kwargs)`` to ``__call__(self)``.
+This is consistent with the superclass :class:`~matplotlib.ticker.Locator`
+and also all the other Locators derived from this superclass.
+
+
+No `ValueError` for the MicrosecondLocator and YearLocator
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The :class:`~matplotlib.dates.MicrosecondLocator` and
+:class:`~matplotlib.dates.YearLocator` objects when called will return
+an empty list if the axes have no data or the view has no interval.
+Previously, they raised a `ValueError`. This is consistent with all
+the Date Locators.
+
+'OffsetBox.DrawingArea' respects the 'clip' keyword argument
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The call signature was ``OffsetBox.DrawingArea(..., clip=True)`` but nothing
+was done with the *clip* argument. The object did not do any clipping
+regardless of that parameter. Now the object can and does clip the
+child `.Artist`\ s if they are set to be clipped.
+
+You can turn off the clipping on a per-child basis using
+``child.set_clip_on(False)``.
+
+Add salt to clipPath id
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Add salt to the hash used to determine the id of the ``clipPath``
+nodes.  This is to avoid conflicts when two svg documents with the same
+clip path are included in the same document (see
+https://github.com/ipython/ipython/issues/8133 and
+https://github.com/matplotlib/matplotlib/issues/4349 ), however this
+means that the svg output is no longer deterministic if the same
+figure is saved twice.  It is not expected that this will affect any
+users as the current ids are generated from an md5 hash of properties
+of the clip path and any user would have a very difficult time
+anticipating the value of the id.
+
+Changed snap threshold for circle markers to inf
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When drawing circle markers above some marker size (previously 6.0)
+the path used to generate the marker was snapped to pixel centers.  However,
+this ends up distorting the marker away from a circle.  By setting the
+snap threshold to inf snapping is never done on circles.
+
+This change broke several tests, but is an improvement.
+
+Preserve units with Text position
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously the 'get_position' method on Text would strip away unit information
+even though the units were still present.  There was no inherent need to do
+this, so it has been changed so that unit data (if present) will be preserved.
+Essentially a call to 'get_position' will return the exact value from a call to
+'set_position'.
+
+If you wish to get the old behaviour, then you can use the new method called
+'get_unitless_position'.
+
+New API for custom Axes view changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Interactive pan and zoom were previously implemented using a Cartesian-specific
+algorithm that was not necessarily applicable to custom Axes. Three new private
+methods, ``matplotlib.axes._base._AxesBase._get_view``,
+``matplotlib.axes._base._AxesBase._set_view``, and
+``matplotlib.axes._base._AxesBase._set_view_from_bbox``, allow for custom
+*Axes* classes to override the pan and zoom algorithms. Implementors of
+custom *Axes* who override these methods may provide suitable behaviour for
+both pan and zoom as well as the view navigation buttons on the interactive
+toolbars.
+
+MathTex visual changes
+----------------------
+
+The spacing commands in mathtext have been changed to more closely
+match vanilla TeX.
+
+
+Improved spacing in mathtext
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The extra space that appeared after subscripts and superscripts has
+been removed.
+
+No annotation coordinates wrap
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In #2351 for 1.4.0 the behavior of ['axes points', 'axes pixel',
+'figure points', 'figure pixel'] as coordinates was change to
+no longer wrap for negative values.  In 1.4.3 this change was
+reverted for 'axes points' and 'axes pixel' and in addition caused
+'axes fraction' to wrap.  For 1.5 the behavior has been reverted to
+as it was in 1.4.0-1.4.2, no wrapping for any type of coordinate.
+
+Deprecation
+-----------
+
+Deprecated ``GraphicsContextBase.set_graylevel``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``GraphicsContextBase.set_graylevel`` function has been deprecated in 1.5
+and will be removed in 1.6.  It has been unused.  The
+`.GraphicsContextBase.set_foreground` could be used instead.
+
+deprecated idle_event
+~~~~~~~~~~~~~~~~~~~~~
+
+The ``idle_event`` was broken or missing in most backends and causes spurious
+warnings in some cases, and its use in creating animations is now obsolete due
+to the animations module. Therefore code involving it has been removed from all
+but the wx backend (where it partially works), and its use is deprecated.  The
+`.animation` module may be used instead to create animations.
+
+``color_cycle`` deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In light of the new property cycling feature,
+the Axes method ``set_color_cycle`` is now deprecated.
+Calling this method will replace the current property cycle with
+one that cycles just the given colors.
+
+Similarly, the rc parameter *axes.color_cycle* is also deprecated in
+lieu of the new :rc:`axes.prop_cycle` parameter. Having both parameters in
+the same rc file is not recommended as the result cannot be
+predicted. For compatibility, setting *axes.color_cycle* will
+replace the cycler in :rc:`axes.prop_cycle` with a color cycle.
+Accessing *axes.color_cycle* will return just the color portion
+of the property cycle, if it exists.
+
+Timeline for removal has not been set.
+
+
+Bundled jquery
+--------------
+
+The version of jquery bundled with the webagg backend has been upgraded
+from 1.7.1 to 1.11.3.  If you are using the version of jquery bundled
+with webagg you will need to update your html files as such
+
+.. code-block:: diff
+
+   -    <script src="_static/jquery/js/jquery-1.7.1.min.js"></script>
+   +    <script src="_static/jquery/js/jquery-1.11.3.min.js"></script>
+
+
+Code Removed
+------------
+
+Removed ``Image`` from main namespace
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Image`` was imported from PIL/pillow to test if PIL is available, but
+there is no reason to keep ``Image`` in the namespace once the availability
+has been determined.
+
+Removed ``lod`` from Artist
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Removed the method ``set_lod`` and all references to the attribute ``_lod`` as
+they are not used anywhere else in the code base.  It appears to be a feature
+stub that was never built out.
+
+Removed threading related classes from cbook
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The classes ``Scheduler``, ``Timeout``, and ``Idle`` were in cbook, but
+are not used internally.  They appear to be a prototype for the idle event
+system which was not working and has recently been pulled out.
+
+Removed *Lena* images from sample_data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``lena.png`` and ``lena.jpg`` images have been removed from
+Matplotlib's sample_data directory. The images are also no longer
+available from `matplotlib.cbook.get_sample_data`. We suggest using
+``matplotlib.cbook.get_sample_data('grace_hopper.png')`` or
+``matplotlib.cbook.get_sample_data('grace_hopper.jpg')`` instead.
+
+
+Legend
+~~~~~~
+Removed handling of *loc* as a positional argument to `.Legend`
+
+
+Legend handlers
+~~~~~~~~~~~~~~~
+Remove code to allow legend handlers to be callable.  They must now
+implement a method ``legend_artist``.
+
+
+Axis
+~~~~
+Removed method ``set_scale``.  This is now handled via a private method which
+should not be used directly by users.  It is called via ``Axes.set_{x,y}scale``
+which takes care of ensuring the related changes are also made to the Axes
+object.
+
+finance.py
+~~~~~~~~~~
+
+Removed functions with ambiguous argument order from finance.py
+
+
+Annotation
+~~~~~~~~~~
+
+Removed ``textcoords`` and ``xytext`` proprieties from Annotation objects.
+
+
+sphinxext.ipython_*.py
+~~~~~~~~~~~~~~~~~~~~~~
+
+Both ``ipython_console_highlighting`` and ``ipython_directive`` have been
+moved to IPython.
+
+Change your import from ``matplotlib.sphinxext.ipython_directive`` to
+``IPython.sphinxext.ipython_directive`` and from
+``matplotlib.sphinxext.ipython_directive`` to
+``IPython.sphinxext.ipython_directive``
+
+
+LineCollection.color
+~~~~~~~~~~~~~~~~~~~~
+
+Deprecated in 2005, use ``set_color``
+
+
+remove ``'faceted'`` as a valid value for *shading* in ``tri.tripcolor``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Use *edgecolor* instead.  Added validation on *shading* to only be valid
+values.
+
+
+Remove ``faceted`` kwarg from scatter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Remove support for the ``faceted`` kwarg.  This was deprecated in
+d48b34288e9651ff95c3b8a071ef5ac5cf50bae7 (2008-04-18!) and replaced by
+``edgecolor``.
+
+
+Remove ``set_colorbar`` method from ``ScalarMappable``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Remove ``set_colorbar`` method, use `~.cm.ScalarMappable.colorbar` attribute
+directly.
+
+
+patheffects.svg
+~~~~~~~~~~~~~~~
+
+- remove ``get_proxy_renderer`` method from ``AbstractPathEffect`` class
+- remove ``patch_alpha`` and ``offset_xy`` from ``SimplePatchShadow``
+
+
+Remove ``testing.image_util.py``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Contained only a no-longer used port of functionality from PIL
+
+
+Remove ``mlab.FIFOBuffer``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Not used internally and not part of core mission of mpl.
+
+
+Remove ``mlab.prepca``
+~~~~~~~~~~~~~~~~~~~~~~
+Deprecated in 2009.
+
+
+Remove ``NavigationToolbar2QTAgg``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Added no functionality over the base ``NavigationToolbar2Qt``
+
+
+mpl.py
+~~~~~~
+
+Remove the module ``matplotlib.mpl``.  Deprecated in 1.3 by
+PR #1670 and commit 78ce67d161625833cacff23cfe5d74920248c5b2
diff --git a/doc/api/prev_api_changes/api_changes_1.5.2.rst b/doc/api/prev_api_changes/api_changes_1.5.2.rst
new file mode 100644
index 000000000000..85c504fa6f12
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.5.2.rst
@@ -0,0 +1,17 @@
+API Changes in 1.5.2
+====================
+
+
+Default Behavior Changes
+------------------------
+
+Changed default ``autorange`` behavior in boxplots
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Prior to v1.5.2, the whiskers of boxplots would extend to the minimum
+and maximum values if the quartiles were all equal (i.e., Q1 = median
+= Q3). This behavior has been disabled by default to restore consistency
+with other plotting packages.
+
+To restore the old behavior, simply set ``autorange=True`` when
+calling ``plt.boxplot``.
diff --git a/doc/api/prev_api_changes/api_changes_1.5.3.rst b/doc/api/prev_api_changes/api_changes_1.5.3.rst
new file mode 100644
index 000000000000..ff5d6a9cf996
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_1.5.3.rst
@@ -0,0 +1,26 @@
+API Changes in 1.5.3
+====================
+
+``ax.plot(..., marker=None)`` gives default marker
+--------------------------------------------------
+
+Prior to 1.5.3 keyword arguments passed to `~matplotlib.axes.Axes.plot` were
+handled in two parts -- default keyword arguments generated internal to
+`~matplotlib.axes.Axes.plot` (such as the cycled styles) and user supplied
+keyword arguments.  The internally generated keyword arguments were passed to
+the `matplotlib.lines.Line2D` and the user keyword arguments were passed to
+``ln.set(**kwargs)`` to update the artist after it was created.  Now both sets
+of keyword arguments are merged and passed to `~matplotlib.lines.Line2D`.  This
+change was made to allow *None* to be passed in via the user keyword arguments
+to mean 'do the default thing' as is the convention through out Matplotlib
+rather than raising an exception.
+
+Unlike most `~matplotlib.lines.Line2D` setter methods
+`~matplotlib.lines.Line2D.set_marker` did accept `None` as a valid
+input which was mapped to 'no marker'.  Thus, by routing this
+``marker=None`` through ``__init__`` rather than ``set(...)`` the meaning
+of ``ax.plot(..., marker=None)`` changed from 'no markers' to 'default markers
+from rcparams'.
+
+This is change is only evident if ``mpl.rcParams['lines.marker']`` has a value
+other than ``'None'`` (which is string ``'None'`` which means 'no marker').
diff --git a/doc/api/prev_api_changes/api_changes_2.0.0.rst b/doc/api/prev_api_changes/api_changes_2.0.0.rst
new file mode 100644
index 000000000000..08f6a176963b
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.0.0.rst
@@ -0,0 +1,205 @@
+
+API Changes in 2.0.0
+====================
+
+Deprecation and removal
+-----------------------
+
+Color of Axes
+~~~~~~~~~~~~~
+The ``axisbg`` and ``axis_bgcolor`` properties on *Axes* have been
+deprecated in favor of ``facecolor``.
+
+GTK and GDK backends deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The GDK and GTK backends have been deprecated. These obsolete backends
+allow figures to be rendered via the GDK API to files and GTK2 figures.
+They are untested and known to be broken, and their use has been
+discouraged for some time.  Instead, use the ``GTKAgg`` and ``GTKCairo``
+backends for rendering to GTK2 windows.
+
+WX backend deprecated
+~~~~~~~~~~~~~~~~~~~~~
+The WX backend has been deprecated.  It is untested, and its
+use has been discouraged for some time. Instead, use the ``WXAgg``
+backend for rendering figures to WX windows.
+
+CocoaAgg backend removed
+~~~~~~~~~~~~~~~~~~~~~~~~
+The deprecated and not fully functional CocoaAgg backend has been removed.
+
+`round` removed from TkAgg Backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The TkAgg backend had its own implementation of the `round` function. This
+was unused internally and has been removed. Instead, use either the
+`round` builtin function or `numpy.around`.
+
+.. _v200_deprecate_hold:
+
+'hold' functionality deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The 'hold' keyword argument and all functions and methods related
+to it are deprecated, along with the ``axes.hold`` rcParams entry.
+The behavior will remain consistent with the default ``hold=True``
+state that has long been in place.  Instead of using a function
+or keyword argument (``hold=False``) to change that behavior,
+explicitly clear the axes or figure as needed prior to subsequent
+plotting commands.
+
+
+`.Artist.update` has return value
+---------------------------------
+
+The methods `matplotlib.artist.Artist.set`, `matplotlib.artist.Artist.update`,
+and the function `matplotlib.artist.setp` now use a common codepath to look up
+how to update the given artist properties (either using the setter methods or
+an attribute/property).
+
+The behavior of `matplotlib.artist.Artist.update` is slightly changed to return
+a list of the values returned from the setter methods to avoid changing the API
+of `matplotlib.artist.Artist.set` and `matplotlib.artist.setp`.
+
+The keys passed into `matplotlib.artist.Artist.update` are now converted to
+lower case before being processed, to match the behavior of
+`matplotlib.artist.Artist.set` and `matplotlib.artist.setp`.  This should not
+break any user code because there are no set methods with capitals in
+their names, but this puts a constraint on naming properties in the future.
+
+
+`.Legend` initializers gain *edgecolor* and *facecolor* keyword arguments
+-------------------------------------------------------------------------
+
+The :class:`~matplotlib.legend.Legend` background patch (or 'frame')
+can have its ``edgecolor`` and ``facecolor`` determined by the
+corresponding keyword arguments to the :class:`matplotlib.legend.Legend`
+initializer, or to any of the methods or functions that call that
+initializer.  If left to their default values of `None`, their values
+will be taken from ``matplotlib.rcParams``.  The previously-existing
+``framealpha`` kwarg still controls the alpha transparency of the
+patch.
+
+
+Qualitative colormaps
+---------------------
+
+Colorbrewer's qualitative/discrete colormaps ("Accent", "Dark2", "Paired",
+"Pastel1", "Pastel2", "Set1", "Set2", "Set3") are now implemented as
+`.ListedColormap` instead of `.LinearSegmentedColormap`.
+
+To use these for images where categories are specified as integers, for
+instance, use::
+
+    plt.imshow(x, cmap='Dark2', norm=colors.NoNorm())
+
+
+Change in the ``draw_image`` backend API
+----------------------------------------
+
+The ``draw_image`` method implemented by backends has changed its interface.
+
+This change is only relevant if the backend declares that it is able
+to transform images by returning ``True`` from ``option_scale_image``.
+See the ``draw_image`` docstring for more information.
+
+
+
+``matplotlib.ticker.LinearLocator`` algorithm update
+----------------------------------------------------
+
+The `matplotlib.ticker.LinearLocator` is used to define the range and
+location of axis ticks when the user wants an exact number of ticks.
+``LinearLocator`` thus differs from the default locator ``MaxNLocator``,
+for which the user specifies a maximum number of intervals rather than
+a precise number of ticks.
+
+The view range algorithm in ``matplotlib.ticker.LinearLocator`` has been
+changed so that more convenient tick locations are chosen. The new algorithm
+returns a plot view range that is a multiple of the user-requested number of
+ticks. This ensures tick marks will be located at whole integers more
+consistently. For example, when both y-axes of a``twinx`` plot use
+``matplotlib.ticker.LinearLocator`` with the same number of ticks,
+their y-tick locations and grid lines will coincide.
+
+`matplotlib.ticker.LogLocator` gains numticks kwarg
+---------------------------------------------------
+
+The maximum number of ticks generated by the
+`~matplotlib.ticker.LogLocator` can now be controlled explicitly
+via setting the new 'numticks' kwarg to an integer.  By default
+the kwarg is None which internally sets it to the 'auto' string,
+triggering a new algorithm for adjusting the maximum according
+to the axis length relative to the ticklabel font size.
+
+`matplotlib.ticker.LogFormatter`: two new kwargs
+------------------------------------------------
+
+Previously, minor ticks on log-scaled axes were not labeled by
+default.  An algorithm has been added to the
+`~matplotlib.ticker.LogFormatter` to control the labeling of
+ticks between integer powers of the base.  The algorithm uses
+two parameters supplied in a kwarg tuple named 'minor_thresholds'.
+See the docstring for further explanation.
+
+To improve support for axes using `~matplotlib.ticker.SymmetricalLogLocator`,
+a *linthresh* keyword argument was added.
+
+
+New defaults for 3D quiver function in mpl_toolkits.mplot3d.axes3d.py
+---------------------------------------------------------------------
+
+Matplotlib has both a 2D and a 3D ``quiver`` function. These changes
+affect only the 3D function and make the default behavior of the 3D
+function match the 2D version. There are two changes:
+
+1) The 3D quiver function previously normalized the arrows to be the
+   same length, which makes it unusable for situations where the
+   arrows should be different lengths and does not match the behavior
+   of the 2D function. This normalization behavior is now controlled
+   with the ``normalize`` keyword, which defaults to False.
+
+2) The ``pivot`` keyword now defaults to ``tail`` instead of
+   ``tip``. This was done in order to match the default behavior of
+   the 2D quiver function.
+
+To obtain the previous behavior with the 3D quiver function, one can
+call the function with ::
+
+   ax.quiver(x, y, z, u, v, w, normalize=True, pivot='tip')
+
+where "ax" is an ``Axes3d`` object created with something like ::
+
+   import mpl_toolkits.mplot3d.axes3d
+   ax = plt.subplot(111, projection='3d')
+
+
+Stale figure behavior
+---------------------
+
+Attempting to draw the figure will now mark it as not stale (independent if
+the draw succeeds).  This change is to prevent repeatedly trying to re-draw a
+figure which is raising an error on draw.  The previous behavior would only mark
+a figure as not stale after a full re-draw succeeded.
+
+
+The spectral colormap is now nipy_spectral
+------------------------------------------
+
+The colormaps formerly known as ``spectral`` and ``spectral_r`` have been
+replaced by ``nipy_spectral`` and ``nipy_spectral_r`` since Matplotlib
+1.3.0. Even though the colormap was deprecated in Matplotlib 1.3.0, it never
+raised a warning. As of Matplotlib 2.0.0, using the old names raises a
+deprecation warning. In the future, using the old names will raise an error.
+
+Default install no longer includes test images
+----------------------------------------------
+
+To reduce the size of wheels and source installs, the tests and
+baseline images are no longer included by default.
+
+To restore installing the tests and images, use a :file:`setup.cfg` with ::
+
+   [packages]
+   tests = True
+   toolkits_tests = True
+
+in the source directory at build/install time.
diff --git a/doc/api/prev_api_changes/api_changes_2.0.1.rst b/doc/api/prev_api_changes/api_changes_2.0.1.rst
new file mode 100644
index 000000000000..57f149f6b3f7
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.0.1.rst
@@ -0,0 +1,63 @@
+
+API Changes in 2.0.1
+====================
+
+Extensions to `matplotlib.backend_bases.GraphicsContextBase`
+------------------------------------------------------------
+
+To better support controlling the color of hatches, the method
+`matplotlib.backend_bases.GraphicsContextBase.set_hatch_color` was
+added to the expected API of ``GraphicsContext`` classes.  Calls to
+this method are currently wrapped with a ``try:...except Attribute:``
+block to preserve back-compatibility with any third-party backends
+which do not extend `~matplotlib.backend_bases.GraphicsContextBase`.
+
+This value can be accessed in the backends via
+`matplotlib.backend_bases.GraphicsContextBase.get_hatch_color` (which
+was added in 2.0 see :ref:`gc_get_hatch_color_wn`) and should be used
+to color the hatches.
+
+In the future there may also be ``hatch_linewidth`` and
+``hatch_density`` related methods added.  It is encouraged, but not
+required that third-party backends extend
+`~matplotlib.backend_bases.GraphicsContextBase` to make adapting to
+these changes easier.
+
+
+``afm.get_fontconfig_fonts`` returns a list of paths and does not check for existence
+-------------------------------------------------------------------------------------
+
+``afm.get_fontconfig_fonts`` used to return a set of paths encoded as a
+``{key: 1, ...}`` dict, and checked for the existence of the paths.  It now
+returns a list and dropped the existence check, as the same check is performed
+by the caller (``afm.findSystemFonts``) as well.
+
+
+``bar`` now returns rectangles of negative height or width if the corresponding input is negative
+-------------------------------------------------------------------------------------------------
+
+`.pyplot.bar` used to normalize the coordinates of the rectangles that it
+created, to keep their height and width positives, even if the corresponding
+input was negative.  This normalization has been removed to permit a simpler
+computation of the correct `.Artist.sticky_edges` to use.
+
+
+Do not clip line width when scaling dashes
+------------------------------------------
+
+The algorithm to scale dashes was changed to no longer clip the
+scaling factor: the dash patterns now continue to shrink at thin line widths.
+If the line width is smaller than the effective pixel size, this may result in
+dashed lines turning into solid gray-ish lines.  This also required slightly
+tweaking the default patterns for '--', ':', and '.-' so that with the default
+line width the final patterns would not change.
+
+There is no way to restore the old behavior.
+
+
+Deprecate 'Vega' colormaps
+--------------------------
+
+The "Vega" colormaps are deprecated in Matplotlib 2.0.1 and will be
+removed in Matplotlib 2.2. Use the "tab" colormaps instead: "tab10",
+"tab20", "tab20b", "tab20c".
diff --git a/doc/api/prev_api_changes/api_changes_2.1.0.rst b/doc/api/prev_api_changes/api_changes_2.1.0.rst
new file mode 100644
index 000000000000..7d72d95783bb
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.1.0.rst
@@ -0,0 +1,446 @@
+
+
+API Changes in 2.1.0
+====================
+
+
+Default behavior of log scales changed to mask <= 0 values
+----------------------------------------------------------
+
+Calling `matplotlib.axes.Axes.set_xscale` or `matplotlib.axes.Axes.set_yscale`
+now uses 'mask' as the default method to handle invalid values (as opposed to
+'clip'). This means that any values <= 0 on a log scale will not be shown.
+
+Previously they were clipped to a very small number and shown.
+
+
+:meth:`matplotlib.cbook.CallbackRegistry.process` suppresses exceptions by default
+----------------------------------------------------------------------------------
+
+Matplotlib uses instances of :obj:`~matplotlib.cbook.CallbackRegistry`
+as a bridge between user input event from the GUI and user callbacks.
+Previously, any exceptions raised in a user call back would bubble out
+of the ``process`` method, which is typically in the GUI event
+loop.  Most GUI frameworks simple print the traceback to the screen
+and continue as there is not always a clear method of getting the
+exception back to the user.  However PyQt5 now exits the process when
+it receives an un-handled python exception in the event loop.  Thus,
+:meth:`~matplotlib.cbook.CallbackRegistry.process` now suppresses and
+prints tracebacks to stderr by default.
+
+What :meth:`~matplotlib.cbook.CallbackRegistry.process` does with exceptions
+is now user configurable via the ``exception_handler`` attribute and kwarg.  To
+restore the previous behavior pass ``None`` ::
+
+  cb = CallbackRegistry(exception_handler=None)
+
+
+A function which take and ``Exception`` as its only argument may also be passed ::
+
+  def maybe_reraise(exc):
+      if isinstance(exc, RuntimeError):
+          pass
+      else:
+          raise exc
+
+  cb = CallbackRegistry(exception_handler=maybe_reraise)
+
+
+
+Improved toggling of the axes grids
+-----------------------------------
+
+The ``g`` key binding now switches the states of the ``x`` and ``y`` grids
+independently (by cycling through all four on/off combinations).
+
+The new ``G`` key binding switches the states of the minor grids.
+
+Both bindings are disabled if only a subset of the grid lines (in either
+direction) is visible, to avoid making irreversible changes to the figure.
+
+
+Ticklabels are turned off instead of being invisible
+----------------------------------------------------
+
+Internally, the `.Tick`'s ``~matplotlib.axis.Tick.label1On`` attribute
+is now used to hide tick labels instead of setting the visibility on the tick
+label objects.
+This improves overall performance and fixes some issues.
+As a consequence, in case those labels ought to be shown,
+:func:`~matplotlib.axes.Axes.tick_params`
+needs to be used, e.g.
+
+::
+
+    ax.tick_params(labelbottom=True)
+
+
+Removal of warning on empty legends
+-----------------------------------
+
+`.pyplot.legend` used to issue a warning when no labeled artist could be
+found.  This warning has been removed.
+
+
+More accurate legend autopositioning
+------------------------------------
+
+Automatic positioning of legends now prefers using the area surrounded
+by a `.Line2D` rather than placing the legend over the line itself.
+
+
+Cleanup of stock sample data
+----------------------------
+
+The sample data of stocks has been cleaned up to remove redundancies and
+increase portability. The ``AAPL.dat.gz``, ``INTC.dat.gz`` and ``aapl.csv``
+files have been removed entirely and will also no longer be available from
+`matplotlib.cbook.get_sample_data`. If a CSV file is required, we suggest using
+the ``msft.csv`` that continues to be shipped in the sample data. If a NumPy
+binary file is acceptable, we suggest using one of the following two new files.
+The ``aapl.npy.gz`` and ``goog.npy`` files have been replaced by ``aapl.npz``
+and ``goog.npz``, wherein the first column's type has changed from
+`datetime.date` to `numpy.datetime64` for better portability across Python
+versions. Note that Matplotlib does not fully support `numpy.datetime64` as
+yet.
+
+
+Updated qhull to 2015.2
+-----------------------
+
+The version of qhull shipped with Matplotlib, which is used for
+Delaunay triangulation, has been updated from version 2012.1 to
+2015.2.
+
+Improved Delaunay triangulations with large offsets
+---------------------------------------------------
+
+Delaunay triangulations now deal with large x,y offsets in a better
+way. This can cause minor changes to any triangulations calculated
+using Matplotlib, i.e. any use of `matplotlib.tri.Triangulation` that
+requests that a Delaunay triangulation is calculated, which includes
+`matplotlib.pyplot.tricontour`, `matplotlib.pyplot.tricontourf`,
+`matplotlib.pyplot.tripcolor`, `matplotlib.pyplot.triplot`,
+``matplotlib.mlab.griddata`` and
+`mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`.
+
+
+
+Use ``backports.functools_lru_cache`` instead of ``functools32``
+----------------------------------------------------------------
+
+It's better maintained and more widely used (by pylint, jaraco, etc).
+
+
+
+``cbook.is_numlike`` only performs an instance check
+----------------------------------------------------
+
+``matplotlib.cbook.is_numlike`` now only checks that its argument
+is an instance of ``(numbers.Number, np.Number)``.  In particular,
+this means that arrays are now not num-like.
+
+
+
+Elliptical arcs now drawn between correct angles
+------------------------------------------------
+
+The `matplotlib.patches.Arc` patch is now correctly drawn between the given
+angles.
+
+Previously a circular arc was drawn and then stretched into an ellipse,
+so the resulting arc did not lie between *theta1* and *theta2*.
+
+
+
+``-d$backend`` no longer sets the backend
+-----------------------------------------
+
+It is no longer possible to set the backend by passing ``-d$backend``
+at the command line.  Use the ``MPLBACKEND`` environment variable
+instead.
+
+
+Path.intersects_bbox always treats the bounding box as filled
+-------------------------------------------------------------
+
+Previously, when ``Path.intersects_bbox`` was called with ``filled`` set to
+``False``, it would treat both the path and the bounding box as unfilled. This
+behavior was not well documented and it is usually not the desired behavior,
+since bounding boxes are used to represent more complex shapes located inside
+the bounding box. This behavior has now been changed: when ``filled`` is
+``False``, the path will be treated as unfilled, but the bounding box is still
+treated as filled. The old behavior was arguably an implementation bug.
+
+When ``Path.intersects_bbox`` is called with ``filled`` set to ``True``
+(the default value), there is no change in behavior. For those rare cases where
+``Path.intersects_bbox`` was called with ``filled`` set to ``False`` and where
+the old behavior is actually desired, the suggested workaround is to call
+``Path.intersects_path`` with a rectangle as the path::
+
+    from matplotlib.path import Path
+    from matplotlib.transforms import Bbox, BboxTransformTo
+    rect = Path.unit_rectangle().transformed(BboxTransformTo(bbox))
+    result = path.intersects_path(rect, filled=False)
+
+
+
+
+WX no longer calls generates ``IdleEvent`` events or calls ``idle_event``
+-------------------------------------------------------------------------
+
+Removed unused private method ``_onIdle`` from ``FigureCanvasWx``.
+
+The ``IdleEvent`` class and ``FigureCanvasBase.idle_event`` method
+will be removed in 2.2
+
+
+
+Correct scaling of ``magnitude_spectrum()``
+-------------------------------------------
+
+The functions :func:`matplotlib.mlab.magnitude_spectrum()` and :func:`matplotlib.pyplot.magnitude_spectrum()` implicitly assumed the sum
+of windowing function values to be one. In Matplotlib and Numpy the
+standard windowing functions are scaled to have maximum value of one,
+which usually results in a sum of the order of n/2 for a n-point
+signal. Thus the amplitude scaling ``magnitude_spectrum()`` was
+off by that amount when using standard windowing functions (`Bug 8417
+<https://github.com/matplotlib/matplotlib/issues/8417>`_ ). Now the
+behavior is consistent with :func:`matplotlib.pyplot.psd()` and
+:func:`scipy.signal.welch()`. The following example demonstrates the
+new and old scaling::
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    tau, n = 10, 1024  # 10 second signal with 1024 points
+    T = tau/n  # sampling interval
+    t = np.arange(n)*T
+
+    a = 4  # amplitude
+    x = a*np.sin(40*np.pi*t)  # 20 Hz sine with amplitude a
+
+    # New correct behavior: Amplitude at 20 Hz is a/2
+    plt.magnitude_spectrum(x, Fs=1/T, sides='onesided', scale='linear')
+
+    # Original behavior: Amplitude at 20 Hz is (a/2)*(n/2) for a Hanning window
+    w = np.hanning(n)  # default window is a Hanning window
+    plt.magnitude_spectrum(x*np.sum(w), Fs=1/T, sides='onesided', scale='linear')
+
+
+
+
+
+Change to signatures of :meth:`~matplotlib.axes.Axes.bar` & :meth:`~matplotlib.axes.Axes.barh`
+----------------------------------------------------------------------------------------------
+
+For 2.0 the :ref:`default value of *align* <barbarh_align>` changed to
+``'center'``.  However this caused the signature of
+:meth:`~matplotlib.axes.Axes.bar` and
+:meth:`~matplotlib.axes.Axes.barh` to be misleading as the first parameters were
+still *left* and *bottom* respectively::
+
+  bar(left, height, *, align='center', **kwargs)
+  barh(bottom, width, *, align='center', **kwargs)
+
+despite behaving as the center in both cases. The methods now take
+``*args, **kwargs`` as input and are documented to have the primary
+signatures of::
+
+  bar(x, height, *, align='center', **kwargs)
+  barh(y, width, *, align='center', **kwargs)
+
+Passing *left* and *bottom* as keyword arguments to
+:meth:`~matplotlib.axes.Axes.bar` and
+:meth:`~matplotlib.axes.Axes.barh` respectively will warn.
+Support will be removed in Matplotlib 3.0.
+
+
+Font cache as json
+------------------
+
+The font cache is now saved as json, rather than a pickle.
+
+
+Invalid (Non-finite) Axis Limit Error
+-------------------------------------
+
+When using :func:`~matplotlib.axes.Axes.set_xlim` and
+:func:`~matplotlib.axes.Axes.set_ylim`, passing non-finite values now
+results in a ``ValueError``. The previous behavior resulted in the
+limits being erroneously reset to ``(-0.001, 0.001)``.
+
+``scatter`` and ``Collection`` offsets are no longer implicitly flattened
+-------------------------------------------------------------------------
+
+`~matplotlib.collections.Collection` (and thus both 2D
+`~matplotlib.axes.Axes.scatter` and 3D
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.scatter`) no
+longer implicitly flattens its offsets.  As a consequence, ``scatter``'s ``x``
+and ``y`` arguments can no longer be 2+-dimensional arrays.
+
+Deprecations
+------------
+
+``GraphicsContextBase``\'s ``linestyle`` property.
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``GraphicsContextBase.get_linestyle`` and
+``GraphicsContextBase.set_linestyle`` methods, which had no effect,
+have been deprecated.  All of the backends Matplotlib ships use
+``GraphicsContextBase.get_dashes`` and
+``GraphicsContextBase.set_dashes`` which are more general.
+Third-party backends should also migrate to the ``*_dashes`` methods.
+
+
+``NavigationToolbar2.dynamic_update``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Use `~.FigureCanvasBase.draw_idle` method on the ``Canvas`` instance instead.
+
+
+Testing
+~~~~~~~
+
+``matplotlib.testing.noseclasses`` is deprecated and will be removed in 2.3
+
+
+``EngFormatter`` *num* arg as string
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing a string as *num* argument when calling an instance of
+`matplotlib.ticker.EngFormatter` is deprecated and will be removed in 2.3.
+
+
+``mpl_toolkits.axes_grid`` module
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+All functionally from ``mpl_toolkits.axes_grid`` can be found in either
+`mpl_toolkits.axes_grid1` or `mpl_toolkits.axisartist`. Axes classes
+from ``mpl_toolkits.axes_grid`` based on ``Axis`` from
+`mpl_toolkits.axisartist` can be found in `mpl_toolkits.axisartist`.
+
+
+``Axes`` collision in ``Figure.add_axes``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Adding an axes instance to a figure by using the same arguments as for
+a previous axes instance currently reuses the earlier instance.  This
+behavior has been deprecated in Matplotlib 2.1. In a future version, a
+*new* instance will always be created and returned.  Meanwhile, in such
+a situation, a deprecation warning is raised by
+``matplotlib.figure.AxesStack``.
+
+This warning can be suppressed, and the future behavior ensured, by passing
+a *unique* label to each axes instance.  See the docstring of
+:meth:`~matplotlib.figure.Figure.add_axes` for more information.
+
+Additional details on the rationale behind this deprecation can be found
+in :ghissue:`7377` and :ghissue:`9024`.
+
+
+Former validators for ``contour.negative_linestyle``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+The former public validation functions ``validate_negative_linestyle``
+and ``validate_negative_linestyle_legacy`` will be deprecated in 2.1 and
+may be removed in 2.3. There are no public functions to replace them.
+
+
+
+``cbook``
+~~~~~~~~~
+
+Many unused or near-unused :mod:`matplotlib.cbook` functions and
+classes have been deprecated: ``converter``, ``tostr``,
+``todatetime``, ``todate``, ``tofloat``, ``toint``, ``unique``,
+``is_string_like``, ``is_sequence_of_strings``, ``is_scalar``,
+``Sorter``, ``Xlator``, ``soundex``, ``Null``, ``dict_delall``,
+``RingBuffer``, ``get_split_ind``, ``wrap``,
+``get_recursive_filelist``, ``pieces``, ``exception_to_str``,
+``allequal``, ``alltrue``, ``onetrue``, ``allpairs``, ``finddir``,
+``reverse_dict``, ``restrict_dict``, ``issubclass_safe``,
+``recursive_remove``, ``unmasked_index_ranges``.
+
+
+Code Removal
+------------
+
+qt4_compat.py
+~~~~~~~~~~~~~
+
+Moved to ``qt_compat.py``.  Renamed because it now handles Qt5 as well.
+
+
+Previously Deprecated methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``GraphicsContextBase.set_graylevel``, ``FigureCanvasBase.onHilite`` and
+``mpl_toolkits.axes_grid1.mpl_axes.Axes.toggle_axisline`` methods have been
+removed.
+
+The ``ArtistInspector.findobj`` method, which was never working due to the lack
+of a ``get_children`` method, has been removed.
+
+The deprecated ``point_in_path``, ``get_path_extents``,
+``point_in_path_collection``, ``path_intersects_path``,
+``convert_path_to_polygons``, ``cleanup_path`` and ``clip_path_to_rect``
+functions in the ``matplotlib.path`` module have been removed.  Their
+functionality remains exposed as methods on the ``Path`` class.
+
+The deprecated ``Artist.get_axes`` and ``Artist.set_axes`` methods
+have been removed
+
+
+The ``matplotlib.backends.backend_ps.seq_allequal`` function has been removed.
+Use ``np.array_equal`` instead.
+
+The deprecated ``matplotlib.rcsetup.validate_maskedarray``,
+``matplotlib.rcsetup.deprecate_savefig_extension`` and
+``matplotlib.rcsetup.validate_tkpythoninspect`` functions, and associated
+``savefig.extension`` and ``tk.pythoninspect`` rcparams entries have been
+removed.
+
+
+The keyword argument *resolution* of
+:class:`matplotlib.projections.polar.PolarAxes` has been removed. It
+has deprecation with no effect from version *0.98.x*.
+
+
+``Axes.set_aspect("normal")``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Support for setting an ``Axes``\'s aspect to ``"normal"`` has been
+removed, in favor of the synonym ``"auto"``.
+
+
+``shading`` kwarg to ``pcolor``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``shading`` kwarg to `~matplotlib.axes.Axes.pcolor` has been
+removed.  Set ``edgecolors`` appropriately instead.
+
+
+Functions removed from the ``lines`` module
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The :mod:`matplotlib.lines` module no longer imports the
+``pts_to_prestep``, ``pts_to_midstep`` and ``pts_to_poststep``
+functions from :mod:`matplotlib.cbook`.
+
+
+PDF backend functions
+~~~~~~~~~~~~~~~~~~~~~
+
+The methods ``embedTeXFont`` and ``tex_font_mapping`` of
+:class:`matplotlib.backends.backend_pdf.PdfFile` have been removed.  It is
+unlikely that external users would have called these methods, which
+are related to the font system internal to the PDF backend.
+
+
+matplotlib.delaunay
+~~~~~~~~~~~~~~~~~~~
+
+Remove the delaunay triangulation code which is now handled by Qhull
+via :mod:`matplotlib.tri`.
diff --git a/doc/api/prev_api_changes/api_changes_2.1.1.rst b/doc/api/prev_api_changes/api_changes_2.1.1.rst
new file mode 100644
index 000000000000..39ebbb635373
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.1.1.rst
@@ -0,0 +1,13 @@
+API Changes in 2.1.1
+====================
+
+Default behavior of log scales reverted to clip <= 0 values
+-----------------------------------------------------------
+
+The change it 2.1.0 to mask in logscale by default had more disruptive
+changes than anticipated and has been reverted, however the clipping is now
+done in a way that fixes the issues that motivated changing the default behavior
+to ``'mask'``.
+
+As a side effect of this change, error bars which go negative now work as expected
+on log scales.
diff --git a/doc/api/prev_api_changes/api_changes_2.1.2.rst b/doc/api/prev_api_changes/api_changes_2.1.2.rst
new file mode 100644
index 000000000000..92a72523443d
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.1.2.rst
@@ -0,0 +1,23 @@
+
+API Changes in 2.1.2
+====================
+
+`.Figure.legend` no longer checks for repeated lines to ignore
+--------------------------------------------------------------
+
+`matplotlib.figure.Figure.legend` used to check if a line had the
+same label as an existing legend entry. If it also had the same line color
+or marker color legend didn't add a new entry for that line. However, the
+list of conditions was incomplete, didn't handle RGB tuples,
+didn't handle linewidths or linestyles etc.
+
+This logic did not exist in `.axes.Axes.legend`.  It was included (erroneously)
+in Matplotlib 2.1.1 when the legend argument parsing was unified :ghpull:`9324`.  
+This change removes that check in `.axes.Axes.legend` again to restore the old 
+behavior.
+
+This logic has also been dropped from `.Figure.legend`, where it
+was previously undocumented. Repeated
+lines with the same label will now each have an entry in the legend.  If
+you do not want the duplicate entries, don't add a label to the line, or
+prepend the label with an underscore.
diff --git a/doc/api/prev_api_changes/api_changes_2.2.0.rst b/doc/api/prev_api_changes/api_changes_2.2.0.rst
new file mode 100644
index 000000000000..404d0ca3ba38
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_2.2.0.rst
@@ -0,0 +1,286 @@
+
+API Changes in 2.2.0
+====================
+
+
+
+New dependency
+--------------
+
+`kiwisolver <https://github.com/nucleic/kiwi>`__ is now a required
+dependency to support the new constrained_layout,  see
+:ref:`constrainedlayout_guide` for
+more details.
+
+
+Deprecations
+------------
+
+Classes, functions, and methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The unused and untested ``Artist.onRemove`` and ``Artist.hitlist`` methods have
+been deprecated.
+
+The now unused ``mlab.less_simple_linear_interpolation`` function is
+deprecated.
+
+The unused ``ContourLabeler.get_real_label_width`` method is deprecated.
+
+The unused ``FigureManagerBase.show_popup`` method is deprecated.  This
+introduced in e945059b327d42a99938b939a1be867fa023e7ba in 2005 but never built
+out into any of the backends.
+
+``backend_tkagg.AxisMenu`` is deprecated, as it has become unused since the
+removal of "classic" toolbars.
+
+
+Changed function signatures
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+kwarg ``fig`` to `.GridSpec.get_subplot_params` is
+deprecated,  use ``figure`` instead.
+
+Using `.pyplot.axes` with an `~matplotlib.axes.Axes` as argument is deprecated. This sets
+the current axes, i.e. it has the same effect as `.pyplot.sca`. For clarity
+``plt.sca(ax)`` should be preferred over ``plt.axes(ax)``.
+
+
+Using strings instead of booleans to control grid and tick visibility
+is deprecated.  Using ``"on"``, ``"off"``, ``"true"``, or ``"false"``
+to control grid and tick visibility has been deprecated.  Instead, use
+normal booleans (``True``/``False``) or boolean-likes.  In the future,
+all non-empty strings may be interpreted as ``True``.
+
+When given 2D inputs with non-matching numbers of columns, `~.pyplot.plot`
+currently cycles through the columns of the narrower input, until all the
+columns of the wider input have been plotted.  This behavior is deprecated; in
+the future, only broadcasting (1 column to *n* columns) will be performed.
+
+
+rcparams
+~~~~~~~~
+
+The ``backend.qt4`` and ``backend.qt5`` rcParams were deprecated
+in version 2.2.  In order to force the use of a specific Qt binding,
+either import that binding first, or set the ``QT_API`` environment
+variable.
+
+Deprecation of the ``nbagg.transparent`` rcParam.  To control
+transparency of figure patches in the nbagg (or any other) backend,
+directly set ``figure.patch.facecolor``, or the ``figure.facecolor``
+rcParam.
+
+Deprecated ``Axis.unit_data``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Use ``Axis.units`` (which has long existed) instead.
+
+
+Removals
+--------
+
+Function Signatures
+~~~~~~~~~~~~~~~~~~~
+
+Contouring no longer supports ``legacy`` corner masking.  The
+deprecated ``ContourSet.vmin`` and ``ContourSet.vmax`` properties have
+been removed.
+
+Passing ``None`` instead of ``"none"`` as format to `~.Axes.errorbar` is no
+longer supported.
+
+The ``bgcolor`` keyword argument to ``Axes`` has been removed.
+
+Modules, methods, and functions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``matplotlib.finance``, ``mpl_toolkits.exceltools`` and
+``mpl_toolkits.gtktools`` modules have been removed.  ``matplotlib.finance``
+remains available at https://github.com/matplotlib/mpl_finance.
+
+The ``mpl_toolkits.mplot3d.art3d.iscolor`` function has been removed.
+
+The ``Axes.get_axis_bgcolor``, ``Axes.set_axis_bgcolor``,
+``Bbox.update_from_data``, ``Bbox.update_datalim_numerix``,
+``MaxNLocator.bin_boundaries`` methods have been removed.
+
+``mencoder`` can no longer be used to encode animations.
+
+The unused ``FONT_SCALE`` and ``fontd`` attributes of the `.RendererSVG`
+class have been removed.
+
+colormaps
+~~~~~~~~~
+
+The ``spectral`` colormap has been removed.  The ``Vega*`` colormaps, which
+were aliases for the ``tab*`` colormaps, have been removed.
+
+
+rcparams
+~~~~~~~~
+
+The following deprecated rcParams have been removed:
+
+- ``axes.color_cycle`` (see ``axes.prop_cycle``),
+- ``legend.isaxes``,
+- ``svg.embed_char_paths`` (see ``svg.fonttype``),
+- ``text.fontstyle``, ``text.fontangle``, ``text.fontvariant``,
+  ``text.fontweight``, ``text.fontsize`` (renamed to ``text.style``, etc.),
+- ``tick.size`` (renamed to ``tick.major.size``).
+
+
+
+Only accept string-like for Categorical input
+---------------------------------------------
+
+Do not accept mixed string / float / int input, only
+strings are valid categoricals.
+
+Removal of unused imports
+-------------------------
+Many unused imports were removed from the codebase.  As a result,
+trying to import certain classes or functions from the "wrong" module
+(e.g. `~.Figure` from :mod:`matplotlib.backends.backend_agg` instead of
+:mod:`matplotlib.figure`) will now raise an `ImportError`.
+
+
+``Axes3D.get_xlim``, ``get_ylim`` and ``get_zlim`` now return a tuple
+---------------------------------------------------------------------
+
+They previously returned an array.  Returning a tuple is consistent with the
+behavior for 2D axes.
+
+
+Exception type changes
+----------------------
+
+If `.MovieWriterRegistry` can't find the requested `.MovieWriter`, a
+more helpful `RuntimeError` message is now raised instead of the
+previously raised `KeyError`.
+
+``matplotlib.tight_layout.auto_adjust_subplotpars`` now raises `ValueError`
+instead of `RuntimeError` when sizes of input lists don't match
+
+
+`.Figure.set_figwidth` and `.Figure.set_figheight` default *forward* to True
+----------------------------------------------------------------------------
+
+`matplotlib.figure.Figure.set_figwidth` and
+`matplotlib.figure.Figure.set_figheight` had the keyword argument
+``forward=False`` by default, but `.figure.Figure.set_size_inches` now defaults
+to ``forward=True``.  This makes these functions consistent.
+
+
+Do not truncate svg sizes to nearest point
+------------------------------------------
+
+There is no reason to size the SVG out put in integer points, change
+to out putting floats for the *height*, *width*, and *viewBox* attributes
+of the *svg* element.
+
+
+Fontsizes less than 1 pt are clipped to be 1 pt.
+------------------------------------------------
+
+FreeType doesn't allow fonts to get smaller than 1 pt, so all Agg
+backends were silently rounding up to 1 pt.  PDF (other vector
+backends?) were letting us write fonts that were less than 1 pt, but
+they could not be placed properly because position information comes from
+FreeType.  This change makes it so no backends can use fonts smaller than
+1 pt, consistent with FreeType and ensuring more consistent results across
+backends.
+
+
+
+Changes to Qt backend class MRO
+-------------------------------
+
+To support both Agg and cairo rendering for Qt backends all of the non-Agg
+specific code previously in ``backend_qt5agg.FigureCanvasQTAggBase`` has been
+moved to ``backend_qt5.FigureCanvasQT`` so it can be shared with the
+cairo implementation.  The ``FigureCanvasQTAggBase.paintEvent``,
+``FigureCanvasQTAggBase.blit``, and ``FigureCanvasQTAggBase.print_figure``
+methods have moved to ``FigureCanvasQTAgg.paintEvent``,
+``FigureCanvasQTAgg.blit``, and ``FigureCanvasQTAgg.print_figure``.
+The first two methods assume that the instance is also a ``QWidget`` so to use
+``FigureCanvasQTAggBase`` it was required to multiple inherit from a
+``QWidget`` sub-class.
+
+Having moved all of its methods either up or down the class hierarchy
+``FigureCanvasQTAggBase`` has been deprecated.  To do this without warning and
+to preserve as much API as possible, ``.backend_qt5agg.FigureCanvasQTAggBase``
+now inherits from ``backend_qt5.FigureCanvasQTAgg``.
+
+The MRO for ``FigureCanvasQTAgg`` and ``FigureCanvasQTAggBase`` used to
+be ::
+
+
+   [matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg,
+    matplotlib.backends.backend_qt5agg.FigureCanvasQTAggBase,
+    matplotlib.backends.backend_agg.FigureCanvasAgg,
+    matplotlib.backends.backend_qt5.FigureCanvasQT,
+    PyQt5.QtWidgets.QWidget,
+    PyQt5.QtCore.QObject,
+    sip.wrapper,
+    PyQt5.QtGui.QPaintDevice,
+    sip.simplewrapper,
+    matplotlib.backend_bases.FigureCanvasBase,
+    object]
+
+and ::
+
+
+   [matplotlib.backends.backend_qt5agg.FigureCanvasQTAggBase,
+    matplotlib.backends.backend_agg.FigureCanvasAgg,
+    matplotlib.backend_bases.FigureCanvasBase,
+    object]
+
+
+respectively.  They are now ::
+
+   [matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg,
+    matplotlib.backends.backend_agg.FigureCanvasAgg,
+    matplotlib.backends.backend_qt5.FigureCanvasQT,
+    PyQt5.QtWidgets.QWidget,
+    PyQt5.QtCore.QObject,
+    sip.wrapper,
+    PyQt5.QtGui.QPaintDevice,
+    sip.simplewrapper,
+    matplotlib.backend_bases.FigureCanvasBase,
+    object]
+
+and ::
+
+   [matplotlib.backends.backend_qt5agg.FigureCanvasQTAggBase,
+    matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg,
+    matplotlib.backends.backend_agg.FigureCanvasAgg,
+    matplotlib.backends.backend_qt5.FigureCanvasQT,
+    PyQt5.QtWidgets.QWidget,
+    PyQt5.QtCore.QObject,
+    sip.wrapper,
+    PyQt5.QtGui.QPaintDevice,
+    sip.simplewrapper,
+    matplotlib.backend_bases.FigureCanvasBase,
+    object]
+
+
+
+
+`.axes.Axes.imshow` clips RGB values to the valid range
+-------------------------------------------------------
+
+When `.axes.Axes.imshow` is passed an RGB or RGBA value with out-of-range
+values, it now logs a warning and clips them to the valid range.
+The old behaviour, wrapping back in to the range, often hid outliers
+and made interpreting RGB images unreliable.
+
+
+GTKAgg and GTKCairo backends deprecated
+---------------------------------------
+
+The GTKAgg and GTKCairo backends have been deprecated. These obsolete backends
+allow figures to be rendered via the GTK+ 2 toolkit. They are untested, known
+to be broken, will not work with Python 3, and their use has been discouraged
+for some time. Instead, use the ``GTK3Agg`` and ``GTK3Cairo`` backends for
+rendering to GTK+ 3 windows.
diff --git a/doc/api/prev_api_changes/api_changes_3.0.0.rst b/doc/api/prev_api_changes/api_changes_3.0.0.rst
new file mode 100644
index 000000000000..c24e1a312f4d
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.0.0.rst
@@ -0,0 +1,559 @@
+API Changes for 3.0.0
+=====================
+
+Drop support for python 2
+-------------------------
+
+Matplotlib 3 only supports python 3.5 and higher.
+
+
+Changes to backend loading
+--------------------------
+
+Failure to load backend modules (``macosx`` on non-framework builds and
+``gtk3`` when running headless) now raises `ImportError` (instead of
+`RuntimeError` and `TypeError`, respectively).
+
+Third-party backends that integrate with an interactive framework are now
+encouraged to define the ``required_interactive_framework`` global value to one
+of the following values: "qt5", "qt4", "gtk3", "wx", "tk", or "macosx". This
+information will be used to determine whether it is possible to switch from a
+backend to another (specifically, whether they use the same interactive
+framework).
+
+
+
+`.Axes.hist2d` now uses `~.Axes.pcolormesh` instead of `~.Axes.pcolorfast`
+--------------------------------------------------------------------------
+
+`.Axes.hist2d` now uses `~.Axes.pcolormesh` instead of `~.Axes.pcolorfast`,
+which will improve the handling of log-axes.  Note that the
+returned *image* now is of type `~.matplotlib.collections.QuadMesh`
+instead of `~.matplotlib.image.AxesImage`.
+
+`.matplotlib.axes.Axes.get_tightbbox` now includes all artists
+--------------------------------------------------------------
+
+For Matplotlib 3.0, *all* artists are now included in the bounding box
+returned by `.matplotlib.axes.Axes.get_tightbbox`.
+
+`.matplotlib.axes.Axes.get_tightbbox` adds a new kwarg ``bbox_extra_artists``
+to manually specify the list of artists on the axes to include in the
+tight bounding box calculation.
+
+Layout tools like `.Figure.tight_layout`, ``constrained_layout``,
+and ``fig.savefig('fname.png', bbox_inches="tight")`` use
+`.matplotlib.axes.Axes.get_tightbbox` to determine the bounds of each axes on
+a figure and adjust spacing between axes.
+
+In Matplotlib 2.2 ``get_tightbbox`` started to include legends made on the
+axes, but still excluded some other artists, like text that may overspill an
+axes.  This has been expanded to include *all* artists.
+
+This new default may be overridden in either of three ways:
+
+1. Make the artist to be excluded a child of the figure, not the axes. E.g.,
+   call ``fig.legend()`` instead of ``ax.legend()`` (perhaps using
+   `~.matplotlib.axes.Axes.get_legend_handles_labels` to gather handles and
+   labels from the parent axes).
+2. If the artist is a child of the axes, set the artist property
+   ``artist.set_in_layout(False)``.
+3. Manually specify a list of artists in the new kwarg ``bbox_extra_artists``.
+
+
+`.Text.set_text` with string argument ``None`` sets string to empty
+-------------------------------------------------------------------
+
+`.Text.set_text` when passed a string value of ``None`` would set the
+string to ``"None"``, so subsequent calls to `.Text.get_text` would return
+the ambiguous ``"None"`` string.
+
+This change sets text objects passed ``None`` to have empty strings, so that
+`.Text.get_text` returns an empty string.
+
+
+
+
+``Axes3D.get_xlim``, ``get_ylim`` and ``get_zlim`` now return a tuple
+---------------------------------------------------------------------
+
+They previously returned an array.  Returning a tuple is consistent with the
+behavior for 2D axes.
+
+
+
+
+``font_manager.list_fonts`` now follows the platform's casefolding semantics
+----------------------------------------------------------------------------
+
+i.e., it behaves case-insensitively on Windows only.
+
+
+``bar`` / ``barh`` no longer accepts ``left`` / ``bottom`` as first named argument
+----------------------------------------------------------------------------------
+
+These arguments were renamed in 2.0 to ``x`` / ``y`` following the change of the
+default alignment from ``edge`` to ``center``.
+
+
+Different exception types for undocumented options
+--------------------------------------------------
+
+- Passing ``style='comma'`` to :meth:`~matplotlib.axes.Axes.ticklabel_format`
+  was never supported.  It now raises ``ValueError`` like all other
+  unsupported styles, rather than ``NotImplementedError``.
+
+- Passing the undocumented ``xmin`` or ``xmax`` arguments to
+  :meth:`~matplotlib.axes.Axes.set_xlim` would silently override the ``left``
+  and ``right`` arguments.  :meth:`~matplotlib.axes.Axes.set_ylim` and the
+  3D equivalents (e.g. `~.Axes3D.set_zlim`) had a
+  corresponding problem.
+  A ``TypeError`` will be raised if they would override the earlier
+  limit arguments.  In 3.0 these were kwargs were deprecated, but in 3.1
+  the deprecation was undone.
+
+
+Improved call signature for ``Axes.margins``
+--------------------------------------------
+
+`.Axes.margins` and `.Axes3D.margins`
+no longer accept arbitrary keywords. ``TypeError`` will therefore be raised
+if unknown kwargs are passed; previously they would be silently ignored.
+
+If too many positional arguments are passed, ``TypeError`` will be raised
+instead of ``ValueError``, for consistency with other call-signature violations.
+
+`.Axes3D.margins` now raises ``TypeError`` instead of emitting a deprecation
+warning if only two positional arguments are passed.  To supply only ``x`` and
+``y`` margins, use keyword arguments.
+
+
+
+Explicit arguments instead of \*args, \*\*kwargs
+------------------------------------------------
+
+:PEP:`3102` describes keyword-only arguments, which allow Matplotlib
+to provide explicit call signatures - where we previously used
+``*args, **kwargs`` and ``kwargs.pop``, we can now expose named
+arguments.  In some places, unknown kwargs were previously ignored but
+now raise ``TypeError`` because ``**kwargs`` has been removed.
+
+- :meth:`matplotlib.axes.Axes.stem` no longer accepts unknown keywords,
+  and raises ``TypeError`` instead of emitting a deprecation.
+- :meth:`matplotlib.axes.Axes.stem` now raises TypeError when passed
+  unhandled positional arguments.  If two or more arguments are passed
+  (ie X, Y, [linefmt], ...) and Y cannot be cast to an array, an error
+  will be raised instead of treating X as Y and Y as linefmt.
+- `mpl_toolkits.axes_grid1.axes_divider.SubplotDivider` raises
+  ``TypeError`` instead of ``Exception`` when passed unknown kwargs.
+
+
+
+Cleanup decorators and test classes no longer destroy warnings filter on exit
+-----------------------------------------------------------------------------
+
+The decorators and classes in matplotlib.testing.decorators no longer
+destroy the warnings filter on exit. Instead, they restore the warnings
+filter that existed before the test started using ``warnings.catch_warnings``.
+
+
+Non-interactive FigureManager classes are now aliases of FigureManagerBase
+--------------------------------------------------------------------------
+
+The ``FigureManagerPdf``, ``FigureManagerPS``, and ``FigureManagerSVG`` classes,
+which were previously empty subclasses of `.FigureManagerBase` (i.e., not
+adding or overriding any attribute or method), are now direct aliases for
+`.FigureManagerBase`.
+
+
+Change to the output of `.image.thumbnail`
+------------------------------------------
+
+When called with ``preview=False``, `.image.thumbnail` previously returned an
+figure whose canvas class was set according to the output file extension.  It
+now returns a figure whose canvas class is the base `.FigureCanvasBase` (and
+relies on `.FigureCanvasBase.print_figure`) to handle the canvas switching
+properly).
+
+As a side effect of this change, `.image.thumbnail` now also supports .ps, .eps,
+and .svgz output.
+
+
+
+`.FuncAnimation` now draws artists according to their zorder when blitting
+--------------------------------------------------------------------------
+
+`.FuncAnimation` now draws artists returned by the user-
+function according to their zorder when using blitting,
+instead of using the order in which they are being passed.
+However, note that only zorder of passed artists will be
+respected, as they are drawn on top of any existing artists
+(see `#11369 <https://github.com/matplotlib/matplotlib/issues/11369>`_).
+
+
+Contour color autoscaling improvements
+--------------------------------------
+
+Selection of contour levels is now the same for contour and
+contourf; previously, for contour, levels outside the data range were
+deleted.  (Exception: if no contour levels are found within the
+data range, the ``levels`` attribute is replaced with a list holding
+only the minimum of the data range.)
+
+When contour is called with levels specified as a target number rather
+than a list, and the 'extend' kwarg is used, the levels are now chosen
+such that some data typically will fall in the extended range.
+
+When contour is called with a `.LogNorm` or a `.LogLocator`, it will now
+select colors using the geometric mean rather than the arithmetic mean
+of the contour levels.
+
+
+Streamplot last row and column fixed
+------------------------------------
+
+A bug was fixed where the last row and column of data in
+`~.Axes.streamplot` were being dropped.
+
+
+Changed default `.AutoDateLocator` kwarg *interval_multiples* to ``True``
+-------------------------------------------------------------------------
+
+The default value of the tick locator for dates, `.dates.AutoDateLocator`
+kwarg *interval_multiples* was set to ``False`` which leads to not-nice
+looking automatic ticks in many instances.  The much nicer
+``interval_multiples=True`` is the new default.  See below to get the
+old behavior back:
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    import datetime
+    import matplotlib.dates as mdates
+
+    t0 = datetime.datetime(2009, 8, 20, 1, 10, 12)
+    tf = datetime.datetime(2009, 8, 20, 1, 42, 11)
+
+
+    fig, axs = plt.subplots(1, 2, constrained_layout=True)
+    ax = axs[0]
+    ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)
+    ax.set_ylim(t0 - datetime.timedelta(minutes=3),
+                tf + datetime.timedelta(minutes=3))
+    ax.set_title('NEW DEFAULT')
+
+    ax = axs[1]
+    ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)
+    ax.set_ylim(t0 - datetime.timedelta(minutes=3),
+                tf + datetime.timedelta(minutes=3))
+    # old behavior
+    locator = mdates.AutoDateLocator(interval_multiples=False, )
+    ax.yaxis.set_major_locator(locator)
+    ax.yaxis.set_major_formatter(mdates.AutoDateFormatter(locator))
+
+    ax.set_title('OLD')
+    plt.show()
+
+
+`.Axes.get_position` now returns actual position if aspect changed
+------------------------------------------------------------------
+
+`.Axes.get_position` used to return the original position unless a
+draw had been triggered or `.Axes.apply_aspect` had been called, even
+if the kwarg *original* was set to ``False``.   Now `.Axes.apply_aspect`
+is called so ``ax.get_position()`` will return the new modified position.
+To get the old behavior use ``ax.get_position(original=True)``.
+
+
+The ticks for colorbar now adjust for the size of the colorbar
+--------------------------------------------------------------
+
+Colorbar ticks now adjust for the size of the colorbar if the
+colorbar is made from a mappable that is not a contour or
+doesn't have a BoundaryNorm, or boundaries are not specified.
+If boundaries, etc are specified, the colorbar maintains the
+original behavior.
+
+
+Colorbar for log-scaled hexbin
+------------------------------
+
+When using `~.Axes.hexbin` and plotting with a logarithmic color scale, the colorbar
+ticks are now correctly log scaled. Previously the tick values were linear
+scaled log(number of counts).
+
+PGF backend now explicitly makes black text black
+-------------------------------------------------
+
+Previous behavior with the pgf backend was for text specified as black to
+actually be the default color of whatever was rendering the pgf file (which was
+of course usually black). The new behavior is that black text is black,
+regardless of the default color. However, this means that there is no way to
+fall back on the default color of the renderer.
+
+
+Blacklisted rcparams no longer updated by `~matplotlib.rcdefaults`, `~matplotlib.rc_file_defaults`, `~matplotlib.rc_file`
+-------------------------------------------------------------------------------------------------------------------------
+
+The rc modifier functions `~matplotlib.rcdefaults`,
+`~matplotlib.rc_file_defaults` and `~matplotlib.rc_file`
+now ignore rcParams in the ``matplotlib.style.core.STYLE_BLACKLIST`` set.  In
+particular, this prevents the ``backend`` and ``interactive`` rcParams from
+being incorrectly modified by these functions.
+
+
+
+`.CallbackRegistry` now stores callbacks using stdlib's `weakref.WeakMethod`\s
+------------------------------------------------------------------------------
+
+In particular, this implies that ``CallbackRegistry.callbacks[signal]`` is now
+a mapping of callback ids to `weakref.WeakMethod`\s (i.e., they need to be first called
+with no arguments to retrieve the method itself).
+
+
+Changes regarding the text.latex.unicode rcParam
+------------------------------------------------
+
+The rcParam now defaults to True and is deprecated (i.e., in future versions
+of Matplotlib, unicode input will always be supported).
+
+Moreover, the underlying implementation now uses ``\usepackage[utf8]{inputenc}``
+instead of ``\usepackage{ucs}\usepackage[utf8x]{inputenc}``.
+
+
+Return type of ArtistInspector.get_aliases changed
+--------------------------------------------------
+
+``ArtistInspector.get_aliases`` previously returned the set of aliases as
+``{fullname: {alias1: None, alias2: None, ...}}``.  The dict-to-None mapping
+was used to simulate a set in earlier versions of Python.  It has now been
+replaced by a set, i.e. ``{fullname: {alias1, alias2, ...}}``.
+
+This value is also stored in ``ArtistInspector.aliasd``, which has likewise
+changed.
+
+
+Removed ``pytz`` as a dependency
+--------------------------------
+
+Since ``dateutil`` and ``pytz`` both provide time zones, and
+matplotlib already depends on ``dateutil``, matplotlib will now use
+``dateutil`` time zones internally and drop the redundant dependency
+on ``pytz``. While ``dateutil`` time zones are preferred (and
+currently recommended in the Python documentation), the explicit use
+of ``pytz`` zones is still supported.
+
+Deprecations
+------------
+
+Modules
+```````
+The following modules are deprecated:
+
+- ``matplotlib.compat.subprocess``. This was a python 2 workaround, but all
+  the functionality can now be found in the python 3 standard library
+  :mod:`subprocess`.
+- ``matplotlib.backends.wx_compat``. Python 3 is only compatible with
+  wxPython 4, so support for wxPython 3 or earlier can be dropped.
+
+Classes, methods, functions, and attributes
+```````````````````````````````````````````
+
+The following classes, methods, functions, and attributes are deprecated:
+
+- ``RcParams.msg_depr``, ``RcParams.msg_depr_ignore``,
+  ``RcParams.msg_depr_set``, ``RcParams.msg_obsolete``,
+  ``RcParams.msg_backend_obsolete``
+- ``afm.parse_afm``
+- ``backend_pdf.PdfFile.texFontMap``
+- ``backend_pgf.get_texcommand``
+- ``backend_ps.get_bbox``
+- ``backend_qt5.FigureCanvasQT.keyAutoRepeat`` (directly check
+  ``event.guiEvent.isAutoRepeat()`` in the event handler to decide whether to
+  handle autorepeated key presses).
+- ``backend_qt5.error_msg_qt``, ``backend_qt5.exception_handler``
+- ``backend_wx.FigureCanvasWx.macros``
+- ``backends.pylab_setup``
+- ``cbook.GetRealpathAndStat``, ``cbook.Locked``
+- ``cbook.is_numlike`` (use ``isinstance(..., numbers.Number)`` instead),
+  ``cbook.listFiles``, ``cbook.unicode_safe``
+- ``container.Container.set_remove_method``,
+- ``contour.ContourLabeler.cl``, ``.cl_xy``, and ``.cl_cvalues``
+- ``dates.DateFormatter.strftime_pre_1900``, ``dates.DateFormatter.strftime``
+- ``font_manager.TempCache``
+- ``image._ImageBase.iterpnames``, use the ``interpolation_names`` property
+  instead. (this affects classes that inherit from ``_ImageBase`` including
+  `.FigureImage`, `.BboxImage`, and `.AxesImage`)
+- ``mathtext.unichr_safe`` (use ``chr`` instead)
+- ``patches.Polygon.xy``
+- ``table.Table.get_child_artists`` (use ``get_children`` instead)
+- ``testing.compare.ImageComparisonTest``, ``testing.compare.compare_float``
+- ``testing.decorators.CleanupTest``,
+  ``testing.decorators.skip_if_command_unavailable``
+- ``FigureCanvasQT.keyAutoRepeat`` (directly check
+  ``event.guiEvent.isAutoRepeat()`` in the event handler to decide whether to
+  handle autorepeated key presses)
+- ``FigureCanvasWx.macros``
+- ``_ImageBase.iterpnames``, use the ``interpolation_names`` property instead.
+  (this affects classes that inherit from ``_ImageBase`` including
+  `.FigureImage`, `.BboxImage`, and `.AxesImage`)
+- ``patches.Polygon.xy``
+- ``texmanager.dvipng_hack_alpha``
+- ``text.Annotation.arrow``
+- ``Legend.draggable()``, in favor of `.Legend.set_draggable()`
+   (``Legend.draggable`` may be reintroduced as a property in future releases)
+- ``textpath.TextToPath.tex_font_map``
+- ``matplotlib.cbook.deprecation.mplDeprecation`` will be removed
+  in future versions. It is just an alias for
+  ``matplotlib.cbook.deprecation.MatplotlibDeprecationWarning``.  Please
+  use ``matplotlib.cbook.MatplotlibDeprecationWarning`` directly if necessary.
+- The ``matplotlib.cbook.Bunch`` class has been deprecated. Instead, use
+  `types.SimpleNamespace` from the standard library which provides the same
+  functionality.
+- ``Axes.mouseover_set`` is now a frozenset, and deprecated.  Directly
+  manipulate the artist's ``.mouseover`` attribute to change their mouseover
+  status.
+
+The following keyword arguments are deprecated:
+
+- passing ``verts`` to ``Axes.scatter`` (use ``marker`` instead)
+- passing ``obj_type`` to ``cbook.deprecated``
+
+The following call signatures are deprecated:
+
+- passing a ``wx.EvtHandler`` as first argument to ``backend_wx.TimerWx``
+
+
+rcParams
+````````
+
+The following rcParams are deprecated:
+
+- ``examples.directory`` (use ``datapath`` instead)
+- ``pgf.debug`` (the pgf backend relies on logging)
+- ``text.latex.unicode`` (always True now)
+
+
+marker styles
+`````````````
+- Using ``(n, 3)`` as marker style to specify a circle marker is deprecated.  Use
+  ``"o"`` instead.
+- Using ``([(x0, y0), (x1, y1), ...], 0)`` as marker style to specify a custom
+  marker path is deprecated.  Use ``[(x0, y0), (x1, y1), ...]`` instead.
+
+
+Deprecation of ``LocatableAxes`` in toolkits
+````````````````````````````````````````````
+
+The ``LocatableAxes`` classes in toolkits have been deprecated. The base `~.axes.Axes`
+classes provide the same functionality to all subclasses, thus these mixins are
+no longer necessary. Related functions have also been deprecated. Specifically:
+
+* ``mpl_toolkits.axes_grid1.axes_divider.LocatableAxesBase``: no specific
+  replacement; use any other ``Axes``-derived class directly instead.
+* ``mpl_toolkits.axes_grid1.axes_divider.locatable_axes_factory``: no specific
+  replacement; use any other ``Axes``-derived class directly instead.
+* ``mpl_toolkits.axes_grid1.axes_divider.Axes``: use
+  `mpl_toolkits.axes_grid1.mpl_axes.Axes` directly.
+* ``mpl_toolkits.axes_grid1.axes_divider.LocatableAxes``: use
+  `mpl_toolkits.axes_grid1.mpl_axes.Axes` directly.
+* ``mpl_toolkits.axisartist.axes_divider.Axes``: use
+  `mpl_toolkits.axisartist.axislines.Axes` directly.
+* ``mpl_toolkits.axisartist.axes_divider.LocatableAxes``: use
+  `mpl_toolkits.axisartist.axislines.Axes` directly.
+
+Removals
+--------
+
+Hold machinery
+``````````````
+
+Setting or unsetting ``hold`` (:ref:`deprecated in version 2.0<v200_deprecate_hold>`) has now
+been completely removed. Matplotlib now always behaves as if ``hold=True``.
+To clear an axes you can manually use :meth:`~.axes.Axes.cla()`,
+or to clear an entire figure use :meth:`~.figure.Figure.clear()`.
+
+
+Removal of deprecated backends
+``````````````````````````````
+
+Deprecated backends have been removed:
+
+- GTKAgg
+- GTKCairo
+- GTK
+- GDK
+
+
+Deprecated APIs
+```````````````
+
+The following deprecated API elements have been removed:
+
+- The deprecated methods ``knownfailureif`` and ``remove_text`` have been removed
+  from :mod:`matplotlib.testing.decorators`.
+- The entire contents of ``testing.noseclasses`` have also been removed.
+- ``matplotlib.checkdep_tex``, ``matplotlib.checkdep_xmllint``
+- ``backend_bases.IdleEvent``
+- ``cbook.converter``, ``cbook.tostr``, ``cbook.todatetime``, ``cbook.todate``,
+  ``cbook.tofloat``, ``cbook.toint``, ``cbook.unique``,
+  ``cbook.is_string_like``, ``cbook.is_sequence_of_strings``,
+  ``cbook.is_scalar``, ``cbook.soundex``, ``cbook.dict_delall``,
+  ``cbook.get_split_ind``, ``cbook.wrap``, ``cbook.get_recursive_filelist``,
+  ``cbook.pieces``, ``cbook.exception_to_str``, ``cbook.allequal``,
+  ``cbook.alltrue``, ``cbook.onetrue``, ``cbook.allpairs``, ``cbook.finddir``,
+  ``cbook.reverse_dict``, ``cbook.restrict_dict``, ``cbook.issubclass_safe``,
+  ``cbook.recursive_remove``, ``cbook.unmasked_index_ranges``,
+  ``cbook.Null``, ``cbook.RingBuffer``, ``cbook.Sorter``, ``cbook.Xlator``,
+- ``font_manager.weight_as_number``, ``font_manager.ttfdict_to_fnames``
+- ``pyplot.colors``, ``pyplot.spectral``
+- ``rcsetup.validate_negative_linestyle``,
+  ``rcsetup.validate_negative_linestyle_legacy``,
+- ``testing.compare.verifiers``, ``testing.compare.verify``
+- ``testing.decorators.knownfailureif``,
+  ``testing.decorators.ImageComparisonTest.remove_text``
+- ``tests.assert_str_equal``, ``tests.test_tinypages.file_same``
+- ``texmanager.dvipng_hack_alpha``,
+- ``_AxesBase.axesPatch``, ``_AxesBase.set_color_cycle``,
+  ``_AxesBase.get_cursor_props``, ``_AxesBase.set_cursor_props``
+- ``_ImageBase.iterpnames``
+- ``FigureCanvasBase.start_event_loop_default``;
+- ``FigureCanvasBase.stop_event_loop_default``;
+- ``Figure.figurePatch``,
+- ``FigureCanvasBase.dynamic_update``, ``FigureCanvasBase.idle_event``,
+  ``FigureCanvasBase.get_linestyle``, ``FigureCanvasBase.set_linestyle``
+- ``FigureCanvasQTAggBase``
+- ``FigureCanvasQTAgg.blitbox``
+- ``FigureCanvasTk.show`` (alternative: ``FigureCanvasTk.draw``)
+- ``FigureManagerTkAgg`` (alternative: ``FigureManagerTk``)
+- ``NavigationToolbar2TkAgg`` (alternative: ``NavigationToolbar2Tk``)
+- ``backend_wxagg.Toolbar`` (alternative: ``backend_wxagg.NavigationToolbar2WxAgg``)
+- ``RendererAgg.debug()``
+- passing non-numbers to ``EngFormatter.format_eng``
+- passing ``frac`` to ``PolarAxes.set_theta_grids``
+- any mention of idle events
+
+The following API elements have been removed:
+
+- ``backend_cairo.HAS_CAIRO_CFFI``
+- ``sphinxext.sphinx_version``
+
+
+Proprietary sphinx directives
+`````````````````````````````
+
+The matplotlib documentation used the proprietary sphinx directives
+``.. htmlonly::``, and ``.. latexonly::``. These have been replaced with the
+standard sphinx directives ``.. only:: html`` and ``.. only:: latex``. This
+change will not affect any users. Only downstream package maintainers, who
+have used the proprietary directives in their docs, will have to switch to the
+sphinx directives.
+
+
+lib/mpl_examples symlink
+````````````````````````
+
+The symlink from lib/mpl_examples to ../examples has been removed.
+This is not installed as an importable package and should not affect
+end users, however this may require down-stream packagers to adjust.
+The content is still available top-level examples directory.
diff --git a/doc/api/prev_api_changes/api_changes_3.0.1.rst b/doc/api/prev_api_changes/api_changes_3.0.1.rst
new file mode 100644
index 000000000000..4b203cd04596
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.0.1.rst
@@ -0,0 +1,21 @@
+API Changes for 3.0.1
+=====================
+
+``matplotlib.tight_layout.auto_adjust_subplotpars`` can return ``None`` now if
+the new subplotparams will collapse axes to zero width or height.
+This prevents ``tight_layout`` from being executed.  Similarly
+``matplotlib.tight_layout.get_tight_layout_figure`` will return None.
+
+To improve import (startup) time, private modules are now imported lazily.
+These modules are no longer available at these locations:
+
+- ``matplotlib.backends.backend_agg._png``
+- ``matplotlib.contour._contour``
+- ``matplotlib.image._png``
+- ``matplotlib.mathtext._png``
+- ``matplotlib.testing.compare._png``
+- ``matplotlib.texmanager._png``
+- ``matplotlib.tri.triangulation._tri``
+- ``matplotlib.tri.triangulation._qhull``
+- ``matplotlib.tri.tricontour._tri``
+- ``matplotlib.tri.trifinder._tri``
diff --git a/doc/api/prev_api_changes/api_changes_3.1.0.rst b/doc/api/prev_api_changes/api_changes_3.1.0.rst
new file mode 100644
index 000000000000..d5b2a1369cf1
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.1.0.rst
@@ -0,0 +1,1159 @@
+API Changes for 3.1.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+
+Behavior changes
+----------------
+
+
+Matplotlib.use
+~~~~~~~~~~~~~~
+Switching backends via `matplotlib.use` is now allowed by default,
+regardless of whether `matplotlib.pyplot` has been imported. If the user
+tries to switch from an already-started interactive backend to a different
+interactive backend, an `ImportError` will be raised.
+
+Invalid points in PathCollections
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+PathCollections created with `~.Axes.scatter` now keep track of invalid points.
+Previously, points with nonfinite (infinite or nan) coordinates would not be
+included in the offsets (as returned by `.PathCollection.get_offsets`) of a
+`.PathCollection` created by `~.Axes.scatter`, and points with nonfinite values
+(as specified by the *c* kwarg) would not be included in the array (as returned
+by `.PathCollection.get_array`)
+
+Such points are now included, but masked out by returning a masked array.
+
+If the *plotnonfinite* kwarg to `~.Axes.scatter` is set, then points
+with nonfinite values are plotted using the bad color of the
+`.collections.PathCollection`\ 's colormap (as set by
+:meth:`.colors.Colormap.set_bad`).
+
+Alpha blending in imshow of RBGA input
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The alpha-channel of RBGA images is now re-sampled independently of
+RGB channels.  While this is a bug fix, it does change the output and
+may result in some down-stream image comparison tests to fail.
+
+Autoscaling
+~~~~~~~~~~~
+On log-axes where a single value is plotted at a "full" decade (1, 10, 100,
+etc.), the autoscaling now expands the axis symmetrically around that point,
+instead of adding a decade only to the right.
+
+Log-scaled axes
+~~~~~~~~~~~~~~~
+When the default `.LogLocator` would generate no ticks for an axis (e.g., an
+axis with limits from 0.31 to 0.39) or only a single tick, it now instead falls
+back on the linear `.AutoLocator` to pick reasonable tick positions.
+
+`.Figure.add_subplot` with no arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Calling `.Figure.add_subplot()` with no positional arguments used to do
+nothing; this now is equivalent to calling ``add_subplot(111)`` instead.
+
+`~.Axes.bxp` and rcparams
+~~~~~~~~~~~~~~~~~~~~~~~~~
+`~.Axes.bxp` now respects :rc:`boxplot.boxprops.linewidth` even when
+*patch_artist* is set.
+Previously, when the *patch_artist* parameter was set, `~.Axes.bxp` would ignore
+:rc:`boxplot.boxprops.linewidth`.  This was an oversight -- in particular,
+`~.Axes.boxplot` did not ignore it.
+
+Major/minor tick collisions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Minor ticks that collide with major ticks are now hidden by default.
+Previously, certain locator classes (`~.ticker.LogLocator`,
+`~.ticker.AutoMinorLocator`) contained custom logic to avoid emitting
+tick locations that collided with major ticks when they were used as
+minor locators.  This logic has now moved to the `~.axis.Axis` class,
+and is used regardless of the locator class.  You can control this
+behavior via the `~.Axis.remove_overlapping_locs` attribute on
+`~.axis.Axis`.
+
+If you were relying on both the major and minor tick labels to appear
+on the same tick, you may need to update your code.  For example, the
+following snippet ::
+
+    import numpy as np
+    import matplotlib.dates as mdates
+    import matplotlib.pyplot as plt
+
+    t = np.arange("2018-11-03", "2018-11-06", dtype="datetime64")
+    x = np.random.rand(len(t))
+
+    fig, ax = plt.subplots()
+    ax.plot(t, x)
+    ax.xaxis.set(
+        major_locator=mdates.DayLocator(),
+        major_formatter=mdates.DateFormatter("\n%a"),
+        minor_locator=mdates.HourLocator((0, 6, 12, 18)),
+        minor_formatter=mdates.DateFormatter("%H:%M"),
+    )
+    # disable removing overlapping locations
+    ax.xaxis.remove_overlapping_locs = False
+    plt.show()
+
+labeled days using major ticks, and hours and minutes using minor
+ticks and added a newline to the major ticks labels to avoid them
+crashing into the minor tick labels.  Setting the
+`~.Axis.remove_overlapping_locs` property (also accessible via
+`~.Axis.set_remove_overlapping_locs` /
+`~.Axis.get_remove_overlapping_locs` and `~.pyplot.setp`) disables
+removing overlapping tick locations.
+
+The major tick labels could also be adjusted include hours and
+minutes, as the minor ticks are gone, so the ``major_formatter``
+would be::
+
+  mdates.DateFormatter("%H:%M\n%a")
+
+usetex support
+~~~~~~~~~~~~~~
+Previously, if :rc:`text.usetex` was True, then constructing a `.TextPath` on
+a non-mathtext string with ``usetex=False`` would rely on the mathtext parser
+(but not on usetex support!) to parse the string.  The mathtext parser is not
+invoked anymore, which may cause slight changes in glyph positioning.
+
+get_window_extents
+~~~~~~~~~~~~~~~~~~
+
+`.matplotlib.axes.Axes.get_window_extent` used to return a bounding box
+that was slightly larger than the axes, presumably to take into account
+the ticks that may be on a spine.  However, it was not scaling the tick sizes
+according to the dpi of the canvas, and it did not check if the ticks were
+visible, or on the spine.
+
+Now  `.matplotlib.axes.Axes.get_window_extent` just returns the axes extent
+with no padding for ticks.
+
+This affects `.matplotlib.axes.Axes.get_tightbbox` in cases where there are
+outward ticks with no tick labels, and it also removes the (small) pad around
+axes in that case.
+
+`.spines.Spine.get_window_extent` now takes into account ticks that are on the
+spine.
+
+Sankey
+~~~~~~
+Previously, `.Sankey.add` would only accept a single string as the *labels*
+argument if its length is equal to the number of flows, in which case it would
+use one character of the string for each flow.
+
+The behavior has been changed to match the documented one: when a single string
+is passed, it is used to label all the flows.
+
+`~.font_manager.FontManager` scores
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.font_manager.FontManager.score_weight` is now more strict with its
+inputs.  Previously, when a weight string was passed to
+`.font_manager.FontManager.score_weight`,
+
+- if the weight was the string representation of an integer, it would be
+  converted to that integer,
+- otherwise, if the weight was not a standard weight name, it would be silently
+  replaced by a value of 500 ("normal" weight).
+
+`.font_manager.FontManager.score_weight` now raises an exception on such inputs.
+
+Text alignment
+~~~~~~~~~~~~~~
+
+Text alignment was previously incorrect, in particular for multiline text
+objects with large descenders (i.e. subscripts) and rotated text.  These have
+been fixed and made more consistent, but could make old code that has
+compensated for this no longer have the correct alignment.
+
+Upper case color strings
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Support for passing single-letter colors (one of "rgbcmykw") as UPPERCASE
+characters is deprecated; these colors will become case-sensitive (lowercase)
+after the deprecation period has passed.
+
+The goal is to decrease the number of ambiguous cases when using the ``data``
+keyword to plotting methods; e.g. ``plot("X", "Y", data={"X": ..., "Y": ...})``
+will not warn about "Y" possibly being a color anymore after the deprecation
+period has passed.
+
+Degenerate limits
+~~~~~~~~~~~~~~~~~
+
+When bounds passed to `~.axes.Axes.set_xlim` are degenerate (i.e. the
+lower and upper value are equal), the method used to "expand" the
+bounds now matches the expansion behavior of autoscaling when the plot
+contains a single x-value, and should in particular produce nicer
+limits for non-linear scales.
+
+`~.Axes.plot` format string parsing
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+In certain cases, `~.Axes.plot` would previously accept format strings
+specifying more than one linestyle (e.g. ``"---."`` which specifies both
+``"--"`` and ``"-."``); only use one of them would be used. This now raises a
+`ValueError` instead.
+
+HTMLWriter
+~~~~~~~~~~
+The HTMLWriter constructor is more strict: it no longer normalizes unknown
+values of *default_mode* to 'loop', but errors out instead.
+
+AFM parsing
+~~~~~~~~~~~
+In accordance with the AFM spec, the AFM parser no longer truncates the
+``UnderlinePosition`` and ``UnderlineThickness`` fields to integers.
+
+The ``Notice`` field (which can only be publicly accessed by the deprecated
+``afm.parse_afm`` API) is no longer decoded to a `str`, but instead kept as
+`bytes`, to support non-conformant AFM files that use non-ASCII characters in
+that field.
+
+`.Artist.set` keyword normalisation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.Artist.set` now normalizes keywords before sorting them. Previously it sorted
+its keyword arguments in reverse alphabetical order (with a special-case to
+put ``color`` at the end) before applying them.
+
+It now normalizes aliases (and, as above, emits a warning on duplicate
+properties) before doing the sorting (so ``c`` goes to the end too).
+
+`.Axes.tick_params` argument checking
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously `.Axes.tick_params` silently did nothing when an invalid *axis*
+parameter was supplied. This behavior has been changed to raise a `ValueError`
+instead.
+
+`.Axes.hist` output
+~~~~~~~~~~~~~~~~~~~
+
+Input that consists of multiple empty lists will now return a list of histogram
+values for each one of the lists. For example, an input of ``[[],[]]`` will
+return 2 lists of histogram values. Previously, a single list was returned.
+
+``backend_bases.TimerBase.remove_callback`` future signature change
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Currently, ``backend_bases.TimerBase.remove_callback(func, *args,
+**kwargs)`` removes a callback previously added by
+``backend_bases.Timer.add_callback(func, *args, **kwargs)``, but if
+``*args, **kwargs`` is not passed in (i.e.,
+``TimerBase.remove_callback(func)``), then the first callback with a
+matching ``func`` is removed, regardless of whether it was added with
+or without ``*args, **kwargs``.
+
+In a future version, `.TimerBase.remove_callback` will always use the latter
+behavior (not consider ``*args, **kwargs``); to specifically consider them, add
+the callback as a `functools.partial` object ::
+
+   cb = timer.add_callback(functools.partial(func, *args, **kwargs))
+   # ...
+   # later
+   timer.remove_callback(cb)
+
+`.TimerBase.add_callback` was modified to return *func* to
+simplify the above usage (previously it returned None); this also
+allows using it as a decorator.
+
+The new API is modelled after `atexit.register` / `atexit.unregister`.
+
+`~.container.StemContainer` performance increase
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.container.StemContainer` objects can now store a
+`~.collections.LineCollection` object instead of a list of
+`~.lines.Line2D` objects for stem lines plotted using
+`~.Axes.stem`. This gives a very large performance boost to displaying
+and moving `~.Axes.stem` plots.
+
+This will become the default behaviour in Matplotlib 3.3. To use it
+now, the *use_line_collection* keyword argument to `~.Axes.stem` can
+be set to `True` ::
+
+  ax.stem(..., use_line_collection=True)
+
+Individual line segments can be extracted from the
+`~.collections.LineCollection` using
+`~.collections.LineCollection.get_segments()`. See the
+`~.collections.LineCollection` documentation for other methods to
+retrieve the collection properties.
+
+
+`~matplotlib.colorbar.ColorbarBase` inheritance
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`matplotlib.colorbar.ColorbarBase` is no longer a subclass of
+`.cm.ScalarMappable`.  This inheritance lead to a confusing situation
+where the `.cm.ScalarMappable` passed to `matplotlib.colorbar.Colorbar`
+(`~.Figure.colorbar`) had a ``set_norm`` method, as did the colorbar.
+The colorbar is now purely a follower to the `.ScalarMappable` norm and
+colormap, and the old inherited methods
+``matplotlib.colorbar.ColorbarBase.set_norm``,
+``matplotlib.colorbar.ColorbarBase.set_cmap``,
+``matplotlib.colorbar.ColorbarBase.set_clim`` are deprecated, as are
+the getter versions of those calls.  To set the norm associated with a
+colorbar do ``colorbar.mappable.set_norm()`` etc.
+
+
+FreeType and libpng search paths
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``MPLBASEDIRLIST`` environment variables and ``basedirlist`` entry in
+``setup.cfg`` have no effect anymore.  Instead, if building in situations where
+FreeType or libpng are not in the compiler or linker's default path, set the
+standard environment variables ``CFLAGS``/``LDFLAGS`` on Linux or OSX, or
+``CL``/``LINK`` on Windows, to indicate the relevant paths.
+
+See details in :doc:`/install/index`.
+
+Setting artist properties twice or more in the same call
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Setting the same artist property multiple time via aliases is deprecated.
+Previously, code such as ::
+
+  plt.plot([0, 1], c="red", color="blue")
+
+would emit a warning indicating that ``c`` and ``color`` are aliases
+of one another, and only keep the ``color`` kwarg.  This behavior has
+been deprecated; in a future version, this will raise a TypeError,
+similar to Python's behavior when a keyword argument is passed twice ::
+
+  plt.plot([0, 1], c="red", c="blue")
+
+This warning is raised by `~.cbook.normalize_kwargs`.
+
+Path code types
+~~~~~~~~~~~~~~~
+Path code types like ``Path.MOVETO`` are now ``np.uint8`` instead of ``int``
+``Path.STOP``, ``Path.MOVETO``, ``Path.LINETO``, ``Path.CURVE3``,
+``Path.CURVE4`` and ``Path.CLOSEPOLY`` are now of the type ``Path.code_type``
+(``np.uint8`` by default) instead of plain ``int``. This makes their type
+match the array value type of the ``Path.codes`` array.
+
+LaTeX code in matplotlibrc file
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, the rc file keys ``pgf.preamble`` and ``text.latex.preamble`` were
+parsed using commas as separators. This would break valid LaTeX code, such as::
+
+  \usepackage[protrusion=true, expansion=false]{microtype}
+
+The parsing has been modified to pass the complete line to the LaTeX system,
+keeping all commas. Passing a list of strings from within a Python script still
+works as it used to. Passing a list containing non-strings now fails, instead
+of coercing the results to strings.
+
+`.Axes.spy`
+~~~~~~~~~~~
+
+The method `.Axes.spy` now raises a `TypeError` for the keyword
+arguments *interpolation* and *linestyle* instead of silently ignoring
+them.
+
+Furthermore, `.Axes.spy` spy does now allow for an *extent* argument
+(was silently ignored so far).
+
+A bug with ``Axes.spy(..., origin='lower')`` is fixed.  Previously this
+flipped the data but not the y-axis resulting in a mismatch between
+axes labels and actual data indices. Now, *origin='lower'* flips both
+the data and the y-axis labels.
+
+Boxplot tick methods
+~~~~~~~~~~~~~~~~~~~~
+
+The *manage_xticks* parameter of `~.Axes.boxplot` and `~.Axes.bxp` has
+been renamed (with a deprecation period) to *manage_ticks*, to take
+into account the fact that it manages either x or y ticks depending on
+the *vert* parameter.
+
+When ``manage_ticks=True`` (the default), these methods now attempt to
+take previously drawn boxplots into account when setting the axis
+limits, ticks, and tick labels.
+
+MouseEvents
+~~~~~~~~~~~
+MouseEvents now include the event name in their ``str()``.
+Previously they contained the prefix "MPL MouseEvent".
+
+RGBA buffer return type
+~~~~~~~~~~~~~~~~~~~~~~~
+
+`.FigureCanvasAgg.buffer_rgba` and `.RendererAgg.buffer_rgba` now
+return a memoryview The ``buffer_rgba`` method now allows direct
+access to the renderer's underlying buffer (as a ``(m, n, 4)``-shape
+memoryview) rather than copying the data to a new bytestring.  This is
+consistent with the behavior on Py2, where a buffer object was
+returned.
+
+
+``matplotlib.font_manager.win32InstalledFonts`` return type
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``matplotlib.font_manager.win32InstalledFonts`` returns an empty list instead
+of None if no fonts are found.
+
+``Axes.fmt_xdata`` and ``Axes.fmt_ydata`` error handling
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, if the user provided a ``Axes.fmt_xdata`` or
+``Axes.fmt_ydata`` function that raised a `TypeError` (or set them to a
+non-callable), the exception would be silently ignored and the default
+formatter be used instead.  This is no longer the case; the exception
+is now propagated out.
+
+Deprecation of redundant `.Tick` attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``gridOn``, ``tick1On``, ``tick2On``, ``label1On``, and ``label2On``
+`~.Tick` attributes have been deprecated.  Directly get and set the visibility
+on the underlying artists, available as the ``gridline``, ``tick1line``,
+``tick2line``, ``label1``, and ``label2`` attributes.
+
+The ``label`` attribute, which was an alias for ``label1``, has been
+deprecated.
+
+Subclasses that relied on setting the above visibility attributes needs to be
+updated; see e.g. :file:`examples/api/skewt.py`.
+
+Passing a Line2D's drawstyle together with the linestyle is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Instead of ``plt.plot(..., linestyle="steps--")``, use ``plt.plot(...,
+linestyle="--", drawstyle="steps")``. ``ds`` is now an alias for ``drawstyle``.
+
+
+``pgi`` support dropped
+-----------------------
+
+Support for ``pgi`` in the GTK3 backends has been dropped.  ``pgi`` is
+an alternative implementation to ``PyGObject``.  ``PyGObject`` should
+be used instead.
+
+rcParam changes
+---------------
+
+Removed
+~~~~~~~
+The following deprecated rcParams have been removed:
+
+- ``text.dvipnghack``
+- ``nbagg.transparent`` (use :rc:`figure.facecolor` instead)
+- ``plugins.directory``
+- ``axes.hold``
+- ``backend.qt4`` and ``backend.qt5`` (set the :envvar:`QT_API` environment
+  variable instead)
+
+Deprecated
+~~~~~~~~~~
+The associated validator functions ``rcsetup.validate_qt4`` and
+``validate_qt5`` are deprecated.
+
+The ``verbose.fileo`` and ``verbose.level`` rcParams have been deprecated.
+These have had no effect since the switch from Matplotlib's old custom Verbose
+logging to the stdlib's `logging` module. In addition the
+``rcsetup.validate_verbose`` function is deprecated.
+
+The ``text.latex.unicode`` rcParam now defaults to ``True`` and is
+deprecated (i.e., in future versions
+of Matplotlib, unicode input will always be supported).
+Moreover, the underlying implementation now uses ``\usepackage[utf8]{inputenc}``
+instead of ``\usepackage{ucs}\usepackage[utf8x]{inputenc}``.
+
+Exception changes
+-----------------
+- ``mpl_toolkits.axes_grid1.axes_size.GetExtentHelper`` now raises `ValueError`
+  for invalid directions instead of `KeyError`.
+- Previously, subprocess failures in the animation framework would raise either
+  in a `RuntimeError` or a `ValueError` depending on when the error occurred.
+  They now raise a `subprocess.CalledProcessError` with attributes set as
+  documented by the exception class.
+- In certain cases, Axes methods (and pyplot functions) used to raise
+  a `RuntimeError` if they were called with a ``data`` kwarg and
+  otherwise mismatched arguments.  They now raise a `TypeError`
+  instead.
+- `.Axes.streamplot` does not support irregularly gridded ``x`` and ``y`` values.
+  So far, it used to silently plot an incorrect result.  This has been changed to
+  raise a `ValueError` instead.
+- The ``streamplot.Grid`` class, which is internally used by streamplot
+  code, also throws a `ValueError` when irregularly gridded values are
+  passed in.
+
+Removals
+--------
+The following deprecated APIs have been removed:
+
+Classes and methods
+~~~~~~~~~~~~~~~~~~~
+- ``Verbose`` (replaced by python logging library)
+- ``artist.Artist.hitlist`` (no replacement)
+- ``artist.Artist.is_figure_set`` (use ``artist.figure is not None`` instead)
+- ``axis.Axis.unit_data`` (use ``axis.Axis.units`` instead)
+- ``backend_bases.FigureCanvasBase.onRemove`` (no replacement)
+  ``backend_bases.FigureManagerBase.show_popup`` (this never did anything)
+- ``backend_wx.SubplotToolWx`` (no replacement)
+- ``backend_wx.Toolbar`` (use ``backend_wx.NavigationToolbar2Wx`` instead)
+- ``cbook.align_iterators`` (no replacement)
+- ``contour.ContourLabeler.get_real_label_width`` (no replacement)
+- ``legend.Legend.draggable`` (use `.legend.Legend.set_draggable()` instead)
+- ``texmanager.TexManager.postscriptd``, ``texmanager.TexManager.pscnt``,
+  ``texmanager.TexManager.make_ps``, ``texmanager.TexManager.get_ps_bbox``
+  (no replacements)
+
+Arguments
+~~~~~~~~~
+- The *fig* kwarg to `.GridSpec.get_subplot_params` and
+  `.GridSpecFromSubplotSpec.get_subplot_params` (use the argument
+  *figure* instead)
+- Passing 'box-forced' to `.Axes.set_adjustable` (use 'box' instead)
+- Support for the strings 'on'/'true'/'off'/'false' to mean
+  `True` / `False` (directly use `True` / `False` instead).
+  The following functions are affected:
+
+  - `.axes.Axes.grid`
+  - `.Axes3D.grid`
+  - `.Axis.set_tick_params`
+  - `.pyplot.box`
+- Using `.pyplot.axes` with an `.axes.Axes` type argument
+  (use `.pyplot.sca` instead)
+
+Other
+~~~~~
+The following miscellaneous API elements have been removed
+
+- svgfont support (in :rc:`svg.fonttype`)
+- Logging is now done with the standard python ``logging`` library.
+  ``matplotlib.verbose`` and the command line switches ``--verbose-LEVEL`` have
+  been removed.
+
+  To control the logging output use::
+
+    import logging
+    logger = logging.getLogger('matplotlib')
+    logger.setLevel(logging.INFO)
+    # configure log handling: Either include it into your ``logging`` hierarchy,
+    # e.g. by configuring a root logger using ``logging.basicConfig()``,
+    # or add a standalone handler to the matplotlib logger:
+    logger.addHandler(logging.StreamHandler())
+
+- ``__version__numpy__``
+- ``collections.CIRCLE_AREA_FACTOR``
+- ``font_manager.USE_FONTCONFIG``
+- ``font_manager.cachedir``
+
+:mod:`matplotlib.mlab` removals
+-------------------------------
+Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
+in Matplotlib 2.2 has been removed. See below for a list:
+
+- ``mlab.exp_safe`` (use `numpy.exp` instead)
+- ``mlab.amap``
+- ``mlab.logspace`` (use `numpy.logspace` instead)
+- ``mlab.rms_flat``
+- ``mlab.l1norm`` (use ``numpy.linalg.norm(a, ord=1)`` instead)
+- ``mlab.l2norm`` (use ``numpy.linalg.norm(a, ord=2)`` instead)
+- ``mlab.norm_flat`` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
+- ``mlab.frange`` (use `numpy.arange` instead)
+- ``mlab.identity`` (use `numpy.identity` instead)
+- ``mlab.base_repr``
+- ``mlab.binary_repr``
+- ``mlab.ispower2``
+- ``mlab.log2`` (use `numpy.log2` instead)
+- ``mlab.isvector``
+- ``mlab.movavg``
+- ``mlab.safe_isinf`` (use `numpy.isinf` instead)
+- ``mlab.safe_isnan`` (use `numpy.isnan` instead)
+- ``mlab.cohere_pairs`` (use `scipy.signal.coherence` instead)
+- ``mlab.entropy`` (use `scipy.stats.entropy` instead)
+- ``mlab.normpdf`` (use ``scipy.stats.norm.pdf`` instead)
+- ``mlab.find`` (use ``np.nonzero(np.ravel(condition))`` instead)
+- ``mlab.longest_contiguous_ones``
+- ``mlab.longest_ones``
+- ``mlab.PCA``
+- ``mlab.prctile`` (use `numpy.percentile` instead)
+- ``mlab.prctile_rank``
+- ``mlab.center_matrix``
+- ``mlab.rk4`` (use `scipy.integrate.ode` instead)
+- ``mlab.bivariate_normal``
+- ``mlab.get_xyz_where``
+- ``mlab.get_sparse_matrix``
+- ``mlab.dist`` (use `numpy.hypot` instead)
+- ``mlab.dist_point_to_segment``
+- ``mlab.griddata`` (use `scipy.interpolate.griddata`)
+- ``mlab.less_simple_linear_interpolation`` (use `numpy.interp`)
+- ``mlab.slopes``
+- ``mlab.stineman_interp``
+- ``mlab.segments_intersect``
+- ``mlab.fftsurr``
+- ``mlab.offset_line``
+- ``mlab.quad2cubic``
+- ``mlab.vector_lengths``
+- ``mlab.distances_along_curve``
+- ``mlab.path_length``
+- ``mlab.cross_from_above``
+- ``mlab.cross_from_below``
+- ``mlab.contiguous_regions`` (use `.cbook.contiguous_regions` instead)
+- ``mlab.is_closed_polygon``
+- ``mlab.poly_between``
+- ``mlab.poly_below``
+- ``mlab.inside_poly``
+- ``mlab.csv2rec``
+- ``mlab.rec2csv`` (use `numpy.recarray.tofile` instead)
+- ``mlab.rec2text`` (use `numpy.recarray.tofile` instead)
+- ``mlab.rec_summarize``
+- ``mlab.rec_join``
+- ``mlab.recs_join``
+- ``mlab.rec_groupby``
+- ``mlab.rec_keep_fields``
+- ``mlab.rec_drop_fields``
+- ``mlab.rec_append_fields``
+- ``mlab.csvformat_factory``
+- ``mlab.get_formatd``
+- ``mlab.FormatDatetime`` (use `datetime.datetime.strftime` instead)
+- ``mlab.FormatDate`` (use `datetime.date.strftime` instead)
+- ``mlab.FormatMillions``, ``mlab.FormatThousands``, ``mlab.FormatPercent``,
+  ``mlab.FormatBool``, ``mlab.FormatInt``, ``mlab.FormatFloat``,
+  ``mlab.FormatFormatStr``, ``mlab.FormatString``, ``mlab.FormatObj``
+- ``mlab.donothing_callback``
+
+`pylab` removals
+----------------
+Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
+in Matplotlib 2.2 has been removed. This means the following functions are
+no longer available in the `pylab` module:
+
+- ``amap``
+- ``base_repr``
+- ``binary_repr``
+- ``bivariate_normal``
+- ``center_matrix``
+- ``csv2rec`` (use `numpy.recarray.tofile` instead)
+- ``dist`` (use `numpy.hypot` instead)
+- ``dist_point_to_segment``
+- ``distances_along_curve``
+- ``entropy`` (use `scipy.stats.entropy` instead)
+- ``exp_safe`` (use `numpy.exp` instead)
+- ``fftsurr``
+- ``find`` (use ``np.nonzero(np.ravel(condition))`` instead)
+- ``frange`` (use `numpy.arange` instead)
+- ``get_sparse_matrix``
+- ``get_xyz_where``
+- ``griddata`` (use `scipy.interpolate.griddata` instead)
+- ``identity`` (use `numpy.identity` instead)
+- ``inside_poly``
+- ``is_closed_polygon``
+- ``ispower2``
+- ``isvector``
+- ``l1norm`` (use ``numpy.linalg.norm(a, ord=1)`` instead)
+- ``l2norm`` (use ``numpy.linalg.norm(a, ord=2)`` instead)
+- ``log2`` (use `numpy.log2` instead)
+- ``longest_contiguous_ones``
+- ``longest_ones``
+- ``movavg``
+- ``norm_flat`` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
+- ``normpdf`` (use ``scipy.stats.norm.pdf`` instead)
+- ``path_length``
+- ``poly_below``
+- ``poly_between``
+- ``prctile`` (use `numpy.percentile` instead)
+- ``prctile_rank``
+- ``rec2csv`` (use `numpy.recarray.tofile` instead)
+- ``rec_append_fields``
+- ``rec_drop_fields``
+- ``rec_join``
+- ``rk4`` (use `scipy.integrate.ode` instead)
+- ``rms_flat``
+- ``segments_intersect``
+- ``slopes``
+- ``stineman_interp``
+- ``vector_lengths``
+
+mplot3d changes
+---------------
+
+Voxel shading
+~~~~~~~~~~~~~
+`.Axes3D.voxels` now shades the resulting voxels; for more details see
+What's new. The previous behavior can be achieved by passing ::
+
+  ax.voxels(.., shade=False)
+
+
+
+Equal aspect axes disabled
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Setting the aspect on 3D axes previously returned non-sensical results
+(e.g. see :ghissue:`1077`).  Calling ``ax.set_aspect('equal')`` or
+``ax.set_aspect(num)`` on a 3D axes now raises a
+`NotImplementedError`.
+
+`.Poly3DCollection.set_zsort`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.Poly3DCollection.set_zsort` no longer silently ignores invalid
+inputs, or `False` (which was always broken).  Passing `True` to mean
+``"average"`` is deprecated.
+
+Testing
+-------
+The ``--no-network`` flag to ``tests.py`` has been removed (no test requires
+internet access anymore).  If it is desired to disable internet access both for
+old and new versions of Matplotlib, use ``tests.py -m 'not network'`` (which is
+now a no-op).
+
+The image comparison test decorators now skip (rather than xfail) the test for
+uncomparable formats. The affected decorators are `~.image_comparison` and
+`~.check_figures_equal`. The deprecated ``ImageComparisonTest`` class is
+likewise changed.
+
+Dependency changes
+------------------
+
+NumPy
+~~~~~
+Matplotlib 3.1 now requires NumPy>=1.11.
+
+ghostscript
+~~~~~~~~~~~
+Support for ghostscript 8.60 (released in 2007) has been removed.  The oldest
+supported version of ghostscript is now 9.0 (released in 2010).
+
+Mathtext changes
+----------------
+- In constructs such as ``"$1~2$"``, mathtext now interprets the tilde as a
+  space, consistently with TeX (this was previously a parse error).
+
+Deprecations
+~~~~~~~~~~~~
+- The ``\stackrel`` mathtext command has been deprecated (it behaved differently
+  from LaTeX's ``\stackrel``.  To stack two mathtext expressions, use
+  ``\genfrac{left-delim}{right-delim}{fraction-bar-thickness}{}{top}{bottom}``.
+- The ``\mathcircled`` mathtext command (which is not a real TeX command)
+  is deprecated.  Directly use unicode characters (e.g.
+  ``"\N{CIRCLED LATIN CAPITAL LETTER A}"`` or ``"\u24b6"``) instead.
+- Support for setting :rc:`mathtext.default` to circled is deprecated.
+
+Signature deprecations
+----------------------
+The following signature related behaviours are deprecated:
+
+- The *withdash* keyword argument to `.Axes.text()`. Consider using
+  `.Axes.annotate()` instead.
+- Passing (n, 1)-shaped error arrays to `.Axes.errorbar()`, which was not
+  documented and did not work for ``n = 2``. Pass a 1D array instead.
+- The *frameon* keyword argument to `~.Figure.savefig` and the ``savefig.frameon``
+  rcParam. To emulate ``frameon = False``, set *facecolor* to fully
+  transparent (``"none"``, or ``(0, 0, 0, 0)``).
+- Passing a non-1D (typically, (n, 1)-shaped) input to `.Axes.pie`.
+  Pass a 1D array instead.
+- The `.TextPath` constructor used to silently drop ignored arguments; this
+  behavior is deprecated.
+- The *usetex* parameter of `.TextToPath.get_text_path` is deprecated and
+  folded into the *ismath* parameter, which can now take the values
+  `False`, `True`, and ``"TeX"``, consistently with other low-level
+  text processing functions.
+- Passing ``'normal'`` to `.axes.Axes.axis()` is deprecated, use
+  ``ax.axis('auto')`` instead.
+- Passing the *block* argument of `.pyplot.show` positionally is deprecated; it
+  should be passed by keyword.
+- When using the nbagg backend, `.pyplot.show` used to silently accept and ignore
+  all combinations of positional and keyword arguments.  This behavior is
+  deprecated.
+- The unused *shape* and *imlim* parameters to `.Axes.imshow` are
+  deprecated.  To avoid triggering the deprecation warning, the *filternorm*,
+  *filterrad*, *resample*, and *url* arguments should be passed by
+  keyword.
+- The *interp_at_native* parameter to `.BboxImage`, which has had no effect
+  since Matplotlib 2.0, is deprecated.
+- All arguments to the ``matplotlib.cbook.deprecation.deprecated`` decorator
+  and ``matplotlib.cbook.deprecation.warn_deprecated`` function, except the
+  first one (the version where the deprecation occurred), are now keyword-only.
+  The goal is to avoid accidentally setting the "message" argument when the
+  "name" (or "alternative") argument was intended, as this has repeatedly
+  occurred in the past.
+- The arguments of `matplotlib.testing.compare.calculate_rms` have been renamed
+  from ``expectedImage, actualImage``, to ``expected_image, actual_image``.
+- Passing positional arguments to `.Axis.set_ticklabels` beyond *ticklabels*
+  itself has no effect, and support for them is deprecated.
+- Passing ``shade=None`` to `~.axes3d.Axes3D.plot_surface` is deprecated. This
+  was an unintended implementation detail with the same semantics as
+  ``shade=False``. Please use the latter code instead.
+- `matplotlib.ticker.MaxNLocator` and its *set_params* method will issue
+  a warning on unknown keyword arguments instead of silently ignoring them.
+  Future versions will raise an error.
+
+Changes in parameter names
+--------------------------
+
+- The *arg* parameter to `matplotlib.use` has been renamed to *backend*.
+
+  This will only affect cases where that parameter has been set
+  as a keyword argument. The common usage pattern as a positional argument
+  ``matplotlib.use('Qt5Agg')`` is not affected.
+- The *normed* parameter to `.Axes.hist2d` has been renamed to *density*.
+- The *s* parameter to `.Annotation` (and indirectly `.Axes.annotate`) has
+  been renamed to *text*.
+- The *tolerence* parameter to
+  `.bezier.find_bezier_t_intersecting_with_closedpath`,
+  `.bezier.split_bezier_intersecting_with_closedpath`,
+  ``bezier.find_r_to_boundary_of_closedpath``,
+  `.bezier.split_path_inout` and `.bezier.check_if_parallel` has been renamed to
+  *tolerance*.
+
+In each case, the old parameter name remains supported (it cannot be used
+simultaneously with the new name), but support for it will be dropped in
+Matplotlib 3.3.
+
+Class/method/attribute deprecations
+-----------------------------------
+
+
+
+Support for custom backends that do not provide a
+`.GraphicsContextBase.set_hatch_color` method is deprecated.  We
+suggest that custom backends let their ``GraphicsContext`` class
+inherit from `.GraphicsContextBase`, to at least provide stubs for all
+required methods.
+
+- ``spine.Spine.is_frame_like``
+
+This has not been used in the codebase since its addition in 2009.
+
+- ``axis3d.Axis.get_tick_positions``
+
+  This has never been used internally, there is no equivalent method exists on
+  the 2D Axis classes, and despite the similar name, it has a completely
+  different behavior from the 2D Axis' ``axis.Axis.get_ticks_position`` method.
+- ``.backend_pgf.LatexManagerFactory``
+
+- ``mpl_toolkits.axisartist.axislines.SimpleChainedObjects``
+- ``mpl_toolkits.Axes.AxisDict``
+
+Internal Helper Functions
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``checkdep_dvipng``
+- ``checkdep_ghostscript``
+- ``checkdep_pdftops``
+- ``checkdep_inkscape``
+
+
+- ``ticker.decade_up``
+- ``ticker.decade_down``
+
+
+- ``cbook.dedent``
+- ``docstring.Appender``
+- ``docstring.dedent``
+- ``docstring.copy_dedent``
+
+Use the standard library's docstring manipulation tools instead, such as
+`inspect.cleandoc` and `inspect.getdoc`.
+
+
+
+- ``matplotlib.scale.get_scale_docs()``
+- ``matplotlib.pyplot.get_scale_docs()``
+
+These are considered internal and will be removed from the public API in a
+future version.
+
+- ``projections.process_projection_requirements``
+
+- ``backend_ps.PsBackendHelper``
+- ``backend_ps.ps_backend_helper``,
+
+- ``cbook.iterable``
+- ``cbook.get_label``
+- ``cbook.safezip``
+  Manually check the lengths of the inputs instead, or rely on NumPy to do it.
+- ``cbook.is_hashable``
+  Use ``isinstance(..., collections.abc.Hashable)`` instead.
+
+- The ``.backend_bases.RendererBase.strip_math``.  Use
+  `.cbook.strip_math` instead.
+
+Multiple internal functions that were exposed as part of the public API
+of `.mpl_toolkits.mplot3d` are deprecated,
+
+**mpl_toolkits.mplot3d.art3d**
+
+- ``mpl_toolkits.mplot3d.art3d.norm_angle``
+- ``mpl_toolkits.mplot3d.art3d.norm_text_angle``
+- ``mpl_toolkits.mplot3d.art3d.path_to_3d_segment``
+- ``mpl_toolkits.mplot3d.art3d.paths_to_3d_segments``
+- ``mpl_toolkits.mplot3d.art3d.path_to_3d_segment_with_codes``
+- ``mpl_toolkits.mplot3d.art3d.paths_to_3d_segments_with_codes``
+- ``mpl_toolkits.mplot3d.art3d.get_patch_verts``
+- ``mpl_toolkits.mplot3d.art3d.get_colors``
+- ``mpl_toolkits.mplot3d.art3d.zalpha``
+
+**mpl_toolkits.mplot3d.proj3d**
+
+- ``mpl_toolkits.mplot3d.proj3d.line2d``
+- ``mpl_toolkits.mplot3d.proj3d.line2d_dist``
+- ``mpl_toolkits.mplot3d.proj3d.line2d_seg_dist``
+- ``mpl_toolkits.mplot3d.proj3d.mod``
+- ``mpl_toolkits.mplot3d.proj3d.proj_transform_vec``
+- ``mpl_toolkits.mplot3d.proj3d.proj_transform_vec_clip``
+- ``mpl_toolkits.mplot3d.proj3d.vec_pad_ones``
+- ``mpl_toolkits.mplot3d.proj3d.proj_trans_clip_points``
+
+If your project relies on these functions, consider vendoring them.
+
+
+Font Handling
+~~~~~~~~~~~~~
+
+- ``backend_pdf.RendererPdf.afm_font_cache``
+- ``backend_ps.RendererPS.afmfontd``
+- ``font_manager.OSXInstalledFonts``
+- ``.TextToPath.glyph_to_path`` (Instead call ``font.get_path()`` and manually
+  transform the path.)
+
+
+Date related functions
+~~~~~~~~~~~~~~~~~~~~~~
+
+- ``dates.seconds()``
+- ``dates.minutes()``
+- ``dates.hours()``
+- ``dates.weeks()``
+- ``dates.strpdate2num``
+- ``dates.bytespdate2num``
+
+These are brittle in the presence of locale changes.  Use standard datetime
+parsers such as `time.strptime` or `dateutil.parser.parse`, and additionally
+call `matplotlib.dates.date2num` if you need to convert to Matplotlib's
+internal datetime representation; or use ``dates.datestr2num``.
+
+Axes3D
+~~~~~~
+
+- ``.axes3d.Axes3D.w_xaxis``
+- ``.axes3d.Axes3D.w_yaxis``
+- ``.axes3d.Axes3D.w_zaxis``
+
+Use ``axes3d.Axes3D.xaxis``, ``axes3d.Axes3D.yaxis`` and
+``axes3d.Axes3D.zaxis`` instead.
+
+Testing
+~~~~~~~
+
+- ``matplotlib.testing.decorators.switch_backend`` decorator
+
+Test functions should use ``pytest.mark.backend``, and the mark will be
+picked up by the ``matplotlib.testing.conftest.mpl_test_settings`` fixture.
+
+Quiver
+~~~~~~
+
+- ``.color`` attribute of `.Quiver` objects
+
+Instead, use (as for any `.Collection`) the ``get_facecolor`` method.
+Note that setting to the ``.color`` attribute did not update the quiver artist,
+whereas calling ``set_facecolor`` does.
+
+GUI / backend details
+~~~~~~~~~~~~~~~~~~~~~
+
+- ``.get_py2exe_datafiles``
+- ``.tk_window_focus``
+- ``.backend_gtk3.FileChooserDialog``
+- ``.backend_gtk3.NavigationToolbar2GTK3.get_filechooser``
+- ``.backend_gtk3.SaveFigureGTK3.get_filechooser``
+- ``.NavigationToolbar2QT.adj_window`` attribute. This is unused and always ``None``.
+- ``.backend_wx.IDLE_DELAY`` global variable
+  This is unused and only relevant to the now removed wx "idling" code (note that
+  as it is a module-level global, no deprecation warning is emitted when
+  accessing it).
+- ``mlab.demean``
+- ``backend_gtk3cairo.FigureCanvasGTK3Cairo``,
+- ``backend_wx.debug_on_error``, ``backend_wx.fake_stderr``,
+  ``backend_wx.raise_msg_to_str``, ``backend_wx.MenuButtonWx``,
+  ``backend_wx.PrintoutWx``,
+- ``matplotlib.backends.qt_editor.formlayout`` module
+
+This module is a vendored, modified version of the official formlayout_ module
+available on PyPI. Install that module separately if you need it.
+
+.. _formlayout: https://pypi.org/project/formlayout/
+
+- ``GraphicsContextPS.shouldstroke``
+
+
+Transforms / scales
+~~~~~~~~~~~~~~~~~~~
+
+- ``LogTransformBase``
+- ``Log10Transform``
+- ``Log2Transform``,
+- ``NaturalLogTransformLog``
+- ``InvertedLogTransformBase``
+- ``InvertedLog10Transform``
+- ``InvertedLog2Transform``
+- ``InvertedNaturalLogTransform``
+
+These classes defined in :mod:`matplotlib.scale` are deprecated.
+As a replacement, use the general `~.scale.LogTransform` and `~.scale.InvertedLogTransform`
+classes, whose constructors take a *base* argument.
+
+Locators / Formatters
+~~~~~~~~~~~~~~~~~~~~~
+
+- ``OldScalarFormatter.pprint_val``
+- ``ScalarFormatter.pprint_val``
+- ``LogFormatter.pprint_val``
+
+These are helper methods that do not have a consistent signature across
+formatter classes.
+
+Path tools
+~~~~~~~~~~
+
+- ``path.get_paths_extents``
+
+Use `~.path.get_path_collection_extents` instead.
+
+- ``.Path.has_nonfinite`` attribute
+
+Use ``not np.isfinite(path.vertices).all()`` instead.
+
+- ``.bezier.find_r_to_boundary_of_closedpath`` function is deprecated
+
+This has always returned None instead of the requested radius.
+
+Text
+~~~~
+
+- ``text.TextWithDash``
+- ``Text.is_math_text``
+- ``TextPath.is_math_text``
+- ``TextPath.text_get_vertices_codes`` (As an alternative, construct a new ``TextPath`` object.)
+
+Unused attributes
+~~~~~~~~~~~~~~~~~
+
+- ``NavigationToolbar2QT.buttons``
+- ``Line2D.verticalOffset``
+- ``Quiver.keytext``
+- ``Quiver.keyvec``
+- ``SpanSelector.buttonDown``
+
+These are unused and never updated.
+
+
+Sphinx extensions
+~~~~~~~~~~~~~~~~~
+
+- ``matplotlib.sphinxext.mathmpl.math_directive``
+- ``matplotlib.sphinxext.plot_directive.plot_directive``
+
+This is because the ``matplotlib.sphinxext.mathmpl`` and
+``matplotlib.sphinxext.plot_directive`` interfaces have changed from the
+(Sphinx-)deprecated function-based interface to a class-based interface; this
+should not affect end users.
+
+- ``mpl_toolkits.axisartist.axis_artist.UnimplementedException``
+
+Environmental Variables
+~~~~~~~~~~~~~~~~~~~~~~~
+
+- The ``MATPLOTLIBDATA`` environment variable
+
+
+Axis
+~~~~
+
+- ``Axis.iter_ticks``
+
+This only served as a helper to the private ``Axis._update_ticks``
+
+
+Undeprecations
+--------------
+The following API elements have been un-deprecated:
+
+- The *obj_type* keyword argument to the
+  ``matplotlib.cbook.deprecation.deprecated`` decorator.
+- *xmin*, *xmax* keyword arguments to `.Axes.set_xlim` and *ymin*, *ymax*
+  keyword arguments to `.Axes.set_ylim`
+
+
+New features
+------------
+
+`.Text` now has a ``c`` alias for the ``color`` property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+For consistency with `.Line2D`, the `~.text.Text` class has gained the ``c``
+alias for the ``color`` property. For example, one can now write ::
+
+  ax.text(.5, .5, "foo", c="red")
+
+
+``Cn`` colors now support ``n>=10``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+It is now possible to go beyond the tenth color in the property cycle using
+``Cn`` syntax, e.g. ::
+
+  plt.plot([1, 2], color="C11")
+
+now uses the 12th color in the cycle.
+
+Note that previously, a construct such as::
+
+  plt.plot([1, 2], "C11")
+
+would be interpreted as a request to use color ``C1`` and marker ``1``
+(an "inverted Y").  To obtain such a plot, one should now use ::
+
+  plt.plot([1, 2], "1C1")
+
+(so that the first "1" gets correctly interpreted as a marker
+specification), or, more explicitly::
+
+  plt.plot([1, 2], marker="1", color="C1")
+
+
+New `.Formatter.format_ticks` method
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The `.Formatter` class gained a new `~.Formatter.format_ticks` method, which
+takes the list of all tick locations as a single argument and returns the list
+of all formatted values.  It is called by the axis tick handling code and, by
+default, first calls `~.Formatter.set_locs` with all locations, then repeatedly
+calls ``Formatter.__call__`` for each location.
+
+Tick-handling code in the codebase that previously performed this sequence
+(`~.Formatter.set_locs` followed by repeated ``Formatter.__call__``) have been
+updated to use `~.Formatter.format_ticks`.
+
+`~.Formatter.format_ticks` is intended to be overridden by `.Formatter`
+subclasses for which the formatting of a tick value depends on other tick
+values, such as `.ConciseDateFormatter`.
+
+Added support for RGB(A) images in pcolorfast
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+pcolorfast now accepts 3D images (RGB or RGBA) arrays if the X and Y
+specifications allow image or pcolorimage rendering; they remain unsupported by
+the more general quadmesh rendering
+
+
+Invalid inputs
+--------------
+
+Passing invalid locations to `~.Axes.legend` and `~.Axes.table` used
+to fallback on a default location.  This behavior is deprecated and
+will throw an exception in a future version.
+
+`.offsetbox.AnchoredText` is unable to handle the *horizontalalignment* or
+*verticalalignment* kwargs, and used to ignore them with a warning.  This
+behavior is deprecated and will throw an exception in a future version.
+
+Passing steps less than 1 or greater than 10 to `~.ticker.MaxNLocator` used to
+result in undefined behavior.  It now throws a `ValueError`.
+
+The signature of the (private) ``Axis._update_ticks`` has been changed to not
+take the renderer as argument anymore (that argument is unused).
diff --git a/doc/api/prev_api_changes/api_changes_3.1.1.rst b/doc/api/prev_api_changes/api_changes_3.1.1.rst
new file mode 100644
index 000000000000..7bc2466602c5
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.1.1.rst
@@ -0,0 +1,16 @@
+API Changes for 3.1.1
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+Behavior changes
+----------------
+
+Locator.nonsingular return order
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.Locator.nonsingular` (introduced in mpl 3.1) now returns a range ``v0, v1``
+with ``v0 <= v1``.  This behavior is consistent with the implementation of
+``nonsingular`` by the `.LogLocator` and `.LogitLocator` subclasses.
diff --git a/doc/api/prev_api_changes/api_changes_3.10.0.rst b/doc/api/prev_api_changes/api_changes_3.10.0.rst
new file mode 100644
index 000000000000..ac4e4e981b21
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.10.0
+======================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.10.0/behavior.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.10.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.10.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.10.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.10.0/behavior.rst b/doc/api/prev_api_changes/api_changes_3.10.0/behavior.rst
new file mode 100644
index 000000000000..ae50371fa7aa
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.0/behavior.rst
@@ -0,0 +1,122 @@
+Behavior Changes
+----------------
+
+
+onselect argument to selector widgets made optional
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *onselect* argument to `.EllipseSelector`, `.LassoSelector`, `.PolygonSelector`, and
+`.RectangleSelector` is no longer required.
+
+``NavigationToolbar2.save_figure`` now returns filepath of saved figure
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``NavigationToolbar2.save_figure`` function may return the filename of the saved figure.
+
+If a backend implements this functionality it should return `None`
+in the case where no figure is actually saved (because the user closed the dialog without saving).
+
+If the backend does not or can not implement this functionality (currently the Gtk4 backends
+and webagg backends do not) this method will return ``NavigationToolbar2.UNKNOWN_SAVED_STATUS``.
+
+SVG output: improved reproducibility
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Some SVG-format plots `produced different output on each render <https://github.com/matplotlib/matplotlib/issues/27831>`__, even with a static ``svg.hashsalt`` value configured.
+
+The problem was a non-deterministic ID-generation scheme for clip paths; the fix introduces a repeatable, monotonically increasing integer ID scheme as a replacement.
+
+Provided that plots add clip paths themselves in deterministic order, this enables repeatable (a.k.a. reproducible, deterministic) SVG output.
+
+ft2font classes are now final
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ft2font classes `.ft2font.FT2Font`, and `.ft2font.FT2Image` are now final
+and can no longer be subclassed.
+
+``InsetIndicator`` artist
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.Axes.indicate_inset` and `~.Axes.indicate_inset_zoom` now return an instance
+of `~matplotlib.inset.InsetIndicator`.  Use the
+`~matplotlib.inset.InsetIndicator.rectangle` and
+`~matplotlib.inset.InsetIndicator.connectors` properties of this artist to
+access the objects that were previously returned directly.
+
+``imshow`` *interpolation_stage* default changed to 'auto'
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *interpolation_stage* parameter of  `~.Axes.imshow` has a new default
+value 'auto'.  For images that are up-sampled less than a factor of
+three or down-sampled, image interpolation will occur in 'rgba' space.  For images
+that are up-sampled by a factor of 3 or more, then image interpolation occurs
+in 'data' space.
+
+The previous default was 'data', so down-sampled images may change subtly with
+the new default.  However, the new default also avoids floating point artifacts
+at sharp boundaries in a colormap when down-sampling.
+
+The previous behavior can achieved by setting the *interpolation_stage* parameter
+or :rc:`image.interpolation_stage` to 'data'.
+
+imshow default *interpolation* changed to 'auto'
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *interpolation* parameter of `~.Axes.imshow` has a new default
+value 'auto', changed from 'antialiased', for consistency with *interpolation_stage*
+and because the interpolation is only anti-aliasing during down-sampling.  Passing
+'antialiased' still works, and behaves exactly the same as 'auto', but is discouraged.
+
+dark_background and fivethirtyeight styles no longer set ``savefig.facecolor`` and ``savefig.edgecolor``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When using these styles, :rc:`savefig.facecolor` and :rc:`savefig.edgecolor`
+now inherit the global default value of "auto", which means that the actual
+figure colors will be used.  Previously, these rcParams were set to the same
+values as :rc:`figure.facecolor` and :rc:`figure.edgecolor`, i.e. a saved
+figure would always use the theme colors even if the user manually overrode
+them; this is no longer the case.
+
+This change should have no impact for users that do not manually set the figure
+face and edge colors.
+
+Add zorder option in QuiverKey
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``zorder`` can be used as a keyword argument to `.QuiverKey`. Previously,
+that parameter did not have any effect because the zorder was hard coded.
+
+Subfigures
+~~~~~~~~~~
+
+`.Figure.subfigures` are now added in row-major order to be consistent with
+`.Figure.subplots`.  The return value of `~.Figure.subfigures` is not changed,
+but the order of ``fig.subfigs`` is.
+
+(Sub)Figure.get_figure
+~~~~~~~~~~~~~~~~~~~~~~
+
+...in future will by default return the direct parent figure, which may be a SubFigure.
+This will make the default behavior consistent with the
+`~matplotlib.artist.Artist.get_figure` method of other artists.  To control the
+behavior, use the newly introduced *root* parameter.
+
+
+``transforms.AffineDeltaTransform`` updates correctly on axis limit changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Before this change, transform sub-graphs with ``AffineDeltaTransform`` did not update correctly.
+This PR ensures that changes to the child transform are passed through correctly.
+
+The offset string associated with ConciseDateFormatter will now invert when the axis is inverted
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, when the axis was inverted, the offset string associated with ConciseDateFormatter would not change,
+so the offset string indicated the axis was oriented in the wrong direction. Now, when the axis is inverted, the offset
+string is oriented correctly.
+
+``suptitle`` in compressed layout
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Compressed layout now automatically positions the `~.Figure.suptitle` just
+above the top row of axes.  To keep this title in its previous position,
+either pass ``in_layout=False`` or explicitly set ``y=0.98`` in the
+`~.Figure.suptitle` call.
diff --git a/doc/api/prev_api_changes/api_changes_3.10.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.10.0/deprecations.rst
new file mode 100644
index 000000000000..383c19f3c811
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.0/deprecations.rst
@@ -0,0 +1,169 @@
+Deprecations
+------------
+
+
+Positional parameters in plotting functions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Many plotting functions will restrict positional arguments to the first few parameters
+in the future. All further configuration parameters will have to be passed as keyword
+arguments. This is to enforce better code and and allow for future changes with reduced
+risk of breaking existing code.
+
+Changing ``Figure.number``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Changing ``Figure.number`` is deprecated. This value is used by `.pyplot`
+to identify figures. It must stay in sync with the pyplot internal state
+and is not intended to be modified by the user.
+
+``PdfFile.hatchPatterns``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated.
+
+(Sub)Figure.set_figure
+~~~~~~~~~~~~~~~~~~~~~~
+
+...is deprecated and in future will always raise an exception.  The parent and
+root figures of a (Sub)Figure are set at instantiation and cannot be changed.
+
+``Poly3DCollection.get_vector``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated with no replacement.
+
+Deprecated ``register`` on ``matplotlib.patches._Styles`` and subclasses
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This class method is never used internally.  Due to the internal check in the
+method it only accepts subclasses of a private baseclass embedded in the host
+class which makes it unlikely that it has been used externally.
+
+matplotlib.validate_backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+...is deprecated. Please use `matplotlib.rcsetup.validate_backend` instead.
+
+
+matplotlib.sanitize_sequence
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+...is deprecated. Please use `matplotlib.cbook.sanitize_sequence` instead.
+
+ft2font module-level constants replaced by enums
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.ft2font`-level constants have been converted to `enum` classes, and all API using
+them now take/return the new types.
+
+The following constants are now part of `.ft2font.Kerning` (without the ``KERNING_``
+prefix):
+
+- ``KERNING_DEFAULT``
+- ``KERNING_UNFITTED``
+- ``KERNING_UNSCALED``
+
+The following constants are now part of `.ft2font.LoadFlags` (without the ``LOAD_``
+prefix):
+
+- ``LOAD_DEFAULT``
+- ``LOAD_NO_SCALE``
+- ``LOAD_NO_HINTING``
+- ``LOAD_RENDER``
+- ``LOAD_NO_BITMAP``
+- ``LOAD_VERTICAL_LAYOUT``
+- ``LOAD_FORCE_AUTOHINT``
+- ``LOAD_CROP_BITMAP``
+- ``LOAD_PEDANTIC``
+- ``LOAD_IGNORE_GLOBAL_ADVANCE_WIDTH``
+- ``LOAD_NO_RECURSE``
+- ``LOAD_IGNORE_TRANSFORM``
+- ``LOAD_MONOCHROME``
+- ``LOAD_LINEAR_DESIGN``
+- ``LOAD_NO_AUTOHINT``
+- ``LOAD_TARGET_NORMAL``
+- ``LOAD_TARGET_LIGHT``
+- ``LOAD_TARGET_MONO``
+- ``LOAD_TARGET_LCD``
+- ``LOAD_TARGET_LCD_V``
+
+The following constants are now part of `.ft2font.FaceFlags`:
+
+- ``EXTERNAL_STREAM``
+- ``FAST_GLYPHS``
+- ``FIXED_SIZES``
+- ``FIXED_WIDTH``
+- ``GLYPH_NAMES``
+- ``HORIZONTAL``
+- ``KERNING``
+- ``MULTIPLE_MASTERS``
+- ``SCALABLE``
+- ``SFNT``
+- ``VERTICAL``
+
+The following constants are now part of `.ft2font.StyleFlags`:
+
+- ``ITALIC``
+- ``BOLD``
+
+FontProperties initialization
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.FontProperties` initialization is limited to the two call patterns:
+
+- single positional parameter, interpreted as fontconfig pattern
+- only keyword parameters for setting individual properties
+
+All other previously supported call patterns are deprecated.
+
+``AxLine`` ``xy1`` and ``xy2`` setters
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These setters now each take a single argument, ``xy1`` or ``xy2`` as a tuple.
+The old form, where ``x`` and ``y`` were passed as separate arguments, is
+deprecated.
+
+Calling ``pyplot.polar()`` with an existing non-polar Axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This currently plots the data into the non-polar Axes, ignoring
+the "polar" intention. This usage scenario is deprecated and
+will raise an error in the future.
+
+Passing floating-point values to ``RendererAgg.draw_text_image``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Any floating-point values passed to the *x* and *y* parameters were truncated to integers
+silently. This behaviour is now deprecated, and only `int` values should be used.
+
+Passing floating-point values to ``FT2Image``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Any floating-point values passed to the `.FT2Image` constructor, or the *x0*, *y0*, *x1*,
+and *y1* parameters of `.FT2Image.draw_rect_filled` were truncated to integers silently.
+This behaviour is now deprecated, and only `int` values should be used.
+
+``boxplot`` and ``bxp`` *vert* parameter, and ``rcParams["boxplot.vertical"]``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter *vert: bool* has been deprecated on `~.Axes.boxplot` and
+`~.Axes.bxp`. It is replaced by *orientation: {"vertical", "horizontal"}*
+for API consistency.
+
+``rcParams["boxplot.vertical"]``, which controlled the orientation of ``boxplot``,
+is deprecated without replacement.
+
+This deprecation is currently marked as pending and will be fully deprecated in Matplotlib 3.11.
+
+``violinplot`` and ``violin`` *vert* parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter *vert: bool* has been deprecated on `~.Axes.violinplot` and
+`~.Axes.violin`.
+It will be replaced by *orientation: {"vertical", "horizontal"}* for API
+consistency.
+
+This deprecation is currently marked as pending and will be fully deprecated in Matplotlib 3.11.
+
+``proj3d.proj_transform_clip``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated with no replacement.
diff --git a/doc/api/prev_api_changes/api_changes_3.10.0/development.rst b/doc/api/prev_api_changes/api_changes_3.10.0/development.rst
new file mode 100644
index 000000000000..329256b466b5
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.0/development.rst
@@ -0,0 +1,25 @@
+Development changes
+-------------------
+
+Documentation-specific custom Sphinx roles are now semi-public
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For third-party packages that derive types from Matplotlib, our use of custom roles may
+prevent Sphinx from building their docs. These custom Sphinx roles are now public solely
+for the purposes of use within projects that derive from Matplotlib types. See
+:mod:`matplotlib.sphinxext.roles` for details.
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.10, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+----------------+
+| Dependency |  min in mpl3.9  | min in mpl3.10 |
++============+=================+================+
+|   Python   |       3.9       |      3.10      |
++------------+-----------------+----------------+
+
+This is consistent with our :ref:`min_deps_policy` and `SPEC0
+<https://scientific-python.org/specs/spec-0000/>`__
diff --git a/doc/api/prev_api_changes/api_changes_3.10.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.10.0/removals.rst
new file mode 100644
index 000000000000..7ed06e7446ef
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.0/removals.rst
@@ -0,0 +1,307 @@
+Removals
+--------
+
+
+ttconv removed
+~~~~~~~~~~~~~~
+
+The ``matplotlib._ttconv`` extension has been removed. Most of its
+functionaliy was already replaced by other code, and the only thing left
+was embedding TTF fonts in PostScript in Type 42 format. This is now
+done in the PS backend using the FontTools library.
+
+Remove hard reference to ``lastevent`` in ``LocationEvent``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+This was previously used to detect exiting from axes, however the hard
+reference would keep closed `.Figure` objects and their children alive longer
+than expected.
+
+``ft2font.FT2Image.draw_rect`` and ``ft2font.FT2Font.get_xys``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... have been removed as they are unused.
+
+``Tick.set_label``, ``Tick.set_label1`` and ``Tick.set_label2``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are removed.  Calling these methods from third-party code usually had no
+effect, as the labels are overwritten at draw time by the tick formatter.
+
+
+Functions in ``mpl_toolkits.mplot3d.proj3d``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The function ``transform`` is just an alias for ``proj_transform``,
+use the latter instead.
+
+The following functions were either unused (so no longer required in Matplotlib)
+or considered private.
+
+* ``ortho_transformation``
+* ``persp_transformation``
+* ``proj_points``
+* ``proj_trans_points``
+* ``rot_x``
+* ``rotation_about_vector``
+* ``view_transformation``
+
+
+Arguments other than ``renderer`` to ``get_tightbbox``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are keyword-only arguments. This is for consistency and that
+different classes have different additional arguments.
+
+
+Method parameters renamed to match base classes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The only parameter of ``transform_affine`` and ``transform_non_affine`` in ``Transform`` subclasses is renamed
+to *values*.
+
+The *points* parameter of ``transforms.IdentityTransform.transform`` is renamed to *values*.
+
+The *trans* parameter of ``table.Cell.set_transform`` is renamed to *t* consistently with
+`.Artist.set_transform`.
+
+The *clippath* parameters of ``axis.Axis.set_clip_path``  and ``axis.Tick.set_clip_path`` are
+renamed to *path* consistently with `.Artist.set_clip_path`.
+
+The *s* parameter of ``images.NonUniformImage.set_filternorm`` is renamed to *filternorm*
+consistently with ``_ImageBase.set_filternorm``.
+
+The *s* parameter of ``images.NonUniformImage.set_filterrad`` is renamed to *filterrad*
+consistently with ``_ImageBase.set_filterrad``.
+
+The only parameter of ``Annotation.contains`` and ``Legend.contains`` is renamed to *mouseevent*
+consistently with `.Artist.contains`.
+
+Method parameters renamed
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *p* parameter of ``BboxBase.padded`` is renamed to *w_pad*, consistently with the other parameter, *h_pad*
+
+*numdecs* parameter and attribute of ``LogLocator``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are removed without replacement, because they had no effect.
+The ``PolyQuadMesh`` class requires full 2D arrays of values
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, if a masked array was input, the list of polygons within the collection
+would shrink to the size of valid polygons and users were required to keep track of
+which polygons were drawn and call ``set_array()`` with the smaller "compressed"
+array size. Passing the "compressed" and flattened array values will no longer
+work and the full 2D array of values (including the mask) should be passed
+to `.PolyQuadMesh.set_array`.
+``ContourSet.collections``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed.  `~.ContourSet` is now implemented as a single
+`~.Collection` of paths, each path corresponding to a contour level, possibly
+including multiple unconnected components.
+
+``ContourSet.antialiased``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed.  Use `~.Collection.get_antialiased` or
+`~.Collection.set_antialiased` instead.  Note that `~.Collection.get_antialiased`
+returns an array.
+
+``tcolors`` and ``tlinewidths`` attributes of ``ContourSet``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... have been removed.  Use `~.Collection.get_facecolor`, `~.Collection.get_edgecolor`
+or `~.Collection.get_linewidths` instead.
+
+
+``calc_label_rot_and_inline`` method of ``ContourLabeler``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed without replacement.
+
+
+``add_label_clabeltext`` method of ``ContourLabeler``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed.  Use `~.ContourLabeler.add_label` instead.
+Passing extra positional arguments to ``Figure.add_axes``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Positional arguments passed to `.Figure.add_axes` other than a rect or an existing
+``Axes`` were previously ignored, and is now an error.
+
+
+Artists explicitly passed in will no longer be filtered by legend() based on their label
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, artists explicitly passed to ``legend(handles=[...])`` are filtered out if
+their label starts with an underscore. This filter is no longer applied; explicitly
+filter out such artists (``[art for art in artists if not
+art.get_label().startswith('_')]``) if necessary.
+
+Note that if no handles are specified at all, then the default still filters out labels
+starting with an underscore.
+
+
+The parameter of ``Annotation.contains`` and ``Legend.contains`` is renamed to *mouseevent*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... consistently with `.Artist.contains`.
+
+
+Support for passing the "frac" key in ``annotate(..., arrowprops={"frac": ...})``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed.  This key has had no effect since Matplotlib 1.5.
+
+
+Passing non-int or sequence of non-int to ``Table.auto_set_column_width``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Column numbers are ints, and formerly passing any other type was effectively ignored.
+This has now become an error.
+
+
+Widgets
+~~~~~~~
+
+The *visible* attribute getter of ``*Selector`` widgets has been removed; use
+``get_visible`` instead.
+
+
+Auto-closing of figures when switching backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Allowable backend switches (i.e. those that do not swap a GUI event loop with another
+one) will not close existing figures. If necessary, call ``plt.close("all")`` before
+switching.
+
+
+``FigureCanvasBase.switch_backends``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed with no replacement.
+
+
+Accessing ``event.guiEvent`` after event handlers return
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is no longer supported, and ``event.guiEvent`` will be set to None once the event
+handlers return. For some GUI toolkits, it is unsafe to use the event, though you may
+separately stash the object at your own risk.
+
+
+``PdfPages(keep_empty=True)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+A zero-page PDF is not valid, thus passing ``keep_empty=True`` to `.backend_pdf.PdfPages`
+and `.backend_pgf.PdfPages`, and the ``keep_empty`` attribute of these classes, is no
+longer allowed, and empty PDF files will not be created.
+
+Furthermore, `.backend_pdf.PdfPages` no longer immediately creates the target file upon
+instantiation, but only when the first figure is saved.  To fully control file creation,
+directly pass an opened file object as argument (``with open(path, "wb") as file,
+PdfPages(file) as pdf: ...``).
+
+
+``backend_ps.psDefs``
+~~~~~~~~~~~~~~~~~~~~~
+
+The ``psDefs`` module-level variable in ``backend_ps`` has been removed with no
+replacement.
+
+
+Automatic papersize selection in PostScript
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Setting :rc:`ps.papersize` to ``'auto'`` or passing ``papersize='auto'`` to
+`.Figure.savefig` is no longer supported. Either pass an explicit paper type name, or
+omit this parameter to use the default from the rcParam.
+
+
+``RendererAgg.tostring_rgb`` and ``FigureCanvasAgg.tostring_rgb``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... have been remove with no direct replacement. Consider using ``buffer_rgba`` instead,
+which should cover most use cases.
+
+
+``NavigationToolbar2QT.message`` has been removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... with no replacement.
+
+
+``TexManager.texcache``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is considered private and has been removed. The location of the cache directory is
+clarified in the doc-string.
+
+
+``cbook`` API changes
+~~~~~~~~~~~~~~~~~~~~~
+
+``cbook.Stack`` has been removed with no replacement.
+
+``Grouper.clean()`` has been removed with no replacement. The Grouper class now cleans
+itself up automatically.
+
+The *np_load* parameter of ``cbook.get_sample_data`` has been removed; `.get_sample_data`
+now auto-loads numpy arrays. Use ``get_sample_data(..., asfileobj=False)`` instead to get
+the filename of the data file, which can then be passed to `open`, if desired.
+
+
+Calling ``paths.get_path_collection_extents`` with empty *offsets*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Calling  `~.get_path_collection_extents` with an empty *offsets* parameter has an
+ambiguous interpretation and is no longer allowed.
+
+
+``bbox.anchored()`` with no explicit container
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Not passing a *container* argument to `.BboxBase.anchored` is no longer supported.
+
+
+``INVALID_NON_AFFINE``, ``INVALID_AFFINE``, ``INVALID`` attributes of ``TransformNode``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These attributes have been removed.
+
+
+``axes_grid1`` API changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``anchored_artists.AnchoredEllipse`` has been removed. Instead, directly construct an
+`.AnchoredOffsetbox`, an `.AuxTransformBox`, and an `~.patches.Ellipse`, as demonstrated
+in :doc:`/gallery/misc/anchored_artists`.
+
+The ``axes_divider.AxesLocator`` class has been removed.  The ``new_locator`` method of
+divider instances now instead returns an opaque callable (which can still be passed to
+``ax.set_axes_locator``).
+
+``axes_divider.Divider.locate`` has been removed; use ``Divider.new_locator(...)(ax,
+renderer)`` instead.
+
+``axes_grid.CbarAxesBase.toggle_label`` has been removed. Instead, use standard methods
+for manipulating colorbar labels (`.Colorbar.set_label`) and tick labels
+(`.Axes.tick_params`).
+
+``inset_location.InsetPosition`` has been removed; use `~.Axes.inset_axes` instead.
+
+
+``axisartist`` API changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``axisartist.axes_grid`` and ``axisartist.axes_rgb`` modules, which provide wrappers
+combining the functionality of `.axes_grid1` and `.axisartist`, have been removed;
+directly use e.g. ``AxesGrid(..., axes_class=axislines.Axes)`` instead.
+
+Calling an axisartist Axes to mean `~matplotlib.pyplot.axis` has been removed; explicitly
+call the method instead.
+
+``floating_axes.GridHelperCurveLinear.get_data_boundary`` has been removed.  Use
+``grid_finder.extreme_finder(*[None] * 5)`` to get the extremes of the grid.
diff --git a/doc/api/prev_api_changes/api_changes_3.10.1.rst b/doc/api/prev_api_changes/api_changes_3.10.1.rst
new file mode 100644
index 000000000000..26d43ddf8b17
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.10.1.rst
@@ -0,0 +1,14 @@
+API Changes for 3.10.1
+======================
+
+Behaviour
+---------
+
+*alpha* parameter handling on images
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When passing and array to ``imshow(..., alpha=...)``, the parameter was silently ignored
+if the image data was a RGB or RBGA image or if :rc:`interpolation_state`
+resolved to "rbga".
+
+This is now fixed, and the alpha array overwrites any previous transparency information.
diff --git a/doc/api/prev_api_changes/api_changes_3.2.0.rst b/doc/api/prev_api_changes/api_changes_3.2.0.rst
new file mode 100644
index 000000000000..e6d79890e2cc
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.2.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.2.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.2.0/behavior.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.2.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.2.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.2.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.2.0/behavior.rst b/doc/api/prev_api_changes/api_changes_3.2.0/behavior.rst
new file mode 100644
index 000000000000..6c1960c4dfaf
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.2.0/behavior.rst
@@ -0,0 +1,323 @@
+
+Behavior changes
+----------------
+
+Reduced default value of :rc:`axes.formatter.limits`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Changed the default value of :rc:`axes.formatter.limits` from -7, 7 to
+-5, 6 for better readability.
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   fig, (ax_old, ax_new) = plt.subplots(1, 2, constrained_layout=True)
+
+   ax_new.set_title('new values (-5, 6)')
+   ax_old.set_title('old values (-7, 7)')
+
+   x = np.logspace(-8, 8, 1024)
+   y = 1e-5 * np.exp(-x / 1e5) + 1e-6
+
+   ax_old.xaxis.get_major_formatter().set_powerlimits((-7, 7))
+   ax_old.yaxis.get_major_formatter().set_powerlimits((-7, 7))
+
+   for ax in [ax_new, ax_old]:
+       ax.plot(x, y)
+       ax.set_xlim(0, 1e6)
+       ax.set_ylim(1e-6, 1e-5)
+
+
+`matplotlib.colorbar.Colorbar` uses un-normalized axes for all mappables
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Before 3.0, `matplotlib.colorbar.Colorbar` (`~.Figure.colorbar`) normalized
+all axes limits between 0 and 1 and had custom tickers to handle the
+labelling of the colorbar ticks.  After 3.0, colorbars constructed from
+mappables that were *not* contours were constructed with axes that had
+limits between ``vmin`` and ``vmax`` of the mappable's norm, and the tickers
+were made children of the normal axes tickers.
+
+This version of Matplotlib extends that to mappables made by contours, and
+allows the axes to run between the lowest boundary in the contour and the
+highest.
+
+Code that worked around the normalization between 0 and 1 will need to be
+modified.
+
+``MovieWriterRegistry``
+~~~~~~~~~~~~~~~~~~~~~~~
+`.MovieWriterRegistry` now always checks the availability of the writer classes
+before returning them.  If one wishes, for example, to get the first available
+writer, without performing the availability check on subsequent writers, it is
+now possible to iterate over the registry, which will yield the names of the
+available classes.
+
+.. _api-changes-3-2-0-autoscaling:
+
+Autoscaling
+~~~~~~~~~~~
+
+Matplotlib used to recompute autoscaled limits after every plotting
+(``plot()``, ``bar()``, etc.) call.  It now only does so when actually
+rendering the canvas, or when the user queries the Axes limits.  This is a
+major performance improvement for plots with a large number of artists.
+
+In particular, this means that artists added manually with `.Axes.add_line`,
+`.Axes.add_patch`, etc. will be taken into account by the autoscale, even
+without an explicit call to `.Axes.autoscale_view`.
+
+In some cases, this can result in different limits being reported.  If this is
+an issue, consider triggering a draw with ``fig.canvas.draw()``.
+
+Autoscaling has also changed for artists that are based on the `.Collection`
+class.  Previously, the method that calculates the automatic limits
+`.Collection.get_datalim` tried to take into account the size of objects
+in the collection and make the limits large enough to not clip any of the
+object, i.e., for `.Axes.scatter` it would make the limits large enough to not
+clip any markers in the scatter.  This is problematic when the object size is
+specified in physical space, or figure-relative space, because the transform
+from physical units to data limits requires knowing the data limits, and
+becomes invalid when the new limits are applied.  This is an inverse
+problem that is theoretically solvable (if the object is physically smaller
+than the axes), but the extra complexity was not deemed worth it, particularly
+as the most common use case is for markers in scatter that are usually small
+enough to be accommodated by the default data limit margins.
+
+While the new behavior is algorithmically simpler, it is conditional on
+properties of the `.Collection` object:
+
+1. ``offsets = None``, ``transform`` is a child of ``Axes.transData``: use the paths
+   for the automatic limits (i.e. for `.LineCollection` in `.Axes.streamplot`).
+2. ``offsets != None``, and ``offset_transform`` is child of ``Axes.transData``:
+
+   a) ``transform`` is child of ``Axes.transData``: use the ``path + offset`` for
+      limits (i.e., for `.Axes.bar`).
+   b) ``transform`` is not a child of ``Axes.transData``: just use the offsets
+      for the limits (i.e. for scatter)
+
+3. otherwise return a null `.Bbox`.
+
+While this seems complicated, the logic is simply to use the information from
+the object that are in data space for the limits, but not information that is
+in physical units.
+
+log-scale bar() / hist() autolimits
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The autolimits computation in `~.Axes.bar` and `~.Axes.hist` when the axes
+already uses log-scale has changed to match the computation when the axes is
+switched to log-scale after the call to `~.Axes.bar` and `~.Axes.hist`, and
+when calling ``bar(..., log=True)`` / ``hist(..., log=True)``: if there are
+at least two different bar heights, add the normal axes margins to them (in
+log-scale); if there is only a single bar height, expand the axes limits by one
+order of magnitude around it and then apply axes margins.
+
+
+Axes labels spanning multiple rows/columns
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Axes.label_outer`` now correctly keep the x labels and tick labels visible
+for Axes spanning multiple rows, as long as they cover the last row of the Axes
+grid.  (This is consistent with keeping the y labels and tick labels visible
+for Axes spanning multiple columns as long as they cover the first column of
+the Axes grid.)
+
+The ``Axes.is_last_row`` and ``Axes.is_last_col`` methods now correctly return
+True for Axes spanning multiple rows, as long as they cover the last row or
+column respectively.  Again this is consistent with the behavior for axes
+covering the first row or column.
+
+The ``Axes.rowNum`` and ``Axes.colNum`` attributes are deprecated, as they only
+refer to the first grid cell covered by the Axes.  Instead, use the new
+``ax.get_subplotspec().rowspan`` and ``ax.get_subplotspec().colspan``
+properties, which are `range` objects indicating the whole span of rows and
+columns covered by the subplot.
+
+(Note that all methods and attributes mentioned here actually only exist on
+the ``Subplot`` subclass of `~.axes.Axes`, which is used for grid-positioned Axes but
+not for Axes positioned directly in absolute coordinates.)
+
+The `.GridSpec` class gained the ``nrows`` and ``ncols`` properties as more
+explicit synonyms for the parameters returned by ``GridSpec.get_geometry``.
+
+
+Locators
+~~~~~~~~
+When more than `.Locator.MAXTICKS` ticks are generated, the behavior of
+`.Locator.raise_if_exceeds` changed from raising a RuntimeError to emitting a
+log at WARNING level.
+
+nonsingular Locators
+~~~~~~~~~~~~~~~~~~~~
+``Locator.nonsingular`` (introduced in mpl 3.1), ``DateLocator.nonsingular``, and
+``AutoDateLocator.nonsingular`` now returns a range ``v0, v1`` with ``v0 <= v1``.
+This behavior is consistent with the implementation of ``nonsingular`` by the
+``LogLocator`` and ``LogitLocator`` subclasses.
+
+``get_data_ratio``
+~~~~~~~~~~~~~~~~~~
+``Axes.get_data_ratio`` now takes the axes scale into account (linear, log,
+logit, etc.) before computing the y-to-x ratio.  This change allows fixed
+aspects to be applied to any combination of x and y scales.
+
+Artist sticky edges
+~~~~~~~~~~~~~~~~~~~
+Previously, the ``sticky_edges`` attribute of artists was a list of values such
+that if an axis limit coincides with a sticky edge, it would not be expanded by
+the axes margins (this is the mechanism that e.g. prevents margins from being
+added around images).
+
+``sticky_edges`` now have an additional effect on margins application: even if
+an axis limit did not coincide with a sticky edge, it cannot *cross* a sticky
+edge through margin application -- instead, the margins will only expand the
+axis limit until it bumps against the sticky edge.
+
+This change improves the margins of axes displaying a `~.Axes.streamplot`:
+
+- if the streamplot goes all the way to the edges of the vector field, then the
+  axis limits are set to match exactly the vector field limits (whereas they
+  would sometimes be off by a small floating point error previously).
+- if the streamplot does not reach the edges of the vector field (e.g., due to
+  the use of ``start_points`` and ``maxlength``), then margins expansion will
+  not cross the vector field limits anymore.
+
+This change is also used internally to ensure that polar plots don't display
+negative *r* values unless the user really passes in a negative value.
+
+``gid`` in svg output
+~~~~~~~~~~~~~~~~~~~~~
+Previously, if a figure, axis, legend or some other artists had a custom
+``gid`` set (e.g. via ``.set_gid()``), this would not be reflected in
+the svg output. Instead a default gid, like ``figure_1`` would be shown.
+This is now fixed, such that e.g. ``fig.set_gid("myfigure")`` correctly
+shows up as ``<g id="myfigure">`` in the svg file. If you relied on the
+gid having the default format, you now need to make sure not to set the
+``gid`` parameter of the artists.
+
+Fonts
+~~~~~
+Font weight guessing now first checks for the presence of the FT_STYLE_BOLD_FLAG
+before trying to match substrings in the font name.  In particular, this means
+that Times New Roman Bold is now correctly detected as bold, not normal weight.
+
+Color-like checking
+~~~~~~~~~~~~~~~~~~~
+`matplotlib.colors.is_color_like` used to return True for all string
+representations of floats. However, only those with values in 0-1 are valid
+colors (representing grayscale values). `.is_color_like` now returns False
+for string representations of floats outside 0-1.
+
+Default image interpolation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Images displayed in Matplotlib previously used nearest-neighbor
+interpolation, leading to aliasing effects for downscaling and non-integer
+upscaling.
+
+New default for :rc:`image.interpolation` is the new option "antialiased".
+``imshow(A, interpolation='antialiased')`` will apply a Hanning filter when
+resampling the data in A for display (or saving to file) *if* the upsample
+rate is less than a factor of three, and not an integer; downsampled data is
+always smoothed at resampling.
+
+To get the old behavior, set :rc:`image.interpolation` to the old default "nearest"
+(or specify the ``interpolation`` kwarg of `.Axes.imshow`)
+
+To always get the anti-aliasing behavior, no matter what the up/down sample
+rate, set :rc:`image.interpolation` to "hanning" (or one of the other filters
+available).
+
+Note that the "hanning" filter was chosen because it has only a modest
+performance penalty.  Anti-aliasing can be improved with other filters.
+
+rcParams
+~~~~~~~~
+When using `.RendererSVG` with ``rcParams["svg.image_inline"] ==
+True``, externally written images now use a single counter even if the
+``renderer.basename`` attribute is overwritten, rather than a counter per
+basename.
+
+This change will only affect you if you used ``rcParams["svg.image_inline"] = True``
+(the default is False) *and* manually modified ``renderer.basename``.
+
+Changed the default value of :rc:`axes.formatter.limits` from -7, 7 to -5, 6
+for better readability.
+
+``add_subplot()``
+~~~~~~~~~~~~~~~~~
+`.Figure.add_subplot()` and `.pyplot.subplot()` do not accept a *figure*
+keyword argument anymore. It only used to work anyway if the passed figure
+was ``self`` or the current figure, respectively.
+
+``indicate_inset()``
+~~~~~~~~~~~~~~~~~~~~
+In <= 3.1.0, `~matplotlib.axes.Axes.indicate_inset` and
+`~matplotlib.axes.Axes.indicate_inset_zoom` were documented as returning
+a 4-tuple of `~matplotlib.patches.ConnectionPatch`, where in fact they
+returned a 4-length list.
+
+They now correctly return a 4-tuple.
+`~matplotlib.axes.Axes.indicate_inset` would previously raise an error if
+the optional *inset_ax* was not supplied; it now completes successfully,
+and returns *None* instead of the tuple of ``ConnectionPatch``.
+
+PGF backend
+~~~~~~~~~~~
+The pgf backend's get_canvas_width_height now returns the canvas size in
+display units rather than in inches, which it previously did.
+The new behavior is the correct one given the uses of ``get_canvas_width_height``
+in the rest of the codebase.
+
+The pgf backend now includes images using ``\includegraphics`` instead of
+``\pgfimage`` if the version of ``graphicx`` is recent enough to support the
+``interpolate`` option (this is detected automatically).
+
+`~matplotlib.cbook`
+~~~~~~~~~~~~~~~~~~~
+The default value of the "obj_type" parameter to ``cbook.warn_deprecated`` has
+been changed from "attribute" (a default that was never used internally) to the
+empty string.
+
+Testing
+~~~~~~~
+The test suite no longer turns on the Python fault handler by default.
+Set the standard ``PYTHONFAULTHANDLER`` environment variable to do so.
+
+Backend ``supports_blit``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+Backends do not need to explicitly define the flag ``supports_blit`` anymore.
+This is only relevant for backend developers. Backends had to define the flag
+``supports_blit``. This is not needed anymore because the blitting capability
+is now automatically detected.
+
+Exception changes
+~~~~~~~~~~~~~~~~~
+Various APIs that raised a `ValueError` for incorrectly typed inputs now raise
+`TypeError` instead: `.backend_bases.GraphicsContextBase.set_clip_path`,
+``blocking_input.BlockingInput.__call__``, ``matplotlib.cm.register_cmap``,
+`.dviread.DviFont`, `.rcsetup.validate_hatch`,
+``.rcsetup.validate_animation_writer_path``, `.spines.Spine`, many classes in
+the :mod:`matplotlib.transforms` module and :mod:`matplotlib.tri` package, and
+Axes methods that take a ``norm`` parameter.
+
+If extra kwargs are passed to `.LogScale`, `TypeError` will now be
+raised instead of `ValueError`.
+
+mplot3d auto-registration
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`mpl_toolkits.mplot3d` is always registered by default now. It is no
+longer necessary to import mplot3d to create 3d axes with ::
+
+  ax = fig.add_subplot(111, projection="3d")
+
+`.SymLogNorm` now has a *base* parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, `.SymLogNorm` had no *base* keyword argument and the base was
+hard-coded to ``base=np.e``. This was inconsistent with the default behavior of
+`.SymmetricalLogScale` (which defaults to ``base=10``) and the use of the word
+"decade" in the documentation.
+
+In preparation for changing the default base to 10, calling `.SymLogNorm`
+without the new *base* keyword argument emits a deprecation warning.
diff --git a/doc/api/prev_api_changes/api_changes_3.2.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.2.0/deprecations.rst
new file mode 100644
index 000000000000..65b72c7e0558
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.2.0/deprecations.rst
@@ -0,0 +1,304 @@
+
+Deprecations
+------------
+
+`matplotlib.use`
+~~~~~~~~~~~~~~~~
+The ``warn`` parameter to `matplotlib.use()` is deprecated (catch the
+`ImportError` emitted on backend switch failure and reemit a warning yourself
+if so desired).
+
+plotfile
+~~~~~~~~
+``.pyplot.plotfile`` is deprecated in favor of separately loading and plotting
+the data.  Use pandas or NumPy to load data, and pandas or matplotlib to plot
+the resulting data.
+
+axes and axis
+~~~~~~~~~~~~~
+Setting ``Axis.major.locator``, ``Axis.minor.locator``, ``Axis.major.formatter``
+or ``Axis.minor.formatter`` to an object that is not a subclass of `.Locator` or
+`.Formatter` (respectively) is deprecated.  Note that these attributes should
+usually be set using `.Axis.set_major_locator`, `.Axis.set_minor_locator`, etc.
+which already raise an exception when an object of the wrong class is passed.
+
+Passing more than one positional argument or unsupported keyword arguments to
+`~matplotlib.axes.Axes.axis()` is deprecated (such arguments used to be
+silently ignored).
+
+``minor`` argument will become keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Using the parameter ``minor`` to ``get_*ticks()`` / ``set_*ticks()`` as a
+positional parameter is deprecated. It will become keyword-only in future
+versions.
+
+``axes_grid1``
+~~~~~~~~~~~~~~
+The ``mpl_toolkits.axes_grid1.colorbar`` module and its colorbar implementation
+are deprecated in favor of :mod:`matplotlib.colorbar`, as the former is
+essentially abandoned and the latter is a more featureful replacement with a
+nearly compatible API (for example, the following additional keywords are
+supported: ``panchor``, ``extendfrac``, ``extendrect``).
+
+The main differences are:
+
+- Setting the ticks on the colorbar is done by calling ``colorbar.set_ticks``
+  rather than ``colorbar.cbar_axis.set_xticks`` or
+  ``colorbar.cbar_axis.set_yticks``; the ``locator`` parameter to ``colorbar()``
+  is deprecated in favor of its synonym ``ticks`` (which already existed
+  previously, and is consistent with :mod:`matplotlib.colorbar`).
+- The colorbar's long axis is accessed with ``colorbar.xaxis`` or
+  ``colorbar.yaxis`` depending on the orientation, rather than
+  ``colorbar.cbar_axis``.
+- The default ticker is no longer ``MaxNLocator(5)``, but a
+  ``_ColorbarAutoLocator``.
+- Overdrawing multiple colorbars on top of one another in a single Axes (e.g.
+  when using the ``cax`` attribute of `~.axes_grid1.axes_grid.ImageGrid`
+  elements) is not supported; if you previously relied on the second colorbar
+  being drawn over the first, you can call ``cax.cla()`` to clear the axes
+  before drawing the second colorbar.
+
+During the deprecation period, the ``mpl_toolkits.legacy_colorbar``
+rcParam can be set to True to use ``mpl_toolkits.axes_grid1.colorbar`` in
+:mod:`mpl_toolkits.axes_grid1` code with a deprecation warning (the default),
+or to False to use ``matplotlib.colorbar``.
+
+Passing a ``pad`` size of ``None`` (the default) as a synonym for zero to
+the ``append_axes``, ``new_horizontal`` and ``new_vertical`` methods of
+`.axes_grid1.axes_divider.AxesDivider` is deprecated.  In a future release, the
+default value of ``None`` will mean "use :rc:`figure.subplot.wspace` or
+:rc:`figure.subplot.hspace`" (depending on the orientation).  Explicitly pass
+``pad=0`` to keep the old behavior.
+
+Axes3D
+~~~~~~
+``mplot3d.axis3d.get_flip_min_max`` is deprecated.
+
+``axes3d.unit_bbox`` is deprecated (use ``Bbox.unit`` instead).
+
+``axes3d.Axes3D.w_xaxis``, ``.w_yaxis``, and ``.w_zaxis`` are deprecated (use
+``.xaxis``, ``.yaxis``, and ``.zaxis`` instead).
+
+`matplotlib.cm`
+~~~~~~~~~~~~~~~
+``cm.revcmap`` is deprecated.  Use `.Colormap.reversed` to reverse a colormap.
+
+``cm.datad`` no longer contains entries for reversed colormaps in their
+"unconverted" form.
+
+axisartist
+~~~~~~~~~~
+``mpl_toolkits.axisartist.grid_finder.GridFinderBase`` is deprecated (its
+only use is to be inherited by the `.GridFinder` class which just provides
+more defaults in the constructor and directly sets the transforms, so
+``GridFinderBase``'s methods were just moved to `.GridFinder`).
+
+``axisartist.axis_artist.BezierPath`` is deprecated (use `.patches.PathPatch`
+to draw arbitrary Paths).
+
+``AxisArtist.line`` is now a `.patches.PathPatch` instance instead of a
+``BezierPath`` instance.
+
+Returning a factor equal to None from axisartist Locators (which are **not**
+the same as "standard" tick Locators), or passing a factor equal to None
+to axisartist Formatters (which are **not** the same as "standard" tick
+Formatters) is deprecated.  Pass a factor equal to 1 instead.
+
+For the `mpl_toolkits.axisartist.axis_artist.AttributeCopier` class, the
+constructor and the ``set_ref_artist`` method, and the *default_value*
+parameter of ``get_attribute_from_ref_artist``, are deprecated.
+
+Deprecation of the constructor means that classes inheriting from
+`.AttributeCopier` should no longer call its constructor.
+
+Locators
+~~~~~~~~
+The unused ``Locator.autoscale`` method is deprecated (pass the axis limits to
+`.Locator.view_limits` instead).
+
+Animation
+~~~~~~~~~
+The following methods and attributes of the `.MovieWriterRegistry` class are
+deprecated: ``set_dirty``, ``ensure_not_dirty``, ``reset_available_writers``,
+``avail``.
+
+``smart_bounds()``
+~~~~~~~~~~~~~~~~~~
+The "smart_bounds" functionality is deprecated.  This includes
+``Axis.set_smart_bounds()``, ``Axis.get_smart_bounds()``,
+``Spine.set_smart_bounds()``, and ``Spine.get_smart_bounds()``.
+
+``boxplot()``
+~~~~~~~~~~~~~
+Setting the ``whis`` parameter of `.Axes.boxplot` and `.cbook.boxplot_stats` to
+"range" to mean "the whole data range" is deprecated; set it to (0, 100) (which
+gets interpreted as percentiles) to achieve the same effect.
+
+``fill_between()``
+~~~~~~~~~~~~~~~~~~
+Passing scalars to parameter *where* in ``fill_between()`` and
+``fill_betweenx()`` is deprecated. While the documentation already states that
+*where* must be of the same size as *x* (or *y*), scalars were accepted and
+broadcasted to the size of *x*. Non-matching sizes will raise a ``ValueError``
+in the future.
+
+``scatter()``
+~~~~~~~~~~~~~
+Passing the *verts* parameter to `.axes.Axes.scatter` is deprecated; use the
+*marker* parameter instead.
+
+``tight_layout()``
+~~~~~~~~~~~~~~~~~~
+The ``renderer`` parameter to `.Figure.tight_layout` is deprecated; this method
+now always uses the renderer instance cached on the `.Figure`.
+
+rcParams
+~~~~~~~~
+The ``rcsetup.validate_animation_writer_path`` function is deprecated.
+
+Setting :rc:`savefig.format` to "auto" is deprecated; use its synonym "png" instead.
+
+Setting :rc:`text.hinting` to True or False is deprecated; use their synonyms
+"auto" or "none" instead.
+
+``rcsetup.update_savefig_format`` is deprecated.
+
+``rcsetup.validate_path_exists`` is deprecated (use ``os.path.exists`` to check
+whether a path exists).
+
+``rcsetup.ValidateInterval`` is deprecated.
+
+Dates
+~~~~~
+``dates.mx2num`` is deprecated.
+
+TK
+~~
+``NavigationToolbar2Tk.set_active`` is deprecated, as it has no (observable)
+effect.
+
+WX
+~~
+``FigureFrameWx.statusbar`` and ``NavigationToolbar2Wx.statbar`` are deprecated.
+The status bar can be retrieved by calling standard wx methods
+(``frame.GetStatusBar()`` and ``toolbar.GetTopLevelParent().GetStatusBar()``).
+
+``backend_wx.ConfigureSubplotsWx.configure_subplots`` and
+``backend_wx.ConfigureSubplotsWx.get_canvas`` are deprecated.
+
+PGF
+~~~
+``backend_pgf.repl_escapetext`` and ``backend_pgf.repl_mathdefault`` are
+deprecated.
+
+``RendererPgf.latexManager`` is deprecated.
+
+FigureCanvas
+~~~~~~~~~~~~
+``FigureCanvasBase.draw_cursor`` (which has never done anything and has never
+been overridden in any backend) is deprecated.
+
+``FigureCanvasMac.invalidate`` is deprecated in favor of its synonym,
+``FigureCanvasMac.draw_idle``.
+
+The ``dryrun`` parameter to the various ``FigureCanvasFoo.print_foo`` methods
+is deprecated.
+
+
+QuiverKey doc
+~~~~~~~~~~~~~
+``quiver.QuiverKey.quiverkey_doc`` is deprecated; use
+``quiver.QuiverKey.__init__.__doc__`` instead.
+
+`matplotlib.mlab`
+~~~~~~~~~~~~~~~~~
+``mlab.apply_window`` and ``mlab.stride_repeat`` are deprecated.
+
+Fonts
+~~~~~
+``font_manager.JSONEncoder`` is deprecated.  Use `.font_manager.json_dump` to
+dump a `.FontManager` instance.
+
+``font_manager.createFontList`` is deprecated.  `.font_manager.FontManager.addfont`
+is now available to register a font at a given path.
+
+The ``as_str``, ``as_rgba_str``, ``as_array``, ``get_width`` and ``get_height``
+methods of ``matplotlib.ft2font.FT2Image`` are deprecated.  Convert the ``FT2Image``
+to a NumPy array with ``np.asarray`` before processing it.
+
+Colors
+~~~~~~
+The function ``matplotlib.colors.makeMappingArray`` is not considered part of
+the public API any longer. Thus, it's deprecated.
+
+Using a string of single-character colors as a color sequence (e.g. "rgb") is
+deprecated. Use an explicit list instead.
+
+Scales
+~~~~~~
+Passing unsupported keyword arguments to `.ScaleBase`, and its subclasses
+`.LinearScale` and `.SymmetricalLogScale`, is deprecated and will raise a
+`TypeError` in 3.3.
+
+If extra keyword arguments are passed to `.LogScale`, `TypeError` will now be
+raised instead of `ValueError`.
+
+Testing
+~~~~~~~
+The ``matplotlib.testing.disable_internet`` module is deprecated.  Use (for
+example) pytest-remotedata_ instead.
+
+.. _pytest-remotedata: https://pypi.org/project/pytest-remotedata/
+
+Support in `matplotlib.testing` for nose-based tests is deprecated (a
+deprecation is emitted if using e.g. the decorators from that module while
+both 1) matplotlib's conftests have not been called and 2) nose is in
+``sys.modules``).
+
+``testing.is_called_from_pytest`` is deprecated.
+
+During the deprecation period, to force the generation of nose base tests,
+import nose first.
+
+The *switch_backend_warn* parameter to ``matplotlib.test`` has no effect and is
+deprecated.
+
+``testing.jpl_units.UnitDbl.UnitDbl.checkUnits`` is deprecated.
+
+``DivergingNorm`` renamed to ``TwoSlopeNorm``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``DivergingNorm`` was a misleading name; although the norm was
+developed with the idea that it would likely be used with diverging
+colormaps, the word 'diverging' does not describe or evoke the norm's
+mapping function.  Since that function is monotonic, continuous, and
+piece-wise linear with two segments, the norm has been renamed to
+`.TwoSlopeNorm`
+
+Misc
+~~~~
+``matplotlib.get_home`` is deprecated (use e.g. ``os.path.expanduser("~")``)
+instead.
+
+``matplotlib.compare_versions`` is deprecated (use comparison of
+``distutils.version.LooseVersion``\s instead).
+
+``matplotlib.checkdep_ps_distiller`` is deprecated.
+
+``matplotlib.figure.AxesStack`` is considered private API and will be removed
+from the public API in future versions.
+
+``BboxBase.is_unit`` is deprecated (check the Bbox extents if needed).
+
+``Affine2DBase.matrix_from_values(...)`` is deprecated.  Use (for example)
+``Affine2D.from_values(...).get_matrix()`` instead.
+
+``style.core.is_style_file`` and ``style.core.iter_style_files``
+are deprecated.
+
+The ``datapath`` rcParam
+~~~~~~~~~~~~~~~~~~~~~~~~
+Use `.get_data_path` instead.  (The rcParam is deprecated because it cannot be
+meaningfully set by an end user.)  The rcParam had no effect from 3.2.0, but
+was deprecated only in 3.2.1.  In 3.2.1+ if ``'datapath'`` is set in a
+``matplotlibrc`` file it will be respected, but this behavior will be removed in 3.3.
diff --git a/doc/api/prev_api_changes/api_changes_3.2.0/development.rst b/doc/api/prev_api_changes/api_changes_3.2.0/development.rst
new file mode 100644
index 000000000000..9af7fb8fb561
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.2.0/development.rst
@@ -0,0 +1,31 @@
+Development changes
+-------------------
+
+Windows build
+~~~~~~~~~~~~~
+Previously, when building the ``matplotlib._png`` extension, the build
+script would add "png" and "z" to the extensions ``.libraries`` attribute (if
+pkg-config information is not available, which is in particular the case on
+Windows).
+
+In particular, this implies that the Windows build would look up files named
+``png.lib`` and ``z.lib``; but neither libpng upstream nor zlib upstream
+provides these files by default.  (On Linux, this would look up ``libpng.so``
+and ``libz.so``, which are indeed standard names.)
+
+Instead, on Windows, we now look up ``libpng16.lib`` and ``zlib.lib``, which
+*are* the upstream names for the shared libraries (as of libpng 1.6.x).
+
+For a statically-linked build, the upstream names are ``libpng16_static.lib``
+and ``zlibstatic.lib``; one still needs to manually rename them if such a build
+is desired.
+
+Packaging DLLs
+~~~~~~~~~~~~~~
+Previously, it was possible to package Windows DLLs into the Matplotlib
+wheel (or sdist) by copying them into the source tree and setting the
+``package_data.dlls`` entry in ``setup.cfg``.
+
+DLLs copied in the source tree are now always packaged; the
+``package_data.dlls`` entry has no effect anymore.  If you do not want to
+include the DLLs, don't copy them into the source tree.
diff --git a/doc/api/prev_api_changes/api_changes_3.2.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.2.0/removals.rst
new file mode 100644
index 000000000000..53d76d667509
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.2.0/removals.rst
@@ -0,0 +1,83 @@
+Removals
+--------
+The ``matplotlib.testing.determinism`` module, which exposes no public API, has
+been deleted.
+
+The following API elements have been removed:
+
+- ``backend_gtk3.PIXELS_PER_INCH``
+- ``backend_pgf.re_escapetext``, ``backend_pgf.re_mathdefault``.
+- the ``matplotlib.backends.tkagg``, ``matplotlib.backends.windowing``,
+  ``matplotlib.backends.wx_compat``, and ``matplotlib.compat.subprocess``
+  modules
+- ``RcParams.msg_depr``, ``RcParams.msg_depr_ignore``,
+  ``RcParams.msg_depr_set``, ``RcParams.msg_obsolete``,
+  ``RcParams.msg_backend_obsolete``
+- ``afm.parse_afm`` (use ``afm.AFM instead``)
+- ``axes.Axes.mouseover_set``
+- ``backend_cairo.ArrayWrapper``, ``backend_cairo.RendererCairo.convert_path``
+- ``backend_gtk3.FileChooserDialog.sorted_filetypes`` (use
+  ``sorted(self.filetypes.items())`` instead)
+- ``backend_pgf.get_texcommand``
+- ``backend_pdf.PdfFile.texFontMap``
+- ``backend_ps.get_bbox``
+- ``backend_qt.FigureCanvasQt.keyAutoRepeat`` (use
+  ``event.guiEvent.isAutoRepeat`` instead), ``backend_qt.error_msg_qt``,
+  ``backend_qt.exception_handler``
+- ``backend_wx.FigureCanvasWx.macros``
+- ``backends.pylab_setup``
+- ``cbook.Bunch`` (use ``types.SimpleNamespace`` instead), ``cbook.Locked``,
+  ``cbook.unicode_safe``, ``cbook.is_numlike`` (use
+  ``isinstance(..., numbers.Number)`` instead), ``cbook.mkdirs`` (use
+  ``os.makedirs(..., exist_ok=True)`` instead), ``cbook.GetRealpathAndStat``
+  (use ``cbook.get_realpath_and_stat`` instead),
+  ``cbook.listFiles``
+- ``container.Container.set_remove_method``
+- ``contour.ContourLabeler.cl``, ``contour.ContourLabeler.cl_xy``,
+  ``contour.ContourLabeler.cl_cvalues`` (use ``labelTexts``, ``labelXYs``,
+  ``labelCValues`` instead)
+- ``dates.DateFormatter.strftime``, ``dates.DateFormatter.strftime_pre_1900``
+- ``font_manager.TempCache``, ``font_manager.FontManager.ttffiles``,
+  ``font_manager.FontManager.afmfiles``
+- ``mathtext.unichr_safe`` (use ``chr`` instead)
+- ``patches.YAArrow`` (use ``patches.FancyArrowPatch`` instead)
+- ``sphinxext.plot_directive.remove_coding``
+- ``table.Table.get_child_artists``
+- ``testing.compare.compare_float``, ``testing.decorators.CleanupTest``,
+  ``testing.decorators.ImageComparisonTest``,
+  ``testing.decorators.skip_if_command_unavailable``,
+  support for nose-based tests
+- ``text.Annotation.arrow`` (use ``text.Annotation.arrow_patch`` instead)
+- ``textpath.TextToPath.tex_font_map``
+- ``ticker.Base``, ``ticker.closeto``, ``ticker.nearest_long``
+- ``axes_grid1.axes_divider.LocatableAxesBase``,
+  ``axes_grid1.axes_divider.locatable_axes_factory``,
+  ``axes_grid1.axes_divider.Axes`` (use ``axes_grid1.mpl_axes.Axes`` instead),
+  ``axes_grid1.axes_divider.LocatableAxes`` (use ``axes_grid1.mpl_axes.Axes``
+  instead)
+- ``axisartist.axes_divider.Axes``, ``axisartist.axes_divider.LocatableAxes``
+  (use ``axisartist.axislines.Axes`` instead)
+- the *normed* keyword argument to ``hist`` (use *density* instead)
+- passing ``(verts, 0)`` or ``(..., 3)`` when specifying a marker to specify a
+  path or a circle, respectively (instead, use ``verts`` or ``"o"``,
+  respectively)
+- the ``examples.directory`` rcParam
+
+The following members of ``matplotlib.backends.backend_pdf.PdfFile`` were removed:
+
+- ``nextObject``
+- ``nextFont``
+- ``nextAlphaState``
+- ``nextHatch``
+- ``nextImage``
+- ``alphaStateObject``
+
+The ``required_interactive_framework`` attribute of backend modules introduced
+in Matplotlib 3.0 has been moved to the ``FigureCanvas`` class, in order to
+let it be inherited by third-party canvas subclasses and to make it easier to
+know what interactive framework is required by a canvas class.
+
+``backend_qt4.FigureCanvasQT5``, which is an alias for
+``backend_qt5.FigureCanvasQT`` (but only exists under that name in
+``backend_qt4``), has been removed.
+
diff --git a/doc/api/prev_api_changes/api_changes_3.3.0.rst b/doc/api/prev_api_changes/api_changes_3.3.0.rst
new file mode 100644
index 000000000000..bbe676a4ec52
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.3.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.3.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.3.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.3.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.3.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.3.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.3.0/behaviour.rst
new file mode 100644
index 000000000000..26f5c704476a
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.0/behaviour.rst
@@ -0,0 +1,341 @@
+Behaviour changes
+-----------------
+
+``Formatter.fix_minus``
+~~~~~~~~~~~~~~~~~~~~~~~
+`.Formatter.fix_minus` now performs hyphen-to-unicode-minus replacement
+whenever :rc:`axes.unicode_minus` is True; i.e. its behavior matches the one
+of ``ScalarFormatter.fix_minus`` (`.ScalarFormatter` now just inherits that
+implementation).
+
+This replacement is now used by the ``format_data_short`` method of the various
+builtin formatter classes, which affects the cursor value in the GUI toolbars.
+
+``FigureCanvasBase`` now always has a ``manager`` attribute, which may be None
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, it did not necessarily have such an attribute.  A check for
+``hasattr(figure.canvas, "manager")`` should now be replaced by
+``figure.canvas.manager is not None`` (or ``getattr(figure.canvas, "manager", None) is not None``
+for back-compatibility).
+
+`.cbook.CallbackRegistry` now propagates exceptions when no GUI event loop is running
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.cbook.CallbackRegistry` now defaults to propagating exceptions thrown by
+callbacks when no interactive GUI event loop is running.  If a GUI event loop
+*is* running, `.cbook.CallbackRegistry` still defaults to just printing a
+traceback, as unhandled exceptions can make the program completely ``abort()``
+in that case.
+
+``Axes.locator_params()`` validates ``axis`` parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.axes.Axes.locator_params` used to accept any value for ``axis`` and silently
+did nothing, when passed an unsupported value. It now raises a ``ValueError``.
+
+``Axis.set_tick_params()`` validates ``which`` parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.Axis.set_tick_params` (and the higher level `.axes.Axes.tick_params` and
+`.pyplot.tick_params`) used to accept any value for ``which`` and silently
+did nothing, when passed an unsupported value. It now raises a ``ValueError``.
+
+``Axis.set_ticklabels()`` must match ``FixedLocator.locs``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+If an axis is using a `.ticker.FixedLocator`, typically set by a call to
+`.Axis.set_ticks`, then the number of ticklabels supplied must match the
+number of locations available (``FixedFormattor.locs``).  If not, a
+``ValueError`` is raised.
+
+``backend_pgf.LatexManager.latex``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``backend_pgf.LatexManager.latex`` is now created with ``encoding="utf-8"``, so
+its ``stdin``, ``stdout``, and ``stderr`` attributes are utf8-encoded.
+
+``pyplot.xticks()`` and ``pyplot.yticks()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, passing labels without passing the ticks to either `.pyplot.xticks`
+and `.pyplot.yticks` would result in::
+
+    TypeError: object of type 'NoneType' has no len()
+
+It now raises a ``TypeError`` with a proper description of the error.
+
+Setting the same property under multiple aliases now raises a TypeError
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, calling e.g. ``plot(..., color=somecolor, c=othercolor)`` would
+emit a warning because ``color`` and ``c`` actually map to the same Artist
+property.  This now raises a TypeError.
+
+`.FileMovieWriter` temporary frames directory
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.FileMovieWriter` now defaults to writing temporary frames in a temporary
+directory, which is always cleared at exit.  In order to keep the individual
+frames saved on the filesystem, pass an explicit *frame_prefix*.
+
+`.Axes.plot` no longer accepts *x* and *y* being both 2D and with different numbers of columns
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, calling `.Axes.plot` e.g. with *x* of shape ``(n, 3)`` and *y* of
+shape ``(n, 2)`` would plot the first column of *x* against the first column
+of *y*, the second column of *x* against the second column of *y*, **and** the
+first column of *x* against the third column of *y*.  This now raises an error
+instead.
+
+`.Text.update_from` now copies usetex state from the source Text
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.Axes.stem` now defaults to ``use_line_collection=True``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This creates the stem plot as a `.LineCollection` rather than individual
+`.Line2D` objects, greatly improving performance.
+
+rcParams color validator is now stricter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, rcParams entries whose values were color-like accepted "spurious"
+extra letters or characters in the "middle" of the string, e.g. ``"(0, 1a, '0.5')"``
+would be interpreted as ``(0, 1, 0.5)``.  These extra characters (including the
+internal quotes) now cause a ValueError to be raised.
+
+`.SymLogNorm` now has a *base* parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, `.SymLogNorm` had no *base* keyword argument, and
+defaulted to ``base=np.e`` whereas the documentation said it was
+``base=10``.  In preparation to make the default 10, calling
+`.SymLogNorm` without the new *base* keyword argument emits a
+deprecation warning.
+
+
+`~.Axes.errorbar` now color cycles when only errorbar color is set
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously setting the *ecolor* would turn off automatic color cycling for the plot, leading to the
+the lines and markers defaulting to whatever the first color in the color cycle was in the case of
+multiple plot calls.
+
+`.rcsetup.validate_color_for_prop_cycle` now always raises TypeError for bytes input
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+It previously raised `TypeError`, **except** when the input was of the form
+``b"C[number]"`` in which case it raised a ValueError.
+
+`.FigureCanvasPS.print_ps` and `.FigureCanvasPS.print_eps` no longer apply edgecolor and facecolor
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These methods now assume that the figure edge and facecolor have been correctly
+applied by `.FigureCanvasBase.print_figure`, as they are normally called
+through it.
+
+This behavior is consistent with other figure saving methods
+(`.FigureCanvasAgg.print_png`, `.FigureCanvasPdf.print_pdf`,
+`.FigureCanvasSVG.print_svg`).
+
+`.pyplot.subplot()` now raises TypeError when given an incorrect number of arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This is consistent with other signature mismatch errors.  Previously a
+ValueError was raised.
+
+Shortcut for closing all figures
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Shortcuts for closing all figures now also work for the classic toolbar.
+There is no default shortcut any more because unintentionally closing all figures by a key press
+might happen too easily. You can configure the shortcut yourself
+using :rc:`keymap.quit_all`.
+
+Autoscale for arrow
+~~~~~~~~~~~~~~~~~~~
+Calling ax.arrow() will now autoscale the axes.
+
+``set_tick_params(label1On=False)`` now also makes the offset text (if any) invisible
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... because the offset text can rarely be interpreted without tick labels
+anyways.
+
+`.Axes.annotate` and `.pyplot.annotate` parameter name changed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The parameter ``s`` to `.Axes.annotate` and  `.pyplot.annotate` is renamed to
+``text``, matching `.Annotation`.
+
+The old parameter name remains supported, but
+support for it will be dropped in a future Matplotlib release.
+
+`.font_manager.json_dump` now locks the font manager dump file
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... to prevent multiple processes from writing to it at the same time.
+
+`.pyplot.rgrids` and `.pyplot.thetagrids` now act as setters also when called with only kwargs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, keyword arguments were silently ignored when no positional
+arguments were given.
+
+`.Axis.get_minorticklabels` and `.Axis.get_majorticklabels` now returns plain list
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, `.Axis.get_minorticklabels` and `.Axis.get_majorticklabels` returns
+silent_list. Their return type is now changed to normal list.
+`.get_xminorticklabels`, `.get_yminorticklabels`, `.get_zminorticklabels`,
+`.Axis.get_ticklabels`, `.get_xmajorticklabels`, `.get_ymajorticklabels` and
+`.get_zmajorticklabels` methods will be affected by this change.
+
+Default slider formatter
+~~~~~~~~~~~~~~~~~~~~~~~~
+The default method used to format `.Slider` values has been changed to use a
+`.ScalarFormatter` adapted the slider values limits.  This should ensure that
+values are displayed with an appropriate number of significant digits even if
+they are much smaller or much bigger than 1.  To restore the old behavior,
+explicitly pass a "%1.2f" as the *valfmt* parameter to `.Slider`.
+
+Add *normalize*  keyword argument to ``Axes.pie``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``pie()`` used to draw a partial pie if the sum of the values was < 1. This behavior
+is deprecated and will change to always normalizing the values to a full pie by default.
+If you want to draw a partial pie, please pass ``normalize=False`` explicitly.
+
+``table.CustomCell`` is now an alias for `.table.Cell`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+All the functionality of ``CustomCell`` has been moved to its base class
+`~.table.Cell`.
+
+wx Timer interval
+~~~~~~~~~~~~~~~~~
+Setting the timer interval on a not-yet-started ``TimerWx`` won't start it
+anymore.
+
+"step"-type histograms default to the zorder of `.Line2D`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This ensures that they go above gridlines by default.  The old ``zorder`` can
+be kept by passing it as a keyword argument to `.Axes.hist`.
+
+`.Legend` and `.OffsetBox` visibility
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.Legend` and `.OffsetBox` subclasses (`.PaddedBox`, `.AnchoredOffsetbox`, and
+`.AnnotationBbox`) no longer directly keep track of the visibility of their
+underlying `.Patch` artist, but instead pass that flag down to the `.Patch`.
+
+`.Legend` and `.Table` no longer allow invalid locations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This affects legends produced on an Axes (`.Axes.legend` and `.pyplot.legend`)
+and on a Figure (`.Figure.legend` and `.pyplot.figlegend`).  Figure legends also
+no longer accept the unsupported ``'best'`` location.  Previously, invalid Axes
+locations would use ``'best'`` and invalid Figure locations would used ``'upper
+right'``.
+
+Passing Line2D's *drawstyle* together with *linestyle* is removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Instead of ``plt.plot(..., linestyle="steps--")``, use ``plt.plot(...,
+linestyle="--", drawstyle="steps")``. ``ds`` is also an alias for
+``drawstyle``.
+
+Upper case color strings
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Support for passing single-letter colors (one of "rgbcmykw") as UPPERCASE
+characters is removed; these colors are now case-sensitive (lowercase).
+
+tight/constrained_layout no longer worry about titles that are too wide
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+*tight_layout* and *constrained_layout* shrink axes to accommodate
+"decorations" on the axes.  However, if an xlabel or title is too long in the
+x direction, making the axes smaller in the x-direction doesn't help.  The
+behavior of both has been changed to ignore the width of the title and
+xlabel and the height of the ylabel in the layout logic.
+
+This also means there is a new keyword argument for `.axes.Axes.get_tightbbox`
+and `.axis.Axis.get_tightbbox`: ``for_layout_only``, which defaults to *False*,
+but if *True* returns a bounding box using the rules above.
+
+:rc:`savefig.facecolor` and :rc:`savefig.edgecolor` now default to "auto"
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This newly allowed value for :rc:`savefig.facecolor` and :rc:`savefig.edgecolor`,
+as well as the *facecolor* and *edgecolor* parameters to `.Figure.savefig`, means
+"use whatever facecolor and edgecolor the figure current has".
+
+When using a single dataset, `.Axes.hist` no longer wraps the added artist in a `.silent_list`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When `.Axes.hist` is called with a single dataset, it adds to the axes either
+a `.BarContainer` object (when ``histtype="bar"`` or ``"barstacked"``), or a
+`.Polygon` object (when ``histype="step"`` or ``"stepfilled"``) -- the latter
+being wrapped in a list-of-one-element.  Previously, either artist would be
+wrapped in a `.silent_list`.  This is no longer the case: the `.BarContainer` is
+now returned as is (this is an API breaking change if you were directly relying
+on the concrete `list` API; however, `.BarContainer` inherits from `tuple` so
+most common operations remain available), and the list-of-one `.Polygon` is
+returned as is.  This makes the `repr` of the returned artist more accurate: it
+is now ::
+
+    <BarContainer object of 10 artists>  # "bar", "barstacked"
+    [<matplotlib.patches.Polygon object at 0xdeadbeef>]  # "step", "stepfilled"
+
+instead of ::
+
+    <a list of 10 Patch objects>  # "bar", "barstacked"
+    <a list of 1 Patch objects>  # "step", "stepfilled"
+
+When `.Axes.hist` is called with multiple artists, it still wraps its return
+value in a `.silent_list`, but uses more accurate type information ::
+
+    <a list of 3 BarContainer objects>  # "bar", "barstacked"
+    <a list of 3 List[Polygon] objects>  # "step", "stepfilled"
+
+instead of ::
+
+    <a list of 3 Lists of Patches objects>  # "bar", "barstacked"
+    <a list of 3 Lists of Patches objects>  # "step", "stepfilled"
+
+Qt and wx backends no longer create a status bar by default
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The coordinates information is now displayed in the toolbar, consistently with
+the other backends.  This is intended to simplify embedding of Matplotlib in
+larger GUIs, where Matplotlib may control the toolbar but not the status bar.
+
+:rc:`text.hinting` now supports names mapping to FreeType flags
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+:rc:`text.hinting` now supports the values "default", "no_autohint",
+"force_autohint", and "no_hinting", which directly map to the FreeType flags
+FT_LOAD_DEFAULT, etc.  The old synonyms (respectively "either", "native",
+"auto", and "none") are still supported, but their use is discouraged.  To get
+normalized values, use `.backend_agg.get_hinting_flag`, which returns integer
+flag values.
+
+`.cbook.get_sample_data` auto-loads numpy arrays
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+When `.cbook.get_sample_data` is used to load a npy or npz file and the
+keyword-only parameter ``np_load`` is True, the file is automatically loaded
+using `numpy.load`.  ``np_load`` defaults to False for backwards compatibility,
+but will become True in a later release.
+
+``get_text_width_height_descent`` now checks ``ismath`` rather than :rc:`text.usetex`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... to determine whether a string should be passed to the usetex machinery or
+not.  This allows single strings to be marked as not-usetex even when the
+rcParam is True.
+
+`.Axes.vlines`, `.Axes.hlines`, `.pyplot.vlines` and `.pyplot.hlines` *colors* parameter default change
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *colors* parameter will now default to :rc:`lines.color`, while previously it defaulted to 'k'.
+
+Aggressively autoscale clim in ``ScalerMappable`` classes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+Previously some plotting methods would defer autoscaling until the
+first draw if only one of the *vmin* or *vmax* keyword arguments were
+passed (`.Axes.scatter`, `.Axes.hexbin`, `.Axes.imshow`,
+`.Axes.pcolorfast`) but would scale based on the passed data if
+neither was passed (independent of the *norm* keyword arguments).
+Other methods (`.Axes.pcolor`, `.Axes.pcolormesh`) always autoscaled
+base on the initial data.
+
+All of the plotting methods now resolve the unset *vmin* or *vmax*
+at the initial call time using the data passed in.
+
+If you were relying on exactly one of the *vmin* or *vmax* remaining
+unset between the time when the method is called and the first time
+the figure is rendered you get back the old behavior by manually setting
+the relevant limit back to `None` ::
+
+  cm_obj.norm.vmin = None
+  # or
+  cm_obj.norm.vmax = None
+
+which will be resolved during the draw process.
diff --git a/doc/api/prev_api_changes/api_changes_3.3.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.3.0/deprecations.rst
new file mode 100644
index 000000000000..76c43b12aaaa
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.0/deprecations.rst
@@ -0,0 +1,622 @@
+Deprecations
+------------
+
+``figure.add_axes()`` without arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Calling ``fig.add_axes()`` with no arguments currently does nothing. This call
+will raise an error in the future. Adding a free-floating axes needs a position
+rectangle. If you want a figure-filling single axes, use ``add_subplot()``
+instead.
+
+``backend_wx.DEBUG_MSG``
+~~~~~~~~~~~~~~~~~~~~~~~~
+``backend_wx.DEBUG_MSG`` is deprecated.  The wx backends now use regular
+logging.
+
+``Colorbar.config_axis()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+``Colorbar.config_axis()`` is considered internal. Its use is deprecated.
+
+``NonUniformImage.is_grayscale`` and ``PcolorImage.is_grayscale``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated, for consistency with ``AxesImage.is_grayscale``,
+which was removed back in Matplotlib 2.0.0.  (Note that previously, these
+attributes were only available *after rendering the image*).
+
+``den`` parameter and attribute to :mod:`mpl_toolkits.axisartist.angle_helper`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+For all locator classes defined in :mod:`mpl_toolkits.axisartist.angle_helper`,
+the ``den`` parameter has been renamed to ``nbins``, and the ``den`` attribute
+deprecated in favor of its (preexisting) synonym ``nbins``, for consistency
+with locator classes defined in :mod:`matplotlib.ticker`.
+
+``backend_pgf.LatexManager.latex_stdin_utf8``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``backend_pgf.LatexManager.latex`` is now created with ``encoding="utf-8"``, so
+its ``stdin`` attribute is already utf8-encoded; the ``latex_stdin_utf8``
+attribute is thus deprecated.
+
+Flags containing "U" passed to `.cbook.to_filehandle` and `.cbook.open_file_cm`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Please remove "U" from flags passed to `.cbook.to_filehandle` and
+`.cbook.open_file_cm`.  This is consistent with their removal from `open` in
+Python 3.9.
+
+PDF and PS character tracking internals
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``used_characters`` attribute and ``track_characters`` and
+``merge_used_characters`` methods of `.RendererPdf`, `.PdfFile`, and
+`.RendererPS` are deprecated.
+
+Case-insensitive capstyles and joinstyles
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Please pass capstyles ("miter", "round", "bevel") and joinstyles ("butt",
+"round", "projecting") as lowercase.
+
+Passing raw data to ``register_cmap()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Passing raw data via parameters *data* and *lut* to ``matplotlib.cm.register_cmap()`` is
+deprecated. Instead, explicitly create a `.LinearSegmentedColormap` and pass
+it via the *cmap* parameter:
+``register_cmap(cmap=LinearSegmentedColormap(name, data, lut))``.
+
+``DateFormatter.illegal_s``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This attribute is unused and deprecated.
+
+``widgets.TextBox.params_to_disable``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This attribute is deprecated.
+
+Revert deprecation \*min, \*max keyword arguments to ``set_x/y/zlim_3d()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These keyword arguments  were deprecated in 3.0, alongside with the respective
+parameters in ``set_xlim()`` / ``set_ylim()``. The deprecations of the 2D
+versions were already reverted in 3.1.
+
+``cbook.local_over_kwdict``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This function is deprecated.  Use `.cbook.normalize_kwargs` instead.
+
+Passing both singular and plural *colors*, *linewidths*, *linestyles* to `.Axes.eventplot`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Passing e.g. both *linewidth* and *linewidths* will raise a TypeError in the
+future.
+
+Setting ``text.latex.preamble`` or ``pdf.preamble`` rcParams to non-strings
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These rcParams should be set to string values.  Support for None (meaning the
+empty string) and lists of strings (implicitly joined with newlines) is
+deprecated.
+
+Parameters *norm* and *vmin*/*vmax* should not be used simultaneously
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Passing parameters *norm* and *vmin*/*vmax* simultaneously to functions using
+colormapping such as ``scatter()`` and ``imshow()`` is deprecated.
+Instead of ``norm=LogNorm(), vmin=min_val, vmax=max_val`` pass
+``norm=LogNorm(min_val, max_val)``. *vmin* and *vmax* should only be used
+without setting *norm*.
+
+Effectless parameters of `.Figure.colorbar` and `matplotlib.colorbar.Colorbar`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The *cmap* and *norm* parameters of `.Figure.colorbar` and
+`matplotlib.colorbar.Colorbar` have no effect because they are always
+overridden by the mappable's colormap and norm; they are thus deprecated.
+Likewise, passing the *alpha*, *boundaries*, *values*, *extend*, or *filled*
+parameters with a `.ContourSet` mappable, or the *alpha* parameter with an
+`.Artist` mappable, is deprecated, as the mappable would likewise override
+them.
+
+``args_key`` and ``exec_key`` attributes of builtin `.MovieWriter`\s
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated.
+
+Unused parameters
+~~~~~~~~~~~~~~~~~
+The following parameters do not have any effect and are deprecated:
+
+- arbitrary keyword arguments to ``StreamplotSet``
+- parameter *quantize* of `.Path.cleaned()`
+- parameter *s* of `.AnnotationBbox.get_fontsize()`
+- parameter *label* of `.Tick`
+
+Passing *props* to `.Shadow`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The parameter *props* of `.Shadow` is deprecated. Use keyword arguments
+instead.
+
+``Axes.update_datalim_bounds``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  Use
+``ax.dataLim.set(Bbox.union([ax.dataLim, bounds]))`` instead.
+
+``{,Symmetrical}LogScale.{,Inverted}LogTransform``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``LogScale.LogTransform``, ``LogScale.InvertedLogTransform``,
+``SymmetricalScale.SymmetricalTransform`` and
+``SymmetricalScale.InvertedSymmetricalTransform`` are deprecated.  Directly
+access the transform classes from the :mod:`.scale` module.
+
+``TexManager.cachedir``, ``TexManager.rgba_arrayd``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Use `matplotlib.get_cachedir()` instead for the former; there is no replacement
+for the latter.
+
+Setting `.Line2D`\'s pickradius via `.Line2D.set_picker`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Setting a `.Line2D`\'s pickradius (i.e. the tolerance for pick events
+and containment checks) via `.Line2D.set_picker` is deprecated.  Use
+`.Line2D.set_pickradius` instead.
+
+`.Line2D.set_picker` no longer sets the artist's custom-contain() check.
+
+``Artist.set_contains``, ``Artist.get_contains``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Setting a custom method overriding `.Artist.contains` is deprecated.
+There is no replacement, but you may still customize pick events using
+`.Artist.set_picker`.
+
+`~matplotlib.colorbar.Colorbar` methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``on_mappable_changed`` and ``update_bruteforce`` methods of
+`~matplotlib.colorbar.Colorbar` are deprecated; both can be replaced by calls
+to `~matplotlib.colorbar.Colorbar.update_normal`.
+
+``OldScalarFormatter``, ``IndexFormatter`` and ``IndexDateFormatter``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These formatters are deprecated.  Their functionality can be implemented using
+e.g. `.FuncFormatter`.
+
+``OldAutoLocator``
+~~~~~~~~~~~~~~~~~~
+This ticker is deprecated.
+
+*required*, *forbidden* and *allowed* parameters of `.cbook.normalize_kwargs`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These parameters are deprecated.
+
+The ``TTFPATH`` and ``AFMPATH`` environment variables
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Support for the (undocumented) ``TTFPATH`` and ``AFMPATH`` environment
+variables is deprecated.  Additional fonts may be registered using
+``matplotlib.font_manager.fontManager.addfont()``.
+
+``matplotlib.compat``
+~~~~~~~~~~~~~~~~~~~~~
+This module is deprecated.
+
+``matplotlib.backends.qt_editor.formsubplottool``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This module is deprecated.  Use ``matplotlib.backends.backend_qt5.SubplotToolQt``
+instead.
+
+AVConv animation writer deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``AVConvBase``, ``AVConvWriter`` and ``AVConvFileWriter`` classes, and the
+associated ``animation.avconv_path`` and ``animation.avconv_args`` rcParams are
+deprecated.
+
+Debian 8 (2015, EOL 06/2020) and Ubuntu 14.04 (EOL 04/2019) were the
+last versions of Debian and Ubuntu to ship avconv.  It remains possible
+to force the use of avconv by using the ffmpeg-based writers with
+:rc:`animation.ffmpeg_path` set to "avconv".
+
+log/symlog scale base, ticks, and nonpos specification
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`~.Axes.semilogx`, `~.Axes.semilogy`, `~.Axes.loglog`, `.LogScale`, and
+`.SymmetricalLogScale` used to take keyword arguments that depends on the axis
+orientation ("basex" vs "basey", "subsx" vs "subsy", "nonposx" vs "nonposy");
+these parameter names are now deprecated in favor of "base", "subs",
+"nonpositive".  This deprecation also affects e.g. ``ax.set_yscale("log",
+basey=...)`` which must now be spelled ``ax.set_yscale("log", base=...)``.
+
+The change from "nonpos" to "nonpositive" also affects `~.scale.LogTransform`,
+`~.scale.InvertedLogTransform`, `~.scale.SymmetricalLogTransform`, etc.
+
+To use *different* bases for the x-axis and y-axis of a `~.Axes.loglog` plot,
+use e.g. ``ax.set_xscale("log", base=10); ax.set_yscale("log", base=2)``.
+
+``DraggableBase.artist_picker``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  If you previously reimplemented it in a subclass,
+set the artist's picker instead with `.Artist.set_picker`.
+
+*clear_temp* parameter and attribute of `.FileMovieWriter`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The *clear_temp* parameter and attribute of `.FileMovieWriter` is
+deprecated.  In the future, files placed in a temporary directory (using
+``frame_prefix=None``, the default) will be cleared; files placed elsewhere
+will not.
+
+Deprecated rcParams validators
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The following validators, defined in `.rcsetup`, are deprecated:
+``validate_fontset``, ``validate_mathtext_default``, ``validate_alignment``,
+``validate_svg_fonttype``, ``validate_pgf_texsystem``,
+``validate_movie_frame_fmt``, ``validate_axis_locator``,
+``validate_movie_html_fmt``, ``validate_grid_axis``,
+``validate_axes_titlelocation``, ``validate_toolbar``,
+``validate_ps_papersize``, ``validate_legend_loc``,
+``validate_bool_maybe_none``, ``validate_hinting``,
+``validate_movie_writer``, ``validate_webagg_address``,
+``validate_nseq_float``, ``validate_nseq_int``.
+To test whether an rcParam value would be acceptable, one can test e.g. ``rc =
+RcParams(); rc[k] = v`` raises an exception.
+
+Stricter rcParam validation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+:rc:`axes.axisbelow` currently normalizes all strings starting with "line"
+(case-insensitive) to the option "line".  This is deprecated; in a future
+version only the exact string "line" (case-sensitive) will be supported.
+
+``add_subplot()`` validates its inputs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+In particular, for ``add_subplot(rows, cols, index)``, all parameters must
+be integral. Previously strings and floats were accepted and converted to
+int. This will now emit a deprecation warning.
+
+Toggling axes navigation from the keyboard using "a" and digit keys
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Axes navigation can still be toggled programmatically using
+`.Axes.set_navigate`.
+
+The following related APIs are also deprecated:
+``backend_tools.ToolEnableAllNavigation``,
+``backend_tools.ToolEnableNavigation``, and ``rcParams["keymap.all_axes"]``.
+
+``matplotlib.test(recursionlimit=...)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The *recursionlimit* parameter of ``matplotlib.test`` is deprecated.
+
+mathtext glues
+~~~~~~~~~~~~~~
+The *copy* parameter of ``mathtext.Glue`` is deprecated (the underlying glue
+spec is now immutable).  ``mathtext.GlueSpec`` is deprecated.
+
+Signatures of `.Artist.draw` and `matplotlib.axes.Axes.draw`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The *inframe* parameter to `matplotlib.axes.Axes.draw` is deprecated.  Use
+`.Axes.redraw_in_frame` instead.
+
+Not passing the *renderer* parameter to `matplotlib.axes.Axes.draw` is
+deprecated. Use ``axes.draw_artist(axes)`` instead.
+
+These changes make the signature of the ``draw`` (``artist.draw(renderer)``)
+method consistent across all artists; thus, additional parameters to
+`.Artist.draw` are deprecated.
+
+``DraggableBase.on_motion_blit``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  `.DraggableBase.on_motion` now handles both the
+blitting and the non-blitting cases.
+
+Passing the dash offset as None
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Fine control of dash patterns can be achieved by passing an ``(offset,
+(on-length, off-length, on-length, off-length, ...))`` pair as the linestyle
+property of `.Line2D` and `.LineCollection`.  Previously, certain APIs would
+accept ``offset = None`` as a synonym for ``offset = 0``, but this was never
+universally implemented, e.g. for vector output.  Support for ``offset = None``
+is deprecated, set the offset to 0 instead.
+
+``RendererCairo.fontweights``, ``RendererCairo.fontangles``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated.
+
+``autofmt_xdate(which=None)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This is deprecated, use its more explicit synonym, ``which="major"``, instead.
+
+JPEG options
+~~~~~~~~~~~~
+The *quality*, *optimize*, and *progressive* keyword arguments to
+`~.Figure.savefig`, which were only used when saving to JPEG, are deprecated.
+The ``savefig.jpeg_quality`` rcParam is likewise deprecated.
+
+Such options should now be directly passed to Pillow using
+``savefig(..., pil_kwargs={"quality": ..., "optimize": ..., "progressive": ...})``.
+
+``dviread.Encoding``
+~~~~~~~~~~~~~~~~~~~~
+This class was (mostly) broken and is deprecated.
+
+Axis and Locator ``pan`` and ``zoom``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The unused ``pan`` and ``zoom`` methods of `~.axis.Axis` and `~.ticker.Locator`
+are deprecated.  Panning and zooming are now implemented using the
+``start_pan``, ``drag_pan``, and ``end_pan`` methods of `~.axes.Axes`.
+
+Passing None to various Axes subclass factories
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Support for passing ``None`` as base class to ``axes.subplot_class_factory``,
+``axes_grid1.parasite_axes.host_axes_class_factory``,
+``axes_grid1.parasite_axes.host_subplot_class_factory``,
+``axes_grid1.parasite_axes.parasite_axes_class_factory``, and
+``axes_grid1.parasite_axes.parasite_axes_auxtrans_class_factory`` is deprecated.
+Explicitly pass the correct base ``Axes`` class instead.
+
+``axes_rgb``
+~~~~~~~~~~~~
+In :mod:`mpl_toolkits.axes_grid1.axes_rgb`, ``imshow_rgb`` is deprecated (use
+``ax.imshow(np.dstack([r, g, b]))`` instead); ``RGBAxesBase`` is deprecated
+(use ``RGBAxes`` instead); ``RGBAxes.add_RGB_to_figure`` is deprecated (it was
+an internal helper).
+
+``Substitution.from_params``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  If needed, directly assign to the ``params``
+attribute of the Substitution object.
+
+PGF backend cleanups
+~~~~~~~~~~~~~~~~~~~~
+The *dummy* parameter of `.RendererPgf` is deprecated.
+
+``GraphicsContextPgf`` is deprecated (use `.GraphicsContextBase` instead).
+
+``set_factor`` method of :mod:`mpl_toolkits.axisartist` locators
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``set_factor`` method of :mod:`mpl_toolkits.axisartist` locators (which are
+different from "standard" Matplotlib tick locators) is deprecated.
+
+`.widgets.SubplotTool` callbacks and axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``funcleft``, ``funcright``, ``funcbottom``, ``functop``, ``funcwspace``,
+and ``funchspace`` methods of `.widgets.SubplotTool` are deprecated.
+
+The ``axleft``, ``axright``, ``axbottom``, ``axtop``, ``axwspace``, and
+``axhspace`` attributes of `.widgets.SubplotTool` are deprecated.  Access the
+``ax`` attribute of the corresponding slider, if needed.
+
+mathtext ``Glue`` helper classes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``Fil``, ``Fill``, ``Filll``, ``NegFil``, ``NegFill``, ``NegFilll``, and
+``SsGlue`` classes in the :mod:`matplotlib.mathtext` module are deprecated.
+As an alternative, directly construct glue instances with ``Glue("fil")``, etc.
+
+NavigationToolbar2._init_toolbar
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Overriding this method to initialize third-party toolbars is deprecated.
+Instead, the toolbar should be initialized in the ``__init__`` method of the
+subclass (which should call the base-class' ``__init__`` as appropriate).  To
+keep back-compatibility with earlier versions of Matplotlib (which *required*
+``_init_toolbar`` to be overridden), a fully empty implementation (``def
+_init_toolbar(self): pass``) may be kept and will not trigger the deprecation
+warning.
+
+NavigationToolbar2QT.parent and .basedir
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated.  In order to access the parent window, use
+``toolbar.canvas.parent()``.  Once the deprecation period is elapsed, it will
+also be accessible as ``toolbar.parent()``.  The base directory to the icons
+is ``os.path.join(mpl.get_data_path(), "images")``.
+
+NavigationToolbar2QT.ctx
+~~~~~~~~~~~~~~~~~~~~~~~~
+This attribute is deprecated.
+
+NavigationToolbar2Wx attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``prevZoomRect``, ``retinaFix``, ``savedRetinaImage``, ``wxoverlay``,
+``zoomAxes``, ``zoomStartX``, and ``zoomStartY`` attributes are deprecated.
+
+NavigationToolbar2.press and .release
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These methods were called when pressing or releasing a mouse button,
+but *only* when an interactive pan or zoom was occurring (contrary to
+what the docs stated).  They are deprecated; if you write a backend
+which needs to customize such events, please directly override
+``press_pan``/``press_zoom``/``release_pan``/``release_zoom`` instead.
+
+FigureCanvasGTK3._renderer_init
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Overriding this method to initialize renderers for GTK3 canvases is deprecated.
+Instead, the renderer should be initialized in the ``__init__`` method of the
+subclass (which should call the base-class' ``__init__`` as appropriate).  To
+keep back-compatibility with earlier versions of Matplotlib (which *required*
+``_renderer_init`` to be overridden), a fully empty implementation (``def
+_renderer_init(self): pass``) may be kept and will not trigger the deprecation
+warning.
+
+Path helpers in :mod:`.bezier`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``bezier.make_path_regular`` is deprecated.  Use ``Path.cleaned()`` (or
+``Path.cleaned(curves=True)``, etc.) instead (but note that these methods add a
+``STOP`` code at the end of the path).
+
+``bezier.concatenate_paths`` is deprecated.  Use ``Path.make_compound_path()``
+instead.
+
+``animation.html_args`` rcParam
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The unused ``animation.html_args`` rcParam and ``animation.HTMLWriter.args_key``
+attribute are deprecated.
+
+``text.latex.preview`` rcParam
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This rcParam, which controlled the use of the preview.sty LaTeX package to
+align TeX string baselines, is deprecated, as Matplotlib's own dvi parser now
+computes baselines just as well as preview.sty.
+
+``SubplotSpec.get_rows_columns``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  Use the ``GridSpec.nrows``, ``GridSpec.ncols``,
+``SubplotSpec.rowspan``, and ``SubplotSpec.colspan`` properties instead.
+
+Qt4-based backends
+~~~~~~~~~~~~~~~~~~
+The qt4agg and qt4cairo backends are deprecated. Qt4 has reached its
+end-of-life in 2015 and there are no releases for recent versions of Python.
+Please consider switching to Qt5.
+
+*fontdict* and *minor* parameters of `.Axes.set_xticklabels` and `.Axes.set_yticklabels` will become keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+All parameters of `.Figure.subplots` except *nrows* and *ncols* will become keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This avoids typing e.g. ``subplots(1, 1, 1)`` when meaning ``subplot(1, 1, 1)``,
+but actually getting ``subplots(1, 1, sharex=1)``.
+
+``RendererWx.get_gc``
+~~~~~~~~~~~~~~~~~~~~~
+This method is deprecated.  Access the ``gc`` attribute directly instead.
+
+*add_all* parameter in ``axes_grid``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The *add_all* parameter of `.axes_grid1.axes_grid.Grid`,
+`.axes_grid1.axes_grid.ImageGrid`, `.axes_grid1.axes_rgb.make_rgb_axes` and
+`.axes_grid1.axes_rgb.RGBAxes` is deprecated.  Axes are now always added to the
+parent figure, though they can be later removed with ``ax.remove()``.
+
+``BboxBase.inverse_transformed``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``.BboxBase.inverse_transformed`` is deprecated (call `.BboxBase.transformed`
+on the `~.Transform.inverted()` transform instead).
+
+*orientation* of ``eventplot()`` and `.EventCollection`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Setting the *orientation* of an ``eventplot()`` or `.EventCollection` to "none"
+or None is deprecated; set it to "horizontal" instead.  Moreover, the two
+orientations ("horizontal" and "vertical") will become case-sensitive in the
+future.
+
+*minor* kwarg to `.Axis.get_ticklocs` will become keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Passing this argument positionally is deprecated.
+
+Case-insensitive properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Normalization of upper or mixed-case property names to lowercase in
+`.Artist.set` and `.Artist.update` is deprecated.  In the future, property
+names will be passed as is, allowing one to pass names such as *patchA* or
+*UVC*.
+
+``ContourSet.ax``, ``Quiver.ax``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated in favor of ``ContourSet.axes`` and
+``Quiver.axes``, for consistency with other artists.
+
+``Locator.refresh()`` and associated methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``Locator.refresh()`` is deprecated.  This method was called at certain places
+to let locators update their internal state, typically based on the axis
+limits.  Locators should now always consult the axis limits when called, if
+needed.
+
+The associated helper methods ``NavigationToolbar2.draw()`` and
+``ToolViewsPositions.refresh_locators()`` are deprecated, and should be
+replaced by calls to ``draw_idle()`` on the corresponding canvas.
+
+`.ScalarMappable` checkers
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``add_checker`` and ``check_update`` methods and ``update_dict`` attribute
+of `.ScalarMappable` are deprecated.
+
+`.pyplot.tight_layout` and ``ColorbarBase`` parameters will become keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+All parameters of `.pyplot.tight_layout` and all parameters of ``ColorbarBase``
+except for the first (*ax*) will become keyword-only, consistently with
+`.Figure.tight_layout` and ``Colorbar``, respectively.
+
+`.Axes.pie` radius and startangle
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Passing ``None`` as either the ``radius`` or ``startangle`` of an `.Axes.pie`
+is deprecated; use the explicit defaults of 1 and 0, respectively, instead.
+
+``AxisArtist.dpi_transform``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.  Scale ``Figure.dpi_scale_trans`` by 1/72 to achieve the
+same effect.
+
+``offset_position`` property of `.Collection`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``offset_position`` property of `.Collection` is deprecated.  In the
+future, `.Collection`\s will always behave as if ``offset_position`` is set to
+"screen" (the default).
+
+Support for passing ``offset_position="data"`` to the ``draw_path_collection``
+of all renderer classes is deprecated.
+
+`.transforms.AffineDeltaTransform` can be used as a replacement.  This API is
+experimental and may change in the future.
+
+``testing.compare.make_external_conversion_command``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.
+
+``epoch2num`` and ``num2epoch`` are deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These are unused and can be easily reproduced by other date tools.
+`.get_epoch` will return Matplotlib's epoch.
+
+``axes_grid1.CbarAxes`` attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``cbid`` and ``locator`` attribute are deprecated.  Use
+``mappable.colorbar_cid`` and ``colorbar.locator``, as for standard colorbars.
+
+``qt_compat.is_pyqt5``
+~~~~~~~~~~~~~~~~~~~~~~
+This function is deprecated in prevision of the future release of PyQt6.  The
+Qt version can be checked using ``QtCore.qVersion()``.
+
+Reordering of parameters by `.Artist.set`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+In a future version, ``Artist.set`` will apply artist properties in the order
+in which they are given.  This only affects the interaction between the
+*color*, *edgecolor*, *facecolor*, and, for `.Collection`\s, *alpha*
+properties: the *color* property now needs to be passed first in order not to
+override the other properties.  This is consistent with e.g. `.Artist.update`,
+which did not reorder the properties passed to it.
+
+Passing multiple keys as a single comma-separated string or multiple arguments to `.ToolManager.update_keymap`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This is deprecated; pass keys as a list of strings instead.
+
+Statusbar classes and attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``statusbar`` attribute of `.FigureManagerBase`, ``StatusbarBase`` and all
+its subclasses, and ``StatusBarWx``, are deprecated, as messages are now
+displayed in the toolbar instead.
+
+``ismath`` parameter of ``draw_tex``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The ``ismath`` parameter of the ``draw_tex`` method of all renderer classes is
+deprecated (as a call to ``draw_tex`` -- not to be confused with ``draw_text``!
+-- means that the entire string should be passed to the ``usetex`` machinery
+anyways).  Likewise, the text machinery will no longer pass the ``ismath``
+parameter when calling ``draw_tex`` (this should only matter for backend
+implementers).
+
+Passing ``ismath="TeX!"`` to `.RendererAgg.get_text_width_height_descent` is
+deprecated.  Pass ``ismath="TeX"`` instead, consistently with other low-level
+APIs which support the values True, False, and "TeX" for ``ismath``.
+
+``matplotlib.ttconv``
+~~~~~~~~~~~~~~~~~~~~~
+This module is deprecated.
+
+
+Stricter PDF metadata keys in PGF
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Saving metadata in PDF with the PGF backend currently normalizes all keys to
+lowercase, unlike the PDF backend, which only accepts the canonical case.  This
+is deprecated; in a future version, only the canonically cased keys listed in
+the PDF specification (and the `~.backend_pgf.PdfPages` documentation) will be
+accepted.
+
+
+Qt modifier keys
+~~~~~~~~~~~~~~~~
+The ``MODIFIER_KEYS``, ``SUPER``, ``ALT``, ``CTRL``, and ``SHIFT``
+global variables of the ``matplotlib.backends.backend_qt4agg``,
+``matplotlib.backends.backend_qt4cairo``,
+:mod:`matplotlib.backends.backend_qt5agg` and
+:mod:`matplotlib.backends.backend_qt5cairo` modules are deprecated.
+
+``TexManager``
+~~~~~~~~~~~~~~
+
+The ``TexManager.serif``, ``TexManager.sans_serif``,
+``TexManager.cursive`` and ``TexManager.monospace`` attributes are
+deprecated.
diff --git a/doc/api/prev_api_changes/api_changes_3.3.0/development.rst b/doc/api/prev_api_changes/api_changes_3.3.0/development.rst
new file mode 100644
index 000000000000..9fa11e8a484a
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.0/development.rst
@@ -0,0 +1,16 @@
+Development changes
+-------------------
+
+Matplotlib now requires numpy>=1.15
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Matplotlib now uses Pillow to save and read pngs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The builtin png encoder and decoder has been removed, and Pillow is now a
+dependency.  Note that when reading 16-bit RGB(A) images, Pillow truncates them
+to 8-bit precision, whereas the old builtin decoder kept the full precision.
+
+The deprecated wx backend (not wxagg!) now always uses wx's builtin jpeg and
+tiff support rather than relying on Pillow for writing these formats; this
+behavior is consistent with wx's png output.
diff --git a/doc/api/prev_api_changes/api_changes_3.3.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.3.0/removals.rst
new file mode 100644
index 000000000000..36b63c6dcfc8
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.0/removals.rst
@@ -0,0 +1,246 @@
+Removals
+--------
+The following deprecated APIs have been removed:
+
+Modules
+~~~~~~~
+- ``backends.qt_editor.formlayout`` (use the formlayout module available on
+  PyPI instead).
+
+Classes, methods and attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+- ``artist.Artist.aname`` property (no replacement)
+
+- ``axis.Axis.iter_ticks`` (no replacement)
+
+- Support for custom backends that do not provide a
+  ``backend_bases.GraphicsContextBase.set_hatch_color`` method
+- ``backend_bases.RendererBase.strip_math()``
+  (use ``cbook.strip_math()`` instead)
+
+- ``backend_wx.debug_on_error()`` (no replacement)
+- ``backend_wx.raise_msg_to_str()`` (no replacement)
+- ``backend_wx.fake_stderr`` (no replacement)
+- ``backend_wx.MenuButtonWx`` (no replacement)
+- ``backend_wx.PrintoutWx`` (no replacement)
+- ``_backend_tk.NavigationToolbar2Tk.set_active()`` (no replacement)
+
+- ``backend_ps.PsBackendHelper.gs_exe`` property (no replacement)
+- ``backend_ps.PsBackendHelper.gs_version`` property (no replacement)
+- ``backend_ps.PsBackendHelper.supports_ps2write`` property (no replacement)
+- ``backend_ps.RendererPS.afmfontd`` property (no replacement)
+- ``backend_ps.GraphicsContextPS.shouldstroke`` property (no replacement)
+
+- ``backend_gtk3.FileChooserDialog`` (no replacement)
+- ``backend_gtk3.SaveFigureGTK3.get_filechooser()`` (no replacement)
+- ``backend_gtk3.NavigationToolbar2GTK3.get_filechooser()`` (no replacement)
+
+- ``backend_gtk3cairo.FigureManagerGTK3Cairo``
+  (use ``backend_gtk3.FigureManagerGTK3`` instead)
+
+- ``backend_pdf.RendererPdf.afm_font_cache`` property (no replacement)
+
+- ``backend_pgf.LatexManagerFactory`` (no replacement)
+
+- ``backend_qt5.NavigationToolbar2QT.buttons`` property (no replacement)
+- ``backend_qt5.NavigationToolbar2QT.adj_window`` property (no replacement)
+
+- ``bezier.find_r_to_boundary_of_closedpath()`` (no replacement)
+
+- ``cbook.dedent()`` (use `inspect.cleandoc` instead)
+- ``cbook.get_label()`` (no replacement)
+- ``cbook.is_hashable()`` (use ``isinstance(..., collections.abc.Hashable)``
+  instead)
+- ``cbook.iterable()`` (use ``numpy.iterable()`` instead)
+- ``cbook.safezip()`` (no replacement)
+
+- ``colorbar.ColorbarBase.get_cmap`` (use ``ScalarMappable.get_cmap`` instead)
+- ``colorbar.ColorbarBase.set_cmap`` (use ``ScalarMappable.set_cmap`` instead)
+- ``colorbar.ColorbarBase.get_clim`` (use ``ScalarMappable.get_clim`` instead)
+- ``colorbar.ColorbarBase.set_clim`` (use ``ScalarMappable.set_clim`` instead)
+- ``colorbar.ColorbarBase.set_norm`` (use ``ScalarMappable.set_norm`` instead)
+
+- ``dates.seconds()`` (no replacement)
+- ``dates.minutes()`` (no replacement)
+- ``dates.hours()`` (no replacement)
+- ``dates.weeks()`` (no replacement)
+- ``dates.strpdate2num`` and ``dates.bytespdate2num`` (use `time.strptime` or
+  `dateutil.parser.parse` or `.dates.datestr2num` instead)
+
+- ``docstring.Appender`` (no replacement)
+- ``docstring.dedent()`` (use `inspect.getdoc` instead)
+- ``docstring.copy_dedent()``
+  (use ``docstring.copy()`` and `inspect.getdoc` instead)
+
+- ``font_manager.OSXInstalledFonts()`` (no replacement)
+
+- ``image.BboxImage.interp_at_native`` property (no replacement)
+
+- ``lines.Line2D.verticalOffset`` property (no replacement)
+
+- ``matplotlib.checkdep_dvipng`` (no replacement)
+- ``matplotlib.checkdep_ghostscript`` (no replacement)
+- ``matplotlib.checkdep_pdftops`` (no replacement)
+- ``matplotlib.checkdep_inkscape`` (no replacement)
+- ``matplotlib.get_py2exe_datafiles`` (no replacement)
+- ``matplotlib.tk_window_focus`` (use ``rcParams['tk.window_focus']`` instead)
+
+- ``mlab.demean()`` (use ``mlab.detrend_mean()`` instead)
+
+- ``path.get_paths_extents()``
+  (use ``path.get_path_collection_extents()`` instead)
+- ``path.Path.has_nonfinite()`` (use ``not np.isfinite(self.vertices).all()``
+  instead)
+
+- ``projections.process_projection_requirements()`` (no replacement)
+
+- ``pyplot.plotfile()`` (Instead, load the data using
+  `pandas.read_csv` or `numpy.loadtxt` or similar and use regular pyplot
+  functions to plot the loaded data.)
+
+- ``quiver.Quiver.color()`` (use ``Quiver.get_facecolor()`` instead)
+- ``quiver.Quiver.keyvec`` property (no replacement)
+- ``quiver.Quiver.keytext`` property (no replacement)
+
+- ``rcsetup.validate_qt4()`` (no replacement)
+- ``rcsetup.validate_qt5()`` (no replacement)
+- ``rcsetup.validate_verbose()`` (no replacement)
+- ``rcsetup.ValidateInterval`` (no replacement)
+
+- ``scale.LogTransformBase`` (use ``scale.LogTransform`` instead)
+- ``scale.InvertedLogTransformBase`` (use ``scale.InvertedLogTransform`` instead)
+- ``scale.Log10Transform`` (use ``scale.LogTransform`` instead)
+- ``scale.InvertedLog10Transform`` (use ``scale.InvertedLogTransform`` instead)
+- ``scale.Log2Transform`` (use ``scale.LogTransform`` instead)
+- ``scale.InvertedLog2Transform`` (use ``scale.InvertedLogTransform`` instead)
+- ``scale.NaturalLogTransform`` (use ``scale.LogTransform`` instead)
+- ``scale.InvertedNaturalLogTransform`` (use ``scale.InvertedLogTransform`` instead)
+- ``scale.get_scale_docs()`` (no replacement)
+
+- ``sphinxext.plot_directive.plot_directive()``
+  (use the class ``PlotDirective`` instead)
+- ``sphinxext.mathmpl.math_directive()``
+  (use the class ``MathDirective`` instead)
+
+- ``spines.Spine.is_frame_like()`` (no replacement)
+
+- ``testing.decorators.switch_backend()`` (use ``@pytest.mark.backend``
+  decorator instead)
+
+- ``text.Text.is_math_text()`` (use ``cbook.is_math_text()`` instead)
+- ``text.TextWithDash()`` (use ``text.Annotation`` instead)
+- ``textpath.TextPath.is_math_text()`` (use ``cbook.is_math_text()`` instead)
+- ``textpath.TextPath.text_get_vertices_codes()``
+  (use ``textpath.text_to_path.get_text_path()`` instead)
+
+- ``textpath.TextToPath.glyph_to_path()`` (use ``font.get_path()`` and manual
+  translation of the vertices instead)
+
+- ``ticker.OldScalarFormatter.pprint_val()`` (no replacement)
+- ``ticker.ScalarFormatter.pprint_val()`` (no replacement)
+- ``ticker.LogFormatter.pprint_val()`` (no replacement)
+- ``ticker.decade_down()`` (no replacement)
+- ``ticker.decade_up()`` (no replacement)
+- ``Tick`` properties ``gridOn``, ``tick1On``, ``tick2On``, ``label1On``,
+  ``label2On`` (use ``set_visible()`` / ``get_visible()`` on ``Tick.gridline``,
+  ``Tick.tick1line``, ``Tick.tick2line``, ``Tick.label1``,  ``Tick.label2``
+  instead)
+
+- ``widgets.SpanSelector.buttonDown`` property (no replacement)
+
+- ``mplot3d.proj3d.line2d()`` (no replacement)
+- ``mplot3d.proj3d.line2d_dist()`` (no replacement)
+- ``mplot3d.proj3d.line2d_seg_dist()`` (no replacement)
+- ``mplot3d.proj3d.mod()`` (use `numpy.linalg.norm` instead)
+- ``mplot3d.proj3d.proj_transform_vec()`` (no replacement)
+- ``mplot3d.proj3d.proj_transform_vec_clip()`` (no replacement)
+- ``mplot3d.proj3d.vec_pad_ones()`` (no replacement)
+- ``mplot3d.proj3d.proj_trans_clip_points()`` (no replacement)
+
+- ``mplot3d.art3d.norm_angle()`` (no replacement)
+- ``mplot3d.art3d.norm_text_angle()`` (no replacement)
+- ``mplot3d.art3d.path_to_3d_segment()`` (no replacement)
+- ``mplot3d.art3d.paths_to_3d_segments()`` (no replacement)
+- ``mplot3d.art3d.path_to_3d_segment_with_codes()`` (no replacement)
+- ``mplot3d.art3d.paths_to_3d_segments_with_codes()`` (no replacement)
+- ``mplot3d.art3d.get_patch_verts()`` (no replacement)
+- ``mplot3d.art3d.get_colors()`` (no replacement)
+- ``mplot3d.art3d.zalpha()`` (no replacement)
+
+- ``mplot3d.axis3d.get_flip_min_max()`` (no replacement)
+- ``mplot3d.axis3d.Axis.get_tick_positions()`` (no replacement)
+
+- ``axisartist.axis_artist.UnimplementedException`` (no replacement)
+- ``axisartist.axislines.SimpleChainedObjects``
+  (use ``axis_grid1.mpl_axes.SimpleChainedObjects`` instead)
+- ``axisartist.axislines.Axes.AxisDict``
+  (use ``axis_grid1.mpl_axes.Axes.AxisDict`` instead)
+
+Arguments
+~~~~~~~~~
+- ``Axes.text()`` / ``pyplot.text()`` do not support the parameter ``withdash``
+  anymore. Use ``Axes.annotate()`` and ``pyplot.annotate()`` instead.
+- The first parameter of `matplotlib.use` has been renamed from ``arg`` to
+  ``backend`` (only relevant if you pass by keyword).
+- The parameter ``warn`` of `matplotlib.use` has been removed. A failure to
+  switch the backend will now always raise an ``ImportError`` if ``force`` is
+  set; catch that error if necessary.
+- All parameters of `matplotlib.use` except the first one are now keyword-only.
+- The unused parameters ``shape`` and ``imlim`` of `~.axes.Axes.imshow()` are
+  now removed. All parameters beyond ``extent`` are now keyword-only.
+- The unused parameter ``interp_at_native`` of `.BboxImage` has been removed.
+- The parameter ``usetex`` of `.TextToPath.get_text_path` has been removed.
+  Use ``ismath='TeX'`` instead.
+- The parameter ``block`` of ``show()`` is now keyword-only, and arbitrary
+  arguments or keyword arguments are no longer accepted.
+- The parameter ``frameon`` of `.Figure.savefig` has been removed.  Use
+  ``facecolor="none"`` to get a transparent background.
+- Passing a ``wx.EvtHandler`` as the first argument to ``backend_wx.TimerWx``
+  is not supported anymore; the signature of ``TimerWx`` is now consistent with
+  `.TimerBase`.
+- The ``manage_xticks`` parameter of `~.Axes.boxplot` and `~.Axes.bxp` has been
+  renamed to ``manage_ticks``.
+- The ``normed`` parameter of `~.Axes.hist2d` has been renamed to ``density``.
+- The ``s`` parameter of `.Annotation` has been renamed to ``text``.
+- For all functions in `.bezier` that supported a ``tolerance`` parameter, this
+  parameter has been renamed to ``tolerance``.
+- ``axis("normal")`` is not supported anymore. Use the equivalent
+  ``axis("auto")`` instead.
+- ``axis()`` does not accept arbitrary keyword arguments anymore.
+- ``Axis.set_ticklabels()`` does not accept arbitrary positional arguments
+  other than ``ticklabels``.
+- ``mpl_toolkits.mplot3d.art3d.Poly3DCollection.set_zsort`` does not accept
+  the value ``True`` anymore. Pass the equivalent value 'average' instead.
+- `.AnchoredText` no longer accepts ``horizontalalignment`` or
+  ``verticalalignment`` keyword arguments.
+- `.ConnectionPatch` no longer accepts the ``arrow_transmuter`` and
+  ``connector`` keyword arguments, which did nothing since 3.0.
+- `.FancyArrowPatch` no longer accepts the ``arrow_transmuter`` and
+  ``connector`` keyword arguments, which did nothing since 3.0.
+- `.TextPath` no longer accepts arbitrary positional or keyword arguments.
+- `.MaxNLocator.set_params()` no longer accepts arbitrary keyword arguments.
+- `~.Axes.pie` no longer accepts and squeezes non-1D inputs; pass 1D input to
+  the ``x`` argument.
+- Passing (n, 1)-shaped error arrays to `.Axes.errorbar()` is no longer
+  supported; pass a 1D array instead.
+
+rcParams
+~~~~~~~~
+- The ``text.latex.unicode`` rcParam has been removed, with no replacement.
+  Matplotlib now always supports unicode in usetex.
+- The ``savefig.frameon`` rcParam has been removed.  Set
+  :rc:`savefig.facecolor` to "none" to get a transparent background.
+- The ``pgf.debug``, ``verbose.fileo`` and ``verbose.verbose.level`` rcParams,
+  which had no effect, have been removed.
+- Support for setting :rc:`mathtext.default` to "circled" has been removed.
+
+Environment variables
+~~~~~~~~~~~~~~~~~~~~~
+- ``MATPLOTLIBDATA`` (no replacement).
+
+mathtext
+~~~~~~~~
+- The ``\stackrel`` command (which behaved differently from its LaTeX version)
+  has been removed.  Use ``\genfrac`` instead.
+- The ``\mathcircled`` command has been removed.  Directly use Unicode
+  characters, such as ``'\N{CIRCLED LATIN CAPITAL LETTER A}'``, instead.
diff --git a/doc/api/prev_api_changes/api_changes_3.3.1.rst b/doc/api/prev_api_changes/api_changes_3.3.1.rst
new file mode 100644
index 000000000000..3eda8a9a3a1a
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.3.1.rst
@@ -0,0 +1,22 @@
+API Changes for 3.3.1
+=====================
+
+Deprecations
+------------
+
+Reverted deprecation of ``num2epoch`` and ``epoch2num``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These two functions were deprecated in 3.3.0, and did not return
+an accurate Matplotlib datenum relative to the new Matplotlib epoch
+handling (`~.dates.get_epoch` and :rc:`date.epoch`).  This version
+reverts the deprecation.
+
+Functions ``epoch2num`` and ``dates.julian2num`` use ``date.epoch`` rcParam
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Now ``epoch2num`` and (undocumented) ``julian2num`` return floating point
+days since `~.dates.get_epoch` as set by :rc:`date.epoch`, instead of
+floating point days since the old epoch of "0000-12-31T00:00:00".  If
+needed, you can translate from the new to old values as
+``old = new + mdates.date2num(np.datetime64('0000-12-31'))``
diff --git a/doc/api/prev_api_changes/api_changes_3.4.0.rst b/doc/api/prev_api_changes/api_changes_3.4.0.rst
new file mode 100644
index 000000000000..309c1c677e1c
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.4.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.4.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.4.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.4.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.4.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.4.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.4.0/behaviour.rst
new file mode 100644
index 000000000000..e35301c11986
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.0/behaviour.rst
@@ -0,0 +1,353 @@
+Behaviour changes
+-----------------
+
+Constrained layout rewrite
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The layout manager ``constrained_layout`` was re-written with different outer
+constraints that should be more robust to complicated subplot layouts.
+User-facing changes are:
+
+- some poorly constrained layouts will have different width/height plots than
+  before.
+- colorbars now respect the ``anchor`` keyword argument of
+  `matplotlib.colorbar.make_axes`
+- colorbars are wider.
+- colorbars in different rows or columns line up more robustly.
+- *hspace* and *wspace* options to  `.Figure.set_constrained_layout_pads` were
+  twice as wide as the docs said they should be. So these now follow the docs.
+
+This feature will remain "experimental" until the new changes have been used
+enough by users, so we anticipate version 3.5 or 3.6. On the other hand,
+``constrained_layout`` is extensively tested and used in examples in the
+library, so using it should be safe, but layouts may not be exactly the same as
+more development takes place.
+
+Details of using ``constrained_layout``, and its algorithm are available at
+:ref:`constrainedlayout_guide`
+
+``plt.subplot`` re-selection without keyword arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The purpose of `.pyplot.subplot` is to facilitate creating and re-selecting
+Axes in a Figure when working strictly in the implicit pyplot API. When
+creating new Axes it is possible to select the projection (e.g. polar, 3D, or
+various cartographic projections) as well as to pass additional keyword
+arguments through to the Axes-subclass that is created.
+
+The first time `.pyplot.subplot` is called for a given position in the Axes
+grid it always creates and returns a new Axes with the passed arguments and
+projection (defaulting to rectilinear). On subsequent calls to
+`.pyplot.subplot` we have to determine if an existing Axes has a) equivalent
+parameters, in which case it should be selected as the current Axes and
+returned, or b) different parameters, in which case a new Axes is created and
+the existing Axes is removed. This leaves the question of what is "equivalent
+parameters".
+
+Previously it was the case that an existing Axes subclass, except for Axes3D,
+would be considered equivalent to a 2D rectilinear Axes, despite having
+different projections, if the keyword arguments (other than *projection*)
+matched. Thus::
+
+  ax1 = plt.subplot(1, 1, 1, projection='polar')
+  ax2 =  plt.subplots(1, 1, 1)
+  ax1 is ax2
+
+We are embracing this long standing behavior to ensure that in the case when no
+keyword arguments (of any sort) are passed to `.pyplot.subplot` any existing
+Axes is returned, without consideration for keywords or projection used to
+initially create it. This will cause a change in behavior when additional
+keywords were passed to the original Axes::
+
+  ax1 = plt.subplot(111, projection='polar', theta_offset=.75)
+  ax2 = plt.subplots(1, 1, 1)
+  ax1 is ax2         # new behavior
+  # ax1 is not ax2   # old behavior, made a new axes
+
+  ax1 = plt.subplot(111, label='test')
+  ax2 = plt.subplots(1, 1, 1)
+  ax1 is ax2         # new behavior
+  # ax1 is not ax2   # old behavior, made a new axes
+
+For the same reason, if there was an existing Axes that was not rectilinear,
+passing ``projection='rectilinear'`` would reuse the existing Axes ::
+
+  ax1 = plt.subplot(projection='polar')
+  ax2 = plt.subplot(projection='rectilinear')
+  ax1 is not ax2     # new behavior, makes new Axes
+  # ax1 is ax2       # old behavior
+
+contrary to the user's request.
+
+Previously Axes3D could not be re-selected with `.pyplot.subplot` due to an
+unrelated bug (also fixed in Matplotlib 3.4). While Axes3D are now consistent
+with all other projections there is a change in behavior for ::
+
+  plt.subplot(projection='3d')  # create a 3D Axes
+
+  plt.subplot()                 # now returns existing 3D Axes, but
+                                # previously created new 2D Axes
+
+  plt.subplot(projection='rectilinear')  # to get a new 2D Axes
+
+``ioff`` and ``ion`` can be used as context managers
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.pyplot.ion` and `.pyplot.ioff` may now be used as context managers to create
+a context with interactive mode on or off, respectively. The old behavior of
+calling these functions is maintained. To use the new functionality call as::
+
+   with plt.ioff():
+      # non-interactive code
+
+Locators and formatters must be in the class hierarchy
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Axis locators and formatters must now be subclasses of
+`~matplotlib.ticker.Locator` and `~matplotlib.ticker.Formatter` respectively.
+
+Date locator for DAILY interval now returns middle of month
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `matplotlib.dates.AutoDateLocator` has a default of
+``interval_multiples=True`` that attempts to align ticks with the start of
+meaningful intervals like the start of the month, or start of the day, etc.
+That lead to approximately 140-day intervals being mapped to the first and 22nd
+of the month. This has now been changed so that it chooses the first and 15th
+of the month, which is probably what most people want.
+
+``ScalarFormatter`` *useLocale* option obeys grouping
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When the `~.ScalarFormatter` option *useLocale* is enabled (or
+:rc:`axes.formatter.use_locale` is *True*) and the configured locale uses
+grouping, a separator will be added as described in `locale.format_string`.
+
+``Axes.errorbar`` cycles non-color properties correctly
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Formerly, `.Axes.errorbar` incorrectly skipped the Axes property cycle if a
+color was explicitly specified, even if the property cycler was for other
+properties (such as line style). Now, `.Axes.errorbar` will advance the Axes
+property cycle as done for `.Axes.plot`, i.e., as long as all properties in the
+cycler are not explicitly passed.
+
+pyplot.specgram always uses origin='upper'
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously if :rc:`image.origin` was set to something other than ``'upper'`` or
+if the *origin* keyword argument was passed with a value other than
+``'upper'``, the spectrogram itself would flip, but the Axes would remain
+oriented for an origin value of ``'upper'``, so that the resulting plot was
+incorrectly labelled.
+
+Now, the *origin* keyword argument is not supported and the ``image.origin``
+rcParam is ignored. The function `matplotlib.pyplot.specgram` is forced to use
+``origin='upper'``, so that the Axes are correct for the plotted spectrogram.
+
+xunits=None and yunits=None passed as keyword arguments are treated as "no action"
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Many (but not all) of the methods on `~.axes.Axes` take the (undocumented)
+keyword arguments *xunits* and *yunits* that will update the units on the given
+Axis by calling `.Axis.set_units` and `.Axis.update_units`.
+
+Previously if *None* was passed it would clear the value stored in
+``.Axis.units`` which will in turn break converters which rely on the value in
+``.Axis.units`` to work properly (notably `.StrCategoryConverter`).
+
+This changes the semantics of ``ax.meth(..., xunits=None, yunits=None)`` from
+"please clear the units" to "do the default thing as if they had not been
+passed" which is consistent with the standard behavior of Matplotlib keyword
+arguments.
+
+If you were relying on passing ``xunits=None`` to plotting methods to clear the
+``.Axes.units`` attribute, directly call `.Axis.set_units` (and
+`.Axis.update_units` if you also require the converter to be updated).
+
+Annotations with ``annotation_clip`` no longer affect ``tight_layout``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, `.text.Annotation.get_tightbbox` always returned the full
+`.text.Annotation.get_window_extent` of the object, independent of the value of
+``annotation_clip``. `.text.Annotation.get_tightbbox` now correctly takes this
+extra clipping box into account, meaning that `~.text.Annotation`\s that are
+not drawn because of ``annotation_clip`` will not count towards the Axes
+bounding box calculations, such as those done by `~.pyplot.tight_layout`.
+
+This is now consistent with the API described in `~.artist.Artist`, which
+specifies that ``get_window_extent`` should return the full extents and
+``get_tightbbox`` should "account for any clipping".
+
+Parasite Axes pcolor and pcolormesh now defaults to placing grid edges at integers, not half-integers
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This is consistent with `~.Axes.pcolor` and `~.Axes.pcolormesh`.
+
+``Colorbar`` outline is now a ``Spine``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The outline of `~matplotlib.colorbar.Colorbar` is now a `.Spine` and drawn as
+one, instead of a `.Polygon` drawn as an artist. This ensures it will always be
+drawn after (i.e., on top of) all artists, consistent with Spines on normal
+Axes.
+
+``Colorbar.dividers`` changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This attribute is now always a `.LineCollection` -- an empty one if
+``drawedges`` is *False*. Its default colors and linewidth
+(:rc:`axes.edgecolor`, :rc:`axes.linewidth`) are now resolved at instantiation
+time, not at draw time.
+
+Raise or warn on registering a colormap twice
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When using ``matplotlib.cm.register_cmap`` to register a user provided or
+third-party colormap it will now raise a `ValueError` if trying to over-write
+one of the built in colormaps and warn if trying to over write a user
+registered colormap. This may raise for user-registered colormaps in the
+future.
+
+Consecutive rasterized draws now merged
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Tracking of depth of raster draws has moved from
+`.backend_mixed.MixedModeRenderer.start_rasterizing` and
+`.backend_mixed.MixedModeRenderer.stop_rasterizing` into
+`.artist.allow_rasterization`. This means the start and stop functions are only
+called when the rasterization actually needs to be started and stopped.
+
+The output of vector backends will change in the case that rasterized elements
+are merged. This should not change the appearance of outputs.
+
+The renders in 3rd party backends are now expected to have
+``self._raster_depth`` and ``self._rasterizing`` initialized to ``0`` and
+*False* respectively.
+
+Consistent behavior of ``draw_if_interactive()`` across backends
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.pyplot.draw_if_interactive` no longer shows the window (if it was previously
+unshown) on the Tk and nbAgg backends, consistently with all other backends.
+
+The Artist property *rasterized* cannot be *None* anymore
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It is now a boolean only. Before the default was *None* and
+`.Artist.set_rasterized` was documented to accept *None*. However, *None* did
+not have a special meaning and was treated as *False*.
+
+Canvas's callback registry now stored on Figure
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The canonical location of the `~.cbook.CallbackRegistry` used to handle
+Figure/Canvas events has been moved from the Canvas to the Figure. This change
+should be transparent to almost all users, however if you are swapping
+switching the Figure out from on top of a Canvas or visa versa you may see a
+change in behavior.
+
+Harmonized key event data across backends
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The different backends with key translation support, now handle "Shift" as a
+sometimes modifier, where the ``'shift+'`` prefix won't be added if a key
+translation was made.
+
+In the Qt5 backend, the ``matplotlib.backends.backend_qt5.SPECIAL_KEYS``
+dictionary contains keys that do *not* return their unicode name instead they
+have manually specified names. The name for ``QtCore.Qt.Key_Meta`` has changed
+to ``'meta'`` to be consistent with the other GUI backends.
+
+The WebAgg backend now handles key translations correctly on non-US keyboard
+layouts.
+
+In the GTK and Tk backends, the handling of non-ASCII keypresses (as reported
+in the KeyEvent passed to ``key_press_event``-handlers) now correctly reports
+Unicode characters (e.g., €), and better respects NumLock on the numpad.
+
+In the GTK and Tk backends, the following key names have changed; the new names
+are consistent with those reported by the Qt backends:
+
+- The "Break/Pause" key (keysym 0xff13) is now reported as ``"pause"`` instead
+  of ``"break"`` (this is also consistent with the X key name).
+- The numpad "delete" key is now reported as ``"delete"`` instead of ``"dec"``.
+
+WebAgg backend no longer reports a middle click as a right click
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously when using the WebAgg backend the event passed to a callback by
+``fig.canvas.mpl_connect('mouse_button_event', callback)`` on a middle click
+would report `.MouseButton.RIGHT` instead of `.MouseButton.MIDDLE`.
+
+ID attribute of XML tags in SVG files now based on SHA256 rather than MD5
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Matplotlib generates unique ID attributes for various tags in SVG files.
+Matplotlib previously generated these unique IDs using the first 10 characters
+of an MD5 hash. The MD5 hashing algorithm is not available in Python on systems
+with Federal Information Processing Standards (FIPS) enabled. Matplotlib now
+uses the first 10 characters of an SHA256 hash instead. SVG files that would
+otherwise match those saved with earlier versions of matplotlib, will have
+different ID attributes.
+
+``RendererPS.set_font`` is no longer a no-op in AFM mode
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.RendererPS.set_font` now sets the current PostScript font in all cases.
+
+Autoscaling in Axes3D
+~~~~~~~~~~~~~~~~~~~~~
+
+In Matplotlib 3.2.0, autoscaling was made lazier for 2D Axes, i.e., limits
+would only be recomputed when actually rendering the canvas, or when the user
+queries the Axes limits. This performance improvement is now extended to
+`.Axes3D`. This also fixes some issues with autoscaling being triggered
+unexpectedly in Axes3D.
+
+Please see :ref:`the API change for 2D Axes <api-changes-3-2-0-autoscaling>`
+for further details.
+
+Axes3D automatically adding itself to Figure is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+New `.Axes3D` objects previously added themselves to figures when they were
+created, unlike all other Axes classes, which lead to them being added twice if
+``fig.add_subplot(111, projection='3d')`` was called.
+
+This behavior is now deprecated and will warn. The new keyword argument
+*auto_add_to_figure* controls the behavior and can be used to suppress the
+warning. The default value will change to *False* in Matplotlib 3.5, and any
+non-*False* value will be an error in Matplotlib 3.6.
+
+In the future, `.Axes3D` will need to be explicitly added to the figure ::
+
+  fig = Figure()
+  # create Axes3D
+  ax = Axes3d(fig)
+  # add to Figure
+  fig.add_axes(ax)
+
+as needs to be done for other `.axes.Axes` sub-classes. Or, a 3D projection can
+be made via::
+
+    fig.add_subplot(projection='3d')
+
+``mplot3d.art3d.get_dir_vector`` always returns NumPy arrays
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For consistency, `~.mplot3d.art3d.get_dir_vector` now always returns NumPy
+arrays, even if the input is a 3-element iterable.
+
+Changed cursive and fantasy font definitions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The Comic Sans and Comic Neue fonts were moved from the default
+:rc:`font.fantasy` list to the default :rc:`font.cursive` setting, in
+accordance with the CSS font families example_ and in order to provide a
+cursive font present in Microsoft's Core Fonts set.
+
+.. _example: https://www.w3.org/Style/Examples/007/fonts.en.html
+
+docstring.Substitution now always dedents docstrings before string interpolation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/doc/api/prev_api_changes/api_changes_3.4.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.4.0/deprecations.rst
new file mode 100644
index 000000000000..9e09f3febe64
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.0/deprecations.rst
@@ -0,0 +1,348 @@
+Deprecations
+------------
+
+Extra parameters to Axes constructor
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Parameters of the Axes constructor other than *fig* and *rect* will become
+keyword-only in a future version.
+
+``pyplot.gca`` and ``Figure.gca`` keyword arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing keyword arguments to `.pyplot.gca` or `.figure.Figure.gca` will not be
+supported in a future release.
+
+``Axis.cla``, ``RadialAxis.cla``, ``ThetaAxis.cla`` and ``Spine.cla``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These methods are deprecated in favor of the respective ``clear()`` methods.
+
+Invalid hatch pattern characters are no longer ignored
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When specifying hatching patterns, characters that are not recognized will
+raise a deprecation warning. In the future, this will become a hard error.
+
+``imread`` reading from URLs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing a URL to `~.pyplot.imread()` is deprecated. Please open the URL for
+reading and directly use the Pillow API
+(``PIL.Image.open(urllib.request.urlopen(url))``, or
+``PIL.Image.open(io.BytesIO(requests.get(url).content))``) instead.
+
+Subplot-related attributes and methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Some ``SubplotBase`` methods and attributes have been deprecated and/or moved
+to `.SubplotSpec`:
+
+- ``get_geometry`` (use ``SubplotBase.get_subplotspec`` instead),
+- ``change_geometry`` (use ``SubplotBase.set_subplotspec`` instead),
+- ``is_first_row``, ``is_last_row``, ``is_first_col``, ``is_last_col`` (use the
+  corresponding methods on the `.SubplotSpec` instance instead),
+- ``update_params`` (now a no-op),
+- ``figbox`` (use ``ax.get_subplotspec().get_geometry(ax.figure)`` instead to
+  recompute the geometry, or ``ax.get_position()`` to read its current value),
+- ``numRows``, ``numCols`` (use the ``nrows`` and ``ncols`` attribute on the
+  `.GridSpec` instead).
+
+Likewise, the ``get_geometry``, ``change_geometry``, ``update_params``, and
+``figbox`` methods/attributes of `.SubplotDivider` have been deprecated, with
+similar replacements.
+
+``is_url`` and ``URL_REGEX``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated. (They were previously defined in the toplevel
+:mod:`matplotlib` module.)
+
+``matplotlib.style.core`` deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``STYLE_FILE_PATTERN``, ``load_base_library``, and ``iter_user_libraries`` are
+deprecated.
+
+``dpi_cor`` property of `.FancyArrowPatch`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This parameter is considered internal and deprecated.
+
+Passing ``boxstyle="custom", bbox_transmuter=...`` to ``FancyBboxPatch``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In order to use a custom boxstyle, directly pass it as the *boxstyle* argument
+to `.FancyBboxPatch`. This was previously already possible, and is consistent
+with custom arrow styles and connection styles.
+
+BoxStyles are now called without passing the *mutation_aspect* parameter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Mutation aspect is now handled by the artist itself. Hence the
+*mutation_aspect* parameter of ``BoxStyle._Base.__call__`` is deprecated, and
+custom boxstyles should be implemented to not require this parameter (it can be
+left as a parameter defaulting to 1 for back-compatibility).
+
+``ContourLabeler.get_label_coords`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It is considered an internal helper.
+
+Line2D and Patch no longer duplicate ``validJoin`` and ``validCap``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Validation of joinstyle and capstyles is now centralized in ``rcsetup``.
+
+Setting a Line2D's pickradius via ``set_picker`` is undeprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This cancels the deprecation introduced in Matplotlib 3.3.0.
+
+``MarkerStyle`` is considered immutable
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``MarkerStyle.set_fillstyle()`` and ``MarkerStyle.set_marker()`` are
+deprecated. Create a new ``MarkerStyle`` with the respective parameters
+instead.
+
+``MovieWriter.cleanup`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Cleanup logic is now fully implemented in `.MovieWriter.finish`. Third-party
+movie writers should likewise move the relevant cleanup logic there, as
+overridden ``cleanup``\s will no longer be called in the future.
+
+*minimumdescent* parameter/property of ``TextArea``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.offsetbox.TextArea` has behaved as if *minimumdescent* was always True
+(regardless of the value to which it was set) since Matplotlib 1.3, so the
+parameter/property is deprecated.
+
+``colorbar`` now warns when the mappable's Axes is different from the current Axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Currently, `.Figure.colorbar` and `.pyplot.colorbar` steal space by default
+from the current Axes to place the colorbar. In a future version, they will
+steal space from the mappable's Axes instead. In preparation for this change,
+`.Figure.colorbar` and `.pyplot.colorbar` now emits a warning when the current
+Axes is not the same as the mappable's Axes.
+
+Colorbar docstrings
+~~~~~~~~~~~~~~~~~~~
+
+The following globals in :mod:`matplotlib.colorbar` are deprecated:
+``colorbar_doc``, ``colormap_kw_doc``, ``make_axes_kw_doc``.
+
+``ColorbarPatch`` and ``colorbar_factory`` are deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+All the relevant functionality has been moved to the
+`~matplotlib.colorbar.Colorbar` class.
+
+Backend deprecations
+~~~~~~~~~~~~~~~~~~~~
+
+- ``FigureCanvasBase.get_window_title`` and
+  ``FigureCanvasBase.set_window_title`` are deprecated. Use the corresponding
+  methods on the FigureManager if using pyplot, or GUI-specific methods if
+  embedding.
+- The *resize_callback* parameter to ``FigureCanvasTk`` was never used
+  internally and is deprecated. Tk-level custom event handlers for resize
+  events can be added to a ``FigureCanvasTk`` using e.g.
+  ``get_tk_widget().bind('<Configure>', ..., True)``.
+- The ``key_press`` and ``button_press`` methods of `.FigureManagerBase`, which
+  incorrectly did nothing when using ``toolmanager``, are deprecated in favor
+  of directly passing the event to the `.CallbackRegistry` via
+  ``self.canvas.callbacks.process(event.name, event)``.
+- ``RendererAgg.get_content_extents`` and
+  ``RendererAgg.tostring_rgba_minimized`` are deprecated.
+- ``backend_pgf.TmpDirCleaner`` is deprecated, with no replacement.
+- ``GraphicsContextPS`` is deprecated. The PostScript backend now uses
+  `.GraphicsContextBase`.
+
+wx backend cleanups
+~~~~~~~~~~~~~~~~~~~
+
+The *origin* parameter to ``_FigureCanvasWxBase.gui_repaint`` is deprecated
+with no replacement; ``gui_repaint`` now automatically detects the case where
+it is used with the wx renderer.
+
+The ``NavigationToolbar2Wx.get_canvas`` method is deprecated; directly
+instantiate a canvas (``FigureCanvasWxAgg(frame, -1, figure)``) if needed.
+
+Unused positional parameters to ``print_<fmt>`` methods are deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+None of the ``print_<fmt>`` methods implemented by canvas subclasses used
+positional arguments other that the first (the output filename or file-like),
+so these extra parameters are deprecated.
+
+The *dpi* parameter of ``FigureCanvas.print_foo`` printers is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `~.Figure.savefig` machinery already took care of setting the figure DPI
+to the desired value, so ``print_foo`` can directly read it from there. Not
+passing *dpi* to ``print_foo`` allows clearer detection of unused parameters
+passed to `~.Figure.savefig`.
+
+Passing `bytes` to ``FT2Font.set_text``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated, pass `str` instead.
+
+``ps.useafm`` deprecated for mathtext
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Outputting mathtext using only standard PostScript fonts has likely been broken
+for a while (issue `#18722
+<https://github.com/matplotlib/matplotlib/issues/18722>`_). In Matplotlib 3.5,
+the setting :rc:`ps.useafm` will have no effect on mathtext.
+
+``MathTextParser("bitmap")`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The associated APIs ``MathtextBackendBitmap``, ``MathTextParser.to_mask``,
+``MathTextParser.to_rgba``, ``MathTextParser.to_png``, and
+``MathTextParser.get_depth`` are likewise deprecated.
+
+To convert a text string to an image, either directly draw the text to an
+empty `.Figure` and save the figure using a tight bbox, as demonstrated in
+:doc:`/gallery/text_labels_and_annotations/mathtext_asarray`, or use
+`.mathtext.math_to_image`.
+
+When using `.math_to_image`, text color can be set with e.g.::
+
+    with plt.rc_context({"text.color": "tab:blue"}):
+        mathtext.math_to_image(text, filename)
+
+and an RGBA array can be obtained with e.g.::
+
+    from io import BytesIO
+    buf = BytesIO()
+    mathtext.math_to_image(text, buf, format="png")
+    buf.seek(0)
+    rgba = plt.imread(buf)
+
+Deprecation of mathtext internals
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following API elements previously exposed by the :mod:`.mathtext` module
+are considered to be implementation details and public access to them is
+deprecated:
+
+- ``Fonts`` and all its subclasses,
+- ``FontConstantsBase`` and all its subclasses,
+- ``Node`` and all its subclasses,
+- ``Ship``, ``ship``,
+- ``Error``,
+- ``Parser``,
+- ``SHRINK_FACTOR``, ``GROW_FACTOR``,
+- ``NUM_SIZE_LEVELS``,
+- ``latex_to_bakoma``, ``latex_to_cmex``, ``latex_to_standard``,
+- ``stix_virtual_fonts``,
+- ``tex2uni``.
+
+Deprecation of various mathtext helpers
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``MathtextBackendPdf``, ``MathtextBackendPs``, ``MathtextBackendSvg``,
+and ``MathtextBackendCairo`` classes from the :mod:`.mathtext` module, as
+well as the corresponding ``.mathtext_parser`` attributes on ``RendererPdf``,
+``RendererPS``, ``RendererSVG``, and ``RendererCairo``, are deprecated. The
+``MathtextBackendPath`` class can be used to obtain a list of glyphs and
+rectangles in a mathtext expression, and renderer-specific logic should be
+directly implemented in the renderer.
+
+``StandardPsFonts.pswriter`` is unused and deprecated.
+
+Widget class internals
+~~~~~~~~~~~~~~~~~~~~~~
+
+Several `.widgets.Widget` class internals have been privatized and deprecated:
+
+- ``AxesWidget.cids``
+- ``Button.cnt`` and ``Button.observers``
+- ``CheckButtons.cnt`` and ``CheckButtons.observers``
+- ``RadioButtons.cnt`` and ``RadioButtons.observers``
+- ``Slider.cnt`` and ``Slider.observers``
+- ``TextBox.cnt``, ``TextBox.change_observers`` and
+  ``TextBox.submit_observers``
+
+3D properties on renderers
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The properties of the 3D Axes that were placed on the Renderer during draw are
+now deprecated:
+
+- ``renderer.M``
+- ``renderer.eye``
+- ``renderer.vvec``
+- ``renderer.get_axis_position``
+
+These attributes are all available via `.Axes3D`, which can be accessed via
+``self.axes`` on all `.Artist`\s.
+
+*renderer* argument of ``do_3d_projection`` method for ``Collection3D``/``Patch3D``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *renderer* argument for the ``do_3d_projection`` method on ``Collection3D``
+and ``Patch3D`` is no longer necessary, and passing it during draw is
+deprecated.
+
+*project* argument of ``draw`` method for ``Line3DCollection``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *project* argument for the ``draw`` method on ``Line3DCollection`` is
+deprecated. Call `.Line3DCollection.do_3d_projection` explicitly instead.
+
+Extra positional parameters to ``plot_surface`` and ``plot_wireframe``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Positional parameters to `~.axes3d.Axes3D.plot_surface` and
+`~.axes3d.Axes3D.plot_wireframe` other than ``X``, ``Y``, and ``Z`` are
+deprecated. Pass additional artist properties as keyword arguments instead.
+
+``ParasiteAxesAuxTransBase`` class
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The functionality of that mixin class has been moved to the base
+``ParasiteAxesBase`` class. Thus, ``ParasiteAxesAuxTransBase``,
+``ParasiteAxesAuxTrans``, and ``parasite_axes_auxtrans_class_factory`` are
+deprecated.
+
+In general, it is suggested to use ``HostAxes.get_aux_axes`` to create
+parasite Axes, as this saves the need of manually appending the parasite
+to ``host.parasites`` and makes sure that their ``remove()`` method works
+properly.
+
+``AxisArtist.ZORDER`` attribute
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Use ``AxisArtist.zorder`` instead.
+
+``GridHelperBase`` invalidation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``GridHelperBase.invalidate``, ``GridHelperBase.valid``, and
+``axislines.Axes.invalidate_grid_helper`` methods are considered internal
+and deprecated.
+
+``sphinext.plot_directive.align``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated. Use ``docutils.parsers.rst.directives.images.Image.align``
+instead.
+
+Deprecation-related functionality is considered internal
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The module ``matplotlib.cbook.deprecation`` is considered internal and will be
+removed from the public API. This also holds for deprecation-related re-imports
+in ``matplotlib.cbook``, i.e. ``matplotlib.cbook.deprecated()``,
+``matplotlib.cbook.warn_deprecated()``,
+``matplotlib.cbook.MatplotlibDeprecationWarning`` and
+``matplotlib.cbook.mplDeprecation``.
+
+If needed, external users may import ``MatplotlibDeprecationWarning`` directly
+from the ``matplotlib`` namespace. ``mplDeprecation`` is only an alias of
+``MatplotlibDeprecationWarning`` and should not be used anymore.
diff --git a/doc/api/prev_api_changes/api_changes_3.4.0/development.rst b/doc/api/prev_api_changes/api_changes_3.4.0/development.rst
new file mode 100644
index 000000000000..982046c3869e
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.0/development.rst
@@ -0,0 +1,49 @@
+Development changes
+-------------------
+
+Increase to minimum supported versions of Python and dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.4, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.3  | min in mpl3.4 |
++============+=================+===============+
+|   Python   |       3.6       |      3.7      |
++------------+-----------------+---------------+
+|  dateutil  |       2.1       |      2.7      |
++------------+-----------------+---------------+
+|   numpy    |      1.15       |     1.16      |
++------------+-----------------+---------------+
+| pyparsing  |      2.0.3      |     2.2.1     |
++------------+-----------------+---------------+
+
+This is consistent with our :ref:`min_deps_policy` and `NEP29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__
+
+Qhull downloaded at build-or-sdist time
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Much like FreeType, Qhull is now downloaded at build time, or upon creation of
+the sdist. To link against system Qhull, set the ``system_qhull`` option to
+`True` in the :file:`setup.cfg` file. Note that Matplotlib now requires the
+re-entrant version of Qhull (``qhull_r``).
+
+``FigureBase`` class added, and ``Figure`` class made a child
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The new subfigure feature motivated some re-organization of the
+`.figure.Figure` class, so that the new `.figure.SubFigure` class could have
+all the capabilities of a figure.
+
+The `.figure.Figure` class is now a subclass of `.figure.FigureBase`, where
+`.figure.FigureBase` contains figure-level artist addition routines, and the
+`.figure.Figure` subclass just contains features that are unique to the outer
+figure.
+
+Note that there is a new *transSubfigure* transform associated with the
+subfigure.  This transform also exists for a `.Figure` instance, and is equal
+to *transFigure* in that case, so code that uses the transform stack that wants
+to place objects on either the parent figure or one of the subfigures should
+use *transSubfigure*.
diff --git a/doc/api/prev_api_changes/api_changes_3.4.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.4.0/removals.rst
new file mode 100644
index 000000000000..1f558800bd8f
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.0/removals.rst
@@ -0,0 +1,177 @@
+Removals
+--------
+The following deprecated APIs have been removed:
+
+Removed behaviour
+~~~~~~~~~~~~~~~~~
+
+- The "smart bounds" functionality on `~.axis.Axis` and `.Spine` has been
+  deleted, and the related methods have been removed.
+- Converting a string with single color characters (e.g. ``'cymk'``) in
+  `~.colors.to_rgba_array` is no longer supported. Instead, the colors can be
+  passed individually in a list (e.g. ``['c', 'y', 'm', 'k']``).
+- Returning a factor equal to ``None`` from ``mpl_toolkits.axisartist``
+  Locators (which are **not** the same as "standard" tick Locators), or passing
+  a factor equal to ``None`` to axisartist Formatters (which are **not** the
+  same as "standard" tick Formatters) is no longer supported. Pass a factor
+  equal to 1 instead.
+
+Modules
+~~~~~~~
+
+- The entire ``matplotlib.testing.disable_internet`` module has been removed.
+  The `pytest-remotedata package
+  <https://github.com/astropy/pytest-remotedata>`_ can be used instead.
+- The ``mpl_toolkits.axes_grid1.colorbar`` module and its colorbar
+  implementation have been removed in favor of `matplotlib.colorbar`.
+
+Classes, methods and attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- The `.animation.MovieWriterRegistry` methods ``.set_dirty()``,
+  ``.ensure_not_dirty()``, and ``.reset_available_writers()`` do nothing and
+  have been removed.  The ``.avail()`` method has been removed; use ``.list()``
+  instead to get a list of available writers.
+- The ``matplotlib.artist.Artist.eventson`` and
+  ``matplotlib.container.Container.eventson`` attributes have no effect and
+  have been removed.
+- ``matplotlib.axes.Axes.get_data_ratio_log`` has been removed.
+- ``matplotlib.axes.SubplotBase.rowNum``; use
+  ``ax.get_subplotspec().rowspan.start`` instead.
+- ``matplotlib.axes.SubplotBase.colNum``; use
+  ``ax.get_subplotspec().colspan.start`` instead.
+- ``matplotlib.axis.Axis.set_smart_bounds`` and
+  ``matplotlib.axis.Axis.get_smart_bounds`` have been removed.
+- ``matplotlib.colors.DivergingNorm`` has been renamed to
+  `~matplotlib.colors.TwoSlopeNorm`.
+- ``matplotlib.figure.AxesStack`` has been removed.
+- ``matplotlib.font_manager.JSONEncoder`` has been removed; use
+  `.font_manager.json_dump` to dump a `.FontManager` instance.
+- The ``matplotlib.ft2font.FT2Image`` methods ``.as_array()``,
+  ``.as_rgba_str()``, ``.as_str()``, ``.get_height()`` and ``.get_width()``
+  have been removed. Convert the ``FT2Image`` to a NumPy array with
+  ``np.asarray`` before processing it.
+- ``matplotlib.quiver.QuiverKey.quiverkey_doc`` has been removed; use
+  ``matplotlib.quiver.QuiverKey.__init__.__doc__`` instead.
+- ``matplotlib.spines.Spine.set_smart_bounds`` and
+  ``matplotlib.spines.Spine.get_smart_bounds`` have been removed.
+- ``matplotlib.testing.jpl_units.UnitDbl.checkUnits`` has been removed; use
+  ``units not in self.allowed`` instead.
+- The unused ``matplotlib.ticker.Locator.autoscale`` method has been removed
+  (pass the axis limits to `.Locator.view_limits` instead). The derived methods
+  ``Locator.autoscale``, ``AutoDateLocator.autoscale``,
+  ``RRuleLocator.autoscale``, ``RadialLocator.autoscale``,
+  ``ThetaLocator.autoscale``, and ``YearLocator.autoscale`` have also been
+  removed.
+- ``matplotlib.transforms.BboxBase.is_unit`` has been removed; check the
+  `.Bbox` extents if needed.
+- ``matplotlib.transforms.Affine2DBase.matrix_from_values(...)`` has been
+  removed; use (for example) ``Affine2D.from_values(...).get_matrix()``
+  instead.
+
+* ``matplotlib.backend_bases.FigureCanvasBase.draw_cursor`` has been removed.
+* ``matplotlib.backends.backend_gtk.ConfigureSubplotsGTK3.destroy`` and
+  ``matplotlib.backends.backend_gtk.ConfigureSubplotsGTK3.init_window`` methods
+  have been removed.
+* ``matplotlib.backends.backend_gtk.ConfigureSubplotsGTK3.window`` property has
+  been removed.
+* ``matplotlib.backends.backend_macosx.FigureCanvasMac.invalidate`` has been
+  removed.
+* ``matplotlib.backends.backend_pgf.RendererPgf.latexManager`` has been removed.
+* ``matplotlib.backends.backend_wx.FigureFrameWx.statusbar``,
+  ``matplotlib.backends.backend_wx.NavigationToolbar2Wx.set_status_bar``, and
+  ``matplotlib.backends.backend_wx.NavigationToolbar2Wx.statbar`` have been
+  removed. The status bar can be retrieved by calling standard wx methods
+  (``frame.GetStatusBar()`` and
+  ``toolbar.GetTopLevelParent().GetStatusBar()``).
+* ``matplotlib.backends.backend_wx.ConfigureSubplotsWx.configure_subplots`` and
+  ``matplotlib.backends.backend_wx.ConfigureSubplotsWx.get_canvas`` have been
+  removed.
+
+
+- ``mpl_toolkits.axisartist.grid_finder.GridFinderBase`` has been removed; use
+  `.GridFinder` instead.
+- ``mpl_toolkits.axisartist.axis_artist.BezierPath`` has been removed; use
+  `.patches.PathPatch` instead.
+
+Functions
+~~~~~~~~~
+
+- ``matplotlib.backends.backend_pgf.repl_escapetext`` and
+  ``matplotlib.backends.backend_pgf.repl_mathdefault`` have been removed.
+- ``matplotlib.checkdep_ps_distiller`` has been removed.
+- ``matplotlib.cm.revcmap`` has been removed; use `.Colormap.reversed`
+  instead.
+- ``matplotlib.colors.makeMappingArray`` has been removed.
+- ``matplotlib.compare_versions`` has been removed; use comparison of
+  ``distutils.version.LooseVersion``\s instead.
+- ``matplotlib.dates.mx2num`` has been removed.
+- ``matplotlib.font_manager.createFontList`` has been removed;
+  `.font_manager.FontManager.addfont` is now available to register a font at a
+  given path.
+- ``matplotlib.get_home`` has been removed; use standard library instead.
+- ``matplotlib.mlab.apply_window`` and ``matplotlib.mlab.stride_repeat`` have
+  been removed.
+- ``matplotlib.rcsetup.update_savefig_format`` has been removed; this just
+  replaced ``'auto'`` with ``'png'``, so do the same.
+- ``matplotlib.rcsetup.validate_animation_writer_path`` has been removed.
+- ``matplotlib.rcsetup.validate_path_exists`` has been removed; use
+  `os.path.exists` or `pathlib.Path.exists` instead.
+- ``matplotlib.style.core.is_style_file`` and
+  ``matplotlib.style.core.iter_style_files`` have been removed.
+- ``matplotlib.testing.is_called_from_pytest`` has been removed.
+- ``mpl_toolkits.mplot3d.axes3d.unit_bbox`` has been removed; use `.Bbox.unit`
+  instead.
+
+
+Arguments
+~~~~~~~~~
+
+- Passing more than one positional argument to `.axes.Axes.axis` will now
+  raise an error.
+- Passing ``"range"`` to the *whis* parameter of `.Axes.boxplot` and
+  `.cbook.boxplot_stats` to mean "the whole data range" is  no longer
+  supported.
+- Passing scalars to the *where* parameter in `.axes.Axes.fill_between` and
+  `.axes.Axes.fill_betweenx` is no longer accepted and non-matching sizes now
+  raise a `ValueError`.
+- The *verts* parameter to `.Axes.scatter` has been removed; use *marker* instead.
+- The *minor* parameter in `.Axis.set_ticks` and ``SecondaryAxis.set_ticks`` is
+  now keyword-only.
+- `.scale.ScaleBase`, `.scale.LinearScale` and `.scale.SymmetricalLogScale` now
+  error if any unexpected keyword arguments are passed to their constructors.
+- The *renderer* parameter to `.Figure.tight_layout` has been removed; this
+  method now always uses the renderer instance cached on the `.Figure`.
+- The *locator* parameter to
+  `mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase.colorbar` has been removed in
+  favor of its synonym *ticks* (which already existed previously,
+  and is consistent with :mod:`matplotlib.colorbar`).
+- The *switch_backend_warn* parameter to ``matplotlib.test`` has no effect and
+  has been removed.
+- The *dryrun* parameter to the various ``FigureCanvas*.print_*`` methods has
+  been removed.
+
+rcParams
+~~~~~~~~
+
+- The ``datapath`` rcParam has been removed. Use `matplotlib.get_data_path`
+  instead.
+- The ``mpl_toolkits.legacy_colorbar`` rcParam has no effect and has been
+  removed.
+- Setting :rc:`boxplot.whiskers` to ``"range"`` is no longer valid; set it to
+  ``0, 100`` instead.
+- Setting :rc:`savefig.format` to ``"auto"`` is no longer valid; use ``"png"``
+  instead.
+- Setting :rc:`text.hinting` to `False` or `True` is no longer valid; set it to
+  ``"auto"`` or ``"none"`` respectively.
+
+sample_data removals
+~~~~~~~~~~~~~~~~~~~~
+The sample datasets listed below have been removed.  Suggested replacements for
+demonstration purposes are listed in parentheses.
+
+- ``None_vs_nearest-pdf.png``,
+- ``aapl.npz`` (use ``goog.npz``),
+- ``ada.png``, ``grace_hopper.png`` (use ``grace_hopper.jpg``),
+- ``ct.raw.gz`` (use ``s1045.ima.gz``),
+- ``damodata.csv`` (use ``msft.csv``).
diff --git a/doc/api/prev_api_changes/api_changes_3.4.2.rst b/doc/api/prev_api_changes/api_changes_3.4.2.rst
new file mode 100644
index 000000000000..34d760bf0941
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.4.2.rst
@@ -0,0 +1,16 @@
+API Changes for 3.4.2
+=====================
+
+Behaviour changes
+-----------------
+
+Rename first argument to ``subplot_mosaic``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Both `.Figure.subplot_mosaic`, and `.pyplot.subplot_mosaic` have had the
+first position argument renamed from *layout* to *mosaic*.  This is because we
+are considering to consolidate *constrained_layout* and *tight_layout* keyword
+arguments in the Figure creation functions of `.pyplot` into a single *layout*
+keyword argument which would collide.
+
+As this API is provisional, we are changing this with no deprecation period.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.0.rst b/doc/api/prev_api_changes/api_changes_3.5.0.rst
new file mode 100644
index 000000000000..890484bcd19a
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.5.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.5.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.5.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.5.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.5.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.5.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.5.0/behaviour.rst
new file mode 100644
index 000000000000..25f761ae39fa
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.0/behaviour.rst
@@ -0,0 +1,247 @@
+Behaviour changes
+-----------------
+
+First argument to ``subplot_mosaic`` renamed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Both `.Figure.subplot_mosaic`, and `.pyplot.subplot_mosaic` have had the
+first positional argument renamed from *layout* to *mosaic*. As we have
+consolidated the *constrained_layout* and *tight_layout* keyword arguments in
+the Figure creation functions of `.pyplot` into a single *layout* keyword
+argument, the original ``subplot_mosaic`` argument name would collide.
+
+As this API is provisional, we are changing this argument name with no
+deprecation period.
+
+.. _Behavioural API Changes 3.5 - Axes children combined:
+
+``Axes`` children are no longer separated by type
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Formerly, `.axes.Axes` children were separated by `.Artist` type, into sublists
+such as ``Axes.lines``. For methods that produced multiple elements (such as
+`.Axes.errorbar`), though individual parts would have similar *zorder*, this
+separation might cause them to be drawn at different times, causing
+inconsistent results when overlapping other Artists.
+
+Now, the children are no longer separated by type, and the sublist properties
+are generated dynamically when accessed. Consequently, Artists will now always
+appear in the correct sublist; e.g., if `.axes.Axes.add_line` is called on a
+`.Patch`, it will appear in the ``Axes.patches`` sublist, *not* ``Axes.lines``.
+The ``Axes.add_*`` methods will now warn if passed an unexpected type.
+
+Modification of the following sublists is still accepted, but deprecated:
+
+* ``Axes.artists``
+* ``Axes.collections``
+* ``Axes.images``
+* ``Axes.lines``
+* ``Axes.patches``
+* ``Axes.tables``
+* ``Axes.texts``
+
+To remove an Artist, use its `.Artist.remove` method. To add an Artist, use the
+corresponding ``Axes.add_*`` method.
+
+``MatplotlibDeprecationWarning`` now subclasses ``DeprecationWarning``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Historically, it has not been possible to filter
+`~matplotlib.MatplotlibDeprecationWarning`\s by checking for
+`DeprecationWarning`, since we subclass `UserWarning` directly.
+
+The decision to not subclass `DeprecationWarning` has to do with a decision
+from core Python in the 2.x days to not show `DeprecationWarning`\s to users.
+However, there is now a more sophisticated filter in place (see
+https://www.python.org/dev/peps/pep-0565/).
+
+Users will now see `~matplotlib.MatplotlibDeprecationWarning` only during
+interactive sessions, and these can be silenced by the standard mechanism:
+
+.. code:: python
+
+	warnings.filterwarnings("ignore", category=DeprecationWarning)
+
+Library authors must now enable `DeprecationWarning`\s explicitly in order for
+(non-interactive) CI/CD pipelines to report back these warnings, as is standard
+for the rest of the Python ecosystem:
+
+.. code:: python
+
+	warnings.filterwarnings("always", DeprecationWarning)
+
+``Artist.set`` applies artist properties in the order in which they are given
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The change only affects the interaction between the *color*, *edgecolor*,
+*facecolor*, and (for `.Collection`\s) *alpha* properties: the *color* property
+now needs to be passed first in order not to override the other properties.
+This is consistent with e.g. `.Artist.update`, which did not reorder the
+properties passed to it.
+
+``pcolor(mesh)`` shading defaults to auto
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *shading* keyword argument for `.Axes.pcolormesh` and `.Axes.pcolor`
+default has been changed to 'auto'.
+
+Passing ``Z(M, N)``, ``x(N)``, ``y(M)`` to ``pcolormesh`` with
+``shading='flat'`` will now raise a `TypeError`. Use ``shading='auto'`` or
+``shading='nearest'`` for ``x`` and ``y`` to be treated as cell centers, or
+drop the last column and row of ``Z`` to get the old behaviour with
+``shading='flat'``.
+
+Colorbars now have pan and zoom functionality
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Interactive plots with colorbars can now be zoomed and panned on the colorbar
+axis. This adjusts the *vmin* and *vmax* of the `.ScalarMappable` associated
+with the colorbar. This is currently only enabled for continuous norms. Norms
+used with ``contourf`` and categoricals, such as `.BoundaryNorm` and `.NoNorm`,
+have the interactive capability disabled by default. `cb.ax.set_navigate()
+<.Axes.set_navigate>` can be used to set whether a colorbar axes is interactive
+or not.
+
+Colorbar lines no longer clipped
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If a colorbar has lines added to it (e.g. for contour lines), these will no
+longer be clipped. This is an improvement for lines on the edge of the
+colorbar, but could lead to lines off the colorbar if the limits of the
+colorbar are changed.
+
+``Figure.suppressComposite`` now also controls compositing of Axes images
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The output of ``NonUniformImage`` and ``PcolorImage`` has changed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Pixel-level differences may be observed in images generated using
+`.NonUniformImage` or `.PcolorImage`, typically for pixels exactly at the
+boundary between two data cells (no user-facing axes method currently generates
+`.NonUniformImage`\s, and only `.pcolorfast` can generate `.PcolorImage`\s).
+These artists are also now slower, normally by ~1.5x but sometimes more (in
+particular for ``NonUniformImage(interpolation="bilinear")``. This slowdown
+arises from fixing occasional floating point inaccuracies.
+
+Change of the (default) legend handler for ``Line2D`` instances
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The default legend handler for Line2D instances (`.HandlerLine2D`) now
+consistently exposes all the attributes and methods related to the line marker
+(:ghissue:`11358`). This makes it easy to change the marker features after
+instantiating a legend.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+
+    ax.plot([1, 3, 2], marker="s", label="Line", color="pink", mec="red", ms=8)
+    leg = ax.legend()
+
+    leg.legendHandles[0].set_color("lightgray")
+    leg.legendHandles[0].set_mec("black")  # marker edge color
+
+The former legend handler for Line2D objects has been renamed
+`.HandlerLine2DCompound`. To revert to the previous behaviour, one can use
+
+.. code-block:: python
+
+    import matplotlib.legend as mlegend
+    from matplotlib.legend_handler import HandlerLine2DCompound
+    from matplotlib.lines import Line2D
+
+    mlegend.Legend.update_default_handler_map({Line2D: HandlerLine2DCompound()})
+
+Setting ``Line2D`` marker edge/face color to *None* use rcParams
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Line2D.set_markeredgecolor(None)`` and ``Line2D.set_markerfacecolor(None)``
+now set the line property using the corresponding rcParam
+(:rc:`lines.markeredgecolor` and :rc:`lines.markerfacecolor`). This is
+consistent with other `.Line2D` property setters.
+
+Default theta tick locations for wedge polar plots have changed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For polar plots that don't cover a full circle, the default theta tick
+locations are now at multiples of 10°, 15°, 30°, 45°, 90°, rather than using
+values that mostly make sense for linear plots (20°, 25°, etc.).
+
+``axvspan`` now plots full wedges in polar plots
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... rather than triangles.
+
+Convenience converter from ``Scale`` to ``Normalize`` now public
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Downstream libraries can take advantage of `.colors.make_norm_from_scale` to
+create a `~.colors.Normalize` subclass directly from an existing scale.
+Usually norms have a scale, and the advantage of having a  `~.scale.ScaleBase`
+attached to a norm is to provide a scale, and associated tick locators and
+formatters, for the colorbar.
+
+``ContourSet`` always use ``PathCollection``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In order to correct rendering issues with closed loops, the `.ContourSet` now
+creates a `.PathCollection` instead of a `.LineCollection` for line contours.
+This type matches the artist used for filled contours.
+
+This affects `.ContourSet` itself and its subclasses, `.QuadContourSet`
+(returned by `.Axes.contour`), and `.TriContourSet` (returned by
+`.Axes.tricontour`).
+
+``hatch.SmallFilledCircles`` inherits from ``hatch.Circles``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.hatch.SmallFilledCircles` class now inherits from `.hatch.Circles` rather
+than from `.hatch.SmallCircles`.
+
+hexbin with a log norm
+~~~~~~~~~~~~~~~~~~~~~~
+
+`~.axes.Axes.hexbin` no longer (incorrectly) adds 1 to every bin value if a log
+norm is being used.
+
+Setting invalid ``rcParams["date.converter"]`` now raises ValueError
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, invalid values passed to :rc:`date.converter` would be ignored with
+a `UserWarning`, but now raise `ValueError`.
+
+``Text`` and ``TextBox`` added *parse_math* option
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.Text` and `.TextBox` objects now allow a *parse_math* keyword-only argument
+which controls whether math should be parsed from the displayed string. If
+*True*, the string will be parsed as a math text object. If *False*, the string
+will be considered a literal and no parsing will occur.
+
+For `.Text`, this argument defaults to *True*. For `.TextBox` this argument
+defaults to *False*.
+
+``Type1Font`` objects now decrypt the encrypted part
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Type 1 fonts have a large part of their code encrypted as an obsolete
+copy-protection measure. This part is now available decrypted as the
+``decrypted`` attribute of ``matplotlib.type1font.Type1Font``. This decrypted
+data is not yet parsed, but this is a prerequisite for implementing subsetting.
+
+3D contourf polygons placed between levels
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The polygons used in a 3D `~.Axes3D.contourf` plot are now
+placed halfway between the contour levels, as each polygon represents the
+location of values that lie between two levels.
+
+``AxesDivider`` now defaults to rcParams-specified pads
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.AxesDivider.append_axes`, ``AxesDivider.new_horizontal``, and
+``AxesDivider.new_vertical`` now default to paddings specified by
+:rc:`figure.subplot.wspace` and :rc:`figure.subplot.hspace` rather than zero.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.5.0/deprecations.rst
new file mode 100644
index 000000000000..05f42035f1ac
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.0/deprecations.rst
@@ -0,0 +1,379 @@
+Deprecations
+------------
+
+Discouraged: ``Figure`` parameters *tight_layout* and *constrained_layout*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``Figure`` parameters *tight_layout* and *constrained_layout* are
+triggering competing layout mechanisms and thus should not be used together.
+
+To make the API clearer, we've merged them under the new parameter *layout*
+with values 'constrained' (equal to ``constrained_layout=True``), 'tight'
+(equal to ``tight_layout=True``). If given, *layout* takes precedence.
+
+The use of *tight_layout* and *constrained_layout* is discouraged in favor of
+*layout*. However, these parameters will stay available for backward
+compatibility.
+
+Modification of ``Axes`` children sublists
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+See :ref:`Behavioural API Changes 3.5 - Axes children combined` for more
+information; modification of the following sublists is deprecated:
+
+* ``Axes.artists``
+* ``Axes.collections``
+* ``Axes.images``
+* ``Axes.lines``
+* ``Axes.patches``
+* ``Axes.tables``
+* ``Axes.texts``
+
+To remove an Artist, use its `.Artist.remove` method. To add an Artist, use the
+corresponding ``Axes.add_*`` method.
+
+Passing incorrect types to ``Axes.add_*`` methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following ``Axes.add_*`` methods will now warn if passed an unexpected
+type. See their documentation for the types they expect.
+
+- `.Axes.add_collection`
+- `.Axes.add_image`
+- `.Axes.add_line`
+- `.Axes.add_patch`
+- `.Axes.add_table`
+
+Discouraged: ``plot_date``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The use of ``plot_date`` is discouraged. This method exists for historic
+reasons and may be deprecated in the future.
+
+- ``datetime``-like data should directly be plotted using `~.Axes.plot`.
+- If you need to plot plain numeric data as :ref:`date-format` or
+  need to set a timezone, call ``ax.xaxis.axis_date`` / ``ax.yaxis.axis_date``
+  before `~.Axes.plot`. See `.Axis.axis_date`.
+
+``epoch2num`` and ``num2epoch`` are deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These methods convert from unix timestamps to matplotlib floats, but are not
+used internally to matplotlib, and should not be needed by end users. To
+convert a unix timestamp to datetime, simply use
+`datetime.datetime.utcfromtimestamp`, or to use NumPy `~numpy.datetime64`
+``dt = np.datetime64(e*1e6, 'us')``.
+
+Auto-removal of grids by `~.Axes.pcolor` and `~.Axes.pcolormesh`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.Axes.pcolor` and `~.Axes.pcolormesh` currently remove any visible axes major
+grid. This behavior is deprecated; please explicitly call ``ax.grid(False)`` to
+remove the grid.
+
+The first parameter of ``Axes.grid`` and ``Axis.grid`` has been renamed to *visible*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter was previously named *b*. This deprecation only matters if that
+parameter was passed using a keyword argument, e.g. ``grid(b=False)``.
+
+Unification and cleanup of Selector widget API
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The API for Selector widgets has been unified to use:
+
+- *props* for the properties of the Artist representing the selection.
+- *handle_props* for the Artists representing handles for modifying the
+  selection.
+- *grab_range* for the maximal tolerance to grab a handle with the mouse.
+
+Additionally, several internal parameters and attribute have been deprecated
+with the intention of keeping them private.
+
+RectangleSelector and EllipseSelector
+.....................................
+
+The *drawtype* keyword argument to `~matplotlib.widgets.RectangleSelector` is
+deprecated. In the future the only behaviour will be the default behaviour of
+``drawtype='box'``.
+
+Support for ``drawtype=line`` will be removed altogether as it is not clear
+which points are within and outside a selector that is just a line. As a
+result, the *lineprops* keyword argument to
+`~matplotlib.widgets.RectangleSelector` is also deprecated.
+
+To retain the behaviour of ``drawtype='none'``, use ``rectprops={'visible':
+False}`` to make the drawn `~matplotlib.patches.Rectangle` invisible.
+
+Cleaned up attributes and arguments are:
+
+- The ``active_handle`` attribute has been privatized and deprecated.
+- The ``drawtype`` attribute has been privatized and deprecated.
+- The ``eventpress`` attribute has been privatized and deprecated.
+- The ``eventrelease`` attribute has been privatized and deprecated.
+- The ``interactive`` attribute has been privatized and deprecated.
+- The *marker_props* argument is deprecated, use *handle_props* instead.
+- The *maxdist* argument is deprecated, use *grab_range* instead.
+- The *rectprops* argument is deprecated, use *props* instead.
+- The ``rectprops`` attribute has been privatized and deprecated.
+- The ``state`` attribute has been privatized and deprecated.
+- The ``to_draw`` attribute has been privatized and deprecated.
+
+PolygonSelector
+...............
+
+- The *line* attribute is deprecated. If you want to change the selector artist
+  properties, use the ``set_props`` or ``set_handle_props`` methods.
+- The *lineprops* argument is deprecated, use *props* instead.
+- The *markerprops* argument is deprecated, use *handle_props* instead.
+- The *maxdist* argument and attribute is deprecated, use *grab_range* instead.
+- The *vertex_select_radius* argument and attribute is deprecated, use
+  *grab_range* instead.
+
+SpanSelector
+............
+
+- The ``active_handle`` attribute has been privatized and deprecated.
+- The ``eventpress`` attribute has been privatized and deprecated.
+- The ``eventrelease`` attribute has been privatized and deprecated.
+- The *maxdist* argument and attribute is deprecated, use *grab_range* instead.
+- The ``pressv`` attribute has been privatized and deprecated.
+- The ``prev`` attribute has been privatized and deprecated.
+- The ``rect`` attribute has been privatized and deprecated.
+- The *rectprops* argument is deprecated, use *props* instead.
+- The ``rectprops`` attribute has been privatized and deprecated.
+- The *span_stays* argument is deprecated, use the *interactive* argument
+  instead.
+- The ``span_stays`` attribute has been privatized and deprecated.
+- The ``state`` attribute has been privatized and deprecated.
+
+LassoSelector
+.............
+
+- The *lineprops* argument is deprecated, use *props* instead.
+- The ``onpress`` and ``onrelease`` methods are deprecated. They are straight
+  aliases for ``press`` and ``release``.
+
+``ConversionInterface.convert`` no longer needs to accept unitless values
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, custom subclasses of `.units.ConversionInterface` needed to
+implement a ``convert`` method that not only accepted instances of the unit,
+but also unitless values (which are passed through as is). This is no longer
+the case (``convert`` is never called with a unitless value), and such support
+in `.StrCategoryConverter` is deprecated. Likewise, the
+``.ConversionInterface.is_numlike`` helper is deprecated.
+
+Consider calling `.Axis.convert_units` instead, which still supports unitless
+values.
+
+Locator and Formatter wrapper methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``set_view_interval``, ``set_data_interval`` and ``set_bounds`` methods of
+`.Locator`\s and `.Formatter`\s (and their common base class, TickHelper) are
+deprecated. Directly manipulate the view and data intervals on the underlying
+axis instead.
+
+Unused positional parameters to ``print_<fmt>`` methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+None of the ``print_<fmt>`` methods implemented by canvas subclasses used
+positional arguments other that the first (the output filename or file-like),
+so these extra parameters are deprecated.
+
+``QuadMesh`` signature
+~~~~~~~~~~~~~~~~~~~~~~
+
+The `.QuadMesh` signature ::
+
+    def __init__(meshWidth, meshHeight, coordinates,
+                 antialiased=True, shading='flat', **kwargs)
+
+is deprecated and replaced by the new signature ::
+
+    def __init__(coordinates, *, antialiased=True, shading='flat', **kwargs)
+
+In particular:
+
+- The *coordinates* argument must now be a (M, N, 2) array-like. Previously,
+  the grid shape was separately specified as (*meshHeight* + 1, *meshWidth* +
+  1) and *coordinates* could be an array-like of any shape with M * N * 2
+  elements.
+- All parameters except *coordinates* are keyword-only now.
+
+rcParams will no longer cast inputs to str
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+After a deprecation period, rcParams that expect a (non-pathlike) str will no
+longer cast non-str inputs using `str`. This will avoid confusing errors in
+subsequent code if e.g. a list input gets implicitly cast to a str.
+
+Case-insensitive scales
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, scales could be set case-insensitively (e.g.,
+``set_xscale("LoG")``). This is deprecated; all builtin scales use lowercase
+names.
+
+Interactive cursor details
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Setting a mouse cursor on a window has been moved from the toolbar to the
+canvas. Consequently, several implementation details on toolbars and within
+backends have been deprecated.
+
+``NavigationToolbar2.set_cursor`` and ``backend_tools.SetCursorBase.set_cursor``
+................................................................................
+
+Instead, use the `.FigureCanvasBase.set_cursor` method on the canvas (available
+as the ``canvas`` attribute on the toolbar or the Figure.)
+
+``backend_tools.SetCursorBase`` and subclasses
+..............................................
+
+``backend_tools.SetCursorBase`` was subclassed to provide backend-specific
+implementations of ``set_cursor``. As that is now deprecated, the subclassing
+is no longer necessary. Consequently, the following subclasses are also
+deprecated:
+
+- ``matplotlib.backends.backend_gtk3.SetCursorGTK3``
+- ``matplotlib.backends.backend_qt5.SetCursorQt``
+- ``matplotlib.backends._backend_tk.SetCursorTk``
+- ``matplotlib.backends.backend_wx.SetCursorWx``
+
+Instead, use the `.backend_tools.ToolSetCursor` class.
+
+``cursord`` in GTK, Qt, and wx backends
+.......................................
+
+The ``backend_gtk3.cursord``, ``backend_qt.cursord``, and
+``backend_wx.cursord`` dictionaries are deprecated. This makes the GTK module
+importable on headless environments.
+
+Miscellaneous deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``is_url`` and ``URL_REGEX`` are deprecated. (They were previously defined in
+  the toplevel :mod:`matplotlib` module.)
+- The ``ArrowStyle.beginarrow`` and ``ArrowStyle.endarrow`` attributes are
+  deprecated; use the ``arrow`` attribute to define the desired heads and tails
+  of the arrow.
+- ``backend_pgf.LatexManager.str_cache`` is deprecated.
+- ``backends.qt_compat.ETS`` and ``backends.qt_compat.QT_RC_MAJOR_VERSION`` are
+  deprecated, with no replacement.
+- The ``blocking_input`` module has been deprecated. Instead, use
+  ``canvas.start_event_loop()`` and ``canvas.stop_event_loop()`` while
+  connecting event callbacks as needed.
+- ``cbook.report_memory`` is deprecated; use ``psutil.virtual_memory`` instead.
+- ``cm.LUTSIZE`` is deprecated. Use :rc:`image.lut` instead. This value only
+  affects colormap quantization levels for default colormaps generated at
+  module import time.
+- ``Collection.__init__`` previously ignored *transOffset* without *offsets* also
+  being specified. In the future, *transOffset* will begin having an effect
+  regardless of *offsets*. In the meantime, if you wish to set *transOffset*,
+  call `.Collection.set_offset_transform` explicitly.
+- ``Colorbar.patch`` is deprecated; this attribute is not correctly updated
+  anymore.
+- ``ContourLabeler.get_label_width`` is deprecated.
+- ``dviread.PsfontsMap`` now raises LookupError instead of KeyError for missing
+  fonts.
+- ``Dvi.baseline`` is deprecated (with no replacement).
+- The *format* parameter of ``dviread.find_tex_file`` is deprecated (with no
+  replacement).
+- ``FancyArrowPatch.get_path_in_displaycoord`` and
+  ``ConnectionPath.get_path_in_displaycoord`` are deprecated. The path in
+  display coordinates can still be obtained, as for other patches, using
+  ``patch.get_transform().transform_path(patch.get_path())``.
+- The ``font_manager.win32InstalledFonts`` and
+  ``font_manager.get_fontconfig_fonts`` helper functions have been deprecated.
+- All parameters of ``imshow`` starting from *aspect* will become keyword-only.
+- ``QuadMesh.convert_mesh_to_paths`` and ``QuadMesh.convert_mesh_to_triangles``
+  are deprecated. ``QuadMesh.get_paths()`` can be used as an alternative for
+  the former; there is no replacement for the latter.
+- ``ScalarMappable.callbacksSM`` is deprecated. Use
+  ``ScalarMappable.callbacks`` instead.
+- ``streamplot.get_integrator`` is deprecated.
+- ``style.core.STYLE_FILE_PATTERN``, ``style.core.load_base_library``, and
+  ``style.core.iter_user_libraries`` are deprecated.
+- ``SubplotParams.validate`` is deprecated. Use `.SubplotParams.update` to
+  change `.SubplotParams` while always keeping it in a valid state.
+- The ``grey_arrayd``, ``font_family``, ``font_families``, and ``font_info``
+  attributes of `.TexManager` are deprecated.
+- ``Text.get_prop_tup`` is deprecated with no replacements (because the `.Text`
+  class cannot know whether a backend needs to update cache e.g. when the
+  text's color changes).
+- ``Tick.apply_tickdir`` didn't actually update the tick markers on the
+  existing Line2D objects used to draw the ticks and is deprecated; use
+  `.Axis.set_tick_params` instead.
+- ``tight_layout.auto_adjust_subplotpars`` is deprecated.
+
+- The ``grid_info`` attribute of ``axisartist`` classes has been deprecated.
+- ``axisartist.clip_path`` is deprecated with no replacement.
+- ``axes_grid1.axes_grid.CbarAxes`` and ``axes_grid1.axisartist.CbarAxes`` are
+  deprecated (they are now dynamically generated based on the owning axes
+  class).
+- The ``axes_grid1.Divider.get_vsize_hsize`` and
+  ``axes_grid1.Grid.get_vsize_hsize`` methods are deprecated. Copy their
+  implementations if needed.
+- ``AxesDivider.append_axes(..., add_to_figure=False)`` is deprecated. Use
+  ``ax.remove()`` to remove the Axes from the figure if needed.
+- ``FixedAxisArtistHelper.change_tick_coord`` is deprecated with no
+  replacement.
+- ``floating_axes.GridHelperCurveLinear.get_boundary`` is deprecated, with no
+  replacement.
+- ``ParasiteAxesBase.get_images_artists`` has been deprecated.
+
+- The "units finalize" signal (previously emitted by Axis instances) is
+  deprecated. Connect to "units" instead.
+- Passing formatting parameters positionally to ``stem()`` is deprecated
+
+``plot_directive`` deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``:encoding:`` option to ``.. plot`` directive has had no effect since
+Matplotlib 1.3.1, and is now deprecated.
+
+The following helpers in `matplotlib.sphinxext.plot_directive` are deprecated:
+
+- ``unescape_doctest`` (use `doctest.script_from_examples` instead),
+- ``split_code_at_show``, 
+- ``run_code``.
+
+Testing support
+~~~~~~~~~~~~~~~
+
+``matplotlib.test()`` is deprecated
+...................................
+
+Run tests using ``pytest`` from the commandline instead. The variable
+``matplotlib.default_test_modules`` is only used for ``matplotlib.test()`` and
+is thus deprecated as well.
+
+To test an installed copy, be sure to specify both ``matplotlib`` and
+``mpl_toolkits`` with ``--pyargs``::
+
+    pytest --pyargs matplotlib.tests mpl_toolkits.tests
+
+See :ref:`testing` for more details.
+
+Unused pytest fixtures and markers
+..................................
+
+The fixture ``matplotlib.testing.conftest.mpl_image_comparison_parameters`` is
+not used internally by Matplotlib. If you use this please copy it into your
+code base.
+
+The ``@pytest.mark.style`` marker is deprecated; use ``@mpl.style.context``,
+which has the same effect.
+
+Support for ``nx1 = None`` or ``ny1 = None`` in ``AxesLocator`` and ``Divider.locate``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In `.axes_grid1.axes_divider`, various internal APIs will stop supporting
+passing ``nx1 = None`` or ``ny1 = None`` to mean ``nx + 1`` or ``ny + 1``, in
+preparation for a possible future API which allows indexing and slicing of
+dividers (possibly ``divider[a:b] == divider.new_locator(a, b)``, but also
+``divider[a:] == divider.new_locator(a, <end>)``). The user-facing
+`.Divider.new_locator` API is unaffected -- it correctly normalizes ``nx1 =
+None`` and ``ny1 = None`` as needed.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.0/development.rst b/doc/api/prev_api_changes/api_changes_3.5.0/development.rst
new file mode 100644
index 000000000000..b42e6eff3423
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.0/development.rst
@@ -0,0 +1,82 @@
+Development changes
+-------------------
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.5, the :ref:`minimum supported versions <dependencies>` and
+some :ref:`optional dependencies <optional_dependencies>` are being bumped:
+
++---------------+---------------+---------------+
+| Dependency    | min in mpl3.4 | min in mpl3.5 |
++===============+===============+===============+
+| NumPy         |     1.16      |     1.17      |
++---------------+---------------+---------------+
+| Tk (optional) |     8.3       |     8.4       |
++---------------+---------------+---------------+
+
+This is consistent with our :ref:`min_deps_policy` and `NEP29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__
+
+New wheel architectures
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Wheels have been added for:
+
+- Python 3.10
+- PyPy 3.7
+- macOS on Apple Silicon (both arm64 and universal2)
+
+New build dependencies
+~~~~~~~~~~~~~~~~~~~~~~
+
+Versioning has been switched from bundled versioneer to `setuptools-scm
+<https://github.com/pypa/setuptools_scm/>`__ using the
+``release-branch-semver`` version scheme. The latter is well-maintained, but
+may require slight modification to packaging scripts.
+
+The `setuptools-scm-git-archive
+<https://pypi.org/project/setuptools-scm-git-archive/>`__ plugin is also used
+for consistent version export.
+
+Data directory is no longer optional
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Historically, the ``mpl-data`` directory has been optional (example files were
+unnecessary, and fonts could be deleted if a suitable dependency on a system
+font were provided). Though example files are still optional, they have been
+substantially pared down, and we now consider the directory to be required.
+
+Specifically, the ``matplotlibrc`` file found there is used for runtime
+verifications and must exist. Packagers may still symlink fonts to system
+versions if needed.
+
+New runtime dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+fontTools for type 42 subsetting
+................................
+
+A new dependency `fontTools <https://fonttools.readthedocs.io/>`_ is integrated
+into Matplotlib 3.5. It is designed to be used with PS/EPS and PDF documents;
+and handles Type 42 font subsetting.
+
+Underscore support in LaTeX
+...........................
+
+The `underscore <https://ctan.org/pkg/underscore>`_ package is now a
+requirement to improve support for underscores in LaTeX.
+
+This is consistent with our :ref:`min_deps_policy`.
+
+Matplotlib-specific build options moved from ``setup.cfg`` to ``mplsetup.cfg``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In order to avoid conflicting with the use of :file:`setup.cfg` by
+``setuptools``, the Matplotlib-specific build options have moved from
+``setup.cfg`` to ``mplsetup.cfg``.  The :file:`setup.cfg.template` has been
+correspondingly been renamed to :file:`mplsetup.cfg.template`.
+
+Note that the path to this configuration file can still be set via the ``MPLSETUPCFG``
+environment variable, which allows one to keep using the same file before and after this
+change.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.5.0/removals.rst
new file mode 100644
index 000000000000..3acab92c3577
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.0/removals.rst
@@ -0,0 +1,364 @@
+Removals
+--------
+
+The following deprecated APIs have been removed:
+
+Removed behaviour
+~~~~~~~~~~~~~~~~~
+
+Stricter validation of function parameters
+..........................................
+
+- Calling `.Figure.add_axes` with no arguments will raise an error. Adding a
+  free-floating axes needs a position rectangle. If you want a figure-filling
+  single axes, use `.Figure.add_subplot` instead.
+- `.Figure.add_subplot` validates its inputs; in particular, for
+  ``add_subplot(rows, cols, index)``, all parameters must be integral.
+  Previously strings and floats were accepted and converted to int.
+- Passing *None* as the *which* argument to ``autofmt_xdate`` is no longer
+  supported; use its more explicit synonym, ``which="major"``, instead.
+- Setting the *orientation* of an ``eventplot()`` or `.EventCollection` to
+  "none" or *None* is no longer supported; set it to "horizontal" instead.
+  Moreover, the two orientations ("horizontal" and "vertical") are now
+  case-sensitive.
+- Passing parameters *norm* and *vmin*/*vmax* simultaneously to functions using
+  colormapping such as ``scatter()`` and ``imshow()`` is no longer supported.
+  Instead of ``norm=LogNorm(), vmin=min_val, vmax=max_val`` pass
+  ``norm=LogNorm(min_val, max_val)``. *vmin* and *vmax* should only be used
+  without setting *norm*.
+- Passing *None* as either the *radius* or *startangle* arguments of an
+  `.Axes.pie` is no longer accepted; use the explicit defaults of 1 and 0,
+  respectively, instead.
+- Passing *None* as the *normalize* argument of `.Axes.pie` (the former
+  default) is no longer accepted, and the pie will always be normalized by
+  default. If you wish to plot an incomplete pie, explicitly pass
+  ``normalize=False``.
+- Support for passing *None* to ``subplot_class_factory`` has been removed.
+  Explicitly pass in the base `~matplotlib.axes.Axes` class instead.
+- Passing multiple keys as a single comma-separated string or multiple
+  arguments to `.ToolManager.update_keymap` is no longer supported; pass keys
+  as a list of strings instead.
+- Passing the dash offset as *None* is no longer accepted, as this was never
+  universally implemented, e.g. for vector output. Set the offset to 0 instead.
+- Setting a custom method overriding `.Artist.contains` using
+  ``Artist.set_contains`` has been removed, as has ``Artist.get_contains``.
+  There is no replacement, but you may still customize pick events using
+  `.Artist.set_picker`.
+- `~.Axes.semilogx`, `~.Axes.semilogy`, `~.Axes.loglog`, `.LogScale`, and
+  `.SymmetricalLogScale` used to take keyword arguments that depends on the
+  axis orientation ("basex" vs "basey", "subsx" vs "subsy", "nonposx" vs
+  "nonposy"); these parameter names have been removed in favor of "base",
+  "subs", "nonpositive". This removal also affects e.g. ``ax.set_yscale("log",
+  basey=...)`` which must now be spelled ``ax.set_yscale("log", base=...)``.
+
+  The change from "nonpos" to "nonpositive" also affects
+  `~.scale.LogTransform`, `~.scale.InvertedLogTransform`,
+  `~.scale.SymmetricalLogTransform`, etc.
+
+  To use *different* bases for the x-axis and y-axis of a `~.Axes.loglog` plot,
+  use e.g. ``ax.set_xscale("log", base=10); ax.set_yscale("log", base=2)``.
+- Passing *None*, or no argument, to ``parasite_axes_class_factory``,
+  ``parasite_axes_auxtrans_class_factory``, ``host_axes_class_factory`` is no
+  longer accepted; pass an explicit base class instead.
+
+Case-sensitivity is now enforced more
+......................................
+
+- Upper or mixed-case property names are no longer normalized to lowercase in
+  `.Artist.set` and `.Artist.update`. This allows one to pass names such as
+  *patchA* or *UVC*.
+- Case-insensitive capstyles and joinstyles are no longer lower-cased; please
+  pass capstyles ("miter", "round", "bevel") and joinstyles ("butt", "round",
+  "projecting") as lowercase.
+- Saving metadata in PDF with the PGF backend no longer changes keys to
+  lowercase. Only the canonically cased keys listed in the PDF specification
+  (and the `~.backend_pgf.PdfPages` documentation) are accepted.
+
+No implicit initialization of ``Tick`` attributes
+.................................................
+
+The `.Tick` constructor no longer initializes the attributes ``tick1line``,
+``tick2line``, ``gridline``, ``label1``, and ``label2`` via ``_get_tick1line``,
+``_get_tick2line``, ``_get_gridline``, ``_get_text1``, and ``_get_text2``.
+Please directly set the attribute in the subclass' ``__init__`` instead.
+
+``NavigationToolbar2`` subclass changes
+.......................................
+
+Overriding the ``_init_toolbar`` method of `.NavigationToolbar2` to initialize
+third-party toolbars is no longer supported. Instead, the toolbar should be
+initialized in the ``__init__`` method of the subclass (which should call the
+base-class' ``__init__`` as appropriate).
+
+The ``press`` and ``release`` methods of `.NavigationToolbar2` were called when
+pressing or releasing a mouse button, but *only* when an interactive pan or
+zoom was occurring (contrary to what the docs stated). They are no longer
+called; if you write a backend which needs to customize such events, please
+directly override ``press_pan``/``press_zoom``/``release_pan``/``release_zoom``
+instead.
+
+Removal of old file mode flag
+.............................
+
+Flags containing "U" passed to `.cbook.to_filehandle` and `.cbook.open_file_cm`
+are no longer accepted. This is consistent with their removal from `open` in
+Python 3.9.
+
+Keymaps toggling ``Axes.get_navigate`` have been removed
+........................................................
+
+This includes numeric key events and rcParams.
+
+The ``TTFPATH`` and ``AFMPATH`` environment variables
+.....................................................
+
+Support for the (undocumented) ``TTFPATH`` and ``AFMPATH`` environment
+variables has been removed. Register additional fonts using
+``matplotlib.font_manager.fontManager.addfont()``.
+
+Modules
+~~~~~~~
+
+- ``matplotlib.backends.qt_editor.formsubplottool``; use
+  ``matplotlib.backends.backend_qt.SubplotToolQt`` instead.
+- ``matplotlib.compat``
+- ``matplotlib.ttconv``
+- The Qt4-based backends, ``qt4agg`` and ``qt4cairo``, have been removed. Qt4
+  has reached its end-of-life in 2015 and there are no releases of either PyQt4
+  or PySide for recent versions of Python. Please use one of the Qt5 or Qt6
+  backends.
+
+Classes, methods and attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following module-level classes/variables have been removed:
+
+- ``backend_bases.StatusbarBase`` and all its subclasses, and ``StatusBarWx``;
+  messages are displayed in the toolbar
+- ``backend_pgf.GraphicsContextPgf``
+- ``MODIFIER_KEYS``, ``SUPER``, ``ALT``, ``CTRL``, and ``SHIFT`` of
+  `matplotlib.backends.backend_qt5agg` and
+  `matplotlib.backends.backend_qt5cairo`
+- ``backend_wx.DEBUG_MSG``
+- ``dviread.Encoding``
+- ``Fil``, ``Fill``, ``Filll``, ``NegFil``, ``NegFill``, ``NegFilll``, and
+  ``SsGlue`` from `.mathtext`; directly construct glue instances with
+  ``Glue("fil")``, etc.
+- ``mathtext.GlueSpec``
+- ``OldScalarFormatter``, ``IndexFormatter`` and ``IndexDateFormatter``; use
+  `.FuncFormatter` instead
+- ``OldAutoLocator``
+- ``AVConvBase``, ``AVConvWriter`` and ``AVConvFileWriter``. Debian 8 (2015,
+  EOL 06/2020) and Ubuntu 14.04 (EOL 04/2019) were the last versions of Debian
+  and Ubuntu to ship avconv. It remains possible to force the use of avconv by
+  using the FFmpeg-based writers with :rc:`animation.ffmpeg_path` set to
+  "avconv".
+- ``matplotlib.axes._subplots._subplot_classes``
+- ``axes_grid1.axes_rgb.RGBAxesBase``; use ``RGBAxes`` instead
+
+The following class attributes have been removed:
+
+- ``backend_pgf.LatexManager.latex_stdin_utf8``
+- ``backend_pgf.PdfPages.metadata``
+- ``ContourSet.ax`` and ``Quiver.ax``; use ``ContourSet.axes`` or
+  ``Quiver.axes`` as with other artists
+- ``DateFormatter.illegal_s``
+- ``dates.YearLocator.replaced``; `.YearLocator` is now a subclass of
+  `.RRuleLocator`, and the attribute ``YearLocator.replaced`` has been removed.
+  For tick locations that required modifying this, a custom rrule and
+  `.RRuleLocator` can be used instead.
+- ``FigureManagerBase.statusbar``; messages are displayed in the toolbar
+- ``FileMovieWriter.clear_temp``
+- ``mathtext.Glue.glue_subtype``
+- ``MovieWriter.args_key``, ``MovieWriter.exec_key``, and
+  ``HTMLWriter.args_key``
+- ``NavigationToolbar2QT.basedir``; the base directory to the icons is
+  ``os.path.join(mpl.get_data_path(), "images")``
+- ``NavigationToolbar2QT.ctx``
+- ``NavigationToolbar2QT.parent``; to access the parent window, use
+  ``toolbar.canvas.parent()`` or ``toolbar.parent()``
+- ``prevZoomRect``, ``retinaFix``, ``savedRetinaImage``, ``wxoverlay``,
+  ``zoomAxes``, ``zoomStartX``, and ``zoomStartY`` attributes of
+  ``NavigationToolbar2Wx``
+- ``NonUniformImage.is_grayscale``, ``PcolorImage.is_grayscale``, for
+  consistency with ``AxesImage.is_grayscale``. (Note that previously, these
+  attributes were only available *after rendering the image*).
+- ``RendererCairo.fontweights``, ``RendererCairo.fontangles``
+- ``used_characters`` of `.RendererPdf`, `.PdfFile`, and `.RendererPS`
+- ``LogScale.LogTransform``, ``LogScale.InvertedLogTransform``,
+  ``SymmetricalScale.SymmetricalTransform``, and
+  ``SymmetricalScale.InvertedSymmetricalTransform``; directly access the
+  transform classes from `matplotlib.scale`
+- ``cachedir``, ``rgba_arrayd``, ``serif``, ``sans_serif``, ``cursive``, and
+  ``monospace`` attributes of `.TexManager`
+- ``axleft``, ``axright``, ``axbottom``, ``axtop``, ``axwspace``, and
+  ``axhspace`` attributes of `.widgets.SubplotTool`; access the ``ax``
+  attribute of the corresponding slider
+- ``widgets.TextBox.params_to_disable``
+- ``angle_helper.LocatorBase.den``; it has been renamed to *nbins*
+- ``axes_grid.CbarAxesBase.cbid`` and ``axes_grid.CbarAxesBase.locator``; use
+  ``mappable.colorbar_cid`` or ``colorbar.locator`` instead
+
+The following class methods have been removed:
+
+- ``Axes.update_datalim_bounds``; use ``ax.dataLim.set(Bbox.union([ax.dataLim,
+  bounds]))``
+- ``pan`` and ``zoom`` methods of `~.axis.Axis` and `~.ticker.Locator` have
+  been removed; panning and zooming are now implemented using the
+  ``start_pan``, ``drag_pan``, and ``end_pan`` methods of `~.axes.Axes`
+- ``.BboxBase.inverse_transformed``; call `.BboxBase.transformed` on the
+  `~.Transform.inverted()` transform
+- ``Collection.set_offset_position`` and ``Collection.get_offset_position``
+  have been removed; the ``offset_position`` of the `.Collection` class is now
+  "screen"
+- ``Colorbar.on_mappable_changed`` and ``Colorbar.update_bruteforce``; use
+  ``Colorbar.update_normal()`` instead
+- ``docstring.Substitution.from_params`` has been removed; directly assign to
+  ``params`` of ``docstring.Substitution`` instead
+- ``DraggableBase.artist_picker``; set the artist's picker instead
+- ``DraggableBase.on_motion_blit``; use `.DraggableBase.on_motion` instead
+- ``FigureCanvasGTK3._renderer_init``
+- ``Locator.refresh()`` and the associated helper methods
+  ``NavigationToolbar2.draw()`` and ``ToolViewsPositions.refresh_locators()``
+- ``track_characters`` and ``merge_used_characters`` of `.RendererPdf`,
+  `.PdfFile`, and `.RendererPS`
+- ``RendererWx.get_gc``
+- ``SubplotSpec.get_rows_columns``; use the ``GridSpec.nrows``,
+  ``GridSpec.ncols``, ``SubplotSpec.rowspan``, and ``SubplotSpec.colspan``
+  properties instead.
+- ``ScalarMappable.update_dict``, ``ScalarMappable.add_checker()``, and
+  ``ScalarMappable.check_update()``; register a callback in
+  ``ScalarMappable.callbacks`` to be notified of updates
+- ``TexManager.make_tex_preview`` and ``TexManager.make_dvi_preview``
+- ``funcleft``, ``funcright``, ``funcbottom``, ``functop``, ``funcwspace``, and
+  ``funchspace`` methods of `.widgets.SubplotTool`
+
+- ``axes_grid1.axes_rgb.RGBAxes.add_RGB_to_figure``
+- ``axisartist.axis_artist.AxisArtist.dpi_transform``
+- ``axisartist.grid_finder.MaxNLocator.set_factor`` and
+  ``axisartist.grid_finder.FixedLocator.set_factor``; the factor is always 1
+  now
+
+Functions
+~~~~~~~~~
+
+- ``bezier.make_path_regular`` has been removed; use ``Path.cleaned()`` (or
+  ``Path.cleaned(curves=True)``, etc.) instead, but note that these methods add
+  a ``STOP`` code at the end of the path.
+- ``bezier.concatenate_paths`` has been removed; use
+  ``Path.make_compound_path()`` instead.
+- ``cbook.local_over_kwdict`` has been removed; use `.cbook.normalize_kwargs`
+  instead.
+- ``qt_compat.is_pyqt5`` has been removed due to the release of PyQt6. The Qt
+  version can be checked using ``QtCore.qVersion()``.
+- ``testing.compare.make_external_conversion_command`` has been removed.
+- ``axes_grid1.axes_rgb.imshow_rgb`` has been removed; use
+  ``imshow(np.dstack([r, g, b]))`` instead.
+
+Arguments
+~~~~~~~~~
+
+- The *s* parameter to `.Axes.annotate` and  `.pyplot.annotate` is no longer
+  supported; use the new name *text*.
+- The *inframe* parameter to `matplotlib.axes.Axes.draw` has been removed; use
+  `.Axes.redraw_in_frame` instead.
+- The *required*, *forbidden* and *allowed* parameters of
+  `.cbook.normalize_kwargs` have been removed.
+- The *ismath* parameter of the ``draw_tex`` method of all renderer classes has
+  been removed (as a call to ``draw_tex`` — not to be confused with
+  ``draw_text``! — means that the entire string should be passed to the
+  ``usetex`` machinery anyways). Likewise, the text machinery will no longer
+  pass the *ismath* parameter when calling ``draw_tex`` (this should only
+  matter for backend implementers).
+- The *quality*, *optimize*, and *progressive* parameters of `.Figure.savefig`
+  (which only affected JPEG output) have been removed, as well as from the
+  corresponding ``print_jpg`` methods. JPEG output options can be set by
+  directly passing the relevant parameters in *pil_kwargs*.
+- The *clear_temp* parameter of `.FileMovieWriter` has been removed; files
+  placed in a temporary directory (using ``frame_prefix=None``, the default)
+  will be cleared; files placed elsewhere will not.
+- The *copy* parameter of ``mathtext.Glue`` has been removed.
+- The *quantize* parameter of `.Path.cleaned()` has been removed.
+- The *dummy* parameter of `.RendererPgf` has been removed.
+- The *props* parameter of `.Shadow` has been removed; use keyword arguments
+  instead.
+- The *recursionlimit* parameter of ``matplotlib.test`` has been removed.
+- The *label* parameter of `.Tick` has no effect and has been removed.
+- `~.ticker.MaxNLocator` no longer accepts a positional parameter and the
+  keyword argument *nbins* simultaneously because they specify the same
+  quantity.
+- The *add_all* parameter to ``axes_grid.Grid``, ``axes_grid.ImageGrid``,
+  ``axes_rgb.make_rgb_axes``, and ``axes_rgb.RGBAxes`` have been removed; the
+  APIs always behave as if ``add_all=True``.
+- The *den* parameter of ``axisartist.angle_helper.LocatorBase`` has been
+  removed; use *nbins* instead.
+
+- The *s* keyword argument to `.AnnotationBbox.get_fontsize` has no effect and
+  has been removed.
+- The *offset_position* keyword argument of the `.Collection` class has been
+  removed; the ``offset_position`` now "screen".
+- Arbitrary keyword arguments to ``StreamplotSet`` have no effect and have been
+  removed.
+
+- The *fontdict* and *minor* parameters of `.Axes.set_xticklabels` /
+  `.Axes.set_yticklabels` are now keyword-only.
+- All parameters of `.Figure.subplots` except *nrows* and *ncols* are now
+  keyword-only; this avoids typing e.g. ``subplots(1, 1, 1)`` when meaning
+  ``subplot(1, 1, 1)``, but actually getting ``subplots(1, 1, sharex=1)``.
+- All parameters of `.pyplot.tight_layout` are now keyword-only, to be
+  consistent with `.Figure.tight_layout`.
+- ``ColorbarBase`` only takes a single positional argument now, the ``Axes`` to
+  create it in, with all other options required to be keyword arguments. The
+  warning for keyword arguments that were overridden by the mappable is now
+  removed.
+
+- Omitting the *renderer* parameter to `matplotlib.axes.Axes.draw` is no longer
+  supported; use ``axes.draw_artist(axes)`` instead.
+- Passing ``ismath="TeX!"`` to `.RendererAgg.get_text_width_height_descent` is
+  no longer supported; pass ``ismath="TeX"`` instead,
+- Changes to the signature of the `matplotlib.axes.Axes.draw` method make it
+  consistent with all other artists; thus additional parameters to
+  `.Artist.draw` have also been removed.
+
+rcParams
+~~~~~~~~
+
+- The ``animation.avconv_path`` and ``animation.avconv_args`` rcParams have
+  been removed.
+- The ``animation.html_args`` rcParam has been removed.
+- The ``keymap.all_axes`` rcParam has been removed.
+- The ``mathtext.fallback_to_cm`` rcParam has been removed. Use
+  :rc:`mathtext.fallback` instead.
+- The ``savefig.jpeg_quality`` rcParam has been removed.
+- The ``text.latex.preview`` rcParam has been removed.
+- The following deprecated rcParams validators, defined in `.rcsetup`, have
+  been removed:
+
+  - ``validate_alignment``
+  - ``validate_axes_titlelocation``
+  - ``validate_axis_locator``
+  - ``validate_bool_maybe_none``
+  - ``validate_fontset``
+  - ``validate_grid_axis``
+  - ``validate_hinting``
+  - ``validate_legend_loc``
+  - ``validate_mathtext_default``
+  - ``validate_movie_frame_fmt``
+  - ``validate_movie_html_fmt``
+  - ``validate_movie_writer``
+  - ``validate_nseq_float``
+  - ``validate_nseq_int``
+  - ``validate_orientation``
+  - ``validate_pgf_texsystem``
+  - ``validate_ps_papersize``
+  - ``validate_svg_fonttype``
+  - ``validate_toolbar``
+  - ``validate_webagg_address``
+
+- Some rcParam validation has become stricter:
+
+  - :rc:`axes.axisbelow` no longer accepts strings starting with "line"
+    (case-insensitive) as "line"; use "line" (case-sensitive) instead.
+  - :rc:`text.latex.preamble` and ``pdf.preamble`` no longer accept non-string values.
+  - All ``*.linestyle`` rcParams no longer accept ``offset = None``; set the
+    offset to 0 instead.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.2.rst b/doc/api/prev_api_changes/api_changes_3.5.2.rst
new file mode 100644
index 000000000000..47b000de0350
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.2.rst
@@ -0,0 +1,13 @@
+API Changes for 3.5.2
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+QuadMesh mouseover defaults to False
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+New in 3.5, `.QuadMesh.get_cursor_data` allows display of data values
+under the cursor.  However, this can be very slow for large meshes, so
+by ``.QuadMesh.set_mouseover`` defaults to *False*.
diff --git a/doc/api/prev_api_changes/api_changes_3.5.3.rst b/doc/api/prev_api_changes/api_changes_3.5.3.rst
new file mode 100644
index 000000000000..03d1f476513e
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.5.3.rst
@@ -0,0 +1,13 @@
+API Changes for 3.5.3
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+Passing *linefmt* positionally is undeprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Positional use of all formatting parameters in `~.Axes.stem` has been
+deprecated since Matplotlib 3.5. This deprecation is relaxed so that one can
+still pass *linefmt* positionally, i.e. ``stem(x, y, 'r')``.
diff --git a/doc/api/prev_api_changes/api_changes_3.6.0.rst b/doc/api/prev_api_changes/api_changes_3.6.0.rst
new file mode 100644
index 000000000000..1bba4506fd7d
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.6.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.6.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.6.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.6.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.6.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.6.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.6.0/behaviour.rst
new file mode 100644
index 000000000000..6ace010515fb
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.0/behaviour.rst
@@ -0,0 +1,248 @@
+Behaviour changes
+-----------------
+
+``plt.get_cmap`` and ``matplotlib.cm.get_cmap`` return a copy
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Formerly, `~.pyplot.get_cmap` and ``matplotlib.cm.get_cmap`` returned a global version
+of a `.Colormap`. This was prone to errors as modification of the colormap would
+propagate from one location to another without warning. Now, a new copy of the colormap
+is returned.
+
+Large ``imshow`` images are now downsampled
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When showing an image using `~matplotlib.axes.Axes.imshow` that has more than
+:math:`2^{24}` columns or :math:`2^{23}` rows, the image will now be
+downsampled to below this resolution before being resampled for display by the
+AGG renderer. Previously such a large image would be shown incorrectly. To
+prevent this downsampling and the warning it raises, manually downsample your
+data before handing it to `~matplotlib.axes.Axes.imshow`.
+
+Default date limits changed to 1970-01-01 – 1970-01-02
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously the default limits for an empty axis set up for dates
+(`.Axis.axis_date`) was 2000-01-01 to 2010-01-01. This has been changed to
+1970-01-01 to 1970-01-02. With the default epoch, this makes the numeric limit
+for date axes the same as for other axes (0.0-1.0), and users are less likely
+to set a locator with far too many ticks.
+
+*markerfmt* argument to ``stem``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The behavior of the *markerfmt* parameter of `~.Axes.stem` has changed:
+
+- If *markerfmt* does not contain a color, the color is taken from *linefmt*.
+- If *markerfmt* does not contain a marker, the default is 'o'.
+
+Before, *markerfmt* was passed unmodified to ``plot(..., fmt)``, which had a
+number of unintended side-effects; e.g. only giving a color switched to a solid
+line without markers.
+
+For a simple call ``stem(x, y)`` without parameters, the new rules still
+reproduce the old behavior.
+
+``get_ticklabels`` now always populates labels
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously `.Axis.get_ticklabels` (and `.Axes.get_xticklabels`,
+`.Axes.get_yticklabels`) would only return empty strings unless a draw had
+already been performed. Now the ticks and their labels are updated when the
+labels are requested.
+
+Warning when scatter plot color settings discarded
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When making an animation of a scatter plot, if you don't set *c* (the color
+value parameter) when initializing the artist, the color settings are ignored.
+`.Axes.scatter` now raises a warning if color-related settings are changed
+without setting *c*.
+
+3D ``contourf`` polygons placed between levels
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The polygons used in a 3D `~.Axes3D.contourf` plot are now placed halfway
+between the contour levels, as each polygon represents the location of values
+that lie between two levels.
+
+Axes title now avoids y-axis offset
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, Axes titles could overlap the y-axis offset text, which is often in
+the upper left corner of the axes. Now titles are moved above the offset text
+if overlapping when automatic title positioning is in effect (i.e. if *y* in
+`.Axes.set_title` is *None* and :rc:`axes.titley` is also *None*).
+
+Dotted operators gain extra space in mathtext
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In mathtext, ``\doteq \doteqdot \dotminus \dotplus \dots`` are now surrounded
+by extra space because they are correctly treated as relational or binary
+operators.
+
+*math* parameter of ``mathtext.get_unicode_index`` defaults to False
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In math mode, ASCII hyphens (U+002D) are now replaced by Unicode minus signs
+(U+2212) at the parsing stage.
+
+``ArtistList`` proxies copy contents on iteration
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When iterating over the contents of the dynamically generated proxy lists for
+the Artist-type accessors (see :ref:`Behavioural API Changes 3.5 - Axes
+children combined`), a copy of the contents is made. This ensure that artists
+can safely be added or removed from the Axes while iterating over their
+children.
+
+This is a departure from the expected behavior of mutable iterable data types
+in Python — iterating over a list while mutating it has surprising consequences
+and dictionaries will error if they change size during iteration. Because all
+of the accessors are filtered views of the same underlying list, it is possible
+for seemingly unrelated changes, such as removing a Line, to affect the
+iteration over any of the other accessors. In this case, we have opted to make
+a copy of the relevant children before yielding them to the user.
+
+This change is also consistent with our plan to make these accessors immutable
+in Matplotlib 3.7.
+
+``AxesImage`` string representation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The string representation of `.AxesImage` changes from stating the position in
+the figure ``"AxesImage(80,52.8;496x369.6)"`` to giving the number of pixels
+``"AxesImage(size=(300, 200))"``.
+
+Improved autoscaling for Bézier curves
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Bézier curves are now autoscaled to their extents - previously they were
+autoscaled to their ends and control points, which in some cases led to
+unnecessarily large limits.
+
+``QuadMesh`` mouseover defaults to False
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+New in 3.5, `.QuadMesh.get_cursor_data` allows display of data values under the
+cursor. However, this can be very slow for large meshes, so mouseover now
+defaults to *False*.
+
+Changed pgf backend document class
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The pgf backend now uses the ``article`` document class as basis for
+compilation.
+
+``MathtextBackendAgg.get_results`` no longer returns ``used_characters``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The last item (``used_characters``) in the tuple returned by
+``MathtextBackendAgg.get_results`` has been removed. In order to unpack this
+tuple in a backward and forward-compatible way, use e.g. ``ox, oy, width,
+height, descent, image, *_ = parse(...)``, which will ignore
+``used_characters`` if it was present.
+
+``Type1Font`` objects include more properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``matplotlib._type1font.Type1Font.prop`` dictionary now includes more keys,
+such as ``CharStrings`` and ``Subrs``. The value of the ``Encoding`` key is now
+a dictionary mapping codes to glyph names. The
+``matplotlib._type1font.Type1Font.transform`` method now correctly removes
+``UniqueID`` properties from the font.
+
+``rcParams.copy()`` returns ``RcParams`` rather than ``dict``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Returning an `.RcParams` instance from `.RcParams.copy` makes the copy still
+validate inputs, and additionally avoids emitting deprecation warnings when
+using a previously copied instance to update the global instance (even if some
+entries are deprecated).
+
+``rc_context`` no longer resets the value of ``'backend'``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`matplotlib.rc_context` incorrectly reset the value of :rc:`backend` if backend
+resolution was triggered in the context. This affected only the value. The
+actual backend was not changed. Now, `matplotlib.rc_context` does not reset
+:rc:`backend` anymore.
+
+Default ``rcParams["animation.convert_args"]`` changed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It now defaults to ``["-layers", "OptimizePlus"]`` to try to generate smaller
+GIFs. Set it back to an empty list to recover the previous behavior.
+
+Style file encoding now specified to be UTF-8
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It has been impossible to import Matplotlib with a non UTF-8 compatible locale
+encoding because we read the style library at import time. This change is
+formalizing and documenting the status quo so there is no deprecation period.
+
+MacOSX backend uses sRGB instead of GenericRGB color space
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+MacOSX backend now display sRGB tagged image instead of GenericRGB which is an
+older (now deprecated) Apple color space. This is the source color space used
+by ColorSync to convert to the current display profile.
+
+Renderer optional for ``get_tightbbox`` and ``get_window_extent``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.Artist.get_tightbbox` and `.Artist.get_window_extent` methods no longer
+require the *renderer* keyword argument, saving users from having to query it
+from ``fig.canvas.get_renderer``. If the *renderer* keyword argument is not
+supplied, these methods first check if there is a cached renderer from a
+previous draw and use that. If there is no cached renderer, then the methods
+will use ``fig.canvas.get_renderer()`` as a fallback.
+
+``FigureFrameWx`` constructor, subclasses, and ``get_canvas``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``FigureCanvasWx`` constructor gained a *canvas_class* keyword-only
+parameter which specifies the canvas class that should be used. This parameter
+will become required in the future. The ``get_canvas`` method, which was
+previously used to customize canvas creation, is deprecated. The
+``FigureFrameWxAgg`` and ``FigureFrameWxCairo`` subclasses, which overrode
+``get_canvas``, are deprecated.
+
+``FigureFrameWx.sizer``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... has been removed. The frame layout is no longer based on a sizer, as the
+canvas is now the sole child widget; the toolbar is now a regular toolbar added
+using ``SetToolBar``.
+
+Incompatible layout engines raise
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You cannot switch between ``tight_layout`` and ``constrained_layout`` if a
+colorbar has already been added to a figure. Invoking the incompatible layout
+engine used to warn, but now raises with a `RuntimeError`.
+
+``CallbackRegistry`` raises on unknown signals
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When Matplotlib instantiates a `.CallbackRegistry`, it now limits callbacks to
+the signals that the registry knows about. In practice, this means that calling
+`~.FigureCanvasBase.mpl_connect` with an invalid signal name now raises a
+`ValueError`.
+
+Changed exception type for incorrect SVG date metadata
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Providing date metadata with incorrect type to the SVG backend earlier resulted
+in a `ValueError`. Now, a `TypeError` is raised instead.
+
+Specified exception types in ``Grid``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In a few cases an `Exception` was thrown when an incorrect argument value was
+set in the `mpl_toolkits.axes_grid1.axes_grid.Grid` (=
+``mpl_toolkits.axisartist.axes_grid.Grid``) constructor. These are replaced as
+follows:
+
+* Providing an incorrect value for *ngrids* now raises a `ValueError`
+* Providing an incorrect type for *rect* now raises a `TypeError`
diff --git a/doc/api/prev_api_changes/api_changes_3.6.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.6.0/deprecations.rst
new file mode 100644
index 000000000000..3a9e91e12289
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.0/deprecations.rst
@@ -0,0 +1,414 @@
+Deprecations
+------------
+
+Parameters to ``plt.figure()`` and the ``Figure`` constructor
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+All parameters to `.pyplot.figure` and the `.Figure` constructor, other than
+*num*, *figsize*, and *dpi*, will become keyword-only after a deprecation
+period.
+
+Deprecation aliases in cbook
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The module ``matplotlib.cbook.deprecation`` was previously deprecated in
+Matplotlib 3.4, along with deprecation-related API in ``matplotlib.cbook``. Due
+to technical issues, ``matplotlib.cbook.MatplotlibDeprecationWarning`` and
+``matplotlib.cbook.mplDeprecation`` did not raise deprecation warnings on use.
+Changes in Python have now made it possible to warn when these aliases are
+being used.
+
+In order to avoid downstream breakage, these aliases will now warn, and their
+removal has been pushed from 3.6 to 3.8 to give time to notice said warnings.
+As replacement, please use `matplotlib.MatplotlibDeprecationWarning`.
+
+``Axes`` subclasses should override ``clear`` instead of ``cla``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For clarity, `.axes.Axes.clear` is now preferred over `.Axes.cla`. However, for
+backwards compatibility, the latter will remain as an alias for the former.
+
+For additional compatibility with third-party libraries, Matplotlib will
+continue to call the ``cla`` method of any `~.axes.Axes` subclasses if they
+define it. In the future, this will no longer occur, and Matplotlib will only
+call the ``clear`` method in `~.axes.Axes` subclasses.
+
+It is recommended to define only the ``clear`` method when on Matplotlib 3.6,
+and only ``cla`` for older versions.
+
+Pending deprecation top-level cmap registration and access functions in ``mpl.cm``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+As part of a `multi-step process
+<https://github.com/matplotlib/matplotlib/issues/20853>`_ we are refactoring
+the global state for managing the registered colormaps.
+
+In Matplotlib 3.5 we added a `.ColormapRegistry` class and exposed an instance
+at the top level as ``matplotlib.colormaps``. The existing top level functions
+in `matplotlib.cm` (``get_cmap``, ``register_cmap``, ``unregister_cmap``) were
+changed to be aliases around the same instance.
+
+In Matplotlib 3.6 we have marked those top level functions as pending
+deprecation with the intention of deprecation in Matplotlib 3.7. The following
+functions have been marked for pending deprecation:
+
+- ``matplotlib.cm.get_cmap``; use ``matplotlib.colormaps[name]`` instead if you
+  have a `str`.
+
+  **Added 3.6.1** Use `matplotlib.cm.ColormapRegistry.get_cmap` if you
+  have a string, `None` or a `matplotlib.colors.Colormap` object that you want
+  to convert to a `matplotlib.colors.Colormap` instance.
+- ``matplotlib.cm.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead
+- ``matplotlib.cm.unregister_cmap``; use `matplotlib.colormaps.unregister
+  <.ColormapRegistry.unregister>` instead
+- ``matplotlib.pyplot.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead
+
+The `matplotlib.pyplot.get_cmap` function will stay available for backward
+compatibility.
+
+Pending deprecation of layout methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The methods `~.Figure.set_tight_layout`, `~.Figure.set_constrained_layout`, are
+discouraged, and now emit a `PendingDeprecationWarning` in favor of explicitly
+referencing the layout engine via ``figure.set_layout_engine('tight')`` and
+``figure.set_layout_engine('constrained')``. End users should not see the
+warning, but library authors should adjust.
+
+The methods `~.Figure.set_constrained_layout_pads` and
+`~.Figure.get_constrained_layout_pads` are will be deprecated in favor of
+``figure.get_layout_engine().set()`` and ``figure.get_layout_engine().get()``,
+and currently emit a `PendingDeprecationWarning`.
+
+seaborn styles renamed
+~~~~~~~~~~~~~~~~~~~~~~
+
+Matplotlib currently ships many style files inspired from the seaborn library
+("seaborn", "seaborn-bright", "seaborn-colorblind", etc.) but they have gone
+out of sync with the library itself since the release of seaborn 0.9. To
+prevent confusion, the style files have been renamed "seaborn-v0_8",
+"seaborn-v0_8-bright", "seaborn-v0_8-colorblind", etc. Users are encouraged to
+directly use seaborn to access the up-to-date styles.
+
+Auto-removal of overlapping Axes by ``plt.subplot`` and ``plt.subplot2grid``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, `.pyplot.subplot` and `.pyplot.subplot2grid` would automatically
+remove preexisting Axes that overlap with the newly added Axes. This behavior
+was deemed confusing, and is now deprecated. Explicitly call ``ax.remove()`` on
+Axes that need to be removed.
+
+Passing *linefmt* positionally to ``stem`` is undeprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Positional use of all formatting parameters in `~.Axes.stem` has been
+deprecated since Matplotlib 3.5. This deprecation is relaxed so that one can
+still pass *linefmt* positionally, i.e. ``stem(x, y, 'r')``.
+
+``stem(..., use_line_collection=False)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated with no replacement. This was a compatibility fallback to a
+former more inefficient representation of the stem lines.
+
+Positional / keyword arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing all but the very few first arguments positionally in the constructors
+of Artists is deprecated. Most arguments will become keyword-only in a future
+version.
+
+Passing too many positional arguments to ``tripcolor`` is now deprecated (extra
+arguments were previously silently ignored).
+
+Passing *emit* and *auto* parameters of ``set_xlim``, ``set_ylim``,
+``set_zlim``, ``set_rlim`` positionally is deprecated; they will become
+keyword-only in a future release.
+
+The *transOffset* parameter of `.Collection.set_offset_transform` and the
+various ``create_collection`` methods of legend handlers has been renamed to
+*offset_transform* (consistently with the property name).
+
+Calling ``MarkerStyle()`` with no arguments or ``MarkerStyle(None)`` is
+deprecated; use ``MarkerStyle("")`` to construct an empty marker style.
+
+``Axes.get_window_extent`` / ``Figure.get_window_extent`` accept only
+*renderer*. This aligns the API with the general `.Artist.get_window_extent`
+API. All other parameters were ignored anyway.
+
+The *cleared* parameter of ``get_renderer``, which only existed for AGG-based
+backends, has been deprecated. Use ``renderer.clear()`` instead to explicitly
+clear the renderer buffer.
+
+Methods to set parameters in ``LogLocator`` and ``LogFormatter*``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In `~.LogFormatter` and derived subclasses, the methods ``base`` and
+``label_minor`` for setting the respective parameter are deprecated and
+replaced by ``set_base`` and ``set_label_minor``, respectively.
+
+In `~.LogLocator`, the methods ``base`` and ``subs`` for setting the respective
+parameter are deprecated. Instead, use ``set_params(base=..., subs=...)``.
+
+``Axes.get_renderer_cache``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The canvas now takes care of the renderer and whether to cache it or not. The
+alternative is to call ``axes.figure.canvas.get_renderer()``.
+
+Groupers from ``get_shared_x_axes`` / ``get_shared_y_axes`` will be immutable
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Modifications to the Groupers returned by ``get_shared_x_axes`` and
+``get_shared_y_axes`` are deprecated. In the future, these methods will return
+immutable views on the grouper structures. Note that previously, calling e.g.
+``join()`` would already fail to set up the correct structures for sharing
+axes; use `.Axes.sharex` or `.Axes.sharey` instead.
+
+Unused methods in ``Axis``, ``Tick``, ``XAxis``, and ``YAxis``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Tick.label`` has been pending deprecation since 3.1 and is now deprecated.
+Use ``Tick.label1`` instead.
+
+The following methods are no longer used and deprecated without a replacement:
+
+- ``Axis.get_ticklabel_extents``
+- ``Tick.get_pad_pixels``
+- ``XAxis.get_text_heights``
+- ``YAxis.get_text_widths``
+
+``mlab.stride_windows``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated. Use ``np.lib.stride_tricks.sliding_window_view`` instead (or
+``np.lib.stride_tricks.as_strided`` on NumPy < 1.20).
+
+Event handlers
+~~~~~~~~~~~~~~
+
+The ``draw_event``, ``resize_event``, ``close_event``, ``key_press_event``,
+``key_release_event``, ``pick_event``, ``scroll_event``,
+``button_press_event``, ``button_release_event``, ``motion_notify_event``,
+``enter_notify_event`` and ``leave_notify_event`` methods of
+`.FigureCanvasBase` are deprecated. They had inconsistent signatures across
+backends, and made it difficult to improve event metadata.
+
+In order to trigger an event on a canvas, directly construct an `.Event` object
+of the correct class and call ``canvas.callbacks.process(event.name, event)``.
+
+Widgets
+~~~~~~~
+
+All parameters to ``MultiCursor`` starting from *useblit* are becoming
+keyword-only (passing them positionally is deprecated).
+
+The ``canvas`` and ``background`` attributes of ``MultiCursor`` are deprecated
+with no replacement.
+
+The *visible* attribute of Selector widgets has been deprecated; use
+``set_visible`` or ``get_visible`` instead.
+
+The *state_modifier_keys* attribute of Selector widgets has been privatized and
+the modifier keys must be set when creating the widget.
+
+``Axes3D.dist``
+~~~~~~~~~~~~~~~
+
+... has been privatized. Use the *zoom* keyword argument in
+`.Axes3D.set_box_aspect` instead.
+
+3D Axis
+~~~~~~~
+
+The previous constructor of `.axis3d.Axis`, with signature ``(self, adir,
+v_intervalx, d_intervalx, axes, *args, rotate_label=None, **kwargs)`` is
+deprecated in favor of a new signature closer to the one of 2D Axis; it is now
+``(self, axes, *, rotate_label=None, **kwargs)`` where ``kwargs`` are forwarded
+to the 2D Axis constructor. The axis direction is now inferred from the axis
+class' ``axis_name`` attribute (as in the 2D case); the ``adir`` attribute is
+deprecated.
+
+The ``init3d`` method of 3D Axis is also deprecated; all the relevant
+initialization is done as part of the constructor.
+
+The ``d_interval`` and ``v_interval`` attributes of 3D Axis are deprecated; use
+``get_data_interval`` and ``get_view_interval`` instead.
+
+The ``w_xaxis``, ``w_yaxis``, and ``w_zaxis`` attributes of ``Axis3D`` have
+been pending deprecation since 3.1. They are now deprecated. Instead use
+``xaxis``, ``yaxis``, and ``zaxis``.
+
+``mplot3d.axis3d.Axis.set_pane_pos`` is deprecated. This is an internal method
+where the provided values are overwritten during drawing. Hence, it does not
+serve any purpose to be directly accessible.
+
+The two helper functions ``mplot3d.axis3d.move_from_center`` and
+``mplot3d.axis3d.tick_update_position`` are considered internal and deprecated.
+If these are required, please vendor the code from the corresponding private
+methods ``_move_from_center`` and ``_tick_update_position``.
+
+``Figure.callbacks`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The Figure ``callbacks`` property is deprecated. The only signal was
+"dpi_changed", which can be replaced by connecting to the "resize_event" on the
+canvas ``figure.canvas.mpl_connect("resize_event", func)`` instead.
+
+``FigureCanvas`` without a ``required_interactive_framework`` attribute
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Support for such canvas classes is deprecated. Note that canvas classes which
+inherit from ``FigureCanvasBase`` always have such an attribute.
+
+Backend-specific deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``backend_gtk3.FigureManagerGTK3Agg`` and
+  ``backend_gtk4.FigureManagerGTK4Agg``; directly use
+  ``backend_gtk3.FigureManagerGTK3`` and ``backend_gtk4.FigureManagerGTK4``
+  instead.
+- The *window* parameter to ``backend_gtk3.NavigationToolbar2GTK3`` had no
+  effect, and is now deprecated.
+- ``backend_gtk3.NavigationToolbar2GTK3.win``
+- ``backend_gtk3.RendererGTK3Cairo`` and ``backend_gtk4.RendererGTK4Cairo``;
+  use `.RendererCairo` instead, which has gained the ``set_context`` method,
+  which also auto-infers the size of the underlying surface.
+- ``backend_cairo.RendererCairo.set_ctx_from_surface`` and
+  ``backend_cairo.RendererCairo.set_width_height`` in favor of
+  `.RendererCairo.set_context`.
+- ``backend_gtk3.error_msg_gtk``
+- ``backend_gtk3.icon_filename`` and ``backend_gtk3.window_icon``
+- ``backend_macosx.NavigationToolbar2Mac.prepare_configure_subplots`` has been
+  replaced by ``configure_subplots()``.
+- ``backend_pdf.Name.hexify``
+- ``backend_pdf.Operator`` and ``backend_pdf.Op.op`` are deprecated in favor of
+  a single standard `enum.Enum` interface on `.backend_pdf.Op`.
+- ``backend_pdf.fill``; vendor the code of the similarly named private
+  functions if you rely on these functions.
+- ``backend_pgf.LatexManager.texcommand`` and
+  ``backend_pgf.LatexManager.latex_header``
+- ``backend_pgf.NO_ESCAPE``
+- ``backend_pgf.common_texification``
+- ``backend_pgf.get_fontspec``
+- ``backend_pgf.get_preamble``
+- ``backend_pgf.re_mathsep``
+- ``backend_pgf.writeln``
+- ``backend_ps.convert_psfrags``
+- ``backend_ps.quote_ps_string``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_qt.qApp``; use ``QtWidgets.QApplication.instance()`` instead.
+- ``backend_svg.escape_attrib``; vendor the code of the similarly named private
+  functions if you rely on it.
+- ``backend_svg.escape_cdata``; vendor the code of the similarly named private
+  functions if you rely on it.
+- ``backend_svg.escape_comment``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_svg.short_float_fmt``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_svg.generate_transform`` and ``backend_svg.generate_css``
+- ``backend_tk.NavigationToolbar2Tk.lastrect`` and
+  ``backend_tk.RubberbandTk.lastrect``
+- ``backend_tk.NavigationToolbar2Tk.window``; use ``toolbar.master`` instead.
+- ``backend_tools.ToolBase.destroy``; To run code upon tool removal, connect to
+  the ``tool_removed_event`` event.
+- ``backend_wx.RendererWx.offset_text_height``
+- ``backend_wx.error_msg_wx``
+
+- ``FigureCanvasBase.pick``; directly call `.Figure.pick`, which has taken over
+  the responsibility of checking the canvas widget lock as well.
+- ``FigureCanvasBase.resize``, which has no effect; use
+  ``FigureManagerBase.resize`` instead.
+
+- ``FigureManagerMac.close``
+
+- ``FigureFrameWx.sizer``; use ``frame.GetSizer()`` instead.
+- ``FigureFrameWx.figmgr`` and ``FigureFrameWx.get_figure_manager``; use
+  ``frame.canvas.manager`` instead.
+- ``FigureFrameWx.num``; use ``frame.canvas.manager.num`` instead.
+- ``FigureFrameWx.toolbar``; use ``frame.GetToolBar()`` instead.
+- ``FigureFrameWx.toolmanager``; use ``frame.canvas.manager.toolmanager``
+  instead.
+
+Modules
+~~~~~~~
+
+The modules ``matplotlib.afm``, ``matplotlib.docstring``,
+``matplotlib.fontconfig_pattern``, ``matplotlib.tight_bbox``,
+``matplotlib.tight_layout``, and ``matplotlib.type1font`` are considered
+internal and public access is deprecated.
+
+``checkdep_usetex`` deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This method was only intended to disable tests in case no latex install was
+found. As such, it is considered to be private and for internal use only.
+
+Please vendor the code if you need this.
+
+``date_ticker_factory`` deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``date_ticker_factory`` method in the `matplotlib.dates` module is
+deprecated. Instead use `~.AutoDateLocator` and `~.AutoDateFormatter` for a
+more flexible and scalable locator and formatter.
+
+If you need the exact ``date_ticker_factory`` behavior, please copy the code.
+
+``dviread.find_tex_file`` will raise ``FileNotFoundError``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In the future, ``dviread.find_tex_file`` will raise a `FileNotFoundError` for
+missing files. Previously, it would return an empty string in such cases.
+Raising an exception allows attaching a user-friendly message instead. During
+the transition period, a warning is raised.
+
+``transforms.Affine2D.identity()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated in favor of directly calling the `.Affine2D` constructor with
+no arguments.
+
+Deprecations in ``testing.decorators``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The unused class ``CleanupTestCase`` and decorator ``cleanup`` are deprecated
+and will be removed. Vendor the code, including the private function
+``_cleanup_cm``.
+
+The function ``check_freetype_version`` is considered internal and deprecated.
+Vendor the code of the private function ``_check_freetype_version``.
+
+``text.get_rotation()``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated with no replacement. Copy the original implementation if
+needed.
+
+Miscellaneous internals
+~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``axes_grid1.axes_size.AddList``; use ``sum(sizes, start=Fixed(0))`` (for
+  example) to sum multiple size objects.
+- ``axes_size.Padded``; use ``size + pad`` instead
+- ``axes_size.SizeFromFunc``, ``axes_size.GetExtentHelper``
+- ``AxisArtistHelper.delta1`` and ``AxisArtistHelper.delta2``
+- ``axislines.GridHelperBase.new_gridlines`` and
+  ``axislines.Axes.new_gridlines``
+- ``cbook.maxdict``; use the standard library ``functools.lru_cache`` instead.
+- ``_DummyAxis.dataLim`` and ``_DummyAxis.viewLim``; use
+  ``get_data_interval()``, ``set_data_interval()``, ``get_view_interval()``,
+  and ``set_view_interval()`` instead.
+- ``GridSpecBase.get_grid_positions(..., raw=True)``
+- ``ImageMagickBase.delay`` and ``ImageMagickBase.output_args``
+- ``MathtextBackend``, ``MathtextBackendAgg``, ``MathtextBackendPath``,
+  ``MathTextWarning``
+- ``TexManager.get_font_config``; it previously returned an internal hashed key
+  for used for caching purposes.
+- ``TextToPath.get_texmanager``; directly construct a `.texmanager.TexManager`
+  instead.
+- ``ticker.is_close_to_int``; use ``math.isclose(x, round(x))`` instead.
+- ``ticker.is_decade``; use ``y = numpy.log(x)/numpy.log(base);
+  numpy.isclose(y, numpy.round(y))`` instead.
diff --git a/doc/api/prev_api_changes/api_changes_3.6.0/development.rst b/doc/api/prev_api_changes/api_changes_3.6.0/development.rst
new file mode 100644
index 000000000000..fb9f1f3e21c5
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.0/development.rst
@@ -0,0 +1,42 @@
+Development changes
+-------------------
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.6, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.5  | min in mpl3.6 |
++============+=================+===============+
+|   Python   |       3.7       |      3.8      |
++------------+-----------------+---------------+
+|   NumPy    |       1.17      |      1.19     |
++------------+-----------------+---------------+
+
+This is consistent with our :ref:`min_deps_policy` and `NEP29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__
+
+Build setup options changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``gui_support.macosx`` setup option has been renamed to
+``packages.macosx``.
+
+New wheel architectures
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Wheels have been added for:
+
+- Python 3.11
+- PyPy 3.8 and 3.9
+
+Increase to required versions of documentation dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`sphinx`_ >= 3.0 and `numpydoc`_ >= 1.0 are now required for building the
+documentation.
+
+.. _numpydoc: https://pypi.org/project/numpydoc/
+.. _sphinx: https://pypi.org/project/Sphinx/
diff --git a/doc/api/prev_api_changes/api_changes_3.6.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.6.0/removals.rst
new file mode 100644
index 000000000000..1e128ef5e90d
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.0/removals.rst
@@ -0,0 +1,222 @@
+Removals
+--------
+
+The following deprecated APIs have been removed:
+
+Removed behaviour
+~~~~~~~~~~~~~~~~~
+
+Stricter validation of function parameters
+..........................................
+
+- Unknown keyword arguments to `.Figure.savefig`, `.pyplot.savefig`, and the
+  ``FigureCanvas.print_*`` methods now raise a `TypeError`, instead of being
+  ignored.
+- Extra parameters to the `~.axes.Axes` constructor, i.e., those other than
+  *fig* and *rect*, are now keyword only.
+- Passing arguments not specifically listed in the signatures of
+  `.Axes3D.plot_surface` and `.Axes3D.plot_wireframe` is no longer supported;
+  pass any extra arguments as keyword arguments instead.
+- Passing positional arguments to `.LineCollection` has been removed; use
+  specific keyword argument names now.
+
+``imread`` no longer accepts URLs
+.................................
+
+Passing a URL to `~.pyplot.imread()` has been removed. Please open the URL for
+reading and directly use the Pillow API (e.g.,
+``PIL.Image.open(urllib.request.urlopen(url))``, or
+``PIL.Image.open(io.BytesIO(requests.get(url).content))``) instead.
+
+MarkerStyle is immutable
+........................
+
+The methods ``MarkerStyle.set_fillstyle`` and ``MarkerStyle.set_marker`` have
+been removed. Create a new `.MarkerStyle` with the respective parameters
+instead.
+
+Passing bytes to ``FT2Font.set_text``
+.....................................
+
+... is no longer supported. Pass `str` instead.
+
+Support for passing tool names to ``ToolManager.add_tool``
+..........................................................
+
+... has been removed.  The second parameter to `.ToolManager.add_tool` must now
+always be a tool class.
+
+``backend_tools.ToolFullScreen`` now inherits from ``ToolBase``, not from ``ToolToggleBase``
+............................................................................................
+
+`.ToolFullScreen` can only switch between the non-fullscreen and fullscreen
+states, but not unconditionally put the window in a given state; hence the
+``enable`` and ``disable`` methods were misleadingly named.  Thus, the
+`.ToolToggleBase`-related API (``enable``, ``disable``, etc.) was removed.
+
+``BoxStyle._Base`` and ``transmute`` method of box styles
+.........................................................
+
+... have been removed.  Box styles implemented as classes no longer need to
+inherit from a base class.
+
+Loaded modules logging
+......................
+
+The list of currently loaded modules is no longer logged at the DEBUG level at
+Matplotlib import time, because it can produce extensive output and make other
+valuable DEBUG statements difficult to find. If you were relying on this
+output, please arrange for your own logging (the built-in `sys.modules` can be
+used to get the currently loaded modules).
+
+Modules
+~~~~~~~
+
+- The ``cbook.deprecation`` module has been removed from the public API as it
+  is considered internal.
+- The ``mpl_toolkits.axes_grid`` module has been removed. All functionality from
+  ``mpl_toolkits.axes_grid`` can be found in either `mpl_toolkits.axes_grid1`
+  or `mpl_toolkits.axisartist`. Axes classes from ``mpl_toolkits.axes_grid``
+  based on ``Axis`` from `mpl_toolkits.axisartist` can be found in
+  `mpl_toolkits.axisartist`.
+
+Classes, methods and attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following module-level classes/variables have been removed:
+
+- ``cm.cmap_d``
+- ``colorbar.colorbar_doc``, ``colorbar.colorbar_kw_doc``
+- ``ColorbarPatch``
+- ``mathtext.Fonts`` and all its subclasses
+- ``mathtext.FontConstantsBase`` and all its subclasses
+- ``mathtext.latex_to_bakoma``, ``mathtext.latex_to_cmex``,
+  ``mathtext.latex_to_standard``
+- ``mathtext.MathtextBackendPdf``, ``mathtext.MathtextBackendPs``,
+  ``mathtext.MathtextBackendSvg``, ``mathtext.MathtextBackendCairo``; use
+  ``.MathtextBackendPath`` instead.
+- ``mathtext.Node`` and all its subclasses
+- ``mathtext.NUM_SIZE_LEVELS``
+- ``mathtext.Parser``
+- ``mathtext.Ship``
+- ``mathtext.SHRINK_FACTOR`` and ``mathtext.GROW_FACTOR``
+- ``mathtext.stix_virtual_fonts``,
+- ``mathtext.tex2uni``
+- ``backend_pgf.TmpDirCleaner``
+- ``backend_ps.GraphicsContextPS``; use ``GraphicsContextBase`` instead.
+- ``backend_wx.IDLE_DELAY``
+- ``axes_grid1.parasite_axes.ParasiteAxesAuxTransBase``; use
+  `.ParasiteAxesBase` instead.
+- ``axes_grid1.parasite_axes.ParasiteAxesAuxTrans``; use `.ParasiteAxes`
+  instead.
+
+The following class attributes have been removed:
+
+- ``Line2D.validCap`` and ``Line2D.validJoin``; validation is centralized in
+  ``rcsetup``.
+- ``Patch.validCap`` and ``Patch.validJoin``; validation is centralized in
+  ``rcsetup``.
+- ``renderer.M``, ``renderer.eye``, ``renderer.vvec``,
+  ``renderer.get_axis_position`` placed on the Renderer during 3D Axes draw;
+  these attributes are all available via `.Axes3D`, which can be accessed via
+  ``self.axes`` on all `.Artist`\s.
+- ``RendererPdf.mathtext_parser``, ``RendererPS.mathtext_parser``,
+  ``RendererSVG.mathtext_parser``, ``RendererCairo.mathtext_parser``
+- ``StandardPsFonts.pswriter``
+- ``Subplot.figbox``; use `.Axes.get_position` instead.
+- ``Subplot.numRows``; ``ax.get_gridspec().nrows`` instead.
+- ``Subplot.numCols``; ``ax.get_gridspec().ncols`` instead.
+- ``SubplotDivider.figbox``
+- ``cids``, ``cnt``, ``observers``, ``change_observers``, and
+  ``submit_observers`` on all `.Widget`\s
+
+The following class methods have been removed:
+
+- ``Axis.cla()``; use `.Axis.clear` instead.
+- ``RadialAxis.cla()`` and ``ThetaAxis.cla()``; use `.RadialAxis.clear` or
+  `.ThetaAxis.clear` instead.
+- ``Spine.cla()``; use `.Spine.clear` instead.
+- ``ContourLabeler.get_label_coords()``; there is no replacement as it was
+  considered an internal helper.
+- ``FancyArrowPatch.get_dpi_cor`` and ``FancyArrowPatch.set_dpi_cor``
+
+- ``FigureCanvas.get_window_title()`` and ``FigureCanvas.set_window_title()``;
+  use `.FigureManagerBase.get_window_title` or
+  `.FigureManagerBase.set_window_title` if using pyplot, or use GUI-specific
+  methods if embedding.
+- ``FigureManager.key_press()`` and ``FigureManager.button_press()``; trigger
+  the events directly on the canvas using
+  ``canvas.callbacks.process(event.name, event)`` for key and button events.
+
+- ``RendererAgg.get_content_extents()`` and
+  ``RendererAgg.tostring_rgba_minimized()``
+- ``NavigationToolbar2Wx.get_canvas()``
+
+- ``ParasiteAxesBase.update_viewlim()``; use ``ParasiteAxesBase.apply_aspect``
+  instead.
+- ``Subplot.get_geometry()``; use ``SubplotBase.get_subplotspec`` instead.
+- ``Subplot.change_geometry()``; use ``SubplotBase.set_subplotspec`` instead.
+- ``Subplot.update_params()``; this method did nothing.
+- ``Subplot.is_first_row()``; use ``ax.get_subplotspec().is_first_row``
+  instead.
+- ``Subplot.is_first_col()``; use ``ax.get_subplotspec().is_first_col``
+  instead.
+- ``Subplot.is_last_row()``; use ``ax.get_subplotspec().is_last_row`` instead.
+- ``Subplot.is_last_col()``; use ``ax.get_subplotspec().is_last_col`` instead.
+- ``SubplotDivider.change_geometry()``; use `.SubplotDivider.set_subplotspec`
+  instead.
+- ``SubplotDivider.get_geometry()``; use `.SubplotDivider.get_subplotspec`
+  instead.
+- ``SubplotDivider.update_params()``
+- ``get_depth``, ``parse``, ``to_mask``, ``to_rgba``, and ``to_png`` of
+  `.MathTextParser`; use `.mathtext.math_to_image` instead.
+
+- ``MovieWriter.cleanup()``; the cleanup logic is instead fully implemented in
+  `.MovieWriter.finish` and ``cleanup`` is no longer called.
+
+Functions
+~~~~~~~~~
+
+The following functions have been removed;
+
+- ``backend_template.new_figure_manager()``,
+  ``backend_template.new_figure_manager_given_figure()``, and
+  ``backend_template.draw_if_interactive()`` have been removed, as part of the
+  introduction of the simplified backend API.
+- Deprecation-related re-imports ``cbook.deprecated()``, and
+  ``cbook.warn_deprecated()``.
+- ``colorbar.colorbar_factory()``; use `.Colorbar` instead.
+  ``colorbar.make_axes_kw_doc()``
+- ``mathtext.Error()``
+- ``mathtext.ship()``
+- ``mathtext.tex2uni()``
+- ``axes_grid1.parasite_axes.parasite_axes_auxtrans_class_factory()``; use
+  `.parasite_axes_class_factory` instead.
+- ``sphinext.plot_directive.align()``; use
+  ``docutils.parsers.rst.directives.images.Image.align`` instead.
+
+Arguments
+~~~~~~~~~
+
+The following arguments have been removed:
+
+- *dpi* from ``print_ps()`` in the PS backend and ``print_pdf()`` in the PDF
+  backend. Instead, the methods will obtain the DPI from the ``savefig``
+  machinery.
+- *dpi_cor* from `~.FancyArrowPatch`
+- *minimum_descent* from ``TextArea``; it is now effectively always True
+- *origin* from ``FigureCanvasWx.gui_repaint()``
+- *project* from ``Line3DCollection.draw()``
+- *renderer* from `.Line3DCollection.do_3d_projection`,
+  `.Patch3D.do_3d_projection`, `.PathPatch3D.do_3d_projection`,
+  `.Path3DCollection.do_3d_projection`, `.Patch3DCollection.do_3d_projection`,
+  `.Poly3DCollection.do_3d_projection`
+- *resize_callback* from the Tk backend; use
+  ``get_tk_widget().bind('<Configure>', ..., True)`` instead.
+- *return_all* from ``gridspec.get_position()``
+- Keyword arguments to ``gca()``; there is no replacement.
+
+rcParams
+~~~~~~~~
+
+The setting :rc:`ps.useafm` no longer has any effect on `matplotlib.mathtext`.
diff --git a/doc/api/prev_api_changes/api_changes_3.6.1.rst b/doc/api/prev_api_changes/api_changes_3.6.1.rst
new file mode 100644
index 000000000000..ad929d426885
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.6.1.rst
@@ -0,0 +1,15 @@
+API Changes for 3.6.1
+=====================
+
+Deprecations
+------------
+
+Colorbars for orphaned mappables are deprecated, but no longer raise
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Before 3.6.0, Colorbars for mappables that do not have a parent Axes would
+steal space from the current Axes. 3.6.0 raised an error on this, but without a
+deprecation cycle. For 3.6.1 this is reverted; the current Axes is used, but a
+deprecation warning is shown instead. In this undetermined case, users and
+libraries should explicitly specify what Axes they want space to be stolen
+from: ``fig.colorbar(mappable, ax=plt.gca())``.
diff --git a/doc/api/prev_api_changes/api_changes_3.7.0.rst b/doc/api/prev_api_changes/api_changes_3.7.0.rst
new file mode 100644
index 000000000000..932a4ba34452
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.7.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.7.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.7.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.7.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.7.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.7.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.7.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.7.0/behaviour.rst
new file mode 100644
index 000000000000..2409eb2a5dd0
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.7.0/behaviour.rst
@@ -0,0 +1,135 @@
+Behaviour Changes
+-----------------
+
+All Axes have ``get_subplotspec`` and ``get_gridspec`` methods now, which returns None for Axes not positioned via a gridspec
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, this method was only present for Axes positioned via a gridspec.
+Following this change, checking ``hasattr(ax, "get_gridspec")`` should now be
+replaced by ``ax.get_gridspec() is not None``.  For compatibility with older
+Matplotlib releases, one can also check
+``hasattr(ax, "get_gridspec") and ax.get_gridspec() is not None``.
+
+``HostAxesBase.get_aux_axes`` now defaults to using the same base axes class as the host axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If using an ``mpl_toolkits.axisartist``-based host Axes, the parasite Axes will
+also be based on ``mpl_toolkits.axisartist``.  This behavior is consistent with
+``HostAxesBase.twin``, ``HostAxesBase.twinx``, and ``HostAxesBase.twiny``.
+
+``plt.get_cmap`` and ``matplotlib.cm.get_cmap`` return a copy
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Formerly, `~.pyplot.get_cmap` and ``matplotlib.cm.get_cmap`` returned a global version
+of a `.Colormap`. This was prone to errors as modification of the colormap would
+propagate from one location to another without warning. Now, a new copy of the colormap
+is returned.
+
+``TrapezoidMapTriFinder`` uses different random number generator
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The random number generator used to determine the order of insertion of
+triangle edges in ``TrapezoidMapTriFinder`` has changed. This can result in a
+different triangle index being returned for a point that lies exactly on an
+edge between two triangles. This can also affect triangulation interpolation
+and refinement algorithms that use ``TrapezoidMapTriFinder``.
+
+``FuncAnimation(save_count=None)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing ``save_count=None`` to `.FuncAnimation` no longer limits the number
+of frames to 100. Make sure that it either can be inferred from *frames*
+or provide an integer *save_count*.
+
+``CenteredNorm`` halfrange is not modified when vcenter changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, the **halfrange** would expand in proportion to the
+amount that **vcenter** was moved away from either **vmin** or **vmax**.
+Now, the halfrange remains fixed when vcenter is changed, and **vmin** and
+**vmax** are updated based on the **vcenter** and **halfrange** values.
+
+For example, this is what the values were when changing vcenter previously.
+
+.. code-block:: python
+
+    norm = CenteredNorm(vcenter=0, halfrange=1)
+    # Move vcenter up by one
+    norm.vcenter = 1
+    # updates halfrange and vmax (vmin stays the same)
+    # norm.halfrange == 2, vmin == -1, vmax == 3
+
+and now, with that same example
+
+.. code-block:: python
+
+    norm = CenteredNorm(vcenter=0, halfrange=1)
+    norm.vcenter = 1
+    # updates vmin and vmax (halfrange stays the same)
+    # norm.halfrange == 1, vmin == 0, vmax == 2
+
+The **halfrange** can be set manually or ``norm.autoscale()``
+can be used to automatically set the limits after setting **vcenter**.
+
+``fig.subplot_mosaic`` no longer passes the ``gridspec_kw`` args to nested gridspecs.
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For nested `.Figure.subplot_mosaic` layouts, it is almost always
+inappropriate for *gridspec_kw* arguments to be passed to lower nest
+levels, and these arguments are incompatible with the lower levels in
+many cases. This dictionary is no longer passed to the inner
+layouts. Users who need to modify *gridspec_kw* at multiple levels
+should use `.Figure.subfigures` to get nesting, and construct the
+inner layouts with `.Figure.subplots` or `.Figure.subplot_mosaic`.
+
+``HPacker`` alignment with **bottom** or **top** are now correct
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, the **bottom** and **top** alignments were swapped.
+This has been corrected so that the alignments correspond appropriately.
+
+On Windows only fonts known to the registry will be discovered
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, Matplotlib would recursively walk user and system font directories
+to discover fonts, however this lead to a number of undesirable behaviors
+including finding deleted fonts. Now Matplotlib will only find fonts that are
+known to the Windows registry.
+
+This means that any user installed fonts must go through the Windows font
+installer rather than simply being copied to the correct folder.
+
+This only impacts the set of fonts Matplotlib will consider when using
+`matplotlib.font_manager.findfont`. To use an arbitrary font, directly pass the
+path to a font as shown in
+:doc:`/gallery/text_labels_and_annotations/font_file`.
+
+``QuadMesh.set_array`` now always raises ``ValueError`` for inputs with incorrect shapes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It could previously also raise `TypeError` in some cases.
+
+``contour`` and ``contourf`` auto-select suitable levels when given boolean inputs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If the height array given to `.Axes.contour` or `.Axes.contourf` is of bool
+dtype and *levels* is not specified, *levels* now defaults to ``[0.5]`` for
+`~.Axes.contour` and ``[0, 0.5, 1]`` for `.Axes.contourf`.
+
+``contour`` no longer warns if no contour lines are drawn.
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This can occur if the user explicitly passes a ``levels`` array with no values
+between ``z.min()`` and ``z.max()``; or if ``z`` has the same value everywhere.
+
+``AxesImage.set_extent`` now raises ``TypeError`` for unknown keyword arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It previously raised a `ValueError`.
+
+Change of ``legend(loc="best")`` behavior
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The algorithm of the auto-legend locator has been tweaked to better handle
+non rectangular patches. Additional details on this change can be found in
+:ghissue:`9580` and :ghissue:`9598`.
diff --git a/doc/api/prev_api_changes/api_changes_3.7.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.7.0/deprecations.rst
new file mode 100644
index 000000000000..55a0a7133c65
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.7.0/deprecations.rst
@@ -0,0 +1,291 @@
+Deprecations
+------------
+
+``Axes`` subclasses should override ``clear`` instead of ``cla``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For clarity, `.axes.Axes.clear` is now preferred over `.Axes.cla`. However, for
+backwards compatibility, the latter will remain as an alias for the former.
+
+For additional compatibility with third-party libraries, Matplotlib will
+continue to call the ``cla`` method of any `~.axes.Axes` subclasses if they
+define it. In the future, this will no longer occur, and Matplotlib will only
+call the ``clear`` method in `~.axes.Axes` subclasses.
+
+It is recommended to define only the ``clear`` method when on Matplotlib 3.6,
+and only ``cla`` for older versions.
+
+rcParams type
+~~~~~~~~~~~~~
+
+Relying on ``rcParams`` being a ``dict`` subclass is deprecated.
+
+Nothing will change for regular users because ``rcParams`` will continue to
+be dict-like (technically fulfill the ``MutableMapping`` interface).
+
+The `.RcParams` class does validation checking on calls to
+``.RcParams.__getitem__`` and ``.RcParams.__setitem__``.  However, there are rare
+cases where we want to circumvent the validation logic and directly access the
+underlying data values.   Previously, this could be accomplished via  a call to
+the parent methods  ``dict.__getitem__(rcParams, key)`` and
+``dict.__setitem__(rcParams, key, val)``.
+
+Matplotlib 3.7 introduces ``rcParams._set(key, val)`` and
+``rcParams._get(key)`` as a replacement to calling the parent methods. They are
+intentionally marked private to discourage external use; However, if direct
+`.RcParams` data access is needed, please switch from the dict functions to the
+new ``_get()`` and ``_set()``. Even though marked private, we guarantee API
+stability for these methods and they are subject to Matplotlib's API and
+deprecation policy.
+
+Please notify the Matplotlib developers if you rely on ``rcParams`` being a
+dict subclass in any other way, for which there is no migration path yet.
+
+Deprecation aliases in cbook
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The module ``matplotlib.cbook.deprecation`` was previously deprecated in
+Matplotlib 3.4, along with deprecation-related API in ``matplotlib.cbook``. Due
+to technical issues, ``matplotlib.cbook.MatplotlibDeprecationWarning`` and
+``matplotlib.cbook.mplDeprecation`` did not raise deprecation warnings on use.
+Changes in Python have now made it possible to warn when these aliases are
+being used.
+
+In order to avoid downstream breakage, these aliases will now warn, and their
+removal has been pushed from 3.6 to 3.8 to give time to notice said warnings.
+As replacement, please use `matplotlib.MatplotlibDeprecationWarning`.
+
+``draw_gouraud_triangle``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated as in most backends this is a redundant call. Use
+`~.RendererBase.draw_gouraud_triangles` instead. A ``draw_gouraud_triangle``
+call in a custom `~matplotlib.artist.Artist` can readily be replaced as::
+
+    self.draw_gouraud_triangles(gc, points.reshape((1, 3, 2)),
+                                colors.reshape((1, 3, 4)), trans)
+
+A `~.RendererBase.draw_gouraud_triangles` method can be implemented from an
+existing ``draw_gouraud_triangle`` method as::
+
+    transform = transform.frozen()
+    for tri, col in zip(triangles_array, colors_array):
+        self.draw_gouraud_triangle(gc, tri, col, transform)
+
+``matplotlib.pyplot.get_plot_commands``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is a pending deprecation. This is considered internal and no end-user
+should need it.
+
+``matplotlib.tri`` submodules are deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``matplotlib.tri.*`` submodules are deprecated.  All functionality is
+available in ``matplotlib.tri`` directly and should be imported from there.
+
+Passing undefined *label_mode* to ``Grid``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated. This includes `mpl_toolkits.axes_grid1.axes_grid.Grid`,
+`mpl_toolkits.axes_grid1.axes_grid.AxesGrid`, and
+`mpl_toolkits.axes_grid1.axes_grid.ImageGrid` as well as the corresponding
+classes imported from ``mpl_toolkits.axisartist.axes_grid``.
+
+Pass ``label_mode='keep'`` instead to get the previous behavior of not modifying labels.
+
+Colorbars for orphaned mappables are deprecated, but no longer raise
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Before 3.6.0, Colorbars for mappables that do not have a parent axes would
+steal space from the current Axes.  3.6.0 raised an error on this, but without
+a deprecation cycle.  For 3.6.1 this is reverted, the current axes is used,
+but a deprecation warning is shown instead.  In this undetermined case users
+and libraries should explicitly specify what axes they want space to be stolen
+from: ``fig.colorbar(mappable, ax=plt.gca())``.
+
+``Animation`` attributes
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+The attributes ``repeat`` of `.TimedAnimation` and subclasses and
+``save_count`` of `.FuncAnimation` are considered private and deprecated.
+
+``contour.ClabelText`` and ``ContourLabeler.set_label_props``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated.
+
+Use ``Text(..., transform_rotates_text=True)`` as a replacement for
+``contour.ClabelText(...)`` and ``text.set(text=text, color=color,
+fontproperties=labeler.labelFontProps, clip_box=labeler.axes.bbox)`` as a
+replacement for the ``ContourLabeler.set_label_props(label, text, color)``.
+
+``ContourLabeler`` attributes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``labelFontProps``, ``labelFontSizeList``, and ``labelTextsList``
+attributes of `.ContourLabeler` have been deprecated.  Use the ``labelTexts``
+attribute and the font properties of the corresponding text objects instead.
+
+``backend_ps.PsBackendHelper`` and ``backend_ps.ps_backend_helper``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated with no replacement.
+
+``backend_webagg.ServerThread`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... with no replacement.
+
+``parse_fontconfig_pattern`` will no longer ignore unknown constant names
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, in a fontconfig pattern like ``DejaVu Sans:foo``, the unknown
+``foo`` constant name would be silently ignored.  This now raises a warning,
+and will become an error in the future.
+
+``BufferRegion.to_string`` and ``BufferRegion.to_string_argb``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated.  Use ``np.asarray(buffer_region)`` to get an array view on
+a buffer region without making a copy; to convert that view from RGBA (the
+default) to ARGB, use ``np.take(..., [2, 1, 0, 3], axis=2)``.
+
+``num2julian``, ``julian2num`` and ``JULIAN_OFFSET``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... of the `.dates` module are deprecated without replacements. These are
+undocumented and not exported. If you rely on these, please make a local copy.
+
+``unit_cube``, ``tunit_cube``, and ``tunit_edges``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... of `.Axes3D` are deprecated without replacements. If you rely on them,
+please copy the code of the corresponding private function (name starting
+with ``_``).
+
+Most arguments to widgets have been made keyword-only
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing all but the very few first arguments positionally in the constructors
+of Widgets is deprecated. Most arguments will become keyword-only in a future
+version.
+
+``SimpleEvent``
+~~~~~~~~~~~~~~~
+
+The ``SimpleEvent`` nested class (previously accessible via the public
+subclasses of ``ConnectionStyle._Base``, such as `.ConnectionStyle.Arc`, has
+been deprecated.
+
+``RadioButtons.circles``
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated.  (RadioButtons now draws itself using `~.Axes.scatter`.)
+
+``CheckButtons.rectangles`` and ``CheckButtons.lines``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``CheckButtons.rectangles`` and ``CheckButtons.lines`` are deprecated.
+(``CheckButtons`` now draws itself using `~.Axes.scatter`.)
+
+``OffsetBox.get_extent_offsets`` and ``OffsetBox.get_extent``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated; these methods are also deprecated on all subclasses of
+`.OffsetBox`.
+
+To get the offsetbox extents, instead of ``get_extent``, use
+`.OffsetBox.get_bbox`, which directly returns a `.Bbox` instance.
+
+To also get the child offsets, instead of ``get_extent_offsets``, separately
+call `~.OffsetBox.get_offset` on each children after triggering a draw.
+
+``legend.legendHandles``
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+... was undocumented and has been renamed to ``legend_handles``. Using ``legendHandles`` is deprecated.
+
+``ticklabels`` parameter of `.Axis.set_ticklabels` renamed to ``labels``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``offsetbox.bbox_artist``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is deprecated. This is just a wrapper to call `.patches.bbox_artist` if a
+flag is set in the file, so use that directly if you need the behavior.
+
+``Quiver.quiver_doc`` and ``Barbs.barbs_doc``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated. These are the doc-string and should not be accessible as
+a named class member.
+
+Deprecate unused parameter *x* to ``TextBox.begin_typing``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This parameter was unused in the method, but was a required argument.
+
+Deprecation of top-level cmap registration and access functions in ``mpl.cm``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+As part of a `multi-step process
+<https://github.com/matplotlib/matplotlib/issues/20853>`_ we are refactoring
+the global state for managing the registered colormaps.
+
+In Matplotlib 3.5 we added a `.ColormapRegistry` class and exposed an instance
+at the top level as ``matplotlib.colormaps``. The existing top level functions
+in `matplotlib.cm` (``get_cmap``, ``register_cmap``, ``unregister_cmap``) were
+changed to be aliases around the same instance. In Matplotlib 3.6 we have
+marked those top level functions as pending deprecation.
+
+In Matplotlib 3.7, the following functions have been marked for deprecation:
+
+- ``matplotlib.cm.get_cmap``; use ``matplotlib.colormaps[name]`` instead if you
+  have a `str`.
+
+  **Added 3.6.1** Use `matplotlib.cm.ColormapRegistry.get_cmap` if you
+  have a string, `None` or a `matplotlib.colors.Colormap` object that you want
+  to convert to a `matplotlib.colors.Colormap` instance.
+- ``matplotlib.cm.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead
+- ``matplotlib.cm.unregister_cmap``; use `matplotlib.colormaps.unregister
+  <.ColormapRegistry.unregister>` instead
+- ``matplotlib.pyplot.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead
+
+The `matplotlib.pyplot.get_cmap` function will stay available for backward
+compatibility.
+
+``BrokenBarHCollection`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+It was just a thin wrapper inheriting from `.PolyCollection`;
+`~.Axes.broken_barh` has now been changed to return a `.PolyCollection`
+instead.
+
+The ``BrokenBarHCollection.span_where`` helper is likewise deprecated; for the
+duration of the deprecation it has been moved to the parent `.PolyCollection`
+class.  Use `~.Axes.fill_between` as a replacement; see
+:doc:`/gallery/lines_bars_and_markers/span_regions` for an example.
+
+Passing inconsistent ``loc`` and ``nth_coord`` to axisartist helpers
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Trying to construct for example a "top y-axis" or a "left x-axis" is now
+deprecated.
+
+``passthru_pt``
+~~~~~~~~~~~~~~~
+
+This attribute of ``AxisArtistHelper``\s is deprecated.
+
+``axes3d.vvec``, ``axes3d.eye``, ``axes3d.sx``, and ``axes3d.sy``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated without replacement.
+
+``Line2D``
+~~~~~~~~~~
+
+When creating a Line2D or using `.Line2D.set_xdata` and `.Line2D.set_ydata`,
+passing x/y data as non sequence is deprecated.
diff --git a/doc/api/prev_api_changes/api_changes_3.7.0/development.rst b/doc/api/prev_api_changes/api_changes_3.7.0/development.rst
new file mode 100644
index 000000000000..c2ae35970524
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.7.0/development.rst
@@ -0,0 +1,49 @@
+Development changes
+-------------------
+
+
+Windows wheel runtime bundling
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Wheels built for Windows now bundle the MSVC runtime DLL ``msvcp140.dll``. This
+enables importing Matplotlib on systems that do not have the runtime installed.
+
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+For Matplotlib 3.7, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.6  | min in mpl3.7 |
++============+=================+===============+
+|   NumPy    |       1.19      |      1.20     |
++------------+-----------------+---------------+
+| pyparsing  |      2.2.1      |    2.3.1      |
++------------+-----------------+---------------+
+|     Qt     |                 |     5.10      |
++------------+-----------------+---------------+
+
+- There are no wheels or conda packages that support both Qt 5.9 (or older) and
+  Python 3.8 (or newer).
+
+This is consistent with our :ref:`min_deps_policy` and `NEP29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__
+
+
+New dependencies
+~~~~~~~~~~~~~~~~
+
+* `importlib-resources <https://pypi.org/project/importlib-resources/>`_
+  (>= 3.2.0; only required on Python < 3.10)
+
+Maximum line length increased to 88 characters
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The maximum line length for new contributions has been extended from 79 characters to
+88 characters.
+This change provides an extra 9 characters to allow code which is a single idea to fit
+on fewer lines (often a single line).
+The chosen length is the same as `black <https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html#line-length>`_.
diff --git a/doc/api/prev_api_changes/api_changes_3.7.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.7.0/removals.rst
new file mode 100644
index 000000000000..03239be31057
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.7.0/removals.rst
@@ -0,0 +1,369 @@
+Removals
+--------
+
+``epoch2num`` and ``num2epoch`` are removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+These methods convert from unix timestamps to matplotlib floats, but are not
+used internally to Matplotlib, and should not be needed by end users. To
+convert a unix timestamp to datetime, simply use
+`datetime.datetime.fromtimestamp`, or to use NumPy `~numpy.datetime64`
+``dt = np.datetime64(e*1e6, 'us')``.
+
+Locator and Formatter wrapper methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``set_view_interval``, ``set_data_interval`` and ``set_bounds`` methods of
+`.Locator`\s and `.Formatter`\s (and their common base class, TickHelper) are
+removed. Directly manipulate the view and data intervals on the underlying
+axis instead.
+
+Interactive cursor details
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Setting a mouse cursor on a window has been moved from the toolbar to the
+canvas. Consequently, several implementation details on toolbars and within
+backends have been removed.
+
+``NavigationToolbar2.set_cursor`` and ``backend_tools.SetCursorBase.set_cursor``
+................................................................................
+
+Instead, use the `.FigureCanvasBase.set_cursor` method on the canvas (available
+as the ``canvas`` attribute on the toolbar or the Figure.)
+
+``backend_tools.SetCursorBase`` and subclasses
+..............................................
+
+``backend_tools.SetCursorBase`` was subclassed to provide backend-specific
+implementations of ``set_cursor``. As that is now removed, the subclassing
+is no longer necessary. Consequently, the following subclasses are also
+removed:
+
+- ``matplotlib.backends.backend_gtk3.SetCursorGTK3``
+- ``matplotlib.backends.backend_qt5.SetCursorQt``
+- ``matplotlib.backends._backend_tk.SetCursorTk``
+- ``matplotlib.backends.backend_wx.SetCursorWx``
+
+Instead, use the `.backend_tools.ToolSetCursor` class.
+
+``cursord`` in GTK and wx backends
+..................................
+
+The ``backend_gtk3.cursord`` and ``backend_wx.cursord`` dictionaries are
+removed. This makes the GTK module importable on headless environments.
+
+``auto_add_to_figure=True`` for ``Axes3D``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is no longer supported. Instead use ``fig.add_axes(ax)``.
+
+The first parameter of ``Axes.grid`` and ``Axis.grid`` has been renamed to *visible*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The parameter was previously named *b*. This name change only matters if that
+parameter was passed using a keyword argument, e.g. ``grid(b=False)``.
+
+Removal of deprecations in the Selector widget API
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+RectangleSelector and EllipseSelector
+.....................................
+
+The *drawtype* keyword argument to `~matplotlib.widgets.RectangleSelector` is
+removed. From now on, the only behaviour will be ``drawtype='box'``.
+
+Support for ``drawtype=line`` is removed altogether. As a
+result, the *lineprops* keyword argument to
+`~matplotlib.widgets.RectangleSelector` is also removed.
+
+To retain the behaviour of ``drawtype='none'``, use ``rectprops={'visible':
+False}`` to make the drawn `~matplotlib.patches.Rectangle` invisible.
+
+Cleaned up attributes and arguments are:
+
+- The ``active_handle`` attribute has been privatized and removed.
+- The ``drawtype`` attribute has been privatized and removed.
+- The ``eventpress`` attribute has been privatized and removed.
+- The ``eventrelease`` attribute has been privatized and removed.
+- The ``interactive`` attribute has been privatized and removed.
+- The *marker_props* argument is removed, use *handle_props* instead.
+- The *maxdist* argument is removed, use *grab_range* instead.
+- The *rectprops* argument is removed, use *props* instead.
+- The ``rectprops`` attribute has been privatized and removed.
+- The ``state`` attribute has been privatized and removed.
+- The ``to_draw`` attribute has been privatized and removed.
+
+PolygonSelector
+...............
+
+- The *line* attribute is removed. If you want to change the selector artist
+  properties, use the ``set_props`` or ``set_handle_props`` methods.
+- The *lineprops* argument is removed, use *props* instead.
+- The *markerprops* argument is removed, use *handle_props* instead.
+- The *maxdist* argument and attribute is removed, use *grab_range* instead.
+- The *vertex_select_radius* argument and attribute is removed, use
+  *grab_range* instead.
+
+SpanSelector
+............
+
+- The ``active_handle`` attribute has been privatized and removed.
+- The ``eventpress`` attribute has been privatized and removed.
+- The ``eventrelease`` attribute has been privatized and removed.
+- The ``pressv`` attribute has been privatized and removed.
+- The ``prev`` attribute has been privatized and removed.
+- The ``rect`` attribute has been privatized and removed.
+- The *rectprops* parameter has been renamed to *props*.
+- The ``rectprops`` attribute has been privatized and removed.
+- The *span_stays* parameter has been renamed to *interactive*.
+- The ``span_stays`` attribute has been privatized and removed.
+- The ``state`` attribute has been privatized and removed.
+
+LassoSelector
+.............
+
+- The *lineprops* argument is removed, use *props* instead.
+- The ``onpress`` and ``onrelease`` methods are removed. They are straight
+  aliases for ``press`` and ``release``.
+- The ``matplotlib.widgets.TextBox.DIST_FROM_LEFT`` attribute has been
+  removed.  It was marked as private in 3.5.
+  
+``backend_template.show``
+~~~~~~~~~~~~~~~~~~~~~~~~~
+... has been removed, in order to better demonstrate the new backend definition
+API.
+
+Unused positional parameters to ``print_<fmt>`` methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+None of the ``print_<fmt>`` methods implemented by canvas subclasses used
+positional arguments other that the first (the output filename or file-like),
+so these extra parameters are removed.
+
+``QuadMesh`` signature
+~~~~~~~~~~~~~~~~~~~~~~
+
+The `.QuadMesh` signature ::
+
+    def __init__(meshWidth, meshHeight, coordinates,
+                 antialiased=True, shading='flat', **kwargs)
+
+is removed and replaced by the new signature ::
+
+    def __init__(coordinates, *, antialiased=True, shading='flat', **kwargs)
+
+In particular:
+
+- The *coordinates* argument must now be a (M, N, 2) array-like. Previously,
+  the grid shape was separately specified as (*meshHeight* + 1, *meshWidth* +
+  1) and *coordinates* could be an array-like of any shape with M * N * 2
+  elements.
+- All parameters except *coordinates* are keyword-only now.
+  
+Expiration of ``FancyBboxPatch`` deprecations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.FancyBboxPatch` constructor no longer accepts the *bbox_transmuter*
+parameter, nor can the *boxstyle* parameter be set to "custom" -- instead,
+directly set *boxstyle* to the relevant boxstyle instance.  The
+*mutation_scale* and *mutation_aspect* parameters have also become
+keyword-only.
+
+The *mutation_aspect* parameter is now handled internally and no longer passed
+to the boxstyle callables when mutating the patch path.
+
+Testing support
+~~~~~~~~~~~~~~~
+
+``matplotlib.test()`` has been removed
+......................................
+
+Run tests using ``pytest`` from the commandline instead. The variable
+``matplotlib.default_test_modules`` was only used for ``matplotlib.test()`` and
+is thus removed as well.
+
+To test an installed copy, be sure to specify both ``matplotlib`` and
+``mpl_toolkits`` with ``--pyargs``::
+
+    pytest --pyargs matplotlib.tests mpl_toolkits.tests
+
+See :ref:`testing` for more details.
+
+Auto-removal of grids by `~.Axes.pcolor` and `~.Axes.pcolormesh`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.Axes.pcolor` and `~.Axes.pcolormesh` previously remove any visible axes
+major grid. This behavior is removed; please explicitly call ``ax.grid(False)``
+to remove the grid.
+
+Modification of ``Axes`` children sublists
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+See :ref:`Behavioural API Changes 3.5 - Axes children combined` for more
+information; modification of the following sublists is no longer supported:
+
+* ``Axes.artists``
+* ``Axes.collections``
+* ``Axes.images``
+* ``Axes.lines``
+* ``Axes.patches``
+* ``Axes.tables``
+* ``Axes.texts``
+
+To remove an Artist, use its `.Artist.remove` method. To add an Artist, use the
+corresponding ``Axes.add_*`` method.
+
+Passing incorrect types to ``Axes.add_*`` methods
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following ``Axes.add_*`` methods will now raise if passed an unexpected
+type. See their documentation for the types they expect.
+
+- `.Axes.add_collection`
+- `.Axes.add_image`
+- `.Axes.add_line`
+- `.Axes.add_patch`
+- `.Axes.add_table`
+
+
+``ConversionInterface.convert`` no longer accepts unitless values
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, custom subclasses of `.units.ConversionInterface` needed to
+implement a ``convert`` method that not only accepted instances of the unit,
+but also unitless values (which are passed through as is). This is no longer
+the case (``convert`` is never called with a unitless value), and such support
+in ``.StrCategoryConverter`` is removed. Likewise, the
+``.ConversionInterface.is_numlike`` helper is removed.
+
+Consider calling `.Axis.convert_units` instead, which still supports unitless
+values.
+
+
+Normal list of `.Artist` objects now returned by `.HandlerLine2D.create_artists`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.5 and 3.6 a proxy list was returned that simulated the return
+of `.HandlerLine2DCompound.create_artists`. Now a list containing only the
+single artist is return.
+
+
+rcParams will no longer cast inputs to str
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+rcParams that expect a (non-pathlike) str no longer cast non-str inputs using
+`str`. This will avoid confusing errors in subsequent code if e.g. a list input
+gets implicitly cast to a str.
+
+Case-insensitive scales
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, scales could be set case-insensitively (e.g.,
+``set_xscale("LoG")``).  Now all builtin scales use lowercase names.
+
+Support for ``nx1 = None`` or ``ny1 = None`` in ``AxesLocator`` and ``Divider.locate``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In `.axes_grid1.axes_divider`, various internal APIs no longer supports
+passing ``nx1 = None`` or ``ny1 = None`` to mean ``nx + 1`` or ``ny + 1``, in
+preparation for a possible future API which allows indexing and slicing of
+dividers (possibly ``divider[a:b] == divider.new_locator(a, b)``, but also
+``divider[a:] == divider.new_locator(a, <end>)``). The user-facing
+`.Divider.new_locator` API is unaffected -- it correctly normalizes ``nx1 =
+None`` and ``ny1 = None`` as needed.
+
+
+change signature of ``.FigureCanvasBase.enter_notify_event``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *xy* parameter is now required and keyword only.  This was deprecated in
+3.0 and originally slated to be removed in 3.5.
+
+``Colorbar`` tick update parameters
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The *update_ticks* parameter of `.Colorbar.set_ticks` and
+`.Colorbar.set_ticklabels` was ignored since 3.5 and has been removed.
+
+plot directive removals
+~~~~~~~~~~~~~~~~~~~~~~~
+
+The public methods:
+
+- ``matplotlib.sphinxext.split_code_at_show``
+- ``matplotlib.sphinxext.unescape_doctest``
+- ``matplotlib.sphinxext.run_code``
+
+have been removed.
+
+The deprecated *encoding* option to the plot directive has been removed.
+
+Miscellaneous removals
+~~~~~~~~~~~~~~~~~~~~~~
+
+- ``is_url`` and ``URL_REGEX`` are removed. (They were previously defined in
+  the toplevel :mod:`matplotlib` module.)
+- The ``ArrowStyle.beginarrow`` and ``ArrowStyle.endarrow`` attributes are
+  removed; use the ``arrow`` attribute to define the desired heads and tails
+  of the arrow.
+- ``backend_pgf.LatexManager.str_cache`` is removed.
+- ``backends.qt_compat.ETS`` and ``backends.qt_compat.QT_RC_MAJOR_VERSION`` are
+  removed, with no replacement.
+- The ``blocking_input`` module is removed. Instead, use
+  ``canvas.start_event_loop()`` and ``canvas.stop_event_loop()`` while
+  connecting event callbacks as needed.
+- ``cbook.report_memory`` is removed; use ``psutil.virtual_memory`` instead.
+- ``cm.LUTSIZE`` is removed. Use :rc:`image.lut` instead. This value only
+  affects colormap quantization levels for default colormaps generated at
+  module import time.
+- ``Colorbar.patch`` is removed; this attribute was not correctly updated
+  anymore.
+- ``ContourLabeler.get_label_width`` is removed.
+- ``Dvi.baseline`` is removed (with no replacement).
+- The *format* parameter of ``dviread.find_tex_file`` is removed (with no
+  replacement).
+- ``FancyArrowPatch.get_path_in_displaycoord`` and
+  ``ConnectionPath.get_path_in_displaycoord`` are removed. The path in
+  display coordinates can still be obtained, as for other patches, using
+  ``patch.get_transform().transform_path(patch.get_path())``.
+- The ``font_manager.win32InstalledFonts`` and
+  ``font_manager.get_fontconfig_fonts`` helper functions are removed.
+- All parameters of ``imshow`` starting from *aspect* are keyword-only.
+- ``QuadMesh.convert_mesh_to_paths`` and ``QuadMesh.convert_mesh_to_triangles``
+  are removed. ``QuadMesh.get_paths()`` can be used as an alternative for the
+  former; there is no replacement for the latter.
+- ``ScalarMappable.callbacksSM`` is removed. Use
+  ``ScalarMappable.callbacks`` instead.
+- ``streamplot.get_integrator`` is removed.
+- ``style.core.STYLE_FILE_PATTERN``, ``style.core.load_base_library``, and
+  ``style.core.iter_user_libraries`` are removed.
+- ``SubplotParams.validate`` is removed. Use `.SubplotParams.update` to
+  change `.SubplotParams` while always keeping it in a valid state.
+- The ``grey_arrayd``, ``font_family``, ``font_families``, and ``font_info``
+  attributes of `.TexManager` are removed.
+- ``Text.get_prop_tup`` is removed with no replacements (because the `.Text`
+  class cannot know whether a backend needs to update cache e.g. when the
+  text's color changes).
+- ``Tick.apply_tickdir`` didn't actually update the tick markers on the
+  existing Line2D objects used to draw the ticks and is removed; use
+  `.Axis.set_tick_params` instead.
+- ``tight_layout.auto_adjust_subplotpars`` is removed.
+- The ``grid_info`` attribute of ``axisartist`` classes has been removed.
+- ``axes_grid1.axes_grid.CbarAxes`` and ``axisartist.axes_grid.CbarAxes`` are
+  removed (they are now dynamically generated based on the owning axes
+  class).
+- The ``axes_grid1.Divider.get_vsize_hsize`` and
+  ``axes_grid1.Grid.get_vsize_hsize`` methods are removed.
+- ``AxesDivider.append_axes(..., add_to_figure=False)`` is removed. Use
+  ``ax.remove()`` to remove the Axes from the figure if needed.
+- ``FixedAxisArtistHelper.change_tick_coord`` is removed with no
+  replacement.
+- ``floating_axes.GridHelperCurveLinear.get_boundary`` is removed with no
+  replacement.
+- ``ParasiteAxesBase.get_images_artists`` is removed.
+- The "units finalize" signal (previously emitted by Axis instances) is
+  removed. Connect to "units" instead.
+- Passing formatting parameters positionally to ``stem()`` is no longer
+  possible.
+- ``axisartist.clip_path`` is removed with no replacement.
+
diff --git a/doc/api/prev_api_changes/api_changes_3.8.0.rst b/doc/api/prev_api_changes/api_changes_3.8.0.rst
new file mode 100644
index 000000000000..ab1b65c19bab
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.8.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.8.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.8.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.8.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.8.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.8.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.8.0/behaviour.rst
new file mode 100644
index 000000000000..8a21d5b4941e
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.0/behaviour.rst
@@ -0,0 +1,192 @@
+Behaviour Changes
+-----------------
+
+Tk backend respects file format selection when saving figures
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When saving a figure from a Tkinter GUI to a filename without an
+extension, the file format is now selected based on the value of
+the dropdown menu, rather than defaulting to PNG. When the filename
+contains an extension, or the OS automatically appends one, the
+behavior remains unchanged.
+
+Placing of maximum and minimum minor ticks
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Calculation of minor tick locations has been corrected to make the maximum and
+minimum minor ticks more consistent.  In some cases this results in an extra
+minor tick on an Axis.
+
+``hexbin`` now defaults to ``rcParams["patch.linewidth"]``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The default value of the *linewidths* argument of `.Axes.hexbin` has
+been changed from ``1.0`` to :rc:`patch.linewidth`. This improves the
+consistency with `.QuadMesh` in `.Axes.pcolormesh` and `.Axes.hist2d`.
+
+TwoSlopeNorm now auto-expands to always have two slopes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+In the case where either ``vmin`` or ``vmax`` are not manually specified
+to `~.TwoSlopeNorm`, and where the data it is scaling is all less than or
+greater than the center point, the limits are now auto-expanded so there
+are two symmetrically sized slopes either side of the center point.
+
+Previously ``vmin`` and ``vmax`` were clipped at the center point, which
+caused issues when displaying color bars.
+
+This does not affect behaviour when ``vmin`` and ``vmax`` are manually
+specified by the user.
+
+Event objects emitted for ``axes_leave_event``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``axes_leave_event`` now emits a synthetic `.LocationEvent`, instead of reusing
+the last event object associated with a ``motion_notify_event``.
+
+Streamplot now draws streamlines as one piece if no width or no color variance
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Since there is no need to draw streamlines piece by piece if there is no color
+change or width change, now streamplot will draw each streamline in one piece.
+
+The behavior for varying width or varying color is not changed, same logic is
+used for these kinds of streamplots.
+
+``canvas`` argument now required for ``FigureFrameWx``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``FigureFrameWx`` now requires a keyword-only ``canvas`` argument
+when it is constructed.
+
+``ContourSet`` is now a single Collection
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Prior to this release, `.ContourSet` (the object returned by `~.Axes.contour`)
+was a custom object holding multiple `.Collection`\s (and not an `.Artist`)
+-- one collection per level, each connected component of that level's contour
+being an entry in the corresponding collection.
+
+`.ContourSet` is now instead a plain `.Collection` (and thus an `.Artist`).
+The collection contains a single path per contour level; this path may be
+non-continuous in case there are multiple connected components.
+
+Setting properties on the ContourSet can now usually be done using standard
+collection setters (``cset.set_linewidth(3)`` to use the same linewidth
+everywhere or ``cset.set_linewidth([1, 2, 3, ...])`` to set different
+linewidths on each level) instead of having to go through the individual
+sub-components (``cset.collections[0].set_linewidth(...)``).  Note that
+during the transition period, it remains possible to access the (deprecated)
+``.collections`` attribute; this causes the ContourSet to modify itself to use
+the old-style multi-Collection representation.
+
+``SubFigure`` default facecolor is now transparent
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Subfigures default facecolor changed to ``"none"``. Previously the default was
+the value of ``figure.facecolor``.
+
+Reject size related keyword arguments to MovieWriter *grab_frame* method
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Although we pass `.Figure.savefig` keyword arguments through the
+`.AbstractMovieWriter.grab_frame` some of the arguments will result in invalid
+output if passed.  To be successfully stitched into a movie, each frame
+must be exactly the same size, thus *bbox_inches* and *dpi* are excluded.
+Additionally, the movie writers are opinionated about the format of each
+frame, so the *format* argument is also excluded.  Passing these
+arguments will now raise `TypeError` for all writers (it already did so for some
+arguments and some writers).  The *bbox_inches* argument is already ignored (with
+a warning) if passed to `.Animation.save`.
+
+
+Additionally, if :rc:`savefig.bbox` is set to ``'tight'``,
+`.AbstractMovieWriter.grab_frame` will now error.  Previously this rcParam
+would be temporarily overridden (with a warning) in `.Animation.save`, it is
+now additionally overridden in `.AbstractMovieWriter.saving`.
+
+Changes of API after deprecation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- `.dviread.find_tex_file` now raises `FileNotFoundError` when the requested filename is
+  not found.
+- `.Figure.colorbar` now raises if *cax* is not given and it is unable to determine from
+  which Axes to steal space, i.e. if *ax* is also not given and *mappable* has not been
+  added to an Axes.
+- `.pyplot.subplot` and `.pyplot.subplot2grid` no longer auto-remove preexisting
+  overlapping Axes; explicitly call ``Axes.remove`` as needed.
+
+Invalid types for Annotation xycoords now raise TypeError
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, a `RuntimeError` would be raised in some cases.
+
+Default antialiasing behavior changes for ``Text`` and ``Annotation``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``matplotlib.pyplot.annotate()`` and ``matplotlib.pyplot.text()`` now support parameter *antialiased* when initializing.
+Examples:
+
+.. code-block:: python
+
+    mpl.text.Text(.5, .5, "foo\nbar", antialiased=True)
+    plt.text(0.5, 0.5, '6 inches x 2 inches', antialiased=True)
+    ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5), antialiased=False)
+
+See "What's New" for more details on usage.
+
+With this new feature, you may want to make sure that you are creating and saving/showing the figure under the same context::
+
+    # previously this was a no-op, now it is what works
+    with rccontext(text.antialiased=False):
+        fig, ax = plt.subplots()
+        ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5))
+        fig.savefig('/tmp/test.png')
+
+    # previously this had an effect, now this is a no-op
+    fig, ax = plt.subplots()
+    ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5))
+    with rccontext(text.antialiased=False):
+        fig.savefig('/tmp/test.png')
+
+Also note that antialiasing for tick labels will be set with :rc:`text.antialiased` when they are created (usually when a ``Figure`` is created) - This means antialiasing for them can no longer be changed by modifying :rc:`text.antialiased`.
+
+``ScalarMappable.to_rgba()`` now respects the mask of RGB(A) arrays
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Previously, the mask was ignored. Now the alpha channel is set to 0 if any
+component (R, G, B, or A) is masked.
+
+``Text.get_rotation_mode`` return value
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing ``None`` as ``rotation_mode`` to `.Text` (the default value) or passing it to
+`.Text.set_rotation_mode` will make `.Text.get_rotation_mode` return ``"default"``
+instead of ``None``. The behaviour otherwise is the same.
+
+PostScript paper size adds option to use figure size
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The :rc:`ps.papersize` rcParam can now be set to ``'figure'``, which will use
+a paper size that corresponds exactly with the size of the figure that is being
+saved.
+
+``hexbin`` *mincnt* parameter made consistently inclusive
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, *mincnt* was inclusive with no *C* provided but exclusive when *C* is provided.
+It is now inclusive of *mincnt* in both cases.
+
+
+``matplotlib.mpl_toolkits`` is now an implicit namespace package
+----------------------------------------------------------------
+
+Following the deprecation of ``pkg_resources.declare_namespace`` in ``setuptools`` 67.3.0,
+``matplotlib.mpl_toolkits`` is now implemented as an implicit namespace, following
+`PEP 420 <https://peps.python.org/pep-0420/>`_.
+
+As a consequence using ``pip`` to install a version of Matplotlib >= 3.8 on top
+of a version of Matplotlib < 3.8 (e.g. via ``pip install --local`` or
+``python -m venv --system-site-packages ...``) will fail because the old
+``matplotlib.mpl_toolkits`` files will be found whereas the newer files will be
+found for all other modules.  This will result in errors due to the version
+mismatch.
+
+To avoid this issue you need to avoid having multiple versions of Matplotlib
+in different entries of ``sys.path``.   Either uninstall Matplotlib
+at the system level or use a more isolated virtual environment.
diff --git a/doc/api/prev_api_changes/api_changes_3.8.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.8.0/deprecations.rst
new file mode 100644
index 000000000000..5398cec623b9
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.0/deprecations.rst
@@ -0,0 +1,300 @@
+Deprecations
+------------
+
+Calling ``paths.get_path_collection_extents`` with empty *offsets*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Calling  `~.get_path_collection_extents` with an empty *offsets* parameter
+has an ambiguous interpretation and is therefore deprecated. When the
+deprecation period expires, this will produce an error.
+
+
+``axes_grid1.axes_divider`` API changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``AxesLocator`` class is deprecated.  The ``new_locator`` method of divider
+instances now instead returns an opaque callable (which can still be passed to
+``ax.set_axes_locator``).
+
+``Divider.locate`` is deprecated; use ``Divider.new_locator(...)(ax, renderer)``
+instead.
+
+
+``bbox.anchored()`` with no explicit container
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Not passing a *container* argument to `.BboxBase.anchored` is now deprecated.
+
+
+Functions in ``mpl_toolkits.mplot3d.proj3d``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The function ``transform`` is just an alias for ``proj_transform``,
+use the latter instead.
+
+The following functions are either unused (so no longer required in Matplotlib)
+or considered private. If you rely on them, please make a copy of the code,
+including all functions that starts with a ``_`` (considered private).
+
+* ``ortho_transformation``
+* ``persp_transformation``
+* ``proj_points``
+* ``proj_trans_points``
+* ``rot_x``
+* ``rotation_about_vector``
+* ``view_transformation``
+
+
+Arguments other than ``renderer`` to ``get_tightbbox``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are keyword-only arguments. This is for consistency and that
+different classes have different additional arguments.
+
+
+The object returned by ``pcolor()`` has changed to a ``PolyQuadMesh`` class
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The old object was a `.PolyCollection` with flattened vertices and array data.
+The new `.PolyQuadMesh` class subclasses `.PolyCollection`, but adds in better
+2D coordinate and array handling in alignment with `.QuadMesh`. Previously, if
+a masked array was input, the list of polygons within the collection would shrink
+to the size of valid polygons and users were required to keep track of which
+polygons were drawn and call ``set_array()`` with the smaller "compressed" array size.
+Passing the "compressed" and flattened array values is now deprecated and the
+full 2D array of values (including the mask) should be passed
+to `.PolyQuadMesh.set_array`.
+
+
+``LocationEvent.lastevent``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated with no replacement.
+
+
+``allsegs``, ``allkinds``, ``tcolors`` and ``tlinewidths`` attributes of `.ContourSet`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated; if required, directly retrieve the vertices
+and codes of the Path objects from ``ContourSet.get_paths()`` and the colors
+and the linewidths via ``ContourSet.get_facecolor()``, ``ContourSet.get_edgecolor()``
+and ``ContourSet.get_linewidths()``.
+
+
+``ContourSet.collections``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.  `.ContourSet` is now implemented as a single `.Collection` of paths,
+each path corresponding to a contour level, possibly including multiple unconnected
+components.
+
+During the deprecation period, accessing ``ContourSet.collections`` will revert the
+current ContourSet instance to the old object layout, with a separate `.PathCollection`
+per contour level.
+
+
+``INVALID_NON_AFFINE``, ``INVALID_AFFINE``, ``INVALID`` attributes of ``TransformNode``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These attributes are deprecated.
+
+
+``Grouper.clean()``
+~~~~~~~~~~~~~~~~~~~
+
+with no replacement. The Grouper class now cleans itself up automatically.
+
+
+``GridHelperCurveLinear.get_data_boundary``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.  Use ``grid_finder.extreme_finder(*[None] * 5)`` to get the
+extremes of the grid.
+
+
+*np_load* parameter of ``cbook.get_sample_data``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This parameter is deprecated; `.get_sample_data` now auto-loads numpy arrays.
+Use ``get_sample_data(..., asfileobj=False)`` instead to get the filename of
+the data file, which can then be passed to `open`, if desired.
+
+
+``RendererAgg.tostring_rgb`` and ``FigureCanvasAgg.tostring_rgb``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated with no direct replacement. Consider using ``buffer_rgba``
+instead, which should cover most use cases.
+
+
+The parameter of ``Annotation.contains`` and ``Legend.contains`` is renamed to *mouseevent*
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... consistently with `.Artist.contains`.
+
+
+Accessing ``event.guiEvent`` after event handlers return
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated: for some GUI toolkits, it is unsafe to do so.  In the
+future, ``event.guiEvent`` will be set to None once the event handlers return;
+you may separately stash the object at your own risk.
+
+
+Widgets
+~~~~~~~
+
+The *visible* attribute getter of Selector widgets has been deprecated;
+use ``get_visible``
+
+
+Method parameters renamed to match base classes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The only parameter of ``transform_affine`` and ``transform_non_affine`` in ``Transform`` subclasses is renamed
+to *values*.
+
+The *points* parameter of ``transforms.IdentityTransform.transform`` is renamed to *values*.
+
+The *trans* parameter of ``table.Cell.set_transform`` is renamed to *t* consistently with
+`.Artist.set_transform`.
+
+The *clippath* parameters of ``axis.Axis.set_clip_path``  and ``axis.Tick.set_clip_path`` are
+renamed to *path* consistently with `.Artist.set_clip_path`.
+
+The *s* parameter of ``images.NonUniformImage.set_filternorm`` is renamed to *filternorm*
+consistently with ``_ImageBase.set_filternorm``.
+
+The *s* parameter of ``images.NonUniformImage.set_filterrad`` is renamed to *filterrad*
+consistently with ``_ImageBase.set_filterrad``.
+
+
+*numdecs* parameter and attribute of ``LogLocator``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated without replacement, because they have no effect.
+
+
+``NavigationToolbar2QT.message`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... with no replacement.
+
+
+``ft2font.FT2Image.draw_rect`` and ``ft2font.FT2Font.get_xys``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... are deprecated as they are unused. If you rely on these, please let us know.
+
+
+``backend_ps.psDefs``
+~~~~~~~~~~~~~~~~~~~~~
+
+The ``psDefs`` module-level variable in ``backend_ps`` is deprecated with no
+replacement.
+
+
+Callable axisartist Axes
+~~~~~~~~~~~~~~~~~~~~~~~~
+Calling an axisartist Axes to mean `~matplotlib.pyplot.axis` is deprecated; explicitly
+call the method instead.
+
+
+``AnchoredEllipse`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Instead, directly construct an `.AnchoredOffsetbox`, an `.AuxTransformBox`, and an
+`~.patches.Ellipse`, as demonstrated in :doc:`/gallery/misc/anchored_artists`.
+
+
+Automatic papersize selection in PostScript
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Setting :rc:`ps.papersize` to ``'auto'`` or passing ``papersize='auto'`` to
+`.Figure.savefig` is deprecated. Either pass an explicit paper type name, or
+omit this parameter to use the default from the rcParam.
+
+
+``Tick.set_label1`` and ``Tick.set_label2``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... are deprecated.  Calling these methods from third-party code usually has no
+effect, as the labels are overwritten at draw time by the tick formatter.
+
+
+Passing extra positional arguments to ``Figure.add_axes``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Positional arguments passed to `.Figure.add_axes` other than a rect or an
+existing ``Axes`` are currently ignored, and doing so is now deprecated.
+
+
+``CbarAxesBase.toggle_label``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.  Instead, use standard methods for manipulating colorbar
+labels (`.Colorbar.set_label`) and tick labels (`.Axes.tick_params`).
+
+
+``TexManager.texcache``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is considered private and deprecated. The location of the cache directory is
+clarified in the doc-string.
+
+
+Artists explicitly passed in will no longer be filtered by legend() based on their label
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Currently, artists explicitly passed to ``legend(handles=[...])`` are filtered
+out if their label starts with an underscore.  This behavior is deprecated;
+explicitly filter out such artists
+(``[art for art in artists if not art.get_label().startswith('_')]``) if
+necessary.
+
+
+``FigureCanvasBase.switch_backends``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated with no replacement.
+
+
+``cbook.Stack`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... with no replacement.
+
+
+``inset_location.InsetPosition`` is deprecated
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Use `~.Axes.inset_axes` instead.
+
+
+``axisartist.axes_grid`` and ``axisartist.axes_rgb``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+These modules, which provide wrappers combining the functionality of
+`.axes_grid1` and `.axisartist`, are deprecated; directly use e.g.
+``AxesGrid(..., axes_class=axislines.Axes)`` instead.
+
+
+``ContourSet.antialiased``
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated; use `~.Collection.get_antialiased` or
+`~.Collection.set_antialiased` instead.  Note that `~.Collection.get_antialiased`
+returns an array.
+
+
+Passing non-int or sequence of non-int to ``Table.auto_set_column_width``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Column numbers are ints, and formerly passing any other type was effectively
+ignored. This will become an error in the future.
+
+
+``PdfPages(keep_empty=True)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+A zero-page pdf is not valid, thus passing ``keep_empty=True`` to
+`.backend_pdf.PdfPages` and `.backend_pgf.PdfPages`, and the ``keep_empty``
+attribute of these classes, are deprecated.  Currently, these classes default
+to keeping empty outputs, but that behavior is deprecated too.  Explicitly
+passing ``keep_empty=False`` remains supported for now to help transition to
+the new behavior.
+
+Furthermore, `.backend_pdf.PdfPages` no longer immediately creates the target
+file upon instantiation, but only when the first figure is saved.  To fully
+control file creation, directly pass an opened file object as argument
+(``with open(path, "wb") as file, PdfPages(file) as pdf: ...``).
+
+
+Auto-closing of figures when switching backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... is deprecated.  Explicitly call ``plt.close("all")`` if necessary.  In the
+future, allowable backend switches (i.e. those that do not swap a GUI event
+loop with another one) will not close existing figures.
+
+
+Support for passing the "frac" key in ``annotate(..., arrowprops={"frac": ...})``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... has been removed.  This key has had no effect since Matplotlib 1.5.
diff --git a/doc/api/prev_api_changes/api_changes_3.8.0/development.rst b/doc/api/prev_api_changes/api_changes_3.8.0/development.rst
new file mode 100644
index 000000000000..2be0505f38ea
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.0/development.rst
@@ -0,0 +1,79 @@
+Development changes
+-------------------
+
+
+Increase to minimum supported versions of dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.8, the :ref:`minimum supported versions <dependencies>` are
+being bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.7  | min in mpl3.8 |
++============+=================+===============+
+|   Python   |       3.8       |      3.9      |
++------------+-----------------+---------------+
+| kiwisolver |       1.0.1     |      1.3.1    |
++------------+-----------------+---------------+
+|   NumPy    |       1.20.0    |      1.21.0   |
++------------+-----------------+---------------+
+|   Pillow   |       6.2.1     |      8.0      |
++------------+-----------------+---------------+
+
+This is consistent with our :ref:`min_deps_policy` and `NEP29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__
+
+
+Increase to minimum supported optional dependencies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For Matplotlib 3.8, the :ref:`minimum supported versions of optional dependencies
+<optional_dependencies>` are being bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.7  | min in mpl3.8 |
++============+=================+===============+
+|   Tk       |      8.4        |     8.5       |
++------------+-----------------+---------------+
+|   Qt       |      5.10       |     5.12      |
++------------+-----------------+---------------+
+
+- There are no wheels or conda packages that support both Qt 5.11 (or older) and
+  Python 3.9 (or newer).
+
+This is consistent with our :ref:`min_deps_policy`
+
+Provisional support for PEP484 Type Hint Annotations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+New public API should be type hinted in ``.pyi`` stub files (except ``pyplot`` and tests
+which are typed in-line).
+Tests should be type hinted minimally, essentially only when ``mypy`` generates errors.
+
+CI and configuration for running ``mypy`` have been added.
+
+Generation of ``pyplot.py`` requires ``black``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The autogenerated portions of ``pyplot.py`` use ``black`` autoformatting to ensure
+syntax-correct, readable output code.
+
+As such ``black`` is now a development and test requirement (for the test which
+regenerates ``pyplot``).
+
+Wheels for some systems are no longer distributed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Pre-compiled wheels for 32-bit Linux and Windows are no longer provided on PyPI
+since Matplotlib 3.8.
+
+Multi-architecture ``universal2`` wheels for macOS are no longer provided on PyPI since
+Matplotlib 3.8. In general, ``pip`` will always prefer the architecture-specific
+(``amd64``- or ``arm64``-only) wheels, so these provided little benefit.
+
+New wheel architectures
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Wheels have been added for:
+
+- musl based systems
diff --git a/doc/api/prev_api_changes/api_changes_3.8.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.8.0/removals.rst
new file mode 100644
index 000000000000..90e5fd882486
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.0/removals.rst
@@ -0,0 +1,287 @@
+Removals
+--------
+
+cbook removals
+~~~~~~~~~~~~~~
+
+- ``matplotlib.cbook.MatplotlibDeprecationWarning`` and
+  ``matplotlib.cbook.mplDeprecation`` are removed; use
+  `matplotlib.MatplotlibDeprecationWarning` instead.
+- ``cbook.maxdict``; use the standard library ``functools.lru_cache`` instead.
+
+Groupers from ``get_shared_x_axes`` / ``get_shared_y_axes`` are immutable
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Modifications to the Groupers returned by ``get_shared_x_axes`` and
+``get_shared_y_axes`` are no longer allowed. Note that previously, calling e.g.
+``join()`` would already fail to set up the correct structures for sharing
+axes; use `.Axes.sharex` or `.Axes.sharey` instead.
+
+Deprecated modules removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following deprecated modules are removed:
+
+* ``afm``
+* ``docstring``
+* ``fontconfig_pattern``
+* ``tight_bbox``
+* ``tight_layout``
+* ``type1font``
+
+Parameters to ``plt.figure()`` and the ``Figure`` constructor
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+All parameters to `.pyplot.figure` and the `.Figure` constructor, other than
+*num*, *figsize*, and *dpi*, are now keyword-only.
+
+``stem(..., use_line_collection=False)``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is no longer supported. This was a compatibility fallback to a
+former more inefficient representation of the stem lines.
+
+Positional / keyword arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Passing all but the very few first arguments positionally in the constructors
+of Artists is no longer possible. Most arguments are now keyword-only.
+
+The *emit* and *auto* parameters of ``set_xlim``, ``set_ylim``,
+``set_zlim``, ``set_rlim`` are now keyword-only.
+
+The *transOffset* parameter of `.Collection.set_offset_transform` and the
+various ``create_collection`` methods of legend handlers has been renamed to
+*offset_transform* (consistently with the property name).
+
+``Axes.get_window_extent`` / ``Figure.get_window_extent`` accept only
+*renderer*. This aligns the API with the general `.Artist.get_window_extent`
+API. All other parameters were ignored anyway.
+
+Methods to set parameters in ``LogLocator`` and ``LogFormatter*``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In `~.LogFormatter` and derived subclasses, the methods ``base`` and
+``label_minor`` for setting the respective parameter are removed and
+replaced by ``set_base`` and ``set_label_minor``, respectively.
+
+In `~.LogLocator`, the methods ``base`` and ``subs`` for setting the respective
+parameter are removed. Instead, use ``set_params(base=..., subs=...)``.
+
+``Axes.get_renderer_cache``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The canvas now takes care of the renderer and whether to cache it or not,
+so the ``Axes.get_renderer_cache`` method is removed. The
+alternative is to call ``axes.figure.canvas.get_renderer()``.
+
+Unused methods in ``Axis``, ``Tick``, ``XAxis``, and ``YAxis``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Tick.label`` is now removed. Use ``Tick.label1`` instead.
+
+The following methods are no longer used and removed without a replacement:
+
+- ``Axis.get_ticklabel_extents``
+- ``Tick.get_pad_pixels``
+- ``XAxis.get_text_heights``
+- ``YAxis.get_text_widths``
+
+``mlab.stride_windows``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is removed. Use ``numpy.lib.stride_tricks.sliding_window_view`` instead.
+
+``Axes3D``
+~~~~~~~~~~
+
+The ``dist`` attribute has been privatized. Use the *zoom* keyword argument in
+`.Axes3D.set_box_aspect` instead.
+
+The ``w_xaxis``, ``w_yaxis``, and ``w_zaxis`` attributes are now removed.
+Instead use ``xaxis``, ``yaxis``, and ``zaxis``.
+
+3D Axis
+~~~~~~~
+
+``mplot3d.axis3d.Axis.set_pane_pos`` is removed. This is an internal method
+where the provided values are overwritten during drawing. Hence, it does not
+serve any purpose to be directly accessible.
+
+The two helper functions ``mplot3d.axis3d.move_from_center`` and
+``mplot3d.axis3d.tick_update_position`` are considered internal and deprecated.
+If these are required, please vendor the code from the corresponding private
+methods ``_move_from_center`` and ``_tick_update_position``.
+
+``checkdep_usetex`` removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This method was only intended to disable tests in case no latex install was
+found. As such, it is considered to be private and for internal use only.
+
+Please vendor the code from a previous version if you need this.
+
+``date_ticker_factory`` removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``date_ticker_factory`` method in the `matplotlib.dates` module is
+removed. Instead use `~.AutoDateLocator` and `~.AutoDateFormatter` for a
+more flexible and scalable locator and formatter.
+
+If you need the exact ``date_ticker_factory`` behavior, please copy the code
+from a previous version.
+
+``transforms.Affine2D.identity()``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... is removed in favor of directly calling the `.Affine2D` constructor with
+no arguments.
+
+Removals in ``testing.decorators``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The unused class ``CleanupTestCase`` and decorator ``cleanup`` are removed.
+The function ``check_freetype_version`` is considered internal and removed.
+Vendor the code from a previous version.
+
+``text.get_rotation()``
+~~~~~~~~~~~~~~~~~~~~~~~
+
+... is removed with no replacement. Copy the previous implementation if
+needed.
+``Figure.callbacks`` is removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The Figure ``callbacks`` property has been removed. The only signal was
+"dpi_changed", which can be replaced by connecting to the "resize_event" on the
+canvas ``figure.canvas.mpl_connect("resize_event", func)`` instead.
+
+
+Passing too many positional arguments to ``tripcolor``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... raises ``TypeError`` (extra arguments were previously ignored).
+
+
+The *filled* argument to ``Colorbar`` is removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This behavior was already governed by the underlying ``ScalarMappable``.
+
+
+Widgets
+~~~~~~~
+
+The *visible* attribute setter of Selector widgets has been removed; use ``set_visible``
+The associated getter is also deprecated, but not yet expired.
+
+``Axes3D.set_frame_on`` and ``Axes3D.get_frame_on`` removed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``Axes3D.set_frame_on`` is documented as "Set whether the 3D axes panels are
+drawn.". However, it has no effect on 3D axes and is being removed in
+favor of ``Axes3D.set_axis_on`` and ``Axes3D.set_axis_off``.
+
+Miscellaneous internals
+~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``axes_grid1.axes_size.AddList``; use ``sum(sizes, start=Fixed(0))`` (for
+  example) to sum multiple size objects.
+- ``axes_size.Padded``; use ``size + pad`` instead
+- ``axes_size.SizeFromFunc``, ``axes_size.GetExtentHelper``
+- ``AxisArtistHelper.delta1`` and ``AxisArtistHelper.delta2``
+- ``axislines.GridHelperBase.new_gridlines`` and
+  ``axislines.Axes.new_gridlines``
+- ``_DummyAxis.dataLim`` and ``_DummyAxis.viewLim``; use
+  ``get_data_interval()``, ``set_data_interval()``, ``get_view_interval()``,
+  and ``set_view_interval()`` instead.
+- ``ImageMagickBase.delay`` and ``ImageMagickBase.output_args``
+- ``MathtextBackend``, ``MathtextBackendAgg``, ``MathtextBackendPath``,
+  ``MathTextWarning``
+- ``TexManager.get_font_config``; it previously returned an internal hashed key
+  for used for caching purposes.
+- ``TextToPath.get_texmanager``; directly construct a `.texmanager.TexManager`
+  instead.
+- ``ticker.is_close_to_int``; use ``math.isclose(x, round(x))`` instead.
+- ``ticker.is_decade``; use ``y = numpy.log(x)/numpy.log(base);
+  numpy.isclose(y, numpy.round(y))`` instead.
+
+
+Backend-specific removals
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``backend_pdf.Name.hexify``
+- ``backend_pdf.Operator`` and ``backend_pdf.Op.op`` are removed in favor of
+  a single standard `enum.Enum` interface on `.backend_pdf.Op`.
+- ``backend_pdf.fill``; vendor the code of the similarly named private
+  functions if you rely on these functions.
+- ``backend_pgf.LatexManager.texcommand`` and
+  ``backend_pgf.LatexManager.latex_header``
+- ``backend_pgf.NO_ESCAPE``
+- ``backend_pgf.common_texification``
+- ``backend_pgf.get_fontspec``
+- ``backend_pgf.get_preamble``
+- ``backend_pgf.re_mathsep``
+- ``backend_pgf.writeln``
+- ``backend_ps.convert_psfrags``
+- ``backend_ps.quote_ps_string``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_svg.escape_attrib``; vendor the code of the similarly named private
+  functions if you rely on it.
+- ``backend_svg.escape_cdata``; vendor the code of the similarly named private
+  functions if you rely on it.
+- ``backend_svg.escape_comment``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_svg.short_float_fmt``; vendor the code of the similarly named
+  private functions if you rely on it.
+- ``backend_svg.generate_transform`` and ``backend_svg.generate_css``
+
+Removal of deprecated APIs
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The following deprecated APIs have been removed.  Unless a replacement is stated, please
+vendor the previous implementation if needed.
+
+- The following methods of `.FigureCanvasBase`: ``pick`` (use ``Figure.pick`` instead),
+  ``resize``, ``draw_event``, ``resize_event``, ``close_event``, ``key_press_event``,
+  ``key_release_event``, ``pick_event``, ``scroll_event``, ``button_press_event``,
+  ``button_release_event``, ``motion_notify_event``, ``leave_notify_event``,
+  ``enter_notify_event`` (for all the ``foo_event`` methods, construct the relevant
+  `.Event` object and call ``canvas.callbacks.process(event.name, event)`` instead).
+- ``ToolBase.destroy`` (connect to ``tool_removed_event`` instead).
+- The *cleared* parameter to `.FigureCanvasAgg.get_renderer` (call ``renderer.clear()``
+  instead).
+- The following methods of `.RendererCairo`: ``set_ctx_from_surface`` and
+  ``set_width_height`` (use ``set_context`` instead, which automatically infers the
+  canvas size).
+- The ``window`` or ``win`` parameters and/or attributes of ``NavigationToolbar2Tk``,
+  ``NavigationToolbar2GTK3``, and ``NavigationToolbar2GTK4``, and the ``lastrect``
+  attribute of ``NavigationToolbar2Tk``
+- The ``error_msg_gtk`` function and the ``icon_filename`` and ``window_icon`` globals
+  in ``backend_gtk3``; the ``error_msg_wx`` function in ``backend_wx``.
+- ``FigureManagerGTK3Agg`` and ``FigureManagerGTK4Agg`` (use ``FigureManagerGTK3``
+  instead); ``RendererGTK3Cairo`` and ``RendererGTK4Cairo``.
+- ``NavigationToolbar2Mac.prepare_configure_subplots`` (use
+  `~.NavigationToolbar2.configure_subplots` instead).
+- ``FigureManagerMac.close``.
+- The ``qApp`` global in `.backend_qt` (use ``QtWidgets.QApplication.instance()``
+  instead).
+- The ``offset_text_height`` method of ``RendererWx``; the ``sizer``, ``figmgr``,
+  ``num``, ``toolbar``, ``toolmanager``, ``get_canvas``, and ``get_figure_manager``
+  attributes or methods of ``FigureFrameWx`` (use ``frame.GetSizer()``,
+  ``frame.canvas.manager``, ``frame.canvas.manager.num``, ``frame.GetToolBar()``,
+  ``frame.canvas.manager.toolmanager``, the *canvas_class* constructor parameter, and
+  ``frame.canvas.manager``, respectively, instead).
+- ``FigureFrameWxAgg`` and ``FigureFrameWxCairo`` (use
+  ``FigureFrameWx(..., canvas_class=FigureCanvasWxAgg)`` and
+  ``FigureFrameWx(..., canvas_class=FigureCanvasWxCairo)``, respectively, instead).
+- The ``filled`` attribute and the ``draw_all`` method of `.Colorbar` (instead of
+  ``draw_all``, use ``figure.draw_without_rendering``).
+- Calling `.MarkerStyle` without setting the *marker* parameter or setting it to None
+  (use ``MarkerStyle("")`` instead).
+- Support for third-party canvas classes without a ``required_interactive_framework``
+  attribute (this can only occur if the canvas class does not inherit from
+  `.FigureCanvasBase`).
+- The ``canvas`` and ``background`` attributes of `.MultiCursor`; the
+  ``state_modifier_keys`` attribute of selector widgets.
+- Passing *useblit*, *horizOn*, or *vertOn* positionally to `.MultiCursor`.
+- Support for the ``seaborn-<foo>`` styles; use ``seaborn-v0_8-<foo>`` instead, or
+  directly use the seaborn API.
diff --git a/doc/api/prev_api_changes/api_changes_3.8.1.rst b/doc/api/prev_api_changes/api_changes_3.8.1.rst
new file mode 100644
index 000000000000..9c40167ebdcc
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.8.1.rst
@@ -0,0 +1,33 @@
+API Changes for 3.8.1
+=====================
+
+Behaviour
+---------
+
+Default behaviour of ``hexbin`` with *C* provided requires at least 1 point
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The behaviour changed in 3.8.0 to be inclusive of *mincnt*. However, that resulted in
+errors or warnings with some reduction functions, so now the default is to require at
+least 1 point to call the reduction function. This effectively restores the default
+behaviour to match that of Matplotlib 3.7 and before.
+
+
+Deprecations
+------------
+
+Deprecations removed in ``contour``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+``contour.allsegs``, ``contour.allkinds``, and ``contour.find_nearest_contour`` are no
+longer marked for deprecation.
+
+
+Development
+-----------
+
+Minimum version of setuptools bumped to 64
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+To comply with requirements of ``setuptools_scm``, the minimum version of ``setuptools``
+has been increased from 42 to 64.
diff --git a/doc/api/prev_api_changes/api_changes_3.9.0.rst b/doc/api/prev_api_changes/api_changes_3.9.0.rst
new file mode 100644
index 000000000000..8bd2628c90dc
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.0.rst
@@ -0,0 +1,14 @@
+API Changes for 3.9.0
+=====================
+
+.. contents::
+   :local:
+   :depth: 1
+
+.. include:: /api/prev_api_changes/api_changes_3.9.0/behaviour.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.9.0/deprecations.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.9.0/removals.rst
+
+.. include:: /api/prev_api_changes/api_changes_3.9.0/development.rst
diff --git a/doc/api/prev_api_changes/api_changes_3.9.0/behaviour.rst b/doc/api/prev_api_changes/api_changes_3.9.0/behaviour.rst
new file mode 100644
index 000000000000..498dfb766922
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.0/behaviour.rst
@@ -0,0 +1,120 @@
+Behaviour Changes
+-----------------
+
+plot() shorthand format interprets "Cn" (n>9) as a color-cycle color
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously, ``plot(..., "-C11")`` would be interpreted as requesting a plot using
+linestyle "-", color "C1" (color #1 of the color cycle), and marker "1" ("tri-down").
+It is now interpreted as requesting linestyle "-" and color "C11" (color #11 of the
+color cycle).
+
+It is recommended to pass ambiguous markers (such as "1") explicitly using the *marker*
+keyword argument. If the shorthand form is desired, such markers can also be
+unambiguously set by putting them *before* the color string.
+
+Legend labels for ``plot``
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously if a sequence was passed to the *label* parameter of `~.Axes.plot` when
+plotting a single dataset, the sequence was automatically cast to string for the legend
+label. Now, if the sequence has only one element, that element will be the legend label.
+To keep the old behavior, cast the sequence to string before passing.
+
+Boxplots now ignore masked data points
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+`~matplotlib.axes.Axes.boxplot` and `~matplotlib.cbook.boxplot_stats` now ignore any
+masked points in the input data.
+
+``axhspan`` and ``axvspan`` now return ``Rectangle``\s, not ``Polygon``\s
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+This change allows using `~.Axes.axhspan` to draw an annulus on polar axes.
+
+This change also affects other elements built via `~.Axes.axhspan` and `~.Axes.axvspan`,
+such as ``Slider.poly``.
+
+Improved handling of pan/zoom events of overlapping Axes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The forwarding of pan/zoom events is now determined by the visibility of the
+background-patch (e.g. ``ax.patch.get_visible()``) and by the ``zorder`` of the axes.
+
+- Axes with a visible patch capture the event and do not pass it on to axes below. Only
+  the Axes with the highest ``zorder`` that contains the event is triggered (if there
+  are multiple Axes with the same ``zorder``, the last added Axes counts)
+- Axes with an invisible patch are also invisible to events and they are passed on to
+  the axes below.
+
+To override the default behavior and explicitly set whether an Axes should forward
+navigation events, use `.Axes.set_forward_navigation_events`.
+
+``loc='best'`` for ``legend`` now considers ``Text`` and ``PolyCollections``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The location selection ``legend`` now considers the existence of ``Text`` and
+``PolyCollections`` in the ``badness`` calculation.
+
+Note: The ``best`` option can already be quite slow for plots with large amounts of
+data. For ``PolyCollections``, it only considers the ``Path`` of ``PolyCollections`` and
+not the enclosed area when checking for overlap to reduce additional latency. However,
+it can still be quite slow when there are large amounts of ``PolyCollections`` in the
+plot to check for.
+
+Exception when not passing a Bbox to BboxTransform*-classes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The exception when not passing a Bbox to BboxTransform*-classes that expect one, e.g.,
+`~matplotlib.transforms.BboxTransform` has changed from ``ValueError`` to ``TypeError``.
+
+*loc* parameter of ``Cell`` no longer accepts ``None``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The default value of the *loc* parameter has been changed from ``None`` to ``right``,
+which already was the default location. The behavior of `.Cell` didn't change when
+called without an explicit *loc* parameter.
+
+``ContourLabeler.add_label`` now respects *use_clabeltext*
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... and sets `.Text.set_transform_rotates_text` accordingly.
+
+``Line2D``
+^^^^^^^^^^
+
+When creating a Line2D or using `.Line2D.set_xdata` and `.Line2D.set_ydata`,
+passing x/y data as non sequence is now an error.
+
+``ScalarMappable``\s auto-scale their norm when an array is set
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Collections previously deferred auto-scaling of the norm until draw time. This has been
+changed to scale the norm whenever the first array is set to align with the docstring
+and reduce unexpected behavior when accessing the norm before drawing.
+
+``SubplotParams`` moved from ``matplotlib.figure`` to ``matplotlib.gridspec``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+It is still importable from ``matplotlib.figure``, so does not require any changes to
+existing code.
+
+``PowerNorm`` no longer clips values below vmin
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+When ``clip=False`` is set (the default) on `~matplotlib.colors.PowerNorm`, values below
+``vmin`` are now linearly normalised. Previously they were clipped to zero. This fixes
+issues with the display of colorbars associated with a power norm.
+
+Image path semantics of toolmanager-based tools
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously, MEP22 ("toolmanager-based") Tools would try to load their icon
+(``tool.image``) relative to the current working directory, or, as a fallback, from
+Matplotlib's own image directory. Because both approaches are problematic for
+third-party tools (the end-user may change the current working directory at any time,
+and third-parties cannot add new icons in Matplotlib's image directory), this behavior
+is deprecated; instead, ``tool.image`` is now interpreted relative to the directory
+containing the source file where the ``Tool.image`` class attribute is defined.
+(Defining ``tool.image`` as an absolute path also works and is compatible with both the
+old and the new semantics.)
diff --git a/doc/api/prev_api_changes/api_changes_3.9.0/deprecations.rst b/doc/api/prev_api_changes/api_changes_3.9.0/deprecations.rst
new file mode 100644
index 000000000000..2cf1df8c9579
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.0/deprecations.rst
@@ -0,0 +1,93 @@
+Deprecations
+------------
+
+``plot_date``
+^^^^^^^^^^^^^
+
+Use of ``plot_date`` has been discouraged since Matplotlib 3.5 and the function is
+now formally deprecated.
+
+- ``datetime``-like data should directly be plotted using `~.Axes.plot`.
+- If you need to plot plain numeric data as :ref:`date-format` or need to set a
+  timezone, call ``ax.xaxis.axis_date`` / ``ax.yaxis.axis_date`` before `~.Axes.plot`.
+  See `.Axis.axis_date`.
+
+Legend labels for ``plot``
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously if a sequence was passed to the *label* parameter of `~.Axes.plot` when
+plotting a single dataset, the sequence was automatically cast to string for the legend
+label. This behavior is now deprecated and in future will error if the sequence length
+is not one (consistent with multi-dataset behavior, where the number of elements must
+match the number of datasets). To keep the old behavior, cast the sequence to string
+before passing.
+
+``boxplot`` tick labels
+^^^^^^^^^^^^^^^^^^^^^^^
+
+The parameter *labels* has been renamed to *tick_labels* for clarity and consistency
+with `~.Axes.bar`.
+
+Mixing positional and keyword arguments for ``legend`` handles and labels
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+This previously only raised a warning, but is now formally deprecated. If passing
+*handles* and *labels*, they must be passed either both positionally or both as keyword.
+
+Applying theta transforms in ``PolarTransform``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Applying theta transforms in `~matplotlib.projections.polar.PolarTransform` and
+`~matplotlib.projections.polar.InvertedPolarTransform` is deprecated, and will be
+removed in a future version of Matplotlib. This is currently the default behaviour when
+these transforms are used externally, but only takes affect when:
+
+- An axis is associated with the transform.
+- The axis has a non-zero theta offset or has theta values increasing in a clockwise
+  direction.
+
+To silence this warning and adopt future behaviour, set
+``apply_theta_transforms=False``. If you need to retain the behaviour where theta values
+are transformed, chain the ``PolarTransform`` with a `~matplotlib.transforms.Affine2D`
+transform that performs the theta shift and/or sign shift.
+
+*interval* parameter of ``TimerBase.start``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Setting the timer *interval* while starting it is deprecated. The interval can be
+specified instead in the timer constructor, or by setting the ``timer.interval``
+attribute.
+
+*nth_coord* parameter to axisartist helpers for fixed axis
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Helper APIs in `.axisartist` for generating a "fixed" axis on rectilinear axes
+(`.FixedAxisArtistHelperRectilinear`) no longer take a *nth_coord* parameter, as that
+parameter is entirely inferred from the (required) *loc* parameter and having
+inconsistent *nth_coord* and *loc* is an error.
+
+For curvilinear axes, the *nth_coord* parameter remains supported (it affects the
+*ticks*, not the axis position itself), but that parameter will become keyword-only, for
+consistency with the rectilinear case.
+
+``rcsetup.interactive_bk``, ``rcsetup.non_interactive_bk`` and ``rcsetup.all_backends``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... are deprecated and replaced by ``matplotlib.backends.backend_registry.list_builtin``
+with the following arguments
+
+- ``matplotlib.backends.BackendFilter.INTERACTIVE``
+- ``matplotlib.backends.BackendFilter.NON_INTERACTIVE``
+- ``None``
+
+respectively.
+
+Miscellaneous deprecations
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+- ``backend_ps.get_bbox_header`` is considered an internal helper
+- ``BboxTransformToMaxOnly``; if you rely on this, please make a copy of the code
+- ``ContourLabeler.add_label_clabeltext``
+- ``TransformNode.is_bbox``; instead check the object using ``isinstance(...,
+  BboxBase)``
+- ``GridHelperCurveLinear.get_tick_iterator``
diff --git a/doc/api/prev_api_changes/api_changes_3.9.0/development.rst b/doc/api/prev_api_changes/api_changes_3.9.0/development.rst
new file mode 100644
index 000000000000..c16e8e98ecc4
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.0/development.rst
@@ -0,0 +1,84 @@
+Development changes
+-------------------
+
+Build system ported to Meson
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The build system of Matplotlib has been ported from setuptools to `meson-python
+<https://meson-python.readthedocs.io>`_ and `Meson <https://mesonbuild.com>`_.
+Consequently, there have been a few changes for development and packaging purposes.
+
+1. Installation by ``pip`` of packages with ``pyproject.toml`` use `build isolation
+   <https://pip.pypa.io/en/stable/reference/build-system/pyproject-toml/#build-isolation>`_
+   by default, which interferes with editable installation. Thus for developers using
+   editable installs, it is now necessary to pass the ``--no-build-isolation`` flag to
+   ``pip install``. This means that all build-time requirements must be available in the
+   environment for an editable install.
+2. Build configuration has moved from a custom :file:`mplsetup.cfg` (also configurable
+   via ``MPLSETUP`` environment variable) to Meson options. These may be specified using
+   `meson-python's build config settings
+   <https://meson-python.readthedocs.io/en/stable/how-to-guides/config-settings.html>`_
+   for ``setup-args``. See :file:`meson_options.txt` for all options. For example, a
+   :file:`mplsetup.cfg` containing the following::
+
+      [rc_options]
+      backend=Agg
+
+      [libs]
+      system_qhull = True
+
+   may be replaced by passing the following arguments to ``pip``::
+
+      --config-settings=setup-args="-DrcParams-backend=Agg"
+      --config-settings=setup-args="-Dsystem-qhull=true"
+
+   Note that you must use ``pip`` >= 23.1 in order to pass more than one setting.
+3. Relatedly, Meson's `builtin options <https://mesonbuild.com/Builtin-options.html>`_
+   are now used instead of custom options, e.g., the LTO option is now ``b_lto``.
+4. On Windows, Meson activates a Visual Studio environment automatically. However, it
+   will not do so if another compiler is available. See `Meson's documentation
+   <https://mesonbuild.com/Builtin-options.html#details-for-vsenv>`_ if you wish to
+   change the priority of chosen compilers.
+5. Installation of test data was previously controlled by :file:`mplsetup.cfg`, but has
+   now been moved to Meson's install tags. To install test data, add the ``tests`` tag
+   to the requested install (be sure to include the existing tags as below)::
+
+      --config-settings=install-args="--tags=data,python-runtime,runtime,tests"
+6. Checking typing stubs with ``stubtest`` does not work easily with editable install.
+   For the time being, we suggest using a normal (non-editable) install if you wish to
+   run ``stubtest``.
+
+Increase to minimum supported versions of dependencies
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+For Matplotlib 3.9, the :ref:`minimum supported versions <dependencies>` are being
+bumped:
+
++------------+-----------------+---------------+
+| Dependency |  min in mpl3.8  | min in mpl3.9 |
++============+=================+===============+
+|   NumPy    |       1.21.0    |      1.23.0   |
++------------+-----------------+---------------+
+| setuptools |       42        |      64       |
++------------+-----------------+---------------+
+
+This is consistent with our :ref:`min_deps_policy` and `SPEC 0
+<https://scientific-python.org/specs/spec-0000/>`__.
+
+To comply with requirements of ``setuptools_scm``, the minimum version of ``setuptools``
+has been increased from 42 to 64.
+
+Extensions require C++17
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+Matplotlib now requires a compiler that supports C++17 in order to build its extensions.
+According to `SciPy's analysis
+<https://docs.scipy.org/doc/scipy/dev/toolchain.html#c-language-standards>`_, this
+should be available on all supported platforms.
+
+Windows on ARM64 support
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+Windows on ARM64 now bundles FreeType 2.6.1 instead of 2.11.1 when building from source.
+This may cause small changes to text rendering, but should become consistent with all
+other platforms.
diff --git a/doc/api/prev_api_changes/api_changes_3.9.0/removals.rst b/doc/api/prev_api_changes/api_changes_3.9.0/removals.rst
new file mode 100644
index 000000000000..791c04149981
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.0/removals.rst
@@ -0,0 +1,159 @@
+Removals
+--------
+
+Top-level cmap registration and access functions in ``mpl.cm``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+As part of the `multi-step refactoring of colormap registration
+<https://github.com/matplotlib/matplotlib/issues/20853>`_, the following functions have
+been removed:
+
+- ``matplotlib.cm.get_cmap``; use ``matplotlib.colormaps[name]`` instead if you have a
+  `str`.
+
+  Use `matplotlib.cm.ColormapRegistry.get_cmap` if you have a `str`, `None` or a
+  `matplotlib.colors.Colormap` object that you want to convert to a `.Colormap` object.
+- ``matplotlib.cm.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead.
+- ``matplotlib.cm.unregister_cmap``; use `matplotlib.colormaps.unregister
+  <.ColormapRegistry.unregister>` instead.
+- ``matplotlib.pyplot.register_cmap``; use `matplotlib.colormaps.register
+  <.ColormapRegistry.register>` instead.
+
+The `matplotlib.pyplot.get_cmap` function will stay available for backward
+compatibility.
+
+Contour labels
+^^^^^^^^^^^^^^
+
+``contour.ClabelText`` and ``ContourLabeler.set_label_props`` are removed. Use
+``Text(..., transform_rotates_text=True)`` as a replacement for
+``contour.ClabelText(...)`` and ``text.set(text=text, color=color,
+fontproperties=labeler.labelFontProps, clip_box=labeler.axes.bbox)`` as a replacement
+for the ``ContourLabeler.set_label_props(label, text, color)``.
+
+The ``labelFontProps``, ``labelFontSizeList``, and ``labelTextsList`` attributes of
+`.ContourLabeler` have been removed.  Use the ``labelTexts`` attribute and the font
+properties of the corresponding text objects instead.
+
+``num2julian``, ``julian2num`` and ``JULIAN_OFFSET``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... of the `.dates` module are removed without replacements. These were undocumented and
+not exported.
+
+Julian dates in Matplotlib were calculated from a Julian date epoch: ``jdate = (date -
+np.datetime64(EPOCH)) / np.timedelta64(1, 'D')``.  Conversely, a Julian date was
+converted to datetime as ``date = np.timedelta64(int(jdate * 24 * 3600), 's') +
+np.datetime64(EPOCH)``. Matplotlib was using ``EPOCH='-4713-11-24T12:00'`` so that
+2000-01-01 at 12:00 is 2_451_545.0 (see https://en.wikipedia.org/wiki/Julian_day).
+
+``offsetbox`` methods
+^^^^^^^^^^^^^^^^^^^^^
+
+``offsetbox.bbox_artist`` is removed. This was just a wrapper to call
+`.patches.bbox_artist` if a flag is set in the file, so use that directly if you need
+the behavior.
+
+``OffsetBox.get_extent_offsets`` and ``OffsetBox.get_extent`` are removed; these methods
+are also removed on all subclasses of `.OffsetBox`. To get the offsetbox extents,
+instead of ``get_extent``, use `.OffsetBox.get_bbox`, which directly returns a `.Bbox`
+instance. To also get the child offsets, instead of ``get_extent_offsets``, separately
+call `~.OffsetBox.get_offset` on each children after triggering a draw.
+
+``parse_fontconfig_pattern`` raises on unknown constant names
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Previously, in a fontconfig pattern like ``DejaVu Sans:foo``, the unknown ``foo``
+constant name would be silently ignored.  This now raises an error.
+
+``tri`` submodules
+^^^^^^^^^^^^^^^^^^
+
+The ``matplotlib.tri.*`` submodules are removed.  All functionality is available in
+``matplotlib.tri`` directly and should be imported from there.
+
+Widget API
+^^^^^^^^^^
+
+- ``CheckButtons.rectangles`` and ``CheckButtons.lines`` are removed; `.CheckButtons`
+  now draws itself using `~.Axes.scatter`.
+- ``RadioButtons.circles`` is removed; `.RadioButtons` now draws itself using
+  `~.Axes.scatter`.
+- ``MultiCursor.needclear`` is removed with no replacement.
+- The unused parameter *x* to ``TextBox.begin_typing`` was a required argument, and is
+  now removed.
+
+Most arguments to widgets have been made keyword-only
+"""""""""""""""""""""""""""""""""""""""""""""""""""""
+
+Passing all but the very few first arguments positionally in the constructors of Widgets
+is now keyword-only. In general, all optional arguments are keyword-only.
+
+``Axes3D`` API
+^^^^^^^^^^^^^^
+
+- ``Axes3D.unit_cube``, ``Axes3D.tunit_cube``, and ``Axes3D.tunit_edges`` are removed
+  without replacement.
+- ``axes3d.vvec``, ``axes3d.eye``, ``axes3d.sx``, and ``axes3d.sy`` are removed without
+  replacement.
+
+Inconsistent *nth_coord* and *loc* passed to ``_FixedAxisArtistHelperBase``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The value of the *nth_coord* parameter of ``_FixedAxisArtistHelperBase`` and its
+subclasses is now inferred from the value of *loc*; passing inconsistent values (e.g.,
+requesting a "top y axis" or a "left x axis") has no more effect.
+
+Passing undefined *label_mode* to ``Grid``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... is no longer allowed. This includes `mpl_toolkits.axes_grid1.axes_grid.Grid`,
+`mpl_toolkits.axes_grid1.axes_grid.AxesGrid`, and
+`mpl_toolkits.axes_grid1.axes_grid.ImageGrid` as well as the corresponding classes
+imported from ``mpl_toolkits.axisartist.axes_grid``.
+
+Pass ``label_mode='keep'`` instead to get the previous behavior of not modifying labels.
+
+``draw_gouraud_triangle``
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+... is removed. Use `~.RendererBase.draw_gouraud_triangles` instead.
+
+A ``draw_gouraud_triangle`` call in a custom `~matplotlib.artist.Artist` can readily be
+replaced as::
+
+    self.draw_gouraud_triangles(gc, points.reshape((1, 3, 2)),
+                                colors.reshape((1, 3, 4)), trans)
+
+A `~.RendererBase.draw_gouraud_triangles` method can be implemented from an
+existing ``draw_gouraud_triangle`` method as::
+
+    transform = transform.frozen()
+    for tri, col in zip(triangles_array, colors_array):
+        self.draw_gouraud_triangle(gc, tri, col, transform)
+
+Miscellaneous removals
+^^^^^^^^^^^^^^^^^^^^^^
+
+The following items have previously been replaced, and are now removed:
+
+- *ticklabels* parameter of ``matplotlib.axis.Axis.set_ticklabels`` has been renamed to
+  *labels*.
+- ``Barbs.barbs_doc`` and ``Quiver.quiver_doc`` are removed. These are the doc-strings
+  and should not be accessible as a named class member, but as normal doc-strings would.
+- ``collections.PolyCollection.span_where`` and ``collections.BrokenBarHCollection``;
+  use ``fill_between`` instead.
+- ``Legend.legendHandles`` was undocumented and has been renamed to ``legend_handles``.
+
+The following items have been removed without replacements:
+
+- The attributes ``repeat`` of `.TimedAnimation` and subclasses and ``save_count`` of
+  `.FuncAnimation` are considered private and removed.
+- ``matplotlib.backend.backend_agg.BufferRegion.to_string``
+- ``matplotlib.backend.backend_agg.BufferRegion.to_string_argb``
+- ``matplotlib.backends.backend_ps.PsBackendHelper``
+- ``matplotlib.backends.backend_webagg.ServerThread``
+- *raw* parameter of `.GridSpecBase.get_grid_positions`
+- ``matplotlib.patches.ConnectionStyle._Base.SimpleEvent``
+- ``passthru_pt`` attribute of ``mpl_toolkits.axisartist.AxisArtistHelper``
diff --git a/doc/api/prev_api_changes/api_changes_3.9.1.rst b/doc/api/prev_api_changes/api_changes_3.9.1.rst
new file mode 100644
index 000000000000..4a9a1fc6669c
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.1.rst
@@ -0,0 +1,13 @@
+API Changes for 3.9.1
+=====================
+
+Development
+-----------
+
+Documentation-specific custom Sphinx roles are now semi-public
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+For third-party packages that derive types from Matplotlib, our use of custom roles may
+prevent Sphinx from building their docs. These custom Sphinx roles are now public solely
+for the purposes of use within projects that derive from Matplotlib types. See
+:mod:`matplotlib.sphinxext.roles` for details.
diff --git a/doc/api/prev_api_changes/api_changes_3.9.2.rst b/doc/api/prev_api_changes/api_changes_3.9.2.rst
new file mode 100644
index 000000000000..4c2a69634502
--- /dev/null
+++ b/doc/api/prev_api_changes/api_changes_3.9.2.rst
@@ -0,0 +1,16 @@
+API Changes for 3.9.2
+=====================
+
+Development
+-----------
+
+Windows wheel runtime bundling made static
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In 3.7.0, the MSVC runtime DLL was bundled in wheels to enable importing Matplotlib on
+systems that do not have it installed. However, this could cause inconsistencies with
+other wheels that did the same, and trigger random crashes depending on import order. See
+`this issue <https://github.com/matplotlib/matplotlib/issues/28551>`_ for further
+details.
+
+Since 3.9.2, wheels now bundle the MSVC runtime DLL statically to avoid such issues.
diff --git a/doc/api/projections/geo.rst b/doc/api/projections/geo.rst
new file mode 100644
index 000000000000..beaa7ec343f3
--- /dev/null
+++ b/doc/api/projections/geo.rst
@@ -0,0 +1,7 @@
+******************************
+``matplotlib.projections.geo``
+******************************
+
+.. automodule:: matplotlib.projections.geo
+   :members:
+   :show-inheritance:
diff --git a/doc/api/projections/polar.rst b/doc/api/projections/polar.rst
new file mode 100644
index 000000000000..3491fd92d16e
--- /dev/null
+++ b/doc/api/projections/polar.rst
@@ -0,0 +1,7 @@
+********************************
+``matplotlib.projections.polar``
+********************************
+
+.. automodule:: matplotlib.projections.polar
+   :members:
+   :show-inheritance:
diff --git a/doc/api/projections_api.rst b/doc/api/projections_api.rst
new file mode 100644
index 000000000000..f0c742c241e7
--- /dev/null
+++ b/doc/api/projections_api.rst
@@ -0,0 +1,18 @@
+**************************
+``matplotlib.projections``
+**************************
+
+.. automodule:: matplotlib.projections
+   :members:
+   :show-inheritance:
+
+Built-in projections
+====================
+Matplotlib has built-in support for polar and some geographic projections.
+See the following pages for more information:
+
+.. toctree::
+   :maxdepth: 1
+
+   projections/polar
+   projections/geo
diff --git a/doc/api/pylab.rst b/doc/api/pylab.rst
new file mode 100644
index 000000000000..184d0b578c71
--- /dev/null
+++ b/doc/api/pylab.rst
@@ -0,0 +1,6 @@
+*********
+``pylab``
+*********
+
+.. automodule:: pylab
+   :no-members:
diff --git a/doc/api/pyplot_api.rst b/doc/api/pyplot_api.rst
deleted file mode 100644
index 94e3baac26f0..000000000000
--- a/doc/api/pyplot_api.rst
+++ /dev/null
@@ -1,13 +0,0 @@
-******
-pyplot
-******
-
-
-:mod:`matplotlib.pyplot`
-========================
-
-.. automodule:: matplotlib.pyplot
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :exclude-members: plotting, colormaps
diff --git a/doc/api/pyplot_summary.rst b/doc/api/pyplot_summary.rst
index 7236fa864ccc..c4a860fd2590 100644
--- a/doc/api/pyplot_summary.rst
+++ b/doc/api/pyplot_summary.rst
@@ -1,8 +1,339 @@
-Plotting commands summary
-=========================
+*********************
+``matplotlib.pyplot``
+*********************
 
 .. currentmodule:: matplotlib.pyplot
 
-.. autofunction:: plotting
+.. automodule:: matplotlib.pyplot
+   :no-members:
+   :no-undoc-members:
 
-.. autofunction:: colormaps
+
+Managing Figure and Axes
+------------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   axes
+   cla
+   clf
+   close
+   delaxes
+   fignum_exists
+   figure
+   gca
+   gcf
+   get_figlabels
+   get_fignums
+   sca
+   subplot
+   subplot2grid
+   subplot_mosaic
+   subplots
+   twinx
+   twiny
+
+
+Adding data to the plot
+-----------------------
+
+Basic
+^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   plot
+   errorbar
+   scatter
+   step
+   loglog
+   semilogx
+   semilogy
+   fill_between
+   fill_betweenx
+   bar
+   barh
+   bar_label
+   grouped_bar
+   stem
+   eventplot
+   pie
+   stackplot
+   broken_barh
+   vlines
+   hlines
+   fill
+   polar
+
+
+Spans
+^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   axhline
+   axhspan
+   axvline
+   axvspan
+   axline
+
+
+Spectral
+^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   acorr
+   angle_spectrum
+   cohere
+   csd
+   magnitude_spectrum
+   phase_spectrum
+   psd
+   specgram
+   xcorr
+
+
+Statistics
+^^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   ecdf
+   boxplot
+   violinplot
+
+
+Binned
+^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   hexbin
+   hist
+   hist2d
+   stairs
+
+
+Contours
+^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   clabel
+   contour
+   contourf
+
+
+2D arrays
+^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   imshow
+   matshow
+   pcolor
+   pcolormesh
+   spy
+   figimage
+
+
+Unstructured triangles
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   triplot
+   tripcolor
+   tricontour
+   tricontourf
+
+
+Text and annotations
+^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   annotate
+   text
+   figtext
+   table
+   arrow
+   figlegend
+   legend
+
+
+Vector fields
+^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   barbs
+   quiver
+   quiverkey
+   streamplot
+
+
+Axis configuration
+------------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   autoscale
+   axis
+   box
+   grid
+   locator_params
+   minorticks_off
+   minorticks_on
+   rgrids
+   thetagrids
+   tick_params
+   ticklabel_format
+   xlabel
+   xlim
+   xscale
+   xticks
+   ylabel
+   ylim
+   yscale
+   yticks
+   suptitle
+   title
+
+
+Layout
+------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   margins
+   subplots_adjust
+   subplot_tool
+   tight_layout
+
+
+Colormapping
+------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   clim
+   colorbar
+   gci
+   sci
+   get_cmap
+   set_cmap
+   imread
+   imsave
+
+Colormaps are available via the colormap registry `matplotlib.colormaps`. For
+convenience this registry is available in ``pyplot`` as
+
+.. autodata:: colormaps
+   :no-value:
+
+Additionally, there are shortcut functions to set builtin colormaps; e.g.
+``plt.viridis()`` is equivalent to ``plt.set_cmap('viridis')``.
+
+
+.. autodata:: color_sequences
+   :no-value:
+
+
+Configuration
+-------------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   rc
+   rc_context
+   rcdefaults
+
+
+Output
+------
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   draw
+   draw_if_interactive
+   ioff
+   ion
+   install_repl_displayhook
+   isinteractive
+   pause
+   savefig
+   show
+   switch_backend
+   uninstall_repl_displayhook
+
+
+Other
+-----
+
+.. autosummary::
+   :toctree: _as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   connect
+   disconnect
+   findobj
+   get
+   getp
+   get_current_fig_manager
+   ginput
+   new_figure_manager
+   set_loglevel
+   setp
+   waitforbuttonpress
+   xkcd
diff --git a/doc/api/quiver_api.rst b/doc/api/quiver_api.rst
new file mode 100644
index 000000000000..8dbcce61beb5
--- /dev/null
+++ b/doc/api/quiver_api.rst
@@ -0,0 +1,20 @@
+*********************
+``matplotlib.quiver``
+*********************
+
+.. currentmodule:: matplotlib.quiver
+
+.. automodule:: matplotlib.quiver
+   :no-members:
+   :no-inherited-members:
+
+Classes
+-------
+
+.. autosummary::
+   :toctree: _as_gen/
+   :template: autosummary.rst
+
+   Quiver
+   QuiverKey
+   Barbs
diff --git a/doc/api/rcsetup_api.rst b/doc/api/rcsetup_api.rst
new file mode 100644
index 000000000000..7c5d109e2a78
--- /dev/null
+++ b/doc/api/rcsetup_api.rst
@@ -0,0 +1,8 @@
+**********************
+``matplotlib.rcsetup``
+**********************
+
+.. automodule:: matplotlib.rcsetup
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/sankey_api.rst b/doc/api/sankey_api.rst
index 51bdb15fa5f4..86223e7417c2 100644
--- a/doc/api/sankey_api.rst
+++ b/doc/api/sankey_api.rst
@@ -1,10 +1,6 @@
-******
-sankey
-******
-
-
-:mod:`matplotlib.sankey`
-========================
+*********************
+``matplotlib.sankey``
+*********************
 
 .. automodule:: matplotlib.sankey
    :members:
diff --git a/doc/api/scale_api.rst b/doc/api/scale_api.rst
new file mode 100644
index 000000000000..623fbdd0392f
--- /dev/null
+++ b/doc/api/scale_api.rst
@@ -0,0 +1,9 @@
+********************
+``matplotlib.scale``
+********************
+
+.. automodule:: matplotlib.scale
+   :members:
+   :undoc-members:
+   :show-inheritance:
+   :member-order: bysource
diff --git a/doc/api/sphinxext_figmpl_directive_api.rst b/doc/api/sphinxext_figmpl_directive_api.rst
new file mode 100644
index 000000000000..9323fd31134a
--- /dev/null
+++ b/doc/api/sphinxext_figmpl_directive_api.rst
@@ -0,0 +1,6 @@
+=========================================
+``matplotlib.sphinxext.figmpl_directive``
+=========================================
+
+.. automodule:: matplotlib.sphinxext.figmpl_directive
+   :no-undoc-members:
diff --git a/doc/api/sphinxext_mathmpl_api.rst b/doc/api/sphinxext_mathmpl_api.rst
new file mode 100644
index 000000000000..839334ca39fe
--- /dev/null
+++ b/doc/api/sphinxext_mathmpl_api.rst
@@ -0,0 +1,7 @@
+================================
+``matplotlib.sphinxext.mathmpl``
+================================
+
+.. automodule:: matplotlib.sphinxext.mathmpl
+   :exclude-members: latex_math
+   :no-undoc-members:
diff --git a/doc/api/sphinxext_plot_directive_api.rst b/doc/api/sphinxext_plot_directive_api.rst
new file mode 100644
index 000000000000..a3b75c09bdd8
--- /dev/null
+++ b/doc/api/sphinxext_plot_directive_api.rst
@@ -0,0 +1,6 @@
+=======================================
+``matplotlib.sphinxext.plot_directive``
+=======================================
+
+.. automodule:: matplotlib.sphinxext.plot_directive
+   :no-undoc-members:
diff --git a/doc/api/sphinxext_roles.rst b/doc/api/sphinxext_roles.rst
new file mode 100644
index 000000000000..99959ff05d14
--- /dev/null
+++ b/doc/api/sphinxext_roles.rst
@@ -0,0 +1,7 @@
+==============================
+``matplotlib.sphinxext.roles``
+==============================
+
+.. automodule:: matplotlib.sphinxext.roles
+   :no-undoc-members:
+   :private-members: _rcparam_role, _mpltype_role
diff --git a/doc/api/spines_api.rst b/doc/api/spines_api.rst
index aeab960c0776..f119ef4e80f4 100644
--- a/doc/api/spines_api.rst
+++ b/doc/api/spines_api.rst
@@ -1,10 +1,6 @@
-******
-spines
-******
-
-
-:mod:`matplotlib.spines`
-========================
+*********************
+``matplotlib.spines``
+*********************
 
 .. automodule:: matplotlib.spines
    :members:
diff --git a/doc/api/style_api.rst b/doc/api/style_api.rst
new file mode 100644
index 000000000000..0900bf46cc75
--- /dev/null
+++ b/doc/api/style_api.rst
@@ -0,0 +1,33 @@
+********************
+``matplotlib.style``
+********************
+
+Styles are predefined sets of `.rcParams` that define the visual appearance of
+a plot.
+
+:ref:`customizing` describes the mechanism and usage
+of styles.
+
+The :doc:`/gallery/style_sheets/style_sheets_reference` gives an overview of
+the builtin styles.
+
+.. automodule:: matplotlib.style
+   :members:
+   :undoc-members:
+   :show-inheritance:
+   :imported-members:
+
+.. imported variables have to be specified explicitly due to
+   https://github.com/sphinx-doc/sphinx/issues/6607
+
+.. data:: library
+
+   A dict mapping from style name to `.rcParams` defining that style.
+
+   This is meant to be read-only. Use `.reload_library` to update.
+
+.. data:: available
+
+   List of the names of the available styles.
+
+   This is meant to be read-only. Use `.reload_library` to update.
diff --git a/doc/api/table_api.rst b/doc/api/table_api.rst
new file mode 100644
index 000000000000..ee44af0949f7
--- /dev/null
+++ b/doc/api/table_api.rst
@@ -0,0 +1,8 @@
+********************
+``matplotlib.table``
+********************
+
+.. automodule:: matplotlib.table
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/testing_api.rst b/doc/api/testing_api.rst
new file mode 100644
index 000000000000..ae81d2f89ca7
--- /dev/null
+++ b/doc/api/testing_api.rst
@@ -0,0 +1,47 @@
+**********************
+``matplotlib.testing``
+**********************
+
+
+:mod:`matplotlib.testing`
+=========================
+
+.. automodule:: matplotlib.testing
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+:mod:`matplotlib.testing.compare`
+=================================
+
+.. automodule:: matplotlib.testing.compare
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+:mod:`matplotlib.testing.decorators`
+====================================
+
+.. automodule:: matplotlib.testing.decorators
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+:mod:`matplotlib.testing.exceptions`
+====================================
+
+.. automodule:: matplotlib.testing.exceptions
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+
+Testing with optional dependencies
+==================================
+For more information on fixtures, see :external+pytest:ref:`pytest fixtures <about-fixtures>`.
+
+.. autofunction:: matplotlib.testing.conftest.pd
+.. autofunction:: matplotlib.testing.conftest.xr
diff --git a/doc/api/texmanager_api.rst b/doc/api/texmanager_api.rst
new file mode 100644
index 000000000000..0dc52d2bc27c
--- /dev/null
+++ b/doc/api/texmanager_api.rst
@@ -0,0 +1,8 @@
+*************************
+``matplotlib.texmanager``
+*************************
+
+.. automodule:: matplotlib.texmanager
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/doc/api/text_api.rst b/doc/api/text_api.rst
index 19ec2f8d833c..af37e5c526a3 100644
--- a/doc/api/text_api.rst
+++ b/doc/api/text_api.rst
@@ -1,12 +1,33 @@
-****
-text
-****
+*******************
+``matplotlib.text``
+*******************
 
-
-:mod:`matplotlib.text`
-=======================
+.. redirect-from:: /api/textpath_api
 
 .. automodule:: matplotlib.text
+   :no-members:
+
+.. autoclass:: matplotlib.text.Text
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. autoclass:: matplotlib.text.Annotation
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. autoclass:: matplotlib.text.OffsetFrom
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. autoclass:: matplotlib.text.TextPath
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. autoclass:: matplotlib.text.TextToPath
    :members:
    :undoc-members:
    :show-inheritance:
diff --git a/doc/api/ticker_api.rst b/doc/api/ticker_api.rst
index 12214161c330..652050dafedc 100644
--- a/doc/api/ticker_api.rst
+++ b/doc/api/ticker_api.rst
@@ -1,12 +1,12 @@
-******
-ticker
-******
-
-
-:mod:`matplotlib.ticker`
-==========================
+*********************
+``matplotlib.ticker``
+*********************
 
 .. automodule:: matplotlib.ticker
    :members:
    :undoc-members:
    :show-inheritance:
+
+
+.. inheritance-diagram:: matplotlib.ticker
+   :parts: 1
diff --git a/doc/api/tight_layout_api.rst b/doc/api/tight_layout_api.rst
deleted file mode 100644
index 11cdaa9b71da..000000000000
--- a/doc/api/tight_layout_api.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-************
-tight_layout
-************
-
-
-:mod:`matplotlib.tight_layout`
-==============================
-
-.. automodule:: matplotlib.tight_layout
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/doc/api/toolkits/axes_grid1.rst b/doc/api/toolkits/axes_grid1.rst
new file mode 100644
index 000000000000..c48a6a31af90
--- /dev/null
+++ b/doc/api/toolkits/axes_grid1.rst
@@ -0,0 +1,42 @@
+.. module:: mpl_toolkits.axes_grid1
+
+.. redirect-from:: /api/toolkits/axes_grid
+
+``mpl_toolkits.axes_grid1``
+===========================
+
+:mod:`mpl_toolkits.axes_grid1` provides a framework of helper classes to adjust
+the positioning of multiple fixed-aspect Axes (e.g., displaying images).  It
+can be contrasted with the ``aspect`` property of Matplotlib Axes, which
+adjusts the position of a single Axes.
+
+See :ref:`axes_grid1_users-guide-index` for a guide on the usage of axes_grid1.
+
+.. figure:: ../../gallery/axes_grid1/images/sphx_glr_demo_axes_grid_001.png
+   :target: ../../gallery/axes_grid1/demo_axes_grid.html
+   :align: center
+   :scale: 50
+
+.. note::
+
+   This module contains classes and function that were formerly part of the
+   ``mpl_toolkits.axes_grid`` module that was removed in 3.6. Additional
+   classes from that older module may also be found in
+   `mpl_toolkits.axisartist`.
+
+.. currentmodule:: mpl_toolkits
+
+**The submodules of the axes_grid1 API are:**
+
+.. autosummary::
+   :toctree: ../_as_gen
+   :template: automodule.rst
+
+   axes_grid1.anchored_artists
+   axes_grid1.axes_divider
+   axes_grid1.axes_grid
+   axes_grid1.axes_rgb
+   axes_grid1.axes_size
+   axes_grid1.inset_locator
+   axes_grid1.mpl_axes
+   axes_grid1.parasite_axes
diff --git a/doc/api/toolkits/axisartist.rst b/doc/api/toolkits/axisartist.rst
new file mode 100644
index 000000000000..2dec9cafa01d
--- /dev/null
+++ b/doc/api/toolkits/axisartist.rst
@@ -0,0 +1,43 @@
+.. module:: mpl_toolkits.axisartist
+
+``mpl_toolkits.axisartist``
+===========================
+
+The *axisartist* namespace provides a derived Axes implementation
+(:class:`~mpl_toolkits.axisartist.axislines.Axes`), designed to support curvilinear
+grids.  The biggest difference is that the artists that are responsible for
+drawing axis lines, ticks, ticklabels, and axis labels are separated out from
+Matplotlib's Axis class.
+
+You can find a tutorial describing usage of axisartist at the
+:ref:`axisartist_users-guide-index` user guide.
+
+.. figure:: ../../gallery/axisartist/images/sphx_glr_demo_curvelinear_grid_001.png
+   :target: ../../gallery/axisartist/demo_curvelinear_grid.html
+   :align: center
+   :scale: 50
+
+.. note::
+
+   This module contains classes and function that were formerly part of the
+   ``mpl_toolkits.axes_grid`` module that was removed in 3.6. Additional
+   classes from that older module may also be found in
+   `mpl_toolkits.axes_grid1`.
+
+.. currentmodule:: mpl_toolkits
+
+**The submodules of the axisartist API are:**
+
+.. autosummary::
+   :toctree: ../_as_gen
+   :template: automodule.rst
+
+   axisartist.angle_helper
+   axisartist.axes_divider
+   axisartist.axis_artist
+   axisartist.axisline_style
+   axisartist.axislines
+   axisartist.floating_axes
+   axisartist.grid_finder
+   axisartist.grid_helper_curvelinear
+   axisartist.parasite_axes
diff --git a/doc/api/toolkits/mplot3d.rst b/doc/api/toolkits/mplot3d.rst
new file mode 100644
index 000000000000..4810bb742bd2
--- /dev/null
+++ b/doc/api/toolkits/mplot3d.rst
@@ -0,0 +1,123 @@
+.. _toolkit_mplot3d-index:
+.. currentmodule:: mpl_toolkits.mplot3d
+
+************************
+``mpl_toolkits.mplot3d``
+************************
+
+The mplot3d toolkit adds simple 3D plotting capabilities (scatter, surface,
+line, mesh, etc.) to Matplotlib by supplying an Axes object that can create
+a 2D projection of a 3D scene.  The resulting graph will have the same look
+and feel as regular 2D plots.  Not the fastest or most feature complete 3D
+library out there, but it ships with Matplotlib and thus may be a lighter
+weight solution for some use cases.
+
+See the :ref:`mplot3d tutorial <mplot3d>` for
+more information.
+
+.. image:: /_static/demo_mplot3d.png
+   :align: center
+
+The interactive backends also provide the ability to rotate and zoom the 3D
+scene.  One can rotate the 3D scene by simply clicking-and-dragging the scene.
+Panning is done by clicking the middle mouse button, and zooming is done by
+right-clicking the scene and dragging the mouse up and down. Unlike 2D plots,
+the toolbar pan and zoom buttons are not used.
+
+.. toctree::
+   :maxdepth: 2
+
+   mplot3d/faq.rst
+   mplot3d/view_angles.rst
+   mplot3d/axes3d.rst
+
+.. note::
+   `.pyplot` cannot be used to add content to 3D plots, because its function
+   signatures are strictly 2D and cannot handle the additional information
+   needed for 3D. Instead, use the explicit API by calling the respective
+   methods on the `.Axes3D` object.
+
+.. automodule:: mpl_toolkits.mplot3d
+   :no-members:
+   :no-undoc-members:
+
+.. module:: mpl_toolkits.mplot3d.axes3d
+.. currentmodule:: mpl_toolkits.mplot3d
+
+:mod:`~mpl_toolkits.mplot3d.axes3d`
+===================================
+
+.. note::
+   3D plotting in Matplotlib is still not as mature as the 2D case.
+   Please report any functions that do not behave as expected as a bug.
+   In addition, help and patches would be greatly appreciated!
+
+
+`axes3d.Axes3D` (fig[, rect, elev, azim, roll, ...])    3D Axes object.
+
+
+.. module:: mpl_toolkits.mplot3d.axis3d
+.. currentmodule:: mpl_toolkits.mplot3d
+
+:mod:`~mpl_toolkits.mplot3d.axis3d`
+===================================
+
+.. note::
+   See :attr:`!mpl_toolkits.mplot3d.axis3d._axinfo` for a dictionary containing
+   constants that may be modified for controlling the look and feel
+   of mplot3d axes (e.g., label spacing, font colors and panel colors).
+   Historically, axis3d has suffered from having hard-coded constants
+   that precluded user adjustments, and this dictionary was implemented
+   in version 1.1 as a stop-gap measure.
+
+
+.. autosummary::
+   :toctree: ../_as_gen
+   :template: autosummary.rst
+
+   axis3d.Axis
+
+
+.. module:: mpl_toolkits.mplot3d.art3d
+.. currentmodule:: mpl_toolkits.mplot3d
+
+:mod:`~mpl_toolkits.mplot3d.art3d`
+==================================
+
+.. autosummary::
+   :toctree: ../_as_gen
+   :template: autosummary.rst
+
+   art3d.Line3D
+   art3d.Line3DCollection
+   art3d.Patch3D
+   art3d.Patch3DCollection
+   art3d.Path3DCollection
+   art3d.PathPatch3D
+   art3d.Poly3DCollection
+   art3d.Text3D
+   art3d.get_dir_vector
+   art3d.juggle_axes
+   art3d.line_2d_to_3d
+   art3d.line_collection_2d_to_3d
+   art3d.patch_2d_to_3d
+   art3d.patch_collection_2d_to_3d
+   art3d.pathpatch_2d_to_3d
+   art3d.poly_collection_2d_to_3d
+   art3d.rotate_axes
+   art3d.text_2d_to_3d
+
+.. module:: mpl_toolkits.mplot3d.proj3d
+.. currentmodule:: mpl_toolkits.mplot3d
+
+:mod:`~mpl_toolkits.mplot3d.proj3d`
+===================================
+
+.. autosummary::
+   :toctree: ../_as_gen
+   :template: autosummary.rst
+
+   proj3d.inv_transform
+   proj3d.proj_transform
+   proj3d.proj_transform_clip
+   proj3d.world_transformation
diff --git a/doc/api/toolkits/mplot3d/axes3d.rst b/doc/api/toolkits/mplot3d/axes3d.rst
new file mode 100644
index 000000000000..612b3dd82a4b
--- /dev/null
+++ b/doc/api/toolkits/mplot3d/axes3d.rst
@@ -0,0 +1,317 @@
+mpl\_toolkits.mplot3d.axes3d.Axes3D
+===================================
+
+
+.. currentmodule:: mpl_toolkits.mplot3d.axes3d
+
+
+.. autoclass:: Axes3D
+   :no-members:
+   :no-undoc-members:
+   :show-inheritance:
+
+
+.. currentmodule:: mpl_toolkits.mplot3d.axes3d.Axes3D
+
+
+Plotting
+--------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   plot
+   scatter
+   bar
+   bar3d
+
+   plot_surface
+   plot_wireframe
+   plot_trisurf
+   fill_between
+
+   clabel
+   contour
+   tricontour
+   contourf
+   tricontourf
+
+   quiver
+   voxels
+   errorbar
+   stem
+
+
+Text and annotations
+--------------------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   text
+   text2D
+
+
+Clearing
+--------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   clear
+
+
+Appearance
+----------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   set_axis_off
+   set_axis_on
+   grid
+
+
+Axis
+----
+
+Axis limits and direction
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   get_zaxis
+   get_xlim
+   set_xlim
+   get_ylim
+   set_ylim
+   get_zlim
+   set_zlim
+   get_w_lims
+   get_xinverted
+   set_xinverted
+   invert_xaxis
+   xaxis_inverted
+   get_yinverted
+   set_yinverted
+   invert_yaxis
+   yaxis_inverted
+   get_zinverted
+   set_zinverted
+   invert_zaxis
+   zaxis_inverted
+   get_xbound
+   set_xbound
+   get_ybound
+   set_ybound
+   get_zbound
+   set_zbound
+
+
+Axis labels and title
+^^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   set_zlabel
+   get_zlabel
+   set_title
+
+
+Axis scales
+^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   set_xscale
+   set_yscale
+   set_zscale
+   get_zscale
+
+
+Autoscaling and margins
+^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   get_zmargin
+   set_zmargin
+   margins
+   autoscale
+   autoscale_view
+   set_autoscalez_on
+   get_autoscalez_on
+   auto_scale_xyz
+
+
+Aspect ratio
+^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   set_aspect
+   set_box_aspect
+   apply_aspect
+
+
+Ticks
+^^^^^
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   tick_params
+   set_zticks
+   get_zticks
+   set_zticklabels
+   get_zticklines
+   get_zgridlines
+   get_zminorticklabels
+   get_zmajorticklabels
+   zaxis_date
+
+
+Units
+-----
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   convert_zunits
+
+
+Adding artists
+--------------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   add_collection3d
+
+
+Sharing
+-------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   sharez
+   shareview
+
+
+Interactive
+-----------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   can_zoom
+   can_pan
+   disable_mouse_rotation
+   mouse_init
+   drag_pan
+   format_zdata
+   format_coord
+
+
+Projection and perspective
+--------------------------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   view_init
+   set_proj_type
+   get_proj
+   set_top_view
+
+
+Drawing
+-------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   draw
+   get_tightbbox
+
+
+Aliases and deprecated methods
+------------------------------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+    set_zlim3d
+    stem3D
+    text3D
+
+
+Other
+-----
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   get_axis_position
+   add_contour_set
+   add_contourf_set
+   update_datalim
+
+
+.. currentmodule:: mpl_toolkits.mplot3d
+
+Sample 3D data
+--------------
+
+.. autosummary::
+   :toctree: ../../_as_gen
+   :template: autosummary.rst
+   :nosignatures:
+
+   axes3d.get_test_data
+
+
+.. minigallery:: mpl_toolkits.mplot3d.axes3d.Axes3D
+   :add-heading:
diff --git a/doc/api/toolkits/mplot3d/faq.rst b/doc/api/toolkits/mplot3d/faq.rst
new file mode 100644
index 000000000000..e9ba804648e0
--- /dev/null
+++ b/doc/api/toolkits/mplot3d/faq.rst
@@ -0,0 +1,51 @@
+.. _toolkit_mplot3d-faq:
+
+***********
+mplot3d FAQ
+***********
+
+How is mplot3d different from Mayavi?
+=====================================
+`Mayavi <https://docs.enthought.com/mayavi/mayavi/>`_
+is a very powerful and featureful 3D graphing library. For advanced
+3D scenes and excellent rendering capabilities, it is highly recommended to
+use Mayavi.
+
+mplot3d was intended to allow users to create simple 3D graphs with the same
+"look-and-feel" as matplotlib's 2D plots. Furthermore, users can use the same
+toolkit that they are already familiar with to generate both their 2D and 3D
+plots.
+
+
+My 3D plot doesn't look right at certain viewing angles
+=======================================================
+This is probably the most commonly reported issue with mplot3d. The problem
+is that -- from some viewing angles -- a 3D object would appear in front
+of another object, even though it is physically behind it. This can result in
+plots that do not look "physically correct."
+
+Unfortunately, while some work is being done to reduce the occurrence of this
+artifact, it is currently an intractable problem, and cannot be fully solved
+until matplotlib supports 3D graphics rendering at its core.
+
+The problem occurs due to the reduction of 3D data down to 2D + z-order
+scalar. A single value represents the 3rd dimension for all parts of 3D
+objects in a collection. Therefore, when the bounding boxes of two collections
+intersect, it becomes possible for this artifact to occur. Furthermore, the
+intersection of two 3D objects (such as polygons or patches) cannot be
+rendered properly in matplotlib's 2D rendering engine.
+
+This problem will likely not be solved until OpenGL support is added to all of
+the backends (patches are greatly welcomed). Until then, if you need complex
+3D scenes, we recommend using
+`MayaVi <https://docs.enthought.com/mayavi/mayavi/>`_.
+
+
+I don't like how the 3D plot is laid out, how do I change that?
+===============================================================
+Historically, mplot3d has suffered from a hard-coding of parameters used
+to control visuals such as label spacing, tick length, and grid line width.
+Work is being done to eliminate this issue. For matplotlib v1.1.0, there is
+a semi-official manner to modify these parameters. See the note in the
+:mod:`.mplot3d.axis3d` section of the mplot3d API documentation for
+more information.
diff --git a/doc/api/toolkits/mplot3d/view_angles.rst b/doc/api/toolkits/mplot3d/view_angles.rst
new file mode 100644
index 000000000000..75b24ba9c7b0
--- /dev/null
+++ b/doc/api/toolkits/mplot3d/view_angles.rst
@@ -0,0 +1,205 @@
+.. _toolkit_mplot3d-view-angles:
+
+*******************
+mplot3d View Angles
+*******************
+
+How to define the view angle
+============================
+
+The position of the viewport "camera" in a 3D plot is defined by three angles:
+*elevation*, *azimuth*, and *roll*. From the resulting position, it always
+points towards the center of the plot box volume. The angle direction is a
+common convention, and is shared with
+`PyVista <https://docs.pyvista.org/api/core/camera.html>`_ and
+`MATLAB <https://www.mathworks.com/help/matlab/ref/view.html>`_.
+Note that a positive roll angle rotates the
+viewing plane clockwise, so the 3d axes will appear to rotate
+counter-clockwise.
+
+.. image:: /_static/mplot3d_view_angles.png
+   :align: center
+   :scale: 50
+
+Rotating the plot using the mouse will control azimuth, elevation,
+as well as roll, and all three angles can be set programmatically::
+
+    import matplotlib.pyplot as plt
+    ax = plt.figure().add_subplot(projection='3d')
+    ax.view_init(elev=30, azim=45, roll=15)
+
+
+Primary view planes
+===================
+
+To look directly at the primary view planes, the required elevation, azimuth,
+and roll angles are shown in the diagram of an "unfolded" plot below. These are
+further documented in the `.mplot3d.axes3d.Axes3D.view_init` API.
+
+.. plot:: gallery/mplot3d/view_planes_3d.py
+   :align: center
+
+
+.. _toolkit_mouse-rotation:
+
+Rotation with mouse
+===================
+
+3D plots can be reoriented by dragging the mouse.
+There are various ways to accomplish this; the style of mouse rotation
+can be specified by setting :rc:`axes3d.mouserotationstyle`, see
+:doc:`/users/explain/customizing`.
+
+Prior to v3.10, the 2D mouse position corresponded directly
+to azimuth and elevation; this is also how it is done
+in `MATLAB <https://www.mathworks.com/help/matlab/ref/view.html>`_.
+To keep it this way, set ``mouserotationstyle: azel``.
+This approach works fine for spherical coordinate plots, where the *z* axis is special;
+however, it leads to a kind of 'gimbal lock' when looking down the *z* axis:
+the plot reacts differently to mouse movement, dependent on the particular
+orientation at hand. Also, 'roll' cannot be controlled.
+
+As an alternative, there are various mouse rotation styles where the mouse
+manipulates a virtual 'trackball'. In its simplest form (``mouserotationstyle: trackball``),
+the trackball rotates around an in-plane axis perpendicular to the mouse motion
+(it is as if there is a plate laying on the trackball; the plate itself is fixed
+in orientation, but you can drag the plate with the mouse, thus rotating the ball).
+This is more natural to work with than the ``azel`` style; however,
+the plot cannot be easily rotated around the viewing direction - one has to
+move the mouse in circles with a handedness opposite to the desired rotation,
+counterintuitively.
+
+A different variety of trackball rotates along the shortest arc on the virtual
+sphere (``mouserotationstyle: sphere``). Rotating around the viewing direction
+is straightforward with it: grab the ball near its edge instead of near the center.
+
+Ken Shoemake's ARCBALL [Shoemake1992]_ is also available (``mouserotationstyle: Shoemake``);
+it resembles the ``sphere`` style, but is free of hysteresis,
+i.e., returning mouse to the original position
+returns the figure to its original orientation; the rotation is independent
+of the details of the path the mouse took, which could be desirable.
+However, Shoemake's arcball rotates at twice the angular rate of the
+mouse movement (it is quite noticeable, especially when adjusting roll),
+and it lacks an obvious mechanical equivalent; arguably, the path-independent
+rotation is not natural (however convenient), it could take some getting used to.
+So it is a trade-off.
+
+Henriksen et al. [Henriksen2002]_ provide an overview. In summary:
+
+.. list-table::
+   :width: 100%
+   :widths: 30 20 20 20 20 35
+
+   * - Style
+     - traditional [1]_
+     - incl. roll [2]_
+     - uniform [3]_
+     - path independent [4]_
+     - mechanical counterpart [5]_
+   * - azel
+     - ✔�
+     - �
+     - �
+     - ✔�
+     - ✔�
+   * - trackball
+     - �
+     - ✓ [6]_
+     - ✔�
+     - �
+     - ✔�
+   * - sphere
+     - �
+     - ✔�
+     - ✔�
+     - �
+     - ✔�
+   * - arcball
+     - �
+     - ✔�
+     - ✔�
+     - ✔�
+     - �
+
+
+.. [1] The way it was prior to v3.10; this is also MATLAB's style
+.. [2] Mouse controls roll too (not only azimuth and elevation)
+.. [3] Figure reacts the same way to mouse movements, regardless of orientation (no difference between 'poles' and 'equator')
+.. [4] Returning mouse to original position returns figure to original orientation (rotation is independent of the details of the path the mouse took)
+.. [5] The style has a corresponding natural implementation as a mechanical device
+.. [6] While it is possible to control roll with the ``trackball`` style, this is not immediately obvious (it requires moving the mouse in large circles) and a bit counterintuitive (the resulting roll is in the opposite direction)
+
+You can try out one of the various mouse rotation styles using:
+
+.. code::
+
+    import matplotlib as mpl
+    mpl.rcParams['axes3d.mouserotationstyle'] = 'trackball'  # 'azel', 'trackball', 'sphere', or 'arcball'
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from matplotlib import cm
+
+    ax = plt.figure().add_subplot(projection='3d')
+
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+
+    surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
+                           linewidth=0, antialiased=False)
+
+    plt.show()
+
+Alternatively, create a file ``matplotlibrc``, with contents::
+
+    axes3d.mouserotationstyle: trackball
+
+(or any of the other styles, instead of ``trackball``), and then run any of
+the :ref:`mplot3d-examples-index` examples.
+
+The size of the virtual trackball, sphere, or arcball can be adjusted
+by setting :rc:`axes3d.trackballsize`. This specifies how much
+mouse motion is needed to obtain a given rotation angle (when near the center),
+and it controls where the edge of the sphere or arcball is (how far from
+the center, hence how close to the plot edge).
+The size is specified in units of the Axes bounding box,
+i.e., to make the arcball span the whole bounding box, set it to 1.
+A size of about 2/3 appears to work reasonably well; this is the default.
+
+Both arcballs (``mouserotationstyle: sphere`` and
+``mouserotationstyle: arcball``) have a noticeable edge; the edge can be made
+less abrupt by specifying a border width, :rc:`axes3d.trackballborder`.
+This works somewhat like Gavin Bell's arcball, which was
+originally written for OpenGL [Bell1988]_, and is used in Blender and Meshlab.
+Bell's arcball extends the arcball's spherical control surface with a hyperbola;
+the two are smoothly joined. However, the hyperbola extends all the way beyond
+the edge of the plot. In the mplot3d sphere and arcball style, the border extends
+to a radius ``trackballsize/2 + trackballborder``.
+Beyond the border, the style works like the original: it controls roll only.
+A border width of about 0.2 appears to work well; this is the default.
+To obtain the original Shoemake's arcball with a sharp border,
+set the border width to 0.
+For an extended border similar to Bell's arcball, where the transition from
+the arcball to the border occurs at 45°, set the border width to
+:math:`\sqrt 2 \approx 1.414`.
+The border is a circular arc, wrapped around the arcball sphere cylindrically
+(like a doughnut), joined smoothly to the sphere, much like Bell's hyperbola.
+
+
+.. [Shoemake1992] Ken Shoemake, "ARCBALL: A user interface for specifying
+  three-dimensional rotation using a mouse", in Proceedings of Graphics
+  Interface '92, 1992, pp. 151-156, https://doi.org/10.20380/GI1992.18
+
+.. [Bell1988] Gavin Bell, in the examples included with the GLUT (OpenGL
+  Utility Toolkit) library,
+  https://github.com/markkilgard/glut/blob/master/progs/examples/trackball.h
+
+.. [Henriksen2002] Knud Henriksen, Jon Sporring, Kasper Hornbæk,
+  "Virtual Trackballs Revisited", in IEEE Transactions on Visualization
+  and Computer Graphics, Volume 10, Issue 2, March-April 2004, pp. 206-216,
+  https://doi.org/10.1109/TVCG.2004.1260772 `[full-text]`__;
+
+__ https://www.researchgate.net/publication/8329656_Virtual_Trackballs_Revisited#fullTextFileContent
diff --git a/doc/api/transformations.rst b/doc/api/transformations.rst
new file mode 100644
index 000000000000..7d5dd09d28c2
--- /dev/null
+++ b/doc/api/transformations.rst
@@ -0,0 +1,17 @@
+*************************
+``matplotlib.transforms``
+*************************
+
+.. inheritance-diagram:: matplotlib.transforms
+   :parts: 1
+
+.. automodule:: matplotlib.transforms
+   :members: TransformNode, BboxBase, Bbox, TransformedBbox, Transform,
+       TransformWrapper, AffineBase, Affine2DBase, Affine2D, IdentityTransform,
+       BlendedGenericTransform, BlendedAffine2D, blended_transform_factory,
+       CompositeGenericTransform, CompositeAffine2D,
+       composite_transform_factory, BboxTransform, BboxTransformTo,
+       BboxTransformFrom, ScaledTranslation, TransformedPath, nonsingular,
+       interval_contains, interval_contains_open
+   :show-inheritance:
+   :special-members: __add__, __sub__
diff --git a/doc/api/transforms.dot b/doc/api/transforms.dot
new file mode 100644
index 000000000000..c3ea975158bf
--- /dev/null
+++ b/doc/api/transforms.dot
@@ -0,0 +1,141 @@
+digraph {
+    splines="polyline";
+
+    node [
+        fontname="DejaVu Sans, Vera Sans, Liberation Sans, Arial, Helvetica, sans",
+        shape=box,
+    ];
+    edge [
+        arrowsize=0.5,
+        fontname="DejaVu Sans, Vera Sans, Liberation Sans, Arial, Helvetica, sans",
+    ];
+
+    // Axes properties.
+    Axes__bbox [
+        label=<TransformedBbox<BR/><FONT POINT-SIZE="10">Axes.bbox</FONT>>,
+        target="_top",
+        tooltip="TransformedBbox",
+        URL="transformations.html#matplotlib.transforms.TransformedBbox",
+    ];
+    Axes__transAxes [
+        label=<BboxTransformTo<BR/><FONT POINT-SIZE="10">Axes.transAxes</FONT>>
+        target="_top",
+        tooltip="BboxTransformTo",
+        URL="transformations.html#matplotlib.transforms.BboxTransformTo",
+    ];
+    Axes__transData [
+        label=<CompositeGenericTransform<BR/><FONT
+               POINT-SIZE="10">Axes.transData</FONT>>
+        target="_top",
+        tooltip="CompositeGenericTransform",
+        URL="transformations.html#matplotlib.transforms.CompositeGenericTransform",
+    ];
+    Axes__transLimits [
+        label=<BboxTransformFrom<BR/><FONT POINT-SIZE="10">Axes.transLimits</FONT>>
+        target="_top",
+        tooltip="BboxTransformFrom",
+        URL="transformations.html#matplotlib.transforms.BboxTransformFrom",
+    ];
+    Axes__transScale [
+        label=<TransformWrapper<BR/><FONT POINT-SIZE="10">Axes.transScale</FONT>>
+        target="_top",
+        tooltip="TransformWrapper",
+        URL="transformations.html#matplotlib.transforms.TransformWrapper",
+    ];
+    Axes__position [
+        label=<Bbox<BR/><FONT POINT-SIZE="10">Axes.get_position()</FONT>>
+        target="_top",
+        tooltip="Bbox",
+        URL="transformations.html#matplotlib.transforms.Bbox",
+    ];
+    Axes__viewLim [
+        label = <Bbox<BR/><FONT POINT-SIZE="10">Axes._viewLim</FONT>>
+        target="_top",
+        tooltip="Bbox",
+        URL="transformations.html#matplotlib.transforms.Bbox",
+    ];
+
+    // Axis properties.
+    XAxis_transform [
+        label=<IdentityTransform<BR/><FONT
+               POINT-SIZE="10">Axes.xaxis.get_transform()</FONT>>
+        target="_top",
+        tooltip="IdentityTransform",
+        URL="transformations.html#matplotlib.transforms.IdentityTransform",
+    ];
+    YAxis_transform [
+        label=<IdentityTransform<BR/><FONT
+               POINT-SIZE="10">Axes.yaxis.get_transform()</FONT>>
+        target="_top",
+        tooltip="IdentityTransform",
+        URL="transformations.html#matplotlib.transforms.IdentityTransform",
+    ];
+
+    // Figure properties.
+    Figure__transFigure [
+        label=<BboxTransformTo<BR/><FONT POINT-SIZE="10">Figure.transFigure</FONT>>
+        target="_top",
+        tooltip="BboxTransformTo",
+        URL="transformations.html#matplotlib.transforms.BboxTransformTo",
+    ];
+    Figure__bbox [
+        label=<TransformedBbox<BR/><FONT POINT-SIZE="10">Figure.bbox</FONT>>
+        target="_top",
+        tooltip="TransformedBbox",
+        URL="transformations.html#matplotlib.transforms.TransformedBbox",
+    ];
+    Figure__bbox_inches [
+        label=<Bbox<BR/><FONT POINT-SIZE="10">Figure.bbox_inches</FONT>>
+        target="_top",
+        tooltip="Bbox",
+        URL="transformations.html#matplotlib.transforms.Bbox",
+    ];
+    Figure__dpi_scale_trans [
+        label=<Affine2D<BR/><FONT POINT-SIZE="10">Figure.dpi_scale_trans</FONT>>
+        target="_top",
+        tooltip="Affine2D",
+        URL="transformations.html#matplotlib.transforms.Affine2D",
+    ];
+
+    // Internal unnamed transform children.
+    Axes__transDataB [
+        label="CompositeGenericTransform",
+        target="_top",
+        tooltip="CompositeGenericTransform",
+        URL="transformations.html#matplotlib.transforms.CompositeGenericTransform",
+    ];
+    Axes__transLimitsBbox [
+        label="TransformedBbox",
+        target="_top",
+        tooltip="TransformedBbox",
+        URL="transformations.html#matplotlib.transforms.TransformedBbox",
+    ];
+    Axes__transScaleBlend [
+        label="BlendedAffine2D",
+        target="_top",
+        tooltip="BlendedAffine2D",
+        URL="transformations.html#matplotlib.transforms.BlendedAffine2D",
+    ];
+
+    // The actual Axes__transform tree follows:
+    Axes__transData -> Axes__transScale [label="a", labelangle=90];
+    Axes__transData -> Axes__transDataB [label="b"];
+    Axes__transDataB -> Axes__transLimits [label="a"];
+    Axes__transDataB -> Axes__transAxes [label="b"];
+
+    Axes__transScale -> Axes__transScaleBlend [label="child"];
+    Axes__transScaleBlend -> XAxis_transform [label="x_transform"];
+    Axes__transScaleBlend -> YAxis_transform [label="y_transform"];
+
+    Axes__transLimits -> Axes__transLimitsBbox [label="boxin"];
+    Axes__transLimitsBbox -> Axes__viewLim [label="bbox"];
+    Axes__transLimitsBbox -> Axes__transScale [label="transform"];
+
+    Axes__transAxes -> Axes__bbox [label="boxout"];
+    Axes__bbox -> Axes__position [label="bbox"];
+    Axes__bbox -> Figure__transFigure [label="transform"];
+
+    Figure__transFigure -> Figure__bbox [label="boxout"];
+    Figure__bbox -> Figure__bbox_inches [label="bbox"];
+    Figure__bbox -> Figure__dpi_scale_trans [label="transform"];
+}
diff --git a/doc/api/tri_api.rst b/doc/api/tri_api.rst
index 8ede2a9beb28..0b4e046eec08 100644
--- a/doc/api/tri_api.rst
+++ b/doc/api/tri_api.rst
@@ -1,14 +1,17 @@
-****************
-triangular grids
-****************
+******************
+``matplotlib.tri``
+******************
 
-:mod:`matplotlib.tri`
-=====================
-.. automodule:: matplotlib.tri
+Unstructured triangular grid functions.
+
+.. py:module:: matplotlib.tri
 
 .. autoclass:: matplotlib.tri.Triangulation
     :members:
 
+.. autoclass:: matplotlib.tri.TriContourSet
+    :show-inheritance:
+
 .. autoclass:: matplotlib.tri.TriFinder
 
 .. autoclass:: matplotlib.tri.TrapezoidMapTriFinder
@@ -16,7 +19,7 @@ triangular grids
     :show-inheritance:
 
 .. autoclass:: matplotlib.tri.TriInterpolator
-   
+
 .. autoclass:: matplotlib.tri.LinearTriInterpolator
     :members: __call__, gradient
     :show-inheritance:
@@ -29,7 +32,7 @@ triangular grids
 
 .. autoclass:: matplotlib.tri.UniformTriRefiner
     :show-inheritance:
-    :members: 
+    :members:
 
 .. autoclass:: matplotlib.tri.TriAnalyzer
-    :members: 
+    :members:
diff --git a/doc/api/type1font.rst b/doc/api/type1font.rst
deleted file mode 100644
index bd4501bbd91b..000000000000
--- a/doc/api/type1font.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-****************
-type1font
-****************
-
-:mod:`matplotlib.type1font`
-===========================
-
-.. automodule:: matplotlib.type1font
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/doc/api/typing_api.rst b/doc/api/typing_api.rst
new file mode 100644
index 000000000000..4c0cad953487
--- /dev/null
+++ b/doc/api/typing_api.rst
@@ -0,0 +1,34 @@
+*********************
+``matplotlib.typing``
+*********************
+
+.. automodule:: matplotlib.typing
+   :no-members:
+   :no-undoc-members:
+
+Color
+=====
+
+.. autodata:: matplotlib.typing.ColorType
+.. autodata:: matplotlib.typing.RGBColorType
+.. autodata:: matplotlib.typing.RGBAColorType
+.. autodata:: matplotlib.typing.ColourType
+.. autodata:: matplotlib.typing.RGBColourType
+.. autodata:: matplotlib.typing.RGBAColourType
+
+Styles
+======
+
+.. autodata:: matplotlib.typing.LineStyleType
+.. autodata:: matplotlib.typing.DrawStyleType
+.. autodata:: matplotlib.typing.MarkEveryType
+.. autodata:: matplotlib.typing.FillStyleType
+.. autodata:: matplotlib.typing.CapStyleType
+.. autodata:: matplotlib.typing.JoinStyleType
+
+Other types
+===========
+
+.. autodata:: matplotlib.typing.CoordsType
+.. autodata:: matplotlib.typing.RcStyleType
+.. autodata:: matplotlib.typing.HashableList
diff --git a/doc/api/units_api.rst b/doc/api/units_api.rst
index c29596eb3d3c..aae2d7aa3254 100644
--- a/doc/api/units_api.rst
+++ b/doc/api/units_api.rst
@@ -1,10 +1,6 @@
-*****
-units
-*****
-
-
-:mod:`matplotlib.units`
-========================
+********************
+``matplotlib.units``
+********************
 
 .. automodule:: matplotlib.units
    :members:
diff --git a/doc/api/widgets_api.rst b/doc/api/widgets_api.rst
index edc196717988..014361e70377 100644
--- a/doc/api/widgets_api.rst
+++ b/doc/api/widgets_api.rst
@@ -1,10 +1,10 @@
-*******
-widgets
-*******
+**********************
+``matplotlib.widgets``
+**********************
 
+.. inheritance-diagram:: matplotlib.widgets
+   :parts: 1
 
-:mod:`matplotlib.widgets`
-=========================
 
 .. automodule:: matplotlib.widgets
    :members:
diff --git a/doc/conf.py b/doc/conf.py
index 4a84e85b9ed0..199249fdd437 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -1,60 +1,384 @@
-# -*- coding: utf-8 -*-
-#
 # Matplotlib documentation build configuration file, created by
 # sphinx-quickstart on Fri May  2 12:33:25 2008.
 #
-# This file is execfile()d with the current directory set to its containing dir.
+# This file is execfile()d with the current directory set to its containing
+# dir.
 #
 # The contents of this file are pickled, so don't put values in the namespace
-# that aren't pickleable (module imports are okay, they're removed automatically).
+# that aren't picklable (module imports are okay, they're removed
+# automatically).
 #
 # All configuration values have a default value; values that are commented out
 # serve to show the default value.
 
+from datetime import datetime, timezone
+import logging
 import os
+from pathlib import Path
+import re
+import shutil
+import subprocess
 import sys
+import time
+from urllib.parse import urlsplit, urlunsplit
+import warnings
+
+from packaging.version import parse as parse_version
 import sphinx
+import yaml
+
+import matplotlib
+
+# debug that building expected version
+print(f"Building Documentation for Matplotlib: {matplotlib.__version__}")
+
+# Release mode enables optimizations and other related options.
+is_release_build = tags.has('release')  # noqa
+
+# are we running circle CI?
+CIRCLECI = 'CIRCLECI' in os.environ
+# are we deploying this build to matplotlib.org/devdocs?
+# This is a copy of the logic in .circleci/deploy-docs.sh
+DEVDOCS = (
+    CIRCLECI and
+    (os.environ.get("CIRCLE_PROJECT_USERNAME") == "matplotlib") and
+    (os.environ.get("CIRCLE_BRANCH") == "main") and
+    (not os.environ.get("CIRCLE_PULL_REQUEST", "").startswith(
+        "https://github.com/matplotlib/matplotlib/pull")))
+
+
+def _parse_skip_subdirs_file():
+    """
+    Read .mpl_skip_subdirs.yaml for subdirectories to not
+    build if we do `make html-skip-subdirs`.  Subdirectories
+    are relative to the toplevel directory.  Note that you
+    cannot skip 'users' as it contains the table of contents,
+    but you can skip subdirectories of 'users'.  Doing this
+    can make partial builds very fast.
+    """
+    default_skip_subdirs = [
+        'users/prev_whats_new/*', 'users/explain/*', 'api/*', 'gallery/*',
+        'tutorials/*', 'plot_types/*', 'devel/*']
+    try:
+        with open(".mpl_skip_subdirs.yaml", 'r') as fin:
+            print('Reading subdirectories to skip from',
+                  '.mpl_skip_subdirs.yaml')
+            out = yaml.full_load(fin)
+        return out['skip_subdirs']
+    except FileNotFoundError:
+        # make a default:
+        with open(".mpl_skip_subdirs.yaml", 'w') as fout:
+            yamldict = {'skip_subdirs': default_skip_subdirs,
+                        'comment': 'For use with make html-skip-subdirs'}
+            yaml.dump(yamldict, fout)
+        print('Skipping subdirectories, but .mpl_skip_subdirs.yaml',
+              'not found so creating a default one. Edit this file',
+              'to customize which directories are included in build.')
+
+        return default_skip_subdirs
+
+
+skip_subdirs = []
+# triggered via make html-skip-subdirs
+if 'skip_sub_dirs=1' in sys.argv:
+    skip_subdirs = _parse_skip_subdirs_file()
+
+# Parse year using SOURCE_DATE_EPOCH, falling back to current time.
+# https://reproducible-builds.org/specs/source-date-epoch/
+sourceyear = datetime.fromtimestamp(
+    int(os.environ.get('SOURCE_DATE_EPOCH', time.time())), timezone.utc).year
 
 # If your extensions are in another directory, add it here. If the directory
 # is relative to the documentation root, use os.path.abspath to make it
 # absolute, like shown here.
 sys.path.append(os.path.abspath('.'))
+sys.path.append('.')
 
 # General configuration
 # ---------------------
 
-# Add any Sphinx extension module names here, as strings. They can be extensions
-# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ['matplotlib.sphinxext.mathmpl', 'sphinxext.math_symbol_table',
-              'sphinx.ext.autodoc', 'matplotlib.sphinxext.only_directives',
-              'sphinx.ext.doctest', 'sphinx.ext.autosummary',
-              'matplotlib.sphinxext.plot_directive',
-              'sphinx.ext.inheritance_diagram',
-              'sphinxext.gen_gallery', 'sphinxext.gen_rst',
-              'sphinxext.github',
-              'numpydoc']
+# Unless we catch the warning explicitly somewhere, a warning should cause the
+# docs build to fail. This is especially useful for getting rid of deprecated
+# usage in the gallery.
+warnings.filterwarnings('error', append=True)
+
+# Warnings for missing glyphs occur during `savefig`, and would cause any such plot to
+# not be created. Because the exception occurs in savefig, there is no way for the plot
+# itself to ignore these warnings locally, so we must do so globally.
+warnings.filterwarnings('default', category=UserWarning,
+                        message=r'Glyph \d+ \(.+\) missing from font\(s\)')
+warnings.filterwarnings('default', category=UserWarning,
+                        message=r'Matplotlib currently does not support .+ natively\.')
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
+extensions = [
+    'sphinx.ext.autodoc',
+    'sphinx.ext.autosummary',
+    'sphinx.ext.graphviz',
+    'sphinx.ext.inheritance_diagram',
+    'sphinx.ext.intersphinx',
+    'sphinx.ext.ifconfig',
+    'IPython.sphinxext.ipython_console_highlighting',
+    'IPython.sphinxext.ipython_directive',
+    'numpydoc',  # Needs to be loaded *after* autodoc.
+    'sphinx_gallery.gen_gallery',
+    'matplotlib.sphinxext.mathmpl',
+    'matplotlib.sphinxext.plot_directive',
+    'matplotlib.sphinxext.roles',
+    'matplotlib.sphinxext.figmpl_directive',
+    'sphinxcontrib.inkscapeconverter',
+    'sphinxext.github',
+    'sphinxext.math_symbol_table',
+    'sphinxext.missing_references',
+    'sphinxext.mock_gui_toolkits',
+    'sphinxext.skip_deprecated',
+    'sphinxext.redirect_from',
+    'sphinx_copybutton',
+    'sphinx_design',
+    'sphinx_tags',
+]
 
-exclude_patterns = ['api/api_changes/*', 'users/whats_new/*']
+exclude_patterns = [
+    'api/prev_api_changes/api_changes_*/*',
+    '**/*inc.rst',
+    'users/explain/index.rst'  # Page has no content, but required by sphinx gallery
+]
 
-# Use IPython's console highlighting by default
-try:
-    from IPython.sphinxext import ipython_console_highlighting
-except ImportError:
-    extensions.append('matplotlib.sphinxext.ipython_console_highlighting')
+exclude_patterns += skip_subdirs
+
+
+def _check_dependencies():
+    names = {
+        **{ext: ext.split(".")[0] for ext in extensions},
+        # Explicitly list deps that are not extensions, or whose PyPI package
+        # name does not match the (toplevel) module name.
+        "colorspacious": 'colorspacious',
+        "mpl_sphinx_theme": 'mpl_sphinx_theme',
+        "sphinxcontrib.inkscapeconverter": 'sphinxcontrib-svg2pdfconverter',
+    }
+    missing = []
+    for name in names:
+        try:
+            __import__(name)
+        except ImportError:
+            missing.append(names[name])
+    if missing:
+        raise ImportError(
+            "The following dependencies are missing to build the "
+            f"documentation: {', '.join(missing)}")
+
+    # debug sphinx-pydata-theme and mpl-theme-version
+    if 'mpl_sphinx_theme' not in missing:
+        import pydata_sphinx_theme
+        import mpl_sphinx_theme
+        print(f"pydata sphinx theme: {pydata_sphinx_theme.__version__}")
+        print(f"mpl sphinx theme: {mpl_sphinx_theme.__version__}")
+
+    if shutil.which('dot') is None:
+        raise OSError(
+            "No binary named dot - graphviz must be installed to build the "
+            "documentation")
+    if shutil.which('latex') is None:
+        raise OSError(
+            "No binary named latex - a LaTeX distribution must be installed to build "
+            "the documentation")
+
+_check_dependencies()
+
+
+# Import only after checking for dependencies.
+import sphinx_gallery
+
+if parse_version(sphinx_gallery.__version__) >= parse_version('0.16.0'):
+    gallery_order_sectionorder = 'sphinxext.gallery_order.sectionorder'
+    gallery_order_subsectionorder = 'sphinxext.gallery_order.subsectionorder'
+    clear_basic_units = 'sphinxext.util.clear_basic_units'
+    matplotlib_reduced_latex_scraper = 'sphinxext.util.matplotlib_reduced_latex_scraper'
 else:
-    print("Using IPython's ipython_console_highlighting directive")
-    extensions.append('IPython.sphinxext.ipython_console_highlighting')
+    # gallery_order.py from the sphinxext folder provides the classes that
+    # allow custom ordering of sections and subsections of the gallery
+    from sphinxext.gallery_order import (
+        sectionorder as gallery_order_sectionorder,
+        subsectionorder as gallery_order_subsectionorder)
+    from sphinxext.util import clear_basic_units, matplotlib_reduced_latex_scraper
+
+if parse_version(sphinx_gallery.__version__) >= parse_version('0.17.0'):
+    sg_matplotlib_animations = (True, 'mp4')
+else:
+    sg_matplotlib_animations = True
+
+# The following import is only necessary to monkey patch the signature later on
+from sphinx_gallery import gen_rst
+
+# Prevent plt.show() from emitting a non-GUI backend warning.
+warnings.filterwarnings('ignore', category=UserWarning,
+                        message=r'(\n|.)*is non-interactive, and thus cannot be shown')
 
-try:
-    import numpydoc
-except ImportError:
-    raise ImportError("No module named numpydoc - you need to install "
-                      "numpydoc to build the documentation.")
 
+# hack to catch sphinx-gallery 17.0 warnings
+def tutorials_download_error(record):
+    if re.match("download file not readable: .*tutorials_(python|jupyter).zip",
+                record.msg):
+        return False
+
+
+logger = logging.getLogger('sphinx')
+logger.addFilter(tutorials_download_error)
 
 autosummary_generate = True
+autodoc_typehints = "none"
+autodoc_mock_imports = ["pytest"]
+
+# we should ignore warnings coming from importing deprecated modules for
+# autodoc purposes, as this will disappear automatically when they are removed
+warnings.filterwarnings('ignore', category=DeprecationWarning,
+                        module='importlib',  # used by sphinx.autodoc.importer
+                        message=r'(\n|.)*module was deprecated.*')
 
 autodoc_docstring_signature = True
+autodoc_default_options = {'members': None, 'undoc-members': None}
+
+
+def autodoc_process_bases(app, name, obj, options, bases):
+    """
+    Hide pybind11 base object from inheritance tree.
+
+    Note, *bases* must be modified in place.
+    """
+    for cls in bases[:]:
+        if not isinstance(cls, type):
+            continue
+        if cls.__module__ == 'pybind11_builtins' and cls.__name__ == 'pybind11_object':
+            bases.remove(cls)
+
+
+# make sure to ignore warnings that stem from simply inspecting deprecated
+# class-level attributes
+warnings.filterwarnings('ignore', category=DeprecationWarning,
+                        module='sphinx.util.inspect')
+
+nitpicky = True
+# change this to True to update the allowed failures
+missing_references_write_json = False
+missing_references_warn_unused_ignores = False
+
+
+intersphinx_mapping = {
+    'Pillow': ('https://pillow.readthedocs.io/en/stable/', None),
+    'cycler': ('https://matplotlib.org/cycler/', None),
+    'dateutil': ('https://dateutil.readthedocs.io/en/stable/', None),
+    'ipykernel': ('https://ipykernel.readthedocs.io/en/latest/', None),
+    'numpy': ('https://numpy.org/doc/stable/', None),
+    'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None),
+    'pytest': ('https://pytest.org/en/stable/', None),
+    'python': ('https://docs.python.org/3/', None),
+    'scipy': ('https://docs.scipy.org/doc/scipy/', None),
+    'tornado': ('https://www.tornadoweb.org/en/stable/', None),
+    'xarray': ('https://docs.xarray.dev/en/stable/', None),
+    'meson-python': ('https://mesonbuild.com/meson-python/', None),
+    'pip': ('https://pip.pypa.io/en/stable/', None),
+}
+
+
+gallery_dirs = [f'{ed}' for ed in
+                ['gallery', 'tutorials', 'plot_types', 'users/explain']
+                if f'{ed}/*' not in skip_subdirs]
+
+example_dirs = []
+for gd in gallery_dirs:
+    gd = gd.replace('gallery', 'examples').replace('users/explain', 'users_explain')
+    example_dirs += [f'../galleries/{gd}']
+
+sphinx_gallery_conf = {
+    'backreferences_dir': Path('api', '_as_gen'),
+    # Compression is a significant effort that we skip for local and CI builds.
+    'compress_images': ('thumbnails', 'images') if is_release_build else (),
+    'doc_module': ('matplotlib', 'mpl_toolkits'),
+    'examples_dirs': example_dirs,
+    'filename_pattern': '^((?!sgskip).)*$',
+    'gallery_dirs': gallery_dirs,
+    'image_scrapers': (matplotlib_reduced_latex_scraper, ),
+    'image_srcset': ["2x"],
+    'junit': '../test-results/sphinx-gallery/junit.xml' if CIRCLECI else '',
+    'matplotlib_animations': sg_matplotlib_animations,
+    'min_reported_time': 1,
+    'plot_gallery': 'True',  # sphinx-gallery/913
+    'reference_url': {'matplotlib': None, 'mpl_toolkits': None},
+    'prefer_full_module': {r'mpl_toolkits\.'},
+    'remove_config_comments': True,
+    'reset_modules': ('matplotlib', clear_basic_units),
+    'subsection_order': gallery_order_sectionorder,
+    'thumbnail_size': (320, 224),
+    'within_subsection_order': gallery_order_subsectionorder,
+    'capture_repr': (),
+    'copyfile_regex': r'.*\.rst',
+}
+
+if parse_version(sphinx_gallery.__version__) >= parse_version('0.17.0'):
+    sphinx_gallery_conf['parallel'] = True
+    # Any warnings from joblib turned into errors may cause a deadlock.
+    warnings.filterwarnings('default', category=UserWarning, module='joblib')
+
+if 'plot_gallery=0' in sys.argv:
+    # Gallery images are not created.  Suppress warnings triggered where other
+    # parts of the documentation link to these images.
+
+    def gallery_image_warning_filter(record):
+        msg = record.msg
+        for pattern in (sphinx_gallery_conf['gallery_dirs'] +
+                        ['_static/constrained_layout']):
+            if msg.startswith(f'image file not readable: {pattern}'):
+                return False
+
+        if msg == 'Could not obtain image size. :scale: option is ignored.':
+            return False
+
+        return True
+
+    logger = logging.getLogger('sphinx')
+    logger.addFilter(gallery_image_warning_filter)
+
+# Sphinx tags configuration
+tags_create_tags = True
+tags_page_title = "All tags"
+tags_create_badges = True
+tags_badge_colors = {
+    "animation": "primary",
+    "component:*": "secondary",
+    "event-handling": "success",
+    "interactivity:*": "dark",
+    "plot-type:*": "danger",
+    "*": "light"  # default value
+}
+
+mathmpl_fontsize = 11.0
+mathmpl_srcset = ['2x']
+
+# Monkey-patching gallery header to include search keywords
+gen_rst.EXAMPLE_HEADER = """
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "{0}"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. meta::
+        :keywords: codex
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        :ref:`Go to the end <sphx_glr_download_{1}>`
+        to download the full example code.{2}
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_{1}:
+
+"""
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']
@@ -65,22 +389,35 @@
 # This is the default encoding, but it doesn't hurt to be explicit
 source_encoding = "utf-8"
 
-# The master toctree document.
-master_doc = 'contents'
+# The toplevel toctree document.
+root_doc = 'index'
 
 # General substitutions.
+try:
+    SHA = subprocess.check_output(
+        ['git', 'describe', '--dirty']).decode('utf-8').strip()
+# Catch the case where git is not installed locally, and use the setuptools_scm
+# version number instead
+except (subprocess.CalledProcessError, FileNotFoundError):
+    SHA = matplotlib.__version__
+
+
+html_context = {
+    "doc_version": SHA,
+}
+
 project = 'Matplotlib'
-copyright = '2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team; 2012 - 2014 The matplotlib development team'
+copyright = (
+    '2002–2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom '
+    'and the Matplotlib development team; '
+    f'2012–{sourceyear} The Matplotlib development team'
+)
+
 
 # The default replacements for |version| and |release|, also used in various
 # other places throughout the built documents.
 #
 # The short X.Y version.
-try:
-    import matplotlib
-except ImportError:
-    msg = "Error: matplotlib must be installed before building the documentation"
-    sys.exit(msg)
 
 version = matplotlib.__version__
 # The full version, including alpha/beta/rc tags.
@@ -88,7 +425,7 @@
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:
-#today = ''
+# today = ''
 # Else, today_fmt is used as the format for a strftime call.
 today_fmt = '%B %d, %Y'
 
@@ -96,15 +433,15 @@
 unused_docs = []
 
 # If true, '()' will be appended to :func: etc. cross-reference text.
-#add_function_parentheses = True
+# add_function_parentheses = True
 
 # If true, the current module name will be prepended to all description
 # unit titles (such as .. function::).
-#add_module_names = True
+# add_module_names = True
 
 # If true, sectionauthor and moduleauthor directives will be shown in the
 # output. They are ignored by default.
-#show_authors = False
+# show_authors = False
 
 # The name of the Pygments (syntax highlighting) style to use.
 pygments_style = 'sphinx'
@@ -114,51 +451,117 @@
 # Plot directive configuration
 # ----------------------------
 
-plot_formats = [('png', 80), ('hires.png', 200), ('pdf', 50)]
-
-# Subdirectories in 'examples/' directory of package and titles for gallery
-mpl_example_sections = (
-    ('lines_bars_and_markers', 'Lines, bars, and markers'),
-    ('shapes_and_collections', 'Shapes and collections'),
-    ('statistics', 'Statistical plots'),
-    ('images_contours_and_fields', 'Images, contours, and fields'),
-    ('pie_and_polar_charts', 'Pie and polar charts'),
-    ('color', 'Color'),
-    ('text_labels_and_annotations', 'Text, labels, and annotations'),
-    ('ticks_and_spines', 'Ticks and spines'),
-    ('subplots_axes_and_figures', 'Subplots, axes, and figures'),
-    ('style_sheets', 'Style sheets'),
-    ('specialty_plots', 'Specialty plots'),
-    ('showcase', 'Showcase'),
-    ('api', 'API'),
-    ('pylab_examples', 'pylab examples'),
-    ('mplot3d', 'mplot3d toolkit'),
-    ('axes_grid', 'axes_grid toolkit'),
-    ('units', 'units'),
-    ('widgets', 'widgets'),
-    )
-
-
-# Github extension
-
-github_project_url = "http://github.com/matplotlib/matplotlib/"
+# For speedup, decide which plot_formats to build based on build targets:
+#     html only -> png
+#     latex only -> pdf
+#     all other cases, including html + latex -> png, pdf
+# For simplicity, we assume that the build targets appear in the command line.
+# We're falling back on using all formats in case that assumption fails.
+formats = {'html': ('png', 100), 'latex': ('pdf', 100)}
+plot_formats = [formats[target] for target in ['html', 'latex']
+                if target in sys.argv] or list(formats.values())
+# make 2x images for srcset argument to <img>
+plot_srcset = ['2x']
+
+# GitHub extension
+
+github_project_url = "https://github.com/matplotlib/matplotlib/"
+
 
 # Options for HTML output
 # -----------------------
 
+def add_html_cache_busting(app, pagename, templatename, context, doctree):
+    """
+    Add cache busting query on CSS and JavaScript assets.
+
+    This adds the Matplotlib version as a query to the link reference in the
+    HTML, if the path is not absolute (i.e., it comes from the `_static`
+    directory) and doesn't already have a query.
+
+    .. note:: Sphinx 7.1 provides asset checksums; so this hook only runs on
+              Sphinx 7.0 and earlier.
+    """
+    from sphinx.builders.html import Stylesheet, JavaScript
+
+    css_tag = context['css_tag']
+    js_tag = context['js_tag']
+
+    def css_tag_with_cache_busting(css):
+        if isinstance(css, Stylesheet) and css.filename is not None:
+            url = urlsplit(css.filename)
+            if not url.netloc and not url.query:
+                url = url._replace(query=SHA)
+                css = Stylesheet(urlunsplit(url), priority=css.priority,
+                                 **css.attributes)
+        return css_tag(css)
+
+    def js_tag_with_cache_busting(js):
+        if isinstance(js, JavaScript) and js.filename is not None:
+            url = urlsplit(js.filename)
+            if not url.netloc and not url.query:
+                url = url._replace(query=SHA)
+                js = JavaScript(urlunsplit(url), priority=js.priority,
+                                **js.attributes)
+        return js_tag(js)
+
+    context['css_tag'] = css_tag_with_cache_busting
+    context['js_tag'] = js_tag_with_cache_busting
+
+
 # The style sheet to use for HTML and HTML Help pages. A file of that name
 # must exist either in Sphinx' static/ path, or in one of the custom paths
 # given in html_static_path.
-#html_style = 'matplotlib.css'
-html_style = 'mpl.css'
+html_css_files = [
+    "mpl.css",
+]
+
+html_theme = "mpl_sphinx_theme"
 
 # The name for this set of Sphinx documents.  If None, it defaults to
 # "<project> v<release> documentation".
-#html_title = None
+# html_title = None
 
 # The name of an image file (within the static path) to place at the top of
 # the sidebar.
-#html_logo = 'logo.png'
+html_theme_options = {
+    "navbar_links": "internal",
+    # collapse_navigation in pydata-sphinx-theme is slow, so skipped for local
+    # and CI builds https://github.com/pydata/pydata-sphinx-theme/pull/386
+    "collapse_navigation": not is_release_build,
+    "show_prev_next": False,
+    "switcher": {
+        # Add a unique query to the switcher.json url.  This will be ignored by
+        # the server, but will be used as part of the key for caching by browsers
+        # so when we do a new meso release the switcher will update "promptly" on
+        # the stable and devdocs.
+        "json_url": (
+            "https://output.circle-artifacts.com/output/job/"
+            f"{os.environ['CIRCLE_WORKFLOW_JOB_ID']}/artifacts/"
+            f"{os.environ['CIRCLE_NODE_INDEX']}"
+            "/doc/build/html/_static/switcher.json" if CIRCLECI and not DEVDOCS else
+            f"https://matplotlib.org/devdocs/_static/switcher.json?{SHA}"
+        ),
+        "version_match": (
+            matplotlib.__version__
+            if matplotlib.__version_info__.releaselevel == 'final'
+            else 'dev')
+    },
+    "navbar_end": ["theme-switcher", "version-switcher", "mpl_icon_links"],
+    "navbar_persistent": ["search-button"],
+    "footer_start": ["copyright", "sphinx-version", "doc_version"],
+    # We override the announcement template from pydata-sphinx-theme, where
+    # this special value indicates the use of the unreleased banner. If we need
+    # an actual announcement, then just place the text here as usual.
+    "announcement": "unreleased" if not is_release_build else "",
+    "show_version_warning_banner": True,
+}
+include_analytics = is_release_build
+if include_analytics:
+    html_theme_options["analytics"] = {
+        "plausible_analytics_domain": "matplotlib.org",
+        "plausible_analytics_url": "https://views.scientific-python.org/js/script.js"
+    }
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
@@ -169,45 +572,62 @@
 # default is ``".html"``.
 html_file_suffix = '.html'
 
+# this makes this the canonical link for all the pages on the site...
+html_baseurl = 'https://matplotlib.org/stable/'
+
 # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
 # using the given strftime format.
 html_last_updated_fmt = '%b %d, %Y'
 
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-#html_use_smartypants = True
-
 # Content template for the index page.
 html_index = 'index.html'
 
 # Custom sidebar templates, maps document names to template names.
-#html_sidebars = {}
+# html_sidebars = {}
 
 # Custom sidebar templates, maps page names to templates.
-html_sidebars = {'index': 'indexsidebar.html',
-                 }
-
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-html_additional_pages = {'index': 'index.html',
-                         'gallery':'gallery.html',
-                         'citing': 'citing.html'}
-
-# If false, no module index is generated.
-#html_use_modindex = True
-html_domain_indices = ["py-modindex"]
+html_sidebars = {
+    "index": [
+        # 'sidebar_announcement.html',
+        "cheatsheet_sidebar.html",
+        "donate_sidebar.html",
+    ],
+    # no sidebar for release notes, because that page is only a collection of links
+    # to sub-pages. The sidebar would repeat all the titles of the sub-pages and
+    # thus basically repeat all the content of the page.
+    "users/release_notes": ["empty_sidebar.html"],
+    # '**': ['localtoc.html', 'pagesource.html']
+}
+
+# Don't include link to doc source files
+html_show_sourcelink = False
+
+# Copies only relevant code, not the '>>>' prompt
+copybutton_prompt_text = r'>>> |\.\.\. '
+copybutton_prompt_is_regexp = True
+
+# If true, add an index to the HTML documents.
+html_use_index = False
+
+# If true, generate domain-specific indices in addition to the general index.
+# For e.g. the Python domain, this is the global module index.
+html_domain_index = False
 
 # If true, the reST sources are included in the HTML build as _sources/<name>.
-#html_copy_source = True
+# html_copy_source = True
 
 # If true, an OpenSearch description file will be output, and all pages will
 # contain a <link> tag referring to it.
-html_use_opensearch = 'False'
+html_use_opensearch = 'https://matplotlib.org/stable'
 
 # Output file base name for HTML help builder.
 htmlhelp_basename = 'Matplotlibdoc'
 
+# Use typographic quote characters.
+smartquotes = False
+
+# Path to favicon
+html_favicon = '_static/favicon.ico'
 
 # Options for LaTeX output
 # ------------------------
@@ -215,16 +635,15 @@
 # The paper size ('letter' or 'a4').
 latex_paper_size = 'letter'
 
-# The font size ('10pt', '11pt' or '12pt').
-latex_font_size = '11pt'
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title, author, document class [howto/manual]).
+# Grouping the document tree into LaTeX files.
+# List of tuples:
+#   (source start file, target name, title, author,
+#    document class [howto/manual])
 
 latex_documents = [
-    ('contents', 'Matplotlib.tex', 'Matplotlib',
-     'John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the '
-     'matplotlib development team', 'manual'),
+    (root_doc, 'Matplotlib.tex', 'Matplotlib',
+     'John Hunter\\and Darren Dale\\and Eric Firing\\and Michael Droettboom'
+     '\\and and the matplotlib development team', 'manual'),
 ]
 
 
@@ -232,27 +651,109 @@
 # the title page.
 latex_logo = None
 
+# Use Unicode aware LaTeX engine
+latex_engine = 'xelatex'  # or 'lualatex'
+
+latex_elements = {}
+
+# Keep babel usage also with xelatex (Sphinx default is polyglossia)
+# If this key is removed or changed, latex build directory must be cleaned
+latex_elements['babel'] = r'\usepackage{babel}'
+
+# Font configuration
+# Fix fontspec converting " into right curly quotes in PDF
+# cf https://github.com/sphinx-doc/sphinx/pull/6888/
+latex_elements['fontenc'] = r'''
+\usepackage{fontspec}
+\defaultfontfeatures[\rmfamily,\sffamily,\ttfamily]{}
+'''
+
+# Sphinx 2.0 adopts GNU FreeFont by default, but it does not have all
+# the Unicode codepoints needed for the section about Mathtext
+# "Writing mathematical expressions"
+latex_elements['fontpkg'] = r"""
+\IfFontExistsTF{XITS}{
+ \setmainfont{XITS}
+}{
+ \setmainfont{XITS}[
+  Extension      = .otf,
+  UprightFont    = *-Regular,
+  ItalicFont     = *-Italic,
+  BoldFont       = *-Bold,
+  BoldItalicFont = *-BoldItalic,
+]}
+\IfFontExistsTF{FreeSans}{
+ \setsansfont{FreeSans}
+}{
+ \setsansfont{FreeSans}[
+  Extension      = .otf,
+  UprightFont    = *,
+  ItalicFont     = *Oblique,
+  BoldFont       = *Bold,
+  BoldItalicFont = *BoldOblique,
+]}
+\IfFontExistsTF{FreeMono}{
+ \setmonofont{FreeMono}
+}{
+ \setmonofont{FreeMono}[
+  Extension      = .otf,
+  UprightFont    = *,
+  ItalicFont     = *Oblique,
+  BoldFont       = *Bold,
+  BoldItalicFont = *BoldOblique,
+]}
+% needed for \mathbb (blackboard alphabet) to actually work
+\usepackage{unicode-math}
+\IfFontExistsTF{XITS Math}{
+ \setmathfont{XITS Math}
+}{
+ \setmathfont{XITSMath-Regular}[
+  Extension      = .otf,
+]}
+"""
+
+# Fix fancyhdr complaining about \headheight being too small
+latex_elements['passoptionstopackages'] = r"""
+    \PassOptionsToPackage{headheight=14pt}{geometry}
+"""
+
 # Additional stuff for the LaTeX preamble.
-latex_preamble = r"""
-   % In the parameters section, place a newline after the Parameters
-   % header.  (This is stolen directly from Numpy's conf.py, since it
-   % affects Numpy-style docstrings).
+latex_elements['preamble'] = r"""
+   % Show Parts and Chapters in Table of Contents
+   \setcounter{tocdepth}{0}
+   % One line per author on title page
+   \DeclareRobustCommand{\and}%
+     {\end{tabular}\kern-\tabcolsep\\\begin{tabular}[t]{c}}%
+   \usepackage{etoolbox}
+   \AtBeginEnvironment{sphinxthebibliography}{\appendix\part{Appendices}}
    \usepackage{expdlist}
    \let\latexdescription=\description
    \def\description{\latexdescription{}{} \breaklabel}
-
-   \usepackage{amsmath}
-   \usepackage{amsfonts}
-   \usepackage{amssymb}
-   \usepackage{txfonts}
-
-   % The enumitem package provides unlimited nesting of lists and
-   % enums.  Sphinx may use this in the future, in which case this can
-   % be removed.  See
-   % https://bitbucket.org/birkenfeld/sphinx/issue/777/latex-output-too-deeply-nested
-   \usepackage{enumitem}
-   \setlistdepth{2048}
+   % But expdlist old LaTeX package requires fixes:
+   % 1) remove extra space
+   \makeatletter
+   \patchcmd\@item{{\@breaklabel} }{{\@breaklabel}}{}{}
+   \makeatother
+   % 2) fix bug in expdlist's way of breaking the line after long item label
+   \makeatletter
+   \def\breaklabel{%
+       \def\@breaklabel{%
+           \leavevmode\par
+           % now a hack because Sphinx inserts \leavevmode after term node
+           \def\leavevmode{\def\leavevmode{\unhbox\voidb@x}}%
+      }%
+   }
+   \makeatother
 """
+# Sphinx 1.5 provides this to avoid "too deeply nested" LaTeX error
+# and usage of "enumitem" LaTeX package is unneeded.
+# Value can be increased but do not set it to something such as 2048
+# which needlessly would trigger creation of thousands of TeX macros
+latex_elements['maxlistdepth'] = '10'
+latex_elements['pointsize'] = '11pt'
+
+# Better looking general index in PDF
+latex_elements['printindex'] = r'\footnotesize\raggedright\printindex'
 
 # Documents to append as an appendix to all manuals.
 latex_appendices = []
@@ -260,71 +761,168 @@
 # If false, no module index is generated.
 latex_use_modindex = True
 
-latex_use_parts = True
+latex_toplevel_sectioning = 'part'
 
 # Show both class-level docstring and __init__ docstring in class
 # documentation
 autoclass_content = 'both'
 
-rst_epilog = """
-.. |minimum_numpy_version| replace:: %s
-""" % matplotlib.__version__numpy__
-
 texinfo_documents = [
-    ("contents", 'matplotlib', 'Matplotlib Documentation',
+    (root_doc, 'matplotlib', 'Matplotlib Documentation',
      'John Hunter@*Darren Dale@*Eric Firing@*Michael Droettboom@*'
      'The matplotlib development team',
      'Matplotlib', "Python plotting package", 'Programming',
      1),
 ]
 
-try:
-    from unittest.mock import MagicMock
-except:
-    from mock import MagicMock
-
-
-class MyWX(MagicMock):
-    class Panel(object):
-        pass
-
-    class ToolBar(object):
-        pass
-
-    class Frame(object):
-        pass
-
-    VERSION_STRING = '2.8'
-
-
-class MyPyQt4(MagicMock):
-    class QtGui(object):
-        class QToolBar(object):
-            pass
-
-        class QDialog(object):
-            pass
+# numpydoc config
 
-        class QWidget(object):
-            pass
-
-        class QMainWindow(object):
-            pass
-
-
-class MySip(MagicMock):
-    def getapi(*args):
-        return 1
-
-
-mockwxversion = MagicMock()
-mockwx = MyWX()
-mocksip = MySip()
-mockpyqt4 = MyPyQt4()
-sys.modules['wxversion'] = mockwxversion
-sys.modules['wx'] = mockwx
-sys.modules['sip'] = mocksip
-sys.modules['PyQt4'] = mockpyqt4
-
-################# numpydoc config ####################
 numpydoc_show_class_members = False
+
+# We want to prevent any size limit, as we'll add scroll bars with CSS.
+inheritance_graph_attrs = dict(size='1000.0', splines='polyline')
+# Also remove minimum node dimensions, and increase line size a bit.
+inheritance_node_attrs = dict(height=0.02, margin=0.055, penwidth=1,
+                              width=0.01)
+inheritance_edge_attrs = dict(penwidth=1)
+
+graphviz_dot = shutil.which('dot')
+graphviz_output_format = 'svg'
+
+# -----------------------------------------------------------------------------
+# Source code links
+# -----------------------------------------------------------------------------
+link_github = True
+# You can add build old with link_github = False
+
+if link_github:
+    import inspect
+
+    extensions.append('sphinx.ext.linkcode')
+
+    def linkcode_resolve(domain, info):
+        """
+        Determine the URL corresponding to Python object
+        """
+        if domain != 'py':
+            return None
+
+        modname = info['module']
+        fullname = info['fullname']
+
+        submod = sys.modules.get(modname)
+        if submod is None:
+            return None
+
+        obj = submod
+        for part in fullname.split('.'):
+            try:
+                obj = getattr(obj, part)
+            except AttributeError:
+                return None
+
+        if inspect.isfunction(obj):
+            obj = inspect.unwrap(obj)
+        try:
+            fn = inspect.getsourcefile(obj)
+        except TypeError:
+            fn = None
+        if not fn or fn.endswith('__init__.py'):
+            try:
+                fn = inspect.getsourcefile(sys.modules[obj.__module__])
+            except (TypeError, AttributeError, KeyError):
+                fn = None
+        if not fn:
+            return None
+
+        try:
+            source, lineno = inspect.getsourcelines(obj)
+        except (OSError, TypeError):
+            lineno = None
+
+        linespec = (f"#L{lineno:d}-L{lineno + len(source) - 1:d}"
+                    if lineno else "")
+
+        startdir = Path(matplotlib.__file__).parent.parent
+        try:
+            fn = os.path.relpath(fn, start=startdir).replace(os.path.sep, '/')
+        except ValueError:
+            return None
+
+        if not fn.startswith(('matplotlib/', 'mpl_toolkits/')):
+            return None
+
+        version = parse_version(matplotlib.__version__)
+        tag = 'main' if version.is_devrelease else f'v{version.public}'
+        return ("https://github.com/matplotlib/matplotlib/blob"
+                f"/{tag}/lib/{fn}{linespec}")
+else:
+    extensions.append('sphinx.ext.viewcode')
+
+
+def generate_ScalarMappable_docs():
+
+    import matplotlib.colorizer
+    from numpydoc.docscrape_sphinx import get_doc_object
+    from pathlib import Path
+    import textwrap
+    from sphinx.util.inspect import stringify_signature
+    target_file = Path(__file__).parent / 'api' / 'scalarmappable.gen_rst'
+    with open(target_file, 'w') as fout:
+        fout.write("""
+.. class:: ScalarMappable(colorizer, **kwargs)
+   :canonical: matplotlib.colorizer._ScalarMappable
+
+""")
+        for meth in [
+                matplotlib.colorizer._ScalarMappable.autoscale,
+                matplotlib.colorizer._ScalarMappable.autoscale_None,
+                matplotlib.colorizer._ScalarMappable.changed,
+                """
+   .. attribute:: colorbar
+
+        The last colorbar associated with this ScalarMappable. May be None.
+""",
+                matplotlib.colorizer._ScalarMappable.get_alpha,
+                matplotlib.colorizer._ScalarMappable.get_array,
+                matplotlib.colorizer._ScalarMappable.get_clim,
+                matplotlib.colorizer._ScalarMappable.get_cmap,
+                """
+   .. property:: norm
+""",
+                matplotlib.colorizer._ScalarMappable.set_array,
+                matplotlib.colorizer._ScalarMappable.set_clim,
+                matplotlib.colorizer._ScalarMappable.set_cmap,
+                matplotlib.colorizer._ScalarMappable.set_norm,
+                matplotlib.colorizer._ScalarMappable.to_rgba,
+        ]:
+            if isinstance(meth, str):
+                fout.write(meth)
+            else:
+                name = meth.__name__
+                sig = stringify_signature(inspect.signature(meth))
+                docstring = textwrap.indent(
+                    str(get_doc_object(meth)),
+                    '      '
+                ).rstrip()
+                fout.write(f"""
+   .. method::  {name}{sig}
+{docstring}
+
+""")
+
+
+# -----------------------------------------------------------------------------
+# Sphinx setup
+# -----------------------------------------------------------------------------
+def setup(app):
+    if any(st in version for st in ('post', 'dev', 'alpha', 'beta')):
+        bld_type = 'dev'
+    else:
+        bld_type = 'rel'
+    app.add_config_value('skip_sub_dirs', 0, '')
+    app.add_config_value('releaselevel', bld_type, 'env')
+    app.connect('autodoc-process-bases', autodoc_process_bases)
+    if sphinx.version_info[:2] < (7, 1):
+        app.connect('html-page-context', add_html_cache_busting, priority=1000)
+    generate_ScalarMappable_docs()
diff --git a/doc/contents.rst b/doc/contents.rst
deleted file mode 100644
index 0765e13130f9..000000000000
--- a/doc/contents.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-
-
-Overview
-========
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-    Download `PDF <Matplotlib.pdf>`_
-
-
-.. toctree::
-   :maxdepth: 2
-
-   users/index.rst
-   faq/index.rst
-   resources/index.rst
-   devel/index.rst
-   mpl_toolkits/index.rst
-   api/index.rst
-   examples/index.rst
-   glossary/index.rst
-
-.. htmlonly::
-
-  * :ref:`genindex`
-  * :ref:`modindex`
-  * :ref:`search`
diff --git a/doc/devel/MEP/MEP08.rst b/doc/devel/MEP/MEP08.rst
new file mode 100644
index 000000000000..18419ac2bf11
--- /dev/null
+++ b/doc/devel/MEP/MEP08.rst
@@ -0,0 +1,63 @@
+============
+ MEP8: PEP8
+============
+
+.. contents::
+   :local:
+
+
+Status
+======
+
+**Superseded**
+
+Current guidelines for style, including usage of pep8 are maintained
+in `our pull request guidelines <https://matplotlib.org/devdocs/devel/coding_guide.html>`_.
+
+We are currently enforcing a sub-set of pep8 on new code contributions.
+
+Branches and Pull requests
+==========================
+
+None so far.
+
+Abstract
+========
+
+The matplotlib codebase predates PEP8, and therefore is less than
+consistent style-wise in some areas.  Bringing the codebase into
+compliance with PEP8 would go a long way to improving its legibility.
+
+Detailed description
+====================
+
+Some files use four space indentation, some use three.  Some use
+different levels in the same file.
+
+For the most part, class/function/variable naming follows PEP8, but it
+wouldn't hurt to fix where necessary.
+
+Implementation
+==============
+
+The implementation should be fairly mechanical: running the pep8 tool
+over the code and fixing where appropriate.
+
+This should be merged in after the 2.0 release, since the changes will
+likely make merging any pending pull requests more difficult.
+
+Additionally, and optionally, PEP8 compliance could be tracked by an
+automated build system.
+
+Backward compatibility
+======================
+
+Public names of classes and functions that require change (there
+shouldn't be many of these) should first be deprecated and then
+removed in the next release cycle.
+
+Alternatives
+============
+
+PEP8 is a popular standard for Python code style, blessed by the
+Python core developers, making any alternatives less desirable.
diff --git a/doc/devel/MEP/MEP09.rst b/doc/devel/MEP/MEP09.rst
new file mode 100644
index 000000000000..51ac47ca2c79
--- /dev/null
+++ b/doc/devel/MEP/MEP09.rst
@@ -0,0 +1,221 @@
+==================================
+ MEP9: Global interaction manager
+==================================
+
+.. contents::
+   :local:
+
+Add a global manager for all user interactivity with artists; make any
+artist resizeable, moveable, highlightable, and selectable as desired
+by the user.
+
+Status
+======
+
+**Discussion**
+
+Branches and Pull requests
+==========================
+https://github.com/dhyams/matplotlib/tree/MEP9
+
+Abstract
+========
+
+The goal is to be able to interact with matplotlib artists in a very
+similar way as drawing programs do.  When appropriate, the user should
+be able to move, resize, or select an artist that is already on the
+canvas.  Of course, the script writer is ultimately in control of
+whether an artist is able to be interacted with, or whether it is
+static.
+
+This code to do this has already been privately implemented and
+tested, and would need to be migrated from its current "mixin"
+implementation, to a bona-fide part of matplotlib.
+
+The end result would be to have four new keywords available to
+matplotlib.artist.Artist: _moveable_, _resizeable_, _selectable_, and
+_highlightable_.  Setting any one of these keywords to True would
+activate interactivity for that artist.
+
+In effect, this MEP is a logical extension of event handling in
+matplotlib; matplotlib already supports "low level" interactions like
+left mouse presses, a key press, or similar.  The MEP extends the
+support to the logical level, where callbacks are performed on the
+artists when certain interactive gestures from the user are detected.
+
+Detailed description
+====================
+
+This new functionality would be used to allow the end-user to better
+interact with the graph.  Many times, a graph is almost what the user
+wants, but a small repositioning and/or resizing of components is
+necessary.  Rather than force the user to go back to the script to
+trial-and-error the location, and simple drag and drop would be
+appropriate.
+
+Also, this would better support applications that use matplotlib;
+here, the end-user has no reasonable access or desire to edit the
+underlying source in order to fine-tune a plot.  Here, if matplotlib
+offered the capability, one could move or resize artists on the canvas
+to suit their needs.  Also, the user should be able to highlight (with
+a mouse over) an artist, and select it with a double-click, if the
+application supports that sort of thing.  In this MEP, we also want to
+support the highlighting and selection natively; it is up to
+application to handle what happens when the artist is selected.  A
+typical handling would be to display a dialog to edit the properties
+of the artist.
+
+In the future, as well (this is not part of this MEP), matplotlib
+could offer backend-specific property dialogs for each artist, which
+are raised on artist selection.  This MEP would be a necessary
+stepping stone for that sort of capability.
+
+There are currently a few interactive capabilities in matplotlib
+(e.g. legend.draggable()), but they tend to be scattered and are not
+available for all artists.  This MEP seeks to unify the interactive
+interface and make it work for all artists.
+
+The current MEP also includes grab handles for resizing artists, and
+appropriate boxes drawn when artists are moved or resized.
+
+Implementation
+==============
+* Add appropriate methods to the "tree" of artists so that the
+  interactivity manager has a consistent interface for the
+  interactivity manager to deal with.  The proposed methods to add to
+  the artists, if they are to support interactivity, are:
+
+  * get_pixel_position_ll(self): get the pixel position of the lower
+    left corner of the artist's bounding box
+  * get_pixel_size(self): get the size of the artist's bounding box,
+    in pixels
+  * set_pixel_position_and_size(self,x,y,dx,dy): set the new size of
+    the artist, such that it fits within the specified bounding box.
+
+* add capability to the backends to 1) provide cursors, since these
+  are needed for visual indication of moving/resizing, and 2) provide
+  a function that gets the current mouse position
+* Implement the manager.  This has already been done privately (by
+  dhyams) as a mixin, and has been tested quite a bit.  The goal would
+  be to move the functionality of the manager into the artists so that
+  it is in matplotlib properly, and not as a "monkey patch" as I
+  currently have it coded.
+
+
+
+Current summary of the mixin
+============================
+
+(Note that this mixin is for now just private code, but can be added
+to a branch obviously)
+
+InteractiveArtistMixin:
+
+Mixin class to make any generic object that is drawn on a matplotlib
+canvas moveable and possibly resizeable.  The Powerpoint model is
+followed as closely as possible; not because I'm enamoured with
+Powerpoint, but because that's what most people understand.  An artist
+can also be selectable, which means that the artist will receive the
+on_activated() callback when double clicked.  Finally, an artist can
+be highlightable, which means that a highlight is drawn on the artist
+whenever the mouse passes over.  Typically, highlightable artists will
+also be selectable, but that is left up to the user.  So, basically
+there are four attributes that can be set by the user on a per-artist
+basis:
+
+* highlightable
+* selectable
+* moveable
+* resizeable
+
+To be moveable (draggable) or resizeable, the object that is the
+target of the mixin must support the following protocols:
+
+* get_pixel_position_ll(self)
+* get_pixel_size(self)
+* set_pixel_position_and_size(self,x,y,sx,sy)
+
+Note that nonresizeable objects are free to ignore the sx and sy
+parameters. To be highlightable, the object that is the target of the
+mixin must also support the following protocol:
+
+* get_highlight(self)
+
+Which returns a list of artists that will be used to draw the highlight.
+
+If the object that is the target of the mixin is not an matplotlib
+artist, the following protocols must also be implemented.  Doing so is
+usually fairly trivial, as there has to be an artist *somewhere* that
+is being drawn.  Typically your object would just route these calls to
+that artist.
+
+* get_figure(self)
+* get_axes(self)
+* contains(self,event)
+* set_animated(self,flag)
+* draw(self,renderer)
+* get_visible(self)
+
+The following notifications are called on the artist, and the artist
+can optionally implement these.
+
+* on_select_begin(self)
+* on_select_end(self)
+* on_drag_begin(self)
+* on_drag_end(self)
+* on_activated(self)
+* on_highlight(self)
+* on_right_click(self,event)
+* on_left_click(self,event)
+* on_middle_click(self,event)
+* on_context_click(self,event)
+* on_key_up(self,event)
+* on_key_down(self,event)
+
+The following notifications are called on the canvas, if no
+interactive artist handles the event:
+
+* on_press(self,event)
+* on_left_click(self,event)
+* on_middle_click(self,event)
+* on_right_click(self,event)
+* on_context_click(self,event)
+* on_key_up(self,event)
+* on_key_down(self,event)
+
+The following functions, if present, can be used to modify the
+behavior of the interactive object:
+
+* press_filter(self,event) # determines if the object wants to have
+  the press event routed to it
+* handle_unpicked_cursor() # can be used by the object to set a cursor
+  as the cursor passes over the object when it is unpicked.
+
+Supports multiple canvases, maintaining a drag lock, motion notifier,
+and a global "enabled" flag per canvas. Supports fixed aspect ratio
+resizings by holding the shift key during the resize.
+
+Known problems:
+
+* Zorder is not obeyed during the selection/drag operations.  Because
+  of the blit technique used, I do not believe this can be fixed.  The
+  only way I can think of is to search for all artists that have a
+  zorder greater then me, set them all to animated, and then redraw
+  them all on top during each drag refresh.  This might be very slow;
+  need to try.
+* the mixin only works for wx backends because of two things: 1) the
+  cursors are hardcoded, and 2) there is a call to
+  wx.GetMousePosition() Both of these shortcomings are reasonably
+  fixed by having each backend supply these things.
+
+Backward compatibility
+======================
+
+No problems with backward compatibility, although once this is in
+place, it would be appropriate to obsolete some of the existing
+interactive functions (like legend.draggable())
+
+Alternatives
+============
+
+None that I know of.
diff --git a/doc/devel/MEP/MEP10.rst b/doc/devel/MEP/MEP10.rst
new file mode 100644
index 000000000000..9e9650587f55
--- /dev/null
+++ b/doc/devel/MEP/MEP10.rst
@@ -0,0 +1,190 @@
+==============================
+ MEP10: Docstring consistency
+==============================
+.. contents::
+   :local:
+
+Status
+======
+
+**Progress**
+
+This is still an on-going effort
+
+Branches and Pull requests
+==========================
+
+
+Abstract
+========
+
+matplotlib has a great deal of inconsistency between docstrings.  This
+not only makes the docs harder to read, but it is harder on
+contributors, because they don't know which specifications to follow.
+There should be a clear docstring convention that is followed
+consistently.
+
+The organization of the API documentation is difficult to follow.
+Some pages, such as pyplot and axes, are enormous and hard to browse.
+There should instead be short summary tables that link to detailed
+documentation.  In addition, some of the docstrings themselves are
+quite long and contain redundant information.
+
+Building the documentation takes a long time and uses a :file:`make.py`
+script rather than a Makefile.
+
+Detailed description
+====================
+
+There are number of new tools and conventions available since
+matplotlib started using Sphinx that make life easier.  The following
+is a list of proposed changes to docstrings, most of which involve
+these new features.
+
+Numpy docstring format
+----------------------
+
+`Numpy docstring format
+<https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt>`_:
+This format divides the docstring into clear sections, each having
+different parsing rules that make the docstring easy to read both as
+raw text and as HTML.  We could consider alternatives, or invent our
+own, but this is a strong choice, as it's well used and understood in
+the Numpy/Scipy community.
+
+Cross references
+----------------
+
+Most of the docstrings in matplotlib use explicit "roles" when linking
+to other items, for example: ``:func:`myfunction```.  As of Sphinx
+0.4, there is a "default_role" that can be set to "obj", which will
+polymorphically link to a Python object of any type.  This allows one
+to write ```myfunction``` instead.  This makes docstrings much easier
+to read and edit as raw text.  Additionally, Sphinx allows for setting
+a current module, so links like ```~matplotlib.axes.Axes.set_xlim```
+could be written as ```~axes.Axes.set_xlim```.
+
+Overriding signatures
+---------------------
+
+Many methods in matplotlib use the ``*args`` and ``**kwargs`` syntax
+to dynamically handle the keyword arguments that are accepted by the
+function, or to delegate on to another function.  This, however, is
+often not useful as a signature in the documentation.  For this
+reason, many matplotlib methods include something like::
+
+    def annotate(self, *args, **kwargs):
+        """
+        Create an annotation: a piece of text referring to a data
+        point.
+
+        Call signature::
+
+          annotate(s, xy, xytext=None, xycoords='data',
+                   textcoords='data', arrowprops=None, **kwargs)
+        """
+
+This can't be parsed by Sphinx, and is rather verbose in raw text.  As
+of Sphinx 1.1, if the ``autodoc_docstring_signature`` config value is
+set to True, Sphinx will extract a replacement signature from the
+first line of the docstring, allowing this::
+
+    def annotate(self, *args, **kwargs):
+        """
+        annotate(s, xy, xytext=None, xycoords='data',
+                   textcoords='data', arrowprops=None, **kwargs)
+
+        Create an annotation: a piece of text referring to a data
+        point.
+        """
+
+The explicit signature will replace the actual Python one in the
+generated documentation.
+
+Linking rather than duplicating
+-------------------------------
+
+Many of the docstrings include long lists of accepted keywords by
+interpolating things into the docstring at load time.  This makes the
+docstrings very long.  Also, since these tables are the same across
+many docstrings, it inserts a lot of redundant information in the docs
+-- particularly a problem in the printed version.
+
+These tables should be moved to docstrings on functions whose only
+purpose is for help.  The docstrings that refer to these tables should
+link to them, rather than including them verbatim.
+
+autosummary extension
+---------------------
+
+The Sphinx autosummary extension should be used to generate summary
+tables, that link to separate pages of documentation.  Some classes
+that have many methods (e.g. `~.axes.Axes`) should be documented with
+one method per page, whereas smaller classes should have all of their
+methods together.
+
+Examples linking to relevant documentation
+------------------------------------------
+
+The examples, while helpful at illustrating how to use a feature, do
+not link back to the relevant docstrings.  This could be addressed by
+adding module-level docstrings to the examples, and then including
+that docstring in the parsed content on the example page.  These
+docstrings could easily include references to any other part of the
+documentation.
+
+Documentation using help() vs. a browser
+----------------------------------------
+
+Using Sphinx markup in the source allows for good-looking docs in your
+browser, but the markup also makes the raw text returned using help()
+look terrible. One of the aims of improving the docstrings should be
+to make both methods of accessing the docs look good.
+
+Implementation
+==============
+
+1. The numpydoc extensions should be turned on for matplotlib.  There
+   is an important question as to whether these should be included in
+   the matplotlib source tree, or used as a dependency.  Installing
+   Numpy is not sufficient to get the numpydoc extensions -- it's a
+   separate install procedure.  In any case, to the extent that they
+   require customization for our needs, we should endeavor to submit
+   those changes upstream and not fork them.
+
+2. Manually go through all of the docstrings and update them to the
+   new format and conventions.  Updating the cross references (from
+   ```:func:`myfunc``` to ```func```) may be able to be
+   semi-automated.  This is a lot of busy work, and perhaps this labor
+   should be divided on a per-module basis so no single developer is
+   over-burdened by it.
+
+3. Reorganize the API docs using autosummary and ``sphinx-autogen``.
+   This should hopefully have minimal impact on the narrative
+   documentation.
+
+4. Modify the example page generator (:file:`gen_rst.py`) so that it
+   extracts the module docstring from the example and includes it in a
+   non-literal part of the example page.
+
+5. Use ``sphinx-quickstart`` to generate a new-style Sphinx Makefile.
+   The following features in the current :file:`make.py` will have to be
+   addressed in some other way:
+
+   - Copying of some static content
+
+   - Specifying a "small" build (only low-resolution PNG files for examples)
+
+Steps 1, 2, and 3 are interdependent.  4 and 5 may be done
+independently, though 5 has some dependency on 3.
+
+Backward compatibility
+======================
+
+As this mainly involves docstrings, there should be minimal impact on
+backward compatibility.
+
+Alternatives
+============
+
+None yet discussed.
diff --git a/doc/devel/MEP/MEP11.rst b/doc/devel/MEP/MEP11.rst
new file mode 100644
index 000000000000..aee44ae9a0e4
--- /dev/null
+++ b/doc/devel/MEP/MEP11.rst
@@ -0,0 +1,180 @@
+=================================
+ MEP11: Third-party dependencies
+=================================
+
+.. contents::
+   :local:
+
+This MEP attempts to improve the way in which third-party dependencies
+in matplotlib are handled.
+
+Status
+======
+
+**Completed** -- needs to be merged
+
+Branches and Pull requests
+==========================
+
+#1157: Use automatic dependency resolution
+
+#1290: Debundle pyparsing
+
+#1261: Update six to 1.2
+
+Abstract
+========
+
+One of the goals of matplotlib has been to keep it as easy to install
+as possible.  To that end, some third-party dependencies are included
+in the source tree and, under certain circumstances, installed
+alongside matplotlib.  This MEP aims to resolve some problems with
+that approach, bring some consistency, while continuing to make
+installation convenient.
+
+At the time that was initially done, setuptools_, easy_install_ and
+PyPI_ were not mature enough to be relied on.  However, at present,
+we should be able to safely leverage the "modern" versions of those
+tools, distribute_ and pip_.
+
+While matplotlib has dependencies on both Python libraries and C/C++
+libraries, this MEP addresses only the Python libraries so as to not
+confuse the issue.  C libraries represent a larger and mostly
+orthogonal set of problems.
+
+Detailed description
+====================
+
+matplotlib depends on the following third-party Python libraries:
+
+- Numpy
+- dateutil (pure Python)
+- pytz (pure Python)
+- six -- required by dateutil (pure Python)
+- pyparsing (pure Python)
+- PIL (optional)
+- GUI frameworks: pygtk, gobject, tkinter, PySide, PyQt4, wx (all
+  optional, but one is required for an interactive GUI)
+
+Current behavior
+----------------
+
+When installing from source, a :program:`git` checkout or pip_:
+
+- :file:`setup.py` attempts to ``import numpy``.  If this fails, the
+  installation fails.
+
+- For each of dateutil_, pytz_ and six_, :file:`setup.py` attempts to
+  import them (from the top-level namespace).  If that fails,
+  matplotlib installs its local copy of the library into the
+  top-level namespace.
+
+- pyparsing_ is always installed inside of the matplotlib
+  namespace.
+
+This behavior is most surprising when used with pip_, because no
+pip_ dependency resolution is performed, even though it is likely to
+work for all of these packages.
+
+The fact that pyparsing_ is installed in the matplotlib namespace has
+reportedly (#1290) confused some users into thinking it is a
+matplotlib-related module and import it from there rather than the
+top-level.
+
+When installing using the Windows installer, dateutil_, pytz_ and
+six_ are installed at the top-level *always*, potentially overwriting
+already installed copies of those libraries.
+
+TODO: Describe behavior with the OS-X installer.
+
+When installing using a package manager (Debian, RedHat, MacPorts
+etc.), this behavior actually does the right thing, and there are no
+special patches in the matplotlib packages to deal with the fact that
+we handle dateutil_, pytz_ and six_ in this way.  However, care
+should be taken that whatever approach we move to continues to work in
+that context.
+
+Maintaining these packages in the matplotlib tree and making sure they
+are up-to-date is a maintenance burden.  Advanced new features that
+may require a third-party pure Python library have a higher barrier to
+inclusion because of this burden.
+
+
+Desired behavior
+----------------
+
+Third-party dependencies are downloaded and installed from their
+canonical locations by leveraging pip_, distribute_ and PyPI_.
+
+dateutil_, pytz_, and pyparsing_ should be made into optional
+dependencies -- though obviously some features would fail if they
+aren't installed.  This will allow the user to decide whether they
+want to bother installing a particular feature.
+
+Implementation
+==============
+
+For installing from source, and assuming the user has all of the
+C-level compilers and dependencies, this can be accomplished fairly
+easily using distribute_ and following the instructions `here
+<https://pypi.org/project/distribute/>`_.  The only anticipated
+change to the matplotlib library code will be to import pyparsing_
+from the top-level namespace rather than from within matplotlib.  Note
+that distribute_ will also allow us to remove the direct dependency
+on six_, since it is, strictly speaking, only a direct dependency of
+dateutil_.
+
+For binary installations, there are a number of alternatives (here
+ordered from best/hardest to worst/easiest):
+
+1. The distutils wininst installer allows a post-install script to
+   run.  It might be possible to get this script to run pip_ to
+   install the other dependencies.  (See `this thread
+   <http://grokbase.com/t/python/distutils-sig/109bdnfhp4/distutils-ann-setuptools-post-install-script-for-bdist-wininst>`_
+   for someone who has trod that ground before).
+
+2. Continue to ship dateutil_, pytz_, six_ and pyparsing_ in
+   our installer, but use the post-install-script to install them
+   *only* if they cannot already be found.
+
+3. Move all of these packages inside a (new) ``matplotlib.extern``
+   namespace so it is clear for outside users that these are
+   external packages.  Add some conditional imports in the core
+   matplotlib codebase so dateutil_ (at the top-level) is tried
+   first, and failing that ``matplotlib.extern.dateutil`` is used.
+
+2 and 3 are undesirable as they still require maintaining copies of
+these packages in our tree -- and this is exacerbated by the fact that
+they are used less -- only in the binary installers.  None of these 3
+approaches address Numpy, which will still have to be manually
+installed using an installer.
+
+TODO: How does this relate to the Mac OS-X installer?
+
+Backward compatibility
+======================
+
+At present, matplotlib can be installed from source on a machine
+without the third party dependencies and without an internet
+connection.  After this change, an internet connection (and a working
+PyPI) will be required to install matplotlib for the first time.
+(Subsequent matplotlib updates or development work will run without
+accessing the network).
+
+Alternatives
+============
+
+Distributing binary eggs doesn't feel like a usable solution.  That
+requires getting easy_install_ installed first, and Windows users
+generally prefer the well known ``.exe`` or ``.msi`` installer that works
+out of the box.
+
+.. _PyPI: https://pypi.org
+.. _dateutil: https://pypi.org/project/python-dateutil/
+.. _distribute: https://pypi.org/project/distribute/
+.. _pip: https://pypi.org/project/pip/
+.. _pyparsing: https://pypi.org/project/pyparsing/
+.. _pytz: https://pypi.org/project/pytz/
+.. _setuptools: https://pypi.org/project/setuptools/
+.. _six: https://pypi.org/project/six/
+.. _easy_install: https://setuptools.readthedocs.io/en/latest/easy_install.html
diff --git a/doc/devel/MEP/MEP12.rst b/doc/devel/MEP/MEP12.rst
new file mode 100644
index 000000000000..109d0f3df1af
--- /dev/null
+++ b/doc/devel/MEP/MEP12.rst
@@ -0,0 +1,198 @@
+=====================================
+ MEP12: Improve Gallery and Examples
+=====================================
+.. contents::
+   :local:
+
+
+Status
+======
+
+**Progress**
+
+Initial changes added in 1.3. Conversion of the gallery is on-going.
+29 September 2015 - The last ``pylab_examples`` where ``pylab`` is imported has
+been converted over to use :mod:`matplotlib.pyplot` and `numpy`.
+
+Branches and Pull requests
+==========================
+
+#1623, #1924, #2181
+
+PR `#2474 <https://github.com/matplotlib/matplotlib/pull/2474>`_
+demonstrates a single example being cleaned up and moved to the
+appropriate section.
+
+Abstract
+========
+
+Reorganizing the matplotlib plot gallery would greatly simplify
+navigation of the gallery. In addition, examples should be cleaned-up
+and simplified for clarity.
+
+
+Detailed description
+====================
+
+The matplotlib gallery was recently set up to split examples up into
+sections.  As discussed in that PR [1]_, the current example sections
+(``api``, ``pylab_examples``) aren't terribly useful to users: New
+sections in the gallery would help users find relevant examples.
+
+These sections would also guide a cleanup of the examples: Initially,
+all the current examples would remain and be listed under their
+current directories.  Over time, these examples could be cleaned up
+and moved into one of the new sections.
+
+This process allows users to easily identify examples that need to be
+cleaned up; i.e. anything in the ``api`` and ``pylab_examples``
+directories.
+
+
+Implementation
+==============
+
+1. Create new gallery sections. [Done]
+2. Clean up examples and move them to the new gallery sections (over the course
+   of many PRs and with the help of many users/developers). [In progress]
+
+Gallery sections
+----------------
+
+The naming of sections is critical and will guide the clean-up
+effort. The current sections are:
+
+* Lines, bars, and markers (more-or-less 1D data)
+* Shapes and collections
+* Statistical plots
+* Images, contours, and fields
+* Pie and polar charts: Round things
+* Color
+* Text, labels, and annotations
+* Ticks and spines
+* Subplots, axes, and figures
+* Specialty plots (e.g., sankey, radar, tornado)
+* Showcase (plots with tweaks to make them publication-quality)
+* separate sections for toolboxes (already exists: 'mplot3d',
+  'axes_grid', 'units', 'widgets')
+
+These names are certainly up for debate. As these sections grow, we
+should reevaluate them and split them up as necessary.
+
+
+Clean up guidelines
+-------------------
+
+The current examples in the ``api`` and ``pylab_examples`` sections of
+the gallery would remain in those directories until they are cleaned
+up. After clean-up, they would be moved to one of the new gallery
+sections described above. "Clean-up" should involve:
+
+* `sphinx-gallery docstrings <https://sphinx-gallery.readthedocs.io/en/latest/>`_:
+  a title and a description of the example formatted as follows, at the top of
+  the example::
+
+    """
+    ===============================
+    Colormaps alter your perception
+    ===============================
+
+    Here I plot the function
+
+    .. math:: f(x, y) = \sin(x) + \cos(y)
+
+    with different colormaps. Look at how colormaps alter your perception!
+    """
+
+
+* PEP8_ clean-ups (running `flake8
+  <https://pypi.org/project/flake8/>`_, or a similar checker, is
+  highly recommended)
+* Commented-out code should be removed.
+* Replace uses of `pylab` interface with `.pyplot` (+ `numpy`,
+  etc.). See `c25ef1e
+  <https://github.com/tonysyu/matplotlib/commit/c25ef1e02b3a0ecb279492409dac0de9b3d2c0e2>`_
+* Remove shebang line, e.g.::
+
+      #!/usr/bin/env python
+
+* Use consistent imports. In particular::
+
+      import numpy as np
+
+      import matplotlib.pyplot as plt
+
+  Avoid importing specific functions from these modules (e.g. ``from
+  numpy import sin``)
+
+* Each example should focus on a specific feature (excluding
+  ``showcase`` examples, which will show more "polished"
+  plots). Tweaking unrelated to that feature should be removed. See
+  `f7b2217
+  <https://github.com/tonysyu/matplotlib/commit/f7b2217a1f92343e8aca0684d19c9915cc2e8674>`_,
+  `e57b5fc
+  <https://github.com/tonysyu/matplotlib/commit/e57b5fc31fbad83ed9c43c77ef15368efdcb9ec1>`_,
+  and `1458aa8
+  <https://github.com/tonysyu/matplotlib/commit/1458aa87c5eae9dd99e141956a6adf7a0f3c6707>`_
+
+Use of `pylab` should be demonstrated/discussed on a dedicated help
+page instead of the gallery examples.
+
+**Note:** When moving an existing example, you should search for
+references to that example.  For example, the API documentation for
+:file:`axes.py` and :file:`pyplot.py` may use these examples to generate
+plots. Use your favorite search tool (e.g., grep, ack, `grin
+<https://pypi.org/project/grin/>`_, `pss
+<https://pypi.org/project/pss/>`_) to search the matplotlib
+package. See `2dc9a46
+<https://github.com/tonysyu/matplotlib/commit/2dc9a4651e5e566afc0866c603aa8d06aaf32b71>`_
+and `aa6b410
+<https://github.com/tonysyu/matplotlib/commit/aa6b410f9fa085ccf5f4f962a6f26af5beeae7af>`_
+
+
+Additional suggestions
+~~~~~~~~~~~~~~~~~~~~~~
+
+* Provide links (both ways) between examples and API docs for the
+  methods/objects used. (issue `#2222
+  <https://github.com/matplotlib/matplotlib/issues/2222>`_)
+* Use ``plt.subplots`` (note trailing "s") in preference over
+  ``plt.subplot``.
+* Rename the example to clarify it's purpose. For example, the most
+  basic demo of ``imshow`` might be ``imshow_demo.py``, and one
+  demonstrating different interpolation settings would be
+  ``imshow_demo_interpolation.py`` (*not* ``imshow_demo2.py``).
+* Split up examples that try to do too much. See `5099675
+  <https://github.com/tonysyu/matplotlib/commit/509967518ce5ce5ba31edf12486ffaa344e748f2>`_
+  and `fc2ab07
+  <https://github.com/tonysyu/matplotlib/commit/fc2ab07cc586abba4c024d8c0d841c4357a3936f>`_
+* Delete examples that don't show anything new.
+* Some examples exercise esoteric features for unit testing. These
+  tweaks should be moved out of the gallery to an example in the
+  ``unit`` directory located in the root directory of the package.
+* Add plot titles to clarify intent of the example. See `bd2b13c
+  <https://github.com/tonysyu/matplotlib/commit/bd2b13c54bf4aa2058781b9a805d68f2feab5ba5>`_
+
+
+Backward compatibility
+======================
+
+The website for each Matplotlib version is readily accessible, so
+users who want to refer to old examples can still do so.
+
+
+Alternatives
+============
+
+Tags
+----
+
+Tagging examples will also help users search the example gallery. Although tags
+would be a big win for users with specific goals, the plot gallery will remain
+the entry point to these examples, and sections could really help users
+navigate the gallery. Thus, tags are complementary to this reorganization.
+
+
+.. _PEP8: https://www.python.org/dev/peps/pep-0008/
+
+.. [1] https://github.com/matplotlib/matplotlib/pull/714
diff --git a/doc/devel/MEP/MEP13.rst b/doc/devel/MEP/MEP13.rst
new file mode 100644
index 000000000000..b8b80f281b6e
--- /dev/null
+++ b/doc/devel/MEP/MEP13.rst
@@ -0,0 +1,198 @@
+=================================
+MEP13: Use properties for Artists
+=================================
+
+.. contents::
+   :local:
+
+Status
+======
+
+- **Discussion**
+
+Branches and Pull requests
+==========================
+
+None
+
+Abstract
+========
+
+Wrap all of the matplotlib getter and setter methods with python
+`properties
+<https://docs.python.org/3/library/functions.html#property>`_, allowing
+them to be read and written like class attributes.
+
+Detailed description
+====================
+
+Currently matplotlib uses getter and setter functions (usually
+prefixed with get\_ and set\_, respectively) for reading and writing
+data related to classes.  However, since 2.6 python supports
+properties, which allow such setter and getter functions to be
+accessed as though they were attributes.  This proposal would
+implement all existing setter and getter methods as properties.
+
+Implementation
+==============
+
+1. All existing getter and setter methods will need to have two
+   aliases, one with the get\_ or set\_ prefix and one without.
+   Getter methods that currently lack prefixes should be recording in
+   a text file.
+2. Classes should be reorganized so setter and getter methods are
+   sequential in the code, with getter methods first.
+3. Getter and setter methods that provide additional optional arguments should
+   have those arguments accessible in another manner, either as additional
+   getter or setter methods or attributes of other classes. If those classes
+   are not accessible, getters for them should be added.
+4. Property decorators will be added to the setter and getter methods
+   without the prefix.  Those with the prefix will be marked as
+   deprecated.
+5. Docstrings will need to be rewritten so the getter with the prefix
+   has the current docstring and the getter without the prefix has a
+   generic docstring appropriate for an attribute.
+6. Automatic alias generation will need to be modified so it will also
+   create aliases for the properties.
+7. All instances of getter and setter method calls will need to be
+   changed to attribute access.
+8. All setter and getter aliases with prefixes will be removed
+
+The following steps can be done simultaneously: 1, 2, and 3; 4 and 5;
+6 and 7.
+
+Only the following steps must be done in the same release: 4, 5,
+and 6.  All other changes can be done in separate releases.  8 should
+be done several macro releases after everything else.
+
+Backward compatibility
+======================
+
+All existing getter methods that do not have a prefix (such as get\_)
+will need to be changed from function calls to attribute access.  In
+most cases this will only require removing the parenthesis.
+
+setter and getter methods that have additional optional arguments will
+need to have those arguments implemented in another way, either as a
+separate property in the same class or as attributes or properties of
+another class.
+
+Cases where the setter returns a value will need to be changed to
+using the setter followed by the getter.
+
+Cases where there are set_ATTR_on() and set_ATTR_off() methods will be
+changed to ATTR_on properties.
+
+Examples
+========
+
+axes.Axes.set_axis_off/set_axis_on
+----------------------------------
+
+Current implementation: ::
+
+   axes.Axes.set_axis_off()
+   axes.Axes.set_axis_on()
+
+New implementation: ::
+
+   True = axes.Axes.axis_on
+   False = axes.Axes.axis_on
+   axes.Axes.axis_on = True
+   axes.Axes.axis_on = False
+
+axes.Axes.get_xlim/set_xlim and get_autoscalex_on/set_autoscalex_on
+-------------------------------------------------------------------
+
+Current implementation: ::
+
+    [left, right] = axes.Axes.get_xlim()
+    auto = axes.Axes.get_autoscalex_on()
+
+    [left, right] = axes.Axes.set_xlim(left=left, right=right, emit=emit, auto=auto)
+    [left, right] = axes.Axes.set_xlim(left=left, right=None, emit=emit, auto=auto)
+    [left, right] = axes.Axes.set_xlim(left=None, right=right, emit=emit, auto=auto)
+    [left, right] = axes.Axes.set_xlim(left=left, emit=emit, auto=auto)
+    [left, right] = axes.Axes.set_xlim(right=right, emit=emit, auto=auto)
+
+    axes.Axes.set_autoscalex_on(auto)
+
+New implementation: ::
+
+    [left, right] = axes.Axes.axes_xlim
+    auto = axes.Axes.autoscalex_on
+
+    axes.Axes.axes_xlim = [left, right]
+    axes.Axes.axes_xlim = [left, None]
+    axes.Axes.axes_xlim = [None, right]
+    axes.Axes.axes_xlim[0] = left
+    axes.Axes.axes_xlim[1] = right
+
+    axes.Axes.autoscalex_on = auto
+
+    axes.Axes.emit_xlim = emit
+
+axes.Axes.get_title/set_title
+-----------------------------
+
+Current implementation: ::
+
+    string = axes.Axes.get_title()
+    axes.Axes.set_title(string, fontdict=fontdict, **kwargs)
+
+New implementation: ::
+
+    string = axes.Axes.title
+    string = axes.Axes.title_text.text
+
+    text.Text = axes.Axes.title_text
+    text.Text.<attribute> = attribute
+    text.Text.fontdict = fontdict
+
+    axes.Axes.title = string
+    axes.Axes.title = text.Text
+    axes.Axes.title_text = string
+    axes.Axes.title_text = text.Text
+
+axes.Axes.get_xticklabels/set_xticklabels
+-----------------------------------------
+
+Current implementation: ::
+
+   [text.Text] = axes.Axes.get_xticklabels()
+   [text.Text] = axes.Axes.get_xticklabels(minor=False)
+   [text.Text] = axes.Axes.get_xticklabels(minor=True)
+   [text.Text] = axes.Axes.([string], fontdict=None, **kwargs)
+   [text.Text] = axes.Axes.([string], fontdict=None, minor=False, **kwargs)
+   [text.Text] = axes.Axes.([string], fontdict=None, minor=True, **kwargs)
+
+New implementation: ::
+
+   [text.Text] = axes.Axes.xticklabels
+   [text.Text] = axes.Axes.xminorticklabels
+   axes.Axes.xticklabels = [string]
+   axes.Axes.xminorticklabels = [string]
+   axes.Axes.xticklabels = [text.Text]
+   axes.Axes.xminorticklabels = [text.Text]
+
+Alternatives
+============
+
+Instead of using decorators, it is also possible to use the property
+function.  This would change the procedure so that all getter methods
+that lack a prefix will need to be renamed or removed.  This makes
+handling docstrings more difficult and harder to read.
+
+It is not necessary to deprecate the setter and getter methods, but
+leaving them in will complicate the code.
+
+This could also serve as an opportunity to rewrite or even remove
+automatic alias generation.
+
+Another alternate proposal:
+
+Convert ``set_xlim``, ``set_xlabel``, ``set_title``, etc. to ``xlim``,
+``xlabel``, ``title``,... to make the transition from ``plt``
+functions to ``axes`` methods significantly simpler. These would still
+be methods, not properties, but it's still a great usability
+enhancement while retaining the interface.
diff --git a/doc/devel/MEP/MEP14.rst b/doc/devel/MEP/MEP14.rst
new file mode 100644
index 000000000000..2c696adf8a58
--- /dev/null
+++ b/doc/devel/MEP/MEP14.rst
@@ -0,0 +1,425 @@
+====================
+MEP14: Text handling
+====================
+
+.. contents::
+   :local:
+
+
+Status
+======
+
+- **Discussion**
+
+Branches and Pull requests
+==========================
+
+Issue #253 demonstrates a bug where using the bounding box rather than
+the advance width of text results in misaligned text.  This is a minor
+point in the grand scheme of things, but it should be addressed as
+part of this MEP.
+
+Abstract
+========
+
+By reorganizing how text is handled, this MEP aims to:
+
+- improve support for Unicode and non-ltr languages
+- improve text layout (especially multi-line text)
+- allow support for more fonts, especially non-Apple-format TrueType
+  fonts and OpenType fonts.
+- make the font configuration easier and more transparent
+
+Detailed description
+====================
+
+**Text layout**
+
+At present, matplotlib has two different ways to render text:
+"built-in" (based on FreeType and our own Python code), and "usetex"
+(based on calling out to a TeX installation).  Adjunct to the
+"built-in" renderer there is also the Python-based "mathtext" system
+for rendering mathematical equations using a subset of the TeX
+language without having a TeX installation available.  Support for
+these two engines in strewn about many source files, including every
+backend, where one finds clauses like ::
+
+  if rcParams['text.usetex']: # do one thing else: # do another
+
+Adding a third text rendering approach (more on that later) would
+require editing all of these places as well, and therefore doesn't
+scale.
+
+Instead, this MEP proposes adding a concept of "text engines", where
+the user could select one of many different approaches for rendering
+text.  The implementations of each of these would be localized to
+their own set of modules, and not have little pieces around the whole
+source tree.
+
+Why add more text rendering engines?  The "built-in" text rendering
+has a number of shortcomings.
+
+- It only handles right-to-left languages, and doesn't handle many
+  special features of Unicode, such as combining diacriticals.
+- The multiline support is imperfect and only supports manual
+  line-breaking -- it cannot break up a paragraph into lines of a
+  certain length.
+- It also does not handle inline formatting changes in order to
+  support something like Markdown, reStructuredText or HTML.  (Though
+  rich-text formatting is contemplated in this MEP, since we want to
+  make sure this design allows it, the specifics of a rich-text
+  formatting implementation is outside of the scope of this MEP.)
+
+Supporting these things is difficult, and is the "full-time job" of a
+number of other projects:
+
+- pango_/harfbuzz_
+- QtTextLayout_
+- `Microsoft DirectWrite`_
+- `Apple Core Text`_
+
+.. _pango: https://pango.gnome.org
+.. _harfbuzz: https://github.com/harfbuzz/harfbuzz
+.. _QtTextLayout: https://doc.qt.io/archives/qt-4.8/qtextlayout.html
+.. _Microsoft DirectWrite: https://docs.microsoft.com/en-ca/windows/win32/directwrite/introducing-directwrite
+.. _Apple Core Text: https://developer.apple.com/library/archive/documentation/StringsTextFonts/Conceptual/CoreText_Programming/Overview/Overview.html
+
+Of the above options, it should be noted that harfbuzz_ is designed
+from the start as a cross platform option with minimal dependencies,
+so therefore is a good candidate for a single option to support.
+
+Additionally, for supporting rich text, we could consider using
+`WebKit <https://webkit.org/>`_, and possibly whether than
+represents a good single cross-platform option.  Again, however, rich
+text formatting is outside of the scope of this project.
+
+Rather than trying to reinvent the wheel and add these features to
+matplotlib's "built-in" text renderer, we should provide a way to
+leverage these projects to get more powerful text layout.  The
+"built-in" renderer will still need to exist for reasons of ease of
+installation, but its feature set will be more limited compared to the
+others.  [TODO: This MEP should clearly decide what those limited
+features are, and fix any bugs to bring the implementation into a
+state of working correctly in all cases that we want it to work.  I
+know @leejjoon has some thoughts on this.]
+
+**Font selection**
+
+Going from an abstract description of a font to a file on disk is the
+task of the font selection algorithm -- it turns out to be much more
+complicated than it seems at first.
+
+The "built-in" and "usetex" renderers have very different ways of
+handling font selection, given their different technologies.  TeX
+requires the installation of TeX-specific font packages, for example,
+and cannot use TrueType fonts directly.  Unfortunately, despite the
+different semantics for font selection, the same set of font
+properties are used for each.  This is true of both the
+`.FontProperties` class and the font-related `.rcParams` (which
+basically share the same code underneath).  Instead, we should define
+a core set of font selection parameters that will work across all text
+engines, and have engine-specific configuration to allow the user to
+do engine-specific things when required.  For example, it is possible
+to directly select a font by name in the "built-in" using
+:rc:`font.family`, but the same is not possible with "usetex".  It may be
+possible to make it easier to use TrueType fonts by using XeTeX, but
+users will still want to use the traditional metafonts through TeX
+font packages.  So the issue still stands that different text engines
+will need engine-specific configuration, and it should be more obvious
+to the user which configuration will work across text engines and
+which are engine-specific.
+
+Note that even excluding "usetex", there are different ways to find
+fonts.  The default is to use the font list cache in :mod:`.font_manager`
+which matches fonts using our own algorithm based on the `CSS font
+matching algorithm <http://www.w3.org/TR/CSS2/fonts.html#algorithm>`_.
+It doesn't always do the same thing as the native font selection
+algorithms on Linux (fontconfig_), Mac and
+Windows, and it doesn't always find all of the fonts on the system
+that the OS would normally pick up.  However, it is cross-platform,
+and always finds the fonts that ship with matplotlib.  The Cairo and
+MacOSX backends (and presumably a future HTML5-based backend)
+currently bypass this mechanism and use the OS-native ones.  The same
+is true when not embedding fonts in SVG, PS or PDF files and opening
+them in a third-party viewer.  A downside there is that (at least with
+Cairo, need to confirm with MacOSX) they don't always find the fonts
+we ship with matplotlib.  (It may be possible to add the fonts to
+their search path, though, or we may need to find a way to install our
+fonts to a location the OS expects to find them).
+
+.. _fontconfig: https://www.freedesktop.org/wiki/Software/fontconfig/
+
+There are also special modes in the PS and PDF to only use the core
+fonts that are always available to those formats.  There, the font
+lookup mechanism must only match against those fonts.  It is unclear
+whether the OS-native font lookup systems can handle this case.
+
+There is also experimental support for using fontconfig_ for font
+selection in matplotlib, turned off by default.  fontconfig is the
+native font selection algorithm on Linux, but is also cross platform
+and works well on the other platforms (though obviously is an
+additional dependency there).
+
+Many of the text layout libraries proposed above (pango, QtTextLayout,
+DirectWrite and CoreText etc.) insist on using the font selection
+library from their own ecosystem.
+
+All of the above seems to suggest that we should move away from our
+self-written font selection algorithm and use the native APIs where
+possible.  That's what Cairo and MacOSX backends already want to use,
+and it will be a requirement of any complex text layout library.  On
+Linux, we already have the bones of a fontconfig_ implementation
+(which could also be accessed through pango).  On Windows and Mac we
+may need to write custom wrappers.  The nice thing is that the API for
+font lookup is relatively small, and essentially consist of "given a
+dictionary of font properties, give me a matching font file".
+
+**Font subsetting**
+
+Font subsetting is currently handled using ttconv.  ttconv was a
+standalone commandline utility for converting TrueType fonts to
+subsetted Type 3 fonts (among other features) written in 1995, which
+matplotlib (well, I) forked in order to make it work as a library.  It
+only handles Apple-style TrueType fonts, not ones with the Microsoft
+(or other vendor) encodings.  It doesn't handle OpenType fonts at all.
+This means that even though the STIX fonts come as .otf files, we have
+to convert them to .ttf files to ship them with matplotlib.  The Linux
+packagers hate this -- they'd rather just depend on the upstream STIX
+fonts.  ttconv has also been shown to have a few bugs that have been
+difficult to fix over time.
+
+Instead, we should be able to use FreeType to get the font outlines
+and write our own code (probably in Python) to output subsetted fonts
+(Type 3 on PS and PDF and paths on SVG).  Freetype, as a popular and
+well-maintained project, handles a wide variety of fonts in the wild.
+This would remove a lot of custom C code, and remove some code
+duplication between backends.
+
+Note that subsetting fonts this way, while the easiest route, does
+lose the hinting in the font, so we will need to continue, as we do
+now, provide a way to embed the entire font in the file where
+possible.
+
+Alternative font subsetting options include using the subsetting
+built-in to Cairo (not clear if it can be used without the rest of
+Cairo), or using fontforge_ (which is a heavy and not terribly
+cross-platform dependency).
+
+.. _fontforge: https://fontforge.org
+
+**Freetype wrappers**
+
+Our FreeType wrapper could really use a reworking.  It defines its own
+image buffer class (when a Numpy array would be easier).  While
+FreeType can handle a huge diversity of font files, there are
+limitations to our wrapper that make it much harder to support
+non-Apple-vendor TrueType files, and certain features of OpenType
+files.  (See #2088 for a terrible result of this, just to support the
+fonts that ship with Windows 7 and 8).  I think a fresh rewrite of
+this wrapper would go a long way.
+
+**Text anchoring and alignment and rotation**
+
+The handling of baselines was changed in 1.3.0 such that the backends
+are now given the location of the baseline of the text, not the bottom
+of the text.  This is probably the correct behavior, and the MEP
+refactoring should also follow this convention.
+
+In order to support alignment on multi-line text, it should be the
+responsibility of the (proposed) text engine to handle text alignment.
+For a given chunk of text, each engine calculates a bounding box for
+that text and the offset of the anchor point within that box.
+Therefore, if the va of a block was "top", the anchor point would be
+at the top of the box.
+
+Rotating of text should always be around the anchor point.  I'm not
+sure that lines up with current behavior in matplotlib, but it seems
+like the sanest/least surprising choice.  [This could be revisited
+once we have something working].  Rotation of text should not be
+handled by the text engine -- that should be handled by a layer
+between the text engine and the rendering backend so it can be handled
+in a uniform way.  [I don't see any advantage to rotation being
+handled by the text engines individually...]
+
+There are other problems with text alignment and anchoring that should
+be resolved as part of this work.  [TODO: enumerate these].
+
+**Other minor problems to fix**
+
+The mathtext code has backend-specific code -- it should instead
+provide its output as just another text engine.  However, it's still
+desirable to have mathtext layout inserted as part of a larger layout
+performed by another text engine, so it should be possible to do this.
+It's an open question whether embedding the text layout of an
+arbitrary text engine in another should be possible.
+
+The text mode is currently set by a global rcParam ("text.usetex") so
+it's either all on or all off.  We should continue to have a global
+rcParam to choose the text engine ("text.layout_engine"), but it
+should under the hood be an overridable property on the `.Text` object,
+so the same figure can combine the results of multiple text layout
+engines if necessary.
+
+
+Implementation
+==============
+
+A concept of a "text engine" will be introduced.  Each text engine
+will implement a number of abstract classes.  The ``TextFont`` interface
+will represent text for a given set of font properties.  It isn't
+necessarily limited to a single font file -- if the layout engine
+supports rich text, it may handle a number of font files in a family.
+Given a ``TextFont`` instance, the user can get a ``TextLayout`` instance,
+which represents the layout for a given string of text in a given
+font.  From a ``TextLayout``, an iterator over ``TextSpan``\ s is returned
+so the engine can output raw editable text using as few spans as
+possible.  If the engine would rather get individual characters, they
+can be obtained from the ``TextSpan`` instance::
+
+
+  class TextFont(TextFontBase):
+      def __init__(self, font_properties):
+          """
+          Create a new object for rendering text using the given font properties.
+          """
+          pass
+
+      def get_layout(self, s, ha, va):
+          """
+          Get the TextLayout for the given string in the given font and
+          the horizontal (left, center, right) and verticalalignment (top,
+          center, baseline, bottom)
+          """
+          pass
+
+  class TextLayout(TextLayoutBase):
+      def get_metrics(self):
+          """
+          Return the bounding box of the layout, anchored at (0, 0).
+          """
+          pass
+
+      def get_spans(self):
+          """
+          Returns an iterator over the spans of different in the layout.
+          This is useful for backends that want to editable raw text as
+          individual lines.  For rich text where the font may change,
+          each span of different font type will have its own span.
+          """
+          pass
+
+      def get_image(self):
+          """
+          Returns a rasterized image of the text.  Useful for raster backends,
+          like Agg.
+
+          In all likelihood, this will be overridden in the backend, as it can
+          be created from get_layout(), but certain backends may want to
+          override it if their library provides it (as freetype does).
+          """
+          pass
+
+      def get_rectangles(self):
+          """
+          Returns an iterator over the filled black rectangles in the layout.
+          Used by TeX and mathtext for drawing, for example, fraction lines.
+          """
+          pass
+
+      def get_path(self):
+          """
+          Returns a single Path object of the entire laid out text.
+
+          [Not strictly necessary, but might be useful for textpath
+          functionality]
+          """
+          pass
+
+  class TextSpan(TextSpanBase):
+      x, y      # Position of the span -- relative to the text layout as a whole
+                # where (0, 0) is the anchor.  y is the baseline of the span.
+      fontfile  # The font file to use for the span
+      text      # The text content of the span
+
+      def get_path(self):
+          pass  # See TextLayout.get_path
+
+      def get_chars(self):
+          """
+          Returns an iterator over the characters in the span.
+          """
+          pass
+
+  class TextChar(TextCharBase):
+      x, y      # Position of the character -- relative to the text layout as
+                # a whole, where (0, 0) is the anchor.  y is in the baseline
+                # of the character.
+      codepoint # The unicode code point of the character -- only for informational
+                # purposes, since the mapping of codepoint to glyph_id may have been
+                # handled in a complex way by the layout engine.  This is an int
+                # to avoid problems on narrow Unicode builds.
+      glyph_id  # The index of the glyph within the font
+      fontfile  # The font file to use for the char
+
+      def get_path(self):
+          """
+          Get the path for the character.
+          """
+  pass
+
+
+Graphic backends that want to output subset of fonts would likely
+build up a file-global dictionary of characters where the keys are
+(fontname, glyph_id) and the values are the paths so that only one
+copy of the path for each character will be stored in the file.
+
+Special casing: The "usetex" functionality currently is able to get
+Postscript directly from TeX to insert directly in a Postscript file,
+but for other backends, parses a DVI file and generates something more
+abstract.  For a case like this, ``TextLayout`` would implement
+``get_spans`` for most backends, but add ``get_ps`` for the Postscript
+backend, which would look for the presence of this method and use it
+if available, or fall back to ``get_spans``.  This kind of special
+casing may also be necessary, for example, when the graphics backend
+and text engine belong to the same ecosystem, e.g. Cairo and Pango, or
+MacOSX and CoreText.
+
+There are three main pieces to the implementation:
+
+1) Rewriting the freetype wrapper, and removing ttconv.
+
+   a) Once (1) is done, as a proof of concept, we can move to the
+      upstream STIX .otf fonts
+
+   b) Add support for web fonts loaded from a remote URL.  (Enabled by using freetype for font subsetting).
+
+2) Refactoring the existing "builtin" and "usetex" code into separate text engines and to follow the API outlined above.
+
+3) Implementing support for advanced text layout libraries.
+
+
+(1) and (2) are fairly independent, though having (1) done first will
+allow (2) to be simpler.  (3) is dependent on (1) and (2), but even if
+it doesn't get done (or is postponed), completing (1) and (2) will
+make it easier to move forward with improving the "builtin" text
+engine.
+
+Backward compatibility
+======================
+
+The layout of text with respect to its anchor and rotation will change
+in hopefully small, but improved, ways.  The layout of multiline text
+will be much better, as it will respect horizontal alignment.  The
+layout of bidirectional text or other advanced Unicode features will
+now work inherently, which may break some things if users are
+currently using their own workarounds.
+
+Fonts will be selected differently.  Hacks that used to sort of work
+between the "builtin" and "usetex" text rendering engines may no
+longer work.  Fonts found by the OS that weren't previously found by
+matplotlib may be selected.
+
+Alternatives
+============
+
+TBD
diff --git a/doc/devel/MEP/MEP15.rst b/doc/devel/MEP/MEP15.rst
new file mode 100644
index 000000000000..8e2f80707429
--- /dev/null
+++ b/doc/devel/MEP/MEP15.rst
@@ -0,0 +1,55 @@
+=========================================================================
+ MEP15: Fix axis autoscaling when limits are specified for one axis only
+=========================================================================
+
+.. contents::
+   :local:
+
+Status
+======
+
+**Discussion**
+
+Branches and Pull requests
+==========================
+
+None so far.
+
+Abstract
+========
+
+When one Axis of a 2-dimensional plot is overridden via `~.Axes.set_xlim` or
+`~.Axes.set_ylim`, automatic scaling of the remaining Axis should be based on
+the data that falls within the specified limits of the first Axis.
+
+Detailed description
+====================
+
+When axis limits for a 2-D plot are specified for one axis only (via `~.Axes.set_xlim` or
+`~.Axes.set_ylim`), matplotlib currently does not currently rescale the other axis.  The
+result is that the displayed curves or symbols may be compressed into a tiny
+portion of the available area, so that the final plot conveys much less
+information than it would with appropriate axis scaling.
+
+The proposed change of behavior would make matplotlib choose the scale for the
+remaining axis using only the data that falls within the limits for the axis
+where limits were specified.
+
+Implementation
+==============
+
+I don't know enough about the internals of matplotlib to be able to suggest an
+implementation.
+
+Backward compatibility
+======================
+
+From the standpoint of software interfaces, there would be no break in
+backward compatibility.  Some outputs would be different, but if the user
+truly desires the previous behavior, he/she can achieve this by overriding
+the axis scaling for both axes.
+
+Alternatives
+============
+
+The only alternative that I can see is to maintain the status quo.
diff --git a/doc/devel/MEP/MEP19.rst b/doc/devel/MEP/MEP19.rst
new file mode 100644
index 000000000000..02ae0f9e7b95
--- /dev/null
+++ b/doc/devel/MEP/MEP19.rst
@@ -0,0 +1,193 @@
+===============================
+ MEP19: Continuous Integration
+===============================
+
+Status
+======
+
+**Completed**
+
+Branches and Pull requests
+==========================
+
+Abstract
+========
+
+matplotlib could benefit from better and more reliable continuous
+integration, both for testing and building installers and
+documentation.
+
+Detailed description
+====================
+
+Current state-of-the-art
+------------------------
+
+**Testing**
+
+matplotlib currently uses Travis-CI for automated tests.  While
+Travis-CI should be praised for how much it does as a free service, it
+has a number of shortcomings:
+
+- It often fails due to network timeouts when installing dependencies.
+
+- It often fails for inexplicable reasons.
+
+- build or test products can only be saved from build off of branches
+  on the main repo, not pull requests, so it is often difficult to
+  "post mortem" analyse what went wrong.  This is particularly
+  frustrating when the failure cannot be subsequently reproduced
+  locally.
+
+- It is not extremely fast.  matplotlib's cpu and memory requirements
+  for testing are much higher than the average Python project.
+
+- It only tests on Ubuntu Linux, and we have only minimal control over
+  the specifics of the platform.  It can be upgraded at any time
+  outside of our control, causing unexpected delays at times that may
+  not be convenient in our release schedule.
+
+On the plus side, Travis-CI's integration with github -- automatically
+testing all pending pull requests -- is exceptional.
+
+**Builds**
+
+There is no centralized effort for automated binary builds for
+matplotlib.  However, the following disparate things are being done
+[If the authors mentioned here could fill in detail, that would be
+great!]:
+
+- @sandrotosi: builds Debian packages
+
+- @takluyver: Has automated Ubuntu builds on Launchpad
+
+- @cgohlke: Makes Windows builds (don't know how automated that is)
+
+- @r-owen: Makes OS-X builds (don't know how automated that is)
+
+**Documentation**
+
+Documentation of main is now built by travis and uploaded to https://matplotlib.org/devdocs/index.html
+
+@NelleV, I believe, generates the docs automatically and posts them on
+the web to chart MEP10 progress.
+
+Peculiarities of matplotlib
+---------------------------
+
+matplotlib has complex requirements that make testing and building
+more taxing than many other Python projects.
+
+- The CPU time to run the tests is quite high.  It puts us beyond the
+  free accounts of many CI services (e.g. ShiningPanda)
+
+- It has a large number of dependencies, and testing the full matrix
+  of all combinations is impractical.  We need to be clever about what
+  space we test and guarantee to support.
+
+Requirements
+------------
+
+This section outlines the requirements that we would like to have.
+
+#. Testing all pull requests by hooking into the GitHub API, as
+   Travis-CI does
+
+#. Testing on all major platforms: Linux, Mac OS-X, MS Windows (in
+   that order of priority, based on user survey)
+
+#. Retain the last n days worth of build and test products, to aid in
+   post-mortem debugging.
+
+#. Automated nightly binary builds, so that users can test the
+   bleeding edge without installing a complete compilation
+   environment.
+
+#. Automated benchmarking.  It would be nice to have a standard
+   benchmark suite (separate from the tests) whose performance could
+   be tracked over time, in different backends and platforms.  While
+   this is separate from building and testing, ideally it would run on
+   the same infrastructure.
+
+#. Automated nightly building and publishing of documentation (or as
+   part of testing, to ensure PRs don't introduce documentation bugs).
+   (This would not replace the static documentation for stable
+   releases as a default).
+
+#. The test systems should be manageable by multiple developers, so
+   that no single person becomes a bottleneck.  (Travis-CI's design
+   does this well -- storing build configuration in the git
+   repository, rather than elsewhere, is a very good design.)
+
+#. Make it easy to test a large but sparse matrix of different
+   versions of matplotlib's dependencies.  The matplotlib user survey
+   provides some good data as to where to focus our efforts:
+   https://docs.google.com/spreadsheets/d/1jbK0J4cIkyBNncnS-gP7pINSliNy9lI-N4JHwxlNSXE/edit
+
+#. Nice to have: A decentralized design so that those with more
+   obscure platforms can publish build results to a central dashboard.
+
+Implementation
+==============
+
+This part is yet-to-be-written.
+
+However, ideally, the implementation would be a third-party service,
+to avoid adding system administration to our already stretched time.
+As we have some donated funds, this service may be a paid one if it
+offers significant time-saving advantages over free offerings.
+
+Backward compatibility
+======================
+
+Backward compatibility is not a major concern for this MEP.  We will
+replace current tools and procedures with something better and throw
+out the old.
+
+Alternatives
+============
+
+
+Hangout Notes
+=============
+
+CI Infrastructure
+-----------------
+
+- We like Travis and it will probably remain part of our arsenal in
+  any event.  The reliability issues are being looked into.
+
+- Enable Amazon S3 uploads of testing products on Travis.  This will
+  help with post-mortem of failures (@mdboom is looking into this
+  now).
+
+- We want Mac coverage.  The best bet is probably to push Travis to
+  enable it for our project by paying them for a Pro account (since
+  they don't otherwise allow testing on both Linux and Mac).
+
+- We want Windows coverage.  Shining Panda is an option there.
+
+- Investigate finding or building a tool that would collect and
+  synthesize test results from a number of sources and post it to
+  GitHub using the GitHub API.  This may be of general use to the
+  Scipy community.
+
+- For both Windows and Mac, we should document (or better yet, script)
+  the process of setting up the machine for a build, and how to build
+  binaries and installers.  This may require getting information from
+  Russel Owen and Christoph Gohlke.  This is a necessary step for
+  doing automated builds, but would also be valuable for a number of
+  other reasons.
+
+The test framework itself
+-------------------------
+
+- We should investigate ways to make it take less time
+
+  - Eliminating redundant tests, if possible
+
+  - General performance improvements to matplotlib will help
+
+- We should be covering more things, particularly more backends
+
+- We should have more unit tests, fewer integration tests, if possible
diff --git a/doc/devel/MEP/MEP21.rst b/doc/devel/MEP/MEP21.rst
new file mode 100644
index 000000000000..84744e7d6706
--- /dev/null
+++ b/doc/devel/MEP/MEP21.rst
@@ -0,0 +1,62 @@
+==============================
+ MEP21: color and cm refactor
+==============================
+
+.. contents::
+   :local:
+
+
+Status
+======
+
+- **Discussion**: This MEP has not commenced yet, but here are some
+  ongoing ideas which may become a part of this MEP:
+
+
+
+Branches and Pull requests
+==========================
+
+
+
+Abstract
+========
+
+
+* color
+
+  * tidy up the namespace
+  * Define a "Color" class
+  * make it easy to convert from one color type to another ```hex ->
+    RGB```, ```RGB -> hex```, ```HSV -> RGB``` etc.
+  * improve the construction of a colormap - the dictionary approach
+    is archaic and overly complex (though incredibly powerful)
+  * make it possible to interpolate between two or more color types
+    in different modes, especially useful for construction of
+    colormaps in HSV space for instance
+
+* cm
+
+  * rename the module to something more descriptive - mappables?
+
+
+Overall, there are a lot of improvements that can be made with
+matplotlib color handling - managing backwards compatibility will be
+difficult as there are some badly named variables/modules which really
+shouldn't exist - but a clear path and message for migration should be
+available, with a large amount of focus on this in the API changes
+documentation.
+
+
+Detailed description
+====================
+
+Implementation
+==============
+
+
+Backward compatibility
+======================
+
+Alternatives
+============
diff --git a/doc/devel/MEP/MEP22.rst b/doc/devel/MEP/MEP22.rst
new file mode 100644
index 000000000000..8f8fe69b41a6
--- /dev/null
+++ b/doc/devel/MEP/MEP22.rst
@@ -0,0 +1,209 @@
+========================
+ MEP22: Toolbar rewrite
+========================
+
+.. contents::
+   :local:
+
+Status
+======
+**Progress**
+
+
+Branches and Pull requests
+==========================
+
+Previous work:
+
+* https://github.com/matplotlib/matplotlib/pull/1849
+* https://github.com/matplotlib/matplotlib/pull/2557
+* https://github.com/matplotlib/matplotlib/pull/2465
+
+Pull Requests:
+
+* Removing the NavigationToolbar classes
+  https://github.com/matplotlib/matplotlib/pull/2740 **CLOSED**
+* Keeping the NavigationToolbar classes https://github.com/matplotlib/matplotlib/pull/2759 **CLOSED**
+* Navigation by events: https://github.com/matplotlib/matplotlib/pull/3652
+
+Abstract
+========
+
+The main goal of this MEP is to make it easier to modify (add, change,
+remove) the way the user interacts with the figures.
+
+The user interaction with the figure is deeply integrated within the
+Canvas and Toolbar. Making extremely difficult to do any modification.
+
+This MEP proposes the separation of this interaction into Toolbar,
+Navigation and Tools to provide independent access and
+reconfiguration.
+
+This approach will make easier to create and share tools among
+users. In the far future, we can even foresee a kind of Marketplace
+for ``Tool``\s where the most popular can be added into the main
+distribution.
+
+Detailed description
+====================
+
+The reconfiguration of the Toolbar is complex, most of the time it
+requires a custom backend.
+
+The creation of custom Tools sometimes interferes with the Toolbar, as
+example see https://github.com/matplotlib/matplotlib/issues/2694 also
+the shortcuts are hardcoded and again not easily modifiable
+https://github.com/matplotlib/matplotlib/issues/2699
+
+The proposed solution is to take the actions out of the ``Toolbar`` and the
+shortcuts out of the ``Canvas``. The actions and shortcuts will be in the form
+of ``Tool``\s.
+
+A new class ``Navigation`` will be the bridge between the events from the
+``Canvas`` and ``Toolbar`` and redirect them to the appropriate ``Tool``.
+
+At the end the user interaction will be divided into three classes:
+
+* NavigationBase: This class is instantiated for each FigureManager
+  and connect the all user interactions with the Tools
+* ToolbarBase: This existing class is relegated only as a GUI access
+  to Tools.
+* ToolBase: Is the basic definition of Tools.
+
+
+Implementation
+==============
+
+ToolBase(object)
+----------------
+
+Tools can have a graphical representation as the ``SubplotTool`` or not even be
+present in the Toolbar as ``Quit``.
+
+The `.ToolBase` has the following class attributes for configuration at definition time
+
+* keymap = None: Key(s) to be used to trigger the tool
+* description = '': Small description of the tool
+* image = None: Image that is used in the toolbar
+
+The following instance attributes are set at instantiation:
+
+* name
+* navigation
+
+Methods
+~~~~~~~
+
+* ``trigger(self, event)``: This is the main method of the Tool, it is called
+  when the Tool is triggered by:
+
+  * Toolbar button click
+  * keypress associated with the Tool Keymap
+  * Call to navigation.trigger_tool(name)
+
+* ``set_figure(self, figure)``: Set the figure and navigation attributes
+* ``destroy(self, *args)``: Destroy the ``Tool`` graphical interface (if
+  exists)
+
+Available Tools
+~~~~~~~~~~~~~~~
+
+* ToolQuit
+* ToolEnableAllNavigation
+* ToolEnableNavigation
+* ToolToggleGrid
+* ToolToggleFullScreen
+* ToolToggleYScale
+* ToolToggleXScale
+* ToolHome
+* ToolBack
+* ToolForward
+* SaveFigureBase
+* ConfigureSubplotsBase
+
+ToolToggleBase(ToolBase)
+------------------------
+
+The `.ToolToggleBase` has the following class attributes for
+configuration at definition time
+
+* radio_group = None: Attribute to group 'radio' like tools (mutually
+  exclusive)
+* cursor = None: Cursor to use when the tool is active
+
+The **Toggleable** Tools, can capture keypress, mouse moves, and mouse
+button press
+
+Methods
+~~~~~~~
+
+* ``enable(self, event)``: Called by `.ToolToggleBase.trigger` method
+* ``disable(self, event)``: Called when the tool is untoggled
+* ``toggled``: **Property** True or False
+
+Available Tools
+~~~~~~~~~~~~~~~
+
+* ToolZoom
+* ToolPan
+
+NavigationBase
+--------------
+
+Defines the following attributes:
+
+* canvas:
+* keypresslock: Lock to know if the ``canvas`` ``key_press_event`` is
+  available and process it
+* messagelock: Lock to know if the message is available to write
+
+Methods (intended for the end user)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+* ``nav_connect(self, s, func)``: Connect to navigation for events
+* ``nav_disconnect(self, cid)``: Disconnect from navigation event
+* ``message_event(self, message, sender=None)``: Emit a
+  tool_message_event event
+* ``active_toggle(self)``: **Property** The currently toggled tools or
+  None
+* ``get_tool_keymap(self, name)``: Return a list of keys that are
+  associated with the tool
+* ``set_tool_keymap(self, name, ``*keys``)``: Set the keys for the given tool
+* ``remove_tool(self, name)``: Removes tool from the navigation control.
+* ``add_tools(self, tools)``: Add multiple tools to ``Navigation``
+* ``add_tool(self, name, tool, group=None, position=None)``: Add a tool
+  to the ``Navigation``
+* ``tool_trigger_event(self, name, sender=None, canvasevent=None,
+  data=None)``: Trigger a tool and fire the event
+* ``tools``:  **Property** A dict with available tools with
+  corresponding keymaps, descriptions and objects
+* ``get_tool(self, name)``: Return the tool object
+
+ToolbarBase
+-----------
+
+Methods (for backend implementation)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+* ``add_toolitem(self, name, group, position, image, description, toggle)``:
+  Add a toolitem to the toolbar. This method is a callback from
+  ``tool_added_event`` (emitted by navigation)
+* ``set_message(self, s)``: Display a message on toolbar or in status bar
+* ``toggle_toolitem(self, name)``: Toggle the toolitem without firing event.
+* ``remove_toolitem(self, name)``: Remove a toolitem from the ``Toolbar``
+
+
+Backward compatibility
+======================
+
+For backward compatibility added 'navigation' to the list of values
+supported by :rc:`toolbar`, that is used for ``Navigation`` classes
+instantiation instead of the NavigationToolbar classes
+
+With this parameter, it makes it transparent to anyone using the
+existing backends.
+
+[@pelson comment: This also gives us an opportunity to avoid needing
+to implement all of this in the same PR - some backends can
+potentially exist without the new functionality for a short while (but
+it must be done at some point).]
diff --git a/doc/devel/MEP/MEP23.rst b/doc/devel/MEP/MEP23.rst
new file mode 100644
index 000000000000..ec56f362c867
--- /dev/null
+++ b/doc/devel/MEP/MEP23.rst
@@ -0,0 +1,120 @@
+========================================
+ MEP23: Multiple Figures per GUI window
+========================================
+
+.. contents::
+   :local:
+
+
+
+Status
+======
+
+**Discussion**
+
+Branches and Pull requests
+==========================
+
+**Previous work**
+- https://github.com/matplotlib/matplotlib/pull/2465 **To-delete**
+
+
+Abstract
+========
+
+Add the possibility to have multiple figures grouped under the same
+`~.backend_template.FigureManager`
+
+Detailed description
+====================
+
+Under the current structure, every canvas has its own window.
+
+This is and may continue to be the desired method of operation for
+most use cases.
+
+Sometimes when there are too many figures open at the same time, it is
+desirable to be able to group these under the same window. See :ghpull:`2194`.
+
+
+The proposed solution modifies `.FigureManagerBase` to contain and manage more
+than one ``Canvas``. The ``backend.multifigure`` rcParam controls when the
+**MultiFigure** behaviour is desired.
+
+**Note**
+
+It is important to note, that the proposed solution, assumes that the
+`MEP22 <https://github.com/matplotlib/matplotlib/wiki/Mep22>`_. is
+already in place. This is simply because the actual implementation of
+the ``Toolbar`` makes it pretty hard to switch between canvases.
+
+Implementation
+==============
+
+The first implementation will be done in GTK3 using a Notebook as
+canvas container.
+
+``FigureManagerBase``
+---------------------
+
+will add the following new methods
+
+* ``add_canvas``: To add a canvas to an existing
+  `~.backend_template.FigureManager` object
+* ``remove_canvas``: To remove a canvas from a
+  `~.backend_template.FigureManager` object, if it is the last one, it will be
+  destroyed
+* ``move_canvas``: To move a canvas from one `~.backend_template.FigureManager`
+  to another.
+* ``set_canvas_title``: To change the title associated with a specific
+  canvas container
+* ``get_canvas_title``: To get the title associated with a specific
+  canvas container
+* ``get_active_canvas``: To get the canvas that is in the foreground and
+  is subject to the gui events. There is no ``set_active_canvas``
+  because the active canvas, is defined when ``show`` is called on a
+  ``Canvas`` object.
+
+``new_figure_manager``
+----------------------
+
+To control which `~.backend_template.FigureManager` will contain the new
+figures, an extra optional parameter *figuremanager* will be added, this
+parameter value will be passed to ``new_figure_manager_given_figure``.
+
+``new_figure_manager_given_figure``
+-----------------------------------
+
+* If *figuremanager* parameter is given, this
+  `~.backend_template.FigureManager` object will be used instead of creating a
+  new one.
+* If ``rcParams['backend.multifigure']`` is True: The last
+  `~.backend_template.FigureManager` object will be used instead of creating a
+  new one.
+
+``NavigationBase``
+------------------
+
+Modifies the ``NavigationBase`` to keep a list of canvases, directing the
+actions to the active one.
+
+Backward compatibility
+======================
+
+For the **MultiFigure** properties to be visible, the user has to
+activate them directly setting ``rcParams['backend.multifigure'] =
+True``
+
+It should be backwards compatible for backends that adhere to the
+current `.FigureManagerBase` structure even if they have not
+implemented the **MultiFigure** magic yet.
+
+
+Alternatives
+============
+
+Instead of modifying the `.FigureManagerBase` it could be possible to add
+a parallel class, that handles the cases where
+``rcParams['backend.multifigure'] = True``.  This will warranty that
+there won't be any problems with custom made backends, but also makes
+bigger the code, and more things to maintain.
diff --git a/doc/devel/MEP/MEP24.rst b/doc/devel/MEP/MEP24.rst
new file mode 100644
index 000000000000..b0620ce3dc8f
--- /dev/null
+++ b/doc/devel/MEP/MEP24.rst
@@ -0,0 +1,51 @@
+=======================================
+ MEP24: Negative radius in polar plots
+=======================================
+
+.. contents::
+   :local:
+
+
+
+Status
+======
+*Discussion*
+
+Branches and Pull requests
+==========================
+
+None
+
+Abstract
+========
+
+It is clear that polar plots need to be able to gracefully handle
+negative r values (not by clipping or reflection).
+
+Detailed description
+====================
+
+One obvious application that we should support is bB plots (see
+https://github.com/matplotlib/matplotlib/issues/1730#issuecomment-40815837),
+but this seems more generally useful (for example growth rate as a
+function of angle).  The assumption in the current code (as I
+understand it) is that the center of the graph is ``r==0``, however it
+would be good to be able to set the center to be at any ``r`` (with any
+value less than the offset clipped).
+
+Implementation
+==============
+
+
+Related Issues
+==============
+#1730, #1603, #2203, #2133
+
+
+
+Backward compatibility
+======================
+
+
+Alternatives
+============
diff --git a/doc/devel/MEP/MEP25.rst b/doc/devel/MEP/MEP25.rst
new file mode 100644
index 000000000000..7f0298210a9b
--- /dev/null
+++ b/doc/devel/MEP/MEP25.rst
@@ -0,0 +1,168 @@
+
+MEP25: Serialization
+====================
+.. contents::
+   :local:
+
+Status
+------
+
+**Rejected**
+
+This work is important, but this particular effort has stalled.
+
+Branches and Pull requests
+--------------------------
+
+* development branches:
+
+* related pull requests:
+
+Abstract
+--------
+
+This MEP aims at adding a serializable ``Controller`` objects to act
+as an ``Artist`` managers. Users would then communicate changes to an
+``Artist`` via a ``Controller``. In this way, functionality of the
+``Controller`` objects may be added incrementally since each
+``Artist`` is still responsible for drawing everything. The goal is to
+create an API that is usable both by graphing libraries requiring
+high-level descriptions of figures and libraries requiring low-level
+interpretations.
+
+Detailed description
+--------------------
+
+Matplotlib is a core plotting engine with an API that many users
+already understand. It's difficult/impossible for other graphing
+libraries to (1) get a complete figure description, (2) output raw
+data from the figure object as the user has provided it, (3)
+understand the semantics of the figure objects without heuristics,
+and (4) give matplotlib a complete figure description to visualize. In
+addition, because an ``Artist`` has no conception of its own semantics
+within the figure, it's difficult to interact with them in a natural
+way.
+
+In this sense, matplotlib will adopt a standard
+Model-View-Controller (MVC) framework. The *Model* will be the user
+defined data, style, and semantics. The *Views* are the ensemble of
+each individual ``Artist``, which are responsible for producing the
+final image based on the *model*. The *Controller* will be the
+``Controller`` object managing its set of ``Artist`` objects.
+
+The ``Controller`` must be able to export the information that it's
+carrying about the figure on command, perhaps via a ``to_json`` method
+or similar. Because it would be extremely extraneous to duplicate all
+of the information in the model with the controller, only
+user-specified information (data + style) are explicitly kept. If a
+user wants more information (defaults) from the view/model, it should
+be able to query for it.
+
+- This might be annoying to do, non-specified kwargs are pulled from
+  the rcParams object which is in turn created from reading a user
+  specified file and can be dynamically changed at run time.  I
+  suppose we could keep a dict of default defaults and compare against
+  that. Not clear how this will interact with the style sheet
+  [[MEP26]] - @tacaswell
+
+Additional Notes:
+
+* The "raw data" does not necessarily need to be a ``list``,
+  ``ndarray``, etc. Rather, it can more abstractly just have a method
+  to yield data when needed.
+
+* Because the ``Controller`` will contain extra information that users
+  may not want to keep around, it should *not* be created by
+  default. You should be able to both (a) instantiate a ``Controller``
+  with a figure and (b) build a figure with a ``Controller``.
+
+Use Cases:
+
+* Export all necessary informat
+* Serializing a matplotlib figure, saving it, and being able to rerun later.
+* Any other source sending an appropriately formatted representation to matplotlib to open
+
+Examples
+--------
+Here are some examples of what the controllers should be able to do.
+
+1. Instantiate a matplotlib figure from a serialized representation (e.g., JSON): ::
+
+    import json
+    from matplotlib.controllers import Controller
+    with open('my_figure') as f:
+        o = json.load(f)
+    c = Controller(o)
+    fig = c.figure
+
+2. Manage artists from the controller (e.g., Line2D): ::
+
+    # not really sure how this should look
+    c.axes[0].lines[0].color = 'b'
+    # ?
+
+3. Export serializable figure representation: ::
+
+    o = c.to_json()
+    # or... we should be able to throw a figure object in there too
+    o = Controller.to_json(mpl_fig)
+
+Implementation
+--------------
+
+1. Create base ``Controller`` objects that are able to manage
+   ``Artist`` objects (e.g., ``Hist``)
+
+   Comments:
+
+   * initialization should happen via unpacking ``**``, so we need a
+     copy of call signature parameter for the ``Artist`` we're
+     ultimately trying to control. Unfortunate hard-coded
+     repetition...
+   * should the additional ``**kwargs`` accepted by each ``Artist``
+     be tracked at the ``Controller``
+   * how does a ``Controller`` know which artist belongs where? E.g.,
+     do we need to pass ``axes`` references?
+
+   Progress:
+
+   * A simple NB demonstrating some functionality for
+     ``Line2DController`` objects:
+     https://nbviewer.jupyter.org/gist/theengineear/f0aa8d79f64325e767c0
+
+2. Write in protocols for the ``Controller`` to *update* the model.
+
+   Comments:
+
+   * how should containers be dealt with? E.g., what happens to old
+     patches when we re-bin a histogram?
+   * in the link from (1), the old line is completely destroyed and
+     redrawn, what if something is referencing it?
+
+3. Create method by which a json object can be assembled from the
+   ``Controllers``
+4. Deal with serializing the unserializable aspects of a figure (e.g.,
+   non-affine transforms?)
+5. Be able to instantiate from a serialized representation
+6. Reimplement the existing pyplot and Axes method,
+   e.g. ``pyplot.hist`` and ``Axes.hist`` in terms of the new
+   controller class.
+
+> @theengineer: in #2 above, what do you mean by *get updates* from
+each ``Artist``?
+
+^ Yup. The ``Controller`` *shouldn't* need to get updated. This just
+happens in #3. Delete comments when you see this.
+
+Backward compatibility
+----------------------
+
+* pickling will change
+* non-affine transformations will require a defined pickling method
+
+Alternatives
+------------
+
+PR #3150 suggested adding semantics by parasitically attaching extra
+containers to axes objects. This is a more complete solution with what
+should be a more developed/flexible/powerful framework.
diff --git a/doc/devel/MEP/MEP26.rst b/doc/devel/MEP/MEP26.rst
new file mode 100644
index 000000000000..9d3af8f8c703
--- /dev/null
+++ b/doc/devel/MEP/MEP26.rst
@@ -0,0 +1,231 @@
+=======================
+ MEP26: Artist styling
+=======================
+
+.. contents::
+   :local:
+
+
+Status
+======
+
+**Rejected**
+
+Branches and Pull requests
+==========================
+
+Abstract
+========
+
+This MEP proposes a new stylesheet implementation to allow more
+comprehensive and dynamic styling of artists.
+
+The current version of matplotlib (1.4.0) allows stylesheets based on
+the rcParams syntax to be applied before creation of a plot.  The
+methodology below proposes a new syntax, based on CSS, which would
+allow styling of individual artists and properties, which can be
+applied dynamically to existing objects.
+
+This is related to (and makes steps toward) the overall goal of moving
+to a DOM/tree-like architecture.
+
+
+Detailed description
+====================
+
+Currently, the look and appearance of existing artist objects (figure,
+axes, Line2D, etc.) can only be updated via ``set_`` and ``get_`` methods
+on the artist object, which is quite laborious, especially if no
+reference to the artist(s) has been stored.  The new style sheets
+introduced in 1.4 allow styling before a plot is created, but do not
+offer any means to dynamically update plots or distinguish between
+artists of the same type (i.e. to specify the ``line color`` and ``line
+style`` separately for differing `.Line2D` objects).
+
+The initial development should concentrate on allowing styling of
+artist primitives (those `.Artist`\s that do not contain other
+`.Artist`\s), and further development could expand the CSS syntax rules
+and parser to allow more complex styling. See the appendix for a list
+of primitives.
+
+The new methodology would require development of a number of steps:
+
+- A new stylesheet syntax (likely based on CSS) to allow selection of
+  artists by type, class, id, etc.
+- A mechanism by which to parse a stylesheet into a tree
+- A mechanism by which to translate the parse-tree into something
+  which can be used to update the properties of relevant
+  artists. Ideally this would implement a method by which to traverse
+  the artists in a tree-like structure.
+- A mechanism by which to generate a stylesheet from existing artist
+  properties. This would be useful to allow a user to export a
+  stylesheet from an existing figure (where the appearance may have
+  been set using the matplotlib API)...
+
+Implementation
+==============
+
+It will be easiest to allow a '3rd party' to modify/set the style of an artist
+if the 'style' is created as a separate class and store against the artist as a
+property.  The `.GraphicsContextBase` class already provides a the basis of a
+``Style`` class and an artist's `~.Artist.draw` method can be refactored to use
+the ``Style`` class rather than setting up its own `.GraphicsContextBase` and
+transferring its style-related properties to it.  A minimal example of how this
+could be implemented is shown here: https://github.com/JamesRamm/mpl_experiment
+
+IMO, this will also make the API and code base much neater as
+individual get/set methods for artist style properties are now
+redundant...  Indirectly related would be a general drive to replace
+get/set methods with properties. Implementing the style class with
+properties would be a big stride toward this...
+
+For initial development, I suggest developing a syntax based on a much
+(much much) simplified version of CSS. I am in favour of dubbing this
+Artist Style Sheets :+1: :
+
+BNF Grammar
+-----------
+
+I propose a very simple syntax to implement initially (like a proof of
+concept), which can be expanded upon in the future. The BNF form of
+the syntax is given below and then explained ::
+
+    RuleSet ::= SelectorSequence "{"Declaration"}"
+
+    SelectorSequence :: = Selector {"," Selector}
+
+    Declaration ::= propName":" propValue";"
+
+    Selector ::= ArtistIdent{"#"Ident}
+
+    propName ::= Ident
+
+    propValue ::= Ident | Number | Colour | "None"
+
+``ArtistIdent``, ``Ident``, ``Number`` and ``Colour`` are tokens (the basic
+building blocks of the expression) which are defined by regular
+expressions.
+
+Syntax
+------
+
+A CSS stylesheet consists of a series of **rule sets** in hierarchical
+order (rules are applied from top to bottom). Each rule follows the
+syntax ::
+
+    selector {attribute: value;}
+
+Each rule can have any number of ``attribute: value`` pairs, and a
+stylesheet can have any number of rules.
+
+The initial syntax is designed only for `.Artist` primitives. It does
+not address the question of how to set properties on `.Container` types
+(whose properties may themselves be `.Artist`\s with settable
+properties), however, a future solution to this could simply be nested
+``RuleSet``\s
+
+Selectors
+~~~~~~~~~
+
+
+Selectors define the object to which the attribute updates should be
+applied. As a starting point, I propose just 2 selectors to use in
+initial development:
+
+
+
+Artist Type Selector
+
+
+Select an `.Artist` by it's type. E.g `.Line2D` or `.Text`::
+
+    Line2D {attribute: value}
+
+The regex for matching the artist type selector (``ArtistIdent`` in the BNF grammar) would be::
+
+    ArtistIdent = r'(?P<ArtistIdent>\bLine2D\b|\bText\b|\bAxesImage\b|\bFigureImage\b|\bPatch\b)'
+
+GID selector
+~~~~~~~~~~~~
+
+Select an `.Artist` by its ``gid``::
+
+    Line2D#myGID {attribute: value}
+
+A ``gid`` can be any string, so the regex could be as follows::
+
+    Ident = r'(?P<Ident>[a-zA-Z_][a-zA-Z_0-9]*)'
+
+
+The above selectors roughly correspond to their CSS counterparts
+(http://www.w3.org/TR/CSS21/selector.html)
+
+Attributes and values
+~~~~~~~~~~~~~~~~~~~~~
+
+- ``Attributes`` are any valid (settable) property for the `.Artist` in question.
+- ``Values`` are any valid value for the property (Usually a string, or number).
+
+Parsing
+-------
+
+Parsing would consist of breaking the stylesheet into tokens (the
+python cookbook gives a nice tokenizing recipe on page 66), applying
+the syntax rules and constructing a ``Tree``. This requires defining the
+grammar of the stylesheet (again, we can borrow from CSS) and writing
+a parser. Happily, there is a recipe for this in the python cookbook
+as well.
+
+
+Visitor pattern for matplotlib figure
+-------------------------------------
+
+In order to apply the stylesheet rules to the relevant artists, we
+need to 'visit' each artist in a figure and apply the relevant rule.
+Here is a visitor class (again, thanks to python cookbook), where each
+``node`` would be an artist in the figure. A ``visit_`` method would need
+to be implemented for each mpl artist, to handle the different
+properties for each ::
+
+    class Visitor:
+        def visit(self, node):
+           name = 'visit_' + type(node).__name__
+           meth = getattr(self, name, None)
+           if meth is None:
+              raise NotImplementedError
+           return meth(node)
+
+An ``evaluator`` class would then take the stylesheet rules and
+implement the visitor on each one of them.
+
+
+
+Backward compatibility
+======================
+
+Implementing a separate ``Style`` class would break backward
+compatibility as many get/set methods on an artist would become
+redundant.  While it would be possible to alter these methods to hook
+into the ``Style`` class (stored as a property against the artist), I
+would be in favor of simply removing them to both neaten/simplify the
+codebase and to provide a simple, uncluttered API...
+
+Alternatives
+============
+
+No alternatives, but some of the ground covered here overlaps with
+MEP25, which may assist in this development
+
+Appendix
+========
+
+Matplotlib primitives
+---------------------
+
+This will form the initial selectors which stylesheets can use.
+
+* Line2D
+* Text
+* AxesImage
+* FigureImage
+* Patch
diff --git a/doc/devel/MEP/MEP27.rst b/doc/devel/MEP/MEP27.rst
new file mode 100644
index 000000000000..caf032c5c22d
--- /dev/null
+++ b/doc/devel/MEP/MEP27.rst
@@ -0,0 +1,221 @@
+======================================
+ MEP27: Decouple pyplot from backends
+======================================
+
+.. contents::
+   :local:
+
+
+Status
+======
+**Progress**
+
+Branches and Pull requests
+==========================
+Main PR (including GTK3):
+
++ https://github.com/matplotlib/matplotlib/pull/4143
+
+Backend specific branch diffs:
+
++ https://github.com/OceanWolf/matplotlib/compare/backend-refactor...OceanWolf:backend-refactor-tkagg
++ https://github.com/OceanWolf/matplotlib/compare/backend-refactor...OceanWolf:backend-refactor-qt
++ https://github.com/OceanWolf/matplotlib/compare/backend-refactor...backend-refactor-wx
+
+Abstract
+========
+
+This MEP refactors the backends to give a more structured and
+consistent API, removing generic code and consolidate existing code.
+To do this we propose splitting:
+
+1. ``FigureManagerBase`` and its derived classes into the core
+   functionality class ``FigureManager`` and a backend specific class
+   ``WindowBase`` and
+2. ``ShowBase`` and its derived classes into ``Gcf.show_all`` and ``MainLoopBase``.
+
+Detailed description
+====================
+
+This MEP aims to consolidate the backends API into one single uniform
+API, removing generic code out of the backend (which includes
+``_pylab_helpers`` and ``Gcf``), and push code to a more appropriate
+level in matplotlib.  With this we automatically remove
+inconsistencies that appear in the backends, such as
+``FigureManagerBase.resize(w, h)`` which sometimes sets the canvas,
+and other times set the entire window to the dimensions given,
+depending on the backend.
+
+Two main places for generic code appear in the classes derived from
+``FigureManagerBase`` and ``ShowBase``.
+
+1. ``FigureManagerBase`` has **three** jobs at the moment:
+
+   1. The documentation describes it as a *Helper class for pyplot
+      mode, wraps everything up into a neat bundle*
+   2. But it doesn't just wrap the canvas and toolbar, it also does
+      all of the windowing tasks itself.  The conflation of these two
+      tasks gets seen the best in the following line:
+      ``self.set_window_title("Figure %d" % num)`` This combines
+      backend specific code ``self.set_window_title(title)`` with
+      matplotlib generic code ``title = "Figure %d" % num``.
+   3. Currently the backend specific subclass of ``FigureManager``
+      decides when to end the mainloop.  This also seems very wrong
+      as the figure should have no control over the other figures.
+
+
+2. ``ShowBase`` has two jobs:
+
+   1. It has the job of going through all figure managers registered
+      in ``_pylab_helpers.Gcf`` and telling them to show themselves.
+   2. And secondly it has the job of performing the backend specific
+      ``mainloop`` to block the main programme and thus keep the
+      figures from dying.
+
+Implementation
+==============
+
+The description of this MEP gives us most of the solution:
+
+1. To remove the windowing aspect out of ``FigureManagerBase`` letting
+   it simply wrap this new class along with the other backend classes.
+   Create a new ``WindowBase`` class that can handle this
+   functionality, with pass-through methods (:arrow_right:) to
+   ``WindowBase``.  Classes that subclass ``WindowBase`` should also
+   subclass the GUI specific window class to ensure backward
+   compatibility (``manager.window == manager.window``).
+2. Refactor the mainloop of ``ShowBase`` into ``MainLoopBase``, which
+   encapsulates the end of the loop as well.  We give an instance of
+   ``MainLoop`` to ``FigureManager`` as a key unlock the exit method
+   (requiring all keys returned before the loop can die).  Note this
+   opens the possibility for multiple backends to run concurrently.
+3. Now that ``FigureManagerBase`` has no backend specifics in it, to
+   rename it to ``FigureManager``, and move to a new file
+   ``backend_managers.py`` noting that:
+
+   1. This allows us to break up the conversion of backends into
+      separate PRs as we can keep the existing ``FigureManagerBase``
+      class and its dependencies intact.
+   2. And this also anticipates MEP22 where the new
+      ``NavigationBase`` has morphed into a backend independent
+      ``ToolManager``.
+
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|FigureManagerBase(canvas, num)        |FigureManager(figure, num)    |``WindowBase(title)``|Notes                           |
+|                                      |                              |                     |                                |
++======================================+==============================+=====================+================================+
+|show                                  |                              |show                 |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|destroy                               |calls destroy on all          |destroy              |                                |
+|                                      |components                    |                     |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|full_screen_toggle                    |handles logic                 |set_fullscreen       |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|resize                                |                              |resize               |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|key_press                             |key_press                     |                     |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|get_window_title                      |                              |get_window_title     |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|set_window_title                      |                              |set_window_title     |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|                                      |_get_toolbar                  |                     |A common method to all          |
+|                                      |                              |                     |subclasses of FigureManagerBase |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|                                      |                              |set_default_size     |                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+|                                      |                              |add_element_to_window|                                |
++--------------------------------------+------------------------------+---------------------+--------------------------------+
+
+
++----------+------------+-------------+
+|ShowBase  |MainLoopBase|Notes        |
++==========+============+=============+
+|mainloop  |begin       |             |
++----------+------------+-------------+
+|          |end         |Gets called  |
+|          |            |automagically|
+|          |            |when no more |
+|          |            |instances of |
+|          |            |the subclass |
+|          |            |exist        |
++----------+------------+-------------+
+|__call__  |            |Method moved |
+|          |            |to           |
+|          |            |Gcf.show_all |
++----------+------------+-------------+
+
+Future compatibility
+====================
+
+As eluded to above when discussing MEP 22, this refactor makes it easy
+to add in new generic features.  At the moment, MEP 22 has to make
+ugly hacks to each class extending from ``FigureManagerBase``.  With
+this code, this only needs to get made in the single ``FigureManager``
+class.  This also makes the later deprecation of
+``NavigationToolbar2`` very straightforward, only needing to touch the
+single ``FigureManager`` class
+
+MEP 23 makes for another use case where this refactored code will come
+in very handy.
+
+Backward compatibility
+======================
+
+As we leave all backend code intact, only adding missing methods to
+existing classes, this should work seamlessly for all use cases.  The
+only difference will lie for backends that used
+``FigureManager.resize`` to resize the canvas and not the window, due
+to the standardisation of the API.
+
+I would envision that the classes made obsolete by this refactor get
+deprecated and removed on the same timetable as
+``NavigationToolbar2``, also note that the change in call signature to
+the ``FigureCanvasWx`` constructor, while backward compatible, I think
+the old (imho ugly style) signature should get deprecated and removed
+in the same manner as everything else.
+
++-------------------------+-------------------------+-------------------------+
+|backend                  |manager.resize(w,h)      |Extra                    |
++=========================+=========================+=========================+
+|gtk3                     |window                   |                         |
++-------------------------+-------------------------+-------------------------+
+|Tk                       |canvas                   |                         |
++-------------------------+-------------------------+-------------------------+
+|Qt                       |window                   |                         |
++-------------------------+-------------------------+-------------------------+
+|Wx                       |canvas                   |FigureManagerWx had      |
+|                         |                         |``frame`` as an alias to |
+|                         |                         |window, so this also     |
+|                         |                         |breaks BC.               |
++-------------------------+-------------------------+-------------------------+
+
+
+Alternatives
+============
+
+If there were any alternative solutions to solving the same problem,
+they should be discussed here, along with a justification for the
+chosen approach.
+
+Questions
+=========
+
+Mdehoon: Can you elaborate on how to run multiple backends
+concurrently?
+
+OceanWolf: @mdehoon, as I say, not for this MEP, but I see this MEP
+opens it up as a future possibility.  Basically the ``MainLoopBase``
+class acts a per backend Gcf, in this MEP it tracks the number of
+figures open per backend, and manages the mainloops for those
+backends.  It closes the backend specific mainloop when it detects
+that no figures remain open for that backend.  Because of this I
+imagine that with only a small amount of tweaking that we can do
+full-multi-backend matplotlib.  No idea yet why one would want to, but
+I leave the possibility there in MainLoopBase.  With all the
+backend-code specifics refactored out of ``FigureManager`` also aids
+in this, one manager to rule them (the backends) all.
+
+Mdehoon: @OceanWolf, OK, thanks for the explanation. Having a uniform
+API for the backends is very important for the maintainability of
+matplotlib. I think this MEP is a step in the right direction.
diff --git a/doc/devel/MEP/MEP28.rst b/doc/devel/MEP/MEP28.rst
new file mode 100644
index 000000000000..7ae9f8e610d4
--- /dev/null
+++ b/doc/devel/MEP/MEP28.rst
@@ -0,0 +1,375 @@
+=============================================
+ MEP28: Remove Complexity from Axes.boxplot
+=============================================
+
+.. contents::
+   :local:
+
+
+Status
+======
+**Discussion**
+
+Branches and Pull requests
+==========================
+
+The following lists any open PRs or branches related to this MEP:
+
+#. Deprecate redundant statistical kwargs in ``Axes.boxplot``: https://github.com/phobson/matplotlib/tree/MEP28-initial-deprecations
+#. Deprecate redundant style options in ``Axes.boxplot``: https://github.com/phobson/matplotlib/tree/MEP28-initial-deprecations
+#. Deprecate passings 2D NumPy arrays as input: None
+#. Add pre- & post-processing options to ``cbook.boxplot_stats``: https://github.com/phobson/matplotlib/tree/boxplot-stat-transforms
+#. Exposing ``cbook.boxplot_stats`` through ``Axes.boxplot`` kwargs: None
+#. Remove redundant statistical kwargs in ``Axes.boxplot``: None
+#. Remove redundant style options in ``Axes.boxplot``: None
+#. Remaining items that arise through discussion: None
+
+Abstract
+========
+
+Over the past few releases, the ``Axes.boxplot`` method has grown in
+complexity to support fully customizable artist styling and statistical
+computation. This lead to ``Axes.boxplot`` being split off into multiple
+parts. The statistics needed to draw a boxplot are computed in
+``cbook.boxplot_stats``, while the actual artists are drawn by ``Axes.bxp``.
+The original method, ``Axes.boxplot`` remains as the most public API that
+handles passing the user-supplied data to ``cbook.boxplot_stats``, feeding
+the results to ``Axes.bxp``, and pre-processing style information for
+each facet of the boxplot plots.
+
+This MEP will outline a path forward to rollback the added complexity
+and simplify the API while maintaining reasonable backwards
+compatibility.
+
+Detailed description
+====================
+
+Currently, the ``Axes.boxplot`` method accepts parameters that allow the
+users to specify medians and confidence intervals for each box that
+will be drawn in the plot. These were provided so that advanced users
+could provide statistics computed in a different fashion that the simple
+method provided by matplotlib. However, handling this input requires
+complex logic to make sure that the forms of the data structure match what
+needs to be drawn. At the moment, that logic contains 9 separate if/else
+statements nested up to 5 levels deep with a for loop, and may raise up to 2 errors.
+These parameters were added prior to the creation of the ``Axes.bxp`` method,
+which draws boxplots from a list of dictionaries containing the relevant
+statistics. Matplotlib also provides a function that computes these
+statistics via ``cbook.boxplot_stats``. Note that advanced users can now
+either a) write their own function to compute the stats required by
+``Axes.bxp``, or b) modify the output returned by ``cbook.boxplots_stats``
+to fully customize the position of the artists of the plots. With this
+flexibility, the parameters to manually specify only the medians and their
+confidences intervals remain for backwards compatibility.
+
+Around the same time that the two roles of ``Axes.boxplot`` were split into
+``cbook.boxplot_stats`` for computation and ``Axes.bxp`` for drawing, both
+``Axes.boxplot`` and ``Axes.bxp`` were written to accept parameters that
+individually toggle the drawing of all components of the boxplots, and
+parameters that individually configure the style of those artists. However,
+to maintain backwards compatibility, the ``sym`` parameter (previously used
+to specify the symbol of the fliers) was retained. This parameter itself
+requires fairly complex logic to reconcile the ``sym`` parameters with the
+newer ``flierprops`` parameter at the default style specified by ``matplotlibrc``.
+
+This MEP seeks to dramatically simplify the creation of boxplots for
+novice and advanced users alike. Importantly, the changes proposed here
+will also be available to downstream packages like seaborn, as seaborn
+smartly allows users to pass arbitrary dictionaries of parameters through
+the seaborn API to the underlying matplotlib functions.
+
+This will be achieved in the following way:
+
+1. ``cbook.boxplot_stats`` will be modified to allow pre- and post-
+   computation transformation functions to be passed in (e.g., ``np.log``
+   and ``np.exp`` for lognormally distributed data)
+2. ``Axes.boxplot`` will be modified to also accept and naïvely pass them
+   to ``cbook.boxplots_stats`` (Alt: pass the stat function and a dict
+   of its optional parameters).
+3. Outdated parameters from ``Axes.boxplot`` will be deprecated and
+   later removed.
+
+Importance
+----------
+
+Since the limits of the whiskers are computed arithmetically, there
+is an implicit assumption of normality in box and whisker plots.
+This primarily affects which data points are classified as outliers.
+
+Allowing transformations to the data and the results used to draw
+boxplots will allow users to opt-out of that assumption if the
+data are known to not fit a normal distribution.
+
+Below is an example of how ``Axes.boxplot`` classifies outliers of lognormal
+data differently depending one these types of transforms.
+
+.. plot::
+   :include-source: true
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+   from matplotlib import cbook
+   np.random.seed(0)
+
+   fig, ax = plt.subplots(figsize=(4, 6))
+   ax.set_yscale('log')
+   data = np.random.lognormal(-1.75, 2.75, size=37)
+
+   stats = cbook.boxplot_stats(data, labels=['arithmetic'])
+   logstats = cbook.boxplot_stats(np.log(data), labels=['log-transformed'])
+
+   for lsdict in logstats:
+       for key, value in lsdict.items():
+           if key != 'label':
+               lsdict[key] = np.exp(value)
+
+   stats.extend(logstats)
+   ax.bxp(stats)
+   fig.show()
+
+Implementation
+==============
+
+Passing transform functions to ``cbook.boxplots_stats``
+-------------------------------------------------------
+
+This MEP proposes that two parameters (e.g., ``transform_in`` and
+``transform_out`` be added to the cookbook function that computes the
+statistics for the boxplot function. These will be optional keyword-only
+arguments and can easily be set to ``lambda x: x`` as a no-op when omitted
+by the user. The ``transform_in`` function will be applied to the data
+as the ``boxplot_stats`` function loops through each subset of the data
+passed to it. After the list of statistics dictionaries are computed the
+``transform_out`` function is applied to each value in the dictionaries.
+
+These transformations can then be added to the call signature of
+``Axes.boxplot`` with little impact to that method's complexity. This is
+because they can be directly passed to ``cbook.boxplot_stats``.
+Alternatively, ``Axes.boxplot`` could be modified to accept an optional
+statistical function kwarg and a dictionary of parameters to be directly
+passed to it.
+
+At this point in the implementation users and external libraries like
+seaborn would have complete control via the ``Axes.boxplot`` method. More
+importantly, at the very least, seaborn would require no changes to its
+API to allow users to take advantage of these new options.
+
+Simplifications to the ``Axes.boxplot`` API and other functions
+---------------------------------------------------------------
+
+Simplifying the boxplot method consists primarily of deprecating and then
+removing the redundant parameters. Optionally, a next step would include
+rectifying minor terminological inconsistencies between ``Axes.boxplot``
+and ``Axes.bxp``.
+
+The parameters to be deprecated and removed include:
+
+1. ``usermedians`` - processed by 10 SLOC, 3 ``if`` blocks, a ``for`` loop
+2. ``conf_intervals`` - handled by 15 SLOC, 6 ``if`` blocks, a ``for`` loop
+3. ``sym`` - processed by 12 SLOC, 4 ``if`` blocks
+
+Removing the ``sym`` option allows all code in handling the remaining
+styling parameters to be moved to ``Axes.bxp``. This doesn't remove
+any complexity, but does reinforce the single responsibility principle
+among ``Axes.bxp``, ``cbook.boxplot_stats``, and ``Axes.boxplot``.
+
+Additionally, the ``notch`` parameter could be renamed ``shownotches``
+to be consistent with ``Axes.bxp``. This kind of cleanup could be taken
+a step further and the ``whis``, ``bootstrap``, ``autorange`` could
+be rolled into the kwargs passed to the new ``statfxn`` parameter.
+
+Backward compatibility
+======================
+
+Implementation of this MEP would eventually result in the backwards
+incompatible deprecation and then removal of the keyword parameters
+``usermedians``, ``conf_intervals``, and ``sym``. Cursory searches on
+GitHub indicated that ``usermedians``, ``conf_intervals`` are used by
+few users, who all seem to have a very strong knowledge of matplotlib.
+A robust deprecation cycle should provide sufficient time for these
+users to migrate to a new API.
+
+Deprecation of ``sym`` however, may have a much broader reach into
+the matplotlib userbase.
+
+Schedule
+--------
+An accelerated timeline could look like the following:
+
+#. v2.0.1 add transforms to ``cbook.boxplots_stats``, expose in ``Axes.boxplot``
+#. v2.1.0 Initial Deprecations , and using 2D NumPy arrays as input
+
+   a. Using 2D NumPy arrays as input. The semantics around 2D arrays are generally confusing.
+   b. ``usermedians``, ``conf_intervals``, ``sym`` parameters
+
+#. v2.2.0
+
+   a. remove ``usermedians``, ``conf_intervals``, ``sym`` parameters
+   b. deprecate ``notch`` in favor of ``shownotches`` to be consistent with
+      other parameters and ``Axes.bxp``
+
+#. v2.3.0
+
+   a. remove ``notch`` parameter
+   b. move all style and artist toggling logic to ``Axes.bxp`` such ``Axes.boxplot``
+      is little more than a broker between ``Axes.bxp`` and ``cbook.boxplots_stats``
+
+
+Anticipated Impacts to Users
+----------------------------
+
+As described above deprecating ``usermedians`` and ``conf_intervals``
+will likely impact few users. Those who will be impacted are almost
+certainly advanced users who will be able to adapt to the change.
+
+Deprecating the ``sym`` option may import more users and effort should
+be taken to collect community feedback on this.
+
+Anticipated Impacts to Downstream Libraries
+-------------------------------------------
+
+The source code (GitHub master as of 2016-10-17) was inspected for
+seaborn and python-ggplot to see if these changes would impact their
+use. None of the parameters nominated for removal in this MEP are used by
+seaborn. The seaborn APIs that use matplotlib's boxplot function allow
+user's to pass arbitrary ``**kwargs`` through to matplotlib's API. Thus
+seaborn users with modern matplotlib installations will be able to take
+full advantage of any new features added as a result of this MEP.
+
+Python-ggplot has implemented its own function to draw boxplots. Therefore,
+no impact can come to it as a result of implementing this MEP.
+
+Alternatives
+============
+
+Variations on the theme
+-----------------------
+
+This MEP can be divided into a few loosely coupled components:
+
+#. Allowing pre- and post-computation transformation function in ``cbook.boxplot_stats``
+#. Exposing that transformation in the ``Axes.boxplot`` API
+#. Removing redundant statistical options in ``Axes.boxplot``
+#. Shifting all styling parameter processing from ``Axes.boxplot`` to ``Axes.bxp``.
+
+With this approach, #2 depends and #1, and #4 depends on #3.
+
+There are two possible approaches to #2. The first and most direct would
+be to mirror the new ``transform_in`` and ``transform_out`` parameters of
+``cbook.boxplot_stats`` in ``Axes.boxplot`` and pass them directly.
+
+The second approach would be to add ``statfxn`` and ``statfxn_args``
+parameters to ``Axes.boxplot``. Under this implementation, the default
+value of ``statfxn`` would be ``cbook.boxplot_stats``, but users could
+pass their own function. Then ``transform_in`` and ``transform_out`` would
+then be passed as elements of the ``statfxn_args`` parameter.
+
+.. rstcheck: ignore-next-code-block
+.. code:: python
+
+   def boxplot_stats(data, ..., transform_in=None, transform_out=None):
+       if transform_in is None:
+           transform_in = lambda x: x
+
+       if transform_out is None:
+           transform_out = lambda x: x
+
+       output = []
+       for _d in data:
+           d = transform_in(_d)
+           stat_dict = do_stats(d)
+           for key, value in stat_dict.item():
+               if key != 'label':
+                   stat_dict[key] = transform_out(value)
+           output.append(d)
+       return output
+
+
+    class Axes(...):
+        def boxplot_option1(data, ..., transform_in=None, transform_out=None):
+            stats = cbook.boxplot_stats(data, ...,
+                                        transform_in=transform_in,
+                                        transform_out=transform_out)
+            return self.bxp(stats, ...)
+
+        def boxplot_option2(data, ..., statfxn=None, **statopts):
+            if statfxn is None:
+                statfxn = boxplot_stats
+            stats = statfxn(data, **statopts)
+            return self.bxp(stats, ...)
+
+Both cases would allow users to do the following:
+
+.. code:: python
+
+   fig, ax1 = plt.subplots()
+   artists1 = ax1.boxplot_optionX(data, transform_in=np.log,
+                                  transform_out=np.exp)
+
+
+But Option Two lets a user write a completely custom stat function
+(e.g., ``my_box_stats``) with fancy BCA confidence intervals and the
+whiskers set differently depending on some attribute of the data.
+
+This is available under the current API:
+
+.. code:: python
+
+   fig, ax1 = plt.subplots()
+   my_stats = my_box_stats(data, bootstrap_method='BCA',
+                           whisker_method='dynamic')
+   ax1.bxp(my_stats)
+
+And would be more concise with Option Two
+
+.. code:: python
+
+   fig, ax = plt.subplots()
+   statopts = dict(transform_in=np.log, transform_out=np.exp)
+   ax.boxplot(data, ..., **statopts)
+
+Users could also pass their own function to compute the stats:
+
+.. code:: python
+
+   fig, ax1 = plt.subplots()
+   ax1.boxplot(data, statfxn=my_box_stats, bootstrap_method='BCA',
+               whisker_method='dynamic')
+
+From the examples above, Option Two seems to have only marginal benefit,
+but in the context of downstream libraries like seaborn, its advantage
+is more apparent as the following would be possible without any patches
+to seaborn:
+
+.. code:: python
+
+   import seaborn
+   tips = seaborn.load_data('tips')
+   g = seaborn.factorplot(x="day", y="total_bill", hue="sex", data=tips,
+                          kind='box', palette="PRGn", shownotches=True,
+                          statfxn=my_box_stats, bootstrap_method='BCA',
+                          whisker_method='dynamic')
+
+This type of flexibility was the intention behind splitting the overall
+boxplot API in the current three functions. In practice however, downstream
+libraries like seaborn support versions of matplotlib dating back well
+before the split. Thus, adding just a bit more flexibility to the
+``Axes.boxplot`` could expose all the functionality to users of the
+downstream libraries with modern matplotlib installation without intervention
+from the downstream library maintainers.
+
+Doing less
+----------
+
+Another obvious alternative would be to omit the added pre- and post-
+computation transform functionality in ``cbook.boxplot_stats`` and
+``Axes.boxplot``, and simply remove the redundant statistical and style
+parameters as described above.
+
+Doing nothing
+-------------
+
+As with many things in life, doing nothing is an option here. This means
+we simply advocate for users and downstream libraries to take advantage
+of the split between ``cbook.boxplot_stats`` and ``Axes.bxp`` and let
+them decide how to provide an interface to that.
diff --git a/doc/devel/MEP/MEP29.rst b/doc/devel/MEP/MEP29.rst
new file mode 100644
index 000000000000..fce4e3c5072c
--- /dev/null
+++ b/doc/devel/MEP/MEP29.rst
@@ -0,0 +1,84 @@
+=========================
+ MEP29: Text light markup
+=========================
+
+.. contents::
+   :local:
+
+
+Status
+======
+
+Discussion
+
+
+Branches and Pull requests
+==========================
+
+None at the moment, proof of concept only.
+
+Abstract
+========
+
+This MEP proposes to add lightweight markup to the text artist.
+
+Detailed description
+====================
+
+Using different size/color/family in a text annotation is difficult because the
+`~.Axes.text` method accepts argument for size/color/family/weight/etc. that are used
+for the whole text. But, if one wants, for example, to have different colors,
+one has to look at the gallery where one such example is provided:
+:doc:`/gallery/text_labels_and_annotations/rainbow_text`
+
+This example takes a list of strings as well as a list of colors which makes it
+cumbersome to use. An alternative would be to use a restricted set of pango_-like markup and to interpret this markup.
+
+.. _pango: https://docs.gtk.org/Pango/pango_markup.html#pango-markup
+
+Some markup examples::
+
+   Hello <b>world!</b>`
+   Hello <span color="blue">world!</span>
+
+
+Implementation
+==============
+
+A proof of concept is provided in `markup_example.py <https://github.com/rougier/matplotlib/blob/markup/examples/text_labels_and_annotations/markup.py>`_ but it currently only handles the horizontal direction.
+
+Improvements
+------------
+
+* This proof of concept uses regex to parse the text but it may be better
+  to use the html.parser from the standard library.
+
+* Computation of text fragment positions could benefit from the OffsetFrom
+  class. See for example item 5 in `Using Complex Coordinates with Annotations <https://matplotlib.org/devdocs/users/explain/text/annotations.html#using-complex-coordinates-with-annotations>`_
+
+Problems
+--------
+
+* One serious problem is how to deal with text having both LaTeX and
+  HTML-like tags. For example, consider the following::
+
+     $<b>Bold$</b>
+
+  Recommendation would be to have mutual exclusion.
+
+
+Backward compatibility
+======================
+
+None at the moment since it is only a proof of concept
+
+
+Alternatives
+============
+
+As proposed by @anntzer, this could be also implemented as improvements to
+mathtext. For example::
+
+  r"$\text{Hello \textbf{world}}$"
+  r"$\text{Hello \textcolor{blue}{world}}$"
+  r"$\text{Hello \textsf{\small world}}$"
diff --git a/doc/devel/MEP/README.rst b/doc/devel/MEP/README.rst
new file mode 100644
index 000000000000..fe58ee685d91
--- /dev/null
+++ b/doc/devel/MEP/README.rst
@@ -0,0 +1,18 @@
+:orphan:
+
+
+################################
+Matplotlib Enhancement Proposals
+################################
+
+Matplotlib Enhancement Proposals (MEP), inspired by cpython's `PEP's
+<https://www.python.org/dev/peps/>`__ but less formal, are design
+documents for large or controversial changes to Matplotilb.  These
+documents should provide a discussion of both why and how the changes
+should be made.
+
+To create a new MEP open a pull request (PR) adding a file based on
+:ref:`the template <MEP-template>` to this the MEP directory.  For the
+initial PR only a rough description is required and it should be
+merged quickly.  Further detailed discussion can happen in follow on
+PRs.
diff --git a/doc/devel/MEP/index.rst b/doc/devel/MEP/index.rst
new file mode 100644
index 000000000000..6753626aa567
--- /dev/null
+++ b/doc/devel/MEP/index.rst
@@ -0,0 +1,19 @@
+.. _MEP-index:
+
+.. include:: README.rst
+
+.. only:: html
+
+   :Release: |version|
+   :Date: |today|
+
+.. toctree::
+   :maxdepth: 1
+
+   template
+
+.. toctree::
+   :glob:
+   :maxdepth: 1
+
+   MEP*
diff --git a/doc/devel/MEP/template.rst b/doc/devel/MEP/template.rst
new file mode 100644
index 000000000000..00bdbc87a95e
--- /dev/null
+++ b/doc/devel/MEP/template.rst
@@ -0,0 +1,75 @@
+.. _MEP-template:
+
+==============
+ MEP Template
+==============
+
+.. contents::
+   :local:
+
+
+This MEP template is a guideline of the sections that a MEP should
+contain.  Extra sections may be added if appropriate, and unnecessary
+sections may be noted as such.
+
+Status
+======
+
+MEPs go through a number of phases in their lifetime:
+
+- **Discussion**: The MEP is being actively discussed on the mailing
+  list and it is being improved by its author.  The mailing list
+  discussion of the MEP should include the MEP number (MEPxxx) in the
+  subject line so they can be easily related to the MEP.
+
+- **Progress**: Consensus was reached and implementation work has begun.
+
+- **Completed**: The implementation has been merged into main.
+
+- **Superseded**: This MEP has been abandoned in favor of another
+  approach.
+
+- **Rejected**: There are currently no plans to implement the proposal.
+
+Branches and Pull requests
+==========================
+
+All development branches containing work on this MEP should be linked to from here.
+
+All pull requests submitted relating to this MEP should be linked to
+from here.  (A MEP does not need to be implemented in a single pull
+request if it makes sense to implement it in discrete phases).
+
+Abstract
+========
+
+The abstract should be a short description of what the MEP will achieve.
+
+Detailed description
+====================
+
+This section describes the need for the MEP.  It should describe the
+existing problem that it is trying to solve and why this MEP makes the
+situation better.  It should include examples of how the new
+functionality would be used and perhaps some use cases.
+
+Implementation
+==============
+
+This section lists the major steps required to implement the MEP.
+Where possible, it should be noted where one step is dependent on
+another, and which steps may be optionally omitted.  Where it makes
+sense, each step should include a link related pull requests as the
+implementation progresses.
+
+Backward compatibility
+======================
+
+This section describes the ways in which the MEP breaks backward incompatibility.
+
+Alternatives
+============
+
+If there were any alternative solutions to solving the same problem,
+they should be discussed here, along with a justification for the
+chosen approach.
diff --git a/doc/devel/add_new_projection.rst b/doc/devel/add_new_projection.rst
deleted file mode 100644
index 3ec636a82356..000000000000
--- a/doc/devel/add_new_projection.rst
+++ /dev/null
@@ -1,152 +0,0 @@
-.. _adding-new-scales:
-
-***********************************************
-Adding new scales and projections to matplotlib
-***********************************************
-
-.. ::author Michael Droettboom
-
-Matplotlib supports the addition of custom procedures that transform
-the data before it is displayed.
-
-There is an important distinction between two kinds of
-transformations.  Separable transformations, working on a single
-dimension, are called "scales", and non-separable transformations,
-that handle data in two or more dimensions at a time, are called
-"projections".
-
-From the user's perspective, the scale of a plot can be set with
-:meth:`~matplotlib.axes.Axes.set_xscale` and
-:meth:`~matplotlib.axes.Axes.set_yscale`.  Projections can be chosen
-using the ``projection`` keyword argument to the
-:func:`~matplotlib.pylab.plot` or :func:`~matplotlib.pylab.subplot`
-functions, e.g.::
-
-    plot(x, y, projection="custom")
-
-This document is intended for developers and advanced users who need
-to create new scales and projections for matplotlib.  The necessary
-code for scales and projections can be included anywhere: directly
-within a plot script, in third-party code, or in the matplotlib source
-tree itself.
-
-.. _creating-new-scale:
-
-Creating a new scale
-====================
-
-Adding a new scale consists of defining a subclass of
-:class:`matplotlib.scale.ScaleBase`, that includes the following
-elements:
-
-  - A transformation from data coordinates into display coordinates.
-
-  - An inverse of that transformation.  This is used, for example, to
-    convert mouse positions from screen space back into data space.
-
-  - A function to limit the range of the axis to acceptable values
-    (``limit_range_for_scale()``).  A log scale, for instance, would
-    prevent the range from including values less than or equal to
-    zero.
-
-  - Locators (major and minor) that determine where to place ticks in
-    the plot, and optionally, how to adjust the limits of the plot to
-    some "good" values.  Unlike ``limit_range_for_scale()``, which is
-    always enforced, the range setting here is only used when
-    automatically setting the range of the plot.
-
-  - Formatters (major and minor) that specify how the tick labels
-    should be drawn.
-
-Once the class is defined, it must be registered with matplotlib so
-that the user can select it.
-
-A full-fledged and heavily annotated example is in
-:file:`examples/api/custom_scale_example.py`.  There are also some classes
-in :mod:`matplotlib.scale` that may be used as starting points.
-
-
-.. _creating-new-projection:
-
-Creating a new projection
-=========================
-
-Adding a new projection consists of defining a projection axes which
-subclasses :class:`matplotlib.axes.Axes` and includes the following
-elements:
-
-  - A transformation from data coordinates into display coordinates.
-
-  - An inverse of that transformation.  This is used, for example, to
-    convert mouse positions from screen space back into data space.
-
-  - Transformations for the gridlines, ticks and ticklabels.  Custom
-    projections will often need to place these elements in special
-    locations, and matplotlib has a facility to help with doing so.
-
-  - Setting up default values (overriding
-    :meth:`~matplotlib.axes.Axes.cla`), since the defaults for a
-    rectilinear axes may not be appropriate.
-
-  - Defining the shape of the axes, for example, an elliptical axes,
-    that will be used to draw the background of the plot and for
-    clipping any data elements.
-
-  - Defining custom locators and formatters for the projection.  For
-    example, in a geographic projection, it may be more convenient to
-    display the grid in degrees, even if the data is in radians.
-
-  - Set up interactive panning and zooming.  This is left as an
-    "advanced" feature left to the reader, but there is an example of
-    this for polar plots in :mod:`matplotlib.projections.polar`.
-
-  - Any additional methods for additional convenience or features.
-
-Once the projection axes is defined, it can be used in one of two ways:
-
-  - By defining the class attribute ``name``, the projection axes can be
-    registered with :func:`matplotlib.projections.register_projection`
-    and subsequently simply invoked by name::
-
-        plt.axes(projection='my_proj_name')
-
-  - For more complex, parameterisable projections, a generic "projection"
-    object may be defined which includes the method ``_as_mpl_axes``.
-    ``_as_mpl_axes`` should take no arguments and return the projection's
-    axes subclass and a dictionary of additional arguments to pass to the
-    subclass' ``__init__`` method.  Subsequently a parameterised projection
-    can be initialised with::
-
-        plt.axes(projection=MyProjection(param1=param1_value))
-
-    where MyProjection is an object which implements a ``_as_mpl_axes`` method.
-
-
-A full-fledged and heavily annotated example is in
-:file:`examples/api/custom_projection_example.py`.  The polar plot
-functionality in :mod:`matplotlib.projections.polar` may also be of
-interest.
-
-API documentation
-=================
-
-matplotlib.scale
-----------------
-
-.. automodule:: matplotlib.scale
-   :members:
-   :show-inheritance:
-
-matplotlib.projections
-----------------------
-
-.. automodule:: matplotlib.projections
-   :members:
-   :show-inheritance:
-
-matplotlib.projections.polar
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-.. automodule:: matplotlib.projections.polar
-   :members:
-   :show-inheritance:
diff --git a/doc/devel/api_changes.rst b/doc/devel/api_changes.rst
new file mode 100644
index 000000000000..19bc530abf6b
--- /dev/null
+++ b/doc/devel/api_changes.rst
@@ -0,0 +1,333 @@
+.. _api_changes:
+
+API guidelines
+==============
+
+API consistency and stability are of great value; Therefore, API changes
+(e.g. signature changes, behavior changes, removals) will only be conducted
+if the added benefit is worth the effort of adapting existing code.
+
+Because we are a visualization library, our primary output is the final
+visualization the user sees; therefore, the appearance of the figure is part of
+the API and any changes, either semantic or aesthetic, are backwards-incompatible
+API changes.
+
+
+Add new API
+-----------
+
+Every new function, parameter and attribute that is not explicitly marked as
+private (i.e., starts with an underscore) becomes part of Matplotlib's public
+API. As discussed above, changing the existing API is cumbersome. Therefore,
+take particular care when adding new API:
+
+- Mark helper functions and internal attributes as private by prefixing them
+  with an underscore.
+- Carefully think about good names for your functions and variables.
+- Try to adopt patterns and naming conventions from existing parts of the
+  Matplotlib API.
+- Consider making as many arguments keyword-only as possible. See also
+  `API Evolution the Right Way -- Add Parameters Compatibly`__.
+
+  __ https://emptysqua.re/blog/api-evolution-the-right-way/#adding-parameters
+
+
+Add or change colormaps, color sequences, and styles
+----------------------------------------------------
+Visual changes are considered an API break. Therefore, we generally do not modify
+existing colormaps, color sequences, or styles.
+
+We put a high bar on adding new colormaps and styles to prevent excessively growing
+them. While the decision is case-by-case, evaluation criteria include:
+
+- novelty: Does it support a new use case? e.g. slight variations of existing maps,
+  sequences and styles are likely not accepted.
+- usability and accessibility: Are colors of sequences sufficiently distinct? Has
+  colorblindness been considered?
+- evidence of wide spread usage: for example academic papers, industry blogs and
+  whitepapers, or inclusion in other visualization libraries or domain specific tools
+- open license: colormaps, sequences, and styles must have a BSD compatible license
+  (see :ref:`license-discussion`)
+
+.. _deprecation-guidelines:
+
+Deprecate API
+-------------
+
+When deciding to deprecate API we carefully consider the balance between the advantages
+(clearer interfaces, better usability, less maintenance) and the disadvantages (users
+have to learn new API and have to modify existing code).
+
+.. tip::
+
+   A rough estimate on the current usage of an API can be obtained by a GitHub code
+   search. A good search pattern is typically
+   ``[expression] language:Python NOT is:fork``. ``[expression]`` may be a simple
+   string, but often regular expressions are helpful to exclude incorrect matches.
+   You can start simple and look at the search results, if there are too many
+   incorrect matches, gradually refine your search criteria.
+
+   It can also be helpful to add ``NOT path:**/matplotlib/** NOT path:**/site-packages/**``
+   to exclude matches where the matplotlib codebase is checked into another repo,
+   either as direct sources or as part of an environment.
+
+   *Example*: Calls of the method ``Figure.draw()`` could be matched using
+   ``/\bfig(ure)?\.draw\(/``. This expression employs a number of patterns:
+
+   - Add the opening bracket ``(`` after the method name to only find method calls.
+   - Include a common object name if there are otherwise too many false positives.
+     There are many ``draw()`` functions out there, but the ones we are looking for
+     are likely called via ``fig.draw()`` or ``figure.draw()``.
+   - Use the word boundary marker ``\b`` to make sure your expression is not a
+     matching as part of a longer word.
+
+   `Link to the resulting GitHub search <https://github.com/search?q=%2F%5Cbfig%28ure%29%3F%5C.draw%5C%28%2F+language%3APython+NOT+is%3Afork&type=code>`_
+
+
+API changes in Matplotlib have to be performed following the deprecation process
+below, except in very rare circumstances as deemed necessary by the development
+team. Generally API deprecation happens in two stages:
+
+* **introduce:** warn users that the API *will* change
+* **expire:** API *is* changed as described in the introduction period
+
+This ensures that users are notified before the change will take effect and thus
+prevents unexpected breaking of code. Occasionally deprecations are marked as
+**pending**, which means that the deprecation will be introduced in a future release.
+
+Rules
+^^^^^
+- Deprecations are targeted at the next :ref:`meso release <pr-milestones>` (e.g. 3.Y)
+- Deprecated API is generally removed (expired) two point-releases after introduction
+  of the deprecation. Longer deprecations can be imposed by core developers on
+  a case-by-case basis to give more time for the transition
+- The old API must remain fully functional during the deprecation period
+- If alternatives to the deprecated API exist, they should be available
+  during the deprecation period
+- If in doubt, decisions about API changes are finally made by the
+  `API consistency lead <https://matplotlib.org/governance/people.html>`_ developer.
+
+
+.. _intro-deprecation:
+
+Introduce deprecation
+^^^^^^^^^^^^^^^^^^^^^
+
+Deprecations are introduced to warn users that the API will change. The deprecation
+notice describes how the API will change. When alternatives to the deprecated API exist,
+they are also listed in the notice and decorators.
+
+#. Create a :ref:`deprecation notice <api_whats_new>`
+
+#. If possible, issue a `~matplotlib.MatplotlibDeprecationWarning` when the
+   deprecated API is used. There are a number of helper tools for this:
+
+   - Use ``_api.warn_deprecated()`` for general deprecation warnings
+   - Use the decorator ``@_api.deprecated`` to deprecate classes, functions,
+     methods, or properties
+   - Use ``@_api.deprecate_privatize_attribute`` to annotate deprecation of
+     attributes while keeping the internal private version.
+   - To warn on changes of the function signature, use the decorators
+     ``@_api.delete_parameter``, ``@_api.rename_parameter``, and
+     ``@_api.make_keyword_only``
+
+   All these helpers take a first parameter *since*, which should be set to
+   the next point release, e.g. "3.x".
+
+   You can use standard rst cross references in *alternative*.
+
+#. Make appropriate changes to the type hints in the associated ``.pyi`` file.
+   The general guideline is to match runtime reported behavior.
+
+   - Items marked with ``@_api.deprecated`` or ``@_api.deprecate_privatize_attribute``
+     are generally kept during the expiry period, and thus no changes are needed on
+     introduction.
+   - Items decorated with ``@_api.rename_parameter`` or ``@_api.make_keyword_only``
+     report the *new* (post deprecation) signature at runtime, and thus *should* be
+     updated on introduction.
+   - Items decorated with ``@_api.delete_parameter`` should include a default value hint
+     for the deleted parameter, even if it did not previously have one (e.g.
+     ``param: <type> = ...``).
+
+.. _expire-deprecation:
+
+Expire deprecation
+^^^^^^^^^^^^^^^^^^
+The API changes described in the introduction notice are only implemented after the
+introduction period has expired.
+
+#. Create a :ref:`deprecation announcement <api_whats_new>`. For the content,
+   you can usually copy the deprecation notice and adapt it slightly.
+
+#. Change the code functionality and remove any related deprecation warnings.
+
+#. Make appropriate changes to the type hints in the associated ``.pyi`` file.
+
+   - Items marked with ``@_api.deprecated`` or ``@_api.deprecate_privatize_attribute``
+     are to be removed on expiry.
+   - Items decorated with ``@_api.rename_parameter`` or ``@_api.make_keyword_only``
+     will have been updated at introduction, and require no change now.
+   - Items decorated with ``@_api.delete_parameter`` will need to be updated to the
+     final signature, in the same way as the ``.py`` file signature is updated.
+   - Any entries in :file:`ci/mypy-stubtest-allowlist.txt` which indicate a deprecation
+     version should be double checked. In most cases this is not needed, though some
+     items were never type hinted in the first place and were added to this file
+     instead. For removed items that were not in the stub file, only deleting from the
+     allowlist is required.
+
+.. _pending-deprecation:
+
+Pending deprecation
+^^^^^^^^^^^^^^^^^^^
+
+A pending deprecation is an announcement that a deprecation will be introduced in the
+future. By default, pending deprecations do not raise a warning to the user; however,
+pending deprecations are rendered in the documentation and listed in the release notes.
+Pending notices are primarily intended to give downstream library and tool developers
+time to adapt their code so that it does not raise a deprecation
+warning. This is because their users cannot act on warnings triggered by how the tools
+and libraries use Matplotlib. It's also possible to run Python in dev mode to raise
+`PendingDeprecationWarning`.
+
+To mark a deprecation as pending, set the following parameters on the appropriate
+deprecation decorator:
+* the *pending* parameter is set to ``True``
+* the *removal* parameter is left blank
+
+When converting a pending deprecation to an introduced deprecation, update the
+decorator such that:
+* *pending* is set to ``False``
+* *since* is set to the next meso release (3.Y+1)
+* *removal* is set to at least 2 meso releases after (3.Y+3) introduction.
+
+Pending deprecations are documented in the :ref:`API change notes <api_whats_new>` in
+the same manner as introduced and expired deprecations. The notice should include
+*pending deprecation* in the title.
+
+
+.. redirect-from:: /devel/coding_guide#new-features-and-api-changes
+
+.. _api_whats_new:
+
+Announce new and deprecated API
+-------------------------------
+
+When adding or changing the API in a backward in-compatible way, please add the
+appropriate :ref:`versioning directive <versioning-directives>` and document it
+in the :ref:`release notes <release-notes>` by adding an entry to the appropriate
+folder:
+
++-------------------+-----------------------------+----------------------------------------------+
+|                   |   versioning directive      |  announcement folder                         |
++===================+=============================+==============================================+
+| new feature       | ``.. versionadded:: 3.N``   | :file:`doc/users/next_whats_new/`            |
++-------------------+-----------------------------+----------------------------------------------+
+| API change        | ``.. versionchanged:: 3.N`` | :file:`doc/api/next_api_changes/[kind]`      |
++-------------------+-----------------------------+----------------------------------------------+
+
+When deprecating API, please add a notice as described in the
+:ref:`deprecation guidelines <deprecation-guidelines>` and summarized here:
+
++--------------------------------------------------+----------------------------------------------+
+|   stage                                          |             announcement folder              |
++===========+======================================+==============================================+
+| :ref:`introduce deprecation <intro-deprecation>` | :file:`doc/api/next_api_changes/deprecation` |
++-----------+--------------------------------------+----------------------------------------------+
+| :ref:`expire deprecation <expire-deprecation>`   | :file:`doc/api/next_api_changes/[kind]`      |
++-----------+--------------------------------------+----------------------------------------------+
+
+Generally the introduction notices can be repurposed for the expiration notice as they
+are expected to be describing the same API changes and removals.
+
+.. _versioning-directives:
+
+Versioning directives
+^^^^^^^^^^^^^^^^^^^^^
+
+When making a backward incompatible change, please add a versioning directive in
+the docstring. The directives should be placed at the end of a description block.
+For example::
+
+  class Foo:
+      """
+      This is the summary.
+
+      Followed by a longer description block.
+
+      Consisting of multiple lines and paragraphs.
+
+      .. versionadded:: 3.5
+
+      Parameters
+      ----------
+      a : int
+          The first parameter.
+      b: bool, default: False
+          This was added later.
+
+          .. versionadded:: 3.6
+      """
+
+      def set_b(b):
+          """
+          Set b.
+
+          .. versionadded:: 3.6
+
+          Parameters
+          ----------
+          b: bool
+
+For classes and functions, the directive should be placed before the
+*Parameters* section. For parameters, the directive should be placed at the
+end of the parameter description. The micro release version is omitted and
+the directive should not be added to entire modules.
+
+.. _release-notes:
+
+Release notes
+^^^^^^^^^^^^^
+
+For both change notes and what's new, please avoid using cross-references in section
+titles as it causes links to be confusing in the table of contents. Instead, ensure that
+a cross-reference is included in the descriptive text.
+
+.. _api-change-notes:
+
+API change notes
+""""""""""""""""
+
+.. include:: ../api/next_api_changes/README.rst
+   :start-after: api-change-guide-start
+   :end-before: api-change-guide-end
+
+.. _whats-new-notes:
+
+What's new notes
+""""""""""""""""
+
+.. include:: ../users/next_whats_new/README.rst
+   :start-after: whats-new-guide-start
+   :end-before: whats-new-guide-end
+
+Discourage API
+--------------
+
+We have API that we do not recommend anymore for new code, but that cannot be
+deprecated because its removal would be breaking backward-compatibility and too
+disruptive. In such a case we can formally discourage API. This can cover
+specific parameters, call patterns, whole methods etc.
+
+To do so, add a note to the docstring ::
+
+    .. admonition:: Discouraged
+
+       [description and suggested alternative]
+
+You find several examples for good descriptions if you search the codebase for
+``.. admonition:: Discouraged``.
+
+Additionally, if a whole function is discouraged, prefix the summary line with
+``[*Discouraged*]`` so that it renders in the API overview like this
+
+    [*Discouraged*] Return the XAxis instance.
diff --git a/doc/devel/codespaces.md b/doc/devel/codespaces.md
new file mode 100644
index 000000000000..cb002c9b2e6e
--- /dev/null
+++ b/doc/devel/codespaces.md
@@ -0,0 +1,9 @@
+# Contributing to Matplotlib using GitHub codespaces
+
+* For a general overview of contributing to Matplotlib, see https://matplotlib.org/devdocs/devel/index.html
+
+* For instructions on how to submit Pull Requests using GitHub codespaces, see https://matplotlib.org/devdocs/devel/contribute.html#contributing-code
+
+* For instructions on running tests to verify your changes, see https://matplotlib.org/devdocs/devel/testing.html
+
+* For instructions on building the Matplotlib documentation, see https://matplotlib.org/devdocs/devel/document.html#documenting-matplotlib
diff --git a/doc/devel/coding_guide.rst b/doc/devel/coding_guide.rst
index 0d5eee9c6160..2b156cedca05 100644
--- a/doc/devel/coding_guide.rst
+++ b/doc/devel/coding_guide.rst
@@ -1,203 +1,163 @@
-.. _coding-guide:
+.. _coding_guidelines:
 
-************
-Coding guide
-************
+*****************
+Coding guidelines
+*****************
 
-.. _pull-request-checklist:
+We appreciate these guidelines being followed because it improves the readability,
+consistency, and maintainability of the code base.
 
-Pull request checklist
-======================
+.. admonition:: API guidelines
+    :class: seealso
 
-This checklist should be consulted when creating pull requests to make
-sure they are complete before merging.  These are not intended to be
-rigidly followed---it's just an attempt to list in one place all of
-the items that are necessary for a good pull request.  Of course, some
-items will not always apply.
+    If adding new features, changing behavior or function signatures, or removing
+    public interfaces, please consult the :ref:`api_changes`.
 
-Branch selection
-----------------
+.. _code-style:
 
-* In general, simple bugfixes that are unlikely to introduce new bugs
-  of their own should be merged onto the maintenance branch.  New
-  features, or anything that changes the API, should be made against
-  master.  The rules are fuzzy here -- when in doubt, try to get some
-  consensus.
+PEP8, as enforced by ruff
+=========================
 
-  * Once changes are merged into the maintenance branch, they should
-    be merged into master.
+Formatting should follow the recommendations of PEP8_, as enforced by ruff_.
+Matplotlib modifies PEP8 to extend the maximum line length to 88
+characters. You can check PEP8 compliance from the command line with ::
 
-Style
------
+    python -m pip install ruff
+    ruff check /path/to/module.py
 
-* Formatting should follow `PEP8
-  <http://www.python.org/dev/peps/pep-0008/>`_.  Exceptions to these
-  rules are acceptable if it makes the code objectively more readable.
+or your editor may provide integration with it. To check all files,
+and fix any errors in-place (where possible) run ::
 
-  - You should consider installing/enabling automatic PEP8 checking in your
-    editor.  Part of the test suite is checking PEP8 compliance, things
-    go smoother if the code is mostly PEP8 compliant to begin with.
+    ruff check --fix
 
-* No tabs (only spaces).  No trailing whitespace.
 
-  - Configuring your editor to remove these things upon saving will
-    save a lot of trouble.
+Matplotlib intentionally does not use the black_ auto-formatter (1__),
+in particular due to its inability to understand the semantics of
+mathematical expressions (2__, 3__).
 
-* Import the following modules using the standard scipy conventions::
+.. _PEP8: https://www.python.org/dev/peps/pep-0008/
+.. _ruff: https://docs.astral.sh/ruff/
+.. _black: https://black.readthedocs.io/
+.. __: https://github.com/matplotlib/matplotlib/issues/18796
+.. __: https://github.com/psf/black/issues/148
+.. __: https://github.com/psf/black/issues/1984
 
-    import numpy as np
-    import numpy.ma as ma
-    import matplotlib as mpl
-    from matplotlib import pyplot as plt
-    import matplotlib.cbook as cbook
-    import matplotlib.collections as mcol
-    import matplotlib.patches as mpatches
 
-* See below for additional points about
-  :ref:`keyword-argument-processing`, if code in your pull request
-  does that.
+Package imports
+===============
 
-* Adding a new pyplot function involves generating code.  See
-  :ref:`new-pyplot-function` for more information.
+Import the following modules using the standard scipy conventions::
 
-Documentation
--------------
+  import numpy as np
+  import numpy.ma as ma
+  import matplotlib as mpl
+  import matplotlib.pyplot as plt
+  import matplotlib.cbook as cbook
+  import matplotlib.patches as mpatches
 
-* Every new feature should be documented.  If it's a new module, don't
-  forget to add a new rst file to the API docs.
+In general, Matplotlib modules should **not** import `.rcParams` using ``from
+matplotlib import rcParams``, but rather access it as ``mpl.rcParams``.  This
+is because some modules are imported very early, before the `.rcParams`
+singleton is constructed.
 
-* Docstrings should be in `numpydoc format
-  <https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt>`_.
-  Don't be thrown off by the fact that many of the existing docstrings
-  are not in that format;  we are working to standardize on
-  `numpydoc`.
+Variable names
+==============
 
-  Docstrings should look like (at a minimum)::
+When feasible, please use our internal variable naming convention for objects
+of a given class and objects of any child class:
 
-        def foo(bar, baz=None):
-            """
-            This is a prose description of foo and all the great
-            things it does.
++------------------------------------+---------------+------------------------------------------+
+|             base class             | variable      |                multiples                 |
++====================================+===============+==========================================+
+| `~matplotlib.figure.FigureBase`    | ``fig``       |                                          |
++------------------------------------+---------------+------------------------------------------+
+| `~matplotlib.axes.Axes`            | ``ax``        |                                          |
++------------------------------------+---------------+------------------------------------------+
+| `~matplotlib.transforms.Transform` | ``trans``     | ``trans_<source>_<target>``              |
++                                    +               +                                          +
+|                                    |               | ``trans_<source>`` when target is screen |
++------------------------------------+---------------+------------------------------------------+
 
-            Parameters
-            ----------
-            bar : (type of bar)
-                A description of bar
+Generally, denote more than one instance of the same class by adding suffixes to
+the variable names. If a format isn't specified in the table, use numbers or
+letters as appropriate.
 
-            baz : (type of baz), optional
-                A description of baz
+.. _type-hints:
 
-            Returns
-            -------
-            foobar : (type of foobar)
-                A description of foobar
-            foobaz : (type of foobaz)
-                A description of foobaz
-            """
-            # some very clever code
-            return foobar, foobaz
+Type hints
+==========
 
+If you add new public API or change public API, update or add the
+corresponding `mypy <https://mypy.readthedocs.io/en/latest/>`_ type hints.
+We generally use `stub files
+<https://typing.readthedocs.io/en/latest/source/stubs.html#type-stubs>`_
+(``*.pyi``) to store the type information; for example ``colors.pyi`` contains
+the type information for ``colors.py``. A notable exception is ``pyplot.py``,
+which is type hinted inline.
 
-* Each high-level plotting function should have a simple example in
-  the `Example` section of the docstring.  This should be as simple as
-  possible to demonstrate the method.  More complex examples should go
-  in the `examples` tree.
+Type hints can be validated by the `stubtest
+<https://mypy.readthedocs.io/en/stable/stubtest.html>`_ tool, which can be run
+locally using ``tox -e stubtest`` and is a part of the :ref:`automated-tests`
+suite. Type hints for existing functions are also checked by the mypy
+:ref:`pre-commit hook <pre-commit-hooks>`.
 
-* Build the docs and make sure all formatting warnings are addressed.
 
-* See :ref:`documenting-matplotlib` for our documentation style guide.
+New modules and files: installation
+===================================
 
-* If your changes are non-trivial, please make an entry in the
-  :file:`CHANGELOG`.
-
-* If your change is a major new feature, add an entry to
-  :file:`doc/users/whats_new.rst`.
-
-* If you change the API in a backward-incompatible way, please
-  document it in :file:`doc/api/api_changes.rst`.
-
-Testing
--------
-
-Using the test framework is discussed in detail in the section
-:ref:`testing`.
-
-* If the PR is a bugfix, add a test that fails prior to the change and
-  passes with the change.  Include any relevant issue numbers in the
-  docstring of the test.
-
-* If this is a new feature, add a test that exercises as much of the
-  new feature as possible.  (The `--with-coverage` option may be
-  useful here).
-
-* Make sure the Travis tests are passing before merging.
-
-  - The Travis tests automatically test on all of the Python versions
-    matplotlib supports whenever a pull request is created or updated.
-    The `tox` support in matplotlib may be useful for testing locally.
-
-Installation
-------------
-
-* If you have added new files or directories, or reorganized existing
-  ones, make sure the new files included in the match patterns in
-  :file:`MANIFEST.in`, and/or in `package_data` in `setup.py`.
+* If you have added new files or directories, or reorganized existing ones, make sure the
+  new files are included in the :file:`meson.build` in the corresponding directories.
+* New modules *may* be typed inline or using parallel stub file like existing modules.
 
 C/C++ extensions
-----------------
+================
 
 * Extensions may be written in C or C++.
 
 * Code style should conform to PEP7 (understanding that PEP7 doesn't
   address C++, but most of its admonitions still apply).
 
-* Interfacing with Python may be done either with the raw Python/C API
-  or Cython.
-
 * Python/C interface code should be kept separate from the core C/C++
-  code.  The interface code should be named `FOO_wrap.cpp` or
-  `FOO_wrapper.cpp`.
+  code.  The interface code should be named :file:`FOO_wrap.cpp` or
+  :file:`FOO_wrapper.cpp`.
 
 * Header file documentation (aka docstrings) should be in Numpydoc
   format.  We don't plan on using automated tools for these
   docstrings, and the Numpydoc format is well understood in the
   scientific Python community.
 
-Style guide
-===========
+* C/C++ code in the :file:`extern/` directory is vendored, and should be kept
+  close to upstream whenever possible.  It can be modified to fix bugs or
+  implement new features only if the required changes cannot be made elsewhere
+  in the codebase.  In particular, avoid making style fixes to it.
 
 .. _keyword-argument-processing:
 
 Keyword argument processing
----------------------------
+===========================
 
-Matplotlib makes extensive use of ``**kwargs`` for pass-through
-customizations from one function to another.  A typical example is in
-:func:`matplotlib.pylab.text`.  The definition of the pylab text
-function is a simple pass-through to
-:meth:`matplotlib.axes.Axes.text`::
+Matplotlib makes extensive use of ``**kwargs`` for pass-through customizations
+from one function to another.  A typical example is
+`~matplotlib.axes.Axes.text`.  The definition of `matplotlib.pyplot.text` is a
+simple pass-through to `matplotlib.axes.Axes.text`::
 
-  # in pylab.py
-  def text(*args, **kwargs):
-      ret =  gca().text(*args, **kwargs)
-      draw_if_interactive()
-      return ret
+  # in pyplot.py
+  def text(x, y, s, fontdict=None, **kwargs):
+      return gca().text(x, y, s, fontdict=fontdict, **kwargs)
 
-:meth:`~matplotlib.axes.Axes.text` in simplified form looks like this,
-i.e., it just passes all ``args`` and ``kwargs`` on to
-:meth:`matplotlib.text.Text.__init__`::
+`matplotlib.axes.Axes.text` (simplified for illustration) just
+passes all ``args`` and ``kwargs`` on to ``matplotlib.text.Text.__init__``::
 
-  # in axes.py
-  def text(self, x, y, s, fontdict=None, withdash=False, **kwargs):
+  # in axes/_axes.py
+  def text(self, x, y, s, fontdict=None, **kwargs):
       t = Text(x=x, y=y, text=s, **kwargs)
 
-and :meth:`~matplotlib.text.Text.__init__` (again with liberties for
-illustration) just passes them on to the
-:meth:`matplotlib.artist.Artist.update` method::
+and ``matplotlib.text.Text.__init__`` (again, simplified)
+just passes them on to the `matplotlib.artist.Artist.update` method::
 
   # in text.py
   def __init__(self, x=0, y=0, text='', **kwargs):
-      Artist.__init__(self)
+      super().__init__()
       self.update(kwargs)
 
 ``update`` does the work looking for methods named like
@@ -213,108 +173,148 @@ on, use the key/value keyword args in the function definition rather
 than the ``**kwargs`` idiom.
 
 In some cases, you may want to consume some keys in the local
-function, and let others pass through.  You can ``pop`` the ones to be
-used locally and pass on the rest.  For example, in
+function, and let others pass through.  Instead of popping arguments to
+use off ``**kwargs``, specify them as keyword-only arguments to the local
+function.  This makes it obvious at a glance which arguments will be
+consumed in the function.  For example, in
 :meth:`~matplotlib.axes.Axes.plot`, ``scalex`` and ``scaley`` are
 local arguments and the rest are passed on as
 :meth:`~matplotlib.lines.Line2D` keyword arguments::
 
-  # in axes.py
-  def plot(self, *args, **kwargs):
-      scalex = kwargs.pop('scalex', True)
-      scaley = kwargs.pop('scaley', True)
-      if not self._hold: self.cla()
+  # in axes/_axes.py
+  def plot(self, *args, scalex=True, scaley=True, **kwargs):
       lines = []
       for line in self._get_lines(*args, **kwargs):
           self.add_line(line)
           lines.append(line)
 
-Note: there is a use case when ``kwargs`` are meant to be used locally
-in the function (not passed on), but you still need the ``**kwargs``
-idiom.  That is when you want to use ``*args`` to allow variable
-numbers of non-keyword args.  In this case, python will not allow you
-to use named keyword args after the ``*args`` usage, so you will be
-forced to use ``**kwargs``.  An example is
-:meth:`matplotlib.contour.ContourLabeler.clabel`::
+.. _using_logging:
+
+Using logging for debug messages
+================================
+
+Matplotlib uses the standard Python `logging` library to write verbose
+warnings, information, and debug messages. Please use it! In all those places
+you write `print` calls to do your debugging, try using `logging.debug`
+instead!
+
+
+To include `logging` in your module, at the top of the module, you need to
+``import logging``.  Then calls in your code like::
+
+  _log = logging.getLogger(__name__)  # right after the imports
+
+  # code
+  # more code
+  _log.info('Here is some information')
+  _log.debug('Here is some more detailed information')
+
+will log to a logger named ``matplotlib.yourmodulename``.
+
+If an end-user of Matplotlib sets up `logging` to display at levels more
+verbose than ``logging.WARNING`` in their code with the Matplotlib-provided
+helper::
+
+  plt.set_loglevel("debug")
+
+or manually with ::
+
+  import logging
+  logging.basicConfig(level=logging.DEBUG)
+  import matplotlib.pyplot as plt
+
+Then they will receive messages like
+
+.. code-block:: none
+
+   DEBUG:matplotlib.backends:backend MacOSX version unknown
+   DEBUG:matplotlib.yourmodulename:Here is some information
+   DEBUG:matplotlib.yourmodulename:Here is some more detailed information
+
+Avoid using pre-computed strings (``f-strings``, ``str.format``,etc.) for logging because
+of security and performance issues, and because they interfere with style handlers. For
+example, use ``_log.error('hello %s', 'world')``  rather than ``_log.error('hello
+{}'.format('world'))`` or ``_log.error(f'hello {s}')``.
+
+Which logging level to use?
+---------------------------
+
+There are five levels at which you can emit messages.
 
-  # in contour.py
-  def clabel(self, *args, **kwargs):
-      fontsize = kwargs.get('fontsize', None)
-      inline = kwargs.get('inline', 1)
-      self.fmt = kwargs.get('fmt', '%1.3f')
-      colors = kwargs.get('colors', None)
-      if len(args) == 0:
-          levels = self.levels
-          indices = range(len(self.levels))
-      elif len(args) == 1:
-         ...etc...
+- `logging.critical` and `logging.error` are really only there for errors that
+  will end the use of the library but not kill the interpreter.
+- `logging.warning` and `._api.warn_external` are used to warn the user,
+  see below.
+- `logging.info` is for information that the user may want to know if the
+  program behaves oddly. They are not displayed by default. For instance, if
+  an object isn't drawn because its position is ``NaN``, that can usually
+  be ignored, but a mystified user could call
+  ``logging.basicConfig(level=logging.INFO)`` and get an error message that
+  says why.
+- `logging.debug` is the least likely to be displayed, and hence can be the
+  most verbose.  "Expected" code paths (e.g., reporting normal intermediate
+  steps of layouting or rendering) should only log at this level.
 
-Hints
-=====
+By default, `logging` displays all log messages at levels higher than
+``logging.WARNING`` to `sys.stderr`.
 
-This section describes how to add certain kinds of new features to
-matplotlib.
+The `logging tutorial`_ suggests that the difference between `logging.warning`
+and `._api.warn_external` (which uses `warnings.warn`) is that
+`._api.warn_external` should be used for things the user must change to stop
+the warning (typically in the source), whereas `logging.warning` can be more
+persistent. Moreover, note that `._api.warn_external` will by default only
+emit a given warning *once* for each line of user code, whereas
+`logging.warning` will display the message every time it is called.
 
-.. _custom_backend:
+By default, `warnings.warn` displays the line of code that has the ``warn``
+call. This usually isn't more informative than the warning message itself.
+Therefore, Matplotlib uses `._api.warn_external` which uses `warnings.warn`,
+but goes up the stack and displays the first line of code outside of
+Matplotlib. For example, for the module::
 
-Developing a new backend
-------------------------
+    # in my_matplotlib_module.py
+    import warnings
 
-If you are working on a custom backend, the *backend* setting in
-:file:`matplotlibrc` (:ref:`customizing-matplotlib`) supports an
-external backend via the ``module`` directive.  if
-:file:`my_backend.py` is a matplotlib backend in your
-:envvar:`PYTHONPATH`, you can set use it on one of several ways
+    def set_range(bottom, top):
+        if bottom == top:
+            warnings.warn('Attempting to set identical bottom==top')
 
-* in matplotlibrc::
+running the script::
 
-    backend : module://my_backend
+    from matplotlib import my_matplotlib_module
+    my_matplotlib_module.set_range(0, 0)  # set range
 
-* with the use directive is your script::
+will display
 
-    import matplotlib
-    matplotlib.use('module://my_backend')
+.. code-block:: none
 
-* from the command shell with the -d flag::
+    UserWarning: Attempting to set identical bottom==top
+    warnings.warn('Attempting to set identical bottom==top')
 
-    > python simple_plot.py -d module://my_backend
+Modifying the module to use `._api.warn_external`::
 
+    from matplotlib import _api
 
-.. _sample-data:
+    def set_range(bottom, top):
+        if bottom == top:
+            _api.warn_external('Attempting to set identical bottom==top')
 
-Writing examples
-----------------
+and running the same script will display
 
-We have hundreds of examples in subdirectories of
-:file:`matplotlib/examples`, and these are automatically generated
-when the website is built to show up both in the `examples
-<../examples/index.html>`_ and `gallery
-<../gallery.html>`_ sections of the website.
+.. code-block:: none
 
-Any sample data that the example uses should be kept small and
-distributed with matplotlib in the
-`lib/matplotlib/mpl-data/sample_data/` directory.  Then in your
-example code you can load it into a file handle with::
+   UserWarning: Attempting to set identical bottom==top
+   my_matplotlib_module.set_range(0, 0)  # set range
 
-    import matplotlib.cbook as cbook
-    fh = cbook.get_sample_data('mydata.dat')
+.. _logging tutorial: https://docs.python.org/3/howto/logging.html#logging-basic-tutorial
 
-.. _new-pyplot-function:
 
-Writing a new pyplot function
------------------------------
+.. _licence-coding-guide:
 
-A large portion of the pyplot interface is automatically generated by the
-`boilerplate.py` script (in the root of the source tree). To add or remove
-a plotting method from pyplot, edit the appropriate list in `boilerplate.py`
-and then run the script which will update the content in
-`lib/matplotlib/pyplot.py`. Both the changes in `boilerplate.py` and
-`lib/matplotlib/pyplot.py` should be checked into the repository.
+.. include:: license.rst
+  :start-line: 2
 
-Note: boilerplate.py looks for changes in the installed version of matplotlib
-and not the source tree. If you expect the pyplot.py file to show your new
-changes, but they are missing, this might be the cause.
+.. toctree::
+   :hidden:
 
-Install your new files by running `python setup.py build` and `python setup.py
-install` followed by `python boilerplate.py`. The new pyplot.py file should now
-have the latest changes.
+   license.rst
diff --git a/doc/devel/communication_guide.rst b/doc/devel/communication_guide.rst
new file mode 100644
index 000000000000..e44d9368da93
--- /dev/null
+++ b/doc/devel/communication_guide.rst
@@ -0,0 +1,269 @@
+.. _communications-guidelines:
+
+==========================
+Community management guide
+==========================
+
+These guidelines are applicable when **acting as a representative** of Matplotlib,
+for example at sprints or when giving official talks or tutorials, and in any
+community venue managed by Matplotlib.
+
+Our approach to community engagement is foremost guided by our :ref:`mission-statement`:
+
+* We demonstrate that we care about visualization as a practice.
+* We deepen our practice and the community’s capacity to support users,
+  facilitate exploration, produce high quality visualizations, and be
+  understandable and extensible.
+* We showcase advanced use of the library without adding maintenance burden to
+  the documentation and recognize contributions that happen outside of the github
+  workflow.
+* We use communications platforms to maintain relationships with contributors
+  who may no longer be active on GitHub, build relationships with potential
+  contributors, and connect with other projects and communities who use
+  Matplotlib.
+* In prioritizing understandability and extensibility, we recognize that people
+  using Matplotlib, in whatever capacity, are part of our community. Doing so
+  empowers our community members to build community with each other, for example
+  by creating educational resources, building third party tools, and building
+  informal mentoring networks.
+
+.. _communication-channels:
+
+Official communication channels
+===============================
+The Scientific Python community uses various communications platforms to stay
+updated on new features and projects, to contribute by telling us what is on
+their mind and suggest issues and bugs, and to showcase their use cases and the
+tools they have built.
+
+The following venues are managed by Matplotlib maintainers and contributors:
+
+* library and docs: https://github.com/matplotlib/matplotlib
+* forum: https://discourse.matplotlib.org/
+* chat: `https://matrix.to/#/#matplotlib:matrix.org <https://matrix.to/#/#matplotlib:matrix.org>`_
+* blog: https://blog.scientific-python.org/
+
+.. _social-media:
+
+Social media
+------------
+
+Active social media
+^^^^^^^^^^^^^^^^^^^
+
+* https://bsky.app/profile/matplotlib.bsky.social
+* https://fosstodon.org/@matplotlib
+* https://x.com/matplotlib
+* https://instagram.com/matplotart/
+
+Official accounts
+^^^^^^^^^^^^^^^^^
+
+* https://www.tiktok.com/@matplotart
+* https://www.youtube.com/matplotlib
+
+
+.. _mailing-lists:
+
+Mailing lists
+-------------
+
+* `matplotlib-announce@python.org <https://mail.python.org/mailman/listinfo/matplotlib-announce>`_
+* `matplotlib-users@python.org <https://mail.python.org/mailman/listinfo/matplotlib-users>`_
+* `matplotlib-devel@python.org <https://mail.python.org/mailman/listinfo/matplotlib-devel>`_
+
+.. _social-media-coordination:
+
+Social media coordination
+-------------------------
+* Team mailing list: matplotlib-social@numfocus.org
+* Public chat room: `https://matrix.to/#/#matplotlib_community:gitter.im <https://matrix.to/#/#matplotlib_community:gitter.im>`_
+
+
+Maintenance
+-----------
+
+If you are interested in moderating the chat or forum or accessing the social
+media accounts:
+
+* Matplotlib maintainers should reach out to the `community-manager`_.
+
+* Everyone else should send an email to matplotlib-social-admin@numfocus.org:
+
+  * Introduce yourself - GitHub handle and participation in the community.
+  * Describe the reason for wanting to moderate or contribute to social.
+
+
+Content guidelines
+==================
+
+Communication on official channels, such as the Matplotlib homepage or on
+Matplotlib social accounts, should conform to the following standards. If you
+are unsure if content that you would like to post or share meets these
+guidelines, ask on the :ref:`social-media-coordination` channels before posting.
+
+General guidelines
+------------------
+
+* Do not share information that violates Matplotlib's :ref:`code of conduct <code_of_conduct>` or does not align with Matplotlib's :ref:`mission-statement`.
+
+* Focus on Matplotlib, 3rd party packages, and visualizations made with Matplotlib.
+* These are also acceptable topics:
+
+  * Visualization best practices and libraries.
+  * Projects and initiatives by NumFOCUS and Scientific Python.
+  * How to contribute to open source projects.
+  * Projects, such as scientific papers, that use Matplotlib.
+
+* No gratuitous disparaging of other visualization libraries and tools, but
+  criticism is acceptable so long as it serves a constructive purpose.
+
+* Follow communication best practices:
+
+  * Do not share non-expert visualizations when it could cause harm, e.g.:
+
+    * Could the information affect someone's decisions in a way that impacts their personal health or safety?
+    * Could the information be used as part of a politicised debate?
+
+  * Clearly state when the visualization data/conclusions cannot be verified.
+  * Do not rely on machine translations for sensitive visualization.
+
+* Verify sourcing of content (especially on Instagram & blog):
+
+  * Instagram/blog: ensure mpl has right to repost/share content
+  * Make sure content is clearly cited:
+
+    * e.g. a tutorial reworking an example must credit the original example
+
+* Limited self/corporate promotion is acceptable.
+
+  * Should be no more than about a quarter of the content.
+
+Visual media guidelines
+-----------------------
+
+Visual media, such as images and videos, must not violate the
+:ref:`code of conduct <code_of_conduct>`, nor any platform's rules.
+Specifically:
+
+* Visual media must conform to the guidelines of all sites it may be posted on:
+
+  * https://help.x.com/en/rules-and-policies/x-rules
+  * https://help.instagram.com/477434105621119
+
+* Emphasize the visualization techniques demonstrated by the visual media.
+* Clearly state that sharing is not an endorsement of the content.
+
+  * e.g. bitcoin related visualizations
+
+Accessibility
+^^^^^^^^^^^^^
+
+Visual media in communications should be made as accessible as possible:
+
+* Add alt text to images and videos when the platform allows:
+
+  * `alt text for data viz <https://medium.com/nightingale/writing-alt-text-for-data-visualization-2a218ef43f81>`_
+  * `general alt text guide <https://webaim.org/techniques/alttext/>`_
+
+* Warn on bright, strobing, images & turn off autoplay if possible.
+* For images and videos made by the social media team:
+
+  * Make graphic perceivable to people who cannot perceive color well due to
+    color-blindness, low vision, or any other reason.
+
+  * Do not make bright, strobing images.
+  * More guidelines at https://webaim.org/techniques/images/.
+
+.. _social-media-brand:
+
+Social media
+============
+
+Matplotlib aims for a single voice across all social media platforms to build and
+maintain a consistent brand identity for Matplotlib as an organization. This
+depersonalization is the norm on social media platforms because it enables
+constructive and productive conversations; People generally feel more comfortable
+giving negative and constructive feedback to a brand than to specific contributors.
+
+The current Matplotlib voice and persona aims to be kind, patient, supportive and
+educational. This is so that it can de-escalate tensions and facilitate
+constructive conversations; being perceived as negative or
+argumentative can escalate very fast into long-lasting brand damage, being
+perceived as personal leads to aggression and accusations faster than an
+impersonal account, and being perceived as friendly and approachable leads to
+higher engagement. Instead of speaking with a directive authority, which can be
+intimidating and lead to negative engagement, it speaks as a peer or educator to
+empower participation. The current voice encourages more input from folks we
+engage with, and also makes it possible for folks who are not in the core team
+to participate in managing the account.
+
+While the :ref:`brand identity <social-media-brand>` is casual, the showcased
+content is high quality, peer-led resource building. Please follow these
+guidelines to maintain a consistent brand identity across platforms.
+
+Persona
+-------
+On social media, Matplotlib:
+
+* Acts as a sentient visualization library, so talks about itself as a we, us,
+  our, and it. Avoids talking about itself in the 3rd person. Never uses 1st person.
+* Is very earnest, eager to please, and aims to be patient & painfully oblivious
+  to snark and sarcasm.
+* Gets over-excited over shiny visualizations - lots of emojis and the like -
+  and encourages folks to share their work.
+* Highlights various parts of the library, especially the more obscure bits and
+  bobbles.
+* Acknowledges that it is a sometimes frustrating tangle of bits & bobbles that
+  can confuse even the folks who work on it & signal boosts their confuzzlment.
+
+
+Behavior
+--------
+When acting as a representative of the library, keep responses polite and assume
+user statements are in good faith unless they violate the :ref:`code of conduct <code_of_conduct>`.
+
+Social graph
+------------
+
+Only follow **organizations and projects**, do not follow individual accounts for
+any reason, even maintainers/project leads/famous Python people!
+
+Following these types of accounts is encouraged:
+
+* NumFocus and Scientific Python projects
+* 3rd party packages
+* Visualization related projects and organizations
+* Open Source community projects
+* Sponsors
+
+Recurring campaigns
+-------------------
+
+Typically the social media accounts will promote the following:
+
+* Matplotlib releases:
+
+  * Highlight new features & major deprecations
+  * Link to download/install instructions
+  * Ask folks to try it out.
+
+* `third party packages <https://matplotlib.org/mpl-third-party/>`_
+* NumFocus/Scientific Python/open source visualization project releases
+* GSOC/GSOD recruiting and progress
+
+Retired campaigns
+^^^^^^^^^^^^^^^^^
+* John Hunter Excellence in Plotting, submission and winners
+
+
+Changing the guidelines
+=======================
+
+As the person tasked with implementing these guidelines, the `community-manager`_
+should be alerted to proposed changes. Similarly, specific platform guidelines
+(e.g. X, Instagram) should be reviewed by the person responsible for that
+platform, when different from the community manager. If there is no consensus,
+decisions about guidelines revert to the community manager.
+
+.. _community-manager: https://matplotlib.org/governance/people.html#deputy-project-leads
diff --git a/doc/devel/contribute.rst b/doc/devel/contribute.rst
new file mode 100644
index 000000000000..558e19790d82
--- /dev/null
+++ b/doc/devel/contribute.rst
@@ -0,0 +1,355 @@
+.. redirect-from:: /devel/contributing
+
+.. _contributing:
+
+******************
+Contributing guide
+******************
+You've discovered a bug or something else you want to change
+in Matplotlib — excellent!
+
+You've worked out a way to fix it — even better!
+
+You want to tell us about it — best of all!
+
+Below, you can find a number of ways to contribute, and how to connect with the
+Matplotlib community.
+
+Ways to contribute
+==================
+.. dropdown:: Do I really have something to contribute to Matplotlib?
+    :open:
+    :icon: person-fill
+
+    100% yes! There are so many ways to contribute to our community. Take a look
+    at the following sections to learn more.
+
+    There are a few typical new contributor profiles:
+
+    * **You are a Matplotlib user, and you see a bug, a potential improvement, or
+      something that annoys you, and you can fix it.**
+
+      You can search our issue tracker for an existing issue that describes your problem or
+      open a new issue to inform us of the problem you observed and discuss the best approach
+      to fix it. If your contributions would not be captured on GitHub (social media,
+      communication, educational content), you can also reach out to us on gitter_,
+      `Discourse <https://discourse.matplotlib.org/>`__ or attend any of our `community
+      meetings <https://scientific-python.org/calendars>`__.
+
+    * **You are not a regular Matplotlib user but a domain expert: you know about
+      visualization, 3D plotting, design, technical writing, statistics, or some
+      other field where Matplotlib could be improved.**
+
+      Awesome — you have a focus on a specific application and domain and can
+      start there. In this case, maintainers can help you figure out the best
+      implementation; open an issue or pull request with a starting point, and we'll
+      be happy to discuss technical approaches.
+
+      If you prefer, you can use the `GitHub functionality for "draft" pull requests
+      <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/changing-the-stage-of-a-pull-request#converting-a-pull-request-to-a-draft>`__
+      and request early feedback on whatever you are working on, but you should be
+      aware that maintainers may not review your contribution unless it has the
+      "Ready to review" state on GitHub.
+
+    * **You are new to Matplotlib, both as a user and contributor, and want to start
+      contributing but have yet to develop a particular interest.**
+
+      Having some previous experience or relationship with the library can be very
+      helpful when making open-source contributions. It helps you understand why
+      things are the way they are and how they *should* be. Having first-hand
+      experience and context is valuable both for what you can bring to the
+      conversation (and given the breadth of Matplotlib's usage, there is a good
+      chance it is a unique context in any given conversation) and make it easier to
+      understand where other people are coming from.
+
+      Understanding the entire codebase is a long-term project, and nobody expects
+      you to do this right away. If you are determined to get started with
+      Matplotlib and want to learn, going through the basic functionality,
+      choosing something to focus on (3d, testing, documentation, animations, etc.)
+      and gaining context on this area by reading the issues and pull requests
+      touching these subjects is a reasonable approach.
+
+.. _contribute_code:
+
+Code
+----
+You want to implement a feature or fix a bug or help with maintenance - much
+appreciated! Our library source code is found in:
+
+* Python library code: :file:`lib/`
+* C-extension code: :file:`src/`
+* Tests: :file:`lib/matplotlib/tests/`
+
+Because many people use and work on Matplotlib, we have guidelines for keeping
+our code consistent and mitigating the impact of changes.
+
+* :ref:`coding_guidelines`
+* :ref:`api_changes`
+* :ref:`pr-guidelines`
+
+Code is contributed through pull requests, so we recommend that you start at
+:ref:`how-to-pull-request` If you get stuck, please reach out on the
+:ref:`contributor_incubator`
+
+.. _contribute_documentation:
+
+Documentation
+-------------
+
+You, as an end-user of Matplotlib can make a valuable contribution because you can
+more clearly see the potential for improvement than a core developer. For example,
+you can:
+
+- Fix a typo
+- Clarify a docstring
+- Write or update an :ref:`example plot <gallery>`
+- Write or update a comprehensive :ref:`tutorial <tutorials>`
+
+Our code is documented inline in the source code files in :file:`matplotlib/lib`.
+Our website structure mirrors our folder structure, meaning that a narrative
+document's URL roughly corresponds to its location in our folder structure:
+
+.. grid:: 1 1 2 2
+
+  .. grid-item:: using the library
+
+      * :file:`galleries/plot_types/`
+      * :file:`users/getting_started/`
+      * :file:`galleries/user_explain/`
+      * :file:`galleries/tutorials/`
+      * :file:`galleries/examples/`
+      * :file:`doc/api/`
+
+  .. grid-item:: information about the library
+
+      * :file:`doc/install/`
+      * :file:`doc/project/`
+      * :file:`doc/devel/`
+      * :file:`doc/users/resources/index.rst`
+      * :file:`doc/users/faq.rst`
+
+
+Other documentation is generated from the following external sources:
+
+* matplotlib.org homepage: https://github.com/matplotlib/mpl-brochure-site
+* cheat sheets: https://github.com/matplotlib/cheatsheets
+* third party packages: https://github.com/matplotlib/mpl-third-party
+
+Instructions and guidelines for contributing documentation are found in:
+
+* :doc:`document`
+* :doc:`style_guide`
+* :doc:`tag_guidelines`
+
+Documentation is contributed through pull requests, so we recommend that you start
+at :ref:`how-to-pull-request`. If that feels intimidating, we encourage you to
+`open an issue`_ describing what improvements you would make. If you get stuck,
+please reach out on the :ref:`contributor_incubator`
+
+.. _`open an issue`: https://github.com/matplotlib/matplotlib/issues/new?assignees=&labels=Documentation&projects=&template=documentation.yml&title=%5BDoc%5D%3A+
+
+.. _contribute_triage:
+
+Triage
+------
+We appreciate your help keeping the `issue tracker <https://github.com/matplotlib/matplotlib/issues>`_
+organized because it is our centralized location for feature requests,
+bug reports, tracking major projects, and discussing priorities. Some examples of what
+we mean by triage are:
+
+* labeling issues and pull requests
+* verifying bug reports
+* debugging and resolving issues
+* linking to related issues, discussion, and external work
+
+Our triage process is discussed in detail in :ref:`bug_triaging`.
+
+If you have any questions about the process, please reach out on the
+:ref:`contributor_incubator`
+
+.. _other_ways_to_contribute:
+
+Community
+---------
+Matplotlib's community is built by its members, if you would like to help out
+see our :ref:`communications-guidelines`.
+
+It helps us if you spread the word: reference the project from your blog
+and articles or link to it from your website!
+
+If Matplotlib contributes to a project that leads to a scientific publication,
+please cite us following the :doc:`/project/citing` guidelines.
+
+If you have developed an extension to Matplotlib, please consider adding it to our
+`third party package <https://github.com/matplotlib/mpl-third-party>`_  list.
+
+
+.. _generative_ai:
+
+
+Restrictions on Generative AI Usage
+===================================
+
+We expect authentic engagement in our community.  Be wary of posting output
+from Large Language Models or similar generative AI as comments on GitHub or
+our discourse server, as such comments tend to be formulaic and low content.
+If you use generative AI tools as an aid in developing code or documentation
+changes, ensure that you fully understand the proposed changes and can explain
+why they are the correct approach and an improvement to the current state.
+
+
+.. _new_contributors:
+
+New contributors
+================
+
+Everyone comes to the project from a different place — in terms of experience
+and interest — so there is no one-size-fits-all path to getting involved.  We
+recommend looking at existing issue or pull request discussions, and following
+the conversations during pull request reviews to get context.  Or you can
+deep-dive into a subset of the code-base to understand what is going on.
+
+.. _new_contributors_meeting:
+
+New contributors meeting
+------------------------
+
+Once a month, we host a meeting to discuss topics that interest new
+contributors. Anyone can attend, present, or sit in and listen to the call.
+Among our attendees are fellow new contributors, as well as maintainers, and
+veteran contributors, who are keen to support onboarding of new folks and
+share their experience. You can find our community calendar link at the
+`Scientific Python website <https://scientific-python.org/calendars/>`_, and
+you can browse previous meeting notes on `GitHub
+<https://github.com/matplotlib/ProjectManagement/tree/master/new_contributor_meeting>`_.
+We recommend joining the meeting to clarify any doubts, or lingering
+questions you might have, and to get to know a few of the people behind the
+GitHub handles 😉. You can reach out to us on gitter_ for any clarifications or
+suggestions. We � feedback!
+
+.. _contributor_incubator:
+
+Contributor incubator
+---------------------
+
+The incubator is our non-public communication channel for new contributors. It
+is a private gitter_ (chat) room moderated by core Matplotlib developers where
+you can get guidance and support for your first few PRs. It's a place where you
+can ask questions about anything: how to use git, GitHub, how our PR review
+process works, technical questions about the code, what makes for good
+documentation or a blog post, how to get involved in community work, or get a
+"pre-review" on your PR.
+
+To join, please go to our public community_ channel, and ask to be added to
+``#incubator``. One of our core developers will see your message and will add you.
+
+.. _gitter: https://gitter.im/matplotlib/matplotlib
+.. _community: https://gitter.im/matplotlib/community
+
+.. _good_first_issues:
+
+Good first issues
+-----------------
+
+While any contributions are welcome, we have marked some issues as
+particularly suited for new contributors by the label `good first issue
+<https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_. These
+are well documented issues, that do not require a deep understanding of the
+internals of Matplotlib. The issues may additionally be tagged with a
+difficulty. ``Difficulty: Easy`` is suited for people with little Python
+experience. ``Difficulty: Medium`` and ``Difficulty: Hard`` require more
+programming experience. This could be for a variety of reasons, among them,
+though not necessarily all at the same time:
+
+- The issue is in areas of the code base which have more interdependencies,
+  or legacy code.
+- It has less clearly defined tasks, which require some independent
+  exploration, making suggestions, or follow-up discussions to clarify a good
+  path to resolve the issue.
+- It involves Python features such as decorators and context managers, which
+  have subtleties due to our implementation decisions.
+
+.. _first_contribution:
+
+First contributions
+-------------------
+
+If this is your first open source contribution, or your first time contributing to Matplotlib,
+and you need help or guidance finding a good first issue, look no further. This section will
+guide you through each step:
+
+1. Navigate to the `issues page <https://github.com/matplotlib/matplotlib/issues/>`_.
+2. Filter labels with `"Difficulty: Easy" <https://github.com/matplotlib/matplotlib/labels/Difficulty%3A%20Easy>`_
+   & `"Good first Issue" <https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_ (optional).
+3. Click on an issue you would like to work on, and check to see if the issue has a pull request opened to resolve it.
+
+   * A good way to judge if you chose a suitable issue is by asking yourself, "Can I independently submit a PR in 1-2 weeks?"
+4. Check existing pull requests (e.g., :ghpull:`28476`) and filter by the issue number to make sure the issue is not in progress:
+
+   * If the issue has a pull request (is in progress), tag the user working on the issue, and ask to collaborate (optional).
+   * If a pull request does not exist, create a `draft pull request <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests#draft-pull-requests>`_ and follow the `pull request guidelines <https://matplotlib.org/devdocs/devel/pr_guide.html>`_.
+5. Please familiarize yourself with the pull request template (see below),
+   and ensure you understand/are able to complete the template when you open your pull request.
+   Additional information can be found in the `pull request guidelines <https://matplotlib.org/devdocs/devel/pr_guide.html>`_.
+
+.. dropdown:: `Pull request template <https://github.com/matplotlib/matplotlib/blob/main/.github/PULL_REQUEST_TEMPLATE.md>`_
+    :open:
+
+    .. literalinclude:: ../../.github/PULL_REQUEST_TEMPLATE.md
+       :language: markdown
+
+.. _get_connected:
+
+Get connected
+=============
+
+When in doubt, we recommend going together! Get connected with our community of
+active contributors, many of whom felt just like you when they started out and
+are happy to welcome you and support you as you get to know how we work, and
+where things are. You can reach out on any of our :ref:`communication-channels`.
+For development questions we recommend reaching out on our development gitter_
+chat room and for community questions reach out at community_.
+
+.. _gitter: https://gitter.im/matplotlib/matplotlib
+.. _community: https://gitter.im/matplotlib/community
+
+.. _managing_issues_prs:
+
+Choose an issue
+===============
+
+In general, the Matplotlib project does not assign issues. Issues are
+"assigned" or "claimed" by opening a PR; there is no other assignment
+mechanism. If you have opened such a PR, please comment on the issue thread to
+avoid duplication of work. Please check if there is an existing PR for the
+issue you are addressing. If there is, try to work with the author by
+submitting reviews of their code or commenting on the PR rather than opening
+a new PR; duplicate PRs are subject to being closed.  However, if the existing
+PR is an outline, unlikely to work, or stalled, and the original author is
+unresponsive, feel free to open a new PR referencing the old one.
+
+.. _how-to-pull-request:
+
+Start a pull request
+====================
+
+The preferred way to contribute to Matplotlib is to fork the `main
+repository <https://github.com/matplotlib/matplotlib/>`__ on GitHub,
+then submit a "pull request" (PR). To work on a a pull request:
+
+#. **First** set up a development environment, either by cloning a copy of the
+   Matplotlib repository to your own computer or by using Github codespaces, by
+   following the instructions in :ref:`installing_for_devs`
+
+#. **Then** start solving the issue, following the guidance in
+   :ref:`development workflow <development-workflow>`
+
+#. **As part of verifying your changes** check that your contribution meets
+   the :ref:`pull request guidelines <pr-author-guidelines>`
+   and then :ref:`open a pull request <open-pull-request>`.
+
+#. **Finally** follow up with maintainers on the PR if waiting more than a few days for
+   feedback.  :ref:`Update the pull request <update-pull-request>` as needed.
+
+If you have questions of any sort, reach out on the :ref:`contributor_incubator` and join
+the :ref:`new_contributors_meeting`.
diff --git a/doc/devel/development_setup.rst b/doc/devel/development_setup.rst
new file mode 100644
index 000000000000..45b95e48e7ff
--- /dev/null
+++ b/doc/devel/development_setup.rst
@@ -0,0 +1,356 @@
+.. highlight:: bash
+
+.. redirect-from:: /devel/gitwash/configure_git
+.. redirect-from:: /devel/gitwash/dot2_dot3
+.. redirect-from:: /devel/gitwash/following_latest
+.. redirect-from:: /devel/gitwash/forking_hell
+.. redirect-from:: /devel/gitwash/git_development
+.. redirect-from:: /devel/gitwash/git_install
+.. redirect-from:: /devel/gitwash/git_intro
+.. redirect-from:: /devel/gitwash/git_resources
+.. redirect-from:: /devel/gitwash/patching
+.. redirect-from:: /devel/gitwash/set_up_fork
+.. redirect-from:: /devel/gitwash/index
+
+.. _installing_for_devs:
+
+=====================================
+Setting up Matplotlib for development
+=====================================
+
+To set up Matplotlib for development follow these steps:
+
+.. contents::
+   :local:
+
+Fork the Matplotlib repository
+==============================
+
+Matplotlib is hosted at https://github.com/matplotlib/matplotlib.git. If you
+plan on solving issues or submitting pull requests to the main Matplotlib
+repository, you should first fork this repository by *clicking* the
+:octicon:`repo-forked` **Fork** button near the top of the `project repository <https://github.com/matplotlib/matplotlib>`_ page.
+
+This creates a copy of the code under your account on the GitHub server. See `the GitHub
+documentation <https://docs.github.com/get-started/quickstart/fork-a-repo>`__ for more details.
+
+Set up development environment
+==============================
+
+You can either work locally on your machine, or online in
+`GitHub Codespaces <github-codespaces_>`_, a cloud-based in-browser development
+environment.
+
+
+:local: If you are making extensive or frequent contributions to Matplotlib then it
+        is probably worth taking the time to set up on your local machine: As well as
+        having the convenience of your local familiar tools, you will not need to worry
+        about Codespace's monthly usage limits.
+
+:codespaces: If you are making a one-off, relatively simple, change then working in
+            GitHub Codespaces can be a good option because most of the setting
+            up is done for you and you can skip the next few sections.
+
+If you want to use Codespaces, skip to :ref:`development-codespaces`,
+otherwise, continue with the next section.
+
+Create local environment
+------------------------
+
+Get most recent code
+^^^^^^^^^^^^^^^^^^^^
+
+Now that your fork of the repository lives under your GitHub username, you can
+retrieve the most recent version of the source code with one of the following
+commands (replace ``<your-username>`` with your GitHub username):
+
+.. tab-set::
+
+   .. tab-item:: https
+
+      .. code-block:: bash
+
+         git clone https://github.com/<your-username>/matplotlib.git
+
+   .. tab-item:: ssh
+
+      .. code-block:: bash
+
+         git clone git@github.com:<your-username>/matplotlib.git
+
+      This requires you to setup an `SSH key`_ in advance, but saves you from
+      typing your password at every connection.
+
+      .. _SSH key: https://docs.github.com/en/authentication/connecting-to-github-with-ssh
+
+
+This will place the sources in a directory :file:`matplotlib` below your
+current working directory and set the remote name ``origin`` to point to your
+fork. Change into this directory before continuing::
+
+    cd matplotlib
+
+Now set the remote name ``upstream`` to point to the Matplotlib main repository:
+
+.. tab-set::
+
+   .. tab-item:: https
+
+      .. code-block:: bash
+
+         git remote add upstream https://github.com/matplotlib/matplotlib.git
+
+   .. tab-item:: ssh
+
+      .. code-block:: bash
+
+         git remote add upstream git@github.com:matplotlib/matplotlib.git
+
+You can now use ``upstream`` to retrieve the most current snapshot of the source
+code, as described in :ref:`development-workflow`.
+
+.. dropdown:: Additional ``git`` and ``GitHub`` resources
+   :color: info
+   :open:
+
+   For more information on ``git`` and ``GitHub``, see:
+
+   * `Git documentation <https://git-scm.com/doc>`_
+   * `GitHub-Contributing to a Project
+     <https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project>`_
+   * `GitHub Skills <https://skills.github.com/>`_
+   * :ref:`using-git`
+   * :ref:`git-resources`
+   * `Installing git <https://git-scm.com/book/en/v2/Getting-Started-Installing-Git>`_
+   * `Managing remote repositories
+     <https://docs.github.com/en/get-started/getting-started-with-git/managing-remote-repositories>`_
+   * https://tacaswell.github.io/think-like-git.html
+   * https://tom.preston-werner.com/2009/05/19/the-git-parable.html
+
+.. _dev-environment:
+
+Create a dedicated environment
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You should set up a dedicated environment to decouple your Matplotlib
+development from other Python and Matplotlib installations on your system.
+
+We recommend using one of the following options for a dedicated development environment
+because these options are configured to install the Python dependencies as part of their
+setup.
+
+.. _venv: https://docs.python.org/3/library/venv.html
+.. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
+
+.. tab-set::
+
+   .. tab-item:: venv environment
+
+      Create a new `venv`_ environment with ::
+
+        python -m venv <file folder location>
+
+      and activate it with one of the following :
+
+      .. tab-set::
+
+         .. tab-item:: Linux and macOS
+
+            .. code-block:: bash
+
+               source <file folder location>/bin/activate  # Linux/macOS
+
+         .. tab-item:: Windows cmd.exe
+
+            .. code-block:: bat
+
+               <file folder location>\Scripts\activate.bat
+
+         .. tab-item:: Windows PowerShell
+
+            .. code-block:: ps1con
+
+               <file folder location>\Scripts\Activate.ps1
+
+      On some systems, you may need to type ``python3`` instead of ``python``.
+      For a discussion of the technical reasons, see `PEP-394 <https://peps.python.org/pep-0394>`_.
+
+      Install the Python dependencies with ::
+
+        pip install -r requirements/dev/dev-requirements.txt
+
+      Remember to activate the environment whenever you start working on Matplotlib!
+
+   .. tab-item:: conda environment
+
+      Create a new `conda`_ environment and install the Python dependencies with ::
+
+        conda env create -f environment.yml
+
+      You can use ``mamba`` instead of ``conda`` in the above command if
+      you have `mamba`_ installed.
+
+      .. _mamba: https://mamba.readthedocs.io/en/latest/
+
+      Activate the environment using ::
+
+        conda activate mpl-dev
+
+      Remember to activate the environment whenever you start working on Matplotlib!
+
+
+Install external dependencies
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Python dependencies were installed as part of :ref:`setting up the environment <dev-environment>`.
+Additionally, the following non-Python dependencies must also be installed locally:
+
+.. rst-class:: checklist
+
+* :ref:`compile-build-dependencies`
+* :ref:`external tools used by the documentation build <doc-dependencies-external>`
+
+
+For a full list of dependencies, see :ref:`dependencies`. External dependencies do not
+need to be installed when working in codespaces.
+
+.. _development-codespaces:
+
+Create GitHub Codespace :octicon:`codespaces`
+---------------------------------------------
+
+`GitHub Codespaces <github-codespaces_>`_ is a cloud-based
+in-browser development environment that comes with the appropriate setup to
+contribute to Matplotlib.
+
+#. Open codespaces on your fork by clicking on the green :octicon:`code` ``Code``
+   button on the GitHub web interface and selecting the ``Codespaces`` tab.
+
+#. Next, click on "Open codespaces on <your branch name>". You will be
+   able to change branches later, so you can select the default
+   ``main`` branch.
+
+#. After the codespace is created, you will be taken to a new browser
+   tab where you can use the terminal to activate a pre-defined conda
+   environment called ``mpl-dev``::
+
+      conda activate mpl-dev
+
+Remember to activate the *mpl-dev* environment whenever you start working on
+Matplotlib.
+
+If you need to open a GUI window with Matplotlib output on Codespaces, our
+configuration includes a `light-weight Fluxbox-based desktop
+<https://github.com/devcontainers/features/tree/main/src/desktop-lite>`_.
+You can use it by connecting to this desktop via your web browser. To do this:
+
+#. Press ``F1`` or ``Ctrl/Cmd+Shift+P`` and select
+   ``Ports: Focus on Ports View`` in the VSCode session to bring it into
+   focus. Open the ports view in your tool, select the ``noVNC`` port, and
+   click the Globe icon.
+#. In the browser that appears, click the Connect button and enter the desktop
+   password (``vscode`` by default).
+
+Check the `GitHub instructions
+<https://github.com/devcontainers/features/tree/main/src/desktop-lite#connecting-to-the-desktop>`_
+for more details on connecting to the desktop.
+
+If you also built the documentation pages, you can view them using Codespaces.
+Use the "Extensions" icon in the activity bar to install the "Live Server"
+extension. Locate the ``doc/build/html`` folder in the Explorer, right click
+the file you want to open and select "Open with Live Server."
+
+.. _`github-codespaces`: https://docs.github.com/codespaces
+
+.. _development-install:
+
+Install Matplotlib in editable mode
+===================================
+
+Install Matplotlib in editable mode from the :file:`matplotlib` directory using the
+command ::
+
+    python -m pip install --verbose --no-build-isolation --editable ".[dev]"
+
+The 'editable/develop mode' builds everything and places links in your Python environment
+so that Python will be able to import Matplotlib from your development source directory.
+This allows you to import your modified version of Matplotlib without having to
+re-install after changing a ``.py`` or compiled extension file.
+
+When working on a branch that does not have Meson enabled, meaning it does not
+have :ghpull:`26621` in its history (log), you will have to reinstall from source
+each time you change any compiled extension code.
+
+If the installation is not working, please consult the :ref:`troubleshooting guide <troubleshooting-faq>`.
+If the guide does not offer a solution, please reach out via `chat <https://gitter.im/matplotlib/matplotlib>`_
+or :ref:`open an issue <submitting-a-bug-report>`.
+
+
+Build options
+-------------
+If you are working heavily with files that need to be compiled, you may want to
+inspect the compilation log. This can be enabled by setting the environment
+variable :envvar:`MESONPY_EDITABLE_VERBOSE` or by setting the ``editable-verbose``
+config during installation ::
+
+   python -m pip install --no-build-isolation --config-settings=editable-verbose=true --editable .
+
+For more information on installation and other configuration options, see the
+Meson Python :external+meson-python:ref:`editable installs guide <how-to-guides-editable-installs>`.
+
+For a list of the other environment variables you can set before install, see :ref:`environment-variables`.
+
+
+Verify the Installation
+=======================
+
+Run the following command to make sure you have correctly installed Matplotlib in
+editable mode. The command should be run when the virtual environment is activated::
+
+    python -c "import matplotlib; print(matplotlib.__file__)"
+
+This command should return : ``<matplotlib_local_repo>\lib\matplotlib\__init__.py``
+
+We encourage you to run tests and build docs to verify that the code installed correctly
+and that the docs build cleanly, so that when you make code or document related changes
+you are aware of the existing issues beforehand.
+
+* Run test cases to verify installation :ref:`testing`
+* Verify documentation build :ref:`documenting-matplotlib`
+
+.. _pre-commit-hooks:
+
+Install pre-commit hooks
+========================
+`pre-commit <https://pre-commit.com/>`_ hooks save time in the review process by
+identifying issues with the code before a pull request is formally opened. Most
+hooks can also aide in fixing the errors, and the checks should have
+corresponding :ref:`development workflow <development-workflow>` and
+:ref:`pull request <pr-guidelines>` guidelines. Hooks are configured in
+`.pre-commit-config.yaml <https://github.com/matplotlib/matplotlib/blob/main/.pre-commit-config.yaml?>`_
+and include checks for spelling and formatting, flake 8 conformity, accidentally
+committed files, import order, and incorrect branching.
+
+Install pre-commit hooks ::
+
+    python -m pip install pre-commit
+    pre-commit install
+
+Hooks are run automatically after the ``git commit`` stage of the
+:ref:`editing workflow<edit-flow>`. When a hook has found and fixed an error in a
+file, that file must be *staged and committed* again.
+
+Hooks can also be run manually. All the hooks can be run, in order as
+listed in ``.pre-commit-config.yaml``, against the full codebase with ::
+
+    pre-commit run --all-files
+
+To run a particular hook manually, run ``pre-commit run`` with the hook id ::
+
+    pre-commit run <hook id> --all-files
+
+
+Please note that the ``mypy`` pre-commit hook cannot check the :ref:`type-hints`
+for new functions; instead the stubs for new functions are checked using the
+``stubtest`` :ref:`CI check <automated-tests>` and can be checked locally using
+``tox -e stubtest``.
diff --git a/doc/devel/development_workflow.rst b/doc/devel/development_workflow.rst
new file mode 100644
index 000000000000..16766278f658
--- /dev/null
+++ b/doc/devel/development_workflow.rst
@@ -0,0 +1,583 @@
+.. highlight:: bash
+
+.. redirect-from:: /devel/gitwash/development_workflow
+.. redirect-from:: /devel/gitwash/maintainer_workflow
+
+.. _development-workflow:
+
+####################
+Development workflow
+####################
+
+Workflow summary
+================
+
+To keep your work well organized, with readable history, and in turn make it
+easier for project maintainers (that might be you) to see what you've done, and
+why you did it, we recommend the following:
+
+* Don't make changes in your local ``main`` branch!
+* Before starting a new set of changes, fetch all changes from
+  ``upstream/main``, and start a new *feature branch* from that.
+* Make a new branch for each feature or bug fix — "one task, one branch".
+* Name your branch for the purpose of the changes - e.g.
+  ``bugfix-for-issue-14`` or ``refactor-database-code``.
+* If you get stuck, reach out on Gitter or
+  `discourse <https://discourse.matplotlib.org>`__.
+* When you're ready or need feedback on your code, open a pull request so that the
+  Matplotlib developers can give feedback and eventually include your suggested
+  code into the ``main`` branch.
+
+Overview
+--------
+
+After :ref:`setting up a development environment <installing_for_devs>`, the typical
+workflow is:
+
+#. Fetch all changes from ``upstream/main``::
+
+    git fetch upstream
+
+#. Start a new *feature branch* from ``upstream/main``::
+
+    git checkout -b my-feature upstream/main
+
+#. When you're done editing, e.g., ``lib/matplotlib/collections.py``, record your changes in Git::
+
+     git add lib/matplotlib/collections.py
+     git commit -m 'a commit message'
+
+#. Push the changes to your GitHub fork::
+
+     git push -u origin my-feature
+
+
+.. _update-mirror-main:
+
+Update the ``main`` branch
+==========================
+
+First make sure you have followed :ref:`installing_for_devs`.
+
+From time to time you should fetch the upstream changes from GitHub::
+
+   git fetch upstream
+
+This will pull down any commits you don't have, and set the remote branches to
+point to the right commit.
+
+.. _make-feature-branch:
+
+Make a new feature branch
+=========================
+
+When you are ready to make some changes to the code, you should start a new
+branch.  Branches that are for a collection of related edits are often called
+'feature branches'. Making a new branch for each set of related changes will make it
+easier for someone reviewing your branch to see what you are doing.
+
+Choose an informative name for the branch to remind yourself and the rest of us
+what the changes in the branch are for.  For example ``add-ability-to-fly``, or
+``bugfix-for-issue-42``.
+
+The process for creating a new feature branch is::
+
+    # Update the main branch
+    git fetch upstream
+    # Make new feature branch starting at current main
+    git branch my-new-feature upstream/main
+    git checkout my-new-feature
+
+If you started making changes on your local ``main`` branch, you can convert the
+branch to a feature branch by renaming it::
+
+   git branch -m <newname>
+
+Generally, you will want to keep your feature branches on your public GitHub
+fork of Matplotlib.  To do this, you ``git push`` this new branch up to your
+GitHub repo.  Generally, if you followed the instructions in these pages, and by
+default, git will have a link to your fork of the GitHub repo, called
+``origin``.  You push up to your own fork with::
+
+   git push origin my-new-feature
+
+
+.. _edit-flow:
+
+The editing workflow
+====================
+
+#. Make some changes
+#. Save the changes
+#. See which files have changed with ``git status``.
+   You'll see a listing like this one:
+
+   .. code-block:: none
+
+     # On branch ny-new-feature
+     # Changed but not updated:
+     #   (use "git add <file>..." to update what will be committed)
+     #   (use "git checkout -- <file>..." to discard changes in working directory)
+     #
+     #	modified:   README
+     #
+     # Untracked files:
+     #   (use "git add <file>..." to include in what will be committed)
+     #
+     #	INSTALL
+     no changes added to commit (use "git add" and/or "git commit -a")
+
+#. Check what the actual changes are with ``git diff``.
+#. Add any new files to version control ``git add new_file_name``.
+#. To commit **all** modified files into the local copy of your repo, type:
+
+   .. code-block:: bash
+
+      git commit -am 'A commit message'
+
+   Note the ``-am`` options to ``commit``. The ``m`` flag signals that you are
+   going to type a message on the command line.  The ``a`` flag stages every
+   file that has been modified, except files listed in ``.gitignore``. For more
+   information, see the `git commit <https://git-scm.com/docs/git-commit>`_  manual page.
+#. To push the changes up to your forked repo on GitHub, do a ``git
+   push``.
+
+
+Verify your changes
+===================
+
+Check that your change does what you intend.  For code changes:
+
+* If the issue you are working on provided a code example, run that example
+  against your branch and check that you now get the desired result.  Note that
+  adapting the issue example is often a good way to create a new test.
+
+* Run the tests to check that your change has not had unintended consequences
+  on existing functionality.  See :ref:`run_tests`.
+
+For documentation changes, build the documentation locally to check that
+it renders how you intended and that any new links work correctly.  See
+:ref:`build_docs`.
+
+This is also a good time to look through the :ref:`pr-author-guidelines` and
+address as many of the relevant points as you can.
+
+.. _open-pull-request:
+
+Open a pull request
+===================
+
+When you are ready to ask for someone to review your code and consider a merge,
+`submit your Pull Request (PR) <https://docs.github.com/pull-requests>`_.
+
+Go to the web page of *your fork* of the Matplotlib repo, and click
+``Compare & pull request`` to send your changes to the maintainers for review.
+The base repository is ``matplotlib/matplotlib`` and the base branch is
+generally ``main``.
+
+Enter a title for the set of changes with some explanation of what you've done.
+Mention anything you'd like particular attention for - such as a
+complicated change or some code you are not happy with.
+
+If you don't think your request is ready to be merged, just say so in your pull
+request message and use the "Draft PR" feature of GitHub. This is a good way of
+getting some preliminary code review.
+
+For more guidance on the mechanics of making a pull request, see GitHub's
+`pull request tutorial <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork>`_.
+
+.. _update-pull-request:
+
+Update a pull request
+=====================
+
+When updating your pull request after making revisions, instead of adding new
+commits, please consider amending your initial commit(s) to keep the commit
+history clean.
+
+You can achieve this by using
+
+.. code-block:: bash
+
+    git commit -a --amend --no-edit
+    git push [your-remote-repo] [your-branch] --force-with-lease
+
+.. tip::
+    Instead of typing your branch name every time, you only need to type the following once to link the remote branch to the local branch::
+
+        git push --set-upstream origin my-new-feature
+
+    From now on git will know that ``my-new-feature`` is related to the
+    ``my-new-feature`` branch in the GitHub repo. After this, you will be able to
+    push your changes with::
+
+        git push
+
+
+Manage commit history
+=====================
+
+Explore your repository
+-----------------------
+
+To see a graphical representation of the repository branches and
+commits::
+
+   gitk --all
+
+To see a linear list of commits for this branch::
+
+   git log
+
+
+.. _recovering-from-mess-up:
+
+Recover from mistakes
+---------------------
+
+Sometimes, you mess up merges or rebases. Luckily, in git it is
+relatively straightforward to recover from such mistakes.
+
+If you mess up during a rebase::
+
+   git rebase --abort
+
+If you notice you messed up after the rebase::
+
+   # reset branch back to the saved point
+   git reset --hard tmp
+
+If you forgot to make a backup branch::
+
+   # look at the reflog of the branch
+   git reflog show cool-feature
+
+   8630830 cool-feature@{0}: commit: BUG: io: close file handles immediately
+   278dd2a cool-feature@{1}: rebase finished: refs/heads/my-feature-branch onto 11ee694744f2552d
+   26aa21a cool-feature@{2}: commit: BUG: lib: make seek_gzip_factory not leak gzip obj
+   ...
+
+   # reset the branch to where it was before the botched rebase
+   git reset --hard cool-feature@{2}
+
+.. _rewriting-commit-history:
+
+Rewrite commit history
+----------------------
+
+.. note::
+
+   Do this only for your own feature branches.
+
+Is there an embarrassing typo in a commit you made? Or perhaps you
+made several false starts you don't want posterity to see.
+
+This can be done via *interactive rebasing*.
+
+Suppose that the commit history looks like this::
+
+    git log --oneline
+    eadc391 Fix some remaining bugs
+    a815645 Modify it so that it works
+    2dec1ac Fix a few bugs + disable
+    13d7934 First implementation
+    6ad92e5 * masked is now an instance of a new object, MaskedConstant
+    29001ed Add pre-nep for a copule of structured_array_extensions.
+    ...
+
+and ``6ad92e5`` is the last commit in the ``cool-feature`` branch. Suppose we
+want to make the following changes:
+
+* Rewrite the commit message for ``13d7934`` to something more sensible.
+* Combine the commits ``2dec1ac``, ``a815645``, ``eadc391`` into a single one.
+
+We do as follows::
+
+    # make a backup of the current state
+    git branch tmp HEAD
+    # interactive rebase
+    git rebase -i 6ad92e5
+
+This will open an editor with the following text in it::
+
+    pick 13d7934 First implementation
+    pick 2dec1ac Fix a few bugs + disable
+    pick a815645 Modify it so that it works
+    pick eadc391 Fix some remaining bugs
+
+    # Rebase 6ad92e5..eadc391 onto 6ad92e5
+    #
+    # Commands:
+    #  p, pick = use commit
+    #  r, reword = use commit, but edit the commit message
+    #  e, edit = use commit, but stop for amending
+    #  s, squash = use commit, but meld into previous commit
+    #  f, fixup = like "squash", but discard this commit's log message
+    #
+    # If you remove a line here THAT COMMIT WILL BE LOST.
+    # However, if you remove everything, the rebase will be aborted.
+    #
+
+To achieve what we want, we will make the following changes to it::
+
+    r 13d7934 First implementation
+    pick 2dec1ac Fix a few bugs + disable
+    f a815645 Modify it so that it works
+    f eadc391 Fix some remaining bugs
+
+This means that (i) we want to edit the commit message for
+``13d7934``, and (ii) collapse the last three commits into one. Now we
+save and quit the editor.
+
+Git will then immediately bring up an editor for editing the commit
+message. After revising it, we get the output::
+
+    [detached HEAD 721fc64] FOO: First implementation
+     2 files changed, 199 insertions(+), 66 deletions(-)
+    [detached HEAD 0f22701] Fix a few bugs + disable
+     1 files changed, 79 insertions(+), 61 deletions(-)
+    Successfully rebased and updated refs/heads/my-feature-branch.
+
+and now, the history looks like this::
+
+     0f22701 Fix a few bugs + disable
+     721fc64 ENH: Sophisticated feature
+     6ad92e5 * masked is now an instance of a new object, MaskedConstant
+
+If it went wrong, recovery is again possible as explained :ref:`above
+<recovering-from-mess-up>`.
+
+If you have not yet pushed this branch to github, you can carry on as normal,
+however if you *have* already pushed this commit see :ref:`force-push` for how
+to replace your already published commits with the new ones.
+
+
+.. _rebase-on-main:
+
+Rebase onto ``upstream/main``
+-----------------------------
+
+Let's say you thought of some work you'd like to do. You
+:ref:`update-mirror-main` and :ref:`make-feature-branch` called
+``cool-feature``. At this stage, ``main`` is at some commit, let's call it E.
+Now you make some new commits on your ``cool-feature`` branch, let's call them
+A, B, C. Maybe your changes take a while, or you come back to them after a
+while. In the meantime, ``main`` has progressed from commit E to commit (say) G:
+
+.. code-block:: none
+
+          A---B---C cool-feature
+         /
+    D---E---F---G main
+
+At this stage you consider merging ``main`` into your feature branch, and you
+remember that this page sternly advises you not to do that, because the
+history will get messy. Most of the time, you can just ask for a review without
+worrying about whether ``main`` has got a little ahead; however sometimes, the changes in
+``main`` might affect your changes, and you need to harmonize them.  In this
+situation you may prefer to do a rebase.
+
+``rebase`` takes your changes (A, B, C) and replays them as if they had been
+made to the current state of ``main``.  In other words, in this case, it takes
+the changes represented by A, B, C and replays them on top of G. After the
+rebase, your history will look like this:
+
+.. code-block:: none
+
+                  A'--B'--C' cool-feature
+                 /
+    D---E---F---G main
+
+See `rebase without tears`_ for more detail.
+
+.. _rebase without tears: https://matthew-brett.github.io/pydagogue/rebase_without_tears.html
+
+To do a rebase on ``upstream/main``::
+
+    # Fetch changes from upstream/main
+    git fetch upstream
+    # go to the feature branch
+    git checkout cool-feature
+    # make a backup in case you mess up
+    git branch tmp cool-feature
+    # rebase cool-feature onto main
+    git rebase --onto upstream/main upstream/main cool-feature
+
+In this situation, where you are already on branch ``cool-feature``, the last
+command can be written more succinctly as::
+
+    git rebase upstream/main
+
+When all looks good, you can delete your backup branch::
+
+   git branch -D tmp
+
+If it doesn't look good you may need to have a look at
+:ref:`recovering-from-mess-up`.
+
+If you have made changes to files that have also changed in ``main``, this may
+generate merge conflicts that you need to resolve - see the `git rebase`_ man
+page for some instructions at the end of the "Description" section. There is
+some related help on merging in the git user manual - see `resolving a merge`_.
+
+.. _git rebase: https://git-scm.com/docs/git-rebase
+.. _resolving a merge: https://schacon.github.io/git/user-manual.html#resolving-a-merge
+
+
+If you have not yet pushed this branch to github, you can carry on as normal,
+however if you *have* already pushed this commit see :ref:`force-push` for how
+to replace your already published commits with the new ones.
+
+
+.. _force-push:
+
+
+Push with force
+---------------
+
+
+If you have in some way re-written already pushed history (e.g. via
+:ref:`rewriting-commit-history` or :ref:`rebase-on-main`) leaving you with
+a git history that looks something like
+
+.. code-block:: none
+
+       A'--E cool-feature
+      /
+     D---A---B---C origin/cool-feature
+
+where you have pushed the commits ``A,B,C`` to your fork on GitHub (under the
+remote name *origin*) but now have the commits ``A'`` and ``E`` on your local
+branch *cool-feature*.  If you try to push the new commits to GitHub, it will
+fail and show an error that looks like ::
+
+   $ git push
+   Pushing to github.com:origin/matplotlib.git
+   To github.com:origin/matplotlib.git
+    ! [rejected]              cool_feature -> cool_feature (non-fast-forward)
+   error: failed to push some refs to 'github.com:origin/matplotlib.git'
+   hint: Updates were rejected because the tip of your current branch is behind
+   hint: its remote counterpart. Integrate the remote changes (e.g.
+   hint: 'git pull ...') before pushing again.
+   hint: See the 'Note about fast-forwards' in 'git push --help' for details.
+
+If this push had succeeded, the commits ``A``, ``B``, and ``C`` would no
+longer be referenced by any branch and they would be discarded:
+
+.. code-block:: none
+
+      D---A'---E cool-feature, origin/cool-feature
+
+By default ``git push`` helpfully tries to protect you from accidentally
+discarding commits by rejecting the push to the remote.  When this happens,
+GitHub also adds the helpful suggestion to pull the remote changes and then try
+pushing again.  In some cases, such as if you and a colleague are both
+committing and pushing to the same branch, this is a correct course of action.
+
+However, in the case of having intentionally re-written history, we *want* to
+discard the commits on the remote and replace them with the new-and-improved
+versions from our local branch.  In this case, what we want to do is ::
+
+  $ git push --force-with-lease
+
+which tells git you are aware of the risks and want to do the push anyway.  We
+recommend using ``--force-with-lease`` over the ``--force`` flag.  The
+``--force`` will do the push no matter what, whereas ``--force-with-lease``
+will only do the push if the remote branch is where the local ``git`` client
+thought it was.
+
+Be judicious with force-pushing.  It is effectively re-writing published
+history, and if anyone has fetched the old commits, it will have a different view
+of history which can cause confusion.
+
+.. _automated-tests:
+
+Automated tests
+===============
+
+Whenever a pull request is created or updated, various automated test tools
+will run on all supported platforms and versions of Python.
+
+* tox_ is not used in the automated testing. It is supported for testing
+  locally.
+
+  .. _tox: https://tox.readthedocs.io/
+
+* Codecov and CodeQL are currently for information only. Their failure is not
+  necessarily a blocker.
+
+Make sure the Linting, GitHub Actions, AppVeyor, CircleCI, and Azure pipelines are
+passing before merging. All checks are listed at the bottom of the GitHub page of your
+pull request.
+
+.. list-table::
+    :header-rows: 1
+    :stub-columns: 1
+    :widths: 20 20 60
+
+    * - Name
+      - Check
+      - Tips for finding cause of failure
+    * - Linting
+      - :ref:`code style <code-style>`
+      - Errors are displayed as annotations on the pull request diff.
+    * - | Mypy
+        | Stubtest
+      - :ref:`static type hints <type-hints>`
+      - Errors are displayed as annotations on the pull request diff.
+    * - CircleCI
+      - :ref:`documentation build <writing-rest-pages>`
+      - Search the CircleCI log for ``WARNING``.
+    * - | GitHub Actions
+        | AppVeyor
+        | Azure pipelines
+      - :ref:`tests <testing>`
+      - | Search the log for ``FAILURES``. Subsequent section should contain information
+          on failed tests.
+        |
+        | On Azure, find the images as *artifacts* of the Azure job:
+        | 1. Click *Details* on the check on the GitHub PR page.
+        | 2. Click *View more details on Azure Pipelines* to go to Azure.
+        | 3. On the overview page *artifacts* are listed in the section *Related*.
+
+Skip CI checks
+--------------
+
+If you know only a subset of CI checks need to be run, you can skip unneeded CI checks
+on individual commits by including the following strings in the commit message:
+
+.. list-table::
+    :header-rows: 1
+    :stub-columns: 1
+    :widths: 25 20 55
+
+    * - String
+      - Effect
+      - Notes
+    * - ``[ci doc]``
+      - Only run documentation checks.
+      - | For when you have only changed documentation.
+        | ``[ci doc]`` is applied automatically when the changes are only to files in
+          ``doc/**/`` or ``galleries/**/``
+    * - ``[skip doc]``
+      - Skip documentation checks.
+      - For when you didn't change documentation.
+    * - ``[skip appveyor]``
+      - Skip AppVeyor run.
+      - Substring must be in first line of commit message.
+    * - ``[skip azp]``
+      - Skip Azure Pipelines.
+      -
+    * - ``[skip actions]``
+      - Skip GitHub Actions.
+      -
+    * - ``[skip ci]``
+      - Skip all CI checks.
+      - Use only for changes where documentation checks and unit tests do not apply.
+
+
+``[skip actions]`` and ``[skip ci]`` only skip Github Actions CI workflows that are
+triggered on ``on: push`` and ``on: pull_request`` events. For more information,
+see `Skipping workflow runs`_.
+
+.. _`Skipping workflow runs`: https://docs.github.com/en/actions/managing-workflow-runs/skipping-workflow-runs
diff --git a/doc/devel/document.rst b/doc/devel/document.rst
new file mode 100644
index 000000000000..1119a265a80d
--- /dev/null
+++ b/doc/devel/document.rst
@@ -0,0 +1,1226 @@
+.. redirect-from:: /devel/documenting_mpl
+
+.. _documenting-matplotlib:
+
+===================
+Write documentation
+===================
+
+Getting started
+===============
+
+General file structure
+----------------------
+
+All documentation is built from the :file:`doc/`.  The :file:`doc/`
+directory contains configuration files for Sphinx and reStructuredText
+(ReST_; ``.rst``) files that are rendered to documentation pages.
+
+Documentation is created in three ways.  First, API documentation
+(:file:`doc/api`) is created by Sphinx_ from
+the docstrings of the classes in the Matplotlib library.  Except for
+:file:`doc/api/api_changes/`,  ``.rst`` files in :file:`doc/api` are created
+when the documentation is built.  See :ref:`writing-docstrings` below.
+
+Second, our example pages, tutorials, and some of the narrative documentation
+are created by `Sphinx Gallery`_.  Sphinx Gallery converts example Python files
+to ``*.rst`` files with the result of Matplotlib plot calls as embedded images.
+See :ref:`writing-examples-and-tutorials` below.
+
+Third, Matplotlib has narrative docs written in ReST_ in subdirectories of
+:file:`doc/users/`.  If you would like to add new documentation that is suited
+to an ``.rst`` file rather than a gallery or tutorial example, choose an
+appropriate subdirectory to put it in, and add the file to the table of
+contents of :file:`index.rst` of the subdirectory.  See
+:ref:`writing-rest-pages` below.
+
+.. note::
+
+  Don't directly edit the ``.rst`` files in :file:`doc/plot_types`,
+  :file:`doc/gallery`,  :file:`doc/tutorials`, and :file:`doc/api`
+  (excepting :file:`doc/api/api_changes/`).  Sphinx_ regenerates
+  files in these directories when building documentation.
+
+Set up the build
+----------------
+
+The documentation for Matplotlib is generated from reStructuredText (ReST_)
+using the Sphinx_ documentation generation tool.
+
+To build the documentation you will need to
+:ref:`set up Matplotlib for development <installing_for_devs>`. Note in
+particular the :ref:`additional dependencies <doc-dependencies>` required to
+build the documentation.
+
+.. _build_docs:
+
+Build the docs
+--------------
+
+The documentation sources are found in the :file:`doc/` directory.
+The configuration file for Sphinx is :file:`doc/conf.py`. It controls which
+directories Sphinx parses, how the docs are built, and how the extensions are
+used. To build the documentation in html format, cd into :file:`doc/` and run:
+
+.. code-block:: sh
+
+   make html
+
+.. note::
+
+   Since the documentation is very large, the first build may take 10-20 minutes,
+   depending on your machine.  Subsequent builds will be faster.
+
+Other useful invocations include
+
+.. code-block:: sh
+
+   # Build the html documentation, but skip generation of the gallery images to
+   # save time.
+   make html-noplot
+
+   # Build the html documentation, but skip specific subdirectories.  If a gallery
+   # directory is skipped, the gallery images are not generated.  The first
+   # time this is run, it creates ``.mpl_skip_subdirs.yaml`` which can be edited
+   # to add or remove subdirectories
+   make html-skip-subdirs
+
+   # Delete built files.  May help if you get errors about missing paths or
+   # broken links.
+   make clean
+
+   # Build pdf docs.
+   make latexpdf
+
+The ``SPHINXOPTS`` variable is set to ``-W --keep-going`` by default to build
+the complete docs but exit with exit status 1 if there are warnings.  To unset
+it, use
+
+.. code-block:: sh
+
+   make SPHINXOPTS= html
+
+You can use the ``O`` variable to set additional options:
+
+* ``make O=-j4 html`` runs a parallel build with 4 processes.
+* ``make O=-Dplot_formats=png:100 html`` saves figures in low resolution.
+
+Multiple options can be combined, e.g. ``make O='-j4 -Dplot_formats=png:100'
+html``.
+
+On Windows, set the options as environment variables, e.g.:
+
+.. code-block:: bat
+
+   set SPHINXOPTS= & set O=-j4 -Dplot_formats=png:100 & make html
+
+Show locally built docs
+-----------------------
+
+The built docs are available in the folder :file:`build/html`. A shortcut
+for opening them in your default browser is:
+
+.. code-block:: sh
+
+   make show
+
+.. _writing-rest-pages:
+
+Write ReST pages
+================
+
+Most documentation is either in the docstrings of individual
+classes and methods, in explicit ``.rst`` files, or in examples and tutorials.
+All of these use the ReST_ syntax and are processed by Sphinx_.
+
+The `Sphinx reStructuredText Primer
+<https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html>`_ is
+a good introduction into using ReST. More complete information is available in
+the `reStructuredText reference documentation
+<https://docutils.sourceforge.io/rst.html#reference-documentation>`_.
+
+This section contains additional information and conventions how ReST is used
+in the Matplotlib documentation.
+
+Formatting and style conventions
+--------------------------------
+
+It is useful to strive for consistency in the Matplotlib documentation.  Here
+are some formatting and style conventions that are used.
+
+Section formatting
+^^^^^^^^^^^^^^^^^^
+
+Use `sentence case <https://apastyle.apa.org/style-grammar-guidelines/capitalization/sentence-case>`__
+``Upper lower`` for section titles, e.g., ``Possible hangups`` rather than
+``Possible Hangups``.
+
+We aim to follow the recommendations from the
+`Python documentation <https://devguide.python.org/documenting/#sections>`_
+and the `Sphinx reStructuredText documentation <https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html#sections>`_
+for section markup characters, i.e.:
+
+- ``#`` with overline, for parts. This is reserved for the main title in
+  ``index.rst``. All other pages should start with "chapter" or lower.
+- ``*`` with overline, for chapters
+- ``=``, for sections
+- ``-``, for subsections
+- ``^``, for subsubsections
+- ``"``, for paragraphs
+
+This may not yet be applied consistently in existing docs.
+
+Table formatting
+^^^^^^^^^^^^^^^^
+Given the size of the table and length of each entry, use:
+
++-------------+-------------------------------+--------------------+
+|             | small table                   | large table        |
++-------------+-------------------------------+--------------------+
+| short entry | `simple or grid table`_       | `grid table`_      |
++-------------+-------------------------------+--------------------+
+| long entry  | `list table`_                 | `csv table`_       |
++-------------+-------------------------------+--------------------+
+
+For more information, see `rst tables <https://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html#tables>`_.
+
+.. _`simple or grid table`: https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html#tables
+.. _`grid table`: https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html#grid-tables
+.. _`list table`: https://docutils.sourceforge.io/docs/ref/rst/directives.html#list-table
+.. _`csv table`: https://docutils.sourceforge.io/docs/ref/rst/directives.html#csv-table-1
+
+Function arguments
+^^^^^^^^^^^^^^^^^^
+
+Function arguments and keywords within docstrings should be referred to using
+the ``*emphasis*`` role. This will keep Matplotlib's documentation consistent
+with Python's documentation:
+
+.. code-block:: rst
+
+  Here is a description of *argument*
+
+Do not use the ```default role```:
+
+.. code-block:: rst
+
+   Do not describe `argument` like this.  As per the next section,
+   this syntax will (unsuccessfully) attempt to resolve the argument as a
+   link to a class or method in the library.
+
+nor the ````literal```` role:
+
+.. code-block:: rst
+
+   Do not describe ``argument`` like this.
+
+
+.. _internal-section-refs:
+
+Refer to other documents and sections
+-------------------------------------
+
+Sphinx_ supports internal references_:
+
+==========  ===============  ===========================================
+Role        Links target     Representation in rendered HTML
+==========  ===============  ===========================================
+|doc-dir|_  document         link to a page
+|ref-dir|_  reference label  link to an anchor associated with a heading
+==========  ===============  ===========================================
+
+.. The following is a hack to have a link with literal formatting
+   See https://stackoverflow.com/a/4836544
+
+.. |doc-dir| replace:: ``:doc:``
+.. _doc-dir: https://www.sphinx-doc.org/en/master/usage/restructuredtext/roles.html#role-doc
+.. |ref-dir| replace:: ``:ref:``
+.. _ref-dir: https://www.sphinx-doc.org/en/master/usage/restructuredtext/roles.html#role-ref
+
+Examples:
+
+.. code-block:: rst
+
+   See the :doc:`/install/index`
+
+   See the tutorial :ref:`quick_start`
+
+   See the example :doc:`/gallery/lines_bars_and_markers/simple_plot`
+
+will render as:
+
+  See the :doc:`/install/index`
+
+  See the tutorial :ref:`quick_start`
+
+  See the example :doc:`/gallery/lines_bars_and_markers/simple_plot`
+
+Sections can also be given reference labels.  For instance from the
+:doc:`/install/index` link:
+
+.. code-block:: rst
+
+   .. _clean-install:
+
+   How to completely remove Matplotlib
+   ===================================
+
+   Occasionally, problems with Matplotlib can be solved with a clean...
+
+and refer to it using the standard reference syntax:
+
+.. code-block:: rst
+
+   See :ref:`clean-install`
+
+will give the following link: :ref:`clean-install`
+
+To maximize internal consistency in section labeling and references,
+use hyphen separated, descriptive labels for section references.
+Keep in mind that contents may be reorganized later, so
+avoid top level names in references like ``user`` or ``devel``
+or ``faq`` unless necessary, because for example the FAQ "what is a
+backend?" could later become part of the users guide, so the label:
+
+.. code-block:: rst
+
+   .. _what-is-a-backend:
+
+is better than:
+
+.. code-block:: rst
+
+   .. _faq-backend:
+
+In addition, since underscores are widely used by Sphinx itself, use
+hyphens to separate words.
+
+.. _referring-to-other-code:
+
+Refer to other code
+-------------------
+
+To link to other methods, classes, or modules in Matplotlib you can use
+back ticks, for example:
+
+.. code-block:: rst
+
+  `matplotlib.collections.LineCollection`
+
+generates a link like this: `matplotlib.collections.LineCollection`.
+
+*Note:* We use the sphinx setting ``default_role = 'obj'`` so that you don't
+have to use qualifiers like ``:class:``, ``:func:``, ``:meth:`` and the likes.
+
+Often, you don't want to show the full package and module name. As long as the
+target is unambiguous you can simply leave them out:
+
+.. code-block:: rst
+
+  `.LineCollection`
+
+and the link still works: `.LineCollection`. Note that you should typically include
+the leading dot. It tells Sphinx to look for the given name in the whole project.
+See also the explanation at `Sphinx: Cross-referencing Python objects
+<https://www.sphinx-doc.org/en/master/usage/domains/python.html#cross-referencing-python-objects>`_.
+
+If there are multiple code elements with the same name (e.g. ``plot()`` is a
+method in multiple classes), you'll have to extend the definition:
+
+.. code-block:: rst
+
+  `.pyplot.plot` or `.Axes.plot`
+
+These will show up as `.pyplot.plot` or `.Axes.plot`. To still show only the
+last segment you can add a tilde as prefix:
+
+.. code-block:: rst
+
+  `~.pyplot.plot` or `~.Axes.plot`
+
+will render as `~.pyplot.plot` or `~.Axes.plot`.
+
+Other packages can also be linked via
+`intersphinx <http://www.sphinx-doc.org/en/master/ext/intersphinx.html>`_:
+
+.. code-block:: rst
+
+  `numpy.mean`
+
+will return this link: `numpy.mean`.  This works for Python, Numpy, Scipy,
+and Pandas (full list is in :file:`doc/conf.py`).  If external linking fails,
+you can check the full list of referenceable objects with the following
+commands::
+
+  python -m sphinx.ext.intersphinx 'https://docs.python.org/3/objects.inv'
+  python -m sphinx.ext.intersphinx 'https://numpy.org/doc/stable/objects.inv'
+  python -m sphinx.ext.intersphinx 'https://docs.scipy.org/doc/scipy/objects.inv'
+  python -m sphinx.ext.intersphinx 'https://pandas.pydata.org/pandas-docs/stable/objects.inv'
+
+.. _rst-figures-and-includes:
+
+Include figures and files
+-------------------------
+
+Image files can directly included in pages with the ``image::`` directive.
+e.g., :file:`tutorials/intermediate/constrainedlayout_guide.py` displays
+a couple of static images::
+
+  # .. image:: /_static/constrained_layout_1b.png
+  #    :align: center
+
+
+Files can be included verbatim.  For instance the ``LICENSE`` file is included
+at :ref:`license-agreement` using ::
+
+    .. literalinclude:: ../../LICENSE/LICENSE
+
+The examples directory is copied to :file:`doc/gallery` by sphinx-gallery,
+so plots from the examples directory can be included using
+
+.. code-block:: rst
+
+    .. plot:: gallery/lines_bars_and_markers/simple_plot.py
+
+Note that the python script that generates the plot is referred to, rather than
+any plot that is created.  Sphinx-gallery will provide the correct reference
+when the documentation is built.
+
+Tools for writing mathematical expressions
+------------------------------------------
+
+In most cases, you will likely want to use one of `Sphinx's builtin Math
+extensions <https://www.sphinx-doc.org/en/master/usage/extensions/math.html>`__.
+In rare cases we want the rendering of the mathematical text in the
+documentation html to exactly match with the rendering of the mathematical
+expression in the Matplotlib figure. In these cases, you can use the
+`matplotlib.sphinxext.mathmpl` Sphinx extension (See also the
+:doc:`../users/explain/text/mathtext` tutorial.)
+
+.. _writing-docstrings:
+
+Write API documentation
+=======================
+
+The API reference documentation describes the library interfaces, e.g. inputs, outputs,
+and expected behavior. Most of the API documentation is written in docstrings. These are
+comment blocks in source code that explain how the code works. All docstrings should
+conform to the `numpydoc docstring guide`_. Much of the ReST_ syntax discussed above
+(:ref:`writing-rest-pages`) can be used for links and references.
+
+.. note::
+
+   Some parts of the documentation do not yet conform to the current
+   documentation style. If in doubt, follow the rules given here and not what
+   you may see in the source code. Pull requests updating docstrings to
+   the current style are very welcome.
+
+The pages in :file:`doc/api` are purely technical definitions of
+layout; therefore new API reference documentation should be added to the module
+docstrings. This placement keeps all API reference documentation about a module in the
+same file. These module docstrings eventually populate the :file:`doc/api` directory
+and form the reference documentation for the library.
+
+Example docstring
+-----------------
+
+An example docstring looks like:
+
+.. code-block:: python
+
+    def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
+               label='', **kwargs):
+        """
+        Plot horizontal lines at each *y* from *xmin* to *xmax*.
+
+        Parameters
+        ----------
+        y : float or array-like
+            y-indexes where to plot the lines.
+
+        xmin, xmax : float or array-like
+            Respective beginning and end of each line. If scalars are
+            provided, all lines will have the same length.
+
+        colors : list of colors, default: :rc:`lines.color`
+
+        linestyles : {'solid', 'dashed', 'dashdot', 'dotted'}, optional
+
+        label : str, default: ''
+
+        Returns
+        -------
+        `~matplotlib.collections.LineCollection`
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs :  `~matplotlib.collections.LineCollection` properties.
+
+        See Also
+        --------
+        vlines : vertical lines
+        axhline : horizontal line across the Axes
+        """
+
+See the `~.Axes.hlines` documentation for how this renders.
+
+The Sphinx_ website also contains plenty of documentation_ concerning ReST
+markup and working with Sphinx in general.
+
+Formatting conventions
+----------------------
+
+The basic docstring conventions are covered in the `numpydoc docstring guide`_
+and the Sphinx_ documentation.  Some Matplotlib-specific formatting conventions
+to keep in mind:
+
+Quote positions
+^^^^^^^^^^^^^^^
+
+The quotes for single line docstrings are on the same line (pydocstyle D200)::
+
+    def get_linewidth(self):
+        """Return the line width in points."""
+
+The quotes for multi-line docstrings are on separate lines (pydocstyle D213)::
+
+        def set_linestyle(self, ls):
+        """
+        Set the linestyle of the line.
+
+        [...]
+        """
+
+Function arguments
+^^^^^^^^^^^^^^^^^^
+
+Function arguments and keywords within docstrings should be referred to
+using the ``*emphasis*`` role. This will keep Matplotlib's documentation
+consistent with Python's documentation:
+
+.. code-block:: rst
+
+  If *linestyles* is *None*, the default is 'solid'.
+
+Do not use the ```default role``` or the ````literal```` role:
+
+.. code-block:: rst
+
+  Neither `argument` nor ``argument`` should be used.
+
+
+Quotes for strings
+^^^^^^^^^^^^^^^^^^
+
+Matplotlib does not have a convention whether to use single-quotes or
+double-quotes.  There is a mixture of both in the current code.
+
+Use simple single or double quotes when giving string values, e.g.
+
+.. code-block:: rst
+
+  If 'tight', try to figure out the tight bbox of the figure.
+
+  No ``'extra'`` literal quotes.
+
+The use of extra literal quotes around the text is discouraged. While they
+slightly improve the rendered docs, they are cumbersome to type and difficult
+to read in plain-text docs.
+
+Parameter type descriptions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The main goal for parameter type descriptions is to be readable and
+understandable by humans. If the possible types are too complex use a
+simplification for the type description and explain the type more
+precisely in the text.
+
+We do not use formal type annotation syntax for type descriptions in
+docstrings; e.g. we use ``list of str`` rather than  ``list[str]``; we
+use ``int or str`` rather than ``int | str`` or ``Union[int, str]``.
+
+Generally, the `numpydoc docstring guide`_ conventions apply. The following
+rules expand on them where the numpydoc conventions are not specific.
+
+Use ``float`` for a type that can be any number.
+
+Use ``(float, float)`` to describe a 2D position. The parentheses should be
+included to make the tuple-ness more obvious.
+
+Use ``array-like`` for homogeneous numeric sequences, which could
+typically be a numpy.array. Dimensionality may be specified using ``2D``,
+``3D``, ``n-dimensional``. If you need to have variables denoting the
+sizes of the dimensions, use capital letters in brackets
+(``(M, N) array-like``). When referring to them in the text they are easier
+read and no special formatting is needed. Use ``array`` instead of
+``array-like`` for return types if the returned object is indeed a numpy array.
+
+``float`` is the implicit default dtype for array-likes. For other dtypes
+use ``array-like of int``.
+
+Some possible uses::
+
+  2D array-like
+  (N,) array-like
+  (M, N) array-like
+  (M, N, 3) array-like
+  array-like of int
+
+Non-numeric homogeneous sequences are described as lists, e.g.::
+
+  list of str
+  list of `.Artist`
+
+Reference types
+^^^^^^^^^^^^^^^
+
+Generally, the rules from referring-to-other-code_ apply. More specifically:
+
+Use full references ```~matplotlib.colors.Normalize``` with an
+abbreviation tilde in parameter types. While the full name helps the
+reader of plain text docstrings, the HTML does not need to show the full
+name as it links to it. Hence, the ``~``-shortening keeps it more readable.
+
+Use abbreviated links ```.Normalize``` in the text.
+
+.. code-block:: rst
+
+   norm : `~matplotlib.colors.Normalize`, optional
+        A `.Normalize` instance is used to scale luminance data to 0, 1.
+
+Default values
+^^^^^^^^^^^^^^
+
+As opposed to the numpydoc guide, parameters need not be marked as
+*optional* if they have a simple default:
+
+- use ``{name} : {type}, default: {val}`` when possible.
+- use ``{name} : {type}, optional`` and describe the default in the text if
+  it cannot be explained sufficiently in the recommended manner.
+
+The default value should provide semantic information targeted at a human
+reader. In simple cases, it restates the value in the function signature.
+If applicable, units should be added.
+
+.. code-block:: rst
+
+   Prefer:
+       interval : int, default: 1000ms
+   over:
+       interval : int, default: 1000
+
+If *None* is only used as a sentinel value for "parameter not specified", do
+not document it as the default. Depending on the context, give the actual
+default, or mark the parameter as optional if not specifying has no particular
+effect.
+
+.. code-block:: rst
+
+   Prefer:
+       dpi : float, default: :rc:`figure.dpi`
+   over:
+       dpi : float, default: None
+
+   Prefer:
+       textprops : dict, optional
+           Dictionary of keyword parameters to be passed to the
+           `~matplotlib.text.Text` instance contained inside TextArea.
+   over:
+       textprops : dict, default: None
+           Dictionary of keyword parameters to be passed to the
+           `~matplotlib.text.Text` instance contained inside TextArea.
+
+
+``See also`` sections
+^^^^^^^^^^^^^^^^^^^^^
+
+Sphinx automatically links code elements in the definition blocks of ``See
+also`` sections. No need to use backticks there::
+
+   See Also
+   --------
+   vlines : vertical lines
+   axhline : horizontal line across the Axes
+
+Wrap parameter lists
+^^^^^^^^^^^^^^^^^^^^
+
+Long parameter lists should be wrapped using a ``\`` for continuation and
+starting on the new line without any indent (no indent because pydoc will
+parse the docstring and strip the line continuation so that indent would
+result in a lot of whitespace within the line):
+
+.. code-block:: python
+
+  def add_axes(self, *args, **kwargs):
+      """
+      ...
+
+      Parameters
+      ----------
+      projection : {'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', \
+  'rectilinear'}, optional
+          The projection type of the axes.
+
+      ...
+      """
+
+Alternatively, you can describe the valid parameter values in a dedicated
+section of the docstring.
+
+rcParams
+^^^^^^^^
+
+rcParams can be referenced with the custom ``:rc:`` role:
+:literal:`:rc:\`foo\`` yields ``rcParams["foo"] = 'default'``, which is a link
+to the :file:`matplotlibrc` file description.
+
+Setters and getters
+-------------------
+
+Artist properties are implemented using setter and getter methods (because
+Matplotlib predates the Python `property` decorator).
+By convention, these setters and getters are named ``set_PROPERTYNAME`` and
+``get_PROPERTYNAME``; the list of properties thusly defined on an artist and
+their values can be listed by the `~.pyplot.setp` and `~.pyplot.getp` functions.
+
+The Parameters block of property setter methods is parsed to document the
+accepted values, e.g. the docstring of `.Line2D.set_linestyle` starts with
+
+.. code-block:: python
+
+   def set_linestyle(self, ls):
+       """
+       Set the linestyle of the line.
+
+       Parameters
+       ----------
+       ls : {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+           etc.
+       """
+
+which results in the following line in the output of ``plt.setp(line)`` or
+``plt.setp(line, "linestyle")``::
+
+    linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+
+In some rare cases (mostly, setters which accept both a single tuple and an
+unpacked tuple), the accepted values cannot be documented in such a fashion;
+in that case, they can be documented as an ``.. ACCEPTS:`` block, e.g. for
+`.axes.Axes.set_xlim`:
+
+.. code-block:: python
+
+   def set_xlim(self, left=None, right=None):
+       """
+       Set the x-axis view limits.
+
+       Parameters
+       ----------
+       left : float, optional
+           The left xlim in data coordinates. Passing *None* leaves the
+           limit unchanged.
+
+           The left and right xlims may also be passed as the tuple
+           (*left*, *right*) as the first positional argument (or as
+           the *left* keyword argument).
+
+           .. ACCEPTS: (bottom: float, top: float)
+
+       right : float, optional
+           etc.
+       """
+
+Note that the leading ``..`` makes the ``.. ACCEPTS:`` block a reST comment,
+hiding it from the rendered docs.
+
+Keyword arguments
+-----------------
+
+.. note::
+
+  The information in this section is being actively discussed by the
+  development team, so use the docstring interpolation only if necessary.
+  This section has been left in place for now because this interpolation
+  is part of the existing documentation.
+
+Since Matplotlib uses a lot of pass-through ``kwargs``, e.g., in every function
+that creates a line (`~.pyplot.plot`, `~.pyplot.semilogx`, `~.pyplot.semilogy`,
+etc.), it can be difficult for the new user to know which ``kwargs`` are
+supported.  Matplotlib uses a docstring interpolation scheme to support
+documentation of every function that takes a ``**kwargs``.  The requirements
+are:
+
+1. single point of configuration so changes to the properties don't
+   require multiple docstring edits.
+
+2. as automated as possible so that as properties change, the docs
+   are updated automatically.
+
+The ``@_docstring.interpd`` decorator implements this.  Any function accepting
+`.Line2D` pass-through ``kwargs``, e.g., `matplotlib.axes.Axes.plot`, can list
+a summary of the `.Line2D` properties, as follows:
+
+.. code-block:: python
+
+  # in axes.py
+  @_docstring.interpd
+  def plot(self, *args, **kwargs):
+      """
+      Some stuff omitted
+
+      Other Parameters
+      ----------------
+      scalex, scaley : bool, default: True
+          These parameters determine if the view limits are adapted to the
+          data limits. The values are passed on to `autoscale_view`.
+
+      **kwargs : `.Line2D` properties, optional
+          *kwargs* are used to specify properties like a line label (for
+          auto legends), linewidth, antialiasing, marker face color.
+          Example::
+
+          >>> plot([1, 2, 3], [1, 2, 3], 'go-', label='line 1', linewidth=2)
+          >>> plot([1, 2, 3], [1, 4, 9], 'rs', label='line 2')
+
+          If you specify multiple lines with one plot call, the kwargs apply
+          to all those lines. In case the label object is iterable, each
+          element is used as labels for each set of data.
+
+          Here is a list of available `.Line2D` properties:
+
+          %(Line2D:kwdoc)s
+      """
+
+The ``%(Line2D:kwdoc)`` syntax makes ``interpd`` lookup an `.Artist` subclass
+named ``Line2D``, and call `.artist.kwdoc` on that class.  `.artist.kwdoc`
+introspects the subclass and summarizes its properties as a substring, which
+gets interpolated into the docstring.
+
+Note that this scheme does not work for decorating an Artist's ``__init__``, as
+the subclass and its properties are not defined yet at that point.  Instead,
+``@_docstring.interpd`` can be used to decorate the class itself -- at that
+point, `.kwdoc` can list the properties and interpolate them into
+``__init__.__doc__``.
+
+
+Inherit docstrings
+------------------
+
+If a subclass overrides a method but does not change the semantics, we can
+reuse the parent docstring for the method of the child class. Python does this
+automatically, if the subclass method does not have a docstring.
+
+Use a plain comment ``# docstring inherited`` to denote the intention to reuse
+the parent docstring. That way we do not accidentally create a docstring in
+the future::
+
+    class A:
+        def foo():
+            """The parent docstring."""
+            pass
+
+    class B(A):
+        def foo():
+            # docstring inherited
+            pass
+
+
+.. _docstring-adding-figures:
+
+Add figures
+-----------
+
+As above (see :ref:`rst-figures-and-includes`), figures in the examples gallery
+can be referenced with a ``.. plot::`` directive pointing to the python script
+that created the figure.  For instance the `~.Axes.legend` docstring references
+the file :file:`examples/text_labels_and_annotations/legend.py`:
+
+.. code-block:: python
+
+    """
+    ...
+
+    Examples
+    --------
+
+    .. plot:: gallery/text_labels_and_annotations/legend.py
+    """
+
+Note that ``examples/text_labels_and_annotations/legend.py`` has been mapped to
+``gallery/text_labels_and_annotations/legend.py``, a redirection that may be
+fixed in future re-organization of the docs.
+
+Plots can also be directly placed inside docstrings.  Details are in
+:doc:`/api/sphinxext_plot_directive_api`.  A short example is:
+
+.. code-block:: python
+
+    """
+    ...
+
+    Examples
+    --------
+
+    .. plot::
+       import matplotlib.image as mpimg
+       img = mpimg.imread('_static/stinkbug.png')
+       imgplot = plt.imshow(img)
+    """
+
+An advantage of this style over referencing an example script is that the
+code will also appear in interactive docstrings.
+
+.. _inheritance-diagrams:
+
+Generate inheritance diagrams
+-----------------------------
+
+Class inheritance diagrams can be generated with the Sphinx
+`inheritance-diagram`_ directive.
+
+.. _inheritance-diagram: https://www.sphinx-doc.org/en/master/usage/extensions/inheritance.html
+
+Example:
+
+.. code-block:: rst
+
+    .. inheritance-diagram:: matplotlib.patches matplotlib.lines matplotlib.text
+       :parts: 2
+
+.. inheritance-diagram:: matplotlib.patches matplotlib.lines matplotlib.text
+   :parts: 2
+
+.. _writing-examples-and-tutorials:
+
+Write examples and tutorials
+============================
+
+Examples and tutorials are Python scripts that are run by `Sphinx Gallery`_.
+Sphinx Gallery finds ``*.py`` files in source directories and runs the files to
+create images and narrative that are embedded in ``*.rst`` files in a build
+location of the :file:`doc/` directory.  Files in the build location should not
+be directly edited as they will be overwritten by Sphinx gallery. Currently
+Matplotlib has four galleries as follows:
+
+===============================  ==========================
+Source location                  Build location
+===============================  ==========================
+:file:`galleries/plot_types`     :file:`doc/plot_types`
+:file:`galleries/examples`       :file:`doc/gallery`
+:file:`galleries/tutorials`      :file:`doc/tutorials`
+:file:`galleries/users_explain`  :file:`doc/users/explain`
+===============================  ==========================
+
+The first three are traditional galleries.  The last,
+:file:`galleries/users_explain`, is a mixed gallery where some of the files are
+raw ``*.rst`` files and some are ``*.py`` files; Sphinx Gallery just copies
+these ``*.rst`` files from the source location to the build location (see
+:ref:`raw_restructured_gallery`, below).
+
+In the Python files, to exclude an example from having a plot generated, insert
+"sgskip" somewhere in the filename.
+
+
+The format of these files is relatively straightforward.  Properly
+formatted comment blocks are treated as ReST_ text, the code is
+displayed, and figures are put into the built page.  Matplotlib uses the
+``# %%`` section separator so that IDEs will identify "code cells" to make
+it easy to re-run sub-sections of the example.
+
+For instance the example :doc:`/gallery/lines_bars_and_markers/simple_plot`
+example is generated from
+:file:`/galleries/examples/lines_bars_and_markers/simple_plot.py`, which looks
+like:
+
+.. code-block:: python
+
+    """
+    ===========
+    Simple Plot
+    ===========
+
+    Create a simple plot.
+    """
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    # Data for plotting
+    t = np.arange(0.0, 2.0, 0.01)
+    s = 1 + np.sin(2 * np.pi * t)
+
+    # Note that using plt.subplots below is equivalent to using
+    # fig = plt.figure and then ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
+    ax.plot(t, s)
+
+    ax.set(xlabel='time (s)', ylabel='voltage (mV)',
+           title='About as simple as it gets, folks')
+    ax.grid()
+    plt.show()
+
+The first comment block is treated as ReST_ text.  The other comment blocks
+render as comments in :doc:`/gallery/lines_bars_and_markers/simple_plot`.
+
+Tutorials are made with the exact same mechanism, except they are longer and
+typically have more than one comment block (i.e. :ref:`quick_start`).  The
+first comment block can be the same as the example above.  Subsequent blocks of
+ReST text are delimited by the line ``# %%`` :
+
+.. code-block:: python
+
+    """
+    ===========
+    Simple Plot
+    ===========
+
+    Create a simple plot.
+    """
+    ...
+    ax.grid()
+    plt.show()
+
+    # %%
+    # Second plot
+    # ===========
+    #
+    # This is a second plot that is very nice
+
+    fig, ax = plt.subplots()
+    ax.plot(np.sin(range(50)))
+
+In this way text, code, and figures are output in a "notebook" style.
+
+.. _sample-data:
+
+Sample data
+-----------
+
+When sample data comes from a public dataset, please cite the source of the
+data. Sample data should be written out in the code. When this is not
+feasible, the data can be loaded using `.cbook.get_sample_data`.
+
+.. code-block:: python
+
+    import matplotlib.cbook as cbook
+    fh = cbook.get_sample_data('mydata.dat')
+
+
+If the data is too large to be included in the code, it should be added to
+:file:`lib/matplotlib/mpl-data/sample_data/`
+
+Create mini-gallery
+-------------------
+
+The showcased Matplotlib functions should be listed in an admonition at the
+bottom as follows
+
+.. code-block:: python
+
+    # %%
+    #
+    # .. admonition:: References
+    #
+    #    The use of the following functions, methods, classes and modules is shown
+    #    in this example:
+    #
+    #    - `matplotlib.axes.Axes.fill` / `matplotlib.pyplot.fill`
+    #    - `matplotlib.axes.Axes.axis` / `matplotlib.pyplot.axis`
+
+This allows sphinx-gallery to place an entry to the example in the
+mini-gallery of the mentioned functions. Whether or not a function is mentioned
+here should be decided depending on if a mini-gallery link prominently helps
+to illustrate that function; e.g. mention ``matplotlib.pyplot.subplots`` only
+in examples that are about laying out subplots, not in every example that uses
+it.
+
+Functions that exist in ``pyplot`` as well as in Axes or Figure should mention
+both references no matter which one is used in the example code. The ``pyplot``
+reference should always be the second to mention; see the example above.
+
+
+Order examples
+--------------
+
+The order of the sections of the :ref:`tutorials` and the :ref:`gallery`, as
+well as the order of the examples within each section are determined in a
+two step process from within the :file:`/doc/sphinxext/gallery_order.py`:
+
+* *Explicit order*: This file contains a list of folders for the section order
+  and a list of examples for the subsection order. The order of the items
+  shown in the doc pages is the order those items appear in those lists.
+* *Implicit order*: If a folder or example is not in those lists, it will be
+  appended after the explicitly ordered items and all of those additional
+  items will be ordered by pathname (for the sections) or by filename
+  (for the subsections).
+
+As a consequence, if you want to let your example appear in a certain
+position in the gallery, extend those lists with your example.
+In case no explicit order is desired or necessary, still make sure
+to name your example consistently, i.e. use the main function or subject
+of the example as first word in the filename; e.g. an image example
+should ideally be named similar to :file:`imshow_mynewexample.py`.
+
+.. _raw_restructured_gallery:
+
+Raw restructured text files in the gallery
+------------------------------------------
+
+`Sphinx Gallery`_ folders usually consist of a ``README.txt`` and a series of
+Python source files that are then translated to an ``index.rst`` file and a
+series of ``example_name.rst`` files in the :file:`doc/` subdirectories.
+However, Sphinx Gallery also allows raw ``*.rst`` files to be passed through a
+gallery (see `Manually passing files`_ in the Sphinx Gallery documentation). We
+use this feature in :file:`galleries/users_explain`, where, for instance,
+:file:`galleries/users_explain/colors` is a regular Sphinx Gallery
+subdirectory, but  :file:`galleries/users_explain/artists` has a mix of
+``*.rst`` and ``*py`` files.  For mixed subdirectories like this, we must add
+any ``*.rst`` files to a ``:toctree:``, either in the ``README.txt`` or in a
+manual ``index.rst``.
+
+Examples guidelines
+-------------------
+
+The gallery of examples contains visual demonstrations of matplotlib features. Gallery
+examples exist so that users can scan through visual examples. Unlike tutorials or user
+guides, gallery examples teach by demonstration, rather than by explanation or
+instruction.
+
+Gallery examples should contain a very brief description of *what* is being demonstrated
+and, when relevant, *how* it is achieved. Explanations should be brief, providing only
+the minimal context necessary for understanding the example. Cross-link related
+documentation (e.g. tutorials, user guides and API entries) and tag the example with
+related concepts.
+
+Format
+^^^^^^
+
+All :ref:`examples-index` should aim to follow these guidelines:
+
+:Title: Describe content in a short sentence (approx. 1-6 words). Do not use *demo* as
+        this is implied by being an example. Avoid implied verbs such as *create*,
+        *make*, etc, e.g. *annotated heatmaps* is preferred to *create annotated
+        heatmaps*. Use the simple present tense when a verb is necessary, e.g. *Fill the
+        area between two curves*
+
+:Description: In a short paragraph (approx 1-3 sentences) describe what visualization
+              technique is being demonstrated and how library features are used to
+              execute the technique, e.g. *Set bar color and bar label entries using the
+              color and label parameters of ~Axes.bar*
+
+:Plot: Clearly demonstrate the subject and, when possible, show edge cases and different
+       applications. While the plot should be visually appealing, prioritize keeping the
+       plot uncluttered.
+
+:Code: Write the minimum necessary to showcase the feature that is the focus of the
+       example. Avoid custom styling and annotation (titles, legends, colors, etc.)
+       when it will not improve the clarity of the example.
+
+       Use short comments sparingly to describe what hard to follow parts of code are
+       doing. When more context or explanation is required, add a text paragraph before
+       the code example.
+
+:doc:`/gallery/misc/bbox_intersect` demonstrates the point of visual examples.
+This example is "messy" in that it's hard to categorize, but the gallery is the right
+spot for it because it makes sense to find it by visual search
+
+:doc:`/gallery/images_contours_and_fields/colormap_interactive_adjustment` is an
+example of a good descriptive title that briefly summarizes how the showcased
+library features are used to implement the demonstrated visualization technique.
+
+:doc:`/gallery/lines_bars_and_markers/lines_with_ticks_demo` is an example of having a
+minimal amount of code necessary to showcase the feature. The lack of extraneous code
+makes it easier for the reader to map which parts of code correspond to which parts of
+the plot.
+
+Figure size
+^^^^^^^^^^^
+When customizing figure sizes, we aim to avoid downscaling in rendered HTML docs.
+The current width limit (induced by *pydata-sphinx-theme*) is 720px, i.e.
+``figsize=(7.2, ...)``, or 896px if the page does not have subsections and
+thus does not have the "On this page" navigation on the right-hand side.
+
+
+Plot types guidelines
+---------------------
+
+The :ref:`plot_types` gallery provides an overview of the types of visualizations that
+Matplotlib provides out of the box, meaning that there is a high-level API for
+generating each type of chart. Additions to this gallery are generally discouraged
+because this gallery is heavily curated and tightly scoped to methods on
+`matplotlib.axes.Axes`.
+
+Format
+^^^^^^
+:title: Method signature with required arguments, e.g. ``plot(x, y)``
+:description: In one sentence, describe the visualization that the method produces and
+              link to the API documentation, e.g. *Draws a bar chart. See ~Axes.bar*.
+              When necessary, add an additional sentence explaining the use case for
+              this function vs a very similar one, e.g. stairs vs step.
+:plot: Use data with a self explanatory structure to illustrate the type of data this
+       plotting method is typically used for.
+:code: The code should be about 5-10 lines with minimal customization. Plots in
+       this gallery use the ``_mpl-gallery`` stylesheet for a uniform aesthetic.
+
+Miscellaneous
+=============
+
+Move documentation
+------------------
+
+Sometimes it is desirable to move or consolidate documentation.  With no
+action this will lead to links either going dead (404) or pointing to old
+versions of the documentation.  Preferable is to replace the old page
+with an html refresh that immediately redirects the viewer to the new
+page. So, for example we move ``/doc/topic/old_info.rst`` to
+``/doc/topic/new_info.rst``.  We remove ``/doc/topic/old_info.rst`` and
+in ``/doc/topic/new_info.rst`` we insert a ``redirect-from`` directive that
+tells sphinx to still make the old file with the html refresh/redirect in it
+(probably near the top of the file to make it noticeable)
+
+.. code-block:: rst
+
+   .. redirect-from:: /topic/old_info
+
+In the built docs this will yield an html file
+``/build/html/topic/old_info.html`` that has a refresh to ``new_info.html``.
+If the two files are in different subdirectories:
+
+.. code-block:: rst
+
+   .. redirect-from:: /old_topic/old_info2
+
+will yield an html file ``/build/html/old_topic/old_info2.html`` that has a
+(relative) refresh to ``../topic/new_info.html``.
+
+Use the full path for this directive, relative to the doc root at
+``https://matplotlib.org/stable/``.  So ``/old_topic/old_info2`` would be
+found by users at ``http://matplotlib.org/stable/old_topic/old_info2``.
+For clarity, do not use relative links.
+
+Navbar and style
+----------------
+
+Matplotlib has a few subprojects that share the same navbar and style, so these
+are centralized as a sphinx theme at
+`mpl_sphinx_theme <https://github.com/matplotlib/mpl-sphinx-theme>`_.  Changes to the
+style or topbar should be made there to propagate across all subprojects.
+
+
+Analytics
+==========
+
+Documentation page analytics are available at
+https://views.scientific-python.org/matplotlib.org.
+
+
+.. _ReST: https://docutils.sourceforge.io/rst.html
+.. _Sphinx: http://www.sphinx-doc.org
+.. _documentation: https://www.sphinx-doc.org/en/master/contents.html
+.. _index: http://www.sphinx-doc.org/markup/para.html#index-generating-markup
+.. _`Sphinx Gallery`: https://sphinx-gallery.readthedocs.io/en/latest/
+.. _references: https://www.sphinx-doc.org/en/stable/usage/restructuredtext/roles.html
+.. _`numpydoc docstring guide`: https://numpydoc.readthedocs.io/en/latest/format.html
+.. _`Manually passing files`: https://sphinx-gallery.github.io/stable/configuration.html#manually-passing-files
diff --git a/doc/devel/documenting_mpl.rst b/doc/devel/documenting_mpl.rst
deleted file mode 100644
index 758d49c462f0..000000000000
--- a/doc/devel/documenting_mpl.rst
+++ /dev/null
@@ -1,496 +0,0 @@
-.. _documenting-matplotlib:
-
-**********************
-Documenting matplotlib
-**********************
-
-Getting started
-===============
-
-The documentation for matplotlib is generated from ReStructured Text using the
-Sphinx_ documentation generation tool. Sphinx-1.0 or later and numpydoc 0.4 or
-later is required.
-
-The documentation sources are found in the :file:`doc/` directory in
-the trunk.  To build the users guide in html format, cd into
-:file:`doc/` and do::
-
-  python make.py html
-
-or::
-
-  ./make.py html
-
-you can also pass a ``latex`` flag to make.py to build a pdf, or pass no
-arguments to build everything.
-
-The output produced by Sphinx can be configured by editing the :file:`conf.py`
-file located in the :file:`doc/`.
-
-
-Organization of matplotlib's documentation
-==========================================
-
-The actual ReStructured Text files are kept in :file:`doc/users`,
-:file:`doc/devel`, :file:`doc/api` and :file:`doc/faq`. The main entry point is
-:file:`doc/index.rst`, which pulls in the :file:`index.rst` file for the users
-guide, developers guide, api reference, and faqs. The documentation suite is
-built as a single document in order to make the most effective use of cross
-referencing, we want to make navigating the Matplotlib documentation as easy as
-possible.
-
-Additional files can be added to the various guides by including their base
-file name (the .rst extension is not necessary) in the table of contents.
-It is also possible to include other documents through the use of an include
-statement, such as::
-
-  .. include:: ../../TODO
-
-docstrings
-----------
-
-In addition to the "narrative" documentation described above,
-matplotlib also defines its API reference documentation in docstrings.
-For the most part, these are standard Python docstrings, but
-matplotlib also includes some features to better support documenting
-getters and setters.
-
-Matplotlib uses artist introspection of docstrings to support
-properties.  All properties that you want to support through ``setp``
-and ``getp`` should have a ``set_property`` and ``get_property``
-method in the :class:`~matplotlib.artist.Artist` class.  Yes, this is
-not ideal given python properties or enthought traits, but it is a
-historical legacy for now.  The setter methods use the docstring with
-the ACCEPTS token to indicate the type of argument the method accepts.
-e.g., in :class:`matplotlib.lines.Line2D`::
-
-  # in lines.py
-  def set_linestyle(self, linestyle):
-      """
-      Set the linestyle of the line
-
-      ACCEPTS: [ '-' | '--' | '-.' | ':' | 'steps' | 'None' | ' ' | '' ]
-      """
-
-Since matplotlib uses a lot of pass-through ``kwargs``, e.g., in every
-function that creates a line (:func:`~matplotlib.pyplot.plot`,
-:func:`~matplotlib.pyplot.semilogx`,
-:func:`~matplotlib.pyplot.semilogy`, etc...), it can be difficult for
-the new user to know which ``kwargs`` are supported.  Matplotlib uses
-a docstring interpolation scheme to support documentation of every
-function that takes a ``**kwargs``.  The requirements are:
-
-1. single point of configuration so changes to the properties don't
-   require multiple docstring edits.
-
-2. as automated as possible so that as properties change, the docs
-   are updated automagically.
-
-The functions :attr:`matplotlib.artist.kwdocd` and
-:func:`matplotlib.artist.kwdoc` to facilitate this.  They combine
-python string interpolation in the docstring with the matplotlib
-artist introspection facility that underlies ``setp`` and ``getp``.
-The ``kwdocd`` is a single dictionary that maps class name to a
-docstring of ``kwargs``.  Here is an example from
-:mod:`matplotlib.lines`::
-
-  # in lines.py
-  artist.kwdocd['Line2D'] = artist.kwdoc(Line2D)
-
-Then in any function accepting :class:`~matplotlib.lines.Line2D`
-pass-through ``kwargs``, e.g., :meth:`matplotlib.axes.Axes.plot`::
-
-  # in axes.py
-  def plot(self, *args, **kwargs):
-      """
-      Some stuff omitted
-
-      The kwargs are Line2D properties:
-      %(Line2D)s
-
-      kwargs scalex and scaley, if defined, are passed on
-      to autoscale_view to determine whether the x and y axes are
-      autoscaled; default True.  See Axes.autoscale_view for more
-      information
-      """
-      pass
-  plot.__doc__ = cbook.dedent(plot.__doc__) % artist.kwdocd
-
-Note there is a problem for :class:`~matplotlib.artist.Artist`
-``__init__`` methods, e.g., :meth:`matplotlib.patches.Patch.__init__`,
-which supports ``Patch`` ``kwargs``, since the artist inspector cannot
-work until the class is fully defined and we can't modify the
-``Patch.__init__.__doc__`` docstring outside the class definition.
-There are some some manual hacks in this case, violating the
-"single entry point" requirement above -- see the
-``artist.kwdocd['Patch']`` setting in :mod:`matplotlib.patches`.
-
-.. _formatting-mpl-docs:
-
-Formatting
-==========
-
-The Sphinx website contains plenty of documentation_ concerning ReST markup and
-working with Sphinx in general. Here are a few additional things to keep in mind:
-
-* Please familiarize yourself with the Sphinx directives for `inline
-  markup`_. Matplotlib's documentation makes heavy use of cross-referencing and
-  other semantic markup. For example, when referring to external files, use the
-  ``:file:`` directive.
-
-* Function arguments and keywords should be referred to using the *emphasis*
-  role. This will keep matplotlib's documentation consistent with Python's
-  documentation::
-
-    Here is a description of *argument*
-
-  Please do not use the `default role`::
-
-    Please do not describe `argument` like this.
-
-  nor the ``literal`` role::
-
-    Please do not describe ``argument`` like this.
-
-* Sphinx does not support tables with column- or row-spanning cells for
-  latex output. Such tables can not be used when documenting matplotlib.
-
-* Mathematical expressions can be rendered as png images in html, and in the
-  usual way by latex. For example:
-
-  ``:math:`\sin(x_n^2)``` yields: :math:`\sin(x_n^2)`, and::
-
-    .. math::
-
-      \int_{-\infty}^{\infty}\frac{e^{i\phi}}{1+x^2\frac{e^{i\phi}}{1+x^2}}
-
-  yields:
-
-  .. math::
-
-    \int_{-\infty}^{\infty}\frac{e^{i\phi}}{1+x^2\frac{e^{i\phi}}{1+x^2}}
-
-* Interactive IPython sessions can be illustrated in the documentation using
-  the following directive::
-
-    .. sourcecode:: ipython
-
-      In [69]: lines = plot([1,2,3])
-
-  which would yield:
-
-  .. sourcecode:: ipython
-
-    In [69]: lines = plot([1,2,3])
-
-* Footnotes [#]_ can be added using ``[#]_``, followed later by::
-
-    .. rubric:: Footnotes
-
-    .. [#]
-
-  .. rubric:: Footnotes
-
-  .. [#] For example.
-
-* Use the *note* and *warning* directives, sparingly, to draw attention to
-  important comments::
-
-    .. note::
-       Here is a note
-
-  yields:
-
-  .. note::
-     here is a note
-
-  also:
-
-  .. warning::
-     here is a warning
-
-* Use the *deprecated* directive when appropriate::
-
-    .. deprecated:: 0.98
-       This feature is obsolete, use something else.
-
-  yields:
-
-  .. deprecated:: 0.98
-     This feature is obsolete, use something else.
-
-* Use the *versionadded* and *versionchanged* directives, which have similar
-  syntax to the *deprecated* role::
-
-    .. versionadded:: 0.98
-       The transforms have been completely revamped.
-
-  .. versionadded:: 0.98
-     The transforms have been completely revamped.
-
-* Use the *seealso* directive, for example::
-
-    .. seealso::
-
-       Using ReST :ref:`emacs-helpers`:
-          One example
-
-       A bit about :ref:`referring-to-mpl-docs`:
-          One more
-
-  yields:
-
-  .. seealso::
-
-     Using ResT :ref:`emacs-helpers`:
-        One example
-
-     A bit about :ref:`referring-to-mpl-docs`:
-        One more
-
-* Please keep the :ref:`glossary` in mind when writing documentation. You can
-  create a references to a term in the glossary with the ``:term:`` role.
-
-* The autodoc extension will handle index entries for the API, but additional
-  entries in the index_ need to be explicitly added.
-
-.. _Sphinx: http://sphinx.pocoo.org
-.. _documentation: http://sphinx.pocoo.org/contents.html
-.. _`inline markup`: http://sphinx.pocoo.org/markup/inline.html
-.. _index: http://sphinx.pocoo.org/markup/para.html#index-generating-markup
-
-* Please limit the text width of docstrings to 70 characters.
-
-* Keyword arguments should be described using a definition list.
-
-  .. note::
-     matplotlib makes extensive use of keyword arguments as pass-through
-     arguments, there are a many cases where a table is used in place of a
-     definition list for autogenerated sections of docstrings.
-
-Figures
-=======
-
-Dynamically generated figures
------------------------------
-
-Figures can be automatically generated from scripts and included in
-the docs.  It is not necessary to explicitly save the figure in the
-script, this will be done automatically at build time to ensure that
-the code that is included runs and produces the advertised figure.
-
-The path should be relative to the ``doc`` directory.  Any plots
-specific to the documentation should be added to the ``doc/pyplots``
-directory and committed to git.  Plots from the ``examples`` directory
-may be referenced through the symlink ``mpl_examples`` in the ``doc``
-directory.  e.g.::
-
-  .. plot:: mpl_examples/pylab_examples/simple_plot.py
-
-The ``:scale:`` directive rescales the image to some percentage of the
-original size, though we don't recommend using this in most cases
-since it is probably better to choose the correct figure size and dpi
-in mpl and let it handle the scaling.
-
-Plot directive documentation
-''''''''''''''''''''''''''''
-
-.. automodule:: matplotlib.sphinxext.plot_directive
-
-Static figures
---------------
-
-Any figures that rely on optional system configurations need to be handled a
-little differently. These figures are not to be generated during the
-documentation build, in order to keep the prerequisites to the documentation
-effort as low as possible. Please run the :file:`doc/pyplots/make.py` script
-when adding such figures, and commit the script **and** the images to
-git. Please also add a line to the README in doc/pyplots for any additional
-requirements necessary to generate a new figure. Once these steps have been
-taken, these figures can be included in the usual way::
-
-   .. plot:: pyplots/tex_unicode_demo.py
-      :include-source:
-
-Examples
---------
-
-The source of the files in the ``examples`` directory are
-automatically included in the HTML docs.  An image is generated and
-included for all examples in the ``api`` and ``pylab_examples``
-directories.  To exclude the example from having an image rendered,
-insert the following special comment anywhere in the script::
-
-  # -*- noplot -*-
-
-Animations
-----------
-
-We have a matplotlib google/gmail account with username ``mplgithub``
-which we used to setup the github account but can be used for other
-purposes, like hosting google docs or youtube videos.  You can embed a
-matplotlib animation in the docs by first saving the animation as a
-movie using :meth:`matplotlib.animation.Animation.save`, and then
-uploading to `matplotlib's youtube
-channel <http://www.youtube.com/user/matplotlib>`_ and inserting the
-embedding string youtube provides like::
-
-  .. raw:: html
-
-     <iframe width="420" height="315"
-       src="http://www.youtube.com/embed/32cjc6V0OZY"
-       frameborder="0" allowfullscreen>
-     </iframe>
-
-An example save command to generate a movie looks like this
-
-.. sourcecode:: python
-
-    ani = animation.FuncAnimation(fig, animate, np.arange(1, len(y)),
-        interval=25, blit=True, init_func=init)
-
-    ani.save('double_pendulum.mp4', fps=15)
-
-Contact Michael Droettboom for the login password to upload youtube videos of
-google docs to the mplgithub account.
-
-.. _referring-to-mpl-docs:
-
-Referring to mpl documents
-==========================
-
-In the documentation, you may want to include to a document in the
-matplotlib src, e.g., a license file or an image file from `mpl-data`,
-refer to it via a relative path from the document where the rst file
-resides, e.g., in :file:`users/navigation_toolbar.rst`, we refer to the
-image icons with::
-
-    .. image:: ../../lib/matplotlib/mpl-data/images/subplots.png
-
-In the `users` subdirectory, if I want to refer to a file in the mpl-data
-directory, I use the symlink directory.  For example, from
-`customizing.rst`::
-
-    .. literalinclude:: ../../lib/matplotlib/mpl-data/matplotlibrc
-
-One exception to this is when referring to the examples dir.  Relative
-paths are extremely confusing in the sphinx plot extensions, so
-without getting into the dirty details, it is easier to simply include
-a symlink to the files at the top doc level directory.  This way, API
-documents like :meth:`matplotlib.pyplot.plot` can refer to the
-examples in a known location.
-
-In the top level doc directory we have symlinks pointing to
-the mpl `examples`::
-
-    home:~/mpl/doc> ls -l mpl_*
-    mpl_examples -> ../examples
-
-So we can include plots from the examples dir using the symlink::
-
-    .. plot:: mpl_examples/pylab_examples/simple_plot.py
-
-
-We used to use a symlink for :file:`mpl-data` too, but the distro
-becomes very large on platforms that do not support links (e.g., the font
-files are duplicated and large)
-
-.. _internal-section-refs:
-
-Internal section references
-===========================
-
-To maximize internal consistency in section labeling and references,
-use hyphen separated, descriptive labels for section references, e.g.,::
-
-    .. _howto-webapp:
-
-and refer to it using  the standard reference syntax::
-
-    See :ref:`howto-webapp`
-
-Keep in mind that we may want to reorganize the contents later, so
-let's avoid top level names in references like ``user`` or ``devel``
-or ``faq`` unless necessary, because for example the FAQ "what is a
-backend?" could later become part of the users guide, so the label::
-
-    .. _what-is-a-backend
-
-is better than::
-
-    .. _faq-backend
-
-In addition, since underscores are widely used by Sphinx itself, let's prefer
-hyphens to separate words.
-
-
-
-Section names, etc
-==================
-
-For everything but top level chapters, please use ``Upper lower`` for
-section titles, e.g., ``Possible hangups`` rather than ``Possible
-Hangups``
-
-Inheritance diagrams
-====================
-
-Class inheritance diagrams can be generated with the
-``inheritance-diagram`` directive.  To use it, you provide the
-directive with a number of class or module names (separated by
-whitespace).  If a module name is provided, all classes in that module
-will be used.  All of the ancestors of these classes will be included
-in the inheritance diagram.
-
-A single option is available: *parts* controls how many of parts in
-the path to the class are shown.  For example, if *parts* == 1, the
-class ``matplotlib.patches.Patch`` is shown as ``Patch``.  If *parts*
-== 2, it is shown as ``patches.Patch``.  If *parts* == 0, the full
-path is shown.
-
-Example::
-
-    .. inheritance-diagram:: matplotlib.patches matplotlib.lines matplotlib.text
-       :parts: 2
-
-.. inheritance-diagram:: matplotlib.patches matplotlib.lines matplotlib.text
-   :parts: 2
-
-
-.. _emacs-helpers:
-
-Emacs helpers
-=============
-
-There is an emacs mode `rst.el
-<http://docutils.sourceforge.net/tools/editors/emacs/rst.el>`_ which
-automates many important ReST tasks like building and updating
-table-of-contents, and promoting or demoting section headings.  Here
-is the basic ``.emacs`` configuration::
-
-    (require 'rst)
-    (setq auto-mode-alist
-          (append '(("\\.txt$" . rst-mode)
-                    ("\\.rst$" . rst-mode)
-                    ("\\.rest$" . rst-mode)) auto-mode-alist))
-
-
-Some helpful functions::
-
-    C-c TAB - rst-toc-insert
-
-      Insert table of contents at point
-
-    C-c C-u - rst-toc-update
-
-        Update the table of contents at point
-
-    C-c C-l rst-shift-region-left
-
-        Shift region to the left
-
-    C-c C-r rst-shift-region-right
-
-        Shift region to the right
-
-.. TODO: Add section about uploading docs
diff --git a/doc/devel/gitwash/configure_git.rst b/doc/devel/gitwash/configure_git.rst
deleted file mode 100644
index 70c6a5a37b63..000000000000
--- a/doc/devel/gitwash/configure_git.rst
+++ /dev/null
@@ -1,130 +0,0 @@
-.. _configure-git:
-
-===============
- Configure git
-===============
-
-.. _git-config-basic:
-
-Overview
-========
-
-Your personal git_ configurations are saved in the ``.gitconfig`` file in
-your home directory.
-Here is an example ``.gitconfig`` file::
-
-  [user]
-          name = Your Name
-          email = you@yourdomain.example.com
-
-  [alias]
-          ci = commit -a
-          co = checkout
-          st = status -a
-          stat = status -a
-          br = branch
-          wdiff = diff --color-words
-
-  [core]
-          editor = vim
-
-  [merge]
-          summary = true
-
-  [apply]
-          whitespace = fix
-
-  [core]
-          autocrlf = input
-
-
-You can edit this file directly or you can use the ``git config --global``
-command::
-
-  git config --global user.name "Your Name"
-  git config --global user.email you@yourdomain.example.com
-  git config --global alias.ci "commit -a"
-  git config --global alias.co checkout
-  git config --global alias.st "status -a"
-  git config --global alias.stat "status -a"
-  git config --global alias.br branch
-  git config --global alias.wdiff "diff --color-words"
-  git config --global core.editor vim
-  git config --global merge.summary true
-
-To set up on another computer, you can copy your ``~/.gitconfig`` file,
-or run the commands above.
-
-In detail
-=========
-
-user.name and user.email
-------------------------
-
-It is good practice to tell git_ who you are, for labeling any changes
-you make to the code.  The simplest way to do this is from the command
-line::
-
-  git config --global user.name "Your Name"
-  git config --global user.email you@yourdomain.example.com
-
-This will write the settings into your git configuration file,  which
-should now contain a user section with your name and email::
-
-  [user]
-        name = Your Name
-        email = you@yourdomain.example.com
-
-Of course you'll need to replace ``Your Name`` and ``you@yourdomain.example.com``
-with your actual name and email address.
-
-Aliases
--------
-
-You might well benefit from some aliases to common commands.
-
-For example, you might well want to be able to shorten ``git checkout``
-to ``git co``.  Or you may want to alias ``git diff --color-words``
-(which gives a nicely formatted output of the diff) to ``git wdiff``
-
-The following ``git config --global`` commands::
-
-  git config --global alias.ci "commit -a"
-  git config --global alias.co checkout
-  git config --global alias.st "status -a"
-  git config --global alias.stat "status -a"
-  git config --global alias.br branch
-  git config --global alias.wdiff "diff --color-words"
-
-will create an ``alias`` section in your ``.gitconfig`` file with contents
-like this::
-
-  [alias]
-          ci = commit -a
-          co = checkout
-          st = status -a
-          stat = status -a
-          br = branch
-          wdiff = diff --color-words
-
-Editor
-------
-
-You may also want to make sure that your editor of choice is used ::
-
-  git config --global core.editor vim
-
-Merging
--------
-
-To enforce summaries when doing merges (``~/.gitconfig`` file again)::
-
-   [merge]
-      log = true
-
-Or from the command line::
-
-  git config --global merge.log true
-
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/development_workflow.rst b/doc/devel/gitwash/development_workflow.rst
deleted file mode 100644
index 6bc15bc0125c..000000000000
--- a/doc/devel/gitwash/development_workflow.rst
+++ /dev/null
@@ -1,280 +0,0 @@
-.. _development-workflow:
-
-====================
-Development workflow
-====================
-
-You've discovered a bug or something else you want to change
-in matplotlib_ .. |emdash| excellent!
-
-You've worked out a way to fix it |emdash| even better!
-
-You want to tell us about it |emdash| best of all!
-
-The easiest way to contribute to matplotlib_ is through github_.  If
-for some reason you don't want to use github, see
-:ref:`making-patches` for instructions on how to email patches to the
-mailing list.
-
-You already have your own forked copy of the matplotlib_ repository, by
-following :ref:`forking`, :ref:`set-up-fork`, and you have configured
-git_ by following :ref:`configure-git`.
-
-Workflow summary
-================
-
-* Keep your ``master`` branch clean of edits that have not been merged
-  to the main matplotlib_ development repo.  Your ``master`` then will follow
-  the main matplotlib_ repository.
-* Start a new *feature branch* for each set of edits that you do.
-* Do not merge the ``master`` branch or maintenance tracking branches
-  into your feature branch.  If you need to include commits from upstream
-  branches (either to pick up a bug fix or to resolve a conflict) please
-  *rebase* your branch on the upstream branch.
-* Ask for review!
-
-This way of working really helps to keep work well organized, and in
-keeping history as clear as possible.
-
-See |emdash| for example |emdash| `linux git workflow`_.
-
-Making a new feature branch
-===========================
-
-::
-
-   git checkout -b my-new-feature master
-
-This will create and immediately check out a feature branch based on
-``master``.  To create a feature branch based on a maintenance branch,
-use::
-
-   git fetch origin
-   git checkout -b my-new-feature origin/v1.0.x
-
-Generally, you will want to keep this also on your public github_ fork
-of matplotlib_.  To do this, you `git push`_ this new branch up to your github_
-repo.  Generally (if you followed the instructions in these pages, and
-by default), git will have a link to your github_ repo, called
-``origin``.  You push up to your own repo on github_ with::
-
-   git push origin my-new-feature
-
-You will need to use this exact command, rather than simply ``git
-push`` every time you want to push changes on your feature branch to
-your github_ repo.  However, in git >1.7 you can set up a link by
-using the ``--set-upstream`` option::
-
-   git push --set-upstream origin my-new-feature
-
-and then next time you need to push changes to your branch a simple
-``git push`` will suffice. Note that ``git push`` pushes out all
-branches that are linked to a remote branch.
-
-The editing workflow
-====================
-
-Overview
---------
-
-::
-
-   # hack hack
-   git add my_new_file
-   git commit -am 'NF - some message'
-   git push
-
-In more detail
---------------
-
-#. Make some changes
-#. See which files have changed with ``git status`` (see `git status`_).
-   You'll see a listing like this one::
-
-     # On branch ny-new-feature
-     # Changed but not updated:
-     #   (use "git add <file>..." to update what will be committed)
-     #   (use "git checkout -- <file>..." to discard changes in working directory)
-     #
-     #  modified:   README
-     #
-     # Untracked files:
-     #   (use "git add <file>..." to include in what will be committed)
-     #
-     #  INSTALL
-     no changes added to commit (use "git add" and/or "git commit -a")
-
-#. Check what the actual changes are with ``git diff`` (`git diff`_).
-#. Add any new files to version control ``git add new_file_name`` (see
-   `git add`_).
-#. To commit all modified files into the local copy of your repo,, do
-   ``git commit -am 'A commit message'``.  Note the ``-am`` options to
-   ``commit``. The ``m`` flag just signals that you're going to type a
-   message on the command line.  The ``a`` flag |emdash| you can just take on
-   faith |emdash| or see `why the -a flag?`_ |emdash| and the helpful use-case
-   description in the `tangled working copy problem`_. The `git commit`_ manual
-   page might also be useful.
-#. To push the changes up to your forked repo on github_, do a ``git
-   push`` (see `git push`).
-
-Asking for code review |emdash| open a Pull Request (PR)
-========================================================
-
-It's a good idea to consult the :ref:`pull-request-checklist` to make
-sure your pull request is ready for merging.
-
-
-#. Go to your repo URL |emdash| e.g.,
-   ``http://github.com/your-user-name/matplotlib``.
-
-#. Select your feature branch from the drop down menu:
-
-#. Click on the green button:
-
-#. Make sure that you are requesting a pull against the correct branch
-
-#. Enter a PR heading and description (if there is only one commit in
-   the PR github will automatically fill these fields for you).  If
-   this PR is addressing a specific issue, please reference it by number
-   (ex #1325) which github will automatically make into links.
-
-#. Click 'Create Pull Request' button!
-
-#. Discussion of the change will take place in the pull request
-   thread.
-
-
-Staying up to date with changes in the central repository
-=========================================================
-
-This updates your working copy from the upstream `matplotlib github`_
-repo.
-
-Overview
---------
-
-::
-
-   # go to your master branch
-   git checkout master
-   # pull changes from github
-   git fetch upstream
-   # merge from upstream
-   git merge --ff-only upstream/master
-
-In detail
----------
-
-We suggest that you do this only for your ``master`` branch, and leave
-your 'feature' branches unmerged, to keep their history as clean as
-possible.  This makes code review easier::
-
-   git checkout master
-
-Make sure you have done :ref:`linking-to-upstream`.
-
-Merge the upstream code into your current development by first pulling
-the upstream repo to a copy on your local machine::
-
-   git fetch upstream
-
-then merging into your current branch::
-
-   git merge --ff-only upstream/master
-
-The ``--ff-only`` option guarantees that if you have mistakenly
-committed code on your ``master`` branch, the merge fails at this point.
-If you were to merge ``upstream/master`` to your ``master``, you
-would start to diverge from the upstream. If this command fails, see
-the section on accidents_.
-
-The letters 'ff' in ``--ff-only`` mean 'fast forward', which is a
-special case of merge where git can simply update your branch to point
-to the other branch and not do any actual merging of files. For
-``master`` and other integration branches this is exactly what you
-want.
-
-Other integration branches
---------------------------
-
-Some people like to keep separate local branches corresponding to the
-maintenance branches on github. At the time of this writing, ``v1.0.x``
-is the active maintenance branch. If you have such a local branch,
-treat is just as ``master``: don't commit on it, and before starting
-new branches off of it, update it from upstream::
-
-   git checkout v1.0.x
-   git fetch upstream
-   git merge --ff-only upstream/v1.0.x
-
-But you don't necessarily have to have such a branch. Instead, if you
-are preparing a bugfix that applies to the maintenance branch, fetch
-from upstream and base your bugfix on the remote branch::
-
-   git fetch upstream
-   git checkout -b my-bug-fix upstream/v1.0.x
-
-.. _accidents:
-
-Recovering from accidental commits on master
---------------------------------------------
-
-If you have accidentally committed changes on ``master`` and
-``git merge --ff-only`` fails, don't panic! First find out how much
-you have diverged::
-
-   git diff upstream/master...master
-
-If you find that you want simply to get rid of the changes, reset
-your ``master`` branch to the upstream version::
-
-   git reset --hard upstream/master
-
-As you might surmise from the words 'reset' and 'hard', this command
-actually causes your changes to the current branch to be lost, so
-think twice.
-
-If, on the other hand, you find that you want to preserve the changes,
-create a feature branch for them::
-
-   git checkout -b my-important-changes
-
-Now ``my-important-changes`` points to the branch that has your
-changes, and you can safely reset ``master`` as above |emdash| but
-make sure to reset the correct branch::
-
-   git checkout master
-   git reset --hard upstream/master
-
-
-Deleting a branch on github_
-============================
-
-::
-
-   git checkout master
-   # delete branch locally
-   git branch -D my-unwanted-branch
-   # delete branch on github
-   git push origin :my-unwanted-branch
-
-(Note the colon ``:`` before ``test-branch``.  See also:
-http://github.com/guides/remove-a-remote-branch
-
-
-Exploring your repository
-=========================
-
-To see a graphical representation of the repository branches and
-commits::
-
-   gitk --all
-
-To see a linear list of commits for this branch::
-
-   git log
-
-You can also look at the `network graph visualizer`_ for your github_
-repo.
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/dot2_dot3.rst b/doc/devel/gitwash/dot2_dot3.rst
deleted file mode 100644
index 7759e2e60d68..000000000000
--- a/doc/devel/gitwash/dot2_dot3.rst
+++ /dev/null
@@ -1,28 +0,0 @@
-.. _dot2-dot3:
-
-========================================
- Two and three dots in difference specs
-========================================
-
-Thanks to Yarik Halchenko for this explanation.
-
-Imagine a series of commits A, B, C, D...  Imagine that there are two
-branches, *topic* and *master*.  You branched *topic* off *master* when
-*master* was at commit 'E'.  The graph of the commits looks like this::
-
-
-        A---B---C topic
-        /
-   D---E---F---G master
-
-Then::
-
-   git diff master..topic
-
-will output the difference from G to C (i.e. with effects of F and G),
-while::
-
-   git diff master...topic
-
-would output just differences in the topic branch (i.e. only A, B, and
-C).
diff --git a/doc/devel/gitwash/following_latest.rst b/doc/devel/gitwash/following_latest.rst
deleted file mode 100644
index 4419abd82d69..000000000000
--- a/doc/devel/gitwash/following_latest.rst
+++ /dev/null
@@ -1,36 +0,0 @@
-.. _following-latest:
-
-=============================
- Following the latest source
-=============================
-
-These are the instructions if you just want to follow the latest
-*matplotlib* source, but you don't need to do any development for now.
-
-The steps are:
-
-* :ref:`install-git`
-* get local copy of the git repository from github_
-* update local copy from time to time
-
-Get the local copy of the code
-==============================
-
-From the command line::
-
-   git clone git://github.com/matplotlib/matplotlib.git
-
-You now have a copy of the code tree in the new ``matplotlib`` directory.
-
-Updating the code
-=================
-
-From time to time you may want to pull down the latest code.  Do this with::
-
-   cd matplotlib
-   git pull
-
-The tree in ``matplotlib`` will now have the latest changes from the initial
-repository.
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/forking_button.png b/doc/devel/gitwash/forking_button.png
deleted file mode 100644
index d0e04134d4d0..000000000000
Binary files a/doc/devel/gitwash/forking_button.png and /dev/null differ
diff --git a/doc/devel/gitwash/forking_hell.rst b/doc/devel/gitwash/forking_hell.rst
deleted file mode 100644
index 261ae775d7dc..000000000000
--- a/doc/devel/gitwash/forking_hell.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-.. _forking:
-
-==========================================
-Making your own copy (fork) of matplotlib
-==========================================
-
-You need to do this only once.  The instructions here are very similar
-to the instructions at http://help.github.com/forking/ |emdash| please see
-that page for more detail.  We're repeating some of it here just to give the
-specifics for the matplotlib_ project, and to suggest some default names.
-
-Set up and configure a github_ account
-======================================
-
-If you don't have a github_ account, go to the github_ page, and make one.
-
-You then need to configure your account to allow write access |emdash| see
-the ``Generating SSH keys`` help on `github help`_.
-
-Create your own forked copy of matplotlib_
-===========================================
-
-#. Log into your github_ account.
-#. Go to the matplotlib_ github home at `matplotlib github`_.
-#. Click on the *fork* button:
-
-   .. image:: forking_button.png
-
-   Now, after a short pause you should find yourself at the home page
-   for your own forked copy of matplotlib_.
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/git_development.rst b/doc/devel/gitwash/git_development.rst
deleted file mode 100644
index 1a5e19f04c3f..000000000000
--- a/doc/devel/gitwash/git_development.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-.. _git-development:
-
-=====================
- Git for development
-=====================
-
-Contents:
-
-.. toctree::
-   :maxdepth: 2
-
-   forking_hell
-   set_up_fork
-   configure_git
-   development_workflow
-   dot2_dot3
\ No newline at end of file
diff --git a/doc/devel/gitwash/git_install.rst b/doc/devel/gitwash/git_install.rst
deleted file mode 100644
index a87224d4e412..000000000000
--- a/doc/devel/gitwash/git_install.rst
+++ /dev/null
@@ -1,26 +0,0 @@
-.. _install-git:
-
-=============
- Install git
-=============
-
-Overview
-========
-
-================ =============
-Debian / Ubuntu  ``sudo apt-get install git-core``
-Fedora           ``sudo yum install git-core``
-Windows          Download and install msysGit_
-OS X             Use the git-osx-installer_
-================ =============
-
-In detail
-=========
-
-See the git_ page for the most recent information.
-
-Have a look at the github_ install help pages available from `github help`_
-
-There are good instructions here: http://book.git-scm.com/2_installing_git.html
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/git_intro.rst b/doc/devel/gitwash/git_intro.rst
deleted file mode 100644
index 786eb84d5bd3..000000000000
--- a/doc/devel/gitwash/git_intro.rst
+++ /dev/null
@@ -1,18 +0,0 @@
-==============
- Introduction
-==============
-
-These pages describe a git_ and github_ workflow for the matplotlib_
-project.
-
-There are several different workflows here, for different ways of
-working with *matplotlib*.
-
-This is not a comprehensive git_ reference, it's just a workflow for our
-own project.  It's tailored to the github_ hosting service. You may well
-find better or quicker ways of getting stuff done with git_, but these
-should get you started.
-
-For general resources for learning git_ see :ref:`git-resources`.
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/git_links.inc b/doc/devel/gitwash/git_links.inc
deleted file mode 100644
index 5b769eccb6fb..000000000000
--- a/doc/devel/gitwash/git_links.inc
+++ /dev/null
@@ -1,54 +0,0 @@
-.. This (-*- rst -*-) format file contains commonly used link targets
-   and name substitutions.  It may be included in many files,
-   therefore it should only contain link targets and name
-   substitutions.  Try grepping for "^\.\. _" to find plausible
-   candidates for this list.
-
-.. NOTE: reST targets are
-   __not_case_sensitive__, so only one target definition is needed for
-   nipy, NIPY, Nipy, etc...
-
-.. git stuff
-.. _git: http://git-scm.com/
-.. _github: http://github.com
-.. _github help: http://help.github.com
-.. _msysgit: http://code.google.com/p/msysgit/downloads/list
-.. _git-osx-installer: http://code.google.com/p/git-osx-installer/downloads/list
-.. _subversion: http://subversion.tigris.org/
-.. _git cheat sheet: http://github.com/guides/git-cheat-sheet
-.. _pro git book: http://progit.org/
-.. _git svn crash course: http://git-scm.com/course/svn.html
-.. _learn.github: http://learn.github.com/
-.. _network graph visualizer: http://github.com/blog/39-say-hello-to-the-network-graph-visualizer
-.. _git user manual: http://schacon.github.com/git/user-manual.html
-.. _git tutorial: http://schacon.github.com/git/gittutorial.html
-.. _git community book: http://book.git-scm.com/
-.. _git ready: http://www.gitready.com/
-.. _git casts: http://www.gitcasts.com/
-.. _Fernando's git page: http://www.fperez.org/py4science/git.html
-.. _git magic: http://www-cs-students.stanford.edu/~blynn/gitmagic/index.html
-.. _git concepts: http://www.eecs.harvard.edu/~cduan/technical/git/
-.. _git clone: http://schacon.github.com/git/git-clone.html
-.. _git checkout: http://schacon.github.com/git/git-checkout.html
-.. _git commit: http://schacon.github.com/git/git-commit.html
-.. _git push: http://schacon.github.com/git/git-push.html
-.. _git pull: http://schacon.github.com/git/git-pull.html
-.. _git add: http://schacon.github.com/git/git-add.html
-.. _git status: http://schacon.github.com/git/git-status.html
-.. _git diff: http://schacon.github.com/git/git-diff.html
-.. _git log: http://schacon.github.com/git/git-log.html
-.. _git branch: http://schacon.github.com/git/git-branch.html
-.. _git remote: http://schacon.github.com/git/git-remote.html
-.. _git config: http://schacon.github.com/git/git-config.html
-.. _why the -a flag?: http://www.gitready.com/beginner/2009/01/18/the-staging-area.html
-.. _git staging area: http://www.gitready.com/beginner/2009/01/18/the-staging-area.html
-.. _tangled working copy problem: http://tomayko.com/writings/the-thing-about-git
-.. _git management: http://kerneltrap.org/Linux/Git_Management
-.. _linux git workflow: http://www.mail-archive.com/dri-devel@lists.sourceforge.net/msg39091.html
-.. _git parable: http://tom.preston-werner.com/2009/05/19/the-git-parable.html
-.. _git foundation: http://matthew-brett.github.com/pydagogue/foundation.html
-
-.. other stuff
-.. _python: http://www.python.org
-
-.. |emdash| unicode:: U+02014
diff --git a/doc/devel/gitwash/git_resources.rst b/doc/devel/gitwash/git_resources.rst
deleted file mode 100644
index e081328967a3..000000000000
--- a/doc/devel/gitwash/git_resources.rst
+++ /dev/null
@@ -1,59 +0,0 @@
-.. _git-resources:
-
-================
- git_ resources
-================
-
-Tutorials and summaries
-=======================
-
-* `github help`_ has an excellent series of how-to guides.
-* `learn.github`_ has an excellent series of tutorials
-* The `pro git book`_ is a good in-depth book on git.
-* A `git cheat sheet`_ is a page giving summaries of common commands.
-* The `git user manual`_
-* The `git tutorial`_
-* The `git community book`_
-* `git ready`_ |emdash| a nice series of tutorials
-* `git casts`_ |emdash| video snippets giving git how-tos.
-* `git magic`_ |emdash| extended introduction with intermediate detail
-* The `git parable`_ is an easy read explaining the concepts behind git.
-* Our own `git foundation`_ expands on the `git parable`_.
-* Fernando Perez' git page |emdash| `Fernando's git page`_ |emdash| many
-  links and tips
-* A good but technical page on `git concepts`_
-* `git svn crash course`_: git_ for those of us used to subversion_
-
-Advanced git workflow
-=====================
-
-There are many ways of working with git_; here are some posts on the
-rules of thumb that other projects have come up with:
-
-* Linus Torvalds on `git management`_
-* Linus Torvalds on `linux git workflow`_ .  Summary; use the git tools
-  to make the history of your edits as clean as possible; merge from
-  upstream edits as little as possible in branches where you are doing
-  active development.
-
-Manual pages online
-===================
-
-You can get these on your own machine with (e.g) ``git help push`` or
-(same thing) ``git push --help``, but, for convenience, here are the
-online manual pages for some common commands:
-
-* `git add`_
-* `git branch`_
-* `git checkout`_
-* `git clone`_
-* `git commit`_
-* `git config`_
-* `git diff`_
-* `git log`_
-* `git pull`_
-* `git push`_
-* `git remote`_
-* `git status`_
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/index.rst b/doc/devel/gitwash/index.rst
deleted file mode 100644
index c9567cc7e359..000000000000
--- a/doc/devel/gitwash/index.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-.. _using-git:
-
-Working with *matplotlib* source code
-======================================
-
-Contents:
-
-.. toctree::
-   :maxdepth: 2
-
-   git_intro
-   git_install
-   following_latest
-   git_development
-   git_resources
-   patching
diff --git a/doc/devel/gitwash/known_projects.inc b/doc/devel/gitwash/known_projects.inc
deleted file mode 100644
index afbc85844ea5..000000000000
--- a/doc/devel/gitwash/known_projects.inc
+++ /dev/null
@@ -1,41 +0,0 @@
-.. Known projects
-
-.. PROJECTNAME placeholders
-.. _PROJECTNAME: http://neuroimaging.scipy.org
-.. _`PROJECTNAME github`: http://github.com/nipy
-.. _`PROJECTNAME mailing list`: http://projects.scipy.org/mailman/listinfo/nipy-devel
-
-.. numpy
-.. _numpy: hhttp://numpy.scipy.org
-.. _`numpy github`: http://github.com/numpy/numpy
-.. _`numpy mailing list`: http://mail.scipy.org/mailman/listinfo/numpy-discussion
-
-.. scipy
-.. _scipy: http://www.scipy.org
-.. _`scipy github`: http://github.com/scipy/scipy
-.. _`scipy mailing list`: http://mail.scipy.org/mailman/listinfo/scipy-dev
-
-.. nipy
-.. _nipy: http://nipy.org/nipy
-.. _`nipy github`: http://github.com/nipy/nipy
-.. _`nipy mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
-
-.. ipython
-.. _ipython: http://ipython.org
-.. _`ipython github`: http://github.com/ipython/ipython
-.. _`ipython mailing list`: http://mail.scipy.org/mailman/listinfo/IPython-dev
-
-.. dipy
-.. _dipy: http://nipy.org/dipy
-.. _`dipy github`: http://github.com/Garyfallidis/dipy
-.. _`dipy mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
-
-.. nibabel
-.. _nibabel: http://nipy.org/nibabel
-.. _`nibabel github`: http://github.com/nipy/nibabel
-.. _`nibabel mailing list`: http://mail.scipy.org/mailman/listinfo/nipy-devel
-
-.. marsbar
-.. _marsbar: http://marsbar.sourceforge.net
-.. _`marsbar github`: http://github.com/matthew-brett/marsbar
-.. _`MarsBaR mailing list`: https://lists.sourceforge.net/lists/listinfo/marsbar-users
diff --git a/doc/devel/gitwash/links.inc b/doc/devel/gitwash/links.inc
deleted file mode 100644
index 20f4dcfffd4a..000000000000
--- a/doc/devel/gitwash/links.inc
+++ /dev/null
@@ -1,4 +0,0 @@
-.. compiling links file
-.. include:: known_projects.inc
-.. include:: this_project.inc
-.. include:: git_links.inc
diff --git a/doc/devel/gitwash/patching.rst b/doc/devel/gitwash/patching.rst
deleted file mode 100644
index fb42e1ef3af3..000000000000
--- a/doc/devel/gitwash/patching.rst
+++ /dev/null
@@ -1,97 +0,0 @@
-================
- Making a patch
-================
-
-.. _making-patches:
-
-Making patches
-==============
-
-Overview
---------
-
-::
-
-   # tell git who you are
-   git config --global user.email you@yourdomain.example.com
-   git config --global user.name "Your Name Comes Here"
-   # get the repository if you don't have it
-   git clone git://github.com/matplotlib/matplotlib.git
-   # make a branch for your patching
-   cd matplotlib
-   git branch the-fix-im-thinking-of
-   git checkout the-fix-im-thinking-of
-   # hack, hack, hack
-   # Tell git about any new files you've made
-   git add somewhere/tests/test_my_bug.py
-   # commit work in progress as you go
-   git commit -am 'BF - added tests for Funny bug'
-   # hack hack, hack
-   git commit -am 'BF - added fix for Funny bug'
-   # make the patch files
-   git format-patch -M -C master
-
-Then, send the generated patch files to the `matplotlib
-mailing list`_ |emdash| where we will thank you warmly.
-
-In detail
----------
-
-#. Tell git_ who you are so it can label the commits you've
-   made::
-
-      git config --global user.email you@yourdomain.example.com
-      git config --global user.name "Your Name Comes Here"
-
-#. If you don't already have one, clone a copy of the
-   matplotlib_ repository::
-
-      git clone git://github.com/matplotlib/matplotlib.git
-      cd matplotlib
-
-#. Make a 'feature branch'.  This will be where you work on
-   your bug fix.  It's nice and safe and leaves you with
-   access to an unmodified copy of the code in the main
-   branch::
-
-      git branch the-fix-im-thinking-of
-      git checkout the-fix-im-thinking-of
-
-#. Do some edits, and commit them as you go::
-
-      # hack, hack, hack
-      # Tell git about any new files you've made
-      git add somewhere/tests/test_my_bug.py
-      # commit work in progress as you go
-      git commit -am 'BF - added tests for Funny bug'
-      # hack hack, hack
-      git commit -am 'BF - added fix for Funny bug'
-
-   Note the ``-am`` options to ``commit``. The ``m`` flag just
-   signals that you're going to type a message on the command
-   line.  The ``a`` flag |emdash| you can just take on faith |emdash|
-   or see `why the -a flag?`_.
-
-#. When you have finished, check you have committed all your
-   changes::
-
-      git status
-
-#. Finally, make your commits into patches.  You want all the
-   commits since you branched from the ``master`` branch::
-
-      git format-patch -M -C master
-
-   You will now have several files named for the commits::
-
-      0001-BF-added-tests-for-Funny-bug.patch
-      0002-BF-added-fix-for-Funny-bug.patch
-
-   Send these files to the `matplotlib mailing list`_.
-
-When you are done, to switch back to the main copy of the
-code, just return to the ``master`` branch::
-
-   git checkout master
-
-.. include:: links.inc
diff --git a/doc/devel/gitwash/set_up_fork.rst b/doc/devel/gitwash/set_up_fork.rst
deleted file mode 100644
index 0ebc5f32ced6..000000000000
--- a/doc/devel/gitwash/set_up_fork.rst
+++ /dev/null
@@ -1,72 +0,0 @@
-.. _set-up-fork:
-
-==================
- Set up your fork
-==================
-
-First you follow the instructions for :ref:`forking`.
-
-Overview
-========
-
-::
-
-   git clone git@github.com:your-user-name/matplotlib.git
-   cd matplotlib
-   git remote add upstream git://github.com/matplotlib/matplotlib.git
-
-In detail
-=========
-
-Clone your fork
----------------
-
-#. Clone your fork to the local computer with ``git clone
-   git@github.com:your-user-name/matplotlib.git``
-#. Investigate.  Change directory to your new repo: ``cd matplotlib``. Then
-   ``git branch -a`` to show you all branches.  You'll get something
-   like::
-
-      * master
-      remotes/origin/master
-
-   This tells you that you are currently on the ``master`` branch, and
-   that you also have a ``remote`` connection to ``origin/master``.
-   What remote repository is ``remote/origin``? Try ``git remote -v`` to
-   see the URLs for the remote.  They will point to your github_ fork.
-
-   Now you want to connect to the upstream `matplotlib github`_ repository, so
-   you can merge in changes from trunk.
-
-.. _linking-to-upstream:
-
-Linking your repository to the upstream repo
---------------------------------------------
-
-::
-
-   cd matplotlib
-   git remote add upstream git://github.com/matplotlib/matplotlib.git
-
-``upstream`` here is just the arbitrary name we're using to refer to the
-main matplotlib_ repository at `matplotlib github`_.
-
-Note that we've used ``git://`` for the URL rather than ``git@``.  The
-``git://`` URL is read only.  This means we that we can't accidentally
-(or deliberately) write to the upstream repo, and we are only going to
-use it to merge into our own code.
-
-Note this command needs to be run on every clone of the repository
-that you make.  It is not tracked in your personal repository on
-github_.
-
-Just for your own satisfaction, show yourself that you now have a new
-'remote', with ``git remote -v show``, giving you something like::
-
-   upstream     git://github.com/matplotlib/matplotlib.git (fetch)
-   upstream     git://github.com/matplotlib/matplotlib.git (push)
-   origin       git@github.com:your-user-name/matplotlib.git (fetch)
-   origin       git@github.com:your-user-name/matplotlib.git (push)
-
-.. include:: links.inc
-
diff --git a/doc/devel/gitwash/this_project.inc b/doc/devel/gitwash/this_project.inc
deleted file mode 100644
index 011e1c3efe04..000000000000
--- a/doc/devel/gitwash/this_project.inc
+++ /dev/null
@@ -1,5 +0,0 @@
-.. matplotlib
-.. _matplotlib: http://matplotlib.org
-.. _`matplotlib github`: http://github.com/matplotlib/matplotlib
-
-.. _`matplotlib mailing list`: https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
diff --git a/doc/devel/index.rst b/doc/devel/index.rst
index 5b3c01eebd5a..7591359ec811 100644
--- a/doc/devel/index.rst
+++ b/doc/devel/index.rst
@@ -1,23 +1,251 @@
 .. _developers-guide-index:
 
-################################
-The Matplotlib Developers' Guide
-################################
+##########
+Contribute
+##########
 
-.. htmlonly::
+.. ifconfig:: releaselevel != 'dev'
 
-   :Release: |version|
-   :Date: |today|
+   .. important::
+
+      If you plan to contribute to Matplotlib, please read the
+      `development version <https://matplotlib.org/devdocs/devel/index.html>`_
+      of this document as it will have the most up to date installation
+      instructions, workflow process, and contributing guidelines.
+
+:octicon:`heart;1em;sd-text-info` Thank you for your interest in helping to improve
+Matplotlib! :octicon:`heart;1em;sd-text-info`
+
+This project is a community effort, and everyone is welcome to contribute. Everyone
+within the community is expected to abide by our :ref:`code of conduct <code_of_conduct>`.
+
+There are various ways to contribute, such as optimizing and refactoring code,
+detailing unclear documentation and writing new examples, helping the community,
+reporting and fixing bugs, requesting and implementing new features...
+
+.. _submitting-a-bug-report:
+.. _request-a-new-feature:
+
+GitHub issue tracker
+====================
+
+The `issue tracker <https://github.com/matplotlib/matplotlib/issues>`_ serves as the
+centralized location for making feature requests, reporting bugs, identifying major
+projects to work on, and discussing priorities.
+
+We have preloaded the issue creation page with markdown forms requesting the information
+we need to triage issues and we welcome you to add any additional information or
+context that may be necessary for resolving the issue:
+
+.. grid:: 1 1 2 2
+
+   .. grid-item-card::
+      :class-header: sd-fs-5
+
+      :octicon:`bug;1em;sd-text-info` **Submit a bug report**
+      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+      Thank you for your help in keeping bug reports targeted and descriptive.
+
+      .. button-link:: https://github.com/matplotlib/matplotlib/issues/new/choose
+            :expand:
+            :color: primary
+
+            Report a bug
+
+   .. grid-item-card::
+      :class-header: sd-fs-5
+
+      :octicon:`light-bulb;1em;sd-text-info` **Request a new feature**
+      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+      Thank you for your help in keeping feature requests well defined and tightly scoped.
+
+      .. button-link:: https://github.com/matplotlib/matplotlib/issues/new/choose
+         :expand:
+         :color: primary
+
+         Request a feature
+
+Since Matplotlib is an open source project with limited resources, we encourage users
+to also :ref:`participate <contribute_code>` in fixing bugs and implementing new
+features.
+
+Contributing guide
+==================
+
+We welcome you to get more involved with the Matplotlib project! If you are new
+to contributing, we recommend that you first read our
+:ref:`contributing guide<contributing>`:
 
 .. toctree::
-   :maxdepth: 2
-
-   coding_guide.rst
-   portable_code.rst
-   license.rst
-   gitwash/index.rst
-   testing.rst
-   documenting_mpl.rst
-   release_guide.rst
-   transformations.rst
-   add_new_projection.rst
+   :hidden:
+
+   contribute
+
+.. grid:: 1 1 2 2
+   :class-row: sd-fs-5 sd-align-minor-center
+
+   .. grid-item::
+
+      .. grid:: 1
+         :gutter: 1
+
+         .. grid-item-card::
+            :link: contribute_code
+            :link-type: ref
+            :class-card: sd-shadow-none
+            :class-body: sd-text-{primary}
+
+            :octicon:`code;1em;sd-text-info` Contribute code
+
+         .. grid-item-card::
+            :link: contribute_documentation
+            :link-type: ref
+            :class-card: sd-shadow-none
+            :class-body: sd-text-{primary}
+
+            :octicon:`note;1em;sd-text-info` Write documentation
+
+         .. grid-item-card::
+            :link: contribute_triage
+            :link-type: ref
+            :class-card: sd-shadow-none
+            :class-body: sd-text-{primary}
+
+            :octicon:`issue-opened;1em;sd-text-info` Triage issues
+
+         .. grid-item-card::
+            :link: other_ways_to_contribute
+            :link-type: ref
+            :class-card: sd-shadow-none
+            :class-body: sd-text-{primary}
+
+            :octicon:`globe;1em;sd-text-info` Build community
+
+   .. grid-item::
+
+      .. grid:: 1
+         :gutter: 1
+
+         .. grid-item::
+
+            :octicon:`info;1em;sd-text-info` :ref:`Is this my first contribution? <new_contributors>`
+
+         .. grid-item::
+
+            :octicon:`question;1em;sd-text-info` :ref:`Where do I ask questions? <get_connected>`
+
+         .. grid-item::
+
+            :octicon:`git-pull-request;1em;sd-text-info` :ref:`How do I choose an issue? <managing_issues_prs>`
+
+         .. grid-item::
+
+            :octicon:`codespaces;1em;sd-text-info` :ref:`How do I start a pull request? <how-to-pull-request>`
+
+
+.. _development_environment:
+
+Development workflow
+====================
+
+If you are contributing code or documentation, please follow our guide for setting up
+and managing a development environment and workflow:
+
+.. grid:: 1 1 2 2
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Install**
+      ^^^
+      .. rst-class:: section-toc
+      .. toctree::
+         :maxdepth: 4
+
+         development_setup
+
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Workflow**
+      ^^^^
+
+      .. toctree::
+         :maxdepth: 2
+
+         development_workflow
+
+      .. toctree::
+         :maxdepth: 1
+
+         troubleshooting.rst
+
+
+.. _contribution_guideline:
+
+Policies and guidelines
+=======================
+
+These policies and guidelines help us maintain consistency in the various types
+of maintenance work. If you are writing code or documentation, following these policies
+helps maintainers more easily review your work. If you are helping triage, community
+manage, or release manage, these guidelines describe how our current process works.
+
+.. grid:: 1 1 2 2
+   :class-row: sf-fs-1
+   :gutter: 2
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Code**
+      ^^^
+
+      .. toctree::
+         :maxdepth: 1
+
+         coding_guide
+         api_changes
+         testing
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Documentation**
+      ^^^
+
+      .. toctree::
+         :maxdepth: 1
+
+         document
+         style_guide
+         tag_guidelines
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Triage And Review**
+      ^^^
+
+      .. toctree::
+         :maxdepth: 1
+
+         triage
+         pr_guide
+
+   .. grid-item-card::
+      :shadow: none
+
+      **Maintenance**
+      ^^^
+
+      .. toctree::
+         :maxdepth: 1
+
+         release_guide
+         communication_guide
+         min_dep_policy
+         MEP/index
diff --git a/doc/devel/license.rst b/doc/devel/license.rst
index 6afe33afc559..7596f2f92348 100644
--- a/doc/devel/license.rst
+++ b/doc/devel/license.rst
@@ -1,12 +1,12 @@
 .. _license-discussion:
 
-Licenses
-========
+Licenses for contributed code
+=============================
 
 Matplotlib only uses BSD compatible code.  If you bring in code from
 another project make sure it has a PSF, BSD, MIT or compatible license
 (see the Open Source Initiative `licenses page
-<http://www.opensource.org/licenses>`_ for details on individual
+<https://opensource.org/licenses>`_ for details on individual
 licenses).  If it doesn't, you may consider contacting the author and
 asking them to relicense it.  GPL and LGPL code are not acceptable in
 the main code base, though we are considering an alternative way of
@@ -14,7 +14,7 @@ distributing L/GPL code through an separate channel, possibly a
 toolkit.  If you include code, make sure you include a copy of that
 code's license in the license directory if the code's license requires
 you to distribute the license with it.  Non-BSD compatible licenses
-are acceptable in matplotlib toolkits (e.g., basemap), but make sure you
+are acceptable in Matplotlib toolkits (e.g., basemap), but make sure you
 clearly state the licenses you are using.
 
 Why BSD compatible?
@@ -50,19 +50,19 @@ Famous projects released under a BSD-style license in the permissive
 sense of the last paragraph are the BSD operating system, python and
 TeX.
 
-There are several reasons why early matplotlib developers selected a
-BSD compatible license. matplotlib is a python extension, and we
+There are several reasons why early Matplotlib developers selected a
+BSD compatible license. Matplotlib is a python extension, and we
 choose a license that was based on the python license (BSD
 compatible).  Also, we wanted to attract as many users and developers
 as possible, and many software companies will not use GPL code in
 software they plan to distribute, even those that are highly committed
 to open source development, such as `enthought
-<http://enthought.com>`_, out of legitimate concern that use of the
+<https://www.enthought.com>`_, out of legitimate concern that use of the
 GPL will "infect" their code base by its viral nature. In effect, they
 want to retain the right to release some proprietary code. Companies
-and institutions who use matplotlib often make significant
+and institutions who use Matplotlib often make significant
 contributions, because they have the resources to get a job done, even
-a boring one. Two of the matplotlib backends (FLTK and WX) were
+a boring one. Two of the Matplotlib backends (FLTK and WX) were
 contributed by private companies.  The final reason behind the
 licensing choice is compatibility with the other python extensions for
 scientific computing: ipython, numpy, scipy, the enthought tool suite
diff --git a/doc/devel/min_dep_policy.rst b/doc/devel/min_dep_policy.rst
new file mode 100644
index 000000000000..81a84491bc4a
--- /dev/null
+++ b/doc/devel/min_dep_policy.rst
@@ -0,0 +1,204 @@
+.. _min_deps_policy:
+
+=========================
+Dependency version policy
+=========================
+
+For the purpose of this document, 'minor version' is in the sense of SemVer
+(major, minor, patch) or 'meso version' in the sense of `EffVer
+<https://jacobtomlinson.dev/effver/>`_ (macro, meso, micro).  It includes both
+major/macro and minor/meso releases.  For projects that use date-based
+versioning, every release is a 'minor version'.
+
+Matplotlib follows `NEP 29
+<https://numpy.org/neps/nep-0029-deprecation_policy.html>`__.
+
+Python and NumPy
+================
+
+Matplotlib supports:
+
+- All minor versions of Python released 42 months prior to the
+  project, and at minimum the two latest minor versions.
+- All minor versions of ``numpy`` released in the 24 months prior
+  to the project, and at minimum the last three minor versions.
+
+In :file:`pyproject.toml`, the ``requires-python`` variable should be set to
+the minimum supported version of Python.  All supported minor
+versions of Python should be in the test matrix and have binary
+artifacts built for the release.
+
+Minimum Python and NumPy version support should be adjusted upward
+on every major and minor release, but never on a patch release.
+
+See also the :ref:`list-of-dependency-min-versions`.
+
+Python dependencies
+===================
+
+For Python dependencies we should support at least:
+
+with compiled extensions
+  minor versions initially released in the 24 months prior to our planned
+  release date or the oldest that support our minimum Python + NumPy
+
+without compiled extensions
+  minor versions initially released in the 12 months prior to our planned
+  release date or the oldest that supports our minimum Python.
+
+We will only bump these dependencies as we need new features or the old
+versions no longer support our minimum NumPy or Python.
+
+We will work around bugs in our dependencies when practical.
+
+IPython and Matplotlib do not formally depend on each other, however there is
+practical coupling for the integration of Matplotlib's UI into IPython and
+IPykernel.  We will ensure this integration works with at least minor or major
+versions of IPython and IPykernel released in the 24 months prior to our
+planned release date.  Matplotlib may or may not work with older versions and
+we will not warn if used with IPython or IPykernel outside of this window.
+
+
+
+Test and documentation dependencies
+===================================
+
+As these packages are only needed for testing or building the docs and
+not needed by end-users, we can be more aggressive about dropping
+support for old versions.  However, we need to be careful to not
+over-run what down-stream packagers support (as most of the run the
+tests and build the documentation as part of the packaging process).
+
+We will support at least minor versions of the development dependencies
+released in the 12 months prior to our planned release.  Specific versions that
+are known to be buggy may be excluded from support using the finest-grained
+filtering that is practical.
+
+We will only bump these as needed or versions no longer support our
+minimum Python and NumPy.
+
+System and C-dependencies
+=========================
+
+For system or C-dependencies (FreeType, GUI frameworks, LaTeX,
+Ghostscript, FFmpeg) support as old as practical.  These can be difficult to
+install for end-users and we want to be usable on as many systems as
+possible.  We will bump these on a case-by-case basis.
+
+In the case of GUI frameworks for which we rely on Python bindings being
+available, we will also drop support for bindings so old that they don't
+support any Python version that we support.
+
+Security issues in dependencies
+===============================
+
+Generally, we do not adjust the supported versions of dependencies based on
+security vulnerabilities.   We are a library not an application
+and the version constraints on our dependencies indicate what will work (not
+what is wise to use).  Users and packagers can install newer versions of the
+dependencies at their discretion and evaluation of risk and impact.  In
+contrast, if we were to adjust our minimum supported version it is very hard
+for a user to override our judgment.
+
+If Matplotlib aids in exploiting the underlying vulnerability we should treat
+that as a critical bug in Matplotlib.
+
+.. _list-of-dependency-min-versions:
+
+List of dependency versions
+===========================
+
+The following list shows the minimal versions of Python and NumPy dependencies
+for different versions of Matplotlib. Follow the links for the full
+specification of the dependencies.
+
+==========  ========  ======
+Matplotlib  Python    NumPy
+==========  ========  ======
+3.11        3.11      1.25.0
+`3.10`_     3.10      1.23.0
+`3.9`_      3.9       1.23.0
+`3.8`_      3.9       1.21.0
+`3.7`_      3.8       1.20.0
+`3.6`_      3.8       1.19.0
+`3.5`_      3.7       1.17.0
+`3.4`_      3.7       1.16.0
+`3.3`_      3.6       1.15.0
+`3.2`_      3.6       1.11.0
+`3.1`_      3.6       1.11.0
+`3.0`_      3.5       1.10.0
+`2.2`_      2.7, 3.4  1.7.1
+`2.1`_      2.7, 3.4  1.7.1
+`2.0`_      2.7, 3.4  1.7.1
+`1.5`_      2.7, 3.4  1.6
+`1.4`_      2.6, 3.3  1.6
+`1.3`_      2.6, 3.3  1.5
+1.2         2.6, 3.1  1.4
+1.1         2.4       1.1
+1.0         2.4       1.1
+==========  ========  ======
+
+.. _`3.10`: https://matplotlib.org/3.10.0/devel/dependencies.html
+.. _`3.9`: https://matplotlib.org/3.9.0/devel/dependencies.html
+.. _`3.8`: https://matplotlib.org/3.8.0/devel/dependencies.html
+.. _`3.7`: https://matplotlib.org/3.7.0/devel/dependencies.html
+.. _`3.6`: https://matplotlib.org/3.6.0/devel/dependencies.html
+.. _`3.5`: https://matplotlib.org/3.5.0/devel/dependencies.html
+.. _`3.4`: https://matplotlib.org/3.4.0/devel/dependencies.html
+.. _`3.3`: https://matplotlib.org/3.3.0/users/installing.html#dependencies
+.. _`3.2`: https://matplotlib.org/3.2.0/users/installing.html#dependencies
+.. _`3.1`: https://matplotlib.org/3.1.0/users/installing.html#dependencies
+.. _`3.0`: https://matplotlib.org/3.0.0/users/installing.html#dependencies
+.. _`2.2`: https://matplotlib.org/2.2.0/users/installing.html#dependencies
+.. _`2.1`: https://matplotlib.org/2.1.0/users/installing.html#dependencies
+.. _`2.0`: https://matplotlib.org/2.0.0/users/installing.html#required-dependencies
+.. _`1.5`: https://matplotlib.org/1.5.0/users/installing.html#required-dependencies
+.. _`1.4`: https://matplotlib.org/1.4.0/users/installing.html#required-dependencies
+.. _`1.3`: https://matplotlib.org/1.3.0/users/installing.html#build-requirements
+
+
+Updating Python and NumPy versions
+==================================
+
+To update the minimum versions of Python we need to update:
+
+- ``pyproject.toml`` (classifiers, requires-python, ``[tool.ruff]`` target-version)
+- ``environment.yml``
+- ``doc/install/dependencies.rst``
+- ``doc/devel/min_dep_policy.rst`` (this file)
+- CI configuration files (circle, GHA, azure)
+- ``tox.ini``
+
+To update the minimum NumPy we need to update:
+
+- ``pyproject.toml``
+- ``environment.yml``
+- ``doc/install/dependencies.rst``
+- ``doc/devel/min_dep_policy.rst`` (this file)
+- ``requirements/testing/minver.txt``
+- ``lib/matplotlib/__init__.py`` (matplotlib._check_versions())
+
+
+The work to leverage new features or remove workarounds for no-longer supported
+versions should be done in a follow-on PRs to keep the version bump PRs well
+scoped.
+
+In both cases add an api_changes/development with the following template:
+
+.. code-block:: rst
+
+   Increase to minimum supported versions of dependencies
+   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+   For Matplotlib 3.ZZ, the :ref:`minimum supported versions <dependencies>` are
+   being bumped:
+
+   +------------+-----------------+----------------+
+   | Dependency |  min in mpl3.N  | min in mpl3.M  |
+   +============+=================+================+
+   |   Python   |       3.XX      |       3.AA     |
+   |   NumPy    |       1.YY      |       1.BB     |
+   +------------+-----------------+----------------+
+
+   This is consistent with our :ref:`min_deps_policy` and `SPEC0
+   <https://scientific-python.org/specs/spec-0000/>`__
diff --git a/doc/devel/portable_code.rst b/doc/devel/portable_code.rst
deleted file mode 100644
index a557905fa6dc..000000000000
--- a/doc/devel/portable_code.rst
+++ /dev/null
@@ -1,120 +0,0 @@
-Writing code for Python 2 and 3
--------------------------------
-
-As of matplotlib 1.4, the `six <http://pythonhosted.org/six/>`_
-library is used to support Python 2 and 3 from a single code base.
-The `2to3` tool is no longer used.
-
-This document describes some of the issues with that approach and some
-recommended solutions.  It is not a complete guide to Python 2 and 3
-compatibility.
-
-Welcome to the ``__future__``
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The top of every `.py` file should include the following::
-
-    from __future__ import (absolute_import, division,
-                            print_function, unicode_literals)
-    import six
-
-This will make the Python 2 interpreter behave as close to Python 3 as
-possible.
-
-All matplotlib files should also import `six`, whether they are using
-it or not, just to make moving code between modules easier, as `six`
-gets used *a lot*.
-
-
-Finding places to use six
-^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The only way to make sure code works on both Python 2 and 3 is to make sure it
-is covered by unit tests.
-
-However, the `2to3` commandline tool can also be used to locate places
-that require special handling with `six`.
-
-(The `modernize <https://pypi.python.org/pypi/modernize>`_ tool may
-also be handy, though I've never used it personally).
-
-The `six <http://pythonhosted.org/six/>`_ documentation serves as a
-good reference for the sorts of things that need to be updated.
-
-The dreaded ``\u`` escapes
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-When `from __future__ import unicode_literals` is used, all string
-literals (not preceded with a `b`) will become unicode literals.
-
-Normally, one would use "raw" string literals to encode strings that
-contain a lot of slashes that we don't want Python to interpret as
-special characters.  A common example in matplotlib is when it deals
-with TeX and has to represent things like ``r"\usepackage{foo}"``.
-Unfortunately, on Python 2there is no way to represent `\u` in a raw
-unicode string literal, since it will always be interpreted as the
-start of a unicode character escape, such as `\u20af`.  The only
-solution is to use a regular (non-raw) string literal and repeat all
-slashes, e.g. ``"\\usepackage{foo}"``.
-
-The following shows the problem on Python 2::
-
-    >>> ur'\u'
-      File "<stdin>", line 1
-    SyntaxError: (unicode error) 'rawunicodeescape' codec can't decode bytes in
-    position 0-1: truncated \uXXXX
-    >>> ur'\\u'
-    u'\\\\u'
-    >>> u'\u'
-      File "<stdin>", line 1
-    SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in
-    position 0-1: truncated \uXXXX escape
-    >>> u'\\u'
-    u'\\u'
-
-This bug has been fixed in Python 3, however, we can't take advantage
-of that and still support Python 2::
-
-    >>> r'\u'
-    '\\u'
-    >>> r'\\u'
-    '\\\\u'
-    >>> '\u'
-      File "<stdin>", line 1
-    SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in
-    position 0-1: truncated \uXXXX escape
-    >>> '\\u'
-    '\\u'
-
-Iteration
-^^^^^^^^^
-
-The behavior of the methods for iterating over the items, values and
-keys of a dictionary has changed in Python 3.  Additionally, other
-built-in functions such as `zip`, `range` and `map` have changed to
-return iterators rather than temporary lists.
-
-In many cases, the performance implications of iterating vs. creating
-a temporary list won't matter, so it's tempting to use the form that
-is simplest to read.  However, that results in code that behaves
-differently on Python 2 and 3, leading to subtle bugs that may not be
-detected by the regression tests.  Therefore, unless the loop in
-question is provably simple and doesn't call into other code, the
-`six` versions that ensure the same behavior on both Python 2 and 3
-should be used.  The following table shows the mapping of equivalent
-semantics between Python 2, 3 and six for `dict.items()`:
-
-============================== ============================== ==============================
-Python 2                       Python 3                       six
-============================== ============================== ==============================
-``d.items()``                  ``list(d.items())``            ``list(six.iteritems(d))``
-``d.iteritems()``              ``d.items()``                  ``six.iteritems(d)``
-============================== ============================== ==============================
-
-Numpy-specific things
-^^^^^^^^^^^^^^^^^^^^^
-
-When specifying dtypes, all strings must be byte strings on Python 2
-and unicode strings on Python 3.  The best way to handle this is to
-force cast them using `str()`.  The same is true of structure
-specifiers in the `struct` built-in module.
diff --git a/doc/devel/pr_guide.rst b/doc/devel/pr_guide.rst
new file mode 100644
index 000000000000..a02b52ad5a38
--- /dev/null
+++ b/doc/devel/pr_guide.rst
@@ -0,0 +1,378 @@
+.. _pr-guidelines:
+
+***********************
+Pull request guidelines
+***********************
+
+`Pull requests (PRs) on GitHub
+<https://docs.github.com/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests>`__
+are the mechanism for contributing to Matplotlib's code and documentation.
+
+We value contributions from people with all levels of experience. In particular,
+if this is your first PR not everything has to be perfect. We'll guide you
+through the PR process. Nevertheless, please try to follow our guidelines as well
+as you can to help make the PR process quick and smooth. If your pull request is
+incomplete or a work-in-progress, please mark it as a `draft pull requests <https://docs.github.com/en/github/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests#draft-pull-requests>`_
+on GitHub and specify what feedback from the developers would be helpful.
+
+Please be patient with reviewers. We try our best to respond quickly, but we have
+limited bandwidth. If there is no feedback within a couple of days, please ping
+us by posting a comment to your PR or reaching out on a :ref:`communication channel <communication-channels>`
+
+
+.. _pr-author-guidelines:
+
+Summary for pull request authors
+================================
+
+We recommend that you check that your contribution complies with the following
+guidelines before submitting a pull request:
+
+.. rst-class:: checklist
+
+* Changes, both new features and bugfixes, should have good test coverage. See
+  :ref:`testing` for more details.
+
+* Update the :ref:`documentation <pr-documentation>` if necessary.
+
+* All public methods should have informative docstrings with sample usage when
+  appropriate. Use the :ref:`docstring standards <writing-docstrings>`.
+
+* For high-level plotting functions, consider adding a small example to the
+  :ref:`examples gallery <gallery>`.
+
+* If you add a new feature or change the API in a backward-incompatible
+  way, please document it as described in :ref:`api_changes`.
+
+* Code should follow our conventions as documented in our :ref:`coding_guidelines`.
+
+* When adding or changing public function signatures, add :ref:`type hints <type-hints>`.
+
+* When adding keyword arguments, see our guide to :ref:`keyword-argument-processing`.
+
+When opening a pull request on Github, please ensure that:
+
+.. rst-class:: checklist
+
+* Changes were made on a :ref:`feature branch <make-feature-branch>`.
+
+* :ref:`pre-commit <pre-commit-hooks>` checks for spelling, formatting, etc pass
+
+* The pull request targets the :ref:`main branch <pr-branch-selection>`
+
+* If your pull request addresses an issue, please use the title to describe the
+  issue (e.g. "Add ability to plot timedeltas") and mention the issue number
+  in the pull request description to ensure that a link is created to the
+  original issue (e.g. "Closes #8869" or "Fixes #8869"). This will ensure the
+  original issue mentioned is automatically closed when your PR is merged. For more
+  details, see `linking an issue and pull request <https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue>`__.
+
+* :ref:`pr-automated-tests` pass
+
+For guidance on creating and managing a pull request, please see our
+:ref:`contributing <contributing>` and :ref:`pull request workflow <edit-flow>`
+guides.
+
+
+Summary for pull request reviewers
+==================================
+
+.. redirect-from:: /devel/maintainer_workflow
+
+**Please help review and merge PRs!**
+
+If you have commit rights, then you are trusted to use them. Please be patient
+and `kind <https://youtu.be/tzFWz5fiVKU?t=49m30s>`__ with contributors.
+
+When reviewing, please ensure that the pull request satisfies the following
+requirements before merging it:
+
+Content
+-------
+
+.. rst-class:: checklist
+
+* Is the feature / bugfix reasonable?
+* Does the PR conform with the :ref:`coding_guidelines`?
+* Is the :ref:`documentation <pr-documentation>` (docstrings, examples,
+  what's new, API changes) updated?
+* Is the change purely stylistic? Generally, such changes are discouraged when
+  not part of other non-stylistic work because it obscures the git history of
+  functional changes to the code. Reflowing a method or docstring as part of a
+  larger refactor/rewrite is acceptable.
+
+Workflow
+--------
+.. rst-class:: checklist
+
+* Make sure all :ref:`automated tests <pr-automated-tests>` pass.
+* The PR should :ref:`target the main branch <pr-branch-selection>`.
+* Tag with descriptive :ref:`labels <pr-labels>`.
+* Set the :ref:`milestone <pr-milestones>`.
+* Keep an eye on the :ref:`number of commits <pr-squashing>`.
+* Approve if all of the above topics are handled.
+* :ref:`Merge  <pr-merging>` if a sufficient number of approvals is reached.
+
+.. _pr-guidelines-details:
+
+Detailed guidelines
+===================
+
+.. _pr-documentation:
+
+Documentation
+-------------
+
+* Every new feature should be documented.  If it's a new module, don't
+  forget to add a new rst file to the API docs.
+
+* Each high-level plotting function should have a small example in
+  the ``Examples`` section of the docstring.  This should be as simple as
+  possible to demonstrate the method.  More complex examples should go into
+  a dedicated example file in the :file:`examples` directory, which will be
+  rendered to the examples gallery in the documentation.
+
+* Build the docs and make sure all formatting warnings are addressed.
+
+* See :ref:`documenting-matplotlib` for our documentation style guide.
+
+.. _pr-labels:
+
+Labels
+------
+
+* If you have the rights to set labels, tag the PR with descriptive labels.
+  See the `list of labels <https://github.com/matplotlib/matplotlib/labels>`__.
+* If the PR makes changes to the wheel building Action, add the
+  "Run cibuildwheel" label to enable testing wheels.
+
+.. _pr-milestones:
+
+Milestones
+----------
+
+Set the milestone according to these guidelines:
+
+* *New features and API changes* are milestoned for the next meso release
+  ``v3.N.0``.
+
+* *Bugfixes, tests for released code, and docstring changes* may be milestoned
+  for the next micro release ``v3.N.M``.
+
+* *Documentation changes* (only .rst files and examples) may be milestoned
+  ``v3.N-doc``.
+
+If multiple rules apply, choose the first matching from the above list.  See
+:ref:`backport-strategy` for detailed guidance on what should or should not be
+backported.
+
+The milestone marks the release a PR should go into.  It states intent, but can
+be changed because of release planning or re-evaluation of the PR scope and
+maturity.
+
+All Pull Requests should target the main branch. The milestone tag triggers
+an :ref:`automatic backport <automated-backports>` for milestones which have
+a corresponding branch.
+
+.. _pr-merging:
+
+Merging
+-------
+As a guiding principle, we require two `approvals`_ from core developers (those
+with commit rights) before merging a pull request. This two-pairs-of-eyes
+strategy shall ensure a consistent project direction and prevent accidental
+mistakes. It is permissible to merge with one approval if the change is not
+fundamental and can easily be reverted at any time in the future.
+
+.. _approvals: https://docs.github.com/en/github/collaborating-with-pull-requests/reviewing-changes-in-pull-requests
+
+Some explicit rules following from this:
+
+* *Documentation and examples* may be merged with a single approval.  Use
+  the threshold "is this better than it was?" as the review criteria.
+
+* Minor *infrastructure updates*, e.g. temporary pinning of broken dependencies
+  or small changes to the CI configuration, may be merged with a single
+  approval.
+
+* *Code changes* (anything in ``src`` or ``lib``) must have two approvals.
+
+  Ensure that all API changes are documented in a file in one of the
+  subdirectories of :file:`doc/api/next_api_changes`, and significant new
+  features have an entry in :file:`doc/user/whats_new`.
+
+  - If a PR already has a positive review, a core developer (e.g. the first
+    reviewer, but not necessarily) may champion that PR for merging.  In order
+    to do so, they should ping all core devs both on GitHub and on the dev
+    mailing list, and label the PR with the "Merge with single review?" label.
+    Other core devs can then either review the PR and merge or reject it, or
+    simply request that it gets a second review before being merged.  If no one
+    asks for such a second review within a week, the PR can then be merged on
+    the basis of that single review.
+
+    A core dev should only champion one PR at a time and we should try to keep
+    the flow of championed PRs reasonable.
+
+After giving the last required approval, the author of the approval should
+merge the PR. PR authors should not self-merge except for when another reviewer
+explicitly allows it (e.g., "Approve modulo CI passing, may self merge when
+green", or "Take or leave the comments. You may self merge".).
+
+.. _pr-automated-tests:
+
+Automated tests
+---------------
+Before being merged, a PR should pass the :ref:`automated-tests`. If you are
+unsure why a test is failing, ask on the PR or in our :ref:`communication-channels`
+
+.. _pr-squashing:
+
+Number of commits and squashing
+-------------------------------
+
+* Squashing is case-by-case.  The balance is between burden on the
+  contributor, keeping a relatively clean history, and keeping a
+  history usable for bisecting.  The only time we are really strict
+  about it is to eliminate binary files (ex multiple test image
+  re-generations) and to remove upstream merges.
+
+* Do not let perfect be the enemy of the good, particularly for
+  documentation or example PRs.  If you find yourself making many
+  small suggestions, either open a PR against the original branch,
+  push changes to the contributor branch, or merge the PR and then
+  open a new PR against upstream.
+
+* If you push to a contributor branch leave a comment explaining what
+  you did, ex "I took the liberty of pushing a small clean-up PR to
+  your branch, thanks for your work.".  If you are going to make
+  substantial changes to the code or intent of the PR please check
+  with the contributor first.
+
+
+.. _branches_and_backports:
+
+Branches and backports
+======================
+
+Current branches
+----------------
+The current active branches are
+
+*main*
+  The current development version. Future meso (*v3.N.0*) or macro (*v4.0.0*) will be
+  branched from this.
+
+*v3.N.x*
+  Maintenance branch for Matplotlib 3.N. Future micro releases will be
+  tagged from this.
+
+*v3.N.M-doc*
+  Documentation for the current micro release.  On a micro release, this will be
+  replaced by a properly named branch for the new release.
+
+
+.. _pr-branch-selection:
+
+Branch selection for pull requests
+----------------------------------
+
+Generally, all pull requests should target the main branch.
+
+Other branches are fed through :ref:`automatic <automated-backports>` or
+:ref:`manual <manual-backports>`. Directly
+targeting other branches is only rarely necessary for special maintenance
+work.
+
+.. _backport-strategy:
+
+Backport strategy
+-----------------
+
+Backports to the micro release branch (*v3.N.x*) are the changes that will be
+included in the next patch (aka bug-fix) release.  The goal of the patch
+releases is to fix bugs without adding any new regressions or behavior changes.
+We will always attempt to backport:
+
+- critical bug fixes (segfault, failure to import, things that the
+  user cannot work around)
+- fixes for regressions introduced in the last two meso releases
+
+and may attempt to backport fixes for regressions introduced in older releases.
+
+In the case where the backport is not clean, for example if the bug fix is
+built on top of other code changes we do not want to backport, balance the
+effort and risk of re-implementing the bug fix vs the severity of the bug.
+When in doubt, err on the side of not backporting.
+
+When backporting a Pull Request fails or is declined, re-milestone the original
+PR to the next meso release and leave a comment explaining why.
+
+The only changes backported to the documentation branch (*v3.N.M-doc*)
+are changes to :file:`doc` or :file:`galleries`.  Any changes to :file:`lib`
+or :file:`src`, including docstring-only changes, must not be backported to
+this branch.
+
+
+.. _automated-backports:
+
+Automated backports
+-------------------
+
+We use MeeseeksDev bot to automatically backport merges to the correct
+maintenance branch base on the milestone.  To work properly the
+milestone must be set before merging.  If you have commit rights, the
+bot can also be manually triggered after a merge by leaving a message
+``@meeseeksdev backport to BRANCH`` on the PR.  If there are conflicts
+MeeseeksDev will inform you that the backport needs to be done
+manually.
+
+The target branch is configured by putting ``on-merge: backport to
+TARGETBRANCH`` in the milestone description on it's own line.
+
+If the bot is not working as expected, please report issues to
+`MeeseeksDev <https://github.com/MeeseeksBox/MeeseeksDev>`__.
+
+
+.. _manual-backports:
+
+Manual backports
+----------------
+
+When doing backports please copy the form used by MeeseeksDev,
+``Backport PR #XXXX: TITLE OF PR``.  If you need to manually resolve
+conflicts make note of them and how you resolved them in the commit
+message.
+
+We do a backport from main to v2.2.x assuming:
+
+* ``matplotlib`` is a read-only remote branch of the matplotlib/matplotlib repo
+
+The ``TARGET_SHA`` is the hash of the merge commit you would like to
+backport.  This can be read off of the GitHub PR page (in the UI with
+the merge notification) or through the git CLI tools.
+
+Assuming that you already have a local branch ``v2.2.x`` (if not, then
+``git checkout -b v2.2.x``), and that your remote pointing to
+``https://github.com/matplotlib/matplotlib`` is called ``upstream``:
+
+.. code-block:: bash
+
+   git fetch upstream
+   git checkout v2.2.x  # or include -b if you don't already have this.
+   git reset --hard upstream/v2.2.x
+   git cherry-pick -m 1 TARGET_SHA
+   # resolve conflicts and commit if required
+
+Files with conflicts can be listed by ``git status``,
+and will have to be fixed by hand (search on ``>>>>>``).  Once
+the conflict is resolved, you will have to re-add the file(s) to the branch
+and then continue the cherry pick:
+
+.. code-block:: bash
+
+   git add lib/matplotlib/conflicted_file.py
+   git add lib/matplotlib/conflicted_file2.py
+   git cherry-pick --continue
+
+Use your discretion to push directly to upstream or to open a PR; be
+sure to push or PR against the ``v2.2.x`` upstream branch, not ``main``!
diff --git a/doc/devel/release_guide.rst b/doc/devel/release_guide.rst
index 458b33ab8a6b..6c45bfa56c64 100644
--- a/doc/devel/release_guide.rst
+++ b/doc/devel/release_guide.rst
@@ -1,240 +1,530 @@
+.. highlight:: bash
+
 .. _release-guide:
 
-**************************
-Doing a matplotlib release
-**************************
+=============
+Release guide
+=============
+
+
+.. admonition::  This document is only relevant for Matplotlib release managers.
+
+   A guide for developers who are doing a Matplotlib release.
+
+
+
+Versioning Scheme
+=================
+
+Matplotlib follows the `Intended Effort Versioning (EffVer) <https://jacobtomlinson.dev/effver/>`_
+versioning scheme: *macro.meso.micro*.
+
+
+*macro*
+  A release that we expect a large effort from our users to upgrade to.  The v1 to v2 transition
+  included a complete overhaul of the default styles and the v2 to v3 transition involved
+  dropping support for Python 2.
+
+  Future macro versions would include changes of a comparable scale that can not be done
+  incrementally in meso releases.
+
+*meso*
+  A release that we expect some effort from our users to upgrade to.  We target a
+  *Meso* release every 6 months.  These release are primarily intended to release
+  new features to our users, however they also contain intentional feature deprecations and
+  removals per :ref:`our policy <deprecation-guidelines>`.
+
+*micro*
+  A release that we expect users to require little to no effort to upgrade to.  Per
+  our :ref:`backport-strategy` we only backport bug fixes to the maintenance branch.
+  We expect minimal impact on users other than possibly breaking work arounds to a
+  fixed bug or `bugs being used as features <https://xkcd.com/1172/>`_.
+
+  These are released as-needed, but typically every 1-2 months between meso releases.
+
+
+.. _release_feature_freeze:
+
+Making the release branch
+=========================
+
+.. note::
+
+   This assumes that a read-only remote for the canonical repository is
+   ``remote`` and a read/write remote is ``DANGER``
+
+
+When a new meso release (vX.Y.0) is approaching, a new release branch must be made.
+When precisely this should happen is up to the release manager, but this point is where
+most new features intended for the meso release are merged and you are entering a
+feature freeze (i.e. newly implemented features will be going into vX.Y+1).
+This does not necessarily mean that no further changes will be made prior to release,
+just that those changes will be made using the backport system.
+
+For an upcoming ``v3.7.0`` release, first create the branch::
+
+   git switch main
+   git pull
+   git switch -c v3.7.x
+   git push DANGER v3.7.x
 
-A guide for developers who are doing a matplotlib release.
+Update the ``v3.7.0`` milestone so that the description reads::
 
-* Edit :file:`__init__.py` and bump the version number
+   New features and API changes
+
+   on-merge: backport to v3.7.x
+
+Micro versions should instead read::
+
+   Bugfixes and docstring changes
+
+   on-merge: backport to v3.7.x
+
+Check all active milestones for consistency. Older milestones should also backport
+to higher meso versions (e.g. ``v3.6.3`` and ``v3.6-doc`` should backport to both
+``v3.6.x`` and ``v3.7.x`` once the ``v3.7.x`` branch exists and while PR backports are
+still targeting ``v3.6.x``)
+
+Create the milestone for the next-next meso release (i.e. ``v3.9.0``, as ``v3.8.0``
+should already exist). While most active items should go in the next meso release,
+this milestone can help with longer term planning, especially around deprecation
+cycles.
 
 .. _release-testing:
 
 Testing
 =======
 
-* Run all of the regression tests by running the `tests.py` script at
-  the root of the source tree.
+We use `GitHub Actions <https://github.com/matplotlib/matplotlib/actions>`__
+for continuous integration.  When preparing for a release, the final tagged
+commit should be tested locally before it is uploaded::
 
-* Run :file:`unit/memleak_hawaii3.py` and make sure there are no
-  memory leaks
+   pytest -n 8 .
 
-* try some GUI examples, e.g., :file:`simple_plot.py` with GTKAgg, TkAgg, etc...
 
-* remove font cache and tex cache from :file:`.matplotlib` and test
-  with and without cache on some example script
+In addition the following test should be run and manually inspected::
 
-* Optionally, make sure :file:`examples/tests/backend_driver.py` runs
-  without errors and check the output of the PNG, PDF, PS and SVG
-  backends
+   python tools/memleak.py agg 1000 agg.pdf
 
-.. _release-branching:
+Run the User Acceptance Tests for the NBAgg and ipympl backends::
 
-Branching
-=========
+   jupyter notebook lib/matplotlib/backends/web_backend/nbagg_uat.ipynb
 
-Once all the tests are passing and you are ready to do a release, you
-need to create a release branch.  These only need to be created when
-the second part of the version number changes::
+For ipympl, restart the kernel, add a cell for ``%matplotlib widget`` and do
+not run the cell with ``matplotlib.use('nbagg')``. Tests which check
+``connection_info``, use ``reshow``, or test the OO interface are not expected
+to work for ``ipympl``.
 
-   git checkout -b v1.1.x
-   git push git@github.com:matplotlib/matplotlib.git v1.1.x
+.. _release_ghstats:
 
-On the branch, do any additional testing you want to do, and then build
-binaries and source distributions for testing as release candidates.
+GitHub statistics
+=================
 
-For each release candidate as well as for the final release version,
-please `git tag` the commit you will use for packaging like so::
+We automatically extract GitHub issue, PRs, and authors from GitHub via the API. To
+prepare this list:
 
-    git tag -a v1.1.0rc1
+1. Archive the existing GitHub statistics page.
 
-The `-a` flag will allow you to write a message about the tag, and
-affiliate your name with it. A reasonable tag message would be something
-like ``v1.1.0 Release Candidate 1 (September 24, 2011)``. To tag a
-release after the fact, just track down the commit hash, and::
+   a. Copy the current :file:`doc/users/github_stats.rst` to
+      :file:`doc/users/prev_whats_new/github_stats_{X}.{Y}.{Z}.rst`.
+   b. Change the link target at the top of the file.
+   c. Remove the "Previous GitHub Stats" section at the end.
 
-    git tag -a v1.0.1rc1 a9f3f3a50745
+   For example, when updating from v3.7.0 to v3.7.1::
 
-Tags allow developers to quickly checkout different releases by name,
-and also provides source download via zip and tarball on github.
+      cp doc/users/github_stats.rst doc/users/prev_whats_new/github_stats_3.7.0.rst
+      $EDITOR doc/users/prev_whats_new/github_stats_3.7.0.rst
+      # Change contents as noted above.
+      git add doc/users/prev_whats_new/github_stats_3.7.0.rst
 
-Then push the tags to the main repository::
+2. Re-generate the updated stats::
 
-    git push upstream v1.0.1rc1
+       python tools/github_stats.py --since-tag v3.7.0 --milestone=v3.7.1 \
+           --project 'matplotlib/matplotlib' --links > doc/users/github_stats.rst
 
-.. _release-packaging:
+3. Review and commit changes. Some issue/PR titles may not be valid reST (the most
+   common issue is ``*`` which is interpreted as unclosed markup). Also confirm that
+   ``codespell`` does not find any issues.
 
-Packaging
-=========
+.. note::
 
-* Make sure the :file:`MANIFEST.in` is up to date and remove
-  :file:`MANIFEST` so it will be rebuilt by MANIFEST.in
+   Make sure you authenticate against the GitHub API. If you do not, you will get
+   blocked by GitHub for going over the API rate limits. You can authenticate in one of
+   two ways:
 
-* run `git clean` in the mpl git directory before building the sdist
+   * using the ``keyring`` package; ``pip install keyring`` and then when
+     running the stats script, you will be prompted for user name and password,
+     that will be stored in your system keyring, or,
+   * using a personal access token; generate a new token `on this GitHub page
+     <https://github.com/settings/tokens>`__ with the ``repo:public_repo``
+     scope and place the token in :file:`~/.ghoauth`.
 
-* unpack the sdist and make sure you can build from that directory
 
-* Use :file:`setup.cfg` to set the default backends.  For windows and
-  OSX, the default backend should be TkAgg.  You should also turn on
-  or off any platform specific build options you need.  Importantly,
-  you also need to make sure that you delete the :file:`build` dir
-  after any changes to :file:`setup.cfg` before rebuilding since cruft
-  in the :file:`build` dir can get carried along.
+.. _release_chkdocs:
 
-* On windows, unix2dos the rc file.
+Update and validate the docs
+============================
 
-* We have a Makefile for the OS X builds in the mpl source dir
-  :file:`release/osx`, so use this to prepare the OS X releases.
+Merge ``*-doc`` branch
+----------------------
 
-* We have a Makefile for the win32 mingw builds in the mpl source dir
-  :file:`release/win32` which you can use this to prepare the windows
-  releases.
+Merge the most recent 'doc' branch (e.g., ``v3.7.0-doc``) into the branch you
+are going to tag on and delete the doc branch on GitHub.
 
-Posting files
-=============
+Update supported versions in Security Policy
+--------------------------------------------
+
+When making macro or meso releases, update the supported versions in the Security
+Policy in :file:`SECURITY.md`.
+
+For meso version release update the table in :file:`SECURITY.md` to specify that the
+two most recent meso releases in the current macro version series are supported.
+
+For a macro version release update the table in :file:`SECURITY.md` to specify that the
+last meso version in the previous macro version series is still supported. Dropping
+support for the last version of a macro version series will be handled on an ad-hoc
+basis.
+
+Update release notes
+--------------------
+
+What's new
+^^^^^^^^^^
+
+*Only needed for macro and meso releases. Bugfix releases should not have new
+features.*
+
+Merge the contents of all the files in :file:`doc/users/next_whats_new/` into a single
+file :file:`doc/users/prev_whats_new/whats_new_{X}.{Y}.0.rst` and delete the individual
+files.
+
+API changes
+^^^^^^^^^^^
+
+*Primarily needed for macro and meso releases. We may sometimes have API
+changes in micro releases.*
+
+Merge the contents of all the files in :file:`doc/api/next_api_changes/` into a single
+file :file:`doc/api/prev_api_changes/api_changes_{X}.{Y}.{Z}.rst` and delete the
+individual files.
+
+Release notes TOC
+^^^^^^^^^^^^^^^^^
+
+Update :file:`doc/users/release_notes.rst`:
+
+- For macro and meso releases add a new section
+
+  .. code:: rst
+
+     X.Y
+     ===
+     .. toctree::
+         :maxdepth: 1
+
+         prev_whats_new/whats_new_X.Y.0.rst
+         ../api/prev_api_changes/api_changes_X.Y.0.rst
+         prev_whats_new/github_stats_X.Y.0.rst
+- For micro releases add the GitHub stats and (if present) the API changes to
+  the existing X.Y section
+
+  .. code:: rst
+
+     ../api/prev_api_changes/api_changes_X.Y.Z.rst
+     prev_whats_new/github_stats_X.Y.Z.rst
 
-Our current method is for the release manager to collect all of the
-binaries from the platform builders and post the files online on
-Sourceforge.  It is also possible that those building the binaries
-could upload to directly to Sourceforge.  We also post a source
-tarball to PyPI, since ``pip`` no longer trusts files downloaded from
-other sites.
+.. _update-version-switcher:
 
-There are many ways to upload files to Sourceforge (`scp`, `rsync`,
-`sftp`, and a web interface) described in `Sourceforge Release File
-System documentation
-<https://sourceforge.net/apps/trac/sourceforge/wiki/Release%20files%20for%20download>`_.
-Below, we will use `sftp`.
+Update version switcher
+-----------------------
 
-1. Create a directory containing all of the release files and `cd` to it.
+The version switcher is populated from https://matplotlib.org/devdocs/_static/switcher.json.
 
-2. `sftp` to Sourceforge::
+Since it's always taken from devdocs, update the file :file:`doc/_static/switcher.json`
+on the main branch through a regular PR:
 
-     sftp USERNAME@frs.sourceforge.net:/home/frs/project/matplotlib/matplotlib
+- If a micro release, update the version from :samp:`{X}.{Y}.{Z-1}` to :samp:`{X}.{Y}.{Z}`
+- If a meso release :samp:`{X}.{Y}.0`:
 
-3. Make a new directory for the release and move to it::
+    + update the dev entry to :samp:`name: {X}.{Y+1} (dev)`
+    + update the stable entry to :samp:`name: {X}.{Y} (stable)`
+    + add a new entry for the previous stable (:samp:`name: {X}.{Y-1}`).
 
-     mkdir matplotlib-1.1.0rc1
-     cd matplotlib-1.1.0rc1
+Once that PR is merged, the devdocs site will be updated automatically.
 
-4. Upload all of the files in the current directory on your local machine::
+Verify that docs build
+----------------------
 
-     put *
+Finally, make sure that the docs build cleanly::
 
-If this release is a final release, the default download for the
-matplotlib project should also be updated.  Login to Sourceforge and
-visit the `matplotlib files page
-<https://sourceforge.net/projects/matplotlib/files/matplotlib/>`_.
-Navigate to the tarball of the release you just updated, click on
-"Details" icon (it looks like a lower case ``i``), and make it the
-default download for all platforms.
+  make -Cdoc O=-j$(nproc) html latexpdf
 
-There is a list of direct links to downloads on matplotlib's main
-website.  This needs to be manually generated and updated every time
-new files are posted.
+After the docs are built, check that all of the links, internal and external, are still
+valid. We use ``linkchecker`` for this::
 
-1. Clone the matplotlib documentation repository and `cd` into it::
+  pip install linkchecker
+  pushd doc/build/html
+  linkchecker index.html --check-extern
+  popd
 
-     git clone git@github.com:matplotlib/matplotlib.github.com.git
-     cd matplotlib.github.com
+Address any issues which may arise. The internal links are checked on Circle CI, so this
+should only flag failed external links.
 
-2. Update the list of downloads that you want to display by editing
-   the `downloads.txt` file.  Generally, this should contain the last two
-   final releases and any active release candidates.
 
-3. Update the downloads webpage by running the `update_downloads.py`
-   script.  This script requires `paramiko` (for `sftp` support) and
-   `jinja2` for templating.  Both of these dependencies can be
-   installed using pip::
+.. _release_tag:
 
-     pip install paramiko
-     pip install jinja2
+Create release commit and tag
+=============================
 
-   Then update the download page::
+To create the tag, first create an empty commit with a very terse set of the release
+notes in the commit message::
 
-     ./update_downloads.py
+  git commit --allow-empty
 
-   You will be prompted for your Sourceforge username and password.
+and then create a signed, annotated tag with the same text in the body message::
 
-4. Commit the changes and push them up to github::
+  git tag -a -s v3.7.0
 
-     git commit -m "Updating download list"
-     git push
+which will prompt you for your GPG key password and an annotation.  For pre-releases it
+is important to follow :pep:`440` so that the build artifacts will sort correctly in
+PyPI.
 
-Update PyPI
-===========
+To prevent issues with any down-stream builders which download the tarball from GitHub
+it is important to move all branches away from the commit with the tag [#]_::
 
-Once the tarball has been posted on Sourceforge, you can register a
-link to the new release on PyPI.  This should only be done with final
-(non-release-candidate) releases, since doing so will hide any
-available stable releases.
+  git commit --allow-empty
 
-You may need to set up your `.pypirc` file as described in the
-`distutils register command documentation
-<http://docs.python.org/2/distutils/packageindex.html>`_.
+Finally, push the tag to GitHub::
 
-Then updating the record on PyPI is as simple as::
+  git push DANGER v3.7.x v3.7.0
 
-    python setup.py register
+Congratulations, the scariest part is done!
+This assumes the release branch has already been made.
+Usually this is done at the time of feature freeze for a meso release (which often
+coincides with the last micro release of the previous meso version)
 
-This will hide any previous releases automatically.
+.. [#] The tarball that is provided by GitHub is produced using `git archive`_.
+       We use setuptools_scm_ which uses a format string in
+       :file:`lib/matplotlib/_version.py` to have ``git`` insert a
+       list of references to exported commit (see
+       :file:`.gitattributes` for the configuration).  This string is
+       then used by ``setuptools_scm`` to produce the correct version,
+       based on the git tag, when users install from the tarball.
+       However, if there is a branch pointed at the tagged commit,
+       then the branch name will also be included in the tarball.
+       When the branch eventually moves, anyone who checked the hash
+       of the tarball before the branch moved will have an incorrect
+       hash.
 
-Then, to upload the source tarball::
+       To generate the file that GitHub does use::
 
-    rm -rf dist
-    python setup.py sdist upload
+          git archive v3.7.0 -o matplotlib-3.7.0.tar.gz --prefix=matplotlib-3.7.0/
 
-Documentation updates
-=====================
+.. _git archive: https://git-scm.com/docs/git-archive
+.. _setuptools_scm: https://github.com/pypa/setuptools_scm
+
+If this is a final release, also create a 'doc' branch (this is not
+done for pre-releases)::
+
+   git branch v3.7.0-doc
+   git push DANGER v3.7.0-doc
+
+Update (or create) the ``v3.7-doc`` milestone.
+The description should include the instruction for meeseeksmachine to backport changes
+with the ``v3.7-doc`` milestone to both the ``v3.7.x`` branch and the ``v3.7.0-doc`` branch::
+
+   Documentation changes (.rst files and examples)
+
+   on-merge: backport to v3.7.x
+   on-merge: backport to v3.7.0-doc
+
+Check all active milestones for consistency. Older doc milestones should also backport to
+higher meso versions (e.g. ``v3.6-doc`` should backport to both ``v3.6.x`` and ``v3.7.x``
+if the ``v3.7.x`` branch exists)
+
+
+.. _release_DOI:
+
+Release management / DOI
+========================
+
+Via the `GitHub UI <https://github.com/matplotlib/matplotlib/releases>`__, turn the
+newly pushed tag into a release. If this is a pre-release remember to mark it as such.
+
+For final releases, also get the DOI from `Zenodo <https://zenodo.org/>`__ (which will
+automatically produce one once the tag is pushed). Add the DOI post-fix and version to
+the dictionary in :file:`tools/cache_zenodo_svg.py` and run the script.
+
+This will download the new SVG to :file:`doc/_static/zenodo_cache/{postfix}.svg` and
+edit :file:`doc/project/citing.rst`. Commit the new SVG, the change to
+:file:`tools/cache_zenodo_svg.py`, and the changes to :file:`doc/project/citing.rst`
+to the VER-doc branch and push to GitHub. ::
+
+  git checkout v3.7.0-doc
+  $EDITOR tools/cache_zenodo_svg.py
+  python tools/cache_zenodo_svg.py
+  git commit -a
+  git push DANGER v3.7.0-doc:v3.7.0-doc
+
+
+.. _release_bld_bin:
+
+Building binaries
+=================
+
+We distribute macOS, Windows, and many Linux wheels as well as a source tarball via
+PyPI. Most builders should trigger automatically once the tag is pushed to GitHub:
+
+* Windows, macOS and manylinux wheels are built on GitHub Actions. Builds are triggered
+  by the GitHub Action defined in :file:`.github/workflows/cibuildwheel.yml`, and wheels
+  will be available as artifacts of the build. Both a source tarball and the wheels will
+  be automatically uploaded to PyPI once all of them have been built.
+* The auto-tick bot should open a pull request into the `conda-forge feedstock
+  <https://github.com/conda-forge/matplotlib-feedstock>`__. Review and merge (if you
+  have the power to).
+
+.. warning::
+
+   Because this is automated, it is extremely important to bump all branches away from
+   the tag as discussed in :ref:`release_tag`.
+
+
+.. _release_upload_bin:
+
+Manually uploading to PyPI
+==========================
+
+.. note::
+
+    As noted above, the GitHub Actions workflow should build and upload source tarballs
+    and wheels automatically. If for some reason, you need to upload these artifacts
+    manually, then follow the instructions in this section.
+
+Once you have collected all of the wheels (expect this to take a few hours), generate
+the tarball::
+
+  git checkout v3.7.0
+  git clean -xfd
+  python -m build --sdist
+
+and copy all of the wheels into :file:`dist` directory. First, check that the dist files
+are OK::
+
+  twine check dist/*
+
+and then use ``twine`` to upload all of the files to PyPI ::
+
+   twine upload -s dist/matplotlib*tar.gz
+   twine upload dist/*whl
+
+Congratulations, you have now done the second scariest part!
+
+
+.. _release_docs:
+
+Build and deploy documentation
+==============================
+
+To build the documentation you must have the tagged version installed, but
+build the docs from the ``ver-doc`` branch.  An easy way to arrange this is::
+
+  pip install matplotlib
+  pip install -r requirements/doc/doc-requirements.txt
+  git checkout v3.7.0-doc
+  git clean -xfd
+  make -Cdoc O="-t release -j$(nproc)" html latexpdf LATEXMKOPTS="-silent -f"
+
+which will build both the HTML and PDF version of the documentation.
 
 The built documentation exists in the `matplotlib.github.com
-<https://github.com/matplotlib/matplotlib.github.com/>`_ repository.
-Pushing changes to master automatically updates the website.
+<https://github.com/matplotlib/matplotlib.github.com/>`__ repository.
+Pushing changes to main automatically updates the website.
+
+The documentation is organized in subdirectories by version. The latest stable release
+is symlinked from the :file:`stable` directory. The documentation for current main is
+built on Circle CI and pushed to the `devdocs
+<https://github.com/matplotlib/devdocs/>`__ repository. These are available at
+`matplotlib.org/devdocs <https://matplotlib.org/devdocs/>`__.
+
+Assuming you have this repository checked out in the same directory as
+matplotlib ::
+
+  cd ../matplotlib.github.com
+  cp -a ../matplotlib/doc/build/html 3.7.0
+  rm 3.7.0/.buildinfo
+  cp ../matplotlib/doc/build/latex/Matplotlib.pdf 3.7.0
+
+which will copy the built docs over.  If this is a final release, link the
+``stable`` subdirectory to the newest version::
+
+  rm stable
+  ln -s 3.7.0 stable
+
+You will also need to edit :file:`sitemap.xml` to include
+the newly released version.  Now commit and push everything to GitHub ::
+
+  git add *
+  git commit -a -m 'Updating docs for v3.7.0'
+  git push DANGER main
+
+Congratulations you have now done the third scariest part!
+
+If you have access, clear the CloudFlare caches.
+
+It typically takes about 5-10 minutes for the website to process the push and update the
+live web page (remember to clear your browser cache).
+
+Remember to :ref:`update the version switcher <update-version-switcher>`!
+
+.. _release_merge_up:
 
-The documentation is organized by version.  At the root of the tree is
-always the documentation for the latest stable release.  Under that,
-there are directories containing the documentation for older versions
-as well as the bleeding edge release version called `dev` (usually
-based on what's on master in the github repository, but it may also
-temporarily be a staging area for proposed changes).  There is also a
-symlink directory with the name of the most recently released version
-that points to the root.  With each new release, these directories may
-need to be reorganized accordingly.  Any time these version
-directories are added or removed, the `versions.html` file (which
-contains a list of the available documentation versions for the user)
-must also be updated.
+Merge up changes to main
+========================
 
-To make sure everyone's hard work gets credited, regenerate the github
-stats.  `cd` into the tools directory and run::
+After a release is done, the changes from the release branch should be merged into the
+``main`` branch. This is primarily done so that the released tag is on the main branch
+so ``git describe`` (and thus ``setuptools-scm``) has the most current tag.
+Secondarily, changes made during release (including removing individualized release
+notes, fixing broken links, and updating the version switcher) are bubbled up to
+``main``.
 
-  python github_stats.py $TAG > ../doc/users/github_stats.rst
+Git conflicts are very likely to arise, though aside from changes made directly to the
+release branch (mostly as part of the release), they should be relatively-easily resolved
+by using the version from ``main``. This is not a universal rule, and care should be
+taken to ensure correctness::
 
-where `$TAG` is the tag of the last major release.  This will generate
-stats for all work done since that release.
+   git switch main
+   git pull
+   git switch -c merge_up_v3.7.0
+   git merge v3.7.x
+   # resolve conflicts
+   git merge --continue
 
-In the matplotlib source repository, build the documentation::
+Due to branch protections for the ``main`` branch, this is merged via a standard pull
+request, though the PR cleanliness status check is expected to fail. The PR should not
+be squashed because the intent is to merge the branch histories.
 
-  cd doc
-  python make.py html
-  python make.py latex
+Publicize this release
+======================
 
-Then copy the build products into your local checkout of the
-`matplotlib.github.com` repository (assuming here to be checked out in
-`~/matplotlib.github.com`::
+After the release is published to PyPI and conda, it should be announced
+through our communication channels:
 
-  cp -r build/html/* ~/matplotlib.github.com
-  cp build/latex/Matplotlib.pdf ~/matplotlib.github.com
+.. rst-class:: checklist
 
-Then, from the `matplotlib.github.com` directory, commit and push the
-changes upstream::
+* Send a short version of the release notes and acknowledgments to all the :ref:`mailing-lists`
+* Post highlights and link to :ref:`What's new <release-notes>` on the
+  active :ref:`social media accounts <social-media>`
+* Add a release announcement to the  "News" section of
+  `matplotlib.org <https://github.com/matplotlib/mpl-brochure-site>`_ by editing
+  ``docs/body.html``. Link to the auto-generated announcement discourse post,
+  which is in `Announcements > matplotlib-announcements <https://discourse.matplotlib.org/c/announce/matplotlib-announce/10>`_.
 
-  git commit -m "Updating for v1.0.1"
-  git push upstream master
+Conda packages
+==============
 
-Announcing
-==========
+The Matplotlib project itself does not release conda packages. In particular,
+the Matplotlib release manager is not responsible for conda packaging.
 
-Announce the release on matplotlib-announce, matplotlib-users, and
-matplotlib-devel.  Final (non-release-candidate) versions should also
-be announced on python-announce.  Include a summary of highlights from
-the CHANGELOG and/or post the whole CHANGELOG since the last release.
+For information on the packaging of Matplotlib for conda-forge see
+https://github.com/conda-forge/matplotlib-feedstock.
diff --git a/doc/devel/style_guide.rst b/doc/devel/style_guide.rst
new file mode 100644
index 000000000000..e35112a65e42
--- /dev/null
+++ b/doc/devel/style_guide.rst
@@ -0,0 +1,416 @@
+
+=========================
+Documentation style guide
+=========================
+
+This guide contains best practices for the language and formatting of Matplotlib
+documentation.
+
+.. seealso::
+
+    For more information about contributing, see the :ref:`documenting-matplotlib`
+    section.
+
+Expository language
+===================
+
+For explanatory writing, the following guidelines are for clear and concise
+language use.
+
+Terminology
+-----------
+
+There are several key terms in Matplotlib that are standards for
+reliability and consistency in documentation. They are not interchangeable.
+
+.. table::
+  :widths: 15, 15, 35, 35
+
+  +------------------+--------------------------+--------------+--------------+
+  | Term             | Description              | Correct      | Incorrect    |
+  +==================+==========================+==============+==============+
+  | |Figure|         | Matplotlib working space | - *For       | - "The figure|
+  |                  | for programming.         |   Matplotlib |   is the     |
+  |                  |                          |   objects*:  |   working    |
+  |                  |                          |   Figure,    |   space for  |
+  |                  |                          |   "The Figure|   visuals."  |
+  |                  |                          |   is the     | - "Methods in|
+  |                  |                          |   working    |   the figure |
+  |                  |                          |   space for  |   provide the|
+  |                  |                          |   the visual.|   visuals."  |
+  |                  |                          | - *Referring | - "The       |
+  |                  |                          |   to class*: |   |Figure|   |
+  |                  |                          |   |Figure|,  |   Four       |
+  |                  |                          |   "Methods   |   leglock is |
+  |                  |                          |   within the |   a wrestling|
+  |                  |                          |   |Figure|   |   move."     |
+  |                  |                          |   provide the|              |
+  |                  |                          |   visuals."  |              |
+  |                  |                          | - *General   |              |
+  |                  |                          |   language*: |              |
+  |                  |                          |   figure,    |              |
+  |                  |                          |   "Michelle  |              |
+  |                  |                          |   Kwan is a  |              |
+  |                  |                          |   famous     |              |
+  |                  |                          |   figure     |              |
+  |                  |                          |   skater."   |              |
+  +------------------+--------------------------+--------------+--------------+
+  | |Axes|           | Subplots within Figure.  | - *For       | - "The axes  |
+  |                  | Contains plot elements   |   Matplotlib |   methods    |
+  |                  | and is responsible for   |   objects*:  |   transform  |
+  |                  | plotting and configuring |   Axes, "An  |   the data." |
+  |                  | additional details.      |   Axes is a  | - "Each      |
+  |                  |                          |   subplot    |   |Axes| is  |
+  |                  |                          |   within the |   specific to|
+  |                  |                          |   Figure."   |   a Figure." |
+  |                  |                          | - *Referring | - "The       |
+  |                  |                          |   to class*: |   musicians  |
+  |                  |                          |   |Axes|,    |   on stage   |
+  |                  |                          |   "Each      |   call their |
+  |                  |                          |   |Axes| is  |   guitars    |
+  |                  |                          |   specific to|   Axes."     |
+  |                  |                          |   one        | - "The point |
+  |                  |                          |   Figure."   |   where the  |
+  |                  |                          | - *General   |   Axes meet  |
+  |                  |                          |   language*: |   is the     |
+  |                  |                          |   axes, "Both|   origin of  |
+  |                  |                          |   loggers and|   the        |
+  |                  |                          |   lumberjacks|   coordinate |
+  |                  |                          |   use axes to|   system."   |
+  |                  |                          |   chop wood."|              |
+  |                  |                          |   OR "There  |              |
+  |                  |                          |   are no     |              |
+  |                  |                          |   standard   |              |
+  |                  |                          |   names for  |              |
+  |                  |                          |   the        |              |
+  |                  |                          |   coordinates|              |
+  |                  |                          |   in the     |              |
+  |                  |                          |   three      |              |
+  |                  |                          |   axes."     |              |
+  |                  |                          |   (Plural of |              |
+  |                  |                          |   axis)      |              |
+  +------------------+--------------------------+--------------+--------------+
+  | |Artist|         | Broad variety of         | - *For       | - "Configure |
+  |                  | Matplotlib objects that  |   Matplotlib |   the legend |
+  |                  | display visuals.         |   objects*:  |   artist with|
+  |                  |                          |   Artist,    |   its        |
+  |                  |                          |   "Artists   |   respective |
+  |                  |                          |   display    |   method."   |
+  |                  |                          |   visuals and| - "There is  |
+  |                  |                          |   are the    |   an         |
+  |                  |                          |   visible    |   |Artist|   |
+  |                  |                          |   elements   |   for that   |
+  |                  |                          |   when       |   visual in  |
+  |                  |                          |   rendering a|   the graph."|
+  |                  |                          |   Figure."   | - "Some      |
+  |                  |                          | - *Referring |   Artists    |
+  |                  |                          |   to class*: |   became     |
+  |                  |                          |   |Artist| , |   famous only|
+  |                  |                          |   "Each      |   by         |
+  |                  |                          |   |Artist|   |   accident." |
+  |                  |                          |   has        |              |
+  |                  |                          |   respective |              |
+  |                  |                          |   methods and|              |
+  |                  |                          |   functions."|              |
+  |                  |                          | - *General   |              |
+  |                  |                          |   language*: |              |
+  |                  |                          |   artist,    |              |
+  |                  |                          |   "The       |              |
+  |                  |                          |   artist in  |              |
+  |                  |                          |   the museum |              |
+  |                  |                          |   is from    |              |
+  |                  |                          |   France."   |              |
+  +------------------+--------------------------+--------------+--------------+
+  | |Axis|           | Human-readable single    | - *For       | - "Plot the  |
+  |                  | dimensional object       |   Matplotlib |   graph onto |
+  |                  | of reference marks       |   objects*:  |   the axis." |
+  |                  | containing ticks, tick   |   Axis, "The | - "Each Axis |
+  |                  | labels, spines, and      |   Axis for   |   is usually |
+  |                  | edges.                   |   the bar    |   named after|
+  |                  |                          |   chart is a |   the        |
+  |                  |                          |   separate   |   coordinate |
+  |                  |                          |   Artist."   |   which is   |
+  |                  |                          |   (plural,   |   measured   |
+  |                  |                          |   Axis       |   along it." |
+  |                  |                          |   objects)   | - "In some   |
+  |                  |                          | - *Referring |   computer   |
+  |                  |                          |   to class*: |   graphics   |
+  |                  |                          |   |Axis|,    |   contexts,  |
+  |                  |                          |   "The       |   the        |
+  |                  |                          |   |Axis|     |   ordinate   |
+  |                  |                          |   contains   |   |Axis| may |
+  |                  |                          |   respective |   be oriented|
+  |                  |                          |   XAxis and  |   downwards."|
+  |                  |                          |   YAxis      |              |
+  |                  |                          |   objects."  |              |
+  |                  |                          | - *General   |              |
+  |                  |                          |   language*: |              |
+  |                  |                          |   axis,      |              |
+  |                  |                          |   "Rotation  |              |
+  |                  |                          |   around a   |              |
+  |                  |                          |   fixed axis |              |
+  |                  |                          |   is a       |              |
+  |                  |                          |   special    |              |
+  |                  |                          |   case of    |              |
+  |                  |                          |   rotational |              |
+  |                  |                          |   motion."   |              |
+  +------------------+--------------------------+--------------+--------------+
+  | Axes interface   | Usage pattern in which   | - Axes       | - explicit   |
+  |                  | one calls methods on     |   interface  |   interface  |
+  |                  | Axes and Figure (and     | - call       | - object     |
+  |                  | sometimes other Artist)  |   methods on |   oriented   |
+  |                  | objects to configure the |   the Axes / | - OO-style   |
+  |                  | plot.                    |   Figure     | - OOP        |
+  |                  |                          |   object     |              |
+  +------------------+--------------------------+--------------+--------------+
+  | pyplot interface | Usage pattern in which   | - ``pyplot`` | - implicit   |
+  |                  | one only calls `.pyplot` |   interface  |   interface  |
+  |                  | functions to configure   | - call       | - MATLAB like|
+  |                  | the plot.                |   ``pyplot`` | - Pyplot     |
+  |                  |                          |   functions  |              |
+  +------------------+--------------------------+--------------+--------------+
+
+.. |Figure| replace:: :class:`~matplotlib.figure.Figure`
+.. |Axes| replace:: :class:`~matplotlib.axes.Axes`
+.. |Artist| replace:: :class:`~matplotlib.artist.Artist`
+.. |Axis| replace:: :class:`~matplotlib.axis.Axis`
+
+
+Grammar
+-------
+
+Subject
+^^^^^^^
+Use second-person imperative sentences for directed instructions specifying an
+action. Second-person pronouns are for individual-specific contexts and
+possessive reference.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | Install Matplotlib from the source | You can install Matplotlib from the|
+   | directory using the Python ``pip`` | source directory. You can find     |
+   | installer program. Depending on    | additional support if you are      |
+   | your operating system, you may need| having trouble with your           |
+   | additional support.                | installation.                      |
+   +------------------------------------+------------------------------------+
+
+Tense
+^^^^^
+Use present simple tense for explanations. Avoid future tense and other modal
+or auxiliary verbs when possible.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | The fundamental ideas behind       | Matplotlib will take data and      |
+   | Matplotlib for visualization       | transform it through functions and |
+   | involve taking data and            | methods. They can generate many    |
+   | transforming it through functions  | kinds of visuals. These will be the|
+   | and methods.                       | fundamentals for using Matplotlib. |
+   +------------------------------------+------------------------------------+
+
+Voice
+^^^^^
+Write in active sentences. Passive voice is best for situations or conditions
+related to warning prompts.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | The function ``plot`` generates the| The graph is generated by the      |
+   | graph.                             | ``plot`` function.                 |
+   +------------------------------------+------------------------------------+
+   | An error message is returned by the| You will see an error message from |
+   | function if there are no arguments.| the function if there are no       |
+   |                                    | arguments.                         |
+   +------------------------------------+------------------------------------+
+
+Sentence structure
+^^^^^^^^^^^^^^^^^^
+Write with short sentences using Subject-Verb-Object order regularly. Limit
+coordinating conjunctions in sentences. Avoid pronoun references and
+subordinating conjunctive phrases.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | The ``pyplot`` module in Matplotlib| The ``pyplot`` module in Matplotlib|
+   | is a collection of functions. These| is a collection of functions which |
+   | functions create, manage, and      | create, manage, and manipulate the |
+   | manipulate the current Figure and  | current Figure and plotting area.  |
+   | plotting area.                     |                                    |
+   +------------------------------------+------------------------------------+
+   | The ``plot`` function plots data   | The ``plot`` function plots data   |
+   | to the respective Axes. The Axes   | within its respective Axes for its |
+   | corresponds to the respective      | respective Figure.                 |
+   | Figure.                            |                                    |
+   +------------------------------------+------------------------------------+
+   | The implicit approach is a         | Users that wish to have convenient |
+   | convenient shortcut for            | shortcuts for generating plots use |
+   | generating simple plots.           | the implicit approach.             |
+   +------------------------------------+------------------------------------+
+
+
+Formatting
+==========
+
+The following guidelines specify how to incorporate code and use appropriate
+formatting for Matplotlib documentation.
+
+Code
+----
+
+Matplotlib is a Python library and follows the same standards for
+documentation.
+
+Comments
+^^^^^^^^
+Examples of Python code have comments before or on the same line.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +---------------------------------------+---------------------------------+
+   | Correct                               | Incorrect                       |
+   +=======================================+=================================+
+   | ::                                    | ::                              |
+   |                                       |                                 |
+   |    # Data                             |    years = [2006, 2007, 2008]   |
+   |    years = [2006, 2007, 2008]         |    # Data                       |
+   +---------------------------------------+                                 |
+   | ::                                    |                                 |
+   |                                       |                                 |
+   |    years = [2006, 2007, 2008]  # Data |                                 |
+   +---------------------------------------+---------------------------------+
+
+Outputs
+^^^^^^^
+When generating visuals with Matplotlib using ``.py`` files in examples,
+display the visual with `matplotlib.pyplot.show` to display the visual.
+Keep the documentation clear of Python output lines.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | ::                                 | ::                                 |
+   |                                    |                                    |
+   |    plt.plot([1, 2, 3], [1, 2, 3])  |    plt.plot([1, 2, 3], [1, 2, 3])  |
+   |    plt.show()                      |                                    |
+   +------------------------------------+------------------------------------+
+   | ::                                 | ::                                 |
+   |                                    |                                    |
+   |    fig, ax = plt.subplots()        |    fig, ax = plt.subplots()        |
+   |    ax.plot([1, 2, 3], [1, 2, 3])   |    ax.plot([1, 2, 3], [1, 2, 3])   |
+   |    fig.show()                      |                                    |
+   +------------------------------------+------------------------------------+
+
+reStructuredText
+----------------
+
+Matplotlib uses reStructuredText Markup for documentation. Sphinx helps to
+transform these documents into appropriate formats for accessibility and
+visibility.
+
+- `reStructuredText Specifications <https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html>`_
+- `Quick Reference Document <https://docutils.sourceforge.io/docs/user/rst/quickref.html>`_
+
+
+Lists
+^^^^^
+Bulleted lists are for items that do not require sequencing. Numbered lists are
+exclusively for performing actions in a determined order.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +------------------------------------+------------------------------------+
+   | Correct                            | Incorrect                          |
+   +====================================+====================================+
+   | The example uses three graphs.     | The example uses three graphs.     |
+   +------------------------------------+------------------------------------+
+   | - Bar                              | 1. Bar                             |
+   | - Line                             | 2. Line                            |
+   | - Pie                              | 3. Pie                             |
+   +------------------------------------+------------------------------------+
+   | These four steps help to get       | The following steps are important  |
+   | started using Matplotlib.          | to get started using Matplotlib.   |
+   +------------------------------------+------------------------------------+
+   |  1. Import the Matplotlib library. |  - Import the Matplotlib library.  |
+   |  2. Import the necessary modules.  |  - Import the necessary modules.   |
+   |  3. Set and assign data to work on.|  - Set and assign data to work on. |
+   |  4. Transform data with methods and|  - Transform data with methods and |
+   |     functions.                     |    functions.                      |
+   +------------------------------------+------------------------------------+
+
+Tables
+^^^^^^
+Use ASCII tables with reStructuredText standards in organizing content.
+Markdown tables and the csv-table directive are not accepted.
+
+.. table::
+   :width: 100%
+   :widths: 50, 50
+
+   +--------------------------------+----------------------------------------+
+   | Correct                        | Incorrect                              |
+   +================================+========================================+
+   | +----------+----------+        | ::                                     |
+   | | Correct  | Incorrect|        |                                        |
+   | +==========+==========+        |     | Correct | Incorrect |            |
+   | | OK       | Not OK   |        |     | ------- | --------- |            |
+   | +----------+----------+        |     | OK      | Not OK    |            |
+   |                                |                                        |
+   +--------------------------------+----------------------------------------+
+   | ::                             | ::                                     |
+   |                                |                                        |
+   |     +----------+----------+    |     .. csv-table::                     |
+   |     | Correct  | Incorrect|    |        :header: "correct", "incorrect" |
+   |     +==========+==========+    |        :widths: 10, 10                 |
+   |     | OK       | Not OK   |    |                                        |
+   |     +----------+----------+    |        "OK   ", "Not OK"               |
+   |                                |                                        |
+   +--------------------------------+                                        |
+   | ::                             |                                        |
+   |                                |                                        |
+   |     ===========  ===========   |                                        |
+   |       Correct     Incorrect    |                                        |
+   |     ===========  ===========   |                                        |
+   |     OK           Not OK        |                                        |
+   |     ===========  ===========   |                                        |
+   |                                |                                        |
+   +--------------------------------+----------------------------------------+
+
+
+Additional resources
+====================
+This style guide is not a comprehensive standard. For a more thorough
+reference of how to contribute to documentation, see the links below. These
+resources contain common best practices for writing documentation.
+
+* `Python Developer's Guide <https://devguide.python.org/documenting/#documenting-python>`_
+* `Google Developer Style Guide <https://developers.google.com/style>`_
+* `IBM Style Guide <https://www.oreilly.com/library/view/the-ibm-style/9780132118989/>`_
+* `Red Hat Style Guide <https://stylepedia.net/style/#grammar>`_
diff --git a/doc/devel/tag_glossary.rst b/doc/devel/tag_glossary.rst
new file mode 100644
index 000000000000..b3d0ec2bcbda
--- /dev/null
+++ b/doc/devel/tag_glossary.rst
@@ -0,0 +1,189 @@
+Tag Glossary
+============
+
+.. contents::
+    :depth: 1
+    :local:
+    :backlinks: entry
+
+
+API tags: what content from the API reference is in the example?
+----------------------------------------------------------------
+
++-----------------------------------+---------------------------------------------+
+|``tag``                            | use case                                    |
++===================================+=============================================+
+|**Primary or relevant plot component**                                           |
++-----------------------------------+---------------------------------------------+
+|``component: axes``                |remarkable or very clear use of component    |
++-----------------------------------+---------------------------------------------+
+|``component: axis``                |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: marker``              |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: label``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: title``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: legend``              |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: subplot``             |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: figure``              |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: annotation``          |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: label``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: ticks``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: spines``              |frequently paired with ``component: axis``   |
++-----------------------------------+---------------------------------------------+
+|``component: error``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``component: animation``           |                                             |
++-----------------------------------+---------------------------------------------+
+|                                   |                                             |
++-----------------------------------+---------------------------------------------+
+|**Styling**                                                                      |
++-----------------------------------+---------------------------------------------+
+|Use these tags when plot contains a teachable example                            |
++-----------------------------------+---------------------------------------------+
+|``styling: color``                 |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: shape``                 |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: size``                  |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: position``              |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: texture``               |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: colormap``              |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: linestyle``             |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: small-multiples``       |                                             |
++-----------------------------------+---------------------------------------------+
+|``styling: conditional``           |styling is determined programmatically by a  |
+|                                   |condition being met                          |
++-----------------------------------+---------------------------------------------+
+|                                   |                                             |
++-----------------------------------+---------------------------------------------+
+|**Interactivity**                                                                |
++-----------------------------------+---------------------------------------------+
+|``interactivity: event handling``  |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: click``           |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: mouseover``       |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: zoom``            |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: pan``             |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: brush``           |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: drag``            |                                             |
++-----------------------------------+---------------------------------------------+
+|``interactivity: scroll``          |                                             |
++-----------------------------------+---------------------------------------------+
+|                                   |                                             |
++-----------------------------------+---------------------------------------------+
+|**Plot Type**                                                                    |
++-----------------------------------+---------------------------------------------+
+|``plot-type: bar``                 |example contains a bar plot                  |
++-----------------------------------+---------------------------------------------+
+|``plot-type: line``                |example contains a line plot                 |
++-----------------------------------+---------------------------------------------+
+|``plot-type: pie``                 |example contains a pie plot                  |
++-----------------------------------+---------------------------------------------+
+|``plot-type: polar``               |example contains a polar plot                |
++-----------------------------------+---------------------------------------------+
+|``plot-type: 3D``                  |example contains a 3D plot                   |
++-----------------------------------+---------------------------------------------+
+|``plot-type: histogram``           |example contains a histogram                 |
++-----------------------------------+---------------------------------------------+
+|``plot-type: specialty``           |                                             |
++-----------------------------------+---------------------------------------------+
+|``plot-type: scatter``             |                                             |
++-----------------------------------+---------------------------------------------+
+
+
+Structural tags: what format is the example? What context can we provide?
+-------------------------------------------------------------------------
+
++----------------------------+-------------------------------------------------------------------+
+|``tag``                     | use case                                                          |
++============================+===================================================================+
+|``level``                   |level refers to how much context/background the user will need     |
++----------------------------+-------------------------------------------------------------------+
+|``level: beginner``         |concepts are standalone, self-contained, require only one module   |
++----------------------------+-------------------------------------------------------------------+
+|``level: intermediate``     |concepts may require knowledge of other modules, have dependencies |
++----------------------------+-------------------------------------------------------------------+
+|``level: advanced``         |concepts require multiple modules and have dependencies            |
++----------------------------+-------------------------------------------------------------------+
+|``purpose``                 |what's it here for?                                                |
++----------------------------+-------------------------------------------------------------------+
+|``purpose: storytelling``   |storytelling exemplar -- build a visual argument                   |
++----------------------------+-------------------------------------------------------------------+
+|``purpose: reference``      |reference docs like "marker reference" or "list of named colors"   |
+|                            | - dense collection of short-format information                    |
+|                            | - well-defined scope, accessible information                      |
++----------------------------+-------------------------------------------------------------------+
+|``purpose: fun``            |just for fun!                                                      |
++----------------------------+-------------------------------------------------------------------+
+|``purpose: showcase``       |good showcase example                                              |
++----------------------------+-------------------------------------------------------------------+
+
+Domain tags: what discipline(s) might seek this example consistently?
+---------------------------------------------------------------------
+
+It's futile to draw fences around "who owns what", and that's not the point of domain
+tags. See below for a list of existing domain tags. If you don't see the one you're
+looking for and you think it should exist, consider proposing it.
+
++-------------------------------+----------------------------------------+
+|``tag``                        | use case                               |
++===============================+========================================+
+|``domain``                     |for whom is the example relevant?       |
++-------------------------------+----------------------------------------+
+|``domain: cartography``        |                                        |
++-------------------------------+----------------------------------------+
+|``domain: geometry``           |                                        |
++-------------------------------+----------------------------------------+
+|``domain: statistics``         |                                        |
++-------------------------------+----------------------------------------+
+|``domain: oceanography``       |                                        |
++-------------------------------+----------------------------------------+
+|``domain: signal-processing``  |                                        |
++-------------------------------+----------------------------------------+
+
+Internal tags: what information is helpful for maintainers or contributors?
+---------------------------------------------------------------------------
+
+These tags should be used only for development purposes; therefore please add them
+separately behind a version guard:
+
+.. code:: rst
+
+    .. ifconfig:: releaselevel == 'dev'
+        .. tags::  internal: needs-review
+
++-------------------------------+-----------------------------------------------------------------------+
+|``tag``                        | use case                                                              |
++===============================+=======================================================================+
+|``internal: high-bandwidth``   |allows users to filter out bandwidth-intensive examples like animations|
++-------------------------------+-----------------------------------------------------------------------+
+|``internal: untagged``         |allows docs contributors to easily find untagged examples              |
++-------------------------------+-----------------------------------------------------------------------+
+|``internal: deprecated``       |examples containing deprecated functionality or concepts               |
++-------------------------------+-----------------------------------------------------------------------+
+|``internal: needs-review``     |example needs to be reviewed for accuracy or pedagogical value         |
++-------------------------------+-----------------------------------------------------------------------+
+|``internal: outstanding-todo`` |example has an unfinished to-do                                        |
++-------------------------------+-----------------------------------------------------------------------+
+|``internal: too-much``         |the example should be refined, split into multiple examples, or        |
+|                               |reformatted into a tutorial or reference                               |
++-------------------------------+-----------------------------------------------------------------------+
diff --git a/doc/devel/tag_guidelines.rst b/doc/devel/tag_guidelines.rst
new file mode 100644
index 000000000000..2c80065982bc
--- /dev/null
+++ b/doc/devel/tag_guidelines.rst
@@ -0,0 +1,70 @@
+Tagging guidelines
+==================
+
+Why do we need tags?
+--------------------
+
+Tags serve multiple purposes.
+
+Tags have a one-to-many organization (i.e. one example can have several tags), while
+the gallery structure requires that examples are placed in only one location. This means
+tags provide a secondary layer of organization and make the gallery of examples more
+flexible and more user-friendly.
+
+They allow for better discoverability, search, and browse functionality. They are
+helpful for users struggling to write a search query for what they're looking for.
+
+Hidden tags provide additional functionality for maintainers and contributors.
+
+How to tag?
+-----------
+Place the tag directive at the bottom of each page and add the tags underneath, e.g.:
+
+.. code-block:: rst
+
+    .. tags::
+       topic: tagging, purpose: reference
+
+What gets a tag?
+----------------
+
+Every gallery example should be tagged with:
+
+* 1+ content tags
+* structural, domain, or internal tag(s) if helpful
+
+Tags can repeat existing forms of organization (e.g. an example is in the Animation
+folder and also gets an ``animation`` tag).
+
+Tags are helpful to denote particularly good "byproduct" examples. E.g. the explicit
+purpose of a gallery example might be to demonstrate a colormap, but it's also a good
+demonstration of a legend. Tag ``legend`` to indicate that, rather than changing the
+title or the scope of the example.
+
+.. card::
+
+    **Tag Categories**
+    ^^^
+    .. rst-class:: section-toc
+
+    .. toctree::
+        :maxdepth: 2
+
+        tag_glossary
+
+    +++
+    See :doc:`Tag Glossary <tag_glossary>` for a complete list
+
+Proposing new tags
+------------------
+
+1. Review existing tag list, looking out for similar entries (i.e. ``axes`` and ``axis``).
+2. If a relevant tag or subcategory does not yet exist, propose it. Each tag is two
+   parts: ``subcategory: tag``. Tags should be one or two words.
+3. New tags should be be added when they are relevant to existing gallery entries too.
+   Avoid tags that will link to only a single gallery entry.
+4. Tags can recreate other forms of organization.
+
+Tagging organization aims to work for 80-90% of cases. Some examples fall outside of the
+tagging structure. Niche or specific examples shouldn't be given standalone tags that
+won't apply to other examples.
diff --git a/doc/devel/testing.rst b/doc/devel/testing.rst
index f29d7be30175..1fef85260b12 100644
--- a/doc/devel/testing.rst
+++ b/doc/devel/testing.rst
@@ -1,176 +1,220 @@
 .. _testing:
 
+=======
 Testing
 =======
 
-Matplotlib has a testing infrastructure based on nose_, making it easy
-to write new tests. The tests are in :mod:`matplotlib.tests`, and
-customizations to the nose testing infrastructure are in
-:mod:`matplotlib.testing`. (There is other old testing cruft around,
-please ignore it while we consolidate our testing to these locations.)
+Matplotlib uses the pytest_ framework.
+
+The tests are in :file:`lib/matplotlib/tests`, and customizations to the pytest
+testing infrastructure are in :mod:`matplotlib.testing`.
+
+.. _pytest: http://doc.pytest.org/en/latest/
+.. _pytest-xdist: https://pypi.org/project/pytest-xdist/
 
-.. _nose: http://somethingaboutorange.com/mrl/projects/nose/
+
+.. _testing_requirements:
 
 Requirements
 ------------
 
-The following software is required to run the tests:
+To run the tests you will need to
+:ref:`set up Matplotlib for development <installing_for_devs>`. Note in
+particular the :ref:`additional dependencies <test-dependencies>` for testing.
+
+.. note::
 
-  - nose_, version 1.0 or later
+   We will assume that you want to run the tests in a development setup.
 
-  - `Ghostscript <http://pages.cs.wisc.edu/~ghost/>`_ (to render PDF
-    files)
+   While you can run the tests against a regular installed version of
+   Matplotlib, this is a far less common use case. You still need the
+   :ref:`additional dependencies <test-dependencies>` for testing.
+   You have to additionally get the reference images from the repository,
+   because they are not distributed with pre-built Matplotlib packages.
 
-  - `Inkscape <http://inkscape.org>`_ (to render SVG files)
+.. _run_tests:
 
 Running the tests
 -----------------
 
-Running the tests is simple. Make sure you have nose installed and run
-the script :file:`tests.py` in the root directory of the distribution.
-The script can take any of the usual `nosetest arguments`_, such as
+In the root directory of your development repository run::
+
+   pytest
+
+
+``pytest`` can be configured via many :external+pytest:doc:`command-line parameters
+<how-to/usage>`. Some particularly useful ones are:
+
+=============================  ===========
+``-v`` or ``--verbose``        Be more verbose
+``-n NUM``                     Run tests in parallel over NUM
+                               processes (requires pytest-xdist_)
+``--capture=no`` or ``-s``     Do not capture stdout
+=============================  ===========
+
+To run a single test from the command line, you can provide a file path, optionally
+followed by the function separated by two colons, e.g., (tests do not need to be
+installed, but Matplotlib should be)::
 
-===================  ===========
-``-v``               increase verbosity
-``-d``               detailed error messages
-``--with-coverage``  enable collecting coverage information
-===================  ===========
+  pytest lib/matplotlib/tests/test_simplification.py::test_clipping
 
-To run a single test from the command line, you can provide a
-dot-separated path to the module followed by the function separated by
-a colon, e.g., (this is assuming the test is installed)::
+If you want to use ``pytest`` as a module (via ``python -m pytest``), then you will need
+to avoid clashes between ``pytest``'s import mode and Python's search path:
 
-  python tests.py matplotlib.tests.test_simplification:test_clipping
+- On more recent Python, you may :external+python:std:option:`disable "unsafe import
+  paths" <-P>` (i.e., stop adding the current directory to the import path) with the
+  ``-P`` argument::
 
-If you want to run the full test suite, but want to save wall time try running the
-tests in parallel::
+      python -P -m pytest
 
-  python ../matplotlib/tests.py -sv --processes=5 --process-timeout=300
+- On older Python, you may enable :external+python:std:option:`isolated mode <-I>`
+  (which stops adding the current directory to the import path, but has other
+  repercussions)::
 
-as we do on Travis.ci.
+      python -I -m pytest
 
+- On any Python, set ``pytest``'s :external+pytest:doc:`import mode
+  <explanation/pythonpath>` to the older ``prepend`` mode (but note that this will break
+  ``pytest``'s assert rewriting)::
 
-An alternative implementation that does not look at command line
-arguments works from within Python::
+      python -m pytest --import-mode prepend
 
-  import matplotlib
-  matplotlib.test()
+Viewing image test output
+^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. _`nosetest arguments`: http://somethingaboutorange.com/mrl/projects/nose/1.0.0/usage.html
+The output of :ref:`image-based <image-comparison>` tests is stored in a
+``result_images`` directory. These images can be compiled into one HTML page, containing
+hundreds of images, using the ``visualize_tests`` tool::
 
+    python tools/visualize_tests.py
+
+Image test failures can also be analysed using the ``triage_tests`` tool::
+
+    python tools/triage_tests.py
+
+The triage tool allows you to accept or reject test failures and will copy the new image
+to the folder where the baseline test images are stored. The triage tool requires that
+:ref:`QT <backend_dependencies>` is installed.
 
-Running tests by any means other than `matplotlib.test()`
-does not load the nose "knownfailureif" (Known failing tests) plugin,
-causing known-failing tests to fail for real.
 
 Writing a simple test
 ---------------------
 
 Many elements of Matplotlib can be tested using standard tests. For
-example, here is a test from :mod:`matplotlib.tests.test_basic`::
-
-  from nose.tools import assert_equal
+example, here is a test from :file:`matplotlib/tests/test_basic.py`::
 
   def test_simple():
       """
       very simple example test
       """
-      assert_equal(1+1,2)
+      assert 1 + 1 == 2
 
-Nose determines which functions are tests by searching for functions
-beginning with "test" in their name.
+Pytest determines which functions are tests by searching for files whose names
+begin with ``"test_"`` and then within those files for functions beginning with
+``"test"`` or classes beginning with ``"Test"``.
 
-If the test has side effects that need to be cleaned up, such as
-creating figures using the pyplot interface, use the ``@cleanup``
-decorator::
+Some tests have internal side effects that need to be cleaned up after their
+execution (such as created figures or modified `.rcParams`). The pytest fixture
+``matplotlib.testing.conftest.mpl_test_settings`` will automatically clean
+these up; there is no need to do anything further.
 
-  from matplotlib.testing.decorators import cleanup
+Random data in tests
+--------------------
 
-  @cleanup
-  def test_create_figure():
-      """
-      very simple example test that creates a figure using pyplot.
-      """
-      fig = figure()
-      ...
+Random data is a very convenient way to generate data for examples,
+however the randomness is problematic for testing (as the tests
+must be deterministic!).  To work around this set the seed in each test.
+For numpy's default random number generator use::
+
+  import numpy as np
+  rng = np.random.default_rng(19680801)
+
+and then use ``rng`` when generating the random numbers.
+
+The seed is :ref:`John Hunter's <project_history>` birthday.
 
+.. _image-comparison:
 
 Writing an image comparison test
 --------------------------------
 
-Writing an image based test is only slightly more difficult than a
-simple test. The main consideration is that you must specify the
-"baseline", or expected, images in the
-:func:`~matplotlib.testing.decorators.image_comparison` decorator. For
-example, this test generates a single image and automatically tests
-it::
-
-  import numpy as np
-  import matplotlib
-  from matplotlib.testing.decorators import image_comparison
-  import matplotlib.pyplot as plt
-
-  @image_comparison(baseline_images=['spines_axes_positions'])
-  def test_spines_axes_positions():
-      # SF bug 2852168
-      fig = plt.figure()
-      x = np.linspace(0,2*np.pi,100)
-      y = 2*np.sin(x)
-      ax = fig.add_subplot(1,1,1)
-      ax.set_title('centered spines')
-      ax.plot(x,y)
-      ax.spines['right'].set_position(('axes',0.1))
-      ax.yaxis.set_ticks_position('right')
-      ax.spines['top'].set_position(('axes',0.25))
-      ax.xaxis.set_ticks_position('top')
-      ax.spines['left'].set_color('none')
-      ax.spines['bottom'].set_color('none')
-
-The first time this test is run, there will be no baseline image to
-compare against, so the test will fail.  Copy the output images (in
-this case `result_images/test_category/spines_axes_positions.*`) to
-the correct subdirectory of `baseline_images` tree in the source
-directory (in this case
-`lib/matplotlib/tests/baseline_images/test_category`).  Note carefully
-the `.*` at the end: this will copy only the images we need to include
-in the `git` repository.  The files ending in `_pdf.png` and
-`_svg.png` are converted from the `pdf` and `svg` originals on the fly
-and do not need to be in the respository.  Put these new files under
-source code revision control (with `git add`).  When rerunning the
-tests, they should now pass.
-
-There are two optional keyword arguments to the `image_comparison`
-decorator:
-
-   - `extensions`: If you only wish to test some of the image formats
-     (rather than the default `png`, `svg` and `pdf` formats), pass a
-     list of the extensions to test.
-
-   - `tol`: This is the image matching tolerance, the default `1e-3`.
-     If some variation is expected in the image between runs, this
-     value may be adjusted.
-
-Known failing tests
--------------------
-
-If you're writing a test, you may mark it as a known failing test with
-the :func:`~matplotlib.testing.decorators.knownfailureif`
-decorator. This allows the test to be added to the test suite and run
-on the buildbots without causing undue alarm. For example, although
-the following test will fail, it is an expected failure::
-
-  from nose.tools import assert_equal
-  from matplotlib.testing.decorators import knownfailureif
-
-  @knownfailureif(True)
-  def test_simple_fail():
-      '''very simple example test that should fail'''
-      assert_equal(1+1,3)
-
-Note that the first argument to the
-:func:`~matplotlib.testing.decorators.knownfailureif` decorator is a
-fail condition, which can be a value such as True, False, or
-'indeterminate', or may be a dynamically evaluated expression.
+Writing an image-based test is only slightly more difficult than a simple
+test. The main consideration is that you must specify the "baseline", or
+expected, images in the `~matplotlib.testing.decorators.image_comparison`
+decorator. For example, this test generates a single image and automatically
+tests it::
+
+   from matplotlib.testing.decorators import image_comparison
+   import matplotlib.pyplot as plt
+
+   @image_comparison(baseline_images=['line_dashes'], remove_text=True,
+                     extensions=['png'], style='mpl20')
+   def test_line_dashes():
+       fig, ax = plt.subplots()
+       ax.plot(range(10), linestyle=(0, (3, 3)), lw=5)
+
+The first time this test is run, there will be no baseline image to compare
+against, so the test will fail.  Copy the output images (in this case
+:file:`result_images/test_lines/test_line_dashes.png`) to the correct
+subdirectory of :file:`baseline_images` tree in the source directory (in this
+case :file:`lib/matplotlib/tests/baseline_images/test_lines`).  Put this new
+file under source code revision control (with ``git add``).  When rerunning
+the tests, they should now pass.
+
+It is preferred that new tests use ``style='mpl20'`` as this leads to smaller
+figures and reflects the newer look of default Matplotlib plots. Also, if the
+texts (labels, tick labels, etc) are not really part of what is tested, use the
+``remove_text=True`` argument or add the ``text_placeholders`` fixture as this
+will lead to smaller figures and reduce possible issues with font mismatch on
+different platforms.
+
+
+Compare two methods of creating an image
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Baseline images take a lot of space in the Matplotlib repository.
+An alternative approach for image comparison tests is to use the
+`~matplotlib.testing.decorators.check_figures_equal` decorator, which should be
+used to decorate a function taking two `.Figure` parameters and draws the same
+images on the figures using two different methods (the tested method and the
+baseline method).  The decorator will arrange for setting up the figures and
+then collect the drawn results and compare them.
+
+For example, this test compares two different methods to draw the same
+circle: plotting a circle using a `matplotlib.patches.Circle` patch
+vs plotting the circle using the parametric equation of a circle ::
+
+   from matplotlib.testing.decorators import check_figures_equal
+   import matplotlib.patches as mpatches
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   @check_figures_equal()
+   def test_parametric_circle_plot(fig_test, fig_ref):
+
+       xo = yo = 0.5
+       radius = 0.4
+
+       ax_test = fig_test.subplots()
+       theta = np.linspace(0, 2 * np.pi, 150)
+       l, = ax_test.plot(xo + (radius * np.cos(theta)),
+                         yo + (radius * np.sin(theta)), c='r')
+
+       ax_ref = fig_ref.subplots()
+       red_circle_ref = mpatches.Circle((xo, yo), radius, ec='r', fc='none',
+                                        lw=l.get_linewidth())
+       ax_ref.add_artist(red_circle_ref)
+
+       for ax in [ax_ref, ax_test]:
+           ax.set(xlim=(0, 1), ylim=(0, 1), aspect='equal')
+
+Both comparison decorators have a tolerance argument ``tol`` that is used to specify the
+tolerance for difference in color value between the two images, where 255 is the maximal
+difference. The test fails if the average pixel difference is greater than this value.
+
+See the documentation of `~matplotlib.testing.decorators.image_comparison` and
+`~matplotlib.testing.decorators.check_figures_equal` for additional information
+about their use.
 
 Creating a new module in matplotlib.tests
 -----------------------------------------
@@ -179,53 +223,42 @@ We try to keep the tests categorized by the primary module they are
 testing.  For example, the tests related to the ``mathtext.py`` module
 are in ``test_mathtext.py``.
 
-Let's say you've added a new module named ``whizbang.py`` and you want
-to add tests for it in ``matplotlib.tests.test_whizbang``.  To add
-this module to the list of default tests, append its name to
-``default_test_modules`` in :file:`lib/matplotlib/__init__.py`.
-
-Using Travis CI
----------------
+Using GitHub Actions for CI
+---------------------------
 
-`Travis CI <http://travis-ci.org/>`_ is a hosted CI system "in the
-cloud".
+`GitHub Actions <https://docs.github.com/en/actions>`_ is a hosted CI system
+"in the cloud".
 
-Travis is configured to receive notifications of new commits to GitHub
-repos (via GitHub "service hooks") and to run builds or tests when it
-sees these new commits. It looks for a YAML file called
-``.travis.yml`` in the root of the repository to see how to test the
-project.
+GitHub Actions is configured to receive notifications of new commits to GitHub
+repos and to run builds or tests when it sees these new commits. It looks for a
+YAML files in ``.github/workflows`` to see how to test the project.
 
-Travis CI is already enabled for the `main matplotlib GitHub
-repository <https://github.com/matplotlib/matplotlib/>`_ -- for
-example, see `its Travis page
-<http://travis-ci.org/#!/matplotlib/matplotlib>`_.
+GitHub Actions is already enabled for the `main Matplotlib GitHub repository
+<https://github.com/matplotlib/matplotlib/>`_ -- for example, see `the Tests
+workflows
+<https://github.com/matplotlib/matplotlib/actions?query=workflow%3ATests>`_.
 
-If you want to enable Travis CI for your personal matplotlib GitHub
-repo, simply enable the repo to use Travis CI in either the Travis CI
-UI or the GitHub UI (Admin | Service Hooks). For details, see `the
-Travis CI Getting Started page
-<http://about.travis-ci.org/docs/user/getting-started/>`_.  This
-generally isn't necessary, since any pull request submitted against
-the main matplotlib repository will be tested.
+GitHub Actions should be automatically enabled for your personal Matplotlib
+fork once the YAML workflow files are in it. It generally isn't necessary to
+look at these workflows, since any pull request submitted against the main
+Matplotlib repository will be tested. The Tests workflow is skipped in forked
+repositories but you can trigger a run manually from the `GitHub web interface
+<https://docs.github.com/en/actions/managing-workflow-runs/manually-running-a-workflow>`_.
 
-Once this is configured, you can see the Travis CI results at
-http://travis-ci.org/#!/your_GitHub_user_name/matplotlib -- here's `an
-example <http://travis-ci.org/#!/msabramo/matplotlib>`_.
+You can see the GitHub Actions results at
+https://github.com/your_GitHub_user_name/matplotlib/actions -- here's `an
+example <https://github.com/QuLogic/matplotlib/actions>`_.
 
 
 Using tox
 ---------
 
-`Tox <http://tox.testrun.org/>`_ is a tool for running tests against
-multiple Python environments, including multiple versions of Python
-(e.g., 2.6, 2.7, 3.2, etc.) and even different Python implementations
-altogether (e.g., CPython, PyPy, Jython, etc.)
-
-Testing all versions of Python (2.6, 2.7, 3.*) requires
-having multiple versions of Python installed on your system and on the
-PATH. Depending on your operating system, you may want to use your
-package manager (such as apt-get, yum or MacPorts) to do this.
+`Tox <https://tox.readthedocs.io/en/latest/>`_ is a tool for running tests
+against multiple Python environments, including multiple versions of Python
+(e.g., 3.10, 3.11) and even different Python implementations altogether
+(e.g., CPython, PyPy, Jython, etc.), as long as all these versions are
+available on your system's $PATH (consider using your system package manager,
+e.g. apt-get, yum, or Homebrew, to install them).
 
 tox makes it easy to determine if your working copy introduced any
 regressions before submitting a pull request. Here's how to use it:
@@ -239,7 +272,7 @@ You can also run tox on a subset of environments:
 
 .. code-block:: bash
 
-    $ tox -e py26,py27
+    $ tox -e py310,py311
 
 Tox processes everything serially so it can take a long time to test
 several environments. To speed it up, you might try using a new,
@@ -255,4 +288,58 @@ edit this file if you want to add new environments to test (e.g.,
 ``py33``) or if you want to tweak the dependencies or the way the
 tests are run. For more info on the ``tox.ini`` file, see the `Tox
 Configuration Specification
-<http://tox.testrun.org/latest/config.html>`_.
+<https://tox.readthedocs.io/en/latest/config.html>`_.
+
+Building old versions of Matplotlib
+-----------------------------------
+
+When running a ``git bisect`` to see which commit introduced a certain bug,
+you may (rarely) need to build very old versions of Matplotlib.  The following
+constraints need to be taken into account:
+
+- Matplotlib 1.3 (or earlier) requires numpy 1.8 (or earlier).
+
+Testing released versions of Matplotlib
+---------------------------------------
+Running the tests on an installation of a released version (e.g. PyPI package
+or conda package) also requires additional setup.
+
+.. note::
+
+   For an end-user, there is usually no need to run the tests on released
+   versions of Matplotlib. Official releases are tested before publishing.
+
+Install additional dependencies
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Install the :ref:`additional dependencies for testing <test-dependencies>`.
+
+Obtain the reference images
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Many tests compare the plot result against reference images. The reference
+images are not part of the regular packaged versions (pip wheels or conda
+packages). If you want to run tests with reference images, you need to obtain
+the reference images matching the version of Matplotlib you want to test.
+
+To do so, either download the matching source distribution
+``matplotlib-X.Y.Z.tar.gz`` from `PyPI <https://pypi.org/project/matplotlib/>`_
+or alternatively, clone the git repository and ``git checkout vX.Y.Z``. Copy
+the folder :file:`lib/matplotlib/tests/baseline_images` to the folder
+:file:`matplotlib/tests` of your the matplotlib installation to test.
+The correct target folder can be found using::
+
+    python -c "import matplotlib.tests; print(matplotlib.tests.__file__.rsplit('/', 1)[0])"
+
+An analogous copying of :file:`lib/mpl_toolkits/*/tests/baseline_images`
+is necessary for testing ``mpl_toolkits``.
+
+Run the tests
+^^^^^^^^^^^^^
+
+To run all the tests on your installed version of Matplotlib::
+
+    pytest --pyargs matplotlib.tests
+
+The test discovery scope can be narrowed to single test modules or even single
+functions::
+
+    pytest --pyargs matplotlib.tests.test_simplification.py::test_clipping
diff --git a/doc/devel/transformations.rst b/doc/devel/transformations.rst
deleted file mode 100644
index 1164031094fb..000000000000
--- a/doc/devel/transformations.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-==============================
- Working with transformations
-==============================
-
-.. inheritance-diagram:: matplotlib.transforms matplotlib.path
-   :parts: 1
-
-:mod:`matplotlib.transforms`
-=============================
-
-.. automodule:: matplotlib.transforms
-   :members: TransformNode, BboxBase, Bbox, TransformedBbox, Transform,
-       TransformWrapper, AffineBase, Affine2DBase, Affine2D, IdentityTransform,
-       BlendedGenericTransform, BlendedAffine2D, blended_transform_factory,
-       CompositeGenericTransform, CompositeAffine2D,
-       composite_transform_factory, BboxTransform, BboxTransformTo,
-       BboxTransformFrom, ScaledTranslation, TransformedPath, nonsingular,
-       interval_contains, interval_contains_open
-   :show-inheritance:
-
diff --git a/doc/devel/triage.rst b/doc/devel/triage.rst
new file mode 100644
index 000000000000..ca06fd515c79
--- /dev/null
+++ b/doc/devel/triage.rst
@@ -0,0 +1,218 @@
+
+.. _bug_triaging:
+
+*******************************
+Bug triaging and issue curation
+*******************************
+
+The `issue tracker <https://github.com/matplotlib/matplotlib/issues>`_
+is important to communication in the project because it serves as the
+centralized location for making feature requests, reporting bugs,
+identifying major projects to work on, and discussing priorities.  For
+this reason, it is important to curate the issue list, adding labels
+to issues and closing issues that are resolved or unresolvable.
+
+Writing well defined issues increases their chances of being successfully
+resolved. Guidelines on writing a good issue can be found in :ref:`here
+<submitting-a-bug-report>`. The recommendations in this page are adapted from
+the `scikit learn <https://scikit-learn.org/stable/developers/bug_triaging.html>`_
+and `Pandas <https://pandas.pydata.org/docs/development/maintaining.html>`_
+contributing guides.
+
+
+Improve issue reports
+=====================
+
+Triaging issues does not require any particular expertise in the
+internals of Matplotlib, is extremely valuable to the project, and we
+welcome anyone to participate in issue triage!  However, people who
+are not part of the Matplotlib organization do not have `permissions
+to change milestones, add labels, or close issue
+<https://docs.github.com/en/organizations/managing-access-to-your-organizations-repositories/repository-permission-levels-for-an-organization>`_.
+
+If you do not have enough GitHub permissions do something (e.g. add a
+label, close an issue), please leave a comment with your
+recommendations!
+
+The following actions are typically useful:
+
+- documenting issues that are missing elements to reproduce the problem
+  such as code samples
+
+- suggesting better use of code formatting (e.g. triple back ticks in the
+  markdown).
+
+- suggesting to reformulate the title and description to make them more
+  explicit about the problem to be solved
+
+- linking to related issues or discussions while briefly describing
+  how they are related, for instance "See also #xyz for a similar
+  attempt at this" or "See also #xyz where the same thing was
+  reported" provides context and helps the discussion
+
+- verifying that the issue is reproducible
+
+- classify the issue as a feature request, a long standing bug or a
+  regression
+
+.. topic:: Fruitful discussions
+
+   Online discussions may be harder than it seems at first glance, in
+   particular given that a person new to open-source may have a very
+   different understanding of the process than a seasoned maintainer.
+
+   Overall, it is useful to stay positive and assume good will. `The
+   following article
+   <http://gael-varoquaux.info/programming/technical-discussions-are-hard-a-few-tips.html>`_
+   explores how to lead online discussions in the context of open source.
+
+
+Maintainers and triage team members
+-----------------------------------
+
+In addition to the above, maintainers and the triage team can do the following
+important tasks:
+
+- Update labels for issues and PRs: see the list of `available GitHub
+  labels <https://github.com/matplotlib/matplotlib/labels>`_.
+
+- Triage issues:
+
+  - **reproduce the issue**, if the posted code is a bug label the issue
+    with "status: confirmed bug".
+
+  - **identify regressions**, determine if the reported bug used to
+    work as expected in a recent version of Matplotlib and if so
+    determine the last working version.  Regressions should be
+    milestoned for the next bug-fix release and may be labeled as
+    "Release critical".
+
+  - **close usage questions** and politely point the reporter to use
+    `discourse <https://discourse.matplotlib.org>`_ or Stack Overflow
+    instead and label as "community support".
+
+  - **close duplicate issues**, after checking that they are
+    indeed duplicate. Ideally, the original submitter moves the
+    discussion to the older, duplicate issue
+
+  - **close issues that cannot be replicated**, after leaving time (at
+    least a week) to add extra information
+
+
+.. topic:: Closing issues: a tough call
+
+    When uncertain on whether an issue should be closed or not, it is
+    best to strive for consensus with the original poster, and possibly
+    to seek relevant expertise. However, when the issue is a usage
+    question or has been considered as unclear for many years, then it
+    should be closed.
+
+Preparing PRs for review
+========================
+
+Reviewing code is also encouraged. Contributors and users are welcome to
+participate to the review process following our :ref:`review guidelines
+<pr-guidelines>`.
+
+.. _triage_workflow:
+
+Triage workflow
+===============
+
+The following workflow is a good way to approach issue triaging:
+
+#. Thank the reporter for opening an issue
+
+   The issue tracker is many people’s first interaction with the
+   Matplotlib project itself, beyond just using the library. As such,
+   we want it to be a welcoming, pleasant experience.
+
+#. Is this a usage question? If so close it with a polite message.
+
+#. Is the necessary information provided?
+
+   Check that the poster has filled in the issue template. If crucial
+   information (the version of Python, the version of Matplotlib used,
+   the OS, and the backend), is missing politely ask the original
+   poster to provide the information.
+
+#. Is the issue minimal and reproducible?
+
+   For bug reports, we ask that the reporter provide a minimal
+   reproducible example. See `this useful post
+   <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>`_
+   by Matthew Rocklin for a good explanation. If the example is not
+   reproducible, or if it's clearly not minimal, feel free to ask the reporter
+   if they can provide an example or simplify the provided one.
+   Do acknowledge that writing minimal reproducible examples is hard work.
+   If the reporter is struggling, you can try to write one yourself.
+
+   If a reproducible example is provided, but you see a simplification,
+   add your simpler reproducible example.
+
+   If you cannot reproduce the issue, please report that along with your
+   OS, Python, and Matplotlib versions.
+
+   If we need more information from either this or the previous step
+   please label the issue with "status: needs clarification".
+
+#. Is this a regression?
+
+   While we strive for a bug-free library, regressions are the highest
+   priority.  If we have broken user-code that *used to* work, we should
+   fix that in the next micro release!
+
+   Try to determine when the regression happened by running the
+   reproduction code against older versions of Matplotlib.  This can
+   be done by released versions of Matplotlib (to get the version it
+   last worked in) or by using `git bisect
+   <https://git-scm.com/docs/git-bisect>`_ to find the first commit
+   where it was broken.
+
+
+#. Is this a duplicate issue?
+
+   We have many open issues. If a new issue seems to be a duplicate,
+   point to the original issue. If it is a clear duplicate, or consensus
+   is that it is redundant, close it. Make sure to still thank the
+   reporter, and encourage them to chime in on the original issue, and
+   perhaps try to fix it.
+
+   If the new issue provides relevant information, such as a better or
+   slightly different example, add it to the original issue as a comment
+   or an edit to the original post.
+
+   Label the closed issue with "status: duplicate"
+
+#. Make sure that the title accurately reflects the issue. If you have the
+   necessary permissions edit it yourself if it's not clear.
+
+#. Add the relevant labels, such as "Documentation" when the issue is
+   about documentation, "Bug" if it is clearly a bug, "New feature" if it
+   is a new feature request, ...
+
+   If the issue is clearly defined and the fix seems relatively
+   straightforward, label the issue as “Good first issue� (and
+   possibly a description of the fix or a hint as to where in the
+   code base to look to get started).
+
+   An additional useful step can be to tag the corresponding module e.g.
+   the "GUI/Qt" label when relevant.
+
+.. _triage_team:
+
+Triage team
+===========
+
+
+If you would like to join the triage team:
+
+1. Correctly triage 2-3 issues.
+2. Ask someone on in the Matplotlib organization (publicly or privately) to
+   recommend you to the triage team (look for "Member" on the top-right of
+   comments on GitHub).  If you worked with someone on the issues triaged, they
+   would be a good person to ask.
+3. Responsibly exercise your new power!
+
+Anyone with commit or triage rights may nominate a user to be invited to join
+the triage team by emailing matplotlib-steering-council@numfocus.org .
diff --git a/doc/devel/troubleshooting.rst b/doc/devel/troubleshooting.rst
new file mode 100644
index 000000000000..74ce81b2da00
--- /dev/null
+++ b/doc/devel/troubleshooting.rst
@@ -0,0 +1,65 @@
+.. _troubleshooting-faq:
+
+.. redirect-from:: /faq/troubleshooting_faq
+.. redirect-from:: /users/faq/troubleshooting_faq
+
+===============
+Troubleshooting
+===============
+
+For guidance on debugging an installation, see :ref:`installing-faq`.
+
+
+.. _git-trouble:
+
+Problems with git
+=================
+
+First, make sure you have a clean build and install (see :ref:`clean-install`),
+get the latest git update, install it and run a simple test script in debug
+mode::
+
+    rm -rf /path/to/site-packages/matplotlib*
+    git clean -xfd
+    git pull
+    python -m pip install -v . > build.out
+    python -c "from pylab import *; set_loglevel('debug'); plot(); show()" > run.out
+
+and post :file:`build.out` and :file:`run.out` to the `matplotlib-devel
+<https://mail.python.org/mailman/listinfo/matplotlib-devel>`_
+mailing list (please do not post git problems to the `users list
+<https://mail.python.org/mailman/listinfo/matplotlib-users>`_).
+
+Of course, you will want to clearly describe your problem, what you
+are expecting and what you are getting, but often a clean build and
+install will help.  See also :ref:`reporting-problems`.
+
+Unlink of file ``*/_c_internal_utils.cp311-win_amd64.pyd`` failed
+============================================================================
+
+The DLL files may be loaded by multiple running instances of Matplotlib; therefore
+check that Matplotlib is not running in any other application before trying to
+unlink this file. Multiple versions of Matplotlib can be linked to the same DLL,
+for example a development version installed in a development conda environment
+and a stable version running in a Jupyter notebook. To resolve this error, fully
+close all running instances of Matplotlib.
+
+Windows compilation errors
+==========================
+If the compiled extensions are not building on Windows due to errors in linking to
+Windows' header files, for example ``../../src/_tkagg.cpp:133:10: error: 'WM_DPICHANGED' was not declared in this scope``,
+you should check which compiler Meson is using:
+
+.. code-block:: bat
+
+    Build type: native build
+    Project name: matplotlib
+    Project version: 3.9.0.dev0
+    C compiler for the host machine: cc (gcc 7.2.0 "cc (Rev1, Built by MSYS2 project) 7.2.0")
+    C linker for the host machine: cc ld.bfd 2.29.1
+    C++ compiler for the host machine: c++ (gcc 7.2.0 "c++ (Rev1, Built by MSYS2 project) 7.2.0")
+    C++ linker for the host machine: c++ ld.bfd 2.29.1
+
+Our :ref:`dependencies <dependencies>` documentation lists the minimum header
+version if you intended to use ``MSYS2``. If you intended to use ``MSVC`` then
+you may need to force Meson to :external+meson-python:ref:`use MSVC <vsenv-example>`.
diff --git a/doc/docutils.conf b/doc/docutils.conf
new file mode 100644
index 000000000000..92499053dc23
--- /dev/null
+++ b/doc/docutils.conf
@@ -0,0 +1,6 @@
+# These entries affect HTML output:
+[html4css1 writer]
+# Required for docutils-update, the website build system:
+field-name-limit: 20
+# Required for browser-level lazy-loading of images:
+image_loading: lazy
diff --git a/doc/faq/environment_variables_faq.rst b/doc/faq/environment_variables_faq.rst
deleted file mode 100644
index bcad4cb25635..000000000000
--- a/doc/faq/environment_variables_faq.rst
+++ /dev/null
@@ -1,98 +0,0 @@
-.. _environment-variables:
-
-*********************
-Environment Variables
-*********************
-
-.. contents::
-   :backlinks: none
-
-
-.. envvar:: HOME
-
-  The user's home directory. On linux, :envvar:`~ <HOME>` is shorthand for :envvar:`HOME`.
-
-.. envvar:: PATH
-
-  The list of directories searched to find executable programs
-
-.. envvar:: PYTHONPATH
-
-  The list of directories that is added to Python's standard search list when
-  importing packages and modules
-
-.. envvar:: MPLCONFIGDIR
-
-  This is the directory used to store user customizations to matplotlib, as
-  well as some caches to improve performance. If :envvar:`MPLCONFIGDIR` is not
-  defined, :file:`{HOME}/.matplotlib` is used if it is writable.
-  Otherwise, the python standard library :func:`tempfile.gettmpdir` is
-  used to find a base directory in which the :file:`matplotlib`
-  subdirectory is created.
-
-.. _setting-linux-osx-environment-variables:
-
-Setting environment variables in Linux and OS-X
-===============================================
-
-To list the current value of :envvar:`PYTHONPATH`, which may be empty, try::
-
-  echo $PYTHONPATH
-
-The procedure for setting environment variables in depends on what your default
-shell is. :program:`BASH` seems to be the most common, but :program:`CSH` is
-also common. You should be able to determine which by running at the command
-prompt::
-
-  echo $SHELL
-
-
-BASH/KSH
---------
-
-To create a new environment variable::
-
-  export PYTHONPATH=~/Python
-
-To prepend to an existing environment variable::
-
-  export PATH=~/bin:${PATH}
-
-The search order may be important to you, do you want :file:`~/bin` to
-be searched first or last? To append to an existing environment
-variable::
-
-  export PATH=${PATH}:~/bin
-
-To make your changes available in the future, add the commands to your
-:file:`~/.bashrc` file.
-
-
-CSH/TCSH
---------
-
-To create a new environment variable::
-
-  setenv PYTHONPATH ~/Python
-
-To prepend to an existing environment variable::
-
-  setenv PATH ~/bin:${PATH}
-
-The search order may be important to you, do you want :file:`~/bin` to be searched
-first or last? To append to an existing environment variable::
-
-  setenv PATH ${PATH}:~/bin
-
-To make your changes available in the future, add the commands to your
-:file:`~/.cshrc` file.
-
-.. _setting-windows-environment-variables:
-
-Setting environment variables in windows
-========================================
-
-Open the :program:`Control Panel` (:menuselection:`Start --> Control Panel`),
-start the :program:`System` program. Click the :guilabel:`Advanced` tab
-and select the :guilabel:`Environment Variables` button. You can edit or add to
-the :guilabel:`User Variables`.
diff --git a/doc/faq/fig_map.png b/doc/faq/fig_map.png
deleted file mode 100644
index 8af3500399fd..000000000000
Binary files a/doc/faq/fig_map.png and /dev/null differ
diff --git a/doc/faq/howto_faq.rst b/doc/faq/howto_faq.rst
deleted file mode 100644
index c354b91b01ae..000000000000
--- a/doc/faq/howto_faq.rst
+++ /dev/null
@@ -1,720 +0,0 @@
-
-.. _howto-faq:
-
-******
-How-To
-******
-
-.. contents::
-   :backlinks: none
-
-
-.. _howto-plotting:
-
-Plotting: howto
-===============
-
-.. _howto-findobj:
-
-Find all objects in a figure of a certain type
-----------------------------------------------
-
-Every matplotlib artist (see :ref:`artist-tutorial`) has a method
-called :meth:`~matplotlib.artist.Artist.findobj` that can be used to
-recursively search the artist for any artists it may contain that meet
-some criteria (e.g., match all :class:`~matplotlib.lines.Line2D`
-instances or match some arbitrary filter function).  For example, the
-following snippet finds every object in the figure which has a
-`set_color` property and makes the object blue::
-
-    def myfunc(x):
-        return hasattr(x, 'set_color')
-
-    for o in fig.findobj(myfunc):
-        o.set_color('blue')
-
-You can also filter on class instances::
-
-    import matplotlib.text as text
-    for o in fig.findobj(text.Text):
-        o.set_fontstyle('italic')
-
-
-.. _howto-supress_offset:
-
-How to prevent ticklabels from having an offset
------------------------------------------------
-The default formatter will use an offset to reduce
-the length of the ticklabels.  To turn this feature
-off on a per-axis basis::
-
-   ax.get_xaxis().get_major_formatter().set_useOffset(False)
-
-set the rcParam ``axes.formatter.useoffset``, or use a different
-formatter.  See :mod:`~matplotlib.ticker` for details.
-
-.. _howto-transparent:
-
-Save transparent figures
-------------------------
-
-The :meth:`~matplotlib.pyplot.savefig` command has a keyword argument
-*transparent* which, if 'True', will make the figure and axes
-backgrounds transparent when saving, but will not affect the displayed
-image on the screen.
-
-If you need finer grained control, e.g., you do not want full transparency
-or you want to affect the screen displayed version as well, you can set
-the alpha properties directly.  The figure has a
-:class:`~matplotlib.patches.Rectangle` instance called *patch*
-and the axes has a Rectangle instance called *patch*.  You can set
-any property on them directly (*facecolor*, *edgecolor*, *linewidth*,
-*linestyle*, *alpha*).  e.g.::
-
-    fig = plt.figure()
-    fig.patch.set_alpha(0.5)
-    ax = fig.add_subplot(111)
-    ax.patch.set_alpha(0.5)
-
-If you need *all* the figure elements to be transparent, there is
-currently no global alpha setting, but you can set the alpha channel
-on individual elements, e.g.::
-
-   ax.plot(x, y, alpha=0.5)
-   ax.set_xlabel('volts', alpha=0.5)
-
-
-.. _howto-multipage:
-
-Save multiple plots to one pdf file
------------------------------------
-
-Many image file formats can only have one image per file, but some
-formats support multi-page files. Currently only the pdf backend has
-support for this. To make a multi-page pdf file, first initialize the
-file::
-
-    from matplotlib.backends.backend_pdf import PdfPages
-    pp = PdfPages('multipage.pdf')
-
-You can give the :class:`~matplotlib.backends.backend_pdf.PdfPages`
-object to :func:`~matplotlib.pyplot.savefig`, but you have to specify
-the format::
-
-    plt.savefig(pp, format='pdf')
-
-An easier way is to call
-:meth:`PdfPages.savefig <matplotlib.backends.backend_pdf.PdfPages.savefig>`::
-
-    pp.savefig()
-
-Finally, the multipage pdf object has to be closed::
-
-    pp.close()
-
-
-.. _howto-subplots-adjust:
-
-Move the edge of an axes to make room for tick labels
------------------------------------------------------
-
-For subplots, you can control the default spacing on the left, right,
-bottom, and top as well as the horizontal and vertical spacing between
-multiple rows and columns using the
-:meth:`matplotlib.figure.Figure.subplots_adjust` method (in pyplot it
-is :func:`~matplotlib.pyplot.subplots_adjust`).  For example, to move
-the bottom of the subplots up to make room for some rotated x tick
-labels::
-
-    fig = plt.figure()
-    fig.subplots_adjust(bottom=0.2)
-    ax = fig.add_subplot(111)
-
-You can control the defaults for these parameters in your
-:file:`matplotlibrc` file; see :ref:`customizing-matplotlib`.  For
-example, to make the above setting permanent, you would set::
-
-    figure.subplot.bottom : 0.2   # the bottom of the subplots of the figure
-
-The other parameters you can configure are, with their defaults
-
-*left*  = 0.125
-    the left side of the subplots of the figure
-*right* = 0.9
-    the right side of the subplots of the figure
-*bottom* = 0.1
-    the bottom of the subplots of the figure
-*top* = 0.9
-    the top of the subplots of the figure
-*wspace* = 0.2
-    the amount of width reserved for blank space between subplots
-*hspace* = 0.2
-    the amount of height reserved for white space between subplots
-
-If you want additional control, you can create an
-:class:`~matplotlib.axes.Axes` using the
-:func:`~matplotlib.pyplot.axes` command (or equivalently the figure
-:meth:`~matplotlib.figure.Figure.add_axes` method), which allows you to
-specify the location explicitly::
-
-    ax = fig.add_axes([left, bottom, width, height])
-
-where all values are in fractional (0 to 1) coordinates.  See
-:ref:`pylab_examples-axes_demo` for an example of placing axes manually.
-
-.. _howto-auto-adjust:
-
-Automatically make room for tick labels
----------------------------------------
-
-.. note::
-   This is now easier to handle than ever before.
-   Calling :func:`~matplotlib.pyplot.tight_layout` can fix many common
-   layout issues. See the :ref:`plotting-guide-tight-layout`.
-
-   The information below is kept here in case it is useful for other
-   purposes.
-
-In most use cases, it is enough to simply change the subplots adjust
-parameters as described in :ref:`howto-subplots-adjust`.  But in some
-cases, you don't know ahead of time what your tick labels will be, or
-how large they will be (data and labels outside your control may be
-being fed into your graphing application), and you may need to
-automatically adjust your subplot parameters based on the size of the
-tick labels.  Any :class:`~matplotlib.text.Text` instance can report
-its extent in window coordinates (a negative x coordinate is outside
-the window), but there is a rub.
-
-The :class:`~matplotlib.backend_bases.RendererBase` instance, which is
-used to calculate the text size, is not known until the figure is
-drawn (:meth:`~matplotlib.figure.Figure.draw`).  After the window is
-drawn and the text instance knows its renderer, you can call
-:meth:`~matplotlib.text.Text.get_window_extent`.  One way to solve
-this chicken and egg problem is to wait until the figure is draw by
-connecting
-(:meth:`~matplotlib.backend_bases.FigureCanvasBase.mpl_connect`) to the
-"on_draw" signal (:class:`~matplotlib.backend_bases.DrawEvent`) and
-get the window extent there, and then do something with it, e.g., move
-the left of the canvas over; see :ref:`event-handling-tutorial`.
-
-Here is an example that gets a bounding box in relative figure coordinates
-(0..1) of each of the labels and uses it to move the left of the subplots
-over so that the tick labels fit in the figure
-
-.. plot:: pyplots/auto_subplots_adjust.py
-   :include-source:
-
-.. _howto-ticks:
-
-Configure the tick linewidths
------------------------------
-
-In matplotlib, the ticks are *markers*.  All
-:class:`~matplotlib.lines.Line2D` objects support a line (solid,
-dashed, etc) and a marker (circle, square, tick).  The tick linewidth
-is controlled by the "markeredgewidth" property::
-
-    import matplotlib.pyplot as plt
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(range(10))
-
-    for line in ax.get_xticklines() + ax.get_yticklines():
-        line.set_markersize(10)
-
-    plt.show()
-
-The other properties that control the tick marker, and all markers,
-are ``markerfacecolor``, ``markeredgecolor``, ``markeredgewidth``,
-``markersize``.  For more information on configuring ticks, see
-:ref:`axis-container` and :ref:`tick-container`.
-
-
-.. _howto-align-label:
-
-Align my ylabels across multiple subplots
------------------------------------------
-
-If you have multiple subplots over one another, and the y data have
-different scales, you can often get ylabels that do not align
-vertically across the multiple subplots, which can be unattractive.
-By default, matplotlib positions the x location of the ylabel so that
-it does not overlap any of the y ticks.  You can override this default
-behavior by specifying the coordinates of the label.  The example
-below shows the default behavior in the left subplots, and the manual
-setting in the right subplots.
-
-.. plot:: pyplots/align_ylabels.py
-   :include-source:
-
-.. _date-index-plots:
-
-Skip dates where there is no data
----------------------------------
-
-When plotting time series, e.g., financial time series, one often wants
-to leave out days on which there is no data, e.g., weekends.  By passing
-in dates on the x-xaxis, you get large horizontal gaps on periods when
-there is not data. The solution is to pass in some proxy x-data, e.g.,
-evenly sampled indices, and then use a custom formatter to format
-these as dates. The example below shows how to use an 'index formatter'
-to achieve the desired plot::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-    import matplotlib.mlab as mlab
-    import matplotlib.ticker as ticker
-
-    r = mlab.csv2rec('../data/aapl.csv')
-    r.sort()
-    r = r[-30:]  # get the last 30 days
-
-    N = len(r)
-    ind = np.arange(N)  # the evenly spaced plot indices
-
-    def format_date(x, pos=None):
-        thisind = np.clip(int(x+0.5), 0, N-1)
-        return r.date[thisind].strftime('%Y-%m-%d')
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(ind, r.adj_close, 'o-')
-    ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
-    fig.autofmt_xdate()
-
-    plt.show()
-
-.. _howto-set-zorder:
-
-Control the depth of plot elements
-----------------------------------
-
-
-Within an axes, the order that the various lines, markers, text,
-collections, etc appear is determined by the
-:meth:`~matplotlib.artist.Artist.set_zorder` property.  The default
-order is patches, lines, text, with collections of lines and
-collections of patches appearing at the same level as regular lines
-and patches, respectively::
-
-    line, = ax.plot(x, y, zorder=10)
-
-.. htmlonly::
-
-    See :ref:`pylab_examples-zorder_demo` for a complete example.
-
-You can also use the Axes property
-:meth:`~matplotlib.axes.Axes.set_axisbelow` to control whether the grid
-lines are placed above or below your other plot elements.
-
-.. _howto-axis-equal:
-
-Make the aspect ratio for plots equal
--------------------------------------
-
-The Axes property :meth:`~matplotlib.axes.Axes.set_aspect` controls the
-aspect ratio of the axes.  You can set it to be 'auto', 'equal', or
-some ratio which controls the ratio::
-
-  ax = fig.add_subplot(111, aspect='equal')
-
-
-
-.. htmlonly::
-
-    See :ref:`pylab_examples-equal_aspect_ratio` for a complete example.
-
-
-.. _howto-twoscale:
-
-Multiple y-axis scales
-----------------------
-
-A frequent request is to have two scales for the left and right
-y-axis, which is possible using :func:`~matplotlib.pyplot.twinx` (more
-than two scales are not currently supported, though it is on the wish
-list).  This works pretty well, though there are some quirks when you
-are trying to interactively pan and zoom, because both scales do not get
-the signals.
-
-The approach uses :func:`~matplotlib.pyplot.twinx` (and its sister
-:func:`~matplotlib.pyplot.twiny`) to use *2 different axes*,
-turning the axes rectangular frame off on the 2nd axes to keep it from
-obscuring the first, and manually setting the tick locs and labels as
-desired.  You can use separate matplotlib.ticker formatters and
-locators as desired because the two axes are independent.
-
-.. plot::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(111)
-    t = np.arange(0.01, 10.0, 0.01)
-    s1 = np.exp(t)
-    ax1.plot(t, s1, 'b-')
-    ax1.set_xlabel('time (s)')
-    ax1.set_ylabel('exp')
-
-    ax2 = ax1.twinx()
-    s2 = np.sin(2*np.pi*t)
-    ax2.plot(t, s2, 'r.')
-    ax2.set_ylabel('sin')
-    plt.show()
-
-
-.. htmlonly::
-
-    See :ref:`api-two_scales` for a complete example
-
-.. _howto-batch:
-
-Generate images without having a window appear
-----------------------------------------------
-
-The easiest way to do this is use a non-interactive backend (see
-:ref:`what-is-a-backend`) such as Agg (for PNGs), PDF, SVG or PS.  In
-your figure-generating script, just call the
-:func:`matplotlib.use` directive before importing pylab or
-pyplot::
-
-    import matplotlib
-    matplotlib.use('Agg')
-    import matplotlib.pyplot as plt
-    plt.plot([1,2,3])
-    plt.savefig('myfig')
-
-
-.. seealso::
-
-    :ref:`howto-webapp` for information about running matplotlib inside
-    of a web application.
-
-.. _howto-show:
-
-Use :func:`~matplotlib.pyplot.show`
------------------------------------
-
-When you want to view your plots on your display,
-the user interface backend will need to start the GUI mainloop.
-This is what :func:`~matplotlib.pyplot.show` does.  It tells
-matplotlib to raise all of the figure windows created so far and start
-the mainloop. Because this mainloop is blocking by default (i.e., script
-execution is paused), you should only call this once per script, at the end.
-Script execution is resumed after the last window is closed. Therefore, if
-you are using matplotlib to generate only images and do not want a user
-interface window, you do not need to call ``show``  (see :ref:`howto-batch`
-and :ref:`what-is-a-backend`).
-
-.. note::
-   Because closing a figure window invokes the destruction of its plotting
-   elements, you should call :func:`~matplotlib.pyplot.savefig` *before*
-   calling ``show`` if you wish to save the figure as well as view it.
-
-.. versionadded:: v1.0.0
-   ``show`` now starts the GUI mainloop only if it isn't already running.
-   Therefore, multiple calls to ``show`` are now allowed.
-
-Having ``show`` block further execution of the script or the python
-interpreter depends on whether matplotlib is set for interactive mode
-or not.  In non-interactive mode (the default setting), execution is paused
-until the last figure window is closed.  In interactive mode, the execution
-is not paused, which allows you to create additional figures (but the script
-won't finish until the last figure window is closed).
-
-.. note::
-   Support for interactive/non-interactive mode depends upon the backend.
-   Until version 1.0.0 (and subsequent fixes for 1.0.1), the behavior of
-   the interactive mode was not consistent across backends.
-   As of v1.0.1, only the macosx backend differs from other backends
-   because it does not support non-interactive mode.
-
-
-Because it is expensive to draw, you typically will not want matplotlib
-to redraw a figure many times in a script such as the following::
-
-    plot([1,2,3])            # draw here ?
-    xlabel('time')           # and here ?
-    ylabel('volts')          # and here ?
-    title('a simple plot')   # and here ?
-    show()
-
-
-However, it is *possible* to force matplotlib to draw after every command,
-which might be what you want when working interactively at the
-python console (see :ref:`mpl-shell`), but in a script you want to
-defer all drawing until the call to ``show``.  This is especially
-important for complex figures that take some time to draw.
-:func:`~matplotlib.pyplot.show` is designed to tell matplotlib that
-you're all done issuing commands and you want to draw the figure now.
-
-.. note::
-
-    :func:`~matplotlib.pyplot.show` should typically only be called at
-    most once per script and it should be the last line of your
-    script.  At that point, the GUI takes control of the interpreter.
-    If you want to force a figure draw, use
-    :func:`~matplotlib.pyplot.draw` instead.
-
-Many users are frustrated by ``show`` because they want it to be a
-blocking call that raises the figure, pauses the script until they
-close the figure, and then allow the script to continue running until
-the next figure is created and the next show is made.  Something like
-this::
-
-   # WARNING : illustrating how NOT to use show
-   for i in range(10):
-       # make figure i
-       show()
-
-This is not what show does and unfortunately, because doing blocking
-calls across user interfaces can be tricky, is currently unsupported,
-though we have made significant progress towards supporting blocking events.
-
-.. versionadded:: v1.0.0
-   As noted earlier, this restriction has been relaxed to allow multiple
-   calls to ``show``.  In *most* backends, you can now expect to be
-   able to create new figures and raise them in a subsequent call to
-   ``show`` after closing the figures from a previous call to ``show``.
-
-.. _howto-boxplot_violinplot:
-
-Interpreting box plots and violin plots
----------------------------------------
-
-Tukey's `box plots <http://matplotlib.org/examples/pylab_examples/boxplot_demo.html>`_ (Robert McGill, John W. Tukey and Wayne A. Larsen: "The American Statistician" Vol. 32, No. 1, Feb., 1978, pp. 12-16) are statistical plots that provide useful information about the data distribution such as skewness. However, bar plots with error bars are still the common standard in most scientific literature, and thus, the interpretation of box plots can be challenging for the unfamiliar reader. The figure below illustrates the different visual features of a box plot.
-
-.. figure:: ../_static/boxplot_explanation.png
-
-`Violin plots <http://matplotlib.org/examples/statistics/violinplot_demo.html>`_ are closely related to box plots but add useful information such as the distribution of the sample data (density trace).
-Violin plots were added in matplotlib 1.4.
-
-
-.. _howto-contribute:
-
-Contributing: howto
-===================
-
-.. _how-to-request-feature:
-
-Request a new feature
----------------------
-
-Is there a feature you wish matplotlib had?  Then ask!  The best
-way to get started is to email the developer `mailing
-list <matplotlib-devel@lists.sourceforge.net>`_ for discussion.
-This is an open source project developed primarily in the
-contributors free time, so there is no guarantee that your
-feature will be added.  The *best* way to get the feature
-you need added is to contribute it your self.
-
-.. _how-to-submit-patch:
-
-Reporting a bug or submitting a patch
--------------------------------------
-
-The development of matplotlib is organized through `github
-<https://github.com/matplotlib/matplotlib>`_.  If you would like
-to report a bug or submit a patch please use that interface.
-
-To report a bug `create an issue
-<https://github.com/matplotlib/matplotlib/issues/new>`_ on github
-(this requires having a github account).  Please include a `Short,
-Self Contained, Correct (Compilable), Example <http://sscce.org>`_
-demonstrating what the bug is.  Including a clear, easy to test
-example makes it easy for the developers to evaluate the bug.  Expect
-that the bug reports will be a conversation.  If you do not want to
-register with github, please email bug reports to the `mailing list
-<matplotlib-devel@lists.sourceforge.net>`_.
-
-
-The easiest way to submit patches to matplotlib is through pull
-requests on github.  Please see the :ref:`developers-guide-index` for
-the details.
-
-.. _how-to-contribute-docs:
-
-Contribute to matplotlib documentation
---------------------------------------
-
-matplotlib is a big library, which is used in many ways, and the
-documentation has only scratched the surface of everything it can
-do.  So far, the place most people have learned all these features are
-through studying the examples (:ref:`how-to-search-examples`), which is a
-recommended and great way to learn, but it would be nice to have more
-official narrative documentation guiding people through all the dark
-corners.  This is where you come in.
-
-There is a good chance you know more about matplotlib usage in some
-areas, the stuff you do every day, than many of the core developers
-who wrote most of the documentation.  Just pulled your hair out
-compiling matplotlib for windows?  Write a FAQ or a section for the
-:ref:`installing-faq` page.  Are you a digital signal processing wizard?
-Write a tutorial on the signal analysis plotting functions like
-:func:`~matplotlib.pyplot.xcorr`, :func:`~matplotlib.pyplot.psd` and
-:func:`~matplotlib.pyplot.specgram`.  Do you use matplotlib with
-`django <http://www.djangoproject.com/>`_ or other popular web
-application servers?  Write a FAQ or tutorial and we'll find a place
-for it in the :ref:`users-guide-index`.  Bundle matplotlib in a
-`py2exe <http://www.py2exe.org/>`_ app?  ... I think you get the idea.
-
-matplotlib is documented using the `sphinx
-<http://sphinx.pocoo.org/index.html>`_ extensions to restructured text
-`(ReST) <http://docutils.sourceforge.net/rst.html>`_.  sphinx is an
-extensible python framework for documentation projects which generates
-HTML and PDF, and is pretty easy to write; you can see the source for this
-document or any page on this site by clicking on the *Show Source* link
-at the end of the page in the sidebar (or `here
-<../_sources/faq/howto_faq.txt>`_ for this document).
-
-The sphinx website is a good resource for learning sphinx, but we have
-put together a cheat-sheet at :ref:`documenting-matplotlib` which
-shows you how to get started, and outlines the matplotlib conventions
-and extensions, e.g., for including plots directly from external code in
-your documents.
-
-Once your documentation contributions are working (and hopefully
-tested by actually *building* the docs) you can submit them as a patch
-against git.  See :ref:`install-git` and :ref:`how-to-submit-patch`.
-Looking for something to do?  Search for `TODO <../search.html?q=todo>`_
-or look at the open issues on github.
-
-
-
-
-.. _howto-webapp:
-
-Matplotlib in a web application server
-======================================
-
-Many users report initial problems trying to use maptlotlib in web
-application servers, because by default matplotlib ships configured to
-work with a graphical user interface which may require an X11
-connection.  Since many barebones application servers do not have X11
-enabled, you may get errors if you don't configure matplotlib for use
-in these environments.  Most importantly, you need to decide what
-kinds of images you want to generate (PNG, PDF, SVG) and configure the
-appropriate default backend.  For 99% of users, this will be the Agg
-backend, which uses the C++
-`antigrain <http://agg.sourceforge.net/antigrain.com/index.html>`_
-rendering engine to make nice PNGs.  The Agg backend is also
-configured to recognize requests to generate other output formats
-(PDF, PS, EPS, SVG).  The easiest way to configure matplotlib to use
-Agg is to call::
-
-    # do this before importing pylab or pyplot
-    import matplotlib
-    matplotlib.use('Agg')
-    import matplotlib.pyplot as plt
-
-For more on configuring your backend, see
-:ref:`what-is-a-backend`.
-
-Alternatively, you can avoid pylab/pyplot altogether, which will give
-you a little more control, by calling the API directly as shown in
-:ref:`api-agg_oo`.
-
-You can either generate hardcopy on the filesystem by calling savefig::
-
-    # do this before importing pylab or pyplot
-    import matplotlib
-    matplotlib.use('Agg')
-    import matplotlib.pyplot as plt
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot([1,2,3])
-    fig.savefig('test.png')
-
-or by saving to a file handle::
-
-    import sys
-    fig.savefig(sys.stdout)
-
-Here is an example using `Pillow <http://python-imaging.github.io/>`_.
-First, the figure is saved to a StringIO object which is then fed to
-Pillow for further processing::
-
-    import StringIO, Image
-    imgdata = StringIO.StringIO()
-    fig.savefig(imgdata, format='png')
-    imgdata.seek(0)  # rewind the data
-    im = Image.open(imgdata)
-
-
-matplotlib with apache
-----------------------
-
-TODO; see :ref:`how-to-contribute-docs`.
-
-matplotlib with django
-----------------------
-
-TODO; see :ref:`how-to-contribute-docs`.
-
-matplotlib with zope
---------------------
-
-TODO; see :ref:`how-to-contribute-docs`.
-
-.. _howto-click-maps:
-
-Clickable images for HTML
--------------------------
-
-Andrew Dalke of `Dalke Scientific <http://www.dalkescientific.com>`_
-has written a nice `article
-<http://www.dalkescientific.com/writings/diary/archive/2005/04/24/interactive_html.html>`_
-on how to make html click maps with matplotlib agg PNGs.  We would
-also like to add this functionality to SVG.  If you are interested in
-contributing to these efforts that would be great.
-
-
-.. _how-to-search-examples:
-
-Search examples
-===============
-
-The nearly 300 code :ref:`examples-index` included with the matplotlib
-source distribution are full-text searchable from the :ref:`search`
-page, but sometimes when you search, you get a lot of results from the
-:ref:`api-index` or other documentation that you may not be interested
-in if you just want to find a complete, free-standing, working piece
-of example code.  To facilitate example searches, we have tagged every
-code example page with the keyword ``codex`` for *code example* which
-shouldn't appear anywhere else on this site except in the FAQ.
-So if you want to search for an example that uses an
-ellipse, :ref:`search` for ``codex ellipse``.
-
-
-.. _how-to-cite-mpl:
-
-Cite Matplotlib
-===============
-
-If you want to refer to matplotlib in a publication, you can use
-"Matplotlib: A 2D Graphics Environment" by J. D. Hunter In Computing
-in Science & Engineering, Vol. 9, No. 3. (2007), pp. 90-95 (see `this
-reference page <http://dx.doi.org/10.1109/MCSE.2007.55>`_)::
-
-  @article{Hunter:2007,
-	  Address = {10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA},
-	  Author = {Hunter, John D.},
-	  Date-Added = {2010-09-23 12:22:10 -0700},
-	  Date-Modified = {2010-09-23 12:22:10 -0700},
-	  Isi = {000245668100019},
-	  Isi-Recid = {155389429},
-	  Journal = {Computing In Science \& Engineering},
-	  Month = {May-Jun},
-	  Number = {3},
-	  Pages = {90--95},
-	  Publisher = {IEEE COMPUTER SOC},
-	  Times-Cited = {21},
-	  Title = {Matplotlib: A 2D graphics environment},
-	  Type = {Editorial Material},
-	  Volume = {9},
-	  Year = {2007},
-	  Abstract = {Matplotlib is a 2D graphics package used for Python for application
-                      development, interactive scripting, and publication-quality image
-                      generation across user interfaces and operating systems.},
-	  Bdsk-Url-1 = {http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;KeyUT=000245668100019}}
diff --git a/doc/faq/index.rst b/doc/faq/index.rst
deleted file mode 100644
index b41610b05652..000000000000
--- a/doc/faq/index.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-.. _faq-index:
-
-##################
-The Matplotlib FAQ
-##################
-
-.. htmlonly::
-
-   :Release: |version|
-   :Date: |today|
-
-   Frequently asked questions about matplotlib
-
-.. toctree::
-   :maxdepth: 2
-
-   installing_faq.rst
-   usage_faq.rst
-   howto_faq.rst
-   troubleshooting_faq.rst
-   environment_variables_faq.rst
-
diff --git a/doc/faq/installing_faq.rst b/doc/faq/installing_faq.rst
deleted file mode 100644
index b6bdd906bf04..000000000000
--- a/doc/faq/installing_faq.rst
+++ /dev/null
@@ -1,397 +0,0 @@
-.. _installing-faq:
-
-*************
- Installation
-*************
-
-.. contents::
-   :backlinks: none
-
-Report a compilation problem
-============================
-
-See :ref:`reporting-problems`.
-
-matplotlib compiled fine, but nothing shows up when I use it
-============================================================
-
-The first thing to try is a :ref:`clean install <clean-install>` and see if
-that helps.  If not, the best way to test your install is by running a script,
-rather than working interactively from a python shell or an integrated
-development environment such as :program:`IDLE` which add additional
-complexities. Open up a UNIX shell or a DOS command prompt and cd into a
-directory containing a minimal example in a file. Something like
-:file:`simple_plot.py` for example::
-
-  from pylab import *
-  plot([1,2,3])
-  show()
-
-and run it with::
-
-  python simple_plot.py --verbose-helpful
-
-This will give you additional information about which backends matplotlib is
-loading, version information, and more. At this point you might want to make
-sure you understand matplotlib's :ref:`configuration <customizing-matplotlib>`
-process, governed by the :file:`matplotlibrc` configuration file which contains
-instructions within and the concept of the matplotlib backend.
-
-If you are still having trouble, see :ref:`reporting-problems`.
-
-.. _clean-install:
-
-How to completely remove matplotlib
-===================================
-
-Occasionally, problems with matplotlib can be solved with a clean
-installation of the package.
-
-The process for removing an installation of matplotlib depends on how
-matplotlib was originally installed on your system. Follow the steps
-below that goes with your original installation method to cleanly
-remove matplotlib from your system.
-
-Easy Install
-------------
-
-1. Delete the caches from your :ref:`.matplotlib configuration directory
-   <locating-matplotlib-config-dir>`.
-
-2. Run::
-
-     easy_install -m matplotlib
-
-
-3. Delete any .egg files or directories from your :ref:`installation
-   directory <locating-matplotlib-install>`.
-
-
-
-Windows installer
------------------
-
-1. Delete the caches from your :ref:`.matplotlib configuration directory
-   <locating-matplotlib-config-dir>`.
-
-2. Use :menuselection:`Start --> Control Panel` to start the :program:`Add and
-   Remove Software` utility.
-
-Source install
---------------
-
-Unfortunately::
-
-    python setup.py clean
-
-does not properly clean the build directory, and does nothing to the
-install directory.  To cleanly rebuild:
-
-1. Delete the caches from your :ref:`.matplotlib configuration directory
-   <locating-matplotlib-config-dir>`.
-
-2. Delete the ``build`` directory in the source tree.
-
-3. Delete any matplotlib directories or eggs from your :ref:`installation
-   directory <locating-matplotlib-install>`.
-
-How to Install
-==============
-
-.. _install-from-git:
-
-Source install from git
------------------------
-
-Clone the main source using one of::
-
-   git clone git@github.com:matplotlib/matplotlib.git
-
-or::
-
-   git clone git://github.com/matplotlib/matplotlib.git
-
-and build and install as usual with::
-
-  > cd matplotlib
-  > python setup.py install
-
-.. note::
-
-    If you are on debian/ubuntu, you can get all the dependencies
-    required to build matplotlib with::
-
-      sudo apt-get build-dep python-matplotlib
-
-    If you are on Fedora/RedHat, you can get all the dependencies
-    required to build matplotlib by first installing ``yum-builddep``
-    and then running::
-
-       su -c "yum-builddep python-matplotlib"
-
-    This does not build matplotlib, but it does get all of the
-    build dependencies, which will make building from source easier.
-
-
-If you want to be able to follow the development branch as it changes
-just replace the last step with (make sure you have **setuptools**
-installed)::
-
-  > python setup.py develop
-
-This creates links in the right places and installs the command
-line script to the appropriate places.
-
-.. note::
-   Mac OSX users please see the :ref:`build_osx` guide.
-
-   Windows users please see the :ref:`build_windows` guide.
-
-Then, if you want to update your matplotlib at any time, just do::
-
-  > git pull
-
-When you run `git pull`, if the output shows that only Python files have been
-updated, you are all set. If C files have changed, you need to run the `python
-setup.py develop` command again to compile them.
-
-There is more information on :ref:`using git <using-git>` in
-the developer docs.
-
-
-Linux Notes
-===========
-
-Because most Linux distributions use some sort of package manager,
-we do not provide a pre-built binary for the Linux platform.
-Instead, we recommend that you use the "Add Software" method for
-your system to install matplotlib. This will guarantee that everything
-that is needed for matplotlib will be installed as well.
-
-If, for some reason, you can not use the package manager, Linux usually
-comes with at least a basic build system. Follow the :ref:`instructions
-<install-from-git>` found above for how to build and install matplotlib.
-
-
-OS-X Notes
-==========
-
-.. _which-python-for-osx:
-
-Which python for OS X?
-----------------------
-
-Apple ships OS X with its own Python, in ``/usr/bin/python``, and its own copy
-of matplotlib. Unfortunately, the way Apple currently installs its own copies
-of numpy, scipy and matplotlib means that these packages are difficult to
-upgrade (see `system python packages`_).  For that reason we strongly suggest
-that you install a fresh version of Python and use that as the basis for
-installing libraries such as numpy and matplotlib.  One convenient way to
-install matplotlib with other useful Python software is to use one of the
-excellent Python scientific software collections that are now available:
-
-.. _system python packages:
-    https://github.com/MacPython/wiki/wiki/Which-Python#system-python-and-extra-python-packages
-
-- Anaconda_ from `Continuum Analytics`_
-- Canopy_ from Enthought_
-
-.. _Canopy: https://enthought.com/products/canopy/
-.. _Anaconda: https://store.continuum.io/cshop/anaconda/
-.. _Enthought: http://enthought.com
-.. _Continuum Analytics: http://continuum.io
-
-These collections include Python itself and a wide range of libraries; if you
-need a library that is not available from the collection, you can install it
-yourself using standard methods such as *pip*.  Continuum and Enthought offer
-their own installation support for these collections; see the Ananconda and
-Canopy web pages for more information.
-
-Other options for a fresh Python install are the standard installer from
-`python.org <https://www.python.org/downloads/mac-osx/>`_, or installing
-Python using a general OSX package management system such as `homebrew
-<http://brew.sh>`_ or `macports <http://www.macports.org>`_.  Power users on
-OSX will likely want one of homebrew or macports on their system to install
-open source software packages, but it is perfectly possible to use these
-systems with another source for your Python binary, such as Anaconda, Canopy
-or Python.org Python.
-
-.. _install_osx_binaries:
-
-Installing OSX binary wheels
-----------------------------
-
-If you are using recent Python from http://www.python.org, Macports or
-Homebrew, then you can use the standard pip installer to install matplotlib
-binaries in the form of wheels.
-
-Python.org Python
-^^^^^^^^^^^^^^^^^
-
-Install pip following the `standard pip install instructions
-<http://pip.readthedocs.org/en/latest/installing.html>`_.  For the impatient,
-open a new Terminal.app window and::
-
-    curl -O https://bootstrap.pypa.io/get-pip.py
-
-Then (Python 2.7)::
-
-    python get-pip.py
-
-or (Python 3)::
-
-    python3 get-pip.py
-
-You can now install matplotlib and all its dependencies with::
-
-    pip install matplotlib
-
-Macports
-^^^^^^^^
-
-For Python 2.7::
-
-    sudo port install py27-pip
-    sudo pip-2.7 install matplotlib
-
-For Python 3.4::
-
-    sudo port install py34-pip
-    sudo pip-3.4 install matplotlib
-
-Homebrew
-^^^^^^^^
-
-For Python 2.7::
-
-    pip2 install matplotlib
-
-For Python 3.4::
-
-    pip3 install matplotlib
-
-You might also want to install IPython; we recommend you install IPython with
-the IPython notebook option, like this:
-
-* Python.org Python:  ``pip install ipython[notebook]``
-* Macports ``sudo pip-2.7 install ipython[notebook]`` or ``sudo pip-3.4
-  install ipython[notebook]``
-* Homebrew ``pip2 install ipython[notebook]`` or ``pip3 install
-  ipython[notebook]``
-
-Pip problems
-^^^^^^^^^^^^
-
-If you get errors with pip trying to run a compiler like ``gcc`` or ``clang``,
-then the first thing to try is to `install xcode
-<https://guide.macports.org/chunked/installing.html#installing.xcode>`_ and
-retry the install.  If that does not work, then check
-:ref:`reporting-problems`.
-
-Installing via OSX mpkg installer package
------------------------------------------
-
-matplotlib also has a disk image (``.dmg``) installer, which contains a
-typical Installer.app package to install matplotlib.  You should use binary
-wheels instead of the disk image installer if you can, because:
-
-* wheels work with Python.org Python, homebrew and macports, the disk image
-  installer only works with Python.org Python.
-* The disk image installer doesn't check for recent versions of packages that
-  matplotlib depends on, and unconditionally installs the versions of
-  dependencies contained in the disk image installer.  This can overwrite
-  packages that you have already installed, which might cause problems for
-  other packages, if you have a pre-existing Python.org setup on your
-  computer.
-
-If you still want to use the disk image installer, read on.
-
-.. note::
-   Before installing via the disk image installer, be sure that all of the
-   packages were compiled for the same version of python.  Often, the download
-   site for NumPy and matplotlib will display a supposed 'current' version of
-   the package, but you may need to choose a different package from the full
-   list that was built for your combination of python and OSX.
-
-The disk image installer will have a ``.dmg`` extension, and will have a name
-like :file:`matplotlib-1.4.0-py2.7-macosx10.6.dmg`.
-The name of the installer depends on the versions of python and matplotlib it
-was built for, and the version of OSX that the matching Python.org installer
-was built for.  For example, if the mathing Python.org Python installer was
-built for OSX 10.6 or greater, the dmg file will end in ``-macosx10.6.dmg``.
-You need to download this disk image file, open the disk image file by double
-clicking, and find the new matplotlib disk image icon on your desktop.  Double
-click on that icon to show the contents of the image.  Then double-click on
-the ``.mpkg`` icon, which will have a name like
-:file:`matplotlib-1.4.0-py2.7-macosx10.6.mpkg`, it will run the Installer.app,
-prompt you for a password if you need system-wide installation privileges, and
-install to a directory like
-:file:`/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages`
-(exact path depends on your Python version).
-
-Checking your installation
---------------------------
-
-The new version of matplotlib should now be on your Python "path".  Check this
-with one of these commands at the Terminal.app command line::
-
-  python2.7 -c 'import matplotlib; print matplotlib.__version__, matplotlib.__file__'
-
-(Python 2.7) or::
-
-  python3.4 -c 'import matplotlib; print(matplotlib.__version__, matplotlib.__file__)'
-
-(Python 3.4).  You should see something like this::
-
-  1.4.0 /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/__init__.pyc
-
-where ``1.4.0`` is the matplotlib version you just installed, and the path
-following depends on whether you are using Python.org Python, Homebrew or
-Macports.  If you see another version, or you get an error like this::
-
-    Traceback (most recent call last):
-      File "<string>", line 1, in <module>
-    ImportError: No module named matplotlib
-
-then check that the Python binary is the one you expected by doing one of
-these commands in Terminal.app::
-
-  which python2.7
-
-or::
-
-  which python3.4
-
-If you get the result ``/usr/bin/python2.7``, then you are getting the Python
-installed with OSX, which is probably not what you want.  Try closing and
-restarting Terminal.app before running the check again. If that doesn't fix
-the problem, depending on which Python you wanted to use, consider
-reinstalling Python.org Python, or check your homebrew or macports setup.
-Remember that the disk image installer only works for Python.org Python, and
-will not get picked up by other Pythons.  If all these fail, please let us
-know: see :ref:`reporting-problems`.
-
-Windows Notes
-=============
-
-We recommend you use one of the excellent python collections which include
-Python itself and a wide range of libraries including matplotlib:
-
-- Anaconda_ from `Continuum Analytics`_
-- Canopy_ from Enthought_
-- `Python (x, y) <https://code.google.com/p/pythonxy>`_
-
-Python (X, Y) is Windows-only, whereas Anaconda and Canopy are cross-platform.
-
-.. _windows-installers:
-
-Standalone binary installers for Windows
-----------------------------------------
-
-If you have already installed Python and numpy, you can use one of the
-matplotlib binary installers for windows -- you can get these from the
-`download <http://matplotlib.org/downloads.html>`_ site.  Chose the files with
-an ``.exe`` extension that match your version of Python (e.g., ``py2.7`` if you
-installed Python 2.7).  If you haven't already installed Python, you can get
-the official version from the `Python web site
-<http://python.org/download/>`_.
diff --git a/doc/faq/troubleshooting_faq.rst b/doc/faq/troubleshooting_faq.rst
deleted file mode 100644
index 5c3f6f299581..000000000000
--- a/doc/faq/troubleshooting_faq.rst
+++ /dev/null
@@ -1,163 +0,0 @@
-.. _troubleshooting-faq:
-
-***************
-Troubleshooting
-***************
-
-.. contents::
-   :backlinks: none
-
-.. _matplotlib-version:
-
-Obtaining matplotlib version
-============================
-
-To find out your matplotlib version number, import it and print the
-``__version__`` attribute::
-
-    >>> import matplotlib
-    >>> matplotlib.__version__
-    '0.98.0'
-
-
-.. _locating-matplotlib-install:
-
-:file:`matplotlib` install location
-===================================
-
-You can find what directory matplotlib is installed in by importing it
-and printing the ``__file__`` attribute::
-
-    >>> import matplotlib
-    >>> matplotlib.__file__
-    '/home/jdhunter/dev/lib64/python2.5/site-packages/matplotlib/__init__.pyc'
-
-.. _locating-matplotlib-config-dir:
-
-:file:`.matplotlib` directory location
-======================================
-
-Each user has a matplotlib configuration directory which may contain a
-:ref:`matplotlibrc <customizing-with-matplotlibrc-files>` file. To
-locate your :file:`.matplotlib/` directory, use
-:func:`matplotlib.get_configdir`::
-
-    >>> import matplotlib as mpl
-    >>> mpl.get_configdir()
-    '/home/darren/.matplotlib'
-
-On unix-like systems, this directory is generally located in your
-:envvar:`HOME` directory.  On windows, it is in your documents and
-settings directory by default::
-
-    >>> import matplotlib
-    >>> mpl.get_configdir()
-    'C:\\Documents and Settings\\jdhunter\\.matplotlib'
-
-If you would like to use a different configuration directory, you can
-do so by specifying the location in your :envvar:`MPLCONFIGDIR`
-environment variable -- see
-:ref:`setting-linux-osx-environment-variables`.
-
-
-.. _reporting-problems:
-
-Getting help
-============
-
-There are a number of good resources for getting help with matplotlib.
-There is a good chance your question has already been asked:
-
-  - The `mailing list archive <http://matplotlib.1069221.n5.nabble.com/>`_.
-
-  - `Github issues <https://github.com/matplotlib/matplotlib/issues>`_.
-
-  - Stackoverflow questions tagged `matplotlib
-    <http://stackoverflow.com/questions/tagged/matplotlib>`_.
-
-If you are unable to find an answer to your question through search,
-please provide the following information in your e-mail to the
-`mailing list
-<http://lists.sourceforge.net/mailman/listinfo/matplotlib-users>`_:
-
-  * your operating system; (Linux/UNIX users: post the output of ``uname -a``)
-
-  * matplotlib version::
-
-        python -c `import matplotlib; print matplotlib.__version__`
-
-  * where you obtained matplotlib (e.g., your Linux distribution's
-    packages or the matplotlib Sourceforge site, or
-    Anaconda_ or
-    `Enthought Canopy <https://www.enthought.com/products/canopy/>`_).
-
-.. _Anaconda: https://store.continuum.io/cshop/anaconda/
-
-
-  * any customizations to your ``matplotlibrc`` file (see
-    :ref:`customizing-matplotlib`).
-
-  * if the problem is reproducible, please try to provide a *minimal*,
-    standalone Python script that demonstrates the problem.  This is
-    *the* critical step.  If you can't post a piece of code that we
-    can run and reproduce your error, the chances of getting help are
-    significantly diminished.  Very often, the mere act of trying to
-    minimize your code to the smallest bit that produces the error
-    will help you find a bug in *your* code that is causing the
-    problem.
-
-  * you can get very helpful debugging output from matlotlib by
-    running your script with a ``verbose-helpful`` or
-    ``--verbose-debug`` flags and posting the verbose output the
-    lists::
-
-        > python simple_plot.py --verbose-helpful > output.txt
-
-If you compiled matplotlib yourself, please also provide
-
-  * any changes you have made to ``setup.py`` or ``setupext.py``
-  * the output of::
-
-      rm -rf build
-      python setup.py build
-
-    The beginning of the build output contains lots of details about your
-    platform that are useful for the matplotlib developers to diagnose
-    your problem.
-
-  * your compiler version -- e.g., ``gcc --version``
-
-Including this information in your first e-mail to the mailing list
-will save a lot of time.
-
-You will likely get a faster response writing to the mailing list than
-filing a bug in the bug tracker.  Most developers check the bug
-tracker only periodically.  If your problem has been determined to be
-a bug and can not be quickly solved, you may be asked to file a bug in
-the tracker so the issue doesn't get lost.
-
-
-.. _git-trouble:
-
-Problems with recent git versions
-=================================
-
-First make sure you have a clean build and install (see
-:ref:`clean-install`), get the latest git update, install it and run a
-simple test script in debug mode::
-
-    rm -rf build
-    rm -rf /path/to/site-packages/matplotlib*
-    git pull
-    python setup.py install > build.out
-    python examples/pylab_examples/simple_plot.py --verbose-debug > run.out
-
-and post :file:`build.out` and :file:`run.out` to the
-`matplotlib-devel
-<http://lists.sourceforge.net/mailman/listinfo/matplotlib-devel>`_
-mailing list (please do not post git problems to the `users list
-<http://lists.sourceforge.net/mailman/listinfo/matplotlib-users>`_).
-
-Of course, you will want to clearly describe your problem, what you
-are expecting and what you are getting, but often a clean build and
-install will help.  See also :ref:`reporting-problems`.
diff --git a/doc/faq/usage_faq.rst b/doc/faq/usage_faq.rst
deleted file mode 100644
index c03454adbf2f..000000000000
--- a/doc/faq/usage_faq.rst
+++ /dev/null
@@ -1,570 +0,0 @@
-.. _usage-faq:
-
-***************
-Usage
-***************
-
-.. contents::
-   :backlinks: none
-
-
-.. _general_concepts:
-
-General Concepts
-================
-
-:mod:`matplotlib` has an extensive codebase that can be daunting to many
-new users. However, most of matplotlib can be understood with a fairly
-simple conceptual framework and knowledge of a few important points.
-
-Plotting requires action on a range of levels, from the most general
-(e.g., 'contour this 2-D array') to the most specific (e.g., 'color
-this screen pixel red'). The purpose of a plotting package is to assist
-you in visualizing your data as easily as possible, with all the necessary
-control -- that is, by using relatively high-level commands most of
-the time, and still have the ability to use the low-level commands when
-needed.
-
-Therefore, everything in matplotlib is organized in a hierarchy. At the top
-of the hierarchy is the matplotlib "state-machine environment" which is
-provided by the :mod:`matplotlib.pyplot` module. At this level, simple
-functions are used to add plot elements (lines, images, text, etc.) to
-the current axes in the current figure.
-
-.. note::
-   Pyplot's state-machine environment behaves similarly to MATLAB and
-   should be most familiar to users with MATLAB experience.
-
-The next level down in the hierarchy is the first level of the object-oriented
-interface, in which pyplot is used only for a few functions such as figure
-creation, and the user explicitly creates and keeps track of the figure
-and axes objects. At this level, the user uses pyplot to create figures,
-and through those figures, one or more axes objects can be created. These
-axes objects are then used for most plotting actions.
-
-For even more control -- which is essential for things like embedding
-matplotlib plots in GUI applications -- the pyplot level may be dropped
-completely, leaving a purely object-oriented approach.
-
-.. _figure_parts:
-
-Parts of a Figure
-=================
-.. image:: fig_map.png
-
-:class:`~matplotlib.figure.Figure`
-----------------------------------
-
-The **whole** figure (marked as the outer red box).  The figure keeps
-track of all the child :class:`~matplotlib.axes.Axes`, a smattering of
-'special' artists (titles, figure legends, etc), and the **canvas**.
-(Don't worry too much about the canvas, it is crucial as it is the
-object that actually does the drawing to get you your plot, but as the
-user it is more-or-less invisible to you).  A figure can have any
-number of :class:`~matplotlib.axes.Axes`, but to be useful should have
-at least one.
-
-The easiest way to create a new figure is with pyplot::
-
-    fig = plt.figure()  # an empty figure with no axes
-    fig, ax_lst = plt.subplots(2, 2)  # a figure with a 2x2 grid of Axes
-
-
-:class:`~matplotlib.axes.Axes`
-------------------------------
-
-This is what you think of as 'a plot', it is the region of the image
-with the data space (marked as the inner blue box).  A given figure
-can contain many Axes, but a given :class:`~matplotlib.axes.Axes`
-object can only be in one :class:`~matplotlib.figure.Figure`.  The
-Axes contains two (or three in the case of 3D)
-:class:`~matplotlib.axis.Axis` objects (be aware of the difference
-between **Axes** and **Axis**) which take care of the data limits (the
-data limits can also be controlled via set via the
-:meth:`~matplotlib.axes.Axes.set_xlim` and
-:meth:`~matplotlib.axes.Axes.set_ylim` :class:`Axes` methods).  Each
-:class:`Axes` has a title (set via
-:meth:`~matplotlib.axes.Axes.set_title`), an x-label (set via
-:meth:`~matplotlib.axes.Axes.set_xlabel`), and a y-label set via
-:meth:`~matplotlib.axes.Axes.set_ylabel`).
-
-The :class:`Axes` class and it's member functions are the primary entry
-point to working with the OO interface.
-
-:class:`~matplotlib.axis.Axis`
-------------------------------
-
-These are the number-line-like objects (circled in green).  They take
-care of setting the graph limits and generating the ticks (the marks
-on the axis) and ticklabels (strings labeling the ticks).  The
-location of the ticks is determined by a
-:class:`~matplotlib.ticker.Locator` object and the ticklabel strings
-are formatted by a :class:`~matplotlib.ticker.Formatter`.  The
-combination of the correct :class:`Locator` and :class:`Formatter` gives
-very fine control over the tick locations and labels.
-
-:class:`~matplotlib.artist.Artist`
-----------------------------------
-
-Basically everything you can see on the figure is an artist (even the
-:class:`Figure`, :class:`Axes`, and :class:`Axis` objects).  This
-includes :class:`Text` objects, :class:`Line2D` objects,
-:class:`collection` objects, :class:`Patch` objects ... (you get the
-idea).  When the figure is rendered, all of the artists are drawn to
-the **canvas**.  Most Artists are tied to an Axes; such an Artist
-cannot be shared by multiple Axes, or moved from one to another.
-
-.. _input_types:
-
-Types of inputs to plotting functions
-=====================================
-
-All of plotting functions expect `np.array` or `np.ma.masked_array` as
-input.  Classes that are 'array-like' such as `pandas` data objects
-and `np.matrix` may or may not work as intended.  It is best to
-convert these to `np.array` objects prior to plotting.
-
-For example, to covert a `pandas.DataFrame` ::
-
-  a = pandas.DataFrame(np.random.rand(4,5), columns = list('abcde'))
-  a_asndarray = a.values
-
-and to covert a `np.matrix` ::
-
-  b = np.matrix([[1,2],[3,4]])
-  b_asarray = np.asarray(b)
-
-
-
-.. _pylab:
-
-Matplotlib, pyplot and pylab: how are they related?
-====================================================
-
-Matplotlib is the whole package; :mod:`matplotlib.pyplot`
-is a module in matplotlib; and :mod:`pylab` is a module
-that gets installed alongside :mod:`matplotlib`.
-
-Pyplot provides the state-machine interface to the underlying
-object-oriented plotting library.  The state-machine implicitly and
-automatically creates figures and axes to achieve the desired
-plot. For example::
-
-
-      import matplotlib.pyplot as plt
-      import numpy as np
-
-      x = np.linspace(0, 2, 100)
-
-      plt.plot(x, x, label='linear')
-      plt.plot(x, x**2, label='quadratic')
-      plt.plot(x, x**3, label='cubic')
-
-      plt.xlabel('x label')
-      plt.ylabel('y label')
-
-      plt.title("Simple Plot")
-
-      plt.legend()
-
-      plt.show()
-
-The first call to ``plt.plot`` will automatically create the necessary
-figure and axes to achieve the desired plot.  Subsequent calls to
-``plt.plot`` re-use the current axes and each add another line.
-Setting the title, legend, and axis labels also automatically use the
-current axes and set the title, create the legend, and label the axis
-respectively.
-
-:mod:`pylab` is a convenience module that bulk imports
-:mod:`matplotlib.pyplot` (for plotting) and :mod:`numpy`
-(for mathematics and working with arrays) in a single name space.
-Although many examples use :mod:`pylab`, it is no longer recommended.
-
-For non-interactive plotting it is suggested
-to use pyplot to create the figures and then the OO interface for
-plotting.
-
-.. _coding_styles:
-
-Coding Styles
-==================
-
-When viewing this documentation and examples, you will find different
-coding styles and usage patterns. These styles are perfectly valid
-and have their pros and cons. Just about all of the examples can be
-converted into another style and achieve the same results.
-The only caveat is to avoid mixing the coding styles for your own code.
-
-.. note::
-   Developers for matplotlib have to follow a specific style and guidelines.
-   See :ref:`developers-guide-index`.
-
-Of the different styles, there are two that are officially supported.
-Therefore, these are the preferred ways to use matplotlib.
-
-For the pyplot style, the imports at the top of your
-scripts will typically be::
-
-    import matplotlib.pyplot as plt
-    import numpy as np
-
-Then one calls, for example, np.arange, np.zeros, np.pi, plt.figure,
-plt.plot, plt.show, etc.  Use the pyplot interface
-for creating figures, and then use the object methods for the rest::
-
-    import matplotlib.pyplot as plt
-    import numpy as np
-    x = np.arange(0, 10, 0.2)
-    y = np.sin(x)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(x, y)
-    plt.show()
-
-So, why all the extra typing instead of the MATLAB-style (which relies
-on global state and a flat namespace)?  For very simple things like
-this example, the only advantage is academic: the wordier styles are
-more explicit, more clear as to where things come from and what is
-going on.  For more complicated applications, this explicitness and
-clarity becomes increasingly valuable, and the richer and more
-complete object-oriented interface will likely make the program easier
-to write and maintain.
-
-
-Typically one finds oneself making the same plots over and over
-again, but with different data sets, which leads to needing to write
-specialized functions to do the plotting.  The recommended function
-signature is something like: ::
-
-    def my_plotter(ax, data1, data2, param_dict):
-        """
-        A helper function to make a graph
-
-        Parameters
-        ----------
-        ax : Axes
-            The axes to draw to
-
-        data1 : array
-           The x data
-
-        data2 : array
-           The y data
-
-        param_dict : dict
-           Dictionary of kwargs to pass to ax.plot
-
-        Returns
-        -------
-        out : list
-            list of artists added
-        """
-        out = ax.plot(data1, data2, **param_dict)
-        return out
-
-which you would then use as::
-
-    fig, ax = plt.subplots(1, 1)
-    my_plotter(ax, data1, data2, {'marker':'x'})
-
-
-or if you wanted to have 2 sub-plots::
-
-    fig, (ax1, ax2) = plt.subplots(1, 2)
-    my_plotter(ax1, data1, data2, {'marker':'x'})
-    my_plotter(ax2, data3, data4, {'marker':'o'})
-
-Again, for these simple examples this style seems like overkill, however
-once the graphs get slightly more complex it pays off.
-
-.. _what-is-a-backend:
-
-What is a backend?
-==================
-
-A lot of documentation on the website and in the mailing lists refers
-to the "backend" and many new users are confused by this term.
-matplotlib targets many different use cases and output formats.  Some
-people use matplotlib interactively from the python shell and have
-plotting windows pop up when they type commands.  Some people embed
-matplotlib into graphical user interfaces like wxpython or pygtk to
-build rich applications.  Others use matplotlib in batch scripts to
-generate postscript images from some numerical simulations, and still
-others in web application servers to dynamically serve up graphs.
-
-To support all of these use cases, matplotlib can target different
-outputs, and each of these capabilities is called a backend; the
-"frontend" is the user facing code, i.e., the plotting code, whereas the
-"backend" does all the hard work behind-the-scenes to make the figure.
-There are two types of backends: user interface backends (for use in
-pygtk, wxpython, tkinter, qt4, or macosx; also referred to as
-"interactive backends") and hardcopy backends to make image files
-(PNG, SVG, PDF, PS; also referred to as "non-interactive backends").
-
-There are a two primary ways to configure your backend.  One is to set
-the ``backend`` parameter in your ``matplotlibrc`` file (see
-:ref:`customizing-matplotlib`)::
-
-    backend : WXAgg   # use wxpython with antigrain (agg) rendering
-
-The other is to use the matplotlib :func:`~matplotlib.use` directive::
-
-    import matplotlib
-    matplotlib.use('PS')   # generate postscript output by default
-
-If you use the ``use`` directive, this must be done before importing
-:mod:`matplotlib.pyplot` or :mod:`matplotlib.pylab`.
-
-.. note::
-   Backend name specifications are not case-sensitive; e.g., 'GTKAgg'
-   and 'gtkagg' are equivalent.
-
-With a typical installation of matplotlib, such as from a
-binary installer or a linux distribution package, a good default
-backend will already be set, allowing both interactive work and
-plotting from scripts, with output to the screen and/or to
-a file, so at least initially you will not need to use either of the
-two methods given above.
-
-If, however, you want to write graphical user interfaces, or a web
-application server (:ref:`howto-webapp`), or need a better
-understanding of what is going on, read on. To make things a little
-more customizable for graphical user interfaces, matplotlib separates
-the concept of the renderer (the thing that actually does the drawing)
-from the canvas (the place where the drawing goes).  The canonical
-renderer for user interfaces is ``Agg`` which uses the `Anti-Grain
-Geometry`_ C++ library to make a raster (pixel) image of the figure.
-All of the user interfaces except ``macosx`` can be used with
-agg rendering, e.g.,
-``WXAgg``, ``GTKAgg``, ``QT4Agg``, ``TkAgg``.  In
-addition, some of the user interfaces support other rendering engines.
-For example, with GTK, you can also select GDK rendering (backend
-``GTK``) or Cairo rendering (backend ``GTKCairo``).
-
-For the rendering engines, one can also distinguish between `vector
-<http://en.wikipedia.org/wiki/Vector_graphics>`_ or `raster
-<http://en.wikipedia.org/wiki/Raster_graphics>`_ renderers.  Vector
-graphics languages issue drawing commands like "draw a line from this
-point to this point" and hence are scale free, and raster backends
-generate a pixel representation of the line whose accuracy depends on a
-DPI setting.
-
-Here is a summary of the matplotlib renderers (there is an eponymous
-backed for each; these are *non-interactive backends*, capable of
-writing to a file):
-
-=============   ============   ================================================
-Renderer        Filetypes      Description
-=============   ============   ================================================
-:term:`AGG`     :term:`png`    :term:`raster graphics` -- high quality images
-                               using the `Anti-Grain Geometry`_ engine
-PS              :term:`ps`     :term:`vector graphics` -- Postscript_ output
-                :term:`eps`
-PDF             :term:`pdf`    :term:`vector graphics` --
-                               `Portable Document Format`_
-SVG             :term:`svg`    :term:`vector graphics` --
-                               `Scalable Vector Graphics`_
-:term:`Cairo`   :term:`png`    :term:`vector graphics` --
-                :term:`ps`     `Cairo graphics`_
-                :term:`pdf`
-                :term:`svg`
-                ...
-:term:`GDK`     :term:`png`    :term:`raster graphics` --
-                :term:`jpg`    the `Gimp Drawing Kit`_
-                :term:`tiff`
-                ...
-=============   ============   ================================================
-
-And here are the user interfaces and renderer combinations supported;
-these are *interactive backends*, capable of displaying to the screen
-and of using appropriate renderers from the table above to write to
-a file:
-
-============   ================================================================
-Backend        Description
-============   ================================================================
-GTKAgg         Agg rendering to a :term:`GTK` 2.x canvas (requires PyGTK_)
-GTK3Agg        Agg rendering to a :term:`GTK` 3.x canvas (requires PyGObject_)
-GTK            GDK rendering to a :term:`GTK` 2.x canvas (not recommended)
-               (requires PyGTK_)
-GTKCairo       Cairo rendering to a :term:`GTK` 2.x canvas (requires PyGTK_
-               and pycairo_)
-GTK3Cairo      Cairo rendering to a :term:`GTK` 3.x canvas (requires PyGObject_
-               and pycairo_)
-WXAgg          Agg rendering to to a :term:`wxWidgets` canvas
-               (requires wxPython_)
-WX             Native :term:`wxWidgets` drawing to a :term:`wxWidgets` Canvas
-               (not recommended) (requires wxPython_)
-TkAgg          Agg rendering to a :term:`Tk` canvas (requires TkInter_)
-Qt4Agg         Agg rendering to a :term:`Qt4` canvas (requires PyQt4_)
-macosx         Cocoa rendering in OSX windows
-               (presently lacks blocking show() behavior when matplotlib
-               is in non-interactive mode)
-============   ================================================================
-
-.. _`Anti-Grain Geometry`: http://agg.sourceforge.net/antigrain.com/index.html
-.. _Postscript: http://en.wikipedia.org/wiki/PostScript
-.. _`Portable Document Format`: http://en.wikipedia.org/wiki/Portable_Document_Format
-.. _`Scalable Vector Graphics`: http://en.wikipedia.org/wiki/Scalable_Vector_Graphics
-.. _`Cairo graphics`: http://en.wikipedia.org/wiki/Cairo_(graphics)
-.. _`Gimp Drawing Kit`: http://en.wikipedia.org/wiki/GDK
-.. _PyGTK: http://www.pygtk.org
-.. _PyGObject: https://live.gnome.org/PyGObject
-.. _pycairo: http://www.cairographics.org/pycairo/
-.. _wxPython: http://www.wxpython.org/
-.. _TkInter: http://wiki.python.org/moin/TkInter
-.. _PyQt4: http://www.riverbankcomputing.co.uk/software/pyqt/intro
-
-How do I select PyQt4 or PySide?
-========================================
-
-You can choose either PyQt4 or PySide when using the `qt4` backend by setting
-the appropriate value for `backend.qt4` in your :file:`matplotlibrc` file. The
-default value is `PyQt4`.
-
-The setting in your :file:`matplotlibrc` file can be overridden by setting the
-`QT_API` environment variable to either `pyqt` or `pyside` to use `PyQt4` or
-`PySide`, respectively.
-
-Since the default value for the bindings to be used is `PyQt4`,
-:mod:`matplotlib` first tries to import it, if the import fails, it tries to
-import `PySide`.
-
-.. _interactive-mode:
-
-What is interactive mode?
-===================================
-
-Use of an interactive backend (see :ref:`what-is-a-backend`)
-permits--but does not by itself require or ensure--plotting
-to the screen.  Whether and when plotting to the screen occurs,
-and whether a script or shell session continues after a plot
-is drawn on the screen, depends on the functions and methods
-that are called, and on a state variable that determines whether
-matplotlib is in "interactive mode".  The default Boolean value is set
-by the :file:`matplotlibrc` file, and may be customized like any other
-configuration parameter (see :ref:`customizing-matplotlib`).  It
-may also be set via :func:`matplotlib.interactive`, and its
-value may be queried via :func:`matplotlib.is_interactive`.  Turning
-interactive mode on and off in the middle of a stream of plotting
-commands, whether in a script or in a shell, is rarely needed
-and potentially confusing, so in the following we will assume all
-plotting is done with interactive mode either on or off.
-
-.. note::
-   Major changes related to interactivity, and in particular the
-   role and behavior of :func:`~matplotlib.pyplot.show`, were made in the
-   transition to matplotlib version 1.0, and bugs were fixed in
-   1.0.1.  Here we describe the version 1.0.1 behavior for the
-   primary interactive backends, with the partial exception of
-   *macosx*.
-
-Interactive mode may also be turned on via :func:`matplotlib.pyplot.ion`,
-and turned off via :func:`matplotlib.pyplot.ioff`.
-
-.. note::
-   Interactive mode works with suitable backends in ipython and in
-   the ordinary python shell, but it does *not* work in the IDLE IDE.
-
-
-Interactive example
---------------------
-
-From an ordinary python prompt, or after invoking ipython with no options,
-try this::
-
-    import matplotlib.pyplot as plt
-    plt.ion()
-    plt.plot([1.6, 2.7])
-
-Assuming you are running version 1.0.1 or higher, and you have
-an interactive backend installed and selected by default, you should
-see a plot, and your terminal prompt should also be active; you
-can type additional commands such as::
-
-    plt.title("interactive test")
-    plt.xlabel("index")
-
-and you will see the plot being updated after each line.  This is
-because you are in interactive mode *and* you are using pyplot
-functions.  Now try an alternative method of modifying the
-plot.  Get a
-reference to the :class:`~matplotlib.axes.Axes` instance, and
-call a method of that instance::
-
-    ax = plt.gca()
-    ax.plot([3.1, 2.2])
-
-Nothing changed, because the Axes methods do not include an
-automatic call to :func:`~matplotlib.pyplot.draw_if_interactive`;
-that call is added by the pyplot functions.  If you are using
-methods, then when you want to update the plot on the screen,
-you need to call :func:`~matplotlib.pyplot.draw`::
-
-    plt.draw()
-
-Now you should see the new line added to the plot.
-
-Non-interactive example
------------------------
-
-Start a fresh session as in the previous example, but now
-turn interactive mode off::
-
-    import matplotlib.pyplot as plt
-    plt.ioff()
-    plt.plot([1.6, 2.7])
-
-Nothing happened--or at least nothing has shown up on the
-screen (unless you are using *macosx* backend, which is
-anomalous).  To make the plot appear, you need to do this::
-
-    plt.show()
-
-Now you see the plot, but your terminal command line is
-unresponsive; the :func:`show()` command *blocks* the input
-of additional commands until you manually kill the plot
-window.
-
-What good is this--being forced to use a blocking function?
-Suppose you need a script that plots the contents of a file
-to the screen.  You want to look at that plot, and then end
-the script.  Without some blocking command such as show(), the
-script would flash up the plot and then end immediately,
-leaving nothing on the screen.
-
-In addition, non-interactive mode delays all drawing until
-show() is called; this is more efficient than redrawing
-the plot each time a line in the script adds a new feature.
-
-Prior to version 1.0, show() generally could not be called
-more than once in a single script (although sometimes one
-could get away with it); for version 1.0.1 and above, this
-restriction is lifted, so one can write a script like this::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-    plt.ioff()
-    for i in range(3):
-        plt.plot(np.random.rand(10))
-        plt.show()
-
-which makes three plots, one at a time.
-
-Summary
--------
-
-In interactive mode, pyplot functions automatically draw
-to the screen.
-
-When plotting interactively, if using
-object method calls in addition to pyplot functions, then
-call :func:`~matplotlib.pyplot.draw` whenever you want to
-refresh the plot.
-
-Use non-interactive mode in scripts in which you want to
-generate one or more figures and display them before ending
-or generating a new set of figures.  In that case, use
-:func:`~matplotlib.pyplot.show` to display the figure(s) and
-to block execution until you have manually destroyed them.
diff --git a/doc/glossary/index.rst b/doc/glossary/index.rst
deleted file mode 100644
index c0d9809a6162..000000000000
--- a/doc/glossary/index.rst
+++ /dev/null
@@ -1,148 +0,0 @@
-
-.. _glossary:
-
-********
-Glossary
-********
-
-.. glossary::
-
-  AGG
-      The Anti-Grain Geometry (`Agg <http://agg.sourceforge.net/antigrain.com/index.html>`_) rendering engine, capable of rendering
-      high-quality images
-
-  Cairo
-      The `Cairo graphics <http://cairographics.org>`_ engine
-
-
-  dateutil
-      The `dateutil <http://labix.org/python-dateutil>`_ library
-      provides extensions to the standard datetime module
-
-  EPS
-      Encapsulated Postscript (`EPS <http://en.wikipedia.org/wiki/Encapsulated_PostScript>`_)
-
-  freetype
-      `freetype <http://www.freetype.org/>`_ is a font rasterization
-      library used by matplotlib which supports TrueType, Type 1, and
-      OpenType fonts.
-
-
-  GDK
-      The Gimp Drawing Kit for GTK+
-
-  GTK
-      The GIMP Toolkit (`GTK <http://www.gtk.org/>`_) graphical user interface library
-
-  JPG
-      The Joint Photographic Experts Group (`JPEG
-      <http://en.wikipedia.org/wiki/Jpeg>`_) compression method and
-      file format for photographic images
-
-  numpy
-      `numpy <http://numpy.scipy.org>`_ is the standard numerical
-      array library for python, the successor to Numeric and numarray.
-      numpy provides fast operations for homogeneous data sets and
-      common mathematical operations like correlations, standard
-      deviation, fourier transforms, and convolutions.
-
-  PDF
-      Adobe's Portable Document Format (`PDF <http://en.wikipedia.org/wiki/Portable_Document_Format>`_)
-
-  PNG
-      Portable Network Graphics (`PNG
-      <http://en.wikipedia.org/wiki/Portable_Network_Graphics>`_), a raster graphics format
-      that employs lossless data compression which is more suitable
-      for line art than the lossy jpg format. Unlike the gif format,
-      png is not encumbered by requirements for a patent license.
-
-  PS
-      Postscript (`PS <http://en.wikipedia.org/wiki/PostScript>`_) is a
-      vector graphics ASCII text language widely used in printers and
-      publishing.  Postscript was developed by adobe systems and is
-      starting to show its age: for example is does not have an alpha
-      channel.  PDF was designed in part as a next-generation document
-      format to replace postscript
-
-  pygtk
-      `pygtk <http://www.pygtk.org/>`_ provides python wrappers for
-      the :term:`GTK` widgets library for use with the GTK or GTKAgg
-      backend.  Widely used on linux, and is often packages as
-      'python-gtk2'
-
-  pyqt
-      `pyqt <http://wiki.python.org/moin/PyQt>`_ provides python
-      wrappers for the :term:`Qt` widgets library and is required by
-      the matplotlib QtAgg and Qt4Agg backends.  Widely used on linux
-      and windows; many linux distributions package this as
-      'python-qt3' or 'python-qt4'.
-
-  python
-      `python <http://python.org>`_ is an object oriented interpreted
-      language widely used for scripting, application development, web
-      application servers, scientific computing and more.
-
-
-  pytz
-      `pytz <http://pytz.sourceforge.net/>`_ provides the Olson tz
-      database in Python. it allows accurate and cross platform
-      timezone calculations and solves the issue of ambiguous times at
-      the end of daylight savings
-
-
-  Qt
-      `Qt <http://trolltech.com/products/qt/>`__ is a cross-platform
-      application framework for desktop and embedded development.
-
-  Qt4
-      `Qt4 <http://trolltech.com/products/qt/>`__ is the most recent
-      version of Qt cross-platform application framework for desktop
-      and embedded development.
-
-  raster graphics
-      `Raster graphics
-      <http://en.wikipedia.org/wiki/Raster_graphics>`_, or bitmaps,
-      represent an image as an array of pixels which is resolution
-      dependent. Raster graphics are generally most practical for
-      photo-realistic images, but do not scale easily without loss of
-      quality.
-
-  SVG
-      The Scalable Vector Graphics format (`SVG
-      <http://en.wikipedia.org/wiki/Svg>`_).  An XML based vector
-      graphics format supported by many web browsers.
-
-  TIFF
-      Tagged Image File Format (`TIFF
-      <http://en.wikipedia.org/wiki/Tagged_Image_File_Format>`_) is a
-      file format for storing images, including photographs and line
-      art.
-
-  Tk
-      `Tk <http://www.tcl.tk/>`_ is a graphical user interface for Tcl
-      and many other dynamic languages. It can produce rich, native
-      applications that run unchanged across Windows, Mac OS X, Linux
-      and more.
-
-  vector graphics
-      `vector graphics
-      <http://en.wikipedia.org/wiki/Vector_graphics>`_ use geometrical
-      primitives based upon mathematical equations to represent images
-      in computer graphics. Primitives can include points, lines,
-      curves, and shapes or polygons. Vector graphics are scalable,
-      which means that they can be resized without suffering from
-      issues related to inherent resolution like are seen in raster
-      graphics. Vector graphics are generally most practical for
-      typesetting and graphic design applications.
-
-  wxpython
-      `wxpython <http://www.wxpython.org/>`_ provides python wrappers
-      for the :term:`wxWidgets` library for use with the WX and WXAgg
-      backends.  Widely used on linux, OS-X and windows, it is often
-      packaged by linux distributions as 'python-wxgtk'
-
-  wxWidgets
-      `WX <http://www.wxwidgets.org/>`_ is cross-platform GUI and
-      tools library for GTK, MS Windows, and MacOS.  It uses native
-      widgets for each operating system, so applications will have the
-      look-and-feel that users on that operating system expect.
diff --git a/doc/index.rst b/doc/index.rst
new file mode 100644
index 000000000000..74a183d6cd7b
--- /dev/null
+++ b/doc/index.rst
@@ -0,0 +1,205 @@
+.. title:: Matplotlib documentation
+
+.. module:: matplotlib
+
+
+##################################
+Matplotlib |release| documentation
+##################################
+
+
+Matplotlib is a comprehensive library for creating static, animated,
+and interactive visualizations.
+
+Install
+=======
+
+.. tab-set::
+    :class: sd-width-content-min
+
+    .. tab-item:: pip
+
+        .. code-block:: bash
+
+            pip install matplotlib
+
+    .. tab-item:: conda
+
+        .. code-block:: bash
+
+            conda install -c conda-forge matplotlib
+
+    .. tab-item:: pixi
+
+        .. code-block:: bash
+
+            pixi add matplotlib
+
+    .. tab-item:: uv
+
+        .. code-block:: bash
+
+            uv add matplotlib
+
+        .. warning::
+
+           If you install Python with ``uv`` then the ``tkagg`` backend
+           will not be available because python-build-standalone (used by uv
+           to distribute Python) does not contain tk bindings that are usable by
+           Matplotlib (see `this issue`_ for details).  If you want Matplotlib
+           to be able to display plots in a window, you should install one of
+           the other :ref:`supported GUI frameworks <optional_dependencies>`,
+           e.g.
+
+           .. code-block:: bash
+
+               uv add matplotlib pyside6
+
+           .. _this issue: https://github.com/astral-sh/uv/issues/6893#issuecomment-2565965851
+
+    .. tab-item:: other
+
+        .. rst-class:: section-toc
+        .. toctree::
+            :maxdepth: 2
+
+            install/index
+
+For more detailed instructions, see the
+:doc:`installation guide <install/index>`.
+
+Learn
+=====
+
+.. grid:: 1 1 2 2
+
+    .. grid-item-card::
+        :padding: 2
+        :columns: 6
+
+        **How to use Matplotlib?**
+        ^^^
+        .. toctree::
+            :maxdepth: 1
+
+            users/explain/quick_start
+            User guide <users/index.rst>
+            tutorials/index.rst
+            users/faq.rst
+
+    .. grid-item-card::
+        :padding: 2
+        :columns: 6
+
+        **What can Matplotlib do?**
+        ^^^
+        .. toctree::
+            :maxdepth: 1
+
+            plot_types/index.rst
+            gallery/index.rst
+
+
+    .. grid-item-card::
+        :padding: 2
+        :columns: 12
+
+        **Reference**
+        ^^^
+
+        .. grid:: 1 1 2 2
+            :class-row: sd-align-minor-center
+
+            .. grid-item::
+
+                .. toctree::
+                    :maxdepth: 1
+
+                    API reference <api/index>
+                    Figure methods <api/figure_api>
+                    Plotting methods <api/axes_api>
+
+
+            .. grid-item::
+
+                Top-level interfaces to create:
+
+                - figures: `.pyplot.figure`
+                - subplots: `.pyplot.subplots`, `.pyplot.subplot_mosaic`
+
+Community
+=========
+
+.. grid:: 1 1 2 2
+    :class-row: sd-align-minor-center
+
+    .. grid-item::
+
+        .. rst-class:: section-toc
+        .. toctree::
+            :maxdepth: 2
+
+            users/resources/index.rst
+
+    .. grid-item::
+
+        :octicon:`link-external;1em;sd-text-info` `Third-party packages <https://matplotlib.org/mpl-third-party/>`_,
+
+        provide custom, domain specific, and experimental features, including
+        styles, colors, more plot types and backends, and alternative
+        interfaces.
+
+What's new
+==========
+
+.. grid:: 1 1 2 2
+
+    .. grid-item::
+
+       Learn about new features and API changes.
+
+    .. grid-item::
+
+        .. toctree::
+            :maxdepth: 1
+
+            users/release_notes.rst
+
+
+Contribute
+==========
+
+.. grid:: 1 1 2 2
+    :class-row: sd-align-minor-center
+
+    .. grid-item::
+
+        Matplotlib is a community project maintained for and by its users. See
+        :ref:`developers-guide-index` for the many ways you can help!
+
+    .. grid-item::
+        .. rst-class:: section-toc
+        .. toctree::
+            :maxdepth: 2
+
+            devel/index.rst
+
+About us
+========
+
+.. grid:: 1 1 2 2
+    :class-row: sd-align-minor-center
+
+    .. grid-item::
+
+        Matplotlib was created by neurobiologist John Hunter to work with EEG
+        data. It grew to be used and developed by many people in many
+        different fields. John's goal was that Matplotlib make easy things easy
+        and hard things possible.
+
+    .. grid-item::
+        .. rst-class:: section-toc
+        .. toctree::
+            :maxdepth: 2
+
+            project/index.rst
diff --git a/doc/install/dependencies.rst b/doc/install/dependencies.rst
new file mode 100644
index 000000000000..4b006d9016e2
--- /dev/null
+++ b/doc/install/dependencies.rst
@@ -0,0 +1,479 @@
+.. redirect-from:: /devel/dependencies
+.. redirect-from:: /users/installing/dependencies
+
+.. _dependencies:
+
+************
+Dependencies
+************
+
+.. _runtime_dependencies:
+
+Runtime dependencies
+====================
+
+
+Required
+--------
+
+When installing through a package manager like ``pip`` or ``conda``, the
+mandatory dependencies are automatically installed. This list is mainly for
+reference.
+
+* `Python <https://www.python.org/downloads/>`_ (>= 3.11)
+* `contourpy <https://pypi.org/project/contourpy/>`_ (>= 1.0.1)
+* `cycler <https://matplotlib.org/cycler/>`_ (>= 0.10.0)
+* `dateutil <https://pypi.org/project/python-dateutil/>`_ (>= 2.7)
+* `fontTools <https://fonttools.readthedocs.io/en/latest/>`_ (>= 4.22.0)
+* `kiwisolver <https://github.com/nucleic/kiwi>`_ (>= 1.3.1)
+* `NumPy <https://numpy.org>`_ (>= 1.25)
+* `packaging <https://pypi.org/project/packaging/>`_ (>= 20.0)
+* `Pillow <https://pillow.readthedocs.io/en/latest/>`_ (>= 9.0)
+* `pyparsing <https://pypi.org/project/pyparsing/>`_ (>= 3)
+
+
+.. _optional_dependencies:
+
+Optional
+--------
+
+The following packages and tools are not required but extend the capabilities
+of Matplotlib.
+
+.. _backend_dependencies:
+
+Backends
+^^^^^^^^
+
+Matplotlib figures can be rendered to various user interfaces. See
+:ref:`what-is-a-backend` for more details on the optional Matplotlib backends
+and the capabilities they provide.
+
+* Tk_ (>= 8.5, != 8.6.0 or 8.6.1): for the Tk-based backends. Tk is part of
+  most standard Python installations, but it's not part of Python itself and
+  thus may not be present in rare cases.
+* PyQt6_ (>= 6.1), PySide6_, PyQt5_ (>= 5.12), or PySide2_: for the Qt-based
+  backends.
+* PyGObject_ and pycairo_ (>= 1.14.0): for the GTK-based backends. If using pip
+  (but not conda or system package manager) PyGObject must be built from
+  source; see `pygobject documentation
+  <https://pygobject.readthedocs.io/en/latest/devguide/dev_environ.html>`_.
+* pycairo_ (>= 1.14.0) or cairocffi_ (>= 0.8): for cairo-based backends.
+* wxPython_ (>= 4): for the wx-based backends.  If using pip (but not conda or
+  system package manager) on Linux wxPython wheels must be manually downloaded
+  from https://wxpython.org/pages/downloads/.
+* Tornado_ (>= 5): for the WebAgg backend.
+* ipykernel_: for the nbagg backend.
+* macOS (>= 10.12): for the macosx backend.
+
+.. _Tk: https://docs.python.org/3/library/tk.html
+.. _PyQt5: https://pypi.org/project/PyQt5/
+.. _PySide2: https://pypi.org/project/PySide2/
+.. _PyQt6: https://pypi.org/project/PyQt6/
+.. _PySide6: https://pypi.org/project/PySide6/
+.. _PyGObject: https://pygobject.readthedocs.io/en/latest/
+.. _wxPython: https://www.wxpython.org/
+.. _pycairo: https://pycairo.readthedocs.io/en/latest/
+.. _cairocffi: https://doc.courtbouillon.org/cairocffi/stable/
+.. _Tornado: https://pypi.org/project/tornado/
+.. _ipykernel: https://pypi.org/project/ipykernel/
+
+Animations
+^^^^^^^^^^
+
+* `ffmpeg <https://www.ffmpeg.org/>`_: for saving movies.
+* `ImageMagick <https://www.imagemagick.org/script/index.php>`_: for saving
+  animated gifs.
+
+Font handling and rendering
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* `LaTeX <https://www.latex-project.org/>`_ (with `cm-super
+  <https://ctan.org/pkg/cm-super>`__ and `underscore
+  <https://ctan.org/pkg/underscore>`__) and `GhostScript (>= 9.0)
+  <https://ghostscript.com/releases/>`_: for rendering text with LaTeX.
+* `fontconfig <https://www.fontconfig.org>`_ (>= 2.7): for detection of system
+  fonts on Linux.
+
+C libraries
+-----------
+
+Matplotlib brings its own copies of the following libraries:
+
+- ``Agg``: the Anti-Grain Geometry C++ rendering engine
+- ``ttconv``: a TrueType font utility
+
+Additionally, Matplotlib depends on:
+
+- FreeType_ (>= 2.3): a font rendering library
+- QHull_ (>= 8.0.2): a library for computing triangulations (note that this version is
+  also known as 2020.2)
+
+.. _FreeType: https://www.freetype.org/
+.. _Qhull: http://www.qhull.org/
+
+
+Download during install
+^^^^^^^^^^^^^^^^^^^^^^^
+
+By default, Matplotlib downloads and builds its own copies of Qhull and FreeType.
+The vendored version of FreeType is necessary to run the test suite, because
+different versions of FreeType rasterize characters differently.
+
+
+Use system libraries
+^^^^^^^^^^^^^^^^^^^^
+
+To force Matplotlib to use a copy of FreeType or Qhull already installed in your system,
+you must `pass configuration settings to Meson via meson-python
+<https://meson-python.readthedocs.io/en/stable/how-to-guides/config-settings.html>`_:
+
+.. code-block:: sh
+
+   python -m pip install \
+     --config-settings=setup-args="-Dsystem-freetype=true" \
+     --config-settings=setup-args="-Dsystem-qhull=true" \
+     .
+
+
+In this case, you need to install the FreeType and Qhull library and headers.
+This can be achieved using a package manager, e.g. for FreeType:
+
+.. code-block:: sh
+
+   # Pick ONE of the following:
+   sudo apt install libfreetype6-dev  # Debian/Ubuntu
+   sudo dnf install freetype-devel    # Fedora
+   brew install freetype              # macOS with Homebrew
+   conda install freetype             # conda, any OS
+
+(adapt accordingly for Qhull).
+
+On Linux and macOS, it is also recommended to install pkg-config_, a helper
+tool for locating FreeType:
+
+.. code-block:: sh
+
+   # Pick ONE of the following:
+   sudo apt install pkg-config  # Debian/Ubuntu
+   sudo dnf install pkgconf     # Fedora
+   brew install pkg-config      # macOS with Homebrew
+   conda install pkg-config     # conda
+   # Or point the PKG_CONFIG environment variable to the path to pkg-config:
+   export PKG_CONFIG=...
+
+.. _pkg-config: https://www.freedesktop.org/wiki/Software/pkg-config/
+
+If not using pkg-config (in particular on Windows), you may need to set the
+include path (to the library headers) and link path (to the libraries)
+explicitly, if they are not in standard locations.  This can be done using
+standard environment variables -- on Linux and macOS:
+
+.. code-block:: sh
+
+   export CFLAGS='-I/directory/containing/ft2build.h'
+   export LDFLAGS='-L/directory/containing/libfreetype.so'
+
+and on Windows:
+
+.. code-block:: bat
+
+   set CL=/IC:\directory\containing\ft2build.h
+   set LINK=/LIBPATH:C:\directory\containing\freetype.lib
+
+If you go this route but need to reset and rebuild to change your settings,
+remember to clear your artifacts before re-building::
+
+  git clean -xfd
+
+From source files
+^^^^^^^^^^^^^^^^^
+
+If the automatic download does not work (for example, on air-gapped systems) it is
+preferable to instead use system libraries. However you can manually download the
+tarballs into :file:`subprojects/packagecache` at the top level of the checkout
+repository. The expected SHA256 hashes of the downloaded tarballs are in
+:file:`subprojects/*.wrap` if you wish to verify them, but they will also be checked by
+the build system before unpacking.
+
+
+Minimum pip / manylinux support (linux)
+---------------------------------------
+
+Matplotlib publishes `manylinux wheels <https://github.com/pypa/manylinux>`_
+which have a minimum version of pip which will recognize the wheels
+
+- Python 3.9+: ``manylinux2014`` / pip >= 19.3
+
+In all cases the required version of pip is embedded in the CPython source.
+
+
+
+.. _development-dependencies:
+
+Build dependencies
+==================
+
+
+.. _setup-dependencies:
+
+Python
+------
+
+``pip`` normally builds packages using :external+pip:doc:`build isolation <reference/build-system/pyproject-toml>`,
+which means that ``pip`` installs the dependencies listed here for the
+duration of the build process. However, build isolation is disabled via the the
+:external+pip:ref:`--no-build-isolation <install_--no-build-isolation>` flag
+when :ref:`installing Matplotlib for development <development-install>`, which
+means that the dependencies must be explicitly installed, either by :ref:`creating a virtual environment <dev-environment>`
+(recommended) or by manually installing the following packages:
+
+- `meson-python <https://meson-python.readthedocs.io/>`_ (>= 0.13.1).
+- `PyBind11 <https://pypi.org/project/pybind11/>`_ (>= 2.13.2). Used to connect C/C++ code
+  with Python.
+- `setuptools_scm <https://pypi.org/project/setuptools-scm/>`_ (>= 7).  Used to
+  update the reported ``mpl.__version__`` based on the current git commit.
+  Also a runtime dependency for editable installs.
+- `NumPy <https://numpy.org>`_ (>= 1.22).  Also a runtime dependency.
+
+
+.. _compile-build-dependencies:
+
+Compilers and external build tools
+----------------------------------
+
+When setting up a virtual environment for development, `ninja <https://ninja-build.org/>`_
+(>= 1.8.2) may need to be installed separately. This may be available
+as a `pre-built binary <https://github.com/ninja-build/ninja/releases>`_ or from a
+`package manager <https://github.com/ninja-build/ninja/wiki/Pre-built-Ninja-packages>`_
+or bundled with Meson. Ninja may also be installed via ``pip`` if otherwise not
+available.
+
+.. _compile-dependencies:
+
+Compilers
+^^^^^^^^^
+
+Matplotlib requires a C++ compiler that supports C++17, and each platform has a
+development environment that must be installed before a compiler can be installed.
+You may also need to install headers for various libraries used in the compiled extension
+source files.
+
+.. _dev-compiler:
+.. tab-set::
+
+   .. tab-item:: Linux
+
+      On some Linux systems, you can install a meta-build package. For example,
+      on  Ubuntu ``apt install build-essential`` with elevated privileges.
+
+      Otherwise, use the system distribution's package manager to install
+      :ref:`gcc <compiler-table>`.
+
+   .. tab-item:: macOS
+
+      Install `Xcode <https://developer.apple.com/xcode/>`_ for Apple platform development.
+
+   .. tab-item:: Windows
+
+      Install `Visual Studio Build Tools <https://visualstudio.microsoft.com/downloads/?q=build+tools>`_
+
+      Make sure "Desktop development with C++" is selected, and that the latest MSVC,
+      "C++ CMake tools for Windows," and a Windows SDK compatible with your version
+      of Windows are selected and installed. They should be selected by default under
+      the "Optional" subheading, but are required to build Matplotlib from source.
+
+      Alternatively, you can install a Linux-like environment such as `CygWin <https://www.cygwin.com/>`_
+      or `Windows Subsystem for Linux <https://learn.microsoft.com/en-us/windows/wsl/install>`_.
+      If using `MinGW-64 <https://www.mingw-w64.org/>`_, we require **v6** of the
+      ```Mingw-w64-x86_64-headers``.
+
+
+We highly recommend that you install a compiler using your platform tool, i.e., Xcode,
+VS Code or Linux package manager. Choose **one** compiler from this list:
+
+.. _compiler-table:
+
+.. list-table::
+   :widths: 20 20 20 40
+   :header-rows: 1
+
+   * - compiler
+     - minimum version
+     - platforms
+     - notes
+   * - GCC
+     - **7.2**
+     - Linux, macOS, Windows
+     - `gcc 7.2 <https://gcc.gnu.org/projects/cxx-status.html#cxx17>`_,
+       `GCC: Binaries <https://gcc.gnu.org/install/binaries.html>`_,
+   * - Clang (LLVM)
+     - **5**
+     - Linux, macOS
+     - `clang 5 <https://clang.llvm.org/cxx_status.html>`_, `LLVM <https://releases.llvm.org/download.html>`_
+   * - MSVC++
+     - **16.0**
+     - Windows
+     - `Visual Studio 2019 C++ <https://docs.microsoft.com/en-us/cpp/overview/visual-cpp-language-conformance?view=msvc-160>`_
+
+
+.. _test-dependencies:
+
+Test dependencies
+=================
+
+This section lists the additional software required for
+:ref:`running the tests <testing>`.
+
+Required
+--------
+
+- pytest_ (>= 7.0.0)
+
+Optional
+--------
+
+In addition to all of the optional dependencies on the main library, for
+testing the following will be used if they are installed.
+
+Python
+^^^^^^
+These packages are installed when :ref:`creating a virtual environment <dev-environment>`,
+otherwise they must be installed manually:
+
+- nbformat_ and nbconvert_ used to test the notebook backend
+- pandas_ used to test compatibility with Pandas
+- pikepdf_ used in some tests for the pgf and pdf backends
+- psutil_ used in testing the interactive backends
+- pytest-cov_ (>= 2.3.1) to collect coverage information
+- pytest-timeout_ to limit runtime in case of stuck tests
+- pytest-xdist_ to run tests in parallel
+- pytest-xvfb_ to run tests without windows popping up (Linux)
+- pytz_ used to test pytz int
+- sphinx_ used to test our sphinx extensions
+- xarray_ used to test compatibility with xarray
+
+External tools
+^^^^^^^^^^^^^^
+- Ghostscript_ (>= 9.0, to render PDF files)
+- Inkscape_ (to render SVG files)
+- `WenQuanYi Zen Hei`_ and `Noto Sans CJK`_ fonts for testing font fallback and
+  non-Western fonts
+
+If any of these dependencies are not discovered, then the tests that rely on
+them will be skipped by pytest.
+
+.. note::
+
+  When installing Inkscape on Windows, make sure that you select “Add
+  Inkscape to system PATH�, either for all users or current user, or the
+  tests will not find it.
+
+.. _Ghostscript: https://ghostscript.com/
+.. _Inkscape: https://inkscape.org
+.. _WenQuanYi Zen Hei: http://wenq.org/en/
+.. _nbconvert: https://pypi.org/project/nbconvert/
+.. _nbformat: https://pypi.org/project/nbformat/
+.. _pandas: https://pypi.org/project/pandas/
+.. _pikepdf: https://pypi.org/project/pikepdf/
+.. _psutil: https://pypi.org/project/psutil/
+.. _pytz: https://fonts.google.com/noto/use#faq
+.. _pytest-cov: https://pytest-cov.readthedocs.io/en/latest/
+.. _pytest-timeout: https://pypi.org/project/pytest-timeout/
+.. _pytest-xdist: https://pypi.org/project/pytest-xdist/
+.. _pytest-xvfb: https://pypi.org/project/pytest-xvfb/
+.. _pytest: http://doc.pytest.org/en/latest/
+.. _sphinx: https://pypi.org/project/Sphinx/
+.. _Noto Sans CJK: https://fonts.google.com/noto/use
+.. _xarray: https://pypi.org/project/xarray/
+
+
+.. _doc-dependencies:
+
+Documentation dependencies
+==========================
+
+Python
+------
+
+The additional Python packages required to build the
+:ref:`documentation <documenting-matplotlib>` are listed in
+:file:`doc-requirements.txt` and can be installed using ::
+
+    pip install -r requirements/doc/doc-requirements.txt
+
+The content of :file:`doc-requirements.txt` is also shown below:
+
+.. include:: ../../requirements/doc/doc-requirements.txt
+   :literal:
+
+
+.. _doc-dependencies-external:
+
+External tools
+--------------
+
+Required
+^^^^^^^^
+The documentation requires LaTeX and Graphviz.  These are not
+Python packages and must be installed separately.
+
+* `Graphviz <http://www.graphviz.org/download>`_
+* a LaTeX distribution, e.g. `TeX Live <https://www.tug.org/texlive/>`_ or
+  `MikTeX <https://miktex.org/>`_
+
+.. _tex-dependencies:
+
+LaTeX dependencies
+""""""""""""""""""
+
+The following collections must be installed. When using a distribution that does not
+support collections, the packages listed for each collection must be installed. You may
+need to install some packages that are not listed here.  The complete version of many
+LaTeX distribution installers, e.g. "texlive-full" or "texlive-all",
+will often automatically include these collections.
+
++-----------------------------+--------------------------------------------------+
+| collection                  | packages                                         |
++=============================+==================================================+
+| collection-basic            | `cm <https://ctan.org/pkg/cm>`_,                 |
+|                             | luahbtex                                         |
++-----------------------------+--------------------------------------------------+
+| collection-fontsrecommended | `cm-super <https://ctan.org/pkg/cm-super>`_,     |
+|                             | `lm <https://ctan.org/pkg/lm>`_,                 |
+|                             | `txfonts <https://ctan.org/pkg/txfonts>`_        |
++-----------------------------+--------------------------------------------------+
+| collection-latex            | `fix-cm <https://ctan.org/pkg/fix-cm>`_,         |
+|                             | `geometry <https://ctan.org/pkg/geometry>`_,     |
+|                             | `hyperref <https://ctan.org/pkg/hyperref>`_,     |
+|                             | `latex <https://ctan.org/pkg/latex>`_,           |
+|                             | latex-bin,                                       |
+|                             | `psnfss <https://ctan.org/pkg/psnfss>`_          |
++-----------------------------+--------------------------------------------------+
+| collection-latexextra       | `import <https://ctan.org/pkg/import>`_,         |
+|                             | `sfmath <https://ctan.org/pkg/sfmath>`_,         |
+|                             | `type1cm <https://ctan.org/pkg/type1cm>`_        |
++-----------------------------+--------------------------------------------------+
+| collection-latexrecommended | `fontspec <https://ctan.org/pkg/fontspec>`_,     |
+|                             | `underscore <https://ctan.org/pkg/underscore>`_, |
++-----------------------------+--------------------------------------------------+
+| collection-xetex            | `xetex <https://ctan.org/pkg/xetex>`_,           |
+|                             | xetex-bin                                        |
++-----------------------------+--------------------------------------------------+
+
+The following packages must also be installed:
+
+* `dvipng <https://ctan.org/pkg/dvipng>`_
+* `pgf <https://ctan.org/pkg/pgf>`_ (if using the pgf backend)
+
+
+Optional
+^^^^^^^^
+
+The documentation can be built without Inkscape and optipng, but the build
+process will raise various warnings.
+
+* `Inkscape <https://inkscape.org>`_
+* `optipng <http://optipng.sourceforge.net>`_
+* the font `xkcd script <https://github.com/ipython/xkcd-font/>`_ or `Comic Neue <https://github.com/crozynski/comicneue>`_
+* the font "Times New Roman"
diff --git a/doc/install/environment_variables_faq.rst b/doc/install/environment_variables_faq.rst
new file mode 100644
index 000000000000..38e0d0ef0c63
--- /dev/null
+++ b/doc/install/environment_variables_faq.rst
@@ -0,0 +1,88 @@
+.. _environment-variables:
+
+
+.. redirect-from:: /faq/installing_faq
+.. redirect-from:: /users/faq/installing_faq
+.. redirect-from:: /users/installing/environment_variables_faq
+
+=====================
+Environment variables
+=====================
+
+.. envvar:: HOME
+
+  The user's home directory. On Linux, :envvar:`~ <HOME>` is shorthand for :envvar:`HOME`.
+
+.. envvar:: MPLBACKEND
+
+  This optional variable can be set to choose the Matplotlib backend. See
+  :ref:`what-is-a-backend`.
+
+.. envvar:: MPLCONFIGDIR
+
+  This is the directory used to store user customizations to
+  Matplotlib, as well as some caches to improve performance. If
+  :envvar:`MPLCONFIGDIR` is not defined, :file:`{HOME}/.config/matplotlib`
+  and :file:`{HOME}/.cache/matplotlib` are used on Linux, and
+  :file:`{HOME}/.matplotlib` on other platforms, if they are
+  writable. Otherwise, the Python standard library's `tempfile.gettempdir` is
+  used to find a base directory in which the :file:`matplotlib` subdirectory is
+  created.
+
+.. envvar:: PATH
+
+  The list of directories searched to find executable programs.
+
+.. envvar:: PYTHONPATH
+
+  The list of directories that are added to Python's standard search list when
+  importing packages and modules.
+
+.. envvar:: QT_API
+
+   The Python Qt wrapper to prefer when using Qt-based backends. See :ref:`the
+   entry in the usage guide <QT_bindings>` for more information.
+
+.. _setting-linux-macos-environment-variables:
+
+Setting environment variables in Linux and macOS
+================================================
+
+To list the current value of :envvar:`PYTHONPATH`, which may be empty, try::
+
+  echo $PYTHONPATH
+
+The procedure for setting environment variables in depends on what your default
+shell is.  Common shells include :program:`bash` and :program:`csh`.  You
+should be able to determine which by running at the command prompt::
+
+  echo $SHELL
+
+To create a new environment variable::
+
+  export PYTHONPATH=~/Python  # bash/ksh
+  setenv PYTHONPATH ~/Python  # csh/tcsh
+
+To prepend to an existing environment variable::
+
+  export PATH=~/bin:${PATH}  # bash/ksh
+  setenv PATH ~/bin:${PATH}  # csh/tcsh
+
+The search order may be important to you, do you want :file:`~/bin` to be
+searched first or last?  To append to an existing environment variable::
+
+  export PATH=${PATH}:~/bin  # bash/ksh
+  setenv PATH ${PATH}:~/bin  # csh/tcsh
+
+To make your changes available in the future, add the commands to your
+:file:`~/.bashrc` or :file:`~/.cshrc` file.
+
+.. _setting-windows-environment-variables:
+
+Setting environment variables in Windows
+========================================
+
+Open the :program:`Control Panel` (:menuselection:`Start --> Control Panel`),
+start the :program:`System` program. Click the :guilabel:`Advanced` tab
+and select the :guilabel:`Environment Variables` button. You can edit or add to
+the :guilabel:`User Variables`.
diff --git a/doc/install/index.rst b/doc/install/index.rst
new file mode 100644
index 000000000000..3e6452eb2f41
--- /dev/null
+++ b/doc/install/index.rst
@@ -0,0 +1,295 @@
+.. redirect-from:: /users/installing
+.. redirect-from:: /users/installing/index
+
+************
+Installation
+************
+
+
+Install an official release
+===========================
+
+Matplotlib releases are available as wheel packages for macOS, Windows and
+Linux on `PyPI <https://pypi.org/project/matplotlib/>`_. Install it using
+``pip``:
+
+.. code-block:: sh
+
+  python -m pip install -U pip
+  python -m pip install -U matplotlib
+
+If this command results in Matplotlib being compiled from source and
+there's trouble with the compilation, you can add ``--prefer-binary`` to
+select the newest version of Matplotlib for which there is a
+precompiled wheel for your OS and Python.
+
+.. note::
+
+   The following backends work out of the box: Agg, ps, pdf, svg
+
+   Python is typically shipped with tk bindings which are used by
+   TkAgg. Notably, python-build-standalone – used by ``uv`` – does
+   not include tk bindings that are usable by Matplotlib.
+
+   For support of other GUI frameworks, LaTeX rendering, saving
+   animations and a larger selection of file formats, you can
+   install :ref:`optional dependencies <optional_dependencies>`.
+
+
+Third-party distributions
+=========================
+
+Various third-parties provide Matplotlib for their environments.
+
+Conda packages
+--------------
+
+Matplotlib is available both via the *anaconda main channel*
+
+.. code-block:: sh
+
+   conda install matplotlib
+
+as well as via the *conda-forge community channel*
+
+.. code-block:: sh
+
+   conda install -c conda-forge matplotlib
+
+Python distributions
+--------------------
+
+Matplotlib is part of major Python distributions:
+
+- `Anaconda <https://www.anaconda.com/>`_
+
+- `ActiveState ActivePython
+  <https://www.activestate.com/products/python/downloads/>`_
+
+- `WinPython <https://winpython.github.io/>`_
+
+Linux package manager
+---------------------
+
+If you are using the Python version that comes with your Linux distribution,
+you can install Matplotlib via your package manager, e.g.:
+
+* Debian / Ubuntu: ``sudo apt-get install python3-matplotlib``
+* Fedora: ``sudo dnf install python3-matplotlib``
+* Red Hat: ``sudo yum install python3-matplotlib``
+* Arch: ``sudo pacman -S python-matplotlib``
+
+.. redirect-from:: /users/installing/installing_source
+
+.. _install_from_source:
+
+Install a nightly build
+=======================
+
+Matplotlib makes nightly development build wheels available on the
+`scientific-python-nightly-wheels Anaconda Cloud organization
+<https://anaconda.org/scientific-python-nightly-wheels>`_.
+These wheels can be installed with ``pip`` by specifying
+scientific-python-nightly-wheels as the package index to query:
+
+.. code-block:: sh
+
+  python -m pip install \
+    --upgrade \
+    --pre \
+    --index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple \
+    --extra-index-url https://pypi.org/simple \
+    matplotlib
+
+
+Install from source
+===================
+
+.. admonition:: Installing for Development
+  :class: important
+
+  If you would like to contribute to Matplotlib or otherwise need to
+  install the latest development code, please follow the instructions in
+  :ref:`installing_for_devs`.
+
+The following instructions are for installing from source for production use.
+This is generally *not* recommended; please use prebuilt packages when possible.
+Proceed with caution because these instructions may result in your
+build producing unexpected behavior and/or causing local testing to fail.
+
+Before trying to install Matplotlib, please install the :ref:`dependencies`.
+
+To build from a tarball, download the latest *tar.gz* release
+file from `the PyPI files page <https://pypi.org/project/matplotlib/>`_.
+
+If you are building your own Matplotlib wheels (or sdists) on Windows, note
+that any DLLs that you copy into the source tree will be packaged too.
+
+Configure build and behavior defaults
+=====================================
+
+We provide a `meson.options`_ file containing options with which you can use to
+customize the build process. For example, which default backend to use, whether some of
+the optional libraries that Matplotlib ships with are installed, and so on. These
+options will be particularly useful to those packaging Matplotlib.
+
+.. _meson.options: https://github.com/matplotlib/matplotlib/blob/main/meson.options
+
+Aspects of some behavioral defaults of the library can be configured via:
+
+.. toctree::
+  :maxdepth: 2
+
+  environment_variables_faq.rst
+
+Default plotting appearance and behavior can be configured via the
+:ref:`rcParams file <customizing-with-matplotlibrc-files>`
+
+
+Dependencies
+============
+
+Mandatory dependencies should be installed automatically if you install Matplotlib using
+a package manager such as ``pip`` or ``conda``; therefore this list is primarily for
+reference and troubleshooting.
+
+.. toctree::
+  :maxdepth: 2
+
+  dependencies
+
+
+.. _installing-faq:
+
+Frequently asked questions
+===========================
+
+Report a compilation problem
+----------------------------
+
+See :ref:`reporting-problems`.
+
+Matplotlib compiled fine, but nothing shows up when I use it
+------------------------------------------------------------
+
+The first thing to try is a :ref:`clean install <clean-install>` and see if
+that helps.  If not, the best way to test your install is by running a script,
+rather than working interactively from a python shell or an integrated
+development environment such as :program:`IDLE` which add additional
+complexities. Open up a UNIX shell or a DOS command prompt and run, for
+example::
+
+   python -c "from pylab import *; set_loglevel('debug'); plot(); show()"
+
+This will give you additional information about which backends Matplotlib is
+loading, version information, and more. At this point you might want to make
+sure you understand Matplotlib's :ref:`configuration <customizing>`
+process, governed by the :file:`matplotlibrc` configuration file which contains
+instructions within and the concept of the Matplotlib backend.
+
+If you are still having trouble, see :ref:`reporting-problems`.
+
+.. _clean-install:
+
+How to completely remove Matplotlib
+-----------------------------------
+
+Occasionally, problems with Matplotlib can be solved with a clean
+installation of the package.  In order to fully remove an installed Matplotlib:
+
+1. Delete the caches from your :ref:`Matplotlib configuration directory
+   <locating-matplotlib-config-dir>`.
+
+2. Delete any Matplotlib directories or eggs from your :ref:`installation
+   directory <locating-matplotlib-install>`.
+
+macOS Notes
+-----------
+
+.. _which-python-for-macos:
+
+Which python for macOS?
+^^^^^^^^^^^^^^^^^^^^^^^
+
+Apple ships macOS with its own Python, in ``/usr/bin/python``, and its own copy
+of Matplotlib. Unfortunately, the way Apple currently installs its own copies
+of NumPy, Scipy and Matplotlib means that these packages are difficult to
+upgrade (see `system python packages`_).  For that reason we strongly suggest
+that you install a fresh version of Python and use that as the basis for
+installing libraries such as NumPy and Matplotlib.  One convenient way to
+install Matplotlib with other useful Python software is to use the Anaconda_
+Python scientific software collection, which includes Python itself and a
+wide range of libraries; if you need a library that is not available from the
+collection, you can install it yourself using standard methods such as *pip*.
+See the Anaconda web page for installation support.
+
+.. _system python packages:
+    https://github.com/MacPython/wiki/wiki/Which-Python#system-python-and-extra-python-packages
+.. _Anaconda: https://www.anaconda.com/
+
+Other options for a fresh Python install are the standard installer from
+`python.org <https://www.python.org/downloads/macos/>`_, or installing
+Python using a general macOS package management system such as `homebrew
+<https://brew.sh/>`_ or `macports <https://www.macports.org>`_.  Power users on
+macOS will likely want one of homebrew or macports on their system to install
+open source software packages, but it is perfectly possible to use these
+systems with another source for your Python binary, such as Anaconda
+or Python.org Python.
+
+.. _install_macos_binaries:
+
+Installing macOS binary wheels
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+If you are using Python from https://www.python.org, Homebrew, or Macports,
+then you can use the standard pip installer to install Matplotlib binaries in
+the form of wheels.
+
+pip is installed by default with python.org and Homebrew Python, but needs to
+be manually installed on Macports with ::
+
+   sudo port install py38-pip
+
+Once pip is installed, you can install Matplotlib and all its dependencies with
+from the Terminal.app command line::
+
+   python3 -m pip install matplotlib
+
+You might also want to install IPython or the Jupyter notebook (``python3 -m pip
+install ipython notebook``).
+
+Checking your installation
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The new version of Matplotlib should now be on your Python "path".  Check this
+at the Terminal.app command line::
+
+  python3 -c 'import matplotlib; print(matplotlib.__version__, matplotlib.__file__)'
+
+You should see something like ::
+
+  3.10.0 /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/matplotlib/__init__.py
+
+where ``3.10.0`` is the Matplotlib version you just installed, and the path
+following depends on whether you are using Python.org Python, Homebrew or
+Macports.  If you see another version, or you get an error like ::
+
+    Traceback (most recent call last):
+      File "<string>", line 1, in <module>
+    ImportError: No module named matplotlib
+
+then check that the Python binary is the one you expected by running ::
+
+  which python3
+
+If you get a result like ``/usr/bin/python...``, then you are getting the
+Python installed with macOS, which is probably not what you want.  Try closing
+and restarting Terminal.app before running the check again. If that doesn't fix
+the problem, depending on which Python you wanted to use, consider reinstalling
+Python.org Python, or check your homebrew or macports setup.  Remember that
+the disk image installer only works for Python.org Python, and will not get
+picked up by other Pythons.  If all these fail, please :ref:`let us know
+<reporting-problems>`.
+
+
+.. include:: troubleshooting_faq.inc.rst
diff --git a/doc/install/troubleshooting_faq.inc.rst b/doc/install/troubleshooting_faq.inc.rst
new file mode 100644
index 000000000000..d130813a80c6
--- /dev/null
+++ b/doc/install/troubleshooting_faq.inc.rst
@@ -0,0 +1,74 @@
+.. _troubleshooting-install:
+
+.. redirect-from:: /users/installing/troubleshooting_faq
+
+Troubleshooting
+===============
+
+.. _matplotlib-version:
+
+Obtaining Matplotlib version
+----------------------------
+
+To find out your Matplotlib version number, import it and print the
+``__version__`` attribute::
+
+    >>> import matplotlib
+    >>> matplotlib.__version__
+    '0.98.0'
+
+
+.. _locating-matplotlib-install:
+
+:file:`matplotlib` install location
+-----------------------------------
+
+You can find what directory Matplotlib is installed in by importing it
+and printing the ``__file__`` attribute::
+
+    >>> import matplotlib
+    >>> matplotlib.__file__
+    '/home/jdhunter/dev/lib64/python2.5/site-packages/matplotlib/__init__.pyc'
+
+
+.. _locating-matplotlib-config-dir:
+
+:file:`matplotlib` configuration and cache directory locations
+--------------------------------------------------------------
+
+Each user has a Matplotlib configuration directory which may contain a
+:ref:`matplotlibrc <customizing-with-matplotlibrc-files>` file. To
+locate your :file:`matplotlib/` configuration directory, use
+:func:`matplotlib.get_configdir`::
+
+    >>> import matplotlib as mpl
+    >>> mpl.get_configdir()
+    '/home/darren/.config/matplotlib'
+
+On Unix-like systems, this directory is generally located in your
+:envvar:`HOME` directory under the :file:`.config/` directory.
+
+In addition, users have a cache directory. On Unix-like systems, this is
+separate from the configuration directory by default. To locate your
+:file:`.cache/` directory, use :func:`matplotlib.get_cachedir`::
+
+    >>> import matplotlib as mpl
+    >>> mpl.get_cachedir()
+    '/home/darren/.cache/matplotlib'
+
+On Windows, both the config directory and the cache directory are
+the same and are in your :file:`Documents and Settings` or :file:`Users`
+directory by default::
+
+    >>> import matplotlib as mpl
+    >>> mpl.get_configdir()
+    'C:\\Documents and Settings\\jdhunter\\.matplotlib'
+    >>> mpl.get_cachedir()
+    'C:\\Documents and Settings\\jdhunter\\.matplotlib'
+
+If you would like to use a different configuration directory, you can
+do so by specifying the location in your :envvar:`MPLCONFIGDIR`
+environment variable -- see
+:ref:`setting-linux-macos-environment-variables`.  Note that
+:envvar:`MPLCONFIGDIR` sets the location of both the configuration
+directory and the cache directory.
diff --git a/doc/make.bat b/doc/make.bat
new file mode 100644
index 000000000000..09d76404e60f
--- /dev/null
+++ b/doc/make.bat
@@ -0,0 +1,69 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=python -msphinx
+)
+set SOURCEDIR=.
+set BUILDDIR=build
+set SPHINXPROJ=matplotlib
+if defined SPHINXOPTS goto skipopts
+set SPHINXOPTS=-W --keep-going
+:skipopts
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The Sphinx module was not found. Make sure you have Sphinx installed,
+	echo.then set the SPHINXBUILD environment variable to point to the full
+	echo.path of the 'sphinx-build' executable. Alternatively you may add the
+	echo.Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+if "%1" == "" goto help
+if "%1" == "html-noplot" goto html-noplot
+if "%1" == "html-skip-subdirs" goto html-skip-subdirs
+if "%1" == "show" goto show
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+if "%1" == "clean" (
+	REM workaround because sphinx does not completely clean up (#11139)
+	rmdir /s /q "%SOURCEDIR%\build"
+	rmdir /s /q "%SOURCEDIR%\_tags"
+	rmdir /s /q "%SOURCEDIR%\api\_as_gen"
+	rmdir /s /q "%SOURCEDIR%\gallery"
+	rmdir /s /q "%SOURCEDIR%\plot_types"
+	rmdir /s /q "%SOURCEDIR%\tutorials"
+	rmdir /s /q "%SOURCEDIR%\users\explain"
+	rmdir /s /q "%SOURCEDIR%\savefig"
+	rmdir /s /q "%SOURCEDIR%\sphinxext\__pycache__"
+	del /q "%SOURCEDIR%\_static\constrained_layout*.png"
+	del /q "%SOURCEDIR%\sg_execution_times.rst"
+)
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:html-noplot
+%SPHINXBUILD% -M html %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -D plot_gallery=0
+goto end
+
+:html-skip-subdirs
+%SPHINXBUILD% -M html %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -D skip_sub_dirs=1
+goto end
+
+
+:show
+python -m webbrowser -t "%~dp0\build\html\index.html"
+
+:end
+popd
diff --git a/doc/make.py b/doc/make.py
deleted file mode 100755
index 75c0bba71251..000000000000
--- a/doc/make.py
+++ /dev/null
@@ -1,204 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-import glob
-import os
-import shutil
-import sys
-import re
-import argparse
-
-def copy_if_out_of_date(original, derived):
-    if (not os.path.exists(derived) or
-        os.stat(derived).st_mtime < os.stat(original).st_mtime):
-        try:
-            shutil.copyfile(original, derived)
-        except IOError:
-            if os.path.basename(original) == 'matplotlibrc':
-                msg = "'%s' not found. " % original + \
-                      "Did you run `python setup.py build`?"
-                raise IOError(msg)
-            else:
-                raise
-
-def check_build():
-    build_dirs = ['build', 'build/doctrees', 'build/html', 'build/latex',
-                  'build/texinfo', '_static', '_templates']
-    for d in build_dirs:
-        try:
-            os.mkdir(d)
-        except OSError:
-            pass
-
-def doctest():
-    os.system('sphinx-build -b doctest -d build/doctrees . build/doctest')
-
-def linkcheck():
-    os.system('sphinx-build -b linkcheck -d build/doctrees . build/linkcheck')
-
-def html(buildername='html'):
-    check_build()
-    copy_if_out_of_date('../lib/matplotlib/mpl-data/matplotlibrc', '_static/matplotlibrc')
-    if small_docs:
-        options = "-D plot_formats=\"[('png', 80)]\""
-    else:
-        options = ''
-    if warnings_as_errors:
-        options = options + ' -W'
-    if os.system('sphinx-build %s -b %s -d build/doctrees . build/%s' % (options, buildername, buildername)):
-        raise SystemExit("Building HTML failed.")
-
-    # Clean out PDF files from the _images directory
-    for filename in glob.glob('build/%s/_images/*.pdf' % buildername):
-        os.remove(filename)
-
-    shutil.copy('../CHANGELOG', 'build/%s/_static/CHANGELOG' % buildername)
-
-def htmlhelp():
-    html(buildername='htmlhelp')
-    # remove scripts from index.html
-    with open('build/htmlhelp/index.html', 'r+') as fh:
-        content = fh.read()
-        fh.seek(0)
-        content = re.sub(r'<script>.*?</script>', '', content, 
-                         flags=re.MULTILINE| re.DOTALL)
-        fh.write(content)
-        fh.truncate()
-
-def latex():
-    check_build()
-    #figs()
-    if sys.platform != 'win32':
-        # LaTeX format.
-        if os.system('sphinx-build -b latex -d build/doctrees . build/latex'):
-            raise SystemExit("Building LaTeX failed.")
-
-        # Produce pdf.
-        os.chdir('build/latex')
-
-        # Call the makefile produced by sphinx...
-        if os.system('make'):
-            raise SystemExit("Rendering LaTeX failed.")
-
-        os.chdir('../..')
-    else:
-        print('latex build has not been tested on windows')
-
-def texinfo():
-    check_build()
-    #figs()
-    if sys.platform != 'win32':
-        # Texinfo format.
-        if os.system(
-                'sphinx-build -b texinfo -d build/doctrees . build/texinfo'):
-            raise SystemExit("Building Texinfo failed.")
-
-        # Produce info file.
-        os.chdir('build/texinfo')
-
-        # Call the makefile produced by sphinx...
-        if os.system('make'):
-            raise SystemExit("Rendering Texinfo failed.")
-
-        os.chdir('../..')
-    else:
-        print('texinfo build has not been tested on windows')
-
-def clean():
-    shutil.rmtree("build", ignore_errors=True)
-    shutil.rmtree("examples", ignore_errors=True)
-    for pattern in ['mpl_examples/api/*.png',
-                    'mpl_examples/pylab_examples/*.png',
-                    'mpl_examples/pylab_examples/*.pdf',
-                    'mpl_examples/units/*.png',
-                    'pyplots/tex_demo.png',
-                    '_static/matplotlibrc',
-                    '_templates/gallery.html',
-                    'users/installing.rst']:
-        for filename in glob.glob(pattern):
-            if os.path.exists(filename):
-                os.remove(filename)
-
-def all():
-    #figs()
-    html()
-    latex()
-
-
-funcd = {
-    'html'     : html,
-    'htmlhelp' : htmlhelp,
-    'latex'    : latex,
-    'texinfo'  : texinfo,
-    'clean'    : clean,
-    'all'      : all,
-    'doctest'  : doctest,
-    'linkcheck': linkcheck,
-    }
-
-
-small_docs = False
-warnings_as_errors = False
-
-# Change directory to the one containing this file
-current_dir = os.getcwd()
-os.chdir(os.path.dirname(os.path.join(current_dir, __file__)))
-copy_if_out_of_date('../INSTALL', 'users/installing.rst')
-
-# Create the examples symlink, if it doesn't exist
-
-required_symlinks = [
-    ('mpl_examples', '../examples/'),
-    ('mpl_toolkits/axes_grid/examples', '../../../examples/axes_grid/')
-    ]
-
-symlink_warnings = []
-for link, target in required_symlinks:
-    if sys.platform == 'win32' and os.path.isfile(link):
-        # This is special processing that applies on platforms that don't deal
-        # with git symlinks -- probably only MS windows.
-        delete = False
-        with open(link, 'r') as content:
-            delete = target == content.read()
-        if delete:
-            symlink_warnings.append('deleted:  doc/{}'.format(link))
-            os.unlink(link)
-        else:
-            raise RuntimeError("doc/{} should be a directory or symlink -- it isn't")
-    if not os.path.exists(link):
-        if hasattr(os, 'symlink'):
-            os.symlink(target, link)
-        else:
-            symlink_warnings.append('files copied to {}'.format(link))
-            shutil.copytree(os.path.join(link, '..', target), link)
-
-if sys.platform == 'win32' and len(symlink_warnings) > 0:
-    print('The following items related to symlinks will show up '+ 
-            'as spurious changes in your \'git status\':\n\t{}' 
-                    .format('\n\t'.join(symlink_warnings)))
-
-parser = argparse.ArgumentParser(description='Build matplotlib docs')
-parser.add_argument("cmd", help=("Command to execute. Can be multiple. "
-                    "Valid options are: %s" % (funcd.keys())), nargs='*')
-parser.add_argument("--small",
-                    help="Smaller docs with only low res png figures",
-                    action="store_true")
-parser.add_argument("--warningsaserrors",
-                    help="Turn Sphinx warnings into errors",
-                    action="store_true")
-args = parser.parse_args()
-if args.small:
-    small_docs = True
-if args.warningsaserrors:
-    warnings_as_errors = True
-
-if args.cmd:
-    for command in args.cmd:
-        func = funcd.get(command)
-        if func is None:
-            raise SystemExit(('Do not know how to handle %s; valid commands'
-                              ' are %s' % (command, funcd.keys())))
-        func()
-else:
-    all()
-os.chdir(current_dir)
diff --git a/doc/matplotlibrc b/doc/matplotlibrc
index 5c9685987e24..c29755d45455 100644
--- a/doc/matplotlibrc
+++ b/doc/matplotlibrc
@@ -1,16 +1,5 @@
-backend      : Agg
-
-figure.figsize   : 5.5, 4.5    # figure size in inches
-savefig.dpi       : 80      # figure dots per inch
-docstring.hardcopy : True  # set this when you want to generate hardcopy docstring
-
-# these parameters are useful for packagers who want to build the docs
-# w/o invoking file downloads for the sampledata (see
-# matplotlib.cbook.get_sample_data.  Unpack
-# mpl_sampledata-VERSION.tar.gz and point examples.directory to it.
-# You can use a relative path for examples.directory and it must be
-# relative to this matplotlibrc file
-
-#examples.download : False  # False to bypass downloading mechanism
-#examples.directory : /your/path/to/sample_data/   # directory to look in if download is false
-
+backend            : Agg
+figure.figsize     : 5.5, 4.5 # figure size in inches
+savefig.dpi        : 80       # figure dots per inch
+docstring.hardcopy : True     # set this when you want to generate hardcopy docstring
+animation.embed_limit : 30    # allow embedded animations to be big
diff --git a/doc/missing-references.json b/doc/missing-references.json
new file mode 100644
index 000000000000..efe676afbb85
--- /dev/null
+++ b/doc/missing-references.json
@@ -0,0 +1,340 @@
+{
+  "py:class": {
+    "HashableList[_HT]": [
+      "<unknown>:1"
+    ],
+    "matplotlib.axes._base._AxesBase": [
+      "doc/api/artist_api.rst:202"
+    ],
+    "matplotlib.backend_bases._Backend": [
+      "lib/matplotlib/backend_bases.py:docstring of matplotlib.backend_bases.ShowBase:1"
+    ],
+    "matplotlib.backends._backend_pdf_ps.RendererPDFPSBase": [
+      "lib/matplotlib/backends/backend_pdf.py:docstring of matplotlib.backends.backend_pdf.RendererPdf:1",
+      "lib/matplotlib/backends/backend_ps.py:docstring of matplotlib.backends.backend_ps.RendererPS:1"
+    ],
+    "matplotlib.backends._backend_tk.FigureCanvasTk": [
+      "lib/matplotlib/backends/backend_tkagg.py:docstring of matplotlib.backends.backend_tkagg.FigureCanvasTkAgg:1",
+      "lib/matplotlib/backends/backend_tkcairo.py:docstring of matplotlib.backends.backend_tkcairo.FigureCanvasTkCairo:1"
+    ],
+    "matplotlib.image._ImageBase": [
+      "doc/api/artist_api.rst:202",
+      "lib/matplotlib/image.py:docstring of matplotlib.image.AxesImage:1",
+      "lib/matplotlib/image.py:docstring of matplotlib.image.BboxImage:1",
+      "lib/matplotlib/image.py:docstring of matplotlib.image.FigureImage:1"
+    ],
+    "matplotlib.patches.ArrowStyle._Base": [
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.Fancy:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.Simple:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.Wedge:1"
+    ],
+    "matplotlib.patches.ArrowStyle._Curve": [
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.BarAB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.BracketA:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.BracketAB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.BracketB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.BracketCurve:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.Curve:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveA:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveAB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveBracket:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveFilledA:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveFilledAB:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle.CurveFilledB:1"
+    ],
+    "matplotlib.patches.ConnectionStyle._Base": [
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle.Angle3:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle.Angle:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle.Arc3:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle.Arc:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle.Bar:1"
+    ],
+    "matplotlib.patches._Style": [
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ArrowStyle:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.BoxStyle:1",
+      "lib/matplotlib/patches.py:docstring of matplotlib.patches.ConnectionStyle:1",
+      "lib/mpl_toolkits/axisartist/axisline_style.py:docstring of mpl_toolkits.axisartist.axisline_style.AxislineStyle:1"
+    ],
+    "matplotlib.projections.geo._GeoTransform": [
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.AitoffTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.AitoffAxes.InvertedAitoffTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.HammerTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.HammerAxes.InvertedHammerTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.InvertedLambertTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.LambertAxes.LambertTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.MollweideAxes.InvertedMollweideTransform:1",
+      "lib/matplotlib/projections/geo.py:docstring of matplotlib.projections.geo.MollweideAxes.MollweideTransform:1"
+    ],
+    "matplotlib.text._AnnotationBase": [
+      "doc/api/artist_api.rst:202",
+      "lib/matplotlib/offsetbox.py:docstring of matplotlib.offsetbox.AnnotationBbox:1",
+      "lib/matplotlib/text.py:docstring of matplotlib.text.Annotation:1"
+    ],
+    "matplotlib.transforms._BlendedMixin": [
+      "lib/matplotlib/transforms.py:docstring of matplotlib.transforms.BlendedAffine2D:1",
+      "lib/matplotlib/transforms.py:docstring of matplotlib.transforms.BlendedGenericTransform:1"
+    ],
+    "matplotlib.widgets._SelectorWidget": [
+      "lib/matplotlib/widgets.py:docstring of matplotlib.widgets.LassoSelector:1",
+      "lib/matplotlib/widgets.py:docstring of matplotlib.widgets.PolygonSelector:1",
+      "lib/matplotlib/widgets.py:docstring of matplotlib.widgets.RectangleSelector:1",
+      "lib/matplotlib/widgets.py:docstring of matplotlib.widgets.SpanSelector:1"
+    ],
+    "mpl_toolkits.axes_grid1.axes_size._Base": [
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.Add:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.AxesX:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.AxesY:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.Fixed:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.Fraction:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.MaxExtent:1",
+      "lib/mpl_toolkits/axes_grid1/axes_size.py:docstring of mpl_toolkits.axes_grid1.axes_size.Scaled:1"
+    ],
+    "mpl_toolkits.axes_grid1.parasite_axes.AxesHostAxes": [
+      "<unknown>:1",
+      "doc/api/_as_gen/mpl_toolkits.axes_grid1.parasite_axes.rst:30:<autosummary>:1"
+    ],
+    "mpl_toolkits.axes_grid1.parasite_axes.AxesParasite": [
+      "<unknown>:1",
+      "doc/api/_as_gen/mpl_toolkits.axes_grid1.parasite_axes.rst:30:<autosummary>:1"
+    ],
+    "mpl_toolkits.axisartist.axisline_style.AxislineStyle._Base": [
+      "lib/mpl_toolkits/axisartist/axisline_style.py:docstring of mpl_toolkits.axisartist.axisline_style.AxislineStyle.SimpleArrow:1"
+    ],
+    "mpl_toolkits.axisartist.axisline_style._FancyAxislineStyle.FilledArrow": [
+      "<unknown>:1"
+    ],
+    "mpl_toolkits.axisartist.axisline_style._FancyAxislineStyle.SimpleArrow": [
+      "<unknown>:1"
+    ],
+    "mpl_toolkits.axisartist.axislines._FixedAxisArtistHelperBase": [
+      "<unknown>:1",
+      "lib/mpl_toolkits/axisartist/axislines.py:docstring of mpl_toolkits.axisartist.axislines.FixedAxisArtistHelperRectilinear:1",
+      "lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py:docstring of mpl_toolkits.axisartist.grid_helper_curvelinear.FixedAxisArtistHelper:1"
+    ],
+    "mpl_toolkits.axisartist.axislines._FloatingAxisArtistHelperBase": [
+      "<unknown>:1",
+      "lib/mpl_toolkits/axisartist/axislines.py:docstring of mpl_toolkits.axisartist.axislines.FloatingAxisArtistHelperRectilinear:1",
+      "lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py:docstring of mpl_toolkits.axisartist.grid_helper_curvelinear.FloatingAxisArtistHelper:1"
+    ],
+    "mpl_toolkits.axisartist.floating_axes.FloatingAxesHostAxes": [
+      "<unknown>:1",
+      "doc/api/_as_gen/mpl_toolkits.axisartist.floating_axes.rst:32:<autosummary>:1"
+    ],
+    "numpy.float64": [
+      "doc/docstring of matplotlib.ft2font.PyCapsule.set_text:1"
+    ],
+    "numpy.uint8": [
+      "<unknown>:1"
+    ]
+  },
+  "py:obj": {
+    "Image": [
+      "lib/matplotlib/pyplot.py:docstring of matplotlib.pyplot.gci:4"
+    ],
+    "active": [
+      "lib/matplotlib/widgets.py:docstring of matplotlib.widgets.AxesWidget:21"
+    ],
+    "matplotlib.animation.ArtistAnimation.new_frame_seq": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.new_saved_frame_seq": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.pause": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.resume": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.save": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.to_html5_video": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.ArtistAnimation.to_jshtml": [
+      "doc/api/_as_gen/matplotlib.animation.ArtistAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.finish": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.frame_format": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FFMpegFileWriter.supported_formats:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FFMpegFileWriter.supported_formats:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.grab_frame": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.isAvailable": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.output_args": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FFMpegFileWriter.supported_formats:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegFileWriter.setup": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.finish": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.frame_size": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:34:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.grab_frame": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.isAvailable": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.output_args": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:34:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.setup": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FFMpegWriter.supported_formats": [
+      "doc/api/_as_gen/matplotlib.animation.FFMpegWriter.rst:34:<autosummary>:1"
+    ],
+    "matplotlib.animation.FileMovieWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.FileMovieWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FileMovieWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FileMovieWriter.finish:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FileMovieWriter.isAvailable": [
+      "doc/api/_as_gen/matplotlib.animation.FileMovieWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FileMovieWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.FileMovieWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.FileMovieWriter.supported_formats": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FileMovieWriter.finish:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FuncAnimation.pause": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FuncAnimation.new_frame_seq:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FuncAnimation.resume": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FuncAnimation.new_frame_seq:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FuncAnimation.save": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FuncAnimation.new_frame_seq:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FuncAnimation.to_html5_video": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FuncAnimation.new_frame_seq:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.FuncAnimation.to_jshtml": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.FuncAnimation.new_frame_seq:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.HTMLWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.HTMLWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.HTMLWriter.frame_format": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.HTMLWriter.finish:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.HTMLWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.HTMLWriter.finish:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.HTMLWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.HTMLWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.finish": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.frame_format": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.ImageMagickFileWriter.input_names:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.ImageMagickFileWriter.input_names:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.grab_frame": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.isAvailable": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickFileWriter.setup": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickFileWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.bin_path": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.finish": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.ImageMagickWriter.input_names:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.grab_frame": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.isAvailable": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.setup": [
+      "doc/api/_as_gen/matplotlib.animation.ImageMagickWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.ImageMagickWriter.supported_formats": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.ImageMagickWriter.input_names:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.MovieWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.MovieWriter.bin_path:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.MovieWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.MovieWriter.rst:27:<autosummary>:1"
+    ],
+    "matplotlib.animation.PillowWriter.frame_size": [
+      "lib/matplotlib/animation.py:docstring of matplotlib.animation.PillowWriter.finish:1:<autosummary>:1"
+    ],
+    "matplotlib.animation.PillowWriter.saving": [
+      "doc/api/_as_gen/matplotlib.animation.PillowWriter.rst:26:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.new_frame_seq": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.new_saved_frame_seq": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.pause": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.resume": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.save": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.to_html5_video": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.animation.TimedAnimation.to_jshtml": [
+      "doc/api/_as_gen/matplotlib.animation.TimedAnimation.rst:23:<autosummary>:1"
+    ],
+    "matplotlib.typing._HT": [
+      "<unknown>:1"
+    ]
+  }
+}
diff --git a/doc/mpl_examples b/doc/mpl_examples
deleted file mode 120000
index 785887f7fbe0..000000000000
--- a/doc/mpl_examples
+++ /dev/null
@@ -1 +0,0 @@
-../examples/
\ No newline at end of file
diff --git a/doc/mpl_toolkits/axes_grid/api/axes_divider_api.rst b/doc/mpl_toolkits/axes_grid/api/axes_divider_api.rst
deleted file mode 100644
index fc090530e664..000000000000
--- a/doc/mpl_toolkits/axes_grid/api/axes_divider_api.rst
+++ /dev/null
@@ -1,18 +0,0 @@
-
-:mod:`mpl_toolkits.axes_grid.axes_divider`
-==========================================
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_divider.Divider
-   :members: 
-   :undoc-members:
-
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_divider.AxesLocator
-   :members: 
-   :undoc-members:
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_divider.SubplotDivider
-   :members: 
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_divider.AxesDivider
-   :members: 
diff --git a/doc/mpl_toolkits/axes_grid/api/axes_grid_api.rst b/doc/mpl_toolkits/axes_grid/api/axes_grid_api.rst
deleted file mode 100644
index 15fa8bd2a2c1..000000000000
--- a/doc/mpl_toolkits/axes_grid/api/axes_grid_api.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-
-:mod:`mpl_toolkits.axes_grid.axes_grid`
-=======================================
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_grid.Grid
-   :members:
-   :undoc-members:
-
-.. autoclass:: mpl_toolkits.axes_grid.axes_grid.ImageGrid
-   :members:
-   :undoc-members:
diff --git a/doc/mpl_toolkits/axes_grid/api/axes_size_api.rst b/doc/mpl_toolkits/axes_grid/api/axes_size_api.rst
deleted file mode 100644
index 1238bfd903b2..000000000000
--- a/doc/mpl_toolkits/axes_grid/api/axes_size_api.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-:mod:`mpl_toolkits.axes_grid.axes_size`
-=======================================
-
-.. automodule:: mpl_toolkits.axes_grid.axes_size
-   :members: Fixed, Scaled, AxesX, AxesY, MaxWidth, MaxHeight, Fraction, Padded, from_any
-
diff --git a/doc/mpl_toolkits/axes_grid/api/axis_artist_api.rst b/doc/mpl_toolkits/axes_grid/api/axis_artist_api.rst
deleted file mode 100644
index f18a52daab65..000000000000
--- a/doc/mpl_toolkits/axes_grid/api/axis_artist_api.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-
-:mod:`mpl_toolkits.axes_grid.axis_artist`
-=========================================
-
-.. autoclass:: mpl_toolkits.axes_grid.axis_artist.AxisArtist
-   :members:
-   :undoc-members:
-
-.. autoclass:: mpl_toolkits.axes_grid.axis_artist.Ticks
-   :members:
-
-.. autoclass:: mpl_toolkits.axes_grid.axis_artist.AxisLabel
-   :members:
-
-.. autoclass:: mpl_toolkits.axes_grid.axis_artist.TickLabels
-   :members:
diff --git a/doc/mpl_toolkits/axes_grid/api/index.rst b/doc/mpl_toolkits/axes_grid/api/index.rst
deleted file mode 100644
index 399548928147..000000000000
--- a/doc/mpl_toolkits/axes_grid/api/index.rst
+++ /dev/null
@@ -1,15 +0,0 @@
-.. _axes_grid-api-index:
-
-#######################################
-  The Matplotlib AxesGrid Toolkit API
-#######################################
-
-:Release: |version|
-:Date: |today|
-
-.. toctree::
-
-    axes_size_api.rst
-    axes_divider_api.rst
-    axes_grid_api.rst
-    axis_artist_api.rst
diff --git a/doc/mpl_toolkits/axes_grid/examples b/doc/mpl_toolkits/axes_grid/examples
deleted file mode 120000
index 69ba136bcc62..000000000000
--- a/doc/mpl_toolkits/axes_grid/examples
+++ /dev/null
@@ -1 +0,0 @@
-../../../examples/axes_grid/
\ No newline at end of file
diff --git a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step01.py b/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step01.py
deleted file mode 100644
index 3ff931baa5c7..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step01.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-def setup_axes(fig, rect):
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_axes(ax)
-
-    ax.set_ylim(-0.1, 1.5)
-    ax.set_yticks([0, 1])
-
-    ax.axis[:].set_visible(False)
-
-    ax.axis["x"] = ax.new_floating_axis(1, 0.5)
-    ax.axis["x"].set_axisline_style("->", size=1.5)
-
-    return ax
-
-fig = plt.figure(figsize=(3,2.5))
-fig.subplots_adjust(top=0.8)
-ax1 = setup_axes(fig, "111")
-
-ax1.axis["x"].set_axis_direction("left")
-
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step02.py b/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step02.py
deleted file mode 100644
index bddedcea73d6..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step02.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-def setup_axes(fig, rect):
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_axes(ax)
-
-    ax.set_ylim(-0.1, 1.5)
-    ax.set_yticks([0, 1])
-
-    #ax.axis[:].toggle(all=False)
-    #ax.axis[:].line.set_visible(False)
-    ax.axis[:].set_visible(False)
-
-    ax.axis["x"] = ax.new_floating_axis(1, 0.5)
-    ax.axis["x"].set_axisline_style("->", size=1.5)
-
-    return ax
-
-fig = plt.figure(figsize=(6,2.5))
-fig.subplots_adjust(bottom=0.2, top=0.8)
-
-ax1 = setup_axes(fig, "121")
-ax1.axis["x"].set_ticklabel_direction("+")
-ax1.annotate("ticklabel direction=$+$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-ax2 = setup_axes(fig, "122")
-ax2.axis["x"].set_ticklabel_direction("-")
-ax2.annotate("ticklabel direction=$-$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step03.py b/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step03.py
deleted file mode 100644
index 69963d22ee69..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step03.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-def setup_axes(fig, rect):
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_axes(ax)
-
-    ax.set_ylim(-0.1, 1.5)
-    ax.set_yticks([0, 1])
-
-    #ax.axis[:].toggle(all=False)
-    #ax.axis[:].line.set_visible(False)
-    ax.axis[:].set_visible(False)
-
-    ax.axis["x"] = ax.new_floating_axis(1, 0.5)
-    ax.axis["x"].set_axisline_style("->", size=1.5)
-
-    return ax
-
-fig = plt.figure(figsize=(6,2.5))
-fig.subplots_adjust(bottom=0.2, top=0.8)
-
-ax1 = setup_axes(fig, "121")
-ax1.axis["x"].label.set_text("Label")
-ax1.axis["x"].toggle(ticklabels=False)
-ax1.axis["x"].set_axislabel_direction("+")
-ax1.annotate("label direction=$+$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-ax2 = setup_axes(fig, "122")
-ax2.axis["x"].label.set_text("Label")
-ax2.axis["x"].toggle(ticklabels=False)
-ax2.axis["x"].set_axislabel_direction("-")
-ax2.annotate("label direction=$-$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step04.py b/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step04.py
deleted file mode 100644
index 2b5bf8673938..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/axis_direction_demo_step04.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-def setup_axes(fig, rect):
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_axes(ax)
-
-    ax.set_ylim(-0.1, 1.5)
-    ax.set_yticks([0, 1])
-
-    ax.axis[:].set_visible(False)
-
-    ax.axis["x1"] = ax.new_floating_axis(1, 0.3)
-    ax.axis["x1"].set_axisline_style("->", size=1.5)
-
-    ax.axis["x2"] = ax.new_floating_axis(1, 0.7)
-    ax.axis["x2"].set_axisline_style("->", size=1.5)
-
-    return ax
-
-fig = plt.figure(figsize=(6,2.5))
-fig.subplots_adjust(bottom=0.2, top=0.8)
-
-ax1 = setup_axes(fig, "121")
-ax1.axis["x1"].label.set_text("rotation=0")
-ax1.axis["x1"].toggle(ticklabels=False)
-
-ax1.axis["x2"].label.set_text("rotation=10")
-ax1.axis["x2"].label.set_rotation(10)
-ax1.axis["x2"].toggle(ticklabels=False)
-
-ax1.annotate("label direction=$+$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-ax2 = setup_axes(fig, "122")
-
-ax2.axis["x1"].set_axislabel_direction("-")
-ax2.axis["x2"].set_axislabel_direction("-")
-
-ax2.axis["x1"].label.set_text("rotation=0")
-ax2.axis["x1"].toggle(ticklabels=False)
-
-ax2.axis["x2"].label.set_text("rotation=10")
-ax2.axis["x2"].label.set_rotation(10)
-ax2.axis["x2"].toggle(ticklabels=False)
-
-
-ax2.annotate("label direction=$-$", (0.5, 0), xycoords="axes fraction",
-             xytext=(0, -10), textcoords="offset points",
-             va="top", ha="center")
-
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_axis_direction.py b/doc/mpl_toolkits/axes_grid/figures/demo_axis_direction.py
deleted file mode 100644
index a198b0b1959e..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_axis_direction.py
+++ /dev/null
@@ -1,98 +0,0 @@
-
-
-import numpy as np
-import  mpl_toolkits.axisartist.angle_helper as angle_helper
-import  mpl_toolkits.axisartist.grid_finder as grid_finder
-from matplotlib.projections import PolarAxes
-from matplotlib.transforms import Affine2D
-
-import mpl_toolkits.axisartist as axisartist
-
-from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear
-
-
-def setup_axes(fig, rect):
-    """
-    polar projection, but in a rectangular box.
-    """
-
-    # see demo_curvelinear_grid.py for details
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle = 360,
-                                                     lat_cycle = None,
-                                                     lon_minmax = None,
-                                                     lat_minmax = (0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(12)
-    grid_locator2 = grid_finder.MaxNLocator(5)
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        grid_locator2=grid_locator2,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-
-    ax1 = axisartist.Subplot(fig, rect, grid_helper=grid_helper)
-    ax1.axis[:].toggle(ticklabels=False)
-
-    fig.add_subplot(ax1)
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    #ax1.grid(True)
-
-    return ax1
-
-
-def add_floating_axis1(ax1):
-    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 30)
-    axis.label.set_text(r"$\theta = 30^{\circ}$")
-    axis.label.set_visible(True)
-
-    return axis
-
-
-def add_floating_axis2(ax1):
-    ax1.axis["lon"] = axis = ax1.new_floating_axis(1, 6)
-    axis.label.set_text(r"$r = 6$")
-    axis.label.set_visible(True)
-
-    return axis
-
-
-import matplotlib.pyplot as plt
-fig = plt.figure(1, figsize=(8, 4.))
-fig.clf()
-fig.subplots_adjust(left=0.01, right=0.99, bottom=0.01, top=0.99,
-                    wspace=0.01, hspace=0.01)
-
-for i, d in enumerate(["bottom", "left", "top", "right"]):
-    ax1 = setup_axes(fig, rect=241++i)
-    axis = add_floating_axis1(ax1)
-    axis.set_axis_direction(d)
-    ax1.annotate(d, (0, 1), (5, -5),
-                 xycoords="axes fraction", textcoords="offset points",
-                 va="top", ha="left")
-
-for i, d in enumerate(["bottom", "left", "top", "right"]):
-    ax1 = setup_axes(fig, rect=245++i)
-    axis = add_floating_axis2(ax1)
-    axis.set_axis_direction(d)
-    ax1.annotate(d, (0, 1), (5, -5),
-                 xycoords="axes fraction", textcoords="offset points",
-                 va="top", ha="left")
-
-
-
-plt.show()
-
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_of_inset_axes.py b/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_of_inset_axes.py
deleted file mode 100644
index e4e708c6685a..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_of_inset_axes.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid.inset_locator import inset_axes, zoomed_inset_axes
-from mpl_toolkits.axes_grid.colorbar import colorbar
-
-def get_demo_image():
-    from matplotlib.cbook import get_sample_data
-    import numpy as np
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3,4,-4,3)
-
-
-fig = plt.figure(1, [5,4])
-ax = fig.add_subplot(111)
-
-Z, extent = get_demo_image()
-
-ax.set(aspect=1,
-       xlim=(-15, 15),
-       ylim=(-20, 5))
-
-
-axins = zoomed_inset_axes(ax, 2, loc=2) # zoom = 6
-im = axins.imshow(Z, extent=extent, interpolation="nearest",
-                  origin="lower")
-
-plt.xticks(visible=False)
-plt.yticks(visible=False)
-
-
-# colorbar
-cax = inset_axes(axins,
-                 width="5%", # width = 10% of parent_bbox width
-                 height="100%", # height : 50%
-                 loc=3,
-                 bbox_to_anchor=(1.05, 0., 1, 1),
-                 bbox_transform=axins.transAxes,
-                 borderpad=0,
-                 )
-
-
-colorbar(im, cax=cax) #, ticks=[1,2,3])
-
-
-plt.draw()
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_with_axes_divider.py b/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_with_axes_divider.py
deleted file mode 100644
index 3816f013fbdf..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_colorbar_with_axes_divider.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.axes_divider import make_axes_locatable
-
-from mpl_toolkits.axes_grid.colorbar import colorbar
-# from matplotlib.pyplot import colorbar
-
-fig = plt.figure(1, figsize=(6, 3))
-fig.subplots_adjust(wspace=0.5)
-
-ax1 = fig.add_subplot(121)
-im1 = ax1.imshow([[1,2],[3,4]])
-
-ax1_divider = make_axes_locatable(ax1)
-cax1 = ax1_divider.append_axes("right", size="7%", pad="2%")
-cb1 = colorbar(im1, cax=cax1)
-
-ax2 = fig.add_subplot(122)
-im2 = ax2.imshow([[1,2],[3,4]])
-
-ax2_divider = make_axes_locatable(ax2)
-cax2 = ax2_divider.append_axes("top", size="7%", pad="2%")
-cb2 = colorbar(im2, cax=cax2, orientation="horizontal")
-cax2.xaxis.set_ticks_position("top")
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_fixed_size_axes.py b/doc/mpl_toolkits/axes_grid/figures/demo_fixed_size_axes.py
deleted file mode 100644
index 9c2b651e571c..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_fixed_size_axes.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid \
-     import Divider, LocatableAxes, Size
-
-def demo_fixed_size_axes():
-
-    fig1 = plt.figure(1, (6, 6))
-
-    # The first items are for padding and the second items are for the axes.
-    # sizes are in inch.
-    h = [Size.Fixed(1.0), Size.Fixed(4.5)]
-    v = [Size.Fixed(0.7), Size.Fixed(5.)]
-
-    divider = Divider(fig1, (0.0, 0.0, 1., 1.), h, v, aspect=False)
-    # the width and height of the rectangle is ignored.
-
-    ax = LocatableAxes(fig1, divider.get_position())
-    ax.set_axes_locator(divider.new_locator(nx=1, ny=1))
-
-    fig1.add_axes(ax)
-
-    ax.plot([1,2,3])
-
-
-
-
-def demo_fixed_pad_axes():
-
-    fig = plt.figure(2, (6, 6))
-
-    # The first & third items are for padding and the second items are for the axes.
-    # sizes are in inch.
-    h = [Size.Fixed(1.0), Size.Scaled(1.), Size.Fixed(.2),]
-    v = [Size.Fixed(0.7), Size.Scaled(1.), Size.Fixed(.5),]
-
-    divider = Divider(fig, (0.0, 0.0, 1., 1.), h, v, aspect=False)
-    # the width and height of the rectangle is ignored.
-
-    ax = LocatableAxes(fig, divider.get_position())
-    ax.set_axes_locator(divider.new_locator(nx=1, ny=1))
-
-    fig.add_axes(ax)
-
-    ax.plot([1,2,3])
-
-
-
-
-
-
-if __name__ == "__main__":
-    demo_fixed_size_axes()
-    demo_fixed_pad_axes()
-
-    plt.draw()
-    plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_new_colorbar.py b/doc/mpl_toolkits/axes_grid/figures/demo_new_colorbar.py
deleted file mode 100644
index 88a722ee2241..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_new_colorbar.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.rcParams["text.usetex"]=False
-
-fig = plt.figure(1, figsize=(6, 3))
-
-ax1 = fig.add_subplot(121)
-im1 = ax1.imshow([[1,2],[3,4]])
-cb1 = plt.colorbar(im1)
-cb1.ax.set_yticks([1, 3])
-ax1.set_title("Original MPL's colorbar w/\nset_yticks([1,3])", size=10)
-
-from mpl_toolkits.axes_grid.colorbar import colorbar
-ax2 = fig.add_subplot(122)
-im2 = ax2.imshow([[1,2],[3,4]])
-cb2 = colorbar(im2)
-cb2.ax.set_yticks([1, 3])
-ax2.set_title("AxesGrid's colorbar w/\nset_yticks([1,3])", size=10)
-
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_parasite_axes.py b/doc/mpl_toolkits/axes_grid/figures/demo_parasite_axes.py
deleted file mode 100644
index a42c9b6493fc..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_parasite_axes.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from mpl_toolkits.axes_grid.parasite_axes import HostAxes, ParasiteAxes
-import matplotlib.pyplot as plt
-
-if __name__ == "__main__":
-    fig = plt.figure(1)
-
-    host = HostAxes(fig, [0.15, 0.1, 0.65, 0.8])
-    par1 = ParasiteAxes(host, sharex=host)
-    par2 = ParasiteAxes(host, sharex=host)
-    host.parasites.append(par1)
-    host.parasites.append(par2)
-
-    host.set_ylabel("Density")
-    host.set_xlabel("Distance")
-
-    host.axis["right"].set_visible(False)
-    par1.axis["right"].set_visible(True)
-    par1.set_ylabel("Temperature")
-
-    par1.axis["right"].major_ticklabels.set_visible(True)
-    par1.axis["right"].label.set_visible(True)
-
-    par2.set_ylabel("Velocity")
-    offset = (60, 0)
-    new_axisline = par2._grid_helper.new_fixed_axis
-    par2.axis["right2"] = new_axisline(loc="right",
-                                       axes=par2,
-                                       offset=offset)
-
-
-    fig.add_axes(host)
-
-    host.set_xlim(0, 2)
-    host.set_ylim(0, 2)
-
-    host.set_xlabel("Distance")
-    host.set_ylabel("Density")
-    par1.set_ylabel("Temperature")
-
-    p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
-    p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
-    p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
-
-    par1.set_ylim(0, 4)
-    par2.set_ylim(1, 65)
-
-    host.legend()
-
-    host.axis["left"].label.set_color(p1.get_color())
-    par1.axis["right"].label.set_color(p2.get_color())
-    par2.axis["right2"].label.set_color(p3.get_color())
-
-    plt.draw()
-    plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_alignment.py b/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_alignment.py
deleted file mode 100644
index 78f81ad47df4..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_alignment.py
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-
-def setup_axes(fig, rect):
-    
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_subplot(ax)
-
-    ax.set_yticks([0.2, 0.8])
-    ax.set_yticklabels(["short", "loooong"])
-    ax.set_xticks([0.2, 0.8])
-    ax.set_xticklabels([r"$\frac{1}{2}\pi$", r"$\pi$"])
-
-    return ax
-
-fig = plt.figure(1, figsize=(3, 5))
-fig.subplots_adjust(left=0.5, hspace=0.7)
-
-
-
-ax = setup_axes(fig, 311)
-ax.set_ylabel("ha=right")
-ax.set_xlabel("va=baseline")
-
-ax = setup_axes(fig, 312)
-ax.axis["left"].major_ticklabels.set_ha("center")
-ax.axis["bottom"].major_ticklabels.set_va("top")
-ax.set_ylabel("ha=center")
-ax.set_xlabel("va=top")
-
-ax = setup_axes(fig, 313)
-ax.axis["left"].major_ticklabels.set_ha("left")
-ax.axis["bottom"].major_ticklabels.set_va("bottom")
-ax.set_ylabel("ha=left")
-ax.set_xlabel("va=bottom")
diff --git a/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_direction.py b/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_direction.py
deleted file mode 100644
index cd205991363a..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/demo_ticklabel_direction.py
+++ /dev/null
@@ -1,52 +0,0 @@
-
-import matplotlib.pyplot as plt
-import mpl_toolkits.axes_grid.axislines as axislines
-
-
-def setup_axes(fig, rect):
-    
-    ax = axislines.Subplot(fig, rect)
-    fig.add_subplot(ax)
-
-    ax.set_yticks([0.2, 0.8])
-    #ax.set_yticklabels(["short", "loooong"])
-    ax.set_xticks([0.2, 0.8])
-    #ax.set_xticklabels([r"$\frac{1}{2}\pi$", r"$\pi$"])
-
-    return ax
-
-fig = plt.figure(1, figsize=(6, 3))
-fig.subplots_adjust(bottom=0.2)
-
-
-
-ax = setup_axes(fig, 131)
-for axis in ax.axis.values(): axis.major_ticks.set_tick_out(True)
-#or you can simply do "ax.axis[:].major_ticks.set_tick_out(True)"
-
-
-
-
-ax = setup_axes(fig, 132)
-ax.axis["left"].set_axis_direction("right")
-ax.axis["bottom"].set_axis_direction("top")
-ax.axis["right"].set_axis_direction("left")
-ax.axis["top"].set_axis_direction("bottom")
-
-#ax.axis["left"].major_ticklabels.set_pad(0)
-#ax.axis["bottom"].major_ticklabels.set_pad(10)
-
-
-
-ax = setup_axes(fig, 133)
-ax.axis["left"].set_axis_direction("right")
-ax.axis[:].major_ticks.set_tick_out(True)
-
-ax.axis["left"].label.set_text("Long Label Left")
-ax.axis["bottom"].label.set_text("Label Bottom")
-ax.axis["right"].label.set_text("Long Label Right")
-ax.axis["right"].label.set_visible(True)
-ax.axis["left"].label.set_pad(0)
-ax.axis["bottom"].label.set_pad(10)
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/parasite_simple.py b/doc/mpl_toolkits/axes_grid/figures/parasite_simple.py
deleted file mode 100644
index c66d3c2ce302..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/parasite_simple.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from mpl_toolkits.axes_grid1 import host_subplot
-import matplotlib.pyplot as plt
-
-host = host_subplot(111)
-
-par = host.twinx()
-
-host.set_xlabel("Distance")
-host.set_ylabel("Density")
-par.set_ylabel("Temperature")
-
-p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
-p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")
-
-leg = plt.legend()
-
-host.yaxis.get_label().set_color(p1.get_color())
-leg.texts[0].set_color(p1.get_color())
-
-par.yaxis.get_label().set_color(p2.get_color())
-leg.texts[1].set_color(p2.get_color())
-
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider1.py b/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider1.py
deleted file mode 100644
index 7141fe88ce13..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider1.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from mpl_toolkits.axes_grid import Size, Divider
-import matplotlib.pyplot as plt
-
-
-fig1 = plt.figure(1, (6, 6))
-
-# fixed size in inch
-horiz = [Size.Fixed(1.), Size.Fixed(.5), Size.Fixed(1.5),
-         Size.Fixed(.5)] 
-vert = [Size.Fixed(1.5), Size.Fixed(.5), Size.Fixed(1.)]
-
-rect = (0.1, 0.1, 0.8, 0.8)
-# divide the axes rectangle into grid whose size is specified by horiz * vert
-divider = Divider(fig1, rect, horiz, vert, aspect=False)
-
-# the rect parameter will be ignore as we will set axes_locator
-ax1 = fig1.add_axes(rect, label="1")
-ax2 = fig1.add_axes(rect, label="2")
-ax3 = fig1.add_axes(rect, label="3")
-ax4 = fig1.add_axes(rect, label="4")
-
-ax1.set_axes_locator(divider.new_locator(nx=0, ny=0))
-ax2.set_axes_locator(divider.new_locator(nx=0, ny=2))
-ax3.set_axes_locator(divider.new_locator(nx=2, ny=2))
-ax4.set_axes_locator(divider.new_locator(nx=2, nx1=4, ny=0))
-
-
-
-plt.draw()
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider2.py b/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider2.py
deleted file mode 100644
index 7b866c3c0581..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider2.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import mpl_toolkits.axes_grid.axes_size as Size
-from mpl_toolkits.axes_grid import Divider
-import matplotlib.pyplot as plt
-
-fig1 = plt.figure(1, (5.5, 4.))
-
-# the rect parameter will be ignore as we will set axes_locator
-rect = (0.1, 0.1, 0.8, 0.8)
-ax = [fig1.add_axes(rect, label="%d"%i) for i in range(4)]
-
-horiz = [Size.Scaled(1.5), Size.Fixed(.5), Size.Scaled(1.),
-         Size.Scaled(.5)]
-
-vert = [Size.Scaled(1.), Size.Fixed(.5), Size.Scaled(1.5)]
-
-# divide the axes rectangle into grid whose size is specified by horiz * vert
-divider = Divider(fig1, rect, horiz, vert, aspect=False)
-
-ax[0].set_axes_locator(divider.new_locator(nx=0, ny=0))
-ax[1].set_axes_locator(divider.new_locator(nx=0, ny=2))
-ax[2].set_axes_locator(divider.new_locator(nx=2, ny=2))
-ax[3].set_axes_locator(divider.new_locator(nx=2, nx1=4, ny=0))
-
-for ax1 in ax:
-    plt.setp(ax1.get_xticklabels()+ax1.get_yticklabels(),
-             visible=False)
-
-plt.draw()
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider3.py b/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider3.py
deleted file mode 100644
index 203bdd5068eb..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axes_divider3.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import mpl_toolkits.axes_grid.axes_size as Size
-from mpl_toolkits.axes_grid import Divider
-import matplotlib.pyplot as plt
-
-
-fig1 = plt.figure(1, (5.5, 4))
-
-# the rect parameter will be ignore as we will set axes_locator
-rect = (0.1, 0.1, 0.8, 0.8)
-ax = [fig1.add_axes(rect, label="%d"%i) for i in range(4)]
-
-
-horiz = [Size.AxesX(ax[0]), Size.Fixed(.5), Size.AxesX(ax[1])]
-vert = [Size.AxesY(ax[0]), Size.Fixed(.5), Size.AxesY(ax[2])]
-
-# divide the axes rectangle into grid whose size is specified by horiz * vert
-divider = Divider(fig1, rect, horiz, vert, aspect=False)
-
-
-ax[0].set_axes_locator(divider.new_locator(nx=0, ny=0))
-ax[1].set_axes_locator(divider.new_locator(nx=2, ny=0))
-ax[2].set_axes_locator(divider.new_locator(nx=0, ny=2))
-ax[3].set_axes_locator(divider.new_locator(nx=2, ny=2))
-
-ax[0].set_xlim(0, 2)
-ax[1].set_xlim(0, 1)
-
-ax[0].set_ylim(0, 1)
-ax[2].set_ylim(0, 2)
-
-divider.set_aspect(1.)
-
-for ax1 in ax:
-    plt.setp(ax1.get_xticklabels()+ax1.get_yticklabels(),
-             visible=False)
-
-plt.draw()
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction01.py b/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction01.py
deleted file mode 100644
index d182d5826949..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction01.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-fig = plt.figure(figsize=(4,2.5))
-ax1 = fig.add_subplot(axisartist.Subplot(fig, "111"))
-fig.subplots_adjust(right=0.8)
-
-ax1.axis["left"].major_ticklabels.set_axis_direction("top")
-ax1.axis["left"].label.set_text("Label")
-
-ax1.axis["right"].label.set_visible(True)
-ax1.axis["right"].label.set_text("Label")
-ax1.axis["right"].label.set_axis_direction("left")
-
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction03.py b/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction03.py
deleted file mode 100644
index 0cffb9ffe53c..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axis_direction03.py
+++ /dev/null
@@ -1,31 +0,0 @@
-
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as axisartist
-
-def setup_axes(fig, rect):
-    ax = axisartist.Subplot(fig, rect)
-    fig.add_subplot(ax)
-
-    ax.set_yticks([0.2, 0.8])
-    ax.set_xticks([0.2, 0.8])
-
-    return ax
-    
-fig = plt.figure(1, figsize=(5, 2))
-fig.subplots_adjust(wspace=0.4, bottom=0.3)
-
-ax1 = setup_axes(fig, "121")
-ax1.set_xlabel("X-label")
-ax1.set_ylabel("Y-label")
-
-ax1.axis[:].invert_ticklabel_direction()
-
-ax2 = setup_axes(fig, "122")
-ax2.set_xlabel("X-label")
-ax2.set_ylabel("Y-label")
-
-ax2.axis[:].major_ticks.set_tick_out(True)
-
-plt.show()
-
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axis_pad.py b/doc/mpl_toolkits/axes_grid/figures/simple_axis_pad.py
deleted file mode 100644
index bfbfb00b4343..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axis_pad.py
+++ /dev/null
@@ -1,112 +0,0 @@
-
-
-import numpy as np
-import  mpl_toolkits.axisartist.angle_helper as angle_helper
-import  mpl_toolkits.axisartist.grid_finder as grid_finder
-from matplotlib.projections import PolarAxes
-from matplotlib.transforms import Affine2D
-
-import mpl_toolkits.axisartist as axisartist
-
-from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear
-
-
-def setup_axes(fig, rect):
-    """
-    polar projection, but in a rectangular box.
-    """
-
-    # see demo_curvelinear_grid.py for details
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle = 360,
-                                                     lat_cycle = None,
-                                                     lon_minmax = None,
-                                                     lat_minmax = (0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(12)
-    grid_locator2 = grid_finder.MaxNLocator(5)
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        grid_locator2=grid_locator2,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-
-    ax1 = axisartist.Subplot(fig, rect, grid_helper=grid_helper)
-    #ax1.axis[:].toggle(all=False)
-    ax1.axis[:].set_visible(False)
-
-    fig.add_subplot(ax1)
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    #ax1.grid(True)
-
-    return ax1
-
-
-def add_floating_axis1(ax1):
-    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 30)
-    axis.label.set_text(r"$\theta = 30^{\circ}$")
-    axis.label.set_visible(True)
-
-    return axis
-
-
-def add_floating_axis2(ax1):
-    ax1.axis["lon"] = axis = ax1.new_floating_axis(1, 6)
-    axis.label.set_text(r"$r = 6$")
-    axis.label.set_visible(True)
-
-    return axis
-
-
-import matplotlib.pyplot as plt
-fig = plt.figure(1, figsize=(9, 3.))
-fig.clf()
-fig.subplots_adjust(left=0.01, right=0.99, bottom=0.01, top=0.99,
-                    wspace=0.01, hspace=0.01)
-
-
-def ann(ax1, d):
-    if plt.rcParams["text.usetex"]:
-        d = d.replace("_", r"\_")
-                    
-    ax1.annotate(d, (0.5, 1), (5, -5),
-                 xycoords="axes fraction", textcoords="offset points",
-                 va="top", ha="center")
-
-ax1 = setup_axes(fig, rect=141)
-axis = add_floating_axis1(ax1)
-ann(ax1, r"default")
-
-ax1 = setup_axes(fig, rect=142)
-axis = add_floating_axis1(ax1)
-axis.major_ticklabels.set_pad(10)
-ann(ax1, r"ticklabels.set_pad(10)")
-
-ax1 = setup_axes(fig, rect=143)
-axis = add_floating_axis1(ax1)
-axis.label.set_pad(20)
-ann(ax1, r"label.set_pad(20)")
-
-ax1 = setup_axes(fig, rect=144)
-axis = add_floating_axis1(ax1)
-axis.major_ticks.set_tick_out(True)
-ann(ax1, "ticks.set_tick_out(True)")
-
-
-#ax1.axis["bottom"].toggle(all=True)
-
-plt.show()
-
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisartist1.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisartist1.py
deleted file mode 100644
index 6093ea205b6b..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axisartist1.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import matplotlib.pyplot as plt
-import mpl_toolkits.axisartist as AA
-
-fig = plt.figure(1)
-fig.subplots_adjust(right=0.85)
-ax = AA.Subplot(fig, 1, 1, 1)
-fig.add_subplot(ax)
-
-# make some axis invisible
-ax.axis["bottom", "top", "right"].set_visible(False)
-
-# make an new axis along the first axis axis (x-axis) which pass
-# throught y=0.
-ax.axis["y=0"] = ax.new_floating_axis(nth_coord=0, value=0,
-                                      axis_direction="bottom")
-ax.axis["y=0"].toggle(all=True)
-ax.axis["y=0"].label.set_text("y = 0")
-
-ax.set_ylim(-2, 4)
-
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisline.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisline.py
deleted file mode 100644
index ef74cb4ebfdc..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axisline.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid.axislines import SubplotZero
-
-if 1:
-
-    fig = plt.figure(1)
-    fig.subplots_adjust(right=0.85)
-    ax = SubplotZero(fig, 1, 1, 1)
-    fig.add_subplot(ax)
-
-    # make right and top axis invisible
-    ax.axis["right"].set_visible(False)
-    ax.axis["top"].set_visible(False)
-
-    # make xzero axis (horizontal axis line through y=0) visible.
-    ax.axis["xzero"].set_visible(True)
-    ax.axis["xzero"].label.set_text("Axis Zero")
-
-    ax.set_ylim(-2, 4)
-    ax.set_xlabel("Label X")
-    ax.set_ylabel("Label Y")
-    # or
-    #ax.axis["bottom"].label.set_text("Label X")
-    #ax.axis["left"].label.set_text("Label Y")
-
-    # make new (right-side) yaxis, but wth some offset
-    offset = (20, 0)
-    new_axisline = ax.get_grid_helper().new_fixed_axis
-
-    ax.axis["right2"] = new_axisline(loc="right",
-                                     offset=offset,
-                                     axes=ax)
-    ax.axis["right2"].label.set_text("Label Y2")
-
-    ax.plot([-2,3,2])
-    plt.draw()
-    plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisline2.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisline2.py
deleted file mode 100644
index 5440aec168a1..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axisline2.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.axislines import SubplotZero
-import numpy as np
-
-fig = plt.figure(1, (4,3))
-
-# a subplot with two additiona axis, "xzero" and "yzero". "xzero" is
-# y=0 line, and "yzero" is x=0 line.
-ax = SubplotZero(fig, 1, 1, 1)
-fig.add_subplot(ax)
-
-# make xzero axis (horizontal axis line through y=0) visible.
-ax.axis["xzero"].set_visible(True)
-ax.axis["xzero"].label.set_text("Axis Zero")
-
-# make other axis (bottom, top, right) invisible.
-for n in ["bottom", "top", "right"]:
-    ax.axis[n].set_visible(False)
-
-xx = np.arange(0, 2*np.pi, 0.01)
-ax.plot(xx, np.sin(xx))
-
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisline3.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisline3.py
deleted file mode 100644
index 68d42677cd54..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_axisline3.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.axislines import Subplot
-
-fig = plt.figure(1, (3,3))
-
-ax = Subplot(fig, 111)
-fig.add_subplot(ax)
-
-ax.axis["right"].set_visible(False)
-ax.axis["top"].set_visible(False)
-
-plt.show()
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_colorbar.py b/doc/mpl_toolkits/axes_grid/figures/simple_colorbar.py
deleted file mode 100644
index c2f67d9a16e9..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_colorbar.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import make_axes_locatable
-import numpy as np
-
-ax = plt.subplot(111)
-im = ax.imshow(np.arange(100).reshape((10,10)))
-
-# create an axes on the right side of ax. The width of cax will be 5%
-# of ax and the padding between cax and ax will be fixed at 0.05 inch.
-divider = make_axes_locatable(ax)
-cax = divider.append_axes("right", size="5%", pad=0.05)
-
-plt.colorbar(im, cax=cax)
-
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_rgb.py b/doc/mpl_toolkits/axes_grid/figures/simple_rgb.py
deleted file mode 100644
index 14379d3b9d45..000000000000
--- a/doc/mpl_toolkits/axes_grid/figures/simple_rgb.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
-
-def get_demo_image():
-    import numpy as np
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3,4,-4,3)
-
-def get_rgb():
-    Z, extent = get_demo_image()
-
-    Z[Z<0] = 0.
-    Z = Z/Z.max()
-
-    R = Z[:13,:13]
-    G = Z[2:,2:]
-    B = Z[:13,2:]
-
-    return R, G, B
-
-
-fig = plt.figure(1)
-ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
-
-r, g, b = get_rgb()
-kwargs = dict(origin="lower", interpolation="nearest")
-ax.imshow_rgb(r, g, b, **kwargs)
-
-ax.RGB.set_xlim(0., 9.5)
-ax.RGB.set_ylim(0.9, 10.6)
-
-
-plt.draw()
-plt.show()
diff --git a/doc/mpl_toolkits/axes_grid/index.rst b/doc/mpl_toolkits/axes_grid/index.rst
deleted file mode 100644
index 90f223c8436a..000000000000
--- a/doc/mpl_toolkits/axes_grid/index.rst
+++ /dev/null
@@ -1,36 +0,0 @@
-
-.. _toolkit_axesgrid-index:
-
-Matplotlib AxesGrid Toolkit
-===========================
-
-The matplotlib AxesGrid toolkit is a collection of helper classes to
-ease displaying multiple images in matplotlib.  While the aspect
-parameter in matplotlib adjust the position of the single axes,
-AxesGrid toolkit provides a framework to adjust the position of
-multiple axes according to their aspects.
-
-
-.. image:: ../../_static/demo_axes_grid.png
-
-.. note::
-   AxesGrid toolkit has been a part of matplotlib since v
-   0.99. Originally, the toolkit had a single namespace of
-   *axes_grid*. In more recent version (since svn r8226), the toolkit
-   has divided into two separate namespace (*axes_grid1* and *axisartist*).
-   While *axes_grid* namespace is maintained for the backward compatibility,
-   use of *axes_grid1* and *axisartist* is recommended.
-
-.. warning::
-   *axes_grid* and *axisartist* (but not *axes_grid1*) uses
-   a custom Axes class (derived from the mpl's original Axes class).
-   As a side effect, some commands (mostly tick-related) do not work.
-   Use *axes_grid1* to avoid this, or see how things are different in
-   *axes_grid* and *axisartist* (LINK needed)
-
-.. toctree::
-   :maxdepth: 2
-
-   users/overview.rst
-   users/index.rst
-   api/index.rst
diff --git a/doc/mpl_toolkits/axes_grid/users/axes_divider.rst b/doc/mpl_toolkits/axes_grid/users/axes_divider.rst
deleted file mode 100644
index fe0b782306c5..000000000000
--- a/doc/mpl_toolkits/axes_grid/users/axes_divider.rst
+++ /dev/null
@@ -1,93 +0,0 @@
-AxesDivider
-===========
-
-The axes_divider module provide helper classes to adjust the axes
-positions of set of images in the drawing time.
-
-* :mod:`~mpl_toolkits.axes_grid.axes_size` provides a classes of
-  units that the size of each axes will be determined. For example,
-  you can specify a fixed size
-
-* :class:`~mpl_toolkits.axes_grid.axes_size.Divider` this is the class
-  that is used calculates the axes position. It divides the given
-  rectangular area into several areas. You initialize the divider by
-  setting the horizontal and vertical list of sizes that the division
-  will be based on. You then use the new_locator method, whose return
-  value is a callable object that can be used to set the axes_locator
-  of the axes.
-
-
-You first initialize the divider by specifying its grids, i.e.,
-horizontal and vertical.
-
-for example,::
-
-    rect = [0.2, 0.2, 0.6, 0.6]
-    horiz=[h0, h1, h2, h3]
-    vert=[v0, v1, v2]
-    divider = Divider(fig, rect, horiz, vert)
-
-where, rect is a bounds of the box that will be divided and h0,..h3,
-v0,..v2 need to be an instance of classes in the
-:mod:`~mpl_toolkits.axes_grid.axes_size`.  They have *get_size* method
-that returns a tuple of two floats. The first float is the relative
-size, and the second float is the absolute size. Consider a following
-grid.
-
-+-----+-----+-----+-----+
-| v0  |     |     |     |
-+-----+-----+-----+-----+
-| v1  |     |     |     |
-+-----+-----+-----+-----+
-|h0,v2| h1  | h2  | h3  |
-+-----+-----+-----+-----+
-
-
-* v0 => 0, 2
-* v1 => 2, 0
-* v2 => 3, 0
-
-The height of the bottom row is always 2 (axes_divider internally
-assumes that the unit is inch). The first and the second rows with
-height ratio of 2:3. For example, if the total height of the grid 6,
-then the first and second row will each occupy 2/(2+3) and 3/(2+3) of
-(6-1) inches. The widths of columns (horiz) will be similarly
-determined. When aspect ratio is set, the total height (or width) will
-be adjusted accordingly.
-
-
-The :mod:`mpl_toolkits.axes_grid.axes_size` contains several classes
-that can be used to set the horizontal and vertical configurations. For
-example, for the vertical configuration above will be::
-
-  from mpl_toolkits.axes_grid.axes_size import Fixed, Scaled
-  vert = [Fixed(2), Scaled(2), Scaled(3)]
-
-After you set up the divider object, then you create a locator
-instance which will be given to the axes.::
-
-     locator = divider.new_locator(nx=0, ny=1)
-     ax.set_axes_locator(locator)
-
-The return value of the new_locator method is a instance of the
-AxesLocator class. It is a callable object that returns the
-location and size of the cell at the first column and the second row.
-You may create a locator that spans over multiple cells.::
-
-     locator = divider.new_locator(nx=0, nx=2, ny=1)
-
-The above locator, when called, will return the position and size of
-the cells spanning the first and second column and the first row. You
-may consider it as [0:2, 1].
-
-See the example,
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axes_divider2.py
-   :include-source:
-
-You can adjust the size of the each axes according to their x or y
-data limits (AxesX and AxesY), similar to the axes aspect parameter.
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axes_divider3.py
-   :include-source:
-
diff --git a/doc/mpl_toolkits/axes_grid/users/axisartist.rst b/doc/mpl_toolkits/axes_grid/users/axisartist.rst
deleted file mode 100644
index 67cdf64ecfa1..000000000000
--- a/doc/mpl_toolkits/axes_grid/users/axisartist.rst
+++ /dev/null
@@ -1,457 +0,0 @@
-.. _axisartist-manual:
-
-====================
-AXISARTIST namespace
-====================
-
-The AxisArtist namespace includes a derived Axes implementation. The
-biggest difference is that the artists responsible to draw axis line,
-ticks, ticklabel and axis labels are separated out from the mpl's Axis
-class, which are much more than artists in the original mpl. This
-change was strongly motivated to support curvilinear grid. Here are a
-few things that mpl_tootlkits.axisartist.Axes is different from original
-Axes from mpl.
-
-* Axis elements (axis line(spine), ticks, ticklabel and axis labels)
-  are drawn by a AxisArtist instance. Unlike Axis, left, right, top
-  and bottom axis are drawn by separate artists. And each of them may
-  have different tick location and different tick labels.
-
-* gridlines are drawn by a Gridlines instance. The change was
-  motivated that in curvilinear coordinate, a gridline may not cross
-  axis-lines (i.e., no associated ticks). In the original Axes class,
-  gridlines are tied to ticks.
-
-* ticklines can be rotated if necessary (i.e, along the gridlines)
-
-In summary, all these changes was to support
-
-* a curvilinear grid.
-* a floating axis
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_floating_axis.py
-
-
-*mpl_toolkits.axisartist.Axes* class defines a *axis* attribute, which
-is a dictionary of AxisArtist instances. By default, the dictionary
-has 4 AxisArtist instances, responsible for drawing of left, right,
-bottom and top axis.
-
-xaxis and yaxis attributes are still available, however they are set
-to not visible. As separate artists are used for rendering axis, some
-axis-related method in mpl may have no effect.
-In addition to AxisArtist instances, the mpl_toolkits.axisartist.Axes will
-have *gridlines* attribute (Gridlines), which obviously draws grid
-lines.
-
-In both AxisArtist and Gridlines, the calculation of tick and grid
-location is delegated to an instance of GridHelper class.
-mpl_toolkits.axisartist.Axes class uses GridHelperRectlinear as a grid
-helper. The GridHelperRectlinear class is a wrapper around the *xaxis*
-and *yaxis* of mpl's original Axes, and it was meant to work as the
-way how mpl's original axes works. For example, tick location changes
-using set_ticks method and etc. should work as expected. But change in
-artist properties (e.g., color) will not work in general, although
-some effort has been made so that some often-change attributes (color,
-etc.) are respected.
-
-
-AxisArtist
-==========
-
-AxisArtist can be considered as a container artist with following
-attributes which will draw ticks, labels, etc.
-
- * line
- * major_ticks, major_ticklabels
- * minor_ticks, minor_ticklabels
- * offsetText
- * label
-
-
-line
-----
-
-Derived from Line2d class. Responsible for drawing a spinal(?) line.
-
-major_ticks, minor_ticks
-------------------------
-
-Derived from Line2d class. Note that ticks are markers.
-
-
-major_ticklabels, minor_ticklabels
-----------------------------------
-
-Derived from Text. Note that it is not a list of Text artist, but a
-single artist (similar to a collection).
-
-axislabel
----------
-
-Derived from Text.
-
-
-Default AxisArtists
--------------------
-
-By default, following for axis artists are defined.::
-
-  ax.axis["left"], ax.axis["bottom"], ax.axis["right"], ax.axis["top"]
-
-The ticklabels and axislabel of the top and the right axis are set to
-not visible.
-
-For example, if you want to change the color attributes of
-major_ticklabels of the bottom x-axis ::
-
-  ax.axis["bottom"].major_ticklabels.set_color("b")
-
-Similarly, to make ticklabels invisible ::
-
-  ax.axis["bottom"].major_ticklabels.set_visible(False)
-
-AxisAritst provides a helper method to control the visibility of ticks,
-ticklabels, and label. To make ticklabel invisible, ::
-
-  ax.axis["bottom"].toggle(ticklabels=False)
-
-To make all of ticks, ticklabels, and (axis) label invisible ::
-    
-      ax.axis["bottom"].toggle(all=False)
-    
-To turn all off but ticks on ::
-    
-      ax.axis["bottom"].toggle(all=False, ticks=True)
-    
-To turn all on but (axis) label off ::
-    
-      ax.axis["bottom"].toggle(all=True, label=False))
-
-
-ax.axis's __getitem__ method can take multiple axis names. For
-example, to turn ticklabels of "top" and "right" axis on, ::
-
-      ax.axis["top","right"].toggle(ticklabels=True))
-
-Note that 'ax.axis["top","right"]' returns a simple proxy object that translate above code to something like below. ::
-
-      for n in ["top","right"]:
-        ax.axis[n].toggle(ticklabels=True))
-
-So, any return values in the for loop are ignored. And you should not
-use it anything more than a simple method. 
-
-Like the list indexing ":" means all items, i.e., ::
-
-      ax.axis[:].major_ticks.set_color("r")
-
-changes tick color in all axis.
-
-
-HowTo
-=====
-
-1. Changing tick locations and label.
-
-  Same as the original mpl's axes.::
-
-   ax.set_xticks([1,2,3])
-
-2. Changing axis properties like color, etc.
-
-  Change the properties of appropriate artists. For example, to change
-  the color of the ticklabels::
-
-    ax.axis["left"].major_ticklabels.set_color("r")
-
-3. To change the attributes of multiple axis::
-
-    ax.axis["left","bottom"].major_ticklabels.set_color("r")
-
-   or to change the attributes of all axis::
-
-    ax.axis[:].major_ticklabels.set_color("r")
-
-4. To change the tick size (length), you need to use
-    axis.major_ticks.set_ticksize method. To change the direction of
-    the ticks (ticks are in opposite direction of ticklabels by
-    default), use axis.major_ticks.set_tick_out method.
-
-    To change the pad between ticks and ticklabels, use
-    axis.major_ticklabels.set_pad method.
-
-    To change the pad between ticklabels and axis label,
-    axis.label.set_pad method.
-
-
-Rotation and Alignment of TickLabels
-====================================
-
-This is also quite different from the original mpl and can be
-confusing. When you want to rotate the ticklabels, first consider
-using "set_axis_direction" method. ::
-
-  ax1.axis["left"].major_ticklabels.set_axis_direction("top")
-  ax1.axis["right"].label.set_axis_direction("left")
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axis_direction01.py
-
-The parameter for set_axis_direction is one of ["left", "right",
-"bottom", "top"].
-
-You must understand some underlying concept of directions.
-
- 1. There is a reference direction which is defined as the direction
-    of the axis line with increasing coordinate.  For example, the
-    reference direction of the left x-axis is from bottom to top.
-
-   .. plot:: mpl_toolkits/axes_grid/figures/axis_direction_demo_step01.py
-
-   The direction, text angle, and alignments of the ticks, ticklabels and
-   axis-label is determined with respect to the reference direction
-
- 2. *ticklabel_direction* is either the right-hand side (+) of the
-    reference direction or the left-hand side (-).
-
-   .. plot:: mpl_toolkits/axes_grid/figures/axis_direction_demo_step02.py
-
- 3. same for the *label_direction*
-
-   .. plot:: mpl_toolkits/axes_grid/figures/axis_direction_demo_step03.py
-
- 4. ticks are by default drawn toward the opposite direction of the ticklabels.
-
- 5. text rotation of ticklabels and label is determined in reference
-    to the *ticklabel_direction* or *label_direction*,
-    respectively. The rotation of ticklabels and label is anchored.
-
-   .. plot:: mpl_toolkits/axes_grid/figures/axis_direction_demo_step04.py
-
-
-On the other hand, there is a concept of "axis_direction". This is a
-default setting of above properties for each, "bottom", "left", "top",
-and "right" axis. 
-
- ========== =========== ========= ========== ========= ==========
-    ?           ?        left      bottom      right      top
- ---------- ----------- --------- ---------- --------- ----------
- axislabel   direction      '-'       '+'        '+'      '-'
- axislabel   rotation      180         0          0       180
- axislabel   va           center    top       center     bottom
- axislabel   ha           right    center      right     center
- ticklabel   direction      '-'       '+'        '+'      '-'
- ticklabels  rotation       90         0        -90       180
- ticklabel   ha           right    center      right     center
- ticklabel   va           center   baseline    center   baseline
- ========== =========== ========= ========== ========= ==========
-  
-
-And, 'set_axis_direction("top")' means to adjust the text rotation
-etc, for settings suitable for "top" axis. The concept of axis
-direction can be more clear with curved axis.
-
-.. plot:: mpl_toolkits/axes_grid/figures/demo_axis_direction.py
-
-The axis_direction can be adjusted in the AxisArtist level, or in the
-level of its child arists, i.e., ticks, ticklabels, and axis-label. ::
-
-  ax1.axis["left"].set_axis_direction("top")
-
-changes axis_direction of all the associated artist with the "left"
-axis, while ::
-
-  ax1.axis["left"].major_ticklabels.set_axis_direction("top")
-
-changes the axis_direction of only the major_ticklabels.  Note that
-set_axis_direction in the AxisArtist level changes the
-ticklabel_direction and label_direction, while changing the
-axis_direction of ticks, ticklabels, and axis-label does not affect
-them.
-
-
-If you want to make ticks outward and ticklabels inside the axes, 
-use invert_ticklabel_direction method. ::
-
-   ax.axis[:].invert_ticklabel_direction()
- 
-A related method is "set_tick_out". It makes ticks outward (as a
-matter of fact, it makes ticks toward the opposite direction of the
-default direction). ::
-
-   ax.axis[:].major_ticks.set_tick_out(True)
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axis_direction03.py
-
-
-So, in summary, 
-
- * AxisArtist's methods
-    * set_axis_direction : "left", "right", "bottom", or "top"
-    * set_ticklabel_direction : "+" or "-"
-    * set_axislabel_direction : "+" or "-"
-    * invert_ticklabel_direction
- * Ticks' methods (major_ticks and minor_ticks)
-    * set_tick_out : True or False
-    * set_ticksize : size in points
- * TickLabels' methods (major_ticklabels and minor_ticklabels)
-    * set_axis_direction : "left", "right", "bottom", or "top"
-    * set_rotation : angle with respect to the reference direction
-    * set_ha and set_va : see below
- * AxisLabels' methods (label)
-    * set_axis_direction : "left", "right", "bottom", or "top"
-    * set_rotation : angle with respect to the reference direction
-    * set_ha and set_va
-
-
-
-Adjusting ticklabels alignment
-------------------------------
-
-Alignment of TickLabels are treated specially. See below
-
-.. plot:: mpl_toolkits/axes_grid/figures/demo_ticklabel_alignment.py
-
-Adjusting  pad
---------------
-
-To change the pad between ticks and ticklabels ::
-
-  ax.axis["left"].major_ticklabels.set_pad(10)
-
-Or ticklabels and axis-label ::
-
-  ax.axis["left"].label.set_pad(10)
-
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axis_pad.py
-
-
-GridHelper
-==========
-
-To actually define a curvilinear coordinate, you have to use your own
-grid helper. A generalised version of grid helper class is supplied
-and this class should suffice in most of cases. A user may provide
-two functions which defines a transformation (and its inverse pair)
-from the curved coordinate to (rectilinear) image coordinate. Note that
-while ticks and grids are drawn for curved coordinate, the data
-transform of the axes itself (ax.transData) is still rectilinear
-(image) coordinate. ::
-
-
-    from  mpl_toolkits.axisartist.grid_helper_curvelinear \
-         import GridHelperCurveLinear
-    from mpl_toolkits.axisartist import Subplot
-
-    # from curved coordinate to rectlinear coordinate.
-    def tr(x, y):
-        x, y = np.asarray(x), np.asarray(y)
-        return x, y-x
-
-    # from rectlinear coordinate to curved coordinate.
-    def inv_tr(x,y):
-        x, y = np.asarray(x), np.asarray(y)
-        return x, y+x
-
-
-    grid_helper = GridHelperCurveLinear((tr, inv_tr))
-
-    ax1 = Subplot(fig, 1, 1, 1, grid_helper=grid_helper)
-
-    fig.add_subplot(ax1)
-
-
-You may use matplotlib's Transform instance instead (but a
-inverse transformation must be defined). Often, coordinate range in a
-curved coordinate system may have a limited range, or may have
-cycles. In those cases, a more customized version of grid helper is
-required. ::
-
-
-    import  mpl_toolkits.axisartist.angle_helper as angle_helper
-
-    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
-    # system in degree
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-
-    # extreme finder :  find a range of coordinate.
-    # 20, 20 : number of sampling points along x, y direction
-    # The first coordinate (longitude, but theta in polar)
-    #   has a cycle of 360 degree.
-    # The second coordinate (latitude, but radius in polar)  has a minimum of 0
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle = 360,
-                                                     lat_cycle = None,
-                                                     lon_minmax = None,
-                                                     lat_minmax = (0, np.inf),
-                                                     )
-
-    # Find a grid values appropriate for the coordinate (degree,
-    # minute, second). The argument is a approximate number of grids.
-    grid_locator1 = angle_helper.LocatorDMS(12)
-
-    # And also uses an appropriate formatter.  Note that,the
-    # acceptable Locator and Formatter class is a bit different than
-    # that of mpl's, and you cannot directly use mpl's Locator and
-    # Formatter here (but may be possible in the future).
-    tick_formatter1 = angle_helper.FormatterDMS()
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-
-Again, the *transData* of the axes is still a rectilinear coordinate
-(image coordinate). You may manually do conversion between two
-coordinates, or you may use Parasite Axes for convenience.::
-
-    ax1 = SubplotHost(fig, 1, 2, 2, grid_helper=grid_helper)
-
-    # A parasite axes with given transform
-    ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
-    # note that ax2.transData == tr + ax1.transData
-    # Anthing you draw in ax2 will match the ticks and grids of ax1.
-    ax1.parasites.append(ax2)
-
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_curvelinear_grid.py
-
-
-
-FloatingAxis
-============
-
-A floating axis is an axis one of whose data coordinate is fixed, i.e,
-its location is not fixed in Axes coordinate but changes as axes data
-limits changes. A floating axis can be created using
-*new_floating_axis* method. However, it is your responsibility that
-the resulting AxisArtist is properly added to the axes. A recommended
-way is to add it as an item of Axes's axis attribute.::
-
-    # floating axis whose first (index starts from 0) coordinate
-    # (theta) is fixed at 60
-
-    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
-    axis.label.set_text(r"$\theta = 60^{\circ}$")
-    axis.label.set_visible(True)
-
-
-See the first example of this page.
-
-Current Limitations and TODO's
-==============================
-
-The code need more refinement. Here is a incomplete list of issues and TODO's
-
-* No easy way to support a user customized tick location (for
-  curvilinear grid). A new Locator class needs to be created.
-
-* FloatingAxis may have coordinate limits, e.g., a floating axis of x
-  = 0, but y only spans from 0 to 1.
-
-* The location of axislabel of FloatingAxis needs to be optionally
-  given as a coordinate value. ex, a floating axis of x=0 with label at y=1
diff --git a/doc/mpl_toolkits/axes_grid/users/index.rst b/doc/mpl_toolkits/axes_grid/users/index.rst
deleted file mode 100644
index 9ae9dbdd74bb..000000000000
--- a/doc/mpl_toolkits/axes_grid/users/index.rst
+++ /dev/null
@@ -1,14 +0,0 @@
-.. _axes_grid_users-guide-index:
-
-################################################
-  The Matplotlib AxesGrid Toolkit User's Guide
-################################################
-
-:Release: |version|
-:Date: |today|
-
-.. toctree::
-
-    axes_divider.rst
-    axisartist.rst
-
diff --git a/doc/mpl_toolkits/axes_grid/users/overview.rst b/doc/mpl_toolkits/axes_grid/users/overview.rst
deleted file mode 100644
index c9b70fcdca23..000000000000
--- a/doc/mpl_toolkits/axes_grid/users/overview.rst
+++ /dev/null
@@ -1,480 +0,0 @@
-============================
-Overview of AxesGrid toolkit
-============================
-
-What is AxesGrid toolkit?
-=========================
-
-The matplotlib AxesGrid toolkit is a collection of helper classes,
-mainly to ease displaying (multiple) images in matplotlib.
-
-.. contents::
-   :depth: 1
-   :local:
-
-.. note:: 
-   AxesGrid toolkit has been a part of matplotlib since v
-   0.99. Originally, the toolkit had a single namespace of 
-   *axes_grid*. In more recent version (since svn r8226), the toolkit 
-   has divided into two separate namespace (*axes_grid1* and *axisartist*).
-   While *axes_grid* namespace is maintained for the backward compatibility,
-   use of *axes_grid1* and *axisartist* is recommended.
-
-.. warning:: 
-   *axes_grid* and *axisartist* (but not *axes_grid1*) uses
-   a custom Axes class (derived from the mpl's original Axes class).
-   As a side effect, some commands (mostly tick-related) do not work.
-   Use *axes_grid1* to avoid this, or see how things are different in
-   *axes_grid* and *axisartist* (LINK needed)
-
-
-AxesGrid toolkit has two namespaces (*axes_grid1* and *axisartist*).
-*axisartist* contains custom Axes class that is meant to support for
-curvilinear grids (e.g., the world coordinate system in astronomy).
-Unlike mpl's original Axes class which uses Axes.xaxis and Axes.yaxis
-to draw ticks, ticklines and etc., Axes in axisartist uses special
-artist (AxisArtist) which can handle tick, ticklines and etc. for
-curved coordinate systems.
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_floating_axis.py
-
-Since it uses a special artists, some mpl commands that work on
-Axes.xaxis and Axes.yaxis may not work. See LINK for more detail.
-
-
-*axes_grid1* is a collection of helper classes to ease displaying
-(multiple) images with matplotlib.  In matplotlib, the axes location
-(and size) is specified in the normalized figure coordinates, which
-may not be ideal for displaying images that needs to have a given
-aspect ratio.  For example, it helps you to have a colorbar whose
-height always matches that of the image.  `ImageGrid`_, `RGB Axes`_ and
-`AxesDivider`_ are helper classes that deals with adjusting the
-location of (multiple) Axes.  They provides a framework to adjust the
-position of multiple axes at the drawing time. `ParasiteAxes`_
-provides twinx(or twiny)-like features so that you can plot different
-data (e.g., different y-scale) in a same Axes. `AnchoredArtists`_
-includes custom artists which are placed at some anchored position,
-like the legend.
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_axes_grid.py
-
-
-AXES_GRID1
-==========
-
-ImageGrid
----------
-
-
-A class that creates a grid of Axes. In matplotlib, the axes location
-(and size) is specified in the normalized figure coordinates. This may
-not be ideal for images that needs to be displayed with a given aspect
-ratio.  For example, displaying images of a same size with some fixed
-padding between them cannot be easily done in matplotlib. ImageGrid is
-used in such case.
-
-.. plot:: mpl_toolkits/axes_grid/examples/simple_axesgrid.py
-   :include-source:
-
-* The position of each axes is determined at the drawing time (see
-  `AxesDivider`_), so that the size of the entire grid fits in the
-  given rectangle (like the aspect of axes). Note that in this example,
-  the paddings between axes are fixed even if you changes the figure
-  size.
-
-* axes in the same column has a same axes width (in figure
-  coordinate), and similarly, axes in the same row has a same
-  height. The widths (height) of the axes in the same row (column) are
-  scaled according to their view limits (xlim or ylim).
-
-  .. plot:: mpl_toolkits/axes_grid/examples/simple_axesgrid2.py
-     :include-source:
-
-* xaxis are shared among axes in a same column. Similarly, yaxis are
-  shared among axes in a same row. Therefore, changing axis properties
-  (view limits, tick location, etc. either by plot commands or using
-  your mouse in interactive backends) of one axes will affect all
-  other shared axes.
-
-
-
-When initialized, ImageGrid creates given number (*ngrids* or *ncols* *
-*nrows* if *ngrids* is None) of Axes instances. A sequence-like
-interface is provided to access the individual Axes instances (e.g.,
-grid[0] is the first Axes in the grid. See below for the order of
-axes).
-
-
-
-AxesGrid takes following arguments,
-
-
- ============= ========   ================================================
- Name          Default    Description
- ============= ========   ================================================
- fig
- rect
- nrows_ncols              number of rows and cols. e.g., (2,2)
- ngrids        None       number of grids. nrows x ncols if None
- direction     "row"      increasing direction of axes number. [row|column]
- axes_pad      0.02       pad between axes in inches
- add_all       True       Add axes to figures if True
- share_all     False      xaxis & yaxis of all axes are shared if True
- aspect        True       aspect of axes
- label_mode    "L"        location of tick labels thaw will be displayed.
-                          "1" (only the lower left axes),
-                          "L" (left most and bottom most axes),
-                          or "all".
- cbar_mode     None       [None|single|each]
- cbar_location "right"    [right|top]
- cbar_pad      None       pad between image axes and colorbar axes
- cbar_size     "5%"       size of the colorbar
- axes_class    None
- ============= ========   ================================================
-
- *rect*
-  specifies the location of the grid. You can either specify
-  coordinates of the rectangle to be used (e.g., (0.1, 0.1, 0.8, 0.8)
-  as in the Axes), or the subplot-like position (e.g., "121").
-
- *direction*
-  means the increasing direction of the axes number.
-
- *aspect*
-  By default (False), widths and heights of axes in the grid are
-  scaled independently. If True, they are scaled according to their
-  data limits (similar to aspect parameter in mpl).
-
- *share_all*
-  if True, xaxis  and yaxis of all axes are shared.
-
- *direction*
-  direction of increasing axes number.   For "row",
-
-   +---------+---------+
-   | grid[0] | grid[1] |
-   +---------+---------+
-   | grid[2] | grid[3] |
-   +---------+---------+
-
-  For "column",
-
-   +---------+---------+
-   | grid[0] | grid[2] |
-   +---------+---------+
-   | grid[1] | grid[3] |
-   +---------+---------+
-
-You can also create a colorbar (or colorbars). You can have colorbar
-for each axes (cbar_mode="each"), or you can have a single colorbar
-for the grid (cbar_mode="single"). The colorbar can be placed on your
-right, or top. The axes for each colorbar is stored as a *cbar_axes*
-attribute.
-
-
-
-The examples below show what you can do with AxesGrid.
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_axes_grid.py
-
-
-AxesDivider
------------
-
-Behind the scene, the ImageGrid class and the RGBAxes class utilize the
-AxesDivider class, whose role is to calculate the location of the axes
-at drawing time. While a more about the AxesDivider is (will be)
-explained in (yet to be written) AxesDividerGuide, direct use of the
-AxesDivider class will not be necessary for most users.  The
-axes_divider module provides a helper function make_axes_locatable,
-which can be useful. It takes a existing axes instance and create a
-divider for it. ::
-
-	ax = subplot(1,1,1)
-	divider = make_axes_locatable(ax)
-
-
-
-
-*make_axes_locatable* returns an instance of the AxesLocator class,
-derived from the Locator. It provides *append_axes* method that
-creates a new axes on the given side of ("top", "right", "bottom" and
-"left") of the original axes.
-
-
-
-colorbar whose height (or width) in sync with the master axes
--------------------------------------------------------------
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_colorbar.py
-   :include-source:
-
-
-
-
-scatter_hist.py with AxesDivider
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-The "scatter_hist.py" example in mpl can be rewritten using
-*make_axes_locatable*. ::
-
-    axScatter = subplot(111)
-    axScatter.scatter(x, y)
-    axScatter.set_aspect(1.)
-
-    # create new axes on the right and on the top of the current axes.
-    divider = make_axes_locatable(axScatter)
-    axHistx = divider.append_axes("top", size=1.2, pad=0.1, sharex=axScatter)
-    axHisty = divider.append_axes("right", size=1.2, pad=0.1, sharey=axScatter)
-
-    # the scatter plot:
-    # histograms
-    bins = np.arange(-lim, lim + binwidth, binwidth)
-    axHistx.hist(x, bins=bins)
-    axHisty.hist(y, bins=bins, orientation='horizontal')
-
-
-See the full source code below.
-
-.. plot:: mpl_toolkits/axes_grid/examples/scatter_hist.py
-
-
-The scatter_hist using the AxesDivider has some advantage over the
-original scatter_hist.py in mpl. For example, you can set the aspect
-ratio of the scatter plot, even with the x-axis or y-axis is shared
-accordingly.
-
-
-ParasiteAxes
-------------
-
-The ParasiteAxes is an axes whose location is identical to its host
-axes. The location is adjusted in the drawing time, thus it works even
-if the host change its location (e.g., images). 
-
-In most cases, you first create a host axes, which provides a few
-method that can be used to create parasite axes. They are *twinx*,
-*twiny* (which are similar to twinx and twiny in the matplotlib) and
-*twin*. *twin* takes an arbitrary transformation that maps between the
-data coordinates of the host axes and the parasite axes.  *draw*
-method of the parasite axes are never called. Instead, host axes
-collects artists in parasite axes and draw them as if they belong to
-the host axes, i.e., artists in parasite axes are merged to those of
-the host axes and then drawn according to their zorder.  The host and
-parasite axes modifies some of the axes behavior. For example, color
-cycle for plot lines are shared between host and parasites. Also, the
-legend command in host, creates a legend that includes lines in the
-parasite axes.  To create a host axes, you may use *host_suplot* or
-*host_axes* command.
-
-
-Example 1. twinx
-~~~~~~~~~~~~~~~~
-
-.. plot:: mpl_toolkits/axes_grid/figures/parasite_simple.py
-   :include-source:
-
-Example 2. twin
-~~~~~~~~~~~~~~~
-
-*twin* without a transform argument treat the parasite axes to have a
-same data transform as the host. This can be useful when you want the
-top(or right)-axis to have different tick-locations, tick-labels, or
-tick-formatter for bottom(or left)-axis. ::
-
-  ax2 = ax.twin() # now, ax2 is responsible for "top" axis and "right" axis
-  ax2.set_xticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi])
-  ax2.set_xticklabels(["0", r"$\frac{1}{2}\pi$",
-                       r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
-
-
-.. plot:: mpl_toolkits/axes_grid/examples/simple_axisline4.py
-
-
-
-A more sophisticated example using twin. Note that if you change the
-x-limit in the host axes, the x-limit of the parasite axes will change
-accordingly.
-
-
-.. plot:: mpl_toolkits/axes_grid/examples/parasite_simple2.py
-
-
-AnchoredArtists
----------------
-
-It's a collection of artists whose location is anchored to the (axes)
-bbox, like the legend. It is derived from *OffsetBox* in mpl, and
-artist need to be drawn in the canvas coordinate. But, there is a
-limited support for an arbitrary transform. For example, the ellipse
-in the example below will have width and height in the data
-coordinate.
-
-.. plot:: mpl_toolkits/axes_grid/examples/simple_anchored_artists.py
-   :include-source:
-
-
-InsetLocator
-------------
-
-:mod:`mpl_toolkits.axes_grid.inset_locator` provides helper classes
-and functions to place your (inset) axes at the anchored position of
-the parent axes, similarly to AnchoredArtist.
-
-Using :func:`mpl_toolkits.axes_grid.inset_locator.inset_axes`, you
-can have inset axes whose size is either fixed, or a fixed proportion
-of the parent axes. For example,::
-
-    inset_axes = inset_axes(parent_axes,
-                            width="30%", # width = 30% of parent_bbox
-                            height=1., # height : 1 inch
-                            loc=3)
-
-creates an inset axes whose width is 30% of the parent axes and whose
-height is fixed at 1 inch.
-
-You may creates your inset whose size is determined so that the data
-scale of the inset axes to be that of the parent axes multiplied by
-some factor. For example, ::
-
-    inset_axes = zoomed_inset_axes(ax,
-                                   0.5, # zoom = 0.5
-                                   loc=1)
-
-creates an inset axes whose data scale is half of the parent axes.
-Here is complete examples.
-
-.. plot:: mpl_toolkits/axes_grid/examples/inset_locator_demo.py
-
-For example, :func:`zoomed_inset_axes` can be used when you want the
-inset represents the zoom-up of the small portion in the parent axes.
-And :mod:`~mpl_toolkits/axes_grid/inset_locator` provides a helper
-function :func:`mark_inset` to mark the location of the area
-represented by the inset axes.
-
-.. plot:: mpl_toolkits/axes_grid/examples/inset_locator_demo2.py
-   :include-source:
-
-
-RGB Axes
-~~~~~~~~
-
-RGBAxes is a helper class to conveniently show RGB composite
-images. Like ImageGrid, the location of axes are adjusted so that the
-area occupied by them fits in a given rectangle.  Also, the xaxis and
-yaxis of each axes are shared. ::
-
-    from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
-
-    fig = plt.figure(1)
-    ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
-
-    r, g, b = get_rgb() # r,g,b are 2-d images
-    ax.imshow_rgb(r, g, b,
-                  origin="lower", interpolation="nearest")
-
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_rgb.py
-
-
-AXISARTIST
-==========
-
-
-AxisArtist
-----------
-
-AxisArtist module provides a custom (and very experimental) Axes
-class, where each axis (left, right, top and bottom) have a separate
-artist associated which is responsible to draw axis-line, ticks,
-ticklabels, label.  Also, you can create your own axis, which can pass
-through a fixed position in the axes coordinate, or a fixed position
-in the data coordinate (i.e., the axis floats around when viewlimit
-changes).
-
-The axes class, by default, have its xaxis and yaxis invisible, and
-has 4 additional artists which are responsible to draw axis in
-"left","right","bottom" and "top".  They are accessed as
-ax.axis["left"], ax.axis["right"], and so on, i.e., ax.axis is a
-dictionary that contains artists (note that ax.axis is still a
-callable methods and it behaves as an original Axes.axis method in
-mpl).
-
-To create an axes, ::
-
-  import mpl_toolkits.axisartist as AA
-  fig = plt.figure(1)
-  ax = AA.Axes(fig, [0.1, 0.1, 0.8, 0.8])
-  fig.add_axes(ax)
-
-or to create a subplot ::
-
-  ax = AA.Subplot(fig, 111)
-  fig.add_subplot(ax)
-
-For example, you can hide the right, and top axis by ::
-
-  ax.axis["right"].set_visible(False)
-  ax.axis["top"].set_visible(False)
-
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axisline3.py
-
-
-It is also possible to add an extra axis. For example, you may have an
-horizontal axis at y=0 (in data coordinate). ::
-
-    ax.axis["y=0"] = ax.new_floating_axis(nth_coord=0, value=0)
-
-.. plot:: mpl_toolkits/axes_grid/figures/simple_axisartist1.py
-   :include-source:
-
-
-Or a fixed axis with some offset ::
-
-    # make new (right-side) yaxis, but wth some offset
-    ax.axis["right2"] = ax.new_fixed_axis(loc="right",
-				          offset=(20, 0))
-
-
-
-AxisArtist with ParasiteAxes
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-Most commands in the axes_grid1 toolkit can take a axes_class keyword
-argument, and the commands creates an axes of the given class. For example,
-to create a host subplot with axisartist.Axes, ::
-
-  import mpl_tookits.axisartist as AA
-  from mpl_toolkits.axes_grid1 import host_subplot
-
-  host = host_subplot(111, axes_class=AA.Axes)
-
-
-Here is an example that uses  parasiteAxes.
-
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_parasite_axes2.py
-
-
-
-Curvilinear Grid
-----------------
-
-The motivation behind the AxisArtist module is to support curvilinear grid
-and ticks.
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_floating_axis.py
-
-See :ref:`axisartist-manual` for more details.
-
-
-Floating Axes
--------------
-
-This also support a Floating Axes whose outer axis are defined as
-floating axis.
-
-.. plot:: mpl_toolkits/axes_grid/examples/demo_floating_axes.py
-
-
diff --git a/doc/mpl_toolkits/index.rst b/doc/mpl_toolkits/index.rst
deleted file mode 100644
index 680e970b86e7..000000000000
--- a/doc/mpl_toolkits/index.rst
+++ /dev/null
@@ -1,154 +0,0 @@
-.. _toolkits-index:
-
-.. toctree::
-   :hidden:
-
-   axes_grid/index.rst
-   mplot3d/index.rst
-
-
-########
-Toolkits
-########
-
-.. htmlonly::
-
-   :Release: |version|
-   :Date: |today|
-
-.. _toolkits:
-
-Toolkits are collections of application-specific functions that extend matplotlib.
-
-.. _toolkit_basemap:
-
-Basemap
-=======
-(*Not distributed with matplotlib*)
-
-Plots data on map projections, with continental and political
-boundaries, see `basemap <http://matplotlib.org/basemap>`_
-docs.
-
-.. image:: /_static/basemap_contour1.png
-    :height: 400px
-
-
-
-Cartopy
-=======
-(*Not distributed with matplotlib*)
-
-An alternative mapping library written for matplotlib ``v1.2`` and beyond.
-`Cartopy <http://scitools.org.uk/cartopy/docs/latest>`_ builds on top of
-matplotlib to provide object oriented map projection definitions and close
-integration with Shapely for powerful yet easy-to-use vector data processing
-tools. An example plot from the
-`Cartopy gallery <http://scitools.org.uk/cartopy/docs/latest/gallery.html>`_:
-
-.. image:: /_static/cartopy_hurricane_katrina_01_00.png
-    :height: 400px
-
-
-.. _toolkit_gtk:
-
-GTK Tools
-=========
-
-mpl_toolkits.gtktools provides some utilities for working with GTK.
-This toolkit ships with matplotlib, but requires `pygtk
-<http://www.pygtk.org/>`_.
-
-
-.. _toolkit_excel:
-
-Excel Tools
-===========
-
-mpl_toolkits.exceltools provides some utilities for working with
-Excel.  This toolkit ships with matplotlib, but requires
-`xlwt <http://pypi.python.org/pypi/xlwt>`_
-
-
-.. _toolkit_natgrid:
-
-Natgrid
-=======
-(*Not distributed with matplotlib*)
-
-mpl_toolkits.natgrid is an interface to natgrid C library for gridding
-irregularly spaced data.  This requires a separate installation of the
-natgrid toolkit from the sourceforge `download
-<http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=142792>`_
-page.
-
-
-.. _toolkit_mplot3d:
-
-mplot3d
-=======
-
-:ref:`mpl_toolkits.mplot3d <toolkit_mplot3d-index>` provides some basic 3D plotting (scatter, surf,
-line, mesh) tools.  Not the fastest or feature complete 3D library out
-there, but ships with matplotlib and thus may be a lighter weight
-solution for some use cases.
-
-.. plot:: mpl_examples/mplot3d/contourf3d_demo2.py
-
-.. _toolkit_axes_grid:
-
-AxesGrid
-========
-
-The matplotlib :ref:`AxesGrid <toolkit_axesgrid-index>` toolkit is a collection of helper classes to
-ease displaying multiple images in matplotlib. The AxesGrid toolkit is
-distributed with matplotlib source.
-
-.. image:: /_static/demo_axes_grid.png
-
-.. _toolkit_mpldatacursor:
-
-MplDataCursor
-=============
-(*Not distributed with matplotlib*)
-
-`MplDataCursor <https://github.com/joferkington/mpldatacursor>`_ is a
-toolkit written by Joe Kington to provide interactive "data cursors"
-(clickable annotation boxes) for matplotlib.
-
-.. _toolkit_prettyplotlib:
-
-prettyplotlib
-=============
-`prettyplotlib <https://olgabot.github.io/prettyplotlib>`_ is an extension
-to matplotlib which changes many of the defaults to make plots some
-consider more attractive.
-
-.. _hl_plotting:
-
-###################
-High-Level Plotting
-###################
-
-Several projects have started to provide a higher-level interface to
-matplotlib.  These are independent projects.
-
-.. _toolkit_seaborn:
-
-seaborn
-=======
-(*Not distributed with matplotlib*)
-
-`seaborn <http://web.stanford.edu/~mwaskom/software/seaborn>`_ is a high
-level interface for drawing statistical graphics with matplotlib. It
-aims to make visualization a central part of exploring and
-understanding complex datasets.
-
-.. _toolkit_ggplot:
-
-ggplot
-======
-(*Not distributed with matplotlib*)
-
-`ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2
-to python based on matplotlib.
diff --git a/doc/mpl_toolkits/mplot3d/api.rst b/doc/mpl_toolkits/mplot3d/api.rst
deleted file mode 100644
index 64217a482fe2..000000000000
--- a/doc/mpl_toolkits/mplot3d/api.rst
+++ /dev/null
@@ -1,64 +0,0 @@
-.. _toolkit_mplot3d-api:
-
-***********
-mplot3d API
-***********
-.. contents::
-      :backlinks: none
-
-.. _toolkit_mplot3d-axesapi:
-
-:mod:`~mpl_toolkits.mplot3d.axes3d`
-===================================
-
-.. note::
-   Significant effort went into bringing axes3d to feature-parity with
-   regular axes objects for version 1.1.0. However, more work remains.
-   Please report any functions that do not behave as expected as a bug.
-   In addition, help and patches would be greatly appreciated!
-
-.. automodule:: mpl_toolkits.mplot3d.axes3d
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-
-.. _toolkit_mplot3d-axisapi:
-
-:mod:`~mpl_toolkits.mplot3d.axis3d`
-===================================
-
-.. note::
-   Historically, axis3d has suffered from having hard-coded constants
-   controlling the look and feel of the 3D plot. This precluded user
-   level adjustments such as label spacing, font colors and panel colors.
-   For version 1.1.0, these constants have been consolidated into a single
-   private member dictionary, `self._axinfo`, for the axis object. This is
-   intended only as a stop-gap measure to allow user-level customization,
-   but it is not intended to be permanent.
-
-.. automodule:: mpl_toolkits.mplot3d.axis3d
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. _toolkit_mplot3d-artapi:
-
-:mod:`~mpl_toolkits.mplot3d.art3d`
-==================================
-
-.. automodule:: mpl_toolkits.mplot3d.art3d
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. _toolkit_mplot3d-projapi:
-
-:mod:`~mpl_toolkits.mplot3d.proj3d`
-===================================
-
-.. automodule:: mpl_toolkits.mplot3d.proj3d
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/mpl_toolkits/mplot3d/faq.rst b/doc/mpl_toolkits/mplot3d/faq.rst
deleted file mode 100644
index 625e2315b4d0..000000000000
--- a/doc/mpl_toolkits/mplot3d/faq.rst
+++ /dev/null
@@ -1,52 +0,0 @@
-.. _toolkit_mplot3d-faq:
-
-***********
-mplot3d FAQ
-***********
-
-How is mplot3d different from MayaVi?
-=====================================
-`MayaVi2 <http://code.enthought.com/projects/mayavi/documentation.php>`_
-is a very powerful and featureful 3D graphing library. For advanced
-3D scenes and excellent rendering capabilities, it is highly recomended to
-use MayaVi2.
-
-mplot3d was intended to allow users to create simple 3D graphs with the same
-"look-and-feel" as matplotlib's 2D plots. Furthermore, users can use the same
-toolkit that they are already familiar with to generate both their 2D and 3D
-plots.
-
-
-My 3D plot doesn't look right at certain viewing angles
-=======================================================
-This is probably the most commonly reported issue with mplot3d. The problem
-is that -- from some viewing angles -- a 3D object would appear in front
-of another object, even though it is physically behind it. This can result in
-plots that do not look "physically correct."
-
-Unfortunately, while some work is being done to reduce the occurance of this
-artifact, it is currently an intractable problem, and can not be fully solved
-until matplotlib supports 3D graphics rendering at its core.
-
-The problem occurs due to the reduction of 3D data down to 2D + z-order
-scalar. A single value represents the 3rd dimension for all parts of 3D
-objects in a collection. Therefore, when the bounding boxes of two collections
-intersect, it becomes possible for this artifact to occur. Furthermore, the
-intersection of two 3D objects (such as polygons or patches) can not be
-rendered properly in matplotlib's 2D rendering engine.
-
-This problem will likely not be solved until OpenGL support is added to all of
-the backends (patches are greatly welcomed). Until then, if you need complex
-3D scenes, we recommend using
-`MayaVi <http://code.enthought.com/projects/mayavi/documentation.php>`_.
-
-
-I don't like how the 3D plot is laid out, how do I change that?
-===============================================================
-Historically, mplot3d has suffered from a hard-coding of parameters used
-to control visuals such as label spacing, tick length, and grid line width.
-Work is being done to eliminate this issue. For matplotlib v1.1.0, there is
-a semi-official manner to modify these parameters. See the note in the
-:ref:`toolkit_mplot3d-axisapi` section of the mplot3d API documentation for
-more information.
-
diff --git a/doc/mpl_toolkits/mplot3d/index.rst b/doc/mpl_toolkits/mplot3d/index.rst
deleted file mode 100644
index e5a7bed878be..000000000000
--- a/doc/mpl_toolkits/mplot3d/index.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-.. _toolkit_mplot3d-index:
-.. currentmodule:: mpl_toolkits.mplot3d
-
-*******
-mplot3d
-*******
-
-Matplotlib mplot3d toolkit
-==========================
-The mplot3d toolkit adds simple 3D plotting capabilities to matplotlib by
-supplying an axes object that can create a 2D projection of a 3D scene.
-The resulting graph will have the same look and feel as regular 2D plots.
-
-.. image:: ../../_static/demo_mplot3d.png
-
-The interactive backends also provide the ability to rotate and zoom
-the 3D scene. One can rotate the 3D scene by simply clicking-and-dragging
-the scene. Zooming is done by right-clicking the scene and dragging the
-mouse up and down. Note that one does not use the zoom button like one
-would use for regular 2D plots.
-
-.. toctree::
-    :maxdepth: 2
-
-    tutorial.rst
-    api.rst
-    faq.rst
diff --git a/doc/mpl_toolkits/mplot3d/tutorial.rst b/doc/mpl_toolkits/mplot3d/tutorial.rst
deleted file mode 100644
index b0cda8661968..000000000000
--- a/doc/mpl_toolkits/mplot3d/tutorial.rst
+++ /dev/null
@@ -1,150 +0,0 @@
-.. _toolkit_mplot3d-tutorial:
-.. currentmodule:: mpl_toolkits.mplot3d
-
-****************
-mplot3d tutorial
-****************
-.. contents::
-      :backlinks: none
-
-.. _mplot3d_getting_started:
-
-Getting started
-===============
-An Axes3D object is created just like any other axes using
-the projection='3d' keyword.
-Create a new :class:`matplotlib.figure.Figure` and
-add a new axes to it of type :class:`~mpl_toolkits.mplot3d.Axes3D`::
-
-  import matplotlib.pyplot as plt
-  from mpl_toolkits.mplot3d import Axes3D
-  fig = plt.figure()
-  ax = fig.add_subplot(111, projection='3d')
-
-.. versionadded:: 1.0.0
-   This approach is the preferred method of creating a 3D axes.
-
-.. note::
-   Prior to version 1.0.0, the method of creating a 3D axes was
-   different. For those using older versions of matplotlib, change
-   ``ax = fig.add_subplot(111, projection='3d')``
-   to ``ax = Axes3D(fig)``.
-
-.. _plot3d:
-
-Line plots
-====================
-.. automethod:: Axes3D.plot
-
-.. plot:: mpl_examples/mplot3d/lines3d_demo.py
-
-.. _scatter3d:
-
-Scatter plots
-=============
-.. automethod:: Axes3D.scatter
-
-.. plot:: mpl_examples/mplot3d/scatter3d_demo.py
-
-.. _wireframe:
-
-Wireframe plots
-===============
-.. automethod:: Axes3D.plot_wireframe
-
-.. plot:: mpl_examples/mplot3d/wire3d_demo.py
-
-.. _surface:
-
-Surface plots
-=============
-.. automethod:: Axes3D.plot_surface
-
-.. plot:: mpl_examples/mplot3d/surface3d_demo.py
-.. plot:: mpl_examples/mplot3d/surface3d_demo2.py
-.. plot:: mpl_examples/mplot3d/surface3d_demo3.py
-
-.. _trisurface:
-
-Tri-Surface plots
-=================
-.. automethod:: Axes3D.plot_trisurf
-
-.. plot:: mpl_examples/mplot3d/trisurf3d_demo.py
-
-
-.. _contour3d:
-
-Contour plots
-=============
-.. automethod:: Axes3D.contour
-
-.. plot:: mpl_examples/mplot3d/contour3d_demo.py
-.. plot:: mpl_examples/mplot3d/contour3d_demo2.py
-.. plot:: mpl_examples/mplot3d/contour3d_demo3.py
-
-.. _contourf3d:
-
-Filled contour plots
-====================
-.. automethod:: Axes3D.contourf
-
-.. plot:: mpl_examples/mplot3d/contourf3d_demo.py
-.. plot:: mpl_examples/mplot3d/contourf3d_demo2.py
-
-.. versionadded:: 1.1.0
-   The feature demoed in the second contourf3d example was enabled as a
-   result of a bugfix for version 1.1.0.
-
-.. _polygon3d:
-
-Polygon plots
-====================
-.. automethod:: Axes3D.add_collection3d
-
-.. plot:: mpl_examples/mplot3d/polys3d_demo.py
-
-.. _bar3d:
-
-Bar plots
-====================
-.. automethod:: Axes3D.bar
-
-.. plot:: mpl_examples/mplot3d/bars3d_demo.py
-
-.. _quiver3d:
-
-Quiver
-====================
-.. automethod:: Axes3D.quiver
-
-.. plot:: mpl_examples/mplot3d/quiver3d_demo.py
-
-.. _2dcollections3d:
-
-2D plots in 3D
-====================
-.. plot:: mpl_examples/mplot3d/2dcollections3d_demo.py
-
-.. _text3d:
-
-Text
-====================
-.. automethod:: Axes3D.text
-
-.. plot:: mpl_examples/mplot3d/text3d_demo.py
-
-.. _3dsubplots:
-
-Subplotting
-====================
-Having multiple 3D plots in a single figure is the same
-as it is for 2D plots. Also, you can have both 2D and 3D plots
-in the same figure.
-
-.. versionadded:: 1.0.0
-   Subplotting 3D plots was added in v1.0.0.  Earlier version can not
-   do this.
-
-.. plot:: mpl_examples/mplot3d/subplot3d_demo.py
-.. plot:: mpl_examples/mplot3d/mixed_subplots_demo.py
diff --git a/doc/project/citing.rst b/doc/project/citing.rst
new file mode 100644
index 000000000000..2cd317906bb5
--- /dev/null
+++ b/doc/project/citing.rst
@@ -0,0 +1,225 @@
+.. redirect-from:: /citing
+.. redirect-from:: /users/project/citing
+
+.. _citing_matplotlib:
+
+Citing Matplotlib
+=================
+
+If Matplotlib contributes to a project that leads to a scientific publication,
+please acknowledge this fact by citing `J. D. Hunter, "Matplotlib: A 2D
+Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3,
+pp. 90-95, 2007 <https://doi.org/10.1109/MCSE.2007.55>`_.
+
+.. literalinclude:: ../../CITATION.bib
+   :language: bibtex
+
+.. container:: sphx-glr-download
+
+   :download:`Download BibTeX bibliography file: CITATION.bib <../../CITATION.bib>`
+
+DOIs
+----
+
+The following DOI represents *all* Matplotlib versions. Please select a more
+specific DOI from the list below, referring to the version used for your publication.
+
+.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.592536.svg
+   :target: https://doi.org/10.5281/zenodo.592536
+
+By version
+^^^^^^^^^^
+.. START OF AUTOGENERATED
+
+
+v3.10.0
+   .. image:: ../_static/zenodo_cache/14464227.svg
+      :target:  https://doi.org/10.5281/zenodo.14464227
+v3.9.4
+   .. image:: ../_static/zenodo_cache/14436121.svg
+      :target:  https://doi.org/10.5281/zenodo.14436121
+v3.9.3
+   .. image:: ../_static/zenodo_cache/14249941.svg
+      :target:  https://doi.org/10.5281/zenodo.14249941
+v3.9.2
+   .. image:: ../_static/zenodo_cache/13308876.svg
+      :target:  https://doi.org/10.5281/zenodo.13308876
+v3.9.1
+   .. image:: ../_static/zenodo_cache/12652732.svg
+      :target:  https://doi.org/10.5281/zenodo.12652732
+v3.9.0
+   .. image:: ../_static/zenodo_cache/11201097.svg
+      :target:  https://doi.org/10.5281/zenodo.11201097
+v3.8.4
+   .. image:: ../_static/zenodo_cache/10916799.svg
+      :target:  https://doi.org/10.5281/zenodo.10916799
+v3.8.3
+   .. image:: ../_static/zenodo_cache/10661079.svg
+      :target:  https://doi.org/10.5281/zenodo.10661079
+v3.8.2
+   .. image:: ../_static/zenodo_cache/10150955.svg
+      :target:  https://doi.org/10.5281/zenodo.10150955
+v3.8.1
+   .. image:: ../_static/zenodo_cache/10059757.svg
+      :target:  https://doi.org/10.5281/zenodo.10059757
+v3.8.0
+   .. image:: ../_static/zenodo_cache/8347255.svg
+      :target:  https://doi.org/10.5281/zenodo.8347255
+v3.7.3
+   .. image:: ../_static/zenodo_cache/8336761.svg
+      :target:  https://doi.org/10.5281/zenodo.8336761
+v3.7.2
+   .. image:: ../_static/zenodo_cache/8118151.svg
+      :target:  https://doi.org/10.5281/zenodo.8118151
+v3.7.1
+   .. image:: ../_static/zenodo_cache/7697899.svg
+      :target:  https://doi.org/10.5281/zenodo.7697899
+v3.7.0
+   .. image:: ../_static/zenodo_cache/7637593.svg
+      :target:  https://doi.org/10.5281/zenodo.7637593
+v3.6.3
+   .. image:: ../_static/zenodo_cache/7527665.svg
+      :target:  https://doi.org/10.5281/zenodo.7527665
+v3.6.2
+   .. image:: ../_static/zenodo_cache/7275322.svg
+      :target:  https://doi.org/10.5281/zenodo.7275322
+v3.6.1
+   .. image:: ../_static/zenodo_cache/7162185.svg
+      :target:  https://doi.org/10.5281/zenodo.7162185
+v3.6.0
+   .. image:: ../_static/zenodo_cache/7084615.svg
+      :target:  https://doi.org/10.5281/zenodo.7084615
+v3.5.3
+   .. image:: ../_static/zenodo_cache/6982547.svg
+      :target:  https://doi.org/10.5281/zenodo.6982547
+v3.5.2
+   .. image:: ../_static/zenodo_cache/6513224.svg
+      :target:  https://doi.org/10.5281/zenodo.6513224
+v3.5.1
+   .. image:: ../_static/zenodo_cache/5773480.svg
+      :target:  https://doi.org/10.5281/zenodo.5773480
+v3.5.0
+   .. image:: ../_static/zenodo_cache/5706396.svg
+      :target:  https://doi.org/10.5281/zenodo.5706396
+v3.4.3
+   .. image:: ../_static/zenodo_cache/5194481.svg
+      :target:  https://doi.org/10.5281/zenodo.5194481
+v3.4.2
+   .. image:: ../_static/zenodo_cache/4743323.svg
+      :target:  https://doi.org/10.5281/zenodo.4743323
+v3.4.1
+   .. image:: ../_static/zenodo_cache/4649959.svg
+      :target:  https://doi.org/10.5281/zenodo.4649959
+v3.4.0
+   .. image:: ../_static/zenodo_cache/4638398.svg
+      :target:  https://doi.org/10.5281/zenodo.4638398
+v3.3.4
+   .. image:: ../_static/zenodo_cache/4475376.svg
+      :target:  https://doi.org/10.5281/zenodo.4475376
+v3.3.3
+   .. image:: ../_static/zenodo_cache/4268928.svg
+      :target:  https://doi.org/10.5281/zenodo.4268928
+v3.3.2
+   .. image:: ../_static/zenodo_cache/4030140.svg
+      :target:  https://doi.org/10.5281/zenodo.4030140
+v3.3.1
+   .. image:: ../_static/zenodo_cache/3984190.svg
+      :target:  https://doi.org/10.5281/zenodo.3984190
+v3.3.0
+   .. image:: ../_static/zenodo_cache/3948793.svg
+      :target:  https://doi.org/10.5281/zenodo.3948793
+v3.2.2
+   .. image:: ../_static/zenodo_cache/3898017.svg
+      :target:  https://doi.org/10.5281/zenodo.3898017
+v3.2.1
+   .. image:: ../_static/zenodo_cache/3714460.svg
+      :target:  https://doi.org/10.5281/zenodo.3714460
+v3.2.0
+   .. image:: ../_static/zenodo_cache/3695547.svg
+      :target:  https://doi.org/10.5281/zenodo.3695547
+v3.1.3
+   .. image:: ../_static/zenodo_cache/3633844.svg
+      :target:  https://doi.org/10.5281/zenodo.3633844
+v3.1.2
+   .. image:: ../_static/zenodo_cache/3563226.svg
+      :target:  https://doi.org/10.5281/zenodo.3563226
+v3.1.1
+   .. image:: ../_static/zenodo_cache/3264781.svg
+      :target:  https://doi.org/10.5281/zenodo.3264781
+v3.1.0
+   .. image:: ../_static/zenodo_cache/2893252.svg
+      :target:  https://doi.org/10.5281/zenodo.2893252
+v3.0.3
+   .. image:: ../_static/zenodo_cache/2577644.svg
+      :target:  https://doi.org/10.5281/zenodo.2577644
+v3.0.2
+   .. image:: ../_static/zenodo_cache/1482099.svg
+      :target:  https://doi.org/10.5281/zenodo.1482099
+v3.0.1
+   .. image:: ../_static/zenodo_cache/1482098.svg
+      :target:  https://doi.org/10.5281/zenodo.1482098
+v2.2.5
+   .. image:: ../_static/zenodo_cache/3633833.svg
+      :target:  https://doi.org/10.5281/zenodo.3633833
+v3.0.0
+   .. image:: ../_static/zenodo_cache/1420605.svg
+      :target:  https://doi.org/10.5281/zenodo.1420605
+v2.2.4
+   .. image:: ../_static/zenodo_cache/2669103.svg
+      :target:  https://doi.org/10.5281/zenodo.2669103
+v2.2.3
+   .. image:: ../_static/zenodo_cache/1343133.svg
+      :target:  https://doi.org/10.5281/zenodo.1343133
+v2.2.2
+   .. image:: ../_static/zenodo_cache/1202077.svg
+      :target:  https://doi.org/10.5281/zenodo.1202077
+v2.2.1
+   .. image:: ../_static/zenodo_cache/1202050.svg
+      :target:  https://doi.org/10.5281/zenodo.1202050
+v2.2.0
+   .. image:: ../_static/zenodo_cache/1189358.svg
+      :target:  https://doi.org/10.5281/zenodo.1189358
+v2.1.2
+   .. image:: ../_static/zenodo_cache/1154287.svg
+      :target:  https://doi.org/10.5281/zenodo.1154287
+v2.1.1
+   .. image:: ../_static/zenodo_cache/1098480.svg
+      :target:  https://doi.org/10.5281/zenodo.1098480
+v2.1.0
+   .. image:: ../_static/zenodo_cache/1004650.svg
+      :target:  https://doi.org/10.5281/zenodo.1004650
+v2.0.2
+   .. image:: ../_static/zenodo_cache/573577.svg
+      :target:  https://doi.org/10.5281/zenodo.573577
+v2.0.1
+   .. image:: ../_static/zenodo_cache/570311.svg
+      :target:  https://doi.org/10.5281/zenodo.570311
+v2.0.0
+   .. image:: ../_static/zenodo_cache/248351.svg
+      :target:  https://doi.org/10.5281/zenodo.248351
+v1.5.3
+   .. image:: ../_static/zenodo_cache/61948.svg
+      :target:  https://doi.org/10.5281/zenodo.61948
+v1.5.2
+   .. image:: ../_static/zenodo_cache/56926.svg
+      :target:  https://doi.org/10.5281/zenodo.56926
+v1.5.1
+   .. image:: ../_static/zenodo_cache/44579.svg
+      :target:  https://doi.org/10.5281/zenodo.44579
+v1.5.0
+   .. image:: ../_static/zenodo_cache/32914.svg
+      :target:  https://doi.org/10.5281/zenodo.32914
+v1.4.3
+   .. image:: ../_static/zenodo_cache/15423.svg
+      :target:  https://doi.org/10.5281/zenodo.15423
+v1.4.2
+   .. image:: ../_static/zenodo_cache/12400.svg
+      :target:  https://doi.org/10.5281/zenodo.12400
+v1.4.1
+   .. image:: ../_static/zenodo_cache/12287.svg
+      :target:  https://doi.org/10.5281/zenodo.12287
+v1.4.0
+   .. image:: ../_static/zenodo_cache/11451.svg
+      :target:  https://doi.org/10.5281/zenodo.11451
+
+.. END OF AUTOGENERATED
diff --git a/doc/project/code_of_conduct.rst b/doc/project/code_of_conduct.rst
new file mode 100644
index 000000000000..56fee2f25f6f
--- /dev/null
+++ b/doc/project/code_of_conduct.rst
@@ -0,0 +1,148 @@
+.. _code_of_conduct:
+.. redirect-from:: /users/project/code_of_conduct
+
+====================================
+Contributor Covenant Code of Conduct
+====================================
+
+Our Pledge
+==========
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+Our Standards
+=============
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+Enforcement Responsibilities
+============================
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+Scope
+=====
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+Enforcement
+===========
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+`matplotlib-coc@numfocus.org <mailto:matplotlib-coc@numfocus.org>`_ which is
+monitored by the `CoC subcommittee <https://matplotlib.org/governance/people.html#coc-subcommittee>`_ or a
+report can be made using the `NumFOCUS Code of Conduct report form <https://numfocus.typeform.com/to/ynjGdT>`_.
+If community leaders cannot come to a resolution about enforcement,
+reports will be escalated to the NumFocus Code of Conduct committee
+(conduct@numfocus.org).  All complaints will be reviewed and investigated
+promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+Enforcement Guidelines
+======================
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+1. Correction
+-------------
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+2. Warning
+----------
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+3. Temporary Ban
+----------------
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+4. Permanent Ban
+----------------
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+Attribution
+===========
+
+This Code of Conduct is adapted from the `Contributor Covenant <https://www.contributor-covenant.org>`_,
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by `Mozilla's code of conduct
+enforcement ladder <https://github.com/mozilla/diversity>`_.
+
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.
diff --git a/doc/project/credits.rst b/doc/project/credits.rst
new file mode 100644
index 000000000000..a57c35e8127d
--- /dev/null
+++ b/doc/project/credits.rst
@@ -0,0 +1,1082 @@
+.. Note: This file is auto-generated using generate_credits.py
+
+.. redirect-from:: /users/credits
+.. redirect-from:: /users/project/credits
+
+.. _credits:
+
+*******
+Credits
+*******
+
+
+Matplotlib was written by John D. Hunter, with contributions from an
+ever-increasing number of users and developers.  The current lead developer is
+Thomas A. Caswell, who is assisted by many `active developers
+<https://www.openhub.net/p/matplotlib/contributors>`_.
+Please also see our instructions on :doc:`/project/citing`.
+
+The following is a list of contributors extracted from the
+git revision control history of the project:
+
+4over7,
+816-8055,
+Aaron Boushley,
+Aashil Patel,
+AbdealiJK,
+Abhinav Sagar,
+Abhinuv Nitin Pitale,
+Acanthostega,
+Adam,
+Adam Ginsburg,
+Adam Gomaa,
+Adam Heck,
+Adam J. Stewart,
+Adam Ortiz,
+Adam Paszke,
+Adam Ruszkowski,
+Adam Williamson,
+Adrian Price-Whelan,
+Adrien Chardon,
+Adrien F. Vincent,
+Ahmet Bakan,
+Akshay Nair,
+Alan Bernstein,
+Alan Du,
+Alberto,
+Alejandro Dubrovsky,
+Aleksey Bilogur,
+Alex C. Szatmary,
+Alex Loew,
+Alex Rothberg,
+Alex Rudy,
+AlexCav,
+Alexander Buchkovsky,
+Alexander Harnisch,
+Alexander Rudy,
+Alexander Taylor,
+Alexei Colin,
+Alexis Bienvenüe,
+Ali Mehdi,
+Ali Uneri,
+Alistair Muldal,
+Allan Haldane,
+Allen Downey,
+Alon Hershenhorn,
+Alvaro Sanchez,
+Amit Aronovitch,
+Amy,
+Amy Roberts,
+AmyTeegarden,
+AndersonDaniel,
+Andras Deak,
+Andrea Bedini,
+Andreas Gustafsson,
+Andreas Hilboll,
+Andreas Mayer,
+Andreas Mueller,
+Andreas Wallner,
+Andrew Dawson,
+Andrew Merrill,
+Andrew Nelson,
+Andrew Straw,
+Andy Mastbaum,
+Andy Zhu,
+Ankur Dedania,
+Anthony Scopatz,
+Anton Akhmerov,
+Antony Lee,
+Anubhav Shrimal,
+Ao Liu (frankliuao),
+Ardie Orden,
+Arie,
+Ariel Hernán Curiale,
+Arnaud Gardelein,
+Arpad Horvath,
+Arthur Paulino,
+Arvind,
+Aseem Bansal,
+Ashley Whetter,
+Atharva Khare,
+Avinash Sharma,
+Ayappan P,
+BHT,
+BTWS,
+Bas van Schaik,
+Bastian Bechtold,
+Behram Mistree,
+Ben,
+Ben Cohen,
+Ben Gamari,
+Ben Keller,
+Ben Root,
+Benedikt Daurer,
+Benjamin Bengfort,
+Benjamin Berg,
+Benjamin Congdon,
+Benjamin Reedlunn,
+Bernhard M. Wiedemann,
+Bharat123rox,
+Bianca Gibson,
+Binglin Chang,
+Bingyao Liu,
+Björn Dahlgren,
+Blaise Thompson,
+Boaz Mohar,
+Bradley M. Froehle,
+Brandon Liu,
+Brendan Zhang,
+Brennan Magee,
+Brett Cannon,
+Brett Graham,
+Brian Mattern,
+Brian McLaughlin,
+Brigitta Sipocz,
+Bruno Beltran,
+Bruno Pagani,
+Bruno Zohreh,
+CJ Carey,
+Cameron Bates,
+Cameron Davidson-Pilon,
+Cameron Fackler,
+Carissa Brittain,
+Carl Michal,
+Carsten Schelp,
+Carwyn Pelley,
+Casey Webster,
+Casper van der Wel,
+Charles Moad,
+Charles Ruan,
+Chen Karako,
+Cho Yin Yong,
+Chris,
+Chris Barnes,
+Chris Beaumont,
+Chris G,
+Chris Holdgraf,
+Chris Zimmerman,
+Christer Jensen,
+Christian Brodbeck,
+Christian Brueffer,
+Christian Stade-Schuldt,
+Christoph Dann,
+Christoph Deil,
+Christoph Gohlke,
+Christoph Hoffmann,
+Christoph Pohl,
+Christoph Reiter,
+Christopher Bradshaw,
+Cimarron Mittelsteadt,
+Clemens Brunner,
+Cody Scot,
+Colin,
+Colin Carroll,
+Cong Ma,
+Conner R. Phillips,
+Corey Farwell,
+Craig Citro,
+Craig M,
+Craig Tenney,
+DaCoEx,
+Dakota Blair,
+Damian,
+Damon McDougall,
+Dan Hickstein,
+Dana,
+Daniel C. Marcu,
+Daniel Hyams,
+Daniel Laidig,
+Daniel O'Connor,
+DanielMatu,
+Daniele Nicolodi,
+Danny Hermes,
+Dara Adib,
+Darren Dale,
+DaveL17,
+David A,
+David Anderson,
+David Chudzicki,
+David Haberthür,
+David Huard,
+David Kaplan,
+David Kent,
+David Kua,
+David Stansby,
+David Tre�mouilles,
+Dean Malmgren,
+Deng Tian,
+Derek Kim,
+Derek Tropf,
+Devashish Deshpande,
+Diego Mora Cespedes,
+Dietmar Schwertberger,
+Dietrich Brunn,
+Divyam Madaan,
+Dmitry Lupyan,
+Dmitry Mottl,
+Dmitry Shachnev,
+Dominik Schmidt,
+DonaldSeo,
+Dora Fraeman Caswell,
+DoriekeMG,
+Dorota Jarecka,
+Doug Blank,
+Drew J. Sonne,
+Duncan Macleod,
+Dylan Evans,
+E. G. Patrick Bos,
+Edin Salkovic,
+Edoardo Pizzigoni,
+Egor Panfilov,
+Elan Ernest,
+Elena Glassman,
+Elias Pipping,
+Elijah Schutz,
+Elizabeth Seiver,
+Elliott Sales de Andrade,
+Elvis Stansvik,
+Emil Mikulic,
+Emlyn Price,
+Eric Dill,
+Eric Firing,
+Eric Larson,
+Eric Ma,
+Eric O. LEBIGOT (EOL),
+Eric Relson,
+Eric Wieser,
+Erik Bray,
+Erik M. Bray,
+Erin Pintozzi,
+Eugen Beck,
+Eugene Yurtsev,
+Evan Davey,
+Ezra Peisach,
+Fabian Kloosterman,
+Fabian-Robert Stöter,
+Fabien Maussion,
+Fabio Zanini,
+FedeMiorelli,
+Federico Ariza,
+Felipe,
+Felix,
+Felix Kohlgrüber,
+Felix Yan,
+Fernando Perez,
+Filip Dimitrovski,
+Filipe Fernandes,
+Florencia Noriega,
+Florian Le Bourdais,
+Florian Rhiem,
+Francesco Montesano,
+Francis Colas,
+Franco Vaccari,
+Francoise Provencher,
+Frank Sauerburger,
+Frank Yu,
+François Magimel,
+Gabe,
+Gabriel Munteanu,
+Gal Avineri,
+Galen Lynch,
+Gauravjeet,
+Gaute Hope,
+Gazing,
+Gellule Xg,
+Geoffrey Spear,
+Geoffroy Billotey,
+Georg Raiser,
+Gerald Storer,
+Gina,
+Giovanni,
+Graeme Smecher,
+Graham Poulter,
+Greg Lucas,
+Gregory Ashton,
+Gregory R. Lee,
+Grillard,
+Grégory Lielens,
+Guillaume Gay,
+Guillermo Breto,
+Gustavo Braganca,
+Gustavo Goretkin,
+HHest,
+Hajoon Choi,
+Hakan Kucukdereli,
+Hanno Rein,
+Hans Dembinski,
+Hans Meine,
+Hans Moritz Günther,
+Harnesser,
+Harshal Prakash Patankar,
+Harshit Patni,
+Hassan Kibirige,
+Hastings Greer,
+Heath Henley,
+Heiko Oberdiek,
+Helder,
+Henning Pohl,
+Herbert Kruitbosch,
+Holger Peters,
+Hubert Holin,
+Hugo van Kemenade,
+Ian Hincks,
+Ian Thomas,
+Ida Hjorth,
+Ignas Anikevicius (gns_ank),
+Ildar Akhmetgaleev,
+Ilia Kurenkov,
+Ilya Flyamer,
+ImSoErgodic,
+ImportanceOfBeingErnest,
+Inception95,
+Ingo Fründ,
+Ioannis Filippidis,
+Isa Hassen,
+Isaac Schwabacher,
+Isaac Slavitt,
+Ismo Toijala,
+J Alammar,
+J. Goutin,
+Jaap Versteegh,
+Jack Kelly,
+Jacob McDonald,
+Jacobson Okoro,
+Jae-Joon Lee,
+Jaime Fernandez,
+Jake Lee,
+Jake Vanderplas,
+James A. Bednar,
+James Adams,
+James Pallister,
+James R. Evans,
+JamesMakela,
+Jamie Nunez,
+Jan S. (Milania1),
+Jan Schlüter,
+Jan Schulz,
+Jan-Philip Gehrcke,
+Jan-willem De Bleser,
+Jarrod Millman,
+Jascha Ulrich,
+Jason Grout,
+Jason King,
+Jason Liw Yan Chong,
+Jason Miller,
+Jason Neal,
+Jason Zheng,
+Javad,
+JayP16,
+Jean-Benoist Leger,
+Jeff Lutgen,
+Jeff Whitaker,
+Jeffrey Bingham,
+Jeffrey Hokanson @ Loki,
+JelsB,
+Jens Hedegaard Nielsen,
+Jeremy Fix,
+Jeremy O'Donoghue,
+Jeremy Thurgood,
+Jeroonk,
+Jessica B. Hamrick,
+Jiahao Chen,
+Jim Radford,
+Jochen Voss,
+Jody Klymak,
+Joe Kington,
+Joel B. Mohler,
+Joel Frederico,
+Joel Wanner,
+Johannes H. Jensen,
+Johannes Wienke,
+John Hoffman,
+John Hunter,
+John Vandenberg,
+Johnny Gill,
+JojoBoulix,
+Jon Haitz Legarreta Gorroño,
+Jonas Camillus Jeppesen,
+Jonathan Waltman,
+Jorge Moraleda,
+Jorrit Wronski,
+Joscha Reimer,
+Josef Heinen,
+Joseph Albert,
+Joseph Fox-Rabinovitz,
+Joseph Jon Booker,
+Joseph Martinot-Lagarde,
+Joshua Taillon,
+José Ricardo,
+Jouni K. Seppänen,
+Joy Bhalla,
+Juan Nunez-Iglesias,
+Juanjo Bazán,
+Julia Sprenger,
+Julian Mehne,
+Julian Taylor,
+Julian V. Modesto,
+JulianCienfuegos,
+Julien Lhermitte,
+Julien Schueller,
+Julien Woillez,
+Julien-Charles Lévesque,
+Jun Tan,
+Justin Cai,
+Jörg Dietrich,
+Kacper Kowalik (Xarthisius),
+Kai Muehlbauer,
+Kanchana Ranasinghe,
+Kanwar245,
+Katrin Leinweber,
+Katy Huff,
+Kayla Ngan,
+Keerysanth Sribaskaran,
+Ken McIvor,
+Kenneth Ma,
+Kevin Chan,
+Kevin Davies,
+Kevin Ji,
+Kevin Keating,
+Kevin Mader,
+Kevin Rose,
+Kexuan Sun,
+Kieran Ramos,
+Kimmo Palin,
+Kjartan Myrdal,
+Kjell Le,
+Klara Gerlei,
+Konrad Förstner,
+Konstantin Tretyakov,
+Kristen M. Thyng,
+Kyle Bridgemohansingh,
+Kyle Sunden,
+Kyler Brown,
+Lance Hepler,
+Laptop11_ASPP2016,
+Larry Bradley,
+Laurent Thomas,
+Lawrence D'Anna,
+Leeonadoh,
+Lennart Fricke,
+Leo Singer,
+Leon Loopik,
+Leon Yin,
+LevN0,
+Levi Kilcher,
+Liam Brannigan,
+Lion Krischer,
+Lionel Miller,
+Lodato Luciano,
+Lori J,
+Loïc Estève,
+Loïc Séguin-C,
+Luca Verginer,
+Luis Pedro Coelho,
+Luke Davis,
+Maarten Baert,
+Maciej Dems,
+Magnus Nord,
+Maik Riechert,
+Majid alDosari,
+Maksym P,
+Manan,
+Manan Kevadiya,
+Manish Devgan,
+Manuel GOACOLOU,
+Manuel Jung,
+Manuel Metz,
+Manuel Nuno Melo,
+Maoz Gelbart,
+Marat K,
+Marc Abramowitz,
+Marcel Martin,
+Marco Gorelli,
+MarcoGorelli,
+Marcos Duarte,
+Marek Rudnicki,
+Marianne Corvellec,
+Marin Gilles,
+Mark Harfouche,
+Mark Wolf,
+Marko Baštovanović,
+Markus Roth,
+Markus Rothe,
+Martin Dengler,
+Martin Fitzpatrick,
+Martin Spacek,
+Martin Teichmann,
+Martin Thoma,
+Martin Ueding,
+Massimo Santini,
+Masud Rahman,
+Mathieu Duponchelle,
+Matt Giuca,
+Matt Hancock,
+Matt Klein,
+Matt Li,
+Matt Newville,
+Matt Shen,
+Matt Terry,
+Matthew Bell,
+Matthew Brett,
+Matthew Emmett,
+Matthias Bussonnier,
+Matthias Geier,
+Matthias Lüthi,
+Matthieu Caneill,
+MatthieuDartiailh,
+Matti Picus,
+Matěj Tý�,
+Max Chen,
+Max Humber,
+Max Shinn,
+Maximilian Albert,
+Maximilian Maahn,
+Maximilian Nöthe,
+Maximilian Trescher,
+MeeseeksMachine,
+Mellissa Cross,
+Mher Kazandjian,
+Michael,
+Michael Droettboom,
+Michael Jancsy,
+Michael Sarahan,
+Michael Scott Cuthbert,
+Michael Seifert,
+Michael Welter,
+Michaël Defferrard,
+Michele Mastropietro,
+Michiel de Hoon,
+Michka Popoff,
+Mike Henninger,
+Mike Jarvis,
+Mike Kaufman,
+Mikhail Korobov,
+MinRK,
+Mingkai Dong,
+Minty Zhang,
+MirandaXM,
+Miriam Sierig,
+Mitar,
+Molly Rossow,
+Moritz Boehle,
+Mudit Surana,
+Muhammad Mehdi,
+MuhammadFarooq1234,
+Mykola Dvornik,
+Naoya Kanai,
+Nathan Goldbaum,
+Nathan Musoke,
+Nathaniel M. Beaver,
+Neil,
+Neil Crighton,
+Nelle Varoquaux,
+Niall Robinson,
+Nic Eggert,
+Nicholas Devenish,
+Nick Forrington,
+Nick Garvey,
+Nick Papior,
+Nick Pope,
+Nick Semenkovich,
+Nico Schlömer,
+Nicolas Courtemanche,
+Nicolas P. Rougier,
+Nicolas Pinto,
+Nicolas Tessore,
+Nik Quibin,
+Nikita Kniazev,
+Niklas Koep,
+Nikolay Vyahhi,
+Nils Werner,
+Ninad Bhat,
+Norbert Nemec,
+Norman Fomferra,
+O. Castany,
+OceanWolf,
+Oleg Selivanov,
+Olga Botvinnik,
+Oliver Natt,
+Oliver Willekens,
+Olivier,
+Om Sitapara,
+Omar Chehab,
+Oriol Abril,
+Orso Meneghini,
+Osarumwense,
+Pankaj Pandey,
+Paramonov Andrey,
+Parfenov Sergey,
+Pascal Bugnion,
+Pastafarianist,
+Patrick Chen,
+Patrick Feiring,
+Patrick Marsh,
+Patrick Shriwise,
+PatrickFeiring,
+Paul,
+Paul Barret,
+Paul Ganssle,
+Paul Gierz,
+Paul Hobson,
+Paul Hoffman,
+Paul Ivanov,
+Paul J. Koprowski,
+Paul Kirow,
+Paul Romano,
+Paul Seyfert,
+Pauli Virtanen,
+Pavel Fedin,
+Pavol Juhas,
+Per Parker,
+Perry Greenfield,
+Pete Bachant,
+Pete Huang,
+Pete Peterson,
+Peter Iannucci,
+Peter Mackenzie-Helnwein,
+Peter Mortensen,
+Peter Schutt,
+Peter St. John,
+Peter Würtz,
+Petr Danecek,
+Phil Elson,
+Phil Ruffwind,
+Philippe Pinard,
+Pierre Haessig,
+Pierre Thibault,
+Pierre de Buyl,
+Pim Schellart,
+Piti Ongmongkolkul,
+Po,
+Pranav Garg,
+Przemysław Dąbek,
+Puneeth Chaganti,
+QiCuiHub,
+Qingpeng "Q.P." Zhang,
+RAKOTOARISON Herilalaina,
+Ram Rachum,
+Ramiro Gómez,
+Randy Olson,
+Raphael,
+Rasmus Diederichsen,
+Ratin_Kumar,
+Rebecca W Perry,
+Reinier Heeres,
+Remi Rampin,
+Ricardo Mendes,
+Riccardo Di Maio,
+Richard Gowers,
+Richard Hattersley,
+Richard Ji-Cathriner,
+Richard Trieu,
+Ricky,
+Rishikesh,
+Rob Harrigan,
+Robert Johansson,
+Robin Dunn,
+Robin Neatherway,
+Robin Wilson,
+Rohan Walker,
+Roland Wirth,
+Roman Yurchak,
+Ronald Hartley-Davies,
+RoryIAngus,
+Roy Smith,
+Rui Lopes,
+Russell Owen,
+RutgerK,
+Ryan,
+Ryan Blomberg,
+Ryan D'Souza,
+Ryan Dale,
+Ryan May,
+Ryan Morshead,
+Ryan Nelson,
+RyanPan,
+SBCV,
+Sairam Pillai,
+Saket Choudhary,
+Salganos,
+Salil Vanvari,
+Salinder Sidhu,
+Sam Vaughan,
+SamSchott,
+Sameer D'Costa,
+Samesh Lakhotia,
+Samson,
+Samuel St-Jean,
+Sander,
+Sandro Tosi,
+Scott Howard,
+Scott Lasley,
+Scott Lawrence,
+Scott Stevenson,
+Sean Farley,
+Sebastian Bullinger,
+Sebastian Pinnau,
+Sebastian Raschka,
+Sebastián Vanrell,
+Seraphim Alvanides,
+Sergey B Kirpichev,
+Sergey Kholodilov,
+Sergey Koposov,
+Seunghoon Park,
+Siddhesh Poyarekar,
+Sidharth Bansal,
+Silviu Tantos,
+Simon Cross,
+Simon Gibbons,
+Simon Legner,
+Skelpdar,
+Skipper Seabold,
+Slav Basharov,
+Snowhite,
+SojiroFukuda,
+Sourav Singh,
+Spencer McIntyre,
+Stanley, Simon,
+Stefan Lehmann,
+Stefan Mitic,
+Stefan Pfenninger,
+Stefan van der Walt,
+Stefano Rivera,
+Stephan Erb,
+Stephane Raynaud,
+Stephen Horst,
+Stephen-Chilcote,
+Sterling Smith,
+Steve Chaplin,
+Steve Dower,
+Steven G. Johnson,
+Steven Munn,
+Steven Silvester,
+Steven Tilley,
+Stuart Mumford,
+Tadeo Corradi,
+Taehoon Lee,
+Takafumi Arakaki,
+Takeshi Kanmae,
+Tamas Gal,
+Tanuj,
+Taras Kuzyo,
+Ted Drain,
+Ted Petrou,
+Terence Honles,
+Terrence J. Katzenbaer,
+Terrence Katzenbaer,
+The Gitter Badger,
+Thein Oo,
+Thomas A Caswell,
+Thomas Hisch,
+Thomas Kluyver,
+Thomas Lake,
+Thomas Levine,
+Thomas Mansencal,
+Thomas Robitaille,
+Thomas Spura,
+Thomas VINCENT,
+Thorsten Liebig,
+Tian Xia,
+Till Hoffmann,
+Till Stensitzki,
+Tim Hoffmann,
+Timo Vanwynsberghe,
+Tobia De Koninck,
+Tobias Froehlich,
+Tobias Hoppe,
+Tobias Megies,
+Todd Jennings,
+Todd Miller,
+Tom,
+Tom Augspurger,
+Tom Dupré la Tour,
+Tom Flannaghan,
+Tomas Kazmar,
+Tony S Yu,
+Tor Colvin,
+Travis Oliphant,
+Trevor Bekolay,
+Trish Gillett-Kawamoto,
+Truong Pham,
+Tuan Dung Tran,
+Tyler Makaro,
+Tyrone Xiong,
+Ulrich Dobramysl,
+Umair Idris,
+V. Armando Solé,
+V. R,
+Vadim Markovtsev,
+Valentin Haenel,
+Valentin Schmidt,
+Vedant Nanda,
+Venkada,
+Vidur Satija,
+Viktor Kerkez,
+Vincent L.M. Mazoyer,
+Viraj Mohile,
+Vitaly Buka,
+Vlad Seghete,
+Víctor Terrón,
+Víctor Zabalza,
+WANG Aiyong,
+Warren Weckesser,
+Wen Li,
+Wendell Smith,
+Werner F Bruhin,
+Wes Campaigne,
+Wieland Hoffmann,
+Will Handley,
+Will Silva,
+William Granados,
+William Mallard,
+William Manley,
+Wouter Overmeire,
+Xiaowen Tang,
+Xufeng Wang,
+Yann Tambouret,
+Yao-Yuan Mao,
+Yaron de Leeuw,
+Yu Feng,
+Yue Zhihan,
+Yunfei Yang,
+Yuri D'Elia,
+Yuval Langer,
+Yuxin Wu,
+Yuya,
+Zac Hatfield-Dodds,
+Zach Pincus,
+Zair Mubashar,
+Zbigniew Jędrzejewski-Szmek,
+Zhili (Jerry) Pan,
+Zulko,
+ahed87,
+akrherz,
+alcinos,
+alex,
+alvarosg,
+andrzejnovak,
+aneda,
+anykraus,
+aparamon,
+apodemus,
+arokem,
+as691454,
+aseagram,
+ash13,
+aszilagyi,
+azure-pipelines[bot],
+bblay,
+bduick,
+bev-a-tron,
+blackw1ng,
+blah blah,
+brut,
+btang02,
+buefox,
+burrbull,
+butterw,
+cammil,
+captainwhippet,
+cclauss,
+ch3rn0v,
+chadawagner,
+chaoyi1,
+chebee7i,
+chelseatroy,
+chuanzhu xu,
+cknd,
+cldssty,
+clintval,
+dabana,
+dahlbaek,
+danielballan,
+daronjp,
+davidovitch,
+daydreamt,
+deeenes,
+deepyaman,
+djdt,
+dlmccaffrey,
+domspad,
+donald,
+donchanee,
+drevicko,
+e-q,
+elpres,
+endolith,
+esvhd,
+et2010,
+fardal,
+ffteja,
+fgb,
+fibersnet,
+fourpoints,
+fredrik-1,
+frenchwr,
+fuzzythecat,
+fvgoto,
+gcallah,
+gitj,
+gluap,
+gnaggnoyil,
+goir,
+goldstarwebs,
+greg-roper,
+gregorybchris,
+gwin-zegal,
+hannah,
+helmiriawan,
+henryhu123,
+hugadams,
+ilivni,
+insertroar,
+itziakos,
+jacob-on-github,
+jb-leger,
+jbbrokaw,
+jbhopkins,
+jdollichon,
+jerrylui803,
+jess,
+jfbu,
+jhelie,
+jli,
+joaonsg,
+joelostblom,
+jonchar,
+juan.gonzalez,
+kcrisman,
+keithbriggs,
+kelsiegr,
+khyox,
+kikocorreoso,
+klaus,
+klonuo,
+kolibril13,
+kramer65,
+krishna katyal,
+ksafran,
+kshramt,
+lboogaard,
+legitz7,
+lepuchi,
+lichri12,
+limtaesu,
+lspvic,
+luftek,
+luz.paz,
+lzkelley,
+mamrehn,
+marky,
+masamson,
+mbyt,
+mcelrath,
+mcquin,
+mdipierro,
+mikhailov,
+miquelastein,
+mitch,
+mlub,
+mobando,
+mromanie,
+muahah,
+myyc,
+nathan78906,
+navdeep rana,
+nbrunett,
+nemanja,
+neok-m4700,
+nepix32,
+nickystringer,
+njwhite,
+nmartensen,
+nwin,
+ob,
+pdubcali,
+pibion,
+pkienzle,
+productivememberofsociety666,
+profholzer,
+pupssman,
+rahiel,
+ranjanm,
+rebot,
+rhoef,
+rsnape,
+ruin,
+rvhbooth,
+s0vereign,
+s9w,
+saksmito,
+scls19fr,
+scott-vsi,
+sdementen,
+serv-inc,
+settheory,
+sfroid,
+shaunwbell,
+simon-kraeusel,
+simonpf,
+sindunuragarp,
+smheidrich,
+sohero,
+spiessbuerger,
+stahlous,
+stone,
+stonebig,
+switham,
+sxntxn,
+syngron,
+teresy,
+thoo,
+thuvejan,
+tmdavison,
+tomoemon,
+tonyyli,
+torfbolt,
+u55,
+ugurthemaster,
+ultra-andy,
+vab9,
+vbr,
+vishalBindal,
+vraelvrangr,
+watkinrt,
+woclass,
+xbtsw,
+xuanyuansen,
+y1thof,
+yeo,
+zhangeugenia,
+zhoubecky,
+Élie Gouzien,
+�ндрей Парамонов
+
+Some earlier contributors not included above are (with apologies
+to any we have missed):
+
+Charles Twardy,
+Gary Ruben,
+John Gill,
+David Moore,
+Paul Barrett,
+Jared Wahlstrand,
+Jim Benson,
+Paul Mcguire,
+Andrew Dalke,
+Nadia Dencheva,
+Baptiste Carvello,
+Sigve Tjoraand,
+Ted Drain,
+James Amundson,
+Daishi Harada,
+Nicolas Young,
+Paul Kienzle,
+John Porter,
+and Jonathon Taylor.
+
+Thanks to Tony Yu for the original logo design.
+
+We also thank all who have reported bugs, commented on
+proposed changes, or otherwise contributed to Matplotlib's
+development and usefulness.
diff --git a/doc/project/history.rst b/doc/project/history.rst
new file mode 100644
index 000000000000..966b7a3caa38
--- /dev/null
+++ b/doc/project/history.rst
@@ -0,0 +1,215 @@
+.. redirect-from:: /users/history
+.. redirect-from:: /users/project/history
+
+.. _project_history:
+
+History
+=======
+
+.. note::
+
+   The following introductory text was written in 2008 by John D. Hunter
+   (1968-2012), the original author of Matplotlib.
+
+Matplotlib is a library for making 2D plots of arrays in `Python
+<https://www.python.org>`_.  Although it has its origins in emulating
+the MATLAB graphics commands, it is
+independent of MATLAB, and can be used in a Pythonic, object-oriented
+way.  Although Matplotlib is written primarily in pure Python, it
+makes heavy use of `NumPy <https://numpy.org>`_ and other extension
+code to provide good performance even for large arrays.
+
+Matplotlib is designed with the philosophy that you should be able to
+create simple plots with just a few commands, or just one!  If you
+want to see a histogram of your data, you shouldn't need to
+instantiate objects, call methods, set properties, and so on; it
+should just work.
+
+For years, I used to use MATLAB exclusively for data analysis and
+visualization.  MATLAB excels at making nice looking plots easy.  When
+I began working with EEG data, I found that I needed to write
+applications to interact with my data, and developed an EEG analysis
+application in MATLAB.  As the application grew in complexity,
+interacting with databases, http servers, manipulating complex data
+structures, I began to strain against the limitations of MATLAB as a
+programming language, and decided to start over in Python.  Python
+more than makes up for all of MATLAB's deficiencies as a programming
+language, but I was having difficulty finding a 2D plotting package
+(for 3D `VTK <http://www.vtk.org/>`_ more than exceeds all of my
+needs).
+
+When I went searching for a Python plotting package, I had several
+requirements:
+
+* Plots should look great - publication quality.  One important
+  requirement for me is that the text looks good (antialiased, etc.)
+
+* Postscript output for inclusion with TeX documents
+
+* Embeddable in a graphical user interface for application
+  development
+
+* Code should be easy enough that I can understand it and extend
+  it
+
+* Making plots should be easy
+
+Finding no package that suited me just right, I did what any
+self-respecting Python programmer would do: rolled up my sleeves and
+dived in.  Not having any real experience with computer graphics, I
+decided to emulate MATLAB's plotting capabilities because that is
+something MATLAB does very well.  This had the added advantage that
+many people have a lot of MATLAB experience, and thus they can
+quickly get up to steam plotting in python.  From a developer's
+perspective, having a fixed user interface (the pylab interface) has
+been very useful, because the guts of the code base can be redesigned
+without affecting user code.
+
+The Matplotlib code is conceptually divided into three parts: the
+*pylab interface* is the set of functions provided by
+:mod:`pylab` which allow the user to create plots with code
+quite similar to MATLAB figure generating code
+(:ref:`pyplot_tutorial`).  The *Matplotlib frontend* or *Matplotlib
+API* is the set of classes that do the heavy lifting, creating and
+managing figures, text, lines, plots and so on
+(:ref:`artists_tutorial`).  This is an abstract interface that knows
+nothing about output.  The *backends* are device-dependent drawing
+devices, aka renderers, that transform the frontend representation to
+hardcopy or a display device (:ref:`what-is-a-backend`).  Example
+backends: PS creates `PostScript®
+<https://www.adobe.com/products/postscript.html>`_ hardcopy, SVG
+creates `Scalable Vector Graphics <https://www.w3.org/Graphics/SVG/>`_
+hardcopy, Agg creates PNG output using the high quality `Anti-Grain
+Geometry <http://agg.sourceforge.net/antigrain.com/>`_
+library that ships with Matplotlib, GTK embeds Matplotlib in a
+`Gtk+ <https://www.gtk.org/>`_
+application, GTKAgg uses the Anti-Grain renderer to create a figure
+and embed it in a Gtk+ application, and so on for `PDF
+<https://acrobat.adobe.com/us/en/acrobat/about-adobe-pdf.html>`_, `WxWidgets
+<https://www.wxpython.org/>`_, `Tkinter
+<https://docs.python.org/3/library/tkinter.html>`_, etc.
+
+Matplotlib is used by many people in many different contexts.  Some
+people want to automatically generate PostScript files to send
+to a printer or publishers.  Others deploy Matplotlib on a web
+application server to generate PNG output for inclusion in
+dynamically-generated web pages.  Some use Matplotlib interactively
+from the Python shell in Tkinter on Windows. My primary use is to
+embed Matplotlib in a Gtk+ EEG application that runs on Windows, Linux
+and Macintosh OS X.
+
+----
+
+Matplotlib's original logo (2003 -- 2008).
+
+..
+   The original logo was added in fc8c215.
+
+.. plot::
+
+   from matplotlib import cbook, pyplot as plt, style
+   import numpy as np
+
+   style.use("classic")
+
+   datafile = cbook.get_sample_data('membrane.dat', asfileobj=False)
+
+   # convert data to mV
+   x = 1000 * 0.1 * np.fromstring(open(datafile, 'rb').read(), np.float32)
+   # 0.0005 is the sample interval
+   t = 0.0005 * np.arange(len(x))
+   plt.figure(1, figsize=(7, 1), dpi=100)
+   ax = plt.subplot(111, facecolor='y')
+   plt.plot(t, x)
+   plt.text(0.5, 0.5, 'matplotlib', color='r',
+            fontsize=40, fontname=['Courier', 'DejaVu Sans Mono'],
+            horizontalalignment='center',
+            verticalalignment='center',
+            transform=ax.transAxes,
+            )
+   plt.axis([1, 1.72, -60, 10])
+   plt.gca().set_xticklabels([])
+   plt.gca().set_yticklabels([])
+
+Matplotlib logo (2008 - 2015).
+
+..
+   This logo was added in 325e47b.
+
+.. plot::
+
+   import numpy as np
+   import matplotlib as mpl
+   import matplotlib.pyplot as plt
+   import matplotlib.cm as cm
+
+   mpl.rcParams['xtick.labelsize'] = 10
+   mpl.rcParams['ytick.labelsize'] = 12
+   mpl.rcParams['axes.edgecolor'] = 'gray'
+
+
+   axalpha = 0.05
+   figcolor = 'white'
+   dpi = 80
+   fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
+   fig.patch.set_edgecolor(figcolor)
+   fig.patch.set_facecolor(figcolor)
+
+
+   def add_math_background():
+       ax = fig.add_axes([0., 0., 1., 1.])
+
+       text = []
+       text.append(
+           (r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
+            r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2}"
+            r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 "
+            r"\left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - "
+            r"\alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} "
+            r"}{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))
+       text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} "
+                    r"= -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",
+                    (0.35, 0.9), 20))
+       text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
+                    (0.15, 0.3), 25))
+       text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
+                    (0.85, 0.7), 30))
+       for eq, (x, y), size in text:
+            ax.text(x, y, eq, ha='center', va='center', color="#11557c",
+                   alpha=0.25, transform=ax.transAxes, fontsize=size)
+       ax.set_axis_off()
+       return ax
+
+
+   def add_matplotlib_text(ax):
+       ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,
+               ha='right', va='center', alpha=1.0, transform=ax.transAxes)
+
+
+   def add_polar_bar():
+       ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], projection='polar')
+
+       ax.patch.set_alpha(axalpha)
+       ax.set_axisbelow(True)
+       N = 7
+       arc = 2. * np.pi
+       theta = np.arange(0.0, arc, arc/N)
+       radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
+       width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
+       bars = ax.bar(theta, radii, width=width, bottom=0.0)
+       for r, bar in zip(radii, bars):
+           bar.set_facecolor(cm.jet(r/10.))
+           bar.set_alpha(0.6)
+
+       ax.tick_params(labelbottom=False, labeltop=False,
+                      labelleft=False, labelright=False)
+
+       ax.grid(lw=0.8, alpha=0.9, ls='-', color='0.5')
+
+       ax.set_yticks(np.arange(1, 9, 2))
+       ax.set_rmax(9)
+
+
+   main_axes = add_math_background()
+   add_polar_bar()
+   add_matplotlib_text(main_axes)
diff --git a/doc/project/index.rst b/doc/project/index.rst
new file mode 100644
index 000000000000..c7e230339dc9
--- /dev/null
+++ b/doc/project/index.rst
@@ -0,0 +1,15 @@
+.. redirect-from:: /users/backmatter
+.. redirect-from:: /users/project/index
+
+Project information
+===================
+
+.. toctree::
+    :maxdepth: 2
+
+    mission.rst
+    history.rst
+    Code of Conduct <code_of_conduct.rst>
+    citing.rst
+    license.rst
+    credits.rst
diff --git a/doc/project/license.rst b/doc/project/license.rst
new file mode 100644
index 000000000000..eba9ef23cf62
--- /dev/null
+++ b/doc/project/license.rst
@@ -0,0 +1,138 @@
+.. _license:
+
+.. redirect-from:: /users/license
+.. redirect-from:: /users/project/license
+
+*******
+License
+*******
+
+Matplotlib only uses BSD compatible code, and its license is based on
+the `PSF <https://docs.python.org/3/license.html>`_ license.  See the Open
+Source Initiative `licenses page
+<https://opensource.org/licenses>`_ for details on individual
+licenses. Non-BSD compatible licenses (e.g., LGPL) are acceptable in
+matplotlib toolkits.  For a discussion of the motivations behind the
+licencing choice, see :ref:`license-discussion`.
+
+Copyright policy
+================
+
+John Hunter began Matplotlib around 2003.  Since shortly before his
+passing in 2012, Michael Droettboom has been the lead maintainer of
+Matplotlib, but, as has always been the case, Matplotlib is the work
+of many.
+
+Prior to July of 2013, and the 1.3.0 release, the copyright of the
+source code was held by John Hunter.  As of July 2013, and the 1.3.0
+release, matplotlib has moved to a shared copyright model.
+
+Matplotlib uses a shared copyright model. Each contributor maintains
+copyright over their contributions to Matplotlib. But, it is important to
+note that these contributions are typically only changes to the
+repositories. Thus, the Matplotlib source code, in its entirety, is not
+the copyright of any single person or institution.  Instead, it is the
+collective copyright of the entire Matplotlib Development Team.  If
+individual contributors want to maintain a record of what
+changes/contributions they have specific copyright on, they should
+indicate their copyright in the commit message of the change, when
+they commit the change to one of the matplotlib repositories.
+
+The Matplotlib Development Team is the set of all contributors to the
+matplotlib project.  A full list can be obtained from the git version
+control logs.
+
+.. _license-agreement:
+
+License agreement
+=================
+
+.. dropdown:: License agreement for Matplotlib versions 1.3.0 and later
+   :open:
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE
+      :language: none
+
+
+
+Bundled software
+================
+
+.. dropdown:: JSX Tools Resize Observer
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER
+      :language: none
+
+.. dropdown:: QT4 Editor
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_QT4_EDITOR
+      :language: none
+
+
+.. _licenses-cmaps-styles:
+
+Colormaps and themes
+--------------------
+
+.. dropdown:: ColorBrewer
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_COLORBREWER
+      :language: none
+
+.. dropdown:: Solarized
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_SOLARIZED
+      :language: none
+
+.. dropdown:: Yorick
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_YORICK
+      :language: none
+
+
+.. _licenses-fonts:
+
+Fonts
+-----
+
+.. dropdown:: American Mathematical Society (AMS) fonts
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_AMSFONTS
+      :language: none
+
+.. dropdown:: BaKoMa
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_BAKOMA
+      :language: none
+
+.. dropdown:: Carlogo
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_CARLOGO
+      :language: none
+
+.. dropdown:: Courier 10
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_COURIERTEN
+      :language: none
+
+.. dropdown:: Last Resort
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_LAST_RESORT_FONT
+      :language: none
+
+.. dropdown:: STIX
+   :class-container: sdd
+
+   .. literalinclude:: ../../LICENSE/LICENSE_STIX
+      :language: none
diff --git a/doc/project/mission.rst b/doc/project/mission.rst
new file mode 100644
index 000000000000..1b7a68afcc67
--- /dev/null
+++ b/doc/project/mission.rst
@@ -0,0 +1,24 @@
+.. _mission-statement:
+.. redirect-from:: /users/project/mission
+
+Mission Statement
+=================
+
+The Matplotlib developer community develops, maintains, and supports Matplotlib
+and its extensions to provide data visualization tools for the Scientific
+Python Ecosystem.
+
+Adapting the requirements :ref:`laid out by John Hunter <project_history>`
+Matplotlib should:
+
+* Support users of the Scientific Python ecosystem;
+* Facilitate interactive data exploration;
+* Produce high-quality raster and vector format outputs suitable for publication;
+* Provide a simple graphical user interface and support embedding in applications;
+* Be understandable and extensible by people familiar with data processing in Python;
+* Make common plots easy, and novel or complex visualizations possible.
+
+We believe that a diverse developer community creates the best software, and we
+welcome anyone who shares our mission, and our values described in the `code of
+conduct
+<https://github.com/matplotlib/matplotlib/blob/main/CODE_OF_CONDUCT.md>`__.
diff --git a/doc/pyplots/README b/doc/pyplots/README
deleted file mode 100644
index 464d7067e6fc..000000000000
--- a/doc/pyplots/README
+++ /dev/null
@@ -1,10 +0,0 @@
-Please add a line to this file for any additional requirements necessary to
-generate a new figure.
-
-tex_demo.py and tex_unicode_demo.py:
-  latex
-  dvipng
-
-
-plotmap.py:
-    basemap toolkit
diff --git a/doc/pyplots/align_ylabels.py b/doc/pyplots/align_ylabels.py
deleted file mode 100644
index 1241c1836299..000000000000
--- a/doc/pyplots/align_ylabels.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-box = dict(facecolor='yellow', pad=5, alpha=0.2)
-
-fig = plt.figure()
-fig.subplots_adjust(left=0.2, wspace=0.6)
-
-
-ax1 = fig.add_subplot(221)
-ax1.plot(2000*np.random.rand(10))
-ax1.set_title('ylabels not aligned')
-ax1.set_ylabel('misaligned 1', bbox=box)
-ax1.set_ylim(0, 2000)
-ax3 = fig.add_subplot(223)
-ax3.set_ylabel('misaligned 2',bbox=box)
-ax3.plot(np.random.rand(10))
-
-
-labelx = -0.3  # axes coords
-
-ax2 = fig.add_subplot(222)
-ax2.set_title('ylabels aligned')
-ax2.plot(2000*np.random.rand(10))
-ax2.set_ylabel('aligned 1', bbox=box)
-ax2.yaxis.set_label_coords(labelx, 0.5)
-ax2.set_ylim(0, 2000)
-
-ax4 = fig.add_subplot(224)
-ax4.plot(np.random.rand(10))
-ax4.set_ylabel('aligned 2', bbox=box)
-ax4.yaxis.set_label_coords(labelx, 0.5)
-
-
-plt.show()
diff --git a/doc/pyplots/annotate_transform.py b/doc/pyplots/annotate_transform.py
deleted file mode 100644
index c3abd2369852..000000000000
--- a/doc/pyplots/annotate_transform.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-x = np.arange(0, 10, 0.005)
-y = np.exp(-x/2.) * np.sin(2*np.pi*x)
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-ax.plot(x, y)
-ax.set_xlim(0, 10)
-ax.set_ylim(-1, 1)
-
-xdata, ydata = 5, 0
-xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))
-
-bbox = dict(boxstyle="round", fc="0.8")
-arrowprops = dict(
-    arrowstyle = "->",
-    connectionstyle = "angle,angleA=0,angleB=90,rad=10")
-
-offset = 72
-ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),
-            (xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
-            bbox=bbox, arrowprops=arrowprops)
-
-
-disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),
-            (xdisplay, ydisplay), xytext=(0.5*offset, -offset),
-            xycoords='figure pixels',
-            textcoords='offset points',
-            bbox=bbox, arrowprops=arrowprops)
-
-
-plt.show()
diff --git a/doc/pyplots/annotation_basic.py b/doc/pyplots/annotation_basic.py
deleted file mode 100644
index 846afd7b9018..000000000000
--- a/doc/pyplots/annotation_basic.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-
-t = np.arange(0.0, 5.0, 0.01)
-s = np.cos(2*np.pi*t)
-line, = ax.plot(t, s, lw=2)
-
-ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            )
-
-ax.set_ylim(-2,2)
-plt.show()
diff --git a/doc/pyplots/annotation_polar.py b/doc/pyplots/annotation_polar.py
deleted file mode 100644
index 9eba8cfe0d73..000000000000
--- a/doc/pyplots/annotation_polar.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-ax = fig.add_subplot(111, polar=True)
-r = np.arange(0,1,0.001)
-theta = 2*2*np.pi*r
-line, = ax.plot(theta, r, color='#ee8d18', lw=3)
-
-ind = 800
-thisr, thistheta = r[ind], theta[ind]
-ax.plot([thistheta], [thisr], 'o')
-ax.annotate('a polar annotation',
-            xy=(thistheta, thisr),  # theta, radius
-            xytext=(0.05, 0.05),    # fraction, fraction
-            textcoords='figure fraction',
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            horizontalalignment='left',
-            verticalalignment='bottom',
-            )
-plt.show()
diff --git a/doc/pyplots/auto_subplots_adjust.py b/doc/pyplots/auto_subplots_adjust.py
deleted file mode 100644
index ca7f04144be3..000000000000
--- a/doc/pyplots/auto_subplots_adjust.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.transforms as mtransforms
-fig = plt.figure()
-ax = fig.add_subplot(111)
-ax.plot(range(10))
-ax.set_yticks((2,5,7))
-labels = ax.set_yticklabels(('really, really, really', 'long', 'labels'))
-
-def on_draw(event):
-   bboxes = []
-   for label in labels:
-       bbox = label.get_window_extent()
-       # the figure transform goes from relative coords->pixels and we
-       # want the inverse of that
-       bboxi = bbox.inverse_transformed(fig.transFigure)
-       bboxes.append(bboxi)
-
-   # this is the bbox that bounds all the bboxes, again in relative
-   # figure coords
-   bbox = mtransforms.Bbox.union(bboxes)
-   if fig.subplotpars.left < bbox.width:
-       # we need to move it over
-       fig.subplots_adjust(left=1.1*bbox.width) # pad a little
-       fig.canvas.draw()
-   return False
-
-fig.canvas.mpl_connect('draw_event', on_draw)
-
-plt.show()
-
diff --git a/doc/pyplots/boxplot_demo.py b/doc/pyplots/boxplot_demo.py
deleted file mode 100644
index b5b46f2f1eb9..000000000000
--- a/doc/pyplots/boxplot_demo.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/python
-
-#
-# Example boxplot code
-#
-
-from pylab import *
-
-# fake up some data
-spread= rand(50) * 100
-center = ones(25) * 50
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-data =concatenate((spread, center, flier_high, flier_low), 0)
-
-# basic plot
-boxplot(data)
-#savefig('box1')
-
-# notched plot
-figure()
-boxplot(data,1)
-#savefig('box2')
-
-# change outlier point symbols
-figure()
-boxplot(data,0,'gD')
-#savefig('box3')
-
-# don't show outlier points
-figure()
-boxplot(data,0,'')
-#savefig('box4')
-
-# horizontal boxes
-figure()
-boxplot(data,0,'rs',0)
-#savefig('box5')
-
-# change whisker length
-figure()
-boxplot(data,0,'rs',0,0.75)
-#savefig('box6')
-
-# fake up some more data
-spread= rand(50) * 100
-center = ones(25) * 40
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-d2 = concatenate( (spread, center, flier_high, flier_low), 0 )
-data.shape = (-1, 1)
-d2.shape = (-1, 1)
-#data = concatenate( (data, d2), 1 )
-# Making a 2-D array only works if all the columns are the
-# same length.  If they are not, then use a list instead.
-# This is actually more efficient because boxplot converts
-# a 2-D array into a list of vectors internally anyway.
-data = [data, d2, d2[::2,0]]
-# multiple box plots on one figure
-figure()
-boxplot(data)
-#savefig('box7')
-
-show()
-
diff --git a/doc/pyplots/compound_path_demo.py b/doc/pyplots/compound_path_demo.py
deleted file mode 100644
index 06f32ffcbf40..000000000000
--- a/doc/pyplots/compound_path_demo.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import numpy as np
-
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.path as path
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-
-# histogram our data with numpy
-data = np.random.randn(1000)
-n, bins = np.histogram(data, 100)
-
-# get the corners of the rectangles for the histogram
-left = np.array(bins[:-1])
-right = np.array(bins[1:])
-bottom = np.zeros(len(left))
-top = bottom + n
-nrects = len(left)
-
-nverts = nrects*(1+3+1)
-verts = np.zeros((nverts, 2))
-codes = np.ones(nverts, int) * path.Path.LINETO
-codes[0::5] = path.Path.MOVETO
-codes[4::5] = path.Path.CLOSEPOLY
-verts[0::5,0] = left
-verts[0::5,1] = bottom
-verts[1::5,0] = left
-verts[1::5,1] = top
-verts[2::5,0] = right
-verts[2::5,1] = top
-verts[3::5,0] = right
-verts[3::5,1] = bottom
-
-barpath = path.Path(verts, codes)
-patch = patches.PathPatch(barpath, facecolor='green', edgecolor='yellow', alpha=0.5)
-ax.add_patch(patch)
-
-ax.set_xlim(left[0], right[-1])
-ax.set_ylim(bottom.min(), top.max())
-
-plt.show()
diff --git a/doc/pyplots/dollar_ticks.py b/doc/pyplots/dollar_ticks.py
deleted file mode 100644
index c54b17b91b7c..000000000000
--- a/doc/pyplots/dollar_ticks.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.ticker as ticker
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-ax.plot(100*np.random.rand(20))
-
-formatter = ticker.FormatStrFormatter('$%1.2f')
-ax.yaxis.set_major_formatter(formatter)
-
-for tick in ax.yaxis.get_major_ticks():
-    tick.label1On = False
-    tick.label2On = True
-    tick.label2.set_color('green')
-
-
diff --git a/doc/pyplots/fig_axes_customize_simple.py b/doc/pyplots/fig_axes_customize_simple.py
deleted file mode 100644
index 797cd3389a78..000000000000
--- a/doc/pyplots/fig_axes_customize_simple.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-# plt.figure creates a matplotlib.figure.Figure instance
-fig = plt.figure()
-rect = fig.patch # a rectangle instance
-rect.set_facecolor('lightgoldenrodyellow')
-
-ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
-rect = ax1.patch
-rect.set_facecolor('lightslategray')
-
-
-for label in ax1.xaxis.get_ticklabels():
-    # label is a Text instance
-    label.set_color('red')
-    label.set_rotation(45)
-    label.set_fontsize(16)
-
-for line in ax1.yaxis.get_ticklines():
-    # line is a Line2D instance
-    line.set_color('green')
-    line.set_markersize(25)
-    line.set_markeredgewidth(3)
-
-
-
diff --git a/doc/pyplots/fig_axes_labels_simple.py b/doc/pyplots/fig_axes_labels_simple.py
deleted file mode 100644
index 7fd2c53a4f2f..000000000000
--- a/doc/pyplots/fig_axes_labels_simple.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-fig.subplots_adjust(top=0.8)
-ax1 = fig.add_subplot(211)
-ax1.set_ylabel('volts')
-ax1.set_title('a sine wave')
-
-t = np.arange(0.0, 1.0, 0.01)
-s = np.sin(2*np.pi*t)
-line, = ax1.plot(t, s, color='blue', lw=2)
-
-ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
-n, bins, patches = ax2.hist(np.random.randn(1000), 50,
-    facecolor='yellow', edgecolor='yellow')
-ax2.set_xlabel('time (s)')
-
-
diff --git a/doc/pyplots/fig_x.py b/doc/pyplots/fig_x.py
deleted file mode 100644
index 1ab412949429..000000000000
--- a/doc/pyplots/fig_x.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.lines as lines
-fig = plt.figure()
-
-l1 = lines.Line2D([0, 1], [0, 1], transform=fig.transFigure, figure=fig)
-
-l2 = lines.Line2D([0, 1], [1, 0], transform=fig.transFigure, figure=fig)
-
-fig.lines.extend([l1, l2])
-
-
diff --git a/doc/pyplots/make.py b/doc/pyplots/make.py
deleted file mode 100755
index cc58688aa66b..000000000000
--- a/doc/pyplots/make.py
+++ /dev/null
@@ -1,75 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-import sys, os, glob
-import matplotlib
-import IPython.Shell
-#matplotlib.rcdefaults()
-matplotlib.use('Agg')
-
-mplshell = IPython.Shell.MatplotlibShell('mpl')
-
-formats = [('png', 100),
-           ('hires.png', 200),
-           ('pdf', 72)]
-
-def figs():
-    print('making figs')
-    import matplotlib.pyplot as plt
-    for fname in glob.glob('*.py'):
-        if fname.split('/')[-1] == __file__.split('/')[-1]: continue
-        basename, ext = os.path.splitext(fname)
-        imagefiles = dict([('%s.%s'%(basename, format), dpi)
-                           for format, dpi in formats])
-        all_exists = True
-        for imagefile in imagefiles:
-            if not os.path.exists(imagefile):
-                all_exists = False
-                break
-
-        if all_exists:
-            print('    already have %s'%fname)
-        else:
-            print('    building %s'%fname)
-            plt.close('all')    # we need to clear between runs
-            mplshell.magic_run(basename)
-            for imagefile, dpi in imagefiles.iteritems():
-                # todo: this will get called even if the run script
-                # fails and exits, thus creating a stub pdf and png
-                # iles preventing them from getting built successfully
-                # later
-                plt.savefig(imagefile, dpi=dpi)
-    print('all figures made')
-
-
-def clean():
-    patterns = (['#*', '*~', '*pyc'] +
-                ['*.%s' % format for format, dpi in formats])
-    for pattern in patterns:
-        for fname in glob.glob(pattern):
-            os.remove(fname)
-    print('all clean')
-
-
-
-def all():
-    figs()
-
-funcd = {'figs':figs,
-         'clean':clean,
-         'all':all,
-         }
-
-if len(sys.argv)>1:
-    for arg in sys.argv[1:]:
-        func = funcd.get(arg)
-        if func is None:
-            raise SystemExit('Do not know how to handle %s; valid args are'%(
-                    arg, funcd.keys()))
-        func()
-else:
-    all()
-
-
-
-
diff --git a/doc/pyplots/plotmap.hires.png b/doc/pyplots/plotmap.hires.png
deleted file mode 100644
index b1d0c35540a5..000000000000
Binary files a/doc/pyplots/plotmap.hires.png and /dev/null differ
diff --git a/doc/pyplots/plotmap.pdf b/doc/pyplots/plotmap.pdf
deleted file mode 100644
index ad51edbb7597..000000000000
Binary files a/doc/pyplots/plotmap.pdf and /dev/null differ
diff --git a/doc/pyplots/plotmap.png b/doc/pyplots/plotmap.png
deleted file mode 100644
index 5f33c425a335..000000000000
Binary files a/doc/pyplots/plotmap.png and /dev/null differ
diff --git a/doc/pyplots/plotmap.py b/doc/pyplots/plotmap.py
deleted file mode 100644
index 98a5d64bb135..000000000000
--- a/doc/pyplots/plotmap.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-try:
-    from mpl_toolkits.basemap import Basemap
-    have_basemap = True
-except ImportError:
-    have_basemap = False
-
-
-def plotmap():
-    # create figure
-    fig = plt.figure(figsize=(8,8))
-    # set up orthographic map projection with
-    # perspective of satellite looking down at 50N, 100W.
-    # use low resolution coastlines.
-    map = Basemap(projection='ortho',lat_0=50,lon_0=-100,resolution='l')
-    # lat/lon coordinates of five cities.
-    lats=[40.02,32.73,38.55,48.25,17.29]
-    lons=[-105.16,-117.16,-77.00,-114.21,-88.10]
-    cities=['Boulder, CO','San Diego, CA',
-            'Washington, DC','Whitefish, MT','Belize City, Belize']
-    # compute the native map projection coordinates for cities.
-    xc,yc = map(lons,lats)
-    # make up some data on a regular lat/lon grid.
-    nlats = 73; nlons = 145; delta = 2.*np.pi/(nlons-1)
-    lats = (0.5*np.pi-delta*np.indices((nlats,nlons))[0,:,:])
-    lons = (delta*np.indices((nlats,nlons))[1,:,:])
-    wave = 0.75*(np.sin(2.*lats)**8*np.cos(4.*lons))
-    mean = 0.5*np.cos(2.*lats)*((np.sin(2.*lats))**2 + 2.)
-    # compute native map projection coordinates of lat/lon grid.
-    # (convert lons and lats to degrees first)
-    x, y = map(lons*180./np.pi, lats*180./np.pi)
-    # draw map boundary
-    map.drawmapboundary(color="0.9")
-    # draw graticule (latitude and longitude grid lines)
-    map.drawmeridians(np.arange(0,360,30),color="0.9")
-    map.drawparallels(np.arange(-90,90,30),color="0.9")
-    # plot filled circles at the locations of the cities.
-    map.plot(xc,yc,'wo')
-    # plot the names of five cities.
-    for name,xpt,ypt in zip(cities,xc,yc):
-        plt.text(xpt+100000,ypt+100000,name,fontsize=9,color='w')
-    # contour data over the map.
-    cs = map.contour(x,y,wave+mean,15,linewidths=1.5)
-    # draw blue marble image in background.
-    # (downsample the image by 50% for speed)
-    map.bluemarble(scale=0.5)
-
-def plotempty():
-    # create figure
-    fig = plt.figure(figsize=(8,8))
-    fig.text(0.5, 0.5, "Sorry, could not import Basemap",
-                                horizontalalignment='center')
-
-if have_basemap:
-    plotmap()
-else:
-    plotempty()
-plt.show()
-
diff --git a/doc/pyplots/pyplot_annotate.py b/doc/pyplots/pyplot_annotate.py
deleted file mode 100644
index 88390ca7c07e..000000000000
--- a/doc/pyplots/pyplot_annotate.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-ax = plt.subplot(111)
-
-t = np.arange(0.0, 5.0, 0.01)
-s = np.cos(2*np.pi*t)
-line, = plt.plot(t, s, lw=2)
-
-plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            )
-
-plt.ylim(-2,2)
-plt.show()
diff --git a/doc/pyplots/pyplot_formatstr.py b/doc/pyplots/pyplot_formatstr.py
deleted file mode 100644
index b7a7786a602e..000000000000
--- a/doc/pyplots/pyplot_formatstr.py
+++ /dev/null
@@ -1,4 +0,0 @@
-import matplotlib.pyplot as plt
-plt.plot([1,2,3,4], [1,4,9,16], 'ro')
-plt.axis([0, 6, 0, 20])
-plt.show()
diff --git a/doc/pyplots/pyplot_mathtext.py b/doc/pyplots/pyplot_mathtext.py
deleted file mode 100644
index d90f5cbb381e..000000000000
--- a/doc/pyplots/pyplot_mathtext.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-t = np.arange(0.0, 2.0, 0.01)
-s = np.sin(2*np.pi*t)
-
-plt.plot(t,s)
-plt.title(r'$\alpha_i > \beta_i$', fontsize=20)
-plt.text(1, -0.6, r'$\sum_{i=0}^\infty x_i$', fontsize=20)
-plt.text(0.6, 0.6, r'$\mathcal{A}\mathrm{sin}(2 \omega t)$',
-         fontsize=20)
-plt.xlabel('time (s)')
-plt.ylabel('volts (mV)')
-plt.show()
diff --git a/doc/pyplots/pyplot_simple.py b/doc/pyplots/pyplot_simple.py
deleted file mode 100644
index 46b9f225a97e..000000000000
--- a/doc/pyplots/pyplot_simple.py
+++ /dev/null
@@ -1,4 +0,0 @@
-import matplotlib.pyplot as plt
-plt.plot([1,2,3,4])
-plt.ylabel('some numbers')
-plt.show()
diff --git a/doc/pyplots/pyplot_text.py b/doc/pyplots/pyplot_text.py
deleted file mode 100644
index 19aad305f06b..000000000000
--- a/doc/pyplots/pyplot_text.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-mu, sigma = 100, 15
-x = mu + sigma * np.random.randn(10000)
-
-# the histogram of the data
-n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)
-
-
-plt.xlabel('Smarts')
-plt.ylabel('Probability')
-plt.title('Histogram of IQ')
-plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
-plt.axis([40, 160, 0, 0.03])
-plt.grid(True)
-plt.show()
diff --git a/doc/pyplots/pyplot_three.py b/doc/pyplots/pyplot_three.py
deleted file mode 100644
index 2762d7cbd1d7..000000000000
--- a/doc/pyplots/pyplot_three.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-# evenly sampled time at 200ms intervals
-t = np.arange(0., 5., 0.2)
-
-# red dashes, blue squares and green triangles
-plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
-plt.show()
diff --git a/doc/pyplots/pyplot_two_subplots.py b/doc/pyplots/pyplot_two_subplots.py
deleted file mode 100644
index bfc6ebc121de..000000000000
--- a/doc/pyplots/pyplot_two_subplots.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-def f(t):
-    return np.exp(-t) * np.cos(2*np.pi*t)
-
-t1 = np.arange(0.0, 5.0, 0.1)
-t2 = np.arange(0.0, 5.0, 0.02)
-
-plt.figure(1)
-plt.subplot(211)
-plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
-
-plt.subplot(212)
-plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
-plt.show()
diff --git a/doc/pyplots/tex_demo.hires.png b/doc/pyplots/tex_demo.hires.png
deleted file mode 100644
index 61bb11881553..000000000000
Binary files a/doc/pyplots/tex_demo.hires.png and /dev/null differ
diff --git a/doc/pyplots/tex_demo.pdf b/doc/pyplots/tex_demo.pdf
deleted file mode 100644
index 4462d92c99a9..000000000000
Binary files a/doc/pyplots/tex_demo.pdf and /dev/null differ
diff --git a/doc/pyplots/tex_demo.py b/doc/pyplots/tex_demo.py
deleted file mode 100644
index a5288d749d86..000000000000
--- a/doc/pyplots/tex_demo.py
+++ /dev/null
@@ -1,35 +0,0 @@
-"""
-Demo of TeX rendering.
-
-You can use TeX to render all of your matplotlib text if the rc
-parameter text.usetex is set.  This works currently on the agg and ps
-backends, and requires that you have tex and the other dependencies
-described at http://matplotlib.sf.net/matplotlib.texmanager.html
-properly installed on your system.  The first time you run a script
-you will see a lot of output from tex and associated tools.  The next
-time, the run may be silent, as a lot of the information is cached in
-~/.tex.cache
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-# Example data
-t = np.arange(0.0, 1.0 + 0.01, 0.01)
-s = np.cos(4 * np.pi * t) + 2
-
-plt.rc('text', usetex=True)
-plt.rc('font', family='serif')
-plt.plot(t, s)
-
-plt.xlabel(r'\textbf{time} (s)')
-plt.ylabel(r'\textit{voltage} (mV)',fontsize=16)
-plt.title(r"\TeX\ is Number "
-          r"$\displaystyle\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}$!",
-          fontsize=16, color='gray')
-# Make room for the ridiculously large title.
-plt.subplots_adjust(top=0.8)
-
-plt.savefig('tex_demo')
-plt.show()
diff --git a/doc/pyplots/tex_unicode_demo.hires.png b/doc/pyplots/tex_unicode_demo.hires.png
deleted file mode 100644
index 52fc6b248bc6..000000000000
Binary files a/doc/pyplots/tex_unicode_demo.hires.png and /dev/null differ
diff --git a/doc/pyplots/tex_unicode_demo.pdf b/doc/pyplots/tex_unicode_demo.pdf
deleted file mode 100644
index c6e234d1d404..000000000000
Binary files a/doc/pyplots/tex_unicode_demo.pdf and /dev/null differ
diff --git a/doc/pyplots/tex_unicode_demo.png b/doc/pyplots/tex_unicode_demo.png
deleted file mode 100644
index db7e76dbebb3..000000000000
Binary files a/doc/pyplots/tex_unicode_demo.png and /dev/null differ
diff --git a/doc/pyplots/text_commands.py b/doc/pyplots/text_commands.py
deleted file mode 100644
index 93b2fcd80308..000000000000
--- a/doc/pyplots/text_commands.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')
-
-ax = fig.add_subplot(111)
-fig.subplots_adjust(top=0.85)
-ax.set_title('axes title')
-
-ax.set_xlabel('xlabel')
-ax.set_ylabel('ylabel')
-
-ax.text(3, 8, 'boxed italics text in data coords', style='italic',
-        bbox={'facecolor':'red', 'alpha':0.5, 'pad':10})
-
-ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)
-
-ax.text(3, 2, unicode('unicode: Institut f\374r Festk\366rperphysik', 'latin-1'))
-
-ax.text(0.95, 0.01, 'colored text in axes coords',
-        verticalalignment='bottom', horizontalalignment='right',
-        transform=ax.transAxes,
-        color='green', fontsize=15)
-
-
-ax.plot([2], [1], 'o')
-ax.annotate('annotate', xy=(2, 1), xytext=(3, 4),
-            arrowprops=dict(facecolor='black', shrink=0.05))
-
-ax.axis([0, 10, 0, 10])
-
-plt.show()
diff --git a/doc/pyplots/text_layout.py b/doc/pyplots/text_layout.py
deleted file mode 100644
index 860c20d22110..000000000000
--- a/doc/pyplots/text_layout.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-
-# build a rectangle in axes coords
-left, width = .25, .5
-bottom, height = .25, .5
-right = left + width
-top = bottom + height
-
-fig = plt.figure()
-ax = fig.add_axes([0,0,1,1])
-
-# axes coordinates are 0,0 is bottom left and 1,1 is upper right
-p = patches.Rectangle(
-    (left, bottom), width, height,
-    fill=False, transform=ax.transAxes, clip_on=False
-    )
-
-ax.add_patch(p)
-
-ax.text(left, bottom, 'left top',
-        horizontalalignment='left',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(left, bottom, 'left bottom',
-        horizontalalignment='left',
-        verticalalignment='bottom',
-        transform=ax.transAxes)
-
-ax.text(right, top, 'right bottom',
-        horizontalalignment='right',
-        verticalalignment='bottom',
-        transform=ax.transAxes)
-
-ax.text(right, top, 'right top',
-        horizontalalignment='right',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(right, bottom, 'center top',
-        horizontalalignment='center',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(left, 0.5*(bottom+top), 'right center',
-        horizontalalignment='right',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(left, 0.5*(bottom+top), 'left center',
-        horizontalalignment='left',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(0.5*(left+right), 0.5*(bottom+top), 'middle',
-        horizontalalignment='center',
-        verticalalignment='center',
-        fontsize=20, color='red',
-        transform=ax.transAxes)
-
-ax.text(right, 0.5*(bottom+top), 'centered',
-        horizontalalignment='center',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(left, top, 'rotated\nwith newlines',
-        horizontalalignment='center',
-        verticalalignment='center',
-        rotation=45,
-        transform=ax.transAxes)
-
-ax.set_axis_off()
-plt.show()
diff --git a/doc/pyplots/whats_new_1_subplot3d.py b/doc/pyplots/whats_new_1_subplot3d.py
deleted file mode 100644
index 379157b0c5e6..000000000000
--- a/doc/pyplots/whats_new_1_subplot3d.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from mpl_toolkits.mplot3d.axes3d import Axes3D
-from matplotlib import cm
-#from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-
-ax = fig.add_subplot(1, 2, 1, projection='3d')
-X = np.arange(-5, 5, 0.25)
-Y = np.arange(-5, 5, 0.25)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
-        linewidth=0, antialiased=False)
-ax.set_zlim3d(-1.01, 1.01)
-
-#ax.w_zaxis.set_major_locator(LinearLocator(10))
-#ax.w_zaxis.set_major_formatter(FormatStrFormatter('%.03f'))
-
-fig.colorbar(surf, shrink=0.5, aspect=5)
-
-from mpl_toolkits.mplot3d.axes3d import get_test_data
-ax = fig.add_subplot(1, 2, 2, projection='3d')
-X, Y, Z = get_test_data(0.05)
-ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
-
-plt.show()
-
diff --git a/doc/pyplots/whats_new_98_4_fancy.py b/doc/pyplots/whats_new_98_4_fancy.py
deleted file mode 100644
index dc6c1d4c9fb7..000000000000
--- a/doc/pyplots/whats_new_98_4_fancy.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import matplotlib.patches as mpatch
-import matplotlib.pyplot as plt
-
-figheight = 8
-fig = plt.figure(1, figsize=(9, figheight), dpi=80)
-fontsize = 0.4 * fig.dpi
-
-def make_boxstyles(ax):
-    styles = mpatch.BoxStyle.get_styles()
-
-    for i, (stylename, styleclass) in enumerate(styles.items()):
-        ax.text(0.5, (float(len(styles)) - 0.5 - i)/len(styles), stylename,
-                  ha="center",
-                  size=fontsize,
-                  transform=ax.transAxes,
-                  bbox=dict(boxstyle=stylename, fc="w", ec="k"))
-
-def make_arrowstyles(ax):
-    styles = mpatch.ArrowStyle.get_styles()
-
-    ax.set_xlim(0, 4)
-    ax.set_ylim(0, figheight)
-
-    for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
-        y = (float(len(styles)) -0.25 - i) # /figheight
-        p = mpatch.Circle((3.2, y), 0.2, fc="w")
-        ax.add_patch(p)
-
-        ax.annotate(stylename, (3.2, y),
-                    (2., y),
-                    #xycoords="figure fraction", textcoords="figure fraction",
-                    ha="right", va="center",
-                    size=fontsize,
-                    arrowprops=dict(arrowstyle=stylename,
-                                    patchB=p,
-                                    shrinkA=5,
-                                    shrinkB=5,
-                                    fc="w", ec="k",
-                                    connectionstyle="arc3,rad=-0.05",
-                                    ),
-                    bbox=dict(boxstyle="square", fc="w"))
-
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-
-ax1 = fig.add_subplot(121, frameon=False, xticks=[], yticks=[])
-make_boxstyles(ax1)
-
-ax2 = fig.add_subplot(122, frameon=False, xticks=[], yticks=[])
-make_arrowstyles(ax2)
-
-
-plt.show()
diff --git a/doc/pyplots/whats_new_98_4_fill_between.py b/doc/pyplots/whats_new_98_4_fill_between.py
deleted file mode 100644
index ea5f46d93dee..000000000000
--- a/doc/pyplots/whats_new_98_4_fill_between.py
+++ /dev/null
@@ -1,17 +0,0 @@
-#!/usr/bin/env python
-import matplotlib.mlab as mlab
-from pylab import figure, show
-import numpy as np
-
-x = np.arange(0.0, 2, 0.01)
-y1 = np.sin(2*np.pi*x)
-y2 = 1.2*np.sin(4*np.pi*x)
-
-fig = figure()
-ax = fig.add_subplot(111)
-ax.plot(x, y1, x, y2, color='black')
-ax.fill_between(x, y1, y2, where=y2>y1, facecolor='green')
-ax.fill_between(x, y1, y2, where=y2<=y1, facecolor='red')
-ax.set_title('fill between where')
-
-show()
diff --git a/doc/pyplots/whats_new_98_4_legend.py b/doc/pyplots/whats_new_98_4_legend.py
deleted file mode 100644
index 2a806126f3c0..000000000000
--- a/doc/pyplots/whats_new_98_4_legend.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-ax = plt.subplot(111)
-t1 = np.arange(0.0, 1.0, 0.01)
-for n in [1, 2, 3, 4]:
-    plt.plot(t1, t1**n, label="n=%d"%(n,))
-
-leg = plt.legend(loc='best', ncol=2, mode="expand", shadow=True, fancybox=True)
-leg.get_frame().set_alpha(0.5)
-
-
-plt.show()
-
-
-
diff --git a/doc/pyplots/whats_new_99_axes_grid.py b/doc/pyplots/whats_new_99_axes_grid.py
deleted file mode 100644
index e3cb7fa4217d..000000000000
--- a/doc/pyplots/whats_new_99_axes_grid.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.axes_rgb import RGBAxes
-
-def get_demo_image():
-    # prepare image
-    delta = 0.5
-
-    extent = (-3,4,-4,3)
-    x = np.arange(-3.0, 4.001, delta)
-    y = np.arange(-4.0, 3.001, delta)
-    X, Y = np.meshgrid(x, y)
-    import matplotlib.mlab as mlab
-    Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-    Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-    Z = (Z1 - Z2) * 10
-
-    return Z, extent
-
-
-
-def get_rgb():
-    Z, extent = get_demo_image()
-
-    Z[Z<0] = 0.
-    Z = Z/Z.max()
-
-    R = Z[:13,:13]
-    G = Z[2:,2:]
-    B = Z[:13,2:]
-
-    return R, G, B
-
-
-fig = plt.figure(1)
-ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
-
-r, g, b = get_rgb()
-kwargs = dict(origin="lower", interpolation="nearest")
-ax.imshow_rgb(r, g, b, **kwargs)
-
-ax.RGB.set_xlim(0., 9.5)
-ax.RGB.set_ylim(0.9, 10.6)
-
-
-plt.draw()
-plt.show()
diff --git a/doc/pyplots/whats_new_99_mplot3d.py b/doc/pyplots/whats_new_99_mplot3d.py
deleted file mode 100644
index d3e22c9b58e0..000000000000
--- a/doc/pyplots/whats_new_99_mplot3d.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cm
-import pylab
-import random
-import numpy as np
-
-fig = pylab.figure()
-ax = Axes3D(fig)
-X = np.arange(-5, 5, 0.25)
-Y = np.arange(-5, 5, 0.25)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet)
-
-pylab.show()
-
diff --git a/doc/pyplots/whats_new_99_spines.py b/doc/pyplots/whats_new_99_spines.py
deleted file mode 100644
index 1ee80a9e708e..000000000000
--- a/doc/pyplots/whats_new_99_spines.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.pyplot import show
-
-
-def adjust_spines(ax,spines):
-    for loc, spine in ax.spines.iteritems():
-        if loc in spines:
-            spine.set_position(('outward',10)) # outward by 10 points
-        else:
-            spine.set_color('none') # don't draw spine
-
-    # turn off ticks where there is no spine
-    if 'left' in spines:
-        ax.yaxis.set_ticks_position('left')
-    else:
-        # no yaxis ticks
-        ax.yaxis.set_ticks([])
-
-    if 'bottom' in spines:
-        ax.xaxis.set_ticks_position('bottom')
-    else:
-        # no xaxis ticks
-        ax.xaxis.set_ticks([])
-
-fig = plt.figure()
-
-x = np.linspace(0,2*np.pi,100)
-y = 2*np.sin(x)
-
-ax = fig.add_subplot(2,2,1)
-ax.plot(x,y)
-adjust_spines(ax,['left'])
-
-ax = fig.add_subplot(2,2,2)
-ax.plot(x,y)
-adjust_spines(ax,[])
-
-ax = fig.add_subplot(2,2,3)
-ax.plot(x,y)
-adjust_spines(ax,['left','bottom'])
-
-ax = fig.add_subplot(2,2,4)
-ax.plot(x,y)
-adjust_spines(ax,['bottom'])
-
-show()
diff --git a/doc/resources/index.rst b/doc/resources/index.rst
deleted file mode 100644
index 9d14e8fd63a5..000000000000
--- a/doc/resources/index.rst
+++ /dev/null
@@ -1,52 +0,0 @@
-.. _resources-index:
-
-*******************
- External Resources
-*******************
-
-
-===================
- Books and Chapters
-===================
-
-* `Matplotlib for Python Developers 
-  <http://www.packtpub.com/matplotlib-python-development/book?mid/171109cna1h>`_ 
-  by Sandro Tosi
-
-* `Matplotlib chapter <http://www.aosabook.org/en/matplotlib.html>`_ 
-  by John Hunter and Michael Droettboom in The Architecture of Open Source 
-  Applications
-
-* `Graphics with Matplotlib 
-  <http://physics.nmt.edu/~raymond/software/python_notes/paper004.html>`_ 
-  by David J. Raymond
-
-=======
- Videos
-=======
-
-* `Getting started with Matplotlib 
-  <http://showmedo.com/videotutorials/video?name=7200090&fromSeriesID=720>`_ 
-  by `unpingco <http://showmedo.com/videotutorials/?author=6237>`_
-
-* `Plotting with matplotlib <http://www.youtube.com/watch?v=P7SVi0YTIuE>`_ 
-  by Mike Müller 
-
-* `Introduction to NumPy and Matplotlib 
-  <http://www.youtube.com/watch?v=3Fp1zn5ao2M&feature=plcp>`_ by Eric Jones
-
-* `Anatomy of Matplotlib
-  <https://conference.scipy.org/scipy2013/tutorial_detail.php?id=103>`_
-  by Benjamin Root
-
-==========
- Tutorials
-==========
-
-* `Matplotlib tutorial <http://www.loria.fr/~rougier/teaching/matplotlib/>`_ 
-  by Nicolas P. Rougier
-
-* `Anatomy of Matplotlib - IPython Notebooks
-  <https://github.com/WeatherGod/AnatomyOfMatplotlib>`_
-  by Benjamin Root
-
diff --git a/doc/sphinxext/gallery_order.py b/doc/sphinxext/gallery_order.py
new file mode 100644
index 000000000000..99b90062a42a
--- /dev/null
+++ b/doc/sphinxext/gallery_order.py
@@ -0,0 +1,127 @@
+"""
+Configuration for the order of gallery sections and examples.
+Paths are relative to the conf.py file.
+"""
+
+from sphinx_gallery.sorting import ExplicitOrder
+
+# Gallery sections shall be displayed in the following order.
+# Non-matching sections are inserted at the unsorted position
+
+UNSORTED = "unsorted"
+
+examples_order = [
+    '../galleries/examples/lines_bars_and_markers',
+    '../galleries/examples/images_contours_and_fields',
+    '../galleries/examples/subplots_axes_and_figures',
+    '../galleries/examples/statistics',
+    '../galleries/examples/pie_and_polar_charts',
+    '../galleries/examples/text_labels_and_annotations',
+    '../galleries/examples/color',
+    '../galleries/examples/shapes_and_collections',
+    '../galleries/examples/style_sheets',
+    '../galleries/examples/pyplots',
+    '../galleries/examples/axes_grid1',
+    '../galleries/examples/axisartist',
+    '../galleries/examples/showcase',
+    UNSORTED,
+    '../galleries/examples/userdemo',
+]
+
+tutorials_order = [
+    '../galleries/tutorials/introductory',
+    '../galleries/tutorials/intermediate',
+    '../galleries/tutorials/advanced',
+    UNSORTED,
+    '../galleries/tutorials/provisional'
+]
+
+plot_types_order = [
+    '../galleries/plot_types/basic',
+    '../galleries/plot_types/stats',
+    '../galleries/plot_types/arrays',
+    '../galleries/plot_types/unstructured',
+    '../galleries/plot_types/3D',
+    UNSORTED
+]
+
+folder_lists = [examples_order, tutorials_order, plot_types_order]
+
+explicit_order_folders = [fd for folders in folder_lists
+                          for fd in folders[:folders.index(UNSORTED)]]
+explicit_order_folders.append(UNSORTED)
+explicit_order_folders.extend([fd for folders in folder_lists
+                               for fd in folders[folders.index(UNSORTED):]])
+
+
+class MplExplicitOrder(ExplicitOrder):
+    """For use within the 'subsection_order' key."""
+    def __call__(self, item):
+        """Return a string determining the sort order."""
+        if item in self.ordered_list:
+            return f"{self.ordered_list.index(item):04d}"
+        else:
+            return f"{self.ordered_list.index(UNSORTED):04d}{item}"
+
+# Subsection order:
+# Subsections are ordered by filename, unless they appear in the following
+# lists in which case the list order determines the order within the section.
+# Examples/tutorials that do not appear in a list will be appended.
+
+list_all = [
+    #  **Tutorials**
+    #  introductory
+    "quick_start", "pyplot", "images", "lifecycle", "customizing",
+    #  intermediate
+    "artists", "legend_guide", "color_cycle",
+    "constrainedlayout_guide", "tight_layout_guide",
+    #  advanced
+    #  text
+    "text_intro", "text_props",
+    #  colors
+    "colors",
+
+    #  **Examples**
+    #  color
+    "color_demo",
+    #  pies
+    "pie_features", "pie_demo2",
+    # scales
+    "scales",  # Scales overview
+
+    # **Plot Types
+    # Basic
+    "plot", "scatter_plot", "bar", "stem", "step", "fill_between",
+    # Arrays
+    "imshow", "pcolormesh", "contour", "contourf",
+    "barbs", "quiver", "streamplot",
+    # Stats
+    "hist_plot", "boxplot_plot", "errorbar_plot", "violin",
+    "eventplot", "hist2d", "hexbin", "pie",
+    # Unstructured
+    "tricontour", "tricontourf", "tripcolor", "triplot",
+    # Spines
+    "spines", "spine_placement_demo", "spines_dropped",
+    "multiple_yaxis_with_spines", "centered_spines_with_arrows",
+    ]
+explicit_subsection_order = [item + ".py" for item in list_all]
+
+
+class MplExplicitSubOrder(ExplicitOrder):
+    """For use within the 'within_subsection_order' key."""
+    def __init__(self, src_dir):
+        self.src_dir = src_dir  # src_dir is unused here
+        self.ordered_list = explicit_subsection_order
+
+    def __call__(self, item):
+        """Return a string determining the sort order."""
+        if item in self.ordered_list:
+            return f"{self.ordered_list.index(item):04d}"
+        else:
+            # ensure not explicitly listed items come last.
+            return "zzz" + item
+
+
+# Provide the above classes for use in conf.py
+sectionorder = MplExplicitOrder(explicit_order_folders)
+subsectionorder = MplExplicitSubOrder
diff --git a/doc/sphinxext/gen_gallery.py b/doc/sphinxext/gen_gallery.py
deleted file mode 100644
index 54cf342d1f71..000000000000
--- a/doc/sphinxext/gen_gallery.py
+++ /dev/null
@@ -1,170 +0,0 @@
-# -*- coding: UTF-8 -*-
-import os
-import re
-import glob
-import warnings
-
-import sphinx.errors
-
-import matplotlib.image as image
-
-
-exclude_example_sections = ['units']
-multiimage = re.compile('(.*?)(_\d\d){1,2}')
-
-# generate a thumbnail gallery of examples
-gallery_template = """\
-{{% extends "layout.html" %}}
-{{% set title = "Thumbnail gallery" %}}
-
-
-{{% block body %}}
-
-<h3>Click on any image to see full size image and source code</h3>
-<br/>
-
-<li><a class="reference internal" href="#">Gallery</a>
-    <ul>
-    {toc}
-    </ul>
-</li>
-
-{gallery}
-
-{{% endblock %}}
-"""
-
-header_template = """\
-<div class="section" id="{section}">
-<h4>
-    {title}<a class="headerlink" href="#{section}" title="Permalink to this headline">¶</a>
-</h4>"""
-
-link_template = """\
-<figure>
-  <a href="{link}"><img src="{thumb}" border="0" alt="{basename}"/></a><br>
-  <figcaption><a href="{link}">{title}</a></figcaption>
-</figure>
-"""
-
-toc_template = """\
-<li><a class="reference internal" href="#{section}">{title}</a></li>"""
-
-
-def make_thumbnail(args):
-    image.thumbnail(args[0], args[1], 0.3)
-
-
-def out_of_date(original, derived):
-    return (not os.path.exists(derived) or
-            os.stat(derived).st_mtime < os.stat(original).st_mtime)
-
-
-def gen_gallery(app, doctree):
-    if app.builder.name not in ('html', 'htmlhelp'):
-        return
-
-    outdir = app.builder.outdir
-    rootdir = 'plot_directive/mpl_examples'
-
-    example_sections = list(app.builder.config.mpl_example_sections)
-    for i, (subdir, title) in enumerate(example_sections):
-        if subdir in exclude_example_sections:
-            example_sections.pop(i)
-
-    # images we want to skip for the gallery because they are an unusual
-    # size that doesn't layout well in a table, or because they may be
-    # redundant with other images or uninteresting
-    skips = set([
-        'mathtext_examples',
-        'matshow_02',
-        'matshow_03',
-        'matplotlib_icon',
-        ])
-
-    thumbnails = {}
-    rows = []
-    toc_rows = []
-
-    for subdir, title in example_sections:
-        rows.append(header_template.format(title=title, section=subdir))
-        toc_rows.append(toc_template.format(title=title, section=subdir))
-
-        origdir = os.path.join('build', rootdir, subdir)
-        thumbdir = os.path.join(outdir, rootdir, subdir, 'thumbnails')
-        if not os.path.exists(thumbdir):
-            os.makedirs(thumbdir)
-
-        data = []
-
-        for filename in sorted(glob.glob(os.path.join(origdir, '*.png'))):
-            if filename.endswith("hires.png"):
-                continue
-
-            path, filename = os.path.split(filename)
-            basename, ext = os.path.splitext(filename)
-            if basename in skips:
-                continue
-
-            # Create thumbnails based on images in tmpdir, and place
-            # them within the build tree
-            orig_path = str(os.path.join(origdir, filename))
-            thumb_path = str(os.path.join(thumbdir, filename))
-            if out_of_date(orig_path, thumb_path) or True:
-                thumbnails[orig_path] = thumb_path
-
-            m = multiimage.match(basename)
-            if m is not None:
-                basename = m.group(1)
-
-            data.append((subdir, basename,
-                         os.path.join(rootdir, subdir, 'thumbnails', filename)))
-
-        for (subdir, basename, thumbfile) in data:
-            if thumbfile is not None:
-                link = 'examples/%s/%s.html'%(subdir, basename)
-                rows.append(link_template.format(link=link,
-                                                 thumb=thumbfile,
-                                                 basename=basename,
-                                                 title=basename))
-
-        if len(data) == 0:
-            warnings.warn("No thumbnails were found in %s" % subdir)
-
-        # Close out the <div> opened up at the top of this loop
-        rows.append("</div>")
-
-    content = gallery_template.format(toc='\n'.join(toc_rows),
-                                      gallery='\n'.join(rows))
-
-    # Only write out the file if the contents have actually changed.
-    # Otherwise, this triggers a full rebuild of the docs
-
-    gallery_path = os.path.join(app.builder.srcdir,
-                                '_templates', 'gallery.html')
-    if os.path.exists(gallery_path):
-        fh = open(gallery_path, 'r')
-        regenerate = fh.read() != content
-        fh.close()
-    else:
-        regenerate = True
-
-    if regenerate:
-        fh = open(gallery_path, 'w')
-        fh.write(content)
-        fh.close()
-
-    for key in app.builder.status_iterator(
-            iter(thumbnails.keys()), "generating thumbnails... ",
-            length=len(thumbnails)):
-        if out_of_date(key, thumbnails[key]):
-            image.thumbnail(key, thumbnails[key], 0.3)
-
-
-def setup(app):
-    app.connect('env-updated', gen_gallery)
-
-    try: # multiple plugins may use mpl_example_sections
-        app.add_config_value('mpl_example_sections', [], True)
-    except sphinx.errors.ExtensionError:
-        pass # mpl_example_sections already defined
diff --git a/doc/sphinxext/gen_rst.py b/doc/sphinxext/gen_rst.py
deleted file mode 100644
index 42598d2149f7..000000000000
--- a/doc/sphinxext/gen_rst.py
+++ /dev/null
@@ -1,171 +0,0 @@
-"""
-generate the rst files for the examples by iterating over the pylab examples
-"""
-from __future__ import print_function
-import io
-import os
-import re
-import sys
-
-import sphinx.errors
-
-
-exclude_example_sections = ['widgets']
-noplot_regex = re.compile(r"#\s*-\*-\s*noplot\s*-\*-")
-
-
-def out_of_date(original, derived):
-    """
-    Returns True if derivative is out-of-date wrt original,
-    both of which are full file paths.
-
-    TODO: this check isn't adequate in some cases.  e.g., if we discover
-    a bug when building the examples, the original and derived will be
-    unchanged but we still want to force a rebuild.
-    """
-    return (not os.path.exists(derived) or
-            os.stat(derived).st_mtime < os.stat(original).st_mtime)
-
-def generate_example_rst(app):
-    rootdir = os.path.join(app.builder.srcdir, 'mpl_examples')
-    exampledir = os.path.join(app.builder.srcdir, 'examples')
-    if not os.path.exists(exampledir):
-        os.makedirs(exampledir)
-
-    example_sections = list(app.builder.config.mpl_example_sections)
-    for i, (subdir, title) in enumerate(example_sections):
-        if subdir in exclude_example_sections:
-            example_sections.pop(i)
-    example_subdirs, titles = zip(*example_sections)
-
-    datad = {}
-    for root, subFolders, files in os.walk(rootdir):
-        for fname in files:
-            if ( fname.startswith('.') or fname.startswith('#')
-                 or fname.startswith('_') or not fname.endswith('.py') ):
-                continue
-
-            fullpath = os.path.join(root,fname)
-            contents = io.open(fullpath, encoding='utf8').read()
-            # indent
-            relpath = os.path.split(root)[-1]
-            datad.setdefault(relpath, []).append((fullpath, fname, contents))
-
-    subdirs = list(datad.keys())
-    subdirs.sort()
-
-    fhindex = open(os.path.join(exampledir, 'index.rst'), 'w')
-    fhindex.write("""\
-.. _examples-index:
-
-####################
-Matplotlib Examples
-####################
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-.. toctree::
-    :maxdepth: 2
-
-""")
-
-    for subdir in subdirs:
-        rstdir = os.path.join(exampledir, subdir)
-        if not os.path.exists(rstdir):
-            os.makedirs(rstdir)
-
-        outputdir = os.path.join(app.builder.outdir, 'examples')
-        if not os.path.exists(outputdir):
-            os.makedirs(outputdir)
-
-        outputdir = os.path.join(outputdir, subdir)
-        if not os.path.exists(outputdir):
-            os.makedirs(outputdir)
-
-        subdirIndexFile = os.path.join(rstdir, 'index.rst')
-        fhsubdirIndex = open(subdirIndexFile, 'w')
-        fhindex.write('    %s/index.rst\n\n'%subdir)
-
-        fhsubdirIndex.write("""\
-.. _%s-examples-index:
-
-##############################################
-%s Examples
-##############################################
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-.. toctree::
-    :maxdepth: 1
-
-"""%(subdir, subdir))
-
-        sys.stdout.write(subdir + ", ")
-        sys.stdout.flush()
-
-        data = datad[subdir]
-        data.sort()
-
-        for fullpath, fname, contents in data:
-            basename, ext = os.path.splitext(fname)
-            outputfile = os.path.join(outputdir, fname)
-            #thumbfile = os.path.join(thumb_dir, '%s.png'%basename)
-            #print '    static_dir=%s, basename=%s, fullpath=%s, fname=%s, thumb_dir=%s, thumbfile=%s'%(static_dir, basename, fullpath, fname, thumb_dir, thumbfile)
-
-            rstfile = '%s.rst'%basename
-            outrstfile = os.path.join(rstdir, rstfile)
-
-            # XXX: We might consider putting extra metadata in the example
-            # files to include a title. If so, this line is where we would add
-            # this information.
-            fhsubdirIndex.write('    %s <%s>\n'%(os.path.basename(basename),rstfile))
-
-            do_plot = (subdir in example_subdirs
-                       and not noplot_regex.search(contents))
-            if not do_plot:
-                fhstatic = io.open(outputfile, 'w', encoding='utf-8')
-                fhstatic.write(contents)
-                fhstatic.close()
-
-            if not out_of_date(fullpath, outrstfile):
-                continue
-
-            fh = io.open(outrstfile, 'w', encoding='utf-8')
-            fh.write(u'.. _%s-%s:\n\n' % (subdir, basename))
-            title = '%s example code: %s'%(subdir, fname)
-            #title = '<img src=%s> %s example code: %s'%(thumbfile, subdir, fname)
-
-            fh.write(title + u'\n')
-            fh.write(u'=' * len(title) + u'\n\n')
-
-            if do_plot:
-                fh.write(u"\n\n.. plot:: %s\n\n::\n\n" % fullpath)
-            else:
-                fh.write(u"[`source code <%s>`_]\n\n::\n\n" % fname)
-
-            # indent the contents
-            contents = u'\n'.join([u'    %s'%row.rstrip() for row in contents.split(u'\n')])
-            fh.write(contents)
-
-            fh.write(u'\n\nKeywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)')
-            fh.close()
-
-        fhsubdirIndex.close()
-
-    fhindex.close()
-
-    print()
-
-def setup(app):
-    app.connect('builder-inited', generate_example_rst)
-
-    try: # multiple plugins may use mpl_example_sections
-        app.add_config_value('mpl_example_sections', [], True)
-    except sphinx.errors.ExtensionError:
-        pass # mpl_example_sections already defined
diff --git a/doc/sphinxext/github.py b/doc/sphinxext/github.py
index 519e146d198f..0a96ac185f86 100644
--- a/doc/sphinxext/github.py
+++ b/doc/sphinxext/github.py
@@ -1,4 +1,5 @@
-"""Define text roles for GitHub
+"""
+Define text roles for GitHub.
 
 * ghissue - Issue
 * ghpull - Pull Request
@@ -20,8 +21,10 @@
 from docutils import nodes, utils
 from docutils.parsers.rst.roles import set_classes
 
+
 def make_link_node(rawtext, app, type, slug, options):
-    """Create a link to a github resource.
+    """
+    Create a link to a github resource.
 
     :param rawtext: Text being replaced with link node.
     :param app: Sphinx application context
@@ -37,7 +40,9 @@ def make_link_node(rawtext, app, type, slug, options):
         if not base.endswith('/'):
             base += '/'
     except AttributeError as err:
-        raise ValueError('github_project_url configuration value is not set (%s)' % str(err))
+        raise ValueError(
+            f'github_project_url configuration value is not set '
+            f'({err})') from err
 
     ref = base + type + '/' + slug + '/'
     set_classes(options)
@@ -48,8 +53,10 @@ def make_link_node(rawtext, app, type, slug, options):
                            **options)
     return node
 
+
 def ghissue_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
-    """Link to a GitHub issue.
+    """
+    Link to a GitHub issue.
 
     Returns 2 part tuple containing list of nodes to insert into the
     document and a list of system messages.  Both are allowed to be
@@ -75,7 +82,6 @@ def ghissue_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
         prb = inliner.problematic(rawtext, rawtext, msg)
         return [prb], [msg]
     app = inliner.document.settings.env.app
-    #app.info('issue %r' % text)
     if 'pull' in name.lower():
         category = 'pull'
     elif 'issue' in name.lower():
@@ -89,8 +95,10 @@ def ghissue_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
     node = make_link_node(rawtext, app, category, str(issue_num), options)
     return [node], []
 
+
 def ghuser_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
-    """Link to a GitHub user.
+    """
+    Link to a GitHub user.
 
     Returns 2 part tuple containing list of nodes to insert into the
     document and a list of system messages.  Both are allowed to be
@@ -104,14 +112,15 @@ def ghuser_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
     :param options: Directive options for customization.
     :param content: The directive content for customization.
     """
-    app = inliner.document.settings.env.app
-    #app.info('user link %r' % text)
     ref = 'https://www.github.com/' + text
     node = nodes.reference(rawtext, text, refuri=ref, **options)
     return [node], []
 
-def ghcommit_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
-    """Link to a GitHub commit.
+
+def ghcommit_role(
+        name, rawtext, text, lineno, inliner, options={}, content=[]):
+    """
+    Link to a GitHub commit.
 
     Returns 2 part tuple containing list of nodes to insert into the
     document and a list of system messages.  Both are allowed to be
@@ -126,7 +135,6 @@ def ghcommit_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
     :param content: The directive content for customization.
     """
     app = inliner.document.settings.env.app
-    #app.info('user link %r' % text)
     try:
         base = app.config.github_project_url
         if not base:
@@ -134,7 +142,9 @@ def ghcommit_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
         if not base.endswith('/'):
             base += '/'
     except AttributeError as err:
-        raise ValueError('github_project_url configuration value is not set (%s)' % str(err))
+        raise ValueError(
+            f'github_project_url configuration value is not set '
+            f'({err})') from err
 
     ref = base + text
     node = nodes.reference(rawtext, text[:6], refuri=ref, **options)
@@ -142,14 +152,16 @@ def ghcommit_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
 
 
 def setup(app):
-    """Install the plugin.
-    
+    """
+    Install the plugin.
+
     :param app: Sphinx application context.
     """
-    app.info('Initializing GitHub plugin')
     app.add_role('ghissue', ghissue_role)
     app.add_role('ghpull', ghissue_role)
     app.add_role('ghuser', ghuser_role)
     app.add_role('ghcommit', ghcommit_role)
     app.add_config_value('github_project_url', None, 'env')
-    return
+
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True}
+    return metadata
diff --git a/doc/sphinxext/math_symbol_table.py b/doc/sphinxext/math_symbol_table.py
index 339d43c6f38a..a143326ab75b 100644
--- a/doc/sphinxext/math_symbol_table.py
+++ b/doc/sphinxext/math_symbol_table.py
@@ -1,160 +1,152 @@
-from __future__ import print_function
+import re
+from docutils.parsers.rst import Directive
+
+from matplotlib import _mathtext, _mathtext_data
+
+bb_pattern = re.compile("Bbb[A-Z]")
+scr_pattern = re.compile("scr[a-zA-Z]")
+frak_pattern = re.compile("frak[A-Z]")
+
 symbols = [
     ["Lower-case Greek",
-     5,
-     r"""\alpha \beta \gamma \chi \delta \epsilon \eta \iota \kappa
-         \lambda \mu \nu \omega \phi \pi \psi \rho \sigma \tau \theta
-         \upsilon \xi \zeta \digamma \varepsilon \varkappa \varphi
-         \varpi \varrho \varsigma \vartheta"""],
+     4,
+     (r"\alpha", r"\beta", r"\gamma",  r"\chi", r"\delta", r"\epsilon",
+      r"\eta", r"\iota",  r"\kappa", r"\lambda", r"\mu", r"\nu",  r"\omega",
+      r"\phi",  r"\pi", r"\psi", r"\rho",  r"\sigma",  r"\tau", r"\theta",
+      r"\upsilon", r"\xi", r"\zeta",  r"\digamma", r"\varepsilon", r"\varkappa",
+      r"\varphi", r"\varpi", r"\varrho", r"\varsigma",  r"\vartheta")],
     ["Upper-case Greek",
-     6,
-     r"""\Delta \Gamma \Lambda \Omega \Phi \Pi \Psi \Sigma \Theta
-     \Upsilon \Xi \mho \nabla"""],
-    ["Hebrew",
      4,
-     r"""\aleph \beth \daleth \gimel"""],
-    ["Delimiters",
+     (r"\Delta", r"\Gamma", r"\Lambda", r"\Omega", r"\Phi", r"\Pi", r"\Psi",
+      r"\Sigma", r"\Theta", r"\Upsilon", r"\Xi")],
+    ["Hebrew",
+     6,
+     (r"\aleph", r"\beth", r"\gimel", r"\daleth")],
+    ["Latin named characters",
      6,
-     r"""| \{ \lfloor / \Uparrow \llcorner \vert \} \rfloor \backslash
-         \uparrow \lrcorner \| \langle \lceil [ \Downarrow \ulcorner
-         \Vert \rangle \rceil ] \downarrow \urcorner"""],
+     r"""\aa \AA \ae \AE \oe \OE \O \o \thorn \Thorn \ss \eth \dh \DH""".split()],
+    ["Delimiters",
+     5,
+     _mathtext.Parser._delims],
     ["Big symbols",
      5,
-     r"""\bigcap \bigcup \bigodot \bigoplus \bigotimes \biguplus
-         \bigvee \bigwedge \coprod \oint \prod \sum \int"""],
+     _mathtext.Parser._overunder_symbols | _mathtext.Parser._dropsub_symbols],
     ["Standard function names",
+     5,
+     {fr"\{fn}" for fn in _mathtext.Parser._function_names}],
+    ["Binary operation symbols",
+     4,
+     _mathtext.Parser._binary_operators],
+    ["Relation symbols",
      4,
-     r"""\arccos \csc \ker \min \arcsin \deg \lg \Pr \arctan \det \lim
-         \gcd \ln \sup \cot \hom \log \tan \coth \inf \max \tanh
-         \sec \arg \dim \liminf \sin \cos \exp \limsup \sinh \cosh"""],
-    ["Binary operation and relation symbols",
-     3,
-     r"""\ast \pm \slash \cap \star \mp \cup \cdot \uplus
-     \triangleleft \circ \odot \sqcap \triangleright \bullet \ominus
-     \sqcup \bigcirc \oplus \wedge \diamond \oslash \vee
-     \bigtriangledown \times \otimes \dag \bigtriangleup \div \wr
-     \ddag \barwedge \veebar \boxplus \curlywedge \curlyvee \boxminus
-     \Cap \Cup \boxtimes \bot \top \dotplus \boxdot \intercal
-     \rightthreetimes \divideontimes \leftthreetimes \equiv \leq \geq
-     \perp \cong \prec \succ \mid \neq \preceq \succeq \parallel \sim
-     \ll \gg \bowtie \simeq \subset \supset \Join \approx \subseteq
-     \supseteq \ltimes \asymp \sqsubset \sqsupset \rtimes \doteq
-     \sqsubseteq \sqsupseteq \smile \propto \dashv \vdash \frown
-     \models \in \ni \notin \approxeq \leqq \geqq \lessgtr \leqslant
-     \geqslant \lesseqgtr \backsim \lessapprox \gtrapprox \lesseqqgtr
-     \backsimeq \lll \ggg \gtreqqless \triangleq \lessdot \gtrdot
-     \gtreqless \circeq \lesssim \gtrsim \gtrless \bumpeq \eqslantless
-     \eqslantgtr \backepsilon \Bumpeq \precsim \succsim \between
-     \doteqdot \precapprox \succapprox \pitchfork \Subset \Supset
-     \fallingdotseq \subseteqq \supseteqq \risingdotseq \sqsubset
-     \sqsupset \varpropto \preccurlyeq \succcurlyeq \Vdash \therefore
-     \curlyeqprec \curlyeqsucc \vDash \because \blacktriangleleft
-     \blacktriangleright \Vvdash \eqcirc \trianglelefteq
-     \trianglerighteq \neq \vartriangleleft \vartriangleright \ncong
-     \nleq \ngeq \nsubseteq \nmid \nsupseteq \nparallel \nless \ngtr
-     \nprec \nsucc \subsetneq \nsim \supsetneq \nVDash \precnapprox
-     \succnapprox \subsetneqq \nvDash \precnsim \succnsim \supsetneqq
-     \nvdash \lnapprox \gnapprox \ntriangleleft \ntrianglelefteq
-     \lneqq \gneqq \ntriangleright \lnsim \gnsim \ntrianglerighteq
-     \coloneq \eqsim \nequiv \napprox \nsupset \doublebarwedge \nVdash
-     \Doteq \nsubset \eqcolon \ne
-     """],
+     _mathtext.Parser._relation_symbols],
     ["Arrow symbols",
-     2,
-     r"""\leftarrow \longleftarrow \uparrow \Leftarrow \Longleftarrow
-     \Uparrow \rightarrow \longrightarrow \downarrow \Rightarrow
-     \Longrightarrow \Downarrow \leftrightarrow \updownarrow
-     \longleftrightarrow \updownarrow \Leftrightarrow
-     \Longleftrightarrow \Updownarrow \mapsto \longmapsto \nearrow
-     \hookleftarrow \hookrightarrow \searrow \leftharpoonup
-     \rightharpoonup \swarrow \leftharpoondown \rightharpoondown
-     \nwarrow \rightleftharpoons \leadsto \dashrightarrow
-     \dashleftarrow \leftleftarrows \leftrightarrows \Lleftarrow
-     \Rrightarrow \twoheadleftarrow \leftarrowtail \looparrowleft
-     \leftrightharpoons \curvearrowleft \circlearrowleft \Lsh
-     \upuparrows \upharpoonleft \downharpoonleft \multimap
-     \leftrightsquigarrow \rightrightarrows \rightleftarrows
-     \rightrightarrows \rightleftarrows \twoheadrightarrow
-     \rightarrowtail \looparrowright \rightleftharpoons
-     \curvearrowright \circlearrowright \Rsh \downdownarrows
-     \upharpoonright \downharpoonright \rightsquigarrow \nleftarrow
-     \nrightarrow \nLeftarrow \nRightarrow \nleftrightarrow
-     \nLeftrightarrow \to \Swarrow \Searrow \Nwarrow \Nearrow
-     \leftsquigarrow
-     """],
+     4,
+     _mathtext.Parser._arrow_symbols],
+    ["Dot symbols",
+     4,
+     r"""\cdots \vdots \ldots \ddots \adots \Colon \therefore \because""".split()],
+    ["Black-board characters",
+     6,
+     [fr"\{symbol}" for symbol in _mathtext_data.tex2uni
+      if re.match(bb_pattern, symbol)]],
+    ["Script characters",
+     6,
+     [fr"\{symbol}" for symbol in _mathtext_data.tex2uni
+      if re.match(scr_pattern, symbol)]],
+    ["Fraktur characters",
+     6,
+     [fr"\{symbol}" for symbol in _mathtext_data.tex2uni
+      if re.match(frak_pattern, symbol)]],
     ["Miscellaneous symbols",
-     3,
+     4,
      r"""\neg \infty \forall \wp \exists \bigstar \angle \partial
-     \nexists \measuredangle \eth \emptyset \sphericalangle \clubsuit
+     \nexists \measuredangle \emptyset \sphericalangle \clubsuit
      \varnothing \complement \diamondsuit \imath \Finv \triangledown
-     \heartsuit \jmath \Game \spadesuit \ell \hbar \vartriangle \cdots
-     \hslash \vdots \blacksquare \ldots \blacktriangle \ddots \sharp
+     \heartsuit \jmath \Game \spadesuit \ell \hbar \vartriangle
+     \hslash \blacksquare \blacktriangle \sharp \increment
      \prime \blacktriangledown \Im \flat \backprime \Re \natural
-     \circledS \P \copyright \ss \circledR \S \yen \AA \checkmark \$
-     \iiint \iint \iint \oiiint"""]
+     \circledS \P \copyright \circledR \S \yen \checkmark \$
+     \cent \triangle \QED \sinewave \dag \ddag \perthousand \ac
+     \lambdabar \L \l \degree \danger \maltese \clubsuitopen
+     \i \hermitmatrix \sterling \nabla \mho""".split()],
 ]
 
+
 def run(state_machine):
-    def get_n(n, l):
-        part = []
-        for x in l:
-            part.append(x)
-            if len(part) == n:
-                yield part
-                part = []
-        yield part
+
+    def render_symbol(sym, ignore_variant=False):
+        if ignore_variant and sym not in (r"\varnothing", r"\varlrtriangle"):
+            sym = sym.replace(r"\var", "\\")
+        if sym.startswith("\\"):
+            sym = sym.lstrip("\\")
+            if sym not in (_mathtext.Parser._overunder_functions |
+                           _mathtext.Parser._function_names):
+                sym = chr(_mathtext_data.tex2uni[sym])
+        return f'\\{sym}' if sym in ('\\', '|', '+', '-', '*') else sym
 
     lines = []
     for category, columns, syms in symbols:
-        syms = syms.split()
-        syms.sort()
+        syms = sorted(syms,
+                      # Sort by Unicode and place variants immediately
+                      # after standard versions.
+                      key=lambda sym: (render_symbol(sym, ignore_variant=True),
+                                       sym.startswith(r"\var")),
+                      reverse=(category == "Hebrew"))  # Hebrew is rtl
+        rendered_syms = [f"{render_symbol(sym)} ``{sym}``" for sym in syms]
+        columns = min(columns, len(syms))
         lines.append("**%s**" % category)
         lines.append('')
-        max_width = 0
-        for sym in syms:
-            max_width = max(max_width, len(sym))
-        max_width = max_width * 2 + 16
-        header = "    " + (('=' * max_width) + ' ') * columns
-        format = '%%%ds' % max_width
-        for chunk in get_n(20, get_n(columns, syms)):
-            lines.append(header)
-            for part in chunk:
-                line = []
-                for sym in part:
-                    line.append(format % (":math:`%s` ``%s``" % (sym, sym)))
-                lines.append("    " + " ".join(line))
-            lines.append(header)
-            lines.append('')
+        max_width = max(map(len, rendered_syms))
+        header = (('=' * max_width) + ' ') * columns
+        lines.append(header.rstrip())
+        for part in range(0, len(rendered_syms), columns):
+            row = " ".join(
+                sym.rjust(max_width) for sym in rendered_syms[part:part + columns])
+            lines.append(row)
+        lines.append(header.rstrip())
+        lines.append('')
 
     state_machine.insert_input(lines, "Symbol table")
     return []
 
-def math_symbol_table_directive(name, arguments, options, content, lineno,
-                                content_offset, block_text, state, state_machine):
-    return run(state_machine)
+
+class MathSymbolTableDirective(Directive):
+    has_content = False
+    required_arguments = 0
+    optional_arguments = 0
+    final_argument_whitespace = False
+    option_spec = {}
+
+    def run(self):
+        return run(self.state_machine)
+
 
 def setup(app):
-    app.add_directive(
-        'math_symbol_table', math_symbol_table_directive,
-        False, (0, 1, 0))
+    app.add_directive("math_symbol_table", MathSymbolTableDirective)
+
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True}
+    return metadata
+
 
 if __name__ == "__main__":
     # Do some verification of the tables
-    from matplotlib import _mathtext_data
 
     print("SYMBOLS NOT IN STIX:")
     all_symbols = {}
     for category, columns, syms in symbols:
         if category == "Standard Function Names":
             continue
-        syms = syms.split()
         for sym in syms:
             if len(sym) > 1:
                 all_symbols[sym[1:]] = None
                 if sym[1:] not in _mathtext_data.tex2uni:
                     print(sym)
 
+    # Add accents
+    all_symbols.update({v[1:]: k for k, v in _mathtext.Parser._accent_map.items()})
+    all_symbols.update({v: v for v in _mathtext.Parser._wide_accents})
     print("SYMBOLS NOT IN TABLE:")
-    for sym in _mathtext_data.tex2uni:
+    for sym, val in _mathtext_data.tex2uni.items():
         if sym not in all_symbols:
-            print(sym)
+            print(f"{sym} = {chr(val)}")
diff --git a/doc/sphinxext/missing_references.py b/doc/sphinxext/missing_references.py
new file mode 100644
index 000000000000..87432bc524b4
--- /dev/null
+++ b/doc/sphinxext/missing_references.py
@@ -0,0 +1,232 @@
+"""
+This is a sphinx extension to freeze your broken reference problems
+when using ``nitpicky = True``.
+
+The basic operation is:
+
+1. Add this extension to your ``conf.py`` extensions.
+2. Add ``missing_references_write_json = True`` to your ``conf.py``
+3. Run sphinx-build. It will generate ``missing-references.json``
+    next to your ``conf.py``.
+4. Remove ``missing_references_write_json = True`` from your
+    ``conf.py`` (or set it to ``False``)
+5. Run sphinx-build again, and ``nitpick_ignore`` will
+    contain all of the previously failed references.
+
+"""
+
+from collections import defaultdict
+import json
+from pathlib import Path
+
+from docutils.utils import get_source_line
+from sphinx.util import logging as sphinx_logging
+
+import matplotlib
+
+logger = sphinx_logging.getLogger(__name__)
+
+
+def get_location(node, app):
+    """
+    Given a docutils node and a sphinx application, return a string
+    representation of the source location of this node.
+
+    Usually, this will be of the form "path/to/file:linenumber". Two
+    special values can be emitted, "<external>" for paths which are
+    not contained in this source tree (e.g. docstrings included from
+    other modules) or "<unknown>", indicating that the sphinx application
+    cannot locate the original source file (usually because an extension
+    has injected text into the sphinx parsing engine).
+    """
+    source, line = get_source_line(node)
+
+    if source:
+        # 'source' can have the form '/some/path:docstring of some.api' but the
+        # colons are forbidden on windows, but on posix just passes through.
+        if ':docstring of' in source:
+            path, *post = source.rpartition(':docstring of')
+            post = ''.join(post)
+        else:
+            path = source
+            post = ''
+        # We locate references relative to the parent of the doc
+        # directory, which for matplotlib, will be the root of the
+        # matplotlib repo. When matplotlib is not an editable install
+        # weird things will happen, but we can't totally recover from
+        # that.
+        basepath = Path(app.srcdir).parent.resolve()
+
+        fullpath = Path(path).resolve()
+
+        try:
+            path = fullpath.relative_to(basepath)
+        except ValueError:
+            # Sometimes docs directly contain e.g. docstrings
+            # from installed modules, and we record those as
+            # <external> so as to be independent of where the
+            # module was installed
+            path = Path("<external>") / fullpath.name
+
+        # Ensure that all reported paths are POSIX so that docs
+        # on windows result in the same warnings in the JSON file.
+        path = path.as_posix()
+
+    else:
+        path = "<unknown>"
+        post = ''
+    if not line:
+        line = ""
+
+    return f"{path}{post}:{line}"
+
+
+def _truncate_location(location):
+    """
+    Cuts off anything after the first colon in location strings.
+
+    This allows for easy comparison even when line numbers change
+    (as they do regularly).
+    """
+    return location.split(":", 1)[0]
+
+
+def handle_missing_reference(app, domain, node):
+    """
+    Handle the warn-missing-reference Sphinx event.
+
+    This function will:
+
+    #. record missing references for saving/comparing with ignored list.
+    #. prevent Sphinx from raising a warning on ignored references.
+    """
+    refdomain = node["refdomain"]
+    reftype = node["reftype"]
+    target = node["reftarget"]
+    location = get_location(node, app)
+    domain_type = f"{refdomain}:{reftype}"
+
+    app.env.missing_references_events[(domain_type, target)].add(location)
+
+    # If we're ignoring this event, return True so that Sphinx thinks we handled it,
+    # even though we didn't print or warn. If we aren't ignoring it, Sphinx will print a
+    # warning about the missing reference.
+    if location in app.env.missing_references_ignored_references.get(
+            (domain_type, target), []):
+        return True
+
+
+def warn_unused_missing_references(app, exc):
+    """
+    Check that all lines of the existing JSON file are still necessary.
+    """
+    # We can only warn if we are building from a source install
+    # otherwise, we just have to skip this step.
+    basepath = Path(matplotlib.__file__).parent.parent.parent.resolve()
+    srcpath = Path(app.srcdir).parent.resolve()
+
+    if basepath != srcpath:
+        return
+
+    # This is a dictionary of {(domain_type, target): locations}
+    references_ignored = app.env.missing_references_ignored_references
+    references_events = app.env.missing_references_events
+
+    # Warn about any reference which is no longer missing.
+    for (domain_type, target), locations in references_ignored.items():
+        missing_reference_locations = [
+            _truncate_location(location)
+            for location in references_events.get((domain_type, target), [])]
+
+        # For each ignored reference location, ensure a missing reference
+        # was observed. If it wasn't observed, issue a warning.
+        for ignored_reference_location in locations:
+            short_location = _truncate_location(ignored_reference_location)
+            if short_location not in missing_reference_locations:
+                msg = (f"Reference {domain_type} {target} for "
+                       f"{ignored_reference_location} can be removed"
+                       f" from {app.config.missing_references_filename}."
+                        " It is no longer a missing reference in the docs.")
+                logger.warning(msg,
+                               location=ignored_reference_location,
+                               type='ref',
+                               subtype=domain_type)
+
+
+def save_missing_references(app, exc):
+    """
+    Write a new JSON file containing missing references.
+    """
+    json_path = Path(app.confdir) / app.config.missing_references_filename
+    references_warnings = app.env.missing_references_events
+    _write_missing_references_json(references_warnings, json_path)
+
+
+def _write_missing_references_json(records, json_path):
+    """
+    Convert ignored references to a format which we can write as JSON
+
+    Convert from ``{(domain_type, target): locations}`` to
+    ``{domain_type: {target: locations}}`` since JSON can't serialize tuples.
+    """
+    # Sorting records and keys avoids needlessly big diffs when
+    # missing_references.json is regenerated.
+    transformed_records = defaultdict(dict)
+    for (domain_type, target), paths in records.items():
+        transformed_records[domain_type][target] = sorted(paths)
+    with json_path.open("w") as stream:
+        json.dump(transformed_records, stream, sort_keys=True, indent=2)
+        stream.write("\n")  # Silence pre-commit no-newline-at-end-of-file warning.
+
+
+def _read_missing_references_json(json_path):
+    """
+    Convert from the JSON file to the form used internally by this
+    extension.
+
+    The JSON file is stored as ``{domain_type: {target: [locations,]}}``
+    since JSON can't store dictionary keys which are tuples. We convert
+    this back to ``{(domain_type, target):[locations]}`` for internal use.
+
+    """
+    with json_path.open("r") as stream:
+        data = json.load(stream)
+
+    ignored_references = {}
+    for domain_type, targets in data.items():
+        for target, locations in targets.items():
+            ignored_references[(domain_type, target)] = locations
+    return ignored_references
+
+
+def prepare_missing_references_setup(app):
+    """
+    Initialize this extension once the configuration is ready.
+    """
+    if not app.config.missing_references_enabled:
+        # no-op when we are disabled.
+        return
+
+    app.connect("warn-missing-reference", handle_missing_reference)
+    if app.config.missing_references_warn_unused_ignores:
+        app.connect("build-finished", warn_unused_missing_references)
+    if app.config.missing_references_write_json:
+        app.connect("build-finished", save_missing_references)
+
+    json_path = Path(app.confdir) / app.config.missing_references_filename
+    app.env.missing_references_ignored_references = (
+        _read_missing_references_json(json_path) if json_path.exists() else {}
+    )
+    app.env.missing_references_events = defaultdict(set)
+
+
+def setup(app):
+    app.add_config_value("missing_references_enabled", True, "env")
+    app.add_config_value("missing_references_write_json", False, "env")
+    app.add_config_value("missing_references_warn_unused_ignores", True, "env")
+    app.add_config_value("missing_references_filename",
+                         "missing-references.json", "env")
+
+    app.connect("builder-inited", prepare_missing_references_setup)
+
+    return {'parallel_read_safe': True}
diff --git a/doc/sphinxext/mock_gui_toolkits.py b/doc/sphinxext/mock_gui_toolkits.py
new file mode 100644
index 000000000000..a3eee4dea61a
--- /dev/null
+++ b/doc/sphinxext/mock_gui_toolkits.py
@@ -0,0 +1,13 @@
+import sys
+from unittest.mock import MagicMock
+
+
+class MyCairoCffi(MagicMock):
+    __name__ = "cairocffi"
+
+
+def setup(app):
+    sys.modules.update(
+        cairocffi=MyCairoCffi(),
+    )
+    return {'parallel_read_safe': True, 'parallel_write_safe': True}
diff --git a/doc/sphinxext/redirect_from.py b/doc/sphinxext/redirect_from.py
new file mode 100644
index 000000000000..37b56373a3bf
--- /dev/null
+++ b/doc/sphinxext/redirect_from.py
@@ -0,0 +1,127 @@
+"""
+Redirecting old docs to new location
+====================================
+
+If an rst file is moved or its content subsumed in a different file, it
+is desirable to redirect the old file to the new or existing file. This
+extension enables this with a simple html refresh.
+
+For example suppose ``doc/topic/old-page.rst`` is removed and its content
+included in ``doc/topic/new-page.rst``.  We use the ``redirect-from``
+directive in ``doc/topic/new-page.rst``::
+
+    .. redirect-from:: /topic/old-page
+
+This creates in the build directory a file ``build/html/topic/old-page.html``
+that contains a relative refresh::
+
+    <!DOCTYPE html>
+    <html>
+      <head>
+        <meta charset="utf-8">
+        <meta http-equiv="refresh" content="0; url=new-page.html">
+      </head>
+    </html>
+
+If you need to redirect across subdirectory trees, that works as well.  For
+instance if ``doc/topic/subdir1/old-page.rst`` is now found at
+``doc/topic/subdir2/new-page.rst`` then ``new-page.rst`` just lists the
+full path::
+
+    .. redirect-from:: /topic/subdir1/old-page.rst
+
+"""
+
+from pathlib import Path
+from sphinx.util.docutils import SphinxDirective
+from sphinx.domains import Domain
+from sphinx.util import logging
+
+logger = logging.getLogger(__name__)
+
+
+HTML_TEMPLATE = """<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8">
+    <meta http-equiv="refresh" content="0; url={v}">
+  </head>
+</html>
+"""
+
+
+def setup(app):
+    app.add_directive("redirect-from", RedirectFrom)
+    app.add_domain(RedirectFromDomain)
+    app.connect("builder-inited", _clear_redirects)
+    app.connect("build-finished", _generate_redirects)
+
+    metadata = {'parallel_read_safe': True}
+    return metadata
+
+
+class RedirectFromDomain(Domain):
+    """
+    The sole purpose of this domain is a parallel_read_safe data store for the
+    redirects mapping.
+    """
+    name = 'redirect_from'
+    label = 'redirect_from'
+
+    @property
+    def redirects(self):
+        """The mapping of the redirects."""
+        return self.data.setdefault('redirects', {})
+
+    def clear_doc(self, docname):
+        self.redirects.pop(docname, None)
+
+    def merge_domaindata(self, docnames, otherdata):
+        for src, dst in otherdata['redirects'].items():
+            if src not in self.redirects:
+                self.redirects[src] = dst
+            elif self.redirects[src] != dst:
+                raise ValueError(
+                    f"Inconsistent redirections from {src} to "
+                    f"{self.redirects[src]} and {otherdata['redirects'][src]}")
+
+
+class RedirectFrom(SphinxDirective):
+    required_arguments = 1
+
+    def run(self):
+        redirected_doc, = self.arguments
+        domain = self.env.get_domain('redirect_from')
+        current_doc = self.env.path2doc(self.state.document.current_source)
+        redirected_reldoc, _ = self.env.relfn2path(redirected_doc, current_doc)
+        if redirected_reldoc in domain.redirects:
+            raise ValueError(
+                f"{redirected_reldoc} is already noted as redirecting to "
+                f"{domain.redirects[redirected_reldoc]}")
+        domain.redirects[redirected_reldoc] = current_doc
+        return []
+
+
+def _generate_redirects(app, exception):
+    builder = app.builder
+    if builder.name != "html" or exception:
+        return
+    for k, v in app.env.get_domain('redirect_from').redirects.items():
+        p = Path(app.outdir, k + builder.out_suffix)
+        html = HTML_TEMPLATE.format(v=builder.get_relative_uri(k, v))
+        if p.is_file():
+            if p.read_text() != html:
+                logger.warning('A redirect-from directive is trying to '
+                               'create %s, but that file already exists '
+                               '(perhaps you need to run "make clean")', p)
+        else:
+            logger.info('making refresh html file: %s redirect to %s', k, v)
+            p.parent.mkdir(parents=True, exist_ok=True)
+            p.write_text(html, encoding='utf-8')
+
+
+def _clear_redirects(app):
+    domain = app.env.get_domain('redirect_from')
+    if domain.redirects:
+        logger.info('clearing cached redirects')
+        domain.redirects.clear()
diff --git a/doc/sphinxext/skip_deprecated.py b/doc/sphinxext/skip_deprecated.py
new file mode 100644
index 000000000000..d4ef795e9ab1
--- /dev/null
+++ b/doc/sphinxext/skip_deprecated.py
@@ -0,0 +1,17 @@
+# Skip deprecated members
+
+
+def skip_deprecated(app, what, name, obj, skip, options):
+    if skip:
+        return skip
+    skipped = {"matplotlib.colors": ["ColorConverter", "hex2color", "rgb2hex"]}
+    skip_list = skipped.get(getattr(obj, "__module__", None))
+    if skip_list is not None:
+        return getattr(obj, "__name__", None) in skip_list
+
+
+def setup(app):
+    app.connect('autodoc-skip-member', skip_deprecated)
+
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True}
+    return metadata
diff --git a/doc/sphinxext/util.py b/doc/sphinxext/util.py
new file mode 100644
index 000000000000..14097ba9396a
--- /dev/null
+++ b/doc/sphinxext/util.py
@@ -0,0 +1,21 @@
+import sys
+
+
+def matplotlib_reduced_latex_scraper(block, block_vars, gallery_conf,
+                                     **kwargs):
+    """
+    Reduce srcset when creating a PDF.
+
+    Because sphinx-gallery runs *very* early, we cannot modify this even in the
+    earliest builder-inited signal. Thus we do it at scraping time.
+    """
+    from sphinx_gallery.scrapers import matplotlib_scraper
+
+    if gallery_conf['builder_name'] == 'latex':
+        gallery_conf['image_srcset'] = []
+    return matplotlib_scraper(block, block_vars, gallery_conf, **kwargs)
+
+
+# Clear basic_units module to re-register with unit registry on import.
+def clear_basic_units(gallery_conf, fname):
+    return sys.modules.pop('basic_units', None)
diff --git a/doc/thirdpartypackages/index.rst b/doc/thirdpartypackages/index.rst
new file mode 100644
index 000000000000..81dc4d710a52
--- /dev/null
+++ b/doc/thirdpartypackages/index.rst
@@ -0,0 +1,5 @@
+:orphan:
+
+.. raw:: html
+
+  <meta http-equiv="refresh" content="0; url=https://matplotlib.org/mpl-third-party/">
diff --git a/doc/users/annotations_guide.rst b/doc/users/annotations_guide.rst
deleted file mode 100644
index 70ef8c42fdaf..000000000000
--- a/doc/users/annotations_guide.rst
+++ /dev/null
@@ -1,419 +0,0 @@
-.. _plotting-guide-annotation:
-
-****************
-Annotating Axes
-****************
-
-Do not proceed unless you already have read :ref:`annotations-tutorial`,
-:func:`~matplotlib.pyplot.text` and
-:func:`~matplotlib.pyplot.annotate`!
-
-
-
-
-Annotating with Text with Box
-=============================
-
-Let's start with a simple example.
-
-.. plot:: users/plotting/examples/annotate_text_arrow.py
-
-
-The :func:`~matplotlib.pyplot.text` function in the pyplot module (or
-text method of the Axes class) takes bbox keyword argument, and when
-given, a box around the text is drawn. ::
-
-    bbox_props = dict(boxstyle="rarrow,pad=0.3", fc="cyan", ec="b", lw=2)
-    t = ax.text(0, 0, "Direction", ha="center", va="center", rotation=45,
-                size=15,
-                bbox=bbox_props)
-
-
-The patch object associated with the text can be accessed by::
-
-    bb = t.get_bbox_patch()
-
-The return value is an instance of FancyBboxPatch and the patch
-properties like facecolor, edgewidth, etc. can be accessed and
-modified as usual. To change the shape of the box, use *set_boxstyle*
-method. ::
-
-  bb.set_boxstyle("rarrow", pad=0.6)
-
-The arguments are the name of the box style with its attributes as
-keyword arguments. Currently, following box styles are implemented.
-
-  ==========   ==============   ==========================
-  Class        Name             Attrs
-  ==========   ==============   ==========================
-  Circle       ``circle``       pad=0.3
-  DArrow       ``darrow``       pad=0.3
-  LArrow       ``larrow``       pad=0.3
-  RArrow       ``rarrow``       pad=0.3
-  Round        ``round``        pad=0.3,rounding_size=None
-  Round4       ``round4``       pad=0.3,rounding_size=None
-  Roundtooth   ``roundtooth``   pad=0.3,tooth_size=None
-  Sawtooth     ``sawtooth``     pad=0.3,tooth_size=None
-  Square       ``square``       pad=0.3
-  ==========   ==============   ==========================
-
-.. plot:: mpl_examples/pylab_examples/fancybox_demo2.py
-
-
-Note that the attributes arguments can be specified within the style
-name with separating comma (this form can be used as "boxstyle" value
-of bbox argument when initializing the text instance) ::
-
-   bb.set_boxstyle("rarrow,pad=0.6")
-
-
-
-
-Annotating with Arrow
-=====================
-
-The :func:`~matplotlib.pyplot.annotate` function in the pyplot module
-(or annotate method of the Axes class) is used to draw an arrow
-connecting two points on the plot. ::
-
-    ax.annotate("Annotation",
-                xy=(x1, y1), xycoords='data',
-                xytext=(x2, y2), textcoords='offset points',
-                )
-
-This annotates a point at ``xy`` in the given coordinate (``xycoords``)
-with the text at ``xytext`` given in ``textcoords``. Often, the
-annotated point is specified in the *data* coordinate and the annotating
-text in *offset points*.
-See :func:`~matplotlib.pyplot.annotate` for available coordinate systems.
-
-An arrow connecting two point (xy & xytext) can be optionally drawn by
-specifying the ``arrowprops`` argument. To draw only an arrow, use
-empty string as the first argument. ::
-
-    ax.annotate("",
-                xy=(0.2, 0.2), xycoords='data',
-                xytext=(0.8, 0.8), textcoords='data',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="arc3"),
-                )
-
-.. plot:: users/plotting/examples/annotate_simple01.py
-
-The arrow drawing takes a few steps.
-
-1. a connecting path between two points are created. This is
-   controlled by ``connectionstyle`` key value.
-
-2. If patch object is given (*patchA* & *patchB*), the path is clipped to
-   avoid the patch.
-
-3. The path is further shrunk by given amount of pixels (*shirnkA*
-   & *shrinkB*)
-
-4. The path is transmuted to arrow patch, which is controlled by the
-   ``arrowstyle`` key value.
-
-
-.. plot:: users/plotting/examples/annotate_explain.py
-
-
-The creation of the connecting path between two points is controlled by
-``connectionstyle`` key and following styles are available.
-
-   ==========   =============================================
-   Name         Attrs
-   ==========   =============================================
-   ``angle``    angleA=90,angleB=0,rad=0.0
-   ``angle3``   angleA=90,angleB=0
-   ``arc``      angleA=0,angleB=0,armA=None,armB=None,rad=0.0
-   ``arc3``     rad=0.0
-   ``bar``      armA=0.0,armB=0.0,fraction=0.3,angle=None
-   ==========   =============================================
-
-Note that "3" in ``angle3`` and ``arc3`` is meant to indicate that the
-resulting path is a quadratic spline segment (three control
-points). As will be discussed below, some arrow style option only can
-be used when the connecting path is a quadratic spline.
-
-The behavior of each connection style is (limitedly) demonstrated in the
-example below. (Warning : The behavior of the ``bar`` style is currently not
-well defined, it may be changed in the future).
-
-.. plot:: users/plotting/examples/connectionstyle_demo.py
-
-
-The connecting path (after clipping and shrinking) is then mutated to
-an arrow patch, according to the given ``arrowstyle``.
-
-    ==========   =============================================
-    Name         Attrs
-    ==========   =============================================
-    ``-``        None
-    ``->``       head_length=0.4,head_width=0.2
-    ``-[``       widthB=1.0,lengthB=0.2,angleB=None
-    ``|-|``      widthA=1.0,widthB=1.0
-    ``-|>``      head_length=0.4,head_width=0.2
-    ``<-``       head_length=0.4,head_width=0.2
-    ``<->``      head_length=0.4,head_width=0.2
-    ``<|-``      head_length=0.4,head_width=0.2
-    ``<|-|>``    head_length=0.4,head_width=0.2
-    ``fancy``    head_length=0.4,head_width=0.4,tail_width=0.4
-    ``simple``   head_length=0.5,head_width=0.5,tail_width=0.2
-    ``wedge``    tail_width=0.3,shrink_factor=0.5
-    ==========   =============================================
-
-.. plot:: mpl_examples/pylab_examples/fancyarrow_demo.py
-
-Some arrowstyles only work with connection style that generates a
-quadratic-spline segment. They are ``fancy``, ``simple``, and ``wedge``.
-For these arrow styles, you must use "angle3" or "arc3" connection
-style.
-
-If the annotation string is given, the patchA is set to the bbox patch
-of the text by default.
-
-.. plot:: users/plotting/examples/annotate_simple02.py
-
-As in the text command, a box around the text can be drawn using
-the ``bbox`` argument.
-
-.. plot:: users/plotting/examples/annotate_simple03.py
-
-By default, the starting point is set to the center of the text
-extent.  This can be adjusted with ``relpos`` key value. The values
-are normalized to the extent of the text. For example, (0,0) means
-lower-left corner and (1,1) means top-right.
-
-.. plot:: users/plotting/examples/annotate_simple04.py
-
-
-Placing Artist at the anchored location of the Axes
-===================================================
-
-There are class of artist that can be placed at the anchored location
-of the Axes. A common example is the legend.  This type of artists can
-be created by using the OffsetBox class. A few predefined classes are
-available in ``mpl_toolkits.axes_grid.anchored_artists``. ::
-
-    from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
-    at = AnchoredText("Figure 1a",
-                      prop=dict(size=8), frameon=True,
-                      loc=2,
-                      )
-    at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
-    ax.add_artist(at)
-
-
-.. plot:: users/plotting/examples/anchored_box01.py
-
-
-The *loc* keyword has same meaning as in the legend command.
-
-A simple application is when the size of the artist (or collection of
-artists) is known in pixel size during the time of creation. For
-example, If you want to draw a circle with fixed size of 20 pixel x 20
-pixel (radius = 10 pixel), you can utilize
-``AnchoredDrawingArea``. The instance is created with a size of the
-drawing area (in pixel). And user can add arbitrary artist to the
-drawing area. Note that the extents of the artists that are added to
-the drawing area has nothing to do with the placement of the drawing
-area itself. The initial size only matters. ::
-
-    from mpl_toolkits.axes_grid.anchored_artists import AnchoredDrawingArea
-
-    ada = AnchoredDrawingArea(20, 20, 0, 0,
-                              loc=1, pad=0., frameon=False)
-    p1 = Circle((10, 10), 10)
-    ada.drawing_area.add_artist(p1)
-    p2 = Circle((30, 10), 5, fc="r")
-    ada.drawing_area.add_artist(p2)
-
-The artists that are added to the drawing area should not have
-transform set (they will be overridden) and the dimension of those
-artists are interpreted as a pixel coordinate, i.e., the radius of the
-circles in above example are 10 pixel and 5 pixel, respectively.
-
-.. plot:: users/plotting/examples/anchored_box02.py
-
-Sometimes, you want to your artists scale with data coordinate (or
-other coordinate than canvas pixel). You can use
-``AnchoredAuxTransformBox`` class. This is similar to
-``AnchoredDrawingArea`` except that the extent of the artist is
-determined during the drawing time respecting the specified transform. ::
-
-  from mpl_toolkits.axes_grid.anchored_artists import AnchoredAuxTransformBox
-
-  box = AnchoredAuxTransformBox(ax.transData, loc=2)
-  el = Ellipse((0,0), width=0.1, height=0.4, angle=30) # in data coordinates!
-  box.drawing_area.add_artist(el)
-
-The ellipse in the above example will have width and height
-corresponds to 0.1 and 0.4 in data coordinate and will be
-automatically scaled when the view limits of the axes change.
-
-.. plot:: users/plotting/examples/anchored_box03.py
-
-As in the legend, the bbox_to_anchor argument can be set.  Using the
-HPacker and VPacker, you can have an arrangement(?) of artist as in the
-legend (as a matter of fact, this is how the legend is created).
-
-.. plot:: users/plotting/examples/anchored_box04.py
-
-Note that unlike the legend, the ``bbox_transform`` is set
-to IdentityTransform by default.
-
-Using Complex Coordinate with Annotation
-========================================
-
-The Annotation in matplotlib support several types of coordinate as
-described in :ref:`annotations-tutorial`. For an advanced user who wants
-more control, it supports a few other options.
-
- 1. :class:`~matplotlib.transforms.Transform` instance. For example, ::
-
-      ax.annotate("Test", xy=(0.5, 0.5), xycoords=ax.transAxes)
-
-    is identical to ::
-
-      ax.annotate("Test", xy=(0.5, 0.5), xycoords="axes fraction")
-
-    With this, you can annotate a point in other axes. ::
-
-      ax1, ax2 = subplot(121), subplot(122)
-      ax2.annotate("Test", xy=(0.5, 0.5), xycoords=ax1.transData,
-                   xytext=(0.5, 0.5), textcoords=ax2.transData,
-                   arrowprops=dict(arrowstyle="->"))
-
- 2. :class:`~matplotlib.artist.Artist` instance. The xy value (or
-    xytext) is interpreted as a fractional coordinate of the bbox
-    (return value of *get_window_extent*) of the artist. ::
-
-      an1 = ax.annotate("Test 1", xy=(0.5, 0.5), xycoords="data",
-                        va="center", ha="center",
-                        bbox=dict(boxstyle="round", fc="w"))
-      an2 = ax.annotate("Test 2", xy=(1, 0.5), xycoords=an1, # (1,0.5) of the an1's bbox
-                        xytext=(30,0), textcoords="offset points",
-                        va="center", ha="left",
-                        bbox=dict(boxstyle="round", fc="w"),
-                        arrowprops=dict(arrowstyle="->"))
-
-    .. plot:: users/plotting/examples/annotate_simple_coord01.py
-
-    Note that it is your responsibility that the extent of the
-    coordinate artist (*an1* in above example) is determined before *an2*
-    gets drawn. In most cases, it means that an2 needs to be drawn
-    later than *an1*.
-
-
- 3. A callable object that returns an instance of either
-    :class:`~matplotlib.transforms.BboxBase` or
-    :class:`~matplotlib.transforms.Transform`. If a transform is
-    returned, it is same as 1 and if bbox is returned, it is same
-    as 2.  The callable object should take a single argument of
-    renderer instance. For example, following two commands give
-    identical results ::
-
-      an2 = ax.annotate("Test 2", xy=(1, 0.5), xycoords=an1,
-                        xytext=(30,0), textcoords="offset points")
-      an2 = ax.annotate("Test 2", xy=(1, 0.5), xycoords=an1.get_window_extent,
-                        xytext=(30,0), textcoords="offset points")
-
-
- 4. A tuple of two coordinate specification. The first item is for
-    x-coordinate and the second is for y-coordinate. For example, ::
-
-      annotate("Test", xy=(0.5, 1), xycoords=("data", "axes fraction"))
-
-    0.5 is in data coordinate, and 1 is in normalized axes coordinate.
-    You may use an artist or transform as with a tuple. For example,
-
-    .. plot:: users/plotting/examples/annotate_simple_coord02.py
-       :include-source:
-
-
- 5. Sometimes, you want your annotation with some "offset points", but
-    not from the annotated point but from other
-    point. :class:`~matplotlib.text.OffsetFrom` is a helper class for such
-    case.
-
-    .. plot:: users/plotting/examples/annotate_simple_coord03.py
-      :include-source:
-
-    You may take a look at this example :ref:`pylab_examples-annotation_demo3`.
-
-Using ConnectorPatch
-====================
-
-The ConnectorPatch is like an annotation without a text.  While the
-annotate function is recommended in most of situation, the
-ConnectorPatch is useful when you want to connect points in different
-axes. ::
-
-  from matplotlib.patches import ConnectionPatch
-  xy = (0.2, 0.2)
-  con = ConnectionPatch(xyA=xy, xyB=xy, coordsA="data", coordsB="data",
-                        axesA=ax1, axesB=ax2)
-  ax2.add_artist(con)
-
-The above code connects point xy in data coordinate of ``ax1`` to
-point xy int data coordinate of ``ax2``. Here is a simple example.
-
-.. plot:: users/plotting/examples/connect_simple01.py
-
-
-While the ConnectorPatch instance can be added to any axes, but you
-may want it to be added to the axes in the latter (?) of the axes
-drawing order to prevent overlap (?) by other axes.
-
-
-
-
-Advanced Topics
-***************
-
-Zoom effect between Axes
-========================
-
-mpl_toolkits.axes_grid.inset_locator defines some patch classes useful
-for interconnect two axes. Understanding the code requires some
-knowledge of how mpl's transform works. But, utilizing it will be
-straight forward.
-
-
-.. plot:: mpl_examples/pylab_examples/axes_zoom_effect.py
-
-
-Define Custom BoxStyle
-======================
-
-You can use a custom box style. The value for the ``boxstyle`` can be a
-callable object in following forms.::
-
-        def __call__(self, x0, y0, width, height, mutation_size,
-                     aspect_ratio=1.):
-            """
-            Given the location and size of the box, return the path of
-            the box around it.
-
-              - *x0*, *y0*, *width*, *height* : location and size of the box
-              - *mutation_size* : a reference scale for the mutation.
-              - *aspect_ratio* : aspect-ration for the mutation.
-            """
-            path = ...
-	    return path
-
-Here is a complete example.
-
-.. plot:: users/plotting/examples/custom_boxstyle01.py
-
-However, it is recommended that you derive from the
-matplotlib.patches.BoxStyle._Base as demonstrated below.
-
-.. plot:: users/plotting/examples/custom_boxstyle02.py
-   :include-source:
-
-
-Similarly, you can define custom ConnectionStyle and custom ArrowStyle.
-See the source code of ``lib/matplotlib/patches.py`` and check
-how each style class is defined.
diff --git a/doc/users/annotations_intro.rst b/doc/users/annotations_intro.rst
deleted file mode 100644
index 0b83e1523b3e..000000000000
--- a/doc/users/annotations_intro.rst
+++ /dev/null
@@ -1,87 +0,0 @@
-.. _annotations-tutorial:
-
-Annotating text
-===============
-
-For a more detailed introduction to annotations, see
-:ref:`plotting-guide-annotation`.
-
-The uses of the basic :func:`~matplotlib.pyplot.text` command above
-place text at an arbitrary position on the Axes.  A common use case of
-text is to annotate some feature of the plot, and the
-:func:`~matplotlib.Axes.annotate` method provides helper functionality
-to make annotations easy.  In an annotation, there are two points to
-consider: the location being annotated represented by the argument
-``xy`` and the location of the text ``xytext``.  Both of these
-arguments are ``(x,y)`` tuples.
-
-.. plot:: pyplots/annotation_basic.py
-   :include-source:
-
-
-In this example, both the ``xy`` (arrow tip) and ``xytext`` locations
-(text location) are in data coordinates.  There are a variety of other
-coordinate systems one can choose -- you can specify the coordinate
-system of ``xy`` and ``xytext`` with one of the following strings for
-``xycoords`` and ``textcoords`` (default is 'data')
-
-====================  ====================================================
-argument              coordinate system
-====================  ====================================================
-  'figure points'     points from the lower left corner of the figure
-  'figure pixels'     pixels from the lower left corner of the figure
-  'figure fraction'   0,0 is lower left of figure and 1,1 is upper right
-  'axes points'       points from lower left corner of axes
-  'axes pixels'       pixels from lower left corner of axes
-  'axes fraction'     0,0 is lower left of axes and 1,1 is upper right
-  'data'              use the axes data coordinate system
-====================  ====================================================
-
-For example to place the text coordinates in fractional axes
-coordinates, one could do::
-
-    ax.annotate('local max', xy=(3, 1),  xycoords='data',
-                xytext=(0.8, 0.95), textcoords='axes fraction',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='right', verticalalignment='top',
-                )
-
-For physical coordinate systems (points or pixels) the origin is the
-(bottom, left) of the figure or axes.  If the value is negative,
-however, the origin is from the (right, top) of the figure or axes,
-analogous to negative indexing of sequences.
-
-Optionally, you can specify arrow properties which draws an arrow
-from the text to the annotated point by giving a dictionary of arrow
-properties in the optional keyword argument ``arrowprops``.
-
-
-==================== =====================================================
-``arrowprops`` key   description
-==================== =====================================================
-width                the width of the arrow in points
-frac                 the fraction of the arrow length occupied by the head
-headwidth            the width of the base of the arrow head in points
-shrink               move the tip and base some percent away from
-                     the annotated point and text
-
-\*\*kwargs           any key for :class:`matplotlib.patches.Polygon`,
-                     e.g., ``facecolor``
-==================== =====================================================
-
-
-In the example below, the ``xy`` point is in native coordinates
-(``xycoords`` defaults to 'data').  For a polar axes, this is in
-(theta, radius) space.  The text in this example is placed in the
-fractional figure coordinate system. :class:`matplotlib.text.Text`
-keyword args like ``horizontalalignment``, ``verticalalignment`` and
-``fontsize are passed from the `~matplotlib.Axes.annotate` to the
-``Text`` instance
-
-.. plot:: pyplots/annotation_polar.py
-   :include-source:
-
-For more on all the wild and wonderful things you can do with
-annotations, including fancy arrows, see :ref:`plotting-guide-annotation`
-and :ref:`pylab_examples-annotation_demo`.
-
diff --git a/doc/users/artists.rst b/doc/users/artists.rst
deleted file mode 100644
index ab42616bf871..000000000000
--- a/doc/users/artists.rst
+++ /dev/null
@@ -1,638 +0,0 @@
-.. _artist-tutorial:
-
-***************
-Artist tutorial
-***************
-
-There are three layers to the matplotlib API.  The
-:class:`matplotlib.backend_bases.FigureCanvas` is the area onto which
-the figure is drawn, the :class:`matplotlib.backend_bases.Renderer` is
-the object which knows how to draw on the
-:class:`~matplotlib.backend_bases.FigureCanvas`, and the
-:class:`matplotlib.artist.Artist` is the object that knows how to use
-a renderer to paint onto the canvas.  The
-:class:`~matplotlib.backend_bases.FigureCanvas` and
-:class:`~matplotlib.backend_bases.Renderer` handle all the details of
-talking to user interface toolkits like `wxPython
-<http://www.wxpython.org>`_ or drawing languages like PostScript®, and
-the ``Artist`` handles all the high level constructs like representing
-and laying out the figure, text, and lines.  The typical user will
-spend 95% of his time working with the ``Artists``.
-
-There are two types of ``Artists``: primitives and containers.  The primitives
-represent the standard graphical objects we want to paint onto our canvas:
-:class:`~matplotlib.lines.Line2D`, :class:`~matplotlib.patches.Rectangle`,
-:class:`~matplotlib.text.Text`, :class:`~matplotlib.image.AxesImage`, etc., and
-the containers are places to put them (:class:`~matplotlib.axis.Axis`,
-:class:`~matplotlib.axes.Axes` and :class:`~matplotlib.figure.Figure`).  The
-standard use is to create a :class:`~matplotlib.figure.Figure` instance, use
-the ``Figure`` to create one or more :class:`~matplotlib.axes.Axes` or
-:class:`~matplotlib.axes.Subplot` instances, and use the ``Axes`` instance
-helper methods to create the primitives.  In the example below, we create a
-``Figure`` instance using :func:`matplotlib.pyplot.figure`, which is a
-convenience method for instantiating ``Figure`` instances and connecting them
-with your user interface or drawing toolkit ``FigureCanvas``.  As we will
-discuss below, this is not necessary -- you can work directly with PostScript,
-PDF Gtk+, or wxPython ``FigureCanvas`` instances, instantiate your ``Figures``
-directly and connect them yourselves -- but since we are focusing here on the
-``Artist`` API we'll let :mod:`~matplotlib.pyplot` handle some of those details
-for us::
-
-    import matplotlib.pyplot as plt
-    fig = plt.figure()
-    ax = fig.add_subplot(2,1,1) # two rows, one column, first plot
-
-The :class:`~matplotlib.axes.Axes` is probably the most important
-class in the matplotlib API, and the one you will be working with most
-of the time.  This is because the ``Axes`` is the plotting area into
-which most of the objects go, and the ``Axes`` has many special helper
-methods (:meth:`~matplotlib.axes.Axes.plot`,
-:meth:`~matplotlib.axes.Axes.text`,
-:meth:`~matplotlib.axes.Axes.hist`,
-:meth:`~matplotlib.axes.Axes.imshow`) to create the most common
-graphics primitives (:class:`~matplotlib.lines.Line2D`,
-:class:`~matplotlib.text.Text`,
-:class:`~matplotlib.patches.Rectangle`,
-:class:`~matplotlib.image.Image`, respectively).  These helper methods
-will take your data (e.g., ``numpy`` arrays and strings) and create
-primitive ``Artist`` instances as needed (e.g., ``Line2D``), add them to
-the relevant containers, and draw them when requested.  Most of you
-are probably familiar with the :class:`~matplotlib.axes.Subplot`,
-which is just a special case of an ``Axes`` that lives on a regular
-rows by columns grid of ``Subplot`` instances.  If you want to create
-an ``Axes`` at an arbitrary location, simply use the
-:meth:`~matplotlib.figure.Figure.add_axes` method which takes a list
-of ``[left, bottom, width, height]`` values in 0-1 relative figure
-coordinates::
-
-    fig2 = plt.figure()
-    ax2 = fig2.add_axes([0.15, 0.1, 0.7, 0.3])
-
-Continuing with our example::
-
-    import numpy as np
-    t = np.arange(0.0, 1.0, 0.01)
-    s = np.sin(2*np.pi*t)
-    line, = ax.plot(t, s, color='blue', lw=2)
-
-In this example, ``ax`` is the ``Axes`` instance created by the
-``fig.add_subplot`` call above (remember ``Subplot`` is just a
-subclass of ``Axes``) and when you call ``ax.plot``, it creates a
-``Line2D`` instance and adds it to the :attr:`Axes.lines
-<matplotlib.axes.Axes.lines>` list.  In the interactive `ipython
-<http://ipython.org/>`_ session below, you can see that the
-``Axes.lines`` list is length one and contains the same line that was
-returned by the ``line, = ax.plot...`` call:
-
-.. sourcecode:: ipython
-
-    In [101]: ax.lines[0]
-    Out[101]: <matplotlib.lines.Line2D instance at 0x19a95710>
-
-    In [102]: line
-    Out[102]: <matplotlib.lines.Line2D instance at 0x19a95710>
-
-If you make subsequent calls to ``ax.plot`` (and the hold state is "on"
-which is the default) then additional lines will be added to the list.
-You can remove lines later simply by calling the list methods; either
-of these will work::
-
-    del ax.lines[0]
-    ax.lines.remove(line)  # one or the other, not both!
-
-The Axes also has helper methods to configure and decorate the x-axis
-and y-axis tick, tick labels and axis labels::
-
-    xtext = ax.set_xlabel('my xdata') # returns a Text instance
-    ytext = ax.set_ylabel('my xdata')
-
-When you call :meth:`ax.set_xlabel <matplotlib.axes.Axes.set_xlabel>`,
-it passes the information on the :class:`~matplotlib.text.Text`
-instance of the :class:`~matplotlib.axis.XAxis`.  Each ``Axes``
-instance contains an :class:`~matplotlib.axis.XAxis` and a
-:class:`~matplotlib.axis.YAxis` instance, which handle the layout and
-drawing of the ticks, tick labels and axis labels.
-
-.. I'm commenting this out, since the new Sphinx cross-references
-.. sort of take care of this above - MGD
-
-.. Here are the most important matplotlib modules that contain the
-.. classes referenced above
-
-.. ===============   ==================
-.. Artist            Module
-.. ===============   ==================
-.. Artist            matplotlib.artist
-.. Rectangle         matplotlib.patches
-.. Line2D            matplotlib.lines
-.. Axes              matplotlib.axes
-.. XAxis and YAxis   matplotlib.axis
-.. Figure            matplotlib.figure
-.. Text	          matplotlib.text
-.. ===============   ==================
-
-Try creating the figure below.
-
-.. plot:: pyplots/fig_axes_labels_simple.py
-
-.. _customizing-artists:
-
-Customizing your objects
-========================
-
-Every element in the figure is represented by a matplotlib
-:class:`~matplotlib.artist.Artist`, and each has an extensive list of
-properties to configure its appearance.  The figure itself contains a
-:class:`~matplotlib.patches.Rectangle` exactly the size of the figure,
-which you can use to set the background color and transparency of the
-figures.  Likewise, each :class:`~matplotlib.axes.Axes` bounding box
-(the standard white box with black edges in the typical matplotlib
-plot, has a ``Rectangle`` instance that determines the color,
-transparency, and other properties of the Axes.  These instances are
-stored as member variables :attr:`Figure.patch
-<matplotlib.figure.Figure.patch>` and :attr:`Axes.patch
-<matplotlib.axes.Axes.patch>` ("Patch" is a name inherited from
-MATLAB, and is a 2D "patch" of color on the figure, e.g., rectangles,
-circles and polygons).  Every matplotlib ``Artist`` has the following
-properties
-
-==========   ======================================================================
-Property     Description
-==========   ======================================================================
-alpha 	     The transparency - a scalar from 0-1
-animated     A boolean that is used to facilitate animated drawing
-axes         The axes that the Artist lives in, possibly None
-clip_box     The bounding box that clips the Artist
-clip_on      Whether clipping is enabled
-clip_path    The path the artist is clipped to
-contains     A picking function to test whether the artist contains the pick point
-figure       The figure instance the artist lives in, possibly None
-label        A text label (e.g., for auto-labeling)
-picker       A python object that controls object picking
-transform    The transformation
-visible      A boolean whether the artist should be drawn
-zorder       A number which determines the drawing order
-==========   ======================================================================
-
-Each of the properties is accessed with an old-fashioned setter or
-getter (yes we know this irritates Pythonistas and we plan to support
-direct access via properties or traits but it hasn't been done yet).
-For example, to multiply the current alpha by a half::
-
-    a = o.get_alpha()
-    o.set_alpha(0.5*a)
-
-If you want to set a number of properties at once, you can also use
-the ``set`` method with keyword arguments.  For example::
-
-    o.set(alpha=0.5, zorder=2)
-
-If you are working interactively at the python shell, a handy way to
-inspect the ``Artist`` properties is to use the
-:func:`matplotlib.artist.getp` function (simply
-:func:`~matplotlib.pylab.getp` in pylab), which lists the properties
-and their values.  This works for classes derived from ``Artist`` as
-well, e.g., ``Figure`` and ``Rectangle``.  Here are the ``Figure`` rectangle
-properties mentioned above:
-
-.. sourcecode:: ipython
-
-    In [149]: matplotlib.artist.getp(fig.patch)
-	alpha = 1.0
-	animated = False
-	antialiased or aa = True
-	axes = None
-	clip_box = None
-	clip_on = False
-	clip_path = None
-	contains = None
-	edgecolor or ec = w
-	facecolor or fc = 0.75
-	figure = Figure(8.125x6.125)
-	fill = 1
-	hatch = None
-	height = 1
-	label =
-	linewidth or lw = 1.0
-	picker = None
-	transform = <Affine object at 0x134cca84>
-	verts = ((0, 0), (0, 1), (1, 1), (1, 0))
-	visible = True
-	width = 1
-	window_extent = <Bbox object at 0x134acbcc>
-	x = 0
-	y = 0
-	zorder = 1
-
-.. TODO: Update these URLs
-
-The docstrings for all of the classes also contain the ``Artist``
-properties, so you can consult the interactive "help" or the
-:ref:`artist-api` for a listing of properties for a given object.
-
-.. _object-containers:
-
-Object containers
-=================
-
-
-Now that we know how to inspect and set the properties of a given
-object we want to configure, we need to now how to get at that object.
-As mentioned in the introduction, there are two kinds of objects:
-primitives and containers.  The primitives are usually the things you
-want to configure (the font of a :class:`~matplotlib.text.Text`
-instance, the width of a :class:`~matplotlib.lines.Line2D`) although
-the containers also have some properties as well -- for example the
-:class:`~matplotlib.axes.Axes` :class:`~matplotlib.artist.Artist` is a
-container that contains many of the primitives in your plot, but it
-also has properties like the ``xscale`` to control whether the xaxis
-is 'linear' or 'log'.  In this section we'll review where the various
-container objects store the ``Artists`` that you want to get at.
-
-.. _figure-container:
-
-Figure container
-================
-
-The top level container ``Artist`` is the
-:class:`matplotlib.figure.Figure`, and it contains everything in the
-figure.  The background of the figure is a
-:class:`~matplotlib.patches.Rectangle` which is stored in
-:attr:`Figure.patch <matplotlib.figure.Figure.patch>`.  As
-you add subplots (:meth:`~matplotlib.figure.Figure.add_subplot`) and
-axes (:meth:`~matplotlib.figure.Figure.add_axes`) to the figure
-these will be appended to the :attr:`Figure.axes
-<matplotlib.figure.Figure.axes>`.  These are also returned by the
-methods that create them:
-
-.. sourcecode:: ipython
-
-    In [156]: fig = plt.figure()
-
-    In [157]: ax1 = fig.add_subplot(211)
-
-    In [158]: ax2 = fig.add_axes([0.1, 0.1, 0.7, 0.3])
-
-    In [159]: ax1
-    Out[159]: <matplotlib.axes.Subplot instance at 0xd54b26c>
-
-    In [160]: print fig.axes
-    [<matplotlib.axes.Subplot instance at 0xd54b26c>, <matplotlib.axes.Axes instance at 0xd3f0b2c>]
-
-Because the figure maintains the concept of the "current axes" (see
-:meth:`Figure.gca <matplotlib.figure.Figure.gca>` and
-:meth:`Figure.sca <matplotlib.figure.Figure.sca>`) to support the
-pylab/pyplot state machine, you should not insert or remove axes
-directly from the axes list, but rather use the
-:meth:`~matplotlib.figure.Figure.add_subplot` and
-:meth:`~matplotlib.figure.Figure.add_axes` methods to insert, and the
-:meth:`~matplotlib.figure.Figure.delaxes` method to delete.  You are
-free however, to iterate over the list of axes or index into it to get
-access to ``Axes`` instances you want to customize.  Here is an
-example which turns all the axes grids on::
-
-    for ax in fig.axes:
-        ax.grid(True)
-
-
-The figure also has its own text, lines, patches and images, which you
-can use to add primitives directly.  The default coordinate system for
-the ``Figure`` will simply be in pixels (which is not usually what you
-want) but you can control this by setting the transform property of
-the ``Artist`` you are adding to the figure.
-
-.. TODO: Is that still true?
-
-More useful is "figure coordinates" where (0, 0) is the bottom-left of
-the figure and (1, 1) is the top-right of the figure which you can
-obtain by setting the ``Artist`` transform to :attr:`fig.transFigure
-<matplotlib.figure.Figure.transFigure>`:
-
-.. sourcecode:: ipython
-
-    In [191]: fig = plt.figure()
-
-    In [192]: l1 = matplotlib.lines.Line2D([0, 1], [0, 1],
-               transform=fig.transFigure, figure=fig)
-
-    In [193]: l2 = matplotlib.lines.Line2D([0, 1], [1, 0],
-               transform=fig.transFigure, figure=fig)
-
-    In [194]: fig.lines.extend([l1, l2])
-
-    In [195]: fig.canvas.draw()
-
-.. plot:: pyplots/fig_x.py
-
-
-Here is a summary of the Artists the figure contains
-
-.. TODO: Add xrefs to this table
-
-================      ===============================================================
-Figure attribute      Description
-================      ===============================================================
-axes                  A list of Axes instances (includes Subplot)
-patch                 The Rectangle background
-images                A list of FigureImages patches - useful for raw pixel display
-legends               A list of Figure Legend instances (different from Axes.legends)
-lines                 A list of Figure Line2D instances (rarely used, see Axes.lines)
-patches               A list of Figure patches (rarely used, see Axes.patches)
-texts                 A list Figure Text instances
-================      ===============================================================
-
-.. _axes-container:
-
-Axes container
-==============
-
-The :class:`matplotlib.axes.Axes` is the center of the matplotlib
-universe -- it contains the vast majority of all the ``Artists`` used
-in a figure with many helper methods to create and add these
-``Artists`` to itself, as well as helper methods to access and
-customize the ``Artists`` it contains.  Like the
-:class:`~matplotlib.figure.Figure`, it contains a
-:class:`~matplotlib.patches.Patch`
-:attr:`~matplotlib.axes.Axes.patch` which is a
-:class:`~matplotlib.patches.Rectangle` for Cartesian coordinates and a
-:class:`~matplotlib.patches.Circle` for polar coordinates; this patch
-determines the shape, background and border of the plotting region::
-
-    ax = fig.add_subplot(111)
-    rect = ax.patch  # a Rectangle instance
-    rect.set_facecolor('green')
-
-When you call a plotting method, e.g., the canonical
-:meth:`~matplotlib.axes.Axes.plot` and pass in arrays or lists of
-values, the method will create a :meth:`matplotlib.lines.Line2D`
-instance, update the line with all the ``Line2D`` properties passed as
-keyword arguments, add the line to the :attr:`Axes.lines
-<matplotlib.axes.Axes.lines>` container, and returns it to you:
-
-.. sourcecode:: ipython
-
-    In [213]: x, y = np.random.rand(2, 100)
-
-    In [214]: line, = ax.plot(x, y, '-', color='blue', linewidth=2)
-
-``plot`` returns a list of lines because you can pass in multiple x, y
-pairs to plot, and we are unpacking the first element of the length
-one list into the line variable.  The line has been added to the
-``Axes.lines`` list:
-
-.. sourcecode:: ipython
-
-    In [229]: print ax.lines
-    [<matplotlib.lines.Line2D instance at 0xd378b0c>]
-
-Similarly, methods that create patches, like
-:meth:`~matplotlib.axes.Axes.bar` creates a list of rectangles, will
-add the patches to the :attr:`Axes.patches
-<matplotlib.axes.Axes.patches>` list:
-
-.. sourcecode:: ipython
-
-    In [233]: n, bins, rectangles = ax.hist(np.random.randn(1000), 50, facecolor='yellow')
-
-    In [234]: rectangles
-    Out[234]: <a list of 50 Patch objects>
-
-    In [235]: print len(ax.patches)
-
-You should not add objects directly to the ``Axes.lines`` or
-``Axes.patches`` lists unless you know exactly what you are doing,
-because the ``Axes`` needs to do a few things when it creates and adds
-an object.  It sets the figure and axes property of the ``Artist``, as
-well as the default ``Axes`` transformation (unless a transformation
-is set).  It also inspects the data contained in the ``Artist`` to
-update the data structures controlling auto-scaling, so that the view
-limits can be adjusted to contain the plotted data.  You can,
-nonetheless, create objects yourself and add them directly to the
-``Axes`` using helper methods like
-:meth:`~matplotlib.axes.Axes.add_line` and
-:meth:`~matplotlib.axes.Axes.add_patch`.  Here is an annotated
-interactive session illustrating what is going on:
-
-.. sourcecode:: ipython
-
-    In [261]: fig = plt.figure()
-
-    In [262]: ax = fig.add_subplot(111)
-
-    # create a rectangle instance
-    In [263]: rect = matplotlib.patches.Rectangle( (1,1), width=5, height=12)
-
-    # by default the axes instance is None
-    In [264]: print rect.get_axes()
-    None
-
-    # and the transformation instance is set to the "identity transform"
-    In [265]: print rect.get_transform()
-    <Affine object at 0x13695544>
-
-    # now we add the Rectangle to the Axes
-    In [266]: ax.add_patch(rect)
-
-    # and notice that the ax.add_patch method has set the axes
-    # instance
-    In [267]: print rect.get_axes()
-    Axes(0.125,0.1;0.775x0.8)
-
-    # and the transformation has been set too
-    In [268]: print rect.get_transform()
-    <Affine object at 0x15009ca4>
-
-    # the default axes transformation is ax.transData
-    In [269]: print ax.transData
-    <Affine object at 0x15009ca4>
-
-    # notice that the xlimits of the Axes have not been changed
-    In [270]: print ax.get_xlim()
-    (0.0, 1.0)
-
-    # but the data limits have been updated to encompass the rectangle
-    In [271]: print ax.dataLim.bounds
-    (1.0, 1.0, 5.0, 12.0)
-
-    # we can manually invoke the auto-scaling machinery
-    In [272]: ax.autoscale_view()
-
-    # and now the xlim are updated to encompass the rectangle
-    In [273]: print ax.get_xlim()
-    (1.0, 6.0)
-
-    # we have to manually force a figure draw
-    In [274]: ax.figure.canvas.draw()
-
-
-There are many, many ``Axes`` helper methods for creating primitive
-``Artists`` and adding them to their respective containers.  The table
-below summarizes a small sampling of them, the kinds of ``Artist`` they
-create, and where they store them
-
-==============================   ====================  =======================
-Helper method                    Artist                Container
-==============================   ====================  =======================
-ax.annotate - text annotations   Annotate              ax.texts
-ax.bar  - bar charts             Rectangle             ax.patches
-ax.errorbar - error bar plots    Line2D and Rectangle  ax.lines and ax.patches
-ax.fill - shared area            Polygon               ax.patches
-ax.hist - histograms             Rectangle             ax.patches
-ax.imshow - image data           AxesImage             ax.images
-ax.legend - axes legends         Legend                ax.legends
-ax.plot - xy plots               Line2D                ax.lines
-ax.scatter - scatter charts      PolygonCollection     ax.collections
-ax.text - text                   Text                  ax.texts
-==============================   ====================  =======================
-
-
-In addition to all of these ``Artists``, the ``Axes`` contains two
-important ``Artist`` containers: the :class:`~matplotlib.axis.XAxis`
-and :class:`~matplotlib.axis.YAxis`, which handle the drawing of the
-ticks and labels.  These are stored as instance variables
-:attr:`~matplotlib.axes.Axes.xaxis` and
-:attr:`~matplotlib.axes.Axes.yaxis`.  The ``XAxis`` and ``YAxis``
-containers will be detailed below, but note that the ``Axes`` contains
-many helper methods which forward calls on to the
-:class:`~matplotlib.axis.Axis` instances so you often do not need to
-work with them directly unless you want to.  For example, you can set
-the font size of the ``XAxis`` ticklabels using the ``Axes`` helper
-method::
-
-    for label in ax.get_xticklabels():
-        label.set_color('orange')
-
-Below is a summary of the Artists that the Axes contains
-
-==============    ======================================
-Axes attribute    Description
-==============    ======================================
-artists           A list of Artist instances
-patch             Rectangle instance for Axes background
-collections       A list of Collection instances
-images            A list of AxesImage
-legends           A list of Legend instances
-lines             A list of Line2D instances
-patches           A list of Patch instances
-texts             A list of Text instances
-xaxis             matplotlib.axis.XAxis instance
-yaxis             matplotlib.axis.YAxis instance
-==============    ======================================
-
-.. _axis-container:
-
-Axis containers
-===============
-
-The :class:`matplotlib.axis.Axis` instances handle the drawing of the
-tick lines, the grid lines, the tick labels and the axis label.  You
-can configure the left and right ticks separately for the y-axis, and
-the upper and lower ticks separately for the x-axis.  The ``Axis``
-also stores the data and view intervals used in auto-scaling, panning
-and zooming, as well as the :class:`~matplotlib.ticker.Locator` and
-:class:`~matplotlib.ticker.Formatter` instances which control where
-the ticks are placed and how they are represented as strings.
-
-Each ``Axis`` object contains a :attr:`~matplotlib.axis.Axis.label` attribute
-(this is what :mod:`~matplotlib.pylab` modifies in calls to
-:func:`~matplotlib.pylab.xlabel` and :func:`~matplotlib.pylab.ylabel`) as well
-as a list of major and minor ticks.  The ticks are
-:class:`~matplotlib.axis.XTick` and :class:`~matplotlib.axis.YTick` instances,
-which contain the actual line and text primitives that render the ticks and
-ticklabels.  Because the ticks are dynamically created as needed (e.g., when
-panning and zooming), you should access the lists of major and minor ticks
-through their accessor methods :meth:`~matplotlib.axis.Axis.get_major_ticks`
-and :meth:`~matplotlib.axis.Axis.get_minor_ticks`.  Although the ticks contain
-all the primitives and will be covered below, the ``Axis`` methods contain
-accessor methods to return the tick lines, tick labels, tick locations etc.:
-
-.. sourcecode:: ipython
-
-    In [285]: axis = ax.xaxis
-
-    In [286]: axis.get_ticklocs()
-    Out[286]: array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9.])
-
-    In [287]: axis.get_ticklabels()
-    Out[287]: <a list of 10 Text major ticklabel objects>
-
-    # note there are twice as many ticklines as labels because by
-    #  default there are tick lines at the top and bottom but only tick
-    #  labels below the xaxis; this can be customized
-    In [288]: axis.get_ticklines()
-    Out[288]: <a list of 20 Line2D ticklines objects>
-
-    # by default you get the major ticks back
-    In [291]: axis.get_ticklines()
-    Out[291]: <a list of 20 Line2D ticklines objects>
-
-    # but you can also ask for the minor ticks
-    In [292]: axis.get_ticklines(minor=True)
-    Out[292]: <a list of 0 Line2D ticklines objects>
-
-Here is a summary of some of the useful accessor methods of the ``Axis``
-(these have corresponding setters where useful, such as
-set_major_formatter)
-
-======================  =========================================================
-Accessor method         Description
-======================  =========================================================
-get_scale               The scale of the axis, e.g., 'log' or 'linear'
-get_view_interval       The interval instance of the axis view limits
-get_data_interval       The interval instance of the axis data limits
-get_gridlines           A list of grid lines for the Axis
-get_label               The axis label - a Text instance
-get_ticklabels          A list of Text instances - keyword minor=True|False
-get_ticklines           A list of Line2D instances - keyword minor=True|False
-get_ticklocs            A list of Tick locations - keyword minor=True|False
-get_major_locator       The matplotlib.ticker.Locator instance for major ticks
-get_major_formatter     The matplotlib.ticker.Formatter instance for major ticks
-get_minor_locator       The matplotlib.ticker.Locator instance for minor ticks
-get_minor_formatter     The matplotlib.ticker.Formatter instance for minor ticks
-get_major_ticks         A list of Tick instances for major ticks
-get_minor_ticks         A list of Tick instances for minor ticks
-grid                    Turn the grid on or off for the major or minor ticks
-======================  =========================================================
-
-Here is an example, not recommended for its beauty, which customizes
-the axes and tick properties
-
-.. plot:: pyplots/fig_axes_customize_simple.py
-   :include-source:
-
-
-.. _tick-container:
-
-Tick containers
-===============
-
-The :class:`matplotlib.axis.Tick` is the final container object in our
-descent from the :class:`~matplotlib.figure.Figure` to the
-:class:`~matplotlib.axes.Axes` to the :class:`~matplotlib.axis.Axis`
-to the :class:`~matplotlib.axis.Tick`.  The ``Tick`` contains the tick
-and grid line instances, as well as the label instances for the upper
-and lower ticks.  Each of these is accessible directly as an attribute
-of the ``Tick``.  In addition, there are boolean variables that determine
-whether the upper labels and ticks are on for the x-axis and whether
-the right labels and ticks are on for the y-axis.
-
-==============   ==========================================================
-Tick attribute   Description
-==============   ==========================================================
-tick1line        Line2D instance
-tick2line        Line2D instance
-gridline         Line2D instance
-label1           Text instance
-label2           Text instance
-gridOn           boolean which determines whether to draw the tickline
-tick1On          boolean which determines whether to draw the 1st tickline
-tick2On          boolean which determines whether to draw the 2nd tickline
-label1On         boolean which determines whether to draw tick label
-label2On         boolean which determines whether to draw tick label
-==============   ==========================================================
-
-Here is an example which sets the formatter for the right side ticks with
-dollar signs and colors them green on the right side of the yaxis
-
-.. plot:: pyplots/dollar_ticks.py
-   :include-source:
diff --git a/doc/users/beginner.rst b/doc/users/beginner.rst
deleted file mode 100644
index 966c2d53229d..000000000000
--- a/doc/users/beginner.rst
+++ /dev/null
@@ -1,26 +0,0 @@
-.. _beginners-guide-index:
-
-################
-Beginner's Guide
-################
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-.. toctree::
-    :maxdepth: 2
-
-    pyplot_tutorial.rst
-    style_sheets.rst
-    navigation_toolbar.rst
-    index_text.rst
-    image_tutorial.rst
-    legend_guide.rst
-    annotations_guide.rst
-    screenshots.rst
-    colormaps.rst
-
-
-
diff --git a/doc/users/colormaps.rst b/doc/users/colormaps.rst
deleted file mode 100644
index 47e272d90bbb..000000000000
--- a/doc/users/colormaps.rst
+++ /dev/null
@@ -1,112 +0,0 @@
-.. _colormaps:
-
-******************
-Choosing Colormaps
-******************
-
-
-Overview
-========
-
-The idea behind choosing a good colormap is to find a good representation in 3D colorspace for your data set. The best colormap for any given data set depends on many things including:
-
-- Whether representing form or metric data ([Ware]_)
-- Your knowledge of the data set (*e.g.*, is there a critical value from which the other values deviate?)
-- If there is an intuitive color scheme for the parameter you are plotting
-- If there is a standard in the field the audience may be expecting
-
-For many applications, a perceptual colormap is the best choice --- one in which equal steps in data are perceived as equal steps in the color space. Researchers have found that the human brain perceives changes in the lightness parameter as changes in the data much better than, for example, changes in hue. Therefore, colormaps which have monotonically increasing lightness through the colormap will be better interpreted by the viewer.
-
-Color can be represented in 3D space in various ways. One way to represent color is using CIELAB. In CIELAB, color space is represented by lightness, :math:`L^*`; red-green, :math:`a^*`; and yellow-blue, :math:`b^*`. The lightness parameter :math:`L^*` can then be used to learn more about how the matplotlib colormaps will be perceived by viewers.
-
-An excellent starting resource for learning about human perception of colormaps is from [IBM]_.
-
-
-Classes of colormaps
-====================
-
-Colormaps are often split into several categories based on their function (see, *e.g.*, [Moreland]_):
-
-1. Sequential: change in lightness and often saturation of color incrementally, often using a single hue; should be used for representing information that has ordering.
-2. Diverging: change in lightness and possibly saturation of two different colors that meet in the middle at an unsaturated color; should be used when the information being plotted has a critical middle value, such as topography or when the data deviates around zero.
-3. Qualitative: often are miscellaneous colors; should be used to represent information which does not have ordering or relationships.
-
-
-Lightness of matplotlib colormaps
-=================================
-
-Here we examine the lightness values of the matplotlib colormaps. Note that some documentation on the colormaps is available ([list-colormaps]_).
-
-Sequential
-----------
-
-For the Sequential plots, the lightness value increases monotonically through the colormaps. This is good. Some of the :math:`L^*` values in the colormaps span from 0 to 100 (binary and the other grayscale), and others start around :math:`L^*=20`. Those that have a smaller range of :math:`L^*` will accordingly have a smaller perceptual range. Note also that the :math:`L^*` function varies amongst the colormaps: some are approximately linear in :math:`L^*` and others are more curved.
-
-Sequential2
------------
-
-Many of the :math:`L^*` values from the Sequential2 plots are monotonically increasing, but some (autumn, cool, spring, and winter) plateau or even go both up and down in :math:`L^*` space. Others (afmhot, copper, gist_heat, and hot) have kinks in the :math:`L^*` functions. Data that is being represented in a region of the colormap that is at a plateau or kink will lead to a perception of banding of the data in those values in the colormap (see [mycarta-banding]_ for an excellent example of this). 
-
-Diverging
----------
-
-For the Diverging maps, we want to have monotonically increasing :math:`L^*` values up to a maximum, which should be close to :math:`L^*=100`, followed by monotonically decreasing :math:`L^*` values. We are looking for approximately equal minimum :math:`L^*` values at opposite ends of the colormap. By these measures, BrBG and RdBu are good options. coolwarm is a good option, but it doesn't span a wide range of :math:`L^*` values (see grayscale section below). 
-
-Qualitative
------------
-
-Qualitative colormaps are not aimed at being perceptual maps, but looking at the lightness parameter can verify that for us. The :math:`L^*` values move all over the place throughout the colormap, and are clearly not monotonically increasing. These would not be good options for use as perceptual colormaps.
-
-Miscellaneous
--------------
-
-Some of the miscellaneous colormaps have particular uses they have been created for. For example, gist_earth, ocean, and terrain all seem to be created for plotting topography (green/brown) and water depths (blue) together. We would expect to see a divergence in these colormaps, then, but multiple kinks may not be ideal, such as in gist_earth and terrain. CMRmap was created to convert well to grayscale, though it does appear to have some small kinks in :math:`L^*`. cubehelix was created to vary smoothly in both lightness and hue, but appears to have a small hump in the green hue area. 
-
-The often-used jet colormap is included in this set of colormaps. We can see that the :math:`L^*` values vary widely throughout the colormap, making it a poor choice for representing data for viewers to see perceptually. See an extension on this idea at [mycarta-jet]_.
-
-.. plot:: users/plotting/colormaps/lightness.py
-
-
-:math:`L^*` function
-====================
-
-There are multiple approaches to finding the best function for :math:`L^*` across a colormap. Linear gives reasonable results (*e.g.*, [mycarta-banding]_, [mycarta-lablinear]_). However, the Weber-Fechner law, and more generally and recently, Stevens' Law, indicates that a logarithmic or geometric relationship might be better (see effort on this front at [mycarta-cubelaw]_).
-
-.. plot:: users/plotting/colormaps/Lfunction.py
-
-
-Grayscale conversion
-====================
-
-Conversion to grayscale is important to pay attention to for printing publications that have color plots. If this is not paid attention to ahead of time, your readers may end up with indecipherable plots because the grayscale changes unpredictably through the colormap. 
-
-Conversion to grayscale is done in many different ways [bw]_. Some of the better ones use a linear combination of the rgb values of a pixel, but weighted according to how we perceive color intensity. A nonlinear method of conversion to grayscale is to use the :math:`L^*` values of the pixels. In general, similar principles apply for this question as they do for presenting one's information perceptually; that is, if a colormap is chosen that has monotonically increasing in :math:`L^*` values, it will print in a reasonable manner to grayscale. 
-
-With this in mind, we see that the Sequential colormaps have reasonable representations in grayscale. Some of the Sequential2 colormaps have decent enough grayscale representations, though some (autumn, spring, summer, winter) have very little grayscale change. If a colormap like this was used in a plot and then the plot was printed to grayscale, a lot of the information may map to the same gray values. The Diverging colormaps mostly vary from darker gray on the outer edges to white in the middle. Some (PuOr and seismic) have noticably darker gray on one side than the other and therefore are not very symmetric. coolwarm has little range of gray scale and would print to a more uniform plot, losing a lot of detail. Note that overlaid, labeled contours could help differentiate between one side of the colormap vs. the other since color cannot be used once a plot is printed to grayscale. Many of the Qualitative and Miscellaneous colormaps, such as Accent, hsv, and jet, change from darker to lighter and back to darker gray throughout the colormap. This would make it impossible for a viewer to interpret the information in a plot once it is printed in grayscale.
-
-.. plot:: users/plotting/colormaps/grayscale.py
-
-
-Color vision deficiencies
-=========================
-
-There is a lot of information available about color blindness available (*e.g.*, [colorblindness]_). Additionally, there are tools available to convert images to how they look for different types of color vision deficiencies (*e.g.*, [asp]_).
-
-The most common form of color vision deficiency involves differentiating between red and green. Thus, avoiding colormaps with both red and green will avoid many problems in general.
-
-
-References
-==========
-
-.. [Ware] http://ccom.unh.edu/sites/default/files/publications/Ware_1988_CGA_Color_sequences_univariate_maps.pdf
-.. [Moreland] http://www.sandia.gov/~kmorel/documents/ColorMaps/ColorMapsExpanded.pdf
-.. [list-colormaps] https://gist.github.com/endolith/2719900#id7
-.. [mycarta-banding] http://mycarta.wordpress.com/2012/10/14/the-rainbow-is-deadlong-live-the-rainbow-part-4-cie-lab-heated-body/
-.. [mycarta-jet] http://mycarta.wordpress.com/2012/10/06/the-rainbow-is-deadlong-live-the-rainbow-part-3/
-.. [mycarta-lablinear] http://mycarta.wordpress.com/2012/12/06/the-rainbow-is-deadlong-live-the-rainbow-part-5-cie-lab-linear-l-rainbow/
-.. [mycarta-cubelaw] http://mycarta.wordpress.com/2013/02/21/perceptual-rainbow-palette-the-method/
-.. [bw] http://www.tannerhelland.com/3643/grayscale-image-algorithm-vb6/
-.. [colorblindness] http://aspnetresources.com/tools/colorBlindness
-.. [asp] http://aspnetresources.com/tools/colorBlindness
-.. [IBM] http://www.research.ibm.com/people/l/lloydt/color/color.HTM
-
diff --git a/doc/users/configuration.rst b/doc/users/configuration.rst
deleted file mode 100644
index 324068f5bf55..000000000000
--- a/doc/users/configuration.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-.. _configuration-guide-index:
-
-###################
-Configuration Guide
-###################
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-.. toctree::
-    :maxdepth: 2
-
-    installing.rst
-    customizing.rst
-    shell.rst
-
-
-
diff --git a/doc/users/credits.rst b/doc/users/credits.rst
deleted file mode 100644
index aa15928ebd57..000000000000
--- a/doc/users/credits.rst
+++ /dev/null
@@ -1,219 +0,0 @@
-.. _credits:
-
-*******
-Credits
-*******
-
-
-matplotlib was written by John Hunter and is now developed and
-maintained by a number of `active
-<http://www.ohloh.net/projects/matplotlib/contributors>`_ developers.
-The current co-lead developers of matplotlib are Michael Droettboom
-and Thomas A. Caswell.
-
-Special thanks to those who have made valuable contributions (roughly
-in order of first contribution by date).  Any list like this is bound
-to be incomplete and can't capture the thousands and thousands of
-contributions over the years from these and others:
-
-Jeremy O'Donoghue
-  wrote the wx backend
-
-Andrew Straw
-  Provided much of the log scaling architecture, the fill command, PIL
-  support for imshow, and provided many examples.  He also wrote the
-  support for dropped axis spines and the `buildbot
-  <http://mpl-buildbot.code.astraw.com/>`_ unit testing infrastructure
-  which triggers the JPL/James Evans platform specific builds and
-  regression test image comparisons from svn matplotlib across
-  platforms on svn commits.
-
-Charles Twardy
-  provided the impetus code for the legend class and has made
-  countless bug reports and suggestions for improvement.
-
-Gary Ruben
-  made many enhancements to errorbar to support x and y
-  errorbar plots, and added a number of new marker types to plot.
-
-John Gill
-  wrote the table class and examples, helped with support for
-  auto-legend placement, and added support for legending scatter
-  plots.
-
-David Moore
-  wrote the paint backend (no longer used)
-
-Todd Miller
-  supported by `STSCI <http://www.stsci.edu>`_ contributed the TkAgg
-  backend and the numerix module, which allows matplotlib to work with
-  either numeric or numarray.  He also ported image support to the
-  postscript backend, with much pain and suffering.
-
-Paul Barrett
-  supported by `STSCI <http://www.stsci.edu>`_ overhauled font
-  management to provide an improved, free-standing, platform
-  independent font manager with a WC3 compliant font finder and cache
-  mechanism and ported truetype and mathtext to PS.
-
-Perry Greenfield
-  supported by `STSCI <http://www.stsci.edu>`_ overhauled and
-  modernized the goals and priorities page, implemented an improved
-  colormap framework, and has provided many suggestions and a lot of
-  insight to the overall design and organization of matplotlib.
-
-Jared Wahlstrand
-  wrote the initial SVG backend.
-
-Steve Chaplin
-  served as the GTK maintainer and wrote the Cairo and
-  GTKCairo backends.
-
-Jim Benson
-  provided the patch to handle vertical mathttext.
-
-Gregory Lielens
-  provided the FltkAgg backend and several patches for the frontend,
-  including contributions to toolbar2, and support for log ticking
-  with alternate bases and major and minor log ticking.
-
-Darren Dale
-
-  did the work to do mathtext exponential labeling for log plots,
-  added improved support for scalar formatting, and did the lions
-  share of the `psfrag
-  <http://www.ctan.org/tex-archive/help/Catalogue/entries/psfrag.html?action=/tex-archive/macros/latex/contrib/supported/psfrag>`_
-  LaTeX support for postscript. He has made substantial contributions
-  to extending and maintaining the PS and Qt backends, and wrote the
-  site.cfg and matplotlib.conf build and runtime configuration
-  support.  He setup the infrastructure for the sphinx documentation
-  that powers the mpl docs.
-
-Paul Mcguire
-  provided the pyparsing module on which mathtext relies, and made a
-  number of optimizations to the matplotlib mathtext grammar.
-
-
-Fernando Perez
-  has provided numerous bug reports and patches for cleaning up
-  backend imports and expanding pylab functionality, and provided
-  matplotlib support in the pylab mode for `ipython
-  <http://ipython.org>`_.  He also provided the
-  :func:`~matplotlib.pyplot.matshow` command, and wrote TConfig, which
-  is the basis for the experimental traited mpl configuration.
-
-Andrew Dalke
-  of `Dalke Scientific Software <http://www.dalkescientific.com/>`_ contributed the
-  strftime formatting code to handle years earlier than 1900.
-
-Jochen Voss
-  served as PS backend maintainer and has contributed several
-  bugfixes.
-
-Nadia Dencheva
-
-  supported by `STSCI <http://www.stsci.edu>`_ provided the contouring and
-  contour labeling code.
-
-Baptiste Carvello
-  provided the key ideas in a patch for proper
-  shared axes support that underlies ganged plots and multiscale
-  plots.
-
-Jeffrey Whitaker
-  at `NOAA <http://www.boulder.noaa.gov>`_ wrote the
-  :ref:`toolkit_basemap` toolkit
-
-Sigve Tjoraand, Ted Drain, James Evans
-  and colleagues at the `JPL <http://www.jpl.nasa.gov>`_ collaborated
-  on the QtAgg backend and sponsored development of a number of
-  features including custom unit types, datetime support, scale free
-  ellipses, broken bar plots and more.  The JPL team wrote the unit
-  testing image comparison `infrastructure
-  <https://github.com/matplotlib/matplotlib/tree/master/test>`_
-  for regression test image comparisons.
-
-James Amundson
-  did the initial work porting the qt backend to qt4
-
-Eric Firing
-  has contributed significantly to contouring, masked
-  array, pcolor, image and quiver support, in addition to ongoing
-  support and enhancements in performance, design and code quality in
-  most aspects of matplotlib.
-
-Daishi Harada
-  added support for "Dashed Text".  See `dashpointlabel.py
-  <../examples/pylab_examples/dashpointlabel.html>`_ and
-  :class:`~matplotlib.text.TextWithDash`.
-
-Nicolas Young
-  added support for byte images to imshow, which are
-  more efficient in CPU and memory, and added support for irregularly
-  sampled images.
-
-The `brainvisa <http://brainvisa.info>`_ Orsay team and Fernando Perez
-  added Qt support to `ipython <http://ipython.org>`_ in pylab mode.
-
-
-Charlie Moad
-  contributed work to matplotlib's Cocoa support and has done a lot of work on the OSX and win32 binary releases.
-
-Jouni K. Seppänen
-  wrote the PDF backend and contributed numerous
-  fixes to the code, to tex support and to the get_sample_data handler
-
-Paul Kienzle
-  improved the picking infrastructure for interactive plots, and with
-  Alex Mont contributed fast rendering code for quadrilateral meshes.
-
-Michael Droettboom
-  supported by `STSCI <http://www.stsci.edu>`_ wrote the enhanced
-  mathtext support, implementing Knuth's box layout algorithms, saving
-  to file-like objects across backends, and is responsible for
-  numerous bug-fixes, much better font and unicode support, and
-  feature and performance enhancements across the matplotlib code
-  base. He also rewrote the transformation infrastructure to support
-  custom projections and scales.
-
-John Porter, Jonathon Taylor and Reinier Heeres
-  John Porter wrote the mplot3d module for basic 3D plotting in
-  matplotlib, and Jonathon Taylor and Reinier Heeres ported it to the
-  refactored transform trunk.
-
-Jae-Joon Lee
-  Implemented fancy arrows and boxes, rewrote the legend
-  support to handle multiple columns and fancy text boxes, wrote the
-  axes grid toolkit, and has made numerous contributions to the code
-  and documentation
-
-Paul Ivanov
-  Has worked on getting matplotlib integrated better with other tools,
-  such as Sage and IPython, and getting the test infrastructure
-  faster, lighter and meaner.  Listen to his podcast.
-
-Tony Yu
-  Has been involved in matplotlib since the early days, and recently
-  has contributed stream plotting among many other improvements.  He
-  is the author of mpltools.
-
-Michiel de Hoon
-  Wrote and maintains the macosx backend.
-
-Ian Thomas
-  Contributed, among other things, the triangulation (tricolor and
-  tripcontour) methods.
-
-Benjamin Root
-  Has significantly improved the capabilities of the 3D plotting.  He
-  has improved matplotlib's documentation and code quality throughout,
-  and does invaluable triaging of pull requests and bugs.
-
-Phil Elson
-  Fixed some deep-seated bugs in the transforms framework, and has
-  been laser-focused on improving polish throughout matplotlib,
-  tackling things that have been considered to large and daunting for
-  a long time.
-
-Damon McDougall
-  Added triangulated 3D surfaces and stack plots to matplotlib.
diff --git a/doc/users/customizing.rst b/doc/users/customizing.rst
deleted file mode 100644
index a6b483cca46b..000000000000
--- a/doc/users/customizing.rst
+++ /dev/null
@@ -1,86 +0,0 @@
-.. _customizing-matplotlib:
-
-**********************
-Customizing matplotlib
-**********************
-
-.. _customizing-with-matplotlibrc-files:
-
-The :file:`matplotlibrc` file
-=============================
-
-matplotlib uses :file:`matplotlibrc` configuration files to customize all kinds
-of properties, which we call `rc settings` or `rc parameters`. You can control
-the defaults of almost every property in matplotlib: figure size and dpi, line
-width, color and style, axes, axis and grid properties, text and font
-properties and so on. matplotlib looks for :file:`matplotlibrc` in three
-locations, in the following order:
-
-1. :file:`matplotlibrc` in the current working directory, usually used for
-   specific customizations that you do not want to apply elsewhere.
-
-2. It next looks in a user-specific place, depending on your platform:
-
-   - On Linux, it looks in :file:`.config/matplotlib/matplotlibrc` (or
-     `$XDG_CONFIG_HOME/matplotlib/matplotlibrc`) if you've customized
-     your environment.
-
-   - On other platforms, it looks in :file:`.matplotlib/matplotlibrc`.
-
-   See :ref:`locating-matplotlib-config-dir`.
-
-3. :file:`{INSTALL}/matplotlib/mpl-data/matplotlibrc`, where
-   :file:`{INSTALL}` is something like
-   :file:`/usr/lib/python2.5/site-packages` on Linux, and maybe
-   :file:`C:\\Python25\\Lib\\site-packages` on Windows. Every time you
-   install matplotlib, this file will be overwritten, so if you want
-   your customizations to be saved, please move this file to your
-   user-specific matplotlib directory.
-
-To display where the currently active :file:`matplotlibrc` file was
-loaded from, one can do the following::
-
-  >>> import matplotlib
-  >>> matplotlib.matplotlib_fname()
-  '/home/foo/.config/matplotlib/matplotlibrc'
-
-See below for a sample :ref:`matplotlibrc file<matplotlibrc-sample>`.
-
-.. _customizing-with-dynamic-rc-settings:
-
-Dynamic rc settings
-===================
-
-You can also dynamically change the default rc settings in a python script or
-interactively from the python shell. All of the rc settings are stored in a
-dictionary-like variable called :data:`matplotlib.rcParams`, which is global to
-the matplotlib package. rcParams can be modified directly, for example::
-
-    import matplotlib as mpl
-    mpl.rcParams['lines.linewidth'] = 2
-    mpl.rcParams['lines.color'] = 'r'
-
-Matplotlib also provides a couple of convenience functions for modifying rc
-settings. The :func:`matplotlib.rc` command can be used to modify multiple
-settings in a single group at once, using keyword arguments::
-
-    import matplotlib as mpl
-    mpl.rc('lines', linewidth=2, color='r')
-
-The :func:`matplotlib.rcdefaults` command will restore the standard matplotlib
-default settings.
-
-There is some degree of validation when setting the values of rcParams, see
-:mod:`matplotlib.rcsetup` for details.
-
-
-.. _matplotlibrc-sample:
-
-A sample matplotlibrc file
---------------------------------------------------------------------
-
-.. htmlonly::
-
-    `(download) <../_static/matplotlibrc>`__
-
-.. literalinclude:: ../../lib/matplotlib/mpl-data/matplotlibrc
diff --git a/doc/users/developer.rst b/doc/users/developer.rst
deleted file mode 100644
index 02b2ab793b57..000000000000
--- a/doc/users/developer.rst
+++ /dev/null
@@ -1,23 +0,0 @@
-.. _advanced-guide-index:
-
-###############
-Advanced Guide
-###############
-
-.. htmlonly::
-
-    :Release: |version|
-    :Date: |today|
-
-.. toctree::
-    :maxdepth: 2
-
-    artists.rst
-    gridspec.rst
-    tight_layout_guide.rst
-    event_handling.rst
-    transforms_tutorial.rst
-    path_tutorial.rst
-    patheffects_guide.rst
-    recipes.rst
-
diff --git a/doc/users/event_handling.rst b/doc/users/event_handling.rst
deleted file mode 100644
index 17a902e00e40..000000000000
--- a/doc/users/event_handling.rst
+++ /dev/null
@@ -1,565 +0,0 @@
-.. _event-handling-tutorial:
-
-**************************
-Event handling and picking
-**************************
-
-matplotlib works with a number of user interface toolkits (wxpython,
-tkinter, qt4, gtk, and macosx) and in order to support features like
-interactive panning and zooming of figures, it is helpful to the
-developers to have an API for interacting with the figure via key
-presses and mouse movements that is "GUI neutral" so we don't have to
-repeat a lot of code across the different user interfaces.  Although
-the event handling API is GUI neutral, it is based on the GTK model,
-which was the first user interface matplotlib supported.  The events
-that are triggered are also a bit richer vis-a-vis matplotlib than
-standard GUI events, including information like which
-:class:`matplotlib.axes.Axes` the event occurred in.  The events also
-understand the matplotlib coordinate system, and report event
-locations in both pixel and data coordinates.
-
-.. _event-connections:
-
-Event connections
-=================
-
-To receive events, you need to write a callback function and then
-connect your function to the event manager, which is part of the
-:class:`~matplotlib.backend_bases.FigureCanvasBase`.  Here is a simple
-example that prints the location of the mouse click and which button
-was pressed::
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(np.random.rand(10))
-
-    def onclick(event):
-        print 'button=%d, x=%d, y=%d, xdata=%f, ydata=%f'%(
-            event.button, event.x, event.y, event.xdata, event.ydata)
-
-    cid = fig.canvas.mpl_connect('button_press_event', onclick)
-
-The ``FigureCanvas`` method
-:meth:`~matplotlib.backend_bases.FigureCanvasBase.mpl_connect` returns
-a connection id which is simply an integer.  When you want to
-disconnect the callback, just call::
-
-    fig.canvas.mpl_disconnect(cid)
-
-.. note::
-   The canvas retains only weak references to the callbacks.  Therefore
-   if a callback is a method of a class instance, you need to retain
-   a reference to that instance.  Otherwise the instance will be
-   garbage-collected and the callback will vanish.
-
-
-Here are the events that you can connect to, the class instances that
-are sent back to you when the event occurs, and the event descriptions
-
-
-=======================  ======================================================================================
-Event name               Class and description
-=======================  ======================================================================================
-'button_press_event'     :class:`~matplotlib.backend_bases.MouseEvent`     - mouse button is pressed
-'button_release_event'   :class:`~matplotlib.backend_bases.MouseEvent`     - mouse button is released
-'draw_event'             :class:`~matplotlib.backend_bases.DrawEvent`      - canvas draw
-'key_press_event'        :class:`~matplotlib.backend_bases.KeyEvent`       - key is pressed
-'key_release_event'      :class:`~matplotlib.backend_bases.KeyEvent`       - key is released
-'motion_notify_event'    :class:`~matplotlib.backend_bases.MouseEvent`     - mouse motion
-'pick_event'             :class:`~matplotlib.backend_bases.PickEvent`      - an object in the canvas is selected
-'resize_event'           :class:`~matplotlib.backend_bases.ResizeEvent`    - figure canvas is resized
-'scroll_event'           :class:`~matplotlib.backend_bases.MouseEvent`     - mouse scroll wheel is rolled
-'figure_enter_event'     :class:`~matplotlib.backend_bases.LocationEvent`  - mouse enters a new figure
-'figure_leave_event'     :class:`~matplotlib.backend_bases.LocationEvent`  - mouse leaves a figure
-'axes_enter_event'       :class:`~matplotlib.backend_bases.LocationEvent`  - mouse enters a new axes
-'axes_leave_event'       :class:`~matplotlib.backend_bases.LocationEvent`  - mouse leaves an axes
-=======================  ======================================================================================
-
-.. _event-attributes:
-
-Event attributes
-================
-
-All matplotlib events inherit from the base class
-:class:`matplotlib.backend_bases.Event`, which store the attributes:
-
-    ``name``
-	the event name
-
-    ``canvas``
-	the FigureCanvas instance generating the event
-
-    ``guiEvent``
-	the GUI event that triggered the matplotlib event
-
-
-The most common events that are the bread and butter of event handling
-are key press/release events and mouse press/release and movement
-events.  The :class:`~matplotlib.backend_bases.KeyEvent` and
-:class:`~matplotlib.backend_bases.MouseEvent` classes that handle
-these events are both derived from the LocationEvent, which has the
-following attributes
-
-    ``x``
-        x position - pixels from left of canvas
-
-    ``y``
-        y position - pixels from bottom of canvas
-
-    ``inaxes``
-        the :class:`~matplotlib.axes.Axes` instance if mouse is over axes
-
-    ``xdata``
-        x coord of mouse in data coords
-
-    ``ydata``
-        y coord of mouse in data coords
-
-Let's look a simple example of a canvas, where a simple line segment
-is created every time a mouse is pressed::
-
-    from matplotlib import pyplot as plt
-
-    class LineBuilder:
-        def __init__(self, line):
-            self.line = line
-            self.xs = list(line.get_xdata())
-            self.ys = list(line.get_ydata())
-            self.cid = line.figure.canvas.mpl_connect('button_press_event', self)
-
-        def __call__(self, event):
-            print 'click', event
-            if event.inaxes!=self.line.axes: return
-            self.xs.append(event.xdata)
-            self.ys.append(event.ydata)
-            self.line.set_data(self.xs, self.ys)
-            self.line.figure.canvas.draw()
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.set_title('click to build line segments')
-    line, = ax.plot([0], [0])  # empty line
-    linebuilder = LineBuilder(line)
-
-    plt.show()
-
-
-The :class:`~matplotlib.backend_bases.MouseEvent` that we just used is a
-:class:`~matplotlib.backend_bases.LocationEvent`, so we have access to
-the data and pixel coordinates in event.x and event.xdata.  In
-addition to the ``LocationEvent`` attributes, it has
-
-    ``button``
-        button pressed None, 1, 2, 3, 'up', 'down' (up and down are used for scroll events)
-
-    ``key``
-        the key pressed: None, any character, 'shift', 'win', or 'control'
-
-Draggable rectangle exercise
-----------------------------
-
-Write draggable rectangle class that is initialized with a
-:class:`~matplotlib.patches.Rectangle` instance but will move its x,y
-location when dragged.  Hint: you will need to store the original
-``xy`` location of the rectangle which is stored as rect.xy and
-connect to the press, motion and release mouse events.  When the mouse
-is pressed, check to see if the click occurs over your rectangle (see
-:meth:`matplotlib.patches.Rectangle.contains`) and if it does, store
-the rectangle xy and the location of the mouse click in data coords.
-In the motion event callback, compute the deltax and deltay of the
-mouse movement, and add those deltas to the origin of the rectangle
-you stored.  The redraw the figure.  On the button release event, just
-reset all the button press data you stored as None.
-
-Here is the solution::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    class DraggableRectangle:
-        def __init__(self, rect):
-            self.rect = rect
-            self.press = None
-
-        def connect(self):
-            'connect to all the events we need'
-            self.cidpress = self.rect.figure.canvas.mpl_connect(
-                'button_press_event', self.on_press)
-            self.cidrelease = self.rect.figure.canvas.mpl_connect(
-                'button_release_event', self.on_release)
-            self.cidmotion = self.rect.figure.canvas.mpl_connect(
-                'motion_notify_event', self.on_motion)
-
-        def on_press(self, event):
-            'on button press we will see if the mouse is over us and store some data'
-            if event.inaxes != self.rect.axes: return
-
-            contains, attrd = self.rect.contains(event)
-            if not contains: return
-            print 'event contains', self.rect.xy
-            x0, y0 = self.rect.xy
-            self.press = x0, y0, event.xdata, event.ydata
-
-        def on_motion(self, event):
-            'on motion we will move the rect if the mouse is over us'
-            if self.press is None: return
-            if event.inaxes != self.rect.axes: return
-            x0, y0, xpress, ypress = self.press
-            dx = event.xdata - xpress
-            dy = event.ydata - ypress
-            #print 'x0=%f, xpress=%f, event.xdata=%f, dx=%f, x0+dx=%f'%(x0, xpress, event.xdata, dx, x0+dx)
-            self.rect.set_x(x0+dx)
-            self.rect.set_y(y0+dy)
-
-            self.rect.figure.canvas.draw()
-
-
-        def on_release(self, event):
-            'on release we reset the press data'
-            self.press = None
-            self.rect.figure.canvas.draw()
-
-        def disconnect(self):
-            'disconnect all the stored connection ids'
-            self.rect.figure.canvas.mpl_disconnect(self.cidpress)
-            self.rect.figure.canvas.mpl_disconnect(self.cidrelease)
-            self.rect.figure.canvas.mpl_disconnect(self.cidmotion)
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    rects = ax.bar(range(10), 20*np.random.rand(10))
-    drs = []
-    for rect in rects:
-        dr = DraggableRectangle(rect)
-        dr.connect()
-        drs.append(dr)
-
-    plt.show()
-
-
-**Extra credit**: use the animation blit techniques discussed in the
-`animations recipe
-<http://www.scipy.org/Cookbook/Matplotlib/Animations>`_ to make the
-animated drawing faster and smoother.
-
-Extra credit solution::
-
-    # draggable rectangle with the animation blit techniques; see
-    # http://www.scipy.org/Cookbook/Matplotlib/Animations
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    class DraggableRectangle:
-        lock = None  # only one can be animated at a time
-        def __init__(self, rect):
-            self.rect = rect
-            self.press = None
-            self.background = None
-
-        def connect(self):
-            'connect to all the events we need'
-            self.cidpress = self.rect.figure.canvas.mpl_connect(
-                'button_press_event', self.on_press)
-            self.cidrelease = self.rect.figure.canvas.mpl_connect(
-                'button_release_event', self.on_release)
-            self.cidmotion = self.rect.figure.canvas.mpl_connect(
-                'motion_notify_event', self.on_motion)
-
-        def on_press(self, event):
-            'on button press we will see if the mouse is over us and store some data'
-            if event.inaxes != self.rect.axes: return
-            if DraggableRectangle.lock is not None: return
-            contains, attrd = self.rect.contains(event)
-            if not contains: return
-            print 'event contains', self.rect.xy
-            x0, y0 = self.rect.xy
-            self.press = x0, y0, event.xdata, event.ydata
-            DraggableRectangle.lock = self
-
-            # draw everything but the selected rectangle and store the pixel buffer
-            canvas = self.rect.figure.canvas
-            axes = self.rect.axes
-            self.rect.set_animated(True)
-            canvas.draw()
-            self.background = canvas.copy_from_bbox(self.rect.axes.bbox)
-
-            # now redraw just the rectangle
-            axes.draw_artist(self.rect)
-
-            # and blit just the redrawn area
-            canvas.blit(axes.bbox)
-
-        def on_motion(self, event):
-            'on motion we will move the rect if the mouse is over us'
-            if DraggableRectangle.lock is not self:
-                return
-            if event.inaxes != self.rect.axes: return
-            x0, y0, xpress, ypress = self.press
-            dx = event.xdata - xpress
-            dy = event.ydata - ypress
-            self.rect.set_x(x0+dx)
-            self.rect.set_y(y0+dy)
-
-            canvas = self.rect.figure.canvas
-            axes = self.rect.axes
-            # restore the background region
-            canvas.restore_region(self.background)
-
-            # redraw just the current rectangle
-            axes.draw_artist(self.rect)
-
-            # blit just the redrawn area
-            canvas.blit(axes.bbox)
-
-        def on_release(self, event):
-            'on release we reset the press data'
-            if DraggableRectangle.lock is not self:
-                return
-
-            self.press = None
-            DraggableRectangle.lock = None
-
-            # turn off the rect animation property and reset the background
-            self.rect.set_animated(False)
-            self.background = None
-
-            # redraw the full figure
-            self.rect.figure.canvas.draw()
-
-        def disconnect(self):
-            'disconnect all the stored connection ids'
-            self.rect.figure.canvas.mpl_disconnect(self.cidpress)
-            self.rect.figure.canvas.mpl_disconnect(self.cidrelease)
-            self.rect.figure.canvas.mpl_disconnect(self.cidmotion)
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    rects = ax.bar(range(10), 20*np.random.rand(10))
-    drs = []
-    for rect in rects:
-        dr = DraggableRectangle(rect)
-        dr.connect()
-        drs.append(dr)
-
-    plt.show()
-
-
-.. _enter-leave-events:
-
-Mouse enter and leave
-======================
-
-If you want to be notified when the mouse enters or leaves a figure or
-axes, you can connect to the figure/axes enter/leave events.  Here is
-a simple example that changes the colors of the axes and figure
-background that the mouse is over::
-
-    """
-    Illustrate the figure and axes enter and leave events by changing the
-    frame colors on enter and leave
-    """
-    import matplotlib.pyplot as plt
-
-    def enter_axes(event):
-        print 'enter_axes', event.inaxes
-        event.inaxes.patch.set_facecolor('yellow')
-        event.canvas.draw()
-
-    def leave_axes(event):
-        print 'leave_axes', event.inaxes
-        event.inaxes.patch.set_facecolor('white')
-        event.canvas.draw()
-
-    def enter_figure(event):
-        print 'enter_figure', event.canvas.figure
-        event.canvas.figure.patch.set_facecolor('red')
-        event.canvas.draw()
-
-    def leave_figure(event):
-        print 'leave_figure', event.canvas.figure
-        event.canvas.figure.patch.set_facecolor('grey')
-        event.canvas.draw()
-
-    fig1 = plt.figure()
-    fig1.suptitle('mouse hover over figure or axes to trigger events')
-    ax1 = fig1.add_subplot(211)
-    ax2 = fig1.add_subplot(212)
-
-    fig1.canvas.mpl_connect('figure_enter_event', enter_figure)
-    fig1.canvas.mpl_connect('figure_leave_event', leave_figure)
-    fig1.canvas.mpl_connect('axes_enter_event', enter_axes)
-    fig1.canvas.mpl_connect('axes_leave_event', leave_axes)
-
-    fig2 = plt.figure()
-    fig2.suptitle('mouse hover over figure or axes to trigger events')
-    ax1 = fig2.add_subplot(211)
-    ax2 = fig2.add_subplot(212)
-
-    fig2.canvas.mpl_connect('figure_enter_event', enter_figure)
-    fig2.canvas.mpl_connect('figure_leave_event', leave_figure)
-    fig2.canvas.mpl_connect('axes_enter_event', enter_axes)
-    fig2.canvas.mpl_connect('axes_leave_event', leave_axes)
-
-    plt.show()
-
-
-
-.. _object-picking:
-
-Object picking
-==============
-
-You can enable picking by setting the ``picker`` property of an
-:class:`~matplotlib.artist.Artist` (e.g., a matplotlib
-:class:`~matplotlib.lines.Line2D`, :class:`~matplotlib.text.Text`,
-:class:`~matplotlib.patches.Patch`, :class:`~matplotlib.patches.Polygon`,
-:class:`~matplotlib.patches.AxesImage`, etc...)
-
-There are a variety of meanings of the ``picker`` property:
-
-    ``None``
-	picking is disabled for this artist (default)
-
-    ``boolean``
-	if True then picking will be enabled and the artist will fire a
-	pick event if the mouse event is over the artist
-
-    ``float``
-	if picker is a number it is interpreted as an epsilon tolerance in
-	points and the the artist will fire off an event if its data is
-	within epsilon of the mouse event.  For some artists like lines
-	and patch collections, the artist may provide additional data to
-	the pick event that is generated, e.g., the indices of the data
-	within epsilon of the pick event.
-
-    ``function``
-	if picker is callable, it is a user supplied function which
-	determines whether the artist is hit by the mouse event.  The
-	signature is ``hit, props = picker(artist, mouseevent)`` to
-	determine the hit test.  If the mouse event is over the artist,
-	return ``hit=True`` and props is a dictionary of properties you
-	want added to the :class:`~matplotlib.backend_bases.PickEvent`
-	attributes
-
-
-After you have enabled an artist for picking by setting the ``picker``
-property, you need to connect to the figure canvas pick_event to get
-pick callbacks on mouse press events.  e.g.::
-
-    def pick_handler(event):
-        mouseevent = event.mouseevent
-        artist = event.artist
-        # now do something with this...
-
-
-The :class:`~matplotlib.backend_bases.PickEvent` which is passed to
-your callback is always fired with two attributes:
-
-    ``mouseevent`` the mouse event that generate the pick event.  The
-	mouse event in turn has attributes like ``x`` and ``y`` (the
-	coords in display space, e.g., pixels from left, bottom) and xdata,
-	ydata (the coords in data space).  Additionally, you can get
-	information about which buttons were pressed, which keys were
-	pressed, which :class:`~matplotlib.axes.Axes` the mouse is over,
-	etc.  See :class:`matplotlib.backend_bases.MouseEvent` for
-	details.
-
-    ``artist``
-	the :class:`~matplotlib.artist.Artist` that generated the pick
-	event.
-
-Additionally, certain artists like :class:`~matplotlib.lines.Line2D`
-and :class:`~matplotlib.collections.PatchCollection` may attach
-additional meta data like the indices into the data that meet the
-picker criteria (e.g., all the points in the line that are within the
-specified epsilon tolerance)
-
-Simple picking example
-----------------------
-
-In the example below, we set the line picker property to a scalar, so
-it represents a tolerance in points (72 points per inch).  The onpick
-callback function will be called when the pick event it within the
-tolerance distance from the line, and has the indices of the data
-vertices that are within the pick distance tolerance.  Our onpick
-callback function simply prints the data that are under the pick
-location.  Different matplotlib Artists can attach different data to
-the PickEvent.  For example, ``Line2D`` attaches the ind property,
-which are the indices into the line data under the pick point.  See
-:meth:`~matplotlib.lines.Line2D.pick` for details on the ``PickEvent``
-properties of the line.  Here is the code::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.set_title('click on points')
-
-    line, = ax.plot(np.random.rand(100), 'o', picker=5)  # 5 points tolerance
-
-    def onpick(event):
-        thisline = event.artist
-        xdata = thisline.get_xdata()
-        ydata = thisline.get_ydata()
-        ind = event.ind
-        print 'onpick points:', zip(xdata[ind], ydata[ind])
-
-    fig.canvas.mpl_connect('pick_event', onpick)
-
-    plt.show()
-
-
-Picking exercise
-----------------
-
-Create a data set of 100 arrays of 1000 Gaussian random numbers and
-compute the sample mean and standard deviation of each of them (hint:
-numpy arrays have a mean and std method) and make a xy marker plot of
-the 100 means vs the 100 standard deviations.  Connect the line
-created by the plot command to the pick event, and plot the original
-time series of the data that generated the clicked on points.  If more
-than one point is within the tolerance of the clicked on point, you
-can use multiple subplots to plot the multiple time series.
-
-Exercise solution::
-
-    """
-    compute the mean and stddev of 100 data sets and plot mean vs stddev.
-    When you click on one of the mu, sigma points, plot the raw data from
-    the dataset that generated the mean and stddev
-    """
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    X = np.random.rand(100, 1000)
-    xs = np.mean(X, axis=1)
-    ys = np.std(X, axis=1)
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.set_title('click on point to plot time series')
-    line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
-
-
-    def onpick(event):
-
-        if event.artist!=line: return True
-
-        N = len(event.ind)
-        if not N: return True
-
-
-        figi = plt.figure()
-        for subplotnum, dataind in enumerate(event.ind):
-            ax = figi.add_subplot(N,1,subplotnum+1)
-            ax.plot(X[dataind])
-            ax.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind], ys[dataind]),
-                    transform=ax.transAxes, va='top')
-            ax.set_ylim(-0.5, 1.5)
-        figi.show()
-        return True
-
-    fig.canvas.mpl_connect('pick_event', onpick)
-
-    plt.show()
diff --git a/doc/users/faq.rst b/doc/users/faq.rst
new file mode 100644
index 000000000000..b08bd75cee4e
--- /dev/null
+++ b/doc/users/faq.rst
@@ -0,0 +1,392 @@
+.. _howto-faq:
+
+.. redirect-from:: /faq/howto_faq
+.. redirect-from:: /users/faq/howto_faq
+.. redirect-from:: /faq/index
+
+==========================
+Frequently Asked Questions
+==========================
+
+.. _how-do-no-figure:
+
+I don't see a figure window
+---------------------------
+
+Please see :ref:`figures-not-showing`.
+
+.. _how-to-too-many-ticks:
+
+Why do I have so many ticks, and/or why are they out of order?
+--------------------------------------------------------------
+
+One common cause for unexpected tick behavior is passing a *list of strings
+instead of numbers or datetime objects*. This can easily happen without notice
+when reading in a comma-delimited text file. Matplotlib treats lists of strings
+as *categorical* variables
+(:doc:`/gallery/lines_bars_and_markers/categorical_variables`), and by default
+puts one tick per category, and plots them in the order in which they are
+supplied.
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots(1, 2, layout='constrained', figsize=(6, 2))
+
+    ax[0].set_title('Ticks seem out of order / misplaced')
+    x = ['5', '20', '1', '9']  # strings
+    y = [5, 20, 1, 9]
+    ax[0].plot(x, y, 'd')
+    ax[0].tick_params(axis='x', labelcolor='red', labelsize=14)
+
+    ax[1].set_title('Many ticks')
+    x = [str(xx) for xx in np.arange(100)]  # strings
+    y = np.arange(100)
+    ax[1].plot(x, y)
+    ax[1].tick_params(axis='x', labelcolor='red', labelsize=14)
+
+The solution is to convert the list of strings to numbers or
+datetime objects (often ``np.asarray(numeric_strings, dtype='float')`` or
+``np.asarray(datetime_strings, dtype='datetime64[s]')``).
+
+For more information see :doc:`/gallery/ticks/ticks_too_many`.
+
+.. _howto-determine-artist-extent:
+
+Determine the extent of Artists in the Figure
+---------------------------------------------
+
+Sometimes we want to know the extent of an Artist.  Matplotlib `.Artist` objects
+have a method `.Artist.get_window_extent` that will usually return the extent of
+the artist in pixels.  However, some artists, in particular text, must be
+rendered at least once before their extent is known.  Matplotlib supplies
+`.Figure.draw_without_rendering`, which should be called before calling
+``get_window_extent``.
+
+.. _howto-figure-empty:
+
+Check whether a figure is empty
+-------------------------------
+Empty can actually mean different things. Does the figure contain any artists?
+Does a figure with an empty `~.axes.Axes` still count as empty? Is the figure
+empty if it was rendered pure white (there may be artists present, but they
+could be outside the drawing area or transparent)?
+
+For the purpose here, we define empty as: "The figure does not contain any
+artists except it's background patch." The exception for the background is
+necessary, because by default every figure contains a `.Rectangle` as it's
+background patch. This definition could be checked via::
+
+    def is_empty(figure):
+        """
+        Return whether the figure contains no Artists (other than the default
+        background patch).
+        """
+        contained_artists = figure.get_children()
+        return len(contained_artists) <= 1
+
+We've decided not to include this as a figure method because this is only one
+way of defining empty, and checking the above is only rarely necessary.
+Usually the user or program handling the figure know if they have added
+something to the figure.
+
+The only reliable way to check whether a figure would render empty is to
+actually perform such a rendering and inspect the result.
+
+.. _howto-findobj:
+
+Find all objects in a figure of a certain type
+----------------------------------------------
+
+Every Matplotlib artist (see :ref:`artists_tutorial`) has a method
+called :meth:`~matplotlib.artist.Artist.findobj` that can be used to
+recursively search the artist for any artists it may contain that meet
+some criteria (e.g., match all :class:`~matplotlib.lines.Line2D`
+instances or match some arbitrary filter function).  For example, the
+following snippet finds every object in the figure which has a
+``set_color`` property and makes the object blue::
+
+    def myfunc(x):
+        return hasattr(x, 'set_color')
+
+    for o in fig.findobj(myfunc):
+        o.set_color('blue')
+
+You can also filter on class instances::
+
+    import matplotlib.text as text
+    for o in fig.findobj(text.Text):
+        o.set_fontstyle('italic')
+
+.. _howto-suppress_offset:
+
+Prevent ticklabels from having an offset
+----------------------------------------
+The default formatter will use an offset to reduce
+the length of the ticklabels.  To turn this feature
+off on a per-axis basis::
+
+   ax.xaxis.get_major_formatter().set_useOffset(False)
+
+set :rc:`axes.formatter.useoffset`, or use a different
+formatter.  See :mod:`~matplotlib.ticker` for details.
+
+.. _howto-transparent:
+
+Save transparent figures
+------------------------
+
+The :meth:`~matplotlib.pyplot.savefig` command has a keyword argument
+*transparent* which, if 'True', will make the figure and axes
+backgrounds transparent when saving, but will not affect the displayed
+image on the screen.
+
+If you need finer grained control, e.g., you do not want full transparency
+or you want to affect the screen displayed version as well, you can set
+the alpha properties directly.  The figure has a
+:class:`~matplotlib.patches.Rectangle` instance called *patch*
+and the axes has a Rectangle instance called *patch*.  You can set
+any property on them directly (*facecolor*, *edgecolor*, *linewidth*,
+*linestyle*, *alpha*).  e.g.::
+
+    fig = plt.figure()
+    fig.patch.set_alpha(0.5)
+    ax = fig.add_subplot(111)
+    ax.patch.set_alpha(0.5)
+
+If you need *all* the figure elements to be transparent, there is
+currently no global alpha setting, but you can set the alpha channel
+on individual elements, e.g.::
+
+   ax.plot(x, y, alpha=0.5)
+   ax.set_xlabel('volts', alpha=0.5)
+
+.. _howto-multipage:
+
+Save multiple plots to one pdf file
+-----------------------------------
+
+Many image file formats can only have one image per file, but some formats
+support multi-page files.  Currently, Matplotlib only provides multi-page
+output to pdf files, using either the pdf or pgf backends, via the
+`.backend_pdf.PdfPages` and `.backend_pgf.PdfPages` classes.
+
+.. _howto-auto-adjust:
+
+Make room for tick labels
+-------------------------
+
+By default, Matplotlib uses fixed percentage margins around subplots. This can
+lead to labels overlapping or being cut off at the figure boundary. There are
+multiple ways to fix this:
+
+- Manually adapt the subplot parameters using `.Figure.subplots_adjust` /
+  `.pyplot.subplots_adjust`.
+- Use one of the automatic layout mechanisms:
+
+  - constrained layout (:ref:`constrainedlayout_guide`)
+  - tight layout (:ref:`tight_layout_guide`)
+
+- Calculate good values from the size of the plot elements yourself
+  (:doc:`/gallery/subplots_axes_and_figures/auto_subplots_adjust`)
+
+.. _howto-align-label:
+
+Align my ylabels across multiple subplots
+-----------------------------------------
+
+If you have multiple subplots over one another, and the y data have
+different scales, you can often get ylabels that do not align
+vertically across the multiple subplots, which can be unattractive.
+By default, Matplotlib positions the x location of the ylabel so that
+it does not overlap any of the y ticks.  You can override this default
+behavior by specifying the coordinates of the label. To learn how, see
+:doc:`/gallery/subplots_axes_and_figures/align_labels_demo`
+
+.. _howto-set-zorder:
+
+Control the draw order of plot elements
+---------------------------------------
+
+The draw order of plot elements, and thus which elements will be on top, is
+determined by the `~.Artist.set_zorder` property.
+See :doc:`/gallery/misc/zorder_demo` for a detailed description.
+
+.. _howto-axis-equal:
+
+Make the aspect ratio for plots equal
+-------------------------------------
+
+The Axes property :meth:`~matplotlib.axes.Axes.set_aspect` controls the
+aspect ratio of the axes.  You can set it to be 'auto', 'equal', or
+some ratio which controls the ratio::
+
+  ax = fig.add_subplot(111, aspect='equal')
+
+.. only:: html
+
+    See :doc:`/gallery/subplots_axes_and_figures/axis_equal_demo` for a
+    complete example.
+
+.. _howto-twoscale:
+
+Draw multiple y-axis scales
+---------------------------
+
+A frequent request is to have two scales for the left and right
+y-axis, which is possible using :func:`~matplotlib.pyplot.twinx` (more
+than two scales are not currently supported, though it is on the wish
+list).  This works pretty well, though there are some quirks when you
+are trying to interactively pan and zoom, because both scales do not get
+the signals.
+
+The approach uses :func:`~matplotlib.pyplot.twinx` (and its sister
+:func:`~matplotlib.pyplot.twiny`) to use *2 different axes*,
+turning the axes rectangular frame off on the 2nd axes to keep it from
+obscuring the first, and manually setting the tick locs and labels as
+desired.  You can use separate ``matplotlib.ticker`` formatters and
+locators as desired because the two axes are independent.
+
+.. plot::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    fig = plt.figure()
+    ax1 = fig.add_subplot(111)
+    t = np.arange(0.01, 10.0, 0.01)
+    s1 = np.exp(t)
+    ax1.plot(t, s1, 'b-')
+    ax1.set_xlabel('time (s)')
+    ax1.set_ylabel('exp')
+
+    ax2 = ax1.twinx()
+    s2 = np.sin(2*np.pi*t)
+    ax2.plot(t, s2, 'r.')
+    ax2.set_ylabel('sin')
+    plt.show()
+
+
+.. only:: html
+
+    See :doc:`/gallery/subplots_axes_and_figures/two_scales` for a
+    complete example.
+
+.. _howto-batch:
+
+Generate images without having a window appear
+----------------------------------------------
+
+Simply do not call `~matplotlib.pyplot.show`, and directly save the figure to
+the desired format::
+
+    import matplotlib.pyplot as plt
+    plt.plot([1, 2, 3])
+    plt.savefig('myfig.png')
+    plt.close()
+
+.. seealso::
+
+    :doc:`/gallery/user_interfaces/web_application_server_sgskip` for
+    information about running matplotlib inside of a web application.
+
+.. _how-to-threads:
+
+Work with threads
+-----------------
+
+Matplotlib is not thread-safe: in fact, there are known race conditions
+that affect certain artists.  Hence, if you work with threads, it is your
+responsibility to set up the proper locks to serialize access to Matplotlib
+artists.
+
+You may be able to work on separate figures from separate threads.  However,
+you must in that case use a *non-interactive backend* (typically Agg), because
+most GUI backends *require* being run from the main thread as well.
+
+.. _reporting-problems:
+.. _get-help:
+
+Get help
+--------
+
+There are a number of good resources for getting help with Matplotlib.
+There is a good chance your question has already been asked:
+
+- The `mailing list archive
+  <https://discourse.matplotlib.org/c/community/matplotlib-users/6>`_.
+
+- `GitHub issues <https://github.com/matplotlib/matplotlib/issues>`_.
+
+- Stackoverflow questions tagged `matplotlib
+  <https://stackoverflow.com/questions/tagged/matplotlib>`_.
+
+If you are unable to find an answer to your question through search, please
+provide the following information in your e-mail to the `mailing list
+<https://mail.python.org/mailman/listinfo/matplotlib-users>`_:
+
+* Your operating system (Linux/Unix users: post the output of ``uname -a``).
+
+* Matplotlib version::
+
+     python -c "import matplotlib; print(matplotlib.__version__)"
+
+* Where you obtained Matplotlib (e.g., your Linux distribution's packages,
+  GitHub, PyPI, or `Anaconda <https://www.anaconda.com/>`_).
+
+* Any customizations to your ``matplotlibrc`` file (see
+  :ref:`customizing`).
+
+* If the problem is reproducible, please try to provide a *minimal*, standalone
+  Python script that demonstrates the problem.  This is *the* critical step.
+  If you can't post a piece of code that we can run and reproduce your error,
+  the chances of getting help are significantly diminished.  Very often, the
+  mere act of trying to minimize your code to the smallest bit that produces
+  the error will help you find a bug in *your* code that is causing the
+  problem.
+
+* Matplotlib provides debugging information through the `logging` library, and
+  a helper function to set the logging level: one can call ::
+
+    plt.set_loglevel("info")  # or "debug" for more info
+
+  to obtain this debugging information.
+
+  Standard functions from the `logging` module are also applicable; e.g. one
+  could call ``logging.basicConfig(level="DEBUG")`` even before importing
+  Matplotlib (this is in particular necessary to get the logging info emitted
+  during Matplotlib's import), or attach a custom handler to the "matplotlib"
+  logger.  This may be useful if you use a custom logging configuration.
+
+If you compiled Matplotlib yourself, please also provide:
+
+* your compiler version -- e.g., ``gcc --version``.
+* the output of::
+
+     pip install --verbose
+
+  The beginning of the build output contains lots of details about your
+  platform that are useful for the Matplotlib developers to diagnose your
+  problem.
+
+If you compiled an older version of Matplotlib using the pre-Meson build system, instead
+provide:
+
+* any changes you have made to ``setup.py``/``setupext.py``,
+* the output of::
+
+     rm -rf build
+     python setup.py build
+
+Including this information in your first e-mail to the mailing list
+will save a lot of time.
+
+You will likely get a faster response writing to the mailing list than
+filing a bug in the bug tracker.  Most developers check the bug
+tracker only periodically.  If your problem has been determined to be
+a bug and cannot be quickly solved, you may be asked to file a bug in
+the tracker so the issue doesn't get lost.
diff --git a/doc/users/generate_credits.py b/doc/users/generate_credits.py
new file mode 100755
index 000000000000..265d921a20aa
--- /dev/null
+++ b/doc/users/generate_credits.py
@@ -0,0 +1,89 @@
+#!/usr/bin/env python
+#
+# This script generates credits.rst with an up-to-date list of contributors
+# to the matplotlib github repository.
+
+from collections import Counter
+import locale
+import re
+import subprocess
+
+TEMPLATE = """.. Note: This file is auto-generated using generate_credits.py
+
+.. _credits:
+
+*******
+Credits
+*******
+
+
+Matplotlib was written by John D. Hunter, with contributions from an
+ever-increasing number of users and developers.  The current lead developer is
+Thomas A. Caswell, who is assisted by many `active developers
+<https://www.openhub.net/p/matplotlib/contributors>`_.
+Please also see our instructions on :doc:`/citing`.
+
+The following is a list of contributors extracted from the
+git revision control history of the project:
+
+{contributors}
+
+Some earlier contributors not included above are (with apologies
+to any we have missed):
+
+Charles Twardy,
+Gary Ruben,
+John Gill,
+David Moore,
+Paul Barrett,
+Jared Wahlstrand,
+Jim Benson,
+Paul Mcguire,
+Andrew Dalke,
+Nadia Dencheva,
+Baptiste Carvello,
+Sigve Tjoraand,
+Ted Drain,
+James Amundson,
+Daishi Harada,
+Nicolas Young,
+Paul Kienzle,
+John Porter,
+and Jonathon Taylor.
+
+Thanks to Tony Yu for the original logo design.
+
+We also thank all who have reported bugs, commented on
+proposed changes, or otherwise contributed to Matplotlib's
+development and usefulness.
+"""
+
+
+def check_duplicates():
+    text = subprocess.check_output(['git', 'shortlog', '--summary', '--email'])
+    lines = text.decode('utf8').split('\n')
+    contributors = [line.split('\t', 1)[1].strip() for line in lines if line]
+    emails = [re.match('.*<(.*)>', line).group(1) for line in contributors]
+    email_counter = Counter(emails)
+
+    if email_counter.most_common(1)[0][1] > 1:
+        print('DUPLICATE CHECK: The following email addresses are used with '
+              'more than one name.\nConsider adding them to .mailmap.\n')
+        for email, count in email_counter.items():
+            if count > 1:
+                print('{}\n{}'.format(
+                    email, '\n'.join(l for l in lines if email in l)))
+
+
+def generate_credits():
+    text = subprocess.check_output(['git', 'shortlog', '--summary'])
+    lines = text.decode('utf8').split('\n')
+    contributors = [line.split('\t', 1)[1].strip() for line in lines if line]
+    contributors.sort(key=locale.strxfrm)
+    with open('credits.rst', 'w') as f:
+        f.write(TEMPLATE.format(contributors=',\n'.join(contributors)))
+
+
+if __name__ == '__main__':
+    check_duplicates()
+    generate_credits()
diff --git a/doc/users/getting_started/index.rst b/doc/users/getting_started/index.rst
new file mode 100644
index 000000000000..ac896687979d
--- /dev/null
+++ b/doc/users/getting_started/index.rst
@@ -0,0 +1,55 @@
+Getting started
+===============
+
+Installation quick-start
+------------------------
+
+.. grid:: 1 1 2 2
+
+    .. grid-item::
+
+        Install using `pip <https://pypi.org/project/matplotlib>`__:
+
+        .. code-block:: bash
+
+            pip install matplotlib
+
+    .. grid-item::
+
+        Install using `conda <https://docs.continuum.io/anaconda/>`__:
+
+        .. code-block:: bash
+
+            conda install -c conda-forge matplotlib
+
+Further details are available in the :doc:`Installation Guide </install/index>`.
+
+
+Draw a first plot
+-----------------
+
+Here is a minimal example plot:
+
+.. plot::
+   :include-source:
+   :align: center
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   x = np.linspace(0, 2 * np.pi, 200)
+   y = np.sin(x)
+
+   fig, ax = plt.subplots()
+   ax.plot(x, y)
+   plt.show()
+
+If a plot does not show up please check :ref:`troubleshooting-faq`.
+
+Where to go next
+----------------
+
+- Check out :doc:`Plot types </plot_types/index>` to get an overview of the
+  types of plots you can create with Matplotlib.
+- Learn Matplotlib from the ground up in the :ref:`Quick-start guide
+  <quick_start>`.
diff --git a/doc/users/github_stats.rst b/doc/users/github_stats.rst
index 92de488b4380..de1f85004f09 100644
--- a/doc/users/github_stats.rst
+++ b/doc/users/github_stats.rst
@@ -1,1250 +1,182 @@
-
 .. _github-stats:
 
-Github stats
-============
+GitHub statistics for 3.10.1 (Feb 27, 2025)
+===========================================
 
-GitHub stats for 2013/07/31 - 2014/10/25 (tag: v1.3.0)
+GitHub statistics for 2024/12/14 (tag: v3.10.0) - 2025/02/27
 
 These lists are automatically generated, and may be incomplete or contain duplicates.
 
-The following 190 authors contributed 3221 commits.
+We closed 14 issues and merged 107 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/98?closed=1>`__
+
+The following 28 authors contributed 241 commits.
 
-* Adam Heck
-* Adrian Price-Whelan
-* Alex Loew
-* Alistair Muldal
-* Andrea Bedini
-* Andreas Wallner
-* Andrew Dawson
-* Andrew Merrill
+* Anselm Hahn
 * Antony Lee
-* anykraus
-* Arnaud Gardelein
-* arokem
-* Arpad Horvath
-* Aseem Bansal
-* aszilagyi
-* Behram Mistree
-* Ben Cohen
-* Ben Gamari
-* Ben Keller
-* Ben Root
-* Benjamin Reedlunn
-* blackw1ng
-* blah blah
-* Brandon Liu
-* Cameron Davidson-Pilon
-* captainwhippet
-* Carissa Brittain
-* Carwyn Pelley
-* chebee7i
-* Chris Beaumont
-* Chris G
-* Christian Brueffer
-* Christoph Gohlke
-* Christoph Hoffmann
-* Cimarron Mittelsteadt
-* CJ Carey
-* Damon McDougall
-* Daniel O'Connor
-* danielballan
-* Dara Adib
-* David Anderson
-* davidovitch
-* daydreamt
-* Dean Malmgren
-* Dmitry Lupyan
-* donald
-* DonaldSeo
-* Duncan Macleod
-* e-q
-* Elias Pipping
+* Ben Greiner
+* Chaoyi Hu
+* Christine P. Chai
+* dependabot[bot]
 * Elliott Sales de Andrade
-* Emil Mikulic
-* endolith
-* Eric Dill
-* Eric Firing
-* Erik Bray
-* Eugene Yurtsev
-* fardal
-* Federico Ariza
-* Felipe
-* Filipe
-* Francesco Montesano
-* Francis Colas
-* fvgoto
-* Geoffroy Billotey
-* grdlok
-* Gregory Ashton
-* Guillaume Gay
-* Gustavo Braganca
-* Hans Meine
-* Hans Moritz Günther
-* Ian Thomas
-* Jae-Joon Lee
-* Jake Vanderplas
-* JamesMakela
-* Jan Schulz
-* Jason Grout
-* Jason Miller
-* Jens Hedegaard Nielsen
-* Joe Kington
-* Joel B. Mohler
-* Jorrit Wronski
-* José Ricardo
-* Jouni K. Seppänen
-* jowr
-* Julian Taylor
-* JulianCienfuegos
-* Katy Huff
-* kcrisman
-* kelsiegr
-* Kevin Chan
-* Kevin Keating
-* khyox
-* Kimmo Palin
-* kramer65
-* Kristen M. Thyng
-* kshramt
-* Larry Bradley
-* Lennart Fricke
-* Leo Singer
-* Levi Kilcher
-* limtaesu
-* Loïc Séguin-C
-* Magnus Nord
-* Maksym P
-* Manuel GOACOLOU
-* Marcos Duarte
-* Marianne Corvellec
-* Markus Roth
-* marky
-* Martin Dengler
-* Martin Fitzpatrick
-* Martin Spacek
-* Martin Thoma
-* Masud Rahman
-* Matt Klein
-* Matt Terry
-* Matthew Brett
-* Matthias Bussonnier
-* Matthieu Caneill
-* Matěj Tý�
-* Michael
-* Michael Droettboom
-* Michiel de Hoon
-* Michka Popoff
-* Mikhail Korobov
-* MinRK
-* Nelle Varoquaux
-* Nic Eggert
-* Nicolas P. Rougier
-* Oliver Willekens
-* Patrick Marsh
-* Paul
-* Paul Hobson
-* Paul Ivanov
-* Per Parker
-* Peter Iannucci
-* Peter St. John
-* Peter Würtz
-* Phil Elson
-* Pierre Haessig
-* profholzer
-* Puneeth Chaganti
-* rahiel
-* Remi Rampin
-* rhoef
-* Richard Hattersley
-* Ricky
-* Robert Johansson
-* Rohan Walker
-* Roland Wirth
-* RutgerK
-* Ryan Blomberg
-* Ryan D'Souza
-* Ryan May
-* Scott Lasley
-* Scott Lawrence
-* Scott Stevenson
-* Sergey Kholodilov
-* sfroid
-* Silviu Tantos
-* Simon Gibbons
-* spiessbuerger
-* stahlous
-* Stefan Lehmann
-* Steven Silvester
-* switham
-* syngron
+* G.D. McBain
+* Greg Lucas
+* hannah
+* hu-xiaonan
+* Khushi_29
+* Khushikela29
+* KIU Shueng Chuan
+* Kyle Martin
+* Kyle Sunden
+* Lumberbot (aka Jack)
+* Manthan Nagvekar
+* musvaage
+* Nathan G. Wiseman
+* Oscar Gustafsson
+* Owl
+* Ruth Comer
+* saikarna913
+* Scott Shambaugh
 * Thomas A Caswell
-* Thomas Hisch
-* Thomas Robitaille
-* Till Stensitzki
-* Timo Vanwynsberghe
-* Tobias Megies
-* Todd Jennings
-* Tony S Yu
-* Tor Colvin
-* Trevor Bekolay
-* ugurthemaster
-* Vadim Markovtsev
-* vagrant
-* Valentin Haenel
-* vbr
-* Viktor Kerkez
-* Vlad Seghete
-* Werner F Bruhin
-* Wieland Hoffmann
-* William Manley
-* xbtsw
-* Yaron de Leeuw
+* Tim Hoffmann
+* Trygve Magnus Ræder
+
+GitHub issues and pull requests:
+
+Pull Requests (107):
+
+* :ghpull:`29682`: Backport PR #29680 on branch v3.10.x (DOC: fix the bug of examples\event_handling)
+* :ghpull:`29683`: Backport PR #29670 on branch v3.10.x (DOC: change marginal scatter plot to subplot_mosaic)
+* :ghpull:`29680`: DOC: fix the bug of examples\event_handling
+* :ghpull:`29676`: Backport PR #29666 on branch v3.10.x (DOC: Revising the Figure Legend Demo Example)
+* :ghpull:`29675`: Backport PR #29662 on branch v3.10.x (DOC: Move Colorbar parameters to __init__)
+* :ghpull:`29662`: DOC: Move Colorbar parameters to __init__
+* :ghpull:`29668`: Backport PR #29667 on branch v3.10.x (DOC: remove redundant gridspec from example)
+* :ghpull:`29664`: Backport PR #29642 on branch v3.10.x (DOC: Add docstrings to get_usetex and set_usetex in ticker.py)
+* :ghpull:`29663`: Backport PR #29075 on branch v3.10.x (Add xaxis and yaxis attributes to Axes docs)
+* :ghpull:`29642`: DOC: Add docstrings to get_usetex and set_usetex in ticker.py
+* :ghpull:`29661`: Backport PR #29652 on branch v3.10.x (Reorder kwonly kwargs in Colorbar & related docs.)
+* :ghpull:`29652`: Reorder kwonly kwargs in Colorbar & related docs.
+* :ghpull:`29075`: Add xaxis and yaxis attributes to Axes docs
+* :ghpull:`29656`: Backport PR #28437 on branch v3.10.x (Respect array alpha with interpolation_stage='rgba' in _Imagebase::_make_image)
+* :ghpull:`29448`: Backport PR #29362 on branch v3.10.0-doc (TYP: semantics of enums in stub files changed)
+* :ghpull:`28437`: Respect array alpha with interpolation_stage='rgba' in _Imagebase::_make_image
+* :ghpull:`29651`: Backport PR #29650 on branch v3.10.x (Copy-edit "interactive figures & async programming" guide.)
+* :ghpull:`29650`: Copy-edit "interactive figures & async programming" guide.
+* :ghpull:`29633`: Backport PR #29631 on branch v3.10.x (Add inline notebook to test data)
+* :ghpull:`29631`: Add inline notebook to test data
+* :ghpull:`29627`: Backport PR #29617 on branch v3.10.x (DOC: Add docstrings to matplotlib.cbook.GrouperView)
+* :ghpull:`29617`: DOC: Add docstrings to matplotlib.cbook.GrouperView
+* :ghpull:`29625`: Backport PR #29622 on branch v3.10.x (DOC: Move "Infinite lines" example from section "pyplot" to "Lines, bars and markers)
+* :ghpull:`29623`: Backport PR #29621 on branch v3.10.x (DOC: Cleanup text rotation in data coordinates example)
+* :ghpull:`29619`: Backport PR #29616 on branch v3.10.x (FIX: Fix unit example so that we can unpin numpy<2.1)
+* :ghpull:`29616`: FIX: Fix unit example so that we can unpin numpy<2.1
+* :ghpull:`29611`: Backport PR #29608 on branch v3.10.x (Remove md5 usage to prevent issues on FIPS enabled systems (closes #29603))
+* :ghpull:`29608`: Remove md5 usage to prevent issues on FIPS enabled systems (closes #29603)
+* :ghpull:`29609`: Backport PR #29607 on branch v3.10.x (Correct doc for axvline arg x which sets x not y)
+* :ghpull:`29604`: Backport PR #29601 on branch v3.10.x (DOC: Duplicate categorical values are mapped to the same position)
+* :ghpull:`29598`: Backport PR #29597 on branch v3.10.x (Fix typo in deprecation notes for 3.10.0)
+* :ghpull:`29591`: Backport PR #29585 on branch v3.10.x (DOC: Document that tight_layout may not converge)
+* :ghpull:`29585`: DOC: Document that tight_layout may not converge
+* :ghpull:`29587`: Backport PR #25801 on branch v3.10.x (Remove some examples from Userdemo)
+* :ghpull:`29577`: Backport PR #29576 on branch v3.10.x (Remove documentation for no-longer existent ContourSet attributes.)
+* :ghpull:`29576`: Remove documentation for no-longer existent ContourSet attributes.
+* :ghpull:`29530`: Bump the actions group with 5 updates
+* :ghpull:`29564`: Backport PR #29563 on branch v3.10.x (DOC: add color sequences reference example)
+* :ghpull:`29563`: DOC: add color sequences reference example
+* :ghpull:`29557`: Backport PR #29518: TST: Increase tolerance on more arches
+* :ghpull:`29555`: Backport PR #29546 on branch v3.10.x (FIX: pyplot.matshow figure handling)
+* :ghpull:`29546`: FIX: pyplot.matshow figure handling
+* :ghpull:`29518`: TST: Increase tolerance on more arches
+* :ghpull:`29547`: Backport PR #29543 on branch v3.10.x (DOC: Minor improvement on broken_barh())
+* :ghpull:`29538`: Backport PR #29536 on branch v3.10.x (Fix typo in solarized example plot.)
+* :ghpull:`29531`: Backport PR #29520 on branch v3.10.x (FIX: Correct variable name from _frame to _frames in PillowWriter class)
+* :ghpull:`29520`: FIX: Correct variable name from _frame to _frames in PillowWriter class
+* :ghpull:`29521`: Backport PR #29509 on branch v3.10.x (MNT: Discourage arrow())
+* :ghpull:`29509`: MNT: Discourage arrow()
+* :ghpull:`29514`: Backport PR #29511 on branch v3.10.x (DOC: Document the behavior of bar() for categorical x data)
+* :ghpull:`29513`: Backport PR #29471 on branch v3.10.x (Fix subplot docs)
+* :ghpull:`29511`: DOC: Document the behavior of bar() for categorical x data
+* :ghpull:`29471`: Fix subplot docs
+* :ghpull:`29500`: Backport PR #29478 on branch v3.10.x (DOC: Added blurb for colorizer objects in what's new for 3.10)
+* :ghpull:`29498`: Backport PR #29488 on branch v3.10.x (DOC: Update broken_barh example)
+* :ghpull:`29490`: Backport PR #29476 on branch v3.10.x (ci: Enable native ARM builders for wheels)
+* :ghpull:`29476`: ci: Enable native ARM builders for wheels
+* :ghpull:`29462`: Backport PR #29404 on branch v3.10.x (DOC: scales - built in options and custom scale usefulness)
+* :ghpull:`29459`: Backport PR #29456 on branch v3.10.x (DOC: Fix type descriptions in fill_between docstring)
+* :ghpull:`29404`: DOC: scales - built in options and custom scale usefulness
+* :ghpull:`29458`: Backport PR #29457 on branch v3.10.x (DOC: Use float instead for scalar for type descriptions in docstrings)
+* :ghpull:`29456`: DOC: Fix type descriptions in fill_between docstring
+* :ghpull:`29457`: DOC: Use float instead for scalar for type descriptions in docstrings
+* :ghpull:`29452`: Backport PR #29411 on branch v3.10.x (fix #29410 Modifying Axes' position also alters the original Bbox object used for initialization)
+* :ghpull:`29411`: fix #29410 Modifying Axes' position also alters the original Bbox object used for initialization
+* :ghpull:`29451`: Backport PR #29449 on branch v3.10.x (ci: Install libnotify4 on all Ubuntu)
+* :ghpull:`29449`: ci: Install libnotify4 on all Ubuntu
+* :ghpull:`29444`: Backport PR #29442 on branch v3.10.x (DOC: put section headings in 3.10 what's new)
+* :ghpull:`29436`: Backport PR #29407 on branch v3.10.x (DOC: Improve log scale example)
+* :ghpull:`29432`: Backport PR #29431 on branch v3.10.x (ft2font: Split named instance count from style flags)
+* :ghpull:`29431`: ft2font: Split named instance count from style flags
+* :ghpull:`29423`: Backport PR #29130 on branch v3.10.x (Raise warning if both c and facecolors are used in scatter plot (... and related improvements in the test suite).)
+* :ghpull:`29420`: Backport PR #29406 on branch v3.10.x (DOC: Update scales overview)
+* :ghpull:`29417`: Backport PR #29409 on branch v3.10.x (Fixed test case(test_axes.py) failing on ppc64le)
+* :ghpull:`29416`: Backport PR #29382 on branch v3.10.x (Fix title position for polar plots)
+* :ghpull:`29382`: Fix title position for polar plots
+* :ghpull:`29412`: Backport PR #29363 on branch v3.10.x (FIX: Add version gate to GTK4 calls when necessary)
+* :ghpull:`29409`: Fixed test case(test_axes.py) failing on ppc64le
+* :ghpull:`29363`: FIX: Add version gate to GTK4 calls when necessary
+* :ghpull:`29408`: Backport PR #29401 on branch v3.10.x (FIX: add errorbars with ``add_container``)
+* :ghpull:`29401`: FIX: add errorbars with ``add_container``
+* :ghpull:`29130`: Raise warning if both c and facecolors are used in scatter plot (... and related improvements in the test suite).
+* :ghpull:`29390`: Backport PR #29389 on branch v3.10.x (DOC: Minor improvements on VPacker, HPacker, PaddedBox docs)
+* :ghpull:`29389`: DOC: Minor improvements on VPacker, HPacker, PaddedBox docs
+* :ghpull:`29371`: Backport PR #29353 on branch v3.10.x (DOC: Improve module docs of matplotlib.scale)
+* :ghpull:`29361`: Backport PR #29355 on branch v3.10.x (Add QtCore.Slot() decorations to FigureCanvasQT)
+* :ghpull:`29369`: Backport PR #29362 on branch v3.10.x (TYP: semantics of enums in stub files changed)
+* :ghpull:`29353`: DOC: Improve module docs of matplotlib.scale
+* :ghpull:`29362`: TYP: semantics of enums in stub files changed
+* :ghpull:`29365`: Backport PR #29364 on branch v3.10.x (fix typo)
+* :ghpull:`29366`: Backport PR #29347 on branch v3.10.x (DOC: Explain parameters linthresh and linscale of symlog scale)
+* :ghpull:`29364`: fix typo
+* :ghpull:`29355`: Add QtCore.Slot() decorations to FigureCanvasQT
+* :ghpull:`29351`: Backport PR #29348 on branch v3.10.x (DOC: Cleanup scales examples)
+* :ghpull:`29336`: Backport PR #29328 on branch v3.10.x (Bump github/codeql-action from 3.27.6 to 3.27.9 in the actions group)
+* :ghpull:`29328`: Bump github/codeql-action from 3.27.6 to 3.27.9 in the actions group
+* :ghpull:`29330`: Backport PR #29321 on branch v3.10.x (DOC: List min. Python version for Matplotlib 3.10)
+* :ghpull:`29324`: Backport PR #29258 on branch v3.10.x (Adding font Size as default parameter)
+* :ghpull:`29326`: Backport PR #29323 on branch v3.10.x (DOC: Don't put quotes around coordinate system names)
+* :ghpull:`29323`: DOC: Don't put quotes around coordinate system names
+* :ghpull:`29258`: Adding font Size as default parameter
+* :ghpull:`29320`: Backport PR #29317 on branch v3.10.x (FIX: pass renderer through ``_auto_legend_data``)
+* :ghpull:`29317`: FIX: pass renderer through ``_auto_legend_data``
+* :ghpull:`29315`: Backport PR #29314 on branch v3.10.x (DOC: fix footnote in choosing colormaps guide)
+* :ghpull:`29309`: Backport PR #29308 on branch v3.10.x (Update cibuildwheel workflow)
+* :ghpull:`29310`: Backport PR #29292 on branch v3.10.x (Update dependencies.rst)
+* :ghpull:`29308`: Update cibuildwheel workflow
+
+Issues (14):
 
-We closed 459 issues and merged 579 pull requests;
-this is the full list (generated with the script 
-:file:`tools/github_stats.py`):
+* :ghissue:`28382`: [Bug]: interpolation_stage="rgba" does not respect array-alpha
+* :ghissue:`28780`: Doc build fails with numpy>=2.1.0
+* :ghissue:`29603`: [Bug]: Setting ``text.usetex=True`` in ``pyplot.rcParams`` Raises FIPS Compliance Errors
+* :ghissue:`29575`: [Doc]: QuadContourSet does not contain a collections attribute like stated in the manual
+* :ghissue:`29519`: [Bug]:  'PillowWriter' object has no attribute '_frame' shouldn't be  '_frames'?
+* :ghissue:`29507`: [Bug]: Duplicating the labels in the ``height``/``width`` argument in ``barh()``/``bar`` leads to undrawn bars
+* :ghissue:`29447`: [Doc]: ``subplot`` behavior is not same as the doc reads in 3.10(stable)
+* :ghissue:`29410`: [Bug]: Modifying Axes' position also alters the original Bbox object used for initialization
+* :ghissue:`29396`: [Bug]: Style flag errors trying to save figures as PDF with font Inter
+* :ghissue:`29381`: [Bug]: title position incorrect for polar plot
+* :ghissue:`29350`: [Bug]: Matplotlib causes segmentation fault when hovering mouse over graph
+* :ghissue:`25274`: [Bug]: .remove() on ErrorbarContainer object does not remove the corresponding item from the legend
+* :ghissue:`29202`: [Bug]: ``fontsize`` in tables not working
+* :ghissue:`29301`: [Bug]: Blank EPS output with legend and annotate
 
-Pull Requests (459):
 
-* :ghpull:`3716`: Ignore doc generated files
-* :ghpull:`3702`: Remove the check on path length over 18980 in Cairo backend
-* :ghpull:`3684`: Build failure on Launchpad
-* :ghpull:`3668`: [examples] pep8 fix E26\*
-* :ghpull:`3303`: Adding legend handler to PolyCollection and labels to stackplot
-* :ghpull:`3675`: Additional Warnings in docs build on travis after merge of decxx
-* :ghpull:`3630`: refactor ftface\_props example
-* :ghpull:`3671`: fix for #3669 Font issue without PyCXX
-* :ghpull:`3681`: use \_fast\_from\_codes\_and\_verts in transform code
-* :ghpull:`3678`: DOC/PEP8 : details related to PR #3433
-* :ghpull:`3677`: Rotation angle between 0 and 360.
-* :ghpull:`3674`: Silince UnicodeWarnings in tests
-* :ghpull:`3298`: Wedge not honouring specified angular range
-* :ghpull:`3351`: Update demo\_floating\_axes.py
-* :ghpull:`3448`: Fix scaling of custom markers [backport to 1.4.x]
-* :ghpull:`3485`: Reduce the use of XObjects in pdf backend [backport to 1.4.x]
-* :ghpull:`3672`: Python3 pep8 fixes
-* :ghpull:`3558`: Adds multiple histograms side-by-side example
-* :ghpull:`3665`: Remove usage of raw strides member in \_backend\_gdk.c
-* :ghpull:`3309`: Explicitly close read and write of Popen process (latex)
-* :ghpull:`3662`: Make all classes new-style.
-* :ghpull:`3646`: Remove PyCXX dependency for core extension modules
-* :ghpull:`3664`: [examples] pep8 fix e251 e27\*
-* :ghpull:`3294`: fix typo in figlegend\_demo.py
-* :ghpull:`3666`: remove print from test
-* :ghpull:`3638`: MNT : slight refactoring of Gcf
-* :ghpull:`3387`: include PySide in qt4agg backend check
-* :ghpull:`3597`: BUG/TST : skip example pep8 if don't know source path
-* :ghpull:`3661`: Numpy 1.6 fixes
-* :ghpull:`3635`: fix pep8 error classes e20[12] and e22[12] in examples
-* :ghpull:`3547`: Don't use deprecated numpy APIs
-* :ghpull:`3628`: Document auto-init behavior of colors.Normalize and cm.ScalarMappable.
-* :ghpull:`3640`: figure.max\_num\_figures was renamed to figure.max\_open\_warning.
-* :ghpull:`3650`: Typo fixes. [backport to doc branch]
-* :ghpull:`3642`: TST : know-fail shadding tests
-* :ghpull:`3619`: PatchCollection: pass other kwargs for match\_original=True
-* :ghpull:`3629`: examples: fix pep8 error class E211
-* :ghpull:`3515`: examples: fix pep8 error classes E111 and E113
-* :ghpull:`3625`: animate\_decay.py example code is less complicated
-* :ghpull:`3613`: Fix problem with legend if data has NaN's [backport to 1.4.x]
-* :ghpull:`3611`: Fix spelling error
-* :ghpull:`3600`: BUG: now only set 'marker' and 'color' attribute of fliers in boxplots
-* :ghpull:`3594`: Unicode decode error [backport to 1.4.x]
-* :ghpull:`3595`: Some small doc fixes only relevant on the master branch
-* :ghpull:`3291`: Lightsource enhancements
-* :ghpull:`3578`: Fixes test to assert instead of print
-* :ghpull:`3575`: Supports locale-specified encoding for rcfile.
-* :ghpull:`3556`: copy/paste corrections in test\_backend\_qt5
-* :ghpull:`3545`: Provide an informative error message if something goes wrong in setfont [backport to 1.4.x]
-* :ghpull:`3369`: Added legend.framealpha to rcParams, as mentioned in axes.legend docstring
-* :ghpull:`3510`: Fix setupext [backport to 1.4.x]
-* :ghpull:`3513`: examples: fully automated fixing of E30 pep8 errors
-* :ghpull:`3507`: general pep8 fixes 
-* :ghpull:`3506`: Named colors example, figure size correction [backport to 1.4.0-doc]
-* :ghpull:`3501`: Bugfix for text.xytext property
-* :ghpull:`3376`: Move widget.{get,set}\_active to AxisWidget.
-* :ghpull:`3419`: Better repr for Bboxes.
-* :ghpull:`3474`: call set cursor on zoom/pan toggle [backpont to 1.4.x]
-* :ghpull:`3425`: Pep8ify examples
-* :ghpull:`3477`: Better check for required dependency libpng
-* :ghpull:`2900`: Remove no-longer-necessary KnownFail for python 3.2.
-* :ghpull:`3467`: Bugfix in mlab for strided views of np.arrays [backport to 1.4.x]
-* :ghpull:`3469`: Fix handling of getSaveFileName to be consistent [backport to 1.4.x]
-* :ghpull:`3384`: Test marker styles
-* :ghpull:`3457`: Add Qt5Agg to backends in matplotlibrc.template.
-* :ghpull:`3438`: Get rid of unused pre python 2.6 code in doc make.py
-* :ghpull:`3432`: Update whats\_new.rst
-* :ghpull:`3282`: Catch warning thrown in Mollweide projection.
-* :ghpull:`2635`: Crash on saving figure if text.usetex is True
-* :ghpull:`3241`: Cast to integer to get rid of numpy warning
-* :ghpull:`3244`: Filter warnings in rcparams test (and others)
-* :ghpull:`3378`: BUG: Fixes custom path marker sizing for issue #1980
-* :ghpull:`3397`: Install guide tweaks
-* :ghpull:`3394`: DOC : add note about np.matrix and pandas objects
-* :ghpull:`3390`: Move stylelib directory to mpl-data
-* :ghpull:`3349`: DOC : added folders for api\_changes and whats\_new
-* :ghpull:`3372`: DOC: Fixed the wording of the deprecation warning
-* :ghpull:`3359`: PEP8 conformity; removed outcommented code
-* :ghpull:`3287`: DOC: comprehensive rewrite for OSX binary install
-* :ghpull:`3262`: 1.4.0 RC1: --ftversion vs --version freetype version
-* :ghpull:`3322`: Fixed error with QSizePolicy
-* :ghpull:`3324`: Fix #3304.
-* :ghpull:`3323`: Replaced unicode() function by six.text\_type
-* :ghpull:`3194`: Annotate bbox darrow
-* :ghpull:`3284`: BUG : fix  \_reshape\_2D bug with [(n, 1), ..] input
-* :ghpull:`3296`: V1.4.x
-* :ghpull:`3235`: Silence some more warnings
-* :ghpull:`3250`: Fix WindowsError: [Error 32] The process cannot access the file
-* :ghpull:`3247`: Usage faq
-* :ghpull:`3257`: MRG: refactor and bugfixes for plot\_directive
-* :ghpull:`3238`: OSX install
-* :ghpull:`3269`: Upload artifacts only on main repository.
-* :ghpull:`3217`: Added some function arguments to the documentation for FuncAnimation
-* :ghpull:`3243`: Fixed backend workflow.
-* :ghpull:`3246`: Fix some hyperlinks in the documentation
-* :ghpull:`3004`: FAQ and unit/ still refers to nxutils
-* :ghpull:`3239`: Fix auto-closing in PolyCollection
-* :ghpull:`3193`: Fix plot directive when used with multiple options.
-* :ghpull:`3236`: Test PEP8 stuff in separate Travis build.
-* :ghpull:`3188`: Np error patch
-* :ghpull:`3154`: whitelist mpl\_toolkits tests
-* :ghpull:`3230`: DOC : added note about useoffset rcparam
-* :ghpull:`3228`: DOC : top\_level doc-string clean up
-* :ghpull:`3190`: Adding two new styles to mplstyles
-* :ghpull:`3215`: Close files in animation to silence some warning in the test suite on python3 
-* :ghpull:`3237`: Fix Collection3D. Fixes legend for scatter3d
-* :ghpull:`3233`: Update numpy version in setup.py
-* :ghpull:`3227`: Whats new cleaning
-* :ghpull:`3224`: Fix lots of warnings in docs/Examples that crash
-* :ghpull:`3229`: DEP : bump min numpy to 1.6
-* :ghpull:`3222`: add reduce to the list of imports from six.moves
-* :ghpull:`3126`: insertion of Annotation class docs into annotate docstring broken
-* :ghpull:`3221`: Fixes #3219 by ignoring pep8 noncomplicant auto-generated file.
-* :ghpull:`2227`: Refactor of top-level doc/README.rst
-* :ghpull:`3211`: Mplot3d/depthshade
-* :ghpull:`3184`: DOC : added warning to doc of get\_window\_extent
-* :ghpull:`3165`: Bug restore boxplot defaults
-* :ghpull:`3207`: Fix memory leak in tostring\_rgba\_minimize(). (#3197)
-* :ghpull:`3210`: Fix PEP8 error.
-* :ghpull:`3203`: Make type1font.py work better on Python 3.x
-* :ghpull:`3155`: BUG : fix fetch of freetype version during build
-* :ghpull:`3192`: TST : drop 3.2, add 3.4
-* :ghpull:`3121`: Added 'PyQt4v2' to valid values for backend.qt4
-* :ghpull:`3167`: BUG : raise exception in subplot if num out of range
-* :ghpull:`3208`: Add missing import of unichr from six.
-* :ghpull:`3156`: DOC : added whats\_new entry for Qt5 backend
-* :ghpull:`3201`: Revert "[examples/api] autopep8 + use np.radians/np.degree where appropr...
-* :ghpull:`3200`: Revert "pep8ify more examples in examples/ + use np.radians/np.degrees"
-* :ghpull:`3174`: MNT : replace and deprecated qt4\_compat
-* :ghpull:`3112`: BUG : patches.Wedge.set\_radius set wrong attribute
-* :ghpull:`2952`: BUG : turned clipping off on pie chart components
-* :ghpull:`2951`: BUG/API : tweaked how AnchoredSizeBar handles font properties
-* :ghpull:`3157`: BLD : fix build on windows
-* :ghpull:`3189`: BUG: use unittest.mock for Python 3.3+
-* :ghpull:`3045`: Use less aggressive garbage collection
-* :ghpull:`3185`: DOC : added details about r/cstride in plot3d
-* :ghpull:`3182`: pep8ify more examples in examples/ + use np.radians/np.degrees
-* :ghpull:`3181`: [examples/api] autopep8 + use np.radians/np.degree where appropriate
-* :ghpull:`3163`: DOC : documented bottom kwarg of hist
-* :ghpull:`3180`: DOC: Fix order of parameters in ax.text docstring.
-* :ghpull:`3168`: DOC : add prominent doc about set\_useOffset
-* :ghpull:`3162`: BLD : made tornado an optional external package
-* :ghpull:`3169`: Update pyplot\_tutorial.rst
-* :ghpull:`3084`: Improving plt.hist documentation
-* :ghpull:`3160`: Glade tutorial branch fixed
-* :ghpull:`3008`: Nbagg backend
-* :ghpull:`3164`: fix bad pathing in whats\_new.rst
-* :ghpull:`3159`: BUG : fix qt4 backends
-* :ghpull:`3158`: backend\_pgf: Error message for missing latex executable (fix #3051)
-* :ghpull:`3125`: DOC : added annotation example to arrow docstring
-* :ghpull:`3149`: 3dquiver rebranch
-* :ghpull:`3141`: BUG: Fix 'TypeError: expected bytes, str found' on Python 3
-* :ghpull:`3072`: Implement backend for PyQt5 + modify Qt4 backends to use Qt5 module via shim
-* :ghpull:`3153`: Avoid floating point sensitivity in trisurf3d test
-* :ghpull:`3147`: Fix doc for sharey keyword in pyplot.subplots.
-* :ghpull:`3133`: Doc cleanup
-* :ghpull:`3110`: BUG: Add Figure.delcolorbar() to fully delete a colorbar
-* :ghpull:`3131`: DOC : sixify unichr
-* :ghpull:`3132`: DOC : added note about maintain ref to widgets
-* :ghpull:`2927`: BUG : don't use mutable objects as dictionary keys
-* :ghpull:`3122`: DOC: mention Anaconda; clean some old junk out of the FAQ
-* :ghpull:`3130`: Scatter set sizes whats new
-* :ghpull:`3127`: DOC : added inherited-members to Axes autodoc
-* :ghpull:`3128`: Axes aspect doc
-* :ghpull:`3103`: errorbar: fmt kwarg defaults to None; use 'none' to suppress plot call
-* :ghpull:`3123`: DOC : add documentation to Polygon methods
-* :ghpull:`3120`: typo fix
-* :ghpull:`3099`: New animation example (Joy Division's Unchained Love cover)
-* :ghpull:`3111`: bug fix: check the type of the 'key' of the two array 'r1' and 'r2'
-* :ghpull:`3108`: DOC : clarified doc of add\_artist
-* :ghpull:`3107`: Bug-fix for issue 3106
-* :ghpull:`3092`: Adds check that rgb sequence is of length 3
-* :ghpull:`3100`: Use autolim kwarg in add\_collection to prevent duplication of effort.
-* :ghpull:`3104`: BUG: in Spine.set\_position(), preserve most Axis info.
-* :ghpull:`3101`: Streamplot: clean up handling of masks, eliminate warning in test.
-* :ghpull:`3102`: Image: handle images with zero columns or rows.
-* :ghpull:`2929`: clip\_on documentation note/warning
-* :ghpull:`3067`: Fix for bug #3029.
-* :ghpull:`3078`: fix argument checks in axis/base.margins
-* :ghpull:`3089`: Fix log hist y-axis minimum with weighted data
-* :ghpull:`3087`: small error in comment
-* :ghpull:`2996`: Violin Plots
-* :ghpull:`3053`: symlog-scale: Remove asssert linscale >= 1.
-* :ghpull:`3077`: Invalidate font manager when rcParam family lists change.
-* :ghpull:`3081`: Points to pixels
-* :ghpull:`3080`: Minor fix to commit 24bc071
-* :ghpull:`3076`: Bug: backend\_pdf: UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2
-* :ghpull:`3074`: TST : force re-building of font-cache
-* :ghpull:`2874`: Fix for issue #2541 (revised)
-* :ghpull:`2662`: allow slice and fancy indexing to only show some markers 
-* :ghpull:`2855`: ENH Added the origin option to \`spy\`
-* :ghpull:`3022`: Updating PyQt version checks for v4.10+
-* :ghpull:`3015`: Date stem simplefix
-* :ghpull:`3017`: Do not provide (wrong) mtext instances for pre-layouted text blocks (fixes #3000)
-* :ghpull:`3009`: BUG: Showing a BboxImage can cause a segmentation fault
-* :ghpull:`3061`: Add Axes.add\_image() for consistency.
-* :ghpull:`3063`: Change EPD links to Enthought Canopy
-* :ghpull:`3050`: Animation example: rain drops
-* :ghpull:`3031`: avoid np.nan values in colors array returned by axes3d.\_shade\_colors
-* :ghpull:`3038`: BUG : expand x/y range in hexbin if singular
-* :ghpull:`3018`: Fix documentation of entropy function
-* :ghpull:`3036`: Unicode fixes
-* :ghpull:`2871`: Add a colorblind friendly heatmap.
-* :ghpull:`2879`: BLD : adjust min six version to 1.3
-* :ghpull:`3037`: DEP : removed levypdf from mlab
-* :ghpull:`3025`: mpl issue: #2974 - documentation corrected
-* :ghpull:`3030`: Fix minor typo in customisation docs
-* :ghpull:`2947`: Re-Generate legend, through apply\_callback/Apply
-* :ghpull:`3014`: BUG : improved input clean up in Axes.{h|v}line
-* :ghpull:`2771`: Fix font family lookup calculation
-* :ghpull:`2946`: remove .rect member (clashes with QWidget)
-* :ghpull:`2837`: EXP : turn of clipping in spine example
-* :ghpull:`2772`: BUG : instantiate fall-back writer
-* :ghpull:`2922`: ENH : add flag to box\_plot and bxp to manage (or not) xticks
-* :ghpull:`2950`: DOC : edits to optional dependencies
-* :ghpull:`2995`: Added 'interpolation\_none\_vs\_nearest' example, without .DS\_store files
-* :ghpull:`3002`: BUG/DOC : fix bad merge of INSTALL
-* :ghpull:`2993`: Avoid a null-pointer dereference in \_tri.cpp
-* :ghpull:`2994`: Minor fixes in \_macosx.m
-* :ghpull:`2997`: Disable copying of C++ classes with nontrivial destructors
-* :ghpull:`2992`: Remove a few dead assignments
-* :ghpull:`2991`: Silence some compiler warnings related to ft2font
-* :ghpull:`2989`: Don't call Py\_DECREF on null in \_ttconv.cpp
-* :ghpull:`2984`: small error in install faq
-* :ghpull:`2829`: (fix #2097) PGF: get fonts from fc-list, use builtin fonts for tests
-* :ghpull:`2913`: Allow :context: directive to take 'reset' option. Fixes #2892.
-* :ghpull:`2914`: Don't close figure if context and apply\_rcparams are both set.
-* :ghpull:`2983`: DOC/BUG : fixed sphinx markup
-* :ghpull:`2981`: TST: \_\_spec\_\_ (an import-related variable for modules) was added in pyth...
-* :ghpull:`2978`: BUG: EllipseCollection: fix transform error
-* :ghpull:`2968`: BUG: Fix the triangular marker rendering error.
-* :ghpull:`2966`: axvline doc typo fix
-* :ghpull:`2962`: py3k fix
-* :ghpull:`2960`: PEP8 : making pep8 happy again
-* :ghpull:`2948`: DOC : added missing doc changes from #2844
-* :ghpull:`1204`: Add power-law normalization
-* :ghpull:`2452`: Fixed issues with errorbar limits
-* :ghpull:`2955`: PEP8 : add missing line to un-break build
-* :ghpull:`2926`: BUG: Removes iteration over locals (no-no) in mathtext
-* :ghpull:`2915`: Consistency of the radius argument for Path.points\_in\_path
-* :ghpull:`2939`: Fixes a bug in drawing bitmap images in the macosx backend for handling device scaling
-* :ghpull:`2949`: CLN : removed version check that required numpy > 1.2
-* :ghpull:`2848`: DOC : removed line about un-needed dependencies in Windows
-* :ghpull:`2940`: Fix some documentation mistakes
-* :ghpull:`2933`: #2897 Adding tests for pie ccw. Issue 2897
-* :ghpull:`2923`: Issue 2899
-* :ghpull:`2930`: Cranky pep8
-* :ghpull:`2847`: DOC : add link to \`plt.subplots\` from \`Figure.add\_subplot\`
-* :ghpull:`2906`: Fix Cairo text on Python3 with pycairo
-* :ghpull:`2920`: fix six check message
-* :ghpull:`2912`: Fix paths in doc which are searched for matplotlibrc (XDG).
-* :ghpull:`2735`: Fixes issue #966: When appending the new axes, there is a bug where it
-* :ghpull:`2911`: text\_axes missing cleanups
-* :ghpull:`2834`: WebAgg: Fix IPython detection.  Fix encoding error on Python 3
-* :ghpull:`2853`: counterclock parameter for pie
-* :ghpull:`1664`: Support for skewed transforms
-* :ghpull:`2895`: typos: s/coodinate/coordinate & s/contols/controls
-* :ghpull:`2875`: Fix for issue #2872. Skip NaN's in draw\_path\_collection.
-* :ghpull:`2887`: fix a bug introduced in c998561d6cc1236
-* :ghpull:`2884`: Fixed the failing tests on master.
-* :ghpull:`2851`: Fix positional/kwarg handling of the Z argument
-* :ghpull:`2852`: AttributeError: 'module' object has no attribute 'next'
-* :ghpull:`2865`: WebAgg: raise WebAggApplication.started flag before blocking
-* :ghpull:`2867`: GTK3 backend: implemented FigureCanvasBase.resize\_event()
-* :ghpull:`2858`: BUG: colorbar autoscaling now ensures a finite range of values
-* :ghpull:`2854`: DOC hist is not cumulative by default
-* :ghpull:`2825`: WebAgg: extracted figure\_div style into css and changed layout
-* :ghpull:`2731`: 2d padding
-* :ghpull:`2819`: DOC: clarified docstring for cbook.boxplot\_stats
-* :ghpull:`2835`: quiver: handle autoscaling with quiverkey when animated
-* :ghpull:`2838`: TST : make 3.2 pass again
-* :ghpull:`2826`: GTK3 backend: Replaced deprecated GObject calls with GLib
-* :ghpull:`2805`: ENH: Updated inset locator axes to return a HostAxes by default
-* :ghpull:`2807`: Python 3 METH\_VARARGS with METH\_KEYWORDS
-* :ghpull:`2821`: DOC: point downloads at the matplotlib downloads
-* :ghpull:`2813`: GTK3Agg backend: Only convert the cairo context to a cairocffi context o...
-* :ghpull:`2801`: Named colors example
-* :ghpull:`2784`: Scipy2013 Sprint: Cleaning F/C example
-* :ghpull:`2798`: Added remove methods for legends in figure and axes objects
-* :ghpull:`2781`: Triplot returns the artist it adds.
-* :ghpull:`2788`: MEP12: Clean-up line and marker demos
-* :ghpull:`2779`: remove old animtion examples.
-* :ghpull:`2794`: fix typo in documentation
-* :ghpull:`2793`: missing mask for scroll event
-* :ghpull:`2780`: ENH : improve error invalid error message for subplot
-* :ghpull:`2782`: BUG: quiverkey must set the vector figure attribute
-* :ghpull:`2389`: table.py: fix issue when specifying both column header text and color
-* :ghpull:`2755`: Fixes legend.get\_children() to actually return the real children of
-* :ghpull:`2599`: Create interpolation\_methods.py
-* :ghpull:`2621`: Simplify and fix dpi handling in tight\_bbox
-* :ghpull:`2752`: Make standardization of input optional in mlab.PCA
-* :ghpull:`2732`: AttributeError: 'Patch3DCollection' object has no attribute 'set\_sizes'
-* :ghpull:`2442`: Rewrite of the entire legend documentation, including tidy ups of code and style to all things "legend".
-* :ghpull:`2746`: ENH : added warning on annotate
-* :ghpull:`2675`: clip\_on = False does not work for x-axis
-* :ghpull:`1193`: Cairo backend ignores alpha in imshow. 
-* :ghpull:`2768`: DOC/BUG: Fix references to demo files
-* :ghpull:`2744`: handle NaN case nicely in \_is\_sorted
-* :ghpull:`2763`: double\_pendulum\_animated.py in 1.2.1 fails due to clear\_temp kwarg
-* :ghpull:`2756`: Removes artificial limit in artist picker traversal. There are quite a
-* :ghpull:`2555`: Make it possible to add mpl.rcParams to itself or deepcopy
-* :ghpull:`2643`: ENH/REF: Overhauled boxplots
-* :ghpull:`2734`: Fixed issue #1733 - AxesImage draw function now takes into account the
-* :ghpull:`2753`: BUG : fixes py3k import
-* :ghpull:`1227`: Does the gtk3agg backend work on python3?
-* :ghpull:`2751`: BUG : fix failing test on 3.2
-* :ghpull:`2749`: Qt4 keys
-* :ghpull:`2137`: PIL -> Pillow
-* :ghpull:`2705`: Build fails on OS X with NumPy 1.9
-* :ghpull:`2707`: Callable date formatter
-* :ghpull:`1299`: Update Axes3D.tricontour for custom triangulations
-* :ghpull:`2474`: MEP12: Example clean-up for reference
-* :ghpull:`2727`: Typo in explanation of annotation\_demo
-* :ghpull:`2728`: fixed comment white space pep8
-* :ghpull:`2720`: Look for user-specified styles in ~/.config/matplotlib/stylelib
-* :ghpull:`2712`: Anchored sizebar fontprop
-* :ghpull:`2713`: Compare pep
-* :ghpull:`2207`: color of candlestick lines
-* :ghpull:`2595`: EHN: add a span\_stays option to widget.SpanSelector
-* :ghpull:`2647`: use GridSpec in plt.subplots
-* :ghpull:`2725`: DOC : fixes small typos in matplotlib.dates docs
-* :ghpull:`2714`: Deprecated matplotlib.testing.image\_util.
-* :ghpull:`2691`: Change LogFormatterExponent to consistently format negative exponents
-* :ghpull:`2718`: Added missing cleanup decorator import.
-* :ghpull:`2423`: Off-axes markers unnecessarily saved to PDF
-* :ghpull:`2239`: Update of mlab.pca - updated docstring, added saving the eigenvalues.
-* :ghpull:`2711`: Fixes issue #2525
-* :ghpull:`2704`: Bugfix for issue #1747. Allows removal of figure text artists.
-* :ghpull:`2690`: Build failure on MacOS X 10.5.8 (PowerPC G5) with Python 3.3.3
-* :ghpull:`2628`: improved get\_ticklabels kwarg
-* :ghpull:`2634`: address FuncAnimantion trying to take lengths of generators
-* :ghpull:`2468`: Add "sage" colors to colors.py
-* :ghpull:`2521`: Fix backend\_svg.RendererSVG.draw\_text to render urls
-* :ghpull:`2703`: Updating regex used to split sphinx version string.
-* :ghpull:`2701`: Fix FancyBboxPatch Typo
-* :ghpull:`2700`: Consistent grid sizes in streamplot.
-* :ghpull:`2689`: Disable offset box clipping by default.
-* :ghpull:`2679`: Make \`test\_save\_animation\_smoketest\` actually run
-* :ghpull:`2504`: Using qhull for Delaunay triangulation
-* :ghpull:`2683`: Close a figure with a type long or uuid figure number
-* :ghpull:`2677`: Make sure self.\_idle is set to \`True\` in all cases
-* :ghpull:`2650`: Lightsource shade method parameters for color range definition
-* :ghpull:`2665`: MacOSX backend supports 2x DPI images and MathTeX.
-* :ghpull:`2680`: Deprecate toolbarqt4agg
-* :ghpull:`2685`: Remove a redundant comparison that raises an exception in Python 3
-* :ghpull:`2657`: different fix for comparing sys.argv and unicode literals
-* :ghpull:`2661`: NF - see axes.get\_label() when clicking on Edit curves lines and axes pa...
-* :ghpull:`2676`: Fix typo in \_axes.vlines doc-string
-* :ghpull:`2671`: Deprecate IPython-related Sphinx extensions
-* :ghpull:`2515`: overloaded \`\_make\_twin\_axes\` on \`LocateableAxesBase\` 
-* :ghpull:`2659`: DOC: Remove redundant colormaps from examples
-* :ghpull:`2648`: Update backend\_webagg.py
-* :ghpull:`2641`: plot\_date: Set the default fmt to 'o'
-* :ghpull:`2645`: Add option to show/hide the source link in plot\_directive
-* :ghpull:`2644`: Small typo in the license.
-* :ghpull:`2461`: New style format str
-* :ghpull:`2503`: Fix interactive mode detection
-* :ghpull:`2640`: Axes.plot: remove set\_default\_color\_cycle from the docstring
-* :ghpull:`2639`: BUGFIX: ensure that number of classes is always of type INT in Colormap
-* :ghpull:`2629`: backend\_qt4agg: remove redundant classes.  Closes #1151.
-* :ghpull:`2594`: New layout for qt4 subplottool + QMainWindow -> QDialog
-* :ghpull:`2623`: setupext: put pkg-config -I, -L, -l locations at the head of the list
-* :ghpull:`2610`: improve docstring and add test fot to\_rgb(<float>)
-* :ghpull:`2626`: minor pep8 to fix failing master builds.
-* :ghpull:`2606`: embedding\_webagg example: Download button does not work
-* :ghpull:`2588`: Refactor mechanism for saving files.
-* :ghpull:`2615`: Fixes issue #2482 and adds note in matplotlibrc.template
-* :ghpull:`2459`: pep8 for backend\_pdf.py
-* :ghpull:`2549`: Add methods to control theta position of r-ticklabels on polar plots
-* :ghpull:`2567`: more informative exceptions for empty/not-existing images in compare\_images()
-* :ghpull:`2603`: Correcting bad string comparsion in lin-log plot aspect verification
-* :ghpull:`2561`: multi-colored text example
-* :ghpull:`2236`: Add easy style sheet selection
-* :ghpull:`2582`: fix initialization of AnnotationBbox 
-* :ghpull:`2574`: Add axes.titleweight as an rc param
-* :ghpull:`2579`: MultiCursor: make events connected during \_\_init\_\_ accessible (for later removal)
-* :ghpull:`2591`: Fix infinite recursion in units with ndarray subclasses.
-* :ghpull:`2587`: Make backend\_pgf more flexible when saving to file-handles or streams (fix #1625).
-* :ghpull:`2554`: User Guide Structure
-* :ghpull:`2571`: This fixes thee probllem brought up in the mailing list with the recent spectrum improvements
-* :ghpull:`2544`: Fix 2542
-* :ghpull:`2584`: Fix typo in legend documentation
-* :ghpull:`2401`: adds rcParam \`axes.formatter.useoffset\`
-* :ghpull:`2495`: fixed an enconding bug when checking for gs version
-* :ghpull:`2462`: Path effects update
-* :ghpull:`2562`: Just some small tweaks to the recipes
-* :ghpull:`2550`: Using a single-shot timer with the Wx backend raises an AttributeError
-* :ghpull:`2553`: removing items from the call to six.iteritems
-* :ghpull:`2547`: fix removed api change regarding spectral functions
-* :ghpull:`2514`: Mpl toolkit pep8
-* :ghpull:`2522`: Add additional spectrum-related plots and improve underlying structure
-* :ghpull:`2535`: Move external libraries to 'extern' directory - correction
-* :ghpull:`2534`: cast argv to unicode before testing
-* :ghpull:`2531`: Move external libraries to 'extern' directory
-* :ghpull:`2526`: Minor doc fixes
-* :ghpull:`2523`: Unicode issue in EPS output when using custom font
-* :ghpull:`2512`: Fix saving to in-memory file-like objects in Postscript backend
-* :ghpull:`2485`: ENH better error message when wrong cmap name.
-* :ghpull:`2491`: Re-enabled PEP8 test, closing #2443.
-* :ghpull:`2428`: BUG: Fixed object type missmatch in SymLogNorm
-* :ghpull:`2496`: Adding a missing 'b' back into two 'bbox\_' kwargs
-* :ghpull:`2494`: Update scatter\_demo.py
-* :ghpull:`2486`: make pep8 test routine reusable for other projects
-* :ghpull:`2406`: BUG: Fixed github stats retrieval
-* :ghpull:`2441`: Catch stderr as well as stdout
-* :ghpull:`2415`: Bug: alpha parameter was ignored when fill color is #000000
-* :ghpull:`2420`: Refactor WebAgg so it can communicate over another web server
-* :ghpull:`2453`: PdfPages: add option to delete empty file when closed
-* :ghpull:`2458`: pep8 clean up 
-* :ghpull:`2156`: [Sprint] scatter plots are (reportedly) too slow
-* :ghpull:`2476`: Updated the position of a few of the text examples because they were overlapping and hard to read.
-* :ghpull:`2460`: minor pep8 fix on every file
-* :ghpull:`2433`: Handle Unicode font filenames correctly/Fix crashing MacOSX backend
-* :ghpull:`2435`: Explicitly catch TypeError when doing pyparsing monkeypatch check
-* :ghpull:`2439`: Use six.string\_types instead of basestring.
-* :ghpull:`2427`: DOC: Add axes\_api to documentation after the refactoring
-* :ghpull:`2417`: Adding possibility to remove invisible lines and patches from relim
-* :ghpull:`2242`: DOC:Use monospace for --
-* :ghpull:`2382`: New stlye qt calls
-* :ghpull:`2351`: Annotation refactor
-* :ghpull:`2407`: backend\_pgf: fix str/unicode comparison errors
-* :ghpull:`2404`: Fix backend\_ps.py
-* :ghpull:`2399`: TypeError occurs when self.button=None in MouseEvents
-* :ghpull:`2391`:  support tight\_bbox for pgf output, fixes #2342
-* :ghpull:`2393`: use six.move for cStringIO
-* :ghpull:`2390`: Transparent rcparams
-* :ghpull:`2374`: Doc fix typos
-* :ghpull:`2226`: Stop relying on 2to3 and use \`six.py\` for compatibility instead
-* :ghpull:`2335`: make sure we only perform absolute imports on loading a backend
-* :ghpull:`2363`: [bug correction] trirefine is now independant of triangulation numbering
-* :ghpull:`2357`: Better axis limits when using shared axes and empty subplots
-* :ghpull:`2358`: Broken IPython notebook integration
-* :ghpull:`2352`: changed colorbar outline from a Line2D object to a Polygon object
-* :ghpull:`2054`: Ipython/Webagg integration
-* :ghpull:`2301`: Upload test result images to Amazon S3
-* :ghpull:`2319`: fix draw\_idle reference in  NavigationToolbar2
-* :ghpull:`2306`: Mollweide latitude grid
-* :ghpull:`2325`: BF: guard against broken PyQt import
-* :ghpull:`2340`: Fix #2339: render math text when using path effects
-* :ghpull:`2334`: Remove disabled code.
-* :ghpull:`2344`: Fixed the issue of pyplot tutorial missing the show() command
-* :ghpull:`2333`: Fix wrong syntax for assert
-* :ghpull:`2326`: BUG FIX for Pull Request #2275: Fix incorrect function calls
-* :ghpull:`2328`: Fix PySide compatibility
-* :ghpull:`2316`: Replace the obsolete wx.PySimpleApp
-* :ghpull:`2317`: fix the docstring for scale\_docs
-* :ghpull:`2110`: Fix rc grid parameter inconsistency
-* :ghpull:`2262`: View accepts FirstResponder (for key\_press\_events)
-* :ghpull:`2147`: Make nonposy='clip' default for log scale y-axes
-* :ghpull:`1920`: finance ochl->ohlc
-* :ghpull:`2059`: Pep8 on many tests
-* :ghpull:`2275`: Fix Qt4 figure editor color setting and getting
-* :ghpull:`2290`: Fix a recursion problem with masked arrays in get\_converter
-* :ghpull:`2285`: Handle prop=None case in AnchoredText.\_\_init\_\_()
-* :ghpull:`2291`: ENH: use an artist's update() method instead of the setp() function
-* :ghpull:`2245`: Adding a flush\_events method to the MacOSX backend
-* :ghpull:`2251`: Remove deprecated code marked for deletion in v1.3
-* :ghpull:`2280`: PEP8 on tri module
-* :ghpull:`2158`: Changes to anchored\_artists.AnchoredSizeBar
+Previous GitHub statistics
+--------------------------
 
-Issues (579):
+.. toctree::
+    :maxdepth: 1
+    :glob:
+    :reversed:
 
-* :ghissue:`3692`: /usr/include/libpng12/pngconf.h:371:12: error: ‘\_\_pngconf’ does not name a type
-* :ghissue:`3704`: UnicodeDecodeError and failed test\_multiline.test
-* :ghissue:`3703`: UnicodeDecodeError and failed test\_multiline.test
-* :ghissue:`3669`: Test faliures after merging the decxx branch (#3646)
-* :ghissue:`3680`: Problem with histograms and normed=True
-* :ghissue:`2247`: plot\_surface: hidden lines re-appearing in PDF and SVG backends
-* :ghissue:`3345`: too large file size created by the errorbar of matplotlib
-* :ghissue:`2910`: Cannot set stackplot linewidth=0 when writing to pdf
-* :ghissue:`497`: keymap defaults aren't always lists
-* :ghissue:`3667`: A bug in mpl\_toolkits.mplot3d.axes3d
-* :ghissue:`3596`: Pep8 tests fails when running python tests.py from base mpl dir.
-* :ghissue:`3660`: shading tests + numpy 1.6
-* :ghissue:`2092`: Move to new Numpy API
-* :ghissue:`3601`: matplotlib.style.available not updated upon adding/deleting .mplstyle files
-* :ghissue:`3616`: matplotlib.pyplot.imread silently fails on uint16 images.
-* :ghissue:`3651`: Error when saving rasterized figure to PDF
-* :ghissue:`3470`: MacOSX backend breaks for matplotlib 1.4 after importing seaborn
-* :ghissue:`3641`: Annotations with Latex code cause errors in 1.5 master
-* :ghissue:`3623`: Qt5 backend doesn't work with Qt 5.3
-* :ghissue:`3636`: mp4 is a container format, not a codec
-* :ghissue:`3639`: Shading tests failing on master
-* :ghissue:`3617`: PatchCollection.\_\_init\_\_ ignores all kwargs if match\_original=True
-* :ghissue:`2873`: Add violin plots
-* :ghissue:`3213`: add whats\_new entry for nbagg
-* :ghissue:`3392`: Cannot pickle \`figure\` or \`axes\` (TypeError: instancemethod)
-* :ghissue:`3614`: Pickling imshow fails (?due to \_imcache)
-* :ghissue:`3606`: nbagg issues with ipython 3.0
-* :ghissue:`3494`: corrupt eps output on python3
-* :ghissue:`3505`: Interactive mode not working in 1.4
-* :ghissue:`3311`: Ship conda package metadata with matplotlib?
-* :ghissue:`3248`: Divide by zero error in matplotlib.tests.test\_colors.test\_light\_source\_shading\_color\_range
-* :ghissue:`3618`: UnicodeDecodeError when I try to import matplotlib from directory with non-ascii name
-* :ghissue:`3605`: matplotlib.pylab.specgram generate bad image in 1.4.0
-* :ghissue:`3604`: regression in pandas test suite with mpl 1.4.0
-* :ghissue:`3603`: Error saving file (Qt5 backend)
-* :ghissue:`2907`: Expose ax.yaxis.labelpad and ax.xaxis.labelpad to the rc file
-* :ghissue:`3544`: flier objects missing from structure return by boxplot
-* :ghissue:`3516`: import error when non-ascii characters are present in cwd or user name (windows)
-* :ghissue:`3459`: boxplot in version 1.4.0 does not respect property settings for fliers (flierprops)
-* :ghissue:`3590`: Won't use a font although it can be found by the FontManager
-* :ghissue:`3412`: Matplotlib 1.4 doesn't install from source on CentOS 6
-* :ghissue:`3423`: Pytz should be specified and documented as a required dependency
-* :ghissue:`3569`: boxplot stats regression on empty data
-* :ghissue:`3563`: boxplot() and xticklabels
-* :ghissue:`1713`: Can't store Unicode values in .matplotlibrc
-* :ghissue:`233`: Make hist with 'step' histtype draw Line2D instead of Patch
-* :ghissue:`3522`: Inverting a datetime / plot\_date y-axis
-* :ghissue:`3570`: matplotlib save dynamic user changes to plot
-* :ghissue:`3568`: Daily build fails at "import matplotlib.pyplot as plt"
-* :ghissue:`3565`: clabel randomly inconsistend when placed manually
-* :ghissue:`3551`: Window isn't drawn
-* :ghissue:`3538`: Importing matplotlib failing when pacakge "six" is 1.3.0
-* :ghissue:`3542`: fix boxplot docs
-* :ghissue:`3455`: Documentation bug: boxplot docs have contradicting information
-* :ghissue:`3468`: boxplot() draws (min, max) whiskers after a zero-IQR input regardless of whis value
-* :ghissue:`3436`: matplotlib.use('nbagg ') does not work in Python 3
-* :ghissue:`3529`: Symlog norm still gives wrong result with integer lintresh.
-* :ghissue:`3537`: 3D figures cannot be created in 1.4.0: 'module' object has no attribute '\_string\_to\_bool'
-* :ghissue:`3527`: Drawing an arrow using axis.annotate raises DeprecationWarning
-* :ghissue:`3523`: invalid EPS figure in Mac OS X
-* :ghissue:`3504`: postscript axes corner is not perfect
-* :ghissue:`3520`: a question about subplot in spyder
-* :ghissue:`3512`: What else apart from \`useOffset\` is controlling tick label offsets?
-* :ghissue:`3493`: Incorrect use of super() in mplot3d?
-* :ghissue:`3439`: Registering backends broken by backwards incompatible change
-* :ghissue:`3511`: Error in plot-gui while saving image
-* :ghissue:`3509`: Add Build Instructions for Windows 7 Using Visual Studio?
-* :ghissue:`3500`: Annotation xytext property does not return xyann value
-* :ghissue:`3497`: Ortho basemap projection with limits crashes
-* :ghissue:`3447`: cursor doesn't change on keypress (GTKAgg backend)
-* :ghissue:`3472`: Memory leak displaying PIL image.
-* :ghissue:`3484`: TclError for draw\_event handler calling close()
-* :ghissue:`3480`: Duplicate labels produced when using custom Locators/Formatters
-* :ghissue:`3475`: need for rubberband in zoom tool
-* :ghissue:`3465`: psd() draw a wrong line with sliced array(Matplotlib 1.4.0)
-* :ghissue:`3454`: backend\_qt5 (1.4.0): Not saving the figure with NavigationToolbar (solved)
-* :ghissue:`3416`: Specify difficulties installing mpl on OSX.
-* :ghissue:`2970`: add test of all the standard marker symbols
-* :ghissue:`3318`: Running \`setup.py egg\_info\` starts to compile everything
-* :ghissue:`3466`: Invalid DISPLAY variable
-* :ghissue:`3463`: when executing a small script nothing happens!!
-* :ghissue:`2934`: Line labels don't update in the legend after changing them through the Qt4Agg dialog box
-* :ghissue:`3431`: Qt5 toolbar support not working in release 1.4.0
-* :ghissue:`3407`: Update dns/IP adress
-* :ghissue:`3460`: zoomed\_inset\_axes shows a incorrect result.
-* :ghissue:`3417`: update citation page
-* :ghissue:`3450`: Wrong permissions when installing from source on Linux
-* :ghissue:`3449`: matplotlib/colors.py: modifying dict while iterating
-* :ghissue:`3445`: can't bring plot to front eclipse after running the script on mac ox 10.9
-* :ghissue:`3443`: Pip install matplotlib does not work on Python 3.2 anymore
-* :ghissue:`3411`: fix rst mark up
-* :ghissue:`3413`: update freetype version in docs
-* :ghissue:`3396`: Sort out OSX dmg files
-* :ghissue:`3410`: Latex rendering fails in ipython
-* :ghissue:`3404`: Wrong plot on basemap with \`latlon=True\` 
-* :ghissue:`3406`: A layer stacking problem of exported svg image compatible with inkscape
-* :ghissue:`3327`: FontProperties are shared by all three titles of an Axes object
-* :ghissue:`1980`: Custom marker created from vertex list scales wrong
-* :ghissue:`3395`: Update Downloads page
-* :ghissue:`2545`: Some of Russian letters are not visible in EPS
-* :ghissue:`3405`: The memory taken up from the RAM pool by imshow
-* :ghissue:`1717`: Definitive docs for how to compile on Windows
-* :ghissue:`2999`: Update and clarify installation documentation
-* :ghissue:`2138`: pyplot.scatter not converting \*x\* and \*y\* to a 1-D sequence when the input is a 1xN matrix...
-* :ghissue:`3144`: Backend documentation
-* :ghissue:`3379`: syntax warning in qt5 with 1.4.0rc4
-* :ghissue:`2451`: \_macosx.so crash in build using Xcode 5
-* :ghissue:`3362`: 3D line object loses its color cycle in a function animation
-* :ghissue:`3385`: Regression with cx\_support in 1.4.0rc4
-* :ghissue:`3389`: request: more than two axes/spine on plot
-* :ghissue:`3383`: Tkinter backend finishes with segmentation fault
-* :ghissue:`2881`: Focus stays in terminal on OS X and 1.3.1
-* :ghissue:`166`: RuntimeError: CGContextRef is NULL with draw\_artist
-* :ghissue:`169`: csv2rec encoding support
-* :ghissue:`311`: Intelligent log labels
-* :ghissue:`374`: Add general rcParam mechanism for text
-* :ghissue:`449`: stem plots have no color cycling mechanisms
-* :ghissue:`862`: The y-axis label of figures created with psd() should not say "Density" when scale\_by\_freq=False
-* :ghissue:`1021`: Hatching Inconsistencies
-* :ghissue:`1501`: Panning and zooming does not work on axes created with twinx (and twiny)
-* :ghissue:`1412`: Path collection filling/stroking logic is different from the usual in the pdf backend
-* :ghissue:`1746`: pcolormesh with lambert projection ignores lower hemisphere
-* :ghissue:`2684`: Savefig to EPS with cyrillic title doesn't work
-* :ghissue:`1933`: backend\_pdf.py fails on 3d plots (1.3.x)
-* :ghissue:`1996`: Bug when installing in OS X with easy\_install
-* :ghissue:`2157`: numpy/core/\_methods.py:57: RuntimeWarning: invalid value encountered in double\_scalars
-* :ghissue:`2292`: Axes label rotation
-* :ghissue:`2343`: Test failures
-* :ghissue:`2448`: idle\_add deprecation warning.
-* :ghissue:`2355`: Type Error in bar3d plot when saved as svg
-* :ghissue:`2361`: pylab import fails for non-framework python installs on OS X
-* :ghissue:`2596`: Latex formatting does not seem to work with xkcd style
-* :ghissue:`2611`: no \_\_init\_\_.py in matplotlib-1.3.1.win-amd64-py2.7.exe
-* :ghissue:`2620`: WebAgg for multiple clients
-* :ghissue:`2686`: Tornado error when using matplotlib WabAgg backend
-* :ghissue:`2649`: incorrect detection of text.latex.unicode=True
-* :ghissue:`3367`: macosx broken on python 3.4 non-framework builds, shaky on framework
-* :ghissue:`3366`: feature request: set\_data method for errorbar
-* :ghissue:`3365`: font configuration
-* :ghissue:`3361`: saving 3D line figure in pgf format results in error
-* :ghissue:`3340`: Plotting a dataframe from pandas: IndexError: list index out of range
-* :ghissue:`3338`: resizing figures in webagg
-* :ghissue:`3336`: Boxplot shows wrong color for lower outliers
-* :ghissue:`3214`: add whats\_new for webagg
-* :ghissue:`3209`: Install docs are hopelessly out of date
-* :ghissue:`3344`:  Cairo backend math text
-* :ghissue:`3333`: No response on editing axes by NavigationToolbar2 in interactive mode
-* :ghissue:`3332`: savefig crashes in backend\_p[df|s].py when using plot-option mew
-* :ghissue:`3304`: 1.4.0 RC1+7: \*\*\* glibc detected \*\*\* python: corrupted double-linked list
-* :ghissue:`3326`: Docs build failure on Launchpad.
-* :ghissue:`3321`: SymLogNorm returns 'inf' and 'nan' when given negative vmin as \_\_init\_\_ argument
-* :ghissue:`3223`: get colorbar slides
-* :ghissue:`3259`: Attribute error when testing on system without ghostscript
-* :ghissue:`3319`: colorbar 
-* :ghissue:`3297`: test\_mplot3d.test\_quiver3d tests require np.meshgrid from numpy >= 1.7.0
-* :ghissue:`3299`: 1.4.0 RC1 UserWarning: Rasterization of PolyCollection will be ignored
-* :ghissue:`3220`: pylab\_examples/boxplot\_demo.py crashes
-* :ghissue:`3280`: Docs build failure on Launchpad.
-* :ghissue:`3281`: Error with pip install with Python 3.4
-* :ghissue:`3252`: ImportError: No module named 'mpl\_toolkits'
-* :ghissue:`3264`: 1.4.0rc1: Python-level memory "leak" (internal font cache?)
-* :ghissue:`3276`: free type memory leak
-* :ghissue:`2918`: re-write contribution guide lines
-* :ghissue:`3115`: do not reccomened using pyplot in scripts
-* :ghissue:`3255`: Out of memory failures on Travis
-* :ghissue:`3268`: Travis broken
-* :ghissue:`2908`: 404 links on the screenshot page
-* :ghissue:`3260`: webagg backend does not show figures due to JS error
-* :ghissue:`3254`: Won't write \approx LaTeX character in legend?
-* :ghissue:`3234`: Put PEP8 tests in its own Travis configuration
-* :ghissue:`2533`: Bug in mplot3D with PolyCollection: (0, 0) data point is always inserted into the data set.
-* :ghissue:`2045`: PolyCollection path closing is projected incorrectly by add\_collection3d
-* :ghissue:`2928`: matplotlib.sphinxext.plot\_directive.py issue with ..image:: directive option passing for latex output. 
-* :ghissue:`2975`: webagg generated JS quotes
-* :ghissue:`3152`: OSX test failures
-* :ghissue:`3175`: Navigation toolbar, Save button, last used folder path
-* :ghissue:`3197`: Memory Leak in Agg
-* :ghissue:`3186`: Numpy 1.9 issues.
-* :ghissue:`3216`: edit useoffset docs in ticker to mention rcparam
-* :ghissue:`3226`: bump numpy version to 1.6
-* :ghissue:`3191`: Test errors with numpy 1.5 - advice?
-* :ghissue:`3219`: pep8 test failure on macosx
-* :ghissue:`1541`: Transparecy of figures in 3D plots (mplot3d)
-* :ghissue:`1692`: switch to turn off auto-shading in scatter3D
-* :ghissue:`2487`: WebAgg kills IPython kernel
-* :ghissue:`3055`: Add warning to \`get\_window\_extent\`
-* :ghissue:`3042`: boxplot does not take parameters into account
-* :ghissue:`3049`: PDF Embedded fonts with python3 mpl reported as 'Unknown' by pdffonts and pdf readers
-* :ghissue:`3090`: Set up travis to test 3.4/drop 3.2
-* :ghissue:`2977`: RC backend.qt validation too limiting.
-* :ghissue:`3166`: subplot(x, x, 0) should raise Exception
-* :ghissue:`2475`: BUG: manual clabel positioning broke between 1.2 and 1.3
-* :ghissue:`3204`: embedded\_webagg.py example needs patches
-* :ghissue:`3202`: dateutil isn't included in 1.3.1
-* :ghissue:`3199`: triplot, etc examples broken by merged PR #3182
-* :ghissue:`3172`: replace qt4\_compat.py
-* :ghissue:`2518`: pie chart is trimmed
-* :ghissue:`2394`: AnchoredSizeBar does not respect FontProperties size setting.
-* :ghissue:`3140`: Building issue under windows.
-* :ghissue:`3044`: matplotlib shouldn't call gc.collect()
-* :ghissue:`3143`: Document r/c stride in plot\_surface/wire frame
-* :ghissue:`3136`: bottom keyword argument of hist() not documented
-* :ghissue:`3178`: Regression in IPython Sphinx extension
-* :ghissue:`3176`: rendering bugs in log/log-base-2 histograms
-* :ghissue:`2796`: pyplot.plot casts integer tick values to floats
-* :ghissue:`3171`: Changing the legend fontsize "hides" dotted lines in the legend
-* :ghissue:`3039`: tornado not optional
-* :ghissue:`1026`: Feature request: Quiver plot in Axes3D object
-* :ghissue:`2268`: \_update\_patch\_transform(): AttributeError: 'Rectangle' object has no attribute '\_y'
-* :ghissue:`1847`: Crash when creating polar plot with log scale on radial axis
-* :ghissue:`3161`: Docs build failure
-* :ghissue:`3051`: improve error message when pgf can't find tex executable
-* :ghissue:`2350`: Arrows affected by data transform
-* :ghissue:`3151`: document api changes
-* :ghissue:`3139`: savefig() saves different aspect ratio than show()
-* :ghissue:`3138`: ENH: Function to "reset" the color cycle on a set of axes
-* :ghissue:`3145`: Error in subplots sharey docs?
-* :ghissue:`2958`: feature request: set figure sizes w.r.t. screen resolution
-* :ghissue:`3082`: GTK-Glade tutorial is out of date
-* :ghissue:`2688`: Deleting axis in matplotlib > v1.2.1 does not work similar to v1.1.1
-* :ghissue:`3117`: Qt4 backend using unichr() in python3
-* :ghissue:`3105`: Sliders unresponsive when created inside a function
-* :ghissue:`2828`: PS backend fails to save polar plot
-* :ghissue:`3113`: BUG: PathCollection' object has no attribute 'set\_sizes'
-* :ghissue:`2608`: Docs: pyplot.axes() should mention the \`aspect\` keyword argument
-* :ghissue:`2366`: Errorbar plot ignores linestyle rcParam
-* :ghissue:`3035`: Add docs to Polygon \`\*\_xy\`
-* :ghissue:`3124`: Zooming to a point changes a picked point's index for data longer than 100 points
-* :ghissue:`2492`: subplots() shared scale is off
-* :ghissue:`3118`: Wrong datalims with empty plots with shared axes
-* :ghissue:`2963`: Segmentation Fault on adding BBoxImage to matshow
-* :ghissue:`3093`: Python 3.4 tkagg backend error while importing pyplot
-* :ghissue:`3109`: Undesired crop with thick lines
-* :ghissue:`2288`: Symmetric Log scale: linscale < 1 ?
-* :ghissue:`3106`: small bug in 'class Appender'
-* :ghissue:`3079`: Scatter plot color array length should raise Error
-* :ghissue:`3095`: Memory issue when plotting large arrays with pcolormesh
-* :ghissue:`2941`: Order of ax.spines[].set\_position() and ax.yaxis.set\_major\_formatter() produces different results
-* :ghissue:`3012`: set\_ticks\_position to non-default position, sets all tick texts to empty string
-* :ghissue:`3097`: scatter should take array for alpha
-* :ghissue:`3091`: set\_xlim() crashes kernel if interpolation='none'
-* :ghissue:`3094`: Various improvements in finance.py
-* :ghissue:`3029`: freetype cannot be found by build
-* :ghissue:`3052`: Unresponsive figure when using interactive mode on Windows
-* :ghissue:`3086`: Multiple test errors in current master on Python 3.4 / Ubuntu 12.04
-* :ghissue:`2945`: Bug in y-minimum for weighted, log, stepped \`Axes.hist\`
-* :ghissue:`3085`: Mistake in documentation of Figure.colorbar()
-* :ghissue:`2889`: bug: path effects in text() change text properties
-* :ghissue:`3075`: Add warning about updating font rcparams
-* :ghissue:`3065`: font priority bug
-* :ghissue:`2150`: Bug in bar plot, leading zeros in data (bar heights) are ignored.
-* :ghissue:`2541`: mouse-over coordinates wrong for polar plot with customized theta direction/offset
-* :ghissue:`1981`: plot() - Markevery only supports startpoint and stepsize, not endpoint
-* :ghissue:`3021`: PyQt4 installation check fails as pyqtconfig is no longer built by default
-* :ghissue:`3068`: XDG\_CONFIG\_HOME causes server to crash
-* :ghissue:`3010`: How to set multiple default fonts with matplotlib?
-* :ghissue:`3001`: Install file got merge conflict 
-* :ghissue:`3033`: Feature Request: Artists should have a name attribute?
-* :ghissue:`3069`: vistrails ImportError: No module named pylab.plot
-* :ghissue:`2602`: stem function with datetime argument does not work in 1.3.1
-* :ghissue:`3000`: PGF backend: Lines in multi-line text drawn at same position
-* :ghissue:`1891`: Animation module errors out when using Python3
-* :ghissue:`1381`: Figure.add\_subplot documentation doesn't explain args
-* :ghissue:`2863`: ensure non-singular extent in hexbin
-* :ghissue:`3005`: Remove all references to \`\`\`ipython --pylab\`\`\`
-* :ghissue:`3040`: OSX 10.7 Install Error
-* :ghissue:`3028`: Import error QT4 backend with python3.2.3
-* :ghissue:`2974`: documentation mistake in errorbar
-* :ghissue:`3026`: Bug in matplotlib.mlab.levypdf
-* :ghissue:`2197`: pyplot.errorbar: problem with some shapes of the positional arguments
-* :ghissue:`2896`: add doc for qt repaint
-* :ghissue:`2651`: in animation writer object not instanciated
-* :ghissue:`2921`: Boxplot resets x-axis limits and ticks
-* :ghissue:`2490`: INSTALL should list ffmpeg/avconv/mencoder/imagemagick optional dependencies and versions
-* :ghissue:`2916`: Docs build segfaults on Launchpad
-* :ghissue:`2965`: Feature Request: Data Cursor Mode
-* :ghissue:`2899`: adding linewidth argument to pie
-* :ghissue:`2559`: The response of mouse zoom & pan is slow with Qt4Agg backend.
-* :ghissue:`2998`: importing matplotlib breaks warn() function, when given an argument of type bytes
-* :ghissue:`2969`: Tarball not installing on mac osx 10.9.2
-* :ghissue:`2987`: OpenCV + figure.show() doesn't block GUI
-* :ghissue:`2972`: aliasing with imshow(z, interpolation = 'none'), when saved as a pdf
-* :ghissue:`2967`: Exception with sphinx 1.2.2 using the ipython directive
-* :ghissue:`2097`: PGF-related test failures on Mac OS-X
-* :ghissue:`2976`: Gtk3Agg backend (Ubuntu 14.04)
-* :ghissue:`2892`: Reset plot\_directive context
-* :ghissue:`2890`: plot\_apply\_rcparams=True causes figure to not appear when updated
-* :ghissue:`2982`: Docs build failure on Launchpad.
-* :ghissue:`2964`: line style rendering error
-* :ghissue:`2303`: Document figure.get\_size\_inches, improve set\_size\_inches and improve a ValueError message
-* :ghissue:`2953`: col2hex in figureoptions.py not versatile enough
-* :ghissue:`2925`: 'Dictionary size changed during iteration' in mathtext.py
-* :ghissue:`2330`: Documentation problem about installing matplotlib
-* :ghissue:`2152`: We don't actually support Numpy v1.4
-* :ghissue:`2943`: Typos in doc of vlines
-* :ghissue:`2944`: Have pyplot.subplots return an np array no matter how many plots are created
-* :ghissue:`2670`: Core dump with use.tex
-* :ghissue:`2938`: Stem plots could handle dates, no?
-* :ghissue:`2937`: Distortion of vertical axis labels that contain MathTeX (MacOSX backend)
-* :ghissue:`2897`: add ccw pie test
-* :ghissue:`2932`: Py3K failure in \`\`transform.contains\_branch\`\`
-* :ghissue:`2919`: Import hangs when importing pyplot
-* :ghissue:`2924`: Pyplot figure window container
-* :ghissue:`966`: axes\_grid: indicate the axes for the suplot with append\_axes
-* :ghissue:`2903`: Cairo Backend: Can't convert 'bytes' object to str implicitly on Python3
-* :ghissue:`2775`: Compatibility with pandas 0.13
-* :ghissue:`2546`: Candlestick shadow is drawn after candlestick body
-* :ghissue:`2917`: NotImplemented Error with gtk3cairo
-* :ghissue:`2870`: Wrong symbols from a TrueType font
-* :ghissue:`2902`: Installer crash on Mac OS X 10.9.2 (crashed on child side of fork pre-exec)
-* :ghissue:`2901`: Trouble importing GTK when pyplot is imported
-* :ghissue:`2891`: wxversion
-* :ghissue:`2601`: Legend does not work for \`\`quiver\`\`
-* :ghissue:`2888`: Is there any way to keep the length between ticks in symlog plot the same?
-* :ghissue:`2882`: [arm] segfault with matplotlib.mlab.PCA  
-* :ghissue:`2878`: merging 1.3.x broke build on master
-* :ghissue:`2159`: Add darken and lighten to colors
-* :ghissue:`2537`: Clockwise pie diagram
-* :ghissue:`2808`: BUG: master has broken some 3d plots
-* :ghissue:`2877`: \`plt.xscale('log')\` overrides grid
-* :ghissue:`2872`: Matplotlib "eats" points when zeros present on logscaled scatter plot
-* :ghissue:`2868`: backend\_qt4 qt4\_editor figureoptions get\_icon crashes application
-* :ghissue:`2866`: 'rounding' of x coordinates in plt.plot with large 64-bit numbers
-* :ghissue:`2864`: Frame around colorbar doesn't use closepath (in PDF renderer at least)
-* :ghissue:`2862`: how to realize the function like surf(x,y,z,c) in matlab
-* :ghissue:`2642`: FloatingPointError exception in figure.colorbar
-* :ghissue:`2859`: BUG? subplot with sharex clears axes
-* :ghissue:`2856`: Add labels to points to aid data exploration
-* :ghissue:`2840`: read Navigation toolbar parameters
-* :ghissue:`2830`: Bug in multiple step horizontal histograms
-* :ghissue:`1455`: Boxplot: allow whiskers to always cover entire range
-* :ghissue:`2795`: turn clipping off in spine example
-* :ghissue:`2824`: WebAgg: drawing text is either skipped or duplicated
-* :ghissue:`2682`: sphinx documentation, links, [I hate] orange
-* :ghissue:`2616`: Quiver does not \_init with animated=True and quiverkey attached
-* :ghissue:`2777`: unicode strings \`u''\` have leaked into test\_legend.py
-* :ghissue:`2769`: squash smoke test on 3.2
-* :ghissue:`2630`: Qt4 save file dialog fails to appear on OSX
-* :ghissue:`2347`: Colorbar autoscale handling an array of one value
-* :ghissue:`1499`: twinx() on an inset axes wrongly acts on the main axes
-* :ghissue:`2598`: colorbar() TypeError: only length-1 arrays can be converted to Python scalars
-* :ghissue:`2815`: Bar plot width even for odd number of 'left' greater than 10
-* :ghissue:`2832`: WebAgg Python3 ... strings again
-* :ghissue:`2833`: path.simplify and path.simplify\_threshold have no effect for SVG output
-* :ghissue:`2652`: Axis tickmarks of 1e20 and higher fail
-* :ghissue:`2202`: Autoscale does not work for artists added with Axes.add\_artist
-* :ghissue:`2786`: eventplot raises an exception for empty sequences
-* :ghissue:`2817`: Provide 'lite' version of release tar file
-* :ghissue:`2164`: [SPRINT] Single letter colors different than full name colors [sprint]
-* :ghissue:`2810`: Segfault when blitting multiple subplots with the gtk3agg backend
-* :ghissue:`2814`: nanovg backend?
-* :ghissue:`2811`: plot\_surface displays darkened colormap
-* :ghissue:`2802`: Getting Exception with "loc" attribute in title
-* :ghissue:`2792`: Disable legend on matplotlib.axes instance
-* :ghissue:`2027`: Old animation examples
-* :ghissue:`2791`: Basemap background image has latitudes reversed
-* :ghissue:`2789`: Hatching color in contourf function.
-* :ghissue:`2715`: Upload packages to PyPI directly, for pip 1.5
-* :ghissue:`2797`: Memory black hole in matplotlib animation.
-* :ghissue:`2668`: No "scroll\_event" when using Gtk3 backends
-* :ghissue:`2785`: Log plots (semilogx, semilogy and loglog) crash with type error
-* :ghissue:`409`: Errorbar layering
-* :ghissue:`2098`: figure.add\_subplot(1311): ValueError: Illegal argument(s) to subplot: (1, 3, 1, 1)
-* :ghissue:`2228`: Building docs: Could not import extension sphinxext.math\_symbol\_table (exception: No module named math\_symbol\_table)
-* :ghissue:`2573`: Matplotlib install breaks pip?
-* :ghissue:`2373`: python-dateutil encoding issues under python 3.3
-* :ghissue:`2729`: update list of dependencies
-* :ghissue:`2748`: matplotlib 1.3.1 for Python 3.2.5 on Mac OS X produces corrupt .eps files
-* :ghissue:`1962`: When legend is outside the axes, pick events get handled twice
-* :ghissue:`1880`: KeyEvent's key attribute and modifier keys in WX backend
-* :ghissue:`2586`: PGF backend does not clip image with specific bounding box
-* :ghissue:`2773`: matplotlib 1.3.1 is broken on windows
-* :ghissue:`2760`: line color='none' regression in 1.3
-* :ghissue:`2770`: No way to pass clear\_temp to \`Animation.save\`
-* :ghissue:`2747`: Error with Savefig, Pyparsing
-* :ghissue:`2766`: Docs build failure
-* :ghissue:`1027`: Possible bug in boxplot()
-* :ghissue:`991`: Perfectly horizontal or vertical lines don't render to svg
-* :ghissue:`841`: Error autoscaling histogram with histtype='step'
-* :ghissue:`217`: New features for boxplot
-* :ghissue:`2543`: rcsetup.validate\_bool\_maybe\_none(None) raises Exception
-* :ghissue:`2556`: Quiver leaks memory when called multiple times
-* :ghissue:`2767`: Transparency of overlaid contour fill without effect on underlying isocontours
-* :ghissue:`2510`: Axes.margins() raises ValueError when only \*\*kwargs is used
-* :ghissue:`2590`: wrong version of mpl\_toolkits imported when installing mpl with python setup.py install --user
-* :ghissue:`2669`: PGF backend can't find 64-bit ghostscript on win64
-* :ghissue:`2540`: Location of subplot.set\_aspect(...) matters for imshow
-* :ghissue:`2605`: cxx error when installing matplotlib 1.3 on CentOS 5.9
-* :ghissue:`2622`: Matplotlib fails to build with Freetype 2.5.1 on OS X
-* :ghissue:`2687`: \`plt.xkcd()\` gives an error when a plt.text() is added with two line breaks "\n\n"
-* :ghissue:`608`: mpl\_toolkits.axisaritst should implement separate artists for x- and y- gridlines
-* :ghissue:`2655`: The "2to3" seems doesn't work while buliding matplotlib1.3.1 with python3.x
-* :ghissue:`1733`: im.set\_clip\_path(rectangle) doesn't work
-* :ghissue:`2750`: Jitter plot
-* :ghissue:`1736`: Implement a Colormap.\_\_reversed\_\_
-* :ghissue:`2256`: Can't import plot\_directive in Python 3
-* :ghissue:`1030`: patch facecolor does not respect alpha value
-* :ghissue:`1703`: matploblib ignoring the switching of rendering backends
-* :ghissue:`1429`: [sphinxext] needs ability to build html without the link to source
-* :ghissue:`1203`: multi-subplot animation problem
-* :ghissue:`2633`: svg from filenames containing '--' can be illformed
-* :ghissue:`1148`: Matplotlib doesn't save correctly the figuren when using patches.Circle on different plots
-* :ghissue:`2264`: Qt4Agg does not send backspace key\_press\_events
-* :ghissue:`1947`: Generate thumbnail of figure contents for use as figure window icon
-* :ghissue:`2529`: unable to build docs locally
-* :ghissue:`2741`: seg-fault building docs
-* :ghissue:`1529`: Unsatisfactory API example
-* :ghissue:`2302`: mpl\_connect event.key has 'alt' prepended in matplotlib 1.2 on windows
-* :ghissue:`2212`: spyder and matplotlib
-* :ghissue:`2733`: doc on rebase a pull request
-* :ghissue:`1992`: QT backend: Post-plotting layout values set via GUI get lost after zoom-in/zoom-out cycle
-* :ghissue:`1311`: textcords='axes fraction'  does not work for some axes ranges
-* :ghissue:`1712`: Pylab function show()  accepts any arguments
-* :ghissue:`1567`: Create kwarg to normalize histogram such that sum of bin values equals 1
-* :ghissue:`829`: tight\_layout: take suptitle into account?
-* :ghissue:`2249`: Autocompletion on rcParams: long-overdue restructuring of rcParams
-* :ghissue:`2118`: rc\_file does not restore settings from my matplotibrc
-* :ghissue:`2737`: Duplicate month name in AutoDateLocator on DST timezones
-* :ghissue:`1408`: Feature request: streaklines and improvements to streamplot
-* :ghissue:`1060`: AutoDateLocator.\_\_init\_\_: add version since which keywords are available
-* :ghissue:`2237`: Interactive plot styling 
-* :ghissue:`1413`: Reminder: PySide decref patch
-* :ghissue:`990`: imshow extent keyword (documentation?)
-* :ghissue:`379`: Axes objects to hold dictionary of axis objects
-* :ghissue:`2477`: Add image value to x=, y= cursor text.
-* :ghissue:`2483`: animation with 'ffmpeg' backend incompative with 'bounding\_box=tight'
-* :ghissue:`2218`: color should set both facecolor and edgecolor in pyplot.bar
-* :ghissue:`2566`:  hsv\_to\_rgb isn't the inverse of rgb\_to\_hsv
-* :ghissue:`1561`: mlab.psd returns incorrect frequency axis for two-sided spectra with nfft odd.
-* :ghissue:`2365`: Missing final edge in a 'step' histogram for matplotlib 1.3.0
-* :ghissue:`2346`: 2.7.5-r2: Fatal Python error: Segmentation fault at matplotlib/transforms.py", line 2370 in get\_matrix
-* :ghissue:`2305`: Request: Set figure size in pixels, not inches
-* :ghissue:`2214`: new figure invoked from a python shell in Emacs for win32 freezes console even after it's closed
-* :ghissue:`2235`: Broken doc build
-* :ghissue:`1901`: Qt4Agg + PySide fails to open a plot on linux64 (CentOS-5,6)
-* :ghissue:`1942`: Matplotlib widgets: How to disconnect spanselector once selection is completed?
-* :ghissue:`1952`: import pylab; pylab.plot([1,3,2]): Failed to load platform plugin "xcb"
-* :ghissue:`1863`: SpanSelector broken in master
-* :ghissue:`1586`: frameon=False shifts plot axes to to the right and increases figure width
-* :ghissue:`2121`: geo\_demo fails on OpenBSD
-* :ghissue:`2091`: PEP8 conformance test fails without listing location of failures
-* :ghissue:`1738`: Issue building on OSX 10.8.2
-* :ghissue:`1080`: patch for building with mingw32
-* :ghissue:`867`: Plots with many subplots can be slow
-* :ghissue:`912`: FreeSans horizontal misalignment in PDF, SVG, PS backends
-* :ghissue:`1594`: python3.3m/longintrepr.h:49: error: ‘PY\_UINT32\_T’ does not name a type
-* :ghissue:`339`: Use scrollbars when figure size is larger than screen
-* :ghissue:`1520`: "\`TextPath\` imported but not used", says \`pyflakes\`
-* :ghissue:`1614`: Segfault ufunc\_object.c:1750
-* :ghissue:`1627`: TkAgg backend: draw\_if\_interactive() broken?
-* :ghissue:`1309`: matplotlib.tests.test\_mathtext.mathfont\_cm\_23\_test.test makes python debug to crash
-* :ghissue:`338`: Interactive Compass object
-* :ghissue:`1805`: Each pyplot function deserves its own page
-* :ghissue:`1371`: vertical alignment of yticklabels fails on \`0\`
-* :ghissue:`1363`: error in matplotlib.pyplot.plot\_date doku?
-* :ghissue:`1308`: plot\_date should not use markers by default
-* :ghissue:`1245`: Cairo Backend: print\_surface
-* :ghissue:`224`: Faster implementation of draw\_rubberband in GTK+ backend
-* :ghissue:`429`: undefined behavior of figure.add\_subplot() once subplot is modified.
-* :ghissue:`2673`: 'key\_press\_event' registering keypresses as alt-key combo (win8, python3.3, matplotlib 1.3.1)
-* :ghissue:`666`: griddata constant spacing check needs tweaking
-* :ghissue:`2717`: Unexpected behaviour in errorbar
-* :ghissue:`2724`: Documentation for WeekdayLocator.byweekday parameter incorrect?
-* :ghissue:`2723`: Backend selection without $DISPLAY available
-* :ghissue:`2592`: api docs for matplotlib.artist.get and matplotlib.artist.getp are exactly the same
-* :ghissue:`1747`: NotImplementedError: cannot remove artist
-* :ghissue:`2525`: cfl() doesn't clear gcf().\_suptitle
-* :ghissue:`2709`: matplotlib colors darker than equivalent matlab colors
-* :ghissue:`1715`: axes.get\_xticklabels() doesn't return all tick labels.
-* :ghissue:`1769`: FunctionAnimator tries to take length of iterator
-* :ghissue:`2653`: Inconsistent streamplot grid size
-* :ghissue:`2530`: AnchoredOffsetBox not taken into account by bbox\_inches='tight'
-* :ghissue:`1809`: Delaunay bug: bad triangulations (intersecting triangles)
-* :ghissue:`2660`: Error with \_compute\_convex\_hull on certain triangulations. 
-* :ghissue:`2583`: Pylab figure becomes unresponsive after an error
-* :ghissue:`1958`: Macosx: Retina displays are not supported
-* :ghissue:`2681`: Plotting a matrix fails with maximum recursion depth exceeded.
-* :ghissue:`2607`: Allow global customization of ticker params
-* :ghissue:`2672`: Exporting 3d plots as u3d files
-* :ghissue:`2674`: properties instead of set\_ and get\_
-* :ghissue:`2658`: "float() argument must be a string or a number" when saving a png
-* :ghissue:`2593`: I'd like to see axes.get\_label() when clicking on 'Edit curves lines and axes parameters' after plt.show()
-* :ghissue:`532`: Figure.tight\_layout() error or doesn't work on Win with wxPython
-* :ghissue:`2638`: TypeError: Cannot cast scalar from dtype('float64') to dtype('int64') according to the rule 'same\_kind'
-* :ghissue:`1151`: FigureManagerQT used in new\_figure\_manager of Qt4Agg backend
-* :ghissue:`1451`: 3D animation example no longer works.
-* :ghissue:`1172`: Axes.tick\_params() fails with labelsize=<string> and direction='out'
-* :ghissue:`2609`: to\_rgb(float) or to\_rgb(str(flot))
-* :ghissue:`2482`: animation fails to create a movie with 'ffmpeg\_file' backend
-* :ghissue:`2443`: Fix PEP8 test failures on master
-* :ghissue:`1545`: gtk backend should switch to gtk.Builder
-* :ghissue:`1646`: Interactive mode broken in Qt4Agg backend?
-* :ghissue:`1745`: hist again... normed=True, stacked=True doesn't make sense
-* :ghissue:`1196`: errorbar bars don't respect zorder
-* :ghissue:`2412`: FAIL: matplotlib.tests.test\_axes.test\_single\_point.test
-* :ghissue:`2411`: FAIL: matplotlib.tests.test\_axes.test\_symlog2.test
-* :ghissue:`2410`: matplotlib.tests.test\_image.test\_rasterize\_dpi.test failure
-* :ghissue:`2329`: set\_position on Annotation is not working
-* :ghissue:`2614`: Initialization fails if get\_home() returns None
-* :ghissue:`2473`: black background on rasterized quadmesh in ps output
-* :ghissue:`697`: Partial coloring of text
-* :ghissue:`1625`: saving pgf to a stream is not supported
-* :ghissue:`2565`: mlab.psd behavior change
-* :ghissue:`2589`: mathtext rendered does't work with bundled pyparsing.py module
-* :ghissue:`2542`: Visual glitch in Axes borders
-* :ghissue:`2400`: Feature request: rc parameter for 'useOffset=False'
-* :ghissue:`461`: ScalarFormatter creates useless offsets by default
-* :ghissue:`2572`: PPA for Precise
-* :ghissue:`2564`: Axes3D scatter changes the color in version 1.2.1 during rotation
-* :ghissue:`2570`: matplotlib 1.3.0 doc build for mac osx 10.9 
-* :ghissue:`2364`: No official build of OSX version on the download page.
-* :ghissue:`2563`: Cannot hide axes ticks with log-scales
-* :ghissue:`2552`: after use('Agg'), the animate does not work well
-* :ghissue:`883`: bbox\_inches="tight" causes huge figures and text far outside figure frame
-* :ghissue:`2548`: Zoom/pan shifts displayed surface.
-* :ghissue:`2538`: streamplot hangs in application embedding Python interpreter
-* :ghissue:`2513`: Patch disconnected when moved to another axes.
-* :ghissue:`842`: Patch.update\_from does not preserve the facecolor when alpha is set. 
-* :ghissue:`792`: Make tests pass under \*all\* freetype versions
-* :ghissue:`2252`: Transparent SVGs not rendered correctly in PDF with \`ipython nbconvert\`
-* :ghissue:`2505`: [Wishlist] fontproperties of table
-* :ghissue:`2501`: ttfFontProperty fails with invalid/misconfigured fonts
-* :ghissue:`2463`: \_tri breaks build on Cygwin
-* :ghissue:`1814`: ipython and matplotlib
-* :ghissue:`2293`: 1.3.0: type of \`hist\` return value changed
-* :ghissue:`2196`: 1.3.0rc4: FAIL: matplotlib.tests.test\_image.test\_rasterize\_dpi.test
-* :ghissue:`2377`: ConnectionPatch "axis fraction" failure when axesB contains a plot
-* :ghissue:`2454`: AxesImage.set\_cmap() and AxesImage.set\_clim() have no effects.
-* :ghissue:`947`: Explain @cleanup decorator in testing documentation
-* :ghissue:`2096`: Drawing a histplot crashes deeply inside matplotlib
-* :ghissue:`2419`: extra ticklocs and ticklabels when plotting with bar(log=True) in matplotlib >= 1.3
-* :ghissue:`2378`: issues with \`unicode\_literals\` and \`pysides.QtCore.Slot\`
-* :ghissue:`2403`: PGF backend tests failing
-* :ghissue:`2405`: Operator '<<' is deprecated, use '<<=' instead
-* :ghissue:`2342`: savefig PGF - RuntimeError: Cannot get window extent w/o renderer
-* :ghissue:`2398`: printing MouseEvents throws TypeError when button==None
-* :ghissue:`2397`: request : could the default windows font of matplotlib support an utf-8 "µ" ?
-* :ghissue:`2392`: PDF link for documentation of version 1.3.0 gets documentation for version 1.2.1
-* :ghissue:`2395`: Drawing arrows correctly in log scale plots is too hard
-* :ghissue:`2384`: Make background transparent by default when saving figure
-* :ghissue:`2388`: Set default for transparency savefig
-* :ghissue:`2376`: feature test pyparsing 2 bug instead of version check
-* :ghissue:`788`: font\_styles test failing for some people
-* :ghissue:`1115`: Pass text alignment information to the PDF, PGF and PS backends
-* :ghissue:`1121`: Cairo text is misaligned vertically
-* :ghissue:`1157`: Use automatic dependency installation
-* :ghissue:`1342`: Make test data install optional
-* :ghissue:`1658`: WebAgg backend blocks
-* :ghissue:`2021`: Running tests in parallel occasionally hangs in unpredictable ways
-* :ghissue:`2062`: Deprecate our IPython-related Sphinx directives
-* :ghissue:`2320`: fail to import matplotlib.pyplot
-* :ghissue:`2309`: use('module://') directive doesn't work as expected
-* :ghissue:`2356`: Bad xlim/ylim when using shared axes subplots and an empty subplot
-* :ghissue:`2362`: Non-ascii font name makes \`matplotlib.pyplot\` fail at import
-* :ghissue:`2296`: rc defaults incorrectly interpreted by colorbar
-* :ghissue:`2354`: Possible memory leaks reported by valgrind
-* :ghissue:`2349`: Plot errorbars as boxes instead of bars
-* :ghissue:`2299`: Mollweide projection no longer shows horizontal gridlines
-* :ghissue:`1648`: RuntimeError: No SFNT name table
-* :ghissue:`2134`: MatPlotLib Figure Freezing on Windows 
-* :ghissue:`2339`: Math text with path effects is rendered as plain text
-* :ghissue:`2337`: pylot tutorial's codes are missing statements
-* :ghissue:`2321`: PDF backend failure
-* :ghissue:`2318`: clean up of Qt namespace breaks PySides
-* :ghissue:`2323`: Axes cannot be animated using animation.py with blit
-* :ghissue:`2322`: Axes cannot be animated using animation.py with blit
-* :ghissue:`2244`: Upgrade requirement to pyparsing 2.0.1, and fix pyparsing deprecation warnings
-* :ghissue:`2109`: rcparam['axes.grid']=True   != axes.grid(True) ?
-* :ghissue:`197`: FigureCanvasMac.flush\_events() raises NotImplementedError
-* :ghissue:`2255`: XKCD-style doesn't work with LineCollection
-* :ghissue:`949`: add AOSA chapter link to docs?
-* :ghissue:`163`: Problem with errorbar in log scale
-* :ghissue:`2295`: Vertical text alignment in multi-line legend entries
-* :ghissue:`2274`: Figure editor incorrectly captures color properties
-* :ghissue:`2287`: Alpha values smaller than 1/256
-* :ghissue:`2284`: plt.hist(...  histtype='step') draws one line too much
-* :ghissue:`2272`: zombie webpages
-* :ghissue:`2269`: examples/showcase/xkcd.py does not show line randomization on Mac OS X
-* :ghissue:`2206`: 1.3.0rc4: FAIL: No such file or directory: u'.../doc/mpl\_toolkits/axes\_grid/examples/demo\_floating\_axis.py'
+    prev_whats_new/github_stats_*
diff --git a/doc/users/gridspec.rst b/doc/users/gridspec.rst
deleted file mode 100644
index b946fed05caf..000000000000
--- a/doc/users/gridspec.rst
+++ /dev/null
@@ -1,161 +0,0 @@
-.. _gridspec-guide:
-
-
-**********************************************
-Customizing Location of Subplot Using GridSpec
-**********************************************
-
-    ``GridSpec``
-        specifies the geometry of the grid that a subplot will be
-        placed. The number of rows and number of columns of the grid
-        need to be set. Optionally, the subplot layout parameters
-        (e.g., left, right, etc.) can be tuned.
-
-    ``SubplotSpec``
-        specifies the location of the subplot in the given *GridSpec*.
-
-    ``subplot2grid``
-        a helper function that is similar to "pyplot.subplot" but uses
-        0-based indexing and let subplot to occupy multiple cells.
-
-
-Basic Example of using subplot2grid
-===================================
-
-To use subplot2grid, you provide geometry of the grid and the location
-of the subplot in the grid. For a simple single-cell subplot::
-
-  ax = plt.subplot2grid((2,2),(0, 0))
-
-is identical to ::
-
-  ax = plt.subplot(2,2,1)
-
-Note that, unlike matplotlib's subplot, the index starts from 0 in gridspec.
-
-To create a subplot that spans multiple cells, ::
-
-  ax2 = plt.subplot2grid((3,3), (1, 0), colspan=2)
-  ax3 = plt.subplot2grid((3,3), (1, 2), rowspan=2)
-
-For example, the following commands  ::
-
-  ax1 = plt.subplot2grid((3,3), (0,0), colspan=3)
-  ax2 = plt.subplot2grid((3,3), (1,0), colspan=2)
-  ax3 = plt.subplot2grid((3,3), (1, 2), rowspan=2)
-  ax4 = plt.subplot2grid((3,3), (2, 0))
-  ax5 = plt.subplot2grid((3,3), (2, 1))
-
-creates
-
-.. plot:: users/plotting/examples/demo_gridspec01.py
-
-
-GridSpec and SubplotSpec
-========================
-
-You can create GridSpec explicitly and use them to create a Subplot.
-
-For example, ::
-
-  ax = plt.subplot2grid((2,2),(0, 0))
-
-is equal to ::
-
-  import matplotlib.gridspec as gridspec
-  gs = gridspec.GridSpec(2, 2)
-  ax = plt.subplot(gs[0, 0])
-
-A gridspec instance provides array-like (2d or 1d) indexing that
-returns the SubplotSpec instance. For, SubplotSpec that spans multiple
-cells, use slice. ::
-
-  ax2 = plt.subplot(gs[1,:-1])
-  ax3 = plt.subplot(gs[1:, -1])
-
-The above example becomes ::
-
-  gs = gridspec.GridSpec(3, 3)
-  ax1 = plt.subplot(gs[0, :])
-  ax2 = plt.subplot(gs[1,:-1])
-  ax3 = plt.subplot(gs[1:, -1])
-  ax4 = plt.subplot(gs[-1,0])
-  ax5 = plt.subplot(gs[-1,-2])
-
-.. plot:: users/plotting/examples/demo_gridspec02.py
-
-Adjust GridSpec layout
-======================
-
-When a GridSpec is explicitly used, you can adjust the layout
-parameters of subplots that are created from the gridspec. ::
-
-  gs1 = gridspec.GridSpec(3, 3)
-  gs1.update(left=0.05, right=0.48, wspace=0.05)
-
-This is similar to *subplots_adjust*, but it only affects the subplots
-that are created from the given GridSpec.
-
-The code below ::
-
-  gs1 = gridspec.GridSpec(3, 3)
-  gs1.update(left=0.05, right=0.48, wspace=0.05)
-  ax1 = plt.subplot(gs1[:-1, :])
-  ax2 = plt.subplot(gs1[-1, :-1])
-  ax3 = plt.subplot(gs1[-1, -1])
-
-  gs2 = gridspec.GridSpec(3, 3)
-  gs2.update(left=0.55, right=0.98, hspace=0.05)
-  ax4 = plt.subplot(gs2[:, :-1])
-  ax5 = plt.subplot(gs2[:-1, -1])
-  ax6 = plt.subplot(gs2[-1, -1])
-
-creates
-
-.. plot:: users/plotting/examples/demo_gridspec03.py
-
-GridSpec using SubplotSpec
-==========================
-
-You can create GridSpec from the SubplotSpec, in which case its layout
-parameters are set to that of the location of the given SubplotSpec. ::
-
-  gs0 = gridspec.GridSpec(1, 2)
-
-  gs00 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gs0[0])
-  gs01 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gs0[1])
-
-
-.. plot:: users/plotting/examples/demo_gridspec04.py
-
-
-A Complex Nested GridSpec using SubplotSpec
-===========================================
-
-Here's a more sophisticated example of nested gridspec where we put
-a box around each cell of the outer 4x4 grid, by hiding appropriate 
-spines in each of the inner 3x3 grids.
-
-.. plot:: users/plotting/examples/demo_gridspec06.py
-
-
-GridSpec with Varying Cell Sizes
-================================
-
-By default, GridSpec creates cells of equal sizes. You can adjust
-relative heights and widths of rows and columns. Note that absolute
-values are meaningless, only their relative ratios matter. ::
-
-  gs = gridspec.GridSpec(2, 2,
-                         width_ratios=[1,2],
-                         height_ratios=[4,1]
-                         )
-
-  ax1 = plt.subplot(gs[0])
-  ax2 = plt.subplot(gs[1])
-  ax3 = plt.subplot(gs[2])
-  ax4 = plt.subplot(gs[3])
-
-
-.. plot:: users/plotting/examples/demo_gridspec05.py
-
diff --git a/doc/users/image_tutorial.rst b/doc/users/image_tutorial.rst
deleted file mode 100644
index 5e9ac0d05758..000000000000
--- a/doc/users/image_tutorial.rst
+++ /dev/null
@@ -1,395 +0,0 @@
-.. _image_tutorial:
-
-
-**************
-Image tutorial
-**************
-
-.. _imaging_startup:
-
-Startup commands
-===================
-
-In this tutorial we will work interactively with images. To do so we will use
-the IPython shell. You can start it with::
-    
-    $ipython
-
-At the very least, you'll need to have access to the
-:func:`~matplotlib.pyplot.imshow` function. The easy way for an interactive
-environment: is to use the matplotlib API (see :ref:`artist-tutorial`) where
-you use explicit 
-`namespaces <http://bytebaker.com/2008/07/30/python-namespaces/>`_ and control 
-object creation, etc...::
-
-.. sourcecode:: ipython
-
-   In [1]: import matplotlib.pyplot as plt
-   In [2]: import matplotlib.image as mpimg
-   In [3]: import numpy as np
-
-You can now access functions like :func:`~matplotlib.pyplot.imshow` by using:
-`plt.imshow(yourimage)`. You can learn more about these functions in the
-:ref:`pyplot-tutorial`.
-
-
-.. _importing_data:
-
-Importing image data into Numpy arrays
-===============================================
-
-Plotting image data is supported by the `Pillow
-<http://python-imaging.github.io/>`_).  Natively, matplotlib only
-supports PNG images.  The commands shown below fall back on Pillow if the
-native read fails.
-
-The image used in this example is a PNG file, but keep that Pillow
-requirement in mind for your own data.
-
-Here's the image we're going to play with:
-
-.. image:: ../_static/stinkbug.png
-
-It's a 24-bit RGB PNG image (8 bits for each of R, G, B).  Depending
-on where you get your data, the other kinds of image that you'll most
-likely encounter are RGBA images, which allow for transparency, or
-single-channel grayscale (luminosity) images.  You can right click on
-it and choose "Save image as" to download it to your computer for the
-rest of this tutorial.
-
-And here we go...
-
-.. sourcecode:: ipython
-
-    In [4]: img=mpimg.imread('stinkbug.png')
-    Out[4]:
-    array([[[ 0.40784314,  0.40784314,  0.40784314],
-            [ 0.40784314,  0.40784314,  0.40784314],
-            [ 0.40784314,  0.40784314,  0.40784314],
-            ...,
-            [ 0.42745098,  0.42745098,  0.42745098],
-            [ 0.42745098,  0.42745098,  0.42745098],
-            [ 0.42745098,  0.42745098,  0.42745098]],
-
-           [[ 0.41176471,  0.41176471,  0.41176471],
-            [ 0.41176471,  0.41176471,  0.41176471],
-            [ 0.41176471,  0.41176471,  0.41176471],
-            ...,
-            [ 0.42745098,  0.42745098,  0.42745098],
-            [ 0.42745098,  0.42745098,  0.42745098],
-            [ 0.42745098,  0.42745098,  0.42745098]],
-
-           [[ 0.41960785,  0.41960785,  0.41960785],
-            [ 0.41568628,  0.41568628,  0.41568628],
-            [ 0.41568628,  0.41568628,  0.41568628],
-            ...,
-            [ 0.43137255,  0.43137255,  0.43137255],
-            [ 0.43137255,  0.43137255,  0.43137255],
-            [ 0.43137255,  0.43137255,  0.43137255]],
-
-           ...,
-           [[ 0.43921569,  0.43921569,  0.43921569],
-            [ 0.43529412,  0.43529412,  0.43529412],
-            [ 0.43137255,  0.43137255,  0.43137255],
-            ...,
-            [ 0.45490196,  0.45490196,  0.45490196],
-            [ 0.4509804 ,  0.4509804 ,  0.4509804 ],
-            [ 0.4509804 ,  0.4509804 ,  0.4509804 ]],
-
-           [[ 0.44313726,  0.44313726,  0.44313726],
-            [ 0.44313726,  0.44313726,  0.44313726],
-            [ 0.43921569,  0.43921569,  0.43921569],
-            ...,
-            [ 0.4509804 ,  0.4509804 ,  0.4509804 ],
-            [ 0.44705883,  0.44705883,  0.44705883],
-            [ 0.44705883,  0.44705883,  0.44705883]],
-
-           [[ 0.44313726,  0.44313726,  0.44313726],
-            [ 0.4509804 ,  0.4509804 ,  0.4509804 ],
-            [ 0.4509804 ,  0.4509804 ,  0.4509804 ],
-            ...,
-            [ 0.44705883,  0.44705883,  0.44705883],
-            [ 0.44705883,  0.44705883,  0.44705883],
-            [ 0.44313726,  0.44313726,  0.44313726]]], dtype=float32)
-
-Note the dtype there - float32.  Matplotlib has rescaled the 8 bit
-data from each channel to floating point data between 0.0 and 1.0.  As
-a side note, the only datatype that Pillow can work with is uint8.
-Matplotlib plotting can handle float32 and uint8, but image
-reading/writing for any format other than PNG is limited to uint8
-data.  Why 8 bits? Most displays can only render 8 bits per channel
-worth of color gradation.  Why can they only render 8 bits/channel?
-Because that's about all the human eye can see.  More here (from a
-photography standpoint): `Luminous Landscape bit depth tutorial
-<http://www.luminous-landscape.com/tutorials/bit-depth.shtml>`_.
-
-Each inner list represents a pixel.  Here, with an RGB image, there
-are 3 values.  Since it's a black and white image, R, G, and B are all
-similar.  An RGBA (where A is alpha, or transparency), has 4 values
-per inner list, and a simple luminance image just has one value (and
-is thus only a 2-D array, not a 3-D array).  For RGB and RGBA images,
-matplotlib supports float32 and uint8 data types.  For grayscale,
-matplotlib supports only float32.  If your array data does not meet
-one of these descriptions, you need to rescale it.
-
-.. _plotting_data:
-
-Plotting numpy arrays as images
-===================================
-
-So, you have your data in a numpy array (either by importing it, or by
-generating it).  Let's render it.  In Matplotlib, this is performed
-using the :func:`~matplotlib.pyplot.imshow` function.  Here we'll grab
-the plot object.  This object gives you an easy way to manipulate the
-plot from the prompt.
-
-.. sourcecode:: ipython
-
-    In [5]: imgplot = plt.imshow(img)
-
-.. plot::
-
-        import matplotlib.pyplot as plt
-        import matplotlib.image as mpimg
-        import numpy as np
-        img = mpimg.imread('../_static/stinkbug.png')
-        imgplot = plt.imshow(img)
-
-You can also plot any numpy array - just remember that the datatype
-must be float32 (and range from 0.0 to 1.0) or uint8.
-
-.. _Pseudocolor:
-
-Applying pseudocolor schemes to image plots
--------------------------------------------------
-
-Pseudocolor can be a useful tool for enhancing contrast and
-visualizing your data more easily.  This is especially useful when
-making presentations of your data using projectors - their contrast is
-typically quite poor.
-
-Pseudocolor is only relevant to single-channel, grayscale, luminosity
-images.  We currently have an RGB image.  Since R, G, and B are all
-similar (see for yourself above or in your data), we can just pick one
-channel of our data:
-
-.. sourcecode:: ipython
-
-    In [6]: lum_img = img[:,:,0]
-
-This is array slicing.  You can read more in the `Numpy tutorial
-<http://www.scipy.org/Tentative_NumPy_Tutorial>`_.
-
-.. sourcecode:: ipython
-
-    In [7]: imgplot = plt.imshow(lum_img)
-
-.. plot::
-
-    import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
-    import numpy as np
-    img = mpimg.imread('../_static/stinkbug.png')
-    lum_img = img[:,:,0]
-    plt.imshow(lum_img)
-
-Now, with a luminosity image, the default colormap (aka lookup table,
-LUT), is applied.  The default is called jet.  There are plenty of
-others to choose from.  Let's set some others using the
-:meth:`~matplotlib.image.Image.set_cmap` method on our image plot
-object:
-
-.. sourcecode:: ipython
-
-    In [8]: imgplot.set_cmap('hot')
-
-.. plot::
-
-        import matplotlib.pyplot as plt
-        import matplotlib.image as mpimg
-        import numpy as np
-        img = mpimg.imread('../_static/stinkbug.png')
-        lum_img = img[:,:,0]
-        imgplot = plt.imshow(lum_img)
-        imgplot.set_cmap('hot')
-
-.. sourcecode:: ipython
-
-    In [9]: imgplot.set_cmap('spectral')
-
-.. plot::
-
-        import matplotlib.pyplot as plt
-        import matplotlib.image as mpimg
-        import numpy as np
-        img = mpimg.imread('../_static/stinkbug.png')
-        lum_img = img[:,:,0]
-        imgplot = plt.imshow(lum_img)
-        imgplot.set_cmap('spectral')
-
-There are many other colormap schemes available.  See the `list and
-images of the colormaps
-<../examples/color/colormaps_reference.html>`_.
-
-.. _`Color Bars`:
-
-Color scale reference
-------------------------
-
-It's helpful to have an idea of what value a color represents.  We can
-do that by adding color bars.  It's as easy as one line:
-
-.. sourcecode:: ipython
-
-    In [10]: plt.colorbar()
-
-.. plot::
-
-            import matplotlib.pyplot as plt
-            import matplotlib.image as mpimg
-            import numpy as np
-            img = mpimg.imread('../_static/stinkbug.png')
-            lum_img = img[:,:,0]
-            imgplot = plt.imshow(lum_img)
-            imgplot.set_cmap('spectral')
-            plt.colorbar()
-
-This adds a colorbar to your existing figure.  This won't
-automatically change if you change you switch to a different
-colormap - you have to re-create your plot, and add in the colorbar
-again.
-
-.. _`Data ranges`:
-
-Examining a specific data range
----------------------------------
-
-Sometimes you want to enhance the contrast in your image, or expand
-the contrast in a particular region while sacrificing the detail in
-colors that don't vary much, or don't matter.  A good tool to find
-interesting regions is the histogram.  To create a histogram of our
-image data, we use the :func:`~matplotlib.pyplot.hist` function.
-
-.. sourcecode:: ipython
-
-    In[10]: plt.hist(lum_img.flatten(), 256, range=(0.0,1.0), fc='k', ec='k')
-
-.. plot::
-
-    import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
-    import numpy as np
-    img = mpimg.imread('../_static/stinkbug.png')
-    lum_img = img[:,:,0]
-    plt.hist(lum_img.flatten(), 256, range=(0.0,1.0), fc='black', ec='black')
-
-Most often, the "interesting" part of the image is around the peak,
-and you can get extra contrast by clipping the regions above and/or
-below the peak.  In our histogram, it looks like there's not much
-useful information in the high end (not many white things in the
-image).  Let's adjust the upper limit, so that we effectively "zoom in
-on" part of the histogram.  We do this by calling the
-:meth:`~matplotlib.image.Image.set_clim` method of the image plot
-object.
-
-.. sourcecode:: ipython
-
-    In[11]: imgplot.set_clim(0.0,0.7)
-
-.. plot::
-
-    import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
-    import numpy as np
-    fig = plt.figure()
-    a=fig.add_subplot(1,2,1)
-    img = mpimg.imread('../_static/stinkbug.png')
-    lum_img = img[:,:,0]
-    imgplot = plt.imshow(lum_img)
-    a.set_title('Before')
-    plt.colorbar(ticks=[0.1,0.3,0.5,0.7], orientation ='horizontal')
-    a=fig.add_subplot(1,2,2)
-    imgplot = plt.imshow(lum_img)
-    imgplot.set_clim(0.0,0.7)
-    a.set_title('After')
-    plt.colorbar(ticks=[0.1,0.3,0.5,0.7], orientation='horizontal')
-
-.. _Interpolation:
-
-Array Interpolation schemes
----------------------------
-
-Interpolation calculates what the color or value of a pixel "should"
-be, according to different mathematical schemes.  One common place
-that this happens is when you resize an image.  The number of pixels
-change, but you want the same information.  Since pixels are discrete,
-there's missing space.  Interpolation is how you fill that space.
-This is why your images sometimes come out looking pixelated when you
-blow them up.  The effect is more pronounced when the difference
-between the original image and the expanded image is greater.  Let's
-take our image and shrink it.  We're effectively discarding pixels,
-only keeping a select few.  Now when we plot it, that data gets blown
-up to the size on your screen.  The old pixels aren't there anymore,
-and the computer has to draw in pixels to fill that space.
-
-.. sourcecode:: ipython
-
-    In [8]: from PIL import Image
-    In [9]: img = Image.open('stinkbug.png')    # Open image as Pillow image object
-    In [10]: rsize = img.resize((img.size[0]/10,img.size[1]/10)) # Use Pillow to resize
-    In [11]: rsizeArr = np.asarray(rsize)  # Get array back
-    In [12]: imgplot = plt.imshow(rsizeArr)
-
-.. plot::
-
-    import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
-    import numpy as np
-    from PIL import Image
-    img = Image.open('../_static/stinkbug.png')  # opens the file using Pillow - it's not an array yet
-    rsize = img.resize((img.size[0]/10,img.size[1]/10))  # resize the image
-    rsizeArr = np.asarray(rsize)
-    lum_img = rsizeArr[:,:,0]
-    imgplot = plt.imshow(rsizeArr)
-
-Here we have the default interpolation, bilinear, since we did not
-give :func:`~matplotlib.pyplot.imshow` any interpolation argument.
-
-Let's try some others:
-
-.. sourcecode:: ipython
-
-    In [10]: imgplot.set_interpolation('nearest')
-
-.. plot::
-
-        import matplotlib.pyplot as plt
-        import matplotlib.image as mpimg
-        import numpy as np
-        from PIL import Image
-        img = Image.open('../_static/stinkbug.png')  # opens the file using Pillow - it's not an array yet
-        rsize = img.resize((img.size[0]/10,img.size[1]/10))  # resize the image
-        rsizeArr = np.asarray(rsize)
-        lum_img = rsizeArr[:,:,0]
-        imgplot = plt.imshow(rsizeArr)
-        imgplot.set_interpolation('nearest')
-
-.. sourcecode:: ipython
-
-    In [10]: imgplot.set_interpolation('bicubic')
-
-.. plot::
-
-        import matplotlib.pyplot as plt
-        import matplotlib.image as mpimg
-        import numpy as np
-        from PIL import Image
-        img = Image.open('../_static/stinkbug.png')  # opens the file using Pillow - it's not an array yet
-        rsize = img.resize((img.size[0]/10,img.size[1]/10))  # resize the image
-        rsizeArr = np.asarray(rsize)
-        lum_img = rsizeArr[:,:,0]
-        imgplot = plt.imshow(rsizeArr)
-        imgplot.set_interpolation('bicubic')
-
-Bicubic interpolation is often used when blowing up photos - people
-tend to prefer blurry over pixelated.
diff --git a/doc/users/index.rst b/doc/users/index.rst
index eca6241e139e..2991e7d2b324 100644
--- a/doc/users/index.rst
+++ b/doc/users/index.rst
@@ -1,26 +1,105 @@
+
 .. _users-guide-index:
 
-############
-User's Guide
-############
+.. redirect-from:: /contents
+.. redirect-from:: /users/explain
 
-.. htmlonly::
 
-    :Release: |version|
-    :Date: |today|
+Using Matplotlib
+================
 
-.. toctree::
-    :maxdepth: 2
+.. grid:: 1 1 2 2
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/quick_start
+
+        .. toctree::
+            :maxdepth: 1
+
+            faq.rst
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/figure/index
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/axes/index
+
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
 
-    intro.rst
-    configuration.rst
-    beginner.rst
-    developer.rst
-    whats_new.rst
-    github_stats.rst
-    license.rst
-    credits.rst
+            explain/artists/index
 
+    .. grid-item-card::
+        :padding: 2
 
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
 
+            explain/customizing
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/colors/index
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/text/index
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/animations/index
+
+    .. grid-item-card::
+        :padding: 2
+
+        .. toctree::
+            :maxdepth: 2
+            :includehidden:
+
+            explain/toolkits/index
+
+
+.. toctree::
+    :hidden:
 
+    getting_started/index
+    ../install/index
diff --git a/doc/users/index_text.rst b/doc/users/index_text.rst
deleted file mode 100644
index bba1f330299f..000000000000
--- a/doc/users/index_text.rst
+++ /dev/null
@@ -1,15 +0,0 @@
-.. _text-guide:
-
-Working with text
-#################
-
-.. toctree::
-
-    text_intro.rst
-    text_props.rst
-    mathtext.rst
-    pgf.rst
-    usetex.rst
-    annotations_intro.rst
-
-
diff --git a/doc/users/intro.rst b/doc/users/intro.rst
deleted file mode 100644
index 4a99955811f7..000000000000
--- a/doc/users/intro.rst
+++ /dev/null
@@ -1,96 +0,0 @@
-Introduction
-============
-
-matplotlib is a library for making 2D plots of arrays in `Python
-<http://www.python.org>`_.  Although it has its origins in emulating
-the MATLAB |reg| [*]_ graphics commands, it is
-independent of MATLAB, and can be used in a Pythonic, object oriented
-way.  Although matplotlib is written primarily in pure Python, it
-makes heavy use of `NumPy <http://www.numpy.org>`_ and other extension
-code to provide good performance even for large arrays.
-
-.. |reg| unicode:: 0xAE
-   :ltrim:
-
-matplotlib is designed with the philosophy that you should be able to
-create simple plots with just a few commands, or just one!  If you
-want to see a histogram of your data, you shouldn't need to
-instantiate objects, call methods, set properties, and so on; it
-should just work.
-
-For years, I used to use MATLAB exclusively for data analysis and
-visualization.  MATLAB excels at making nice looking plots easy.  When
-I began working with EEG data, I found that I needed to write
-applications to interact with my data, and developed an EEG analysis
-application in MATLAB.  As the application grew in complexity,
-interacting with databases, http servers, manipulating complex data
-structures, I began to strain against the limitations of MATLAB as a
-programming language, and decided to start over in Python.  Python
-more than makes up for all of MATLAB's deficiencies as a programming
-language, but I was having difficulty finding a 2D plotting package
-(for 3D `VTK <http://www.vtk.org/>`_ more than exceeds all of my
-needs).
-
-When I went searching for a Python plotting package, I had several
-requirements:
-
-* Plots should look great - publication quality.  One important
-  requirement for me is that the text looks good (antialiased, etc.)
-
-* Postscript output for inclusion with TeX documents
-
-* Embeddable in a graphical user interface for application
-  development
-
-* Code should be easy enough that I can understand it and extend
-  it
-
-* Making plots should be easy
-
-Finding no package that suited me just right, I did what any
-self-respecting Python programmer would do: rolled up my sleeves and
-dived in.  Not having any real experience with computer graphics, I
-decided to emulate MATLAB's plotting capabilities because that is
-something MATLAB does very well.  This had the added advantage that
-many people have a lot of MATLAB experience, and thus they can
-quickly get up to steam plotting in python.  From a developer's
-perspective, having a fixed user interface (the pylab interface) has
-been very useful, because the guts of the code base can be redesigned
-without affecting user code.
-
-The matplotlib code is conceptually divided into three parts: the
-*pylab interface* is the set of functions provided by
-:mod:`matplotlib.pylab` which allow the user to create plots with code
-quite similar to MATLAB figure generating code
-(:ref:`pyplot-tutorial`).  The *matplotlib frontend* or *matplotlib
-API* is the set of classes that do the heavy lifting, creating and
-managing figures, text, lines, plots and so on
-(:ref:`artist-tutorial`).  This is an abstract interface that knows
-nothing about output.  The *backends* are device-dependent drawing
-devices, aka renderers, that transform the frontend representation to
-hardcopy or a display device (:ref:`what-is-a-backend`).  Example
-backends: PS creates `PostScript®
-<http://www.adobe.com/products/postscript/>`_ hardcopy, SVG
-creates `Scalable Vector Graphics <http://www.w3.org/Graphics/SVG/>`_
-hardcopy, Agg creates PNG output using the high quality `Anti-Grain
-Geometry <http://agg.sourceforge.net/antigrain.com/index.html>`_
-library that ships with matplotlib, GTK embeds matplotlib in a
-`Gtk+ <http://www.gtk.org/>`_
-application, GTKAgg uses the Anti-Grain renderer to create a figure
-and embed it in a Gtk+ application, and so on for `PDF
-<http://www.adobe.com/products/acrobat/adobepdf.html>`_, `WxWidgets
-<http://www.wxpython.org/>`_, `Tkinter
-<http://docs.python.org/lib/module-Tkinter.html>`_, etc.
-
-matplotlib is used by many people in many different contexts.  Some
-people want to automatically generate PostScript files to send
-to a printer or publishers.  Others deploy matplotlib on a web
-application server to generate PNG output for inclusion in
-dynamically-generated web pages.  Some use matplotlib interactively
-from the Python shell in Tkinter on Windowsâ„¢. My primary use is to
-embed matplotlib in a Gtk+ EEG application that runs on Windows, Linux
-and Macintosh OS X.
-
-.. [*] MATLAB is a registered trademark of The MathWorks, Inc.
-
-
diff --git a/doc/users/legend_guide.rst b/doc/users/legend_guide.rst
deleted file mode 100644
index 8287a5ca071e..000000000000
--- a/doc/users/legend_guide.rst
+++ /dev/null
@@ -1,282 +0,0 @@
-.. _plotting-guide-legend:
-
-************
-Legend guide
-************
-
-.. currentmodule:: matplotlib.pyplot
-
-
-This legend guide is an extension of the documentation available at
-:func:`~matplotlib.pyplot.legend` - please ensure you are familiar with
-contents of that documentation before proceeding with this guide.
-
-
-This guide makes use of some common terms, which are documented here for clarity:
-
-.. glossary::
-
-    legend entry
-        A legend is made up of one or more legend entries. An entry is made up of
-        exactly one key and one label.
-
-    legend key
-        The colored/patterned marker to the left of each legend label.
-
-    legend label
-        The text which describes the handle represented by the key.
-
-    legend handle
-        The original object which is used to generate an appropriate entry in
-        the legend.
-
-
-Controlling the legend entries
-==============================
-
-Calling :func:`legend` with no arguments automatically fetches the legend
-handles and their associated labels. This functionality is equivalent to::
-
-    handles, labels = ax.get_legend_handles_labels()
-    ax.legend(handles, labels)
-
-The :meth:`~matplotlib.axes.Axes.get_legend_handles_labels` function returns
-a list of handles/artists which exist on the Axes which can be used to
-generate entries for the resulting legend - it is worth noting however that
-not all artists can be added to a legend, at which point a "proxy" will have
-to be created (see :ref:`proxy_legend_handles` for further details).
-
-For full control of what is being added to the legend, it is common to pass
-the appropriate handles directly to :func:`legend`::
-
-    line_up, = plt.plot([1,2,3], label='Line 2')
-    line_down, = plt.plot([3,2,1], label='Line 1')
-    plt.legend(handles=[line_up, line_down])
-
-In some cases, it is not possible to set the label of the handle, so it is
-possible to pass through the list of labels to :func:`legend`::
-
-    line_up, = plt.plot([1,2,3], label='Line 2')
-    line_down, = plt.plot([3,2,1], label='Line 1')
-    plt.legend([line_up, line_down], ['Line Up', 'Line Down'])
-
-
-.. _proxy_legend_handles:
-
-Creating artists specifically for adding to the legend (aka. Proxy artists)
-===========================================================================
-
-Not all handles can be turned into legend entries automatically,
-so it is often necessary to create an artist which *can*. Legend handles
-don't have to exists on the Figure or Axes in order to be used.
-
-Suppose we wanted to create a legend which has an entry for some data which
-is represented by a red color:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.patches as mpatches
-    import matplotlib.pyplot as plt
-
-    red_patch = mpatches.Patch(color='red', label='The red data')
-    plt.legend(handles=[red_patch])
-
-    plt.show()
-
-There are many supported legend handles, instead of creating a patch of color
-we could have created a line with a marker:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.lines as mlines
-    import matplotlib.pyplot as plt
-
-    blue_line = mlines.Line2D([], [], color='blue', marker='*',
-                              markersize=15, label='Blue stars')
-    plt.legend(handles=[blue_line])
-
-    plt.show()
-
-
-Legend location
-===============
-
-The location of the legend can be specified by the keyword argument
-*loc*. Please see the documentation at :func:`legend` for more details.
-
-The ``bbox_to_anchor`` keyword gives a great degree of control for manual
-legend placement. For example, if you want your axes legend located at the
-figure's top right-hand corner instead of the axes' corner, simply specify
-the corner's location, and the coordinate system of that location::
-
-    plt.legend(bbox_to_anchor=(1, 1),
-               bbox_transform=plt.gcf().transFigure)
-
-More examples of custom legend placement:
-
-.. plot:: users/plotting/examples/simple_legend01.py
-   :include-source:
-
-
-Multiple legends on the same Axes
-=================================
-
-Sometimes it is more clear to split legend entries across multiple
-legends. Whilst the instinctive approach to doing this might be to call
-the :func:`legend` function multiple times, you will find that only one
-legend ever exists on the Axes. This has been done so that it is possible
-to call :func:`legend` repeatedly to update the legend to the latest
-handles on the Axes, so to persist old legend instances, we must add them
-manually to the Axes:
-
-.. plot:: users/plotting/examples/simple_legend02.py
-   :include-source:
-
-Legend Handlers
-===============
-
-In order to create legend entries, handles are given as an argument to an
-appropriate :class:`~matplotlib.legend_handler.HandlerBase` subclass.
-The choice of handler subclass is determined by the following rules:
-
-    1. Update :func:`~matplotlib.legend.Legend.get_legend_handler_map`
-       with the value in the ``handler_map`` keyword.
-    2. Check if the ``handle`` is in the newly created ``handler_map``.
-    3. Check if the type of ``handle`` is in the newly created
-       ``handler_map``.
-    4. Check if any of the types in the ``handle``'s mro is in the newly
-       created ``handler_map``.
-
-For completeness, this logic is mostly implemented in
-:func:`~matplotlib.legend.Legend.get_legend_handler`.
-
-All of this flexibility means that we have the necessary hooks to implement
-custom handlers for our own type of legend key.
-
-The simplest example of using custom handlers is to instantiate one of the
-existing :class:`~matplotlib.legend_handler.HandlerBase` subclasses. For the
-sake of simplicity, let's choose :class:`matplotlib.legend_handler.HandlerLine2D`
-which accepts a ``numpoints`` argument (note numpoints is a keyword
-on the :func:`legend` function for convenience). We can then pass the mapping
-of instance to Handler as a keyword to legend.
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    from matplotlib.legend_handler import HandlerLine2D
-
-    line1, = plt.plot([3,2,1], marker='o', label='Line 1')
-    line2, = plt.plot([1,2,3], marker='o', label='Line 2')
-
-    plt.legend(handler_map={line1: HandlerLine2D(numpoints=4)})
-
-As you can see, "Line 1" now has 4 marker points, where "Line 2" has 2 (the
-default). Try the above code, only change the map's key from ``line1`` to
-``type(line1)``. Notice how now both :class:`~matplotlib.lines.Line2D` instances
-get 4 markers.
-
-Along with handlers for complex plot types such as errorbars, stem plots
-and histograms, the default ``handler_map`` has a special ``tuple`` handler
-(:class:`~matplotlib.legend_handler.HandlerTuple`) which simply plots
-the handles on top of one another for each item in the given tuple. The
-following example demonstrates combining two legend keys on top of one another:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    from numpy.random import randn
-
-    z = randn(10)
-
-    red_dot, = plt.plot(z, "ro", markersize=15)
-    # Put a white cross over some of the data.
-    white_cross, = plt.plot(z[:5], "w+", markeredgewidth=3, markersize=15)
-
-    plt.legend([red_dot, (red_dot, white_cross)], ["Attr A", "Attr A+B"])
-
-
-Implementing a custom legend handler
-------------------------------------
-
-A custom handler can be implemented to turn any handle into a legend key (handles
-don't necessarily need to be matplotlib artists).
-The handler must implement a "legend_artist" method which returns a
-single artist for the legend to use. Signature details about the "legend_artist"
-are documented at :meth:`~matplotlib.legend_handler.HandlerBase.legend_artist`.
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    import matplotlib.patches as mpatches
-
-    class AnyObject(object):
-        pass
-
-    class AnyObjectHandler(object):
-        def legend_artist(self, legend, orig_handle, fontsize, handlebox):
-            x0, y0 = handlebox.xdescent, handlebox.ydescent
-            width, height = handlebox.width, handlebox.height
-            patch = mpatches.Rectangle([x0, y0], width, height, facecolor='red',
-                                       edgecolor='black', hatch='xx', lw=3,
-                                       transform=handlebox.get_transform())
-            handlebox.add_artist(patch)
-            return patch
-
-    plt.legend([AnyObject()], ['My first handler'],
-               handler_map={AnyObject: AnyObjectHandler()})
-
-Alternatively, had we wanted to globally accept ``AnyObject`` instances without
-needing to manually set the ``handler_map`` keyword all the time, we could have
-registered the new handler with::
-
-    from matplotlib.legend import Legend
-    Legend.update_default_handler_map({AnyObject: AnyObjectHandler()})
-
-Whilst the power here is clear, remember that there are already many handlers
-implemented and what you want to achieve may already be easily possible with
-existing classes. For example, to produce elliptical legend keys, rather than
-rectangular ones:
-
-.. plot::
-    :include-source:
-
-    from matplotlib.legend_handler import HandlerPatch
-    import matplotlib.pyplot as plt
-    import matplotlib.patches as mpatches
-
-
-    class HandlerEllipse(HandlerPatch):
-        def create_artists(self, legend, orig_handle,
-                           xdescent, ydescent, width, height, fontsize, trans):
-            center = 0.5 * width - 0.5 * xdescent, 0.5 * height - 0.5 * ydescent
-            p = mpatches.Ellipse(xy=center, width=width + xdescent,
-                                 height=height + ydescent)
-            self.update_prop(p, orig_handle, legend)
-            p.set_transform(trans)
-            return [p]
-
-
-    c = mpatches.Circle((0.5, 0.5), 0.25, facecolor="green",
-                        edgecolor="red", linewidth=3)
-    plt.gca().add_patch(c)
-
-    plt.legend([c], ["An ellipse, not a rectangle"],
-               handler_map={mpatches.Circle: HandlerEllipse()})
-
-Known examples of using legend
-==============================
-
-Here is a non-exhaustive list of the examples available involving legend
-being used in various ways:
-
-* :ref:`lines_bars_and_markers-scatter_with_legend`
-* :ref:`api-legend_demo`
-* :ref:`pylab_examples-contourf_hatching`
-* :ref:`pylab_examples-figlegend_demo`
-* :ref:`pylab_examples-finance_work2`
-* :ref:`pylab_examples-scatter_symbol`
diff --git a/doc/users/license.rst b/doc/users/license.rst
deleted file mode 100644
index 65f9cc78708e..000000000000
--- a/doc/users/license.rst
+++ /dev/null
@@ -1,141 +0,0 @@
-.. _license:
-
-***********************************************
-License
-***********************************************
-
-
-Matplotlib only uses BSD compatible code, and its license is based on
-the `PSF <http://www.python.org/psf/license>`_ license.  See the Open
-Source Initiative `licenses page
-<http://www.opensource.org/licenses>`_ for details on individual
-licenses. Non-BSD compatible licenses (e.g., LGPL) are acceptable in
-matplotlib toolkits.  For a discussion of the motivations behind the
-licencing choice, see :ref:`license-discussion`.
-
-Copyright Policy
-================
-
-John Hunter began matplotlib around 2003.  Since shortly before his
-passing in 2012, Michael Droettboom has been the lead maintainer of
-matplotlib, but, as has always been the case, matplotlib is the work
-of many.
-
-Prior to July of 2013, and the 1.3.0 release, the copyright of the
-source code was held by John Hunter.  As of July 2013, and the 1.3.0
-release, matplotlib has moved to a shared copyright model.
-
-matplotlib uses a shared copyright model. Each contributor maintains
-copyright over their contributions to matplotlib. But, it is important to
-note that these contributions are typically only changes to the
-repositories. Thus, the matplotlib source code, in its entirety, is not
-the copyright of any single person or institution.  Instead, it is the
-collective copyright of the entire matplotlib Development Team.  If
-individual contributors want to maintain a record of what
-changes/contributions they have specific copyright on, they should
-indicate their copyright in the commit message of the change, when
-they commit the change to one of the matplotlib repositories.
-
-The Matplotlib Development Team is the set of all contributors to the
-matplotlib project.  A full list can be obtained from the git version
-control logs.
-
-License agreement for matplotlib |version|
-==============================================
-
-1. This LICENSE AGREEMENT is between the Matplotlib Development Team
-("MDT"), and the Individual or Organization ("Licensee") accessing and
-otherwise using matplotlib software in source or binary form and its
-associated documentation.
-
-2. Subject to the terms and conditions of this License Agreement, MDT
-hereby grants Licensee a nonexclusive, royalty-free, world-wide license
-to reproduce, analyze, test, perform and/or display publicly, prepare
-derivative works, distribute, and otherwise use matplotlib |version|
-alone or in any derivative version, provided, however, that MDT's
-License Agreement and MDT's notice of copyright, i.e., "Copyright (c)
-2012-2013 Matplotlib Development Team; All Rights Reserved" are retained in
-matplotlib |version| alone or in any derivative version prepared by
-Licensee.
-
-3. In the event Licensee prepares a derivative work that is based on or
-incorporates matplotlib |version| or any part thereof, and wants to
-make the derivative work available to others as provided herein, then
-Licensee hereby agrees to include in any such work a brief summary of
-the changes made to matplotlib |version|.
-
-4. MDT is making matplotlib |version| available to Licensee on an "AS
-IS" basis.  MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
-IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND
-DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
-FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB |version|
-WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
-
-5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
-|version| FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
-LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
-MATPLOTLIB |version|, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
-THE POSSIBILITY THEREOF.
-
-6. This License Agreement will automatically terminate upon a material
-breach of its terms and conditions.
-
-7. Nothing in this License Agreement shall be deemed to create any
-relationship of agency, partnership, or joint venture between MDT and
-Licensee.  This License Agreement does not grant permission to use MDT
-trademarks or trade name in a trademark sense to endorse or promote
-products or services of Licensee, or any third party.
-
-8. By copying, installing or otherwise using matplotlib |version|,
-Licensee agrees to be bound by the terms and conditions of this License
-Agreement.
-
-License agreement for matplotlib versions prior to 1.3.0
-========================================================
-
-1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
-Individual or Organization ("Licensee") accessing and otherwise using
-matplotlib software in source or binary form and its associated
-documentation.
-
-2. Subject to the terms and conditions of this License Agreement, JDH
-hereby grants Licensee a nonexclusive, royalty-free, world-wide license
-to reproduce, analyze, test, perform and/or display publicly, prepare
-derivative works, distribute, and otherwise use matplotlib |version|
-alone or in any derivative version, provided, however, that JDH's
-License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
-2002-2009 John D. Hunter; All Rights Reserved" are retained in
-matplotlib |version| alone or in any derivative version prepared by
-Licensee.
-
-3. In the event Licensee prepares a derivative work that is based on or
-incorporates matplotlib |version| or any part thereof, and wants to
-make the derivative work available to others as provided herein, then
-Licensee hereby agrees to include in any such work a brief summary of
-the changes made to matplotlib |version|.
-
-4. JDH is making matplotlib |version| available to Licensee on an "AS
-IS" basis.  JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
-IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
-DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
-FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB |version|
-WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
-
-5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
-|version| FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
-LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
-MATPLOTLIB |version|, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
-THE POSSIBILITY THEREOF.
-
-6. This License Agreement will automatically terminate upon a material
-breach of its terms and conditions.
-
-7. Nothing in this License Agreement shall be deemed to create any
-relationship of agency, partnership, or joint venture between JDH and
-Licensee.  This License Agreement does not grant permission to use JDH
-trademarks or trade name in a trademark sense to endorse or promote
-products or services of Licensee, or any third party.
-
-8. By copying, installing or otherwise using matplotlib |version|,
-Licensee agrees to be bound by the terms and conditions of this License
-Agreement.
diff --git a/doc/users/mathtext.rst b/doc/users/mathtext.rst
deleted file mode 100644
index 35ffdef61786..000000000000
--- a/doc/users/mathtext.rst
+++ /dev/null
@@ -1,351 +0,0 @@
-.. _mathtext-tutorial:
-
-Writing mathematical expressions
-================================
-
-You can use a subset TeX markup in any matplotlib text string by
-placing it inside a pair of dollar signs ($).
-
-Note that you do not need to have TeX installed, since matplotlib
-ships its own TeX expression parser, layout engine and fonts.  The
-layout engine is a fairly direct adaptation of the layout algorithms
-in Donald Knuth's TeX, so the quality is quite good (matplotlib also
-provides a ``usetex`` option for those who do want to call out to TeX
-to generate their text (see :ref:`usetex-tutorial`).
-
-Any text element can use math text.  You should use raw strings
-(precede the quotes with an ``'r'``), and surround the math text with
-dollar signs ($), as in TeX.  Regular text and mathtext can be
-interleaved within the same string.  Mathtext can use the Computer
-Modern fonts (from (La)TeX), `STIX <http://www.aip.org/stixfonts/>`_
-fonts (with are designed to blend well with Times) or a Unicode font
-that you provide.  The mathtext font can be selected with the
-customization variable ``mathtext.fontset`` (see
-:ref:`customizing-matplotlib`)
-
-.. note::
-   On `"narrow" <http://wordaligned.org/articles/narrow-python>`_ builds
-   of Python, if you use the STIX fonts you should also set
-   ``ps.fonttype`` and ``pdf.fonttype`` to 3 (the default), not 42.
-   Otherwise `some characters will not be visible
-   <http://thread.gmane.org/gmane.comp.python.matplotlib.general/19963/focus=19978>`_.
-
-Here is a simple example::
-
-    # plain text
-    plt.title('alpha > beta')
-
-produces "alpha > beta".
-
-Whereas this::
-
-    # math text
-    plt.title(r'$\alpha > \beta$')
-
-produces ":math:`\alpha > \beta`".
-
-.. note::
-   Mathtext should be placed between a pair of dollar signs ($).  To
-   make it easy to display monetary values, e.g., "$100.00", if a
-   single dollar sign is present in the entire string, it will be
-   displayed verbatim as a dollar sign.  This is a small change from
-   regular TeX, where the dollar sign in non-math text would have to
-   be escaped ('\$').
-
-.. note::
-   While the syntax inside the pair of dollar signs ($) aims to be
-   TeX-like, the text outside does not.  In particular, characters
-   such as::
-
-     # $ % & ~ _ ^ \ { } \( \) \[ \]
-
-   have special meaning outside of math mode in TeX.  Therefore, these
-   characters will behave differently depending on the rcParam
-   ``text.usetex`` flag.  See the :ref:`usetex tutorial
-   <usetex-tutorial>` for more information.
-
-Subscripts and superscripts
----------------------------
-
-To make subscripts and superscripts, use the ``'_'`` and ``'^'`` symbols::
-
-    r'$\alpha_i > \beta_i$'
-
-.. math::
-
-    \alpha_i > \beta_i
-
-Some symbols automatically put their sub/superscripts under and over
-the operator.  For example, to write the sum of :math:`x_i` from :math:`0` to
-:math:`\infty`, you could do::
-
-    r'$\sum_{i=0}^\infty x_i$'
-
-.. math::
-
-    \sum_{i=0}^\infty x_i
-
-Fractions, binomials and stacked numbers
-----------------------------------------
-
-Fractions, binomials and stacked numbers can be created with the
-``\frac{}{}``, ``\binom{}{}`` and ``\stackrel{}{}`` commands,
-respectively::
-
-    r'$\frac{3}{4} \binom{3}{4} \stackrel{3}{4}$'
-
-produces
-
-.. math::
-
-    \frac{3}{4} \binom{3}{4} \stackrel{3}{4}
-
-Fractions can be arbitrarily nested::
-
-    r'$\frac{5 - \frac{1}{x}}{4}$'
-
-produces
-
-.. math::
-
-    \frac{5 - \frac{1}{x}}{4}
-
-Note that special care needs to be taken to place parentheses and brackets around
-fractions.  Doing things the obvious way produces brackets that are
-too small::
-
-    r'$(\frac{5 - \frac{1}{x}}{4})$'
-
-.. math ::
-
-    (\frac{5 - \frac{1}{x}}{4})
-
-The solution is to precede the bracket with ``\left`` and ``\right``
-to inform the parser that those brackets encompass the entire object::
-
-    r'$\left(\frac{5 - \frac{1}{x}}{4}\right)$'
-
-.. math ::
-
-    \left(\frac{5 - \frac{1}{x}}{4}\right)
-
-Radicals
---------
-
-Radicals can be produced with the ``\sqrt[]{}`` command.  For example::
-
-    r'$\sqrt{2}$'
-
-.. math ::
-
-    \sqrt{2}
-
-Any base can (optionally) be provided inside square brackets.  Note
-that the base must be a simple expression, and can not contain layout
-commands such as fractions or sub/superscripts::
-
-    r'$\sqrt[3]{x}$'
-
-.. math ::
-
-    \sqrt[3]{x}
-
-Fonts
------
-
-The default font is *italics* for mathematical symbols.
-
-.. note::
-
-   This default can be changed using the ``mathtext.default`` rcParam.
-   This is useful, for example, to use the same font as regular
-   non-math text for math text, by setting it to ``regular``.
-
-To change fonts, e.g., to write "sin" in a Roman font, enclose the text
-in a font command::
-
-    r'$s(t) = \mathcal{A}\mathrm{sin}(2 \omega t)$'
-
-.. math::
-
-    s(t) = \mathcal{A}\mathrm{sin}(2 \omega t)
-
-More conveniently, many commonly used function names that are typeset in a
-Roman font have shortcuts.  So the expression above could be written
-as follows::
-
-    r'$s(t) = \mathcal{A}\sin(2 \omega t)$'
-
-.. math::
-
-    s(t) = \mathcal{A}\sin(2 \omega t)
-
-Here "s" and "t" are variable in italics font (default), "sin" is in
-Roman font, and the amplitude "A" is in calligraphy font.  Note in the
-example above the caligraphy ``A`` is squished into the ``sin``.  You
-can use a spacing command to add a little whitespace between them::
-
-    s(t) = \mathcal{A}\/\sin(2 \omega t)
-
-.. math::
-
-    s(t) = \mathcal{A}\/\sin(2 \omega t)
-
-The choices available with all fonts are:
-
-    ============================ ==================================
-    Command                      Result
-    ============================ ==================================
-    ``\mathrm{Roman}``           :math:`\mathrm{Roman}`
-    ``\mathit{Italic}``          :math:`\mathit{Italic}`
-    ``\mathtt{Typewriter}``      :math:`\mathtt{Typewriter}`
-    ``\mathcal{CALLIGRAPHY}``    :math:`\mathcal{CALLIGRAPHY}`
-    ============================ ==================================
-
-.. role:: math-stix(math)
-   :fontset: stix
-
-When using the `STIX <http://www.aip.org/stixfonts/>`_ fonts, you also have the choice of:
-
-    ====================================== =========================================
-    Command                                Result
-    ====================================== =========================================
-    ``\mathbb{blackboard}``                :math-stix:`\mathbb{blackboard}`
-    ``\mathrm{\mathbb{blackboard}}``       :math-stix:`\mathrm{\mathbb{blackboard}}`
-    ``\mathfrak{Fraktur}``                 :math-stix:`\mathfrak{Fraktur}`
-    ``\mathsf{sansserif}``                 :math-stix:`\mathsf{sansserif}`
-    ``\mathrm{\mathsf{sansserif}}``        :math-stix:`\mathrm{\mathsf{sansserif}}`
-    ====================================== =========================================
-
-.. htmlonly::
-
-    ====================================== =========================================
-    ``\mathcircled{circled}``              :math-stix:`\mathcircled{circled}`
-    ====================================== =========================================
-
-There are also three global "font sets" to choose from, which are
-selected using the ``mathtext.fontset`` parameter in
-:ref:`matplotlibrc <matplotlibrc-sample>`.
-
-``cm``: **Computer Modern (TeX)**
-
-.. image:: ../_static/cm_fontset.png
-
-``stix``: **STIX** (designed to blend well with Times)
-
-.. image:: ../_static/stix_fontset.png
-
-``stixsans``: **STIX sans-serif**
-
-.. image:: ../_static/stixsans_fontset.png
-
-Additionally, you can use ``\mathdefault{...}`` or its alias
-``\mathregular{...}`` to use the font used for regular text outside of
-mathtext.  There are a number of limitations to this approach, most
-notably that far fewer symbols will be available, but it can be useful
-to make math expressions blend well with other text in the plot.
-
-Custom fonts
-~~~~~~~~~~~~
-
-mathtext also provides a way to use custom fonts for math.  This
-method is fairly tricky to use, and should be considered an
-experimental feature for patient users only.  By setting the rcParam
-``mathtext.fontset`` to ``custom``, you can then set the following
-parameters, which control which font file to use for a particular set
-of math characters.
-
-    ============================== =================================
-    Parameter                      Corresponds to
-    ============================== =================================
-    ``mathtext.it``                ``\mathit{}`` or default italic
-    ``mathtext.rm``                ``\mathrm{}`` Roman (upright)
-    ``mathtext.tt``                ``\mathtt{}`` Typewriter (monospace)
-    ``mathtext.bf``                ``\mathbf{}`` bold italic
-    ``mathtext.cal``               ``\mathcal{}`` calligraphic
-    ``mathtext.sf``                ``\mathsf{}`` sans-serif
-    ============================== =================================
-
-Each parameter should be set to a fontconfig font descriptor (as
-defined in the yet-to-be-written font chapter).
-
-.. TODO: Link to font chapter
-
-The fonts used should have a Unicode mapping in order to find any
-non-Latin characters, such as Greek.  If you want to use a math symbol
-that is not contained in your custom fonts, you can set the rcParam
-``mathtext.fallback_to_cm`` to ``True`` which will cause the mathtext
-system to use characters from the default Computer Modern fonts
-whenever a particular character can not be found in the custom font.
-
-Note that the math glyphs specified in Unicode have evolved over time,
-and many fonts may not have glyphs in the correct place for mathtext.
-
-Accents
--------
-
-An accent command may precede any symbol to add an accent above it.
-There are long and short forms for some of them.
-
-    ============================== =================================
-    Command                        Result
-    ============================== =================================
-    ``\acute a`` or ``\'a``        :math:`\acute a`
-    ``\bar a``                     :math:`\bar a`
-    ``\breve a``                   :math:`\breve a`
-    ``\ddot a`` or ``\"a``         :math:`\ddot a`
-    ``\dot a`` or ``\.a``          :math:`\dot a`
-    ``\grave a`` or ``\`a``        :math:`\grave a`
-    ``\hat a`` or ``\^a``          :math:`\hat a`
-    ``\tilde a`` or ``\~a``        :math:`\tilde a`
-    ``\vec a``                     :math:`\vec a`
-    ``\overline{abc}``             :math:`\overline{abc}`
-    ============================== =================================
-
-In addition, there are two special accents that automatically adjust
-to the width of the symbols below:
-
-    ============================== =================================
-    Command                        Result
-    ============================== =================================
-    ``\widehat{xyz}``              :math:`\widehat{xyz}`
-    ``\widetilde{xyz}``            :math:`\widetilde{xyz}`
-    ============================== =================================
-
-Care should be taken when putting accents on lower-case i's and j's.
-Note that in the following ``\imath`` is used to avoid the extra dot
-over the i::
-
-    r"$\hat i\ \ \hat \imath$"
-
-.. math::
-
-    \hat i\ \ \hat \imath
-
-Symbols
--------
-
-You can also use a large number of the TeX symbols, as in ``\infty``,
-``\leftarrow``, ``\sum``, ``\int``.
-
-.. math_symbol_table::
-
-If a particular symbol does not have a name (as is true of many of the
-more obscure symbols in the STIX fonts), Unicode characters can
-also be used::
-
-   ur'$\u23ce$'
-
-Example
--------
-
-Here is an example illustrating many of these features in context.
-
-.. plot:: pyplots/pyplot_mathtext.py
-   :include-source:
-
-
-
-
-
-
diff --git a/doc/users/navigation_toolbar.rst b/doc/users/navigation_toolbar.rst
deleted file mode 100644
index 6e327621ba4b..000000000000
--- a/doc/users/navigation_toolbar.rst
+++ /dev/null
@@ -1,140 +0,0 @@
-.. _navigation-toolbar:
-
-Interactive navigation
-======================
-
-.. image:: ../_static/toolbar.png
-
-All figure windows come with a navigation toolbar, which can be used
-to navigate through the data set.  Here is a description of each of
-the buttons at the bottom of the toolbar
-
-.. image:: ../../lib/matplotlib/mpl-data/images/home.png
-
-.. image:: ../../lib/matplotlib/mpl-data/images/back.png
-
-.. image:: ../../lib/matplotlib/mpl-data/images/forward.png
-
-The ``Forward`` and ``Back`` buttons
-    These are akin to the web browser forward and back buttons.  They
-    are used to navigate back and forth between previously defined
-    views.  They have no meaning unless you have already navigated
-    somewhere else using the pan and zoom buttons.  This is analogous
-    to trying to click ``Back`` on your web browser before visiting a
-    new page --nothing happens.  ``Home`` always takes you to the
-    first, default view of your data.  For ``Home``, ``Forward`` and
-    ``Back``, think web browser where data views are web pages.  Use
-    the pan and zoom to rectangle to define new views.
-
-.. image:: ../../lib/matplotlib/mpl-data/images/move.png
-
-The ``Pan/Zoom`` button
-    This button has two modes: pan and zoom.  Click the toolbar button
-    to activate panning and zooming, then put your mouse somewhere
-    over an axes.  Press the left mouse button and hold it to pan the
-    figure, dragging it to a new position.  When you release it, the
-    data under the point where you pressed will be moved to the point
-    where you released.  If you press 'x' or 'y' while panning the
-    motion will be constrained to the x or y axis, respectively.  Press
-    the right mouse button to zoom, dragging it to a new position.
-    The x axis will be zoomed in proportionate to the rightward
-    movement and zoomed out proportionate to the leftward movement.
-    Ditto for the y axis and up/down motions.  The point under your
-    mouse when you begin the zoom remains stationary, allowing you to
-    zoom to an arbitrary point in the figure.  You can use the
-    modifier keys 'x', 'y' or 'CONTROL' to constrain the zoom to the x
-    axis, the y axis, or aspect ratio preserve, respectively.
-
-    With polar plots, the pan and zoom functionality behaves
-    differently.  The radius axis labels can be dragged using the left
-    mouse button.  The radius scale can be zoomed in and out using the
-    right mouse button.
-
-.. image:: ../../lib/matplotlib/mpl-data/images/zoom_to_rect.png
-
-The ``Zoom-to-rectangle`` button
-    Click this toolbar button to activate this mode.  Put your mouse
-    somewhere over and axes and press the left mouse button.  Drag the
-    mouse while holding the button to a new location and release.  The
-    axes view limits will be zoomed to the rectangle you have defined.
-    There is also an experimental 'zoom out to rectangle' in this mode
-    with the right button, which will place your entire axes in the
-    region defined by the zoom out rectangle.
-
-.. image:: ../../lib/matplotlib/mpl-data/images/subplots.png
-
-The ``Subplot-configuration`` button
-    Use this tool to configure the parameters of the subplot: the
-    left, right, top, bottom, space between the rows and space between
-    the columns.
-
-.. image:: ../../lib/matplotlib/mpl-data/images/filesave.png
-
-The ``Save`` button
-    Click this button to launch a file save dialog.  You can save
-    files with the following extensions: ``png``, ``ps``, ``eps``,
-    ``svg`` and ``pdf``.
-
-
-.. _key-event-handling:
-
-Navigation Keyboard Shortcuts
------------------------------
-
-The following table holds all the default keys, which can be overwritten by use of your matplotlibrc (#keymap.\*).
-
-================================== =================================================
-Command                            Keyboard Shortcut(s)
-================================== =================================================
-Home/Reset                         **h** or **r** or **home**
-Back                               **c** or **left arrow** or **backspace**
-Forward                            **v** or **right arrow**
-Pan/Zoom                           **p**
-Zoom-to-rect                       **o**
-Save                               **ctrl** + **s**
-Toggle fullscreen                  **ctrl** + **f**
-Close plot                         **ctrl** + **w**
-Constrain pan/zoom to x axis       hold **x** when panning/zooming with mouse 
-Constrain pan/zoom to y axis       hold **y** when panning/zooming with mouse
-Preserve aspect ratio              hold **CONTROL** when panning/zooming with mouse
-Toggle grid                        **g** when mouse is over an axes
-Toggle x axis scale (log/linear)   **L** or **k**  when mouse is over an axes
-Toggle y axis scale (log/linear)   **l** when mouse is over an axes
-================================== =================================================
-
-If you are using :mod:`matplotlib.pyplot` the toolbar will be created
-automatically for every figure.  If you are writing your own user
-interface code, you can add the toolbar as a widget.  The exact syntax
-depends on your UI, but we have examples for every supported UI in the
-``matplotlib/examples/user_interfaces`` directory.  Here is some
-example code for GTK::
-
-
-    from matplotlib.figure import Figure
-    from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
-    from matplotlib.backends.backend_gtkagg import NavigationToolbar2GTKAgg as NavigationToolbar
-
-    win = gtk.Window()
-    win.connect("destroy", lambda x: gtk.main_quit())
-    win.set_default_size(400,300)
-    win.set_title("Embedding in GTK")
-
-    vbox = gtk.VBox()
-    win.add(vbox)
-
-    fig = Figure(figsize=(5,4), dpi=100)
-    ax = fig.add_subplot(111)
-    ax.plot([1,2,3])
-
-    canvas = FigureCanvas(fig)  # a gtk.DrawingArea
-    vbox.pack_start(canvas)
-    toolbar = NavigationToolbar(canvas, win)
-    vbox.pack_start(toolbar, False, False)
-
-    win.show_all()
-    gtk.main()
-
-
-
-
-
diff --git a/doc/users/next_whats_new.rst b/doc/users/next_whats_new.rst
new file mode 100644
index 000000000000..ddd82faf6731
--- /dev/null
+++ b/doc/users/next_whats_new.rst
@@ -0,0 +1,13 @@
+.. _whats-new:
+
+================
+Next what's new?
+================
+
+.. ifconfig:: releaselevel == 'dev'
+
+   .. toctree::
+      :glob:
+      :maxdepth: 1
+
+      next_whats_new/*
diff --git a/doc/users/next_whats_new/3d_speedups.rst b/doc/users/next_whats_new/3d_speedups.rst
new file mode 100644
index 000000000000..70e80bfbdccb
--- /dev/null
+++ b/doc/users/next_whats_new/3d_speedups.rst
@@ -0,0 +1,6 @@
+3D performance improvements
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Draw time for 3D plots has been improved, especially for surface and wireframe
+plots. Users should see up to a 10x speedup in some cases. This should make
+interacting with 3D plots much more responsive.
diff --git a/doc/users/next_whats_new/README.rst b/doc/users/next_whats_new/README.rst
new file mode 100644
index 000000000000..23efd0208edb
--- /dev/null
+++ b/doc/users/next_whats_new/README.rst
@@ -0,0 +1,47 @@
+:orphan:
+
+.. NOTE TO EDITORS OF THIS FILE
+   This file serves as the README directly available in the file system next to the
+   next_whats_new entries. The content between the ``whats-new-guide-*`` markers is
+   additionally included in the documentation page ``doc/devel/api_changes.rst``. Please
+   check that the page builds correctly after changing this file.
+
+
+Instructions for writing "What's new" entries
+=============================================
+.. whats-new-guide-start
+
+Each new feature (e.g. function, parameter, config value, behavior, ...) must
+be described through a "What's new" entry.
+
+Each entry is written into a separate file in the
+:file:`doc/users/next_whats_new/` directory. They are sorted and merged into
+:file:`whats_new.rst` during the release process.
+
+When adding an entry please look at the currently existing files to
+see if you can extend any of them.  If you create a file, name it
+something like :file:`cool_new_feature.rst` if you have added a brand new
+feature or something like :file:`updated_feature.rst` for extensions of
+existing features.
+
+Include contents of the form::
+
+    Section title for feature
+    -------------------------
+
+    A description of the feature from the user perspective. This should include
+    what the feature allows users to do and how the feature is used. Technical
+    details should be left out when they do not impact usage, for example
+    implementation details.
+
+    The description may include a a short instructive example, if it helps to
+    understand the feature.
+
+Please avoid using references in section titles, as it causes links to be
+confusing in the table of contents. Instead, ensure that a reference is
+included in the descriptive text. Use inline literals (double backticks)
+to denote code objects in the title.
+
+
+
+.. whats-new-guide-end
diff --git a/doc/users/next_whats_new/axis_inversion.rst b/doc/users/next_whats_new/axis_inversion.rst
new file mode 100644
index 000000000000..8d0e161b9ab2
--- /dev/null
+++ b/doc/users/next_whats_new/axis_inversion.rst
@@ -0,0 +1,9 @@
+Standard getters/setters for axis inversion state
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Whether an axis is inverted can now be queried and set using the `.axes.Axes`
+getters `~.Axes.get_xinverted`/`~.Axes.get_yinverted` and setters
+`~.Axes.set_xinverted`/`~.Axes.set_yinverted`.
+
+The previously existing methods (`.Axes.xaxis_inverted`, `.Axes.invert_xaxis`)
+are now discouraged (but not deprecated) due to their non-standard naming and
+behavior.
diff --git a/doc/users/next_whats_new/bar_label_padding_update.rst b/doc/users/next_whats_new/bar_label_padding_update.rst
new file mode 100644
index 000000000000..7a2ef73c41ca
--- /dev/null
+++ b/doc/users/next_whats_new/bar_label_padding_update.rst
@@ -0,0 +1,4 @@
+``bar_label`` supports individual padding per label
+---------------------------------------------------
+``bar_label`` will now accept both a float value or an array-like for
+padding. The array-like defines the padding for each label individually.
diff --git a/doc/users/next_whats_new/color_cycle_from_sequence.rst b/doc/users/next_whats_new/color_cycle_from_sequence.rst
new file mode 100644
index 000000000000..0f9214c6fce3
--- /dev/null
+++ b/doc/users/next_whats_new/color_cycle_from_sequence.rst
@@ -0,0 +1,9 @@
+Setting the default color cycle to a named color sequence
+---------------------------------------------------------
+
+The default color cycle may now be configured in the ``matplotlibrc`` file or
+a style file to use any of the :doc:`/gallery/color/color_sequences`.  For example
+
+.. code-block:: none
+
+   axes.prop_cycle : cycler(color='Accent')
diff --git a/doc/users/next_whats_new/colormap_bad_under_over.rst b/doc/users/next_whats_new/colormap_bad_under_over.rst
new file mode 100644
index 000000000000..772d47e4123d
--- /dev/null
+++ b/doc/users/next_whats_new/colormap_bad_under_over.rst
@@ -0,0 +1,23 @@
+Colormaps support giving colors for bad, under and over values on creation
+--------------------------------------------------------------------------
+
+Colormaps gained keyword arguments ``bad``, ``under``, and ``over`` to
+specify these values on creation. Previously, these values would have to
+be set afterwards using one of `~.Colormap.set_bad`, `~.Colormap.set_under`,
+`~.Colormap.set_bad`, `~.Colormap.set_extremes`, `~.Colormap.with_extremes`.
+
+It is recommended to use the new functionality, e.g.::
+
+    cmap = ListedColormap(colors, bad="red", under="darkblue", over="purple")
+
+instead of::
+
+    cmap = ListedColormap(colors).with_extremes(
+        bad="red", under="darkblue", over="purple")
+
+or::
+
+   cmap = ListedColormap(colors)
+   cmap.set_bad("red")
+   cmap.set_under("darkblue")
+   cmap.set_over("purple")
diff --git a/doc/users/next_whats_new/colormap_with_alpha b/doc/users/next_whats_new/colormap_with_alpha
new file mode 100644
index 000000000000..7bc9a84618a2
--- /dev/null
+++ b/doc/users/next_whats_new/colormap_with_alpha
@@ -0,0 +1,5 @@
+Tuning transparency of colormaps
+--------------------------------
+The new method `.Colormap.with_alpha` allows to create a new colormap with the same
+color values but a new uniform alpha value. This is handy if you want to modify only
+the transparency of mapped colors for an Artist.
diff --git a/doc/users/next_whats_new/depthshading_improvement.rst b/doc/users/next_whats_new/depthshading_improvement.rst
new file mode 100644
index 000000000000..8e5c04e84b8c
--- /dev/null
+++ b/doc/users/next_whats_new/depthshading_improvement.rst
@@ -0,0 +1,39 @@
+3D depth-shading fix
+--------------------
+
+Previously, a slightly buggy method of estimating the visual "depth" of 3D
+items could lead to sudden and unexpected changes in transparency as the plot
+orientation changed.
+
+Now, the behavior has been made smooth and predictable. A new parameter
+``depthshade_minalpha`` has also been added to allow users to set the minimum
+transparency level. Depth-shading is an option for Patch3DCollections and
+Path3DCollections, including 3D scatter plots.
+
+The default values for ``depthshade`` and ``depthshade_minalpha`` are now also
+controlled via rcParams, with values of ``True`` and ``0.3`` respectively.
+
+A simple example:
+
+.. plot::
+    :include-source: true
+    :alt: A 3D scatter plot with depth-shading enabled.
+
+    import matplotlib.pyplot as plt
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection="3d")
+
+    X = [i for i in range(10)]
+    Y = [i for i in range(10)]
+    Z = [i for i in range(10)]
+    S = [(i + 1) * 400 for i in range(10)]
+
+    ax.scatter(
+        xs=X, ys=Y, zs=Z, s=S,
+        depthshade=True,
+        depthshade_minalpha=0.3,
+    )
+    ax.view_init(elev=10, azim=-150, roll=0)
+
+    plt.show()
diff --git a/doc/users/next_whats_new/figsize_unit.rst b/doc/users/next_whats_new/figsize_unit.rst
new file mode 100644
index 000000000000..ded95d9930a5
--- /dev/null
+++ b/doc/users/next_whats_new/figsize_unit.rst
@@ -0,0 +1,9 @@
+Figure size units
+-----------------
+
+When creating figures, it is now possible to define figure sizes in cm or pixel.
+
+Up to now the figure size is specified via ``plt.figure(..., figsize=(6, 4))``,
+and the given numbers are interpreted as inches. It is now possible to add a
+unit string to the tuple, i.e. ``plt.figure(..., figsize=(600, 400, "px"))``.
+Supported unit strings are "in", "cm", "px".
diff --git a/doc/users/next_whats_new/gif_savefig.rst b/doc/users/next_whats_new/gif_savefig.rst
new file mode 100644
index 000000000000..e6f4732e8b95
--- /dev/null
+++ b/doc/users/next_whats_new/gif_savefig.rst
@@ -0,0 +1,6 @@
+Saving figures as GIF works again
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+According to the figure documentation, the ``savefig`` method supports the
+GIF format with the file extension ``.gif``. However, GIF support had been
+broken since Matplotlib 2.0.0. It works again.
diff --git a/doc/users/next_whats_new/grouped_bar.rst b/doc/users/next_whats_new/grouped_bar.rst
new file mode 100644
index 000000000000..af57c71b8a3a
--- /dev/null
+++ b/doc/users/next_whats_new/grouped_bar.rst
@@ -0,0 +1,26 @@
+Grouped bar charts
+------------------
+
+The new method `~.Axes.grouped_bar()` simplifies the creation of grouped bar charts
+significantly. It supports different input data types (lists of datasets, dicts of
+datasets, data in 2D arrays, pandas DataFrames), and allows for easy customization
+of placement via controllable distances between bars and between bar groups.
+
+Example:
+
+.. plot::
+    :include-source: true
+    :alt: Diagram of a grouped bar chart of 3 datasets with 2 categories.
+
+    import matplotlib.pyplot as plt
+
+    categories = ['A', 'B']
+    datasets = {
+        'dataset 0': [1, 11],
+        'dataset 1': [3, 13],
+        'dataset 2': [5, 15],
+    }
+
+    fig, ax = plt.subplots()
+    ax.grouped_bar(datasets, tick_labels=categories)
+    ax.legend()
diff --git a/doc/users/next_whats_new/last_resort_font.rst b/doc/users/next_whats_new/last_resort_font.rst
new file mode 100644
index 000000000000..307d4c2b8558
--- /dev/null
+++ b/doc/users/next_whats_new/last_resort_font.rst
@@ -0,0 +1,40 @@
+Missing glyphs use Last Resort font
+-----------------------------------
+
+Most fonts do not have 100% character coverage, and will fall back to a "not found"
+glyph for characters that are not provided. Often, this glyph will be minimal (e.g., the
+default DejaVu Sans "not found" glyph is just a rectangle.) Such minimal glyphs provide
+no context as to the characters that are missing.
+
+Now, missing glyphs will fall back to the `Last Resort font
+<https://github.com/unicode-org/last-resort-font>`__ produced by the Unicode Consortium.
+This special-purpose font provides glyphs that represent types of Unicode characters.
+These glyphs show a representative character from the missing Unicode block, and at
+larger sizes, more context to help determine which character and font are needed.
+
+To disable this fallback behaviour, set :rc:`font.enable_last_resort` to ``False``.
+
+.. plot::
+    :alt: An example of missing glyph behaviour, the first glyph from Bengali script,
+        second glyph from Hiragana, and the last glyph from the Unicode Private Use
+        Area. Multiple lines repeat the text with increasing font size from top to
+        bottom.
+
+    text_raw = r"'\N{Bengali Digit Zero}\N{Hiragana Letter A}\ufdd0'"
+    text = eval(text_raw)
+    sizes = [
+        (0.85, 8),
+        (0.80, 10),
+        (0.75, 12),
+        (0.70, 16),
+        (0.63, 20),
+        (0.55, 24),
+        (0.45, 32),
+        (0.30, 48),
+        (0.10, 64),
+    ]
+
+    fig = plt.figure()
+    fig.text(0.01, 0.90, f'Input: {text_raw}')
+    for y, size in sizes:
+        fig.text(0.01, y, f'{size}pt:{text}', fontsize=size)
diff --git a/doc/users/next_whats_new/log_contour_levels.rst b/doc/users/next_whats_new/log_contour_levels.rst
new file mode 100644
index 000000000000..da5cc2da6070
--- /dev/null
+++ b/doc/users/next_whats_new/log_contour_levels.rst
@@ -0,0 +1,4 @@
+Maximum levels on log-scaled contour plots are now respected
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+When plotting contours with a log norm, passing an integer value to the ``levels``
+argument to cap the maximum number of contour levels now works as intended.
diff --git a/doc/users/next_whats_new/logticks.rst b/doc/users/next_whats_new/logticks.rst
new file mode 100644
index 000000000000..b729cd990f91
--- /dev/null
+++ b/doc/users/next_whats_new/logticks.rst
@@ -0,0 +1,11 @@
+Improved selection of log-scale ticks
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The algorithm for selecting log-scale ticks (on powers of ten) has been
+improved.  In particular, it will now always draw as many ticks as possible
+(e.g., it will not draw a single tick if it was possible to fit two ticks); if
+subsampling ticks, it will prefer putting ticks on integer multiples of the
+subsampling stride (e.g., it prefers putting ticks at 10\ :sup:`0`, 10\ :sup:`3`,
+10\ :sup:`6` rather than 10\ :sup:`1`, 10\ :sup:`4`, 10\ :sup:`7`) if this
+results in the same number of ticks at the end; and it is now more robust
+against floating-point calculation errors.
diff --git a/doc/users/next_whats_new/separated_hatchcolor.rst b/doc/users/next_whats_new/separated_hatchcolor.rst
new file mode 100644
index 000000000000..a794fba2e515
--- /dev/null
+++ b/doc/users/next_whats_new/separated_hatchcolor.rst
@@ -0,0 +1,95 @@
+Separated ``hatchcolor`` from ``edgecolor``
+-------------------------------------------
+
+When the *hatchcolor* parameter is specified, it will be used for the hatch.
+If it is not specified, it will fall back to using :rc:`hatch.color`.
+The special value 'edge' uses the patch edgecolor, with a fallback to
+:rc:`patch.edgecolor` if the patch edgecolor is 'none'.
+Previously, hatch colors were the same as edge colors, with a fallback to
+:rc:`hatch.color` if the patch did not have an edge color.
+
+.. plot::
+    :include-source: true
+    :alt: Four Rectangle patches, each displaying the color of hatches in different specifications of edgecolor and hatchcolor. Top left has hatchcolor='black' representing the default value when both hatchcolor and edgecolor are not set, top right has edgecolor='blue' and hatchcolor='black' which remains when the edgecolor is set again, bottom left has edgecolor='red' and hatchcolor='orange' on explicit specification and bottom right has edgecolor='green' and hatchcolor='green' when the hatchcolor is not set.
+
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    from matplotlib.patches import Rectangle
+
+    fig, ax = plt.subplots()
+
+    # In this case, hatchcolor is orange
+    patch1 = Rectangle((0.1, 0.1), 0.3, 0.3, edgecolor='red', linewidth=2,
+                       hatch='//', hatchcolor='orange')
+    ax.add_patch(patch1)
+
+    # When hatchcolor is not specified, it matches edgecolor
+    # In this case, hatchcolor is green
+    patch2 = Rectangle((0.6, 0.1), 0.3, 0.3, edgecolor='green', linewidth=2,
+                       hatch='//', facecolor='none')
+    ax.add_patch(patch2)
+
+    # If both hatchcolor and edgecolor are not specified
+    # it will default to the 'patch.edgecolor' rcParam, which is black by default
+    # In this case, hatchcolor is black
+    patch3 = Rectangle((0.1, 0.6), 0.3, 0.3, hatch='//')
+    ax.add_patch(patch3)
+
+    # When using `hatch.color` in the `rcParams`
+    # edgecolor will now not overwrite hatchcolor
+    # In this case, hatchcolor is black
+    with plt.rc_context({'hatch.color': 'black'}):
+        patch4 = Rectangle((0.6, 0.6), 0.3, 0.3, edgecolor='blue', linewidth=2,
+                           hatch='//', facecolor='none')
+
+    # hatchcolor is black (it uses the `hatch.color` rcParam value)
+    patch4.set_edgecolor('blue')
+    # hatchcolor is still black (here, it does not update when edgecolor changes)
+    ax.add_patch(patch4)
+
+    ax.annotate("hatchcolor = 'orange'",
+                xy=(.5, 1.03), xycoords=patch1, ha='center', va='bottom')
+    ax.annotate("hatch color unspecified\nedgecolor='green'",
+                xy=(.5, 1.03), xycoords=patch2, ha='center', va='bottom')
+    ax.annotate("hatch color unspecified\nusing patch.edgecolor",
+                xy=(.5, 1.03), xycoords=patch3, ha='center', va='bottom')
+    ax.annotate("hatch.color='black'",
+                xy=(.5, 1.03), xycoords=patch4, ha='center', va='bottom')
+
+    plt.show()
+
+For collections, a sequence of colors can be passed to the *hatchcolor* parameter
+which will be cycled through for each hatch, similar to *facecolor* and *edgecolor*.
+
+Previously, if *edgecolor* was not specified, the hatch color would fall back to
+:rc:`patch.edgecolor`, but the alpha value would default to **1.0**, regardless of the
+alpha value of the collection. This behavior has been changed such that, if both
+*hatchcolor* and *edgecolor* are not specified, the hatch color will fall back
+to 'patch.edgecolor' with the alpha value of the collection.
+
+.. plot::
+    :include-source: true
+    :alt: A random scatter plot with hatches on the markers. The hatches are colored in blue, orange, and green, respectively. After the first three markers, the colors are cycled through again.
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    np.random.seed(19680801)
+
+    fig, ax = plt.subplots()
+
+    x = [29, 36, 41, 25, 32, 70, 62, 58, 66, 80, 58, 68, 62, 37, 48]
+    y = [82, 76, 48, 53, 62, 70, 84, 68, 55, 75, 29, 25, 12, 17, 20]
+    colors = ['tab:blue'] * 5 + ['tab:orange'] * 5 + ['tab:green'] * 5
+
+    ax.scatter(
+        x,
+        y,
+        s=800,
+        hatch="xxxx",
+        hatchcolor=colors,
+        facecolor="none",
+        edgecolor="black",
+    )
+
+    plt.show()
diff --git a/doc/users/next_whats_new/six_and_eight_color_petroff_color_cycles.rst b/doc/users/next_whats_new/six_and_eight_color_petroff_color_cycles.rst
new file mode 100644
index 000000000000..3b17b4f68868
--- /dev/null
+++ b/doc/users/next_whats_new/six_and_eight_color_petroff_color_cycles.rst
@@ -0,0 +1,21 @@
+Six and eight color Petroff color cycles
+----------------------------------------
+
+The six and eight color accessible Petroff color cycles are named 'petroff6' and
+'petroff8'.
+They compliment the existing 'petroff10' color cycle, added in `Matplotlib 3.10.0`_
+
+For more details see
+`Petroff, M. A.: "Accessible Color Sequences for Data Visualization"
+<https://arxiv.org/abs/2107.02270>`_.
+To load the 'petroff6' color cycle in place of the default::
+
+  import matplotlib.pyplot as plt
+  plt.style.use('petroff6')
+
+or to load the 'petroff8' color cycle::
+
+  import matplotlib.pyplot as plt
+  plt.style.use('petroff8')
+
+.. _Matplotlib 3.10.0: https://matplotlib.org/stable/users/prev_whats_new/whats_new_3.10.0.html#new-more-accessible-color-cycle
diff --git a/doc/users/next_whats_new/streamplot_integration_control.rst b/doc/users/next_whats_new/streamplot_integration_control.rst
new file mode 100644
index 000000000000..626bb33c8a95
--- /dev/null
+++ b/doc/users/next_whats_new/streamplot_integration_control.rst
@@ -0,0 +1,17 @@
+Streamplot integration control
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Two new options have been added to the `~.axes.Axes.streamplot` function that
+give the user better control of the streamline integration. The first is called
+``integration_max_step_scale`` and multiplies the default max step computed by the
+integrator. The second is called ``integration_max_error_scale`` and multiplies the
+default max error set by the integrator. Values for these parameters between
+zero and one reduce (tighten) the max step or error to improve streamline
+accuracy by performing more computation. Values greater than one increase
+(loosen) the max step or error to reduce computation time at the cost of lower
+streamline accuracy.
+
+The integrator defaults are both hand-tuned values and may not be applicable to
+all cases, so this allows customizing the behavior to specific use cases.
+Modifying only ``integration_max_step_scale`` has proved effective, but it may be useful
+to control the error as well.
diff --git a/doc/users/next_whats_new/streamplot_multiple_arrows.rst b/doc/users/next_whats_new/streamplot_multiple_arrows.rst
new file mode 100644
index 000000000000..25329baa4a87
--- /dev/null
+++ b/doc/users/next_whats_new/streamplot_multiple_arrows.rst
@@ -0,0 +1,22 @@
+Multiple arrows on a streamline
+-------------------------------
+
+A new ``num_arrows`` argument has been added to `~matplotlib.axes.Axes.streamplot` that
+allows more than one arrow to be added to each streamline:
+
+.. plot::
+    :include-source: true
+    :alt: One chart showing a streamplot. Each streamline has three arrows.
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    w = 3
+    Y, X = np.mgrid[-w:w:100j, -w:w:100j]
+    U = -1 - X**2 + Y
+    V = 1 + X - Y**2
+
+    fig, ax = plt.subplots()
+    ax.streamplot(X, Y, U, V, num_arrows=3)
+
+    plt.show()
diff --git a/doc/users/next_whats_new/subplots_adjust.rst b/doc/users/next_whats_new/subplots_adjust.rst
new file mode 100644
index 000000000000..e0848ec8a3dc
--- /dev/null
+++ b/doc/users/next_whats_new/subplots_adjust.rst
@@ -0,0 +1,7 @@
+Resetting the subplot parameters for figure.clear()
+---------------------------------------------------
+
+When calling `.Figure.clear()` the settings for `.gridspec.SubplotParams` are restored to the default values.
+
+`~.SubplotParams.to_dict` is a new method to get the subplot parameters as a dict,
+and `~.SubplotParams.reset` resets the parameters to the defaults.
diff --git a/doc/users/next_whats_new/type1_subset.rst b/doc/users/next_whats_new/type1_subset.rst
new file mode 100644
index 000000000000..b0ab0a4337e6
--- /dev/null
+++ b/doc/users/next_whats_new/type1_subset.rst
@@ -0,0 +1,9 @@
+PDF files created with usetex now embed subsets of Type 1 fonts
+---------------------------------------------------------------
+
+When using the PDF backend with the usetex feature,
+Matplotlib calls TeX to render the text and formulas in the figure.
+The fonts that get used are usually "Type 1" fonts.
+They used to be embedded in full
+but are now limited to the glyphs that are actually used in the figure.
+This reduces the size of the resulting PDF files.
diff --git a/doc/users/next_whats_new/violinplot_colors.rst b/doc/users/next_whats_new/violinplot_colors.rst
new file mode 100644
index 000000000000..179f868c4288
--- /dev/null
+++ b/doc/users/next_whats_new/violinplot_colors.rst
@@ -0,0 +1,8 @@
+``violinplot`` now accepts color arguments
+-------------------------------------------
+
+`~.Axes.violinplot` and `~.Axes.violin` now accept ``facecolor`` and
+``linecolor`` as input arguments. This means that users can set the color of
+violinplots as they make them, rather than setting the color of individual
+objects afterwards. It is possible to pass a single color to be used for all
+violins, or pass a sequence of colors.
diff --git a/doc/users/next_whats_new/xtick_ytick_rotation_modes.rst b/doc/users/next_whats_new/xtick_ytick_rotation_modes.rst
new file mode 100644
index 000000000000..56286824ada5
--- /dev/null
+++ b/doc/users/next_whats_new/xtick_ytick_rotation_modes.rst
@@ -0,0 +1,28 @@
+``xtick`` and ``ytick`` rotation modes
+--------------------------------------
+
+A new feature has been added for handling rotation of xtick and ytick
+labels more intuitively. The new `rotation modes <matplotlib.text.Text.set_rotation_mode>`
+"xtick" and "ytick" automatically adjust the alignment of rotated tick labels,
+so that the text points towards their anchor point, i.e. ticks.  This works for
+all four sides of the plot (bottom, top, left, right), reducing the need for
+manual adjustments when rotating labels.
+
+.. plot::
+    :include-source: true
+    :alt: Example of rotated xtick and ytick labels.
+
+    import matplotlib.pyplot as plt
+
+    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(7, 3.5), layout='constrained')
+
+    pos = range(5)
+    labels = ['label'] * 5
+    ax1.set_xticks(pos, labels, rotation=-45, rotation_mode='xtick')
+    ax1.set_yticks(pos, labels, rotation=45, rotation_mode='ytick')
+    ax2.xaxis.tick_top()
+    ax2.set_xticks(pos, labels, rotation=-45, rotation_mode='xtick')
+    ax2.yaxis.tick_right()
+    ax2.set_yticks(pos, labels, rotation=45, rotation_mode='ytick')
+
+    plt.show()
diff --git a/doc/users/path_tutorial.rst b/doc/users/path_tutorial.rst
deleted file mode 100644
index 4e1c1b708318..000000000000
--- a/doc/users/path_tutorial.rst
+++ /dev/null
@@ -1,187 +0,0 @@
-.. _path_tutorial:
-
-*************
-Path Tutorial
-*************
-
-The object underlying all of the :mod:`matplotlib.patch` objects is
-the :class:`~matplotlib.path.Path`, which supports the standard set of
-moveto, lineto, curveto commands to draw simple and compound outlines
-consisting of line segments and splines.  The ``Path`` is instantiated
-with a (N,2) array of (x,y) vertices, and a N-length array of path
-codes.  For example to draw the unit rectangle from (0,0) to (1,1), we
-could use this code
-
-.. plot::
-   :include-source:
-
-   import matplotlib.pyplot as plt
-   from matplotlib.path import Path
-   import matplotlib.patches as patches
-
-   verts = [
-       (0., 0.), # left, bottom
-       (0., 1.), # left, top
-       (1., 1.), # right, top
-       (1., 0.), # right, bottom
-       (0., 0.), # ignored
-       ]
-
-   codes = [Path.MOVETO,
-            Path.LINETO,
-            Path.LINETO,
-            Path.LINETO,
-            Path.CLOSEPOLY,
-            ]
-
-   path = Path(verts, codes)
-
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-   patch = patches.PathPatch(path, facecolor='orange', lw=2)
-   ax.add_patch(patch)
-   ax.set_xlim(-2,2)
-   ax.set_ylim(-2,2)
-   plt.show()
-
-
-The following path codes are recognized
-
-============== =================================  ====================================================================================================================
-Code           Vertices                           Description
-============== =================================  ====================================================================================================================
-``STOP``       1 (ignored)                        A marker for the end of the entire path (currently not required and ignored)
-``MOVETO``     1                                  Pick up the pen and move to the given vertex.
-``LINETO``     1                                  Draw a line from the current position to the given vertex.
-``CURVE3``     2 (1 control point, 1 endpoint)    Draw a quadratic Bézier curve from the current position, with the given control point, to the given end point.
-``CURVE4``     3 (2 control points, 1 endpoint)   Draw a cubic Bézier curve from the current position, with the given control points, to the given end point.
-``CLOSEPOLY``  1 (point itself is ignored)        Draw a line segment to the start point of the current polyline.
-============== =================================  ====================================================================================================================
-
-
-.. path-curves:
-
-
-Bézier example
-==============
-
-Some of the path components require multiple vertices to specify them:
-for example CURVE 3 is a `bézier
-<http://en.wikipedia.org/wiki/B%C3%A9zier_curve>`_ curve with one
-control point and one end point, and CURVE4 has three vertices for the
-two control points and the end point.  The example below shows a
-CURVE4 Bézier spline -- the bézier curve will be contained in the
-convex hull of the start point, the two control points, and the end
-point
-
-.. plot::
-   :include-source:
-
-   import matplotlib.pyplot as plt
-   from matplotlib.path import Path
-   import matplotlib.patches as patches
-
-   verts = [
-       (0., 0.),  # P0
-       (0.2, 1.), # P1
-       (1., 0.8), # P2
-       (0.8, 0.), # P3
-       ]
-
-   codes = [Path.MOVETO,
-            Path.CURVE4,
-            Path.CURVE4,
-            Path.CURVE4,
-            ]
-
-   path = Path(verts, codes)
-
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-   patch = patches.PathPatch(path, facecolor='none', lw=2)
-   ax.add_patch(patch)
-
-   xs, ys = zip(*verts)
-   ax.plot(xs, ys, 'x--', lw=2, color='black', ms=10)
-
-   ax.text(-0.05, -0.05, 'P0')
-   ax.text(0.15, 1.05, 'P1')
-   ax.text(1.05, 0.85, 'P2')
-   ax.text(0.85, -0.05, 'P3')
-
-   ax.set_xlim(-0.1, 1.1)
-   ax.set_ylim(-0.1, 1.1)
-   plt.show()
-
-.. compound_paths:
-
-Compound paths
-==============
-
-All of the simple patch primitives in matplotlib, Rectangle, Circle,
-Polygon, etc, are implemented with simple path.  Plotting functions
-like :meth:`~matplotlib.axes.Axes.hist` and
-:meth:`~matplotlib.axes.Axes.bar`, which create a number of
-primitives, e.g., a bunch of Rectangles, can usually be implemented more
-efficiently using a compound path.  The reason ``bar`` creates a list
-of rectangles and not a compound path is largely historical: the
-:class:`~matplotlib.path.Path` code is comparatively new and ``bar``
-predates it.  While we could change it now, it would break old code,
-so here we will cover how to create compound paths, replacing the
-functionality in bar, in case you need to do so in your own code for
-efficiency reasons, e.g., you are creating an animated bar plot.
-
-We will make the histogram chart by creating a series of rectangles
-for each histogram bar: the rectangle width is the bin width and the
-rectangle height is the number of datapoints in that bin.  First we'll
-create some random normally distributed data and compute the
-histogram.  Because numpy returns the bin edges and not centers, the
-length of ``bins`` is 1 greater than the length of ``n`` in the
-example below::
-
-    # histogram our data with numpy
-    data = np.random.randn(1000)
-    n, bins = np.histogram(data, 100)
-
-We'll now extract the corners of the rectangles.  Each of the
-``left``, ``bottom``, etc, arrays below is ``len(n)``, where ``n`` is
-the array of counts for each histogram bar::
-
-    # get the corners of the rectangles for the histogram
-    left = np.array(bins[:-1])
-    right = np.array(bins[1:])
-    bottom = np.zeros(len(left))
-    top = bottom + n
-
-Now we have to construct our compound path, which will consist of a
-series of ``MOVETO``, ``LINETO`` and ``CLOSEPOLY`` for each rectangle.
-For each rectangle, we need 5 vertices: 1 for the ``MOVETO``, 3 for
-the ``LINETO``, and 1 for the ``CLOSEPOLY``.  As indicated in the
-table above, the vertex for the closepoly is ignored but we still need
-it to keep the codes aligned with the vertices::
-
-    nverts = nrects*(1+3+1)
-    verts = np.zeros((nverts, 2))
-    codes = np.ones(nverts, int) * path.Path.LINETO
-    codes[0::5] = path.Path.MOVETO
-    codes[4::5] = path.Path.CLOSEPOLY
-    verts[0::5,0] = left
-    verts[0::5,1] = bottom
-    verts[1::5,0] = left
-    verts[1::5,1] = top
-    verts[2::5,0] = right
-    verts[2::5,1] = top
-    verts[3::5,0] = right
-    verts[3::5,1] = bottom
-
-All that remains is to create the path, attach it to a
-:class:`~matplotlib.patch.PathPatch`, and add it to our axes::
-
-    barpath = path.Path(verts, codes)
-    patch = patches.PathPatch(barpath, facecolor='green',
-      edgecolor='yellow', alpha=0.5)
-    ax.add_patch(patch)
-
-Here is the result
-
-.. plot:: pyplots/compound_path_demo.py
diff --git a/doc/users/patheffects_guide.rst b/doc/users/patheffects_guide.rst
deleted file mode 100644
index 120a5e784048..000000000000
--- a/doc/users/patheffects_guide.rst
+++ /dev/null
@@ -1,134 +0,0 @@
-.. _patheffects-guide:
-
-******************
-Path effects guide
-******************
-
-.. py:module:: matplotlib.patheffects
-
-
-Matplotlib's :mod:`~matplotlib.patheffects` module provides functionality to
-apply a multiple draw stage to any Artist which can be rendered via a
-:class:`~matplotlib.path.Path`.
-
-Artists which can have a path effect applied to them include :class:`~matplotlib.patches.Patch`,
-:class:`~matplotlib.lines.Line2D`, :class:`~matplotlib.collections.Collection` and even
-:class:`~matplotlib.text.Text`. Each artist's path effects can be controlled via the
-``set_path_effects`` method (:class:`~matplotlib.artist.Artist.set_path_effects`), which takes
-an iterable of :class:`AbstractPathEffect` instances.
-
-The simplest path effect is the :class:`Normal` effect, which simply
-draws the artist without any effect:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    import matplotlib.patheffects as path_effects
-
-    fig = plt.figure(figsize=(5, 1.5))
-    text = fig.text(0.5, 0.5, 'Hello path effects world!\nThis is the normal '
-                              'path effect.\nPretty dull, huh?',
-                    ha='center', va='center', size=20)
-    text.set_path_effects([path_effects.Normal()])
-    plt.show()
-
-Whilst the plot doesn't look any different to what you would expect without any path
-effects, the drawing of the text now been changed to use the the path effects
-framework, opening up the possibilities for more interesting examples.
-
-Adding a shadow
----------------
-
-A far more interesting path effect than :class:`Normal` is the
-drop-shadow, which we can apply to any of our path based artists. The classes
-:class:`SimplePatchShadow` and
-:class:`SimpleLineShadow` do precisely this by drawing either a filled
-patch or a line patch below the original artist:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    import matplotlib.patheffects as path_effects
-
-    text = plt.text(0.5, 0.5, 'Hello path effects world!',
-                    path_effects=[path_effects.withSimplePatchShadow()])
-
-    plt.plot([0, 3, 2, 5], linewidth=5, color='blue',
-             path_effects=[path_effects.SimpleLineShadow(),
-                           path_effects.Normal()])
-    plt.show()
-
-
-Notice the two approaches to setting the path effects in this example. The
-first uses the ``with*`` classes to include the desired functionality automatically
-followed with the "normal" effect, whereas the latter explicitly defines the two path
-effects to draw.
-
-Making an artist stand out
---------------------------
-
-One nice way of making artists visually stand out is to draw an outline in a bold
-color below the actual artist. The :class:`Stroke` path effect
-makes this a relatively simple task:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    import matplotlib.patheffects as path_effects
-
-    fig = plt.figure(figsize=(7, 1))
-    text = fig.text(0.5, 0.5, 'This text stands out because of\n'
-                              'its black border.', color='white',
-                              ha='center', va='center', size=30)
-    text.set_path_effects([path_effects.Stroke(linewidth=3, foreground='black'),
-                           path_effects.Normal()])
-    plt.show()
-
-It is important to note that this effect only works because we have drawn the text
-path twice; once with a thick black line, and then once with the original text
-path on top.
-
-You may have noticed that the keywords to :class:`Stroke` and
-:class:`SimplePatchShadow` and :class:`SimpleLineShadow` are not the usual Artist
-keywords (such as ``facecolor`` and ``edgecolor`` etc.). This is because with these
-path effects we are operating at lower level of matplotlib. In fact, the keywords
-which are accepted are those for a :class:`matplotlib.backend_bases.GraphicsContextBase`
-instance, which have been designed for making it easy to create new backends - and not
-for its user interface.
-
-
-Greater control of the path effect artist
------------------------------------------
-
-As already mentioned, some of the path effects operate at a lower level than most users
-will be used to, meaning that setting keywords such as ``facecolor`` and ``edgecolor``
-raise an AttributeError. Luckily there is a generic :class:`PathPatchEffect` path effect
-which creates a :class:`~matplotlib.patches.PathPatch` class with the original path.
-The keywords to this effect are identical to those of :class:`~matplotlib.patches.PathPatch`:
-
-.. plot::
-    :include-source:
-
-    import matplotlib.pyplot as plt
-    import matplotlib.patheffects as path_effects
-
-    fig = plt.figure(figsize=(8, 1))
-    t = fig.text(0.02, 0.5, 'Hatch shadow', fontsize=75, weight=1000, va='center')
-    t.set_path_effects([path_effects.PathPatchEffect(offset=(4, -4), hatch='xxxx',
-                                                      facecolor='gray'),
-                        path_effects.PathPatchEffect(edgecolor='white', linewidth=1.1,
-                                                     facecolor='black')])
-    plt.show()
-
-
-..
-    Headings for future consideration:
-
-    Implementing a custom path effect
-    ---------------------------------
-
-    What is going on under the hood
-    --------------------------------
diff --git a/doc/users/pgf.rst b/doc/users/pgf.rst
deleted file mode 100644
index 84d48294a803..000000000000
--- a/doc/users/pgf.rst
+++ /dev/null
@@ -1,167 +0,0 @@
-.. _pgf-tutorial:
-
-*********************************
-Typesetting With XeLaTeX/LuaLaTeX
-*********************************
-
-Using the ``pgf`` backend, matplotlib can export figures as pgf drawing commands
-that can be processed with pdflatex, xelatex or lualatex. XeLaTeX and LuaLaTeX
-have full unicode support and can use any font that is installed in the operating
-system, making use of advanced typographic features of OpenType, AAT and
-Graphite. Pgf pictures created by ``plt.savefig('figure.pgf')`` can be
-embedded as raw commands in LaTeX documents. Figures can also be directly
-compiled and saved to PDF with ``plt.savefig('figure.pdf')`` by either
-switching to the backend
-
-.. code-block:: python
-
-    matplotlib.use('pgf')
-
-or registering it for handling pdf output
-
-.. code-block:: python
-
-    from matplotlib.backends.backend_pgf import FigureCanvasPgf
-    matplotlib.backend_bases.register_backend('pdf', FigureCanvasPgf)
-
-The second method allows you to keep using regular interactive backends and to
-save xelatex, lualatex or pdflatex compiled PDF files from the graphical user interface.
-
-Matplotlib's pgf support requires a recent LaTeX_ installation that includes
-the TikZ/PGF packages (such as TeXLive_), preferably with XeLaTeX or LuaLaTeX
-installed. If either pdftocairo or ghostscript is present on your system,
-figures can optionally be saved to PNG images as well. The executables
-for all applications must be located on your :envvar:`PATH`.
-
-Rc parameters that control the behavior of the pgf backend:
-
-    =================  =====================================================
-    Parameter          Documentation
-    =================  =====================================================
-    pgf.preamble       Lines to be included in the LaTeX preamble
-    pgf.rcfonts        Setup fonts from rc params using the fontspec package
-    pgf.texsystem      Either "xelatex" (default), "lualatex" or "pdflatex"
-    =================  =====================================================
-
-.. note::
-
-   TeX defines a set of special characters, such as::
-
-     # $ % & ~ _ ^ \ { }
-
-   Generally, these characters must be escaped correctly. For convenience,
-   some characters (_,^,%) are automatically escaped outside of math
-   environments.
-
-.. _pgf-rcfonts:
-
-Font specification
-==================
-
-The fonts used for obtaining the size of text elements or when compiling
-figures to PDF are usually defined in the matplotlib rc parameters. You can
-also use the LaTeX default Computer Modern fonts by clearing the lists for
-``font.serif``, ``font.sans-serif`` or ``font.monospace``. Please note that
-the glyph coverage of these fonts is very limited. If you want to keep the
-Computer Modern font face but require extended unicode support, consider
-installing the `Computer Modern Unicode <http://sourceforge.net/projects/cm-unicode/>`_
-fonts *CMU Serif*, *CMU Sans Serif*, etc.
-
-When saving to ``.pgf``, the font configuration matplotlib used for the
-layout of the figure is included in the header of the text file.
-
-.. literalinclude:: plotting/examples/pgf_fonts.py
-   :end-before: plt.savefig
-
-.. image:: /_static/pgf_fonts.*
-
-
-.. _pgf-preamble:
-
-Custom preamble
-===============
-
-Full customization is possible by adding your own commands to the preamble.
-Use the ``pgf.preamble`` parameter if you want to configure the math fonts,
-using ``unicode-math`` for example, or for loading additional packages. Also,
-if you want to do the font configuration yourself instead of using the fonts
-specified in the rc parameters, make sure to disable ``pgf.rcfonts``.
-
-.. htmlonly::
-
-    .. literalinclude:: plotting/examples/pgf_preamble.py
-        :end-before: plt.savefig
-
-.. latexonly::
-
-    .. literalinclude:: plotting/examples/pgf_preamble.py
-        :end-before: import matplotlib.pyplot as plt
-
-.. image:: /_static/pgf_preamble.*
-
-
-.. _pgf-texsystem:
-
-Choosing the TeX system
-=======================
-
-The TeX system to be used by matplotlib is chosen by the ``pgf.texsystem``
-parameter. Possible values are ``'xelatex'`` (default), ``'lualatex'`` and
-``'pdflatex'``. Please note that when selecting pdflatex the fonts and
-unicode handling must be configured in the preamble.
-
-.. literalinclude:: plotting/examples/pgf_texsystem.py
-   :end-before: plt.savefig
-
-.. image:: /_static/pgf_texsystem.*
-
-
-.. _pgf-troubleshooting:
-
-Troubleshooting
-===============
-
-* Please note that the TeX packages found in some Linux distributions and
-  MiKTeX installations are dramatically outdated. Make sure to update your
-  package catalog and upgrade or install a recent TeX distribution.
-
-* On Windows, the :envvar:`PATH` environment variable may need to be modified
-  to include the directories containing the latex, dvipng and ghostscript
-  executables. See :ref:`environment-variables` and
-  :ref:`setting-windows-environment-variables` for details.
-
-* A limitation on Windows causes the backend to keep file handles that have
-  been opened by your application open. As a result, it may not be possible
-  to delete the corresponding files until the application closes (see
-  `#1324 <https://github.com/matplotlib/matplotlib/issues/1324>`_).
-
-* Sometimes the font rendering in figures that are saved to png images is
-  very bad. This happens when the pdftocairo tool is not available and
-  ghostscript is used for the pdf to png conversion.
-
-* Make sure what you are trying to do is possible in a LaTeX document,
-  that your LaTeX syntax is valid and that you are using raw strings
-  if necessary to avoid unintended escape sequences.
-
-* The ``pgf.preamble`` rc setting provides lots of flexibility, and lots of
-  ways to cause problems. When experiencing problems, try to minimalize or
-  disable the custom preamble.
-
-* Configuring an ``unicode-math`` environment can be a bit tricky. The
-  TeXLive distribution for example provides a set of math fonts which are
-  usually not installed system-wide. XeTeX, unlike LuaLatex, cannot find
-  these fonts by their name, which is why you might have to specify
-  ``\setmathfont{xits-math.otf}`` instead of ``\setmathfont{XITS Math}`` or
-  alternatively make the fonts available to your OS. See this
-  `tex.stackexchange.com question <http://tex.stackexchange.com/questions/43642>`_
-  for more details.
-
-* If the font configuration used by matplotlib differs from the font setting
-  in yout LaTeX document, the alignment of text elements in imported figures
-  may be off. Check the header of your ``.pgf`` file if you are unsure about
-  the fonts matplotlib used for the layout.
-
-* If you still need help, please see :ref:`reporting-problems`
-
-.. _LaTeX: http://www.tug.org
-.. _TeXLive: http://www.tug.org/texlive/
diff --git a/doc/users/plotting/colormaps/Lfunction.py b/doc/users/plotting/colormaps/Lfunction.py
deleted file mode 100644
index dadf4de457de..000000000000
--- a/doc/users/plotting/colormaps/Lfunction.py
+++ /dev/null
@@ -1,172 +0,0 @@
-'''
-Recreate Josef Albers plot illustrating the Weber-Fechner law and illustrate
-with the binary matplotlib colormap, too. Trying to show the difference between
-adding blackness to a color at different rates.
-'''
-
-import numpy as np
-import matplotlib.pyplot as plt
-import colorconv as color
-#from skimage import color
-# we are using a local copy of colorconv from scikit-image to reduce dependencies. 
-# You should probably use the one from scikit-image in most cases. 
-import matplotlib as mpl
-from matplotlib import cm
-
-
-mpl.rcParams.update({'font.size': 20})
-mpl.rcParams['font.sans-serif'] = 'Arev Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Helvetica, Avant Garde, sans-serif'
-mpl.rcParams['mathtext.fontset'] = 'custom'
-mpl.rcParams['mathtext.cal'] = 'cursive'
-mpl.rcParams['mathtext.rm'] = 'sans'
-mpl.rcParams['mathtext.tt'] = 'monospace'
-mpl.rcParams['mathtext.it'] = 'sans:italic'
-mpl.rcParams['mathtext.bf'] = 'sans:bold'
-mpl.rcParams['mathtext.sf'] = 'sans'
-mpl.rcParams['mathtext.fallback_to_cm'] = 'True'
-
-
-### Red, original Albers plot
-
-nrows = 5
-
-# Start with red
-red = np.array([np.hstack([np.ones((nrows,1)), np.zeros((nrows,2))])])
-
-# Get basic red in LAB
-lab_add = color.rgb2lab(red)
-lab_geometric = lab_add.copy()
-
-# Alter successive rows with more black
-k = 1
-for i in xrange(red.shape[1]):
-    # more blackness is closer to 0 than one, and in first column of LAB
-    lab_add[0,i,0] = lab_add[0,i,0] - 10*i
-    print i,k
-    if i != 0:
-        lab_geometric[0,i,0] = lab_geometric[0,i,0] - 10*k
-        k *= 2
-
-# Change LAB back to RGB for plotting
-rgb_add = red.copy() # only change red values
-temp = color.lab2rgb(lab_add)
-rgb_add[0,:,0] = temp[0,:,0]
-rgb_geometric = red.copy() # only change red values
-temp = color.lab2rgb(lab_geometric)
-rgb_geometric[0,:,0] = temp[0,:,0]
-
-fig = plt.figure()
-k = 1
-for i in xrange(red.shape[1]):
-
-    # LHS: additive
-    ax1 = fig.add_subplot(nrows,2,i*2+1, axisbg=tuple(rgb_add[0,i,:]))
-    print tuple(lab_add[0,i,:])#, tuple(rgb_add[0,i,:])
-
-    # RHS: multiplicative
-    ax2 = fig.add_subplot(nrows,2,i*2+2, axisbg=tuple(rgb_geometric[0,i,:]))
-    print tuple(lab_geometric[0,i,:])#, tuple(rgb_geometric[0,i,:])
-
-    # ylabels
-    if i!=0:
-        ax1.set_ylabel(str(1*i))
-        ax2.set_ylabel(str(k))
-        k *= 2
-
-    # Turn off ticks
-    ax1.get_xaxis().set_ticks([])
-    ax2.get_xaxis().set_ticks([])
-    ax1.get_yaxis().set_ticks([])
-    ax2.get_yaxis().set_ticks([])
-
-    # Turn off black edges
-    ax1.spines['right'].set_visible(False)
-    ax1.spines['top'].set_visible(False)
-    ax1.spines['bottom'].set_visible(False)
-    ax1.spines['left'].set_visible(False)
-    ax2.spines['right'].set_visible(False)
-    ax2.spines['top'].set_visible(False)
-    ax2.spines['bottom'].set_visible(False)
-    ax2.spines['left'].set_visible(False)
-
-
-# common ylabel
-ax1.text(-0.3, 3.8, 'Additional Parts Black',
-            rotation=90, transform=ax1.transAxes)
-
-
-fig.subplots_adjust(hspace=0.0)
-plt.show()
-
-
-### Albers plot with linear scale black and white
-
-nrows = 5
-ncols = 2
-
-x = np.linspace(0.0, 1.0, 100)
-cmap = 'binary'
-
-# Get binary colormap entries for full 100 entries
-rgb = cm.get_cmap(cmap)(x)[np.newaxis,:,:3]
-
-# Sample 100-entry rgb additively and geometrically
-rgb_add = np.empty((1,nrows,3))
-rgb_geometric = np.empty((1,nrows,3))
-
-k = 1
-di = 8
-I0 = 5
-for i in xrange(nrows):
-    # Do more blackness via increasing indices
-    rgb_add[:,i,:] = rgb[:,i*di+I0,:]
-
-    if i != 0:
-        print i*di+I0, di*k+I0, (I0**(1./3)+i*di**(1./3))**3
-        rgb_geometric[:,i,:] = rgb[:,I0+di*k,:]
-        k *= 2
-    elif i==0:
-        print i*di+I0, I0, (I0**(1./3)+i*di**(1./3))**3
-        rgb_geometric[:,i,:] = rgb[:,I0,:]
-
-lab_add = color.rgb2lab(rgb_add)
-lab_geometric = color.rgb2lab(rgb_geometric)
-
-fig = plt.figure()
-k = 1
-for i in xrange(nrows):
-
-    # LHS: additive
-    ax1 = fig.add_subplot(nrows,ncols,i*2+1, axisbg=tuple(rgb_add[0,i,:]))
-
-    # middle: multiplicative
-    ax2 = fig.add_subplot(nrows,ncols,i*2+2, axisbg=tuple(rgb_geometric[0,i,:]))
-
-    # ylabels
-    if i!=0:
-        ax1.set_ylabel(str(1*i))
-        ax2.set_ylabel(str(k))
-        k *= 2
-
-    # Turn off ticks
-    ax1.get_xaxis().set_ticks([])
-    ax2.get_xaxis().set_ticks([])
-    ax1.get_yaxis().set_ticks([])
-    ax2.get_yaxis().set_ticks([])
-
-    # Turn off black edges
-    ax1.spines['right'].set_visible(False)
-    ax1.spines['top'].set_visible(False)
-    ax1.spines['bottom'].set_visible(False)
-    ax1.spines['left'].set_visible(False)
-    ax2.spines['right'].set_visible(False)
-    ax2.spines['top'].set_visible(False)
-    ax2.spines['bottom'].set_visible(False)
-    ax2.spines['left'].set_visible(False)
-
-# common ylabel
-ax1.text(-0.3, 4.0, 'Steps through map indices',
-            rotation=90, transform=ax1.transAxes)
-
-fig.subplots_adjust(hspace=0.0)
-plt.show()
diff --git a/doc/users/plotting/colormaps/colorconv.py b/doc/users/plotting/colormaps/colorconv.py
deleted file mode 100644
index ad58973f11f0..000000000000
--- a/doc/users/plotting/colormaps/colorconv.py
+++ /dev/null
@@ -1,684 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-"""Functions for converting between color spaces.
-
-Colorconv is copied from scikit-image to avoid an additional dependency on
-scikit-image in the matplotlib documentation. You should almost sertanly use
-the original module for any other use. This only contains the bare minumum
-functions needed for rgb2lab Utility functions copied from dtype.py
-
-The "central" color space in this module is RGB, more specifically the linear
-sRGB color space using D65 as a white-point [1]_.  This represents a
-standard monitor (w/o gamma correction). For a good FAQ on color spaces see
-[2]_.
-
-The API consists of functions to convert to and from RGB as defined above, as
-well as a generic function to convert to and from any supported color space
-(which is done through RGB in most cases).
-
-
-Supported color spaces
-----------------------
-* RGB : Red Green Blue.
-        Here the sRGB standard [1]_.
-* HSV : Hue, Saturation, Value.
-        Uniquely defined when related to sRGB [3]_.
-* RGB CIE : Red Green Blue.
-        The original RGB CIE standard from 1931 [4]_. Primary colors are 700 nm
-        (red), 546.1 nm (blue) and 435.8 nm (green).
-* XYZ CIE : XYZ
-        Derived from the RGB CIE color space. Chosen such that
-        ``x == y == z == 1/3`` at the whitepoint, and all color matching
-        functions are greater than zero everywhere.
-* LAB CIE : Lightness, a, b
-        Colorspace derived from XYZ CIE that is intended to be more
-        perceptually uniform
-* LUV CIE : Lightness, u, v
-        Colorspace derived from XYZ CIE that is intended to be more
-        perceptually uniform
-* LCH CIE : Lightness, Chroma, Hue
-        Defined in terms of LAB CIE.  C and H are the polar representation of
-        a and b.  The polar angle C is defined to be on ``(0, 2*pi)``
-
-:author: Nicolas Pinto (rgb2hsv)
-:author: Ralf Gommers (hsv2rgb)
-:author: Travis Oliphant (XYZ and RGB CIE functions)
-:author: Matt Terry (lab2lch)
-
-:license: modified BSD
-
-References
-----------
-.. [1] Official specification of sRGB, IEC 61966-2-1:1999.
-.. [2] http://www.poynton.com/ColorFAQ.html
-.. [3] http://en.wikipedia.org/wiki/HSL_and_HSV
-.. [4] http://en.wikipedia.org/wiki/CIE_1931_color_space
-"""
-
-from __future__ import division
-
-import numpy as np
-from numpy import linalg
-
-def _prepare_colorarray(arr):
-    """Check the shape of the array and convert it to
-    floating point representation.
-
-    """
-    arr = np.asanyarray(arr)
-
-    if arr.ndim not in [3, 4] or arr.shape[-1] != 3:
-        msg = ("the input array must be have a shape == (.., ..,[ ..,] 3)), " +
-               "got (" + (", ".join(map(str, arr.shape))) + ")")
-        raise ValueError(msg)
-
-    return img_as_float(arr)
-
-
-# ---------------------------------------------------------------
-# Primaries for the coordinate systems
-# ---------------------------------------------------------------
-cie_primaries = np.array([700, 546.1, 435.8])
-sb_primaries = np.array([1. / 155, 1. / 190, 1. / 225]) * 1e5
-
-# ---------------------------------------------------------------
-# Matrices that define conversion between different color spaces
-# ---------------------------------------------------------------
-
-# From sRGB specification
-xyz_from_rgb = np.array([[0.412453, 0.357580, 0.180423],
-                        [0.212671, 0.715160, 0.072169],
-                        [0.019334, 0.119193, 0.950227]])
-
-rgb_from_xyz = linalg.inv(xyz_from_rgb)
-# XYZ coordinates of the illuminants, scaled to [0, 1]. For each illuminant I
-# we have:
-#
-#   illuminant[I][0] corresponds to the XYZ coordinates for the 2 degree
-#   field of view.
-#
-#   illuminant[I][1] corresponds to the XYZ coordinates for the 10 degree
-#   field of view.
-#
-# The XYZ coordinates are calculated from [1], using the formula:
-#
-#   X = x * ( Y / y )
-#   Y = Y
-#   Z = ( 1 - x - y ) * ( Y / y )
-#
-# where Y = 1. The only exception is the illuminant "D65" with aperture angle
-# 2, whose coordinates are copied from 'lab_ref_white' for
-# backward-compatibility reasons.
-#
-#     References
-#    ----------
-#    .. [1] http://en.wikipedia.org/wiki/Standard_illuminant
-
-illuminants = \
-    {"A": {'2': (1.098466069456375, 1, 0.3558228003436005),
-           '10': (1.111420406956693, 1, 0.3519978321919493)},
-     "D50": {'2': (0.9642119944211994, 1, 0.8251882845188288),
-             '10': (0.9672062750333777, 1, 0.8142801513128616)},
-     "D55": {'2': (0.956797052643698, 1, 0.9214805860173273),
-             '10': (0.9579665682254781, 1, 0.9092525159847462)},
-     "D65": {'2': (0.95047, 1., 1.08883),   # This was: `lab_ref_white`
-             '10': (0.94809667673716, 1, 1.0730513595166162)},
-     "D75": {'2': (0.9497220898840717, 1, 1.226393520724154),
-             '10': (0.9441713925645873, 1, 1.2064272211720228)},
-     "E": {'2': (1.0, 1.0, 1.0),
-           '10': (1.0, 1.0, 1.0)}}
-
-
-def get_xyz_coords(illuminant, observer):
-    """Get the XYZ coordinates of the given illuminant and observer [1]_.
-
-    Parameters
-    ----------
-    illuminant : {"A", "D50", "D55", "D65", "D75", "E"}, optional
-        The name of the illuminant (the function is NOT case sensitive).
-    observer : {"2", "10"}, optional
-        The aperture angle of the observer.
-
-    Returns
-    -------
-    (x, y, z) : tuple
-        A tuple with 3 elements containing the XYZ coordinates of the given
-        illuminant.
-
-    Raises
-    ------
-    ValueError
-        If either the illuminant or the observer angle are not supported or
-        unknown.
-
-    References
-    ----------
-    .. [1] http://en.wikipedia.org/wiki/Standard_illuminant
-
-    """
-    illuminant = illuminant.upper()
-    try:
-        return illuminants[illuminant][observer]
-    except KeyError:
-        raise ValueError("Unknown illuminant/observer combination\
-        (\'{0}\', \'{1}\')".format(illuminant, observer))
-
-
-def _convert(matrix, arr):
-    """Do the color space conversion.
-
-    Parameters
-    ----------
-    matrix : array_like
-        The 3x3 matrix to use.
-    arr : array_like
-        The input array.
-
-    Returns
-    -------
-    out : ndarray, dtype=float
-        The converted array.
-    """
-    arr = _prepare_colorarray(arr)
-    arr = np.swapaxes(arr, 0, -1)
-    oldshape = arr.shape
-    arr = np.reshape(arr, (3, -1))
-    out = np.dot(matrix, arr)
-    out.shape = oldshape
-    out = np.swapaxes(out, -1, 0)
-
-    return np.ascontiguousarray(out)
-
-
-def rgb2xyz(rgb):
-    """RGB to XYZ color space conversion.
-
-    Parameters
-    ----------
-    rgb : array_like
-        The image in RGB format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-
-    Returns
-    -------
-    out : ndarray
-        The image in XYZ format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `rgb` is not a 3- or 4-D array of shape ``(.., ..,[ ..,] 3)``.
-
-    Notes
-    -----
-    The CIE XYZ color space is derived from the CIE RGB color space. Note
-    however that this function converts from sRGB.
-
-    References
-    ----------
-    .. [1] http://en.wikipedia.org/wiki/CIE_1931_color_space
-
-
-    """
-    # Follow the algorithm from http://www.easyrgb.com/index.php
-    # except we don't multiply/divide by 100 in the conversion
-    arr = _prepare_colorarray(rgb).copy()
-    mask = arr > 0.04045
-    arr[mask] = np.power((arr[mask] + 0.055) / 1.055, 2.4)
-    arr[~mask] /= 12.92
-    return _convert(xyz_from_rgb, arr)
-
-
-def xyz2lab(xyz, illuminant="D65", observer="2"):
-    """XYZ to CIE-LAB color space conversion.
-
-    Parameters
-    ----------
-    xyz : array_like
-        The image in XYZ format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-    illuminant : {"A", "D50", "D55", "D65", "D75", "E"}, optional
-        The name of the illuminant (the function is NOT case sensitive).
-    observer : {"2", "10"}, optional
-        The aperture angle of the observer.
-
-    Returns
-    -------
-    out : ndarray
-        The image in CIE-LAB format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `xyz` is not a 3-D array of shape ``(.., ..,[ ..,] 3)``.
-    ValueError
-        If either the illuminant or the observer angle is unsupported or
-        unknown.
-
-    Notes
-    -----
-    By default Observer= 2A, Illuminant= D65. CIE XYZ tristimulus values
-    x_ref=95.047, y_ref=100., z_ref=108.883. See function `get_xyz_coords` for
-    a list of supported illuminants.
-
-    References
-    ----------
-    .. [1] http://www.easyrgb.com/index.php?X=MATH&H=07#text7
-    .. [2] http://en.wikipedia.org/wiki/Lab_color_space
-
-    """
-    arr = _prepare_colorarray(xyz)
-
-    xyz_ref_white = get_xyz_coords(illuminant, observer)
-
-    # scale by CIE XYZ tristimulus values of the reference white point
-    arr = arr / xyz_ref_white
-
-    # Nonlinear distortion and linear transformation
-    mask = arr > 0.008856
-    arr[mask] = np.power(arr[mask], 1. / 3.)
-    arr[~mask] = 7.787 * arr[~mask] + 16. / 116.
-
-    x, y, z = arr[..., 0], arr[..., 1], arr[..., 2]
-
-    # Vector scaling
-    L = (116. * y) - 16.
-    a = 500.0 * (x - y)
-    b = 200.0 * (y - z)
-
-    return np.concatenate([x[..., np.newaxis] for x in [L, a, b]], axis=-1)
-
-
-def xyz2rgb(xyz):
-    """XYZ to RGB color space conversion.
-
-    Parameters
-    ----------
-    xyz : array_like
-        The image in XYZ format, in a 3-D array of shape ``(.., .., 3)``.
-
-    Returns
-    -------
-    out : ndarray
-        The image in RGB format, in a 3-D array of shape ``(.., .., 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `xyz` is not a 3-D array of shape ``(.., .., 3)``.
-
-    Notes
-    -----
-    The CIE XYZ color space is derived from the CIE RGB color space. Note
-    however that this function converts to sRGB.
-
-    References
-    ----------
-    .. [1] http://en.wikipedia.org/wiki/CIE_1931_color_space
-
-
-    """
-    # Follow the algorithm from http://www.easyrgb.com/index.php
-    # except we don't multiply/divide by 100 in the conversion
-    arr = _convert(rgb_from_xyz, xyz)
-    mask = arr > 0.0031308
-    arr[mask] = 1.055 * np.power(arr[mask], 1 / 2.4) - 0.055
-    arr[~mask] *= 12.92
-    return arr
-
-
-def rgb2lab(rgb):
-    """RGB to lab color space conversion.
-
-    Parameters
-    ----------
-    rgb : array_like
-        The image in RGB format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-
-    Returns
-    -------
-    out : ndarray
-        The image in Lab format, in a 3- or 4-D array of shape
-        ``(.., ..,[ ..,] 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `rgb` is not a 3- or 4-D array of shape ``(.., ..,[ ..,] 3)``.
-
-    Notes
-    -----
-    This function uses rgb2xyz and xyz2lab.
-    """
-    return xyz2lab(rgb2xyz(rgb))
-
-
-def lab2rgb(lab):
-    """Lab to RGB color space conversion.
-
-    Parameters
-    ----------
-    lab : array_like
-        The image in Lab format, in a 3-D array of shape ``(.., .., 3)``.
-
-    Returns
-    -------
-    out : ndarray
-        The image in RGB format, in a 3-D array of shape ``(.., .., 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `lab` is not a 3-D array of shape ``(.., .., 3)``.
-
-    Notes
-    -----
-    This function uses lab2xyz and xyz2rgb.
-    """
-    return xyz2rgb(lab2xyz(lab))
-
-
-def lab2xyz(lab, illuminant="D65", observer="2"):
-    """CIE-LAB to XYZcolor space conversion.
-
-    Parameters
-    ----------
-    lab : array_like
-        The image in lab format, in a 3-D array of shape ``(.., .., 3)``.
-    illuminant : {"A", "D50", "D55", "D65", "D75", "E"}, optional
-        The name of the illuminant (the function is NOT case sensitive).
-    observer : {"2", "10"}, optional
-        The aperture angle of the observer.
-
-    Returns
-    -------
-    out : ndarray
-        The image in XYZ format, in a 3-D array of shape ``(.., .., 3)``.
-
-    Raises
-    ------
-    ValueError
-        If `lab` is not a 3-D array of shape ``(.., .., 3)``.
-    ValueError
-        If either the illuminant or the observer angle are not supported or
-        unknown.
-
-
-    Notes
-    -----
-    By default Observer= 2A, Illuminant= D65. CIE XYZ tristimulus values x_ref
-    = 95.047, y_ref = 100., z_ref = 108.883. See function 'get_xyz_coords' for
-    a list of supported illuminants.
-
-    References
-    ----------
-    .. [1] http://www.easyrgb.com/index.php?X=MATH&H=07#text7
-    .. [2] http://en.wikipedia.org/wiki/Lab_color_space
-
-    """
-
-    arr = _prepare_colorarray(lab).copy()
-
-    L, a, b = arr[:, :, 0], arr[:, :, 1], arr[:, :, 2]
-    y = (L + 16.) / 116.
-    x = (a / 500.) + y
-    z = y - (b / 200.)
-
-    out = np.dstack([x, y, z])
-
-    mask = out > 0.2068966
-    out[mask] = np.power(out[mask], 3.)
-    out[~mask] = (out[~mask] - 16.0 / 116.) / 7.787
-
-    # rescale to the reference white (illuminant)
-    xyz_ref_white = get_xyz_coords(illuminant, observer)
-    out *= xyz_ref_white
-    return out
-
-
-def convert(image, dtype, force_copy=False, uniform=False):
-    """
-    Convert an image to the requested data-type.
-
-    Warnings are issued in case of precision loss, or when negative values
-    are clipped during conversion to unsigned integer types (sign loss).
-
-    Floating point values are expected to be normalized and will be clipped
-    to the range [0.0, 1.0] or [-1.0, 1.0] when converting to unsigned or
-    signed integers respectively.
-
-    Numbers are not shifted to the negative side when converting from
-    unsigned to signed integer types. Negative values will be clipped when
-    converting to unsigned integers.
-
-    Parameters
-    ----------
-    image : ndarray
-        Input image.
-    dtype : dtype
-        Target data-type.
-    force_copy : bool
-        Force a copy of the data, irrespective of its current dtype.
-    uniform : bool
-        Uniformly quantize the floating point range to the integer range.
-        By default (uniform=False) floating point values are scaled and
-        rounded to the nearest integers, which minimizes back and forth
-        conversion errors.
-
-    References
-    ----------
-    (1) DirectX data conversion rules.
-        http://msdn.microsoft.com/en-us/library/windows/desktop/dd607323%28v=vs.85%29.aspx
-    (2) Data Conversions.
-        In "OpenGL ES 2.0 Specification v2.0.25", pp 7-8. Khronos Group, 2010.
-    (3) Proper treatment of pixels as integers. A.W. Paeth.
-        In "Graphics Gems I", pp 249-256. Morgan Kaufmann, 1990.
-    (4) Dirty Pixels. J. Blinn.
-        In "Jim Blinn's corner: Dirty Pixels", pp 47-57. Morgan Kaufmann, 1998.
-
-    """
-    image = np.asarray(image)
-    dtypeobj = np.dtype(dtype)
-    dtypeobj_in = image.dtype
-    dtype = dtypeobj.type
-    dtype_in = dtypeobj_in.type
-
-    if dtype_in == dtype:
-        if force_copy:
-            image = image.copy()
-        return image
-
-    if not (dtype_in in _supported_types and dtype in _supported_types):
-        raise ValueError("can not convert %s to %s." % (dtypeobj_in, dtypeobj))
-
-    def sign_loss():
-        warn("Possible sign loss when converting negative image of type "
-             "%s to positive image of type %s." % (dtypeobj_in, dtypeobj))
-
-    def prec_loss():
-        warn("Possible precision loss when converting from "
-             "%s to %s" % (dtypeobj_in, dtypeobj))
-
-    def _dtype(itemsize, *dtypes):
-        # Return first of `dtypes` with itemsize greater than `itemsize`
-        return next(dt for dt in dtypes if itemsize < np.dtype(dt).itemsize)
-
-    def _dtype2(kind, bits, itemsize=1):
-        # Return dtype of `kind` that can store a `bits` wide unsigned int
-        c = lambda x, y: x <= y if kind == 'u' else x < y
-        s = next(i for i in (itemsize, ) + (2, 4, 8) if c(bits, i * 8))
-        return np.dtype(kind + str(s))
-
-    def _scale(a, n, m, copy=True):
-        # Scale unsigned/positive integers from n to m bits
-        # Numbers can be represented exactly only if m is a multiple of n
-        # Output array is of same kind as input.
-        kind = a.dtype.kind
-        if n == m:
-            return a.copy() if copy else a
-        elif n > m:
-            # downscale with precision loss
-            prec_loss()
-            if copy:
-                b = np.empty(a.shape, _dtype2(kind, m))
-                np.floor_divide(a, 2**(n - m), out=b, dtype=a.dtype,
-                                casting='unsafe')
-                return b
-            else:
-                a //= 2**(n - m)
-                return a
-        elif m % n == 0:
-            # exact upscale to a multiple of n bits
-            if copy:
-                b = np.empty(a.shape, _dtype2(kind, m))
-                np.multiply(a, (2**m - 1) // (2**n - 1), out=b, dtype=b.dtype)
-                return b
-            else:
-                a = np.array(a, _dtype2(kind, m, a.dtype.itemsize), copy=False)
-                a *= (2**m - 1) // (2**n - 1)
-                return a
-        else:
-            # upscale to a multiple of n bits,
-            # then downscale with precision loss
-            prec_loss()
-            o = (m // n + 1) * n
-            if copy:
-                b = np.empty(a.shape, _dtype2(kind, o))
-                np.multiply(a, (2**o - 1) // (2**n - 1), out=b, dtype=b.dtype)
-                b //= 2**(o - m)
-                return b
-            else:
-                a = np.array(a, _dtype2(kind, o, a.dtype.itemsize), copy=False)
-                a *= (2**o - 1) // (2**n - 1)
-                a //= 2**(o - m)
-                return a
-
-    kind = dtypeobj.kind
-    kind_in = dtypeobj_in.kind
-    itemsize = dtypeobj.itemsize
-    itemsize_in = dtypeobj_in.itemsize
-
-    if kind == 'b':
-        # to binary image
-        if kind_in in "fi":
-            sign_loss()
-        prec_loss()
-        return image > dtype_in(dtype_range[dtype_in][1] / 2)
-
-    if kind_in == 'b':
-        # from binary image, to float and to integer
-        result = image.astype(dtype)
-        if kind != 'f':
-            result *= dtype(dtype_range[dtype][1])
-        return result
-
-    if kind in 'ui':
-        imin = np.iinfo(dtype).min
-        imax = np.iinfo(dtype).max
-    if kind_in in 'ui':
-        imin_in = np.iinfo(dtype_in).min
-        imax_in = np.iinfo(dtype_in).max
-
-    if kind_in == 'f':
-        if np.min(image) < -1.0 or np.max(image) > 1.0:
-            raise ValueError("Images of type float must be between -1 and 1.")
-        if kind == 'f':
-            # floating point -> floating point
-            if itemsize_in > itemsize:
-                prec_loss()
-            return image.astype(dtype)
-
-        # floating point -> integer
-        prec_loss()
-        # use float type that can represent output integer type
-        image = np.array(image, _dtype(itemsize, dtype_in,
-                                       np.float32, np.float64))
-        if not uniform:
-            if kind == 'u':
-                image *= imax
-            else:
-                image *= imax - imin
-                image -= 1.0
-                image /= 2.0
-            np.rint(image, out=image)
-            np.clip(image, imin, imax, out=image)
-        elif kind == 'u':
-            image *= imax + 1
-            np.clip(image, 0, imax, out=image)
-        else:
-            image *= (imax - imin + 1.0) / 2.0
-            np.floor(image, out=image)
-            np.clip(image, imin, imax, out=image)
-        return image.astype(dtype)
-
-    if kind == 'f':
-        # integer -> floating point
-        if itemsize_in >= itemsize:
-            prec_loss()
-        # use float type that can exactly represent input integers
-        image = np.array(image, _dtype(itemsize_in, dtype,
-                                       np.float32, np.float64))
-        if kind_in == 'u':
-            image /= imax_in
-            # DirectX uses this conversion also for signed ints
-            #if imin_in:
-            #    np.maximum(image, -1.0, out=image)
-        else:
-            image *= 2.0
-            image += 1.0
-            image /= imax_in - imin_in
-        return image.astype(dtype)
-
-    if kind_in == 'u':
-        if kind == 'i':
-            # unsigned integer -> signed integer
-            image = _scale(image, 8 * itemsize_in, 8 * itemsize - 1)
-            return image.view(dtype)
-        else:
-            # unsigned integer -> unsigned integer
-            return _scale(image, 8 * itemsize_in, 8 * itemsize)
-
-    if kind == 'u':
-        # signed integer -> unsigned integer
-        sign_loss()
-        image = _scale(image, 8 * itemsize_in - 1, 8 * itemsize)
-        result = np.empty(image.shape, dtype)
-        np.maximum(image, 0, out=result, dtype=image.dtype, casting='unsafe')
-        return result
-
-    # signed integer -> signed integer
-    if itemsize_in > itemsize:
-        return _scale(image, 8 * itemsize_in - 1, 8 * itemsize - 1)
-    image = image.astype(_dtype2('i', itemsize * 8))
-    image -= imin_in
-    image = _scale(image, 8 * itemsize_in, 8 * itemsize, copy=False)
-    image += imin
-    return image.astype(dtype)
-
-
-def img_as_float(image, force_copy=False):
-    """Convert an image to double-precision floating point format.
-
-    Parameters
-    ----------
-    image : ndarray
-        Input image.
-    force_copy : bool
-        Force a copy of the data, irrespective of its current dtype.
-
-    Returns
-    -------
-    out : ndarray of float64
-        Output image.
-
-    Notes
-    -----
-    The range of a floating point image is [0.0, 1.0] or [-1.0, 1.0] when
-    converting from unsigned or signed datatypes, respectively.
-
-    """
-    return convert(image, np.float64, force_copy)
diff --git a/doc/users/plotting/colormaps/grayscale.py b/doc/users/plotting/colormaps/grayscale.py
deleted file mode 100644
index e31ee91fbeb1..000000000000
--- a/doc/users/plotting/colormaps/grayscale.py
+++ /dev/null
@@ -1,82 +0,0 @@
-'''
-Show what matplotlib colormaps look like in grayscale.
-Uses lightness L* as a proxy for grayscale value.
-'''
-
-import colorconv as color
-#from skimage import color
-# we are using a local copy of colorconv from scikit-image to reduce dependencies. 
-# You should probably use the one from scikit-image in most cases. 
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib import cm
-import matplotlib as mpl
-
-mpl.rcParams.update({'font.size': 14})
-mpl.rcParams['font.sans-serif'] = 'Arev Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Helvetica, Avant Garde, sans-serif'
-mpl.rcParams['mathtext.fontset'] = 'custom'
-mpl.rcParams['mathtext.cal'] = 'cursive'
-mpl.rcParams['mathtext.rm'] = 'sans'
-mpl.rcParams['mathtext.tt'] = 'monospace'
-mpl.rcParams['mathtext.it'] = 'sans:italic'
-mpl.rcParams['mathtext.bf'] = 'sans:bold'
-mpl.rcParams['mathtext.sf'] = 'sans'
-mpl.rcParams['mathtext.fallback_to_cm'] = 'True'
-
-# Have colormaps separated into categories: http://matplotlib.org/examples/color/colormaps_reference.html
-
-cmaps = [('Sequential',     ['binary', 'Blues', 'BuGn', 'BuPu', 'gist_yarg',
-                             'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
-                             'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
-                             'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
-         ('Sequential2', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
-                             'gist_gray', 'gist_heat', 'gray', 'hot', 'pink',
-                             'spring', 'summer', 'winter']),
-         ('Diverging',      ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
-                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'seismic']),
-         ('Qualitative',    ['Accent', 'Dark2', 'hsv', 'Paired', 'Pastel1',
-                             'Pastel2', 'Set1', 'Set2', 'Set3', 'spectral']),
-         ('Miscellaneous',  ['gist_earth', 'gist_ncar', 'gist_rainbow',
-                             'gist_stern', 'jet', 'brg', 'CMRmap', 'cubehelix',
-                             'gnuplot', 'gnuplot2', 'ocean', 'rainbow',
-                             'terrain', 'flag', 'prism'])]
-
-# indices to step through colormap
-x = np.linspace(0.0, 1.0, 100)
-
-nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps)
-gradient = np.linspace(0, 1, 256)
-gradient = np.vstack((gradient, gradient))
-
-def plot_color_gradients(cmap_category, cmap_list):
-    fig, axes = plt.subplots(nrows=nrows, ncols=2)
-    fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99, wspace=0.05)
-    fig.suptitle(cmap_category + ' colormaps', fontsize=14, y=1.0, x=0.6)
-
-    for ax, name in zip(axes, cmap_list):
-
-        # Get rgb values for colormap
-        rgb = cm.get_cmap(plt.get_cmap(name))(x)[np.newaxis,:,:3]
-
-        # Get colormap in CIE LAB. We want the L here.
-        lab = color.rgb2lab(rgb)
-        L = lab[0,:,0]
-        L = np.float32(np.vstack((L, L, L)))
-
-        ax[0].imshow(gradient, aspect='auto', cmap=plt.get_cmap(name))
-        ax[1].imshow(L, aspect='auto', cmap='binary_r', vmin=0., vmax=100.)
-        pos = list(ax[0].get_position().bounds)
-        x_text = pos[0] - 0.01
-        y_text = pos[1] + pos[3]/2.
-        fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10)
-
-    # Turn off *all* ticks & spines, not just the ones with colormaps.
-    for ax in axes:
-        ax[0].set_axis_off()
-        ax[1].set_axis_off()
-    plt.show()
-
-
-for cmap_category, cmap_list in cmaps:
-
-    plot_color_gradients(cmap_category, cmap_list)
diff --git a/doc/users/plotting/colormaps/lightness.py b/doc/users/plotting/colormaps/lightness.py
deleted file mode 100644
index fb97500d0cbc..000000000000
--- a/doc/users/plotting/colormaps/lightness.py
+++ /dev/null
@@ -1,132 +0,0 @@
-'''
-For each colormap, plot the lightness parameter L* from CIELAB colorspace along the y axis vs index through the colormap. Colormaps are examined in categories as in the original matplotlib gallery of colormaps.
-'''
-
-import colorconv as color
-#from skimage import color
-# we are using a local copy of colorconv from scikit-image to reduce dependencies. 
-# You should probably use the one from scikit-image in most cases. 
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib import cm
-import matplotlib as mpl
-
-mpl.rcParams.update({'font.size': 14})
-mpl.rcParams['font.sans-serif'] = 'Arev Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Helvetica, Avant Garde, sans-serif'
-mpl.rcParams['mathtext.fontset'] = 'custom'
-mpl.rcParams['mathtext.cal'] = 'cursive'
-mpl.rcParams['mathtext.rm'] = 'sans'
-mpl.rcParams['mathtext.tt'] = 'monospace'
-mpl.rcParams['mathtext.it'] = 'sans:italic'
-mpl.rcParams['mathtext.bf'] = 'sans:bold'
-mpl.rcParams['mathtext.sf'] = 'sans'
-mpl.rcParams['mathtext.fallback_to_cm'] = 'True'
-
-# Have colormaps separated into categories: http://matplotlib.org/examples/color/colormaps_reference.html
-
-cmaps = [('Sequential',     ['binary', 'Blues', 'BuGn', 'BuPu', 'gist_yarg',
-                             'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
-                             'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
-                             'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
-         ('Sequential2', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
-                             'gist_gray', 'gist_heat', 'gray', 'hot', 'pink',
-                             'spring', 'summer', 'winter']),
-         ('Diverging',      ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
-                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'seismic']),
-         ('Qualitative',    ['Accent', 'Dark2', 'hsv', 'Paired', 'Pastel1',
-                             'Pastel2', 'Set1', 'Set2', 'Set3', 'spectral']),
-         ('Miscellaneous',  ['gist_earth', 'gist_ncar', 'gist_rainbow',
-                             'gist_stern', 'jet', 'brg', 'CMRmap', 'cubehelix',
-                             'gnuplot', 'gnuplot2', 'ocean', 'rainbow',
-                             'terrain', 'flag', 'prism'])]
-
-# indices to step through colormap
-x = np.linspace(0.0, 1.0, 100)
-
-# Do plot
-for cmap_category, cmap_list in cmaps:
-
-    # Do subplots so that colormaps have enough space. 5 per subplot?
-    dsub = 5 # number of colormaps per subplot
-    if cmap_category == 'Diverging': # because has 13 colormaps
-        dsub = 6
-    elif cmap_category == 'Sequential2':
-        dsub = 7
-    elif cmap_category == 'Sequential':
-        dsub = 7
-    nsubplots = int(np.ceil(len(cmap_list)/float(dsub)))
-
-    fig = plt.figure(figsize=(11.5,4*nsubplots))
-
-    for i, subplot in enumerate(xrange(nsubplots)):
-
-        locs = [] # locations for text labels
-
-        ax = fig.add_subplot(nsubplots, 1, i+1)
-        # pdb.set_trace()
-
-        for j, cmap in enumerate(cmap_list[i*dsub:(i+1)*dsub]):
-
-            # Get rgb values for colormap
-            rgb = cm.get_cmap(cmap)(x)[np.newaxis,:,:3]
-
-            # Get colormap in CIE LAB. We want the L here.
-            lab = color.rgb2lab(rgb)
-
-            # Plot colormap L values
-            # Do separately for each category so each plot can be pretty
-            # to make scatter markers change color along plot: http://stackoverflow.com/questions/8202605/matplotlib-scatterplot-colour-as-a-function-of-a-third-variable
-            if cmap_category=='Sequential':
-                dc = 0.6 # spacing between colormaps
-                ax.scatter(x+j*dc, lab[0,::-1,0], c=x, cmap=cmap + '_r', s=300, linewidths=0.)
-                if i==2:
-                    ax.axis([-0.1,4.1,0,100])
-                else:
-                    ax.axis([-0.1,4.7,0,100])
-                locs.append(x[-1]+j*dc) # store locations for colormap labels
-
-            elif cmap_category=='Sequential2':
-                dc = 1.15
-                ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                if i==0:
-                    ax.axis([-0.1,8.1,0,100])
-                else:
-                    ax.axis([-0.1,7.0,0,100])
-                locs.append(x[-1]+j*dc) # store locations for colormap labels
-
-            elif cmap_category=='Diverging':
-                dc = 1.2
-                ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                if i==0:
-                    ax.axis([-0.1,7.1,0,100])
-                else:
-                    ax.axis([-0.1,6,0,100])
-                locs.append(x[int(x.size/2.)]+j*dc) # store locations for colormap labels
-
-            elif cmap_category=='Qualitative':
-                dc = 1.3
-                ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                ax.axis([-0.1,6.3,0,100])
-                locs.append(x[int(x.size/2.)]+j*dc) # store locations for colormap labels
-
-            elif cmap_category=='Miscellaneous':
-                dc = 1.25
-                ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                ax.axis([-0.1,6.1,0,100])
-                locs.append(x[int(x.size/2.)]+j*dc) # store locations for colormap labels
-
-            # Set up labels for colormaps
-            ax.xaxis.set_ticks_position('top')
-            ticker = mpl.ticker.FixedLocator(locs)
-            ax.xaxis.set_major_locator(ticker)
-            formatter = mpl.ticker.FixedFormatter(cmap_list[i*dsub:(i+1)*dsub])
-            ax.xaxis.set_major_formatter(formatter)
-            labels = ax.get_xticklabels()
-            for label in labels:
-                label.set_rotation(60)
-
-    ax.set_xlabel(cmap_category + ' colormaps', fontsize=22)
-    fig.text(-0.005, 0.55, 'Lightness $L^*$', fontsize=18, transform=fig.transFigure, rotation=90)
-
-    fig.tight_layout(h_pad=0.05)
-    plt.show()
diff --git a/doc/users/plotting/examples/anchored_box01.py b/doc/users/plotting/examples/anchored_box01.py
deleted file mode 100644
index 517a2f88d151..000000000000
--- a/doc/users/plotting/examples/anchored_box01.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
-
-fig=plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-at = AnchoredText("Figure 1a",
-                  prop=dict(size=15), frameon=True,
-                  loc=2, 
-                  )
-at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
-ax.add_artist(at)
-
-plt.show()
diff --git a/doc/users/plotting/examples/anchored_box02.py b/doc/users/plotting/examples/anchored_box02.py
deleted file mode 100644
index 6f8db6dd8de8..000000000000
--- a/doc/users/plotting/examples/anchored_box02.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from matplotlib.patches import Circle
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredDrawingArea
-
-fig=plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-
-ada = AnchoredDrawingArea(40, 20, 0, 0,
-                          loc=1, pad=0., frameon=False)
-p1 = Circle((10, 10), 10)
-ada.drawing_area.add_artist(p1)
-p2 = Circle((30, 10), 5, fc="r")
-ada.drawing_area.add_artist(p2)
-
-ax.add_artist(ada)
-
-plt.show()
diff --git a/doc/users/plotting/examples/anchored_box03.py b/doc/users/plotting/examples/anchored_box03.py
deleted file mode 100644
index 0848e1b9d270..000000000000
--- a/doc/users/plotting/examples/anchored_box03.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from matplotlib.patches import Ellipse
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredAuxTransformBox
-
-fig=plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-box = AnchoredAuxTransformBox(ax.transData, loc=2)
-el = Ellipse((0,0), width=0.1, height=0.4, angle=30) # in data coordinates!
-box.drawing_area.add_artist(el)
-
-ax.add_artist(box)
-
-plt.show()
diff --git a/doc/users/plotting/examples/anchored_box04.py b/doc/users/plotting/examples/anchored_box04.py
deleted file mode 100644
index 570c73162141..000000000000
--- a/doc/users/plotting/examples/anchored_box04.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from matplotlib.patches import Ellipse
-import matplotlib.pyplot as plt
-from matplotlib.offsetbox import AnchoredOffsetbox, TextArea, DrawingArea, HPacker
-
-fig=plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-box1 = TextArea(" Test : ", textprops=dict(color="k"))
-
-box2 = DrawingArea(60, 20, 0, 0)
-el1 = Ellipse((10, 10), width=16, height=5, angle=30, fc="r")
-el2 = Ellipse((30, 10), width=16, height=5, angle=170, fc="g") 
-el3 = Ellipse((50, 10), width=16, height=5, angle=230, fc="b") 
-box2.add_artist(el1)
-box2.add_artist(el2)
-box2.add_artist(el3)
-
-
-box = HPacker(children=[box1, box2],
-              align="center",
-              pad=0, sep=5)
-
-anchored_box = AnchoredOffsetbox(loc=3,
-                                 child=box, pad=0.,
-                                 frameon=True,
-                                 bbox_to_anchor=(0., 1.02),
-                                 bbox_transform=ax.transAxes,
-                                 borderpad=0.,
-                                 )
-
-
-ax.add_artist(anchored_box)
-
-fig.subplots_adjust(top=0.8)
-plt.show()
diff --git a/doc/users/plotting/examples/annotate_explain.py b/doc/users/plotting/examples/annotate_explain.py
deleted file mode 100644
index 6dadbd5e541b..000000000000
--- a/doc/users/plotting/examples/annotate_explain.py
+++ /dev/null
@@ -1,103 +0,0 @@
-
-import matplotlib.pyplot as plt
-import matplotlib.patches as mpatches
-
-x1, y1 = 0.3, 0.3
-x2, y2 = 0.7, 0.7
-
-fig = plt.figure(1, figsize=(8,3))
-fig.clf()
-from mpl_toolkits.axes_grid.axes_grid import AxesGrid
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
-
-#from matplotlib.font_manager import FontProperties
-
-def add_at(ax, t, loc=2):
-    fp = dict(size=10)
-    _at = AnchoredText(t, loc=loc, prop=fp)
-    ax.add_artist(_at)
-    return _at
-
-
-grid = AxesGrid(fig, 111, (1, 4), label_mode="1", share_all=True)
-
-grid[0].set_autoscale_on(False)
-
-ax = grid[0]
-ax.plot([x1, x2], [y1, y2], ".")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.2)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="-", #linestyle="dashed",
-                            color="0.5",
-                            patchB=None,
-                            shrinkB=0,
-                            connectionstyle="arc3,rad=0.3",
-                            ),
-            )
-
-add_at(ax, "connect", loc=2)
-
-ax = grid[1]
-ax.plot([x1, x2], [y1, y2], ".")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.2)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="-", #linestyle="dashed",
-                            color="0.5",
-                            patchB=el,
-                            shrinkB=0,
-                            connectionstyle="arc3,rad=0.3",
-                            ),
-            )
-
-add_at(ax, "clip", loc=2)
-
-
-ax = grid[2]
-ax.plot([x1, x2], [y1, y2], ".")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.2)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="-", #linestyle="dashed",
-                            color="0.5",
-                            patchB=el,
-                            shrinkB=5,
-                            connectionstyle="arc3,rad=0.3",
-                            ),
-            )
-
-add_at(ax, "shrink", loc=2)
-
-
-ax = grid[3]
-ax.plot([x1, x2], [y1, y2], ".")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.2)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="fancy", #linestyle="dashed",
-                            color="0.5",
-                            patchB=el,
-                            shrinkB=5,
-                            connectionstyle="arc3,rad=0.3",
-                            ),
-            )
-
-add_at(ax, "mutate", loc=2)
-
-grid[0].set_xlim(0, 1)
-grid[0].set_ylim(0, 1)
-grid[0].axis["bottom"].toggle(ticklabels=False)
-grid[0].axis["left"].toggle(ticklabels=False)
-fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)
-
-plt.draw()
-plt.show()
diff --git a/doc/users/plotting/examples/annotate_simple01.py b/doc/users/plotting/examples/annotate_simple01.py
deleted file mode 100644
index 1a376b66f5b0..000000000000
--- a/doc/users/plotting/examples/annotate_simple01.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-ax.annotate("",
-            xy=(0.2, 0.2), xycoords='data',
-            xytext=(0.8, 0.8), textcoords='data',
-            arrowprops=dict(arrowstyle="->",
-                            connectionstyle="arc3"), 
-            )
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple02.py b/doc/users/plotting/examples/annotate_simple02.py
deleted file mode 100644
index 25bb0002de5f..000000000000
--- a/doc/users/plotting/examples/annotate_simple02.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-ax.annotate("Test",
-            xy=(0.2, 0.2), xycoords='data',
-            xytext=(0.8, 0.8), textcoords='data',
-            size=20, va="center", ha="center",
-            arrowprops=dict(arrowstyle="simple",
-                            connectionstyle="arc3,rad=-0.2"), 
-            )
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple03.py b/doc/users/plotting/examples/annotate_simple03.py
deleted file mode 100644
index 61a885afd2a5..000000000000
--- a/doc/users/plotting/examples/annotate_simple03.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-ann = ax.annotate("Test",
-                  xy=(0.2, 0.2), xycoords='data',
-                  xytext=(0.8, 0.8), textcoords='data',
-                  size=20, va="center", ha="center",
-                  bbox=dict(boxstyle="round4", fc="w"),
-                  arrowprops=dict(arrowstyle="-|>",
-                                  connectionstyle="arc3,rad=-0.2",
-                                  fc="w"), 
-                  )
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple04.py b/doc/users/plotting/examples/annotate_simple04.py
deleted file mode 100644
index cdbb1d804175..000000000000
--- a/doc/users/plotting/examples/annotate_simple04.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-
-ann = ax.annotate("Test",
-                  xy=(0.2, 0.2), xycoords='data',
-                  xytext=(0.8, 0.8), textcoords='data',
-                  size=20, va="center", ha="center",
-                  bbox=dict(boxstyle="round4", fc="w"),
-                  arrowprops=dict(arrowstyle="-|>",
-                                  connectionstyle="arc3,rad=0.2",
-                                  relpos=(0., 0.),
-                                  fc="w"), 
-                  )
-
-ann = ax.annotate("Test",
-                  xy=(0.2, 0.2), xycoords='data',
-                  xytext=(0.8, 0.8), textcoords='data',
-                  size=20, va="center", ha="center",
-                  bbox=dict(boxstyle="round4", fc="w"),
-                  arrowprops=dict(arrowstyle="-|>",
-                                  connectionstyle="arc3,rad=-0.2",
-                                  relpos=(1., 0.),
-                                  fc="w"), 
-                  )
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple_coord01.py b/doc/users/plotting/examples/annotate_simple_coord01.py
deleted file mode 100644
index 7b53d0c22973..000000000000
--- a/doc/users/plotting/examples/annotate_simple_coord01.py
+++ /dev/null
@@ -1,15 +0,0 @@
-
-import matplotlib.pyplot as plt
-
-plt.figure(figsize=(3,2))
-ax=plt.subplot(111)
-an1 = ax.annotate("Test 1", xy=(0.5, 0.5), xycoords="data",
-                  va="center", ha="center",
-                  bbox=dict(boxstyle="round", fc="w"))
-an2 = ax.annotate("Test 2", xy=(1, 0.5), xycoords=an1,
-                  xytext=(30,0), textcoords="offset points",
-                  va="center", ha="left",
-                  bbox=dict(boxstyle="round", fc="w"),
-                  arrowprops=dict(arrowstyle="->"))
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple_coord02.py b/doc/users/plotting/examples/annotate_simple_coord02.py
deleted file mode 100644
index d2ce74dc6cf9..000000000000
--- a/doc/users/plotting/examples/annotate_simple_coord02.py
+++ /dev/null
@@ -1,16 +0,0 @@
-
-import matplotlib.pyplot as plt
-
-plt.figure(figsize=(3,2))
-ax=plt.axes([0.1, 0.1, 0.8, 0.7])
-an1 = ax.annotate("Test 1", xy=(0.5, 0.5), xycoords="data",
-                  va="center", ha="center",
-                  bbox=dict(boxstyle="round", fc="w"))
-
-an2 = ax.annotate("Test 2", xy=(0.5, 1.), xycoords=an1,
-                  xytext=(0.5,1.1), textcoords=(an1, "axes fraction"),
-                  va="bottom", ha="center",
-                  bbox=dict(boxstyle="round", fc="w"),
-                  arrowprops=dict(arrowstyle="->"))
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_simple_coord03.py b/doc/users/plotting/examples/annotate_simple_coord03.py
deleted file mode 100644
index b448f7513caf..000000000000
--- a/doc/users/plotting/examples/annotate_simple_coord03.py
+++ /dev/null
@@ -1,19 +0,0 @@
-
-import matplotlib.pyplot as plt
-
-plt.figure(figsize=(3,2))
-ax=plt.axes([0.1, 0.1, 0.8, 0.7])
-an1 = ax.annotate("Test 1", xy=(0.5, 0.5), xycoords="data",
-                  va="center", ha="center",
-                  bbox=dict(boxstyle="round", fc="w"))
-
-from matplotlib.text import OffsetFrom
-offset_from = OffsetFrom(an1, (0.5, 0))
-an2 = ax.annotate("Test 2", xy=(0.1, 0.1), xycoords="data",
-                  xytext=(0, -10), textcoords=offset_from,
-                  # xytext is offset points from "xy=(0.5, 0), xycoords=an1"
-                  va="top", ha="center",
-                  bbox=dict(boxstyle="round", fc="w"),
-                  arrowprops=dict(arrowstyle="->"))
-plt.show()
-
diff --git a/doc/users/plotting/examples/annotate_text_arrow.py b/doc/users/plotting/examples/annotate_text_arrow.py
deleted file mode 100644
index 4ed10f99670e..000000000000
--- a/doc/users/plotting/examples/annotate_text_arrow.py
+++ /dev/null
@@ -1,38 +0,0 @@
-
-import numpy.random
-import matplotlib.pyplot as plt
-
-fig = plt.figure(1, figsize=(5,5))
-fig.clf()
-
-ax = fig.add_subplot(111)
-ax.set_aspect(1)
-
-x1 = -1 + numpy.random.randn(100)
-y1 = -1 + numpy.random.randn(100)
-x2 = 1. + numpy.random.randn(100)
-y2 = 1. + numpy.random.randn(100)
-
-ax.scatter(x1, y1, color="r")
-ax.scatter(x2, y2, color="g")
-
-bbox_props = dict(boxstyle="round", fc="w", ec="0.5", alpha=0.9)
-ax.text(-2, -2, "Sample A", ha="center", va="center", size=20,
-        bbox=bbox_props)
-ax.text(2, 2, "Sample B", ha="center", va="center", size=20,
-        bbox=bbox_props)
-
-
-bbox_props = dict(boxstyle="rarrow", fc=(0.8,0.9,0.9), ec="b", lw=2)
-t = ax.text(0, 0, "Direction", ha="center", va="center", rotation=45,
-            size=15,
-            bbox=bbox_props)
-
-bb = t.get_bbox_patch()
-bb.set_boxstyle("rarrow", pad=0.6)
-
-ax.set_xlim(-4, 4)
-ax.set_ylim(-4, 4)
-
-plt.draw()
-plt.show()
diff --git a/doc/users/plotting/examples/axes_zoom_effect.py b/doc/users/plotting/examples/axes_zoom_effect.py
deleted file mode 100644
index d63cde6af35f..000000000000
--- a/doc/users/plotting/examples/axes_zoom_effect.py
+++ /dev/null
@@ -1 +0,0 @@
-../../../../examples/pylab_examples/axes_zoom_effect.py
\ No newline at end of file
diff --git a/doc/users/plotting/examples/connect_simple01.py b/doc/users/plotting/examples/connect_simple01.py
deleted file mode 100644
index 7e251ca6bc28..000000000000
--- a/doc/users/plotting/examples/connect_simple01.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from matplotlib.patches import ConnectionPatch
-import matplotlib.pyplot as plt
-
-fig = plt.figure(1, figsize=(6,3))
-ax1 = plt.subplot(121)
-xyA=(0.2, 0.2)
-xyB=(0.8, 0.8)
-coordsA="data"
-coordsB="data"
-con = ConnectionPatch(xyA, xyB, coordsA, coordsB,
-                      arrowstyle="-|>", shrinkA=5, shrinkB=5,
-                      mutation_scale=20, fc="w")
-ax1.plot([xyA[0], xyB[0]], [xyA[1], xyB[1]], "o")
-ax1.add_artist(con)
-
-ax2 = plt.subplot(122)
-#xyA=(0.7, 0.7)
-xy=(0.3, 0.2)
-coordsA="data"
-coordsB="data"
-con = ConnectionPatch(xyA=xy, xyB=xy, coordsA=coordsA, coordsB=coordsB,
-                      axesA=ax2, axesB=ax1,
-                      arrowstyle="->", shrinkB=5)
-ax2.add_artist(con)
-
-ax1.set_xlim(0, 1)
-ax1.set_ylim(0, 1)
-ax2.set_xlim(0, .5)
-ax2.set_ylim(0, .5)
-plt.draw()
-plt.show()
diff --git a/doc/users/plotting/examples/connectionstyle_demo.py b/doc/users/plotting/examples/connectionstyle_demo.py
deleted file mode 100644
index baa68fab5ad0..000000000000
--- a/doc/users/plotting/examples/connectionstyle_demo.py
+++ /dev/null
@@ -1,109 +0,0 @@
-
-import matplotlib.pyplot as plt
-import matplotlib.patches as mpatches
-
-fig = plt.figure(1, figsize=(8,5))
-fig.clf()
-from mpl_toolkits.axes_grid.axes_grid import AxesGrid
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
-
-#from matplotlib.font_manager import FontProperties
-
-def add_at(ax, t, loc=2):
-    fp = dict(size=8)
-    _at = AnchoredText(t, loc=loc, prop=fp)
-    ax.add_artist(_at)
-    return _at
-
-
-grid = AxesGrid(fig, 111, (3, 5), label_mode="1", share_all=True)
-
-grid[0].set_autoscale_on(False)
-
-
-x1, y1 = 0.3, 0.3
-x2, y2 = 0.7, 0.7
-
-
-def demo_con_style(ax, connectionstyle, label=None):
-
-    if label is None:
-        label = connectionstyle
-
-    x1, y1 = 0.3, 0.2
-    x2, y2 = 0.8, 0.6
-
-    ax.plot([x1, x2], [y1, y2], ".")
-    ax.annotate("",
-                xy=(x1, y1), xycoords='data',
-                xytext=(x2, y2), textcoords='data',
-                arrowprops=dict(arrowstyle="->", #linestyle="dashed",
-                                color="0.5",
-                                shrinkA=5, shrinkB=5,
-                                patchA=None,
-                                patchB=None,
-                                connectionstyle=connectionstyle,
-                                ),
-                )
-
-    add_at(ax, label, loc=2)
-
-column = grid.axes_column[0]
-
-demo_con_style(column[0], "angle3,angleA=90,angleB=0",
-               label="angle3,\nangleA=90,\nangleB=0")
-demo_con_style(column[1], "angle3,angleA=0,angleB=90",
-               label="angle3,\nangleA=0,\nangleB=90")
-
-
-
-column = grid.axes_column[1]
-
-demo_con_style(column[0], "arc3,rad=0.")
-demo_con_style(column[1], "arc3,rad=0.3")
-demo_con_style(column[2], "arc3,rad=-0.3")
-
-
-
-column = grid.axes_column[2]
-
-demo_con_style(column[0], "angle,angleA=-90,angleB=180,rad=0",
-               label="angle,\nangleA=-90,\nangleB=180,\nrad=0")
-demo_con_style(column[1], "angle,angleA=-90,angleB=180,rad=5",
-               label="angle,\nangleA=-90,\nangleB=180,\nrad=5")
-demo_con_style(column[2], "angle,angleA=-90,angleB=10,rad=5",
-               label="angle,\nangleA=-90,\nangleB=10,\nrad=0")
-
-
-column = grid.axes_column[3]
-
-demo_con_style(column[0], "arc,angleA=-90,angleB=0,armA=30,armB=30,rad=0",
-               label="arc,\nangleA=-90,\nangleB=0,\narmA=30,\narmB=30,\nrad=0")
-demo_con_style(column[1], "arc,angleA=-90,angleB=0,armA=30,armB=30,rad=5",
-               label="arc,\nangleA=-90,\nangleB=0,\narmA=30,\narmB=30,\nrad=5")
-demo_con_style(column[2], "arc,angleA=-90,angleB=0,armA=0,armB=40,rad=0",
-               label="arc,\nangleA=-90,\nangleB=0,\narmA=0,\narmB=40,\nrad=0")
-
-
-column = grid.axes_column[4]
-
-demo_con_style(column[0], "bar,fraction=0.3",
-               label="bar,\nfraction=0.3")
-demo_con_style(column[1], "bar,fraction=-0.3",
-               label="bar,\nfraction=-0.3")
-demo_con_style(column[2], "bar,angle=180,fraction=-0.2",
-               label="bar,\nangle=180,\nfraction=-0.2")
-
-
-#demo_con_style(column[1], "arc3,rad=0.3")
-#demo_con_style(column[2], "arc3,rad=-0.3")
-
-
-grid[0].set_xlim(0, 1)
-grid[0].set_ylim(0, 1)
-grid.axes_llc.axis["bottom"].toggle(ticklabels=False)
-grid.axes_llc.axis["left"].toggle(ticklabels=False)
-fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)
-
-plt.draw()
-plt.show()
diff --git a/doc/users/plotting/examples/custom_boxstyle01.py b/doc/users/plotting/examples/custom_boxstyle01.py
deleted file mode 100644
index f53f135d38e4..000000000000
--- a/doc/users/plotting/examples/custom_boxstyle01.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from matplotlib.path import Path
-
-def custom_box_style(x0, y0, width, height, mutation_size, mutation_aspect=1):
-    """
-    Given the location and size of the box, return the path of
-    the box around it.
-    
-     - *x0*, *y0*, *width*, *height* : location and size of the box
-     - *mutation_size* : a reference scale for the mutation.
-     - *aspect_ratio* : aspect-ration for the mutation.
-    """
-
-    # note that we are ignoring mutation_aspect. This is okay in general.
-
-    # padding
-    mypad = 0.3
-    pad = mutation_size * mypad
-
-    # width and height with padding added.
-    width, height = width + 2.*pad, \
-                    height + 2.*pad,
-
-    # boundary of the padded box
-    x0, y0 = x0-pad, y0-pad,
-    x1, y1 = x0+width, y0 + height
-
-    cp = [(x0, y0),
-          (x1, y0), (x1, y1), (x0, y1),
-          (x0-pad, (y0+y1)/2.), (x0, y0),
-          (x0, y0)]
-
-    com = [Path.MOVETO,
-           Path.LINETO, Path.LINETO, Path.LINETO,
-           Path.LINETO, Path.LINETO,
-           Path.CLOSEPOLY]
-
-    path = Path(cp, com)
-
-    return path
-
-
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-ax.text(0.5, 0.5, "Test", size=30, va="center", ha="center",
-        bbox=dict(boxstyle=custom_box_style, alpha=0.2))
diff --git a/doc/users/plotting/examples/custom_boxstyle02.py b/doc/users/plotting/examples/custom_boxstyle02.py
deleted file mode 100644
index 96933cb06897..000000000000
--- a/doc/users/plotting/examples/custom_boxstyle02.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from matplotlib.path import Path
-from matplotlib.patches import BoxStyle
-import matplotlib.pyplot as plt
-
-# we may derive from matplotlib.patches.BoxStyle._Base class.
-# You need to overide transmute method in this case.
-
-class MyStyle(BoxStyle._Base):
-    """
-    A simple box.
-    """
-
-    def __init__(self, pad=0.3):
-        """
-        The arguments need to be floating numbers and need to have
-        default values.
-        
-         *pad*
-            amount of padding
-        """
-
-        self.pad = pad
-        super(MyStyle, self).__init__()
-
-    def transmute(self, x0, y0, width, height, mutation_size):
-        """
-        Given the location and size of the box, return the path of
-        the box around it.
-
-         - *x0*, *y0*, *width*, *height* : location and size of the box
-         - *mutation_size* : a reference scale for the mutation.
-
-        Often, the *mutation_size* is the font size of the text.
-        You don't need to worry about the rotation as it is
-        automatically taken care of.
-        """
-
-        # padding
-        pad = mutation_size * self.pad
-
-        # width and height with padding added.
-        width, height = width + 2.*pad, \
-                        height + 2.*pad,
-
-        # boundary of the padded box
-        x0, y0 = x0-pad, y0-pad,
-        x1, y1 = x0+width, y0 + height
-
-        cp = [(x0, y0),
-              (x1, y0), (x1, y1), (x0, y1),
-              (x0-pad, (y0+y1)/2.), (x0, y0),
-              (x0, y0)]
-
-        com = [Path.MOVETO,
-               Path.LINETO, Path.LINETO, Path.LINETO,
-               Path.LINETO, Path.LINETO,
-               Path.CLOSEPOLY]
-
-        path = Path(cp, com)
-
-        return path
-
-
-# register the custom style
-BoxStyle._style_list["angled"] = MyStyle
-
-plt.figure(1, figsize=(3,3))
-ax = plt.subplot(111)
-ax.text(0.5, 0.5, "Test", size=30, va="center", ha="center", rotation=30,
-        bbox=dict(boxstyle="angled,pad=0.5", alpha=0.2))
-
-del BoxStyle._style_list["angled"]
-
-plt.show()
diff --git a/doc/users/plotting/examples/demo_gridspec01.py b/doc/users/plotting/examples/demo_gridspec01.py
deleted file mode 100644
index 55c76a7f0f4d..000000000000
--- a/doc/users/plotting/examples/demo_gridspec01.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import matplotlib.pyplot as plt
-
-def make_ticklabels_invisible(fig):
-    for i, ax in enumerate(fig.axes):
-        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
-        for tl in ax.get_xticklabels() + ax.get_yticklabels():
-            tl.set_visible(False)
-
-
-plt.figure(0)
-ax1 = plt.subplot2grid((3,3), (0,0), colspan=3)
-ax2 = plt.subplot2grid((3,3), (1,0), colspan=2)
-ax3 = plt.subplot2grid((3,3), (1, 2), rowspan=2)
-ax4 = plt.subplot2grid((3,3), (2, 0))
-ax5 = plt.subplot2grid((3,3), (2, 1))
-
-plt.suptitle("subplot2grid")
-make_ticklabels_invisible(plt.gcf())
-plt.show()
-
diff --git a/doc/users/plotting/examples/demo_gridspec02.py b/doc/users/plotting/examples/demo_gridspec02.py
deleted file mode 100644
index 43a7f0899403..000000000000
--- a/doc/users/plotting/examples/demo_gridspec02.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.gridspec import GridSpec
-
-
-def make_ticklabels_invisible(fig):
-    for i, ax in enumerate(fig.axes):
-        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
-        for tl in ax.get_xticklabels() + ax.get_yticklabels():
-            tl.set_visible(False)
-
-
-plt.figure()
-
-gs = GridSpec(3, 3)
-ax1 = plt.subplot(gs[0, :])
-# identical to ax1 = plt.subplot(gs.new_subplotspec((0,0), colspan=3))
-ax2 = plt.subplot(gs[1,:-1])
-ax3 = plt.subplot(gs[1:, -1])
-ax4 = plt.subplot(gs[-1,0])
-ax5 = plt.subplot(gs[-1,-2])
-
-plt.suptitle("GridSpec")
-make_ticklabels_invisible(plt.gcf())
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/demo_gridspec03.py b/doc/users/plotting/examples/demo_gridspec03.py
deleted file mode 100644
index da7c801566c1..000000000000
--- a/doc/users/plotting/examples/demo_gridspec03.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.gridspec import GridSpec
-
-
-def make_ticklabels_invisible(fig):
-    for i, ax in enumerate(fig.axes):
-        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
-        for tl in ax.get_xticklabels() + ax.get_yticklabels():
-            tl.set_visible(False)
-
-
-
-# demo 3 : gridspec with subplotpars set.
-
-f = plt.figure()
-
-plt.suptitle("GridSpec w/ different subplotpars")
-
-gs1 = GridSpec(3, 3)
-gs1.update(left=0.05, right=0.48, wspace=0.05)
-ax1 = plt.subplot(gs1[:-1, :])
-ax2 = plt.subplot(gs1[-1, :-1])
-ax3 = plt.subplot(gs1[-1, -1])
-
-gs2 = GridSpec(3, 3)
-gs2.update(left=0.55, right=0.98, hspace=0.05)
-ax4 = plt.subplot(gs2[:, :-1])
-ax5 = plt.subplot(gs2[:-1, -1])
-ax6 = plt.subplot(gs2[-1, -1])
-
-make_ticklabels_invisible(plt.gcf())
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/demo_gridspec04.py b/doc/users/plotting/examples/demo_gridspec04.py
deleted file mode 100644
index f948b13d91e7..000000000000
--- a/doc/users/plotting/examples/demo_gridspec04.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.gridspec as gridspec
-
-def make_ticklabels_invisible(fig):
-    for i, ax in enumerate(fig.axes):
-        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
-        for tl in ax.get_xticklabels() + ax.get_yticklabels():
-            tl.set_visible(False)
-
-
-
-# gridspec inside gridspec
-
-f = plt.figure()
-
-gs0 = gridspec.GridSpec(1, 2)
-
-gs00 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gs0[0])
-
-ax1 = plt.Subplot(f, gs00[:-1, :])
-f.add_subplot(ax1)
-ax2 = plt.Subplot(f, gs00[-1, :-1])
-f.add_subplot(ax2)
-ax3 = plt.Subplot(f, gs00[-1, -1])
-f.add_subplot(ax3)
-
-
-gs01 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gs0[1])
-
-ax4 = plt.Subplot(f, gs01[:, :-1])
-f.add_subplot(ax4)
-ax5 = plt.Subplot(f, gs01[:-1, -1])
-f.add_subplot(ax5)
-ax6 = plt.Subplot(f, gs01[-1, -1])
-f.add_subplot(ax6)
-
-plt.suptitle("GirdSpec Inside GridSpec")
-make_ticklabels_invisible(plt.gcf())
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/demo_gridspec05.py b/doc/users/plotting/examples/demo_gridspec05.py
deleted file mode 100644
index 6bc263a89331..000000000000
--- a/doc/users/plotting/examples/demo_gridspec05.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.gridspec as gridspec
-
-def make_ticklabels_invisible(fig):
-    for i, ax in enumerate(fig.axes):
-        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
-        for tl in ax.get_xticklabels() + ax.get_yticklabels():
-            tl.set_visible(False)
-
-
-
-f = plt.figure()
-
-gs = gridspec.GridSpec(2, 2,
-                       width_ratios=[1,2],
-                       height_ratios=[4,1]
-                       )
-
-ax1 = plt.subplot(gs[0])
-ax2 = plt.subplot(gs[1])
-ax3 = plt.subplot(gs[2])
-ax4 = plt.subplot(gs[3])
-
-make_ticklabels_invisible(f)
-plt.show()
-
diff --git a/doc/users/plotting/examples/demo_gridspec06.py b/doc/users/plotting/examples/demo_gridspec06.py
deleted file mode 100644
index ead2029af251..000000000000
--- a/doc/users/plotting/examples/demo_gridspec06.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.gridspec as gridspec
-import numpy as np
-
-try:
-    from itertools import product
-except ImportError:
-    # product is new in v 2.6
-    def product(*args, **kwds):
-        pools = map(tuple, args) * kwds.get('repeat', 1)
-        result = [[]]
-        for pool in pools:
-            result = [x+[y] for x in result for y in pool]
-        for prod in result:
-            yield tuple(prod)
-
-
-def squiggle_xy(a, b, c, d, i=np.arange(0.0, 2*np.pi, 0.05)):
-    return np.sin(i*a)*np.cos(i*b), np.sin(i*c)*np.cos(i*d)
-
-fig = plt.figure(figsize=(8, 8))
-
-# gridspec inside gridspec
-outer_grid = gridspec.GridSpec(4, 4, wspace=0.0, hspace=0.0)
-
-for i in xrange(16):
-    inner_grid = gridspec.GridSpecFromSubplotSpec(3, 3,
-            subplot_spec=outer_grid[i], wspace=0.0, hspace=0.0)
-    a, b = int(i/4)+1,i%4+1
-    for j, (c, d) in enumerate(product(range(1, 4), repeat=2)):
-        ax = plt.Subplot(fig, inner_grid[j])
-        ax.plot(*squiggle_xy(a, b, c, d))
-        ax.set_xticks([])
-        ax.set_yticks([])
-        fig.add_subplot(ax)
-
-all_axes = fig.get_axes()
-
-#show only the outside spines
-for ax in all_axes:
-    for sp in ax.spines.values():
-        sp.set_visible(False)
-    if ax.is_first_row():
-        ax.spines['top'].set_visible(True)
-    if ax.is_last_row():
-        ax.spines['bottom'].set_visible(True)
-    if ax.is_first_col():
-        ax.spines['left'].set_visible(True)
-    if ax.is_last_col():
-        ax.spines['right'].set_visible(True)
-
-plt.show()
-
diff --git a/doc/users/plotting/examples/pgf_fonts.py b/doc/users/plotting/examples/pgf_fonts.py
deleted file mode 100644
index ae260b151406..000000000000
--- a/doc/users/plotting/examples/pgf_fonts.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import matplotlib as mpl
-mpl.use("pgf")
-pgf_with_rc_fonts = {
-    "font.family": "serif",
-    "font.serif": [],                   # use latex default serif font
-    "font.sans-serif": ["DejaVu Sans"], # use a specific sans-serif font
-}
-mpl.rcParams.update(pgf_with_rc_fonts)
-
-import matplotlib.pyplot as plt
-plt.figure(figsize=(4.5,2.5))
-plt.plot(range(5))
-plt.text(0.5, 3., "serif")
-plt.text(0.5, 2., "monospace", family="monospace")
-plt.text(2.5, 2., "sans-serif", family="sans-serif")
-plt.text(2.5, 1., "comic sans", family="Comic Sans MS")
-plt.xlabel(u"µ is not $\\mu$")
-plt.tight_layout(.5)
-
-plt.savefig("pgf_fonts.pdf")
-plt.savefig("pgf_fonts.png")
diff --git a/doc/users/plotting/examples/pgf_preamble.py b/doc/users/plotting/examples/pgf_preamble.py
deleted file mode 100644
index f233afbd1db7..000000000000
--- a/doc/users/plotting/examples/pgf_preamble.py
+++ /dev/null
@@ -1,32 +0,0 @@
-# -*- coding: utf-8 -*-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib as mpl
-mpl.use("pgf")
-pgf_with_custom_preamble = {
-    "font.family": "serif", # use serif/main font for text elements
-    "text.usetex": True,    # use inline math for ticks
-    "pgf.rcfonts": False,   # don't setup fonts from rc parameters
-    "pgf.preamble": [
-         "\\usepackage{units}",         # load additional packages
-         "\\usepackage{metalogo}",
-         "\\usepackage{unicode-math}",  # unicode math setup
-         r"\setmathfont{xits-math.otf}",
-         r"\setmainfont{DejaVu Serif}", # serif font via preamble
-         ]
-}
-mpl.rcParams.update(pgf_with_custom_preamble)
-
-import matplotlib.pyplot as plt
-plt.figure(figsize=(4.5,2.5))
-plt.plot(range(5))
-plt.xlabel("unicode text: �, ψ, €, ü, \\unitfrac[10]{°}{µm}")
-plt.ylabel("\\XeLaTeX")
-plt.legend(["unicode math: $λ=∑_i^∞ μ_i^2$"])
-plt.tight_layout(.5)
-
-plt.savefig("pgf_preamble.pdf")
-plt.savefig("pgf_preamble.png")
diff --git a/doc/users/plotting/examples/pgf_texsystem.py b/doc/users/plotting/examples/pgf_texsystem.py
deleted file mode 100644
index 88231348b5e2..000000000000
--- a/doc/users/plotting/examples/pgf_texsystem.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import matplotlib as mpl
-mpl.use("pgf")
-pgf_with_pdflatex = {
-    "pgf.texsystem": "pdflatex",
-    "pgf.preamble": [
-         r"\usepackage[utf8x]{inputenc}",
-         r"\usepackage[T1]{fontenc}",
-         r"\usepackage{cmbright}",
-         ]
-}
-mpl.rcParams.update(pgf_with_pdflatex)
-
-import matplotlib.pyplot as plt
-plt.figure(figsize=(4.5,2.5))
-plt.plot(range(5))
-plt.text(0.5, 3., "serif", family="serif")
-plt.text(0.5, 2., "monospace", family="monospace")
-plt.text(2.5, 2., "sans-serif", family="sans-serif")
-plt.xlabel(u"µ is not $\\mu$")
-plt.tight_layout(.5)
-
-plt.savefig("pgf_texsystem.pdf")
-plt.savefig("pgf_texsystem.png")
diff --git a/doc/users/plotting/examples/simple_annotate01.py b/doc/users/plotting/examples/simple_annotate01.py
deleted file mode 100644
index 434b09efa22e..000000000000
--- a/doc/users/plotting/examples/simple_annotate01.py
+++ /dev/null
@@ -1,131 +0,0 @@
-
-import matplotlib.pyplot as plt
-import matplotlib.patches as mpatches
-
-x1, y1 = 0.3, 0.3
-x2, y2 = 0.7, 0.7
-
-fig = plt.figure(1)
-fig.clf()
-from mpl_toolkits.axes_grid.axes_grid import Grid
-from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
-
-from matplotlib.font_manager import FontProperties
-
-def add_at(ax, t, loc=2):
-    fp = dict(size=10)
-    _at = AnchoredText(t, loc=loc, prop=fp)
-    ax.add_artist(_at)
-    return _at
-
-
-grid = Grid(fig, 111, (4, 4), label_mode="1", share_all=True)
-
-grid[0].set_autoscale_on(False)
-
-ax = grid[0]
-ax.plot([x1, x2], [y1, y2], "o")
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="->"))
-
-add_at(ax, "A $->$ B", loc=2)
-
-ax = grid[1]
-ax.plot([x1, x2], [y1, y2], "o")
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="->",
-                            connectionstyle="arc3,rad=0.3"))
-
-add_at(ax, "connectionstyle=arc3", loc=2)
-
-
-ax = grid[2]
-ax.plot([x1, x2], [y1, y2], "o")
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="->",
-                            connectionstyle="arc3,rad=0.3",
-                            shrinkB=5,
-                            )
-            )
-
-add_at(ax, "shrinkB=5", loc=2)
-
-
-ax = grid[3]
-ax.plot([x1, x2], [y1, y2], "o")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.5)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="->",
-                            connectionstyle="arc3,rad=0.2",
-                            )
-            )
-
-
-ax = grid[4]
-ax.plot([x1, x2], [y1, y2], "o")
-el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.5)
-ax.add_artist(el)
-ax.annotate("",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            arrowprops=dict(arrowstyle="->",
-                            connectionstyle="arc3,rad=0.2",
-                            patchB=el,
-                            )
-            )
-
-
-add_at(ax, "patchB", loc=2)
-
-
-
-ax = grid[5]
-ax.plot([x1], [y1], "o")
-ax.annotate("Test",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            ha="center", va="center",
-            bbox=dict(boxstyle="round",
-                      fc="w",
-                      ),
-            arrowprops=dict(arrowstyle="->",
-                            #connectionstyle="arc3,rad=0.2",
-                            )
-            )
-
-
-add_at(ax, "annotate", loc=2)
-
-
-ax = grid[6]
-ax.plot([x1], [y1], "o")
-ax.annotate("Test",
-            xy=(x1, y1), xycoords='data',
-            xytext=(x2, y2), textcoords='data',
-            ha="center", va="center",
-            bbox=dict(boxstyle="round",
-                      fc="w",
-                      ),
-            arrowprops=dict(arrowstyle="->",
-                            #connectionstyle="arc3,rad=0.2",
-                            relpos=(0., 0.)
-                            )
-            )
-
-
-add_at(ax, "relpos=(0,0)", loc=2)
-
-
-
-#ax.set_xlim(0, 1)
-#ax.set_ylim(0, 1)
-plt.draw()
diff --git a/doc/users/plotting/examples/simple_legend01.py b/doc/users/plotting/examples/simple_legend01.py
deleted file mode 100644
index a234f970db95..000000000000
--- a/doc/users/plotting/examples/simple_legend01.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import matplotlib.pyplot as plt
-
-
-plt.subplot(211)
-plt.plot([1,2,3], label="test1")
-plt.plot([3,2,1], label="test2")
-# Place a legend above this legend, expanding itself to
-# fully use the given bounding box.
-plt.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3,
-           ncol=2, mode="expand", borderaxespad=0.)
-
-plt.subplot(223)
-plt.plot([1,2,3], label="test1")
-plt.plot([3,2,1], label="test2")
-# Place a legend to the right of this smaller figure.
-plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
-
-plt.show()
diff --git a/doc/users/plotting/examples/simple_legend02.py b/doc/users/plotting/examples/simple_legend02.py
deleted file mode 100644
index dabd2f072e72..000000000000
--- a/doc/users/plotting/examples/simple_legend02.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import matplotlib.pyplot as plt
-
-line1, = plt.plot([1,2,3], label="Line 1", linestyle='--')
-line2, = plt.plot([3,2,1], label="Line 2", linewidth=4)
-
-# Create a legend for the first line.
-first_legend = plt.legend(handles=[line1], loc=1)
-
-# Add the legend manually to the current Axes.
-ax = plt.gca().add_artist(first_legend)
-
-# Create another legend for the second line.
-plt.legend(handles=[line2], loc=4)
-
-plt.show()
diff --git a/doc/users/prev_whats_new/changelog.rst b/doc/users/prev_whats_new/changelog.rst
new file mode 100644
index 000000000000..8f505e4fdd37
--- /dev/null
+++ b/doc/users/prev_whats_new/changelog.rst
@@ -0,0 +1,6403 @@
+.. _old_changelog:
+
+List of changes to Matplotlib prior to 2015
+===========================================
+
+This is a list of the changes made to Matplotlib from 2003 to 2015. For more
+recent changes, please refer to the :doc:`/users/release_notes`.
+
+2015-11-16
+    Levels passed to contour(f) and tricontour(f) must be in increasing order.
+
+2015-10-21
+    Added TextBox widget
+
+2015-10-21
+    Added get_ticks_direction()
+
+2015-02-27
+    Added the rcParam 'image.composite_image' to permit users to decide whether
+    they want the vector graphics backends to combine all images within a set
+    of axes into a single composite image.  (If images do not get combined,
+    users can open vector graphics files in Adobe Illustrator or Inkscape and
+    edit each image individually.)
+
+2015-02-19
+    Rewrite of C++ code that calculates contours to add support for corner
+    masking.  This is controlled by the 'corner_mask' keyword in plotting
+    commands 'contour' and 'contourf'. - IMT
+
+2015-01-23
+    Text bounding boxes are now computed with advance width rather than ink
+    area.  This may result in slightly different placement of text.
+
+2014-10-27
+    Allowed selection of the backend using the :envvar:`MPLBACKEND` environment
+    variable. Added documentation on backend selection methods.
+
+2014-09-27
+    Overhauled `.colors.LightSource`.  Added `.LightSource.hillshade` to allow
+    the independent generation of illumination maps. Added new types of
+    blending for creating more visually appealing shaded relief plots (e.g.
+    ``blend_mode="overlay"``, etc, in addition to the legacy "hsv" mode).
+
+2014-06-10
+    Added Colorbar.remove()
+
+2014-06-07
+    Fixed bug so radial plots can be saved as ps in py3k.
+
+2014-06-01
+    Changed the fmt kwarg of errorbar to support the mpl convention that
+    "none" means "don't draw it", and to default to the empty string, so that
+    plotting of data points is done with the plot() function defaults.
+    Deprecated use of the None object in place "none".
+
+2014-05-22
+    Allow the linscale keyword parameter of symlog scale to be smaller than
+    one.
+
+2014-05-20
+    Added logic in FontManager to invalidate font-cache if font-family rcparams
+    have changed.
+
+2014-05-16
+    Fixed the positioning of multi-line text in the PGF backend.
+
+2014-05-14
+    Added Axes.add_image() as the standard way to add AxesImage instances to
+    Axes. This improves the consistency with add_artist(), add_collection(),
+    add_container(), add_line(), add_patch(), and add_table().
+
+2014-05-02
+    Added colorblind-friendly colormap, named 'Wistia'.
+
+2014-04-27
+    Improved input clean up in Axes.{h|v}lines
+    Coerce input into a 1D ndarrays (after dealing with units).
+
+2014-04-27
+    removed un-needed cast to float in stem
+
+2014-04-23
+    Updated references to "ipython -pylab" The preferred method for invoking
+    pylab is now using the "%pylab" magic.
+    -Chris G.
+
+2014-04-22
+    Added (re-)generate a simple automatic legend to "Figure Options" dialog of
+    the Qt4Agg backend.
+
+2014-04-22
+    Added an example showing the difference between interpolation = 'none' and
+    interpolation = 'nearest' in `~.Axes.imshow` when saving vector graphics
+    files.
+
+2014-04-22
+    Added violin plotting functions. See `.Axes.violinplot`, `.Axes.violin`,
+    `.cbook.violin_stats` and `.mlab.GaussianKDE` for details.
+
+2014-04-10
+    Fixed the triangular marker rendering error. The "Up" triangle was rendered
+    instead of "Right" triangle and vice-versa.
+
+2014-04-08
+    Fixed a bug in parasite_axes.py by making a list out of a generator at line
+    263.
+
+2014-04-02
+    Added ``clipon=False`` to patch creation of wedges and shadows in
+    `~.Axes.pie`.
+
+2014-02-25
+    In backend_qt4agg changed from using update -> repaint under windows.  See
+    comment in source near ``self._priv_update`` for longer explanation.
+
+2014-03-27
+    Added tests for pie ccw parameter. Removed pdf and svg images from tests
+    for pie linewidth parameter.
+
+2014-03-24
+    Changed the behaviour of axes to not ignore leading or trailing patches of
+    height 0 (or width 0) while calculating the x and y axis limits. Patches
+    having both height == 0 and width == 0 are ignored.
+
+2014-03-24
+    Added bool kwarg (manage_xticks) to boxplot to enable/disable the
+    management of the xlimits and ticks when making a boxplot.  Default in True
+    which maintains current behavior by default.
+
+2014-03-23
+    Fixed a bug in projections/polar.py by making sure that the theta value
+    being calculated when given the mouse coordinates stays within the range of
+    0 and 2 * pi.
+
+2014-03-22
+    Added the keyword arguments wedgeprops and textprops to pie.  Users can
+    control the wedge and text properties of the pie in more detail, if they
+    choose.
+
+2014-03-17
+    Bug was fixed in append_axes from the AxesDivider class would not append
+    axes in the right location with respect to the reference locator axes
+
+2014-03-13
+    Add parameter 'clockwise' to function pie, True by default.
+
+2014-02-28
+    Added 'origin' kwarg to `~.Axes.spy`
+
+2014-02-27
+    Implemented separate horizontal/vertical axes padding to the ImageGrid in
+    the AxesGrid toolkit
+
+2014-02-27
+    Allowed markevery property of matplotlib.lines.Line2D to be, an int numpy
+    fancy index, slice object, or float.  The float behaviour turns on markers
+    at approximately equal display-coordinate-distances along the line.
+
+2014-02-25
+    In backend_qt4agg changed from using update -> repaint under windows.  See
+    comment in source near ``self._priv_update`` for longer explanation.
+
+2014-01-02
+    `~.Axes.triplot` now returns the artist it adds and support of line and
+    marker kwargs has been improved. GBY
+
+2013-12-30
+    Made streamplot grid size consistent for different types of density
+    argument. A 30x30 grid is now used for both density=1 and density=(1, 1).
+
+2013-12-03
+    Added a pure boxplot-drawing method that allow a more complete
+    customization of boxplots. It takes a list of dicts contains stats.  Also
+    created a function (`.cbook.boxplot_stats`) that generates the stats
+    needed.
+
+2013-11-28
+    Added qhull extension module to perform Delaunay triangulation more
+    robustly than before.  It is used by tri.Triangulation (and hence all
+    pyplot.tri* methods) and mlab.griddata.  Deprecated matplotlib.delaunay
+    module. - IMT
+
+2013-11-05
+    Add power-law normalization method. This is useful for, e.g., showing small
+    populations in a "hist2d" histogram.
+
+2013-10-27
+    Added get_rlabel_position and set_rlabel_position methods to PolarAxes to
+    control angular position of radial tick labels.
+
+2013-10-06
+    Add stride-based functions to mlab for easy creation of 2D arrays with less
+    memory.
+
+2013-10-06
+    Improve window and detrend functions in mlab, particular support for 2D
+    arrays.
+
+2013-10-06
+    Improve performance of all spectrum-related mlab functions and plots.
+
+2013-10-06
+    Added support for magnitude, phase, and angle spectrums to axes.specgram,
+    and support for magnitude, phase, angle, and complex spectrums to
+    mlab-specgram.
+
+2013-10-06
+    Added magnitude_spectrum, angle_spectrum, and phase_spectrum plots, as well
+    as magnitude_spectrum, angle_spectrum, phase_spectrum, and complex_spectrum
+    functions to mlab
+
+2013-07-12
+    Added support for datetime axes to 2d plots. Axis values are passed through
+    Axes.convert_xunits/Axes.convert_yunits before being used by
+    contour/contourf, pcolormesh and pcolor.
+
+2013-07-12
+    Allowed matplotlib.dates.date2num, matplotlib.dates.num2date, and
+    matplotlib.dates.datestr2num to accept n-d inputs. Also factored in support
+    for n-d arrays to matplotlib.dates.DateConverter and
+    matplotlib.units.Registry.
+
+2013-06-26
+    Refactored the axes module: the axes module is now a folder, containing the
+    following submodule:
+
+    - _subplots.py, containing all the subplots helper methods
+    - _base.py, containing several private methods and a new _AxesBase class.
+      This _AxesBase class contains all the methods that are not directly
+      linked to plots of the "old" Axes
+    - _axes.py contains the Axes class. This class now inherits from _AxesBase:
+      it contains all "plotting" methods and labelling methods.
+
+    This refactoring should not affect the API. Only private methods are not
+    importable from the axes module anymore.
+
+2013-05-18
+    Added support for arbitrary rasterization resolutions to the SVG backend.
+    Previously the resolution was hard coded to 72 dpi. Now the backend class
+    takes a image_dpi argument for its constructor, adjusts the image bounding
+    box accordingly and forwards a magnification factor to the image renderer.
+    The code and results now resemble those of the PDF backend.
+    - MW
+
+2013-05-08
+    Changed behavior of hist when given stacked=True and normed=True.
+    Histograms are now stacked first, then the sum is normalized.  Previously,
+    each histogram was normalized, then they were stacked.
+
+2013-04-25
+    Changed all instances of::
+
+        from matplotlib import MatplotlibDeprecationWarning as mplDeprecation
+
+    to::
+
+        from cbook import mplDeprecation
+
+    and removed the import into the matplotlib namespace in __init__.py
+    - Thomas Caswell
+
+2013-04-15
+    Added 'axes.xmargin' and 'axes.ymargin' to rpParams to set default margins
+    on auto-scaling. - TAC
+
+2013-04-16
+    Added patheffect support for Line2D objects.  -JJL
+
+2013-03-31
+    Added support for arbitrary unstructured user-specified triangulations to
+    Axes3D.tricontour[f] - Damon McDougall
+
+2013-03-19
+    Added support for passing *linestyle* kwarg to `~.Axes.step` so all
+    `~.Axes.plot` kwargs are passed to the underlying `~.Axes.plot` call.  -TAC
+
+2013-02-25
+    Added classes CubicTriInterpolator, UniformTriRefiner, TriAnalyzer to
+    matplotlib.tri module. - GBy
+
+2013-01-23
+    Add 'savefig.directory' to rcParams to remember and fill in the last
+    directory saved to for figure save dialogs - Martin Spacek
+
+2013-01-13
+    Add eventplot method to axes and pyplot and EventCollection class to
+    collections.
+
+2013-01-08
+    Added two extra titles to axes which are flush with the left and right
+    edges of the plot respectively.  Andrew Dawson
+
+2013-01-07
+    Add framealpha keyword argument to legend - PO
+
+2013-01-16
+    Till Stensitzki added a baseline feature to stackplot
+
+2012-12-22
+    Added classes for interpolation within triangular grids
+    (LinearTriInterpolator) and to find the triangles in which points lie
+    (TrapezoidMapTriFinder) to matplotlib.tri module. - IMT
+
+2012-12-05
+    Added MatplotlibDeprecationWarning class for signaling deprecation.
+    Matplotlib developers can use this class as follows::
+
+        from matplotlib import MatplotlibDeprecationWarning as mplDeprecation
+
+    In light of the fact that Python builtin DeprecationWarnings are ignored by
+    default as of Python 2.7, this class was put in to allow for the signaling
+    of deprecation, but via UserWarnings which are not ignored by default. - PI
+
+2012-11-27
+    Added the *mtext* parameter for supplying matplotlib.text.Text instances to
+    RendererBase.draw_tex and RendererBase.draw_text.  This allows backends to
+    utilize additional text attributes, like the alignment of text elements. -
+    pwuertz
+
+2012-11-26
+    deprecate matplotlib/mpl.py, which was used only in pylab.py and is now
+    replaced by the more suitable ``import matplotlib as mpl``. - PI
+
+2012-11-25
+    Make rc_context available via pyplot interface - PI
+
+2012-11-16
+    plt.set_cmap no longer throws errors if there is not already an active
+    colorable artist, such as an image, and just sets up the colormap to use
+    from that point forward. - PI
+
+2012-11-16
+    Added the function _get_rbga_face, which is identical to _get_rbg_face
+    except it return a (r,g,b,a) tuble, to line2D.  Modified Line2D.draw to use
+    _get_rbga_face to get the markerface color so that any alpha set by
+    markerfacecolor will respected.  - Thomas Caswell
+
+2012-11-13
+    Add a symmetric log normalization class to colors.py.  Also added some
+    tests for the normalization class.  Till Stensitzki
+
+2012-11-12
+    Make axes.stem take at least one argument.  Uses a default range(n) when
+    the first arg not provided.  Damon McDougall
+
+2012-11-09
+    Make plt.subplot() without arguments act as subplot(111) - PI
+
+2012-11-08
+    Replaced plt.figure and plt.subplot calls by the newer, more convenient
+    single call to plt.subplots() in the documentation examples - PI
+
+2012-10-05
+    Add support for saving animations as animated GIFs. - JVDP
+
+2012-08-11
+    Fix path-closing bug in patches.Polygon, so that regardless of whether the
+    path is the initial one or was subsequently set by set_xy(), get_xy() will
+    return a closed path if and only if get_closed() is True.  Thanks to Jacob
+    Vanderplas. - EF
+
+2012-08-05
+    When a norm is passed to contourf, either or both of the vmin, vmax
+    attributes of that norm are now respected.  Formerly they were respected
+    only if both were specified. In addition, vmin and/or vmax can now be
+    passed to contourf directly as kwargs. - EF
+
+2012-07-24
+    Contourf handles the extend kwarg by mapping the extended ranges outside
+    the normed 0-1 range so that they are handled by colormap colors determined
+    by the set_under and set_over methods.  Previously the extended ranges were
+    mapped to 0 or 1 so that the "under" and "over" colormap colors were
+    ignored. This change also increases slightly the color contrast for a given
+    set of contour levels. - EF
+
+2012-06-24
+    Make use of mathtext in tick labels configurable - DSD
+
+2012-06-05
+    Images loaded through PIL are now ordered correctly - CG
+
+2012-06-02
+    Add new Axes method and pyplot function, hist2d. - PO
+
+2012-05-31
+    Remove support for 'cairo.<format>' style of backend specification.
+    Deprecate 'cairo.format' and 'savefig.extension' rcParams and replace with
+    'savefig.format'. - Martin Spacek
+
+2012-05-29
+    pcolormesh now obeys the passed in "edgecolor" kwarg.  To support this, the
+    "shading" argument to pcolormesh now only takes "flat" or "gouraud".  To
+    achieve the old "faceted" behavior, pass "edgecolors='k'". - MGD
+
+2012-05-22
+    Added radius kwarg to pie charts. - HH
+
+2012-05-22
+    Collections now have a setting "offset_position" to select whether the
+    offsets are given in "screen" coordinates (default, following the old
+    behavior) or "data" coordinates.  This is currently used internally to
+    improve the performance of hexbin.
+
+    As a result, the "draw_path_collection" backend methods have grown a new
+    argument "offset_position". - MGD
+
+2012-05-04
+    Add a new argument to pie charts - startingangle - that allows one to
+    specify the angle offset for the first wedge of the chart. - EP
+
+2012-05-03
+    symlog scale now obeys the logarithmic base.  Previously, it was completely
+    ignored and always treated as base e. - MGD
+
+2012-05-03
+    Allow linscalex/y keyword to symlog scale that allows the size of the
+    linear portion relative to the logarithmic portion to be adjusted. - MGD
+
+2012-04-14
+    Added new plot style: stackplot. This new feature supports stacked area
+    plots. - Damon McDougall
+
+2012-04-06
+    When path clipping changes a LINETO to a MOVETO, it also changes any
+    CLOSEPOLY command to a LINETO to the initial point. This fixes a problem
+    with pdf and svg where the CLOSEPOLY would then draw a line to the latest
+    MOVETO position instead of the intended initial position. - JKS
+
+2012-03-27
+    Add support to ImageGrid for placing colorbars only at one edge of each
+    column/row. - RMM
+
+2012-03-07
+    Refactor movie writing into useful classes that make use of pipes to write
+    image data to ffmpeg or mencoder. Also improve settings for these and the
+    ability to pass custom options. - RMM
+
+2012-02-29
+    errorevery keyword added to errorbar to enable errorbar subsampling. fixes
+    issue #600.
+
+2012-02-28
+    Added plot_trisurf to the mplot3d toolkit. This supports plotting three
+    dimensional surfaces on an irregular grid. - Damon McDougall
+
+2012-01-23
+    The radius labels in polar plots no longer use a fixed padding, but use a
+    different alignment depending on the quadrant they are in.  This fixes
+    numerical problems when (rmax - rmin) gets too small. - MGD
+
+2012-01-08
+    Add axes.streamplot to plot streamlines of a velocity field.  Adapted from
+    Tom Flannaghan streamplot implementation. -TSY
+
+2011-12-29
+    ps and pdf markers are now stroked only if the line width is nonzero for
+    consistency with agg, fixes issue #621. - JKS
+
+2011-12-27
+    Work around an EINTR bug in some versions of subprocess. - JKS
+
+2011-10-25
+    added support for \operatorname to mathtext, including the ability to
+    insert spaces, such as $\operatorname{arg\,max}$ - PI
+
+2011-08-18
+    Change api of Axes.get_tightbbox and add an optional keyword parameter
+    *call_axes_locator*. - JJL
+
+2011-07-29
+    A new rcParam "axes.formatter.use_locale" was added, that, when True, will
+    use the current locale to format tick labels.  This means that, for
+    example, in the fr_FR locale, ',' will be used as a decimal separator.  -
+    MGD
+
+2011-07-15
+    The set of markers available in the plot() and scatter() commands has been
+    unified.  In general, this gives more options to both than were previously
+    available, however, there is one backward-incompatible change to the
+    markers in scatter:
+
+        "d" used to mean "diamond", it now means "narrow diamond".  "D" can be
+        used for a "diamond".
+
+    -MGD
+
+2011-07-13
+    Fix numerical problems in symlog scale, particularly when linthresh <= 1.0.
+    Symlog plots may look different if one was depending on the old broken
+    behavior - MGD
+
+2011-07-10
+    Fixed argument handling error in tripcolor/triplot/tricontour, issue #203.
+    - IMT
+
+2011-07-08
+    Many functions added to mplot3d.axes3d to bring Axes3D objects more
+    feature-parity with regular Axes objects.  Significant revisions to the
+    documentation as well.  - BVR
+
+2011-07-07
+    Added compatibility with IPython strategy for picking a version of Qt4
+    support, and an rcParam for making the choice explicitly: backend.qt4. - EF
+
+2011-07-07
+    Modified AutoMinorLocator to improve automatic choice of the number of
+    minor intervals per major interval, and to allow one to specify this number
+    via a kwarg. - EF
+
+2011-06-28
+    3D versions of scatter, plot, plot_wireframe, plot_surface, bar3d, and some
+    other functions now support empty inputs. - BVR
+
+2011-06-22
+    Add set_theta_offset, set_theta_direction and set_theta_zero_location to
+    polar axes to control the location of 0 and directionality of theta. - MGD
+
+2011-06-22
+    Add axes.labelweight parameter to set font weight to axis labels - MGD.
+
+2011-06-20
+    Add pause function to pyplot. - EF
+
+2011-06-16
+    Added *bottom* keyword parameter for the stem command.  Also, implemented a
+    legend handler for the stem plot.  - JJL
+
+2011-06-16
+    Added legend.frameon rcParams. - Mike Kaufman
+
+2011-05-31
+    Made backend_qt4 compatible with PySide . - Gerald Storer
+
+2011-04-17
+    Disable keyboard auto-repeat in qt4 backend by ignoring key events
+    resulting from auto-repeat.  This makes constrained zoom/pan work. - EF
+
+2011-04-14
+    interpolation="nearest" always interpolate images. A new mode "none" is
+    introduced for no interpolation - JJL
+
+2011-04-03
+    Fixed broken pick interface to AsteriskCollection objects used by scatter.
+    - EF
+
+2011-04-01
+    The plot directive Sphinx extension now supports all of the features in the
+    Numpy fork of that extension.  These include doctest formatting, an
+    'include-source' option, and a number of new configuration options. - MGD
+
+2011-03-29
+    Wrapped ViewVCCachedServer definition in a factory function.  This class
+    now inherits from urllib2.HTTPSHandler in order to fetch data from github,
+    but HTTPSHandler is not defined if python was built without SSL support. -
+    DSD
+
+2011-03-10
+    Update pytz version to 2011c, thanks to Simon Cross. - JKS
+
+2011-03-06
+    Add standalone tests.py test runner script. - JKS
+
+2011-03-06
+    Set edgecolor to 'face' for scatter asterisk-type symbols; this fixes a bug
+    in which these symbols were not responding to the c kwarg.  The symbols
+    have no face area, so only the edgecolor is visible. - EF
+
+2011-02-27
+    Support libpng version 1.5.x; suggestion by Michael Albert. Changed
+    installation specification to a minimum of libpng version 1.2.  - EF
+
+2011-02-20
+    clabel accepts a callable as an fmt kwarg; modified patch by Daniel Hyams.
+    - EF
+
+2011-02-18
+    scatter([], []) is now valid.  Also fixed issues with empty collections -
+    BVR
+
+2011-02-07
+    Quick workaround for dviread bug #3175113 - JKS
+
+2011-02-05
+    Add cbook memory monitoring for Windows, using tasklist. - EF
+
+2011-02-05
+    Speed up Normalize and LogNorm by using in-place operations and by using
+    float32 for float32 inputs and for ints of 2 bytes or shorter; based on
+    patch by Christoph Gohlke. - EF
+
+2011-02-04
+    Changed imshow to use rgba as uint8 from start to finish, instead of going
+    through an intermediate step as double precision; thanks to Christoph
+    Gohlke. - EF
+
+2011-01-13
+    Added zdir and offset arguments to contourf3d to bring contourf3d in
+    feature parity with contour3d. - BVR
+
+2011-01-04
+    Tag 1.0.1 for release at r8896
+
+2011-01-03
+    Added display of ticker offset to 3d plots. - BVR
+
+2011-01-03
+    Turn off tick labeling on interior subplots for pyplots.subplots when
+    sharex/sharey is True. - JDH
+
+2010-12-29
+    Implement axes_divider.HBox and VBox. -JJL
+
+2010-11-22
+    Fixed error with Hammer projection. - BVR
+
+2010-11-12
+    Fixed the placement and angle of axis labels in 3D plots. - BVR
+
+2010-11-07
+    New rc parameters examples.download and examples.directory allow bypassing
+    the download mechanism in get_sample_data.  - JKS
+
+2010-10-04
+    Fix JPEG saving bug: only accept the kwargs documented by PIL for JPEG
+    files. - JKS
+
+2010-09-15
+    Remove unused _wxagg extension and numerix.h. - EF
+
+2010-08-25
+    Add new framework for doing animations with examples.- RM
+
+2010-08-21
+    Remove unused and inappropriate methods from Tick classes:
+    set_view_interval, get_minpos, and get_data_interval are properly found in
+    the Axis class and don't need to be duplicated in XTick and YTick. - EF
+
+2010-08-21
+    Change Axis.set_view_interval() so that when updating an existing interval,
+    it respects the orientation of that interval, and can enlarge but not
+    reduce the interval.  This fixes a bug in which Axis.set_ticks would change
+    the view limits of an inverted axis. Whether set_ticks should be affecting
+    the viewLim at all remains an open question. - EF
+
+2010-08-16
+    Handle NaN's correctly in path analysis routines.  Fixes a bug where the
+    best location for a legend was not calculated correctly when the line
+    contains NaNs. - MGD
+
+2010-08-14
+    Fix bug in patch alpha handling, and in bar color kwarg - EF
+
+2010-08-12
+    Removed all traces of numerix module after 17 months of deprecation
+    warnings. - EF
+
+2010-08-05
+    Added keyword arguments 'thetaunits' and 'runits' for polar plots.  Fixed
+    PolarAxes so that when it set default Formatters, it marked them as such.
+    Fixed semilogx and semilogy to no longer blindly reset the ticker
+    information on the non-log axis.  Axes.arrow can now accept unitized data.
+    - JRE
+
+2010-08-03
+    Add support for MPLSETUPCFG variable for custom setup.cfg filename.  Used
+    by sage buildbot to build an mpl w/ no gui support - JDH
+
+2010-08-01
+    Create directory specified by MPLCONFIGDIR if it does not exist. - ADS
+
+2010-07-20
+    Return Qt4's default cursor when leaving the canvas - DSD
+
+2010-07-06
+    Tagging for mpl 1.0 at r8502
+
+2010-07-05
+    Added Ben Root's patch to put 3D plots in arbitrary axes, allowing you to
+    mix 3d and 2d in different axes/subplots or to have multiple 3D plots in
+    one figure.  See examples/mplot3d/subplot3d_demo.py - JDH
+
+2010-07-05
+    Preferred kwarg names in set_xlim are now 'left' and 'right'; in set_ylim,
+    'bottom' and 'top'; original kwargs are still accepted without complaint. -
+    EF
+
+2010-07-05
+    TkAgg and FltkAgg backends are now consistent with other interactive
+    backends: when used in scripts from the command line (not from ipython
+    -pylab), show blocks, and can be called more than once. - EF
+
+2010-07-02
+    Modified CXX/WrapPython.h to fix "swab bug" on solaris so mpl can compile
+    on Solaris with CXX6 in the trunk.  Closes tracker bug 3022815 - JDH
+
+2010-06-30
+    Added autoscale convenience method and corresponding pyplot function for
+    simplified control of autoscaling; and changed axis, set_xlim, and set_ylim
+    so that by default, they turn off the autoscaling on the relevant axis or
+    axes.  Therefore one can call set_xlim before plotting a line, for example,
+    and the limits will be retained. - EF
+
+2010-06-20
+    Added Axes.tick_params and corresponding pyplot function to control tick
+    and tick label appearance after an Axes has been created. - EF
+
+2010-06-09
+    Allow Axes.grid to control minor gridlines; allow Axes.grid and Axis.grid
+    to control major and minor gridlines in the same method call. - EF
+
+2010-06-06
+    Change the way we do split/dividend adjustments in finance.py to handle
+    dividends and fix the zero division bug reported in sf bug 2949906 and
+    2123566.  Note that volume is not adjusted because the Yahoo CSV does not
+    distinguish between share split and dividend adjustments making it near
+    impossible to get volume adjustment right (unless we want to guess based on
+    the size of the adjustment or scrape the html tables, which we don't) - JDH
+
+2010-06-06
+    Updated dateutil to 1.5 and pytz to 2010h.
+
+2010-06-02
+    Add error_kw kwarg to Axes.bar(). - EF
+
+2010-06-01
+    Fix pcolormesh() and QuadMesh to pass on kwargs as appropriate. - RM
+
+2010-05-18
+    Merge mpl_toolkits.gridspec into the main tree. - JJL
+
+2010-05-04
+    Improve backend_qt4 so it displays figures with the correct size - DSD
+
+2010-04-20
+    Added generic support for connecting to a timer for events. This adds
+    TimerBase, TimerGTK, TimerQT, TimerWx, and TimerTk to the backends and a
+    new_timer() method to each backend's canvas to allow ease of creating a new
+    timer. - RM
+
+2010-04-20
+    Added margins() Axes method and pyplot function. - EF
+
+2010-04-18
+    update the axes_grid documentation. -JJL
+
+2010-04-18
+    Control MaxNLocator parameters after instantiation, and via
+    Axes.locator_params method, with corresponding pyplot function. -EF
+
+2010-04-18
+    Control ScalarFormatter offsets directly and via the
+    Axes.ticklabel_format() method, and add that to pyplot. -EF
+
+2010-04-16
+    Add a close_event to the backends. -RM
+
+2010-04-06
+    modify axes_grid examples to use axes_grid1 and axisartist. -JJL
+
+2010-04-06
+    rebase axes_grid using axes_grid1 and axisartist modules. -JJL
+
+2010-04-06
+    axes_grid toolkit is split into two separate modules, axes_grid1 and
+    axisartist. -JJL
+
+2010-04-05
+    Speed up import: import pytz only if and when it is needed.  It is not
+    needed if the rc timezone is UTC. - EF
+
+2010-04-03
+    Added color kwarg to Axes.hist(), based on work by Jeff Klukas. - EF
+
+2010-03-24
+    refactor colorbar code so that no cla() is necessary when mappable is
+    changed. -JJL
+
+2010-03-22
+    fix incorrect rubber band during the zoom mode when mouse leaves the axes.
+    -JJL
+
+2010-03-21
+    x/y key during the zoom mode only changes the x/y limits. -JJL
+
+2010-03-20
+    Added pyplot.sca() function suggested by JJL. - EF
+
+2010-03-20
+    Added conditional support for new Tooltip API in gtk backend. - EF
+
+2010-03-20
+    Changed plt.fig_subplot() to plt.subplots() after discussion on list, and
+    changed its API to return axes as a numpy object array (with control of
+    dimensions via squeeze keyword). FP.
+
+2010-03-13
+    Manually brought in commits from branch::
+
+        ------------------------------------------------------------------------
+        r8191 | leejjoon | 2010-03-13
+        17:27:57 -0500 (Sat, 13 Mar 2010) | 1 line
+
+    fix the bug that handles for scatter are incorrectly set when dpi!=72.
+    Thanks to Ray Speth for the bug report.
+
+2010-03-03
+    Manually brought in commits from branch via diff/patch (svnmerge is broken)::
+
+        ------------------------------------------------------------------------
+        r8175 | leejjoon | 2010-03-03
+        10:03:30 -0800 (Wed, 03 Mar 2010) | 1 line
+
+        fix arguments of allow_rasterization.draw_wrapper
+        ------------------------------------------------------------------------
+        r8174 | jdh2358 | 2010-03-03
+        09:15:58 -0800 (Wed, 03 Mar 2010) | 1 line
+
+        added support for favicon in docs build
+        ------------------------------------------------------------------------
+        r8173 | jdh2358 | 2010-03-03
+        08:56:16 -0800 (Wed, 03 Mar 2010) | 1 line
+
+        applied Mattias get_bounds patch
+        ------------------------------------------------------------------------
+        r8172 | jdh2358 | 2010-03-03
+        08:31:42 -0800 (Wed, 03 Mar 2010) | 1 line
+
+        fix svnmerge download instructions
+        ------------------------------------------------------------------------
+        r8171 | jdh2358 | 2010-03-03
+        07:47:48 -0800 (Wed, 03 Mar 2010) | 1 line
+
+2010-02-25
+    add annotation_demo3.py that demonstrates new functionality. -JJL
+
+2010-02-25
+    refactor Annotation to support arbitrary Transform as xycoords or
+    textcoords. Also, if a tuple of two coordinates is provided, they are
+    interpreted as coordinates for each x and y position.  -JJL
+
+2010-02-24
+    Added pyplot.fig_subplot(), to create a figure and a group of subplots in a
+    single call.  This offers an easier pattern than manually making figures
+    and calling add_subplot() multiple times. FP
+
+2010-02-17
+    Added Gokhan's and Mattias' customizable keybindings patch for the toolbar.
+    You can now set the keymap.* properties in the matplotlibrc file.
+    Newbindings were added for toggling log scaling on the x-axis. JDH
+
+2010-02-16
+    Committed TJ's filled marker patch for left|right|bottom|top|full filled
+    markers.  See examples/pylab_examples/filledmarker_demo.py. JDH
+
+2010-02-11
+    Added 'bootstrap' option to boxplot. This allows bootstrap estimates of
+    median confidence intervals. Based on an initial patch by Paul Hobson. -
+    ADS
+
+2010-02-06
+    Added setup.cfg "basedirlist" option to override setting in setupext.py
+    "basedir" dictionary; added "gnu0" platform requested by Benjamin Drung. -
+    EF
+
+2010-02-06
+    Added 'xy' scaling option to EllipseCollection. - EF
+
+2010-02-03
+    Made plot_directive use a custom PlotWarning category, so that warnings can
+    be turned into fatal errors easily if desired. - FP
+
+2010-01-29
+    Added draggable method to Legend to allow mouse drag placement.  Thanks
+    Adam Fraser. JDH
+
+2010-01-25
+    Fixed a bug reported by Olle Engdegard, when using histograms with
+    stepfilled and log=True - MM
+
+2010-01-16
+    Upgraded CXX to 6.1.1 - JDH
+
+2009-01-16
+    Don't create minor ticks on top of existing major ticks. Patch by Neil
+    Crighton. -ADS
+
+2009-01-16
+    Ensure three minor ticks always drawn (SF# 2924245). Patch by Neil
+    Crighton. -ADS
+
+2010-01-16
+    Applied patch by Ian Thomas to fix two contouring problems: now contourf
+    handles interior masked regions, and the boundaries of line and filled
+    contours coincide. - EF
+
+2009-01-11
+    The color of legend patch follows the rc parameters axes.facecolor and
+    axes.edgecolor. -JJL
+
+2009-01-11
+    adjustable of Axes can be "box-forced" which allow sharing axes. -JJL
+
+2009-01-11
+    Add add_click and pop_click methods in BlockingContourLabeler. -JJL
+
+2010-01-03
+    Added rcParams['axes.color_cycle'] - EF
+
+2010-01-03
+    Added Pierre's qt4 formlayout editor and toolbar button - JDH
+
+2009-12-31
+    Add support for using math text as marker symbols (Thanks to tcb) - MGD
+
+2009-12-31
+    Commit a workaround for a regression in PyQt4-4.6.{0,1} - DSD
+
+2009-12-22
+    Fix cmap data for gist_earth_r, etc. -JJL
+
+2009-12-20
+    spines: put spines in data coordinates, add set_bounds() call. -ADS
+
+2009-12-18
+    Don't limit notch size in boxplot to q1-q3 range, as this is effectively
+    making the data look better than it is. - ADS
+
+2009-12-18
+    mlab.prctile handles even-length data, such that the median is the mean of
+    the two middle values. - ADS
+
+2009-12-15
+    Add raw-image (unsampled) support for the ps backend. - JJL
+
+2009-12-14
+    Add patch_artist kwarg to boxplot, but keep old default.  Convert
+    boxplot_demo2.py to use the new patch_artist. - ADS
+
+2009-12-06
+    axes_grid: reimplemented AxisArtist with FloatingAxes support.  Added new
+    examples. - JJL
+
+2009-12-01
+    Applied Laurent Dufrechou's patch to improve blitting with the qt4 backend
+    - DSD
+
+2009-11-13
+    The pdf backend now allows changing the contents of a pdf file's
+    information dictionary via PdfPages.infodict. - JKS
+
+2009-11-12
+    font_manager.py should no longer cause EINTR on Python 2.6 (but will on the
+    2.5 version of subprocess). Also the fc-list command in that file was fixed
+    so now it should actually find the list of fontconfig fonts. - JKS
+
+2009-11-10
+    Single images, and all images in renderers with option_image_nocomposite
+    (i.e. agg, macosx and the svg backend when rcParams['svg.image_noscale'] is
+    True), are now drawn respecting the zorder relative to other artists. (Note
+    that there may now be inconsistencies across backends when more than one
+    image is drawn at varying zorders, but this change introduces correct
+    behavior for the backends in which it's easy to do so.)
+
+2009-10-21
+    Make AutoDateLocator more configurable by adding options to control the
+    maximum and minimum number of ticks. Also add control of the intervals to
+    be used for ticking. This does not change behavior but opens previously
+    hard-coded behavior to runtime modification`. - RMM
+
+2009-10-19
+    Add "path_effects" support for Text and Patch. See
+    examples/pylab_examples/patheffect_demo.py -JJL
+
+2009-10-19
+    Add "use_clabeltext" option to clabel. If True, clabels will be created
+    with ClabelText class, which recalculates rotation angle of the label
+    during the drawing time. -JJL
+
+2009-10-16
+    Make AutoDateFormatter actually use any specified timezone setting.This was
+    only working correctly when no timezone was specified. - RMM
+
+2009-09-27
+    Beginnings of a capability to test the pdf backend. - JKS
+
+2009-09-27
+    Add a savefig.extension rcparam to control the default filename extension
+    used by savefig. - JKS
+
+===============================================
+
+2009-09-21
+    Tagged for release 0.99.1
+
+2009-09-20
+    Fix usetex spacing errors in pdf backend. - JKS
+
+2009-09-20
+    Add Sphinx extension to highlight IPython console sessions, originally
+    authored (I think) by Michael Droetboom. - FP
+
+2009-09-20
+    Fix off-by-one error in dviread.Tfm, and additionally protect against
+    exceptions in case a dvi font is missing some metrics. - JKS
+
+2009-09-15
+    Implement draw_text and draw_tex method of backend_base using the textpath
+    module. Implement draw_tex method of the svg backend. - JJL
+
+2009-09-15
+    Don't fail on AFM files containing floating-point bounding boxes - JKS
+
+2009-09-13
+    AxesGrid : add modified version of colorbar. Add colorbar location howto. -
+    JJL
+
+2009-09-07
+    AxesGrid : implemented axisline style.  Added a demo
+    examples/axes_grid/demo_axisline_style.py- JJL
+
+2009-09-04
+    Make the textpath class as a separate module (textpath.py). Add support for
+    mathtext and tex.- JJL
+
+2009-09-01
+    Added support for Gouraud interpolated triangles.  pcolormesh now accepts
+    shading='gouraud' as an option. - MGD
+
+2009-08-29
+    Added matplotlib.testing package, which contains a Nose plugin and a
+    decorator that lets tests be marked as KnownFailures - ADS
+
+2009-08-20
+    Added scaled dict to AutoDateFormatter for customized scales - JDH
+
+2009-08-15
+    Pyplot interface: the current image is now tracked at the figure and axes
+    level, addressing tracker item 1656374. - EF
+
+2009-08-15
+    Docstrings are now manipulated with decorators defined in a new module,
+    docstring.py, thanks to Jason Coombs. - EF
+
+2009-08-14
+    Add support for image filtering for agg back end. See the example
+    demo_agg_filter.py. -JJL
+
+2009-08-09
+    AnnotationBbox added. Similar to Annotation, but works with OffsetBox
+    instead of Text. See the example demo_annotation_box.py. -JJL
+
+2009-08-07
+    BboxImage implemented. Two examples, demo_bboximage.py and
+    demo_ribbon_box.py added. - JJL
+
+2009-08-07
+    In an effort to simplify the backend API, all clipping rectangles and paths
+    are now passed in using GraphicsContext objects, even on collections and
+    images.  Therefore::
+
+        draw_path_collection(self, master_transform, cliprect, clippath,
+                             clippath_trans, paths, all_transforms, offsets,
+                             offsetTrans, facecolors, edgecolors, linewidths,
+                             linestyles, antialiaseds, urls)
+
+    becomes::
+
+        draw_path_collection(self, gc, master_transform, paths, all_transforms,
+                             offsets, offsetTrans, facecolors, edgecolors,
+                             linewidths, linestyles, antialiaseds, urls)
+
+    ::
+
+        draw_quad_mesh(self, master_transform, cliprect, clippath,
+                       clippath_trans, meshWidth, meshHeight, coordinates,
+                       offsets, offsetTrans, facecolors, antialiased,
+                       showedges)
+
+    becomes::
+
+        draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
+                       coordinates, offsets, offsetTrans, facecolors,
+                       antialiased, showedges)
+
+    ::
+
+        draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None)
+
+    becomes::
+
+        draw_image(self, gc, x, y, im)
+
+    - MGD
+
+2009-08-06
+    Tagging the 0.99.0 release at svn r7397 - JDH
+
+    * fixed an alpha colormapping bug posted on sf 2832575
+
+    * fix typo in axes_divider.py. use nanmin, nanmax in angle_helper.py (patch
+      by Christoph Gohlke)
+
+    * remove dup gui event in enter/leave events in gtk
+
+    * lots of fixes for os x binaries (Thanks Russell Owen)
+
+    * attach gtk events to mpl events -- fixes sf bug 2816580
+
+    * applied sf patch 2815064 (middle button events for wx) and patch  2818092
+      (resize events for wx)
+
+    * fixed boilerplate.py so it doesn't break the ReST docs.
+
+    * removed a couple of cases of mlab.load
+
+    * fixed rec2csv win32 file handle bug from sf patch 2831018
+
+    * added two examples from Josh Hemann:
+      examples/pylab_examples/barchart_demo2.py and
+      examples/pylab_examples/boxplot_demo2.py
+
+    * handled sf bugs 2831556 and 2830525; better bar error messages and
+      backend driver configs
+
+    * added miktex win32 patch from sf patch 2820194
+
+    * apply sf patches 2830233 and 2823885 for osx setup and 64 bit;  thanks
+      Michiel
+
+2009-08-04
+    Made cbook.get_sample_data make use of the ETag and Last-Modified headers
+    of mod_dav_svn. - JKS
+
+2009-08-03
+    Add PathCollection; modify contourf to use complex paths instead of simple
+    paths with cuts. - EF
+
+2009-08-03
+    Fixed boilerplate.py so it doesn't break the ReST docs. - JKS
+
+2009-08-03
+    pylab no longer provides a load and save function.  These are available in
+    matplotlib.mlab, or you can use numpy.loadtxt and numpy.savetxt for text
+    files, or np.save and np.load for binary numpy arrays. - JDH
+
+2009-07-31
+    Added cbook.get_sample_data for urllib enabled fetching and caching of data
+    needed for examples.  See examples/misc/sample_data_demo.py - JDH
+
+2009-07-31
+    Tagging 0.99.0.rc1 at 7314 - MGD
+
+2009-07-30
+    Add set_cmap and register_cmap, and improve get_cmap, to provide convenient
+    handling of user-generated colormaps. Reorganized _cm and cm modules. - EF
+
+2009-07-28
+    Quiver speed improved, thanks to tip by Ray Speth. -EF
+
+2009-07-27
+    Simplify argument handling code for plot method. -EF
+
+2009-07-25
+    Allow "plot(1, 2, 'r*')" to work. - EF
+
+2009-07-22
+    Added an 'interp' keyword to griddata so the faster linear interpolation
+    method can be chosen.  Default is 'nn', so default behavior (using natural
+    neighbor method) is unchanged (JSW)
+
+2009-07-22
+    Improved boilerplate.py so that it generates the correct signatures for
+    pyplot functions. - JKS
+
+2009-07-19
+    Fixed the docstring of Axes.step to reflect the correct meaning of the
+    kwargs "pre" and "post" - See SF bug
+    \https://sourceforge.net/tracker/index.php?func=detail&aid=2823304&group_id=80706&atid=560720
+    - JDH
+
+2009-07-18
+    Fix support for hatches without color fills to pdf and svg backends. Add an
+    example of that to hatch_demo.py. - JKS
+
+2009-07-17
+    Removed fossils from swig version of agg backend. - EF
+
+2009-07-14
+    initial submission of the annotation guide. -JJL
+
+2009-07-14
+    axes_grid : minor improvements in anchored_artists and inset_locator. -JJL
+
+2009-07-14
+    Fix a few bugs in ConnectionStyle algorithms. Add ConnectionPatch class.
+    -JJL
+
+2009-07-11
+    Added a fillstyle Line2D property for half filled markers -- see
+    examples/pylab_examples/fillstyle_demo.py JDH
+
+2009-07-08
+    Attempt to improve performance of qt4 backend, do not call
+    qApp.processEvents while processing an event. Thanks Ole Streicher for
+    tracking this down - DSD
+
+2009-06-24
+    Add withheader option to mlab.rec2csv and changed use_mrecords default to
+    False in mlab.csv2rec since this is partially broken - JDH
+
+2009-06-24
+    backend_agg.draw_marker quantizes the main path (as in the draw_path). -
+    JJL
+
+2009-06-24
+    axes_grid: floating axis support added. - JJL
+
+2009-06-14
+    Add new command line options to backend_driver.py to support running only
+    some directories of tests - JKS
+
+2009-06-13
+    partial cleanup of mlab and its importation in pylab - EF
+
+2009-06-13
+    Introduce a rotation_mode property for the Text artist. See
+    examples/pylab_examples/demo_text_rotation_mode.py -JJL
+
+2009-06-07
+    add support for bz2 files per sf support request 2794556 - JDH
+
+2009-06-06
+    added a properties method to the artist and inspector to return a dict
+    mapping property name -> value; see sf feature request 2792183 - JDH
+
+2009-06-06
+    added Neil's auto minor tick patch; sf patch #2789713 - JDH
+
+2009-06-06
+    do not apply alpha to rgba color conversion if input is already rgba - JDH
+
+2009-06-03
+    axes_grid : Initial check-in of curvelinear grid support. See
+    examples/axes_grid/demo_curvelinear_grid.py - JJL
+
+2009-06-01
+    Add set_color method to Patch - EF
+
+2009-06-01
+    Spine is now derived from Patch - ADS
+
+2009-06-01
+    use cbook.is_string_like() instead of isinstance() for spines - ADS
+
+2009-06-01
+    cla() support for spines - ADS
+
+2009-06-01
+    Removed support for gtk < 2.4. - EF
+
+2009-05-29
+    Improved the animation_blit_qt4 example, which was a mix of the
+    object-oriented and pylab interfaces. It is now strictly object-oriented -
+    DSD
+
+2009-05-28
+    Fix axes_grid toolkit to work with spine patch by ADS. - JJL
+
+2009-05-28
+    Applied fbianco's patch to handle scroll wheel events in the qt4 backend -
+    DSD
+
+2009-05-26
+    Add support for "axis spines" to have arbitrary location. -ADS
+
+2009-05-20
+    Add an empty matplotlibrc to the tests/ directory so that running tests
+    will use the default set of rcparams rather than the user's config. - RMM
+
+2009-05-19
+    Axis.grid(): allow use of which='major,minor' to have grid on major and
+    minor ticks. -ADS
+
+2009-05-18
+    Make psd(), csd(), and cohere() wrap properly for complex/two-sided
+    versions, like specgram() (SF #2791686) - RMM
+
+2009-05-18
+    Fix the linespacing bug of multiline text (#1239682). See
+    examples/pylab_examples/multiline.py -JJL
+
+2009-05-18
+    Add *annotation_clip* attr. for text.Annotation class.  If True, annotation
+    is only drawn when the annotated point is inside the axes area. -JJL
+
+2009-05-17
+    Fix bug(#2749174) that some properties of minor ticks are not conserved
+    -JJL
+
+2009-05-17
+    applied Michiel's sf patch 2790638 to turn off gtk event loop in setupext
+    for pygtk>=2.15.10 - JDH
+
+2009-05-17
+    applied Michiel's sf patch 2792742 to speed up Cairo and macosx
+    collections; speedups can be 20x.  Also fixes some bugs in which gc got
+    into inconsistent state
+
+-----------------------
+
+2008-05-17
+    Release 0.98.5.3 at r7107 from the branch - JDH
+
+2009-05-13
+    An optional offset and bbox support in restore_bbox.  Add
+    animation_blit_gtk2.py. -JJL
+
+2009-05-13
+    psfrag in backend_ps now uses baseline-alignment when preview.sty is used
+    ((default is bottom-alignment). Also, a small API improvement in
+    OffsetBox-JJL
+
+2009-05-13
+    When the x-coordinate of a line is monotonically increasing, it is now
+    automatically clipped at the stage of generating the transformed path in
+    the draw method; this greatly speeds up zooming and panning when one is
+    looking at a short segment of a long time series, for example. - EF
+
+2009-05-11
+    aspect=1 in log-log plot gives square decades. -JJL
+
+2009-05-08
+    clabel takes new kwarg, rightside_up; if False, labels will not be flipped
+    to keep them rightside-up.  This allows the use of clabel to make
+    streamfunction arrows, as requested by Evan Mason. - EF
+
+2009-05-07
+    'labelpad' can now be passed when setting x/y labels. This allows
+    controlling the spacing between the label and its axis. - RMM
+
+2009-05-06
+    print_ps now uses mixed-mode renderer. Axes.draw rasterize artists whose
+    zorder smaller than rasterization_zorder.  -JJL
+
+2009-05-06
+    Per-artist Rasterization, originally by Eric Bruning. -JJ
+
+2009-05-05
+    Add an example that shows how to make a plot that updates using data from
+    another process.  Thanks to Robert Cimrman - RMM
+
+2009-05-05
+    Add Axes.get_legend_handles_labels method. - JJL
+
+2009-05-04
+    Fix bug that Text.Annotation is still drawn while set to not visible. - JJL
+
+2009-05-04
+    Added TJ's fill_betweenx patch - JDH
+
+2009-05-02
+    Added options to plotfile based on question from Joseph Smidt and patch by
+    Matthias Michler. - EF
+
+2009-05-01
+    Changed add_artist and similar Axes methods to return their argument. - EF
+
+2009-04-30
+    Incorrect eps bbox for landscape mode fixed - JJL
+
+2009-04-28
+    Fixed incorrect bbox of eps output when usetex=True. - JJL
+
+2009-04-24
+    Changed use of os.open* to instead use subprocess.Popen.  os.popen* are
+    deprecated in 2.6 and are removed in 3.0. - RMM
+
+2009-04-20
+    Worked on axes_grid documentation. Added axes_grid.inset_locator. - JJL
+
+2009-04-17
+    Initial check-in of the axes_grid toolkit. - JJL
+
+2009-04-17
+    Added a support for bbox_to_anchor in offsetbox.AnchoredOffsetbox. Improved
+    a documentation.  - JJL
+
+2009-04-16
+    Fixed a offsetbox bug that multiline texts are not correctly aligned.  -
+    JJL
+
+2009-04-16
+    Fixed a bug in mixed mode renderer that images produced by an rasterizing
+    backend are placed with incorrect size.  - JJL
+
+2009-04-14
+    Added Jonathan Taylor's Reinier Heeres' port of John Porters' mplot3d to
+    svn trunk.  Package in mpl_toolkits.mplot3d and demo is
+    examples/mplot3d/demo.py.  Thanks Reiner
+
+2009-04-06
+    The pdf backend now escapes newlines and linefeeds in strings.  Fixes sf
+    bug #2708559; thanks to Tiago Pereira for the report.
+
+2009-04-06
+    texmanager.make_dvi now raises an error if LaTeX failed to create an output
+    file. Thanks to Joao Luis Silva for reporting this. - JKS
+
+2009-04-05
+    _png.read_png() reads 12 bit PNGs (patch from Tobias Wood) - ADS
+
+2009-04-04
+    Allow log axis scale to clip non-positive values to small positive value;
+    this is useful for errorbars. - EF
+
+2009-03-28
+    Make images handle nan in their array argument.  A helper,
+    cbook.safe_masked_invalid() was added. - EF
+
+2009-03-25
+    Make contour and contourf handle nan in their Z argument. - EF
+
+2009-03-20
+    Add AuxTransformBox in offsetbox.py to support some transformation.
+    anchored_text.py example is enhanced and renamed (anchored_artists.py). -
+    JJL
+
+2009-03-20
+    Add "bar" connection style for annotation - JJL
+
+2009-03-17
+    Fix bugs in edge color handling by contourf, found by Jae-Joon Lee. - EF
+
+2009-03-14
+    Added 'LightSource' class to colors module for creating shaded relief maps.
+    shading_example.py added to illustrate usage. - JSW
+
+2009-03-11
+    Ensure wx version >= 2.8; thanks to Sandro Tosi and Chris Barker. - EF
+
+2009-03-10
+    Fix join style bug in pdf. - JKS
+
+2009-03-07
+    Add pyplot access to figure number list - EF
+
+2009-02-28
+    hashing of FontProperties accounts current rcParams - JJL
+
+2009-02-28
+    Prevent double-rendering of shared axis in twinx, twiny - EF
+
+2009-02-26
+    Add optional bbox_to_anchor argument for legend class - JJL
+
+2009-02-26
+    Support image clipping in pdf backend. - JKS
+
+2009-02-25
+    Improve tick location subset choice in FixedLocator. - EF
+
+2009-02-24
+    Deprecate numerix, and strip out all but the numpy part of the code. - EF
+
+2009-02-21
+    Improve scatter argument handling; add an early error message, allow inputs
+    to have more than one dimension. - EF
+
+2009-02-16
+    Move plot_directive.py to the installed source tree.  Add support for
+    inline code content - MGD
+
+2009-02-16
+    Move mathmpl.py to the installed source tree so it is available to other
+    projects. - MGD
+
+2009-02-14
+    Added the legend title support - JJL
+
+2009-02-10
+    Fixed a bug in backend_pdf so it doesn't break when the setting
+    pdf.use14corefonts=True is used. Added test case in
+    unit/test_pdf_use14corefonts.py. - NGR
+
+2009-02-08
+    Added a new imsave function to image.py and exposed it in the pyplot
+    interface - GR
+
+2009-02-04
+    Some reorganization of the legend code. anchored_text.py added as an
+    example. - JJL
+
+2009-02-04
+    Add extent keyword arg to hexbin - ADS
+
+2009-02-04
+    Fix bug in mathtext related to \dots and \ldots - MGD
+
+2009-02-03
+    Change default joinstyle to round - MGD
+
+2009-02-02
+    Reduce number of marker XObjects in pdf output - JKS
+
+2009-02-02
+    Change default resolution on polar plot to 1 - MGD
+
+2009-02-02
+    Avoid malloc errors in ttconv for fonts that don't have e.g., PostName (a
+    version of Tahoma triggered this) - JKS
+
+2009-01-30
+    Remove support for pyExcelerator in exceltools -- use xlwt instead - JDH
+
+2009-01-29
+    Document 'resolution' kwarg for polar plots.  Support it when using
+    pyplot.polar, not just Figure.add_axes. - MGD
+
+2009-01-29
+    Rework the nan-handling/clipping/quantizing/simplification framework so
+    each is an independent part of a pipeline.  Expose the C++-implementation
+    of all of this so it can be used from all Python backends.  Add rcParam
+    "path.simplify_threshold" to control the threshold of similarity below
+    which vertices will be removed.
+
+2009-01-26
+    Improved tight bbox option of the savefig. - JJL
+
+2009-01-26
+    Make curves and NaNs play nice together - MGD
+
+2009-01-21
+    Changed the defaults of acorr and xcorr to use usevlines=True, maxlags=10
+    and normed=True since these are the best defaults
+
+2009-01-19
+    Fix bug in quiver argument handling. - EF
+
+2009-01-19
+    Fix bug in backend_gtk: don't delete nonexistent toolbar. - EF
+
+2009-01-16
+    Implement bbox_inches option for savefig. If bbox_inches is "tight", try to
+    determine the tight bounding box. - JJL
+
+2009-01-16
+    Fix bug in is_string_like so it doesn't raise an unnecessary exception. -
+    EF
+
+2009-01-16
+    Fix an infinite recursion in the unit registry when searching for a
+    converter for a sequence of strings. Add a corresponding test. - RM
+
+2009-01-16
+    Bugfix of C typedef of MPL_Int64 that was failing on Windows XP 64 bit, as
+    reported by George Goussard on numpy mailing list. - ADS
+
+2009-01-16
+    Added helper function LinearSegmentedColormap.from_list to facilitate
+    building simple custom colomaps.  See
+    examples/pylab_examples/custom_cmap_fromlist.py - JDH
+
+2009-01-16
+    Applied Michiel's patch for macosx backend to fix rounding bug. Closed sf
+    bug 2508440 - JSW
+
+2009-01-10
+    Applied Michiel's hatch patch for macosx backend and draw_idle patch for
+    qt.  Closes sf patched 2497785 and 2468809 - JDH
+
+2009-01-10
+    Fix bug in pan/zoom with log coordinates. - EF
+
+2009-01-06
+    Fix bug in setting of dashed negative contours. - EF
+
+2009-01-06
+    Be fault tolerant when len(linestyles)>NLev in contour. - MM
+
+2009-01-06
+    Added marginals kwarg to hexbin to plot marginal densities JDH
+
+2009-01-06
+    Change user-visible multipage pdf object to PdfPages to avoid accidents
+    with the file-like PdfFile. - JKS
+
+2009-01-05
+    Fix a bug in pdf usetex: allow using non-embedded fonts. - JKS
+
+2009-01-05
+    optional use of preview.sty in usetex mode. - JJL
+
+2009-01-02
+    Allow multipage pdf files. - JKS
+
+2008-12-31
+    Improve pdf usetex by adding support for font effects (slanting and
+    extending). - JKS
+
+2008-12-29
+    Fix a bug in pdf usetex support, which occurred if the same Type-1 font was
+    used with different encodings, e.g., with Minion Pro and MnSymbol. - JKS
+
+2008-12-20
+    fix the dpi-dependent offset of Shadow. - JJL
+
+2008-12-20
+    fix the hatch bug in the pdf backend. minor update in docs and  example -
+    JJL
+
+2008-12-19
+    Add axes_locator attribute in Axes. Two examples are added.  - JJL
+
+2008-12-19
+    Update Axes.legend documentation. /api/api_changes.rst is also updated to
+    describe changes in keyword parameters.  Issue a warning if old keyword
+    parameters are used. - JJL
+
+2008-12-18
+    add new arrow style, a line + filled triangles. -JJL
+
+----------------
+
+2008-12-18
+    Re-Released 0.98.5.2 from v0_98_5_maint at r6679 Released 0.98.5.2 from
+    v0_98_5_maint at r6667
+
+2008-12-18
+    Removed configobj, experimental traits and doc/mpl_data link - JDH
+
+2008-12-18
+    Fix bug where a line with NULL data limits prevents subsequent data limits
+    from calculating correctly - MGD
+
+2008-12-17
+    Major documentation generator changes - MGD
+
+2008-12-17
+    Applied macosx backend patch with support for path collections, quadmesh,
+    etc... - JDH
+
+2008-12-17
+    fix dpi-dependent behavior of text bbox and arrow in annotate -JJL
+
+2008-12-17
+    Add group id support in artist. Two examples which demonstrate svg filter
+    are added. -JJL
+
+2008-12-16
+    Another attempt to fix dpi-dependent behavior of Legend. -JJL
+
+2008-12-16
+    Fixed dpi-dependent behavior of Legend and fancybox in Text.
+
+2008-12-16
+    Added markevery property to Line2D to support subsampling of markers - JDH
+
+2008-12-15
+    Removed mpl_data symlink in docs.  On platforms that do not support
+    symlinks, these become copies, and the font files are large, so the distro
+    becomes unnecessarily bloated.  Keeping the mpl_examples dir because
+    relative links are harder for the plot directive and the \*.py files are
+    not so large. - JDH
+
+2008-12-15
+    Fix \$ in non-math text with usetex off.  Document differences between
+    usetex on/off - MGD
+
+2008-12-15
+    Fix anti-aliasing when auto-snapping - MGD
+
+2008-12-15
+    Fix grid lines not moving correctly during pan and zoom - MGD
+
+2008-12-12
+    Preparations to eliminate maskedarray rcParams key: its use will now
+    generate a warning.  Similarly, importing the obsolete numerix.npyma will
+    generate a warning. - EF
+
+2008-12-12
+    Added support for the numpy.histogram() weights parameter to the axes
+    hist() method. Docs taken from numpy - MM
+
+2008-12-12
+    Fixed warning in hist() with numpy 1.2 - MM
+
+2008-12-12
+    Removed external packages: configobj and enthought.traits which are only
+    required by the experimental traited config and are somewhat out of date.
+    If needed, install them independently, see
+    http://code.enthought.com/pages/traits.html and
+    http://www.voidspace.org.uk/python/configobj.html
+
+2008-12-12
+    Added support to assign labels to histograms of multiple data. - MM
+
+-------------------------
+
+2008-12-11
+    Released 0.98.5 at svn r6573
+
+2008-12-11
+    Use subprocess.Popen instead of os.popen in dviread (Windows problem
+    reported by Jorgen Stenarson) - JKS
+
+2008-12-10
+    Added Michael's font_manager fix and Jae-Joon's figure/subplot fix.  Bumped
+    version number to 0.98.5 - JDH
+
+----------------------------
+
+2008-12-09
+    Released 0.98.4 at svn r6536
+
+2008-12-08
+    Added mdehoon's native macosx backend from sf patch 2179017 - JDH
+
+2008-12-08
+    Removed the prints in the set_*style commands.  Return the list of pprinted
+    strings instead - JDH
+
+2008-12-08
+    Some of the changes Michael made to improve the output of the property
+    tables in the rest docs broke of made difficult to use some of the
+    interactive doc helpers, e.g., setp and getp.  Having all the rest markup
+    in the ipython shell also confused the docstrings.  I added a new rc param
+    docstring.hardcopy, to format the docstrings differently for hard copy and
+    other use.  The ArtistInspector could use a little refactoring now since
+    there is duplication of effort between the rest out put and the non-rest
+    output - JDH
+
+2008-12-08
+    Updated spectral methods (psd, csd, etc.) to scale one-sided densities by a
+    factor of 2 and, optionally, scale all densities by the sampling frequency.
+    This gives better MatLab compatibility. -RM
+
+2008-12-08
+    Fixed alignment of ticks in colorbars. -MGD
+
+2008-12-07
+    drop the deprecated "new" keyword of np.histogram() for numpy 1.2 or later.
+    -JJL
+
+2008-12-06
+    Fixed a bug in svg backend that new_figure_manager() ignores keywords
+    arguments such as figsize, etc. -JJL
+
+2008-12-05
+    Fixed a bug that the handlelength of the new legend class set too short
+    when numpoints=1 -JJL
+
+2008-12-04
+    Added support for data with units (e.g., dates) to Axes.fill_between. -RM
+
+2008-12-04
+    Added fancybox keyword to legend. Also applied some changes for better
+    look, including baseline adjustment of the multiline texts so that it is
+    center aligned. -JJL
+
+2008-12-02
+    The transmuter classes in the patches.py are reorganized as subclasses of
+    the Style classes. A few more box and arrow styles are added. -JJL
+
+2008-12-02
+    Fixed a bug in the new legend class that didn't allowed a tuple of
+    coordinate values as loc. -JJL
+
+2008-12-02
+    Improve checks for external dependencies, using subprocess (instead of
+    deprecated popen*) and distutils (for version checking) - DSD
+
+2008-11-30
+    Reimplementation of the legend which supports baseline alignment,
+    multi-column, and expand mode. - JJL
+
+2008-12-01
+    Fixed histogram autoscaling bug when bins or range are given explicitly
+    (fixes Debian bug 503148) - MM
+
+2008-11-25
+    Added rcParam axes.unicode_minus which allows plain hyphen for minus when
+    False - JDH
+
+2008-11-25
+    Added scatterpoints support in Legend. patch by Erik Tollerud - JJL
+
+2008-11-24
+    Fix crash in log ticking. - MGD
+
+2008-11-20
+    Added static helper method BrokenHBarCollection.span_where and Axes/pyplot
+    method fill_between.  See examples/pylab/fill_between.py - JDH
+
+2008-11-12
+    Add x_isdata and y_isdata attributes to Artist instances, and use them to
+    determine whether either or both coordinates are used when updating
+    dataLim.  This is used to fix autoscaling problems that had been triggered
+    by axhline, axhspan, axvline, axvspan. - EF
+
+2008-11-11
+    Update the psd(), csd(), cohere(), and specgram() methods of Axes and the
+    csd() cohere(), and specgram() functions in mlab to be in sync with the
+    changes to psd().  In fact, under the hood, these all call the same core to
+    do computations. - RM
+
+2008-11-11
+    Add 'pad_to' and 'sides' parameters to mlab.psd() to allow controlling of
+    zero padding and returning of negative frequency components, respectively.
+    These are added in a way that does not change the API. - RM
+
+2008-11-10
+    Fix handling of c kwarg by scatter; generalize is_string_like to accept
+    numpy and numpy.ma string array scalars. - RM and EF
+
+2008-11-09
+    Fix a possible EINTR problem in dviread, which might help when saving pdf
+    files from the qt backend. - JKS
+
+2008-11-05
+    Fix bug with zoom to rectangle and twin axes - MGD
+
+2008-10-24
+    Added Jae Joon's fancy arrow, box and annotation enhancements -- see
+    examples/pylab_examples/annotation_demo2.py
+
+2008-10-23
+    Autoscaling is now supported with shared axes - EF
+
+2008-10-23
+    Fixed exception in dviread that happened with Minion - JKS
+
+2008-10-21
+    set_xlim, ylim now return a copy of the viewlim array to avoid modify
+    inplace surprises
+
+2008-10-20
+    Added image thumbnail generating function matplotlib.image.thumbnail.  See
+    examples/misc/image_thumbnail.py - JDH
+
+2008-10-20
+    Applied scatleg patch based on ideas and work by Erik Tollerud and Jae-Joon
+    Lee. - MM
+
+2008-10-11
+    Fixed bug in pdf backend: if you pass a file object for output instead of a
+    filename, e.g., in a wep app, we now flush the object at the end. - JKS
+
+2008-10-08
+    Add path simplification support to paths with gaps. - EF
+
+2008-10-05
+    Fix problem with AFM files that don't specify the font's full name or
+    family name. - JKS
+
+2008-10-04
+    Added 'scilimits' kwarg to Axes.ticklabel_format() method, for easy access
+    to the set_powerlimits method of the major ScalarFormatter. - EF
+
+2008-10-04
+    Experimental new kwarg borderpad to replace pad in legend, based on
+    suggestion by Jae-Joon Lee.  - EF
+
+2008-09-27
+    Allow spy to ignore zero values in sparse arrays, based on patch by Tony
+    Yu.  Also fixed plot to handle empty data arrays, and fixed handling of
+    markers in figlegend. - EF
+
+2008-09-24
+    Introduce drawstyles for lines. Transparently split linestyles like
+    'steps--' into drawstyle 'steps' and linestyle '--'.  Legends always use
+    drawstyle 'default'. - MM
+
+2008-09-18
+    Fixed quiver and quiverkey bugs (failure to scale properly when resizing)
+    and added additional methods for determining the arrow angles - EF
+
+2008-09-18
+    Fix polar interpolation to handle negative values of theta - MGD
+
+2008-09-14
+    Reorganized cbook and mlab methods related to numerical calculations that
+    have little to do with the goals of those two modules into a separate
+    module numerical_methods.py Also, added ability to select points and stop
+    point selection with keyboard in ginput and manual contour labeling code.
+    Finally, fixed contour labeling bug. - DMK
+
+2008-09-11
+    Fix backtick in Postscript output. - MGD
+
+2008-09-10
+    [ 2089958 ] Path simplification for vector output backends Leverage the
+    simplification code exposed through path_to_polygons to simplify certain
+    well-behaved paths in the vector backends (PDF, PS and SVG).
+    "path.simplify" must be set to True in matplotlibrc for this to work.
+    - MGD
+
+2008-09-10
+    Add "filled" kwarg to Path.intersects_path and Path.intersects_bbox. - MGD
+
+2008-09-07
+    Changed full arrows slightly to avoid an xpdf rendering problem reported by
+    Friedrich Hagedorn. - JKS
+
+2008-09-07
+    Fix conversion of quadratic to cubic Bezier curves in PDF and PS backends.
+    Patch by Jae-Joon Lee. - JKS
+
+2008-09-06
+    Added 5-point star marker to plot command - EF
+
+2008-09-05
+    Fix hatching in PS backend - MGD
+
+2008-09-03
+    Fix log with base 2 - MGD
+
+2008-09-01
+    Added support for bilinear interpolation in NonUniformImage; patch by
+    Gregory Lielens. - EF
+
+2008-08-28
+    Added support for multiple histograms with data of different length - MM
+
+2008-08-28
+    Fix step plots with log scale - MGD
+
+2008-08-28
+    Fix masked arrays with markers in non-Agg backends - MGD
+
+2008-08-28
+    Fix clip_on kwarg so it actually works correctly - MGD
+
+2008-08-25
+    Fix locale problems in SVG backend - MGD
+
+2008-08-22
+    fix quiver so masked values are not plotted - JSW
+
+2008-08-18
+    improve interactive pan/zoom in qt4 backend on windows - DSD
+
+2008-08-11
+    Fix more bugs in NaN/inf handling.  In particular, path simplification
+    (which does not handle NaNs or infs) will be turned off automatically when
+    infs or NaNs are present.  Also masked arrays are now converted to arrays
+    with NaNs for consistent handling of masks and NaNs - MGD and EF
+
+------------------------
+
+2008-08-03
+    Released 0.98.3 at svn r5947
+
+2008-08-01
+    Backported memory leak fixes in _ttconv.cpp - MGD
+
+2008-07-31
+    Added masked array support to griddata. - JSW
+
+2008-07-26
+    Added optional C and reduce_C_function arguments to axes.hexbin().  This
+    allows hexbin to accumulate the values of C based on the x,y coordinates
+    and display in hexagonal bins. - ADS
+
+2008-07-24
+    Deprecated (raise NotImplementedError) all the mlab2 functions from
+    matplotlib.mlab out of concern that some of them were not clean room
+    implementations. JDH
+
+2008-07-24
+    Rewrite of a significant portion of the clabel code (class ContourLabeler)
+    to improve inlining. - DMK
+
+2008-07-22
+    Added Barbs polygon collection (similar to Quiver) for plotting wind barbs.
+    Added corresponding helpers to Axes and pyplot as well.
+    (examples/pylab_examples/barb_demo.py shows it off.) - RMM
+
+2008-07-21
+    Added scikits.delaunay as matplotlib.delaunay.  Added griddata function in
+    matplotlib.mlab, with example (griddata_demo.py) in pylab_examples.
+    griddata function will use mpl_toolkits._natgrid if installed.  - JSW
+
+2008-07-21
+    Re-introduced offset_copy that works in the context of the new transforms.
+    - MGD
+
+2008-07-21
+    Committed patch by Ryan May to add get_offsets and set_offsets to
+    Collections base class - EF
+
+2008-07-21
+    Changed the "asarray" strategy in image.py so that colormapping of masked
+    input should work for all image types (thanks Klaus Zimmerman) - EF
+
+2008-07-20
+    Rewrote cbook.delete_masked_points and corresponding unit test to support
+    rgb color array inputs, datetime inputs, etc. - EF
+
+2008-07-20
+    Renamed unit/axes_unit.py to cbook_unit.py and modified in accord with
+    Ryan's move of delete_masked_points from axes to cbook. - EF
+
+2008-07-18
+    Check for nan and inf in axes.delete_masked_points().  This should help
+    hexbin and scatter deal with nans. - ADS
+
+2008-07-17
+    Added ability to manually select contour label locations.  Also added a
+    waitforbuttonpress function. - DMK
+
+2008-07-17
+    Fix bug with NaNs at end of path (thanks, Andrew Straw for the report) -
+    MGD
+
+2008-07-16
+    Improve error handling in texmanager, thanks to Ian Henry for reporting -
+    DSD
+
+2008-07-12
+    Added support for external backends with the "module://my_backend" syntax -
+    JDH
+
+2008-07-11
+    Fix memory leak related to shared axes.  Grouper should store weak
+    references. - MGD
+
+2008-07-10
+    Bugfix: crash displaying fontconfig pattern - MGD
+
+2008-07-10
+    Bugfix: [ 2013963 ] update_datalim_bounds in Axes not works - MGD
+
+2008-07-10
+    Bugfix: [ 2014183 ] multiple imshow() causes gray edges - MGD
+
+2008-07-09
+    Fix rectangular axes patch on polar plots bug - MGD
+
+2008-07-09
+    Improve mathtext radical rendering - MGD
+
+2008-07-08
+    Improve mathtext superscript placement - MGD
+
+2008-07-07
+    Fix custom scales in pcolormesh (thanks Matthew Turk) - MGD
+
+2008-07-03
+    Implemented findobj method for artist and pyplot - see
+    examples/pylab_examples/findobj_demo.py - JDH
+
+2008-06-30
+    Another attempt to fix TextWithDash - DSD
+
+2008-06-30
+    Removed Qt4 NavigationToolbar2.destroy -- it appears to have been
+    unnecessary and caused a bug reported by P.  Raybaut - DSD
+
+2008-06-27
+    Fixed tick positioning bug - MM
+
+2008-06-27
+    Fix dashed text bug where text was at the wrong end of the dash - MGD
+
+2008-06-26
+    Fix mathtext bug for expressions like $x_{\leftarrow}$ - MGD
+
+2008-06-26
+    Fix direction of horizontal/vertical hatches - MGD
+
+2008-06-25
+    Figure.figurePatch renamed Figure.patch, Axes.axesPatch renamed Axes.patch,
+    Axes.axesFrame renamed Axes.frame, Axes.get_frame, which returns
+    Axes.patch, is deprecated.  Examples and users guide updated - JDH
+
+2008-06-25
+    Fix rendering quality of pcolor - MGD
+
+----------------------------
+
+2008-06-24
+    Released 0.98.2 at svn r5667 - (source only for debian) JDH
+
+2008-06-24
+    Added "transparent" kwarg to savefig. - MGD
+
+2008-06-24
+    Applied Stefan's patch to draw a single centered marker over a line with
+    numpoints==1 - JDH
+
+2008-06-23
+    Use splines to render circles in scatter plots - MGD
+
+----------------------------
+
+2008-06-22
+    Released 0.98.1 at revision 5637
+
+2008-06-22
+    Removed axes3d support and replaced it with a NotImplementedError for one
+    release cycle
+
+2008-06-21
+    fix marker placement bug in backend_ps - DSD
+
+2008-06-20
+    [ 1978629 ] scale documentation missing/incorrect for log - MGD
+
+2008-06-20
+    Added closed kwarg to PolyCollection.  Fixes bug [ 1994535 ] still missing
+    lines on graph with svn (r 5548). - MGD
+
+2008-06-20
+    Added set/get_closed method to Polygon; fixes error in hist - MM
+
+2008-06-19
+    Use relative font sizes (e.g., 'medium' and 'large') in rcsetup.py and
+    matplotlibrc.template so that text will be scaled by default when changing
+    rcParams['font.size'] - EF
+
+2008-06-17
+    Add a generic PatchCollection class that can contain any kind of patch. -
+    MGD
+
+2008-06-13
+    Change pie chart label alignment to avoid having labels overwrite the pie -
+    MGD
+
+2008-06-12
+    Added some helper functions to the mathtext parser to return bitmap arrays
+    or write pngs to make it easier to use mathtext outside the context of an
+    mpl figure.  modified the mathpng sphinxext to use the mathtext png save
+    functionality - see examples/api/mathtext_asarray.py - JDH
+
+2008-06-11
+    Use matplotlib.mathtext to render math expressions in online docs - MGD
+
+2008-06-11
+    Move PNG loading/saving to its own extension module, and remove duplicate
+    code in _backend_agg.cpp and _image.cpp that does the same thing - MGD
+
+2008-06-11
+    Numerous mathtext bugfixes, primarily related to dpi-independence - MGD
+
+2008-06-10
+    Bar now applies the label only to the first patch only, and sets
+    '_nolegend_' for the other patch labels.  This lets autolegend work as
+    expected for hist and bar - see
+    \https://sourceforge.net/tracker/index.php?func=detail&aid=1986597&group_id=80706&atid=560720
+    JDH
+
+2008-06-10
+    Fix text baseline alignment bug.  [ 1985420 ] Repair of baseline alignment
+    in Text._get_layout.  Thanks Stan West - MGD
+
+2008-06-09
+    Committed Gregor's image resample patch to downsampling images with new
+    rcparam image.resample - JDH
+
+2008-06-09
+    Don't install Enthought.Traits along with matplotlib. For matplotlib
+    developers convenience, it can still be installed by setting an option in
+    setup.cfg while we figure decide if there is a future for the traited
+    config - DSD
+
+2008-06-09
+    Added range keyword arg to hist() - MM
+
+2008-06-07
+    Moved list of backends to rcsetup.py; made use of lower case for backend
+    names consistent; use validate_backend when importing backends subpackage -
+    EF
+
+2008-06-06
+    hist() revision, applied ideas proposed by Erik Tollerud and Olle
+    Engdegard: make histtype='step' unfilled by default and introduce
+    histtype='stepfilled'; use default color cycle; introduce reverse
+    cumulative histogram; new align keyword - MM
+
+2008-06-06
+    Fix closed polygon patch and also provide the option to not close the
+    polygon - MGD
+
+2008-06-05
+    Fix some dpi-changing-related problems with PolyCollection, as called by
+    Axes.scatter() - MGD
+
+2008-06-05
+    Fix image drawing so there is no extra space to the right or bottom - MGD
+
+2006-06-04
+    Added a figure title command suptitle as a Figure method and pyplot command
+    -- see examples/figure_title.py - JDH
+
+2008-06-02
+    Added support for log to hist with histtype='step' and fixed a bug for
+    log-scale stacked histograms - MM
+
+-----------------------------
+
+2008-05-29
+    Released 0.98.0 at revision 5314
+
+2008-05-29
+    matplotlib.image.imread now no longer always returns RGBA -- if the image
+    is luminance or RGB, it will return a MxN or MxNx3 array if possible.  Also
+    uint8 is no longer always forced to float.
+
+2008-05-29
+    Implement path clipping in PS backend - JDH
+
+2008-05-29
+    Fixed two bugs in texmanager.py: improved comparison of dvipng versions
+    fixed a bug introduced when get_grey method was added - DSD
+
+2008-05-28
+    Fix crashing of PDFs in xpdf and ghostscript when two-byte characters are
+    used with Type 3 fonts - MGD
+
+2008-05-28
+    Allow keyword args to configure widget properties as requested in
+    \http://sourceforge.net/tracker/index.php?func=detail&aid=1866207&group_id=80706&atid=560722
+    - JDH
+
+2008-05-28
+    Replaced '-' with u'\\u2212' for minus sign as requested in
+    \http://sourceforge.net/tracker/index.php?func=detail&aid=1962574&group_id=80706&atid=560720
+
+2008-05-28
+    zero width/height Rectangles no longer influence the autoscaler.  Useful
+    for log histograms with empty bins - JDH
+
+2008-05-28
+    Fix rendering of composite glyphs in Type 3 conversion (particularly as
+    evidenced in the Eunjin.ttf Korean font) Thanks Jae-Joon Lee for finding
+    this!
+
+2008-05-27
+    Rewrote the cm.ScalarMappable callback infrastructure to use
+    cbook.CallbackRegistry rather than custom callback handling.  Any users of
+    add_observer/notify of the cm.ScalarMappable should use the
+    cm.ScalarMappable.callbacksSM CallbackRegistry instead. JDH
+
+2008-05-27
+    Fix TkAgg build on Ubuntu 8.04 (and hopefully a more general solution for
+    other platforms, too.)
+
+2008-05-24
+    Added PIL support for loading images to imread (if PIL is available) - JDH
+
+2008-05-23
+    Provided a function and a method for controlling the plot color cycle. - EF
+
+2008-05-23
+    Major revision of hist(). Can handle 2D arrays and create stacked histogram
+    plots; keyword 'width' deprecated and rwidth (relative width) introduced;
+    align='edge' changed to center of bin - MM
+
+2008-05-22
+    Added support for ReST-based documentation using Sphinx.  Documents are
+    located in doc/, and are broken up into a users guide and an API reference.
+    To build, run the make.py files. Sphinx-0.4 is needed to build generate
+    xml, which will be useful for rendering equations with mathml, use sphinx
+    from svn until 0.4 is released - DSD
+
+2008-05-21
+    Fix segfault in TkAgg backend - MGD
+
+2008-05-21
+    Fix a "local variable unreferenced" bug in plotfile - MM
+
+2008-05-19
+    Fix crash when Windows cannot access the registry to determine font path
+    [Bug 1966974, thanks Patrik Simons] - MGD
+
+2008-05-16
+    removed some unneeded code w/ the python 2.4 requirement.  cbook no longer
+    provides compatibility for reversed, enumerate, set or izip.  removed
+    lib/subprocess, mpl1, sandbox/units, and the swig code.  This stuff should
+    remain on the maintenance branch for archival purposes. JDH
+
+2008-05-16
+    Reorganized examples dir - JDH
+
+2008-05-16
+    Added 'elinewidth' keyword arg to errorbar, based on patch by Christopher
+    Brown - MM
+
+2008-05-16
+    Added 'cumulative' keyword arg to hist to plot cumulative histograms. For
+    normed hists, this is normalized to one - MM
+
+2008-05-15
+    Fix Tk backend segfault on some machines - MGD
+
+2008-05-14
+    Don't use stat on Windows (fixes font embedding problem) - MGD
+
+2008-05-09
+    Fix /singlequote (') in Postscript backend - MGD
+
+2008-05-08
+    Fix kerning in SVG when embedding character outlines - MGD
+
+2008-05-07
+    Switched to future numpy histogram semantic in hist - MM
+
+2008-05-06
+    Fix strange colors when blitting in QtAgg and Qt4Agg - MGD
+
+2008-05-05
+    pass notify_axes_change to the figure's add_axobserver in the qt backends,
+    like we do for the other backends.  Thanks Glenn Jones for the report - DSD
+
+2008-05-02
+    Added step histograms, based on patch by Erik Tollerud. - MM
+
+2008-05-02
+    On PyQt <= 3.14 there is no way to determine the underlying Qt version.
+    [1851364] - MGD
+
+2008-05-02
+    Don't call sys.exit() when pyemf is not found [1924199] - MGD
+
+2008-05-02
+    Update _subprocess.c from upstream Python 2.5.2 to get a few memory and
+    reference-counting-related bugfixes.  See bug 1949978. - MGD
+
+2008-04-30
+    Added some record array editing widgets for gtk -- see
+    examples/rec_edit*.py - JDH
+
+2008-04-29
+    Fix bug in mlab.sqrtm - MM
+
+2008-04-28
+    Fix bug in SVG text with Mozilla-based viewers (the symbol tag is not
+    supported) - MGD
+
+2008-04-27
+    Applied patch by Michiel de Hoon to add hexbin axes method and pyplot
+    function - EF
+
+2008-04-25
+    Enforce python >= 2.4; remove subprocess build - EF
+
+2008-04-25
+    Enforce the numpy requirement at build time - JDH
+
+2008-04-24
+    Make numpy 1.1 and python 2.3 required when importing matplotlib - EF
+
+2008-04-24
+    Fix compilation issues on VS2003 (Thanks Martin Spacek for all the help) -
+    MGD
+
+2008-04-24
+    Fix sub/superscripts when the size of the font has been changed - MGD
+
+2008-04-22
+    Use "svg.embed_char_paths" consistently everywhere - MGD
+
+2008-04-20
+    Add support to MaxNLocator for symmetric axis autoscaling. - EF
+
+2008-04-20
+    Fix double-zoom bug. - MM
+
+2008-04-15
+    Speed up colormapping. - EF
+
+2008-04-12
+    Speed up zooming and panning of dense images. - EF
+
+2008-04-11
+    Fix global font rcParam setting after initialization time. - MGD
+
+2008-04-11
+    Revert commits 5002 and 5031, which were intended to avoid an unnecessary
+    call to draw(). 5002 broke saving figures before show(). 5031 fixed the
+    problem created in 5002, but broke interactive plotting. Unnecessary call
+    to draw still needs resolution - DSD
+
+2008-04-07
+    Improve color validation in rc handling, suggested by Lev Givon - EF
+
+2008-04-02
+    Allow to use both linestyle definition arguments, '-' and 'solid' etc. in
+    plots/collections - MM
+
+2008-03-27
+    Fix saving to Unicode filenames with Agg backend (other backends appear to
+    already work...) (Thanks, Christopher Barker) - MGD
+
+2008-03-26
+    Fix SVG backend bug that prevents copying and pasting in Inkscape (thanks
+    Kaushik Ghose) - MGD
+
+2008-03-24
+    Removed an unnecessary call to draw() in the backend_qt* mouseReleaseEvent.
+    Thanks to Ted Drain - DSD
+
+2008-03-23
+    Fix a pdf backend bug which sometimes caused the outermost gsave to not be
+    balanced with a grestore. - JKS
+
+2008-03-20
+    Fixed a minor bug in ContourSet._process_linestyles when
+    len(linestyles)==Nlev - MM
+
+2008-03-19
+    Changed ma import statements to "from numpy import ma"; this should work
+    with past and future versions of numpy, whereas "import numpy.ma as ma"
+    will work only with numpy >= 1.05, and "import numerix.npyma as ma" is
+    obsolete now that maskedarray is replacing the earlier implementation, as
+    of numpy 1.05.
+
+2008-03-14
+    Removed an apparently unnecessary call to FigureCanvasAgg.draw in
+    backend_qt*agg. Thanks to Ted Drain - DSD
+
+2008-03-10
+    Workaround a bug in backend_qt4agg's blitting due to a buffer width/bbox
+    width mismatch in _backend_agg's copy_from_bbox - DSD
+
+2008-02-29
+    Fix class Wx toolbar pan and zoom functions (Thanks Jeff Peery) - MGD
+
+2008-02-16
+    Added some new rec array functionality to mlab (rec_summarize, rec2txt and
+    rec_groupby).  See examples/rec_groupby_demo.py.  Thanks to Tim M for
+    rec2txt.
+
+2008-02-12
+    Applied Erik Tollerud's span selector patch - JDH
+
+2008-02-11
+    Update plotting() doc string to refer to getp/setp. - JKS
+
+2008-02-10
+    Fixed a problem with square roots in the pdf backend with usetex. - JKS
+
+2008-02-08
+    Fixed minor __str__ bugs so getp(gca()) works. - JKS
+
+2008-02-05
+    Added getters for title, xlabel, ylabel, as requested by Brandon Kieth - EF
+
+2008-02-05
+    Applied Gael's ginput patch and created examples/ginput_demo.py - JDH
+
+2008-02-03
+    Expose interpnames, a list of valid interpolation methods, as an AxesImage
+    class attribute. - EF
+
+2008-02-03
+    Added BoundaryNorm, with examples in colorbar_only.py and image_masked.py.
+    - EF
+
+2008-02-03
+    Force dpi=72 in pdf backend to fix picture size bug. - JKS
+
+2008-02-01
+    Fix doubly-included font problem in Postscript backend - MGD
+
+2008-02-01
+    Fix reference leak in ft2font Glyph objects. - MGD
+
+2008-01-31
+    Don't use unicode strings with usetex by default - DSD
+
+2008-01-31
+    Fix text spacing problems in PDF backend with *some* fonts, such as
+    STIXGeneral.
+
+2008-01-31
+    Fix \sqrt with radical number (broken by making [ and ] work below) - MGD
+
+2008-01-27
+    Applied  Martin Teichmann's patch to improve the Qt4 backend. Uses Qt's
+    builtin toolbars and statusbars.  See bug 1828848 - DSD
+
+2008-01-10
+    Moved toolkits to mpl_toolkits, made mpl_toolkits a namespace package -
+    JSWHIT
+
+2008-01-10
+    Use setup.cfg to set the default parameters (tkagg, numpy) when building
+    windows installers - DSD
+
+2008-01-10
+    Fix bug displaying [ and ] in mathtext - MGD
+
+2008-01-10
+    Fix bug when displaying a tick value offset with scientific notation.
+    (Manifests itself as a warning that the \times symbol cannot be found). -
+    MGD
+
+2008-01-10
+    Use setup.cfg to set the default parameters (tkagg, numpy) when building
+    windows installers - DSD
+
+--------------------
+
+2008-01-06
+    Released 0.91.2 at revision 4802
+
+2007-12-26
+    Reduce too-late use of matplotlib.use() to a warning instead of an
+    exception, for backwards compatibility - EF
+
+2007-12-25
+    Fix bug in errorbar, identified by Noriko Minakawa - EF
+
+2007-12-25
+    Changed masked array importing to work with the upcoming numpy 1.05 (now
+    the maskedarray branch) as well as with earlier versions. - EF
+
+2007-12-16
+    rec2csv saves doubles without losing precision. Also, it does not close
+    filehandles passed in open. - JDH,ADS
+
+2007-12-13
+    Moved rec2gtk to matplotlib.toolkits.gtktools and rec2excel to
+    matplotlib.toolkits.exceltools - JDH
+
+2007-12-12
+    Support alpha-blended text in the Agg and Svg backends - MGD
+
+2007-12-10
+    Fix SVG text rendering bug. - MGD
+
+2007-12-10
+    Increase accuracy of circle and ellipse drawing by using an 8-piece bezier
+    approximation, rather than a 4-piece one.  Fix PDF, SVG and Cairo backends
+    so they can draw paths (meaning ellipses as well). - MGD
+
+2007-12-07
+    Issue a warning when drawing an image on a non-linear axis. - MGD
+
+2007-12-06
+    let widgets.Cursor initialize to the lower x and y bounds rather than 0,0,
+    which can cause havoc for dates and other transforms - DSD
+
+2007-12-06
+    updated references to mpl data directories for py2exe - DSD
+
+2007-12-06
+    fixed a bug in rcsetup, see bug 1845057 - DSD
+
+2007-12-05
+    Fix how fonts are cached to avoid loading the same one multiple times.
+    (This was a regression since 0.90 caused by the refactoring of
+    font_manager.py) - MGD
+
+2007-12-05
+    Support arbitrary rotation of usetex text in Agg backend. - MGD
+
+2007-12-04
+    Support '|' as a character in mathtext - MGD
+
+-----------------------------------------------------
+
+2007-11-27
+    Released 0.91.1 at revision 4517
+
+-----------------------------------------------------
+
+2007-11-27
+    Released 0.91.0 at revision 4478
+
+2007-11-13
+    All backends now support writing to a file-like object, not just a regular
+    file.  savefig() can be passed a file-like object in place of a file path.
+    - MGD
+
+2007-11-13
+    Improved the default backend selection at build time: SVG -> Agg -> TkAgg
+    -> WXAgg -> GTK -> GTKAgg. The last usable backend in this progression will
+    be chosen in the default config file. If a backend is defined in setup.cfg,
+    that will be the default backend - DSD
+
+2007-11-13
+    Improved creation of default config files at build time for traited config
+    package - DSD
+
+2007-11-12
+    Exposed all the build options in setup.cfg. These options are read into a
+    dict called "options" by setupext.py. Also, added "-mpl" tags to the
+    version strings for packages provided by matplotlib. Versions provided by
+    mpl will be identified and updated on subsequent installs - DSD
+
+2007-11-12
+    Added support for STIX fonts.  A new rcParam, mathtext.fontset, can be used
+    to choose between:
+
+    'cm'
+        The TeX/LaTeX Computer Modern fonts
+    'stix'
+        The STIX fonts (see stixfonts.org)
+    'stixsans'
+        The STIX fonts, using sans-serif glyphs by default
+    'custom'
+        A generic Unicode font, in which case the mathtext font must be
+        specified using mathtext.bf, mathtext.it, mathtext.sf etc.
+
+    Added a new example, stix_fonts_demo.py to show how to access different
+    fonts and unusual symbols.  - MGD
+
+2007-11-12
+    Options to disable building backend extension modules moved from setup.py
+    to setup.cfg - DSD
+
+2007-11-09
+    Applied Martin Teichmann's patch 1828813: a QPainter is used in paintEvent,
+    which has to be destroyed using  the method end(). If matplotlib raises an
+    exception before the call to end - and it does if you feed it with bad data
+    - this method end() is never called and Qt4 will start spitting error
+    messages
+
+2007-11-09
+    Moved pyparsing back into matplotlib namespace. Don't use system pyparsing,
+    API is too variable from one release to the next - DSD
+
+2007-11-08
+    Made pylab use straight numpy instead of oldnumeric by default - EF
+
+2007-11-08
+    Added additional record array utilities to mlab (rec2excel, rec2gtk,
+    rec_join, rec_append_field, rec_drop_field) - JDH
+
+2007-11-08
+    Updated pytz to version 2007g - DSD
+
+2007-11-08
+    Updated pyparsing to version 1.4.8 - DSD
+
+2007-11-08
+    Moved csv2rec to recutils and added other record array utilities - JDH
+
+2007-11-08
+    If available, use existing pyparsing installation - DSD
+
+2007-11-07
+    Removed old enthought.traits from lib/matplotlib, added Gael Varoquaux's
+    enthought.traits-2.6b1, which is stripped of setuptools. The package is
+    installed to site-packages if not already available - DSD
+
+2007-11-05
+    Added easy access to minor tick properties; slight mod of patch by Pierre
+    G-M - EF
+
+2007-11-02
+    Committed Phil Thompson's patch 1599876, fixes to Qt4Agg backend and qt4
+    blitting demo - DSD
+
+2007-11-02
+    Committed Phil Thompson's patch 1599876, fixes to Qt4Agg backend and qt4
+    blitting demo - DSD
+
+2007-10-31
+    Made log color scale easier to use with contourf; automatic level
+    generation now works. - EF
+
+2007-10-29
+    TRANSFORMS REFACTORING
+
+    The primary goal of this refactoring was to make it easier to extend
+    matplotlib to support new kinds of projections.  This is primarily an
+    internal improvement, and the possible user-visible changes it allows are
+    yet to come.
+
+    The transformation framework was completely rewritten in Python (with
+    Numpy).  This will make it easier to add news kinds of transformations
+    without writing C/C++ code.
+
+    Transforms are composed into a 'transform tree', made of transforms whose
+    value depends on other transforms (their children).  When the contents of
+    children change, their parents are automatically updated to reflect those
+    changes.  To do this an "invalidation" method is used: when children
+    change, all of their ancestors are marked as "invalid".  When the value of
+    a transform is accessed at a later time, its value is recomputed only if it
+    is invalid, otherwise a cached value may be used.  This prevents
+    unnecessary recomputations of transforms, and contributes to better
+    interactive performance.
+
+    The framework can be used for both affine and non-affine transformations.
+    However, for speed, we want use the backend renderers to perform affine
+    transformations whenever possible.  Therefore, it is possible to perform
+    just the affine or non-affine part of a transformation on a set of data.
+    The affine is always assumed to occur after the non-affine.  For any
+    transform::
+
+        full transform == non-affine + affine
+
+    Much of the drawing has been refactored in terms of compound paths.
+    Therefore, many methods have been removed from the backend interface and
+    replaced with a handful to draw compound paths.  This will make updating
+    the backends easier, since there is less to update.  It also should make
+    the backends more consistent in terms of functionality.
+
+    User visible changes:
+
+    - POLAR PLOTS: Polar plots are now interactively zoomable, and the r-axis
+      labels can be interactively rotated.  Straight line segments are now
+      interpolated to follow the curve of the r-axis.
+
+    - Non-rectangular clipping works in more backends and with more types of
+      objects.
+
+    - Sharing an axis across figures is now done in exactly the same way as
+      sharing an axis between two axes in the same figure::
+
+        fig1 = figure()
+        fig2 = figure()
+
+        ax1 = fig1.add_subplot(111)
+        ax2 = fig2.add_subplot(111, sharex=ax1, sharey=ax1)
+
+    - linestyles now include steps-pre, steps-post and steps-mid.  The old step
+      still works and is equivalent to step-pre.
+
+    - Multiple line styles may be provided to a collection.
+
+    See API_CHANGES for more low-level information about this refactoring.
+
+2007-10-24
+    Added ax kwarg to Figure.colorbar and pyplot.colorbar - EF
+
+2007-10-19
+    Removed a gsave/grestore pair surrounding _draw_ps, which was causing a
+    loss graphics state info (see "EPS output problem - scatter & edgecolors"
+    on mpl-dev, 2007-10-29) - DSD
+
+2007-10-15
+    Fixed a bug in patches.Ellipse that was broken for aspect='auto'.  Scale
+    free ellipses now work properly for equal and auto on Agg and PS, and they
+    fall back on a polygonal approximation for nonlinear transformations until
+    we convince ourselves that the spline approximation holds for nonlinear
+    transformations. Added unit/ellipse_compare.py to compare spline with
+    vertex approx for both aspects. JDH
+
+2007-10-05
+    remove generator expressions from texmanager and mpltraits.  generator
+    expressions are not supported by python-2.3 - DSD
+
+2007-10-01
+    Made matplotlib.use() raise an exception if called after backends has been
+    imported. - EF
+
+2007-09-30
+    Modified update* methods of Bbox and Interval so they work with reversed
+    axes.  Prior to this, trying to set the ticks on a reversed axis failed
+    with an uninformative error message. - EF
+
+2007-09-30
+    Applied patches to axes3d to fix index error problem - EF
+
+2007-09-24
+    Applied Eike Welk's patch reported on mpl-dev on 2007-09-22 Fixes a bug
+    with multiple plot windows in the qt backend, ported the changes to
+    backend_qt4 as well - DSD
+
+2007-09-21
+    Changed cbook.reversed to yield the same result as the python reversed
+    builtin - DSD
+
+2007-09-13
+    The usetex support in the pdf backend is more usable now, so I am enabling
+    it. - JKS
+
+2007-09-12
+    Fixed a Axes.bar unit bug - JDH
+
+2007-09-10
+    Made skiprows=1 the default on csv2rec - JDH
+
+2007-09-09
+    Split out the plotting part of pylab and put it in pyplot.py; removed
+    numerix from the remaining pylab.py, which imports everything from
+    pyplot.py.  The intention is that apart from cleanups, the result of
+    importing from pylab is nearly unchanged, but there is the new alternative
+    of importing from pyplot to get the state-engine graphics without all the
+    numeric functions.  Numpified examples; deleted two that were obsolete;
+    modified some to use pyplot. - EF
+
+2007-09-08
+    Eliminated gd and paint backends - EF
+
+2007-09-06
+    .bmp file format is now longer an alias for .raw
+
+2007-09-07
+    Added clip path support to pdf backend. - JKS
+
+2007-09-06
+    Fixed a bug in the embedding of Type 1 fonts in PDF.  Now it doesn't crash
+    Preview.app. - JKS
+
+2007-09-06
+    Refactored image saving code so that all GUI backends can save most image
+    types.  See FILETYPES for a matrix of backends and their supported file
+    types.  Backend canvases should no longer write their own print_figure()
+    method -- instead they should write a print_xxx method for each filetype
+    they can output and add an entry to their class-scoped filetypes
+    dictionary. - MGD
+
+2007-09-05
+    Fixed Qt version reporting in setupext.py - DSD
+
+2007-09-04
+    Embedding Type 1 fonts in PDF, and thus usetex support via dviread, sort of
+    works. To test, enable it by renaming _draw_tex to draw_tex. - JKS
+
+2007-09-03
+    Added ability of errorbar show limits via caret or arrowhead ends on the
+    bars; patch by Manual Metz. - EF
+
+2007-09-03
+    Created type1font.py, added features to AFM and FT2Font (see API_CHANGES),
+    started work on embedding Type 1 fonts in pdf files. - JKS
+
+2007-09-02
+    Continued work on dviread.py. - JKS
+
+2007-08-16
+    Added a set_extent method to AxesImage, allow data extent to be modified
+    after initial call to imshow - DSD
+
+2007-08-14
+    Fixed a bug in pyqt4 subplots-adjust. Thanks to Xavier Gnata for the report
+    and suggested fix - DSD
+
+2007-08-13
+    Use pickle to cache entire fontManager; change to using font_manager
+    module-level function findfont wrapper for the fontManager.findfont method
+    - EF
+
+2007-08-11
+    Numpification and cleanup of mlab.py and some examples - EF
+
+2007-08-06
+    Removed mathtext2
+
+2007-07-31
+    Refactoring of distutils scripts.
+
+    - Will not fail on the entire build if an optional Python package (e.g.,
+      Tkinter) is installed but its development headers are not (e.g.,
+      tk-devel).  Instead, it will continue to build all other extensions.
+    - Provide an overview at the top of the output to display what dependencies
+      and their versions were found, and (by extension) what will be built.
+    - Use pkg-config, when available, to find freetype2, since this was broken
+      on Mac OS-X when using MacPorts in a non- standard location.
+
+2007-07-30
+    Reorganized configuration code to work with traited config objects. The new
+    config system is located in the matplotlib.config package, but it is
+    disabled by default.  To enable it, set NEWCONFIG=True in
+    matplotlib.__init__.py.  The new configuration system will still use the
+    old matplotlibrc files by default. To switch to the experimental, traited
+    configuration, set USE_TRAITED_CONFIG=True in config.__init__.py.
+
+2007-07-29
+    Changed default pcolor shading to flat; added aliases to make collection
+    kwargs agree with setter names, so updating works; related minor cleanups.
+    Removed quiver_classic, scatter_classic, pcolor_classic. - EF
+
+2007-07-26
+    Major rewrite of mathtext.py, using the TeX box layout model.
+
+    There is one (known) backward incompatible change.  The font commands
+    (\cal, \rm, \it, \tt) now behave as TeX does: they are in effect until the
+    next font change command or the end of the grouping.  Therefore uses of
+    $\cal{R}$ should be changed to ${\cal R}$.  Alternatively, you may use the
+    new LaTeX-style font commands (\mathcal, \mathrm, \mathit, \mathtt) which
+    do affect the following group, e.g., $\mathcal{R}$.
+
+    Other new features include:
+
+    - Math may be interspersed with non-math text.  Any text with an even
+      number of $'s (non-escaped) will be sent to the mathtext parser for
+      layout.
+
+    - Sub/superscripts are less likely to accidentally overlap.
+
+    - Support for sub/superscripts in either order, e.g., $x^i_j$ and $x_j^i$
+      are equivalent.
+
+    - Double sub/superscripts (e.g., $x_i_j$) are considered ambiguous and
+      raise an exception.  Use braces to disambiguate.
+
+    - $\frac{x}{y}$ can be used for displaying fractions.
+
+    - $\sqrt[3]{x}$ can be used to display the radical symbol with a root
+      number and body.
+
+    - $\left(\frac{x}{y}\right)$ may be used to create parentheses and other
+      delimiters that automatically resize to the height of their contents.
+
+    - Spacing around operators etc. is now generally more like TeX.
+
+    - Added support (and fonts) for boldface (\bf) and sans-serif (\sf)
+      symbols.
+
+    - Log-like function name shortcuts are supported.  For example, $\sin(x)$
+      may be used instead of ${\rm sin}(x)$
+
+    - Limited use of kerning for the easy case (same font)
+
+    Behind the scenes, the pyparsing.py module used for doing the math parsing
+    was updated to the latest stable version (1.4.6).  A lot of duplicate code
+    was refactored out of the Font classes.
+
+    - MGD
+
+2007-07-19
+    completed numpification of most trivial cases - NN
+
+2007-07-19
+    converted non-numpy relicts throughout the code - NN
+
+2007-07-19
+    replaced the Python code in numerix/ by a minimal wrapper around numpy that
+    explicitly mentions all symbols that need to be addressed for further
+    numpification - NN
+
+2007-07-18
+    make usetex respect changes to rcParams. texmanager used to only configure
+    itself when it was created, now it reconfigures when rcParams are changed.
+    Thank you Alexander Schmolck for contributing a patch - DSD
+
+2007-07-17
+    added validation to setting and changing rcParams - DSD
+
+2007-07-17
+    bugfix segfault in transforms module. Thanks Ben North for the patch. - ADS
+
+2007-07-16
+    clean up some code in ticker.ScalarFormatter, use unicode to render
+    multiplication sign in offset ticklabel - DSD
+
+2007-07-16
+    fixed a formatting bug in ticker.ScalarFormatter's scientific notation
+    (10^0 was being rendered as 10 in some cases) - DSD
+
+2007-07-13
+    Add MPL_isfinite64() and MPL_isinf64() for testing doubles in (the now
+    misnamed) MPL_isnan.h. - ADS
+
+2007-07-13
+    The matplotlib._isnan module removed (use numpy.isnan) - ADS
+
+2007-07-13
+    Some minor cleanups in _transforms.cpp - ADS
+
+2007-07-13
+    Removed the rest of the numerix extension code detritus, numpified axes.py,
+    and cleaned up the imports in axes.py - JDH
+
+2007-07-13
+    Added legend.loc as configurable option that could in future default to
+    'best'. - NN
+
+2007-07-12
+    Bugfixes in mlab.py to coerce inputs into numpy arrays. -ADS
+
+2007-07-11
+    Added linespacing kwarg to text.Text - EF
+
+2007-07-11
+    Added code to store font paths in SVG files. - MGD
+
+2007-07-10
+    Store subset of TTF font as a Type 3 font in PDF files. - MGD
+
+2007-07-09
+    Store subset of TTF font as a Type 3 font in PS files. - MGD
+
+2007-07-09
+    Applied Paul's pick restructure pick and add pickers, sourceforge patch
+    1749829 - JDH
+
+2007-07-09
+    Applied Allan's draw_lines agg optimization. JDH
+
+2007-07-08
+    Applied Carl Worth's patch to fix cairo draw_arc - SC
+
+2007-07-07
+    fixed bug 1712099: xpdf distiller on windows - DSD
+
+2007-06-30
+    Applied patches to tkagg, gtk, and wx backends to reduce memory leakage.
+    Patches supplied by Mike Droettboom; see tracker numbers 1745400, 1745406,
+    1745408.  Also made unit/memleak_gui.py more flexible with command-line
+    options. - EF
+
+2007-06-30
+    Split defaultParams into separate file rcdefaults (together with validation
+    code). Some heavy refactoring was necessary to do so, but the overall
+    behavior should be the same as before. - NN
+
+2007-06-27
+    Added MPLCONFIGDIR for the default location for mpl data and configuration.
+    useful for some apache installs where HOME is not writable.  Tried to clean
+    up the logic in _get_config_dir to support non-writable HOME where are
+    writable HOME/.matplotlib already exists - JDH
+
+2007-06-27
+    Fixed locale bug reported at
+    \http://sourceforge.net/tracker/index.php?func=detail&aid=1744154&group_id=80706&atid=560720
+    by adding a cbook.unicode_safe function - JDH
+
+2007-06-27
+    Applied Micheal's tk savefig bugfix described at
+    \http://sourceforge.net/tracker/index.php?func=detail&aid=1716732&group_id=80706&atid=560720
+    Thanks Michael!
+
+2007-06-27
+    Patch for get_py2exe_datafiles() to work with new directory layout. (Thanks
+    Tocer and also Werner Bruhin.) -ADS
+
+2007-06-27
+    Added a scroll event to the mpl event handling system and implemented it
+    for backends GTK* -- other backend users/developers/maintainers, please add
+    support for your backend. - JDH
+
+2007-06-25
+    Changed default to clip=False in colors.Normalize; modified ColorbarBase
+    for easier colormap display - EF
+
+2007-06-13
+    Added maskedarray option to rc, numerix - EF
+
+2007-06-11
+    Python 2.5 compatibility fix for mlab.py - EF
+
+2007-06-10
+    In matplotlibrc file, use 'dashed' | 'solid' instead of a pair of floats
+    for contour.negative_linestyle - EF
+
+2007-06-08
+    Allow plot and fill fmt string to be any mpl string colorspec - EF
+
+2007-06-08
+    Added gnuplot file plotfile function to pylab -- see
+    examples/plotfile_demo.py - JDH
+
+2007-06-07
+    Disable build of numarray and Numeric extensions for internal MPL use and
+    the numerix layer. - ADS
+
+2007-06-07
+    Added csv2rec to matplotlib.mlab to support automatically converting csv
+    files to record arrays using type introspection, and turned on native
+    datetime support using the new units support in matplotlib.dates.  See
+    examples/loadrec.py !  JDH
+
+2007-06-07
+    Simplified internal code of _auto_legend_data - NN
+
+2007-06-04
+    Added labeldistance arg to Axes.pie to control the raidal distance of the
+    wedge labels - JDH
+
+2007-06-03
+    Turned mathtext in SVG into single <text> with multiple <tspan> objects
+    (easier to edit in inkscape). - NN
+
+----------------------------
+
+2007-06-02
+    Released 0.90.1 at revision 3352
+
+2007-06-02
+    Display only meaningful labels when calling legend() without args. - NN
+
+2007-06-02
+    Have errorbar follow the color cycle even if line is not plotted.  Suppress
+    plotting of errorbar caps for capsize=0. - NN
+
+2007-06-02
+    Set markers to same alpha value as line. - NN
+
+2007-06-02
+    Fix mathtext position in svg backend. - NN
+
+2007-06-01
+    Deprecate Numeric and numarray for use as numerix. Props to Travis -- job
+    well done. - ADS
+
+2007-05-18
+    Added LaTeX unicode support. Enable with the 'text.latex.unicode' rcParam.
+    This requires the ucs and inputenc LaTeX packages. - ADS
+
+2007-04-23
+    Fixed some problems with polar -- added general polygon clipping to clip
+    the lines and grids to the polar axes.  Added support for set_rmax to
+    easily change the maximum radial grid.  Added support for polar legend -
+    JDH
+
+2007-04-16
+    Added Figure.autofmt_xdate to handle adjusting the bottom and rotating the
+    tick labels for date plots when the ticks often overlap - JDH
+
+2007-04-09
+    Beginnings of usetex support for pdf backend. -JKS
+
+2007-04-07
+    Fixed legend/LineCollection bug. Added label support to collections. - EF
+
+2007-04-06
+    Removed deprecated support for a float value as a gray-scale; now it must
+    be a string, like '0.5'.  Added alpha kwarg to ColorConverter.to_rgba_list.
+    - EF
+
+2007-04-06
+    Fixed rotation of ellipses in pdf backend (sf bug #1690559) -JKS
+
+2007-04-04
+    More matshow tweaks; documentation updates; new method set_bounds() for
+    formatters and locators. - EF
+
+2007-04-02
+    Fixed problem with imshow and matshow of integer arrays; fixed problems
+    with changes to color autoscaling. - EF
+
+2007-04-01
+    Made image color autoscaling work correctly with a tracking colorbar;
+    norm.autoscale now scales unconditionally, while norm.autoscale_None
+    changes only None-valued vmin, vmax. - EF
+
+2007-03-31
+    Added a qt-based subplot-adjustment dialog - DSD
+
+2007-03-30
+    Fixed a bug in backend_qt4, reported on mpl-dev - DSD
+
+2007-03-26
+    Removed colorbar_classic from figure.py; fixed bug in Figure.clear() in which
+    _axobservers was not getting cleared.  Modernization and cleanups. - EF
+
+2007-03-26
+    Refactored some of the units support -- units now live in the respective x
+    and y Axis instances.  See also API_CHANGES for some alterations to the
+    conversion interface.  JDH
+
+2007-03-25
+    Fix masked array handling in quiver.py for numpy. (Numeric and numarray
+    support for masked arrays is broken in other ways when using quiver. I
+    didn't pursue that.) - ADS
+
+2007-03-23
+    Made font_manager.py close opened files. - JKS
+
+2007-03-22
+    Made imshow default extent match matshow - EF
+
+2007-03-22
+    Some more niceties for xcorr -- a maxlags option, normed now works for
+    xcorr as well as axorr, usevlines is supported, and a zero correlation
+    hline is added.  See examples/xcorr_demo.py.  Thanks Sameer for the patch.
+    - JDH
+
+2007-03-21
+    Axes.vlines and Axes.hlines now create and returns a LineCollection, not a
+    list of lines.  This is much faster.  The kwarg signature has changed, so
+    consult the docs.  Modified Axes.errorbar which uses vlines and hlines.
+    See API_CHANGES; the return signature for these three functions is now
+    different
+
+2007-03-20
+    Refactored units support and added new examples - JDH
+
+2007-03-19
+    Added Mike's units patch - JDH
+
+2007-03-18
+    Matshow as an Axes method; test version matshow1() in pylab; added
+    'integer' Boolean kwarg to MaxNLocator initializer to force ticks at
+    integer locations. - EF
+
+2007-03-17
+    Preliminary support for clipping to paths agg - JDH
+
+2007-03-17
+    Text.set_text() accepts anything convertible with '%s' - EF
+
+2007-03-14
+    Add masked-array support to hist. - EF
+
+2007-03-03
+    Change barh to take a kwargs dict and pass it to bar.  Fixes sf bug
+    #1669506.
+
+2007-03-02
+    Add rc parameter pdf.inheritcolor, which disables all color-setting
+    operations in the pdf backend. The idea is that you include the resulting
+    file in another program and set the colors (both stroke and fill color)
+    there, so you can use the same pdf file for e.g., a paper and a
+    presentation and have them in the surrounding color. You will probably not
+    want to draw figure and axis frames in that case, since they would be
+    filled in the same color. - JKS
+
+2007-02-26
+    Prevent building _wxagg.so with broken Mac OS X wxPython. - ADS
+
+2007-02-23
+    Require setuptools for Python 2.3 - ADS
+
+2007-02-22
+    WXAgg accelerator updates - KM
+
+    WXAgg's C++ accelerator has been fixed to use the correct wxBitmap
+    constructor.
+
+    The backend has been updated to use new wxPython functionality to provide
+    fast blit() animation without the C++ accelerator.  This requires wxPython
+    2.8 or later.  Previous versions of wxPython can use the C++ accelerator or
+    the old pure Python routines.
+
+    setup.py no longer builds the C++ accelerator when wxPython >= 2.8 is
+    present.
+
+    The blit() method is now faster regardless of which agg/wxPython conversion
+    routines are used.
+
+2007-02-21
+    Applied the PDF backend patch by Nicolas Grilly.  This impacts several
+    files and directories in matplotlib:
+
+    - Created the directory lib/matplotlib/mpl-data/fonts/pdfcorefonts, holding
+      AFM files for the 14 PDF core fonts. These fonts are embedded in every
+      PDF viewing application.
+
+    - setup.py: Added the directory pdfcorefonts to package_data.
+
+    - lib/matplotlib/__init__.py: Added the default parameter
+      'pdf.use14corefonts'. When True, the PDF backend uses only the 14 PDF
+      core fonts.
+
+    - lib/matplotlib/afm.py: Added some keywords found in recent AFM files.
+      Added a little workaround to handle Euro symbol.
+
+    - lib/matplotlib/fontmanager.py: Added support for the 14 PDF core fonts.
+      These fonts have a dedicated cache (file pdfcorefont.cache), not the same
+      as for other AFM files (file .afmfont.cache). Also cleaned comments to
+      conform to CODING_GUIDE.
+
+    - lib/matplotlib/backends/backend_pdf.py: Added support for 14 PDF core
+      fonts.  Fixed some issues with incorrect character widths and encodings
+      (works only for the most common encoding, WinAnsiEncoding, defined by the
+      official PDF Reference).  Removed parameter 'dpi' because it causes
+      alignment issues.
+
+    -JKS (patch by Nicolas Grilly)
+
+2007-02-17
+    Changed ft2font.get_charmap, and updated all the files where get_charmap is
+    mentioned - ES
+
+2007-02-13
+    Added barcode demo- JDH
+
+2007-02-13
+    Added binary colormap to cm - JDH
+
+2007-02-13
+    Added twiny to pylab - JDH
+
+2007-02-12
+    Moved data files into lib/matplotlib so that setuptools' develop mode
+    works. Re-organized the mpl-data layout so that this source structure is
+    maintained in the installation. (i.e., the 'fonts' and 'images'
+    sub-directories are maintained in site-packages.)  Suggest removing
+    site-packages/matplotlib/mpl-data and ~/.matplotlib/ttffont.cache before
+    installing - ADS
+
+2007-02-07
+    Committed Rob Hetland's patch for qt4: remove references to
+    text()/latin1(), plus some improvements to the toolbar layout - DSD
+
+---------------------------
+
+2007-02-06
+    Released 0.90.0 at revision 3003
+
+2007-01-22
+    Extended the new picker API to text, patches and patch collections.  Added
+    support for user customizable pick hit testing and attribute tagging of the
+    PickEvent - Details and examples in examples/pick_event_demo.py - JDH
+
+2007-01-16
+    Begun work on a new pick API using the mpl event handling framework.
+    Artists will define their own pick method with a configurable epsilon
+    tolerance and return pick attrs.  All artists that meet the tolerance
+    threshold will fire a PickEvent with artist dependent attrs; e.g., a Line2D
+    can set the indices attribute that shows the indices into the line that are
+    within epsilon of the pick point.  See examples/pick_event_demo.py.  The
+    implementation of pick for the remaining Artists remains to be done, but
+    the core infrastructure at the level of event handling is in place with a
+    proof-of-concept implementation for Line2D - JDH
+
+2007-01-16
+    src/_image.cpp: update to use Py_ssize_t (for 64-bit systems).  Use return
+    value of fread() to prevent warning messages - SC.
+
+2007-01-15
+    src/_image.cpp: combine buffer_argb32() and buffer_bgra32() into a new
+    method color_conv(format) - SC
+
+2007-01-14
+    backend_cairo.py: update draw_arc() so that examples/arctest.py looks
+    correct - SC
+
+2007-01-12
+    backend_cairo.py: enable clipping. Update draw_image() so that
+    examples/contour_demo.py looks correct - SC
+
+2007-01-12
+    backend_cairo.py: fix draw_image() so that examples/image_demo.py now looks
+    correct - SC
+
+2007-01-11
+    Added Axes.xcorr and Axes.acorr to plot the cross correlation of x vs. y or
+    the autocorrelation of x.  pylab wrappers also provided.  See
+    examples/xcorr_demo.py - JDH
+
+2007-01-10
+    Added "Subplot.label_outer" method.  It will set the visibility of the
+    ticklabels so that yticklabels are only visible in the first column and
+    xticklabels are only visible in the last row - JDH
+
+2007-01-02
+    Added additional kwarg documentation - JDH
+
+2006-12-28
+    Improved error message for nonpositive input to log transform; added log
+    kwarg to bar, barh, and hist, and modified bar method to behave sensibly by
+    default when the ordinate has a log scale.  (This only works if the log
+    scale is set before or by the call to bar, hence the utility of the log
+    kwarg.) - EF
+
+2006-12-27
+    backend_cairo.py: update draw_image() and _draw_mathtext() to work with
+    numpy - SC
+
+2006-12-20
+    Fixed xpdf dependency check, which was failing on windows.  Removed ps2eps
+    dependency check. - DSD
+
+2006-12-19
+    Added Tim Leslie's spectral patch - JDH
+
+2006-12-17
+    Added rc param 'axes.formatter.limits' to control the default threshold for
+    switching to scientific notation. Added convenience method
+    Axes.ticklabel_format() for turning scientific notation on or off on either
+    or both axes. - EF
+
+2006-12-16
+    Added ability to turn control scientific notation in ScalarFormatter - EF
+
+2006-12-16
+    Enhanced boxplot to handle more flexible inputs - EF
+
+2006-12-13
+    Replaced calls to where() in colors.py with much faster clip() and
+    putmask() calls; removed inappropriate uses of getmaskorNone (which should
+    be needed only very rarely); all in response to profiling by David
+    Cournapeau.  Also fixed bugs in my 2-D array support from 12-09. - EF
+
+2006-12-09
+    Replaced spy and spy2 with the new spy that combines marker and image
+    capabilities - EF
+
+2006-12-09
+    Added support for plotting 2-D arrays with plot: columns are plotted as in
+    Matlab - EF
+
+2006-12-09
+    Added linewidth kwarg to bar and barh; fixed arg checking bugs - EF
+
+2006-12-07
+    Made pcolormesh argument handling match pcolor; fixed kwarg handling
+    problem noted by Pierre GM - EF
+
+2006-12-06
+    Made pcolor support vector X and/or Y instead of requiring 2-D arrays - EF
+
+2006-12-05
+    Made the default Artist._transform None (rather than invoking
+    identity_transform for each artist only to have it overridden later).  Use
+    artist.get_transform() rather than artist._transform, even in derived
+    classes, so that the default transform will be created lazily as needed -
+    JDH
+
+2006-12-03
+    Added LogNorm to colors.py as illustrated by examples/pcolor_log.py, based
+    on suggestion by Jim McDonald.  Colorbar modified to handle LogNorm.  Norms
+    have additional "inverse" method. - EF
+
+2006-12-02
+    Changed class names in colors.py to match convention: normalize ->
+    Normalize, no_norm -> NoNorm.  Old names are still available.  Changed
+    __init__.py rc defaults to match those in matplotlibrc - EF
+
+2006-11-22
+    Fixed bug in set_*lim that I had introduced on 11-15 - EF
+
+2006-11-22
+    Added examples/clippedline.py, which shows how to clip line data based on
+    view limits -- it also changes the marker style when zoomed in - JDH
+
+2006-11-21
+    Some spy bug-fixes and added precision arg per Robert C's suggestion  - JDH
+
+2006-11-19
+    Added semi-automatic docstring generation detailing all the kwargs that
+    functions take using the artist introspection tools; e.g., 'help text now
+    details the scatter kwargs that control the Text properties  - JDH
+
+2006-11-17
+    Removed obsolete scatter_classic, leaving a stub to raise
+    NotImplementedError; same for pcolor_classic - EF
+
+2006-11-15
+    Removed obsolete pcolor_classic - EF
+
+2006-11-15
+    Fixed 1588908 reported by Russel Owen; factored nonsingular method out of
+    ticker.py, put it into transforms.py as a function, and used it in set_xlim
+    and set_ylim. - EF
+
+2006-11-14
+    Applied patch 1591716 by Ulf Larssen to fix a bug in apply_aspect.
+    Modified and applied patch 1594894 by mdehoon to fix bugs and improve
+    formatting in lines.py. Applied patch 1573008 by Greg Willden to make psd
+    etc. plot full frequency range for complex inputs. - EF
+
+2006-11-14
+    Improved the ability of the colorbar to track changes in corresponding
+    image, pcolor, or contourf. - EF
+
+2006-11-11
+    Fixed bug that broke Numeric compatibility; added support for alpha to
+    colorbar.  The alpha information is taken from the mappable object, not
+    specified as a kwarg. - EF
+
+2006-11-05
+    Added broken_barh function for making a sequence of horizontal bars broken
+    by gaps -- see examples/broken_barh.py
+
+2006-11-05
+    Removed lineprops and markerprops from the Annotation code and replaced
+    them with an arrow configurable with kwarg arrowprops.  See
+    examples/annotation_demo.py - JDH
+
+2006-11-02
+    Fixed a pylab subplot bug that was causing axes to be deleted with hspace
+    or wspace equals zero in subplots_adjust - JDH
+
+2006-10-31
+    Applied axes3d patch 1587359
+    \http://sourceforge.net/tracker/index.php?func=detail&aid=1587359&group_id=80706&atid=560722
+    JDH
+
+-------------------------
+
+2006-10-26
+    Released 0.87.7 at revision 2835
+
+2006-10-25
+    Made "tiny" kwarg in Locator.nonsingular much smaller - EF
+
+2006-10-17
+    Closed sf bug 1562496 update line props dash/solid/cap/join styles - JDH
+
+2006-10-17
+    Complete overhaul of the annotations API and example code - See
+    matplotlib.text.Annotation and examples/annotation_demo.py JDH
+
+2006-10-12
+    Committed Manuel Metz's StarPolygon code and examples/scatter_star_poly.py
+    - JDH
+
+2006-10-11
+    commented out all default values in matplotlibrc.template Default values
+    should generally be taken from defaultParam in __init__.py - the file
+    matplotlib should only contain those values that the user wants to
+    explicitly change from the default.  (see thread "marker color handling" on
+    matplotlib-devel)
+
+2006-10-10
+    Changed default comment character for load to '#' - JDH
+
+2006-10-10
+    deactivated rcfile-configurability of markerfacecolor and markeredgecolor.
+    Both are now hardcoded to the special value 'auto' to follow the line
+    color. Configurability at run-time (using function arguments) remains
+    functional. - NN
+
+2006-10-07
+    introduced dummy argument magnification=1.0 to FigImage.make_image to
+    satisfy unit test figimage_demo.py The argument is not yet handled
+    correctly, which should only show up when using non-standard DPI settings
+    in PS backend, introduced by patch #1562394. - NN
+
+2006-10-06
+    add backend-agnostic example: simple3d.py - NN
+
+2006-09-29
+    fix line-breaking for SVG-inline images (purely cosmetic) - NN
+
+2006-09-29
+    reworked set_linestyle and set_marker markeredgecolor and markerfacecolor
+    now default to a special value "auto" that keeps the color in sync with the
+    line color further, the intelligence of axes.plot is cleaned up, improved
+    and simplified. Complete compatibility cannot be guaranteed, but the new
+    behavior should be much more predictable (see patch #1104615 for details) -
+    NN
+
+2006-09-29
+    changed implementation of clip-path in SVG to work around a limitation in
+    inkscape - NN
+
+2006-09-29
+    added two options to matplotlibrc:
+
+    - svg.image_inline
+    - svg.image_noscale
+
+    see patch #1533010 for details - NN
+
+2006-09-29
+    axes.py: cleaned up kwargs checking - NN
+
+2006-09-29
+    setup.py: cleaned up setup logic - NN
+
+2006-09-29
+    setup.py: check for required pygtk versions, fixes bug #1460783 - SC
+
+---------------------------------
+
+2006-09-27
+    Released 0.87.6 at revision 2783
+
+2006-09-24
+    Added line pointers to the Annotation code, and a pylab interface.  See
+    matplotlib.text.Annotation, examples/annotation_demo.py and
+    examples/annotation_demo_pylab.py - JDH
+
+2006-09-18
+    mathtext2.py: The SVG backend now supports the same things that the AGG
+    backend does. Fixed some bugs with rendering, and out of bounds errors in
+    the AGG backend - ES. Changed the return values of math_parse_s_ft2font_svg
+    to support lines (fractions etc.)
+
+2006-09-17
+    Added an Annotation class to facilitate annotating objects and an examples
+    file examples/annotation_demo.py.  I want to add dash support as in
+    TextWithDash, but haven't decided yet whether inheriting from TextWithDash
+    is the right base class or if another approach is needed - JDH
+
+------------------------------
+
+2006-09-05
+    Released 0.87.5 at revision 2761
+
+2006-09-04
+    Added nxutils for some numeric add-on extension code -- specifically a
+    better/more efficient inside polygon tester (see unit/inside_poly_*.py) -
+    JDH
+
+2006-09-04
+    Made bitstream fonts the rc default - JDH
+
+2006-08-31
+    Fixed alpha-handling bug in ColorConverter, affecting collections in
+    general and contour/contourf in particular. - EF
+
+2006-08-30
+    ft2font.cpp: Added draw_rect_filled method (now used by mathtext2 to draw
+    the fraction bar) to FT2Font - ES
+
+2006-08-29
+    setupext.py: wrap calls to tk.getvar() with str(). On some systems, getvar
+    returns a Tcl_Obj instead of a string - DSD
+
+2006-08-28
+    mathtext2.py: Sub/superscripts can now be complex (i.e.  fractions etc.).
+    The demo is also updated - ES
+
+2006-08-28
+    font_manager.py: Added /usr/local/share/fonts to list of X11 font
+    directories - DSD
+
+2006-08-28
+    mathtext2.py: Initial support for complex fractions. Also, rendering is now
+    completely separated from parsing. The sub/superscripts now work better.
+    Updated the mathtext2_demo.py - ES
+
+2006-08-27
+    qt backends: don't create a QApplication when backend is imported, do it
+    when the FigureCanvasQt is created. Simplifies applications where mpl is
+    embedded in qt. Updated embedding_in_qt* examples - DSD
+
+2006-08-27
+    mathtext2.py: Now the fonts are searched in the OS font dir and in the
+    mpl-data dir. Also env is not a dict anymore. - ES
+
+2006-08-26
+    minor changes to __init__.py, mathtex2_demo.py. Added matplotlibrc key
+    "mathtext.mathtext2" (removed the key "mathtext2") - ES
+
+2006-08-21
+    mathtext2.py: Initial support for fractions Updated the mathtext2_demo.py
+    _mathtext_data.py: removed "\" from the unicode dicts mathtext.py: Minor
+    modification (because of _mathtext_data.py)- ES
+
+2006-08-20
+    Added mathtext2.py: Replacement for mathtext.py. Supports _ ^, \rm, \cal
+    etc., \sin, \cos etc., unicode, recursive nestings, inline math mode. The
+    only backend currently supported is Agg __init__.py: added new rc params
+    for mathtext2 added mathtext2_demo.py example - ES
+
+2006-08-19
+    Added embedding_in_qt4.py example - DSD
+
+2006-08-11
+    Added scale free Ellipse patch for Agg - CM
+
+2006-08-10
+    Added converters to and from julian dates to matplotlib.dates (num2julian
+    and julian2num) - JDH
+
+2006-08-08
+    Fixed widget locking so multiple widgets could share the event handling -
+    JDH
+
+2006-08-07
+    Added scale free Ellipse patch to SVG and PS - CM
+
+2006-08-05
+    Re-organized imports in numerix for numpy 1.0b2 -- TEO
+
+2006-08-04
+    Added draw_markers to PDF backend. - JKS
+
+2006-08-01
+    Fixed a bug in postscript's rendering of dashed lines - DSD
+
+2006-08-01
+    figure.py: savefig() update docstring to add support for 'format' argument.
+    backend_cairo.py: print_figure() add support 'format' argument. - SC
+
+2006-07-31
+    Don't let postscript's xpdf distiller compress images - DSD
+
+2006-07-31
+    Added shallowcopy() methods to all Transformations; removed
+    copy_bbox_transform and copy_bbox_transform_shallow from transforms.py;
+    added offset_copy() function to transforms.py to facilitate positioning
+    artists with offsets.  See examples/transoffset.py. - EF
+
+2006-07-31
+    Don't let postscript's xpdf distiller compress images - DSD
+
+2006-07-29
+    Fixed numerix polygon bug reported by Nick Fotopoulos.  Added
+    inverse_numerix_xy() transform method.  Made autoscale_view() preserve axis
+    direction (e.g., increasing down).- EF
+
+2006-07-28
+    Added shallow bbox copy routine for transforms -- mainly useful for copying
+    transforms to apply offset to. - JDH
+
+2006-07-28
+    Added resize method to FigureManager class for Qt and Gtk backend - CM
+
+2006-07-28
+    Added subplots_adjust button to Qt backend - CM
+
+2006-07-26
+    Use numerix more in collections.  Quiver now handles masked arrays. - EF
+
+2006-07-22
+    Fixed bug #1209354 - DSD
+
+2006-07-22
+    make scatter() work with the kwarg "color". Closes bug 1285750 - DSD
+
+2006-07-20
+    backend_cairo.py: require pycairo 1.2.0.  print_figure() update to output
+    SVG using cairo.
+
+2006-07-19
+    Added blitting for Qt4Agg - CM
+
+2006-07-19
+    Added lasso widget and example examples/lasso_demo.py - JDH
+
+2006-07-18
+    Added blitting for QtAgg backend - CM
+
+2006-07-17
+    Fixed bug #1523585: skip nans in semilog plots - DSD
+
+2006-07-12
+    Add support to render the scientific notation label over the right-side
+    y-axis - DSD
+
+------------------------------
+
+2006-07-11
+    Released 0.87.4 at revision 2558
+
+2006-07-07
+    Fixed a usetex bug with older versions of latex - DSD
+
+2006-07-07
+    Add compatibility for NumPy 1.0 - TEO
+
+2006-06-29
+    Added a Qt4Agg backend. Thank you James Amundson - DSD
+
+2006-06-26
+    Fixed a usetex bug. On Windows, usetex will process postscript output in
+    the current directory rather than in a temp directory. This is due to the
+    use of spaces and tildes in windows paths, which cause problems with latex.
+    The subprocess module is no longer used. - DSD
+
+2006-06-22
+    Various changes to bar(), barh(), and hist().  Added 'edgecolor' keyword
+    arg to bar() and barh().  The x and y args in barh() have been renamed to
+    width and bottom respectively, and their order has been swapped to maintain
+    a (position, value) order ala matlab. left, height, width and bottom args
+    can now all be scalars or sequences. barh() now defaults to edge alignment
+    instead of center alignment. Added a keyword arg 'align' to bar(), barh()
+    and hist() that controls between edge or center bar alignment. Fixed
+    ignoring the rcParams['patch.facecolor'] for bar color in bar() and barh().
+    Fixed ignoring the rcParams['lines.color'] for error bar color in bar() and
+    barh(). Fixed a bug where patches would be cleared when error bars were
+    plotted if rcParams['axes.hold'] was False. - MAS
+
+2006-06-22
+    Added support for numerix 2-D arrays as alternatives to a sequence of (x,y)
+    tuples for specifying paths in collections, quiver, contour, pcolor,
+    transforms.  Fixed contour bug involving setting limits for colormapping.
+    Added numpy-style all() to numerix. - EF
+
+2006-06-20
+    Added custom FigureClass hook to pylab interface - see
+    examples/custom_figure_class.py
+
+2006-06-16
+    Added colormaps from gist (gist_earth, gist_stern, gist_rainbow, gist_gray,
+    gist_yarg, gist_heat, gist_ncar) - JW
+
+2006-06-16
+    Added a pointer to parent in figure canvas so you can access the container
+    with fig.canvas.manager.  Useful if you want to set the window title, e.g.,
+    in gtk fig.canvas.manager.window.set_title, though a GUI neutral method
+    would be preferable JDH
+
+2006-06-16
+    Fixed colorbar.py to handle indexed colors (i.e., norm = no_norm()) by
+    centering each colored region on its index. - EF
+
+2006-06-15
+    Added scalex and scaley to Axes.autoscale_view to support selective
+    autoscaling just the x or y axis, and supported these command in plot so
+    you can say plot(something, scaley=False) and just the x axis will be
+    autoscaled.  Modified axvline and axhline to support this, so for example
+    axvline will no longer autoscale the y axis. JDH
+
+2006-06-13
+    Fix so numpy updates are backward compatible - TEO
+
+2006-06-12
+    Updated numerix to handle numpy restructuring of oldnumeric - TEO
+
+2006-06-12
+    Updated numerix.fft to handle numpy restructuring Added ImportError to
+    numerix.linear_algebra for numpy -TEO
+
+2006-06-11
+    Added quiverkey command to pylab and Axes, using QuiverKey class in
+    quiver.py.  Changed pylab and Axes to use quiver2 if possible, but drop
+    back to the newly-renamed quiver_classic if necessary.  Modified
+    examples/quiver_demo.py to illustrate the new quiver and quiverkey.
+    Changed LineCollection implementation slightly to improve compatibility
+    with PolyCollection. - EF
+
+2006-06-11
+    Fixed a usetex bug for windows, running latex on files with spaces in their
+    names or paths was failing - DSD
+
+2006-06-09
+    Made additions to numerix, changes to quiver to make it work with all
+    numeric flavors. - EF
+
+2006-06-09
+    Added quiver2 function to pylab and method to axes, with implementation via
+    a Quiver class in quiver.py.  quiver2 will replace quiver before the next
+    release; it is placed alongside it initially to facilitate testing and
+    transition. See also examples/quiver2_demo.py. - EF
+
+2006-06-08
+    Minor bug fix to make ticker.py draw proper minus signs with usetex - DSD
+
+-----------------------
+
+2006-06-06
+    Released 0.87.3 at revision 2432
+
+2006-05-30
+    More partial support for polygons with outline or fill, but not both.  Made
+    LineCollection inherit from ScalarMappable. - EF
+
+2006-05-29
+    Yet another revision of aspect-ratio handling. - EF
+
+2006-05-27
+    Committed a patch to prevent stroking zero-width lines in the svg backend -
+    DSD
+
+2006-05-24
+    Fixed colorbar positioning bug identified by Helge Avlesen, and improved
+    the algorithm; added a 'pad' kwarg to control the spacing between colorbar
+    and parent axes. - EF
+
+2006-05-23
+    Changed color handling so that collection initializers can take any mpl
+    color arg or sequence of args; deprecated float as grayscale, replaced by
+    string representation of float. - EF
+
+2006-05-19
+    Fixed bug: plot failed if all points were masked - EF
+
+2006-05-19
+    Added custom symbol option to scatter - JDH
+
+2006-05-18
+    New example, multi_image.py; colorbar fixed to show offset text when the
+    ScalarFormatter is used; FixedFormatter augmented to accept and display
+    offset text. - EF
+
+2006-05-14
+    New colorbar; old one is renamed to colorbar_classic.  New colorbar code is
+    in colorbar.py, with wrappers in figure.py and pylab.py.  Fixed
+    aspect-handling bug reported by Michael Mossey.  Made
+    backend_bases.draw_quad_mesh() run.- EF
+
+2006-05-08
+    Changed handling of end ranges in contourf: replaced "clip-ends" kwarg with
+    "extend".  See docstring for details. -EF
+
+2006-05-08
+    Added axisbelow to rc - JDH
+
+2006-05-08
+    If using PyGTK require version 2.2+ - SC
+
+2006-04-19
+    Added compression support to PDF backend, controlled by new pdf.compression
+    rc setting. - JKS
+
+2006-04-19
+    Added Jouni's PDF backend
+
+2006-04-18
+    Fixed a bug that caused agg to not render long lines
+
+2006-04-16
+    Masked array support for pcolormesh; made pcolormesh support the same
+    combinations of X,Y,C dimensions as pcolor does; improved (I hope)
+    description of grid used in pcolor, pcolormesh. - EF
+
+2006-04-14
+    Reorganized axes.py - EF
+
+2006-04-13
+    Fixed a bug Ryan found using usetex with sans-serif fonts and exponential
+    tick labels - DSD
+
+2006-04-11
+    Refactored backend_ps and backend_agg to prevent module-level texmanager
+    imports. Now these imports only occur if text.usetex rc setting is true -
+    DSD
+
+2006-04-10
+    Committed changes required for building mpl on win32 platforms with visual
+    studio.  This allows wxpython blitting for fast animations. - CM
+
+2006-04-10
+    Fixed an off-by-one bug in Axes.change_geometry.
+
+2006-04-10
+    Fixed bug in pie charts where wedge wouldn't have label in legend.
+    Submitted by Simon Hildebrandt. - ADS
+
+2006-05-06
+    Usetex makes temporary latex and dvi files in a temporary directory, rather
+    than in the user's current working directory - DSD
+
+2006-04-05
+    Applied Ken's wx deprecation warning patch closing sf patch #1465371 - JDH
+
+2006-04-05
+    Added support for the new API in the postscript backend.  Allows values to
+    be masked using nan's, and faster file creation - DSD
+
+2006-04-05
+    Use python's subprocess module for usetex calls to external programs.
+    subprocess catches when they exit abnormally so an error can be raised. -
+    DSD
+
+2006-04-03
+    Fixed the bug in which widgets would not respond to events.  This regressed
+    the twinx functionality, so I also updated subplots_adjust to update axes
+    that share an x or y with a subplot instance. - CM
+
+2006-04-02
+    Moved PBox class to transforms and deleted pbox.py; made pylab axis command
+    a thin wrapper for Axes.axis; more tweaks to aspect-ratio handling; fixed
+    Axes.specgram to account for the new imshow default of unit aspect ratio;
+    made contour set the Axes.dataLim. - EF
+
+2006-03-31
+    Fixed the Qt "Underlying C/C++ object deleted" bug. - JRE
+
+2006-03-31
+    Applied Vasily Sulatskov's Qt Navigation Toolbar enhancement. - JRE
+
+2006-03-31
+    Ported Norbert's rewriting of Halldor's stineman_interp algorithm to make
+    it numerix compatible and added code to matplotlib.mlab.  See
+    examples/interp_demo.py - JDH
+
+2006-03-30
+    Fixed a bug in aspect ratio handling; blocked potential crashes when
+    panning with button 3; added axis('image') support. - EF
+
+2006-03-28
+    More changes to aspect ratio handling; new PBox class in new file pbox.py
+    to facilitate resizing and repositioning axes; made PolarAxes maintain unit
+    aspect ratio. - EF
+
+2006-03-23
+    Refactored TextWithDash class to inherit from, rather than delegate to, the
+    Text class. Improves object inspection and closes bug # 1357969 - DSD
+
+2006-03-22
+    Improved aspect ratio handling, including pylab interface.  Interactive
+    resizing, pan, zoom of images and plots (including panels with a shared
+    axis) should work.  Additions and possible refactoring are still likely. -
+    EF
+
+2006-03-21
+    Added another colorbrewer colormap (RdYlBu) - JSWHIT
+
+2006-03-21
+    Fixed tickmarks for logscale plots over very large ranges.  Closes bug #
+    1232920 - DSD
+
+2006-03-21
+    Added Rob Knight's arrow code; see examples/arrow_demo.py - JDH
+
+2006-03-20
+    Added support for masking values with nan's, using ADS's isnan module and
+    the new API. Works for \*Agg backends - DSD
+
+2006-03-20
+    Added contour.negative_linestyle rcParam - ADS
+
+2006-03-20
+    Added _isnan extension module to test for nan with Numeric - ADS
+
+2006-03-17
+    Added Paul and Alex's support for faceting with quadmesh in sf patch
+    1411223 - JDH
+
+2006-03-17
+    Added Charle Twardy's pie patch to support colors=None.  Closes sf patch
+    1387861 - JDH
+
+2006-03-17
+    Applied sophana's patch to support overlapping axes with toolbar navigation
+    by toggling activation with the 'a' key.  Closes sf patch 1432252 - JDH
+
+2006-03-17
+    Applied Aarre's linestyle patch for backend EMF; closes sf patch 1449279 -
+    JDH
+
+2006-03-17
+    Applied  Jordan Dawe's patch to support kwarg properties for grid lines in
+    the grid command.  Closes sf patch 1451661 - JDH
+
+2006-03-17
+    Center postscript output on page when using usetex - DSD
+
+2006-03-17
+    subprocess module built if Python <2.4 even if subprocess can be imported
+    from an egg - ADS
+
+2006-03-17
+    Added _subprocess.c from Python upstream and hopefully enabled building
+    (without breaking) on Windows, although not tested. - ADS
+
+2006-03-17
+    Updated subprocess.py to latest Python upstream and reverted name back to
+    subprocess.py - ADS
+
+2006-03-16
+    Added John Porter's 3D handling code
+
+------------------------
+
+2006-03-16
+    Released 0.87.2 at revision 2150
+
+2006-03-15
+    Fixed bug in MaxNLocator revealed by daigos@infinito.it.  The main change
+    is that Locator.nonsingular now adjusts vmin and vmax if they are nearly
+    the same, not just if they are equal.  A new kwarg, "tiny", sets the
+    threshold. - EF
+
+2006-03-14
+    Added import of compatibility library for newer numpy linear_algebra - TEO
+
+2006-03-12
+    Extended "load" function to support individual columns and moved "load" and
+    "save" into matplotlib.mlab so they can be used outside of pylab -- see
+    examples/load_converter.py - JDH
+
+2006-03-12
+    Added AutoDateFormatter and AutoDateLocator submitted by James Evans. Try
+    the load_converter.py example for a demo. - ADS
+
+2006-03-11
+    Added subprocess module from python-2.4 - DSD
+
+2006-03-11
+    Fixed landscape orientation support with the usetex option. The backend_ps
+    print_figure method was getting complicated, I added a _print_figure_tex
+    method to maintain some degree of sanity - DSD
+
+2006-03-11
+    Added "papertype" savefig kwarg for setting postscript papersizes.
+    papertype and ps.papersize rc setting can also be set to "auto" to
+    autoscale pagesizes - DSD
+
+2006-03-09
+    Apply P-J's patch to make pstoeps work on windows patch report # 1445612 -
+    DSD
+
+2006-03-09
+    Make backend rc parameter case-insensitive - DSD
+
+2006-03-07
+    Fixed bug in backend_ps related to C0-C6 papersizes, which were causing
+    problems with postscript viewers.  Supported page sizes include letter,
+    legal, ledger, A0-A10, and B0-B10 - DSD
+
+------------------------------------
+
+2006-03-07
+    Released 0.87.1
+
+2006-03-04
+    backend_cairo.py: fix get_rgb() bug reported by Keith Briggs.  Require
+    pycairo 1.0.2.  Support saving png to file-like objects. - SC
+
+2006-03-03
+    Fixed pcolor handling of vmin, vmax - EF
+
+2006-03-02
+    improve page sizing with usetex with the latex geometry package. Closes bug
+    # 1441629 - DSD
+
+2006-03-02
+    Fixed dpi problem with usetex png output. Accepted a modified version of
+    patch # 1441809 - DSD
+
+2006-03-01
+    Fixed axis('scaled') to deal with case xmax < xmin - JSWHIT
+
+2006-03-01
+    Added reversed colormaps (with '_r' appended to name) - JSWHIT
+
+2006-02-27
+    Improved eps bounding boxes with usetex - DSD
+
+2006-02-27
+    Test svn commit, again!
+
+2006-02-27
+    Fixed two dependency checking bugs related to usetex on Windows - DSD
+
+2006-02-27
+    Made the rc deprecation warnings a little more human readable.
+
+2006-02-26
+    Update the previous gtk.main_quit() bug fix to use gtk.main_level() - SC
+
+2006-02-24
+    Implemented alpha support in contour and contourf - EF
+
+2006-02-22
+    Fixed gtk main quit bug when quit was called before mainloop. - JDH
+
+2006-02-22
+    Small change to colors.py to workaround apparent bug in numpy masked array
+    module - JSWHIT
+
+2006-02-22
+    Fixed bug in ScalarMappable.to_rgba() reported by Ray Jones, and fixed
+    incorrect fix found by Jeff Whitaker - EF
+
+--------------------------------
+
+2006-02-22
+    Released 0.87
+
+2006-02-21
+    Fixed portrait/landscape orientation in postscript backend - DSD
+
+2006-02-21
+    Fix bug introduced in yesterday's bug fix - SC
+
+2006-02-20
+    backend_gtk.py FigureCanvasGTK.draw(): fix bug reported by David
+    Tremouilles - SC
+
+2006-02-20
+    Remove the "pygtk.require('2.4')" error from examples/embedding_in_gtk2.py
+    - SC
+
+2006-02-18
+    backend_gtk.py FigureCanvasGTK.draw(): simplify to use (rather than
+    duplicate) the expose_event() drawing code - SC
+
+2006-02-12
+    Added stagger or waterfall plot capability to LineCollection; illustrated
+    in examples/collections.py. - EF
+
+2006-02-11
+    Massive cleanup of the usetex code in the postscript backend. Possibly
+    fixed the clipping issue users were reporting with older versions of
+    ghostscript - DSD
+
+2006-02-11
+    Added autolim kwarg to axes.add_collection.  Changed collection get_verts()
+    methods accordingly. - EF
+
+2006-02-09
+    added a temporary rc parameter text.dvipnghack, to allow Mac users to get
+    nice results with the usetex option. - DSD
+
+2006-02-09
+    Fixed a bug related to setting font sizes with the usetex option. - DSD
+
+2006-02-09
+    Fixed a bug related to usetex's latex code. - DSD
+
+2006-02-09
+    Modified behavior of font.size rc setting. You should define font.size in
+    pts, which will set the "medium" or default fontsize. Special text sizes
+    like axis labels or tick labels can be given relative font sizes like
+    small, large, x-large, etc. and will scale accordingly. - DSD
+
+2006-02-08
+    Added py2exe specific datapath check again.  Also added new py2exe helper
+    function get_py2exe_datafiles for use in py2exe setup.py scripts. - CM
+
+2006-02-02
+    Added box function to pylab
+
+2006-02-02
+    Fixed a problem in setupext.py, tk library formatted in unicode caused
+    build problems - DSD
+
+2006-02-01
+    Dropped TeX engine support in usetex to focus on LaTeX. - DSD
+
+2006-01-29
+    Improved usetex option to respect the serif, sans-serif, monospace, and
+    cursive rc settings. Removed the font.latex.package rc setting, it is no
+    longer required - DSD
+
+2006-01-29
+    Fixed tex's caching to include font.family rc information - DSD
+
+2006-01-29
+    Fixed subpixel rendering bug in \*Agg that was causing uneven gridlines -
+    JDH
+
+2006-01-28
+    Added fontcmd to backend_ps's RendererPS.draw_tex, to support other font
+    families in eps output - DSD
+
+2006-01-28
+    Added MaxNLocator to ticker.py, and changed contour.py to use it by
+    default. - EF
+
+2006-01-28
+    Added fontcmd to backend_ps's RendererPS.draw_tex, to support other font
+    families in eps output - DSD
+
+2006-01-27
+    Buffered reading of matplotlibrc parameters in order to allow 'verbose'
+    settings to be processed first (allows verbose.report during rc validation
+    process) - DSD
+
+2006-01-27
+    Removed setuptools support from setup.py and created a separate setupegg.py
+    file to replace it. - CM
+
+2006-01-26
+    Replaced the ugly datapath logic with a cleaner approach from
+    http://wiki.python.org/moin/DistutilsInstallDataScattered.  Overrides the
+    install_data command. - CM
+
+2006-01-24
+    Don't use character typecodes in cntr.c --- changed to use defined
+    typenumbers instead. - TEO
+
+2006-01-24
+    Fixed some bugs in usetex's and ps.usedistiller's dependency
+
+2006-01-24
+    Added masked array support to scatter - EF
+
+2006-01-24
+    Fixed some bugs in usetex's and ps.usedistiller's dependency checking - DSD
+
+-------------------------------
+
+2006-01-24
+    Released 0.86.2
+
+2006-01-20
+    Added a converters dict to pylab load to convert selected columns to float
+    -- especially useful for files with date strings, uses a datestr2num
+    converter - JDH
+
+2006-01-20
+    Added datestr2num to matplotlib dates to convert a string or sequence of
+    strings to a matplotlib datenum
+
+2006-01-18
+    Added quadrilateral pcolormesh patch 1409190 by Alex Mont and Paul Kienzle
+    -- this is \*Agg only for now.  See examples/quadmesh_demo.py - JDH
+
+2006-01-18
+    Added Jouni's boxplot patch - JDH
+
+2006-01-18
+    Added comma delimiter for pylab save - JDH
+
+2006-01-12
+    Added Ryan's legend patch - JDH
+
+2006-01-12
+    Fixed numpy / numeric to use .dtype.char to keep in SYNC with numpy SVN
+
+---------------------------
+
+2006-01-11
+    Released 0.86.1
+
+2006-01-11 
+    Fixed setup.py for win32 build and added rc template to the MANIFEST.in
+
+2006-01-10
+    Added xpdf distiller option. matplotlibrc ps.usedistiller can now be none,
+    false, ghostscript, or xpdf. Validation checks for dependencies. This needs
+    testing, but the xpdf option should produce the highest-quality output and
+    small file sizes - DSD
+
+2006-01-10
+    For the usetex option, backend_ps now does all the LaTeX work in the os's
+    temp directory - DSD
+
+2006-01-10
+    Added checks for usetex dependencies. - DSD
+
+---------------------------------
+
+2006-01-09
+    Released 0.86
+
+2006-01-04
+    Changed to support numpy (new name for scipy_core) - TEO
+
+2006-01-04
+    Added Mark's scaled axes patch for shared axis
+
+2005-12-28
+    Added Chris Barker's build_wxagg patch - JDH
+
+2005-12-27
+    Altered numerix/scipy to support new scipy package structure - TEO
+
+2005-12-20
+    Fixed Jame's Boyles date tick reversal problem - JDH
+
+2005-12-20
+    Added Jouni's rc patch to support lists of keys to set on - JDH
+
+2005-12-12
+    Updated pyparsing and mathtext for some speed enhancements (Thanks Paul
+    McGuire) and minor fixes to scipy numerix and setuptools
+
+2005-12-12
+    Matplotlib data is now installed as package_data in the matplotlib module.
+    This gets rid of checking the many possibilities in
+    matplotlib._get_data_path() - CM
+
+2005-12-11
+    Support for setuptools/pkg_resources to build and use matplotlib as an egg.
+    Still allows matplotlib to exist using a traditional distutils install. -
+    ADS
+
+2005-12-03
+    Modified setup to build matplotlibrc based on compile time findings.  It
+    will set numerix in the order of scipy, numarray, Numeric depending on
+    which are founds, and backend as in preference order GTKAgg, WXAgg, TkAgg,
+    GTK, Agg, PS
+
+2005-12-03
+    Modified scipy patch to support Numeric, scipy and numarray Some work
+    remains to be done because some of the scipy imports are broken if only the
+    core is installed.  e.g., apparently we need from scipy.basic.fftpack
+    import * rather than from scipy.fftpack import *
+
+2005-12-03
+    Applied some fixes to Nicholas Young's nonuniform image patch
+
+2005-12-01
+    Applied Alex Gontmakher hatch patch - PS only for now
+
+2005-11-30
+    Added Rob McMullen's EMF patch
+
+2005-11-30
+    Added Daishi's patch for scipy
+
+2005-11-30
+    Fixed out of bounds draw markers segfault in agg
+
+2005-11-28
+    Got TkAgg blitting working 100% (cross fingers) correctly. - CM
+
+2005-11-27
+    Multiple changes in cm.py, colors.py, figure.py, image.py, contour.py,
+    contour_demo.py; new _cm.py, examples/image_masked.py.
+
+    1. Separated the color table data from cm.py out into a new file, _cm.py,
+       to make it easier to find the actual code in cm.py and to add new
+       colormaps.  Also added some line breaks to the color data dictionaries.
+       Everything from _cm.py is imported by cm.py, so the split should be
+       transparent.
+    2. Enabled automatic generation of a colormap from a list of colors in
+       contour; see modified examples/contour_demo.py.
+    3. Support for imshow of a masked array, with the ability to specify colors
+       (or no color at all) for masked regions, and for regions that are above
+       or below the normally mapped region.  See examples/image_masked.py.
+    4. In support of the above, added two new classes, ListedColormap, and
+       no_norm, to colors.py, and modified the Colormap class to include common
+       functionality. Added a clip kwarg to the normalize class.  Reworked
+       color handling in contour.py, especially in the ContourLabeller mixin.
+
+    - EF
+
+2005-11-25
+    Changed text.py to ensure color is hashable. EF
+
+--------------------------------
+
+2005-11-16
+    Released 0.85
+
+2005-11-16
+    Changed the default linewidth in rc to 1.0
+
+2005-11-16
+    Replaced agg_to_gtk_drawable with pure pygtk pixbuf code in backend_gtkagg.
+    When the equivalent is doe for blit, the agg extension code will no longer
+    be needed
+
+2005-11-16
+    Added a maxdict item to cbook to prevent caches from growing w/o bounds
+
+2005-11-15
+    Fixed a colorup/colordown reversal bug in finance.py -- Thanks Gilles
+
+2005-11-15
+    Applied Jouni K Steppanen's boxplot patch SF patch#1349997 - JDH
+
+2005-11-09
+    added axisbelow attr for Axes to determine whether ticks and such are above
+    or below the actors
+
+2005-11-08
+    Added Nicolas' irregularly spaced image patch
+
+2005-11-08
+    Deprecated HorizontalSpanSelector and replaced with SpanSelection that
+    takes a third arg, direction.  The new SpanSelector supports horizontal and
+    vertical span selection, and the appropriate min/max is returned. - CM
+
+2005-11-08
+    Added lineprops dialog for gtk
+
+2005-11-03
+    Added FIFOBuffer class to mlab to support real time feeds and
+    examples/fifo_buffer.py
+
+2005-11-01
+    Contributed Nickolas Young's patch for afm mathtext to support mathtext
+    based upon the standard postscript Symbol font when ps.usetex = True.
+
+2005-10-26
+    Added support for scatter legends - thanks John Gill
+
+2005-10-20
+    Fixed image clipping bug that made some tex labels disappear.   JDH
+
+2005-10-14
+    Removed sqrt from dvipng 1.6 alpha channel mask.
+
+2005-10-14
+    Added width kwarg to hist function
+
+2005-10-10
+    Replaced all instances of os.rename with shutil.move
+
+2005-10-05
+    Added Michael Brady's ydate patch
+
+2005-10-04
+    Added rkern's texmanager patch
+
+2005-09-25
+    contour.py modified to use a single ContourSet class that handles filled
+    contours, line contours, and labels; added keyword arg (clip_ends) to
+    contourf.  Colorbar modified to work with new ContourSet object; if the
+    ContourSet has lines rather than polygons, the colorbar will follow suit.
+    Fixed a bug introduced in 0.84, in which contourf(...,colors=...) was
+    broken - EF
+
+-------------------------------
+
+2005-09-19
+    Released 0.84
+
+2005-09-14
+    Added a new 'resize_event' which triggers a callback with a
+    backend_bases.ResizeEvent object - JDH
+
+2005-09-14
+    font_manager.py: removed chkfontpath from x11FontDirectory() - SC
+
+2005-09-14
+    Factored out auto date locator/formatter factory code into
+    matplotlib.date.date_ticker_factory; applies John Bryne's quiver patch.
+
+2005-09-13
+    Added Mark's axes positions history patch #1286915
+
+2005-09-09
+    Added support for auto canvas resizing with::
+
+        fig.set_figsize_inches(9,5,forward=True) # inches
+
+    OR::
+
+        fig.resize(400,300)  # pixels
+
+2005-09-07
+    figure.py: update Figure.draw() to use the updated renderer.draw_image() so
+    that examples/figimage_demo.py works again.  examples/stock_demo.py: remove
+    data_clipping (which no longer exists) - SC
+
+2005-09-06
+    Added Eric's tick.direction patch: in or out in rc
+
+2005-09-06
+    Added Martin's rectangle selector widget
+
+2005-09-04
+    Fixed a logic err in text.py that was preventing rgxsuper from matching -
+    JDH
+
+2005-08-29
+    Committed Ken's wx blit patch #1275002
+
+2005-08-26
+    colorbar modifications - now uses contourf instead of imshow so that colors
+    used by contourf are displayed correctly.  Added two new keyword args
+    (cspacing and clabels) that are only relevant for ContourMappable images -
+    JSWHIT
+
+2005-08-24
+    Fixed a PS image bug reported by Darren - JDH
+
+2005-08-23
+    colors.py: change hex2color() to accept unicode strings as well as normal
+    strings. Use isinstance() instead of types.IntType etc - SC
+
+2005-08-16
+    removed data_clipping line and rc property - JDH
+
+2005-08-22
+    backend_svg.py: Remove redundant "x=0.0 y=0.0" from svg element.  Increase
+    svg version from 1.0 to 1.1. Add viewBox attribute to svg element to allow
+    SVG documents to scale-to-fit into an arbitrary viewport - SC
+
+2005-08-16
+    Added Eric's dot marker patch - JDH
+
+2005-08-08
+    Added blitting/animation for TkAgg - CM
+
+2005-08-05
+    Fixed duplicate tickline bug - JDH
+
+2005-08-05
+    Fixed a GTK animation bug that cropped up when doing animations in
+    gtk//gtkagg canvases that had widgets packed above them
+
+2005-08-05
+    Added Clovis Goldemberg patch to the tk save dialog
+
+2005-08-04
+    Removed origin kwarg from backend.draw_image.  origin is handled entirely
+    by the frontend now.
+
+2005-07-03
+    Fixed a bug related to TeX commands in backend_ps
+
+2005-08-03
+    Fixed SVG images to respect upper and lower origins.
+
+2005-08-03
+    Added flipud method to image and removed it from to_str.
+
+2005-07-29
+    Modified figure.figaspect to take an array or number; modified backend_svg
+    to write utf-8 - JDH
+
+2005-07-30
+    backend_svg.py: embed png image files in svg rather than linking to a
+    separate png file, fixes bug #1245306 (thanks to Norbert Nemec for the
+    patch) - SC
+
+---------------------------
+
+2005-07-29
+    Released 0.83.2
+
+2005-07-27
+    Applied SF patch 1242648: minor rounding error in IndexDateFormatter in
+    dates.py
+
+2005-07-27
+    Applied sf patch 1244732: Scale axis such that circle looks like circle -
+    JDH
+
+2005-07-29
+    Improved message reporting in texmanager and backend_ps - DSD
+
+2005-07-28
+    backend_gtk.py: update FigureCanvasGTK.draw() (needed due to the recent
+    expose_event() change) so that examples/anim.py works in the usual way - SC
+
+2005-07-26
+    Added new widgets Cursor and HorizontalSpanSelector to matplotlib.widgets.
+    See examples/widgets/cursor.py and examples/widgets/span_selector.py - JDH
+
+2005-07-26
+    added draw event to mpl event hierarchy -- triggered on figure.draw
+
+2005-07-26
+    backend_gtk.py: allow 'f' key to toggle window fullscreen mode
+
+2005-07-26
+    backend_svg.py: write "<.../>" elements all on one line and remove surplus
+    spaces - SC
+
+2005-07-25
+    backend_svg.py: simplify code by deleting GraphicsContextSVG and
+    RendererSVG.new_gc(), and moving the gc.get_capstyle() code into
+    RendererSVG._get_gc_props_svg() - SC
+
+2005-07-24
+    backend_gtk.py: call FigureCanvasBase.motion_notify_event() on all
+    motion-notify-events, not just ones where a modifier key or button has been
+    pressed (fixes bug report from Niklas Volbers) - SC
+
+2005-07-24
+    backend_gtk.py: modify print_figure() use own pixmap, fixing problems where
+    print_figure() overwrites the display pixmap.  return False from all
+    button/key etc events - to allow the event to propagate further - SC
+
+2005-07-23
+    backend_gtk.py: change expose_event from using set_back_pixmap(); clear()
+    to draw_drawable() - SC
+
+2005-07-23
+    backend_gtk.py: removed pygtk.require() matplotlib/__init__.py: delete
+    'FROZEN' and 'McPLError' which are no longer used - SC
+
+2005-07-22
+    backend_gdk.py: removed pygtk.require() - SC
+
+2005-07-21
+    backend_svg.py: Remove unused imports. Remove methods doc strings which
+    just duplicate the docs from backend_bases.py. Rename draw_mathtext to
+    _draw_mathtext. - SC
+
+2005-07-17
+    examples/embedding_in_gtk3.py: new example demonstrating placing a
+    FigureCanvas in a gtk.ScrolledWindow - SC
+
+2005-07-14
+    Fixed a Windows related bug (#1238412) in texmanager - DSD
+
+2005-07-11
+    Fixed color kwarg bug, setting color=1 or 0 caused an exception - DSD
+
+2005-07-07
+    Added Eric's MA set_xdata Line2D fix - JDH
+
+2005-07-06
+    Made HOME/.matplotlib the new config dir where the matplotlibrc file, the
+    ttf.cache, and the tex.cache live.  The new default filenames in
+    .matplotlib have no leading dot and are not hidden.  e.g., the new names
+    are matplotlibrc tex.cache ttffont.cache.  This is how ipython does it so
+    it must be right.  If old files are found, a warning is issued and they are
+    moved to the new location.  Also fixed texmanager to put all files,
+    including temp files in ~/.matplotlib/tex.cache, which allows you to usetex
+    in non-writable dirs.
+
+2005-07-05
+    Fixed bug #1231611 in subplots adjust layout.  The problem was that the
+    text caching mechanism was not using the transformation affine in the key.
+    - JDH
+
+2005-07-05
+    Fixed default backend import problem when using API (SF bug # 1209354 -
+    see API_CHANGES for more info - JDH
+
+2005-07-04
+    backend_gtk.py: require PyGTK version 2.0.0 or higher - SC
+
+2005-06-30
+    setupext.py: added numarray_inc_dirs for building against numarray when not
+    installed in standard location - ADS
+
+2005-06-27
+    backend_svg.py: write figure width, height as int, not float.  Update to
+    fix some of the pychecker warnings - SC
+
+2005-06-23
+    Updated examples/agg_test.py to demonstrate curved paths and fills - JDH
+
+2005-06-21
+    Moved some texmanager and backend_agg tex caching to class level rather
+    than instance level - JDH
+
+2005-06-20
+    setupext.py: fix problem where _nc_backend_gdk is installed to the wrong
+    directory - SC
+
+2005-06-19
+    Added 10.4 support for CocoaAgg. - CM
+
+2005-06-18
+    Move Figure.get_width_height() to FigureCanvasBase and return int instead
+    of float. - SC
+
+2005-06-18
+    Applied Ted Drain's QtAgg patch: 1) Changed the toolbar to be a horizontal
+    bar of push buttons instead of a QToolbar and updated the layout algorithms
+    in the main window accordingly.  This eliminates the ability to drag and
+    drop the toolbar and detach it from the window.  2) Updated the resize
+    algorithm in the main window to show the correct size for the plot widget
+    as requested.  This works almost correctly right now.  It looks to me like
+    the final size of the widget is off by the border of the main window but I
+    haven't figured out a way to get that information yet.  We could just add a
+    small margin to the new size but that seems a little hacky.  3) Changed the
+    x/y location label to be in the toolbar like the Tk backend instead of as a
+    status line at the bottom of the widget.  4) Changed the toolbar pixmaps to
+    use the ppm files instead of the png files.  I noticed that the Tk backend
+    buttons looked much nicer and it uses the ppm files so I switched them.
+
+2005-06-17
+    Modified the gtk backend to not queue mouse motion events.  This allows for
+    live updates when dragging a slider. - CM
+
+2005-06-17
+    Added starter CocoaAgg backend.  Only works on OS 10.3 for now and requires
+    PyObjC.  (10.4 is high priority) - CM
+
+2005-06-17
+    Upgraded pyparsing and applied Paul McGuire's suggestions for speeding
+    things up.  This more than doubles the speed of mathtext in my simple
+    tests. JDH
+
+2005-06-16
+    Applied David Cooke's subplot make_key patch
+
+----------------------------------
+
+0.82 (2005-06-15)
+-----------------
+
+2005-06-15
+    Added subplot config tool to GTK* backends -- note you must now import the
+    NavigationToolbar2 from your backend of choice rather than from backend_gtk
+    because it needs to know about the backend specific canvas -- see
+    examples/embedding_in_gtk2.py.  Ditto for wx backend -- see
+    examples/embedding_in_wxagg.py
+
+2005-06-15
+    backend_cairo.py: updated to use pycairo 0.5.0 - SC
+
+2005-06-14
+    Wrote some GUI neutral widgets (Button, Slider, RadioButtons, CheckButtons)
+    in matplotlib.widgets.  See examples/widgets/\*.py - JDH
+
+2005-06-14
+    Exposed subplot parameters as rc vars and as the fig SubplotParams instance
+    subplotpars.  See figure.SubplotParams, figure.Figure.subplots_adjust and
+    the pylab method subplots_adjust and examples/subplots_adjust.py .  Also
+    added a GUI neutral widget for adjusting subplots, see
+    examples/subplot_toolbar.py - JDH
+
+2005-06-13
+    Exposed cap and join style for lines with new rc params and line properties::
+
+        lines.dash_joinstyle : miter        # miter|round|bevel
+        lines.dash_capstyle : butt          # butt|round|projecting
+        lines.solid_joinstyle : miter       # miter|round|bevel
+        lines.solid_capstyle : projecting   # butt|round|projecting
+
+
+2005-06-13
+    Added kwargs to Axes init
+
+2005-06-13
+    Applied Baptiste's tick patch - JDH
+
+2005-06-13
+    Fixed rc alias 'l' bug reported by Fernando by removing aliases for
+    mainlevel rc options. - JDH
+
+2005-06-10
+    Fixed bug #1217637 in ticker.py - DSD
+
+2005-06-07
+    Fixed a bug in texmanager.py: .aux files not being removed - DSD
+
+2005-06-08
+    Added Sean Richard's hist binning fix -- see API_CHANGES - JDH
+
+2005-06-07
+    Fixed a bug in texmanager.py: .aux files not being removed - DSD
+
+
+----------------------
+
+0.81 (2005-06-07)
+-----------------
+
+2005-06-06
+    Added autoscale_on prop to axes
+
+2005-06-06
+    Added Nick's picker "among" patch - JDH
+
+2005-06-05
+    Fixed a TeX/LaTeX font discrepancy in backend_ps. - DSD
+
+2005-06-05
+    Added a ps.distill option in rc settings. If True, postscript output will
+    be distilled using ghostscript, which should trim the file size and allow
+    it to load more quickly. Hopefully this will address the issue of large ps
+    files due to font definitions. Tested with gnu-ghostscript-8.16. - DSD
+
+2005-06-03
+    Improved support for tex handling of text in backend_ps. - DSD
+
+2005-06-03
+    Added rc options to render text with tex or latex, and to select the latex
+    font package. - DSD
+
+2005-06-03
+    Fixed a bug in ticker.py causing a ZeroDivisionError
+
+2005-06-02
+    backend_gtk.py remove DBL_BUFFER, add line to expose_event to try to fix
+    pygtk 2.6 redraw problem - SC
+
+2005-06-01
+    The default behavior of ScalarFormatter now renders scientific notation and
+    large numerical offsets in a label at the end of the axis. - DSD
+
+2005-06-01
+    Added Nicholas' frombyte image patch - JDH
+
+2005-05-31
+    Added vertical TeX support for agg - JDH
+
+2005-05-31
+    Applied Eric's cntr patch - JDH
+
+2005-05-27
+    Finally found the pesky agg bug (which Maxim was kind enough to fix within
+    hours) that was causing a segfault in the win32 cached marker drawing.  Now
+    windows users can get the enormous performance benefits of cached markers
+    w/o those occasional pesy screenshots. - JDH
+
+2005-05-27
+    Got win32 build system working again, using a more recent version of gtk
+    and pygtk in the win32 build, gtk 2.6 from
+    https://web.archive.org/web/20050527002647/https://www.gimp.org/~tml/gimp/win32/downloads.html
+    (you will also need libpng12.dll to use these).  I haven't tested whether
+    this binary build of mpl for win32 will work with older gtk runtimes, so
+    you may need to upgrade.
+
+2005-05-27
+    Fixed bug where 2nd wxapp could be started if using wxagg backend. - ADS
+
+2005-05-26
+    Added Daishi text with dash patch -- see examples/dashtick.py
+
+2005-05-26
+    Moved backend_latex functionality into backend_ps. If text.usetex=True, the
+    PostScript backend will use LaTeX to generate the .ps or .eps file.
+    Ghostscript is required for eps output. - DSD
+
+2005-05-24
+    Fixed alignment and color issues in latex backend. - DSD
+
+2005-05-21
+    Fixed raster problem for small rasters with dvipng -- looks like it was a
+    premultiplied alpha problem - JDH
+
+2005-05-20
+    Added linewidth and faceted kwarg to scatter to control edgewidth and
+    color.  Also added autolegend patch to inspect line segments.
+
+2005-05-18
+    Added Orsay and JPL qt fixes - JDH
+
+2005-05-17
+    Added a psfrag latex backend -- some alignment issues need to be worked
+    out. Run with -dLaTeX and a *.tex file and *.eps file are generated.  latex
+    and dvips the generated latex file to get ps output.  Note xdvi *does* not
+    work, you must generate ps.- JDH
+
+2005-05-13
+    Added Florent Rougon's Axis set_label1 patch
+
+2005-05-17
+    pcolor optimization, fixed bug in previous pcolor patch - JSWHIT
+
+2005-05-16
+    Added support for masked arrays in pcolor - JSWHIT
+
+
+2005-05-12
+    Started work on TeX text for antigrain using pngdvi -- see
+    examples/tex_demo.py and the new module matplotlib.texmanager.  Rotated
+    text not supported and rendering small glyphs is not working right yet.  But
+    large fontsizes and/or high dpi saved figs work great.
+
+2005-05-10
+    New image resize options interpolation options.  New values for the interp
+    kwarg are
+
+           'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36',
+           'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
+           'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc',
+           'lanczos', 'blackman'
+
+    See help(imshow) for details, particularly the interpolation, filternorm
+    and filterrad kwargs
+
+
+2005-05-10
+    Applied Eric's contour mem leak fixes - JDH
+
+2005-05-10
+    Extended python agg wrapper and started implementing backend_agg2, an agg
+    renderer based on the python wrapper.  This will be more flexible and
+    easier to extend than the current backend_agg.  See also
+    examples/agg_test.py - JDH
+
+2005-05-09
+    Added Marcin's no legend patch to exclude lines from the autolegend builder::
+
+           plot(x, y, label='nolegend')
+
+2005-05-05
+    Upgraded to agg23
+
+2005-05-05
+    Added newscalarformatter_demo.py to examples. -DSD
+
+2005-05-04
+    Added NewScalarFormatter. Improved formatting of ticklabels, scientific
+    notation, and the ability to plot large numbers with small ranges, by
+    determining a numerical offset.  See ticker.NewScalarFormatter for more
+    details. -DSD
+
+2005-05-03
+    Added the option to specify a delimiter in pylab.load -DSD
+
+2005-04-28
+    Added Darren's line collection example
+
+2005-04-28
+    Fixed aa property in agg - JDH
+
+2005-04-27
+    Set postscript page size in .matplotlibrc - DSD
+
+2005-04-26
+    Added embedding in qt example. - JDH
+
+2005-04-14
+    Applied Michael Brady's qt backend patch: 1) fix a bug where keyboard input
+    was grabbed by the figure and not released  2) turn on cursor changes  3)
+    clean up a typo and commented-out print statement. - JDH
+
+2005-04-14
+    Applied Eric Firing's masked data lines patch and contour patch.  Support
+    for masked arrays has been added to the plot command and to the Line2D
+    object.  Only the valid points are plotted.  A "valid_only" kwarg was added
+    to the get_xdata() and get_ydata() methods of Line2D; by default it is
+    False, so that the original data arrays are returned. Setting it to True
+    returns the plottable points.  - see examples/masked_demo.py - JDH
+
+2005-04-13
+    Applied Tim Leslie's arrow key event handling patch - JDH
+
+---------------------------
+
+0.80
+----
+
+2005-04-11
+    Applied a variant of rick's xlim/ylim/axis patch.  These functions now take
+    kwargs to let you selectively alter only the min or max if desired.  e.g.,
+    xlim(xmin=2) or axis(ymax=3).  They always return the new lim. - JDH
+
+
+2005-04-11
+    Incorporated Werner's wx patch -- wx backend should be compatible with
+    wxpython2.4 and recent versions of 2.5.  Some early versions of wxpython
+    2.5 will not work because there was a temporary change in the dc API that
+    was rolled back to make it 2.4 compliant
+
+2005-04-11
+    modified tkagg show so that new figure window pops up on call to figure
+
+2005-04-11
+    fixed wxapp init bug
+
+2005-04-02
+    updated backend_ps.draw_lines, draw_markers for use with the new API - DSD
+
+2005-04-01
+    Added editable polygon example
+
+------------------------------
+
+0.74 (2005-03-31)
+-----------------
+
+2005-03-30
+    Fixed and added checks for floating point inaccuracy in ticker.Base - DSD
+
+2005-03-30
+    updated /ellipse definition in backend_ps.py to address bug #1122041 - DSD
+
+2005-03-29
+    Added unicode support for Agg and PS - JDH
+
+2005-03-28
+    Added Jarrod's svg patch for text - JDH
+
+2005-03-28
+    Added Ludal's arrow and quiver patch - JDH
+
+2005-03-28
+    Added label kwarg to Axes to facilitate forcing the creation of new Axes
+    with otherwise identical attributes
+
+2005-03-28
+    Applied boxplot and OSX font search patches
+
+2005-03-27
+    Added ft2font NULL check to fix Japanese font bug - JDH
+
+2005-03-27
+    Added sprint legend patch plus John Gill's tests and fix -- see
+    examples/legend_auto.py  - JDH
+
+---------------------------
+
+0.73.1 (2005-03-19)
+-------------------
+
+2005-03-19
+    Reverted wxapp handling because it crashed win32 - JDH
+
+2005-03-18
+    Add .number attribute to figure objects returned by figure() - FP
+
+---------------------------
+
+0.73 (2005-03-18)
+-----------------
+
+2005-03-16
+    Fixed labelsep bug
+
+2005-03-16
+    Applied Darren's ticker fix for small ranges - JDH
+
+2005-03-16
+    Fixed tick on horiz colorbar - JDH
+
+2005-03-16
+    Added Japanese winreg patch - JDH
+
+2005-03-15
+    backend_gtkagg.py: changed to use double buffering, this fixes the problem
+    reported Joachim Berdal Haga - "Parts of plot lagging from previous frame
+    in animation". Tested with anim.py and it makes no noticeable difference to
+    performance (23.7 before, 23.6 after) - SC
+
+2005-03-14
+    add src/_backend_gdk.c extension to provide a substitute function for
+    pixbuf.get_pixels_array(). Currently pixbuf.get_pixels_array() only works
+    with Numeric, and then only works if pygtk has been compiled with Numeric
+    support. The change provides a function pixbuf_get_pixels_array() which
+    works with Numeric and numarray and is always available. It means that
+    backend_gtk should be able to display images and mathtext in all
+    circumstances. - SC
+
+2005-03-11
+    Upgraded CXX to 5.3.1
+
+2005-03-10
+    remove GraphicsContextPS.set_linestyle() and
+    GraphicsContextSVG.set_linestyle() since they do no more than the base
+    class GraphicsContext.set_linestyle() - SC
+
+2005-03-09
+    Refactored contour functionality into dedicated module
+
+2005-03-09
+    Added Eric's contourf updates and Nadia's clabel functionality
+
+2005-03-09
+    Moved colorbar to figure.Figure to expose it for API developers - JDH
+
+2005-03-09
+    backend_cairo.py: implemented draw_markers() - SC
+
+2005-03-09
+    cbook.py: only use enumerate() (the python version) if the builtin version
+    is not available.  Add new function 'izip' which is set to itertools.izip
+    if available and the python equivalent if not available. - SC
+
+2005-03-07
+    backend_gdk.py: remove PIXELS_PER_INCH from points_to_pixels(), but still
+    use it to adjust font sizes. This allows the GTK version of line_styles.py
+    to more closely match GTKAgg, previously the markers were being drawn too
+    large. - SC
+
+2005-03-01
+    Added Eric's contourf routines
+
+2005-03-01
+    Added start of proper agg SWIG wrapper.  I would like to expose agg
+    functionality directly a the user level and this module will serve that
+    purpose eventually, and will hopefully take over most of the functionality
+    of the current _image and _backend_agg modules.  - JDH
+
+2005-02-28
+    Fixed polyfit / polyval to convert input args to float arrays - JDH
+
+2005-02-25
+    Add experimental feature to backend_gtk.py to enable/disable double
+    buffering (DBL_BUFFER=True/False) - SC
+
+2005-02-24
+    colors.py change ColorConverter.to_rgb() so it always returns rgb (and not
+    rgba), allow cnames keys to be cached, change the exception raised from
+    RuntimeError to ValueError (like hex2color()) hex2color() use a regular
+    expression to check the color string is valid  - SC
+
+2005-02-23
+    Added rc param ps.useafm so backend ps can use native afm fonts or
+    truetype.  afme breaks mathtext but causes much smaller font sizes and may
+    result in images that display better in some contexts (e.g., pdfs
+    incorporated into latex docs viewed in acrobat reader).  I would like to
+    extend this approach to allow the user to use truetype only for mathtext,
+    which should be easy.
+
+2005-02-23
+    Used sequence protocol rather than tuple in agg collection drawing routines
+    for greater flexibility - JDH
+
+--------------------------------
+
+0.72.1 (2005-02-22)
+-------------------
+
+2005-02-21
+    fixed linestyles for collections -- contour now dashes for levels <0
+
+2005-02-21
+    fixed ps color bug - JDH
+
+2005-02-15
+    fixed missing qt file
+
+2005-02-15
+    banished error_msg and report_error.  Internal backend methods like
+    error_msg_gtk are preserved.  backend writers, check your backends, and
+    diff against 0.72 to make sure I did the right thing! - JDH
+
+2005-02-14
+    Added enthought traits to matplotlib tree - JDH
+
+------------------------
+
+0.72 (2005-02-14)
+-----------------
+
+2005-02-14
+    fix bug in cbook alltrue() and onetrue() - SC
+
+2005-02-11
+    updated qtagg backend from Ted - JDH
+
+2005-02-11
+    matshow fixes for figure numbering, return value and docs - FP
+
+2005-02-09
+    new zorder example for fine control in zorder_demo.py - FP
+
+2005-02-09
+    backend renderer draw_lines now has transform in backend, as in
+    draw_markers; use numerix in _backend_agg, added small line optimization to
+    agg
+
+2005-02-09
+    subplot now deletes axes that it overlaps
+
+2005-02-08
+    Added transparent support for gzipped files in load/save - Fernando Perez
+    (FP from now on).
+
+2005-02-08
+    Small optimizations in PS backend.  They may have a big impact for large
+    plots, otherwise they don't hurt  - FP
+
+2005-02-08
+    Added transparent support for gzipped files in load/save - Fernando Perez
+    (FP from now on).
+
+2005-02-07
+    Added newstyle path drawing for markers - only implemented in agg currently
+    - JDH
+
+2005-02-05
+    Some superscript text optimizations for ticking log plots
+
+2005-02-05
+    Added some default key press events to pylab figures: 'g' toggles grid -
+    JDH
+
+2005-02-05
+    Added some support for handling log switching for lines that have nonpos
+    data - JDH
+
+2005-02-04
+    Added Nadia's contour patch - contour now has matlab compatible syntax;
+    this also fixed an unequal sized contour array bug- JDH
+
+2005-02-04
+    Modified GTK backends to allow the FigureCanvas to be resized smaller than
+    its original size - SC
+
+2005-02-02
+    Fixed a bug in dates mx2num - JDH
+
+2005-02-02
+    Incorporated Fernando's matshow - JDH
+
+2005-02-01
+    Added Fernando's figure num patch, including experimental support for pylab
+    backend switching, LineCOllection.color warns, savefig now a figure method,
+    fixed a close(fig) bug - JDH
+
+2005-01-31
+    updated datalim in contour - JDH
+
+2005-01-30
+    Added backend_qtagg.py provided by Sigve Tjora - SC
+
+2005-01-28
+    Added tk.inspect rc param to .matplotlibrc.  IDLE users should set
+    tk.pythoninspect:True and interactive:True and backend:TkAgg
+
+2005-01-28
+    Replaced examples/interactive.py with an updated script from Fernando Perez
+    - SC
+
+2005-01-27
+    Added support for shared x or y axes.  See examples/shared_axis_demo.py and
+    examples/ganged_plots.py
+
+2005-01-27
+    Added Lee's patch for missing symbols \leq and \LEFTbracket to
+    _mathtext_data - JDH
+
+2005-01-26
+    Added Baptiste's two scales patch -- see help(twinx) in the pylab interface
+    for more info.  See also examples/two_scales.py
+
+2005-01-24
+    Fixed a mathtext parser bug that prevented font changes in sub/superscripts
+    - JDH
+
+2005-01-24
+    Fixed contour to work w/ interactive changes in colormaps, clim, etc - JDH
+
+-----------------------------
+
+0.71 (2005-01-21)
+-----------------
+
+2005-01-21
+    Refactored numerix to solve vexing namespace issues - JDH
+
+2005-01-21
+    Applied Nadia's contour bug fix - JDH
+
+2005-01-20
+    Made some changes to the contour routine - particularly region=1 seems t
+    fix a lot of the zigzag strangeness.  Added colormaps as default for
+    contour - JDH
+
+2005-01-19
+    Restored builtin names which were overridden (min, max, abs, round, and
+    sum) in pylab.  This is a potentially significant change for those who were
+    relying on an array version of those functions that previously overrode
+    builtin function names. - ADS
+
+2005-01-18
+    Added accents to mathtext: \hat, \breve, \grave, \bar, \acute, \tilde,
+    \vec, \dot, \ddot.  All of them have the same syntax, e.g., to make an
+    overbar you do \bar{o} or to make an o umlaut you do \ddot{o}. The
+    shortcuts are also provided, e.g., \"o \'e \`e \~n \.x \^y - JDH
+
+2005-01-18
+    Plugged image resize memory leaks - JDH
+
+2005-01-18
+    Fixed some mathtext parser problems relating to superscripts
+
+2005-01-17
+    Fixed a yticklabel problem for colorbars under change of clim - JDH
+
+2005-01-17
+    Cleaned up Destroy handling in wx reducing memleak/fig from approx 800k to
+    approx 6k- JDH
+
+2005-01-17
+    Added kappa to latex_to_bakoma - JDH
+
+2005-01-15
+    Support arbitrary colorbar axes and horizontal colorbars - JDH
+
+2005-01-15
+    Fixed colormap number of colors bug so that the colorbar has the same
+    discretization as the image - JDH
+
+2005-01-15
+    Added Nadia's x,y contour fix - JDH
+
+2005-01-15
+    backend_cairo: added PDF support which requires pycairo 0.1.4.  Its not
+    usable yet, but is ready for when the Cairo PDF backend matures - SC
+
+2005-01-15
+    Added Nadia's x,y contour fix
+
+2005-01-12
+    Fixed set clip_on bug in artist - JDH
+
+2005-01-11
+    Reverted pythoninspect in tkagg - JDH
+
+2005-01-09
+    Fixed a backend_bases event bug caused when an event is triggered when
+    location is None - JDH
+
+2005-01-07
+    Add patch from Stephen Walton to fix bug in pylab.load() when the %
+    character is included in a comment. - ADS
+
+2005-01-07
+    Added markerscale attribute to Legend class.  This allows the marker size
+    in the legend to be adjusted relative to that in the plot. - ADS
+
+2005-01-06
+    Add patch from Ben Vanhaeren to make the FigureManagerGTK vbox a public
+    attribute - SC
+
+----------------------------
+
+2004-12-30
+    Release 0.70
+
+2004-12-28
+    Added coord location to key press and added a examples/picker_demo.py
+
+2004-12-28
+    Fixed coords notification in wx toolbar - JDH
+
+2004-12-28
+    Moved connection and disconnection event handling to the FigureCanvasBase.
+    Backends now only need to connect one time for each of the button press,
+    button release and key press/release functions.  The base class deals with
+    callbacks and multiple connections.  This fixes flakiness on some backends
+    (tk, wx) in the presence of multiple connections and/or disconnect - JDH
+
+2004-12-27
+    Fixed PS mathtext bug where color was not set - Jochen please verify
+    correct - JDH
+
+2004-12-27
+    Added Shadow class and added shadow kwarg to legend and pie for shadow
+    effect - JDH
+
+2004-12-27
+    Added pie charts and new example/pie_demo.py
+
+2004-12-23
+    Fixed an agg text rotation alignment bug, fixed some text kwarg processing
+    bugs, and added examples/text_rotation.py to explain and demonstrate how
+    text rotations and alignment work in matplotlib. - JDH
+
+-----------------------
+
+0.65.1 (2004-12-22)
+-------------------
+
+2004-12-22
+    Fixed colorbar bug which caused colorbar not to respond to changes in
+    colormap in some instances - JDH
+
+2004-12-22
+    Refactored NavigationToolbar in tkagg to support app embedding , init now
+    takes (canvas, window) rather than (canvas, figman) - JDH
+
+2004-12-21
+    Refactored axes and subplot management - removed add_subplot and add_axes
+    from the FigureManager.  classic toolbar updates are done via an observer
+    pattern on the figure using add_axobserver.  Figure now maintains the axes
+    stack (for gca) and supports axes deletion.  Ported changes to GTK, Tk, Wx,
+    and FLTK.  Please test!  Added delaxes - JDH
+
+2004-12-21
+    Lots of image optimizations - 4x performance boost over 0.65 JDH
+
+2004-12-20
+    Fixed a figimage bug where the axes is shown and modified tkagg to move the
+    destroy binding into the show method.
+
+2004-12-18
+    Minor refactoring of NavigationToolbar2 to support embedding in an
+    application - JDH
+
+2004-12-14
+    Added linestyle to collections (currently broken) -  JDH
+
+2004-12-14
+    Applied Nadia's setupext patch to fix libstdc++ link problem with contour
+    and solaris  -JDH
+
+2004-12-14
+    A number of pychecker inspired fixes, including removal of True and False
+    from cbook which I erroneously thought was needed for python2.2 - JDH
+
+2004-12-14
+    Finished porting doc strings for set introspection.  Used silent_list for
+    many get funcs that return lists. JDH
+
+2004-12-13
+    dates.py: removed all timezone() calls, except for UTC - SC
+
+----------------------------
+
+0.65 (2004-12-13)
+-----------------
+
+2004-12-13
+    colors.py: rgb2hex(), hex2color() made simpler (and faster), also rgb2hex()
+    - added round() instead of integer truncation hex2color() - changed 256.0
+    divisor to 255.0, so now '#ffffff' becomes (1.0,1.0,1.0) not
+    (0.996,0.996,0.996) - SC
+
+2004-12-11
+    Added ion and ioff to pylab interface - JDH
+
+2004-12-11
+    backend_template.py: delete FigureCanvasTemplate.realize() - most backends
+    don't use it and its no longer needed
+
+    backend_ps.py, backend_svg.py: delete show() and draw_if_interactive() -
+    they are not needed for image backends
+
+    backend_svg.py: write direct to file instead of StringIO
+
+    - SC
+
+2004-12-10
+    Added zorder to artists to control drawing order of lines, patches and text
+    in axes.  See examples/zoder_demo.py - JDH
+
+2004-12-10
+    Fixed colorbar bug with scatter - JDH
+
+2004-12-10
+    Added Nadia Dencheva <dencheva@stsci.edu> contour code - JDH
+
+2004-12-10
+    backend_cairo.py: got mathtext working - SC
+
+2004-12-09
+    Added Norm Peterson's svg clipping patch
+
+2004-12-09
+    Added Matthew Newville's wx printing patch
+
+2004-12-09
+    Migrated matlab to pylab - JDH
+
+2004-12-09
+    backend_gtk.py: split into two parts
+
+    - backend_gdk.py - an image backend
+    - backend_gtk.py - A GUI backend that uses GDK - SC
+
+2004-12-08
+    backend_gtk.py: remove quit_after_print_xvfb(\*args), show_xvfb(),
+    Dialog_MeasureTool(gtk.Dialog) one month after sending mail to
+    matplotlib-users asking if anyone still uses these functions - SC
+
+2004-12-02
+    backend_bases.py, backend_template.py: updated some of the method
+    documentation to make them consistent with each other - SC
+
+2004-12-04
+    Fixed multiple bindings per event for TkAgg mpl_connect and mpl_disconnect.
+    Added a "test_disconnect" command line parameter to coords_demo.py  JTM
+
+2004-12-04
+    Fixed some legend bugs JDH
+
+2004-11-30
+    Added over command for oneoff over plots.  e.g., over(plot, x, y, lw=2).
+    Works with any plot function.
+
+2004-11-30
+    Added bbox property to text - JDH
+
+2004-11-29
+    Zoom to rect now respect reversed axes limits (for both linear and log
+    axes). - GL
+
+2004-11-29
+    Added the over command to the matlab interface.  over allows you to add an
+    overlay plot regardless of hold state. - JDH
+
+2004-11-25
+    Added Printf to mplutils for printf style format string formatting in C++
+    (should help write better exceptions)
+
+2004-11-24
+    IMAGE_FORMAT: remove from agg and gtkagg backends as its no longer used -
+    SC
+
+2004-11-23
+    Added matplotlib compatible set and get introspection.  See set_and_get.py
+
+2004-11-23
+    applied Norbert's patched and exposed legend configuration to kwargs - JDH
+
+2004-11-23
+    backend_gtk.py: added a default exception handler - SC
+
+2004-11-18
+    backend_gtk.py: change so that the backend knows about all image formats
+    and does not need to use IMAGE_FORMAT in other backends - SC
+
+2004-11-18
+    Fixed some report_error bugs in string interpolation as reported on SF bug
+    tracker- JDH
+
+2004-11-17
+    backend_gtkcairo.py: change so all print_figure() calls render using Cairo
+    and get saved using backend_gtk.print_figure() - SC
+
+2004-11-13
+    backend_cairo.py: Discovered the magic number (96) required for Cairo PS
+    plots to come out the right size. Restored Cairo PS output and added
+    support for landscape mode - SC
+
+2004-11-13
+    Added ishold - JDH
+
+2004-11-12
+    Added many new matlab colormaps - autumn bone cool copper flag gray hot hsv
+    jet pink prism spring summer winter - PG
+
+2004-11-11
+    greatly simplify the emitted postscript code - JV
+
+2004-11-12
+    Added new plotting functions spy, spy2 for sparse matrix visualization -
+    JDH
+
+2004-11-11
+    Added rgrids, thetragrids for customizing the grid locations and labels for
+    polar plots - JDH
+
+2004-11-11
+    make the Gtk backends build without an X-server connection - JV
+
+2004-11-10
+    matplotlib/__init__.py: Added FROZEN to signal we are running under py2exe
+    (or similar) - is used by backend_gtk.py - SC
+
+2004-11-09
+    backend_gtk.py: Made fix suggested by maffew@cat.org.au to prevent problems
+    when py2exe calls pygtk.require(). - SC
+
+2004-11-09
+    backend_cairo.py: Added support for printing to a fileobject.  Disabled
+    cairo PS output which is not working correctly. - SC
+
+----------------------------------
+
+0.64 (2004-11-08)
+-----------------
+
+2004-11-04
+    Changed -dbackend processing to only use known backends, so we don't
+    clobber other non-matplotlib uses of -d, like -debug.
+
+2004-11-04
+    backend_agg.py: added IMAGE_FORMAT to list the formats that the backend can
+    save to.  backend_gtkagg.py: added support for saving JPG files by using
+    the GTK backend - SC
+
+2004-10-31
+    backend_cairo.py: now produces png and ps files (although the figure sizing
+    needs some work). pycairo did not wrap all the necessary functions, so I
+    wrapped them myself, they are included in the backend_cairo.py doc string.
+    - SC
+
+2004-10-31
+    backend_ps.py: clean up the generated PostScript code, use the PostScript
+    stack to hold intermediate values instead of storing them in the dictionary.
+    - JV
+
+2004-10-30
+    backend_ps.py, ft2font.cpp, ft2font.h: fix the position of text in the
+    PostScript output.  The new FT2Font method get_descent gives the distance
+    between the lower edge of the bounding box and the baseline of a string.
+    In backend_ps the text is shifted upwards by this amount. - JV
+
+2004-10-30
+    backend_ps.py: clean up the code a lot.  Change the PostScript output to be
+    more DSC compliant.  All definitions for the generated PostScript are now
+    in a PostScript dictionary 'mpldict'.  Moved the long comment about drawing
+    ellipses from the PostScript output into a Python comment. - JV
+
+2004-10-30
+    backend_gtk.py: removed FigureCanvasGTK.realize() as its no longer needed.
+    Merged ColorManager into GraphicsContext backend_bases.py: For
+    set_capstyle/joinstyle() only set cap or joinstyle if there is no error. -
+    SC
+
+2004-10-30
+    backend_gtk.py: tidied up print_figure() and removed some of the dependency
+    on widget events - SC
+
+2004-10-28
+    backend_cairo.py: The renderer is complete except for mathtext,
+    draw_image() and clipping. gtkcairo works reasonably well. cairo does not
+    yet create any files since I can't figure how to set the 'target surface',
+    I don't think pycairo wraps the required functions - SC
+
+2004-10-28
+    backend_gtk.py: Improved the save dialog (GTK 2.4 only) so it presents the
+    user with a menu of supported image formats - SC
+
+2004-10-28
+    backend_svg.py: change print_figure() to restore original face/edge color
+    backend_ps.py : change print_figure() to ensure original face/edge colors
+    are restored even if there's an IOError - SC
+
+2004-10-27
+    Applied Norbert's errorbar patch to support barsabove kwarg
+
+2004-10-27
+    Applied Norbert's legend patch to support None handles
+
+2004-10-27
+    Added two more backends: backend_cairo.py, backend_gtkcairo.py They are not
+    complete yet, currently backend_gtkcairo just renders polygons, rectangles
+    and lines - SC
+
+2004-10-21
+    Added polar axes and plots - JDH
+
+2004-10-20
+    Fixed corrcoef bug exposed by corrcoef(X) where X is matrix - JDH
+
+2004-10-19
+    Added kwarg support to xticks and yticks to set ticklabel text properties
+    -- thanks to T. Edward Whalen for the suggestion
+
+2004-10-19
+    Added support for PIL images in imshow(), image.py - ADS
+
+2004-10-19
+    Re-worked exception handling in _image.py and _transforms.py to avoid
+    masking problems with shared libraries.  - JTM
+
+2004-10-16
+    Streamlined the matlab interface wrapper, removed the noplot option to hist
+    - just use mlab.hist instead.
+
+2004-09-30
+    Added Andrew Dalke's strftime code to extend the range of dates supported
+    by the DateFormatter - JDH
+
+2004-09-30
+    Added barh - JDH
+
+2004-09-30
+    Removed fallback to alternate array package from numerix so that
+    ImportErrors are easier to debug.  - JTM
+
+2004-09-30
+    Add GTK+ 2.4 support for the message in the toolbar. SC
+
+2004-09-30
+    Made some changes to support python22 - lots of doc fixes. - JDH
+
+2004-09-29
+    Added a Verbose class for reporting - JDH
+
+------------------------------------
+
+2004-09-28
+    Released 0.63.0
+
+2004-09-28
+    Added save to file object for agg - see examples/print_stdout.py
+
+2004-09-24
+    Reorganized all py code to lib subdir
+
+2004-09-24
+    Fixed axes resize image edge effects on interpolation - required upgrade to
+    agg22 which fixed an agg bug related to this problem
+
+2004-09-20
+    Added toolbar2 message display for backend_tkagg.  JTM
+
+2004-09-17
+    Added coords formatter attributes.  These must be callable, and return a
+    string for the x or y data. These will be used to format the x and y data
+    for the coords box.  Default is the axis major formatter.  e.g.::
+
+        # format the coords message box
+        def price(x): return '$%1.2f'%x
+        ax.format_xdata = DateFormatter('%Y-%m-%d')
+        ax.format_ydata = price
+
+2004-09-17
+    Total rewrite of dates handling to use python datetime with num2date,
+    date2num and drange.  pytz for timezone handling, dateutils for
+    spohisticated ticking.  date ranges from 0001-9999 are supported.  rrules
+    allow arbitrary date ticking.  examples/date_demo*.py converted to show new
+    usage.  new example examples/date_demo_rrule.py shows how to use rrules in
+    date plots.  The date locators are much more general and almost all of them
+    have different constructors.  See matplotlib.dates for more info.
+
+2004-09-15
+    Applied Fernando's backend __init__ patch to support easier backend
+    maintenance.  Added his numutils to mlab.  JDH
+
+2004-09-16
+    Re-designated all files in matplotlib/images as binary and w/o keyword
+    substitution using "cvs admin -kb \*.svg ...".  See binary files in "info
+    cvs" under Linux.  This was messing up builds from CVS on windows since CVS
+    was doing lf -> cr/lf and keyword substitution on the bitmaps.  - JTM
+
+2004-09-15
+    Modified setup to build array-package-specific extensions for those
+    extensions which are array-aware.  Setup builds extensions automatically
+    for either Numeric, numarray, or both, depending on what you have
+    installed.  Python proxy modules for the array-aware extensions import the
+    version optimized for numarray or Numeric determined by numerix.  - JTM
+
+2004-09-15
+    Moved definitions of infinity from mlab to numerix to avoid divide by zero
+    warnings for numarray - JTM
+
+2004-09-09
+    Added axhline, axvline, axhspan and axvspan
+
+-------------------------------
+
+0.62.4 (2004-08-30)
+-------------------
+
+2004-08-30
+    Fixed a multiple images with different extent bug, Fixed markerfacecolor as
+    RGB tuple
+
+2004-08-27
+    Mathtext now more than 5x faster.  Thanks to Paul Mcguire for fixes both to
+    pyparsing and to the matplotlib grammar!  mathtext broken on python2.2
+
+2004-08-25
+    Exposed Darren's and Greg's log ticking and formatting options to semilogx
+    and friends
+
+2004-08-23
+    Fixed grid w/o args to toggle grid state - JDH
+
+2004-08-11
+    Added Gregory's log patches for major and minor ticking
+
+2004-08-18
+    Some pixel edge effects fixes for images
+
+2004-08-18
+    Fixed TTF files reads in backend_ps on win32.
+
+2004-08-18
+    Added base and subs properties for logscale plots, user modifiable using
+    set_[x,y]scale('log',base=b,subs=[mt1,mt2,...]) - GL
+
+2004-08-18
+    fixed a bug exposed by trying to find the HOME dir on win32 thanks to Alan
+    Issac for pointing to the light - JDH
+
+2004-08-18
+    fixed errorbar bug in setting ecolor - JDH
+
+2004-08-12
+    Added Darren Dale's exponential ticking patch
+
+2004-08-11
+    Added Gregory's fltkagg backend
+
+------------------------------
+
+0.61.0 (2004-08-09)
+-------------------
+
+2004-08-08
+    backend_gtk.py: get rid of the final PyGTK deprecation warning by replacing
+    gtkOptionMenu with gtkMenu in the 2.4 version of the classic toolbar.
+
+2004-08-06
+    Added Tk zoom to rect rectangle, proper idle drawing, and keybinding - JDH
+
+2004-08-05
+    Updated installing.html and INSTALL - JDH
+
+2004-08-01
+    backend_gtk.py: move all drawing code into the expose_event()
+
+2004-07-28
+    Added Greg's toolbar2 and backend_*agg patches - JDH
+
+2004-07-28
+    Added image.imread with support for loading png into numerix arrays
+
+2004-07-28
+    Added key modifiers to events - implemented dynamic updates and rubber
+    banding for interactive pan/zoom - JDH
+
+2004-07-27
+    did a readthrough of SVG, replacing all the string additions with string
+    interps for efficiency, fixed some layout problems, added font and image
+    support (through external pngs) - JDH
+
+2004-07-25
+    backend_gtk.py: modify toolbar2 to make it easier to support GTK+ 2.4. Add
+    GTK+ 2.4 toolbar support. - SC
+
+2004-07-24
+    backend_gtk.py: Simplified classic toolbar creation - SC
+
+2004-07-24
+    Added images/matplotlib.svg to be used when GTK+ windows are minimised - SC
+
+2004-07-22
+    Added right mouse click zoom for NavigationToolbar2 panning mode. - JTM
+
+2004-07-22
+    Added NavigationToolbar2 support to backend_tkagg.  Minor tweak to
+    backend_bases.  - JTM
+
+2004-07-22
+    Incorporated Gergory's renderer cache and buffer object cache - JDH
+
+2004-07-22
+    Backend_gtk.py: Added support for GtkFileChooser, changed
+    FileSelection/FileChooser so that only one instance pops up, and made them
+    both modal. - SC
+
+2004-07-21
+    Applied backend_agg memory leak patch from hayden - jocallo@online.no.
+    Found and fixed a leak in binary operations on transforms.  Moral of the
+    story: never incref where you meant to decref!  Fixed several leaks in
+    ft2font: moral of story: almost always return Py::asObject over Py::Object
+    - JDH
+
+2004-07-21
+    Fixed a to string memory allocation bug in agg and image modules - JDH
+
+2004-07-21
+    Added mpl_connect and mpl_disconnect to matlab interface - JDH
+
+2004-07-21
+    Added beginnings of users_guide to CVS - JDH
+
+2004-07-20
+    ported toolbar2 to wx
+
+2004-07-20
+    upgraded to agg21 - JDH
+
+2004-07-20
+    Added new icons for toolbar2 - JDH
+
+2004-07-19
+    Added vertical mathtext for \*Agg and GTK - thanks Jim Benson! - JDH
+
+2004-07-16
+    Added ps/eps/svg savefig options to wx and gtk JDH
+
+2004-07-15
+    Fixed python framework tk finder in setupext.py - JDH
+
+2004-07-14
+    Fixed layer images demo which was broken by the 07/12 image extent fixes -
+    JDH
+
+2004-07-13
+    Modified line collections to handle arbitrary length segments for each line
+    segment. - JDH
+
+2004-07-13
+    Fixed problems with image extent and origin - set_image_extent deprecated.
+    Use imshow(blah, blah, extent=(xmin, xmax, ymin, ymax) instead  - JDH
+
+2004-07-12
+    Added prototype for new nav bar with codified event handling.  Use
+    mpl_connect rather than connect for matplotlib event handling.  toolbar
+    style determined by rc toolbar param.  backend status: gtk: prototype, wx:
+    in progress, tk: not started - JDH
+
+2004-07-11
+    backend_gtk.py: use builtin round() instead of redefining it.  - SC
+
+2004-07-10
+    Added embedding_in_wx3 example - ADS
+
+2004-07-09
+    Added dynamic_image_wxagg to examples - ADS
+
+2004-07-09
+    added support for embedding TrueType fonts in PS files - PEB
+
+2004-07-09
+    fixed a sfnt bug exposed if font cache is not built
+
+2004-07-09
+    added default arg None to matplotlib.matlab grid command to toggle current
+    grid state
+
+---------------------
+
+0.60.2 (2004-07-08)
+-------------------
+
+2004-07-08
+    fixed a mathtext bug for '6'
+
+2004-07-08
+    added some numarray bug workarounds
+
+--------------------------
+
+0.60 (2004-07-07)
+-----------------
+
+2004-07-07
+    Fixed a bug in dynamic_demo_wx
+
+2004-07-07
+    backend_gtk.py: raise SystemExit immediately if 'import pygtk' fails - SC
+
+2004-07-05
+    Added new mathtext commands \over{sym1}{sym2} and \under{sym1}{sym2}
+
+2004-07-05
+    Unified image and patch collections colormapping and scaling args.  Updated
+    docstrings for all - JDH
+
+2004-07-05
+    Fixed a figure legend bug and added examples/figlegend_demo.py - JDH
+
+2004-07-01
+    Fixed a memory leak in image and agg to string methods
+
+2004-06-25
+    Fixed fonts_demo spacing problems and added a kwargs version of the
+    fonts_demo fonts_demo_kw.py - JDH
+
+2004-06-25
+    finance.py: handle case when urlopen() fails - SC
+
+2004-06-24
+    Support for multiple images on axes and figure, with blending.  Support for
+    upper and lower image origins.  clim, jet and gray functions in matlab
+    interface operate on current image - JDH
+
+2004-06-23
+    ported code to Perry's new colormap and norm scheme.  Added new rc
+    attributes image.aspect, image.interpolation, image.cmap, image.lut,
+    image.origin
+
+2004-06-20
+    backend_gtk.py: replace gtk.TRUE/FALSE with True/False.  simplified
+    _make_axis_menu(). - SC
+
+2004-06-19
+    anim_tk.py: Updated to use TkAgg by default (not GTK) backend_gtk_py: Added
+    '_' in front of private widget creation functions - SC
+
+2004-06-17
+    backend_gtk.py: Create a GC once in realise(), not every time draw() is
+    called. - SC
+
+2004-06-16
+    Added new py2exe FAQ entry and added frozen support in get_data_path for
+    py2exe - JDH
+
+2004-06-16
+    Removed GTKGD, which was always just a proof-of-concept backend - JDH
+
+2004-06-16
+    backend_gtk.py updates to replace deprecated functions gtk.mainquit(),
+    gtk.mainloop().  Update NavigationToolbar to use the new GtkToolbar API -
+    SC
+
+2004-06-15
+    removed set_default_font from font_manager to unify font customization
+    using the new function rc.  See API_CHANGES for more info.  The examples
+    fonts_demo.py and fonts_demo_kw.py are ported to the new API - JDH
+
+2004-06-15
+    Improved (yet again!) axis scaling to properly handle singleton plots - JDH
+
+2004-06-15
+    Restored the old FigureCanvasGTK.draw() - SC
+
+2004-06-11
+    More memory leak fixes in transforms and ft2font - JDH
+
+2004-06-11
+    Eliminated numerix .numerix file and environment variable NUMERIX.  Fixed
+    bug which prevented command line overrides: --numarray or --numeric. - JTM
+
+2004-06-10
+    Added rc configuration function rc; deferred all rc param setting until
+    object creation time; added new rc attrs: lines.markerfacecolor,
+    lines.markeredgecolor, lines.markeredgewidth, patch.linewidth,
+    patch.facecolor, patch.edgecolor, patch.antialiased; see
+    examples/customize_rc.py for usage - JDH
+
+---------------------------------------------------------------
+
+0.54.2 (2004-06-09)
+-------------------
+
+2004-06-08
+    Rewrote ft2font using CXX as part of general memory leak fixes; also fixed
+    transform memory leaks  - JDH
+
+2004-06-07
+    Fixed several problems with log ticks and scaling - JDH
+
+2004-06-07
+    Fixed width/height issues for images - JDH
+
+2004-06-03
+    Fixed draw_if_interactive bug for semilogx;
+
+2004-06-02
+    Fixed text clipping to clip to axes - JDH
+
+2004-06-02
+    Fixed leading newline text and multiple newline text - JDH
+
+2004-06-02
+    Fixed plot_date to return lines - JDH
+
+2004-06-01
+    Fixed plot to work with x or y having shape N,1 or 1,N - JDH
+
+2004-05-31
+    Added renderer markeredgewidth attribute of Line2D. - ADS
+
+2004-05-29
+    Fixed tick label clipping to work with navigation.
+
+2004-05-28
+    Added renderer grouping commands to support groups in
+           SVG/PS. - JDH
+
+2004-05-28
+    Fixed, this time I really mean it, the singleton plot plot([0]) scaling
+    bug; Fixed Flavio's shape = N,1 bug - JDH
+
+2004-05-28
+    added colorbar - JDH
+
+2004-05-28
+    Made some changes to the matplotlib.colors.Colormap to properly support
+    clim - JDH
+
+-----------------------------------------------------------------
+
+0.54.1 (2004-05-27)
+-------------------
+
+2004-05-27
+    Lots of small bug fixes: rotated text at negative angles, errorbar capsize
+    and autoscaling, right tick label position, gtkagg on win98, alpha of
+    figure background, singleton plots - JDH
+
+2004-05-26
+    Added Gary's errorbar stuff and made some fixes for length one plots and
+    constant data plots - JDH
+
+2004-05-25
+    Tweaked TkAgg backend so that canvas.draw() works more like the other
+    backends.  Fixed a bug resulting in 2 draws per figure manager show().
+    - JTM
+
+------------------------------------------------------------
+
+0.54 (2004-05-19)
+-----------------
+
+2004-05-18
+    Added newline separated text with rotations to text.Text layout - JDH
+
+2004-05-16
+    Added fast pcolor using PolyCollections.  - JDH
+
+2004-05-14
+    Added fast polygon collections - changed scatter to use them.  Added
+    multiple symbols to scatter.  10x speedup on large scatters using \*Agg and
+    5X speedup for ps. - JDH
+
+2004-05-14
+    On second thought... created an "nx" namespace in numerix which maps
+    type names onto typecodes the same way for both numarray and Numeric.  This
+    undoes my previous change immediately below. To get a typename for Int16
+    usable in a Numeric extension: say nx.Int16. - JTM
+
+2004-05-15
+    Rewrote transformation class in extension code, simplified all the artist
+    constructors - JDH
+
+2004-05-14
+    Modified the type definitions in the numarray side of numerix so that they
+    are Numeric typecodes and can be used with Numeric compilex extensions.
+    The original numarray types were renamed to type<old_name>.    - JTM
+
+2004-05-06
+    Gary Ruben sent me a bevy of new plot symbols and markers.  See
+    matplotlib.matlab.plot - JDH
+
+2004-05-06
+    Total rewrite of mathtext - factored ft2font stuff out of layout engine and
+    defined abstract class for font handling to lay groundwork for ps mathtext.
+    Rewrote parser and made layout engine much more precise.  Fixed all the
+    layout hacks.  Added spacing commands \/ and \hspace.  Added composite
+    chars and defined angstrom. - JDH
+
+2004-05-05
+    Refactored text instances out of backend; aligned text with arbitrary
+    rotations is now supported - JDH
+
+2004-05-05
+    Added a Matrix capability for numarray to numerix.  JTM
+
+2004-05-04
+    Updated whats_new.html.template to use dictionary and template loop, added
+    anchors for all versions and items; updated goals.txt to use those for
+    links. PG
+
+2004-05-04
+    Added fonts_demo.py to backend_driver, and AFM and TTF font caches to
+    font_manager.py - PEB
+
+2004-05-03
+    Redid goals.html.template to use a goals.txt file that has a pseudo
+    restructured text organization. PG
+
+2004-05-03
+    Removed the close buttons on all GUIs and added the python #! bang line to
+    the examples following Steve Chaplin's advice on matplotlib dev
+
+2004-04-29
+    Added CXX and rewrote backend_agg using it; tracked down and fixed agg
+    memory leak - JDH
+
+2004-04-29
+    Added stem plot command - JDH
+
+2004-04-28
+    Fixed PS scaling and centering bug - JDH
+
+2004-04-26
+    Fixed errorbar autoscale problem - JDH
+
+2004-04-22
+    Fixed copy tick attribute bug, fixed singular datalim ticker bug; fixed
+    mathtext fontsize interactive bug. - JDH
+
+2004-04-21
+    Added calls to draw_if_interactive to axes(), legend(), and pcolor().
+    Deleted duplicate pcolor(). - JTM
+
+------------------------------------------------------------
+
+2004-04-21
+    matplotlib 0.53 release
+
+2004-04-19
+    Fixed vertical alignment bug in PS backend - JDH
+
+2004-04-17
+    Added support for two scales on the "same axes" with tick different ticking
+    and labeling left right or top bottom.  See examples/two_scales.py - JDH
+
+2004-04-17
+    Added default dirs as list rather than single dir in setupext.py - JDH
+
+2004-04-16
+    Fixed wx exception swallowing bug (and there was much rejoicing!) - JDH
+
+2004-04-16
+    Added new ticker locator a formatter, fixed default font return - JDH
+
+2004-04-16
+    Added get_name method to FontProperties class. Fixed font lookup in GTK and
+    WX backends. - PEB
+
+2004-04-16
+    Added get- and set_fontstyle methods. - PEB
+
+2004-04-10
+    Mathtext fixes: scaling with dpi,  - JDH
+
+2004-04-09
+    Improved font detection algorithm. - PEB
+
+2004-04-09
+    Move deprecation warnings from text.py to __init__.py - PEB
+
+2004-04-09
+    Added default font customization - JDH
+
+2004-04-08
+    Fixed viewlim set problem on axes and axis. - JDH
+
+2004-04-07
+    Added validate_comma_sep_str and font properties parameters to __init__.
+    Removed font families and added rcParams to FontProperties __init__
+    arguments in font_manager.  Added default font property parameters to
+    .matplotlibrc file with descriptions.  Added deprecation warnings to the
+    get\_ - and set_fontXXX methods of the Text object. - PEB
+
+2004-04-06
+    Added load and save commands for ASCII data - JDH
+
+2004-04-05
+    Improved font caching by not reading AFM fonts until needed.  Added better
+    documentation.  Changed the behaviour of the get_family, set_family, and
+    set_name methods of FontProperties.  - PEB
+
+2004-04-05
+    Added WXAgg backend - JDH
+
+2004-04-04
+    Improved font caching in backend_agg with changes to font_manager - JDH
+
+2004-03-29
+    Fixed fontdicts and kwargs to work with new font manager - JDH
+
+--------------------------------------------
+
+This is the Old, stale, never used changelog
+
+2002-12-10
+    - Added a TODO file and CHANGELOG.  Lots to do -- get crackin'!
+
+    - Fixed y zoom tool bug
+
+    - Adopted a compromise fix for the y data clipping problem.  The problem
+      was that for solid lines, the y data clipping (as opposed to the gc
+      clipping) caused artifactual horizontal solid lines near the ylim
+      boundaries.  I did a 5% offset hack in Axes set_ylim functions which
+      helped, but didn't cure the problem for very high gain y zooms.  So I
+      disabled y data clipping for connected lines .  If you need extensive y
+      clipping, either plot(y,x) because x data clipping is always enabled, or
+      change the _set_clip code to 'if 1' as indicated in the lines.py src.
+      See _set_clip in lines.py and set_ylim in figure.py for more information.
+
+2002-12-11
+    - Added a measurement dialog to the figure window to measure axes position
+      and the delta x delta y with a left mouse drag.  These defaults can be
+      overridden by deriving from Figure and overriding button_press_event,
+      button_release_event, and motion_notify_event, and _dialog_measure_tool.
+
+    - fixed the navigation dialog so you can check the axes the navigation
+      buttons apply to.
+
+2003-04-23
+    Released matplotlib v0.1
+
+2003-04-24
+    Added a new line style PixelLine2D which is the plots the markers as pixels
+    (as small as possible) with format symbol ','
+
+    Added a new class Patch with derived classes Rectangle, RegularPolygon and
+    Circle
+
+2003-04-25
+    Implemented new functions errorbar, scatter and hist
+
+    Added a new line type '|' which is a vline.  syntax is plot(x, Y, '|')
+    where y.shape = len(x),2 and each row gives the ymin,ymax for the
+    respective values of x.  Previously I had implemented vlines as a list of
+    lines, but I needed the efficiency of the numeric clipping for large
+    numbers of vlines outside the viewport, so I wrote a dedicated class
+    Vline2D which derives from Line2D
+
+2003-05-01
+    Fixed ytick bug where grid and tick show outside axis viewport with gc clip
+
+2003-05-14
+    Added new ways to specify colors 1) matlab format string 2) html-style hex
+    string, 3) rgb tuple.  See examples/color_demo.py
+
+2003-05-28
+    Changed figure rendering to draw form a pixmap to reduce flicker.  See
+    examples/system_monitor.py for an example where the plot is continuously
+    updated w/o flicker.  This example is meant to simulate a system monitor
+    that shows free CPU, RAM, etc...
+
+2003-08-04
+    Added Jon Anderson's GTK shell, which doesn't require pygtk to have
+    threading built-in and looks nice!
+
+2003-08-25
+    Fixed deprecation warnings for python2.3 and pygtk-1.99.18
+
+2003-08-26
+    Added figure text with new example examples/figtext.py
+
+2003-08-27
+    Fixed bugs in figure text with font override dictionaries and fig text that
+    was placed outside the window bounding box
+
+2003-09-01 through 2003-09-15
+    Added a postscript and a GD module backend
+
+2003-09-16
+    Fixed font scaling and point scaling so circles, squares, etc on lines will
+    scale with DPI as will fonts.  Font scaling is not fully implemented on the
+    gtk backend because I have not figured out how to scale fonts to arbitrary
+    sizes with GTK
+
+2003-09-17
+    Fixed figure text bug which crashed X windows on long figure text extending
+    beyond display area.  This was, I believe, due to the vestigial erase
+    functionality that was no longer needed since I began rendering to a pixmap
+
+2003-09-30
+    Added legend
+
+2003-10-01
+    Fixed bug when colors are specified with rgb tuple or hex string.
+
+2003-10-21
+    Andrew Straw provided some legend code which I modified and incorporated.
+    Thanks Andrew!
+
+2003-10-27
+    Fixed a bug in axis.get_view_distance that affected zoom in versus out with
+    interactive scrolling, and a bug in the axis text reset system that
+    prevented the text from being redrawn on a interactive gtk view lim set
+    with the widget
+
+    Fixed a bug in that prevented the manual setting of ticklabel strings from
+    working properly
+
+2003-11-02
+    - Do a nearest neighbor color pick on GD when allocate fails
+
+2003-11-02
+    - Added pcolor plot
+    - Added MRI example
+    - Fixed bug that screwed up label position if xticks or yticks were empty
+    - added nearest neighbor color picker when GD max colors exceeded
+    - fixed figure background color bug in GD backend
+
+2003-11-10 - 2003-11-11
+    major refactoring.
+
+    * Ticks (with labels, lines and grid) handled by dedicated class
+    * Artist now know bounding box and dpi
+    * Bounding boxes and transforms handled by dedicated classes
+    * legend in dedicated class.  Does a better job of alignment and bordering.
+      Can be initialized with specific line instances.  See
+      examples/legend_demo2.py
+
+2003-11-14
+    Fixed legend positioning bug and added new position args
+
+2003-11-16
+    Finished porting GD to new axes API
+
+2003-11-20
+    - add TM for matlab on website and in docs
+
+2003-11-20
+    - make a nice errorbar and scatter screenshot
+
+2003-11-20
+    - auto line style cycling for multiple line types broken
+
+2003-11-18
+    (using inkrect) :logical rect too big on gtk backend
+
+2003-11-18
+    ticks don't reach edge of axes in gtk mode -- rounding error?
+
+2003-11-20
+    - port Gary's errorbar code to new API before 0.40
+
+2003-11-20
+    - problem with stale _set_font.  legend axes box doesn't resize on save in
+      GTK backend -- see htdocs legend_demo.py
+
+2003-11-21
+    - make a dash-dot dict for the GC
+
+2003-12-15
+    - fix install path bug
diff --git a/doc/users/prev_whats_new/dflt_style_changes.rst b/doc/users/prev_whats_new/dflt_style_changes.rst
new file mode 100644
index 000000000000..a833064b573b
--- /dev/null
+++ b/doc/users/prev_whats_new/dflt_style_changes.rst
@@ -0,0 +1,1232 @@
+.. redirect-from:: /users/dflt_style_changes
+
+==============================
+ Changes to the default style
+==============================
+
+The most important changes in matplotlib 2.0 are the changes to the
+default style.
+
+While it is impossible to select the best default for all cases, these
+are designed to work well in the most common cases.
+
+A 'classic' style sheet is provided so reverting to the 1.x default
+values is a single line of python
+
+.. code-block:: python
+
+  import matplotlib.style
+  import matplotlib as mpl
+  mpl.style.use('classic')
+
+See :ref:`customizing-with-matplotlibrc-files` for details about how to
+persistently and selectively revert many of these changes.
+
+
+.. contents:: Table of Contents
+   :depth: 2
+   :local:
+   :backlinks: entry
+
+
+
+Colors, color cycles, and colormaps
+===================================
+
+Colors in default property cycle
+--------------------------------
+
+The colors in the default property cycle have been changed from
+``['b', 'g', 'r', 'c', 'm', 'y', 'k']`` to the category10
+color palette used by `Vega
+<https://github.com/vega/vega/wiki/Scales#scale-range-literals>`__ and
+`d3
+<https://github.com/d3/d3-3.x-api-reference/blob/master/Ordinal-Scales.md#category10>`__
+originally developed at Tableau.
+
+
+.. plot::
+
+  import numpy as np
+  import matplotlib.pyplot as plt
+
+  th = np.linspace(0, 2*np.pi, 512)
+
+  fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3))
+
+
+  def color_demo(ax, colors, title):
+      ax.set_title(title)
+      for j, c in enumerate(colors):
+          v_offset = -(j / len(colors))
+          ax.plot(th, .1*np.sin(th) + v_offset, color=c)
+          ax.annotate("'C{}'".format(j), (0, v_offset),
+                      xytext=(-1.5, 0),
+                      ha='right',
+                      va='center',
+                      color=c,
+                      textcoords='offset points',
+                      family='monospace')
+
+          ax.annotate("{!r}".format(c), (2*np.pi, v_offset),
+                      xytext=(1.5, 0),
+                      ha='left',
+                      va='center',
+                      color=c,
+                      textcoords='offset points',
+                      family='monospace')
+      ax.axis('off')
+
+  old_colors = ['b', 'g', 'r', 'c', 'm', 'y', 'k']
+
+  new_colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728',
+                '#9467bd', '#8c564b', '#e377c2', '#7f7f7f',
+                '#bcbd22', '#17becf']
+
+  color_demo(ax1, old_colors, 'classic')
+  color_demo(ax2, new_colors, 'v2.0')
+
+  fig.subplots_adjust(**{'bottom': 0.0, 'left': 0.059,
+                         'right': 0.869, 'top': 0.895})
+
+In addition to changing the colors, an additional method to specify
+colors was added.  Previously, the default colors were the single
+character short-hand notations for red, green, blue, cyan, magenta,
+yellow, and black.  This made them easy to type and usable in the
+abbreviated style string in ``plot``, however the new default colors
+are only specified via hex values.  To access these colors outside of
+the property cycling the notation for colors ``'CN'``, where ``N``
+takes values 0-9, was added to
+denote the first 10 colors in :rc:`axes.prop_cycle`. See
+:ref:`colors_def` for more details.
+
+To restore the old color cycle use
+
+.. code-block:: python
+
+   from cycler import cycler
+   mpl.rcParams['axes.prop_cycle'] = cycler(color='bgrcmyk')
+
+or set
+
+.. code-block:: cfg
+
+   axes.prop_cycle    : cycler('color', 'bgrcmyk')
+
+in your :file:`matplotlibrc` file.
+
+
+Colormap
+--------
+
+The new default colormap used by `matplotlib.cm.ScalarMappable` instances is
+'viridis' (aka `option D <https://bids.github.io/colormap/>`__).
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+
+   N = M = 200
+   X, Y = np.ogrid[0:20:N*1j, 0:20:M*1j]
+   data = np.sin(np.pi * X*2 / 20) * np.cos(np.pi * Y*2 / 20)
+
+   fig, (ax2, ax1) = plt.subplots(1, 2, figsize=(7, 3))
+   im = ax1.imshow(data, extent=[0, 200, 0, 200])
+   ax1.set_title("v2.0: 'viridis'")
+   fig.colorbar(im, ax=ax1, shrink=0.8)
+
+   im2 = ax2.imshow(data, extent=[0, 200, 0, 200], cmap='jet')
+   fig.colorbar(im2, ax=ax2, shrink=0.8)
+   ax2.set_title("classic: 'jet'")
+
+   fig.tight_layout()
+
+For an introduction to color theory and how 'viridis' was generated
+watch Nathaniel Smith and Stéfan van der Walt's talk from SciPy2015.
+See `here for many more details <https://bids.github.io/colormap/>`__
+about the other alternatives and the tools used to create the color
+map.  For details on all of the colormaps available in matplotlib see
+:ref:`colormaps`.
+
+.. raw:: html
+
+    <iframe width="560" height="315" src="https://www.youtube.com/embed/xAoljeRJ3lU" frameborder="0" allowfullscreen></iframe>
+
+
+The previous default can be restored using
+
+.. code-block:: python
+
+   mpl.rcParams['image.cmap'] = 'jet'
+
+or setting
+
+.. code-block:: cfg
+
+   image.cmap    : 'jet'
+
+in your :file:`matplotlibrc` file; however this is strongly discouraged.
+
+Interactive figures
+-------------------
+
+The default interactive figure background color has changed from grey
+to white, which matches the default background color used when saving.
+
+The previous defaults can be restored by ::
+
+   mpl.rcParams['figure.facecolor'] = '0.75'
+
+or by setting ::
+
+
+    figure.facecolor : '0.75'
+
+in your :file:`matplotlibrc` file.
+
+
+Grid lines
+----------
+
+The default style of grid lines was changed from black dashed lines to thicker
+solid light grey lines.
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3))
+
+   ax1.grid(color='k', linewidth=.5, linestyle=':')
+   ax1.set_title('classic')
+
+   ax2.grid()
+   ax2.set_title('v2.0')
+
+The previous default can be restored by using::
+
+   mpl.rcParams['grid.color'] = 'k'
+   mpl.rcParams['grid.linestyle'] = ':'
+   mpl.rcParams['grid.linewidth'] = 0.5
+
+or by setting::
+
+   grid.color       :   k       # grid color
+   grid.linestyle   :   :       # dotted
+   grid.linewidth   :   0.5     # in points
+
+in your :file:`matplotlibrc` file.
+
+
+Figure size, font size, and screen dpi
+======================================
+
+The default dpi used for on-screen display was changed from 80 dpi to
+100 dpi, the same as the default dpi for saving files.  Due to this
+change, the on-screen display is now more what-you-see-is-what-you-get
+for saved files.  To keep the figure the same size in terms of pixels, in
+order to maintain approximately the same size on the screen, the
+default figure size was reduced from 8x6 inches to 6.4x4.8 inches.  As
+a consequence of this the default font sizes used for the title, tick
+labels, and axes labels were reduced to maintain their size relative
+to the overall size of the figure.  By default the dpi of the saved
+image is now the dpi of the `~matplotlib.figure.Figure` instance being
+saved.
+
+This will have consequences if you are trying to match text in a
+figure directly with external text.
+
+
+The previous defaults can be restored by ::
+
+   mpl.rcParams['figure.figsize'] = [8.0, 6.0]
+   mpl.rcParams['figure.dpi'] = 80
+   mpl.rcParams['savefig.dpi'] = 100
+
+   mpl.rcParams['font.size'] = 12
+   mpl.rcParams['legend.fontsize'] = 'large'
+   mpl.rcParams['figure.titlesize'] = 'medium'
+
+or by setting::
+
+   figure.figsize   : [8.0, 6.0]
+   figure.dpi       : 80
+   savefig.dpi      : 100
+
+   font.size        : 12.0
+   legend.fontsize  : 'large'
+   figure.titlesize : 'medium'
+
+In your :file:`matplotlibrc` file.
+
+In addition, the ``forward`` kwarg to
+`~.Figure.set_size_inches` now defaults to `True` to improve
+the interactive experience.  Backend canvases that adjust the size of
+their bound `matplotlib.figure.Figure` must pass ``forward=False`` to
+avoid circular behavior.  This default is not configurable.
+
+
+Plotting functions
+==================
+
+``scatter``
+-----------
+
+The following changes were made to the default behavior of
+`~matplotlib.axes.Axes.scatter`
+
+- The default size of the elements in a scatter plot is now based on
+  :rc:`lines.markersize` so it is consistent with ``plot(X,
+  Y, 'o')``.  The old value was 20, and the new value is 36 (6^2).
+- Scatter markers no longer have a black edge.
+- If the color of the markers is not specified it will follow the
+  property cycle, pulling from the 'patches' cycle on the ``Axes``.
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+
+   np.random.seed(2)
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3))
+
+   x = np.arange(15)
+   y = np.random.rand(15)
+   y2 = np.random.rand(15)
+   ax1.scatter(x, y, s=20, edgecolors='k', c='b', label='a')
+   ax1.scatter(x, y2, s=20, edgecolors='k', c='b', label='b')
+   ax1.legend()
+   ax1.set_title('classic')
+
+   ax2.scatter(x, y, label='a')
+   ax2.scatter(x, y2, label='b')
+   ax2.legend()
+   ax2.set_title('v2.0')
+
+
+The classic default behavior of `~matplotlib.axes.Axes.scatter` can
+only be recovered through ``mpl.style.use('classic')``.  The marker size
+can be recovered via ::
+
+  mpl.rcParam['lines.markersize'] = np.sqrt(20)
+
+however, this will also affect the default marker size of
+`~matplotlib.axes.Axes.plot`.  To recover the classic behavior on
+a per-call basis pass the following kwargs::
+
+  classic_kwargs = {'s': 20, 'edgecolors': 'k', 'c': 'b'}
+
+``plot``
+--------
+
+The following changes were made to the default behavior of
+`~matplotlib.axes.Axes.plot`
+
+- the default linewidth increased from 1 to 1.5
+- the dash patterns associated with ``'--'``, ``':'``, and ``'-.'`` have
+  changed
+- the dash patterns now scale with line width
+
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+   import matplotlib as mpl
+   from cycler import cycler
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3))
+
+   N = 15
+
+   x = np.arange(N)
+   y = np.ones_like(x)
+
+   sty_cycle = (cycler('ls', ['--' ,':', '-.']) *
+                cycler('lw', [None, 1, 2, 5]))
+
+   classic = {
+       'lines.linewidth': 1.0,
+       'lines.dashed_pattern' : [6, 6],
+       'lines.dashdot_pattern' : [3, 5, 1, 5],
+       'lines.dotted_pattern' : [1, 3],
+       'lines.scale_dashes': False}
+
+   v2 = {}
+   #    {'lines.linewidth': 1.5,
+   #     'lines.dashed_pattern' : [2.8, 1.2],
+   #     'lines.dashdot_pattern' : [4.8, 1.2, 0.8, 1.2],
+   #     'lines.dotted_pattern' : [1.1, 1.1],
+   #     'lines.scale_dashes': True}
+
+   def demo(ax, rcparams, title):
+       ax.axis('off')
+       ax.set_title(title)
+       with mpl.rc_context(rc=rcparams):
+           for j, sty in enumerate(sty_cycle):
+               ax.plot(x, y + j, **sty)
+
+   demo(ax1, classic, 'classic')
+   demo(ax2, {}, 'v2.0')
+
+
+The previous defaults can be restored by setting::
+
+    mpl.rcParams['lines.linewidth'] = 1.0
+    mpl.rcParams['lines.dashed_pattern'] = [6, 6]
+    mpl.rcParams['lines.dashdot_pattern'] = [3, 5, 1, 5]
+    mpl.rcParams['lines.dotted_pattern'] = [1, 3]
+    mpl.rcParams['lines.scale_dashes'] = False
+
+or by setting::
+
+   lines.linewidth   : 1.0
+   lines.dashed_pattern : 6, 6
+   lines.dashdot_pattern : 3, 5, 1, 5
+   lines.dotted_pattern : 1, 3
+   lines.scale_dashes: False
+
+in your :file:`matplotlibrc` file.
+
+``errorbar``
+------------
+
+By default, caps on the ends of errorbars are not present.
+
+.. plot::
+
+   import matplotlib as mpl
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   # example data
+   x = np.arange(0.1, 4, 0.5)
+   y = np.exp(-x)
+
+   # example variable error bar values
+   yerr = 0.1 + 0.2*np.sqrt(x)
+   xerr = 0.1 + yerr
+
+   def demo(ax, rc, title):
+       with mpl.rc_context(rc=rc):
+           ax.errorbar(x, y, xerr=0.2, yerr=0.4)
+       ax.set_title(title)
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3), tight_layout=True)
+
+   demo(ax1, {'errorbar.capsize': 3}, 'classic')
+   demo(ax2, {}, 'v2.0')
+
+This also changes the return value of
+:meth:`~matplotlib.axes.Axes.errorbar` as the list of 'caplines' will
+be empty by default.
+
+The previous defaults can be restored by setting::
+
+    mpl.rcParams['errorbar.capsize'] = 3
+
+or by setting ::
+
+   errorbar.capsize : 3
+
+in your :file:`matplotlibrc` file.
+
+
+``boxplot``
+-----------
+
+Previously, boxplots were composed of a mish-mash of styles that were, for
+better for worse, inherited from Matlab. Most of the elements were blue,
+but the medians were red. The fliers (outliers) were black plus-symbols
+('+') and the whiskers were dashed lines, which created ambiguity if
+the (solid and black) caps were not drawn.
+
+For the new defaults, everything is black except for the median and mean
+lines (if drawn), which are set to the first two elements of the current
+color cycle. Also, the default flier markers are now hollow circles,
+which maintain the ability of the plus-symbols to overlap without
+obscuring data too much.
+
+.. plot::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    data = np.random.lognormal(size=(37, 4))
+    fig, (old, new) = plt.subplots(ncols=2, sharey=True)
+    with plt.style.context('default'):
+        new.boxplot(data, labels=['A', 'B', 'C', 'D'])
+        new.set_title('v2.0')
+
+    with plt.style.context('classic'):
+        old.boxplot(data, labels=['A', 'B', 'C', 'D'])
+        old.set_title('classic')
+
+    new.set_yscale('log')
+    old.set_yscale('log')
+
+The previous defaults can be restored by setting::
+
+    mpl.rcParams['boxplot.flierprops.color'] = 'k'
+    mpl.rcParams['boxplot.flierprops.marker'] = '+'
+    mpl.rcParams['boxplot.flierprops.markerfacecolor'] = 'none'
+    mpl.rcParams['boxplot.flierprops.markeredgecolor'] = 'k'
+    mpl.rcParams['boxplot.boxprops.color'] = 'b'
+    mpl.rcParams['boxplot.whiskerprops.color'] = 'b'
+    mpl.rcParams['boxplot.whiskerprops.linestyle'] = '--'
+    mpl.rcParams['boxplot.medianprops.color'] = 'r'
+    mpl.rcParams['boxplot.meanprops.color'] = 'r'
+    mpl.rcParams['boxplot.meanprops.marker'] = '^'
+    mpl.rcParams['boxplot.meanprops.markerfacecolor'] = 'r'
+    mpl.rcParams['boxplot.meanprops.markeredgecolor'] = 'k'
+    mpl.rcParams['boxplot.meanprops.markersize'] = 6
+    mpl.rcParams['boxplot.meanprops.linestyle'] = '--'
+    mpl.rcParams['boxplot.meanprops.linewidth'] = 1.0
+
+or by setting::
+
+    boxplot.flierprops.color:           'k'
+    boxplot.flierprops.marker:          '+'
+    boxplot.flierprops.markerfacecolor: 'none'
+    boxplot.flierprops.markeredgecolor: 'k'
+    boxplot.boxprops.color:             'b'
+    boxplot.whiskerprops.color:         'b'
+    boxplot.whiskerprops.linestyle:     '--'
+    boxplot.medianprops.color:          'r'
+    boxplot.meanprops.color:            'r'
+    boxplot.meanprops.marker:           '^'
+    boxplot.meanprops.markerfacecolor:  'r'
+    boxplot.meanprops.markeredgecolor:  'k'
+    boxplot.meanprops.markersize:        6
+    boxplot.meanprops.linestyle:         '--'
+    boxplot.meanprops.linewidth:         1.0
+
+in your :file:`matplotlibrc` file.
+
+
+``fill_between`` and ``fill_betweenx``
+--------------------------------------
+
+`~matplotlib.axes.Axes.fill_between` and
+`~matplotlib.axes.Axes.fill_betweenx` both follow the patch color
+cycle.
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3))
+   fig.subplots_adjust(wspace=0.3)
+   th = np.linspace(0, 2*np.pi, 128)
+   N = 5
+
+   def demo(ax, extra_kwargs, title):
+       ax.set_title(title)
+       return [ax.fill_between(th, np.sin((j / N) * np.pi + th), alpha=.5, **extra_kwargs)
+               for j in range(N)]
+
+   demo(ax1, {'facecolor': 'C0'}, 'classic')
+   demo(ax2, {}, 'v2.0')
+
+
+If the facecolor is set via the ``facecolors`` or ``color`` keyword argument,
+then the color is not cycled.
+
+To restore the previous behavior, explicitly pass the keyword argument
+``facecolors='C0'`` to the method call.
+
+
+Patch edges and color
+---------------------
+
+Most artists drawn with a patch (``~matplotlib.axes.Axes.bar``,
+``~matplotlib.axes.Axes.pie``, etc) no longer have a black edge by
+default.  The default face color is now ``'C0'`` instead of ``'b'``.
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+   from matplotlib import rc_context
+   import matplotlib.patches as mpatches
+
+   fig, all_ax = plt.subplots(3, 2, figsize=(4, 6), tight_layout=True)
+
+   def demo(ax_top, ax_mid, ax_bottom, rcparams, label):
+       labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
+       fracs = [15, 30, 45, 10]
+
+       explode = (0, 0.05, 0, 0)
+
+       ax_top.set_title(label)
+
+       with rc_context(rc=rcparams):
+           ax_top.pie(fracs, labels=labels)
+           ax_top.set_aspect('equal')
+           ax_mid.bar(range(len(fracs)), fracs, tick_label=labels)
+           plt.setp(ax_mid.get_xticklabels(), rotation=-45)
+           grid = np.mgrid[0.2:0.8:3j, 0.2:0.8:3j].reshape(2, -1).T
+
+           ax_bottom.set_xlim(0, .75)
+           ax_bottom.set_ylim(0, .75)
+           ax_bottom.add_artist(mpatches.Rectangle(grid[1] - [0.025, 0.05],
+                                                   0.05, 0.1))
+           ax_bottom.add_artist(mpatches.RegularPolygon(grid[3], 5, radius=0.1))
+           ax_bottom.add_artist(mpatches.Ellipse(grid[4], 0.2, 0.1))
+           ax_bottom.add_artist(mpatches.Circle(grid[0], 0.1))
+           ax_bottom.axis('off')
+
+   demo(*all_ax[:, 0], rcparams={'patch.force_edgecolor': True,
+                                 'patch.facecolor': 'b'}, label='classic')
+   demo(*all_ax[:, 1], rcparams={}, label='v2.0')
+
+The previous defaults can be restored by setting::
+
+    mpl.rcParams['patch.force_edgecolor'] = True
+    mpl.rcParams['patch.facecolor'] = 'b'
+
+or by setting::
+
+   patch.facecolor        : b
+   patch.force_edgecolor  : True
+
+in your :file:`matplotlibrc` file.
+
+``hexbin``
+----------
+
+The default value of the *linecolor* keyword argument for `~.Axes.hexbin` has
+changed from ``'none'`` to ``'face'``. If 'none' is now supplied, no line edges
+are drawn around the hexagons.
+
+.. _barbarh_align:
+
+``bar`` and ``barh``
+--------------------
+
+The default value of the ``align`` kwarg for both
+`~.Axes.bar` and `~.Axes.barh` is changed from
+``'edge'`` to ``'center'``.
+
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(5, 5))
+
+   def demo(bar_func, bar_kwargs):
+       return bar_func([1, 2, 3], [1, 2, 3], tick_label=['a', 'b', 'c'],
+                       **bar_kwargs)
+
+
+   ax1.set_title("classic")
+   ax2.set_title('v2.0')
+
+   demo(ax1.bar, {'align': 'edge'})
+   demo(ax2.bar, {})
+   demo(ax3.barh, {'align': 'edge'})
+   demo(ax4.barh, {})
+
+
+To restore the previous behavior explicitly pass the keyword argument
+``align='edge'`` to the method call.
+
+
+Hatching
+========
+
+
+The color of the lines in the hatch is now determined by
+
+- If an edge color is explicitly set, use that for the hatch color
+- If the edge color is not explicitly set, use :rc:`hatch.color` which
+  is looked up at artist creation time.
+
+The width of the lines in a hatch pattern is now configurable by the
+rcParams :rc:`hatch.linewidth`, which defaults to 1 point.  The old
+behavior for the line width was different depending on backend:
+
+- PDF: 0.1 pt
+- SVG: 1.0 pt
+- PS:  1 px
+- Agg: 1 px
+
+The old line width behavior cannot be restored across all backends
+simultaneously, but can be restored for a single backend by setting::
+
+   mpl.rcParams['hatch.linewidth'] = 0.1  # previous pdf hatch linewidth
+   mpl.rcParams['hatch.linewidth'] = 1.0  # previous svg hatch linewidth
+
+The behavior of the PS and Agg backends was DPI dependent, thus::
+
+
+   mpl.rcParams['figure.dpi'] = dpi
+   mpl.rcParams['savefig.dpi'] = dpi  # or leave as default 'figure'
+   mpl.rcParams['hatch.linewidth'] = 1.0 / dpi  # previous ps and Agg hatch linewidth
+
+
+There is no direct API level control of the hatch color or linewidth.
+
+Hatching patterns are now rendered at a consistent density, regardless of DPI.
+Formerly, high DPI figures would be more dense than the default, and low DPI
+figures would be less dense.  This old behavior cannot be directly restored,
+but the density may be increased by repeating the hatch specifier.
+
+
+.. _default_changes_font:
+
+Fonts
+=====
+
+Normal text
+-----------
+
+The default font has changed from "Bitstream Vera Sans" to "DejaVu
+Sans".  DejaVu Sans has additional international and math characters,
+but otherwise has the same appearance as Bitstream Vera Sans.
+Latin, Greek, Cyrillic, Armenian, Georgian, Hebrew, and Arabic are
+`all supported <https://dejavu-fonts.github.io/>`__
+(but right-to-left rendering is still not handled by matplotlib).
+In addition, DejaVu contains a sub-set of emoji symbols.
+
+.. plot::
+
+   from __future__ import unicode_literals
+
+   import matplotlib.pyplot as plt
+
+   fig, ax = plt.subplots()
+   tick_labels = ['😃', '😎', '😴', '😲', '😻']
+   bar_labels = ['�', 'α', '☣', '⌬', '�']
+   y = [1, 4, 9, 16, 25]
+   x = range(5)
+   ax.bar(x, y, tick_label=tick_labels, align='center')
+   ax.xaxis.set_tick_params(labelsize=20)
+   for _x, _y, t in zip(x, y, bar_labels):
+       ax.annotate(t, (_x, _y), fontsize=20, ha='center',
+                   xytext=(0, -2), textcoords='offset pixels',
+                   bbox={'facecolor': 'w'})
+
+   ax.set_title('Диаграмма �о �майликами')
+
+See the `DejaVu Sans PDF sample for full coverage
+<http://dejavu.sourceforge.net/samples/DejaVuSans.pdf>`__.
+
+Math text
+---------
+
+The default math font when using the built-in math rendering engine
+(mathtext) has changed from "Computer Modern" (i.e. LaTeX-like) to
+"DejaVu Sans".  This change has no effect if the
+TeX backend is used (i.e. ``text.usetex`` is ``True``).
+
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import matplotlib as mpl
+
+   mpl.rcParams['mathtext.fontset'] = 'cm'
+   mpl.rcParams['mathtext.rm'] = 'serif'
+
+   fig, ax = plt.subplots(tight_layout=True, figsize=(3, 3))
+
+   ax.plot(range(15), label=r'int: $15 \int_0^\infty dx$')
+   ax.legend()
+   ax.set_title('classic')
+
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import matplotlib as mpl
+
+   fig, ax  = plt.subplots(tight_layout=True, figsize=(3, 3))
+
+   ax.plot(range(15), label=r'int: $15 \int_0^\infty dx$')
+   ax.legend()
+   ax.set_title('v2.0')
+
+
+
+To revert to the old behavior set the::
+
+   mpl.rcParams['mathtext.fontset'] = 'cm'
+   mpl.rcParams['mathtext.rm'] = 'serif'
+
+or set::
+
+  mathtext.fontset: cm
+  mathtext.rm : serif
+
+
+in your :file:`matplotlibrc` file.
+
+This ``rcParam`` is consulted when the text is drawn, not when the
+artist is created. Thus all mathtext on a given ``canvas`` will use the
+same fontset.
+
+
+Legends
+=======
+
+- By default, the number of points displayed in a legend is now 1.
+- The default legend location is ``'best'``, so the legend will be
+  automatically placed in a location to minimize overlap with data.
+- The legend defaults now include rounded corners, a lighter
+  boundary, and partially transparent boundary and background.
+
+.. plot::
+
+   import matplotlib as mpl
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   def demo(ax, rcparams, title):
+       np.random.seed(2)
+       N = 25
+       with mpl.rc_context(rc=rcparams):
+           x = range(N)
+           y = np.cumsum(np.random.randn(N) )
+           # unpack the single Line2D artist
+           ln, = ax.plot(x, y, marker='s',
+                         linestyle='-', label='plot')
+           ax.fill_between(x, y, 0, label='fill', alpha=.5, color=ln.get_color())
+           ax.scatter(N*np.random.rand(N), np.random.rand(N), label='scatter')
+           ax.set_title(title)
+           ax.legend()
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3), tight_layout=True)
+
+   classic_rc = {'legend.fancybox': False,
+                 'legend.numpoints': 2,
+                 'legend.scatterpoints': 3,
+                 'legend.framealpha': None,
+                 'legend.edgecolor': 'inherit',
+                 'legend.loc': 'upper right',
+                 'legend.fontsize': 'large'}
+
+   demo(ax1, classic_rc, 'classic')
+   demo(ax2, {}, 'v2.0')
+
+
+The previous defaults can be restored by setting::
+
+   mpl.rcParams['legend.fancybox'] = False
+   mpl.rcParams['legend.loc'] = 'upper right'
+   mpl.rcParams['legend.numpoints'] = 2
+   mpl.rcParams['legend.fontsize'] = 'large'
+   mpl.rcParams['legend.framealpha'] = None
+   mpl.rcParams['legend.scatterpoints'] = 3
+   mpl.rcParams['legend.edgecolor'] = 'inherit'
+
+
+or by setting::
+
+   legend.fancybox      : False
+   legend.loc           : upper right
+   legend.numpoints     : 2      # the number of points in the legend line
+   legend.fontsize      : large
+   legend.framealpha    : None    # opacity of legend frame
+   legend.scatterpoints : 3 # number of scatter points
+   legend.edgecolor     : inherit   # legend edge color ('inherit'
+                                    # means it uses axes.edgecolor)
+
+in your :file:`matplotlibrc` file.
+
+Image
+=====
+
+Interpolation
+-------------
+
+The default interpolation method for `~matplotlib.axes.Axes.imshow` is
+now ``'nearest'`` and by default it resamples the data (both up and down
+sampling) before colormapping.
+
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import matplotlib as mpl
+   import numpy as np
+
+
+   def demo(ax, rcparams, title):
+       np.random.seed(2)
+       A = np.random.rand(5, 5)
+
+       with mpl.rc_context(rc=rcparams):
+           ax.imshow(A)
+           ax.set_title(title)
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3), tight_layout=True)
+
+   classic_rcparams = {'image.interpolation': 'bilinear',
+                       'image.resample': False}
+
+   demo(ax1, classic_rcparams, 'classic')
+   demo(ax2, {}, 'v2.0')
+
+
+To restore the previous behavior set::
+
+   mpl.rcParams['image.interpolation'] = 'bilinear'
+   mpl.rcParams['image.resample'] = False
+
+or set::
+
+  image.interpolation  : bilinear  # see help(imshow) for options
+  image.resample  : False
+
+in your :file:`matplotlibrc` file.
+
+Colormapping pipeline
+---------------------
+
+Previously, the input data was normalized, then colormapped, and then
+resampled to the resolution required for the screen.  This meant that
+the final resampling was being done in color space.  Because the color
+maps are not generally linear in RGB space, colors not in the colormap
+may appear in the final image.  This bug was addressed by an almost
+complete overhaul of the image handling code.
+
+The input data is now normalized, then resampled to the correct
+resolution (in normalized dataspace), and then colormapped to
+RGB space.  This ensures that only colors from the colormap appear
+in the final image. (If your viewer subsequently resamples the image,
+the artifact may reappear.)
+
+The previous behavior cannot be restored.
+
+
+Shading
+-------
+
+- The default shading mode for light source shading, in
+  ``matplotlib.colors.LightSource.shade``, is now ``overlay``.
+  Formerly, it was ``hsv``.
+
+
+Plot layout
+===========
+
+Auto limits
+-----------
+
+The previous auto-scaling behavior was to find 'nice' round numbers
+as view limits that enclosed the data limits, but this could produce
+bad plots if the data happened to fall on a vertical or
+horizontal line near the chosen 'round number' limit.  The new default
+sets the view limits to 5% wider than the data range.
+
+.. plot::
+
+   import matplotlib as mpl
+   import matplotlib.pyplot as plt
+   import numpy
+
+   data = np.zeros(1000)
+   data[0] = 1
+
+   fig = plt.figure(figsize=(6, 3))
+
+   def demo(fig, rc, title, j):
+       with mpl.rc_context(rc=rc):
+           ax = fig.add_subplot(1, 2, j)
+           ax.plot(data)
+           ax.set_title(title)
+
+   demo(fig, {'axes.autolimit_mode': 'round_numbers',
+              'axes.xmargin': 0,
+              'axes.ymargin': 0}, 'classic', 1)
+   demo(fig, {}, 'v2.0', 2)
+
+The size of the padding in the x and y directions is controlled by the
+``'axes.xmargin'`` and ``'axes.ymargin'`` rcParams respectively. Whether
+the view limits should be 'round numbers' is controlled by
+:rc:`axes.autolimit_mode`.  In the original ``'round_number'`` mode,
+the view limits coincide with ticks.
+
+The previous default can be restored by using::
+
+   mpl.rcParams['axes.autolimit_mode'] = 'round_numbers'
+   mpl.rcParams['axes.xmargin'] = 0
+   mpl.rcParams['axes.ymargin'] = 0
+
+or setting::
+
+   axes.autolimit_mode: round_numbers
+   axes.xmargin: 0
+   axes.ymargin: 0
+
+in your :file:`matplotlibrc` file.
+
+
+Z-order
+-------
+
+- Ticks and grids are now plotted above solid elements such as
+  filled contours, but below lines.  To return to the previous
+  behavior of plotting ticks and grids above lines, set
+  ``rcParams['axes.axisbelow'] = False``.
+
+
+Ticks
+-----
+
+Direction
+~~~~~~~~~
+
+To reduce the collision of tick marks with data, the default ticks now
+point outward by default.  In addition, ticks are now drawn only on
+the bottom and left spines to prevent a porcupine appearance, and for
+a cleaner separation between subplots.
+
+
+.. plot::
+
+   import matplotlib as mpl
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   th = np.linspace(0, 2*np.pi, 128)
+   y = np.sin(th)
+
+   def demo(fig, rcparams, title, j):
+       np.random.seed(2)
+       with mpl.rc_context(rc=rcparams):
+
+           ax = fig.add_subplot(2, 2, j)
+           ax.hist(np.random.beta(0.5, 0.5, 10000), 25, density=True)
+           ax.set_xlim([0, 1])
+           ax.set_title(title)
+
+           ax = fig.add_subplot(2, 2, j + 2)
+           ax.imshow(np.random.rand(5, 5))
+
+   classic = {'xtick.direction': 'in',
+              'ytick.direction': 'in',
+              'xtick.top': True,
+              'ytick.right': True}
+
+   fig = plt.figure(figsize=(6, 6), tight_layout=True)
+
+   demo(fig, classic, 'classic', 1)
+   demo(fig, {}, 'v2.0', 2)
+
+
+To restore the previous behavior set::
+
+   mpl.rcParams['xtick.direction'] = 'in'
+   mpl.rcParams['ytick.direction'] = 'in'
+   mpl.rcParams['xtick.top'] = True
+   mpl.rcParams['ytick.right'] = True
+
+or set::
+
+   xtick.top: True
+   xtick.direction: in
+
+   ytick.right: True
+   ytick.direction: in
+
+in your :file:`matplotlibrc` file.
+
+
+
+Number of ticks
+~~~~~~~~~~~~~~~
+
+The default `~matplotlib.ticker.Locator` used for the x and y axis is
+`~matplotlib.ticker.AutoLocator` which tries to find, up to some
+maximum number, 'nicely' spaced ticks.  The locator now includes
+an algorithm to estimate the maximum number of ticks that will leave
+room for the tick labels.  By default it also ensures that there are at least
+two ticks visible.
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   from matplotlib.ticker import AutoLocator
+
+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(4, 3), tight_layout=True)
+   ax1.set_xlim(0, .1)
+   ax2.set_xlim(0, .1)
+
+   ax1.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])
+   ax1.set_title('classic')
+   ax2.set_title('v2.0')
+
+There is no way, other than using ``mpl.style.use('classic')``, to restore the
+previous behavior as the default.  On an axis-by-axis basis you may either
+control the existing locator via: ::
+
+  ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])
+
+or create a new `~matplotlib.ticker.MaxNLocator`::
+
+  import matplotlib.ticker as mticker
+  ax.set_major_locator(mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10])
+
+The algorithm used by `~matplotlib.ticker.MaxNLocator` has been
+improved, and this may change the choice of tick locations in some
+cases.  This also affects `~matplotlib.ticker.AutoLocator`, which
+uses ``MaxNLocator`` internally.
+
+For a log-scaled axis the default locator is the
+`~matplotlib.ticker.LogLocator`.  Previously the maximum number
+of ticks was set to 15, and could not be changed. Now there is a
+*numticks* kwarg for setting the maximum to any integer value,
+to the string 'auto', or to its default value of None which is
+equivalent to 'auto'.  With the 'auto' setting the maximum number
+will be no larger than 9, and will be reduced depending on the
+length of the axis in units of the tick font size.  As in the
+case of the AutoLocator, the heuristic algorithm reduces the
+incidence of overlapping tick labels but does not prevent it.
+
+
+Tick label formatting
+---------------------
+
+``LogFormatter`` labeling of minor ticks
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Minor ticks on a log axis are now labeled when the axis view limits
+span a range less than or equal to the interval between two major
+ticks.  See `~matplotlib.ticker.LogFormatter` for details. The
+minor tick labeling is turned off when using ``mpl.style.use('classic')``,
+but cannot be controlled independently via `.rcParams`.
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+
+   np.random.seed(2)
+
+   fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(6, 3))
+   fig.subplots_adjust(wspace=0.35, left=0.09, right=0.95)
+
+   x = np.linspace(0.9, 1.7, 10)
+   y = 10 ** x[np.random.randint(0, 10, 10)]
+
+   ax2.semilogy(x, y)
+   ax2.set_title('v2.0')
+
+   with plt.style.context('classic'):
+       ax1.semilogy(x, y)
+       ax1.set_xlim(ax2.get_xlim())
+       ax1.set_ylim(ax2.get_ylim())
+       ax1.set_title('classic')
+
+
+``ScalarFormatter`` tick label formatting with offsets
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+With the default :rc:`axes.formatter.useoffset`,
+an offset will be used when it will save 4 or more digits.  This can
+be controlled with the new :rc:`axes.formatter.offset_threshold`.
+To restore the previous behavior of using an offset to save 2 or more
+digits, use ``rcParams['axes.formatter.offset_threshold'] = 2``.
+
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+
+   np.random.seed(5)
+
+   fig = plt.figure(figsize=(6, 3))
+   fig.subplots_adjust(bottom=0.15, wspace=0.3, left=0.09, right=0.95)
+
+   x = np.linspace(2000, 2008, 9)
+   y = np.random.randn(9) + 50000
+
+   with plt.rc_context(rc={'axes.formatter.offset_threshold' : 2}):
+       ax1 = fig.add_subplot(1, 2, 1)
+       ax1.plot(x, y)
+       ax1.set_title('classic')
+
+   ax2 = fig.add_subplot(1, 2, 2)
+   ax2.plot(x, y)
+   ax2.set_title('v2.0')
+
+
+``AutoDateFormatter`` format strings
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The default date formats are now all based on ISO format, i.e., with
+the slowest-moving value first.  The date formatters are
+configurable through the ``date.autoformatter.*`` rcParams.
+
+
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| Threshold (tick interval >= than)    | rcParam                              | classic           | v2.0              |
++======================================+======================================+===================+===================+
+| 365 days                             | ``'date.autoformatter.year'``        | ``'%Y'``          | ``'%Y'``          |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 30 days                              | ``'date.autoformatter.month'``       | ``'%b %Y'``       | ``'%Y-%m'``       |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 1 day                                | ``'date.autoformatter.day'``         | ``'%b %d %Y'``    | ``'%Y-%m-%d'``    |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 1 hour                               | ``'date.autoformatter.hour'``        | ``'%H:%M:%S'``    | ``'%H:%M'``       |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 1 minute                             | ``'date.autoformatter.minute'``      | ``'%H:%M:%S.%f'`` | ``'%H:%M:%S'``    |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 1 second                             | ``'date.autoformatter.second'``      | ``'%H:%M:%S.%f'`` | ``'%H:%M:%S'``    |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+| 1  microsecond                       | ``'date.autoformatter.microsecond'`` | ``'%H:%M:%S.%f'`` | ``'%H:%M:%S.%f'`` |
++--------------------------------------+--------------------------------------+-------------------+-------------------+
+
+
+
+Python's ``%x`` and ``%X`` date formats may be of particular interest
+to format dates based on the current locale.
+
+The previous default can be restored by::
+
+   mpl.rcParams['date.autoformatter.year'] = '%Y'
+   mpl.rcParams['date.autoformatter.month'] = '%b %Y'
+   mpl.rcParams['date.autoformatter.day'] = '%b %d %Y'
+   mpl.rcParams['date.autoformatter.hour'] = '%H:%M:%S'
+   mpl.rcParams['date.autoformatter.minute'] = '%H:%M:%S.%f'
+   mpl.rcParams['date.autoformatter.second'] = '%H:%M:%S.%f'
+   mpl.rcParams['date.autoformatter.microsecond'] = '%H:%M:%S.%f'
+
+
+or setting ::
+
+   date.autoformatter.year   : %Y
+   date.autoformatter.month  : %b %Y
+   date.autoformatter.day    : %b %d %Y
+   date.autoformatter.hour   : %H:%M:%S
+   date.autoformatter.minute : %H:%M:%S.%f
+   date.autoformatter.second : %H:%M:%S.%f
+   date.autoformatter.microsecond : %H:%M:%S.%f
+
+in your :file:`matplotlibrc` file.
+
+mplot3d
+=======
+
+- mplot3d now obeys some style-related rcParams, rather than using
+  hard-coded defaults.  These include:
+
+  - xtick.major.width
+  - ytick.major.width
+  - xtick.color
+  - ytick.color
+  - axes.linewidth
+  - axes.edgecolor
+  - grid.color
+  - grid.linewidth
+  - grid.linestyle
diff --git a/doc/users/prev_whats_new/github_stats_3.0.0.rst b/doc/users/prev_whats_new/github_stats_3.0.0.rst
new file mode 100644
index 000000000000..0e9c4b3b588d
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.0.0.rst
@@ -0,0 +1,1221 @@
+.. _github-stats-3-0-0:
+
+GitHub statistics for 3.0.0 (Sep 18, 2018)
+==========================================
+
+GitHub statistics for 2017/01/17 (tag: v2.0.0) - 2018/09/18
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 123 issues and merged 598 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/23?closed=1>`__
+
+The following 478 authors contributed 9809 commits.
+
+* 816-8055
+* Aashil Patel
+* AbdealiJK
+* Adam
+* Adam Williamson
+* Adrian Price-Whelan
+* Adrien Chardon
+* Adrien F. Vincent
+* ahed87
+* akrherz
+* Akshay Nair
+* Alan Bernstein
+* Alberto
+* alcinos
+* Aleksey Bilogur
+* Alex Rothberg
+* Alexander Buchkovsky
+* Alexander Harnisch
+* AlexCav
+* Alexis Bienvenüe
+* Ali Uneri
+* Allan Haldane
+* Allen Downey
+* Alvaro Sanchez
+* alvarosg
+* AndersonDaniel
+* Andras Deak
+* Andreas Gustafsson
+* Andreas Hilboll
+* Andreas Mayer
+* Andreas Mueller
+* Andrew Nelson
+* Andy Mastbaum
+* aneda
+* Anthony Scopatz
+* Anton Akhmerov
+* Antony Lee
+* aparamon
+* apodemus
+* Arthur Paulino
+* Arvind
+* as691454
+* ash13
+* Atharva Khare
+* Avinash Sharma
+* Bastian Bechtold
+* bduick
+* Ben
+* Ben Root
+* Benedikt Daurer
+* Benjamin Berg
+* Benjamin Congdon
+* Bernhard M. Wiedemann
+* BHT
+* Bianca Gibson
+* Björn Dahlgren
+* Blaise Thompson
+* Boaz Mohar
+* Brendan Zhang
+* Brennan Magee
+* Bruno Zohreh
+* BTWS
+* buefox
+* Cameron Davidson-Pilon
+* Cameron Fackler
+* cclauss
+* ch3rn0v
+* Charles Ruan
+* chelseatroy
+* Chen Karako
+* Chris Holdgraf
+* Christoph Deil
+* Christoph Gohlke
+* Cimarron Mittelsteadt
+* CJ Carey
+* cknd
+* cldssty
+* clintval
+* Cody Scot
+* Colin
+* Conner R. Phillips
+* Craig Citro
+* DaCoEx
+* dahlbaek
+* Dakota Blair
+* Damian
+* Dan Hickstein
+* Dana
+* Daniel C. Marcu
+* Daniel Laidig
+* danielballan
+* Danny Hermes
+* daronjp
+* DaveL17
+* David A
+* David Brooks
+* David Kent
+* David Stansby
+* deeenes
+* deepyaman
+* Derek Kim
+* Derek Tropf
+* Devashish Deshpande
+* Diego Mora Cespedes
+* Dietmar Schwertberger
+* Dietrich Brunn
+* Divyam Madaan
+* dlmccaffrey
+* Dmitry Shachnev
+* Dora Fraeman
+* DoriekeMG
+* Dorota Jarecka
+* Doug Blank
+* Drew J. Sonne
+* Duncan Macleod
+* Dylan Evans
+* E\. G\. Patrick Bos
+* Egor Panfilov
+* Elijah Schutz
+* Elizabeth Seiver
+* Elliott Sales de Andrade
+* Elvis Stansvik
+* Emlyn Price
+* endolith
+* Eric Dill
+* Eric Firing
+* Eric Galloway
+* Eric Larson
+* Eric Wang (Mac)
+* Eric Wieser
+* Erik M. Bray
+* Erin Pintozzi
+* et2010
+* Ethan Ligon
+* Eugene Yurtsev
+* Fabian Kloosterman
+* Fabian-Robert Stöter
+* FedeMiorelli
+* Federico Ariza
+* Felix
+* Felix Kohlgrüber
+* Felix Yan
+* Filip Dimitrovski
+* Florencia Noriega
+* Florian Le Bourdais
+* Franco Vaccari
+* Francoise Provencher
+* Frank Yu
+* fredrik-1
+* fuzzythecat
+* Gabe
+* Gabriel Munteanu
+* Gauravjeet
+* Gaute Hope
+* gcallah
+* Geoffrey Spear
+* gnaggnoyil
+* goldstarwebs
+* Graeme Smecher
+* greg-roper
+* gregorybchris
+* Grillard
+* Guillermo Breto
+* Gustavo Goretkin
+* Hajoon Choi
+* Hakan Kucukdereli
+* hannah
+* Hans Moritz Günther
+* Harnesser
+* Harshal Prakash Patankar
+* Harshit Patni
+* Hassan Kibirige
+* Hastings Greer
+* Heath Henley
+* Heiko Oberdiek
+* Helder
+* helmiriawan
+* Henning Pohl
+* Herbert Kruitbosch
+* HHest
+* Hubert Holin
+* Ian Thomas
+* Ida Hjorth
+* Ildar Akhmetgaleev
+* ilivni
+* Ilya Flyamer
+* ImportanceOfBeingErnest
+* ImSoErgodic
+* Isa Hassen
+* Isaac Schwabacher
+* Isaac Slavitt
+* Ismo Toijala
+* J Alammar
+* J\. Goutin
+* Jaap Versteegh
+* Jacob McDonald
+* jacob-on-github
+* Jae-Joon Lee
+* Jake Vanderplas
+* James A. Bednar
+* Jamie Nunez
+* Jan Koehler
+* Jan Schlüter
+* Jan Schulz
+* Jarrod Millman
+* Jason King
+* Jason Neal
+* Jason Zheng
+* jbhopkins
+* jdollichon
+* Jeffrey Hokanson @ Loki
+* JelsB
+* Jens Hedegaard Nielsen
+* Jerry Lui
+* jerrylui803
+* jhelie
+* jli
+* Jody Klymak
+* joelostblom
+* Johannes Wienke
+* John Hoffman
+* John Vandenberg
+* Johnny Gill
+* JojoBoulix
+* jonchar
+* Joseph Albert
+* Joseph Fox-Rabinovitz
+* Joseph Jon Booker
+* Joseph Martinot-Lagarde
+* Jouni K. Seppänen
+* Juan Nunez-Iglesias
+* Julia Sprenger
+* Julian Mehne
+* Julian V. Modesto
+* Julien Lhermitte
+* Julien Schueller
+* Jun Tan
+* Justin Cai
+* Jörg Dietrich
+* Kacper Kowalik (Xarthisius)
+* Kanchana Ranasinghe
+* Katrin Leinweber
+* Keerysanth Sribaskaran
+* keithbriggs
+* Kenneth Ma
+* Kevin Davies
+* Kevin Ji
+* Kevin Keating
+* Kevin Rose
+* Kexuan Sun
+* khyox
+* Kieran Ramos
+* Kjartan Myrdal
+* Kjell Le
+* Klara Gerlei
+* klaus
+* klonuo
+* Kristen M. Thyng
+* kshramt
+* Kyle Bridgemohansingh
+* Kyle Sunden
+* Kyler Brown
+* Laptop11_ASPP2016
+* lboogaard
+* legitz7
+* Leo Singer
+* Leon Yin
+* Levi Kilcher
+* Liam Brannigan
+* Lionel Miller
+* lspvic
+* Luca Verginer
+* Luis Pedro Coelho
+* luz.paz
+* lzkelley
+* Maarten Baert
+* Magnus Nord
+* mamrehn
+* Manish Devgan
+* Manuel Jung
+* Mark Harfouche
+* Martin Fitzpatrick
+* Martin Spacek
+* Massimo Santini
+* Matt Hancock
+* Matt Newville
+* Matthew Bell
+* Matthew Brett
+* Matthias Bussonnier
+* Matthias Lüthi
+* Matti Picus
+* Maximilian Albert
+* Maximilian Maahn
+* Maximilian Nöthe
+* mcquin
+* Mher Kazandjian
+* Michael Droettboom
+* Michael Scott Cuthbert
+* Michael Seifert
+* Michiel de Hoon
+* Mike Henninger
+* Mike Jarvis
+* MinRK
+* Mitar
+* mitch
+* mlub
+* mobando
+* Molly Rossow
+* Moritz Boehle
+* muahah
+* Mudit Surana
+* myyc
+* Naoya Kanai
+* Nathan Goldbaum
+* Nathan Musoke
+* Nathaniel M. Beaver
+* navdeep rana
+* nbrunett
+* Nelle Varoquaux
+* nemanja
+* neok-m4700
+* nepix32
+* Nick Forrington
+* Nick Garvey
+* Nick Papior
+* Nico Schlömer
+* Nicolas P. Rougier
+* Nicolas Tessore
+* Nik Quibin
+* Nikita Kniazev
+* Nils Werner
+* Ninad Bhat
+* nmartensen
+* Norman Fomferra
+* ob
+* OceanWolf
+* Olivier
+* Orso Meneghini
+* Osarumwense
+* Pankaj Pandey
+* Paramonov Andrey
+* Pastafarianist
+* Paul Ganssle
+* Paul Hobson
+* Paul Ivanov
+* Paul Kirow
+* Paul Romano
+* Paul Seyfert
+* Pavol Juhas
+* pdubcali
+* Pete Huang
+* Pete Peterson
+* Peter Mackenzie-Helnwein
+* Peter Mortensen
+* Peter Würtz
+* Petr Danecek
+* pharshalp
+* Phil Elson
+* Phil Ruffwind
+* Pierre de Buyl
+* Pierre Haessig
+* Pranav Garg
+* productivememberofsociety666
+* Przemysław Dąbek
+* Qingpeng "Q.P." Zhang
+* RAKOTOARISON Herilalaina
+* Ramiro Gómez
+* Randy Olson
+* rebot
+* Richard Gowers
+* Rishikesh
+* Rob Harrigan
+* Robin Dunn
+* Robin Neatherway
+* Robin Wilson
+* Ronald Hartley-Davies
+* Roy Smith
+* Rui Lopes
+* ruin
+* rvhbooth
+* Ryan
+* Ryan May
+* Ryan Morshead
+* RyanPan
+* s0vereign
+* Saket Choudhary
+* Salganos
+* Salil Vanvari
+* Salinder Sidhu
+* Sam Vaughan
+* Samson
+* Samuel St-Jean
+* Sander
+* scls19fr
+* Scott Howard
+* Scott Lasley
+* scott-vsi
+* Sean Farley
+* Sebastian Raschka
+* Sebastián Vanrell
+* Seraphim Alvanides
+* Sergey B Kirpichev
+* serv-inc
+* settheory
+* shaunwbell
+* Simon Gibbons
+* simonpf
+* sindunuragarp
+* Sourav Singh
+* Stefan Pfenninger
+* Stephan Erb
+* Sterling Smith
+* Steven Silvester
+* Steven Tilley
+* stone
+* stonebig
+* Tadeo Corradi
+* Taehoon Lee
+* Tanuj
+* Taras
+* Taras Kuzyo
+* TD22057
+* Ted Petrou
+* terranjp
+* Terrence J. Katzenbaer
+* Terrence Katzenbaer
+* The Gitter Badger
+* Thomas A Caswell
+* Thomas Hisch
+* Thomas Levine
+* Thomas Mansencal
+* Thomas Robitaille
+* Thomas Spura
+* Thomas VINCENT
+* Thorsten Liebig
+* thuvejan
+* Tian Xia
+* Till Stensitzki
+* Tim Hoffmann
+* tmdavison
+* Tobias Froehlich
+* Tobias Megies
+* Tom
+* Tom Augspurger
+* Tom Dupré la Tour
+* tomoemon
+* tonyyli
+* Trish Gillett-Kawamoto
+* Truong Pham
+* Tuan Dung Tran
+* u55
+* ultra-andy
+* V\. R
+* vab9
+* Valentin Schmidt
+* Vedant Nanda
+* Vidur Satija
+* vraelvrangr
+* Víctor Zabalza
+* WANG Aiyong
+* Warren Weckesser
+* watkinrt
+* Wieland Hoffmann
+* Will Silva
+* William Granados
+* William Mallard
+* Xufeng Wang
+* y1thof
+* Yao-Yuan Mao
+* Yuval Langer
+* Zac Hatfield-Dodds
+* Zbigniew Jędrzejewski-Szmek
+* zhangeugenia
+* ZhaoZhonglun1991
+* zhoubecky
+* ZWL
+* Élie Gouzien
+* �ндрей Парамонов
+
+GitHub issues and pull requests:
+
+Pull Requests (598):
+
+* :ghpull:`12145`: Doc final 3.0 docs
+* :ghpull:`12143`: Backport PR #12142 on branch v3.0.x (Unbreak formlayout for image edits.)
+* :ghpull:`12142`: Unbreak formlayout for image edits.
+* :ghpull:`12135`: Backport PR #12131 on branch v3.0.x (Fixes currently release version of cartopy)
+* :ghpull:`12131`: Fixes currently release version of cartopy
+* :ghpull:`12129`: Backports for 3.0
+* :ghpull:`12132`: Backport PR #12130 on branch v3.0.x (Mention colorbar.minorticks_on/off in references)
+* :ghpull:`12130`: Mention colorbar.minorticks_on/off in references
+* :ghpull:`12099`: FIX: make sure all ticks show up for colorbar minor tick
+* :ghpull:`11962`: Propagate changes to backend loading to setup/setupext.
+* :ghpull:`12128`: Unbreak the Sphinx 1.8 build by renaming :math: to :mathmpl:.
+* :ghpull:`12126`: Backport PR #12117 on branch v3.0.x (Fix Agg extent calculations for empty draws)
+* :ghpull:`12113`: Backport PR #12112 on branch v3.0.x (Reword the LockDraw docstring.)
+* :ghpull:`12112`: Reword the LockDraw docstring.
+* :ghpull:`12110`: Backport PR #12109 on branch v3.0.x (Pin to sphinx<1.8; unremove sphinxext.mathmpl.)
+* :ghpull:`12084`: DOC: link palettable
+* :ghpull:`12096`: Backport PR #12092 on branch v3.0.x (Update backend_qt5agg to fix PySide2 mem issues)
+* :ghpull:`12083`: Backport PR #12012 on branch v3.0.x (FIX: fallback text renderer to fig._cachedRenderer, if none found)
+* :ghpull:`12081`: Backport PR #12037 on branch v3.0.x (Fix ArtistInspector.get_aliases.)
+* :ghpull:`12080`: Backport PR #12053 on branch v3.0.x (Fix up some OSX backend issues)
+* :ghpull:`12037`: Fix ArtistInspector.get_aliases.
+* :ghpull:`12053`: Fix up some OSX backend issues
+* :ghpull:`12064`: Backport PR #11971 on branch v3.0.x (FIX: use cached renderer on Legend.get_window_extent)
+* :ghpull:`12063`: Backport PR #12036 on branch v3.0.x (Interactive tests update)
+* :ghpull:`11928`: Update doc/conf.py to avoid warnings with (future) sphinx 1.8.
+* :ghpull:`12048`: Backport PR #12047 on branch v3.0.x (Remove asserting about current backend at the end of mpl_test_settings.)
+* :ghpull:`11971`: FIX: use cached renderer on Legend.get_window_extent
+* :ghpull:`12036`: Interactive tests update
+* :ghpull:`12029`: Backport PR #12022 on branch v3.0.x (Remove intent to deprecate rcParams["backend_fallback"].)
+* :ghpull:`12047`: Remove asserting about current backend at the end of mpl_test_settings.
+* :ghpull:`12020`: Backport PR #12019 on branch v3.0.x (typo: s/unmultipled/unmultiplied)
+* :ghpull:`12022`: Remove intent to deprecate rcParams["backend_fallback"].
+* :ghpull:`12028`: Backport PR #12023 on branch v3.0.x (Fix deprecation check in wx Timer.)
+* :ghpull:`12023`: Fix deprecation check in wx Timer.
+* :ghpull:`12019`: typo: s/unmultipled/unmultiplied
+* :ghpull:`12017`: Backport PR #12016 on branch v3.0.x (Fix AttributeError in GTK3Agg backend)
+* :ghpull:`12016`: Fix AttributeError in GTK3Agg backend
+* :ghpull:`11991`: Backport PR #11988 on branch v3.0.x
+* :ghpull:`11978`: Backport PR #11973 on branch v3.0.x
+* :ghpull:`11968`: Backport PR #11963 on branch v3.0.x
+* :ghpull:`11967`: Backport PR #11961 on branch v3.0.x
+* :ghpull:`11969`: Fix an invalid escape sequence.
+* :ghpull:`11963`: Fix some lgtm convention alerts
+* :ghpull:`11961`: Downgrade backend_version log to DEBUG level.
+* :ghpull:`11953`: Backport PR #11896 on branch v3.0.x
+* :ghpull:`11896`: Resolve backend in rcParams.__getitem__("backend").
+* :ghpull:`11950`: Backport PR #11934 on branch v3.0.x
+* :ghpull:`11952`: Backport PR #11949 on branch v3.0.x
+* :ghpull:`11949`: Remove test2.png from examples.
+* :ghpull:`11934`: Suppress the "non-GUI backend" warning from the .. plot:: directive...
+* :ghpull:`11918`: Backport PR #11917 on branch v3.0.x
+* :ghpull:`11916`: Backport PR #11897 on branch v3.0.x
+* :ghpull:`11915`: Backport PR #11591 on branch v3.0.x
+* :ghpull:`11897`: HTMLWriter, put initialisation of frames in setup
+* :ghpull:`11591`: BUG: correct the scaling in the floating-point slop test.
+* :ghpull:`11910`: Backport PR #11907 on branch v3.0.x
+* :ghpull:`11907`: Move TOC back to top in axes documentation
+* :ghpull:`11904`: Backport PR #11900 on branch v3.0.x
+* :ghpull:`11900`: Allow args to pass through _allow_super_init
+* :ghpull:`11889`: Backport PR #11847 on branch v3.0.x
+* :ghpull:`11890`: Backport PR #11850 on branch v3.0.x
+* :ghpull:`11850`: FIX: macosx framework check
+* :ghpull:`11883`: Backport PR #11862 on branch v3.0.x
+* :ghpull:`11882`: Backport PR #11876 on branch v3.0.x
+* :ghpull:`11876`: MAINT Better error message for number of colors versus number of data…
+* :ghpull:`11862`: Fix NumPy FutureWarning for non-tuple indexing.
+* :ghpull:`11845`: Use Format_ARGB32_Premultiplied instead of RGBA8888 for Qt backends.
+* :ghpull:`11843`: Remove unnecessary use of nose.
+* :ghpull:`11600`: backend switching -- don't create a public fallback API
+* :ghpull:`11833`: adding show inheritance to autosummary template
+* :ghpull:`11828`: changed warning in animation
+* :ghpull:`11829`: func animation warning changes
+* :ghpull:`11826`: DOC documented more of the gridspec options
+* :ghpull:`11818`: Merge v2.2.x
+* :ghpull:`11821`: DOC: remove multicolumns from examples
+* :ghpull:`11819`: DOC: fix minor typo in figure example
+* :ghpull:`11722`: Remove unnecessary hacks from setup.py.
+* :ghpull:`11802`: gridspec tutorial edits
+* :ghpull:`11801`: update annotations
+* :ghpull:`11734`: Small cleanups to backend_agg.
+* :ghpull:`11785`: Add missing API changes
+* :ghpull:`11788`: Fix DeprecationWarning on LocatableAxes
+* :ghpull:`11558`: Added xkcd Style for Markers (plot only)
+* :ghpull:`11755`: Add description for metadata argument of savefig
+* :ghpull:`11703`: FIX: make update-from also set the original face/edgecolor
+* :ghpull:`11765`: DOC: reorder examples and fix top level heading
+* :ghpull:`11724`: Fix cairo's image inversion and alpha misapplication.
+* :ghpull:`11726`: Consolidate agg-buffer examples.
+* :ghpull:`11754`: FIX: update spine positions before get extents
+* :ghpull:`11779`: Remove unused attribute in tests.
+* :ghpull:`11770`: Correct errors in documentation
+* :ghpull:`11778`: Unpin pandas in the CI.
+* :ghpull:`11772`: Clarifying an error message
+* :ghpull:`11760`: Switch grid documentation to numpydoc style
+* :ghpull:`11705`: Suppress/fix some test warnings.
+* :ghpull:`11763`: Pin OSX CI to numpy<1.15 to unbreak the build.
+* :ghpull:`11767`: Add tolerance to csd frequency test
+* :ghpull:`11757`: PGF backend output text color even if black
+* :ghpull:`11751`: Remove the unused 'verbose' option from setupext.
+* :ghpull:`9084`: Require calling a _BoundMethodProxy to get the underlying callable.
+* :ghpull:`11752`: Fix section level of Previous Whats New
+* :ghpull:`10513`: Replace most uses of getfilesystemencoding by os.fs{en,de}code.
+* :ghpull:`11739`: fix tight_layout bug #11737
+* :ghpull:`11744`: minor doc update on axes_grid1's inset_axes
+* :ghpull:`11729`: Pass 'figure' as kwarg to FigureCanvasQt5Agg super __init__.
+* :ghpull:`11736`: Remove unused needs_sphinx marker; move importorskip to toplevel.
+* :ghpull:`11731`: Directly get the size of the renderer buffer from the renderer.
+* :ghpull:`11717`: DOC: fix broken link in inset-locator example
+* :ghpull:`11723`: Start work on making colormaps picklable.
+* :ghpull:`11721`: Remove some references to colorConverter.
+* :ghpull:`11713`: Don't assume cwd in test_ipynb.
+* :ghpull:`11026`: ENH add an inset_axes to the axes class
+* :ghpull:`11712`: Fix drawing on qt+retina.
+* :ghpull:`11714`: docstring for Figure.tight_layout don't include renderer parameter
+* :ghpull:`8951`: Let QPaintEvent tell us what region to repaint.
+* :ghpull:`11234`: Add fig.add_artist method
+* :ghpull:`11706`: Remove unused private method.
+* :ghpull:`11637`: Split API changes into individual pages
+* :ghpull:`10403`: Deprecate LocatableAxes from toolkits
+* :ghpull:`11699`: Dedent overindented rst bullet lists.
+* :ghpull:`11701`: Use skipif instead of xfail when test dependencies are missing.
+* :ghpull:`11700`: Don't use pytest -rw now that pytest-warnings is builtin.
+* :ghpull:`11696`: Don't force backend in toolmanager example.
+* :ghpull:`11690`: Avoid using private APIs in examples.
+* :ghpull:`11684`: Style
+* :ghpull:`11666`: TESTS: Increase tolerance for aarch64 tests
+* :ghpull:`11680`: Boring style fixes.
+* :ghpull:`11678`: Use super() instead of manually fetching supermethods for parasite axes.
+* :ghpull:`11679`: Remove pointless draw() at the end of static examples.
+* :ghpull:`11676`: Remove unused C++ code.
+* :ghpull:`11010`: ENH: Add gridspec method to figure, and subplotspecs
+* :ghpull:`11672`: Add comment re: use of lru_cache in PsfontsMap.
+* :ghpull:`11674`: Boring style fixes.
+* :ghpull:`10954`: Cache various dviread constructs globally.
+* :ghpull:`9150`: Don't update style-blacklisted rcparams in rc_* functions
+* :ghpull:`10936`: Simplify tkagg C extension.
+* :ghpull:`11378`: SVG Backend gouraud_triangle Correction
+* :ghpull:`11383`: FIX: Improve *c* (color) kwarg checking in scatter and the related exceptions
+* :ghpull:`11627`: FIX: CL avoid fully collapsed axes
+* :ghpull:`11504`: Bump pgi requirement to 0.0.11.2.
+* :ghpull:`11640`: Fix barplot color if none and alpha is set
+* :ghpull:`11443`: changed paths in kwdocs
+* :ghpull:`11626`: Minor docstring fixes
+* :ghpull:`11631`: DOC: better tight_layout error handling
+* :ghpull:`11651`: Remove unused imports in examples
+* :ghpull:`11633`: Clean up next api_changes
+* :ghpull:`11643`: Fix deprecation messages.
+* :ghpull:`9223`: Set norm to log if bins=='log' in hexbin
+* :ghpull:`11622`: FIX: be forgiving about the event for enterEvent not having a pos
+* :ghpull:`11581`: backend switching.
+* :ghpull:`11616`: Fix some doctest issues
+* :ghpull:`10872`: Cleanup _plot_args_replacer logic
+* :ghpull:`11617`: Clean up what's new
+* :ghpull:`11610`: FIX: let colorbar extends work for PowerNorm
+* :ghpull:`11615`: Revert glyph warnings
+* :ghpull:`11614`: CI: don't run tox to test pytz
+* :ghpull:`11603`: Doc merge up
+* :ghpull:`11613`: Make flake8 exceptions explicit
+* :ghpull:`11611`: Fix css for parameter types
+* :ghpull:`10001`: MAINT/BUG: Don't use 5-sided quadrilaterals in Axes3D.plot_surface
+* :ghpull:`10234`: PowerNorm: do not clip negative values
+* :ghpull:`11398`: Simplify retrieval of cache and config directories
+* :ghpull:`10682`: ENH have ax.get_tightbbox have a bbox around all artists attached to axes.
+* :ghpull:`11590`: Don't associate Wx timers with the parent frame.
+* :ghpull:`10245`: Cache paths of fonts shipped with mpl relative to the mpl data path.
+* :ghpull:`11381`: Deprecate text.latex.unicode.
+* :ghpull:`11601`: FIX: subplots don't mutate kwargs passed by user.
+* :ghpull:`11609`: Remove _macosx.NavigationToolbar.
+* :ghpull:`11608`: Remove some conditional branches in examples for wx<4.
+* :ghpull:`11604`: TST: Place animation files in a temp dir.
+* :ghpull:`11605`: Suppress a spurious missing-glyph warning with ft2font.
+* :ghpull:`11360`: Pytzectomy
+* :ghpull:`10885`: Move GTK3 setupext checks to within the process.
+* :ghpull:`11081`: Help tool for Wx backends
+* :ghpull:`10851`: Wx Toolbar for ToolManager
+* :ghpull:`11247`: Remove mplDeprecation
+* :ghpull:`9795`: Backend switching
+* :ghpull:`9426`: Don't mark a patch transform as set if the parent transform is not set.
+* :ghpull:`9175`: Warn on freetype missing glyphs.
+* :ghpull:`11412`: Make contour and contourf color assignments consistent.
+* :ghpull:`11477`: Enable flake8 and re-enable it everywhere
+* :ghpull:`11165`: Fix figure window icon
+* :ghpull:`11584`: ENH: fix colorbar bad minor ticks
+* :ghpull:`11438`: ENH: add get_gridspec convenience method to subplots
+* :ghpull:`11451`: Cleanup Matplotlib API docs
+* :ghpull:`11579`: DOC update some examples to use constrained_layout=True
+* :ghpull:`11594`: Some more docstring cleanups.
+* :ghpull:`11593`: Skip wx interactive tests on OSX.
+* :ghpull:`11592`: Remove some extra spaces in docstrings/comments.
+* :ghpull:`11585`: Some doc cleanup of Triangulation
+* :ghpull:`10474`: Use TemporaryDirectory instead of mkdtemp in a few places.
+* :ghpull:`11240`: Deprecate the examples.directory rcParam.
+* :ghpull:`11370`: Sorting drawn artists by their zorder when blitting using FuncAnimation
+* :ghpull:`11576`: Add parameter doc to save_diff_image
+* :ghpull:`11573`: Inline setup_external_compile into setupext.
+* :ghpull:`11571`: Cleanup stix_fonts_demo example.
+* :ghpull:`11563`: Use explicit signature in pyplot.close()
+* :ghpull:`9801`: ENH: Change default Autodatelocator *interval_multiples*
+* :ghpull:`11570`: More simplifications to FreeType setup on Windows.
+* :ghpull:`11401`: Some py3fications.
+* :ghpull:`11566`: Cleanups.
+* :ghpull:`11520`: Add private API retrieving the current event loop and backend GUI info.
+* :ghpull:`11544`: Restore axes sharedness when unpickling.
+* :ghpull:`11568`: Figure.text changes
+* :ghpull:`11248`: Simplify FreeType Windows build.
+* :ghpull:`11556`: Fix colorbar bad ticks
+* :ghpull:`11494`: Fix CI install of wxpython.
+* :ghpull:`11564`: triinterpolate cleanups.
+* :ghpull:`11548`: Use numpydoc-style parameter lists for choices
+* :ghpull:`9583`: Add edgecolors kwarg to contourf
+* :ghpull:`10275`: Update contour.py and widget.py
+* :ghpull:`11547`: Fix example links
+* :ghpull:`11555`: Fix spelling in title
+* :ghpull:`11404`: FIX: don't include text at -inf in bbox
+* :ghpull:`11455`: Fixing the issue where right column and top row generate wrong stream…
+* :ghpull:`11297`: Prefer warn_deprecated instead of warnings.warn.
+* :ghpull:`11495`: Update the documentation guidelines
+* :ghpull:`11545`: Doc: fix x(filled) marker image
+* :ghpull:`11287`: Maintain artist addition order in Axes.mouseover_set.
+* :ghpull:`11530`: FIX: Ensuring both x and y attrs of LocationEvent are int
+* :ghpull:`10336`: Use Integral and Real in typechecks rather than explicit types.
+* :ghpull:`10298`: Apply gtk3 background.
+* :ghpull:`10297`: Fix gtk3agg alpha channel.
+* :ghpull:`9094`: axisbelow should just set zorder.
+* :ghpull:`11542`: Documentation polar grids
+* :ghpull:`11459`: Doc changes in add_subplot and add_axes
+* :ghpull:`10908`: Make draggable callbacks check that artist has not been removed.
+* :ghpull:`11522`: Small cleanups.
+* :ghpull:`11539`: DOC: talk about sticky edges in Axes.margins
+* :ghpull:`11540`: adding axes to module list
+* :ghpull:`11537`: Fix invalid value warning when autoscaling with no data limits
+* :ghpull:`11512`: Skip 3D rotation example in sphinx gallery
+* :ghpull:`11538`: Re-enable pep8 on examples folder
+* :ghpull:`11136`: Move remaining examples from api/
+* :ghpull:`11519`: Raise ImportError on failure to import backends.
+* :ghpull:`11529`: add documentation for quality in savefig
+* :ghpull:`11528`: Replace an unnecessary zip() in mplot3d by numpy ops.
+* :ghpull:`11492`: add __repr__ to GridSpecBase
+* :ghpull:`11521`: Add missing ``.`` to rcParam
+* :ghpull:`11491`: Fixed the source path on windows in rcparam_role
+* :ghpull:`11514`: Remove embedding_in_tk_canvas, which demonstrated a private API.
+* :ghpull:`11507`: Fix embedding_in_tk_canvas example.
+* :ghpull:`11513`: Changed docstrings in Text
+* :ghpull:`11503`: Remove various mentions of the now removed GTK(2) backend.
+* :ghpull:`11493`: Update a test to a figure-equality test.
+* :ghpull:`11501`: Treat empty $MPLBACKEND as an unset value.
+* :ghpull:`11395`: Various fixes to deprecated and warn_deprecated.
+* :ghpull:`11408`: Figure equality-based tests.
+* :ghpull:`11461`: Fixed bug in rendering font property kwargs list
+* :ghpull:`11397`: Replace ACCEPTS by standard numpydoc params table.
+* :ghpull:`11483`: Use pip requirements files for travis build
+* :ghpull:`11481`: remove more pylab references
+* :ghpull:`10940`: Run flake8 instead of pep8 on Python 3.6
+* :ghpull:`11476`: Remove pylab references
+* :ghpull:`11448`: Link rcParams role to docs
+* :ghpull:`11424`: DOC: point align-ylabel demo to new align-label functions
+* :ghpull:`11454`: add subplots to axes documentation
+* :ghpull:`11470`: Hyperlink DOIs against preferred resolver
+* :ghpull:`11421`: DOC: make signature background grey
+* :ghpull:`11457`: Search $CPATH for include directories
+* :ghpull:`11456`: DOC: fix minor typo in figaspect
+* :ghpull:`11293`: Lim parameter naming
+* :ghpull:`11447`: Do not use class attributes as defaults for instance attributes
+* :ghpull:`11449`: Slightly improve doc sidebar layout
+* :ghpull:`11224`:  Add deprecation messages for unused kwargs in FancyArrowPatch
+* :ghpull:`11437`: Doc markersupdate
+* :ghpull:`11417`: FIX: better default spine path (for logit)
+* :ghpull:`11406`: Backport PR #11403 on branch v2.2.2-doc
+* :ghpull:`11427`: FIX: pathlib in nbagg
+* :ghpull:`11428`: Doc: Remove huge note box from examples.
+* :ghpull:`11392`: Deprecate the ``verts`` kwarg to ``scatter``.
+* :ghpull:`8834`: WIP: Contour log extension
+* :ghpull:`11402`: Remove unnecessary str calls.
+* :ghpull:`11399`: Autogenerate credits.rst
+* :ghpull:`11382`: plt.subplots and plt.figure docstring changes
+* :ghpull:`11388`: DOC: Constrained layout tutorial improvements
+* :ghpull:`11400`: Correct docstring for axvspan()
+* :ghpull:`11396`: Remove some (minor) comments regarding Py2.
+* :ghpull:`11210`: FIX: don't pad axes for ticks if they aren't visible or axis off
+* :ghpull:`11362`: Fix tox configuration
+* :ghpull:`11366`: Improve docstring of Axes.spy
+* :ghpull:`11289`: io.open and codecs.open are redundant with open on Py3.
+* :ghpull:`11213`: MNT: deprecate patches.YAArrow
+* :ghpull:`11352`: Catch a couple of test warnings
+* :ghpull:`11292`: Simplify cleanup decorator implementation.
+* :ghpull:`11349`: Remove non-existent files from MANIFEST.IN
+* :ghpull:`8774`: Git issue #7216 - Add a "ruler" tool to the plot UI
+* :ghpull:`11348`: Make OSX's blit() have a consistent signature with other backends.
+* :ghpull:`11345`: Revert "Deprecate text.latex.unicode."
+* :ghpull:`11250`: [WIP] Add tutorial for LogScale
+* :ghpull:`11223`: Add an arrow tutorial
+* :ghpull:`10212`: Categorical refactor
+* :ghpull:`11339`: Convert Ellipse docstring to numpydoc
+* :ghpull:`11255`: Deprecate text.latex.unicode.
+* :ghpull:`11338`: Fix typos
+* :ghpull:`11332`: Let plt.rc = matplotlib.rc, instead of being a trivial wrapper.
+* :ghpull:`11331`: multiprocessing.set_start_method() --> mp.set_start_method()
+* :ghpull:`9948`: Add ``ealpha`` option to ``errorbar``
+* :ghpull:`11329`: Minor docstring update of thumbnail
+* :ghpull:`9551`: Refactor backend loading
+* :ghpull:`11328`: Undeprecate Polygon.xy from #11299
+* :ghpull:`11318`: Improve docstring of imread() and imsave()
+* :ghpull:`11311`: Simplify image.thumbnail.
+* :ghpull:`11225`: Add stacklevel=2 to some more warnings.warn() calls
+* :ghpull:`11313`: Add changelog entry for removal of proprietary sphinx directives.
+* :ghpull:`11323`: Fix infinite loop for connectionstyle + add some tests
+* :ghpull:`11314`: API changes: use the heading format defined in README.txt
+* :ghpull:`11320`: Py3fy multiprocess example.
+* :ghpull:`6254`: adds two new cyclic color schemes
+* :ghpull:`11268`: DOC: Sanitize some internal documentation links
+* :ghpull:`11300`: Start replacing ACCEPTS table by parsing numpydoc.
+* :ghpull:`11298`: Automagically set the stacklevel on warnings.
+* :ghpull:`11277`: Avoid using MacRoman encoding.
+* :ghpull:`11295`: Use sphinx builtin only directive instead of custom one.
+* :ghpull:`11305`: Reuse the noninteractivity warning from Figure.show in _Backend.show.
+* :ghpull:`11307`: Avoid recursion for subclasses of str that are also "PathLike" in to_filehandle()
+* :ghpull:`11304`: Re-remove six from INSTALL.rst.
+* :ghpull:`11299`: Fix a bunch of doc/comment typos in patches.py.
+* :ghpull:`11301`: Undefined name: cbook --> matplotlib.cbook
+* :ghpull:`11254`: Update INSTALL.rst.
+* :ghpull:`11267`: FIX: allow nan values in data for plt.hist
+* :ghpull:`11271`: Better argspecs for Axes.stem
+* :ghpull:`11272`: Remove commented-out code, unused imports
+* :ghpull:`11280`: Trivial cleanups
+* :ghpull:`10514`: Cleanup/update cairo + gtk compatibility matrix.
+* :ghpull:`11282`: Reduce the use of C++ exceptions
+* :ghpull:`11263`: Fail gracefully if can't decode font names
+* :ghpull:`11278`: Remove conditional path for sphinx <1.3 in plot_directive.
+* :ghpull:`11273`: Include template matplotlibrc in package_data.
+* :ghpull:`11265`: Minor cleanups.
+* :ghpull:`11249`: Simplify FreeType build.
+* :ghpull:`11158`: Remove dependency on six - we're Py3 only now!
+* :ghpull:`10050`: Update Legend draggable API
+* :ghpull:`11206`: More cleanups
+* :ghpull:`11001`: DOC: improve legend bbox_to_anchor description
+* :ghpull:`11258`: Removed comment in AGG backend that is no longer applicable
+* :ghpull:`11062`: FIX: call constrained_layout twice
+* :ghpull:`11251`: Re-run boilerplate.py.
+* :ghpull:`11228`: Don't bother checking luatex's version.
+* :ghpull:`11207`: Update venv gui docs wrt availability of PySide2.
+* :ghpull:`11236`: Minor cleanups to setupext.
+* :ghpull:`11239`: Reword the timeout error message in cbook._lock_path.
+* :ghpull:`11204`: Test that boilerplate.py is correctly run.
+* :ghpull:`11172`: ENH add rcparam to legend_title
+* :ghpull:`11229`: Simplify lookup of animation external commands.
+* :ghpull:`9086`: Add SVG animation.
+* :ghpull:`11212`: Fix CirclePolygon __str__ + adding tests
+* :ghpull:`6737`: Ternary
+* :ghpull:`11216`: Yet another set of simplifications.
+* :ghpull:`11056`: Simplify travis setup a bit.
+* :ghpull:`11211`: Revert explicit linestyle kwarg on step()
+* :ghpull:`11205`: Minor cleanups to pyplot.
+* :ghpull:`11174`: Replace numeric loc by position string
+* :ghpull:`11208`: Don't crash qt figure options on unknown marker styles.
+* :ghpull:`11195`: Some unrelated cleanups.
+* :ghpull:`11192`: Don't use deprecated get_texcommand in backend_pgf.
+* :ghpull:`11197`: Simplify demo_ribbon_box.py.
+* :ghpull:`11137`: Convert ``**kwargs`` to named arguments for a clearer API
+* :ghpull:`10982`: Improve docstring of Axes.imshow
+* :ghpull:`11182`: Use GLib.MainLoop() instead of deprecated GObject.MainLoop()
+* :ghpull:`11185`: Fix undefined name error in backend_pgf.
+* :ghpull:`10321`: Ability to scale axis by a fixed factor
+* :ghpull:`8787`: Faster path drawing for the cairo backend (cairocffi only)
+* :ghpull:`4559`: tight_layout: Use a different default gridspec
+* :ghpull:`11179`: Convert internal tk focus helper to a context manager
+* :ghpull:`11176`: Allow creating empty closed paths
+* :ghpull:`10339`: Pass explicit font paths to fontspec in backend_pgf.
+* :ghpull:`9832`: Minor cleanup to Text class.
+* :ghpull:`11141`: Remove mpl_examples symlink.
+* :ghpull:`10715`: ENH: add title_fontsize to legend
+* :ghpull:`11166`: Set stacklevel to 2 for backend_wx
+* :ghpull:`10934`: Autogenerate (via boilerplate) more of pyplot.
+* :ghpull:`9298`: Cleanup blocking_input.
+* :ghpull:`6329`: Set _text to '' if Text.set_text argument is None
+* :ghpull:`11157`: Fix contour return link
+* :ghpull:`11146`: Explicit args and refactor Axes.margins
+* :ghpull:`11145`: Use kwonlyargs instead of popping from kwargs
+* :ghpull:`11119`: PGF: Get unitless positions from Text elements (fix #11116)
+* :ghpull:`9078`: New anchored direction arrows
+* :ghpull:`11144`: Remove toplevel unit/ directory.
+* :ghpull:`11148`: remove use of subprocess compatibility shim
+* :ghpull:`11143`: Use debug level for debugging messages
+* :ghpull:`11142`: Finish removing future imports.
+* :ghpull:`11130`: Don't include the postscript title if it is not latin-1 encodable.
+* :ghpull:`11093`: DOC: Fixup to AnchoredArtist examples in the gallery
+* :ghpull:`11132`: pillow-dependency update
+* :ghpull:`10446`: implementation of the copy canvas tool
+* :ghpull:`9131`: FIX: prevent the canvas from jump sizes due to DPI changes
+* :ghpull:`9454`: Batch ghostscript converter.
+* :ghpull:`10545`: Change manual kwargs popping to kwonly arguments.
+* :ghpull:`10950`: Actually ignore invalid log-axis limit setting
+* :ghpull:`11096`: Remove support for bar(left=...) (as opposed to bar(x=...)).
+* :ghpull:`11106`: py3fy art3d.
+* :ghpull:`11085`: Use GtkShortcutsWindow for Help tool.
+* :ghpull:`11099`: Deprecate certain marker styles that have simpler synonyms.
+* :ghpull:`11100`: Some more deprecations of old, old stuff.
+* :ghpull:`11098`: Make Marker.get_snap_threshold() always return a scalar.
+* :ghpull:`11097`: Schedule a removal date for passing normed (instead of density) to hist.
+* :ghpull:`9706`: Masking invalid x and/or weights in hist
+* :ghpull:`11080`: Py3fy backend_qt5 + other cleanups to the backend.
+* :ghpull:`10967`: updated the pyplot fill_between example to elucidate the premise;maki…
+* :ghpull:`11075`: Drop alpha channel when saving comparison failure diff image.
+* :ghpull:`9022`: Help tool
+* :ghpull:`11045`: Help tool.
+* :ghpull:`11076`: Don't create texput.{aux,log} in rootdir everytime tests are run.
+* :ghpull:`11073`: py3fication of some tests.
+* :ghpull:`11074`: bytes % args is back since py3.5
+* :ghpull:`11066`: Use chained comparisons where reasonable.
+* :ghpull:`11061`: Changed tight_layout doc strings
+* :ghpull:`11064`: Minor docstring format cleanup
+* :ghpull:`11055`: Remove setup_tests_only.py.
+* :ghpull:`11057`: Update Ellipse position with ellipse.center
+* :ghpull:`10435`: Pathlibify font_manager (only internally, doesn't change the API).
+* :ghpull:`10442`: Make the filternorm prop of Images a boolean rather than a {0,1} scalar.
+* :ghpull:`9855`: ENH: make ax.get_position apply aspect
+* :ghpull:`9987`: MNT: hist2d now uses pcolormesh instead of pcolorfast
+* :ghpull:`11014`: Merge v2.2.x into master
+* :ghpull:`11000`: FIX: improve Text repr to not error if non-float x and y.
+* :ghpull:`10910`: FIX: return proper legend window extent
+* :ghpull:`10915`: FIX: tight_layout having negative width axes
+* :ghpull:`10408`: Factor out common code in _process_unit_info
+* :ghpull:`10960`: Added share_tickers parameter to axes._AxesBase.twinx/y
+* :ghpull:`10971`: Skip pillow animation test if pillow not importable
+* :ghpull:`10970`: Simplify/fix some manual manipulation of len(args).
+* :ghpull:`10958`: Simplify the grouper implementation.
+* :ghpull:`10508`: Deprecate FigureCanvasQT.keyAutoRepeat.
+* :ghpull:`10607`: Move notify_axes_change to FigureManagerBase class.
+* :ghpull:`10215`: Test timers and (a bit) key_press_event for interactive backends.
+* :ghpull:`10955`: Py3fy cbook, compare_backend_driver_results
+* :ghpull:`10680`: Rewrite the tk C blitting code
+* :ghpull:`9498`: Move title up if x-axis is on the top of the figure
+* :ghpull:`10942`: Make active param in CheckBottons optional, default false
+* :ghpull:`10943`: Allow pie textprops to take alignment and rotation arguments
+* :ghpull:`10780`: Fix scaling of RadioButtons
+* :ghpull:`10938`: Fix two undefined names
+* :ghpull:`10685`: fix plt.show doesn't warn if a non-GUI backend
+* :ghpull:`10689`: Declare global variables that are created elsewhere
+* :ghpull:`10845`: WIP: first draft at replacing linkcheker
+* :ghpull:`10898`: Replace "matplotlibrc" by "rcParams" in the docs where applicable.
+* :ghpull:`10926`: Some more removals of deprecated APIs.
+* :ghpull:`9173`: dynamically generate pyplot functions
+* :ghpull:`10918`: Use function signatures in boilerplate.py.
+* :ghpull:`10914`: Changed pie charts default shape to circle and added tests
+* :ghpull:`10864`: ENH: Stop mangling default figure file name if file exists
+* :ghpull:`10562`: Remove deprecated code in image.py
+* :ghpull:`10798`: FIX: axes limits reverting to automatic when sharing
+* :ghpull:`10485`: Remove the 'hold' kwarg from codebase
+* :ghpull:`10571`: Use np.full{,_like} where appropriate. [requires numpy>=1.12]
+* :ghpull:`10913`: Rely a bit more on rc_context.
+* :ghpull:`10299`: Invalidate texmanager cache when any text.latex.* rc changes.
+* :ghpull:`10906`: Deprecate ImageComparisonTest.
+* :ghpull:`10904`: Improve docstring of clabel()
+* :ghpull:`10912`: remove unused matplotlib.testing import
+* :ghpull:`10876`: [wip] Replace _remove_method by _on_remove list of callbacks
+* :ghpull:`10692`: Update afm docs and internal data structures
+* :ghpull:`10896`: Update INSTALL.rst.
+* :ghpull:`10905`: Inline knownfailureif.
+* :ghpull:`10907`: No need to mark (unicode) strings as u"foo" anymore.
+* :ghpull:`10903`: Py3fy testing machinery.
+* :ghpull:`10901`: Remove Py2/3 portable code guide.
+* :ghpull:`10900`: Remove some APIs deprecated in mpl2.1.
+* :ghpull:`10902`: Kill some Py2 docs.
+* :ghpull:`10887`: Added feature (Make pie charts circular by default #10789)
+* :ghpull:`10884`: Style fixes to setupext.py.
+* :ghpull:`10879`: Deprecate two-args for cycler() and set_prop_cycle()
+* :ghpull:`10865`: DOC: use OO-ish interface in image, contour, field examples
+* :ghpull:`8479`: FIX markerfacecolor / mfc not in rcparams
+* :ghpull:`10314`: setattr context manager.
+* :ghpull:`10013`: Allow rasterization for 3D plots
+* :ghpull:`10158`: Allow mplot3d rasterization; adjacent cleanups.
+* :ghpull:`10871`: Rely on rglob support rather than os.walk.
+* :ghpull:`10878`:  Change hardcoded brackets for Toolbar message
+* :ghpull:`10708`: Py3fy webagg/nbagg.
+* :ghpull:`10862`: py3ify table.py and correct some docstrings
+* :ghpull:`10810`: Fix for plt.plot() does not support structured arrays as data= kwarg
+* :ghpull:`10861`: More python3 cleanup
+* :ghpull:`9903`: ENH: adjustable colorbar ticks
+* :ghpull:`10831`: Minor docstring updates on binning related plot functions
+* :ghpull:`9571`: Remove LaTeX checking in setup.py.
+* :ghpull:`10097`: Reset extents in RectangleSelector when not interactive on press.
+* :ghpull:`10686`: fix BboxConnectorPatch does not show facecolor
+* :ghpull:`10801`: Fix undefined name.  Add animation tests.
+* :ghpull:`10857`: FIX: ioerror font cache, second try
+* :ghpull:`10796`: Added descriptions for line bars and markers examples
+* :ghpull:`10846`: Unsixification
+* :ghpull:`10852`: Update docs re: pygobject in venv.
+* :ghpull:`10847`: Py3fy axis.py.
+* :ghpull:`10834`: Minor docstring updates on spectral plot functions
+* :ghpull:`10778`: wx_compat is no more.
+* :ghpull:`10609`: More wx cleanup.
+* :ghpull:`10826`: Py3fy dates.py.
+* :ghpull:`10837`: Correctly display error when running setup.py test.
+* :ghpull:`10838`: Don't use private attribute in tk example.  Fix Toolbar class rename.
+* :ghpull:`10835`: DOC: Make colorbar tutorial examples look like colorbars.
+* :ghpull:`10823`: Add some basic smoketesting for webagg (and wx).
+* :ghpull:`10828`: Add print_rgba to backend_cairo.
+* :ghpull:`10830`: Make function signatures more explicit
+* :ghpull:`10829`: Use long color names for default rcParams
+* :ghpull:`9776`: WIP: Lockout new converters Part 2
+* :ghpull:`10799`: DOC: make legend docstring interpolated
+* :ghpull:`10818`: Deprecate vestigial Annotation.arrow.
+* :ghpull:`10817`: Add test to imread from url.
+* :ghpull:`10696`: Simplify venv docs.
+* :ghpull:`10724`: Py3fication of unicode.
+* :ghpull:`10815`: API: shift deprecation of TempCache class to 3.0
+* :ghpull:`10725`: FIX/TST constrained_layout remove test8 duplication
+* :ghpull:`10705`: FIX: enable extend kwargs with log scale colorbar
+* :ghpull:`10400`: numpydoc-ify art3d docstrings
+* :ghpull:`10723`: repr style fixes.
+* :ghpull:`10592`: Rely on generalized * and ** unpackings where possible.
+* :ghpull:`9475`: Declare property aliases in a single place
+* :ghpull:`10793`: A hodgepodge of Py3 & style fixes.
+* :ghpull:`10794`: fixed comment typo
+* :ghpull:`10768`: Fix crash when imshow encounters longdouble data
+* :ghpull:`10774`: Remove dead wx testing code.
+* :ghpull:`10756`: Fixes png showing inconsistent inset_axes position
+* :ghpull:`10773`: Consider alpha channel from RGBA color of text for SVG backend text opacity rendering
+* :ghpull:`10772`: API: check locator and formatter args when passed
+* :ghpull:`10713`: Implemented support for 'markevery' in prop_cycle
+* :ghpull:`10751`: make centre_baseline legal for Text.set_verticalalignment
+* :ghpull:`10771`: FIX/TST OS X builds
+* :ghpull:`10742`: FIX: reorder linewidth setting before linestyle
+* :ghpull:`10714`: sys.platform is normalized to "linux" on Py3.
+* :ghpull:`10542`: Minor cleanup: PEP8, PEP257
+* :ghpull:`10636`: Remove some wx version checks.
+* :ghpull:`9731`: Make legend title fontsize obey fontsize kwarg by default
+* :ghpull:`10697`: Remove special-casing of _remove_method when pickling.
+* :ghpull:`10701`: Autoadd removal version to deprecation message.
+* :ghpull:`10699`: Remove incorrect warning in gca().
+* :ghpull:`10674`: Fix getting polar axes in plt.polar()
+* :ghpull:`10564`: Nested classes and instancemethods are directly picklable on Py3.5+.
+* :ghpull:`10107`: Fix stay_span to reset onclick in SpanSelector.
+* :ghpull:`10693`: Make markerfacecolor work for 3d scatterplots
+* :ghpull:`10596`: Switch to per-file locking.
+* :ghpull:`10532`: Py3fy backend_pgf.
+* :ghpull:`10618`: Fixes #10501.  python3 support and pep8 in jpl_units
+* :ghpull:`10652`: Some py3fication for matplotlib/__init__, setupext.
+* :ghpull:`10522`: Py3fy font_manager.
+* :ghpull:`10666`: More figure-related doc updates
+* :ghpull:`10507`: Remove Python 2 code from C extensions
+* :ghpull:`10679`: Small fixes to gtk3 examples.
+* :ghpull:`10426`: Delete deprecated backends
+* :ghpull:`10488`: Bug Fix - Polar plot rectangle patch not transformed correctly (#8521)
+* :ghpull:`9814`: figure_enter_event uses now LocationEvent instead of Event. Fix issue #9812.
+* :ghpull:`9918`: Remove old nose testing code
+* :ghpull:`10672`: Deprecation fixes.
+* :ghpull:`10608`: Remove most APIs deprecated in 2.1.
+* :ghpull:`10653`: Mock is in stdlib in Py3.
+* :ghpull:`10603`: Remove workarounds for numpy<1.10.
+* :ghpull:`10660`: Work towards removing reuse-of-axes-on-collision.
+* :ghpull:`10661`: Homebrew python is now python 3
+* :ghpull:`10656`: Minor fixes to event handling docs.
+* :ghpull:`10635`: Simplify setupext by using globs.
+* :ghpull:`10632`: Support markers from Paths that consist of one line segment
+* :ghpull:`10558`: Remove if six.PY2 code paths from boilerplate.py
+* :ghpull:`10640`: Fix extra and missing spaces in constrainedlayout warning.
+* :ghpull:`10624`: Some trivial py3fications.
+* :ghpull:`10548`: Implement PdfPages for backend pgf
+* :ghpull:`10614`: Use np.stack instead of list(zip()) in colorbar.py.
+* :ghpull:`10621`: Cleanup and py3fy backend_gtk3.
+* :ghpull:`10615`: More style fixes.
+* :ghpull:`10604`: Minor style fixes.
+* :ghpull:`10565`: Strip python 2 code from subprocess.py
+* :ghpull:`10605`: Bump a tolerance in test_axisartist_floating_axes.
+* :ghpull:`7853`: Use exact types for Py_BuildValue.
+* :ghpull:`10591`: Switch to @-matrix multiplication.
+* :ghpull:`10570`: Fix check_shared in test_subplots.
+* :ghpull:`10569`: Various style fixes.
+* :ghpull:`10593`: Use 'yield from' where appropriate.
+* :ghpull:`10577`: Minor simplification to Figure.__getstate__ logic.
+* :ghpull:`10549`: Source typos
+* :ghpull:`10525`: Convert six.moves.xrange() to range() for Python 3
+* :ghpull:`10541`: More argumentless (py3) super()
+* :ghpull:`10539`: TST: Replace assert_equal with plain asserts.
+* :ghpull:`10534`: Modernize cbook.get_realpath_and_stat.
+* :ghpull:`10524`: Remove unused private _StringFuncParser.
+* :ghpull:`10470`: Remove Python 2 code from setup
+* :ghpull:`10528`: py3fy examples
+* :ghpull:`10520`: Py3fy mathtext.py.
+* :ghpull:`10527`: Switch to argumentless (py3) super().
+* :ghpull:`10523`: The current master branch is now python 3 only.
+* :ghpull:`10515`: Use feature detection instead of version detection
+* :ghpull:`10432`: Use some new Python3 types
+* :ghpull:`10475`: Use HTTP Secure for matplotlib.org
+* :ghpull:`10383`: Fix some C++ warnings
+* :ghpull:`10498`: Tell the lgtm checker that the project is Python 3 only
+* :ghpull:`10505`: Remove backport of which()
+* :ghpull:`10483`: Remove backports.functools_lru_cache
+* :ghpull:`10492`: Avoid UnboundLocalError in drag_pan.
+* :ghpull:`10491`: Simplify Mac builds on Travis
+* :ghpull:`10481`: Remove python 2 compatibility code from dviread
+* :ghpull:`10447`: Remove Python 2 compatibility code from backend_pdf.py
+* :ghpull:`10468`: Replace is_numlike by isinstance(..., numbers.Number).
+* :ghpull:`10439`: mkdir is in the stdlib in Py3.
+* :ghpull:`10392`: FIX: make set_text(None) keep string empty instead of "None"
+* :ghpull:`10425`: API: only support python 3.5+
+* :ghpull:`10316`: TST FIX pyqt5 5.9
+* :ghpull:`4625`: hist2d() is now using pcolormesh instead of pcolorfast
+
+Issues (123):
+
+* :ghissue:`12133`: Streamplot does not work for 29x29 grid
+* :ghissue:`4429`: Error calculating scaling for radiobutton widget.
+* :ghissue:`3293`: markerfacecolor / mfc not in rcparams
+* :ghissue:`8109`: Cannot set the markeredgecolor by default
+* :ghissue:`7942`: Extend keyword doesn't work with log scale.
+* :ghissue:`5571`: Finish reorganizing examples
+* :ghissue:`8307`: Colorbar with imshow(logNorm) shows unexpected minor ticks
+* :ghissue:`6992`: plt.hist fails when data contains nan values
+* :ghissue:`6483`: Range determination for data with NaNs
+* :ghissue:`8059`: BboxConnectorPatch does not show facecolor
+* :ghissue:`12134`: tight_layout flips images when making plots without displaying them
+* :ghissue:`6739`: Make matplotlib fail more gracefully in headless environments
+* :ghissue:`3679`: Runtime detection for default backend
+* :ghissue:`11966`: CartoPy code gives attribute error
+* :ghissue:`11844`: Backend related issues with matplotlib 3.0.0rc1
+* :ghissue:`12095`: colorbar minorticks (possibly release critical for 3.0)
+* :ghissue:`12108`: Broken doc build with sphinx 1.8
+* :ghissue:`7366`: handle repaint requests better it qtAgg
+* :ghissue:`11985`: Single shot timer not working correctly with MacOSX backend
+* :ghissue:`10948`: OSX backend raises deprecation warning for enter_notify_event
+* :ghissue:`11970`: Legend.get_window_extent now requires a renderer
+* :ghissue:`8293`: investigate whether using a single instance of ghostscript for ps->png conversion can speed up the Windows build
+* :ghissue:`7707`: Replace pep8 by pycodestyle for style checking
+* :ghissue:`9135`: rcdefaults, rc_file_defaults, rc_file should not update backend if it has already been selected
+* :ghissue:`12015`: AttributeError with GTK3Agg backend
+* :ghissue:`11913`: plt.contour levels parameter don't work as intended if receive a single int
+* :ghissue:`11846`: macosx backend won't load
+* :ghissue:`11792`: Newer versions of ImageMagickWriter not found on windows
+* :ghissue:`11858`: Adding "pie of pie" and "bar of pie" functionality
+* :ghissue:`11852`: get_backend() backward compatibility
+* :ghissue:`11629`: Importing qt_compat when no Qt binding is installed fails with NameError instead of ImportError
+* :ghissue:`11842`: Failed nose import in test_annotation_update
+* :ghissue:`11252`: Some API removals not documented
+* :ghissue:`9404`: Drop support for python 2
+* :ghissue:`2625`: Markers in XKCD style
+* :ghissue:`11749`: metadata kwarg to savefig is not documented
+* :ghissue:`11702`: Setting alpha on legend handle changes patch color
+* :ghissue:`8798`: gtk3cairo draw_image does not respect origin and mishandles alpha
+* :ghissue:`11737`: Bug in tight_layout
+* :ghissue:`11373`: Passing an incorrectly sized colour list to scatter should raise a relevant error
+* :ghissue:`11756`: pgf backend doesn't set color of text when the color is black
+* :ghissue:`11766`: test_axes.py::test_csd_freqs failing with numpy 1.15.0 on macOS
+* :ghissue:`11750`: previous whats new is overindented on "what's new in mpl3.0 page"
+* :ghissue:`11728`: Qt5 Segfaults on window resize
+* :ghissue:`11709`: Repaint region is wrong on Retina display with Qt5
+* :ghissue:`11578`: wx segfaulting on OSX travis tests
+* :ghissue:`11628`: edgecolor argument not working in matplotlib.pyplot.bar
+* :ghissue:`11625`: plt.tight_layout() does not work with plt.subplot2grid
+* :ghissue:`4993`: Version ~/.cache/matplotlib
+* :ghissue:`7842`: If hexbin has logarithmic bins, use log formatter for colorbar
+* :ghissue:`11607`: AttributeError: 'QEvent' object has no attribute 'pos'
+* :ghissue:`11486`: Colorbar does not render with PowerNorm and min extend when using imshow
+* :ghissue:`11582`: wx segfault
+* :ghissue:`11515`: using 'sharex' once in 'subplots' function can affect subsequent calles to 'subplots'
+* :ghissue:`10269`: input() blocks any rendering and event handling
+* :ghissue:`10345`: Python 3.4 with Matplotlib 1.5 vs Python 3.6 with Matplotlib 2.1
+* :ghissue:`10443`: Drop use of pytz dependency in next major release
+* :ghissue:`10572`: contour and contourf treat levels differently
+* :ghissue:`11123`: Crash when interactively adding a number of subplots
+* :ghissue:`11550`: Undefined names: 'obj_type' and 'cbook'
+* :ghissue:`11138`: Only the first figure window has mpl icon, all other figures have default tk icon.
+* :ghissue:`11510`: extra minor-ticks on the colorbar when used with the extend option
+* :ghissue:`11369`: zorder of Artists not being respected when blitting with FuncAnimation
+* :ghissue:`11452`: Streamplot ignores rightmost column and topmost row of velocity data
+* :ghissue:`11284`: imshow of multiple images produces old pixel values printed in status bar
+* :ghissue:`11496`: MouseEvent.x and .y have different types
+* :ghissue:`11534`: Cross-reference margins and sticky edges
+* :ghissue:`8556`: Add images of markers to the list of markers
+* :ghissue:`11386`: Logit scale doesn't position x/ylabel correctly first draw
+* :ghissue:`11384`: Undefined name 'Path' in backend_nbagg.py
+* :ghissue:`11426`: nbagg broken on master.  'Path' is not defined...
+* :ghissue:`11390`: Internal use of deprecated code
+* :ghissue:`11203`: tight_layout reserves tick space even if disabled
+* :ghissue:`11361`: Tox.ini does not work out of the box
+* :ghissue:`11253`: Problem while changing current figure size in Jupyter notebook
+* :ghissue:`11219`: Write an arrow tutorial
+* :ghissue:`11322`: Really deprecate Patches.xy?
+* :ghissue:`11294`: ConnectionStyle Angle3 hangs with specific parameters
+* :ghissue:`9518`: Some ConnectionStyle not working
+* :ghissue:`11306`: savefig and path.py
+* :ghissue:`11077`: Font "DejaVu Sans" can only be used through fallback
+* :ghissue:`10717`: Failure to find matplotlibrc when testing installed distribution
+* :ghissue:`9912`: Cleaning up variable argument signatures
+* :ghissue:`3701`: unit tests should compare pyplot.py with output from boilerplate.py
+* :ghissue:`11183`: Undefined name 'system_fonts' in backend_pgf.py
+* :ghissue:`11101`: Crash on empty patches
+* :ghissue:`11124`: [Bug] savefig cannot save file with a Unicode name
+* :ghissue:`7733`: Trying to set_ylim(bottom=0) on a log scaled axis changes plot
+* :ghissue:`10319`: TST: pyqt 5.10 breaks pyqt5 interactive tests
+* :ghissue:`10676`: Add source code to documentation
+* :ghissue:`9207`: axes has no method to return new position after box is adjusted due to aspect ratio...
+* :ghissue:`4615`: hist2d with log xy axis
+* :ghissue:`10996`: Plotting text with datetime axis causes warning
+* :ghissue:`7582`: Report date and time of cursor position on a plot_date plot
+* :ghissue:`10114`: Remove mlab from examples
+* :ghissue:`10342`: imshow longdouble not truly supported
+* :ghissue:`8062`: tight_layout + lots of subplots + long ylabels inverts yaxis
+* :ghissue:`4413`: Long axis title alters xaxis length and direction with ``plt.tight_layout()``
+* :ghissue:`1415`: Plot title should be shifted up when xticks are set to the top of the plot
+* :ghissue:`10789`: Make pie charts circular by default
+* :ghissue:`10941`: Cannot set text alignment in pie chart
+* :ghissue:`7908`: plt.show doesn't warn if a non-GUI backend is being used
+* :ghissue:`10502`: 'FigureManager' is an undefined name in backend_wx.py
+* :ghissue:`10062`: axes limits revert to automatic on sharing axes?
+* :ghissue:`9246`: ENH: make default colorbar ticks adjust as nicely as axes ticks
+* :ghissue:`8818`: plt.plot() does not support structured arrays as data= kwarg
+* :ghissue:`10533`: Recognize pandas Timestamp objects for DateConverter?
+* :ghissue:`8358`: Minor ticks on log-scale colorbar are not cleared
+* :ghissue:`10075`: RectangleSelector does not work if start and end points are identical
+* :ghissue:`8576`: support 'markevery' in prop_cycle
+* :ghissue:`8874`: Crash in python setup.py test
+* :ghissue:`3871`: replace use of _tkcanvas with get_tk_widget()
+* :ghissue:`10550`: Use long color names for rc defaultParams
+* :ghissue:`10722`: Duplicated test name in test_constrainedlayout
+* :ghissue:`10419`: svg backend does not respect alpha channel of text *when passed as rgba*
+* :ghissue:`10769`: DOC: set_major_locator could check that its getting a Locator (was EngFormatter broken?)
+* :ghissue:`10719`: Need better type error checking for linewidth in ax.grid
+* :ghissue:`7776`: tex cache lockfile retries should be configurable
+* :ghissue:`10556`: Special conversions of xrange()
+* :ghissue:`10501`: cmp() is an undefined name in Python 3
+* :ghissue:`9812`: figure_enter_event generates base Event and not LocationEvent
+* :ghissue:`10602`: Random image failures with test_curvelinear4
+* :ghissue:`7795`: Incorrect uses of is_numlike
diff --git a/doc/users/prev_whats_new/github_stats_3.0.1.rst b/doc/users/prev_whats_new/github_stats_3.0.1.rst
new file mode 100644
index 000000000000..95e899d1a9de
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.0.1.rst
@@ -0,0 +1,203 @@
+.. _github-stats-3-0-1:
+
+GitHub statistics for 3.0.1 (Oct 25, 2018)
+==========================================
+
+GitHub statistics for 2018/09/18 (tag: v3.0.0) - 2018/10/25
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 31 issues and merged 127 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/37?closed=1>`__
+
+The following 23 authors contributed 227 commits.
+
+* Abhinuv Nitin Pitale
+* Antony Lee
+* Anubhav Shrimal
+* Ben Root
+* Colin
+* Daniele Nicolodi
+* David Haberthür
+* David Stansby
+* Elan Ernest
+* Elliott Sales de Andrade
+* Eric Firing
+* ImportanceOfBeingErnest
+* Jody Klymak
+* Kai Muehlbauer
+* Kevin Rose
+* Marcel Martin
+* MeeseeksMachine
+* Nelle Varoquaux
+* Nikita Kniazev
+* Ryan May
+* teresy
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (127):
+
+* :ghpull:`12595`: Backport PR #12569 on branch v3.0.x (Don't confuse uintptr_t and Py_ssize_t.)
+* :ghpull:`12623`: Backport PR #12285 on branch v3.0.x (FIX: Don't apply tight_layout if axes collapse)
+* :ghpull:`12285`: FIX: Don't apply tight_layout if axes collapse
+* :ghpull:`12622`: FIX: flake8errors 3.0.x mergeup
+* :ghpull:`12619`: Backport PR #12548 on branch v3.0.x (undef _XOPEN_SOURCE breaks the build in AIX)
+* :ghpull:`12621`: Backport PR #12607 on branch v3.0.x (STY: fix whitespace and escaping)
+* :ghpull:`12616`: Backport PR #12615 on branch v3.0.x (Fix travis OSX build)
+* :ghpull:`12594`: Backport PR #12572 on branch v3.0.x (Fix singleton hist labels)
+* :ghpull:`12615`: Fix travis OSX build
+* :ghpull:`12607`: STY: fix whitespace and escaping
+* :ghpull:`12605`: Backport PR #12603 on branch v3.0.x (FIX: don't import macosx to check if eventloop running)
+* :ghpull:`12604`: FIX: over-ride 'copy' on RcParams
+* :ghpull:`12603`: FIX: don't import macosx to check if eventloop running
+* :ghpull:`12602`: Backport PR #12599 on branch v3.0.x (Fix formatting of docstring)
+* :ghpull:`12599`: Fix formatting of docstring
+* :ghpull:`12593`: Backport PR #12581 on branch v3.0.x (Fix hist() error message)
+* :ghpull:`12569`: Don't confuse uintptr_t and Py_ssize_t.
+* :ghpull:`12572`: Fix singleton hist labels
+* :ghpull:`12581`: Fix hist() error message
+* :ghpull:`12575`: Backport PR #12573 on branch v3.0.x (BUG: mplot3d: Don't crash if azim or elev are non-integral)
+* :ghpull:`12558`: Backport PR #12555 on branch v3.0.x (Clarify horizontalalignment and verticalalignment in suptitle)
+* :ghpull:`12544`: Backport PR #12159 on branch v3.0.x (FIX: colorbar re-check norm before draw for autolabels)
+* :ghpull:`12159`: FIX: colorbar re-check norm before draw for autolabels
+* :ghpull:`12540`: Backport PR #12501 on branch v3.0.x (Rectified plot error)
+* :ghpull:`12531`: Backport PR #12431 on branch v3.0.x (FIX: allow single-string color for scatter)
+* :ghpull:`12431`: FIX: allow single-string color for scatter
+* :ghpull:`12529`: Backport PR #12216 on branch v3.0.x (Doc: Fix search for sphinx >=1.8)
+* :ghpull:`12527`: Backport PR #12461 on branch v3.0.x (FIX: make add_lines work with new colorbar)
+* :ghpull:`12461`: FIX: make add_lines work with new colorbar
+* :ghpull:`12522`: Backport PR #12241 on branch v3.0.x (FIX: make unused spines invisible)
+* :ghpull:`12241`: FIX: make unused spines invisible
+* :ghpull:`12519`: Backport PR #12504 on branch v3.0.x (DOC: clarify min supported version wording)
+* :ghpull:`12517`: Backport PR #12507 on branch v3.0.x (FIX: make minor ticks formatted with science formatter as well)
+* :ghpull:`12507`: FIX: make minor ticks formatted with science formatter as well
+* :ghpull:`12512`: Backport PR #12363 on branch v3.0.x
+* :ghpull:`12511`: Backport PR #12366 on branch v2.2.x (TST: Update test images for new Ghostscript.)
+* :ghpull:`12509`: Backport PR #12478 on branch v3.0.x (MAINT: numpy deprecates asscalar in 1.16)
+* :ghpull:`12363`: FIX: errors in get_position changes
+* :ghpull:`12497`: Backport PR #12495 on branch v3.0.x (Fix duplicate condition in pathpatch3d example)
+* :ghpull:`12490`: Backport PR #12489 on branch v3.0.x (Fix typo in documentation of ylim)
+* :ghpull:`12485`: Fix font_manager.OSXInstalledFonts()
+* :ghpull:`12484`: Backport PR #12448 on branch v3.0.x (Don't error if some font directories are not readable.)
+* :ghpull:`12421`: Backport PR #12360 on branch v3.0.x (Replace axes_grid by axes_grid1 in test)
+* :ghpull:`12448`: Don't error if some font directories are not readable.
+* :ghpull:`12471`: Backport PR #12468 on branch v3.0.x (Fix ``set_ylim`` unit handling)
+* :ghpull:`12475`: Backport PR #12469 on branch v3.0.x (Clarify documentation of offsetbox.AnchoredText's prop kw argument)
+* :ghpull:`12468`: Fix ``set_ylim`` unit handling
+* :ghpull:`12464`: Backport PR #12457 on branch v3.0.x (Fix tutorial typos.)
+* :ghpull:`12432`: Backport PR #12277: FIX: datetime64 now recognized if in a list
+* :ghpull:`12277`: FIX: datetime64 now recognized if in a list
+* :ghpull:`12426`: Backport PR #12293 on branch v3.0.x (Make pyplot more tolerant wrt. 3rd-party subclasses.)
+* :ghpull:`12293`: Make pyplot more tolerant wrt. 3rd-party subclasses.
+* :ghpull:`12360`: Replace axes_grid by axes_grid1 in test
+* :ghpull:`12412`: Backport PR #12394 on branch v3.0.x (DOC: fix CL tutorial to give same output from saved file and example)
+* :ghpull:`12410`: Backport PR #12408 on branch v3.0.x (Don't crash on invalid registry font entries on Windows.)
+* :ghpull:`12411`: Backport PR #12366 on branch v3.0.0-doc (TST: Update test images for new Ghostscript.)
+* :ghpull:`12408`: Don't crash on invalid registry font entries on Windows.
+* :ghpull:`12403`: Backport PR #12149 on branch v3.0.x (Mathtext tutorial fixes)
+* :ghpull:`12400`: Backport PR #12257 on branch v3.0.x (Document standard backends in matplotlib.use())
+* :ghpull:`12257`: Document standard backends in matplotlib.use()
+* :ghpull:`12399`: Backport PR #12383 on branch v3.0.x (Revert change of parameter name in annotate())
+* :ghpull:`12383`: Revert change of parameter name in annotate()
+* :ghpull:`12390`: Backport PR #12385 on branch v3.0.x (CI: Added Appveyor Python 3.7 build)
+* :ghpull:`12385`: CI: Added Appveyor Python 3.7 build
+* :ghpull:`12381`: Backport PR #12353 on branch v3.0.x (Doc: clarify default parameters in scatter docs)
+* :ghpull:`12378`: Backport PR #12366 on branch v3.0.x (TST: Update test images for new Ghostscript.)
+* :ghpull:`12375`: Backport PR #11648 on branch v3.0.x (FIX: colorbar placement in constrained layout)
+* :ghpull:`11648`: FIX: colorbar placement in constrained layout
+* :ghpull:`12350`: Backport PR #12214 on branch v3.0.x
+* :ghpull:`12348`: Backport PR #12347 on branch v3.0.x (DOC: add_child_axes to axes_api.rst)
+* :ghpull:`12214`: Improve docstring of Annotation
+* :ghpull:`12344`: Backport PR #12321 on branch v3.0.x (maint: setupext.py for freetype had a Catch case for missing ft2build.h)
+* :ghpull:`12342`: Backport PR #12334 on branch v3.0.x (Improve selection of inset indicator connectors.)
+* :ghpull:`12334`: Improve selection of inset indicator connectors.
+* :ghpull:`12339`: Backport PR #12297 on branch v3.0.x (Remove some pytest parameterising warnings)
+* :ghpull:`12338`: Backport PR #12268 on branch v3.0.x (FIX: remove unnecessary ``self`` in ``super_``-calls, fixes #12265)
+* :ghpull:`12336`: Backport PR #12212 on branch v3.0.x (font_manager: Fixed problems with Path(...).suffix)
+* :ghpull:`12268`: FIX: remove unnecessary ``self`` in ``super_``-calls, fixes #12265
+* :ghpull:`12212`: font_manager: Fixed problems with Path(...).suffix
+* :ghpull:`12331`: Backport PR #12322 on branch v3.0.x (Fix the docs build.)
+* :ghpull:`12327`: Backport PR #12326 on branch v3.0.x (fixed minor spelling error in docstring)
+* :ghpull:`12320`: Backport PR #12319 on branch v3.0.x (Fix Travis 3.6 builds)
+* :ghpull:`12315`: Backport PR #12313 on branch v3.0.x (BUG: Fix typo in view_limits() for MultipleLocator)
+* :ghpull:`12313`: BUG: Fix typo in view_limits() for MultipleLocator
+* :ghpull:`12305`: Backport PR #12274 on branch v3.0.x (MNT: put back ``_hold`` as read-only attribute on AxesBase)
+* :ghpull:`12274`: MNT: put back ``_hold`` as read-only attribute on AxesBase
+* :ghpull:`12303`: Backport PR #12163 on branch v3.0.x (TST: Defer loading Qt framework until test is run.)
+* :ghpull:`12299`: Backport PR #12294 on branch v3.0.x (Fix expand_dims warnings in triinterpolate)
+* :ghpull:`12163`: TST: Defer loading Qt framework until test is run.
+* :ghpull:`12301`: Ghostscript 9.0 requirement revisited
+* :ghpull:`12294`: Fix expand_dims warnings in triinterpolate
+* :ghpull:`12297`: Remove some pytest parameterising warnings
+* :ghpull:`12295`: Backport PR #12261 on branch v3.0.x (FIX:  parasite axis2 demo)
+* :ghpull:`12289`: Backport PR #12278 on branch v3.0.x (Document inheriting docstrings)
+* :ghpull:`12287`: Backport PR #12262 on branch v3.0.x (Simplify empty-rasterized pdf test.)
+* :ghpull:`12280`: Backport PR #12269 on branch v3.0.x (Add some param docs to BlockingInput methods)
+* :ghpull:`12266`: Backport PR #12254 on branch v3.0.x (Improve docstrings of Animations)
+* :ghpull:`12262`: Simplify empty-rasterized pdf test.
+* :ghpull:`12254`: Improve docstrings of Animations
+* :ghpull:`12263`: Backport PR #12258 on branch v3.0.x (Fix CSS for module-level data)
+* :ghpull:`12250`: Backport PR #12209 on branch v3.0.x (Doc: Sort named colors example by palette)
+* :ghpull:`12248`: Backport PR #12237 on branch v3.0.x (Use (float, float) as parameter type for 2D positions in docstrings)
+* :ghpull:`12240`: Backport PR #12236 on branch v3.0.x
+* :ghpull:`12237`: Use (float, float) as parameter type for 2D positions in docstrings
+* :ghpull:`12242`: Backport PR #12238 on branch v3.0.x (Typo in docs)
+* :ghpull:`12236`: Make boilerplate-generated pyplot.py flake8 compliant
+* :ghpull:`12234`: Backport PR #12228 on branch v3.0.x (Fix trivial typo in docs.)
+* :ghpull:`12230`: Backport PR #12213 on branch v3.0.x (Change win32InstalledFonts return value)
+* :ghpull:`12213`: Change win32InstalledFonts return value
+* :ghpull:`12223`: Backport PR #11688 on branch v3.0.x (Don't draw axis (spines, ticks, labels) twice when using parasite axes.)
+* :ghpull:`12224`: Backport PR #12207 on branch v3.0.x (FIX: dont' check for interactive framework if none required)
+* :ghpull:`12207`: FIX: don't check for interactive framework if none required
+* :ghpull:`11688`: Don't draw axis (spines, ticks, labels) twice when using parasite axes.
+* :ghpull:`12205`: Backport PR #12186 on branch v3.0.x (DOC: fix API note about get_tightbbox)
+* :ghpull:`12204`: Backport PR #12203 on branch v3.0.x (Document legend best slowness)
+* :ghpull:`12203`: Document legend's slowness when "best" location is used
+* :ghpull:`12194`: Backport PR #12164 on branch v3.0.x (Fix Annotation.contains.)
+* :ghpull:`12193`: Backport PR #12177 on branch v3.0.x (FIX: remove cwd from mac font path search)
+* :ghpull:`12164`: Fix Annotation.contains.
+* :ghpull:`12177`: FIX: remove cwd from mac font path search
+* :ghpull:`12185`: Backport PR #12183 on branch v3.0.x (Doc: Don't use Sphinx 1.8)
+* :ghpull:`12183`: Doc: Don't use Sphinx 1.8
+* :ghpull:`12172`: Backport PR #12157 on branch v3.0.x (Properly declare the interactive framework for the qt4foo backends.)
+* :ghpull:`12167`: Backport PR #12166 on branch v3.0.x (Document preference order for backend auto selection)
+* :ghpull:`12166`: Document preference order for backend auto selection
+* :ghpull:`12157`: Properly declare the interactive framework for the qt4foo backends.
+* :ghpull:`12153`: Backport PR #12148 on branch v3.0.x (BLD: pragmatic fix for building basic_unit example on py37)
+
+Issues (31):
+
+* :ghissue:`12626`: AttributeError: module 'matplotlib' has no attribute 'artist'
+* :ghissue:`12613`: transiently linked interactivity of unshared pair of axes generated with make_axes_locatable
+* :ghissue:`12601`: Can't import matplotlib
+* :ghissue:`12580`: Incorrect hist error message with bad color size
+* :ghissue:`12567`: Calling pyplot.show() with TkAgg backend on x86 machine raises OverflowError.
+* :ghissue:`12556`: Matplotlib 3.0.0 import hangs in clean environment
+* :ghissue:`12550`: colorbar resizes in animation
+* :ghissue:`12155`: Incorrect placement of Colorbar ticks using LogNorm
+* :ghissue:`12438`: Scatter doesn't accept a list of strings as color spec.
+* :ghissue:`12429`: scatter() does not accept gray strings anymore
+* :ghissue:`12458`: add_lines misses lines for matplotlib.colorbar.ColorbarBase
+* :ghissue:`12239`: 3d axes are collapsed by tight_layout
+* :ghissue:`12488`: inconsistent colorbar tick labels for LogNorm
+* :ghissue:`12515`: pyplot.step broken in 3.0.0?
+* :ghissue:`12355`: Error for bbox_inches='tight' in savefig with make_axes_locatable
+* :ghissue:`12505`: ImageGrid in 3.0
+* :ghissue:`12291`: Importing pyplot crashes on macOS due to missing fontlist-v300.json and then Permission denied: '/opt/local/share/fonts'
+* :ghissue:`12288`: New function signatures in pyplot break Cartopy
+* :ghissue:`12445`: Error on colorbar
+* :ghissue:`12446`: Polar Contour - float() argument must be a string or a number, not 'AxesParasiteParasiteAuxTrans'
+* :ghissue:`12271`: error with errorbar with datetime64
+* :ghissue:`12405`: plt.stackplot() does not work with 3.0.0
+* :ghissue:`12406`: Bug with font finding, and here is my fix as well.
+* :ghissue:`12325`: Annotation change from "s" to "text" in 3.0- documentation
+* :ghissue:`11641`: constrained_layout and colorbar for a subset of axes
+* :ghissue:`12352`: TeX rendering broken on master with windows
+* :ghissue:`12354`: Too many levels of symbolic links
+* :ghissue:`12265`: ParasiteAxesAuxTrans  pcolor/pcolormesh and contour/contourf broken
+* :ghissue:`12173`: Cannot import pyplot
+* :ghissue:`12120`: Default legend behavior (loc='best') very slow for large amounts of data.
+* :ghissue:`12176`: import pyplot on MacOS without font cache will search entire subtree of current dir
diff --git a/doc/users/prev_whats_new/github_stats_3.0.2.rst b/doc/users/prev_whats_new/github_stats_3.0.2.rst
new file mode 100644
index 000000000000..c5caed404b62
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.0.2.rst
@@ -0,0 +1,465 @@
+.. _github-stats-3-0-2:
+
+GitHub statistics for 3.0.2 (Nov 10, 2018)
+==========================================
+
+GitHub statistics for 2018/09/18 (tag: v3.0.0) - 2018/11/10
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 170 issues and merged 224 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/39?closed=1>`__
+
+The following 49 authors contributed 460 commits.
+
+* Abhinuv Nitin Pitale
+* Alon Hershenhorn
+* Andras Deak
+* Ankur Dedania
+* Antony Lee
+* Anubhav Shrimal
+* Ayappan P
+* azure-pipelines[bot]
+* Ben Root
+* Colin
+* Colin Carroll
+* Daniele Nicolodi
+* David Haberthür
+* David Stansby
+* Dmitry Mottl
+* Elan Ernest
+* Elliott Sales de Andrade
+* Eric Wieser
+* esvhd
+* Galen Lynch
+* hannah
+* Ildar Akhmetgaleev
+* ImportanceOfBeingErnest
+* Jody Klymak
+* Joel Wanner
+* Kai Muehlbauer
+* Kevin Rose
+* Kyle Sunden
+* Marcel Martin
+* Matthias Bussonnier
+* MeeseeksMachine
+* Michael Jancsy
+* Nelle Varoquaux
+* Nick Papior
+* Nikita Kniazev
+* Paul Hobson
+* pharshalp
+* Rasmus Diederichsen
+* Ryan May
+* saksmito
+* Takafumi Arakaki
+* teresy
+* Thomas A Caswell
+* thoo
+* Tim Hoffmann
+* Tobias Megies
+* Tyler Makaro
+* Will Handley
+* Yuxin Wu
+
+GitHub issues and pull requests:
+
+Pull Requests (224):
+
+* :ghpull:`12785`: Use level kwargs in irregular contour example
+* :ghpull:`12767`: Make colorbars constructible with dataless ScalarMappables.
+* :ghpull:`12775`: Add note to errorbar function about sign of errors
+* :ghpull:`12776`: Fix typo in example (on-borad -> on-board).
+* :ghpull:`12771`: Do not rely on external stack frame to exist
+* :ghpull:`12526`: Rename jquery files
+* :ghpull:`12552`: Update docs for writing image comparison tests.
+* :ghpull:`12746`: Use skipif, not xfail, for uncomparable image formats.
+* :ghpull:`12747`: Prefer log.warning("%s", ...) to log.warning("%s" % ...).
+* :ghpull:`11753`: FIX: Apply aspect before drawing starts
+* :ghpull:`12749`: Move toolmanager warning from logging to warning.
+* :ghpull:`12708`: Run flake8 in a separate travis environment
+* :ghpull:`12737`: Improve docstring of Arc
+* :ghpull:`12598`: Support Cn colors with n>=10.
+* :ghpull:`12670`: FIX: add setter for hold to un-break basemap
+* :ghpull:`12693`: Workaround Text3D breaking tight_layout()
+* :ghpull:`12727`: Reorder API docs: separate file per module
+* :ghpull:`12738`: Add unobtrusive depreaction note to the first line of the docstring.
+* :ghpull:`12740`: DOC: constrained layout guide (fix: Spacing with colorbars)
+* :ghpull:`11663`: Refactor color parsing of Axes.scatter
+* :ghpull:`12736`: Move deprecation note to end of docstring
+* :ghpull:`12704`: Rename tkinter import from Tk to tk.
+* :ghpull:`12730`: MNT: merge ignore lines in .flake8
+* :ghpull:`12707`: Fix tk error when closing first pyplot figure
+* :ghpull:`12715`: Cleanup dviread.
+* :ghpull:`12717`: Delete some ``if __name__ == "__main__"`` clauses.
+* :ghpull:`12726`: Fix test_non_gui_warning for Azure (and mplcairo).
+* :ghpull:`12720`: Improve docs on Axes scales
+* :ghpull:`12537`: Improve error message on failing test_pyplot_up_to_date
+* :ghpull:`12721`: Make get_scale_docs() internal
+* :ghpull:`12617`: Set up CI with Azure Pipelines
+* :ghpull:`12673`: Fix for _axes.scatter() array index out of bound error
+* :ghpull:`12676`: Doc: document textpath module
+* :ghpull:`12705`: Improve docs on Axes limits and direction
+* :ghpull:`12706`: Extend sphinx Makefile to cleanup completely
+* :ghpull:`12481`: Warn if plot_surface Z values contain NaN
+* :ghpull:`12709`: Correctly remove nans when drawing paths with pycairo.
+* :ghpull:`12685`: Make ticks in demo_axes_rgb.py visible
+* :ghpull:`12691`: DOC: Link to "How to make a PR" tutorials as badge and in contributing
+* :ghpull:`12684`: Change ipython block to code-block
+* :ghpull:`11974`: Make code match comment in sankey.
+* :ghpull:`12440`: Make arguments to @deprecated/warn_deprecated keyword-only.
+* :ghpull:`12683`: TST: mark test_constrainedlayout.py::test_colorbar_location as flaky
+* :ghpull:`12686`: Remove deprecation warnings in tests
+* :ghpull:`12470`: Update AutoDateFormatter with locator
+* :ghpull:`12656`: FIX: fix error in colorbar.get_ticks not having valid data
+* :ghpull:`12586`: Improve linestyles example
+* :ghpull:`12006`: Added stacklevel=2 to all warnings.warn calls (issue 10643)
+* :ghpull:`12651`: FIX: ignore non-finite bbox
+* :ghpull:`12653`: Don't warn when accessing deprecated properties from the class.
+* :ghpull:`12608`: ENH: allow matplotlib.use after getbackend
+* :ghpull:`12658`: Do not warn-depreacted when iterating over rcParams
+* :ghpull:`12635`: FIX: allow non bbox_extra_artists calls
+* :ghpull:`12659`: Add note that developer discussions are private
+* :ghpull:`12543`: Make rcsetup.py flak8 compliant
+* :ghpull:`12642`: Don't silence TypeErrors in fmt_{x,y}data.
+* :ghpull:`11667`: DOC: update doc requirement
+* :ghpull:`12442`: Deprecate passing drawstyle with linestyle as single string.
+* :ghpull:`12625`: Shorten some docstrings.
+* :ghpull:`12627`: Be a bit more stringent on invalid inputs.
+* :ghpull:`12561`: Properly css-style exceptions in the documentation
+* :ghpull:`12629`: Fix issue with PyPy on macOS
+* :ghpull:`10933`: Remove "experimental" fontconfig font_manager backend.
+* :ghpull:`12630`: Fix RcParams.__len__
+* :ghpull:`12285`: FIX: Don't apply tight_layout if axes collapse
+* :ghpull:`12548`: undef _XOPEN_SOURCE breaks the build in AIX
+* :ghpull:`12615`: Fix travis OSX build
+* :ghpull:`12600`: Minor style fixes.
+* :ghpull:`12607`: STY: fix whitespace and escaping
+* :ghpull:`12603`: FIX: don't import macosx to check if eventloop running
+* :ghpull:`12599`: Fix formatting of docstring
+* :ghpull:`12569`: Don't confuse uintptr_t and Py_ssize_t.
+* :ghpull:`12572`: Fix singleton hist labels
+* :ghpull:`12581`: Fix hist() error message
+* :ghpull:`12570`: Fix mathtext tutorial for build with Sphinx 1.8.
+* :ghpull:`12487`: Update docs/tests for the deprecation of aname and label1On/label2On/etc.
+* :ghpull:`12521`: Improve docstring of draw_idle()
+* :ghpull:`12573`: BUG: mplot3d: Don't crash if azim or elev are non-integral
+* :ghpull:`12574`: Remove some unused imports
+* :ghpull:`12568`: Add note regarding builds of old Matplotlibs.
+* :ghpull:`12555`: Clarify horizontalalignment and verticalalignment in suptitle
+* :ghpull:`12547`: Disable sticky edge accumulation if no autoscaling.
+* :ghpull:`12546`: Avoid quadratic behavior when accumulating stickies.
+* :ghpull:`12159`: FIX: colorbar re-check norm before draw for autolabels
+* :ghpull:`12501`: Rectified plot error
+* :ghpull:`11789`: endless looping GIFs with PillowWriter
+* :ghpull:`12525`: Fix some flake8 issues
+* :ghpull:`12431`: FIX: allow single-string color for scatter
+* :ghpull:`12216`: Doc: Fix search for sphinx >=1.8
+* :ghpull:`12461`: FIX: make add_lines work with new colorbar
+* :ghpull:`12241`: FIX: make unused spines invisible
+* :ghpull:`12516`: Don't handle impossible values for ``align`` in hist()
+* :ghpull:`12504`: DOC: clarify min supported version wording
+* :ghpull:`12507`: FIX: make minor ticks formatted with science formatter as well
+* :ghpull:`12500`: Adjust the widths of the messages during the build.
+* :ghpull:`12492`: Simplify radar_chart example.
+* :ghpull:`12478`: MAINT: NumPy deprecates asscalar in 1.16
+* :ghpull:`12363`: FIX: errors in get_position changes
+* :ghpull:`12495`: Fix duplicate condition in pathpatch3d example
+* :ghpull:`11984`: Strip out pkg-config machinery for agg and libqhull.
+* :ghpull:`12463`: Document Artist.cursor_data() parameter
+* :ghpull:`12489`: Fix typo in documentation of ylim
+* :ghpull:`12482`: Test slider orientation
+* :ghpull:`12317`: Always install mpl_toolkits.
+* :ghpull:`12246`: Be less tolerant of broken installs.
+* :ghpull:`12477`: Use \N{MICRO SIGN} instead of \N{GREEK SMALL LETTER MU} in EngFormatter.
+* :ghpull:`12483`: Kill FontManager.update_fonts.
+* :ghpull:`12448`: Don't error if some font directories are not readable.
+* :ghpull:`12474`: Throw ValueError when irregularly gridded data is passed to streamplot.
+* :ghpull:`12469`: Clarify documentation of offsetbox.AnchoredText's prop kw argument
+* :ghpull:`12468`: Fix ``set_ylim`` unit handling
+* :ghpull:`12466`: np.fromstring -> np.frombuffer.
+* :ghpull:`12369`: Improved exception handling on animation failure
+* :ghpull:`12460`: Deprecate RendererBase.strip_math.
+* :ghpull:`12457`: Fix tutorial typos.
+* :ghpull:`12453`: Rollback erroneous commit to whats_new.rst from #10746
+* :ghpull:`12452`: Minor updates to the FAQ.
+* :ghpull:`10746`: Adjusted matplotlib.widgets.Slider to have optional vertical orientatation
+* :ghpull:`12441`: Get rid of a signed-compare warning.
+* :ghpull:`12430`: Deprecate Axes3D.plot_surface(shade=None)
+* :ghpull:`12435`: Fix numpydoc parameter formatting
+* :ghpull:`12434`: Clarify documentation for textprops keyword parameter of TextArea
+* :ghpull:`12427`: Document Artist.get_cursor_data
+* :ghpull:`12277`: FIX: datetime64 now recognized if in a list
+* :ghpull:`10322`: Use np.hypot wherever possible.
+* :ghpull:`12423`: Minor simplifications to backend_svg.
+* :ghpull:`12293`: Make pyplot more tolerant wrt. 3rd-party subclasses.
+* :ghpull:`12360`: Replace axes_grid by axes_grid1 in test
+* :ghpull:`10356`: fix detecting which artist(s) the mouse is over
+* :ghpull:`12416`: Move font cache rebuild out of exception handler
+* :ghpull:`11891`: Group some print()s in backend_ps.
+* :ghpull:`12165`: Remove deprecated mlab code
+* :ghpull:`12394`: DOC: fix CL tutorial to give same output from saved file and example
+* :ghpull:`12387`: Update HTML animation as slider is dragged
+* :ghpull:`12408`: Don't crash on invalid registry font entries on Windows.
+* :ghpull:`10088`: Deprecate Tick.{gridOn,tick1On,label1On,...} in favor of set_visible.
+* :ghpull:`12149`: Mathtext tutorial fixes
+* :ghpull:`12393`: Deprecate to-days converters in matplotlib dates
+* :ghpull:`12257`: Document standard backends in matplotlib.use()
+* :ghpull:`12383`: Revert change of parameter name in annotate()
+* :ghpull:`12385`: CI: Added Appveyor Python 3.7 build
+* :ghpull:`12247`: Machinery for deprecating properties.
+* :ghpull:`12371`: Move check for ImageMagick Windows path to bin_path().
+* :ghpull:`12384`: Cleanup axislines style.
+* :ghpull:`12353`: Doc: clarify default parameters in scatter docs
+* :ghpull:`12366`: TST: Update test images for new Ghostscript.
+* :ghpull:`11648`: FIX: colorbar placement in constrained layout
+* :ghpull:`12368`: Don't use stdlib private API in animation.py.
+* :ghpull:`12351`: dviread: find_tex_file: Ensure the encoding on windows
+* :ghpull:`12244`: Merge barchart examples.
+* :ghpull:`12372`: Remove two examples.
+* :ghpull:`12214`: Improve docstring of Annotation
+* :ghpull:`12347`: DOC: add_child_axes to axes_api.rst
+* :ghpull:`12304`: TST: Merge Qt tests into one file.
+* :ghpull:`12321`: maint: setupext.py for freetype had a Catch case for missing ft2build.h
+* :ghpull:`12340`: Catch test deprecation warnings for mlab.demean
+* :ghpull:`12334`: Improve selection of inset indicator connectors.
+* :ghpull:`12316`: Fix some warnings from Travis
+* :ghpull:`12268`: FIX: remove unnecessary ``self`` in ``super_``-calls, fixes #12265
+* :ghpull:`12212`: font_manager: Fixed problems with Path(...).suffix
+* :ghpull:`12326`: fixed minor spelling error in docstring
+* :ghpull:`12296`: Make FooConverter inherit from ConversionInterface in examples
+* :ghpull:`12322`: Fix the docs build.
+* :ghpull:`12319`: Fix Travis 3.6 builds
+* :ghpull:`12309`: Deduplicate implementations of FooNorm.autoscale{,_None}
+* :ghpull:`12314`: Deprecate ``axis('normal')`` in favor of ``axis('auto')``.
+* :ghpull:`12313`: BUG: Fix typo in view_limits() for MultipleLocator
+* :ghpull:`12307`: Clarify missing-property error message.
+* :ghpull:`12274`: MNT: put back ``_hold`` as read-only attribute on AxesBase
+* :ghpull:`12260`: Fix docs : change from issue #12191, remove "if 1:" blocks in examples 
+* :ghpull:`12163`: TST: Defer loading Qt framework until test is run.
+* :ghpull:`12253`: Handle utf-8 output by kpathsea on Windows.
+* :ghpull:`12301`: Ghostscript 9.0 requirement revisited
+* :ghpull:`12294`: Fix expand_dims warnings in triinterpolate
+* :ghpull:`12292`: TST: Modify the bar3d test to show three more angles
+* :ghpull:`12297`: Remove some pytest parameterising warnings
+* :ghpull:`12261`: FIX:  parasite axis2 demo
+* :ghpull:`12278`: Document inheriting docstrings
+* :ghpull:`12262`: Simplify empty-rasterized pdf test.
+* :ghpull:`12269`: Add some param docs to BlockingInput methods
+* :ghpull:`12272`: Fix ``contrained`` to ``constrained``
+* :ghpull:`12255`: Deduplicate inherited docstrings.
+* :ghpull:`12254`: Improve docstrings of Animations
+* :ghpull:`12258`: Fix CSS for module-level data
+* :ghpull:`12222`: Remove extraneous if 1 statements in demo_axisline_style.py
+* :ghpull:`12137`:  MAINT: Vectorize bar3d 
+* :ghpull:`12219`: Merge OSXInstalledFonts into findSystemFonts.
+* :ghpull:`12229`: Less ACCEPTS, more numpydoc.
+* :ghpull:`12209`: Doc: Sort named colors example by palette
+* :ghpull:`12237`: Use (float, float) as parameter type for 2D positions in docstrings
+* :ghpull:`12238`: Typo in docs
+* :ghpull:`12236`: Make boilerplate-generated pyplot.py flake8 compliant
+* :ghpull:`12231`: CI: Speed up Appveyor repository cloning
+* :ghpull:`12228`: Fix trivial typo in docs.
+* :ghpull:`12227`: Use (float, float) as parameter type for 2D positions
+* :ghpull:`12199`: Allow disabling specific mouse actions in blocking_input
+* :ghpull:`12213`: Change win32InstalledFonts return value
+* :ghpull:`12207`: FIX: dont' check for interactive framework if none required
+* :ghpull:`11688`: Don't draw axis (spines, ticks, labels) twice when using parasite axes.
+* :ghpull:`12210`: Axes.tick_params() argument checking
+* :ghpull:`12211`: Fix typo
+* :ghpull:`12200`: Slightly clarify some invalid shape exceptions for image data.
+* :ghpull:`12151`: Don't pretend @deprecated applies to classmethods.
+* :ghpull:`12190`: Remove some unused variables and imports
+* :ghpull:`12186`: DOC: fix API note about get_tightbbox
+* :ghpull:`12203`: Document legend's slowness when "best" location is used
+* :ghpull:`12192`: Exclude examples from lgtm analysis
+* :ghpull:`12196`: Give Carreau the ability to mention the backport bot.
+* :ghpull:`12187`: DOC: Update INSTALL.rst
+* :ghpull:`12164`: Fix Annotation.contains.
+* :ghpull:`12177`: FIX: remove cwd from mac font path search
+* :ghpull:`12182`: Fix Flash of Unstyled Content by removing remaining Flipcause integration
+* :ghpull:`12184`: DOC: update "Previous What's New" for 2.2 with reference to cividis paper
+* :ghpull:`12183`: Doc: Don't use Sphinx 1.8
+* :ghpull:`12171`: Remove internal warning due to zsort deprecation
+* :ghpull:`12166`: Document preference order for backend auto selection
+* :ghpull:`12154`: Avoid triggering deprecation warnings with pytest 3.8.
+* :ghpull:`12030`: Speed up canvas redraw for GTK3Agg backend.
+* :ghpull:`12157`: Properly declare the interactive framework for the qt4foo backends.
+* :ghpull:`12156`: Cleanup the GridSpec demos.
+* :ghpull:`12144`: Add explicit getters and setters for Annotation.anncoords.
+* :ghpull:`12152`: Use _warn_external for deprecations warnings.
+* :ghpull:`12148`: BLD: pragmatic fix for building basic_unit example on py37
+* :ghpull:`12147`: DOC: update the gh_stats code
+
+Issues (170):
+
+* :ghissue:`12699`: Annotations get cropped out of figures saved with bbox_inches='tight'
+* :ghissue:`9217`: Weirdness with inline figure DPI settings in Jupyter Notebook
+* :ghissue:`4853`: %matplotlib notebook creates much bigger figures than %matplotlib inline
+* :ghissue:`12780`: Vague/misleading exception message in scatter()
+* :ghissue:`10239`: Weird interaction with Tkinter
+* :ghissue:`10045`: subplots_adjust() breaks layout of tick labels
+* :ghissue:`12765`: Matplotlib draws incorrect color
+* :ghissue:`11800`: Gridspec tutorial
+* :ghissue:`12757`: up the figure
+* :ghissue:`12724`: Importing pyplot steals focus on macOS 
+* :ghissue:`12669`: fixing _hold on cartopy broke basemap
+* :ghissue:`12687`: Plotting text on 3d axes before tight_layout() breaks tight_layout()
+* :ghissue:`12734`: Wishlist: functionally linked twin axes
+* :ghissue:`12576`: RcParams is fundamentally broken
+* :ghissue:`12641`: ``_axes.py.scatter()`` array index out of bound / calling from ``seaborn``
+* :ghissue:`12703`: Error when closing first of several pyplot figures in TkAgg
+* :ghissue:`12728`: Deprecation Warnings
+* :ghissue:`4124`: Provide canonical examples of mpl in web frameworks
+* :ghissue:`10574`: Default color after setting alptha to Patch in legened
+* :ghissue:`12702`: couldn't find or load Qt platform plugin "windows" in "".
+* :ghissue:`11139`: "make clean" doesn't remove all the build doc files
+* :ghissue:`12701`: semilogy with NaN prevents display of Title (cairo backend)
+* :ghissue:`12696`: Process finished with exit code -1 due to matplotlib configuration
+* :ghissue:`12692`: matplotlib.plot.show always blocks the execution of python script
+* :ghissue:`12433`: Travis error is MacOS image tolerance of 0.005 for ``test_constrained_layout.py::test_colorbar_location``
+* :ghissue:`10017`: unicode_literals considered harmful
+* :ghissue:`12682`: using AxesImage.set_clim() shrinks the colorbar
+* :ghissue:`12620`: Overlapping 3D objects
+* :ghissue:`12680`: matplotlib ui in thread still blocked
+* :ghissue:`11908`: Improve linestyle documentation
+* :ghissue:`12650`: Deprecation warnings when calling help(matplotlib)
+* :ghissue:`10643`: Most warnings calls do not set the stacklevel
+* :ghissue:`12671`: make_axes_locatable breaks with matplotlib 3.0
+* :ghissue:`12664`: plt.scatter crashes because overwrites the colors to an empty list
+* :ghissue:`12188`:  matplotlib 3 pyplot on MacOS bounces rocket icon in dock
+* :ghissue:`12648`: Regression when calling annotate with nan values for the position
+* :ghissue:`12362`: In 3.0.0 backend cannot be set if 'get_backend()' is run first
+* :ghissue:`12649`: Over-verbose deprecation warning about examples.directory
+* :ghissue:`12661`: In version 3.0.0 make_axes_locatable + colorbar does not produce expected result
+* :ghissue:`12634`: axes_grid1 axes have no keyword argument 'bbox_extra_artists'
+* :ghissue:`12654`: Broken 'Developer Discussions' link
+* :ghissue:`12657`: With v3.0.0 mpl_toolkits.axes_grid1.make_axes_locatable().append_axes breaks in Jupyter
+* :ghissue:`12645`: Markers are offset when 'facecolor' or 'edgecolor' are set to 'none' when plotting data
+* :ghissue:`12644`: Memory leak with plt.plot in Jupyter Notebooks?
+* :ghissue:`12632`: Do we need input hooks macosx?
+* :ghissue:`12535`: AIX Support - Do not undef _XOPEN_SOURCE 
+* :ghissue:`12626`: AttributeError: module 'matplotlib' has no attribute 'artist'
+* :ghissue:`11034`: Doc Typo:  matplotlib.axes.Axes.get_yticklabels  / Axis.get_ticklabels
+* :ghissue:`12624`: make_axes_locatable : Colorbar in the middle instead of bottom while saving a pdf, png.
+* :ghissue:`11094`: cannot use GUI backends inside django request handlers
+* :ghissue:`12613`: transiently linked interactivity of unshared pair of axes generated with make_axes_locatable 
+* :ghissue:`12578`: macOS builds are broken
+* :ghissue:`12612`: gui backends do not work inside of flask request handlers
+* :ghissue:`12611`: Matplotlib 3.0.0 Likely bug TypeError: stackplot() got multiple values for argument 'x'
+* :ghissue:`12610`: matplotlibrc causes import to fail 3.0.0 (didn't crash 2.y.z series)
+* :ghissue:`12601`: Can't import matplotlib
+* :ghissue:`12597`: Please soon add Chinese language support!! It's to difficult for new people handle character
+* :ghissue:`12590`: Matplotlib pypi distribution lacks packages for Python 2.7
+* :ghissue:`3869`: Numeric labels do not work with plt.hist
+* :ghissue:`12580`: Incorrect hist error message with bad color size
+* :ghissue:`12100`: document where to get nightly wheels
+* :ghissue:`7205`: Converting docstrings to numpydoc
+* :ghissue:`12564`: Saving plot as PNG file prunes tick labels 
+* :ghissue:`12161`: Problems of using sharex options with lines plots and colormesh with colorbar
+* :ghissue:`12256`: tight_layout for plot with non-clipped screen-unit items causes issues on zoom
+* :ghissue:`12545`: Program quit unormally without reporting error
+* :ghissue:`12532`: Incorrect rendering of math symbols
+* :ghissue:`12567`: Calling pyplot.show() with TkAgg backend on x86 machine raises OverflowError.
+* :ghissue:`12571`: cannot install because Fatal Python error: initfsencoding: Unable to get the locale encoding
+* :ghissue:`12566`: Problem installing Version 1.3.1 -> missing pkg-config freetype and libagg
+* :ghissue:`12556`: Matplotlib 3.0.0 import hangs in clean environment
+* :ghissue:`12197`: Weird behaviour of suptitle() when horizontalalignment is not 'center'
+* :ghissue:`12550`: colorbar resizes in animation
+* :ghissue:`12155`: Incorrect placement of Colorbar ticks using LogNorm
+* :ghissue:`11787`: Looping gifs with PillowWriter
+* :ghissue:`12533`: Plotting with alpha=0 with rasterized=True causes ValueError on saving to pdf
+* :ghissue:`12438`: Scatter doesn't accept a list of strings as color spec.  
+* :ghissue:`12429`: scatter() does not accept gray strings anymore
+* :ghissue:`12499`: run my code failed after i Import pylab failed, python version is 3.6.6
+* :ghissue:`12458`: add_lines misses lines for matplotlib.colorbar.ColorbarBase
+* :ghissue:`12239`: 3d axes are collapsed by tight_layout
+* :ghissue:`12414`: Function to draw angle between two lines
+* :ghissue:`12488`: inconsistent colorbar tick labels for LogNorm
+* :ghissue:`12515`: pyplot.step broken in 3.0.0?
+* :ghissue:`12355`: Error for bbox_inches='tight' in savefig with make_axes_locatable
+* :ghissue:`12505`: ImageGrid in 3.0
+* :ghissue:`12502`: How can I put the ticks of logarithmic coordinate in the axes?
+* :ghissue:`12496`: Maplotlib Can't Plot a Dataset
+* :ghissue:`12486`: rotate label of legend ?
+* :ghissue:`12291`: Importing pyplot crashes on macOS due to missing fontlist-v300.json and then Permission denied: '/opt/local/share/fonts'
+* :ghissue:`12480`: "close_event" for nbagg/notebook backend
+* :ghissue:`12467`: Documentation of AnchoredText's prop keyword argument is misleading
+* :ghissue:`12288`: New function signatures in pyplot break Cartopy
+* :ghissue:`12445`: Error on colorbar
+* :ghissue:`8760`: Traceback from animation.MovieWriter.saving method is confusing because it provides no useful information
+* :ghissue:`9205`: after the animation encoder (e.g. ffmpeg) fails, the animation framework itself fails internally in various ways while trying to report the error
+* :ghissue:`12357`: Unclear error when saving Animation using FFMpeg
+* :ghissue:`12454`: Formatting numerical legend
+* :ghissue:`9636`: matplotlib crashes upon window resize
+* :ghissue:`11473`: Continuous plotting cause memory leak 20-50kb/sec
+* :ghissue:`12018`: No image pop-up or display for plt.imshow() and plt.show()
+* :ghissue:`11583`: How to draw parallelepiped with real size scaling?
+* :ghissue:`12446`: Polar Contour - float() argument must be a string or a number, not 'AxesParasiteParasiteAuxTrans'
+* :ghissue:`12444`: Issues with gridspec/tight_layout in matplotlib version 2.2.3
+* :ghissue:`11154`: Unexpected behavior for Axes3D.plot_surface(shade=None)
+* :ghissue:`12409`: Calling savefig() multiple times causes crash of Spyder IDE / IPython Kernel dying.
+* :ghissue:`9799`: FigureCanvasTkAgg - "buffer is of wrong type" error during blit
+* :ghissue:`12439`: FileNotFoundError for font_manager
+* :ghissue:`12437`: matplotlib-mac
+* :ghissue:`12121`: Documentation of TextArea's fontprops keyword argument is misleading
+* :ghissue:`12279`: Axes.format_cursor_data lacks documentation and seems unused
+* :ghissue:`12428`: Simple plot spacing bug: ylabel gets wrongfully removed from plot
+* :ghissue:`11190`: Images in the docs are too large.
+* :ghissue:`12271`: error with errorbar with datetime64 
+* :ghissue:`12405`: plt.stackplot() does not work with 3.0.0
+* :ghissue:`12282`: ``Axes.imshow`` tooltip does not get updated when another call to ``Axes.imshow`` is made
+* :ghissue:`12420`: How to remove Rectangle Selector from figure?
+* :ghissue:`12391`: Constrained Layout tutorial needs some cleanup....
+* :ghissue:`12406`: Bug with font finding, and here is my fix as well.
+* :ghissue:`9051`: ParasiteAxes over plotting
+* :ghissue:`12325`: Annotation change from "s" to "text" in 3.0- documentation
+* :ghissue:`12397`: plt.show( ) not working (can't get figures to display in external window) when using jupyter QTconsole
+* :ghissue:`12396`: Defining arrowprops in draggable annotation disables the pick_event
+* :ghissue:`12389`: Setting row edge color of matplotlib table
+* :ghissue:`12376`: The output figure file is strange: there is a lot of blank area on the output figure.
+* :ghissue:`11641`: constrained_layout and colorbar for a subset of axes
+* :ghissue:`12373`: Unexpected outcome with matplotlib.pyplot.pcolor()
+* :ghissue:`12370`: ImageGrid bug when using inline backend
+* :ghissue:`12364`: pdf image generated by matplotlib with semi transparent lines missing in Word on Windows.
+* :ghissue:`12352`: TeX rendering broken on master with windows
+* :ghissue:`12354`: Too many levels of symbolic links
+* :ghissue:`12323`: indicate_inset_zoom sometimes draws incorrect connector lines
+* :ghissue:`12341`: Figures not rendering in docker
+* :ghissue:`12335`: Matplotlib plt.Rectangle Incoherent Results
+* :ghissue:`12265`: ParasiteAxesAuxTrans  pcolor/pcolormesh and contour/contourf broken
+* :ghissue:`12337`: AttributeError: module 'matplotlib.pyplot' has no attribute 'hold'
+* :ghissue:`11673`: Inconsistent font settings when changing style context
+* :ghissue:`11693`: The rcParams setting for figure.figsize does not change when run from another notebook
+* :ghissue:`11725`: New mode between non-interactive and interactive?
+* :ghissue:`12134`: tight_layout flips images when making plots without displaying them
+* :ghissue:`12310`: plot fails with datetime64[ns] timezone aware objects (for example datetime64[ns, UTC+00:00] )
+* :ghissue:`12191`: "if 1:" blocks in examples
+* :ghissue:`11288`: FR: Figure.subplots add optional SubplotSpec parameter
+* :ghissue:`12298`: c and cmap for plot
+* :ghissue:`12286`: Sample code given in Matplotlib's site does not work.
+* :ghissue:`11955`: UnicodeDecodeError on importing pyplot in python2
+* :ghissue:`12208`: parasite axis2 demo now crashes with log x-axis
+* :ghissue:`8871`: Error when using quantities when plotting errorbars
+* :ghissue:`6658`: literature reference for 'viridis' colormap
+* :ghissue:`6789`: Tutorial pyplot_scales.py crashes when used with plt.tight_layout()
+* :ghissue:`6922`: imshow does not immediately update shared axes
+* :ghissue:`11879`: Unable to change filename when saving from figure window
+* :ghissue:`12225`: In histogram, bars whose count is larger than 2**31 sometimes become negative
+* :ghissue:`1461`: DOC: keyword arguments to plt.axes, plt.subpot, and fig.add_subplot
+* :ghissue:`12173`: Cannot import pyplot
+* :ghissue:`12217`: Python will suddenly not plot anymore
+* :ghissue:`12120`: Default legend behavior (loc='best') very slow for large amounts of data.
+* :ghissue:`12176`: import pyplot on MacOS without font cache will search entire subtree of current dir
+* :ghissue:`12146`: fix pdf docs
+* :ghissue:`12160`: MacOS: Cannot import name 'format_exc'
+* :ghissue:`12169`: Cannot install 3.0.0 "python setup.py egg_info" failed (freetype & png)
+* :ghissue:`12168`: pip install v3.0.0 'failed with exit status 1181'
+* :ghissue:`12107`: warnings re: deprecated pytest API with pytest 3.8
+* :ghissue:`12162`: https://matplotlib.org/users/beginner.html is outdated
+* :ghissue:`12010`: Popover over plot is very slow
+* :ghissue:`6739`: Make matplotlib fail more gracefully in headless environments
+* :ghissue:`3679`: Runtime detection for default backend
+* :ghissue:`11340`: matplotlib fails to install from source with intel compiler
+* :ghissue:`11838`: docs do not build on py3.7 due to small change in python handling of -m
+* :ghissue:`12115`: Plot in JS Animation has larger margin than "normal" PNG plot
diff --git a/doc/users/prev_whats_new/github_stats_3.0.3.rst b/doc/users/prev_whats_new/github_stats_3.0.3.rst
new file mode 100644
index 000000000000..5c1271e52e4f
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.0.3.rst
@@ -0,0 +1,147 @@
+.. _github-stats-3-0-3:
+
+GitHub statistics for 3.0.3 (Feb 28, 2019)
+==========================================
+
+GitHub statistics for 2018/11/10 (tag: v3.0.2) - 2019/02/28
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 14 issues and merged 92 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/40?closed=1>`__
+
+The following 19 authors contributed 157 commits.
+
+* Antony Lee
+* Christer Jensen
+* Christoph Gohlke
+* David Stansby
+* Elan Ernest
+* Elliott Sales de Andrade
+* ImportanceOfBeingErnest
+* James Adams
+* Jody Klymak
+* Johannes H. Jensen
+* Matthias Geier
+* MeeseeksMachine
+* Molly Rossow
+* Nelle Varoquaux
+* Paul Ivanov
+* Pierre Thibault
+* Thomas A Caswell
+* Tim Hoffmann
+* Tobia De Koninck
+
+GitHub issues and pull requests:
+
+Pull Requests (92):
+
+* :ghpull:`13493`: V3.0.3 prep
+* :ghpull:`13491`: V3.0.x pi
+* :ghpull:`13460`: Backport PR #13455 on branch v3.0.x (BLD: only try to get freetype src if src does not exist)
+* :ghpull:`13461`: Backport PR #13426 on branch v3.0.x (FIX: bbox_inches='tight' with only non-finite bounding boxes)
+* :ghpull:`13426`: FIX: bbox_inches='tight' with only non-finite bounding boxes
+* :ghpull:`13453`: Backport PR #13451 on branch v3.0.x (MNT: fix logic error where we never try the second freetype URL)
+* :ghpull:`13451`: MNT: fix logic error where we never try the second freetype URL
+* :ghpull:`13446`: Merge pull request #11246 from anntzer/download-jquery
+* :ghpull:`13437`: Backport PR #13436 on branch v3.0.x (Add get/set_in_layout to artist API docs.)
+* :ghpull:`13436`: Add get/set_in_layout to artist API docs.
+* :ghpull:`13432`: Really fix ArtistInspector.get_aliases
+* :ghpull:`13416`: Backport PR #13405 on branch v3.0.x (Fix imshow()ing PIL-opened images.)
+* :ghpull:`13418`: Backport PR #13412 and #13337 on branch v3.0.x
+* :ghpull:`13412`: CI: add additional qt5 deb package on travis
+* :ghpull:`13370`: Backport PR #13367 on branch v3.0.x (DOC: fix note of what version hold was deprecated in (2.0 not 2.1))
+* :ghpull:`13366`: Backport PR #13365 on branch v3.0.x (Fix gcc warning)
+* :ghpull:`13365`: Fix gcc warning
+* :ghpull:`13347`: Backport PR #13289 on branch v3.0.x (Fix unhandled C++ exception)
+* :ghpull:`13349`: Backport PR #13234 on branch v3.0.x
+* :ghpull:`13281`: MAINT install of pinned vers for travis
+* :ghpull:`13289`: Fix unhandled C++ exception
+* :ghpull:`13345`: Backport PR #13333 on branch v3.0.x (Fix possible leak of return of PySequence_GetItem.)
+* :ghpull:`13333`: Fix possible leak of return of PySequence_GetItem.
+* :ghpull:`13337`: Bump to flake8 3.7.
+* :ghpull:`13340`: Backport PR #12398 on branch v3.0.x (CI: Don't run AppVeyor/Travis for doc backport branches.)
+* :ghpull:`13317`: Backport PR #13316 on branch v3.0.x (Put correct version in constrained layout tutorial)
+* :ghpull:`13308`: Backport PR #12678 on branch v3.0.x
+* :ghpull:`12678`: FIX: properly set tz for YearLocator
+* :ghpull:`13291`: Backport PR #13287 on branch v3.0.x (Fix unsafe use of NULL pointer)
+* :ghpull:`13290`: Backport PR #13288 on branch v3.0.x (Fix potential memory leak)
+* :ghpull:`13287`: Fix unsafe use of NULL pointer
+* :ghpull:`13288`: Fix potential memory leak
+* :ghpull:`13273`: Backport PR #13272 on branch v3.0.x (DOC Better description of inset locator and colorbar)
+* :ghpull:`12812`: Backport PR #12809 on branch v3.0.x (Fix TypeError when calculating tick_values)
+* :ghpull:`13245`: Backport PR #13244 on branch v3.0.x (Fix typo)
+* :ghpull:`13176`: Backport PR #13047 on branch v3.0.x (Improve docs on contourf extend)
+* :ghpull:`13215`: Backport PR #13212 on branch v3.0.x (Updated the docstring for pyplot.figure to list floats as the type for figsize argument)
+* :ghpull:`13158`: Backport PR #13150 on branch v3.0.x (Remove unused add_dicts from example.)
+* :ghpull:`13157`: Backport PR #13152 on branch v3.0.x (DOC: Add explanatory comment for colorbar with axes divider example)
+* :ghpull:`13221`: Backport PR #13194 on branch v3.0.x (TST: Fix incorrect call to pytest.raises.)
+* :ghpull:`13230`: Backport PR #13226 on branch v3.0.x (Avoid triggering warnings in mandelbrot example.)
+* :ghpull:`13216`: Backport #13205 on branch v3.0.x (Add xvfb service to travis)
+* :ghpull:`13194`: TST: Fix incorrect call to pytest.raises.
+* :ghpull:`13212`: Updated the docstring for pyplot.figure to list floats as the type for figsize argument
+* :ghpull:`13205`: Add xvfb service to travis
+* :ghpull:`13204`: Add xvfb service to travis
+* :ghpull:`13175`: Backport PR #13015 on branch v3.0.x (Enable local doc building without git installation)
+* :ghpull:`13047`: Improve docs on contourf extend
+* :ghpull:`13015`: Enable local doc building without git installation
+* :ghpull:`13159`: Revert "Pin pytest to <3.8 (for 3.0.x)"
+* :ghpull:`13150`: Remove unused add_dicts from example.
+* :ghpull:`13152`: DOC: Add explanatory comment for colorbar with axes divider example
+* :ghpull:`13085`: Backport PR #13081 on branch v3.0.x (DOC: forbid a buggy version of pillow for building docs)
+* :ghpull:`13082`: Backport PR #13080 on branch v3.0.x (Pin pillow to < 5.4 to fix doc build)
+* :ghpull:`13054`: Backport PR #13052 on branch v3.0.x (Small bug fix in image_slices_viewer)
+* :ghpull:`13052`: Small bug fix in image_slices_viewer
+* :ghpull:`13036`: Backport PR #12949 on branch v3.0.x (Update docstring of Axes3d.scatter)
+* :ghpull:`12949`: Update docstring of Axes3d.scatter
+* :ghpull:`13004`: Backport PR #13001: Update windows build instructions
+* :ghpull:`13011`: Backport PR #13006 on branch v3.0.x (Add category module to docs)
+* :ghpull:`13009`: Fix dependencies for travis build with python 3.5
+* :ghpull:`13006`: Add category module to docs
+* :ghpull:`13001`: Update windows build instructions
+* :ghpull:`12996`: Fix return type in 3D scatter docs
+* :ghpull:`12972`: Backport PR #12929 on branch v3.0.x (FIX: skip gtk backend if gobject but not pygtk is installed)
+* :ghpull:`12596`: Use sudo:true for nightly builds.
+* :ghpull:`12929`: FIX: skip gtk backend if gobject but not pygtk is installed
+* :ghpull:`12965`: Backport PR #12960 on branch v3.0.x (Remove animated=True from animation docs)
+* :ghpull:`12964`: Backport PR #12938 on branch v3.0.x (Fix xtick.minor.visible only acting on the xaxis)
+* :ghpull:`12938`: Fix xtick.minor.visible only acting on the xaxis
+* :ghpull:`12937`: Backport PR #12914 on branch 3.0.x: Fix numpydoc formatting
+* :ghpull:`12914`: Fix numpydoc formatting
+* :ghpull:`12923`: Backport PR #12921 on branch v3.0.x (Fix documentation of vert parameter of Axes.bxp)
+* :ghpull:`12921`: Fix documentation of vert parameter of Axes.bxp
+* :ghpull:`12912`: Backport PR #12878 on branch v3.0.2-doc (Pin pytest to <3.8 (for 3.0.x))
+* :ghpull:`12906`: Backport PR #12774 on branch v3.0.x
+* :ghpull:`12774`: Cairo backend: Fix alpha render of collections
+* :ghpull:`12854`: Backport PR #12835 on branch v3.0.x (Don't fail tests if cairo dependency is not installed.)
+* :ghpull:`12896`: Backport PR #12848 on branch v3.0.x (Fix spelling of the name Randall Munroe)
+* :ghpull:`12894`: Backport PR #12890 on branch v3.0.x (Restrict postscript title to ascii.)
+* :ghpull:`12838`: Backport PR #12795 on branch v3.0.x (Fix Bezier degree elevation formula in backend_cairo.)
+* :ghpull:`12843`: Backport PR #12824 on branch v3.0.x
+* :ghpull:`12890`: Restrict postscript title to ascii.
+* :ghpull:`12878`: Pin pytest to <3.8 (for 3.0.x)
+* :ghpull:`12870`: Backport PR #12869 on branch v3.0.x (Fix latin-1-ization of Title in eps.)
+* :ghpull:`12869`: Fix latin-1-ization of Title in eps.
+* :ghpull:`12835`: Don't fail tests if cairo dependency is not installed.
+* :ghpull:`12848`: Fix spelling of the name Randall Munroe
+* :ghpull:`12795`: Fix Bezier degree elevation formula in backend_cairo.
+* :ghpull:`12824`: Add missing datestr2num to docs
+* :ghpull:`12791`: Backport PR #12790 on branch v3.0.x (Remove ticks and titles from tight bbox tests.)
+* :ghpull:`12790`: Remove ticks and titles from tight bbox tests.
+
+Issues (14):
+
+* :ghissue:`10360`: creating PathCollection proxy artist with %matplotlib inline raises ValueError: cannot convert float NaN to integer
+* :ghissue:`13276`: calling annotate with nan values for the position still gives error after 3.0.2
+* :ghissue:`13450`: Issues with jquery download caching
+* :ghissue:`13223`: label1On set to true when axis.tick_params(axis='both', which='major', length=5)
+* :ghissue:`13311`: docs unclear on status of constraint layout
+* :ghissue:`12675`: Off-by-one bug in annual axis labels when localized time crosses year boundary
+* :ghissue:`13208`: Wrong argument type for figsize in documentation for figure
+* :ghissue:`13201`: test_backend_qt tests failing
+* :ghissue:`13013`: v3.0.2 local html docs "git describe" error
+* :ghissue:`13051`: Missing self in image_slices_viewer
+* :ghissue:`12920`: Incorrect return type in mplot3d documentation
+* :ghissue:`12907`: Tiny typo in documentation of matplotlib.figure.Figure.colorbar
+* :ghissue:`12892`: GTK3Cairo Backend Legend TypeError
+* :ghissue:`12815`: DOC: matplotlib.dates datestr2num function documentation is missing
diff --git a/doc/users/prev_whats_new/github_stats_3.1.0.rst b/doc/users/prev_whats_new/github_stats_3.1.0.rst
new file mode 100644
index 000000000000..97bee1af56b8
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.1.0.rst
@@ -0,0 +1,1251 @@
+.. _github-stats-3-1-0:
+
+GitHub statistics for 3.1.0 (May 18, 2019)
+==========================================
+
+GitHub statistics for 2018/09/18 (tag: v3.0.0) - 2019/05/18
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 161 issues and merged 918 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/35?closed=1>`__
+
+The following 150 authors contributed 3426 commits.
+
+* Abhinuv Nitin Pitale
+* Adam J. Stewart
+* Alistair Muldal
+* Alon Hershenhorn
+* Andras Deak
+* Ankur Dedania
+* Antony Lee
+* Anubhav Shrimal
+* Ao Liu (frankliuao)
+* Ayappan P
+* azure-pipelines[bot]
+* Bas van Schaik
+* Ben Root
+* Benjamin Bengfort
+* Benjamin Congdon
+* Bharat123rox
+* Brigitta Sipocz
+* btang02
+* Carsten
+* Carsten Schelp
+* Cho Yin Yong
+* Chris Zimmerman
+* Christer Jensen
+* Christoph Gohlke
+* Christoph Reiter
+* Christopher Bradshaw
+* Colin
+* Colin Carroll
+* dabana
+* Dana-Farber
+* Daniele Nicolodi
+* DanielMatu
+* David Haberthür
+* David Stansby
+* Dietmar Schwertberger
+* Dmitry Mottl
+* E\. G\. Patrick Bos
+* Elan Ernest
+* Elliott Sales de Andrade
+* Eric Firing
+* Eric Larson
+* Eric Wieser
+* esvhd
+* fredrik-1
+* fuzzythecat
+* Galen Lynch
+* Gazing
+* gwin-zegal
+* hannah
+* Harshal Prakash Patankar
+* hershen
+* Ildar Akhmetgaleev
+* ImportanceOfBeingErnest
+* Isa Hassen
+* Jae-Joon Lee
+* James A. Bednar
+* James Adams
+* Jan S. (Milania1)
+* Jarrod Millman
+* Jessica B. Hamrick
+* Jody Klymak
+* Joel T. Frederico
+* Joel Wanner
+* Johannes H. Jensen
+* Joseph Albert
+* Joshua Klein
+* Jouni K. Seppänen
+* Jun Tan
+* Kai Muehlbauer
+* Katrin Leinweber
+* Kayla Ngan
+* Kevin Rose
+* Kjell Le
+* KonradAdamczyk
+* ksunden
+* Kyle Sunden
+* Leon Loopik
+* Levi Kilcher
+* LevN0
+* luftek
+* Maik Riechert
+* Marcel Martin
+* Mark Harfouche
+* Marko Baštovanović
+* Matthias Bussonnier
+* Matthias Geier
+* Matti Picus
+* MeeseeksMachine
+* Michael Droettboom
+* Michael Jancsy
+* Mike Frysinger
+* Molly Rossow
+* MortenSHUTE
+* mromanie
+* nathan78906
+* Nelle Varoquaux
+* Nick Papior
+* Nicolas Courtemanche
+* Nikita Kniazev
+* njwhite
+* Oliver Natt
+* Paul
+* Paul Hobson
+* Paul Ivanov
+* Paul J. Koprowski
+* pharshalp
+* Phil Elson
+* Pierre Thibault
+* QiCuiHub
+* Rasmus Diederichsen
+* Ratin_Kumar
+* Rob Harrigan
+* Roman Yurchak
+* Ryan May
+* Ryan Morshead
+* Saket Choudhary
+* saksmito
+* SBCV
+* Sebastian Bullinger
+* Sebastian Hegler
+* Seunghoon Park
+* simon-kraeusel
+* smheidrich
+* Stephane Raynaud
+* Stephen-Chilcote
+* sxntxn
+* Taehoon Lee
+* Takafumi Arakaki
+* Taras
+* Taras Kuzyo
+* teresy
+* Thein Oo
+* Thomas A Caswell
+* Thomas Hisch
+* Thomas Robitaille
+* thoo
+* Tim Hoffmann
+* Tobia De Koninck
+* Tobias Megies
+* Tyler Makaro
+* V\. Armando Solé
+* Viraj Mohile
+* Will Handley
+* woclass
+* Yasaman-Mah
+* yeo
+* Yuxin Wu
+* Yuya
+* Zhili (Jerry) Pan
+* zhoubecky
+
+GitHub issues and pull requests:
+
+Pull Requests (918):
+
+* :ghpull:`14209`: Backport PR #14197 on branch v3.1.x (Minor cleanup of acorr/xcoor docs)
+* :ghpull:`14210`: Make intro tutorial less jargony.
+* :ghpull:`14197`: Minor cleanup of acorr/xcoor docs
+* :ghpull:`14203`: Backport PR #14202 on branch v3.1.x (Fix docstring of Line2D.set_data.)
+* :ghpull:`14202`: Fix docstring of Line2D.set_data.
+* :ghpull:`14196`: Backport PR #14188 on branch v3.1.x (Clarify scope of MouseEvent attributes)
+* :ghpull:`14188`: Clarify scope of MouseEvent attributes
+* :ghpull:`14194`: Backport PR #14167 on branch v3.1.x (Fix backend_pgf header.)
+* :ghpull:`14193`: Backport PR #14153 on branch v3.1.x (Update qt_compat.py test for already imported binding.)
+* :ghpull:`14167`: Fix backend_pgf header.
+* :ghpull:`14153`: Update qt_compat.py test for already imported binding.
+* :ghpull:`14190`: Backport PR #14176 on branch v3.1.x (Merge doc/api/api_overview and doc/api/index.)
+* :ghpull:`14192`: Unbreak testsuite for pytest 4.5.
+* :ghpull:`14189`: Backport PR #14186 on branch v3.1.x (Update FancyBboxPatch docs to numpydoc style)
+* :ghpull:`14176`: Merge doc/api/api_overview and doc/api/index.
+* :ghpull:`14186`: Update FancyBboxPatch docs to numpydoc style
+* :ghpull:`14187`: Backport PR #13169 on branch v3.1.x (Add example code for current logo)
+* :ghpull:`14165`: Backport PR #14156 on branch v3.1.x (Fix glyph loading in textpath.)
+* :ghpull:`14156`: Fix glyph loading in textpath.
+* :ghpull:`14162`: Backport PR #14150 on branch v3.1.x (Fix deprecation of withdash for figtext().)
+* :ghpull:`14150`: Fix deprecation of withdash for figtext().
+* :ghpull:`14136`: Backport PR #14109 on branch v3.1.x
+* :ghpull:`14109`: Some simple pyplot doc improvements
+* :ghpull:`14129`: Backport PR #14117 on branch v3.1.x (Simplify ribbon_box example.)
+* :ghpull:`14128`: Backport PR #14057 on branch v3.1.x (Improve Gradient bar example)
+* :ghpull:`14127`: Backport PR #14125 on branch v3.1.x (Remove extra keyword from pytest.skip call.)
+* :ghpull:`14117`: Simplify ribbon_box example.
+* :ghpull:`14057`: Improve Gradient bar example
+* :ghpull:`14125`: Remove extra keyword from pytest.skip call.
+* :ghpull:`14123`: Backport PR #14119 on branch v3.1.x (Add ridge_map to third party packages documentation)
+* :ghpull:`14119`: Add ridge_map to third party packages documentation
+* :ghpull:`14103`: Backport PR #14088 on branch v3.1.x (Cleanup major_minor_demo.)
+* :ghpull:`14102`: Backport PR #14100 on branch v3.1.x (Improve docstring of axes_zoom_effect example.)
+* :ghpull:`14099`: Backport PR #14090 on branch v3.1.x (Pep8ify some variable names in examples.)
+* :ghpull:`14100`: Improve docstring of axes_zoom_effect example.
+* :ghpull:`14088`: Cleanup major_minor_demo.
+* :ghpull:`14090`: Pep8ify some variable names in examples.
+* :ghpull:`14097`: Backport PR #14079 on branch v3.1.x (Consistently use axs.flat instead of axs.flatten())
+* :ghpull:`14095`: Backport PR #14087 on branch v3.1.x (Cleanup date example.)
+* :ghpull:`14094`: Backport PR #14029 on branch v3.1.x (Fix doc building with numpydoc 0.9)
+* :ghpull:`14093`: Backport PR #14052 on branch v3.1.x (Check axes identity in image.contains.)
+* :ghpull:`14092`: Backport PR #14056 on branch v3.1.x (FIX: do not try to manage the visibility of un-drawn ticks)
+* :ghpull:`14091`: Backport PR #14078 on branch v3.1.x (Minor fix in multiple subplots example)
+* :ghpull:`14079`: Consistently use axs.flat instead of axs.flatten()
+* :ghpull:`14087`: Cleanup date example.
+* :ghpull:`14029`: Fix doc building with numpydoc 0.9
+* :ghpull:`14052`: Check axes identity in image.contains.
+* :ghpull:`14056`: FIX: do not try to manage the visibility of un-drawn ticks
+* :ghpull:`14078`: Minor fix in multiple subplots example
+* :ghpull:`14080`: Backport PR #14069 on branch v3.1.x (Don't try to use the colorbar formatter to format RGBA data.)
+* :ghpull:`14069`: Don't try to use the colorbar formatter to format RGBA data.
+* :ghpull:`14074`: Backport PR #14019 on branch v3.1.x (Update docstring of locator_params())
+* :ghpull:`14019`: Update docstring of locator_params()
+* :ghpull:`14066`: Backport PR #14053 on branch v3.1.x (Improve fill() example)
+* :ghpull:`14065`: Backport PR #14059 on branch v3.1.x (Improve Scatter hist example)
+* :ghpull:`14067`: Backport PR #14062 on branch v3.1.x (Improve advanced quiver example)
+* :ghpull:`14062`: Improve advanced quiver example
+* :ghpull:`14053`: Improve fill() example
+* :ghpull:`14059`: Improve Scatter hist example
+* :ghpull:`14064`: Backport PR #14043 on branch v3.1.x (Ensure errorbars are always drawn on top of bars in ax.bar)
+* :ghpull:`14043`: Ensure errorbars are always drawn on top of bars in ax.bar
+* :ghpull:`14061`: Backport PR #14051 on branch v3.1.x (Add Yellowbrick to third party packages)
+* :ghpull:`14051`: Add Yellowbrick to third party packages
+* :ghpull:`14050`: Backport PR #14048 on branch v3.1.x (Fix Animation.save)
+* :ghpull:`14049`: Backport PR #14047 on branch v3.1.x (Remove references to "Draws" in matplotlib.patches)
+* :ghpull:`14048`: Fix Animation.save
+* :ghpull:`14047`: Remove references to "Draws" in matplotlib.patches
+* :ghpull:`14037`: Backport PR #14033 on branch v3.1.x (Reword add_subplot docstring.)
+* :ghpull:`14036`: Backport PR #14001 on branch v3.1.x ([BUG] DOC: Remove broken references to vischeck)
+* :ghpull:`14033`: Reword add_subplot docstring.
+* :ghpull:`14032`: Backport PR #14030 on branch v3.1.x (Update colorcet link)
+* :ghpull:`14030`: Update colorcet link
+* :ghpull:`14027`: Backport PR #14026 on branch v3.1.x (Fix bug in plot_directive that caused links to plots in different formats to be missing)
+* :ghpull:`14026`: Fix bug in plot_directive that caused links to plots in different formats to be missing
+* :ghpull:`14012`: Backport PR #14008 on branch v3.1.x (Don't install tests by default.)
+* :ghpull:`14017`: Backport PR #14015 on branch v3.1.x (Fix docstring of pyplot.clim())
+* :ghpull:`14015`: Fix docstring of pyplot.clim()
+* :ghpull:`14008`: Don't install tests by default.
+* :ghpull:`14006`: Backport PR #13998 on branch v3.1.x (Fix patch contains logic for patches that don't have any codes)
+* :ghpull:`14005`: Backport PR #14004 on branch v3.1.x (DOC: pin numpydoc to less than 0.9)
+* :ghpull:`13998`: Fix patch contains logic for patches that don't have any codes
+* :ghpull:`13999`: Backport PR #13992 on branch v3.1.x (FIX: undeprecate MaxNLocator default_params)
+* :ghpull:`13997`: Backport PR #13995 on branch v3.1.x (DOC: explain zorder for gridlines in grid docstring)
+* :ghpull:`13992`: FIX: undeprecate MaxNLocator default_params
+* :ghpull:`13995`: DOC: explain zorder for gridlines in grid docstring
+* :ghpull:`13990`: Backport PR #13989 on branch v3.1.x (FIX: update not replace hist_kwargs when density is passed)
+* :ghpull:`13989`: FIX: update not replace hist_kwargs when density is passed
+* :ghpull:`13975`: Backport PR #13966 on branch v3.1.x (Fix colorbar setting without artist)
+* :ghpull:`13976`: Backport PR #13973 on branch v3.1.x (BUG: Ensure docstrings are not accessed with -OO)
+* :ghpull:`13856`: What's new page for 3.1
+* :ghpull:`13966`: Fix colorbar setting without artist
+* :ghpull:`13973`: BUG: Ensure docstrings are not accessed with -OO
+* :ghpull:`13969`: Backport PR #13950 on branch v3.1.x (confidence_ellipse_markup)
+* :ghpull:`13950`: confidence_ellipse_markup
+* :ghpull:`13965`: Backport PR #13962 on branch v3.1.x (Fix typo in code example in docstring.)
+* :ghpull:`13964`: Backport PR #13870 on branch v3.1.x (3.1.0 API changes page)
+* :ghpull:`13962`: Fix typo in code example in docstring.
+* :ghpull:`13870`: 3.1.0 API changes page
+* :ghpull:`13961`: Backport PR #13914 on branch v3.1.x (Improve Rainbow text example)
+* :ghpull:`13960`: Backport PR #13958 on branch v3.1.x (Remove transparent fancy legend example)
+* :ghpull:`13914`: Improve Rainbow text example
+* :ghpull:`13958`: Remove transparent fancy legend example
+* :ghpull:`13956`: Backport PR #13908 on branch v3.1.x (Enh control tick deconflict2)
+* :ghpull:`13955`: Backport PR #13941 on branch v3.1.x (Add project_urls to setup)
+* :ghpull:`13908`: Enh control tick deconflict2
+* :ghpull:`13954`: Backport PR #13949 on branch v3.1.x (DOC: Add documentation to Text.set_fontfamily)
+* :ghpull:`13941`: Add project_urls to setup
+* :ghpull:`13949`: DOC: Add documentation to Text.set_fontfamily
+* :ghpull:`13951`: Backport PR #13939 on branch v3.1.x (Bunch of docstring cleanups.)
+* :ghpull:`13939`: Bunch of docstring cleanups.
+* :ghpull:`13947`: Backport PR #13897 on branch v3.1.x (numpydocification.)
+* :ghpull:`13897`: numpydocification.
+* :ghpull:`13946`: Backport PR #13924 on branch v3.1.x (Followup to deprecation of usetex parameter in get_text_path.)
+* :ghpull:`13924`: Followup to deprecation of usetex parameter in get_text_path.
+* :ghpull:`13916`: Backport PR #13850 on branch v3.1.x (Cleanup STIX Font Demo)
+* :ghpull:`13915`: Backport PR #13835 on branch v3.1.x (Improve Conectionstyle Demo)
+* :ghpull:`13850`: Cleanup STIX Font Demo
+* :ghpull:`13835`: Improve Conectionstyle Demo
+* :ghpull:`13846`: Backport PR #13836 on branch v3.1.x (MNT: account for cpython deprecations)
+* :ghpull:`13898`: Backport PR #13896 on branch v3.1.x (Fix cbook.boxplot_stats docstring)
+* :ghpull:`13896`: Fix cbook.boxplot_stats docstring
+* :ghpull:`13893`: Backport PR #13890 on branch v3.1.x (rst seealso -> numpydoc "See Also".)
+* :ghpull:`13890`: rst seealso -> numpydoc "See Also".
+* :ghpull:`13888`: Backport PR #13862 on branch v3.1.x (Move 3.x API changes to prev_api_changes)
+* :ghpull:`13862`: Move 3.x API changes to prev_api_changes
+* :ghpull:`13882`: Backport PR #13867 on branch v3.1.x (Rename "docs" to "contents" in navigation bar)
+* :ghpull:`13867`: Rename "docs" to "contents" in navigation bar
+* :ghpull:`13881`: Backport PR #13874 on branch v3.1.x (Remove redundant call to Formatter.set_locs() before .format_ticks().)
+* :ghpull:`13874`: Remove redundant call to Formatter.set_locs() before .format_ticks().
+* :ghpull:`13871`: Backport PR #13868 on branch v3.1.x (Correctly handle fallout of defining PY_SSIZE_T_CLEAN on Windows.)
+* :ghpull:`13869`: Backport PR #13861 on branch v3.1.x (Fix remaining links in docs)
+* :ghpull:`13868`: Correctly handle fallout of defining PY_SSIZE_T_CLEAN on Windows.
+* :ghpull:`13861`: Fix remaining links in docs
+* :ghpull:`13849`: Backport PR #13845 on branch v3.1.x (Fix some broken documentation links)
+* :ghpull:`13845`: Fix some broken documentation links
+* :ghpull:`13836`: MNT: account for cpython deprecations
+* :ghpull:`13841`: Backport PR #12928 on branch v3.1.x (textpath encoding)
+* :ghpull:`13842`: Backport PR #13827 on branch v3.1.x (Better MovieWriter init error message)
+* :ghpull:`13838`: Backport PR #13570 on branch v3.1.x (Add new example for plotting a confidence_ellipse)
+* :ghpull:`13827`: Better MovieWriter init error message
+* :ghpull:`13839`: Backport PR #13815 on branch v3.1.x (Numpydocify FontManager.findfont())
+* :ghpull:`13837`: Backport PR #8638 on branch v3.1.x (FIX: if bins input to hist is str, treat like no bins)
+* :ghpull:`12928`: textpath encoding
+* :ghpull:`13815`: Numpydocify FontManager.findfont()
+* :ghpull:`13570`: Add new example for plotting a confidence_ellipse
+* :ghpull:`8638`: FIX: if bins input to hist is str, treat like no bins
+* :ghpull:`13831`: Backport PR #13780 on branch v3.1.x (numpydoc ListedColormap parameters)
+* :ghpull:`13780`: numpydoc ListedColormap parameters
+* :ghpull:`13830`: Backport PR #13829 on branch v3.1.x (numpydoc IndexFormatter)
+* :ghpull:`13829`: numpydoc IndexFormatter
+* :ghpull:`13828`: Backport PR #13821 on branch v3.1.x (Remove \mathcircled from mathtext docs following its deprecation.)
+* :ghpull:`13821`: Remove \mathcircled from mathtext docs following its deprecation.
+* :ghpull:`13822`: Backport PR #13817 on branch v3.1.x (Remove borders from barcode example)
+* :ghpull:`13820`: Backport PR #13816 on branch v3.1.x (Correct windows env variable format)
+* :ghpull:`13816`: Correct windows env variable format
+* :ghpull:`13817`: Remove borders from barcode example
+* :ghpull:`13814`: Merge pull request #13805 from timhoffm/pin-sphinx-1.x
+* :ghpull:`13813`: Backport PR #13764 on branch v3.1.x (Deprecate \mathcircled.)
+* :ghpull:`13764`: Deprecate \mathcircled.
+* :ghpull:`13805`: Pin Sphinx to 1.x
+* :ghpull:`13807`: Backport PR #13800 on branch v3.1.x (Doc typos.)
+* :ghpull:`13800`: Doc typos.
+* :ghpull:`13806`: Backport PR #13771 on branch v3.1.x (patches.Arc docstring update #13759)
+* :ghpull:`13804`: Backport PR #13766 on branch v3.1.x (Search for fonts in XDG directory as well.)
+* :ghpull:`13771`: patches.Arc docstring update #13759
+* :ghpull:`13766`: Search for fonts in XDG directory as well.
+* :ghpull:`13794`: Backport PR #13695 on branch v3.1.x (numpydocify transform_angles.)
+* :ghpull:`13793`: Backport PR #13762 on branch v3.1.x (Cleanup marker_reference example.)
+* :ghpull:`13792`: Backport PR #13789 on branch v3.1.x (BUG: Fix function signature mismatch for set_clim)
+* :ghpull:`13791`: Backport PR #13787 on branch v3.1.x (Fix failure to import matplotlib.animation on Windows.)
+* :ghpull:`13695`: numpydocify transform_angles.
+* :ghpull:`13762`: Cleanup marker_reference example.
+* :ghpull:`13789`: BUG: Fix function signature mismatch for set_clim
+* :ghpull:`13787`: Fix failure to import matplotlib.animation on Windows.
+* :ghpull:`13781`: Backport PR #13777 on branch v3.1.x (Use class-based directive for mathmpl sphinxext.)
+* :ghpull:`13790`: Backport PR #13564 on branch v3.1.x (Add an option to log progress while saving animations)
+* :ghpull:`13564`: Add an option to log progress while saving animations
+* :ghpull:`13777`: Use class-based directive for mathmpl sphinxext.
+* :ghpull:`13765`: Backport PR #13761 on branch v3.1.x (Deprecate verbose-related rcParams.)
+* :ghpull:`13761`: Deprecate verbose-related rcParams.
+* :ghpull:`13760`: Backport PR #13719 on branch v3.1.x (Doc: Update timeline example)
+* :ghpull:`13704`: Backport PR #13021 on branch v3.1.x (Undesirable behaviour of MixedModeRenderer)
+* :ghpull:`13758`: Backport PR #13674 on branch v3.1.x (Preserve whitespace in svg output.)
+* :ghpull:`13719`: Doc: Update timeline example
+* :ghpull:`13674`: Preserve whitespace in svg output.
+* :ghpull:`13755`: Backport PR #13741 on branch v3.1.x (FIX: make title move above ticklabels)
+* :ghpull:`13754`: Backport PR #13712 on branch v3.1.x (Deprecate NavigationToolbar2QT.adj_window (unused and always None).)
+* :ghpull:`13741`: FIX: make title move above ticklabels
+* :ghpull:`13712`: Deprecate NavigationToolbar2QT.adj_window (unused and always None).
+* :ghpull:`13752`: Backport PR #13732 on branch v3.1.x (Fix doc markup.)
+* :ghpull:`13753`: Backport PR #13751 on branch v3.1.x (DOC/FIX: try merging comments)
+* :ghpull:`13751`: DOC/FIX: try merging comments
+* :ghpull:`13732`: Fix doc markup.
+* :ghpull:`13750`: Backport PR #13743 on branch v3.1.x (Fix doc warning)
+* :ghpull:`13743`: Fix doc warning
+* :ghpull:`13747`: Backport PR #13745 on branch v3.1.x (Fix stem(use_line_collection))
+* :ghpull:`13748`: Backport PR #13716 on branch v3.1.x (Kill attributes that are never used/updated.)
+* :ghpull:`13716`: Kill attributes that are never used/updated.
+* :ghpull:`13745`: Fix stem(use_line_collection)
+* :ghpull:`13710`: TST: only test agg_filter extensions with baseline images
+* :ghpull:`13709`: Backport PR #8690 on branch v3.1.x
+* :ghpull:`13707`: Backport PR #12760 on branch v3.1.x (Deduplicate implementation of per-backend Tools.)
+* :ghpull:`13706`: Backport PR #13689 on branch v3.1.x (BUG: fix scaling of quiverkey when quiver scale_units='xy')
+* :ghpull:`13705`: Backport PR #12419 on branch v3.1.x (Add DivergingNorm (again, again, again))
+* :ghpull:`13703`: Backport PR #12170 on branch v3.1.x (Deprecate considering \*args, \*\*kwargs in Timer.remove_callback.)
+* :ghpull:`12760`: Deduplicate implementation of per-backend Tools.
+* :ghpull:`13689`: BUG: fix scaling of quiverkey when quiver scale_units='xy'
+* :ghpull:`12419`: Add DivergingNorm (again, again, again)
+* :ghpull:`8690`: Adds support for rgba and rgb images to pcolorfast
+* :ghpull:`13021`: Undesirable behaviour of MixedModeRenderer
+* :ghpull:`12170`: Deprecate considering \*args, \*\*kwargs in Timer.remove_callback.
+* :ghpull:`13700`: Backport PR #13588 on branch v3.1.x (FIX: fallback to viewlims if no data)
+* :ghpull:`13694`: Backport PR #13677 on branch v3.1.x (Log all failures to extract font properties.)
+* :ghpull:`13588`: FIX: fallback to viewlims if no data
+* :ghpull:`13692`: Backport PR #13677 on branch v3.0.x (Log all failures to extract font properties.)
+* :ghpull:`13677`: Log all failures to extract font properties.
+* :ghpull:`13691`: Backport PR #13687 on branch v3.1.x (Update stem example)
+* :ghpull:`13687`: Update stem example
+* :ghpull:`13688`: Backport PR #13684 on branch v3.1.x (Use format_data_short to format image cursor data.)
+* :ghpull:`13684`: Use format_data_short to format image cursor data.
+* :ghpull:`13686`: Backport PR #13363 on branch v3.1.x (Inline iter_ticks into _update_ticks, and use that in mplot3d.)
+* :ghpull:`13363`: Inline iter_ticks into _update_ticks, and use that in mplot3d.
+* :ghpull:`13681`: Backport PR #13678 on branch v3.1.x (Fix font deduplication logic in createFontList.)
+* :ghpull:`13678`: Fix font deduplication logic in createFontList.
+* :ghpull:`13669`: Backport PR #13667 on branch v3.1.x (Fix incorrect signature in axis() doc.)
+* :ghpull:`13667`: Fix incorrect signature in axis() doc.
+* :ghpull:`13664`: Backport PR #12637 on branch v3.1.x (Tell IPython the correct GUI event loop to use for all backends.)
+* :ghpull:`13665`: Backport PR #13601 on branch v3.1.x (Add a make-parameter-keyword-only-with-deprecation decorator.)
+* :ghpull:`13601`: Add a make-parameter-keyword-only-with-deprecation decorator.
+* :ghpull:`12637`: Tell IPython the correct GUI event loop to use for all backends.
+* :ghpull:`13662`: Backport PR #13064 on branch v3.1.x (Don't explicitly add default include paths to Extensions)
+* :ghpull:`13064`: Don't explicitly add default include paths to Extensions
+* :ghpull:`13658`: Backport PR #13652 on branch v3.1.x (Fix empty FancyArrow crash)
+* :ghpull:`13652`: Fix empty FancyArrow crash
+* :ghpull:`13655`: Backport PR #11692 on branch v3.1.x (Deprecate frameon kwarg and rcParam to savefig.)
+* :ghpull:`13654`: Backport PR #13614 on branch v3.1.x (Fix polar get window extent)
+* :ghpull:`11692`: Deprecate frameon kwarg and rcParam to savefig.
+* :ghpull:`13614`: Fix polar get window extent
+* :ghpull:`13646`: Backport PR #13645 on branch v3.1.x (widgets.py fix examples connect -> mpl_connect)
+* :ghpull:`13645`: widgets.py fix examples connect -> mpl_connect
+* :ghpull:`13644`: Backport PR #13612 on branch v3.1.x (Improve Demo Text Rotation Mode)
+* :ghpull:`13612`: Improve Demo Text Rotation Mode
+* :ghpull:`13636`: Backport PR #13621 on branch v3.1.x (Remove ``asfileobj=False`` from a bunch of examples loading sample_data.)
+* :ghpull:`13635`: Backport PR #13632 on branch v3.1.x (Clarify tick collision API change doc.)
+* :ghpull:`13634`: Backport PR #13631 on branch v3.1.x (Switch deprecation of Tick.label to pending.)
+* :ghpull:`13621`: Remove ``asfileobj=False`` from a bunch of examples loading sample_data.
+* :ghpull:`13632`: Clarify tick collision API change doc.
+* :ghpull:`13631`: Switch deprecation of Tick.label to pending.
+* :ghpull:`13628`: Backport PR #13603 on branch v3.1.x
+* :ghpull:`13603`: FIX: continue to bail tight layout if rect supplied
+* :ghpull:`13627`: Backport PR #13622 on branch v3.1.x (Change title of named colors example)
+* :ghpull:`13626`: Backport PR #13549 on branch v3.1.x (Simplify some annotation() calls in examples.)
+* :ghpull:`13624`: Backport PR #13610 on branch v3.1.x (Update centered ticklabels example)
+* :ghpull:`13625`: Backport PR #13611 on branch v3.1.x (Fix text position in Fancytextbox demo)
+* :ghpull:`13622`: Change title of named colors example
+* :ghpull:`13610`: Update centered ticklabels example
+* :ghpull:`13611`: Fix text position in Fancytextbox demo
+* :ghpull:`13607`: Backport PR #13605 on branch v3.1.x (Warn on attempts at semi-transparent outputs in ps backend.)
+* :ghpull:`13608`: Backport PR #13602 on branch v3.1.x (Deprecate cbook.is_hashable.)
+* :ghpull:`13602`: Deprecate cbook.is_hashable.
+* :ghpull:`13605`: Warn on attempts at semi-transparent outputs in ps backend.
+* :ghpull:`13599`: Backport PR #13590 on branch v3.1.x (Doc event loop requirements for Figure.show)
+* :ghpull:`13590`: Doc event loop requirements for Figure.show
+* :ghpull:`13597`: Backport PR #12359 on branch v3.1.x (ENH: Add boolean support for axis())
+* :ghpull:`13594`: Backport PR #13592 on branch v3.1.x (DOC: Make canonical URLs point to versioned path.)
+* :ghpull:`13592`: DOC: Make canonical URLs point to versioned path.
+* :ghpull:`12359`: ENH: Add boolean support for axis()
+* :ghpull:`13587`: Backport PR #13573 on branch v3.1.x (Fix mplot3d transparency)
+* :ghpull:`13573`: Fix mplot3d transparency
+* :ghpull:`13585`: Backport PR #13578 on branch v3.1.x (Revert invalid change in Centered Ticklabels example)
+* :ghpull:`13584`: Backport PR #13582 on branch v3.1.x (Cleanup two font-related examples.)
+* :ghpull:`13578`: Revert invalid change in Centered Ticklabels example
+* :ghpull:`13582`: Cleanup two font-related examples.
+* :ghpull:`13579`: Backport PR #13477 on branch v3.1.x (FIX: make EngFormatter respect axes.unicode_minus rcParam)
+* :ghpull:`13577`: Backport PR #12832 on branch v3.1.x (Deprecate redundant log-scale transform classes.)
+* :ghpull:`13477`: FIX: make EngFormatter respect axes.unicode_minus rcParam
+* :ghpull:`12832`: Deprecate redundant log-scale transform classes.
+* :ghpull:`13574`: Backport PR #12856 on branch v3.1.x (added property  usemathtext to EngFormatter)
+* :ghpull:`12856`: added property  usemathtext to EngFormatter
+* :ghpull:`13572`: Backport PR #12899 on branch v3.1.x (Small cleanups.)
+* :ghpull:`13571`: Backport PR #11553 on branch v3.1.x (Improved Code for Segments Intersect)
+* :ghpull:`12899`: Small cleanups.
+* :ghpull:`11553`: Improved Code for Segments Intersect
+* :ghpull:`13568`: Backport PR #13563 on branch v3.1.x (FIX: inverted colorbar ticks)
+* :ghpull:`13563`: FIX: inverted colorbar ticks
+* :ghpull:`13530`: BUG: keep the ticks when the colorbar axis is inverted
+* :ghpull:`13565`: Backport PR #13550 on branch v3.1.x (Strip out Py2-compat in setupext.)
+* :ghpull:`13550`: Strip out Py2-compat in setupext.
+* :ghpull:`13562`: Backport PR #13560 on branch v3.1.x (Improve GridSpec doc)
+* :ghpull:`13560`: Improve GridSpec doc
+* :ghpull:`13558`: Backport PR #13546 on branch v3.1.x ( Modified docstring of the set_ylabel and set_xlabel)
+* :ghpull:`13559`: Backport PR #12062 on branch v3.1.x (Separate alpha and rbg interpolation then recombine to fix issue11316)
+* :ghpull:`13557`: Backport PR #13548 on branch v3.1.x (Deprecate TextWithDash.)
+* :ghpull:`12062`: Separate alpha and rbg interpolation then recombine to fix issue11316
+* :ghpull:`13546`:  Modified docstring of the set_ylabel and set_xlabel
+* :ghpull:`13548`: Deprecate TextWithDash.
+* :ghpull:`13549`: Simplify some annotation() calls in examples.
+* :ghpull:`13552`: Backport PR #11241 on branch v3.1.x (Deprecate the MATPLOTLIBDATA environment variable.)
+* :ghpull:`11241`: Deprecate the MATPLOTLIBDATA environment variable.
+* :ghpull:`13547`: Backport PR #9314 on branch v3.1.x (Simplify units.Registry.get_converter.)
+* :ghpull:`13545`: Backport PR #13541 on branch v3.1.x (DOC: Remove mention of 'complex' mode in specgram docstring)
+* :ghpull:`9314`: Simplify units.Registry.get_converter.
+* :ghpull:`13541`: DOC: Remove mention of 'complex' mode in specgram docstring
+* :ghpull:`13539`: Backport PR #12950 on branch v3.1.x (Inline or simplify FooFormatter.pprint_val.)
+* :ghpull:`13538`: Backport PR #12748 on branch v3.1.x (Use the builtin GTK3 FileChooser rather than our custom subclass.)
+* :ghpull:`13537`: Backport PR #12781 on branch v3.1.x (Lazy import of private modules)
+* :ghpull:`12950`: Inline or simplify FooFormatter.pprint_val.
+* :ghpull:`12748`: Use the builtin GTK3 FileChooser rather than our custom subclass.
+* :ghpull:`12781`: Lazy import of private modules
+* :ghpull:`11218`: fix pkg-config handling to make cross-compiling work
+* :ghpull:`13531`: Backport PR #11964 on branch v3.1.x (Simplify extension setup.)
+* :ghpull:`11964`: Simplify extension setup.
+* :ghpull:`13529`: Backport PR #13525 on branch v3.1.x (Move some links in rst out of running text.)
+* :ghpull:`13528`: Backport PR #13526 on branch v3.1.x (DOC: fix Subplot calls)
+* :ghpull:`13525`: Move some links in rst out of running text.
+* :ghpull:`13526`: DOC: fix Subplot calls
+* :ghpull:`13523`: Backport PR #13521 on branch v3.1.x (Small cleanup to headings of 3d examples.)
+* :ghpull:`13521`: Small cleanup to headings of 3d examples.
+* :ghpull:`13519`: Backport PR #12716 on branch v3.1.x (FIX: return the actual ax.get_window_extent)
+* :ghpull:`13518`: Backport PR #12839 on branch v3.1.x (BUG: Prevent Tick params calls from overwriting visibility without being told to)
+* :ghpull:`12716`: FIX: return the actual ax.get_window_extent
+* :ghpull:`12839`: BUG: Prevent Tick params calls from overwriting visibility without being told to
+* :ghpull:`13517`: Fix heading hierarchy in annotation tutorial.
+* :ghpull:`13516`: Backport PR #13514 on branch v3.1.x (Add missing show() at end of example.)
+* :ghpull:`13514`: Add missing show() at end of example.
+* :ghpull:`13512`: Backport PR #13511 on branch v3.1.x (Add missing plt.show() at end of example.)
+* :ghpull:`13511`: Add missing plt.show() at end of example.
+* :ghpull:`13508`: Backport PR #13413 on branch v3.1.x (Simplify decade up- and down-rounding, and symmetrize expansion of degenerate log scales.)
+* :ghpull:`13509`: Backport PR #13492 on branch v3.1.x (Doc more release updates)
+* :ghpull:`13492`: Doc more release updates
+* :ghpull:`13413`: Simplify decade up- and down-rounding, and symmetrize expansion of degenerate log scales.
+* :ghpull:`13507`: Backport PR #13488 on branch v3.1.x (Animation:  interactive zoom/pan with blitting does not work)
+* :ghpull:`13488`: Animation:  interactive zoom/pan with blitting does not work
+* :ghpull:`13505`: Backport PR #13459 on branch v3.1.x (Document histogramming pre-binned data.)
+* :ghpull:`13503`: Backport PR #10776 on branch v3.1.x (fix FancyArrowPatch picker fails depending on arrowstyle)
+* :ghpull:`13504`: Backport PR #13123 on branch v3.1.x (Add shading to Axes3D.voxels, and enable it by default)
+* :ghpull:`13502`: Backport PR #13180 on branch v3.1.x (Various TextPath cleanups.)
+* :ghpull:`13459`: Document histogramming pre-binned data.
+* :ghpull:`13501`: Backport PR #13209 on branch v3.1.x (Deprecate support for (n, 1)-shaped error arrays in errorbar().)
+* :ghpull:`13500`: Backport PR #12763 on branch v3.1.x (Remove deprecated rcParams.)
+* :ghpull:`13123`: Add shading to Axes3D.voxels, and enable it by default
+* :ghpull:`13499`: Backport PR #13303 on branch v3.1.x (Unify checking of executable info.)
+* :ghpull:`10776`: fix FancyArrowPatch picker fails depending on arrowstyle
+* :ghpull:`13180`: Various TextPath cleanups.
+* :ghpull:`13498`: Backport PR #13314 on branch v3.1.x (Move major/minor tick overstrike logic to Axis.)
+* :ghpull:`13209`: Deprecate support for (n, 1)-shaped error arrays in errorbar().
+* :ghpull:`12763`: Remove deprecated rcParams.
+* :ghpull:`13303`: Unify checking of executable info.
+* :ghpull:`13497`: Backport PR #13057 on branch v3.1.x (Simplify callable(self._contains) checks)
+* :ghpull:`13314`: Move major/minor tick overstrike logic to Axis.
+* :ghpull:`13057`: Simplify callable(self._contains) checks
+* :ghpull:`13496`: Backport PR #13465 on branch v3.1.x (FIX: polar set_rlim allow bottom-only call)
+* :ghpull:`13465`: FIX: polar set_rlim allow bottom-only call
+* :ghpull:`13495`: Backport PR #12232 on branch v3.1.x (Add helper function to check that an argument is in a list of strings.)
+* :ghpull:`12232`: Add helper function to check that an argument is in a list of strings.
+* :ghpull:`11708`: Revert "Skip wx interactive tests on OSX."
+* :ghpull:`13062`: Update FAQ re: batch/webserver use.
+* :ghpull:`12904`: Support forward/backward mouse buttons
+* :ghpull:`12150`: Deprecate \stackrel.
+* :ghpull:`13449`: Let boxplot() defer rcParams application to bxp()
+* :ghpull:`13425`: API: un-deprecate keyword only args to set_xlim, set_ylim
+* :ghpull:`13447`: Update axes_grid docs
+* :ghpull:`13473`: Deprecate backend_wx.IDLE_DELAY.
+* :ghpull:`13476`: Add font to pyplot.xkcd()
+* :ghpull:`13475`: Cleanup titles of embedding examples.
+* :ghpull:`13468`: Suppress chaining of cache lookup failure in color conversion.
+* :ghpull:`13467`: Add "c" shorthand for "color" for the Text class.
+* :ghpull:`13398`: FIX: let pandas IndexInt64 work for boxplot
+* :ghpull:`13375`: Improve Axes selection in Qt figure options.
+* :ghpull:`13421`: DOC: update release guide
+* :ghpull:`13275`: Simple logging interface.
+* :ghpull:`13427`: Simplify check for tight-bbox finiteness.
+* :ghpull:`13444`: Allow constructing boxplots over multiple calls.
+* :ghpull:`13385`: Remove/rework uses of np.where where possible.
+* :ghpull:`13441`: Make AFM parser both more compliant and less strict.
+* :ghpull:`13384`: Replace np.compress by boolean indexing.
+* :ghpull:`13422`: Clarify IndexError for out-of-bounds indexing of gridspec.
+* :ghpull:`13443`: Remove some outdated comments from rcsetup.py.
+* :ghpull:`13357`: Inherit some docstrings in backend code.
+* :ghpull:`12380`: Stem speedup2
+* :ghpull:`13368`: FIX: Fix shape of hist output when input is multidimensional empty list
+* :ghpull:`5590`: [mpl_toolkits] Fix picking for things drawn on parasite axes
+* :ghpull:`13323`: Move the call to Formatter.set_locs into Formatter.format_ticks.
+* :ghpull:`13424`: Deprecate Quiver.color in favor of Quiver.get_facecolor().
+* :ghpull:`13434`: More smoketesting of pcolorfast.
+* :ghpull:`13395`: Cleanup demo_curvelinear_grid.
+* :ghpull:`13411`: Deemphasize numeric locations for legend() in docs.
+* :ghpull:`13419`: FIX: secondary_axis resize
+* :ghpull:`13020`: Deprecate proj3d.mod.
+* :ghpull:`13030`: Deprecate internal functions exposed in the public API of mplot3d
+* :ghpull:`13408`: test_figure style fixes.
+* :ghpull:`11127`: Legend for Scatter
+* :ghpull:`11855`: Adding the possible to add full command line in animation
+* :ghpull:`13409`: Add nonsingular to the locator base class, and use it in set_*lim too.
+* :ghpull:`11859`: ENH: add secondary x/y axis
+* :ghpull:`13235`: Vectorize mplot3d.art3d.zalpha.
+* :ghpull:`10411`: New "accepts units" decorator
+* :ghpull:`13403`: FIX: remove idle_event
+* :ghpull:`13069`: 5 minor divisions when major ticks are 2.5 units apart
+* :ghpull:`13402`: Fix empty reshape2d
+* :ghpull:`11683`: Reuse axes_grid1's AxisDict in axisartist, instead of duplicating it.
+* :ghpull:`12141`: Let digits toggle axes nav only if they correspond to an existing axes.
+* :ghpull:`9845`: Add inaxes method to FigureCanvas to check whether point is in an axes.
+* :ghpull:`13396`: mpl_toolkits style fixes.
+* :ghpull:`11497`: Make CI fail if interactive toolkits can't be tested
+* :ghpull:`11595`: test doc rendering
+* :ghpull:`13393`: Deprecate Spine.is_frame_like.
+* :ghpull:`13391`: Remove colour specification from some examples
+* :ghpull:`13386`: Replace use of np.<ufunc> by operators (</&/\|).
+* :ghpull:`13389`: Inherit more docstrings.
+* :ghpull:`13387`: Fix regression in docstring.dedent_interpd.
+* :ghpull:`13383`: Replace np.take by normal indexing.
+* :ghpull:`13381`: Avoid unneeded copies from flatten().
+* :ghpull:`13354`: Properly deprecate non-1D inputs to pie().
+* :ghpull:`13379`: Remove citation entry from FAQ.
+* :ghpull:`13380`: Minor simplifications to scatter3d.
+* :ghpull:`13173`: Decorator for deleting a parameter with a deprecation period.
+* :ghpull:`8205`: [MRG+1] plot_date() after axhline() doesn't rescale axes
+* :ghpull:`11027`: Specify custom tick space heuristic in MaxNLocator
+* :ghpull:`13262`: Shorten setupext and remove uninformative build log entries.
+* :ghpull:`13377`: Add private helper to internally suppress deprecations.
+* :ghpull:`13376`: Undeprecate case-insensitive "long" colornames.
+* :ghpull:`13373`: Deprecate axis3d.Axis.get_tick_positions.
+* :ghpull:`13362`: Kill the unused, private _get_pixel_distance_along_axis.
+* :ghpull:`12772`: Improve plot() docstring.
+* :ghpull:`13359`: DOC: change language a bit
+* :ghpull:`13351`: Fix: Log Colorbar minorticks_off reverted if ticks set
+* :ghpull:`13356`: More spelling fixes.
+* :ghpull:`13125`: Simplify and tighten the docstring handling API.
+* :ghpull:`13346`: Simplify parsing of tuple in C extension code.
+* :ghpull:`13282`: MAINT install of pinned vers for travis
+* :ghpull:`13234`: FIX: allow colorbar mappable norm to change and do right thing
+* :ghpull:`13269`: Rework a bit axes addition.
+* :ghpull:`13330`: Add Axis.get_inverted and Axis.set_inverted.
+* :ghpull:`13117`: Cleanup matplotlib.use
+* :ghpull:`13335`: Update and factor out Axis.get_tick_positions.
+* :ghpull:`13324`: Cleanup ScalarFormatter; preparatory to moving it to format_ticks.
+* :ghpull:`13322`: Update Axis docs
+* :ghpull:`13342`: Update some (mostly internal) docstrings in image.py.
+* :ghpull:`11848`: Country specific characters in Windows user folder name when locating .tfm-file
+* :ghpull:`13309`: bezier cleanups.
+* :ghpull:`13334`: Inherit some docstrings.
+* :ghpull:`13332`: Rewrite convert_to_string using std::string
+* :ghpull:`13336`: Update imshow docs.
+* :ghpull:`13331`: Try forcing font cache rebuild in flaky ttc test.
+* :ghpull:`12105`: API: make MaxNLocator trim out-of-view ticks before returning
+* :ghpull:`13329`: Pin flake8<3.7 to mitigate issues with flake8-per-file-ignores
+* :ghpull:`13319`: Deprecate dates.{str,bytes}pdate2num.
+* :ghpull:`13320`: Kill some private, unused functions in dates.py.
+* :ghpull:`12909`: Let Formatters format all ticks at once.
+* :ghpull:`13313`: Better explanation of ticks
+* :ghpull:`13310`: Replace \*kw by \*args.
+* :ghpull:`13285`: Defer checking of tex install to when it is actually used.
+* :ghpull:`13128`: Parameter-renaming decorator
+* :ghpull:`13307`: Spelling fixes.
+* :ghpull:`13304`: TST: deregister pandas
+* :ghpull:`13300`: Trivial bezier cleanups.
+* :ghpull:`11664`: FIX: clean up unit conversion unpacking of data, particularly for dates and pandas series
+* :ghpull:`9639`: Unify querying of executable versions
+* :ghpull:`13224`: numpydocify (some of) mpl_toolkits.
+* :ghpull:`13301`: Replace np.empty + ndarray.fill by np.full.
+* :ghpull:`13229`: Prevent exception when running animation on Agg backend.
+* :ghpull:`13263`: In imsave()'s Pillow-handled case, don't create a temporary figure.
+* :ghpull:`13294`: Simplify some calculations in polar.py.
+* :ghpull:`13295`: Kill some commented-out code.
+* :ghpull:`13298`: Add note about thread safety to FAQ.
+* :ghpull:`13299`: Don't emit a non-GUI warning when building the docs on Linux.
+* :ghpull:`13297`: Minor cleanup to OSX FAQ.
+* :ghpull:`13283`: Fix doc style in add_gridspec()
+* :ghpull:`13129`: ENH: add a user-friendly verbose interface
+* :ghpull:`13279`: Remove a useless catch_warnings() from example.
+* :ghpull:`13268`: Select RadioButtons by closest in position.
+* :ghpull:`13271`: Fix animation speed in double_pendulum example
+* :ghpull:`13265`: Allow turning off minor ticks on Colorbar with LogNorm
+* :ghpull:`13260`: Improve docs for format determination in savefig()/imsave().
+* :ghpull:`12379`: MAINT Use np.full when possible
+* :ghpull:`12905`: Add optional parameter use_default_template to rc_file()
+* :ghpull:`13218`: Fix checking of 'labels' argument to Sankey.add.
+* :ghpull:`13256`: DOC: reject MEP25 due to being stalled
+* :ghpull:`13255`: TST pandas support bar
+* :ghpull:`13251`: DEBUG-log font-matching results, and print failing logs on CI.
+* :ghpull:`12818`: Enh arbitrary scale
+* :ghpull:`13187`: FIX: bar mixed units, allow ValueError as well
+* :ghpull:`13232`: Fix incorrect kwarg being passed to TextPath.
+* :ghpull:`13250`: Replace safezip() by more informative error message in errorbar().
+* :ghpull:`13239`: Improve sankey logging.
+* :ghpull:`13247`: Simplify and optimize png writing in backend_pdf.
+* :ghpull:`12455`: Warn when "best" loc of legend is used with lots of data
+* :ghpull:`13233`: Remove warning in image_annotated_heatmap, and numpydocify it.
+* :ghpull:`13248`: Remove an unused local variable in backend_gtk3.
+* :ghpull:`13249`: Deprecate an unused "internal" API.
+* :ghpull:`13243`: Rewrite subplots_demo
+* :ghpull:`13240`: FIX: spelling error of local variable in category
+* :ghpull:`13026`: MNT: add a logging call if a categorical string array is all convertible
+* :ghpull:`13225`: Fix a warning in the doc build.
+* :ghpull:`13227`: Make color lowercase in example to avoid warning.
+* :ghpull:`13217`: numpydocify Sankey.add.
+* :ghpull:`10209`: Various backend cleanups.
+* :ghpull:`13113`: Globally cache single TexManager instances.
+* :ghpull:`13213`: Broadcast 'orientations' arg to Sankey.add.
+* :ghpull:`13219`: Fix some backend_bases docstrings.
+* :ghpull:`13214`: Reformat Sankey exceptions.
+* :ghpull:`13211`: Deprecate case-insensitive colors.
+* :ghpull:`13210`: Suppress a warning in the test suite.
+* :ghpull:`13189`: Remove cairo-based backends from backend fallback.
+* :ghpull:`13207`: Allow saving PNGs through Pillow instead of the builtin _png module.
+* :ghpull:`13124`: Simplify parsing of errorbar input.
+* :ghpull:`13162`: DOC: better argcheck bar
+* :ghpull:`8531`: Added compression option to save TIFF images
+* :ghpull:`13094`: Allow passing arguments to PIL.Image.save().
+* :ghpull:`13202`: Avoid private API in some examples.
+* :ghpull:`13197`: Cleanup the text of two mpl_toolkits examples.
+* :ghpull:`13198`: Cleanup SkewT example.
+* :ghpull:`11914`: Remove the system_monitor example.
+* :ghpull:`13196`: Deemphasize comment about extremely old Matplotlib versions in example.
+* :ghpull:`13190`: Show returncode when subprocess test fails
+* :ghpull:`13163`: Add explanatory comment to annotation box example
+* :ghpull:`13104`: Remove some more 1-tuples.
+* :ghpull:`13105`: Make GridSpec.update docstring match behavior.
+* :ghpull:`13127`: Deprecate add_subplot(<no positional args>) silently doing nothing.
+* :ghpull:`13166`: Simplify Text.get_usetex.
+* :ghpull:`13188`: Remove an outdated doc point regarding backend selection.
+* :ghpull:`13107`: Cleanup BboxBase docstrings.
+* :ghpull:`13108`: Capitalize some docstrings.
+* :ghpull:`13115`: Check for sphinx_copybutton when building the docs
+* :ghpull:`13151`: Update RadioButtons docs numpydoc style
+* :ghpull:`13178`: Remove :func: markup from mlab docstrings.
+* :ghpull:`7461`: [WIP] add matrix checking function for quiver input
+* :ghpull:`13089`: Ensure that arguments to quiver() are not matrices.
+* :ghpull:`13179`: Avoid calling a deprecated API in axis_artist.
+* :ghpull:`13170`: Don't try to find TeX-only fonts when layouting TeX text.
+* :ghpull:`12957`: Search also for user fonts on Windows (#12954)
+* :ghpull:`12951`: Make Text._get_layout simpler to follow.
+* :ghpull:`11385`: Add a get_zaxis method for 3d axes.
+* :ghpull:`13172`: Hyperlink DOIs to preferred resolver
+* :ghpull:`13171`: Document how to make colorbars "without" a ScalarMappable.
+* :ghpull:`12903`: FIX: (broken)bar(h) math before units
+* :ghpull:`13167`: Typos on subplot comments and example
+* :ghpull:`13005`: Improve error messages for unit conversion
+* :ghpull:`13147`: Extend joinstyle example
+* :ghpull:`13165`: Change doc string for Axes.arrow()
+* :ghpull:`13155`: Let ffmpeg report errors.
+* :ghpull:`13149`: Update errorbar limits example
+* :ghpull:`13074`: Move _windowing extension into _tkagg.
+* :ghpull:`13146`: Remove an outdated comment in backend_wx.
+* :ghpull:`13126`: FIX: minor log ticks overwrite
+* :ghpull:`13148`: Update example Step Demo
+* :ghpull:`13138`: API: Use class-based directive in sphinxext
+* :ghpull:`11894`: add ``cache_frame_data`` kwarg into ``FuncAnimation``. fixes #8528.
+* :ghpull:`13136`: Small cleanups.
+* :ghpull:`13140`: Remove an "cannot show figure in agg" warning in test suite.
+* :ghpull:`13134`: Simplify color conversion backcompat shim.
+* :ghpull:`13141`: Unpin pytest (pytest-cov's latest release is compatible with it).
+* :ghpull:`13133`: Simplify the polys3d example.
+* :ghpull:`12158`: MNT: simplify valid tick logic
+* :ghpull:`9867`: Factor out common code between pdf and ps backends.
+* :ghpull:`10111`: Add set_data_3d and get_data_3d to Line3d
+* :ghpull:`12245`: Remove (some) features deprecated in mpl2.2
+* :ghpull:`13119`: Deprecate TextToPath.glyph_to_path.
+* :ghpull:`13122`: Pin pytest<4.1 to unbreak CI tests
+* :ghpull:`13100`: Restore the font cache on Travis.
+* :ghpull:`12792`: BUG: Ensure that distinct polygon collections are shaded identically
+* :ghpull:`13070`: cairo backend: default to pycairo
+* :ghpull:`13114`: BUG: calculate colorbar boundaries correctly from values
+* :ghpull:`13111`: Delete an unused private method.
+* :ghpull:`10841`: ENH: new date formatter
+* :ghpull:`13093`: Remove unused fontconfig conf file.
+* :ghpull:`13063`: Use default colour cycle in more examples
+* :ghpull:`13103`: Remove tight_bbox_test example.
+* :ghpull:`13097`: Replace 1-tuples by scalars where possible.
+* :ghpull:`13027`: Qt5 reset signals after non-interactive plotting
+* :ghpull:`9787`: Support (first font of) TTC files.
+* :ghpull:`11780`: ENH: Allow arbitrary coordinates for ConnectionPatch
+* :ghpull:`12943`: Update the font_table example.
+* :ghpull:`13091`: Improve MouseEvent str().
+* :ghpull:`13095`: Remove a duplicate attribute setting.
+* :ghpull:`13090`: Cleanup unused non-public imports.
+* :ghpull:`13060`: Move doc-requirements from root folder
+* :ghpull:`13078`: Convert streamplot to numpydoc
+* :ghpull:`13088`: Don't use deprecated np.random.random_integers.
+* :ghpull:`13073`: Drop pytest version check in setupext.py.
+* :ghpull:`12933`: Deprecate backend_pgf.LatexManagerFactory.
+* :ghpull:`12969`: Clarify the implementation of _process_plot_var_args.
+* :ghpull:`12472`: Make FontManager.defaultFont a property, to avoid hardcoding the prefix.
+* :ghpull:`11806`: Allow to not draw the labels on pie chart
+* :ghpull:`11983`: Simplify version checks for freetype and libpng.
+* :ghpull:`13050`: FIX: always eraseRect in Qt widget
+* :ghpull:`13065`: FIX: print out the correct ip address when starting webagg
+* :ghpull:`13061`: Make examples that load msft.csv robust against locale changes.
+* :ghpull:`13042`: cairo: remove the append_path() fast path
+* :ghpull:`13058`: pathlibify/cleanup triage_tests.py.
+* :ghpull:`12995`: Don't split creation of deprecation message and choice of warning class.
+* :ghpull:`12998`: Init MaxNLocator params only once
+* :ghpull:`11691`: Make Figure.frameon a thin wrapper for the patch visibility.
+* :ghpull:`11735`: Change {FigureCanvasAgg,RendererAgg}.buffer_rgba to return a memoryview.
+* :ghpull:`12831`: Reuse scale from sharing axis when calling cla().
+* :ghpull:`12962`: Deprecate setting the same property under two different aliases.
+* :ghpull:`12973`: Fix item check for pandas Series
+* :ghpull:`13049`: Add boxplot.flierprops.markeredgewidth rcParam
+* :ghpull:`13048`: Fix section names for numpydoc
+* :ghpull:`10928`: Simplify (quite a bit...) _preprocess_data
+* :ghpull:`13039`: Speed up Path.iter_segments()
+* :ghpull:`12992`: Adding rcParams[‘scatter.edgecolors’] defaulting to ‘face’
+* :ghpull:`13014`: Drop pgi support for the GTK3 backend
+* :ghpull:`12215`: Cleanup initialization in text()
+* :ghpull:`13029`: Fix vertical alignment of text
+* :ghpull:`12968`: Simpler and stricter process_plot_format.
+* :ghpull:`12989`: Avoid spamming tests with warnings re: deprecation of pprint_val.
+* :ghpull:`13032`: fix typo in docstring in ``axis_artist.py``
+* :ghpull:`13025`: MNT: add one more alias for tacaswell to mailmap
+* :ghpull:`13010`: Fix a format error in documenting_mpl.rst
+* :ghpull:`12997`: Add sphinx-copybutton to docs
+* :ghpull:`12422`: Scatter color: moving #10809 forward
+* :ghpull:`12999`: Format MaxNLocator with numpydoc
+* :ghpull:`12991`: Canonicalize weights extracted for AFM fonts.
+* :ghpull:`12955`: Cleanup cursor_demo.
+* :ghpull:`12984`: Cleanup GTK examples.
+* :ghpull:`12986`: Minor cleanup to double_pendulum example.
+* :ghpull:`12959`: Update the documentation of Cursor
+* :ghpull:`12945`: Correctly get weight & style hints from certain newer Microsoft fonts
+* :ghpull:`12976`: ENH: replace deprecated numpy header
+* :ghpull:`12975`: Fail-fast when trying to run tests with too-old pytest.
+* :ghpull:`12970`: Minor simplifications.
+* :ghpull:`12974`: Remove some checks for Py<3.6 in the test suite.
+* :ghpull:`12779`: Include scatter plots in Qt figure options editor.
+* :ghpull:`12459`: Improve formatting of imshow() cursor data when a colorbar exists.
+* :ghpull:`12927`: MAINT: Correctly handle empty lists in zip unpacking in mplot3d.art3d
+* :ghpull:`12919`: Suppress deprecation warning when testing drawstyle conflict
+* :ghpull:`12956`: Misc. cleanups.
+* :ghpull:`12924`: Deprecate public use of Formatter.pprint_val.
+* :ghpull:`12947`: Support ~ as nonbreaking space in mathtext.
+* :ghpull:`12944`: Fix the title of testing_api
+* :ghpull:`12136`: MAINT: Unify calculation of normal vectors from polygons
+* :ghpull:`12880`: More table documentation
+* :ghpull:`12940`: Avoid pyplot in showcase examples.
+* :ghpull:`12935`: os.PathLike exists on all supported Pythons now.
+* :ghpull:`12936`: Minor updates following bump to Py3.6+.
+* :ghpull:`12932`: Simplify argument checking in Table.__getitem__.
+* :ghpull:`12930`: Shorten an argument check.
+* :ghpull:`12538`: MNT: drop 3.5 testing for 3.1 branch
+* :ghpull:`12868`: Simplify use of Path._fast_from_codes_and_verts.
+* :ghpull:`12300`: API: Polar: allow flipped y/rlims....
+* :ghpull:`12861`: Don't use deprecated wx.NewId().
+* :ghpull:`12908`: Allow all valid hist.bins strings to be set in the rcparams
+* :ghpull:`12902`: Kill dead code in textpath.
+* :ghpull:`12885`: Improve margins in formlayout
+* :ghpull:`12877`: fooImage -> foo_image in testing/compare.py
+* :ghpull:`12845`: Deprecate silent dropping of unknown arguments to TextPath().
+* :ghpull:`12852`: Cleanup collections docs.
+* :ghpull:`12888`: Properly enable forward/backward buttons on GTK3
+* :ghpull:`12865`: Avoid 1-tick or 0-tick log-scaled axis.
+* :ghpull:`12844`: Remove unused, private _process_text_args.
+* :ghpull:`12881`: Fix string comparison
+* :ghpull:`12863`: FIX: translate timedeltas in _to_ordinalf
+* :ghpull:`12640`: Introduce MouseButton enum for MouseEvent.
+* :ghpull:`12897`: Reword a bit the contour docs.
+* :ghpull:`12898`: Validate rcParams["image.origin"].
+* :ghpull:`12882`: Write error messages to logger instead of stderr
+* :ghpull:`12889`: Deprecate public access to the vendored formlayout module.
+* :ghpull:`12891`: Add Azure Pipelines build badge
+* :ghpull:`12883`: MAINT Use list comprehension
+* :ghpull:`12886`: Properly enable forward/backward buttons on Qt
+* :ghpull:`12858`: Bump oldest supported numpy to 1.11.
+* :ghpull:`12876`: Fix a typo
+* :ghpull:`12739`: make Axes._parse_scatter_color_args static
+* :ghpull:`12846`: Deprecate Path.has_nonfinite.
+* :ghpull:`12829`: Remove unused variables
+* :ghpull:`12872`: Inline references to RendererPS in backend_ps.
+* :ghpull:`12800`: documenting dtype of hist counts
+* :ghpull:`12842`: Fix message in nbagg connection_info()
+* :ghpull:`12855`: Cleanup axes/_base.py.
+* :ghpull:`12826`: Minor code cleanup
+* :ghpull:`12866`: Simplify stride calculations in loglocator.
+* :ghpull:`12867`: Drop compat code for outdated MSVC.
+* :ghpull:`12218`: Improve table docs
+* :ghpull:`12847`: correctly format ticklabels when EngFormatter is used with usetex = True
+* :ghpull:`12851`: Keep Collections and Patches property aliases in sync.
+* :ghpull:`12849`: Update docstrings in path.py, and small cleanups.
+* :ghpull:`12805`: Don't insert spurious newlines by joining tex.preamble.
+* :ghpull:`12827`: Remove unused imports
+* :ghpull:`12560`: Add matplotlib.testing to the documentation
+* :ghpull:`12821`: MNT: remove debug from update_title_pos
+* :ghpull:`12764`: Cleanup Renderer/GraphicsContext docs.
+* :ghpull:`12759`: Warn on FreeType missing glyphs.
+* :ghpull:`12799`: Reword some colorbar docs.
+* :ghpull:`12633`: Added support for MacOSX backend for PyPy
+* :ghpull:`12798`: Replace assignments to array.shape by calls to reshape().
+* :ghpull:`11851`: Simpler check for whether a Framework Python build is being used.
+* :ghpull:`12259`: BUG: Fix face orientations of bar3d
+* :ghpull:`12565`: Make FontManager.score_weight less lenient.
+* :ghpull:`12674`: Allow "real" LaTeX code for pgf.preamble in matplotlibrc
+* :ghpull:`12770`: Simplify implementation of FontProperties.copy().
+* :ghpull:`12753`: MNT: remove _hold shims to support basemap + cartopy
+* :ghpull:`12450`: Attach a FigureCanvasBase by default to Figures.
+* :ghpull:`12643`: Allow unit input to FancyArrowPatch
+* :ghpull:`12767`: Make colorbars constructible with dataless ScalarMappables.
+* :ghpull:`12526`: Rename jquery files
+* :ghpull:`12552`: Update docs for writing image comparison tests.
+* :ghpull:`12746`: Use skipif, not xfail, for uncomparable image formats.
+* :ghpull:`12747`: Prefer log.warning("%s", ...) to log.warning("%s" % ...).
+* :ghpull:`11753`: FIX: Apply aspect before drawing starts
+* :ghpull:`12749`: Move toolmanager warning from logging to warning.
+* :ghpull:`12598`: Support Cn colors with n>=10.
+* :ghpull:`12727`: Reorder API docs: separate file per module
+* :ghpull:`12738`: Add unobtrusive depreaction note to the first line of the docstring.
+* :ghpull:`11663`: Refactor color parsing of Axes.scatter
+* :ghpull:`12736`: Move deprecation note to end of docstring
+* :ghpull:`12704`: Rename tkinter import from Tk to tk.
+* :ghpull:`12715`: Cleanup dviread.
+* :ghpull:`12717`: Delete some ``if __name__ == "__main__"`` clauses.
+* :ghpull:`10575`: FIX patch.update_from to also copy _original_edge/facecolor
+* :ghpull:`12537`: Improve error message on failing test_pyplot_up_to_date
+* :ghpull:`12721`: Make get_scale_docs() internal
+* :ghpull:`12706`: Extend sphinx Makefile to cleanup completely
+* :ghpull:`12481`: Warn if plot_surface Z values contain NaN
+* :ghpull:`12685`: Make ticks in demo_axes_rgb.py visible
+* :ghpull:`12523`: Run flake8 before pytest on travis
+* :ghpull:`12691`: DOC: Link to "How to make a PR" tutorials as badge and in contributing
+* :ghpull:`11974`: Make code match comment in sankey.
+* :ghpull:`12440`: Make arguments to @deprecated/warn_deprecated keyword-only.
+* :ghpull:`12470`: Update AutoDateFormatter with locator
+* :ghpull:`12586`: Improve linestyles example
+* :ghpull:`12006`: Replace warnings.warn with cbook._warn_external or logging.warning
+* :ghpull:`12659`: Add note that developer discussions are private
+* :ghpull:`12543`: Make rcsetup.py flak8 compliant
+* :ghpull:`12642`: Don't silence TypeErrors in fmt_{x,y}data.
+* :ghpull:`12442`: Deprecate passing drawstyle with linestyle as single string.
+* :ghpull:`12625`: Shorten some docstrings.
+* :ghpull:`12627`: Be a bit more stringent on invalid inputs.
+* :ghpull:`12629`: Fix issue with PyPy on macOS
+* :ghpull:`10933`: Remove "experimental" fontconfig font_manager backend.
+* :ghpull:`12600`: Minor style fixes.
+* :ghpull:`12570`: Fix mathtext tutorial for build with Sphinx 1.8.
+* :ghpull:`12487`: Update docs/tests for the deprecation of aname and label1On/label2On/etc.
+* :ghpull:`12521`: Improve docstring of draw_idle()
+* :ghpull:`12574`: Remove some unused imports
+* :ghpull:`12568`: Add note regarding builds of old Matplotlibs.
+* :ghpull:`12547`: Disable sticky edge accumulation if no autoscaling.
+* :ghpull:`12546`: Avoid quadratic behavior when accumulating stickies.
+* :ghpull:`11789`: endless looping GIFs with PillowWriter
+* :ghpull:`12525`: Fix some flake8 issues
+* :ghpull:`12516`: Don't handle impossible values for ``align`` in hist()
+* :ghpull:`12500`: Adjust the widths of the messages during the build.
+* :ghpull:`12492`: Simplify radar_chart example.
+* :ghpull:`11984`: Strip out pkg-config machinery for agg and libqhull.
+* :ghpull:`12463`: Document Artist.cursor_data() parameter
+* :ghpull:`12482`: Test slider orientation
+* :ghpull:`12317`: Always install mpl_toolkits.
+* :ghpull:`12246`: Be less tolerant of broken installs.
+* :ghpull:`12477`: Use \N{MICRO SIGN} instead of \N{GREEK SMALL LETTER MU} in EngFormatter.
+* :ghpull:`12483`: Kill FontManager.update_fonts.
+* :ghpull:`12474`: Throw ValueError when irregularly gridded data is passed to streamplot.
+* :ghpull:`12466`: np.fromstring -> np.frombuffer.
+* :ghpull:`12369`: Improved exception handling on animation failure
+* :ghpull:`12460`: Deprecate RendererBase.strip_math.
+* :ghpull:`12453`: Rollback erroneous commit to whats_new.rst from #10746
+* :ghpull:`12452`: Minor updates to the FAQ.
+* :ghpull:`10746`: Adjusted matplotlib.widgets.Slider to have optional vertical orientatation
+* :ghpull:`12441`: Get rid of a signed-compare warning.
+* :ghpull:`12430`: Deprecate Axes3D.plot_surface(shade=None)
+* :ghpull:`12435`: Fix numpydoc parameter formatting
+* :ghpull:`12434`: Clarify documentation for textprops keyword parameter of TextArea
+* :ghpull:`12427`: Document Artist.get_cursor_data
+* :ghpull:`10322`: Use np.hypot wherever possible.
+* :ghpull:`10809`: Fix for scatter not showing points with valid x/y but invalid color
+* :ghpull:`12423`: Minor simplifications to backend_svg.
+* :ghpull:`10356`: fix detecting which artist(s) the mouse is over
+* :ghpull:`10268`: Dvi caching
+* :ghpull:`10238`: Call kpsewhich with more arguments at one time
+* :ghpull:`10236`: Cache kpsewhich results persistently
+* :ghpull:`4675`: Deprecate color keyword argument in scatter
+* :ghpull:`5054`: Diverging norm
+* :ghpull:`12416`: Move font cache rebuild out of exception handler
+* :ghpull:`4762`: Traitlets
+* :ghpull:`5414`: WIP: New FreeType wrappers
+* :ghpull:`3875`: ENH: passing colors (and other optional keyword arguments) to violinplot()
+* :ghpull:`1959`: PS backend optionally jpeg-compresses the embedded images
+* :ghpull:`11891`: Group some print()s in backend_ps.
+* :ghpull:`12165`: Remove deprecated mlab code
+* :ghpull:`12387`: Update HTML animation as slider is dragged
+* :ghpull:`12333`: ENH: add colorbar method to axes
+* :ghpull:`10088`: Deprecate Tick.{gridOn,tick1On,label1On,...} in favor of set_visible.
+* :ghpull:`12393`: Deprecate to-days converters in matplotlib dates
+* :ghpull:`11232`: FIX: fix figure.set_dpi when pixel ratio not 1
+* :ghpull:`12247`: Machinery for deprecating properties.
+* :ghpull:`12371`: Move check for ImageMagick Windows path to bin_path().
+* :ghpull:`12384`: Cleanup axislines style.
+* :ghpull:`9565`: Stem performance boost
+* :ghpull:`12368`: Don't use stdlib private API in animation.py.
+* :ghpull:`12351`: dviread: find_tex_file: Ensure the encoding on windows
+* :ghpull:`12372`: Remove two examples.
+* :ghpull:`12356`: Fix stripping of CRLF on Windows.
+* :ghpull:`12283`: FIX: errorbar xywhere should return ndarray
+* :ghpull:`12304`: TST: Merge Qt tests into one file.
+* :ghpull:`12340`: Catch test deprecation warnings for mlab.demean
+* :ghpull:`12296`: Make FooConverter inherit from ConversionInterface in examples
+* :ghpull:`12309`: Deduplicate implementations of FooNorm.autoscale{,_None}
+* :ghpull:`7716`: [NF] Add 'truncate' and 'join' methods to colormaps.
+* :ghpull:`12314`: Deprecate ``axis('normal')`` in favor of ``axis('auto')``.
+* :ghpull:`12307`: Clarify missing-property error message.
+* :ghpull:`12260`: Fix docs : change from issue #12191, remove "if 1:" blocks in examples
+* :ghpull:`12253`: Handle utf-8 output by kpathsea on Windows.
+* :ghpull:`12292`: TST: Modify the bar3d test to show three more angles
+* :ghpull:`12284`: Don't try to autoscale if no data present to autoscale to
+* :ghpull:`12255`: Deduplicate inherited docstrings.
+* :ghpull:`12222`: Remove extraneous if 1 statements in demo_axisline_style.py
+* :ghpull:`12137`:  MAINT: Vectorize bar3d
+* :ghpull:`12219`: Merge OSXInstalledFonts into findSystemFonts.
+* :ghpull:`12229`: Less ACCEPTS, more numpydoc.
+* :ghpull:`11621`: TST: make E402 a universal flake8 ignore
+* :ghpull:`12231`: CI: Speed up Appveyor repository cloning
+* :ghpull:`11661`: Update blocking_input.py
+* :ghpull:`12199`: Allow disabling specific mouse actions in blocking_input
+* :ghpull:`12210`: Axes.tick_params() argument checking
+* :ghpull:`12211`: Fix typo
+* :ghpull:`12200`: Slightly clarify some invalid shape exceptions for image data.
+* :ghpull:`12151`: Don't pretend @deprecated applies to classmethods.
+* :ghpull:`12190`: Remove some unused variables and imports
+* :ghpull:`12192`: Exclude examples from lgtm analysis
+* :ghpull:`12196`: Give Carreau the ability to mention the backport bot.
+* :ghpull:`12171`: Remove internal warning due to zsort deprecation
+* :ghpull:`12030`: Speed up canvas redraw for GTK3Agg backend.
+* :ghpull:`12156`: Cleanup the GridSpec demos.
+* :ghpull:`12144`: Add explicit getters and setters for Annotation.anncoords.
+* :ghpull:`12152`: Use _warn_external for deprecations warnings.
+* :ghpull:`12147`: DOC: update the gh_stats code
+* :ghpull:`12139`: Unbreak build re: mplot3d style.
+* :ghpull:`11367`: Raise TypeError on unsupported kwargs of spy()
+* :ghpull:`9990`: Fix and document lightsource argument in mplot3d
+* :ghpull:`12124`: Correctly infer units from empty arrays
+* :ghpull:`11994`: Cleanup unused variables and imports
+* :ghpull:`12122`: MNT: re-add cbook import art3d
+* :ghpull:`12086`: FIX: make MaxNLocator only follow visible ticks for order of magnitude
+* :ghpull:`12032`: Remove unused imports
+* :ghpull:`12093`: Correct the removal of -Wstrict-prototypes from compiler flags.
+* :ghpull:`12069`: Style fixes for mplot3d.
+* :ghpull:`11997`: Cleanup some axes_grid1 examples
+* :ghpull:`12098`: Improve layout of HTML animation
+* :ghpull:`12094`: Fine-tune logging notes in contributing.rst.
+* :ghpull:`12079`: Clarifications to **im_show()** doc regarding *interpolation='none'*.
+* :ghpull:`12068`: More style fixes.
+* :ghpull:`11499`: FIX: layout for mixed descent multiline text objects
+* :ghpull:`11921`: FIX: allow reshape 2-D to return a bare 1-d list
+* :ghpull:`12070`: Avoid some uses of np.isscalar.
+* :ghpull:`12067`: DOC: make Line2D docstring definition easier to find
+* :ghpull:`12054`: More style fixes.
+* :ghpull:`12066`: fix indentation in docstring interpolation for spy.
+* :ghpull:`11931`: Remove separate autosummary_inher template.
+* :ghpull:`12049`: Make Poly3DCollection.set_zsort less lenient.
+* :ghpull:`12050`: Various cleanups.
+* :ghpull:`12038`: Modernize ArtistInspector a bit...
+* :ghpull:`12033`: DOC: formatting fixes to mplot3d
+* :ghpull:`12051`: Is bool
+* :ghpull:`12045`:  Fix 999.9... edge case in ticker.EngFormatter for negative numbers
+* :ghpull:`12044`: Update doc on the *progressive* and *optimize* keywords in savefig
+* :ghpull:`12061`: Small refactor/simplification.
+* :ghpull:`12060`: INSTALL.rst fixes
+* :ghpull:`12055`: Fix invalid escape in docstring.
+* :ghpull:`12026`: whitespace(-mostly) style cleanup.
+* :ghpull:`12043`: Deprecate get_py2exe_datafiles.
+* :ghpull:`12046`: Make HTMLWriter constructor a bit more strict.
+* :ghpull:`12034`: Doc markup fixes.
+* :ghpull:`11972`: FIX: close mem leak for repeated draw
+* :ghpull:`12024`: Fix typos
+* :ghpull:`11996`: Minor javascript cleanup
+* :ghpull:`11989`: Remove support for ghostscript 8.60.
+* :ghpull:`12004`: Update acorr and xcorr docs to match numpy docs
+* :ghpull:`11998`: No clf() needed after creating a figure
+* :ghpull:`12001`: Do not use an explicit figum in plt.figure(1, ...) in simple cases
+* :ghpull:`11999`: Do not use an explicit fignum plt.figure(1) in simple cases
+* :ghpull:`11995`: Don't use bare except statements
+* :ghpull:`11993`: DOC: fixed typos
+* :ghpull:`11992`: Use pytest.warns instead of home-baked warnings capture.
+* :ghpull:`11975`: Derive plt.figlegend.__doc__ from Figure.legend.__doc__.
+* :ghpull:`11980`: Remove __version__numpy__; simplify dependencies check.
+* :ghpull:`11982`: Remove and old keyword documentation.
+* :ghpull:`11981`: Some extra typos
+* :ghpull:`11979`: Fix a couple of typos.
+* :ghpull:`11959`: cbook.iterable -> np.iterable.
+* :ghpull:`11965`: Move the removal of the -Wstrict-prototypes flag to setup.py.
+* :ghpull:`11958`: Remove unused code
+* :ghpull:`11960`: Make jpl_units a bit less painful to read.
+* :ghpull:`11951`: Improve Artist docstrings
+* :ghpull:`11954`: No need to define _log twice in matplotlib.dates.
+* :ghpull:`11948`: Minor fixes to docs and gitignore.
+* :ghpull:`11777`: Avoid incorrect warning in savefig
+* :ghpull:`11942`: Deprecate Artist.aname and Axes.aname
+* :ghpull:`11935`: Remove ginput demo example
+* :ghpull:`11939`: Improve alias signatures
+* :ghpull:`11940`: Do not use aliases of properties in internal code
+* :ghpull:`11941`: Fix test_large_subscript_title()
+* :ghpull:`11938`: More docstring cleanup of Line2D.
+* :ghpull:`11920`: Add LGTM.com code quality badge
+* :ghpull:`11922`: Improve docstrings of Line2D
+* :ghpull:`11924`: Minor formatting update on alias docstrings
+* :ghpull:`11926`: Minor fix to ginput_demo.
+* :ghpull:`11912`: BLD: update PR template for flake8
+* :ghpull:`11909`: Simplify linestyle and fillstyle reference docs.
+* :ghpull:`11502`: FIX: move title(s) up if subscripts hang too low.
+* :ghpull:`11906`: fix format of bar_of_pie example
+* :ghpull:`11741`:  Factor out common code between Patch.draw and FancyArrowPatch.draw.
+* :ghpull:`11784`: Argument checking for grid()
+* :ghpull:`11888`: Factor out a subprocess log-and-check helper.
+* :ghpull:`11740`: Deprecate support for 3rd-party backends without set_hatch_color.
+* :ghpull:`11884`: Deprecate the tk_window_focus function.
+* :ghpull:`11689`: Don't cache the renderer on the Axes instance.
+* :ghpull:`11698`: For property, use decorator or lambdas.
+* :ghpull:`11872`: Make all builtin cmaps picklable.
+* :ghpull:`11870`: More style fixes.
+* :ghpull:`11873`: Remove mention of deprecated/removed methods from mlab's docstring.
+* :ghpull:`11869`: Style fixes.
+* :ghpull:`11874`: Remove some remnants of Py2-handling in test_rcparams.
+* :ghpull:`11865`: example file for making a bar of pie chart
+* :ghpull:`11868`: mathtext.py style fixes.
+* :ghpull:`11854`: Accept anything that's not a directory for $MATPLOTLIBRC.
+* :ghpull:`11589`: WIP ENH secondary axes:
+* :ghpull:`8449`: Including Additional Metadata using the SVG Backend
+* :ghpull:`11465`: ENH: optimize Collection non-affine transform to call transform once
+
+Issues (161):
+
+* :ghissue:`4001`: Qt5 Backend: dblclick is always False on 'mouse_release_event'
+* :ghissue:`14152`: qt_compat.py performing wrong test for PyQt5
+* :ghissue:`10875`: Annotation.contains and FancyArrow.contains return incorrect values
+* :ghissue:`458`: JPG quality keyword in savefig
+* :ghissue:`4354`: scatter not showing valid x/y points with invalid color
+* :ghissue:`14113`: scatter could not raise when colors are provided but position data are empty
+* :ghissue:`14003`: numpydoc 0.9 breaks doc build
+* :ghissue:`14054`: ticks sometimes disappear when zooming interactively
+* :ghissue:`10189`: The data decorator does not integrate well with numpydoc
+* :ghissue:`14034`: pyplot plot raises ValueError when plotting NaN against datetime dates
+* :ghissue:`14039`: bar plot yerr lines/caps should respect zorder
+* :ghissue:`14042`: dynamic_image.py + saving animation broken
+* :ghissue:`14013`: osx backend not usable with ipython/jupyter from conda?
+* :ghissue:`13993`: Tests files installed by default?
+* :ghissue:`13991`: MaxNLocator.default_params deprecation may break Cartopy
+* :ghissue:`5045`: Axes.grid() not honoring specified "zorder" kwarg
+* :ghissue:`4371`: LaTeX and PGF preambles do not allow commas
+* :ghissue:`13982`: hist() no longer respects range=... when density=True
+* :ghissue:`13963`: Dataless colorbars break when updated
+* :ghissue:`10381`: Issue when setting scatter color in separate method call
+* :ghissue:`13618`: Minor ticklabels are missing at positions of major ticks.
+* :ghissue:`13880`: Adding documentation for Text.fontfamily default, set_fontfamily(None)?
+* :ghissue:`13865`: Appveyor broken
+* :ghissue:`8636`: plt.hist chooses improper range when using string-based bin options
+* :ghissue:`7300`: weird mathtext doc markup
+* :ghissue:`8862`: Replace \mathcircled by \textcircled
+* :ghissue:`13759`: DOC: matplotlib.patches.Arc
+* :ghissue:`13785`: Imshow gives values out of the extent
+* :ghissue:`13786`: Cannot import matplotlib.animation
+* :ghissue:`13561`: Progress of animation.save (for long animations)
+* :ghissue:`13735`: title doesn't move for ticklables....
+* :ghissue:`12175`: Example link near markevery in the "What's new in 3.0" page is malformed/broken
+* :ghissue:`13713`: Boxplot xlim not correctly calculated
+* :ghissue:`11070`: Add a "density" kwarg to hist2d
+* :ghissue:`11337`: Cannot plot fully masked array against datetimes
+* :ghissue:`10165`: Adapt stem plot
+* :ghissue:`10976`: ENH: secondary axis for a x or y scale.
+* :ghissue:`10763`: Cairo in 2.2.0 not working for new backends
+* :ghissue:`9737`: setupext should not explicitly add /usr/{,local/}include to the include path
+* :ghissue:`11217`: Crash on zero-length FancyArrow
+* :ghissue:`13623`: do not cause warning in seaborn
+* :ghissue:`13480`: Segfault on help('modules') command when matplotlib is installed
+* :ghissue:`13604`: legend's framealpha kwarg does not apply when writing to an eps file
+* :ghissue:`12311`: 'off' vs. False bug
+* :ghissue:`10237`: Setting an alpha value to a Poly3DCollection
+* :ghissue:`11781`: fill_between interpolation & nan issue
+* :ghissue:`1077`: 3d plots with aspect='equal'
+* :ghissue:`11761`: Still naming inconsistency in API on axes limits
+* :ghissue:`11623`: Regression: "TypeError: Period('2000-12-31', 'D') is not a string" when a Series with date index was plotted
+* :ghissue:`12655`: auto-ticks do not handle values near bounds gracefully
+* :ghissue:`13487`: labelpad is not the spacing between the axis and the label
+* :ghissue:`13540`: Docs for matplotlib.pyplot.specgram() reference an unsupported mode setting
+* :ghissue:`8997`: Proposal: Grid arrangement by number of plots
+* :ghissue:`6928`: Cannot run ``setup.py build`` with numpy master
+* :ghissue:`12697`: Axes are drawn at wrong positions
+* :ghissue:`13478`: FuncAnimation:  interactive zoom/pan with blitting does not work
+* :ghissue:`11575`: Setting axis ticks in log scale produces duplicate tick labels.
+* :ghissue:`13464`: set_rlim(bottom=...) no longer works
+* :ghissue:`12628`: Write canonical example of how to use Matplotlib inside a webserver
+* :ghissue:`10022`: boxplot: positions used to take Int64Index
+* :ghissue:`11647`: Disable buttons in ginput
+* :ghissue:`12987`: issues parsing AFM fonts
+* :ghissue:`12667`: Colorbar ticks....
+* :ghissue:`13137`: Travis for Python 3.7 sometimes fails due to missing font
+* :ghissue:`7969`: Stem is slow and will crash if I try to close the window
+* :ghissue:`13002`: Hist color kwarg broken for multiple empty datasets
+* :ghissue:`5581`: [mpl_toolkits] Things drawn on parasite axes don't fire pick events
+* :ghissue:`13417`: Secondary axis doesn't resize properly
+* :ghissue:`8120`: Inconsistent inset_axes position between show(), savefig(format='png') and savefig(format='pdf')
+* :ghissue:`8947`: Different result, slower runtime of heatmap between 2.0.0 and 2.0.1
+* :ghissue:`13264`: Use of logging in matplotlib
+* :ghissue:`11602`: animation error
+* :ghissue:`12925`: Python pandas datetime plot xticks in unexpected location
+* :ghissue:`11025`: AxesGrid ticks missing on x-axis
+* :ghissue:`10974`: Examples not shown in API docs for many methods.
+* :ghissue:`13392`: boxplot broken for empty inputs
+* :ghissue:`12345`: Need more tests for units and errorbar
+* :ghissue:`10361`: FigureCanvas.draw() with tight_layout () needs to be called twice with Matplotlib 2.1.0
+* :ghissue:`11376`: Temporary styling ignores color cycle
+* :ghissue:`11546`: import time
+* :ghissue:`13286`: AttributeError: 'float' object has no attribute 'deg2rad'
+* :ghissue:`11508`: bi-directional perceptually flat colormaps in matplotlib?
+* :ghissue:`12918`: Mac shows an icon in the dock when using matplotlib.pyplot.
+* :ghissue:`13339`: Log Colorbar minorticks_off reverted if ticks set...
+* :ghissue:`13228`: MPL 3 + Colorbar + PowerNorm bug
+* :ghissue:`13096`: Matplotlib.get_backend()/matplotlib.use() cause NSException with Anaconda
+* :ghissue:`7712`: Number of ticks for dates still gives overlapping labels
+* :ghissue:`9978`: General poor default formatting of datetimes on plot x-axis
+* :ghissue:`13253`: imsave outputs JPEG with wrong dimension
+* :ghissue:`11391`: Use data argument for scatter plotting timestamps from pandas
+* :ghissue:`13145`: widgets.RadioButtons: select by closest in position
+* :ghissue:`13267`: "double-pendulum" example's speed not correct / varying
+* :ghissue:`13257`: Allow turning off minorticks for Colorbar with LogNorm?
+* :ghissue:`13237`: Sankey basic gallery example is not rendered properly.
+* :ghissue:`12836`: matplotlib.rc_file resets to default template before updating rcparams
+* :ghissue:`13186`: ax.bar throws when x axis is pandas datetime
+* :ghissue:`5397`: Expose compression and filter PNG options through savefig
+* :ghissue:`13142`: Cannot plot bar graph with dates: "TypeError: ufunc subtract cannot use operands with types dtype('<M8[ns]') and dtype('float64')"
+* :ghissue:`8530`: Feature request: TIFF LZW compression support in savefig()
+* :ghissue:`13139`: font family ['serif'] not found. Falling back to DejaVu Sans
+* :ghissue:`1558`: Graceful handling of a numpy matrix
+* :ghissue:`12954`: Fonts installed in the user directory are not detected (Windows 1809)
+* :ghissue:`3644`: Feature Request: manually set colorbar without mappable
+* :ghissue:`12862`: broken_barh appears not to work with datetime/timedelta objects
+* :ghissue:`11290`: ax.bar doesn't work correctly when width is a timedelta64 object
+* :ghissue:`13156`: DOC: matplotlib.pyplot.arrow
+* :ghissue:`12990`: Unclear error message for ``plt.xticks(names)``
+* :ghissue:`12769`: Failing to save an animated graph with matplotlib.animation
+* :ghissue:`13112`: LogNorm colorbar prints double tick labels after set_ticks()
+* :ghissue:`13132`: BUG: matplotlib.sphinxext.plot_directive uses old function-based API
+* :ghissue:`8528`: Funcanimation memory leak?
+* :ghissue:`8914`: line3D set_data only takes in x and y data
+* :ghissue:`8768`: One one tick in a log-scale axis
+* :ghissue:`13121`: Tests fail with pytest 4.1
+* :ghissue:`13098`: Likely incorrect code(?) in colorbar.py
+* :ghissue:`12562`: Clean up unused imports
+* :ghissue:`12106`: plt.plot does not plot anything with named arguments
+* :ghissue:`5145`: Python [Error 17]No usable Temporary file name found
+* :ghissue:`13012`: qt5agg image quality changes when window is out of focus
+* :ghissue:`13055`: 127.0.0.1 hardcoded in webagg backend server
+* :ghissue:`12971`: Pandas Series not supported as data kwarg
+* :ghissue:`13022`: boxplot not showing symbols with seaborn style sheet
+* :ghissue:`13028`: Bad rotation_mode/center_baseline combination even if rotation=0
+* :ghissue:`12745`: Sphinx copy button for code block
+* :ghissue:`12801`: scatter() should not drop data points at nonfinite coordinates
+* :ghissue:`12358`: Dropping support for Py3.5 and numpy 1.10
+* :ghissue:`12994`: Axes range with set_xticks with categoricals
+* :ghissue:`12993`: Semantics of set_xticks for categoricals
+* :ghissue:`12946`: ~ in mathrm leads to Unknown symbol: \mathrm
+* :ghissue:`10704`: Add documentation for set_rlim
+* :ghissue:`11202`: Using of ax.set_ylim() for polar plot leads to "posx and posy should be finite values" error
+* :ghissue:`12859`: DeprecationWarning: NewId() is deprecated in wxPython.
+* :ghissue:`12817`: Multiple places where Type Errors on cbook.warn_deprecated will happen
+* :ghissue:`12308`: #12253 FIX: Handle utf-8 output by kpathsea on Windows -- possibly causing issues
+* :ghissue:`12804`: Usetex produces preamble with one character per line
+* :ghissue:`12808`: Issue with minor tick spacing in colorbar with custom Normalize class
+* :ghissue:`12138`: Faces of Axes3d.bar3d are not oriented correctly
+* :ghissue:`12591`: Adding FancyArrowPatch with datetime coordinates fails
+* :ghissue:`11139`: "make clean" doesn't remove all the build doc files
+* :ghissue:`11908`: Improve linestyle documentation
+* :ghissue:`10643`: Most warnings calls do not set the stacklevel
+* :ghissue:`12532`: Incorrect rendering of math symbols
+* :ghissue:`11787`: Looping gifs with PillowWriter
+* :ghissue:`9205`: after the animation encoder (e.g. ffmpeg) fails, the animation framework itself fails internally in various ways while trying to report the error
+* :ghissue:`11154`: Unexpected behavior for Axes3D.plot_surface(shade=None)
+* :ghissue:`12121`: Documentation of TextArea's fontprops keyword argument is misleading
+* :ghissue:`12191`: "if 1:" blocks in examples
+* :ghissue:`12107`: warnings re: deprecated pytest API with pytest 3.8
+* :ghissue:`12010`: Popover over plot is very slow
+* :ghissue:`12118`: Scatter: empty np.arrays with non-numeric dtypes cause TypeError
+* :ghissue:`12072`: ``MaxNLocator`` changes the scientific notation exponent with different number of tick labels
+* :ghissue:`11795`: Un-align animations created with to_jshtml()?
+* :ghissue:`10201`: Available fonts are ignored by font_manager
+* :ghissue:`12065`: Keyword *interpolation* behaving improperly while saving to SVG with **savefig()**
+* :ghissue:`11498`: Test layout with big descenders and multiple lines inconsistent.
+* :ghissue:`11468`: Layout managers have problems with titles containing MathText
+* :ghissue:`11899`: Histogram of list of datetimes
+* :ghissue:`11956`: apparent memory leak with live plotting
+* :ghissue:`11587`: Missing filled contours when using contourf
+* :ghissue:`11716`: errorbar pickling fails when specifying y error bars
+* :ghissue:`11557`: Hoping add a drawing function 'patch'  in matplotlib
diff --git a/doc/users/prev_whats_new/github_stats_3.1.1.rst b/doc/users/prev_whats_new/github_stats_3.1.1.rst
new file mode 100644
index 000000000000..3e552c371c55
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.1.1.rst
@@ -0,0 +1,202 @@
+.. _github-stats-3-1-1:
+
+GitHub statistics for 3.1.1 (Jul 02, 2019)
+==========================================
+
+GitHub statistics for 2019/05/18 (tag: v3.1.0) - 2019/07/02
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 30 issues and merged 120 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/46?closed=1>`__
+
+The following 30 authors contributed 323 commits.
+
+* Adam Gomaa
+* Antony Lee
+* Ben Root
+* Christer Jensen
+* chuanzhu xu
+* David Stansby
+* Deng Tian
+* djdt
+* Dora Fraeman Caswell
+* Elan Ernest
+* Elliott Sales de Andrade
+* Eric Firing
+* Filipe Fernandes
+* Ian Thomas
+* ImportanceOfBeingErnest
+* Jody Klymak
+* Johannes H. Jensen
+* Jonas Camillus Jeppesen
+* LeiSurrre
+* Matt Adamson
+* MeeseeksMachine
+* Molly Rossow
+* Nathan Goldbaum
+* Nelle Varoquaux
+* Paul Ivanov
+* RoryIAngus
+* Ryan May
+* Thomas A Caswell
+* Thomas Robitaille
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (120):
+
+* :ghpull:`14636`: Don't capture stderr in _check_and_log_subprocess.
+* :ghpull:`14655`: Backport PR #14649 on branch v3.1.x (Fix appveyor conda py37)
+* :ghpull:`14649`: Fix appveyor conda py37
+* :ghpull:`14646`: Backport PR #14640 on branch v3.1.x (FIX: allow secondary axes to be non-linear)
+* :ghpull:`14640`: FIX: allow secondary axes to be non-linear
+* :ghpull:`14643`: Second attempt at fixing axis inversion (for mpl3.1).
+* :ghpull:`14623`: Fix axis inversion with loglocator and logitlocator.
+* :ghpull:`14619`: Backport PR #14598 on branch v3.1.x (Fix inversion of shared axes.)
+* :ghpull:`14621`: Backport PR #14613 on branch v3.1.x (Cleanup DateFormatter docstring.)
+* :ghpull:`14622`: Backport PR #14611 on branch v3.1.x (Update some axis docstrings.)
+* :ghpull:`14611`: Update some axis docstrings.
+* :ghpull:`14613`: Cleanup DateFormatter docstring.
+* :ghpull:`14598`: Fix inversion of shared axes.
+* :ghpull:`14610`: Backport PR #14579 on branch v3.1.x (Fix inversion of 3d axis.)
+* :ghpull:`14579`: Fix inversion of 3d axis.
+* :ghpull:`14600`: Backport PR #14599 on branch v3.1.x (DOC: Add numpngw to third party packages.)
+* :ghpull:`14574`: Backport PR #14568 on branch v3.1.x (Don't assume tk canvas have a manager attached.)
+* :ghpull:`14568`: Don't assume tk canvas have a manager attached.
+* :ghpull:`14571`: Backport PR #14566 on branch v3.1.x (Move setting of AA_EnableHighDpiScaling before creating QApplication.)
+* :ghpull:`14566`: Move setting of AA_EnableHighDpiScaling before creating QApplication.
+* :ghpull:`14541`: Backport PR #14535 on branch v3.1.x (Invalidate FT2Font cache when fork()ing.)
+* :ghpull:`14535`: Invalidate FT2Font cache when fork()ing.
+* :ghpull:`14522`: Backport PR #14040 on branch v3.1.x (Gracefully handle non-finite z in tricontour (issue #10167))
+* :ghpull:`14434`: Backport PR #14296 on branch v3.1.x (Fix barbs to accept array of bool for ``flip_barb``)
+* :ghpull:`14518`: Backport PR #14509 on branch v3.1.x (Fix too large icon spacing in Qt5 on non-HiDPI screens)
+* :ghpull:`14509`: Fix too large icon spacing in Qt5 on non-HiDPI screens
+* :ghpull:`14514`: Backport PR #14256 on branch v3.1.x (Improve docstring of Axes.barbs)
+* :ghpull:`14256`: Improve docstring of Axes.barbs
+* :ghpull:`14505`: Backport PR #14395 on branch v3.1.x (MAINT: work around non-zero exit status of "pdftops -v" command.)
+* :ghpull:`14504`: Backport PR #14445 on branch v3.1.x (FIX: fastpath clipped artists)
+* :ghpull:`14502`: Backport PR #14451 on branch v3.1.x (FIX: return points rather than path to fix regression)
+* :ghpull:`14445`: FIX: fastpath clipped artists
+* :ghpull:`14497`: Backport PR #14491 on branch v3.1.x (Fix uses of PyObject_IsTrue.)
+* :ghpull:`14491`: Fix uses of PyObject_IsTrue.
+* :ghpull:`14492`: Backport PR #14490 on branch v3.1.x (Fix links of parameter types)
+* :ghpull:`14490`: Fix links of parameter types
+* :ghpull:`14489`: Backport PR #14459 on branch v3.1.x (Cleanup docstring of DraggableBase.)
+* :ghpull:`14459`: Cleanup docstring of DraggableBase.
+* :ghpull:`14485`: Backport #14429 on v3.1.x
+* :ghpull:`14486`: Backport #14403 on v3.1.
+* :ghpull:`14429`: FIX: if the first elements of an array are masked keep checking
+* :ghpull:`14481`: Backport PR #14475 on branch v3.1.x (change ginoput docstring to match behavior)
+* :ghpull:`14482`: Backport PR #14464 on branch v3.1.x (Mention origin and extent tutorial in API docs for origin kwarg)
+* :ghpull:`14464`: Mention origin and extent tutorial in API docs for origin kwarg
+* :ghpull:`14468`: Backport PR #14449: Improve docs on gridspec
+* :ghpull:`14475`: change ginoput docstring to match behavior
+* :ghpull:`14477`: Backport PR #14461 on branch v3.1.x (Fix out of bounds read in backend_tk.)
+* :ghpull:`14476`: Backport PR #14474 on branch v3.1.x (Fix default value in docstring of errorbar func)
+* :ghpull:`14461`: Fix out of bounds read in backend_tk.
+* :ghpull:`14474`: Fix default value in docstring of errorbar func
+* :ghpull:`14473`: Backport PR #14472 on branch v3.1.x (Fix NameError in example code for setting label via method)
+* :ghpull:`14472`: Fix NameError in example code for setting label via method
+* :ghpull:`14449`: Improve docs on gridspec
+* :ghpull:`14450`: Backport PR #14422 on branch v3.1.x (Fix ReST note in span selector example)
+* :ghpull:`14446`: Backport PR #14438 on branch v3.1.x (Issue #14372 - Add degrees to documentation)
+* :ghpull:`14438`: Issue #14372 - Add degrees to documentation
+* :ghpull:`14437`: Backport PR #14387 on branch v3.1.x (Fix clearing rubberband on nbagg)
+* :ghpull:`14387`: Fix clearing rubberband on nbagg
+* :ghpull:`14435`: Backport PR #14425 on branch v3.1.x (Lic restore license paint)
+* :ghpull:`14296`: Fix barbs to accept array of bool for ``flip_barb``
+* :ghpull:`14430`: Backport PR #14397 on branch v3.1.x (Correctly set clip_path on pcolorfast return artist.)
+* :ghpull:`14397`: Correctly set clip_path on pcolorfast return artist.
+* :ghpull:`14409`: Backport PR #14335 on branch v3.1.x (Add explanation of animation.embed_limit to matplotlibrc.template)
+* :ghpull:`14335`: Add explanation of animation.embed_limit to matplotlibrc.template
+* :ghpull:`14403`: Revert "Preserve whitespace in svg output."
+* :ghpull:`14407`: Backport PR #14406 on branch v3.1.x (Remove extra \iint in math_symbol_table for document)
+* :ghpull:`14398`: Backport PR #14394 on branch v3.1.x (Update link to "MathML torture test".)
+* :ghpull:`14394`: Update link to "MathML torture test".
+* :ghpull:`14389`: Backport PR #14388 on branch v3.1.x (Fixed one little spelling error)
+* :ghpull:`14385`: Backport PR #14316 on branch v3.1.x (Improve error message for kiwisolver import error (DLL load failed))
+* :ghpull:`14388`: Fixed one little spelling error
+* :ghpull:`14384`: Backport PR #14369 on branch v3.1.x (Don't use deprecated mathcircled in docs.)
+* :ghpull:`14316`: Improve error message for kiwisolver import error (DLL load failed)
+* :ghpull:`14369`: Don't use deprecated mathcircled in docs.
+* :ghpull:`14375`: Backport PR #14374 on branch v3.1.x (Check that the figure patch is in bbox_artists before trying to remove.)
+* :ghpull:`14374`: Check that the figure patch is in bbox_artists before trying to remove.
+* :ghpull:`14040`: Gracefully handle non-finite z in tricontour (issue #10167)
+* :ghpull:`14342`: Backport PR #14326 on branch v3.1.x (Correctly apply PNG palette when building ImageBase through Pillow.)
+* :ghpull:`14326`: Correctly apply PNG palette when building ImageBase through Pillow.
+* :ghpull:`14341`: Backport PR #14337 on branch v3.1.x (Docstring cleanup)
+* :ghpull:`14337`: Docstring cleanup
+* :ghpull:`14325`: Backport PR #14126 on branch v3.1.x (Simplify grouped bar chart example)
+* :ghpull:`14324`: Backport PR #14139 on branch v3.1.x (TST: be more explicit about identifying qt4/qt5 imports)
+* :ghpull:`14126`: Simplify grouped bar chart example
+* :ghpull:`14323`: Backport PR #14290 on branch v3.1.x (Convert SymmetricalLogScale to numpydoc)
+* :ghpull:`14139`: TST: be more explicit about identifying qt4/qt5 imports
+* :ghpull:`14290`: Convert SymmetricalLogScale to numpydoc
+* :ghpull:`14321`: Backport PR #14313 on branch v3.1.x
+* :ghpull:`14313`: Support masked array inputs for to_rgba and to_rgba_array.
+* :ghpull:`14320`: Backport PR #14319 on branch v3.1.x (Don't set missing history buttons.)
+* :ghpull:`14319`: Don't set missing history buttons.
+* :ghpull:`14317`: Backport PR #14295: Fix bug in SymmetricalLogTransform.
+* :ghpull:`14302`: Backport PR #14255 on branch v3.1.x (Improve docsstring of Axes.streamplot)
+* :ghpull:`14255`: Improve docsstring of Axes.streamplot
+* :ghpull:`14295`: Fix bug in SymmetricalLogTransform.
+* :ghpull:`14294`: Backport PR #14282 on branch v3.1.x (Fix toolmanager's destroy subplots in tk)
+* :ghpull:`14282`: Fix toolmanager's destroy subplots in tk
+* :ghpull:`14292`: Backport PR #14289 on branch v3.1.x (BUG: Fix performance regression when plotting values from Numpy array sub-classes)
+* :ghpull:`14289`: BUG: Fix performance regression when plotting values from Numpy array sub-classes
+* :ghpull:`14287`: Backport PR #14286 on branch v3.1.x (fix minor typo)
+* :ghpull:`14284`: Backport PR #14279 on branch v3.1.x (In case fallback to Agg fails, let the exception propagate out.)
+* :ghpull:`14254`: Merge up 30x
+* :ghpull:`14279`: In case fallback to Agg fails, let the exception propagate out.
+* :ghpull:`14268`: Backport PR #14261 on branch v3.1.x (Updated polar documentation)
+* :ghpull:`14261`: Updated polar documentation
+* :ghpull:`14264`: Backport PR #14260 on branch v3.1.x (Remove old OSX FAQ page)
+* :ghpull:`14260`: Remove old OSX FAQ page
+* :ghpull:`14249`: Backport PR #14243 on branch v3.1.x (Update docstring of makeMappingArray)
+* :ghpull:`14250`: Backport PR #14149 on branch v3.1.x
+* :ghpull:`14252`: Backport PR #14248 on branch v3.1.x (Fix TextBox not respecting eventson)
+* :ghpull:`14253`: Backport PR #13596 on branch v3.1.x (Normalize properties passed to bxp().)
+* :ghpull:`14251`: Backport PR #14241 on branch v3.1.x (Fix linear segmented colormap with one element)
+* :ghpull:`13596`: Normalize properties passed to bxp().
+* :ghpull:`14248`: Fix TextBox not respecting eventson
+* :ghpull:`14241`: Fix linear segmented colormap with one element
+* :ghpull:`14243`: Update docstring of makeMappingArray
+* :ghpull:`14238`: Backport PR #14164 on branch v3.1.x (Fix regexp for dvipng version detection)
+* :ghpull:`14149`: Avoid using ``axis([xlo, xhi, ylo, yhi])`` in examples.
+* :ghpull:`14164`: Fix regexp for dvipng version detection
+* :ghpull:`13739`: Fix pressing tab breaks keymap in CanvasTk
+
+Issues (30):
+
+* :ghissue:`14620`: Plotting on a log/logit scale overwrites axis inverting
+* :ghissue:`14615`: Inverting an axis using its limits does not work for log scale
+* :ghissue:`14577`: Calling invert_yaxis() on a 3D plot has either no effect or removes ticks
+* :ghissue:`14602`: NavigationToolbar2Tk save_figure function bug
+* :ghissue:`1219`: Show fails on figures created with the object-oriented system
+* :ghissue:`10167`: Segmentation fault with tricontour
+* :ghissue:`13723`: RuntimeError when saving PDFs via parallel processes (not threads!)
+* :ghissue:`14315`: Improvement: Better error message if kiwisolver fails to import
+* :ghissue:`14356`: matplotlib.units.ConversionError on scatter of dates with a NaN in the first position
+* :ghissue:`14467`: Docs for plt.ginput() have the wrong default value for show_clicks keyword argument.
+* :ghissue:`14225`: Matplotlib crashes on windows while maximizing plot window when using Multicursor
+* :ghissue:`14458`: DOC: small inconsistency in errobar docstring
+* :ghissue:`14372`: Document that view_init() arguments should be in degrees
+* :ghissue:`12201`: issues clearing rubberband on nbagg at non-default browser zoom
+* :ghissue:`13576`: pcolorfast misbehaves when changing axis limits
+* :ghissue:`14303`: Unable to import matplotlib on Windows 10 v1903
+* :ghissue:`14283`: RendererSVG CSS 'white-space' property conflicts with default HTML CSS
+* :ghissue:`14293`: imshow() producing "inverted" colors since 3.0.3
+* :ghissue:`14322`: Cannot import matplotlib with Python 3.7.x on Win10Pro
+* :ghissue:`14137`: Qt5 test auto-skip is not working correctly
+* :ghissue:`14301`: scatter() fails on nan-containing input when providing edgecolor
+* :ghissue:`14318`: Don't try to set missing history buttons.
+* :ghissue:`14265`: symlog looses some points since 3.1.0 (example given)
+* :ghissue:`14274`: BUG: plotting with Numpy array subclasses is slow with Matplotlib 3.1.0 (regression)
+* :ghissue:`14263`: import pyplot issue -
+* :ghissue:`14227`: Update "working with Mpl on OSX" docs
+* :ghissue:`13448`: boxplot doesn't normalize properties before applying them
+* :ghissue:`14226`: Modify matplotlib TextBox value without triggering callback
+* :ghissue:`14232`: LinearSegmentedColormap with N=1 gives confusing error message
+* :ghissue:`10365`: Scatter plot with non-sequence ´c´ color should give a better Error message.
diff --git a/doc/users/prev_whats_new/github_stats_3.1.2.rst b/doc/users/prev_whats_new/github_stats_3.1.2.rst
new file mode 100644
index 000000000000..e1ed84e26372
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.1.2.rst
@@ -0,0 +1,186 @@
+.. _github-stats-3-1-2:
+
+GitHub statistics for 3.1.2 (Nov 21, 2019)
+==========================================
+
+GitHub statistics for 2019/07/01 (tag: v3.1.1) - 2019/11/21
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 28 issues and merged 113 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/47?closed=1>`__
+
+The following 23 authors contributed 192 commits.
+
+* Alex Rudy
+* Antony Lee
+* Bingyao Liu
+* Cong Ma
+* David Stansby
+* Elliott Sales de Andrade
+* hannah
+* Hanno Rein
+* ImportanceOfBeingErnest
+* joaonsg
+* Jody Klymak
+* Matthias Bussonnier
+* MeeseeksMachine
+* miquelastein
+* Nelle Varoquaux
+* Patrick Shriwise
+* Paul Hoffman
+* Paul Ivanov
+* Ryan May
+* Samesh
+* Thomas A Caswell
+* Tim Hoffmann
+* Vincent L.M. Mazoyer
+
+GitHub issues and pull requests:
+
+Pull Requests (113):
+
+* :ghpull:`15664`: Backport PR #15649 on branch v3.1.x (Fix searchindex.js loading when ajax fails (because e.g. CORS in embedded iframes))
+* :ghpull:`15722`: Backport PR #15718 on branch v3.1.x (Update donation link)
+* :ghpull:`15667`: Backport PR #15654 on branch v3.1.x (Fix some broken links.)
+* :ghpull:`15658`: Backport PR #15647 on branch v3.1.x (Update some links)
+* :ghpull:`15582`: Backport PR #15512 on branch v3.1.x
+* :ghpull:`15512`: FIX: do not consider webagg and nbagg "interactive" for fallback
+* :ghpull:`15558`: Backport PR #15553 on branch v3.1.x (DOC: add cache-buster query string to css path)
+* :ghpull:`15550`: Backport PR #15528 on branch v3.1.x (Declutter home page)
+* :ghpull:`15547`: Backport PR #15516 on branch v3.1.x (Add logo like font)
+* :ghpull:`15511`: DOC: fix nav location
+* :ghpull:`15508`: Backport PR #15489 on branch v3.1.x (DOC: adding main nav to site)
+* :ghpull:`15494`: Backport PR #15486 on branch v3.1.x (Fixes an error in the documentation of Ellipse)
+* :ghpull:`15486`: Fixes an error in the documentation of Ellipse
+* :ghpull:`15473`: Backport PR #15464 on branch v3.1.x (Remove unused code (remainder from #15453))
+* :ghpull:`15470`: Backport PR #15460 on branch v3.1.x (Fix incorrect value check in axes_grid.)
+* :ghpull:`15464`: Remove unused code (remainder from #15453)
+* :ghpull:`15455`: Backport PR #15453 on branch v3.1.x (Improve example for tick locators)
+* :ghpull:`15453`: Improve example for tick locators
+* :ghpull:`15443`: Backport PR #15439 on branch v3.1.x (DOC: mention discourse main page)
+* :ghpull:`15424`: Backport PR #15422 on branch v3.1.x (FIX: typo in attribute lookup)
+* :ghpull:`15322`: Backport PR #15297 on branch v3.1.x (Document How-to figure empty)
+* :ghpull:`15298`: Backport PR #15296 on branch v3.1.x (Fix typo/bug from 18cecf7)
+* :ghpull:`15296`: Fix typo/bug from 18cecf7
+* :ghpull:`15278`: Backport PR #15271 on branch v3.1.x (Fix font weight validation)
+* :ghpull:`15271`: Fix font weight validation
+* :ghpull:`15218`: Backport PR #15217 on branch v3.1.x (Doc: Add ``plt.show()`` to horizontal bar chart example)
+* :ghpull:`15207`: Backport PR #15206: FIX: be more forgiving about expecting internal s…
+* :ghpull:`15198`: Backport PR #15197 on branch v3.1.x (Remove mention of now-removed basedir setup option.)
+* :ghpull:`15197`: Remove mention of now-removed basedir setup option.
+* :ghpull:`15189`: Backport PR #14979: FIX: Don't enable IPython integration if not ente…
+* :ghpull:`15190`: Backport PR #14683: For non-html output, let sphinx pick the best format
+* :ghpull:`15187`: Backport PR #15140 on branch v3.1.x
+* :ghpull:`15185`: Backport PR #15168 on branch v3.1.x (MNT: explicitly cast ``np.bool_`` -> bool to prevent deprecation warning)
+* :ghpull:`15168`: MNT: explicitly cast ``np.bool_`` -> bool to prevent deprecation warning
+* :ghpull:`15183`: Backport PR #15181 on branch v3.1.x (FIX: proper call to zero_formats)
+* :ghpull:`15181`: FIX: proper call to zero_formats
+* :ghpull:`15172`: Backport PR #15166 on branch v3.1.x
+* :ghpull:`15166`: FIX: indexed pandas bar
+* :ghpull:`15153`: Backport PR #14456 on branch v3.1.x (PyQT5 Backend Partial Redraw Fix)
+* :ghpull:`14456`: PyQT5 Backend Partial Redraw Fix
+* :ghpull:`15140`: Fix ScalarFormatter formatting of masked values
+* :ghpull:`15135`: Backport PR #15132 on branch v3.1.x (Update documenting guide on rcParams)
+* :ghpull:`15128`: Backport PR #15115 on branch v3.1.x (Doc: highlight rcparams)
+* :ghpull:`15125`: Backport PR #15110 on branch v3.1.x (Add inheritance diagram to mpl.ticker docs)
+* :ghpull:`15116`: Backport PR #15114 on branch v3.1.x (DOC: update language around NF)
+* :ghpull:`15058`: Backport PR #15055 on branch v3.1.x (Remove mention of now-removed feature in docstring.)
+* :ghpull:`15055`: Remove mention of now-removed feature in docstring.
+* :ghpull:`15047`: Backport PR #14919 on branch v3.1.x (FIX constrained_layout w/ hidden axes)
+* :ghpull:`14919`: FIX constrained_layout w/ hidden axes
+* :ghpull:`15022`: Backport PR #15020 on branch v3.1.x (Let connectionpatch be drawn on figure level)
+* :ghpull:`15020`: Let connectionpatch be drawn on figure level
+* :ghpull:`15017`: Backport PR #15007 on branch v3.1.x (FIX: support pandas 0.25)
+* :ghpull:`14979`: FIX: Don't enable IPython integration if not entering REPL.
+* :ghpull:`14987`: Merge pull request #14915 from AWhetter/fix_14585
+* :ghpull:`14985`: Backport PR #14982 on branch v3.1.x (DOC: correct table docstring)
+* :ghpull:`14982`: DOC: correct table docstring
+* :ghpull:`14975`: Backport PR #14974 on branch v3.1.x (grammar)
+* :ghpull:`14972`: Backport PR #14971 on branch v3.1.x (typo)
+* :ghpull:`14965`: Fix typo in documentation of table
+* :ghpull:`14951`: Backport PR #14934 on branch v3.1.x (DOC: update axes_demo to directly manipulate fig, ax)
+* :ghpull:`14938`: Backport PR #14905 on branch v3.1.x (Gracefully handle encoding problems when querying external executables.)
+* :ghpull:`14935`: Backport PR #14933 on branch v3.1.x (DOC: typo x2 costum -> custom)
+* :ghpull:`14936`: Backport PR #14932 on branch v3.1.x (DOC: Update invert_example to directly manipulate axis.)
+* :ghpull:`14905`: Gracefully handle encoding problems when querying external executables.
+* :ghpull:`14933`: DOC: typo x2 costum -> custom
+* :ghpull:`14910`: Backport PR #14901 on branch v3.1.x (Fix GH14900: numpy 1.17.0 breaks test_colors.)
+* :ghpull:`14864`: Backport PR #14830 on branch v3.1.x (FIX: restore special casing of shift-enter in notebook)
+* :ghpull:`14861`: Don't use pandas 0.25.0 for testing
+* :ghpull:`14855`: Backport PR #14839 on branch v3.1.x
+* :ghpull:`14839`: Improve docstring of Axes.hexbin
+* :ghpull:`14837`: Backport PR #14757 on branch v3.1.x (Remove incorrect color/cmap docstring line in contour.py)
+* :ghpull:`14836`: Backport PR #14764 on branch v3.1.x (DOC: Fixes the links in the see-also section of Axes.get_tightbbox)
+* :ghpull:`14818`: Backport PR #14510 on branch v3.1.x (Improve example for fill_between)
+* :ghpull:`14819`: Backport PR #14704 on branch v3.1.x (Small patches on Docs (Tutorials and FAQ))
+* :ghpull:`14820`: Backport PR #14765 on branch v3.1.x (DOC: Fix documentation location for patheffects)
+* :ghpull:`14821`: Backport PR #14741 on branch v3.1.x (DOC: Update description of properties of Line2D in 'plot' documentation.)
+* :ghpull:`14822`: Backport PR #14714 on branch v3.1.x (Point towards how to save output of non-interactive backends)
+* :ghpull:`14823`: Backport PR #14784 on branch v3.1.x (Tiny docs/comments cleanups.)
+* :ghpull:`14824`: Backport PR #14798 on branch v3.1.x (Cleanup dates.py module docstrings.)
+* :ghpull:`14825`: Backport PR #14802 on branch v3.1.x (Fix some broken refs in the docs.)
+* :ghpull:`14826`: Backport PR #14806 on branch v3.1.x (Remove unnecessary uses of transFigure from examples.)
+* :ghpull:`14827`: Backport PR #14525 on branch v3.1.x (improve documentation of OffsetBox)
+* :ghpull:`14828`: Backport PR #14548: Link to matplotlibrc of used version
+* :ghpull:`14817`: Backport PR #14697 on branch v3.1.x (Fix NavigationToolbar2QT height)
+* :ghpull:`14692`: Backport PR #14688 on branch v3.1.x (Revise the misleading title for subplots demo)
+* :ghpull:`14816`: Backport PR #14677 on branch v3.1.x (Don't misclip axis when calling set_ticks on inverted axes.)
+* :ghpull:`14815`: Backport PR #14658 on branch v3.1.x (Fix numpydoc formatting)
+* :ghpull:`14813`: Backport PR #14488 on branch v3.1.x (Make sure EventCollection doesn't modify input in-place)
+* :ghpull:`14806`: Remove unnecessary uses of transFigure from examples.
+* :ghpull:`14802`: Fix some broken refs in the docs.
+* :ghpull:`14798`: Cleanup dates.py module docstrings.
+* :ghpull:`14784`: Tiny docs/comments cleanups.
+* :ghpull:`14764`: DOC: Fixes the links in the see-also section of Axes.get_tightbbox
+* :ghpull:`14777`: Backport PR #14775 on branch v3.1.x (DOC: Fix CircleCI builds)
+* :ghpull:`14769`: Backport PR #14759 on branch v3.1.x (DOC: note about having to rebuild after switching to local freetype)
+* :ghpull:`14714`: Point towards how to save output of non-interactive backends
+* :ghpull:`14741`: DOC: Update description of properties of Line2D in 'plot' documentation.
+* :ghpull:`14771`: Backport PR #14760 on branch v3.1.x (DOC: minor CoC wording change)
+* :ghpull:`14765`: DOC: Fix documentation location for patheffects
+* :ghpull:`14735`: Backport PR #14734 on branch v3.1.x (Add geoplot to third-party example libraries page.)
+* :ghpull:`14711`: Backport PR #14706 on branch v3.1.x (Mention gr backend in docs.)
+* :ghpull:`14704`: Small patches on Docs (Tutorials and FAQ)
+* :ghpull:`14700`: Backport PR #14698 on branch v3.1.x (Make property name be consistent with rc parameter.)
+* :ghpull:`14510`: Improve example for fill_between
+* :ghpull:`14683`: For non-html output, let sphinx pick the best format.
+* :ghpull:`14697`: Fix NavigationToolbar2QT height
+* :ghpull:`14677`: Don't misclip axis when calling set_ticks on inverted axes.
+* :ghpull:`14658`: Fix numpydoc formatting
+* :ghpull:`14488`: Make sure EventCollection doesn't modify input in-place
+* :ghpull:`14570`: Remove print statements
+* :ghpull:`14525`: improve documentation of OffsetBox
+* :ghpull:`14548`: Link to matplotlibrc of used version
+* :ghpull:`14395`: MAINT: work around non-zero exit status of "pdftops -v" command.
+
+Issues (28):
+
+* :ghissue:`15295`: Can't install matplotlib with pip for Python 3.8b4
+* :ghissue:`15714`: Publish 3.8 wheels
+* :ghissue:`15706`: Python 3.8 - Installation error: TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
+* :ghissue:`15690`: Should xlim support single-entry arrays?
+* :ghissue:`15608`: imshow rendering changed from 3.1.0 to 3.1.1
+* :ghissue:`14903`: 'MPLBACKEND=webagg' is overwritten by agg when $DISPLAY is not set on Linux
+* :ghissue:`15351`: Bar width expands between subsequent bars
+* :ghissue:`15240`: Can't specify integer ``font.weight`` in custom style sheet any more
+* :ghissue:`15255`: ``imshow`` in ``v3.1.1``: y-axis chopped-off
+* :ghissue:`15186`: 3D quiver plot fails when pivot = "middle"
+* :ghissue:`14160`: PySide2/PyQt5: Graphics issues in QScrollArea for OSX
+* :ghissue:`15178`: mdates.ConciseDateFormatter() doesn't work with zero_formats parameter
+* :ghissue:`15179`: Patch 3.1.1 broke imshow() heatmaps: Tiles cut off on y-axis
+* :ghissue:`15162`: axes.bar fails when x is int-indexed pandas.Series
+* :ghissue:`15103`: Colorbar for imshow messes interactive cursor with masked data
+* :ghissue:`8744`: ConnectionPatch hidden by plots
+* :ghissue:`14950`: plt.ioff() not supressing figure generation
+* :ghissue:`14959`: Typo in Docs
+* :ghissue:`14902`: from matplotlib import animation UnicodeDecodeError
+* :ghissue:`14897`: New yticks behavior in 3.1.1 vs 3.1.0
+* :ghissue:`14811`: How to save hexbin binned data in a text file.
+* :ghissue:`14551`: Non functional API links break docs builds downstream
+* :ghissue:`14720`: Line2D properties should state units
+* :ghissue:`10891`: Toolbar icons too large in PyQt5 (Qt5Agg backend)
+* :ghissue:`14675`: Heatmaps are being truncated when using with seaborn
+* :ghissue:`14487`: eventplot sorts np.array positions, but not list positions
+* :ghissue:`14547`: Changing mplstyle: axes.titlelocation causes Bad Key error
+* :ghissue:`10410`: eventplot alters data in some cases
diff --git a/doc/users/prev_whats_new/github_stats_3.1.3.rst b/doc/users/prev_whats_new/github_stats_3.1.3.rst
new file mode 100644
index 000000000000..b4706569df02
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.1.3.rst
@@ -0,0 +1,87 @@
+.. _github-stats-3-1-3:
+
+GitHub statistics for 3.1.3 (Feb 03, 2020)
+==========================================
+
+GitHub statistics for 2019/11/05 (tag: v3.1.2) - 2020/02/03
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 7 issues and merged 45 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/50?closed=1>`__
+
+The following 13 authors contributed 125 commits.
+
+* Antony Lee
+* David Stansby
+* Elliott Sales de Andrade
+* hannah
+* Jody Klymak
+* MeeseeksMachine
+* Nelle Varoquaux
+* Nikita Kniazev
+* Paul Ivanov
+* SamSchott
+* Steven G. Johnson
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (45):
+
+* :ghpull:`16382`: Backport PR #16379 on branch v3.1.x (FIX: catch on message content, not module)
+* :ghpull:`16362`: Backport PR #16347: FIX: catch warnings from pandas in cbook._check_1d
+* :ghpull:`16356`: Backport PR #16330 on branch v3.1.x (Clearer signal handling)
+* :ghpull:`16330`: Clearer signal handling
+* :ghpull:`16348`: Backport PR #16255 on branch v3.1.x (Move version info to sidebar)
+* :ghpull:`16345`: Backport PR #16298 on branch v3.1.x (Don't recursively call draw_idle when updating artists at draw time.)
+* :ghpull:`16298`: Don't recursively call draw_idle when updating artists at draw time.
+* :ghpull:`16322`: Backport PR #16250: Fix zerolen intersect
+* :ghpull:`16320`: Backport PR #16311 on branch v3.1.x (don't override non-Python signal handlers)
+* :ghpull:`16311`: don't override non-Python signal handlers
+* :ghpull:`16250`: Fix zerolen intersect
+* :ghpull:`16237`: Backport PR #16235 on branch v3.1.x (FIX: AttributeError in TimerBase.start)
+* :ghpull:`16235`: FIX: AttributeError in TimerBase.start
+* :ghpull:`16208`: Backport PR #15556 on branch v3.1.x (Fix test suite compat with ghostscript 9.50.)
+* :ghpull:`16213`: Backport PR #15763 on branch v3.1.x (Skip webagg test if tornado is not available.)
+* :ghpull:`16167`: Backport PR #16166 on branch v3.1.x (Add badge for citing 3.1.2)
+* :ghpull:`16166`: Add badge for citing 3.1.2
+* :ghpull:`16144`: Backport PR #16053 on branch v3.1.x (Fix v_interval setter)
+* :ghpull:`16053`: Fix v_interval setter
+* :ghpull:`16136`: Backport PR #16112 on branch v3.1.x (CI: Fail when failed to install dependencies)
+* :ghpull:`16131`: Backport PR #16126 on branch v3.1.x (TST: test_fork: Missing join)
+* :ghpull:`16126`: TST: test_fork: Missing join
+* :ghpull:`16091`: Backport PR #16086 on branch v3.1.x (FIX: use supported attribute to check pillow version)
+* :ghpull:`16040`: Backport PR #16031 on branch v3.1.x (Fix docstring of hillshade().)
+* :ghpull:`16032`: Backport PR #16028 on branch v3.1.x (Prevent FigureCanvasQT_draw_idle recursively calling itself.)
+* :ghpull:`16028`: Prevent FigureCanvasQT_draw_idle recursively calling itself.
+* :ghpull:`16020`: Backport PR #16007 on branch v3.1.x (Fix search on nested pages)
+* :ghpull:`16018`: Backport PR #15735 on branch v3.1.x (Cleanup some mplot3d docstrings.)
+* :ghpull:`16007`: Fix search on nested pages
+* :ghpull:`15957`: Backport PR #15953 on branch v3.1.x (Update donation link)
+* :ghpull:`15763`: Skip webagg test if tornado is not available.
+* :ghpull:`15881`: Backport PR #15859 on branch v3.1.x (Doc: Move search field into nav bar)
+* :ghpull:`15863`: Backport PR #15244 on branch v3.1.x: Change documentation format of rcParams defaults
+* :ghpull:`15859`: Doc: Move search field into nav bar
+* :ghpull:`15860`: Backport PR #15851 on branch v3.1.x (ffmpeg is available on default ubuntu packages now)
+* :ghpull:`15851`: ffmpeg is available on default ubuntu packages now.
+* :ghpull:`15843`: Backport PR #15737 on branch v3.1.x (Fix env override in WebAgg backend test.)
+* :ghpull:`15760`: Backport PR #15752 on branch v3.1.x (Update boxplot/violinplot faq.)
+* :ghpull:`15757`: Backport PR #15751 on branch v3.1.x (Modernize FAQ entry for plt.show().)
+* :ghpull:`15735`: Cleanup some mplot3d docstrings.
+* :ghpull:`15753`: Backport PR #15661 on branch v3.1.x (Document scope of 3D scatter depthshading.)
+* :ghpull:`15741`: Backport PR #15729 on branch v3.1.x (Catch correct parse errror type for dateutil >= 2.8.1)
+* :ghpull:`15729`: Catch correct parse errror type for dateutil >= 2.8.1
+* :ghpull:`15737`: Fix env override in WebAgg backend test.
+* :ghpull:`15244`: Change documentation format of rcParams defaults
+
+Issues (7):
+
+* :ghissue:`16294`: BUG: Interactive mode slow
+* :ghissue:`15842`: Path.intersects_path returns True when it shouldn't
+* :ghissue:`16163`: libpng error: Read Error when using matplotlib after setting usetex=True
+* :ghissue:`15960`: v3.1.2 - test suite "frozen" after it finishes
+* :ghissue:`16083`: Pillow 7.0.0 Support
+* :ghissue:`15481`: Recursion error
+* :ghissue:`15717`: Move search field into nav bar
diff --git a/doc/users/prev_whats_new/github_stats_3.10.0.rst b/doc/users/prev_whats_new/github_stats_3.10.0.rst
new file mode 100644
index 000000000000..01b54708b7ec
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.10.0.rst
@@ -0,0 +1,587 @@
+.. _github-stats-3_10_0:
+
+GitHub statistics for 3.10.0 (Dec 13, 2024)
+===========================================
+
+GitHub statistics for 2024/05/15 (tag: v3.9.0) - 2024/12/13
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 100 issues and merged 337 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/84?closed=1>`__
+
+The following 128 authors contributed 1932 commits.
+
+* abhi-jha
+* Adam J. Stewart
+* Aditi Gautam
+* Aditya Vidyadhar Kamath
+* Aishling Cooke
+* Alan
+* Alan Sosa
+* Alice
+* Aman Nijjar
+* Ammar Qazi
+* Ancheng
+* anpaulan
+* Anson0028
+* Anthony Lee
+* anTon
+* Antony Lee
+* Ayoub Gouasmi
+* Brigitta Sipőcz
+* Caitlin Hathaway
+* cesar
+* Charlie LeWarne
+* Christian Mattsson
+* ClarkeAC
+* Clemens Brunner
+* Clement Gilli
+* cmp0xff
+* Costa Paraskevopoulos
+* dale
+* Dani Pinyol
+* Daniel Weiss
+* Danny
+* David Bakaj
+* David Lowry-Duda
+* David Meyer
+* David Stansby
+* dbakaj
+* dependabot[bot]
+* Diogo Cardoso
+* Doron Behar
+* Edgar Andrés Margffoy Tuay
+* Elliott Sales de Andrade
+* Eytan Adler
+* farquh
+* Felipe Cybis Pereira
+* Filippo Balzaretti
+* FMasson
+* Francisco Cardozo
+* Gavin S
+* Greg Lucas
+* haaris
+* hannah
+* Ian Thomas
+* Illviljan
+* James Addison
+* James Spencer
+* Jody Klymak
+* john
+* Jonas Eschle
+* Jouni K. Seppänen
+* juanis2112
+* Juanita Gomez
+* Justin Hendrick
+* K900
+* Kaustbh
+* Kaustubh
+* Kherim Willems
+* Kyle Sunden
+* Kyra Cho
+* Larry Bradley
+* litchi
+* Lorenzo
+* Lucx33
+* Lumberbot (aka Jack)
+* MadPhysicist
+* malhar2460
+* Martino Sorbaro
+* Mathias Hauser
+* Matthew Feickert
+* Matthew Petroff
+* Melissa Weber Mendonça
+* Michael
+* Michael Droettboom
+* Michael Hinton
+* MischaMegens2
+* Moritz Wolter
+* muchojp
+* Nabil
+* nakamura yuki
+* odile
+* OdileVidrine
+* Oscar Gustafsson
+* Panicks28
+* Paul An
+* Pedro Barão
+* PedroBittarBarao
+* Peter Talley
+* Pierre-antoine Comby
+* Pranav
+* Pranav Raghu
+* pre-commit-ci[bot]
+* proximalf
+* r3kste
+* Randolf Scholz
+* Refael Ackermann
+* RickyP24
+* rnhmjoj
+* Ruth Comer
+* Ryan May
+* Sai Chaitanya, Sanivada
+* saranti
+* scaccol
+* Scott Shambaugh
+* Sean Smith
+* Simon May
+* simond07
+* smcgrawDotNet
+* Takumasa N
+* Takumasa N.
+* Takumasa Nakamura
+* thiagoluisbecker
+* Thomas A Caswell
+* Tiago Lubiana
+* Tim Hoffmann
+* trananso
+* Trygve Magnus Ræder
+* Victor Liu
+* vittoboa
+* Xeniya Shoiko
+
+GitHub issues and pull requests:
+
+Pull Requests (337):
+
+* :ghpull:`29299`: Merge v3.9.x into v3.10.x
+* :ghpull:`29296`: Backport PR #29295 on branch v3.10.x (BLD: Pin meson-python to <0.17.0)
+* :ghpull:`29290`: Backport PR #29254 on branch v3.10.x (DOC: Add note to align_labels())
+* :ghpull:`29289`: Backport PR #29260 on branch v3.10.x (DOC: Better explanation of rcParams "patch.edgecolor" and "patch.force_edgecolor")
+* :ghpull:`29288`: Backport PR #29285 on branch v3.10.x (Retarget PR#29175 to main)
+* :ghpull:`29254`: DOC: Add note to align_labels()
+* :ghpull:`29260`: DOC: Better explanation of rcParams "patch.edgecolor" and "patch.force_edgecolor"
+* :ghpull:`29285`: Retarget PR#29175 to main
+* :ghpull:`29286`: Backport PR #29274 on branch v3.10.x (Bump the actions group across 1 directory with 2 updates)
+* :ghpull:`29274`: Bump the actions group across 1 directory with 2 updates
+* :ghpull:`29283`: Backport PR #29272 on branch v3.10.x (DOC: Add section on translating between Axes and pyplot interface)
+* :ghpull:`29272`: DOC: Add section on translating between Axes and pyplot interface
+* :ghpull:`29279`: Backport PR #29265 on branch v3.10.x (DOC: Slightly improve the LineCollection docstring)
+* :ghpull:`29276`: Backport PR #29247 on branch v3.10.x (Fix building freetype 2.6.1 on macOS clang 18)
+* :ghpull:`29244`: Switch to a 3d rotation trackball implementation with path independence
+* :ghpull:`29265`: DOC: Slightly improve the LineCollection docstring
+* :ghpull:`29247`: Fix building freetype 2.6.1 on macOS clang 18
+* :ghpull:`29268`: Bump the actions group with 2 updates
+* :ghpull:`29266`: Backport PR #29251 on branch v3.10.x (Zizmor audit)
+* :ghpull:`29269`: Backport PR #29267 on branch v3.10.x (Exclude pylab from mypy checks)
+* :ghpull:`29267`: Exclude pylab from mypy checks
+* :ghpull:`29251`: Zizmor audit
+* :ghpull:`29255`: Backport PR #29249 on branch v3.10.x ([Bug Fix] Fix reverse mapping for _translate_tick_params)
+* :ghpull:`29249`: [Bug Fix] Fix reverse mapping for _translate_tick_params
+* :ghpull:`29250`: Backport PR #29243 on branch v3.10.x (Add quotes around [dev] in environment.yml)
+* :ghpull:`29243`: Add quotes around [dev] in environment.yml
+* :ghpull:`29246`: Backport PR #29240 on branch v3.10.x (DOC: Add plt.show() to introductory pyplot example)
+* :ghpull:`29240`: DOC: Add plt.show() to introductory pyplot example
+* :ghpull:`29239`: Backport PR #29236 on branch v3.10.x (ANI: Reduce Pillow frames to RGB when opaque)
+* :ghpull:`29238`: Backport PR #29167 on branch v3.10.x (BUGFIX: use axes unit information in ConnectionPatch )
+* :ghpull:`29236`: ANI: Reduce Pillow frames to RGB when opaque
+* :ghpull:`29167`: BUGFIX: use axes unit information in ConnectionPatch
+* :ghpull:`29232`: Merge branch v3.9.x into v3.10.x
+* :ghpull:`29230`: Backport PR #29188 on branch v3.10.x (Bump pypa/cibuildwheel from 2.21.3 to 2.22.0 in the actions group)
+* :ghpull:`29188`: Bump pypa/cibuildwheel from 2.21.3 to 2.22.0 in the actions group
+* :ghpull:`29225`: Backport PR #29213 on branch v3.10.x (avoid-unnecessary-warning-in-_pcolorargs-function)
+* :ghpull:`29211`: Backport PR #29133 on branch v3.10.x (Creating_parse_bar_color_args to unify color handling in plt.bar with precedence and sequence support for facecolor and edgecolor)
+* :ghpull:`29177`: Backport PR #29148 on branch v3.10.x (Don't fail on equal-but-differently-named cmaps in qt figureoptions.)
+* :ghpull:`29226`: Backport PR #29206 on branch v3.10.x (Skip more tests on pure-Wayland systems)
+* :ghpull:`29206`: Skip more tests on pure-Wayland systems
+* :ghpull:`29213`: avoid-unnecessary-warning-in-_pcolorargs-function
+* :ghpull:`29210`: Backport PR #29209 on branch v3.10.x (FIX:  pcolormesh with no x y args and nearest interp)
+* :ghpull:`29133`: Creating_parse_bar_color_args to unify color handling in plt.bar with precedence and sequence support for facecolor and edgecolor
+* :ghpull:`29209`: FIX:  pcolormesh with no x y args and nearest interp
+* :ghpull:`29200`: Backport PR #29182 on branch v3.10.x (Update backend_qt.py: parent not passed to __init__ on subplottool)
+* :ghpull:`29207`: Backport PR #29169 on branch v3.10.x (Minor fixes to text intro explainer)
+* :ghpull:`29169`: Minor fixes to text intro explainer
+* :ghpull:`29159`: Pending warning for deprecated parameter 'vert' of box and violin on 3.10
+* :ghpull:`29196`: Backport PR #29191 on branch v3.10.x (ci: Simplify 3.13t test setup)
+* :ghpull:`29182`: Update backend_qt.py: parent not passed to __init__ on subplottool
+* :ghpull:`29189`: Backport PR #28934 on branch v3.10.x (ci: Unpin micromamba again)
+* :ghpull:`29186`: Backport PR #28335 on branch v3.10.x (DOC: do not posting LLM output as your own work)
+* :ghpull:`28934`: ci: Unpin micromamba again
+* :ghpull:`28335`: DOC: do not posting LLM output as your own work
+* :ghpull:`29178`: Backport PR #29163 on branch v3.9.x (ci: Remove outdated pkg-config package on macOS)
+* :ghpull:`29170`: Backport PR #29154 on branch v3.10.x (Relax conditions for warning on updating converters)
+* :ghpull:`29154`: Relax conditions for warning on updating converters
+* :ghpull:`29166`: Backport PR #29153 on branch v3.10.x (Bump codecov/codecov-action from 4 to 5 in the actions group)
+* :ghpull:`29164`: Backport PR #29163 on branch v3.10.x (ci: Remove outdated pkg-config package on macOS)
+* :ghpull:`29168`: Backport PR #29073 on branch v3.10.x (Update secondary_axis tutorial)
+* :ghpull:`29073`: Update secondary_axis tutorial
+* :ghpull:`29163`: ci: Remove outdated pkg-config package on macOS
+* :ghpull:`29145`: Backport PR #29144 on branch v3.10.x (Use both TCL_SETVAR and TCL_SETVAR2 for tcl 9 support)
+* :ghpull:`29144`: Use both TCL_SETVAR and TCL_SETVAR2 for tcl 9 support
+* :ghpull:`29140`: Backport PR #29080 on branch v3.10.x (Updates the ``galleries/tutorials/artists.py`` file in response to issue #28920)
+* :ghpull:`29080`: Updates the ``galleries/tutorials/artists.py`` file in response to issue #28920
+* :ghpull:`29138`: Backport PR #29134 on branch v3.10.x (MNT: Temporarily skip failing test to unbreak CI)
+* :ghpull:`29134`: MNT: Temporarily skip failing test to unbreak CI
+* :ghpull:`29132`: Backport PR #29128 on branch v3.10.x (Tweak AutoMinorLocator docstring.)
+* :ghpull:`29128`: Tweak AutoMinorLocator docstring.
+* :ghpull:`29123`: Bump the actions group with 2 updates
+* :ghpull:`29122`: Backport PR #29120 on branch v3.10.x (DOC: Switch nested pie example from cmaps to color_sequences)
+* :ghpull:`29100`: Backport PR #29099 on branch v3.10.x (MNT: remove _ttconv.pyi)
+* :ghpull:`29099`: MNT: remove _ttconv.pyi
+* :ghpull:`29098`: Backport PR #29097 on branch v3.10.x (ENH: add back/forward buttons to osx backend move)
+* :ghpull:`29097`: ENH: add back/forward buttons to osx backend move
+* :ghpull:`29095`: Backport PR #29071 on branch v3.10.x (Bump pypa/gh-action-pypi-publish from 1.10.3 to 1.11.0 in the actions group)
+* :ghpull:`29096`: Backport PR #29094 on branch v3.10.x (DOC: fix link in See Also section of axes.violin)
+* :ghpull:`29092`: Backport PR #29088 on branch v3.10.x (DOC: Format aliases in kwargs tables)
+* :ghpull:`29094`: DOC: fix link in See Also section of axes.violin
+* :ghpull:`29091`: Backport PR #29085 on branch v3.10.x (FIX: Update GTK3Agg backend export name for consistency)
+* :ghpull:`29088`: DOC: Format aliases in kwargs tables
+* :ghpull:`29089`: Backport PR #29065 on branch v3.10.x (DOC: Update docstring of triplot())
+* :ghpull:`29085`: FIX: Update GTK3Agg backend export name for consistency
+* :ghpull:`29084`: Backport PR #29081 on branch v3.10.x (Document "none" as color value)
+* :ghpull:`29065`: DOC: Update docstring of triplot()
+* :ghpull:`29081`: Document "none" as color value
+* :ghpull:`29061`: Backport PR #29024 on branch v3.10.x (Fix saving animations to transparent formats)
+* :ghpull:`29069`: Backport PR #29068 on branch v3.10.x ([DOC] Fix indentation in sync_cmaps example)
+* :ghpull:`29070`: Backport PR #29048 on branch v3.10.x (DOC: integrated pr workflow from contributing guide into install and workflow)
+* :ghpull:`29048`: DOC: integrated pr workflow from contributing guide into install and workflow
+* :ghpull:`29068`: [DOC] Fix indentation in sync_cmaps example
+* :ghpull:`29024`: Fix saving animations to transparent formats
+* :ghpull:`29059`: Cleanup converter docs and StrCategoryConverter behavior
+* :ghpull:`29058`: [DOC] Update missing-references.json
+* :ghpull:`29057`: DOC/TST: lock numpy<2.1 in environment.yml
+* :ghpull:`29053`: Factor out common formats strings in LogFormatter, LogFormatterExponent.
+* :ghpull:`28970`: Add explicit converter setting to Axis
+* :ghpull:`28048`: Enables setting hatch linewidth in Patches and Collections, also fixes setting hatch linewidth by rcParams
+* :ghpull:`29017`: DOC: Document preferred figure size for examples
+* :ghpull:`28871`: updated contribution doc #28476
+* :ghpull:`28453`: Stop relying on dead-reckoning mouse buttons for motion_notify_event.
+* :ghpull:`28495`: ticker.EngFormatter: allow offset
+* :ghpull:`29039`: MNT: Add provisional get_backend(resolve=False) flag
+* :ghpull:`28946`: MNT: Deprecate plt.polar() with an existing non-polar Axes
+* :ghpull:`29013`: FIX: auto_fmtxdate for constrained layout
+* :ghpull:`29022`: Fixes AIX internal CI build break.
+* :ghpull:`28830`: Feature: Support passing DataFrames to table.table
+* :ghpull:`27766`: Return filename from save_figure
+* :ghpull:`27167`: ENH: add long_axis property to colorbar
+* :ghpull:`29021`: Update minimum pybind11 to 2.13.2
+* :ghpull:`28863`: Improved documentation for quiver
+* :ghpull:`29019`: Update requirements to add PyStemmer to doc-requirements and environment
+* :ghpull:`28653`: Mnt/generalize plot varargs
+* :ghpull:`28967`: Fix MSVC cast warnings
+* :ghpull:`29016`: DOC: Better explain suptitle / supxlabel / supylabel naming
+* :ghpull:`28842`: FT2Font extension improvements
+* :ghpull:`28658`: New data → color pipeline
+* :ghpull:`29012`: Bump required pybind11 to 2.13
+* :ghpull:`29007`: MNT: Deprecate changing Figure.number
+* :ghpull:`28861`: Break Artist._remove_method reference cycle
+* :ghpull:`28478`: bugfix for ``PathSimplifier``
+* :ghpull:`28992`: DOC: Refresh transform tree example
+* :ghpull:`28890`: MNT: Add missing dependency to environment.yml
+* :ghpull:`28354`: Add Quiverkey zorder option
+* :ghpull:`28966`: Fix polar error bar cap orientation
+* :ghpull:`28819`: Mark all extensions as free-threading safe
+* :ghpull:`28986`: DOC: Add tags for 3D fill_between examples
+* :ghpull:`28984`: DOC / BUG: Better example for 3D axlim_clip argument
+* :ghpull:`20866`: Remove ttconv and implement Type-42 embedding using fontTools
+* :ghpull:`28975`: Set guiEvent where applicable for gtk4.
+* :ghpull:`28568`: added tags to mplot3d examples
+* :ghpull:`28976`: Bump pypa/cibuildwheel from 2.21.2 to 2.21.3 in the actions group
+* :ghpull:`28978`: CI: Resolve mypy stubtest build errors
+* :ghpull:`28823`: Fix 3D rotation precession
+* :ghpull:`28841`: Make mplot3d mouse rotation style adjustable
+* :ghpull:`28971`: DOC: correct linestyle example and reference rcParams
+* :ghpull:`28702`: [MNT]: #28701 separate the generation of polygon vertices in fill_between to enable resampling
+* :ghpull:`28965`: Suggest imageio_ffmpeg to provide ffmpeg as animation writer.
+* :ghpull:`28964`: FIX macos: Use the agg buffer_rgba rather than private attribute
+* :ghpull:`28963`: Remove refs to outdated writers in animation.py.
+* :ghpull:`28948`: Raise ValueError for RGB values outside the [0, 1] range in rgb_to_hsv function
+* :ghpull:`28857`: Pybind11 cleanup
+* :ghpull:`28949`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`28950`: Bump the actions group with 2 updates
+* :ghpull:`28904`: Agg: Remove 16-bit limits
+* :ghpull:`28856`: Convert remaining code to pybind11
+* :ghpull:`28874`: Remove remaining 3.8 deprecations
+* :ghpull:`28943`: DOC: Clarify the returned line of axhline()/axvline()
+* :ghpull:`28935`: DOC: Fix invalid rcParam references
+* :ghpull:`28942`: In colorbar docs, add ref from 'boundaries' doc to 'spacing' doc.
+* :ghpull:`28933`: Switch AxLine.set_xy{1,2} to take a single argument.
+* :ghpull:`28869`: ci: Bump build image on AppVeyor to MSVC 2019
+* :ghpull:`28906`: Re-fix exception caching in dviread.
+* :ghpull:`27349`: [ENH] Implement dynamic clipping to axes limits for 3D plots
+* :ghpull:`28913`: DOC: Fix Axis.set_label reference
+* :ghpull:`28911`: MNT: Fix double evaluation of _LazyTickList
+* :ghpull:`28584`: MNT: Prevent users from erroneously using legend label API on Axis
+* :ghpull:`28853`: MNT: Check the input sizes of regular X,Y in pcolorfast
+* :ghpull:`28838`: TST: Fix minor issues in interactive backend test
+* :ghpull:`28795`: MNT: Cleanup docstring substitution mechanisms
+* :ghpull:`28897`: Fix minor issues in stubtest wrapper
+* :ghpull:`28899`: Don't cache exception with traceback reference loop in dviread.
+* :ghpull:`28888`: DOC: Better visualization for the default color cycle example
+* :ghpull:`28896`: doc: specify non-python dependencies in dev install docs
+* :ghpull:`28843`: MNT: Cleanup FontProperties __init__ API
+* :ghpull:`28683`: MNT: Warn if fixed aspect overwrites explicitly set data limits
+* :ghpull:`25645`: Fix issue with sketch not working on PathCollection in Agg
+* :ghpull:`28886`: DOC: Cross-link Axes attributes
+* :ghpull:`28880`: Remove 'in' from removal substitution for deprecation messages
+* :ghpull:`28875`: DOC: Fix documentation of hist() kwarg lists
+* :ghpull:`28825`: DOC: Fix non-working code object references
+* :ghpull:`28862`: Improve pie chart error messages
+* :ghpull:`28844`: DOC: Add illustration to Figure.subplots_adjust
+* :ghpull:`28588`: Fix scaling in Tk on non-Windows systems
+* :ghpull:`28849`: DOC: Mark subfigures as no longer provisional
+* :ghpull:`26000`: making onselect a keyword argument on selectors
+* :ghpull:`26013`: Support unhashable callbacks in CallbackRegistry
+* :ghpull:`27011`: Convert Agg extension to pybind11
+* :ghpull:`28845`: In examples, prefer named locations rather than location numbers.
+* :ghpull:`27218`: API: finish LocationEvent.lastevent removal
+* :ghpull:`26870`: Removed the deprecated code from axis.py
+* :ghpull:`27996`: Create ``InsetIndicator`` artist
+* :ghpull:`28532`: TYP: Fix xycoords and friends
+* :ghpull:`28785`: Convert ft2font extension to pybind11
+* :ghpull:`28815`: DOC: Document policy on colormaps and styles
+* :ghpull:`28826`: MNT: Replace _docstring.dedent_interpd by its alias _docstring.interpd
+* :ghpull:`27567`: DOC: batch of tags
+* :ghpull:`27302`: Tags for simple_scatter.py demo
+* :ghpull:`28820`: DOC: Fix missing cross-reference checks for sphinx-tags
+* :ghpull:`28786`: Handle single color in ContourSet
+* :ghpull:`28808`: DOC: Add a plot to margins() to visualize the effect
+* :ghpull:`27938`: feat: add dunder method for math operations on Axes Size divider
+* :ghpull:`28569`: Adding tags to many examples
+* :ghpull:`28183`: Expire deprecations
+* :ghpull:`28801`: DOC: Clarify AxLine.set_xy2 / AxLine.set_slope
+* :ghpull:`28788`: TST: Skip webp tests if it isn't available
+* :ghpull:`28550`: Remove internal use of ``Artist.figure``
+* :ghpull:`28767`: MNT: expire ``ContourSet`` deprecations
+* :ghpull:`28755`: TYP: Add typing for internal _tri extension
+* :ghpull:`28765`: Add tests for most of FT2Font, and fix some bugs
+* :ghpull:`28781`: TST: Fix test_pickle_load_from_subprocess in a dirty tree
+* :ghpull:`28783`: Fix places where "auto" was not listed as valid interpolation_stage.
+* :ghpull:`28779`: DOC/TST: lock numpy < 2.1
+* :ghpull:`28771`: Ensure SketchParams is always fully initialized
+* :ghpull:`28375`: FIX: Made AffineDeltaTransform pass-through properly
+* :ghpull:`28454`: MultivarColormap and BivarColormap
+* :ghpull:`27891`: Refactor some parts of ft2font extension
+* :ghpull:`28752`: quick fix dev build by locking out numpy version that's breaking things
+* :ghpull:`28749`: Add sphinxcontrib-video to environment.yml
+* :ghpull:`27851`: Add ten-color accessible color cycle as style sheet
+* :ghpull:`28501`: ConciseDateFormatter's offset string is correct on an inverted axis
+* :ghpull:`28734`: Compressed layout moves suptitle
+* :ghpull:`28736`: Simplify some code in dviread
+* :ghpull:`28347`: Doc: added triage section to new contributor docs
+* :ghpull:`28735`: ci: Avoid setuptools 72.2.0 when installing kiwi on PyPy
+* :ghpull:`28728`: MNT: Deprecate reimported functions in top-level namespace
+* :ghpull:`28730`: MNT: Don't rely on RcParams being a dict subclass in internal code
+* :ghpull:`28714`: Simplify _api.warn_external on Python 3.12+
+* :ghpull:`28727`: MNT: Better workaround for format_cursor_data on ScalarMappables
+* :ghpull:`28725`: Stop disabling FH4 Exception Handling on MSVC
+* :ghpull:`28711`: Merge branch v3.9.x into main
+* :ghpull:`28713`: DOC: Add a few more notes to release guide
+* :ghpull:`28720`: DOC: Clarify axhline() uses axes coordinates
+* :ghpull:`28718`: DOC: Update missing references for numpydoc 1.8.0
+* :ghpull:`28710`: DOC: clarify alpha handling for indicate_inset[_zoom]
+* :ghpull:`28704`: Fixed arrowstyle doc interpolation in FancyPatch.set_arrow() #28698.
+* :ghpull:`28709`: Bump actions/attest-build-provenance from 1.4.0 to 1.4.1 in the actions group
+* :ghpull:`28707`: Avoid division-by-zero in Sketch::Sketch
+* :ghpull:`28610`: CI: Add CI to test matplotlib against free-threaded Python
+* :ghpull:`28262`: Fix PolygonSelector cursor to temporarily hide during active zoom/pan
+* :ghpull:`28670`: API: deprecate unused helper in patch._Styles
+* :ghpull:`28589`: Qt embedding example: Separate drawing and data retrieval timers
+* :ghpull:`28655`: Inline annotation and PGF user demos
+* :ghpull:`28654`: DOC: Remove long uninstructive examples
+* :ghpull:`28652`: Fix docstring style inconsistencies in lines.py
+* :ghpull:`28641`: DOC: Standardize example titles - part 2
+* :ghpull:`28642`: DOC: Simplify heatmap example
+* :ghpull:`28638`: DOC: Remove hint on PRs from origin/main
+* :ghpull:`28587`: Added dark-mode diverging colormaps
+* :ghpull:`28546`: DOC: Clarify/simplify example of multiple images with one colorbar
+* :ghpull:`28613`: Added documentation for parameters vmin and vmax inside specgram function.
+* :ghpull:`28627`: DOC: Bump minimum Sphinx to 5.1.0
+* :ghpull:`28628`: DOC: Sub-structure next API changes overview
+* :ghpull:`28629`: FIX: ``Axis.set_in_layout`` respected
+* :ghpull:`28575`: Add branch tracking to development workflow instructions
+* :ghpull:`28616`: CI: Build docs on latest Python
+* :ghpull:`28617`: DOC: Enable parallel builds
+* :ghpull:`28544`: DOC: Standardize example titles
+* :ghpull:`28615`: DOC: hack to suppress sphinx-gallery 17.0 warning
+* :ghpull:`28293`: BLD: Enable building Python 3.13 wheels for nightlies
+* :ghpull:`27385`: Fix 3D lines being visible when behind camera
+* :ghpull:`28609`: svg: Ensure marker-only lines get URLs
+* :ghpull:`28599`: Upgrade code to Python 3.10
+* :ghpull:`28593`: Update ruff to 0.2.0
+* :ghpull:`28603`: Simplify ttconv python<->C++ conversion using std::optional.
+* :ghpull:`28557`: DOC: apply toc styling to remove nesting
+* :ghpull:`28542`: CI: adjust pins in mypy GHA job
+* :ghpull:`28504`: Changes in SVG backend to improve compatibility with Affinity designer
+* :ghpull:`28122`: Disable clipping in Agg resamplers.
+* :ghpull:`28597`: Pin PyQt6 back on Ubuntu 20.04
+* :ghpull:`28073`: Add support for multiple hatches, edgecolors and linewidths in histograms
+* :ghpull:`28594`: MNT: Raise on GeoAxes limits manipulation
+* :ghpull:`28312`: Remove one indirection layer in ToolSetCursor.
+* :ghpull:`28573`: ENH: include property name in artist AttributeError
+* :ghpull:`28503`: Bump minimum Python to 3.10
+* :ghpull:`28525`: FIX: colorbar pad for ``ImageGrid``
+* :ghpull:`28558`: DOC: Change _make_image signature to numpydoc
+* :ghpull:`28061`: API: add antialiased to interpolation-stage in image
+* :ghpull:`28536`: [svg] Add rcParam["svg.id"] to add a top-level id attribute to <svg>
+* :ghpull:`28540`: Subfigures become stale when their artists are stale
+* :ghpull:`28177`: Rationalise artist get_figure methods; make figure attribute a property
+* :ghpull:`28527`: DOC: improve tagging guidelines page
+* :ghpull:`28530`: DOC: Simplify axhspan example
+* :ghpull:`28537`: DOC: Update timeline example for newer releases
+* :ghpull:`27833`: [SVG] Introduce sequential ID-generation scheme for clip-paths.
+* :ghpull:`28512`: DOC: Fix version switcher for stable docs
+* :ghpull:`28492`: MNT: Remove PolyQuadMesh deprecations
+* :ghpull:`28509`: CI: Use micromamba on AppVeyor
+* :ghpull:`28510`: Merge v3.9.1 release into main
+* :ghpull:`28494`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`28497`: Add words to ignore for codespell
+* :ghpull:`28455`: Expand ticklabels_rotation example to cover rotating default ticklabels.
+* :ghpull:`28282`: DOC: clarify no-build-isolation & mypy ignoring new functions
+* :ghpull:`28306`: Fixed PolarAxes not using fmt_xdata and added simple test (#4568)
+* :ghpull:`28400`: DOC: Improve doc wording of data parameter
+* :ghpull:`28225`: [ENH]: fill_between extended to 3D
+* :ghpull:`28371`: Bump pypa/cibuildwheel from 2.18.1 to 2.19.0 in the actions group
+* :ghpull:`28390`: Inline RendererBase._get_text_path_transform.
+* :ghpull:`28381`: Take hinting rcParam into account in MathTextParser cache.
+* :ghpull:`28363`: flip subfigures axes to match subplots
+* :ghpull:`28340`: Fix missing font error when using MiKTeX
+* :ghpull:`28379`: PathEffectsRenderer can plainly inherit RendererBase._draw_text_as_path.
+* :ghpull:`28275`: Revive sanitizing default filenames extracted from UI window titles
+* :ghpull:`28360`: DOC: fixed code for testing check figures equal example
+* :ghpull:`28370`: Reorder Axes3D parameters semantically.
+* :ghpull:`28350`: Typo in communication guide: extensiblity -> extensibility
+* :ghpull:`28290`: Introduce natural 3D rotation with mouse
+* :ghpull:`28186`: apply unary minus spacing directly after equals sign
+* :ghpull:`28311`: Update 3D orientation indication right away
+* :ghpull:`28300`: Faster title alignment
+* :ghpull:`28313`: Factor out handling of missing spines in alignment calculations.
+* :ghpull:`28196`: TST: add timeouts to font_manager + threading test
+* :ghpull:`28279`: Doc/ipython dep
+* :ghpull:`28091`: [MNT]: create build-requirements.txt and update dev-requirements.txt
+* :ghpull:`27992`: Add warning for multiple pyplot.figure calls with same ID
+* :ghpull:`28238`: DOC: Update release guide to match current automations
+* :ghpull:`28232`: Merge v3.9.0 release into main
+* :ghpull:`28228`: DOC: Fix typo in release_guide.rst
+* :ghpull:`28074`: Add  ``orientation`` parameter to Boxplot and deprecate ``vert``
+* :ghpull:`27998`: Add a new ``orientation`` parameter to Violinplot and deprecate ``vert``
+* :ghpull:`28217`: Better group logging of font handling by texmanager.
+* :ghpull:`28130`: Clarify the role of out_mask and out_alpha in _make_image.
+* :ghpull:`28201`: Deprecate ``Poly3DCollection.get_vector``
+* :ghpull:`28046`: DOC: Clarify merge policy
+* :ghpull:`26893`: PGF: Consistently set LaTeX document font size
+* :ghpull:`28156`: Don't set savefig.facecolor/edgecolor in dark_background/538 styles.
+* :ghpull:`28030`: Fix #28016: wrong lower ylim when baseline=None on stairs
+* :ghpull:`28127`: GOV: write up policy on not updating req for CVEs in dependencies
+* :ghpull:`28106`: Fix: [Bug]: Setting norm by string doesn't work for hexbin #28105
+* :ghpull:`28143`: Merge branch v3.9.x into main
+* :ghpull:`28133`: Make ``functions`` param to secondary_x/yaxis not keyword-only.
+* :ghpull:`28083`: Convert TensorFlow to numpy for plots
+* :ghpull:`28116`: FIX: Correct names of aliased cmaps
+* :ghpull:`28118`: Remove redundant baseline tests in test_image.
+* :ghpull:`28093`: Minor maintenance on pgf docs/backends.
+* :ghpull:`27818`: Set polygon offsets for log scaled hexbin
+* :ghpull:`28058`: TYP: add float to to_rgba x type
+* :ghpull:`27964`: BUG: Fix NonUniformImage with nonlinear scale
+* :ghpull:`28054`: DOC: Clarify that parameters to gridded data plotting functions are p…
+* :ghpull:`27882`: Deleting all images that have passed tests before upload
+* :ghpull:`28033`: API: warn if stairs used in way that is likely not desired
+* :ghpull:`27786`: Deprecate positional use of most arguments of plotting functions
+* :ghpull:`28025`: DOC: Clarify interface terminology
+* :ghpull:`28043`: MNT: Add git blame ignore for docstring parameter indentation fix
+* :ghpull:`28037`: DOC: Fix inconsistent spacing in some docstrings in _axes.py
+* :ghpull:`28031`: Be more specific in findobj return type
+
+Issues (100):
+
+* :ghissue:`29298`: [Doc]: The link at "see also" is incorrect. (Axes.violin)
+* :ghissue:`29248`: [Bug]: Figure.align_labels() confused by GridSpecFromSubplotSpec
+* :ghissue:`26738`: Improve LineCollection docstring further
+* :ghissue:`29263`: [Bug]: mypy failures in CI
+* :ghissue:`27416`: [Bug]: get_tick_params on xaxis shows wrong keywords
+* :ghissue:`29241`: [Bug]: Instructions for setting up conda dev environment in environment.yml give issues with MacOS/zsh
+* :ghissue:`29227`: [Bug]: Introductory example on the pyplot API page does not show - missing plt.show()
+* :ghissue:`29190`: [Bug]: inconsistent ‘animation.FuncAnimation’ between display and save
+* :ghissue:`29090`: [MNT]: More consistent color parameters for bar()
+* :ghissue:`29179`: [Bug]: Incorrect pcolormesh when shading='nearest' and only the mesh data C is provided.
+* :ghissue:`29067`: [Bug]: ``secondary_xaxis`` produces ticks at incorrect locations
+* :ghissue:`29126`: [Bug]: TkAgg backend is broken with tcl/tk 9.0
+* :ghissue:`29045`: [ENH]: implement back/forward buttons on mouse move events on macOS
+* :ghissue:`27173`: [Bug]: Gifs no longer create transparent background
+* :ghissue:`19229`: Add public API for setting an axis unit converter
+* :ghissue:`21108`: [Bug]: Hatch linewidths cannot be modified in an  rcParam context
+* :ghissue:`27784`: [Bug]: Polar plot error bars don't rotate with angle for ``set_theta_direction`` and ``set_theta_offset``
+* :ghissue:`29011`: [Bug]: Figure.autofmt_xdate() not working in presence of colorbar with constrained layout
+* :ghissue:`29020`: AIX internal CI build break #Matplotlib
+* :ghissue:`28726`: feature request: support passing DataFrames to table.table
+* :ghissue:`28570`: [MNT]: Try improving doc build speed by using PyStemmer
+* :ghissue:`13388`: Typo in the figure API (fig.suptitle)
+* :ghissue:`28994`: [Bug]: Figure Number Gives Type Error
+* :ghissue:`28985`: [ENH]: Cannot disable coordinate display in ToolManager/Toolbar (it's doable in NavigationToolbar2)
+* :ghissue:`17914`: ``PathSimplifier`` fails to ignore ``CLOSEPOLY`` vertices
+* :ghissue:`28885`: [Bug]: Strange errorbar caps when polar axes have non-default theta direction or theta zero location
+* :ghissue:`12418`: replace ttconv for ps/pdf
+* :ghissue:`28962`: [Bug]: gtk4 backend does not set guiEvent attribute
+* :ghissue:`28408`: [ENH]: mplot3d mouse rotation style
+* :ghissue:`28701`: [MNT]: Separate the generation of polygon vertices from ``_fill_between_x_or_y``
+* :ghissue:`28941`: [Bug]: unexplicit error message when using ``matplotlib.colors.rgb_to_hsv()`` with wrong input
+* :ghissue:`23846`: [MNT]: Pybind11 transition plan
+* :ghissue:`28866`: Possible memory leak in pybind11 migration
+* :ghissue:`26368`: [Bug]: Long audio files result in incomplete spectrogram visualizations
+* :ghissue:`23826`: [Bug]: Overflow of 16-bit integer in Agg renderer causes PolyCollections to be drawn at incorrect locations
+* :ghissue:`28927`: [Bug]: Enforce that Line data modifications are sequences
+* :ghissue:`12312`: colorbar(boundaries=...) doesn't work so well with nonlinear norms
+* :ghissue:`28800`: [ENH]: AxLine xy1/xy2 setters should take xy as single parameters, (possibly) not separate ones
+* :ghissue:`28893`: [Bug]: Lines between points are invisible when there are more than 7 subfigures per row
+* :ghissue:`28908`: [Bug]: Possible performance issue with _LazyTickList
+* :ghissue:`27971`: [Bug]: ax.xaxis.set_label(...) doesn't set the x-axis label
+* :ghissue:`28059`: [Bug]: pcolorfast should validate that regularly spaced X or Y inputs have the right size
+* :ghissue:`28892`: [Doc]: Be more specific on dependencies that need to be installed for a "reasonable" dev environment
+* :ghissue:`19693`: path.sketch doesn't apply to PolyCollection
+* :ghissue:`28873`: [Bug]: hist()'s doc for edgecolors/facecolors does not match behavior (which is itself not very consistent)
+* :ghissue:`23005`: [Doc]: Add figure to ``subplots_adjust``
+* :ghissue:`25947`: [Doc]: Subfigures still marked as provisional
+* :ghissue:`26012`: [Bug]: "Unhashable type" when event callback is a method of a ``dict`` subclass
+* :ghissue:`23425`: [Bug]: Axes.indicate_inset connectors affect constrained layout
+* :ghissue:`23424`: [Bug]: Axes.indicate_inset(linewidth=...) doesn't affect connectors
+* :ghissue:`19768`: Overlay created by ``Axes.indicate_inset_zoom`` does not adjust when changing inset ranges
+* :ghissue:`27673`: [Doc]: Confusing page on color changes
+* :ghissue:`28782`: [Bug]: String ``contour(colors)`` gives confusing error when ``extend`` used
+* :ghissue:`27930`: [ENH]: Make axes_grid1.Size more math friendly.
+* :ghissue:`28372`: [Bug]: AffineDeltaTransform does not appear to invalidate properly
+* :ghissue:`27866`: [Bug]: Adding suptitle in compressed layout causes weird spacing
+* :ghissue:`28731`: [Bug]: Plotting numpy.array of dtype float32 with pyplot.imshow and specified colors.LogNorm produces wrong colors
+* :ghissue:`28715`: [Bug]: CI doc builds fail since a couple of days
+* :ghissue:`28698`: [bug]: arrowstyle doc interpolation in FancyPatch.set_arrow()
+* :ghissue:`28669`: [Bug]: division-by-zero error in Sketch::Sketch with Agg backend
+* :ghissue:`28548`: [Doc]: matplotlib.pyplot.specgram parameters vmin and vmax are not documented
+* :ghissue:`28165`: [Bug]: PolygonSelector should hide itself when zoom/pan is active
+* :ghissue:`18608`: Feature proposal: "Dark mode" divergent colormaps
+* :ghissue:`28623`: [Bug]: ``Axis.set_in_layout`` not respected?
+* :ghissue:`6305`: Matplotlib 3D plot - parametric curve “wraparound� from certain perspectives
+* :ghissue:`28595`: [Bug]: set_url without effect for instances of Line2D with linestyle 'none'
+* :ghissue:`20910`: [Bug]: Exported SVG files are no longer imported Affinity Designer correctly
+* :ghissue:`28600`: [TST] Upcoming dependency test failures
+* :ghissue:`26718`: [Bug]: stacked histogram does not properly handle edgecolor and hatches
+* :ghissue:`28590`: [ENH]: Geo Projections support for inverting axis
+* :ghissue:`27954`: [ENH]: Iterables in grouped histogram labels
+* :ghissue:`27878`: [ENH]: AttributeError('... got an unexpected keyword argument ...') should set the .name attribute to the keyword
+* :ghissue:`28489`: [TST] Upcoming dependency test failures
+* :ghissue:`28343`: [Bug]: inconsistent colorbar pad for ``ImageGrid`` with ``cbar_mode="single"``
+* :ghissue:`28535`: [ENH]: Add id attribute to top level svg tag
+* :ghissue:`28170`: [Doc]: ``get_figure`` may return a ``SubFigure``
+* :ghissue:`27831`: [Bug]: Nondeterminism in SVG clipPath element id attributes
+* :ghissue:`4568`: Add ``fmt_r`` and ``fmt_theta`` methods to polar axes
+* :ghissue:`28105`: [Bug]: Setting norm by string doesn't work for hexbin
+* :ghissue:`28142`: [ENH]: Add fill between support for 3D plots
+* :ghissue:`28344`: [Bug]: subfigures are added in column major order
+* :ghissue:`28212`: [Bug]: Matplotlib not work with MiKTeX.
+* :ghissue:`28288`: [ENH]: Natural 3D rotation with mouse
+* :ghissue:`28180`: [Bug]: mathtext should distinguish between unary and binary minus
+* :ghissue:`26150`: [Bug]: Savefig slow with subplots
+* :ghissue:`28310`: [Bug]: orientation indication shows up late in mplot3d, and then lingers
+* :ghissue:`16263`: Apply NEP29 (time-limited support) to IPython
+* :ghissue:`28192`: [MNT]: Essential build requirements not included in dev-requirements
+* :ghissue:`27978`: [Bug]:  strange behaviour when redefining figure size
+* :ghissue:`13435`: boxplot/violinplot orientation-setting API
+* :ghissue:`28199`: [MNT]: Misleading function name ``Poly3DCollection.get_vector()``
+* :ghissue:`26892`: [Bug]: PGF font size mismatch between measurement and output
+* :ghissue:`28016`: [Bug]: Unexpected ylim of stairs with baseline=None
+* :ghissue:`28114`: [Bug]: mpl.colormaps[ "Grays" ].name is "Greys", not "Grays"
+* :ghissue:`18045`: Cannot access hexbin data when ``xscale='log'`` and ``yscale='log'`` are set.
+* :ghissue:`27820`: [Bug]: Logscale Axis + NonUniformImage + GUI move tool = Distortion
+* :ghissue:`28047`: [Bug]: plt.barbs is a command that cannot be passed in a c parameter by parameter name, but can be passed in the form of a positional parameter
+* :ghissue:`23400`: Only upload failed images on failure
+* :ghissue:`26752`: [Bug]: ``ax.stairs()`` creates inaccurate ``fill`` for the plot
+* :ghissue:`21817`: [Doc/Dev]: style guide claims "object oriented" is verboten.
diff --git a/doc/users/prev_whats_new/github_stats_3.2.0.rst b/doc/users/prev_whats_new/github_stats_3.2.0.rst
new file mode 100644
index 000000000000..3cb3fce5de52
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.2.0.rst
@@ -0,0 +1,1150 @@
+.. _github-stats-3-2-0:
+
+GitHub statistics for 3.2.0 (Mar 04, 2020)
+==========================================
+
+GitHub statistics for 2019/05/18 (tag: v3.1.0) - 2020/03/04
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 125 issues and merged 839 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/43?closed=1>`__
+
+The following 164 authors contributed 3455 commits.
+
+* Abhinav Sagar
+* Abhinuv Nitin Pitale
+* Adam Gomaa
+* Akshay Nair
+* Alex Rudy
+* Alexander Rudy
+* Antony Lee
+* Ao Liu (frankliuao)
+* Ardie Orden
+* Ashley Whetter
+* Ben Root
+* Benjamin Bengfort
+* Benjamin Congdon
+* Bharat123rox
+* Bingyao Liu
+* Brigitta Sipocz
+* Bruno Pagani
+* brut
+* Carsten
+* Carsten Schelp
+* chaoyi1
+* Cho Yin Yong
+* Chris Barnes
+* Christer Jensen
+* Christian Brodbeck
+* Christoph Pohl
+* chuanzhu xu
+* Colin
+* Cong Ma
+* dabana
+* DanielMatu
+* David Chudzicki
+* David Stansby
+* Deng Tian
+* depano.carlos@gmail.com
+* djdt
+* donchanee
+* Dora Fraeman Caswell
+* Elan Ernest
+* Elliott Sales de Andrade
+* Emlyn Price
+* Eric Firing
+* Eric Wieser
+* Federico Ariza
+* Filipe Fernandes
+* fourpoints
+* fredrik-1
+* Gazing
+* Greg Lucas
+* hannah
+* Harshal Prakash Patankar
+* Ian Hincks
+* Ian Thomas
+* ilopata1
+* ImportanceOfBeingErnest
+* Jacobson Okoro
+* James A. Bednar
+* Jarrod Millman
+* Javad
+* jb-leger
+* Jean-Benoist Leger
+* jfbu
+* joaonsg
+* Jody Klymak
+* Joel Frederico
+* Johannes H. Jensen
+* Johnny Gill
+* Jonas Camillus Jeppesen
+* Jorge Moraleda
+* Joscha Reimer
+* Joseph Albert
+* Jouni K. Seppänen
+* Joy Bhalla
+* Juanjo Bazán
+* Julian Mehne
+* kolibril13
+* krishna katyal
+* ksunden
+* Kyle Sunden
+* Larry Bradley
+* lepuchi
+* luftek
+* Maciej Dems
+* Maik Riechert
+* Marat K
+* Mark Wolf
+* Mark Wolfman
+* Matte
+* Matthias Bussonnier
+* Matthias Geier
+* MatthieuDartiailh
+* Max Chen
+* Max Humber
+* Max Shinn
+* MeeseeksMachine
+* Michael Droettboom
+* Mingkai Dong
+* MinRK
+* miquelastein
+* Molly Rossow
+* Nathan Goldbaum
+* nathan78906
+* Nelle Varoquaux
+* Nick White
+* Nicolas Courtemanche
+* Nikita Kniazev
+* njwhite
+* O\. Castany
+* Oliver Natt
+* Olivier
+* Om Sitapara
+* omsitapara23
+* Oriol (Prodesk)
+* Oriol Abril
+* Patrick Feiring
+* Patrick Shriwise
+* PatrickFeiring
+* Paul
+* Paul Hobson
+* Paul Hoffman
+* Paul Ivanov
+* Peter Schutt
+* pharshalp
+* Phil Elson
+* Philippe Pinard
+* Rebecca W Perry
+* ResidentMario
+* Richard Ji-Cathriner
+* RoryIAngus
+* Ryan May
+* S\. Fukuda
+* Samesh
+* Samesh Lakhotia
+* sasoripathos
+* SBCV
+* Sebastian Bullinger
+* Sergey Royz
+* Siddhesh Poyarekar
+* Simon Legner
+* SojiroFukuda
+* Steve Dower
+* Taras
+* Ted Drain
+* teddyrendahl
+* Thomas A Caswell
+* Thomas Hisch
+* Thomas Robitaille
+* Till Hoffmann
+* tillahoffmann
+* Tim Hoffmann
+* Tom Flannaghan
+* Travis CI
+* V\. Armando Solé
+* Vincent L.M. Mazoyer
+* Viraj Mohile
+* Wafa Soofi
+* Warren Weckesser
+* y1thof
+* yeo
+* Yong Cho Yin
+* Yuya
+* Zhili (Jerry) Pan
+* zhoubecky
+* Zulko
+
+GitHub issues and pull requests:
+
+Pull Requests (839):
+
+* :ghpull:`16626`: Updated Readme + Setup.py for PyPa
+* :ghpull:`16627`: ci: Restore nuget install step on Azure for v3.2.x.
+* :ghpull:`16625`: v3.2.x: Make Azure use local FreeType.
+* :ghpull:`16622`: Backport PR #16613 on branch v3.2.x (Fix edge-case in preprocess_data, if label_namer is optional and unset.)
+* :ghpull:`16613`: Fix edge-case in preprocess_data, if label_namer is optional and unset.
+* :ghpull:`16612`: Backport PR #16605: CI: tweak the vm images we use on azure
+* :ghpull:`16611`: Backport PR #16585 on branch v3.2.x (Fix _preprocess_data for Py3.9.)
+* :ghpull:`16605`: CI: tweak the vm images we use on azure
+* :ghpull:`16585`: Fix _preprocess_data for Py3.9.
+* :ghpull:`16541`: Merge pull request #16404 from jklymak/fix-add-base-symlognorm
+* :ghpull:`16542`: Backport PR #16006: Ignore pos in StrCategoryFormatter.__call__ to di…
+* :ghpull:`16543`: Backport PR #16532: Document default value of save_count parameter in…
+* :ghpull:`16532`: Document default value of save_count parameter in FuncAnimation
+* :ghpull:`16526`: Backport PR #16480 on v.3.2.x: Re-phrase doc for bottom kwarg to hist
+* :ghpull:`16404`: FIX: add base kwarg to symlognor
+* :ghpull:`16518`: Backport PR #16502 on branch v3.2.x (Document theta getters/setters)
+* :ghpull:`16519`: Backport PR #16513 on branch v3.2.x (Add more FreeType tarball hashes.)
+* :ghpull:`16513`: Add more FreeType tarball hashes.
+* :ghpull:`16502`: Document theta getters/setters
+* :ghpull:`16506`: Backport PR #16505 on branch v3.2.x (Add link to blog to front page)
+* :ghpull:`16505`: Add link to blog to front page
+* :ghpull:`16480`: Re-phrase doc for bottom kwarg to hist
+* :ghpull:`16494`: Backport PR #16490 on branch v3.2.x (Fix some typos on the front page)
+* :ghpull:`16489`: Backport PR #16272 on branch v3.2.x (Move mplot3d autoregistration api changes to 3.2.)
+* :ghpull:`16490`: Fix some typos on the front page
+* :ghpull:`16465`: Backport PR #16450 on branch v3.2.x (Fix interaction between sticky_edges and shared axes.)
+* :ghpull:`16466`: Backport PR #16392: FIX colorbars for Norms that do not have a scale.
+* :ghpull:`16392`: FIX colorbars for Norms that do not have a scale.
+* :ghpull:`16450`: Fix interaction between sticky_edges and shared axes.
+* :ghpull:`16453`: Backport PR #16452 on branch v3.2.x (Don't make InvertedLogTransform inherit from deprecated base class.)
+* :ghpull:`16452`: Don't make InvertedLogTransform inherit from deprecated base class.
+* :ghpull:`16436`: Backport PR #16435 on branch v3.2.x (Reword intro to colors api docs.)
+* :ghpull:`16435`: Reword intro to colors api docs.
+* :ghpull:`16399`: Backport PR #16396 on branch v3.2.x (font_manager docs cleanup.)
+* :ghpull:`16396`: font_manager docs cleanup.
+* :ghpull:`16397`: Backport PR #16394 on branch v3.2.x (Mark inkscape 1.0 as unsupported (at least for now).)
+* :ghpull:`16394`: Mark inkscape 1.0 as unsupported (at least for now).
+* :ghpull:`16286`: Fix cbars for different norms
+* :ghpull:`16385`: Backport PR #16226 on branch v3.2.x: Reorganize intro section on main page
+* :ghpull:`16383`: Backport PR #16379 on branch v3.2.x (FIX: catch on message content, not module)
+* :ghpull:`16226`: Reorganize intro section on main page
+* :ghpull:`16364`: Backport PR #16344 on branch v3.2.x (Cast vmin/vmax to floats before nonsingular-expanding them.)
+* :ghpull:`16344`: Cast vmin/vmax to floats before nonsingular-expanding them.
+* :ghpull:`16360`: Backport PR #16347 on branch v3.2.x (FIX: catch warnings from pandas in cbook._check_1d)
+* :ghpull:`16357`: Backport PR #16330 on branch v3.2.x (Clearer signal handling)
+* :ghpull:`16349`: Backport PR #16255 on branch v3.2.x (Move version info to sidebar)
+* :ghpull:`16346`: Backport PR #16298 on branch v3.2.x (Don't recursively call draw_idle when updating artists at draw time.)
+* :ghpull:`16331`: Backport PR #16308 on branch v3.2.x (CI: Use Ubuntu Bionic compatible package names)
+* :ghpull:`16332`: Backport PR #16308 on v3.2.x: CI: Use Ubuntu Bionic compatible package names
+* :ghpull:`16324`: Backport PR #16323 on branch v3.2.x (Add sphinx doc for Axis.axis_name.)
+* :ghpull:`16325`: Backport PR #15462 on v3.2.x: Simplify azure setup.
+* :ghpull:`16323`: Add sphinx doc for Axis.axis_name.
+* :ghpull:`16321`: Backport PR #16311 on branch v3.2.x (don't override non-Python signal handlers)
+* :ghpull:`16308`: CI: Use Ubuntu Bionic compatible package names
+* :ghpull:`16306`: Backport PR #16300 on branch v3.2.x (Don't default to negative radii in polar plot.)
+* :ghpull:`16305`: Backport PR #16250 on branch v3.2.x (Fix zerolen intersect)
+* :ghpull:`16300`: Don't default to negative radii in polar plot.
+* :ghpull:`16278`: Backport PR #16273 on branch v3.2.x (DOC: Changing the spelling of co-ordinates.)
+* :ghpull:`16260`: Backport PR #16259 on branch v3.2.x (TST: something changed in pytest 5.3.3 that breaks our qt fixtures)
+* :ghpull:`16259`: TST: something changed in pytest 5.3.3 that breaks our qt fixtures
+* :ghpull:`16238`: Backport PR #16235 on branch v3.2.x (FIX: AttributeError in TimerBase.start)
+* :ghpull:`16211`: DOC: ValidateInterval was deprecated in 3.2, not 3.1
+* :ghpull:`16224`: Backport PR #16223 on branch v3.2.x (Added DNA Features Viewer description + screenshot in docs/thirdparty/)
+* :ghpull:`16223`: Added DNA Features Viewer description + screenshot in docs/thirdparty/
+* :ghpull:`16222`: Backport PR #16212 on branch v3.2.x (Fix deprecation from #13544)
+* :ghpull:`16212`: Fix deprecation from #13544
+* :ghpull:`16207`: Backport PR #16189 on branch v3.2.x (MNT: set default canvas when un-pickling)
+* :ghpull:`16189`: MNT: set default canvas when un-pickling
+* :ghpull:`16179`: Backport PR #16175: FIX: ignore axes that aren't visible
+* :ghpull:`16175`: FIX: ignore axes that aren't visible
+* :ghpull:`16168`: Backport PR #16166 on branch v3.2.x (Add badge for citing 3.1.2)
+* :ghpull:`16148`: Backport PR #16128 on branch v3.2.x (CI: Do not use nbformat 5.0.0/5.0.1 for testing)
+* :ghpull:`16145`: Backport PR #16053 on branch v3.2.x (Fix v_interval setter)
+* :ghpull:`16128`: CI: Do not use nbformat 5.0.0/5.0.1 for testing
+* :ghpull:`16135`: Backport PR #16112 on branch v3.2.x (CI: Fail when failed to install dependencies)
+* :ghpull:`16132`: Backport PR #16126 on branch v3.2.x (TST: test_fork: Missing join)
+* :ghpull:`16124`: Backport PR #16105 on branch v3.2.x (Fix legend dragging.)
+* :ghpull:`16122`: Backport PR #16113 on branch v3.2.x (Renderer Graphviz inheritance diagrams as svg)
+* :ghpull:`16105`: Fix legend dragging.
+* :ghpull:`16113`: Renderer Graphviz inheritance diagrams as svg
+* :ghpull:`16112`: CI: Fail when failed to install dependencies
+* :ghpull:`16119`: Backport PR #16065 on branch v3.2.x (Nicer formatting of community aspects on front page)
+* :ghpull:`16074`: Backport PR #16061 on branch v3.2.x (Fix deprecation message for axes_grid1.colorbar.)
+* :ghpull:`16093`: Backport PR #16079 on branch v3.2.x (Fix restuctured text formatting)
+* :ghpull:`16094`: Backport PR #16080 on branch v3.2.x (Cleanup docstrings in backend_bases.py)
+* :ghpull:`16086`: FIX: use supported attribute to check pillow version
+* :ghpull:`16084`: Backport PR #16077 on branch v3.2.x (Fix some typos)
+* :ghpull:`16077`: Fix some typos
+* :ghpull:`16079`: Fix restuctured text formatting
+* :ghpull:`16080`: Cleanup docstrings in backend_bases.py
+* :ghpull:`16061`: Fix deprecation message for axes_grid1.colorbar.
+* :ghpull:`16006`: Ignore pos in StrCategoryFormatter.__call__ to display correct label in the preview window
+* :ghpull:`16056`: Backport PR #15864 on branch v3.2.x ([Add the info of 'sviewgui' in thirdparty package])
+* :ghpull:`15864`: Add 'sviewgui' to list of thirdparty packages
+* :ghpull:`16055`: Backport PR #16037 on branch v3.2.x (Doc: use empty ScalarMappable for colorbars with no associated image.)
+* :ghpull:`16054`: Backport PR #16048 on branch v3.2.x (Document that colorbar() takes a label kwarg.)
+* :ghpull:`16037`: Doc: use empty ScalarMappable for colorbars with no associated image.
+* :ghpull:`16048`: Document that colorbar() takes a label kwarg.
+* :ghpull:`16042`: Backport PR #16031 on branch v3.2.x (Fix docstring of hillshade().)
+* :ghpull:`16033`: Backport PR #16028 on branch v3.2.x (Prevent FigureCanvasQT_draw_idle recursively calling itself.)
+* :ghpull:`16021`: Backport PR #16007 on branch v3.2.x (Fix search on nested pages)
+* :ghpull:`16019`: Backport PR #15735 on branch v3.2.x (Cleanup some mplot3d docstrings.)
+* :ghpull:`15987`: Backport PR #15886 on branch v3.2.x (Fix Annotation using different units and different coords on x/y.)
+* :ghpull:`15886`: Fix Annotation using different units and different coords on x/y.
+* :ghpull:`15984`: Backport PR #15970 on branch v3.2.x (Process clip paths the same way as regular Paths.)
+* :ghpull:`15970`: Process clip paths the same way as regular Paths.
+* :ghpull:`15963`: Backport PR #15937 on branch v3.2.x (Don't hide exceptions in FontManager.addfont.)
+* :ghpull:`15956`: Backport PR #15901 on branch v3.2.x (Update backend_nbagg for removal of Gcf._activeQue.)
+* :ghpull:`15937`: Don't hide exceptions in FontManager.addfont.
+* :ghpull:`15959`: Backport PR #15953 on branch v3.2.x (Update donation link)
+* :ghpull:`15901`: Update backend_nbagg for removal of Gcf._activeQue.
+* :ghpull:`15954`: Backport PR #15914 on branch v3.2.x (Example for sigmoid function with horizontal lines)
+* :ghpull:`15914`: Example for sigmoid function with horizontal lines
+* :ghpull:`15930`: Backport PR #15925 on branch v3.2.x (Optimize setting units to None when they're already None.)
+* :ghpull:`15925`: Optimize setting units to None when they're already None.
+* :ghpull:`15915`: Backport PR #15903 on branch v3.2.x (Correctly handle non-affine transData in Collection.get_datalim.)
+* :ghpull:`15903`: Correctly handle non-affine transData in Collection.get_datalim.
+* :ghpull:`15908`: Backport PR #15857 on branch v3.2.x (LassoSelection shouldn't useblit on canvas not supporting blitting.)
+* :ghpull:`15857`: LassoSelection shouldn't useblit on canvas not supporting blitting.
+* :ghpull:`15905`: Backport PR #15763 on branch v3.2.x (Skip webagg test if tornado is not available.)
+* :ghpull:`15882`: Backport PR #15859 on branch v3.2.x (Doc: Move search field into nav bar)
+* :ghpull:`15868`: Backport PR #15848 on branch v3.2.x: Cleanup environment variables FAQ
+* :ghpull:`15872`: Backport PR #15869 on branch v3.2.x (Update markers docs.)
+* :ghpull:`15869`: Update markers docs.
+* :ghpull:`15867`: Backport PR #15789 on branch v3.2.x (Cleanup xticks/yticks docstrings.)
+* :ghpull:`15870`: Backport PR #15865 on branch v3.2.x (Fix a typo)
+* :ghpull:`15871`: Backport PR #15824 on branch v3.2.x (Document doc style for default values)
+* :ghpull:`15824`: Document doc style for default values
+* :ghpull:`15865`: Fix a typo
+* :ghpull:`15789`: Cleanup xticks/yticks docstrings.
+* :ghpull:`15862`: Backport PR #15851 on branch v3.2.x (ffmpeg is available on default ubuntu packages now)
+* :ghpull:`15848`: Cleanup environment variables FAQ.
+* :ghpull:`15844`: Backport PR #15841 on branch v3.2.x (DOC: specify the expected shape in the Collection.set_offset)
+* :ghpull:`15841`: DOC: specify the expected shape in the Collection.set_offset
+* :ghpull:`15837`: Backport PR #15799 on branch v3.2.x (Improve display of author names on PDF titlepage of matplotlib own docs)
+* :ghpull:`15799`: Improve display of author names on PDF titlepage of matplotlib own docs
+* :ghpull:`15831`: Backport PR #15829 on branch v3.2.x (In C extensions, use FutureWarning, not DeprecationWarning.)
+* :ghpull:`15829`: In C extensions, use FutureWarning, not DeprecationWarning.
+* :ghpull:`15818`: Backport PR #15619 on branch v3.2.x (Improve zorder demo)
+* :ghpull:`15819`: Backport PR #15601 on branch v3.2.x (Fix FontProperties conversion to/from strings)
+* :ghpull:`15601`: Fix FontProperties conversion to/from strings
+* :ghpull:`15619`: Improve zorder demo
+* :ghpull:`15810`: Backport PR #15809 on branch v3.2.x (Exclude artists from legend using label attributte)
+* :ghpull:`15809`: Exclude artists from legend using label attributte
+* :ghpull:`15808`: Backport PR #15513 on branch v3.2.x (Separate plots using #### in make_room_for_ylabel_using_axesgrid.py)
+* :ghpull:`15513`: Separate plots using #### in make_room_for_ylabel_using_axesgrid.py
+* :ghpull:`15807`: Backport PR #15791 on branch v3.2.x (Cleanup backend_bases docstrings.)
+* :ghpull:`15791`: Cleanup backend_bases docstrings.
+* :ghpull:`15803`: Backport PR #15795 on branch v3.2.x (Remove incorrect statement re2: colorbars in image tutorial.)
+* :ghpull:`15795`: Remove incorrect statement re: colorbars in image tutorial.
+* :ghpull:`15794`: Backport PR #15793 on branch v3.2.x (fix a couple typos in tutorials)
+* :ghpull:`15793`: fix a couple typos in tutorials
+* :ghpull:`15774`: Backport PR #15748 on branch v3.2.x (Fix incorrect macro in FT2Font setup.)
+* :ghpull:`15748`: Fix incorrect macro in FT2Font setup.
+* :ghpull:`15759`: Backport PR #15751 on branch v3.2.x (Modernize FAQ entry for plt.show().)
+* :ghpull:`15762`: Backport PR #15752 on branch v3.2.x (Update boxplot/violinplot faq.)
+* :ghpull:`15755`: Backport PR #15661 on branch v3.2.x (Document scope of 3D scatter depthshading.)
+* :ghpull:`15742`: Backport PR #15729 on branch v3.2.x (Catch correct parse error type for dateutil >= 2.8.1)
+* :ghpull:`15738`: Backport PR #15737 on branch v3.2.x (Fix env override in WebAgg backend test.)
+* :ghpull:`15724`: Backport PR #15718 on branch v3.2.x (Update donation link)
+* :ghpull:`15716`: Backport PR #15683 on branch v3.2.x (Cleanup dates.py docstrings.)
+* :ghpull:`15683`: Cleanup dates.py docstrings.
+* :ghpull:`15688`: Backport PR #15682 on branch v3.2.x (Make histogram_bin_edges private.)
+* :ghpull:`15682`: Make histogram_bin_edges private.
+* :ghpull:`15666`: Backport PR #15649 on branch v3.2.x (Fix searchindex.js loading when ajax fails (because e.g. CORS in embedded iframes))
+* :ghpull:`15669`: Backport PR #15654 on branch v3.2.x (Fix some broken links.)
+* :ghpull:`15660`: Backport PR #15647 on branch v3.2.x (Update some links)
+* :ghpull:`15653`: Backport PR #15623 on branch v3.2.x (Docstring for Artist.mouseover)
+* :ghpull:`15623`: Docstring for Artist.mouseover
+* :ghpull:`15634`: Backport PR #15626 on branch v3.2.x (Note minimum supported version for fontconfig.)
+* :ghpull:`15633`: Backport PR #15620 on branch v3.2.x (TST: Increase tolerance of some tests for aarch64)
+* :ghpull:`15626`: Note minimum supported version for fontconfig.
+* :ghpull:`15632`: Backport PR #15627 on branch v3.2.x (Make it easier to test various animation writers in examples.)
+* :ghpull:`15620`: TST: Increase tolerance of some tests for aarch64
+* :ghpull:`15627`: Make it easier to test various animation writers in examples.
+* :ghpull:`15618`: Backport PR #15613 on branch v3.2.x (Revert "Don't bother with manually resizing the Qt main window.")
+* :ghpull:`15613`: Revert "Don't bother with manually resizing the Qt main window."
+* :ghpull:`15593`: Backport PR #15590 on branch v3.2.x (Rename numpy to NumPy in docs.)
+* :ghpull:`15590`: Rename numpy to NumPy in docs.
+* :ghpull:`15588`: Backport PR #15478 on branch v3.2.x (Make ConciseDateFormatter obey timezone)
+* :ghpull:`15478`: Make ConciseDateFormatter obey timezone
+* :ghpull:`15583`: Backport PR #15512 on branch v3.2.x
+* :ghpull:`15584`: Backport PR #15579 on branch v3.2.x (Remove matplotlib.sphinxext.tests from __init__.py)
+* :ghpull:`15579`: Remove matplotlib.sphinxext.tests from __init__.py
+* :ghpull:`15577`: Backport PR #14705 on branch v3.2.x (Correctly size non-ASCII characters in agg backend.)
+* :ghpull:`14705`: Correctly size non-ASCII characters in agg backend.
+* :ghpull:`15572`: Backport PR #15452 on branch v3.2.x (Improve example for tick formatters)
+* :ghpull:`15570`: Backport PR #15561 on branch v3.2.x (Update thirdparty scalebar)
+* :ghpull:`15452`: Improve example for tick formatters
+* :ghpull:`15545`: Backport PR #15429 on branch v3.2.x (Fix OSX build on azure)
+* :ghpull:`15544`: Backport PR #15537 on branch v3.2.x (Add a third party package in the doc: matplotlib-scalebar)
+* :ghpull:`15561`: Update thirdparty scalebar
+* :ghpull:`15567`: Backport PR #15562 on branch v3.2.x (Improve docsting of AxesImage)
+* :ghpull:`15562`: Improve docsting of AxesImage
+* :ghpull:`15565`: Backport PR #15556 on branch v3.2.x (Fix test suite compat with ghostscript 9.50.)
+* :ghpull:`15556`: Fix test suite compat with ghostscript 9.50.
+* :ghpull:`15560`: Backport PR #15553 on branch v3.2.x (DOC: add cache-buster query string to css path)
+* :ghpull:`15552`: Backport PR #15528 on branch v3.2.x (Declutter home page)
+* :ghpull:`15554`: Backport PR #15523 on branch v3.2.x (numpydoc AxesImage)
+* :ghpull:`15523`: numpydoc AxesImage
+* :ghpull:`15549`: Backport PR #15516 on branch v3.2.x (Add logo like font)
+* :ghpull:`15543`: Backport PR #15539 on branch v3.2.x (Small cleanups to backend docs.)
+* :ghpull:`15542`: Backport PR #15540 on branch v3.2.x (axisartist tutorial fixes.)
+* :ghpull:`15537`: Add a third party package in the doc: matplotlib-scalebar
+* :ghpull:`15541`: Backport PR #15533 on branch v3.2.x (Use svg instead of png for website logo)
+* :ghpull:`15539`: Small cleanups to backend docs.
+* :ghpull:`15540`: axisartist tutorial fixes.
+* :ghpull:`15538`: Backport PR #15535 on branch v3.2.x (Avoid really long lines in event handling docs.)
+* :ghpull:`15535`: Avoid really long lines in event handling docs.
+* :ghpull:`15531`: Backport PR #15527 on branch v3.2.x (Clarify imshow() docs concerning scaling and grayscale images)
+* :ghpull:`15527`: Clarify imshow() docs concerning scaling and grayscale images
+* :ghpull:`15522`: Backport PR #15500 on branch v3.2.x (Improve antialiasing example)
+* :ghpull:`15524`: Backport PR #15499 on branch v3.2.x (Do not show path in font table example)
+* :ghpull:`15525`: Backport PR #15498 on branch v3.2.x (Simplify matshow example)
+* :ghpull:`15498`: Simplify matshow example
+* :ghpull:`15499`: Do not show path in font table example
+* :ghpull:`15521`: Backport PR #15519 on branch v3.2.x (FIX: fix anti-aliasing zoom bug)
+* :ghpull:`15500`: Improve antialiasing example
+* :ghpull:`15519`: FIX: fix anti-aliasing zoom bug
+* :ghpull:`15510`: Backport PR #15489 on branch v3.2.x (DOC: adding main nav to site)
+* :ghpull:`15495`: Backport PR #15486 on branch v3.2.x (Fixes an error in the documentation of Ellipse)
+* :ghpull:`15488`: Backport PR #15372 on branch v3.2.x (Add example for drawstyle)
+* :ghpull:`15490`: Backport PR #15487 on branch v3.2.x (Fix window not always raised in Qt example)
+* :ghpull:`15487`: Fix window not always raised in Qt example
+* :ghpull:`15372`: Add example for drawstyle
+* :ghpull:`15485`: Backport PR #15454 on branch v3.2.x (Rewrite Anscombe's quartet example)
+* :ghpull:`15483`: Backport PR #15480 on branch v3.2.x (Fix wording in [packages] section of setup.cfg)
+* :ghpull:`15454`: Rewrite Anscombe's quartet example
+* :ghpull:`15480`: Fix wording in [packages] section of setup.cfg
+* :ghpull:`15477`: Backport PR #15464 on branch v3.2.x (Remove unused code (remainder from #15453))
+* :ghpull:`15471`: Backport PR #15460 on branch v3.2.x (Fix incorrect value check in axes_grid.)
+* :ghpull:`15456`: Backport PR #15453 on branch v3.2.x (Improve example for tick locators)
+* :ghpull:`15457`: Backport PR #15450 on branch v3.2.x (API: rename DivergingNorm to TwoSlopeNorm)
+* :ghpull:`15450`: API: rename DivergingNorm to TwoSlopeNorm
+* :ghpull:`15434`: In imsave, let pnginfo have precedence over metadata.
+* :ghpull:`15445`: Backport PR #15439 on branch v3.2.x (DOC: mention discourse main page)
+* :ghpull:`15425`: Backport PR #15422 on branch v3.2.x (FIX: typo in attribute lookup)
+* :ghpull:`15449`: DOC: fix build
+* :ghpull:`15429`: Fix OSX build on azure
+* :ghpull:`15420`: Backport PR #15380 on branch v3.2.x (Update docs of BoxStyle)
+* :ghpull:`15380`: Update docs of BoxStyle
+* :ghpull:`15300`: CI: use python -m to make sure we are using the pip/pytest we want
+* :ghpull:`15414`: Backport PR #15413 on branch v3.2.x (catch OSError instead of FileNotFoundError in _get_executable_info to resolve #15399)
+* :ghpull:`15413`: catch OSError instead of FileNotFoundError in _get_executable_info to resolve #15399
+* :ghpull:`15406`: Backport PR #15347 on branch v3.2.x (Fix axes.hist bins units)
+* :ghpull:`15405`: Backport PR #15391 on branch v3.2.x (Increase fontsize in inheritance graphs)
+* :ghpull:`15347`: Fix axes.hist bins units
+* :ghpull:`15391`: Increase fontsize in inheritance graphs
+* :ghpull:`15389`: Backport PR #15379 on branch v3.2.x (Document formatting strings in the docs)
+* :ghpull:`15379`: Document formatting strings in the docs
+* :ghpull:`15386`: Backport PR #15385 on branch v3.2.x (Reword hist() doc.)
+* :ghpull:`15385`: Reword hist() doc.
+* :ghpull:`15377`: Backport PR #15357 on branch v3.2.x (Add 'step' and 'barstacked' to histogram_histtypes demo)
+* :ghpull:`15357`: Add 'step' and 'barstacked' to histogram_histtypes demo
+* :ghpull:`15366`: Backport PR #15364 on branch v3.2.x (DOC: fix typo in colormap docs)
+* :ghpull:`15362`: Backport PR #15350 on branch v3.2.x (Don't generate double-reversed cmaps ("viridis_r_r", ...).)
+* :ghpull:`15360`: Backport PR #15258 on branch v3.2.x (Don't fallback to view limits when autoscale()ing no data.)
+* :ghpull:`15350`: Don't generate double-reversed cmaps ("viridis_r_r", ...).
+* :ghpull:`15258`: Don't fallback to view limits when autoscale()ing no data.
+* :ghpull:`15299`: Backport PR #15296 on branch v3.2.x (Fix typo/bug from 18cecf7)
+* :ghpull:`15327`: Backport PR #15326 on branch v3.2.x (List of minimal versions of dependencies)
+* :ghpull:`15326`: List of minimal versions of dependencies
+* :ghpull:`15317`: Backport PR #15291 on branch v3.2.x (Remove error_msg_qt from backend_qt4.)
+* :ghpull:`15316`: Backport PR #15283 on branch v3.2.x (Don't default axes_grid colorbar locator to MaxNLocator.)
+* :ghpull:`15291`: Remove error_msg_qt from backend_qt4.
+* :ghpull:`15283`: Don't default axes_grid colorbar locator to MaxNLocator.
+* :ghpull:`15315`: Backport PR #15308 on branch v3.2.x (Doc: Add close event to list of events)
+* :ghpull:`15308`: Doc: Add close event to list of events
+* :ghpull:`15312`: Backport PR #15307 on branch v3.2.x (DOC: center footer)
+* :ghpull:`15307`: DOC: center footer
+* :ghpull:`15276`: Backport PR #15271 on branch v3.2.x (Fix font weight validation)
+* :ghpull:`15279`: Backport PR #15252 on branch v3.2.x (Mention labels and milestones in PR review guidelines)
+* :ghpull:`15252`: Mention labels and milestones in PR review guidelines
+* :ghpull:`15268`: Backport PR #15266 on branch v3.2.x (Embedding in Tk example: Fix toolbar being clipped.)
+* :ghpull:`15269`: Backport PR #15267 on branch v3.2.x (added multi-letter example to mathtext tutorial)
+* :ghpull:`15267`: added multi-letter example to mathtext tutorial
+* :ghpull:`15266`: Embedding in Tk example: Fix toolbar being clipped.
+* :ghpull:`15243`: Move some new API changes to the correct place
+* :ghpull:`15245`: Fix incorrect calls to warn_deprecated.
+* :ghpull:`15239`: Composite against white, not the savefig.facecolor rc, in print_jpeg.
+* :ghpull:`15227`: contains_point() docstring fixes
+* :ghpull:`15242`: Cleanup widgets docstrings.
+* :ghpull:`14889`: Support pixel-by-pixel alpha in imshow.
+* :ghpull:`14928`: Logit scale nonsingular
+* :ghpull:`14998`: Fix nonlinear spine positions & inline Spine._calc_offset_transform into get_spine_transform.
+* :ghpull:`15231`: Doc: Do not write default for non-existing rcParams
+* :ghpull:`15222`: Cleanup projections/__init__.py.
+* :ghpull:`15228`: Minor docstring style cleanup
+* :ghpull:`15237`: Cleanup widgets.py.
+* :ghpull:`15229`: Doc: Fix Bbox and BboxBase links
+* :ghpull:`15235`: Kill FigureManagerTk._num.
+* :ghpull:`15234`: Drop mention of msinttypes in Windows build.
+* :ghpull:`15224`: Avoid infinite loop when switching actions in qt backend.
+* :ghpull:`15230`: Doc: Remove hard-documented rcParams defaults
+* :ghpull:`15149`: pyplot.style.use() to accept pathlib.Path objects as arguments
+* :ghpull:`15220`: Correctly format floats passed to pgf backend.
+* :ghpull:`15216`: Update docstrings of contains_point(s) methods
+* :ghpull:`15209`: Exclude s-g generated files from flake8 check.
+* :ghpull:`15204`: PEP8ify some variable names.
+* :ghpull:`15196`: Force html4 writer for sphinx 2
+* :ghpull:`13544`: Improve handling of subplots spanning multiple gridspec cells.
+* :ghpull:`15194`: Trivial style fixes.
+* :ghpull:`15202`: Deprecate the renderer parameter to Figure.tight_layout.
+* :ghpull:`15195`: Fix integers being passed as length to quiver3d.
+* :ghpull:`15180`: Add some more internal links to 3.2.0 what's new
+* :ghpull:`13510`: Change Locator MAXTICKS checking to emitting a log at WARNING level.
+* :ghpull:`15184`: Mark missing_references extension as parallel read safe
+* :ghpull:`15150`: Autodetect whether pgf can use \includegraphics[interpolate].
+* :ghpull:`15163`: 3.2.0 API changes page
+* :ghpull:`15176`: What's new for 3.2.0
+* :ghpull:`11947`: Ensure streamplot Euler step is always called when going out of bounds.
+* :ghpull:`13702`: Deduplicate methods shared between Container and Artist.
+* :ghpull:`15169`: TST: verify warnings fail the test suite
+* :ghpull:`14888`: Replace some polar baseline images by check_figures_equal.
+* :ghpull:`15027`: More readability improvements on axis3d.
+* :ghpull:`15171`: Add useful error message when trying to add Slider to 3DAxes
+* :ghpull:`13775`: Doc: Scatter Hist example update
+* :ghpull:`15164`: removed a typo
+* :ghpull:`15152`: Support for shorthand hex colors.
+* :ghpull:`15159`: Follow up on #14424 for docstring
+* :ghpull:`14424`: ENH: Add argument size validation to quiver.
+* :ghpull:`15137`: DOC: add example to power limit API change note
+* :ghpull:`15144`: Improve local page contents CSS
+* :ghpull:`15143`: Restore doc references.
+* :ghpull:`15124`: Replace parameter lists with square brackets
+* :ghpull:`13077`: fix FreeType build on Azure
+* :ghpull:`15123`: Improve categorical example
+* :ghpull:`15134`: Fix missing references in doc build.
+* :ghpull:`13937`: Use PYTHONFAULTHANDLER to switch on the Python fault handler.
+* :ghpull:`13452`: Replace axis_artist.AttributeCopier by normal inheritance.
+* :ghpull:`15045`: Resize canvas when changing figure size
+* :ghpull:`15122`: Fixed app creation in qt5 backend (see #15100)
+* :ghpull:`15099`: Add lightsource parameter to bar3d
+* :ghpull:`14876`: Inline some afm parsing code.
+* :ghpull:`15119`: Deprecate a validator for a deprecated rcParam value.
+* :ghpull:`15121`: Fix Stacked bar graph example
+* :ghpull:`15113`: Cleanup layout_from_subplotspec.
+* :ghpull:`13543`: Remove zip_safe=False flag from setup.py.
+* :ghpull:`12860`: ENH: LogLocator: check for correct dimension of subs added
+* :ghpull:`14349`: Replace ValidateInterval by simpler specialized validators.
+* :ghpull:`14352`: Remove redundant is_landscape kwarg from backend_ps helpers.
+* :ghpull:`15087`: Pass gid to renderer
+* :ghpull:`14703`: Don't bother with manually resizing the Qt main window.
+* :ghpull:`14833`: Reuse TexManager implementation in convert_psfrags.
+* :ghpull:`14893`: Update layout.html for sphinx themes
+* :ghpull:`15098`: Simplify symlog range determination logic
+* :ghpull:`15112`: Cleanup legend() docstring.
+* :ghpull:`15108`: Fix doc build and resync matplotlibrc.template with actual defaults.
+* :ghpull:`14940`: Fix text kerning calculations and some FT2Font cleanup
+* :ghpull:`15082`: Privatize font_manager.JSONEncoder.
+* :ghpull:`15106`: Update docs of GridSpec
+* :ghpull:`14832`: ENH:made default tick formatter to switch to scientific notation earlier
+* :ghpull:`15086`: Style fixes.
+* :ghpull:`15073`: Add entry for blume to thirdparty package index
+* :ghpull:`15095`: Simplify _png extension by handling file open/close in Python.
+* :ghpull:`15092`: MNT: Add test for aitoff-projection
+* :ghpull:`15101`: Doc: fix typo in contour doc
+* :ghpull:`14624`: Fix axis inversion with loglocator and logitlocator.
+* :ghpull:`15088`: Fix more doc references.
+* :ghpull:`15063`: Add Comic Neue as a fantasy font.
+* :ghpull:`14867`: Propose change to PR merging policy.
+* :ghpull:`15068`: Add FontManager.addfont to register fonts at specific paths.
+* :ghpull:`13397`: Deprecate axes_grid1.colorbar (in favor of matplotlib's own).
+* :ghpull:`14521`: Move required_interactive_framework to canvas class.
+* :ghpull:`15083`: Cleanup spines example.
+* :ghpull:`14997`: Correctly set formatters and locators on removed shared axis
+* :ghpull:`15064`: Fix eps hatching in MacOS Preview
+* :ghpull:`15074`: Write all ACCEPTS markers in docstrings as comments.
+* :ghpull:`15078`: Clarify docstring of FT2Font.get_glyph_name.
+* :ghpull:`15080`: Fix cross-references in API changes < 3.0.0.
+* :ghpull:`15072`: Cleanup patheffects.
+* :ghpull:`15071`: Cleanup offsetbox.py.
+* :ghpull:`15070`: Fix cross-references in API changes < 2.0.0.
+* :ghpull:`10691`: Fix for shared axes diverging after setting tick markers
+* :ghpull:`15069`: Style fixes for font_manager.py.
+* :ghpull:`15067`: Fix cross-references in API changes < 1.0
+* :ghpull:`15061`: Fix cross-references in tutorials and FAQ
+* :ghpull:`15060`: Fix cross-references in examples.
+* :ghpull:`14957`: Documentation for using ConnectionPatch across Axes with constrained…
+* :ghpull:`15053`: Make citation bit of README less wordy
+* :ghpull:`15044`: numpydoc set_size_inches docstring
+* :ghpull:`15050`: Clarify unnecessary special handling for colons in paths.
+* :ghpull:`14797`: DOC: create a Agg figure without pyplot in buffer example
+* :ghpull:`14844`: Add citation info to README
+* :ghpull:`14884`: Do not allow canvas size to become smaller than MinSize in wx backend…
+* :ghpull:`14941`: Improvements to make_icons.py.
+* :ghpull:`15048`: DOC: more nitpick follow up
+* :ghpull:`15043`: Fix Docs: Don’t warn for unused ignores
+* :ghpull:`15025`: Re-write text wrapping logic
+* :ghpull:`14840`: Don't assume transform is valid on access to matrix.
+* :ghpull:`14862`: Make optional in docstrings optional
+* :ghpull:`15028`: Python version conf.py
+* :ghpull:`15033`: FIX: un-break nightly wheels on py37
+* :ghpull:`15046`: v3.1.x merge up
+* :ghpull:`15015`: Fix bad missing-references.json due to PR merge race condition.
+* :ghpull:`14581`: Make logscale bar/hist autolimits more consistents.
+* :ghpull:`15034`: Doc fix nitpick
+* :ghpull:`14614`: Deprecate {x,y,z}axis_date.
+* :ghpull:`14991`: Handle inherited is_separable, has_inverse in transform props detection.
+* :ghpull:`15032`: Clarify effect of axis('equal') on explicit data limits
+* :ghpull:`15031`: Update docs of GridSpec
+* :ghpull:`14106`: Describe FigureManager
+* :ghpull:`15024`: Update docs of GridSpecBase
+* :ghpull:`14906`: Deprecate some FT2Image methods.
+* :ghpull:`14963`: More Axis3D cleanup.
+* :ghpull:`15009`: Provide signatures to some C-level classes and methods.
+* :ghpull:`14968`: DOC: colormap manipulation tutorial update
+* :ghpull:`15006`: Deprecate get/set_*ticks minor positional use
+* :ghpull:`14989`: DOC:Update axes documentation
+* :ghpull:`14871`: Parametrize determinism tests.
+* :ghpull:`14768`: DOC: Enable nitpicky
+* :ghpull:`15013`: Matplotlib requires Python 3.6, which in turn requires Mac OS X 10.6+
+* :ghpull:`15012`: Fix typesetting of "GitHub"
+* :ghpull:`14954`: Cleanup polar_legend example.
+* :ghpull:`14519`: Check parameters of ColorbarBase
+* :ghpull:`14942`: Make _classic_test style a tiny patch on top of classic.
+* :ghpull:`14988`: pathlibify/fstringify setup/setupext.
+* :ghpull:`14511`: Deprecate allowing scalars for fill_between where
+* :ghpull:`14493`: Remove deprecated fig parameter form GridSpecBase.get_subplot_params()
+* :ghpull:`14995`: Further improve backend tutorial.
+* :ghpull:`15000`: Use warnings.warn, not logging.warning, in microseconds locator warning.
+* :ghpull:`14990`: Fix nonsensical transform in mixed-mode axes aspect computation.
+* :ghpull:`15002`: No need to access filesystem in test_dates.py.
+* :ghpull:`14549`: Improve backends documentation
+* :ghpull:`14774`: Fix image bbox clip.
+* :ghpull:`14978`: Typo fixes in pyplot.py
+* :ghpull:`14702`: Don't enlarge toolbar for Qt high-dpi.
+* :ghpull:`14922`: Autodetect some transform properties.
+* :ghpull:`14962`: Replace inspect.getfullargspec by inspect.signature.
+* :ghpull:`14958`: Improve docs of toplevel module.
+* :ghpull:`14926`: Save a matrix unpacking/repacking in offsetbox.
+* :ghpull:`14961`: Cleanup demo_agg_filter.
+* :ghpull:`14924`: Kill the C-level (private) RendererAgg.buffer_rgba, which returns a copy.
+* :ghpull:`14946`: Delete virtualenv faq.
+* :ghpull:`14944`: Shorten style.py.
+* :ghpull:`14931`: Deprecate some obscure rcParam synonyms.
+* :ghpull:`14947`: Fix inaccuracy re: backends in intro tutorial.
+* :ghpull:`14904`: Fix typo in secondary_axis.py example.
+* :ghpull:`14925`: Support passing spine bounds as single tuple.
+* :ghpull:`14921`: DOC: Make abbreviation of versus consistent.
+* :ghpull:`14739`: Improve indentation of Line2D properties in docstrings.
+* :ghpull:`14923`: In examples, prefer buffer_rgba to print_to_buffer.
+* :ghpull:`14908`: Make matplotlib.style.available sorted alphabetically.
+* :ghpull:`13567`: Deprecate MovieWriterRegistry cache-dirtyness system.
+* :ghpull:`14879`: Error out when unsupported kwargs are passed to Scale.
+* :ghpull:`14512`: Logit scale, changes in LogitLocator and LogitFormatter
+* :ghpull:`12415`: ENH: fig.set_size to allow non-inches units
+* :ghpull:`13783`: Deprecate disable_internet.
+* :ghpull:`14886`: Further simplify the flow of pdf text output.
+* :ghpull:`14894`: Make slowness warning for legend(loc="best") more accurate.
+* :ghpull:`14891`: Fix nightly test errors
+* :ghpull:`14895`: Fix typos
+* :ghpull:`14890`: Remove unused private helper method in mplot3d.
+* :ghpull:`14872`: Unify text layout paths.
+* :ghpull:`8183`: Allow array alpha for imshow
+* :ghpull:`13832`: Vectorize handling of stacked/cumulative in hist().
+* :ghpull:`13630`: Simplify PolarAxes.can_pan.
+* :ghpull:`14565`: Rewrite an argument check to _check_getitem
+* :ghpull:`14875`: Cleanup afm module docstring.
+* :ghpull:`14880`: Fix animation blitting for plots with shared axes
+* :ghpull:`14870`: FT2Font.get_char_index never returns None.
+* :ghpull:`13463`: Deprecate Locator.autoscale.
+* :ghpull:`13724`: ENH: anti-alias down-sampled images
+* :ghpull:`14848`: Clearer error message for plt.axis()
+* :ghpull:`14660`: colorbar(label=None) should give an empty label
+* :ghpull:`14654`: Cleanup of docstrings of scales
+* :ghpull:`14868`: Update bar stacked example to directly manipulate axes.
+* :ghpull:`14749`: Fix get_canvas_width_height() for pgf backend.
+* :ghpull:`14776`: Make ExecutableUnavailableError
+* :ghpull:`14843`: Don't try to cleanup CallbackRegistry during interpreter shutdown.
+* :ghpull:`14849`: Improve tkagg icon resolution
+* :ghpull:`14866`: changed all readme headings to verbs
+* :ghpull:`13364`: Numpyfy tick handling code in Axis3D.
+* :ghpull:`13642`: FIX: get_datalim for collection
+* :ghpull:`14860`: Stopgap fix for pandas converters in tests.
+* :ghpull:`6498`: Check canvas identity in Artist.contains.
+* :ghpull:`14707`: Add titlecolor in rcParams
+* :ghpull:`14853`: Fix typo in set_adjustable check.
+* :ghpull:`14845`: More cleanups.
+* :ghpull:`14809`: Clearer calls to ConnectionPatch.
+* :ghpull:`14716`: Use str instead of string as type in docstrings
+* :ghpull:`14338`: Simplify/pathlibify image_comparison.
+* :ghpull:`8930`: timedelta formatter
+* :ghpull:`14733`: Deprecate FigureFrameWx.statusbar & NavigationToolbar2Wx.statbar.
+* :ghpull:`14713`: Unite masked and NaN plot examples
+* :ghpull:`14576`: Let Axes3D share have_units, _on_units_changed with 2d axes.
+* :ghpull:`14575`: Make ticklabel_format work both for 2D and 3D axes.
+* :ghpull:`14834`: DOC: Webpage not formatted correctly on gallery docs
+* :ghpull:`14730`: Factor out common parts of wx event handlers.
+* :ghpull:`14727`: Fix axes aspect for non-linear, non-log, possibly mixed-scale axes.
+* :ghpull:`14835`: Only allow set_adjustable("datalim") for axes with standard data ratios.
+* :ghpull:`14746`: Simplify Arrow constructor.
+* :ghpull:`14752`: Doc changes to git setup
+* :ghpull:`14732`: Deduplicate wx configure_subplots tool.
+* :ghpull:`14715`: Use array-like in docs
+* :ghpull:`14728`: More floating_axes cleanup.
+* :ghpull:`14719`: Make Qt navtoolbar more robust against removal of either pan or zoom.
+* :ghpull:`14695`: Various small simplifications
+* :ghpull:`14745`: Replace Affine2D().scale(x, x) by Affine2D().scale(x).
+* :ghpull:`14687`: Add missing spaces after commas in docs
+* :ghpull:`14810`: Lighten icons of NavigationToolbar2QT on dark-themes
+* :ghpull:`14786`: Deprecate axis_artist.BezierPath.
+* :ghpull:`14750`: Misc. simplifications.
+* :ghpull:`14807`: API change note on automatic blitting detection for backends
+* :ghpull:`11004`: Deprecate smart_bounds handling in Axis and Spine
+* :ghpull:`14785`: Kill some never-used attributes.
+* :ghpull:`14723`: Cleanup some parameter descriptions in matplotlibrc.template
+* :ghpull:`14808`: Small docstring updates
+* :ghpull:`14686`: Inset orientation
+* :ghpull:`14805`: Simplify text_layout example.
+* :ghpull:`12052`: Make AxesImage.contains account for transforms
+* :ghpull:`11860`: Let MovieFileWriter save temp files in a new dir
+* :ghpull:`11423`: FigureCanvas Designer
+* :ghpull:`10688`: Add legend handler and artist for FancyArrow
+* :ghpull:`8321`: Added ContourSet clip_path kwarg and set_clip_path() method (#2369)
+* :ghpull:`14641`: Simplify _process_plot_var_args.
+* :ghpull:`14631`: Refactor from_levels_and_colors.
+* :ghpull:`14790`: DOC:Add link to style examples in matplotlib.style documentation
+* :ghpull:`14799`: Deprecate dates.mx2num.
+* :ghpull:`14793`: Remove sudo tag in travis
+* :ghpull:`14795`: Autodetect whether a canvas class supports blitting.
+* :ghpull:`14794`: DOC: Update the documentation of homepage of website
+* :ghpull:`14629`: Delete HTML build sources to save on artefact upload time
+* :ghpull:`14792`: Fix spelling typos
+* :ghpull:`14789`: Prefer Affine2D.translate to offset_transform in examples.
+* :ghpull:`14783`: Cleanup mlab.detrend.
+* :ghpull:`14791`: Make 'extended' and 'expanded' synonymous in font_manager
+* :ghpull:`14787`: Remove axis_artist _update, which is always a noop.
+* :ghpull:`14758`: Compiling C-ext with incorrect FreeType libs makes future compiles break
+* :ghpull:`14763`: Deprecate math_symbol_table function directive
+* :ghpull:`14762`: Decrease uses of get_canvas_width_height.
+* :ghpull:`14748`: Cleanup demo_text_path.
+* :ghpull:`14740`: Remove sudo tag in travis
+* :ghpull:`14737`: Cleanup twin axes docstrings.
+* :ghpull:`14729`: Small simplifications.
+* :ghpull:`14726`: Trivial simplification to Axis3d._get_coord_info.
+* :ghpull:`14718`: Add explanations for single character color names.
+* :ghpull:`14710`: Pin pydocstyle<4.0
+* :ghpull:`14709`: Try to improve the readability and styling of matplotlibrc.template file
+* :ghpull:`14278`: Inset axes bug and docs fix
+* :ghpull:`14478`: MNT: protect from out-of-bounds data access at the c level
+* :ghpull:`14569`: More deduplication of backend_tools.
+* :ghpull:`14652`: Soft-deprecate transform_point.
+* :ghpull:`14664`: Improve error reporting for scatter c as invalid RGBA.
+* :ghpull:`14625`: Don't double-wrap in silent_list.
+* :ghpull:`14689`: Update embedding_in_wx4 example.
+* :ghpull:`14679`: Further simplify colormap reversal.
+* :ghpull:`14667`: Move most of pytest's conf to conftest.py.
+* :ghpull:`14632`: Remove reference to old Tk/Windows bug.
+* :ghpull:`14673`: More shortening of setup.py prints.
+* :ghpull:`14678`: Fix small typo
+* :ghpull:`14680`: Format parameters in descriptions with emph instead of backticks
+* :ghpull:`14674`: Simplify colormap reversal.
+* :ghpull:`14672`: Artist tutorial fixes
+* :ghpull:`14653`: Remove some unnecessary prints from setup.py.
+* :ghpull:`14662`: Add a _check_getitem helper to go with _check_in_list/_check_isinstance.
+* :ghpull:`14666`: Update IPython's doc link in Image tutorial
+* :ghpull:`14671`: Improve readability of matplotlibrc.template
+* :ghpull:`14665`: Fix a typo in pyplot tutorial
+* :ghpull:`14616`: Use builtin round instead of np.round for scalars.
+* :ghpull:`12554`: backend_template docs and fixes
+* :ghpull:`14635`: Fix bug when setting negative limits and using log scale
+* :ghpull:`14604`: Update hist() docstring following removal of normed kwarg.
+* :ghpull:`14630`: Remove the private Tick._name attribute.
+* :ghpull:`14555`: Coding guidelines concerning the API
+* :ghpull:`14516`: Document and test _get_packed_offsets()
+* :ghpull:`14628`: matplotlib > Matplotlib in devel docs
+* :ghpull:`14627`: gitignore pip-wheel-metadta/ directory
+* :ghpull:`14612`: Update some mplot3d docs.
+* :ghpull:`14617`: Remove a Py2.4(!) backcompat fix.
+* :ghpull:`14605`: Update hist2d() docstring.
+* :ghpull:`13084`: When linking against libpng/zlib on Windows, use upstream lib names.
+* :ghpull:`13685`: Remove What's new  fancy example
+* :ghpull:`14573`: Cleanup jpl_units.
+* :ghpull:`14583`: Fix overly long lines in setupext.
+* :ghpull:`14588`: Remove [status] suppress from setup.cfg.
+* :ghpull:`14591`: Style fixes for secondary_axis.
+* :ghpull:`14594`: DOC: Make temperature scale example use a closure for easier reusability
+* :ghpull:`14447`: FIX: allow secondary axes minor locators to be set
+* :ghpull:`14567`: Fix unicode_minus + usetex.
+* :ghpull:`14351`: Remove some redundant check_in_list calls.
+* :ghpull:`14550`: Restore thumbnail of usage guide
+* :ghpull:`10222`: Use symlinks instead of copies for test result_images.
+* :ghpull:`14267`: cbook docs cleanup
+* :ghpull:`14556`: Improve @deprecated's docstring.
+* :ghpull:`14557`: Clarify how to work with threads.
+* :ghpull:`14545`: In contributing.rst, encourage kwonly args and minimizing public APIs.
+* :ghpull:`14533`: Misc. style fixes.
+* :ghpull:`14542`: Move plot_directive doc to main API index.
+* :ghpull:`14499`: Improve custom figure example
+* :ghpull:`14543`: Remove the "Developing a new backend" section from contributing guide.
+* :ghpull:`14540`: Simplify backend switching in plot_directive.
+* :ghpull:`14539`: Don't overindent enumerated list in plot_directive docstring.
+* :ghpull:`14537`: Slightly tighten the Bbox API.
+* :ghpull:`14223`: Rewrite intro to usage guide.
+* :ghpull:`14495`: Numpydocify axes_artist.py
+* :ghpull:`14529`: mpl_toolkits style fixes.
+* :ghpull:`14528`: mathtext style fixes.
+* :ghpull:`13536`: Make unit converters also handle instances of subclasses.
+* :ghpull:`13730`: Include FreeType error codes in FreeType exception messages.
+* :ghpull:`14500`: Fix pydocstyle D403 (First word of the first line should be properly capitalized) in examples
+* :ghpull:`14506`: Simplify Qt tests.
+* :ghpull:`14513`: More fixes to pydocstyle D403 (First word capitalization)
+* :ghpull:`14496`: Fix pydocstyle D208 (Docstring is over-indented)
+* :ghpull:`14347`: Deprecate rcsetup.validate_path_exists.
+* :ghpull:`14383`: Remove the ````package_data.dlls```` setup.cfg entry.
+* :ghpull:`14346`: Simplify various validators in rcsetup.
+* :ghpull:`14366`: Move test_rcparams test files inline into test_rcparams.py.
+* :ghpull:`14401`: Assume that mpl-data is in its standard location.
+* :ghpull:`14454`: Simplify implementation of svg.image_inline.
+* :ghpull:`14470`: Add _check_isinstance helper.
+* :ghpull:`14479`: fstringify backend_ps more.
+* :ghpull:`14484`: Support unicode minus with ps.useafm.
+* :ghpull:`14494`: Style fixes.
+* :ghpull:`14465`: Docstrings cleanups.
+* :ghpull:`14466`: Let SecondaryAxis inherit get_tightbbox from _AxesBase.
+* :ghpull:`13940`: Some more f-strings.
+* :ghpull:`14379`: Remove unnecessary uses of unittest.mock.
+* :ghpull:`14483`: Improve font weight guessing.
+* :ghpull:`14419`: Fix test_imshow_pil on Windows.
+* :ghpull:`14460`: canvas.blit() already defaults to blitting the full figure canvas.
+* :ghpull:`14462`: Register timeout pytest marker.
+* :ghpull:`14414`: FEATURE: Alpha channel in Gouraud triangles in the pdf backend
+* :ghpull:`13659`: Clarify behavior of the 'tight' kwarg to autoscale/autoscale_view.
+* :ghpull:`13901`: Only test png output for mplot3d.
+* :ghpull:`13338`: Replace list.extend by star-expansion or other constructs.
+* :ghpull:`14448`: Misc doc style cleanup
+* :ghpull:`14310`: Update to Bounding Box for Qt5 FigureCanvasATAgg.paintEvent()
+* :ghpull:`14380`: Inline $MPLLOCALFREETYPE/$PYTEST_ADDOPTS/$NPROC in .travis.yml.
+* :ghpull:`14413`: MAINT: small improvements to the pdf backend
+* :ghpull:`14452`: MAINT: Minor cleanup to make functions more self consisntent
+* :ghpull:`14441`: Misc. docstring cleanups.
+* :ghpull:`14440`: Interpolations example
+* :ghpull:`14402`: Prefer ``mpl.get_data_path()``, and support Paths in FontProperties.
+* :ghpull:`14420`: MAINT: Upgrade pytest again
+* :ghpull:`14423`: Fix docstring of subplots().
+* :ghpull:`14410`: Use aspect=1, not aspect=True.
+* :ghpull:`14412`: MAINT: Don't install pytest 4.6.0 on Travis
+* :ghpull:`14377`: Rewrite assert np.* tests to use numpy.testing
+* :ghpull:`14399`: Improve warning for case where data kwarg entry is ambiguous.
+* :ghpull:`14390`: Cleanup docs of bezier
+* :ghpull:`14400`: Fix to_rgba_array() for empty input
+* :ghpull:`14308`: Small clean to SymmetricalLogLocator
+* :ghpull:`14311`: travis: add c code coverage measurements
+* :ghpull:`14393`: Remove remaining unicode-strings markers.
+* :ghpull:`14391`: Remove explicit inheritance from object
+* :ghpull:`14343`: acquiring and releaseing keypresslock when textbox is being activated
+* :ghpull:`14353`: Register flaky pytest marker.
+* :ghpull:`14373`: Properly hide __has_include to support C++<17 compilers.
+* :ghpull:`14378`: Remove setup_method
+* :ghpull:`14368`: Finish removing jquery from the repo.
+* :ghpull:`14360`: Deprecate ``boxplot(..., whis="range")``.
+* :ghpull:`14376`: Simplify removal of figure patch from bbox calculations.
+* :ghpull:`14363`: Make is_natively_supported private.
+* :ghpull:`14330`: Remove remaining unittest.TestCase uses
+* :ghpull:`13663`: Kill the PkgConfig singleton in setupext.
+* :ghpull:`13067`: Simplify generation of error messages for missing libpng/freetype.
+* :ghpull:`14358`: DOC boxplot ``whis`` parameter
+* :ghpull:`14014`: Disallow figure argument for pyplot.subplot() and Figure.add_subplot()
+* :ghpull:`14350`: Use cbook._check_in_list more often.
+* :ghpull:`14348`: Cleanup markers.py.
+* :ghpull:`14345`: Use importorskip for tests depending on pytz.
+* :ghpull:`14170`: In setup.py, inline the packages that need to be installed into setup().
+* :ghpull:`14332`: Use raw docstrings instead of escaping backslashes
+* :ghpull:`14336`: Enforce pydocstyle D412
+* :ghpull:`14144`: Deprecate the 'warn' parameter to matplotlib.use().
+* :ghpull:`14328`: Remove explicit inheritance from object
+* :ghpull:`14035`: Improve properties formatting in interpolated docstrings.
+* :ghpull:`14018`: pep8ing.
+* :ghpull:`13542`: Move {setup,install}_requires from setupext.py to setup.py.
+* :ghpull:`13670`: Simplify the logic of axis().
+* :ghpull:`14046`: Deprecate checkdep_ps_distiller.
+* :ghpull:`14236`: Simplify StixFonts.get_sized_alternatives_for_symbol.
+* :ghpull:`14101`: Shorten _ImageBase._make_image.
+* :ghpull:`14246`: Deprecate public use of makeMappingArray
+* :ghpull:`13740`: Deprecate plotfile.
+* :ghpull:`14216`: Walk the artist tree when preparing for saving with tight bbox.
+* :ghpull:`14305`: Small grammatical error.
+* :ghpull:`14104`: Factor out retrieval of data relative to datapath
+* :ghpull:`14016`: pep8ify backends.
+* :ghpull:`14299`: Fix #13711 by importing cbook.
+* :ghpull:`14244`: Remove APIs deprecated in mpl3.0.
+* :ghpull:`14068`: Alternative fix for passing iterator as frames to FuncAnimation
+* :ghpull:`13711`: Deprecate NavigationToolbar2Tk.set_active.
+* :ghpull:`14280`: Simplify validate_markevery logic.
+* :ghpull:`14273`: pep8ify a couple of variable names.
+* :ghpull:`14115`: Reorganize scatter arguments parsing.
+* :ghpull:`14271`: Replace some uses of np.iterable
+* :ghpull:`14257`: Changing cmap(np.nan) to 'bad' value rather than 'under' value
+* :ghpull:`14259`: Deprecate string as color sequence
+* :ghpull:`13506`: Change colorbar for contour to have the proper axes limits...
+* :ghpull:`13494`: Add colorbar annotation example plot to gallery
+* :ghpull:`14266`: Make matplotlib.figure.AxesStack private
+* :ghpull:`14166`: Shorten usage of ``@image_comparison``.
+* :ghpull:`14240`: Merge up 31x
+* :ghpull:`14242`: Avoid a buffer copy in PillowWriter.
+* :ghpull:`9672`: Only set the wait cursor if the last draw was >1s ago.
+* :ghpull:`14224`: Update plt.show() doc
+* :ghpull:`14218`: Use stdlib mimetypes instead of hardcoding them.
+* :ghpull:`14082`: In tk backend, don't try to update mouse position after resize.
+* :ghpull:`14084`: Check number of positional arguments passed to quiver()
+* :ghpull:`14214`: Fix some docstring style issues.
+* :ghpull:`14201`: Fix E124 flake8 violations (closing bracket indentation).
+* :ghpull:`14096`:  Consistently use axs to refer to a set of Axes
+* :ghpull:`14204`: Fix various flake8 indent problems.
+* :ghpull:`14205`: Obey flake8 "don't assign a lambda, use a def".
+* :ghpull:`14198`: Remove unused imports
+* :ghpull:`14173`: Prepare to change the default pad for AxesDivider.append_axes.
+* :ghpull:`13738`: Fix TypeError when plotting stacked bar chart with decimal
+* :ghpull:`14151`: Clarify error with usetex when cm-super is not installed.
+* :ghpull:`14107`: Feature: draw percentiles in violinplot
+* :ghpull:`14172`: Remove check_requirements from setupext.
+* :ghpull:`14158`: Fix test_lazy_imports in presence of $MPLBACKEND or matplotlibrc.
+* :ghpull:`14157`: Isolate nbagg test from user ipython profile.
+* :ghpull:`14147`: Dedent overindented list in example docstring.
+* :ghpull:`14134`: Deprecate the dryrun parameter to print_foo().
+* :ghpull:`14145`: Remove warnings handling for fixed bugs.
+* :ghpull:`13977`: Always import pyplot when calling matplotlib.use().
+* :ghpull:`14131`: Make test suite fail on warnings.
+* :ghpull:`13593`: Only autoscale_view() when needed, not after every plotting call.
+* :ghpull:`13902`: Add support for metadata= and pil_kwargs= in imsave().
+* :ghpull:`14140`: Avoid backslash-quote by changing surrounding quotes.
+* :ghpull:`14132`: Move some toplevel strings into the only functions that use them.
+* :ghpull:`13708`: Annotation.contains shouldn't consider the text+arrow's joint bbox.
+* :ghpull:`13980`: Don't let margins expand polar plots to negative radii by default.
+* :ghpull:`14075`: Remove uninformative entries from glossary.
+* :ghpull:`14002`: Allow pandas DataFrames through norms
+* :ghpull:`14114`: Allow SVG Text-as-Text to Use Data Coordinates
+* :ghpull:`14120`: Remove mention of $QT_API in matplotlibrc example.
+* :ghpull:`13878`: Style fixes for floating_axes.
+* :ghpull:`14108`: Deprecate FigureCanvasMac.invalidate in favor of draw_idle.
+* :ghpull:`13879`: Clarify handling of "extreme" values in FloatingAxisArtistHelper.
+* :ghpull:`5602`: Automatic downsampling of images.
+* :ghpull:`14112`: Remove old code path in layout.html
+* :ghpull:`13959`: Scatter: make "c" and "s" argument handling more consistent.
+* :ghpull:`14110`: Simplify scatter_piecharts example.
+* :ghpull:`14111`: Trivial cleanups.
+* :ghpull:`14085`: Simplify get_current_fig_manager().
+* :ghpull:`14083`: Deprecate FigureCanvasBase.draw_cursor.
+* :ghpull:`14089`: Cleanup bar_stacked, bar_unit_demo examples.
+* :ghpull:`14063`: Add pydocstyle checks to flake8
+* :ghpull:`14077`: Fix tick label wobbling in animated Qt example
+* :ghpull:`14070`: Cleanup some pyplot docstrings.
+* :ghpull:`6280`: Added ability to offset errorbars when using errorevery.
+* :ghpull:`13679`: Fix passing iterator as frames to FuncAnimation
+* :ghpull:`14023`: Improve Unicode minus example
+* :ghpull:`14041`: Pretty-format subprocess logs.
+* :ghpull:`14038`: Cleanup path.py docstrings.
+* :ghpull:`13701`: Small cleanups.
+* :ghpull:`14020`: Better error message when trying to use Gtk3Agg backend without cairo
+* :ghpull:`14021`: Fix ax.legend Returns markup
+* :ghpull:`13986`: Support RGBA for quadmesh mode of pcolorfast.
+* :ghpull:`14009`: Deprecate compare_versions.
+* :ghpull:`14010`: Deprecate get_home()
+* :ghpull:`13932`: Remove many unused variables.
+* :ghpull:`13854`: Cleanup contour.py.
+* :ghpull:`13866`: Switch PyArg_ParseTupleAndKeywords from "es" to "s".
+* :ghpull:`13945`: Make unicode_minus example more focused.
+* :ghpull:`13876`: Deprecate factor=None in axisartist.
+* :ghpull:`13929`: Better handle deprecated rcParams.
+* :ghpull:`13851`: Deprecate setting Axis.major.locator to non-Locator; idem for Formatters
+* :ghpull:`13938`: numpydocify quiverkey.
+* :ghpull:`13936`: Pathlibify animation.
+* :ghpull:`13984`: Allow setting tick colour on 3D axes
+* :ghpull:`13987`: Deprecate mlab.{apply_window,stride_repeat}.
+* :ghpull:`13983`: Fix locator/formatter setting when removing shared Axes
+* :ghpull:`13957`: Remove many unused variables in tests.
+* :ghpull:`13981`: Test cleanups.
+* :ghpull:`13970`: Check vmin/vmax are valid when doing inverse in LogNorm
+* :ghpull:`13978`: Make normalize_kwargs more convenient for third-party use.
+* :ghpull:`13972`: Remove _process_plot_var_args.set{line,patch}_props.
+* :ghpull:`13795`: Make _warn_external correctly report warnings arising from tests.
+* :ghpull:`13885`: Deprecate axisartist.grid_finder.GridFinderBase.
+* :ghpull:`13913`: Fix string numbers in to_rgba() and is_color_like()
+* :ghpull:`13935`: Deprecate the useless switch_backend_warn parameter to matplotlib.test.
+* :ghpull:`13952`: Cleanup animation tests.
+* :ghpull:`13942`: Make Cursors an (Int)Enum.
+* :ghpull:`13953`: Unxfail a now fixed test in test_category.
+* :ghpull:`13925`: Fix passing Path to ps backend when text.usetex rc is True.
+* :ghpull:`13943`: Don't crash on str(figimage(...)).
+* :ghpull:`13944`: Document how to support unicode minus in pgf backend.
+* :ghpull:`13802`: New rcparam to set default axes title location
+* :ghpull:`13855`: ``a and b or c`` -> ``b if a else c``
+* :ghpull:`13923`: Correctly handle invalid PNG metadata.
+* :ghpull:`13926`: Suppress warnings in tests.
+* :ghpull:`13920`: Style fixes for category.py.
+* :ghpull:`13889`: Shorten docstrings by removing unneeded :class:/:func: + rewordings.
+* :ghpull:`13911`: Fix joinstyles example
+* :ghpull:`13917`: Faster categorical tick formatter.
+* :ghpull:`13918`: Make matplotlib.testing assume pytest by default, not nose.
+* :ghpull:`13894`: Check for positive number of rows and cols
+* :ghpull:`13895`: Remove unused setupext.is_min_version.
+* :ghpull:`13886`: Shorten Figure.set_size_inches.
+* :ghpull:`13859`: Ensure figsize is positive finite
+* :ghpull:`13877`: ``zeros_like(x) + y`` -> ``full_like(x, y)``
+* :ghpull:`13875`: Style fixes for grid_helper_curvelinear.
+* :ghpull:`13873`: Style fixes to grid_finder.
+* :ghpull:`13782`: Don't access internet during tests.
+* :ghpull:`13833`: Some more usage of _check_in_list.
+* :ghpull:`13834`: Cleanup FancyArrowPatch docstring
+* :ghpull:`13811`: Generate Figure method wrappers via boilerplate.py
+* :ghpull:`13797`: Move sphinxext test to matplotlib.tests like everyone else.
+* :ghpull:`13770`: broken_barh docstring
+* :ghpull:`13757`: Remove mention of "enabling fontconfig support".
+* :ghpull:`13454`: Add "c" as alias for "color" for Collections
+* :ghpull:`13756`: Reorder the logic of _update_title_position.
+* :ghpull:`13744`: Restructure boilerplate.py
+* :ghpull:`13369`: Use default colours for examples
+* :ghpull:`13697`: Delete pyplot_scales example.
+* :ghpull:`13726`: Clarify a bit the implementation of blend_hsv.
+* :ghpull:`13731`: Check for already running QApplication in Qt embedding example.
+* :ghpull:`13736`: Deduplicate docstrings and validation for set_alpha.
+* :ghpull:`13737`: Remove duplicated methods in FixedAxisArtistHelper.
+* :ghpull:`13721`: Kill pyplot docstrings that get overwritten by @docstring.copy.
+* :ghpull:`13690`: Cleanup hexbin.
+* :ghpull:`13683`: Remove axes border for examples that list styles
+* :ghpull:`13280`: Add SubplotSpec.add_subplot.
+* :ghpull:`11387`: Deprecate Axes3D.w_{x,y,z}axis in favor of .{x,y,z}axis.
+* :ghpull:`13671`: Suppress some warnings in tests.
+* :ghpull:`13657`: DOC: fail the doc build on errors, but keep going to end
+* :ghpull:`13647`: Fix FancyArrowPatch joinstyle
+* :ghpull:`13637`: BLD: parameterize python_requires
+* :ghpull:`13633`: plot_directive: Avoid warning if plot_formats doesn't contain 'png'
+* :ghpull:`13629`: Small example simplification.
+* :ghpull:`13620`: Improve watermark example
+* :ghpull:`13589`: Kill Axes._connected.
+* :ghpull:`13428`: free cart pendulum animation example
+* :ghpull:`10487`: fixed transparency bug
+* :ghpull:`13551`: Fix IndexError for pyplot.legend() when plotting empty bar chart with label
+* :ghpull:`13524`: Cleanup docs for GraphicsContextBase.{get,set}_dashes.
+* :ghpull:`13556`: Cleanup warnings handling in tests.
+* :ghpull:`8100`: Deprecate MAXTICKS, Locator.raise_if_exceeds.
+* :ghpull:`13534`: More followup to autoregistering 3d axes.
+* :ghpull:`13327`: pcolorfast simplifications.
+* :ghpull:`13532`: More use of cbook._check_in_list.
+* :ghpull:`13520`: Register 3d projection by default.
+* :ghpull:`13394`: Deduplicate some code between floating_axes and grid_helper_curvelinear.
+* :ghpull:`13527`: Make SubplotSpec.num2 never None.
+* :ghpull:`12249`: Replaced noqa-comments by using Axes3D.name instead of '3d' for proje…
+
+Issues (125):
+
+* :ghissue:`16487`: Add link to blog to front page
+* :ghissue:`16478`: The bottom parameter of plt.hist() shifts the data as well, not just the baseline
+* :ghissue:`16280`: SymLogNorm colorbar incorrect on master
+* :ghissue:`16448`: Bad interaction between shared axes and pcolormesh sticky edges
+* :ghissue:`16451`: InvertedLogTransform inherits from deprecated base
+* :ghissue:`16420`: Error when adding colorbar to pcolormesh of a boolean array
+* :ghissue:`16114`: Prose error on website (first paragraph)
+* :ghissue:`8291`: Unable to pickle.load(fig) with mpl in jupyter notebook
+* :ghissue:`16173`: Constrained_layout creates extra axes when used with subgridspec
+* :ghissue:`16127`: nbformat 5.0.0 missing schema files
+* :ghissue:`15849`: Using pandas.Timestamp in blended coordinate system of ax.annotate.
+* :ghissue:`6015`: scatterplot axis autoscale fails for small data values
+* :ghissue:`15806`: 3.2.0 may break some Cartopy tests
+* :ghissue:`15852`: Lasso selector does not show in Jupyter notebook
+* :ghissue:`15820`: Show incomplete tick labels when using mixed chinese and english characters
+* :ghissue:`15770`: DOCS 2D Line label option ``_nolegend_`` is not documented
+* :ghissue:`15332`: Type promotion error with datetime bins in hist
+* :ghissue:`15611`: BUG: Qt5Agg window size regression
+* :ghissue:`7130`: Incorrect autoscaling of polar plot limits after scatter
+* :ghissue:`15576`: Multi-line ticks cause cut-offs
+* :ghissue:`8609`: Clipped tick labels
+* :ghissue:`15517`: antialiased image check seems wrong when used on zoomed image
+* :ghissue:`13400`: Qt Embedding w/ Spyder
+* :ghissue:`14724`: drawstyle parameter of line needs example
+* :ghissue:`13619`: Importing matplotlib.animation prevents python script from executing in the background
+* :ghissue:`14270`: Secondary axis called with [0, 1] might produce exceptions in case these are invalid data
+* :ghissue:`15417`: Why is smart_bounds() being deprecated?
+* :ghissue:`9778`: Blanks in colorbar just inside of 'extend' arrowpoints when using AxesGrid
+* :ghissue:`15336`: DivergingNorm is a misleading name
+* :ghissue:`15399`: OSError: [Errno 86] Bad CPU type in executable: 'convert' on import matplotlib.animation
+* :ghissue:`15109`: matplotlib.collections inheritance diagram small/blurry
+* :ghissue:`15331`: Log Scale: FloatingPointError: underflow encountered in power
+* :ghissue:`15251`: Large memory growth with log scaling and linear ticking
+* :ghissue:`15247`: Colorbar tick placement issues with ImageGrid and LogNorm
+* :ghissue:`15306`: Footer off centre
+* :ghissue:`13485`: Matplotlib NavigationToolbar2Tk disappears when reducing window size
+* :ghissue:`15232`: DOC: Automatic default rcParam expansion creates misleading sentences
+* :ghissue:`14141`: setting spine position on a log plot fails
+* :ghissue:`15138`: Make plt.style.use accept path-like objects in addition to string
+* :ghissue:`14207`: Check if point is in path or not by contains_point
+* :ghissue:`13591`: Style issues when building the docs with (future) Sphinx 2.0
+* :ghissue:`8089`: Using Minute Locator to set x-axis ticks exceeds Locator.MAXTICKS
+* :ghissue:`15075`: sphinxext.missing_references does not specify if it supports parallel file read.
+* :ghissue:`10963`: Replace \pgfimage by \includegraphics in PGF backend
+* :ghissue:`15156`: ax.text fails with positional argument error
+* :ghissue:`14439`: hist() fails when all data points are np.nan
+* :ghissue:`15042`: How to handle sphinx nitpicky mode
+* :ghissue:`14060`: quiver(C=...) argument is not reasonably validated
+* :ghissue:`11335`: TST: testing not catching bad escape sequences in doc strings
+* :ghissue:`15040`: Wrong figure window size after calling fig.set_size_inches() repeatedly
+* :ghissue:`15100`: Issue with creating QApplication in QT backend
+* :ghissue:`14887`: kerning seems generally wrong
+* :ghissue:`14800`: default tick formatter could switch to scientific notation earlier
+* :ghissue:`14503`: Add a test for #14451
+* :ghissue:`14907`: ConnectionPatch across axes needs to be excluded from layout management
+* :ghissue:`14911`: Removing a shared axes via ``ax.remove()`` leads to an error.
+* :ghissue:`12462`: cbar.add_lines should allow manually adding lines, not just contour sets
+* :ghissue:`14796`: Show user how to use Agg buffer in example
+* :ghissue:`14883`: MinSize not respected using wx backend causes wxAssertionError. Bug fix included.
+* :ghissue:`15014`: Wrapping of text adds leading newline character if first word is long
+* :ghissue:`14918`: constrained_layout fails with hidden axis...
+* :ghissue:`14981`: Barplot call crashes when called with yscale="log" and bins with h=0
+* :ghissue:`4621`: Default bottom of Stepfilled histograms should be set according to ymin
+* :ghissue:`15030`: Doc build broken
+* :ghissue:`8093`: set_ylim not working with plt.axis('equal')
+* :ghissue:`6055`: Serious problems on the axes documentation
+* :ghissue:`9979`: Axis limits are set badly with small values in scatter().
+* :ghissue:`10842`: Text bbox empty dict should be ignored
+* :ghissue:`13698`: The default logit minor locator should not display tick labels
+* :ghissue:`14878`: plt.yscale doesn't throw warning with invalid kwarg
+* :ghissue:`5619`: Symlog linear region
+* :ghissue:`14564`: Broken string interpolation
+* :ghissue:`13668`: Add better error message to plt.axis()
+* :ghissue:`14563`: colorbar label prints "None" when label=None
+* :ghissue:`13660`: Closing a matplotlib figure with event handling occasionally causes “TypeError: isinstance()�
+* :ghissue:`13033`: 'NoneType' has no attribute '_alive' when using plt in a context manager
+* :ghissue:`13891`: Blurry app icon on macOS
+* :ghissue:`14656`: Axes title default color
+* :ghissue:`14831`: DOC: Webpage not formatted correctly on gallery docs
+* :ghissue:`13819`: Aspect ratio for not so common scales
+* :ghissue:`8878`: Setting aspect ratio for semi-log plots
+* :ghissue:`4900`: UnboundLocalError: local variable 'aspect_scale_mode' referenced before assignment
+* :ghissue:`14608`: Issue with using plt.axis('equal') with plt.polar(theta,r) plot
+* :ghissue:`12893`: [PyQt] NavigationToolbar2QT : Error when removing tools
+* :ghissue:`14670`: indicate_inset rectangles is sensitive to axis-flipping
+* :ghissue:`14362`: Add link to style examples in matplotlib.style documentation
+* :ghissue:`6295`: restore_region is not documented as a method of FigureCanvas
+* :ghissue:`14754`: Better pointer to dev docs on website
+* :ghissue:`14744`: Savefig svg fails with "Cannot cast array data from dtype('<U7') to dtype('float64') according to the rule 'safe'"
+* :ghissue:`11919`: Wrong Error Message
+* :ghissue:`6824`: Image comparison decorator: symlinks to baseline images
+* :ghissue:`12180`: Deprecate and remove pyplot.plotfile?
+* :ghissue:`14180`: ImageComparisonFailure: Image sizes do not match expected size
+* :ghissue:`14443`: Secondary axis does not show minor ticks.
+* :ghissue:`8423`: UnicodeDecodeError when making a plot using the 'classic' style and text.usetex=True
+* :ghissue:`11275`: A "TypeError" is raised if subclass inherited from "datetime" is used
+* :ghissue:`9127`: ps.useafm and axes.unicode_minus are incompatible
+* :ghissue:`7571`: matplotlib.widget.TextBox not correctly stopping keyboard shortcuts
+* :ghissue:`14370`: gcc error when building matplotlib dev from source
+* :ghissue:`14011`: TypeError on plt.subplot(figure=plt.figure())
+* :ghissue:`13676`: FuncAnimation with generator causes crash on StopIteration
+* :ghissue:`9892`: colormaps (cm) do not properly handle NaN values.
+* :ghissue:`14122`: Unexpected behavior in matplotlib.colors.to_rgba_array when passing unknown color name string
+* :ghissue:`9546`: The busy cursor is annoying in some instances
+* :ghissue:`10788`: TypeError when plotting stacked bar chart with decimal
+* :ghissue:`14146`: Saving polar plots with MiKTeX on Windows fails for some file formats
+* :ghissue:`8532`: Feature Request: draw percentiles in violinplot
+* :ghissue:`13883`: In headless mode, matplotlib.use('tkagg') only errors after importing pyplot
+* :ghissue:`13967`: Creating colorbar without artist fails with LogNorm
+* :ghissue:`12542`: The plot function of the matplotlib 2 and 3 versions is much slower than 1.5.3
+* :ghissue:`13292`: Non-sensical negative radial scale minimum autoset in polar plot
+* :ghissue:`10909`: Calling a Normalize instance with a DataFrame
+* :ghissue:`14076`: Tick label positions wobble in animated Qt example
+* :ghissue:`14007`: GTK3Agg backend raises ImportError for missing cairo dependency
+* :ghissue:`12911`: Tick mark color cannot be set on Axes3D
+* :ghissue:`12853`: Remove()ing a shared axes prevents the remaining axes from using unit-provided formatters
+* :ghissue:`13912`: ``is_color_like`` returning erroneous value on strings of integers
+* :ghissue:`13921`: − with save fig in .pgf
+* :ghissue:`13872`: ValueError message requests impossible condition
+* :ghissue:`13857`: Zero-width figure crashes libpng
+* :ghissue:`13768`: broken_barh docstring incorrect information
+* :ghissue:`13641`: ``joinstyle`` is not respected for ``FancyArrowPatch`` (either the path or the arrow heads)
+* :ghissue:`11923`: ColorbarBase fails to show if the first two values map to the same result
+* :ghissue:`11527`: Inconsistent path intersection
+* :ghissue:`13003`: IndexError thrown by pyplot.legend() when plotting empty bar chart with label
diff --git a/doc/users/prev_whats_new/github_stats_3.2.1.rst b/doc/users/prev_whats_new/github_stats_3.2.1.rst
new file mode 100644
index 000000000000..4f865dbb5429
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.2.1.rst
@@ -0,0 +1,98 @@
+.. _github-stats-3-2-1:
+
+GitHub statistics for 3.2.1 (Mar 18, 2020)
+==========================================
+
+GitHub statistics for 2020/03/03 (tag: v3.2.0) - 2020/03/18
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 11 issues and merged 52 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/49?closed=1>`__
+and `on GitHub <https://github.com/matplotlib/matplotlib/milestone/51?closed=1>`__
+
+The following 12 authors contributed 154 commits.
+
+* Amy Roberts
+* Antony Lee
+* Elliott Sales de Andrade
+* hannah
+* Hugo van Kemenade
+* Jody Klymak
+* Kyle Sunden
+* MarcoGorelli
+* Maximilian Nöthe
+* Sandro Tosi
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (52):
+
+* :ghpull:`15199`: MNT/TST: generalize check_figures_equal to work with pytest.marks
+* :ghpull:`15685`: Avoid a RuntimeError at animation shutdown with PySide2.
+* :ghpull:`15969`: Restart pgf's latex instance after bad latex inputs.
+* :ghpull:`16640`: ci: Fix Azure on v3.2.x
+* :ghpull:`16648`: Document filling of Poly3DCollection
+* :ghpull:`16649`: Fix typo in docs
+* :ghpull:`16650`: Backport PR #16649 on branch v3.2.x (Fix typo in docs)
+* :ghpull:`16651`: Docs: Change Python 2 note to past tense
+* :ghpull:`16654`: Backport PR #16651 on branch v3.2.0-doc (Docs: Change Python 2 note to past tense)
+* :ghpull:`16656`: Make test_imagegrid_cbar_mode_edge less flaky.
+* :ghpull:`16661`: added Framework :: Matplotlib  to setup
+* :ghpull:`16665`: Backport PR #16661 on branch v3.2.x (added Framework :: Matplotlib  to setup)
+* :ghpull:`16671`: Fix some readme bits
+* :ghpull:`16672`: Update CircleCI and add direct artifact link
+* :ghpull:`16682`: Avoid floating point rounding causing bezier.get_parallels to fail
+* :ghpull:`16690`: Backport PR #16682 on branch v3.2.x (Avoid floating point rounding causing bezier.get_parallels to fail)
+* :ghpull:`16693`: TST: use pytest name in naming files for check_figures_equal
+* :ghpull:`16695`: Restart pgf's latex instance after bad latex inputs.
+* :ghpull:`16705`: Backport PR #16656 on branch v3.2.x (Make test_imagegrid_cbar_mode_edge less flaky.)
+* :ghpull:`16708`: Backport PR #16671: Fix some readme bits
+* :ghpull:`16709`: Fix saving PNGs to file objects in some places
+* :ghpull:`16722`: Deprecate rcParams["datapath"] in favor of mpl.get_data_path().
+* :ghpull:`16725`: TST/CI: also try to run test_user_fonts_win32 on azure
+* :ghpull:`16734`: Disable draw_foo methods on renderer used to estimate tight extents.
+* :ghpull:`16735`: Make test_stem less flaky.
+* :ghpull:`16736`: xpdf: Set AutoRotatePages to None, not false.
+* :ghpull:`16742`: nbagg: Don't send events if manager is disconnected.
+* :ghpull:`16745`: Allow numbers to set uvc for all arrows in quiver.set_UVC, fixes #16743
+* :ghpull:`16751`: Backport PR #16742 on branch v3.2.x (nbagg: Don't send events if manager is disconnected.)
+* :ghpull:`16752`: ci: Disallow pytest 5.4.0, which is crashing.
+* :ghpull:`16753`: Backport #16752 to v3.2.x
+* :ghpull:`16760`: Backport PR #16735 on branch v3.2.x (Make test_stem less flaky.)
+* :ghpull:`16761`: Backport PR #16745 on branch v3.2.x (Allow numbers to set uvc for all arrows in quiver.set_UVC, fixes #16743)
+* :ghpull:`16763`: Backport PR #16648 on branch v3.2.x (Document filling of Poly3DCollection)
+* :ghpull:`16764`: Backport PR #16672 on branch v3.2.0-doc
+* :ghpull:`16765`: Backport PR #16736 on branch v3.2.x (xpdf: Set AutoRotatePages to None, not false.)
+* :ghpull:`16766`: Backport PR #16734 on branch v3.2.x (Disable draw_foo methods on renderer used to estimate tight extents.)
+* :ghpull:`16767`: Backport PR #15685 on branch v3.2.x (Avoid a RuntimeError at animation shutdown with PySide2.)
+* :ghpull:`16768`: Backport PR #16725 on branch v3.2.x (TST/CI: also try to run test_user_fonts_win32 on azure)
+* :ghpull:`16770`: Fix tuple markers
+* :ghpull:`16779`: Documentation: make instructions for documentation contributions easier to find, add to requirements for building docs
+* :ghpull:`16784`: Update CircleCI URL for downloading humor-sans.ttf.
+* :ghpull:`16790`: Backport PR #16784 on branch v3.2.x (Update CircleCI URL for downloading humor-sans.ttf.)
+* :ghpull:`16791`: Backport PR #16770 on branch v3.2.x (Fix tuple markers)
+* :ghpull:`16794`: DOC: Don't mention drawstyle in ``set_linestyle`` docs.
+* :ghpull:`16795`: Backport PR #15199 on branch v3.2.x (MNT/TST: generalize check_figures_equal to work with pytest.marks)
+* :ghpull:`16797`: Backport #15589 and #16693, fixes for check_figures_equal
+* :ghpull:`16799`: Backport PR #16794 on branch v3.2.0-doc (DOC: Don't mention drawstyle in ``set_linestyle`` docs.)
+* :ghpull:`16800`: Fix check_figures_equal for tests that use its fixtures.
+* :ghpull:`16803`: Fix some doc issues
+* :ghpull:`16806`: Backport PR #16803 on branch v3.2.0-doc (Fix some doc issues)
+* :ghpull:`16809`: Backport PR #16779 on branch v3.2.0-doc (Documentation: make instructions for documentation contributions easier to find, add to requirements for building docs)
+
+Issues (11):
+
+* :ghissue:`12820`: [Annotations] ValueError: lines do not intersect when computing tight bounding box containing arrow with filled paths
+* :ghissue:`16538`: xpdf distiller seems broken
+* :ghissue:`16624`: Azure pipelines are broken on v3.2.x
+* :ghissue:`16633`: Wrong drawing Poly3DCollection
+* :ghissue:`16645`: Minor typo in API document of patches.ConnectionPatch
+* :ghissue:`16670`: BLD: ascii codec decode on 3.2.0 in non-UTF8 locales
+* :ghissue:`16704`: 3.2.0: ``setup.py clean`` fails with ``NameError: name 'long_description' is not defined``
+* :ghissue:`16721`: nbAgg backend does not allow saving figures as png
+* :ghissue:`16731`: PGF backend + savefig.bbox results in I/O error in 3.2
+* :ghissue:`16743`: Breaking change in 3.2: quiver.set_UVC does not support single numbers any more
+* :ghissue:`16801`: Doc: figure for colormaps off
diff --git a/doc/users/prev_whats_new/github_stats_3.2.2.rst b/doc/users/prev_whats_new/github_stats_3.2.2.rst
new file mode 100644
index 000000000000..9026d518ce4d
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.2.2.rst
@@ -0,0 +1,167 @@
+.. _github-stats-3-2-2:
+
+GitHub statistics for 3.2.2 (Jun 17, 2020)
+==========================================
+
+GitHub statistics for 2020/03/18 (tag: v3.2.1) - 2020/06/17
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 34 issues and merged 92 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/52?closed=1>`__
+
+The following 19 authors contributed 183 commits.
+
+* Antony Lee
+* Ben Root
+* Clemens Brunner
+* David Stansby
+* Elliott Sales de Andrade
+* Eric Firing
+* Eric Wieser
+* hannah
+* Jody Klymak
+* Lawrence D'Anna
+* Leo Singer
+* Luke Davis
+* Matt Newville
+* Max
+* Ryan May
+* Sidharth Bansal
+* Stefan Mitic
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (92):
+
+* :ghpull:`17655`: Auto backport of pr 17564 on v3.2.x
+* :ghpull:`17564`: FIX: correctly handle large arcs
+* :ghpull:`17641`: Qt backports
+* :ghpull:`17640`: More qt fractional DPI fixes
+* :ghpull:`17638`: V3.2.1 doc
+* :ghpull:`15656`: Support fractional HiDpi scaling with Qt backends
+* :ghpull:`17600`: FIX: work with PyQt 5.15
+* :ghpull:`17598`: DOC: remove banner
+* :ghpull:`17618`: Doc event loop
+* :ghpull:`17614`: DOC: Remove duplicated line.
+* :ghpull:`17611`: Backport #17606 to v3.2.x
+* :ghpull:`17609`: Backport PR #17602: FIX: propagate _is_saving state when changing can…
+* :ghpull:`17606`: Move codecov.yml to .github.
+* :ghpull:`17602`: FIX: propagate _is_saving state when changing canvases
+* :ghpull:`17605`: Backport PR #17560: FIX: do not let no-op monkey patches to renderer …
+* :ghpull:`17601`: Backport PR #16948 on branch v3.2.x (solution: All subclasses of LocationEvent could be used in cbook.callbacks before being fully initialized - issue 15139)
+* :ghpull:`17560`: FIX: do not let no-op monkey patches to renderer leak out
+* :ghpull:`16948`: solution: All subclasses of LocationEvent could be used in cbook.callbacks before being fully initialized - issue 15139
+* :ghpull:`17588`: Backport PR #17565: FIX: support Qt 5.15
+* :ghpull:`17593`: Backport PR #17587 on branch v3.2.x (Add a docstring to toolkit's BezierPath.__init__.)
+* :ghpull:`17587`: Add a docstring to toolkit's BezierPath.__init__.
+* :ghpull:`17565`: FIX: support Qt 5.15
+* :ghpull:`17562`: Backport PR #17470 on branch v3.2.x (FIX: add guardrails for too big tk figures)
+* :ghpull:`17470`: FIX: add guardrails for too big tk figures
+* :ghpull:`17553`: Backport PR #17552 on branch v3.2.x (ci: Add xcb libraries that were removed from PyQt5.)
+* :ghpull:`17552`: ci: Add xcb libraries that were removed from PyQt5.
+* :ghpull:`17533`: Backport PR #17408 on branch v3.2.x
+* :ghpull:`17408`: FIX: cancel pending autoscale on manually setting limits
+* :ghpull:`17501`: Backport PR #17499: Fix scatter singlecolor
+* :ghpull:`17499`: Fix scatter singlecolor
+* :ghpull:`17468`: v3.2.x: Fix leaks in C++ code
+* :ghpull:`17457`: Backport PR #17391 on branch v3.2.x
+* :ghpull:`17391`: tk/wx: Fix saving after the window is closed
+* :ghpull:`17435`: Backport PR #17422: Unstale viewlims before draw()ing polar axes.
+* :ghpull:`17422`: Unstale viewlims before draw()ing polar axes.
+* :ghpull:`17407`: FIX: don't try to use non-standard functions on standard status bars
+* :ghpull:`17346`: Backport #17084 and #17210 to v3.2.x
+* :ghpull:`17084`: Fix macosx segfault
+* :ghpull:`17300`: Backport PR #17263 on branch v3.2.x (you can't call CGDataProviderCreateWithData on a stack pointer)
+* :ghpull:`17263`: you can't call CGDataProviderCreateWithData on a stack pointer
+* :ghpull:`17272`: Backport PR #17271 on branch v3.2.x (MNT: do not try to import xml.etree.cElementTree)
+* :ghpull:`17271`: MNT: do not try to import xml.etree.cElementTree
+* :ghpull:`17268`: Backport PR #17261 on branch v3.2.x (avoid calling wx.Bitmap() if width or height is zero)
+* :ghpull:`17261`: avoid calling wx.Bitmap() if width or height is zero
+* :ghpull:`17257`: Backport eps work
+* :ghpull:`17255`: Fix eps + usetex combo.
+* :ghpull:`17254`: Backport PR #17252 on branch v3.2.x (Fix bug where matplotlib.style('default') resets the backend)
+* :ghpull:`17252`: Fix bug where matplotlib.style('default') resets the backend
+* :ghpull:`17250`: Merge pull request #17206 from jklymak/fix-bypass-inverse-collection
+* :ghpull:`17206`: FIX: bypass inverse in collection
+* :ghpull:`17241`: Backport PR #17240 on branch v3.2.x (CI: Download wx wheels for the correct Ubuntu version.)
+* :ghpull:`17240`: CI: Download wx wheels for the correct Ubuntu version.
+* :ghpull:`17210`: Fix missing attribute in _SVGConverter.
+* :ghpull:`17186`: Backport PR #17131 on branch v3.2.x
+* :ghpull:`17188`: Backport PR #16958: MAINT: Replace uses of tostring with tobytes
+* :ghpull:`17187`: Backport PR #17076: Fix SyntaxErrors when running setup in old Python
+* :ghpull:`16913`: Fix use of psfrags in ps backend + usetex.
+* :ghpull:`16476`: Fix baseline alignment when using usetex.
+* :ghpull:`17131`: BUG: Fix formatting error in GridSpec.__repr__
+* :ghpull:`17132`: Backport PR #17126 on branch v3.2.x (Remove Python2/3 info box)
+* :ghpull:`17126`: Remove Python2/3 info box
+* :ghpull:`17076`: Fix SyntaxErrors when running setup in old Python
+* :ghpull:`17071`: Backport PR #17065 on branch v3.2.x (Fix macOS CI test failure)
+* :ghpull:`17065`: Fix macOS CI test failure
+* :ghpull:`17051`: Backport PR #17045: Fix missing-references.json.
+* :ghpull:`17045`: Fix missing-references.json.
+* :ghpull:`17020`: Merge pull request #17017 from jklymak/fix-blended-transform
+* :ghpull:`17017`: FIX: force blended transforms with data to be in data space
+* :ghpull:`16989`: Backport PR #16980 on branch v3.2.x (Correctly disable more drawing methods in tight_bboxing renderer.)
+* :ghpull:`16980`: Correctly disable more drawing methods in tight_bboxing renderer.
+* :ghpull:`16974`: Backport PR #16940 on branch v3.2.x (DOC/FIX: clarify the docs for check_figures_equal)
+* :ghpull:`16979`: Backport PR #16970 on branch v3.2.x (tk: Don't resize toolbar during resize event.)
+* :ghpull:`16970`: tk: Don't resize toolbar during resize event.
+* :ghpull:`16940`: DOC/FIX: clarify the docs for check_figures_equal
+* :ghpull:`16969`: Backport PR #16966 on branch v3.2.x (Fix animation writer fallback.)
+* :ghpull:`16966`: Fix animation writer fallback.
+* :ghpull:`16958`: MAINT: Replace uses of tostring with tobytes
+* :ghpull:`16950`: Backport PR #16949 on branch v3.2.x (TST: Don't modify actual pyplot file for boilerplate test.)
+* :ghpull:`16949`: TST: Don't modify actual pyplot file for boilerplate test.
+* :ghpull:`16932`: Backport PR #16929 on branch v3.2.x (tk: Resize the canvas, not the figure.)
+* :ghpull:`16929`: tk: Resize the canvas, not the figure.
+* :ghpull:`16880`: Backport PR #16870: Unbreak CI by xfailing wxAgg test on macOS
+* :ghpull:`16870`: Unbreak CI by xfailing wxAgg test on macOS
+* :ghpull:`16869`: Backport PR #16867 on branch v3.2.x (BLD: Auto-trigger macOS/Linux wheels on tags.)
+* :ghpull:`16867`: BLD: Auto-trigger macOS/Linux wheels on tags.
+* :ghpull:`16852`: Backport PR #16851 on branch v3.2.x (DOC: Fix docstring of Axes.secondary_yaxis.)
+* :ghpull:`16855`: Fix typo in deprecation warning
+* :ghpull:`16851`: DOC: Fix docstring of Axes.secondary_yaxis.
+* :ghpull:`16842`: Backport PR #16835 on branch v3.2.x (Don't forget to export isdeleted on Qt4.)
+* :ghpull:`16835`: Don't forget to export isdeleted on Qt4.
+* :ghpull:`15695`: Define \mathdefault as a noop in the usetex preamble.
+* :ghpull:`14694`: Vectorize Arc.draw.
+
+Issues (34):
+
+* :ghissue:`17547`: Arcs with large radii in small
+* :ghissue:`17440`: Low quality window plots on hidpi display
+* :ghissue:`17104`: input() caused _tkinter.TclError: invalid command name XXX after plot.close()
+* :ghissue:`17613`: Matplotlib.pdf duplication
+* :ghissue:`15139`: All subclasses of LocationEvent could be used in cbook.callbacks before being fully initialized
+* :ghissue:`17004`: Output regression in 3.2 that affects SymPy's plotting
+* :ghissue:`17599`: Saving issue with pdf backend
+* :ghissue:`17542`: Matplotlib 3.2.1 savefig empty image when fig size matches data size exactly
+* :ghissue:`17594`: Cannot use Qt4Agg backend in mpl 3.2.1
+* :ghissue:`17460`: set_size_inches with a width over 14090 crashes Xorg
+* :ghissue:`17331`: Surprising/changed axis limit (autoscale) behavior
+* :ghissue:`17423`: Scatter produce multiple colors for a single RGB/RGBA input
+* :ghissue:`17385`: Matplotlib memory leaks when save figure in a file with qt5 backend
+* :ghissue:`15474`: Memory leak with log scale in pcolorfast, pcolormesh, imshow ...
+* :ghissue:`17388`: savefig error: tkinter.TclError: invalid command name "."
+* :ghissue:`16909`: plot save and plot show
+* :ghissue:`17085`: set_function not working properly in backend_wx
+* :ghissue:`17418`: Issue rendering polar plot (agg backend?) with rorigin set
+* :ghissue:`17061`: Segmentation fault with macosx backend
+* :ghissue:`17253`: EPS + usetex is broken
+* :ghissue:`16700`: Deprecation warnings from stylelib
+* :ghissue:`17203`: Subplots using bad axis limits in 3.2
+* :ghissue:`16898`: EPS and ``usetex`` give blank output
+* :ghissue:`16409`: Confusing error on fully commented-out usetex strings
+* :ghissue:`17075`: Installation error downloading jquery on python3 on Ubuntu
+* :ghissue:`17037`: Travis Failing in many PRs
+* :ghissue:`17033`: Using a ``TextBox`` in current master produces a seemingly unrelated warning.
+* :ghissue:`17016`: Issues with autoscaling and transforms with 3.2+
+* :ghissue:`16978`: savefig("myplot.svgz", bbox_inches="tight") fails
+* :ghissue:`16965`: FuncAnimation.save throws TypeError
+* :ghissue:`16916`: check_figures_equal regression from 3.2.0 to 3.2.1
+* :ghissue:`10566`: blocking UI functions cause figure size to change
+* :ghissue:`10083`: Wrong figure height after set_size_inches within event handler
+* :ghissue:`16834`: Error importing FigureCanvas
diff --git a/doc/users/prev_whats_new/github_stats_3.3.0.rst b/doc/users/prev_whats_new/github_stats_3.3.0.rst
new file mode 100644
index 000000000000..c2e6cd132c2d
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.3.0.rst
@@ -0,0 +1,1430 @@
+.. _github-stats-3-3-0:
+
+GitHub statistics for 3.3.0 (Jul 16, 2020)
+==========================================
+
+GitHub statistics for 2020/03/03 (tag: v3.2.0) - 2020/07/16
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 198 issues and merged 1066 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/48?closed=1>`__
+
+The following 144 authors contributed 3829 commits.
+
+* Adam
+* Adam Paszke
+* Adam Ruszkowski
+* Alex Henrie
+* Alexander Rudy
+* Amy Roberts
+* andrzejnovak
+* Antony Lee
+* Ardie Orden
+* Asaf Maman
+* Avni Sharma
+* Ben Root
+* Bruno Beltran
+* Bruno Pagani
+* chaoyi1
+* Cho Yin Yong
+* Chris
+* Christoph Pohl
+* Cimarron Mittelsteadt
+* Clemens Brunner
+* Dan Hickstein
+* Dan Stromberg
+* David Chudzicki
+* David Stansby
+* Dennis Tismenko
+* Dominik Schmidt
+* donchanee
+* Dora Fraeman Caswell
+* Edoardo Pizzigoni
+* Elan Ernest
+* Elliott Sales de Andrade
+* Emlyn Price
+* Eric Firing
+* Eric Larson
+* Eric Relson
+* Eric Wieser
+* Fabien Maussion
+* Frank Sauerburger
+* Gal Avineri
+* Generated images
+* Georg Raiser
+* Gina
+* Greg Lucas
+* hannah
+* Hanno Rein
+* Harshal Prakash Patankar
+* henryhu123
+* Hugo van Kemenade
+* Ian Hincks
+* ImportanceOfBeingErnest
+* Inception95
+* Ingo Fründ
+* Jake Lee
+* Javad
+* jbhopkins
+* Jeroonk
+* jess
+* Jess Tiu
+* jfbu
+* Jiahao Chen
+* Jody Klymak
+* Jon Haitz Legarreta Gorroño
+* Jose Manuel Martí
+* Joshua Taillon
+* Juanjo Bazán
+* Julian Mehne
+* Kacper Kowalik (Xarthisius)
+* Kevin Mader
+* kolibril13
+* kopytjuk
+* ksafran
+* Kyle Sunden
+* Larry Bradley
+* Laurent Thomas
+* Lawrence D'Anna
+* Leo Singer
+* lepuchi
+* Luke Davis
+* Manan Kevadiya
+* Manuel Nuno Melo
+* Maoz Gelbart
+* Marat K
+* Marco Gorelli
+* Matt Newville
+* Matthias Bussonnier
+* Max
+* Max Chen
+* Max Humber
+* Maximilian Nöthe
+* Michaël Defferrard
+* Michele Mastropietro
+* mikhailov
+* MuhammadFarooq1234
+* Mykola Dvornik
+* Nelle Varoquaux
+* Nelson Darkwah Oppong
+* Nick Pope
+* Nico Schlömer
+* Nikita Kniazev
+* Olivier Castany
+* Omar Chehab
+* Paul Gierz
+* Paul Hobson
+* Paul Ivanov
+* Pavel Fedin
+* Peter Würtz
+* Philippe Pinard
+* pibion
+* Po
+* Pradeep Reddy Raamana
+* Ram Rachum
+* ranjanm
+* Raphael
+* Ricardo Mendes
+* Riccardo Di Maio
+* Ryan May
+* Sadie Louise Bartholomew
+* Sairam Pillai
+* Samesh Lakhotia
+* SamSchott
+* Sandro Tosi
+* Siddhesh Poyarekar
+* Sidharth Bansal
+* Snowhite
+* SojiroFukuda
+* Spencer McCoubrey
+* Stefan Mitic
+* Stephane Raynaud
+* Steven G. Johnson
+* Steven Munn
+* Ted Drain
+* Terence Honles
+* Thomas A Caswell
+* Thomas Robitaille
+* Till Stensitzki
+* Tim Hoffmann
+* Todd Jennings
+* Tyrone Xiong
+* Umar Javed
+* Venkada
+* vishalBindal
+* Vitaly Buka
+* Yue Zhihan
+* Zulko
+
+GitHub issues and pull requests:
+
+Pull Requests (1066):
+
+* :ghpull:`17943`: Backport PR #17942 on branch v3.3.x (Increase heading level for 3.3 What's New)
+* :ghpull:`17942`: Increase heading level for 3.3 What's New
+* :ghpull:`17941`: Backport PR #17938 on branch v3.3.x (Don't allow 1D lists as subplot_moasic layout.)
+* :ghpull:`17940`: Backport PR #17885 on branch v3.3.x (BF: ignore CLOSEPOLY after NaN in PathNanRemover)
+* :ghpull:`17937`: Backport PR #17877 on branch v3.3.x (Fix drawing zoom rubberband on GTK backends.)
+* :ghpull:`17938`: Don't allow 1D lists as subplot_moasic layout.
+* :ghpull:`17885`: BF: ignore CLOSEPOLY after NaN in PathNanRemover
+* :ghpull:`17877`: Fix drawing zoom rubberband on GTK backends.
+* :ghpull:`17933`: Backport PR #17858 on branch v3.3.x (Refresh what's new page for 3.3.0)
+* :ghpull:`17858`: Refresh what's new page for 3.3.0
+* :ghpull:`17919`: Backport PR #17913 on branch v3.3.x (Revert using SVG inheritance diagrams)
+* :ghpull:`17913`: Revert using SVG inheritance diagrams
+* :ghpull:`17911`: Backport PR #17907 on branch v3.3.x (Fix release() method name in macosx backend)
+* :ghpull:`17907`: Fix release() method name in macosx backend
+* :ghpull:`17903`: Backport PR #17859 on branch v3.3.x (API: resolve unset vmin / vmax in all ScalarMapple based methods)
+* :ghpull:`17859`: API: resolve unset vmin / vmax in all ScalarMapple based methods
+* :ghpull:`17898`: Backport PR #17882 on branch v3.3.x (Fix FFMpegBase.isAvailable with detached terminals.)
+* :ghpull:`17882`: Fix FFMpegBase.isAvailable with detached terminals.
+* :ghpull:`17881`: Backport PR #17871 on branch v3.3.x (Mention single char colors shading in more places)
+* :ghpull:`17871`: Mention single char colors shading in more places
+* :ghpull:`17872`: Backport PR #17800 on branch v3.3.x (Increase tolerance for alternate architectures)
+* :ghpull:`17800`: Increase tolerance for alternate architectures
+* :ghpull:`17861`: Revert "Fix linewidths and colors for scatter() with unfilled markers"
+* :ghpull:`17864`: Backport PR #17862 on branch v3.3.x (CI: Install, or upgrade, Python 3 on homebrew.)
+* :ghpull:`17846`: Backport PR #17844 on branch v3.3.x (Explain why Qt4 backends are deprecated)
+* :ghpull:`17844`: Explain why Qt4 backends are deprecated
+* :ghpull:`17833`: Backport PR #17831 on branch v3.3.x (BLD: default to system freetype on AIX)
+* :ghpull:`17831`: BLD: default to system freetype on AIX
+* :ghpull:`17823`: Backport PR #17821 on branch v3.3.x (FIX: Keep lists of lists of one scalar each 2D in _reshape_2D)
+* :ghpull:`17821`: FIX: Keep lists of lists of one scalar each 2D in _reshape_2D
+* :ghpull:`17811`: Backport PR #17797 on branch v3.3.x (Fix running contour's test_internal_cpp_api directly.)
+* :ghpull:`17812`: Backport PR #17772 on branch v3.3.x (Partially fix rubberbanding in GTK3.)
+* :ghpull:`17815`: Backport PR #17814 on branch v3.3.x (Don't duplicate deprecated parameter addendum.)
+* :ghpull:`17814`: Don't duplicate deprecated parameter addendum.
+* :ghpull:`17772`: Partially fix rubberbanding in GTK3.
+* :ghpull:`17797`: Fix running contour's test_internal_cpp_api directly.
+* :ghpull:`17809`: Backport PR #17801 on branch v3.3.x (BUG: Fix implementation of _is_closed_polygon)
+* :ghpull:`17801`: BUG: Fix implementation of _is_closed_polygon
+* :ghpull:`17796`: Backport PR #17764 on branch v3.3.x (FIX: be more careful about not importing pyplot early)
+* :ghpull:`17795`: Backport PR #17781 on branch v3.3.x (Fix limit setting after plotting empty data)
+* :ghpull:`17764`: FIX: be more careful about not importing pyplot early
+* :ghpull:`17781`: Fix limit setting after plotting empty data
+* :ghpull:`17787`: Backport PR #17784 on branch v3.3.x (Allow passing empty list of ticks to FixedLocator)
+* :ghpull:`17784`: Allow passing empty list of ticks to FixedLocator
+* :ghpull:`17766`: Backport PR #17752 on branch v3.3.x (Numpydoc-ify various functions)
+* :ghpull:`17752`: Numpydoc-ify various functions
+* :ghpull:`17762`: Backport PR #17742 on branch v3.3.x (Update tricontour[f] docs)
+* :ghpull:`17742`: Update tricontour[f] docs
+* :ghpull:`17760`: Backport PR #17756 on branch v3.3.x (Fix tk tooltips for dark themes.)
+* :ghpull:`17756`: Fix tk tooltips for dark themes.
+* :ghpull:`17747`: Backport PR #17731 on branch v3.3.x ("Fix" tight_layout for template backend.)
+* :ghpull:`17731`: "Fix" tight_layout for template backend.
+* :ghpull:`17739`: Backport PR #17734 on branch v3.3.x (Oversample thumbnail x2)
+* :ghpull:`17734`: Oversample thumbnail x2
+* :ghpull:`17738`: Backport PR #17729 on branch v3.3.x (Fix type doc for scroll event "step" attribute.)
+* :ghpull:`17729`: Fix type doc for scroll event "step" attribute.
+* :ghpull:`17724`: Backport PR #17720 on branch v3.3.x (Fix check for manager = None.)
+* :ghpull:`17720`: Fix check for manager = None.
+* :ghpull:`17719`: Backport PR #17693 on branch v3.3.x (DOC: Add svg2pdf converter for generating PDF docs.)
+* :ghpull:`17693`: DOC: Add svg2pdf converter for generating PDF docs.
+* :ghpull:`17718`: Backport PR #17715 on branch v3.3.x (Clarify gridspec error message for non-integer inputs.)
+* :ghpull:`17717`: Backport PR #17705 on branch v3.3.x (Keep cachedRenderer as None when pickling Figure.)
+* :ghpull:`17715`: Clarify gridspec error message for non-integer inputs.
+* :ghpull:`17705`: Keep cachedRenderer as None when pickling Figure.
+* :ghpull:`17701`: Backport PR #17687 on branch v3.3.x (Mention keyboard modifiers in toolbar tooltip texts.)
+* :ghpull:`17687`: Mention keyboard modifiers in toolbar tooltip texts.
+* :ghpull:`17698`: Backport PR #17686 on branch v3.3.x (Fix tooltip for wx toolbar.)
+* :ghpull:`17686`: Fix tooltip for wx toolbar.
+* :ghpull:`17692`: Backport PR #17680 on branch v3.3.x (MNT: migrate away from deprecated c-api)
+* :ghpull:`17680`: MNT: migrate away from deprecated c-api
+* :ghpull:`17688`: Backport PR #17676 on branch v3.3.x (FIX: correctly process the tick label size)
+* :ghpull:`17676`: FIX: correctly process the tick label size
+* :ghpull:`17677`: Backport PR #17664 on branch v3.3.x (Clarify docs of AutoDateLocator.intervald)
+* :ghpull:`17678`: Backport PR #17665 on branch v3.3.x (Document that some single char colors are shaded)
+* :ghpull:`17679`: Backport PR #17675 on branch v3.3.x (DOC: specify that the LaTeX installation needs to include cm-super)
+* :ghpull:`17675`: DOC: specify that the LaTeX installation needs to include cm-super
+* :ghpull:`17665`: Document that some single char colors are shaded
+* :ghpull:`17664`: Clarify docs of AutoDateLocator.intervald
+* :ghpull:`17672`: Backport PR #17668 on branch v3.3.x (Don't pass "wrong" ``indent=False`` in SVG generation.)
+* :ghpull:`17671`: Backport PR #17667 on branch v3.3.x (Don't linewrap css in svg header.)
+* :ghpull:`17668`: Don't pass "wrong" ``indent=False`` in SVG generation.
+* :ghpull:`17667`: Don't linewrap css in svg header.
+* :ghpull:`17666`: Prepare for 3.3.0 rc1
+* :ghpull:`17663`: DOC: update the gh stats for v3.3.0
+* :ghpull:`17656`: Fix default colouring of Shadows
+* :ghpull:`17657`: V3.2.x mergeup
+* :ghpull:`17623`: Add a flag for disabling LTO.
+* :ghpull:`17569`: Delay \usepackage{textcomp} until after the custom tex preamble.
+* :ghpull:`17416`: Reorder NavigationToolbar2 methods.
+* :ghpull:`17604`: DOC: Clarify offset notation and scientific notation
+* :ghpull:`17617`: Rewrite pdf test to use check_figures_equal.
+* :ghpull:`17654`: Small fixes to recent What's New
+* :ghpull:`17649`: MNT: make _setattr_cm more forgiving
+* :ghpull:`17644`: Doc 33 whats new consolidation
+* :ghpull:`17647`: Fix example in docstring of cbook._unfold.
+* :ghpull:`10187`: DOC: add a blitting tutorial
+* :ghpull:`17471`: Removed idiomatic constructs from interactive figures docs
+* :ghpull:`17639`: DOC: Update colormap deprecation warning to use Python's copy function.
+* :ghpull:`17223`: Warn on invalid savefig keyword arguments
+* :ghpull:`17625`: Give _DummyAxis instances a __name__
+* :ghpull:`17636`: Fix image vlim clipping again
+* :ghpull:`17635`: Fix autoscaling with tiny sticky values.
+* :ghpull:`17620`: MNT: make _setattr_cm more conservative
+* :ghpull:`17621`: FIX: restore ability to pass a tuple to axes_class in axes_grid
+* :ghpull:`16603`: axes collage
+* :ghpull:`17622`: Fix typo in description of savefig.bbox.
+* :ghpull:`17619`: Skip test_tmpconfigdir_warning when running as root.
+* :ghpull:`17610`: MNT: allow 0 sized figures
+* :ghpull:`17163`: Fix clipping of markers in PDF backend.
+* :ghpull:`17556`: DOC: Update contributor listing in credits
+* :ghpull:`17221`: Add metadata saving support to SVG.
+* :ghpull:`17603`: Replace image comparison in test_axes_grid1 by geometry checks.
+* :ghpull:`17428`: Doc start 33 merges
+* :ghpull:`17607`: Convert adjust_bbox to use ExitStack.
+* :ghpull:`17575`: DOCS: update collections.py docstrings to current doc conventions
+* :ghpull:`15826`: Fix bar3d bug with matching color string and array x lengths
+* :ghpull:`14507`: Simplify handling of Qt modifier keys.
+* :ghpull:`17589`: Fix doc build with Sphinx < 3.
+* :ghpull:`17590`: Clarify docs of set_powerlimits()
+* :ghpull:`17597`: MNT: cleanup minor style issues
+* :ghpull:`17183`: Update configuration of CircleCI builds
+* :ghpull:`17592`: Improve docstrings of ScalarFormatter
+* :ghpull:`17456`: Improve stackplot example
+* :ghpull:`17545`: Improve docs of markers
+* :ghpull:`17233`: Improve PDF metadata support in PGF
+* :ghpull:`17086`: Remove jQuery & jQuery UI
+* :ghpull:`17580`: Fix same_color() for 'none' color
+* :ghpull:`17582`: Fix link in doc
+* :ghpull:`17491`: DOC: Only link to overall Zenodo DOI.
+* :ghpull:`17515`: FIX: add set_box_aspect, improve tight bounding box for Axes3D + fix bbox_inches support with fixed box_aspect
+* :ghpull:`17581`: DOC: Remove duplicate Returns in subplot2grid.
+* :ghpull:`17550`: Update subplot2grid doc to use Figure.add_gridspec, not GridSpec.
+* :ghpull:`17544`: markerfacecolor should not override fillstyle='none' in plot()
+* :ghpull:`15672`: Remove mention that tkagg was derived from PIL.
+* :ghpull:`17573`: Examples: fix formatting issue in 'Errorbar limit selection'
+* :ghpull:`17543`: Fix linewidths and colors for scatter() with unfilled markers
+* :ghpull:`17448`: Add example for drawing an error band around a curve
+* :ghpull:`17572`: Examples: clarity for 'set and get' example page
+* :ghpull:`17276`: Allow numpy arrays in markevery
+* :ghpull:`17536`: Consolidate some tests and fix a couple typos
+* :ghpull:`17558`: Simplify plot_date()
+* :ghpull:`17534`: Fmaussion extended boundary norm
+* :ghpull:`17540`: Fix help window on GTK.
+* :ghpull:`17535`: Update docs on subplot2grid / SubplotBase
+* :ghpull:`17510`: Fix exception handling in FT2Font init.
+* :ghpull:`16953`: Changed 'colors' paramater in PyPlot vlines/hlines and Axes vlines/hlines to default to configured rcParams 'lines.color' option
+* :ghpull:`17459`: Use light icons on dark themes for wx and gtk, too.
+* :ghpull:`17539`: Use symbolic icons for buttons in GTK toolbar.
+* :ghpull:`15435`: Reuse png metadata handling of imsave() in FigureCanvasAgg.print_png().
+* :ghpull:`5034`: New "extend" keyword to colors.BoundaryNorm
+* :ghpull:`17532`: DOC: correct legend.title_fontsize docstring
+* :ghpull:`17531`: Remove unneeded check/comment re: multiprocessing in setup.py.
+* :ghpull:`17522`: Privatize ttconv module.
+* :ghpull:`17517`: Make sure _parent is in sync with Qt parent in NavigationToolbar2QT
+* :ghpull:`17525`: DOC/API: set __qualname__ when using class factory
+* :ghpull:`17511`: Fix offset legend tightbbox
+* :ghpull:`16203`: Port fontconfig's font weight detection to font_manager.
+* :ghpull:`17485`: Support marking a single artist as not-usetex.
+* :ghpull:`17338`: Support url on more Artists in svg
+* :ghpull:`17519`: Prefer demo'ing rcParams rather than rc in examples.
+* :ghpull:`13457`: Give ``AnnotationBbox`` an opinion about its extent
+* :ghpull:`15037`: Simplifications to errorbar().
+* :ghpull:`17493`: Update SVGs that use interpolation='none'.
+* :ghpull:`15221`: Don't fallback to agg in tight_layout.get_renderer.
+* :ghpull:`17512`: DOC: remove inkscape restriction in doc
+* :ghpull:`17484`: Deprecate ismath parameter to draw_tex and ismath="TeX!".
+* :ghpull:`17492`: Correctly set default linewidth for unfilled markers.
+* :ghpull:`16908`: Adding 2d support to quadmesh set_array
+* :ghpull:`17506`: Fix dicts unpacking for ``.plot``
+* :ghpull:`17496`: Fix some incorrect image clipping
+* :ghpull:`17340`: convert some sample plots to use plt.subplots() instead of other methods
+* :ghpull:`17504`: Undocument parameter orientation of bar()
+* :ghpull:`13884`: Add some documentation for axisartist's ExtremeFinder, plus some cleanups.
+* :ghpull:`17495`: Fix Pillow import in testing.
+* :ghpull:`17462`: Inline FigureCanvasGtkFoo._render_figure.
+* :ghpull:`17474`: Numpydocify RectangleSelector docstring.
+* :ghpull:`17003`: Optimize extensions with LTO and hidden visibility
+* :ghpull:`17489`: BUG: Picking vertical line broken
+* :ghpull:`17486`: Simplify handling of fontproperties=None.
+* :ghpull:`17478`: Add support for blitting in qt5cairo.
+* :ghpull:`15641`: Make get_sample_data autoload npy/npz files.
+* :ghpull:`17481`: Fix LightSource.shade on fully unmasked array.
+* :ghpull:`17289`: Prepare for ragged array warnings in NumPy 1.19
+* :ghpull:`17358`: Fix masked CubicTriInterpolator
+* :ghpull:`17477`: DOC: Use Sphinx-gallery animation capture
+* :ghpull:`17482`: Shorten RectangleSelector._release.
+* :ghpull:`17475`: Cleanup RectangleSelector example.
+* :ghpull:`17461`: Deprecate the private FigureCanvasGTK3._renderer_init.
+* :ghpull:`17464`: Fold _make_nseq_validator into _listify_validator.
+* :ghpull:`17469`: Use qVersion, not QT_VERSION_STR -- the latter doesn't exist in PySide2.
+* :ghpull:`4779`: DOC: Start to document interactive figures
+* :ghpull:`17458`: Cleanup C++ code
+* :ghpull:`17466`: DOC: clarify that milestones are intentions not approvals
+* :ghpull:`17062`: Fix to "exported SVG files blurred in viewers"
+* :ghpull:`17443`: Fix rcParams validator for dashes.
+* :ghpull:`17350`: Move integerness checks to SubplotSpec._from_subplot_args.
+* :ghpull:`17444`: Support odd-length dash patterns in Agg.
+* :ghpull:`17405`: Show the failing line in bad-rcparams warnings.
+* :ghpull:`17452`: Make validate_date throw ValueError, not RuntimeError.
+* :ghpull:`17439`: Remove comment re: validation of datetime format strings.
+* :ghpull:`17438`: Discourage use of proprietary Matplotlib names for freetype hinting
+* :ghpull:`16990`: update testing helpers
+* :ghpull:`16340`: Make set_x/ymargin() update axes limits, just like margins().
+* :ghpull:`15029`: Get default params from matplotlibrc.template.
+* :ghpull:`17363`: Fix toolbar separators in wx+toolmanager.
+* :ghpull:`17348`: Avoid creating a Tick in Axis.get_tick_space.
+* :ghpull:`15725`: Changed line color of boxplot for dark_background
+* :ghpull:`17362`: Remove status bars in toolmanager mode as well.
+* :ghpull:`16551`: DOC: be more opinionated about flags passed to pip
+* :ghpull:`17328`: Fixes icon clipping issue with WxAgg NavigationToolbar2 for wxpython 4.1.0
+* :ghpull:`17425`: fix typo in stem doc
+* :ghpull:`17415`: Cygwin fixes
+* :ghpull:`17401`: FIX: Fix for FFmpeg + GIF
+* :ghpull:`16569`: MNT: improve the error message in Path init
+* :ghpull:`17404`: Don't forget to dlclose() main_program in tkagg init.
+* :ghpull:`17414`: Keep validate_date private.
+* :ghpull:`17413`: Revert "DOC: drop the experimental tag constrained_layout and tight_layout"
+* :ghpull:`17394`: Deprecate passing keys to update_keymap as single comma-separated string
+* :ghpull:`17395`: TexManager fixes.
+* :ghpull:`17399`: Remove qt4 backends from backend fallback candidates.
+* :ghpull:`17392`: Clarify deprecation message re: tex/pgf preambles as list-of-strings.
+* :ghpull:`17400`: Cleanup wx examples.
+* :ghpull:`17378`: Fix marker overlap
+* :ghpull:`17351`: Fix running the test suite with inkscape>=1.
+* :ghpull:`17382`: FIX: properly check figure on gridspec
+* :ghpull:`17390`: Small updates to troubleshooting guide.
+* :ghpull:`15104`: Simplify file handling in ft2font.
+* :ghpull:`17380`: Support standard names for freetype hinting flags.
+* :ghpull:`15594`: Fix marker overlap
+* :ghpull:`17372`: Auto-set artist.mouseover based on if get_cursor_data is overridden.
+* :ghpull:`17377`: Remove code for sphinx < 1.8
+* :ghpull:`17266`: Keep explicit ticklabels in sync with ticks from FixedLocator
+* :ghpull:`17359`: Fix running test_internal_cpp_api directly.
+* :ghpull:`17355`: Change subprocess for inkscape version detection
+* :ghpull:`17369`: CI: Add eslint for JS linting
+* :ghpull:`17226`: Replace backend_driver by new example runner.
+* :ghpull:`17365`: Also use light color tool buttons in qt+toolmanager+dark theme.
+* :ghpull:`17366`: Restrict Qt toolbars to top/bottom of canvas.
+* :ghpull:`17361`: Remove randomness from test_colorbar_get_ticks_2.
+* :ghpull:`17151`: Cleanup colors.py docstrings.
+* :ghpull:`17287`: Make API of get_tightbbox more consistent between Axes and Axis.
+* :ghpull:`17092`: Don't create a statusbar in Qt, wx backends.
+* :ghpull:`17220`: Simplify Annotation and Text bbox drawing.
+* :ghpull:`17353`: Make zooming work in qt-embedding example.
+* :ghpull:`16727`: Update xtick.alignment parameter in rcsetup to validate against correct values
+* :ghpull:`17236`: Add the "contour.linewidths" configuration option
+* :ghpull:`16328`: Make Artist.set() apply properties in the order in which they are given.
+* :ghpull:`9696`: FIX: set_url() without effect in the plot for instances of Tick
+* :ghpull:`17002`: Fix AnnotationBbox picking and a bit of cleanup
+* :ghpull:`17256`: Improve ps handling of individual usetex strings.
+* :ghpull:`17267`: Improve image comparison decorator
+* :ghpull:`17332`: Cleanup docstring of subplots().
+* :ghpull:`16843`: Deprecate is_pyqt5.
+* :ghpull:`15898`: New textcolor kwarg for legend
+* :ghpull:`17333`: Make sharex, etc. args of subplots() keyword-only.
+* :ghpull:`17329`: Improve docs of eventplot()
+* :ghpull:`17330`: Remove pnpoly license.
+* :ghpull:`13656`: For single datasets, don't wrap artist added by Axes.hist in silent_list
+* :ghpull:`16247`: DOC added kwargs and tight_layout description in plt.figure
+* :ghpull:`16992`: Implement FigureManager.resize for macosx backend
+* :ghpull:`17324`: DOC: add offset axes to secondary_axes
+* :ghpull:`17311`: Make pyplot signatures of rgrids() and thetagrids() explicit
+* :ghpull:`17302`: Fix alignment of offset text on top axis.
+* :ghpull:`14421`: Add GridSpec.subplots()
+* :ghpull:`15111`: By default, don't change the figure face/edgecolor on savefig().
+* :ghpull:`17318`: both x and y should multiply the radius
+* :ghpull:`17309`: Cleanup parameter types in docstrings
+* :ghpull:`17308`: Improve docs of bar() and barh()
+* :ghpull:`17312`: changed axis to axes in lifecycle tutorial
+* :ghpull:`16715`: Automatically create tick formatters for str and callable inputs.
+* :ghpull:`16959`: Simplify and robustify ConnectionPatch coordinates conversion.
+* :ghpull:`17306`: FIX: CL more stable
+* :ghpull:`17301`: Use deprecate_privatize_attribute more.
+* :ghpull:`16985`: Adds normalize kwarg to pie function
+* :ghpull:`5243`: Enhancement of tick label offset text positioning
+* :ghpull:`17292`: Deprecate various wx Toolbar attributes.
+* :ghpull:`17297`: Simplify pickling support.
+* :ghpull:`17298`: Fix rubberband in tk.
+* :ghpull:`17299`: Avoid "dash motion" in qt zoom box.
+* :ghpull:`17200`: Implement set_history_buttons for Tk toolbar.
+* :ghpull:`16798`: Make the Qt interactive zoom rectangle black & white.
+* :ghpull:`17296`: Fix doc wording
+* :ghpull:`17282`: Don't divide by zero in Line2D.segment_hits.
+* :ghpull:`17293`: Fix incorrect deprecation.
+* :ghpull:`17285`: V32 mergeup
+* :ghpull:`15933`: Warn if a temporary config/cache dir must be created.
+* :ghpull:`15911`: Use os.getpid() in configdir, to avoid multiprocess concurrency issues
+* :ghpull:`17277`: Move slow FontManager warning to FontManager constructor.
+* :ghpull:`17222`: FIX: long titles x/ylabel layout
+* :ghpull:`14960`: Don't generate individual doc entries for inherited Axes/Axis/Tick methods
+* :ghpull:`17175`: Further sync axes_grid colorbars with standard colorbars.
+* :ghpull:`17030`: Move widget functions into matplotlib.testing.widgets.
+* :ghpull:`16975`: Fix "out of bounds" undefined behavior
+* :ghpull:`17111`: Deprecate NavigationToolbar2._init_toolbar.
+* :ghpull:`15275`: adds turbo colormap
+* :ghpull:`17174`: Inline RGBAxes._config_axes to its only call site.
+* :ghpull:`17156`: Deprecate text.latex.preview rcParam.
+* :ghpull:`17242`: Make deprecations versions explicit
+* :ghpull:`17165`: Small optimizations to scale and translate of Affine2D
+* :ghpull:`17181`: Inline some private helper methods in ColorbarBase + small refactors.
+* :ghpull:`17264`: Don't trigger save when gtk save dialog is closed by escape.
+* :ghpull:`17262`: fix typo in set_clip_on doc
+* :ghpull:`17234`: Shorten and privatize qt's UiSubplotTool.
+* :ghpull:`17137`: Deprecate Toolbar.press/release; add helper to find overridden methods.
+* :ghpull:`17245`: Improve error handling in _parse_scatter_color_args
+* :ghpull:`15008`: ENH: add variable epoch
+* :ghpull:`17260`: Text Rotation Example: Correct roation_mode typo
+* :ghpull:`17258`: Improve info logged by tex subsystem.
+* :ghpull:`17211`: Deprecate support for running svg converter from path contaning newline.
+* :ghpull:`17078`: Improve nbAgg & WebAgg toolbars
+* :ghpull:`17191`: Inline unsampled-image path; remove renderer kwarg from _check_unsampled_image.
+* :ghpull:`17213`: Replace use of Bbox.bounds by appropriate properties.
+* :ghpull:`17219`: Add support for suptitle() in tight_layout().
+* :ghpull:`17235`: More axisartist cleanups
+* :ghpull:`17239`: Remove deprecations that expire in 3.3
+* :ghpull:`13696`: Deprecate offset_position="data".
+* :ghpull:`16991`: Begin warning on modifying global state of colormaps
+* :ghpull:`17053`: Replace most jQuery with vanilla JavaScript
+* :ghpull:`17228`: Make params to pyplot.tight_layout keyword-only.
+* :ghpull:`17225`: Remove Patch visibility tracking by Legend & OffsetBox.
+* :ghpull:`17027`: Fix saving nbAgg figure after a partial blit
+* :ghpull:`16847`: Ticks are not markers
+* :ghpull:`17229`: Autogenerate subplots_adjust with boilerplate.py.
+* :ghpull:`17209`: Simplify some axisartist code.
+* :ghpull:`17204`: Draw unfilled hist()s with the zorder of lines.
+* :ghpull:`17205`: Shorten tight_layout code.
+* :ghpull:`17218`: Document ``Transform.__add__`` and ``.__sub__``.
+* :ghpull:`17215`: Small cleanups.
+* :ghpull:`17212`: Cleanup text.py.
+* :ghpull:`17196`: Move polar tests to their own module.
+* :ghpull:`14747`: Deprecate AxisArtist.dpi_transform.
+* :ghpull:`13144`: Deprecate NavigationToolbar2GTK3.ctx.
+* :ghpull:`17202`: DOC: Remove extra word
+* :ghpull:`17194`: Small cleanups/simplifications/fixes to pie().
+* :ghpull:`17102`: Switch tk pan/zoom to use togglable buttons.
+* :ghpull:`16832`: Correctly compute path extents
+* :ghpull:`17193`: Document docstring quote convention
+* :ghpull:`17195`: Fix polar tests.
+* :ghpull:`17189`: Make all parameters of ColorbarBase, except ``ax``, keyword-only.
+* :ghpull:`16717`: Bugfix for issue 16501 raised ValueError polar subplot with (thetamax - thetamin) > 2pi
+* :ghpull:`17180`: Doc: spines arrows example
+* :ghpull:`17184`: Fix various small typos.
+* :ghpull:`17143`: Move linting to GitHub Actions with reviewdog.
+* :ghpull:`17160`: Correctly go through property setter when init'ing Timer interval.
+* :ghpull:`17166`: Deprecate ScalarMappable.check_update and associated machinery.
+* :ghpull:`17177`: Manually linewrap PS hexlines. Fixes #17176
+* :ghpull:`17162`: Update docs of rc_context()
+* :ghpull:`17170`: Convert SubplotZero example into centered-spines-with-arrows recipe.
+* :ghpull:`17164`: Fix Figure.add_axes(rect=...).
+* :ghpull:`17154`: DOC: Fix some warning and unreproducibility
+* :ghpull:`17169`: Clarify that draw_event occurs after the canvas draw.
+* :ghpull:`17089`: Cleanup some imports in tests
+* :ghpull:`17040`: Improve docs on automated tests
+* :ghpull:`17145`: CI: run pydocstyle with our custom options
+* :ghpull:`16864`: Check parameter type for legend(labels)
+* :ghpull:`17146`: FigureManager/NavigationToolbar2 cleanups.
+* :ghpull:`16933`: Add tests for toolmanager.
+* :ghpull:`17127`: ENH: allow title autopositioning to be turned off
+* :ghpull:`17150`: Many docstring cleanups.
+* :ghpull:`17148`: Fix most instances of D404 ("docstring should not start with 'this'").
+* :ghpull:`17142`: BUGFIX: conditional for add_axes arg deprecation
+* :ghpull:`17032`: Fold table.CustomCell into Cell.
+* :ghpull:`17117`: TextBox improvements.
+* :ghpull:`17108`: Make widgets.TextBox work also when embedding.
+* :ghpull:`17135`: Simplify pan/zoom toggling.
+* :ghpull:`17134`: Don't override update() in NavigationToolbar2Tk.
+* :ghpull:`17129`: In docs remove 'optional' if 'default' can be given
+* :ghpull:`16963`: Deprecate Locator.refresh and associated helpers.
+* :ghpull:`17133`: Fix Button widget motion callback.
+* :ghpull:`17125`: Make multiline docstrings start with a newline.
+* :ghpull:`17124`: Widgets cleanup.
+* :ghpull:`17123`: Cleanup/Simplify Cell._set_text_position.
+* :ghpull:`16862`: FIX: turn off title autopos if pad is set
+* :ghpull:`15214`: Inline wx icon loading.
+* :ghpull:`16831`: Simplify interactive zoom handling.
+* :ghpull:`17094`: DOC: drop the experimental tag constrained_layout and tight_layout
+* :ghpull:`17101`: Avoid "wrapped C/C++ object has been deleted" when closing wx window.
+* :ghpull:`17028`: Changed return type of get_{x,y}ticklabels to plain list
+* :ghpull:`16058`: Deprecate {ContourSet,Quiver}.ax in favor of .axes.
+* :ghpull:`15349`: Use checkboxes as bullet points for the PR review checklists
+* :ghpull:`17112`: Fix some link redirects in docs
+* :ghpull:`17090`: DOCS: add examples of how one "should" use Bbox
+* :ghpull:`17110`: Simplify connection of the default key_press and button_press handlers.
+* :ghpull:`17070`: Cleanups to Qt backend.
+* :ghpull:`16776`: Make cursor text precision actually correspond to pointing precision.
+* :ghpull:`17026`:  Add eslint & prettier, and re-format JS
+* :ghpull:`17091`: Make sure slider uses "x" sign before multiplicative factor.
+* :ghpull:`17082`: Cleanup TextBox implementation.
+* :ghpull:`17067`: Simplify and generalize _set_view_from_bbox.
+* :ghpull:`17081`: Update animation_api.rst
+* :ghpull:`17077`: Improve default formatter for Slider values.
+* :ghpull:`17079`: Use True instead of 1 for boolean parameters.
+* :ghpull:`17074`: Fixed a typo in Lifecycle of a Plot
+* :ghpull:`17072`: Cleanup multi_image example.
+* :ghpull:`15287`: Allow sharex/y after axes creation.
+* :ghpull:`16987`: Deprecate case-insensitive properties.
+* :ghpull:`17059`: More missing refs fixes, and associated doc rewordings.
+* :ghpull:`17057`: Simplify subgridspec example/tutorial.
+* :ghpull:`17058`: Fix minor doc typos.
+* :ghpull:`17024`: Clarify docs of Rectangle
+* :ghpull:`17043`: Avoid spurious deprecation warning in TextBox.
+* :ghpull:`17047`: Highlighted  .cbook.warn_deprecated() in contributing.rst
+* :ghpull:`17054`: Use slope in axline example
+* :ghpull:`17048`: More missing refs fixes.
+* :ghpull:`17021`: File name made more understandable
+* :ghpull:`16903`: Shorten implementation of Axes methods that just wrap Axis methods.
+* :ghpull:`17039`: Cleanups to contour docs.
+* :ghpull:`17011`: ci: Publish result images as Azure artifacts.
+* :ghpull:`17038`: Improve readability of documenting_mpl.rst
+* :ghpull:`16996`:  Clean up get_proj() docstring (used view_init docstring as reference)
+* :ghpull:`17019`: Add return field to documentation of 'get_major_ticks'
+* :ghpull:`16999`: Add section on artifacts to imshow docs
+* :ghpull:`17029`: Fix table.Cell docstrings.
+* :ghpull:`17025`: Fix RecursionError when closing nbAgg figures.
+* :ghpull:`16971`: Don't change Figure DPI if value unchanged
+* :ghpull:`16972`: Fix resize bugs in GTK
+* :ghpull:`17008`: Change the description of Rectangle's xy parameter
+* :ghpull:`16337`: Create axline() using slope
+* :ghpull:`16947`: Fix missing parameter initialization in Axes.specgram()
+* :ghpull:`17001`: Cleanup imshow_extent tutorial.
+* :ghpull:`17000`: More stringent eventplot orientations.
+* :ghpull:`16771`: Deprecate non-string values as legend labels
+* :ghpull:`15910`: Simplify init of EventCollection.
+* :ghpull:`16998`: Made INSTALL.rst consistent
+* :ghpull:`15393`: Cleanup shape manipulations.
+* :ghpull:`10924`: Clear() methods to Radio and CheckButtons and other improvements
+* :ghpull:`16988`: Make plt.{r,theta}grids act as setters even when all args are kwargs.
+* :ghpull:`16986`: update tox.ini to match pythons supported and allow flags for pytest
+* :ghpull:`16111`: Move locking of fontlist.json *into* json_dump.
+* :ghpull:`13110`: Slightly tighten the Bbox/Transform API.
+* :ghpull:`16973`: TST: don't actually render 1k+ date ticks
+* :ghpull:`16967`: Simplify animation writer fallback.
+* :ghpull:`16812`: Bezier/Path API Cleanup: fix circular import issue
+* :ghpull:`16968`: Add link to 3.2 min-supported-requirements.
+* :ghpull:`16957`: Remove unused, private aliases Polygon._{get,set}_xy.
+* :ghpull:`16960`: Improve error for quoted values in matplotlibrc.
+* :ghpull:`16530`: Fix violinplot support list of pandas.Series
+* :ghpull:`16939`: Cleanup/tighten axes_grid.
+* :ghpull:`16942`: Cleanup and avoid refleaks OSX Timer__timer_start.
+* :ghpull:`16944`: TST: update default junit_family
+* :ghpull:`16823`: Dedupe implementation of axes grid switching in toolmanager.
+* :ghpull:`16951`: Cleanup dates docstrings.
+* :ghpull:`16769`: Fix some small style issues
+* :ghpull:`16936`: FIX: Plot is now rendered with correct inital value
+* :ghpull:`16937`: Making sure to keep over/under/bad in cmap resample/reverse.
+* :ghpull:`16915`: Tighten/cleanup wx backend.
+* :ghpull:`16923`: Test the macosx backend on Travis.
+* :ghpull:`15369`: Update style docs
+* :ghpull:`16893`: Robustify ``AffineBase.__eq__`` against comparing to other classes.
+* :ghpull:`16904`: Turn fontdict & minor into kwonly parameters for set_{x,y}ticklabels.
+* :ghpull:`16917`: Add test for close_event.
+* :ghpull:`16920`: Remove unused _read_ppm_image from macosx.m.
+* :ghpull:`16877`: Cleanup new_fixed_axis examples.
+* :ghpull:`15049`: Annotate argument in axes class match upstream
+* :ghpull:`16774`: Cleanup demo_axes_hbox_divider.
+* :ghpull:`16873`: More fixes to pydocstyle D403 (First word capitalization)
+* :ghpull:`16896`: set_tick_params(label1On=False) should also make offset text invisible.
+* :ghpull:`16907`: Fix typo in implementation of quit_all_keys.
+* :ghpull:`16900`: Document and test common_texification()
+* :ghpull:`16902`: Remove dot from suffix in testing.compare.
+* :ghpull:`16828`: Use more _setattr_cm, thus fix Text('').get_window_extent(dpi=...)
+* :ghpull:`16901`: Cleanup many docstrings.
+* :ghpull:`16840`: Deprecate support for Qt4.
+* :ghpull:`16899`: Remove optional returns from TriAnalyzer._get_compressed_triangulation.
+* :ghpull:`16618`: Use SubplotSpec row/colspans more, and deprecate get_rows_columns.
+* :ghpull:`15392`: Autoscale for ax.arrow()
+* :ghpull:`14626`: Add support for minor ticks in 3d axes.
+* :ghpull:`16897`: Add back missing import.
+* :ghpull:`14725`: Move the debug-mode TransformNode.write_graphviz out.
+* :ghpull:`15437`: Improve handling of alpha when saving to jpeg.
+* :ghpull:`15606`: Simplify OldAutoLocator and AutoDateLocator.
+* :ghpull:`16863`: Shortcut for closing all figures
+* :ghpull:`16876`: Small cleanups to dviread.
+* :ghpull:`15680`: Use more kwonly arguments, less manual kwargs-popping.
+* :ghpull:`15318`: Deprecate unused rcParams["animation.html_args"].
+* :ghpull:`15303`: Make it possible to use rc_context as a decorator.
+* :ghpull:`16890`: Enables hatch alpha on SVG
+* :ghpull:`16887`: Shorter event mocking in tests.
+* :ghpull:`16881`: Validate tickdir strings
+* :ghpull:`16846`: Disconnect manager when resizing figure for animation saving.
+* :ghpull:`16871`: Shorter Path import in setupext.
+* :ghpull:`16892`: Warn in the docs that MouseEvent.key can be wrong.
+* :ghpull:`16209`: Dedupe boilerplate for "adoption" of figure into pyplot.
+* :ghpull:`16098`: Deprecate parameter props of Shadow
+* :ghpull:`15747`: Move Text init to end of Annotation init.
+* :ghpull:`15679`: np.concatenate cleanups.
+* :ghpull:`16778`: Remove more API deprecated in 3.1(part 7)
+* :ghpull:`16886`: Finish removing mentions of idle_event.
+* :ghpull:`16882`: Fix trivial docstring typos.
+* :ghpull:`16874`: Fix pydocstyle D209 (Multi-line docstring closing separate line)
+* :ghpull:`14044`: Remove font preamble caching in TexManager.
+* :ghpull:`16724`: Fixed incorrect colour in ErrorBar when Nan value is presented
+* :ghpull:`15254`: Propagate signature-modifying decorators to pyplot wrappers.
+* :ghpull:`16868`: Update release guide
+* :ghpull:`14442`: In the build, declare all (compulsory) extension modules together.
+* :ghpull:`16866`: Cleanup/update deprecations.
+* :ghpull:`16850`: use validate_[cap/join]style
+* :ghpull:`16858`: Fix various numpydoc style issues
+* :ghpull:`16848`: Cleanup CI setup
+* :ghpull:`16845`: Fix checking of X11 builds with PySide2.
+* :ghpull:`14199`: Deprecate Path helpers in bezier.py
+* :ghpull:`16838`: Inline some more kwargs into setup.py's setup() call.
+* :ghpull:`16841`: Cleanup errorbar subsampling example
+* :ghpull:`16839`: spines doc cleanup
+* :ghpull:`16844`: fix example hist(density=...)
+* :ghpull:`16827`: Fix warnings in doc examples
+* :ghpull:`16772`: Remove more API deprecated in 3.1
+* :ghpull:`16822`: fix bug where make_compound_path kept all STOPs
+* :ghpull:`16819`: Destroy figures by manager instance, not by number.
+* :ghpull:`16824`: Deprecate NavigationToolbar2QT.parent.
+* :ghpull:`16825`: Don't use deprecated Gtk add_with_viewport.
+* :ghpull:`16816`: Merge v3.2.x into master
+* :ghpull:`16786`: Simple cleanups to formatters.
+* :ghpull:`16807`: Update barchart_demo.
+* :ghpull:`16804`: Deprecate some mathtext glue helper classes.
+* :ghpull:`16808`: One more instance of check_in_list.
+* :ghpull:`16802`: Fix incorrect super class of VCentered.
+* :ghpull:`16789`: Update markup for collections docstrings.
+* :ghpull:`16781`: Update image tutorial wrt. removal of native png handler.
+* :ghpull:`16787`: Avoid vstack() when possible.
+* :ghpull:`16689`: Add a fast path for NumPy arrays to Collection.set_verts
+* :ghpull:`15373`: Further shorten quiver3d computation...
+* :ghpull:`16780`: Don't import rcParams but rather use mpl.rcParams (part 3)
+* :ghpull:`16775`: Cleanup axes_divider examples.
+* :ghpull:`15949`: Simplify implementation of SubplotTool.
+* :ghpull:`14869`: Deduplicate code for text-to-path conversion in svg backend.
+* :ghpull:`16527`: Validate positional parameters of add_subplot()
+* :ghpull:`15622`: Cleanup mpl_toolkits locators.
+* :ghpull:`16744`: Reword axes_divider tutorial.
+* :ghpull:`16746`: Reword colorbar-with-axes-divider example.
+* :ghpull:`15211`: Various backend cleanups.
+* :ghpull:`15890`: Remove API deprecated in 3.1 (part 2)
+* :ghpull:`16757`: Simplify interactive zoom handling.
+* :ghpull:`15515`: Combine withEffect PathEffect definitions.
+* :ghpull:`15977`: pgf backend cleanups.
+* :ghpull:`15981`: Reuse colorbar outline and patch when updating the colorbar.
+* :ghpull:`14852`: Use Path.arc() to interpolate polar arcs.
+* :ghpull:`16686`: Deprecate Substitution.from_params.
+* :ghpull:`16675`: Vectorize patch extraction in Axes3D.plot_surface
+* :ghpull:`15846`: Standardize signature mismatch error messages.
+* :ghpull:`16740`: Fix type of ``dpi`` in docstrings.
+* :ghpull:`16741`: Dedupe RGBAxes examples.
+* :ghpull:`16755`: Reword docstring of panning callbacks, and pass them a MouseButton.
+* :ghpull:`16749`: Document behavior of savefig("extensionless-name").
+* :ghpull:`16754`: Cleanup image.py.
+* :ghpull:`14606`: Generic cleanup to hist().
+* :ghpull:`16692`: Allow MarkerStyle instances as input for lines
+* :ghpull:`15479`: Cleanup axes_rgb.
+* :ghpull:`16617`: Use Path(..., closed=True) more.
+* :ghpull:`16710`: Make format_coord messagebox resize with the window and the content in osx backend
+* :ghpull:`16681`: Simplify docstring interpolation for Box/Arrow/ConnectionStyles.
+* :ghpull:`16576`: Deprecate arg-less calls to subplot_class_factory (and similar factories)
+* :ghpull:`16652`: Deprecate {Locator,Axis}.{pan,zoom}.
+* :ghpull:`16596`: Deprecate dviread.Encoding.
+* :ghpull:`16231`: Deprecate JPEG-specific kwargs and rcParams to savefig.
+* :ghpull:`16636`: Deprecate autofmt_xdate(which=None) to mean which="major".
+* :ghpull:`16644`: Deprecate validate_webagg_address.
+* :ghpull:`16619`: Fix overindented lines.
+* :ghpull:`15233`: backend_ps cleanup.
+* :ghpull:`16604`: Deprecate more rc validators.
+* :ghpull:`16601`: Small unrelated cleanups.
+* :ghpull:`16584`: Rename font_bunch to psfont in textpath.
+* :ghpull:`16023`: Dedupe implementations of fill_between & fill_betweenx.
+* :ghpull:`16485`: Simplify validate_color_for_prop_cycle.
+* :ghpull:`16285`: Deprecate RendererCairo.font{weights,angles}
+* :ghpull:`16410`: Fix support for empty usetex strings.
+* :ghpull:`11644`: Add feature to fallback to stix font in mathtext
+* :ghpull:`16537`: Delay checking for existence of postscript distillers.
+* :ghpull:`16351`: Group all init of Legend.legendPatch together.
+* :ghpull:`15988`: Refactor Annotation properties.
+* :ghpull:`16421`: Shorten the type1-to-unicode name table.
+* :ghpull:`16200`: Deprecate Artist.{set,get}_contains.
+* :ghpull:`15828`: Deprecate support for dash-offset = None.
+* :ghpull:`16338`: Document SymmetricalLogLocator parameters.
+* :ghpull:`16504`: DOC: more pcolor fixes
+* :ghpull:`15996`: Cleanup axes_size.
+* :ghpull:`16108`: Deprecate DraggableBase.on_motion_blit.
+* :ghpull:`16706`: Fix exception causes all over the codebase
+* :ghpull:`15855`: Simplify 3d axes callback setup.
+* :ghpull:`16219`: Simplify CallbackRegistry pickling.
+* :ghpull:`16002`: relax two test tolerances on x86_64
+* :ghpull:`16063`: Make the signature of Axes.draw() consistent with Artist.draw().
+* :ghpull:`16177`: Further simplify setupext.
+* :ghpull:`16191`: Make Figure._axobservers a CallbackRegistry.
+* :ghpull:`16698`: Small edits to toolkits docs.
+* :ghpull:`15430`: Simplify setupext.download_or_cache.
+* :ghpull:`16694`: Lower Text's FontProperties priority when updating
+* :ghpull:`16511`: Add more detailed kwargs docstrings to Axes methods.
+* :ghpull:`16653`: Tutorials: make path/URL option clearer in matplotlibrc tutorial
+* :ghpull:`16697`: Update docstrings for plot_directive.
+* :ghpull:`16684`: Fix exception causes in 19 modules
+* :ghpull:`16674`: Docstring + import cleanups to legend.py.
+* :ghpull:`16683`: Turn mathtext.GlueSpec into a (private) namedtuple.
+* :ghpull:`16660`: Cleanup fancybox_demo.
+* :ghpull:`16691`: Clarify tiny comment re: AnnotationBbox constructor.
+* :ghpull:`16676`: Cleanup animation docstrings.
+* :ghpull:`16673`: DOC: correct title_fontsize docstring
+* :ghpull:`16669`: DOC: update doc release guide
+* :ghpull:`16563`: Parametrize imshow antialiased tests.
+* :ghpull:`16658`: In docs, add multi-axes connectionpatches to Figure, not Axes.
+* :ghpull:`16647`: Update annotation tutorial.
+* :ghpull:`16638`: Remove unused, outdated division operators on jpl_units.
+* :ghpull:`16509`: Add custom math fallback
+* :ghpull:`16609`: Fix exception causes in rcsetup.py
+* :ghpull:`16637`: Update docstrings in figure.py.
+* :ghpull:`16534`: DOC: MaxNLocator and contour/contourf doc update (replaces #16428)
+* :ghpull:`16597`: close #16593: setting ecolor turns off color cycling
+* :ghpull:`16615`: Update custom boxstyles example.
+* :ghpull:`16610`: Added graphviz_docs to conf.py
+* :ghpull:`16608`: Stricter validation of rcParams["axes.axisbelow"].
+* :ghpull:`16614`: Cleanup quiver3d examples.
+* :ghpull:`16556`: Make backend_ps test robust against timestamp changes in ghostscript.
+* :ghpull:`16602`: Cleanup testing.compare.
+* :ghpull:`16575`: Style fix for dynamic axes subclass generation in mpl_toolkits.
+* :ghpull:`16587`: Remove warnings control from tests.py.
+* :ghpull:`16599`: Cleanup dolphin example.
+* :ghpull:`16586`: Deprecate recursionlimit kwarg to matplotlib.test().
+* :ghpull:`16595`: Minor docstring/references update.
+* :ghpull:`16579`: Update usetex_fonteffects example.
+* :ghpull:`16578`: Use rc() less often in examples/tutorials.
+* :ghpull:`16572`: Remove some remnants of hist{,2d}(normed=...).
+* :ghpull:`16491`: Expire the _rename_parameters API changes.
+* :ghpull:`14592`: In SecondaryAxis.set_functions, reuse _set_scale's parent scale caching.
+* :ghpull:`16279`: STY: Fix underindented continuation lines.
+* :ghpull:`16549`: Improve documentation for examples/widgets/textbox.py
+* :ghpull:`16560`: Update URL to pyparsing.
+* :ghpull:`16292`: More edits to Normalize docstrings.
+* :ghpull:`16536`: API/TST: minimum versions
+* :ghpull:`16559`: 3D example avoid using statefull .gca()
+* :ghpull:`16553`: DOC: clarify the expected shapes of eventplot input
+* :ghpull:`16535`: Clarify docs of num parameter of plt.figure()
+* :ghpull:`16547`: Reformat/reword mathtext docstrings.
+* :ghpull:`16545`: Add a smoketest for ps.usedistiller="xpdf".
+* :ghpull:`16529`: Deprecate toggling axes navigatability using the keyboard.
+* :ghpull:`16521`: Remove more API deprecated in 3.1.
+* :ghpull:`16481`: Update set_thetalim documentation
+* :ghpull:`16524`: Cleanup docstrings
+* :ghpull:`16540`: Cleanup imports
+* :ghpull:`16429`: CI: update codecov
+* :ghpull:`16533`: Recommend to amend pull requests
+* :ghpull:`16531`: Also deprecate ignorecase ValidateInStrings.
+* :ghpull:`16428`: DOC: MaxNLocator and contour/contourf doc update
+* :ghpull:`16525`: Don't import rcParams but rather use mpl.rcParams (part 2)
+* :ghpull:`16528`: Improve test failure messages on warnings.
+* :ghpull:`16393`: Shorten PyFT2Font_get_charmap.
+* :ghpull:`16483`: Deprecate most ValidateInStrings validators.
+* :ghpull:`16523`: Reorder mathtext rcparams in matplotlibrc template.
+* :ghpull:`16520`: Update a comment re: minimum version of numpy working around bug.
+* :ghpull:`16522`: Fix deprecation warning
+* :ghpull:`16515`: Fix doc for set_{x,y}label, and then some more.
+* :ghpull:`16516`: Fixes to boxplot() docstring & error messages.
+* :ghpull:`16508`: Multi-dim transforms are non-separable by default.
+* :ghpull:`16507`: Factor out common parts of ``__str__`` for Transform subclasses.
+* :ghpull:`16514`: Various delayed PR reviews
+* :ghpull:`16512`: Fix a bunch of random typos.
+* :ghpull:`16510`: Doc markup cleanups.
+* :ghpull:`16500`: Dedupe timer attribute docs.
+* :ghpull:`16503`: DOC: suppress warning on pcolor demo
+* :ghpull:`16495`: Deemphasize basemap in user-facing docs.
+* :ghpull:`16484`: Don't forget to set stretch when exporting font as svg reference.
+* :ghpull:`16486`: Simplify validate_color, and make it slightly stricter.
+* :ghpull:`16246`: Avoid using FontProperties when not needed.
+* :ghpull:`16432`: Prefer geomspace() to logspace().
+* :ghpull:`16099`: Consistently name callback arguments event instead of evt
+* :ghpull:`16477`: Remove some APIs deprecated in mpl3.1.
+* :ghpull:`16475`: Use vlines() and plot(), not stem(), in timeline example.
+* :ghpull:`16474`: Switch default of stem(use_line_collection=...) to True.
+* :ghpull:`16467`: Convert named_colors example to use Rectangle
+* :ghpull:`16047`: Remove more API deprecated in 3.1
+* :ghpull:`16373`: Fix usetex_baseline_test.
+* :ghpull:`16433`: Simplify demo_curvelinear_grid2.
+* :ghpull:`16472`: Fix mplot3d projection
+* :ghpull:`16092`: Deprecate clear_temp param/attr of FileMovieWriter.
+* :ghpull:`15504`: Warn when trying to start a GUI event loop out of the main thread.
+* :ghpull:`15023`: Simplify formatting of matplotlibrc.template.
+* :ghpull:`13535`: Validate inputs to ScalarMappable constructor
+* :ghpull:`16469`: FIX: colorbar minorticks when rcParams['x/ytick.minor.visible'] = True
+* :ghpull:`16401`: BLD: Auto-detect PlatformToolset
+* :ghpull:`16024`: Keep parameter names in preprocess_data.
+* :ghpull:`13390`: Make sure that scatter3d copies its inputs.
+* :ghpull:`16107`: Deprecate DraggableBase.artist_picker.
+* :ghpull:`16455`: Update some docstrings in colors.py
+* :ghpull:`16456`: Enable more font_manager tests to be run locally.
+* :ghpull:`16459`: Update backend dependency docs.
+* :ghpull:`16444`: Dedupe spectral plotting tests.
+* :ghpull:`16460`: Remove some mentions of avconv, following its deprecation.
+* :ghpull:`16443`: Parametrize some spectral tests.
+* :ghpull:`16204`: Expire deprecation of \mathcircled
+* :ghpull:`16446`: Replace matshow baseline test by check_figures_equal.
+* :ghpull:`16418`: Backend timer simplifications.
+* :ghpull:`16454`: Use pytest.raises(match=...)
+* :ghpull:`14916`: Make kwargs names in scale.py not include the axis direction.
+* :ghpull:`16258`: ENH: add shading='nearest' and 'auto' to ``pcolormesh``
+* :ghpull:`16228`: Allow directly passing explicit font paths.
+* :ghpull:`16445`: Remove a bunch of imports-within-tests.
+* :ghpull:`16440`: Expire deprecation of \stackrel.
+* :ghpull:`16439`: Rework pylab docstring.
+* :ghpull:`16441`: Rework pylab docstring.
+* :ghpull:`16442`: Expire deprecation of \stackrel.
+* :ghpull:`16365`: TST: test_acorr (replaced image comparison with figure comparion)
+* :ghpull:`16206`: Expire deprecation of \stackrel
+* :ghpull:`16437`: Rework pylab docstring.
+* :ghpull:`8896`: Fix mplot3d projection
+* :ghpull:`16430`: Remove unnecessary calls to np.array in examples.
+* :ghpull:`16407`: Remove outdated comment re: PYTHONHASHSEED and pytest.
+* :ghpull:`16225`: Cleanup animation examples.
+* :ghpull:`16336`: Include axline() in infinite lines example
+* :ghpull:`16395`: Add set/get for ellipse width/height
+* :ghpull:`16431`: CI: add py38 to azure matrix
+* :ghpull:`16415`: Expire some APIs deprecated in mpl3.1.
+* :ghpull:`16425`: MNT: rename internal variable
+* :ghpull:`16427`: Style-fix some examples and update .flake8 per-file-ignores.
+* :ghpull:`16423`: Slightly improve streamplot code legibility.
+* :ghpull:`16414`: DOC: Fix ``axes:plot`` method docstring verb tense
+* :ghpull:`16408`: Deprecate avconv animation writers.
+* :ghpull:`16406`: Don't import rcParams but rather use mpl.rcParams.
+* :ghpull:`16326`: Cleanup stack
+* :ghpull:`16193`: Catch shadowed imports in style checks.
+* :ghpull:`16374`: Log about font manager generation beforehand.
+* :ghpull:`16372`: Dedupe ImageGrid doc from tutorial and docstring.
+* :ghpull:`16380`: "gif" third-party package added to the extension page
+* :ghpull:`16327`: Cleanup list copying
+* :ghpull:`16366`: Special-case usetex minus to zero depth.
+* :ghpull:`16350`: TST: Improved test (getting rid of image comparison test for test_titletwiny)
+* :ghpull:`16359`: Make Text.update_from copy usetex state.
+* :ghpull:`16355`: typo in ``ticker.ScalarFormatter`` doc
+* :ghpull:`15440`: Use rcParams to control default "raise window" behavior (Qt,Gtk,Tk,Wx)
+* :ghpull:`16302`: Cleanup Legend._auto_legend_data.
+* :ghpull:`16329`: ENH: add zorder kwarg to contour clabel (and a better default value for zorder)
+* :ghpull:`16341`: Remove mention of now-removed --verbose-foo flags.
+* :ghpull:`16265`: Fix spy(..., marker=<not-None>, origin="lower")
+* :ghpull:`16333`: Document animation HTML writer.
+* :ghpull:`16334`: Fix doc regarding deprecation of properties.
+* :ghpull:`16335`: Fix some more missing references.
+* :ghpull:`16304`: Simplify Legend.get_children.
+* :ghpull:`16309`: Remove duplicated computations in Axes.get_tightbbox.
+* :ghpull:`16314`: Avoid repeatedly warning about too many figures open.
+* :ghpull:`16319`: Put doc for XAxis befor YAxis and likewise for XTick, YTick.
+* :ghpull:`16313`: Cleanup constrainedlayout_guide.
+* :ghpull:`16312`: Remove unnecessary Legend._approx_text_height.
+* :ghpull:`16307`: Cleanup axes_demo.
+* :ghpull:`16303`: Dedupe Legend.draw_frame which is the same as set_frame_on.
+* :ghpull:`16261`: TST: move the Qt-specific handling to conftest
+* :ghpull:`16297`: DOC: fix description of vmin/vmax in scatter
+* :ghpull:`16288`: Remove the private, unused _csv2rec.
+* :ghpull:`16281`: Update/cleanup pgf tutorial.
+* :ghpull:`16283`: Cleanup backend_agg docstrings.
+* :ghpull:`16282`: Replace "unicode" by "str" in docs, messages when referring to the type.
+* :ghpull:`16289`: axisartist tutorial markup fixes.
+* :ghpull:`16293`: Revert "Fix doc CI by pointing to dev version of scipy docs."
+* :ghpull:`16287`: Improve markup for rcParams in docs.
+* :ghpull:`16271`: Clean up and clarify Normalize docs
+* :ghpull:`16290`: Fix doc CI by pointing to dev version of scipy docs.
+* :ghpull:`16276`: Cleanup docstring of print_figure, savefig.
+* :ghpull:`16277`: Prefer using MouseButton to numeric values in docs and defaults.
+* :ghpull:`16270`: numpydoc-ify SymLogNorm
+* :ghpull:`16274`: Tiny cleanups to set_xlabel(..., loc=...).
+* :ghpull:`16273`: DOC: Changing the spelling of co-ordinates.
+* :ghpull:`15974`: Enable set_{x|y|}label(loc={'left'|'right'|'center'}...)
+* :ghpull:`16248`: Update matplotlib.__doc__.
+* :ghpull:`16262`: Dedupe update of rcParams["backend"] in use() and in switch_backend()
+* :ghpull:`9629`: Make pcolor(mesh) preserve all data
+* :ghpull:`16254`: DOC: pdf.preamble --> pgf.preamble
+* :ghpull:`16245`: Cleanup image docs
+* :ghpull:`16117`: CI: Unify required dependencies installation
+* :ghpull:`16240`: Cleanup custom_scale example.
+* :ghpull:`16227`: Make Animation.repeat_delay an int, not an int-or-None.
+* :ghpull:`16242`: CI: Remove PYTHONUNBUFFERED=1 on Appveyor
+* :ghpull:`16183`: Remove some baseline images for plot() tests.
+* :ghpull:`16229`: And more missing refs.
+* :ghpull:`16215`: Concise dates test
+* :ghpull:`16233`: Reword ScalarFormatter docstrings.
+* :ghpull:`16218`: Cleanup animation docs.
+* :ghpull:`16172`: And more missing references.
+* :ghpull:`16205`: Deprecate the empty matplotlib.compat.
+* :ghpull:`16214`: Fix overindented line in AnchoredOffsetbox doc.
+* :ghpull:`15943`: Deprecate the TTFPATH & AFMPATH environment variables.
+* :ghpull:`16039`: Deprecate unused features of normalize_kwargs.
+* :ghpull:`16202`: Remove outdated statement in tight_layout guide.
+* :ghpull:`16201`: UnCamelCase examples.
+* :ghpull:`16194`: Numpydoc ticklabel_format.
+* :ghpull:`16195`: Numpydoc ContourSet.find_nearest_contour.
+* :ghpull:`16198`: Remove em dash
+* :ghpull:`16199`: Do not use camel case for variables in examples
+* :ghpull:`15644`: Rewrite cursor example to include speedup possibilities
+* :ghpull:`16196`: Cleanup patches docstrings.
+* :ghpull:`16184`: Expire a mpl2.2-deprecated API
+* :ghpull:`16188`: Remove ref. to non-existent method in animation tests.
+* :ghpull:`16170`: Deprecate old and little used formatters.
+* :ghpull:`16187`: Fix overly long lines in examples & tutorials.
+* :ghpull:`15982`: Colorbar cleanup.
+* :ghpull:`16154`: Deprecate setting pickradius via set_picker
+* :ghpull:`16174`: Numpydocify artist.getp().
+* :ghpull:`16165`: Remove rcParams deprecated in mpl3.0/3.1.
+* :ghpull:`16141`: Update _base.py
+* :ghpull:`16169`: Add missing spaces after commas.
+* :ghpull:`15847`: Remove some dead branches from texmanager code.
+* :ghpull:`16125`: Fix more missing references again.
+* :ghpull:`16150`: Simplify transforms addition.
+* :ghpull:`16152`: Inline _init_axes_pad into Grid.__init__.
+* :ghpull:`16129`: Deprecate some Transform aliases in scale.py.
+* :ghpull:`16162`: (Mostly) avoid the term "command" in the docs.
+* :ghpull:`16159`: Simple cleanups for contour.py.
+* :ghpull:`16164`: Fix trivial typo in deprecation warning message.
+* :ghpull:`16160`: Cleanup hist() docstring.
+* :ghpull:`16149`: DOC: reword density desc in ``ax.hist``
+* :ghpull:`16151`: Remove outdated comment re: blended transforms.
+* :ghpull:`16102`: Rework example "Scatter Star Poly" to "Marker examples"
+* :ghpull:`16134`: Validate Line2D pickradius when setting it, not when reading it.
+* :ghpull:`15019`: Add step option where='edges' to facilitate pre-binned hist plots
+* :ghpull:`16142`: Avoid using np.r\_, np.c\_.
+* :ghpull:`16146`: Remove LICENSE_CONDA.
+* :ghpull:`16133`: Reword docstring of Line2D.contains.
+* :ghpull:`16120`: Minor fontproperty fixes.
+* :ghpull:`15670`: Reuse Grid.__init__ in ImageGrid.__init__.
+* :ghpull:`16025`: Deprecate update_datalim_bounds.
+* :ghpull:`16001`: Remove parameters deprecated in 3.1
+* :ghpull:`16049`: Add __repr__ to SubplotSpec.
+* :ghpull:`16100`: Consistently name event callbacks on_[event]
+* :ghpull:`16106`: In DraggableLegend, inherit DraggableBase.artist_picker.
+* :ghpull:`16109`: Name Axes variables ax instead of a
+* :ghpull:`16115`: Fix more missing references.
+* :ghpull:`16096`: Deprecate unused parameters
+* :ghpull:`16085`: Improve docstrings in offsetbox.py
+* :ghpull:`16097`: Cleanup unused variables
+* :ghpull:`16101`: Fix incorrect doc regarding projections.
+* :ghpull:`16095`: Deprecate MovieWriter.{exec,args}_key, making them private.
+* :ghpull:`16078`: Refactor a bit animation start/save interaction.
+* :ghpull:`16081`: Delay resolution of animation extra_args.
+* :ghpull:`16088`: Use C++ true/false in ttconv.
+* :ghpull:`16082`: Defaut to writing animation frames to a temporary directory.
+* :ghpull:`16070`: Make animation blit cache robust against 3d viewpoint changes.
+* :ghpull:`5056`: MNT: more control of colorbar with CountourSet
+* :ghpull:`16051`: Deprecate parameters to colorbar which have no effect.
+* :ghpull:`16045`: Use triple-double-quotes for docstrings
+* :ghpull:`16076`: Cleanup path_editor example.
+* :ghpull:`16059`: Simplify colorbar test.
+* :ghpull:`16072`: Cleanup category.py docstrings.
+* :ghpull:`15769`: scatter() should not rescale if norm is given
+* :ghpull:`16060`: Cleanup pcolor_demo.
+* :ghpull:`16057`: Trivial docstring fix for cbook.deprecated.
+* :ghpull:`16043`: Simplify some comparisons
+* :ghpull:`16044`: Code style cleanup
+* :ghpull:`15894`: rcsetup cleanups.
+* :ghpull:`16050`: Unbreak CI.
+* :ghpull:`16034`: Update comments re: colors._vector_magnitude.
+* :ghpull:`16035`: Make eventplot use the standard alias resolution mechanism.
+* :ghpull:`15798`: Better default behavior for boxplots when rcParams['lines.marker'] is set
+* :ghpull:`16004`: Improve documentation of text module
+* :ghpull:`15507`: Use FixedFormatter only with FixedLocator
+* :ghpull:`16008`: Remove unused imports
+* :ghpull:`16036`: Rely on pytest to record warnings, rather than doing it manually.
+* :ghpull:`15734`: Fix home/forward/backward buttons for 3d plots.
+* :ghpull:`16038`: Cleanup contour_demo.
+* :ghpull:`15998`: Join marker reference and marker fiillstyle reference
+* :ghpull:`15976`: Cleanup span_where.
+* :ghpull:`15990`: Remove deprecated support for setting single property via multiple aliases
+* :ghpull:`15940`: Some unicode-support related cleanups.
+* :ghpull:`15836`: Compactify a bit the EventCollection tests.
+* :ghpull:`16013`: Relayout some conditions in axes_grid.
+* :ghpull:`16010`: Inherit the Artist.draw docstring in subclasses.
+* :ghpull:`16017`: Document support for no-args plt.subplot() call.
+* :ghpull:`16014`: Simplify calls to AxesGrid/ImageGrid.
+* :ghpull:`16012`: Normalize aspect="equal" to aspect=1 in the setter.
+* :ghpull:`15997`: Shorten wx _onMouseWheel.
+* :ghpull:`15993`: Style fixes for axes_divider.
+* :ghpull:`15989`: Simplify Artist.update.
+* :ghpull:`16015`: Some small extension cleanups
+* :ghpull:`16011`: Replace axes_size.Fraction by multiplication.
+* :ghpull:`15719`: Templatize spectral helpers.
+* :ghpull:`15995`: Remove toolkit functions deprecated in 3.1
+* :ghpull:`16003`: prevent needless float() conversion
+* :ghpull:`16000`: De-deprecate \*min/\*max parameters to set_x/y/zlim()
+* :ghpull:`15684`: Avoid RuntimeError at wx exit.
+* :ghpull:`15992`: Avoid using np.matrix.
+* :ghpull:`15961`: Be more opinionated for setting up a dev env.
+* :ghpull:`15991`: Avoid setting dtypes as strings...
+* :ghpull:`15985`: Remove unnecessary :func:, :meth: from examples markup.
+* :ghpull:`15983`: Fix some examples docstrings.
+* :ghpull:`15979`: Remove references to scipy cookbook.
+* :ghpull:`15966`: FIX: check subplot kwargs
+* :ghpull:`15947`: Merge the two usetex demos.
+* :ghpull:`15939`: Exceptions should start with a capital letter
+* :ghpull:`15948`: Use rc_context more.
+* :ghpull:`15962`: Add tests for IndexFormatter
+* :ghpull:`15965`: Test registering cmaps
+* :ghpull:`15950`: Remove deprecated TextWithDash
+* :ghpull:`15942`: Update docs of type1font
+* :ghpull:`15927`: Trying to set the labels without setting ticks through pyplot now raises TypeError*
+* :ghpull:`15944`: Minor doc cleanups
+* :ghpull:`15945`: Do not use "object" or "instance" when documenting types
+* :ghpull:`15897`: Cleanup TriAnalyzer docs
+* :ghpull:`15777`: Don't bother disconnecting idle_draw at gtk shutdown.
+* :ghpull:`15929`: Remove unused cbook._lockstr.
+* :ghpull:`15935`: Raise an ValueError when Axes.pie accepts negative values #15923
+* :ghpull:`15895`: Deprecate unused illegal_s attribute.
+* :ghpull:`15900`: Rewrite test_cycles to avoid image comparison tests.
+* :ghpull:`15892`: Update docs of backend_manager
+* :ghpull:`15878`: Remove API deprecated in 3.1
+* :ghpull:`15928`: DOC: use markers as slanted breaks in broken axis example
+* :ghpull:`14659`: Update some widget docstrings.
+* :ghpull:`15919`: Remove mod_python specific code.
+* :ghpull:`15883`: Improve error when passing 0d array to scatter().
+* :ghpull:`15907`: More docstrings cleanup.
+* :ghpull:`15906`: Cleanup legend docstrings.
+* :ghpull:`15776`: Improve doc for data kwarg.
+* :ghpull:`15904`: Deemphasize ACCEPTS blocks in documenting_mpl docs.
+* :ghpull:`15891`: Mark self.* expressions in docstrings as literal
+* :ghpull:`15875`: Deprecate implicit creation of colormaps in register_cmap()
+* :ghpull:`15885`: Cleanup text.py docstrings.
+* :ghpull:`15888`: Cleanup backend_bases docs.
+* :ghpull:`15887`: Fix AnnotationBbox docstring.
+* :ghpull:`15858`: Avoid some uses of len-1 tuples.
+* :ghpull:`15873`: Standardize parameter types in docs
+* :ghpull:`15874`: Cleanup backend_bases docs
+* :ghpull:`15876`: Deprecate case-insensitive capstyles and joinstyles.
+* :ghpull:`15877`: Suppress exception chaining on rc validator failure.
+* :ghpull:`15880`: Use True/False instead of 0/1 as booleans in backend_ps.
+* :ghpull:`15827`: Fix validation of linestyle in rcparams and cycler.
+* :ghpull:`15850`: Docstrings cleanup in matplotlib.axes
+* :ghpull:`15853`: np.abs -> (builtins).abs
+* :ghpull:`15854`: Simplify Axes3D init.
+* :ghpull:`15822`: More cleanup defaults in docstrings
+* :ghpull:`15838`: Remove some references to Py2.
+* :ghpull:`15834`: Optimize colors.to_rgba.
+* :ghpull:`15830`: Allow failure on nightly builds.
+* :ghpull:`15788`: Fixes pyplot xticks() and yticks() by allowing setting only the labels
+* :ghpull:`15805`: Improve docs on figure size
+* :ghpull:`15783`: Fix stepfilled histogram polygon bottom perimeter
+* :ghpull:`15812`: Cleanup defaults in docstrings
+* :ghpull:`15804`: Cleanup many docstrings.
+* :ghpull:`15790`: Update docs of PolyCollection
+* :ghpull:`15792`: Cleanup dviread docs.
+* :ghpull:`15801`: Cleanup some references to rcParams in docs.
+* :ghpull:`15787`: Cleanup ``Colormap.__call__``.
+* :ghpull:`15766`: Shorten description on search page
+* :ghpull:`15786`: Slightly clarify the implementation of safe_masked_invalid.
+* :ghpull:`15767`: Update badges in README.rst
+* :ghpull:`15778`: Fix typos and comma splices in legend guide
+* :ghpull:`15775`: Some pathlibification.
+* :ghpull:`15772`: Directly dedent the spectral parameter docs.
+* :ghpull:`15765`: Reword some docstrings.
+* :ghpull:`15686`: Simplify and unify character tracking in pdf and ps backends (with linked fonts)
+* :ghpull:`9321`: Add Axes method for drawing infinite lines
+* :ghpull:`15749`: Fix travis links in README
+* :ghpull:`15673`: Rely on findfont autofallback-to-default in pdf/ps backends.
+* :ghpull:`15740`: Small animation cleanup.
+* :ghpull:`15739`: ImageMagick animators now can use extra_args
+* :ghpull:`15591`: Remove FAQ on 'Search' -- already referenced in search file
+* :ghpull:`15629`: Consistently use realpaths to build XObject names
+* :ghpull:`15696`: Improve mathtext.fontset docs and fix :mathmpl: cache bug.
+* :ghpull:`15721`: Render default values in :rc: directive as literal
+* :ghpull:`15720`: Suppress triage_tests warning on Py3.8.
+* :ghpull:`15709`: Make 3d plot accept scalars as arguments.
+* :ghpull:`15711`: Don't explicitly list scalez kwarg in Axes3D constructor and docs.
+* :ghpull:`14948`: Simplify Tick and Axis initialization.
+* :ghpull:`15693`: Also test PySide2 on CI.
+* :ghpull:`15701`: Tried to solve Issue #15650: Print URL when webbrowser.open Fails
+* :ghpull:`15704`: Fix more broken refs.
+* :ghpull:`15687`: Add tooltips to HTML animation controls
+* :ghpull:`15592`: Offset text position
+* :ghpull:`15697`: Fix some broken doc refs.
+* :ghpull:`15700`: Parametrize some spectral tests.
+* :ghpull:`15699`: Fix some incorrect ValueErrors.
+* :ghpull:`15698`: Bump numpy dependency to >=1.15.
+* :ghpull:`15694`: Handle upcoming deprecation of np.float.
+* :ghpull:`15691`: Correctly handle high dpi in Pillow animation writer.
+* :ghpull:`15676`: Doc adopt nep29
+* :ghpull:`15692`: Update FUNDING.yml
+* :ghpull:`15645`: Bump minimal numpy version to 1.12.
+* :ghpull:`15646`: Hide sphinx-gallery config comments
+* :ghpull:`15642`: Remove interpolation="nearest" from most examples.
+* :ghpull:`15671`: Don't mention tcl in tkagg commments anymore.
+* :ghpull:`15607`: Simplify tk loader.
+* :ghpull:`15651`: Simplify axes_pad handling in axes_grid.
+* :ghpull:`15652`: Remove mention of Enthought Canopy from the docs.
+* :ghpull:`15655`: Remove outdated license files.
+* :ghpull:`15639`: Simplify axes_grid.Grid/axes_grid.ImageGrid construction.
+* :ghpull:`15640`: Remove some commented-out code from axes_grid.
+* :ghpull:`15643`: Fix examples claiming matplotlib can't plot np.datetime64.
+* :ghpull:`15375`: Add note to hist docstring about speed
+* :ghpull:`15461`: Fix invalid checks for axes_class parameter in ImageGrid.
+* :ghpull:`15635`: Deprecate "U" mode passed to cbook.to_filehandle().
+* :ghpull:`15563`: In backend_pgf, directly open subprocess in utf8 mode.
+* :ghpull:`15462`: Simplify azure setup.
+* :ghpull:`13075`: Remove logic for optionally building Agg and TkAgg.
+* :ghpull:`15262`: Declare qt figureoptions tool in toolitems.
+* :ghpull:`15292`: Shorten RendererWx.get_wx_font.
+* :ghpull:`15569`: Allow linking against a system qhull as well.
+* :ghpull:`15589`: Make sure that figures are closed when check_figures_equal finishes
+* :ghpull:`15465`: Validate and simplify set_tick_params(which=...)
+* :ghpull:`15090`: Coerce MxNx1 images into MxN images for imshow
+* :ghpull:`15578`: BLD: set the max line length on the flake8 config
+* :ghpull:`15564`: Use True instead of 1 as filternorm default
+* :ghpull:`15536`: Add a backend kwarg to savefig.
+* :ghpull:`15571`: Cleanup following using Pillow as universal image reader
+* :ghpull:`15476`: Default to local_freetype builds.
+* :ghpull:`15557`: Skip failing pgf test when sfmath.sty is not present.
+* :ghpull:`15555`: Add pgf to list of builtin backends in docs.
+* :ghpull:`15534`: BLD: update pillow dependency
+* :ghpull:`15427`: Separate plots using #### in demo_fixed_size_axes.py
+* :ghpull:`15505`: Cleanup axisartist tutorial.
+* :ghpull:`15506`: Rename locator.den to the clearer locator.nbins in mpl_toolkits.
+* :ghpull:`15502`: Get rid of trivial compiler warning.
+* :ghpull:`15451`: Ci py38
+* :ghpull:`15484`: Cleanup docs regarding compilers.
+* :ghpull:`15467`: Validate locator_params(axis=...)
+* :ghpull:`15330`: Add axes method for drawing infinite lines.
+* :ghpull:`15482`: Trivial style fixes to constrained_layout.
+* :ghpull:`15418`: Use correct pip/pytest on azure
+* :ghpull:`15466`: Update tick_params() docs
+* :ghpull:`15463`: Remove staticbuild option from setup.cfg.template.
+* :ghpull:`15378`: Don't link ft2font to zlib by default.
+* :ghpull:`15270`: When no gui event loop is running, propagate callback exceptions.
+* :ghpull:`15447`: Move testing of Py3.8 to Travis.
+* :ghpull:`15431`: Fix range(len()) usages
+* :ghpull:`15390`: Simplify implementation of vectorized date operations.
+* :ghpull:`15403`: Fix DeprecationWarning in nightly testing
+* :ghpull:`15394`: Deprecate {NonUniformImage,PcolorImage}.is_grayscale.
+* :ghpull:`15400`: Updated INSTALL.rst to correct install commands
+* :ghpull:`13788`: Autoscale for ax.arrow()
+* :ghpull:`15367`: Update the readme on providing  API changes
+* :ghpull:`15193`: Switch to using pillow for png as well.
+* :ghpull:`15346`: vectorized calc_arrow loop in quiver
+* :ghpull:`15011`: Adding example for drawstyle
+* :ghpull:`15371`: Deprecate Colorbar.config_axis()
+* :ghpull:`15361`: Update next API changes to new structure
+* :ghpull:`15274`: NavigationToolbar2Tk: make packing optional.
+* :ghpull:`15158`: Change the way API changes are documented
+* :ghpull:`15356`: Fix broken imports.
+* :ghpull:`15200`: Simplify SubplotParams.update().
+* :ghpull:`15210`: Explicitly list allowed "unused" imports, remove the rest.
+* :ghpull:`15348`: Some figure and related docs cleanup
+* :ghpull:`13355`: Simplify and generalize BezierSegment.
+* :ghpull:`14917`: ENH: box aspect for axes
+* :ghpull:`14949`: Use fix_minus in format_data_short.
+* :ghpull:`15341`: Move non-gui warning message to backend_bases.
+* :ghpull:`15335`: Add discourse link to readme
+* :ghpull:`15293`: Fixes for wx savefig dialog.
+* :ghpull:`15324`: Update PR guidelines
+* :ghpull:`15301`: Update colorbar docs
+* :ghpull:`15340`: Always attach a manager attribute (possibly None) on canvas.
+* :ghpull:`15319`: Make validate_movie_writer actually check registered writers.
+* :ghpull:`10973`: PGF: Replace \pgfimage by \includegraphics to fix \import regression
+* :ghpull:`15302`: fix warning used by cbook.warn_deprecated()
+* :ghpull:`15321`: Sort missing_references.json.
+* :ghpull:`15290`: Unify fig.delaxes(ax) and ax.remove().
+* :ghpull:`15309`: Simplify sca().
+* :ghpull:`15201`: Autogenerate gca(), gci() from boilerplate.py.
+* :ghpull:`15305`: Autogenerate footer Copyright year
+* :ghpull:`15294`: Replace custom logging in wx by stdlib logging.
+* :ghpull:`15288`: More properties aliases.
+* :ghpull:`15286`: throw deprecation warning on empty call to fig.add_axes()
+* :ghpull:`15282`: Colorbar cleanup.
+* :ghpull:`15250`: Cleanup font_manager.
+* :ghpull:`13581`: Cleanup _pylab_helpers.
+* :ghpull:`15273`: DOC: don't use term units in transform tutorial
+* :ghpull:`15263`: Correctly setup comparisons in test_compare_images.
+* :ghpull:`15226`: Turn gtk3 pan/zoom button into togglable buttons.
+* :ghpull:`14609`: Simplify implementation of set_{x,y}bound.
+* :ghpull:`15261`: Change layout of test_triager to avoid cropping images.
+* :ghpull:`15236`: Dedupe SubplotSpec construction in mpl_toolkits.
+* :ghpull:`14130`: Add decorator to inherit keyword-only deprecations
+* :ghpull:`15249`: In findfont(fallback_to_default=False), throw if default font is missing
+* :ghpull:`15175`: Simplify pdf image output.
+* :ghpull:`7506`: [WIP] Add Axes method for drawing infinite lines.
+
+Issues (198):
+
+* :ghissue:`16501`: Setting a thetalim > 2pi gives odd results
+* :ghissue:`15035`: security exposure in the packaged jquery library
+* :ghissue:`10375`: Coordinate text wrapping in navigation toolbar
+* :ghissue:`10720`: Option to set the text color in legend to be same as the line
+* :ghissue:`17868`: plt.bar with nan input fails rendering in notebook using 3.3.0rc1
+* :ghissue:`17773`: gtk3 rubberband is invisible
+* :ghissue:`5726`: Cursor displays x, y coordinates with too much or too little precision
+* :ghissue:`5164`: Sort out qt_compat
+* :ghissue:`17905`: macosx backend warns when using the zoom method
+* :ghissue:`17703`: QuadMesh.get_clim changed behavior in 3.3.0rc1
+* :ghissue:`17875`: animation.writers['ffmpeg']" is hung when run in background.
+* :ghissue:`17591`: Single-character colors do not match long names
+* :ghissue:`16905`: if pie normalizes depends on input values
+* :ghissue:`17829`: trunk fails to build in AIX
+* :ghissue:`17820`: Regression: _reshape_2D no longer preserves the shape of lists of lists of one scalar each
+* :ghissue:`17807`: "%matplotlib notebook" Download is Noise After Interacting with Plot
+* :ghissue:`17763`: matplotlib.use('agg', force=True) does not ignore unavailable configured backend
+* :ghissue:`17586`: Surprising datetime autoscaling after passing empty data
+* :ghissue:`17792`: when using plt.tight_layout(), figure title overlaps subplot titles
+* :ghissue:`17736`: ax.set_xticklabels([]) for categorical plots is broken in 3.3.0rc1
+* :ghissue:`17757`: Plotting Hist with histtype 'stepfilled' does not respect bottom correctly
+* :ghissue:`17744`: BUG: AttributeError: 'FigureCanvasBase' object has no attribute 'print_png' in 3.3rc0
+* :ghissue:`17730`: Using backend Template and plt.tight_layout raises UnboundLocalError
+* :ghissue:`17716`: Error using "set_window_title" for canvas via backend_qt5agg
+* :ghissue:`17681`: PDF cannot be built due to Zenodo SVGs
+* :ghissue:`17627`: AttributeError: 'Figure' object has no attribute '_cachedRenderer'
+* :ghissue:`17658`: Feature request: Add advanced zoom and inspect feature to GUI for more productivity
+* :ghissue:`17629`: Use of Python deprecated APIs.
+* :ghissue:`17670`: BUG: Setting ticksize xx-small broken by #17348
+* :ghissue:`17673`: RuntimeError: latex was not able to process the following string: b'$\\\\mathdefault{-2}$'
+* :ghissue:`17412`: Document the dependency on the type1ec LaTeX package
+* :ghissue:`17643`: AutoDateLocator docs has a typo
+* :ghissue:`9118`: make TeXManager more user-configurable
+* :ghissue:`11131`: Make pyplot.pause not give focus to the figure window
+* :ghissue:`17646`: more conservative setattr_cm broke mplcairo
+* :ghissue:`17634`: Cannot copy LinearSegmentedColormap
+* :ghissue:`16496`: Single path optimisation for Collection w/ offsets broken
+* :ghissue:`192`: Savefig does not issue a warning on a non-existent keyword n
+* :ghissue:`17624`: _DummyAxis needs a __name__ attribute for ScalarFormatter
+* :ghissue:`16910`: Axes.imshow draws invalid color at value is 0 when max of 'X' not equal to vmax
+* :ghissue:`17637`: streamplot and sticky edges interaction
+* :ghissue:`17633`: Stackplot fails for small numbers
+* :ghissue:`17616`: waitforbuttonpress in Linux
+* :ghissue:`17615`: small bug in documentation of backend.FigureCanvasBase.start_event_loop
+* :ghissue:`17093`: Zero size figure use case
+* :ghissue:`17608`: How avoid PyQt5 to crash when I move Qslitter to the edge with a matplotlib figure in it?
+* :ghissue:`9829`: Vertices clipped for certain markers when plotting more than two points and saving as pdf
+* :ghissue:`15815`: bar3d color length bug
+* :ghissue:`15376`: ScalarFormatter.set_powerlimits documentation seems inconsistent
+* :ghissue:`17595`: Master doc builds broken
+* :ghissue:`16482`: Pyplot hlines and vlines do not use the 'lines.color' property in rcParams by default
+* :ghissue:`16388`: rethink how we display DOI svg badges
+* :ghissue:`17172`: set_aspect for 3D plots
+* :ghissue:`16463`: Jupyter "inline" backend seems to misinterpret "figsize" with Axes3D
+* :ghissue:`17527`: The markers are not hollow when I use ax.scatter() and set markers.MarkerStyle()'s fillstyle to 'none'. My usage is wrong?
+* :ghissue:`7491`: sort out if the high-resolution ellipse code still works
+* :ghissue:`17398`: Plotting an error band along a curve
+* :ghissue:`8550`: Matplotlib chooses the wrong font for unrecognized weights
+* :ghissue:`8788`: Font issue: findfonts should differentiate between thin and regular ttf fonts
+* :ghissue:`10194`: legend is not present in the generated image if I use 'tight' for bbox_inches
+* :ghissue:`17336`: set_url without effect for instances of Line2D
+* :ghissue:`9695`: set_url() without effect in the plot for instances of Tick
+* :ghissue:`17192`: How to change the thickness of the marker "x" when using scatter?
+* :ghissue:`17507`: pyplot.savefig() throwing warning suggesting a bug (possibly in figManger)
+* :ghissue:`17502`: dict unpacking broken for ``.plot`` in 3.2
+* :ghissue:`15546`: plt.imshow: clip_on=False has no effect
+* :ghissue:`17023`: DOC: Tutorial/Sample plots should use same fig/axis creation method
+* :ghissue:`7537`: Conflict between different AGG static libraries in a same binary
+* :ghissue:`16836`: Dropping support for PyQt4; preparing support for PyQt6.
+* :ghissue:`17455`: LightSource.shade fails on a masked array
+* :ghissue:`16353`: BUG: VisibleDeprecationWarning in boxplot
+* :ghissue:`11820`: Compressed Triangulation Masking in CubicTriInterpolator
+* :ghissue:`11823`: Animation Examples
+* :ghissue:`15410`: Change in OSX Catalina makes matplotlib + multiprocessing crash
+* :ghissue:`17467`: Bug Report: saved Figure ignores figure.facecolor
+* :ghissue:`17343`: Regression in add_subplot..
+* :ghissue:`7093`: ordering issues between ``set_xmargin`` and ``set_xscale``
+* :ghissue:`13971`: Unnecessary drawing with NbAgg
+* :ghissue:`17432`: Scatter accepts marker=MarkerStyle(), but plot does not
+* :ghissue:`15675`: Boxplot line color with style dark_background should be bright
+* :ghissue:`5962`: No output from pyplot on cygwin64 python3 virtualenv
+* :ghissue:`17393`: TexManager.get_rgba fails
+* :ghissue:`5830`: Incorrect overlap of markers in scatter3D
+* :ghissue:`11937`: Limiting ticks on colorbar axes falsify tick labels.
+* :ghissue:`17354`: Converter detection fails for inkscape if on headless system without DISPLAY
+* :ghissue:`17352`: Zoom In-Out not behaving  as expected in QT backend example
+* :ghissue:`15409`: Datetime plot fails with 'Agg' backend in interactive mode
+* :ghissue:`14155`: Adding GridSpec.subplots?
+* :ghissue:`16583`: matplotlibrc validates some parameters wrongly
+* :ghissue:`16946`: Pick_event on AnnotationBbox fires at wrong position
+* :ghissue:`15131`: set_size_inches doesn't resize window on macosx backend
+* :ghissue:`7619`: Figure background colors
+* :ghissue:`15899`: Describe possible kwargs that may be input into a function
+* :ghissue:`17304`: constrained-layout gives wrong results when explicitly equal width ratios are set
+* :ghissue:`17295`: DOC: https://matplotlib.org/api/_as_gen/matplotlib.quiver.Quiver.html
+* :ghissue:`17294`: DOC: matplotlib.axes.Axes.annotate.html
+* :ghissue:`17290`: backend_svg fails with dashed line style
+* :ghissue:`16677`: tmp_config_or_cache_dir atexit cleanup fails after forks()
+* :ghissue:`15091`: Turbo color map
+* :ghissue:`7372`: Moving get_ax and do_event to testing
+* :ghissue:`15225`: Show offset text on subplots after sharing axis
+* :ghissue:`7138`: misplaced spines in dates plot
+* :ghissue:`17243`: Misleading error message in _parse_scatter_color_args
+* :ghissue:`16461`: Hexbin if singular and mincnt used
+* :ghissue:`14596`: forward port jquery removal from ipympl
+* :ghissue:`17217`: Transform operators are not publicly documented....
+* :ghissue:`2253`: matplotlib makes python lose focus
+* :ghissue:`7184`: margins does not handle bézier curves
+* :ghissue:`16830`: ``_path.get_extents`` does not correctly handle bezier curves
+* :ghissue:`17176`: Print figure using PS backend is needlessly slow
+* :ghissue:`17141`: flake8-docstrings does not check all of our requirements
+* :ghissue:`16567`: Let legend get the handles from the provided objects if not specified explicitly.
+* :ghissue:`16805`: Titles cannot be padded to negative numbers anymore.
+* :ghissue:`17114`: ``add_axes`` shows deprecation warning when called with only ``kwarg``\s
+* :ghissue:`16885`: Change return type get_{x,y}ticklabels to plain list
+* :ghissue:`17044`: widgets.TextBox continuously creates new text objects and linecollection objects.
+* :ghissue:`17066`: documentation of animation contains non-working code example
+* :ghissue:`16588`: Rename next_api_changes to api_changes_3.x (whatever number makes sense)
+* :ghissue:`17015`: ``get_major_ticks`` docs missing return type
+* :ghissue:`16976`: Thin line color distortion on large scale
+* :ghissue:`16934`: gtk3 window immediately resizes down to zero-height upon showing up.
+* :ghissue:`16941`:  test_determinism_check is failing (sometimes)
+* :ghissue:`16982`: pyplot.rgrids don't do anything
+* :ghissue:`16952`: How to solve an error of "ValueError: Key backend: Unrecognized backend string '"agg"'
+* :ghissue:`15272`: Axes.violinplot has small issue in using pandas.DataFrame without index 0.
+* :ghissue:`16926`: tk window immediately resizes down to zero-height upon showing up.
+* :ghissue:`16919`: wx backends don't send close_event if window is closed via "q" keypress
+* :ghissue:`16854`: small typo in the documentation
+* :ghissue:`16895`: offset text still visible with ImageGrid axis "L"
+* :ghissue:`12712`: Autoscale does not work for ax.arrow()
+* :ghissue:`14208`: shift + w does not close all figures (has no effect)
+* :ghissue:`15745`: Failed to add annotate to figure
+* :ghissue:`11432`: Pressing the "1" key kills the zoom/pan tool
+* :ghissue:`13799`: BUG: incorrect error bar colors when NaN values are present
+* :ghissue:`16185`: hist demo appears to incorrectly mention ``normed`` and something odd about ``density`` as well.
+* :ghissue:`15203`: Closing figures is done by number
+* :ghissue:`16016`: Better argument checking of subplot definition in ``add_subplot()``
+* :ghissue:`15980`: Is the reset of the colorbar's edgecolor when updating the corresponding image clim wanted behaviour?
+* :ghissue:`16718`: Float figure DPI
+* :ghissue:`16498`: long string of format_coord in osx backend
+* :ghissue:`8405`: BUG: PDF export seems wrong with dash sequences that include a None offset
+* :ghissue:`8619`: Feature request: allow mathtext fallback font other than Computer Modern for custom mathtext setup
+* :ghissue:`14996`: format error saving eps figure using custom linestyle
+* :ghissue:`16493`: Example/tutorials warn due to new pcolormesh shading
+* :ghissue:`16022`: Cleanup Artist.draw() signatures
+* :ghissue:`16389`: “Size� ignored if placed before fontproperties
+* :ghissue:`16687`: Creating a figure of size (0, 0) raises an error
+* :ghissue:`12729`: Docs for contour levels argument is incorrect
+* :ghissue:`16593`: specifying ecolor in errobar turns off cycling
+* :ghissue:`15621`: secondary_xaxis doesn't seem to use formatters
+* :ghissue:`16116`: travis36minver.txt needs an update
+* :ghissue:`16546`: Problem with eventplot - error message claims events & lineoffsets are unequal sizes
+* :ghissue:`16462`: Allow wedges of polar plots to include theta = 0.
+* :ghissue:`15142`: pyplot.annotate() API deprecation
+* :ghissue:`16479`: font-stretch property missing in svg export
+* :ghissue:`14304`: 'NSWindow drag regions should only be invalidated on the Main Thread!' - macos/python
+* :ghissue:`12085`: Tcl_AsyncDelete: async handler deleted by the wrong thread
+* :ghissue:`14669`: cm.ScalarMappable should fail early when norm input is wrong
+* :ghissue:`16468`: incorrect cbar minor ticks for extend regions when x/ytick.minor.visible is True
+* :ghissue:`16243`: windows builds: devenv freetype /update appears not to have an effect
+* :ghissue:`11525`: Axes3D scatter plot for Numpy arrays in F-order does not give correct z-values
+* :ghissue:`8894`: mplot3d projection results in non-orthogonal axes
+* :ghissue:`1104`: Resizing a GUI window with Axes3D
+* :ghissue:`16371`: Incomplete documentation in axes_grid1
+* :ghissue:`6323`: Vertical alignment of tick labels with usetex=True
+* :ghissue:`7957`: clabel not respecting zorder parameter
+* :ghissue:`16252`: axes.spy plotting function doesn't respect origin='lower' kwarg when marker is not None
+* :ghissue:`16299`: The interactive polar plot animation's axis label won't scale.
+* :ghissue:`15182`: More tests ``ConciseDateFormatter`` needed
+* :ghissue:`16140`: Unclear Documentation for get_xticklabels
+* :ghissue:`16147`: pp.hist parmeter 'density' does not scale data appropriately
+* :ghissue:`16069`: matplotlib glitch when rotating interactively a 3d animation
+* :ghissue:`14603`: Scatterplot: should vmin/vmax be ignored when a norm is specified?
+* :ghissue:`15730`: Setting lines.marker = s in matplotlibrc also sets markers in boxplots
+* :ghissue:`11178`: home/back/forward buttons do nothing in 3d mode
+* :ghissue:`14520`: pylab with wx backend not exiting cleanly
+* :ghissue:`15964`: Guard ``plt.subplot`` kwargs a bit better?
+* :ghissue:`15404`: Add python 3.8 tests
+* :ghissue:`15773`: Warning:... GLib.source_remove(self._idle_draw_id) when using plt.savefig()
+* :ghissue:`15923`: pie takes negative values
+* :ghissue:`10317`: Setting plt.rc('text', usetex=True) after ticker.ScalarFormatter(useMathText=True) causes Error
+* :ghissue:`15825`: Customised dashed linstyle in matplotlib.cycler throws ValueError when using in Axes.set_prop_cycle
+* :ghissue:`9792`: Error with linestyles rcParams entries under the form (on, off, ...) and a style context manager
+* :ghissue:`15782`: Invalid polygon in stepfilled histogram when bottom is set
+* :ghissue:`15628`: Invalid unicode characters in PDF when font is a symlink
+* :ghissue:`8577`: mplot3D scalar arguments for plot function
+* :ghissue:`15650`: URL is not shown when webagg failed to open the browser.
+* :ghissue:`5238`: the offset of the scientific notation in xaxis stays at bottom when axis is set to top
+* :ghissue:`15678`: Error at save animation with pillow
+* :ghissue:`15079`: check_figures_equal decorator reuses figures if called multiple times inside a single test.
+* :ghissue:`15089`: Coerce MxNx1 images into MxN images for imshow
+* :ghissue:`5253`: abline() - for drawing arbitrary lines on a plot, given specifications.
+* :ghissue:`15165`: Switch to requiring Pillow rather than having our own png wrapper?
+* :ghissue:`15280`: Add pull request checklist to Reviewers Guidlines
+* :ghissue:`15289`: cbook.warn_deprecated() should warn with a MatplotlibDeprecationWarning not a UserWarning
+* :ghissue:`15285`: DOC: make copy right year auto-update
+* :ghissue:`15059`: fig.add_axes() with no arguments silently does nothing
+* :ghissue:`14546`: Setting lines.markeredgecolor in rcParams affects the ticks' mark color too
diff --git a/doc/users/prev_whats_new/github_stats_3.3.1.rst b/doc/users/prev_whats_new/github_stats_3.3.1.rst
new file mode 100644
index 000000000000..3fa2d39a4d90
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.3.1.rst
@@ -0,0 +1,137 @@
+.. _github-stats-3-3-1:
+
+GitHub statistics for 3.3.1 (Aug 13, 2020)
+==========================================
+
+GitHub statistics for 2020/07/16 (tag: v3.3.0) - 2020/08/13
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 25 issues and merged 73 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/56?closed=1>`__
+
+The following 17 authors contributed 131 commits.
+
+* Antony Lee
+* Ben Root
+* Bruno Beltran
+* David Stansby
+* Elliott Sales de Andrade
+* Isuru Fernando
+* jbhopkins
+* Jody Klymak
+* Jouni K. Seppänen
+* Lee Johnston
+* linchiwei123
+* Neilzon Viloria
+* Ryan May
+* Thomas A Caswell
+* Tim Hoffmann
+* Tom Neep
+* Yichao Yu
+
+GitHub issues and pull requests:
+
+Pull Requests (73):
+
+* :ghpull:`18243`: Fix reshape list of strings
+* :ghpull:`18240`: Backport PR #18235 on branch v3.3.x
+* :ghpull:`18239`: Backport PR #18233 on branch v3.3.x (Fix cibuildwheel trigger condition.)
+* :ghpull:`18235`: FIX: check we have a back button in tk toolbar before we touch it
+* :ghpull:`18233`: Fix cibuildwheel trigger condition.
+* :ghpull:`18231`: Backport PR #18224 on branch v3.3.x (Try out cibuildwheel.)
+* :ghpull:`18224`: Try out cibuildwheel.
+* :ghpull:`18230`: Backport PR #18225 on branch v3.3.x (Use certifi when downloading bundled build requirements.)
+* :ghpull:`18225`: Use certifi when downloading bundled build requirements.
+* :ghpull:`18229`: Backport PR #18219 on branch v3.3.x (Fixes an issue where WxAgg NavigationToolbar2 broke custom toolbars)
+* :ghpull:`18219`: Fixes an issue where WxAgg NavigationToolbar2 broke custom toolbars
+* :ghpull:`18228`: Backport PR #18227 on branch v3.3.x (Set pipefail when running flake8 linter.)
+* :ghpull:`18227`: Set pipefail when running flake8 linter.
+* :ghpull:`18215`: Backport PR #18185 on branch v3.3.x (FIX: fix reading from http/https urls via imread)
+* :ghpull:`18214`: Backport PR #18184 on branch v3.3.x (Go back to checking figures for their manager in destroy.)
+* :ghpull:`18185`: FIX: fix reading from http/https urls via imread
+* :ghpull:`18184`: Go back to checking figures for their manager in destroy.
+* :ghpull:`18183`: Backport PR #17995 on branch v3.3.x (Avoid using Bbox machinery in Path.get_extents; special case polylines.)
+* :ghpull:`18182`: Backport PR #17994 on branch v3.3.x (Special case degree-1 Bezier curves.)
+* :ghpull:`18179`: Backport PR #18175 on branch v3.3.x (Downgrade symbol substitution log to info level.)
+* :ghpull:`18177`: Backport PR #18092 on branch v3.3.x (Use same Make as FreeType's configure to build it.)
+* :ghpull:`18174`: Backport PR #18167 on branch v3.3.x (Catch Pandas AssertionError on deprecated multidimensional indexing. Closes #18158)
+* :ghpull:`18176`: Backport PR #18173 on branch v3.3.x (Fix the return value of Axes.get_navigate_mode.)
+* :ghpull:`18175`: Downgrade symbol substitution log to info level.
+* :ghpull:`18092`: Use same Make as FreeType's configure to build it.
+* :ghpull:`18173`: Fix the return value of Axes.get_navigate_mode.
+* :ghpull:`18167`: Catch Pandas AssertionError on deprecated multidimensional indexing. Closes #18158
+* :ghpull:`18162`: Backport PR #18156 on branch v3.3.x (Fix IndexError when using scatter3d and depthshade=False)
+* :ghpull:`18156`: Fix IndexError when using scatter3d and depthshade=False
+* :ghpull:`18153`: Backport PR #18142 on branch v3.3.x (Fix nbagg in Chrome 84)
+* :ghpull:`18146`: Backport PR #17989 on branch v3.3.x (gtk/tk: Ensure no flicker when hovering over images.)
+* :ghpull:`18142`: Fix nbagg in Chrome 84
+* :ghpull:`18147`: Backport PR #18136 on branch v3.3.x (Sort 3d sizes along with other properties)
+* :ghpull:`18136`: Sort 3d sizes along with other properties
+* :ghpull:`17989`: gtk/tk: Ensure no flicker when hovering over images.
+* :ghpull:`18102`: Fix linting on v3.3.x
+* :ghpull:`18111`: Backport PR #18089 on branch v3.3.x
+* :ghpull:`18109`: Backport PR #18093 on branch v3.3.x (Improve saving animated GIF with ffmpeg)
+* :ghpull:`18089`: Revert "Convert adjust_bbox to use ExitStack."
+* :ghpull:`18093`: Improve saving animated GIF with ffmpeg
+* :ghpull:`18104`: Backport PR #18101 on branch v3.3.x (FIX: catch all multi-dim warnings pandas)
+* :ghpull:`18101`: FIX: catch all multi-dim warnings pandas
+* :ghpull:`18091`: ci: Fix linting being ignored by reviewdog
+* :ghpull:`18083`: Backport PR #18079 on branch v3.3.x (Set shading='auto' if invalid value passed to pcolormesh)
+* :ghpull:`18079`: Set shading='auto' if invalid value passed to pcolormesh
+* :ghpull:`18067`: Backport PR #17956 on branch v3.3.x (ENH: Add version check for mac sdk version)
+* :ghpull:`17956`: ENH: Add version check for mac sdk version
+* :ghpull:`18053`: Backport PR #18021: FIX: update num2julian and julian2num
+* :ghpull:`18021`: FIX: update num2julian and julian2num
+* :ghpull:`18041`: Backport PR #18038 on branch v3.3.x (FIX: use internal _set_postion, not external)
+* :ghpull:`18038`: FIX: use internal _set_postion, not external
+* :ghpull:`18036`: Backport PR #18030 on branch v3.3.x (Fix PolyCollection.set_verts optimization.)
+* :ghpull:`18030`: Fix PolyCollection.set_verts optimization.
+* :ghpull:`18032`: Backport PR #18026 on branch v3.3.x (FIX: Be sure matplotlib.backends is imported before we use it)
+* :ghpull:`18026`: FIX: Be sure matplotlib.backends is imported before we use it
+* :ghpull:`18027`: Backport PR #17981 on branch v3.3.x (gtk: Fix ``draw`` on unmapped windows.)
+* :ghpull:`17981`: gtk: Fix ``draw`` on unmapped windows.
+* :ghpull:`18024`: Backport PR #17963 on branch v3.3.x (TST: Ignore deprecations when switching backends.)
+* :ghpull:`18023`: Backport PR #18014 on branch v3.3.x (Fix flipped paths in non-writable config dir warning.)
+* :ghpull:`17963`: TST: Ignore deprecations when switching backends.
+* :ghpull:`18014`: Fix flipped paths in non-writable config dir warning.
+* :ghpull:`18008`: Backport PR #17969 on branch v3.3.x (Honor ``'Date': None`` in metadata)
+* :ghpull:`18009`: Backport PR #17982 on branch v3.3.x (BF: for degenerate polygons, add CLOSEPOLY vertex)
+* :ghpull:`17982`: BF: for degenerate polygons, add CLOSEPOLY vertex
+* :ghpull:`17969`: Honor ``'Date': None`` in metadata
+* :ghpull:`17995`: Avoid using Bbox machinery in Path.get_extents; special case polylines.
+* :ghpull:`17994`: Special case degree-1 Bezier curves.
+* :ghpull:`17990`: Manual backport of pr 17983 on v3.3.x
+* :ghpull:`17984`: Backport PR #17972 on branch v3.3.x (Fix PyPy compatiblity issue)
+* :ghpull:`17985`: Backport PR #17976 on branch v3.3.x (Fixed #17970 - Docstrings should not accessed with -OO)
+* :ghpull:`17983`: FIX: undeprecate and update num2epoch/epoch2num
+* :ghpull:`17976`: Fixed #17970 - Docstrings should not accessed with -OO
+* :ghpull:`17972`: Fix PyPy compatiblity issue
+
+Issues (25):
+
+* :ghissue:`18234`: _reshape_2D function behavior changed, breaks hist for some cases in 3.3.0
+* :ghissue:`18232`: different behaviour between 3.3.0 and 3.2.2 (and earlier) for ploting in a Tk canvas
+* :ghissue:`18212`: Updated WxAgg NavigationToolbar2 breaks custom toolbars
+* :ghissue:`18129`: Error reading png image from URL with imread in matplotlib 3.3
+* :ghissue:`18163`: Figure cannot be closed if it has associated Agg canvas
+* :ghissue:`17974`: Major speed regression introduced in "plt.bar" definition clipping between 3.0.3 and 3.3.0.
+* :ghissue:`17998`: New warning: Substituting symbol \perp from STIXGeneral
+* :ghissue:`18057`: Fails to install in FreeBSD
+* :ghissue:`18150`: Regression in get_navigate_mode() return value
+* :ghissue:`18158`: X-axis that is Pandas Series time zone aware timestamps raises AssertionError
+* :ghissue:`18037`: Scatter3D: depthshade=False causes IndexError for Tkinter when plotting more than one point.
+* :ghissue:`18169`: When running python with -OO option, an empty matplotlib docstring causes an exception.
+* :ghissue:`18165`: fig.colorbar() and using bbox='tight' in PDF export mess up figure dimensions
+* :ghissue:`18132`: A simple 3D scatter plot with %matplotlib notebook is not working
+* :ghissue:`18135`: Point size array in the Axes3D scatter() does not follow the same order as in the data points
+* :ghissue:`18061`: 3.3.0 regression in png backend with colorbar()
+* :ghissue:`18076`: pcolormesh + gourand shading + polar axes is broken
+* :ghissue:`18010`: 3.3.0: possible regression/bug with DateFormatter?
+* :ghissue:`18033`: v. 3.3.0:  horizontal colorbar broken
+* :ghissue:`18017`: Optimisation in set_verts causes error if ``verts`` have irregular sizes
+* :ghissue:`18022`: AttributeError: module 'matplotlib' has no attribute 'backends'
+* :ghissue:`18011`: Confusing error message when home config directory not writable
+* :ghissue:`17975`: Computing the bounding box of a degenerate polygon throws an error
+* :ghissue:`17968`: Setting ``Date`` metadata to ``None`` does not remove the date metadata from the SVG file
+* :ghissue:`17970`: AttributeError when using PYTHONOPTIMIZE (due to stripped docstring)
diff --git a/doc/users/prev_whats_new/github_stats_3.3.2.rst b/doc/users/prev_whats_new/github_stats_3.3.2.rst
new file mode 100644
index 000000000000..0bc03cbc83ee
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.3.2.rst
@@ -0,0 +1,89 @@
+.. _github-stats-3-3-2:
+
+GitHub statistics for 3.3.2 (Sep 15, 2020)
+==========================================
+
+GitHub statistics for 2020/08/14 - 2020/09/15 (tag: v3.3.1)
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 15 issues and merged 39 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/57?closed=1>`__
+
+The following 13 authors contributed 61 commits.
+
+* Antony Lee
+* Bruno Beltran
+* David Stansby
+* David Young
+* Elliott Sales de Andrade
+* Greg Lucas
+* Jody Klymak
+* johnthagen
+* Jouni K. Seppänen
+* Richard Sheridan
+* Ryan May
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (39):
+
+* :ghpull:`18488`: Backport PR #18483 on branch v3.3.x (DOC: reword non-monotonic cell center warning)
+* :ghpull:`18483`: DOC: reword non-monotonic cell center warning
+* :ghpull:`18485`: Backport PR #18475 on branch v3.3.x (BF: ensure exception caught if no kpeswitch)
+* :ghpull:`18482`: Backport PR #18398 on branch v3.3.x (Warn on non-increasing/decreasing pcolor coords)
+* :ghpull:`18484`: Backport PR #18458: Fix huge imshow range
+* :ghpull:`18475`: BF: ensure exception caught if no kpeswitch
+* :ghpull:`18458`: Fix huge imshow range
+* :ghpull:`18398`: Warn on non-increasing/decreasing pcolor coords
+* :ghpull:`18479`: Nbagg backports
+* :ghpull:`18454`: nbagg: Use OutputArea event to trigger figure close.
+* :ghpull:`18469`: Backport PR #18464 on branch v3.3.x (Remove extra stickies in barstacked histogram.)
+* :ghpull:`18464`: Remove extra stickies in barstacked histogram.
+* :ghpull:`18459`: Backport PR #18393 on branch v3.3.x (Fix Axis scale on twinned Axes.)
+* :ghpull:`18393`: Fix Axis scale on twinned Axes.
+* :ghpull:`18441`: Backport PR #18395: TkAgg bugfix: deselect buttons that are not the current _Mode
+* :ghpull:`18395`: TkAgg bugfix: deselect buttons that are not the current _Mode
+* :ghpull:`18380`: Backport PR #18374 on branch v3.3.x (FIX: make _reshape_2D accept pandas df with string indices)
+* :ghpull:`18374`: FIX: make _reshape_2D accept pandas df with string indices
+* :ghpull:`18376`: Backport PR #18298 on branch v3.3.x (Include license files in built distribution)
+* :ghpull:`18375`: Backport PR #18293 on branch v3.3.x (Fix scatter3d color/linewidth re-projection)
+* :ghpull:`18298`: Include license files in built distribution
+* :ghpull:`18293`: Fix scatter3d color/linewidth re-projection
+* :ghpull:`18361`: nbagg: Store DPI ratio on figure instead of window.
+* :ghpull:`18354`: Backport PR #18352 on branch v3.3.x (Avoid triggering backend resolution during qt initial import.)
+* :ghpull:`18352`: Avoid triggering backend resolution during qt initial import.
+* :ghpull:`18335`: Backport PR #18322 on branch v3.3.x (Disable FH4 so that we don't require VCRUNTIME140_1.dll.)
+* :ghpull:`18322`: Disable FH4 so that we don't require VCRUNTIME140_1.dll.
+* :ghpull:`18333`: Backport PR #18328 on branch v3.3.x (Add missing check for None in Qt toolmanager.)
+* :ghpull:`18328`: Add missing check for None in Qt toolmanager.
+* :ghpull:`18309`: Backport PR #18304 on branch v3.3.x (Fix canvas redraws during motion in figures with a Button or TextBox)
+* :ghpull:`18304`: Fix canvas redraws during motion in figures with a Button or TextBox
+* :ghpull:`18297`: Backport PR #18288 on branch v3.3.x (FIX: check if axes is off page before repositioning title)
+* :ghpull:`18288`: FIX: check if axes is off page before repositioning title
+* :ghpull:`18269`: Backport PR #18266 on branch v3.3.x (Fix Path.get_extents for empty paths.)
+* :ghpull:`18266`: Fix Path.get_extents for empty paths.
+* :ghpull:`18263`: Backport PR #18260 on branch v3.3.x (Add parent widget to IntVar)
+* :ghpull:`18260`: Add parent widget to IntVar
+* :ghpull:`18253`: Backport PR #18245 on branch v3.3.x
+* :ghpull:`18245`: MNT: do a better job guessing the GUI framework in use
+
+Issues (15):
+
+* :ghissue:`18415`: imshow with LogNorm crashes with certain inputs
+* :ghissue:`18447`: nbagg: Closing a figure from the notebook does not close the python figure
+* :ghissue:`18470`: interactive plots slow with matplotlib 3.3.1
+* :ghissue:`18457`: Incorrect log y-scale for histogram with partitioned and barstacked data
+* :ghissue:`18385`: twinx not respecting log-scale
+* :ghissue:`18371`: Plotting a pandas DataFrame with string MultiIndex
+* :ghissue:`18296`: LICENSE file(s) not included in published PyPI package
+* :ghissue:`18287`: scatter3D assigns wrong color to points for some plot orientations
+* :ghissue:`18292`: ImportError: DLL load failed with Matplotlib 3.3.1 on Windows
+* :ghissue:`18327`: Tool Manager: adding buttons to toolbar fails with matplotlib version 3.3.1 using Qt backend
+* :ghissue:`18324`:  Poor UI responsiveness  of 3.3.1 compared with 3.2.2 for interactive mode UI using widgets
+* :ghissue:`18303`: Canvas redraws during any motion when Button is present
+* :ghissue:`18283`: Automatic title placement wrong if parent axes is off the page
+* :ghissue:`18254`: scatter(..., marker='') raises on drawing with mpl3.3.1
+* :ghissue:`18259`: New IntVar needs a parent widget
diff --git a/doc/users/prev_whats_new/github_stats_3.3.3.rst b/doc/users/prev_whats_new/github_stats_3.3.3.rst
new file mode 100644
index 000000000000..5475a5209eed
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.3.3.rst
@@ -0,0 +1,93 @@
+.. _github-stats-3-3-3:
+
+GitHub statistics for 3.3.3 (Nov 11, 2020)
+==========================================
+
+GitHub statistics for 2020/09/15 (tag: v3.3.2) - 2020/11/11
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 14 issues and merged 46 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/58?closed=1>`__
+
+The following 11 authors contributed 73 commits.
+
+* Antony Lee
+* David Stansby
+* Elliott Sales de Andrade
+* Eric Larson
+* Jody Klymak
+* Jouni K. Seppänen
+* Ryan May
+* shevawen
+* Stephen Sinclair
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (46):
+
+* :ghpull:`18936`: Backport PR #18929 on branch v3.3.x
+* :ghpull:`18929`: FIX: make sure scalarmappable updates are handled correctly in 3D
+* :ghpull:`18928`: Backport PR #18842 on branch v3.3.x (Add CPython 3.9 wheels.)
+* :ghpull:`18842`: Add CPython 3.9 wheels.
+* :ghpull:`18921`: Backport PR #18732 on branch v3.3.x (Add a ponyfill for ResizeObserver on older browsers.)
+* :ghpull:`18732`: Add a ponyfill for ResizeObserver on older browsers.
+* :ghpull:`18886`: Backport #18860 on branch v3.3.x
+* :ghpull:`18860`: FIX: stop deprecation message colorbar
+* :ghpull:`18845`: Backport PR #18839 on branch v3.3.x
+* :ghpull:`18843`: Backport PR #18756 on branch v3.3.x (FIX: improve date performance regression)
+* :ghpull:`18850`: Backport CI fixes to v3.3.x
+* :ghpull:`18839`: MNT: make sure we do not mutate input in Text.update
+* :ghpull:`18838`: Fix ax.set_xticklabels(fontproperties=fp)
+* :ghpull:`18756`: FIX: improve date performance regression
+* :ghpull:`18787`: Backport PR #18769 on branch v3.3.x
+* :ghpull:`18786`: Backport PR #18754 on branch v3.3.x (FIX: make sure we have more than 1 tick with small log ranges)
+* :ghpull:`18754`: FIX: make sure we have more than 1 tick with small log ranges
+* :ghpull:`18769`: Support ``ax.grid(visible=<bool>)``.
+* :ghpull:`18778`: Backport PR #18773 on branch v3.3.x (Update to latest cibuildwheel release.)
+* :ghpull:`18773`: Update to latest cibuildwheel release.
+* :ghpull:`18755`: Backport PR #18734 on branch v3.3.x (Fix deprecation warning in GitHub Actions.)
+* :ghpull:`18734`: Fix deprecation warning in GitHub Actions.
+* :ghpull:`18725`: Backport PR #18533 on branch v3.3.x
+* :ghpull:`18723`: Backport PR #18584 on branch v3.3.x (Fix setting 0-timeout timer with Tornado.)
+* :ghpull:`18676`: Backport PR #18670 on branch v3.3.x (MNT: make certifi actually optional)
+* :ghpull:`18670`: MNT: make certifi actually optional
+* :ghpull:`18665`: Backport PR #18639 on branch v3.3.x (nbagg: Don't close figures for bubbled events.)
+* :ghpull:`18639`: nbagg: Don't close figures for bubbled events.
+* :ghpull:`18640`: Backport PR #18636 on branch v3.3.x (BLD: certifi is not a run-time dependency)
+* :ghpull:`18636`: BLD: certifi is not a run-time dependency
+* :ghpull:`18629`: Backport PR #18621 on branch v3.3.x (Fix singleshot timers in wx.)
+* :ghpull:`18621`: Fix singleshot timers in wx.
+* :ghpull:`18607`: Backport PR #18604 on branch v3.3.x (Update test image to fix Ghostscript 9.53.)
+* :ghpull:`18604`: Update test image to fix Ghostscript 9.53.
+* :ghpull:`18584`: Fix setting 0-timeout timer with Tornado.
+* :ghpull:`18550`: backport pr 18549
+* :ghpull:`18545`: Backport PR #18540 on branch v3.3.x (Call to ExitStack.push should have been ExitStack.callback.)
+* :ghpull:`18549`: FIX: unit-convert pcolorargs before interpolating
+* :ghpull:`18540`: Call to ExitStack.push should have been ExitStack.callback.
+* :ghpull:`18533`: Correctly remove support for \stackrel.
+* :ghpull:`18509`: Backport PR #18505 on branch v3.3.x (Fix depth shading when edge/facecolor is none.)
+* :ghpull:`18505`: Fix depth shading when edge/facecolor is none.
+* :ghpull:`18504`: Backport PR #18500 on branch v3.3.x (BUG: Fix all-masked imshow)
+* :ghpull:`18500`: BUG: Fix all-masked imshow
+* :ghpull:`18476`: CI: skip qt, cairo, pygobject related installs on OSX on travis
+* :ghpull:`18134`: Build on xcode9
+
+Issues (14):
+
+* :ghissue:`18885`: 3D Scatter Plot with Colorbar is not saved correctly with savefig
+* :ghissue:`18922`: pyplot.xticks(): Font property specification is not effective except 1st tick label.
+* :ghissue:`18481`: "%matplotlib notebook" not working in firefox with matplotlib 3.3.1
+* :ghissue:`18595`: Getting internal "MatplotlibDeprecationWarning: shading='flat' ..."
+* :ghissue:`18743`:  from mpl 3.2.2 to 3.3.0 enormous increase in creation time
+* :ghissue:`18317`: pcolormesh: shading='nearest' and non-monotonic coordinates
+* :ghissue:`18758`: Using Axis.grid(visible=True) results in TypeError for multiple values for keyword argument
+* :ghissue:`18638`: ``matplotlib>=3.3.2`` breaks ``ipywidgets.interact``
+* :ghissue:`18337`: Error installing matplotlib-3.3.1 using pip due to old version of certifi on conda environment
+* :ghissue:`18620`: wx backend assertion error with fig.canvas.timer.start()
+* :ghissue:`18551`: test_transparent_markers[pdf] is broken on v3.3.x Travis macOS
+* :ghissue:`18580`: Animation freezes in Jupyter notebook
+* :ghissue:`18547`: pcolormesh x-axis with datetime broken for nearest shading
+* :ghissue:`18539`: Error in Axes.redraw_in_frame in use of ExitStack: push() takes 2 positional arguments but 3 were given
diff --git a/doc/users/prev_whats_new/github_stats_3.3.4.rst b/doc/users/prev_whats_new/github_stats_3.3.4.rst
new file mode 100644
index 000000000000..afff8b384b8e
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.3.4.rst
@@ -0,0 +1,51 @@
+.. _github-stats-3-3-4:
+
+GitHub statistics for 3.3.4 (Jan 28, 2021)
+==========================================
+
+GitHub statistics for 2020/11/12 (tag: v3.3.3) - 2021/01/28
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 2 issues and merged 20 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/60?closed=1>`__
+
+The following 7 authors contributed 43 commits.
+
+* Antony Lee
+* David Stansby
+* Elliott Sales de Andrade
+* Jody Klymak
+* Mark Harfouche
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (20):
+
+* :ghpull:`19386`: Backport PR #19238 on branch v3.3.x (Fix build with LTO disabled in environment)
+* :ghpull:`19238`: Fix build with LTO disabled in environment
+* :ghpull:`19382`: Backport PR #19052 on branch v3.3.x (Always pass integers to wx.Size.)
+* :ghpull:`19377`: Backport PR #19371 on branch v3.3.x (Fix specgram test on NumPy 1.20.)
+* :ghpull:`19371`: Fix specgram test on NumPy 1.20.
+* :ghpull:`19305`: Backport PR #19301 on branch v3.3.x
+* :ghpull:`19301`: Fix several CI issues
+* :ghpull:`19269`: Backport PR #19266 on branch v3.3.x (Don't update homebrew on GitHub Actions)
+* :ghpull:`19266`: Don't update homebrew on GitHub Actions
+* :ghpull:`19252`: Backport PR #19245 on branch v3.3.x (handle usecase where QT_API is specified with some capitals)
+* :ghpull:`19245`: handle usecase where QT_API is specified with some capitals
+* :ghpull:`19143`: Backport PR #19131 on branch v3.3.x (Fix WebAgg initialization)
+* :ghpull:`19115`: Backport PR #19108 on branch v3.3.x
+* :ghpull:`19165`: Backport PR #19163 on branch v3.3.x (Ignore missing _FancyAxislineStyle doc targets.)
+* :ghpull:`19163`: Ignore missing _FancyAxislineStyle doc targets.
+* :ghpull:`19131`: Fix WebAgg initialization
+* :ghpull:`19052`: Always pass integers to wx.Size.
+* :ghpull:`19108`: Fix failing animation test with pytest 6.2.
+* :ghpull:`19062`: Backport PR #19036 on branch v3.3.x
+* :ghpull:`19036`: Start testing using GitHub Actions
+
+Issues (2):
+
+* :ghissue:`19227`: Matplotlib generates invalid ft2font if -fno-lto gcc CFLAGS used
+* :ghissue:`19129`: webAgg example broken - maybe mpl.js broken?
diff --git a/doc/users/prev_whats_new/github_stats_3.4.0.rst b/doc/users/prev_whats_new/github_stats_3.4.0.rst
new file mode 100644
index 000000000000..b2568058b455
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.4.0.rst
@@ -0,0 +1,1174 @@
+.. _github-stats-3-4-0:
+
+GitHub statistics for 3.4.0 (Mar 26, 2021)
+==========================================
+
+GitHub statistics for 2020/07/16 (tag: v3.3.0) - 2021/03/26
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 204 issues and merged 772 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/53?closed=1>`__
+
+The following 177 authors contributed 3852 commits.
+
+* A N U S H
+* Adam Brown
+* Aditya Malhotra
+* aflah02
+* Aitik Gupta
+* Alejandro García
+* Alex Henrie
+* Alexander Schlüter
+* Alexis de Almeida Coutinho
+* Andreas C Mueller
+* andrzejnovak
+* Antony Lee
+* Arthur Milchior
+* bakes
+* BAKEZQ
+* BaoGiang HoangVu
+* Ben Root
+* BH4
+* Bradley Dice
+* Braxton Lamey
+* Brian McFee
+* Bruno Beltran
+* Bryan Kok
+* Byron Boulton
+* Carsten Schelp
+* ceelo777
+* Charles
+* CharlesHe16
+* Christian Baumann
+* Contextualist
+* DangoMelon
+* Daniel
+* Daniel Ingram
+* David Meyer
+* David Stansby
+* David Young
+* deep-jkl
+* Diego Leal
+* Dr. Thomas A Caswell
+* Dylan Cutler
+* Eben Pendleton
+* EBenkler
+* ebenp
+* ecotner
+* Elliott Sales de Andrade
+* Emily FY
+* Eric Firing
+* Eric Larson
+* Eric Prestat
+* Erik Benkler
+* Evan Berkowitz
+* Ewan Sutherland
+* Federico Ariza
+* Forrest
+* Frank Sauerburger
+* FrankTheCodeMonkey
+* Greg Lucas
+* hannah
+* Harry Knight
+* Harsh Sharma
+* Hassan Kibirige
+* Hugo van Kemenade
+* Iain-S
+* Ian Hunt-Isaak
+* Ian Thomas
+* ianhi
+* Ilya V. Schurov
+* ImportanceOfBeingErnest
+* Isuru Fernando
+* ItsRLuo
+* J\. Scott Berg
+* Jae-Joon Lee
+* Jakub Klus
+* Janakarajan Natarajan
+* Jann Paul Mattern
+* jbhopkins
+* jeetvora331
+* Jerome F. Villegas
+* Jerome Villegas
+* jfbu
+* Jirka Hladky
+* Jody Klymak
+* Johan von Forstner
+* johan12345
+* john imperial
+* John Losito
+* John Peloquin
+* johnthagen
+* Jouni K. Seppänen
+* Kate Perkins
+* kate-perkins
+* katrielester
+* kolibril13
+* kwgchi
+* Lee Johnston
+* Leo Singer
+* linchiwei123
+* Lucy Liu
+* luz paz
+* luzpaz
+* Léonard Gérard
+* majorwitty
+* mansoor96g
+* Maria Ilie
+* Maria-Alexandra Ilie
+* Marianne Corvellec
+* Mark Harfouche
+* Martin Spacek
+* Mary Chris Go
+* Matthew Petroff
+* Matthias Bussonnier
+* Matthias Geier
+* Max Chen
+* McToel
+* Michael Grupp
+* Michaël Defferrard
+* Mihai Anton
+* Mohammad Aflah Khan
+* Neilzon Viloria
+* neok-m4700
+* Nora Moseman
+* Pamela Wu
+* pankajchetry1168
+* Petar Mlinarić
+* Peter Williams
+* Phil Nagel
+* philip-sparks
+* Philipp Arras
+* Philipp Nagel
+* Pratyush Raj
+* Péter Leéh
+* rajpratyush
+* Randall Ung
+* reshamas
+* Rezangyal
+* Richard Sheridan
+* richardsheridan
+* Rob McDonald
+* Rohit Rawat
+* Ruben Verweij
+* Ruth Comer
+* Ryan May
+* Sam Tygier
+* shawnchen
+* shawnchen1996
+* ShawnChen1996
+* Sidharth Bansal
+* Srihitha Maryada
+* Stephen Sinclair
+* Struan Murray
+* Theodor Athanasiadis
+* Thomas A Caswell
+* Thorvald Johannessen
+* Tim Gates
+* Tim Hoffmann
+* Tobias Hangleiter
+* tohc1
+* Tom Charrett
+* Tom Neep
+* Tomas Fiers
+* ulijh
+* Ulrich J. Herter
+* Utkarshp1
+* Uwe F. Mayer
+* Valentin Valls
+* Vincent Cuenca
+* Vineyard
+* Vlas Sokolov
+* Xianxiang Li
+* xlilos
+* Ye Chang
+* Yichao Yu
+* yozhikoff
+* Yun Liu
+* z0rgy
+* zitorelova
+
+GitHub issues and pull requests:
+
+Pull Requests (772):
+
+* :ghpull:`19775`: Fix deprecation for imread on URLs.
+* :ghpull:`19772`: Backport PR #19535 on branch v3.4.x (Fix example's BasicUnit array conversion.)
+* :ghpull:`19771`: Backport PR #19757 on branch v3.4.x (Fixed python -mpip typo)
+* :ghpull:`19770`: Backport PR #19739 on branch v3.4.x (Changed 'python -mpip' to 'python -m pip' for consistency)
+* :ghpull:`19535`: Fix example's BasicUnit array conversion.
+* :ghpull:`19767`: Backport PR #19766 on branch v3.4.x (Set colormap modification removal to 3.6.)
+* :ghpull:`19766`: Set colormap modification removal to 3.6.
+* :ghpull:`19764`: Backport PR #19762 on branch v3.4.x (FIX: do not report that webagg supports blitting)
+* :ghpull:`19762`: FIX: do not report that webagg supports blitting
+* :ghpull:`19689`: Prepare API docs for v3.4.0
+* :ghpull:`19761`: Backport PR #19746 on branch v3.4.x (Fix resizing in nbAgg.)
+* :ghpull:`19746`: Fix resizing in nbAgg.
+* :ghpull:`19757`: Fixed python -mpip typo
+* :ghpull:`19739`: Changed 'python -mpip' to 'python -m pip' for consistency
+* :ghpull:`19713`: DOC: Prepare What's new page for 3.4.0.
+* :ghpull:`19742`: Backport PR #19741 on branch v3.4.x (Only override pickradius when picker is not a bool.)
+* :ghpull:`19741`: Only override pickradius when picker is not a bool.
+* :ghpull:`19726`: Backport PR #19505 on branch v3.4.x (Move some advanced documentation away from Installation Guide)
+* :ghpull:`19505`: Move some advanced documentation away from Installation Guide
+* :ghpull:`19712`: Backport PR #19707 on branch v3.4.x (DOC: fix dx in Arrow guide)
+* :ghpull:`19711`: Backport PR #19709 on branch v3.4.x (Fix arrow_guide.py typo)
+* :ghpull:`19709`: Fix arrow_guide.py typo
+* :ghpull:`19707`: DOC: fix dx in Arrow guide
+* :ghpull:`19699`: Backport PR #19695 on branch v3.4.x (DOC: Increase size of headings)
+* :ghpull:`19695`: DOC: Increase size of headings
+* :ghpull:`19697`: Backport PR #19690 on branch v3.4.x (Only warn about existing redirects if content differs.)
+* :ghpull:`19690`: Only warn about existing redirects if content differs.
+* :ghpull:`19696`: Backport PR #19665 on branch v3.4.x (Changed FormatStrFormatter documentation to include how to get unicode minus)
+* :ghpull:`19680`: Backport PR #19402 on branch v3.4.x (Build aarch64 wheels)
+* :ghpull:`19678`: Backport PR #19671 on branch v3.4.x (Fix crash in early window raise in gtk3.)
+* :ghpull:`19671`: Fix crash in early window raise in gtk3.
+* :ghpull:`19665`: Changed FormatStrFormatter documentation to include how to get unicode minus
+* :ghpull:`19402`: Build aarch64 wheels
+* :ghpull:`19669`: Backport PR #19661 on branch v3.4.x (Fix CoC link)
+* :ghpull:`19668`: Backport PR #19663 on branch v3.4.x (ENH: add a copy method to colormaps)
+* :ghpull:`19663`: ENH: add a copy method to colormaps
+* :ghpull:`19661`: Fix CoC link
+* :ghpull:`19652`: Backport PR #19649 on branch v3.4.x (Use globals() instead of locals() for adding colormaps as names to cm module)
+* :ghpull:`19649`: Use globals() instead of locals() for adding colormaps as names to cm module
+* :ghpull:`19651`: Backport PR #19618 on branch v3.4.x (FIX: make the cache in font_manager._get_font keyed by thread id)
+* :ghpull:`19650`: Backport PR #19625 on branch v3.4.x (Restore _AxesStack to track a Figure's Axes order.)
+* :ghpull:`19647`: Backport PR #19645 on branch v3.4.x (Fix comment in RectangleSelector)
+* :ghpull:`19618`: FIX: make the cache in font_manager._get_font keyed by thread id
+* :ghpull:`19648`: Backport PR #19643 on branch v3.4.x (Don't turn check_for_pgf into public API.)
+* :ghpull:`19625`: Restore _AxesStack to track a Figure's Axes order.
+* :ghpull:`19643`: Don't turn check_for_pgf into public API.
+* :ghpull:`19645`: Fix comment in RectangleSelector
+* :ghpull:`19644`: Backport PR #19611 on branch v3.4.x (Fix double picks.)
+* :ghpull:`19611`: Fix double picks.
+* :ghpull:`19640`: Backport PR #19639 on branch v3.4.x (FIX: do not allow single element list of str in subplot_mosaic)
+* :ghpull:`19639`: FIX: do not allow single element list of str in subplot_mosaic
+* :ghpull:`19638`: Backport PR #19632 on branch v3.4.x (Fix handling of warn keyword in Figure.show.)
+* :ghpull:`19637`: Backport PR #19582 on branch v3.4.x (Add kerning to single-byte strings in PDFs)
+* :ghpull:`19632`: Fix handling of warn keyword in Figure.show.
+* :ghpull:`19582`: Add kerning to single-byte strings in PDFs
+* :ghpull:`19629`: Backport PR #19548 on branch v3.4.x (Increase tolerances for other arches.)
+* :ghpull:`19630`: Backport PR #19596 on branch v3.4.x (Fix for issue 17769: wx interactive figure close cause crash)
+* :ghpull:`19596`: Fix for issue 17769: wx interactive figure close cause crash
+* :ghpull:`19548`: Increase tolerances for other arches.
+* :ghpull:`19616`: Backport PR #19577 on branch v3.4.x (Fix "return"->"enter" mapping in key names.)
+* :ghpull:`19617`: Backport PR #19571 on branch v3.4.x (Fail early when setting Text color to a non-colorlike.)
+* :ghpull:`19615`: Backport PR #19583 on branch v3.4.x (FIX: check for a set during color conversion)
+* :ghpull:`19614`: Backport PR #19597 on branch v3.4.x (Fix IPython import issue)
+* :ghpull:`19613`: Backport PR #19546 on branch v3.4.x (Move unrendered README.wx to thirdpartypackages/index.rst.)
+* :ghpull:`19583`: FIX: check for a set during color conversion
+* :ghpull:`19597`: Fix IPython import issue
+* :ghpull:`19571`: Fail early when setting Text color to a non-colorlike.
+* :ghpull:`19595`: Backport PR #19589 on branch v3.4.x (Changes linestyle parameter of flierprops)
+* :ghpull:`19577`: Fix "return"->"enter" mapping in key names.
+* :ghpull:`19589`: Changes linestyle parameter of flierprops
+* :ghpull:`19592`: Backport PR #19587 on branch v3.4.x (DOC: fix plot_date doc)
+* :ghpull:`19587`: DOC: fix plot_date doc
+* :ghpull:`19580`: Backport PR #19456 on branch v3.4.x (Doc implement reredirects)
+* :ghpull:`19579`: Backport PR #19567 on branch v3.4.x (DOC: fix typos)
+* :ghpull:`19456`: Doc implement reredirects
+* :ghpull:`19567`: DOC: fix typos
+* :ghpull:`19542`: Backport PR #19532 on branch v3.4.x (Add note on interaction between text wrapping and bbox_inches='tight')
+* :ghpull:`19549`: Backport PR #19545 on branch v3.4.x (Replace references to pygtk by pygobject in docs.)
+* :ghpull:`19546`: Move unrendered README.wx to thirdpartypackages/index.rst.
+* :ghpull:`19545`: Replace references to pygtk by pygobject in docs.
+* :ghpull:`19532`: Add note on interaction between text wrapping and bbox_inches='tight'
+* :ghpull:`19541`: MAINT: fix typo from #19438
+* :ghpull:`19480`: Fix CallbackRegistry memory leak
+* :ghpull:`19539`: In scatter, fix single rgb edgecolors handling
+* :ghpull:`19438`: FIX: restore creating new axes via plt.subplot with different kwargs
+* :ghpull:`18436`: Sync 3D errorbar with 2D
+* :ghpull:`19472`: Fix default label visibility for top-or-left-labeled shared subplots().
+* :ghpull:`19496`: MNT: Restore auto-adding Axes3D to their parent figure on init
+* :ghpull:`19533`: Clarify the animated property and reword blitting tutorial a bit
+* :ghpull:`19146`: Fix #19128: webagg reports incorrect values for non-alphanumeric key events on non-qwerty keyboards
+* :ghpull:`18068`: Add note on writing binary formats to stdout using savefig()
+* :ghpull:`19507`: FIX: ensure we import when the user cwd does not exist
+* :ghpull:`19413`: FIX: allow add option for Axes3D(fig)
+* :ghpull:`19498`: Dedupe implementations of {XAxis,YAxis}._get_tick_boxes_siblings.
+* :ghpull:`19502`: Prefer projection="polar" over polar=True.
+* :ghpull:`18480`: Clarify color priorities in collections
+* :ghpull:`19501`: Fix text position with usetex and xcolor
+* :ghpull:`19460`: Implement angles for bracket arrow styles.
+* :ghpull:`18408`: FIX/API: ``fig.canvas.draw`` always updates internal state
+* :ghpull:`19504`: Remove remaining references to Travis CI
+* :ghpull:`13358`: 3D margins consistency  for mplot3d (isometric projection)
+* :ghpull:`19529`: Simplify checking for tex packages.
+* :ghpull:`19516`: Ignore files from annotate coverage reports
+* :ghpull:`19500`: Remove workaround for numpy<1.16, and update version check.
+* :ghpull:`19518`: Skip setting up a tmpdir in tests that don't need one.
+* :ghpull:`19514`: DOC: add fixed-aspect colorbar examples
+* :ghpull:`19511`: Clarify axes.autolimit_mode rcParam.
+* :ghpull:`19503`: Fix tight_layout() on "canvasless" figures.
+* :ghpull:`19410`: Set the GTK background color to white.
+* :ghpull:`19497`: Add overset/underset whatsnew entry
+* :ghpull:`19490`: Fix error message in plt.close().
+* :ghpull:`19461`: Move ToolManager warnings to rcParam validator
+* :ghpull:`19488`: Prefer ``tr1-tr2`` to ``tr1+tr2.inverted()``.
+* :ghpull:`19485`: fix regression of axline behavior with non-linear scales
+* :ghpull:`19314`: Fix over/under mathtext symbols
+* :ghpull:`19468`: Include tex output in pdf LatexError.
+* :ghpull:`19478`: Fix trivial typo in error message.
+* :ghpull:`19449`: Switch array-like (M, N) to (M, N) array-like.
+* :ghpull:`19459`: Merge v3.3.4 into master
+* :ghpull:`18746`: Make figure parameter optional when constructing canvases.
+* :ghpull:`19455`: Add note that pyplot cannot be used for 3D.
+* :ghpull:`19457`: Use absolute link for discourse
+* :ghpull:`19440`: Slightly reorganize api docs.
+* :ghpull:`19344`: Improvements to Docs for new contributors
+* :ghpull:`19435`: Replace gtk3 deprecated APIs that have simple replacements.
+* :ghpull:`19452`: Fix the docstring of draw_markers to match the actual behavior.
+* :ghpull:`19448`: Remove unnecessary facecolor cache in Patch3D.
+* :ghpull:`19396`: CI: remove win prerelease azure + add py39
+* :ghpull:`19426`: Support empty stairs.
+* :ghpull:`19399`: Fix empty Poly3DCollections
+* :ghpull:`19416`: fixes TypeError constructor returned NULL in wayland session
+* :ghpull:`19439`: Move cheatsheet focus to the cheatsheets away
+* :ghpull:`19425`: Add units to bar_label padding documentation.
+* :ghpull:`19422`: Style fixes to triintepolate docs.
+* :ghpull:`19421`: Switch to documenting generic collections in lowercase.
+* :ghpull:`19411`: DOC: fix incorrect parameter names
+* :ghpull:`19387`: Fix CSS table header layout
+* :ghpull:`18683`: Better document font.<generic-family> rcParams entries.
+* :ghpull:`19418`: BF: DOCS: fix slash for windows in conf.py
+* :ghpull:`18544`: REORG: JoinStyle and CapStyle classes
+* :ghpull:`19415`: Make TaggedValue in basic_units a sequence
+* :ghpull:`19412`: DOC: correct off by one indentation.
+* :ghpull:`19407`: Improve doc of default labelpad.
+* :ghpull:`19373`: test for align_ylabel bug with constrained_layout
+* :ghpull:`19347`: os.environ-related cleanups.
+* :ghpull:`19319`: DOC: make canonical version stable
+* :ghpull:`19395`: wx: Use integers in more places
+* :ghpull:`17850`: MNT: set the facecolor of nofill markers
+* :ghpull:`19334`: Fix qt backend on mac big sur
+* :ghpull:`19394`: Don't allow pyzmq 22.0.0 on AppVeyor.
+* :ghpull:`19367`: Deprecate imread() reading from URLs
+* :ghpull:`19341`: MarkerStyle is considered immutable
+* :ghpull:`19337`: Move sphinx extension files into mpl-data.
+* :ghpull:`19389`: Temporarily switch intersphinx to latest pytest.
+* :ghpull:`19390`: Doc: Minor formatting
+* :ghpull:`19383`: Always include sample_data in installs.
+* :ghpull:`19378`: Modify indicate_inset default label value
+* :ghpull:`19357`: Shorten/make more consistent the half-filled marker definitions.
+* :ghpull:`18649`: Deprecate imread() reading from URLs
+* :ghpull:`19370`: Force classic ("auto") date converter in classic style.
+* :ghpull:`19364`: Fix trivial doc typos.
+* :ghpull:`19359`: Replace use of pyplot with OO api in some examples
+* :ghpull:`19342`: FIX: fix bbox_inches=tight and constrained layout bad interaction
+* :ghpull:`19350`: Describe how to test regular installations of Matplotlib
+* :ghpull:`19332`: Prefer concatenate to h/vstack in simple cases.
+* :ghpull:`19340`: Remove the deprecated rcParams["datapath"].
+* :ghpull:`19326`: Whitespace in Choosing Colormaps tutorial plots
+* :ghpull:`16417`: Deprecate rcParams["datapath"] in favor of mpl.get_data_path().
+* :ghpull:`19336`: Revert "Deprecate setting Line2D's pickradius via set_picker."
+* :ghpull:`19153`: MNT: Remove deprecated axes kwargs collision detection (version 2)
+* :ghpull:`19330`: Remove register storage class from Agg files.
+* :ghpull:`19324`: Improve FT2Font docstrings.
+* :ghpull:`19328`: Explain annotation behavior when used in conjunction with arrows
+* :ghpull:`19329`: Fix building against system qhull
+* :ghpull:`19331`: Skip an ImageMagick test if ffmpeg is unavailable.
+* :ghpull:`19333`: Fix PGF with special character paths.
+* :ghpull:`19322`: Improve docs of _path C-extension.
+* :ghpull:`19317`: Pin to oldest supported PyQt on minver CI instance.
+* :ghpull:`19315`: Update the markers part of matplotlib.pyplot.plot document (fix issue #19274)
+* :ghpull:`18978`: API: Remove deprecated axes kwargs collision detection
+* :ghpull:`19306`: Fix some packaging issues
+* :ghpull:`19291`: Cleanup code for format processing
+* :ghpull:`19316`: Simplify X11 checking for Qt.
+* :ghpull:`19287`: Speedup LinearSegmentedColormap.from_list.
+* :ghpull:`19293`: Fix some docstring interpolations
+* :ghpull:`19313`: Add missing possible return value to docs of get_verticalalignment()
+* :ghpull:`18916`: Add overset and underset support for mathtext
+* :ghpull:`18126`: FIX: Allow deepcopy on norms and scales
+* :ghpull:`19281`: Make all transforms copiable (and thus scales, too).
+* :ghpull:`19294`: Deprecate project argument to Line3DCollection.draw.
+* :ghpull:`19307`: DOC: remove stray assignment in "multiple legends" example
+* :ghpull:`19303`: Extended the convolution filter for correct dilation
+* :ghpull:`19261`: Add machinery for png-only, single-font mathtext tests.
+* :ghpull:`16571`: Update Qhull to 2019.1 reentrant version
+* :ghpull:`16720`: Download qhull at build-or-sdist time.
+* :ghpull:`18653`: ENH: Add func norm
+* :ghpull:`19272`: Strip irrelevant information from testing docs
+* :ghpull:`19298`: Fix misplaced colon in bug report template.
+* :ghpull:`19297`: Clarify return format of Line2D.get_data.
+* :ghpull:`19277`: Warn on redundant definition of plot properties
+* :ghpull:`19278`: Cleanup and document _plot_args()
+* :ghpull:`19282`: Remove the unused TransformNode._gid.
+* :ghpull:`19264`: Expand on slider_demo example
+* :ghpull:`19244`: Move cbook._check_isinstance() to _api.check_isinstance()
+* :ghpull:`19273`: Use proper pytest functionality for warnings and exceptions
+* :ghpull:`19262`: more robust check for enter key in TextBox
+* :ghpull:`19249`: Clarify Doc for Secondary axis, ad-hoc example
+* :ghpull:`19248`: Make return value of _get_patch_verts always an array.
+* :ghpull:`19247`: Fix markup for mplot3d example.
+* :ghpull:`19216`: Ignore non-draw codes when calculating path extent
+* :ghpull:`19215`: Collect information for setting up a development environment
+* :ghpull:`19210`: Fix creation of AGG images bigger than 1024**3 pixels
+* :ghpull:`18933`: Set clip path for PostScript texts.
+* :ghpull:`19162`: Deprecate cbook.warn_deprecated and move internal calls to _api.warn_deprecated
+* :ghpull:`16391`: Re-write sym-log-norm
+* :ghpull:`19240`: FIX: process lists for inverse norms
+* :ghpull:`18737`: Fix data cursor for images with additional transform
+* :ghpull:`18642`: Propagate minpos from Collections to Axes.datalim
+* :ghpull:`19242`: Update first occurrence of QT to show both 4 and 5
+* :ghpull:`19231`: Add reference section to all statistics examples
+* :ghpull:`19217`: Request an autoscale at the end of ax.pie()
+* :ghpull:`19176`: Deprecate additional positional args to plot_{surface,wireframe}.
+* :ghpull:`19063`: Give plot_directive output a ``max-width: 100%``
+* :ghpull:`19187`: Support callable for formatting of Sankey labels
+* :ghpull:`19220`: Remove one TOC level from the release guide
+* :ghpull:`19212`: MNT: try to put more whitespace in welcome message
+* :ghpull:`19155`: Consolidated the Install from Source docs
+* :ghpull:`19208`: added version ask/hint to issue templates, grammar on pr bot
+* :ghpull:`19185`: Document Triangulation.triangles
+* :ghpull:`19181`: Remove unused imports
+* :ghpull:`19207`: Fix Grouper example code
+* :ghpull:`19204`: Clarify Date Format Example
+* :ghpull:`19200`: Fix incorrect statement regarding test images cache size.
+* :ghpull:`19198`: Fix link in contrbuting docs
+* :ghpull:`19196`: Fix PR welcome action
+* :ghpull:`19188`: Cleanup comparision between X11/CSS4 and xkcd colors
+* :ghpull:`19194`: Fix trivial quiver doc typo.
+* :ghpull:`19180`: Fix Artist.remove_callback()
+* :ghpull:`19192`: Fixed part of Issue - #19100, changed documentation for axisartist
+* :ghpull:`19179`: Check that no new figures are created in image comparison tests
+* :ghpull:`19184`: Minor doc cleanup
+* :ghpull:`19093`: DOCS: Specifying Colors tutorial format & arrange
+* :ghpull:`17107`: Add Spines class as a container for all Axes spines
+* :ghpull:`18829`: Create a RangeSlider widget
+* :ghpull:`18873`: Getting Started GSoD
+* :ghpull:`19175`: Fix axes direction for a floating axisartist
+* :ghpull:`19130`: DOC: remove reference to 2.2.x branches from list of active branches
+* :ghpull:`15212`: Dedupe window-title setting by moving it to FigureManagerBase.
+* :ghpull:`19172`: Fix 3D surface example bug for non-square grid
+* :ghpull:`19173`: Ensure backend tests are skipped if unavailable
+* :ghpull:`19170`: Clarify meaning of facecolors for LineCollection
+* :ghpull:`18310`: Add 3D stem plot
+* :ghpull:`18127`: Implement lazy autoscaling in mplot3d.
+* :ghpull:`16178`: Add multiple label support for Axes.plot()
+* :ghpull:`19151`: Deprecate @cbook.deprecated and move internal calls to @_api.deprecated
+* :ghpull:`19088`: Ignore CLOSEPOLY vertices when computing dataLim from patches
+* :ghpull:`19166`: CI: add github action to post to first-time PRs openers
+* :ghpull:`19124`: GOV/DOC: add section to docs on triaging and triage team
+* :ghpull:`15602`: Add an auto-labeling helper function for bar charts
+* :ghpull:`19164`: docs: fix simple typo, backslahes -> backslashes
+* :ghpull:`19161`: Simplify test_backend_pdf::test_multipage_properfinalize.
+* :ghpull:`19141`: FIX: suppress offset text in ConciseDateFormatter when largest scale is in years
+* :ghpull:`19150`: Move from @cbook._classproperty to @_api.classproperty
+* :ghpull:`19144`: Move from cbook._warn_external() to _api.warn_external()
+* :ghpull:`19119`: Don't lose unit change handlers when pickling/unpickling.
+* :ghpull:`19145`: Move from cbook._deprecate_*() to _api.deprecate_*()
+* :ghpull:`19123`: Use Qt events to refresh pixel ratio.
+* :ghpull:`19056`: Support raw/rgba frame format in FFMpegFileWriter
+* :ghpull:`19140`: Fix the docstring of suptitle/subxlabel/supylabel.
+* :ghpull:`19132`: Normalize docstring interpolation label for kwdoc() property lists
+* :ghpull:`19134`: Switch internal API function calls from cbook to _api
+* :ghpull:`19138`: Added non-code contributions to incubator docs
+* :ghpull:`19125`: DOC: contributor incubator
+* :ghpull:`18948`: DOC: Fix latexpdf build
+* :ghpull:`18753`: Remove several more deprecations
+* :ghpull:`19083`: Fix headless tests on Wayland.
+* :ghpull:`19127`: Cleanups to webagg & friends.
+* :ghpull:`19122`: FIX/DOC - make Text doscstring interp more easily searchable
+* :ghpull:`19106`: Support setting rcParams["image.cmap"] to Colormap instances.
+* :ghpull:`19085`: FIX: update a transfrom from transFigure to transSubfigure
+* :ghpull:`19117`: Rename a confusing variable.
+* :ghpull:`18647`: Axes.axline: implement support transform argument (for points but not slope)
+* :ghpull:`16220`: Fix interaction with unpickled 3d plots.
+* :ghpull:`19059`: Support blitting in webagg backend
+* :ghpull:`19107`: Update pyplot.py
+* :ghpull:`19044`: Cleanup Animation frame_formats.
+* :ghpull:`19087`: FIX/TST: recursively remove ticks
+* :ghpull:`19094`: Suppress -Wunused-function about _import_array when compiling tkagg.cpp.
+* :ghpull:`19092`: Fix use transform mplot3d
+* :ghpull:`19097`: DOC: add FuncScale to set_x/yscale
+* :ghpull:`19089`: ENH: allow passing a scale instance to set_scale
+* :ghpull:`19086`: FIX: add a default scale to Normalize
+* :ghpull:`19073`: Mention in a few more places that artists default to not-pickable.
+* :ghpull:`19079`: Remove incorrect statement about ``hist(..., log=True)``.
+* :ghpull:`19076`: Small improvements to aitoff projection.
+* :ghpull:`19071`: DOC: Add 'blackman' to list of imshow interpolations
+* :ghpull:`17524`: ENH: add supxlabel and supylabel
+* :ghpull:`18840`: Add tutorial about autoscaling
+* :ghpull:`19042`: Simplify GridHelper invalidation.
+* :ghpull:`19048`: Remove _draw_{ticks2,label2}; skip extents computation in _update_ticks.
+* :ghpull:`18983`: Pass norm argument to spy
+* :ghpull:`18802`: Add code of conduct
+* :ghpull:`19060`: Fix broken link in Readme
+* :ghpull:`18569`: More generic value snapping for Slider widgets
+* :ghpull:`19055`: Fix kwargs handling in AnnotationBbox
+* :ghpull:`19041`: Reword docs for exception_handler in CallbackRegistry.
+* :ghpull:`19046`: Prepare inlining MovieWriter.cleanup() into MovieWriter.finish().
+* :ghpull:`19050`: Better validate tick direction.
+* :ghpull:`19038`: Fix markup in interactive figures doc.
+* :ghpull:`19035`: grid_helper_curvelinear cleanups.
+* :ghpull:`19022`: Update event handling docs.
+* :ghpull:`19025`: Remove individual doc entries for some methods Axes inherits from Artist
+* :ghpull:`19018`: Inline and optimize ContourLabeler.get_label_coords.
+* :ghpull:`19019`: Deprecate never used ``resize_callback`` param to FigureCanvasTk.
+* :ghpull:`19023`: Cleanup comments/docs in backend_macosx, backend_pdf.
+* :ghpull:`19020`: Replace mathtext assertions by unpacking.
+* :ghpull:`19024`: Dedupe docs of GridSpec.subplots.
+* :ghpull:`19013`: Improve docs of _get_packed_offsets, _get_aligned_offsets.
+* :ghpull:`19009`: Compactify the implementation of ContourLabeler.add_label_near.
+* :ghpull:`19008`: Deprecate event processing wrapper methods on FigureManagerBase.
+* :ghpull:`19015`: Better document multilinebaseline (and other small TextArea fixes)
+* :ghpull:`19012`: Common ``__init__`` for VPacker and HPacker.
+* :ghpull:`19014`: Support normalize_kwargs(None) (== {}).
+* :ghpull:`19010`: Inline _print_pdf_to_fh, _print_png_to_fh.
+* :ghpull:`19003`: Remove reference to unicode-math in pgf preamble.
+* :ghpull:`18847`: Cleanup interactive pan/zoom.
+* :ghpull:`18868`: Expire _make_keyword_only deprecations from 3.2
+* :ghpull:`18903`: Move cbook._suppress_matplotlib_deprecation_warning() from cbook to _api
+* :ghpull:`18997`: Micro-optimize check_isinstance.
+* :ghpull:`18995`: Fix the doc of GraphicsContextBase.set_clip_rectangle.
+* :ghpull:`18996`: Fix API change message from #18989
+* :ghpull:`18993`: Don't access private renderer attributes in tkagg blit.
+* :ghpull:`18980`: DOC: fix typos
+* :ghpull:`18989`: The Artist property rasterized cannot be None anymore
+* :ghpull:`18987`: Fix punctuation in doc.
+* :ghpull:`18894`: Use selectfont instead of findfont + scalefont + setfont in PostScript.
+* :ghpull:`18990`: Minor cleanup of categorical example
+* :ghpull:`18947`: Strictly increasing check with test coverage for streamplot grid
+* :ghpull:`18981`: Cleanup Firefox SVG example.
+* :ghpull:`18969`: Improve documentation on rasterization
+* :ghpull:`18876`: Support fully-fractional HiDPI added in Qt 5.14.
+* :ghpull:`18976`: Simplify contour_label_demo.
+* :ghpull:`18975`: Fix typing error in pyplot's docs
+* :ghpull:`18956`: Document rasterized parameter in pcolormesh() explicitly
+* :ghpull:`18968`: Fix clabel() for backends without canvas.get_renderer()
+* :ghpull:`18949`: Deprecate AxisArtist.ZORDER
+* :ghpull:`18830`: Pgf plotting
+* :ghpull:`18967`: Remove unnecessary calls to lower().
+* :ghpull:`18910`: Remove Artist.eventson and Container.eventson
+* :ghpull:`18964`: Remove special-casing for PostScript dpi in pyplot.py.
+* :ghpull:`18961`: Replace sphinx-gallery-specific references by standard :doc: refs.
+* :ghpull:`18955`: added needs_ghostscript; skip test
+* :ghpull:`18857`: Improve hat graph example
+* :ghpull:`18943`: Small cleanup to StepPatch._update_path.
+* :ghpull:`18937`: Cleanup stem docs and simplify implementation.
+* :ghpull:`18895`: Introduce variable since which mpl version the minimal python version
+* :ghpull:`18927`: Improve warning message for missing font family specified via alias.
+* :ghpull:`18930`: Document limitations of Path.contains_point() and clarify its semantics
+* :ghpull:`18892`: Fixes MIME type for svg frame_format in HTMLWriter.
+* :ghpull:`18938`: Edit usetex docs.
+* :ghpull:`18923`: Use lambdas to prevent gc'ing and deduplication of widget callbacks.
+* :ghpull:`16171`: Contour fixes/improvements
+* :ghpull:`18901`: Simplify repeat_delay and fix support for it when using iterable frames.
+* :ghpull:`18911`: Added Aria-Labels to all inputs with tooltips for generated HTML animations: issue #17910
+* :ghpull:`18912`: Use CallbackRegistry for {Artist,Collection}.add_callback.
+* :ghpull:`18919`: DOCS: fix contourf hatch demo legend
+* :ghpull:`18905`: Make docs fail on Warning (and fix all existing warnings)
+* :ghpull:`18763`: Single-line string notation for subplot_mosaic
+* :ghpull:`18902`: Move ImageMagick version exclusion to _get_executable_info.
+* :ghpull:`18915`: Remove hard-coded API removal version mapping.
+* :ghpull:`18914`: Fix typo in error message: interable -> iterable.
+* :ghpull:`15065`: step-between as drawstyle [Alternative approach to #15019]
+* :ghpull:`18532`: Consistent behavior of draw_if_interactive across interactive backends.
+* :ghpull:`18908`: Rework interactive backends tests.
+* :ghpull:`18817`: MAINT: deprecate validCap, validJoin
+* :ghpull:`18907`: Unmark wx-threading-test-failure as strict xfail.
+* :ghpull:`18896`: Add note on keeping a reference to animation docstrings
+* :ghpull:`18862`: Resolve mathtext.fontset at FontProperties creation time.
+* :ghpull:`18877`: Remove fallback to nonexistent setDevicePixelRatioF.
+* :ghpull:`18823`: Move from @cbook.deprecated to @_api.deprecated
+* :ghpull:`18889`: Switch Tk to using PNG files for buttons
+* :ghpull:`18888`: Update version of Matplotlib that needs Python 3.7
+* :ghpull:`18867`: Remove "Demo" from example titles (part 2)
+* :ghpull:`18863`: Reword FontProperties docstring.
+* :ghpull:`18866`: Fix RGBAxes docs markup.
+* :ghpull:`18874`: Slightly compress down the pgf tests.
+* :ghpull:`18565`: Make Tkagg blit thread safe
+* :ghpull:`18858`: Remove "Demo" from example titles
+* :ghpull:`15177`: Bind WX_CHAR_HOOK instead of WX_KEY_DOWN for wx key_press_event.
+* :ghpull:`18821`: Simplification of animated histogram example
+* :ghpull:`18844`: Fix sphinx formatting issues
+* :ghpull:`18834`: Add cross-references to Artist tutorial
+* :ghpull:`18827`: Update Qt version in event handling docs.
+* :ghpull:`18825`: Warn in pgf backend when unknown font is requested.
+* :ghpull:`18822`: Remove deprecate
+* :ghpull:`18733`: Time series histogram plot example
+* :ghpull:`18812`: Change LogFormatter coeff computation
+* :ghpull:`18820`: Fix axes -> Axes changes in figure.py
+* :ghpull:`18657`: Move cbook.deprecation to _api.deprecation
+* :ghpull:`18818`: Clarify behavior of CallbackRegistry.disconnect with nonexistent cids.
+* :ghpull:`18811`: DOC Use 'Axes' instead of 'axes' in figure.py
+* :ghpull:`18814`: [Example] update Anscombe's Quartet
+* :ghpull:`18806`: DOC Use 'Axes' in _axes.py docstrings
+* :ghpull:`18799`: Remove unused wx private attribute.
+* :ghpull:`18772`: BF: text not drawn shouldn't count for tightbbox
+* :ghpull:`18793`: Consistently use axs to refer to a set of Axes (v2)
+* :ghpull:`18792`: Cmap cleanup
+* :ghpull:`18798`: Deprecate ps.useafm for mathtext
+* :ghpull:`18302`: Remove 3D attributes from renderer
+* :ghpull:`18795`: Make inset indicator more visible in the example
+* :ghpull:`18781`: Update description of web application server example.
+* :ghpull:`18791`: Fix documentation of edgecolors precedence for scatter()
+* :ghpull:`14645`: Add a helper to copy a colormap and set its extreme colors.
+* :ghpull:`17709`: Enh: SymNorm for normalizing symmetrical data around a center
+* :ghpull:`18780`: CI: pydocstyle>=5.1.0, flake8-docstrings>=1.4.0 verified to work
+* :ghpull:`18200`: Unpin pydocstyle
+* :ghpull:`18767`: Turn "How to use Matplotlib in a web application server" into a sphinx-gallery example
+* :ghpull:`18765`: Remove some unused tick private attributes.
+* :ghpull:`18688`: Shorter property deprecation.
+* :ghpull:`18748`: Allow dependabot to check GitHub actions daily
+* :ghpull:`18529`: Synchronize view limits of shared axes after setting ticks
+* :ghpull:`18575`: Colorbar grid position
+* :ghpull:`18744`: DOCS: document log locator's ``numticks``
+* :ghpull:`18687`: Deprecate GraphicsContextPS.
+* :ghpull:`18706`: Consistently use 3D, 2D, 1D for dimensionality
+* :ghpull:`18702`: _make_norm_from_scale fixes.
+* :ghpull:`18558`: Support usetex in date Formatters
+* :ghpull:`18493`: MEP22 toolmanager set axes navigate_mode
+* :ghpull:`18730`: TST: skip if known-bad version of imagemagick
+* :ghpull:`18583`: Support binary comms in nbagg.
+* :ghpull:`18728`: Disable mouseover info for NonUniformImage.
+* :ghpull:`18710`: Deprecate cla() methods of Axis and Spines in favor of clear()
+* :ghpull:`18719`: Added the trace plot of the end point
+* :ghpull:`18729`: Use ax.add_image rather than ax.images.append in NonUniformImage example
+* :ghpull:`18707`: Use "Return whether ..." docstring for functions returning bool
+* :ghpull:`18724`: Remove extra newlines in contour(f) docs.
+* :ghpull:`18696`: removed glossary
+* :ghpull:`18721`: Remove the use_cmex font fallback mechanism.
+* :ghpull:`18680`: wx backend API cleanups.
+* :ghpull:`18709`: Use attributes Axes.x/yaxis instead of Axes.get_x/yaxis()
+* :ghpull:`18712`: Shorten GraphicsContextWx.get_wxcolour.
+* :ghpull:`18708`: Individualize contour and contourf docstrings
+* :ghpull:`18663`: fix: keep baseline scale to baseline 0 even if set to None
+* :ghpull:`18704`: Fix docstring of Axes.cla()
+* :ghpull:`18675`: Merge ParasiteAxesAuxTransBase into ParasiteAxesBase.
+* :ghpull:`18651`: Allow Type3 subsetting of otf fonts in pdf backend.
+* :ghpull:`17396`: Improve headlessness detection for backend selection.
+* :ghpull:`17737`: Deprecate BoxStyle._Base.
+* :ghpull:`18655`: Sync SubplotDivider API with SubplotBase API changes.
+* :ghpull:`18582`: Shorten mlab tests.
+* :ghpull:`18599`: Simplify wx rubberband drawing.
+* :ghpull:`18671`: DOC: fix autoscale docstring
+* :ghpull:`18637`: BLD: sync build and run time numpy pinning
+* :ghpull:`18693`: Also fix tk key mapping, following the same strategy as for gtk.
+* :ghpull:`18691`: Cleanup sample_data.
+* :ghpull:`18697`: Catch TypeError when validating rcParams types.
+* :ghpull:`18537`: Create security policy
+* :ghpull:`18356`: ENH: Subfigures
+* :ghpull:`18694`: Document limitations on ``@deprecated`` with multiple-inheritance.
+* :ghpull:`18669`: Rework checks for old macosx
+* :ghpull:`17791`: More accurate handling of unicode/numpad input in gtk3 backends.
+* :ghpull:`18679`: Further simplify pgf tmpdir cleanup.
+* :ghpull:`18685`: Cleanup pgf examples
+* :ghpull:`18682`: Small API cleanups to plot_directive.
+* :ghpull:`18686`: Numpydocify setp.
+* :ghpull:`18684`: Small simplification to triage_tests.py.
+* :ghpull:`17832`: pdf: Support setting URLs on Text objects
+* :ghpull:`18674`: Remove accidentally added swapfile.
+* :ghpull:`18673`: Small cleanups to parasite axes.
+* :ghpull:`18536`: axes3d panning
+* :ghpull:`18667`: TST: Lock cache directory during cleanup.
+* :ghpull:`18672`: Created Border for color examples
+* :ghpull:`18661`: Define GridFinder.{,inv\_}transform_xy as normal methods.
+* :ghpull:`18656`: Fix some missing references.
+* :ghpull:`18659`: Small simplifications to BboxImage.
+* :ghpull:`18511`: feat: StepPatch to take array as baseline
+* :ghpull:`18646`: Support activating figures with plt.figure(figure_instance).
+* :ghpull:`18370`: Move PostScript Type3 subsetting to pure python.
+* :ghpull:`18645`: Simplify Colorbar.set_label, inline Colorbar._edges.
+* :ghpull:`18633`: Support linestyle='none' in Patch
+* :ghpull:`18527`: Fold ColorbarPatch into Colorbar, deprecate colorbar_factory.
+* :ghpull:`17480`: Regenerate background when RectangleSelector active-flag is set back on.
+* :ghpull:`18626`: Specify case when parameter is ignored.
+* :ghpull:`18634`: Fix typo in warning message.
+* :ghpull:`18603`: bugfix #18600 by using the MarkerStyle copy constructor
+* :ghpull:`18628`: Remove outdate comment about canvases with no manager attribute.
+* :ghpull:`18591`: Deprecate MathTextParser("bitmap") and associated APIs.
+* :ghpull:`18617`: Remove special styling of sidebar heading
+* :ghpull:`18616`: Improve instructions for building the docs
+* :ghpull:`18623`: Provide a 'cursive' font present in Windows' default font set.
+* :ghpull:`18579`: Fix stairs() tests
+* :ghpull:`18618`: Correctly separate two fantasy font names.
+* :ghpull:`18610`: DOCS: optional doc building dependencies
+* :ghpull:`18601`: Simplify Rectangle and RegularPolygon.
+* :ghpull:`18573`: add_subplot(..., axes_class=...) for more idiomatic mpl_toolkits usage.
+* :ghpull:`18605`: Correctly sync state of wx toolbar buttons when triggered by keyboard.
+* :ghpull:`18606`: Revert "FIX: pin pytest"
+* :ghpull:`18587`: Fix docstring of zaxis_date.
+* :ghpull:`18589`: Factor out pdf Type3 glyph drawing.
+* :ghpull:`18586`: Text cleanups.
+* :ghpull:`18594`: FIX: pin pytest
+* :ghpull:`18577`: Random test cleanups
+* :ghpull:`18578`: Merge all axisartist axis_direction demos together.
+* :ghpull:`18588`: Use get_x/yaxis_transform more.
+* :ghpull:`18585`: FIx precision in pie and donut example
+* :ghpull:`18564`: Prepare for merging SubplotBase into AxesBase.
+* :ghpull:`15127`: ENH/API: improvements to register_cmap
+* :ghpull:`18576`: DOC: prefer colormap over color map
+* :ghpull:`18340`: Colorbar grid postion
+* :ghpull:`18568`: Added Reporting to code_of_conduct.md
+* :ghpull:`18555`: Convert _math_style_dict into an Enum.
+* :ghpull:`18567`: Replace subplot(ijk) calls by subplots(i, j)
+* :ghpull:`18554`: Replace some usages of plt.subplot() by plt.subplots() in tests
+* :ghpull:`18556`: Accept same types to errorevery as markevery
+* :ghpull:`15932`: Use test cache for test result images too.
+* :ghpull:`18557`: DOC: Add an option to disable Google Analytics.
+* :ghpull:`18560`: Remove incorrect override of pcolor/contour in parasite axes.
+* :ghpull:`18566`: Use fig, ax = plt.subplots() in tests (part 2)
+* :ghpull:`18553`: Use fig, ax = plt.subplots() in tests
+* :ghpull:`11748`: get_clip_path checks for nan
+* :ghpull:`8987`: Tick formatter does not support grouping with locale
+* :ghpull:`18552`: Change \*subplot(111, ...) to \*subplot(...) as 111 is the default.
+* :ghpull:`18189`: FIX: Add get/set methods for 3D collections
+* :ghpull:`18430`: FIX: do not reset ylabel ha when changing position
+* :ghpull:`18515`: Remove deprecated backend code.
+* :ghpull:`17935`: MNT: improve error messages on bad pdf metadata input
+* :ghpull:`18525`: Add Text3D position getter/setter
+* :ghpull:`18542`: CLEANUP: validate join/cap style centrally
+* :ghpull:`18501`: TST: Add test for _repr_html_
+* :ghpull:`18528`: Deprecate TextArea minimumdescent.
+* :ghpull:`18543`: Documentation improvements for stairs()
+* :ghpull:`18531`: Unit handling improvements
+* :ghpull:`18523`: Don't leak file paths into PostScript metadata
+* :ghpull:`18526`: Templatize _image.resample to deduplicate it.
+* :ghpull:`18522`: Remove mlab, toolkits, and misc deprecations
+* :ghpull:`18516`: Remove deprecated font-related things.
+* :ghpull:`18535`: Add a code of conduct link to github
+* :ghpull:`17521`: Remove font warning when legend is added while using Tex
+* :ghpull:`18517`: Include kerning when outputting pdf strings.
+* :ghpull:`18521`: Inline some helpers in ColorbarBase.
+* :ghpull:`18512`: Private api2
+* :ghpull:`18519`: Correctly position text with nonzero descent with afm fonts / ps output.
+* :ghpull:`18513`: Remove Locator.autoscale.
+* :ghpull:`18497`: Merge v3.3.x into master
+* :ghpull:`18502`: Remove the deprecated matplotlib.cm.revcmap()
+* :ghpull:`18506`: Inline ScalarFormatter._formatSciNotation.
+* :ghpull:`18455`: Fix BoundingBox in EPS files.
+* :ghpull:`18275`: feat: StepPatch
+* :ghpull:`18507`: Fewer "soft" dependencies on LaTeX packages.
+* :ghpull:`18378`: Deprecate public access to many mathtext internals.
+* :ghpull:`18494`: Move cbook._check_in_list() to _api.check_in_list()
+* :ghpull:`18423`: 2-D array RGB and RGBA values not understood in plt.plot()
+* :ghpull:`18492`: Fix doc build failure due to #18440
+* :ghpull:`18435`: New environment terminal language
+* :ghpull:`18456`: Reuse InsetLocator to make twinned axes follow their parents.
+* :ghpull:`18440`: List existing rcParams in rcParams docstring.
+* :ghpull:`18453`: FIX: allow manually placed axes in constrained_layout
+* :ghpull:`18473`: Correct link to widgets examples
+* :ghpull:`18466`: Remove unnecessary autoscale handling in hist().
+* :ghpull:`18465`: Don't modify bottom argument in place in stacked histograms.
+* :ghpull:`18468`: Cleanup multiple_yaxis_with_spines example.
+* :ghpull:`18463`: Improve formatting of defaults in docstrings.
+* :ghpull:`6268`: ENH: support alpha arrays in collections
+* :ghpull:`18449`: Remove the private Axes._set_position.
+* :ghpull:`18460`: DOC: example gray level in 'Specifying Colors' tutorial
+* :ghpull:`18426`: plot directive: caption-option
+* :ghpull:`18444`: Support doubleclick in webagg/nbagg
+* :ghpull:`12518`: Example showing scale-invariant angle arc
+* :ghpull:`18446`: Normalize properties passed to ToolHandles.
+* :ghpull:`18445`: Warn if an animation is gc'd before doing anything.
+* :ghpull:`18452`: Move Axes ``__repr__`` from Subplot to AxesBase.
+* :ghpull:`15374`: Replace _prod_vectorized by @-multiplication.
+* :ghpull:`13643`: RecangleSelector constructor does not handle marker_props
+* :ghpull:`18403`: DOC: Remove related topics entries from the sidebar
+* :ghpull:`18421`: Move {get,set}_{x,y}label to _AxesBase.
+* :ghpull:`18429`: DOC: fix date example
+* :ghpull:`18353`: DOCS: describe shared axes behavior with units
+* :ghpull:`18420`: Always strip out date in postscript's test_savefig_to_stringio.
+* :ghpull:`18422`: Decrease output when running ``pytest -s``.
+* :ghpull:`18418`: Cleanup menu example
+* :ghpull:`18419`: Avoid demo'ing passing kwargs to gca().
+* :ghpull:`18372`: DOC: Fix various missing references and typos
+* :ghpull:`18400`: Clarify argument name in constrained_layout error message
+* :ghpull:`18384`: Clarification in ArtistAnimation docstring
+* :ghpull:`17892`: Add earlier color validation
+* :ghpull:`18367`: Support horizontalalignment in TextArea/AnchoredText.
+* :ghpull:`18362`: DOC: Add some types to Returns entries.
+* :ghpull:`18365`: move canvas focus after toomanager initialization
+* :ghpull:`18360`: Add example for specifying figure size in different units
+* :ghpull:`18341`: DOCS: add action items to PR template
+* :ghpull:`18349`: Remove redundant angles in ellipse demo.
+* :ghpull:`18145`: Created a parameter fontset that can be used in each Text element
+* :ghpull:`18344`: More nouns/imperative forms in docs.
+* :ghpull:`18308`: Synchronize units change in Axis.set_units for shared axis
+* :ghpull:`17494`: Rewrite of constrained_layout....
+* :ghpull:`16646`: update colorbar.py make_axes_gridspec
+* :ghpull:`18306`: Fix configure subplots
+* :ghpull:`17509`: Fix ``swap_if_landscape`` call in backend_ps
+* :ghpull:`18323`: Deleted "Our Favorite Recipes" section and moved the examples.
+* :ghpull:`18128`: Change several deprecated symbols in _macosx.m
+* :ghpull:`18251`: Merge v3.3.x into master
+* :ghpull:`18329`: Change default keymap in toolmanager example.
+* :ghpull:`18330`: Dedent rst list.
+* :ghpull:`18286`: Fix imshow to work with subclasses of ndarray.
+* :ghpull:`18320`: Make Colorbar outline into a Spine.
+* :ghpull:`18316`: Safely import pyplot if a GUI framework is already running.
+* :ghpull:`18321`: Capture output of CallbackRegistry exception test.
+* :ghpull:`17900`: Add getters and _repr_html_ for over/under/bad values of Colormap objects.
+* :ghpull:`17930`: Fix errorbar property cycling to match plot.
+* :ghpull:`18290`: Remove unused import to fix flake8.
+* :ghpull:`16818`: Dedupe implementations of configure_subplots().
+* :ghpull:`18284`: TkTimer interval=0 workaround
+* :ghpull:`17901`: DOC: Autoreformating of backend/\*.py
+* :ghpull:`17291`: Normalize gridspec ratios to lists in the setter.
+* :ghpull:`18226`: Use CallbackRegistry in Widgets and some related cleanup
+* :ghpull:`18203`: Force locator and formatter inheritence
+* :ghpull:`18279`: boxplot: Add conf_intervals reference to notch docs.
+* :ghpull:`18276`: Fix autoscaling to exclude inifinite data limits when possible.
+* :ghpull:`18261`: Migrate tk backend tests into subprocesses
+* :ghpull:`17961`: DOCS: Remove How-to: Contributing
+* :ghpull:`18201`: Remove mpl.colors deprecations for 3.4
+* :ghpull:`18223`: Added example on how to make packed bubble charts
+* :ghpull:`18264`: Fix broken links in doc build.
+* :ghpull:`8031`: Add errorbars to mplot3d
+* :ghpull:`18187`: Add option to create horizontally-oriented stem plots
+* :ghpull:`18250`: correctly autolabel Documentation and Maintenance issues
+* :ghpull:`18161`: Add more specific GitHub issue templates
+* :ghpull:`18181`: Replace ttconv by plain python for pdf subsetting
+* :ghpull:`17371`: add context manager functionality to ion and ioff
+* :ghpull:`17789`: Tk backend improvements
+* :ghpull:`15532`: Resolve 'text ignores rotational part of transformation' (#698)
+* :ghpull:`17851`: Fix Axes3D.add_collection3d issues
+* :ghpull:`18205`: Hat graph example
+* :ghpull:`6168`: #5856: added option to create vertically-oriented stem plots
+* :ghpull:`18202`: Remove mpl.testing deprecations for 3.4
+* :ghpull:`18081`: Support scale in ttf composite glyphs
+* :ghpull:`18199`: Some cleanup on TickedStroke
+* :ghpull:`18190`: Use ``super()`` more in  backends
+* :ghpull:`18193`: Allow savefig to save SVGs on FIPS enabled systems #18192
+* :ghpull:`17802`: fix FigureManagerTk close behavior if embedded in Tk App
+* :ghpull:`15458`: TickedStroke, a stroke style with ticks useful for depicting constraints
+* :ghpull:`18178`: DOC: clarify that display space coordinates are not stable
+* :ghpull:`18172`: allow webAgg to report middle click events
+* :ghpull:`17578`: Search for minus of any font size to get height of tex result
+* :ghpull:`17546`: ``func`` argument in ``legend_elements`` with non-monotonically increasing functions
+* :ghpull:`17684`: Deprecate passing bytes to FT2Font.set_text.
+* :ghpull:`17500`: Tst improve memleak
+* :ghpull:`17669`: Small changes to svg font embedding details
+* :ghpull:`18095`: Error on unexpected kwargs in scale classes
+* :ghpull:`18106`: Copy docstring description from Axes.legend() to Figure.legend()
+* :ghpull:`18002`: Deprecate various vector-backend-specific mathtext helpers.
+* :ghpull:`18006`: Fix ToolManager inconsistencies with regular toolbar
+* :ghpull:`18004`: Typos and docs for mathtext fonts.
+* :ghpull:`18133`: DOC: Update paths for moved API/what's new fragments
+* :ghpull:`18122`: Document and test legend argument parsing
+* :ghpull:`18124`: Fix FuncAnimation._draw_frame exception and testing
+* :ghpull:`18125`: pdf: Convert operator list to an Enum.
+* :ghpull:`18123`: Cleanup figure title example
+* :ghpull:`18121`: Improve rasterization demo
+* :ghpull:`18012`: Add explanatory text for rasterization demo
+* :ghpull:`18103`: Support data reference for hexbin() parameter C
+* :ghpull:`17826`: Add pause() and resume() methods to the base Animation class
+* :ghpull:`18090`: Privatize cbook.format_approx.
+* :ghpull:`18080`: Reduce numerical precision in Type 1 fonts
+* :ghpull:`18044`: Super-ify parts of the code base, part 3
+* :ghpull:`18087`: Add a note on working around limit expansion of set_ticks()
+* :ghpull:`18071`: Remove deprecated animation code
+* :ghpull:`17822`: Check for float values for min/max values to ax{v,h}line
+* :ghpull:`18069`: Remove support for multiple-color strings in to_rgba_array
+* :ghpull:`18070`: Remove rcsetup deprecations
+* :ghpull:`18073`: Remove disable_internet.py
+* :ghpull:`18075`: typo in usetex.py example
+* :ghpull:`18043`:  Super-ify parts of the code base, part 2
+* :ghpull:`18062`: Bump matplotlib.patches coverage
+* :ghpull:`17269`: Fix ConciseDateFormatter when plotting a range included in a second
+* :ghpull:`18063`: Remove un-used trivial setters and getters
+* :ghpull:`18025`: add figpager as a third party package
+* :ghpull:`18046`: Discourage references in section headings.
+* :ghpull:`18042`: scatter: Raise if unexpected type of ``s`` argument.
+* :ghpull:`18028`: Super-ify parts of the code base, part 1
+* :ghpull:`18029`: Remove some unused imports.
+* :ghpull:`18018`: Cache realpath resolution in font_manager.
+* :ghpull:`18013`: Use argumentless ``super()`` more.
+* :ghpull:`17988`: add test with -OO
+* :ghpull:`17993`: Make inset_axes and secondary_axis picklable.
+* :ghpull:`17992`: Shorten tight_bbox.
+* :ghpull:`18003`: Deprecate the unneeded Fonts.destroy.
+* :ghpull:`16457`: Build lognorm/symlognorm from corresponding scales.
+* :ghpull:`17966`: Fix some words
+* :ghpull:`17803`: Simplify projection-of-point-on-polyline in contour.py.
+* :ghpull:`17699`: raise RuntimeError appropriately for animation update func
+* :ghpull:`17954`: Remove another overspecified latex geometry.
+* :ghpull:`17948`: Sync Cairo's usetex measurement with base class.
+* :ghpull:`17788`: Tighten a bit the RendererAgg API.
+* :ghpull:`12443`: Warn in colorbar() when mappable.axes != figure.gca().
+* :ghpull:`17926`: Deprecate hatch patterns with invalid values
+* :ghpull:`17922`: Rewrite the barcode example
+* :ghpull:`17890`: Properly use thin space after math text operator
+* :ghpull:`16090`: Change pcolormesh snapping (fixes alpha colorbar/grid issues) [AGG]
+* :ghpull:`17842`: Move "Request a new feature" from How-to to Contributing
+* :ghpull:`17897`: Force origin='upper' in pyplot.specgram
+* :ghpull:`17929`: Improve hatch demo
+* :ghpull:`17927`: Remove unnecessary file save during test
+* :ghpull:`14896`: Updated doc in images.py by adding direct link to 24-bit stink bug png
+* :ghpull:`17909`: frame_format to support all listed by animation writers
+* :ghpull:`13569`: Style cleanup to pyplot.
+* :ghpull:`17924`: Remove the example "Easily creating subplots"
+* :ghpull:`17869`: FIX: new date rcParams weren't being evaluated
+* :ghpull:`17921`: Added density and combination hatching examples
+* :ghpull:`17159`: Merge consecutive rasterizations
+* :ghpull:`17895`: Use indexed color for PNG images in PDF files when possible
+* :ghpull:`17894`: DOC: Numpydoc format.
+* :ghpull:`17884`: Created Hatch marker styles Demo for Example Gallery
+* :ghpull:`17347`: ENH: reuse oldgridspec is possible...
+* :ghpull:`17915`: Document that set_ticks() increases view limits if necessary
+* :ghpull:`17902`: Fix figure size in path effects guide
+* :ghpull:`17899`: Add missing space in cairo error
+* :ghpull:`17888`: Add _repr_png_ and _repr_html_ to Colormap objects.
+* :ghpull:`17830`: Fix BoundaryNorm for multiple colors and one region
+* :ghpull:`17883`: Remove Python 3.6 compatibility shims
+* :ghpull:`17889`: Minor doc fixes
+* :ghpull:`17879`: Link to style-file example page in style tutorial
+* :ghpull:`17876`: Fix description of subplot2grid arguments
+* :ghpull:`17856`: Clarify plotnonfinite parameter docs of scatter()
+* :ghpull:`17843`: Add fullscreen toggle support to WxAgg backend
+* :ghpull:`17022`: ENH: add rcParam for ConciseDate and interval_multiples
+* :ghpull:`17799`: Deduplicate attribute docs of ContourSet and its derived classes
+* :ghpull:`17847`: Remove overspecified latex geometry.
+* :ghpull:`17662`: Mnt drop py36
+* :ghpull:`17845`: Fix size of donate button
+* :ghpull:`17825`: Add quick-link buttons for contributing
+* :ghpull:`17837`: Remove "Reporting a bug or submitting a patch" from How-to
+* :ghpull:`17828`: API: treat xunits=None and yunits=None as "default"
+* :ghpull:`17839`: Avoid need to lock in dvi generation, to avoid deadlocks.
+* :ghpull:`17824`: Improve categorical converter error message
+* :ghpull:`17834`: Keep using a single dividers LineCollection instance in colorbar.
+* :ghpull:`17838`: Prefer colorbar(ScalarMappable(...)) to ColorbarBase in tutorial.
+* :ghpull:`17836`: More precise axes section names in docs
+* :ghpull:`17835`: Colorbar cleanups.
+* :ghpull:`17727`: FIX: properly handle dates when intmult is true
+* :ghpull:`15617`: Dev docs update
+* :ghpull:`17819`: Fix typos in tight layout guide
+* :ghpull:`17806`: Set colorbar label only in set_label.
+* :ghpull:`17265`: Mnt rearrange next api again
+* :ghpull:`17808`: Improve docstring of ColorbarBase.set_label()
+* :ghpull:`17723`: Deprecate FigureCanvas.{get,set}_window_title.
+* :ghpull:`17798`: Fix overindented bullet/enumerated lists.
+* :ghpull:`17767`: Allow list of hatches to {bar, barh}
+* :ghpull:`17749`: Deprecate ``FancyBboxPatch(..., boxstyle="custom", bbox_transmuter=...)``
+* :ghpull:`17783`: DOC: point to bbox static "constructor" functions in set_position
+* :ghpull:`17782`: MNT: update mailmap
+* :ghpull:`17776`: Changes in the image for test_load_from_url
+* :ghpull:`17750`: Soft-deprecate mutation_aspect=None.
+* :ghpull:`17780`: Reorganize colorbar docstrings.
+* :ghpull:`17778`: Fix whatsnew confusing typo.
+* :ghpull:`17748`: Don't use bezier helpers in axisartist.
+* :ghpull:`17700`: Remove remnants of macosx old-style toolbar.
+* :ghpull:`17753`: Support location="left"/"top" for gridspec-based colorbars.
+* :ghpull:`17761`: Update hard-coded results in artist tutorial
+* :ghpull:`17728`: Move Win32_{Get,Set}ForegroundWindow to c_internal_utils.
+* :ghpull:`17754`: Small cleanups to contour() code.
+* :ghpull:`17751`: Deprecate dpi_cor property of FancyArrowPatch.
+* :ghpull:`15941`: FontManager fixes.
+* :ghpull:`17661`: Issue #17659: set tick color and tick labelcolor independently from rcParams
+* :ghpull:`17389`: Don't duplicate docstrings of pyplot-level cmap setters.
+* :ghpull:`17555`: Set Win32 AppUserModelId to fix taskbar icons.
+* :ghpull:`17726`: Clarify docs of box_aspect()
+* :ghpull:`17704`: Remove "created-by-matplotlib" comment in svg output.
+* :ghpull:`17697`: Add description examples/pyplots/pyplot simple.py
+* :ghpull:`17694`: CI: Only skip devdocs deploy if PR is to this repo.
+* :ghpull:`17691`: ci: Print out reasons for not deploying docs.
+* :ghpull:`17099`: Make Spines accessable by the attributes.
+
+Issues (204):
+
+* :ghissue:`19701`: Notebook plotting regression in 3.4.0rc*
+* :ghissue:`19754`: add space in python -mpip
+* :ghissue:`18364`: ``Axes3d`` attaches itself to a figure, where as ``Axes`` does not
+* :ghissue:`19700`: Setting pickradius regression in 3.4.0rc
+* :ghissue:`19594`: code of conduct link 404s
+* :ghissue:`19576`: duplicate pick events firing
+* :ghissue:`19560`: segfault due to font objects when multi-threading
+* :ghissue:`19598`: Axes order changed in 3.4.0rc1
+* :ghissue:`19631`: subplot mosaic 1 element list
+* :ghissue:`19581`: Missing kerning for single-byte strings in PDF
+* :ghissue:`17769`: interactive figure close with wxpython 4.1 causes freeze / crash (segfault?)
+* :ghissue:`19427`: Fix mistake in documentation
+* :ghissue:`19624`: Cannot add colorbar to figure after pickle
+* :ghissue:`19544`: Regression in 3.4.0rc1 in creating ListedColormap from a set
+* :ghissue:`5855`: plt.step(..., where="auto")
+* :ghissue:`19474`: Memory leak with CallbackRegistry
+* :ghissue:`19345`: legend is eating up huge amounts of memory
+* :ghissue:`19066`: plt.scatter, error with NaN values and edge color
+* :ghissue:`19432`: Unexpected change in behavior in plt.subplot
+* :ghissue:`18020`: Scatter3D: facecolor or color to "none" leads to an error
+* :ghissue:`18939`: Warn re: Axes3D constructor behavior change in mpl3.4
+* :ghissue:`19128`: webagg reports incorrect values for non-alphanumeric key events on non-qwerty keyboards
+* :ghissue:`16558`: Request: for non-interactive backends make fig.canvas.draw() force the render
+* :ghissue:`19234`: tick labels displaced vertically with text.usetex and xcolor
+* :ghissue:`18407`: pgf backend no longer supports fig.draw
+* :ghissue:`2298`: axes.xmargin/ymargin rcParam behaves differently than pyplot.margins()
+* :ghissue:`19473`: Animations in Tkinter window advance non-uniformly
+* :ghissue:`8688`: document moved examples
+* :ghissue:`9553`: Display warning on out-of-date documentation websites
+* :ghissue:`9556`: Examples page version is out of date
+* :ghissue:`12374`: Examples in docs should be redirected to latest version number
+* :ghissue:`19486`: Figure.tight_layout() raises MatplotlibDeprecationWarning
+* :ghissue:`19445`: axline transform support broke axline in loglog scale
+* :ghissue:`19178`: mathtext \lim is vertically misaligned
+* :ghissue:`19446`: Better document and error handle third dimension in pyplot.text() positional argument
+* :ghissue:`8790`: Inconsistent doc vs behavior for RendererXXX.draw_markers
+* :ghissue:`18815`: Patch3D object does not return correct face color with get_facecolor
+* :ghissue:`19152`: Automatically Aligned Labels outside Figure with Constrained Layout in Exported File
+* :ghissue:`18934`: stairs() crashes with no values and one edge
+* :ghissue:`11296`: Image in github repo does not match matplotlib.org (breaks image tutorial)
+* :ghissue:`18699`: Issue with downloading stinkbug for "Image Tutorial"
+* :ghissue:`19405`: TypeError constructor returned NULL in wayland session
+* :ghissue:`18962`: Table CSS needs cleanup
+* :ghissue:`19417`: CI failing on numpy...
+* :ghissue:`17849`: Problems caused by changes to logic of scatter coloring in matplotlib 3.3.0.rc1
+* :ghissue:`18648`: Drop support for directly imread()ing urls.
+* :ghissue:`19366`: Current CI doc builds fail
+* :ghissue:`19372`: matplotlib.axes.Axes.indicate_inset default label value is incompatible with LaTeX
+* :ghissue:`17100`: Is it a better solution to access one of the spines by class attribute?
+* :ghissue:`17375`: Proposal: add_subfigs....
+* :ghissue:`19339`: constrained_layout + fixed-aspect axes + bbox_inches="tight"
+* :ghissue:`19308`: Reduce whitespace in Choosing Colormaps tutorial plots
+* :ghissue:`18832`: MNT: Remove AxesStack and deprecated behavior of reuse of existing axes with same arguments
+* :ghissue:`19084`: Arrow coordinates slightly off when used with annotation text
+* :ghissue:`17765`: PGF xelatex can't find fonts in special-character paths
+* :ghissue:`19274`: Missing marker in documentation of plot
+* :ghissue:`18241`: LaTeX overset: unknown symbol
+* :ghissue:`19292`: Non interpolated placeholder value in docstring.
+* :ghissue:`18119`: Can no longer deepcopy LogNorm objects on master
+* :ghissue:`8665`: Noninteger Bases in mathtext sqrt
+* :ghissue:`19243`: matplotlib doesn't build with qhull-2020.2
+* :ghissue:`19275`: Double specifications of plot attributes
+* :ghissue:`15066`: Feature request: stem3
+* :ghissue:`19209`: Segfault when trying to create gigapixel image with agg backend
+* :ghissue:`4321`: clabel ticks and axes limits with eps zoom output
+* :ghissue:`16376`: ``SymLogNorm`` and ``SymLogScale`` give inconsistent results....
+* :ghissue:`19239`: _make_norm_from_scale needs to process values
+* :ghissue:`16552`: Scatter autoscaling still has issues with log scaling and zero values
+* :ghissue:`18417`: Documentation issue template should ask for matplotlib version
+* :ghissue:`19206`: matplotlib.cbook.Grouper: Example raise exception:
+* :ghissue:`19203`: Date Tick Labels example
+* :ghissue:`18581`: Add a check in check_figures_equal that the test did not accidentally plot on non-fixture figures
+* :ghissue:`18563`: Create a RangeSlider widget
+* :ghissue:`19099`: axisartist axis_direction bug
+* :ghissue:`19171`: 3D surface example bug for non-square grid
+* :ghissue:`18112`: set_{x,y,z}bound 3d limits are not persistent upon interactive rotation
+* :ghissue:`19078`: _update_patch_limits should not use CLOSEPOLY verticies for updating
+* :ghissue:`16123`: test_dpi_ratio_change fails on Windows/Qt5Agg
+* :ghissue:`15796`: [DOC] PDF build of matplotlib own documentation crashes with LaTeX error "too deeply nested"
+* :ghissue:`19091`: 3D Axes don't work in SubFigures
+* :ghissue:`7238`: better document how to configure artists for picking
+* :ghissue:`11147`: FR: add a supxlabel and supylabel as the suptitle function which are already exist
+* :ghissue:`17417`: tutorial on how autoscaling works
+* :ghissue:`18917`: Spy displays nothing for full arrays
+* :ghissue:`18562`: Allow slider valstep to be arraylike
+* :ghissue:`18942`: AnnotationBbox errors with kwargs
+* :ghissue:`11472`: Mention predefined keyboard shortcuts in the docs on event-handling
+* :ghissue:`18898`: wrong bounds checking in streamplot start_points
+* :ghissue:`18974`: Contour label demo would benefit from some more info and/or references.
+* :ghissue:`17708`: Mention rasterized option in more methods
+* :ghissue:`18826`: Pgf plots with pdflatex broken
+* :ghissue:`18959`: Add sphinx-gallery cross ref instructions to documenting guide
+* :ghissue:`18926`: Font not installed, unclear warning
+* :ghissue:`18891`: SVG animation doesn't work in HTMLWriter due to wrong type
+* :ghissue:`18222`: It is painful as a new user, to figure out what AxesSubplot is
+* :ghissue:`16153`: gap size for contour labels is poorly estimated
+* :ghissue:`17910`: Improve accessibility of form controls in HTML widgets
+* :ghissue:`18273`: Surprising behavior of shared axes with categorical units
+* :ghissue:`18731`: Compact string notation for subplot_mosaic
+* :ghissue:`18221`: Add example of keys to explore 3D data
+* :ghissue:`18882`: Incorrect version requirement message from setup.py
+* :ghissue:`18491`: Mostly unused glossary still exists in our docs
+* :ghissue:`18548`: add_subplot(..., axes_cls=...)
+* :ghissue:`8249`: Bug in mpl_connect(): On Windows, with the wx backend, arrow keys are not reported
+* :ghissue:`15609`: [SPRINT] Update Named Colors Example
+* :ghissue:`18800`: Log-scale ticker fails at 1e-323
+* :ghissue:`18392`: ``scatter()``: ``edgecolor`` takes precedence over ``edgecolors``
+* :ghissue:`18301`: "How to use Matplotlib in a web application server" should be made an example
+* :ghissue:`18386`: Path3DCollection.set_color(self, c) does not change the color of scatter points.
+* :ghissue:`8946`: Axes with sharex can have divergent axes after setting tick markers
+* :ghissue:`2294`: tex option not respected by date x-axis
+* :ghissue:`4382`: use new binary comm in nbagg
+* :ghissue:`17088`: ``projection`` kwarg could be better documented.
+* :ghissue:`18717`: Tick formatting issues on horizontal histogram with datetime on 3.3.2
+* :ghissue:`12636`: Characters doesn't display correctly when figure saved as pdf with a custom font
+* :ghissue:`18377`: Matplotlib picks a headless backend on Linux if Wayland is available but X11 isn't
+* :ghissue:`13199`: Examples that use private APIs
+* :ghissue:`18662`: Inconsistent setting of axis limits with autoscale=False
+* :ghissue:`18690`: Class deprecation machinery and mixins
+* :ghissue:`18510`: Build fails on OS X: wrong minimum version
+* :ghissue:`18641`: Conversion cache cleaning is broken with xdist
+* :ghissue:`15614`: named color examples need borders
+* :ghissue:`5519`: The linestyle 'None',  ' ' and '' not supported by PathPatch.
+* :ghissue:`17487`: Polygon selector with useblit=True - polygon dissapears
+* :ghissue:`17476`: RectangleSelector fails to clear itself after being toggled inactive and then back to active.
+* :ghissue:`18600`: plt.errorbar raises error when given marker=<matplotlib.markers.MarkerStyle object>
+* :ghissue:`18355`: Optional components required to build docs aren't documented
+* :ghissue:`18428`: small bug in the mtplotlib gallery
+* :ghissue:`4438`: inconsistent behaviour of the errorevery option in pyplot.errorbar() to the markevery keyword
+* :ghissue:`5823`: pleas dont include the Google Analytics tracking in the off-line doc
+* :ghissue:`13035`: Path3DCollection from 3D scatter cannot set_color
+* :ghissue:`9725`: scatter - set_facecolors is not working on Axes3D
+* :ghissue:`3370`: Patch3DCollection doesn't update color after calling set_color
+* :ghissue:`18427`: yaxis.set_label_position("right") resets "horizontalalignment"
+* :ghissue:`3129`: super-ify the code base
+* :ghissue:`17518`: Plotting legend throws error "font family ['serif'] not found. Falling back to DejaVu Sans"
+* :ghissue:`18282`: Bad interaction between kerning and non-latin1 characters in pdf output
+* :ghissue:`6669`: [Feature request] Functions for "manually" plotting histograms
+* :ghissue:`18411`: 2-D array RGB and RGBA values not understood in plt.plot()
+* :ghissue:`18404`: Double-click events are not recognised in Jupyter notebook
+* :ghissue:`12027`: marker_props is never used in the constructor of RectangleSelector
+* :ghissue:`18438`: Warn when a non-started animation is gc'ed.
+* :ghissue:`11259`: Symbols appear as streaks with usetex=True, times font and PDF backend
+* :ghissue:`18345`: Specify what sharex and sharey do...
+* :ghissue:`18082`: Feature Request: Non overlapping Bubble Plots
+* :ghissue:`568`: Support error bars on 3D plots
+* :ghissue:`17865`: Earlier validation of color inputs
+* :ghissue:`18363`: ha="right" breaks AnchoredText placement.
+* :ghissue:`11050`: keyboard shortcuts don't get registered using the experimental toolmanager with qt
+* :ghissue:`17906`: Set mathtext.fontset per element
+* :ghissue:`18311`: Subplot scatter plot with categorical data on y-axis with 'sharey=True' option overwrites the y-axis labels
+* :ghissue:`10304`: No link to shared axes for Axis.set_units
+* :ghissue:`17712`: constrained_layout fails on suptitle+colorbars+some figure sizes
+* :ghissue:`14638`: colorbar.make_axes doesn't anchor in constrained_layout
+* :ghissue:`18299`: New configure_subplots behaves badly on TkAgg backend
+* :ghissue:`18300`: Remove the examples category "Our Favorite Recipies"
+* :ghissue:`18077`: Imshow breaks if given a unyt_array input
+* :ghissue:`7074`: Using a linestyle cycler with plt.errorbar results in strange plots
+* :ghissue:`18236`: FuncAnimation fails to display with interval 0 on Tkagg backend
+* :ghissue:`8107`:  invalid command name "..._on_timer" in FuncAnimation for (too) small interval
+* :ghissue:`18272`: Add CI Intervall to boxplot notch documentation
+* :ghissue:`18137`: axhspan() in empty plots changes the xlimits of plots sharing the X axis
+* :ghissue:`18246`: test_never_update is flaky
+* :ghissue:`5856`: Horizontal stem plot
+* :ghissue:`18160`: Add feature request template
+* :ghissue:`17197`: Missing character upon savefig() with Free Serif font
+* :ghissue:`17013`: Request: provide a contextmanager for ioff or allow plt.figure(draw_on_create=False)
+* :ghissue:`17537`: hat graphs need an example...
+* :ghissue:`17755`: mplot3d: add_collection3d issues
+* :ghissue:`18192`: Cannot save SVG file with FIPS compliant Python
+* :ghissue:`17574`: Vertical alignment of tick labels containing minus in font size other than 10 with usetex=True
+* :ghissue:`18097`: Feature Request: Allow hexbin to use a string for parameter C to refer to column in data (DataFrame)
+* :ghissue:`17689`: Add pause/resume methods to Animation baseclass
+* :ghissue:`16087`: Error with greek letters in pdf export when using usetex=True and mathptmx
+* :ghissue:`17136`: set_ticks() changes view limits of the axis
+* :ghissue:`12198`: axvline incorrectly tries to handle unitized ymin, ymax
+* :ghissue:`9139`: Python3 matplotlib 2.0.2 with Times New Roman misses unicode minus sign in pdf
+* :ghissue:`5970`: pyplot.scatter raises obscure error when mistakenly passed a third string param
+* :ghissue:`17936`: documenattion and behavior do not match for suppressing (PDF) metadata
+* :ghissue:`17932`: latex textrm does not work in Cairo backend
+* :ghissue:`17714`: Universal fullscreen command
+* :ghissue:`4584`: ColorbarBase draws edges in slightly wrong positions.
+* :ghissue:`17878`: flipping of imshow in specgram
+* :ghissue:`6118`: consider using qtpy for qt abstraction layer
+* :ghissue:`17908`: rcParams restrictions on frame_formats are out of sync with supported values (HTMLWriter)
+* :ghissue:`17867`: datetime plotting broken on master
+* :ghissue:`16810`: Docs do not build in parallel
+* :ghissue:`17918`: Extend hatch reference
+* :ghissue:`17149`: Rasterization creates multiple bitmap elements and large file sizes
+* :ghissue:`17855`: Add Hatch Example to gallery
+* :ghissue:`15821`: Should constrained_layout work as plt.figure() argument?
+* :ghissue:`15616`: Colormaps should have a ``_repr_html_`` that is an image of the colormap
+* :ghissue:`17579`: ``BoundaryNorm`` yield a ``ZeroDivisionError: division by zero``
+* :ghissue:`17652`: NEP 29 : Stop support fro Python 3.6 soon ?
+* :ghissue:`11095`: Repeated plot calls with xunits=None throws exception
+* :ghissue:`17733`: Rename "array" (and perhaps "fields") section of Axes API
+* :ghissue:`15610`: Link to most recent DevDocs when installing from Master Source
+* :ghissue:`17817`: (documentation, possible first-timer bug) Typo and grammar on Legends and Annotations for tight layout guide page
+* :ghissue:`17804`: Setting the norm on imshow object removes colorbar ylabel
+* :ghissue:`17758`: bar, barh should take a list of hatches like it does of colors
+* :ghissue:`17746`: Antialiasing with colorbars?
+* :ghissue:`17659`: Enhancement: Set tick and ticklabel colors separately from matplotlib style file
+* :ghissue:`17144`: Wrong icon on windows task bar for figure windows
+* :ghissue:`2870`: Wrong symbols from a TrueType font
diff --git a/doc/users/prev_whats_new/github_stats_3.4.1.rst b/doc/users/prev_whats_new/github_stats_3.4.1.rst
new file mode 100644
index 000000000000..0819a6850a3e
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.4.1.rst
@@ -0,0 +1,55 @@
+.. _github-stats-3-4-1:
+
+GitHub statistics for 3.4.1 (Mar 31, 2021)
+==========================================
+
+GitHub statistics for 2021/03/26 (tag: v3.4.0) - 2021/03/31
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 7 issues and merged 20 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/61?closed=1>`__
+
+The following 6 authors contributed 43 commits.
+
+* Antony Lee
+* Elliott Sales de Andrade
+* Jody Klymak
+* Thomas A Caswell
+* Tim Hoffmann
+* Xianxiang Li
+
+GitHub issues and pull requests:
+
+Pull Requests (20):
+
+* :ghpull:`19834`: Backport PR #19812: FIX: size and color rendering for Path3DCollection
+* :ghpull:`19833`: Backport PR #19811 on branch v3.4.x (Fix Inkscape cleanup at exit on Windows.)
+* :ghpull:`19812`: FIX: size and color rendering for Path3DCollection
+* :ghpull:`19811`: Fix Inkscape cleanup at exit on Windows.
+* :ghpull:`19816`: Fix legend of colour-mapped scatter plots.
+* :ghpull:`19830`: Backport PR #19824 on branch v3.4.x (Access pdf annotations while inside pikepdf.Pdf context manager.)
+* :ghpull:`19829`: Backport PR #19822 on branch v3.4.x (Clarify default backend selection doc.)
+* :ghpull:`19827`: Backport PR #19805 on branch v3.4.x (Fix suptitle out of layout)
+* :ghpull:`19824`: Access pdf annotations while inside pikepdf.Pdf context manager.
+* :ghpull:`19805`: Fix suptitle out of layout
+* :ghpull:`19823`: Backport PR #19814 on branch v3.4.x (Fix positioning of annotation arrow.)
+* :ghpull:`19820`: Backport PR #19817 on branch v3.4.x (Fix antialiasing with old pycairo/cairocffi.)
+* :ghpull:`19814`: Fix positioning of annotation arrow.
+* :ghpull:`19817`: Fix antialiasing with old pycairo/cairocffi.
+* :ghpull:`19818`: Backport PR #19784 on branch v3.4.x (FIX errorbar problem with fillstyle)
+* :ghpull:`19784`: FIX errorbar problem with fillstyle
+* :ghpull:`19815`: Backport PR #19793 on branch v3.4.x (Fix non existent URIs)
+* :ghpull:`19793`: Fix non existent URIs
+* :ghpull:`19783`: Backport PR #19719 on branch v3.4.x (Respect antialiasing settings in cairo backends as well.)
+* :ghpull:`19719`: Respect antialiasing settings in cairo backends as well.
+
+Issues (7):
+
+* :ghissue:`19779`: BUG: matplotlib 3.4.0 -- Scatter with colormap and legend gives TypeError: object of type 'NoneType' has no len()
+* :ghissue:`19787`: Marker sizes in Axes3D scatter plot are changing all the time
+* :ghissue:`19809`: Tests that use "image_comparison" fail to cleanup on Windows
+* :ghissue:`19803`: Suptitle positioning messed up in 3.4.0
+* :ghissue:`19785`: Starting point of annotation arrows has changed in 3.4.0
+* :ghissue:`19776`: Errorbars with yerr fail when fillstyle is specified
+* :ghissue:`19780`: redirect_from extension breaks latex build
diff --git a/doc/users/prev_whats_new/github_stats_3.4.2.rst b/doc/users/prev_whats_new/github_stats_3.4.2.rst
new file mode 100644
index 000000000000..22b4797c2fc2
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.4.2.rst
@@ -0,0 +1,153 @@
+.. _github-stats-3-4-2:
+
+GitHub statistics for 3.4.2 (May 08, 2021)
+==========================================
+
+GitHub statistics for 2021/03/31 (tag: v3.4.1) - 2021/05/08
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 21 issues and merged 97 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/63?closed=1>`__
+
+The following 13 authors contributed 138 commits.
+
+* AkM-2018
+* Antony Lee
+* David Stansby
+* Elliott Sales de Andrade
+* hannah
+* Ian Thomas
+* Jann Paul Mattern
+* Jody Klymak
+* pwohlhart
+* richardsheridan
+* Thomas A Caswell
+* Tim Hoffmann
+* Xianxiang Li
+
+GitHub issues and pull requests:
+
+Pull Requests (97):
+
+* :ghpull:`20184`: Backport PR #20147 on branch v3.4.x (DOC: add example of labelling axes)
+* :ghpull:`20181`: Backport PR #20171 on branch v3.4.x (Remove unsupported arguments from tricontourf documentation)
+* :ghpull:`20180`: Backport PR #19876 on branch v3.4.x (FIX: re-order unit conversion and mask array coercion)
+* :ghpull:`20171`: Remove unsupported arguments from tricontourf documentation
+* :ghpull:`19876`: FIX: re-order unit conversion and mask array coercion
+* :ghpull:`20178`: Backport PR #20150 on branch v3.4.x
+* :ghpull:`20172`: Backport PR #20161 on branch v3.4.x (Fix resetting grid visibility)
+* :ghpull:`20161`: Fix resetting grid visibility
+* :ghpull:`20167`: Backport PR #20146 on branch v3.4.x (Don't clip clip paths to Figure bbox.)
+* :ghpull:`20166`: Backport PR #19978 on branch v3.4.x (fixed bug in CenteredNorm, issue #19972)
+* :ghpull:`20146`: Don't clip clip paths to Figure bbox.
+* :ghpull:`19978`: fixed bug in CenteredNorm, issue #19972
+* :ghpull:`20160`: Backport PR #20148 on branch v3.4.x (FIX: MouseButton representation in boilerplate generated signatures)
+* :ghpull:`20148`: FIX: MouseButton representation in boilerplate generated signatures
+* :ghpull:`20152`: Backport PR #20145 on branch v3.4.x (Fix broken link to ggplot in docs)
+* :ghpull:`20139`: Backport PR #20135 on branch v3.4.x (Add tricontour/tricontourf arguments(corner_mask, vmin vmax, antialiased, nchunk, hatches) documentation)
+* :ghpull:`20135`: Add tricontour/tricontourf arguments(corner_mask, vmin vmax, antialiased, nchunk, hatches) documentation
+* :ghpull:`20136`: Backport PR #19959 on branch v3.4.x (Bugfix Tk start_event_loop)
+* :ghpull:`19959`: Bugfix Tk start_event_loop
+* :ghpull:`20128`: Backport PR #20123 on branch v3.4.x (Ensure that Matplotlib is importable even if there's no HOME.)
+* :ghpull:`20123`: Ensure that Matplotlib is importable even if there's no HOME.
+* :ghpull:`20009`: Fix removal of shared polar axes.
+* :ghpull:`20104`: Backport PR #19686 on branch v3.4.x (Declare sphinxext.redirect_from parallel_read_safe)
+* :ghpull:`19686`: Declare sphinxext.redirect_from parallel_read_safe
+* :ghpull:`20098`: Backport PR #20096 on branch v3.4.x (Ignore errors for sip with no setapi.)
+* :ghpull:`20096`: Ignore errors for sip with no setapi.
+* :ghpull:`20087`: Backport PR #20083 on branch v3.4.x (Revert "Temporarily switch intersphinx to latest pytest.")
+* :ghpull:`20085`: Backport PR #20082 on branch v3.4.x (Fix bar_label for bars with nan values)
+* :ghpull:`20082`: Fix bar_label for bars with nan values
+* :ghpull:`20076`: Backport PR #20062 on branch v3.4.x ([DOC] Add top-level .. module:: definition for matplotlib)
+* :ghpull:`20043`: Backport PR #20041 on branch v3.4.x (Clarify docs for stackplot.)
+* :ghpull:`20041`: Clarify docs for stackplot.
+* :ghpull:`20039`: Backport PR #20037 on branch v3.4.x (Don't generate wheels unusable on PyPy7.3.{0,1}.)
+* :ghpull:`20037`: Don't generate wheels unusable on PyPy7.3.{0,1}.
+* :ghpull:`20033`: Backport PR #20031 on branch v3.4.x (Cleanup widget examples)
+* :ghpull:`20031`: Cleanup widget examples
+* :ghpull:`20022`: Backport PR #19949 on branch v3.4.x (FIX: subfigure indexing error)
+* :ghpull:`19949`: FIX: subfigure indexing error
+* :ghpull:`20018`: Backport PR #20017 on branch v3.4.x (FIX typos in imshow_extent.py)
+* :ghpull:`20017`: FIX typos in imshow_extent.py
+* :ghpull:`20015`: Backport PR #19962 on branch v3.4.x (Dev install troubleshooting)
+* :ghpull:`19962`: Dev install troubleshooting
+* :ghpull:`20002`: Backport PR #19995 on branch v3.4.x (Fix valinit argument to RangeSlider)
+* :ghpull:`20004`: Backport PR #19999 on branch v3.4.x (DOC: add note about axes order to docstring)
+* :ghpull:`19998`: Backport PR #19964 on branch v3.4.x (FIX: add subplot_mosaic axes in the order the user gave them to us)
+* :ghpull:`19999`: DOC: add note about axes order to docstring
+* :ghpull:`19997`: Backport PR #19992 on branch v3.4.x (Minor fixes to polar locator docstrings.)
+* :ghpull:`19995`: Fix valinit argument to RangeSlider
+* :ghpull:`19964`: FIX: add subplot_mosaic axes in the order the user gave them to us
+* :ghpull:`19993`: Backport PR #19983 on branch v3.4.x (Fix handling of "d" glyph in backend_ps.)
+* :ghpull:`19992`: Minor fixes to polar locator docstrings.
+* :ghpull:`19991`: Backport PR #19987 on branch v3.4.x (Fix set_thetalim((min, max)).)
+* :ghpull:`19976`: Backport PR #19970 on branch v3.4.x (Initialize members of PathClipper and check for m_has_init)
+* :ghpull:`19983`: Fix handling of "d" glyph in backend_ps.
+* :ghpull:`19987`: Fix set_thetalim((min, max)).
+* :ghpull:`19970`: Initialize members of PathClipper and check for m_has_init
+* :ghpull:`19973`: Backport PR #19971 on branch v3.4.x (Fix missing closing bracket in docs)
+* :ghpull:`19971`: Fix missing closing bracket in docs
+* :ghpull:`19966`: Backport PR #19963 on branch v3.4.x (test_StrCategoryLocator using parameterized plotter)
+* :ghpull:`19965`: Backport PR #19961 on branch v3.4.x (FIX: subfigure tightbbox)
+* :ghpull:`19963`: test_StrCategoryLocator using parameterized plotter
+* :ghpull:`19961`: FIX: subfigure tightbbox
+* :ghpull:`19953`: Backport PR #19919 on branch v3.4.x (Copy errorbar style normalization to 3D)
+* :ghpull:`19919`: Copy errorbar style normalization to 3D
+* :ghpull:`19950`: Backport PR #19948 on branch v3.4.x (Allow numpy arrays to be used as elinewidth)
+* :ghpull:`19948`: Allow numpy arrays to be used as elinewidth
+* :ghpull:`19944`: Backport PR #19939 on branch v3.4.x (add highlight-text to the third party packages list)
+* :ghpull:`19921`: Backport PR #19913 on branch v3.4.x (Minor docstring improvement for set_aspect())
+* :ghpull:`19920`: Backport PR #19903 on branch v3.4.x (Fix textbox cursor color, set its linewidth.)
+* :ghpull:`19913`: Minor docstring improvement for set_aspect()
+* :ghpull:`19903`: Fix textbox cursor color, set its linewidth.
+* :ghpull:`19917`: Backport PR #19911 on branch v3.4.x (Shorten "how-to draw order")
+* :ghpull:`19916`: Backport PR #19888 on branch v3.4.x (Fix errorbar drawstyle)
+* :ghpull:`19911`: Shorten "how-to draw order"
+* :ghpull:`19888`: Fix errorbar drawstyle
+* :ghpull:`19910`: Backport PR #19895 on branch v3.4.x (Added PyPI info to third party page)
+* :ghpull:`19895`: Added PyPI info to third party page
+* :ghpull:`19896`: Backport PR #19893 on branch v3.4.x (Remove Howto: Plot numpy.datetime64 values)
+* :ghpull:`19893`: Remove Howto: Plot numpy.datetime64 values
+* :ghpull:`19886`: Backport PR #19881 on branch v3.4.x (Remove two sections from Plotting FAQ)
+* :ghpull:`19877`: Backport PR #19863 on branch v3.4.x (Cleanup docstrings related to interactive mode)
+* :ghpull:`19881`: Remove two sections from Plotting FAQ
+* :ghpull:`19885`: Backport PR #19883 on branch v3.4.x (Small cleanups to FAQ.)
+* :ghpull:`19883`: Small cleanups to FAQ.
+* :ghpull:`19878`: Backport PR #19867 on branch v3.4.x (Remove "Use show()" from how-to )
+* :ghpull:`19875`: Backport PR #19868 on branch v3.4.x (Remove "Install from source" from Installing FAQ)
+* :ghpull:`19867`: Remove "Use show()" from how-to
+* :ghpull:`19863`: Cleanup docstrings related to interactive mode
+* :ghpull:`19868`: Remove "Install from source" from Installing FAQ
+* :ghpull:`19874`: Backport PR #19847 on branch v3.4.x (Reformat references (part 2))
+* :ghpull:`19847`: Reformat references (part 2)
+* :ghpull:`19865`: Backport PR #19860 on branch v3.4.x (Move "howto interpreting box plots" to boxplot docstring)
+* :ghpull:`19860`: Move "howto interpreting box plots" to boxplot docstring
+* :ghpull:`19862`: Backport PR #19861 on branch v3.4.x (Remove FAQ Installing - Linux notes)
+* :ghpull:`19861`: Remove FAQ Installing - Linux notes
+* :ghpull:`18060`: Correctly handle 'none' facecolors in do_3d_projection
+* :ghpull:`19846`: Backport PR #19788 on branch v3.4.x (Reformat references)
+
+Issues (21):
+
+* :ghissue:`19871`: Matplotlib >= v3.3.3 breaks with pandas.plotting.register_matplotlib_converters(), ax.pcolormesh(), and datetime objects
+* :ghissue:`20149`: KeyError: 'gridOn' in axis.py when axis.tick_params() is used with reset = True
+* :ghissue:`20127`: Zooming on a contour plot with clipping results in bad clipping
+* :ghissue:`19972`: CenteredNorm with halfrange raises exception when passed to imshow
+* :ghissue:`19940`: Tkagg event loop throws error on window close
+* :ghissue:`20122`: Run in a system service / without configuration
+* :ghissue:`19989`: Removal of y-shared polar axes causes crash at draw time
+* :ghissue:`19988`: Removal of x-shared polar axes causes crash
+* :ghissue:`20040`: AttributeError: module 'sip' has no attribute 'setapi'
+* :ghissue:`20058`: bar_label fails with nan data values
+* :ghissue:`20036`: Minor changes about stackplot documentation
+* :ghissue:`20014`: undefined symbol: PyPyUnicode_ReadChar
+* :ghissue:`19947`: Figure.subfigures dont show/update correctly
+* :ghissue:`19960`: Failed to init RangeSlider with valinit attribute
+* :ghissue:`19736`: subplot_mosaic axes are not added in consistent order
+* :ghissue:`19979`: Blank EPS figures if plot contains 'd'
+* :ghissue:`19938`: unuseful deprecation warning figbox
+* :ghissue:`19958`: subfigures missing bbox_inches attribute in inline backend
+* :ghissue:`19936`: Errorbars elinewidth raise error when numpy array
+* :ghissue:`19879`: Using "drawstyle" raises AttributeError in errorbar, when yerr is specified.
+* :ghissue:`19454`: I cannot import matplotlib.pyplot as plt
diff --git a/doc/users/prev_whats_new/github_stats_3.4.3.rst b/doc/users/prev_whats_new/github_stats_3.4.3.rst
new file mode 100644
index 000000000000..b248bf69b6ef
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.4.3.rst
@@ -0,0 +1,133 @@
+.. _github-stats-3-4-3:
+
+GitHub statistics for 3.4.3 (August 21, 2021)
+=============================================
+
+GitHub statistics for 2021/05/08 - 2021/08/12 (tag: v3.4.2)
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 22 issues and merged 69 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/64?closed=1>`__
+
+The following 20 authors contributed 95 commits.
+
+* Antony Lee
+* David Stansby
+* Diego
+* Diego Leal Petrola
+* Diego Petrola
+* Elliott Sales de Andrade
+* Eric Firing
+* Frank Sauerburger
+* Greg Lucas
+* Ian Hunt-Isaak
+* Jash Shah
+* Jody Klymak
+* Jouni K. Seppänen
+* Michał Górny
+* sandipanpanda
+* Slava Ostroukh
+* Thomas A Caswell
+* Tim Hoffmann
+* Viacheslav Ostroukh
+* Xianxiang Li
+
+GitHub issues and pull requests:
+
+Pull Requests (69):
+
+* :ghpull:`20830`: Backport PR #20826 on branch v3.4.x (Fix clear of Axes that are shared.)
+* :ghpull:`20826`: Fix clear of Axes that are shared.
+* :ghpull:`20823`: Backport PR #20817 on branch v3.4.x (Make test_change_epoch more robust.)
+* :ghpull:`20817`: Make test_change_epoch more robust.
+* :ghpull:`20820`: Backport PR #20771 on branch v3.4.x (FIX: tickspacing for subfigures)
+* :ghpull:`20771`: FIX: tickspacing for subfigures
+* :ghpull:`20777`: FIX: dpi and scatter for subfigures now correct
+* :ghpull:`20787`: Backport PR #20786 on branch v3.4.x (Fixed typo in _constrained_layout.py (#20782))
+* :ghpull:`20786`: Fixed typo in _constrained_layout.py (#20782)
+* :ghpull:`20763`: Backport PR #20761 on branch v3.4.x (Fix suplabel autopos)
+* :ghpull:`20761`: Fix suplabel autopos
+* :ghpull:`20751`: Backport PR #20748 on branch v3.4.x (Ensure _static directory exists before copying CSS.)
+* :ghpull:`20748`: Ensure _static directory exists before copying CSS.
+* :ghpull:`20713`: Backport PR #20710 on branch v3.4.x (Fix tests with Inkscape 1.1.)
+* :ghpull:`20687`: Enable PyPy wheels for v3.4.x
+* :ghpull:`20710`: Fix tests with Inkscape 1.1.
+* :ghpull:`20696`: Backport PR #20662 on branch v3.4.x (Don't forget to disable autoscaling after interactive zoom.)
+* :ghpull:`20662`: Don't forget to disable autoscaling after interactive zoom.
+* :ghpull:`20683`: Backport PR #20645 on branch v3.4.x (Fix leak if affine_transform is passed invalid vertices.)
+* :ghpull:`20645`: Fix leak if affine_transform is passed invalid vertices.
+* :ghpull:`20642`: Backport PR #20629 on branch v3.4.x (Add protection against out-of-bounds read in ttconv)
+* :ghpull:`20643`: Backport PR #20597 on branch v3.4.x
+* :ghpull:`20629`: Add protection against out-of-bounds read in ttconv
+* :ghpull:`20597`: Fix TTF headers for type 42 stix font
+* :ghpull:`20624`: Backport PR #20609 on branch v3.4.x (FIX: fix figbox deprecation)
+* :ghpull:`20609`: FIX: fix figbox deprecation
+* :ghpull:`20594`: Backport PR #20590 on branch v3.4.x (Fix class docstrings for Norms created from Scales.)
+* :ghpull:`20590`: Fix class docstrings for Norms created from Scales.
+* :ghpull:`20587`: Backport PR #20584: FIX: do not simplify path in LineCollection.get_s…
+* :ghpull:`20584`: FIX: do not simplify path in LineCollection.get_segments
+* :ghpull:`20578`: Backport PR #20511 on branch v3.4.x (Fix calls to np.ma.masked_where)
+* :ghpull:`20511`: Fix calls to np.ma.masked_where
+* :ghpull:`20568`: Backport PR #20565 on branch v3.4.x (FIX: PILLOW asarray bug)
+* :ghpull:`20566`: Backout pillow=8.3.0 due to a crash
+* :ghpull:`20565`: FIX: PILLOW asarray bug
+* :ghpull:`20503`: Backport PR #20488 on branch v3.4.x (FIX: Include 0 when checking lognorm vmin)
+* :ghpull:`20488`: FIX: Include 0 when checking lognorm vmin
+* :ghpull:`20483`: Backport PR #20480 on branch v3.4.x (Fix str of empty polygon.)
+* :ghpull:`20480`: Fix str of empty polygon.
+* :ghpull:`20478`: Backport PR #20473 on branch v3.4.x (_GSConverter: handle stray 'GS' in output gracefully)
+* :ghpull:`20473`: _GSConverter: handle stray 'GS' in output gracefully
+* :ghpull:`20456`: Backport PR #20453 on branch v3.4.x (Remove ``Tick.apply_tickdir`` from 3.4 deprecations.)
+* :ghpull:`20441`: Backport PR #20416 on branch v3.4.x (Fix missing Patch3DCollection._z_markers_idx)
+* :ghpull:`20416`: Fix missing Patch3DCollection._z_markers_idx
+* :ghpull:`20417`: Backport PR #20395 on branch v3.4.x (Pathing issue)
+* :ghpull:`20395`: Pathing issue
+* :ghpull:`20404`: Backport PR #20403: FIX: if we have already subclassed mixin class ju…
+* :ghpull:`20403`: FIX: if we have already subclassed mixin class just return
+* :ghpull:`20383`: Backport PR #20381 on branch v3.4.x (Prevent corrections and completions in search field)
+* :ghpull:`20307`: Backport PR #20154 on branch v3.4.x (ci: Bump Ubuntu to 18.04 LTS.)
+* :ghpull:`20285`: Backport PR #20275 on branch v3.4.x (Fix some examples that are skipped in docs build)
+* :ghpull:`20275`: Fix some examples that are skipped in docs build
+* :ghpull:`20267`: Backport PR #20265 on branch v3.4.x (Legend edgecolor face)
+* :ghpull:`20265`: Legend edgecolor face
+* :ghpull:`20260`: Fix legend edgecolor face
+* :ghpull:`20259`: Backport PR #20248 on branch v3.4.x (Replace pgf image-streaming warning by error.)
+* :ghpull:`20248`: Replace pgf image-streaming warning by error.
+* :ghpull:`20241`: Backport PR #20212 on branch v3.4.x (Update span_selector.py)
+* :ghpull:`20212`: Update span_selector.py
+* :ghpull:`19980`: Tidy up deprecation messages in ``_subplots.py``
+* :ghpull:`20234`: Backport PR #20225 on branch v3.4.x (FIX: correctly handle ax.legend(..., legendcolor='none'))
+* :ghpull:`20225`: FIX: correctly handle ax.legend(..., legendcolor='none')
+* :ghpull:`20232`: Backport PR #19636 on branch v3.4.x (Correctly check inaxes for multicursor)
+* :ghpull:`20228`: Backport PR #19849 on branch v3.4.x (FIX DateFormatter for month names when usetex=True)
+* :ghpull:`19849`: FIX DateFormatter for month names when usetex=True
+* :ghpull:`20154`: ci: Bump Ubuntu to 18.04 LTS.
+* :ghpull:`20186`: Backport PR #19975 on branch v3.4.x (CI: remove workflow to push commits to macpython/matplotlib-wheels)
+* :ghpull:`19975`: CI: remove workflow to push commits to macpython/matplotlib-wheels
+* :ghpull:`19636`: Correctly check inaxes for multicursor
+
+Issues (22):
+
+* :ghissue:`20219`: Regression: undocumented change of behaviour in mpl 3.4.2 with axis ticks direction
+* :ghissue:`20721`: ax.clear() adds extra ticks, un-hides shared-axis tick labels
+* :ghissue:`20765`: savefig re-scales xticks and labels of some (but not all) subplots
+* :ghissue:`20782`: [Bug]: _supylabel get_in_layout() typo?
+* :ghissue:`20747`: [Bug]: _copy_css_file assumes that the _static directory already exists
+* :ghissue:`20617`: tests fail with new inkscape
+* :ghissue:`20519`: Toolbar zoom doesn't change autoscale status for versions 3.2.0 and above
+* :ghissue:`20628`: Out-of-bounds read leads to crash or broken TrueType fonts
+* :ghissue:`20612`: Broken EPS for Type 42 STIX
+* :ghissue:`19982`: regression for 3.4.x - ax.figbox replacement incompatible to all version including 3.3.4
+* :ghissue:`19938`: unuseful deprecation warning figbox
+* :ghissue:`16400`: Inconsistent behavior between Normalizers when input is Dataframe
+* :ghissue:`20583`: Lost class descriptions since 3.4 docs
+* :ghissue:`20551`: set_segments(get_segments()) makes lines coarse
+* :ghissue:`20560`: test_png is failing
+* :ghissue:`20487`: test_huge_range_log is failing...
+* :ghissue:`20472`: test_backend_pgf.py::test_xelatex[pdf] - ValueError: invalid literal for int() with base 10: b'ate missing from Resources. [...]
+* :ghissue:`20328`: Path.intersects_path sometimes returns incorrect values
+* :ghissue:`20258`: Using edgecolors='face' with stackplot causes value error when using plt.legend()
+* :ghissue:`20200`: examples/widgets/span_selector.py is brittle
+* :ghissue:`20231`: MultiCursor bug
+* :ghissue:`19836`: Month names not set as text when using usetex
diff --git a/doc/users/prev_whats_new/github_stats_3.5.0.rst b/doc/users/prev_whats_new/github_stats_3.5.0.rst
new file mode 100644
index 000000000000..bde4d917b38b
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.5.0.rst
@@ -0,0 +1,1292 @@
+.. _github-stats-3-5-0:
+
+GitHub statistics for 3.5.0 (Nov 15, 2021)
+==========================================
+
+GitHub statistics for 2021/03/26 (tag: v3.4.0) - 2021/11/15
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 187 issues and merged 939 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/59?closed=1>`__
+
+The following 144 authors contributed 3406 commits.
+
+* Aaron Rogers
+* Abhinav Sagar
+* Adrian Price-Whelan
+* Adrien F. Vincent
+* ain-soph
+* Aitik Gupta
+* Akiomi Kamakura
+* AkM-2018
+* Andrea PIERRÉ
+* andthum
+* Antony Lee
+* Antti Soininen
+* apodemus
+* astromancer
+* Bruno Beltran
+* Carlos Cerqueira
+* Casper da Costa-Luis
+* ceelo777
+* Christian Baumann
+* dan
+* Dan Zimmerman
+* David Matos
+* David Poznik
+* David Stansby
+* dependabot[bot]
+* Diego Leal Petrola
+* Dmitriy Fishman
+* Ellert van der Velden
+* Elliott Sales de Andrade
+* Engjell Avdiu
+* Eric Firing
+* Eric Larson
+* Eric Prestat
+* Ewan Sutherland
+* Felix Nößler
+* Fernando
+* fourpoints
+* Frank Sauerburger
+* Gleb Fedorov
+* Greg Lucas
+* hannah
+* Hannes Breytenbach
+* Hans Meine
+* Harshal Prakash Patankar
+* harupy
+* Harutaka Kawamura
+* Hildo Guillardi Júnior
+* Holtz Yan
+* Hood
+* Ian Hunt-Isaak
+* Ian Thomas
+* ianhi
+* Illviljan
+* ImportanceOfBeingErnest
+* Isha Mehta
+* iury simoes-sousa
+* Jake Bowhay
+* Jakub Klus
+* Jan-Hendrik Müller
+* Janakarajan Natarajan
+* Jann Paul Mattern
+* Jash Shah
+* Jay Joshi
+* jayjoshi112711
+* jeffreypaul15
+* Jerome F. Villegas
+* Jerome Villegas
+* Jesus Briales
+* Jody Klymak
+* Jonathan Yong
+* Joschua Conrad
+* Joschua-Conrad
+* Jouni K. Seppänen
+* K-Monty
+* katrielester
+* kdpenner
+* Kent
+* Kent Gauen
+* kentcr
+* kir0ul
+* kislovskiy
+* KIU Shueng Chuan
+* KM Goh
+* Konstantin Popov
+* kyrogon
+* Leeh Peter
+* Leo Singer
+* lgfunderburk
+* Liam Toney
+* luz paz
+* luzpaz
+* Madhav Humagain
+* MalikIdreesHasa
+* Marat Kopytjuk
+* Marco Rigobello
+* Marco Salathe
+* Markus Wesslén
+* martinRenou
+* Matthias Bussonnier
+* MeeseeksMachine
+* Michał Górny
+* Mihai Anton
+* Navid C. Constantinou
+* Nico Schlömer
+* Phil Nagel
+* Philip Schiff
+* Philipp Nagel
+* pwohlhart
+* Péter Leéh
+* Quentin Peter
+* Ren Pang
+* rgbmrc
+* Richard Barnes
+* richardsheridan
+* Rike-Benjamin Schuppner
+* Roberto Toro
+* Ruth Comer
+* ryahern
+* Ryan May
+* Sam Van Kooten
+* sandipanpanda
+* Simon Hoxbro
+* Slava Ostroukh
+* Stefan Appelhoff
+* Stefanie Molin
+* takimata
+* tdpetrou
+* theOehrly
+* Thomas A Caswell
+* Tim Hoffmann
+* tohc1
+* Tom Charrett
+* Tom Neep
+* Tomas Hrnciar
+* Tortar
+* Tranquilled
+* Vagrant Cascadian
+* Viacheslav Ostroukh
+* Vishnu V K
+* Xianxiang Li
+* Yannic Schroeder
+* Yo Yehudi
+* Zexi
+* znstrider
+
+GitHub issues and pull requests:
+
+Pull Requests (939):
+
+* :ghpull:`21645`: Backport PR #21628 on branch v3.5.x (Fix METH_VARARGS method signatures )
+* :ghpull:`21644`: Backport PR #21640 on branch v3.5.x (DOC: remove sample_plots from tutorials)
+* :ghpull:`21628`: Fix METH_VARARGS method signatures
+* :ghpull:`21640`: DOC: remove sample_plots from tutorials
+* :ghpull:`21636`: Backport PR #21604 on branch v3.5.x (Fix centre square rectangle selector part 1)
+* :ghpull:`21604`: Fix centre square rectangle selector part 1
+* :ghpull:`21633`: Backport PR #21501 on branch v3.5.x (Refix for pyparsing compat.)
+* :ghpull:`21606`: BLD: limit support of pyparsing to <3
+* :ghpull:`21501`: Refix for pyparsing compat.
+* :ghpull:`21624`: Backport PR #21621 on branch v3.5.x (Fix GhostScript error handling types)
+* :ghpull:`21625`: Backport PR #21568 on branch v3.5.x (Enhancing support for tex and datetimes)
+* :ghpull:`21568`: Enhancing support for tex and datetimes
+* :ghpull:`21621`: Fix GhostScript error handling types
+* :ghpull:`21623`: Backport PR #21619 on branch v3.5.x (Revert "Pin sphinx to fix sphinx-gallery")
+* :ghpull:`21619`: Revert "Pin sphinx to fix sphinx-gallery"
+* :ghpull:`21618`: Backport PR #21617 on branch v3.5.x (FIX: Make sure we do not over-write eps short cuts)
+* :ghpull:`21622`: Backport PR #21350 on branch v3.5.x (Remove plot_gallery setting from conf.py)
+* :ghpull:`21617`: FIX: Make sure we do not over-write eps short cuts
+* :ghpull:`21616`: Backport PR #21613 on branch v3.5.x (SEC/DOC update supported versions)
+* :ghpull:`21615`: Backport PR #21607 on branch v3.5.x (DOC: link to cheatsheets site, not github repo)
+* :ghpull:`21614`: Backport PR #21609 on branch v3.5.x (Fix documentation link with renaming ``voxels`` to ``voxelarray``)
+* :ghpull:`21613`: SEC/DOC update supported versions
+* :ghpull:`21607`: DOC: link to cheatsheets site, not github repo
+* :ghpull:`21609`: Fix documentation link with renaming ``voxels`` to ``voxelarray``
+* :ghpull:`21605`: Backport PR #21317 on branch v3.5.x (Move label hiding rectilinear-only check into _label_outer_{x,y}axis.)
+* :ghpull:`21317`: Move label hiding rectilinear-only check into _label_outer_{x,y}axis.
+* :ghpull:`21602`: Backport PR #21586 on branch v3.5.x (Defer enforcement of hatch validation)
+* :ghpull:`21601`: Backport PR #21530 on branch v3.5.x (Fix interrupting GTK on plain Python)
+* :ghpull:`21603`: Backport PR #21596 on branch v3.5.x (Pin sphinx to fix sphinx-gallery)
+* :ghpull:`21586`: Defer enforcement of hatch validation
+* :ghpull:`21530`: Fix interrupting GTK on plain Python
+* :ghpull:`21397`: Support for pre 2.7.1 freetype savannah versions
+* :ghpull:`21599`: Backport PR #21592 on branch v3.5.x ([BUG in 3.5.0rc1] - Anatomy of a Figure has the legend in the wrong spot)
+* :ghpull:`21587`: Backport PR #21581 on branch v3.5.x (Fix RangeSlider.reset)
+* :ghpull:`21592`: [BUG in 3.5.0rc1] - Anatomy of a Figure has the legend in the wrong spot
+* :ghpull:`21596`: Pin sphinx to fix sphinx-gallery
+* :ghpull:`21577`: Backport PR #21527 on branch v3.5.x (Add more 3.5 release notes)
+* :ghpull:`21527`: Add more 3.5 release notes
+* :ghpull:`21573`: Backport PR #21570 on branch v3.5.x (Raise correct exception out of Spines.__getattr__)
+* :ghpull:`21563`: Backport PR #21559 on branch v3.5.x (Fix eventplot units)
+* :ghpull:`21560`: Backport PR #21553 on branch v3.5.x (Fix check for manager presence in blocking_input.)
+* :ghpull:`21561`: Backport PR #21555 on branch v3.5.x (MNT: reject more possibly unsafe strings in validate_cycler)
+* :ghpull:`21555`: MNT: reject more possibly unsafe strings in validate_cycler
+* :ghpull:`21553`: Fix check for manager presence in blocking_input.
+* :ghpull:`21559`: Fix eventplot units
+* :ghpull:`21543`: Backport PR #21443 on branch v3.5.x (FIX: re-instate ability to have position in axes)
+* :ghpull:`21550`: Ignore transOffset if no offsets passed to Collection
+* :ghpull:`21443`: FIX: re-instate ability to have position in axes
+* :ghpull:`21531`: Backport PR #21491 on branch v3.5.x (Relocate inheritance diagram to the top of the document)
+* :ghpull:`21491`: Relocate inheritance diagram to the top of the document
+* :ghpull:`21504`: Backport PR #21481 on branch v3.5.x (FIX: spanning subfigures)
+* :ghpull:`21481`: FIX: spanning subfigures
+* :ghpull:`21483`: Backport PR #21387 on branch v3.5.x (Fix path simplification of closed loops)
+* :ghpull:`21486`: Backport PR #21478 on branch v3.5.x (Fix GTK4 embedding example)
+* :ghpull:`21497`: Backport PR #21484 on branch v3.5.x (Replacement for imread should return an array)
+* :ghpull:`21484`: Replacement for imread should return an array
+* :ghpull:`21495`: Backport PR #21492 on branch v3.5.x (added parameter documentation for MultiCursor)
+* :ghpull:`21493`: Backport PR #21488 on branch v3.5.x (Added to contour docs)
+* :ghpull:`21492`: added parameter documentation for MultiCursor
+* :ghpull:`21488`: Added to contour docs
+* :ghpull:`21478`: Fix GTK4 embedding example
+* :ghpull:`21387`: Fix path simplification of closed loops
+* :ghpull:`21479`: Backport PR #21472 on branch v3.5.x (Clarify set_parse_math documentation.)
+* :ghpull:`21472`: Clarify set_parse_math documentation.
+* :ghpull:`21471`: Backport PR #21470 on branch v3.5.x (Hide fully transparent latex text in PS output)
+* :ghpull:`21470`: Hide fully transparent latex text in PS output
+* :ghpull:`21469`: Backport PR #21468 on branch v3.5.x (Fix some typos in examples)
+* :ghpull:`21468`: Fix some typos in examples
+* :ghpull:`21461`: Backport #21429 from jklymak/doc-use-mpl-sphinx
+* :ghpull:`21464`: Backport PR #21460 on branch v3.5.x (Clip slider init marker to slider track.)
+* :ghpull:`21460`: Clip slider init marker to slider track.
+* :ghpull:`21458`: Backport:  #21429 from jklymak/doc-use-mpl-sphinx
+* :ghpull:`21454`: Fix error with pyparsing 3 for 3.5.x
+* :ghpull:`21459`: Backport PR #21423 on branch v3.5.x (Change CircleCI job title to "Rendered docs")
+* :ghpull:`21423`: Change CircleCI job title to "Rendered docs"
+* :ghpull:`21457`: Backport PR #21455 on branch v3.5.x (Hide note linking to the download section at the bottom of galleries)
+* :ghpull:`21456`: Backport PR #21453 on branch v3.5.x (Cleanup index.rst sectioning)
+* :ghpull:`21455`: Hide note linking to the download section at the bottom of galleries
+* :ghpull:`21453`: Cleanup index.rst sectioning
+* :ghpull:`21224`: DOC: Nav-bar: Add icon linking to contents
+* :ghpull:`21451`: Backport PR #21445 on branch v3.5.x (Mnt pin pyparsing)
+* :ghpull:`21429`: DOC: use mpl-sphinx-theme for navbar, social, logo
+* :ghpull:`21450`: Backport PR #21449 on branch v3.5.x (Less verbose install info on index page)
+* :ghpull:`21449`: Less verbose install info on index page
+* :ghpull:`21446`: Also exclude pyparsing 3.0.0 in setup.py.
+* :ghpull:`21445`: Mnt pin pyparsing
+* :ghpull:`21439`: Backport PR #21420 on branch v3.5.x (Enable Python 3.10 wheel building on all systems)
+* :ghpull:`21438`: Backport PR #21427 on branch v3.5.x (Update docstrings of get_{view,data}_interval.)
+* :ghpull:`21437`: Backport PR #21435 on branch v3.5.x (DOC: Fix selection of parameter names in HTML theme)
+* :ghpull:`21420`: Enable Python 3.10 wheel building on all systems
+* :ghpull:`21427`: Update docstrings of get_{view,data}_interval.
+* :ghpull:`21435`: DOC: Fix selection of parameter names in HTML theme
+* :ghpull:`21428`: Backport PR #21422 on branch v3.5.x (More doc reorganization)
+* :ghpull:`21422`: More doc reorganization
+* :ghpull:`21421`: Backport PR #21411 on branch v3.5.x (Document webagg in docs.)
+* :ghpull:`21419`: Backport PR #21251 on branch v3.5.x (DOC: more site re-org)
+* :ghpull:`21411`: Document webagg in docs.
+* :ghpull:`21251`: DOC: more site re-org
+* :ghpull:`21416`: Backport PR #21326 on branch v3.5.x (Add ability to scale BBox with just x or y values)
+* :ghpull:`21418`: Backport PR #21414 on branch v3.5.x (Support pathological tmpdirs in TexManager.)
+* :ghpull:`21410`: Backport PR #20591 on branch v3.5.x (Webagg backend: get rid of tornado)
+* :ghpull:`21414`: Support pathological tmpdirs in TexManager.
+* :ghpull:`21326`: Add ability to scale BBox with just x or y values
+* :ghpull:`20591`: Webagg backend: get rid of tornado
+* :ghpull:`21406`: Backport PR #21212 on branch v3.5.x (Fix set_size_inches on HiDPI and also GTK4)
+* :ghpull:`21405`: Backport PR #21365 on branch v3.5.x (Convert macosx backend to use device_pixel_ratio)
+* :ghpull:`18274`: Improve initial macosx device scale
+* :ghpull:`21212`: Fix set_size_inches on HiDPI and also GTK4
+* :ghpull:`21365`: Convert macosx backend to use device_pixel_ratio
+* :ghpull:`21372`: Backport PR #20708 on branch v3.5.x (Describe possible need for loading the 'lmodern' package when using PGF files)
+* :ghpull:`20708`: Describe possible need for loading the 'lmodern' package when using PGF files
+* :ghpull:`21359`: Add GHA testing whether files were added and deleted in the same PR.
+* :ghpull:`21360`: Backport PR #21335 on branch v3.5.x (DOC: move usage tutorial info to Users guide rst)
+* :ghpull:`21363`: Backport PR #21287 on branch v3.5.x (Inherit more docstrings.)
+* :ghpull:`21361`: Fix flake8 from #21335
+* :ghpull:`21287`: Inherit more docstrings.
+* :ghpull:`21335`: DOC: move usage tutorial info to Users guide rst
+* :ghpull:`21358`: Backport PR #21357 on branch v3.5.x (DOC: remove test from README.rst)
+* :ghpull:`21357`: DOC: remove test from README.rst
+* :ghpull:`21350`: Remove plot_gallery setting from conf.py
+* :ghpull:`21340`: Backport PR #21332 on branch v3.5.x (Fix default value for ``shading`` in``pyplot.pcolormesh`` docstring)
+* :ghpull:`21332`: Fix default value for ``shading`` in``pyplot.pcolormesh`` docstring
+* :ghpull:`21334`: Backport PR #21330 on branch v3.5.x (Fix medical image caption in tutorial)
+* :ghpull:`21329`: Backport PR #21321 on branch v3.5.x (DOC Update description of ax.contour method, resolves #21310)
+* :ghpull:`21330`: Fix medical image caption in tutorial
+* :ghpull:`21321`: DOC Update description of ax.contour method, resolves #21310
+* :ghpull:`21327`: Backport PR #21313 on branch v3.5.x (DOC: Minimal getting started page)
+* :ghpull:`21313`: DOC: Minimal getting started page
+* :ghpull:`21316`: Backport PR #21312 on branch v3.5.x (Update link to Agg website)
+* :ghpull:`21312`: Update link to Agg website
+* :ghpull:`21308`: Backport PR #21307 on branch v3.5.x (Use in-tree builds for PyPy wheels)
+* :ghpull:`21307`: Use in-tree builds for PyPy wheels
+* :ghpull:`21306`: Backport PR #21303 on branch v3.5.x (Pin macOS to 10.15 for wheels)
+* :ghpull:`21305`: Backport PR #21286 on branch v3.5.x (Clarify FigureBase.tight_bbox as different from all other artists.)
+* :ghpull:`21286`: Clarify FigureBase.tight_bbox as different from all other artists.
+* :ghpull:`21302`: Backport PR #21291 on branch v3.5.x (DOC: Bump to the sphinx-gallery release)
+* :ghpull:`21304`: Backport PR #21294 on branch v3.5.x (Disable blitting on GTK4 backends)
+* :ghpull:`21294`: Disable blitting on GTK4 backends
+* :ghpull:`21277`: Backport PR #21263 on branch v3.5.x (Ensure internal FreeType matches Python compile)
+* :ghpull:`21291`: DOC: Bump to the sphinx-gallery release
+* :ghpull:`21296`: Backport PR #21288 on branch v3.5.x (Allow macosx thread safety test on macOS11)
+* :ghpull:`21297`: Backport PR #21293 on branch v3.5.x (Fix snap argument to pcolormesh)
+* :ghpull:`21293`: Fix snap argument to pcolormesh
+* :ghpull:`21288`: Allow macosx thread safety test on macOS11
+* :ghpull:`21279`: Fix freetype wheel building
+* :ghpull:`21292`: Backport PR #21290 on branch v3.5.x (DOC: Fix some lists in animation examples)
+* :ghpull:`21290`: DOC: Fix some lists in animation examples
+* :ghpull:`21284`: Backport PR #21282 on branch v3.5.x (Fix incorrect markup in example.)
+* :ghpull:`21282`: Fix incorrect markup in example.
+* :ghpull:`21281`: Backport PR #21275 on branch v3.5.x (Fix format_cursor_data for values close to float resolution.)
+* :ghpull:`21275`: Fix format_cursor_data for values close to float resolution.
+* :ghpull:`21263`: Ensure internal FreeType matches Python compile
+* :ghpull:`21273`: Backport PR #21269 on branch v3.5.x (Don't use pixelDelta() on X11.)
+* :ghpull:`21269`: Don't use pixelDelta() on X11.
+* :ghpull:`21268`: Backport PR #21236: DOC: Update interactive colormap example
+* :ghpull:`21265`: Backport PR #21264 on branch v3.5.x (DOC: Fix footnote that breaks PDF builds)
+* :ghpull:`21264`: DOC: Fix footnote that breaks PDF builds
+* :ghpull:`21236`: DOC: Update interactive colormap example
+* :ghpull:`21262`: Backport PR #21250 on branch v3.5.x (DOC: Remove examples/README)
+* :ghpull:`21260`: DOC: Fix source links to prereleases
+* :ghpull:`21261`: Backport PR #21240: DOC: Fix source links and flake8 cleanup
+* :ghpull:`21248`: Backport PR #21247 on branch v3.5.x (Fix release notes typos.)
+* :ghpull:`21254`: Backport PR #21249 on branch v3.5.x (Fix some syntax highlights in coding and contributing guide.)
+* :ghpull:`21250`: DOC: Remove examples/README
+* :ghpull:`21249`: Fix some syntax highlights in coding and contributing guide.
+* :ghpull:`20652`: Fixed Comments and Clarification
+* :ghpull:`21240`: DOC: Fix source links and flake8 cleanup
+* :ghpull:`21247`: Fix release notes typos.
+* :ghpull:`21244`: Backport PR #20907 on branch v3.5.x (Move sigint tests into subprocesses)
+* :ghpull:`21245`: Backport PR #21226 on branch v3.5.x (DOC: Adapt some colors in examples)
+* :ghpull:`21226`: DOC: Adapt some colors in examples
+* :ghpull:`20907`: Move sigint tests into subprocesses
+* :ghpull:`21241`: Backport PR #21237 on branch v3.5.x (DOC: Add fill_between to plot_types)
+* :ghpull:`21237`: DOC: Add fill_between to plot_types
+* :ghpull:`21235`: Backport PR #20852 on branch v3.5.x (Prepare docs for 3.5)
+* :ghpull:`20852`: Prepare docs for 3.5
+* :ghpull:`21234`: Backport PR #21221 on branch v3.5.x (Updates to plot types)
+* :ghpull:`21232`: Backport PR #21228 on branch v3.5.x (Small doc nits.)
+* :ghpull:`21233`: Backport PR #21229 on branch v3.5.x (Shorten PdfPages FAQ entry.)
+* :ghpull:`21221`: Updates to plot types
+* :ghpull:`21229`: Shorten PdfPages FAQ entry.
+* :ghpull:`21228`: Small doc nits.
+* :ghpull:`21227`: Backport PR #20730 on branch v3.5.x (DOC: Add a release mode tag)
+* :ghpull:`20730`: DOC: Add a release mode tag
+* :ghpull:`21225`: Backport PR #21223 on branch v3.5.x (Fix nav link for "Usage guide" and remove release/date info from that page)
+* :ghpull:`21223`: Fix nav link for "Usage guide" and remove release/date info from that page
+* :ghpull:`21222`: Backport PR #21211 on branch v3.5.x (updated resources)
+* :ghpull:`21211`: updated resources
+* :ghpull:`21219`: Backport PR #21216 on branch v3.5.x (Use correct confidence interval)
+* :ghpull:`21216`: Use correct confidence interval
+* :ghpull:`21217`: Backport PR #21215 on branch v3.5.x (Fix more edge cases in psd, csd.)
+* :ghpull:`21215`: Fix more edge cases in psd, csd.
+* :ghpull:`21210`: Backport PR #21191 on branch v3.5.x (Fix very-edge case in csd(), plus small additional cleanups.)
+* :ghpull:`21209`: Backport PR #21188 on branch v3.5.x (Rework headers for individual backend docs.)
+* :ghpull:`21191`: Fix very-edge case in csd(), plus small additional cleanups.
+* :ghpull:`21188`: Rework headers for individual backend docs.
+* :ghpull:`21208`: Backport PR #21203 on branch v3.5.x (Rework plot types quiver)
+* :ghpull:`21203`: Rework plot types quiver
+* :ghpull:`21207`: Backport PR #21198 on branch v3.5.x (Update coding_guide.rst)
+* :ghpull:`21206`: Backport PR #21201 on branch v3.5.x (Fix signature of barh() in plot types)
+* :ghpull:`21204`: Backport PR #21193 on branch v3.5.x (Update contributing guide.)
+* :ghpull:`21198`: Update coding_guide.rst
+* :ghpull:`21201`: Fix signature of barh() in plot types
+* :ghpull:`21200`: Backport PR #21196 on branch v3.5.x (Update fonts.rst)
+* :ghpull:`21199`: Backport PR #21026 on branch v3.5.x (Place 3D contourf patches between levels)
+* :ghpull:`21197`: Backport PR #21186 on branch v3.5.x (Fixed typos using codespell. (previous pull request was told not to change the agg files) )
+* :ghpull:`21196`: Update fonts.rst
+* :ghpull:`21026`: Place 3D contourf patches between levels
+* :ghpull:`21186`: Fixed typos using codespell. (previous pull request was told not to change the agg files)
+* :ghpull:`21195`: Backport PR #21189 on branch v3.5.x (Small doc fixes.)
+* :ghpull:`21194`: Backport PR #21192 on branch v3.5.x (Discourage making style changes to extern/.)
+* :ghpull:`21189`: Small doc fixes.
+* :ghpull:`21192`: Discourage making style changes to extern/.
+* :ghpull:`21193`: Update contributing guide.
+* :ghpull:`21184`: Backport PR #21172 on branch v3.5.x (skip QImage leak workaround for PySide2 >= 5.12)
+* :ghpull:`21183`: Backport PR #21081 on branch v3.5.x (Improve docs for to_jshtml())
+* :ghpull:`21172`: skip QImage leak workaround for PySide2 >= 5.12
+* :ghpull:`21181`: Backport PR #21166 on branch v3.5.x (Cleanup contour(f)3d examples.)
+* :ghpull:`21182`: Backport PR #21180 on branch v3.5.x (Remove uninformative ``.. figure::`` titles in docs.)
+* :ghpull:`21081`: Improve docs for to_jshtml()
+* :ghpull:`21180`: Remove uninformative ``.. figure::`` titles in docs.
+* :ghpull:`21166`: Cleanup contour(f)3d examples.
+* :ghpull:`21174`: Backport PR #19343 on branch v3.5.x (Enh improve agg chunks error)
+* :ghpull:`19343`: Enh improve agg chunks error
+* :ghpull:`21171`: Backport PR #20951 on branch v3.5.x ([ENH]: data kwarg support for mplot3d #20912)
+* :ghpull:`21169`: Backport PR #21126 on branch v3.5.x (Deprecate passing formatting parameters positionally to stem())
+* :ghpull:`21126`: Deprecate passing formatting parameters positionally to stem()
+* :ghpull:`21164`: Backport PR #21039 on branch v3.5.x (Fix ``hexbin`` marginals and log scaling)
+* :ghpull:`21039`: Fix ``hexbin`` marginals and log scaling
+* :ghpull:`21160`: Backport PR #21136 on branch v3.5.x (More (minor) plot types gallery fixes.)
+* :ghpull:`21136`: More (minor) plot types gallery fixes.
+* :ghpull:`21158`: Backport PR #21140 on branch v3.5.x (Docstring cleanups around DATA_PARAMETER_PLACEHOLDER.)
+* :ghpull:`21159`: Backport PR #21127 on branch v3.5.x (Simplify argument parsing in stem().)
+* :ghpull:`21157`: Backport PR #21153 on branch v3.5.x (Improve curve_error_band example.)
+* :ghpull:`21156`: Backport PR #21154 on branch v3.5.x (Increase marker size in double_pendulum example.)
+* :ghpull:`21127`: Simplify argument parsing in stem().
+* :ghpull:`21140`: Docstring cleanups around DATA_PARAMETER_PLACEHOLDER.
+* :ghpull:`21153`: Improve curve_error_band example.
+* :ghpull:`21154`: Increase marker size in double_pendulum example.
+* :ghpull:`21149`: Backport PR #21146 on branch v3.5.x (Fix clim handling for pcolor{,mesh}.)
+* :ghpull:`21151`: Backport PR #21141 on branch v3.5.x (Fix DATA_PARAMETER_PLACEHOLDER interpolation for quiver&contour{,f}.)
+* :ghpull:`21150`: Backport PR #21145 on branch v3.5.x (Fix format_cursor_data with nans.)
+* :ghpull:`21141`: Fix DATA_PARAMETER_PLACEHOLDER interpolation for quiver&contour{,f}.
+* :ghpull:`21145`: Fix format_cursor_data with nans.
+* :ghpull:`21146`: Fix clim handling for pcolor{,mesh}.
+* :ghpull:`21148`: Backport PR #21142 on branch v3.5.x (Mac qt ctrl)
+* :ghpull:`21142`: Mac qt ctrl
+* :ghpull:`21144`: Backport PR #21122 on branch v3.5.x (CTRL does not fix aspect in zoom-to-rect mode.)
+* :ghpull:`21143`: Backport PR #19515 on branch v3.5.x (Colorbar axis zoom and pan)
+* :ghpull:`21122`: CTRL does not fix aspect in zoom-to-rect mode.
+* :ghpull:`19515`: Colorbar axis zoom and pan
+* :ghpull:`21138`: Backport PR #21131 on branch v3.5.x (Fix polar() regression on second call failure)
+* :ghpull:`21134`: Backport PR #21124 on branch v3.5.x (Tweak streamplot plot_types example.)
+* :ghpull:`21133`: Backport PR #21114 on branch v3.5.x (Add contour and tricontour plots to plot types)
+* :ghpull:`21132`: Backport PR #21093 on branch v3.5.x (DOC: clarify what we mean by object oriented in pyplot api)
+* :ghpull:`21124`: Tweak streamplot plot_types example.
+* :ghpull:`21114`: Add contour and tricontour plots to plot types
+* :ghpull:`21130`: Backport PR #21129 on branch v3.5.x (Fix decenter of image in gallery thumbnails)
+* :ghpull:`21093`: DOC: clarify what we mean by object oriented in pyplot api
+* :ghpull:`21129`: Fix decenter of image in gallery thumbnails
+* :ghpull:`21125`: Backport PR #21086 on branch v3.5.x (Capitalization fixes in example section titles.)
+* :ghpull:`21128`: Backport PR #21123 on branch v3.5.x (Simplify/uniformize sample data setup in plot_types examples.)
+* :ghpull:`21123`: Simplify/uniformize sample data setup in plot_types examples.
+* :ghpull:`21121`: Backport PR #21111 on branch v3.5.x (Rename section title Gallery -> Examples)
+* :ghpull:`21086`: Capitalization fixes in example section titles.
+* :ghpull:`21120`: Backport PR #21115 on branch v3.5.x (Improve errorbar plot types example)
+* :ghpull:`21119`: Backport PR #21116 on branch v3.5.x (Adapt css so that galleries have four columns)
+* :ghpull:`21116`: Adapt css so that galleries have four columns
+* :ghpull:`21118`: Backport PR #21112 on branch v3.5.x (Fix make_norm_from_scale ``__name__`` when used inline.)
+* :ghpull:`21111`: Rename section title Gallery -> Examples
+* :ghpull:`21112`: Fix make_norm_from_scale ``__name__`` when used inline.
+* :ghpull:`20951`: [ENH]: data kwarg support for mplot3d #20912
+* :ghpull:`21115`: Improve errorbar plot types example
+* :ghpull:`21109`: Backport PR #21104 on branch v3.5.x (Remove the index and module index pages)
+* :ghpull:`21104`: Remove the index and module index pages
+* :ghpull:`21102`: Backport PR #21100 on branch v3.5.x (Cleanup demo_tight_layout.)
+* :ghpull:`21106`: Backport PR #21034 on branch v3.5.x (Make rcParams["backend"] backend fallback check rcParams identity first.)
+* :ghpull:`21105`: Backport PR #21083 on branch v3.5.x (Fix capitalizations)
+* :ghpull:`21103`: Backport PR #21089 on branch v3.5.x (Update sticky_edges docstring to new behavior.)
+* :ghpull:`21034`: Make rcParams["backend"] backend fallback check rcParams identity first.
+* :ghpull:`21083`: Fix capitalizations
+* :ghpull:`21099`: Backport PR #20935 on branch v3.5.x (Add ColormapsRegistry as experimental and add it to pyplot)
+* :ghpull:`21100`: Cleanup demo_tight_layout.
+* :ghpull:`21098`: Backport PR #20903 on branch v3.5.x (Use release-branch version scheme )
+* :ghpull:`20935`: Add ColormapsRegistry as experimental and add it to pyplot
+* :ghpull:`20903`: Use release-branch version scheme
+* :ghpull:`21089`: Update sticky_edges docstring to new behavior.
+* :ghpull:`21084`: Backport PR #20988 on branch v3.5.x (Add HiDPI support in GTK.)
+* :ghpull:`21085`: Backport PR #21082 on branch v3.5.x (Fix layout of sidebar entries)
+* :ghpull:`20345`: ENH: call update_ticks before we return them to the user
+* :ghpull:`21082`: Fix layout of sidebar entries
+* :ghpull:`20988`: Add HiDPI support in GTK.
+* :ghpull:`21080`: Backport PR #19619 on branch v3.5.x (Fix bug in shape assignment)
+* :ghpull:`19619`: Fix bug in shape assignment
+* :ghpull:`21079`: Backport PR #21078 on branch v3.5.x (Cache build dependencies on Circle)
+* :ghpull:`21078`: Cache build dependencies on Circle
+* :ghpull:`21077`: Backport PR #21076 on branch v3.5.x (Break links between twinned axes when removing)
+* :ghpull:`21076`: Break links between twinned axes when removing
+* :ghpull:`21073`: Backport PR #21072 on branch v3.5.x (Use sysconfig directly instead of through distutils)
+* :ghpull:`21072`: Use sysconfig directly instead of through distutils
+* :ghpull:`21071`: Backport PR #21061 on branch v3.5.x (Remove most visible dependencies on distutils.)
+* :ghpull:`21061`: Remove most visible dependencies on distutils.
+* :ghpull:`21070`: Backport PR #21025 on branch v3.5.x (Fix Cairo backends on HiDPI screens)
+* :ghpull:`21065`: Backport PR #20819 on branch v3.5.x (Add CPython 3.10 wheels)
+* :ghpull:`21069`: Backport PR #21051 on branch v3.5.x (set_dashes does not support offset=None anymore.)
+* :ghpull:`21068`: Backport PR #21067 on branch v3.5.x (Remove generated file accidentally added in #20867)
+* :ghpull:`21025`: Fix Cairo backends on HiDPI screens
+* :ghpull:`21051`: set_dashes does not support offset=None anymore.
+* :ghpull:`21067`: Remove generated file accidentally added in #20867
+* :ghpull:`21066`: Backport PR #21060 on branch v3.5.x (Correct the default for fillstyle parameter in MarkerStyle())
+* :ghpull:`20819`: Add CPython 3.10 wheels
+* :ghpull:`21064`: Backport PR #20913 on branch v3.5.x ([Doc] colors.to_hex input & output)
+* :ghpull:`20913`: [Doc] colors.to_hex input & output
+* :ghpull:`21063`: Backport PR #21062 on branch v3.5.x (Fix typo in template of current dev-docs)
+* :ghpull:`21062`: Fix typo in template of current dev-docs
+* :ghpull:`21060`: Correct the default for fillstyle parameter in MarkerStyle()
+* :ghpull:`21058`: Backport PR #21053 on branch v3.5.x (Fix validate_markevery docstring markup.)
+* :ghpull:`21053`: Fix validate_markevery docstring markup.
+* :ghpull:`21052`: Backport PR #20867 on branch v3.5.x ("inner" index reorganization)
+* :ghpull:`21047`: Backport PR #21040 on branch v3.5.x (Document ``handleheight`` parameter of ``Legend`` constructor)
+* :ghpull:`21048`: Backport PR #21044 on branch v3.5.x (Support for forward/back mousebuttons on WX backend)
+* :ghpull:`20867`: "inner" index reorganization
+* :ghpull:`21044`: Support for forward/back mousebuttons on WX backend
+* :ghpull:`21040`: Document ``handleheight`` parameter of ``Legend`` constructor
+* :ghpull:`21045`: Backport PR #21041 on branch v3.5.x (Prefer "none" to "None" in docs, examples and comments.)
+* :ghpull:`21041`: Prefer "none" to "None" in docs, examples and comments.
+* :ghpull:`21037`: Backport PR #20949 on branch v3.5.x (Improve formatting of imshow() cursor data independently of colorbar.)
+* :ghpull:`21035`: Backport PR #21031 on branch v3.5.x (Make date.{converter,interval_multiples} rcvalidators side-effect free.)
+* :ghpull:`20949`: Improve formatting of imshow() cursor data independently of colorbar.
+* :ghpull:`21031`: Make date.{converter,interval_multiples} rcvalidators side-effect free.
+* :ghpull:`21032`: Backport PR #21017 on branch v3.5.x (FIX: Don't subslice lines if non-standard transform)
+* :ghpull:`21030`: Backport PR #20980 on branch v3.5.x (FIX: remove colorbar from list of colorbars on axes)
+* :ghpull:`21029`: Backport PR #21028 on branch v3.5.x (Minor homogeneization of markup for MEP titles.)
+* :ghpull:`21028`: Minor homogeneization of markup for MEP titles.
+* :ghpull:`21022`: Backport PR #20518 on branch v3.5.x ( Support sketch_params in pgf backend)
+* :ghpull:`20518`:  Support sketch_params in pgf backend
+* :ghpull:`21018`: Backport PR #20976 on branch v3.5.x (Separate tick and spine examples)
+* :ghpull:`20976`: Separate tick and spine examples
+* :ghpull:`21014`: Backport PR #20994 on branch v3.5.x (Remove unused icon_filename, window_icon globals.)
+* :ghpull:`21013`: Backport PR #21012 on branch v3.5.x (Use numpydoc for GridSpecFromSubplotSpec.__init__)
+* :ghpull:`20994`: Remove unused icon_filename, window_icon globals.
+* :ghpull:`21012`: Use numpydoc for GridSpecFromSubplotSpec.__init__
+* :ghpull:`21011`: Backport PR #21003 on branch v3.5.x (Deemphasize mpl_toolkits in API docs.)
+* :ghpull:`21003`: Deemphasize mpl_toolkits in API docs.
+* :ghpull:`21002`: Backport PR #20987 on branch v3.5.x (FIX: colorbar with boundary norm, proportional, extend)
+* :ghpull:`20987`: FIX: colorbar with boundary norm, proportional, extend
+* :ghpull:`21000`: Backport PR #20997 on branch v3.5.x (Fix ToolManager + TextBox support.)
+* :ghpull:`20997`: Fix ToolManager + TextBox support.
+* :ghpull:`20985`: Backport PR #20942 on branch v3.5.x (DOC Use 'Axes' instead of 'axes' in axes._base.py)
+* :ghpull:`20983`: Backport PR #20973 on branch v3.5.x (Docstring cleanups.)
+* :ghpull:`20982`: Backport PR #20972 on branch v3.5.x (Cleanup some dviread docstrings.)
+* :ghpull:`20942`: DOC Use 'Axes' instead of 'axes' in axes._base.py
+* :ghpull:`20981`: Backport PR #20975 on branch v3.5.x (Clarify support for 2D coordinate inputs to streamplot.)
+* :ghpull:`20972`: Cleanup some dviread docstrings.
+* :ghpull:`20975`: Clarify support for 2D coordinate inputs to streamplot.
+* :ghpull:`20973`: Docstring cleanups.
+* :ghpull:`20971`: Backport PR #20970 on branch v3.5.x (Build wheels for Apple Silicon.)
+* :ghpull:`20970`: Build wheels for Apple Silicon.
+* :ghpull:`20969`: Backport PR #20321 on branch v3.5.x (Add a GTK4 backend.)
+* :ghpull:`20321`: Add a GTK4 backend.
+* :ghpull:`20966`: Backport PR #19553 on branch v3.5.x (ENH: Adding callbacks to Norms for update signals)
+* :ghpull:`20967`: Backport PR #20965 on branch v3.5.x (BUG: Fix f_back is None handling)
+* :ghpull:`20965`: BUG: Fix f_back is None handling
+* :ghpull:`19553`: ENH: Adding callbacks to Norms for update signals
+* :ghpull:`20960`: Backport PR #20745 on branch v3.5.x (Clean up some Event class docs.)
+* :ghpull:`20745`: Clean up some Event class docs.
+* :ghpull:`20959`: Backport PR #20952 on branch v3.5.x (Redirect to new 3rd party packages page)
+* :ghpull:`20952`: Redirect to new 3rd party packages page
+* :ghpull:`20958`: Backport PR #20956 on branch v3.5.x (Make warning for no-handles legend more explicit.)
+* :ghpull:`20956`: Make warning for no-handles legend more explicit.
+* :ghpull:`20954`: Backport PR #20931 on branch v3.5.x (API: rename draw_no_output to draw_without_rendering)
+* :ghpull:`20931`: API: rename draw_no_output to draw_without_rendering
+* :ghpull:`20934`: Backport PR #20919 on branch v3.5.x (Improve various release notes)"
+* :ghpull:`20948`: Backport PR #20944 on branch v3.5.x (Switch documented deprecations in mathtext by ``__getattr__`` deprecations)
+* :ghpull:`20944`: Switch documented deprecations in mathtext by ``__getattr__`` deprecations
+* :ghpull:`20947`: Backport PR #20941 on branch v3.5.x (Fix variable capitalization in plot types headings)
+* :ghpull:`20941`: Fix variable capitalization in plot types headings
+* :ghpull:`20939`: Backport PR #20937 on branch v3.5.x (Fix documented allowed values for Patch.set_edgecolor.)
+* :ghpull:`20940`: Backport PR #20938 on branch v3.5.x (Fix missorted changelog entry.)
+* :ghpull:`20938`: Fix missorted changelog entry.
+* :ghpull:`20937`: Fix documented allowed values for Patch.set_edgecolor.
+* :ghpull:`20933`: Backport PR #20916 on branch v3.5.x (Improve deleted Animation warning)
+* :ghpull:`20916`: Improve deleted Animation warning
+* :ghpull:`20919`: Improve various release notes
+* :ghpull:`20928`: Backport PR #20889 on branch v3.5.x (Fix clearing selector)
+* :ghpull:`20927`: Backport PR #20924 on branch v3.5.x (Improve ``path.py`` docstrings a bit)
+* :ghpull:`20889`: Fix clearing selector
+* :ghpull:`20922`: Backport PR #20920 on branch v3.5.x (Fix cubic curve code in ``Path.__doc__``)
+* :ghpull:`20925`: Backport PR #20917 on branch v3.5.x (Move installing FAQ to installing page.)
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+* :ghpull:`20917`: Move installing FAQ to installing page.
+* :ghpull:`20920`: Fix cubic curve code in ``Path.__doc__``
+* :ghpull:`20918`: Backport PR #20915 on branch v3.5.x ([Doc] boxplot typo)
+* :ghpull:`20915`: [Doc] boxplot typo
+* :ghpull:`20908`: [Doc] FigureCanvasBase draw
+* :ghpull:`20899`: Backport PR #20885 on branch v3.5.x (Fix broken QApplication init in a test.)
+* :ghpull:`20885`: Fix broken QApplication init in a test.
+* :ghpull:`20894`: Backport PR #20891 on branch v3.5.x (Add dependency link for 3.5)
+* :ghpull:`20893`: Backport PR #20892 on branch v3.5.x (Label pylab as "discouraged" instead of "disapproved")
+* :ghpull:`20891`: Add dependency link for 3.5
+* :ghpull:`20888`: Backport PR #20864 on branch v3.5.x (Add Python 3.10 testing.)
+* :ghpull:`20890`: Backport PR #20693 on branch v3.5.x (Fix setting artists properties of selectors)
+* :ghpull:`20892`: Label pylab as "discouraged" instead of "disapproved"
+* :ghpull:`20693`: Fix setting artists properties of selectors
+* :ghpull:`20864`: Add Python 3.10 testing.
+* :ghpull:`20886`: Backport PR #20884 on branch v3.5.x (Ensure full environment is passed to headless test.)
+* :ghpull:`20884`: Ensure full environment is passed to headless test.
+* :ghpull:`20883`: Make pywin32 optional in Ctrl+C Qt test.
+* :ghpull:`20874`: Add additional external resource.
+* :ghpull:`20875`: Use mpl.colormaps in examples
+* :ghpull:`20586`: Deprecate matplotlib.test()
+* :ghpull:`19892`: Add Figure parameter layout and discourage tight_layout / constrained_layout
+* :ghpull:`20882`: Don't add QtNetwork to the API exported by qt_compat.
+* :ghpull:`20881`: Deprecate some old globals in qt_compat.
+* :ghpull:`13306`: Qt5: SIGINT kills just the mpl window and not the process itself
+* :ghpull:`20876`: DOC: Fix dependency link.
+* :ghpull:`20878`: Use tables for Locator and Formatter docs
+* :ghpull:`20873`: Remove mplutils.cpp; shorten mplutils.h.
+* :ghpull:`20872`: Remove some boilerplate from C extension inits.
+* :ghpull:`20871`: Move setup.cfg to mplsetup.cfg.
+* :ghpull:`20869`: Ignore errors trying to delete make_release_tree.
+* :ghpull:`20868`: Fix qt key mods
+* :ghpull:`20856`: TST: Add unit test to catch recurrences of #20822, #20855
+* :ghpull:`20857`: Propose a less error-prone helper for module-level getattrs.
+* :ghpull:`20840`: Speed up Tkagg blit with Tk_PhotoPutBlock
+* :ghpull:`20805`: Ensure all params are restored after ``reset_ticks``.
+* :ghpull:`20863`: new github citation format
+* :ghpull:`20859`: Allow SubFigure legends
+* :ghpull:`20848`: Fix PyPy wheels and tests
+* :ghpull:`20862`: Fix minor typo in setupext.py
+* :ghpull:`20814`: FIX: Avoid copying source script when ``plot_html_show_source_link`` is False in plot directive
+* :ghpull:`20855`: BUG: __getattr__ must raise AttributeError if name not found (again)
+* :ghpull:`20079`: Prepare axes_divider for simpler(?) indexing-based API.
+* :ghpull:`20444`: Delete _Bracket and update the _Curve to be able to ']->' and '<-['
+* :ghpull:`20812`: Clarify tutorial "Customizing Matplotlib with style sheets and rcParams"
+* :ghpull:`20806`: Deprecate matplotlib.cm.LUTSIZE
+* :ghpull:`20818`: Swap Cap/Cup glyphs when using STIX font.
+* :ghpull:`20849`: Add external resources to devdoc landing page
+* :ghpull:`20846`: Re-re-remove deprecated Qt globals.
+* :ghpull:`18503`: Add a dedicated ColormapRegistry class
+* :ghpull:`20603`: Deprecate unused LassoSelector event handlers.
+* :ghpull:`20679`: Fix selector onselect call when the selector is removed by an "empty" click and add ``ignore_event_outside`` argument
+* :ghpull:`11358`: FIX/ENH: Introduce a monolithic legend handler for Line2D
+* :ghpull:`20699`: FIX/ENH: Introduce a monolithic legend handler for Line2D
+* :ghpull:`20837`: Merge branch v3.4.x
+* :ghpull:`18782`: ENH: allow image to interpolate post RGBA
+* :ghpull:`20829`: TST: neither warned and pytest upstream deprecated this usage
+* :ghpull:`20828`: Increase test timeouts to 60 s to aid slower architectures
+* :ghpull:`20816`: ENH: Add the ability to block callback signals
+* :ghpull:`20646`: Handle NaN values in ``plot_surface`` zsort
+* :ghpull:`20725`: ``Axes3D.plot_surface``: Allow masked arrays and ``NaN`` values
+* :ghpull:`20825`: Fix image triage tool with Qt6
+* :ghpull:`20229`: ENH: Only do constrained layout at draw...
+* :ghpull:`20822`: BUG: __getattr__ must raise AttributeError if name not found
+* :ghpull:`20815`: circle: Switch to next-gen image.
+* :ghpull:`20813`: add doc-link to dufte
+* :ghpull:`20799`: MNT: Rename callbacksSM to callbacks
+* :ghpull:`20803`: Re-remove deprecated Qt globals.
+* :ghpull:`17810`: FIX: don't fail on first show if animation already exhausted
+* :ghpull:`20733`: Deprecate globals using module-level ``__getattr__``.
+* :ghpull:`20788`: FIX: Check for colorbar creation with multi-dimensional alpha
+* :ghpull:`20115`: ENH: pass extra kwargs in FigureBase, SubFigure, Figure to set
+* :ghpull:`20795`: TST/MNT: deprecate unused fixture
+* :ghpull:`20792`: Change legend guide to object oriented approach
+* :ghpull:`20717`: Fix collection offsets
+* :ghpull:`20673`: Point [SOURCE] documents to github
+* :ghpull:`19255`: Support for PyQt6/PySide6.
+* :ghpull:`20772`: Implement remove_rubberband rather than release_zoom.
+* :ghpull:`20783`: Document how to check for the existence of current figure/axes.
+* :ghpull:`20778`: Dedupe handling of mouse buttons in macos backend.
+* :ghpull:`20749`: Cleanup font subsetting code
+* :ghpull:`20775`: Remove some remnants of qt4 support.
+* :ghpull:`20659`: Add HiDPI-related config for mathmpl
+* :ghpull:`20767`: Factor out latex ifpackageloaded pattern.
+* :ghpull:`20769`: Simplify backend_ps._nums_to_str.
+* :ghpull:`20768`: Avoid using gca() in examples.
+* :ghpull:`20766`: Fix line dash offset format in PS output
+* :ghpull:`20706`: Include ``underscore.sty``
+* :ghpull:`20729`: Support vmin/vmax with bins='log' in hexbin
+* :ghpull:`20753`: Deprecate support for case-insensitive scales.
+* :ghpull:`20602`: Merge EllipseSelector example together with RectangleSelector.
+* :ghpull:`20744`: Add an example showing alternate mouse cursors.
+* :ghpull:`20758`: FIX: pass colorbar.set_ticklabels down to long_axis
+* :ghpull:`20759`: Modernize mathtext examples
+* :ghpull:`20739`: Small simplifications to streamplot.
+* :ghpull:`20756`: Add new external resource: Python Graph Gallery
+* :ghpull:`20330`: Fix cla colorbar
+* :ghpull:`20688`: issue form files
+* :ghpull:`20743`: Set the canvas cursor when using a SpanSelector
+* :ghpull:`20391`: Type42 subsetting in PS/PDF
+* :ghpull:`20737`: DOC: new index page
+* :ghpull:`20686`: Fix interaction between make_keyword_only and pyplot generation.
+* :ghpull:`20731`: Improved implementation of Path.copy and deepcopy
+* :ghpull:`20732`: Fix style in ``assert(x)``.
+* :ghpull:`20620`: Move set_cursor from the toolbar to FigureCanvas.
+* :ghpull:`20728`: Fix broken link in 'Contributing' docs
+* :ghpull:`20727`: DOC/TST make circle faster
+* :ghpull:`20726`: DOC: Provide alternative to cbar.patch
+* :ghpull:`20719`: Fix color normalization in plot types scatter
+* :ghpull:`20634`: Implement Type-1 decryption
+* :ghpull:`20633`: Emit non BMP chars as XObjects in PDF
+* :ghpull:`20709`: Fix Circle merge on master branch.
+* :ghpull:`20701`: Small cleanup to GTK backend
+* :ghpull:`20670`: Support markevery on figure-level lines.
+* :ghpull:`20707`: Rename a confusingly named variable in backend_pdf.
+* :ghpull:`20680`: CI: Build merged version on CircleCI
+* :ghpull:`20471`: add interactive colorbar example to gallery
+* :ghpull:`20692`: Small cleanups to hatch.py.
+* :ghpull:`20702`: DOC: add note about contouring algorithm
+* :ghpull:`18869`: Add __version_info__ as a tuple-based version identifier
+* :ghpull:`20689`: Fix some very unlikely leaks in extensions.
+* :ghpull:`20254`: Define FloatingAxes boundary patch in data coordinates.
+* :ghpull:`20682`: Bump codecov/codecov-action from 1 to 2
+* :ghpull:`20544`: Support of different locations for the text fixing cursor of TextBox
+* :ghpull:`20648`: Simplify barchart_demo
+* :ghpull:`20606`: Dynamically generate CbarAxes.
+* :ghpull:`20405`: ENH: expose make_norm_from_scale
+* :ghpull:`20555`: Fix the way to get xs length in set_3d_properties()
+* :ghpull:`20546`: Improve tutorial figures in the new theme
+* :ghpull:`20676`: Fix bounds when initialising ``SpanSelector``
+* :ghpull:`20678`: Clarify comment about backend_pgf.writeln.
+* :ghpull:`20675`: Shorten the ``@deprecated`` docs.
+* :ghpull:`20585`: Rename parameter selectors
+* :ghpull:`20672`: Remove outdated parts of MatplotlibDeprecationWarning docs.
+* :ghpull:`20671`: Standardize description of kwargs in legend_handler.
+* :ghpull:`20669`: Cleanup related to usage of axs
+* :ghpull:`20664`: Reword docs about fallbacks on headless linux.
+* :ghpull:`20663`: Document $MPLSETUPCFG.
+* :ghpull:`20638`: Small simplifications to FixedAxisArtistHelper.
+* :ghpull:`20626`: Simplify curvilinear grid examples.
+* :ghpull:`20088`: fix some http: -> https: URLs
+* :ghpull:`20654`: Remove some usages of plt.setp()
+* :ghpull:`20615`: Font 42 kerning
+* :ghpull:`20636`: Use set_xticks(ticks, labels) instead of a separate set_xticklabels()
+* :ghpull:`20450`: [Doc] Font Types and Font Subsetting
+* :ghpull:`20582`: Fix twoslopenorm colorbar
+* :ghpull:`20632`: Use ticklabels([]) instead of ticklabels('')
+* :ghpull:`20608`: doc/conf.py: if set, use SOURCE_DATE_EPOCH to set copyright year.
+* :ghpull:`20605`: Add \dddot and \ddddot as accents in mathtext
+* :ghpull:`20621`: TST/DOC: just run circle once...
+* :ghpull:`20498`: Adapt the release guide to the new release notes structure
+* :ghpull:`20601`: Hide some ``_SelectorWidget`` state internals.
+* :ghpull:`20600`: Inline _print_svg into its only call site (print_svg).
+* :ghpull:`20589`: Add directional sizing cursors
+* :ghpull:`20481`: Deprecate Colorbar.patch.
+* :ghpull:`20598`: Don't forget to propagate kwargs from print_svgz to print_svg.
+* :ghpull:`19495`: Move svg basename detection down to RendererSVG.
+* :ghpull:`20501`: Colorbar redo again!
+* :ghpull:`20407`: Turn shared_axes, stale_viewlims into {axis_name: value} dicts.
+* :ghpull:`18966`: PR: Remove modality of figure options
+* :ghpull:`19265`: Change styling of slider widgets
+* :ghpull:`20593`: DOC: fix various typos
+* :ghpull:`20374`: Check modification times of included RST files
+* :ghpull:`20569`: Better signature and docstring for Artist.set
+* :ghpull:`20574`: Add tricontourf hatching example
+* :ghpull:`18666`: Remove unused/deprecated ``AVConv`` classes
+* :ghpull:`20514`: Fix example for rcParams['autolimit_mode']
+* :ghpull:`20571`: Switch default ArrowStyle angle values from None to zero.
+* :ghpull:`20510`: Consistent capitalization of section headers
+* :ghpull:`20573`: Move the marker path example into the marker reference
+* :ghpull:`20572`: Clarify allowable backend switches in matplotlib.use().
+* :ghpull:`20538`: Show box/arrowstyle parameters in reference examples.
+* :ghpull:`20515`: Shorten the implementation of bxp().
+* :ghpull:`20562`: More concise how to for subplot adjustment
+* :ghpull:`20570`: Reduce vertical margins in property tables
+* :ghpull:`20563`: Expire deprecation of passing nbins to MaxNLocator in two ways
+* :ghpull:`20561`: Fix limits in plot types example hist(x)
+* :ghpull:`20559`: Fix deprecation of encoding in plot_directive.
+* :ghpull:`20547`: Raise if passed invalid kwargs to set_constrained_layout_pads.
+* :ghpull:`20527`: Factor out DEBUG_TRUETYPE checks in ttconv, & removals of unused defs.
+* :ghpull:`20465`: Remove remaining 3.3 deprecations
+* :ghpull:`20558`: Rename recently introduced parameters in SpanSelector
+* :ghpull:`20535`: Improve the documentation guide
+* :ghpull:`20113`: Interactive span selector improvement
+* :ghpull:`20524`: Dedupe some box anchoring code between legend.py and offsetbox.py.
+* :ghpull:`20451`: Add initial TextBox widget testing
+* :ghpull:`20543`: Deprecate ``@pytest.mark.style(...)``.
+* :ghpull:`20530`: Plot nothing for incompatible 0 shape in x,y data
+* :ghpull:`20367`: Add parse_math in Text and default it False for TextBox
+* :ghpull:`20509`: Cleanup plot types
+* :ghpull:`20537`: Don't sort boxstyles/arrowstyles/etc. alphabetically.
+* :ghpull:`20542`: Fix ScalarFormatter.format_ticks for non-ordered tick locations.
+* :ghpull:`20533`: Rename (N, M) -> (M, N) array-like
+* :ghpull:`20540`: Deprecate :encoding: option to .. plot::, which has no effect since 2011
+* :ghpull:`20541`: Minor fix
+* :ghpull:`20539`: Document defaults in plot_directive.
+* :ghpull:`20536`: Make most of annotation tutorial a comment, and remove figure titles.
+* :ghpull:`20439`: Remove dead code from LGTM alerts.
+* :ghpull:`20528`: Merge subplot_demo into subplot example.
+* :ghpull:`20493`: Cleanup AnchoredOffsetbox-related demos.
+* :ghpull:`20513`: Shorten the bxp docstring.
+* :ghpull:`20507`: Merge subplot_toolbar example into subplots_adjust.
+* :ghpull:`20505`: Add rc_context to customizing tutorial
+* :ghpull:`20449`: Suppress repeated logwarns in postscript output.
+* :ghpull:`20500`: DOC: Add twitter icon and fix logo link
+* :ghpull:`20499`: Simplify plot types pie()
+* :ghpull:`20495`: Fix shape of Z in contour docs
+* :ghpull:`20497`: Remove obsolete footnote on pyside
+* :ghpull:`20485`: DOC: hexbin 'extent' must be 4-tuple of float, not float
+* :ghpull:`20466`: Various cleanups to pgf backend.
+* :ghpull:`20474`: Make lack of support more explicit for non-postscript fonts + usetex.
+* :ghpull:`20476`: give Font a root widget
+* :ghpull:`20477`: remove _master attribute from FigureCanvasTk
+* :ghpull:`19731`: DOC: first pass at switching to pydata theme
+* :ghpull:`20475`: Less pyplot, more OO in docs.
+* :ghpull:`20467`: Small cleanups to sphinxext.plot_directive.
+* :ghpull:`20437`: Use packaging to do version comparisons.
+* :ghpull:`20354`: Merge Colorbar and ColorbarBase.
+* :ghpull:`20464`: tinypages/conf.py doesn't need to manipulate sys.path.
+* :ghpull:`20420`: Add a select_overload helper for signature-overloaded functions.
+* :ghpull:`20460`: Shorten the AnchoredOffsetbox docstring.
+* :ghpull:`20458`: Set the axes of legend text
+* :ghpull:`20438`: Fix deprecation of ``Tick.apply_tickdir``.
+* :ghpull:`20457`: Rename data variables in histogram example.
+* :ghpull:`20442`: Fix dvi baseline detector when ``\usepackage{chemformula}`` is used.
+* :ghpull:`20454`: Tell LGTM to use Python 3 explicitly.
+* :ghpull:`20446`: Make used tex packages consistent between ps and other backends.
+* :ghpull:`20447`: Remove Figure/Axes/Axis deprecations from 3.3
+* :ghpull:`20414`: ENH: add colorbar info to gridspec cbar
+* :ghpull:`20436`: Add missing super __init__ in subclasses
+* :ghpull:`20284`: Use a GtkApplication in GTK backend.
+* :ghpull:`20400`: Make pdftex.map parsing stricter
+* :ghpull:`20292`: Cleanup plot types docs
+* :ghpull:`20445`: Small cleanups to backend_ps.
+* :ghpull:`20399`: Improve example for 3D polygons
+* :ghpull:`20432`: Small doc cleanups.
+* :ghpull:`20398`: Document Axes.get_aspect()
+* :ghpull:`20428`: Deprecate public use of get_path_in_displaycoord.
+* :ghpull:`20397`: Improve hexbin() documentation
+* :ghpull:`20430`: Improve fancyarrow_demo.
+* :ghpull:`20431`: Fix indentation of Arrow/Box/Connection styles tables.
+* :ghpull:`20427`: Fix references in ArrowStyle docstring.
+* :ghpull:`20346`: Clarify/Improve docs on family-names vs generic-families
+* :ghpull:`20410`: PGF: Clip lines/markers to maximum LaTeX dimensions.
+* :ghpull:`20363`: Don't disable path clipping on paths with codes.
+* :ghpull:`20244`: Inline and simplify SubplotToolQt.
+* :ghpull:`20165`: Slightly improve output of dvi debug utilities, and tiny cleanups.
+* :ghpull:`20390`: Cleanup arrow_demo.
+* :ghpull:`20408`: Remove mention of now-removed Encoding class.
+* :ghpull:`20327`: FIX: fix colorbars with no scales
+* :ghpull:`20215`: Quadmesh.set_array validates dimensions
+* :ghpull:`20293`: Simplify font setting in usetex mode
+* :ghpull:`20386`: Merge arrow_simple_demo into arrow_guide.
+* :ghpull:`20348`: codecs.getwriter has simpler lifetime semantics than TextIOWrapper.
+* :ghpull:`20132`: Create release notes page
+* :ghpull:`20331`: Remove Axis, Tick, and Axes deprecations from 3.3
+* :ghpull:`20373`: Handle direction="column" in axes_grid.Grid
+* :ghpull:`20394`: Remove separate section for support of 3d subplots.
+* :ghpull:`20393`: Remove non-informative figure captions.
+* :ghpull:`17453`: Displaying colorbars with specified boundaries correctly
+* :ghpull:`20369`: Switch version scheme to release-branch-semver.
+* :ghpull:`20377`: Cleanup some examples titles & texts.
+* :ghpull:`20378`: Redirect agg_buffer{,_to_array} examples to canvasagg.
+* :ghpull:`20376`: Small improvements to canvasagg example.
+* :ghpull:`20365`: Reorganize a bit text-related rcs in matplotlibrc.
+* :ghpull:`20362`: Add research notice
+* :ghpull:`20353`: Remove incorrect statement about data-kwarg interface.
+* :ghpull:`20343`: Fix exception handling when constructing C-level PathGenerator.
+* :ghpull:`20349`: Fix missing write in TTStreamWriter::printf.
+* :ghpull:`20347`: Fix possible refleak in PathGenerator.
+* :ghpull:`20339`: Cleanup autoscale-related docstrings.
+* :ghpull:`20338`: Fix some indent-related style lints.
+* :ghpull:`20337`: Small unit-related cleanups.
+* :ghpull:`20168`: FIX: clean up re-limiting hysteresis
+* :ghpull:`20336`: Deduplicate color format specification
+* :ghpull:`20334`: Remove need for ConversionInterface to support unitless values.
+* :ghpull:`20020`: For polar plots, report cursor position with correct precision.
+* :ghpull:`20319`: DOC: Tweaks to module API pages
+* :ghpull:`20332`: Quadmesh's default value of shading is now set to 'flat' instead of False
+* :ghpull:`20333`: Better align param comments in ``Legend.__init__`` signature.
+* :ghpull:`20323`: Adding cla and remove to ColorbarAxes
+* :ghpull:`20320`: Fix remaining E265 exceptions.
+* :ghpull:`20318`: DOC: Fix missing refs in what's new pages
+* :ghpull:`20315`: Fix spelling.
+* :ghpull:`20291`: Write data parameter docs as regular parameter not as note (v2)
+* :ghpull:`19908`: Implement get_cursor_data for QuadMesh.
+* :ghpull:`20314`: MAINT: Removing deprecated colorbar functions.
+* :ghpull:`20310`: Add test for font selection by texmanager.
+* :ghpull:`19348`: Make YearLocator a subclass of RRuleLocator
+* :ghpull:`20208`: Rewrite blocking_input to something much simpler.
+* :ghpull:`19033`: Templatize class factories.
+* :ghpull:`20309`: DOC: Spell out args/kwargs in examples/tutorials
+* :ghpull:`20305`: Merge two axisartist examples and point to standard methods.
+* :ghpull:`20306`: Document legend(handles=handles) signature
+* :ghpull:`20311`: Warn if a non-str is passed to an rcParam requiring a str.
+* :ghpull:`18472`: Adding a get_coordinates() method to Quadmesh collections
+* :ghpull:`20032`: axvline()/axvspan() should not update r limits in polar plots.
+* :ghpull:`20304`: Don't mention dviread in the PsfontsMap "missing entry" error message.
+* :ghpull:`20308`: Remove outdated comment re: pgf/windows.
+* :ghpull:`20302`: Further remove use of meshWidth, meshHeight in QuadMesh.
+* :ghpull:`20101`: Fix ``Text`` class bug when ``font`` argument is provided without ``math_fontfamily``
+* :ghpull:`15436`: Allow imshow from float16 data
+* :ghpull:`20299`: Simplify tfm parsing.
+* :ghpull:`20290`: Support imshow(<float16 array>).
+* :ghpull:`20303`: Remove tilde in code links where not necessary
+* :ghpull:`19873`: Allow changing the vertical axis in 3d plots
+* :ghpull:`19558`: Use luatex in --luaonly mode to query kpsewhich.
+* :ghpull:`20301`: Clarify the effect of PolygonCollection properties on Quiver
+* :ghpull:`20235`: Warn user when mathtext font is used for ticks
+* :ghpull:`20237`: Make QuadMesh arguments with defaults keyword_only
+* :ghpull:`20054`: Enh better colorbar axes
+* :ghpull:`20164`: Auto-generate required kwdoc entries into docstring.interpd.
+* :ghpull:`19677`: Convert axis limit units in Qt plot options widget
+* :ghpull:`14913`: Reimplement NonUniformImage, PcolorImage in Python, not C.
+* :ghpull:`20295`: Replace text._wrap_text by _cm_set().
+* :ghpull:`19859`: Write data parameter docs as regular parameter not as note
+* :ghpull:`20273`: Fix cursor with toolmanager on GTK3.
+* :ghpull:`20288`: Small markup fixes in api docs.
+* :ghpull:`20276`: Tiny fixes to mathtext/usetex tutorials.
+* :ghpull:`20084`: Add legend.labelcolor in rcParams
+* :ghpull:`19253`: Improve font spec for SVG font referencing.
+* :ghpull:`20278`: Deprecate public access to certain texmanager attributes.
+* :ghpull:`19375`: Don't composite path-clipped image; forward suppressComposite as needed.
+* :ghpull:`20190`: Simplify handling of uncomparable formats in tests.
+* :ghpull:`20277`: Fix ordering of tex font usepackages.
+* :ghpull:`20279`: Slightly reword intros of mpl_toolkits API docs.
+* :ghpull:`20272`: De-duplicate fonts in LaTeX preamble.
+* :ghpull:`15604`: Deprecate auto-removal of grid by pcolor/pcolormesh.
+* :ghpull:`20193`: Simplify HostAxes.draw and its interaction with ParasiteAxes.
+* :ghpull:`19441`: Make backend_gtk3foo importable on headless environments.
+* :ghpull:`20126`: Simplify font_manager font enumeration logic.
+* :ghpull:`19869`: Factor out x/y lo/hi handling in errorbar.
+* :ghpull:`20173`: Rename (with deprecation) first parameter of grid() from b to visible.
+* :ghpull:`19499`: Fully fold overset/underset into _genset.
+* :ghpull:`20268`: Api pcolorargs deprecation
+* :ghpull:`20264`: Fix blitting selector
+* :ghpull:`20081`: Limit documenting special members to __call__
+* :ghpull:`20245`: MAINT: Removing deprecated ``offset_position`` from Collection
+* :ghpull:`20218`: Update Axes showcase in "Embedding in Tk" example
+* :ghpull:`20019`: Example: Cursor widget with text
+* :ghpull:`20242`: Add comments and format Axis._get_coord_info
+* :ghpull:`20207`: Move axisartist towards using standard Transforms.
+* :ghpull:`20247`: Explicitly reject black autoformatting.
+* :ghpull:`20217`: ci: Export sphinx-gallery run results to CircleCI.
+* :ghpull:`20238`: Clarify docstring of ScalarMappable.set/get_array()
+* :ghpull:`20239`: Style tables in style guide
+* :ghpull:`19894`: Remove deprecated Qt4 backends
+* :ghpull:`19937`: Add washing machine to Axes3D
+* :ghpull:`20233`: Add a Ubuntu 20.04 / Python 3.9 CI run
+* :ghpull:`20227`: Adding an equals method to colormaps
+* :ghpull:`20216`: Documentation Style Guide for contributors
+* :ghpull:`20222`: Fix C coverage
+* :ghpull:`20221`: DOC: clarify that savefig(..., transparent=False) has no effect
+* :ghpull:`20047`: Add labels parameter to set_ticks()
+* :ghpull:`20118`: Convert FontEntry to a data class
+* :ghpull:`19167`: Add support for HiDPI in TkAgg on Windows
+* :ghpull:`18397`: fix cmr10 negative sign in cmsy10 (RuntimeWarning: Glyph 8722 missing)
+* :ghpull:`20170`: SubplotParams.validate-associated fixes.
+* :ghpull:`19467`: Shorten the implementation of violin().
+* :ghpull:`12226`: FIX: pcolor/pcolormesh honour edgecolors kwarg when facecolors is set 'none'
+* :ghpull:`18870`: Expand ScalarMappable.set_array to accept array-like inputs
+* :ghpull:`20073`: Support SubFigures in AxesDivider.
+* :ghpull:`20209`: Deprecate cbook.report_memory.
+* :ghpull:`20211`: Use check_getitem in legend location resolution.
+* :ghpull:`20206`: Cleanup axisartist in preparation for future changes.
+* :ghpull:`20191`: Small simplifications to FloatingAxesBase.
+* :ghpull:`20189`: Add tests for ginput and waitforbuttonpress.
+* :ghpull:`20199`: Make set_marker{edge,face}color(None) more consistent.
+* :ghpull:`16943`: Changing get_cmap to return copies of the registered colormaps.
+* :ghpull:`19483`: MNT: deprecate epoch2num/num2epoch
+* :ghpull:`20201`: Simplify _process_plot_var_args.set_prop_cycle.
+* :ghpull:`20197`: Speedup Line2D marker color setting.
+* :ghpull:`20194`: Fix markup on MEP22.
+* :ghpull:`20198`: Fix validation of Line2D color.
+* :ghpull:`20046`: Deprecation warning
+* :ghpull:`20144`: More tight_layout cleanups
+* :ghpull:`20105`: Shorten Curve arrowstyle implementations.
+* :ghpull:`19401`: Simplify axisartist line clipping.
+* :ghpull:`19260`: Update round fix
+* :ghpull:`20196`: Replaced links to colormap packages with link to third-party packages list in MPL docs
+* :ghpull:`18819`: Usage guide edit
+* :ghpull:`18346`: Soft-deprecate Axes.plot_date()
+* :ghpull:`20187`: Merge v3.4.x up into master
+* :ghpull:`15333`: Enh: DivergingNorm Fair
+* :ghpull:`20188`: Remove 3.3 deprecations in cbook.
+* :ghpull:`20177`: Fix broken test re: polar tick visibility.
+* :ghpull:`20026`: DOC: move third-party packages to new page
+* :ghpull:`19994`: Don't hide shared "x/y"ticklabels for grids of non-rectilinear axes.
+* :ghpull:`20150`: Rename mosaic layout
+* :ghpull:`19369`: Add Artist._cm_set for temporarily setting an Artist property.
+* :ghpull:`15889`: Add svg logo icon
+* :ghpull:`20140`: DOC: make 2x versions of all gallery figures
+* :ghpull:`20155`: Fix wheel builds on CI
+* :ghpull:`19951`: Convert Qhull wrapper to C++ and array_view
+* :ghpull:`19918`: Cleanup some consistency in contour extensions
+* :ghpull:`20153`: Fix wheel builds on CI
+* :ghpull:`19363`: Create box3d example
+* :ghpull:`20129`: Cleanup some "variable assigned but not used" lints.
+* :ghpull:`20107`: Support full-sharex/y in subplot_mosaic.
+* :ghpull:`20094`: Switch _auto_adjust_subplotpars to take rowspan/colspan as input.
+* :ghpull:`16368`: Improve warning for unsupported scripts.
+* :ghpull:`19660`: Allow PolygonSelector points to be removed
+* :ghpull:`16291`: Split Norm and LinearNorm up
+* :ghpull:`20119`: Cleanup flake8 exceptions for examples
+* :ghpull:`20109`: Fix trailing text in doctest-syntax plot_directive.
+* :ghpull:`19538`: Speedup pdftex.map parsing.
+* :ghpull:`20003`: Bump minimum NumPy to 1.17
+* :ghpull:`20074`: Copy-edit axes_grid tutorial.
+* :ghpull:`20124`: Remove workaround unneeded on Py3.7+, which we require now.
+* :ghpull:`20120`: Cleanup subsetting tool.
+* :ghpull:`20108`: Skip back-and-forth between pixels and points in contour code.
+* :ghpull:`20106`: Shorten bracket arrowstyle docs.
+* :ghpull:`20090`: Cleanup anchored_artists, inset_locator docstrings.
+* :ghpull:`20097`: Use nullcontext more as do-nothing context manager.
+* :ghpull:`20095`: Remove 3.3 ticker deprecations
+* :ghpull:`20064`: Expire deprecation of AxesDivider defaulting to zero pads.
+* :ghpull:`20091`: Cleanup tight_layout.
+* :ghpull:`20069`: Don't make VBoxDivider inherit from HBoxDivider.
+* :ghpull:`20078`: Remove some usages of OrderedDict
+* :ghpull:`20077`: Expire Artist.set() property reordering
+* :ghpull:`20070`: Harmonize descriptions of the 'anchor' parameter.
+* :ghpull:`20011`: Move development dependencies to dependencies page
+* :ghpull:`20072`: Improve labeling in simple_axes_divider1 example.
+* :ghpull:`20063`: Deprecate some untested, never used axes_grid1 methods.
+* :ghpull:`20065`: Deprecate AxesDivider.append_axes(..., add_to_figure=True).
+* :ghpull:`20066`: Cleanup axes_divider docstrings, and detail calculations.
+* :ghpull:`20059`: Include left and right titles for labeling axes in qt axes selector.
+* :ghpull:`20052`: Remove axes_grid/axisartist APIs deprecated in Matplotlib 3.3.
+* :ghpull:`18807`: make FancyArrow animatable
+* :ghpull:`15281`: Don't use ImageGrid in demo_text_rotation_mode.
+* :ghpull:`20051`: Remove offsetbox APIs deprecated in Matplotlib 3.3.
+* :ghpull:`14854`: Improved dev installation documentation
+* :ghpull:`18900`: Enh better colorbar axes
+* :ghpull:`20042`: DOC: fix typos
+* :ghpull:`13860`: Deprecate {Locator,Formatter}.set_{{view,data}_interval,bounds}.
+* :ghpull:`20028`: Shorten the repr of scaling transforms.
+* :ghpull:`20027`: Fix axvspan for drawing slices on polar plots.
+* :ghpull:`20024`: Small fixes to latex-related docs.
+* :ghpull:`20023`: Simplify _redo_transform_rel_fig.
+* :ghpull:`20012`: Fix default theta tick locations for non-full-circle polar plots.
+* :ghpull:`20021`: DOC: fix typos
+* :ghpull:`20013`: Move restriction of polar theta scales to ThetaAxis._set_scale.
+* :ghpull:`20010`: DOC: fix heading level for plot_types/stats
+* :ghpull:`20000`: Remove ax fixture from category tests.
+* :ghpull:`20007`: Correct minor typos in legend.py and autoscale.py
+* :ghpull:`20005`: DOC: Fix numpydoc syntax, and parameters names.
+* :ghpull:`19996`: Small simplification to RadialLocator.
+* :ghpull:`19968`: ENH: draw no output
+* :ghpull:`19657`: Allow Selectors to be dragged from anywhere within their patch
+* :ghpull:`19304`: Add legend title font properties
+* :ghpull:`19977`: Fix doc build
+* :ghpull:`19974`: CI: update the ssh key used to push the devdocs
+* :ghpull:`9888`: Add an Annulus patch class
+* :ghpull:`13680`: Update seaborn style
+* :ghpull:`19967`: ENH: add user-facing no-output draw
+* :ghpull:`19765`: ENH: use canvas renderer in draw
+* :ghpull:`19525`: Don't create page transparency group in pdf output (for pdftex compat).
+* :ghpull:`19952`: avoid implicit np.array -> float conversion
+* :ghpull:`19931`: Remove now unused patches to ttconv.
+* :ghpull:`19934`: Deprecate drawtype to RectangleSelector
+* :ghpull:`19941`: Simplify 3D random walk example
+* :ghpull:`19926`: Move custom scales/custom projections docs to module docstrings.
+* :ghpull:`19898`: Remove 3.3 backend deprecations
+* :ghpull:`19901`: Remove 3.3 rcParam deprecations
+* :ghpull:`19900`: Remove 3.3 text deprecations
+* :ghpull:`19922`: Remove 3.3 deprecated modules
+* :ghpull:`19925`: Include projections.geo in api docs.
+* :ghpull:`19924`: Discourage use of imread & improve its docs.
+* :ghpull:`19866`: Switch to asciiart for boxplot illustration.
+* :ghpull:`19912`: Add symlog to figureoptions scalings
+* :ghpull:`19564`: Micro-optimize type1font loading
+* :ghpull:`19623`: FIX: Contour lines rendered incorrectly when closed loops
+* :ghpull:`19902`: Implement ``ArtistList.__[r]add__``.
+* :ghpull:`19904`: Don't set zoom/pan cursor for non-navigatable axes.
+* :ghpull:`19909`: Use unicode when interactively displaying 3d azim/elev.
+* :ghpull:`19905`: pyplot: do not apply kwargs twice in to x/yticklabels
+* :ghpull:`19126`: Move pixel ratio handling into FigureCanvasBase
+* :ghpull:`19897`: DOC/MNT fix make clean for plot_types
+* :ghpull:`19858`: Move Line2D units handling to Axes & deprecate "units finalize" signal.
+* :ghpull:`19889`: Include length in ArtistList repr.
+* :ghpull:`19887`: Fix E265 in test files.
+* :ghpull:`19882`: Use ax.set() for a more compact notation of styling in plot types docs
+* :ghpull:`17231`: Fix errobar order
+* :ghpull:`19703`: DOC:  new plot gallery
+* :ghpull:`19825`: Factor out machinery for running subprocess tk tests.
+* :ghpull:`19872`: Fix unit handling in errorbar for astropy.
+* :ghpull:`19526`: Apply unit conversion early in errorbar().
+* :ghpull:`19855`: Correct handle default backend.
+* :ghpull:`18216`: Combine Axes.{lines,images,collections,patches,text,tables} into single list
+* :ghpull:`19853`: Consistent corner variables names in widgets.py
+* :ghpull:`19575`: Deprecate Text.get_prop_tup.
+* :ghpull:`19810`: Remove JPEG-specific parameters and rcParams.
+* :ghpull:`19666`: Change dictionary to list of tuples to permit duplicate keys
+* :ghpull:`19400`: Fix tk event coordinates in the presence of scrollbars.
+* :ghpull:`19603`: Remove matplotlibrc.template.
+* :ghpull:`19835`: Merge v3.4.x into master
+* :ghpull:`19821`: Hide stderr output from subprocess call in test suite.
+* :ghpull:`19819`: Correct small typos in _axes.py and legend.py
+* :ghpull:`19795`: Remove usetex-related APIs deprecated in Matplotlib 3.3.
+* :ghpull:`19789`: Fix zorder handling for OffsetBoxes and subclasses.
+* :ghpull:`19796`: Expire ````keymap.all_axes````-related deprecations.
+* :ghpull:`19806`: Remove outdated api changes notes.
+* :ghpull:`19801`: Expire deprecation of mathtext.fallback_to_cm.
+* :ghpull:`12744`: Explicit plotorder
+* :ghpull:`19681`: Merge branch 'v3.4.x' into master
+* :ghpull:`18971`: Switch to setuptools_scm.
+* :ghpull:`19727`: DOC: simplify API index
+* :ghpull:`19760`: Speed up _delete_parameter.
+* :ghpull:`19756`: Minor cleanup of documentation guide
+* :ghpull:`19752`: Cleanup backend_tools docstrings, and minor refactorings.
+* :ghpull:`19552`: Remove scalarmappable private update attributes
+* :ghpull:`19728`: Factor out clip-path attr handling in backend_svg.
+* :ghpull:`19540`: Share subplots() label visibility handling with label_outer().
+* :ghpull:`19753`: Cleanup string formatting in backend_pgf.
+* :ghpull:`19750`: Simplify maxdict implementation.
+* :ghpull:`19749`: Remove unused _find_dedent_regex & _dedent_regex.
+* :ghpull:`19751`: Update some matplotlib.lines docstrings.
+* :ghpull:`13072`: ENH: add figure.legend; outside kwarg for better layout outside subplots
+* :ghpull:`19740`: Minor backend docstring fixes.
+* :ghpull:`19734`: Remove unused _fonts attribute in RendererSVG.
+* :ghpull:`19733`: Reword AutoDateFormatter docs.
+* :ghpull:`19718`: Small style fixes to matplotlibrc.template.
+* :ghpull:`19679`: Add inheritance diagram to patches docs
+* :ghpull:`19717`: Don't sort lexicographially entries in SVG output.
+* :ghpull:`19716`: Fix colon placement in issue template.
+* :ghpull:`19704`: Cleanup license page in docs
+* :ghpull:`19487`: Deprecate unused \*args to print_<foo>.
+* :ghpull:`19654`: Dedupe various method implementations using functools.partialmethod.
+* :ghpull:`19655`: Deprecate Tick.apply_tickdir.
+* :ghpull:`19653`: deprecate_privatize_attribute also works for privatizing methods.
+* :ghpull:`19646`: Add angle setter/getter to Rectangle
+* :ghpull:`19659`: Improve docs for rgba conversion
+* :ghpull:`19641`: Fix Bbox.frozen() not copying minposx/minposy
+* :ghpull:`19626`: Clean up E265 in examples.
+* :ghpull:`19622`: Prefer Axes.remove() over Figure.delaxes() in docs.
+* :ghpull:`19621`: Dedupe docstrings of Figure.{get_axes,axes}.
+* :ghpull:`19600`: DOC: better intro for dates.py
+* :ghpull:`19606`: Remove versionadded notes; correct doc link
+* :ghpull:`19620`: Remove suggestion to remove rk4/rk45 integrators from streamplot.
+* :ghpull:`19586`: DOC: more improve date example
+* :ghpull:`19566`: add docstring to ax.quiver
+* :ghpull:`19601`: Handle None entries in sys.modules.
+* :ghpull:`19517`: Deprecate toplevel is_url, URL_REGEX helpers.
+* :ghpull:`19570`: Dedupe part of error message in check_in_list.
+* :ghpull:`14508`: Add force_zorder parameter
+* :ghpull:`19585`: Deprecate trivial helpers in style.core.
+* :ghpull:`19534`: BUG: fill_between with interpolate=True and NaN.
+* :ghpull:`18887`: FIX: Generalize Colorbar Scale Handling
+* :ghpull:`16788`: Adding png image return for inline backend figures with _repr_html_
+
+Issues (187):
+
+* :ghissue:`21518`: [Bug]: Datetime axis with usetex is unclear
+* :ghissue:`21509`: [Bug]: Text sometimes is missing when figure saved to EPS
+* :ghissue:`21569`: [Bug]: AttributeError: 'NoneType' object has no attribute 'dpi' after drawing and removing contours inside artist
+* :ghissue:`21612`: [Bug]: Security.md out of date
+* :ghissue:`21608`: [Doc]: ``ax.voxels`` links to wrong method.
+* :ghissue:`21528`: [Doc]: Outdated QT_API docs
+* :ghissue:`21517`: [Bug]: this example shows ok on matplotlib-3.4.3, but not in matplotlib-3.5.0 master of october 30th
+* :ghissue:`21548`: [Bug]: blocking_input
+* :ghissue:`21552`: [Bug]: eventplot cannot handle multiple datetime-based series
+* :ghissue:`21441`: [Bug]: axes(position = [...]) behavior
+* :ghissue:`10346`: Passing clim as keyword argument to pcolormesh does not change limits.
+* :ghissue:`21480`: [Bug]: Subfigure breaks for some ``Gridspec`` slices when using ``constrained_layout``
+* :ghissue:`20989`: [Bug]: regression with setting ticklabels for colorbars in matplotlib 3.5.0b1
+* :ghissue:`21474`: [Doc]: Suggestion to use PIL.image.open is not a 1:1 replacement for imread
+* :ghissue:`19634`: Multicursor docstring missing a Parameters Section
+* :ghissue:`20847`: [Bug]: Contourf not filling contours.
+* :ghissue:`21300`: [Bug]: zooming in on contour plot gives false extra contour lines
+* :ghissue:`21466`: [Bug]: EPS export shows hidden tick labels when using tex for text rendering
+* :ghissue:`21463`: [Bug]: Plotting lables with Greek latters in math mode produces Parsing error when plt.show() runs
+* :ghissue:`20534`: Document formatting for sections
+* :ghissue:`21246`: [Doc]: Install info takes up too much room on new front page
+* :ghissue:`21432`: [Doc]: Double clicking parameter name also highlights next item of text
+* :ghissue:`21310`: [Bug]: contour on 3d plot fails if x and y are 1d and different lengths
+* :ghissue:`18213`: Figure out why test_interactive_backend fails on Travis macOS
+* :ghissue:`21090`: [MNT]: Should set_size_inches be updated to use device_pixel_ratio?
+* :ghissue:`13948`: Allow colorbar.ax.set_ylim to set the colorbar limits?
+* :ghissue:`21314`: Inconsistensy in ``pyplot.pcolormesh`` docstring regarding default value for ``shading``
+* :ghissue:`21320`: [Doc]: Incorrect image caption in imshow() example
+* :ghissue:`21311`: [Doc]: dead link for agg
+* :ghissue:`20929`: [Bug]: PyPy Win64 wheels use incorrect version
+* :ghissue:`21202`: [Bug]: python3.7/site-packages/matplotlib/ft2font.so: Undefined symbol "FT_Done_Glyph"
+* :ghissue:`20932`: Qt Ctrl-C broken on windows
+* :ghissue:`21230`: [Doc]: [source] links is devdocs are broken
+* :ghissue:`20906`: 3.5.0b1: ax.contour generates different artists
+* :ghissue:`21161`: [Doc]: In new docs, "Usage guide" entry in the top menu does not link to the "Usage guide"
+* :ghissue:`21016`: [Bug] Error: 'PathCollection' object has no attribute 'do_3d_projection' when doing contourf in 3d with extend = 'both'
+* :ghissue:`21135`: [Doc]: Data parameter description is not always replaced
+* :ghissue:`4132`: Support clim kwarg in pcolor-type plots
+* :ghissue:`21110`: Qt swapping ctrl and cmd on OSX
+* :ghissue:`20912`: [ENH]: data kwarg support for mplot3d
+* :ghissue:`15005`: Cleanup API for setting ticks
+* :ghissue:`21095`: [ENH]: A data-type check is missed in cm.ScalarMappable.set_array()
+* :ghissue:`7711`: Colorbar: changing the norm does not update the Formatter
+* :ghissue:`18925`: Removing axes created by twiny() leads to an error
+* :ghissue:`21057`: [Bug]: distutils deprecation
+* :ghissue:`21024`: [ENH]: Cairo backends do not fully support HiDPI
+* :ghissue:`20811`: Python 3.10 manylinux wheels
+* :ghissue:`11509`: On making the rc-validators function know the rcParam affected instance
+* :ghissue:`20516`: Sketch params ignored when using PGF backend
+* :ghissue:`20963`: [Bug]: broken 'proportional' colorbar when using contourf+cmap+norm+extend
+* :ghissue:`13974`: [DOC] Undocumented behavior in streamplot
+* :ghissue:`16251`: API changes are too hard to find in the rendered docs
+* :ghissue:`20770`: [Doc]: How to replicate behaviour of ``plt.gca(projection=...)``?
+* :ghissue:`17052`: Colorbar update error with clim change in multi_image.py example
+* :ghissue:`4387`: make ``Normalize`` objects notifiy scalar-mappables on changes
+* :ghissue:`20001`: rename fig.draw_no_output
+* :ghissue:`20936`: [Bug]: edgecolor 'auto' doesn't work properly
+* :ghissue:`20909`: [Bug]: Animation error message
+* :ghissue:`6864`: Add release dates to what's new page
+* :ghissue:`20905`: [Bug]: error plotting z-axis array with np.nan -- does not plot with cmap option (surface plot)
+* :ghissue:`20618`: BUG: Lost functionality of interactive selector update
+* :ghissue:`20791`: [Bug]: spines and ticklabels
+* :ghissue:`20723`: Adding a legend to a ``SubFigure`` doesn't work
+* :ghissue:`20637`: PyPy wheels are pinned to v3.3, so pypy-based wheels for latest versions are not available
+* :ghissue:`19160`: pypy failures
+* :ghissue:`20385`: Add ']->' , '<-[' arrowstyles
+* :ghissue:`19016`: Move away from set_ticklabels()
+* :ghissue:`20800`: [Bug]: Setting backend in custom style sheet raises UserWarning
+* :ghissue:`20809`: [Bug]: \Cap and \Cup in mathtext are inconsistent
+* :ghissue:`20762`: [Doc]: Add external resources to devdoc landing page
+* :ghissue:`18490`: Add a method to access the list of registered colormaps
+* :ghissue:`20666`: Interactive SpanSelector no longer notifies when the selector is removed by an "empty" click
+* :ghissue:`20552`: Expose legend's line: ``legline._legmarker`` as public
+* :ghissue:`18391`: Bug? Legend Picking Not Working on Marker
+* :ghissue:`11357`: Unable to retrieve marker from legend handle
+* :ghissue:`2035`: legend marker update bug
+* :ghissue:`19748`: Incorrect & inconsistent coloring in .imshow() with LogNorm
+* :ghissue:`18735`: imshow padding around NaN values
+* :ghissue:`7928`: [Bug] backend_bases.key_press_handler sneakily uses digit keys
+* :ghissue:`20802`: Add ability to disable callbacks temporarily
+* :ghissue:`16470`: Inconsistent Corner Masking w/ plot_surface
+* :ghissue:`12395`: Rendering issue occurs when plotting 3D surfaces at a discontinuity
+* :ghissue:`8222`: matplotlib 3D surface - gaps / holes in surface
+* :ghissue:`4941`: Axes3d plot_surface not supporting masked arrays?
+* :ghissue:`487`: Plotting masked arrays with plot_surface()
+* :ghissue:`20794`: [Doc]: "Bachelor's degrees by gender" example is more or less dufte
+* :ghissue:`20557`: Have ``[Source]`` in api docs link to github
+* :ghissue:`20754`: [Doc]: legend guide should be OO
+* :ghissue:`17770`: animation.save and fig.savefig interfere with each other and raise StopIteration
+* :ghissue:`20785`: [Bug]: Colorbar creation from pcolormesh with cell specific alpha values
+* :ghissue:`19843`: collection with alpha + colorer
+* :ghissue:`20698`: collections.Collections offset improvements
+* :ghissue:`17774`: Cannot make Latex plots when Pandas dataframe has underscore in variable name
+* :ghissue:`19884`: Better document Axes.set()
+* :ghissue:`20760`: [Bug]: subfigure position shifts on y-axis when x kwarg added to supxlabel
+* :ghissue:`20296`: colorbar set_ticklabels - text properties not working
+* :ghissue:`18191`: PostScript Type42 embedding is broken in various ways
+* :ghissue:`11303`: Using fonttype 42 will make the produced PDF size considerably larger when the image has Chinese characters
+* :ghissue:`20735`: The top level of the docs needs modification
+* :ghissue:`20684`: make_keyword_only doesn't work for pyplot-wrapped methods
+* :ghissue:`20635`: DOC: Document patch deprecation
+* :ghissue:`17473`: Issue with appearance of RectangleSelector
+* :ghissue:`20616`: Type 42 chars beyond BMP not displayed in PDF
+* :ghissue:`20658`: MAINT: CircleCI build merged PRs
+* :ghissue:`18312`: Add easily comparable version info to toplevel
+* :ghissue:`20665`: interactive SpanSelector incorrectly forces axes limits to include 0
+* :ghissue:`20614`: Missing kerning in PDFs with Type 42 font
+* :ghissue:`20640`: Column direction breaks label mode L for AxesGrid.
+* :ghissue:`20581`: Change in custom norm colour map display
+* :ghissue:`20595`: Triple and quadruple dot Mathtext accents don't stack or align.
+* :ghissue:`19755`: Avoid showing a black background before the plot is ready with Qt5agg backend
+* :ghissue:`10235`: Why not get the same clear image on a high-resolution screen?
+* :ghissue:`20479`: ColorbarAxes is an imperfect proxy for the Axes passed to Colorbar
+* :ghissue:`18965`: Figure options with qt backend breaks
+* :ghissue:`19256`: New Styling for Sliders
+* :ghissue:`14148`: zorder ignored in mplot3d
+* :ghissue:`20523`: plot_directive is confused by include directives, part 2 (context option)
+* :ghissue:`17860`: Plot directive may be confused by ``..include::``
+* :ghissue:`19431`: Tricontour documentation and examples should be updated in line with contour
+* :ghissue:`20508`: rcParams['axes.autolimit_mode'] = 'round_numbers' is broken
+* :ghissue:`20289`: Simplify font setting in usetex mode
+* :ghissue:`20370`: Test Coverage for TextBox
+* :ghissue:`20522`: Improve 'Writing ReST Pages' section on docs
+* :ghissue:`19259`: Set legend title font properties
+* :ghissue:`20049`: add legend.labelcolor "argument" to mplstyle stylesheet
+* :ghissue:`20452`: Wrong/not useful error message when plotting incompatible x and y
+* :ghissue:`20266`: "$$" cannot be displayed by ax.text()
+* :ghissue:`20517`: Wrong shape of Z in documentation of contour
+* :ghissue:`19423`: Switch to pydata-sphinx-theme
+* :ghissue:`20435`: Legend Text's ``axes`` attribute is ``None``
+* :ghissue:`20379`: Change name of variables in histogram example
+* :ghissue:`20440`: Wrong text vertical position with LaTeX enabled
+* :ghissue:`10042`: Inconsistent use of graphicx and color packages in LaTeX preambles
+* :ghissue:`4482`: PGF Backend: "Dimension too large" error while processing log-scale plot
+* :ghissue:`20324`: New colorbar doesn't handle norms without a scale properly...
+* :ghissue:`17508`: Quadmesh.set_array should validate dimensions
+* :ghissue:`20372`: Incorrect axes positioning in axes_grid.Grid with direction='column'
+* :ghissue:`19419`: Dev version hard to check
+* :ghissue:`17310`: Matplotlib git master version fails to pass serveral pytest's tests.
+* :ghissue:`7742`: plot_date() after axhline() doesn't rescale axes
+* :ghissue:`20322`: QuadMesh default for shading inadvertently changed.
+* :ghissue:`9653`: SVG savefig + LaTeX extremely slow on macOS
+* :ghissue:`20099`: ``fontset`` from ``mathtext`` throwing error after setting Text ``font=``
+* :ghissue:`18399`: How to get Quadmesh coordinates
+* :ghissue:`15432`: Add support in matplotlib.pyplot.imshow for float16
+* :ghissue:`20298`: plt.quiver linestyle option doesn't work?.....
+* :ghissue:`19075`: Qt backend's Figure options to support axis units
+* :ghissue:`15039`: NonUniformImage wrong image when using large values for axis
+* :ghissue:`18499`: Saving as a pdf ignores ``set_clip_path`` when there is more than one of them.
+* :ghissue:`15600`: Grid disappear after pcolormesh apply
+* :ghissue:`20080`: API docs currently include entries for class ``__dict__``, ``__module__``, ``__weakref__``
+* :ghissue:`20159`: Zoom in NavigationToolbar2Tk stops working after updating the canvas figure.
+* :ghissue:`17007`: Computer Modern Glyph Error
+* :ghissue:`19494`: Update azure ubuntu images to 18.04, or update texlive in CI
+* :ghissue:`18841`: ScalarMappable should copy its input and allow non-arrays
+* :ghissue:`20121`: Adding cmocean and CMasher to the colormaps tutorial
+* :ghissue:`18154`: Deprecate plot_date()
+* :ghissue:`7413`: Autoscaling has fundamental problems
+* :ghissue:`19627`: Replace use of Python/C API with numpy::array_view in _tri.cpp and qhull_wrap.c
+* :ghissue:`19111`: plot_directive errantly tries to run code
+* :ghissue:`11007`: BUG: Plot directive fails if its content ends with a normal text line (sphinxext)
+* :ghissue:`19929`: Selecting axes when customizing gives <anonymous AxesSubplot>
+* :ghissue:`19578`: bisect very hard with rcParam changes
+* :ghissue:`19506`: Allow saving PDF files without a page group
+* :ghissue:`19906`: symlog is not in scale setting
+* :ghissue:`19568`: Contour lines are rendered incorrectly when closed loops
+* :ghissue:`19890`: Should ArtistList implement ``__add__``?
+* :ghissue:`14405`: ENH: Add HiDPI physical to logical pixel ratio property
+* :ghissue:`17139`: errorbar doesn't follow plot order
+* :ghissue:`18277`: Create new sphinx gallery page for "Chart Types"
+* :ghissue:`15446`: the python script in Catalina dock icon display wrong
+* :ghissue:`19848`: ValueError: Key backend: '' is not a valid value for backend
+* :ghissue:`1622`: zorder is not respected by all parts of ``errorbar``
+* :ghissue:`17247`: Move towards making Axes.lines, Axes.patches, ... read-only views of a single child list.
+* :ghissue:`19842`: UserWarning: "Trying to register the cmap '...' which already exists" is not very helpful.
+* :ghissue:`7962`: pip interprets Matplotlib dev version as stable
+* :ghissue:`19607`: Curves with same label not appearing in Figure options (only the last one)
+* :ghissue:`17584`: NavigationToolbar2Tk behave unexpected when using it in with Tkinter Canvas
+* :ghissue:`19838`: Unexpected behaviour of imshow default interpolation
+* :ghissue:`7650`: anchored_artists don't support zorder argument
+* :ghissue:`19687`: License doc cleanup
+* :ghissue:`19635`: Multicursor updates to events for any axis
+* :ghissue:`17967`: Document how to use mathtext to obtain unicode minus instead of dashes for negative numbers
+* :ghissue:`8519`: Closed figures linger in memory
+* :ghissue:`14175`: RFC: Allow users to force zorder in 3D plots
+* :ghissue:`19464`: Quiver docs don't have a return section
+* :ghissue:`18986`: fill_between issue with interpolation & NaN
diff --git a/doc/users/prev_whats_new/github_stats_3.5.1.rst b/doc/users/prev_whats_new/github_stats_3.5.1.rst
new file mode 100644
index 000000000000..7eb37b769d6c
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.5.1.rst
@@ -0,0 +1,151 @@
+.. _github-stats-3-5-1:
+
+GitHub statistics for 3.5.1 (Dec 11, 2021)
+==========================================
+
+GitHub statistics for 2021/11/16 (tag: v3.5.0) - 2021/12/11
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 29 issues and merged 84 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/67?closed=1>`__
+
+The following 17 authors contributed 123 commits.
+
+* Antony Lee
+* Constantine Evans
+* David Stansby
+* Elliott Sales de Andrade
+* franzhaas
+* Greg Lucas
+* Hansin Ahuja
+* Hood Chatham
+* Jake Lishman
+* Jody Klymak
+* Matthias Bussonnier
+* Ryan May
+* Steffen Rehberg
+* Sven Eschlbeck
+* sveneschlbeck
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (84):
+
+* :ghpull:`21926`: Backport PR #21913 on branch v3.5.x (Make colorbar boundaries work again)
+* :ghpull:`21924`: Backport PR #21861 on branch v3.5.x (DOC: Small formatting improvement to set_markevery)
+* :ghpull:`21913`: Make colorbar boundaries work again
+* :ghpull:`21922`: Backport PR #21753 on branch v3.5.x (DOC: update anatomy of figure)
+* :ghpull:`21861`: DOC: Small formatting improvement to set_markevery
+* :ghpull:`21919`: Fix use_data_coordinates docstring
+* :ghpull:`21912`: Backport PR #21900 on branch v3.5.x (Include test notebooks in test package)
+* :ghpull:`21900`: Include test notebooks in test package
+* :ghpull:`21908`: Backport PR #21834 on branch v3.5.x (MAINT Fix signature qhull version function )
+* :ghpull:`21907`: Backport PR #21905 on branch v3.5.x (Fix image testing decorator in pytest importlib mode)
+* :ghpull:`21906`: Backport PR #21773 on branch v3.5.x (FIX: Reset label of axis to center)
+* :ghpull:`21834`: MAINT Fix signature qhull version function
+* :ghpull:`21905`: Fix image testing decorator in pytest importlib mode
+* :ghpull:`21773`: FIX: Reset label of axis to center
+* :ghpull:`21902`: Backport PR #21884 on branch v3.5.x (FIX: be more careful about coercing unit-full containers to ndarray)
+* :ghpull:`21884`: FIX: be more careful about coercing unit-full containers to ndarray
+* :ghpull:`21899`: Backport PR #21859 on branch v3.5.x (Fix streamline plotting from upper edges of grid)
+* :ghpull:`21859`: Fix streamline plotting from upper edges of grid
+* :ghpull:`21896`: Backport PR #21890 on branch v3.5.x (Drop retina images when building PDF docs)
+* :ghpull:`21891`: Backport PR #21887 on branch v3.5.x (Make figure target links relative)
+* :ghpull:`21883`: Backport PR #21872 on branch v3.5.x (FIX: colorbars with NoNorm)
+* :ghpull:`21872`: FIX: colorbars with NoNorm
+* :ghpull:`21869`: Backport PR #21866 on branch v3.5.x (Shorten some inset_locator docstrings.)
+* :ghpull:`21866`: Shorten some inset_locator docstrings.
+* :ghpull:`21865`: Backport PR #21864 on branch v3.5.x (Delete "Load converter" example)
+* :ghpull:`21864`: Delete "Load converter" example
+* :ghpull:`21857`: Backport PR #21837 on branch v3.5.x (Display example figures in a single column)
+* :ghpull:`21856`: Backport PR #21853 on branch v3.5.x (DOC: Fix Annotation arrow style reference example)
+* :ghpull:`21853`: DOC: Fix Annotation arrow style reference example
+* :ghpull:`21852`: Backport PR #21818 on branch v3.5.x (Fix collections coerce float)
+* :ghpull:`21818`: Fix collections coerce float
+* :ghpull:`21849`: Backport PR #21845 on branch v3.5.x (FIX: bbox subfigures)
+* :ghpull:`21845`: FIX: bbox subfigures
+* :ghpull:`21832`: Backport PR #21820 on branch v3.5.x (Drop setuptools-scm requirement in wheels)
+* :ghpull:`21820`: Drop setuptools-scm requirement in wheels
+* :ghpull:`21829`: Backport PR #21823 on branch v3.5.x (DOC: Misc rst syntax fixes)
+* :ghpull:`21823`: DOC: Misc rst syntax fixes
+* :ghpull:`21826`: Backport PR #21800 on branch v3.5.x (DOC: Update Basic Usage tutorial)
+* :ghpull:`21814`: Manual backport of #21794
+* :ghpull:`21812`: Backport #21641
+* :ghpull:`21810`: Backport PR #21743 on branch v3.5.x (Clarify Annotation arrowprops docs)
+* :ghpull:`21808`: Backport PR #21785 on branch v3.5.x (Fix ConciseDateFormatter offset during zoom)
+* :ghpull:`21807`: Backport PR #21791 on branch v3.5.x (Refix check for manager presence in deprecated blocking_input.)
+* :ghpull:`21806`: Backport PR #21663 on branch v3.5.x (Use standard subplot window in macosx backend)
+* :ghpull:`21785`: Fix ConciseDateFormatter offset during zoom
+* :ghpull:`21804`: Backport PR #21659 on branch v3.5.x (Fix PDF contents)
+* :ghpull:`21791`: Refix check for manager presence in deprecated blocking_input.
+* :ghpull:`21793`: Backport PR #21787 on branch v3.5.x (Fixes row/column mixup in GridSpec height_ratios documentation.)
+* :ghpull:`21787`: Fixes row/column mixup in GridSpec height_ratios documentation.
+* :ghpull:`21778`: Backport PR #21705 on branch v3.5.x (MNT: make print_figure kwarg wrapper support py311)
+* :ghpull:`21779`: Backport PR #21751 on branch v3.5.x (FIX: manual colorbars and tight layout)
+* :ghpull:`21777`: Backport PR #21758 on branch v3.5.x (FIX: Make sure a renderer gets attached to figure after draw)
+* :ghpull:`21751`: FIX: manual colorbars and tight layout
+* :ghpull:`21705`: MNT: make print_figure kwarg wrapper support py311
+* :ghpull:`21758`: FIX: Make sure a renderer gets attached to figure after draw
+* :ghpull:`21775`: Backport PR #21771 on branch v3.5.x (DOC: fix missing ref)
+* :ghpull:`21770`: Backport of PR #21631 on v3.5.x
+* :ghpull:`21765`: Backport PR #21741 on branch v3.5.x (Reduce do_3d_projection deprecation warnings in external artists)
+* :ghpull:`21764`: Backport PR #21762 on branch v3.5.x (FIX: align_x/ylabels)
+* :ghpull:`21741`: Reduce do_3d_projection deprecation warnings in external artists
+* :ghpull:`21762`: FIX: align_x/ylabels
+* :ghpull:`21759`: Backport PR #21757 on branch v3.5.x (Fix doc typo.)
+* :ghpull:`21704`: FIX: deprecation of render keyword to do_3d_projection
+* :ghpull:`21730`: Backport PR #21727 on branch v3.5.x (Doc fix colormap inaccuracy)
+* :ghpull:`21663`: Use standard subplot window in macosx backend
+* :ghpull:`21725`: Backport PR #21681 on branch v3.5.x (Bind subplot_tool more closely to target figure.)
+* :ghpull:`21665`: Include test notebooks in test package
+* :ghpull:`21721`: Backport PR #21720 on branch v3.5.x (Fix compiler configuration priority for FreeType build)
+* :ghpull:`21720`: Fix compiler configuration priority for FreeType build
+* :ghpull:`21715`: Backport PR #21714 on branch v3.5.x (DOC: note renaming of config.cfg.template to mplconfig.cfg.template)
+* :ghpull:`21706`: Backport PR #21703 on branch v3.5.x (Changed the link to the correct citing example)
+* :ghpull:`21691`: Backport PR #21686 on branch v3.5.x (FIX: colorbar for horizontal contours)
+* :ghpull:`21689`: Backport PR #21676 on branch v3.5.x (Fix boundary norm negative)
+* :ghpull:`21686`: FIX: colorbar for horizontal contours
+* :ghpull:`21681`: Bind subplot_tool more closely to target figure.
+* :ghpull:`21676`: Fix boundary norm negative
+* :ghpull:`21685`: Backport PR #21658 on branch v3.5.x (Validate that input to Poly3DCollection is a list of 2D array-like)
+* :ghpull:`21684`: Backport PR #21662 on branch v3.5.x (FIX: put newline in matplotlibrc when setting default backend)
+* :ghpull:`21658`: Validate that input to Poly3DCollection is a list of 2D array-like
+* :ghpull:`21662`: FIX: put newline in matplotlibrc when setting default backend
+* :ghpull:`21651`: Backport PR #21626 on branch v3.5.x (Added the definition of Deprecation and made Deprecation Process clearer)
+* :ghpull:`21626`: Added the definition of Deprecation and made Deprecation Process clearer
+* :ghpull:`21137`: Small cleanups to colorbar.
+
+Issues (29):
+
+* :ghissue:`21909`: [Bug]: Matplotlib is unable to apply the boundaries in the colorbar after updating to 3.5.0
+* :ghissue:`21654`: [Bug]: test_nbagg_01.ipynb not installed
+* :ghissue:`21885`: [Bug]: test decorator breaks with new pytest importlib mode
+* :ghissue:`21772`: [Bug]: cannot reset label of axis to center
+* :ghissue:`21669`: [Bug]: Matplotlib 3.5 breaks unyt integration of error bars
+* :ghissue:`21649`: [Bug]: Startpoints in streamplot fail on right and upper edges
+* :ghissue:`21870`: [Bug]: Colormap + NoNorm only plots one color under ``matplotlib`` 3.5.0
+* :ghissue:`21882`: [Bug]: Colorbar does not work for negative values with contour/contourf
+* :ghissue:`21803`: [Bug]: using ``set_offsets`` on scatter object raises TypeError
+* :ghissue:`21839`: [Bug]: Top of plot clipped when using Subfigures without suptitle
+* :ghissue:`21841`: [Bug]: Wrong tick labels and colorbar of discrete normalizer
+* :ghissue:`21783`: [MNT]: wheel of 3.5.0 apears to depend on setuptools-scm which apears to be unintentional
+* :ghissue:`21733`: [Bug]: Possible bug on arrows in annotation
+* :ghissue:`21749`: [Bug]: Regression on ``tight_layout`` when manually adding axes for colorbars
+* :ghissue:`19197`: Unexpected error after using Figure.canvas.draw on macosx backend
+* :ghissue:`13968`: ``ax.get_xaxis().get_minorticklabels()`` always returns list of empty strings
+* :ghissue:`7550`: Draw not caching with macosx backend
+* :ghissue:`21740`: [Bug]: unavoidable ``DeprecationWarning`` when using ``Patch3D``
+* :ghissue:`15884`: DOC: Error in colormap manipulation tutorial
+* :ghissue:`21648`: [Bug]: subplot parameter window appearing 1/4 size on macosx
+* :ghissue:`21702`: [Doc]: Wrong link to the ready-made citation entry
+* :ghissue:`21683`: [Bug]: add_lines broken for horizontal colorbars
+* :ghissue:`21680`: [MNT]: macosx subplot parameters multiple windows
+* :ghissue:`21679`: [MNT]: Close subplot_parameters window when main figure closes
+* :ghissue:`21671`: [Bug]: 3.5.0 colorbar ValueError: minvalue must be less than or equal to maxvalue
+* :ghissue:`21652`: [Bug]: ax.add_collection3d throws warning Mean of empty slice
+* :ghissue:`21660`: [Bug]: mplsetup.cfg parsing issue
+* :ghissue:`21668`: [Bug]: New plot directive error in 3.5.0
+* :ghissue:`21393`: [Doc]: describe deprecation process more explicitly
diff --git a/doc/users/prev_whats_new/github_stats_3.5.2.rst b/doc/users/prev_whats_new/github_stats_3.5.2.rst
new file mode 100644
index 000000000000..66f53d8e3672
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.5.2.rst
@@ -0,0 +1,335 @@
+.. _github-stats-3-5-2:
+
+GitHub statistics for 3.5.2 (May 02, 2022)
+==========================================
+
+GitHub statistics for 2021/12/11 (tag: v3.5.1) - 2022/05/02
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 61 issues and merged 222 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/69?closed=1>`__
+
+The following 30 authors contributed 319 commits.
+
+* Adeel Hassan
+* Aitik Gupta
+* Andrew Fennell
+* andrzejnovak
+* Antony Lee
+* Clément Phan
+* daniilS
+* David Poznik
+* David Stansby
+* dependabot[bot]
+* Edouard Berthe
+* Elliott Sales de Andrade
+* Greg Lucas
+* Hassan Kibirige
+* Jake VanderPlas
+* Jay Stanley
+* Jody Klymak
+* MAKOMO
+* Matthias Bussonnier
+* Niyas Sait
+* Oscar Gustafsson
+* Pieter P
+* Qijia Liu
+* Quentin Peter
+* Raphael Quast
+* richardsheridan
+* root
+* Steffen Rehberg
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (222):
+
+* :ghpull:`22963`: Backport PR #22957 on branch v3.5.x (fix "is" comparison for np.array)
+* :ghpull:`22951`: Backport PR #22946: FIX: Handle no-offsets in collection datalim
+* :ghpull:`22957`: fix "is" comparison for np.array
+* :ghpull:`22962`: Backport PR #22961 on branch v3.5.x (Raised macosx memory leak threshold)
+* :ghpull:`22961`: Raised macosx memory leak threshold
+* :ghpull:`22945`: FIX: Handle no-offsets in collection datalim
+* :ghpull:`22946`: FIX: Handle no-offsets in collection datalim (alternative)
+* :ghpull:`22944`: Backport PR #22907 on branch v3.5.x (Fix quad mesh cursor data)
+* :ghpull:`22943`: Backport PR #22923 on branch v3.5.x (Fixed _upcast_err docstring and comments in _axes.py)
+* :ghpull:`22907`: Fix quad mesh cursor data
+* :ghpull:`22923`: Fixed _upcast_err docstring and comments in _axes.py
+* :ghpull:`22876`: Backport PR #22560 on branch v3.5.x (Improve pandas/xarray/... conversion)
+* :ghpull:`22942`: Backport PR #22933 on branch v3.5.x (Adjusted wording in pull request guidelines)
+* :ghpull:`22941`: Backport PR #22898 on branch v3.5.x (Only set Tk scaling-on-map for Windows systems)
+* :ghpull:`22935`: Backport PR #22002: Fix TkAgg memory leaks and test for memory growth regressions
+* :ghpull:`22898`: Only set Tk scaling-on-map for Windows systems
+* :ghpull:`22933`: Adjusted wording in pull request guidelines
+* :ghpull:`22002`: Fix TkAgg memory leaks and test for memory growth regressions
+* :ghpull:`22924`: Fix gtk4 incorrect import.
+* :ghpull:`22922`: Backport PR #22904 on branch v3.5.x (Fixed typo in triage acknowledgment)
+* :ghpull:`22904`: Fixed typo in triage acknowledgment
+* :ghpull:`22890`: DOC: add ipykernel to list of optional dependencies
+* :ghpull:`22878`: Backport PR #22871 on branch v3.5.x (Fix year offset not always being added)
+* :ghpull:`22871`: Fix year offset not always being added
+* :ghpull:`22844`: Backport PR #22313 on branch v3.5.x (Fix colorbar exponents)
+* :ghpull:`22560`: Improve pandas/xarray/... conversion
+* :ghpull:`22846`: Backport PR #22284 on branch v3.5.x (Specify font number for TTC font subsetting)
+* :ghpull:`22284`: Specify font number for TTC font subsetting
+* :ghpull:`22845`: Backport PR #22199 on branch v3.5.x (DOC: git:// is deprecated.)
+* :ghpull:`22837`: Backport PR #22807 on branch v3.5.x (Replace quiver dpi callback with reinit-on-dpi-changed.)
+* :ghpull:`22838`: Backport PR #22806 on branch v3.5.x (FIX: callback for subfigure uses parent)
+* :ghpull:`22832`: Backport PR #22767 on branch v3.5.x (Fixed bug in find_nearest_contour)
+* :ghpull:`22767`: Fixed bug in find_nearest_contour
+* :ghpull:`22807`: Replace quiver dpi callback with reinit-on-dpi-changed.
+* :ghpull:`22806`: FIX: callback for subfigure uses parent
+* :ghpull:`22737`: Backport PR #22138: Fix clearing subfigures
+* :ghpull:`22735`: MNT: prefer Figure.clear() as canonical over Figure.clf()
+* :ghpull:`22783`: Backport PR #22732: FIX: maybe improve renderer dance
+* :ghpull:`22748`: Backport PR #22628 on branch v3.5.x (Add RuntimeWarning guard around division-by-zero)
+* :ghpull:`22732`: FIX: maybe improve renderer dance
+* :ghpull:`22764`: Backport PR #22756 on branch v3.5.x (Use system distutils instead of the setuptools copy)
+* :ghpull:`22780`: Backport PR #22766 on branch v3.5.x (FIX: account for constant deprecations in Pillow 9.1)
+* :ghpull:`22781`: Backport PR #22776 on branch v3.5.x (Fix colorbar stealing from a single axes and with panchor=False.)
+* :ghpull:`22782`: Backport PR #22774 on branch v3.5.x (Remove outdated doc for pie chart)
+* :ghpull:`22774`: Remove outdated doc for pie chart
+* :ghpull:`22776`: Fix colorbar stealing from a single axes and with panchor=False.
+* :ghpull:`22766`: FIX: account for deprecations of constant in Pillow 9.1
+* :ghpull:`22756`: Use system distutils instead of the setuptools copy
+* :ghpull:`22750`: Backport PR #22743: Fix configure_subplots with tool manager
+* :ghpull:`22743`: Fix configure_subplots with tool manager
+* :ghpull:`22628`: Add RuntimeWarning guard around division-by-zero
+* :ghpull:`22736`: Backport PR #22719 on branch v3.5.x (Fix incorrect deprecation warning)
+* :ghpull:`22719`: Fix incorrect deprecation warning
+* :ghpull:`22138`: Fix clearing subfigures
+* :ghpull:`22729`: Backport PR #22711 on branch v3.5.x (RangeSlider handle set_val bugfix)
+* :ghpull:`22711`: RangeSlider handle set_val bugfix
+* :ghpull:`22701`: Backport PR #22691 on branch v3.5.x (FIX: remove toggle on QuadMesh cursor data)
+* :ghpull:`22723`: Backport PR #22716 on branch v3.5.x (DOC: set canonical)
+* :ghpull:`22703`: Backport PR #22689 on branch v3.5.x (Fix path_effects to work on text with spaces only)
+* :ghpull:`22689`: Fix path_effects to work on text with spaces only
+* :ghpull:`22691`: FIX: remove toggle on QuadMesh cursor data
+* :ghpull:`22696`: Backport PR #22693 on branch v3.5.x (Remove QuadMesh from mouseover set.)
+* :ghpull:`22693`: Remove QuadMesh from mouseover set.
+* :ghpull:`22647`: Backport PR #22429 on branch v3.5.x (Enable windows/arm64 platform)
+* :ghpull:`22653`: Simplify FreeType version check to avoid packaging
+* :ghpull:`22646`: Manual backport of pr 22635 on v3.5.x
+* :ghpull:`22429`: Enable windows/arm64 platform
+* :ghpull:`22635`: FIX: Handle inverted colorbar axes with extensions
+* :ghpull:`22313`: Fix colorbar exponents
+* :ghpull:`22619`: Backport PR #22611 on branch v3.5.x (FIX: Colorbars check for subplotspec attribute before using)
+* :ghpull:`22618`: Backport PR #22617 on branch v3.5.x (Bump actions/checkout from 2 to 3)
+* :ghpull:`22611`: FIX: Colorbars check for subplotspec attribute before using
+* :ghpull:`22617`: Bump actions/checkout from 2 to 3
+* :ghpull:`22595`: Backport PR #22005: Further defer backend selection
+* :ghpull:`22602`: Backport PR #22596 on branch v3.5.x (Fix backend in matplotlibrc if unset in mplsetup.cfg)
+* :ghpull:`22596`: Fix backend in matplotlibrc if unset in mplsetup.cfg
+* :ghpull:`22597`: Backport PR #22594 on branch v3.5.x (FIX: do not pass dashes to collections in errorbar)
+* :ghpull:`22594`: FIX: do not pass dashes to collections in errorbar
+* :ghpull:`22593`: Backport PR #22559 on branch v3.5.x (fix: fill stairs should have lw=0 instead of edgecolor="none")
+* :ghpull:`22005`: Further defer backend selection
+* :ghpull:`22559`: fix: fill stairs should have lw=0 instead of edgecolor="none"
+* :ghpull:`22592`: Backport PR #22141 on branch v3.5.x (Fix check 1d)
+* :ghpull:`22141`: Fix check 1d
+* :ghpull:`22588`: Backport PR #22445 on branch v3.5.x (Fix loading tk on windows when current process has >1024 modules.)
+* :ghpull:`22445`: Fix loading tk on windows when current process has >1024 modules.
+* :ghpull:`22575`: Backport PR #22572 on branch v3.5.x (Fix issue with unhandled Done exception)
+* :ghpull:`22578`: Backport PR #22038 on branch v3.5.x (DOC: Include alternatives to deprecations in the documentation)
+* :ghpull:`22572`: Fix issue with unhandled Done exception
+* :ghpull:`22557`: Backport PR #22549 on branch v3.5.x (Really fix wheel building on CI)
+* :ghpull:`22549`: Really fix wheel building on CI
+* :ghpull:`22548`: Backport PR #22540 on branch v3.5.x (Reorder text api docs.)
+* :ghpull:`22540`: Reorder text api docs.
+* :ghpull:`22542`: Backport PR #22534 on branch v3.5.x (Fix issue with manual clabel)
+* :ghpull:`22534`: Fix issue with manual clabel
+* :ghpull:`22501`: Backport PR #22499 on branch v3.5.x (FIX: make the show API on webagg consistent with others)
+* :ghpull:`22499`: FIX: make the show API on webagg consistent with others
+* :ghpull:`22500`: Backport PR #22496 on branch v3.5.x (Fix units in quick start example)
+* :ghpull:`22496`: Fix units in quick start example
+* :ghpull:`22493`: Backport PR #22483 on branch v3.5.x (Tweak arrow demo size.)
+* :ghpull:`22492`: Backport PR #22476: FIX: Include (0, 0) offsets in scatter autoscaling
+* :ghpull:`22483`: Tweak arrow demo size.
+* :ghpull:`22476`: FIX: Include (0, 0) offsets in scatter autoscaling
+* :ghpull:`22481`: Backport PR #22479 on branch v3.5.x (adds _enum qualifier for QColorDialog.ShowAlphaChannel. Closes #22471.)
+* :ghpull:`22479`: adds _enum qualifier for QColorDialog.ShowAlphaChannel. Closes #22471.
+* :ghpull:`22475`: Backport PR #22474 on branch v3.5.x (Clarify secondary_axis documentation)
+* :ghpull:`22474`: Clarify secondary_axis documentation
+* :ghpull:`22462`: Backport PR #22458 on branch v3.5.x (Fix Radar Chart Gridlines for Non-Circular Charts)
+* :ghpull:`22456`: Backport PR #22375 on branch v3.5.x (Re-enable cibuildwheel on push)
+* :ghpull:`22375`: Re-enable cibuildwheel on push
+* :ghpull:`22443`: Backport PR #22442 on branch v3.5.x (CI: skip test to work around gs bug)
+* :ghpull:`22442`: CI: skip test to work around gs bug
+* :ghpull:`22441`: Backport PR #22434 on branch v3.5.x (DOC: imbalanced backticks.)
+* :ghpull:`22436`: Backport PR #22431 on branch v3.5.x (Update Scipy intersphinx inventory link)
+* :ghpull:`22438`: Backport PR #22430 on branch v3.5.x (fix method name in doc)
+* :ghpull:`22434`: DOC: imbalanced backticks.
+* :ghpull:`22426`: Backport PR #22398 on branch v3.5.x (Pin coverage to fix CI)
+* :ghpull:`22428`: Backport PR #22368 on branch v3.5.x (Pin dependencies to fix CI)
+* :ghpull:`22427`: Backport PR #22396 on branch v3.5.x (Clarify note in get_cmap())
+* :ghpull:`22396`: Clarify note in get_cmap()
+* :ghpull:`22398`: Pin coverage to fix CI
+* :ghpull:`22368`: Pin dependencies to fix CI
+* :ghpull:`22358`: Backport PR #22349 on branch v3.5.x (Use latex as the program name for kpsewhich)
+* :ghpull:`22349`: Use latex as the program name for kpsewhich
+* :ghpull:`22348`: Backport PR #22346 on branch v3.5.x (Remove invalid ``</input>`` tag in ``animation.HTMLWriter``)
+* :ghpull:`22346`: Remove invalid ``</input>`` tag in ``animation.HTMLWriter``
+* :ghpull:`22328`: Backport PR #22288 on branch v3.5.x (update documentation after #18966)
+* :ghpull:`22288`: update documentation after #18966
+* :ghpull:`22325`: Backport PR #22283: Fixed ``repr`` for ``SecondaryAxis``
+* :ghpull:`22322`: Backport PR #22077 on branch v3.5.x (Fix keyboard event routing in Tk backend (fixes #13484, #14081, and #22028))
+* :ghpull:`22321`: Backport PR #22290 on branch v3.5.x (Respect ``position`` and ``group`` argument in Tk toolmanager add_toolitem)
+* :ghpull:`22318`: Backport PR #22293 on branch v3.5.x (Modify example for x-axis tick labels at the top)
+* :ghpull:`22319`: Backport PR #22279 on branch v3.5.x (Remove Axes sublists from docs)
+* :ghpull:`22327`: Backport PR #22326 on branch v3.5.x (CI: ban coverage 6.3 that may be causing random hangs in fork test)
+* :ghpull:`22326`: CI: ban coverage 6.3 that may be causing random hangs in fork test
+* :ghpull:`22077`: Fix keyboard event routing in Tk backend (fixes #13484, #14081, and #22028)
+* :ghpull:`22290`: Respect ``position`` and ``group`` argument in Tk toolmanager add_toolitem
+* :ghpull:`22293`: Modify example for x-axis tick labels at the top
+* :ghpull:`22311`: Backport PR #22285 on branch v3.5.x (Don't warn on grid removal deprecation if grid is hidden)
+* :ghpull:`22310`: Backport PR #22294 on branch v3.5.x (Add set_cursor method to FigureCanvasTk)
+* :ghpull:`22285`: Don't warn on grid removal deprecation if grid is hidden
+* :ghpull:`22294`: Add set_cursor method to FigureCanvasTk
+* :ghpull:`22309`: Backport PR #22301 on branch v3.5.x (FIX: repositioning axes labels: use get_window_extent instead for spines.)
+* :ghpull:`22301`: FIX: repositioning axes labels: use get_window_extent instead for spines.
+* :ghpull:`22307`: Backport PR #22306 on branch v3.5.x (FIX: ensure that used sub-packages are actually imported)
+* :ghpull:`22306`: FIX: ensure that used sub-packages are actually imported
+* :ghpull:`22283`: Fixed ``repr`` for ``SecondaryAxis``
+* :ghpull:`22275`: Backport PR #22254 on branch v3.5.x (Disable QuadMesh cursor data by default)
+* :ghpull:`22254`: Disable QuadMesh cursor data by default
+* :ghpull:`22269`: Backport PR #22265 on branch v3.5.x (Fix Qt enum access.)
+* :ghpull:`22265`: Fix Qt enum access.
+* :ghpull:`22259`: Backport PR #22256 on branch v3.5.x (Skip tests on the -doc branches)
+* :ghpull:`22238`: Backport PR #22235 on branch v3.5.x (Run wheel builds on PRs when requested by a label)
+* :ghpull:`22241`: Revert "Backport PR #22179 on branch v3.5.x (FIX: macosx check case-insensitive app name)"
+* :ghpull:`22248`: Backport PR #22206 on branch v3.5.x (Improve formatting of "Anatomy of a figure")
+* :ghpull:`22235`: Run wheel builds on PRs when requested by a label
+* :ghpull:`22206`: Improve formatting of "Anatomy of a figure"
+* :ghpull:`22220`: Backport PR #21833: Enforce backport conditions on v*-doc branches
+* :ghpull:`22219`: Backport PR #22218 on branch v3.5.x (Fix typo in ``tutorials/intermediate/arranging_axes.py``)
+* :ghpull:`22218`: Fix typo in ``tutorials/intermediate/arranging_axes.py``
+* :ghpull:`22217`: Backport PR #22209 on branch v3.5.x (DOC: Document default join style)
+* :ghpull:`22209`: DOC: Document default join style
+* :ghpull:`22214`: Backport PR #22208 on branch v3.5.x (Stop sorting artists in Figure Options dialog)
+* :ghpull:`22215`: Backport PR #22177 on branch v3.5.x (Document ArtistList)
+* :ghpull:`22177`: Document ArtistList
+* :ghpull:`22208`: Stop sorting artists in Figure Options dialog
+* :ghpull:`22199`: DOC: git:// is deprecated.
+* :ghpull:`22210`: Backport PR #22202 on branch v3.5.x (PR: Fix merge of 18966)
+* :ghpull:`22202`: PR: Fix merge of 18966
+* :ghpull:`22201`: Backport PR #22053 on branch v3.5.x (DOC: Document default cap styles)
+* :ghpull:`22053`: DOC: Document default cap styles
+* :ghpull:`22195`: Backport PR #22179 on branch v3.5.x (FIX: macosx check case-insensitive app name)
+* :ghpull:`22192`: Backport PR #22190 on branch v3.5.x (DOC: Fix upstream URL for merge in CircleCI)
+* :ghpull:`22188`: Backport PR #22187 on branch v3.5.x (Fix typo in ``axhline`` docstring)
+* :ghpull:`22187`: Fix typo in ``axhline`` docstring
+* :ghpull:`22185`: Backport PR #22184 on branch v3.5.x (Removed dev from 3.10-version)
+* :ghpull:`22186`: Backport PR #21943 on branch v3.5.x (DOC: explain too many ticks)
+* :ghpull:`21943`: DOC: explain too many ticks
+* :ghpull:`22184`: Removed dev from 3.10-version
+* :ghpull:`22168`: Backport PR #22144 on branch v3.5.x (Fix cl subgridspec)
+* :ghpull:`22144`: Fix cl subgridspec
+* :ghpull:`22155`: Backport PR #22082 on branch v3.5.x (Update both zoom/pan states on wx when triggering from keyboard.)
+* :ghpull:`22082`: Update both zoom/pan states on wx when triggering from keyboard.
+* :ghpull:`22153`: Backport PR #22147 on branch v3.5.x (Fix loading user-defined icons for Tk toolbar)
+* :ghpull:`22152`: Backport PR #22135 on branch v3.5.x (Fix loading user-defined icons for Qt plot window)
+* :ghpull:`22151`: Backport PR #22078 on branch v3.5.x (Prevent tooltips from overlapping buttons in NavigationToolbar2Tk (fixes issue mentioned in #22028))
+* :ghpull:`22135`: Fix loading user-defined icons for Qt plot window
+* :ghpull:`22078`: Prevent tooltips from overlapping buttons in NavigationToolbar2Tk (fixes issue mentioned in #22028)
+* :ghpull:`22147`: Fix loading user-defined icons for Tk toolbar
+* :ghpull:`22136`: Backport PR #22132 on branch v3.5.x (TST: Increase fp tolerances for some images)
+* :ghpull:`22132`: TST: Increase fp tolerances for some images
+* :ghpull:`22121`: Backport PR #22116 on branch v3.5.x (FIX: there is no add_text method, fallback to add_artist)
+* :ghpull:`22117`: Backport PR #21860 on branch v3.5.x (DOC: Update style sheet reference)
+* :ghpull:`22116`: FIX: there is no add_text method, fallback to add_artist
+* :ghpull:`22038`: DOC: Include alternatives to deprecations in the documentation
+* :ghpull:`22074`: Backport PR #22066 on branch v3.5.x (FIX: Remove trailing zeros from offset significand)
+* :ghpull:`22106`: Backport PR #22089: FIX: squash memory leak in colorbar
+* :ghpull:`22089`: FIX: squash memory leak in colorbar
+* :ghpull:`22101`: Backport PR #22099 on branch v3.5.x (CI: Disable numpy avx512 instructions)
+* :ghpull:`22099`: CI: Disable numpy avx512 instructions
+* :ghpull:`22095`: Backport PR #22083 on branch v3.5.x (Fix reference to Matplotlib FAQ in doc/index.rst)
+* :ghpull:`22066`: FIX: Remove trailing zeros from offset significand
+* :ghpull:`22072`: Backport PR #22071 on branch v3.5.x (Fix a small typo in docstring ("loation" --> "location"))
+* :ghpull:`22071`: Fix a small typo in docstring ("loation" --> "location")
+* :ghpull:`22070`: Backport PR #22069 on branch v3.5.x ([Doc] Fix typo in ``units.py`` documentation example)
+* :ghpull:`22069`: [Doc] Fix typo in ``units.py`` documentation example
+* :ghpull:`22067`: Backport PR #22064 on branch v3.5.x (DOC: Clarify y parameter in Axes.set_title)
+* :ghpull:`22064`: DOC: Clarify y parameter in Axes.set_title
+* :ghpull:`22049`: Backport PR #22048 on branch v3.5.x (Document how to prevent TeX from treating ``&``, ``#`` as special.)
+* :ghpull:`22048`: Document how to prevent TeX from treating ``&``, ``#`` as special.
+* :ghpull:`22047`: Backport PR #22044 on branch v3.5.x (Get correct source code link for decorated functions)
+* :ghpull:`22044`: Get correct source code link for decorated functions
+* :ghpull:`22024`: Backport PR #22009 on branch v3.5.x (FIX: Prevent set_alpha from changing color of legend patch)
+* :ghpull:`22009`: FIX: Prevent set_alpha from changing color of legend patch
+* :ghpull:`22019`: Backport PR #22018 on branch v3.5.x (BUG: fix handling of zero-dimensional arrays in cbook._reshape_2D)
+* :ghpull:`22018`: BUG: fix handling of zero-dimensional arrays in cbook._reshape_2D
+* :ghpull:`21996`: Backport PR #21990 on branch v3.5.x (Fix rubberbanding on wx+py3.10.)
+* :ghpull:`21990`: Fix rubberbanding on wx+py3.10.
+* :ghpull:`21987`: Backport PR #21862 on branch v3.5.x (DOC: Simplify markevery demo)
+* :ghpull:`21969`: Backport PR #21948 on branch v3.5.x (Distinguish AbstractMovieWriter and MovieWriter in docs.)
+* :ghpull:`21948`: Distinguish AbstractMovieWriter and MovieWriter in docs.
+* :ghpull:`21953`: Backport PR #21946 on branch v3.5.x (DOC: fix interactive to not put Event Handling and Interactive Guide …)
+* :ghpull:`21946`: DOC: fix interactive to not put Event Handling and Interactive Guide …
+
+Issues (61):
+
+* :ghissue:`22954`: [Doc]: v3.5.1 github stats are missing
+* :ghissue:`22959`: [MNT]: macos-latest memory leak over threshold
+* :ghissue:`22921`: [Bug]: Regression in animation from #22175
+* :ghissue:`22908`: [Bug]: QuadMesh get_cursor_data errors if no array is set
+* :ghissue:`21901`: Suggested clarification of comments in errorbar helpers
+* :ghissue:`22932`: [Doc]: small edits to the Pull request guidelines
+* :ghissue:`22858`: [Bug]: FigureCanvasTkAgg call creates memory leak
+* :ghissue:`20490`: Memory leaks on matplotlib 3.4.2 (and 3.4.0)
+* :ghissue:`22900`: [Doc]:  Typo in triage acknowledgment
+* :ghissue:`22341`: [Bug]: GridSpec or related change between 3.4.3 and 3.5.1
+* :ghissue:`22472`: [Bug]: ConciseDateFormatter not showing year anywhere when plotting <12 months
+* :ghissue:`22874`: [Bug]: Textbox doesn't accept input
+* :ghissue:`21893`: [Bug]: ``backend_pdf`` gives ``TTLibError`` with ``pdf.fonttype : 42``
+* :ghissue:`22840`: [Bug]: Blank output EPS file when using latex and figure.autolayout = True
+* :ghissue:`22762`: [Bug]: Issue with find_nearest_contour in contour.py
+* :ghissue:`22823`: [Bug]: Changing Linestyle in plot window swaps some plotted lines
+* :ghissue:`22804`: [Bug]: Quiver not working with subfigure?
+* :ghissue:`22673`: [Bug]: tight_layout (version 3.5+)
+* :ghissue:`21930`: [Bug]: EPS savefig messed up by 'figure.autolayout' rcParam on 3.5.0
+* :ghissue:`22753`: windows CI broken on azure
+* :ghissue:`22088`: [Bug]: Tool Manager example broken
+* :ghissue:`22624`: [Bug]: invalid value encountered with 'ortho' projection mode
+* :ghissue:`22640`: [Bug]: Confusing deprecation warning when empty data passed to axis with category units
+* :ghissue:`22137`: [Bug]: Cannot clear figure of subfigures
+* :ghissue:`22706`: [Bug]: RangeSlider.set_val does not move the slider (only poly and value)
+* :ghissue:`22727`: MAtplolib pan and zoom dead slow on new PC
+* :ghissue:`22687`: [Bug]: Empty text or text with a newline at either end + path_effects crashes
+* :ghissue:`22694`: Revert set_show_cursor_data
+* :ghissue:`22520`: [Bug]: Slow lasso selector over QuadMesh collection
+* :ghissue:`22648`: Add packaging to setup_requires?
+* :ghissue:`22052`: [Bug]: invert_yaxis function cannot invert the "over value" in colorbar axes
+* :ghissue:`22576`: [Bug]: ``inset_axes`` colorbar + ``tight_layout`` raises ``AttributeError``
+* :ghissue:`22590`: [Bug]: ValueError: Do not know how to convert "list" to dashes; when using axes errorbar.
+* :ghissue:`21998`: [Bug]: Working with PyQt5, the different import order will make different result.
+* :ghissue:`22330`: [Bug]: possible regression with pandas 1.4 with plt.plot when using a single column dataframe as the x argument
+* :ghissue:`22125`: [Bug]: ``plt.plot`` thinks ``pandas.Series`` is 2-dimensional when nullable data type is used
+* :ghissue:`22378`: [Bug]: TkAgg fails to find Tcl/Tk libraries in Windows for processes with a large number of modules loaded
+* :ghissue:`22577`: [Bug]: Erroneous deprecation warning help message
+* :ghissue:`21798`: [Bug]: Unhandled _get_renderer.Done exception in wxagg backend
+* :ghissue:`22532`: [Issue]: Manually placing contour labels using ``clabel`` not working
+* :ghissue:`22470`: [Bug]: Subsequent scatter plots work incorrectly
+* :ghissue:`22471`: [Bug]: formlayout fails on PyQt6 due to the unqualified enum ShowAlphaChannel in class ColorButton
+* :ghissue:`22473`: [Bug]: Secondary axis does not accept python builtins for transform
+* :ghissue:`22384`: [Bug]: Curve styles gets mixed up when edited in the Curves Tab of Figure Options (Edit Axis)
+* :ghissue:`22028`: [Bug]: mpl with py3.10.1 - Interactive figures - Constrain pan/zoom to x/y axis not work
+* :ghissue:`13484`: Matplotlib keymap stop working after pressing tab
+* :ghissue:`20130`: tk toolmanager add_toolitem fails to add tool to group other than the last one
+* :ghissue:`21723`: [Bug]: Some styles trigger pcolormesh grid deprecation
+* :ghissue:`22300`: [Bug]: Saving a fig with a colorbar using a ``TwoSlopeNorm`` sometimes results in 'posx and posy should be finite values'
+* :ghissue:`22305`: [Bug]: Import Error in Matplotlib 3.5.1
+* :ghissue:`21917`: [Bug]: pcolormesh is not responsive in Matplotlib 3.5
+* :ghissue:`22094`: [Doc]: No documentation on ArtistList
+* :ghissue:`21979`: [Doc]: Clarify default capstyle
+* :ghissue:`22143`: [Bug]: ``constrained_layout`` merging similar subgrids
+* :ghissue:`22131`: [Bug]: png icon image fails to load for manually defined tool buttons
+* :ghissue:`22093`: [Bug]: AttributeError: 'AxesSubplot' object has no attribute 'add_text'
+* :ghissue:`22085`: [Bug]: Memory leak with colorbar.make_axes
+* :ghissue:`22065`: [Bug]: Additive offset with trailing zeros
+* :ghissue:`15493`: common_texification misses & (ampersand)
+* :ghissue:`22039`: [Doc]: [source] link for deprecated functions leads to _api/deprecation.py
+* :ghissue:`22016`: [Bug]: matplotlib 3.3 changed how plt.hist handles iterables of zero-dimensional arrays.
diff --git a/doc/users/prev_whats_new/github_stats_3.5.3.rst b/doc/users/prev_whats_new/github_stats_3.5.3.rst
new file mode 100644
index 000000000000..bafd6d5c27eb
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.5.3.rst
@@ -0,0 +1,127 @@
+.. _github-stats-3-5-3:
+
+GitHub statistics for 3.5.3 (Aug 10, 2022)
+==========================================
+
+GitHub statistics for 2022/05/03 (tag: v3.5.2) - 2022/08/10
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 19 issues and merged 66 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/71?closed=1>`__
+
+The following 20 authors contributed 99 commits.
+
+* Antony Lee
+* Biswapriyo Nath
+* David Gilbertson
+* DWesl
+* Elliott Sales de Andrade
+* GavinZhang
+* Greg Lucas
+* Jody Klymak
+* Kayran Schmidt
+* Matthew Feickert
+* Nickolaos Giannatos
+* Oscar Gustafsson
+* Ruth Comer
+* SaumyaBhushan
+* Scott Jones
+* Scott Shambaugh
+* tfpf
+* Thomas A Caswell
+* Tim Hoffmann
+* wsykala
+
+GitHub issues and pull requests:
+
+Pull Requests (66):
+
+* :ghpull:`23591`: Backport PR #23549 on branch v3.5.x (Don't clip colorbar dividers)
+* :ghpull:`23593`: STY: Fix whitespace error from new flake8
+* :ghpull:`23549`: Don't clip colorbar dividers
+* :ghpull:`23528`: Backport PR #23523 on branch v3.5.x (TST: Update Quantity test class)
+* :ghpull:`23523`: TST: Update Quantity test class
+* :ghpull:`23508`: Add explicit registration of units in examples
+* :ghpull:`23515`: Backport PR #23462: Fix AttributeError for pickle load of Figure class
+* :ghpull:`23518`: Backport PR #23514 on branch v3.5.x (Fix doc build)
+* :ghpull:`23517`: Backport PR #23511 on branch v3.5.x (supporting IBM i OS)
+* :ghpull:`23511`: supporting IBM i OS
+* :ghpull:`23462`: Fix AttributeError for pickle load of Figure class
+* :ghpull:`23488`: Backport PR #23066 on branch v3.5.x (BLD: Define PyErr_SetFromWindowsErr on Cygwin.)
+* :ghpull:`23066`: BLD: Define PyErr_SetFromWindowsErr on Cygwin.
+* :ghpull:`23479`: Pin setuptools_scm on v3.5.x
+* :ghpull:`22998`: Backport PR #22987 on branch v3.5.x (CI: bump test limit from tkagg on osx)
+* :ghpull:`23478`: Backport PR #23476: FIX: reset to original DPI in getstate
+* :ghpull:`23476`: FIX: reset to original DPI in getstate
+* :ghpull:`23458`: Backport PR #23445 on branch v3.5.x (Compare thread native ids when checking whether running on main thread.)
+* :ghpull:`23440`: Backport PR #23430 on branch v3.5.x (Fix divide by 0 runtime warning)
+* :ghpull:`23430`: Fix divide by 0 runtime warning
+* :ghpull:`23344`: Backport PR #23333: Fix errorbar handling of nan.
+* :ghpull:`23333`: Fix errorbar handling of nan.
+* :ghpull:`23338`: Backport PR #23278: Remove internal use of get/set dpi
+* :ghpull:`23331`: Backport PR #22835 on branch v3.5.x (Fix BoundaryNorm cursor data output)
+* :ghpull:`22835`: Fix BoundaryNorm cursor data output
+* :ghpull:`23292`: Backport PR #23232 on branch v3.5.x (Fix passing stem markerfmt positionally when locs are not given)
+* :ghpull:`23275`: Backport PR #23260 on branch v3.5.x (Fix Colorbar extend patches to have correct alpha)
+* :ghpull:`23312`: Pin to an older pydata-sphinx-theme for v3.5.x
+* :ghpull:`23278`: Remove internal use of get/set dpi
+* :ghpull:`23232`: Fix passing stem markerfmt positionally when locs are not given
+* :ghpull:`22865`: Fix issue with colorbar extend and drawedges
+* :ghpull:`23260`: Fix Colorbar extend patches to have correct alpha
+* :ghpull:`23245`: Backport PR #23144 on branch v3.5.x (Only import setuptools_scm when we are in a matplotlib git repo)
+* :ghpull:`23144`: Only import setuptools_scm when we are in a matplotlib git repo
+* :ghpull:`23242`: Backport PR #23203 on branch v3.5.x (Honour ``panchor`` keyword for colorbar on subplot)
+* :ghpull:`23203`: Honour ``panchor`` keyword for colorbar on subplot
+* :ghpull:`23228`: Backport PR #23209 on branch v3.5.x (Fix the vertical alignment of overunder symbols.)
+* :ghpull:`23209`: Fix the vertical alignment of overunder symbols.
+* :ghpull:`23184`: Backport PR #23174: Make sure SubFigure has _cachedRenderer
+* :ghpull:`23194`: Backport PR #23095: Try to unbreak CI by xfailing OSX Tk tests
+* :ghpull:`23113`: Backport PR #23057 and #23106
+* :ghpull:`23185`: Backport PR #23168 on branch v3.5.x (Corrected docstring for artist.Artist.set_agg_filter)
+* :ghpull:`23168`: Corrected docstring for artist.Artist.set_agg_filter
+* :ghpull:`23174`: Make sure SubFigure has _cachedRenderer
+* :ghpull:`23110`: Tweak subprocess_run_helper.
+* :ghpull:`23138`: Backport PR #23137 on branch v3.5.x (DOC fix typo)
+* :ghpull:`23137`: DOC fix typo
+* :ghpull:`23125`: Backport PR #23122 on branch v3.5.x (Remove redundant rcparam default)
+* :ghpull:`23120`: Backport PR #23115 on branch v3.5.x (DOC fixed duplicate/wrong default)
+* :ghpull:`23095`: Try to unbreak CI by xfailing OSX Tk tests
+* :ghpull:`23106`: Reuse subprocess_run_helper in test_pylab_integration.
+* :ghpull:`23112`: Backport PR #23111 on branch v3.5.x (Fix _g_sig_digits for value<0 and delta=0.)
+* :ghpull:`23111`: Fix _g_sig_digits for value<0 and delta=0.
+* :ghpull:`23057`: FIX: ensure switching the backend installs repl hook
+* :ghpull:`23075`: Backport PR #23069 on branch v3.5.x (TST: forgive more failures on pyside2 / pyside6 cross imports)
+* :ghpull:`23069`: TST: forgive more failures on pyside2 / pyside6 cross imports
+* :ghpull:`22981`: Backport PR #22979 on branch v3.5.x (Skip additional backend tests on import error)
+* :ghpull:`23064`: Backport PR #22975 on branch v3.5.x (MNT: fix __array__ to numpy)
+* :ghpull:`22975`: MNT: fix __array__ to numpy
+* :ghpull:`23058`: Backport PR #23051 on branch v3.5.x (Fix variable initialization due to jump bypassing it)
+* :ghpull:`23051`: Fix variable initialization due to jump bypassing it
+* :ghpull:`23010`: Backport PR #23000 on branch v3.5.x (Additional details on VS install on installation page)
+* :ghpull:`22995`: Backport PR #22994 on branch v3.5.x (Docs: ignore >>> on code prompts on documentation prompts)
+* :ghpull:`23001`: CI: Add trivial pre-commit.ci config to avoid CI failure
+* :ghpull:`22987`: CI: bump test limit from tkagg on osx
+* :ghpull:`22979`: Skip additional backend tests on import error
+
+Issues (19):
+
+* :ghissue:`22864`: [Bug]: Colorbar with drawedges=True and extend='both' does not draw edges at extremities
+* :ghissue:`23382`: [TST] Upcoming dependency test failures
+* :ghissue:`23470`: [Bug]: fig.canvas.mpl_connect in 3.5.2 not registering events in jupyter lab unless using widget pan or zoom controls
+* :ghissue:`22997`: [Bug]: Cygwin build fails due to use of Windows-only functions in _tkagg.cpp
+* :ghissue:`23471`: [Bug]: DPI of a figure is doubled after unpickling on M1 Mac
+* :ghissue:`23050`: [Doc]: Docstring for artist.Artist.set_agg_filter is incorrect
+* :ghissue:`23307`: [Bug]: PEX warns about missing ``setuptools`` from ``install_requires`` in matplotlib
+* :ghissue:`23330`: [Bug]: Missing values cause exception in errorbar plot
+* :ghissue:`21915`: [Bug]: scalar mappable format_cursor_data crashes on BoundarNorm
+* :ghissue:`22970`: [Bug]: Colorbar extend patches do not have correct alpha
+* :ghissue:`23114`: [Bug]: matplotlib __init__.py checks for .git folder 2 levels up, then errors due to setup tools_scm
+* :ghissue:`23157`: [Bug]: colorbar ignores keyword panchor=False
+* :ghissue:`23229`: [Bug]: matplotlib==3.5.2 breaks ipywidgets
+* :ghissue:`18085`: vertical alignment of \sum depends on the presence of subscripts and superscripts
+* :ghissue:`23173`: [Bug]: Crash when adding clabels to subfigures
+* :ghissue:`23108`: [Bug]: Imshow with all negative values leads to math domain errors.
+* :ghissue:`23042`: [Bug]: Figures fail to redraw with IPython
+* :ghissue:`23004`: [Bug]: test failure of test_cross_Qt_imports in 3.5.2
+* :ghissue:`22973`: [Bug]: v3.5.2 causing plot to crash when plotting object with ``__array__`` method
diff --git a/doc/users/prev_whats_new/github_stats_3.6.0.rst b/doc/users/prev_whats_new/github_stats_3.6.0.rst
new file mode 100644
index 000000000000..6764c7817741
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.6.0.rst
@@ -0,0 +1,1292 @@
+.. _github-stats-3-6-0:
+
+GitHub statistics for 3.6.0 (Sep 15, 2022)
+==========================================
+
+GitHub statistics for 2021/11/16 (tag: v3.5.0) - 2022/09/15
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 202 issues and merged 894 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/65?closed=1>`__
+
+The following 174 authors contributed 4425 commits.
+
+* Abhishek K M
+* Adeel Hassan
+* agra
+* Aitik Gupta
+* ambi7
+* Andras Deak
+* Andres Martinez
+* Andrew Fennell
+* andrzejnovak
+* Andrés Martínez
+* Anna Mastori
+* AnnaMastori
+* Ante Sikic
+* Antony Lee
+* arndRemy
+* Ben Root
+* Biswapriyo Nath
+* cavesdev
+* Clément Phan
+* Clément Walter
+* code-review-doctor
+* Connor Cozad
+* Constantine Evans
+* Croadden
+* daniilS
+* Danilo Palumbo
+* David Gilbertson
+* David Ketcheson
+* David Matos
+* David Poznik
+* David Stansby
+* Davide Sandonà
+* dependabot[bot]
+* dermasugita
+* Diego Solano
+* Dimitri Papadopoulos
+* dj4t9n
+* Dmitriy Fishman
+* DWesl
+* Edouard Berthe
+* eindH
+* Elliott Sales de Andrade
+* Eric Firing
+* Eric Larson
+* Eric Prestat
+* Federico Ariza
+* Felix Nößler
+* Fernando
+* Gajendra Pal
+* gajendra0180
+* GavinZhang
+* Greg Lucas
+* hannah
+* Hansin Ahuja
+* Harshal Prakash Patankar
+* Hassan Kibirige
+* Haziq Khurshid
+* Henry
+* henrybeUM
+* Hood
+* Hood Chatham
+* Ian Hunt-Isaak
+* Ian Thomas
+* igurin-invn
+* ikhebgeenaccount
+* Isha Mehta
+* Jake Bowhay
+* Jake Li
+* Jake Lishman
+* Jake VanderPlas
+* Jakub Klus
+* James Tocknell
+* Jan-Hendrik Müller
+* Jay Joshi
+* Jay Stanley
+* jayjoshi112711
+* Jeff Beck
+* Jody Klymak
+* Joel Frederico
+* Joseph Fox-Rabinovitz
+* Josh Soref
+* Jouni K. Seppänen
+* Kayran Schmidt
+* kdpenner
+* Kian Eliasi
+* Kinshuk Dua
+* kislovskiy
+* KIU Shueng Chuan
+* kjain
+* kolibril13
+* krassowski
+* Krish-sysadmin
+* Leeh Peter
+* lgfunderburk
+* Liam Toney
+* Lucas Ricci
+* Luke Davis
+* luz paz
+* mackopes
+* MAKOMO
+* MalikIdreesHasa
+* Marcin Swaltek
+* Mario
+* Mario Sergio Valdés Tresanco
+* martinRenou
+* Matthew Feickert
+* Matthias Bussonnier
+* Mauricio Collares
+* MeeseeksMachine
+* melissawm
+* Mr-Milk
+* Navid C. Constantinou
+* Nickolaos Giannatos
+* Nicolas P. Rougier
+* Niyas Sait
+* noatamir
+* ojeda-e
+* Olivier Gauthé
+* Oscar Gustafsson
+* patquem
+* Philipp Rohde
+* Pieter Eendebak
+* Pieter P
+* Péter Leéh
+* Qijia Liu
+* Quentin Peter
+* Raphael Quast
+* rditlar9
+* Richard Penney
+* richardsheridan
+* Rike-Benjamin Schuppner
+* Robert Cimrman
+* Roberto Toro
+* root
+* Ruth Comer
+* Ruth G. N
+* Ruth Nainggolan
+* Ryan May
+* Rémi Achard
+* SaumyaBhushan
+* Scott Jones
+* Scott Shambaugh
+* selormtamakloe
+* Simon Hoxbro
+* skywateryang
+* Stefanie Molin
+* Steffen Rehberg
+* stone
+* Sven Eschlbeck
+* sveneschlbeck
+* takimata
+* tfpf
+* Thomas A Caswell
+* Tim Hoffmann
+* Tobias Megies
+* Tomas Hrnciar
+* Tomasz Kuliński
+* trichter
+* unknown
+* Uwe Hubert
+* vfdev-5
+* Vishal Chandratreya
+* Vishal Pankaj Chandratreya
+* Vishnu V K
+* vk0812
+* Vlad Korolev
+* Will Qian
+* William Qian
+* wqh17101
+* wsykala
+* yaaun
+* Yannic Schroeder
+* yuanx749
+* 渡邉 美希
+
+GitHub issues and pull requests:
+
+Pull Requests (894):
+
+* :ghpull:`23814`: Consolidate release notes for 3.6
+* :ghpull:`23899`: Backport PR #23885 on branch v3.6.x (DOC: Rearrange navbar-end elements)
+* :ghpull:`23898`: Backport PR #23892 on branch v3.6.x (DOC: Fix docs for linestyles in contour)
+* :ghpull:`23885`: DOC: Rearrange navbar-end elements
+* :ghpull:`23894`: Backport PR #23881 on branch v3.6.x (Fix Pillow compatibility in example)
+* :ghpull:`23897`: Backport PR #23887 on branch v3.6.x (Add missing label argument to barh docs)
+* :ghpull:`23892`: DOC: Fix docs for linestyles in contour
+* :ghpull:`23887`: Add missing label argument to barh docs
+* :ghpull:`23893`: Backport PR #23886 on branch v3.6.x (CI: prefer (older) binaries over (newer) sdists)
+* :ghpull:`23881`: Fix Pillow compatibility in example
+* :ghpull:`23886`: CI: prefer (older) binaries over (newer) sdists
+* :ghpull:`23880`: Backport PR #23862 on branch v3.6.x (Remove triggering of deprecation warning in AnchoredEllipse)
+* :ghpull:`23862`: Remove triggering of deprecation warning in AnchoredEllipse
+* :ghpull:`23879`: Backport PR #23864 on branch v3.6.x (Correct and improve documentation for anchored artists)
+* :ghpull:`23877`: Backport PR #23841 on branch v3.6.x (clarified that hist computes histogram on unbinned data)
+* :ghpull:`23872`: Backport PR #23871 on branch v3.6.x (DOC: Fix formatting of pick event demo example)
+* :ghpull:`23841`: clarified that hist computes histogram on unbinned data
+* :ghpull:`23864`: Correct and improve documentation for anchored artists
+* :ghpull:`23871`: DOC: Fix formatting of pick event demo example
+* :ghpull:`23869`: Backport PR #23867 on branch v3.6.x (DOC: fix deprecation warnings in examples)
+* :ghpull:`23867`: DOC: fix deprecation warnings in examples
+* :ghpull:`23858`: Backport PR #23855 on branch v3.6.x (DOC: fix deprecation warnings)
+* :ghpull:`23859`: Backport PR #23844 on branch v3.6.x (Further improve dev setup instructions)
+* :ghpull:`23844`: Further improve dev setup instructions
+* :ghpull:`23855`: DOC: fix deprecation warnings
+* :ghpull:`23854`: Backport PR #23852 on branch v3.6.x (Fix cross-compiling internal freetype)
+* :ghpull:`23852`: Fix cross-compiling internal freetype
+* :ghpull:`23853`: Backport PR #23830 on branch v3.6.x (Start testing on Python 3.11)
+* :ghpull:`23830`: Start testing on Python 3.11
+* :ghpull:`23851`: Backport PR #23850 on branch v3.6.x (removed single word in documenting doc)
+* :ghpull:`23850`: removed single word in documenting doc
+* :ghpull:`23848`: Backport PR #23843 on branch v3.6.x (Clarify that pycairo>=1.14.0 is needed.)
+* :ghpull:`23843`: Clarify that pycairo>=1.14.0 is needed.
+* :ghpull:`23842`: Backport PR #23840 on branch v3.6.x (Remove documentation for axes_grid)
+* :ghpull:`23838`: Backport PR #23834 on branch v3.6.x (Revert "Refactor handling of tick and ticklabel visibility in Axis.clear")
+* :ghpull:`23840`: Remove documentation for axes_grid
+* :ghpull:`23837`: Backport PR #23833 on branch v3.6.x (Remove search field from sidebar)
+* :ghpull:`23836`: Backport PR #23823 on branch v3.6.x ([DOC] Improve dev setup description)
+* :ghpull:`23834`: Revert "Refactor handling of tick and ticklabel visibility in Axis.clear"
+* :ghpull:`23833`: Remove search field from sidebar
+* :ghpull:`23823`: [DOC] Improve dev setup description
+* :ghpull:`23822`: Backport PR #23813 on branch v3.6.x (Triplot duplicated label)
+* :ghpull:`23813`: Triplot duplicated label
+* :ghpull:`23811`: Backport PR #23805 on branch v3.6.x (sphinxext: Do not copy plot_directive.css's metadata)
+* :ghpull:`23805`: sphinxext: Do not copy plot_directive.css's metadata
+* :ghpull:`23800`: Backport PR #23785 on branch v3.6.x (FIX: ensure type stability for missing cmaps in ``set_cmap``)
+* :ghpull:`23799`: Backport PR #23790 on branch v3.6.x (DOC: Add cache busting to all static assets)
+* :ghpull:`23785`: FIX: ensure type stability for missing cmaps in ``set_cmap``
+* :ghpull:`23790`: DOC: Add cache busting to all static assets
+* :ghpull:`23791`: Backport PR #23774 on branch v3.6.x (Correct rcParams-name in AutoDateFormatter doc-string)
+* :ghpull:`23792`: Backport PR #23781 on branch v3.6.x (ci: Add plot types to sphinx-gallery artifacts)
+* :ghpull:`23789`: Backport PR #23786 on branch v3.6.x (DOC: fontfallback works for most of the backends)
+* :ghpull:`23788`: Backport PR #23784 on branch v3.6.x (DOC: Fix num2date docstring)
+* :ghpull:`23786`: DOC: fontfallback works for most of the backends
+* :ghpull:`23784`: DOC: Fix num2date docstring
+* :ghpull:`23781`: ci: Add plot types to sphinx-gallery artifacts
+* :ghpull:`23783`: Backport PR #23782 on branch v3.6.x (Remove ``Axes.cla`` from examples)
+* :ghpull:`23782`: Remove ``Axes.cla`` from examples
+* :ghpull:`23774`: Correct rcParams-name in AutoDateFormatter doc-string
+* :ghpull:`23773`: Backport PR #23772 on branch v3.6.x (3d plots what's new cleanups)
+* :ghpull:`23772`: 3d plots what's new cleanups
+* :ghpull:`23765`: Backport PR #23762 on branch v3.6.x (FIX: legend handler warning too liberal)
+* :ghpull:`23762`: FIX: legend handler warning too liberal
+* :ghpull:`23759`: Backport PR #23686 on branch v3.6.x (Improve matplotlib.pyplot importtime by caching ArtistInspector)
+* :ghpull:`23686`: Improve matplotlib.pyplot importtime by caching ArtistInspector
+* :ghpull:`23756`: Backport PR #23569 on branch v3.6.x (Fix hidden xlabel bug in colorbar)
+* :ghpull:`23755`: Backport PR #23742 on branch v3.6.x (FIX: unbreak ipympl)
+* :ghpull:`23569`: Fix hidden xlabel bug in colorbar
+* :ghpull:`23742`: FIX: unbreak ipympl
+* :ghpull:`23752`: Backport PR #23750 on branch v3.6.x (Fix rcParams documentation)
+* :ghpull:`23749`: Backport PR #23735 on branch v3.6.x (Correctly handle Axes subclasses that override cla)
+* :ghpull:`23735`: Correctly handle Axes subclasses that override cla
+* :ghpull:`23748`: Backport PR #23746 on branch v3.6.x (DOC: add numpydoc docstring + commentary to Axis.get_ticklocs)
+* :ghpull:`23747`: Backport PR #23721 on branch v3.6.x (3d plot view angle documentation)
+* :ghpull:`23746`: DOC: add numpydoc docstring + commentary to Axis.get_ticklocs
+* :ghpull:`23721`: 3d plot view angle documentation
+* :ghpull:`23744`: Backport PR #23740 on branch v3.6.x (Clarify error for colorbar with unparented mappable)
+* :ghpull:`23741`: Backport PR #23674 on branch v3.6.x (Re-rename builtin seaborn styles to not include a dot.)
+* :ghpull:`23740`: Clarify error for colorbar with unparented mappable
+* :ghpull:`23674`: Re-rename builtin seaborn styles to not include a dot.
+* :ghpull:`23738`: Backport PR #23639 on branch v3.6.x (Adding the new contributor meeting)
+* :ghpull:`23739`: Backport PR #23712 on branch v3.6.x (FIX: do not try to help CPython with garbage collection)
+* :ghpull:`23712`: FIX: do not try to help CPython with garbage collection
+* :ghpull:`23639`: Adding the new contributor meeting
+* :ghpull:`23732`: Backport PR #23729 on branch v3.6.x (Use cleaner recursion check in PyQt FigureCanvas' resizeEvent.)
+* :ghpull:`23734`: Backport PR #23733 on branch v3.6.x (DOC: Update theme configuration for upcoming changes)
+* :ghpull:`23733`: DOC: Update theme configuration for upcoming changes
+* :ghpull:`23728`: Backport PR #23722 on branch v3.6.x (Restore deprecation class aliases in cbook)
+* :ghpull:`23729`: Use cleaner recursion check in PyQt FigureCanvas' resizeEvent.
+* :ghpull:`23726`: Backport PR #23711 on branch v3.6.x (Fix deprecation messages for vendoring unused things)
+* :ghpull:`23722`: Restore deprecation class aliases in cbook
+* :ghpull:`23727`: Backport PR #23724 on branch v3.6.x (Fix/harmonize spacing in dependencies.rst.)
+* :ghpull:`23724`: Fix/harmonize spacing in dependencies.rst.
+* :ghpull:`23711`: Fix deprecation messages for vendoring unused things
+* :ghpull:`23715`: Backport PR #23708 on branch v3.6.x (Loosen up test_Normalize test)
+* :ghpull:`23713`: Backport PR #23710 on branch v3.6.x (Fix cmap deprecations)
+* :ghpull:`23708`: Loosen up test_Normalize test
+* :ghpull:`23710`: Fix cmap deprecations
+* :ghpull:`23696`: Backport PR #23695 on branch v3.6.x (Document polar handling of _interpolation_steps.)
+* :ghpull:`23706`: Backport PR #23705 on branch v3.6.x (DOC: Added link to class under discussion)
+* :ghpull:`23705`: DOC: Added link to class under discussion
+* :ghpull:`23695`: Document polar handling of _interpolation_steps.
+* :ghpull:`23668`: Api deprecate cmap functions
+* :ghpull:`23049`: Add ``minor`` keyword argument to ``plt.x/yticks``
+* :ghpull:`23665`: Harmonize docstrings for boxstyle/connectionstyle/arrowstyle.
+* :ghpull:`23636`: FIX: macosx flush_events should process all events
+* :ghpull:`23555`: Uncamelcase offsetTrans in draw_path_collection.
+* :ghpull:`23682`: Fix generated documentation for deprecated modules
+* :ghpull:`23678`: Get rcParams from mpl
+* :ghpull:`23571`: Simplify _bind_draw_path_function.
+* :ghpull:`23673`: DOC: Highlight information about avoiding labels in legend
+* :ghpull:`22506`: Replace MathtextBackend mechanism.
+* :ghpull:`23340`: Set correct path for Arc
+* :ghpull:`23562`: Fix issue with get_edgecolor and get_facecolor in 3D plots
+* :ghpull:`23634`: make.bat: Don't override SPHINXOPTS/O from the environment
+* :ghpull:`23675`: Deprecate helper functions in axis3d
+* :ghpull:`23676`: MNT: Get rcParams from mpl
+* :ghpull:`23677`: TST: Use article class when checking for pgf
+* :ghpull:`23669`: CI: Azure update from ubuntu-18.04 to ubuntu-latest and ubuntu-20.04
+* :ghpull:`23670`: Add bar color demo.
+* :ghpull:`23644`: Standardize edge-on axis locations when viewing primary 3d axis planes
+* :ghpull:`23563`: Fix issue with drawing 3D lines where points are from nparray
+* :ghpull:`23666`: MNT: Deprecate macosx prepare subplots tool
+* :ghpull:`23572`: Deprecate ``get_grid_positions(..., raw=True)``.
+* :ghpull:`23525`: Add functionality to label individual bars with Axes.bar()
+* :ghpull:`23667`: Fix flake8 errors introduced by crossed PRs
+* :ghpull:`23554`: MNT: Remove unused imports
+* :ghpull:`23659`: Simplify/fix save_diff_image.
+* :ghpull:`23663`: Small cleanups to _find_fonts_by_props.
+* :ghpull:`23662`: Add tolerance to test failing on ppc64le
+* :ghpull:`23623`: MNT: remove _gridspecs attribute on Figure classes
+* :ghpull:`23654`: Reverts macosx change to ARC
+* :ghpull:`23661`: Remove unused fontsize argument from private mathtext _get_info.
+* :ghpull:`23655`: Merge branch v3.5.x into main
+* :ghpull:`23658`: Increase tolerance on multi-font tests
+* :ghpull:`23657`: Add eps to extension list in image triager
+* :ghpull:`23656`: Fix broken link to MathML torture tests.
+* :ghpull:`23649`: CI: Use anaconda-client v1.10.0 for upload of nightlies
+* :ghpull:`23647`: Allow any color format to be used for axis3d.Axis.set_pane_color
+* :ghpull:`23643`: Enable wheels for PyPy 3.8+
+* :ghpull:`23621`: DOC: update and extend fonts explanation
+* :ghpull:`23612`: CI: try installing a different version of noto on OSX
+* :ghpull:`23619`: add pikepdf  and visual c++ dependency
+* :ghpull:`23631`: Leave out ``barh`` from the basic plot types.
+* :ghpull:`23637`: BLD: Add Python 3.11 builds to CI
+* :ghpull:`23632`: Add discouraged admonitions
+* :ghpull:`23620`: Doc update deps
+* :ghpull:`23627`: Bump pypa/cibuildwheel from 2.8.1 to 2.9.0
+* :ghpull:`23628`: Change Title Case to Upper lower in templates
+* :ghpull:`23206`: Change exception type for incorrect SVG date metadata
+* :ghpull:`23387`: Remove setuptools_scm_git_archive dependency and add sdist test
+* :ghpull:`23605`: Fix issues in examples, docs, and tutorials
+* :ghpull:`23618`: [Doc]: Document the position parameter in apply_aspect()
+* :ghpull:`23355`: Revert "Try to unbreak CI by xfailing OSX Tk tests"
+* :ghpull:`23610`: TST: be more forgiving about IDing Noto
+* :ghpull:`23609`: print version number when building docs
+* :ghpull:`20832`: Implement multi-font embedding for PS Backend
+* :ghpull:`20804`: Implement multi-font embedding for PDF Backend
+* :ghpull:`23202`: MNT: Remove cached renderer from figure
+* :ghpull:`23497`: Avoid gridspec in more examples
+* :ghpull:`23602`: Editing "issues for new contributors"
+* :ghpull:`23600`: DOC: view_init docstring for 3d axes primary view angles
+* :ghpull:`23587`: BUG:datetime list starting with none
+* :ghpull:`23559`: re-base of font fallback for pdf and eps output + SVG support
+* :ghpull:`23557`: BLD: update the manylinux versions used
+* :ghpull:`23596`: Minor cleanup of axes_grid1
+* :ghpull:`23594`: Expire deprecation on passing bytes to FT2Font.set_text
+* :ghpull:`23435`: Add conda env to setup instructions
+* :ghpull:`23574`: Move colorbar() doc to method itself.
+* :ghpull:`23584`: Bump Ubuntu to 20.04 on GitHub Actions
+* :ghpull:`23561`: Clean up code in tri
+* :ghpull:`23582`: Cleanup axis3d.Axis.draw
+* :ghpull:`23510`: Refactor Widget tests
+* :ghpull:`20718`: Circle: Build docs in parallel.
+* :ghpull:`22452`: ENH: add ability to remove layout engine
+* :ghpull:`23516`: warning when scatter plot color settings discarded
+* :ghpull:`23577`: apply_aspect cleanups
+* :ghpull:`23575`: Cleanup parasite_simple example.
+* :ghpull:`23567`: Remove noop setattr_cm.
+* :ghpull:`23412`: Fix dash offset bug in Patch
+* :ghpull:`21756`: MNT: Clean up some UTF strings and memory autorelease
+* :ghpull:`23558`: MNT: Use UTF-8 string in macosx backend
+* :ghpull:`23550`: Change exception types, improve argument checking, and cleanups in mpl_toolkits
+* :ghpull:`23196`: Unify set_pickradius argument
+* :ghpull:`20740`: Implement Font-Fallback in Matplotlib
+* :ghpull:`22566`: Add rcparam for figure label size and weight
+* :ghpull:`23551`: Remove transform arguments from _iter_collection
+* :ghpull:`23444`: Deduplicate common parts in LatexManager.{__init__,_setup_latex_process}
+* :ghpull:`23017`: [ENH] : Provide axis('equal') for Axes3D (replace PR #22705)
+* :ghpull:`22950`: Simplify definition of mathtext symbols & correctly end tokens in mathtext parsing
+* :ghpull:`23409`: Provide axis('equal') for Axes3D (replaces PR #23017)
+* :ghpull:`23434`: Fix array-like linewidth for 3d scatter
+* :ghpull:`23500`: Move the common implementation of Axes.set_x/y/zscale to Axis.
+* :ghpull:`23533`: Add tests for sankey and minor fixes
+* :ghpull:`23535`: Make margins error as claimed in doc-string
+* :ghpull:`23546`: Simplify impl. of functions optionally used as context managers.
+* :ghpull:`23494`: Fix various issues from SonarQube
+* :ghpull:`23529`: Add workflow dispatch GitHub CI
+* :ghpull:`23539`: Small improvements to WebAgg example
+* :ghpull:`23541`: Change doc-build CI install order
+* :ghpull:`23526`: DOC: make "family" less ambiguous in FontProperties docs
+* :ghpull:`23537`: Move the deprecated RendererGTK{3,4}Cairo to a single place.
+* :ghpull:`23140`: [Features] Allow setting legend title alignment
+* :ghpull:`23538`: Fix imprecise docs re: backend dependencies.
+* :ghpull:`23532`: Add test for RGBAxes
+* :ghpull:`23453`: Add more tests for mplot3d
+* :ghpull:`23501`: Let Axes.clear iterate over Axises.
+* :ghpull:`23469`: Inline _init_axis_artists & _init_gridlines into clear.
+* :ghpull:`23475`: Add markerfacealt to pass-through arguments for error bar lines
+* :ghpull:`23527`: STY: fix whitespace on an assert
+* :ghpull:`23495`: Fix sgskip'd examples
+* :ghpull:`23404`: Restore matplotlib.__doc__ in Sphinx docs
+* :ghpull:`23507`: Add hint when More than {max_open_warning} figures have been opened
+* :ghpull:`23499`: Fix outdated comment re: event handlers in test_backends_interactive.
+* :ghpull:`23498`: Fix direct instantiation of webagg_core managers.
+* :ghpull:`23504`: Clarify formatting of the code-for-reproduction field in bug reports.
+* :ghpull:`23489`: Add missing test data to install
+* :ghpull:`23482`: Mathtext spaces must be independent of font style.
+* :ghpull:`23486`: Bump pypa/cibuildwheel from 2.8.0 to 2.8.1
+* :ghpull:`23461`: Tweak Axes repr.
+* :ghpull:`16931`: Make it easier to improve UI event metadata.
+* :ghpull:`23468`: Display grid in floating axes example.
+* :ghpull:`23467`: Remove old handling for factor=None in axisartist.
+* :ghpull:`23443`: Try running the pgf backend off the article class.
+* :ghpull:`23373`: Fix pan/zoom crashing when widget lock is unavailable
+* :ghpull:`23466`: Update filename in example.
+* :ghpull:`23464`: Deprecate macos close handler.
+* :ghpull:`23463`: Deprecate Tick.label
+* :ghpull:`23455`: Deprecate properties w_xaxis, w_yaxis, and w_zaxis
+* :ghpull:`23448`: Tweak callbacks to generate pick events.
+* :ghpull:`23233`: Default stem marker color follows the linecolor
+* :ghpull:`23452`: Generalize Axes __repr__ to 3D
+* :ghpull:`23445`: Compare thread native ids when checking whether running on main thread.
+* :ghpull:`20752`: Set norms using scale names.
+* :ghpull:`23438`: DOC: numpydoc-ify date Locator classes
+* :ghpull:`23427`: Tweak pgf escapes.
+* :ghpull:`23432`: Fixed typo in docs animation api
+* :ghpull:`23420`: Clean up test_chunksize_fails()
+* :ghpull:`23415`: Minor improvements to units_sample example
+* :ghpull:`21339`: Added linear scaling test to Hexbin marginals
+* :ghpull:`23414`: Bump pypa/cibuildwheel from 2.7.0 to 2.8.0
+* :ghpull:`23413`: Combine chunk size tests into one
+* :ghpull:`23403`: Small cleanup to VertexSelector.
+* :ghpull:`23291`: In the new/simplified backend API, don't customize draw_if_interactive.
+* :ghpull:`23350`: Fixed SVG-as-text image comparison tests.
+* :ghpull:`23406`: DOC: Fix calculation of bin centers in multi-histogram
+* :ghpull:`23407`: TST: Add missing warning type to pytest.warns
+* :ghpull:`23402`: Link 3D animation examples to one another.
+* :ghpull:`23401`: Upload wheel artifacts from the correct directory
+* :ghpull:`23374`: GOV: point CoC reports at CoC steering council subcomittee mailing list
+* :ghpull:`23393`: Clean up formatting of custom cmap example
+* :ghpull:`23146`: Update cibuildwheel
+* :ghpull:`23368`: Add a helper to generate closed paths.
+* :ghpull:`20220`: DOC: add mission statement
+* :ghpull:`22364`: Tweak mathtext/tex docs.
+* :ghpull:`23377`: Use tick_params more often over tick iteration
+* :ghpull:`22820`: [Doc] consolidate ``rect`` documentation
+* :ghpull:`23371`: Default animation.convert_args to ["-layers", "OptimizePlus"].
+* :ghpull:`23148`: DOC: change address to send security issues to
+* :ghpull:`23365`: DOC: add new showcase example, replace gendered one
+* :ghpull:`23033`: Fix issue with tex-encoding on non-Unicode platforms
+* :ghpull:`23358`: Shorten/clarify definition of extension types.
+* :ghpull:`23370`: Small cleanups to animation.
+* :ghpull:`23364`: Rename/change signature of PyGlyph_new.
+* :ghpull:`23363`: Simplify FigureCanvas multiple inheritance init by swapping bases order.
+* :ghpull:`23366`: MNT: use devel version of theme
+* :ghpull:`23357`: Fixed decimal points not appearing at end of Mathtext string.
+* :ghpull:`23351`: DOC/MNT install docs with dev version of sphinx theme
+* :ghpull:`23349`: CI: Remove old scipy-wheels-nightly uploads to ensure space
+* :ghpull:`23348`: Support multi-figure MultiCursor; prepare improving its signature.
+* :ghpull:`23360`: embedding_in_tk_sgskip.py: use root.destroy
+* :ghpull:`23354`: MNT: Use list comprehension
+* :ghpull:`23299`: FIX/API: do not reset backend key in rc_context
+* :ghpull:`23191`: ENH: add width_ratios and height_ratios to subplots
+* :ghpull:`23060`: MNT: Change objective C code to Automatic Reference Counting (ARC)
+* :ghpull:`23347`: Simplify/improve check for pycairo in Gtk-based backends.
+* :ghpull:`23316`: DOC: improve spines crosslinking
+* :ghpull:`23100`: Remove custom backend_nbagg.show(), putting logic in manager show.
+* :ghpull:`23342`: FIX: make sure addFont test removes the test font
+* :ghpull:`23266`: negative_linestyles kwarg in contour.py
+* :ghpull:`23332`: Validate Text linespacing on input.
+* :ghpull:`23336`: Remove ineffective exclusion of Arcs without parent Axes.
+* :ghpull:`23341`: MNT: Use '--pytest-test-first' option for naming clarity
+* :ghpull:`23337`: Remove now inexistent "datapath" rcParam from style blacklist.
+* :ghpull:`22004`: Make RendererCairo auto-infer surface size.
+* :ghpull:`23208`: ENH: enable stripey lines
+* :ghpull:`23288`: Correct URL area with rotated texts in PDFs
+* :ghpull:`23197`: Add tests for pan
+* :ghpull:`22167`: Deprecate selector ``visible`` attribute
+* :ghpull:`23322`: Cleanup FontProperties examples.
+* :ghpull:`23321`: Tweak examples capitalization/punctuation.
+* :ghpull:`23270`: Fix handling of nonmath hyphens in mathtext.
+* :ghpull:`23310`: Move Cursor demo from examples/misc to examples/event_handling
+* :ghpull:`23313`: Drop CSS styles that are in mpl-sphinx-theme
+* :ghpull:`23314`: Don't draw invisible 3D Axes
+* :ghpull:`23302`: Deprecate stem(..., use_line_collection=False)
+* :ghpull:`23309`: Remove front page examples
+* :ghpull:`23282`: Backport PR #22865 on branch v3.5.x (Fix issue with colorbar extend and drawedges)
+* :ghpull:`23231`: Add pytest-xvfb as test dependency
+* :ghpull:`23318`: No need to return OrderedDict from _gen_axes_spines.
+* :ghpull:`23295`: Replace re.sub by the faster str.translate.
+* :ghpull:`23300`: Modify example of "Fig Axes Customize Simple"
+* :ghpull:`23014`: Improve consistency in LogLocator and LogFormatter API
+* :ghpull:`23286`: Refactor URL handling in PDF backend
+* :ghpull:`23065`: Fix test_image_comparison_expect_rms
+* :ghpull:`23294`: Simplify binary data handling in ps backend.
+* :ghpull:`23284`: DOC: Switch to HTML5 and cleanup CSS
+* :ghpull:`23276`: Add get/set methods for DPI in SubFigure
+* :ghpull:`23207`: Update build environment and improve test
+* :ghpull:`23213`: DEV: Add name-tests-test to pre-commit hooks
+* :ghpull:`23289`: Properly make Name.hexify go through a deprecation cycle.
+* :ghpull:`23177`: Deprecate positional passing of most Artist constructor parameters
+* :ghpull:`23287`: Minor tweaks to pdf Name.
+* :ghpull:`23285`: In mathtext, replace manual caching (via ``glyphd``) by lru_cache.
+* :ghpull:`23034`: Correctly read the 'style' argument while processing 'genfrac'.
+* :ghpull:`23247`: Support inverted parentheses in mathtext.
+* :ghpull:`23190`: Deprecate unused methods in axis.py
+* :ghpull:`23219`: MNT: Rename example files with 'test' in name
+* :ghpull:`23277`: MNT: Remove dead code in SVG backend
+* :ghpull:`23261`: Bump actions/setup-python from 3 to 4
+* :ghpull:`23264`: Changing environment.yml for it to work on Windows
+* :ghpull:`23269`: MNT: Remove dead code in Colorbar
+* :ghpull:`23262`: Simplify qt_compat, in particular post-removal of qt4 support.
+* :ghpull:`23263`: Private helper to get requested backend without triggering resolution.
+* :ghpull:`23243`: Fix spacing after mathtext operators with sub/superscripts
+* :ghpull:`22839`: Fix spacing after mathtext operators with sub/superscripts
+* :ghpull:`23256`: DOC: Add note about Inkscape install on Windows
+* :ghpull:`23258`: DOC: remove Blue Book url
+* :ghpull:`23255`: Add a helper to generate mathtext error strings.
+* :ghpull:`23246`: Fix argument checking for set_interpolation_stage
+* :ghpull:`22881`: Support not embedding glyphs in svg mathtests.
+* :ghpull:`23198`: Rename ncol parameter in legend to ncols
+* :ghpull:`23251`: Small simplifications to mathtext tests.
+* :ghpull:`23249`: Don't allow ``r"$\left\\|\right.$"``, as in TeX.
+* :ghpull:`23248`: Rename test markers
+* :ghpull:`22507`: Remove *math* parameter of various mathtext internal APIs.
+* :ghpull:`23192`: Add tests, improve error messages in axis/_base, and code cleanup
+* :ghpull:`23241`: Fix invalid value in radio buttons example
+* :ghpull:`23187`: Correct docs and use keyword arguments in _mathtext.py
+* :ghpull:`23045`: MNT: Merge locally defined test marks
+* :ghpull:`22289`: ENH: compressed layout
+* :ghpull:`23237`: Expire BoxStyle._Base deprecation.
+* :ghpull:`23225`: DOC: Fix version switcher links to documentation
+* :ghpull:`23221`: DOC: recommend numpy random number generator class
+* :ghpull:`23223`: Changed offset reference, add small doc
+* :ghpull:`23215`: DOC: link the transforms tutorial from the module
+* :ghpull:`23201`: Rework tricontour and tricontourf documentation
+* :ghpull:`23013`: Add tests for date module
+* :ghpull:`23188`: Mnt new default dates
+* :ghpull:`22745`: MNT: Don't require renderer for window_extent and tightbbox
+* :ghpull:`23077`: MNT: Remove keyword arguments to gca()
+* :ghpull:`23182`: Simplify webagg blitting.
+* :ghpull:`23181`: Init FigureCanvasAgg._lastKey in ``__init__``.
+* :ghpull:`23175`: Point the version switcher to a name listed in switcher.json
+* :ghpull:`22669`: Cleanup documentation generation for pyplot
+* :ghpull:`22519`: fix markevery plot option with nans in data
+* :ghpull:`21584`: Move towards having get_shared_{x,y}_axes return immutable views.
+* :ghpull:`23170`: ENH: update ticks when requesting labels
+* :ghpull:`23169`: DOC: Migrate to sphinx-design
+* :ghpull:`23180`: Improve docstring of triplot() and PatchCollection
+* :ghpull:`23153`: Restore accidentally removed pytest.ini and tests.py.
+* :ghpull:`23166`: Deprecate passing most Legend arguments positionally
+* :ghpull:`23165`: DOCS Fix a few typos
+* :ghpull:`23167`: DOCS fix typo
+* :ghpull:`23062`: Add stackplot to plot types listing
+* :ghpull:`23161`: Added my (open access) book
+* :ghpull:`23141`: Minor fix for astropy units support broken in earlier PR
+* :ghpull:`23156`: No longer call draw_if_interactive in parasite_axes.
+* :ghpull:`23150`: DOC fix typo
+* :ghpull:`23149`: DOCS remove duplicate text
+* :ghpull:`23145`: Fix format error in switcher.json
+* :ghpull:`21755`: MNT: Clean up macosx backend set_message
+* :ghpull:`23128`: DOCS Fix typos
+* :ghpull:`23130`: Drop pytest warning config in nightly tests
+* :ghpull:`23135`: Unpin coverage again
+* :ghpull:`23133`: Make module deprecation messages consistent
+* :ghpull:`23134`: Remove newline from start of deprecation warnings
+* :ghpull:`22964`: Fix spelling errors
+* :ghpull:`22929`: Handle NaN in bar labels and error bars
+* :ghpull:`23093`: MNT: Removing 3.4 deprecations
+* :ghpull:`23090`: Derive new_figure_manager from FigureCanvas.new_manager.
+* :ghpull:`23099`: Remove unneeded cutout for webagg in show().
+* :ghpull:`23097`: Tweak check for IPython pylab mode.
+* :ghpull:`23088`: Improve error for invalid format strings / misspelled data keys.
+* :ghpull:`23092`: Ensure updated monkey-patching of sphinx-gallery EXAMPLE_HEADER
+* :ghpull:`23087`: Fix width/height inversion in dviread debug helper.
+* :ghpull:`23089`: Normalize tk load failures to ImportErrors.
+* :ghpull:`23091`: Move test that fig.add_axes() needs parameters
+* :ghpull:`23067`: more explicit in windows doc build instructions
+* :ghpull:`23081`: MNT: Deprecate date_ticker_factory
+* :ghpull:`23079`: MNT: Remove key_press and button_press from FigureManager
+* :ghpull:`23076`: MNT: Remove positional argument handling in LineCollection
+* :ghpull:`23078`: MNT: Remove deprecated axis.cla()
+* :ghpull:`23054`: Slightly simplify tcl/tk load in extension.
+* :ghpull:`23073`: MNT: Remove dummy_threading because threading is always available
+* :ghpull:`22405`: DOC: put the gallery keywords in the meta tag
+* :ghpull:`23071`: Fix installing contourpy on CI
+* :ghpull:`23068`: Slight refactor of _c_internal_utils to linewrap it better.
+* :ghpull:`23070`: Pathlibify autotools invocation in build.
+* :ghpull:`22755`: Maybe run autogen as part of freetype install
+* :ghpull:`23063`: doc: mathtext example: use axhspan() instead of fill_between() for backdrop rectangle shading
+* :ghpull:`23055`: Cleanup Annotation.update_position.
+* :ghpull:`22567`: Use contourpy for quad contour calculations
+* :ghpull:`22801`: TST: fully parameterize test_lazy_linux_headless
+* :ghpull:`22180`: ENH: Use rcParams savefig.directory on macosx backend
+* :ghpull:`23048`: Add rrulewrapper to docs
+* :ghpull:`23047`: Fix issue with hist and float16 data
+* :ghpull:`23044`: Fix missing section header for nightly builds
+* :ghpull:`23029`: Demonstrate both usetex and non-usetex in demo_text_path.py.
+* :ghpull:`23038`: Factor out errorevery parsing for 2D and 3D errorbars.
+* :ghpull:`23036`: Suppress traceback chaining for tex subprocess failures.
+* :ghpull:`23037`: Suppress exception chaining in FontProperties.
+* :ghpull:`23020`: Add test to close legend issue
+* :ghpull:`23031`: Specify that style files are utf-8.
+* :ghpull:`22991`: Enable ``plt.sca`` on subfigure's axes
+* :ghpull:`23030`: DOC: Fix charset declaration in redirects
+* :ghpull:`23022`: Fix some possible encoding issues for non-utf8 systems.
+* :ghpull:`23023`: Bump docker/setup-qemu-action from 1 to 2
+* :ghpull:`23024`: DOC: do not suggest to sudo pip install Matplotlib
+* :ghpull:`23018`: Fix typo in font family
+* :ghpull:`22627`: ENH: rect for constrained_layout
+* :ghpull:`22891`: Font example monospace
+* :ghpull:`23006`: docs: add subplot-mosaic string compact notation
+* :ghpull:`23009`: Fixed installation guide command typo
+* :ghpull:`22926`: Fix RangeSlider for same init values #22686
+* :ghpull:`22989`: Merge v3.5.x back into main
+* :ghpull:`22993`: STY: Fix typos in colormap
+* :ghpull:`22777`: DEV: Add codespell to pre-commit hooks
+* :ghpull:`22940`: Fixed dpi bug in rainbow text example
+* :ghpull:`22298`: MNT: Remove cmap_d colormap access
+* :ghpull:`22387`: Add a registry for color sequences
+* :ghpull:`21594`: Document text alignment
+* :ghpull:`22967`: TST: Add some tests for QuadMesh contains function
+* :ghpull:`22936`: ENH: Add full-screen toggle to the macosx backend
+* :ghpull:`22886`: MNT: remove mpl_toolkits.axes_grid
+* :ghpull:`22952`: Make MarkerStyle immutable
+* :ghpull:`22953`: MNT: Move set_cursor to the FigureCanvas
+* :ghpull:`18854`: Standardize creation of FigureManager from a given FigureCanvas class.
+* :ghpull:`22925`: Standardize creation of FigureManager from a given FigureCanvas class.
+* :ghpull:`22875`: Remove Forward definitions where possible.
+* :ghpull:`22928`: ENH: Add option to disable raising the window for macosx
+* :ghpull:`22912`: DOC: Better doc of colors
+* :ghpull:`22931`: BUG: Fix regression with ls=(0, ())
+* :ghpull:`22909`: FIX: skip sub directories when finding fonts on windows
+* :ghpull:`22911`: Clarify docstring of [un]install_repl_displayhook()
+* :ghpull:`22919`: CI: Add concurrency skips for GH Actions
+* :ghpull:`22899`: Fix documentation markup issues
+* :ghpull:`22906`: Clarify logic for repl displayhook.
+* :ghpull:`22892`: Remove support for IPython<4.
+* :ghpull:`22896`: Remove python-dateutil as test requirement
+* :ghpull:`22885`: Deprecate two-layered backend_pdf.Op enum.
+* :ghpull:`22883`: Tweak argument checking in tripcolor().
+* :ghpull:`22884`: Missing ``f`` prefix on f-strings fix
+* :ghpull:`22877`: Small cleanups to mathtext.
+* :ghpull:`21374`: Snap selectors
+* :ghpull:`22824`: Remove some unnecessary extra boundaries for colorbars with extensions.
+* :ghpull:`21448`: Use named groups in mathtext parser.
+* :ghpull:`22609`: Improve usability of dviread.Text by third parties.
+* :ghpull:`22809`: STY: Apply pre-commit hooks to codebase
+* :ghpull:`22730`: Fix removed cross-references
+* :ghpull:`22857`: Slightly simplify twin axes detection in MEP22 zoom.
+* :ghpull:`22813`: MNT: Deprecate figure callbacks
+* :ghpull:`22802`: MNT: make Axes.cla an alias for Axes.clear in all cases
+* :ghpull:`22855`: Remove non-needed remove_text=False.
+* :ghpull:`22854`: TST: Avoid floating point errors in asinh ticker
+* :ghpull:`22850`: Simplify tick creation
+* :ghpull:`22841`: Fix Tk error when updating toolbar checkbutton images
+* :ghpull:`22707`: Proposed ENH: Allow user to turn off breaking of streamlines in streamplot (rebased)
+* :ghpull:`22826`: Bump actions/upload-artifact from 2 to 3
+* :ghpull:`22825`: Bump codecov/codecov-action from 2 to 3
+* :ghpull:`22821`: Use bool for bool keyword arguments
+* :ghpull:`22815`: Fix pickling of globally available, dynamically generated norm classes.
+* :ghpull:`22702`: Doc tweak transform tutorial
+* :ghpull:`22613`: DOC: Add links to explicit vs implicit API everywhere "OO" is used
+* :ghpull:`22712`: Use repr in error messages
+* :ghpull:`22794`: Fix ps export of colored hatches with no linewidth
+* :ghpull:`22797`: Deprecate functions in backends
+* :ghpull:`22608`: Axes.inset_axes: enable Axes subclass creation
+* :ghpull:`22795`: Replace "marker simplification" by "marker subsampling" in docs.
+* :ghpull:`22768`: Fix inkscape tests
+* :ghpull:`22791`: Tweak _ConverterError reporting.
+* :ghpull:`22447`: Improve bar_label annotation
+* :ghpull:`22710`: Fix the error- TypeError: 'float' object is not iterable
+* :ghpull:`22444`: Revert "CI: skip test to work around gs bug"
+* :ghpull:`22785`: CI: Update weekly dependency test job
+* :ghpull:`22784`: Fix 'misspelled' transform variable
+* :ghpull:`22778`: Fix LaTeX formatting in examples
+* :ghpull:`22779`: Improve mlab documentation (and example)
+* :ghpull:`22759`: MNT: Skip existing wheels during nightly wheel upload
+* :ghpull:`22751`: BLD: do not put an upper bound on pyparsing
+* :ghpull:`22752`: DOC: Correct nightly wheels pip install command
+* :ghpull:`22742`: Fix deprecation of backend_tools.ToolBase.destroy
+* :ghpull:`22725`: Move towards making texmanager stateless.
+* :ghpull:`22734`: Added clim support to tripcolor
+* :ghpull:`22733`: CI: Add GHA workflow to upload nightly wheels
+* :ghpull:`21637`: Also upload a subset of nightly wheels
+* :ghpull:`22698`: Correct cross-references in documentation
+* :ghpull:`22263`: DOC: condense version switcher
+* :ghpull:`22361`: Revert datetime usetex ticklabels to use default tex font.
+* :ghpull:`22721`: Small style fixes.
+* :ghpull:`22356`: Cleanup tripcolor()
+* :ghpull:`22360`: Let TeX handle multiline strings itself.
+* :ghpull:`22418`: Deprecate auto-removal of overlapping Axes by plt.subplot{,2grid}.
+* :ghpull:`22722`: Rename confusingly-named cm_fallback.
+* :ghpull:`22697`: Deprecate in testing.decorators
+* :ghpull:`22556`: Add text.parse_math rcParams
+* :ghpull:`22163`: Change colour of Tk toolbar icons on dark backgrounds
+* :ghpull:`22704`: Small simplification to textpath.
+* :ghpull:`22498`: TST: increase coverage on tk tests
+* :ghpull:`21425`: Make Axis3D constructor signature closer to the one of 2D axis.
+* :ghpull:`22665`: Improve error message for incorrect color string
+* :ghpull:`22685`: Rewrite plot format detection from sphinx build target
+* :ghpull:`22670`: Update deprecated vmImage 'vs2017-win2016' in azure pipelines
+* :ghpull:`22503`: Deprecate backend_qt.qApp.
+* :ghpull:`22683`: Add missing space before : for parameters
+* :ghpull:`22591`: Fix Path/str-discrepancy in FontManager.addpath and improve documentation
+* :ghpull:`22680`: Bump actions/cache from 2 to 3
+* :ghpull:`22659`: Add description on quiver head parameters
+* :ghpull:`22668`: Raise on missing closing quotes in matplotlibrc
+* :ghpull:`22675`: Tweak colorbar_placement example.
+* :ghpull:`22276`: Merge "Scatter Symbol" and "Scatter Custom Symbol" examples
+* :ghpull:`22658`: Remove reference to now-deleted reminder note.
+* :ghpull:`22652`: Update documentation example and fix See also
+* :ghpull:`22587`: Refactor handling of tick and ticklabel visibility in Axis.clear()
+* :ghpull:`22148`: MNT: Deprecate ``docstring``
+* :ghpull:`22170`: Add example to polygon selector docstring showing how to set vertices programmatically
+* :ghpull:`22650`: Fix new leak in ft2font introduced in #22604
+* :ghpull:`22644`: FIX: Flush events after closing figures in macosx backend
+* :ghpull:`22643`: Suppress exception chaining in colormap lookup.
+* :ghpull:`22639`: ENH: MacOSX backend to use sRGB instead of GenericRGB colorspace
+* :ghpull:`22509`: Simplifications to ToolManager.{add,remove}_tool.
+* :ghpull:`22633`: DOC: remove space in directive.
+* :ghpull:`22631`: Add space between individual transform components in svg output.
+* :ghpull:`22523`: MNT: Use a context manager to change the norm in colorbar code
+* :ghpull:`22615`: FIX: Change get_axis_map to axis_map now
+* :ghpull:`22508`: Move tracking of autoscale status to Axis.
+* :ghpull:`22547`: Small cleanups around TexManager usage.
+* :ghpull:`22511`: Remove redundant rcParam-lookup in patches
+* :ghpull:`22516`: Expire deprecations in backends
+* :ghpull:`22612`: Updated grammar to reflect more common usage of output vs outputted in animation.py
+* :ghpull:`22589`: Support quoted strings in matplotlibrc
+* :ghpull:`22604`: MNT: Fix types in C-code to reduce warnings
+* :ghpull:`22610`: Fix alternative suggestion in epoch2num() deprecation
+* :ghpull:`22554`: Prepare for making create_dummy_axis not necessary.
+* :ghpull:`22607`: ENH: Add dark/light mode theme to the buttons
+* :ghpull:`21790`: FIX: Update blitting and drawing on the macosx backend
+* :ghpull:`22175`: FIX: Update macosx animation handling
+* :ghpull:`22569`: Require non-zero dash value
+* :ghpull:`22544`: Correct paper sizes
+* :ghpull:`20470`: Issues warnings for legend handles without handlers
+* :ghpull:`22558`: MNT: Simplify imports
+* :ghpull:`22580`: fix doc for annotation_clip parameter
+* :ghpull:`22581`: DOC: fix various typos
+* :ghpull:`22573`: Bump actions/setup-python from 2 to 3
+* :ghpull:`22568`: Rename qhull source to _qhull_wrapper.cpp.
+* :ghpull:`22561`: FIX: Handle stopped animation figure resize
+* :ghpull:`22562`: TST: Add a frame test for animations
+* :ghpull:`22514`: Expire deprecations in cbook.deprecation
+* :ghpull:`22555`: Use picklable callbacks for DraggableBase.
+* :ghpull:`22552`: Tweak dependency checking in doc/conf.py.
+* :ghpull:`22550`: Require sphinx>=3 & numpydoc>=1.0 for building docs.
+* :ghpull:`22539`: Deprecate toplevel mpl.text.get_rotation; normalize rotations early.
+* :ghpull:`22502`: Cleanup unused imports and variables in backends
+* :ghpull:`20071`: Document, test, and simplify impl. of auto_adjustable_area.
+* :ghpull:`22366`: Deprecation removal/updates in axes3d
+* :ghpull:`22484`: Simplify the internal API to connect picklable callbacks.
+* :ghpull:`22417`: Support passing rgbaFace as an array to agg's draw_path.
+* :ghpull:`22412`: Turn _get_axis_map() into a property and remove _get_axis_list()
+* :ghpull:`22486`: Expire deprecations in lines and patches
+* :ghpull:`22512`: Increase coverage
+* :ghpull:`22504`: Simplify FontProperties init.
+* :ghpull:`22497`: Remove entries of MathTextParser._backend_mapping deprecated in 3.4.
+* :ghpull:`22487`: Don't key MathTextParser cache off a mutable FontProperties.
+* :ghpull:`22468`: Turn _mathtext.ship into a plain function.
+* :ghpull:`22490`: Deprecate unused, untested Affine2D.identity().
+* :ghpull:`22491`: Linewrap setupext to 79 character lines.
+* :ghpull:`22488`: Some more maintenance for mathtext internal implementation.
+* :ghpull:`22485`: Change string representation of AxesImage
+* :ghpull:`22240`: Add minimum macosx version
+* :ghpull:`22480`: Remove _point_size_reduction.
+* :ghpull:`22204`: Cleanup _mathtext internal API
+* :ghpull:`22469`: Improve readability of mathtext internal structures.
+* :ghpull:`22477`: Un-pyplot some examples which were already explicitly referencing axes.
+* :ghpull:`22467`: Small cleanup to font handling in agg.
+* :ghpull:`21178`: Add asinh axis scaling (*smooth* symmetric logscale)
+* :ghpull:`22411`: Move cbook._define_aliases() to _api.define_aliases()
+* :ghpull:`22465`: Deprecate unused AddList.
+* :ghpull:`22451`: Clarify error message for bad keyword arguments.
+* :ghpull:`21267`: Cleanup AnnotationBbox.
+* :ghpull:`22464`: Small improvements related to radar_chart example.
+* :ghpull:`22421`: Make most params to figure()/Figure() kwonly.
+* :ghpull:`22457`: Copy arrowprops argument to FancyAnnotationBbox.
+* :ghpull:`22454`: move ``_toolbar_2`` from webagg_core to webagg
+* :ghpull:`22413`: Remove some trivial private getters/setters in axisartist
+* :ghpull:`21634`: TST: Add future dependency tests as a weekly CI job
+* :ghpull:`22079`: Share FigureManager class between gtk3 and gtk4.
+* :ghpull:`22440`: Clarify warning about labels with leading underscores.
+* :ghpull:`17488`: Make error message explicit in legend.py
+* :ghpull:`22453`: Simplify impl. of polar limits setting API.
+* :ghpull:`22449`: Small cleanup to quiver.
+* :ghpull:`22415`: Make emit and auto args of set_{x,y,z}lim keyword only.
+* :ghpull:`22422`: Deprecate backend_ps.convert_psfrags.
+* :ghpull:`22194`: Drop support for Python 3.7
+* :ghpull:`22234`: Partial fix for grid alpha
+* :ghpull:`22433`: Fix ambiguous link targets in docs.
+* :ghpull:`22420`: Update plt.figure() docstring.
+* :ghpull:`22388`: Make signature of Axes.annotate() more explicit.
+* :ghpull:`22419`: Remove "Matplotlib version" from docs issue template
+* :ghpull:`22423`: Avoid indiscriminate glob-remove in xpdf_distill.
+* :ghpull:`22406`: [DOC]: Removed a redundant 'The'
+* :ghpull:`21442`: Factor out common limits handling for x/y/z axes.
+* :ghpull:`22397`: Axes capitalization in widgets and axes3d
+* :ghpull:`22394`: Tweak Axes3D docstrings that refer to 2D plotting methods.
+* :ghpull:`22383`: TST: fix doc build
+* :ghpull:`21877`: DOC: attempt to explain the main different APIs
+* :ghpull:`21238`: Raise when unknown signals are connected to CallbackRegistries.
+* :ghpull:`22345`: MNT: make layout deprecations pending
+* :ghpull:`21597`: FIX: Remove the deepcopy override from transforms
+* :ghpull:`22370`: Replace tabs with spaces in C code.
+* :ghpull:`22371`: Corrected a mistake in comments (Issue #22369)
+* :ghpull:`21352`: Refactor hexbin().
+* :ghpull:`19214`: Improve autoscaling for high order Bezier curves
+* :ghpull:`22268`: Deprecated is_decade and is_close_to_int
+* :ghpull:`22359`: Slightly refactor TeX source generation.
+* :ghpull:`22365`: Remove deprecated ``MovieWriter.cleanup``
+* :ghpull:`22363`: Properly capitalize "Unicode".
+* :ghpull:`22025`: Deprecate various custom FigureFrameWx attributes/methods.
+* :ghpull:`21391`: Reuse imsave()'s background-blending code in FigureCanvasAgg.print_jpeg.
+* :ghpull:`22026`: Simplify wxframe deletion.
+* :ghpull:`22351`: Fix "trailing" whitespace in C docstrings.
+* :ghpull:`22342`: Docstrings for _qhull.
+* :ghpull:`21836`: Slightly shorten ft2font init.
+* :ghpull:`21962`: Privatize various internal APIs of backend_pgf.
+* :ghpull:`22114`: Rewrite AxesStack independently of cbook.Stack.
+* :ghpull:`22332`: Let TransformedPatchPath inherit most functionality from TransformedPath.
+* :ghpull:`22292`: Cleanup Axis._translate_tick_kw
+* :ghpull:`22339`: wx.App() should be init'ed in new_figure_manager_given_figure
+* :ghpull:`22315`: More standardization of floating point slop in mpl_toolkits.
+* :ghpull:`22337`: DOC: More cleanup axes -> Axes
+* :ghpull:`22323`: Replace sole use of maxdict by lru_cache.
+* :ghpull:`22229`: FIX: make safe to add / remove artists during ArtistList iteration
+* :ghpull:`22196`: ``dates`` classes and functions support ``tz`` both as string and ``tzinfo``
+* :ghpull:`22161`: Add box when setting ``PolygonSelector.verts``
+* :ghpull:`19368`: Raise warning and downsample if data given to _image.resample is too large
+* :ghpull:`22250`: Unify toolbar init across backends.
+* :ghpull:`22304`: Added tests for ContourSet.legend_elements
+* :ghpull:`21583`: Add pre-commit config and dev instructions
+* :ghpull:`21547`: Custom cap widths in box and whisker plots in bxp() and boxplot()
+* :ghpull:`20887`: Implement a consistent behavior in TkAgg backend for bad blit bbox
+* :ghpull:`22317`: Rename outdated seaborn styles.
+* :ghpull:`22271`: Rework/fix Text layout cache.
+* :ghpull:`22097`: In mpl_toolkits, use the same floating point slop as for standard ticks.
+* :ghpull:`22295`: Display bad format string in error message.
+* :ghpull:`22287`: Removed unused code and variables
+* :ghpull:`22244`: MNT: colorbar locators properties
+* :ghpull:`22270`: Expanded documentation of Axis.set_ticks as per discussion in issue #22262
+* :ghpull:`22280`: Simplify FontProperties.copy().
+* :ghpull:`22174`: Give the Tk toolbar buttons a flat look
+* :ghpull:`22046`: Add the ability to change the focal length of the camera for 3D plots
+* :ghpull:`22251`: Colorbar docstring reorg
+* :ghpull:`21933`: MNT: privatize colorbar attr
+* :ghpull:`22258`: DOC: fix version switcher
+* :ghpull:`22261`: DOC: fix switcher json
+* :ghpull:`22154`: Add some tests for minspan{x,y} in RectangleSelector
+* :ghpull:`22246`: DOC: add dropdown
+* :ghpull:`22133`: Deprecated ``afm``, ``fontconfig_pattern``, and ``type1font``
+* :ghpull:`22249`: DOC: More capitalization of Axes
+* :ghpull:`22021`: Ensure that all toolbar (old/new) subclasses can be init'ed consistently
+* :ghpull:`22213`: Improve ft2font error reporting.
+* :ghpull:`22245`: Deprecate cleared kwarg to get_renderer.
+* :ghpull:`22239`: Fix typos
+* :ghpull:`22216`: turn off the grid after creating colorbar axes
+* :ghpull:`22055`: FIX: Return value instead of enum in get_capstyle/_joinstyle
+* :ghpull:`22228`: Remove some unnecessary getattrs.
+* :ghpull:`20426`: ENH: Layout engine
+* :ghpull:`22224`: Trivial doc fix to annotations tutorial.
+* :ghpull:`21894`: Jointly track x and y in PolygonSelector.
+* :ghpull:`22205`: Bump minimum NumPy to 1.19
+* :ghpull:`22203`: Factor out underline-thickness lookups in mathtext.
+* :ghpull:`22189`: DOC: Add hatch API to reference
+* :ghpull:`22084`: Clean up 3d plot box_aspect zooming
+* :ghpull:`22098`: Expire axes_grid1/axisartist deprecations.
+* :ghpull:`22013`: Use standard toolbar in wx.
+* :ghpull:`22160`: Removed unused variables etc.
+* :ghpull:`22179`: FIX: macosx check case-insensitive app name
+* :ghpull:`22157`: Improved coverage of mathtext and removed unused code
+* :ghpull:`21781`: Use a fixture to get widget testing axes
+* :ghpull:`22140`: Ensure log formatters use Unicode minus
+* :ghpull:`21342`: Fix drawing animated artists changed in selector callback
+* :ghpull:`22134`: Deprecated ``tight_bbox`` and ``tight_layout`` modules
+* :ghpull:`21965`: Switch transOffset to offset_transform.
+* :ghpull:`22145`: Make Tk windows use the same icon as other backends
+* :ghpull:`22107`: Expire mathttext-related deprecations
+* :ghpull:`22139`: FIX: width/height were reversed in macosx rectangle creation
+* :ghpull:`22123`: Deprecate accepting arbitrary parameters in some get_window_extent() methods
+* :ghpull:`22122`: Hint at draw_without_rendering() in Text.get_window_extent
+* :ghpull:`22120`: Drop dependency on scipy in the docs.
+* :ghpull:`22063`: FIX: Autoposition title when yaxis has offset
+* :ghpull:`22119`: Micro-optimize skew().
+* :ghpull:`22109`: Remove unnecessary null checks in macosx.m, and some more maintenance
+* :ghpull:`21977`: Add corner coordinate helper methods to Ellipse/Rectangle
+* :ghpull:`21830`: Add option of bounding box for PolygonSelector
+* :ghpull:`22115`: Turn _localaxes into a plain list.
+* :ghpull:`22108`: Micro-optimize rotation transform.
+* :ghpull:`22043`: Cleanup differential equations examples.
+* :ghpull:`22080`: Simple style(ish) fixes.
+* :ghpull:`22110`: Right-aligned status text in backends
+* :ghpull:`21873`: DOC: Update and consolidate Custom Tick Formatter for Time Series example
+* :ghpull:`22112`: Fix a small typo
+* :ghpull:`20117`: Very soft-deprecate AxesDivider.new_{horizontal,vertical}.
+* :ghpull:`22034`: Update lines_with_ticks_demo.py
+* :ghpull:`22102`: DOC: rename usage tutorial to quick_start
+* :ghpull:`19228`: Validate text rotation in setter
+* :ghpull:`22081`: Expire colorbar-related deprecations.
+* :ghpull:`22008`: Added color keyword argument to math_to_image
+* :ghpull:`22058`: Remove exprired mplot3d deprecations for 3.6
+* :ghpull:`22073`: DOC: Add new tutorial to external resources.
+* :ghpull:`22054`: MNT: Set CapStyle member names automatically
+* :ghpull:`22061`: De-duplicate mplot3D API docs
+* :ghpull:`22075`: Remove unnecessary ``.figure`` qualifier in docs.
+* :ghpull:`22051`: Make required_interactive_framework required on FigureCanvas.
+* :ghpull:`22050`: Deprecate the noop, unused FigureCanvasBase.resize.
+* :ghpull:`22030`: Add explanatory comments to "broken" horizontal bar plot example
+* :ghpull:`22001`: Fix:    [Bug]: triplot with 'ls' argument yields TypeError #21995
+* :ghpull:`22045`: Fill in missing Axes3D box_aspect argument docstring
+* :ghpull:`22042`: Keep FontEntry helpers private.
+* :ghpull:`21042`: Make rcParams.copy() return a new RcParams instance.
+* :ghpull:`22032`: flipy only affects the drawing of texts, not of images.
+* :ghpull:`21993`: Added docstring to rrulewrapper class
+* :ghpull:`21935`: Significantly improve tight layout performance for cartopy axes
+* :ghpull:`22000`: Some gtk cleanups.
+* :ghpull:`21983`: Simplify canvas class control in FigureFrameWx.
+* :ghpull:`21985`: Slightly tighten the _get_layout_cache_key API.
+* :ghpull:`22020`: Simplify wx _print_image.
+* :ghpull:`22010`: Fix syntax highlighting in contrib guide.
+* :ghpull:`22003`: Initialize RendererCairo.{width,height} in constructor.
+* :ghpull:`21992`: Use _make_classic_style_pseudo_toolbar more.
+* :ghpull:`21916`: Fix picklability of make_norm_from_scale norms.
+* :ghpull:`21981`: FigureCanvasCairo can init RendererCairo; kill RendererCairo subclasses.
+* :ghpull:`21986`: InvLogTransform should only return masked arrays for masked inputs.
+* :ghpull:`21991`: PEP8ify wx callback names.
+* :ghpull:`21975`: DOC: remove experimental tag from CL
+* :ghpull:`21989`: Autoinfer norm bounds.
+* :ghpull:`21980`: Removed loaded modules logging
+* :ghpull:`21982`: Deprecate duplicated FigureManagerGTK{3,4}Agg classes.
+* :ghpull:`21963`: Clarify current behavior of draw_path_collection.
+* :ghpull:`21974`: Reword inset axes example.
+* :ghpull:`21835`: Small improvements to interactive examples
+* :ghpull:`21050`: Store dash_pattern as single attribute, not two.
+* :ghpull:`21557`: Fix transparency when exporting to png via pgf backend.
+* :ghpull:`21904`: Added _repr_html_ for fonts
+* :ghpull:`21696`: Use cycling iterators in RendererBase.
+* :ghpull:`21955`: Refactor common parts of ImageMagick{,File}Writer.
+* :ghpull:`21952`: Clarify coordinates for RectangleSelector properties
+* :ghpull:`21964`: Fix some more missing references.
+* :ghpull:`21516`: Make _request_autoscale_view more generalizable to 3D.
+* :ghpull:`21947`: Slightly cleanup RendererBase docs.
+* :ghpull:`21961`: Privatize various internal APIs of backend_pgf.
+* :ghpull:`21956`: Remove tests for avconv animation writers.
+* :ghpull:`21954`: DOC: Move Animation and MovieWriter inheritance diagrams ...
+* :ghpull:`21780`: Add a click_and_move widget test helper
+* :ghpull:`21941`: Merge branch v3.5.x into main
+* :ghpull:`21936`: Small ``__getstate__`` cleanups.
+* :ghpull:`21939`: Update comment re: register_at_fork.
+* :ghpull:`21910`: Fold _rgbacache into _imcache.
+* :ghpull:`21921`: Clean up RectangleSelector move code
+* :ghpull:`21925`: Drop labelling from PR welcome action
+* :ghpull:`14930`: Set Dock icon on the macosx backend
+* :ghpull:`21920`: Improve square state calculation in RectangleSelector
+* :ghpull:`21919`: Fix use_data_coordinates docstring
+* :ghpull:`21881`: Add a PolygonSelector.verts setter
+* :ghpull:`20839`: Fix centre and square state and add rotation for rectangle selector
+* :ghpull:`21874`: DOC: Add Date Tick Locators and Formatters example
+* :ghpull:`21799`: Added get_font_names() to fontManager
+* :ghpull:`21871`: DOC: Code from markevery_prop_cycle moved to test.
+* :ghpull:`21395`: Expire _check_savefig_extra_args-related deprecations.
+* :ghpull:`21867`: Remove unused bbox arg to _convert_agg_to_wx_bitmap.
+* :ghpull:`21868`: Use partialmethod for better signatures in backend_ps.
+* :ghpull:`21520`: Shorten some inset_locator docstrings.
+* :ghpull:`21737`: Update the "Rotating a 3D plot" gallery example to show all 3 rotation axes
+* :ghpull:`21851`: Re-order a widget test function
+* :ghpull:`10762`: Normalization of elevation and azimuth angles for surface plots
+* :ghpull:`21426`: Add ability to roll the camera in 3D plots
+* :ghpull:`21822`: Replace NSDictionary by switch-case.
+* :ghpull:`21512`: MNT: Add modifier key press handling to macosx backend
+* :ghpull:`21784`: Set macOS icon when using Qt backend
+* :ghpull:`21748`: Shorten PyObjectType defs in macosx.m.
+* :ghpull:`21809`: MNT: Turn all macosx warnings into errors while building
+* :ghpull:`21792`: Fix missing return value in closeButtonPressed.
+* :ghpull:`21767`: Inherit many macos backend docstrings.
+* :ghpull:`21766`: Don't hide build log on GHA.
+* :ghpull:`21728`: Factor out some macosx gil handling for py-method calls from callbacks.
+* :ghpull:`21754`: Update gitattributes so that objc diffs are correctly contextualized.
+* :ghpull:`21752`: Add a helper for directly output pdf streams.
+* :ghpull:`21750`: Don't sort pdf dicts.
+* :ghpull:`21745`: DOC: Clarify Coords Report Example
+* :ghpull:`21746`: Fix/add docstring signatures to many C++ methods.
+* :ghpull:`21631`: DOC: change gridspec tutorial to arranging_axes tutorial
+* :ghpull:`21318`: FIX: better error message for shared axes and axis('equal')
+* :ghpull:`21519`: mark_inset should manually unstale axes limits before drawing itself.
+* :ghpull:`21724`: Fix copyright date with SOURCE_DATE_EPOCH set
+* :ghpull:`21398`: FIX: logic of title repositioning
+* :ghpull:`21717`: Simplify macosx toolbar init.
+* :ghpull:`21690`: Whitespace/braces/#defines cleanup to macosx.
+* :ghpull:`21695`: Use _api.check_shape more.
+* :ghpull:`21698`: Small code cleanups and style fixes.
+* :ghpull:`21529`: Delay-load keymaps in toolmanager.
+* :ghpull:`21525`: Fix support for clim in scatter.
+* :ghpull:`21697`: Drop non-significant zeros from ps output.
+* :ghpull:`21692`: CI: Remove CI test runs from forks of matplotlib
+* :ghpull:`21591`: Make ToolFullScreen a Tool, not a ToolToggle.
+* :ghpull:`21677`: Simplify test for negative xerr/yerr.
+* :ghpull:`21657`: Replace some image_comparisons by return-value-tests/check_figures_e…
+* :ghpull:`21664`: Merge 3.5.x into main
+* :ghpull:`21490`: Make Line2D copy its inputs
+* :ghpull:`21639`: Skip some uses of packaging's PEP440 version for non-Python versions.
+* :ghpull:`21604`: Fix centre square rectangle selector part 1
+* :ghpull:`21593`: Check for images added-and-modified in a same PR
+* :ghpull:`20750`: Shorten issue templates
+* :ghpull:`21590`: Make gtk3 full_screen_toggle more robust against external changes.
+* :ghpull:`21582`: Organize checklist in PR template
+* :ghpull:`21580`: Rename/remove _lastCursor, as needed.
+* :ghpull:`21567`: Removed the range parameter from the validate_whiskers function's err…
+* :ghpull:`21565`: Further remove remnants of offset_position.
+* :ghpull:`21542`: [ENH]: Use new style format strings for colorbar ticks
+* :ghpull:`21564`: Skip invisible artists when doing 3d projection.
+* :ghpull:`21558`: Various small fixes for streamplot().
+* :ghpull:`21544`: Return minorticks as array, not as list.
+* :ghpull:`21546`: Added links to the mosaic docs in figure and pyplot module docstrings
+* :ghpull:`21545`: Turn mouseover into a mpl-style getset_property.
+* :ghpull:`21537`: Remove unnecessary False arg when constructing wx.App.
+* :ghpull:`21536`: Reword margins docstrings, and fix bounds on zmargin values.
+* :ghpull:`21535`: typo-correction-on-line-185
+* :ghpull:`21534`: Do not use space in directive calling.
+* :ghpull:`21494`: Adding tutorial links for blitting in widgets.py
+* :ghpull:`21407`: Stash exceptions when FT2Font closes the underlying stream.
+* :ghpull:`21431`: set_ticks([single_tick]) should also expand view limits.
+* :ghpull:`21444`: Make pipong example self-contained.
+* :ghpull:`21392`: Add label about workflow to new contributor PRs
+* :ghpull:`21440`: Install sphinx-panels along with development setup
+* :ghpull:`21434`: Remove coords_flat variable
+* :ghpull:`21415`: Move gui_support.macosx option to packages section.
+* :ghpull:`21412`: Privatize some SVG internal APIs.
+* :ghpull:`21401`: Uncamelcase some internal variables in axis.py; rename _get_tick_bboxes.
+* :ghpull:`21417`: Use Bbox.unit() more.
+* :ghpull:`20253`: Simplify parameter handling in FloatingAxesBase.
+* :ghpull:`21379`: Simplify filename tracking in FT2Font.
+* :ghpull:`21278`: Clear findfont cache when calling addfont().
+* :ghpull:`21400`: Use bbox.{size,bounds,width,height,p0,...} where appropriate.
+* :ghpull:`21408`: Reword annotations tutorial section titles.
+* :ghpull:`21371`: Rename default branch
+* :ghpull:`21389`: Log pixel coordinates in event_handling coords_demo example on terminal/console
+* :ghpull:`21376`: Factor common parts of saving to different formats using pillow.
+* :ghpull:`21377`: Enable tests for text path based markers
+* :ghpull:`21283`: Demonstrate inset_axes in scatter_hist example.
+* :ghpull:`21356`: Raise an exception when find_tex_file fails to find a file.
+* :ghpull:`21362`: Simplify wording of allowed errorbar() error values
+* :ghpull:`21274`: ENH: Add support to save images in WebP format
+* :ghpull:`21289`: Simplify _init_legend_box.
+* :ghpull:`21256`: Make image_comparison work even without the autoclose fixture.
+* :ghpull:`21343`: Fix type1font docstring markup/punctuation.
+* :ghpull:`21341`: Fix trivial docstring typo.
+* :ghpull:`21301`: Simplify ``Colormap.__call__`` a bit.
+* :ghpull:`21280`: Make ``Path.__deepcopy__`` interact better with subclasses, e.g. TextPath.
+* :ghpull:`21266`: Fix #21101 Add validator to errorbar method
+* :ghpull:`20921`: Fix problem with (deep)copy of TextPath
+* :ghpull:`20914`: 19195 rotated markers
+* :ghpull:`21276`: Add language about not assigning issues
+* :ghpull:`20715`: Improve Type-1 font parsing
+* :ghpull:`21218`: Parametrize/simplify test_missing_psfont.
+* :ghpull:`21213`: Compress comments in make_image.
+* :ghpull:`21187`: Deprecate error_msg_foo helpers.
+* :ghpull:`21190`: Deprecate mlab.stride_windows.
+* :ghpull:`21152`: Rename ``**kw`` to ``**kwargs``.
+* :ghpull:`21087`: Move colormap examples from userdemo to images_contours_and_fields.
+* :ghpull:`21074`: Deprecate MarkerStyle(None).
+* :ghpull:`20990`: Explicit registration of canvas-specific tool subclasses.
+* :ghpull:`21049`: Simplify setting Legend attributes
+* :ghpull:`21056`: Deprecate support for no-args MarkerStyle().
+* :ghpull:`21059`: Remove dummy test command from setup.py
+* :ghpull:`21015`: Prepare for rcParams.copy() returning a new RcParams instance in the future
+* :ghpull:`21021`: Factor out for_layout_only backcompat support in get_tightlayout.
+* :ghpull:`21023`: Inline ToolManager._trigger_tool to its sole call site.
+* :ghpull:`21005`: Test the rcParams deprecation machinery.
+* :ghpull:`21010`: Avoid TransformedBbox where unneeded.
+* :ghpull:`21019`: Reword custom_ticker1 example.
+* :ghpull:`20995`: Deprecate some backend_gtk3 helper globals.
+* :ghpull:`21004`: Remove now-unused rcParams _deprecated entries.
+* :ghpull:`20986`: Make HandlerLine2D{,Compound} inherit constructors from HandlerNpoints.
+* :ghpull:`20974`: Rename symbol_name to glyph_name where appropriate.
+* :ghpull:`20961`: Small cleanups to math_to_image.
+* :ghpull:`20957`: legend_handler_map cleanups.
+* :ghpull:`20955`: Remove unused HostAxes._get_legend_handles.
+* :ghpull:`20851`: Try to install the Noto Sans CJK font
+
+Issues (202):
+
+* :ghissue:`23827`: backend_gtk3agg.py calls set_device_scale
+* :ghissue:`23560`: [Doc]: mpl_toolkits.axes_grid still mentioned as maintained
+* :ghissue:`23794`: [Doc]: Version switcher broken in devdocs
+* :ghissue:`23806`: [Bug]: possible regression in axis ticks handling in matplotlib 3.6.0rc2
+* :ghissue:`22965`: [Bug]: triplot duplicates label legend
+* :ghissue:`23807`: streamplot raises ValueError when the input is zeros
+* :ghissue:`23761`: [Bug]: False positive legend handler warnings in 3.6.0.rc1
+* :ghissue:`23398`: [Bug]: Newer versions of matplotlib ignore xlabel on colorbar axis
+* :ghissue:`23699`: [Bug]: Bug with toolbar instantiation in notebook
+* :ghissue:`23745`: [Doc]: Minor rcParams/matplotlibrc doc issues
+* :ghissue:`23717`: [Bug]: AxesSubplot.get_yticks not returning the actual printed ticks
+* :ghissue:`21508`: [Doc]: Create diagram to show rotation directions for 3D plots
+* :ghissue:`23709`: [Bug]: colorbar with unattached mappables can't steal space
+* :ghissue:`23701`: [Bug]: plt.figure(), plt.close() leaks memory
+* :ghissue:`22409`: [Bug]: AttributeError: 'QResizeEvent' object has no attribute 'pos'
+* :ghissue:`19609`: DeprecationWarning when changing color maps
+* :ghissue:`23716`: MatplotlibDeprecationWarning removal hard-breaks seaborn in 3.6rc1
+* :ghissue:`23719`: [Bug]: register_cmap deprecation message seems wrong
+* :ghissue:`23707`: test_Normalize fails on aarch64/ppc64le/s390x
+* :ghissue:`21107`: [MNT]: Should plt.xticks() get a minor keyword argument
+* :ghissue:`23679`: [Doc]: Deprecated modules not in docs
+* :ghissue:`19550`: Arc and pathpatch_2d_to_3d plots full ellipse
+* :ghissue:`23329`: [Bug]: ``plt.autoscale()`` fails for partial ``Arc``
+* :ghissue:`11266`: Arc patch ignoring theta1/theta2 when added to Axes via PatchCollection
+* :ghissue:`4067`: 'Poly3DCollection' object has no attribute '_facecolors2d'
+* :ghissue:`23622`: [MNT]: make.bat not parsing sphinxopt
+* :ghissue:`23459`: [Bug]: 'Line3D' object has no attribute '_verts3d'
+* :ghissue:`23653`: [Bug]: macosx subplot tool causes segfault when window closed
+* :ghissue:`23660`: [Bug]: Test test_figure.py::test_subfigure_ss[png] FAILED on ppc64le
+* :ghissue:`23645`: [MNT]: Python 3.11 manylinux wheels
+* :ghissue:`23650`: TTF fonts loaded from file are not embedded/displayed properly when saved to pdf
+* :ghissue:`23583`: [Doc]: Document the position parameter in apply_aspect()
+* :ghissue:`23386`: setuptools_scm-git-archive is obsolete
+* :ghissue:`23220`: [Doc]: Clarify ``offset`` parameter in linestyle
+* :ghissue:`22746`: [Doc]: Document that rcParams['font.family'] can be a list
+* :ghissue:`8187`: Axes doesn't have ````legends```` attribute?
+* :ghissue:`23580`: [Bug]: TypeError when plotting against list of datetime.date where 0th element of list is None
+* :ghissue:`15514`: Relevant methods are only documented in base classes and thus not easily discoverable
+* :ghissue:`21611`: DOC: Add conda environment instructions to developers guide
+* :ghissue:`23487`: [Bug]: scatter plot color settings discarded unless c given
+* :ghissue:`22977`: [Bug]: offset dash linestyle has no effect in patch objects
+* :ghissue:`18883`: Matplotlib would not try to apply all the font in font list to draw all characters in the given string.
+* :ghissue:`22570`: [ENH]: Provide ``axis('equal')`` for ``Axes3D``.
+* :ghissue:`23433`: [Bug]: array-like linewidth raises an error for scatter3D
+* :ghissue:`12388`: Legend Title Left Alignment
+* :ghissue:`23375`: [Bug]: markerfacecoloralt not supported when drawing errorbars
+* :ghissue:`17973`: DOC: matplotlib.__doc__ not included in online docs ?
+* :ghissue:`23474`: [Bug]: ``\,`` and ``\mathrm{\,}`` are not identical in Mathtext when using CM and STIX
+* :ghissue:`8715`: event handlers have different signatures across backends
+* :ghissue:`18271`: PGF uses the minimal document class
+* :ghissue:`23324`: [Bug]: Exception not handled in widgetlock()
+* :ghissue:`15710`: doc for type of tz parameter is inconsistent throughout dates.py
+* :ghissue:`21165`: Hexbin marginals need a test for linear scaling
+* :ghissue:`23105`: [MNT]: Deprecate per-backend customization of draw_if_interactive
+* :ghissue:`23147`: [Bug]: with setuptools>=60, cannot find msbuild
+* :ghissue:`23379`: [Bug]: Offset notation on y-axis can overlap with a long title
+* :ghissue:`22819`: [Doc]: Make rect argument consistent in the docstrings
+* :ghissue:`23172`: [Bug]: Calling matplotlib.pyplot.show() outside of matplotlib.pyplot.rc_context no longer works
+* :ghissue:`23019`: [Bug]: ``UnicodeDecodeError`` when using some special and accented characters in TeX
+* :ghissue:`23334`: [Doc]: Tk embedding example crashes Spyder
+* :ghissue:`23298`: [Bug]: get_backend() clears figures from Gcf.figs if they were created under rc_context
+* :ghissue:`21942`: [ENH]: add width/height_ratios to subplots and friends
+* :ghissue:`23028`: [ENH]: contour kwarg for negative_linestyle
+* :ghissue:`19223`: Certain non-hashable parameters to text() give cryptic error messages
+* :ghissue:`18351`: Add the ability to plot striped lines
+* :ghissue:`23205`: [Bug]: URL-area not rotated in PDFs
+* :ghissue:`23268`: [Bug]: hyphen renders different length depending on presence of MathText
+* :ghissue:`23308`: [Bug]: set_visible() not working for 3d projection
+* :ghissue:`23296`: Set_color method for line2d object in latest document not work
+* :ghissue:`22992`: [Bug]: test_image_comparison_expect_rms nondeterministic failure
+* :ghissue:`23008`: [ENH]: Use ``\genfrac`` in display style?
+* :ghissue:`23214`: [MNT]: Rename examples with "test" in the name
+* :ghissue:`17852`: Thin space missing after mathtext operators
+* :ghissue:`12078`: Inconsistency in keyword-arguments ncol/ncols, nrow/nrows
+* :ghissue:`23239`: [Doc]: steps is not implemented in line styles.
+* :ghissue:`23151`: [MNT]: default date limits...
+* :ghissue:`9462`: Misaligned bottoms of subplots for png output with bbox_inches='tight'
+* :ghissue:`21369`: [Bug]: ax.invert_xaxis() and ax.invert_yaxis() both flip the X axis
+* :ghissue:`20797`: ``macosx`` cursors break with images
+* :ghissue:`23084`: [TST] Upcoming dependency test failures
+* :ghissue:`22910`: [Bug]: bar_label fails with nan errorbar values
+* :ghissue:`23074`: [Bug]: matplotlib crashes if ``_tkinter`` doesn't have ``__file__``
+* :ghissue:`23083`: [Bug]: Confusing error messages
+* :ghissue:`22391`: [Doc]: Remove "keywords" line at the bottom of all examples
+* :ghissue:`20202`: Daylocator causes frozen computer when used with FuncAnimation
+* :ghissue:`22529`: Replace C++ quad contouring code with use of ContourPy
+* :ghissue:`21710`: [ENH]: macosx backend does not respect rcParams["savefig.directory"]
+* :ghissue:`21880`: [Doc]: rrulewrapper not included in API docs
+* :ghissue:`22622`: [Bug]: Gaps and overlapping areas between bins when using float16
+* :ghissue:`23043`: [TST] Upcoming dependency test failures
+* :ghissue:`17960`: Line2D object markers are lost when retrieved from legend.get_lines() when linestyle='None'
+* :ghissue:`23026`: [MNT]: Require that matplotlibrc/style files use utf-8 (or have an encoding cookie)
+* :ghissue:`22947`: [Bug]: Can't use ``plt.sca()`` on axes created using subfigures
+* :ghissue:`22623`: [ENH]: support rect with constrained_layout ("layout only to part of the figure")
+* :ghissue:`22917`: "ab;cd" missing in subplot_mosaic tutorial
+* :ghissue:`22686`: [Bug]: cannot give init value for RangeSlider widget
+* :ghissue:`22740`: [MNT]: Add codespell to pre-commit hooks
+* :ghissue:`22893`: rainbow text example is broken
+* :ghissue:`21571`: [Doc]: Clarify text positioning
+* :ghissue:`22092`: [Bug]: Configure subplots dialog freezes for TkAgg with toolmanager
+* :ghissue:`22760`: [Bug]: Macosx legend picker doesn't work anymore
+* :ghissue:`16369`: Call to input blocks slider input on osx with the default agg 'MacOSX'. It works fine on when TkAgg is used.
+* :ghissue:`22915`: [Bug]: figure.raise_window rcParam does not work on MacOSX backend
+* :ghissue:`22930`: [Bug]: Regression in dashes due to #22569
+* :ghissue:`22859`: [Bug]: findSystemFonts should not look in subdirectories of C:\Windows\Fonts\
+* :ghissue:`22882`: Missing ``f`` prefix on f-strings
+* :ghissue:`22738`: [MNT]: make Axes.cla an alias for Axes.clear in all cases
+* :ghissue:`22708`: [TST] Upcoming dependency test failures
+* :ghissue:`8388`: Proposed ENH: Allow user to turn off breaking of streamlines in streamplot
+* :ghissue:`20755`: [Bug]: make_norm_from_scale should create picklable classes even when used in-line.
+* :ghissue:`18249`: Expand the explanation of the Object-Oriented interface
+* :ghissue:`22792`: [Bug]: .eps greyscale hatching of patches when lw=0
+* :ghissue:`22630`: [ENH]: enable passing of projection keyword to Axes.inset_axes
+* :ghissue:`22414`: [Bug]: bar_label overlaps bars when y-axis is inverted
+* :ghissue:`22726`: [Bug]: tripcolor ignores clim
+* :ghissue:`21635`: [ENH]: Add a nightly wheel build
+* :ghissue:`9994`: document where nightly wheels are published
+* :ghissue:`22350`: [Bug]: text.usetex Vs. DateFormatter
+* :ghissue:`4976`: missing imshow() subplots when using tight_layout()
+* :ghissue:`22150`: [ENH]: Tool icons are hardly visible in Tk when using a dark theme
+* :ghissue:`22662`: Leave color parameter empty should be fine[ENH]:
+* :ghissue:`22671`: [Doc]: plot_format adaption invalidates sphinx cache
+* :ghissue:`22582`: [Bug]: FontManager.addfont doesn't accept pathlib.Path of TTF font
+* :ghissue:`22657`: [ENH]: vector map
+* :ghissue:`16181`: The great API cleanup
+* :ghissue:`22636`: [Bug]: Infinite loop when there is single double quote in matplotlibrc
+* :ghissue:`22266`: [Doc]: Improve examples in documentation
+* :ghissue:`11861`: Figure does not close until script finishes execution
+* :ghissue:`19288`: Escape # character in matplotlibrc
+* :ghissue:`22579`: [Bug]: Replacement for epoch2num behaves differently (does not accept arrays)
+* :ghissue:`22605`: [Bug]: Tool contrast low with dark theme on macosx backend
+* :ghissue:`17642`: bring osx backend flush_events to feature parity with other backend
+* :ghissue:`19268`: Drawing the canvas does not populate ticklabels on MacOSX backend
+* :ghissue:`17445`: MacOSX does not render frames in which new artists are added when blitting
+* :ghissue:`10980`: Current versions cannot reproduce rotate_axes_3d_demo.py
+* :ghissue:`18451`: MacOSX backend fails with animation in certain scripts
+* :ghissue:`22603`: [MNT]: Replace str(n)cpy etc with safe versions (C++)
+* :ghissue:`19121`: Handle and label not created for Text with label
+* :ghissue:`22563`: [Doc]: annotation_clip=None not correctly documented
+* :ghissue:`12528`: Empty axes on draw after blitted animation finishes
+* :ghissue:`20991`: [Bug]: Error when using path effect with a PolyCollection
+* :ghissue:`19563`: path_effects kwarg triggers exception on 3D scatterplot
+* :ghissue:`8650`: System Error in backend_agg. (with a fix!)
+* :ghissue:`20294`: ``AxesImage.__str__`` is wrong if the image does not span the full Axes.
+* :ghissue:`18066`: Document minimum supported OSX version for macos backend
+* :ghissue:`17018`: Add documentation about transparency of frame
+* :ghissue:`22403`: [MNT]: Confusing prompt in docs issue template
+* :ghissue:`8839`: mpl_connect silently does nothing when passed an invalid event type string
+* :ghissue:`22343`: [MNT]: Delay (or make pending) the deprecation of set_constrained_layout/set_tight_layout
+* :ghissue:`21554`: [Bug]: ``ValueError`` upon deepcopy of a ``Figure`` object
+* :ghissue:`22369`: [Doc]: Incorrect comment in example code for creating adjacent subplots
+* :ghissue:`19174`: connectionstyle arc3 with high rad value pushes up data interval of x-axis and y-axis.
+* :ghissue:`8351`: seaborn styles make "+", "x" markers invisible; proposed workaround for shipped styles
+* :ghissue:`22278`: Deprecate/remove maxdict
+* :ghissue:`19276`: imshow with very large arrays not working as expected
+* :ghissue:`22035`: [ENH]: Specify a custom focal length / FOV for the 3d camera
+* :ghissue:`22264`: [Bug]: new constrained_layout causes axes to go invisible(?)
+* :ghissue:`21774`: [MNT]: Improvements to widget tests
+* :ghissue:`18722`: Consider removing AFM+mathtext support
+* :ghissue:`21540`: [Bug]: cm fontset in log scale does not use Unicode minus
+* :ghissue:`22062`: [Bug]: Autopositioned title overlaps with offset text
+* :ghissue:`22093`: [Bug]: AttributeError: 'AxesSubplot' object has no attribute 'add_text'
+* :ghissue:`22012`: [Bug]: Mouseover coordinate/value text should be right aligned
+* :ghissue:`21995`: [Bug]: triplot with 'ls' argument yields TypeError
+* :ghissue:`20249`: MatplotlibDeprecationWarning when updating rcparams
+* :ghissue:`15781`: MatplotlibDeprecationWarning examples.directory is deprecated
+* :ghissue:`13118`: No MatplotlibDeprecationWarning for default rcParams
+* :ghissue:`21978`: Remove logging debug of loaded modules
+* :ghissue:`11738`: pgf backend doesn't make background transparent
+* :ghissue:`18039`: Add ``_repr_html_`` for fonts
+* :ghissue:`21970`: [Bug]: tight layout breaks with toolbar.push_current()
+* :ghissue:`14850`: No icon showing up with macosx backend
+* :ghissue:`17283`: Create Date Formatter/Locator Reference
+* :ghissue:`21761`: [Doc]: add how to know available fonts...
+* :ghissue:`21863`: [Doc]: Remove example "prop_cycle property markevery in rcParams"
+* :ghissue:`10241`: Axes3D.view_init elevation issue between 270 and 360 degrees
+* :ghissue:`14453`: add third angle to view_init()
+* :ghissue:`20486`: Modifier key press events not recognized on MacOSX backend
+* :ghissue:`9837`: MacOS: Key modifiers deprecated
+* :ghissue:`11416`: RuntimeError: adjustable='datalim' is not allowed when both axes are shared.
+* :ghissue:`17711`: inset_locator.mark_inset() misplaces box connectors
+* :ghissue:`20854`: [Doc]: Incorrect copyright start year at the bottom of devdocs page
+* :ghissue:`21394`: [Bug]: Subplot title does not obey padding
+* :ghissue:`20998`: [Bug]: ToolManager does not respect rcParams["keymap.<any>"] set after import time
+* :ghissue:`7075`: Superscripts in axis label cut when saving .eps with bbox_inches="tight"
+* :ghissue:`21514`: [Doc]: Error message of validate_whiskers is not updated
+* :ghissue:`21532`: [Doc]: subplot_mosaic docstring should link to the tutorial
+* :ghissue:`16550`: Docs: performance discussion of tight_layout
+* :ghissue:`21378`: [ENH]: use new style format strings for colorbar ticks
+* :ghissue:`19323`: Streamplot color mapping fails on (near-)empty array.
+* :ghissue:`19559`: Axes.get_xticks() returns a numpy array but Axes.get_xticks(minor=True) returns a plain list
+* :ghissue:`21526`: [Doc]: Little Typo on Introductory Tutorial
+* :ghissue:`19195`: Rotate Markers in functions like plot, scatter, etcetera
+* :ghissue:`21364`: [Bug]: double free when FT2Font constructor is interrupted by KeyboardInterrupt
+* :ghissue:`16581`: Can't not refresh new font in running interpreter
+* :ghissue:`21162`: [ENH]: saving images in webp format
+* :ghissue:`18168`: The example of the testing decorator does not work.
+* :ghissue:`20943`: [Bug]: Deepcopy of TextPath fails
+* :ghissue:`21101`: [Bug]: Errorbars separated from markers with negative errors
+* :ghissue:`17986`: MEP22 per-backend tool registration
+* :ghissue:`4938`: Feature request: add option to disable mathtext parsing
+* :ghissue:`11435`: plt.subplot eats my subplots
diff --git a/doc/users/prev_whats_new/github_stats_3.6.1.rst b/doc/users/prev_whats_new/github_stats_3.6.1.rst
new file mode 100644
index 000000000000..d47dc28fa076
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.6.1.rst
@@ -0,0 +1,143 @@
+.. _github-stats-3-6-1:
+
+GitHub statistics for 3.6.1 (Oct 08, 2022)
+==========================================
+
+GitHub statistics for 2022/09/16 (tag: v3.6.0) - 2022/10/08
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 22 issues and merged 80 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/73?closed=1>`__
+
+The following 19 authors contributed 129 commits.
+
+* Antony Lee
+* baharev
+* David Stansby
+* dependabot[bot]
+* Eli Rykoff
+* Elliott Sales de Andrade
+* erykoff
+* Greg Lucas
+* hannah
+* Ian Hunt-Isaak
+* Jody Klymak
+* melissawm
+* Oscar Gustafsson
+* Ruth Comer
+* slackline
+* Steffen Rehberg
+* Thomas A Caswell
+* Tim Hoffmann
+* مهدي شينون (Mehdi Chinoune)
+
+GitHub issues and pull requests:
+
+Pull Requests (80):
+
+* :ghpull:`24124`: Backport PR #24111 on branch v3.6.x (FIX: add missing method to ColormapRegistry)
+* :ghpull:`24111`: FIX: add missing method to ColormapRegistry
+* :ghpull:`24117`: Backport PR #24113 on branch v3.6.x (Add exception class to pytest.warns calls)
+* :ghpull:`24116`: Backport PR #24115 on branch v3.6.x (Fix mask lookup in fill_between for NumPy 1.24+)
+* :ghpull:`24113`: Add exception class to pytest.warns calls
+* :ghpull:`24115`: Fix mask lookup in fill_between for NumPy 1.24+
+* :ghpull:`24112`: Backport PR #24109 on branch v3.6.x (DOC: add API change note for colorbar deprecation)
+* :ghpull:`24109`: DOC: add API change note for colorbar deprecation
+* :ghpull:`24107`: Backport PR #24088 on branch v3.6.x (MNT: make orphaned colorbar deprecate versus raise)
+* :ghpull:`24088`: MNT: make orphaned colorbar deprecate versus raise
+* :ghpull:`24103`: Backport PR #23684 on branch v3.6.x (Fix rectangle and hatches for colorbar)
+* :ghpull:`23684`: Fix rectangle and hatches for colorbar
+* :ghpull:`24087`: Backport PR #24084 on branch v3.6.x (Revert argument checking for label_mode)
+* :ghpull:`24084`: Revert argument checking for label_mode
+* :ghpull:`24078`: Backport PR #24047 on branch v3.6.x (Revert #22360: Let TeX handle multiline strings itself)
+* :ghpull:`24047`: Revert #22360: Let TeX handle multiline strings itself
+* :ghpull:`24077`: Backport PR #24054 on branch v3.6.x ( DOC: Move OO-examples from pyplot section)
+* :ghpull:`24054`:  DOC: Move OO-examples from pyplot section
+* :ghpull:`24072`: Backport PR #24069 on branch v3.6.x (Clarification of marker size in scatter)
+* :ghpull:`24073`: Backport PR #24070 on branch v3.6.x (DOC: colorbar may steal from array of axes)
+* :ghpull:`24070`: DOC: colorbar may steal from array of axes
+* :ghpull:`24069`: Clarification of marker size in scatter
+* :ghpull:`24059`: Backport PR #23638 on branch v3.6.x (FIX: correctly handle generic font families in svg text-as-text mode)
+* :ghpull:`23638`: FIX: correctly handle generic font families in svg text-as-text mode
+* :ghpull:`24048`: Backport PR #24045 on branch v3.6.x (Fix _FigureManagerGTK.resize on GTK4)
+* :ghpull:`24055`: Backport PR #24046 on branch v3.6.x (Ignore 'CFMessagePort: bootstrap_register' messages)
+* :ghpull:`24046`: Ignore 'CFMessagePort: bootstrap_register' messages
+* :ghpull:`24051`: Backport PR #24037 on branch v3.6.x ([DOC]: make spanselector example codeblock continuous)
+* :ghpull:`24037`: [DOC]: make spanselector example codeblock continuous
+* :ghpull:`24045`: Fix _FigureManagerGTK.resize on GTK4
+* :ghpull:`24043`: Backport PR #24041 on branch v3.6.x (DOC: Fix incorrect redirect)
+* :ghpull:`24030`: Backport PR #24019 on branch v3.6.x (Don't require FigureCanvas on backend module more)
+* :ghpull:`24040`: Backport PR #24018 on branch v3.6.x (When comparing eps images, run ghostscript with -dEPSCrop.)
+* :ghpull:`24018`: When comparing eps images, run ghostscript with -dEPSCrop.
+* :ghpull:`24033`: Backport PR #24032 on branch v3.6.x (Reword SpanSelector example.)
+* :ghpull:`24029`: Backport PR #24026 on branch v3.6.x (Don't modify Axes property cycle in stackplot)
+* :ghpull:`23994`: Backport PR #23964 on branch v3.6.x (Fix issue with empty line in ps backend)
+* :ghpull:`24019`: Don't require FigureCanvas on backend module more
+* :ghpull:`24026`: Don't modify Axes property cycle in stackplot
+* :ghpull:`24027`: Backport PR #23904 on branch v3.6.x (added a reversing section to colormap reference)
+* :ghpull:`24017`: Backport PR #24014 on branch v3.6.x (Bump pypa/cibuildwheel from 2.10.1 to 2.10.2)
+* :ghpull:`24014`: Bump pypa/cibuildwheel from 2.10.1 to 2.10.2
+* :ghpull:`24007`: Backport PR #24004 on branch v3.6.x (Increase consistency in tutorials and examples)
+* :ghpull:`23964`: Fix issue with empty line in ps backend
+* :ghpull:`23904`: added a reversing section to colormap reference
+* :ghpull:`23990`: Backport PR #23978 on branch v3.6.x (DOC: Suppress IPython output in examples and tutorials where not needed)
+* :ghpull:`23978`: DOC: Suppress IPython output in examples and tutorials where not needed
+* :ghpull:`23916`: Backport PR #23912 on branch v3.6.x (FIX: only expect FigureCanvas on backend module if using new style)
+* :ghpull:`23989`: Backport PR #23944 on branch v3.6.x (FIX: ValueError when hexbin is run with empty arrays and log scaling.)
+* :ghpull:`23944`: FIX: ValueError when hexbin is run with empty arrays and log scaling.
+* :ghpull:`23988`: Backport PR #23987 on branch v3.6.x (FIX: do not set constrained layout on false-y values)
+* :ghpull:`23987`: FIX: do not set constrained layout on false-y values
+* :ghpull:`23982`: Backport PR #23980 on branch v3.6.x (DOC: Move Quick Start Tutorial to first position)
+* :ghpull:`23979`: Backport PR #23975 on branch v3.6.x (Reword docstring of reset_position.)
+* :ghpull:`23975`: Reword docstring of reset_position.
+* :ghpull:`23966`: Backport PR #23930 on branch v3.6.x (Fix edge color, links, wording; closes matplotlib/matplotlib#23895)
+* :ghpull:`23971`: Backport PR #23906 on branch v3.6.x (Edit mplot3d examples for correctness and consistency)
+* :ghpull:`23906`: Edit mplot3d examples for correctness and consistency
+* :ghpull:`23963`: Backport PR #23957 on branch v3.6.x (Bump pypa/cibuildwheel from 2.9.0 to 2.10.1)
+* :ghpull:`23930`: Fix edge color, links, wording; closes matplotlib/matplotlib#23895
+* :ghpull:`23910`: FIX: do not append None to stream in ps
+* :ghpull:`23957`: Bump pypa/cibuildwheel from 2.9.0 to 2.10.1
+* :ghpull:`23960`: Backport PR #23947 on branch v3.6.x (Fix building on MINGW)
+* :ghpull:`23942`: DOC: fix versions in v3.6.x doc switcher
+* :ghpull:`23961`: Backport PR #23958 on branch v3.6.x (DOC: Remove Adding Animations section)
+* :ghpull:`23958`: DOC: Remove Adding Animations section
+* :ghpull:`23947`: Fix building on MINGW
+* :ghpull:`23945`: Backport PR #23941 on branch v3.6.x (consistent notation for minor/patch branches)
+* :ghpull:`23956`: Backport PR #23751 on branch v3.6.x (FIX: show bars when the first location is nan)
+* :ghpull:`23751`: FIX: show bars when the first location is nan
+* :ghpull:`23938`: Backport PR #23919 on branch v3.6.x (DOC: remove dead "Show Source" links)
+* :ghpull:`23952`: Backport PR #23951 on branch v3.6.x (DOC: Make animation continuous)
+* :ghpull:`23949`: DOC: Display "dev" instead of "devdocs" in the version switcher
+* :ghpull:`23940`: Fix typos in github_stats.rst
+* :ghpull:`23936`: Backport PR #23935 on branch v3.6.x (DOC: fix versions is doc switcher)
+* :ghpull:`23933`: Backport PR #23932 on branch v3.6.x (DOC: Fix formatting in image tutorial)
+* :ghpull:`23932`: DOC: Fix formatting in image tutorial
+* :ghpull:`23926`: Backport PR #23925 on branch v3.6.x (FIX: use process_event in dpi changes on macosx backend)
+* :ghpull:`23925`: FIX: use process_event in dpi changes on macosx backend
+* :ghpull:`23912`: FIX: only expect FigureCanvas on backend module if using new style
+
+Issues (22):
+
+* :ghissue:`23981`: [ENH]: Default ``matplotlib.colormaps[None]`` to call ``matplotlib.colormaps[matplotlib.rcParams['image.cmap']]``?
+* :ghissue:`24106`: [Bug]: fill_between gives IndexError with numpy 1.24.0.dev
+* :ghissue:`24053`: Cartopy axes_grid_basic example broken by Matplotlib 3.6
+* :ghissue:`23977`: [Bug]: Eqnarray in AnchoredText results in misplaced text (new in v3.6.0)
+* :ghissue:`23973`: [Bug]: ValueError: Unable to determine Axes to steal space for Colorbar.
+* :ghissue:`23456`: [Bug]: Horizontal colorbars drawn incorrectly with hatches
+* :ghissue:`15922`: Pyplot gallery section is mostly OO examples
+* :ghissue:`23700`: [Doc]: scatter points
+* :ghissue:`23492`: [Bug]: svg backend does not use configured generic family lists
+* :ghissue:`22528`: [Bug]: problem with font property in text elements of svg figures
+* :ghissue:`23911`: [Bug]: 3.6.0 doesn't interact well with pycharm throwing "backend_interagg" exception
+* :ghissue:`24024`: stackplot should not change Axes cycler
+* :ghissue:`23954`: [Bug]: Text label with empty line causes a "TypeError: cannot unpack non-iterable NoneType object" in PostScript backend
+* :ghissue:`23922`: [Bug]: Refactor of hexbin for 3.6.0 crashes with empty arrays and log scaling
+* :ghissue:`23986`: [Bug]: Constrained layout UserWarning even when False
+* :ghissue:`23895`: [Bug]: 3D surface is not plotted for the contour3d_3 example in the gallery
+* :ghissue:`23955`: [Doc]: Adding animations to Youtube channel
+* :ghissue:`23943`: [Bug]: Couldn't build matplotlib 3.6.0 with both Clang-15 and GCC-12
+* :ghissue:`23687`: [Bug]: barplot does not show anything when x or bottom start and end with NaN
+* :ghissue:`23876`: [Doc]: Missing source files
+* :ghissue:`23909`: [Doc]: add animation examples to show animated subplots
+* :ghissue:`23921`: [Bug]: resize_event deprecation warnings when creating figure on macOS with version 3.6.0
diff --git a/doc/users/prev_whats_new/github_stats_3.6.2.rst b/doc/users/prev_whats_new/github_stats_3.6.2.rst
new file mode 100644
index 000000000000..f633448aeaf1
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.6.2.rst
@@ -0,0 +1,151 @@
+.. _github-stats-3-6-2:
+
+GitHub statistics for 3.6.2 (Nov 02, 2022)
+==========================================
+
+GitHub statistics for 2022/10/08 (tag: v3.6.1) - 2022/11/02
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 21 issues and merged 86 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/75?closed=1>`__
+
+The following 22 authors contributed 27 commits.
+
+* Antony Lee
+* Carsten Schnober
+* dependabot[bot]
+* Elliott Sales de Andrade
+* hannah
+* j1642
+* Jaco Verster
+* jacoverster
+* Jae-Joon Lee
+* Jeffrey Aaron Paul
+* jeffreypaul15
+* Jody Klymak
+* Kostya Farber
+* Kyle Sunden
+* Martok
+* Muhammad Abdur Rakib
+* Oscar Gustafsson
+* Pavel Grunt
+* Ruth Comer
+* Thomas A Caswell
+* Tiger Nie
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (86):
+
+* :ghpull:`24341`: Backport PR #24301 on branch v3.6.x (Restore get_renderer function in deprecated tight_layout)
+* :ghpull:`24301`: Restore get_renderer function in deprecated tight_layout
+* :ghpull:`24337`: Backport PR #24238 on branch v3.6.x (Update example and docstring to encourage the use of functools.partial in FuncAnimation)
+* :ghpull:`24336`: Backport PR #24335 on branch v3.6.x (Fix missing word in ImageMagickWriter docstring.)
+* :ghpull:`20358`: Updates example and docstring to encourage the use of functools.partial in FuncAnimation
+* :ghpull:`24238`: Update example and docstring to encourage the use of functools.partial in FuncAnimation
+* :ghpull:`24335`: Fix missing word in ImageMagickWriter docstring.
+* :ghpull:`24330`: Backport PR #24282 on branch v3.6.x (Fix some minor docstring typos)
+* :ghpull:`24323`: Backport PR #24320 on branch v3.6.x (DOC: add warning note to imsave)
+* :ghpull:`24282`: Fix some minor docstring typos
+* :ghpull:`24327`: Backport PR #24310 on branch v3.6.x (show axes changing in animate decay example)
+* :ghpull:`24310`: show axes changing in animate decay example
+* :ghpull:`24324`: Backport PR #24259 on branch v3.6.x (Move empty hexbin fix to make_norm_from_scale.)
+* :ghpull:`24325`: Backport PR #24095 on branch v3.6.x (nb/webagg: Move mouse events to outer canvas div)
+* :ghpull:`24326`: Backport PR #24318 on branch v3.6.x (Bump pypa/cibuildwheel from 2.11.1 to 2.11.2)
+* :ghpull:`24318`: Bump pypa/cibuildwheel from 2.11.1 to 2.11.2
+* :ghpull:`24095`: nb/webagg: Move mouse events to outer canvas div
+* :ghpull:`24259`: Move empty hexbin fix to make_norm_from_scale.
+* :ghpull:`24320`: DOC: add warning note to imsave
+* :ghpull:`24297`: Backport PR #24294 on branch v3.6.x (Run test if fontconfig is present)
+* :ghpull:`24294`: Run test if fontconfig is present
+* :ghpull:`24286`: Backport PR #24284 on branch v3.6.x (Remove comment about cmap from voxels docstring)
+* :ghpull:`24284`: Remove comment about cmap from voxels docstring
+* :ghpull:`24280`: Backport PR #24145 on branch v3.6.x (Updated Angles on Bracket arrow styles example to make angles clear #23176)
+* :ghpull:`24145`: Updated Angles on Bracket arrow styles example to make angles clear #23176
+* :ghpull:`24270`: Backport PR #24265 on branch v3.6.x (Restore (and warn on) seaborn styles in style.library)
+* :ghpull:`24271`: Backport PR #24266 on branch v3.6.x (TST: Increase fp tolerance on more tests for new NumPy)
+* :ghpull:`24266`: TST: Increase fp tolerance on more tests for new NumPy
+* :ghpull:`24265`: Restore (and warn on) seaborn styles in style.library
+* :ghpull:`24267`: Backport PR #24261 on branch v3.6.x (Fix pie chart in demo_agg_filter.py)
+* :ghpull:`24261`: Fix pie chart in demo_agg_filter.py
+* :ghpull:`24258`: Backport PR #24108 on branch v3.6.x (Add 3D plots to plot_types doc page)
+* :ghpull:`24108`: Add 3D plots to plot_types doc page
+* :ghpull:`24255`: Backport PR #24250 on branch v3.6.x (Fix key reporting in pick events)
+* :ghpull:`24250`: Fix key reporting in pick events
+* :ghpull:`24237`: Backport PR #24197 on branch v3.6.x (Properly set and inherit backend_version.)
+* :ghpull:`24197`: Properly set and inherit backend_version.
+* :ghpull:`24234`: Backport PR #23607 on branch v3.6.x (DOC: document that appearance is part of our stable API)
+* :ghpull:`24233`: Backport PR #23985 on branch v3.6.x (Improve rubberband rendering in wx and tk)
+* :ghpull:`24232`: Backport PR #24096 on branch v3.6.x ([DOC]: Add simple animation scatter plot to the example documentation)
+* :ghpull:`24231`: Backport PR #24009 on branch v3.6.x (Fix evaluating colormaps on non-numpy arrays)
+* :ghpull:`24230`: Backport PR #24229 on branch v3.6.x (FIX: do not mutate dictionaries passed in by user)
+* :ghpull:`23607`: DOC: document that appearance is part of our stable API
+* :ghpull:`23985`: Improve rubberband rendering in wx and tk
+* :ghpull:`24096`: [DOC]: Add simple animation scatter plot to the example documentation
+* :ghpull:`24009`: Fix evaluating colormaps on non-numpy arrays
+* :ghpull:`24229`: FIX: do not mutate dictionaries passed in by user
+* :ghpull:`24223`: Backport PR #24184 on branch v3.6.x (Add tests for ToolManager)
+* :ghpull:`24219`: Backport PR #23995 on branch v3.6.x (DOC: Lowercase some parameter names)
+* :ghpull:`23995`: DOC: Lowercase some parameter names
+* :ghpull:`24184`: Add tests for ToolManager
+* :ghpull:`24211`: Backport PR #24202 on branch v3.6.x (Bump pypa/cibuildwheel from 2.10.2 to 2.11.1)
+* :ghpull:`24214`: Backport PR #24169 on branch v3.6.x ([DOC]: added parent link for ``FuncAnimation`` and ``ArtistAnimation``)
+* :ghpull:`24169`: [DOC]: add parent link for ``FuncAnimation`` and ``ArtistAnimation``
+* :ghpull:`24202`: Bump pypa/cibuildwheel from 2.10.2 to 2.11.1
+* :ghpull:`24206`: Backport PR #24081 on branch v3.6.x (TST: force test with shared test image to run in serial)
+* :ghpull:`24181`: Backport PR #24177 on branch v3.6.x (Don't simplify paths used for autoscaling)
+* :ghpull:`24200`: Backport PR #24193 on branch v3.6.x (DOC: Explain gridsize in hexbin())
+* :ghpull:`24201`: Backport PR #24194 on branch v3.6.x (DOC: Improve plot_directive documentation)
+* :ghpull:`24194`: DOC: Improve plot_directive documentation
+* :ghpull:`24193`: DOC: Explain gridsize in hexbin()
+* :ghpull:`24192`: Backport PR #24187 on branch v3.6.x (DOC: Fix toc structure in explain/interactive)
+* :ghpull:`24186`: Backport PR #24157 on branch v3.6.x (test only PR milestoning guidance)
+* :ghpull:`24187`: DOC: Fix toc structure in explain/interactive
+* :ghpull:`24190`: DOC: fix markup
+* :ghpull:`24157`: test only PR milestoning guidance
+* :ghpull:`24183`: Backport PR #24178 on branch v3.6.x (Fall back to Python-level Thread for GUI warning)
+* :ghpull:`24180`: Backport PR #24173 on branch v3.6.x (TST: convert nose-style tests)
+* :ghpull:`24178`: Fall back to Python-level Thread for GUI warning
+* :ghpull:`24177`: Don't simplify paths used for autoscaling
+* :ghpull:`24173`: TST: convert nose-style tests
+* :ghpull:`24174`: Backport PR #24171 on branch v3.6.x (Fix example where wrong variable was used)
+* :ghpull:`24176`: Backport PR #24167 on branch v3.6.x (FIX: turn off layout engine tightbbox)
+* :ghpull:`24167`: FIX: turn off layout engine tightbbox
+* :ghpull:`24171`: Fix example where wrong variable was used
+* :ghpull:`24172`: Backport PR #24158 on branch v3.6.x (Fix Qt with PySide6 6.4.0)
+* :ghpull:`24158`: Fix Qt with PySide6 6.4.0
+* :ghpull:`24165`: Backport PR #24164 on branch v3.6.x (Fix argument order in hist() docstring.)
+* :ghpull:`24164`: Fix argument order in hist() docstring.
+* :ghpull:`24151`: Backport PR #24149 on branch v3.6.x (FIX: handle input to ax.bar that is all nan)
+* :ghpull:`24149`: FIX: handle input to ax.bar that is all nan
+* :ghpull:`24146`: Backport PR #24137 on branch v3.6.x (Add note about blitting and zorder in animations)
+* :ghpull:`24137`: Add note about blitting and zorder in animations
+* :ghpull:`24134`: Backport PR #24130 on branch v3.6.x (DOC: align contour parameter doc with implementation)
+* :ghpull:`24130`: DOC: align contour parameter doc with implementation
+* :ghpull:`24081`: TST: force test with shared test image to run in serial
+
+Issues (21):
+
+* :ghissue:`20326`: FuncAnimation Named Arguments
+* :ghissue:`24332`: [Bug]: backend bug in matplotlib==3.6.1 with python3.11 and PySide6==6.4.0.1
+* :ghissue:`24296`: [Doc]:  Axes limits not updated in animate decay
+* :ghissue:`24089`: [Bug]: Resizing does not work in WebAgg backend in Safari
+* :ghissue:`3657`: matplotlib.pyplot.imsave colormaps some grayscale images before saving them
+* :ghissue:`24060`: [TST] Upcoming dependency test failures
+* :ghissue:`24264`: [Bug]: Setting matplotlib.pyplot.style.library['seaborn-colorblind'] result in key error on matplotlib v3.6.1
+* :ghissue:`23900`: [Doc]: Adding some 3D plots to plot gallery
+* :ghissue:`24199`: [Bug]: pick events do not forward mouseevent-key on Linux
+* :ghissue:`23969`: [ENH]: Make rubber band more visible
+* :ghissue:`23132`: [Bug]: call cmap object on torch.tensor will output first element all 0
+* :ghissue:`21349`: [Bug]: Hexbin gridsize interpreted differently for x and y
+* :ghissue:`22905`: [Doc]: Duplicated toc entries
+* :ghissue:`24094`: [Bug]: macOS: PyPy 3.8 (v7.3.9) threading get_native_id Broken
+* :ghissue:`24097`: [Bug]: ax.hist density not auto-scaled when using histtype='step'
+* :ghissue:`24148`: remove nose-style test classes
+* :ghissue:`24133`: [Bug]: Incorrect crop after constrained layout with equal aspect ratio and bbox_inches = tight
+* :ghissue:`24155`: [Bug]: TypeError: int() argument must be a string, a bytes-like object or a number, not 'KeyboardModifier'
+* :ghissue:`24127`: [Bug]: ax.bar raises for all-nan data on matplotlib 3.6.1
+* :ghissue:`2959`: artists zorder is ignored during animations
+* :ghissue:`24121`: [Doc]: Contour functions: auto-generated levels
diff --git a/doc/users/prev_whats_new/github_stats_3.6.3.rst b/doc/users/prev_whats_new/github_stats_3.6.3.rst
new file mode 100644
index 000000000000..b1d17a791c87
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.6.3.rst
@@ -0,0 +1,165 @@
+.. _github-stats-3-6-3:
+
+GitHub statistics for 3.6.3 (Jan 11, 2023)
+==========================================
+
+GitHub statistics for 2022/11/02 (tag: v3.6.2) - 2023/01/11
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 16 issues and merged 107 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/76?closed=1>`__
+
+The following 20 authors contributed 198 commits.
+
+* Antony Lee
+* Chahak Mehta
+* David Stansby
+* Elliott Sales de Andrade
+* Eric Larson
+* hannah
+* iofall
+* Jody Klymak
+* Kaidong Hu
+* Kyle Sunden
+* matt statham
+* Matthias Bussonnier
+* Muhammad Abdur Rakib
+* Oscar Gustafsson
+* ramvikrams
+* Ruth Comer
+* Steffen Rehberg
+* Thomas A Caswell
+* Tim Hoffmann
+* yuanx749
+
+GitHub issues and pull requests:
+
+Pull Requests (107):
+
+* :ghpull:`24939`: Backport PR #23390 on branch v3.6.x (FIX: colorbar contour with log norm should default to log locator and formatter...)
+* :ghpull:`24936`: Backport PR #24927 on branch v3.6.x (DOC: Remove space after directive name, before double-colon)
+* :ghpull:`23390`: FIX: colorbar contour with log norm should default to log locator and formatter...
+* :ghpull:`24932`: Backport PR #24783 on branch v3.6.x (inset locator fix with tests added)
+* :ghpull:`24783`: inset locator fix with tests added
+* :ghpull:`24927`: DOC: Remove space after directive name, before double-colon
+* :ghpull:`24881`: Backport PR #24880 on branch v3.6.x (Minor cleanups to named colors example.)
+* :ghpull:`24876`: Backport PR #24873 on branch v3.6.x (Copy-edit fonts docs.)
+* :ghpull:`24857`: Backport PR #24856 on branch v3.6.x (fix typo)
+* :ghpull:`24852`: Backport PR #24843 on branch v3.6.x (Show that fill_between and span_where provide similar functionalities.)
+* :ghpull:`24808`: Backport PR #24807 on branch v3.6.x (Axes.stem docstring document orientation as literals)
+* :ghpull:`24807`: Axes.stem docstring document orientation as literals
+* :ghpull:`24791`: Backport PR #24785 on branch v3.6.x (Fix random generation of single floats)
+* :ghpull:`24777`: Backport PR #24772 on branch v3.6.x (Fix Left ventricle bullseye example)
+* :ghpull:`24775`: Backport PR #24774 on branch v3.6.x (DOC: fix strip_chart example with numpy 1.24)
+* :ghpull:`24765`: Backport PR #24764 on branch v3.6.x (DOC: ``subplot_mosaic`` tutorial - clarify ratios keywords used directly)
+* :ghpull:`24739`: Backport PR #24732 on branch v3.6.x (Use masked stack to preserve mask info)
+* :ghpull:`24738`: Backport PR #24735 on branch v3.6.x (Correct note about aspect)
+* :ghpull:`24732`: Use masked stack to preserve mask info
+* :ghpull:`24735`: Correct note about aspect
+* :ghpull:`24729`: Backport PR #24715 on branch v3.6.x (Add note that users do not instantiate Axes directly)
+* :ghpull:`24715`: Add note that users do not instantiate Axes directly
+* :ghpull:`24721`: Backport PR #24607 on branch v3.6.x (DOC: tweak wording on Figure.show warning)
+* :ghpull:`24607`: DOC: tweak wording on Figure.show warning
+* :ghpull:`24694`: Backport PR #24692 on branch v3.6.x (Avoid rgba8888->argb32 conversion if qt can do it for us.)
+* :ghpull:`24692`: Avoid rgba8888->argb32 conversion if qt can do it for us.
+* :ghpull:`24684`: Backport PR #24654: Don't manually invalidate cached lines in _update_transScale
+* :ghpull:`24687`: Backport PR #24003 on branch v3.6.x (Fix wording and links lifecycle tutorial)
+* :ghpull:`24685`: Backport PR #23974 on branch v3.6.x (Fix repeated word typos)
+* :ghpull:`24680`: Backport PR #24677 on branch v3.6.x (FIX: do not replace the Axes._children list object)
+* :ghpull:`24677`: FIX: do not replace the Axes._children list object
+* :ghpull:`24659`: Backport PR #24657 on branch v3.6.x (BUG: Fix bug with mutable input modification)
+* :ghpull:`24657`: BUG: Fix bug with mutable input modification
+* :ghpull:`24654`: Don't manually invalidate cached lines in _update_transScale.
+* :ghpull:`24650`: Backport PR #24645 on branch v3.6.x (Removed 'above' wording from Input hook integration docs (#24632))
+* :ghpull:`24647`: Backport PR #24643 on branch v3.6.x (DOC: annotation coords are not floats)
+* :ghpull:`24643`: DOC: annotation coords are not floats
+* :ghpull:`24625`: Backport PR #24606: FIX: do not use deprecated API in gtk4 backend
+* :ghpull:`24633`: Backport PR #24592 on branch v3.6.x (DOC: Don't try to link paths that are on a different drive)
+* :ghpull:`24592`: DOC: Don't try to link paths that are on a different drive
+* :ghpull:`24628`: Backport PR #24584 on branch v3.6.x (DOC: add "See Also: draw_idle" reference to pyplot.draw)
+* :ghpull:`24584`: DOC: add "See Also: draw_idle" reference to pyplot.draw
+* :ghpull:`24601`: Backport PR #24600 on branch v3.6.x (Fix: Gracefully fail the string validator for tuple inputs)
+* :ghpull:`24609`: Backport PR #24595 on branch v3.6.x (ci: Stop building wheels on AppVeyor)
+* :ghpull:`24616`: Backport PR #24397 on branch v3.6.x (Simplify appveyor to only use conda)
+* :ghpull:`24615`: Backport PR #24598 on branch v3.6.x (Check for errors/warnings on failed doc-builds)
+* :ghpull:`24606`: FIX: do not use deprecated API in gtk4 backend
+* :ghpull:`24612`: Backport PR #23868 on branch v3.6.x (Show errors and warnings in doc CI after build.)
+* :ghpull:`24595`: ci: Stop building wheels on AppVeyor
+* :ghpull:`24600`: Fix: Gracefully fail the string validator for tuple inputs
+* :ghpull:`24593`: Backport PR #24580 on branch v3.6.x (Update the polar transform information in doc #24499)
+* :ghpull:`24587`: Backport PR #24579: Add explicit permissions to GitHub Actions
+* :ghpull:`24579`: Add explicit permissions to GitHub Actions
+* :ghpull:`24561`: Backport PR #24540 on branch v3.6.x (DOC: add note about enabling c++11 support for old gcc)
+* :ghpull:`24559`: Backport PR #24299 on branch v3.6.x (Rework style sheet reference example to cycle props)
+* :ghpull:`24551`: Backport PR #24548 on branch v3.6.x (DOC: improved the doc for layout_engine.py)
+* :ghpull:`24548`: DOC: improved the doc for layout_engine.py
+* :ghpull:`24535`: Backport PR #24514 on branch v3.6.x (Fix potential issue in contour)
+* :ghpull:`24534`: Backport PR #24521 on branch v3.6.x (Doc: improve spelling and grammar)
+* :ghpull:`24533`: Backport PR #24517 on branch v3.6.x (DOC: improve grammar and consistency)
+* :ghpull:`24532`: Backport PR #24520 on branch v3.6.x (Doc: Fix grammar and spelling)
+* :ghpull:`24514`: Fix potential issue in contour
+* :ghpull:`24521`: Doc: improve spelling and grammar
+* :ghpull:`24517`: DOC: improve grammar and consistency
+* :ghpull:`24520`: Doc: Fix grammar and spelling
+* :ghpull:`24515`: Backport PR #24512 on branch v3.6.x (Tweak markup in toolkits tutorials.)
+* :ghpull:`24503`: Backport PR #24502 on branch v3.6.x (Remove link from demo_floating_axes title.)
+* :ghpull:`24505`: Backport PR #24482 on branch v3.6.x (Use relative frame path in HTMLWriter)
+* :ghpull:`24506`: Backport of PR#24488 (Update for pydata-sphinx-theme 0.12.0)
+* :ghpull:`24482`: Use relative frame path in HTMLWriter
+* :ghpull:`24496`: Backport PR #24495 on branch v3.6.x (Update adding of google analytics key for docs)
+* :ghpull:`24495`: Update adding of google analytics key for docs
+* :ghpull:`24488`: Update for pydata-sphinx-theme 0.12.0
+* :ghpull:`24485`: Backport PR #24481 on branch v3.6.x (Fix floating-point drift in oscilloscope example)
+* :ghpull:`24475`: DOC: Fix examples gallery layout issues
+* :ghpull:`24478`: Backport PR #24444 on branch v3.6.x (DOC: AnnotationBbox keyword descriptions)
+* :ghpull:`24444`: DOC: AnnotationBbox keyword descriptions
+* :ghpull:`24468`: Backport PR #24429 on branch v3.6.x (DOC: Clarify transparency in colors)
+* :ghpull:`24466`: Backport PR #24460 on branch v3.6.x (Define autoscale() based on autoscale_None().)
+* :ghpull:`24460`: Define autoscale() based on autoscale_None().
+* :ghpull:`24463`: Backport PR #24459 on branch v3.6.x (removed unused variable and fixed text in doc)
+* :ghpull:`24459`: removed unused variable and fixed text in doc
+* :ghpull:`24458`: Backport PR #24434 on branch v3.6.x (Fix pyplot.figlegend docstring)
+* :ghpull:`24434`: Fix pyplot.figlegend docstring
+* :ghpull:`24456`: Backport PR #24402 on branch v3.6.x (DOC: Fix title formats in backend api docs)
+* :ghpull:`24438`: Backport PR #24435 on branch v3.6.x (Minor improvements to LogLocator docstring)
+* :ghpull:`24435`: Minor improvements to LogLocator docstring
+* :ghpull:`24426`: Backport PR #24422 on branch v3.6.x (Make QT_API a link in the qt embedding example.)
+* :ghpull:`24411`: Backport PR #24407 on branch v3.6.x (Reword "Reordering is not commutative" phrase in tutorial.)
+* :ghpull:`24400`: Backport PR #24399 on branch v3.6.x (Fix docstring of Figure.subfigures.)
+* :ghpull:`24399`: Fix docstring of Figure.subfigures.
+* :ghpull:`24391`: Backport PR #24380 on branch v3.6.x (DOC: Remove the example "Pythonic Matplotlib")
+* :ghpull:`24384`: Backport PR #24377 on branch v3.6.x (DOC: Cleanup Spine placement example)
+* :ghpull:`24381`: Backport PR #24366 on branch v3.6.x (DOC: Improve Image Slices Viewer example)
+* :ghpull:`24382`: Backport PR #24378 on branch v3.6.x (DOC: Cleanup spines usage in examples)
+* :ghpull:`24378`: DOC: Cleanup spines usage in examples
+* :ghpull:`24366`: DOC: Improve Image Slices Viewer example
+* :ghpull:`24370`: Backport PR #24368 on branch v3.6.x (DOC: Install dev dependencies before building matplotlib)
+* :ghpull:`24368`: DOC: Install dev dependencies before building matplotlib
+* :ghpull:`24365`: Backport PR #24363 on branch v3.6.x (DOC: Fix syntax of suggestion)
+* :ghpull:`24358`: Backport PR #24354 on branch v3.6.x (DOC: clarify rc_context resets all rcParams changes)
+* :ghpull:`24354`: DOC: clarify rc_context resets all rcParams changes
+* :ghpull:`24353`: Backport PR #24343 on branch v3.6.x (Emit "axes not compatible with tight_layout" in a single place.)
+* :ghpull:`24343`: Emit "axes not compatible with tight_layout" in a single place.
+* :ghpull:`24346`: Backport PR #24344 on branch v3.6.x (Add test for colorbar extend alpha)
+* :ghpull:`24344`: Add test for colorbar extend alpha
+* :ghpull:`23974`: Fix repeated word typos
+
+Issues (16):
+
+* :ghissue:`23389`: [Bug]: Colorbar with log scales wrong format
+* :ghissue:`24589`: [Bug]: inset_locator is broken when used with subfigures
+* :ghissue:`10160`: Low resolution (dpi problem) with Qt5 backend on new iMac Pro Retina
+* :ghissue:`24545`: [Bug]: ``matplotlib.pyplot.scatter`` does not respect mask rules with ``datetime``
+* :ghissue:`24639`: [Bug]: The Axes3D does not work as expected.
+* :ghissue:`22169`: [Doc]: figure.show works beyond what is documented
+* :ghissue:`23968`: [Bug]: Zoom rubber band lags in larger window
+* :ghissue:`24574`: [Bug]: Extension error (sphinx.ext.linkcode) while building docs
+* :ghissue:`24602`: ``close_event`` deprecated warning.
+* :ghissue:`24518`: [Doc]: ``layout_engine`` description
+* :ghissue:`23581`: [BUG]: frame paths relative to the html file when saving an animation to html
+* :ghissue:`23976`: [Doc]: Examples Gallery Layout changed to one or two columns
+* :ghissue:`24390`: [Doc]: alpha setting for annotation ``TextArea``
+* :ghissue:`24433`: [Doc]: figlegend examples call ``fig.figlegend`` instead of ``plt.figlegend`` or ``fig.legend``
+* :ghissue:`24360`: [ENH]: imshow support for multiple slice image volume
+* :ghissue:`24359`: [Bug]: Documentation not so clear that a C/C++-compiler is required to install from source
diff --git a/doc/users/prev_whats_new/github_stats_3.7.0.rst b/doc/users/prev_whats_new/github_stats_3.7.0.rst
new file mode 100644
index 000000000000..754c4c1fc059
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.7.0.rst
@@ -0,0 +1,681 @@
+.. _github-stats-3-7-0:
+
+GitHub statistics for 3.7.0 (Feb 13, 2023)
+==========================================
+
+GitHub statistics for 2022/09/16 (tag: v3.6.0) - 2023/02/13
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 120 issues and merged 427 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/70?closed=1>`__
+
+The following 112 authors contributed 1962 commits.
+
+* Abhijnan Bajpai
+* Adrien F. Vincent
+* Ahoy Ahoy
+* Akshit Tyagi
+* Ali Meshkat
+* Almar Klein
+* Andrés Martínez
+* Ante Sikic
+* Antony Lee
+* Augustin LAVILLE
+* baharev
+* cargobuild
+* Carsten Schnober
+* Chahak Mehta
+* Charisma Kausar
+* David Stansby
+* dependabot[bot]
+* DerWeh
+* Eero Vaher
+* Elliott Sales de Andrade
+* Eric Larson
+* Eric Prestat
+* erykoff
+* EunHo Lee
+* Felix Goudreault
+* Greg Lucas
+* hannah
+* Ian Hunt-Isaak
+* Ian Thomas
+* intellizEHL
+* iofall
+* j1642
+* jacoverster
+* Jae-Joon Lee
+* Jakub Klus
+* James Braza
+* Jay Stanley
+* Jef Myers
+* jeffreypaul15
+* Jefro
+* Jody Klymak
+* John Paul Jepko
+* Joseph Fox-Rabinovitz
+* Joshua Barrass
+* Julian Chen
+* Junaid Khan
+* Justin Tracey
+* Kaidong Hu
+* Kanza
+* Karan
+* Kian Eliasi
+* kolibril13
+* Kostya Farber
+* Krutarth Patel
+* Kyle Sunden
+* Leo Singer
+* Lucas Ricci
+* luke
+* Marc Van den Bossche
+* Martok
+* Marvvxi
+* Matthew Feickert
+* Mauricio Collares
+* MeeseeksMachine
+* melissawm
+* Mikhail Ryazanov
+* Muhammad Abdur Rakib
+* noatamir
+* NRaudseps
+* Olivier Castany
+* Oscar Gustafsson
+* parthpankajtiwary
+* Paul Seyfert
+* Pavel Grunt
+* Pieter Eendebak
+* PIotr Strzelczyk
+* Pratim Ugale
+* pre-commit-ci[bot]
+* ramvikrams
+* richardsheridan
+* Ruth Comer
+* Ryan May
+* saranti
+* Scott Shambaugh
+* Shabnam Sadegh
+* Shawn Zhong
+* Simon Waldherr
+* Skhaki18
+* slackline
+* Snipeur060
+* Sourajita Dewasi
+* SourajitaDewasi
+* Stefanie Molin
+* Steffen Rehberg
+* Sven Eschlbeck
+* sveneschlbeck
+* takimata
+* tfpf
+* Thomas A Caswell
+* Tiger Nie
+* Tim Hoffmann
+* Tom
+* Tortar
+* tsumli
+* tybeller
+* vdbma
+* Vishal Pankaj Chandratreya
+* vivekvedant
+* whyvra
+* yuanx749
+* zhizheng1
+* مهدي شينون (Mehdi Chinoune)
+
+GitHub issues and pull requests:
+
+Pull Requests (427):
+
+* :ghpull:`25201`: Backport PR #25196 on branch v3.7.x (Add deprecation for setting data with non sequence type in ``Line2D``)
+* :ghpull:`25196`: Add deprecation for setting data with non sequence type in ``Line2D``
+* :ghpull:`25197`: Backport PR #25193 on branch v3.7.x (Fix displacement of colorbar for eps with bbox_inches='tight')
+* :ghpull:`25193`: Fix displacement of colorbar for eps with bbox_inches='tight'
+* :ghpull:`24781`: DOC: restore SHA to footer
+* :ghpull:`25188`: Backport PR #25085 on branch v3.7.x (FIX: only try to update blit caches if the canvas we expect)
+* :ghpull:`25170`: Backport PR #25097 on branch v3.7.x (fix FigureCanvasTkAgg memory leak via weakrefs)
+* :ghpull:`25186`: Backport PR #24893 on branch v3.7.x (STY: make allowed line length 9 longer to 88 from 79)
+* :ghpull:`25185`: Backport PR #25183 on branch v3.7.x (FIX: do not use deprecated API internally)
+* :ghpull:`25184`: Backport PR #25174 on branch v3.7.x (Accept LA icons for the toolbar)
+* :ghpull:`25085`: FIX: only try to update blit caches if the canvas we expect
+* :ghpull:`25183`: FIX: do not use deprecated API internally
+* :ghpull:`25182`: Backport PR #25052 on branch v3.7.x (Support both Bbox and list for bbox to table/Table)
+* :ghpull:`25174`: Accept LA icons for the toolbar
+* :ghpull:`25052`: Support both Bbox and list for bbox to table/Table
+* :ghpull:`25095`: Backport PR #23442 on branch v3.7.x (Remove need to detect math mode in pgf strings)
+* :ghpull:`25097`: fix FigureCanvasTkAgg memory leak via weakrefs
+* :ghpull:`25167`: Backport PR #25122 on branch v3.7.x (FIX: scaling factor for window with negative value)
+* :ghpull:`25122`: FIX: scaling factor for window with negative value
+* :ghpull:`25161`: Backport PR #25158 on branch v3.7.x (Disconnect SubplotTool destroyer callback on tool_fig close)
+* :ghpull:`25160`: Backport PR #25129 on branch v3.7.x (Undeprecate Cursor event handlers)
+* :ghpull:`25158`: Disconnect SubplotTool destroyer callback on tool_fig close
+* :ghpull:`25129`: Undeprecate Cursor event handlers
+* :ghpull:`25154`: Backport PR #25151 on branch v3.7.x (Increase timeout to GitHub API)
+* :ghpull:`25151`: Increase timeout to GitHub API
+* :ghpull:`25136`: Backport PR #25126 on branch v3.7.x (FIX: fully invalidate TransformWrapper parents before swapping)
+* :ghpull:`25132`: Backport PR #24993 on branch v3.7.x ([DOC] GitHub spelling and links)
+* :ghpull:`25126`: FIX: fully invalidate TransformWrapper parents before swapping
+* :ghpull:`24993`: [DOC] GitHub spelling and links
+* :ghpull:`25118`: Backport PR #25113 on branch v3.7.x (Fix outdated comment re: _update_label_position.)
+* :ghpull:`25113`: Fix outdated comment re: _update_label_position.
+* :ghpull:`25111`: Backport PR #25110 on branch v3.7.x (Stop recommending ``ncol`` in legend examples)
+* :ghpull:`25110`: Stop recommending ``ncol`` in legend examples
+* :ghpull:`25106`: Fix cursor_demo wrt. Line2D.set_x/ydata not accepting scalars anymore.
+* :ghpull:`25103`: Backport PR #25098 on branch v3.7.x (Correctly pass valinit as keyword in SliderTool.)
+* :ghpull:`25098`: Correctly pass valinit as keyword in SliderTool.
+* :ghpull:`23442`: Remove need to detect math mode in pgf strings
+* :ghpull:`25093`: Backport PR #25092 on branch v3.7.x (Fix distribution of test data)
+* :ghpull:`24893`: STY: make allowed line length 9 longer to 88 from 79
+* :ghpull:`25092`: Fix distribution of test data
+* :ghpull:`25089`: Backport PR #25088 on branch v3.7.x (DOC: Fix broken cross-reference when building PDF)
+* :ghpull:`25088`: DOC: Fix broken cross-reference when building PDF
+* :ghpull:`25083`: Backport PR #25074 on branch v3.7.x (Revert "Use system distutils instead of the setuptools copy")
+* :ghpull:`25082`: Backport PR #25079 on branch v3.7.x (FIX: Only send one update signal when autoscaling norms)
+* :ghpull:`25084`: DOC: Fix typos in GitHub stats
+* :ghpull:`25074`: Revert "Use system distutils instead of the setuptools copy"
+* :ghpull:`25079`: FIX: Only send one update signal when autoscaling norms
+* :ghpull:`25072`: Merge v3.6.x into v3.7.x
+* :ghpull:`25071`: Backport PR #25039 on branch v3.7.x (Updated WebAgg JS to check and send request over wss if using HTTPS)
+* :ghpull:`25039`: Updated WebAgg JS to check and send request over wss if using HTTPS
+* :ghpull:`25070`: Backport PR #25058 on branch v3.7.x (fix for pcolormesh doesn't allow shading = 'flat' in the option)
+* :ghpull:`25058`: fix for pcolormesh doesn't allow shading = 'flat' in the option
+* :ghpull:`25067`: Backport PR #25054 on branch v3.7.x (Remove note that mathtext.fontset = "custom" is unsupported.)
+* :ghpull:`25066`: Backport PR #24999 on branch v3.7.x (DOC: figure explanation)
+* :ghpull:`25054`: Remove note that mathtext.fontset = "custom" is unsupported.
+* :ghpull:`25065`: Backport PR #24838 on branch v3.7.x (Add styling support to Check and Radio buttons )
+* :ghpull:`24999`: DOC: figure explanation
+* :ghpull:`24838`: Add styling support to Check and Radio buttons
+* :ghpull:`25056`: Backport PR #25055 on branch v3.7.x (Reword awkward sentence in FAQ.)
+* :ghpull:`25055`: Reword awkward sentence in FAQ.
+* :ghpull:`25049`: Backport PR #25047 on branch v3.7.x (Remove dead code from deprecated-and-removed block)
+* :ghpull:`25047`: Remove dead code from deprecated-and-removed block
+* :ghpull:`25037`: Backport PR #25018 on branch v3.7.x (Simplify "artist reference" example.)
+* :ghpull:`25018`: Simplify "artist reference" example.
+* :ghpull:`25034`: Backport PR #24812 on branch v3.7.x ([Doc] expanded basic pie example)
+* :ghpull:`24812`: [Doc] expanded basic pie example
+* :ghpull:`25029`: Backport PR #25019 on branch v3.7.x (Tweak titles pyplot examples.)
+* :ghpull:`25019`: Tweak titles pyplot examples.
+* :ghpull:`25026`: Backport PR #25017 on branch v3.7.x (Capitalize headings in example Gallery)
+* :ghpull:`25017`: Capitalize headings in example Gallery
+* :ghpull:`25010`: Backport PR #24989 on branch v3.7.x (Suppress pyparsing warning)
+* :ghpull:`25008`: Backport PR #25004 on branch v3.7.x (Bump pypa/cibuildwheel from 2.11.4 to 2.12.0)
+* :ghpull:`24989`: Suppress pyparsing warning
+* :ghpull:`25004`: Bump pypa/cibuildwheel from 2.11.4 to 2.12.0
+* :ghpull:`25001`: Backport PR #25000 on branch v3.7.x (Update matplotlibrc urls)
+* :ghpull:`25000`: Update matplotlibrc urls
+* :ghpull:`24977`: Backport PR #24970 on branch v3.7.x (FIX: Handle uint8 indices properly for colormap lookups)
+* :ghpull:`24970`: FIX: Handle uint8 indices properly for colormap lookups
+* :ghpull:`24975`: Backport PR #24971 on branch v3.7.x (FIX: adjust_bbox should not modify layout engine)
+* :ghpull:`24974`: Backport PR #24973 on branch v3.7.x (MNT: Fix double % signs in matplotlibrc)
+* :ghpull:`24966`: Backport PR #24965 on branch v3.7.x (Remove additional deprecations from 3.5)
+* :ghpull:`24971`: FIX: adjust_bbox should not modify layout engine
+* :ghpull:`24973`: MNT: Fix double % signs in matplotlibrc
+* :ghpull:`24965`: Remove additional deprecations from 3.5
+* :ghpull:`24963`: Backport PR #24912 on branch v3.7.x (Remove contour warning for "no-valid-levels".)
+* :ghpull:`24962`: Backport PR #24957 on branch v3.7.x (DOC: Enable Opensearch)
+* :ghpull:`24961`: Backport PR #24948 on branch v3.7.x (Remove remaining deprecations from 3.5)
+* :ghpull:`24959`: Backport PR #24254 on branch v3.7.x (Expire deprecations in widgets and keyword only arguments for Selectors)
+* :ghpull:`24912`: Remove contour warning for "no-valid-levels".
+* :ghpull:`24960`: Backport PR #24825 on branch v3.7.x (Allow non-default scales on polar axes)
+* :ghpull:`24957`: DOC: Enable Opensearch
+* :ghpull:`24948`: Remove remaining deprecations from 3.5
+* :ghpull:`24825`: Allow non-default scales on polar axes
+* :ghpull:`24254`: Expire deprecations in widgets and keyword only arguments for Selectors
+* :ghpull:`24956`: Backport PR #24955 on branch v3.7.x (Cleanup bullseye plot example.)
+* :ghpull:`24955`: Cleanup bullseye plot example.
+* :ghpull:`24949`: Backport PR #24918 on branch v3.7.x (DOC: animation faster)
+* :ghpull:`24947`: Auto backport of pr 24897 on v3.7.x
+* :ghpull:`24945`: Backport PR #24940 on branch v3.7.x ([MNT] specify which gallery sections come last)
+* :ghpull:`24918`: DOC: animation faster
+* :ghpull:`24917`: Backport PR #24897: DOC: Add ref for every under examples/animation
+* :ghpull:`24940`: [MNT] specify which gallery sections come last
+* :ghpull:`24941`: Backport PR #24655 on branch v3.7.x (Update font_manager to only use registry on Win)
+* :ghpull:`24655`: Update font_manager to only use registry on Win
+* :ghpull:`24937`: Backport PR #24470 on branch v3.7.x ([ENH] hatch keyword for pie + some pie documentation)
+* :ghpull:`24938`: Backport PR #23390 on branch v3.7.x (FIX: colorbar contour with log norm should default to log locator and formatter...)
+* :ghpull:`24935`: Backport PR #24934 on branch v3.7.x (Swap ipython directives for code-block directives)
+* :ghpull:`24470`: [ENH] hatch keyword for pie + some pie documentation
+* :ghpull:`24933`: Backport PR #24924 on branch v3.7.x (Fix toggling layout engines)
+* :ghpull:`24934`: Swap ipython directives for code-block directives
+* :ghpull:`24931`: Backport PR #24783 on branch v3.7.x (inset locator fix with tests added)
+* :ghpull:`24924`: Fix toggling layout engines
+* :ghpull:`24928`: Backport PR #24927 on branch v3.7.x (DOC: Remove space after directive name, before double-colon)
+* :ghpull:`24926`: Backport PR #24925 on branch v3.7.x (DOC: Improve documentation for set_loglevel)
+* :ghpull:`24925`: DOC: Improve documentation for set_loglevel
+* :ghpull:`24922`: Backport PR #24921 on branch v3.7.x (Pin sphinx != 6.1.2)
+* :ghpull:`24921`: Pin sphinx != 6.1.2
+* :ghpull:`24911`: Backport PR #24904 on branch v3.7.x (Deprecate AxisArtistHelpers with inconsistent loc/nth_coord.)
+* :ghpull:`24897`: DOC: Add ref for every under examples/animation
+* :ghpull:`24904`: Deprecate AxisArtistHelpers with inconsistent loc/nth_coord.
+* :ghpull:`22314`: Add a helper to generate xy coordinates for AxisArtistHelper.
+* :ghpull:`24841`: changed method in animation tutorial table of methods
+* :ghpull:`24902`: Remove provisional note from pyplot.subplot_mosaic
+* :ghpull:`24891`: DOC: mark mosaic as no longer provisional
+* :ghpull:`24889`: Harmonize exceptions for unknown keyword arguments.
+* :ghpull:`24085`: Set facecolor of FilledArrow axisline style and fix tight layout
+* :ghpull:`19743`: ENH: allow fig.legend outside axes...
+* :ghpull:`24887`: [MNT] Bump NumPy to 1.20
+* :ghpull:`24896`: changed contribute docs link to writing docs
+* :ghpull:`24894`: DOC: explain clipbox a bit better
+* :ghpull:`24864`: Deprecate BrokenBarHCollection.
+* :ghpull:`24869`: Skip displaying pan/zoom navigate mode in toolbar.
+* :ghpull:`24892`: FIX: error in formatting in error string in redirect extension
+* :ghpull:`24895`: add new & improved doc notices to what's new
+* :ghpull:`24888`: update install instructions for conda
+* :ghpull:`24886`: CI: rotate the circleci deploy key
+* :ghpull:`24879`: Document "." as a filled marker.
+* :ghpull:`24870`: Better default bool contour levels.
+* :ghpull:`24786`: Increase a few test tolerances on some arches
+* :ghpull:`24863`: Add parameter doc to PolarTransform
+* :ghpull:`24845`: Fix toggling of MultiCursor.{horizOn,vertOn}
+* :ghpull:`24862`: Fix argument checking in ``Axes3D.quiver``
+* :ghpull:`24868`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`24840`: Simplify/robustify segment-point distance calculation.
+* :ghpull:`24850`: Improve PolarAffine docstring
+* :ghpull:`24851`: Variable rename t > theta
+* :ghpull:`24763`: Allow polar scales where zero is not in valid interval
+* :ghpull:`24846`: Promote pending cm deprecations to full deprecations
+* :ghpull:`24848`: ``Collection.set_linestyle``: remove redundant string handling
+* :ghpull:`24839`: Move geo/polar projections to their own pages
+* :ghpull:`24727`: Handle argument "facecolors=None" correctly in plot_surface()
+* :ghpull:`24847`: Avoid extra copy initializing empty Affine2D
+* :ghpull:`24837`: DOC: Replace .format by f-strings in examples
+* :ghpull:`24604`: Enh/extend mosaic kwargs
+* :ghpull:`24131`: Deprecate attributes and expire deprecation in animation
+* :ghpull:`23457`: Add blitting support to button widgets
+* :ghpull:`24832`: [MNT] Improve variable naming in bar
+* :ghpull:`24829`: Simplify shape-checking in QuadMesh.set_array.
+* :ghpull:`24835`: Delay nightly wheel builds by 2 hours
+* :ghpull:`24831`: [Doc] Fix ndarray-links for arguments
+* :ghpull:`24824`: Fix incorrect method in doc
+* :ghpull:`24826`: space in version added for reverse in legend
+* :ghpull:`24819`: Bump pypa/cibuildwheel from 2.11.3 to 2.11.4
+* :ghpull:`24811`: removed casting handles to list in legend
+* :ghpull:`24759`: Reverse legend
+* :ghpull:`24465`: Reparametrize offsetbox calculations in terms of bboxes.
+* :ghpull:`22316`: Arbitrary figure customization hooks.
+* :ghpull:`22329`: Enforce that Line data modifications are sequences
+* :ghpull:`24730`: Data access API for rcParams
+* :ghpull:`24699`: Implement nested four-level TeX cache
+* :ghpull:`24752`: DOC: Make event handling table scrollable
+* :ghpull:`24637`: Fixes #20044 pass AnnotationBbox to renderer
+* :ghpull:`24810`: Don't modify dictionary input to widgets
+* :ghpull:`24769`: Improve matplotlib.axes documentation
+* :ghpull:`24806`: Deprecate 'x' argument for widgets.TextBox.begin_typing
+* :ghpull:`24293`: Handle rasterization start & stop only from Artist
+* :ghpull:`24768`: Fix/zorder rasterization
+* :ghpull:`24474`: Use scatter for check boxes and set facecolors correctly in check boxes and radio buttons
+* :ghpull:`24262`: Fix issue with space allocated for single tick that should not be there
+* :ghpull:`24780`: Update environment.yml
+* :ghpull:`23576`: Soft deprecate the textpath module (import from text instead)
+* :ghpull:`24750`: Fix deprecations of \*Cursor widget event handlers
+* :ghpull:`24757`: Allow using masked in ``set_offsets``
+* :ghpull:`21661`: Fix plot directive with func calls
+* :ghpull:`24803`: Correct type in docstring of zorder for streamplot and LineCollection
+* :ghpull:`24801`: Correct docstring of RangeSlider.on_changed
+* :ghpull:`24802`: Correct docstring of CheckButtons.get_status
+* :ghpull:`24758`: MNT: Simplify code related to masked arrays
+* :ghpull:`24756`: DOC: Simplify some table markup
+* :ghpull:`24795`: DOC: Fix duplicate redirect
+* :ghpull:`24782`: DOC: update typos and grammar errors
+* :ghpull:`24794`: Update README.md
+* :ghpull:`24071`: Deprecate undefined label_mode to Grid
+* :ghpull:`24724`: Run delvewheel on Windows for wheels
+* :ghpull:`24538`: [Doc] Document legend_handles and legend_handlers
+* :ghpull:`24751`: DOC: Update Artist inheritance diagram
+* :ghpull:`24761`: Don't set the never-used Line2D._contains in set_picker.
+* :ghpull:`24760`: Remove unused dicts from backend_cairo.
+* :ghpull:`24736`: DOC: simplify CheckButton example
+* :ghpull:`22700`: MAINT: Move docstring of ``LogLocator`` to class
+* :ghpull:`19763`: Remove visibility changes in draw for \*Cursor widgets
+* :ghpull:`23473`: Separately track modifier keys for mouse events.
+* :ghpull:`24748`: DOC: remove research notice
+* :ghpull:`24734`: Support masked dates
+* :ghpull:`24737`: MNT: make fig.colorbar(..., ax=INPUT) even more forgiving
+* :ghpull:`24120`: don't try to start a new event loop in WebAgg when in an ipykernel
+* :ghpull:`24362`: Allow bool-like values for sharex/sharey
+* :ghpull:`24740`: Minor redundancy cleanup of code which sets 3D aspect 3D
+* :ghpull:`22273`: Improve inheritance diagrams
+* :ghpull:`24668`: Add test for remaining axis options
+* :ghpull:`9598`: ENH: rely on non-rectangular patch paths rather than bboxes for legend auto-placing (fix #9580)
+* :ghpull:`22920`: Mnt deprecate mlab
+* :ghpull:`24408`: Fix: restore make_axes to accept a tuple of axes
+* :ghpull:`24731`: DOC: Post warnings as reviews on PRs
+* :ghpull:`24652`: Offsetbox default arguments
+* :ghpull:`24720`: FIX: be more forgiving in default draw wrapper
+* :ghpull:`24719`: Remove quotes from EngFormatter.format_eng example
+* :ghpull:`24718`: Remove refresh function from polar ThetaLocator
+* :ghpull:`24710`: Drop support for Qt<5.10.
+* :ghpull:`24509`: Factor out & improve accuracy of derivatives calculations in axisartist.
+* :ghpull:`19591`: reverse order in which stackplot elements are added to axes
+* :ghpull:`24367`: STY: Update macosx zoom rect styling
+* :ghpull:`24706`: Bump pypa/cibuildwheel from 2.11.2 to 2.11.3
+* :ghpull:`24705`: Cleanup a few examples.
+* :ghpull:`21096`: FIX: improve symlog ticker
+* :ghpull:`24498`: DOC: Update multiple category bar chart examples
+* :ghpull:`24688`: Deprecate quiver_doc and barbs_doc class members
+* :ghpull:`24526`: [Doc] Fix spelling and grammar in tutorials
+* :ghpull:`24675`: TST: set style in mpl_toolkits to ease later transition
+* :ghpull:`24484`: Artist's draw method prevents rasterization by default
+* :ghpull:`24667`: Test scroll zoom bbox update
+* :ghpull:`24662`: Doc/git force
+* :ghpull:`24664`: Deprecate offsetbox.bbox_artist
+* :ghpull:`24670`: Tiny capitalization fix.
+* :ghpull:`24596`: ENH: Add ellipse class for annotation box styles
+* :ghpull:`24249`: Add legend tests for 3D plots
+* :ghpull:`24627`: MNT: when clearing an Axes via clear/cla fully detach children
+* :ghpull:`24653`: Directly call _long_axis()._set_axes_scale in Colorbar.
+* :ghpull:`24640`: Small TransformWrapper cleanups.
+* :ghpull:`24528`: BUG: Warn when an existing layout manager changes to tight layout
+* :ghpull:`24635`: Remove unneeded _update_transScale calls in _init_axis.
+* :ghpull:`24641`: Fix that font files never pass the test on Win
+* :ghpull:`24522`: Use pybind11 for tri module
+* :ghpull:`24603`: Shorten the definition of sawtooth boxstyle.
+* :ghpull:`24630`: Improve error message for gridspec when the index is not an integer.
+* :ghpull:`24634`: Init axes._children early enough to avoid need for some getattr calls.
+* :ghpull:`24629`: Doc/gitwash redirects
+* :ghpull:`24624`: Expire FancyBboxPatch deprecations.
+* :ghpull:`24619`: ENH: Allow RGB(A) arrays for pcolormesh
+* :ghpull:`23588`: Refactoring gitwash
+* :ghpull:`21549`: Unifying the Figure getter/setter interface to match its constructor
+* :ghpull:`24582`: Shorten demo_axes_grid example.
+* :ghpull:`24577`: Fold _set_ticklabels into set_ticklabels.
+* :ghpull:`24581`: Simplify implementation of _is_sorted.
+* :ghpull:`24575`: Use std::isnan and fix compiler warning
+* :ghpull:`24570`: FIX: VPacker and HPacker bottom/top alignment
+* :ghpull:`23812`: Ci add codeql
+* :ghpull:`24556`: Fix incorrect window_extent of AxesImage
+* :ghpull:`24566`: Improve argument checking for set_xticks().
+* :ghpull:`24544`: DOC: Add links to supported file formats in animations tutorial
+* :ghpull:`24511`: Add test for mutating input arrays #8990
+* :ghpull:`24558`: In mplot3d, fix a doc typo and autogen zaxis_inverted.
+* :ghpull:`24555`: ENH: Add warning for SymLogScale when values in linear scale range
+* :ghpull:`23417`: Consistently set label on axis with units
+* :ghpull:`24542`: DOC: Clarify supported animation formats in animation tutorial
+* :ghpull:`23685`: Add mathtext support for ``\middle`` and correct rendering of ``\|``
+* :ghpull:`24539`: Fix misnamed api changes entry.
+* :ghpull:`23692`: Add ``Axes.get_tick_params()`` method.
+* :ghpull:`24132`: CenteredNorm changes
+* :ghpull:`24529`: Transform ParasiteAxesBase._update_viewlim into standard callback.
+* :ghpull:`24304`: Simplify some patches path definitions.
+* :ghpull:`24431`: FIX: Support passing one alpha per event sequence to eventplot()
+* :ghpull:`24527`: Fix testing of whether backends use the new pyplot_show API.
+* :ghpull:`24537`: Fix triage tool due to test reorganization
+* :ghpull:`21831`: FIX: pre-composite animation frames to white background
+* :ghpull:`24205`: Plot directive: delegate file handling to Sphinx
+* :ghpull:`24274`: Animation Tutorial
+* :ghpull:`24519`: MNT: remove unused arguments to private methods and minor doc fixes
+* :ghpull:`24525`: [Doc] Fix spelling and grammar in examples
+* :ghpull:`24523`: [Doc] fix more spelling and grammar
+* :ghpull:`24218`: Document what pyplot expects from a backend.
+* :ghpull:`24513`: Modernize a bit floating_axes tests.
+* :ghpull:`24491`: Make Path3DCollection store indexed offset, and only apply z-ordered offset during draw
+* :ghpull:`24500`: DOC: Removed matplotlib from mission statement title
+* :ghpull:`24490`: DOC: Remove text rotation example
+* :ghpull:`24487`: Update tests to run with 3.11 (not rc)
+* :ghpull:`24439`: Remove custom polar behaviour in LogLocator
+* :ghpull:`24461`: Shorten and explain more calculations in axes_divider.
+* :ghpull:`24472`: [DOC] removed flake8 from PR template
+* :ghpull:`24467`: [DOC] swapped params in fig_compare_error msg
+* :ghpull:`24455`: Draw RadioButtons using scatter to ensure circular buttons.
+* :ghpull:`24462`: Don't pass unused xdescent to _get_packed_offsets.
+* :ghpull:`24446`: Remove axis() manual argument parsing.
+* :ghpull:`24334`: ENH: Check labels arg when kwargs passed in Axis.set_ticks()
+* :ghpull:`24430`: MNT: Issue a warning instead of logging if RGB(A) passed to scatter(..., c)
+* :ghpull:`24397`: Simplify appveyor to only use conda
+* :ghpull:`24447`: Factor out error generation for function calls with wrong nargs.
+* :ghpull:`24441`: DOC: Fix example for what's new imshow so it isn't cut off or crowded.
+* :ghpull:`24443`: Add valid values to ``get_*axis_transform`` docstring
+* :ghpull:`24440`: DOC: Fix colorbar what's new entry so it isn't cut off.
+* :ghpull:`23787`: Use pybind11 for C/C++ extensions
+* :ghpull:`24247`: Split toolkit tests into their toolkits
+* :ghpull:`24432`: DOC: Fix What's New entry for bar_label() formatting.
+* :ghpull:`23101`: Move show() to somewhere naturally inheritable / document what pyplot expects from a backend.
+* :ghpull:`24215`: Add :shows-source-link: option to Sphinx plot directive
+* :ghpull:`24423`: Tighten the Qt binding selection docs.
+* :ghpull:`24403`: Use ``repr`` in error message Addresses #21959
+* :ghpull:`24415`: made f2tfont error message explicit that it needs path to file
+* :ghpull:`24329`: Kill FontconfigPatternParser.
+* :ghpull:`23267`: Add location keyword argument to Colorbar
+* :ghpull:`24375`: DOC: Group pyplot plotting commands
+* :ghpull:`24307`: DOC: Organize Axes3D methods into sections
+* :ghpull:`22230`: FIX: add support for imshow extent to have units
+* :ghpull:`24252`: Change default rotation mode for 3D labels to 'anchor'
+* :ghpull:`24356`: Expire QuadMesh old signature deprecation
+* :ghpull:`24355`: Expire unused positional parameters in canvas subclasses
+* :ghpull:`24257`: Load style files from third-party packages.
+* :ghpull:`24279`: Cleanup BboxImage example.
+* :ghpull:`24342`: Use HTML5 for webagg files
+* :ghpull:`24339`: DOC: Minor cleanup in "Writing documentation"
+* :ghpull:`24338`: DOC: Group pyplot commands by category
+* :ghpull:`24314`: Minor improvements to Annotations Tutorial
+* :ghpull:`23914`: Add shading of Poly3DCollection
+* :ghpull:`24322`: GOV: change security reporting to use tidelift
+* :ghpull:`24305`: Unify logic of ConnectionStyle._Base.{_clip,_shrink}.
+* :ghpull:`24303`: Simplify generate_fontconfig_pattern.
+* :ghpull:`24319`: Bump mamba-org/provision-with-micromamba from 13 to 14
+* :ghpull:`24239`: Fix mathtext rendering of ``\|`` and sizing of ``|`` and ``\|``
+* :ghpull:`23606`: added offset section & restructured annotations tutorial
+* :ghpull:`24125`: Expire miscellaneous deprecations from 3.5
+* :ghpull:`24306`: Remove unnecessary/replaceable explicit str calls.
+* :ghpull:`24295`: Remove unnecessary np.{,as}array / astype calls.
+* :ghpull:`24302`: MNT: Remove redundant int after round
+* :ghpull:`24290`: Cleanup Barbs._find_tails.
+* :ghpull:`24298`: List all the places to update when adding a dependency.
+* :ghpull:`24289`: Cleanup image_zcoord example.
+* :ghpull:`23865`: Add test and example for VBoxDivider
+* :ghpull:`24287`:  Simplifying glyph stream logic in ps backend
+* :ghpull:`24291`: Rely on builtin round() instead of manual rounding.
+* :ghpull:`24062`: Replaced std::random_shuffle with std::shuffle in tri
+* :ghpull:`24278`: Use oldest-supported-numpy for build
+* :ghpull:`24161`: Versioning directives policy
+* :ghpull:`24013`: Deprecate matplotlib.tri.* submodules
+* :ghpull:`24031`: Add rcParams for 3D pane color
+* :ghpull:`24220`: Simplify and tighten parse_fontconfig_pattern.
+* :ghpull:`24251`: Expire deprecation for ``auto_add_to_figure=True`` in ``Axes3D``
+* :ghpull:`24160`: sample versioning directives, empty + description
+* :ghpull:`24253`: Expire deprecation of grid argument name
+* :ghpull:`14471`: FIX: don't close figures if switch_backend is a no-op
+* :ghpull:`24240`: Deprecate unit_cube-related methods in Axes3D
+* :ghpull:`24244`: Clarify that z must be finite for tricountour(f)
+* :ghpull:`23536`: Improve mpl_toolkit documentation
+* :ghpull:`24243`: Improve documentation for ticker
+* :ghpull:`24189`: Do not pass gridspec_kw to inner layouts in subplot_mosaic
+* :ghpull:`24242`: Add information about environment variables in matplotlib.__doc__
+* :ghpull:`24241`: Small animation docs/style fixes.
+* :ghpull:`24236`: DOC: Mark SubplotBase removals in code style
+* :ghpull:`24141`: Set figure options dynamically
+* :ghpull:`23796`: Remove useless semicolons in "Introductory / Basic Usage" tutorial
+* :ghpull:`23573`: Merge SubplotBase into AxesBase.
+* :ghpull:`23931`: Raise ValueError on negative number inputs for set_aspect
+* :ghpull:`24065`: Fixed the positioning of cursor in Textbox: no approximation
+* :ghpull:`24122`: Add textcolor to legend based on labelcolor string
+* :ghpull:`24182`: MNT: Remove redundant method, fix signature and add doc-string to ``draw_tex``
+* :ghpull:`24224`: Deprecate Julian date-related functions and constant
+* :ghpull:`24196`: MNT: Update pre-commit hooks
+* :ghpull:`24221`: Deprecate BufferRegion.to_string{,_argb}.
+* :ghpull:`23683`: Simplify/add pyparsing error messages on mathtext/fontconfig errors.
+* :ghpull:`24210`: Small cleanups to axislines docs.
+* :ghpull:`24213`: Cleanup make_compound_path_from_poly doc, example.
+* :ghpull:`24208`: Deprecate backend_webagg.ServerThread.
+* :ghpull:`24207`: Recommend multiple_yaxis_with_spines over parasite axes.
+* :ghpull:`24156`: Automatically update rebase label
+* :ghpull:`24198`: Deprecate unused backend_ps.{PsBackendHelper,ps_backend_helper}.
+* :ghpull:`24129`: Expire cursor-related deprecations
+* :ghpull:`24179`: MNT: Refactor ``Renderer.get_text_width_height_descent``
+* :ghpull:`24191`: BLD: be more cautious about checking editable mode
+* :ghpull:`24000`: Generalize validation that pyplot commands are documented
+* :ghpull:`24144`: Deprecate some label-related attributes on ContourLabeler.
+* :ghpull:`24162`: windows doc build parity
+* :ghpull:`24102`: Simplest pyproject.toml containing build-system only
+* :ghpull:`24091`: MNT: Clean up code in SecondaryAxis
+* :ghpull:`24140`: Replace ClabelText by set_transform_rotates_text.
+* :ghpull:`24143`: Add QuadContourSet.remove.
+* :ghpull:`24138`: [DOC] Fix some documentation typos
+* :ghpull:`24128`: Expire deprecations in dates and ticker
+* :ghpull:`23907`: Inherit OffsetBox.get_window_extent.
+* :ghpull:`23449`: Add pan and zoom toolbar handling to 3D Axes (Replaces PR#22614)
+* :ghpull:`24126`: Bump version when invalid hatches error
+* :ghpull:`23874`: Expire parameter renaming and deletion and attribute privatization from 3.5
+* :ghpull:`23592`: Polar errcaps
+* :ghpull:`24083`: Enable interactive figure resizing for webagg and nbagg backends
+* :ghpull:`24110`: test readme rendering
+* :ghpull:`24067`: README.rst to README.md
+* :ghpull:`23702`: Get Mathtext ``\times`` symbol from ``cmsy10`` when using ``cmr10``.
+* :ghpull:`24066`: Simplify svg font expansion logic.
+* :ghpull:`23730`: [DOC]: Add grid to style sheets
+* :ghpull:`24020`: [DOC]: adding a grid to the style sheet reference.
+* :ghpull:`23579`: Remove direct manipulation of HostAxes.parasites by end users.
+* :ghpull:`23553`: Add tests for ImageGrid
+* :ghpull:`23918`: Merge v3.6.x branch to main
+* :ghpull:`23902`:  Add test and improve examples for mpl_toolkits
+* :ghpull:`23950`: DOC: Don't import doctest because we're not using it
+* :ghpull:`21006`: Rotate errorbar caps in polar plots
+* :ghpull:`23870`: Implement Sphinx-Gallery's ``make html-noplot``
+* :ghpull:`23905`: made explicit that install link is install docs in readme
+* :ghpull:`23824`: Deprecate draw_gouraud_triangle
+* :ghpull:`23913`: Add draggable as param to Legend init
+* :ghpull:`23896`: Inline AnchoredOffsetBox._update_offset_func.
+* :ghpull:`23889`: Update image tutorial.
+* :ghpull:`23861`: Move axes_grid tests to axes_grid1
+* :ghpull:`23254`: Add PathCollection test for ps backend
+* :ghpull:`23542`: Add even more mplot3d tests
+* :ghpull:`23698`: Fix bug in ``Axes.bar_label(label_type='center')`` for non-linear scales.
+* :ghpull:`23767`: DEV: add flake8-force plugin
+* :ghpull:`23835`: Fix version switcher links
+* :ghpull:`23832`: Improve skip message for image comparison tests
+* :ghpull:`23690`: Add new-style string formatting option and callable option to ``fmt`` in ``Axes.bar_label()``.
+* :ghpull:`23804`: Fix TexManager's support for ``openin_any = p``
+* :ghpull:`23737`: Update grammar
+* :ghpull:`23552`: Provide ``adjustable='box'`` to 3D axes aspect ratio setting
+* :ghpull:`23769`: Bump mamba-org/provision-with-micromamba from 12 to 13
+* :ghpull:`23590`: Changing bar examples to tea and coffee
+* :ghpull:`21253`: Fix: axis, ticks are set to defaults fontsize after ax.clear()
+* :ghpull:`21968`: Changed fstring to make error clearer
+* :ghpull:`22614`: ENH: Add pan and zoom toolbar handling to 3D Axes
+* :ghpull:`21562`: Add a test for Hexbin Linear
+
+Issues (120):
+
+* :ghissue:`25176`: [Bug]: Colorbar is displaced when saving as .eps with bbox_inches='tight'
+* :ghissue:`25075`: [Bug]: Widget blitting broken when saving as PDF
+* :ghissue:`25181`: unavoidable warnings in nbagg on ``plt.close``
+* :ghissue:`25134`: [Doc]: pyplot.boxplot whisker length wrong docs
+* :ghissue:`24395`: Any resizing of the plot after plt.show results in an error when closing the window
+* :ghissue:`25107`: [Doc]: annotated_cursor example seems broken
+* :ghissue:`25124`: [Bug]: ax.plot(x,y) disappears after changing y_scale
+* :ghissue:`8278`: FuncAnimation with generator defaults to arbitrary save_count=100
+* :ghissue:`22765`: Document distutil vs setuptools issues or fix usage
+* :ghissue:`25077`: [Bug]: Setting norm with existing colorbar fails with 3.6.3
+* :ghissue:`23999`: [Bug]: Annotation misplaced when rasterizing and saving as PDF
+* :ghissue:`25040`: [Bug]: Request to insecure websocket endpoint is blocked by browser
+* :ghissue:`24678`: [Bug]: pcolormesh doesn't allow shading = 'flat' in the option
+* :ghissue:`15388`: matplotlib.collections.QuadMesh.set_array() input arg format is weird and undocumented
+* :ghissue:`23779`: [ENH]: control the size of the tex cache
+* :ghissue:`24583`: [ENH]: provide public API for styling radio buttons
+* :ghissue:`21895`: [Bug]: slow rendering of multiple axes (time scales as 2nd power of label count)
+* :ghissue:`4781`: Add API to register styles
+* :ghissue:`24972`: [MNT]: UserWarning from pyparsing upon immediate import
+* :ghissue:`24865`: [Bug]: NumPy 1.24 deprecation warnings
+* :ghissue:`24954`: [Bug]: compressed layout setting can be forgotten on second save
+* :ghissue:`23778`: [ENH]: Allow override of contour level autoscaling
+* :ghissue:`20203`: contour edge case with all data below levels and a surrounding field of zeros
+* :ghissue:`12803`: pcolormesh in log polar coordinates
+* :ghissue:`24383`: log scale and polar broken
+* :ghissue:`22847`: [Bug]: Cannot toggle set_tight_layout
+* :ghissue:`23646`: [Bug]: matplotlib.set_loglevel() adds a console handler
+* :ghissue:`24673`: [Doc]: animation examples show controls; source does not reproduce them
+* :ghissue:`7617`: set_ylabel does not work as expected with SubplotZero
+* :ghissue:`13023`: constrained_layout support for figure.legend
+* :ghissue:`15973`: span_where fails with timeseries on the x-axis
+* :ghissue:`24867`: [Bug]: controlling text on toolbar in wx
+* :ghissue:`24421`: [Doc]: change to install from conda forge
+* :ghissue:`24890`: [Bug]: Clipping mask can shift in PDF and SVG file outputs when Bbox is adjusted
+* :ghissue:`23849`: [Bug]: The point marker is not actually unfilled
+* :ghissue:`24321`: [ENH]: Auto-detect bool arrays passed to contour()?
+* :ghissue:`24842`: axes3d.quiver() fails when providing args to Line3DCollection
+* :ghissue:`24093`: [Bug]: CenteredNorm gets stuck in infinite recursion when given all zeros
+* :ghissue:`24571`: [ENH]: gridspec_mosaic
+* :ghissue:`24815`: [TST] Upcoming dependency test failures
+* :ghissue:`24712`: [ENH]: Reverse legend
+* :ghissue:`22308`: [Bug] set_3d_properties type error in Matplotlib 3.5.1
+* :ghissue:`24741`: [Doc]: tables in "notes" cut off content
+* :ghissue:`20044`: AnnotationBbox gid not passed to renderer
+* :ghissue:`24762`: [Doc]: Development workflow doc has lots of typos and clunky sentences
+* :ghissue:`24235`: [Bug]: pcolormesh(rasterized=True) conflicts with set_rasterization_zorder()
+* :ghissue:`24471`: [Bug]: CheckBoxes should be square, not rectangular
+* :ghissue:`18804`: bugged pads on savefig
+* :ghissue:`20656`: Sphinx extension plot_directive not able to detect function
+* :ghissue:`24704`: [Bug]: ImportError: DLL load failed on Windows
+* :ghissue:`20639`: document Legend.legendHandles
+* :ghissue:`19633`: Multicursor disappears when not moving on nbagg with useblit=False + burns CPU
+* :ghissue:`24717`: Update Research Notice on README.md
+* :ghissue:`22754`: [Bug]: It is recommended for you  to run autogen before configuring freetype
+* :ghissue:`24349`: [Bug]: sharex and sharey don't accept 0 and 1 as bool values
+* :ghissue:`20577`: Using ``legend(labelcolor="markerfacecolor")`` with a scatter plot throws an error
+* :ghissue:`24424`: [Doc]: Inheritance diagrams
+* :ghissue:`9580`: Broken legend auto-position with step*-type histograms
+* :ghissue:`22176`: [MNT]: Write a bot to post doc build issues
+* :ghissue:`24623`: [Bug]: ``offsetbox`` classes have optional arguments that are really not optional
+* :ghissue:`24693`: [MNT]: Update minver policy re: GUI toolkits
+* :ghissue:`23566`: [ENH]: Z-axis/3D support for Figure options
+* :ghissue:`23777`: [ENH] Interactive Zoom Rectangle Color Review for MACOSX backend
+* :ghissue:`24676`: [Doc]: quiver_doc etc leads to documentation of the documentation string
+* :ghissue:`24568`: [ENH]: Ellipse annotation
+* :ghissue:`6982`: cla(), clf() should unset the ``.axes`` and ``.figure`` attributes of deparented artists
+* :ghissue:`11227`: fig.set_dpi() does not set the dpi correctly
+* :ghissue:`24418`: [ENH]: rgp or rgba option for pyplot pcolormesh and/or pcolor
+* :ghissue:`22236`: [Bug]: integer colours for pcolorfast / quadmesh
+* :ghissue:`4277`: RGB not supported in pcolormesh
+* :ghissue:`23155`: [ENH]: do_3d_projection could restore original verts order after draw() finishes
+* :ghissue:`24386`: [Bug]: ``align`` in ``HPacker`` is reversed
+* :ghissue:`23803`: Static code analysis
+* :ghissue:`8990`: Surprising behaviour of mutating input arrays to Axes.plot vs Axes3D.plot
+* :ghissue:`24550`: [ENH]: Warn when a SymLogScale receives values that are all in the linear regime
+* :ghissue:`23416`: [Bug]: Inconsistent y-axis unit label with plot/scatter
+* :ghissue:`23603`: [MNT]: Only a subset of attributes set via ``Axes.tick_params()`` are accessible via public methods and attributes
+* :ghissue:`13858`: matplotlib.sphinxext.plot_directive generates incorrect links when using dirhtml builder
+* :ghissue:`19376`: eventplot: allow a list of alpha channels as in the case with colors
+* :ghissue:`24508`: [Bug]: Re-organization of mpl_toolkits tests broke tools/triage_tests.py
+* :ghissue:`19040`: v3.3.0 Regression, Animation draws artists multiple times.
+* :ghissue:`12324`: DOC: Write a unified backend doc
+* :ghissue:`24464`: Issue with legend labelcolor='linecolor' for errorbar plots
+* :ghissue:`24273`: [ENH]: Axes.set_xticks/Axis.set_ticks only validates kwargs if ticklabels are set, but they should
+* :ghissue:`24454`: [Bug]: "import matplotlib.pyplot" gives ModuleNotFoundError
+* :ghissue:`24394`: [TST]: Appveyor Qt tests failing
+* :ghissue:`21959`: [ENH]: Use ``repr`` instead of ``str`` in the error message
+* :ghissue:`22676`: [ENH]: Colorbar should support location kwarg that sets both orientation and ticklocation
+* :ghissue:`23901`: [Doc]: add summary table to Axes3D similar to Axes
+* :ghissue:`22105`: [Bug]: imshow extents can't have units?
+* :ghissue:`21878`: [MNT]: make axis labels of 3d axis anchor-rotate
+* :ghissue:`17978`: Document how to distribute style files in python packages
+* :ghissue:`23965`: Simplify glyph stream logic in ps backend
+* :ghissue:`19509`: Adding lightsource when plotting Poly3DCollection
+* :ghissue:`17523`: Unclear if no gallery argument for doc builds works
+* :ghissue:`23250`: [Bug]: Incorrect mathtext rendering of ``r"$\|$"`` with default (dejavu) math fontfamily
+* :ghissue:`24010`: c++17 removed random_shuffle
+* :ghissue:`20424`: function shadowing their own definition modules
+* :ghissue:`20781`: Make the pane color in 3d plots configurable
+* :ghissue:`14426`: Existing FigureCanvasQT objects destroyed by call to plt.figure
+* :ghissue:`5908`: Unclear Documentation ticker class
+* :ghissue:`24099`: [Bug]: Error using width_ratios with nested mosaic in subplot_mosaic()
+* :ghissue:`6893`: List environment variables in matplotlib.__doc__
+* :ghissue:`11445`: The axes module structure
+* :ghissue:`23847`: [Bug]: set_aspect with negative argument leads to infinite loop
+* :ghissue:`24136`: [Doc]: document ``julian2num`` and ``num2julian``?
+* :ghissue:`5332`: QuadContourSet lacks remove method
+* :ghissue:`110`: pan and zoom are broken for mplot3d
+* :ghissue:`441`: Polar plot error bars don't rotate with angle
+* :ghissue:`24064`: Convert readme.rst to readme.md
+* :ghissue:`10029`: \times in minor ticklabels not recognized due to \mathdefault
+* :ghissue:`24080`: verify quoting method in svg backend for font names
+* :ghissue:`23601`: [Doc]: add gridlines to style sheet reference
+* :ghissue:`24075`: [ENH]: Resizing the figure with webagg backend by dragging the corner
+* :ghissue:`23352`: [Doc]: bar examples should probably not have "score by ... gender" in them...
+* :ghissue:`23819`: [MNT]: Make draw_gouraud_triangle optional
+* :ghissue:`9181`: legend draggable as keyword
+* :ghissue:`23688`: [Bug]: ``Axes.bar_label()`` on log scale does not center the label.
+* :ghissue:`23689`: [ENH]: Add f-string formatting to labels in ``Axes.bar_label()``
+* :ghissue:`23718`: [Bug]: Installing from source fails during Freetype compilation with spaces in working directory filepath
diff --git a/doc/users/prev_whats_new/github_stats_3.7.1.rst b/doc/users/prev_whats_new/github_stats_3.7.1.rst
new file mode 100644
index 000000000000..b187122cb779
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.7.1.rst
@@ -0,0 +1,114 @@
+.. _github-stats-3-7-1:
+
+GitHub statistics for 3.7.1 (Mar 03, 2023)
+==========================================
+
+GitHub statistics for 2023/02/13 (tag: v3.7.0) - 2023/03/03
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 14 issues and merged 62 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/80?closed=1>`__
+
+The following 16 authors contributed 129 commits.
+
+* Albert Y. Shih
+* Antony Lee
+* devRD
+* Elliott Sales de Andrade
+* Fabian Joswig
+* Greg Lucas
+* Hasan Rashid
+* hasanrashid
+* Jody Klymak
+* Kyle Sunden
+* Oscar Gustafsson
+* Ratnabali Dutta
+* RishabhSpark
+* Ruth Comer
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (62):
+
+* :ghpull:`25377`: Backport PR #25372 on branch v3.7.x (Clean up Curve ArrowStyle docs)
+* :ghpull:`25376`: Backport PR #25371 on branch v3.7.x (Tk: Fix size of spacers when changing display DPI)
+* :ghpull:`25375`: Backport PR #25364 on branch v3.7.x (BLD: Pre-download Qhull license to put in wheels)
+* :ghpull:`25372`: Clean up Curve ArrowStyle docs
+* :ghpull:`25371`: Tk: Fix size of spacers when changing display DPI
+* :ghpull:`25364`: BLD: Pre-download Qhull license to put in wheels
+* :ghpull:`25370`: Backport PR#25369: Pin sphinx themes more strictly
+* :ghpull:`25368`: Backport PR #25339 on branch v3.7.x (Disable discarded animation warning on save)
+* :ghpull:`25369`: Pin sphinx themes more strictly
+* :ghpull:`25339`: Disable discarded animation warning on save
+* :ghpull:`25354`: Backport PR #25353 on branch v3.7.x (link to ipympl docs instead of github)
+* :ghpull:`25307`: Pin mpl-sphinx-theme on the v3.7.x branch
+* :ghpull:`25350`: Backport PR #25346 on branch v3.7.x (FIX: use wrapped text in Text._get_layout)
+* :ghpull:`25348`: Backport PR #25325 on branch v3.7.x (Clean up legend loc parameter documentation)
+* :ghpull:`25325`: Clean up legend loc parameter documentation
+* :ghpull:`25346`: FIX: use wrapped text in Text._get_layout
+* :ghpull:`25343`: Backport PR #25340 on branch v3.7.x (Fix RangeSlider.set_val when outside existing value)
+* :ghpull:`25342`: Backport PR #25341 on branch v3.7.x (TST: Increase test_set_line_coll_dash_image tolerance slightly.)
+* :ghpull:`25340`: Fix RangeSlider.set_val when outside existing value
+* :ghpull:`25341`: TST: Increase test_set_line_coll_dash_image tolerance slightly.
+* :ghpull:`25337`: Backport PR #25311 on branch v3.7.x (Make draggable legends picklable.)
+* :ghpull:`25311`: Make draggable legends picklable.
+* :ghpull:`25331`: Backport PR #25327 on branch v3.7.x (Fix doc-string issues identified by velin)
+* :ghpull:`25327`: Fix doc-string issues identified by velin
+* :ghpull:`25321`: Backport PR #25320 on branch v3.7.x (DOC: fix typo)
+* :ghpull:`25319`: Backport PR #25305 on branch v3.7.x (DOC: add layout='none' option to Figure constructor)
+* :ghpull:`25305`: DOC: add layout='none' option to Figure constructor
+* :ghpull:`25315`: Backport PR #24878 on branch v3.7.x ( [Doc]: Add alt-text to images in 3.6 release notes #24844 )
+* :ghpull:`24878`: [Doc]: Add alt-text to images in 3.6 release notes #24844
+* :ghpull:`25312`: Backport PR #25308 on branch v3.7.x (DOC: add include source to a 3.7 what's new)
+* :ghpull:`25309`: Backport PR #25302 on branch v3.7.x (Cleanup gradient_bar example.)
+* :ghpull:`25299`: Backport PR #25238 on branch v3.7.x (Check file path for animation and raise if it does not exist)
+* :ghpull:`25297`: Backport PR #25295 on branch v3.7.x (Increase timeout for interactive backend tests)
+* :ghpull:`25238`: Check file path for animation and raise if it does not exist
+* :ghpull:`25295`: Increase timeout for interactive backend tests
+* :ghpull:`25288`: Backport PR #25279 on branch v3.7.x (Fix Lasso line cleanup)
+* :ghpull:`25294`: Backport PR #25278 on branch v3.7.x (Revert #23417 (Consistently set label on axis with units))
+* :ghpull:`25293`: Backport PR #25155 on branch v3.7.x (Fix lasso unresponsive issue by adding a lock release event)
+* :ghpull:`25289`: Backport PR #25286 on branch v3.7.x (DOC: add cache-busting query to switcher json url)
+* :ghpull:`25278`: Revert #23417 (Consistently set label on axis with units)
+* :ghpull:`25155`: Fix lasso unresponsive issue by adding a lock release event
+* :ghpull:`25285`: Backport PR #25280 on branch v3.7.x (Fix setting CSS with latest GTK4)
+* :ghpull:`25279`: Fix Lasso line cleanup
+* :ghpull:`25284`: Backport PR #25283 on branch v3.7.x (CI: unpin reviewdog eslint)
+* :ghpull:`25280`: Fix setting CSS with latest GTK4
+* :ghpull:`25283`: CI: unpin reviewdog eslint
+* :ghpull:`25277`: Backport PR #25268 on branch v3.7.x (Fix import of styles with relative path)
+* :ghpull:`25276`: Backport PR #25237 on branch v3.7.x (Fixed a bug where rcParams settings were being ignored for formatting axes labels)
+* :ghpull:`25237`: Fixed a bug where rcParams settings were being ignored for formatting axes labels
+* :ghpull:`25268`: Fix import of styles with relative path
+* :ghpull:`25264`: Backport PR #25262 on branch v3.7.x (CI: Pin reviewdog eslint to use node 18.13)
+* :ghpull:`25245`: Backport PR #25236: Re-enable CI buildwheel and cygwin labels
+* :ghpull:`25262`: CI: Pin reviewdog eslint to use node 18.13
+* :ghpull:`25260`: Backport PR #25234 on branch v3.7.x (added layout="compressed" for pyplot #25223)
+* :ghpull:`25234`: added layout="compressed" for pyplot #25223
+* :ghpull:`25246`: Backport PR #25240 on branch v3.7.x (Avoid calling vars() on arbitrary third-party manager_class.)
+* :ghpull:`25240`: Avoid calling vars() on arbitrary third-party manager_class.
+* :ghpull:`25236`: Re-enable CI buildwheel and cygwin labels
+* :ghpull:`25217`: Backport PR #25213 on branch v3.7.x (DOC: correct default value of pcolormesh shading)
+* :ghpull:`25213`: DOC: correct default value of pcolormesh shading
+* :ghpull:`25215`: Backport PR #25198 - DOC: remove constrained_layout kwarg from examples
+* :ghpull:`25198`: DOC: remove constrained_layout kwarg from examples
+
+Issues (14):
+
+* :ghissue:`25361`: [Doc]: matplotlib.patches.ArrowStyle
+* :ghissue:`25365`: [Bug]: Inconsistent size/padx for spacers in NavigationToolbar2Tk._rescale and _Spacer
+* :ghissue:`25212`: [Bug]: LICENSE_QHULL is included in wheel only the second time
+* :ghissue:`25323`: [Doc]: Misleading Figure.legend() options, loc='best' is not valid.
+* :ghissue:`25336`: [Bug]: constrained layout with wrapped titles
+* :ghissue:`25338`: [Bug]: set_val of rangeslider sets incorrect value
+* :ghissue:`25300`: [Bug]: Unable to pickle figure with draggable legend
+* :ghissue:`25223`: [Doc]: ``layout="none"`` for figure constructor?
+* :ghissue:`25219`: [Bug]: axes.set_xlim with string dates raises when plotting with datetimes
+* :ghissue:`21666`: [Doc]: Sidebar not always very helpful
+* :ghissue:`25298`: [Bug]: ``axes.labelsize`` is ignored
+* :ghissue:`25233`: [MNT]: FFMpegWriter does not check if out path exists when initialized.
+* :ghissue:`25242`: [Bug]: Relative paths in ``plt.style.use()`` no longer work in 3.7
+* :ghissue:`25251`: [CI]: eslint failure
diff --git a/doc/users/prev_whats_new/github_stats_3.7.2.rst b/doc/users/prev_whats_new/github_stats_3.7.2.rst
new file mode 100644
index 000000000000..9bc8ab85fdfd
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.7.2.rst
@@ -0,0 +1,239 @@
+.. _github-stats-3-7-2:
+
+GitHub statistics for 3.7.2 (Jul 05, 2023)
+==========================================
+
+GitHub statistics for 2023/03/04 (tag: v3.7.1) - 2023/07/05
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 36 issues and merged 156 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/81?closed=1>`__
+
+The following 25 authors contributed 248 commits.
+
+* Adam J. Stewart
+* Antony Lee
+* Astra
+* Daniele Nicolodi
+* daniilS
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Greg Lucas
+* Jody Klymak
+* Kyle Sunden
+* MeeseeksMachine
+* Melissa Weber Mendonça
+* Mubin Manasia
+* NISHANT KUMAR
+* Oscar Gustafsson
+* Petros Tzathas
+* Ruth Comer
+* Scott Shambaugh
+* Smeet nagda
+* SnorfYang
+* Stefanie Molin
+* Steffen Rehberg
+* Thomas A Caswell
+* Tim Hoffmann
+* Yi Wei
+
+GitHub issues and pull requests:
+
+Pull Requests (156):
+
+* :ghpull:`26260`: Backport PR #25960 on branch v3.7.x (FIX: wspace and hspace in subfigures without layout engine)
+* :ghpull:`25960`: FIX: wspace and hspace in subfigures without layout engine
+* :ghpull:`26238`: Backport PR #26237 on branch v3.7.x (Update FancyBboxPatch docstring)
+* :ghpull:`26234`: Backport PR #26232 on branch v3.7.x (FIX: pcolor writing to read-only input mask)
+* :ghpull:`26232`: FIX: pcolor writing to read-only input mask
+* :ghpull:`26229`: Backport PR #26223 on branch v3.7.x (Fix: pcolormesh writing to read-only input mask)
+* :ghpull:`26227`: Backport PR #26184 on branch v3.7.x (FIX: AnnotationBbox extents before draw)
+* :ghpull:`26223`: Fix: pcolormesh writing to read-only input mask
+* :ghpull:`26184`: FIX: AnnotationBbox extents before draw
+* :ghpull:`26214`: Auto backport of pr 26186 on v3.7.x
+* :ghpull:`26216`: Backport PR #26126 on branch v3.7.x (Revert "Merge pull request #24555 from parthpankajtiwary/symlog-warn")
+* :ghpull:`26215`: Backport PR #25824 on branch v3.7.x (pdf: Use explicit palette when saving indexed images)
+* :ghpull:`26211`: Backport PR #25704 on branch v3.7.x (FIX: don't round image sizes to pixel if meant to be unsampled)
+* :ghpull:`26186`: [Doc] Improve documentation types
+* :ghpull:`26177`: Backport PR #26154 on branch v3.7.x (MNT: py312 deprecates pickling objects in itertools)
+* :ghpull:`26154`: MNT: py312 deprecates pickling objects in itertools
+* :ghpull:`26175`: Backport PR #26165 on branch v3.7.x (Avoid Py_VerboseFlag deprecation from Python 3.12)
+* :ghpull:`26165`: Avoid Py_VerboseFlag deprecation from Python 3.12
+* :ghpull:`26136`: Backport PR #26135 on branch v3.7.x (TST: xfail Tk test on Python 3.9 Azure macOS also)
+* :ghpull:`26158`: Backport PR #26153 on branch v3.7.x (Restrict pyparsing version)
+* :ghpull:`26153`: Restrict pyparsing version
+* :ghpull:`26149`: Backport PR #26148 on branch v3.7.x (Clarify how to get data from Line3D and fix formatting issue)
+* :ghpull:`26148`: Clarify how to get data from Line3D and fix formatting issue
+* :ghpull:`26135`: TST: xfail Tk test on Python 3.9 Azure macOS also
+* :ghpull:`26133`: Backport PR #26084 on branch v3.7.x (added note about python 3 to venv)
+* :ghpull:`26126`: Revert "Merge pull request #24555 from parthpankajtiwary/symlog-warn"
+* :ghpull:`26127`: Backport PR #25068 on branch v3.7.x (Fix pgf tests with TeXLive 2022)
+* :ghpull:`25068`: Fix pgf tests with TeXLive 2022
+* :ghpull:`25824`: pdf: Use explicit palette when saving indexed images
+* :ghpull:`26116`: Backport PR #26006 on branch v3.7.x (DOC: Use scientific-python-nightly-wheels for nightly build index)
+* :ghpull:`26055`: Backport PR #26052 on branch v3.7.x (Improve Qt compatibility)
+* :ghpull:`26053`: Backport PR #25858 on branch v3.7.x (Get dlerror() immediately after dlclose() fails.)
+* :ghpull:`26052`: Improve Qt compatibility
+* :ghpull:`25858`: Get dlerror() immediately after dlclose() fails.
+* :ghpull:`26048`: Backport PR #26044 on branch v3.7.x (DOC: add steering council email to triage page + remove unactionable instructions)
+* :ghpull:`26039`: Backport PR #26038 on branch v3.7.x (subsubsection titles for backend tables)
+* :ghpull:`26034`: ci: Skip PySide6 6.5.1 on another environment
+* :ghpull:`26019`: Backport PR #25985 on branch v3.7.x (Drop metadata table when subsetting fonts)
+* :ghpull:`26009`: Backport PR #25978 on branch v3.7.x (Fix subslice optimization for long, fully nan lines.)
+* :ghpull:`26021`: Backport PR #26005 on branch v3.7.x (Fix backend tests on CI)
+* :ghpull:`25985`: Drop metadata table when subsetting fonts
+* :ghpull:`25978`: Fix subslice optimization for long, fully nan lines.
+* :ghpull:`26002`: Bump pypa/cibuildwheel from 2.12.3 to 2.13.0
+* :ghpull:`26005`: Fix backend tests on CI
+* :ghpull:`26001`: Backport PR #25954 on branch v3.7.x (Add note that subfigure is still provisional to docstring)
+* :ghpull:`25954`: Add note that subfigure is still provisional to docstring
+* :ghpull:`25996`: Backport PR #25992 on branch v3.7.x (Document that GridSpec.get_subplot_params ignores gridspec.figure.)
+* :ghpull:`25992`: Document that GridSpec.get_subplot_params ignores gridspec.figure.
+* :ghpull:`25984`: Backport PR #25982 on branch v3.7.x (Doc: Updates default value for nonpositve parameter for semilogx and semilogy)
+* :ghpull:`25982`: Doc: Updates default value for nonpositve parameter for semilogx and semilogy
+* :ghpull:`25975`: Backport PR #25964 on branch v3.7.x (Fix get_constrained_layout_pads)
+* :ghpull:`25980`: Backport PR #25977 on branch v3.7.x ([Doc]: Fix navigation sidebar for Animation examples)
+* :ghpull:`25976`: Backport PR #25973 on branch v3.7.x (Add setuptools as an explicit build requirement)
+* :ghpull:`25973`: Add setuptools as an explicit build requirement
+* :ghpull:`25964`: Fix get_constrained_layout_pads
+* :ghpull:`25972`: Backport PR #25918 on branch v3.7.x (migrate from utcfromtimestamp to fromtimestamp)
+* :ghpull:`25959`: Backport PR #25955 on branch v3.7.x (Update performance note of hist() to mention stairs().)
+* :ghpull:`25957`: Backport PR #25956 on branch v3.7.x (Reverse stackplot legend to match data display)
+* :ghpull:`25955`: Update performance note of hist() to mention stairs().
+* :ghpull:`25918`: migrate from utcfromtimestamp to fromtimestamp
+* :ghpull:`25943`: Backport PR #25902 on branch v3.7.x (Fix TransformedBbox.{,full_}contains.)
+* :ghpull:`25902`: Fix TransformedBbox.{,full_}contains.
+* :ghpull:`25928`: Backport PR #25920 on branch v3.7.x (Rewrite offset_copy for better error message)
+* :ghpull:`25935`: Backport PR #25934 on branch v3.7.x (DOC: Fix figure annotation example)
+* :ghpull:`25931`: Backport PR #25929 on branch v3.7.x (changed incubator invite channel link to community channel)
+* :ghpull:`25920`: Rewrite offset_copy for better error message
+* :ghpull:`25898`: Backport PR #25897 on branch v3.7.x (Fix typo of missing quote in core font docs)
+* :ghpull:`25893`: Backport PR #25792 on branch v3.7.x (Fix broken symlinks for expected images on WSL)
+* :ghpull:`25792`: Fix broken symlinks for expected images on WSL
+* :ghpull:`25892`: Backport PR #25832 on branch v3.7.x ([BUG] Prevent under the hood downcasting of values)
+* :ghpull:`25873`: DOC: clarify how colorbar steals space
+* :ghpull:`25832`: [BUG] Prevent under the hood downcasting of values
+* :ghpull:`25877`: Backport PR #25874 on branch v3.7.x (Tweak demo_edge_colorbar.)
+* :ghpull:`25879`: Backport PR #25547 on branch v3.7.x (FIX: ``_safe_first_finite`` on all non-finite array)
+* :ghpull:`25875`: Backport PR #25868 on branch v3.7.x (TST: Add test for layoutgrid memory leak)
+* :ghpull:`25547`: FIX: ``_safe_first_finite`` on all non-finite array
+* :ghpull:`25868`: TST: Add test for layoutgrid memory leak
+* :ghpull:`25865`: Backport PR #25853 on branch v3.7.x (Fix LayoutGrid leaks)
+* :ghpull:`25853`: Fix LayoutGrid leaks
+* :ghpull:`25842`: Backport PR #25840 on branch v3.7.x (Emit explanatory exception when no temporary cachedir can be created.)
+* :ghpull:`25840`: Emit explanatory exception when no temporary cachedir can be created.
+* :ghpull:`25827`: Backport PR #25813 on branch v3.7.x ([TST] Adjust tests to be more tolerant to floating point math operations being imprecise)
+* :ghpull:`25813`: [TST] Adjust tests to be more tolerant to floating point math operations being imprecise
+* :ghpull:`25808`: Backport PR #25214 on branch v3.7.x (DOC: Add section on how to start contributing)
+* :ghpull:`25802`: Backport PR #25797 on branch v3.7.x (Replace random values by hard-coded numbers in plot-types ...)
+* :ghpull:`25778`: Backport PR #25776 on branch v3.7.x (Doc : Updates default value for nonpositve parameter)
+* :ghpull:`25776`: Doc : Updates default value for nonpositve parameter
+* :ghpull:`25704`: FIX: don't round image sizes to pixel if meant to be unsampled
+* :ghpull:`25761`: Backport PR #25760 on branch v3.7.x (unbreak doc build with Sphinx 6.2)
+* :ghpull:`25754`: Backport PR #25727 on branch v3.7.x (Doc: Replace matplotlibrc.template)
+* :ghpull:`25727`: Doc: Replace matplotlibrc.template
+* :ghpull:`25750`: Backport PR #25733 on branch v3.7.x (Add tests for missing text wrap cases)
+* :ghpull:`25733`: Add tests for missing text wrap cases
+* :ghpull:`25740`: Backport PR #25736 on branch v3.7.x (added assigning and duplicating section heading to contribute guide)
+* :ghpull:`25705`: Backport PR #25681 on branch v3.7.x (BUG: Return null Bbox when there is no intersection for bar_label center.)
+* :ghpull:`25700`: Backport PR #25693 on branch v3.7.x (Correctly hide download buttons using CSS)
+* :ghpull:`25681`: BUG: Return null Bbox when there is no intersection for bar_label center.
+* :ghpull:`25665`: Backport PR #25663 on branch v3.7.x (Don't use deprecated cm.get_cmap in qt figureoptions.)
+* :ghpull:`25666`: Backport PR #25658 on branch v3.7.x (TST: Bump exclude for newly released nbconvert)
+* :ghpull:`25663`: Don't use deprecated cm.get_cmap in qt figureoptions.
+* :ghpull:`25658`: TST: Bump exclude for newly released nbconvert
+* :ghpull:`25630`: Backport PR #25481 on branch v3.7.x (Fix 3D set_aspect error cases)
+* :ghpull:`25637`: Backport PR #25636 on branch v3.7.x (Ensure ImportError's have a message)
+* :ghpull:`25636`: Ensure ImportError's have a message
+* :ghpull:`25629`: Backport PR #25616 on branch v3.7.x (broken_barh: fix docstring typo)
+* :ghpull:`25481`: Fix 3D set_aspect error cases
+* :ghpull:`25616`: broken_barh: fix docstring typo
+* :ghpull:`25626`: Backport PR #25624 on branch v3.7.x (FIX: correctly unset the layout engine in Figure.tight_layout)
+* :ghpull:`25620`: Backport PR #25615 on branch v3.7.x (TST: Avoid broken nbconvert)
+* :ghpull:`25624`: FIX: correctly unset the layout engine in Figure.tight_layout
+* :ghpull:`25621`: Backport PR #25619 on branch v3.7.x (TST: Unbreak pyside65 by installing libxcb-cursor0)
+* :ghpull:`25619`: TST: Unbreak pyside65 by installing libxcb-cursor0
+* :ghpull:`25615`: TST: Avoid broken nbconvert
+* :ghpull:`25589`: Backport PR #25585 on branch v3.7.x (DOC: improve interpolation kwarg doc in imshow [ci doc])
+* :ghpull:`25585`: DOC: improve interpolation kwarg doc in imshow [ci doc]
+* :ghpull:`25581`: Backport PR #25580 on branch v3.7.x (Fix return type of get_plot_commands)
+* :ghpull:`25580`: Fix return type of get_plot_commands
+* :ghpull:`25578`: Backport PR #25574 on branch v3.7.x (DOC: Added exported colors to colors.api)
+* :ghpull:`25535`: Backport PR #25518 on branch v3.7.x (DOC: Fix the bars having numeric value of cm but labeled as inches)
+* :ghpull:`25530`: Backport PR #25508 on branch v3.7.x (DOC: Fix thumbnail title for sphinx gallery)
+* :ghpull:`25528`: Backport PR #25519 on branch v3.7.x (Fix typo in Quick start guide tutorial)
+* :ghpull:`25525`: Backport PR #25524 on branch v3.7.x (Add ipykernel as an explicit doc dependency)
+* :ghpull:`25520`: Backport PR #25499: FIX: use locators in adjust_bbox
+* :ghpull:`25516`: Backport PR #25494 on branch v3.7.x (Ignore errors loading artifacts from CircleCI)
+* :ghpull:`25499`: FIX: use locators in adjust_bbox
+* :ghpull:`25512`: Backport PR #25496 on branch v3.7.x (BUG: fix IPython's %pylab mode detection)
+* :ghpull:`25496`: BUG: fix IPython's %pylab mode detection
+* :ghpull:`25503`: Backport PR #25495 on branch v3.7.x (DOC: Clarify note in get_path_collection_extents)
+* :ghpull:`25495`: DOC: Clarify note in get_path_collection_extents
+* :ghpull:`25490`: Backport PR #25486 on branch v3.7.x (DOC: remove rcdefaults from barh example)
+* :ghpull:`25480`: Backport PR #25476 on branch v3.7.x (DOC: Fix docstring formatting)
+* :ghpull:`25476`: DOC: Fix docstring formatting
+* :ghpull:`25474`: Backport PR #25470 on branch v3.7.x (FIX: do not cache exceptions)
+* :ghpull:`25470`: FIX: do not cache exceptions
+* :ghpull:`25465`: Backport PR #25442 on branch v3.7.x (Fix disconnection of callbacks when draggable artist is deparented.)
+* :ghpull:`25462`: Backport PR #25461 on branch v3.7.x (Fix issue #25458 by changing "normed" to "density" in documentation)
+* :ghpull:`25442`: Fix disconnection of callbacks when draggable artist is deparented.
+* :ghpull:`25459`: Backport PR #25457 on branch v3.7.x (Add references to backend_{gtk3,gtk4,wx} in docs.)
+* :ghpull:`25452`: Backport PR #25449 on branch v3.7.x (Bump pypa/cibuildwheel from 2.12.0 to 2.12.1)
+* :ghpull:`25451`: Backport PR #25433 on branch v3.7.x (Release mouse grabs when owning Axes is removed)
+* :ghpull:`25449`: Bump pypa/cibuildwheel from 2.12.0 to 2.12.1
+* :ghpull:`25433`: Release mouse grabs when owning Axes is removed
+* :ghpull:`25450`: Backport PR #25394 on branch v3.7.x ([DOC] Clarify how to change side of the TickedStroke ticks)
+* :ghpull:`25394`: [DOC] Clarify how to change side of the TickedStroke ticks
+* :ghpull:`25447`: Backport PR #23863 on branch v3.7.x (Add tests for mpl_toolkit anchored artists)
+* :ghpull:`23863`: Add tests for mpl_toolkit anchored artists
+* :ghpull:`25437`: Backport PR #25435 on branch v3.7.x (TST: unbreak appveyor)
+* :ghpull:`25435`: TST: unbreak appveyor
+* :ghpull:`25436`: Backport PR #25428 on branch v3.7.x (Fix Legend.set_draggable() with update="bbox")
+* :ghpull:`25428`: Fix Legend.set_draggable() with update="bbox"
+* :ghpull:`25411`: Backport PR #25409 on branch v3.7.x (Improve/correct documentation)
+* :ghpull:`25409`: Improve/correct documentation
+* :ghpull:`25402`: Merge v3.7.1-doc into v3.7.x
+* :ghpull:`25397`: Backport PR #25384 on branch v3.7.x (FIX: Remove some numpy function overrides from pylab)
+* :ghpull:`25384`: FIX: Remove some numpy function overrides from pylab
+* :ghpull:`25392`: Backport PR #25388 on branch v3.7.x (Better axis labels for examples)
+
+Issues (36):
+
+* :ghissue:`25511`: [Bug]: wspace and hspace in subfigures not working
+* :ghissue:`26230`: [Bug]: pcolor writing to read-only input mask
+* :ghissue:`26093`: [Bug]: pcolormesh writing to input mask
+* :ghissue:`24453`: [Bug]:  AnnotationBbox does not return correct window_extent before first draw
+* :ghissue:`26161`: [MNT]: install on Python 3.12.0b3
+* :ghissue:`26146`: Impossible to get the z value of a line in 3D
+* :ghissue:`26118`: [Bug]: symlog scale generates false warning when mouse is moved
+* :ghissue:`25806`: [Bug]: pdf export for large image sizes results in wrong colors
+* :ghissue:`20575`: cm.set_bad() not working for specific values of grayscale and dpi when saving as pdf
+* :ghissue:`26054`: [TST] Upcoming dependency test failures
+* :ghissue:`24025`: [Bug]: meta tables warn they cannot be subset
+* :ghissue:`25988`: [TST] Qt/Pyside 6.5.1 dependency test failures
+* :ghissue:`13109`: get_subplot_params behavior doesn't match docstring
+* :ghissue:`25963`: [Bug]: fig.get_constrained_layout_pads() raises AttributeError
+* :ghissue:`25912`: deal with upcoming deprecations in CPython
+* :ghissue:`12057`: TransformedBbox.contains has less-than-optimal semantics
+* :ghissue:`24818`: [Bug]: ax.errorbar raises for all-nan data on matplotlib 3.6.2
+* :ghissue:`18294`: UserWarning thrown when all values are "bad", but not when only some are
+* :ghissue:`25819`: [Bug]: Memory leak in constrained_layout
+* :ghissue:`25838`: [Doc]: running matplotlib with readonly fs
+* :ghissue:`25826`: [TST] Upcoming dependency test failures
+* :ghissue:`25789`: [TST] Upcoming dependency test failures
+* :ghissue:`25758`: [Doc]: Default value for nonpositive parameter is not as documented
+* :ghissue:`8981`: Incorrect imshow extent in PDF backend
+* :ghissue:`25678`: [Doc]: matplotlibrc.template does not exist anymore
+* :ghissue:`25625`: [Bug]: RuntimeError when bar_label of stacked bar chart comes to rest outside of plot's Y limit
+* :ghissue:`25443`: [Bug]: 3D set_aspect equal doesn't bound data in all cases
+* :ghissue:`7805`: tight layout kwargs have no effect if rc autolayout setting is set (MPL 1.5.3)
+* :ghissue:`25575`: [Bug]: imshow interpolation='none' ignored when using savefig() to PDF format
+* :ghissue:`23884`: [Doc]: Thumbnail title in gallery show rst formatting characters
+* :ghissue:`22625`: [Bug]: Setting bbox_inches to a Bbox in fig.savefig resizes colorbar
+* :ghissue:`25485`: [Bug]: Main loop integration with IPyhton broken after matplotlib version 3.6.2
+* :ghissue:`25440`: [Bug]: Attribute Error combining matplotlib 3.7.1 and mplcursor on data selection
+* :ghissue:`25345`: [Bug]: using clf and pyplot.draw in range slider on_changed callback blocks input to widgets
+* :ghissue:`25416`: Sphinx-Gallery 0.12 kills AppVeyor tests
+* :ghissue:`25379`: [TST] Upcoming dependency test failures
diff --git a/doc/users/prev_whats_new/github_stats_3.7.3.rst b/doc/users/prev_whats_new/github_stats_3.7.3.rst
new file mode 100644
index 000000000000..bb43c1a8395e
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.7.3.rst
@@ -0,0 +1,101 @@
+.. _github-stats-3-7-3:
+
+GitHub statistics for 3.7.3 (Sep 11, 2023)
+==========================================
+
+GitHub statistics for 2023/07/05 (tag: v3.7.2) - 2023/09/11
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 14 issues and merged 48 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/82?closed=1>`__
+
+The following 17 authors contributed 130 commits.
+
+* amiraflak
+* Amirreza Aflakparast
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Greg Lucas
+* hannah
+* Haoying Zhang
+* Jody Klymak
+* Kritika Verma
+* Kyle Sunden
+* marbled-toast
+* Mateusz Sokół
+* Matthew Feickert
+* Oscar Gustafsson
+* Ruth Comer
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (48):
+
+* :ghpull:`26725`: Backport PR #26719 on branch v3.7.x (Fix issue with missing attribute in Path3DCollection)
+* :ghpull:`26723`: Backport PR #26721 on branch v3.7.x (Add a Python 3.12 classifier)
+* :ghpull:`26719`: Fix issue with missing attribute in Path3DCollection
+* :ghpull:`26721`: Add a Python 3.12 classifier
+* :ghpull:`26672`: Backport cibuildwheel updates to v3.7.x
+* :ghpull:`26706`: Pin NumPy below v2 for 3.7.x
+* :ghpull:`26653`: Backport PR #26597 on branch v3.7.x (Squeeze post-converted values when validating limits)
+* :ghpull:`26597`: Squeeze post-converted values when validating limits
+* :ghpull:`26582`: MNT: Enable wheels for Python 3.12
+* :ghpull:`26616`: Backport PR #26598 on branch v3.7.x (FIX: array labelcolor for Tick)
+* :ghpull:`26598`: FIX: array labelcolor for Tick
+* :ghpull:`26610`: Backport PR #26538 on branch v3.7.x (Resolves #26421 Added an example for fig comparison decorator)
+* :ghpull:`26538`: Resolves #26421 Added an example for fig comparison decorator
+* :ghpull:`26574`: Backport PR #26571 on branch v3.7.x ([Doc]: match 3D plot types with others)
+* :ghpull:`26571`: [Doc]: match 3D plot types with others
+* :ghpull:`26570`: Backport PR #26569 on branch v3.7.x (refactor: constant "ncols" to variables)
+* :ghpull:`26569`: refactor: constant "ncols" to variables
+* :ghpull:`26555`: Backport PR #26554 on branch v3.7.x (Remove NumPy abs overrides from pylab)
+* :ghpull:`26552`: Backport PR #26493: Disable ````add_html_cache_busting```` on Sphinx 7.1+
+* :ghpull:`26554`: Remove NumPy abs overrides from pylab
+* :ghpull:`26549`: Backport PR #26545 on branch v3.7.x (Fix size inferral when using cairocffi)
+* :ghpull:`26545`: Fix size inferral when using cairocffi
+* :ghpull:`26544`: Backport PR #26532: Fix input check in Poly3DCollection.__init__
+* :ghpull:`26532`: Fix input check in Poly3DCollection.__init__
+* :ghpull:`26459`: Backport PR #26458 on branch v3.7.x (Remove soon to be deprecated nan/inf aliases)
+* :ghpull:`26458`: Remove soon to be deprecated nan/inf aliases
+* :ghpull:`26455`: Backport PR #26452 on branch v3.7.x (ENH: Update numpy exceptions imports)
+* :ghpull:`26452`: ENH: Update numpy exceptions imports
+* :ghpull:`26439`: Backport PR #26436 on branch v3.7.x (DOC: Add a warning that ticks are not persistent)
+* :ghpull:`26432`: Backport PR #26431 on branch v3.7.x (MNT: Unpin pyparsing, xfail error message tests for pyparsing 3.1.0)
+* :ghpull:`26436`: DOC: Add a warning that ticks are not persistent
+* :ghpull:`26428`: Merge branch v3.7.2-doc into v3.7.x
+* :ghpull:`26431`: MNT: Unpin pyparsing, xfail error message tests for pyparsing 3.1.0
+* :ghpull:`26412`: Backport PR #26405 on branch v3.7.x (DOC: Clarify the difference between document and section references)
+* :ghpull:`26390`: Backport PR #26354 on branch v3.7.x (DOC: contourf antialiased default)
+* :ghpull:`26354`: DOC: contourf antialiased default
+* :ghpull:`26386`: Backport PR #26370 on branch v3.7.x (Update README.txt )
+* :ghpull:`26364`: Backport PR #26361 on branch v3.7.x (LIC: Update the license we bundle the colorbrewer colormap data with)
+* :ghpull:`26361`: LIC: Update the license we bundle the colorbrewer colormap data with
+* :ghpull:`26322`: Backport PR #26321 on branch v3.7.x (remove quote box from font_manager)
+* :ghpull:`26318`: Backport PR #26317 on branch v3.7.x (update the doc string for fancyarrowpatch to link to annotate)
+* :ghpull:`26317`: update the doc string for fancyarrowpatch to link to annotate
+* :ghpull:`26304`: Backport PR #26300 on branch v3.7.x (FIX: do not warn when calling tight_layout multiple times)
+* :ghpull:`26300`: FIX: do not warn when calling tight_layout multiple times
+* :ghpull:`26301`: Backport PR #26291 on branch v3.7.x (Get correct renderer for axes_grid1 inset axes with bbox_inches=tight)
+* :ghpull:`26298`: Backport PR #26195 on branch v3.7.x ([Doc] link style sheets reference to customization tutorial)
+* :ghpull:`26291`: Get correct renderer for axes_grid1 inset axes with bbox_inches=tight
+* :ghpull:`26267`: Backport PR #26266 on branch v3.7.x (DOC: Use consistent font for anatomy example)
+
+Issues (14):
+
+* :ghissue:`26732`: [ENH]: Parser errors should mention that commands do not exist
+* :ghissue:`26497`: [Bug]: AttributeError: 'Path3DCollection' object has no attribute '_offset_zordered' (possible regression)
+* :ghissue:`26588`: [Bug]: Tick class instantiation returns an error when labelcolor is a tuple
+* :ghissue:`26421`: [Doc]: demo testing comparison decorator
+* :ghissue:`26486`: [Doc]: match 3D plot types listings titles to other titles
+* :ghissue:`26560`: [Doc]: ncols parameter hard-coded
+* :ghissue:`26553`: [TST] Upcoming dependency test failures
+* :ghissue:`26523`: [Bug]: backend_cairo set_context() is broken for cairocffi
+* :ghissue:`26420`: Typo in Poly3DCollection constructor
+* :ghissue:`26152`: [Bug]: Pyparsing 3.1 breaks tests
+* :ghissue:`26336`: [Doc]: GPL compatibility
+* :ghissue:`19721`: head size of FancyArrowPatch is "invisibly small" by default
+* :ghissue:`26290`: [Bug]: calling fig.tight_layout multiple times
+* :ghissue:`26287`: [Bug]: Error while creating inset axes using ``mpl_toolkits.axes_grid1.inset_locator.inset_axes``
diff --git a/doc/users/prev_whats_new/github_stats_3.8.0.rst b/doc/users/prev_whats_new/github_stats_3.8.0.rst
new file mode 100644
index 000000000000..219e60f399ac
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.8.0.rst
@@ -0,0 +1,1003 @@
+.. _github-stats-3-8-0:
+
+GitHub statistics for 3.8.0 (Sep 14, 2023)
+==========================================
+
+GitHub statistics for 2023/02/13 (tag: v3.7.0) - 2023/09/14
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 185 issues and merged 649 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/77?closed=1>`__
+
+The following 146 authors contributed 2914 commits.
+
+* 0xedl
+* Aalok Chhetri
+* Adam J. Stewart
+* Adam Turner
+* Albert Y. Shih
+* Alissa
+* Alissa Hodge
+* Almar Klein
+* Andreas Deininger
+* Antony Lee
+* Artem Shekhovtsov
+* Astra
+* Ben Root
+* Brandon Dusch
+* BuildTools
+* Caden Gobat
+* Chahak Mehta
+* Clément Robert
+* ColeBurch
+* Daniele Nicolodi
+* daniilS
+* David Kaméus
+* David Stansby
+* dependabot[bot]
+* Devilsaint
+* devRD
+* Dusch4593
+* DWesl
+* Eero Vaher
+* Elliott Sales de Andrade
+* Eric Firing
+* Eric Larson
+* Eric Prestat
+* Eric Wieser
+* Evgenii Radchenko
+* Fabian Joswig
+* Felix Goudreault
+* Gabriel Madeira
+* Gautam Sagar
+* Gokberk Gunes
+* Greg Lucas
+* Hai Zhu
+* hannah
+* Haojun Song
+* Hasan Rashid
+* haval0
+* Higgs32584
+* Ian Hunt-Isaak
+* Ian Thomas
+* II-Day-II
+* Irtaza Khalid
+* j1642
+* Jan-Hendrik Müller
+* Jarrod Millman
+* Jody Klymak
+* Johann Krauter
+* John Paul Jepko
+* Jonathan Wheeler
+* jsdodge
+* Julian Chen
+* kolibril13
+* krooijers
+* Kyle Sunden
+* Larry Bradley
+* LemonBoy
+* lganic
+* Lukas Schrangl
+* luke
+* marbled-toast
+* mariamalykh
+* Marisa Wong
+* Mateusz Sokół
+* Matt Newville
+* matt statham
+* Matthew Feickert
+* Matthew Morrison
+* Matthias Bussonnier
+* MeeseeksMachine
+* Melissa Weber Mendonça
+* melissawm
+* Michael Dittrich
+* Michael Higgins
+* Mubin Manasia
+* Mudassir Chapra
+* Niranjan
+* NISHANT KUMAR
+* Noy Hanan
+* Olin Johnson
+* Oscar Gustafsson
+* Pavel Zwerschke
+* Peter Cock
+* Petros Tzathas
+* Photoniker
+* photoniker
+* Pierre Haessig
+* Pieter Eendebak
+* Prajwal Agrawal
+* pre-commit-ci[bot]
+* priyanshi
+* Priyanshi Gaur
+* RadostW
+* Rahul Mohan
+* Ratnabali Dutta
+* rbt94
+* Richard Barnes
+* richardsheridan
+* RishabhSpark
+* Rob Righter
+* roberto.bodo
+* root
+* Ruth Comer
+* Sam
+* saranti
+* Scott Shambaugh
+* Shreeya Ramesh
+* Sia Ghelichkhan
+* Sigma-Verma
+* Smeet nagda
+* SnorfYang
+* Stefanie Molin
+* Steffen Rehberg
+* stevezhang
+* stevezhang1999
+* Talha Irfan
+* Thomas A Caswell
+* Thomas J. Fan
+* Tigran Khachatryan
+* Tim Hoffmann
+* Tom
+* Tom Sarantis
+* Tunç Başar Köse
+* Utkarsh Verma
+* vavanade
+* Vishal Pankaj Chandratreya
+* vivekvedant
+* vizzy_viz
+* Vladimir
+* Vladimir Ilievski
+* Waleed-Abdullah
+* weijili
+* whyvra
+* xtanion
+* Y.D.X
+* Yi Wei
+* yuzie007
+* 渡邉 美希
+
+GitHub issues and pull requests:
+
+Pull Requests (649):
+
+* :ghpull:`26777`: Backport PR #26702 on branch v3.8.x (converted coc to rst and put links in code_of_conduct.md)
+* :ghpull:`26775`: Backport PR #26767 on branch v3.8.x (Trim Gouraud triangles that contain NaN)
+* :ghpull:`26776`: Backport PR #26687 on branch v3.8.x (Remove usage of recarray)
+* :ghpull:`26702`: converted coc to rst and put links in code_of_conduct.md
+* :ghpull:`26687`: Remove usage of recarray
+* :ghpull:`26767`: Trim Gouraud triangles that contain NaN
+* :ghpull:`26770`: Backport PR #26762 on branch v3.8.x (MNT: Numpy 2.0 removals from ndarray class)
+* :ghpull:`26762`: MNT: Numpy 2.0 removals from ndarray class
+* :ghpull:`26769`: DOC: Pin mpl-sphinx-theme to 3.8.x
+* :ghpull:`26768`: Backport PR #26700 on branch v3.8.x (Check type for set_clip_box)
+* :ghpull:`26700`: Check type for set_clip_box
+* :ghpull:`26766`: Backport PR #26763 on branch v3.8.x (DOC: Add redirects for old gitwash files)
+* :ghpull:`26763`: DOC: Add redirects for old gitwash files
+* :ghpull:`26756`: Pin numpy to <2 for 3.8.0
+* :ghpull:`26761`: Merge branch v3.7.x into v3.8.x
+* :ghpull:`26757`: Backport PR #26628 on branch v3.8.x (DOC: move install related FAQ to install docs)
+* :ghpull:`26628`: DOC: move install related FAQ to install docs
+* :ghpull:`26753`: Backport PR #26705 on branch v3.8.x ([Doc] Small fixes found by velin)
+* :ghpull:`26705`: [Doc] Small fixes found by velin
+* :ghpull:`26746`: Backport PR #26671 on branch v3.8.x ([DOC] Enhance API reference index)
+* :ghpull:`26671`: [DOC] Enhance API reference index
+* :ghpull:`26740`: Backport PR #26676 on branch v3.8.x ([DOC] Slightly improve the LineCollection docstring)
+* :ghpull:`26676`: [DOC] Slightly improve the LineCollection docstring
+* :ghpull:`26712`: Backport PR #26491 on branch v3.8.x (TYP: Add common-type overloads of subplot_mosaic)
+* :ghpull:`26726`: Backport PR #26719 on branch v3.8.x (Fix issue with missing attribute in Path3DCollection)
+* :ghpull:`26724`: Backport PR #26721 on branch v3.8.x (Add a Python 3.12 classifier)
+* :ghpull:`26711`: Backport PR #26709 on branch v3.8.x (DOC: consistency in docstrings of formatting of array-like)
+* :ghpull:`26491`: TYP: Add common-type overloads of subplot_mosaic
+* :ghpull:`26709`: DOC: consistency in docstrings of formatting of array-like
+* :ghpull:`26708`: Backport PR #26601 on branch v3.8.x (Avoid checking limits when updating both min and max for contours)
+* :ghpull:`26601`: Avoid checking limits when updating both min and max for contours
+* :ghpull:`26701`: Backport PR #26695 on branch v3.8.x (Bump actions/checkout from 3 to 4)
+* :ghpull:`26695`: Bump actions/checkout from 3 to 4
+* :ghpull:`26694`: Backport PR #26689 on branch v3.8.x (Fix error generation for missing pgf.texsystem.)
+* :ghpull:`26522`: TST: Add failing test
+* :ghpull:`26689`: Fix error generation for missing pgf.texsystem.
+* :ghpull:`26688`: Backport PR #26680 on branch v3.8.x (Fix flaky CI tests)
+* :ghpull:`26680`: Fix flaky CI tests
+* :ghpull:`26675`: Backport PR #26665 on branch v3.8.x (Clarify loading of backend FigureCanvas and show().)
+* :ghpull:`26673`: Backport PR #26193 on branch v3.8.x (Sort tex2uni data in mathtext)
+* :ghpull:`26665`: Clarify loading of backend FigureCanvas and show().
+* :ghpull:`26193`: Sort tex2uni data in mathtext
+* :ghpull:`26663`: Backport PR #26245 on branch v3.8.x ([pre-commit.ci] pre-commit autoupdate)
+* :ghpull:`26668`: Backport PR #26541 on branch v3.8.x (TYP: Add typing on mathtext internals)
+* :ghpull:`26666`: Backport PR #26657 on branch v3.8.x (DOC: Fix some small issues)
+* :ghpull:`26541`: TYP: Add typing on mathtext internals
+* :ghpull:`26662`: Backport PR #26542 on branch v3.8.x (TST: Ensure test_webagg subprocess is terminated)
+* :ghpull:`26661`: Backport PR #26566 on branch v3.8.x (MAINT: Numpy 2.0 deprecations for row_stack and in1d)
+* :ghpull:`26657`: DOC: Fix some small issues
+* :ghpull:`26660`: Backport PR #26656 on branch v3.8.x (TYP: Fix some small bugs)
+* :ghpull:`26659`: Backport PR #26470 on branch v3.8.x ([DOC]: mathtext tutorial-consolidate explain and notes)
+* :ghpull:`26245`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`26658`: Backport PR #26608 on branch v3.8.x (Removed unnecessary origin keywords)
+* :ghpull:`26542`: TST: Ensure test_webagg subprocess is terminated
+* :ghpull:`26566`: MAINT: Numpy 2.0 deprecations for row_stack and in1d
+* :ghpull:`26656`: TYP: Fix some small bugs
+* :ghpull:`26651`: Backport PR #26348 on branch v3.8.x (Test some untested Locator code)
+* :ghpull:`26470`: [DOC]: mathtext tutorial-consolidate explain and notes
+* :ghpull:`26608`: Removed unnecessary origin keywords
+* :ghpull:`26655`: Backport PR #26649 on branch v3.8.x ([DOC] Remove "Discouraged" notices that have been superseded by deprecation)
+* :ghpull:`26654`: Backport PR #26597 on branch v3.8.x (Squeeze post-converted values when validating limits)
+* :ghpull:`26652`: Backport PR #26646 on branch v3.8.x (Use standard method for closing QApp when last window is closed.)
+* :ghpull:`26648`: Backport PR #26521 on branch v3.8.x (Replaced list with tuple in pyplot for axes)
+* :ghpull:`26649`: [DOC] Remove "Discouraged" notices that have been superseded by deprecation
+* :ghpull:`26647`: Backport PR #26582 on branch v3.8.x (MNT: Enable wheels for Python 3.12)
+* :ghpull:`26646`: Use standard method for closing QApp when last window is closed.
+* :ghpull:`26650`: Backport PR #26635 on branch v3.8.x ([MNT] Do not configure axes properties via subplots(..., subplot_kw={...}))
+* :ghpull:`26644`: Backport PR #26641 on branch v3.8.x ([Doc] Add ACCEPTS for some Axes set methods)
+* :ghpull:`26348`: Test some untested Locator code
+* :ghpull:`26635`: [MNT] Do not configure axes properties via subplots(..., subplot_kw={...})
+* :ghpull:`26521`: Replaced list with tuple in pyplot for axes
+* :ghpull:`26643`: Backport PR #26636 on branch v3.8.x ([Doc] Improve set_layout_engine docs)
+* :ghpull:`26641`: [Doc] Add ACCEPTS for some Axes set methods
+* :ghpull:`26640`: Backport PR #24209 on branch v3.8.x (List the webagg_core module in the sphinx docs.)
+* :ghpull:`26638`: Backport PR #26633 on branch v3.8.x ([Doc] Shorten documentation links in widgets)
+* :ghpull:`26636`: [Doc] Improve set_layout_engine docs
+* :ghpull:`24209`: List the webagg_core module in the sphinx docs.
+* :ghpull:`26633`: [Doc] Shorten documentation links in widgets
+* :ghpull:`26632`: Backport PR #26540 on branch v3.8.x (TYP: Add overloads for FT2Font.get_sfnt_table)
+* :ghpull:`26631`: Backport PR #26619 on branch v3.8.x ([DOC] Clarify some tick-related docstrings)
+* :ghpull:`26540`: TYP: Add overloads for FT2Font.get_sfnt_table
+* :ghpull:`26619`: [DOC] Clarify some tick-related docstrings
+* :ghpull:`26625`: Backport PR #26622 on branch v3.8.x ([Doc] Improve DSP-related examples)
+* :ghpull:`26622`: [Doc] Improve DSP-related examples
+* :ghpull:`26618`: Backport PR #24711 on branch v3.8.x (Test with Python 3.12)
+* :ghpull:`26617`: Backport PR #26598 on branch v3.8.x (FIX: array labelcolor for Tick)
+* :ghpull:`26615`: Backport PR #26614 on branch v3.8.x (Properly disconnect machinery when removing child axes.)
+* :ghpull:`26614`: Properly disconnect machinery when removing child axes.
+* :ghpull:`24711`: Test with Python 3.12
+* :ghpull:`26607`: Backport PR #26606 on branch v3.8.x ([Doc] Revise histogram features example (Closes #26604))
+* :ghpull:`26606`: [Doc] Revise histogram features example (Closes #26604)
+* :ghpull:`26599`: Backport PR #26565 on branch v3.8.x ([doc]: added section Verify installation)
+* :ghpull:`26565`: [doc]: added section Verify installation
+* :ghpull:`26595`: Backport PR #26591 on branch v3.8.x (Fix ToolBase.figure property setter.)
+* :ghpull:`26591`: Fix ToolBase.figure property setter.
+* :ghpull:`26584`: Backport PR #26581 on branch v3.8.x (Deduplicate test for toolbar button icon LA mode.)
+* :ghpull:`26585`: Backport PR #26576 on branch v3.8.x (Use sys.platform over os.name)
+* :ghpull:`26583`: Backport PR #26578 on branch v3.8.x (MAINT: add __pycache__/ to .gitignore)
+* :ghpull:`26576`: Use sys.platform over os.name
+* :ghpull:`26581`: Deduplicate test for toolbar button icon LA mode.
+* :ghpull:`26578`: MAINT: add __pycache__/ to .gitignore
+* :ghpull:`26579`: Backport PR #26572 on branch v3.8.x ([DOC]: clarify pre-commits and editing workflow)
+* :ghpull:`26572`: [DOC]: clarify pre-commits and editing workflow
+* :ghpull:`26575`: Backport PR #26573 on branch v3.8.x ([DOC]: codespace link in contribute index)
+* :ghpull:`26573`: [DOC]: codespace link in contribute index
+* :ghpull:`26568`: Backport PR #26462 on branch v3.8.x (Boxplot fix median line extending past box boundaries #19409)
+* :ghpull:`26416`: [doc]: add 'validate' section to install docs #26379
+* :ghpull:`26564`: Backport PR #26543 on branch v3.8.x (Add ninja to Cygwin builder)
+* :ghpull:`26462`: Boxplot fix median line extending past box boundaries #19409
+* :ghpull:`26563`: Backport PR #26519 on branch v3.8.x (Fix mathtext mismatched braces)
+* :ghpull:`26543`: Add ninja to Cygwin builder
+* :ghpull:`26519`: Fix mathtext mismatched braces
+* :ghpull:`26556`: Backport PR #26554 on branch v3.8.x (Remove NumPy abs overrides from pylab)
+* :ghpull:`26550`: Backport PR #26545 on branch v3.8.x (Fix size inferral when using cairocffi)
+* :ghpull:`26547`: Backport PR #26493 on branch v3.8.x (Disable ````add_html_cache_busting```` on Sphinx 7.1+)
+* :ghpull:`26546`: Backport PR #26201 on branch v3.8.x (DOC: Add documentation on codespaces usage)
+* :ghpull:`26548`: Backport PR #26514 on branch v3.8.x (Clarify interaction between params of get_path_collection_extents.)
+* :ghpull:`26514`: Clarify interaction between params of get_path_collection_extents.
+* :ghpull:`26537`: Backport PR #26529 on branch v3.8.x (Fix MathText antialiasing)
+* :ghpull:`26536`: Backport PR #26532 on branch v3.8.x (Fix input check in Poly3DCollection.__init__)
+* :ghpull:`26529`: Fix MathText antialiasing
+* :ghpull:`26534`: Backport PR #26513 on branch v3.8.x (Tweak shape repr in _api.check_shape error message.)
+* :ghpull:`26533`: Backport PR #26526 on branch v3.8.x (Bump pypa/cibuildwheel from 2.14.1 to 2.15.0)
+* :ghpull:`26513`: Tweak shape repr in _api.check_shape error message.
+* :ghpull:`26526`: Bump pypa/cibuildwheel from 2.14.1 to 2.15.0
+* :ghpull:`26201`: DOC: Add documentation on codespaces usage
+* :ghpull:`26530`: Backport PR #26509 on branch v3.8.x (Update/tweak SpanSelector docs.)
+* :ghpull:`26509`: Update/tweak SpanSelector docs.
+* :ghpull:`26528`: Backport PR #26504 on branch v3.8.x (TYP: Add overload to specify output of Colormap.__call__ when possible)
+* :ghpull:`26527`: Backport PR #26173 on branch v3.8.x (Synchronize mathtext docs and handling)
+* :ghpull:`26504`: TYP: Add overload to specify output of Colormap.__call__ when possible
+* :ghpull:`26173`: Synchronize mathtext docs and handling
+* :ghpull:`26511`: Backport PR #26490 on branch v3.8.x (Import PIL.Image explicitly over PIL)
+* :ghpull:`26490`: Import PIL.Image explicitly over PIL
+* :ghpull:`26503`: Backport PR #26502 on branch v3.8.x (TST: Increase some tolerances for non-x86 arches)
+* :ghpull:`26502`: TST: Increase some tolerances for non-x86 arches
+* :ghpull:`26499`: Backport PR #26498 on branch v3.8.x (Add plausible analytics to the documentation pages)
+* :ghpull:`26498`: Add plausible analytics to the documentation pages
+* :ghpull:`26493`: Disable ````add_html_cache_busting```` on Sphinx 7.1+
+* :ghpull:`26489`: Backport PR #26487 on branch v3.8.x (DOC: Remove unused image rotator)
+* :ghpull:`26487`: DOC: Remove unused image rotator
+* :ghpull:`26479`: ps: Add option to use figure size as paper size
+* :ghpull:`26469`: Deprecate PdfPages(keep_empty=True).
+* :ghpull:`24379`: DOC: Update dropped splines example
+* :ghpull:`26326`: Only do pchanged and set stale when value changes + doc consistency
+* :ghpull:`26443`: BLD: stop skipping musl wheel builds
+* :ghpull:`26475`: [DOC]: Noto Sans for windows docs builds
+* :ghpull:`26481`: Clarify behavior of norm clipping
+* :ghpull:`26474`: [DOC]: filter non-gui backend warnings when building docs
+* :ghpull:`26480`: [DOC] Documentation fixes
+* :ghpull:`26476`: Remove auto from supported ps.papersizes in matplotlibrc.
+* :ghpull:`25966`: Fix support for Ctrl-C on the macosx backend.
+* :ghpull:`26473`: Fix codespaces setup.sh script
+* :ghpull:`24376`: Support removing inner ticks in label_outer()
+* :ghpull:`25785`: Deprecate papersize=auto in PostScript
+* :ghpull:`26472`: Do not close figures on backend switch.
+* :ghpull:`26402`: Restructure interface section of API Reference index page
+* :ghpull:`26467`: MNT: Adjust for upcoming numpy repr changes
+* :ghpull:`26451`: TYP: Add several missing return type annotations
+* :ghpull:`26466`: Make annotate/OffsetFrom unaffected by later mutation of coordinates.
+* :ghpull:`26445`: [DOC]: annotation tutorial: blended artist, headers, and user demo deletes
+* :ghpull:`26454`: Rename an internal parameter of _label_outer_x/yaxis()
+* :ghpull:`26130`: Enable branch coverage for C/C++ code
+* :ghpull:`26448`: [DOC] Update dependency documentation
+* :ghpull:`26450`: Fix return value of Text.update
+* :ghpull:`26447`: DOC: Fix accidental cases of blockquotes
+* :ghpull:`26401`: WARN: more direct warning ticklabels
+* :ghpull:`26444`: Fix some bugs found by typing
+* :ghpull:`26253`: Filter out inf values in plot_surface
+* :ghpull:`26407`: Improve some smaller typing issues
+* :ghpull:`26328`: [DOC]: improve consistency of plot types gallery
+* :ghpull:`26434`: TYP: Adjust type hint of Norm.__call__ to return masked array
+* :ghpull:`26376`: Text antialiasing for mathtext (reopen)
+* :ghpull:`25830`: Specify ticks and axis label positions for 3D plots
+* :ghpull:`25784`: ps: Fix anchoring of rotated usetex text
+* :ghpull:`26403`: Update type hints for font manager and extension
+* :ghpull:`26433`: Call out which pane is hovered over for 3d hover coordinates
+* :ghpull:`26418`: Add next_whats_new entries for mathtext features
+* :ghpull:`26429`: DOC: update ContourSet attributes deprecation advice
+* :ghpull:`26051`: Type hinting developer docs
+* :ghpull:`26427`: Improve button widget examples a bit
+* :ghpull:`26423`: Fix pyparsing version check
+* :ghpull:`26425`: Delete second MRI demo example
+* :ghpull:`26424`: macos: Don't leak None in Timer cleanup
+* :ghpull:`26332`: moved doc root to landing page, make user landing a guide page
+* :ghpull:`26408`: DOC: add note about manually downloading qhull + freetype
+* :ghpull:`26404`: Remove old What's new entries
+* :ghpull:`26011`: Emit xlim_changed on shared axes.
+* :ghpull:`25810`: Fix default return of Collection.get_{cap,join}style
+* :ghpull:`26168`: Add _val_or_rc-function
+* :ghpull:`26335`: Optimize imshow
+* :ghpull:`26367`: Add typing for internal helpers
+* :ghpull:`26397`: TYP: Add type hints to testing module
+* :ghpull:`26399`: Reinstate & deprecate ContourSet.antialiased
+* :ghpull:`26385`: Improve typing in pyplot
+* :ghpull:`26151`: Add substack cmd for mathtext
+* :ghpull:`26396`: Move pylab documentation to its own module page
+* :ghpull:`26393`: TST: Remove extra dummy Axis classes
+* :ghpull:`26384`: Fix triage tool due to Qt bump to 5.12
+* :ghpull:`26382`: Tweak hist2d docstring.
+* :ghpull:`26359`: Simplify MRI with EEG example
+* :ghpull:`26071`: ENH: macosx allow figures to be opened in tabs or windows
+* :ghpull:`16473`: Make ``.axis(zmin=...)`` work on 3D axes
+* :ghpull:`26333`: Add middle for delims
+* :ghpull:`26365`: Fix removal of Figure-level artists
+* :ghpull:`26341`: Fix pickling of axes property cycle.
+* :ghpull:`26279`: DOC: remove users_explain/axis
+* :ghpull:`26347`: Add tests for LogFormatter.format_data and format_data_short
+* :ghpull:`26329`: Clarify that ImageGrid requires limits-sharing.
+* :ghpull:`26349`: Tweak Sankey docs.
+* :ghpull:`26352`: Fix bad histogramming bins in mri/eeg example.
+* :ghpull:`26353`: Remove unused private method
+* :ghpull:`26342`: ENH: Collection.set_paths
+* :ghpull:`26344`: Some more micro optimizations
+* :ghpull:`26346`: Increase coverage
+* :ghpull:`26330`: Deprecate wrappers combining axes_grid1 and axisartist.
+* :ghpull:`26338`: Bump pypa/cibuildwheel from 2.14.0 to 2.14.1
+* :ghpull:`26331`: Support standard Axes in RGBAxes.
+* :ghpull:`26219`: DOC: Restore banner indicating docs are unreleased
+* :ghpull:`25558`: Simplify outdated Image.contains check.
+* :ghpull:`26324`: More micro optimizations of plot
+* :ghpull:`26325`: Remove unused variables
+* :ghpull:`26022`: MNT/FIX: macosx change Timer to NSTimer instance
+* :ghpull:`26303`: Micro optimization of plotting
+* :ghpull:`26249`: FIX: axes3d.scatter color parameter doesn't decrease in size for non-finite coordinate inputs.
+* :ghpull:`26078`: Fix parasite_axes does not properly handle units
+* :ghpull:`25839`: [ENH]: int / float-tuple like kwarg legend(loc) for rcParams['legend.loc']
+* :ghpull:`26056`: Privatize TexManager.texcache
+* :ghpull:`25363`: Bump minimum QT5 version to 5.12
+* :ghpull:`26176`: Add more sizeable delimiters
+* :ghpull:`26302`: FIX: move the font lock higher up the call and class tree
+* :ghpull:`26309`: qt: Mark canvas for re-draw after savefig
+* :ghpull:`26311`: FIX: labels at start of contours
+* :ghpull:`26278`: ENH: clip_path keyword for contour and contourf
+* :ghpull:`26295`: Deprecate inset_locator.InsetPosition.
+* :ghpull:`26122`: Only change axes aspect in imshow if image transform is/contains transData
+* :ghpull:`26297`: Use transformed paths for contour labelling decisions
+* :ghpull:`26160`: add setters and getters for _AxLine's xy1, xy2 and slope parameters
+* :ghpull:`26294`: Deprecate cbook.Stack.
+* :ghpull:`26284`: Bump pypa/cibuildwheel from 2.13.1 to 2.14.0
+* :ghpull:`25661`: boldsymbol support for mathtext
+* :ghpull:`26285`: Improve exception message for set_ticks() kwargs without labels
+* :ghpull:`14593`: Simplify SecondaryAxis.set_color.
+* :ghpull:`26273`: TST: simplify mask in pcolor writing to mask test
+* :ghpull:`26263`: Doc fix toc users
+* :ghpull:`26242`: Deprecate FigureCanvasBase.switch_backends.
+* :ghpull:`26164`: Only clear Axis once when creating an Axes
+* :ghpull:`26035`: issue #26031 -  [MNT]: decrease timeout on interactive tests locally
+* :ghpull:`23485`: Fix displayed 3d coordinates showing gibberish
+* :ghpull:`25027`: Make pcolor more mesh-like
+* :ghpull:`26235`: MNT:Decreased timeout for local interactive tests
+* :ghpull:`26270`: Merge v3.7.x into main
+* :ghpull:`26269`: DOC: Fix image_rotator
+* :ghpull:`26265`: DOC: ensure that the bounding box is scaled with dpi in example
+* :ghpull:`26255`: DOC: Modernize Colorbar Tick Labelling example
+* :ghpull:`26258`: DOC: fix rst formatting
+* :ghpull:`26257`: DOC: Clarify terminology
+* :ghpull:`26256`: Better document the ContourSet API change.
+* :ghpull:`26254`: DOC: Improve readability of date formatters/locators example
+* :ghpull:`26233`: DOC: replaced step with stairs in basic plot types
+* :ghpull:`26213`: Add ``CITATION.cff`` file
+* :ghpull:`26226`: Use CLOSEPOLY kind code to close tricontourf polygons
+* :ghpull:`26208`: FIX: also copy the axis units when creating twins
+* :ghpull:`26185`: Set transform for offset text in 3d
+* :ghpull:`26068`: Rewrite Tick formatters example
+* :ghpull:`26218`: moved minimum dependencies to maintenance section
+* :ghpull:`26217`: Doc/rm maintainer wf
+* :ghpull:`26212`: Avoid deprecated typing hints
+* :ghpull:`26198`: Limit Forward references in Mathtext parser
+* :ghpull:`26210`: Re-export textpath types in text
+* :ghpull:`25247`: Turn ContourSet into a standard Collection artist.
+* :ghpull:`26204`: ci: Add tzdata to nightly builds
+* :ghpull:`26200`: [Doc] Add note about (str, alpha) version added
+* :ghpull:`26171`: precommit warns on main + instructions for fix
+* :ghpull:`26189`: Factor out legend/figlegend nargs validation.
+* :ghpull:`26199`: ci: Fix typo for nightly builds
+* :ghpull:`26197`: CI: Add pre-release installs to upcoming tests
+* :ghpull:`26086`: reorganize contributing landing page
+* :ghpull:`17497`: Dedupe some C++ templates
+* :ghpull:`26190`: Deprecate removal of explicit legend handles whose label starts with _.
+* :ghpull:`26188`: Add note to remove texts in baselines when they are regenerated.
+* :ghpull:`25714`: Fix ffmpeg framerates
+* :ghpull:`26142`: [Doc] alphabetize mathtext symbols by unicode
+* :ghpull:`25933`: Relational Operators for mathtext
+* :ghpull:`26159`: DOC: Remove unused static images
+* :ghpull:`25913`: DOC: contributing and documenting clean ups + community for incubator invites
+* :ghpull:`26141`: Doc cards user explain
+* :ghpull:`26110`: DOC: fix levels in user/explain/figure
+* :ghpull:`26102`: Start basing mathtext tutorial on mathtext parser
+* :ghpull:`26138`: MNT: add VNClte porte by default
+* :ghpull:`26089`: Add public method to update ``Legend`` object's loc property .
+* :ghpull:`26137`: Add codespaces configuration
+* :ghpull:`25548`: FIX: macosx keep track of mouse up/down for cursor hand changes
+* :ghpull:`26132`: MNT: remove test images from mathtext tests that have been removed
+* :ghpull:`26125`: Stop building universal2 and win32 wheels
+* :ghpull:`26105`: Doc user guide cards
+* :ghpull:`26128`: Add missing spacer in tk toolmanager toolbar.
+* :ghpull:`26129`: Remove outdated comment in ``Artist.__getstate__``
+* :ghpull:`25631`: API: forbid unsafe savefig kwargs to AbstractMovieWriter.grab_frame
+* :ghpull:`25926`: DOC: restore navigation documentation
+* :ghpull:`24666`: Setting color of legend shadow
+* :ghpull:`26010`: Correct Unicode for [lg]napprox
+* :ghpull:`26120`: Fix new warnings in compiled extensions
+* :ghpull:`26060`: Mnt: GUI tests
+* :ghpull:`25623`: Use classic style in old what's new entries
+* :ghpull:`26113`: Fixes #12926 - inconsistency upon passing C in hexbin
+* :ghpull:`25555`: Let widgets/clabel better handle overlapping axes.
+* :ghpull:`26114`: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
+* :ghpull:`26112`: Skip tests for users-explain gallery
+* :ghpull:`26111`: [MNT] Update nightly wheels install location
+* :ghpull:`25779`: Adding ellipse_arrow.py example and closes #25477
+* :ghpull:`26101`: Correct bounding box calculation for text markers
+* :ghpull:`26096`: FIX: Handle masked arrays for RGBA input with ScalarMappables
+* :ghpull:`26024`: Add missing operators code
+* :ghpull:`26072`: Pcolormesh with Gouraud shading: masked arrays
+* :ghpull:`25381`: ENH: switch mpl_toolkits to implicit namespace package (PEP 420)
+* :ghpull:`26070`: Factor out common checks for set_data in various Image subclasses.
+* :ghpull:`26091`: Shorten axes_grid1 inset_locator code.
+* :ghpull:`26090`: ci: Move Python 3.11 job to Ubuntu 22.04
+* :ghpull:`21054`: Deprecate many single-use rc validators.
+* :ghpull:`26065`: Install extra requirements when testing with 3.11 on GH
+* :ghpull:`26080`: Deprecate unused "frac" key in annotate() arrowprops.
+* :ghpull:`25248`: added Ishikawa plot in response to issue #25222 add organizational ch…
+* :ghpull:`26064`: add ishikawa diagram to examples
+* :ghpull:`26079`: Tweak Annotation docstring.
+* :ghpull:`26069`: Tweak AnnotationBbox coords specification.
+* :ghpull:`26073`: Cleanup date tick locators and formatters
+* :ghpull:`26057`: Further cleanup rainbow_text example.
+* :ghpull:`26058`: Don't show type hints in rendered docs
+* :ghpull:`26042`: Further simplify AxesGrid._init_locators.
+* :ghpull:`25993`: Modify rainbow_text() function to use annotate() function
+* :ghpull:`25850`: Handle exceptions in numpy::array_view<...>::set().
+* :ghpull:`25542`: ENH: offset parameter for MultipleLocator
+* :ghpull:`25515`: DOC/BLD: plot directive srcset
+* :ghpull:`26045`: 'Inactive' workflow: reduce run frequency
+* :ghpull:`26047`: PR welcome: getting attention
+* :ghpull:`26023`: CI: Use scientific-python/upload-nightly-action
+* :ghpull:`25775`: Support customizing antialiasing for text and annotation
+* :ghpull:`26036`: Cleanup AxesGrid
+* :ghpull:`26025`: MNT: Use commit SHA of cibuildwheel action release
+* :ghpull:`25938`: “Inactive� workflow: bump operations to 175
+* :ghpull:`26020`: Let AxesGrid support Axes subclasses that don't override axis().
+* :ghpull:`26017`: MNT: reduce number of implicit imports from toplevel __init__.py
+* :ghpull:`26033`: removed wrapping from first-issue-bot
+* :ghpull:`26003`: added alias to gray and grey match same colormaps
+* :ghpull:`26027`: Correct spelling in 'Good first issue'
+* :ghpull:`26026`: Simplify delaxes.
+* :ghpull:`26028`: Better document the semantics of get_text_width_height_descent.
+* :ghpull:`26018`: good first issue bot rewording
+* :ghpull:`13482`: Allow sharing Locators and Formatters across Axises.
+* :ghpull:`25950`: Upload nightlies to new location
+* :ghpull:`25473`: ci: Merge sdist and wheel building workflows
+* :ghpull:`25825`: Fix MarkerStyle types
+* :ghpull:`26002`: Bump pypa/cibuildwheel from 2.12.3 to 2.13.0
+* :ghpull:`25999`: "Inactive" workflow: add close label for inactive issues
+* :ghpull:`24493`: DOC: dropdowns in userguide
+* :ghpull:`25970`: FIX: resolve an issue where no ticks would be drawn for a colorbar with SymLogNorm and ranging exactly from 0 to linthresh
+* :ghpull:`25989`: test annotate(textcoords=offset fontsize)
+* :ghpull:`25044`: Modify ``hexbin`` to respect :rc:``patch.linewidth``
+* :ghpull:`25667`: Fix bar datetime
+* :ghpull:`25794`: Raise on plural scatter
+* :ghpull:`25986`: Remove unused/unnecessary parts of _macosx.m View.
+* :ghpull:`25689`: Update watermark example
+* :ghpull:`25735`: Add comment on issues marked 'good first issue'
+* :ghpull:`25968`: Cleanup scalarformatter.py example.
+* :ghpull:`18715`: Allow setting default AutoMinorLocator
+* :ghpull:`25961`: Fix nightly CI
+* :ghpull:`25844`: [TYP] Reduce stubtest ignores
+* :ghpull:`25952`: Switch from provision-with-micromamba to setup-micromamba
+* :ghpull:`25940`: Cleanups to Annotation.
+* :ghpull:`25948`: DOC: don't advocate deleting main branch
+* :ghpull:`25939`: Cleanup time_series_histogram example.
+* :ghpull:`25883`: Check gridspecness of colorbars on the right figure.
+* :ghpull:`25904`: Support spine.set() in SpinesProxy.
+* :ghpull:`25909`: #25900 update figure.py
+* :ghpull:`25746`: Tick label font family via tick_params
+* :ghpull:`25787`: [TYP/MNT] Remove unused imports from stub files
+* :ghpull:`25891`: Adds tests for nargs_err in legend, stem, pcolorfast and cycler.
+* :ghpull:`25886`: Simplify isort config.
+* :ghpull:`25889`: Deprecate CbarAxesBase.toggle_label.
+* :ghpull:`25884`: Correctly pass location when constructing ImageGrid colorbar.
+* :ghpull:`25888`: Fix incorrect doc references.
+* :ghpull:`25885`: Cleanup demo_axes_grid{,2}.
+* :ghpull:`25872`: MNT: update Shadow init signature
+* :ghpull:`25389`: Add configuration of Shadow and pie shadow
+* :ghpull:`25859`: Deprecate passing extra arguments to Figure.add_axes
+* :ghpull:`25863`: Fix incorrect usage of nargs_error.
+* :ghpull:`25845`: more explicit about what remote means in context
+* :ghpull:`23888`: Fix PolygonSelector.clear()
+* :ghpull:`25848`: Simplify lasso_demo example.
+* :ghpull:`25841`: Deprecate Tick.set_label{1,2}.
+* :ghpull:`25728`: Remove and deprecate unused methods in src
+* :ghpull:`25843`: Fix invalid range validators.
+* :ghpull:`25821`: 3D plots shared view angles
+* :ghpull:`25726`: Replace usage of WenQuanYi Zen Hei by Noto Sans CJK
+* :ghpull:`25828`: DOC: add remote upstream
+* :ghpull:`25814`: [TYP] Correct type hint for Transform.transform return
+* :ghpull:`25812`: Fix typo in ruff config
+* :ghpull:`25807`: Users guide->User guide
+* :ghpull:`25799`: Discourage fontdict
+* :ghpull:`25798`: [DOC/TYP]: Allow any array like for set_[xy]ticks, not just list of float
+* :ghpull:`25632`: Include data kwarg in pyi stubs
+* :ghpull:`25790`: Document default value of corner_mask in the corresponding example.
+* :ghpull:`25788`: ci: Increase retry count on PR conflict check
+* :ghpull:`25482`: Draw 3D gridlines below axis lines, labels, text, and ticks
+* :ghpull:`25607`: Missing return type hints for Figure
+* :ghpull:`25783`: Cleanup demo_text_path.
+* :ghpull:`25780`: Shorten anchored_artists example.
+* :ghpull:`25781`: Deprecate AnchoredEllipse.
+* :ghpull:`25786`: DOC: Fix minor typo in API change notes
+* :ghpull:`25773`: condensed pull request template
+* :ghpull:`25712`: Prevents axes limits from being resized by axes.fill_between
+* :ghpull:`25782`: Fix release note reference to pyplot.axis
+* :ghpull:`25777`: Cleanup demo_axes_divider.
+* :ghpull:`25774`: Small axislines.Axes cleanups.
+* :ghpull:`25772`: Only print actually tested QT APIs when erroring
+* :ghpull:`25769`: Set PostScript language level to 3
+* :ghpull:`25753`: Update, correct, and add badges/links
+* :ghpull:`25747`: Tweak axis_direction demo.
+* :ghpull:`23059`: FIX: Decrease figure refcount on close of a macosx figure
+* :ghpull:`25606`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`25752`: Enable lazy-loading of images in HTML docs
+* :ghpull:`25648`: Remove nonfunctional Axes3D.set_frame_on and get_frame_on methods.
+* :ghpull:`25479`: FIX: Allow different colormap name from registered name
+* :ghpull:`25763`: Bump pypa/cibuildwheel from 2.12.1 to 2.12.3
+* :ghpull:`24661`: Plots first and last minor ticks #22331
+* :ghpull:`25759`: Fix typo in api_interfaces.rst
+* :ghpull:`20214`: Move AxisArtistHelpers to toplevel.
+* :ghpull:`25737`: Update PULL_REQUEST_TEMPLATE.md to include issue cross-reference.
+* :ghpull:`25729`: Cleanup GridHelperCurveLinear/GridFinder.
+* :ghpull:`25730`: Add test for Path.contains_path
+* :ghpull:`25359`: Add bfit bolditalic tex cmd
+* :ghpull:`25739`: grammar/wording tweak for backports
+* :ghpull:`25597`: Add (color, alpha) tuple as a valid ColorType in typing.py
+* :ghpull:`25324`: Fix axes vlines and hlines using wrong coordinates
+* :ghpull:`25713`: Remove print_figure overrides in backend subclasses
+* :ghpull:`25719`: TYP: Clean up CapStyle/FillStyle type hints
+* :ghpull:`25720`: ci: Set apt to retry operations on failure
+* :ghpull:`25722`: DOC: Fix duplicated words
+* :ghpull:`25584`: Expire remaining 3.6 deprecations
+* :ghpull:`25721`: TST: Handle missing black more resiliently
+* :ghpull:`25718`: Improve color documentation and typing
+* :ghpull:`25652`: DOC: clarify the milestoning and backport policy wording
+* :ghpull:`25711`: TYP: allow for xlim/ylim passed as single tuple
+* :ghpull:`25594`: changed to RST
+* :ghpull:`25708`: Deprecate unused NavigationToolbar2QT signal.
+* :ghpull:`25618`: DOC: fix Sphinx Gallery discussion to explain mixed subddirs
+* :ghpull:`25710`: TYP: Fix type hint (and docstring) for Bbox.intersection
+* :ghpull:`25707`: CI: skip Azure Pipelines for doc-only change
+* :ghpull:`25686`: Add Figure methods get_suptitle(), get_subxlabel(), get_supylabel()
+* :ghpull:`25697`: Annotation cleanups.
+* :ghpull:`25586`: Post stubtest results to GitHub checks
+* :ghpull:`25696`: Use true positional args in check_foo APIs instead of simulating them.
+* :ghpull:`25698`: Fix codecov.yml so it is valid.
+* :ghpull:`25687`: More informative exception messages
+* :ghpull:`25692`: Fixed bug: mathtext rendered width not being calculated correctly
+* :ghpull:`25690`: TST: Import MatplotlibDeprecationWarning consistently
+* :ghpull:`22286`: Fixed ``eventplot`` issues
+* :ghpull:`25656`: DOC: update/fix autoscaling documentation
+* :ghpull:`25668`: Fix what's new note for text
+* :ghpull:`25651`: MNT: deprecate unused numdecs LogLocator param
+* :ghpull:`25655`: Clean up FileIO type hints
+* :ghpull:`25664`: Fix 'can not' -> 'cannot' typo
+* :ghpull:`25657`: Bump cygwin/cygwin-install-action from 3 to 4
+* :ghpull:`25640`: pgf: Add clipping to text outputs
+* :ghpull:`25639`: Fixing typos
+* :ghpull:`25647`: Pin mypy to v1.1.1 for CI
+* :ghpull:`25588`: Rename parameters for consistency
+* :ghpull:`25628`: Bump invalid hatch removal
+* :ghpull:`25610`: DOC: Update user_explain\text\README.txt to reference example page
+* :ghpull:`25587`: Ensure tinypages ignored by mypy/stubtest
+* :ghpull:`25609`: Use _api.nargs_error in more places
+* :ghpull:`25414`: DOC: add a note about linewidth to scatter docs
+* :ghpull:`23199`: Do not set clip path if it exists
+* :ghpull:`22173`: Support ``\text`` in ``mathtext``
+* :ghpull:`24312`: Deprecate axes_divider.AxesLocator.
+* :ghpull:`24969`: Optimize C code
+* :ghpull:`25501`: FIX: Tk photoimage resize
+* :ghpull:`25565`: making sure colors has the attribute size
+* :ghpull:`25583`: MNT: use less eval
+* :ghpull:`25569`: Use raw instead of png for font manager memory leak test
+* :ghpull:`25253`: Use pybind11 in ttconv module
+* :ghpull:`24976`: Initial implementation of type stubs (mypy/PEP484)
+* :ghpull:`25576`: Skip pgf pdflatex text if cm-super is not installed
+* :ghpull:`24991`: Fix issue with shared log axis
+* :ghpull:`25221`: Add links and expand mathmpl docstring
+* :ghpull:`25498`: FIX: Use mappable data when autoscaling colorbar norm
+* :ghpull:`25570`: Use symbolic operator names (moveto, lineto) in contour_manual example.
+* :ghpull:`25559`: Make guiEvent available only within the event handlers.
+* :ghpull:`25405`: Fix incorrect stride calculations in LogLocator.tick_values()
+* :ghpull:`25226`: Fix unintended space after comma as a decimal separator
+* :ghpull:`25563`: Add pytest==7.0.0 on requirements/testing/minver.txt
+* :ghpull:`25553`: FIX: macosx, always put timers on main thread
+* :ghpull:`25557`: Rename parameter of Annotation.contains and Legend.contains.
+* :ghpull:`25564`: Bump actions/stale from 7 to 8
+* :ghpull:`25562`: Add pytest==3.6.0 on requirements/testing/minver.txt
+* :ghpull:`25551`: Restore autolimits status when pressing "home" key.
+* :ghpull:`25554`: Remove unused private SpanSelector._pressv and ._prev.
+* :ghpull:`25546`: In Artist.contains, check that moussevents occurred on the right canvas.
+* :ghpull:`24728`: Add Axes.ecdf() method.
+* :ghpull:`25291`: Limit full-invalidation of CompositeGenericTransforms.
+* :ghpull:`25550`: "Inactive" workflow: bump operations to 150
+* :ghpull:`25539`: Remove explicit symbol visibility pragmas
+* :ghpull:`25502`: DOC: Suggest replacement for tostring_rgb
+* :ghpull:`25532`: Annotations tutorial
+* :ghpull:`25456`: Expire more mpl3.6 deprecations.
+* :ghpull:`25505`: DOC: combine marker examples
+* :ghpull:`25510`: Remove unnecessary calls to Formatter.set_locs.
+* :ghpull:`25487`: DOC/BLD: stop using sg head [ci doc]
+* :ghpull:`25507`: gitignore doc/users/explain
+* :ghpull:`25504`: "Inactive" workflow: bump operations to 125
+* :ghpull:`24691`: ENH: Add option to define a color as color=(some_color, some_alpha)
+* :ghpull:`25475`: Stop building 32-bit Linux wheels
+* :ghpull:`25484`: Deprecate tostring_rgb.
+* :ghpull:`25395`: DOC: user/explain reorg (and moving a lot of tutorials).
+* :ghpull:`25425`: Added get_shape as an alias for get_size + tests
+* :ghpull:`25281`: Bugfix for loc legend validation
+* :ghpull:`25469`: Autoload numpy arrays in get_sample_data.
+* :ghpull:`25472`: Use get_sample_data(..., asfileobj=False) less.
+* :ghpull:`25444`: Adjust parent axes limits when clearing floating axes.
+* :ghpull:`25235`: Update release guide instructions post v3.7.0
+* :ghpull:`24531`: Use user-selected format in Tk savefig, rather than inferring it from the filename
+* :ghpull:`25467`: DOC: update suptitle example to remove percent_bachelors_degrees csv
+* :ghpull:`25454`: Remove unnecessary norm typecheck in tripcolor().
+* :ghpull:`25455`: “Inactive� workflow: bump operations to 100
+* :ghpull:`25464`: Skip Appveyor for doc only change (second attempt)
+* :ghpull:`25430`: Edit error messages for when metadata is passed to ``savefig``
+* :ghpull:`23200`: Deprecate empty offsets in get_path_collection_extents
+* :ghpull:`25427`: Store FloatingAxes "extremes" info in fewer places.
+* :ghpull:`25434`: ci: Install pytz for Pandas nightly wheel
+* :ghpull:`25404`: Move _SelectorWidget._props into SpanSelector
+* :ghpull:`25421`: wx backend should flush the clipboard before closing it
+* :ghpull:`25429`: DOC: remove default logo [ci doc]
+* :ghpull:`25423`: DOC/BLD: make logo compatible with pydata-sphinx-theme
+* :ghpull:`25424`: “Inactive� workflow: increase operations to 75
+* :ghpull:`25138`: Deprecate QuadContourSet.allsegs, .allkinds, .tcolors, .tlinewidths.
+* :ghpull:`25415`: Add links for path types and general improvements
+* :ghpull:`25420`: Print incorrect tz argument in error message
+* :ghpull:`25413`: Make tk backend use native crosshair cursor
+* :ghpull:`24984`: Expire deprecations from 3.6
+* :ghpull:`25380`: Merge 3.7.1 into main
+* :ghpull:`24861`: Documentation fixes
+* :ghpull:`24649`: Fix loc legend validation
+* :ghpull:`25383`: CI: skip appveyor for doc only change
+* :ghpull:`25081`: added a note to avoid f-strings in logging
+* :ghpull:`25373`: Expire mpl_toolkits deprecations.
+* :ghpull:`25387`: Remove LGTM references and minor doc fixes
+* :ghpull:`25382`: Correct patheffects doc
+* :ghpull:`25378`: "Inactive" workflow: bump operations-per-run
+* :ghpull:`25358`: Remove unused menu field from macos NavigationToolbar2.
+* :ghpull:`25352`: MNT: Use WeakKeyDictionary and WeakSet in Grouper
+* :ghpull:`20649`: Add colour vision deficiency simulation
+* :ghpull:`25287`: Fix unmatched offsetText label color
+* :ghpull:`25332`: Support pickling of figures with aligned x/y labels.
+* :ghpull:`25334`: Fix for all NANs in contour
+* :ghpull:`25335`: "Inactive" workflow: fix typo
+* :ghpull:`25163`: GitHub: auto set inactive label
+* :ghpull:`22816`: FIX: savefig)...,transparent=True) now makes inset_axes transparent a…
+* :ghpull:`25316`: Use setattr_cm more.
+* :ghpull:`25258`: Document PowerNorm parameters
+* :ghpull:`25209`: MNT: re-organize galleries under one subdir
+* :ghpull:`25304`: Add import sorting to ``/plot_types``
+* :ghpull:`25296`: Remove straggler 3.7 release notes
+* :ghpull:`25147`: Add ruff config to pyproject.toml for devs who are interested
+* :ghpull:`25282`: Simplify transforms invalidation system.
+* :ghpull:`25270`: merge up 3.7.0
+* :ghpull:`25255`: Make default facecolor for subfigures be transparent ("none"). Fix for issue #24910
+* :ghpull:`25252`: Support make_compound_path concatenating only empty paths.
+* :ghpull:`25211`: Em dashes instead of consecutive hyphens.
+* :ghpull:`25243`: Cleanup wx docstrings.
+* :ghpull:`25261`: [CI] Skip tests on doc-only changes
+* :ghpull:`25192`: Expire wx canvas param deprecation
+* :ghpull:`25249`: DOC: remove constrained_layout kwarg from tutorials and user guide
+* :ghpull:`25232`: Remove a redundant comma in ``AsinhScale``
+* :ghpull:`25195`: DOC: explain how to make a fixed-size axes
+* :ghpull:`25207`: Add mpl_round_to_int
+* :ghpull:`24983`: Refactor parts of Axis for readability
+* :ghpull:`25203`: Replace checking Number with Real
+* :ghpull:`25202`: DOC: reorder CI control guidance
+* :ghpull:`25200`: Don't handle unknown_symbols in ``\operatorname``.
+* :ghpull:`24849`: Stripey ``LineCollection``
+* :ghpull:`25177`: Add locator API links to tick-locators example
+* :ghpull:`25166`: Clean + comment MaxNLocator
+* :ghpull:`25157`: Small tweak in chapter sorting of the example gallery
+* :ghpull:`25099`: Add isort (import sorting) to pre-commit hooks
+* :ghpull:`25175`: BLD: Unbreak github tests workflow
+* :ghpull:`25125`: Use "array" instead of "numpy array" except when emphasis is needed.
+* :ghpull:`25144`: FIX: improve CL description and remove constrained_layout text
+* :ghpull:`25101`: Deprecate LocationEvent.lastevent.
+* :ghpull:`25152`: Group shape/dtype validation logic in image_resample.
+* :ghpull:`25145`: BLD: only doc CI build
+* :ghpull:`25153`: Delete redundant examples from user gallery that are also present in the annotations tutorial
+* :ghpull:`25156`: On macOS, limit symbols exported by extension modules linking FreeType.
+* :ghpull:`25150`: DOC: use 'none' in set_layout_engine
+* :ghpull:`25131`: FIX: Correctly report command keypress on mac for Tk + Gtk
+* :ghpull:`25112`: Connect stream lines if no varying width or color
+* :ghpull:`25142`: Minor style tweaks to freetype build.
+* :ghpull:`25143`: Don't special-case getSaveFileName in qt_compat anymore.
+* :ghpull:`24436`: Make LogLocator only return one tick out of range
+* :ghpull:`25135`: Whisker length, more precise description
+* :ghpull:`25100`: add section on annotating an artist using axes.annotate
+* :ghpull:`24486`: Minor cleanup and add test for offsetbox
+* :ghpull:`24964`: Minor cleanup and optimization of Sketch
+* :ghpull:`25121`: Inline ContourSet._make_paths.
+* :ghpull:`25120`: Consistently document shapes as (M, N), not MxN.
+* :ghpull:`24445`: Makefile html-noplot,clean: constrained layout tutorial image handling
+* :ghpull:`25115`: Remove tests.py runner from repo root
+* :ghpull:`24866`: write addfont example
+* :ghpull:`24638`: MNT: Remove auto-flattening of input data to pcolormesh
+* :ghpull:`24985`: Deprecate unused/undocumented functions in proj3d
+* :ghpull:`25104`: tk blitting to destroyed canvases should be a noop, not a segfault.
+* :ghpull:`25108`: Update flake8 per-file ignores
+* :ghpull:`25091`: Caching figures generated by plot directive
+* :ghpull:`25096`: Remove unused import of re introduced in #23442
+* :ghpull:`24749`: Support only positional args in contour. Error if no positional argument.
+* :ghpull:`23442`: Remove need to detect math mode in pgf strings
+* :ghpull:`25023`: Update Release guide to current practices
+* :ghpull:`24816`: [FIX]: Make inset axes transparent on savefig(..., transparent=True)
+* :ghpull:`24967`: Rewrite bullseye example to use bar() instead of pcolormesh().
+* :ghpull:`24994`: Use ``_axis_map`` instead of ``getattr`` in ``Axes`` and ``Figure``
+* :ghpull:`25087`: feat: add new SI prefixes to ticker
+* :ghpull:`25073`: MAINT: don't format logs in log call.
+* :ghpull:`25061`: Ensure TwoSlopeNorm always has two slopes
+* :ghpull:`25064`: Bump mamba-org/provision-with-micromamba from 14 to 15
+* :ghpull:`25046`: ci: Re-add the login shell to nightlies jobs
+* :ghpull:`24980`: Python 3.9 upgrade
+* :ghpull:`25035`: ci: Only attempt to upload nightlies from successful builds
+* :ghpull:`24995`: Improve 3D quiver test
+* :ghpull:`24992`: Bump NumPy to 1.21
+* :ghpull:`25007`: Minor refactoring of Axes3D
+* :ghpull:`25021`: Doc: sg section separator
+* :ghpull:`25028`: separate out folders in gallery ordering
+* :ghpull:`24981`: ENH: pad_inches='layout' for savefig
+* :ghpull:`25022`: DOC: tweak array indexing in constrained layout tutorial
+* :ghpull:`24990`: Make arguments other than ``renderer`` keyword-only for ``get_tightbbox``
+* :ghpull:`25013`: Clarify/shorten gca management in colorbar().
+* :ghpull:`25003`: Bump cygwin/cygwin-install-action from 2 to 3
+* :ghpull:`24978`: Simplify handling of out-of-bound values ``Colormap.__call__``.
+* :ghpull:`24998`: Unbreak Azure CI
+* :ghpull:`24907`: DOC/BUILD add ability for conf to skip whole sections
+* :ghpull:`22999`: CI: Add a Cygwin run to GHA CI.
+* :ghpull:`24919`: Remove support for python 3.8
+* :ghpull:`24942`: Expire module deprecations
+* :ghpull:`24943`: Remove special casing for PyPy not required anymore
+* :ghpull:`24929`: Small unrelated cleanups/style fixes.
+* :ghpull:`24923`: Cleanup cbook deprecations and layout
+* :ghpull:`24920`: Add --only-binary to nightly pip install
+* :ghpull:`24913`: Deprecate Bbox.anchored() with no container.
+* :ghpull:`24905`: Remove some long-obsolete commented code in grid_helper_curvelinear.
+
+Issues (185):
+
+* :ghissue:`26765`: [Bug]: Crash in Windows 10 if polar axis lim is lower than lowest data point.
+* :ghissue:`26674`: [Doc]: Line3DCollection segments
+* :ghissue:`26531`: [Bug]: ValueError thrown when ``levels`` is set to a lower value than ``vmin`` when using ``contours`` method of Axes
+* :ghissue:`26029`: [MNT]: Unify tex2uni
+* :ghissue:`26637`: [Doc]: Reduce references to set_tight_layout
+* :ghissue:`26639`: [Bug]: Incorrect type annotation for legend handes?
+* :ghissue:`26600`: [Doc]: contourf demo use of origin keyword
+* :ghissue:`26508`: [Doc]: Pyplot Axes – tuple or list?
+* :ghissue:`21524`: [Bug]: Removing an inset_axes that shares an axes does not remove it from the sharing group
+* :ghissue:`26604`: [Doc]: Inappropriate example in gallery
+* :ghissue:`26379`: [doc]: add 'validate' section to install docs
+* :ghissue:`19409`: Boxplot: Median line too long after changing linewidth
+* :ghissue:`26510`: [Bug]: mathtext silently ignores content after mismatched opening brace
+* :ghissue:`26501`: [Bug]: type-checking errors with mypy + matplotlib 3.8.0rc1
+* :ghissue:`16657`: Postscript backend gives wrong page sizes
+* :ghissue:`11771`: Change PdfPages to default to keep_empty=False and eventually deprecate keep_empty
+* :ghissue:`26438`: [ENH]: ``musllinux`` wheels for Alpine
+* :ghissue:`26446`: Disallow ``clip`` when ``vmin`` and ``vmax`` are not set in ``matplotlib.colors.Normalize``
+* :ghissue:`10002`: can't stop macosx mainloop
+* :ghissue:`7551`: automatic papersize selection by ps backend is almost certainly broken
+* :ghissue:`15913`: Switching to inline backend closes GUI windows
+* :ghissue:`26460`: [TST] Upcoming dependency test failures
+* :ghissue:`17566`: Updating an array passed as the xy parameter to annotate updates the anottation
+* :ghissue:`24723`: [Doc]: Delete examples made redundant by annotation tutorial rewrite (annotate_simple01, ...)
+* :ghissue:`26398`: [Bug]: fig.subplots_adjust and ax.set_yticklabels together can produce unexpected results
+* :ghissue:`10767`: ENH: Possibility to decide tick and label position in mplot3d
+* :ghissue:`9158`: Angled text not placed correctly with usetex in EPS
+* :ghissue:`26400`: [Doc]: advice to use QuadContourSet.collections
+* :ghissue:`26409`: [TST] Upcoming dependency test failures
+* :ghissue:`26351`: [Doc]: Bad rendering of the title of the MRI example
+* :ghissue:`26156`: [Doc]: navigating to the User Guide
+* :ghissue:`15785`: xlim_changed not emitted on shared axis
+* :ghissue:`26343`: [Bug]: ContourSet.antialiased attribute not present
+* :ghissue:`14247`: latex \substack doesn't work
+* :ghissue:`17190`: ipython autocomplete does not work for plt.figure()
+* :ghissue:`13164`: Figures in windows not tabs
+* :ghissue:`23212`: Support ``\middle``
+* :ghissue:`26082`: [MNT]: Make cyclers indexable and rely on indexing them rather than itertools.cycle
+* :ghissue:`16938`: keyword share_all in ImageGrid class
+* :ghissue:`26340`: [ENH]: ContourSet.set_paths
+* :ghissue:`26236`: [Bug]: ax.scatter (projection='3d') - incorrect handling of NaN
+* :ghissue:`22714`: [Bug]: parasite_axes does not properly handle units
+* :ghissue:`22338`: [Bug]: rcParams['legend.loc'] can't use float-tuple like kwarg legend(loc...)
+* :ghissue:`25942`: Make ``TexManager.texcache`` private
+* :ghissue:`26289`: [Bug]: mathtext caching issue in multi-threaded environment with tight_layout=True
+* :ghissue:`26272`: [Bug]: qt window blank after using save button
+* :ghissue:`26308`: [Bug]: labels can't be placed at start of contours
+* :ghissue:`2369`: Cleaning up kwargs in ContourSet
+* :ghissue:`14118`: imshow() should not modify axes aspect if transform != ax.transData.
+* :ghissue:`26081`: [ENH]: Add setters for _AxLine._xy1, ._xy2, ._slope
+* :ghissue:`25643`: [ENH]: Support for ``\boldsymbol``
+* :ghissue:`1366`: Support \boldsymbol. (Feature request.)
+* :ghissue:`26283`: [Bug]: set_ticks provides mysterious error message
+* :ghissue:`25162`: [Bug]: pcolormesh properties and getter shapes changed w/o notice
+* :ghissue:`26261`: [Doc]: Double entries in navigation menu of Using Matplotlib
+* :ghissue:`4334`: Axes3D: factor out 3D coordinate guessing from format_coord()
+* :ghissue:`22775`: [Bug]: 3d mouse coords values reported in toolbar are meaningless
+* :ghissue:`25770`: [ENH]: support RGB(A) in pcolor
+* :ghissue:`26031`: [MNT]: decrease timeout on interactive tests locally
+* :ghissue:`26264`: [Doc]: Incorrectly drawn bounding box
+* :ghissue:`26206`: [Doc]: follow on to #25247
+* :ghissue:`26225`: [Bug]: MultiCursor in inset axes
+* :ghissue:`22277`: [Doc]: Exchange step() for stairs() in the Plot types - Basic section
+* :ghissue:`25493`: [Doc]: users/explain bare index looks bad
+* :ghissue:`25114`: [Bug]: matplotlib.path.Path.to_polygons fails with TriContourSet paths
+* :ghissue:`26194`: [Bug]: dataLims get replaced by inf for charts with twinx if ax1 is a stackplot
+* :ghissue:`6139`: 'QuadContourSet' object has no attribute 'set_visible' or 'set_animated'
+* :ghissue:`25128`: [MNT]: Turn ContourSet into a (nearly) plain Collection
+* :ghissue:`26100`: [Bug]: Axis multiplier when using plot_surface appears outside of the figure window
+* :ghissue:`15518`: Collections could check x- and y- transforms separately to decide whether to autoscale each direction
+* :ghissue:`26182`: [TST] Upcoming dependency test failures
+* :ghissue:`25857`: [Doc]: gitwash deleting main branch
+* :ghissue:`15054`: Improve tests by removing text or using figure comparisons
+* :ghissue:`8794`: animation.save problems with ffmpeg
+* :ghissue:`26140`: [Doc]: Sort greek/hebrew letters in math docs alphabetically
+* :ghissue:`25042`: [Bug]: ``\geqslant``, ``\leqslant`` and ``\eqslantgtr`` are not spaced like their non-slanted versions
+* :ghissue:`25014`: [ENH]: Add public method to update ``Legend`` object's loc property .
+* :ghissue:`26124`: [Bug]: NavigationToolbar2 mouse over event causes toolbar height increase and axes reposition
+* :ghissue:`24663`: [ENH]: Set color of legend shadow
+* :ghissue:`7199`: Old whatsnews should be rendered using classic style
+* :ghissue:`12926`: Inconsistent behavior of hexbins mincnt parameter, depending on C parameter
+* :ghissue:`25030`: [BUG]: Button widgets don't work in inset axes
+* :ghissue:`10009`: document event handling with twined axes
+* :ghissue:`25477`: Plot ellipse with arrow showing rotation
+* :ghissue:`26083`: [Bug]: Star marker (using mathtext) is not center-aligned
+* :ghissue:`26015`: [ENH]: Missing mathematical operations
+* :ghissue:`8802`: Masked pcolormesh is not tested correctly
+* :ghissue:`25244`: [Bug]: DeprecationWarning for pkg_resources.declare_namespace usage in mpl_toolkit
+* :ghissue:`25344`: pydata-sphinx-theme 0.13 causes doc builds to fail
+* :ghissue:`25590`: [Doc]: type annotations rendering
+* :ghissue:`25941`: [Doc]: Rewrite rainbow_text example to use annotate()
+* :ghissue:`25497`: [ENH]: hi-res plot directive...
+* :ghissue:`25675`: [ENH]: Add get/set_antialiased to Text objects
+* :ghissue:`17069`: Error creating AxisGrid with non-default axis class
+* :ghissue:`8965`: Add alias for colormaps for grey vs gray English issues
+* :ghissue:`25945`: [Bug]: (edge case) no ticks are drawn in colorbars with SymLogNorm
+* :ghissue:`25907`: [ENH]: Add test for annotate(textcoods="offset fontsize")
+* :ghissue:`25654`: [Bug]: bar/barh don't trigger datetime units
+* :ghissue:`19120`: Raise when both singular and plural scatter attributes are specified
+* :ghissue:`14233`: Feature Request: Allow setting default AutoMinorLocator
+* :ghissue:`25900`: [Doc]: I think you missed a ``fig`` here.
+* :ghissue:`18425`: Add fontfamily/labelfont to tick_params
+* :ghissue:`25864`: [MNT]: add tests for nargs_error
+* :ghissue:`23595`: [Bug]: ``CbarAxesBase.toggle_label`` doesn't seem to work properly
+* :ghissue:`25835`: [MNT]: Do not accept arbitrary positional parameters in Figure.add_axes()
+* :ghissue:`25833`: [MNT]: Privatize Tick.set_label1() / Tick.set_label2()
+* :ghissue:`11181`: [feature request] multiple 3d plots with tied viewing angles
+* :ghissue:`25724`: [MNT]: Switch docs/examples to use Noto Sans CJK instead of WenQuanYi Zen Hei as CJK font
+* :ghissue:`24779`: [Doc]: windows install instructions do not work
+* :ghissue:`24701`: VS Code: Autocomplete and Syntax Highlighting do not work for matplotlib
+* :ghissue:`25682`: [Bug]: fill_between{x} does not respect Axes transform
+* :ghissue:`23061`: [Bug]: macosx timers don't fire if plt.show() hasn't been called
+* :ghissue:`19769`: Memory leak when plotting multiple figures with the macOS backend
+* :ghissue:`24331`: [Doc]: Lazy loading for images
+* :ghissue:`24689`: [Bug]: Axes3D.set_frame_on not working as documented
+* :ghissue:`5087`: Confusing (broken?) colormap name handling
+* :ghissue:`22331`: [Bug]: First and or last minor ticks sometimes not plotted
+* :ghissue:`19393`: \bf\it in mathtext
+* :ghissue:`23171`: [Bug]: axes vlines() / hlines() incorrectly use data coordinate as min when blended transform is applied
+* :ghissue:`5234`: Unicode with usetex=True and pgf backend
+* :ghissue:`25677`: [Doc]: Axes.hlines and Axes.vlines (and probably others) can accept a single color as well as a list of colors.
+* :ghissue:`25649`: [Doc]: backport strategy: inconsistency in guide
+* :ghissue:`25582`: [Doc]: Commented Out Code in Downloadable Examples for Toolkits Tutorials
+* :ghissue:`25695`: [Bug]: codecov.yml is invalid
+* :ghissue:`23810`: [Bug]: Text objects don't take Mathtext into account while wrapping.
+* :ghissue:`7560`: Edge cases in eventplot are likely broken
+* :ghissue:`25613`: [Doc]: better document default margins
+* :ghissue:`25638`: [MNT]: numdecs parameter in ``LogLocator``
+* :ghissue:`11375`: PGF output: Contour labels extend beyond figure boundary
+* :ghissue:`25608`: [Bug]: ``bbox_inches="tight"`` does not work for writer.grab_frame()
+* :ghissue:`25599`: [MNT]: The new default x and ymargin setting is too wasteful
+* :ghissue:`25410`: [Bug]: Small Scatter Plot Marker Size Results in Circles
+* :ghissue:`25053`: [Doc]: How to show an ASCII hyphen in math text without using TeX?
+* :ghissue:`18520`: Matplotlib cannot parse TeX with \text command
+* :ghissue:`25560`: [Bug]: legend for Poly3dCollection fails
+* :ghissue:`20504`: Support type checking with mypy
+* :ghissue:`7160`: pgf_pdflatex test fails on Windows
+* :ghissue:`14527`: Log scale messed up in histograms when sharing axes
+* :ghissue:`25521`: [Doc]: ``TABLEAU_COLORS`` ``XKCD_COLORS`` etc undocumented
+* :ghissue:`5424`: Update colorbar after changing mappable.norm
+* :ghissue:`22211`: [Bug]: scroll_event is broken after motion_notify_event in WXAgg
+* :ghissue:`24092`: [Bug]: LogLocator with subs argument fragile.
+* :ghissue:`23626`: [Bug]: unintended space between comma and digit when using useMathText = True together with comma as decimal separator
+* :ghissue:`23154`: [MNT]: requirements/testing/minver.txt could also test oldest-supported pytest version
+* :ghissue:`5675`: plt.pause() with threading is extremely slow for MacOSX backend
+* :ghissue:`6630`: handling of zeros in log-scale changes irreversibly after user zoom
+* :ghissue:`6324`: artist.contains should check that the event occurred in the same figure
+* :ghissue:`16561`: Feature request: proper ECDF
+* :ghissue:`25426`: [ENH]: Update grid_helper on FloatingSubplot
+* :ghissue:`22663`: [Doc]: Consoldiate scatter symbol examples
+* :ghissue:`24681`: [ENH]: set facecolor and edgecolor alpha separately
+* :ghissue:`5336`: RendererAgg.tostring_rgb merely truncates alpha
+* :ghissue:`22494`: [ENH]: Add ``get_shape`` as alias for ``get_size`` in AxesImage, or make that include depth too
+* :ghissue:`5327`: Make ``mpl_toolkits`` a non-namespace package
+* :ghissue:`9823`: Missing __init__.py file in mpl_toolkits
+* :ghissue:`24605`: [Bug]: Validation not performed for ``loc`` argument to ``legend``
+* :ghissue:`25445`: [Doc]: Not possible to see upcoming what's new etc?
+* :ghissue:`24450`: [MNT]: Fix or drop support for Tk 8.4
+* :ghissue:`25453`: [ENH]: Let norm argument accept string values in tripcolour
+* :ghissue:`25401`: [Bug]: savefig + jpg + metadata fails with inscrutable error message
+* :ghissue:`1735`: ``_path.get_path_collection_extents`` potentially wrong return value
+* :ghissue:`25431`: [TST] Upcoming dependency test failures
+* :ghissue:`25199`: [Bug]: AttributeError: 'LassoSelector' object has no attribute '_props'
+* :ghissue:`25080`: Add note in contrib guide admonishing against use of f strings in logs
+* :ghissue:`25165`: [Bug]: offsetText is colored based on tick.color instead of tick.labelcolor
+* :ghissue:`25329`: [Bug]: Unable to pickle figure with aligned labels
+* :ghissue:`14124`: plt.contour with all NaNs fails assertion in _contour.cpp
+* :ghissue:`22674`: [Bug]: savefig(..., transparent=True) does not make inset_axes transparent
+* :ghissue:`25303`: CI: isort should check plot_types?
+* :ghissue:`25137`: [Bug]: stop responding in demo program "matplotlib/examples/event_handling/lasso_demo.py"
+* :ghissue:`24910`: [Bug]: Suptitle not visible with subfigures
+* :ghissue:`25222`: [ENH]: add organizational charts to supported plots
+* :ghissue:`24796`: [Bug]: gapcolor not supported for LineCollections
+* :ghissue:`25172`: [Doc]: cross link locator example with locator API
+* :ghissue:`24419`: [Doc]: add from file to font family example
+* :ghissue:`23809`: [Bug]: blitting after closing second tkinter embed causes silent crash
+* :ghissue:`16580`: Segmentation fault when blitting onto closed figure (TkAgg)
+* :ghissue:`24743`: [Bug]: contour raises IndexError if Z is specified as keyword argument
+* :ghissue:`24283`: [Bug]: colorbar interacts poorly with TwoSlopeNorm when one slope is infinite
+* :ghissue:`24906`: [DOC/BUILD] add ability to selectively build docs
+* :ghissue:`24901`: [TST] Upcoming dependency test failures
+* :ghissue:`17991`: type stubs for matplotlib
+* :ghissue:`17583`: Linter complains about unexpected data-type, however, docs say this is possible
+* :ghissue:`15926`: Support for Python Type Hints (PEP 484)
+* :ghissue:`13798`: Add PEP484 type hints to the code (For IDE autocompletion / hints)
+
diff --git a/doc/users/prev_whats_new/github_stats_3.8.1.rst b/doc/users/prev_whats_new/github_stats_3.8.1.rst
new file mode 100644
index 000000000000..86de0e3b70a9
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.8.1.rst
@@ -0,0 +1,168 @@
+.. _github-stats-3-8-1:
+
+GitHub statistics for 3.8.1 (Oct 31, 2023)
+==========================================
+
+GitHub statistics for 2023/09/15 (tag: v3.8.0) - 2023/10/31
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 24 issues and merged 95 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/85?closed=1>`__
+
+The following 27 authors contributed 165 commits.
+
+* 0taj
+* Antony Lee
+* Anvi Verma
+* Artyom Romanov
+* Augusto Borges
+* Chiraag Balu
+* David Stansby
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Eric Firing
+* Gaurav-Kumar-Soni
+* Greg Lucas
+* Gurudatta Shanbhag
+* hannah
+* Hugues Hoppe
+* Jody Klymak
+* Joshua Stevenson
+* Junpei Ota
+* katotaisei
+* Kyle Sunden
+* Lucia Korpas
+* Matthew Morrison
+* Oscar Gustafsson
+* Ruth Comer
+* Thomas A Caswell
+* Tim Hoffmann
+* wemi3
+
+GitHub issues and pull requests:
+
+Pull Requests (95):
+
+* :ghpull:`27239`: Backport PR #27237 on branch v3.8.x (DOC: Add command to install appropriate ``requirements.txt`` during dev venv setup)
+* :ghpull:`27238`: Backport PR #27165 on branch v3.8.x (Fixing Matplotlib Notebook Text)
+* :ghpull:`27165`: Fixing Matplotlib Notebook Text
+* :ghpull:`27229`: Backport PR #27226 on branch v3.8.x (DOC: link out to troubleshooting guide in install)
+* :ghpull:`27226`: DOC: link out to troubleshooting guide in install
+* :ghpull:`27227`: Backport PR #27221 on branch v3.8.x (FIX: Enable interrupts on macosx event loops)
+* :ghpull:`27221`: FIX: Enable interrupts on macosx event loops
+* :ghpull:`27220`: Backport PR #27217 on branch v3.8.x: Fix type hints for undeprecated contour APIs
+* :ghpull:`27217`: Fix type hints for undeprecated contour APIs
+* :ghpull:`27212`: Backport PR #27088 on branch v3.8.x (Update ``find_nearest_contour`` and revert contour deprecations)
+* :ghpull:`27207`: Backport PR #26970 on branch v3.8.x (FIX: Add PyOS_InputHook back to macos backend)
+* :ghpull:`27088`: Update ``find_nearest_contour`` and revert contour deprecations
+* :ghpull:`27206`: Backport PR #27205 on branch v3.8.x (Improve legend picking example)
+* :ghpull:`26970`: FIX: Add PyOS_InputHook back to macos backend
+* :ghpull:`27205`: Improve legend picking example
+* :ghpull:`27202`: Backport PR #27178 on branch v3.8.x (Try/except import of Axes3D)
+* :ghpull:`27178`: Try/except import of Axes3D
+* :ghpull:`27201`: Backport PR #27179 on branch v3.8.x (Restore default behavior of hexbin mincnt with C provided)
+* :ghpull:`27197`: Backport PR #27045 on branch v3.8.x (Ensure valid path mangling for ContourLabeler)
+* :ghpull:`27179`: Restore default behavior of hexbin mincnt with C provided
+* :ghpull:`27045`: Ensure valid path mangling for ContourLabeler
+* :ghpull:`27191`: Backport PR #27189 on branch v3.8.x (Fix typo in docstring of ``matplotlib.colors.from_levels_and_colors``)
+* :ghpull:`27189`: Fix typo in docstring of ``matplotlib.colors.from_levels_and_colors``
+* :ghpull:`27154`: Backport PR #27153 on branch v3.8.x (Link xkcd color survey in named colors example)
+* :ghpull:`27133`: Backport PR #27132 on branch v3.8.x (changed automated tests from subsection to section in workflow)
+* :ghpull:`27131`: Backport PR #27118 on branch v3.8.x (Update developer release guide to follow conventions)
+* :ghpull:`27118`: Update developer release guide to follow conventions
+* :ghpull:`27122`: Backport PR #26930 on branch v3.8.x (Added documentation on getting full list of registered colormaps re: issue #26244)
+* :ghpull:`26930`: Added documentation on getting full list of registered colormaps re: issue #26244
+* :ghpull:`27113`: Backport PR #27039 on branch v3.8.x (Formatted docs)
+* :ghpull:`27039`: Formatted release note docs
+* :ghpull:`27101`: Backport PR #27096 on branch v3.8.x (make fonts.py, mathtext.py, text_intro.py confirm to docs guidelines)
+* :ghpull:`27097`: Backport PR #27093 on branch v3.8.x ([Doc]: Move Automated Tests section to workflow docs #26998)
+* :ghpull:`27065`: Backport PR #26943 on branch v3.8.x (ci: Run mypy against typed cycler)
+* :ghpull:`26943`: ci: Run mypy against typed cycler
+* :ghpull:`27060`: Backport PR #27059: ci: Clean up Python 3.12 builds
+* :ghpull:`27057`: Backport PR #27040 on branch v3.8.x (Bump pypa/cibuildwheel from 2.16.1 to 2.16.2)
+* :ghpull:`27059`: ci: Clean up Python 3.12 builds
+* :ghpull:`27055`: Backport PR #27054 on branch v3.8.x (updated interactive.rst)
+* :ghpull:`27052`: Backport PR #27036 on branch v3.8.x (updated artist_intro.rst)
+* :ghpull:`27051`: Backport PR #26995 on branch v3.8.x (user/project/citing updated)
+* :ghpull:`27046`: Backport PR #27043 on branch v3.8.x (updated api_interfaces.rst)
+* :ghpull:`27040`: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
+* :ghpull:`27041`: Backport PR #26908 on branch v3.8.x (``allsegs`` and ``allkinds`` return individual segments)
+* :ghpull:`26908`: ``allsegs`` and ``allkinds`` return individual segments
+* :ghpull:`27034`: Backport PR #27017 on branch v3.8.x (DOC: clarify usetex versus mathtext)
+* :ghpull:`27017`: DOC: clarify usetex versus mathtext
+* :ghpull:`27031`: Backport PR #27015 on branch v3.8.x (ValueError exception added to handle mix of {} and % string in colorbar format)
+* :ghpull:`27015`: ValueError exception added to handle mix of {} and % string in colorbar format
+* :ghpull:`27022`: BLD: Remove development dependencies from sdists
+* :ghpull:`27023`: Backport PR #26883 on branch v3.8.x ([TYP] Type changes from running against Pandas)
+* :ghpull:`26883`: [TYP] Type changes from running against Pandas
+* :ghpull:`27018`: Backport PR #26961 on branch v3.8.x (DOC: made "open PR on MPL" a section in contribute guide)
+* :ghpull:`27009`: Backport PR #27006 on branch v3.8.x (DOC: Fix resizing of animation examples)
+* :ghpull:`26999`: Backport PR #26940 on branch v3.8.x (Add typing to pyplot.show() to avoid errors with mypy --strict.)
+* :ghpull:`27000`: Backport PR #26605 on branch v3.8.x (ci: Install GTK4 from brew on macOS)
+* :ghpull:`26982`: Backport PR #26976 on branch v3.8.x (Bump pypa/cibuildwheel from 2.16.0 to 2.16.1)
+* :ghpull:`26940`: Add typing to pyplot.show() to avoid errors with mypy --strict.
+* :ghpull:`26997`: Backport PR #26850 on branch v3.8.x (DOC: Fix missing-reference generation on Windows)
+* :ghpull:`26860`: Backport PR #26849 on branch v3.8.x (Bump setuptools required version because of setuptools_scm v8)
+* :ghpull:`26850`: DOC: Fix missing-reference generation on Windows
+* :ghpull:`26987`: Backport PR #26985 on branch v3.8.x (Reformatted documentation under toolkits and tutorials directory )
+* :ghpull:`26979`: Backport PR #26959 on branch v3.8.x (Move papersize="auto" deprecation to backend_bases.)
+* :ghpull:`26976`: Bump pypa/cibuildwheel from 2.16.0 to 2.16.1
+* :ghpull:`26959`: Move papersize="auto" deprecation to backend_bases.
+* :ghpull:`26939`: Backport PR #26937 on branch v3.8.x (Add ArrayLike to scatter c arg type hint)
+* :ghpull:`26964`: Backport PR #26952 on branch v3.8.x (FIX 2-tuple of colors in to_rgba_array)
+* :ghpull:`26956`: Backport PR #26955 on branch v3.8.x (Fix incorrect skip check in test_backend_ps.)
+* :ghpull:`26952`: FIX 2-tuple of colors in to_rgba_array
+* :ghpull:`26955`: Fix incorrect skip check in test_backend_ps.
+* :ghpull:`26945`: Backport PR #26927 on branch v3.8.x ([TYP] Remove some stubtest allowlist entries)
+* :ghpull:`26927`: [TYP] Remove some stubtest allowlist entries
+* :ghpull:`26937`: Add ArrayLike to scatter c arg type hint
+* :ghpull:`26933`: Backport PR #26914 on branch v3.8.x (DOC: add a couple more placement examples, crosslink axes_grid [ci doc])
+* :ghpull:`26849`: Bump setuptools required version because of setuptools_scm v8
+* :ghpull:`26844`: Backport PR #26843 on branch v3.8.x (DOC: Use ax.xaxis rather ax.get_xaxis())
+* :ghpull:`26836`: Backport PR #26834 on branch v3.8.x (Fix Issue 26821: [Bug]: ValueError: The truth value... when an ndarray is passed to the color kwarg of axes3d.scatter)
+* :ghpull:`26834`: Fix Issue 26821: [Bug]: ValueError: The truth value... when an ndarray is passed to the color kwarg of axes3d.scatter
+* :ghpull:`26835`: Backport PR #26814 on branch v3.8.x (Bump pypa/cibuildwheel from 2.15.0 to 2.16.0)
+* :ghpull:`26828`: Backport PR #26825 on branch v3.8.x (Fix issue with non-string labels and legend)
+* :ghpull:`26825`: Fix issue with non-string labels and legend
+* :ghpull:`26814`: Bump pypa/cibuildwheel from 2.15.0 to 2.16.0
+* :ghpull:`26816`: Backport PR #26799 on branch v3.8.x (Update kiwisolver and pillow versions to be consistent with requirements)
+* :ghpull:`26820`: Backport PR #26811 on branch v3.8.x (Add overload for slice to Spines.__getitem__)
+* :ghpull:`26811`: Add overload for slice to Spines.__getitem__
+* :ghpull:`26799`: Update kiwisolver and pillow versions to be consistent with requirements
+* :ghpull:`26809`: Backport PR #26804 on branch v3.8.x (Fix issue with locale comma when not using math text)
+* :ghpull:`26789`: Backport changes to contribute from PR #26737
+* :ghpull:`26810`: Backport PR #26807 on branch v3.8.x (Catch ValueError to support pytorch (and others) plotting)
+* :ghpull:`26807`: Catch ValueError to support pytorch (and others) plotting
+* :ghpull:`26804`: Fix issue with locale comma when not using math text
+* :ghpull:`26781`: Backport PR #26780 on branch v3.8.x (fix Axes.errorbar docstring)
+* :ghpull:`26780`: fix Axes.errorbar docstring
+* :ghpull:`26699`: Improve naming of cibuildwheel jobs
+* :ghpull:`26605`: ci: Install GTK4 from brew on macOS
+
+Issues (24):
+
+* :ghissue:`27120`: [Bug]: macosx backend pause() cannot be ctrl-c'd
+* :ghissue:`27070`: [Bug]: find_nearest_contour deprecated with no replacement?
+* :ghissue:`26913`: Should ``ContourSet.allsegs`` and ``.allkinds`` be deprecated?
+* :ghissue:`26869`: [Bug]: Plot window not shown in Mac OS with backend set to default MacOSX
+* :ghissue:`16865`: Hexbin mincnt parameter docstring should say "more than or equal to" not "more than"
+* :ghissue:`27103`: [Bug]: hexbin cannot always accept np.max like functions as reduce_C_function
+* :ghissue:`27062`: [Bug]: ContourLabeler.clabel with manual != False breaks unconnected contours
+* :ghissue:`26971`: [Bug]: plt.clabel raises exception at very low DPI: ``ValueError: 'codes' must be a 1D list or array with the same length of 'vertices'. Your vertices have shape (2, 2) but your codes have shape (1,)``
+* :ghissue:`27188`: Small error in docstring of matplotlib.colors.from_levels_and_colors
+* :ghissue:`27126`: [Bug]: LinearSegmentedColormap.from_list cannot process list with two colors
+* :ghissue:`26244`: [Doc]: document how to get list of registered colormaps
+* :ghissue:`26863`: [Doc]: ``ContourSet`` ``allsegs`` and ``allkinds`` after #25247
+* :ghissue:`26932`: [Bug]: Poetry installs setuptools-scm and setuptools
+* :ghissue:`27007`: [Bug]: Colorbar format string kind guess could be made more robust
+* :ghissue:`26919`: [Bug]: Missing file pyplot.pyi for mypy typing
+* :ghissue:`26949`: [Bug]: colors.LinearSegmentedColormap.from_list does not take two tuples in 3.8.0
+* :ghissue:`26936`: [Bug/TYPE]: Scatter ``c`` Typehint does not support list of numbers when using ``cmap``
+* :ghissue:`26846`: [MNT]: setuptools-scm v8.0.1 compatibility
+* :ghissue:`26821`: [Bug]: ``ValueError: The truth value...`` when an ndarray is passed to the ``color`` kwarg of ``axes3d.scatter``
+* :ghissue:`26822`: [Bug]: QuadMesh.get_array change breaks seaborn heatmap annotation
+* :ghissue:`26824`: [Bug]: Legend fails for bar plot with numeric label
+* :ghissue:`26808`: [Bug]: No overload variant of "__getitem__" of "Spines" matches argument type "slice"  [call-overload]
+* :ghissue:`26806`: [Bug]: ValueError when plotting 2D pytorch tensor using matplotlib==3.8.0
+* :ghissue:`26803`: [Bug]: use_locale leads to curly brackets around decimal separator
diff --git a/doc/users/prev_whats_new/github_stats_3.8.2.rst b/doc/users/prev_whats_new/github_stats_3.8.2.rst
new file mode 100644
index 000000000000..0e5852be394b
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.8.2.rst
@@ -0,0 +1,62 @@
+.. _github-stats-3-8-2:
+
+GitHub statistics for 3.8.2 (Nov 17, 2023)
+==========================================
+
+GitHub statistics for 2023/10/31 (tag: v3.8.1) - 2023/11/17
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 3 issues and merged 27 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/86?closed=1>`__
+
+The following 10 authors contributed 39 commits.
+
+* Antony Lee
+* dohyun
+* Elliott Sales de Andrade
+* hannah
+* Jody Klymak
+* Kyle Sunden
+* Oscar Gustafsson
+* Ruth Comer
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (27):
+
+* :ghpull:`27339`: Backport PR #27299 on branch v3.8.x ([MNT] swap xkcd script for humor sans)
+* :ghpull:`27338`: Backport PR #27334 on branch v3.8.x (Omit MOVETO lines from nearest contour logic)
+* :ghpull:`27299`: [MNT] swap xkcd script for humor sans
+* :ghpull:`27334`: Omit MOVETO lines from nearest contour logic
+* :ghpull:`27324`: Backport PR #27323 on branch v3.8.x ([DOC] Minor fixes for savefig-docstring)
+* :ghpull:`27323`: [DOC] Minor fixes for savefig-docstring
+* :ghpull:`27314`: Backport PR #27312 on branch v3.8.x (Doc: Step redirect)
+* :ghpull:`27294`: Backport PR #27291 on branch v3.8.x (Expand 3D import to handle any exception not just ImportError)
+* :ghpull:`27291`: Expand 3D import to handle any exception not just ImportError
+* :ghpull:`27293`: Backport PR #27290 on branch v3.8.x (Ensure GIL while releasing buffer)
+* :ghpull:`27283`: Backport PR #27280 on branch v3.8.x (DOC: added rest of licenses to license page)
+* :ghpull:`27280`: DOC: added rest of licenses to license page
+* :ghpull:`27278`: Backport PR #27276 on branch v3.8.x (Clarify behavior of ``prune`` parameter to MaxNLocator.)
+* :ghpull:`27276`: Clarify behavior of ``prune`` parameter to MaxNLocator.
+* :ghpull:`27272`: Backport PR #27271 on branch v3.8.x (DOC: minor fixes to dev workflow)
+* :ghpull:`27269`: Backport PR #27268 on branch v3.8.x (Copy-edit various examples.)
+* :ghpull:`27263`: Backport PR #27213 on branch v3.8.x (DOC: consolidated coding guide and added naming conventions table)
+* :ghpull:`27258`: Backport PR #27249 on branch v3.8.x (DOC: reasoning for communications guidelines)
+* :ghpull:`27255`: Backport PR #27253 on branch v3.8.x (Copy-edit the standalone colorbar tutorial)
+* :ghpull:`27253`: Copy-edit the standalone colorbar tutorial
+* :ghpull:`27252`: Backport PR #26669 on branch v3.8.x ([DOC] debug backends)
+* :ghpull:`26669`: [DOC] debug backends
+* :ghpull:`27250`: Backport PR #27219 on branch v3.8.x (Updated axes_box_aspect.py and angle_annotation.py to regularize formatting)
+* :ghpull:`27219`: Updated axes_box_aspect.py and angle_annotation.py to regularize formatting
+* :ghpull:`27247`: Backport PR #26703 on branch v3.8.x (moved communications guidelines from governance, updated and clarified process )
+* :ghpull:`27246`: Backport PR #27244 on branch v3.8.x (Clarify semantics of plt.matshow(..., fignum=...).)
+* :ghpull:`27244`: Clarify semantics of plt.matshow(..., fignum=...).
+
+Issues (3):
+
+* :ghissue:`27333`: [Bug]: Spurious lines added with some manually add contour labels
+* :ghissue:`27274`: [Bug]: prune parameter of MaxNLocator has no effect
+* :ghissue:`27262`: [Bug]: Segmentation fault when resizing on Python 3.12 and MacOS 14
diff --git a/doc/users/prev_whats_new/github_stats_3.8.3.rst b/doc/users/prev_whats_new/github_stats_3.8.3.rst
new file mode 100644
index 000000000000..c91e046fd6ae
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.8.3.rst
@@ -0,0 +1,139 @@
+.. _github-stats-3-8-3:
+
+GitHub statistics for 3.8.3 (Feb 14, 2024)
+==========================================
+
+GitHub statistics for 2023/11/17 (tag: v3.8.2) - 2024/02/14
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 18 issues and merged 74 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/88?closed=1>`__
+
+The following 25 authors contributed 133 commits.
+
+* Allan Haldane
+* Antony Lee
+* Christoph Hasse
+* David Stansby
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Greg Lucas
+* hannah
+* James Salsman
+* Jody Klymak
+* Joshua Stevenson
+* judfs
+* Kyle Sunden
+* Matthew Morrison
+* Oscar Gustafsson
+* Ruth Comer
+* Samuel Diebolt
+* saranti
+* sdiebolt
+* Shriya Kalakata
+* Stefan
+* Steffen Rehberg
+* stevezhang1999
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (74):
+
+* :ghpull:`27790`: Backport PR #27785 on branch v3.8.x (FIX: be careful about communicating with subprocess)
+* :ghpull:`27789`: Backport PR #27756 on branch v3.8.x (Add protections against infinite loop in bezier calculations)
+* :ghpull:`27785`: FIX: be careful about communicating with subprocess
+* :ghpull:`27756`: Add protections against infinite loop in bezier calculations
+* :ghpull:`27779`: Manual backport of dependabot cibw upgrades
+* :ghpull:`27778`: Backport PR #27773 on branch v3.8.x (MNT: pcolormesh robust underflow)
+* :ghpull:`27773`: MNT: pcolormesh robust underflow
+* :ghpull:`27777`: Backport PR #27776 on branch v3.8.x (Better document the relation between figure and manager)
+* :ghpull:`27776`: Better document the relation between figure and manager
+* :ghpull:`27759`: Backport PR #27755 on branch v3.8.x (Allow threads during macos event loop)
+* :ghpull:`27755`: Allow threads during macos event loop
+* :ghpull:`27742`: Backport PR #27708 on branch v3.8.x (DOC: update colors from colormaps example)
+* :ghpull:`27718`: Backport PR #27716 on branch v3.8.x (fix default image format in gtk4 savefig dialog)
+* :ghpull:`27716`: fix default image format in gtk4 savefig dialog
+* :ghpull:`27697`: Backport PR #27044 on branch v3.8.x (Fix quiver key plot when angles='xy' and/or scale_units='xy')
+* :ghpull:`27044`: Fix quiver key plot when angles='xy' and/or scale_units='xy'
+* :ghpull:`27691`: Backport PR #27681 on branch v3.8.x (doc: fix Patch.contains_point docstring example)
+* :ghpull:`27681`: doc: fix Patch.contains_point docstring example
+* :ghpull:`27683`: Backport PR #27670 on branch v3.8.x (Implement macos AppDelegate)
+* :ghpull:`27670`: Implement macos AppDelegate
+* :ghpull:`27680`: Backport PR #27678 on branch v3.8.x (DOC: selecting individual colors from a colormap)
+* :ghpull:`27664`: Backport PR #27581: CI: install German language packs on ubuntu test …
+* :ghpull:`27661`: Backport of pr 27647 on v3.8.x
+* :ghpull:`27662`: Backport PR #27657 on branch v3.8.x (Fix Numpy 2.0 related test failures)
+* :ghpull:`27657`: Fix Numpy 2.0 related test failures
+* :ghpull:`27647`: Fix error that occurs when minorticks are on multi-Axes Figure with more than one boxplot
+* :ghpull:`27660`: Backport PR #27624 on branch v3.8.x (Prepare for Pytest v8)
+* :ghpull:`27624`: Prepare for Pytest v8
+* :ghpull:`27636`: Backport PR #27634 on branch v3.8.x (circle: Make deploy stage into a normal step)
+* :ghpull:`27622`: Backport PR #27620 on branch v3.8.x (DOC: simplify histogram animation example)
+* :ghpull:`27612`: Backport PR #27606 on branch v3.8.x (Pin black version)
+* :ghpull:`27606`: Pin black version
+* :ghpull:`27598`: Backport PR #27594 on branch v3.8.x (Cleanup viewlims example.)
+* :ghpull:`27597`: Backport PR #27595 on branch v3.8.x (Fix is_sorted_and_has_non_nan for byteswapped inputs.)
+* :ghpull:`27595`: Fix is_sorted_and_has_non_nan for byteswapped inputs.
+* :ghpull:`27586`: Backport PR #27578 on branch v3.8.x (Fix polar labels with negative theta limit)
+* :ghpull:`27578`: Fix polar labels with negative theta limit
+* :ghpull:`27581`: CI: install German language packs on ubuntu test runners
+* :ghpull:`27544`: Backport PR #27527 on branch v3.8.x (FIX: Add macos timers to the main thread)
+* :ghpull:`27527`: FIX: Add macos timers to the main thread
+* :ghpull:`27537`: Backport PR #27535 on branch v3.8.x (Update ax.legend input types)
+* :ghpull:`27535`: Update ax.legend input types
+* :ghpull:`27536`: Backport PR #27534 on branch v3.8.x (Clarify AxLine Params)
+* :ghpull:`27534`: Clarify AxLine Params
+* :ghpull:`27530`: Backport PR #27528 on branch v3.8.x (FIX: Remove runloop execution while waiting for stdin)
+* :ghpull:`27528`: FIX: Remove runloop execution while waiting for stdin
+* :ghpull:`27510`: Backport PR #27346 on branch v3.8.x (DOC: Show and correct default alignment parameters in text.py)
+* :ghpull:`27346`: DOC: Show and correct default alignment parameters in text.py
+* :ghpull:`27506`: Backport PR #27504 on branch v3.8.x (DOC: correct return type for axline)
+* :ghpull:`27504`: DOC: correct return type for axline
+* :ghpull:`27501`: Backport PR #27496 on branch v3.8.x (Bump actions/setup-python from 4 to 5)
+* :ghpull:`27496`: Bump actions/setup-python from 4 to 5
+* :ghpull:`27484`: Backport PR #27481 on branch v3.8.x (Fixing Pylab documentation in API interface overview)
+* :ghpull:`27481`: Fixing Pylab documentation in API interface overview
+* :ghpull:`27467`: Manual backport of #27395 on v3.8.x
+* :ghpull:`27464`: Backport PR #27316 on branch v3.8.x (DOC: Synchronize LICENSE_STIX files)
+* :ghpull:`27316`: DOC: Synchronize LICENSE_STIX files
+* :ghpull:`27453`: Backport PR #27434 on branch v3.8.x (FIX: Expand stairs plot-type entry intro (reattempt))
+* :ghpull:`27446`: Backport PR #27397 on branch v3.8.x (SpanSelector widget: Improve doc for ``extents``)
+* :ghpull:`27397`: SpanSelector widget: Improve doc for ``extents``
+* :ghpull:`27444`: Backport PR #27441 on branch v3.8.x (Fix some minor issues with hexbin bins argument)
+* :ghpull:`27441`: Fix some minor issues with hexbin bins argument
+* :ghpull:`27429`: Backport PR #27411 on branch v3.8.x (DOC: multilevel tick example)
+* :ghpull:`27420`: Backport PR #27325 on branch v3.8.x (Fixing Sentence Case on Section Titles in users_explain)
+* :ghpull:`27413`: Backport PR #27412 on branch v3.8.x (ci: Block PyQt6 6.6.0 on Ubuntu)
+* :ghpull:`27412`: ci: Block PyQt6 6.6.0 on Ubuntu
+* :ghpull:`27403`: Backport PR #27386 on branch v3.8.x (Doc: add a "please use dev version" to top of contribute docs)
+* :ghpull:`27384`: Backport PR #27377 on branch v3.8.x (TST: Make test_movie_writer_invalid_path locale-agnostic)
+* :ghpull:`27377`: TST: Make test_movie_writer_invalid_path locale-agnostic
+* :ghpull:`27379`: Backport PR #27376 on branch v3.8.x ([MNT] fix type annotations of ``fignum_exists``)
+* :ghpull:`27376`: [MNT] fix type annotations of ``fignum_exists``
+* :ghpull:`27369`: Backport PR #27365 on branch v3.8.x ([DOC]: Fix menu example)
+* :ghpull:`27365`: [DOC]: Fix menu example
+* :ghpull:`27354`: Backport PR #27348 on branch v3.8.x (updated api/animation documentation as per standards)
+
+Issues (18):
+
+* :ghissue:`27437`: [Bug]: PGF backend crashes at program exit after creating a plot
+* :ghissue:`27770`: [Bug]: pcolormesh issue with np.seterr(under='raise')
+* :ghissue:`27720`: [Bug]: pyplot hangs at pause in sonoma 14.3 with backend MacOSX
+* :ghissue:`26316`: [Bug]: quiverkey shows multiple arrows under geographical projection and angle='xy'
+* :ghissue:`23178`: [Bug]: ``contains_point()`` does not appear to work?
+* :ghissue:`27389`: [Bug]: Warning after update to macOS 14 "WARNING: Secure coding is not enabled for restorable state! Enable secure coding by implementing NSApplicationDelegate.applicationSupportsSecureRestorableState: and returning YES."
+* :ghissue:`27645`: [TST] Upcoming dependency test failures
+* :ghissue:`26484`: [Bug]: Turning on minor gridlines in a multi-Axes Figure, created with subplots(), that contains >1 boxplot results in a ValueError
+* :ghissue:`27596`: [Bug]: Markers with numeric name like CARETLEFT cannot be specified using a cycler
+* :ghissue:`25995`: [Bug]: _path.is_sorted is wrong for the non-native byteorder case
+* :ghissue:`25568`: [Bug]: unexpected thetalim behavior in polar plot
+* :ghissue:`27507`: [Bug]: Argument types for ``handles`` and ``labels`` are too strict for method ``Axes.legend``
+* :ghissue:`27503`: [Bug]: Cannot Create lines.AxLine
+* :ghissue:`27515`: [Bug]: Python interpreter becomes slow at reading inputs after plotting with matplotlib
+* :ghissue:`27345`: [Doc]: text alignment defaults
+* :ghissue:`27461`: [Doc]: API interface overview pylab incorrect import statement: from matplotlib.pyplot import *
+* :ghissue:`27383`: [Bug]: Error in Hexbin plot in Matplotlib 3.0 onward
+* :ghissue:`27358`: [Doc]: Garbled menu widget example output
diff --git a/doc/users/prev_whats_new/github_stats_3.8.4.rst b/doc/users/prev_whats_new/github_stats_3.8.4.rst
new file mode 100644
index 000000000000..324393b12f9d
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.8.4.rst
@@ -0,0 +1,78 @@
+.. _github-stats-3-8-4:
+
+GitHub statistics for 3.8.4 (Apr 03, 2024)
+==========================================
+
+GitHub statistics for 2023/09/15 (tag: v3.8.0) - 2024/04/03
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 3 issues and merged 27 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/89?closed=1>`__
+
+The following 26 authors contributed 351 commits.
+
+* 0taj
+* Alec Vercruysse
+* Alexander Volkov
+* Antony Lee
+* Anvi Verma
+* Chiraag Balu
+* David Gilbertson
+* David Stansby
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Eric Firing
+* Greg Lucas
+* Gurudatta Shanbhag
+* hannah
+* James Salsman
+* Jody Klymak
+* Kyle Sunden
+* lkkmpn
+* Lucia Korpas
+* Matthew Morrison
+* Oscar Gustafsson
+* Ruth Comer
+* Samuel Diebolt
+* Thomas A Caswell
+* Tim Hoffmann
+* wemi3
+
+GitHub issues and pull requests:
+
+Pull Requests (27):
+
+* :ghpull:`28015`: Backport PR #27955 on branch v3.8.x (Add a draw during show for macos backend)
+* :ghpull:`27993`: Unpin numpy 2, build against prerelease numpy in CIBW
+* :ghpull:`27955`: Add a draw during show for macos backend
+* :ghpull:`28001`: Backport PR #28000 on branch v3.8.x (Fix color sequence data for Set2 and Set3)
+* :ghpull:`28000`: Fix color sequence data for Set2 and Set3
+* :ghpull:`27990`: Backport PR #27988 on branch v3.8.x (gtk: Ensure pending draws are done before GTK draw)
+* :ghpull:`27988`: gtk: Ensure pending draws are done before GTK draw
+* :ghpull:`27986`: Backport PR #27985 on branch v3.8.x (TST: Remove superfluous chdir from tests)
+* :ghpull:`27985`: TST: Remove superfluous chdir from tests
+* :ghpull:`27976`: Backport PR #27975 on branch v3.8.x (DOC: Fix typo in ``ax.transData.inversed()``)
+* :ghpull:`27934`: Backport PR #27933 on branch v3.8.x (Update "Created with" url in hand.svg)
+* :ghpull:`27933`: Update "Created with" url in hand.svg
+* :ghpull:`27926`: Backport PR #27875 on branch v3.8.x (macosx: Clean up single-shot timers correctly)
+* :ghpull:`27925`: Backport PR #27921 on branch v3.8.x (Avoid modifying user input to Axes.bar)
+* :ghpull:`27875`: macosx: Clean up single-shot timers correctly
+* :ghpull:`27921`: Avoid modifying user input to Axes.bar
+* :ghpull:`27903`: Merge 3.8.3-doc into 3.8.x
+* :ghpull:`27889`: Backport PR #27888 on branch v3.8.x (DOC: fix stray release note entry)
+* :ghpull:`27888`: DOC: fix stray release note entry
+* :ghpull:`27849`: Backport PR #27754 on branch v3.8.x (fix quiver3d incorrect arrow colors)
+* :ghpull:`27859`: Backport PR #27858 on branch v3.8.x (pin pytest)
+* :ghpull:`27858`: pin pytest
+* :ghpull:`27754`: fix quiver3d incorrect arrow colors
+* :ghpull:`27847`: Backport PR #27846 on branch v3.8.x (Make example in legend_elements doc more generalisable)
+* :ghpull:`27846`: Make example in legend_elements doc more generalisable
+* :ghpull:`27802`: Backport PR #27794 on branch v3.8.x (Remove old reference to 72 DPI in figure_size_units.py)
+* :ghpull:`27794`: Remove old reference to 72 DPI in figure_size_units.py
+
+Issues (3):
+
+* :ghissue:`27953`: [Bug]: Pyplot can no longer set axes properties
+* :ghissue:`11759`: The color of the 3D arrow head does not match that of the arrow body
+* :ghissue:`27826`: [Bug]: Unexpected behavior of scatter.legend_elements
diff --git a/doc/users/prev_whats_new/github_stats_3.9.0.rst b/doc/users/prev_whats_new/github_stats_3.9.0.rst
new file mode 100644
index 000000000000..5ddbdfd6f2bd
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.9.0.rst
@@ -0,0 +1,744 @@
+.. _github-stats-3-9-0:
+
+GitHub statistics for 3.9.0 (May 15, 2024)
+==========================================
+
+GitHub statistics for 2023/09/15 (tag: v3.8.0) - 2024/05/15
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 97 issues and merged 450 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/78?closed=1>`__
+
+The following 175 authors contributed 2584 commits.
+
+* 0taj
+* Abdul Razak Taha
+* Adam J. Stewart
+* Adam Turner
+* Aditi Gautam
+* agautam478
+* Alan Lau
+* Albert Y. Shih
+* Alec Vercruysse
+* Alexander Volkov
+* Alice Descoeudres
+* Allan Haldane
+* Amirreza Aflakparast
+* Ananya Devarakonda
+* ananya314
+* Anja Beck
+* Anjini2004
+* Ant Lockyer
+* Antony Lee
+* Anvi Verma
+* Artyom Romanov
+* Augusto Borges
+* avramid9
+* Ben Root
+* bersbersbers
+* Binaya Sharma
+* Cameron
+* Chaoyi Hu
+* chaoyihu
+* Chiraag Balu
+* Christoph Hasse
+* ConstableCatnip
+* CozyFrog
+* Cyril Gadal
+* Dale Dai
+* Daniel Bergman
+* Daniel Hitchcock
+* danielcobej
+* David Gilbertson
+* David Stansby
+* ddale1128@gmail.com
+* dependabot[bot]
+* Devilsaint
+* dohyun
+* Drew Kinneer
+* DWesl
+* Elisa Heckelmann
+* ElisaHeck
+* Elliott Sales de Andrade
+* Eric Firing
+* Eric Prestat
+* esibinga
+* Eva Sibinga
+* Evgenii Radchenko
+* Faisal Fawad
+* Felipe Cybis Pereira
+* Garrett Sward
+* Gaurav-Kumar-Soni
+* Gauri Chaudhari
+* Gautam Sagar
+* Greg Lucas
+* Gurudatta Shanbhag
+* hannah
+* Haoying Zhang
+* Hugues Hoppe
+* i-jey
+* iamfaham
+* Ian Hunt-Isaak
+* Ian Thomas
+* ifEricReturnTrue
+* Illviljan
+* Issam
+* Issam Arabi
+* Jacob Stevens-Haas
+* Jacob Tomlinson
+* Jake
+* Jake Stevens-Haas
+* James Salsman
+* Jaroza727
+* Jeremy Farrell
+* Jirka
+* Jody Klymak
+* Jorge Moraleda
+* Joshua Stevenson
+* jovianw
+* João Andrade
+* jpgianfaldoni
+* jsdodge
+* jsjeelshah
+* judfs
+* Juhan Oskar Hennoste
+* Junpei Ota
+* Katherine Turk
+* katotaisei
+* KheshavKumar
+* Koustav Ghosh
+* Kritika Verma
+* Kyle Sunden
+* Linyi Li
+* linyilily
+* lkkmpn
+* Lucia Korpas
+* madisonwong210
+* Maggie Liu
+* Marc Bresson
+* Matthew Feickert
+* Matthew Morrison
+* Matthias Bussonnier
+* Melissa Weber Mendonça
+* melissawm
+* mliu08
+* Mostafa Noah
+* MostafaNouh0011
+* n-aswin
+* Nabil
+* nbarlowATI
+* Nidaa Rabah
+* Nivedita Chaudhari
+* Oscar Gustafsson
+* patel-zeel
+* Pavel Liavonau
+* Pedro
+* Pedro Peçanha
+* Peter Talley
+* Pradeep Reddy Raamana
+* Prajwal Agrawal
+* Pranav Raghu
+* prateetishah
+* pre-commit-ci[bot]
+* QuadroTec
+* Rafael Tsuha
+* Raghuram Sirigiri
+* Raphael
+* Raphael Quast
+* Ratnabali Dutta
+* rawwash
+* rsp2210
+* Ruoyi
+* Ruoyi Xie
+* Rushikesh Pandya
+* Ruth Comer
+* samGreer
+* Samuel Diebolt
+* saranti
+* Scott Shambaugh
+* Sebastian Berg
+* Seohyeon Lee
+* Sheepfan0828
+* ShivamPathak99
+* Shriya Kalakata
+* shriyakalakata
+* Stefan
+* Steffen Rehberg
+* stevezhang1999
+* Sudhanshu Pandey
+* Talha Irfan
+* thehappycheese
+* Thomas A Caswell
+* Tiago Lubiana
+* Tim Hoffmann
+* tobias
+* Tom Sarantis
+* trananso
+* turnipseason
+* tusharkulkarni008
+* UFEddy
+* Vashesh08
+* vicky6
+* vigneshvetrivel8
+* wemi3
+* yangyangdotcom
+* YiLun Fan
+* Zach Champion
+* zachjweiner
+* zoehcycy
+
+GitHub issues and pull requests:
+
+Pull Requests (450):
+
+* :ghpull:`28206`: Backport PR #28205 on branch v3.9.x (TST: Fix tests with older versions of ipython)
+* :ghpull:`28207`: TST: Followup corrections to #28205
+* :ghpull:`28205`: TST: Fix tests with older versions of ipython
+* :ghpull:`28203`: Backport PR #28164 on branch v3.9.x (CI: Ensure code coverage is always uploaded)
+* :ghpull:`28204`: Backport PR #28195 on branch v3.9.x (TST: Prepare for pytest 9)
+* :ghpull:`28191`: DOC: Use released mpl-sphinx-theme on v3.9.x
+* :ghpull:`28195`: TST: Prepare for pytest 9
+* :ghpull:`28193`: Backport PR #28185 on branch v3.9.x (DOC: Bump mpl-sphinx-theme to 3.9)
+* :ghpull:`28190`: Backport PR #28103 on branch v3.9.x ([DOC]: Fix compatibility with sphinx-gallery 0.16)
+* :ghpull:`28164`: CI: Ensure code coverage is always uploaded
+* :ghpull:`28194`: Backport PR #28188 on branch v3.9.x ([TST] Bump some tolerances for Macos ARM)
+* :ghpull:`28188`: [TST] Bump some tolerances for Macos ARM
+* :ghpull:`28185`: DOC: Bump mpl-sphinx-theme to 3.9
+* :ghpull:`28189`: Backport PR #28181 on branch v3.9.x (DOC: Prepare release notes for 3.9)
+* :ghpull:`28103`: [DOC]: Fix compatibility with sphinx-gallery 0.16
+* :ghpull:`28181`: DOC: Prepare release notes for 3.9
+* :ghpull:`28184`: Backport PR #28182 on branch v3.9.x (Bump custom hatch deprecation expiration)
+* :ghpull:`28182`: Bump custom hatch deprecation expiration
+* :ghpull:`28178`: Backport PR #28171 on branch v3.9.x (Support removing absent tools from ToolContainerBase.)
+* :ghpull:`28171`: Support removing absent tools from ToolContainerBase.
+* :ghpull:`28174`: Backport PR #28169 on branch v3.9.x (Clarify public-ness of some ToolContainerBase APIs.)
+* :ghpull:`28169`: Clarify public-ness of some ToolContainerBase APIs.
+* :ghpull:`28160`: Backport PR #28039 on branch v3.9.x (Respect vertical_axis when rotating plot interactively)
+* :ghpull:`28159`: Backport PR #28157 on branch v3.9.x (Remove call to non-existent method _default_contains in Artist)
+* :ghpull:`28162`: Backport PR #27948 on branch v3.9.x (Move IPython backend mapping to Matplotlib and support entry points)
+* :ghpull:`28163`: Backport PR #28144 on branch v3.9.x (DOC: Refactor code in the fishbone diagram example)
+* :ghpull:`28144`: DOC: Refactor code in the fishbone diagram example
+* :ghpull:`27948`: Move IPython backend mapping to Matplotlib and support entry points
+* :ghpull:`28039`: Respect vertical_axis when rotating plot interactively
+* :ghpull:`28157`: Remove call to non-existent method _default_contains in Artist
+* :ghpull:`28141`: Backport PR #27960 on branch v3.9.x (Update AppVeyor config)
+* :ghpull:`28138`: Backport PR #28068 on branch v3.9.x ([TYP] Add possible type hint to ``colors`` argument in ``LinearSegmentedColormap.from_list``)
+* :ghpull:`28140`: Backport PR #28136 on branch v3.9.x (Appease pycodestyle.)
+* :ghpull:`27960`: Update AppVeyor config
+* :ghpull:`28068`: [TYP] Add possible type hint to ``colors`` argument in ``LinearSegmentedColormap.from_list``
+* :ghpull:`28136`: Appease pycodestyle.
+* :ghpull:`28135`: Backport PR #28134 on branch v3.9.x (DOC: Minor improvements on quickstart)
+* :ghpull:`28134`: DOC: Minor improvements on quickstart
+* :ghpull:`28121`: Backport PR #28085 on branch v3.9.x (Clarify that the pgf backend is never actually used interactively.)
+* :ghpull:`28120`: Backport PR #28102 on branch v3.9.x (Fix typo in color mapping documentation in quick_start.py)
+* :ghpull:`28109`: Backport PR #28100 on branch v3.9.x (TST: wxcairo sometimes raises OSError on missing cairo libraries)
+* :ghpull:`28100`: TST: wxcairo sometimes raises OSError on missing cairo libraries
+* :ghpull:`28108`: Backport PR #28107 on branch v3.9.x ([DOC] Fix description in CapStyle example)
+* :ghpull:`28107`: [DOC] Fix description in CapStyle example
+* :ghpull:`28102`: Fix typo in color mapping documentation in quick_start.py
+* :ghpull:`28095`: Backport PR #28094 on branch v3.9.x (DOC: exclude sphinx 7.3.*)
+* :ghpull:`28081`: Backport PR #28078 on branch v3.9.x (Clarify that findfont & _find_fonts_by_props return paths.)
+* :ghpull:`28080`: Backport PR #28077 on branch v3.9.x (Parent tk StringVar to the canvas widget, not to the toolbar.)
+* :ghpull:`28092`: Backport PR #28032 on branch v3.9.x (FIX: ensure images are C order before passing to pillow)
+* :ghpull:`28032`: FIX: ensure images are C order before passing to pillow
+* :ghpull:`28088`: Backport PR #28087 on branch v3.9.x (Document Qt5 minimal version.)
+* :ghpull:`28085`: Clarify that the pgf backend is never actually used interactively.
+* :ghpull:`28078`: Clarify that findfont & _find_fonts_by_props return paths.
+* :ghpull:`28077`: Parent tk StringVar to the canvas widget, not to the toolbar.
+* :ghpull:`28062`: Backport PR #28056 on branch v3.9.x (Strip trailing spaces from log-formatter cursor output.)
+* :ghpull:`28063`: Backport PR #28055 on branch v3.9.x (DOC: Improve inverted axis example)
+* :ghpull:`28056`: Strip trailing spaces from log-formatter cursor output.
+* :ghpull:`28049`: Backport PR #28036 on branch v3.9.x (BLD: Fetch version from setuptools_scm at build time)
+* :ghpull:`28036`: BLD: Fetch version from setuptools_scm at build time
+* :ghpull:`28038`: Backport PR #28023 on branch v3.9.x (ci: Update merge conflict labeler)
+* :ghpull:`28023`: ci: Update merge conflict labeler
+* :ghpull:`28035`: Backport PR #28026 on branch v3.9.x ([DOC] reshuffle of contributing)
+* :ghpull:`28026`: [DOC] reshuffle of contributing
+* :ghpull:`28024`: DOC: Rewrite "Work on an issue" section
+* :ghpull:`28011`: DOC: Move bug reports and feature requests to top of contributing index
+* :ghpull:`27747`: Move doc/users/installing/ to doc/install/
+* :ghpull:`27952`: ENH: Align titles
+* :ghpull:`28017`: Merge up v3.8.4
+* :ghpull:`28014`: Improve timeline example.
+* :ghpull:`28019`: DOC: correct path to mpl_toolkits reference images
+* :ghpull:`26981`: Fixes Issue #26377 - Auto-escape % Symbol in Latex in pie labels
+* :ghpull:`28007`: wx: Fix file extension for toolmanager-style toolbar
+* :ghpull:`25556`: Display cursor coordinates for all axes twinned with the current one.
+* :ghpull:`23597`: Always use PyQT/PySide6 for GitHub CI
+* :ghpull:`28013`: Avoid plt.xticks/plt.yticks in gallery examples.
+* :ghpull:`28006`: Fix deprecation warnings in ft2font extension
+* :ghpull:`27723`: ci: Enable testing on M1 macOS
+* :ghpull:`26375`: Add ``widths``, ``heights`` and ``angles`` setter to ``EllipseCollection``
+* :ghpull:`27999`: Remove documentation that some backends don't support hatching.
+* :ghpull:`26710`: Add support for High DPI displays to wxAgg backend
+* :ghpull:`27148`: Correctly treat pan/zoom events of overlapping axes.
+* :ghpull:`27981`: DOC: Fix label type specification in parameter descriptions
+* :ghpull:`27979`: Clarify error message for bad-dimensionality in pcolorfast().
+* :ghpull:`27962`: DOC: Document axes_grid1.Grid attributes
+* :ghpull:`27968`: MNT: Remove remaining 3.7 deprecations
+* :ghpull:`27965`: DOC: Rewrite the example illustrating bxp()
+* :ghpull:`26453`: add documentation for reloading font cache
+* :ghpull:`26131`: Tst/restore old tests
+* :ghpull:`27730`: Add an rcparam for image.interpolation_stage.
+* :ghpull:`27956`: Use PyOS_setsig in macos backend
+* :ghpull:`27829`: Simplify color/marker disambiguation logic in _process_plot_format.
+* :ghpull:`27840`: Add legend support for boxplots
+* :ghpull:`27943`: Support Cn, n>9 in plot() shorthand format.
+* :ghpull:`27950`: ci: Fix condition for publishing wheels
+* :ghpull:`27909`: Add a note to pyplot docstrings referencing the corresponding object methods
+* :ghpull:`27929`: DOC: Add summary lines to plot types
+* :ghpull:`27915`: [BUG] Fix redirect-from Sphinx extension
+* :ghpull:`27945`: DOC: Explain leading dot in object references
+* :ghpull:`27947`: Update docs for ``FancyArrowPatch`` & ``Annotation`` to make it clear that ShrinkA/B parameters are in points and not fractional.
+* :ghpull:`27944`: Bump the actions group with 2 updates
+* :ghpull:`27932`: Fix pickling of make_axes_area_auto_adjustable'd axes.
+* :ghpull:`26500`: closes #26477 ENH: Add interpolation_stage in qt figureoptions
+* :ghpull:`27927`: Update docs
+* :ghpull:`27916`: Revert renaming labels to tick_labels in boxplot_stats()
+* :ghpull:`27931`: Highlight development_setup code snippets as bash, not python.
+* :ghpull:`27856`: Support hatching in cairo backends.
+* :ghpull:`27922`: Fix cbook style
+* :ghpull:`27668`: MNT: prevent merging using labels + branch protection rules
+* :ghpull:`27857`: Documentation edit for matshow function
+* :ghpull:`27928`: DOC: Fix syntax for ToolBase.image docstring
+* :ghpull:`27873`: Simplify the LineCollection example
+* :ghpull:`27492`: Fix semantics of MEP22 image names.
+* :ghpull:`27918`: Fix new flake8 errors from old merge
+* :ghpull:`27874`: Modernize macosx backend a bit
+* :ghpull:`25887`: Update ``_unpack_to_numpy`` function to convert JAX and PyTorch arrays to NumPy
+* :ghpull:`27685`: Work around pyparsing diagnostic warnings
+* :ghpull:`26594`: Added optional props argument to Lasso Widget __init__ to customize Lasso line
+* :ghpull:`22761`: Add minor ticks on and off in Axis
+* :ghpull:`22407`: Add ``set_XY`` and ``set_data`` to ``Quiver``
+* :ghpull:`27901`: Rename boxplot's tick label parameter
+* :ghpull:`27883`: Fix build on older macOS deployment targets
+* :ghpull:`27900`: Remove empty user guide tutorials page
+* :ghpull:`27885`: Clean up headers in extensions
+* :ghpull:`27910`: DOC: Fix dead link in README
+* :ghpull:`26567`: Use SVG inheritance diagrams now that linking has been fixed
+* :ghpull:`27899`: Merge up 3.8.x into main
+* :ghpull:`27905`: Improved error message for malformed colors
+* :ghpull:`27906`: Override open_group, close_group methods in PathEffectRenderer
+* :ghpull:`27904`: FIX: Restore D213 in flake8
+* :ghpull:`27895`: Remove versions from sidebar in docs
+* :ghpull:`27894`: Mark triangulation classes as final
+* :ghpull:`27557`: Use :mpltype:``color`` for color types
+* :ghpull:`27845`: Make sure custom alpha param does not change 'none' colors in a list of colors
+* :ghpull:`27719`: Add BackendRegistry singleton class
+* :ghpull:`27890`: DOC: State approximate documentation build time
+* :ghpull:`27887`: BLD: Add a fallback URL for FreeType
+* :ghpull:`25224`: Allow passing a transformation to secondary_xaxis/_yaxis
+* :ghpull:`27886`: Fix devdocs version switcher
+* :ghpull:`27884`: FIX: don't copy twice on RGB input
+* :ghpull:`27087`: Convert path extension to pybind11
+* :ghpull:`27867`: DOC: Update some animation related topics
+* :ghpull:`27848`: FIX: handle nans in RGBA input with ScalarMappables
+* :ghpull:`27821`: BLD,Cygwin: Include Python.h first in various C++ files
+* :ghpull:`27457`: TST: adding tests of current clear behavior on ticks
+* :ghpull:`27872`: doc: add description of ``**kwargs`` usage to collections
+* :ghpull:`27868`: Use pybind11 string formatter for exception messages
+* :ghpull:`27862`: Add dtype/copy args to internal testing class
+* :ghpull:`27658`: Bump pydata-sphinx-theme
+* :ghpull:`27303`: FIX: also exclude np.nan in RGB(A) in color mapping
+* :ghpull:`27860`: Bump the actions group with 2 updates
+* :ghpull:`27869`: Correctly set temporary pdf/pgf backends
+* :ghpull:`27850`: Deprecate ``plot_date``
+* :ghpull:`27815`: Add side option to violinplot
+* :ghpull:`27836`: DOC: use ... for continuation prompt in docstrings
+* :ghpull:`27819`: MNT: remove draw method args and kwargs
+* :ghpull:`27813`: DOC: Update violinplot() docs
+* :ghpull:`27698`: Add linting and validation of all YAML files
+* :ghpull:`27811`: Fix Annulus width check
+* :ghpull:`27667`: Change return type of ``ion`` and ``ioff`` to fix unbound variable errors with Pyright
+* :ghpull:`27807`: Expand CI pytest reporting config to ignore xfails
+* :ghpull:`27806`: Remove self._renderer from AnnotationBbox and ConnectionPatch
+* :ghpull:`27799`: Clarify that set_ticks() affects major/minor ticks independently
+* :ghpull:`27787`: Improve documentation on boxplot and violinplot
+* :ghpull:`27800`: Deactivate sidebar for release notes
+* :ghpull:`27798`: Fix sphinx-gallery CSS
+* :ghpull:`27462`: DOC: clarify the default value of *radius* in Patch.contains_point
+* :ghpull:`27565`: MNT: arghandling subplotspec
+* :ghpull:`27796`: Make mypy a bit stricter
+* :ghpull:`27767`: Update handling of sequence labels for plot
+* :ghpull:`27795`: Add EffVer badge
+* :ghpull:`27780`: Partly revert #27711
+* :ghpull:`27768`: MNT: deprecate draw method args and kwargs
+* :ghpull:`27783`: Update README.md to fix citation link
+* :ghpull:`27726`: TST: always set a (long) timeout for subprocess and always use our wrapper
+* :ghpull:`27781`: Simplify example: Box plots with custom fill colors
+* :ghpull:`27750`: Bump the actions group with 2 updates
+* :ghpull:`27771`: Add marker-only and line+marker visuals to the plot() plot types
+* :ghpull:`27764`: Increase size of legend in Legend guide example
+* :ghpull:`26800`: Bump minimum NumPy version to 1.23
+* :ghpull:`27752`: Update some Meson internals
+* :ghpull:`27702`: GOV: adopt EffVer
+* :ghpull:`26965`: Removal of deprecated API cm
+* :ghpull:`27758`: [Doc] Remove special casing for removed method
+* :ghpull:`25815`: [TST] Make jpl units instantiated with datetimes consistent with mpl converters
+* :ghpull:`27729`: DOC: Improve colormap normalization example
+* :ghpull:`27732`: TST: Remove memory leak test
+* :ghpull:`27733`: ci: Simplify CodeQL setup
+* :ghpull:`27692`: Add method to update position of arrow patch
+* :ghpull:`27736`: Fix incorrect API reference in docs
+* :ghpull:`27731`: DOC: Create explicit rename legend entry section in guide
+* :ghpull:`27560`: Moved /users/project to /doc/project
+* :ghpull:`27728`: Simplify Figure._suplabels.
+* :ghpull:`27715`: Bump the actions group with 3 updates
+* :ghpull:`27711`: Fix boxplot legend entries part 2
+* :ghpull:`27696`: DOC: clean up automated tests section of workflow docs
+* :ghpull:`27686`: Improve Locator docstrings
+* :ghpull:`27704`: ci: Remove prerelease conditions from Azure Pipelines
+* :ghpull:`27568`: Fix boxplot legend entries
+* :ghpull:`27694`: MNT: fix labeller
+* :ghpull:`26953`: MNT: test that table doesn't try to convert unitized data
+* :ghpull:`27690`: Remove "Past versions" section from release notes
+* :ghpull:`26926`: Closes #22011: Changes to SubFigures so it behaves like a regular artist
+* :ghpull:`27469`: Fixed legend with legend location "best" when legend overlaps shaded area and text
+* :ghpull:`27684`: Bump the actions group with 1 update
+* :ghpull:`27665`: Axes.inset_axes - warning message removed
+* :ghpull:`27688`: CI: skip code coverage upload on scheduled tests
+* :ghpull:`27689`: ci: Don't include API/what's new notes in general doc labels
+* :ghpull:`27640`: Add ``get_cursor_data`` to ``NonUniformImage``
+* :ghpull:`27676`: BLD: Downgrade FreeType to 2.6.1 on Windows ARM
+* :ghpull:`27619`: Use GH action to install reviewdog
+* :ghpull:`27552`: TST: Use importlib for importing in pytest
+* :ghpull:`27650`: DOC: Added call out to API guidelines to contribute + small API guidelines reorg
+* :ghpull:`27618`: Add option of running stubtest using tox
+* :ghpull:`27656`: Bump the actions group with 1 update
+* :ghpull:`27415`: Use class form of data classes
+* :ghpull:`27649`: Check for latex binary before building docs
+* :ghpull:`27641`: MNT: fix api changes link in PR template
+* :ghpull:`27644`: ci: Fix mpl_toolkits label
+* :ghpull:`27230`: Query macOS for available system fonts.
+* :ghpull:`27643`: ci: Update nightly upload for artifacts v4
+* :ghpull:`27642`: Fix auto-labeler configuration
+* :ghpull:`27639`: Doc: typo fix for #22699
+* :ghpull:`26978`: [pre-commit.ci] pre-commit autoupdate
+* :ghpull:`27563`: Enable PyPI publishing from GitHub Actions
+* :ghpull:`22699`: Proof of concept for adding kwdoc content to properties using a decorator
+* :ghpull:`27633`: Auto-label PRs based on changed files
+* :ghpull:`27607`: Error on bad input to hexbin extents
+* :ghpull:`27629`: Don't run CI twice on dependabot branches
+* :ghpull:`27562`: Avoid an extra copy/resample if imshow input has no alpha
+* :ghpull:`27628`: Bump the actions group with 2 updates
+* :ghpull:`27626`: CI: Group dependabot updates
+* :ghpull:`27589`: Don't clip PowerNorm inputs < vmin
+* :ghpull:`27613`: Fix marker validator with cycler (allow mix of classes)
+* :ghpull:`27615`: MNT: add spaces to PR template
+* :ghpull:`27614`: DOC: Updated link in annotation API docs to point to annotation user guide
+* :ghpull:`27605`: Ignore masked values in boxplot
+* :ghpull:`26884`: Remove deprecated code from _fontconfig_patterns
+* :ghpull:`27602`: Let FormatStrFormatter respect axes.unicode_minus.
+* :ghpull:`27601`: Clarify dollar_ticks example and FormatStrFormatter docs.
+* :ghpull:`24834`: Deprecate apply_theta_transforms=True to PolarTransform
+* :ghpull:`27591`: Use macOS instead of OSX in comments/docs
+* :ghpull:`27577`: MNT: add the running version to pickle warning message
+* :ghpull:`25191`: Deprecate 'prune' kwarg to MaxNLocator
+* :ghpull:`27566`: DOC: changed tag ``plot type`` to ``plot-type``
+* :ghpull:`27105`: Use Axes instead of axes core library code
+* :ghpull:`27575`: Add quotes round .[dev] in editable install command
+* :ghpull:`27104`: Use Axes instead of axes in galleries
+* :ghpull:`27373`: Transpose grid_finder tick representation.
+* :ghpull:`27363`: ci: Improve coverage for compiled code
+* :ghpull:`27200`: DOC: Add role for custom informal types like color
+* :ghpull:`27548`: DOC: typo fix in contribute doc
+* :ghpull:`27458`: Check if the mappable is in a different Figure than the one fig.color…
+* :ghpull:`27546`: MNT: Clean up some style exceptions
+* :ghpull:`27514`: Improve check for bbox
+* :ghpull:`27265`: DOC: reorganizing contributing docs to clean up toc, better separate topics
+* :ghpull:`27517`: Best-legend-location microoptimization
+* :ghpull:`27540`: Bump github/codeql-action from 2 to 3
+* :ghpull:`27520`: [Doc] Minor consistency changes and correction of Marker docs
+* :ghpull:`27505`: Download Qhull source from Github, not Qhull servers, in meson build
+* :ghpull:`27518`: Micro-optimizations related to list handling
+* :ghpull:`27495`: Bump actions/stale from 8 to 9
+* :ghpull:`27523`: Changes for stale GHA v9
+* :ghpull:`27519`: [Doc] Improve/correct docs for 3D
+* :ghpull:`27447`: TST: Compress some hist geometry tests
+* :ghpull:`27513`: Fix docs and add tests for transform and deprecate ``BboxTransformToMaxOnly``
+* :ghpull:`27511`: TST: Add tests for Affine2D
+* :ghpull:`27424`: Added Axes.stairs test in test_datetime.py
+* :ghpull:`27267`: Fix/restore secondary axis support for Transform-type functions
+* :ghpull:`27013`: Add test_contour under test_datetime.py
+* :ghpull:`27497`: Clarify that set_axisbelow doesn't move grids below images.
+* :ghpull:`27498`: Remove unnecessary del local variables at end of Gcf.destroy.
+* :ghpull:`27466`: Add test_eventplot to test_datetime.py
+* :ghpull:`25905`: Use annotate coordinate systems to simplify label_subplots.
+* :ghpull:`27471`: Doc: visualizing_tests and ``triage_tests`` tools
+* :ghpull:`27474`: Added smoke test for Axes.matshow to test_datetime.py
+* :ghpull:`27470`: Fix test visualization tool for non-PNG files
+* :ghpull:`27426`: DOC: normalizing histograms
+* :ghpull:`27452`: Cleanup unit_cube-methods
+* :ghpull:`27431`: Added test for Axes.bar_label
+* :ghpull:`26962`: Remove backend 3.7-deprecated API
+* :ghpull:`27410`: Add test_vlines to test_datetime.py
+* :ghpull:`27425`: Added test_fill_betweenx in test_datetime.py
+* :ghpull:`27449`: Remove test_quiverkey from test_datetime.py
+* :ghpull:`27427`: MNT/TST: remove xcorr and acorr from test_datetime
+* :ghpull:`27390`: Add test_bxp in test_datetime.py
+* :ghpull:`27428`: Added test for broken_barh to test_datetime.py
+* :ghpull:`27222`: [TST] Added test_annotate in test_datetime.py
+* :ghpull:`27135`: Added smoke test for Axes.stem
+* :ghpull:`27343`: Fix draggable annotations on subfigures.
+* :ghpull:`27033`: Add test_bar in test_datetime
+* :ghpull:`27423`: Add test for fill_between in test_datetime.py
+* :ghpull:`27409`: Fix setting ``_selection_completed`` in ``SpanSelector`` when spanselector is initialised using ``extents``
+* :ghpull:`27440`: Fix get_path for 3d artists
+* :ghpull:`27422`: TST: Cache available interactive backends
+* :ghpull:`27401`: Add test_fill in test_datetime.py
+* :ghpull:`27419`: DOC: Add AsinhScale to list of built-in scales
+* :ghpull:`27417`: Switch pytest fixture from tmpdir to tmp_path
+* :ghpull:`27172`: ENH: Change logging to warning when creating a legend with no labels
+* :ghpull:`27405`: Check that xerr/yerr values are not None in errorbar
+* :ghpull:`27392`: Remove test_spy from test_datetime.py
+* :ghpull:`27331`: Added smoke test for Axes.barbs in test_datetime.py
+* :ghpull:`27393`: MNT: Fix doc makefiles
+* :ghpull:`27387`: Revert "MNT: add _version.py to .gitignore"
+* :ghpull:`27347`: FIX: scale norm of collections when first array is set
+* :ghpull:`27374`: MNT: add _version.py to .gitignore
+* :ghpull:`19011`: Simplify tk tooltip setup.
+* :ghpull:`27367`: Fix _find_fonts_by_props docstring
+* :ghpull:`27359`: Fix build on PyPy
+* :ghpull:`27362`: Implement SubFigure.remove.
+* :ghpull:`27360`: Fix removal of colorbars on nested subgridspecs.
+* :ghpull:`27211`: Add test_hlines to test_datetimes.py
+* :ghpull:`27353`: Refactor AxisArtistHelpers
+* :ghpull:`27357`: [DOC]: Update 3d axis limits what's new
+* :ghpull:`26992`: Convert TkAgg utilities to pybind11
+* :ghpull:`27215`: Add ``@QtCore.Slot()`` decorations to ``NavigationToolbar2QT``
+* :ghpull:`26907`: Removal of deprecations for Contour
+* :ghpull:`27285`: Factor out common parts of qt and macos interrupt handling.
+* :ghpull:`27306`: Simplify GridSpec setup in make_axes_gridspec.
+* :ghpull:`27313`: FIX: allow re-shown Qt windows to be re-destroyed
+* :ghpull:`27184`: Use pybind11 for qhull wrapper
+* :ghpull:`26794`: Use pybind11 in _c_internal_utils module
+* :ghpull:`27300`: Remove idiosyncratic get_tick_iterator API.
+* :ghpull:`27275`: MAINT: fix .yml in tag issue template
+* :ghpull:`27288`: Use int.from_bytes instead of implementing the conversion ourselves.
+* :ghpull:`27286`: Various cleanups
+* :ghpull:`27279`: Tweak a few docstrings.
+* :ghpull:`27256`: merge up v3.8.1
+* :ghpull:`27254`: Remove redundant axes_grid colorbar examples.
+* :ghpull:`27251`: webagg: Don't resize canvas if WebSocket isn't connected
+* :ghpull:`27236`: Tagging Example - Tags for multiple figs demo
+* :ghpull:`27245`: MNT: be more careful in Qt backend that there is actually a Figure
+* :ghpull:`27158`: First attempt for individual hatching styles for stackplot
+* :ghpull:`26851`: Establish draft Tag glossary and Tagging guidelines
+* :ghpull:`27083`: DOC: Add tags infrastructure for gallery examples
+* :ghpull:`27204`: BLD: Use NumPy nightly wheels for non-release builds
+* :ghpull:`27208`: Add test_axvline to test_datetime.py
+* :ghpull:`26989`: MNT: print fontname in missing glyph warning
+* :ghpull:`27177`: Add test_axhline in test_datetime.py
+* :ghpull:`27164`: docs: adding explanation for color in ``set_facecolor``
+* :ghpull:`27175`: Deprecate mixing positional and keyword args for legend(handles, labels)
+* :ghpull:`27199`: DOC: clean up links under table formatting docs
+* :ghpull:`27185`: Added smoke tests for Axes.errorbar in test_datetime.py
+* :ghpull:`27091`: Add test_step to test_datetime.py
+* :ghpull:`27182`: Add example for plotting a bihistogram
+* :ghpull:`27130`: added test_axvspan in test.datetime.py
+* :ghpull:`27094`: MNT: move pytest.ini configs to .toml
+* :ghpull:`27139`: added test_axhspan in test_datetime.py
+* :ghpull:`27058`: DOC: concise dependency heading + small clarifications
+* :ghpull:`27053`: Added info for getting compilation output from meson on autorebuild
+* :ghpull:`26906`: Fix masking for Axes3D.plot()
+* :ghpull:`27142`: Added smoke test for Axes.text in test_datetime.py
+* :ghpull:`27024`: Add test_contourf in test_datetime.py
+* :ghpull:`22347`: correctly treat pan/zoom events of overlapping axes
+* :ghpull:`26900`: #26865 removing deprecations to axislines.py
+* :ghpull:`26696`: DOC: Fix colLoc default
+* :ghpull:`27064`: Close all plot windows of a blocking show() on Ctrl+C
+* :ghpull:`26882`: Add scatter test for datetime units
+* :ghpull:`27114`: add test_stackplot in test_datetime.py
+* :ghpull:`27084`: Add test_barh to test_datetime.py
+* :ghpull:`27110`: DOC: Move figure member sections one level down
+* :ghpull:`27127`: BLD: use python3 for shebang consistent with pep-394
+* :ghpull:`27111`: BLD: Fix setting FreeType build type in extension
+* :ghpull:`26921`: MNT: clarify path.sketch rcparam format + test validate_sketch
+* :ghpull:`27109`: TST: Use importlib for subprocess tests
+* :ghpull:`27119`: Update clabel comment.
+* :ghpull:`27117`: Remove datetime test for axes.pie
+* :ghpull:`27095`: Deprecate nth_coord parameter from FixedAxisArtistHelper.new_fixed_axis.
+* :ghpull:`27066`: Tweak array_view to be more like pybind11
+* :ghpull:`27090`: Restore figaspect() API documentation
+* :ghpull:`27074`: Issue #26990: Split the histogram image into two for each code block.
+* :ghpull:`27086`: Rename py namespace to mpl in extension code
+* :ghpull:`27082`: MAINT: Update environment.yml to match requirements files
+* :ghpull:`27072`: Remove datetime test stubs for spectral methods/table
+* :ghpull:`26830`: Update stix table with Unicode names
+* :ghpull:`26969`: DOC: add units to user/explain [ci doc]
+* :ghpull:`27028`: Added test_hist in test_datetime.py
+* :ghpull:`26876`: issue: 26871 - Remove SimplePath class from patches.py
+* :ghpull:`26875`: Fix Deprecation in patches.py
+* :ghpull:`26890`: Removing deprecated api from patches
+* :ghpull:`27037`: add test_plot_date in test_datetime.py
+* :ghpull:`27012`: Bump required C++ standard to c++17
+* :ghpull:`27021`: Add a section to Highlight past winners for JDH plotting contest in docs
+* :ghpull:`27004`: Warning if handles and labels have a len mismatch
+* :ghpull:`24061`: #24050 No error was thrown even number of handles mismatched labels
+* :ghpull:`26754`: DOC: separate and clarify axisartist default tables
+* :ghpull:`27020`: CI: Update scientific-python/upload-nightly-action to 0.2.0
+* :ghpull:`26951`: Clarify that explicit ticklabels are used without further formatting.
+* :ghpull:`26894`: Deprecate setting the timer interval while starting it.
+* :ghpull:`13401`: New clear() method for Radio and Check buttons
+* :ghpull:`23829`: Start transitioning to pyproject.toml
+* :ghpull:`26621`: Port build system to Meson
+* :ghpull:`26928`: [TYP] Add tool for running stubtest
+* :ghpull:`26917`: Deprecate ContourLabeler.add_label_clabeltext.
+* :ghpull:`26960`: Deprecate backend_ps.get_bbox_header, and split it for internal use.
+* :ghpull:`26967`: Minor cleanups.
+* :ghpull:`26909`: deprecated api tri
+* :ghpull:`26946`: Inline Cursor._update into its sole caller.
+* :ghpull:`26915`: DOC: Clarify description and add examples in colors.Normalize
+* :ghpull:`26874`: Cleaned up the span_where class method from Polycollections.
+* :ghpull:`26586`: Support standard formatters in axisartist.
+* :ghpull:`26788`: Fix axh{line,span} on polar axes.
+* :ghpull:`26935`: add tomli to rstcheck extras
+* :ghpull:`26275`: Use pybind11 in image module
+* :ghpull:`26887`: DOC: improve removal for julian dates [ci doc]
+* :ghpull:`26929`: DOC: Fix removal doc for Animation attributes
+* :ghpull:`26918`: 26865 Removed deprecations from quiver.py
+* :ghpull:`26902`: Fixed deprecated APIs in lines.py
+* :ghpull:`26903`: Simplify CheckButtons and RadioButtons click handler.
+* :ghpull:`26899`: MNT: only account for Artists once in fig.get_tightbbox
+* :ghpull:`26861`: QT/NavigationToolbar2: configure subplots dialog should be modal
+* :ghpull:`26885`: Removed deprecated code from gridspec.py
+* :ghpull:`26880`: Updated offsetbox.py
+* :ghpull:`26910`: Removed the deprecated code from offsetbox.py
+* :ghpull:`26905`: Add users/explain to default skip subdirs
+* :ghpull:`26853`: Widgets: Remove deprecations and make arguments keyword only
+* :ghpull:`26877`: Fixes deprecation in lines.py
+* :ghpull:`26871`: Removed the deprecated code from ``axis.py``
+* :ghpull:`26872`: Deprecated code removed in animation.py
+* :ghpull:`26859`: Add datetime testing skeleton
+* :ghpull:`26848`: ci: Don't install recommended packages on Circle
+* :ghpull:`26852`: Remove Julian date support
+* :ghpull:`26801`: [MNT]: Cleanup ticklabel_format (style=)
+* :ghpull:`26840`: Reduce redundant information in _process_plot_var_args.
+* :ghpull:`26731`: Explicitly set foreground color to black in svg icons
+* :ghpull:`26826`: [MNT] Move NUM_VERTICES from mplutils.h to the only file it is used in
+* :ghpull:`26742`: [TYP] Add typing for some private methods and modules
+* :ghpull:`26819`: Reorder safe_first_element() and _safe_first_finite() code
+* :ghpull:`26813`: Bump docker/setup-qemu-action from 2 to 3
+* :ghpull:`26797`: Remove deprecated draw_gouraud_triangle
+* :ghpull:`26815`: Remove plt.Axes from tests
+* :ghpull:`26818`: Fix doc build (alternative)
+* :ghpull:`26785`: merge up v3.8.0
+* :ghpull:`25272`: Do not add padding to 3D axis limits when limits are manually set
+* :ghpull:`26798`: Remove deprecated methods and attributed in Axes3D
+* :ghpull:`26744`: Use cbook methods for string checking
+* :ghpull:`26802`: specify input range in logs when image data must be clipped
+* :ghpull:`26787`: Remove unused Axis private init helpers.
+* :ghpull:`26629`: DOC: organize figure API
+* :ghpull:`26690`: Make generated pgf code more robust against later changes of tex engine.
+* :ghpull:`26577`: Bugfix: data sanitizing for barh
+* :ghpull:`26684`: Update PR template doc links
+* :ghpull:`26686`: PR template: shorten comment and pull up top
+* :ghpull:`26670`: Added sanitize_sequence to kwargs in _preprocess_data
+* :ghpull:`26634`: [MNT] Move SubplotParams from figure to gridspec
+* :ghpull:`26609`: Cleanup AutoMinorLocator implementation.
+* :ghpull:`26293`: Added get_xmargin(), get_ymargin() and get_zmargin() and tests.
+* :ghpull:`26516`: Replace reference to %pylab by %matplotlib.
+* :ghpull:`26483`: Improve legend(loc='best') warning and test
+* :ghpull:`26482`: [DOC]: print pydata sphinx/mpl theme versions
+* :ghpull:`23787`: Use pybind11 for C/C++ extensions
+
+Issues (97):
+
+* :ghissue:`28202`: [Bug]: Qt test_ipython fails on older ipython
+* :ghissue:`28145`: [TST] Upcoming dependency test failures
+* :ghissue:`28034`: [TST] Upcoming dependency test failures
+* :ghissue:`28168`: [TST] Upcoming dependency test failures
+* :ghissue:`28040`: [Bug]: vertical_axis not respected when rotating plots interactively
+* :ghissue:`28146`: [Bug]: Useless recursive group in SVG output when using path_effects
+* :ghissue:`28067`: [Bug]: ``LinearSegmentedColormap.from_list`` does not have all type hints for argument ``colors``
+* :ghissue:`26778`: [MNT]: Numpy 2.0 support strategy
+* :ghissue:`28020`: [Bug]: imsave fails on RGBA data when origin is set to lower
+* :ghissue:`7720`: WXAgg backend not rendering nicely on retina
+* :ghissue:`28069`: [Bug]: Can't save with custom toolbar
+* :ghissue:`28005`: [Doc]: Improve contribute instructions
+* :ghissue:`22376`: [ENH]: align_titles
+* :ghissue:`5506`: Confusing status bar values in presence of multiple axes
+* :ghissue:`4284`: Twin axis message coordinates
+* :ghissue:`18940`: WxAgg backend draws the wrong size when wxpython app is high DPI aware on Windows
+* :ghissue:`27792`: [ENH]: Legend entries for boxplot
+* :ghissue:`27828`: [Bug]: ".C10" does not work as plot shorthand format spec
+* :ghissue:`27911`: redirect not working for updated contribute page
+* :ghissue:`21876`: [Doc]: redirect-from directive appears broken?
+* :ghissue:`27941`: [Bug]: ShrinkA and ShrinkB are ignored in ax.annotate(arrowprops=...)
+* :ghissue:`26477`: [ENH]: Add interpolation_stage selector for images in qt figureoptions
+* :ghissue:`363`: Enable hatches for Cairo backend
+* :ghissue:`27852`: [Bug]: matplotlib.pyplot.matshow "(first dimension of the array) are displayed horizontally" but are displayed vertically
+* :ghissue:`27400`: [Bug]: tk backend confused by presence of file named "move" in current working directory
+* :ghissue:`25882`: [Bug]: plt.hist takes significantly more time with torch and jax arrays
+* :ghissue:`25204`: [Bug]: Pyparsing warnings emitted in mathtext
+* :ghissue:`17707`: getpwuid(): uid not found: 99
+* :ghissue:`27896`: [Doc]: Empty "User guide tutorials page" in docs
+* :ghissue:`27824`: [Bug]: polygon from axvspan not correct in polar plot after set_xy
+* :ghissue:`27378`: [ENH]: Suggest 'CN' if color is an integer
+* :ghissue:`27843`: [Bug]: close_group is not called when using patheffects
+* :ghissue:`27839`: [Bug]: PathCollection using alpha ignores 'none' facecolors
+* :ghissue:`25119`: [ENH]: secondary_x/yaxis accept transform argument
+* :ghissue:`27876`: [Doc]: Fix version switcher in devdocs
+* :ghissue:`27301`: [Bug]: ``imshow`` allows RGB(A) images with ``np.nan`` values to pass
+* :ghissue:`23839`: [MNT]: Add tests to codify ``ax.clear``
+* :ghissue:`27652`: [Doc]: Low contrast on clicked links in dark mode
+* :ghissue:`27865`: [Bug]: Zoom und pan not working after writing pdf pages.
+* :ghissue:`25871`: [Bug]: Colorbar cannot be added to another figure
+* :ghissue:`8072`: plot_date() ignores timezone in matplotlib version 2.0.0
+* :ghissue:`27812`: [ENH]: Add split feature for violin plots
+* :ghissue:`27659`: [MNT]: Improve return type of ``ioff`` and ``ion`` to improve Pyright analysis of bound variables
+* :ghissue:`27805`: [Bug]: Saving a figure with indicate_inset_zoom to pdf and then pickling it causes TypeError
+* :ghissue:`27701`: [Bug]: axis set_xscale('log') interferes with set_xticks
+* :ghissue:`19807`: radius modification in contains_point function when linewidth is specified
+* :ghissue:`27762`: [Bug]: Inconsistent treatment of list of labels in ``plot`` when the input is a dataframe
+* :ghissue:`27745`: [MNT]: ``_ImageBase.draw`` and ``Axis.draw`` args and kwargs
+* :ghissue:`27782`: [Doc]: Link to citation page in read me broken
+* :ghissue:`8789`: legend handle size does not automatically scale with linewidth
+* :ghissue:`27746`: [Doc]: Citation link in the readme.md points to 404
+* :ghissue:`20853`: Add deprecation for colormaps
+* :ghissue:`26865`: [MNT]: Remove 3.7-deprecated API
+* :ghissue:`24168`: [Bug]: ``subprocess-exited-with-error`` when trying to build on M1 mac
+* :ghissue:`27727`: [Doc]: Text in the colormap normalization gallery doesn't match the code
+* :ghissue:`27635`: [Bug]: test_figure_leak_20490 repeatedly failing on CI
+* :ghissue:`14217`: [Feature request] Add a way to update the position of the Arrow patch.
+* :ghissue:`20512`: Bad boxplot legend entries
+* :ghissue:`22011`: [Bug]: subfigures messes up with fig.legend zorder
+* :ghissue:`27414`: [Bug]: Legend overlaps shaded area in fill_between with legend location "best"
+* :ghissue:`23323`: Legend with "loc=best" does not try to avoid text
+* :ghissue:`27648`: [Doc]: ``Axes.inset_axes`` is still experimental
+* :ghissue:`27277`: [Doc]: Two license pages in docs
+* :ghissue:`24648`: [Doc]: make html fail early if latex not present
+* :ghissue:`27554`: [Bug]: Large image draw performance deterioration in recent releases
+* :ghissue:`25239`: [Bug]: colors.PowerNorm results in incorrect colorbar
+* :ghissue:`13533`: Boxplotting Masked Arrays
+* :ghissue:`25967`: [Doc]: dollar_ticks example refers to unused formatter classes
+* :ghissue:`24859`: [Doc]: Document color in a consistent way, including link
+* :ghissue:`27159`: [Bug]: Meson build fails due to qhull link issue.
+* :ghissue:`25691`: [Bug]: Secondary axis does not support Transform as functions
+* :ghissue:`25860`: [Bug]: canvas pick events not working when Axes belongs to a subfigure
+* :ghissue:`27361`: [Bug]: (Tight) layout engine breaks for 3D patches
+* :ghissue:`27145`: [ENH]: Make "No artists with labels found to put in legend" a warning
+* :ghissue:`27399`: [Bug]: None in y or yerr arrays leads to TypeError when using errorbar
+* :ghissue:`13887`: Accessing default ``norm`` of a Collection removes its colors.
+* :ghissue:`26593`: [ENH]: Support SubFigure.remove()
+* :ghissue:`27329`: [Bug]: Removing a colorbar for an axes positioned in a subgridspec restores the axes' position to the wrong place.
+* :ghissue:`27214`: [Bug]: ``NavigationToolbar2QT`` should use ``@Slot`` annotation
+* :ghissue:`27146`: [ENH]: Multi hatching in ``ax.stackplot()``
+* :ghissue:`27168`: [Doc]: Instructions for editable installation on Windows potentially missing a step
+* :ghissue:`27174`: [MNT]: Build nightly wheels with NumPy nightly wheels
+* :ghissue:`25043`: [ENH]: Plotting masked arrays correctly in 3D line plot
+* :ghissue:`26990`: [Doc]: Histogram path example renders poorly in HTML
+* :ghissue:`25738`: [MNT]: Improve readability of _mathtext_data.stix_virtual_fonts table
+* :ghissue:`11129`: Highlight past winners for JDH plotting contest in docs
+* :ghissue:`24050`: No error message in matplotlib.axes.Axes.legend() if there are more labels than handles
+* :ghissue:`10922`: ENH: clear() method for widgets.RadioButtons
+* :ghissue:`18295`: How to modify ticklabels in axisartist?
+* :ghissue:`24996`: [Bug]: for non-rectilinear axes, axvline/axhline should behave as "draw a gridline at that x/y"
+* :ghissue:`26841`: [Bug]: Global legend weird behaviors
+* :ghissue:`25974`: [MNT]: Cleanup ticklabel_format(..., style=)
+* :ghissue:`26786`: Please upload new dev wheel so we pick up 3.9.dev after 3.8 release
+* :ghissue:`18052`: the limits of axes are inexact with mplot3d
+* :ghissue:`25596`: [MNT]: Consistency on Interface
+* :ghissue:`26557`: [ENH]: Nightly Python 3.12 builds
+* :ghissue:`26281`: [ENH]: Add get_xmargin, get_ymargin, get_zmargin axes methods
diff --git a/doc/users/prev_whats_new/github_stats_3.9.1.rst b/doc/users/prev_whats_new/github_stats_3.9.1.rst
new file mode 100644
index 000000000000..1bd7860546cb
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.9.1.rst
@@ -0,0 +1,192 @@
+.. _github-stats-3-9-1:
+
+GitHub statistics for 3.9.1 (Jul 04, 2024)
+==========================================
+
+GitHub statistics for 2024/05/15 (tag: v3.9.0) - 2024/07/04
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 30 issues and merged 111 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/91?closed=1>`__
+
+The following 29 authors contributed 184 commits.
+
+* Antony Lee
+* Brigitta Sipőcz
+* Christian Mattsson
+* dale
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Eytan Adler
+* Greg Lucas
+* haaris
+* hannah
+* Ian Thomas
+* Illviljan
+* K900
+* Kyle Sunden
+* Lumberbot (aka Jack)
+* malhar2460
+* Matthew Feickert
+* Melissa Weber Mendonça
+* MischaMegens2
+* Oscar Gustafsson
+* Ruth Comer
+* Scott Shambaugh
+* simond07
+* SjoerdB93
+* Takumasa N
+* Takumasa N.
+* Takumasa Nakamura
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (111):
+
+* :ghpull:`28507`: Backport PR #28430 on branch v3.9.x (Fix pickling of AxesWidgets.)
+* :ghpull:`28506`: Backport PR #28451 on branch v3.9.x (Fix GTK cairo backends)
+* :ghpull:`28430`: Fix pickling of AxesWidgets.
+* :ghpull:`25861`: Fix Hidpi scaling for GTK4Cairo
+* :ghpull:`28451`: Fix GTK cairo backends
+* :ghpull:`28499`: Backport PR #28498 on branch v3.9.x (Don't fail if we can't query system fonts on macOS)
+* :ghpull:`28498`: Don't fail if we can't query system fonts on macOS
+* :ghpull:`28491`: Backport PR #28487 on branch v3.9.x (Fix autoscaling with axhspan)
+* :ghpull:`28490`: Backport PR #28486 on branch v3.9.x (Fix CompositeGenericTransform.contains_branch_seperately)
+* :ghpull:`28487`: Fix autoscaling with axhspan
+* :ghpull:`28486`: Fix CompositeGenericTransform.contains_branch_seperately
+* :ghpull:`28483`: Backport PR #28393 on branch v3.9.x (Make sticky edges only apply if the sticky edge is the most extreme limit point)
+* :ghpull:`28482`: Backport PR #28473 on branch v3.9.x (Do not lowercase module:// backends)
+* :ghpull:`28393`: Make sticky edges only apply if the sticky edge is the most extreme limit point
+* :ghpull:`28473`: Do not lowercase module:// backends
+* :ghpull:`28480`: Backport PR #28474 on branch v3.9.x (Fix typing and docs for containers)
+* :ghpull:`28479`: Backport PR #28397 (FIX: stale root Figure when adding/updating subfigures)
+* :ghpull:`28474`: Fix typing and docs for containers
+* :ghpull:`28472`: Backport PR #28289 on branch v3.9.x (Promote mpltype Sphinx role to a public extension)
+* :ghpull:`28471`: Backport PR #28342 on branch v3.9.x (DOC: Document the parameter *position* of apply_aspect() as internal)
+* :ghpull:`28470`: Backport PR #28398 on branch v3.9.x (Add GIL Release to flush_events in macosx backend)
+* :ghpull:`28469`: Backport PR #28355 on branch v3.9.x (MNT: Re-add matplotlib.cm.get_cmap)
+* :ghpull:`28397`: FIX: stale root Figure when adding/updating subfigures
+* :ghpull:`28289`: Promote mpltype Sphinx role to a public extension
+* :ghpull:`28342`: DOC: Document the parameter *position* of apply_aspect() as internal
+* :ghpull:`28398`: Add GIL Release to flush_events in macosx backend
+* :ghpull:`28355`: MNT: Re-add matplotlib.cm.get_cmap
+* :ghpull:`28468`: Backport PR #28465 on branch v3.9.x (Fix pickling of SubFigures)
+* :ghpull:`28465`: Fix pickling of SubFigures
+* :ghpull:`28462`: Backport PR #28440 on branch v3.9.x (DOC: Add note about simplification of to_polygons)
+* :ghpull:`28460`: Backport PR #28459 on branch v3.9.x (DOC: Document kwargs scope for tick setter functions)
+* :ghpull:`28461`: Backport PR #28458 on branch v3.9.x (Correct numpy dtype comparisons in image_resample)
+* :ghpull:`28440`: DOC: Add note about simplification of to_polygons
+* :ghpull:`28458`: Correct numpy dtype comparisons in image_resample
+* :ghpull:`28459`: DOC: Document kwargs scope for tick setter functions
+* :ghpull:`28450`: Backport of 28371 and 28411
+* :ghpull:`28446`: Backport PR #28403 on branch v3.9.x (FIX: Autoscale support in add_collection3d for Line3DCollection and Poly3DCollection
+* :ghpull:`28445`: Backport PR #28403 on branch v3.9.x (FIX: Autoscale support in add_collection3d for Line3DCollection and Poly3DCollection)
+* :ghpull:`28438`: Backport PR #28436 on branch v3.9.x (Fix ``is_color_like`` for 2-tuple of strings and fix ``to_rgba`` for ``(nth_color, alpha)``)
+* :ghpull:`28403`: FIX: Autoscale support in add_collection3d for Line3DCollection and Poly3DCollection
+* :ghpull:`28443`: Backport PR #28441 on branch v3.9.x (MNT: Update basic units example to work with numpy 2.0)
+* :ghpull:`28441`: MNT: Update basic units example to work with numpy 2.0
+* :ghpull:`28436`: Fix ``is_color_like`` for 2-tuple of strings and fix ``to_rgba`` for ``(nth_color, alpha)``
+* :ghpull:`28426`: Backport PR #28425 on branch v3.9.x (Fix Circle yaml line length)
+* :ghpull:`28427`: Fix circleci yaml
+* :ghpull:`28425`: Fix Circle yaml line length
+* :ghpull:`28422`: Backport PR #28401 on branch v3.9.x (FIX: Fix text wrapping)
+* :ghpull:`28424`: Backport PR #28423 on branch v3.9.x (Update return type for Axes.axhspan and Axes.axvspan)
+* :ghpull:`28423`: Update return type for Axes.axhspan and Axes.axvspan
+* :ghpull:`28401`: FIX: Fix text wrapping
+* :ghpull:`28419`: Backport PR #28414 on branch v3.9.x (Clean up obsolete widget code)
+* :ghpull:`28411`: Bump the actions group with 3 updates
+* :ghpull:`28414`: Clean up obsolete widget code
+* :ghpull:`28415`: Backport PR #28413 on branch v3.9.x (CI: update action that got moved org)
+* :ghpull:`28413`: CI: update action that got moved org
+* :ghpull:`28392`: Backport PR #28388 on branch v3.9.x (Allow duplicate (name, value) entry points for backends)
+* :ghpull:`28362`: Backport PR #28337 on branch v3.9.x (Bump the actions group across 1 directory with 3 updates)
+* :ghpull:`28388`: Allow duplicate (name, value) entry points for backends
+* :ghpull:`28389`: Backport PR #28380 on branch v3.9.x (Remove outdated docstring section in RendererBase.draw_text.)
+* :ghpull:`28380`: Remove outdated docstring section in RendererBase.draw_text.
+* :ghpull:`28385`: Backport PR #28377 on branch v3.9.x (DOC: Clarify scope of wrap.)
+* :ghpull:`28377`: DOC: Clarify scope of wrap.
+* :ghpull:`28368`: Backport PR #28359 on branch v3.9.x (Document that axes unsharing is impossible.)
+* :ghpull:`28359`: Document that axes unsharing is impossible.
+* :ghpull:`28337`: Bump the actions group across 1 directory with 3 updates
+* :ghpull:`28351`: Backport PR #28307 on branch v3.9.x (DOC: New color line by value example)
+* :ghpull:`28307`: DOC: New color line by value example
+* :ghpull:`28339`: Backport PR #28336 on branch v3.9.x (DOC: Add version warning banner for docs versions different from stable)
+* :ghpull:`28336`: DOC: Add version warning banner for docs versions different from stable
+* :ghpull:`28334`: Backport PR #28332 on branch v3.9.x (Call IPython.enable_gui when install repl displayhook)
+* :ghpull:`28332`: Call IPython.enable_gui when install repl displayhook
+* :ghpull:`28331`: Backport PR #28329 on branch v3.9.x (DOC: Add example for 3D intersecting planes)
+* :ghpull:`28329`: DOC: Add example for 3D intersecting planes
+* :ghpull:`28327`: Backport PR #28292 on branch v3.9.x (Resolve MaxNLocator IndexError when no large steps)
+* :ghpull:`28292`: Resolve MaxNLocator IndexError when no large steps
+* :ghpull:`28326`: Backport PR #28041 on branch v3.9.x ([BUG]: Shift box_aspect according to vertical_axis)
+* :ghpull:`28041`: [BUG]: Shift box_aspect according to vertical_axis
+* :ghpull:`28320`: Backport PR #27001 on branch v3.9.x ([TYP] Add overload of ``pyplot.subplots``)
+* :ghpull:`27001`: [TYP] Add overload of ``pyplot.subplots``
+* :ghpull:`28318`: Backport PR #28273 on branch v3.9.x (CI: Add GitHub artifact attestations to package distribution)
+* :ghpull:`28273`: CI: Add GitHub artifact attestations to package distribution
+* :ghpull:`28305`: Backport PR #28303 on branch v3.9.x (Removed drawedges repeated definition from function doc string)
+* :ghpull:`28303`: Removed drawedges repeated definition from function doc string
+* :ghpull:`28299`: Backport PR #28297 on branch v3.9.x (Solved #28296 Added missing comma)
+* :ghpull:`28297`: Solved #28296 Added missing comma
+* :ghpull:`28294`: Backport PR #28261 on branch v3.9.x (Correct roll angle units, issue #28256)
+* :ghpull:`28261`: Correct roll angle units, issue #28256
+* :ghpull:`28283`: Backport PR #28280 on branch v3.9.x (DOC: Add an example for 2D images in 3D plots)
+* :ghpull:`28280`: DOC: Add an example for 2D images in 3D plots
+* :ghpull:`28278`: Backport PR #28272 on branch v3.9.x (BLD: Move macos builders from 11 to 12)
+* :ghpull:`28277`: Backport PR #28274 on branch v3.9.x (ci: Remove deprecated codeql option)
+* :ghpull:`28272`: BLD: Move macos builders from 11 to 12
+* :ghpull:`28274`: ci: Remove deprecated codeql option
+* :ghpull:`28270`: Backport PR #28269 on branch v3.9.x (Handle GetForegroundWindow() returning NULL.)
+* :ghpull:`28269`: Handle GetForegroundWindow() returning NULL.
+* :ghpull:`28266`: Backport PR #28257 on branch v3.9.x (Clean up some Meson-related leftovers)
+* :ghpull:`28257`: Clean up some Meson-related leftovers
+* :ghpull:`28255`: Backport PR #28254 on branch v3.9.x ([DOC] plot type heading consistency)
+* :ghpull:`28254`: [DOC] plot type heading consistency
+* :ghpull:`28253`: Backport PR #28252 on branch v3.9.x (DOC: Flip the imshow plot types example to match the other examples)
+* :ghpull:`28252`: DOC: Flip the imshow plot types example to match the other examples
+* :ghpull:`28247`: Backport PR #28230 on branch v3.9.x (Add extra imports to improve typing)
+* :ghpull:`28230`: Add extra imports to improve typing
+* :ghpull:`28246`: Backport PR #28243 on branch v3.9.x (DOC: Add more 3D plot types)
+* :ghpull:`28243`: DOC: Add more 3D plot types
+* :ghpull:`28241`: Backport PR #28219 on branch v3.9.x (Bump the actions group with 2 updates)
+* :ghpull:`28219`: Bump the actions group with 2 updates
+* :ghpull:`28237`: Backport PR #28233 on branch v3.9.x (CI: Fix font install on macOS/Homebrew)
+* :ghpull:`28236`: Backport PR #28231 on branch v3.9.x (DOC: we do not need the blit call in on_draw)
+* :ghpull:`28233`: CI: Fix font install on macOS/Homebrew
+* :ghpull:`28231`: DOC: we do not need the blit call in on_draw
+
+Issues (30):
+
+* :ghissue:`22482`: [ENH]: pickle (or save) matplotlib figure with insteractive slider
+* :ghissue:`25847`: [Bug]: Graph gets cut off with scaled resolution using gtk4cairo backend
+* :ghissue:`28341`: [Bug]: Incorrect X-axis scaling with date values
+* :ghissue:`28383`: [Bug]: axvspan no longer participating in limit calculations
+* :ghissue:`28223`: [Bug]: Inconsistent Visualization of Intervals in ax.barh for Different Duration Widths
+* :ghissue:`28432`: [Bug]: Backend name specified as module gets lowercased since 3.9
+* :ghissue:`28467`: [Bug]: Incorrect type stub for ``ErrorbarContainer``'s ``lines`` attribute.
+* :ghissue:`28384`: [Bug]: subfigure artists not drawn interactively
+* :ghissue:`28234`: [Bug]: mpltype custom role breaks sphinx build for third-party projects that have intersphinx links to matplotlib
+* :ghissue:`28464`: [Bug]: figure with subfigures cannot be pickled
+* :ghissue:`28448`: [Bug]: Making an RGB image from pickled data throws error
+* :ghissue:`23317`: [Bug]: ``add_collection3d`` does not update view limits
+* :ghissue:`17130`: autoscale_view is not working with Line3DCollection
+* :ghissue:`28434`: [Bug]: Setting exactly 2 colors with tuple in ``plot`` method gives confusing error
+* :ghissue:`28417`: [Doc]: axhspan and axvspan now return Rectangles, not Polygons.
+* :ghissue:`28378`: [ENH]: Switch text wrapping boundary to subfigure
+* :ghissue:`28404`: [Doc]: matplotlib.widgets.CheckButtons no longer has .rectangles attribute, needs removed.
+* :ghissue:`28367`: [Bug]: Backend entry points can be erroneously duplicated
+* :ghissue:`28358`: [Bug]: Labels don't get wrapped when set_yticks() is used in subplots
+* :ghissue:`28374`: [Bug]: rcParam ``tk.window_focus: True`` is causes crash on Linux in version 3.9.0.
+* :ghissue:`28324`: [Bug]: show(block=False) freezes
+* :ghissue:`28239`: [Doc]: Gallery example showing 3D slice planes
+* :ghissue:`27603`: [Bug]: _raw_ticker() istep
+* :ghissue:`24328`: [Bug]: class Axes3D.set_box_aspect() sets wrong aspect ratios when Axes3D.view_init( vertical_axis='y') is enabled.
+* :ghissue:`28221`: [Doc]: drawedges attribute described twice in matplotlib.colorbar documentation
+* :ghissue:`28296`: [Doc]: Missing comma
+* :ghissue:`28256`: [Bug]: axes3d.py's _on_move() converts the roll angle to radians, but then passes it to view_init() as if it were still in degrees
+* :ghissue:`28267`: [Bug]: for Python 3.11.9 gor ValueError: PyCapsule_New called with null pointer
+* :ghissue:`28022`: [Bug]: Type of Axes is unknown pyright
+* :ghissue:`28002`: Segfault from path editor example with QtAgg
diff --git a/doc/users/prev_whats_new/github_stats_3.9.2.rst b/doc/users/prev_whats_new/github_stats_3.9.2.rst
new file mode 100644
index 000000000000..542e0d81ce32
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.9.2.rst
@@ -0,0 +1,96 @@
+.. _github-stats-3-9-2:
+
+GitHub statistics for 3.9.2 (Aug 12, 2024)
+==========================================
+
+GitHub statistics for 2024/07/04 (tag: v3.9.1) - 2024/08/12
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 9 issues and merged 45 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/93?closed=1>`__
+
+The following 20 authors contributed 67 commits.
+
+* Adam J. Stewart
+* Anthony Lee
+* Caitlin Hathaway
+* ClarkeAC
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Filippo Balzaretti
+* Greg Lucas
+* hannah
+* Ian Thomas
+* Jody Klymak
+* Kyle Sunden
+* Oscar Gustafsson
+* Randolf Scholz
+* Refael Ackermann
+* Ruth Comer
+* Scott Shambaugh
+* Sean Smith
+* Thomas A Caswell
+* Tim Hoffmann
+
+GitHub issues and pull requests:
+
+Pull Requests (45):
+
+* :ghpull:`28687`: BLD: Include MSVCP140 runtime statically
+* :ghpull:`28679`: Run delvewheel with path to required msvcp140.dll
+* :ghpull:`28695`: Backport PR #27797 on branch v3.9.x (DOC: Use video files for saving animations)
+* :ghpull:`28688`: Backport PR #28293 and #28668: Enable 3.13 wheels and bump cibuildwheel
+* :ghpull:`27797`: DOC: Use video files for saving animations
+* :ghpull:`28692`: Backport PR #28632 on branch v3.9.x (DOC: Tell sphinx-gallery to link mpl_toolkits from our build)
+* :ghpull:`28632`: DOC: Tell sphinx-gallery to link mpl_toolkits from our build
+* :ghpull:`28668`: Bump the actions group with 2 updates
+* :ghpull:`28686`: Backport PR #28682 on branch v3.9.x (Fix warnings from mingw compilers)
+* :ghpull:`28682`: Fix warnings from mingw compilers
+* :ghpull:`28676`: Backport PR #28577 on branch v3.9.x (Copy all internals from initial Tick to lazy ones)
+* :ghpull:`28577`: Copy all internals from initial Tick to lazy ones
+* :ghpull:`28674`: Backport PR #28650 on branch v3.9.x (remove out of date todos on animation.py)
+* :ghpull:`28650`: remove out of date todos on animation.py
+* :ghpull:`28656`: Backport PR #28649 on branch v3.9.x (FIX: improve formatting of image values in cases of singular norms)
+* :ghpull:`28665`: Backport PR #28546 on branch v3.9.x (DOC: Clarify/simplify example of multiple images with one colorbar)
+* :ghpull:`28649`: FIX: improve formatting of image values in cases of singular norms
+* :ghpull:`28635`: BLD: windows wheels
+* :ghpull:`28645`: Backport PR #28644 on branch v3.9.x (DOC: Fix matching for version switcher)
+* :ghpull:`28640`: Backport PR #28634 on branch v3.9.x (Closed open div tag in color.ColorMap._repr_html_)
+* :ghpull:`28634`: Closed open div tag in color.ColorMap._repr_html_
+* :ghpull:`28636`: Backport PR #28625 on branch v3.9.x (added typing_extensions.Self to _AxesBase.twinx)
+* :ghpull:`28625`: added typing_extensions.Self to _AxesBase.twinx
+* :ghpull:`28622`: Backport PR #28621 on branch v3.9.x (TYP: Fix a typo in animation.pyi)
+* :ghpull:`28621`: TYP: Fix a typo in animation.pyi
+* :ghpull:`28605`: Backport PR #28604 on branch v3.9.x (cycler signature update.)
+* :ghpull:`28604`: cycler signature update.
+* :ghpull:`28598`: Pin PyQt6 back on Ubuntu 20.04
+* :ghpull:`28596`: Backport PR #28518 on branch v3.9.x ([TYP] Fix overload of ``pyplot.subplots``)
+* :ghpull:`28518`: [TYP] Fix overload of ``pyplot.subplots``
+* :ghpull:`28591`: Backport PR #28580 on branch v3.9.x (Bump actions/attest-build-provenance from 1.3.2 to 1.3.3 in the actions group)
+* :ghpull:`28580`: Bump actions/attest-build-provenance from 1.3.2 to 1.3.3 in the actions group
+* :ghpull:`28586`: Backport PR #28582 on branch v3.9.x (FIX: make sticky edge tolerance relative to data range)
+* :ghpull:`28582`: FIX: make sticky edge tolerance relative to data range
+* :ghpull:`28572`: Backport PR #28571 on branch v3.9.x (DOC: Add version directive to hatch parameter in stackplot)
+* :ghpull:`28571`: DOC: Add version directive to hatch parameter in stackplot
+* :ghpull:`28564`: Backport PR #28534 on branch v3.9.x ([BLD] Fix WSL build warning)
+* :ghpull:`28563`: Backport PR #28526 on branch v3.9.x (Bump pypa/cibuildwheel from 2.19.1 to 2.19.2 in the actions group)
+* :ghpull:`28534`: [BLD] Fix WSL build warning
+* :ghpull:`28526`: Bump pypa/cibuildwheel from 2.19.1 to 2.19.2 in the actions group
+* :ghpull:`28552`: Backport PR #28541 on branch v3.9.x (MNT: be more careful about disk I/O failures when writing font cache)
+* :ghpull:`28541`: MNT: be more careful about disk I/O failures when writing font cache
+* :ghpull:`28524`: Backport PR #28523 on branch v3.9.x (Fix value error when set widget size to zero while using FigureCanvasQT )
+* :ghpull:`28523`: Fix value error when set widget size to zero while using FigureCanvasQT
+* :ghpull:`28519`: Backport PR #28517 on branch v3.9.x (DOC: better cross referencing for animations)
+
+Issues (9):
+
+* :ghissue:`28551`: [Bug]: Possible issue with Matplotlib 3.9.1 wheel on Windows only
+* :ghissue:`28250`: [Doc]: Sphinx gallery links mispointed for Axes3D methods
+* :ghissue:`28574`: [Bug]: Nondeterministic behavior with subplot spacing and constrained layout
+* :ghissue:`28626`: [Doc]: Remove old TODO's from animation.py
+* :ghissue:`28648`: [Bug]: format_image_data on an image of only zeros produces a large number of zeros
+* :ghissue:`28624`: [Bug]: Bad type hint in ``_AxesBase.twinx()``
+* :ghissue:`28567`: [Bug]: sticky edge related changes for datetime plots
+* :ghissue:`28533`: [Doc]: Stackplot hatch functionality has version dependencies
+* :ghissue:`28538`: [Bug]: Permission denied when importing matplotlib.pyplot
diff --git a/doc/users/prev_whats_new/github_stats_3.9.3.rst b/doc/users/prev_whats_new/github_stats_3.9.3.rst
new file mode 100644
index 000000000000..06f0232c338c
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.9.3.rst
@@ -0,0 +1,108 @@
+.. _github-stats-3-9-3:
+
+GitHub statistics for 3.9.3 (Nov 30, 2024)
+==========================================
+
+GitHub statistics for 2024/08/12 (tag: v3.9.2) - 2024/11/30
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 6 issues and merged 62 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/95?closed=1>`__
+
+The following 18 authors contributed 90 commits.
+
+* Andresporcruz
+* Antony Lee
+* Charlie LeWarne
+* dependabot[bot]
+* Elliott Sales de Andrade
+* Gavin S
+* Greg Lucas
+* hannah
+* Kyle Sunden
+* Kyra Cho
+* kyracho
+* Lumberbot (aka Jack)
+* Michael Hinton
+* Oscar Gustafsson
+* Ruth Comer
+* Thomas A Caswell
+* Tim Hoffmann
+* vittoboa
+
+GitHub issues and pull requests:
+
+Pull Requests (62):
+
+* :ghpull:`29195`: Backport PR #29191 on branch v3.9.x (ci: Simplify 3.13t test setup)
+* :ghpull:`29191`: ci: Simplify 3.13t test setup
+* :ghpull:`29176`: Backport PR #29148 on branch v3.9.x (Don't fail on equal-but-differently-named cmaps in qt figureoptions.)
+* :ghpull:`29148`: Don't fail on equal-but-differently-named cmaps in qt figureoptions.
+* :ghpull:`29165`: Backport PR #29153 on branch v3.9.x (Bump codecov/codecov-action from 4 to 5 in the actions group)
+* :ghpull:`29153`: Bump codecov/codecov-action from 4 to 5 in the actions group
+* :ghpull:`29149`: Backport CI config updates to v3.9.x
+* :ghpull:`29121`: Backport PR #29120 on branch v3.9.x (DOC: Switch nested pie example from cmaps to color_sequences)
+* :ghpull:`29071`: Bump pypa/gh-action-pypi-publish from 1.10.3 to 1.11.0 in the actions group
+* :ghpull:`29046`: Backport PR #28981 on branch v3.9.x (FIX: macos: Use standard NSApp run loop in our input hook)
+* :ghpull:`28981`: FIX: macos: Use standard NSApp run loop in our input hook
+* :ghpull:`29041`: Backport PR #29035 on branch v3.9.x (FIX: Don't set_wmclass on GTK3)
+* :ghpull:`29035`: FIX: Don't set_wmclass on GTK3
+* :ghpull:`29037`: Backport PR #29036 on branch v3.9.x (Don't pass redundant inline=True to example clabel() calls.)
+* :ghpull:`29032`: Backport PR #27569 on branch v3.9.x (DOC: initial tags for statistics section of gallery)
+* :ghpull:`29034`: Backport PR #29031 on branch v3.9.x (DOC: Fix copy-paste typo in ColorSequenceRegistry)
+* :ghpull:`29031`: DOC: Fix copy-paste typo in ColorSequenceRegistry
+* :ghpull:`29015`: Backport PR #29014 on branch v3.9.x (FIX: fake out setuptools scm in tox on ci)
+* :ghpull:`29014`: FIX: fake out setuptools scm in tox on ci
+* :ghpull:`29010`: Backport PR #29005 on branch v3.9.x (DOC: Update meson-python intersphinx link)
+* :ghpull:`29006`: Backport PR #28993 on branch v3.9.x (FIX: contourf hatches use multiple edgecolors)
+* :ghpull:`28993`: FIX: contourf hatches use multiple edgecolors
+* :ghpull:`28988`: Backport PR #28987 on branch v3.9.x (Fix: Do not use numeric tolerances for axline special cases)
+* :ghpull:`28947`: Backport PR #28925 on branch v3.9.x (TST: handle change in pytest.importorskip behavior)
+* :ghpull:`28989`: Backport PR #28972 on branch v3.9.x (Switch macOS 12 runner images to macOS 13)
+* :ghpull:`28972`: Switch macOS 12 runner images to macOS 13
+* :ghpull:`28987`: Fix: Do not use numeric tolerances for axline special cases
+* :ghpull:`28954`: Backport PR #28952 on branch v3.9.x (BLD: update trove metadata to support py3.13)
+* :ghpull:`28952`: BLD: update trove metadata to support py3.13
+* :ghpull:`28887`: Backport PR #28883 on branch v3.9.x (Only check X11 when running Tkinter tests)
+* :ghpull:`28926`: Backport PR #28689 on branch v3.9.x (ci: Enable testing on Python 3.13)
+* :ghpull:`28925`: TST: handle change in pytest.importorskip behavior
+* :ghpull:`28945`: Backport PR #28943 on branch v3.9.x (DOC: Clarify the returned line of axhline()/axvline())
+* :ghpull:`28939`: Backport PR #28900 on branch v3.9.x (DOC: Improve fancybox demo)
+* :ghpull:`28900`: DOC: Improve fancybox demo
+* :ghpull:`28902`: Backport PR #28881 on branch v3.9.x (Fix ``axline`` for slopes <= 1E-8. Closes #28386)
+* :ghpull:`28431`: Fix ``axline`` for slopes < 1E-8
+* :ghpull:`28881`: Fix ``axline`` for slopes <= 1E-8. Closes #28386
+* :ghpull:`28883`: Only check X11 when running Tkinter tests
+* :ghpull:`28859`: Backport PR #28858 on branch v3.9.x (Fix flaky labelcolor tests)
+* :ghpull:`28858`: Fix flaky labelcolor tests
+* :ghpull:`28839`: Backport PR #28836 on branch v3.9.x (MNT: Use __init__ parameters of font properties)
+* :ghpull:`28836`: MNT: Use __init__ parameters of font properties
+* :ghpull:`28828`: Backport PR #28818 on branch v3.9.x (Resolve configdir so that it's not a symlink when is_dir() is called)
+* :ghpull:`28818`: Resolve configdir so that it's not a symlink when is_dir() is called
+* :ghpull:`28811`: Backport PR #28810 on branch v3.9.x (Document how to obtain sans-serif usetex math.)
+* :ghpull:`28806`: Backport PR #28805 on branch v3.9.x (add brackets to satisfy the new sequence requirement)
+* :ghpull:`28802`: Backport PR #28798 on branch v3.9.x (DOC: Correctly list modules that have been internalized)
+* :ghpull:`28791`: Backport PR #28790 on branch v3.9.x (DOC: Fix duplicate Figure.set_dpi entry)
+* :ghpull:`28787`: Backport PR #28706 on branch v3.9.x (Add Returns info to to_jshtml docstring)
+* :ghpull:`28706`: Add Returns info to to_jshtml docstring
+* :ghpull:`28751`: Backport PR #28271 on branch v3.9.x (Fix draggable legend disappearing when picking while use_blit=True)
+* :ghpull:`28271`: Fix draggable legend disappearing when picking while use_blit=True
+* :ghpull:`28747`: Backport PR #28743 on branch v3.9.x (Minor fixes in ticker docs)
+* :ghpull:`28743`: Minor fixes in ticker docs
+* :ghpull:`28738`: Backport PR #28737 on branch v3.9.x (TST: Fix image comparison directory for test_striped_lines)
+* :ghpull:`28740`: Backport PR #28739 on branch v3.9.x (Tweak interactivity docs wording (and fix capitalization).)
+* :ghpull:`28737`: TST: Fix image comparison directory for test_striped_lines
+* :ghpull:`28733`: Backport PR #28732 on branch v3.9.x (Renames the minumumSizeHint method to minimumSizeHint)
+* :ghpull:`28732`: Renames the minumumSizeHint method to minimumSizeHint
+* :ghpull:`28689`: ci: Enable testing on Python 3.13
+* :ghpull:`28724`: Backport fixes from #28711
+
+Issues (6):
+
+* :ghissue:`28960`: [Bug]: High CPU utilization of the macosx backend
+* :ghissue:`28990`: [Bug]: no longer able to set multiple hatch colors
+* :ghissue:`28870`: [Bug]: axline doesn't work with some axes scales
+* :ghissue:`28386`: [Bug]: Minor issue - Drawing an axline sets slopes less than 1E-8 to 0
+* :ghissue:`28817`: [Bug]: ``~/.config/matplotlib`` is never used because ``~/.config`` is a symlink
+* :ghissue:`28716`: Size hint method in Qt backend should be named ``minimumSizeHint``, not ``minumumSizeHint``
diff --git a/doc/users/prev_whats_new/github_stats_3.9.4.rst b/doc/users/prev_whats_new/github_stats_3.9.4.rst
new file mode 100644
index 000000000000..a821d2fc1f57
--- /dev/null
+++ b/doc/users/prev_whats_new/github_stats_3.9.4.rst
@@ -0,0 +1,30 @@
+.. _github-stats-3-9-4:
+
+GitHub statistics for 3.9.4 (Dec 13, 2024)
+==========================================
+
+GitHub statistics for 2024/11/30 (tag: v3.9.3) - 2024/12/13
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed 2 issues and merged 3 pull requests.
+The full list can be seen `on GitHub <https://github.com/matplotlib/matplotlib/milestone/100?closed=1>`__
+
+The following 3 authors contributed 15 commits.
+
+* Elliott Sales de Andrade
+* Scott Shambaugh
+* Victor Liu
+
+GitHub issues and pull requests:
+
+Pull Requests (3):
+
+* :ghpull:`29297`: Backport PR #29295 on branch v3.9.x (BLD: Pin meson-python to <0.17.0)
+* :ghpull:`29295`: BLD: Pin meson-python to <0.17.0
+* :ghpull:`29175`: addressing issue #29156, converted ps to array before slicing
+
+Issues (2):
+
+* :ghissue:`29229`: [Bug]: Icons do not work with GTK
+* :ghissue:`29156`: [Bug]: Poly3DCollection initialization cannot properly handle parameter verts when it is a list of nested tuples and shade is False
diff --git a/doc/users/prev_whats_new/whats_new_0.98.4.rst b/doc/users/prev_whats_new/whats_new_0.98.4.rst
new file mode 100644
index 000000000000..88d376cf79bf
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_0.98.4.rst
@@ -0,0 +1,365 @@
+.. _whats-new-0-98-4:
+
+What's new in Matplotlib 0.98.4
+===============================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+
+It's been four months since the last matplotlib release, and there are
+a lot of new features and bug-fixes.
+
+Thanks to Charlie Moad for testing and preparing the source release,
+including binaries for OS X and Windows for python 2.4 and 2.5 (2.6
+and 3.0 will not be available until numpy is available on those
+releases).  Thanks to the many developers who contributed to this
+release, with contributions from Jae-Joon Lee, Michael Droettboom,
+Ryan May, Eric Firing, Manuel Metz, Jouni K. Seppänen, Jeff Whitaker,
+Darren Dale, David Kaplan, Michiel de Hoon and many others who
+submitted patches
+
+.. _legend-refactor:
+
+Legend enhancements
+-------------------
+
+Jae-Joon has rewritten the legend class, and added support for
+multiple columns and rows, as well as fancy box drawing.  See
+:func:`~matplotlib.pyplot.legend` and
+:class:`matplotlib.legend.Legend`.
+
+.. plot::
+
+    ax = plt.subplot()
+    t1 = np.arange(0.0, 1.0, 0.01)
+    for n in [1, 2, 3, 4]:
+        plt.plot(t1, t1**n, label=f"n={n}")
+
+    leg = plt.legend(loc='best', ncol=2, mode="expand", shadow=True, fancybox=True)
+    leg.get_frame().set_alpha(0.5)
+
+    plt.show()
+
+
+.. _fancy-annotations:
+
+Fancy annotations and arrows
+----------------------------
+
+Jae-Joon has added lots of support to annotations for drawing fancy
+boxes and connectors in annotations.  See
+:func:`~matplotlib.pyplot.annotate` and
+:class:`~matplotlib.patches.BoxStyle`,
+:class:`~matplotlib.patches.ArrowStyle`, and
+:class:`~matplotlib.patches.ConnectionStyle`.
+
+.. plot::
+
+    import matplotlib.patches as mpatch
+    import matplotlib.pyplot as plt
+
+    figheight = 4
+    fig = plt.figure(figsize=(4.5, figheight), dpi=80)
+    fontsize = 0.2 * fig.dpi
+
+    def make_boxstyles(ax):
+        styles = mpatch.BoxStyle.get_styles()
+
+        for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
+            ax.text(0.5, (float(len(styles)) - 0.5 - i)/len(styles), stylename,
+                      ha="center",
+                      size=fontsize,
+                      transform=ax.transAxes,
+                      bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+
+    def make_arrowstyles(ax):
+        styles = mpatch.ArrowStyle.get_styles()
+
+        ax.set_xlim(0, 4)
+        ax.set_ylim(0, figheight*2)
+
+        for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
+            y = (float(len(styles)) - 0.25 - i)  # /figheight
+            p = mpatch.Circle((3.2, y), 0.2, fc="w")
+            ax.add_patch(p)
+
+            ax.annotate(stylename, (3.2, y),
+                        (2., y),
+                        # xycoords="figure fraction", textcoords="figure fraction",
+                        ha="right", va="center",
+                        size=fontsize,
+                        arrowprops=dict(arrowstyle=stylename,
+                                        patchB=p,
+                                        shrinkA=5,
+                                        shrinkB=5,
+                                        fc="w", ec="k",
+                                        connectionstyle="arc3,rad=-0.05",
+                                        ),
+                        bbox=dict(boxstyle="square", fc="w"))
+
+        ax.xaxis.set_visible(False)
+        ax.yaxis.set_visible(False)
+
+
+    ax1 = fig.add_subplot(121, frameon=False, xticks=[], yticks=[])
+    make_boxstyles(ax1)
+
+    ax2 = fig.add_subplot(122, frameon=False, xticks=[], yticks=[])
+    make_arrowstyles(ax2)
+
+
+    plt.show()
+
+
+Native OS X backend
+-------------------
+
+Michiel de Hoon has provided a native Mac OSX backend that is almost
+completely implemented in C. The backend can therefore use Quartz
+directly and, depending on the application, can be orders of magnitude
+faster than the existing backends. In addition, no third-party
+libraries are needed other than Python and NumPy. The backend is
+interactive from the usual terminal application on Mac using regular
+Python. It hasn't been tested with ipython yet, but in principle it
+should to work there as well.  Set 'backend : macosx' in your
+matplotlibrc file, or run your script with::
+
+    > python myfile.py -dmacosx
+
+
+.. _psd-amplitude:
+
+psd amplitude scaling
+---------------------
+
+Ryan May did a lot of work to rationalize the amplitude scaling of
+:func:`~matplotlib.pyplot.psd` and friends.  See
+:doc:`/gallery/lines_bars_and_markers/psd_demo`.
+The changes should increase MATLAB
+compatibility and increase scaling options.
+
+.. _fill-between:
+
+Fill between
+------------
+
+Added a :func:`~matplotlib.pyplot.fill_between` function to make it
+easier to do shaded region plots in the presence of masked data.  You
+can pass an *x* array and a *ylower* and *yupper* array to fill
+between, and an optional *where* argument which is a logical mask
+where you want to do the filling.
+
+.. plot::
+
+    x = np.arange(-5, 5, 0.01)
+    y1 = -5*x*x + x + 10
+    y2 = 5*x*x + x
+
+    fig, ax = plt.subplots()
+    ax.plot(x, y1, x, y2, color='black')
+    ax.fill_between(x, y1, y2, where=(y2 > y1), facecolor='yellow', alpha=0.5)
+    ax.fill_between(x, y1, y2, where=(y2 <= y1), facecolor='red', alpha=0.5)
+    ax.set_title('Fill Between')
+
+    plt.show()
+
+
+Lots more
+---------
+
+Here are the 0.98.4 notes from the CHANGELOG::
+
+    Added mdehoon's native macosx backend from sf patch 2179017 - JDH
+
+    Removed the prints in the set_*style commands.  Return the list of
+    pretty-printed strings instead - JDH
+
+    Some of the changes Michael made to improve the output of the
+    property tables in the rest docs broke of made difficult to use
+    some of the interactive doc helpers, e.g., setp and getp.  Having all
+    the rest markup in the ipython shell also confused the docstrings.
+    I added a new rc param docstring.harcopy, to format the docstrings
+    differently for hardcopy and other use.  The ArtistInspector
+    could use a little refactoring now since there is duplication of
+    effort between the rest out put and the non-rest output - JDH
+
+    Updated spectral methods (psd, csd, etc.) to scale one-sided
+    densities by a factor of 2 and, optionally, scale all densities by
+    the sampling frequency.  This gives better MATLAB
+    compatibility. -RM
+
+    Fixed alignment of ticks in colorbars. -MGD
+
+    drop the deprecated "new" keyword of np.histogram() for numpy 1.2
+    or later.  -JJL
+
+    Fixed a bug in svg backend that new_figure_manager() ignores
+    keywords arguments such as figsize, etc. -JJL
+
+    Fixed a bug that the handlelength of the new legend class set too
+    short when numpoints=1 -JJL
+
+    Added support for data with units (e.g., dates) to
+    Axes.fill_between. -RM
+
+    Added fancybox keyword to legend. Also applied some changes for
+    better look, including baseline adjustment of the multiline texts
+    so that it is center aligned. -JJL
+
+    The transmuter classes in the patches.py are reorganized as
+    subclasses of the Style classes. A few more box and arrow styles
+    are added. -JJL
+
+    Fixed a bug in the new legend class that didn't allowed a tuple of
+    coordinate values as loc. -JJL
+
+    Improve checks for external dependencies, using subprocess
+    (instead of deprecated popen*) and distutils (for version
+    checking) - DSD
+
+    Reimplementation of the legend which supports baseline alignment,
+    multi-column, and expand mode. - JJL
+
+    Fixed histogram autoscaling bug when bins or range are given
+    explicitly (fixes Debian bug 503148) - MM
+
+    Added rcParam axes.unicode_minus which allows plain hyphen for
+    minus when False - JDH
+
+    Added scatterpoints support in Legend. patch by Erik Tollerud -
+    JJL
+
+    Fix crash in log ticking. - MGD
+
+    Added static helper method BrokenHBarCollection.span_where and
+    Axes/pyplot method fill_between.  See
+    examples/pylab/fill_between.py - JDH
+
+    Add x_isdata and y_isdata attributes to Artist instances, and use
+    them to determine whether either or both coordinates are used when
+    updating dataLim.  This is used to fix autoscaling problems that
+    had been triggered by axhline, axhspan, axvline, axvspan. - EF
+
+    Update the psd(), csd(), cohere(), and specgram() methods of Axes
+    and the csd() cohere(), and specgram() functions in mlab to be in
+    sync with the changes to psd().  In fact, under the hood, these
+    all call the same core to do computations. - RM
+
+    Add 'pad_to' and 'sides' parameters to mlab.psd() to allow
+    controlling of zero padding and returning of negative frequency
+    components, respectively.  These are added in a way that does not
+    change the API. - RM
+
+    Fix handling of c kwarg by scatter; generalize is_string_like to
+    accept numpy and numpy.ma string array scalars. - RM and EF
+
+    Fix a possible EINTR problem in dviread, which might help when
+    saving pdf files from the qt backend. - JKS
+
+    Fix bug with zoom to rectangle and twin axes - MGD
+
+    Added Jae Joon's fancy arrow, box and annotation enhancements --
+    see examples/pylab_examples/annotation_demo2.py
+
+    Autoscaling is now supported with shared axes - EF
+
+    Fixed exception in dviread that happened with Minion - JKS
+
+    set_xlim, ylim now return a copy of the viewlim array to avoid
+    modify inplace surprises
+
+    Added image thumbnail generating function
+    matplotlib.image.thumbnail.  See examples/misc/image_thumbnail.py
+    - JDH
+
+    Applied scatleg patch based on ideas and work by Erik Tollerud and
+    Jae-Joon Lee. - MM
+
+    Fixed bug in pdf backend: if you pass a file object for output
+    instead of a filename, e.g., in a wep app, we now flush the object
+    at the end. - JKS
+
+    Add path simplification support to paths with gaps. - EF
+
+    Fix problem with AFM files that don't specify the font's full name
+    or family name. - JKS
+
+    Added 'scilimits' kwarg to Axes.ticklabel_format() method, for
+    easy access to the set_powerlimits method of the major
+    ScalarFormatter. - EF
+
+    Experimental new kwarg borderpad to replace pad in legend, based
+    on suggestion by Jae-Joon Lee.  - EF
+
+    Allow spy to ignore zero values in sparse arrays, based on patch
+    by Tony Yu.  Also fixed plot to handle empty data arrays, and
+    fixed handling of markers in figlegend. - EF
+
+    Introduce drawstyles for lines. Transparently split linestyles
+    like 'steps--' into drawstyle 'steps' and linestyle '--'.  Legends
+    always use drawstyle 'default'. - MM
+
+    Fixed quiver and quiverkey bugs (failure to scale properly when
+    resizing) and added additional methods for determining the arrow
+    angles - EF
+
+    Fix polar interpolation to handle negative values of theta - MGD
+
+    Reorganized cbook and mlab methods related to numerical
+    calculations that have little to do with the goals of those two
+    modules into a separate module numerical_methods.py Also, added
+    ability to select points and stop point selection with keyboard in
+    ginput and manual contour labeling code.  Finally, fixed contour
+    labeling bug. - DMK
+
+    Fix backtick in Postscript output. - MGD
+
+    [ 2089958 ] Path simplification for vector output backends
+    Leverage the simplification code exposed through path_to_polygons
+    to simplify certain well-behaved paths in the vector backends
+    (PDF, PS and SVG).  "path.simplify" must be set to True in
+    matplotlibrc for this to work.  - MGD
+
+    Add "filled" kwarg to Path.intersects_path and
+    Path.intersects_bbox. - MGD
+
+    Changed full arrows slightly to avoid an xpdf rendering problem
+    reported by Friedrich Hagedorn. - JKS
+
+    Fix conversion of quadratic to cubic Bezier curves in PDF and PS
+    backends. Patch by Jae-Joon Lee. - JKS
+
+    Added 5-point star marker to plot command q- EF
+
+    Fix hatching in PS backend - MGD
+
+    Fix log with base 2 - MGD
+
+    Added support for bilinear interpolation in
+    NonUniformImage; patch by Gregory Lielens. - EF
+
+    Added support for multiple histograms with data of
+    different length - MM
+
+    Fix step plots with log scale - MGD
+
+    Fix masked arrays with markers in non-Agg backends - MGD
+
+    Fix clip_on kwarg so it actually works correctly - MGD
+
+    Fix locale problems in SVG backend - MGD
+
+    fix quiver so masked values are not plotted - JSW
+
+    improve interactive pan/zoom in qt4 backend on windows - DSD
+
+    Fix more bugs in NaN/inf handling.  In particular, path
+    simplification (which does not handle NaNs or infs) will be turned
+    off automatically when infs or NaNs are present.  Also masked
+    arrays are now converted to arrays with NaNs for consistent
+    handling of masks and NaNs - MGD and EF
+
+    Added support for arbitrary rasterization resolutions to the SVG
+    backend. - MW
diff --git a/doc/users/prev_whats_new/whats_new_0.99.rst b/doc/users/prev_whats_new/whats_new_0.99.rst
new file mode 100644
index 000000000000..47e4b18ae62d
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_0.99.rst
@@ -0,0 +1,169 @@
+.. _whats-new-0-99:
+
+What's new in Matplotlib 0.99 (Aug 29, 2009)
+============================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+
+New documentation
+-----------------
+
+Jae-Joon Lee has written two new guides :ref:`legend_guide`
+and :ref:`plotting-guide-annotation`.  Michael Sarahan has written
+:ref:`image_tutorial`.  John Hunter has written two new tutorials on
+working with paths and transformations: :ref:`paths` and
+:ref:`transforms_tutorial`.
+
+.. _whats-new-mplot3d:
+
+mplot3d
+--------
+
+Reinier Heeres has ported John Porter's mplot3d over to the new
+matplotlib transformations framework, and it is now available as a
+toolkit mpl_toolkits.mplot3d (which now comes standard with all mpl
+installs).  See :ref:`mplot3d-examples-index` and
+:ref:`mplot3d`.
+
+.. plot::
+
+    from matplotlib import cm
+    from mpl_toolkits.mplot3d import Axes3D
+
+
+    plt.style.use('classic')
+
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+
+    fig = plt.figure()
+    ax = Axes3D(fig, auto_add_to_figure=False)
+    fig.add_axes(ax)
+    ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.viridis)
+
+    plt.show()
+
+.. _whats-new-axes-grid:
+
+axes grid toolkit
+-----------------
+
+Jae-Joon Lee has added a new toolkit to ease displaying multiple images in
+matplotlib, as well as some support for curvilinear grids to support
+the world coordinate system. The toolkit is included standard with all
+new mpl installs.   See :ref:`axes_grid1-examples-index`,
+:ref:`axisartist-examples-index`, :ref:`axes_grid1_users-guide-index` and
+:ref:`axisartist_users-guide-index`
+
+.. plot::
+
+    from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
+
+
+    def get_demo_image():
+        # prepare image
+        delta = 0.5
+
+        extent = (-3, 4, -4, 3)
+        x = np.arange(-3.0, 4.001, delta)
+        y = np.arange(-4.0, 3.001, delta)
+        X, Y = np.meshgrid(x, y)
+        Z1 = np.exp(-X**2 - Y**2)
+        Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+        Z = (Z1 - Z2) * 2
+
+        return Z, extent
+
+
+    def get_rgb():
+        Z, extent = get_demo_image()
+
+        Z[Z < 0] = 0.
+        Z = Z / Z.max()
+
+        R = Z[:13, :13]
+        G = Z[2:, 2:]
+        B = Z[:13, 2:]
+
+        return R, G, B
+
+
+    fig = plt.figure()
+
+    plt.style.use('classic')
+
+    ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
+
+    r, g, b = get_rgb()
+    ax.imshow_rgb(r, g, b, origin="lower")
+
+    ax.RGB.set_xlim(0., 9.5)
+    ax.RGB.set_ylim(0.9, 10.6)
+
+    plt.show()
+
+.. _whats-new-spine:
+
+Axis spine placement
+--------------------
+
+Andrew Straw has added the ability to place "axis spines" -- the lines
+that denote the data limits -- in various arbitrary locations.  No
+longer are your axis lines constrained to be a simple rectangle around
+the figure -- you can turn on or off left, bottom, right and top, as
+well as "detach" the spine to offset it away from the data.  See
+:doc:`/gallery/spines/spine_placement_demo` and
+:class:`matplotlib.spines.Spine`.
+
+.. plot::
+
+    def adjust_spines(ax, spines):
+        for loc, spine in ax.spines.items():
+            if loc in spines:
+                spine.set_position(('outward', 10))  # outward by 10 points
+            else:
+                spine.set_color('none')  # don't draw spine
+
+        # turn off ticks where there is no spine
+        if 'left' in spines:
+            ax.yaxis.set_ticks_position('left')
+        else:
+            # no yaxis ticks
+            ax.yaxis.set_ticks([])
+
+        if 'bottom' in spines:
+            ax.xaxis.set_ticks_position('bottom')
+        else:
+            # no xaxis ticks
+            ax.xaxis.set_ticks([])
+
+    fig = plt.figure()
+
+    plt.style.use('classic')
+
+    x = np.linspace(0, 2*np.pi, 100)
+    y = 2*np.sin(x)
+
+    ax = fig.add_subplot(2, 2, 1)
+    ax.plot(x, y)
+    adjust_spines(ax, ['left'])
+
+    ax = fig.add_subplot(2, 2, 2)
+    ax.plot(x, y)
+    adjust_spines(ax, [])
+
+    ax = fig.add_subplot(2, 2, 3)
+    ax.plot(x, y)
+    adjust_spines(ax, ['left', 'bottom'])
+
+    ax = fig.add_subplot(2, 2, 4)
+    ax.plot(x, y)
+    adjust_spines(ax, ['bottom'])
+
+    plt.show()
diff --git a/doc/users/prev_whats_new/whats_new_1.0.rst b/doc/users/prev_whats_new/whats_new_1.0.rst
new file mode 100644
index 000000000000..772f241f4b23
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.0.rst
@@ -0,0 +1,161 @@
+.. _whats-new-1-0:
+
+What's new in Matplotlib 1.0 (Jul 06, 2010)
+===========================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+.. _whats-new-html5:
+
+HTML5/Canvas backend
+--------------------
+
+Simon Ratcliffe and Ludwig Schwardt have released an `HTML5/Canvas
+<https://code.google.com/archive/p/mplh5canvas>`__ backend for matplotlib.  The
+backend is almost feature complete, and they have done a lot of work
+comparing their html5 rendered images with our core renderer Agg.  The
+backend features client/server interactive navigation of matplotlib
+figures in an html5 compliant browser.
+
+Sophisticated subplot grid layout
+---------------------------------
+
+Jae-Joon Lee has written :mod:`~matplotlib.gridspec`, a new module for
+doing complex subplot layouts, featuring row and column spans and
+more.  See :ref:`arranging_axes` for a tutorial
+overview.
+
+.. figure:: ../../gallery/subplots_axes_and_figures/images/sphx_glr_subplot2grid_001.png
+   :target: ../../gallery/subplots_axes_and_figures/subplot2grid.html
+   :align: center
+   :scale: 50
+
+Easy pythonic subplots
+-----------------------
+
+Fernando Perez got tired of all the boilerplate code needed to create a
+figure and multiple subplots when using the matplotlib API, and wrote
+a :func:`~matplotlib.pyplot.subplots` helper function.  Basic usage
+allows you to create the figure and an array of subplots with numpy
+indexing (starts with 0).  e.g.::
+
+  fig, axarr = plt.subplots(2, 2)
+  axarr[0,0].plot([1,2,3])   # upper, left
+
+See :doc:`/gallery/subplots_axes_and_figures/subplot` for several code examples.
+
+Contour fixes and triplot
+-----------------------------
+
+Ian Thomas has fixed a long-standing bug that has vexed our most
+talented developers for years.  :func:`~matplotlib.pyplot.contourf`
+now handles interior masked regions, and the boundaries of line and
+filled contours coincide.
+
+Additionally, he has contributed a new module :mod:`~matplotlib.tri` and
+helper function :func:`~matplotlib.pyplot.triplot` for creating and
+plotting unstructured triangular grids.
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_triplot_demo_001.png
+   :target: ../../gallery/images_contours_and_fields/triplot_demo.html
+   :align: center
+   :scale: 50
+
+multiple calls to show supported
+--------------------------------
+
+A long standing request is to support multiple calls to
+:func:`~matplotlib.pyplot.show`.  This has been difficult because it
+is hard to get consistent behavior across operating systems, user
+interface toolkits and versions.  Eric Firing has done a lot of work
+on rationalizing show across backends, with the desired behavior to
+make show raise all newly created figures and block execution until
+they are closed.  Repeated calls to show should raise newly created
+figures since the last call.  Eric has done a lot of testing on the
+user interface toolkits and versions and platforms he has access to,
+but it is not possible to test them all, so please report problems to
+the `mailing list
+<https://mail.python.org/mailman/listinfo/matplotlib-users>`__
+and `bug tracker
+<https://github.com/matplotlib/matplotlib/issues>`__.
+
+
+mplot3d graphs can be embedded in arbitrary axes
+------------------------------------------------
+
+You can now place an mplot3d graph into an arbitrary axes location,
+supporting mixing of 2D and 3D graphs in the same figure, and/or
+multiple 3D graphs in a single figure, using the "projection" keyword
+argument to add_axes or add_subplot.  Thanks Ben Root.
+
+.. plot::
+
+    from mpl_toolkits.mplot3d.axes3d import get_test_data
+
+    fig = plt.figure()
+
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+    ax = fig.add_subplot(1, 2, 1, projection='3d')
+    surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='viridis',
+                           linewidth=0, antialiased=False)
+    ax.set_zlim3d(-1.01, 1.01)
+
+    fig.colorbar(surf, shrink=0.5, aspect=5)
+
+    X, Y, Z = get_test_data(0.05)
+    ax = fig.add_subplot(1, 2, 2, projection='3d')
+    ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+    plt.show()
+
+tick_params
+-----------
+
+Eric Firing wrote tick_params, a convenience method for changing the
+appearance of ticks and tick labels. See pyplot function
+:func:`~matplotlib.pyplot.tick_params` and associated Axes method
+:meth:`~matplotlib.axes.Axes.tick_params`.
+
+Lots of performance and feature enhancements
+--------------------------------------------
+
+
+* Faster magnification of large images, and the ability to zoom in to
+  a single pixel
+
+* Local installs of documentation work better
+
+* Improved "widgets" -- mouse grabbing is supported
+
+* More accurate snapping of lines to pixel boundaries
+
+* More consistent handling of color, particularly the alpha channel,
+  throughout the API
+
+Much improved software carpentry
+--------------------------------
+
+The matplotlib trunk is probably in as good a shape as it has ever
+been, thanks to improved `software carpentry
+<https://software-carpentry.org/>`__.  We now have a `buildbot
+<https://buildbot.net>`__ which runs a suite of `nose
+<http://code.google.com/p/python-nose/>`__ regression tests on every
+svn commit, auto-generating a set of images and comparing them against
+a set of known-goods, sending emails to developers on failures with a
+pixel-by-pixel image comparison.  Releases and release
+bugfixes happen in branches, allowing active new feature development
+to happen in the trunk while keeping the release branches stable.
+Thanks to Andrew Straw, Michael Droettboom and other matplotlib
+developers for the heavy lifting.
+
+Bugfix marathon
+---------------
+
+Eric Firing went on a bug fixing and closing marathon, closing over 100 bugs on
+the (now-closed) SourceForge bug tracker with help from Jae-Joon Lee, Michael
+Droettboom, Christoph Gohlke and Michiel de Hoon.
diff --git a/doc/users/prev_whats_new/whats_new_1.1.rst b/doc/users/prev_whats_new/whats_new_1.1.rst
new file mode 100644
index 000000000000..3f48fc9f87b6
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.1.rst
@@ -0,0 +1,224 @@
+.. _whats-new-1-1:
+
+What's new in Matplotlib 1.1 (Nov 02, 2011)
+===========================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+.. note::
+
+   matplotlib 1.1 supports Python 2.4 to 2.7
+
+
+Sankey Diagrams
+---------------
+
+Kevin Davies has extended Yannick Copin's original Sankey example into a module
+(:mod:`~matplotlib.sankey`) and provided new examples
+(:doc:`/gallery/specialty_plots/sankey_basics`,
+:doc:`/gallery/specialty_plots/sankey_links`,
+:doc:`/gallery/specialty_plots/sankey_rankine`).
+
+.. figure:: ../../gallery/specialty_plots/images/sphx_glr_sankey_rankine_001.png
+   :target: ../../gallery/specialty_plots/sankey_rankine.html
+   :align: center
+   :scale: 50
+
+Animation
+---------
+
+Ryan May has written a backend-independent framework for creating
+animated figures. The :mod:`~matplotlib.animation` module is intended
+to replace the backend-specific examples formerly in the
+:ref:`examples-index` listings.  Examples using the new framework are
+in :ref:`animation-examples-index`; see the entrancing :file:`double
+pendulum <gallery/animation/double_pendulum_sgskip.py>` which uses
+:meth:`matplotlib.animation.Animation.save` to create the movie below.
+
+.. raw:: html
+
+    <iframe width="420" height="315" src="https://www.youtube.com/embed/32cjc6V0OZY" frameborder="0" allowfullscreen></iframe>
+
+This should be considered as a beta release of the framework;
+please try it and provide feedback.
+
+
+Tight Layout
+------------
+
+A frequent issue raised by users of matplotlib is the lack of a layout
+engine to nicely space out elements of the plots. While matplotlib still
+adheres to the philosophy of giving users complete control over the placement
+of plot elements, Jae-Joon Lee created the ``matplotlib.tight_layout``
+module and introduced a new
+command :func:`~matplotlib.pyplot.tight_layout`
+to address the most common layout issues.
+
+.. plot::
+
+    plt.style.use('classic')
+
+    plt.rcParams['savefig.facecolor'] = "0.8"
+    plt.rcParams['figure.figsize'] = 4, 3
+
+    fig, axes_list = plt.subplots(2, 1)
+    for ax in axes_list.flat:
+        ax.set(xlabel="x-label", ylabel="y-label", title="before tight_layout")
+    ax.locator_params(nbins=3)
+
+    plt.show()
+
+    plt.rcParams['savefig.facecolor'] = "0.8"
+    plt.rcParams['figure.figsize'] = 4, 3
+
+    fig, axes_list = plt.subplots(2, 1)
+    for ax in axes_list.flat:
+        ax.set(xlabel="x-label", ylabel="y-label", title="after tight_layout")
+    ax.locator_params(nbins=3)
+
+    plt.tight_layout()
+    plt.show()
+
+The usage of this functionality can be as simple as ::
+
+    plt.tight_layout()
+
+and it will adjust the spacing between subplots
+so that the axis labels do not overlap with neighboring subplots. A
+:ref:`tight_layout_guide` has been created to show how to use
+this new tool.
+
+PyQT4, PySide, and IPython
+--------------------------
+
+Gerald Storer made the Qt4 backend compatible with PySide as
+well as PyQT4.  At present, however, PySide does not support
+the PyOS_InputHook mechanism for handling gui events while
+waiting for text input, so it cannot be used with the new
+version 0.11 of `IPython <http://ipython.org>`__. Until this
+feature appears in PySide, IPython users should use
+the PyQT4 wrapper for QT4, which remains the matplotlib default.
+
+An rcParam entry, "backend.qt4", has been added to allow users
+to select PyQt4, PyQt4v2, or PySide.  The latter two use the
+Version 2 Qt API.  In most cases, users can ignore this rcParam
+variable; it is available to aid in testing, and to provide control
+for users who are embedding matplotlib in a PyQt4 or PySide app.
+
+
+Legend
+------
+
+Jae-Joon Lee has improved plot legends. First,
+legends for complex plots such as :meth:`~matplotlib.pyplot.stem` plots
+will now display correctly. Second, the 'best' placement of a legend has
+been improved in the presence of NANs.
+
+See the :ref:`legend_guide` for more detailed explanation and
+examples.
+
+.. figure:: ../../gallery/text_labels_and_annotations/images/sphx_glr_legend_demo_004.png
+   :target: ../../gallery/text_labels_and_annotations/legend_demo.html
+   :align: center
+   :scale: 50
+
+mplot3d
+-------
+
+In continuing the efforts to make 3D plotting in matplotlib just as easy
+as 2D plotting, Ben Root has made several improvements to the
+:mod:`~mpl_toolkits.mplot3d` module.
+
+* :class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` has been
+  improved to bring the class towards feature-parity with regular
+  Axes objects
+
+* Documentation for :ref:`mplot3d` was significantly expanded
+
+* Axis labels and orientation improved
+
+* Most 3D plotting functions now support empty inputs
+
+* Ticker offset display added:
+
+.. figure:: ../../gallery/mplot3d/images/sphx_glr_offset_001.png
+   :target: ../../gallery/mplot3d/offset.html
+   :align: center
+   :scale: 50
+
+* :meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.contourf`
+  gains *zdir* and *offset* kwargs. You can now do this:
+
+.. figure:: ../../gallery/mplot3d/images/sphx_glr_contourf3d_2_001.png
+   :target: ../../gallery/mplot3d/contourf3d_2.html
+   :align: center
+   :scale: 50
+
+Numerix support removed
+-----------------------
+
+After more than two years of deprecation warnings, Numerix support has
+now been completely removed from matplotlib.
+
+Markers
+-------
+
+The list of available markers for :meth:`~matplotlib.pyplot.plot` and
+:meth:`~matplotlib.pyplot.scatter` has now been merged. While they
+were mostly similar, some markers existed for one function, but not
+the other. This merge did result in a conflict for the 'd' diamond
+marker. Now, 'd' will be interpreted to always mean "thin" diamond
+while 'D' will mean "regular" diamond.
+
+Thanks to Michael Droettboom for this effort.
+
+Other improvements
+------------------
+
+* Unit support for polar axes and :func:`~matplotlib.axes.Axes.arrow`
+
+* :class:`~matplotlib.projections.polar.PolarAxes` gains getters and setters for
+  "theta_direction", and "theta_offset" to allow for theta to go in
+  either the clock-wise or counter-clockwise direction and to specify where zero
+  degrees should be placed.
+  :meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location` is an
+  added convenience function.
+
+* Fixed error in argument handling for tri-functions such as
+  :meth:`~matplotlib.pyplot.tripcolor`
+
+* ``axes.labelweight`` parameter added to rcParams.
+
+* For :meth:`~matplotlib.pyplot.imshow`, *interpolation='nearest'* will
+  now always perform an interpolation. A "none" option has been added to
+  indicate no interpolation at all.
+
+* An error in the Hammer projection has been fixed.
+
+* *clabel* for :meth:`~matplotlib.pyplot.contour` now accepts a callable.
+  Thanks to Daniel Hyams for the original patch.
+
+* Jae-Joon Lee added the `~mpl_toolkits.axes_grid1.axes_divider.HBoxDivider`
+  and `~mpl_toolkits.axes_grid1.axes_divider.VBoxDivider` classes.
+
+* Christoph Gohlke reduced memory usage in :meth:`~matplotlib.pyplot.imshow`.
+
+* :meth:`~matplotlib.pyplot.scatter` now accepts empty inputs.
+
+* The behavior for 'symlog' scale has been fixed, but this may result
+  in some minor changes to existing plots.  This work was refined by
+  ssyr.
+
+* Peter Butterworth added named figure support to
+  :func:`~matplotlib.pyplot.figure`.
+
+* Michiel de Hoon has modified the MacOSX backend to make
+  its interactive behavior consistent with the other backends.
+
+* Pim Schellart added a new colormap called "cubehelix".
+  Sameer Grover also added a colormap called "coolwarm". See it and all
+  other colormaps :ref:`here <color-colormaps_reference>`.
+
+* Many bug fixes and documentation improvements.
diff --git a/doc/users/prev_whats_new/whats_new_1.2.2.rst b/doc/users/prev_whats_new/whats_new_1.2.2.rst
new file mode 100644
index 000000000000..ab81018925cd
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.2.2.rst
@@ -0,0 +1,22 @@
+.. _whats-new-1-2-2:
+
+What's new in Matplotlib 1.2.2
+==============================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+
+Improved collections
+--------------------
+
+The individual items of a collection may now have different alpha
+values and be rendered correctly.  This also fixes a bug where
+collections were always filled in the PDF backend.
+
+Multiple images on same axes are correctly transparent
+------------------------------------------------------
+
+When putting multiple images onto the same axes, the background color
+of the axes will now show through correctly.
diff --git a/doc/users/prev_whats_new/whats_new_1.2.rst b/doc/users/prev_whats_new/whats_new_1.2.rst
new file mode 100644
index 000000000000..43c729999d5b
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.2.rst
@@ -0,0 +1,218 @@
+.. _whats-new-1-2:
+
+
+What's new in Matplotlib 1.2 (Nov 9, 2012)
+==========================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+.. note::
+
+   matplotlib 1.2 supports Python 2.6, 2.7, and 3.1
+
+Python 3.x support
+------------------
+
+Matplotlib 1.2 is the first version to support Python 3.x,
+specifically Python 3.1 and 3.2.  To make this happen in a reasonable
+way, we also had to drop support for Python versions earlier than 2.6.
+
+This work was done by Michael Droettboom, the Cape Town Python Users'
+Group, many others and supported financially in part by the SAGE
+project.
+
+The following GUI backends work under Python 3.x: Gtk3Cairo, Qt4Agg,
+TkAgg and MacOSX.  The other GUI backends do not yet have adequate
+bindings for Python 3.x, but continue to work on Python 2.6 and 2.7,
+particularly the Qt and QtAgg backends (which have been
+deprecated). The non-GUI backends, such as PDF, PS and SVG, work on
+both Python 2.x and 3.x.
+
+Features that depend on the Python Imaging Library, such as JPEG
+handling, do not work, since the version of PIL for Python 3.x is not
+sufficiently mature.
+
+PGF/TikZ backend
+----------------
+Peter Würtz wrote a backend that allows matplotlib to export figures as
+drawing commands for LaTeX. These can be processed by PdfLaTeX, XeLaTeX or
+LuaLaTeX using the PGF/TikZ package. Usage examples and documentation are
+found in :ref:`pgf`.
+
+.. image:: /_static/pgf_preamble.*
+
+Locator interface
+-----------------
+
+Philip Elson exposed the intelligence behind the tick Locator classes with a
+simple interface. For instance, to get no more than 5 sensible steps which
+span the values 10 and 19.5::
+
+    >>> import matplotlib.ticker as mticker
+    >>> locator = mticker.MaxNLocator(nbins=5)
+    >>> print(locator.tick_values(10, 19.5))
+    [ 10.  12.  14.  16.  18.  20.]
+
+Tri-Surface Plots
+-----------------
+
+Damon McDougall added a new plotting method for the
+:mod:`~mpl_toolkits.mplot3d` toolkit called
+:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`.
+
+.. figure:: ../../gallery/mplot3d/images/sphx_glr_trisurf3d_001.png
+   :target: ../../gallery/mplot3d/trisurf3d.html
+   :align: center
+   :scale: 50
+
+Control the lengths of colorbar extensions
+------------------------------------------
+
+Andrew Dawson added a new keyword argument *extendfrac* to
+:meth:`~matplotlib.pyplot.colorbar` to control the length of
+minimum and maximum colorbar extensions.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+    
+    plt.style.use('classic')
+
+    x = y = np.linspace(0., 2*np.pi, 100)
+    X, Y = np.meshgrid(x, y)
+    Z = np.cos(X) * np.sin(0.5*Y)
+
+    clevs = [-.75, -.5, -.25, 0., .25, .5, .75]
+    cmap = plt.get_cmap(name='jet', lut=8)
+
+    ax1 = plt.subplot(211)
+    cs1 = plt.contourf(x, y, Z, clevs, cmap=cmap, extend='both')
+    cb1 = plt.colorbar(orientation='horizontal', extendfrac=None)
+    cb1.set_label('Default length colorbar extensions')
+
+    ax2 = plt.subplot(212)
+    cs2 = plt.contourf(x, y, Z, clevs, cmap=cmap, extend='both')
+    cb2 = plt.colorbar(orientation='horizontal', extendfrac='auto')
+    cb2.set_label('Custom length colorbar extensions')
+
+    plt.show()
+
+
+Figures are picklable
+---------------------
+
+Philip Elson added an experimental feature to make figures picklable
+for quick and easy short-term storage of plots. Pickle files
+are not designed for long term storage, are unsupported when restoring a pickle
+saved in another matplotlib version and are insecure when restoring a pickle
+from an untrusted source. Having said this, they are useful for short term
+storage for later modification inside matplotlib.
+
+
+Set default bounding box in matplotlibrc
+------------------------------------------
+
+Two new defaults are available in the matplotlibrc configuration file:
+``savefig.bbox``, which can be set to 'standard' or 'tight', and
+``savefig.pad_inches``, which controls the bounding box padding.
+
+
+New Boxplot Functionality
+-------------------------
+
+Users can now incorporate their own methods for computing the median and its
+confidence intervals into the `~.Axes.boxplot` method. For
+every column of data passed to boxplot, the user can specify an accompanying
+median and confidence interval.
+
+.. figure:: ../../gallery/statistics/images/sphx_glr_boxplot_demo_003.png
+   :target: ../../gallery/statistics/boxplot_demo.html
+   :align: center
+   :scale: 50
+
+New RC parameter functionality
+------------------------------
+
+Matthew Emmett added a function and a context manager to help manage RC
+parameters: :func:`~matplotlib.rc_file` and :class:`~matplotlib.rc_context`.
+To load RC parameters from a file::
+
+  >>> mpl.rc_file('mpl.rc')
+
+To temporarily use RC parameters::
+
+  >>> with mpl.rc_context(fname='mpl.rc', rc={'text.usetex': True}):
+  >>>     ...
+
+
+Streamplot
+----------
+
+Tom Flannaghan and Tony Yu have added a new
+:meth:`~matplotlib.pyplot.streamplot` function to plot the streamlines of
+a vector field. This has been a long-requested feature and complements the
+existing :meth:`~matplotlib.pyplot.quiver` function for plotting vector fields.
+In addition to simply plotting the streamlines of the vector field,
+:meth:`~matplotlib.pyplot.streamplot` allows users to map the colors and/or
+line widths of the streamlines to a separate parameter, such as the speed or
+local intensity of the vector field.
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_plot_streamplot_001.png
+   :target: ../../gallery/images_contours_and_fields/plot_streamplot.html
+   :align: center
+   :scale: 50
+
+New hist functionality
+----------------------
+
+Nic Eggert added a new *stacked* kwarg to :meth:`~matplotlib.pyplot.hist` that
+allows creation of stacked histograms using any of the histogram types.
+Previously, this functionality was only available by using the "barstacked"
+histogram type. Now, when ``stacked=True`` is passed to the function, any of the
+histogram types can be stacked. The "barstacked" histogram type retains its
+previous functionality for backwards compatibility.
+
+Updated shipped dependencies
+----------------------------
+
+The following dependencies that ship with matplotlib and are
+optionally installed alongside it have been updated:
+
+- `pytz <http://pytz.sourceforge.net/>`_ 2012d
+- `dateutil <http://labix.org/python-dateutil>`_ 1.5 on Python 2.x,
+   and 2.1 on Python 3.x
+
+
+Face-centred colors in tripcolor plots
+--------------------------------------
+
+Ian Thomas extended :meth:`~matplotlib.pyplot.tripcolor` to allow one color
+value to be specified for each triangular face rather than for each point in
+a triangulation.
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_tripcolor_demo_001.png
+   :target: ../../gallery/images_contours_and_fields/tripcolor_demo.html
+   :align: center
+   :scale: 50
+
+Hatching patterns in filled contour plots, with legends
+-------------------------------------------------------
+
+Phil Elson added support for hatching to
+:func:`~matplotlib.pyplot.contourf`, together with the ability
+to use a legend to identify contoured ranges.
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_contourf_hatching_001.png
+   :target: ../../gallery/images_contours_and_fields/contourf_hatching.html
+   :align: center
+   :scale: 50
+
+Known issues in the matplotlib 1.2 release
+------------------------------------------
+
+- When using the Qt4Agg backend with IPython 0.11 or later, the save
+  dialog will not display.  This should be fixed in a future version
+  of IPython.
diff --git a/doc/users/prev_whats_new/whats_new_1.3.rst b/doc/users/prev_whats_new/whats_new_1.3.rst
new file mode 100644
index 000000000000..af40f37f92b7
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.3.rst
@@ -0,0 +1,396 @@
+.. _whats-new-1-3:
+
+What's new in Matplotlib 1.3 (Aug 01, 2013)
+===========================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+.. note::
+
+   matplotlib 1.3 supports Python 2.6, 2.7, 3.2, and 3.3
+
+New in 1.3.1
+------------
+
+1.3.1 is a micro release, primarily dealing with improved setup and
+handling of dependencies, and correcting and enhancing the
+documentation.
+
+The following changes were made in 1.3.1 since 1.3.0.
+
+Enhancements
+````````````
+
+- Added a context manager for creating multi-page pdfs (see
+  `matplotlib.backends.backend_pdf.PdfPages`).
+
+- The WebAgg backend should now have lower latency over heterogeneous
+  Internet connections.
+
+Bug fixes
+`````````
+
+- Histogram plots now contain the endline.
+
+- Fixes to the Molleweide projection.
+
+- Handling recent fonts from Microsoft and Macintosh-style fonts with
+  non-ascii metadata is improved.
+
+- Hatching of fill between plots now works correctly in the PDF
+  backend.
+
+- Tight bounding box support now works in the PGF backend.
+
+- Transparent figures now display correctly in the Qt4Agg backend.
+
+- Drawing lines from one subplot to another now works.
+
+- Unit handling on masked arrays has been improved.
+
+Setup and dependencies
+``````````````````````
+
+- Now works with any version of pyparsing 1.5.6 or later, without displaying
+  hundreds of warnings.
+
+- Now works with 64-bit versions of Ghostscript on MS-Windows.
+
+- When installing from source into an environment without Numpy, Numpy
+  will first be downloaded and built and then used to build
+  matplotlib.
+
+- Externally installed backends are now always imported using a
+  fully-qualified path to the module.
+
+- Works with newer version of wxPython.
+
+- Can now build with a PyCXX installed globally on the system from source.
+
+- Better detection of Gtk3 dependencies.
+
+Testing
+```````
+
+- Tests should now work in non-English locales.
+
+- PEP8 conformance tests now report on locations of issues.
+
+
+New plotting features
+---------------------
+
+`~.xkcd`-style sketch plotting
+``````````````````````````````
+To give your plots a sense of authority that they may be missing,
+Michael Droettboom (inspired by the work of many others in
+:ghpull:`1329`) has added an `xkcd-style <https://xkcd.com/>`__ sketch
+plotting mode.  To use it, simply call `matplotlib.pyplot.xkcd`
+before creating your plot. For really fine control, it is also possible
+to modify each artist's sketch parameters individually with
+:meth:`matplotlib.artist.Artist.set_sketch_params`.
+
+.. figure:: ../../gallery/showcase/images/sphx_glr_xkcd_001.png
+   :target: ../../gallery/showcase/xkcd.html
+   :align: center
+   :scale: 50
+
+Updated Axes3D.contour methods
+------------------------------
+Damon McDougall updated the
+:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.tricontour` and
+:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.tricontourf` methods to allow 3D
+contour plots on arbitrary unstructured user-specified triangulations.
+
+.. figure:: ../../gallery/mplot3d/images/sphx_glr_tricontour3d_001.png
+   :target: ../../gallery/mplot3d/tricontour3d.html
+   :align: center
+   :scale: 50
+
+New eventplot plot type
+```````````````````````
+Todd Jennings added a :func:`~matplotlib.pyplot.eventplot` function to
+create multiple rows or columns of identical line segments
+
+.. figure:: ../../gallery/lines_bars_and_markers/images/sphx_glr_eventplot_demo_001.png
+   :target: ../../gallery/lines_bars_and_markers/eventplot_demo.html
+   :align: center
+   :scale: 50
+
+As part of this feature, there is a new
+:class:`~matplotlib.collections.EventCollection` class that allows for
+plotting and manipulating rows or columns of identical line segments.
+
+Triangular grid interpolation
+`````````````````````````````
+Geoffroy Billotey and Ian Thomas added classes to perform
+interpolation within triangular grids:
+(:class:`~matplotlib.tri.LinearTriInterpolator` and
+:class:`~matplotlib.tri.CubicTriInterpolator`) and a utility class to
+find the triangles in which points lie
+(:class:`~matplotlib.tri.TrapezoidMapTriFinder`).  A helper class to
+perform mesh refinement and smooth contouring was also added
+(:class:`~matplotlib.tri.UniformTriRefiner`).  Finally, a class
+implementing some basic tools for triangular mesh improvement was
+added (:class:`~matplotlib.tri.TriAnalyzer`).
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_tricontour_smooth_user_001.png
+   :target: ../../gallery/images_contours_and_fields/tricontour_smooth_user.html
+   :align: center
+   :scale: 50
+
+Baselines for stackplot
+```````````````````````
+Till Stensitzki added non-zero baselines to
+:func:`~matplotlib.pyplot.stackplot`.  They may be symmetric or
+weighted.
+
+.. figure:: ../../gallery/lines_bars_and_markers/images/sphx_glr_stackplot_demo_001.png
+   :target: ../../gallery/lines_bars_and_markers/stackplot_demo.html
+   :align: center
+   :scale: 50
+
+Rectangular colorbar extensions
+```````````````````````````````
+Andrew Dawson added a new keyword argument *extendrect* to
+:meth:`~matplotlib.pyplot.colorbar` to optionally make colorbar
+extensions rectangular instead of triangular.
+
+More robust boxplots
+````````````````````
+Paul Hobson provided a fix to the :func:`~matplotlib.pyplot.boxplot`
+method that prevent whiskers from being drawn inside the box for
+oddly distributed data sets.
+
+Calling subplot() without arguments
+```````````````````````````````````
+A call to :func:`~matplotlib.pyplot.subplot` without any arguments now
+acts the same as ``subplot(111)`` or ``subplot(1, 1, 1)`` -- it creates one
+axes for the whole figure. This was already the behavior for both
+:func:`~matplotlib.pyplot.axes` and
+:func:`~matplotlib.pyplot.subplots`, and now this consistency is
+shared with :func:`~matplotlib.pyplot.subplot`.
+
+Drawing
+-------
+
+Independent alpha values for face and edge colors
+`````````````````````````````````````````````````
+Wes Campaigne modified how :class:`~matplotlib.patches.Patch` objects are
+drawn such that (for backends supporting transparency) you can set different
+alpha values for faces and edges, by specifying their colors in RGBA format.
+Note that if you set the alpha attribute for the patch object (e.g. using
+:meth:`~matplotlib.patches.Patch.set_alpha` or the ``alpha`` keyword
+argument), that value will override the alpha components set in both the
+face and edge colors.
+
+Path effects on lines
+`````````````````````
+Thanks to Jae-Joon Lee, path effects now also work on plot lines.
+
+.. figure:: ../../gallery/misc/images/sphx_glr_patheffect_demo_001.png
+   :target: ../../gallery/misc/patheffect_demo.html
+   :align: center
+   :scale: 50
+
+Easier creation of colormap and normalizer for levels with colors
+`````````````````````````````````````````````````````````````````
+Phil Elson added the :func:`matplotlib.colors.from_levels_and_colors`
+function to easily create a colormap and normalizer for representation
+of discrete colors for plot types such as
+:func:`matplotlib.pyplot.pcolormesh`, with a similar interface to that
+of `matplotlib.pyplot.contourf`.
+
+Full control of the background color
+````````````````````````````````````
+Wes Campaigne and Phil Elson fixed the Agg backend such that PNGs are
+now saved with the correct background color when
+``fig.patch.get_alpha()`` is not 1.
+
+Improved ``bbox_inches="tight"`` functionality
+``````````````````````````````````````````````
+Passing ``bbox_inches="tight"`` through to `.pyplot.savefig` now takes
+into account *all* artists on a figure - this was previously not the
+case and led to several corner cases which did not function as
+expected.
+
+Initialize a rotated rectangle
+``````````````````````````````
+Damon McDougall extended the :class:`~matplotlib.patches.Rectangle`
+constructor to accept an *angle* kwarg, specifying the rotation of a
+rectangle in degrees.
+
+Text
+----
+
+Anchored text support
+`````````````````````
+The SVG and pgf backends are now able to save text alignment
+information to their output formats. This allows to edit text elements
+in saved figures, using Inkscape for example, while preserving their
+intended position. For SVG please note that you'll have to disable
+the default text-to-path conversion (``mpl.rc('svg',
+fonttype='none')``).
+
+Better vertical text alignment and multi-line text
+``````````````````````````````````````````````````
+The vertical alignment of text is now consistent across backends.  You
+may see small differences in text placement, particularly with rotated
+text.
+
+If you are using a custom backend, note that the `~.RendererBase.draw_text` renderer
+method is now passed the location of the baseline, not the location of
+the bottom of the text bounding box.
+
+Multi-line text will now leave enough room for the height of very tall
+or very low text, such as superscripts and subscripts.
+
+Left and right side axes titles
+```````````````````````````````
+Andrew Dawson added the ability to add axes titles flush with the left
+and right sides of the top of the axes using a new keyword argument
+*loc* to :func:`~matplotlib.pyplot.title`.
+
+Improved manual contour plot label positioning
+``````````````````````````````````````````````
+Brian Mattern modified the manual contour plot label positioning code
+to interpolate along line segments and find the actual closest point
+on a contour to the requested position. Previously, the closest path
+vertex was used, which, in the case of straight contours was sometimes
+quite distant from the requested location. Much more precise label
+positioning is now possible.
+
+Configuration (rcParams)
+------------------------
+
+Quickly find rcParams
+`````````````````````
+Phil Elson made it easier to search for rcParameters by passing a
+valid regular expression to :func:`matplotlib.RcParams.find_all`.
+:class:`matplotlib.RcParams` now also has a pretty repr and str
+representation so that search results are printed prettily:
+
+    >>> import matplotlib
+    >>> print(matplotlib.rcParams.find_all('\.size'))
+    RcParams({'font.size': 12,
+              'xtick.major.size': 4,
+              'xtick.minor.size': 2,
+              'ytick.major.size': 4,
+              'ytick.minor.size': 2})
+
+``axes.xmargin`` and ``axes.ymargin`` added to rcParams
+```````````````````````````````````````````````````````
+:rc:`axes.xmargin` and :rc:`axes.ymargin` were added
+to configure the default margins used.  Previously they were
+hard-coded to default to 0, default value of both rcParam values is 0.
+
+Changes to font rcParams
+````````````````````````
+The ``font.*`` rcParams now affect only text objects created after the
+rcParam has been set, and will not retroactively affect already
+existing text objects.  This brings their behavior in line with most
+other rcParams.
+
+Added ``savefig.jpeg_quality`` rcParam
+``````````````````````````````````````
+The ``savefig.jpeg_quality`` rcParam was added so that the user can
+configure the default quality used when a figure is written as a JPEG.
+The default quality is 95; previously, the default quality was 75.
+This change minimizes the artifacting inherent in JPEG images,
+particularly with images that have sharp changes in color as plots
+often do.
+
+Backends
+--------
+
+WebAgg backend
+``````````````
+Michael Droettboom, Phil Elson and others have developed a new
+backend, WebAgg, to display figures in a web browser.  It works with
+animations as well as being fully interactive.
+
+.. image:: /_static/webagg_screenshot.png
+
+Future versions of matplotlib will integrate this backend with the
+IPython notebook for a fully web browser based plotting frontend.
+
+Remember save directory
+```````````````````````
+Martin Spacek made the save figure dialog remember the last directory
+saved to. The default is configurable with the new :rc:`savefig.directory`
+rcParam in :file:`matplotlibrc`.
+
+Documentation and examples
+--------------------------
+
+Numpydoc docstrings
+```````````````````
+Nelle Varoquaux has started an ongoing project to convert matplotlib's
+docstrings to numpydoc format.  See `MEP10
+<https://github.com/matplotlib/matplotlib/wiki/Mep10>`__ for more
+information.
+
+Example reorganization
+``````````````````````
+Tony Yu has begun work reorganizing the examples into more meaningful
+categories.  The new gallery page is the fruit of this ongoing work.
+See `MEP12 <https://github.com/matplotlib/matplotlib/wiki/MEP12>`__ for
+more information.
+
+Examples now use subplots()
+```````````````````````````
+For the sake of brevity and clarity, most of the :ref:`examples
+<examples-index>` now use the newer
+:func:`~matplotlib.pyplot.subplots`, which creates a figure and one
+(or multiple) axes object(s) in one call. The old way involved a call
+to :func:`~matplotlib.pyplot.figure`, followed by one (or multiple)
+:func:`~matplotlib.pyplot.subplot` calls.
+
+Infrastructure
+--------------
+
+Housecleaning
+`````````````
+A number of features that were deprecated in 1.2 or earlier, or have
+not been in a working state for a long time have been removed.
+Highlights include removing the Qt version 3 backends, and the FltkAgg
+and Emf backends.  See :ref:`changes_in_1_3` for a complete list.
+
+New setup script
+````````````````
+matplotlib 1.3 includes an entirely rewritten setup script.  We now
+ship fewer dependencies with the tarballs and installers themselves.
+Notably, pytz_, dateutil_, pyparsing_ and six_ are no longer
+included with matplotlib.  You can either install them manually first,
+or let pip_ install them as dependencies along with matplotlib.  It
+is now possible to not include certain subcomponents, such as the unit
+test data, in the install.  See :file:`setup.cfg.template` for more
+information.
+
+.. _dateutil: https://pypi.org/project/python-dateutil/
+.. _pip: https://pypi.org/project/pip/
+.. _pyparsing: https://pypi.org/project/pyparsing/
+.. _pytz: https://pypi.org/project/pytz/
+.. _six: https://pypi.org/project/six/
+
+XDG base directory support
+``````````````````````````
+On Linux, matplotlib now uses the `XDG base directory specification
+<https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html>`_ to
+find the :file:`matplotlibrc` configuration file. :file:`matplotlibrc` should
+now be kept in :file:`~/.config/matplotlib`, rather than :file:`~/.matplotlib`.
+If your configuration is found in the old location, it will still be used, but
+a warning will be displayed.
+
+Catch opening too many figures using pyplot
+```````````````````````````````````````````
+Figures created through `.pyplot.figure` are retained until they are
+explicitly closed.  It is therefore common for new users of matplotlib
+to run out of memory when creating a large series of figures in a loop
+without closing them.
+
+matplotlib will now display a `RuntimeWarning` when too many figures
+have been opened at once.  By default, this is displayed for 20 or
+more figures, but the exact number may be controlled using the
+``figure.max_open_warning`` rcParam.
diff --git a/doc/users/prev_whats_new/whats_new_1.4.rst b/doc/users/prev_whats_new/whats_new_1.4.rst
new file mode 100644
index 000000000000..eb0e93fd8883
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.4.rst
@@ -0,0 +1,425 @@
+.. _whats-new-1-4:
+
+
+What's new in Matplotlib 1.4 (Aug 25, 2014)
+===========================================
+
+Thomas A. Caswell served as the release manager for the 1.4 release.
+
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+.. note::
+
+   matplotlib 1.4 supports Python 2.6, 2.7, 3.3, and 3.4
+
+
+New colormap
+------------
+In heatmaps, a green-to-red spectrum is often used to indicate intensity of
+activity, but this can be problematic for the red/green colorblind. A new,
+colorblind-friendly colormap is now available at ``matplotlib.cm.Wistia``.
+This colormap maintains the red/green symbolism while achieving deuteranopic
+legibility through brightness variations. See
+`here <https://github.com/wistia/heatmap-palette>`__
+for more information.
+
+The nbagg backend
+-----------------
+Phil Elson added a new backend, named "nbagg", which enables interactive
+figures in a live IPython notebook session. The backend makes use of the
+infrastructure developed for the webagg backend, which itself gives
+standalone server backed interactive figures in the browser, however nbagg
+does not require a dedicated matplotlib server as all communications are
+handled through the IPython Comm machinery.
+
+As with other backends nbagg can be enabled inside the IPython notebook with::
+
+    import matplotlib
+    matplotlib.use('nbagg')
+
+Once figures are created and then subsequently shown, they will placed in an
+interactive widget inside the notebook allowing panning and zooming in the
+same way as any other matplotlib backend. Because figures require a connection
+to the IPython notebook server for their interactivity, once the notebook is
+saved, each figure will be rendered as a static image - thus allowing
+non-interactive viewing of figures on services such as
+`nbviewer <https://nbviewer.jupyter.org/>`__.
+
+
+
+New plotting features
+---------------------
+
+Power-law normalization
+```````````````````````
+Ben Gamari added a power-law normalization method,
+:class:`~matplotlib.colors.PowerNorm`. This class maps a range of
+values to the interval [0,1] with power-law scaling with the exponent
+provided by the constructor's *gamma* argument. Power law normalization
+can be useful for, e.g., emphasizing small populations in a histogram.
+
+Fully customizable boxplots
+```````````````````````````
+Paul Hobson overhauled the :func:`~matplotlib.pyplot.boxplot` method such
+that it is now completely customizable in terms of the styles and positions
+of the individual artists. Under the hood, :func:`~matplotlib.pyplot.boxplot`
+relies on a new function (:func:`~matplotlib.cbook.boxplot_stats`), which
+accepts any data structure currently compatible with
+:func:`~matplotlib.pyplot.boxplot`, and returns a list of dictionaries
+containing the positions for each element of the boxplots. Then
+a second method, `~.Axes.bxp` is called to draw the boxplots
+based on the stats.
+
+The :func:`~matplotlib.pyplot.boxplot` function can be used as before to
+generate boxplots from data in one step. But now the user has the
+flexibility to generate the statistics independently, or to modify the
+output of :func:`~matplotlib.cbook.boxplot_stats` prior to plotting
+with `~.Axes.bxp`.
+
+Lastly, each artist (e.g., the box, outliers, cap, notches) can now be
+toggled on or off and their styles can be passed in through individual
+kwargs. See the examples:
+:doc:`/gallery/statistics/boxplot` and
+:doc:`/gallery/statistics/bxp`
+
+Added a bool kwarg, :code:`manage_xticks`, which if False disables the management
+of the ticks and limits on the x-axis by :func:`~matplotlib.axes.Axes.bxp`.
+
+Support for datetime axes in 2d plots
+`````````````````````````````````````
+Andrew Dawson added support for datetime axes to
+:func:`~matplotlib.pyplot.contour`, :func:`~matplotlib.pyplot.contourf`,
+:func:`~matplotlib.pyplot.pcolormesh` and :func:`~matplotlib.pyplot.pcolor`.
+
+Support for additional spectrum types
+`````````````````````````````````````
+Todd Jennings added support for new types of frequency spectrum plots:
+:func:`~matplotlib.pyplot.magnitude_spectrum`,
+:func:`~matplotlib.pyplot.phase_spectrum`, and
+:func:`~matplotlib.pyplot.angle_spectrum`, as well as corresponding functions
+in mlab.
+
+He also added these spectrum types to :func:`~matplotlib.pyplot.specgram`,
+as well as adding support for linear scaling there (in addition to the
+existing dB scaling). Support for additional spectrum types was also added to
+:func:`~matplotlib.mlab.specgram`.
+
+He also increased the performance for all of these functions and plot types.
+
+Support for detrending and windowing 2D arrays in mlab
+``````````````````````````````````````````````````````
+Todd Jennings added support for 2D arrays in the
+:func:`~matplotlib.mlab.detrend_mean`, :func:`~matplotlib.mlab.detrend_none`,
+and :func:`~matplotlib.mlab.detrend`, as well as adding
+``matplotlib.mlab.apply_window`` which support windowing 2D arrays.
+
+Support for strides in mlab
+```````````````````````````
+Todd Jennings added some functions to mlab to make it easier to use NumPy
+strides to create memory-efficient 2D arrays.  This includes
+``matplotlib.mlab.stride_repeat``, which repeats an array to create a 2D
+array, and ``matplotlib.mlab.stride_windows``, which uses a moving window
+to create a 2D array from a 1D array.
+
+Formatter for new-style formatting strings
+``````````````````````````````````````````
+Added `.StrMethodFormatter` which does the same job as
+`.FormatStrFormatter`, but accepts new-style formatting strings
+instead of printf-style formatting strings
+
+Consistent grid sizes in streamplots
+````````````````````````````````````
+:func:`~matplotlib.pyplot.streamplot` uses a base grid size of 30x30 for both
+``density=1`` and ``density=(1, 1)``. Previously a grid size of 30x30 was used for
+``density=1``, but a grid size of 25x25 was used for ``density=(1, 1)``.
+
+Get a list of all tick labels (major and minor)
+```````````````````````````````````````````````
+Added the kwarg 'which' to `.Axes.get_xticklabels`,
+`.Axes.get_yticklabels` and
+`.Axis.get_ticklabels`.  'which' can be 'major', 'minor', or
+'both' select which ticks to return, like
+`~.XAxis.set_ticks_position`.  If 'which' is `None` then the old
+behaviour (controlled by the bool *minor*).
+
+Separate horizontal/vertical axes padding support in ImageGrid
+``````````````````````````````````````````````````````````````
+The kwarg 'axes_pad' to :class:`mpl_toolkits.axes_grid1.axes_grid.ImageGrid` can now
+be a tuple if separate horizontal/vertical padding is needed.
+This is supposed to be very helpful when you have a labelled legend next to
+every subplot and you need to make some space for legend's labels.
+
+Support for skewed transformations
+``````````````````````````````````
+The :class:`~matplotlib.transforms.Affine2D` gained additional methods
+`.skew` and `.skew_deg` to create skewed transformations. Additionally,
+matplotlib internals were cleaned up to support using such transforms in
+`~matplotlib.axes.Axes`. This transform is important for some plot types,
+specifically the Skew-T used in meteorology.
+
+.. figure:: ../../gallery/specialty_plots/images/sphx_glr_skewt_001.png
+   :target: ../../gallery/specialty_plots/skewt.html
+   :align: center
+   :scale: 50
+
+Support for specifying properties of wedge and text in pie charts.
+``````````````````````````````````````````````````````````````````
+Added the kwargs 'wedgeprops' and 'textprops' to `~.Axes.pie`
+to accept properties for wedge and text objects in a pie. For example, one can
+specify wedgeprops = {'linewidth':3} to specify the width of the borders of
+the wedges in the pie. For more properties that the user can specify, look at
+the docs for the wedge and text objects.
+
+Fixed the direction of errorbar upper/lower limits
+``````````````````````````````````````````````````
+Larry Bradley fixed the :func:`~matplotlib.pyplot.errorbar` method such
+that the upper and lower limits (*lolims*, *uplims*, *xlolims*,
+*xuplims*) now point in the correct direction.
+
+More consistent add-object API for Axes
+```````````````````````````````````````
+Added the Axes method `~matplotlib.axes.Axes.add_image` to put image
+handling on a par with artists, collections, containers, lines, patches,
+and tables.
+
+Violin Plots
+````````````
+Per Parker, Gregory Kelsie, Adam Ortiz, Kevin Chan, Geoffrey Lee, Deokjae
+Donald Seo, and Taesu Terry Lim added a basic implementation for violin
+plots. Violin plots can be used to represent the distribution of sample data.
+They are similar to box plots, but use a kernel density estimation function to
+present a smooth approximation of the data sample used. The added features are:
+
+`~.Axes.violin` - Renders a violin plot from a collection of
+statistics.
+:func:`~matplotlib.cbook.violin_stats` - Produces a collection of statistics
+suitable for rendering a violin plot.
+:func:`~matplotlib.pyplot.violinplot` - Creates a violin plot from a set of
+sample data. This method makes use of :func:`~matplotlib.cbook.violin_stats`
+to process the input data, and :func:`~matplotlib.cbook.violin_stats` to
+do the actual rendering. Users are also free to modify or replace the output of
+:func:`~matplotlib.cbook.violin_stats` in order to customize the violin plots
+to their liking.
+
+This feature was implemented for a software engineering course at the
+University of Toronto, Scarborough, run in Winter 2014 by Anya Tafliovich.
+
+More *markevery* options to show only a subset of markers
+`````````````````````````````````````````````````````````
+Rohan Walker extended the *markevery* property in
+:class:`~matplotlib.lines.Line2D`.  You can now specify a subset of markers to
+show with an int, slice object, numpy fancy indexing, or float. Using a float
+shows markers at approximately equal display-coordinate-distances along the
+line.
+
+Added size related functions to specialized `.Collection`\s
+```````````````````````````````````````````````````````````
+
+Added the ``get_size`` and ``set_size`` functions to control the size of
+elements of specialized collections (
+:class:`~matplotlib.collections.AsteriskPolygonCollection`
+``matplotlib.collections.BrokenBarHCollection``
+:class:`~matplotlib.collections.CircleCollection`
+:class:`~matplotlib.collections.PathCollection`
+:class:`~matplotlib.collections.PolyCollection`
+:class:`~matplotlib.collections.RegularPolyCollection`
+:class:`~matplotlib.collections.StarPolygonCollection`).
+
+
+Fixed the mouse coordinates giving the wrong theta value in Polar graph
+```````````````````````````````````````````````````````````````````````
+Added code to
+`~.polar.InvertedPolarTransform.transform_non_affine`
+to ensure that the calculated theta value was between the range of 0 and 2 * pi
+since the problem was that the value can become negative after applying the
+direction and rotation to the theta calculation.
+
+Simple quiver plot for mplot3d toolkit
+``````````````````````````````````````
+A team of students in an *Engineering Large Software Systems* course, taught
+by Prof. Anya Tafliovich at the University of Toronto, implemented a simple
+version of a quiver plot in 3D space for the mplot3d toolkit as one of their
+term project. This feature is documented in `~.Axes3D.quiver`.
+The team members are: Ryan Steve D'Souza, Victor B, xbtsw, Yang Wang, David,
+Caradec Bisesar and Vlad Vassilovski.
+
+.. figure:: ../../gallery/mplot3d/images/sphx_glr_quiver3d_001.png
+   :target: ../../gallery/mplot3d/quiver3d.html
+   :align: center
+   :scale: 50
+
+polar-plot r-tick locations
+```````````````````````````
+Added the ability to control the angular position of the r-tick labels
+on a polar plot via `~.PolarAxes.set_rlabel_position`.
+
+
+Date handling
+-------------
+
+n-d array support for date conversion
+``````````````````````````````````````
+Andrew Dawson added support for n-d array handling to
+:func:`matplotlib.dates.num2date`, :func:`matplotlib.dates.date2num`
+and :func:`matplotlib.dates.datestr2num`. Support is also added to the unit
+conversion interfaces :class:`matplotlib.dates.DateConverter` and
+:class:`matplotlib.units.Registry`.
+
+
+Configuration (rcParams)
+------------------------
+
+
+``savefig.transparent`` added
+`````````````````````````````
+Controls whether figures are saved with a transparent
+background by default.  Previously `~.Figure.savefig` always defaulted
+to a non-transparent background.
+
+
+``axes.titleweight``
+````````````````````
+Added rcParam to control the weight of the title
+
+``axes.formatter.useoffset`` added
+``````````````````````````````````
+Controls the default value of *useOffset* in `.ScalarFormatter`.  If
+`True` and the data range is much smaller than the data average, then
+an offset will be determined such that the tick labels are
+meaningful. If `False` then the full number will be formatted in all
+conditions.
+
+``nbagg.transparent`` added
+`````````````````````````````
+Controls whether nbagg figures have a transparent
+background. ``nbagg.transparent`` is ``True`` by default.
+
+
+XDG compliance
+``````````````
+Matplotlib now looks for configuration files (both rcparams and style) in XDG
+compliant locations.
+
+``style`` package added
+-----------------------
+You can now easily switch between different styles using the new ``style``
+package::
+
+   >>> from matplotlib import style
+   >>> style.use('dark_background')
+
+Subsequent plots will use updated colors, sizes, etc. To list all available
+styles, use::
+
+   >>> print style.available
+
+You can add your own custom ``<style name>.mplstyle`` files to
+``~/.matplotlib/stylelib`` or call ``use`` with a URL pointing to a file with
+``matplotlibrc`` settings.
+
+*Note that this is an experimental feature*, and the interface may change as
+users test out this new feature.
+
+Backends
+--------
+Qt5 backend
+```````````
+Martin Fitzpatrick and Tom Badran implemented a Qt5 backend.  The differences
+in namespace locations between Qt4 and Qt5 was dealt with by shimming
+Qt4 to look like Qt5, thus the Qt5 implementation is the primary implementation.
+Backwards compatibility for Qt4 is maintained by wrapping the Qt5 implementation.
+
+The Qt5Agg backend currently does not work with IPython's %matplotlib magic.
+
+The 1.4.0 release has a known bug where the toolbar is broken.  This can be
+fixed by: ::
+
+   cd path/to/installed/matplotlib
+   wget https://github.com/matplotlib/matplotlib/pull/3322.diff
+   # unix2dos 3322.diff (if on windows to fix line endings)
+   patch -p2 < 3322.diff
+
+Qt4 backend
+```````````
+Rudolf Höfler changed the appearance of the subplottool. All sliders are
+vertically arranged now, buttons for tight layout and reset were
+added. Furthermore, the subplottool is now implemented as a modal
+dialog. It was previously a QMainWindow, leaving the SPT open if one closed the
+plot window.
+
+In the figure options dialog one can now choose to (re-)generate a simple
+automatic legend. Any explicitly set legend entries will be lost, but changes to
+the curves' label, linestyle, et cetera will now be updated in the legend.
+
+Interactive performance of the Qt4 backend has been dramatically improved
+under windows.
+
+The mapping of key-signals from Qt to values matplotlib understands
+was greatly improved (For both Qt4 and Qt5).
+
+Cairo backends
+``````````````
+
+The Cairo backends are now able to use the `cairocffi bindings
+<https://github.com/SimonSapin/cairocffi>`__ which are more actively
+maintained than the `pycairo bindings
+<https://www.cairographics.org/pycairo/>`__.
+
+Gtk3Agg backend
+```````````````
+
+The Gtk3Agg backend now works on Python 3.x, if the `cairocffi
+bindings <https://github.com/SimonSapin/cairocffi>`__ are installed.
+
+PDF backend
+```````````
+Added context manager for saving to multi-page PDFs.
+
+Text
+----
+
+Text URLs supported by SVG backend
+``````````````````````````````````
+
+The SVG backend will now render :class:`~matplotlib.text.Text` objects'
+url as a link in output SVGs.  This allows one to make clickable text in
+saved figures using the url kwarg of the :class:`~matplotlib.text.Text`
+class.
+
+Anchored sizebar font
+`````````````````````
+Added the ``fontproperties`` kwarg to
+`~mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar` to
+control the font properties.
+
+Sphinx extensions
+-----------------
+
+The ``:context:`` directive in the `~matplotlib.sphinxext.plot_directive`
+Sphinx extension can now accept an optional ``reset`` setting, which will
+cause the context to be reset. This allows more than one distinct context to
+be present in documentation. To enable this option, use ``:context: reset``
+instead of ``:context:`` any time you want to reset the context.
+
+Legend and PathEffects documentation
+------------------------------------
+The :ref:`legend_guide` and :ref:`patheffects_guide` have both been
+updated to better reflect the full potential of each of these powerful
+features.
+
+Widgets
+-------
+
+Span Selector
+`````````````
+
+Added an option ``span_stays`` to the
+:class:`~matplotlib.widgets.SpanSelector` which makes the selector
+rectangle stay on the axes after you release the mouse.
+
+GAE integration
+---------------
+Matplotlib will now run on google app engine.
diff --git a/doc/users/prev_whats_new/whats_new_1.5.rst b/doc/users/prev_whats_new/whats_new_1.5.rst
new file mode 100644
index 000000000000..5bb4d4b9b5e9
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_1.5.rst
@@ -0,0 +1,729 @@
+.. _whats-new-1-5:
+
+What's new in Matplotlib 1.5 (Oct 29, 2015)
+===========================================
+
+.. contents:: Table of Contents
+   :depth: 2
+
+
+.. note::
+
+   matplotlib 1.5 supports Python 2.7, 3.4, and 3.5
+
+
+
+
+
+
+Interactive OO usage
+--------------------
+
+All `.Artist`\s now keep track of if their internal state has been
+changed but not reflected in the display ('stale') by a call to
+``draw``.  It is thus possible to pragmatically determine if a given
+`.Figure` needs to be re-drawn in an interactive session.
+
+To facilitate interactive usage a ``draw_all`` method has been added
+to ``pyplot`` which will redraw all of the figures which are 'stale'.
+
+To make this convenient for interactive use matplotlib now registers
+a function either with IPython's 'post_execute' event or with the
+displayhook in the standard python REPL to automatically call
+``plt.draw_all`` just before control is returned to the REPL.  This ensures
+that the draw command is deferred and only called once.
+
+The upshot of this is that for interactive backends (including
+``%matplotlib notebook``) in interactive mode (with ``plt.ion()``)
+
+.. code-block:: python
+
+   import matplotlib.pyplot as plt
+   fig, ax = plt.subplots()
+   ln, = ax.plot([0, 1, 4, 9, 16])
+   plt.show()
+   ln.set_color('g')
+
+
+will automatically update the plot to be green.  Any subsequent
+modifications to the ``Artist`` objects will do likewise.
+
+This is the first step of a larger consolidation and simplification of
+the pyplot internals.
+
+
+Working with labeled data like pandas DataFrames
+------------------------------------------------
+Plot methods which take arrays as inputs can now also work with labeled data
+and unpack such data.
+
+This means that the following two examples produce the same plot:
+
+Example ::
+
+    df = pandas.DataFrame({"var1":[1,2,3,4,5,6], "var2":[1,2,3,4,5,6]})
+    plt.plot(df["var1"], df["var2"])
+
+
+Example ::
+
+    plt.plot("var1", "var2", data=df)
+
+This works for most plotting methods, which expect arrays/sequences as
+inputs.  ``data`` can be anything which supports ``__getitem__``
+(``dict``, ``pandas.DataFrame``, ``h5py``, ...) to access ``array`` like
+values with string keys.
+
+In addition to this, some other changes were made, which makes working with
+labeled data (ex ``pandas.Series``) easier:
+
+* For plotting methods with ``label`` keyword argument, one of the
+  data inputs is designated as the label source.  If the user does not
+  supply a ``label`` that value object will be introspected for a
+  label, currently by looking for a ``name`` attribute.  If the value
+  object does not have a ``name`` attribute but was specified by as a
+  key into the ``data`` kwarg, then the key is used.  In the above
+  examples, this results in an implicit ``label="var2"`` for both
+  cases.
+
+* ``plot()`` now uses the index of a ``Series`` instead of
+  ``np.arange(len(y))``, if no ``x`` argument is supplied.
+
+
+Added ``axes.prop_cycle`` key to rcParams
+-----------------------------------------
+
+This is a more generic form of the now-deprecated ``axes.color_cycle`` param.
+Now, we can cycle more than just colors, but also linestyles, hatches,
+and just about any other artist property. Cycler notation is used for
+defining property cycles. Adding cyclers together will be like you are
+`zip`-ing together two or more property cycles together::
+
+    axes.prop_cycle: cycler('color', 'rgb') + cycler('lw', [1, 2, 3])
+
+You can even multiply cyclers, which is like using `itertools.product`
+on two or more property cycles.
+
+.. figure:: /users/explain/artists/images/sphx_glr_color_cycle_001.png
+   :target: /users/explain/artists/color_cycle.html
+   :align: center
+   :scale: 50
+
+New Colormaps
+-------------
+
+All four of the colormaps proposed as the new default are available
+as ``'viridis'`` (the new default in 2.0), ``'magma'``, ``'plasma'``, and
+``'inferno'``
+
+.. plot::
+
+   import numpy as np
+   from cycler import cycler
+   cmap = cycler('cmap', ['viridis', 'magma','plasma', 'inferno'])
+   x_mode = cycler('x', [1, 2])
+   y_mode = cycler('y', x_mode)
+
+   cy = (x_mode * y_mode) + cmap
+
+   def demo(ax, x, y, cmap):
+       X, Y = np.ogrid[0:2*np.pi:200j, 0:2*np.pi:200j]
+       data = np.sin(X*x) * np.cos(Y*y)
+       ax.imshow(data, interpolation='none', cmap=cmap)
+       ax.set_title(cmap)
+
+   fig, axes = plt.subplots(2, 2)
+   for ax, sty in zip(axes.ravel(), cy):
+       demo(ax, **sty)
+
+   fig.tight_layout()
+
+
+Styles
+------
+
+Several new styles have been added, including many styles from the
+Seaborn project.  Additionally, in order to prep for the upcoming 2.0
+style-change release, a 'classic' and 'default' style has been added.
+For this release, the 'default' and 'classic' styles are identical.
+By using them now in your scripts, you can help ensure a smooth
+transition during future upgrades of matplotlib, so that you can
+upgrade to the snazzy new defaults when you are ready! ::
+
+    import matplotlib.style
+    matplotlib.style.use('classic')
+
+The 'default' style will give you matplotlib's latest plotting styles::
+
+    matplotlib.style.use('default')
+
+Backends
+--------
+
+New backend selection
+`````````````````````
+
+The environment variable :envvar:`MPLBACKEND` can now be used to set the
+matplotlib backend.
+
+
+wx backend has been updated
+```````````````````````````
+
+The wx backend can now be used with both wxPython classic and
+`Phoenix <https://wxpython.org/Phoenix/docs/html/main.html>`__.
+
+wxPython classic has to be at least version 2.8.12 and works on Python 2.x. As
+of May 2015 no official release of wxPython Phoenix is available but a
+current snapshot will work on Python 2.7+ and 3.4+.
+
+If you have multiple versions of wxPython installed, then the user code is
+responsible setting the wxPython version.  How to do this is
+explained in the comment at the beginning of the example
+:doc:`/gallery/user_interfaces/embedding_in_wx2_sgskip`.
+
+Configuration (rcParams)
+------------------------
+
+Some parameters have been added, others have been improved.
+
++---------------------------+--------------------------------------------------+
+| Parameter                 | Description                                      |
++===========================+==================================================+
+|``xaxis.labelpad``,        | mplot3d now respects these attributes, which     |
+|``yaxis.labelpad``         | default to :rc:`axes.labelpad`                   |
++---------------------------+--------------------------------------------------+
+|:rc:`axes.labelpad`        | Default space between the axis and the label     |
++---------------------------+--------------------------------------------------+
+|:rc:`errorbar.capsize`     | Default length of end caps on error bars         |
++---------------------------+--------------------------------------------------+
+|:rc:`xtick.minor.visible`, | Default visibility of minor x/y ticks            |
+|:rc:`ytick.minor.visible`  |                                                  |
++---------------------------+--------------------------------------------------+
+|:rc:`legend.framealpha`    | Default transparency of the legend frame box     |
++---------------------------+--------------------------------------------------+
+|:rc:`legend.facecolor`     | Default facecolor of legend frame box (or        |
+|                           | ``'inherit'`` from :rc:`axes.facecolor`)         |
++---------------------------+--------------------------------------------------+
+|:rc:`legend.edgecolor`     | Default edgecolor of legend frame box (or        |
+|                           | ``'inherit'`` from :rc:`axes.edgecolor`)         |
++---------------------------+--------------------------------------------------+
+|:rc:`figure.titlesize`     | Default font size for figure suptitles           |
++---------------------------+--------------------------------------------------+
+|:rc:`figure.titleweight`   | Default font weight for figure suptitles         |
++---------------------------+--------------------------------------------------+
+|:rc:`image.composite_image`| Whether a vector graphics backend should         |
+|                           | composite several images into a single image or  |
+|                           | not when saving. Useful when needing to edit the |
+|                           | files further in Inkscape or other programs.     |
++---------------------------+--------------------------------------------------+
+|:rc:`markers.fillstyle`    | Default fillstyle of markers. Possible values    |
+|                           | are ``'full'`` (the default), ``'left'``,        |
+|                           | ``'right'``, ``'bottom'``, ``'top'`` and         |
+|                           | ``'none'``                                       |
++---------------------------+--------------------------------------------------+
+|:rc:`toolbar`              | Added ``'toolmanager'`` as a valid value,        |
+|                           | enabling the experimental ``ToolManager``        |
+|                           | feature.                                         |
++---------------------------+--------------------------------------------------+
+
+
+Widgets
+-------
+
+Active state of Selectors
+`````````````````````````
+
+All selectors now implement ``set_active`` and ``get_active`` methods (also
+called when accessing the ``active`` property) to properly update and query
+whether they are active.
+
+
+Moved ``ignore``, ``set_active``, and ``get_active`` methods to base class ``Widget``
+`````````````````````````````````````````````````````````````````````````````````````
+
+Pushes up duplicate methods in child class to parent class to avoid duplication of code.
+
+
+Adds enable/disable feature to MultiCursor
+``````````````````````````````````````````
+
+A MultiCursor object can be disabled (and enabled) after it has been created without destroying the object.
+Example::
+
+  multi_cursor.active = False
+
+
+Improved RectangleSelector and new EllipseSelector Widget
+`````````````````````````````````````````````````````````
+
+Adds an *interactive* keyword which enables visible handles for manipulating the shape after it has been drawn.
+
+Adds keyboard modifiers for:
+
+- Moving the existing shape (default key = 'space')
+- Making the shape square (default 'shift')
+- Make the initial point the center of the shape (default 'control')
+- Square and center can be combined
+
+Allow Artists to Display Pixel Data in Cursor
+`````````````````````````````````````````````
+
+Adds `~.Artist.get_cursor_data` and `~.Artist.format_cursor_data` methods to artists
+which can be used to add zdata to the cursor display
+in the status bar.  Also adds an implementation for Images.
+
+
+New plotting features
+---------------------
+
+
+Auto-wrapping Text
+``````````````````
+
+Added the keyword argument "wrap" to Text, which automatically breaks
+long lines of text when being drawn.  Works for any rotated text,
+different modes of alignment, and for text that are either labels or
+titles.  This breaks at the ``Figure``, not ``Axes`` edge.
+
+.. plot::
+
+   fig, ax = plt.subplots()
+   fig.patch.set_color('.9')
+   ax.text(.5, .75,
+           "This is a really long string that should be wrapped so that "
+           "it does not go outside the figure.", wrap=True)
+
+Contour plot corner masking
+```````````````````````````
+
+Ian Thomas rewrote the C++ code that calculates contours to add support for
+corner masking.  This is controlled by a new keyword argument
+``corner_mask`` in the functions :func:`~matplotlib.pyplot.contour` and
+:func:`~matplotlib.pyplot.contourf`.  The previous behaviour, which is now
+obtained using ``corner_mask=False``, was for a single masked point to
+completely mask out all four quads touching that point.  The new behaviour,
+obtained using ``corner_mask=True``, only masks the corners of those
+quads touching the point; any triangular corners comprising three unmasked
+points are contoured as usual.  If the ``corner_mask`` keyword argument is not
+specified, the default value is taken from rcParams.
+
+.. figure:: ../../gallery/images_contours_and_fields/images/sphx_glr_contour_corner_mask_001.png
+   :target: ../../gallery/images_contours_and_fields/contour_corner_mask.html
+   :align: center
+   :scale: 50
+
+Mostly unified linestyles for `.Line2D`, `.Patch` and `.Collection`
+```````````````````````````````````````````````````````````````````
+
+The handling of linestyles for Lines, Patches and Collections has been
+unified.  Now they all support defining linestyles with short symbols,
+like "--", as well as with full names, like "dashed". Also the
+definition using a dash pattern (``(0., [3., 3.])``) is supported for all
+methods using `.Line2D`, `.Patch` or `.Collection`.
+
+
+Legend marker order
+```````````````````
+
+Added ability to place the label before the marker in a legend box with
+``markerfirst`` keyword
+
+
+Support for legend for PolyCollection and stackplot
+```````````````````````````````````````````````````
+
+Added a :mod:`.legend_handler` for :class:`~matplotlib.collections.PolyCollection` as well as a *labels* argument to
+:func:`~matplotlib.axes.Axes.stackplot`.
+
+
+Support for alternate pivots in mplot3d quiver plot
+```````````````````````````````````````````````````
+
+Added a :code:`pivot` kwarg to `~.Axes3D.quiver`
+that controls the pivot point around which the quiver line rotates. This also
+determines the placement of the arrow head along the quiver line.
+
+
+Logit Scale
+```````````
+
+Added support for the 'logit' axis scale, a nonlinear transformation
+
+.. math::
+
+   x -> \log10(x / (1-x))
+
+for data between 0 and 1 excluded.
+
+
+Add step kwargs to fill_between
+```````````````````````````````
+
+Added ``step`` kwarg to `.Axes.fill_between` to allow to fill between
+lines drawn using the 'step' draw style.  The values of ``step`` match
+those of the ``where`` kwarg of `.Axes.step`.  The asymmetry of the
+kwargs names is not ideal, but `.Axes.fill_between` already has a
+``where`` kwarg.
+
+This is particularly useful for plotting pre-binned histograms.
+
+Square Plot
+```````````
+
+Implemented square plots feature as a new parameter in the axis
+function. When argument 'square' is specified, equal scaling is set,
+and the limits are set such that ``xmax-xmin == ymax-ymin``.
+
+.. plot::
+
+   fig, ax = plt.subplots()
+   ax.axis('square')
+
+
+Updated figimage to take optional resize parameter
+``````````````````````````````````````````````````
+
+Added the ability to plot simple 2D-Array using ``plt.figimage(X, resize=True)``.
+This is useful for plotting simple 2D-Array without the Axes or whitespacing
+around the image.
+
+.. plot::
+
+   data = np.random.random([500, 500])
+   plt.figimage(data, resize=True)
+
+Updated Figure.savefig() can now use figure's dpi
+`````````````````````````````````````````````````
+
+Added support to save the figure with the same dpi as the figure on the
+screen using ``dpi='figure'``:.
+
+Example::
+
+   f = plt.figure(dpi=25)  # dpi set to 25
+   S = plt.scatter([1,2,3],[4,5,6])
+   f.savefig('output.png', dpi='figure')  # output savefig dpi set to 25 (same as figure)
+
+
+Updated Table to control edge visibility
+````````````````````````````````````````
+
+Added the ability to toggle the visibility of lines in Tables.
+Functionality added to the `.pyplot.table` factory function under
+the keyword argument "edges".  Values can be the strings "open", "closed",
+"horizontal", "vertical" or combinations of the letters "L", "R", "T",
+"B" which represent left, right, top, and bottom respectively.
+
+Example::
+
+    table(..., edges="open")  # No line visible
+    table(..., edges="closed")  # All lines visible
+    table(..., edges="horizontal")  # Only top and bottom lines visible
+    table(..., edges="LT")  # Only left and top lines visible.
+
+Zero r/cstride support in plot_wireframe
+````````````````````````````````````````
+
+Adam Hughes added support to mplot3d's plot_wireframe to draw only row or
+column line plots.
+
+
+.. plot::
+
+    from mpl_toolkits.mplot3d import Axes3D, axes3d
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.plot_wireframe(X, Y, Z, rstride=10, cstride=0)
+
+
+Plot bar and barh with labels
+`````````````````````````````
+
+Added kwarg *tick_label* to `~.Axes.bar` and `~.Axes.barh` to support plotting bar graphs with a
+text label for each bar.
+
+.. plot::
+
+   plt.bar([1, 2], [.5, .75], tick_label=['bar1', 'bar2'],
+           align='center')
+
+Added center and frame kwargs to pie
+````````````````````````````````````
+
+These control where the center of the pie graph are and if
+the Axes frame is shown.
+
+Fixed 3D filled contour plot polygon rendering
+``````````````````````````````````````````````
+
+Certain cases of 3D filled contour plots that produce polygons with multiple
+holes produced improper rendering due to a loss of path information between
+:class:`~matplotlib.collections.PolyCollection` and
+:class:`~mpl_toolkits.mplot3d.art3d.Poly3DCollection`.  A function
+:func:`~matplotlib.collections.PolyCollection.set_verts_and_codes` was
+added to allow path information to be retained for proper rendering.
+
+Dense colorbars are rasterized
+``````````````````````````````
+
+Vector file formats (pdf, ps, svg) are efficient for
+many types of plot element, but for some they can yield
+excessive file size and even rendering artifacts, depending
+on the renderer used for screen display.  This is a problem
+for colorbars that show a large number of shades, as is
+most commonly the case.  Now, if a colorbar is showing
+50 or more colors, it will be rasterized in vector
+backends.
+
+
+DateFormatter strftime
+``````````````````````
+:class:`~matplotlib.dates.DateFormatter`\ 's ``__call__`` method will format
+a :class:`datetime.datetime` object with the format string passed to
+the formatter's constructor. This method accepts datetimes with years
+before 1900, unlike :meth:`datetime.datetime.strftime`.
+
+
+Artist-level {get,set}_usetex for text
+``````````````````````````````````````
+
+Add ``{get,set}_usetex`` methods to :class:`~matplotlib.text.Text` objects
+which allow artist-level control of LaTeX rendering vs. the internal mathtex
+rendering.
+
+
+``Axes.remove()`` works as expected
+```````````````````````````````````
+
+As with artists added to an :class:`~matplotlib.axes.Axes`,
+`~.axes.Axes` objects can be removed from their figure via
+`~.Artist.remove()`.
+
+
+API Consistency fix within Locators set_params() function
+`````````````````````````````````````````````````````````
+
+:meth:`~matplotlib.ticker.Locator.set_params` function, which sets parameters
+within a :class:`~matplotlib.ticker.Locator` type
+instance, is now available to all `.Locator` types. The implementation
+also prevents unsafe usage by strictly defining the parameters that a
+user can set.
+
+To use, call ``set_params()`` on a `.Locator` instance with desired arguments:
+
+.. code-block:: python
+
+    loc = matplotlib.ticker.LogLocator()
+    # Set given attributes for loc.
+    loc.set_params(numticks=8, numdecs=8, subs=[2.0], base=8)
+    # The below will error, as there is no such parameter for LogLocator
+    # named foo
+    # loc.set_params(foo='bar')
+
+
+Date Locators
+`````````````
+
+Date Locators (derived from :class:`~matplotlib.dates.DateLocator`) now
+implement the `~matplotlib.ticker.Locator.tick_values` method.
+This is expected of all Locators derived from `~matplotlib.ticker.Locator`.
+
+The Date Locators can now be used easily without creating axes ::
+
+    from datetime import datetime
+    from matplotlib.dates import YearLocator
+    t0 = datetime(2002, 10, 9, 12, 10)
+    tf = datetime(2005, 10, 9, 12, 15)
+    loc = YearLocator()
+    values = loc.tick_values(t0, tf)
+
+OffsetBoxes now support clipping
+````````````````````````````````
+
+`.Artist`\s draw onto objects of type `.OffsetBox`
+through `~.offsetbox.DrawingArea` and `~.offsetbox.TextArea`.
+The `.TextArea` calculates the required space for the text and so the
+text is always within the bounds, for this nothing has changed.
+
+However, `.DrawingArea` acts as a parent for zero or more `.Artist`\s that
+draw on it and may do so beyond the bounds. Now child `.Artist`\s can be
+clipped to the bounds of the `.DrawingArea`.
+
+
+OffsetBoxes now considered by tight_layout
+``````````````````````````````````````````
+
+When `~matplotlib.pyplot.tight_layout()` or `.Figure.tight_layout`
+or `.GridSpec.tight_layout()` is called, `.OffsetBox`\es that are
+anchored outside the axes will not get chopped out. The `.OffsetBox`\es will
+also not get overlapped by other axes in case of multiple subplots.
+
+Per-page pdf notes in multi-page pdfs (PdfPages)
+````````````````````````````````````````````````
+
+Add a new method :meth:`~matplotlib.backends.backend_pdf.PdfPages.attach_note`
+to the PdfPages class, allowing the
+attachment of simple text notes to pages in a multi-page pdf of
+figures. The new note is visible in the list of pdf annotations in a
+viewer that has this facility (Adobe Reader, OSX Preview, Skim,
+etc.). Per default the note itself is kept off-page to prevent it to
+appear in print-outs.
+
+`.PdfPages.attach_note` needs to be called before `~.Figure.savefig` in order to be
+added to the correct figure.
+
+Updated fignum_exists to take figure name
+`````````````````````````````````````````
+
+Added the ability to check the existence of a figure using its name
+instead of just the figure number.
+Example::
+
+  figure('figure')
+  fignum_exists('figure') #true
+
+
+ToolManager
+-----------
+
+Federico Ariza wrote the new `~matplotlib.backend_managers.ToolManager`
+that comes as replacement for `.NavigationToolbar2`
+
+`.ToolManager` offers a new way of looking at the user interactions
+with the figures.  Before we had the `.NavigationToolbar2` with its own
+tools like ``zoom/pan/home/save/...`` and also we had the shortcuts like
+``yscale/grid/quit/....``. `.ToolManager` relocate all those actions as
+Tools (located in `~matplotlib.backend_tools`), and defines a way to
+access/trigger/reconfigure them.
+
+The Toolbars are replaced by `.ToolContainerBase`\s that are just GUI
+interfaces to trigger the tools. But don't worry the default
+backends include a `.ToolContainerBase` called ``toolbar``
+
+
+.. note::
+    At the moment, we release this primarily for feedback purposes and should
+    be treated as experimental until further notice as API changes will occur.
+    For the moment the `.ToolManager` works only with the GTK3 and Tk backends.
+    Make sure you use one of those.
+    Port for the rest of the backends is coming soon.
+
+    To activate the `.ToolManager` include the following at the top of your file ::
+
+      >>> matplotlib.rcParams['toolbar'] = 'toolmanager'
+
+
+Interact with the ToolContainer
+```````````````````````````````
+
+The most important feature is the ability to easily reconfigure the ToolContainer (aka toolbar).
+For example, if we want to remove the "forward" button we would just do. ::
+
+ >>> fig.canvas.manager.toolmanager.remove_tool('forward')
+
+Now if you want to programmatically trigger the "home" button ::
+
+ >>> fig.canvas.manager.toolmanager.trigger_tool('home')
+
+
+New Tools for ToolManager
+`````````````````````````
+
+It is possible to add new tools to the ToolManager
+
+A very simple tool that prints "You're awesome" would be::
+
+    from matplotlib.backend_tools import ToolBase
+    class AwesomeTool(ToolBase):
+        def trigger(self, *args, **kwargs):
+            print("You're awesome")
+
+
+To add this tool to `.ToolManager`
+
+ >>> fig.canvas.manager.toolmanager.add_tool('Awesome', AwesomeTool)
+
+If we want to add a shortcut ("d") for the tool
+
+ >>> fig.canvas.manager.toolmanager.update_keymap('Awesome', 'd')
+
+
+To add it to the toolbar inside the group 'foo'
+
+ >>> fig.canvas.manager.toolbar.add_tool('Awesome', 'foo')
+
+
+There is a second class of tools, "Toggleable Tools", this are almost
+the same as our basic tools, just that belong to a group, and are
+mutually exclusive inside that group.  For tools derived from
+`.ToolToggleBase` there are two basic methods `~.ToolToggleBase.enable` and `~.ToolToggleBase.disable`
+that are called automatically whenever it is toggled.
+
+
+A full example is located in :doc:`/gallery/user_interfaces/toolmanager_sgskip`
+
+
+cbook.is_sequence_of_strings recognizes string objects
+------------------------------------------------------
+
+This is primarily how pandas stores a sequence of strings ::
+
+    import pandas as pd
+    import matplotlib.cbook as cbook
+
+    a = np.array(['a', 'b', 'c'])
+    print(cbook.is_sequence_of_strings(a))  # True
+
+    a = np.array(['a', 'b', 'c'], dtype=object)
+    print(cbook.is_sequence_of_strings(a))  # True
+
+    s = pd.Series(['a', 'b', 'c'])
+    print(cbook.is_sequence_of_strings(s))  # True
+
+Previously, the last two prints returned false.
+
+
+New ``close-figs`` argument for plot directive
+----------------------------------------------
+
+Matplotlib has a sphinx extension ``plot_directive`` that creates plots for
+inclusion in sphinx documents.  Matplotlib 1.5 adds a new option to the plot
+directive - ``close-figs`` - that closes any previous figure windows before
+creating the plots.  This can help avoid some surprising duplicates of plots
+when using ``plot_directive``.
+
+Support for URL string arguments to ``imread``
+----------------------------------------------
+
+The :func:`~matplotlib.pyplot.imread` function now accepts URL strings that
+point to remote PNG files. This circumvents the generation of a
+HTTPResponse object directly.
+
+Display hook for animations in the IPython notebook
+---------------------------------------------------
+
+`~matplotlib.animation.Animation` instances gained a ``_repr_html_`` method
+to support inline display of animations in the notebook. The method used
+to display is controlled by the ``animation.html`` rc parameter, which
+currently supports values of ``none`` and ``html5``. ``none`` is the
+default, performing no display. ``html5`` converts the animation to an
+h264 encoded video, which is embedded directly in the notebook.
+
+Users not wishing to use the ``_repr_html_`` display hook can also manually
+call the `.to_html5_video` method to get the HTML and display using
+IPython's ``HTML`` display class::
+
+    from IPython.display import HTML
+    HTML(anim.to_html5_video())
+
+Prefixed pkg-config for building
+--------------------------------
+
+Handling of pkg-config has been fixed in so far as it is now possible to set it
+using the environment variable ``PKG_CONFIG``. This is important if your
+toolchain is prefixed. This is done in a simpilar way as setting ``CC``
+or ``CXX`` before building. An example follows::
+
+    export PKG_CONFIG=x86_64-pc-linux-gnu-pkg-config
diff --git a/doc/users/prev_whats_new/whats_new_2.0.0.rst b/doc/users/prev_whats_new/whats_new_2.0.0.rst
new file mode 100644
index 000000000000..0f5edb7c0e3f
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_2.0.0.rst
@@ -0,0 +1,318 @@
+.. _whats-new-2-0-0:
+
+What's new in Matplotlib 2.0 (Jan 17, 2017)
+===========================================
+
+.. note::
+
+   Matplotlib 2.0 supports Python 2.7, and 3.4+
+
+
+
+Default style changes
+---------------------
+
+The major changes in v2.0 are related to overhauling the default styles.
+
+.. toctree::
+   :maxdepth: 2
+
+   dflt_style_changes
+
+
+Improved color conversion API and RGBA support
+----------------------------------------------
+
+The :mod:`~matplotlib.colors` gained a new color conversion API with
+full support for the alpha channel.  The main public functions are
+:func:`~matplotlib.colors.is_color_like`, :func:`matplotlib.colors.to_rgba`,
+:func:`matplotlib.colors.to_rgba_array` and :func:`~matplotlib.colors.to_hex`.
+RGBA quadruplets are encoded in hex format as "#rrggbbaa".
+
+A side benefit is that the Qt options editor now allows setting the alpha
+channel of the artists as well.
+
+
+New Configuration (rcParams)
+----------------------------
+
+New rcparams added
+
++-------------------------------------+--------------------------------------------------+
+| Parameter                           | Description                                      |
++=====================================+==================================================+
+|:rc:`date.autoformatter.year`        | format string for 'year' scale dates             |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.month`       | format string for 'month' scale dates            |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.day`         | format string for 'day' scale dates              |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.hour`        | format string for 'hour' scale times             |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.minute`      | format string for 'minute' scale times           |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.second`      | format string for 'second' scale times           |
++-------------------------------------+--------------------------------------------------+
+|:rc:`date.autoformatter.microsecond` | format string for 'microsecond' scale times      |
++-------------------------------------+--------------------------------------------------+
+|:rc:`scatter.marker`                 | default marker for scatter plot                  |
++-------------------------------------+--------------------------------------------------+
+|:rc:`svg.hashsalt`                   | see note                                         |
++-------------------------------------+--------------------------------------------------+
+|:rc:`xtick.top`,                     | Control where major and minor ticks are drawn.   |
+|:rc:`xtick.major.top`                | The global values are ``and``\ed with the        |
+|:rc:`xtick.minor.top`,               | corresponding major/minor values.                |
+|:rc:`xtick.bottom`,                  | corresponding major/minor values.                |
+|:rc:`xtick.major.bottom`             |                                                  |
+|:rc:`xtick.minor.bottom`,            |                                                  |
+|:rc:`ytick.left`,                    |                                                  |
+|:rc:`ytick.minor.left`,              |                                                  |
+|:rc:`ytick.major.left`               |                                                  |
+|:rc:`ytick.right`,                   |                                                  |
+|:rc:`ytick.minor.right`,             |                                                  |
+|:rc:`ytick.major.right`              |                                                  |
++-------------------------------------+--------------------------------------------------+
+|:rc:`hist.bins`                      | The default number of bins to use in             |
+|                                     | `~matplotlib.axes.Axes.hist`.  This can be an    |
+|                                     | `int`, a list of floats, or ``'auto'`` if numpy  |
+|                                     | >= 1.11 is installed.                            |
++-------------------------------------+--------------------------------------------------+
+|:rc:`lines.scale_dashes`             | Whether the line dash patterns should scale with |
+|                                     | linewidth.                                       |
++-------------------------------------+--------------------------------------------------+
+|:rc:`axes.formatter.offset_threshold`| Minimum number of digits saved in tick labels    |
+|                                     | that triggers using an offset.                   |
++-------------------------------------+--------------------------------------------------+
+
+
+
+Added ``svg.hashsalt`` key to rcParams
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If ``svg.hashsalt`` is ``None`` (which it is by default), the svg
+backend uses ``uuid4`` to generate the hash salt.  If it is not
+``None``, it must be a string that is used as the hash salt instead of
+``uuid4``.  This allows for deterministic SVG output.
+
+
+Removed the ``svg.image_noscale`` rcParam
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+As a result of the extensive changes to image handling, the
+``svg.image_noscale`` rcParam has been removed.  The same
+functionality may be achieved by setting ``interpolation='none'`` on
+individual images or globally using the ``image.interpolation``
+rcParam.
+
+
+Qualitative colormaps
+---------------------
+
+ColorBrewer's "qualitative" colormaps ("Accent", "Dark2", "Paired",
+"Pastel1", "Pastel2", "Set1", "Set2", "Set3") were intended for discrete
+categorical data, with no implication of value, and therefore have been
+converted to ``ListedColormap`` instead of ``LinearSegmentedColormap``, so
+the colors will no longer be interpolated and they can be used for
+choropleths, labeled image features, etc.
+
+
+
+Axis offset label now responds to *labelcolor*
+----------------------------------------------
+
+Axis offset labels are now colored the same as axis tick markers when
+*labelcolor* is altered.
+
+Improved offset text choice
+---------------------------
+The default offset-text choice was changed to only use significant digits that
+are common to all ticks (e.g. 1231..1239 -> 1230, instead of 1231), except when
+they straddle a relatively large multiple of a power of ten, in which case that
+multiple is chosen (e.g. 1999..2001->2000).
+
+
+Style parameter blacklist
+-------------------------
+
+In order to prevent unexpected consequences from using a style, style
+files are no longer able to set parameters that affect things
+unrelated to style.  These parameters include::
+
+  'interactive', 'backend', 'backend.qt4', 'webagg.port',
+  'webagg.port_retries', 'webagg.open_in_browser', 'backend_fallback',
+  'toolbar', 'timezone', 'datapath', 'figure.max_open_warning',
+  'savefig.directory', 'tk.window_focus', 'docstring.hardcopy'
+
+
+Change in default font
+----------------------
+
+The default font used by matplotlib in text has been changed to DejaVu Sans and
+DejaVu Serif for the sans-serif and serif families, respectively. The DejaVu
+font family is based on the previous matplotlib default --Bitstream Vera-- but
+includes a much wider range of characters.
+
+The default mathtext font has been changed from Computer Modern to the DejaVu
+family to maintain consistency with regular text. Two new options for the
+``mathtext.fontset`` configuration parameter have been added: ``dejavusans``
+(default) and ``dejavuserif``. Both of these options use DejaVu glyphs whenever
+possible and fall back to STIX symbols when a glyph is not found in DejaVu. To
+return to the previous behavior, set the rcParam ``mathtext.fontset`` to ``cm``.
+
+
+Faster text rendering
+---------------------
+
+Rendering text in the Agg backend is now less fuzzy and about 20%
+faster to draw.
+
+
+Improvements for the Qt figure options editor
+---------------------------------------------
+
+Various usability improvements were implemented for the Qt figure options
+editor, among which:
+
+- Line style entries are now sorted without duplicates.
+- The colormap and normalization limits can now be set for images.
+- Line edits for floating values now display only as many digits as necessary
+  to avoid precision loss.  An important bug was also fixed regarding input
+  validation using Qt5 and a locale where the decimal separator is ",".
+- The axes selector now uses shorter, more user-friendly names for axes, and
+  does not crash if there are no axes.
+- Line and image entries using the default labels ("_lineX", "_imageX") are now
+  sorted numerically even when there are more than 10 entries.
+
+
+Improved image support
+----------------------
+
+Prior to version 2.0, matplotlib resampled images by first applying
+the colormap and then resizing the result.  Since the resampling was
+performed on the colored image, this introduced colors in the output
+image that didn't actually exist in the colormap.  Now, images are
+resampled first (and entirely in floating-point, if the input image is
+floating-point), and then the colormap is applied.
+
+In order to make this important change, the image handling code was
+almost entirely rewritten.  As a side effect, image resampling uses
+less memory and fewer datatype conversions than before.
+
+The experimental private feature where one could "skew" an image by
+setting the private member ``_image_skew_coordinate`` has been
+removed.  Instead, images will obey the transform of the axes on which
+they are drawn.
+
+Non-linear scales on image plots
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`~.Axes.imshow` now draws data at the requested points in data space after the
+application of non-linear scales.
+
+The image on the left demonstrates the new, correct behavior.
+The old behavior can be recreated using `~.Axes.pcolormesh` as
+demonstrated on the right.
+
+
+.. plot::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    data = np.arange(30).reshape(5, 6)
+    x = np.linspace(0, 6, 7)
+    y = 10**np.linspace(0, 5, 6)
+    X, Y = np.meshgrid(x, y)
+
+    fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4))
+
+    ax1.imshow(data, aspect="auto", extent=(0, 6, 1e0, 1e5), interpolation='nearest')
+    ax1.set_yscale('log')
+    ax1.set_title('Using ax.imshow')
+
+    ax2.pcolormesh(x, y, np.flipud(data))
+    ax2.set_yscale('log')
+    ax2.set_title('Using ax.pcolormesh')
+    ax2.autoscale('tight')
+
+    plt.show()
+
+
+This can be understood by analogy to plotting a histogram with linearly spaced bins
+with a logarithmic x-axis.  Equal sized bins will be displayed as wider for small
+*x* and narrower for large *x*.
+
+
+
+Support for HiDPI (Retina) displays in the NbAgg and WebAgg backends
+--------------------------------------------------------------------
+
+The NbAgg and WebAgg backends will now use the full resolution of your
+high-pixel-density display.
+
+Change in the default animation codec
+-------------------------------------
+
+The default animation codec has been changed from ``mpeg4`` to ``h264``,
+which is more efficient. It can be set via the ``animation.codec`` rcParam.
+
+Deprecated support for mencoder in animation
+--------------------------------------------
+
+The use of mencoder for writing video files with mpl is problematic;
+switching to ffmpeg is strongly advised.  All support for mencoder
+will be removed in version 2.2.
+
+Boxplot Zorder Keyword Argument
+-------------------------------
+
+The *zorder* parameter now exists for `~.Axes.boxplot`. This allows the zorder
+of a boxplot to be set in the plotting function call. ::
+
+    boxplot(np.arange(10), zorder=10)
+
+Filled ``+`` and ``x`` markers
+------------------------------
+
+New fillable *plus* and *x* markers have been added. See
+the :mod:`~matplotlib.markers` module and
+:doc:`marker reference </gallery/lines_bars_and_markers/marker_reference>`
+examples.
+
+*rcount* and *ccount* for `~.axes3d.Axes3D.plot_surface`
+--------------------------------------------------------
+
+As of v2.0, mplot3d's `~.axes3d.Axes3D.plot_surface` now
+accepts *rcount* and *ccount* arguments for controlling the sampling of the
+input data for plotting. These arguments specify the maximum number of
+evenly spaced samples to take from the input data. These arguments are
+also the new default sampling method for the function, and is
+considered a style change.
+
+The old *rstride* and *cstride* arguments, which specified the size of the
+evenly spaced samples, become the default when 'classic' mode is invoked,
+and are still available for use. There are no plans for deprecating these
+arguments.
+
+Streamplot Zorder Keyword Argument Changes
+------------------------------------------
+
+The ``zorder`` parameter for `~.Axes.streamplot` now has default
+value of ``None`` instead of ``2``. If ``None`` is given as ``zorder``,
+`~.Axes.streamplot` has a default ``zorder`` of
+``matplotlib.lines.Line2D.zorder``.
+
+.. _gc_get_hatch_color_wn:
+
+Extension to `matplotlib.backend_bases.GraphicsContextBase`
+-----------------------------------------------------------
+
+To support standardizing hatch behavior across the backends we ship
+the `matplotlib.backend_bases.GraphicsContextBase.get_hatch_color`
+method as added to `matplotlib.backend_bases.GraphicsContextBase`.
+This is only used during the render process in the backends we ship so
+will not break any third-party backends.
+
+If you maintain a third-party backend which extends
+`~matplotlib.backend_bases.GraphicsContextBase` this method is now
+available to you and should be used to color hatch patterns.
diff --git a/doc/users/prev_whats_new/whats_new_2.1.0.rst b/doc/users/prev_whats_new/whats_new_2.1.0.rst
new file mode 100644
index 000000000000..a66e2e10f3a2
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_2.1.0.rst
@@ -0,0 +1,618 @@
+.. _whats-new-2-1-0:
+
+What's new in Matplotlib 2.1.0 (Oct 7, 2017)
+============================================
+
+Documentation
++++++++++++++
+
+The examples have been migrated to use `sphinx gallery
+<https://sphinx-gallery.readthedocs.io/en/latest/>`__.  This allows
+better mixing of prose and code in the examples, provides links to
+download the examples as both a Python script and a Jupyter notebook,
+and improves the thumbnail galleries.  The examples have been
+re-organized into :ref:`tutorials` and a :ref:`gallery`.
+
+Many docstrings and examples have been clarified and improved.
+
+
+New features
+++++++++++++
+
+String categorical values
+-------------------------
+
+All plotting functions now support string categorical values as input.
+For example:
+
+.. plot::
+   :include-source:
+   :align: center
+
+   data = {'apples': 10, 'oranges': 15, 'lemons': 5, 'limes': 20}
+   fig, ax = plt.subplots()
+   ax.bar(data.keys(), data.values(), color='lightgray')
+
+
+Interactive JS widgets for animation
+------------------------------------
+
+Jake Vanderplas' JSAnimation package has been merged into Matplotlib. This
+adds to Matplotlib the `~matplotlib.animation.HTMLWriter` class for
+generating a JavaScript HTML animation, suitable for the IPython notebook.
+This can be activated by default by setting the ``animation.html`` rc
+parameter to ``jshtml``. One can also call the
+`~matplotlib.animation.Animation.to_jshtml` method to manually convert an
+animation. This can be displayed using IPython's ``HTML`` display class::
+
+    from IPython.display import HTML
+    HTML(animation.to_jshtml())
+
+The `~matplotlib.animation.HTMLWriter` class can also be used to generate
+an HTML file by asking for the ``html`` writer.
+
+
+Enhancements to polar plot
+--------------------------
+
+The polar axes transforms have been greatly re-factored to allow for more
+customization of view limits and tick labelling. Additional options for view
+limits allow for creating an annulus, a sector, or some combination of the two.
+
+The :meth:`~matplotlib.projections.polar.PolarAxes.set_rorigin` method may
+be used to provide an offset to the minimum plotting radius, producing an
+annulus.
+
+The :meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location`
+method now has an optional :code:`offset` argument. This argument may be used
+to further specify the zero location based on the given anchor point.
+
+.. figure:: /gallery/pie_and_polar_charts/images/sphx_glr_polar_scatter_002.png
+   :target: ../../gallery/pie_and_polar_charts/polar_scatter.html#scatter-plot-on-polar-axis-with-offset-origin
+   :align: center
+   :scale: 70
+
+   Polar Offset Demo
+
+The :meth:`~matplotlib.projections.polar.PolarAxes.set_thetamin` and
+:meth:`~matplotlib.projections.polar.PolarAxes.set_thetamax` methods may
+be used to limit the range of angles plotted, producing sectors of a circle.
+
+.. figure:: /gallery/pie_and_polar_charts/images/sphx_glr_polar_scatter_003.png
+   :target: ../../gallery/pie_and_polar_charts/polar_scatter.html#scatter-plot-on-polar-axis-confined-to-a-sector
+   :align: center
+   :scale: 70
+
+   Polar Sector Demo
+
+Previous releases allowed plots containing negative radii for which the
+negative values are simply used as labels, and the real radius is shifted by
+the configured minimum. This release also allows negative radii to be used for
+grids and ticks, which were previously silently ignored.
+
+Radial ticks have been modified to be parallel to the circular grid line, and
+angular ticks have been modified to be parallel to the grid line. It may also
+be useful to rotate tick *labels* to match the boundary. Calling
+``ax.tick_params(rotation='auto')`` will enable the new behavior: radial tick
+labels will be parallel to the circular grid line, and angular tick labels will
+be perpendicular to the grid line (i.e., parallel to the outer boundary).
+Additionally, tick labels now obey the padding settings that previously only
+worked on Cartesian plots. Consequently, the ``frac`` argument to
+`.PolarAxes.set_thetagrids` is no longer applied. Tick padding can be modified
+with the ``pad`` argument to `.Axes.tick_params` or `.Axis.set_tick_params`.
+
+
+``Figure`` class now has ``subplots`` method
+--------------------------------------------
+
+The :class:`~matplotlib.figure.Figure` class now has a
+:meth:`~matplotlib.figure.Figure.subplots` method which behaves the same as
+:func:`.pyplot.subplots` but on an existing figure.
+
+
+Metadata savefig keyword argument
+---------------------------------
+
+:func:`~matplotlib.pyplot.savefig` now accepts ``metadata`` as a keyword
+argument. It can be used to store key/value pairs in the image metadata.
+
+
+* 'png' with Agg backend
+* 'pdf' with PDF backend (see
+  :func:`~matplotlib.backends.backend_pdf.PdfFile.writeInfoDict` for a list of
+  supported keywords)
+* 'eps' and 'ps' with PS backend (only 'Creator' key is accepted)
+
+::
+
+    plt.savefig('test.png', metadata={'Software': 'My awesome software'})
+
+
+Busy Cursor
+-----------
+
+The interactive GUI backends will now change the cursor to busy when
+Matplotlib is rendering the canvas.
+
+PolygonSelector
+---------------
+
+A :class:`~matplotlib.widgets.PolygonSelector` class has been added to
+:mod:`matplotlib.widgets`.  See
+:doc:`/gallery/widgets/polygon_selector_demo` for details.
+
+
+Added `matplotlib.ticker.PercentFormatter`
+------------------------------------------
+
+The new `~matplotlib.ticker.PercentFormatter` formatter has some nice
+features like being able to convert from arbitrary data scales to
+percents, a customizable percent symbol and either automatic or manual
+control over the decimal points.
+
+
+Reproducible PS, PDF and SVG output
+-----------------------------------
+
+The ``SOURCE_DATE_EPOCH`` environment variable can now be used to set
+the timestamp value in the PS and PDF outputs. See `source date epoch
+<https://reproducible-builds.org/specs/source-date-epoch/>`__.
+
+Alternatively, calling ``savefig`` with ``metadata={'CreationDate': None}``
+will omit the timestamp altogether for the PDF backend.
+
+The reproducibility of the output from the PS and PDF backends has so
+far been tested using various plot elements but only default values of
+options such as ``{ps,pdf}.fonttype`` that can affect the output at a
+low level, and not with the mathtext or usetex features. When
+Matplotlib calls external tools (such as PS distillers or LaTeX) their
+versions need to be kept constant for reproducibility, and they may
+add sources of nondeterminism outside the control of Matplotlib.
+
+For SVG output, the ``svg.hashsalt`` rc parameter has been added in an
+earlier release. This parameter changes some random identifiers in the
+SVG file to be deterministic. The downside of this setting is that if
+more than one file is generated using deterministic identifiers
+and they end up as parts of one larger document, the identifiers can
+collide and cause the different parts to affect each other.
+
+These features are now enabled in the tests for the PDF and SVG
+backends, so most test output files (but not all of them) are now
+deterministic.
+
+Orthographic projection for mplot3d
+-----------------------------------
+:class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` now accepts ``proj_type`` keyword
+argument and has a method :meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type`.
+The default option is ``'persp'`` as before, and supplying ``'ortho'`` enables
+orthographic view.
+
+Compare the z-axis which is vertical in orthographic view, but slightly skewed
+in the perspective view.
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from mpl_toolkits.mplot3d import Axes3D
+
+    fig = plt.figure(figsize=(4, 6))
+    ax1 = fig.add_subplot(2, 1, 1, projection='3d')
+    ax1.set_proj_type('persp')
+    ax1.set_title('Perspective (default)')
+
+    ax2 = fig.add_subplot(2, 1, 2, projection='3d')
+    ax2.set_proj_type('ortho')
+    ax2.set_title('Orthographic')
+
+    plt.show()
+
+
+``voxels`` function for mplot3d
+-------------------------------
+:class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` now has a
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.voxels` method, for visualizing boolean 3D
+data. Uses could include plotting a sparse 3D heat map, or visualizing a
+volumetric model.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_voxels_numpy_logo_001.png
+   :target: ../../gallery/mplot3d/voxels_numpy_logo.html
+   :align: center
+   :scale: 70
+
+   Voxel Demo
+
+
+Improvements
+++++++++++++
+
+CheckButtons widget ``get_status`` function
+-------------------------------------------
+
+A :func:`~matplotlib.widgets.CheckButtons.get_status` method has been added to
+the :class:`matplotlib.widgets.CheckButtons` class. This ``get_status`` method
+allows user to query the status (True/False) of all of the buttons in the
+``CheckButtons`` object.
+
+
+Add ``fill_bar`` argument to ``AnchoredSizeBar``
+------------------------------------------------
+
+The ``mpl_toolkits`` class
+:class:`~mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar` now has an
+additional ``fill_bar`` argument, which makes the size bar a solid rectangle
+instead of just drawing the border of the rectangle. The default is ``None``,
+and whether or not the bar will be filled by default depends on the value of
+``size_vertical``. If ``size_vertical`` is nonzero, ``fill_bar`` will be set to
+``True``. If ``size_vertical`` is zero then ``fill_bar`` will be set to
+``False``. If you wish to override this default behavior, set ``fill_bar`` to
+``True`` or ``False`` to unconditionally always or never use a filled patch
+rectangle for the size bar.
+
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
+
+    fig, ax = plt.subplots(figsize=(3, 3))
+
+    bar0 = AnchoredSizeBar(ax.transData, 0.3, 'unfilled', loc='lower left',
+                           frameon=False, size_vertical=0.05, fill_bar=False)
+    ax.add_artist(bar0)
+    bar1 = AnchoredSizeBar(ax.transData, 0.3, 'filled', loc='lower right',
+                           frameon=False, size_vertical=0.05, fill_bar=True)
+    ax.add_artist(bar1)
+
+    plt.show()
+
+Annotation can use a default arrow style
+----------------------------------------
+
+Annotations now use the default arrow style when setting ``arrowprops={}``,
+rather than no arrow (the new behavior actually matches the documentation).
+
+Barbs and Quiver Support Dates
+------------------------------
+
+When using the :func:`~matplotlib.axes.Axes.quiver` and
+:func:`~matplotlib.axes.Axes.barbs` plotting methods, it is now possible to
+pass dates, just like for other methods like :func:`~matplotlib.axes.Axes.plot`.
+This also allows these functions to handle values that need unit-conversion
+applied.
+
+
+Hexbin default line color
+-------------------------
+
+The default ``linecolor`` keyword argument for :func:`~matplotlib.axes.Axes.hexbin`
+is now ``'face'``, and supplying ``'none'`` now prevents lines from being drawn
+around the hexagons.
+
+Figure.legend() can be called without arguments
+-----------------------------------------------
+
+Calling :meth:`.Figure.legend` can now be done with no arguments. In this case
+a legend will be created that contains all the artists on all the axes
+contained within the figure.
+
+Multiple legend keys for legend entries
+---------------------------------------
+
+A legend entry can now contain more than one legend key. The extended
+`~matplotlib.legend_handler.HandlerTuple` class now accepts two parameters:
+``ndivide`` divides the legend area in the specified number of sections;
+``pad`` changes the padding between the legend keys.
+
+.. figure:: /gallery/text_labels_and_annotations/images/sphx_glr_legend_demo_004.png
+   :target: ../../gallery/text_labels_and_annotations/legend_demo.html
+   :align: center
+   :scale: 70
+
+   Multiple Legend Keys
+
+
+New parameter *clear* for :func:`~matplotlib.pyplot.figure`
+-----------------------------------------------------------
+
+When the pyplot's function :func:`~matplotlib.pyplot.figure` is called
+with a ``num`` parameter, a new window is only created if no existing
+window with the same value exists. A new bool parameter *clear* was
+added for explicitly clearing its existing contents. This is particularly
+useful when utilized in interactive sessions. Since
+:func:`~matplotlib.pyplot.subplots` also accepts keyword arguments
+from :func:`~matplotlib.pyplot.figure`, it can also be used there::
+
+   import matplotlib.pyplot as plt
+
+   fig0 = plt.figure(num=1)
+   fig0.suptitle("A fancy plot")
+   print("fig0.texts: ", [t.get_text() for t in fig0.texts])
+
+   fig1 = plt.figure(num=1, clear=False)  # do not clear contents of window
+   fig1.text(0.5, 0.5, "Really fancy!")
+   print("fig0 is fig1: ",  fig0 is fig1)
+   print("fig1.texts: ", [t.get_text() for t in fig1.texts])
+
+   fig2, ax2 = plt.subplots(2, 1, num=1, clear=True)  # clear contents
+   print("fig0 is fig2: ",  fig0 is fig2)
+   print("fig2.texts: ", [t.get_text() for t in fig2.texts])
+
+   # The output:
+   # fig0.texts:  ['A fancy plot']
+   # fig0 is fig1:  True
+   # fig1.texts:  ['A fancy plot', 'Really fancy!']
+   # fig0 is fig2:  True
+   # fig2.texts:  []
+
+
+Specify minimum value to format as scalar for ``LogFormatterMathtext``
+----------------------------------------------------------------------
+
+:class:`~matplotlib.ticker.LogFormatterMathtext` now includes the
+option to specify a minimum value exponent to format as a scalar
+(i.e., 0.001 instead of 10\ :sup:`-3`).
+
+
+New quiverkey angle keyword argument
+------------------------------------
+
+Plotting a :func:`~matplotlib.axes.Axes.quiverkey` now admits the
+``angle`` keyword argument, which sets the angle at which to draw the
+key arrow.
+
+Colormap reversed method
+------------------------
+
+The methods :meth:`matplotlib.colors.LinearSegmentedColormap.reversed` and
+:meth:`matplotlib.colors.ListedColormap.reversed` return a reversed
+instance of the Colormap. This implements a way for any Colormap to be
+reversed.
+
+
+`.artist.setp` (and `.pyplot.setp`) accept a *file* argument
+------------------------------------------------------------
+
+The argument is keyword-only. It allows an output file other than
+`sys.stdout` to be specified. It works exactly like the *file* argument
+to `print`.
+
+
+``streamplot`` streamline generation more configurable
+------------------------------------------------------
+
+The starting point, direction, and length of the stream lines can now
+be configured.  This allows to follow the vector field for a longer
+time and can enhance the visibility of the flow pattern in some use
+cases.
+
+
+``Axis.set_tick_params`` now responds to *rotation*
+---------------------------------------------------
+
+Bulk setting of tick label rotation is now possible via
+:func:`~matplotlib.axes.Axes.tick_params` using the *rotation*
+keyword.
+
+::
+
+    ax.tick_params(which='both', rotation=90)
+
+
+Ticklabels are turned off instead of being invisible
+----------------------------------------------------
+
+Internally, the `.Tick`'s ``matplotlib.axis.Tick.label1On`` attribute
+is now used to hide tick labels instead of setting the visibility on the tick
+label objects.
+This improves overall performance and fixes some issues.
+As a consequence, in case those labels ought to be shown,
+:func:`~matplotlib.axes.Axes.tick_params`
+needs to be used, e.g.
+
+::
+
+    ax.tick_params(labelbottom=True)
+
+
+Shading in 3D bar plots
+-----------------------
+
+A new ``shade`` parameter has been added the 3D
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.bar` plotting method. The default behavior
+remains to shade the bars, but now users have the option of setting ``shade``
+to ``False``.
+
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from mpl_toolkits.mplot3d import Axes3D
+
+    x = np.arange(2)
+    y = np.arange(3)
+    x2d, y2d = np.meshgrid(x, y)
+    x, y = x2d.ravel(), y2d.ravel()
+    z = np.zeros_like(x)
+    dz = x + y
+
+    fig = plt.figure(figsize=(4, 6))
+    ax1 = fig.add_subplot(2, 1, 1, projection='3d')
+    ax1.bar3d(x, y, z, 1, 1, dz, shade=True)
+    ax1.set_title('Shading On')
+
+    ax2 = fig.add_subplot(2, 1, 2, projection='3d')
+    ax2.bar3d(x, y, z, 1, 1, dz, shade=False)
+    ax2.set_title('Shading Off')
+
+    plt.show()
+
+
+New ``which`` Parameter for ``autofmt_xdate``
+---------------------------------------------
+
+A ``which`` parameter now exists for the method
+:func:`~matplotlib.figure.Figure.autofmt_xdate`. This allows a user to format
+``major``, ``minor`` or ``both`` tick labels selectively. The
+default behavior will rotate and align the ``major`` tick labels.
+
+
+::
+
+    fig.autofmt_xdate(bottom=0.2, rotation=30, ha='right', which='minor')
+
+
+New Figure Parameter for ``subplot2grid``
+-----------------------------------------
+
+A ``fig`` parameter now exists for the function
+:func:`~matplotlib.pyplot.subplot2grid`. This allows a user to specify the
+figure where the subplots will be created. If ``fig`` is ``None`` (default)
+then the method will use the current figure retrieved by
+:func:`~matplotlib.pyplot.gcf`.
+
+
+::
+
+    subplot2grid(shape, loc, rowspan=1, colspan=1, fig=myfig)
+
+
+Interpolation in ``fill_betweenx``
+----------------------------------
+
+The ``interpolate`` parameter now exists for the method
+:func:`~matplotlib.axes.Axes.fill_betweenx`. This allows a user to
+interpolate the data and fill the areas in the crossover points,
+similarly to :func:`~matplotlib.axes.Axes.fill_between`.
+
+
+New keyword argument ``sep`` for EngFormatter
+---------------------------------------------
+
+A new ``sep`` keyword argument has been added to
+:class:`~matplotlib.ticker.EngFormatter` and provides a means to
+define the string that will be used between the value and its
+unit. The default string is ``" "``, which preserves the former
+behavior. Additionally, the separator is now present between the value
+and its unit even in the absence of SI prefix.  There was formerly a
+bug that was causing strings like ``"3.14V"`` to be returned instead of
+the expected ``"3.14 V"`` (with the default behavior).
+
+Extend ``MATPLOTLIBRC`` behavior
+--------------------------------
+
+The environmental variable can now specify the full file path or the
+path to a directory containing a :file:`matplotlibrc` file.
+
+
+``density`` kwarg to hist
+-------------------------
+
+The :meth:`~matplotlib.axes.Axes.hist` method now prefers ``density``
+to ``normed`` to control if the histogram should be normalized,
+following a change upstream to NumPy.  This will reduce confusion as
+the behavior has always been that the integral of the histogram is 1
+(rather than sum or maximum value).
+
+
+
+Internals
++++++++++
+
+New TransformedPatchPath caching object
+---------------------------------------
+
+A newly added :class:`~matplotlib.transforms.TransformedPatchPath` provides a
+means to transform a :class:`~matplotlib.patches.Patch` into a
+:class:`~matplotlib.path.Path` via a :class:`~matplotlib.transforms.Transform`
+while caching the resulting path. If neither the patch nor the transform have
+changed, a cached copy of the path is returned.
+
+This class differs from the older
+:class:`~matplotlib.transforms.TransformedPath` in that it is able to refresh
+itself based on the underlying patch while the older class uses an immutable
+path.
+
+
+Abstract base class for movie writers
+-------------------------------------
+
+The new :class:`~matplotlib.animation.AbstractMovieWriter` class defines
+the API required by a class that is to be used as the ``writer`` in the
+:meth:`matplotlib.animation.Animation.save` method. The existing
+:class:`~matplotlib.animation.MovieWriter` class now derives from the new
+abstract base class.
+
+
+Stricter validation of line style rcParams
+------------------------------------------
+
+The validation of rcParams that are related to line styles
+(``lines.linestyle``, ``boxplot.*.linestyle``, ``grid.linestyle`` and
+``contour.negative_linestyle``) now effectively checks that the values
+are valid line styles. Strings like ``'dashed'`` or ``'--'`` are
+accepted, as well as even-length sequences of on-off ink like ``[1,
+1.65]``. In this latter case, the offset value is handled internally
+and should *not* be provided by the user.
+
+
+The new validation scheme replaces the former one used for the
+``contour.negative_linestyle`` rcParams, that was limited to
+``'solid'`` and ``'dashed'`` line styles.
+
+The validation is case-insensitive.  The following are now valid:
+
+::
+
+    grid.linestyle             : (1, 3)   # loosely dotted grid lines
+    contour.negative_linestyle : dashdot  # previously only solid or dashed
+
+
+pytest
+------
+
+The automated tests have been switched from nose_ to pytest_.
+
+.. _nose: https://nose.readthedocs.io/
+.. _pytest: https://pytest.org
+
+Performance
++++++++++++
+
+Path simplification updates
+---------------------------
+
+Line simplification controlled by the ``path.simplify`` and
+``path.simplify_threshold`` parameters has been improved. You should
+notice better rendering performance when plotting large amounts of
+data (as long as the above parameters are set accordingly). Only the
+line segment portion of paths will be simplified -- if you are also
+drawing markers and experiencing problems with rendering speed, you
+should consider using the ``markevery`` option to `~matplotlib.axes.Axes.plot`.
+See the :ref:`performance` section in the usage tutorial for more
+information.
+
+The simplification works by iteratively merging line segments
+into a single vector until the next line segment's perpendicular
+distance to the vector (measured in display-coordinate space)
+is greater than the ``path.simplify_threshold`` parameter. Thus, higher
+values of ``path.simplify_threshold`` result in quicker rendering times.
+If you are plotting just to explore data and not for publication quality,
+pixel perfect plots, then a value of ``1.0`` can be safely used. If you
+want to make sure your plot reflects your data *exactly*, then you should
+set ``path.simplify`` to false and/or ``path.simplify_threshold`` to ``0``.
+Matplotlib currently defaults to a conservative value of ``1/9``, smaller
+values are unlikely to cause any visible differences in your plots.
+
+Implement intersects_bbox in c++
+--------------------------------
+
+:meth:`~matplotlib.path.Path.intersects_bbox` has been implemented in
+c++ which improves the performance of automatically placing the legend.
diff --git a/doc/users/prev_whats_new/whats_new_2.2.rst b/doc/users/prev_whats_new/whats_new_2.2.rst
new file mode 100644
index 000000000000..6354a390860a
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_2.2.rst
@@ -0,0 +1,388 @@
+.. _whats-new-2-2-0:
+
+What's new in Matplotlib 2.2 (Mar 06, 2018)
+===========================================
+
+Constrained Layout Manager
+--------------------------
+
+.. warning::
+
+    Constrained Layout is **experimental**.  The
+    behaviour and API are subject to change, or the whole functionality
+    may be removed without a deprecation period.
+
+
+A new method to automatically decide spacing between subplots and their
+organizing ``GridSpec`` instances has been added.  It is meant to
+replace the venerable ``tight_layout`` method.  It is invoked via
+a new ``constrained_layout=True`` kwarg to
+`~.figure.Figure` or `~.Figure.subplots`.
+
+There are new `.rcParams` for this package, and spacing can be
+more finely tuned with the new `~.set_constrained_layout_pads`.
+
+Features include:
+
+- Automatic spacing for subplots with a fixed-size padding in inches around
+  subplots and all their decorators, and space between as a fraction
+  of subplot size between subplots.
+- Spacing for `~.Figure.suptitle`, and colorbars that are attached to
+  more than one axes.
+- Nested `~.GridSpec` layouts using `~.GridSpecFromSubplotSpec`.
+
+For more details and capabilities please see the new tutorial:
+:ref:`constrainedlayout_guide`
+
+Note the new API to access this:
+
+New ``plt.figure`` and ``plt.subplots`` kwarg: ``constrained_layout``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+:meth:`~matplotlib.pyplot.figure` and :meth:`~matplotlib.pyplot.subplots`
+can now be called with ``constrained_layout=True`` kwarg to enable
+constrained_layout.
+
+New ``ax.set_position`` behaviour
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.Axes.set_position` now makes the specified axis no
+longer responsive to ``constrained_layout``, consistent with the idea that the
+user wants to place an axis manually.
+
+Internally, this means that old ``ax.set_position`` calls *inside* the library
+are changed to private ``ax._set_position`` calls so that
+``constrained_layout`` will still work with these axes.
+
+New ``figure`` kwarg for ``GridSpec``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In order to facilitate ``constrained_layout``, ``GridSpec`` now accepts a
+``figure`` keyword.  This is backwards compatible, in that not supplying this
+will simply cause ``constrained_layout`` to not operate on the subplots
+organized by this ``GridSpec`` instance.  Routines that use ``GridSpec`` (e.g.
+``fig.subplots``) have been modified to pass the figure to ``GridSpec``.
+
+
+xlabels and ylabels can now be automatically aligned
+----------------------------------------------------
+
+Subplot axes ``ylabels`` can be misaligned horizontally if the tick labels
+are very different widths.  The same can happen to ``xlabels`` if the
+ticklabels are rotated on one subplot (for instance).  The new methods
+on the `.Figure` class: `.Figure.align_xlabels` and `.Figure.align_ylabels`
+will now align these labels horizontally or vertically.  If the user only
+wants to align some axes, a list of axes can be passed.  If no list is
+passed, the algorithm looks at all the labels on the figure.
+
+Only labels that have the same subplot locations are aligned.  i.e. the
+ylabels are aligned only if the subplots are in the same column of the
+subplot layout.
+
+Alignment is persistent and automatic after these are called.
+
+A convenience wrapper `.Figure.align_labels` calls both functions at once.
+
+.. plot::
+
+    import matplotlib.gridspec as gridspec
+
+    fig = plt.figure(figsize=(5, 3), tight_layout=True)
+    gs = gridspec.GridSpec(2, 2)
+
+    ax = fig.add_subplot(gs[0,:])
+    ax.plot(np.arange(0, 1e6, 1000))
+    ax.set_ylabel('Test')
+    for i in range(2):
+        ax = fig.add_subplot(gs[1, i])
+        ax.set_ylabel('Booooo')
+        ax.set_xlabel('Hello')
+        if i == 0:
+            for tick in ax.get_xticklabels():
+                tick.set_rotation(45)
+    fig.align_labels()
+
+
+Axes legends now included in tight_bbox
+---------------------------------------
+
+Legends created via ``ax.legend`` can sometimes overspill the limits of
+the axis.  Tools like ``fig.tight_layout()`` and
+``fig.savefig(bbox_inches='tight')`` would clip these legends.  A change
+was made to include them in the ``tight`` calculations.
+
+
+Cividis colormap
+----------------
+
+A new dark blue/yellow colormap named 'cividis' was added. Like
+viridis, cividis is perceptually uniform and colorblind
+friendly. However, cividis also goes a step further: not only is it
+usable by colorblind users, it should actually look effectively
+identical to colorblind and non-colorblind users. For more details
+see `Nuñez J, Anderton C, and Renslow R: "Optimizing colormaps with consideration
+for color vision deficiency to enable accurate interpretation of scientific data"
+<https://doi.org/10.1371/journal.pone.0199239>`_.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots()
+    pcm = ax.pcolormesh(np.random.rand(32,32), cmap='cividis')
+    fig.colorbar(pcm)
+
+
+New style colorblind-friendly color cycle
+-----------------------------------------
+
+A new style defining a color cycle has been added,
+tableau-colorblind10, to provide another option for
+colorblind-friendly plots.  A demonstration of this new
+style can be found in the reference_ of style sheets. To
+load this color cycle in place of the default one::
+
+  import matplotlib.pyplot as plt
+  plt.style.use('tableau-colorblind10')
+
+.. _reference: https://matplotlib.org/gallery/style_sheets/style_sheets_reference.html
+
+
+Support for numpy.datetime64
+----------------------------
+
+Matplotlib has supported `datetime.datetime` dates for a long time in
+`matplotlib.dates`.  We
+now support `numpy.datetime64` dates as well.  Anywhere that
+`datetime.datetime` could be used, `numpy.datetime64` can be used.  eg::
+
+  time = np.arange('2005-02-01', '2005-02-02', dtype='datetime64[h]')
+  plt.plot(time)
+
+
+
+Writing animations with Pillow
+------------------------------
+It is now possible to use Pillow as an animation writer.  Supported output
+formats are currently gif (Pillow>=3.4) and webp (Pillow>=5.0).  Use e.g. as ::
+
+   from __future__ import division
+
+   from matplotlib import pyplot as plt
+   from matplotlib.animation import FuncAnimation, PillowWriter
+
+   fig, ax = plt.subplots()
+   line, = plt.plot([0, 1])
+
+   def animate(i):
+      line.set_ydata([0, i / 20])
+      return [line]
+
+   anim = FuncAnimation(fig, animate, 20, blit=True)
+   anim.save("movie.gif", writer=PillowWriter(fps=24))
+   plt.show()
+
+
+Slider UI widget can snap to discrete values
+--------------------------------------------
+
+The slider UI widget can take the optional argument *valstep*.  Doing so
+forces the slider to take on only discrete values, starting from *valmin* and
+counting up to *valmax* with steps of size *valstep*.
+
+If *closedmax==True*, then the slider will snap to *valmax* as well.
+
+
+
+``capstyle`` and ``joinstyle`` attributes added to `.Collection`
+----------------------------------------------------------------
+
+The `.Collection` class now has customizable ``capstyle`` and ``joinstyle``
+attributes. This allows the user for example to set the ``capstyle`` of
+errorbars.
+
+
+*pad* kwarg added to ax.set_title
+---------------------------------
+
+The method `.Axes.set_title` now has a *pad* kwarg, that specifies the
+distance from the top of an axes to where the title is drawn.  The units
+of *pad* is points, and the default is the value of the (already-existing)
+:rc:`axes.titlepad`.
+
+
+Comparison of 2 colors in Matplotlib
+------------------------------------
+
+As the colors in Matplotlib can be specified with a wide variety of ways, the
+`matplotlib.colors.same_color` method has been added which checks if
+two `~matplotlib.colors` are the same.
+
+
+Autoscaling a polar plot snaps to the origin
+--------------------------------------------
+
+Setting the limits automatically in a polar plot now snaps the radial limit
+to zero if the automatic limit is nearby. This means plotting from zero doesn't
+automatically scale to include small negative values on the radial axis.
+
+The limits can still be set manually in the usual way using `~.Axes.set_ylim`.
+
+
+PathLike support
+----------------
+
+On Python 3.6+, `~matplotlib.pyplot.savefig`, `~matplotlib.pyplot.imsave`,
+`~matplotlib.pyplot.imread`, and animation writers now accept `os.PathLike`\s
+as input.
+
+
+`.Axes.tick_params` can set gridline properties
+-----------------------------------------------
+
+`.Tick` objects hold gridlines as well as the tick mark and its label.
+`.Axis.set_tick_params`, `.Axes.tick_params` and `.pyplot.tick_params`
+now have keyword arguments 'grid_color', 'grid_alpha', 'grid_linewidth',
+and 'grid_linestyle' for overriding the defaults in `.rcParams`:
+'grid.color', etc.
+
+
+`.Axes.imshow` clips RGB values to the valid range
+--------------------------------------------------
+
+When `.Axes.imshow` is passed an RGB or RGBA value with out-of-range
+values, it now logs a warning and clips them to the valid range.
+The old behaviour, wrapping back in to the range, often hid outliers
+and made interpreting RGB images unreliable.
+
+
+Properties in :file:`matplotlibrc` to place xaxis and yaxis tick labels
+-----------------------------------------------------------------------
+
+Introducing four new boolean properties in :file:`matplotlibrc` for default
+positions of xaxis and yaxis tick labels, namely,
+:rc:`xtick.labeltop`, :rc:`xtick.labelbottom`, :rc:`ytick.labelright` and
+:rc:`ytick.labelleft`. These can also be changed in rcParams.
+
+
+PGI bindings for gtk3
+---------------------
+
+The GTK3 backends can now use PGI_ instead of PyGObject_.  PGI is a fairly
+incomplete binding for GObject, thus its use is not recommended; its main
+benefit is its availability on Travis (thus allowing CI testing for the gtk3agg
+and gtk3cairo backends).
+
+The binding selection rules are as follows:
+- if ``gi`` has already been imported, use it; else
+- if ``pgi`` has already been imported, use it; else
+- if ``gi`` can be imported, use it; else
+- if ``pgi`` can be imported, use it; else
+- error out.
+
+Thus, to force usage of PGI when both bindings are installed, import it first.
+
+.. _PGI: https://pgi.readthedocs.io/en/latest/
+.. _PyGObject: https://pygobject.readthedocs.io/en/latest/
+
+
+
+Cairo rendering for Qt, WX, and Tk canvases
+-------------------------------------------
+
+The new ``Qt4Cairo``, ``Qt5Cairo``, ``WXCairo``, and ``TkCairo``
+backends allow Qt, Wx, and Tk canvases to use Cairo rendering instead of
+Agg.
+
+
+Added support for QT in new ToolManager
+---------------------------------------
+
+Now it is possible to use the ToolManager with Qt5
+For example::
+
+  import matplotlib
+
+  matplotlib.use('QT5AGG')
+  matplotlib.rcParams['toolbar'] = 'toolmanager'
+  import matplotlib.pyplot as plt
+
+  plt.plot([1,2,3])
+  plt.show()
+
+
+Treat the new Tool classes experimental for now, the API will likely change and perhaps the rcParam as well
+
+The main example :doc:`/gallery/user_interfaces/toolmanager_sgskip` shows more
+details, just adjust the header to use QT instead of GTK3
+
+
+
+TkAgg backend reworked to support PyPy
+--------------------------------------
+
+PyPy_ can now plot using the TkAgg backend, supported on PyPy 5.9
+and greater (both PyPy for python 2.7 and PyPy for python 3.5).
+
+.. _PyPy: https://www.pypy.org/
+
+
+
+Python logging library used for debug output
+--------------------------------------------
+
+Matplotlib has in the past (sporadically) used an internal
+verbose-output reporter.  This version converts those calls to using the
+standard python `logging` library.
+
+Support for the old `.rcParams` ``verbose.level`` and ``verbose.fileo`` is
+dropped.
+
+The command-line options ``--verbose-helpful`` and ``--verbose-debug`` are
+still accepted, but deprecated.  They are now equivalent to setting
+``logging.INFO`` and ``logging.DEBUG``.
+
+The logger's root name is ``matplotlib`` and can be accessed from programs
+as::
+
+  import logging
+  mlog = logging.getLogger('matplotlib')
+
+Instructions for basic usage are in :ref:`troubleshooting-faq` and for
+developers in :ref:`contributing`.
+
+.. _logging: https://docs.python.org/3/library/logging.html
+
+Improved `repr` for `.Transform`\s
+----------------------------------
+
+`.Transform`\s now indent their `repr`\s in a more legible manner:
+
+.. code-block:: ipython
+
+   In [1]: l, = plt.plot([]); l.get_transform()
+   Out[1]:
+   CompositeGenericTransform(
+      TransformWrapper(
+         BlendedAffine2D(
+               IdentityTransform(),
+               IdentityTransform())),
+      CompositeGenericTransform(
+         BboxTransformFrom(
+               TransformedBbox(
+                  Bbox(x0=-0.05500000000000001, y0=-0.05500000000000001, x1=0.05500000000000001, y1=0.05500000000000001),
+                  TransformWrapper(
+                     BlendedAffine2D(
+                           IdentityTransform(),
+                           IdentityTransform())))),
+         BboxTransformTo(
+               TransformedBbox(
+                  Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
+                  BboxTransformTo(
+                     TransformedBbox(
+                           Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
+                           Affine2D(
+                              [[ 100.    0.    0.]
+                              [   0.  100.    0.]
+                              [   0.    0.    1.]])))))))
diff --git a/doc/users/prev_whats_new/whats_new_3.0.rst b/doc/users/prev_whats_new/whats_new_3.0.rst
new file mode 100644
index 000000000000..e3dd12c71a8e
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.0.rst
@@ -0,0 +1,229 @@
+.. _whats-new-3-0-0:
+
+What's new in Matplotlib 3.0 (Sep 18, 2018)
+===========================================
+
+Improved default backend selection
+----------------------------------
+
+The default backend no longer must be set as part of the build
+process.  Instead, at run time, the builtin backends are tried in
+sequence until one of them imports.
+
+Headless Linux servers (identified by the DISPLAY environment variable not
+being defined) will not select a GUI backend.
+
+Cyclic colormaps
+----------------
+
+Two new colormaps named 'twilight' and 'twilight_shifted' have been
+added.  These colormaps start and end on the same color, and have two
+symmetric halves with equal lightness, but diverging color. Since they
+wrap around, they are a good choice for cyclic data such as phase
+angles, compass directions, or time of day. Like *viridis* and
+*cividis*, *twilight* is perceptually uniform and colorblind friendly.
+
+
+Ability to scale axis by a fixed order of magnitude
+---------------------------------------------------
+
+To scale an axis by a fixed order of magnitude, set the *scilimits* argument of
+`.Axes.ticklabel_format` to the same (non-zero) lower and upper limits. Say to scale
+the y axis by a million (1e6), use
+
+.. code-block:: python
+
+  ax.ticklabel_format(style='sci', scilimits=(6, 6), axis='y')
+
+The behavior of ``scilimits=(0, 0)`` is unchanged. With this setting, Matplotlib will adjust
+the order of magnitude depending on the axis values, rather than keeping it fixed. Previously, setting
+``scilimits=(m, m)`` was equivalent to setting ``scilimits=(0, 0)``.
+
+
+Add ``AnchoredDirectionArrows`` feature to mpl_toolkits
+-------------------------------------------------------
+
+A new mpl_toolkits class
+:class:`~mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows`
+draws a pair of orthogonal arrows to indicate directions on a 2D plot. A
+minimal working example takes in the transformation object for the coordinate
+system (typically ax.transAxes), and arrow labels. There are several optional
+parameters that can be used to alter layout. For example, the arrow pairs can
+be rotated and the color can be changed. By default the labels and arrows have
+the same color, but the class may also pass arguments for customizing arrow
+and text layout, these are passed to :class:`matplotlib.textpath.TextPath` and
+`matplotlib.patches.FancyArrowPatch`. Location, length and width for both
+arrow tail and head can be adjusted, the direction arrows and labels can have a
+frame. Padding and separation parameters can be adjusted.
+
+
+Add ``minorticks_on()/off()`` methods for colorbar
+--------------------------------------------------
+
+A new method ``ColorbarBase.minorticks_on`` has been added to
+correctly display minor ticks on a colorbar. This method doesn't allow the
+minor ticks to extend into the regions beyond vmin and vmax when the *extend*
+keyword argument (used while creating the colorbar) is set to 'both', 'max' or
+'min'. A complementary method ``ColorbarBase.minorticks_off`` has
+also been added to remove the minor ticks on the colorbar.
+
+
+Colorbar ticks can now be automatic
+-----------------------------------
+
+The number of ticks placed on colorbars was previously appropriate for a large
+colorbar, but looked bad if the colorbar was made smaller (i.e. via the
+*shrink* keyword argument). This has been changed so that the number of ticks
+is now responsive to how large the colorbar is.
+
+
+
+Don't automatically rename duplicate file names
+-----------------------------------------------
+
+Previously, when saving a figure to a file using the GUI's
+save dialog box, if the default filename (based on the
+figure window title) already existed on disk, Matplotlib
+would append a suffix (e.g. ``Figure_1-1.png``), preventing
+the dialog from prompting to overwrite the file. This
+behaviour has been removed. Now if the file name exists on
+disk, the user is prompted whether or not to overwrite it.
+This eliminates guesswork, and allows intentional
+overwriting, especially when the figure name has been
+manually set using ``figure.canvas.set_window_title()``.
+
+
+Legend now has a *title_fontsize* keyword argument (and rcParam)
+----------------------------------------------------------------
+
+The title for a `.Figure.legend` and `.Axes.legend` can now have its font size
+set via the *title_fontsize* keyword argument.  There is also a new
+:rc:`legend.title_fontsize`.  Both default to ``None``, which means the legend
+title will have the same font size as the axes default font size (*not* the
+legend font size, set by the *fontsize* keyword argument or
+:rc:`legend.fontsize`).
+
+
+Support for axes.prop_cycle property *markevery* in rcParams
+------------------------------------------------------------
+
+The Matplotlib ``rcParams`` settings object now supports configuration
+of the attribute :rc:`axes.prop_cycle` with cyclers using the *markevery*
+Line2D object property. 
+
+Multi-page PDF support for pgf backend
+--------------------------------------
+
+The pgf backend now also supports multi-page PDF files.
+
+.. code-block:: python
+
+    from matplotlib.backends.backend_pgf import PdfPages
+    import matplotlib.pyplot as plt
+
+    with PdfPages('multipage.pdf') as pdf:
+        # page 1
+        plt.plot([2, 1, 3])
+        pdf.savefig()
+
+        # page 2
+        plt.cla()
+        plt.plot([3, 1, 2])
+        pdf.savefig()
+
+
+Pie charts are now circular by default
+--------------------------------------
+We acknowledge that the majority of people do not like egg-shaped pies.
+Therefore, an axes to which a pie chart is plotted will be set to have
+equal aspect ratio by default. This ensures that the pie appears circular
+independent on the axes size or units. To revert to the previous behaviour
+set the axes' aspect ratio to automatic by using ``ax.set_aspect("auto")`` or
+``plt.axis("auto")``.
+
+Add ``ax.get_gridspec`` to ``SubplotBase``
+------------------------------------------
+
+New method ``SubplotBase.get_gridspec`` is added so that users can
+easily get the gridspec that went into making an axes:
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    fig, axs = plt.subplots(3, 2)
+    gs = axs[0, -1].get_gridspec()
+
+    # remove the last column
+    for ax in axs[:,-1].flatten():
+      ax.remove()
+
+    # make a subplot in last column that spans rows.
+    ax = fig.add_subplot(gs[:, -1])
+    plt.show()
+
+
+Axes titles will no longer overlap xaxis
+----------------------------------------
+
+Previously an axes title had to be moved manually if an xaxis overlapped
+(usually when the xaxis was put on the top of the axes).  Now, the title
+will be automatically moved above the xaxis and its decorators (including
+the xlabel) if they are at the top.
+
+If desired, the title can still be placed manually.  There is a slight kludge;
+the algorithm checks if the y-position of the title is 1.0 (the default),
+and moves if it is.  If the user places the title in the default location
+(i.e. ``ax.title.set_position(0.5, 1.0)``), the title will still be moved
+above the xaxis.  If the user wants to avoid this, they can
+specify a number that is close (i.e. ``ax.title.set_position(0.5, 1.01)``)
+and the title will not be moved via this algorithm.
+
+
+
+New convenience methods for GridSpec
+------------------------------------
+
+There are new convenience methods for `.gridspec.GridSpec` and
+`.gridspec.GridSpecFromSubplotSpec`.  Instead of the former we can
+now call `.Figure.add_gridspec` and for the latter `.SubplotSpec.subgridspec`.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    fig = plt.figure()
+    gs0 = fig.add_gridspec(3, 1)
+    ax1 = fig.add_subplot(gs0[0])
+    ax2 = fig.add_subplot(gs0[1])
+    gssub = gs0[2].subgridspec(1, 3)
+    for i in range(3):
+        fig.add_subplot(gssub[0, i])
+
+
+Figure has an `~.figure.Figure.add_artist` method
+-------------------------------------------------
+
+A method `~.figure.Figure.add_artist` has been added to the
+:class:`~.figure.Figure` class, which allows artists to be added directly
+to a figure. E.g. ::
+
+   circ = plt.Circle((.7, .5), .05)
+   fig.add_artist(circ)
+
+In case the added artist has no transform set previously, it will be set to
+the figure transform (``fig.transFigure``).
+This new method may be useful for adding artists to figures without axes or to
+easily position static elements in figure coordinates.
+
+
+``:math:`` directive renamed to ``:mathmpl:``
+---------------------------------------------
+
+The ``:math:`` rst role provided by `matplotlib.sphinxext.mathmpl` has been
+renamed to ``:mathmpl:`` to avoid conflicting with the ``:math:`` role that
+Sphinx 1.8 provides by default.  (``:mathmpl:`` uses Matplotlib to render math
+expressions to images embedded in html, whereas Sphinx uses MathJax.)
+
+When using Sphinx<1.8, both names (``:math:`` and ``:mathmpl:``) remain
+available for backwards-compatibility.
diff --git a/doc/users/prev_whats_new/whats_new_3.1.0.rst b/doc/users/prev_whats_new/whats_new_3.1.0.rst
new file mode 100644
index 000000000000..9f53435b89f6
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.1.0.rst
@@ -0,0 +1,374 @@
+.. _whats-new-3-1-0:
+
+What's new in Matplotlib 3.1 (May 18, 2019)
+===========================================
+
+For a list of all of the issues and pull requests since the last
+revision, see the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+New Features
+------------
+
+`~.dates.ConciseDateFormatter`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The automatic date formatter used by default can be quite verbose.  A new
+formatter can be accessed that tries to make the tick labels appropriately
+concise.
+
+.. plot::
+
+    import datetime
+    import matplotlib.pyplot as plt
+    import matplotlib.dates as mdates
+    import numpy as np
+
+    # make a timeseries...
+    base = datetime.datetime(2005, 2, 1)
+    dates = np.array([base + datetime.timedelta(hours= 2 * i)
+                      for i in range(732)])
+    N = len(dates)
+    np.random.seed(19680801)
+    y = np.cumsum(np.random.randn(N))
+
+    lims = [(np.datetime64('2005-02'), np.datetime64('2005-04')),
+            (np.datetime64('2005-02-03'), np.datetime64('2005-02-15')),
+            (np.datetime64('2005-02-03 11:00'), np.datetime64('2005-02-04 13:20'))]
+    fig, axs = plt.subplots(3, 1, constrained_layout=True)
+    for nn, ax in enumerate(axs):
+        # activate the formatter here.
+        locator = mdates.AutoDateLocator()
+        formatter = mdates.ConciseDateFormatter(locator)
+        ax.xaxis.set_major_locator(locator)
+        ax.xaxis.set_major_formatter(formatter)
+
+        ax.plot(dates, y)
+        ax.set_xlim(lims[nn])
+    axs[0].set_title('Concise Date Formatter')
+
+    plt.show()
+
+Secondary x/y Axis support
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+A new method provides the ability to add a second axis to an existing
+axes via `.Axes.secondary_xaxis` and `.Axes.secondary_yaxis`.  See
+:doc:`/gallery/subplots_axes_and_figures/secondary_axis` for examples.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots(figsize=(5, 3))
+    ax.plot(range(360))
+    ax.secondary_xaxis('top', functions=(np.deg2rad, np.rad2deg))
+
+
+`~.scale.FuncScale` for arbitrary axes scales
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+A new `~.scale.FuncScale` class was added (and `~.scale.FuncTransform`)
+to allow the user to have arbitrary scale transformations without having to
+write a new subclass of `~.scale.ScaleBase`.  This can be accessed by::
+
+  ax.set_yscale('function', functions=(forward, inverse))
+
+where ``forward`` and ``inverse`` are callables that return the scale
+transform and its inverse.  See the last example in
+:doc:`/gallery/scales/scales`.
+
+
+Legend for scatter
+~~~~~~~~~~~~~~~~~~
+
+A new method for creating legends for scatter plots has been
+introduced.  Previously, in order to obtain a legend for a
+:meth:`~.axes.Axes.scatter` plot, one could either plot several
+scatters, each with an individual label, or create proxy artists to
+show in the legend manually.  Now,
+:class:`~.collections.PathCollection` provides a method
+:meth:`~.collections.PathCollection.legend_elements` to obtain the
+handles and labels for a scatter plot in an automated way. This makes
+creating a legend for a scatter plot as easy as
+
+.. plot::
+
+    scatter = plt.scatter([1,2,3], [4,5,6], c=[7,2,3])
+    plt.legend(*scatter.legend_elements())
+
+An example can be found in :ref:`automatedlegendcreation`.
+
+
+Matplotlib no longer requires framework app build on MacOSX backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previous versions of matplotlib required a Framework build of python to
+work. The app type was updated to no longer require this, so the MacOSX
+backend should work with non-framework python.
+
+
+This also adds support for the MacOSX backend for PyPy3.
+
+
+Figure, FigureCanvas, and Backends
+----------------------------------
+
+Figure.frameon is now a direct proxy for the Figure patch visibility state
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Accessing ``Figure.frameon`` (including via ``get_frameon`` and ``set_frameon``
+now directly forwards to the visibility of the underlying Rectangle artist
+(``Figure.patch.get_frameon``, ``Figure.patch.set_frameon``).
+
+
+*pil_kwargs* argument added to savefig
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Matplotlib uses Pillow to handle saving to the JPEG and TIFF formats.  The
+`~.Figure.savefig()` function gained a *pil_kwargs* keyword argument, which can
+be used to forward arguments to Pillow's `PIL.Image.Image.save`.
+
+The *pil_kwargs* argument can also be used when saving to PNG.  In that case,
+Matplotlib also uses Pillow's `PIL.Image.Image.save` instead of going through its
+own builtin PNG support.
+
+
+Add ``inaxes`` method to `.FigureCanvasBase`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.FigureCanvasBase` class has now an `~.FigureCanvasBase.inaxes`
+method to check whether a point is in an axes and returns the topmost
+axes, else None.
+
+cairo backend defaults to pycairo instead of cairocffi
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+This leads to faster import/runtime performance in some cases. The backend
+will fall back to cairocffi in case pycairo isn't available.
+
+
+Axes and Artists
+----------------
+
+axes_grid1 and axisartist Axes no longer draw spines twice
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, spines of `.axes_grid1` and `.axisartist` Axes would be drawn twice,
+leading to a "bold" appearance.  This is no longer the case.
+
+
+Return type of ArtistInspector.get_aliases changed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`.ArtistInspector.get_aliases` previously returned the set of aliases as
+``{fullname: {alias1: None, alias2: None, ...}}``.  The dict-to-None mapping
+was used to simulate a set in earlier versions of Python.  It has now been
+replaced by a set, i.e. ``{fullname: {alias1, alias2, ...}}``.
+
+This value is also stored in ``ArtistInspector.aliasd``, which has likewise
+changed.
+
+
+`.ConnectionPatch` accepts arbitrary transforms
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Alternatively to strings like ``"data"`` or ``"axes fraction"``,
+`.ConnectionPatch` now accepts any `~matplotlib.transforms.Transform` as input
+for the *coordsA* and *coordsB* arguments. This allows to draw lines between
+points defined in different user defined coordinate systems. Also see 
+:ref:`using_connectionpatch`.
+
+mplot3d Line3D now allows {set,get}_data_3d
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Lines created with the 3d projection in mplot3d can now access the
+data using `~.mplot3d.art3d.Line3D.get_data_3d()` which returns a
+tuple of array_likes containing the (x, y, z) data. The equivalent
+`~.mplot3d.art3d.Line3D.set_data_3d` can be used to modify the data of
+an existing Line3D.
+
+
+``Axes3D.voxels`` now shades the resulting voxels
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The `.Axes3D.voxels` method now takes a
+*shade* parameter that defaults to `True`. This shades faces based
+on their orientation, behaving just like the matching parameters to
+:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf` and
+:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.bar3d`.  The plot below shows how
+this affects the output.
+
+.. plot::
+
+	import matplotlib.pyplot as plt
+	import numpy as np
+
+	# prepare some coordinates
+	x, y, z = np.indices((8, 8, 8))
+
+	# draw cuboids in the top left and bottom right corners, and a link between them
+	cube1 = (x < 3) & (y < 3) & (z < 3)
+	cube2 = (x >= 5) & (y >= 5) & (z >= 5)
+	link = abs(x - y) + abs(y - z) + abs(z - x) <= 2
+
+	# combine the objects into a single boolean array
+	voxels = cube1 | cube2 | link
+
+	# set the colors of each object
+	colors = np.empty(voxels.shape, dtype=object)
+	colors[link] = 'red'
+	colors[cube1] = 'blue'
+	colors[cube2] = 'green'
+
+	# and plot everything
+	fig = plt.figure(figsize=plt.figaspect(0.5))
+	ax, ax_shaded = fig.subplots(1, 2, subplot_kw=dict(projection='3d'))
+	ax.voxels(voxels, facecolors=colors, edgecolor='k', shade=False)
+	ax.set_title("Unshaded")
+	ax_shaded.voxels(voxels, facecolors=colors, edgecolor='k', shade=True)
+	ax_shaded.set_title("Shaded (default)")
+
+	plt.show()
+
+Axis and Ticks
+--------------
+
+Added `.Axis.get_inverted` and `.Axis.set_inverted`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The `.Axis.get_inverted` and `.Axis.set_inverted` methods query and set whether
+the axis uses "inverted" orientation (i.e. increasing to the left for the
+x-axis and to the bottom for the y-axis).
+
+They perform tasks similar to `.Axes.xaxis_inverted`, `.Axes.yaxis_inverted`,
+`.Axes.invert_xaxis`, and `.Axes.invert_yaxis`, with the specific difference
+that `.Axis.set_inverted` makes it easier to set the inversion of an axis
+regardless of whether it had previously been inverted before.
+
+Adjust default minor tick spacing
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Default minor tick spacing was changed from 0.625 to 0.5 for major ticks spaced
+2.5 units apart.
+
+
+`.EngFormatter` now accepts *usetex*, *useMathText* as keyword only arguments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+A public API has been added to `.EngFormatter` to control how the numbers in
+the ticklabels will be rendered. By default, *useMathText* evaluates to
+:rc:`axes.formatter.use_mathtext` and *usetex* evaluates to :rc:`text.usetex`.
+
+If either is `True` then the numbers will be encapsulated by ``$``
+signs.  When using ``TeX`` this implies that the numbers will be shown
+in TeX's math font. When using mathtext, the ``$`` signs around
+numbers will ensure Unicode rendering (as implied by mathtext). This
+will make sure that the minus signs in the ticks are rendered as the
+Unicode minus (U+2212) when using mathtext (without relying on the
+`~.Formatter.fix_minus` method).
+
+
+
+Animation and Interactivity
+---------------------------
+
+Support for forward/backward mouse buttons
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Figure managers now support a ``button_press`` event for mouse
+buttons, similar to the ``key_press`` events. This allows binding
+actions to mouse buttons (see `.MouseButton`) The first application of
+this mechanism is support of forward/backward mouse buttons in figures
+created with the Qt5 backend.
+
+
+*progress_callback* argument to `~.Animation.save()`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The method `.Animation.save` gained an optional
+*progress_callback* argument to notify the saving progress.
+
+
+Add ``cache_frame_data`` keyword-only argument into `.animation.FuncAnimation`
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`.matplotlib.animation.FuncAnimation` has been caching frame data by
+default; however, this caching is not ideal in certain cases e.g. When
+`.FuncAnimation` needs to be only drawn(not saved) interactively and
+memory required by frame data is quite large. By adding
+*cache_frame_data* keyword-only argument, users can now disable this
+caching; thereby, this new argument provides a fix for issue
+:ghissue:`8528`.
+
+
+Endless Looping GIFs with PillowWriter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+We acknowledge that most people want to watch a GIF more than
+once. Saving an animation as a GIF with PillowWriter now produces an
+endless looping GIF.
+
+
+Adjusted `.matplotlib.widgets.Slider` to have vertical orientation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The :class:`matplotlib.widgets.Slider` widget now takes an optional
+argument *orientation* which indicates the direction
+(``'horizontal'`` or ``'vertical'``) that the slider should take.
+
+Improved formatting of image values under cursor when a colorbar is present
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When a colorbar is present, its formatter is now used to format the image
+values under the mouse cursor in the status bar.  For example, for an image
+displaying the values 10,000 and 10,001, the statusbar will now (using default
+settings) display the values as ``10000`` and ``10001``), whereas both values
+were previously displayed as ``1e+04``.
+
+MouseEvent button attribute is now an IntEnum
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``button`` attribute of `~.MouseEvent` instances can take the values
+None, 1 (left button), 2 (middle button), 3 (right button), "up" (scroll), and
+"down" (scroll).  For better legibility, the 1, 2, and 3 values are now
+represented using the `enum.IntEnum` class `matplotlib.backend_bases.MouseButton`,
+with the values `.MouseButton.LEFT` (``== 1``), `.MouseButton.MIDDLE` (``== 2``),
+and `.MouseButton.RIGHT` (``== 3``).
+
+
+Configuration, Install, and Development
+---------------------------------------
+
+The MATPLOTLIBRC environment variable can now point to any "file" path
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This includes device files; in particular, on Unix systems, one can set
+``MATPLOTLIBRC`` to ``/dev/null`` to ignore the user's matplotlibrc file and
+fall back to Matplotlib's defaults.
+
+As a reminder, if ``MATPLOTLIBRC`` points to a directory, Matplotlib will try
+to load the matplotlibrc file from ``$MATPLOTLIBRC/matplotlibrc``.
+
+
+Allow LaTeX code ``pgf.preamble`` and ``text.latex.preamble`` in MATPLOTLIBRC file
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously, the rc file keys :rc:`pgf.preamble` and
+:rc:`text.latex.preamble` were parsed using commas as separators. This
+would break valid LaTeX code, such as::
+
+   \usepackage[protrusion=true, expansion=false]{microtype}
+
+The parsing has been modified to pass the complete line to the LaTeX
+system, keeping all commas. Passing a list of strings from within a
+Python script still works as it used to.
+
+
+
+New logging API
+~~~~~~~~~~~~~~~
+
+`matplotlib.set_loglevel` / `.pyplot.set_loglevel` can be called to
+display more (or less) detailed logging output.
diff --git a/doc/users/prev_whats_new/whats_new_3.10.0.rst b/doc/users/prev_whats_new/whats_new_3.10.0.rst
new file mode 100644
index 000000000000..06282cedad9a
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.10.0.rst
@@ -0,0 +1,577 @@
+===================================================
+What's new in Matplotlib 3.10.0 (December 13, 2024)
+===================================================
+
+For a list of all of the issues and pull requests since the last revision, see the
+:ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Accessible Colors
+=================
+
+New more-accessible color cycle
+-------------------------------
+
+A new color cycle named 'petroff10' was added. This cycle was constructed using a
+combination of algorithmically-enforced accessibility constraints, including
+color-vision-deficiency modeling, and a machine-learning-based aesthetics model
+developed from a crowdsourced color-preference survey. It aims to be both
+generally pleasing aesthetically and colorblind accessible such that it could
+serve as a default in the aim of universal design. For more details
+see `Petroff, M. A.: "Accessible Color Sequences for Data Visualization"
+<https://arxiv.org/abs/2107.02270>`_ and related `SciPy talk`_. A demonstration
+is included in the style sheets reference_. To load this color cycle in place
+of the default::
+
+  import matplotlib.pyplot as plt
+  plt.style.use('petroff10')
+
+.. _reference: https://matplotlib.org/gallery/style_sheets/style_sheets_reference.html
+.. _SciPy talk: https://www.youtube.com/watch?v=Gapv8wR5DYU
+
+Dark-mode diverging colormaps
+-----------------------------
+
+Three diverging colormaps have been added: "berlin", "managua", and "vanimo".
+They are dark-mode diverging colormaps, with minimum lightness at the center,
+and maximum at the extremes. These are taken from F. Crameri's Scientific
+colour maps version 8.0.1 (DOI: https://doi.org/10.5281/zenodo.1243862).
+
+
+.. plot::
+    :include-source: true
+    :alt: Example figures using "imshow" with dark-mode diverging colormaps on positive and negative data. First panel: "berlin" (blue to red with a black center); second panel: "managua" (orange to cyan with a dark purple center); third panel: "vanimo" (pink to green with a black center).
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    vals = np.linspace(-5, 5, 100)
+    x, y = np.meshgrid(vals, vals)
+    img = np.sin(x*y)
+
+    _, ax = plt.subplots(1, 3)
+    ax[0].imshow(img, cmap="berlin")
+    ax[1].imshow(img, cmap="managua")
+    ax[2].imshow(img, cmap="vanimo")
+
+
+
+Plotting and Annotation improvements
+====================================
+
+
+
+
+Plotting and Annotation improvements
+====================================
+
+
+Specifying a single color in ``contour`` and ``contourf``
+---------------------------------------------------------
+
+`~.Axes.contour` and `~.Axes.contourf` previously accepted a single color
+provided it was expressed as a string.  This restriction has now been removed
+and a single color in any format described in the :ref:`colors_def` tutorial
+may be passed.
+
+.. plot::
+    :include-source: true
+    :alt: Two-panel example contour plots.  The left panel has all transparent red contours.  The right panel has all dark blue contours.
+
+    import matplotlib.pyplot as plt
+
+    fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(6, 3))
+    z = [[0, 1], [1, 2]]
+
+    ax1.contour(z, colors=('r', 0.4))
+    ax2.contour(z, colors=(0.1, 0.2, 0.5))
+
+    plt.show()
+
+Vectorized ``hist`` style parameters
+------------------------------------
+
+The parameters *hatch*, *edgecolor*, *facecolor*, *linewidth* and *linestyle*
+of the `~matplotlib.axes.Axes.hist` method are now vectorized.
+This means that you can pass in individual parameters for each histogram
+when the input *x* has multiple datasets.
+
+
+.. plot::
+    :include-source: true
+    :alt: Four charts, each displaying stacked histograms of three Poisson distributions. Each chart differentiates the histograms using various parameters: top left uses different linewidths, top right uses different hatches, bottom left uses different edgecolors, and bottom right uses different facecolors. Each histogram on the left side also has a different edgecolor.
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+    np.random.seed(19680801)
+
+    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(9, 9))
+
+    data1 = np.random.poisson(5, 1000)
+    data2 = np.random.poisson(7, 1000)
+    data3 = np.random.poisson(10, 1000)
+
+    labels = ["Data 1", "Data 2", "Data 3"]
+
+    ax1.hist([data1, data2, data3], bins=range(17), histtype="step", stacked=True,
+             edgecolor=["red", "green", "blue"], linewidth=[1, 2, 3])
+    ax1.set_title("Different linewidths")
+    ax1.legend(labels)
+
+    ax2.hist([data1, data2, data3], bins=range(17), histtype="barstacked",
+             hatch=["/", ".", "*"])
+    ax2.set_title("Different hatch patterns")
+    ax2.legend(labels)
+
+    ax3.hist([data1, data2, data3], bins=range(17), histtype="bar", fill=False,
+             edgecolor=["red", "green", "blue"], linestyle=["--", "-.", ":"])
+    ax3.set_title("Different linestyles")
+    ax3.legend(labels)
+
+    ax4.hist([data1, data2, data3], bins=range(17), histtype="barstacked",
+             facecolor=["red", "green", "blue"])
+    ax4.set_title("Different facecolors")
+    ax4.legend(labels)
+
+    plt.show()
+
+``InsetIndicator`` artist
+-------------------------
+
+`~.Axes.indicate_inset` and `~.Axes.indicate_inset_zoom` now return an instance
+of `~matplotlib.inset.InsetIndicator` which contains the rectangle and
+connector patches.  These patches now update automatically so that
+
+.. code-block:: python
+
+    ax.indicate_inset_zoom(ax_inset)
+    ax_inset.set_xlim(new_lim)
+
+now gives the same result as
+
+.. code-block:: python
+
+    ax_inset.set_xlim(new_lim)
+    ax.indicate_inset_zoom(ax_inset)
+
+``matplotlib.ticker.EngFormatter`` can computes offsets now
+-----------------------------------------------------------
+
+`matplotlib.ticker.EngFormatter` has gained the ability to show an offset text near the
+axis. Using logic shared with `matplotlib.ticker.ScalarFormatter`, it is capable of
+deciding whether the data qualifies having an offset and show it with an appropriate SI
+quantity prefix, and with the supplied ``unit``.
+
+To enable this new behavior, simply pass ``useOffset=True`` when you
+instantiate `matplotlib.ticker.EngFormatter`. See example
+:doc:`/gallery/ticks/engformatter_offset`.
+
+.. plot:: gallery/ticks/engformatter_offset.py
+
+
+Fix padding of single colorbar for ``ImageGrid``
+------------------------------------------------
+
+``ImageGrid`` with ``cbar_mode="single"`` no longer adds the ``axes_pad`` between the
+axes and the colorbar for ``cbar_location`` "left" and "bottom". If desired, add additional spacing
+using ``cbar_pad``.
+
+``ax.table`` will accept a pandas DataFrame
+--------------------------------------------
+
+The `~.axes.Axes.table` method can now accept a Pandas DataFrame for the ``cellText`` argument.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+    import pandas as pd
+
+    data = {
+        'Letter': ['A', 'B', 'C'],
+        'Number': [100, 200, 300]
+    }
+
+    df = pd.DataFrame(data)
+    fig, ax = plt.subplots()
+    table = ax.table(df, loc='center')  # or table = ax.table(cellText=df, loc='center')
+    ax.axis('off')
+    plt.show()
+
+
+Subfigures are now added in row-major order
+-------------------------------------------
+
+``Figure.subfigures`` are now added in row-major order for API consistency.
+
+
+.. plot::
+    :include-source: true
+    :alt: Example of creating 3 by 3 subfigures.
+
+    import matplotlib.pyplot as plt
+
+    fig = plt.figure()
+    subfigs = fig.subfigures(3, 3)
+    x = np.linspace(0, 10, 100)
+
+    for i, sf in enumerate(fig.subfigs):
+        ax = sf.subplots()
+        ax.plot(x, np.sin(x + i), label=f'Subfigure {i+1}')
+        sf.suptitle(f'Subfigure {i+1}')
+        ax.set_xticks([])
+        ax.set_yticks([])
+    plt.show()
+
+
+``boxplot`` and ``bxp`` orientation parameter
+---------------------------------------------
+
+Boxplots have a new parameter *orientation: {"vertical", "horizontal"}*
+to change the orientation of the plot. This replaces the deprecated
+*vert: bool* parameter.
+
+
+.. plot::
+    :include-source: true
+    :alt: Example of creating 4 horizontal boxplots.
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots()
+    np.random.seed(19680801)
+    all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
+
+    ax.boxplot(all_data, orientation='horizontal')
+    plt.show()
+
+
+``violinplot`` and ``violin`` orientation parameter
+---------------------------------------------------
+
+Violinplots have a new parameter *orientation: {"vertical", "horizontal"}*
+to change the orientation of the plot. This will replace the deprecated
+*vert: bool* parameter.
+
+
+.. plot::
+    :include-source: true
+    :alt: Example of creating 4 horizontal violinplots.
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots()
+    np.random.seed(19680801)
+    all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
+
+    ax.violinplot(all_data, orientation='horizontal')
+    plt.show()
+
+``FillBetweenPolyCollection``
+-----------------------------
+
+The new class :class:`matplotlib.collections.FillBetweenPolyCollection` provides
+the ``set_data`` method, enabling e.g. resampling
+(:file:`galleries/event_handling/resample.html`).
+:func:`matplotlib.axes.Axes.fill_between` and
+:func:`matplotlib.axes.Axes.fill_betweenx` now return this new class.
+
+.. code-block:: python
+
+    import numpy as np
+    from matplotlib import pyplot as plt
+
+    t = np.linspace(0, 1)
+
+    fig, ax = plt.subplots()
+    coll = ax.fill_between(t, -t**2, t**2)
+    fig.savefig("before.png")
+
+    coll.set_data(t, -t**4, t**4)
+    fig.savefig("after.png")
+
+
+``matplotlib.colorizer.Colorizer`` as container for ``norm`` and ``cmap``
+-------------------------------------------------------------------------
+
+ `matplotlib.colorizer.Colorizer` encapsulates the data-to-color pipeline. It makes reuse of colormapping easier, e.g. across multiple images. Plotting methods that support *norm* and *cmap* keyword arguments now also accept a *colorizer* keyword argument.
+
+In the following example the norm and cmap are changed on multiple plots simultaneously:
+
+
+.. plot::
+    :include-source: true
+    :alt: Example use of a matplotlib.colorizer.Colorizer object
+
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import numpy as np
+
+    x = np.linspace(-2, 2, 50)[np.newaxis, :]
+    y = np.linspace(-2, 2, 50)[:, np.newaxis]
+    im_0 = 1 * np.exp( - (x**2 + y**2 - x * y))
+    im_1 = 2 * np.exp( - (x**2 + y**2 + x * y))
+
+    colorizer = mpl.colorizer.Colorizer()
+    fig, axes = plt.subplots(1, 2, figsize=(6, 2))
+    cim_0 = axes[0].imshow(im_0, colorizer=colorizer)
+    fig.colorbar(cim_0)
+    cim_1 = axes[1].imshow(im_1, colorizer=colorizer)
+    fig.colorbar(cim_1)
+
+    colorizer.vmin = 0.5
+    colorizer.vmax = 2
+    colorizer.cmap = 'RdBu'
+
+All plotting methods that use a data-to-color pipeline now create a colorizer object if one is not provided. This can be re-used by subsequent artists such that they will share a single data-to-color pipeline:
+
+.. plot::
+    :include-source: true
+    :alt: Example of how artists that share a ``colorizer`` have coupled colormaps
+
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import numpy as np
+
+    x = np.linspace(-2, 2, 50)[np.newaxis, :]
+    y = np.linspace(-2, 2, 50)[:, np.newaxis]
+    im_0 = 1 * np.exp( - (x**2 + y**2 - x * y))
+    im_1 = 2 * np.exp( - (x**2 + y**2 + x * y))
+
+    fig, axes = plt.subplots(1, 2, figsize=(6, 2))
+
+    cim_0 = axes[0].imshow(im_0, cmap='RdBu', vmin=0.5, vmax=2)
+    fig.colorbar(cim_0)
+    cim_1 = axes[1].imshow(im_1, colorizer=cim_0.colorizer)
+    fig.colorbar(cim_1)
+
+    cim_1.cmap = 'rainbow'
+
+3D plotting improvements
+========================
+
+
+Fill between 3D lines
+---------------------
+
+The new method `.Axes3D.fill_between` allows to fill the surface between two
+3D lines with polygons.
+
+.. plot::
+    :include-source:
+    :alt: Example of 3D fill_between
+
+    N = 50
+    theta = np.linspace(0, 2*np.pi, N)
+
+    x1 = np.cos(theta)
+    y1 = np.sin(theta)
+    z1 = 0.1 * np.sin(6 * theta)
+
+    x2 = 0.6 * np.cos(theta)
+    y2 = 0.6 * np.sin(theta)
+    z2 = 2  # Note that scalar values work in addition to length N arrays
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.fill_between(x1, y1, z1, x2, y2, z2,
+                    alpha=0.5, edgecolor='k')
+
+Rotating 3d plots with the mouse
+--------------------------------
+
+Rotating three-dimensional plots with the mouse has been made more intuitive.
+The plot now reacts the same way to mouse movement, independent of the
+particular orientation at hand; and it is possible to control all 3 rotational
+degrees of freedom (azimuth, elevation, and roll). By default,
+it uses a variation on Ken Shoemake's ARCBALL [1]_.
+The particular style of mouse rotation can be set via
+:rc:`axes3d.mouserotationstyle`.
+See also :ref:`toolkit_mouse-rotation`.
+
+To revert to the original mouse rotation style,
+create a file ``matplotlibrc`` with contents::
+
+    axes3d.mouserotationstyle: azel
+
+To try out one of the various mouse rotation styles:
+
+.. code::
+
+    import matplotlib as mpl
+    mpl.rcParams['axes3d.mouserotationstyle'] = 'trackball'  # 'azel', 'trackball', 'sphere', or 'arcball'
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from matplotlib import cm
+
+    ax = plt.figure().add_subplot(projection='3d')
+
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+
+    surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
+                           linewidth=0, antialiased=False)
+
+    plt.show()
+
+
+.. [1] Ken Shoemake, "ARCBALL: A user interface for specifying
+  three-dimensional rotation using a mouse", in Proceedings of Graphics
+  Interface '92, 1992, pp. 151-156, https://doi.org/10.20380/GI1992.18
+
+
+
+Data in 3D plots can now be dynamically clipped to the axes view limits
+-----------------------------------------------------------------------
+
+All 3D plotting functions now support the *axlim_clip* keyword argument, which
+will clip the data to the axes view limits, hiding all data outside those
+bounds. This clipping will be dynamically applied in real time while panning
+and zooming.
+
+Please note that if one vertex of a line segment or 3D patch is clipped, then
+the entire segment or patch will be hidden. Not being able to show partial
+lines or patches such that they are "smoothly" cut off at the boundaries of the
+view box is a limitation of the current renderer.
+
+.. plot::
+    :include-source: true
+    :alt: Example of default behavior (blue) and axlim_clip=True (orange)
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    x = np.arange(-5, 5, 0.5)
+    y = np.arange(-5, 5, 0.5)
+    X, Y = np.meshgrid(x, y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+
+    # Note that when a line has one vertex outside the view limits, the entire
+    # line is hidden. The same is true for 3D patches (not shown).
+    # In this example, data where x < 0 or z > 0.5 is clipped.
+    ax.plot_wireframe(X, Y, Z, color='C0')
+    ax.plot_wireframe(X, Y, Z, color='C1', axlim_clip=True)
+    ax.set(xlim=(0, 10), ylim=(-5, 5), zlim=(-1, 0.5))
+    ax.legend(['axlim_clip=False (default)', 'axlim_clip=True'])
+
+
+Preliminary support for free-threaded CPython 3.13
+==================================================
+
+Matplotlib 3.10 has preliminary support for the free-threaded build of CPython 3.13. See
+https://py-free-threading.github.io, `PEP 703 <https://peps.python.org/pep-0703/>`_ and
+the `CPython 3.13 release notes
+<https://docs.python.org/3.13/whatsnew/3.13.html#free-threaded-cpython>`_ for more detail
+about free-threaded Python.
+
+Support for free-threaded Python does not mean that Matplotlib is wholly thread safe. We
+expect that use of a Figure within a single thread will work, and though input data is
+usually copied, modification of data objects used for a plot from another thread may
+cause inconsistencies in cases where it is not. Use of any global state (such as the
+``pyplot`` module) is highly discouraged and unlikely to work consistently. Also note
+that most GUI toolkits expect to run on the main thread, so interactive usage may be
+limited or unsupported from other threads.
+
+If you are interested in free-threaded Python, for example because you have a
+multiprocessing-based workflow that you are interested in running with Python threads, we
+encourage testing and experimentation. If you run into problems that you suspect are
+because of Matplotlib, please open an issue, checking first if the bug also occurs in the
+“regular� non-free-threaded CPython 3.13 build.
+
+
+
+Other Improvements
+==================
+
+``svg.id`` rcParam
+------------------
+
+:rc:`svg.id` lets you insert an ``id`` attribute into the top-level ``<svg>`` tag.
+
+e.g. ``rcParams["svg.id"] = "svg1"`` results in
+
+.. code-block:: XML
+
+    <svg
+        xmlns:xlink="http://www.w3.org/1999/xlink"
+        width="50pt" height="50pt"
+        viewBox="0 0 50 50"
+        xmlns="http://www.w3.org/2000/svg"
+        version="1.1"
+        id="svg1"
+    ></svg>
+
+This is useful if you would like to link the entire matplotlib SVG file within
+another SVG file with the ``<use>`` tag.
+
+.. code-block:: XML
+
+    <svg>
+    <use
+        width="50" height="50"
+        xlink:href="mpl.svg#svg1" id="use1"
+        x="0" y="0"
+    /></svg>
+
+Where the ``#svg1`` indicator will now refer to the top level ``<svg>`` tag, and
+will hence result in the inclusion of the entire file.
+
+By default, no ``id`` tag is included.
+
+Exception handling control
+--------------------------
+
+The exception raised when an invalid keyword parameter is passed now includes
+that parameter name as the exception's ``name`` property.  This provides more
+control for exception handling:
+
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    def wobbly_plot(args, **kwargs):
+        w = kwargs.pop('wobble_factor', None)
+
+        try:
+            plt.plot(args, **kwargs)
+        except AttributeError as e:
+            raise AttributeError(f'wobbly_plot does not take parameter {e.name}') from e
+
+
+    wobbly_plot([0, 1], wibble_factor=5)
+
+.. code-block::
+
+    AttributeError: wobbly_plot does not take parameter wibble_factor
+
+Increased Figure limits with Agg renderer
+-----------------------------------------
+
+Figures using the Agg renderer are now limited to 2**23 pixels in each
+direction, instead of 2**16. Additionally, bugs that caused artists to not
+render past 2**15 pixels horizontally have been fixed.
+
+Note that if you are using a GUI backend, it may have its own smaller limits
+(which may themselves depend on screen size.)
+
+
+
+Miscellaneous Changes
+---------------------
+
+- The `matplotlib.ticker.ScalarFormatter` class has gained a new instantiating parameter ``usetex``.
+- Creating an Axes is now 20-25% faster due to internal optimizations.
+- The API on `.Figure.subfigures` and `.SubFigure` are now considered stable.
diff --git a/doc/users/prev_whats_new/whats_new_3.2.0.rst b/doc/users/prev_whats_new/whats_new_3.2.0.rst
new file mode 100644
index 000000000000..12d7fab3af90
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.2.0.rst
@@ -0,0 +1,136 @@
+.. _whats-new-3-2-0:
+
+What's new in Matplotlib 3.2 (Mar 04, 2020)
+===========================================
+
+For a list of all of the issues and pull requests since the last
+revision, see the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+
+Unit converters recognize subclasses
+------------------------------------
+Unit converters now also handle instances of subclasses of the class they have
+been registered for.
+
+`~.pyplot.imsave` accepts metadata and PIL options
+--------------------------------------------------
+`~.pyplot.imsave` has gained support for the ``metadata`` and ``pil_kwargs``
+parameters. These parameters behave similarly as for the `.Figure.savefig()`
+method.
+
+`.cbook.normalize_kwargs`
+-------------------------
+`.cbook.normalize_kwargs` now presents a convenient interface to normalize
+artist properties (e.g., from "lw" to "linewidth"):
+
+>>> cbook.normalize_kwargs({"lw": 1}, Line2D)
+{"linewidth": 1}
+
+The first argument is the mapping to be normalized, and the second argument can
+be an artist class or an artist instance (it can also be a mapping in a
+specific format; see the function's docstring for details).
+
+`.FontProperties` accepts `os.PathLike`
+---------------------------------------
+The *fname* argument to `.FontProperties` can now be an `os.PathLike`,
+e.g.
+
+>>> FontProperties(fname=pathlib.Path("/path/to/font.ttf"))
+
+Gouraud-shading alpha channel in PDF backend
+--------------------------------------------
+The pdf backend now supports an alpha channel in Gouraud-shaded
+triangle meshes.
+
+.. _whats-new-3-2-0-kerning:
+
+Kerning adjustments now use correct values
+------------------------------------------
+Due to an error in how kerning adjustments were applied, previous versions of
+Matplotlib would under-correct kerning. This version will now correctly apply
+kerning (for fonts supported by FreeType). To restore the old behavior (e.g.,
+for test images), you may set :rc:`text.kerning_factor` to 6 (instead of 0).
+Other values have undefined behavior.
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+
+   # Use old kerning values:
+   plt.rcParams['text.kerning_factor'] = 6
+   fig, ax = plt.subplots()
+   ax.text(0.0, 0.05, 'BRAVO\nAWKWARD\nVAT\nW.Test', fontsize=56)
+   ax.set_title('Before (text.kerning_factor = 6)')
+
+Note how the spacing between characters is uniform between their bounding boxes
+(above). With corrected kerning (below), slanted characters (e.g., AV or VA)
+will be spaced closer together, as well as various other character pairs,
+depending on font support (e.g., T and e, or the period after the W).
+
+.. plot::
+
+   import matplotlib.pyplot as plt
+
+   # Use new kerning values:
+   plt.rcParams['text.kerning_factor'] = 0
+   fig, ax = plt.subplots()
+   ax.text(0.0, 0.05, 'BRAVO\nAWKWARD\nVAT\nW.Test', fontsize=56)
+   ax.set_title('After (text.kerning_factor = 0)')
+
+
+bar3d lightsource shading
+-------------------------
+:meth:`~.Axes3D.bar3d` now supports lighting from different angles when the *shade*
+parameter is ``True``, which can be configured using the ``lightsource``
+parameter.
+
+Shifting errorbars
+------------------
+Previously, `~.Axes.errorbar()` accepted a keyword argument *errorevery* such
+that the command ``plt.errorbar(x, y, yerr, errorevery=6)`` would add error
+bars to datapoints ``x[::6], y[::6]``.
+
+`~.Axes.errorbar()` now also accepts a tuple for *errorevery* such that
+``plt.errorbar(x, y, yerr, errorevery=(start, N))`` adds error bars to points
+``x[start::N], y[start::N]``.
+
+Improvements in Logit scale ticker and formatter
+------------------------------------------------
+Introduced in version 1.5, the logit scale didn't have an appropriate ticker and
+formatter. Previously, the location of ticks was not zoom dependent, too many labels
+were displayed causing overlapping which broke readability, and label formatting
+did not adapt to precision.
+
+Starting from this version, the logit locator has nearly the same behavior as the
+locator for the log scale or the linear
+scale, depending on used zoom. The number of ticks is controlled. Some minor
+labels are displayed adaptively as sublabels in log scale. Formatting is adapted
+for probabilities and the precision adapts to the scale.
+
+rcParams for axes title location and color
+------------------------------------------
+Two new rcParams have been added: :rc:`axes.titlelocation` denotes the default axes title
+alignment, and :rc:`axes.titlecolor` the default axes title color.
+
+Valid values for ``axes.titlelocation`` are: left, center, and right.
+Valid values for ``axes.titlecolor`` are: auto or a color. Setting it to auto
+will fall back to previous behaviour, which is using the color in ``text.color``.
+
+3-digit and 4-digit hex colors
+------------------------------
+Colors can now be specified using 3-digit or 4-digit hex colors, shorthand for
+the colors obtained by duplicating each character, e.g. ``#123`` is equivalent to
+``#112233`` and  ``#123a`` is equivalent to ``#112233aa``.
+
+
+
+Added support for RGB(A) images in pcolorfast
+---------------------------------------------
+
+`.Axes.pcolorfast` now accepts 3D images (RGB or RGBA) arrays.
diff --git a/doc/users/prev_whats_new/whats_new_3.3.0.rst b/doc/users/prev_whats_new/whats_new_3.3.0.rst
new file mode 100644
index 000000000000..94914bcc75db
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.3.0.rst
@@ -0,0 +1,714 @@
+.. _whats-new-3-3-0:
+
+=============================================
+What's new in Matplotlib 3.3.0 (Jul 16, 2020)
+=============================================
+
+For a list of all of the issues and pull requests since the last
+revision, see the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+
+Figure and Axes creation / management
+=====================================
+
+Provisional API for composing semantic axes layouts from text or nested lists
+-----------------------------------------------------------------------------
+
+The `.Figure` class has a provisional method to generate complex grids of named
+`.axes.Axes` based on nested list input or ASCII art:
+
+.. plot::
+   :include-source:
+
+   axd = plt.figure(constrained_layout=True).subplot_mosaic(
+       [['.', 'histx'],
+        ['histy', 'scat']]
+   )
+   for k, ax in axd.items():
+       ax.text(0.5, 0.5, k,
+               ha='center', va='center', fontsize=36,
+               color='darkgrey')
+
+or as a string (with single-character Axes labels):
+
+.. plot::
+   :include-source:
+
+   axd = plt.figure(constrained_layout=True).subplot_mosaic(
+       """
+       TTE
+       L.E
+       """)
+   for k, ax in axd.items():
+       ax.text(0.5, 0.5, k,
+               ha='center', va='center', fontsize=36,
+               color='darkgrey')
+
+See :ref:`mosaic` for more details and examples.
+
+``GridSpec.subplots()``
+-----------------------
+
+The `.GridSpec` class gained a `~.GridSpecBase.subplots` method, so that one
+can write ::
+
+    fig.add_gridspec(2, 2, height_ratios=[3, 1]).subplots()
+
+as an alternative to ::
+
+    fig.subplots(2, 2, gridspec_kw={"height_ratios": [3, 1]})
+
+New ``Axes.sharex``, ``Axes.sharey`` methods
+--------------------------------------------
+
+These new methods allow sharing axes *immediately* after creating them. Note
+that behavior is indeterminate if axes are not shared immediately after
+creation.
+
+For example, they can be used to selectively link some axes created all
+together using `~.Figure.subplot_mosaic`::
+
+    fig = plt.figure(constrained_layout=True)
+    axd = fig.subplot_mosaic([['.', 'histx'], ['histy', 'scat']],
+                             gridspec_kw={'width_ratios': [1, 7],
+                                          'height_ratios': [2, 7]})
+
+    axd['histx'].sharex(axd['scat'])
+    axd['histy'].sharey(axd['scat'])
+
+.. plot::
+
+    np.random.seed(0)
+    x = np.random.random(100) * 100 + 20
+    y = np.random.random(100) * 50 + 25
+    c = np.random.random(100) - 0.5
+
+    fig = plt.figure(constrained_layout=True)
+    axd = fig.subplot_mosaic([['.', 'histx'], ['histy', 'scat']],
+                             gridspec_kw={'width_ratios': [1, 7],
+                                          'height_ratios': [2, 7]})
+
+    axd['histy'].invert_xaxis()
+    axd['histx'].sharex(axd['scat'])
+    axd['histy'].sharey(axd['scat'])
+
+    im = axd['scat'].scatter(x, y, c=c, cmap='RdBu', picker=True)
+    fig.colorbar(im, orientation='horizontal', ax=axd['scat'], shrink=0.8)
+
+    axd['histx'].hist(x)
+    axd['histy'].hist(y, orientation='horizontal')
+
+tight_layout now supports suptitle
+----------------------------------
+
+Previous versions did not consider `.Figure.suptitle`, so it may overlap with
+other artists after calling `~.Figure.tight_layout`:
+
+.. plot::
+
+    fig, axs = plt.subplots(1, 3)
+    for i, ax in enumerate(axs):
+        ax.plot([1, 2, 3])
+        ax.set_title(f'Axes {i}')
+
+    t = fig.suptitle('suptitle')
+    t.set_in_layout(False)
+    fig.tight_layout()
+
+From now on, the ``suptitle`` will be considered:
+
+.. plot::
+
+    fig, axs = plt.subplots(1, 3)
+    for i, ax in enumerate(axs):
+        ax.plot([1, 2, 3])
+        ax.set_title(f'Axes {i}')
+
+    fig.suptitle('suptitle')
+    fig.tight_layout()
+
+Setting axes box aspect
+-----------------------
+
+It is now possible to set the aspect of an axes box directly via
+`~.Axes.set_box_aspect`. The box aspect is the ratio between axes height and
+axes width in physical units, independent of the data limits. This is useful
+to, e.g., produce a square plot, independent of the data it contains, or to
+have a non-image plot with the same axes dimensions next to an image plot with
+fixed (data-)aspect.
+
+For use cases check out the :doc:`Axes box aspect
+</gallery/subplots_axes_and_figures/axes_box_aspect>` example.
+
+
+Colors and colormaps
+====================
+
+Turbo colormap
+--------------
+
+Turbo is an improved rainbow colormap for visualization, created by the Google
+AI team for computer vision and machine learning. Its purpose is to
+display depth and disparity data. Please see the `Google AI Blog
+<https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html>`_
+for further details.
+
+.. plot::
+
+    gradient = np.linspace(0, 1, 256)
+    gradient = np.vstack((gradient, gradient))
+    cmaps = ['turbo', 'jet', 'gist_rainbow_r', 'hsv_r']
+
+    fig, axs = plt.subplots(len(cmaps), constrained_layout=True)
+    for name, ax in zip(cmaps, axs):
+        ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name))
+        ax.set_title(name)
+        ax.set_axis_off()
+
+``colors.BoundaryNorm`` supports *extend* keyword argument
+----------------------------------------------------------
+
+`~.colors.BoundaryNorm` now has an *extend* keyword argument, analogous to
+*extend* in `~.axes.Axes.contourf`. When set to 'both', 'min', or 'max', it
+maps the corresponding out-of-range values to `~.colors.Colormap` lookup-table
+indices near the appropriate ends of their range so that the colors for out-of
+range values are adjacent to, but distinct from, their in-range neighbors. The
+colorbar inherits the *extend* argument from the norm, so with
+``extend='both'``, for example, the colorbar will have triangular extensions
+for out-of-range values with colors that differ from adjacent in-range colors.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    from matplotlib.colors import BoundaryNorm
+    import numpy as np
+
+    # Make the data
+    dx, dy = 0.05, 0.05
+    y, x = np.mgrid[slice(1, 5 + dy, dy),
+                    slice(1, 5 + dx, dx)]
+    z = np.sin(x) ** 10 + np.cos(10 + y * x) * np.cos(x)
+    z = z[:-1, :-1]
+
+    # Z roughly varies between -1 and +1.
+    # Color boundary levels range from -0.8 to 0.8, so there are out-of-bounds
+    # areas.
+    levels = [-0.8, -0.5, -0.2, 0.2, 0.5, 0.8]
+    cmap = plt.get_cmap('PiYG')
+
+    fig, axs = plt.subplots(nrows=2, constrained_layout=True, sharex=True)
+
+    # Before this change:
+    norm = BoundaryNorm(levels, ncolors=cmap.N)
+    im = axs[0].pcolormesh(x, y, z, cmap=cmap, norm=norm)
+    fig.colorbar(im, ax=axs[0], extend='both')
+    axs[0].axis([x.min(), x.max(), y.min(), y.max()])
+    axs[0].set_title("Colorbar with extend='both'")
+
+    # With the new keyword:
+    norm = BoundaryNorm(levels, ncolors=cmap.N, extend='both')
+    im = axs[1].pcolormesh(x, y, z, cmap=cmap, norm=norm)
+    fig.colorbar(im, ax=axs[1])  # note that the colorbar is updated accordingly
+    axs[1].axis([x.min(), x.max(), y.min(), y.max()])
+    axs[1].set_title("BoundaryNorm with extend='both'")
+
+    plt.show()
+
+Text color for legend labels
+----------------------------
+
+The text color of legend labels can now be set by passing a parameter
+``labelcolor`` to `~.axes.Axes.legend`. The ``labelcolor`` keyword can be:
+
+* A single color (either a string or RGBA tuple), which adjusts the text color
+  of all the labels.
+* A list or tuple, allowing the text color of each label to be set
+  individually.
+* ``linecolor``, which sets the text color of each label to match the
+  corresponding line color.
+* ``markerfacecolor``, which sets the text color of each label to match the
+  corresponding marker face color.
+* ``markeredgecolor``,  which sets the text color of each label to match the
+  corresponding marker edge color.
+
+.. plot::
+
+    options = ['C3', 'linecolor', 'markerfacecolor', 'markeredgecolor']
+
+    fig, axs = plt.subplots(2, 2, constrained_layout=True)
+    for ax, color in zip(axs.flat, options):
+        ax.plot([1, 2, 3], marker='o',
+                color='C0', markerfacecolor='C1', markeredgecolor='C2',
+                linewidth=3, markersize=10, markeredgewidth=3,
+                label='a line')
+
+        ax.legend(labelcolor=color)
+        ax.set_title(f'labelcolor={color!r}')
+
+        ax.margins(0.1)
+
+Pcolor and Pcolormesh now accept ``shading='nearest'`` and ``'auto'``
+---------------------------------------------------------------------
+
+Previously `.axes.Axes.pcolor` and `.axes.Axes.pcolormesh` handled the
+situation where *x* and *y* have the same (respective) size as *C* by dropping
+the last row and column of *C*, and *x* and *y* are regarded as the edges of
+the remaining rows and columns in *C*. However, many users want *x* and *y*
+centered on the rows and columns of *C*.
+
+To accommodate this, ``shading='nearest'`` and ``shading='auto'`` are new
+allowed strings for the *shading* keyword argument. ``'nearest'`` will center
+the color on *x* and *y* if *x* and *y* have the same dimensions as *C*
+(otherwise an error will be thrown). ``shading='auto'`` will choose 'flat' or
+'nearest' based on the size of *X*, *Y*, *C*.
+
+If ``shading='flat'`` then *X*, and *Y* should have dimensions one larger than
+*C*. If *X* and *Y* have the same dimensions as *C*, then the previous behavior
+is used and the last row and column of *C* are dropped, and a
+DeprecationWarning is emitted.
+
+Users can also specify this by the new :rc:`pcolor.shading` in their
+``.matplotlibrc`` or via `.rcParams`.
+
+See :doc:`pcolormesh </gallery/images_contours_and_fields/pcolormesh_grids>`
+for examples.
+
+
+Titles, ticks, and labels
+=========================
+
+Align labels to Axes edges
+--------------------------
+
+`~.axes.Axes.set_xlabel`, `~.axes.Axes.set_ylabel` and
+``ColorbarBase.set_label`` support a parameter ``loc`` for simplified
+positioning. For the xlabel, the supported values are 'left', 'center', or
+'right'. For the ylabel, the supported values are 'bottom', 'center', or
+'top'.
+
+The default is controlled via :rc:`xaxis.labellocation` and
+:rc:`yaxis.labellocation`; the Colorbar label takes the rcParam based on its
+orientation.
+
+.. plot::
+
+    options = ['left', 'center', 'right']
+    fig, axs = plt.subplots(len(options), 1, constrained_layout=True)
+    for ax, loc in zip(axs, options):
+        ax.plot([1, 2, 3])
+        ax.set_xlabel(f'xlabel loc={loc!r}', loc=loc)
+
+    options = ['bottom', 'center', 'top']
+    fig, axs = plt.subplots(1, len(options), constrained_layout=True)
+    for ax, loc in zip(axs, options):
+        ax.plot([1, 2, 3])
+        ax.set_ylabel(f'ylabel loc={loc!r}', loc=loc)
+
+Allow tick formatters to be set with str or function inputs
+-----------------------------------------------------------
+
+`~.Axis.set_major_formatter` and `~.Axis.set_minor_formatter`
+now accept `str` or function inputs in addition to `~.ticker.Formatter`
+instances. For a `str` a `~.ticker.StrMethodFormatter` is automatically
+generated and used. For a function a `~.ticker.FuncFormatter` is automatically
+generated and used. In other words,
+::
+
+    ax.xaxis.set_major_formatter('{x} km')
+    ax.xaxis.set_minor_formatter(lambda x, pos: str(x-5))
+
+are shortcuts for::
+
+    import matplotlib.ticker as mticker
+
+    ax.xaxis.set_major_formatter(mticker.StrMethodFormatter('{x} km'))
+    ax.xaxis.set_minor_formatter(
+        mticker.FuncFormatter(lambda x, pos: str(x-5))
+
+.. plot::
+
+    from matplotlib import ticker
+
+    titles = ["'{x} km'", "lambda x, pos: str(x-5)"]
+    formatters = ['{x} km', lambda x, pos: str(x-5)]
+
+    fig, axs = plt.subplots(2, 1, figsize=(8, 2), constrained_layout=True)
+
+    for ax, title, formatter in zip(axs, titles, formatters):
+        # only show the bottom spine
+        ax.yaxis.set_major_locator(ticker.NullLocator())
+        for spine in ['top', 'left', 'right']:
+            ax.spines[spine].set_visible(False)
+
+        # define tick positions
+        ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
+        ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
+
+        ax.tick_params(which='major', width=1.00, length=5)
+        ax.tick_params(which='minor', width=0.75, length=2.5, labelsize=10)
+        ax.set_xlim(0, 5)
+        ax.set_ylim(0, 1)
+        ax.text(0.0, 0.2, f'ax.xaxis.set_major_formatter({title})',
+                transform=ax.transAxes, fontsize=14, fontname='Monospace',
+                color='tab:blue')
+
+        ax.xaxis.set_major_formatter(formatter)
+
+``Axes.set_title`` gains a *y* keyword argument to control auto positioning
+---------------------------------------------------------------------------
+
+`~.axes.Axes.set_title` tries to auto-position the title to avoid any
+decorators on the top x-axis. This is not always desirable so now *y* is an
+explicit keyword argument of `~.axes.Axes.set_title`. It defaults to *None*
+which means to use auto-positioning. If a value is supplied (i.e. the pre-3.0
+default was ``y=1.0``) then auto-positioning is turned off. This can also be
+set with the new rcParameter :rc:`axes.titley`.
+
+.. plot::
+
+    fig, axs = plt.subplots(1, 2, constrained_layout=True, figsize=(5, 2))
+    axs[0].set_title('y=0.7\n$\\sum_{j_n} x_j$', y=0.7)
+    axs[1].set_title('y=None\n$\\sum_{j_n} x_j$')
+    plt.show()
+
+Offset text is now set to the top when using ``axis.tick_top()``
+----------------------------------------------------------------
+
+Solves the issue that the power indicator (e.g., 1e4) stayed on the bottom,
+even if the ticks were on the top.
+
+Set zorder of contour labels
+----------------------------
+
+`~.axes.Axes.clabel` now accepts a *zorder* keyword argument making it easier
+to set the *zorder* of contour labels. If not specified, the default *zorder*
+of clabels used to always be 3 (i.e. the default *zorder* of `~.text.Text`)
+irrespective of the *zorder* passed to
+`~.axes.Axes.contour`/`~.axes.Axes.contourf`. The new default *zorder* for
+clabels has been changed to (``2 + zorder`` passed to `~.axes.Axes.contour` /
+`~.axes.Axes.contourf`).
+
+
+Other changes
+=============
+
+New ``Axes.axline`` method
+--------------------------
+
+A new `~.axes.Axes.axline` method has been added to draw infinitely long lines
+that pass through two points.
+
+.. plot::
+   :include-source: True
+
+   fig, ax = plt.subplots()
+
+   ax.axline((.1, .1), slope=5, color='C0', label='by slope')
+   ax.axline((.1, .2), (.8, .7), color='C3', label='by points')
+
+   ax.legend()
+
+``imshow`` now coerces 3D arrays with depth 1 to 2D
+---------------------------------------------------
+
+Starting from this version arrays of size MxNx1 will be coerced into MxN
+for displaying. This means commands like ``plt.imshow(np.random.rand(3, 3, 1))``
+will no longer return an error message that the image shape is invalid.
+
+Better control of ``Axes.pie`` normalization
+--------------------------------------------
+
+Previously, `.Axes.pie` would normalize its input *x* if ``sum(x) > 1``, but
+would do nothing if the sum were less than 1. This can be confusing, so an
+explicit keyword argument *normalize* has been added. By default, the old
+behavior is preserved.
+
+By passing *normalize*, one can explicitly control whether any rescaling takes
+place or whether partial pies should be created. If normalization is disabled,
+and ``sum(x) > 1``, then an error is raised.
+
+.. plot::
+
+    def label(x):
+        return [str(v) for v in x]
+
+    x = np.array([0.25, 0.3, 0.3])
+    fig, ax = plt.subplots(2, 2, constrained_layout=True)
+
+    ax[0, 0].pie(x, autopct='%1.1f%%', labels=label(x), normalize=False)
+    ax[0, 0].set_title('normalize=False')
+    ax[0, 1].pie(x, autopct='%1.2f%%', labels=label(x), normalize=True)
+    ax[0, 1].set_title('normalize=True')
+
+    # This is supposed to show the 'old' behavior of not passing *normalize*
+    # explicitly, but for the purposes of keeping the documentation build
+    # warning-free, and future proof for when the deprecation is made
+    # permanent, we pass *normalize* here explicitly anyway.
+    ax[1, 0].pie(x, autopct='%1.2f%%', labels=label(x), normalize=False)
+    ax[1, 0].set_title('normalize unspecified\nsum(x) < 1')
+    ax[1, 1].pie(x * 10, autopct='%1.2f%%', labels=label(x * 10),
+                 normalize=True)
+    ax[1, 1].set_title('normalize unspecified\nsum(x) > 1')
+
+Dates use a modern epoch
+------------------------
+
+Matplotlib converts dates to days since an epoch using `.dates.date2num` (via
+`matplotlib.units`). Previously, an epoch of ``0000-12-31T00:00:00`` was used
+so that ``0001-01-01`` was converted to 1.0. An epoch so distant in the past
+meant that a modern date was not able to preserve microseconds because 2000
+years times the 2^(-52) resolution of a 64-bit float gives 14 microseconds.
+
+Here we change the default epoch to the more reasonable UNIX default of
+``1970-01-01T00:00:00`` which for a modern date has 0.35 microsecond
+resolution.  (Finer resolution is not possible because we rely on
+`datetime.datetime` for the date locators). Access to the epoch is provided by
+`~.dates.get_epoch`, and there is a new :rc:`date.epoch` rcParam. The user may
+also call `~.dates.set_epoch`, but it must be set *before* any date conversion
+or plotting is used.
+
+If you have data stored as ordinal floats in the old epoch, you can convert
+them to the new ordinal using the following formula::
+
+    new_ordinal = old_ordinal + mdates.date2num(np.datetime64('0000-12-31'))
+
+Lines now accept ``MarkerStyle`` instances as input
+---------------------------------------------------
+
+Similar to `~.Axes.scatter`, `~.Axes.plot` and `~.lines.Line2D` now accept
+`~.markers.MarkerStyle` instances as input for the *marker* parameter::
+
+    plt.plot(..., marker=matplotlib.markers.MarkerStyle("D"))
+
+
+Fonts
+=====
+
+Simple syntax to select fonts by absolute path
+----------------------------------------------
+
+Fonts can now be selected by passing an absolute `pathlib.Path` to the *font*
+keyword argument of `.Text`.
+
+Improved font weight detection
+------------------------------
+
+Matplotlib is now better able to determine the weight of fonts from their
+metadata, allowing to differentiate between fonts within the same family more
+accurately.
+
+
+rcParams improvements
+=====================
+
+``matplotlib.rc_context`` can be used as a decorator
+----------------------------------------------------
+
+`matplotlib.rc_context` can now be used as a decorator (technically, it is now
+implemented as a `contextlib.contextmanager`), e.g., ::
+
+    @rc_context({"lines.linewidth": 2})
+    def some_function(...):
+        ...
+
+rcParams for controlling default "raise window" behavior
+--------------------------------------------------------
+
+The new config option :rc:`figure.raise_window` allows disabling of the raising
+of the plot window when calling `~.pyplot.show` or `~.pyplot.pause`. The
+``MacOSX`` backend is currently not supported.
+
+Add generalized ``mathtext.fallback`` to rcParams
+-------------------------------------------------
+
+New  :rc:`mathtext.fallback` rcParam. Takes "cm", "stix", "stixsans"
+or "none" to turn fallback off. The rcParam *mathtext.fallback_to_cm* is
+deprecated, but if used, will override new fallback.
+
+Add ``contour.linewidth`` to rcParams
+-------------------------------------
+
+The new config option :rc:`contour.linewidth` allows to control the default
+line width of contours as a float. When set to ``None``, the line widths fall
+back to :rc:`lines.linewidth`. The config value is overridden as usual by the
+*linewidths* argument passed to `~.axes.Axes.contour` when it is not set to
+``None``.
+
+
+3D Axes improvements
+====================
+
+``Axes3D`` no longer distorts the 3D plot to match the 2D aspect ratio
+----------------------------------------------------------------------
+
+Plots made with :class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` were previously
+stretched to fit a square bounding box. As this stretching was done after the
+projection from 3D to 2D, it resulted in distorted images if non-square
+bounding boxes were used. As of 3.3, this no longer occurs.
+
+Currently, modes of setting the aspect (via
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.set_aspect`) in data space are not
+supported for Axes3D but may be in the future. If you want to simulate having
+equal aspect in data space, set the ratio of your data limits to match the
+value of `~.get_box_aspect`. To control these ratios use the
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.set_box_aspect` method which accepts the
+ratios as a 3-tuple of X:Y:Z. The default aspect ratio is 4:4:3.
+
+3D axes now support minor ticks
+-------------------------------
+
+.. plot::
+    :include-source: True
+
+    ax = plt.figure().add_subplot(projection='3d')
+
+    ax.scatter([0, 1, 2], [1, 3, 5], [30, 50, 70])
+
+    ax.set_xticks([0.25, 0.75, 1.25, 1.75], minor=True)
+    ax.set_xticklabels(['a', 'b', 'c', 'd'], minor=True)
+
+    ax.set_yticks([1.5, 2.5, 3.5, 4.5], minor=True)
+    ax.set_yticklabels(['A', 'B', 'C', 'D'], minor=True)
+
+    ax.set_zticks([35, 45, 55, 65], minor=True)
+    ax.set_zticklabels([r'$\alpha$', r'$\beta$', r'$\delta$', r'$\gamma$'],
+                       minor=True)
+
+    ax.tick_params(which='major', color='C0', labelcolor='C0', width=5)
+    ax.tick_params(which='minor', color='C1', labelcolor='C1', width=3)
+
+Home/Forward/Backward buttons now work with 3D axes
+---------------------------------------------------
+
+
+Interactive tool improvements
+=============================
+
+More consistent toolbar behavior across backends
+------------------------------------------------
+
+Toolbar features are now more consistent across backends. The history buttons
+will auto-disable when there is no further action in a direction. The pan and
+zoom buttons will be marked active when they are in use.
+
+In NbAgg and WebAgg, the toolbar buttons are now grouped similarly to other
+backends. The WebAgg toolbar now uses the same icons as other backends.
+
+Toolbar icons are now styled for dark themes
+--------------------------------------------
+
+On dark themes, toolbar icons will now be inverted. When using the GTK3Agg
+backend, toolbar icons are now symbolic, and both foreground and background
+colors will follow the theme. Tooltips should also behave correctly.
+
+Cursor text now uses a number of significant digits matching pointing precision
+-------------------------------------------------------------------------------
+
+Previously, the x/y position displayed by the cursor text would usually include
+far more significant digits than the mouse pointing precision (typically one
+pixel). This is now fixed for linear scales.
+
+GTK / Qt zoom rectangle now black and white
+-------------------------------------------
+
+This makes it visible even over a dark background.
+
+Event handler simplifications
+-----------------------------
+
+The `.backend_bases.key_press_handler` and
+`.backend_bases.button_press_handler` event handlers can now be directly
+connected to a canvas with ``canvas.mpl_connect("key_press_event",
+key_press_handler)`` and ``canvas.mpl_connect("button_press_event",
+button_press_handler)``, rather than having to write wrapper functions that
+fill in the (now optional) *canvas* and *toolbar* parameters.
+
+
+Functions to compute a Path's size
+==================================
+
+Various functions were added to `~.bezier.BezierSegment` and `~.path.Path` to
+allow computation of the shape/size of a `~.path.Path` and its composite Bezier
+curves.
+
+In addition to the fixes below, `~.bezier.BezierSegment` has gained more
+documentation and usability improvements, including properties that contain its
+dimension, degree, control_points, and more.
+
+Better interface for Path segment iteration
+-------------------------------------------
+
+`~.path.Path.iter_bezier` iterates through the `~.bezier.BezierSegment`'s that
+make up the Path. This is much more useful typically than the existing
+`~.path.Path.iter_segments` function, which returns the absolute minimum amount
+of information possible to reconstruct the Path.
+
+Fixed bug that computed a Path's Bbox incorrectly
+-------------------------------------------------
+
+Historically, `~.path.Path.get_extents` has always simply returned the Bbox of
+a curve's control points, instead of the Bbox of the curve itself. While this is
+a correct upper bound for the path's extents, it can differ dramatically from
+the Path's actual extents for non-linear Bezier curves.
+
+
+Backend-specific improvements
+=============================
+
+``savefig()`` gained a *backend* keyword argument
+-------------------------------------------------
+
+The *backend* keyword argument to ``savefig`` can now be used to pick the
+rendering backend without having to globally set the backend; e.g., one can
+save PDFs using the pgf backend with ``savefig("file.pdf", backend="pgf")``.
+
+The SVG backend can now render hatches with transparency
+--------------------------------------------------------
+
+The SVG backend now respects the hatch stroke alpha. Useful applications are,
+among others, semi-transparent hatches as a subtle way to differentiate columns
+in bar plots.
+
+SVG supports URLs on more artists
+---------------------------------
+
+URLs on more artists (i.e., from `.Artist.set_url`) will now be saved in
+SVG files, namely, ``Tick``\s and ``Line2D``\s are now supported.
+
+Images in SVG will no longer be blurred in some viewers
+-------------------------------------------------------
+
+A style is now supplied to images without interpolation (``imshow(...,
+interpolation='none'``) so that SVG image viewers will no longer perform
+interpolation when rendering themselves.
+
+Saving SVG now supports adding metadata
+---------------------------------------
+
+When saving SVG files, metadata can now be passed which will be saved in the
+file using `Dublin Core`_ and `RDF`_. A list of valid metadata can be found in
+the documentation for `.FigureCanvasSVG.print_svg`.
+
+.. _Dublin Core: https://www.dublincore.org/specifications/dublin-core/
+.. _RDF: https://www.w3.org/1999/.status/PR-rdf-syntax-19990105/status
+
+Saving PDF metadata via PGF now consistent with PDF backend
+-----------------------------------------------------------
+
+When saving PDF files using the PGF backend, passed metadata will be
+interpreted in the same way as with the PDF backend.  Previously, this metadata
+was only accepted by the PGF backend when saving a multi-page PDF with
+`.backend_pgf.PdfPages`, but is now allowed when saving a single figure, as
+well.
+
+NbAgg and WebAgg no longer use jQuery & jQuery UI
+-------------------------------------------------
+
+Instead, they are implemented using vanilla JavaScript. Please report any
+issues with browsers.
diff --git a/doc/users/prev_whats_new/whats_new_3.4.0.rst b/doc/users/prev_whats_new/whats_new_3.4.0.rst
new file mode 100644
index 000000000000..003cd85fa49d
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.4.0.rst
@@ -0,0 +1,1039 @@
+.. _whats-new-3-4-0:
+
+=============================================
+What's new in Matplotlib 3.4.0 (Mar 26, 2021)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Figure and Axes creation / management
+=====================================
+
+New subfigure functionality
+---------------------------
+
+New `.figure.Figure.add_subfigure` and `.figure.Figure.subfigures`
+functionalities allow creating virtual figures within figures. Similar nesting
+was previously done with nested gridspecs (see
+:doc:`/gallery/subplots_axes_and_figures/gridspec_nested`). However, this did
+not allow localized figure artists (e.g., a colorbar or suptitle) that only
+pertained to each subgridspec.
+
+The new methods `.figure.Figure.add_subfigure` and `.figure.Figure.subfigures`
+are meant to rhyme with `.figure.Figure.add_subplot` and
+`.figure.Figure.subplots` and have most of the same arguments.
+
+See :doc:`/gallery/subplots_axes_and_figures/subfigures` for further details.
+
+.. note::
+
+  The subfigure functionality is experimental API as of v3.4.
+
+.. plot::
+
+    def example_plot(ax, fontsize=12, hide_labels=False):
+        pc = ax.pcolormesh(np.random.randn(30, 30))
+        if not hide_labels:
+            ax.set_xlabel('x-label', fontsize=fontsize)
+            ax.set_ylabel('y-label', fontsize=fontsize)
+            ax.set_title('Title', fontsize=fontsize)
+        return pc
+
+    np.random.seed(19680808)
+    fig = plt.figure(constrained_layout=True, figsize=(10, 4))
+    subfigs = fig.subfigures(1, 2, wspace=0.07)
+
+    axsLeft = subfigs[0].subplots(1, 2, sharey=True)
+    subfigs[0].set_facecolor('#eee')
+    for ax in axsLeft:
+        pc = example_plot(ax)
+    subfigs[0].suptitle('Left plots', fontsize='x-large')
+    subfigs[0].colorbar(pc, shrink=0.6, ax=axsLeft, location='bottom')
+
+    axsRight = subfigs[1].subplots(3, 1, sharex=True)
+    for nn, ax in enumerate(axsRight):
+        pc = example_plot(ax, hide_labels=True)
+        if nn == 2:
+            ax.set_xlabel('xlabel')
+        if nn == 1:
+            ax.set_ylabel('ylabel')
+    subfigs[1].colorbar(pc, shrink=0.6, ax=axsRight)
+    subfigs[1].suptitle('Right plots', fontsize='x-large')
+
+    fig.suptitle('Figure suptitle', fontsize='xx-large')
+
+    plt.show()
+
+Single-line string notation for ``subplot_mosaic``
+--------------------------------------------------
+
+`.Figure.subplot_mosaic` and `.pyplot.subplot_mosaic` now accept a single-line
+string, using semicolons to delimit rows. Namely, ::
+
+    plt.subplot_mosaic(
+        """
+        AB
+        CC
+        """)
+
+may be written as the shorter:
+
+.. plot::
+    :include-source:
+
+    plt.subplot_mosaic("AB;CC")
+
+Changes to behavior of Axes creation methods (``gca``, ``add_axes``, ``add_subplot``)
+-------------------------------------------------------------------------------------
+
+The behavior of the functions to create new Axes (`.pyplot.axes`,
+`.pyplot.subplot`, `.figure.Figure.add_axes`, `.figure.Figure.add_subplot`) has
+changed. In the past, these functions would detect if you were attempting to
+create Axes with the same keyword arguments as already-existing Axes in the
+current Figure, and if so, they would return the existing Axes. Now,
+`.pyplot.axes`, `.figure.Figure.add_axes`, and `.figure.Figure.add_subplot`
+will always create new Axes. `.pyplot.subplot` will continue to reuse an
+existing Axes with a matching subplot spec and equal *kwargs*.
+
+Correspondingly, the behavior of the functions to get the current Axes
+(`.pyplot.gca`, `.figure.Figure.gca`) has changed. In the past, these functions
+accepted keyword arguments. If the keyword arguments matched an
+already-existing Axes, then that Axes would be returned, otherwise new Axes
+would be created with those keyword arguments. Now, the keyword arguments are
+only considered if there are no Axes at all in the current figure. In a future
+release, these functions will not accept keyword arguments at all.
+
+``add_subplot``/``add_axes`` gained an *axes_class* parameter
+-------------------------------------------------------------
+
+In particular, ``mpl_toolkits`` Axes subclasses can now be idiomatically used
+using, e.g., ``fig.add_subplot(axes_class=mpl_toolkits.axislines.Axes)``
+
+Subplot and subplot2grid can now work with constrained layout
+-------------------------------------------------------------
+
+``constrained_layout`` depends on a single `.GridSpec` for each logical layout
+on a figure. Previously, `.pyplot.subplot` and `.pyplot.subplot2grid` added a
+new ``GridSpec`` each time they were called and were therefore incompatible
+with ``constrained_layout``.
+
+Now ``subplot`` attempts to reuse the ``GridSpec`` if the number of rows and
+columns is the same as the top level GridSpec already in the figure, i.e.,
+``plt.subplot(2, 1, 2)`` will use the same GridSpec as ``plt.subplot(2, 1, 1)``
+and the ``constrained_layout=True`` option to `~.figure.Figure` will work.
+
+In contrast, mixing *nrows* and *ncols* will *not* work with
+``constrained_layout``: ``plt.subplot(2, 2, 1)`` followed by ``plt.subplots(2,
+1, 2)`` will still produce two GridSpecs, and ``constrained_layout=True`` will
+give bad results. In order to get the desired effect, the second call can
+specify the cells the second Axes is meant to cover:  ``plt.subplots(2, 2, (2,
+4))``, or the more Pythonic ``plt.subplot2grid((2, 2), (0, 1), rowspan=2)`` can
+be used.
+
+
+Plotting methods
+================
+
+``axline`` supports *transform* parameter
+-----------------------------------------
+
+`~.Axes.axline` now supports the *transform* parameter, which applies to the
+points *xy1*, *xy2*. The *slope* (if given) is always in data coordinates.
+
+For example, this can be used with ``ax.transAxes`` for drawing lines with a
+fixed slope. In the following plot, the line appears through the same point on
+both Axes, even though they show different data limits.
+
+.. plot::
+    :include-source:
+
+    fig, axs = plt.subplots(1, 2)
+
+    for i, ax in enumerate(axs):
+        ax.axline((0.25, 0), slope=2, transform=ax.transAxes)
+        ax.set(xlim=(i, i+5), ylim=(i, i+5))
+
+New automatic labeling for bar charts
+-------------------------------------
+
+A new `.Axes.bar_label` method has been added for auto-labeling bar charts.
+
+.. figure:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_001.png
+   :target: ../../gallery/lines_bars_and_markers/bar_label_demo.html
+
+   Example of the new automatic labeling.
+
+A list of hatches can be specified to `~.axes.Axes.bar` and `~.axes.Axes.barh`
+------------------------------------------------------------------------------
+
+Similar to some other rectangle properties, it is now possible to hand a list
+of hatch styles to `~.axes.Axes.bar` and `~.axes.Axes.barh` in order to create
+bars with different hatch styles, e.g.
+
+.. plot::
+
+    fig, ax = plt.subplots()
+    ax.bar([1, 2], [2, 3], hatch=['+', 'o'])
+    plt.show()
+
+Setting ``BarContainer`` orientation
+------------------------------------
+
+`.BarContainer` now accepts a new string argument *orientation*. It can be
+either ``'vertical'`` or ``'horizontal'``, default is ``None``.
+
+Contour plots now default to using ScalarFormatter
+--------------------------------------------------
+
+Pass ``fmt="%1.3f"`` to the contouring call to restore the old default label
+format.
+
+``Axes.errorbar`` cycles non-color properties correctly
+-------------------------------------------------------
+
+Formerly, `.Axes.errorbar` incorrectly skipped the Axes property cycle if a
+color was explicitly specified, even if the property cycler was for other
+properties (such as line style). Now, `.Axes.errorbar` will advance the Axes
+property cycle as done for `.Axes.plot`, i.e., as long as all properties in the
+cycler are not explicitly passed.
+
+For example, the following will cycle through the line styles:
+
+.. plot::
+    :include-source:
+
+    x = np.arange(0.1, 4, 0.5)
+    y = np.exp(-x)
+    offsets = [0, 1]
+
+    plt.rcParams['axes.prop_cycle'] = plt.cycler('linestyle', ['-', '--'])
+
+    fig, ax = plt.subplots()
+    for offset in offsets:
+        ax.errorbar(x, y + offset, xerr=0.1, yerr=0.3, fmt='tab:blue')
+
+``errorbar`` *errorevery* parameter matches *markevery*
+-------------------------------------------------------
+
+Similar to the *markevery* parameter to `~.Axes.plot`, the *errorevery*
+parameter of `~.Axes.errorbar` now accept slices and NumPy fancy indexes (which
+must match the size of *x*).
+
+.. plot::
+
+    x = np.linspace(0, 1, 15)
+    y = x * (1-x)
+    yerr = y/6
+
+    fig, ax = plt.subplots(2, constrained_layout=True)
+    ax[0].errorbar(x, y, yerr, capsize=2)
+    ax[0].set_title('errorevery unspecified')
+
+    ax[1].errorbar(x, y, yerr, capsize=2,
+                   errorevery=[False, True, True, False, True] * 3)
+    ax[1].set_title('errorevery=[False, True, True, False, True] * 3')
+
+``hexbin`` supports data reference for *C* parameter
+----------------------------------------------------
+
+As with the *x* and *y* parameters, `.Axes.hexbin` now supports passing the *C*
+parameter using a data reference.
+
+.. plot::
+    :include-source:
+
+    data = {
+        'a': np.random.rand(1000),
+        'b': np.random.rand(1000),
+        'c': np.random.rand(1000),
+    }
+
+    fig, ax = plt.subplots()
+    ax.hexbin('a', 'b', C='c', data=data, gridsize=10)
+
+Support callable for formatting of Sankey labels
+------------------------------------------------
+
+The `format` parameter of `matplotlib.sankey.Sankey` can now accept callables.
+
+This allows the use of an arbitrary function to label flows, for example
+allowing the mapping of numbers to emoji.
+
+.. plot::
+
+    from matplotlib.sankey import Sankey
+    import math
+
+
+    def display_in_cats(values, min_cats, max_cats):
+        def display_in_cat_scale(value):
+            max_value = max(values, key=abs)
+            number_cats_to_show = \
+                max(min_cats, math.floor(abs(value) / max_value * max_cats))
+            return str(number_cats_to_show * '�')
+
+        return display_in_cat_scale
+
+
+    flows = [35, 15, 40, -20, -15, -5, -40, -10]
+    orientations = [-1, 1, 0, 1, 1, 1, -1, -1]
+
+    # Cats are good, we want a strictly positive number of them
+    min_cats = 1
+    # More than four cats might be too much for some people
+    max_cats = 4
+
+    cats_format = display_in_cats(flows, min_cats, max_cats)
+
+    sankey = Sankey(flows=flows, orientations=orientations, format=cats_format,
+                    offset=.1, head_angle=180, shoulder=0, scale=.010)
+
+    diagrams = sankey.finish()
+
+    diagrams[0].texts[2].set_text('')
+
+    plt.title(f'Sankey flows measured in cats \n'
+              f'� = {max(flows, key=abs) / max_cats}')
+
+    plt.show()
+
+``Axes.spines`` access shortcuts
+--------------------------------
+
+``Axes.spines`` is now a dedicated container class `.Spines` for a set of
+`.Spine`\s instead of an ``OrderedDict``. On top of dict-like access,
+``Axes.spines`` now also supports some ``pandas.Series``-like features.
+
+Accessing single elements by item or by attribute::
+
+    ax.spines['top'].set_visible(False)
+    ax.spines.top.set_visible(False)
+
+Accessing a subset of items::
+
+    ax.spines[['top', 'right']].set_visible(False)
+
+Accessing all items simultaneously::
+
+    ax.spines[:].set_visible(False)
+
+New ``stairs`` method and ``StepPatch`` artist
+----------------------------------------------
+
+`.pyplot.stairs` and the underlying artist `~.matplotlib.patches.StepPatch`
+provide a cleaner interface for plotting stepwise constant functions for the
+common case that you know the step edges. This supersedes many use cases of
+`.pyplot.step`, for instance when plotting the output of `numpy.histogram`.
+
+For both the artist and the function, the x-like edges input is one element
+longer than the y-like values input
+
+.. plot::
+
+    np.random.seed(0)
+    h, edges = np.histogram(np.random.normal(5, 2, 5000),
+                            bins=np.linspace(0,10,20))
+
+    fig, ax = plt.subplots(constrained_layout=True)
+
+    ax.stairs(h, edges)
+
+    plt.show()
+
+See :doc:`/gallery/lines_bars_and_markers/stairs_demo` for examples.
+
+Added *orientation* parameter for stem plots
+--------------------------------------------
+
+By default, stem lines are vertical. They can be changed to horizontal using
+the *orientation* parameter of `.Axes.stem` or `.pyplot.stem`:
+
+.. plot::
+
+    locs = np.linspace(0.1, 2 * np.pi, 25)
+    heads = np.cos(locs)
+
+    fig, ax = plt.subplots()
+    ax.stem(locs, heads, orientation='horizontal')
+
+Angles on Bracket arrow styles
+------------------------------
+
+Angles specified on the *Bracket* arrow styles (``]-[``, ``]-``, ``-[``, or
+``|-|`` passed to *arrowstyle* parameter of `.FancyArrowPatch`) are now
+applied. Previously, the *angleA* and *angleB* options were allowed, but did
+nothing.
+
+.. plot::
+
+    import matplotlib.patches as mpatches
+
+    fig, ax = plt.subplots()
+    ax.set(xlim=(0, 1), ylim=(-1, 4))
+
+    for i, stylename in enumerate((']-[', '|-|')):
+        for j, angle in enumerate([-30, 60]):
+            arrowstyle = f'{stylename},angleA={angle},angleB={-angle}'
+            patch = mpatches.FancyArrowPatch((0.1, 2*i + j), (0.9, 2*i + j),
+                                             arrowstyle=arrowstyle,
+                                             mutation_scale=25)
+            ax.text(0.5, 2*i + j, arrowstyle,
+                    verticalalignment='bottom', horizontalalignment='center')
+            ax.add_patch(patch)
+
+``TickedStroke`` patheffect
+---------------------------
+
+The new `.TickedStroke` patheffect can be used to produce lines with a ticked
+style. This can be used to, e.g., distinguish the valid and invalid sides of
+the constraint boundaries in the solution space of optimizations.
+
+.. figure:: /gallery/misc/images/sphx_glr_tickedstroke_demo_002.png
+   :target: ../../gallery/misc/tickedstroke_demo.html
+
+
+Colors and colormaps
+====================
+
+Collection color specification and mapping
+------------------------------------------
+
+Reworking the handling of color mapping and the keyword arguments for
+*facecolor* and *edgecolor* has resulted in three behavior changes:
+
+1. Color mapping can be turned off by calling ``Collection.set_array(None)``.
+   Previously, this would have no effect.
+2. When a mappable array is set, with ``facecolor='none'`` and
+   ``edgecolor='face'``, both the faces and the edges are left uncolored.
+   Previously the edges would be color-mapped.
+3. When a mappable array is set, with ``facecolor='none'`` and
+   ``edgecolor='red'``, the edges are red. This addresses Issue #1302.
+   Previously the edges would be color-mapped.
+
+Transparency (alpha) can be set as an array in collections
+----------------------------------------------------------
+
+Previously, the alpha value controlling transparency in collections could be
+specified only as a scalar applied to all elements in the collection. For
+example, all the markers in a `~.Axes.scatter` plot, or all the quadrilaterals
+in a `~.Axes.pcolormesh` plot, would have the same alpha value.
+
+Now it is possible to supply alpha as an array with one value for each element
+(marker, quadrilateral, etc.) in a collection.
+
+.. plot::
+
+    x = np.arange(5, dtype=float)
+    y = np.arange(5, dtype=float)
+    # z and zalpha for demo pcolormesh
+    z = x[1:, np.newaxis] + y[np.newaxis, 1:]
+    zalpha = np.ones_like(z)
+    zalpha[::2, ::2] = 0.3  # alternate patches are partly transparent
+    # s and salpha for demo scatter
+    s = x
+    salpha = np.linspace(0.1, 0.9, len(x))  # just a ramp
+
+    fig, axs = plt.subplots(2, 2, constrained_layout=True)
+    axs[0, 0].pcolormesh(x, y, z, alpha=zalpha)
+    axs[0, 0].set_title("pcolormesh")
+    axs[0, 1].scatter(x, y, c=s, alpha=salpha)
+    axs[0, 1].set_title("color-mapped")
+    axs[1, 0].scatter(x, y, c='k', alpha=salpha)
+    axs[1, 0].set_title("c='k'")
+    axs[1, 1].scatter(x, y, c=['r', 'g', 'b', 'c', 'm'], alpha=salpha)
+    axs[1, 1].set_title("c=['r', 'g', 'b', 'c', 'm']")
+
+pcolormesh has improved transparency handling by enabling snapping
+------------------------------------------------------------------
+
+Due to how the snapping keyword argument was getting passed to the Agg backend,
+previous versions of Matplotlib would appear to show lines between the grid
+edges of a mesh with transparency. This version now applies snapping by
+default. To restore the old behavior (e.g., for test images), you may set
+:rc:`pcolormesh.snap` to `False`.
+
+.. plot::
+
+    # Use old pcolormesh snapping values
+    plt.rcParams['pcolormesh.snap'] = False
+    fig, ax = plt.subplots()
+    xx, yy = np.meshgrid(np.arange(10), np.arange(10))
+    z = (xx + 1) * (yy + 1)
+    mesh = ax.pcolormesh(xx, yy, z, shading='auto', alpha=0.5)
+    fig.colorbar(mesh, orientation='vertical')
+    ax.set_title('Before (pcolormesh.snap = False)')
+
+Note that there are lines between the grid boundaries of the main plot which
+are not the same transparency. The colorbar also shows these lines when a
+transparency is added to the colormap because internally it uses pcolormesh to
+draw the colorbar. With snapping on by default (below), the lines at the grid
+boundaries disappear.
+
+.. plot::
+
+    fig, ax = plt.subplots()
+    xx, yy = np.meshgrid(np.arange(10), np.arange(10))
+    z = (xx + 1) * (yy + 1)
+    mesh = ax.pcolormesh(xx, yy, z, shading='auto', alpha=0.5)
+    fig.colorbar(mesh, orientation='vertical')
+    ax.set_title('After (default: pcolormesh.snap = True)')
+
+IPython representations for Colormap objects
+--------------------------------------------
+
+The `matplotlib.colors.Colormap` object now has image representations for
+IPython / Jupyter backends. Cells returning a colormap on the last line will
+display an image of the colormap.
+
+.. only:: html
+
+    .. code-block:: ipython
+
+        In[1]: cmap = plt.get_cmap('viridis').with_extremes(bad='r', under='g', over='b')
+
+        In[2]: cmap
+        Out[2]:
+
+.. raw:: html
+
+    <div style="vertical-align: middle;">
+        <strong>viridis</strong>
+    </div>
+    <div class="cmap">
+        <img alt="viridis colormap" title="viridis" style="border: 1px solid #555;" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgAAAABACAYAAABsv8+/AAAAFnRFWHRUaXRsZQB2aXJpZGlzIGNvbG9ybWFwrE0mCwAAABx0RVh0RGVzY3JpcHRpb24AdmlyaWRpcyBjb2xvcm1hcAtjl3IAAABKdEVYdEF1dGhvcgBNYXRwbG90bGliIHYzLjQuMHJjMy5wb3N0OS5kZXYwK2czZTQzMThmMjgwLCBodHRwczovL21hdHBsb3RsaWIub3JndvlliwAAAEx0RVh0U29mdHdhcmUATWF0cGxvdGxpYiB2My40LjByYzMucG9zdDkuZGV2MCtnM2U0MzE4ZjI4MCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZ9pNs1oAAAIiSURBVHic7dZBkpswFEXRL9halpD9LyX0IDIUAhnHldk7Z+KS9BFUD7pu+9V+b1VV1Vr9/V36z3ldfd1ec0vfH9bH+f3z43su987uv9x7/7s9nM+e3/bz+vK8Tvfv863u54b7xvnrerx/dm8Nzw33LA/nl+ffv+d5/en99+tv3/O/73+cq/dzn+9v3z1fT/PbV98xnh9zk/P9O2bPv99vk7l2WQ/P1Tg3/Fubrh/2+73LZX7r+zWsx/P7e2Zz+289nA9zS/vz4dx5fv3n8/N71rp/77i/vp6rh/XrvcP7ruv77zjuPX//MX++7zo/vG+2P3zH7HvXGv8u57/netmvvl/n9b7fhv2+7vv7uk8c80v/7XNtOd0DAAQRAAAQSAAAQCABAACBBAAABBIAABBIAABAIAEAAIEEAAAEEgAAEEgAAEAgAQAAgQQAAAQSAAAQSAAAQCABAACBBAAABBIAABBIAABAIAEAAIEEAAAEEgAAEEgAAEAgAQAAgQQAAAQSAAAQSAAAQCABAACBBAAABBIAABBIAABAIAEAAIEEAAAEEgAAEEgAAEAgAQAAgQQAAAQSAAAQSAAAQCABAACBBAAABBIAABBIAABAIAEAAIEEAAAEEgAAEEgAAEAgAQAAgQQAAAQSAAAQSAAAQCABAACBBAAABBIAABBIAABAIAEAAIEEAAAEEgAAEEgAAEAgAQAAgQQAAAQSAAAQSAAAQKAfbnCJh8XCmbQAAAAASUVORK5CYII=">
+    </div>
+    <div style="vertical-align: middle; max-width: 514px; display: flex; justify-content: space-between;">
+        <div style="float: left;">
+            <div title="#008000ff" style="display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #008000ff;"></div>
+            under
+        </div>
+        <div style="margin: 0 auto; display: inline-block;">
+            bad
+            <div title="#ff0000ff" style="display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #ff0000ff;"></div>
+        </div>
+        <div style="float: right;">
+            over
+            <div title="#0000ffff" style="display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #0000ffff;"></div>
+    </div>
+
+``Colormap.set_extremes`` and ``Colormap.with_extremes``
+--------------------------------------------------------
+
+Because the `.Colormap.set_bad`, `.Colormap.set_under` and `.Colormap.set_over`
+methods modify the colormap in place, the user must be careful to first make a
+copy of the colormap if setting the extreme colors e.g. for a builtin colormap.
+
+The new ``Colormap.with_extremes(bad=..., under=..., over=...)`` can be used to
+first copy the colormap and set the extreme colors on that copy.
+
+The new `.Colormap.set_extremes` method is provided for API symmetry with
+`.Colormap.with_extremes`, but note that it suffers from the same issue as the
+earlier individual setters.
+
+Get under/over/bad colors of Colormap objects
+---------------------------------------------
+
+`matplotlib.colors.Colormap` now has methods `~.colors.Colormap.get_under`,
+`~.colors.Colormap.get_over`, `~.colors.Colormap.get_bad` for the colors used
+for out-of-range and masked values.
+
+New ``cm.unregister_cmap`` function
+-----------------------------------
+
+``matplotlib.cm.unregister_cmap`` allows users to remove a colormap that they have
+previously registered.
+
+New ``CenteredNorm`` for symmetrical data around a center
+---------------------------------------------------------
+
+In cases where data is symmetrical around a center, for example, positive and
+negative anomalies around a center zero, `~.matplotlib.colors.CenteredNorm` is
+a new norm that automatically creates a symmetrical mapping around the center.
+This norm is well suited to be combined with a divergent colormap which uses an
+unsaturated color in its center.
+
+.. plot::
+
+    from matplotlib.colors import CenteredNorm
+
+    np.random.seed(20201004)
+    data = np.random.normal(size=(3, 4), loc=1)
+
+    fig, ax = plt.subplots()
+    pc = ax.pcolormesh(data, cmap=plt.get_cmap('RdGy'), norm=CenteredNorm())
+    fig.colorbar(pc)
+    ax.set_title('data centered around zero')
+
+    # add text annotation
+    for irow, data_row in enumerate(data):
+        for icol, val in enumerate(data_row):
+            ax.text(icol + 0.5, irow + 0.5, f'{val:.2f}', color='C0',
+                    size=16, va='center', ha='center')
+    plt.show()
+
+If the center of symmetry is different from 0, it can be set with the *vcenter*
+argument. To manually set the range of `~.matplotlib.colors.CenteredNorm`, use
+the *halfrange* argument.
+
+See :ref:`colormapnorms` for an example and more details
+about data normalization.
+
+New ``FuncNorm`` for arbitrary normalizations
+---------------------------------------------
+
+The `.FuncNorm` allows for arbitrary normalization using functions for the
+forward and inverse.
+
+.. plot::
+
+    from matplotlib.colors import FuncNorm
+
+    def forward(x):
+        return x**2
+    def inverse(x):
+        return np.sqrt(x)
+
+    norm = FuncNorm((forward, inverse), vmin=0, vmax=3)
+
+    np.random.seed(20201004)
+    data = np.random.normal(size=(3, 4), loc=1)
+
+    fig, ax = plt.subplots()
+    pc = ax.pcolormesh(data, norm=norm)
+    fig.colorbar(pc)
+    ax.set_title('squared normalization')
+
+    # add text annotation
+    for irow, data_row in enumerate(data):
+        for icol, val in enumerate(data_row):
+            ax.text(icol + 0.5, irow + 0.5, f'{val:.2f}', color='C0',
+                    size=16, va='center', ha='center')
+    plt.show()
+
+See :ref:`colormapnorms` for an example and more details about data
+normalization.
+
+GridSpec-based colorbars can now be positioned above or to the left of the main axes
+------------------------------------------------------------------------------------
+
+... by passing ``location="top"`` or ``location="left"`` to the ``colorbar()``
+call.
+
+
+Titles, ticks, and labels
+=========================
+
+supxlabel and supylabel
+-----------------------
+
+It is possible to add x- and y-labels to a whole figure, analogous to
+`.Figure.suptitle` using the new `.Figure.supxlabel` and
+`.Figure.supylabel` methods.
+
+.. plot::
+
+    np.random.seed(19680801)
+    fig, axs = plt.subplots(3, 2, figsize=(5, 5), constrained_layout=True,
+                            sharex=True, sharey=True)
+
+    for nn, ax in enumerate(axs.flat):
+        ax.set_title(f'Channel {nn}')
+        ax.plot(np.cumsum(np.random.randn(50)))
+
+    fig.supxlabel('Time [s]')
+    fig.supylabel('Data [V]')
+
+Shared-axes ``subplots`` tick label visibility is now correct for top or left labels
+------------------------------------------------------------------------------------
+
+When calling ``subplots(..., sharex=True, sharey=True)``, Matplotlib
+automatically hides x tick labels for Axes not in the first column and y tick
+labels for Axes not in the last row. This behavior is incorrect if rcParams
+specify that Axes should be labeled on the top (``rcParams["xtick.labeltop"] =
+True``) or on the right (``rcParams["ytick.labelright"] = True``).
+
+Cases such as the following are now handled correctly (adjusting visibility as
+needed on the first row and last column of Axes):
+
+.. plot::
+    :include-source:
+
+    plt.rcParams["xtick.labelbottom"] = False
+    plt.rcParams["xtick.labeltop"] = True
+    plt.rcParams["ytick.labelleft"] = False
+    plt.rcParams["ytick.labelright"] = True
+
+    fig, axs = plt.subplots(2, 2, sharex=True, sharey=True)
+
+An iterable object with labels can be passed to `.Axes.plot`
+------------------------------------------------------------
+
+When plotting multiple datasets by passing 2D data as *y* value to
+`~.Axes.plot`, labels for the datasets can be passed as a list, the length
+matching the number of columns in *y*.
+
+.. plot::
+    :include-source:
+
+    x = [1, 2, 3]
+
+    y = [[1, 2],
+         [2, 5],
+         [4, 9]]
+
+    plt.plot(x, y, label=['low', 'high'])
+    plt.legend()
+
+
+Fonts and Text
+==============
+
+Text transform can rotate text direction
+----------------------------------------
+
+The new `.Text` parameter ``transform_rotates_text`` now sets whether rotations
+of the transform affect the text direction.
+
+.. figure:: /gallery/text_labels_and_annotations/images/sphx_glr_text_rotation_relative_to_line_001.png
+   :target: ../../gallery/text_labels_and_annotations/text_rotation_relative_to_line.html
+
+   Example of the new *transform_rotates_text* parameter
+
+``matplotlib.mathtext`` now supports *overset* and *underset* LaTeX symbols
+---------------------------------------------------------------------------
+
+`.mathtext` now supports *overset* and *underset*, called as
+``\overset{annotation}{body}`` or ``\underset{annotation}{body}``, where
+*annotation* is the text "above" or "below" the *body*.
+
+.. plot::
+
+    math_expr = r"$ x \overset{f}{\rightarrow} y \underset{f}{\leftarrow} z $"
+    plt.text(0.4, 0.5, math_expr, usetex=False)
+
+*math_fontfamily* parameter to change ``Text`` font family
+----------------------------------------------------------
+
+The new *math_fontfamily* parameter may be used to change the family of fonts
+for each individual text element in a plot. If no parameter is set, the global
+value :rc:`mathtext.fontset` will be used.
+
+.. figure:: /gallery/text_labels_and_annotations/images/sphx_glr_mathtext_fontfamily_example_001.png
+   :target: ../../gallery/text_labels_and_annotations/mathtext_fontfamily_example.html
+
+``TextArea``/``AnchoredText`` support *horizontalalignment*
+-----------------------------------------------------------
+
+The horizontal alignment of text in a `.TextArea` or `.AnchoredText` may now be
+specified, which is mostly effective for multiline text:
+
+.. plot::
+
+    from matplotlib.offsetbox import AnchoredText
+
+    fig, ax = plt.subplots()
+
+    text0 = AnchoredText("test\ntest long text", loc="center left",
+                         pad=0.2, prop={"ha": "left"})
+    ax.add_artist(text0)
+
+    text1 = AnchoredText("test\ntest long text", loc="center",
+                         pad=0.2, prop={"ha": "center"})
+    ax.add_artist(text1)
+
+    text2 = AnchoredText("test\ntest long text", loc="center right",
+                         pad=0.2, prop={"ha": "right"})
+    ax.add_artist(text2)
+
+PDF supports URLs on ``Text`` artists
+-------------------------------------
+
+URLs on `.text.Text` artists (i.e., from `.Artist.set_url`) will now be saved
+in PDF files.
+
+
+rcParams improvements
+=====================
+
+New rcParams for dates: set converter and whether to use interval_multiples
+---------------------------------------------------------------------------
+
+The new :rc:`date.converter` allows toggling between
+`matplotlib.dates.DateConverter` and `matplotlib.dates.ConciseDateConverter`
+using the strings 'auto' and 'concise' respectively.
+
+The new :rc:`date.interval_multiples` allows toggling between the dates locator
+trying to pick ticks at set intervals (i.e., day 1 and 15 of the month), versus
+evenly spaced ticks that start wherever the timeseries starts:
+
+.. plot::
+    :include-source:
+
+    dates = np.arange('2001-01-10', '2001-05-23', dtype='datetime64[D]')
+    y = np.sin(dates.astype(float) / 10)
+    fig, axs = plt.subplots(nrows=2, constrained_layout=True)
+
+    plt.rcParams['date.converter'] = 'concise'
+    plt.rcParams['date.interval_multiples'] = True
+    axs[0].plot(dates, y)
+
+    plt.rcParams['date.converter'] = 'auto'
+    plt.rcParams['date.interval_multiples'] = False
+    axs[1].plot(dates, y)
+
+Date formatters now respect *usetex* rcParam
+--------------------------------------------
+
+The `.AutoDateFormatter` and `.ConciseDateFormatter` now respect
+:rc:`text.usetex`, and will thus use fonts consistent with TeX rendering of the
+default (non-date) formatter. TeX rendering may also be enabled/disabled by
+passing the *usetex* parameter when creating the formatter instance.
+
+In the following plot, both the x-axis (dates) and y-axis (numbers) now use the
+same (TeX) font:
+
+.. plot::
+
+    from datetime import datetime, timedelta
+    from matplotlib.dates import ConciseDateFormatter
+
+    plt.rc('text', usetex=True)
+
+    t0 = datetime(1968, 8, 1)
+    ts = [t0 + i * timedelta(days=1) for i in range(10)]
+
+    fig, ax = plt.subplots()
+    ax.plot(ts, range(10))
+    ax.xaxis.set_major_formatter(ConciseDateFormatter(ax.xaxis.get_major_locator()))
+    ax.set_xlabel('Date')
+    ax.set_ylabel('Value')
+
+Setting *image.cmap* to a ``Colormap``
+--------------------------------------
+
+It is now possible to set :rc:`image.cmap` to a `.Colormap` instance, such as a
+colormap created with the new `~.Colormap.set_extremes` above. (This can only
+be done from Python code, not from the :file:`matplotlibrc` file.)
+
+Tick and tick label colors can be set independently using rcParams
+------------------------------------------------------------------
+
+Previously, :rc:`xtick.color` defined both the tick color and the label color.
+The label color can now be set independently using :rc:`xtick.labelcolor`. It
+defaults to ``'inherit'`` which will take the value from :rc:`xtick.color`. The
+same holds for ``ytick.[label]color``. For instance, to set the ticks to light
+grey and the tick labels to black, one can use the following code in a script::
+
+    import matplotlib as mpl
+
+    mpl.rcParams['xtick.labelcolor'] = 'lightgrey'
+    mpl.rcParams['xtick.color'] = 'black'
+    mpl.rcParams['ytick.labelcolor'] = 'lightgrey'
+    mpl.rcParams['ytick.color'] = 'black'
+
+Or by adding the following lines to the :ref:`matplotlibrc
+<customizing-with-matplotlibrc-files>` file, or a Matplotlib style file:
+
+.. code-block:: none
+
+   xtick.labelcolor : lightgrey
+   xtick.color      : black
+   ytick.labelcolor : lightgrey
+   ytick.color      : black
+
+
+3D Axes improvements
+====================
+
+Errorbar method in 3D Axes
+--------------------------
+
+The errorbar function `.Axes.errorbar` is ported into the 3D Axes framework in
+its entirety, supporting features such as custom styling for error lines and
+cap marks, control over errorbar spacing, upper and lower limit marks.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_errorbar3d_001.png
+   :target: ../../gallery/mplot3d/errorbar3d.html
+
+Stem plots in 3D Axes
+---------------------
+
+Stem plots are now supported on 3D Axes. Much like 2D stems,
+`~.axes3d.Axes3D.stem` supports plotting the stems in various orientations:
+
+.. plot::
+
+    theta = np.linspace(0, 2*np.pi)
+    x = np.cos(theta - np.pi/2)
+    y = np.sin(theta - np.pi/2)
+    z = theta
+    directions = ['z', 'x', 'y']
+    names = [r'$\theta$', r'$\cos\theta$', r'$\sin\theta$']
+
+    fig, axs = plt.subplots(1, 3, figsize=(8, 4),
+                            constrained_layout=True,
+                            subplot_kw={'projection': '3d'})
+    for ax, zdir, name in zip(axs, directions, names):
+        ax.stem(x, y, z, orientation=zdir)
+        ax.set_title(name)
+    fig.suptitle(r'A parametric circle: $(x, y) = (\cos\theta, \sin\theta)$')
+
+See also the :doc:`/gallery/mplot3d/stem3d_demo` demo.
+
+3D Collection properties are now modifiable
+-------------------------------------------
+
+Previously, properties of a 3D Collection that were used for 3D effects (e.g.,
+colors were modified to produce depth shading) could not be changed after it
+was created.
+
+Now it is possible to modify all properties of 3D Collections at any time.
+
+Panning in 3D Axes
+------------------
+
+Click and drag with the middle mouse button to pan 3D Axes.
+
+
+Interactive tool improvements
+=============================
+
+New ``RangeSlider`` widget
+--------------------------
+
+`.widgets.RangeSlider` allows for creating a slider that defines
+a range rather than a single value.
+
+.. plot::
+
+    fig, ax = plt.subplots(2, 1, figsize=(5, 1))
+    fig.subplots_adjust(left=0.2, right=0.8)
+
+    from matplotlib.widgets import Slider, RangeSlider
+    Slider(ax[0], 'Slider', 0, 1)
+    RangeSlider(ax[1], 'RangeSlider', 0, 1)
+
+Sliders can now snap to arbitrary values
+----------------------------------------
+
+The `~matplotlib.widgets.Slider` UI widget now accepts arrays for *valstep*.
+This generalizes the previous behavior by allowing the slider to snap to
+arbitrary values.
+
+Pausing and Resuming Animations
+-------------------------------
+
+The `.animation.Animation.pause` and `.animation.Animation.resume` methods
+allow you to pause and resume animations. These methods can be used as
+callbacks for event listeners on UI elements so that your plots can have some
+playback control UI.
+
+
+Sphinx extensions
+=================
+
+``plot_directive`` *caption* option
+-----------------------------------
+
+Captions were previously supported when using the ``plot_directive`` directive
+with an external source file by specifying content::
+
+    .. plot:: path/to/plot.py
+
+        This is the caption for the plot.
+
+The ``:caption:`` option allows specifying the caption for both external::
+
+    .. plot:: path/to/plot.py
+        :caption: This is the caption for the plot.
+
+and inline plots::
+
+    .. plot::
+        :caption: This is a caption for the plot.
+
+        plt.plot([1, 2, 3])
+
+
+Backend-specific improvements
+=============================
+
+Consecutive rasterized draws now merged
+---------------------------------------
+
+Elements of a vector output can be individually set to rasterized, using the
+*rasterized* keyword argument, or `~.artist.Artist.set_rasterized()`. This can
+be useful to reduce file sizes. For figures with multiple raster elements they
+are now automatically merged into a smaller number of bitmaps where this will
+not effect the visual output. For cases with many elements this can result in
+significantly smaller file sizes.
+
+To ensure this happens do not place vector elements between raster ones.
+
+To inhibit this merging set ``Figure.suppressComposite`` to True.
+
+Support raw/rgba frame format in ``FFMpegFileWriter``
+-----------------------------------------------------
+
+When using `.FFMpegFileWriter`, the  *frame_format* may now be set to ``"raw"``
+or ``"rgba"``, which may be slightly faster than an image format, as no
+encoding/decoding need take place between Matplotlib and FFmpeg.
+
+nbAgg/WebAgg support middle-click and double-click
+--------------------------------------------------
+
+Double click events are now supported by the nbAgg and WebAgg backends.
+Formerly, WebAgg would report middle-click events as right clicks, but now
+reports the correct button type.
+
+nbAgg support binary communication
+----------------------------------
+
+If the web browser and notebook support binary websockets, nbAgg will now use
+them for slightly improved transfer of figure display.
+
+Indexed color for PNG images in PDF files when possible
+-------------------------------------------------------
+
+When PNG images have 256 colors or fewer, they are converted to indexed color
+before saving them in a PDF. This can result in a significant reduction in file
+size in some cases. This is particularly true for raster data that uses a
+colormap but no interpolation, such as Healpy mollview plots. Currently, this
+is only done for RGB images.
+
+Improved font subsettings in PDF/PS
+-----------------------------------
+
+Font subsetting in PDF and PostScript has been re-written from the embedded
+``ttconv`` C code to Python. Some composite characters and outlines may have
+changed slightly. This fixes ttc subsetting in PDF, and adds support for
+subsetting of type 3 OTF fonts, resulting in smaller files (much smaller when
+using CJK fonts), and avoids running into issues with type 42 embedding and
+certain PDF readers such as Acrobat Reader.
+
+Kerning added to strings in PDFs
+--------------------------------
+
+As with text produced in the Agg backend (see :ref:`the previous what's new
+entry <whats-new-3-2-0-kerning>` for examples), PDFs now include kerning in
+text strings.
+
+Fully-fractional HiDPI in QtAgg
+-------------------------------
+
+Fully-fractional HiDPI (that is, HiDPI ratios that are not whole integers) was
+added in Qt 5.14, and is now supported by the QtAgg backend when using this
+version of Qt or newer.
+
+wxAgg supports fullscreen toggle
+--------------------------------
+
+The wxAgg backend supports toggling fullscreen using the :kbd:`f` shortcut, or
+the manager function `.FigureManagerBase.full_screen_toggle`.
diff --git a/doc/users/prev_whats_new/whats_new_3.5.0.rst b/doc/users/prev_whats_new/whats_new_3.5.0.rst
new file mode 100644
index 000000000000..e67573702218
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.5.0.rst
@@ -0,0 +1,681 @@
+=============================================
+What's new in Matplotlib 3.5.0 (Nov 15, 2021)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Figure and Axes creation / management
+=====================================
+
+``subplot_mosaic`` supports simple Axes sharing
+-----------------------------------------------
+
+`.Figure.subplot_mosaic`, `.pyplot.subplot_mosaic` support *simple* Axes
+sharing (i.e., only `True`/`False` may be passed to *sharex*/*sharey*). When
+`True`, tick label visibility and Axis units will be shared.
+
+.. plot::
+    :include-source:
+
+    mosaic = [
+        ['A', [['B', 'C'],
+               ['D', 'E']]],
+        ['F', 'G'],
+    ]
+    fig = plt.figure(constrained_layout=True)
+    ax_dict = fig.subplot_mosaic(mosaic, sharex=True, sharey=True)
+    # All Axes use these scales after this call.
+    ax_dict['A'].set(xscale='log', yscale='logit')
+
+Figure now has ``draw_without_rendering`` method
+------------------------------------------------
+
+Some aspects of a figure are only determined at draw-time, such as the exact
+position of text artists or deferred computation like automatic data limits.
+If you need these values, you can use ``figure.canvas.draw()`` to force a full
+draw. However, this has side effects, sometimes requires an open file, and is
+doing more work than is needed.
+
+The new `.Figure.draw_without_rendering` method runs all the updates that
+``draw()`` does, but skips rendering the figure. It's thus more efficient if
+you need the updated values to configure further aspects of the figure.
+
+Figure ``__init__`` passes keyword arguments through to set
+-----------------------------------------------------------
+
+Similar to many other sub-classes of `~.Artist`, the `~.FigureBase`,
+`~.SubFigure`, and `~.Figure` classes will now pass any additional keyword
+arguments to `~.Artist.set` to allow properties of the newly created object to
+be set at initialization time. For example::
+
+    from matplotlib.figure import Figure
+    fig = Figure(label='my figure')
+
+Plotting methods
+================
+
+Add ``Annulus`` patch
+---------------------
+
+`.Annulus` is a new class for drawing elliptical annuli.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    from matplotlib.patches import Annulus
+
+    fig, ax = plt.subplots()
+    cir = Annulus((0.5, 0.5), 0.2, 0.05, fc='g')        # circular annulus
+    ell = Annulus((0.5, 0.5), (0.5, 0.3), 0.1, 45,      # elliptical
+                  fc='m', ec='b', alpha=0.5, hatch='xxx')
+    ax.add_patch(cir)
+    ax.add_patch(ell)
+    ax.set_aspect('equal')
+
+``set_data`` method for ``FancyArrow`` patch
+--------------------------------------------
+
+`.FancyArrow`, the patch returned by ``ax.arrow``, now has a ``set_data``
+method that allows modifying the arrow after creation, e.g., for animation.
+
+New arrow styles in ``ArrowStyle`` and ``ConnectionPatch``
+----------------------------------------------------------
+
+The new *arrow* parameter to `.ArrowStyle` substitutes the use of the
+*beginarrow* and *endarrow* parameters in the creation of arrows. It receives
+arrows strings like ``'<-'``, ``']-[``' and ``']->``' instead of individual
+booleans.
+
+Two new styles ``']->'`` and ``'<-['`` are also added via this mechanism.
+`.ConnectionPatch`, which accepts arrow styles though its *arrowstyle*
+parameter, also accepts these new styles.
+
+.. plot::
+
+    import matplotlib.patches as mpatches
+
+    fig, ax = plt.subplots(figsize=(4, 4))
+
+    ax.plot([0.75, 0.75], [0.25, 0.75], 'ok')
+    ax.set(xlim=(0, 1), ylim=(0, 1), title='New ArrowStyle options')
+
+    ax.annotate(']->', (0.75, 0.25), (0.25, 0.25),
+                arrowprops=dict(
+                    arrowstyle=']->', connectionstyle="arc3,rad=-0.05",
+                    shrinkA=5, shrinkB=5,
+                ),
+                bbox=dict(boxstyle='square', fc='w'), size='large')
+
+    ax.annotate('<-[', (0.75, 0.75), (0.25, 0.75),
+                arrowprops=dict(
+                    arrowstyle='<-[', connectionstyle="arc3,rad=-0.05",
+                    shrinkA=5, shrinkB=5,
+                ),
+                bbox=dict(boxstyle='square', fc='w'), size='large')
+
+Setting collection offset transform after initialization
+--------------------------------------------------------
+
+The added `.collections.Collection.set_offset_transform` may be used to set the
+offset transform after initialization. This can be helpful when creating a
+`.collections.Collection` outside an Axes object, and later adding it with
+`.Axes.add_collection()` and setting the offset transform to ``Axes.transData``.
+
+Colors and colormaps
+====================
+
+Colormap registry (experimental)
+--------------------------------
+
+Colormaps are now managed via `matplotlib.colormaps` (or `.pyplot.colormaps`),
+which is a `.ColormapRegistry`. While we are confident that the API is final,
+we formally mark it as experimental for 3.5 because we want to keep the option
+to still modify the API for 3.6 should the need arise.
+
+Colormaps can be obtained using item access::
+
+    import matplotlib.pyplot as plt
+    cmap = plt.colormaps['viridis']
+
+To register new colormaps use::
+
+    plt.colormaps.register(my_colormap)
+
+We recommend to use the new API instead of the ``matplotlib.cm.get_cmap`` and
+``matplotlib.cm.register_cmap`` functions for new code. ``matplotlib.cm.get_cmap`` and
+``matplotlib.cm.register_cmap`` will eventually be deprecated and removed.
+Within `.pyplot`, ``plt.get_cmap()`` and ``plt.register_cmap()`` will continue
+to be supported for backward compatibility.
+
+Image interpolation now possible at RGBA stage
+----------------------------------------------
+
+Images in Matplotlib created via `~.axes.Axes.imshow` are resampled to match
+the resolution of the current canvas. It is useful to apply an auto-aliasing
+filter when downsampling to reduce Moiré effects. By default, interpolation is
+done on the data, a norm applied, and then the colormapping performed.
+
+However, it is often desirable for the anti-aliasing interpolation to happen
+in RGBA space, where the colors are interpolated rather than the data. This
+usually leads to colors outside the colormap, but visually blends adjacent
+colors, and is what browsers and other image processing software do.
+
+A new keyword argument *interpolation_stage* is provided for
+`~.axes.Axes.imshow` to set the stage at which the anti-aliasing interpolation
+happens. The default is the current behaviour of "data", with the alternative
+being "rgba" for the newly-available behavior.
+
+.. figure:: /gallery/images_contours_and_fields/images/sphx_glr_image_antialiasing_001.png
+   :target: ../../gallery/images_contours_and_fields/image_antialiasing.html
+
+   Example of the interpolation stage options.
+
+For more details see the discussion of the new keyword argument in
+:doc:`/gallery/images_contours_and_fields/image_antialiasing`.
+
+``imshow`` supports half-float arrays
+-------------------------------------
+
+The `~.axes.Axes.imshow` method now supports half-float arrays, i.e., NumPy
+arrays with dtype ``np.float16``.
+
+A callback registry has been added to Normalize objects
+-------------------------------------------------------
+
+`.colors.Normalize` objects now have a callback registry, ``callbacks``, that
+can be connected to by other objects to be notified when the norm is updated.
+The callback emits the key ``changed`` when the norm is modified.
+`.cm.ScalarMappable` is now a listener and will register a change when the
+norm's vmin, vmax or other attributes are changed.
+
+Titles, ticks, and labels
+=========================
+
+Settings tick positions and labels simultaneously in ``set_ticks``
+------------------------------------------------------------------
+
+`.Axis.set_ticks` (and the corresponding `.Axes.set_xticks` /
+`.Axes.set_yticks`) has a new parameter *labels* allowing to set tick positions
+and labels simultaneously.
+
+Previously, setting tick labels was done using `.Axis.set_ticklabels` (or
+the corresponding `.Axes.set_xticklabels` / `.Axes.set_yticklabels`); this
+usually only makes sense if tick positions were previously fixed with
+`~.Axis.set_ticks`::
+
+    ax.set_xticks([1, 2, 3])
+    ax.set_xticklabels(['a', 'b', 'c'])
+
+The combined functionality is now available in `~.Axis.set_ticks`::
+
+    ax.set_xticks([1, 2, 3], ['a', 'b', 'c'])
+
+The use of `.Axis.set_ticklabels` is discouraged, but it will stay available
+for backward compatibility.
+
+Note: This addition makes the API of `~.Axis.set_ticks` also more similar to
+`.pyplot.xticks` / `.pyplot.yticks`, which already had the additional *labels*
+parameter.
+
+Fonts and Text
+==============
+
+Triple and quadruple dot mathtext accents
+-----------------------------------------
+
+In addition to single and double dot accents, mathtext now supports triple and
+quadruple dot accents.
+
+.. plot::
+    :include-source:
+
+    fig = plt.figure(figsize=(3, 1))
+    fig.text(0.5, 0.5, r'$\dot{a} \ddot{b} \dddot{c} \ddddot{d}$', fontsize=40,
+             horizontalalignment='center', verticalalignment='center')
+
+Font properties of legend title are configurable
+------------------------------------------------
+
+Title's font properties can be set via the *title_fontproperties* keyword
+argument, for example:
+
+.. plot::
+
+    fig, ax = plt.subplots(figsize=(4, 3))
+    ax.plot(range(10), label='point')
+    ax.legend(title='Points',
+              title_fontproperties={'family': 'serif', 'size': 20})
+
+``Text`` and ``TextBox`` added *parse_math* option
+--------------------------------------------------
+
+`.Text` and `.TextBox` objects now allow a *parse_math* keyword-only argument
+which controls whether math should be parsed from the displayed string. If
+*True*, the string will be parsed as a math text object. If *False*, the string
+will be considered a literal and no parsing will occur.
+
+Text can be positioned inside TextBox widget
+--------------------------------------------
+
+A new parameter called *textalignment* can be used to control for the position
+of the text inside the Axes of the `.TextBox` widget.
+
+.. plot::
+
+    from matplotlib import pyplot as plt
+    from matplotlib.widgets import TextBox
+
+    fig = plt.figure(figsize=(4, 3))
+    for i, alignment in enumerate(['left', 'center', 'right']):
+            box_input = fig.add_axes([0.1, 0.7 - i*0.3, 0.8, 0.2])
+            text_box = TextBox(ax=box_input, initial=f'{alignment} alignment',
+                               label='', textalignment=alignment)
+
+Simplifying the font setting for usetex mode
+--------------------------------------------
+
+Now the :rc:`font.family` accepts some font names as value for a more
+user-friendly setup.
+
+.. code-block:: python
+
+    plt.rcParams.update({
+        "text.usetex": True,
+        "font.family": "Helvetica"
+    })
+
+Type 42 subsetting is now enabled for PDF/PS backends
+-----------------------------------------------------
+
+`~matplotlib.backends.backend_pdf` and `~matplotlib.backends.backend_ps` now
+use a unified Type 42 font subsetting interface, with the help of `fontTools
+<https://fonttools.readthedocs.io/en/latest/>`_
+
+Set :rc:`pdf.fonttype` or :rc:`ps.fonttype` to ``42`` to trigger this
+workflow::
+
+    # for PDF backend
+    plt.rcParams['pdf.fonttype'] = 42
+
+    # for PS backend
+    plt.rcParams['ps.fonttype'] = 42
+
+    fig, ax = plt.subplots()
+    ax.text(0.4, 0.5, 'subsetted document is smaller in size!')
+
+    fig.savefig("document.pdf")
+    fig.savefig("document.ps")
+
+rcParams improvements
+=====================
+
+Allow setting default legend labelcolor globally
+------------------------------------------------
+
+A new :rc:`legend.labelcolor` sets the default *labelcolor* argument for
+`.Figure.legend`.  The special values  'linecolor', 'markerfacecolor' (or
+'mfc'), or 'markeredgecolor' (or 'mec') will cause the legend text to match the
+corresponding color of marker.
+
+.. plot::
+
+    plt.rcParams['legend.labelcolor'] = 'linecolor'
+
+    # Make some fake data.
+    a = np.arange(0, 3, .02)
+    c = np.exp(a)
+    d = c[::-1]
+
+    fig, ax = plt.subplots()
+    ax.plot(a, c, 'g--', label='Model length')
+    ax.plot(a, d, 'r:', label='Data length')
+
+    ax.legend()
+
+    plt.show()
+
+3D Axes improvements
+====================
+
+Axes3D now allows manual control of draw order
+----------------------------------------------
+
+The `~mpl_toolkits.mplot3d.axes3d.Axes3D` class now has *computed_zorder*
+parameter. When set to False, Artists are drawn using their ``zorder``
+attribute.
+
+.. plot::
+
+    import matplotlib.patches as mpatches
+    from mpl_toolkits.mplot3d import art3d
+
+    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6.4, 3),
+                                   subplot_kw=dict(projection='3d'))
+
+    ax1.set_title('computed_zorder = True (default)')
+    ax2.set_title('computed_zorder = False')
+    ax2.computed_zorder = False
+
+    corners = ((0, 0, 0), (0, 5, 0), (5, 5, 0), (5, 0, 0))
+    for ax in (ax1, ax2):
+        tri = art3d.Poly3DCollection([corners],
+                                     facecolors='white',
+                                     edgecolors='black',
+                                     zorder=1)
+        ax.add_collection3d(tri)
+        line, = ax.plot((2, 2), (2, 2), (0, 4), c='red', zorder=2,
+                        label='zorder=2')
+        points = ax.scatter((3, 3), (1, 3), (1, 3), c='red', zorder=10,
+                            label='zorder=10')
+
+        ax.set_xlim((0, 5))
+        ax.set_ylim((0, 5))
+        ax.set_zlim((0, 2.5))
+
+    plane = mpatches.Patch(facecolor='white', edgecolor='black',
+                           label='zorder=1')
+    fig.legend(handles=[plane, line, points], loc='lower center')
+
+Allow changing the vertical axis in 3d plots
+----------------------------------------------
+
+`~mpl_toolkits.mplot3d.axes3d.Axes3D.view_init` now has the parameter
+*vertical_axis* which allows switching which axis is aligned vertically.
+
+.. plot::
+
+    Nphi, Nr = 18, 8
+    phi = np.linspace(0, np.pi, Nphi)
+    r = np.arange(Nr)
+    phi = np.tile(phi, Nr).flatten()
+    r = np.repeat(r, Nphi).flatten()
+
+    x = r * np.sin(phi)
+    y = r * np.cos(phi)
+    z = Nr - r
+
+    fig, axs = plt.subplots(1, 3, figsize=(7, 3),
+                            subplot_kw=dict(projection='3d'),
+                            gridspec_kw=dict(wspace=0.4, left=0.08, right=0.98,
+                                             bottom=0, top=1))
+    for vert_a, ax in zip(['z', 'y', 'x'], axs):
+        pc = ax.scatter(x, y, z, c=z)
+        ax.view_init(azim=30, elev=30, vertical_axis=vert_a)
+        ax.set(xlabel='x', ylabel='y', zlabel='z',
+               title=f'vertical_axis={vert_a!r}')
+
+``plot_surface`` supports masked arrays and NaNs
+------------------------------------------------
+
+`.axes3d.Axes3D.plot_surface` supports masked arrays and NaNs, and will now
+hide quads that contain masked or NaN points. The behaviour is similar to
+`.Axes.contour` with ``corner_mask=True``.
+
+.. plot::
+
+    import matplotlib
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots(figsize=(6, 6), subplot_kw={'projection': '3d'},
+                           constrained_layout=True)
+
+    x, y = np.mgrid[1:10:1, 1:10:1]
+    z = x ** 3 + y ** 3 - 500
+    z = np.ma.masked_array(z, z < 0)
+
+    ax.plot_surface(x, y, z, rstride=1, cstride=1, linewidth=0, cmap='inferno')
+    ax.view_init(35, -90)
+
+3D plotting methods support *data* keyword argument
+---------------------------------------------------
+
+To match all 2D plotting methods, the 3D Axes now support the *data* keyword
+argument. This allows passing arguments indirectly from a DataFrame-like
+structure. ::
+
+    data = {  # A labelled data set, or e.g., Pandas DataFrame.
+        'x': ...,
+        'y': ...,
+        'z': ...,
+        'width': ...,
+        'depth': ...,
+        'top': ...,
+    }
+
+    fig, ax = plt.subplots(subplot_kw={'projection': '3d')
+    ax.bar3d('x', 'y', 'z', 'width', 'depth', 'top', data=data)
+
+Interactive tool improvements
+=============================
+
+Colorbars now have pan and zoom functionality
+---------------------------------------------
+
+Interactive plots with colorbars can now be zoomed and panned on the colorbar
+axis. This adjusts the *vmin* and *vmax* of the ``ScalarMappable`` associated
+with the colorbar. This is currently only enabled for continuous norms. Norms
+used with contourf and categoricals, such as ``BoundaryNorm`` and ``NoNorm``,
+have the interactive capability disabled by default. ``cb.ax.set_navigate()``
+can be used to set whether a colorbar axes is interactive or not.
+
+Updated the appearance of Slider widgets
+----------------------------------------
+
+The appearance of `~.Slider` and `~.RangeSlider` widgets were updated and given
+new styling parameters for the added handles.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    from matplotlib.widgets import Slider
+
+    plt.figure(figsize=(4, 2))
+    ax_old = plt.axes([0.2, 0.65, 0.65, 0.1])
+    ax_new = plt.axes([0.2, 0.25, 0.65, 0.1])
+    Slider(ax_new, "New", 0, 1)
+
+    ax = ax_old
+    valmin = 0
+    valinit = 0.5
+    ax.set_xlim([0, 1])
+    ax_old.axvspan(valmin, valinit, 0, 1)
+    ax.axvline(valinit, 0, 1, color="r", lw=1)
+    ax.set_xticks([])
+    ax.set_yticks([])
+    ax.text(
+        -0.02,
+        0.5,
+        "Old",
+        transform=ax.transAxes,
+        verticalalignment="center",
+        horizontalalignment="right",
+    )
+
+    ax.text(
+        1.02,
+        0.5,
+        "0.5",
+        transform=ax.transAxes,
+        verticalalignment="center",
+        horizontalalignment="left",
+    )
+
+Removing points on a PolygonSelector
+------------------------------------
+
+After completing a `~matplotlib.widgets.PolygonSelector`, individual points can
+now be removed by right-clicking on them.
+
+Dragging selectors
+------------------
+
+The `~matplotlib.widgets.SpanSelector`, `~matplotlib.widgets.RectangleSelector`
+and `~matplotlib.widgets.EllipseSelector` have a new keyword argument,
+*drag_from_anywhere*, which when set to `True` allows you to click and drag
+from anywhere inside the selector to move it. Previously it was only possible
+to move it by either activating the move modifier button, or clicking on the
+central handle.
+
+The size of the `~matplotlib.widgets.SpanSelector` can now be changed using the
+edge handles.
+
+Clearing selectors
+------------------
+
+The selectors (`~.widgets.EllipseSelector`, `~.widgets.LassoSelector`,
+`~.widgets.PolygonSelector`, `~.widgets.RectangleSelector`, and
+`~.widgets.SpanSelector`) have a new method *clear*, which will clear the
+current selection and get the selector ready to make a new selection. This is
+equivalent to pressing the *escape* key.
+
+Setting artist properties of selectors
+--------------------------------------
+
+The artist properties of the `~.widgets.EllipseSelector`,
+`~.widgets.LassoSelector`, `~.widgets.PolygonSelector`,
+`~.widgets.RectangleSelector` and `~.widgets.SpanSelector` selectors can be
+changed using the ``set_props`` and ``set_handle_props`` methods.
+
+Ignore events outside selection
+-------------------------------
+
+The `~.widgets.EllipseSelector`, `~.widgets.RectangleSelector` and
+`~.widgets.SpanSelector` selectors have a new keyword argument,
+*ignore_event_outside*, which when set to `True` will ignore events outside of
+the current selection. The handles or the new dragging functionality can instead
+be used to change the selection.
+
+``CallbackRegistry`` objects gain a method to temporarily block signals
+-----------------------------------------------------------------------
+
+The context manager `~matplotlib.cbook.CallbackRegistry.blocked` can be used
+to block callback signals from being processed by the ``CallbackRegistry``.
+The optional keyword, *signal*, can be used to block a specific signal
+from being processed and let all other signals pass.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+    ax.imshow([[0, 1], [2, 3]])
+
+    # Block all interactivity through the canvas callbacks
+    with fig.canvas.callbacks.blocked():
+        plt.show()
+
+    fig, ax = plt.subplots()
+    ax.imshow([[0, 1], [2, 3]])
+
+    # Only block key press events
+    with fig.canvas.callbacks.blocked(signal="key_press_event"):
+        plt.show()
+
+Directional sizing cursors
+--------------------------
+
+Canvases now support setting directional sizing cursors, i.e., horizontal and
+vertical double arrows. These are used in e.g., selector widgets. Try the
+:doc:`/gallery/widgets/mouse_cursor` example to see the cursor in your desired
+backend.
+
+Sphinx extensions
+=================
+
+More configuration of ``mathmpl`` sphinx extension
+--------------------------------------------------
+
+The `matplotlib.sphinxext.mathmpl` sphinx extension supports two new
+configuration options that may be specified in your ``conf.py``:
+
+- ``mathmpl_fontsize`` (float), which sets the font size of the math text in
+  points;
+- ``mathmpl_srcset`` (list of str), which provides a list of sizes to support
+  `responsive resolution images
+  <https://developer.mozilla.org/en-US/docs/Learn/HTML/Multimedia_and_embedding/Responsive_images>`__
+  The list should contain additional x-descriptors (``'1.5x'``, ``'2x'``, etc.)
+  to generate (1x is the default and always included.)
+
+Backend-specific improvements
+=============================
+
+GTK backend
+-----------
+
+A backend supporting GTK4_ has been added. Both Agg and Cairo renderers are
+supported. The GTK4 backends may be selected as GTK4Agg or GTK4Cairo.
+
+.. _GTK4: https://www.gtk.org/
+
+Qt backends
+-----------
+
+Support for Qt6 (using either PyQt6_ or PySide6_) has been added, with either
+the Agg or Cairo renderers. Simultaneously, support for Qt4 has been dropped.
+Both Qt6 and Qt5 are supported by a combined backend (QtAgg or QtCairo), and
+the loaded version is determined by modules already imported, the
+:envvar:`QT_API` environment variable, and available packages. See
+:ref:`QT_bindings` for details. The versioned Qt5 backend names (Qt5Agg or
+Qt5Cairo) remain supported for backwards compatibility.
+
+.. _PyQt6: https://www.riverbankcomputing.com/static/Docs/PyQt6/
+.. _PySide6: https://doc.qt.io/qtforpython/
+
+HiDPI support in Cairo-based, GTK, and Tk backends
+--------------------------------------------------
+
+The GTK3 backends now support HiDPI fully, including mixed monitor cases (on
+Wayland only). The newly added GTK4 backends also support HiDPI.
+
+The TkAgg backend now supports HiDPI **on Windows only**, including mixed
+monitor cases.
+
+All Cairo-based backends correctly support HiDPI as well as their Agg
+counterparts did (i.e., if the toolkit supports HiDPI, then the \*Cairo backend
+will now support it, but not otherwise.)
+
+Qt figure options editor improvements
+-------------------------------------
+
+The figure options editor in the Qt backend now also supports editing the left
+and right titles (plus the existing centre title). Editing Axis limits is
+better supported when using a date converter. The ``symlog`` option is now
+available in Axis scaling options. All entries with the same label are now
+shown in the Curves tab.
+
+WX backends support mouse navigation buttons
+--------------------------------------------
+
+The WX backends now support navigating through view states using the mouse
+forward/backward buttons, as in other backends.
+
+WebAgg uses asyncio instead of Tornado
+--------------------------------------
+
+The WebAgg backend defaults to using `asyncio` over Tornado for timer support.
+This allows using the WebAgg backend in JupyterLite.
+
+Version information
+===================
+
+We switched to the `release-branch-semver`_ version scheme of setuptools-scm.
+This only affects the version information for development builds. Their version
+number now describes the targeted release, i.e. 3.5.0.dev820+g6768ef8c4c is 820
+commits after the previous release and is scheduled to be officially released
+as 3.5.0 later.
+
+In addition to the string ``__version__``, there is now a namedtuple
+``__version_info__`` as well, which is modelled after `sys.version_info`_. Its
+primary use is safely comparing version information, e.g.  ``if
+__version_info__ >= (3, 4, 2)``.
+
+.. _release-branch-semver: https://github.com/pypa/setuptools_scm#version-number-construction
+.. _sys.version_info: https://docs.python.org/3/library/sys.html#sys.version_info
diff --git a/doc/users/prev_whats_new/whats_new_3.5.2.rst b/doc/users/prev_whats_new/whats_new_3.5.2.rst
new file mode 100644
index 000000000000..85b1c38862eb
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.5.2.rst
@@ -0,0 +1,20 @@
+=============================================
+What's new in Matplotlib 3.5.2 (May 02, 2022)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Windows on ARM support
+----------------------
+
+Preliminary support for Windows on arm64 target has been added; this requires
+FreeType 2.11 or above.
+
+No binary wheels are available yet but it may be built from source.
diff --git a/doc/users/prev_whats_new/whats_new_3.6.0.rst b/doc/users/prev_whats_new/whats_new_3.6.0.rst
new file mode 100644
index 000000000000..9fcf8cebfc6f
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.6.0.rst
@@ -0,0 +1,888 @@
+=============================================
+What's new in Matplotlib 3.6.0 (Sep 15, 2022)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Figure and Axes creation / management
+=====================================
+``subplots``, ``subplot_mosaic`` accept *height_ratios* and *width_ratios* arguments
+------------------------------------------------------------------------------------
+
+The relative width and height of columns and rows in `~.Figure.subplots` and
+`~.Figure.subplot_mosaic` can be controlled by passing *height_ratios* and
+*width_ratios* keyword arguments to the methods:
+
+.. plot::
+    :alt: A figure with three subplots in three rows and one column. The height of the subplot in the first row is three times than the subplots in the 2nd and 3rd row.
+    :include-source: true
+
+    fig = plt.figure()
+    axs = fig.subplots(3, 1, sharex=True, height_ratios=[3, 1, 1])
+
+Previously, this required passing the ratios in *gridspec_kw* arguments::
+
+    fig = plt.figure()
+    axs = fig.subplots(3, 1, sharex=True,
+                       gridspec_kw=dict(height_ratios=[3, 1, 1]))
+
+Constrained layout is no longer considered experimental
+-------------------------------------------------------
+
+The constrained layout engine and API is no longer considered experimental.
+Arbitrary changes to behaviour and API are no longer permitted without a
+deprecation period.
+
+New ``layout_engine`` module
+----------------------------
+
+Matplotlib ships with ``tight_layout`` and ``constrained_layout`` layout
+engines.  A new `.layout_engine` module is provided to allow downstream
+libraries to write their own layout engines and `~.figure.Figure` objects can
+now take a `.LayoutEngine` subclass as an argument to the *layout* parameter.
+
+Compressed layout for fixed-aspect ratio Axes
+---------------------------------------------
+
+Simple arrangements of Axes with fixed aspect ratios can now be packed together
+with ``fig, axs = plt.subplots(2, 3, layout='compressed')``.
+
+With ``layout='tight'`` or ``'constrained'``, Axes with a fixed aspect ratio
+can leave large gaps between each other:
+
+.. plot::
+    :alt: A figure labelled "fixed-aspect plots, layout=constrained". Figure has subplots displayed in 2 rows and 2 columns; Subplots have large gaps between each other.
+
+    fig, axs = plt.subplots(2, 2, figsize=(5, 3),
+                            sharex=True, sharey=True, layout="constrained")
+    for ax in axs.flat:
+        ax.imshow([[0, 1], [2, 3]])
+    fig.suptitle("fixed-aspect plots, layout='constrained'")
+
+Using the ``layout='compressed'`` layout reduces the space between the Axes,
+and adds the extra space to the outer margins:
+
+.. plot::
+    :alt: Four identical two by two heatmaps, each cell a different color: purple, blue, yellow, green going clockwise from upper left corner. The four heatmaps are laid out in a two by two grid with minimum white space between the heatmaps.
+
+    fig, axs = plt.subplots(2, 2, figsize=(5, 3),
+                            sharex=True, sharey=True, layout='compressed')
+    for ax in axs.flat:
+        ax.imshow([[0, 1], [2, 3]])
+    fig.suptitle("fixed-aspect plots, layout='compressed'")
+
+See :ref:`compressed_layout` for further details.
+
+Layout engines may now be removed
+---------------------------------
+
+The layout engine on a Figure may now be removed by calling
+`.Figure.set_layout_engine` with ``'none'``. This may be useful after computing
+layout in order to reduce computations, e.g., for subsequent animation loops.
+
+A different layout engine may be set afterwards, so long as it is compatible
+with the previous layout engine.
+
+``Axes.inset_axes`` flexibility
+-------------------------------
+
+`matplotlib.axes.Axes.inset_axes` now accepts the *projection*, *polar* and
+*axes_class* keyword arguments, so that subclasses of `matplotlib.axes.Axes`
+may be returned.
+
+.. plot::
+    :alt: Plot of a straight line y=x, with a small inset axes in the lower right corner that shows a circle with radial grid lines and a line plotted in polar coordinates.
+    :include-source: true
+
+    fig, ax = plt.subplots()
+
+    ax.plot([0, 2], [1, 2])
+
+    polar_ax = ax.inset_axes([0.75, 0.25, 0.2, 0.2], projection='polar')
+    polar_ax.plot([0, 2], [1, 2])
+
+WebP is now a supported output format
+-------------------------------------
+
+Figures may now be saved in WebP format by using the ``.webp`` file extension,
+or passing ``format='webp'`` to `~.Figure.savefig`. This relies on `Pillow
+<https://pillow.readthedocs.io/en/latest/>`_ support for WebP.
+
+Garbage collection is no longer run on figure close
+---------------------------------------------------
+
+Matplotlib has a large number of circular references (between Figure and
+Manager, between Axes and Figure, Axes and Artist, Figure and Canvas, etc.) so
+when the user drops their last reference to a Figure (and clears it from
+pyplot's state), the objects will not immediately be deleted.
+
+To account for this we have long (since before 2004) had a `gc.collect` (of the
+lowest two generations only) in the closing code in order to promptly clean up
+after ourselves. However this is both not doing what we want (as most of our
+objects will actually survive) and due to clearing out the first generation
+opened us up to having unbounded memory usage.
+
+In cases with a very tight loop between creating the figure and destroying it
+(e.g. ``plt.figure(); plt.close()``) the first generation will never grow large
+enough for Python to consider running the collection on the higher generations.
+This will lead to unbounded memory usage as the long-lived objects are never
+re-considered to look for reference cycles and hence are never deleted.
+
+We now no longer do any garbage collection when a figure is closed, and rely on
+Python automatically deciding to run garbage collection periodically. If you
+have strict memory requirements, you can call `gc.collect` yourself but this
+may have performance impacts in a tight computation loop.
+
+Plotting methods
+================
+
+Striped lines (experimental)
+----------------------------
+
+The new *gapcolor* parameter to `~.Axes.plot` enables the creation of striped
+lines.
+
+.. plot::
+    :alt: Plot of x**3 where the line is an orange-blue striped line, achieved using the keywords linestyle='--', color='orange', gapcolor='blue'
+    :include-source: true
+
+    x = np.linspace(1., 3., 10)
+    y = x**3
+
+    fig, ax = plt.subplots()
+    ax.plot(x, y, linestyle='--', color='orange', gapcolor='blue',
+            linewidth=3, label='a striped line')
+    ax.legend()
+
+Custom cap widths in box and whisker plots in ``bxp`` and ``boxplot``
+---------------------------------------------------------------------
+
+The new *capwidths* parameter to `~.Axes.bxp` and `~.Axes.boxplot` allows
+controlling the widths of the caps in box and whisker plots.
+
+.. plot::
+    :alt: A box plot with capwidths 0.01 and 0.2 
+    :include-source: true
+
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    capwidths = [0.01, 0.2]
+
+    fig, ax = plt.subplots()
+    ax.boxplot([x, x], notch=True, capwidths=capwidths)
+    ax.set_title(f'{capwidths=}')
+
+Easier labelling of bars in bar plot
+------------------------------------
+
+The *label* argument of `~.Axes.bar` and `~.Axes.barh` can now be passed a list
+of labels for the bars. The list must be the same length as *x* and labels the
+individual bars. Repeated labels are not de-duplicated and will cause repeated
+label entries, so this is best used when bars also differ in style (e.g., by
+passing a list to *color*, as below.)
+
+.. plot::
+    :alt: Bar chart: blue bar height 10, orange bar height 20, green bar height 15 legend with blue box labeled a, orange box labeled b, and green box labeled c
+    :include-source: true
+
+    x = ["a", "b", "c"]
+    y = [10, 20, 15]
+    color = ['C0', 'C1', 'C2']
+
+    fig, ax = plt.subplots()
+    ax.bar(x, y, color=color, label=x)
+    ax.legend()
+
+New style format string for colorbar ticks
+------------------------------------------
+
+The *format* argument of `~.Figure.colorbar` (and other colorbar methods) now
+accepts ``{}``-style format strings.
+
+.. code-block:: python
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(z)
+    fig.colorbar(im, format='{x:.2e}')  # Instead of '%.2e'
+
+Linestyles for negative contours may be set individually
+--------------------------------------------------------
+
+The line style of negative contours may be set by passing the
+*negative_linestyles* argument to `.Axes.contour`. Previously, this style could
+only be set globally via :rc:`contour.negative_linestyle`.
+
+.. plot::
+    :alt: Two contour plots, each showing two positive and two negative contours. The positive contours are shown in solid black lines in both plots. In one plot the negative contours are shown in dashed lines, which is the current styling. In the other plot they're shown in dotted lines, which is one of the new options.
+    :include-source: true
+
+    delta = 0.025
+    x = np.arange(-3.0, 3.0, delta)
+    y = np.arange(-2.0, 2.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    fig, axs = plt.subplots(1, 2)
+
+    CS = axs[0].contour(X, Y, Z, 6, colors='k')
+    axs[0].clabel(CS, fontsize=9, inline=True)
+    axs[0].set_title('Default negative contours')
+
+    CS = axs[1].contour(X, Y, Z, 6, colors='k', negative_linestyles='dotted')
+    axs[1].clabel(CS, fontsize=9, inline=True)
+    axs[1].set_title('Dotted negative contours')
+
+Improved quad contour calculations via ContourPy
+------------------------------------------------
+
+The contouring functions `~.axes.Axes.contour` and `~.axes.Axes.contourf` have
+a new keyword argument *algorithm* to control which algorithm is used to
+calculate the contours. There is a choice of four algorithms to use, and the
+default is to use ``algorithm='mpl2014'`` which is the same algorithm that
+Matplotlib has been using since 2014.
+
+Previously Matplotlib shipped its own C++ code for calculating the contours of
+quad grids. Now the external library `ContourPy
+<https://github.com/contourpy/contourpy>`_ is used instead.
+
+Other possible values of the *algorithm* keyword argument at this time are
+``'mpl2005'``, ``'serial'`` and ``'threaded'``; see the `ContourPy
+documentation <https://contourpy.readthedocs.io>`_ for further details.
+
+.. note::
+
+   Contour lines and polygons produced by ``algorithm='mpl2014'`` will be the
+   same as those produced before this change to within floating-point
+   tolerance. The exception is for duplicate points, i.e. contours containing
+   adjacent (x, y) points that are identical; previously the duplicate points
+   were removed, now they are kept. Contours affected by this will produce the
+   same visual output, but there will be a greater number of points in the
+   contours.
+
+   The locations of contour labels obtained by using `~.axes.Axes.clabel` may
+   also be different.
+
+``errorbar`` supports *markerfacecoloralt*
+------------------------------------------
+
+The *markerfacecoloralt* parameter is now passed to the line plotter from
+`.Axes.errorbar`. The documentation now accurately lists which properties are
+passed to `.Line2D`, rather than claiming that all keyword arguments are passed
+on.
+
+.. plot::
+    :alt: Graph with error bar showing ±0.2 error on the x-axis, and ±0.4 error on the y-axis. Error bar marker is a circle radius 20. Error bar face color is blue.
+    :include-source: true
+
+    x = np.arange(0.1, 4, 0.5)
+    y = np.exp(-x)
+
+    fig, ax = plt.subplots()
+    ax.errorbar(x, y, xerr=0.2, yerr=0.4,
+                linestyle=':', color='darkgrey',
+                marker='o', markersize=20, fillstyle='left',
+                markerfacecolor='tab:blue', markerfacecoloralt='tab:orange',
+                markeredgecolor='tab:brown', markeredgewidth=2)
+
+``streamplot`` can disable streamline breaks
+--------------------------------------------
+
+It is now possible to specify that streamplots have continuous, unbroken
+streamlines. Previously streamlines would end to limit the number of lines
+within a single grid cell. See the difference between the plots below:
+
+.. plot::
+    :alt: A figure with two streamplots. First streamplot has broken streamlines. Second streamplot has continuous streamlines.
+    
+    w = 3
+    Y, X = np.mgrid[-w:w:100j, -w:w:100j]
+    U = -1 - X**2 + Y
+    V = 1 + X - Y**2
+    speed = np.sqrt(U**2 + V**2)
+
+    fig, (ax0, ax1) = plt.subplots(1, 2, sharex=True)
+
+    ax0.streamplot(X, Y, U, V, broken_streamlines=True)
+    ax0.set_title('broken_streamlines=True')
+
+    ax1.streamplot(X, Y, U, V, broken_streamlines=False)
+    ax1.set_title('broken_streamlines=False')
+
+New axis scale ``asinh`` (experimental)
+---------------------------------------
+
+The new ``asinh`` axis scale offers an alternative to ``symlog`` that smoothly
+transitions between the quasi-linear and asymptotically logarithmic regions of
+the scale. This is based on an arcsinh transformation that allows plotting both
+positive and negative values that span many orders of magnitude.
+
+.. plot::
+    :alt: Figure with 2 subplots. Subplot on the left uses symlog scale on the y axis. The transition at -2 is not smooth. Subplot on the right use asinh scale. The transition at -2 is smooth. 
+
+    fig, (ax0, ax1) = plt.subplots(1, 2, sharex=True)
+    x = np.linspace(-3, 6, 100)
+
+    ax0.plot(x, x)
+    ax0.set_yscale('symlog')
+    ax0.grid()
+    ax0.set_title('symlog')
+
+    ax1.plot(x, x)
+    ax1.set_yscale('asinh')
+    ax1.grid()
+    ax1.set_title(r'$sinh^{-1}$')
+
+    for p in (-2, 2):
+        for ax in (ax0, ax1):
+            c = plt.Circle((p, p), radius=0.5, fill=False,
+                           color='red', alpha=0.8, lw=3)
+            ax.add_patch(c)
+
+``stairs(..., fill=True)`` hides patch edge by setting linewidth
+----------------------------------------------------------------
+
+``stairs(..., fill=True)`` would previously hide Patch edges by setting
+``edgecolor="none"``. Consequently, calling ``set_color()`` on the Patch later
+would make the Patch appear larger.
+
+Now, by using ``linewidth=0``, this apparent size change is prevented. Likewise
+calling ``stairs(..., fill=True, linewidth=3)`` will behave more transparently.
+
+Fix the dash offset of the Patch class
+--------------------------------------
+
+Formerly, when setting the line style on a `.Patch` object using a dash tuple,
+the offset was ignored. Now the offset is applied to the Patch as expected and
+it can be used as it is used with `.Line2D` objects.
+
+Rectangle patch rotation point
+------------------------------
+
+The rotation point of the `~matplotlib.patches.Rectangle` can now be set to
+'xy', 'center' or a 2-tuple of numbers using the *rotation_point* argument.
+
+.. plot::
+    :alt: Blue square that isn't rotated. Green square rotated 45 degrees relative to center. Orange square rotated 45 degrees relative to lower right corner. Red square rotated 45 degrees relative to point in upper right quadrant.  
+
+    fig, ax = plt.subplots()
+
+    rect = plt.Rectangle((0, 0), 1, 1, facecolor='none', edgecolor='C0')
+    ax.add_patch(rect)
+    ax.annotate('Unrotated', (1, 0), color='C0',
+                horizontalalignment='right', verticalalignment='top',
+                xytext=(0, -3), textcoords='offset points')
+
+    for rotation_point, color in zip(['xy', 'center', (0.75, 0.25)],
+                                     ['C1', 'C2', 'C3']):
+        ax.add_patch(
+            plt.Rectangle((0, 0), 1, 1, facecolor='none', edgecolor=color,
+                          angle=45, rotation_point=rotation_point))
+
+        if rotation_point == 'center':
+            point = 0.5, 0.5
+        elif rotation_point == 'xy':
+            point = 0, 0
+        else:
+            point = rotation_point
+        ax.plot(point[:1], point[1:], color=color, marker='o')
+
+        label = f'{rotation_point}'
+        if label == 'xy':
+            label += ' (default)'
+        ax.annotate(label, point, color=color,
+                    xytext=(3, 3), textcoords='offset points')
+
+    ax.set_aspect(1)
+    ax.set_title('rotation_point options')
+
+Colors and colormaps
+====================
+
+Color sequence registry
+-----------------------
+
+The color sequence registry, `.ColorSequenceRegistry`, contains sequences
+(i.e., simple lists) of colors that are known to Matplotlib by name. This will
+not normally be used directly, but through the universal instance at
+`matplotlib.color_sequences`.
+
+Colormap method for creating a different lookup table size
+----------------------------------------------------------
+
+The new method `.Colormap.resampled` creates a new `.Colormap` instance
+with the specified lookup table size. This is a replacement for manipulating
+the lookup table size via ``get_cmap``.
+
+Use::
+
+    get_cmap(name).resampled(N)
+
+instead of::
+
+    get_cmap(name, lut=N)
+
+Setting norms with strings
+--------------------------
+
+Norms can now be set (e.g. on images) using the string name of the
+corresponding scale, e.g. ``imshow(array, norm="log")``.  Note that in that
+case, it is permissible to also pass *vmin* and *vmax*, as a new Norm instance
+will be created under the hood.
+
+Titles, ticks, and labels
+=========================
+
+``plt.xticks`` and ``plt.yticks`` support *minor* keyword argument
+------------------------------------------------------------------
+
+It is now possible to set or get minor ticks using `.pyplot.xticks` and
+`.pyplot.yticks` by setting ``minor=True``.
+
+.. plot::
+    :alt: Plot showing a line from 1,2 to 3.5,-0.5. X axis showing the 1, 2 and 3 minor ticks on the x axis as One, Zwei, Trois. 
+    :include-source: true
+
+    plt.figure()
+    plt.plot([1, 2, 3, 3.5], [2, 1, 0, -0.5])
+    plt.xticks([1, 2, 3], ["One", "Zwei", "Trois"])
+    plt.xticks([np.sqrt(2), 2.5, np.pi],
+               [r"$\sqrt{2}$", r"$\frac{5}{2}$", r"$\pi$"], minor=True)
+
+Legends
+=======
+
+Legend can control alignment of title and handles
+-------------------------------------------------
+
+`.Legend` now supports controlling the alignment of the title and handles via
+the keyword argument *alignment*. You can also use `.Legend.set_alignment` to
+control the alignment on existing Legends.
+
+.. plot::
+    :alt: Figure with 3 subplots. All the subplots are titled test. The three subplots have legends titled alignment='left', alignment='center', alignment='right'. The legend texts are respectively aligned left, center and right.
+    :include-source: true
+
+    fig, axs = plt.subplots(3, 1)
+    for i, alignment in enumerate(['left', 'center', 'right']):
+        axs[i].plot(range(10), label='test')
+        axs[i].legend(title=f'{alignment=}', alignment=alignment)
+
+*ncol* keyword argument to ``legend`` renamed to *ncols*
+--------------------------------------------------------
+
+The *ncol* keyword argument to `~.Axes.legend` for controlling the number of
+columns is renamed to *ncols* for consistency with the *ncols* and *nrows*
+keywords of `~.Figure.subplots` and `~.GridSpec`. *ncol* remains supported for
+backwards compatibility, but is discouraged.
+
+Markers
+=======
+
+``marker`` can now be set to the string "none"
+----------------------------------------------
+
+The string "none" means *no-marker*, consistent with other APIs which support
+the lowercase version.  Using "none" is recommended over using "None", to avoid
+confusion with the None object.
+
+Customization of ``MarkerStyle`` join and cap style
+---------------------------------------------------
+
+New `.MarkerStyle` parameters allow control of join style and cap style, and
+for the user to supply a transformation to be applied to the marker (e.g. a
+rotation).
+
+.. plot::
+    :alt: Three rows of markers, columns are blue, green, and purple. First row is y-shaped markers with different capstyles: butt, end is squared off at endpoint; projecting, end is squared off at short distance from endpoint; round, end is rounded. Second row is star-shaped markers with different join styles: miter, star points are sharp triangles; round, star points are rounded; bevel, star points are beveled. Last row shows stars rotated at different angles: small star rotated 0 degrees - top point vertical; medium star rotated 45 degrees - top point tilted right; large star rotated 90 degrees - top point tilted left.
+    :include-source: true
+
+    from matplotlib.markers import CapStyle, JoinStyle, MarkerStyle
+    from matplotlib.transforms import Affine2D
+
+    fig, axs = plt.subplots(3, 1, layout='constrained')
+    for ax in axs:
+        ax.axis('off')
+        ax.set_xlim(-0.5, 2.5)
+
+    axs[0].set_title('Cap styles', fontsize=14)
+    for col, cap in enumerate(CapStyle):
+        axs[0].plot(col, 0, markersize=32, markeredgewidth=8,
+                    marker=MarkerStyle('1', capstyle=cap))
+        # Show the marker edge for comparison with the cap.
+        axs[0].plot(col, 0, markersize=32, markeredgewidth=1,
+                    markerfacecolor='none', markeredgecolor='lightgrey',
+                    marker=MarkerStyle('1'))
+        axs[0].annotate(cap.name, (col, 0),
+                        xytext=(20, -5), textcoords='offset points')
+
+    axs[1].set_title('Join styles', fontsize=14)
+    for col, join in enumerate(JoinStyle):
+        axs[1].plot(col, 0, markersize=32, markeredgewidth=8,
+                    marker=MarkerStyle('*', joinstyle=join))
+        # Show the marker edge for comparison with the join.
+        axs[1].plot(col, 0, markersize=32, markeredgewidth=1,
+                    markerfacecolor='none', markeredgecolor='lightgrey',
+                    marker=MarkerStyle('*'))
+        axs[1].annotate(join.name, (col, 0),
+                        xytext=(20, -5), textcoords='offset points')
+
+    axs[2].set_title('Arbitrary transforms', fontsize=14)
+    for col, (size, rot) in enumerate(zip([2, 5, 7], [0, 45, 90])):
+        t = Affine2D().rotate_deg(rot).scale(size)
+        axs[2].plot(col, 0, marker=MarkerStyle('*', transform=t))
+
+Fonts and Text
+==============
+
+Font fallback
+-------------
+
+It is now possible to specify a list of fonts families and Matplotlib will try
+them in order to locate a required glyph.
+
+.. plot::
+   :caption: Demonstration of mixed English and Chinese text with font fallback.
+   :alt: The phrase "There are 几个汉字 in between!" rendered in various fonts.
+   :include-source: True
+
+   plt.rcParams["font.size"] = 20
+   fig = plt.figure(figsize=(4.75, 1.85))
+
+   text = "There are 几个汉字 in between!"
+   fig.text(0.05, 0.65, text, family=["Noto Sans CJK JP", "Noto Sans TC"])
+   fig.text(0.05, 0.45, text, family=["DejaVu Sans", "Noto Sans CJK JP", "Noto Sans TC"])
+
+This currently works with the Agg (and all of the GUI embeddings), svg, pdf,
+ps, and inline backends.
+
+List of available font names
+----------------------------
+
+The list of available fonts are now easily accessible. To get a list of the
+available font names in Matplotlib use:
+
+.. code-block:: python
+
+    from matplotlib import font_manager
+    font_manager.get_font_names()
+
+``math_to_image`` now has a *color* keyword argument
+----------------------------------------------------
+
+To easily support external libraries that rely on the MathText rendering of
+Matplotlib to generate equation images, a *color* keyword argument was added to
+`~matplotlib.mathtext.math_to_image`.
+
+.. code-block:: python
+
+    from matplotlib import mathtext
+    mathtext.math_to_image('$x^2$', 'filename.png', color='Maroon')
+
+Active URL area rotates with link text
+--------------------------------------
+
+When link text is rotated in a figure, the active URL area will now include the
+rotated link area. Previously, the active area remained in the original,
+non-rotated, position.
+
+rcParams improvements
+=====================
+
+Allow setting figure label size and weight globally and separately from title
+-----------------------------------------------------------------------------
+
+For figure labels, ``Figure.supxlabel`` and ``Figure.supylabel``, the size and
+weight can be set separately from the figure title using :rc:`figure.labelsize`
+and :rc:`figure.labelweight`.
+
+.. plot::
+    :alt: A figure with 4 plots organised in 2 rows and 2 columns. The title of the figure is suptitle in bold and 64 points. The x axis is labelled supxlabel, and y axis is labelled subylabel. Both labels are 32 points and bold.
+    :include-source: true
+
+    # Original (previously combined with below) rcParams:
+    plt.rcParams['figure.titlesize'] = 64
+    plt.rcParams['figure.titleweight'] = 'bold'
+
+    # New rcParams:
+    plt.rcParams['figure.labelsize'] = 32
+    plt.rcParams['figure.labelweight'] = 'bold'
+
+    fig, axs = plt.subplots(2, 2, layout='constrained')
+    for ax in axs.flat:
+        ax.set(xlabel='xlabel', ylabel='ylabel')
+
+    fig.suptitle('suptitle')
+    fig.supxlabel('supxlabel')
+    fig.supylabel('supylabel')
+
+Note that if you have changed :rc:`figure.titlesize` or
+:rc:`figure.titleweight`, you must now also change the introduced parameters
+for a result consistent with past behaviour.
+
+Mathtext parsing can be disabled globally
+-----------------------------------------
+
+The :rc:`text.parse_math` setting may be used to disable parsing of mathtext in
+all `.Text` objects (most notably from the `.Axes.text` method).
+
+Double-quoted strings in matplotlibrc
+-------------------------------------
+
+You can now use double-quotes around strings. This allows using the '#'
+character in strings. Without quotes, '#' is interpreted as start of a comment.
+In particular, you can now define hex-colors:
+
+.. code-block:: none
+
+   grid.color: "#b0b0b0"
+
+3D Axes improvements
+====================
+
+Standardized views for primary plane viewing angles
+---------------------------------------------------
+
+When viewing a 3D plot in one of the primary view planes (i.e., perpendicular
+to the XY, XZ, or YZ planes), the Axis will be displayed in a standard
+location. For further information on 3D views, see
+:ref:`toolkit_mplot3d-view-angles` and :doc:`/gallery/mplot3d/view_planes_3d`.
+
+Custom focal length for 3D camera
+---------------------------------
+
+The 3D Axes can now better mimic real-world cameras by specifying the focal
+length of the virtual camera. The default focal length of 1 corresponds to a
+Field of View (FOV) of 90°, and is backwards-compatible with existing 3D plots.
+An increased focal length between 1 and infinity "flattens" the image, while a
+decreased focal length between 1 and 0 exaggerates the perspective and gives
+the image more apparent depth.
+
+The focal length can be calculated from a desired FOV via the equation:
+
+.. mathmpl::
+
+    focal\_length = 1/\tan(FOV/2)
+
+.. plot::
+    :alt: A figure showing 3 basic 3D Wireframe plots. From left to right, the plots use focal length of 0.2, 1 and infinity. Focal length between 0.2 and 1 produce plot with depth while focal length between 1 and infinity show relatively flattened image.
+    :include-source: true
+
+    from mpl_toolkits.mplot3d import axes3d
+
+    X, Y, Z = axes3d.get_test_data(0.05)
+
+    fig, axs = plt.subplots(1, 3, figsize=(7, 4),
+                            subplot_kw={'projection': '3d'})
+
+    for ax, focal_length in zip(axs, [0.2, 1, np.inf]):
+        ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+        ax.set_proj_type('persp', focal_length=focal_length)
+        ax.set_title(f"{focal_length=}")
+
+3D plots gained a 3rd "roll" viewing angle
+------------------------------------------
+
+3D plots can now be viewed from any orientation with the addition of a 3rd roll
+angle, which rotates the plot about the viewing axis. Interactive rotation
+using the mouse still only controls elevation and azimuth, meaning that this
+feature is relevant to users who create more complex camera angles
+programmatically. The default roll angle of 0 is backwards-compatible with
+existing 3D plots.
+
+.. plot::
+    :alt: View of a wireframe of a 3D contour that is somewhat a thickened s shape. Elevation and azimuth are 0 degrees so the shape is viewed straight on, but tilted because the roll is 30 degrees.
+    :include-source: true
+
+    from mpl_toolkits.mplot3d import axes3d
+
+    X, Y, Z = axes3d.get_test_data(0.05)
+
+    fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
+
+    ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+    ax.view_init(elev=0, azim=0, roll=30)
+    ax.set_title('elev=0, azim=0, roll=30')
+
+Equal aspect ratio for 3D plots
+-------------------------------
+
+Users can set the aspect ratio for the X, Y, Z axes of a 3D plot to be 'equal',
+'equalxy', 'equalxz', or 'equalyz' rather than the default of 'auto'.
+
+.. plot::
+    :alt: Five plots, each showing a different aspect option for a rectangle that has height 4, depth 1, and width 1. auto: none of the dimensions have equal aspect, depth and width form a rectangular and height appears shrunken in proportion. equal: all the dimensions have equal aspect. equalxy: width and depth equal, height not so looks shrunken in proportion. equalyz: depth and height equal, width not so elongated. equalxz: width and height equal, depth not so elongated.
+    :include-source: true
+
+    from itertools import combinations, product
+
+    aspects = [
+        ['auto', 'equal', '.'],
+        ['equalxy', 'equalyz', 'equalxz'],
+    ]
+    fig, axs = plt.subplot_mosaic(aspects, figsize=(7, 6),
+                                  subplot_kw={'projection': '3d'})
+
+    # Draw rectangular cuboid with side lengths [1, 1, 5]
+    r = [0, 1]
+    scale = np.array([1, 1, 5])
+    pts = combinations(np.array(list(product(r, r, r))), 2)
+    for start, end in pts:
+        if np.sum(np.abs(start - end)) == r[1] - r[0]:
+            for ax in axs.values():
+                ax.plot3D(*zip(start*scale, end*scale), color='C0')
+
+    # Set the aspect ratios
+    for aspect, ax in axs.items():
+        ax.set_box_aspect((3, 4, 5))
+        ax.set_aspect(aspect)
+        ax.set_title(f'set_aspect({aspect!r})')
+
+Interactive tool improvements
+=============================
+
+Rotation, aspect ratio correction and add/remove state
+------------------------------------------------------
+
+The `.RectangleSelector` and `.EllipseSelector` can now be rotated
+interactively between -45° and 45°. The range limits are currently dictated by
+the implementation. The rotation is enabled or disabled by striking the *r* key
+('r' is the default key mapped to 'rotate' in *state_modifier_keys*) or by
+calling ``selector.add_state('rotate')``.
+
+The aspect ratio of the axes can now be taken into account when using the
+"square" state. This is enabled by specifying ``use_data_coordinates='True'``
+when the selector is initialized.
+
+In addition to changing selector state interactively using the modifier keys
+defined in *state_modifier_keys*, the selector state can now be changed
+programmatically using the *add_state* and *remove_state* methods.
+
+.. code-block:: python
+
+    from matplotlib.widgets import RectangleSelector
+
+    values = np.arange(0, 100)
+
+    fig = plt.figure()
+    ax = fig.add_subplot()
+    ax.plot(values, values)
+
+    selector = RectangleSelector(ax, print, interactive=True,
+                                 drag_from_anywhere=True,
+                                 use_data_coordinates=True)
+    selector.add_state('rotate')  # alternatively press 'r' key
+    # rotate the selector interactively
+
+    selector.remove_state('rotate')  # alternatively press 'r' key
+
+    selector.add_state('square')
+
+``MultiCursor`` now supports Axes split over multiple figures
+-------------------------------------------------------------
+
+Previously, `.MultiCursor` only worked if all target Axes belonged to the same
+figure.
+
+As a consequence of this change, the first argument to the `.MultiCursor`
+constructor has become unused (it was previously the joint canvas of all Axes,
+but the canvases are now directly inferred from the list of Axes).
+
+``PolygonSelector`` bounding boxes
+----------------------------------
+
+`.PolygonSelector` now has a *draw_bounding_box* argument, which when set to
+`True` will draw a bounding box around the polygon once it is complete. The
+bounding box can be resized and moved, allowing the points of the polygon to be
+easily resized.
+
+Setting ``PolygonSelector`` vertices
+------------------------------------
+
+The vertices of `.PolygonSelector` can now be set programmatically by using the
+`.PolygonSelector.verts` property. Setting the vertices this way will reset the
+selector, and create a new complete selector with the supplied vertices.
+
+``SpanSelector`` widget can now be snapped to specified values
+--------------------------------------------------------------
+
+The `.SpanSelector` widget can now be snapped to values specified by the
+*snap_values* argument.
+
+More toolbar icons are styled for dark themes
+---------------------------------------------
+
+On the macOS and Tk backends, toolbar icons will now be inverted when using a
+dark theme.
+
+Platform-specific changes
+=========================
+
+Wx backend uses standard toolbar
+--------------------------------
+
+Instead of a custom sizer, the toolbar is set on Wx windows as a standard
+toolbar.
+
+Improvements to macosx backend
+------------------------------
+
+Modifier keys handled more consistently
+.......................................
+
+The macosx backend now handles modifier keys in a manner more consistent with
+other backends. See the table in :ref:`event-connections` for further
+information.
+
+``savefig.directory`` rcParam support
+.....................................
+
+The macosx backend will now obey the :rc:`savefig.directory` setting. If set to
+a non-empty string, then the save dialog will default to this directory, and
+preserve subsequent save directories as they are changed.
+
+``figure.raise_window`` rcParam support
+.......................................
+
+The macosx backend will now obey the :rc:`figure.raise_window` setting. If set
+to False, figure windows will not be raised to the top on update.
+
+Full-screen toggle support
+..........................
+
+As supported on other backends, the macosx backend now supports toggling
+fullscreen view. By default, this view can be toggled by pressing the :kbd:`f`
+key.
+
+Improved animation and blitting support
+.......................................
+
+The macosx backend has been improved to fix blitting, animation frames with new
+artists, and to reduce unnecessary draw calls.
+
+macOS application icon applied on Qt backend
+--------------------------------------------
+
+When using the Qt-based backends on macOS, the application icon will now be
+set, as is done on other backends/platforms.
+
+New minimum macOS version
+-------------------------
+
+The macosx backend now requires macOS >= 10.12.
+
+Windows on ARM support
+----------------------
+
+Preliminary support for Windows on arm64 target has been added. This support
+requires FreeType 2.11 or above.
+
+No binary wheels are available yet but it may be built from source.
diff --git a/doc/users/prev_whats_new/whats_new_3.7.0.rst b/doc/users/prev_whats_new/whats_new_3.7.0.rst
new file mode 100644
index 000000000000..1834cbf3726f
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.7.0.rst
@@ -0,0 +1,451 @@
+=============================================
+What's new in Matplotlib 3.7.0 (Feb 13, 2023)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Plotting and Annotation improvements
+====================================
+
+
+``hatch`` parameter for pie
+---------------------------
+
+`~matplotlib.axes.Axes.pie` now accepts a *hatch* keyword that takes as input
+a hatch or list of hatches:
+
+.. plot::
+    :include-source: true
+    :alt: Two pie charts, identified as ax1 and ax2, both have a small blue slice, a medium orange slice, and a large green slice. ax1 has a dot hatching on the small slice, a small open circle hatching on the medium slice, and a large open circle hatching on the large slice. ax2 has the same large open circle with a dot hatch on every slice.
+
+    fig, (ax1, ax2) = plt.subplots(ncols=2)
+    x = [10, 30, 60]
+
+    ax1.pie(x, hatch=['.', 'o', 'O'])
+    ax2.pie(x, hatch='.O')
+
+    ax1.set_title("hatch=['.', 'o', 'O']")
+    ax2.set_title("hatch='.O'")
+
+
+Polar plot errors drawn in polar coordinates
+--------------------------------------------
+Caps and error lines are now drawn with respect to polar coordinates,
+when plotting errorbars on polar plots.
+
+.. figure:: /gallery/pie_and_polar_charts/images/sphx_glr_polar_error_caps_001.png
+   :target: ../../gallery/pie_and_polar_charts/polar_error_caps.html
+
+
+
+Additional format string options in `~matplotlib.axes.Axes.bar_label`
+---------------------------------------------------------------------
+
+The ``fmt`` argument of `~matplotlib.axes.Axes.bar_label` now accepts
+{}-style format strings:
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+
+    fruit_names = ['Coffee', 'Salted Caramel', 'Pistachio']
+    fruit_counts = [4000, 2000, 7000]
+
+    fig, ax = plt.subplots()
+    bar_container = ax.bar(fruit_names, fruit_counts)
+    ax.set(ylabel='pints sold', title='Gelato sales by flavor', ylim=(0, 8000))
+    ax.bar_label(bar_container, fmt='{:,.0f}')
+
+It also accepts callables:
+
+.. plot::
+    :include-source: true
+
+    animal_names = ['Lion', 'Gazelle', 'Cheetah']
+    mph_speed = [50, 60, 75]
+
+    fig, ax = plt.subplots()
+    bar_container = ax.bar(animal_names, mph_speed)
+    ax.set(ylabel='speed in MPH', title='Running speeds', ylim=(0, 80))
+    ax.bar_label(
+        bar_container, fmt=lambda x: '{:.1f} km/h'.format(x * 1.61)
+    )
+
+
+
+``ellipse`` boxstyle option for annotations
+-------------------------------------------
+
+The ``'ellipse'`` option for boxstyle can now be used to create annotations
+with an elliptical outline. It can be used as a closed curve shape for
+longer texts instead of the ``'circle'`` boxstyle which can get quite big.
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    fig, ax = plt.subplots(figsize=(5, 5))
+    t = ax.text(0.5, 0.5, "elliptical box",
+            ha="center", size=15,
+            bbox=dict(boxstyle="ellipse,pad=0.3"))
+
+
+The *extent* of ``imshow`` can now be expressed with units
+----------------------------------------------------------
+The *extent* parameter of `~.axes.Axes.imshow` and  `~.AxesImage.set_extent`
+can now be expressed with units.
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, ax = plt.subplots(layout='constrained')
+    date_first = np.datetime64('2020-01-01', 'D')
+    date_last = np.datetime64('2020-01-11', 'D')
+
+    arr = [[i+j for i in range(10)] for j in range(10)]
+
+    ax.imshow(arr, origin='lower', extent=[0, 10, date_first, date_last])
+
+    plt.show()
+
+Reversed order of legend entries
+--------------------------------
+The order of legend entries can now be reversed by passing ``reverse=True`` to
+`~.Axes.legend`.
+
+
+``pcolormesh`` accepts RGB(A) colors
+------------------------------------
+
+The `~.Axes.pcolormesh` method can now handle explicit colors
+specified with RGB(A) values. To specify colors, the array must be 3D
+with a shape of ``(M, N, [3, 4])``.
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    colors = np.linspace(0, 1, 90).reshape((5, 6, 3))
+    plt.pcolormesh(colors)
+    plt.show()
+
+
+
+
+View current appearance settings for ticks, tick labels, and gridlines
+----------------------------------------------------------------------
+
+The new `~matplotlib.axis.Axis.get_tick_params` method can be used to
+retrieve the appearance settings that will be applied to any
+additional ticks, tick labels, and gridlines added to the plot:
+
+.. code-block:: pycon
+
+    >>> import matplotlib.pyplot as plt
+
+    >>> fig, ax = plt.subplots()
+    >>> ax.yaxis.set_tick_params(labelsize=30, labelcolor='red',
+    ...                          direction='out', which='major')
+    >>> ax.yaxis.get_tick_params(which='major')
+    {'direction': 'out',
+    'left': True,
+    'right': False,
+    'labelleft': True,
+    'labelright': False,
+    'gridOn': False,
+    'labelsize': 30,
+    'labelcolor': 'red'}
+    >>> ax.yaxis.get_tick_params(which='minor')
+    {'left': True,
+    'right': False,
+    'labelleft': True,
+    'labelright': False,
+    'gridOn': False}
+
+
+
+Style files can be imported from third-party packages
+-----------------------------------------------------
+
+Third-party packages can now distribute style files that are globally available
+as follows.  Assume that a package is importable as ``import mypackage``, with
+a ``mypackage/__init__.py`` module.  Then a ``mypackage/presentation.mplstyle``
+style sheet can be used as ``plt.style.use("mypackage.presentation")``.
+
+The implementation does not actually import ``mypackage``, making this process
+safe against possible import-time side effects.  Subpackages (e.g.
+``dotted.package.name``) are also supported.
+
+
+Improvements to 3D Plotting
+===========================
+
+
+3D plot pan and zoom buttons
+----------------------------
+
+The pan and zoom buttons in the toolbar of 3D plots are now enabled.
+Unselect both to rotate the plot. When the zoom button is pressed,
+zoom in by using the left mouse button to draw a bounding box, and
+out by using the right mouse button to draw the box. When zooming a
+3D plot, the current view aspect ratios are kept fixed.
+
+
+*adjustable* keyword argument for setting equal aspect ratios in 3D
+-------------------------------------------------------------------
+
+While setting equal aspect ratios for 3D plots, users can choose to modify
+either the data limits or the bounding box in parity with 2D Axes.
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+    from itertools import combinations, product
+
+    aspects = ('auto', 'equal', 'equalxy', 'equalyz', 'equalxz')
+    fig, axs = plt.subplots(1, len(aspects), subplot_kw={'projection': '3d'},
+                            figsize=(12, 6))
+
+    # Draw rectangular cuboid with side lengths [4, 3, 5]
+    r = [0, 1]
+    scale = np.array([4, 3, 5])
+    pts = combinations(np.array(list(product(r, r, r))), 2)
+    for start, end in pts:
+        if np.sum(np.abs(start - end)) == r[1] - r[0]:
+            for ax in axs:
+                ax.plot3D(*zip(start*scale, end*scale), color='C0')
+
+    # Set the aspect ratios
+    for i, ax in enumerate(axs):
+        ax.set_aspect(aspects[i], adjustable='datalim')
+        # Alternatively: ax.set_aspect(aspects[i], adjustable='box')
+        # which will change the box aspect ratio instead of axis data limits.
+        ax.set_title(f"set_aspect('{aspects[i]}')")
+
+    plt.show()
+
+
+``Poly3DCollection`` supports shading
+-------------------------------------
+
+It is now possible to shade a `.Poly3DCollection`. This is useful if the
+polygons are obtained from e.g. a 3D model.
+
+.. plot::
+    :include-source: true
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from mpl_toolkits.mplot3d.art3d import Poly3DCollection
+
+    # Define 3D shape
+    block = np.array([
+        [[1, 1, 0],
+         [1, 0, 0],
+         [0, 1, 0]],
+        [[1, 1, 0],
+         [1, 1, 1],
+         [1, 0, 0]],
+        [[1, 1, 0],
+         [1, 1, 1],
+         [0, 1, 0]],
+        [[1, 0, 0],
+         [1, 1, 1],
+         [0, 1, 0]]
+    ])
+
+    ax = plt.subplot(projection='3d')
+    pc = Poly3DCollection(block, facecolors='b', shade=True)
+    ax.add_collection(pc)
+    plt.show()
+
+
+
+rcParam for 3D pane color
+-------------------------
+
+The rcParams :rc:`axes3d.xaxis.panecolor`, :rc:`axes3d.yaxis.panecolor`,
+:rc:`axes3d.zaxis.panecolor` can be used to change the color of the background
+panes in 3D plots. Note that it is often beneficial to give them slightly
+different shades to obtain a "3D effect" and to make them slightly transparent
+(alpha < 1).
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    with plt.rc_context({'axes3d.xaxis.panecolor': (0.9, 0.0, 0.0, 0.5),
+                         'axes3d.yaxis.panecolor': (0.7, 0.0, 0.0, 0.5),
+                         'axes3d.zaxis.panecolor': (0.8, 0.0, 0.0, 0.5)}):
+        fig = plt.figure()
+        fig.add_subplot(projection='3d')
+
+
+
+
+Figure and Axes Layout
+======================
+
+``colorbar`` now has a *location* keyword argument
+--------------------------------------------------
+
+The ``colorbar`` method now supports a *location* keyword argument to more
+easily position the color bar. This is useful when providing your own inset
+axes using the *cax* keyword argument and behaves similar to the case where
+axes are not provided (where the *location* keyword is passed through).
+*orientation* and *ticklocation* are no longer required as they are
+determined by *location*. *ticklocation* can still be provided if the
+automatic setting is not preferred. (*orientation* can also be provided but
+must be compatible with the *location*.)
+
+An example is:
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+    rng = np.random.default_rng(19680801)
+    imdata = rng.random((10, 10))
+    fig, ax = plt.subplots(layout='constrained')
+    im = ax.imshow(imdata)
+    fig.colorbar(im, cax=ax.inset_axes([0, 1.05, 1, 0.05]),
+                 location='top')
+
+
+
+Figure legends can be placed outside figures using constrained_layout
+---------------------------------------------------------------------
+Constrained layout will make space for Figure legends if they are specified
+by a *loc* keyword argument that starts with the string "outside". The
+codes are unique from axes codes, in that "outside upper right" will
+make room at the top of the figure for the legend, whereas
+"outside right upper" will make room on the right-hand side of the figure.
+See :ref:`legend_guide` for details.
+
+
+Per-subplot keyword arguments  in ``subplot_mosaic``
+----------------------------------------------------
+
+It is now possible to pass keyword arguments through to Axes creation in each
+specific call to ``add_subplot`` in `.Figure.subplot_mosaic` and
+`.pyplot.subplot_mosaic` :
+
+.. plot::
+   :include-source: true
+
+   fig, axd = plt.subplot_mosaic(
+       "AB;CD",
+       per_subplot_kw={
+           "A": {"projection": "polar"},
+           ("C", "D"): {"xscale": "log"},
+           "B": {"projection": "3d"},
+       },
+   )
+
+
+This is particularly useful for creating mosaics with mixed projections, but
+any keyword arguments can be passed through.
+
+
+``subplot_mosaic`` no longer provisional
+----------------------------------------
+
+The API on `.Figure.subplot_mosaic` and `.pyplot.subplot_mosaic` are now
+considered stable and will change under Matplotlib's normal deprecation
+process.
+
+
+Widget Improvements
+===================
+
+
+Custom styling of button widgets
+--------------------------------
+
+Additional custom styling of button widgets may be achieved via the
+*label_props* and *radio_props* arguments to `.RadioButtons`; and the
+*label_props*, *frame_props*, and *check_props* arguments to `.CheckButtons`.
+
+.. plot::
+   :include-source: true
+
+   from matplotlib.widgets import CheckButtons, RadioButtons
+
+   fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(5, 2), width_ratios=[1, 2])
+   default_rb = RadioButtons(ax[0, 0], ['Apples', 'Oranges'])
+   styled_rb = RadioButtons(ax[0, 1], ['Apples', 'Oranges'],
+                            label_props={'color': ['red', 'orange'],
+                                         'fontsize': [16, 20]},
+                            radio_props={'edgecolor': ['red', 'orange'],
+                                         'facecolor': ['mistyrose', 'peachpuff']})
+
+   default_cb = CheckButtons(ax[1, 0], ['Apples', 'Oranges'],
+                             actives=[True, True])
+   styled_cb = CheckButtons(ax[1, 1], ['Apples', 'Oranges'],
+                            actives=[True, True],
+                            label_props={'color': ['red', 'orange'],
+                                         'fontsize': [16, 20]},
+                            frame_props={'edgecolor': ['red', 'orange'],
+                                         'facecolor': ['mistyrose', 'peachpuff']},
+                            check_props={'color': ['darkred', 'darkorange']})
+
+   ax[0, 0].set_title('Default')
+   ax[0, 1].set_title('Stylized')
+
+
+Blitting in Button widgets
+--------------------------
+
+The `.Button`, `.CheckButtons`, and `.RadioButtons` widgets now support
+blitting for faster rendering, on backends that support it, by passing
+``useblit=True`` to the constructor. Blitting is enabled by default on
+supported backends.
+
+
+Other Improvements
+==================
+
+
+Source links can be shown or hidden for each Sphinx plot directive
+------------------------------------------------------------------
+The :doc:`Sphinx plot directive </api/sphinxext_plot_directive_api>`
+(``.. plot::``) now supports a ``:show-source-link:`` option to show or hide
+the link to the source code for each plot. The default is set using the
+``plot_html_show_source_link`` variable in :file:`conf.py` (which
+defaults to True).
+
+
+
+Figure hooks
+------------
+
+The new :rc:`figure.hooks` provides a mechanism to register
+arbitrary customizations on pyplot figures; it is a list of
+"dotted.module.name:dotted.callable.name" strings specifying functions
+that are called on each figure created by `.pyplot.figure`; these
+functions can e.g. attach callbacks or modify the toolbar.  See
+:doc:`/gallery/user_interfaces/mplcvd` for an example of toolbar customization.
+
+
+New & Improved Narrative Documentation
+======================================
+* Brand new :ref:`Animations <animations>` tutorial.
+* New grouped and stacked `bar chart <../../gallery/index.html#lines_bars_and_markers>`_ examples.
+* New section for new contributors and reorganized git instructions in the :ref:`contributing guide<contributing>`.
+* Restructured :ref:`annotations` tutorial.
diff --git a/doc/users/prev_whats_new/whats_new_3.8.0.rst b/doc/users/prev_whats_new/whats_new_3.8.0.rst
new file mode 100644
index 000000000000..88f987172adb
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.8.0.rst
@@ -0,0 +1,529 @@
+==============================================
+What's new in Matplotlib 3.8.0 (Sept 13, 2023)
+==============================================
+
+For a list of all of the issues and pull requests since the last revision, see
+the :ref:`github-stats`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Type Hints
+==========
+
+Matplotlib now provides first-party PEP484 style type hints files for most public APIs.
+
+While still considered provisional and subject to change (and sometimes we are not
+quite able to fully specify what we would like to), they should provide a reasonable
+basis to type check many common usage patterns, as well as integrating with many
+editors/IDEs.
+
+Plotting and Annotation improvements
+====================================
+
+Support customizing antialiasing for text and annotation
+--------------------------------------------------------
+``matplotlib.pyplot.annotate()`` and ``matplotlib.pyplot.text()`` now support parameter *antialiased*.
+When *antialiased* is set to ``True``, antialiasing will be applied to the text.
+When *antialiased* is set to ``False``, antialiasing will not be applied to the text.
+When *antialiased* is not specified, antialiasing will be set by :rc:`text.antialiased` at the creation time of ``Text`` and ``Annotation`` object.
+Examples:
+
+.. code-block:: python
+
+    mpl.text.Text(.5, .5, "foo\nbar", antialiased=True)
+    plt.text(0.5, 0.5, '6 inches x 2 inches', antialiased=True)
+    ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5), antialiased=False)
+
+If the text contains math expression, *antialiased* applies to the whole text.
+Examples:
+
+.. code-block:: python
+
+    # no part will be antialiased for the text below
+    plt.text(0.5, 0.25, r"$I'm \sqrt{x}$", antialiased=False)
+
+Also note that antialiasing for tick labels will be set with :rc:`text.antialiased` when they are created (usually when a ``Figure`` is created) and cannot be changed afterwards.
+
+Furthermore, with this new feature, you may want to make sure that you are creating and saving/showing the figure under the same context::
+
+    # previously this was a no-op, now it is what works
+    with rccontext(text.antialiased=False):
+        fig, ax = plt.subplots()
+        ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5))
+        fig.savefig('/tmp/test.png')
+
+
+    # previously this had an effect, now this is a no-op
+    fig, ax = plt.subplots()
+    ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5))
+    with rccontext(text.antialiased=False):
+        fig.savefig('/tmp/test.png')
+
+rcParams for ``AutoMinorLocator`` divisions
+-------------------------------------------
+The rcParams :rc:`xtick.minor.ndivs` and :rc:`ytick.minor.ndivs` have been
+added to enable setting the default number of divisions; if set to ``auto``,
+the number of divisions will be chosen by the distance between major ticks.
+
+Axline setters and getters
+--------------------------
+
+The returned object from `.axes.Axes.axline` now supports getter and setter
+methods for its *xy1*, *xy2* and *slope* attributes:
+
+.. code-block:: python
+
+    line1.get_xy1()
+    line1.get_slope()
+    line2.get_xy2()
+
+.. code-block:: python
+
+    line1.set_xy1(.2, .3)
+    line1.set_slope(2.4)
+    line2.set_xy2(.1, .6)
+
+Clipping for contour plots
+--------------------------
+
+`~.Axes.contour` and `~.Axes.contourf` now accept the *clip_path* parameter.
+
+.. plot::
+    :include-source: true
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    import matplotlib.patches as mpatches
+
+    x = y = np.arange(-3.0, 3.01, 0.025)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    fig, ax = plt.subplots()
+    patch = mpatches.RegularPolygon((0, 0), 5, radius=2,
+                                    transform=ax.transData)
+    ax.contourf(X, Y, Z, clip_path=patch)
+
+    plt.show()
+
+``Axes.ecdf``
+-------------
+A new Axes method, `~.Axes.ecdf`, allows plotting empirical cumulative
+distribution functions without any binning.
+
+.. plot::
+   :include-source:
+
+   import matplotlib.pyplot as plt
+   import numpy as np
+
+   fig, ax = plt.subplots()
+   ax.ecdf(np.random.randn(100))
+
+``Figure.get_suptitle()``, ``Figure.get_supxlabel()``, ``Figure.get_supylabel()``
+---------------------------------------------------------------------------------
+These methods return the strings set by ``Figure.suptitle()``, ``Figure.supxlabel()``
+and ``Figure.supylabel()`` respectively.
+
+``Ellipse.get_vertices()``, ``Ellipse.get_co_vertices()``
+---------------------------------------------------------------------------------
+These methods return the coordinates of ellipse vertices of
+major and minor axis. Additionally, an example gallery demo is added which
+shows how to add an arrow to an ellipse showing a clockwise or counter-clockwise
+rotation of the ellipse. To place the arrow exactly on the ellipse,
+the coordinates of the vertices are used.
+
+Remove inner ticks in ``label_outer()``
+---------------------------------------
+Up to now, ``label_outer()`` has only removed the ticklabels. The ticks lines
+were left visible. This is now configurable through a new parameter
+``label_outer(remove_inner_ticks=True)``.
+
+
+.. plot::
+   :include-source: true
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    x = np.linspace(0, 2 * np.pi, 100)
+
+    fig, axs = plt.subplots(2, 2, sharex=True, sharey=True,
+                            gridspec_kw=dict(hspace=0, wspace=0))
+
+    axs[0, 0].plot(x, np.sin(x))
+    axs[0, 1].plot(x, np.cos(x))
+    axs[1, 0].plot(x, -np.cos(x))
+    axs[1, 1].plot(x, -np.sin(x))
+
+    for ax in axs.flat:
+        ax.grid(color='0.9')
+        ax.label_outer(remove_inner_ticks=True)
+
+Configurable legend shadows
+---------------------------
+The *shadow* parameter of legends now accepts dicts in addition to booleans.
+Dictionaries can contain any keywords for `.patches.Patch`.
+For example, this allows one to set the color and/or the transparency of a legend shadow:
+
+.. code-block:: python
+
+   ax.legend(loc='center left', shadow={'color': 'red', 'alpha': 0.5})
+
+and to control the shadow location:
+
+.. code-block:: python
+
+   ax.legend(loc='center left', shadow={"ox":20, "oy":-20})
+
+Configuration is currently not supported via :rc:`legend.shadow`.
+
+
+``offset`` parameter for MultipleLocator
+----------------------------------------
+
+An *offset* may now be specified to shift all the ticks by the given value.
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    import matplotlib.ticker as mticker
+
+    _, ax = plt.subplots()
+    ax.plot(range(10))
+    locator = mticker.MultipleLocator(base=3, offset=0.3)
+    ax.xaxis.set_major_locator(locator)
+
+    plt.show()
+
+Add a new valid color format ``(matplotlib_color, alpha)``
+----------------------------------------------------------
+
+
+.. plot::
+    :include-source: true
+
+    import matplotlib.pyplot as plt
+    from matplotlib.patches import Rectangle
+
+    fig, ax = plt.subplots()
+
+    rectangle = Rectangle((.2, .2), .6, .6,
+                          facecolor=('blue', 0.2),
+                          edgecolor=('green', 0.5))
+    ax.add_patch(rectangle)
+
+
+Users can define a color using the new color specification, *(matplotlib_color, alpha)*.
+Note that an explicit alpha keyword argument will override an alpha value from
+*(matplotlib_color, alpha)*.
+
+The pie chart shadow can be controlled
+--------------------------------------
+
+The *shadow* argument to `~.Axes.pie` can now be a dict, allowing more control
+of the `.Shadow`-patch used.
+
+
+``PolyQuadMesh`` is a new class for drawing quadrilateral meshes
+----------------------------------------------------------------
+
+`~.Axes.pcolor` previously returned a flattened `.PolyCollection` with only
+the valid polygons (unmasked) contained within it. Now, we return a `.PolyQuadMesh`,
+which is a mixin incorporating the usefulness of 2D array and mesh coordinates
+handling, but still inheriting the draw methods of `.PolyCollection`, which enables
+more control over the rendering properties than a normal `.QuadMesh` that is
+returned from `~.Axes.pcolormesh`. The new class subclasses `.PolyCollection` and thus
+should still behave the same as before. This new class keeps track of the mask for
+the user and updates the Polygons that are sent to the renderer appropriately.
+
+.. plot::
+
+    arr = np.arange(12).reshape((3, 4))
+
+    fig, ax = plt.subplots()
+    pc = ax.pcolor(arr)
+
+    # Mask one element and show that the hatch is also not drawn
+    # over that region
+    pc.set_array(np.ma.masked_equal(arr, 5))
+    pc.set_hatch('//')
+
+    plt.show()
+
+Shadow shade can be controlled
+------------------------------
+
+The `.Shadow` patch now has a *shade* argument to control the shadow darkness.
+If 1, the shadow is black, if 0, the shadow has the same color as the patch that
+is shadowed. The default value, which earlier was fixed, is 0.7.
+
+``SpinesProxy`` now supports calling the ``set()`` method
+---------------------------------------------------------
+One can now call e.g. ``ax.spines[:].set(visible=False)``.
+
+Allow setting the tick label fonts with a keyword argument
+----------------------------------------------------------
+``Axes.tick_params`` now accepts a *labelfontfamily* keyword that changes the tick
+label font separately from the rest of the text objects:
+
+.. code-block:: python
+
+    Axis.tick_params(labelfontfamily='monospace')
+
+
+Figure, Axes, and Legend Layout
+===============================
+
+pad_inches="layout" for savefig
+-------------------------------
+
+When using constrained or compressed layout,
+
+.. code-block:: python
+
+    savefig(filename, bbox_inches="tight", pad_inches="layout")
+
+will now use the padding sizes defined on the layout engine.
+
+Add a public method to modify the location of ``Legend``
+--------------------------------------------------------
+
+`~matplotlib.legend.Legend` locations now can be tweaked after they've been defined.
+
+.. plot::
+    :include-source: true
+
+    from matplotlib import pyplot as plt
+
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1)
+
+    x = list(range(-100, 101))
+    y = [i**2 for i in x]
+
+    ax.plot(x, y, label="f(x)")
+    ax.legend()
+    ax.get_legend().set_loc("right")
+    # Or
+    # ax.get_legend().set(loc="right")
+
+    plt.show()
+
+
+``rcParams['legend.loc']`` now accepts float-tuple inputs
+---------------------------------------------------------
+
+The :rc:`legend.loc` rcParams now accepts float-tuple inputs, same as the *loc* keyword argument to `.Legend`.
+This allows users to set the location of the legend in a more flexible and consistent way.
+
+Mathtext improvements
+=====================
+
+Improvements are to Mathtext, Matplotlib's native TeX-like mathematics parser
+(see :ref:`mathtext`, not to be confused with Matplotlib using LaTeX directly:
+:ref:`usetex`).
+
+Boldsymbol mathtext command ``\boldsymbol``
+-------------------------------------------
+
+Supports using the ``\boldsymbol{}`` command in mathtext:
+
+To change symbols to bold enclose the text in a font command as
+shown:
+
+.. code-block:: none
+
+    r'$\boldsymbol{a+2+\alpha}$'
+
+.. math::
+   \boldsymbol{a+2+\alpha}
+
+``mathtext`` has more sizable delimiters
+----------------------------------------
+
+The ``\lgroup`` and ``\rgroup`` sizable delimiters have been added.
+
+The following delimiter names have been supported earlier, but can now be sized with
+``\left`` and ``\right``:
+
+* ``\lbrace``, ``\rbrace``, ``\leftbrace``, and ``\rightbrace``
+* ``\lbrack`` and ``\rbrack``
+* ``\leftparen`` and ``\rightparen``
+
+There are really no obvious advantages in using these.
+Instead, they are are added for completeness.
+
+``mathtext`` documentation improvements
+---------------------------------------
+
+The documentation is updated to take information directly from the parser. This
+means that (almost) all supported symbols, operators etc are shown at :ref:`mathtext`.
+
+``mathtext`` now supports ``\substack``
+---------------------------------------
+
+``\substack`` can be used to create multi-line subscripts or superscripts within an equation.
+
+To use it to enclose the math in a substack command as shown:
+
+.. code-block:: none
+
+    r'$\sum_{\substack{1\leq i\leq 3\\ 1\leq j\leq 5}}$'
+
+.. mathmpl::
+
+    \sum_{\substack{1\leq i\leq 3\\ 1\leq j\leq 5}}
+
+
+
+``mathtext`` now supports ``\middle`` delimiter
+-----------------------------------------------
+
+The ``\middle`` delimiter has been added, and can now be used with the
+``\left`` and ``\right`` delimiters:
+
+To use the middle command enclose it in between the ``\left`` and
+``\right`` delimiter command as shown:
+
+.. code-block:: none
+
+    r'$\left( \frac{a}{b} \middle| q \right)$'
+
+.. mathmpl::
+
+    \left( \frac{a}{b} \middle| q \right)
+
+``mathtext`` operators
+----------------------
+
+There has been a number of operators added and corrected when a Unicode font is used.
+In addition, correct spacing has been added to a number of the previous operators.
+Especially, the characters used for ``\gnapprox``, ``\lnapprox``, ``\leftangle``, and
+``\rightangle`` have been corrected.
+
+``mathtext`` spacing corrections
+--------------------------------
+
+As consequence of the updated documentation, the spacing on a number of relational and
+operator symbols were classified like that and therefore will be spaced properly.
+
+``mathtext`` now supports ``\text``
+-----------------------------------
+
+``\text`` can be used to obtain upright text within an equation and to get a plain dash
+(-).
+
+.. plot::
+    :include-source: true
+    :alt: Illustration of the newly added \text command, showing that it renders as normal text, including spaces, despite being part of an equation. Also show that a dash is not rendered as a minus when part of a \text command.
+
+    import matplotlib.pyplot as plt
+    plt.text(0.1, 0.5, r"$a = \sin(\phi) \text{ such that } \phi = \frac{x}{y}$")
+    plt.text(0.1, 0.3, r"$\text{dashes (-) are retained}$")
+
+
+Bold-italic mathtext command ``\mathbfit``
+------------------------------------------
+
+Supports use of bold-italic font style in mathtext using the ``\mathbfit{}`` command:
+
+To change font to bold and italic enclose the text in a font command as
+shown:
+
+.. code-block:: none
+
+    r'$\mathbfit{\eta \leq C(\delta(\eta))}$
+
+.. math::
+   \mathbfit{\eta \leq C(\delta(\eta))}
+
+
+3D plotting improvements
+========================
+
+Specify ticks and axis label positions for 3D plots
+---------------------------------------------------
+
+You can now specify the positions of ticks and axis labels for 3D plots.
+
+.. plot::
+   :include-source:
+
+   import matplotlib.pyplot as plt
+
+   positions = ['lower', 'upper', 'default', 'both', 'none']
+   fig, axs = plt.subplots(2, 3, figsize=(12, 8),
+                           subplot_kw={'projection': '3d'})
+   for ax, pos in zip(axs.flatten(), positions):
+       for axis in ax.xaxis, ax.yaxis, ax.zaxis:
+           axis.set_label_position(pos)
+           axis.set_ticks_position(pos)
+       title = f'position="{pos}"'
+       ax.set(xlabel='x', ylabel='y', zlabel='z', title=title)
+   axs[1, 2].axis('off')
+
+3D hover coordinates
+--------------------
+
+The x, y, z coordinates displayed in 3D plots were previously showing
+nonsensical values. This has been fixed to report the coordinate on the view
+pane directly beneath the mouse cursor. This is likely to be most useful when
+viewing 3D plots along a primary axis direction when using an orthographic
+projection, or when a 2D plot has been projected onto one of the 3D axis panes.
+Note that there is still no way to directly display the coordinates of plotted
+data points.
+
+3D plots can share view angles
+------------------------------
+
+3D plots can now share the same view angles, so that when you rotate one plot
+the other plots also rotate. This can be done with the *shareview* keyword
+argument when adding an axes, or by using the *ax1.shareview(ax2)* method of
+existing 3D axes.
+
+
+Other improvements
+==================
+
+macosx: New figures can be opened in either windows or tabs
+-----------------------------------------------------------
+
+There is a new :rc:`macosx.window_mode` rcParam to control how
+new figures are opened with the macosx backend. The default is
+**system** which uses the system settings, or one can specify either
+**tab** or **window** to explicitly choose the mode used to open new figures.
+
+``matplotlib.mpl_toolkits`` is now an implicit namespace package
+----------------------------------------------------------------
+
+Following the deprecation of ``pkg_resources.declare_namespace`` in ``setuptools`` 67.3.0,
+``matplotlib.mpl_toolkits`` is now implemented as an implicit namespace, following
+`PEP 420 <https://peps.python.org/pep-0420/>`_.
+
+Plot Directive now can make responsive images with "srcset"
+-----------------------------------------------------------
+
+The plot sphinx directive (``matplotlib.sphinxext.plot_directive``, invoked in
+rst as ``.. plot::``) can be configured to automatically make higher res
+figures and add these to the the built html docs.  In ``conf.py``::
+
+    extensions = [
+    ...
+        'matplotlib.sphinxext.plot_directive',
+        'matplotlib.sphinxext.figmpl_directive',
+    ...]
+
+    plot_srcset = ['2x']
+
+will make png files with double the resolution for hiDPI displays.  Resulting
+html files will have image entries like::
+
+    <img src="../_images/nestedpage-index-2.png" style="" srcset="../_images/nestedpage-index-2.png, ../_images/nestedpage-index-2.2x.png 2.00x" alt="" class="plot-directive "/>
diff --git a/doc/users/prev_whats_new/whats_new_3.9.0.rst b/doc/users/prev_whats_new/whats_new_3.9.0.rst
new file mode 100644
index 000000000000..85fabf86efbe
--- /dev/null
+++ b/doc/users/prev_whats_new/whats_new_3.9.0.rst
@@ -0,0 +1,409 @@
+=============================================
+What's new in Matplotlib 3.9.0 (May 15, 2024)
+=============================================
+
+For a list of all of the issues and pull requests since the last revision, see the
+:ref:`github-stats-3-9-0`.
+
+.. contents:: Table of Contents
+   :depth: 4
+
+.. toctree::
+   :maxdepth: 4
+
+Plotting and Annotation improvements
+====================================
+
+``Axes.inset_axes`` is no longer experimental
+---------------------------------------------
+
+`.Axes.inset_axes` is considered stable for use.
+
+Legend support for Boxplot
+--------------------------
+
+Boxplots now support a *label* parameter to create legend entries. Legend labels can be
+passed as a list of strings to label multiple boxes in a single `.Axes.boxplot` call:
+
+.. plot::
+    :include-source:
+    :alt: Example of creating 3 boxplots and assigning legend labels as a sequence.
+
+    np.random.seed(19680801)
+    fruit_weights = [
+        np.random.normal(130, 10, size=100),
+        np.random.normal(125, 20, size=100),
+        np.random.normal(120, 30, size=100),
+    ]
+    labels = ['peaches', 'oranges', 'tomatoes']
+    colors = ['peachpuff', 'orange', 'tomato']
+
+    fig, ax = plt.subplots()
+    ax.set_ylabel('fruit weight (g)')
+
+    bplot = ax.boxplot(fruit_weights,
+                       patch_artist=True,  # fill with color
+                       label=labels)
+
+    # fill with colors
+    for patch, color in zip(bplot['boxes'], colors):
+        patch.set_facecolor(color)
+
+    ax.set_xticks([])
+    ax.legend()
+
+
+Or as a single string to each individual `.Axes.boxplot`:
+
+.. plot::
+    :include-source:
+    :alt: Example of creating 2 boxplots and assigning each legend label as a string.
+
+    fig, ax = plt.subplots()
+
+    data_A = np.random.random((100, 3))
+    data_B = np.random.random((100, 3)) + 0.2
+    pos = np.arange(3)
+
+    ax.boxplot(data_A, positions=pos - 0.2, patch_artist=True, label='Box A',
+               boxprops={'facecolor': 'steelblue'})
+    ax.boxplot(data_B, positions=pos + 0.2, patch_artist=True, label='Box B',
+               boxprops={'facecolor': 'lightblue'})
+
+    ax.legend()
+
+Percent sign in pie labels auto-escaped with ``usetex=True``
+------------------------------------------------------------
+
+It is common, with `.Axes.pie`, to specify labels that include a percent sign (``%``),
+which denotes a comment for LaTeX. When enabling LaTeX with :rc:`text.usetex` or passing
+``textprops={"usetex": True}``, this used to cause the percent sign to disappear.
+
+Now, the percent sign is automatically escaped (by adding a preceding backslash) so that
+it appears regardless of the ``usetex`` setting. If you have pre-escaped the percent
+sign, this will be detected, and remain as is.
+
+``hatch`` parameter for stackplot
+---------------------------------
+
+The `~.Axes.stackplot` *hatch* parameter now accepts a list of strings describing
+hatching styles that will be applied sequentially to the layers in the stack:
+
+.. plot::
+    :include-source:
+    :alt: Two charts, identified as ax1 and ax2, showing "stackplots", i.e. one-dimensional distributions of data stacked on top of one another. The first plot, ax1 has cross-hatching on all slices, having been given a single string as the "hatch" argument. The second plot, ax2 has different styles of hatching on each slice - diagonal hatching in opposite directions on the first two slices, cross-hatching on the third slice, and open circles on the fourth.
+
+    fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(10,5))
+
+    cols = 10
+    rows = 4
+    data = (
+    np.reshape(np.arange(0, cols, 1), (1, -1)) ** 2
+    + np.reshape(np.arange(0, rows), (-1, 1))
+    + np.random.random((rows, cols))*5
+    )
+    x = range(data.shape[1])
+    ax1.stackplot(x, data, hatch="x")
+    ax2.stackplot(x, data, hatch=["//","\\","x","o"])
+
+    ax1.set_title("hatch='x'")
+    ax2.set_title("hatch=['//','\\\\','x','o']")
+
+    plt.show()
+
+Add option to plot only one half of violin plot
+-----------------------------------------------
+
+Setting the parameter *side* to 'low' or 'high' allows to only plot one half of the
+`.Axes.violinplot`.
+
+.. plot::
+    :include-source:
+    :alt: Three copies of a vertical violin plot; first in blue showing the default of both sides, followed by an orange copy that only shows the "low" (or left, in this case) side, and finally a green copy that only shows the "high" (or right) side.
+
+    # Fake data with reproducible random state.
+    np.random.seed(19680801)
+    data = np.random.normal(0, 8, size=100)
+
+    fig, ax = plt.subplots()
+
+    ax.violinplot(data, [0], showmeans=True, showextrema=True)
+    ax.violinplot(data, [1], showmeans=True, showextrema=True, side='low')
+    ax.violinplot(data, [2], showmeans=True, showextrema=True, side='high')
+
+    ax.set_title('Violin Sides Example')
+    ax.set_xticks([0, 1, 2], ['Default', 'side="low"', 'side="high"'])
+    ax.set_yticklabels([])
+
+``axhline`` and ``axhspan`` on polar axes
+-----------------------------------------
+
+... now draw circles and circular arcs (`~.Axes.axhline`) or annuli and wedges
+(`~.Axes.axhspan`).
+
+.. plot::
+    :include-source:
+    :alt: A sample polar plot, that contains an axhline at radius 1, an axhspan annulus between radius 0.8 and 0.9, and an axhspan wedge between radius 0.6 and 0.7 and 288° and 324°.
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection="polar")
+    ax.set_rlim(0, 1.2)
+
+    ax.axhline(1, c="C0", alpha=.5)
+    ax.axhspan(.8, .9, fc="C1", alpha=.5)
+    ax.axhspan(.6, .7, .8, .9, fc="C2", alpha=.5)
+
+Subplot titles can now be automatically aligned
+-----------------------------------------------
+
+Subplot axes titles can be misaligned vertically if tick labels or xlabels are placed at
+the top of one subplot. The new `~.Figure.align_titles` method on the `.Figure` class
+will now align the titles vertically.
+
+.. plot::
+    :include-source:
+    :alt: A figure with two Axes side-by-side, the second of which with ticks on top. The Axes titles and x-labels appear unaligned with each other due to these ticks.
+
+    fig, axs = plt.subplots(1, 2, layout='constrained')
+
+    axs[0].plot(np.arange(0, 1e6, 1000))
+    axs[0].set_title('Title 0')
+    axs[0].set_xlabel('XLabel 0')
+
+    axs[1].plot(np.arange(1, 0, -0.1) * 2000, np.arange(1, 0, -0.1))
+    axs[1].set_title('Title 1')
+    axs[1].set_xlabel('XLabel 1')
+    axs[1].xaxis.tick_top()
+    axs[1].tick_params(axis='x', rotation=55)
+
+.. plot::
+    :include-source:
+    :alt: A figure with two Axes side-by-side, the second of which with ticks on top. Unlike the previous figure, the Axes titles and x-labels appear aligned.
+
+    fig, axs = plt.subplots(1, 2, layout='constrained')
+
+    axs[0].plot(np.arange(0, 1e6, 1000))
+    axs[0].set_title('Title 0')
+    axs[0].set_xlabel('XLabel 0')
+
+    axs[1].plot(np.arange(1, 0, -0.1) * 2000, np.arange(1, 0, -0.1))
+    axs[1].set_title('Title 1')
+    axs[1].set_xlabel('XLabel 1')
+    axs[1].xaxis.tick_top()
+    axs[1].tick_params(axis='x', rotation=55)
+
+    fig.align_labels()
+    fig.align_titles()
+
+``axisartist`` can now be used together with standard ``Formatters``
+--------------------------------------------------------------------
+
+... instead of being limited to axisartist-specific ones.
+
+Toggle minorticks on Axis
+-------------------------
+
+Minor ticks on an `~matplotlib.axis.Axis` can be displayed or removed using
+`~matplotlib.axis.Axis.minorticks_on` and `~matplotlib.axis.Axis.minorticks_off`; e.g.,
+``ax.xaxis.minorticks_on()``. See also `~matplotlib.axes.Axes.minorticks_on`.
+
+``StrMethodFormatter`` now respects ``axes.unicode_minus``
+----------------------------------------------------------
+
+When formatting negative values, `.StrMethodFormatter` will now use unicode minus signs
+if :rc:`axes.unicode_minus` is set.
+
+    >>> from matplotlib.ticker import StrMethodFormatter
+    >>> with plt.rc_context({'axes.unicode_minus': False}):
+    ...     formatter = StrMethodFormatter('{x}')
+    ...     print(formatter.format_data(-10))
+    -10
+
+    >>> with plt.rc_context({'axes.unicode_minus': True}):
+    ...     formatter = StrMethodFormatter('{x}')
+    ...     print(formatter.format_data(-10))
+    −10
+
+Figure, Axes, and Legend Layout
+===============================
+
+Subfigures now have controllable zorders
+----------------------------------------
+
+Previously, setting the zorder of a subfigure had no effect, and those were plotted on
+top of any figure-level artists (i.e for example on top of fig-level legends). Now,
+subfigures behave like any other artists, and their zorder can be controlled, with
+default a zorder of 0.
+
+.. plot::
+    :include-source:
+    :alt: Example on controlling the zorder of a subfigure
+
+    x = np.linspace(1, 10, 10)
+    y1, y2 = x, -x
+    fig = plt.figure(constrained_layout=True)
+    subfigs = fig.subfigures(nrows=1, ncols=2)
+    for subfig in subfigs:
+        axarr = subfig.subplots(2, 1)
+        for ax in axarr.flatten():
+            (l1,) = ax.plot(x, y1, label="line1")
+            (l2,) = ax.plot(x, y2, label="line2")
+    subfigs[0].set_zorder(6)
+    l = fig.legend(handles=[l1, l2], loc="upper center", ncol=2)
+
+Getters for xmargin, ymargin and zmargin
+----------------------------------------
+
+`.Axes.get_xmargin`, `.Axes.get_ymargin` and `.Axes3D.get_zmargin` methods have been
+added to return the margin values set by `.Axes.set_xmargin`, `.Axes.set_ymargin` and
+`.Axes3D.set_zmargin`, respectively.
+
+Mathtext improvements
+=====================
+
+``mathtext`` documentation improvements
+---------------------------------------
+
+The documentation is updated to take information directly from the parser. This means
+that (almost) all supported symbols, operators, etc. are shown at :ref:`mathtext`.
+
+``mathtext`` spacing corrections
+--------------------------------
+
+As consequence of the updated documentation, the spacing on a number of relational and
+operator symbols were correctly classified and therefore will be spaced properly.
+
+Widget Improvements
+===================
+
+Check and Radio Button widgets support clearing
+-----------------------------------------------
+
+The `.CheckButtons` and `.RadioButtons` widgets now support clearing their state by
+calling their ``.clear`` method. Note that it is not possible to have no selected radio
+buttons, so the selected option at construction time is selected.
+
+3D plotting improvements
+========================
+
+Setting 3D axis limits now set the limits exactly
+-------------------------------------------------
+
+Previously, setting the limits of a 3D axis would always add a small margin to the
+limits. Limits are now set exactly by default. The newly introduced rcparam
+``axes3d.automargin`` can be used to revert to the old behavior where margin is
+automatically added.
+
+.. plot::
+    :include-source:
+    :alt: Example of the new behavior of 3D axis limits, and how setting the rcParam reverts to the old behavior.
+
+    fig, axs = plt.subplots(1, 2, subplot_kw={'projection': '3d'})
+
+    plt.rcParams['axes3d.automargin'] = True
+    axs[0].set(xlim=(0, 1), ylim=(0, 1), zlim=(0, 1), title='Old Behavior')
+
+    plt.rcParams['axes3d.automargin'] = False  # the default in 3.9.0
+    axs[1].set(xlim=(0, 1), ylim=(0, 1), zlim=(0, 1), title='New Behavior')
+
+Other improvements
+==================
+
+BackendRegistry
+---------------
+
+New :class:`~matplotlib.backends.registry.BackendRegistry` class is the single source of
+truth for available backends. The singleton instance is
+``matplotlib.backends.backend_registry``. It is used internally by Matplotlib, and also
+IPython (and therefore Jupyter) starting with IPython 8.24.0.
+
+There are three sources of backends: built-in (source code is within the Matplotlib
+repository), explicit ``module://some.backend`` syntax (backend is obtained by loading
+the module), or via an entry point (self-registering backend in an external package).
+
+To obtain a list of all registered backends use:
+
+    >>> from matplotlib.backends import backend_registry
+    >>> backend_registry.list_all()
+
+Add ``widths``, ``heights`` and ``angles`` setter to ``EllipseCollection``
+--------------------------------------------------------------------------
+
+The ``widths``, ``heights`` and ``angles`` values of the
+`~matplotlib.collections.EllipseCollection` can now be changed after the collection has
+been created.
+
+.. plot::
+    :include-source:
+
+    from matplotlib.collections import EllipseCollection
+
+    rng = np.random.default_rng(0)
+
+    widths = (2, )
+    heights = (3, )
+    angles = (45, )
+    offsets = rng.random((10, 2)) * 10
+
+    fig, ax = plt.subplots()
+
+    ec = EllipseCollection(
+        widths=widths,
+        heights=heights,
+        angles=angles,
+        offsets=offsets,
+        units='x',
+        offset_transform=ax.transData,
+        )
+
+    ax.add_collection(ec)
+    ax.set_xlim(-2, 12)
+    ax.set_ylim(-2, 12)
+
+    new_widths = rng.random((10, 2)) * 2
+    new_heights = rng.random((10, 2)) * 3
+    new_angles = rng.random((10, 2)) * 180
+
+    ec.set(widths=new_widths, heights=new_heights, angles=new_angles)
+
+``image.interpolation_stage`` rcParam
+-------------------------------------
+
+This new rcParam controls whether image interpolation occurs in "data" space or in
+"rgba" space.
+
+Arrow patch position is now modifiable
+--------------------------------------
+
+A setter method has been added that allows updating the position of the `.patches.Arrow`
+object without requiring a full re-draw.
+
+.. plot::
+    :include-source:
+    :alt: Example of changing the position of the arrow with the new ``set_data`` method.
+
+    from matplotlib import animation
+    from matplotlib.patches import Arrow
+
+    fig, ax = plt.subplots()
+    ax.set_xlim(0, 10)
+    ax.set_ylim(0, 10)
+
+    a = Arrow(2, 0, 0, 10)
+    ax.add_patch(a)
+
+
+    # code for modifying the arrow
+    def update(i):
+        a.set_data(x=.5, dx=i, dy=6, width=2)
+
+
+    ani = animation.FuncAnimation(fig, update, frames=15, interval=90, blit=False)
+
+    plt.show()
+
+NonUniformImage now has mouseover support
+-----------------------------------------
+
+When mousing over a `~matplotlib.image.NonUniformImage`, the data values are now
+displayed.
diff --git a/doc/users/pyplot_tutorial.rst b/doc/users/pyplot_tutorial.rst
deleted file mode 100644
index b9db95e56ec8..000000000000
--- a/doc/users/pyplot_tutorial.rst
+++ /dev/null
@@ -1,282 +0,0 @@
-.. _pyplot-tutorial:
-
-***************
-Pyplot tutorial
-***************
-
-:mod:`matplotlib.pyplot` is a collection of command style functions
-that make matplotlib  work like MATLAB.
-Each ``pyplot`` function makes
-some change to a figure: e.g., create a figure, create a plotting area
-in a figure, plot some lines in a plotting area, decorate the plot
-with labels, etc....  :mod:`matplotlib.pyplot` is stateful, in that it
-keeps track of the current figure and plotting area, and the plotting
-functions are directed to the current axes
-
-.. plot:: pyplots/pyplot_simple.py
-   :include-source:
-
-You may be wondering why the x-axis ranges from 0-3 and the y-axis
-from 1-4.  If you provide a single list or array to the
-:func:`~matplotlib.pyplot.plot` command, matplotlib assumes it is a
-sequence of y values, and automatically generates the x values for
-you.  Since python ranges start with 0, the default x vector has the
-same length as y but starts with 0.  Hence the x data are
-``[0,1,2,3]``.
-
-:func:`~matplotlib.pyplot.plot` is a versatile command, and will take
-an arbitrary number of arguments.  For example, to plot x versus y,
-you can issue the command::
-
-    plt.plot([1,2,3,4], [1,4,9,16])
-
-For every x, y pair of arguments, there is an optional third argument
-which is the format string that indicates the color and line type of
-the plot.  The letters and symbols of the format string are from
-MATLAB, and you concatenate a color string with a line style string.
-The default format string is 'b-', which is a solid blue line.  For
-example, to plot the above with red circles, you would issue
-
-.. plot:: pyplots/pyplot_formatstr.py
-   :include-source:
-
-See the :func:`~matplotlib.pyplot.plot` documentation for a complete
-list of line styles and format strings.  The
-:func:`~matplotlib.pyplot.axis` command in the example above takes a
-list of ``[xmin, xmax, ymin, ymax]`` and specifies the viewport of the
-axes.
-
-If matplotlib were limited to working with lists, it would be fairly
-useless for numeric processing.  Generally, you will use `numpy
-<http://numpy.scipy.org>`_ arrays.  In fact, all sequences are
-converted to numpy arrays internally.  The example below illustrates a
-plotting several lines with different format styles in one command
-using arrays.
-
-.. plot:: pyplots/pyplot_three.py
-   :include-source:
-
-.. _controlling-line-properties:
-
-Controlling line properties
-===========================
-
-Lines have many attributes that you can set: linewidth, dash style,
-antialiased, etc; see :class:`matplotlib.lines.Line2D`.  There are
-several ways to set line properties
-
-* Use keyword args::
-
-      plt.plot(x, y, linewidth=2.0)
-
-
-* Use the setter methods of the ``Line2D`` instance.  ``plot`` returns a list
-  of lines; e.g., ``line1, line2 = plot(x1,y1,x2,y2)``.  Below I have only
-  one line so it is a list of length 1.  I use tuple unpacking in the
-  ``line, = plot(x, y, 'o')`` to get the first element of the list::
-
-      line, = plt.plot(x, y, '-')
-      line.set_antialiased(False) # turn off antialising
-
-* Use the :func:`~matplotlib.pyplot.setp` command.  The example below
-  uses a MATLAB-style command to set multiple properties
-  on a list of lines.  ``setp`` works transparently with a list of objects
-  or a single object.  You can either use python keyword arguments or
-  MATLAB-style string/value pairs::
-
-      lines = plt.plot(x1, y1, x2, y2)
-      # use keyword args
-      plt.setp(lines, color='r', linewidth=2.0)
-      # or MATLAB style string value pairs
-      plt.setp(lines, 'color', 'r', 'linewidth', 2.0)
-
-
-Here are the available :class:`~matplotlib.lines.Line2D` properties.
-
-======================  ==================================================
-Property                Value Type
-======================  ==================================================
-alpha			float
-animated		[True | False]
-antialiased or aa	[True | False]
-clip_box		a matplotlib.transform.Bbox instance
-clip_on			[True | False]
-clip_path		a Path instance and a Transform instance, a Patch
-color or c		any matplotlib color
-contains		the hit testing function
-dash_capstyle		[``'butt'`` | ``'round'`` | ``'projecting'``]
-dash_joinstyle		[``'miter'`` | ``'round'`` | ``'bevel'``]
-dashes			sequence of on/off ink in points
-data			(np.array xdata, np.array ydata)
-figure			a matplotlib.figure.Figure instance
-label			any string
-linestyle or ls		[ ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'steps'`` | ...]
-linewidth or lw		float value in points
-lod			[True | False]
-marker			[ ``'+'`` | ``','`` | ``'.'`` | ``'1'`` | ``'2'`` | ``'3'`` | ``'4'`` ]
-markeredgecolor or mec	any matplotlib color
-markeredgewidth or mew	float value in points
-markerfacecolor or mfc	any matplotlib color
-markersize or ms	float
-markevery               [ None | integer | (startind, stride) ]
-picker			used in interactive line selection
-pickradius		the line pick selection radius
-solid_capstyle		[``'butt'`` | ``'round'`` | ``'projecting'``]
-solid_joinstyle		[``'miter'`` | ``'round'`` | ``'bevel'``]
-transform		a matplotlib.transforms.Transform instance
-visible			[True | False]
-xdata			np.array
-ydata			np.array
-zorder			any number
-======================  ==================================================
-
-To get a list of settable line properties, call the
-:func:`~matplotlib.pyplot.setp` function with a line or lines
-as argument
-
-.. sourcecode:: ipython
-
-    In [69]: lines = plt.plot([1,2,3])
-
-    In [70]: plt.setp(lines)
-      alpha: float
-      animated: [True | False]
-      antialiased or aa: [True | False]
-      ...snip
-
-.. _multiple-figs-axes:
-
-Working with multiple figures and axes
-======================================
-
-
-MATLAB, and :mod:`~matplotlib.pyplot`, have the concept of the current
-figure and the current axes.  All plotting commands apply to the
-current axes.  The function :func:`~matplotlib.pyplot.gca` returns the
-current axes (a :class:`matplotlib.axes.Axes` instance), and
-:func:`~matplotlib.pyplot.gcf` returns the current figure
-(:class:`matplotlib.figure.Figure` instance). Normally, you don't have
-to worry about this, because it is all taken care of behind the
-scenes.  Below is a script to create two subplots.
-
-.. plot:: pyplots/pyplot_two_subplots.py
-   :include-source:
-
-The :func:`~matplotlib.pyplot.figure` command here is optional because
-``figure(1)`` will be created by default, just as a ``subplot(111)``
-will be created by default if you don't manually specify an axes.  The
-:func:`~matplotlib.pyplot.subplot` command specifies ``numrows,
-numcols, fignum`` where ``fignum`` ranges from 1 to
-``numrows*numcols``.  The commas in the ``subplot`` command are
-optional if ``numrows*numcols<10``.  So ``subplot(211)`` is identical
-to ``subplot(2,1,1)``.  You can create an arbitrary number of subplots
-and axes.  If you want to place an axes manually, i.e., not on a
-rectangular grid, use the :func:`~matplotlib.pyplot.axes` command,
-which allows you to specify the location as ``axes([left, bottom,
-width, height])`` where all values are in fractional (0 to 1)
-coordinates.  See :ref:`pylab_examples-axes_demo` for an example of
-placing axes manually and :ref:`pylab_examples-subplots_demo` for an
-example with lots-o-subplots.
-
-
-You can create multiple figures by using multiple
-:func:`~matplotlib.pyplot.figure` calls with an increasing figure
-number.  Of course, each figure can contain as many axes and subplots
-as your heart desires::
-
-    import matplotlib.pyplot as plt
-    plt.figure(1)                # the first figure
-    plt.subplot(211)             # the first subplot in the first figure
-    plt.plot([1,2,3])
-    plt.subplot(212)             # the second subplot in the first figure
-    plt.plot([4,5,6])
-
-
-    plt.figure(2)                # a second figure
-    plt.plot([4,5,6])            # creates a subplot(111) by default
-
-    plt.figure(1)                # figure 1 current; subplot(212) still current
-    plt.subplot(211)             # make subplot(211) in figure1 current
-    plt.title('Easy as 1,2,3')   # subplot 211 title
-
-You can clear the current figure with :func:`~matplotlib.pyplot.clf`
-and the current axes with :func:`~matplotlib.pyplot.cla`.  If you find
-this statefulness, annoying, don't despair, this is just a thin
-stateful wrapper around an object oriented API, which you can use
-instead (see :ref:`artist-tutorial`)
-
-If you are making a long sequence of figures, you need to be aware of one
-more thing: the memory required for a figure is not completely
-released until the figure is explicitly closed with
-:func:`~matplotlib.pyplot.close`.  Deleting all references to the
-figure, and/or using the window manager to kill the window in which
-the figure appears on the screen, is not enough, because pyplot
-maintains internal references until :func:`~matplotlib.pyplot.close`
-is called.
-
-.. _working-with-text:
-
-Working with text
-=================
-
-The :func:`~matplotlib.pyplot.text` command can be used to add text in
-an arbitrary location, and the :func:`~matplotlib.pyplot.xlabel`,
-:func:`~matplotlib.pyplot.ylabel` and :func:`~matplotlib.pyplot.title`
-are used to add text in the indicated locations (see :ref:`text-intro`
-for a more detailed example)
-
-.. plot:: pyplots/pyplot_text.py
-   :include-source:
-
-
-All of the :func:`~matplotlib.pyplot.text` commands return an
-:class:`matplotlib.text.Text` instance.  Just as with with lines
-above, you can customize the properties by passing keyword arguments
-into the text functions or using :func:`~matplotlib.pyplot.setp`::
-
-  t = plt.xlabel('my data', fontsize=14, color='red')
-
-These properties are covered in more detail in :ref:`text-properties`.
-
-
-Using mathematical expressions in text
---------------------------------------
-
-matplotlib accepts TeX equation expressions in any text expression.
-For example to write the expression :math:`\sigma_i=15` in the title,
-you can write a TeX expression surrounded by dollar signs::
-
-    plt.title(r'$\sigma_i=15$')
-
-The ``r`` preceding the title string is important -- it signifies
-that the string is a *raw* string and not to treat backslashes as
-python escapes.  matplotlib has a built-in TeX expression parser and
-layout engine, and ships its own math fonts -- for details see
-:ref:`mathtext-tutorial`.  Thus you can use mathematical text across platforms
-without requiring a TeX installation.  For those who have LaTeX and
-dvipng installed, you can also use LaTeX to format your text and
-incorporate the output directly into your display figures or saved
-postscript -- see :ref:`usetex-tutorial`.
-
-
-Annotating text
----------------
-
-The uses of the basic :func:`~matplotlib.pyplot.text` command above
-place text at an arbitrary position on the Axes.  A common use case of
-text is to annotate some feature of the plot, and the
-:func:`~matplotlib.pyplot.annotate` method provides helper
-functionality to make annotations easy.  In an annotation, there are
-two points to consider: the location being annotated represented by
-the argument ``xy`` and the location of the text ``xytext``.  Both of
-these arguments are ``(x,y)`` tuples.
-
-.. plot:: pyplots/pyplot_annotate.py
-   :include-source:
-
-In this basic example, both the ``xy`` (arrow tip) and ``xytext``
-locations (text location) are in data coordinates.  There are a
-variety of other coordinate systems one can choose -- see
-:ref:`annotations-tutorial` and :ref:`plotting-guide-annotation` for
-details.  More examples can be found in
-:ref:`pylab_examples-annotation_demo`.
diff --git a/doc/users/recipes.rst b/doc/users/recipes.rst
deleted file mode 100644
index 3ba3db73457a..000000000000
--- a/doc/users/recipes.rst
+++ /dev/null
@@ -1,366 +0,0 @@
-.. _recipes:
-
-********************
-Our Favorite Recipes
-********************
-
-Here is a collection of short tutorials, examples and code snippets
-that illustrate some of the useful idioms and tricks to make snazzier
-figures and overcome some matplotlib warts.
-
-
-Sharing axis limits and views
-=============================
-
-It's common to make two or more plots which share an axis, e.g., two
-subplots with time as a common axis.  When you pan and zoom around on
-one, you want the other to move around with you.  To facilitate this,
-matplotlib Axes support a ``sharex`` and ``sharey`` attribute.  When
-you create a :func:`~matplotlib.pyplot.subplot` or
-:func:`~matplotlib.pyplot.axes` instance, you can pass in a keyword
-indicating what axes you want to share with
-
-.. sourcecode:: ipython
-
-   In [96]: t = np.arange(0, 10, 0.01)
-
-   In [97]: ax1 = plt.subplot(211)
-
-   In [98]: ax1.plot(t, np.sin(2*np.pi*t))
-   Out[98]: [<matplotlib.lines.Line2D object at 0x98719ec>]
-
-   In [99]: ax2 = plt.subplot(212, sharex=ax1)
-
-   In [100]: ax2.plot(t, np.sin(4*np.pi*t))
-   Out[100]: [<matplotlib.lines.Line2D object at 0xb7d8fec>]
-
-Easily creating subplots
-========================
-
-In early versions of matplotlib, if you wanted to use the pythonic API
-and create a figure instance and from that create a grid of subplots,
-possibly with shared axes, it involved a fair amount of boilerplate
-code.  e.g.
-
-.. sourcecode:: python
-
-   # old style
-   fig = plt.figure()
-   ax1 = fig.add_subplot(221)
-   ax2 = fig.add_subplot(222, sharex=ax1, sharey=ax1)
-   ax3 = fig.add_subplot(223, sharex=ax1, sharey=ax1)
-   ax3 = fig.add_subplot(224, sharex=ax1, sharey=ax1)
-
-Fernando Perez has provided a nice top level method to create in
-:func:`~matplotlib.pyplots.subplots` (note the "s" at the end)
-everything at once, and turn off x and y sharing for the whole bunch.
-You can either unpack the axes individually::
-
-  # new style method 1; unpack the axes
-  fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=True, sharey=True)
-  ax1.plot(x)
-
-or get them back as a numrows x numcolumns object array which supports
-numpy indexing::
-
-  # new style method 2; use an axes array
-  fig, axs = plt.subplots(2, 2, sharex=True, sharey=True)
-  axs[0,0].plot(x)
-
-
-
-Fixing common date annoyances
-=============================
-
-
-.. plot::
-   :nofigs:
-   :context:
-
-   # clear the state for context use below
-   plt.close('all')
-
-matplotlib allows you to natively plots python datetime instances, and
-for the most part does a good job picking tick locations and string
-formats.  There are a couple of things it does not handle so
-gracefully, and here are some tricks to help you work around them.
-We'll load up some sample date data which contains datetime.date
-objects in a numpy record array::
-
-  In [63]: datafile = cbook.get_sample_data('goog.npy')
-
-  In [64]: r = np.load(datafile).view(np.recarray)
-
-  In [65]: r.dtype
-  Out[65]: dtype([('date', '|O4'), ('', '|V4'), ('open', '<f8'),
-                  ('high', '<f8'), ('low', '<f8'), ('close', '<f8'),
-                  ('volume', '<i8'),  ('adj_close', '<f8')])
-
-  In [66]: r.date
-  Out[66]:
-  array([2004-08-19, 2004-08-20, 2004-08-23, ..., 2008-10-10, 2008-10-13,
-         2008-10-14], dtype=object)
-
-The dtype of the numpy record array for the field ``date`` is ``|O4``
-which means it is a 4-byte python object pointer; in this case the
-objects are datetime.date instances, which we can see when we print
-some samples in the ipython terminal window.
-
-If you plot the data, ::
-
-  In [67]: plot(r.date, r.close)
-  Out[67]: [<matplotlib.lines.Line2D object at 0x92a6b6c>]
-
-you will see that the x tick labels are all squashed together.
-
-.. plot::
-   :context:
-
-   import matplotlib.cbook as cbook
-   datafile = cbook.get_sample_data('goog.npy')
-   r = np.load(datafile).view(np.recarray)
-   plt.figure()
-   plt.plot(r.date, r.close)
-   plt.title('Default date handling can cause overlapping labels')
-
-Another annoyance is that if you hover the mouse over the window and
-look in the lower right corner of the matplotlib toolbar
-(:ref:`navigation-toolbar`) at the x and y coordinates, you see that
-the x locations are formatted the same way the tick labels are, e.g.,
-"Dec 2004".  What we'd like is for the location in the toolbar to have
-a higher degree of precision, e.g., giving us the exact date out mouse is
-hovering over.  To fix the first problem, we can use
-:func:`matplotlib.figure.Figure.autofmt_xdate` and to fix the second
-problem we can use the ``ax.fmt_xdata`` attribute which can be set to
-any function that takes a scalar and returns a string.  matplotlib has
-a number of date formatters built in, so we'll use one of those.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.close('all')
-   fig, ax = plt.subplots(1)
-   ax.plot(r.date, r.close)
-
-   # rotate and align the tick labels so they look better
-   fig.autofmt_xdate()
-
-   # use a more precise date string for the x axis locations in the
-   # toolbar
-   import matplotlib.dates as mdates
-   ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d')
-   plt.title('fig.autofmt_xdate fixes the labels')
-
-Now when you hover your mouse over the plotted data, you'll see date
-format strings like 2004-12-01 in the toolbar.
-
-Fill Between and Alpha
-======================
-
-The :meth:`~matplotlib.axes.Axes.fill_between` function generates a
-shaded region between a min and max boundary that is useful for
-illustrating ranges.  It has a very handy ``where`` argument to
-combine filling with logical ranges, e.g., to just fill in a curve over
-some threshold value.
-
-At its most basic level, ``fill_between`` can be use to enhance a
-graphs visual appearance. Let's compare two graphs of a financial
-times with a simple line plot on the left and a filled line on the
-right.
-
-.. plot::
-   :include-source:
-
-   import matplotlib.pyplot as plt
-   import numpy as np
-
-   import matplotlib.cbook as cbook
-
-   # load up some sample financial data
-   datafile = cbook.get_sample_data('goog.npy')
-   r = np.load(datafile).view(np.recarray)
-
-   # create two subplots with the shared x and y axes
-   fig, (ax1, ax2) = plt.subplots(1,2, sharex=True, sharey=True)
-
-   pricemin = r.close.min()
-
-   ax1.plot(r.date, r.close, lw=2)
-   ax2.fill_between(r.date, pricemin, r.close, facecolor='blue', alpha=0.5)
-
-   for ax in ax1, ax2:
-       ax.grid(True)
-
-   ax1.set_ylabel('price')
-   for label in ax2.get_yticklabels():
-       label.set_visible(False)
-
-   fig.suptitle('Google (GOOG) daily closing price')
-   fig.autofmt_xdate()
-
-The alpha channel is not necessary here, but it can be used to soften
-colors for more visually appealing plots.  In other examples, as we'll
-see below, the alpha channel is functionally useful as the shaded
-regions can overlap and alpha allows you to see both.  Note that the
-postscript format does not support alpha (this is a postscript
-limitation, not a matplotlib limitation), so when using alpha save
-your figures in PNG, PDF or SVG.
-
-Our next example computes two populations of random walkers with a
-different mean and standard deviation of the normal distributions from
-which the steps are drawn.  We use shared regions to plot +/- one
-standard deviation of the mean position of the population.  Here the
-alpha channel is useful, not just aesthetic.
-
-.. plot::
-   :include-source:
-
-   import matplotlib.pyplot as plt
-   import numpy as np
-
-   Nsteps, Nwalkers = 100, 250
-   t = np.arange(Nsteps)
-
-   # an (Nsteps x Nwalkers) array of random walk steps
-   S1 = 0.002 + 0.01*np.random.randn(Nsteps, Nwalkers)
-   S2 = 0.004 + 0.02*np.random.randn(Nsteps, Nwalkers)
-
-   # an (Nsteps x Nwalkers) array of random walker positions
-   X1 = S1.cumsum(axis=0)
-   X2 = S2.cumsum(axis=0)
-
-
-   # Nsteps length arrays empirical means and standard deviations of both
-   # populations over time
-   mu1 = X1.mean(axis=1)
-   sigma1 = X1.std(axis=1)
-   mu2 = X2.mean(axis=1)
-   sigma2 = X2.std(axis=1)
-
-   # plot it!
-   fig, ax = plt.subplots(1)
-   ax.plot(t, mu1, lw=2, label='mean population 1', color='blue')
-   ax.plot(t, mu1, lw=2, label='mean population 2', color='yellow')
-   ax.fill_between(t, mu1+sigma1, mu1-sigma1, facecolor='blue', alpha=0.5)
-   ax.fill_between(t, mu2+sigma2, mu2-sigma2, facecolor='yellow', alpha=0.5)
-   ax.set_title('random walkers empirical $\mu$ and $\pm \sigma$ interval')
-   ax.legend(loc='upper left')
-   ax.set_xlabel('num steps')
-   ax.set_ylabel('position')
-   ax.grid()
-
-
-The ``where`` keyword argument is very handy for highlighting certain
-regions of the graph.  ``where`` takes a boolean mask the same length
-as the x, ymin and ymax arguments, and only fills in the region where
-the boolean mask is True.  In the example below, we simulate a single
-random walker and compute the analytic mean and standard deviation of
-the population positions.  The population mean is shown as the black
-dashed line, and the plus/minus one sigma deviation from the mean is
-shown as the yellow filled region.  We use the where mask
-``X>upper_bound`` to find the region where the walker is above the one
-sigma boundary, and shade that region blue.
-
-.. plot::
-   :include-source:
-
-   np.random.seed(1234)
-
-   Nsteps = 500
-   t = np.arange(Nsteps)
-
-   mu = 0.002
-   sigma = 0.01
-
-   # the steps and position
-   S = mu + sigma*np.random.randn(Nsteps)
-   X = S.cumsum()
-
-   # the 1 sigma upper and lower analytic population bounds
-   lower_bound = mu*t - sigma*np.sqrt(t)
-   upper_bound = mu*t + sigma*np.sqrt(t)
-
-   fig, ax = plt.subplots(1)
-   ax.plot(t, X, lw=2, label='walker position', color='blue')
-   ax.plot(t, mu*t, lw=1, label='population mean', color='black', ls='--')
-   ax.fill_between(t, lower_bound, upper_bound, facecolor='yellow', alpha=0.5,
-                   label='1 sigma range')
-   ax.legend(loc='upper left')
-
-   # here we use the where argument to only fill the region where the
-   # walker is above the population 1 sigma boundary
-   ax.fill_between(t, upper_bound, X, where=X>upper_bound, facecolor='blue', alpha=0.5)
-   ax.set_xlabel('num steps')
-   ax.set_ylabel('position')
-   ax.grid()
-
-
-Another handy use of filled regions is to highlight horizontal or
-vertical spans of an axes -- for that matplotlib has some helper
-functions :meth:`~matplotlib.axes.Axes.axhspan` and
-:meth:`~matplotlib.axes.Axes.axvspan` and example
-:ref:`pylab_examples-axhspan_demo`.
-
-
-Transparent, fancy legends
-==========================
-
-Sometimes you know what your data looks like before you plot it, and
-may know for instance that there won't be much data in the upper right
-hand corner.  Then you can safely create a legend that doesn't overlay
-your data::
-
-  ax.legend(loc='upper right')
-
-Other times you don't know where your data is, and loc='best' will try
-and place the legend::
-
-  ax.legend(loc='best')
-
-but still, your legend may overlap your data, and in these cases it's
-nice to make the legend frame transparent.
-
-
-.. plot::
-   :include-source:
-
-   np.random.seed(1234)
-   fig, ax = plt.subplots(1)
-   ax.plot(np.random.randn(300), 'o-', label='normal distribution')
-   ax.plot(np.random.rand(300), 's-', label='uniform distribution')
-   ax.set_ylim(-3, 3)
-   ax.legend(loc='best', fancybox=True, framealpha=0.5)
-
-   ax.set_title('fancy, transparent legends')
-
-
-Placing text boxes
-==================
-
-When decorating axes with text boxes, two useful tricks are to place
-the text in axes coordinates (see :ref:`transforms_tutorial`), so the
-text doesn't move around with changes in x or y limits.  You can also
-use the ``bbox`` property of text to surround the text with a
-:class:`~matplotlib.patches.Patch` instance -- the ``bbox`` keyword
-argument takes a dictionary with keys that are Patch properties.
-
-.. plot::
-   :include-source:
-
-   np.random.seed(1234)
-   fig, ax = plt.subplots(1)
-   x = 30*np.random.randn(10000)
-   mu = x.mean()
-   median = np.median(x)
-   sigma = x.std()
-   textstr = '$\mu=%.2f$\n$\mathrm{median}=%.2f$\n$\sigma=%.2f$'%(mu, median, sigma)
-
-   ax.hist(x, 50)
-   # these are matplotlib.patch.Patch properties
-   props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
-
-   # place a text box in upper left in axes coords
-   ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
-           verticalalignment='top', bbox=props)
-
diff --git a/doc/users/release_notes.rst b/doc/users/release_notes.rst
new file mode 100644
index 000000000000..ae06d9875988
--- /dev/null
+++ b/doc/users/release_notes.rst
@@ -0,0 +1,275 @@
+.. redirect-from:: /api/api_changes_old
+.. redirect-from:: /users/whats_new_old
+
+.. _release-notes:
+
+=============
+Release notes
+=============
+
+.. include from another document so that it's easy to exclude this for releases
+.. ifconfig:: releaselevel == 'dev'
+
+   .. include:: release_notes_next.rst
+
+Version 3.10
+^^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.10.0.rst
+    ../api/prev_api_changes/api_changes_3.10.1.rst
+    ../api/prev_api_changes/api_changes_3.10.0.rst
+    github_stats.rst
+    prev_whats_new/github_stats_3.10.0.rst
+
+Version 3.9
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.9.0.rst
+    ../api/prev_api_changes/api_changes_3.9.2.rst
+    ../api/prev_api_changes/api_changes_3.9.1.rst
+    ../api/prev_api_changes/api_changes_3.9.0.rst
+    prev_whats_new/github_stats_3.9.4.rst
+    prev_whats_new/github_stats_3.9.3.rst
+    prev_whats_new/github_stats_3.9.2.rst
+    prev_whats_new/github_stats_3.9.1.rst
+    prev_whats_new/github_stats_3.9.0.rst
+
+Version 3.8
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.8.0.rst
+    ../api/prev_api_changes/api_changes_3.8.1.rst
+    ../api/prev_api_changes/api_changes_3.8.0.rst
+    prev_whats_new/github_stats_3.8.3.rst
+    prev_whats_new/github_stats_3.8.2.rst
+    prev_whats_new/github_stats_3.8.1.rst
+    prev_whats_new/github_stats_3.8.0.rst
+
+Version 3.7
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.7.0.rst
+    ../api/prev_api_changes/api_changes_3.7.0.rst
+    prev_whats_new/github_stats_3.7.3.rst
+    prev_whats_new/github_stats_3.7.2.rst
+    prev_whats_new/github_stats_3.7.1.rst
+    prev_whats_new/github_stats_3.7.0.rst
+
+Version 3.6
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.6.0.rst
+    ../api/prev_api_changes/api_changes_3.6.1.rst
+    ../api/prev_api_changes/api_changes_3.6.0.rst
+    prev_whats_new/github_stats_3.6.3.rst
+    prev_whats_new/github_stats_3.6.2.rst
+    prev_whats_new/github_stats_3.6.1.rst
+    prev_whats_new/github_stats_3.6.0.rst
+
+Version 3.5
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.5.2.rst
+    prev_whats_new/whats_new_3.5.0.rst
+    ../api/prev_api_changes/api_changes_3.5.3.rst
+    ../api/prev_api_changes/api_changes_3.5.2.rst
+    ../api/prev_api_changes/api_changes_3.5.0.rst
+    prev_whats_new/github_stats_3.5.3.rst
+    prev_whats_new/github_stats_3.5.2.rst
+    prev_whats_new/github_stats_3.5.1.rst
+    prev_whats_new/github_stats_3.5.0.rst
+
+Version 3.4
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.4.0.rst
+    ../api/prev_api_changes/api_changes_3.4.2.rst
+    ../api/prev_api_changes/api_changes_3.4.0.rst
+    prev_whats_new/github_stats_3.4.1.rst
+    prev_whats_new/github_stats_3.4.0.rst
+
+Version 3.3
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.3.0.rst
+    ../api/prev_api_changes/api_changes_3.3.1.rst
+    ../api/prev_api_changes/api_changes_3.3.0.rst
+    prev_whats_new/github_stats_3.3.4.rst
+    prev_whats_new/github_stats_3.3.3.rst
+    prev_whats_new/github_stats_3.3.2.rst
+    prev_whats_new/github_stats_3.3.1.rst
+    prev_whats_new/github_stats_3.3.0.rst
+
+Version 3.2
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.2.0.rst
+    ../api/prev_api_changes/api_changes_3.2.0.rst
+    prev_whats_new/github_stats_3.2.2.rst
+    prev_whats_new/github_stats_3.2.1.rst
+    prev_whats_new/github_stats_3.2.0.rst
+
+Version 3.1
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.1.0.rst
+    ../api/prev_api_changes/api_changes_3.1.1.rst
+    ../api/prev_api_changes/api_changes_3.1.0.rst
+    prev_whats_new/github_stats_3.1.3.rst
+    prev_whats_new/github_stats_3.1.2.rst
+    prev_whats_new/github_stats_3.1.1.rst
+    prev_whats_new/github_stats_3.1.0.rst
+
+Version 3.0
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_3.0.rst
+    ../api/prev_api_changes/api_changes_3.0.1.rst
+    ../api/prev_api_changes/api_changes_3.0.0.rst
+    prev_whats_new/github_stats_3.0.3.rst
+    prev_whats_new/github_stats_3.0.2.rst
+    prev_whats_new/github_stats_3.0.1.rst
+    prev_whats_new/github_stats_3.0.0.rst
+
+Version 2.2
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_2.2.rst
+    ../api/prev_api_changes/api_changes_2.2.0.rst
+
+Version 2.1
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_2.1.0.rst
+    ../api/prev_api_changes/api_changes_2.1.2.rst
+    ../api/prev_api_changes/api_changes_2.1.1.rst
+    ../api/prev_api_changes/api_changes_2.1.0.rst
+
+Version 2.0
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_2.0.0.rst
+    ../api/prev_api_changes/api_changes_2.0.1.rst
+    ../api/prev_api_changes/api_changes_2.0.0.rst
+
+Version 1.5
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.5.rst
+    ../api/prev_api_changes/api_changes_1.5.3.rst
+    ../api/prev_api_changes/api_changes_1.5.2.rst
+    ../api/prev_api_changes/api_changes_1.5.0.rst
+
+Version 1.4
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.4.rst
+    ../api/prev_api_changes/api_changes_1.4.x.rst
+
+Version 1.3
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.3.rst
+    ../api/prev_api_changes/api_changes_1.3.x.rst
+
+Version 1.2
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.2.2.rst
+    prev_whats_new/whats_new_1.2.rst
+    ../api/prev_api_changes/api_changes_1.2.x.rst
+
+Version 1.1
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.1.rst
+    ../api/prev_api_changes/api_changes_1.1.x.rst
+
+Version 1.0
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/whats_new_1.0.rst
+
+Version 0.x
+^^^^^^^^^^^
+.. toctree::
+    :maxdepth: 1
+
+    prev_whats_new/changelog.rst
+    prev_whats_new/whats_new_0.99.rst
+    ../api/prev_api_changes/api_changes_0.99.x.rst
+    ../api/prev_api_changes/api_changes_0.99.rst
+    prev_whats_new/whats_new_0.98.4.rst
+    ../api/prev_api_changes/api_changes_0.98.x.rst
+    ../api/prev_api_changes/api_changes_0.98.1.rst
+    ../api/prev_api_changes/api_changes_0.98.0.rst
+    ../api/prev_api_changes/api_changes_0.91.2.rst
+    ../api/prev_api_changes/api_changes_0.91.0.rst
+    ../api/prev_api_changes/api_changes_0.90.1.rst
+    ../api/prev_api_changes/api_changes_0.90.0.rst
+
+    ../api/prev_api_changes/api_changes_0.87.7.rst
+    ../api/prev_api_changes/api_changes_0.86.rst
+    ../api/prev_api_changes/api_changes_0.85.rst
+    ../api/prev_api_changes/api_changes_0.84.rst
+    ../api/prev_api_changes/api_changes_0.83.rst
+    ../api/prev_api_changes/api_changes_0.82.rst
+    ../api/prev_api_changes/api_changes_0.81.rst
+    ../api/prev_api_changes/api_changes_0.80.rst
+
+    ../api/prev_api_changes/api_changes_0.73.rst
+    ../api/prev_api_changes/api_changes_0.72.rst
+    ../api/prev_api_changes/api_changes_0.71.rst
+    ../api/prev_api_changes/api_changes_0.70.rst
+
+    ../api/prev_api_changes/api_changes_0.65.1.rst
+    ../api/prev_api_changes/api_changes_0.65.rst
+    ../api/prev_api_changes/api_changes_0.63.rst
+    ../api/prev_api_changes/api_changes_0.61.rst
+    ../api/prev_api_changes/api_changes_0.60.rst
+
+    ../api/prev_api_changes/api_changes_0.54.3.rst
+    ../api/prev_api_changes/api_changes_0.54.rst
+    ../api/prev_api_changes/api_changes_0.50.rst
+    ../api/prev_api_changes/api_changes_0.42.rst
+    ../api/prev_api_changes/api_changes_0.40.rst
diff --git a/doc/users/release_notes_next.rst b/doc/users/release_notes_next.rst
new file mode 100644
index 000000000000..6813f61c5f90
--- /dev/null
+++ b/doc/users/release_notes_next.rst
@@ -0,0 +1,10 @@
+:orphan:
+
+Next version
+============
+.. toctree::
+   :maxdepth: 1
+
+   next_whats_new
+   ../api/next_api_changes
+   github_stats
diff --git a/doc/users/resources/index.rst b/doc/users/resources/index.rst
new file mode 100644
index 000000000000..a31dbc83aa9d
--- /dev/null
+++ b/doc/users/resources/index.rst
@@ -0,0 +1,97 @@
+.. _resources-index:
+
+.. redirect-from:: /resources/index
+
+******************
+External resources
+******************
+
+
+============================
+Books, chapters and articles
+============================
+
+* `Scientific Visualization: Python + Matplotlib (2021)
+  <https://hal.inria.fr/hal-03427242/>`_
+  by Nicolas P. Rougier
+
+* `Mastering matplotlib
+  <https://www.packtpub.com/product/mastering-matplotlib/9781783987542>`_
+  by Duncan M. McGreggor
+
+* `Interactive Applications Using Matplotlib
+  <https://www.packtpub.com/product/interactive-applications-using-matplotlib/9781783988846>`_
+  by Benjamin Root
+
+* `Matplotlib for Python Developers
+  <https://www.packtpub.com/product/matplotlib-for-python-developers/9781847197900>`_
+  by Sandro Tosi
+
+* `Matplotlib chapter <http://www.aosabook.org/en/matplotlib.html>`_
+  by John Hunter and Michael Droettboom in The Architecture of Open Source
+  Applications
+
+* `Ten Simple Rules for Better Figures
+  <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833>`_
+  by Nicolas P. Rougier, Michael Droettboom and Philip E. Bourne
+
+* `Learning Scientific Programming with Python chapter 7
+  <https://scipython.com/book/chapter-7-matplotlib/>`_
+  by Christian Hill
+
+* `Hands-On Data Analysis with Pandas, chapters 5 and 6
+  <https://www.packtpub.com/product/hands-on-data-analysis-with-pandas-second-edition/9781800563452>`_
+  by Stefanie Molin
+
+======
+Videos
+======
+
+* `Plotting with matplotlib <https://www.youtube.com/watch?v=P7SVi0YTIuE>`_
+  by Mike Müller
+
+* `Introduction to NumPy and Matplotlib
+  <https://www.youtube.com/watch?v=3Fp1zn5ao2M&feature=plcp>`_ by Eric Jones
+
+* `Anatomy of Matplotlib
+  <https://www.youtube.com/watch?v=6gdNUDs6QPc>`_
+  by Benjamin Root and Hannah Aizenman
+
+* `Data Visualization Basics with Python (O'Reilly)
+  <https://www.oreilly.com/library/view/data-visualization-basics/9781771375573/>`_
+  by Randal S. Olson
+* `Matplotlib Introduction
+  <https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl>`_
+  by codebasics
+* `Matplotlib
+  <https://www.youtube.com/watch?v=wB9C0Mz9gSo>`_
+  by Derek Banas
+
+=========
+Tutorials
+=========
+
+* `Matplotlib tutorial <https://www.labri.fr/perso/nrougier/teaching/matplotlib/>`_
+  by Nicolas P. Rougier
+
+* `Anatomy of Matplotlib - IPython Notebooks
+  <https://github.com/WeatherGod/AnatomyOfMatplotlib>`_
+  by Benjamin Root
+
+* `Beyond the Basics: Data Visualization in Python
+  <https://github.com/stefmolin/python-data-viz-workshop>`_
+  by Stefanie Molin
+
+* `Matplotlib Journey: Interactive Online Course
+  <https://www.matplotlib-journey.com/>`_
+  by Yan Holtz and Joseph Barbier
+
+=========
+Galleries
+=========
+
+* `Past winners for JDH plotting contest <https://jhepc.github.io/gallery.html>`_
+  by Nelle Varoquaux
+
+* `The Python Graph Gallery <https://www.python-graph-gallery.com>`_
+  by Yan Holtz
diff --git a/doc/users/screenshots.rst b/doc/users/screenshots.rst
deleted file mode 100644
index c1903ed1a8a6..000000000000
--- a/doc/users/screenshots.rst
+++ /dev/null
@@ -1,306 +0,0 @@
-.. _matplotlibscreenshots:
-
-**********************
-Screenshots
-**********************
-
-Here you'll find a host of example plots with the code that
-generated them.
-
-Simple Plot
-===========
-
-Here's a very basic :func:`~matplotlib.pyplot.plot` with text labels:
-
-.. plot:: mpl_examples/pylab_examples/simple_plot.py
-
-.. _screenshots_subplot_demo:
-
-Subplot demo
-============
-
-Multiple axes (i.e. subplots) are created with the
-:func:`~matplotlib.pyplot.subplot` command:
-
-.. plot:: mpl_examples/subplots_axes_and_figures/subplot_demo.py
-
-.. _screenshots_histogram_demo:
-
-Histograms
-==========
-
-The :func:`~matplotlib.pyplot.hist` command automatically generates
-histograms and returns the bin counts or probabilities:
-
-.. plot:: mpl_examples/statistics/histogram_demo_features.py
-
-
-.. _screenshots_path_demo:
-
-Path demo
-=========
-
-You can add arbitrary paths in matplotlib using the
-:mod:`matplotlib.path` module:
-
-.. plot:: mpl_examples/shapes_and_collections/path_patch_demo.py
-
-.. _screenshots_mplot3d_surface:
-
-mplot3d
-=========
-
-The mplot3d toolkit (see :ref:`toolkit_mplot3d-tutorial` and
-:ref:`mplot3d-examples-index`) has support for simple 3d graphs
-including surface, wireframe, scatter, and bar charts.
-
-.. plot:: mpl_examples/mplot3d/surface3d_demo.py
-
-Thanks to John Porter, Jonathon Taylor, Reinier Heeres, and Ben Root for
-the `mplot3d` toolkit. This toolkit is included with all standard matplotlib
-installs.
-
-.. _screenshots_ellipse_demo:
-
-
-Streamplot
-==========
-
-The :meth:`~matplotlib.pyplot.streamplot` function plots the streamlines of
-a vector field. In addition to simply plotting the streamlines, it allows you
-to map the colors and/or line widths of streamlines to a separate parameter,
-such as the speed or local intensity of the vector field.
-
-.. plot:: mpl_examples/images_contours_and_fields/streamplot_demo_features.py
-
-This feature complements the :meth:`~matplotlib.pyplot.quiver` function for
-plotting vector fields. Thanks to Tom Flannaghan and Tony Yu for adding the
-streamplot function.
-
-
-Ellipses
-========
-
-In support of the
-`Phoenix <http://www.jpl.nasa.gov/news/phoenix/main.php>`_ mission to
-Mars (which used matplotlib to display ground tracking of spacecraft),
-Michael Droettboom built on work by Charlie Moad to provide an extremely
-accurate  8-spline approximation to elliptical arcs (see
-:class:`~matplotlib.patches.Arc`), which are insensitive to zoom level.
-
-.. plot:: mpl_examples/pylab_examples/ellipse_demo.py
-
-.. _screenshots_barchart_demo:
-
-Bar charts
-==========
-
-Bar charts are simple to create using the :func:`~matplotlib.pyplot.bar`
-command, which includes customizations such as error bars:
-
-.. plot:: mpl_examples/pylab_examples/barchart_demo.py
-
-It's also simple to create stacked bars
-(`bar_stacked.py <../examples/pylab_examples/bar_stacked.html>`_),
-candlestick bars
-(`finance_demo.py <../examples/pylab_examples/finance_demo.html>`_),
-and horizontal bar charts
-(`barh_demo.py <../examples/lines_bars_and_markers/barh_demo.html>`_).
-
-.. _screenshots_pie_demo:
-
-
-Pie charts
-==========
-
-The :func:`~matplotlib.pyplot.pie` command allows you to easily create pie
-charts.  Optional features include auto-labeling the percentage of area,
-exploding one or more wedges from the center of the pie, and a shadow effect.
-Take a close look at the attached code, which generates this figure in just
-a few lines of code.
-
-.. plot:: mpl_examples/pie_and_polar_charts/pie_demo_features.py
-
-.. _screenshots_table_demo:
-
-Table demo
-==========
-
-The :func:`~matplotlib.pyplot.table` command adds a text table
-to an axes.
-
-.. plot:: mpl_examples/pylab_examples/table_demo.py
-
-
-.. _screenshots_scatter_demo:
-
-
-Scatter demo
-============
-
-The :func:`~matplotlib.pyplot.scatter` command makes a scatter plot
-with (optional) size and color arguments. This example plots changes
-in Google's stock price, with marker sizes reflecting the
-trading volume and colors varying with time. Here, the
-alpha attribute is used to make semitransparent circle markers.
-
-.. plot:: mpl_examples/pylab_examples/scatter_demo2.py
-
-
-.. _screenshots_slider_demo:
-
-Slider demo
-===========
-
-Matplotlib has basic GUI widgets that are independent of the graphical
-user interface you are using, allowing you to write cross GUI figures
-and widgets.  See :mod:`matplotlib.widgets` and the
-`widget examples <../examples/widgets/index.html>`_.
-
-.. plot:: mpl_examples/widgets/slider_demo.py
-
-
-.. _screenshots_fill_demo:
-
-Fill demo
-=========
-
-The :func:`~matplotlib.pyplot.fill` command lets you
-plot filled curves and polygons:
-
-.. plot:: mpl_examples/lines_bars_and_markers/fill_demo.py
-
-Thanks to Andrew Straw for adding this function.
-
-.. _screenshots_date_demo:
-
-Date demo
-=========
-
-You can plot date data with major and minor ticks and custom tick formatters
-for both.
-
-.. plot:: mpl_examples/api/date_demo.py
-
-See :mod:`matplotlib.ticker` and :mod:`matplotlib.dates` for details and usage.
-
-.. _screenshots_jdh_demo:
-
-Financial charts
-================
-
-You can make sophisticated financial plots by combining the various
-plot functions, layout commands, and labeling tools provided by matplotlib.
-The following example emulates one of the financial plots in
-`ChartDirector <http://www.advsofteng.com/gallery_finance.html>`_:
-
-
-.. plot:: mpl_examples/pylab_examples/finance_work2.py
-
-
-.. _screenshots_basemap_demo:
-
-Basemap demo
-============
-
-Jeff Whitaker's :ref:`toolkit_basemap` add-on toolkit makes it possible to plot data on many different map projections.  This example shows how to plot contours, markers and text on an orthographic projection, with NASA's "blue marble" satellite image as a background.
-
-.. plot:: pyplots/plotmap.py
-
-.. _screenshots_log_demo:
-
-Log plots
-=========
-
-The :func:`~matplotlib.pyplot.semilogx`,
-:func:`~matplotlib.pyplot.semilogy` and
-:func:`~matplotlib.pyplot.loglog` functions simplify the creation of
-logarithmic plots.
-
-.. plot:: mpl_examples/pylab_examples/log_demo.py
-
-Thanks to Andrew Straw, Darren Dale and Gregory Lielens for contributions
-log-scaling infrastructure.
-
-.. _screenshots_polar_demo:
-
-Polar plots
-===========
-
-The :func:`~matplotlib.pyplot.polar` command generates polar plots.
-
-.. plot:: mpl_examples/pylab_examples/polar_demo.py
-
-.. _screenshots_legend_demo:
-
-
-Legends
-=======
-
-The :func:`~matplotlib.pyplot.legend` command automatically
-generates figure legends, with MATLAB-compatible legend placement
-commands.
-
-.. plot:: mpl_examples/api/legend_demo.py
-
-Thanks to Charles Twardy for input on the legend command.
-
-.. _screenshots_mathtext_examples_demo:
-
-Mathtext_examples
-=================
-
-Below is a sampling of the many TeX expressions now supported by matplotlib's
-internal mathtext engine.  The mathtext module provides TeX style mathematical
-expressions using `freetype2 <http://freetype.sourceforge.net/index2.html>`_
-and the BaKoMa computer modern or `STIX <http://www.stixfonts.org>`_ fonts.
-See the :mod:`matplotlib.mathtext` module for additional details.
-
-.. plot:: mpl_examples/pylab_examples/mathtext_examples.py
-
-Matplotlib's mathtext infrastructure is an independent implementation and
-does not require TeX or any external packages installed on your computer. See
-the tutorial at :ref:`mathtext-tutorial`.
-
-
-.. _screenshots_tex_demo:
-
-Native TeX rendering
-====================
-
-Although matplotlib's internal math rendering engine is quite
-powerful, sometimes you need TeX. Matplotlib supports external TeX
-rendering of strings with the *usetex* option.
-
-.. plot:: pyplots/tex_demo.py
-
-.. _screenshots_eeg_demo:
-
-EEG demo
-=========
-
-You can embed matplotlib into pygtk, wx, Tk, FLTK, or Qt
-applications.  Here is a screenshot of an EEG viewer called pbrain,
-which is part of the NeuroImaging in Python suite
-`NIPY <http://nipy.sourceforge.net/nipy/stable/index.html>`_.
-
-.. image:: ../_static/eeg_small.png
-
-The lower axes uses :func:`~matplotlib.pyplot.specgram`
-to plot the spectrogram of one of the EEG channels.
-
-For examples of how to embed matplotlib in different toolkits, see:
-
-   * :ref:`user_interfaces-embedding_in_gtk2`
-   * :ref:`user_interfaces-embedding_in_wx2`
-   * :ref:`user_interfaces-mpl_with_glade`
-   * :ref:`user_interfaces-embedding_in_qt4`
-   * :ref:`user_interfaces-embedding_in_tk`
-
-XKCD-style sketch plots
-=======================
-
-matplotlib supports plotting in the style of `xkcd
-<http://www.xkcd.com/>`.
-
-.. plot:: mpl_examples/showcase/xkcd.py
diff --git a/doc/users/shell.rst b/doc/users/shell.rst
deleted file mode 100644
index 2b10b20cbfc8..000000000000
--- a/doc/users/shell.rst
+++ /dev/null
@@ -1,159 +0,0 @@
-.. _mpl-shell:
-
-**********************************
-Using matplotlib in a python shell
-**********************************
-
-By default, matplotlib defers drawing until the end of the script
-because drawing can be an expensive operation, and you may not want
-to update the plot every time a single property is changed, only once
-after all the properties have changed.
-
-But when working from the python shell, you usually do want to update
-the plot with every command, e.g., after changing the
-:func:`~matplotlib.pyplot.xlabel`, or the marker style of a line.
-While this is simple in concept, in practice it can be tricky, because
-matplotlib is a graphical user interface application under the hood,
-and there are some tricks to make the applications work right in a
-python shell.
-
-
-.. _ipython-pylab:
-
-IPython to the rescue
-=====================
-
-.. note::
-
-    The mode described here still exists for historical reasons, but it is
-    highly advised not to use. It pollutes namespaces with functions that will
-    shadow python built-in and can lead to hard to track bugs. To get IPython
-    integration without imports the use of the  `%matplotlib` magic is
-    preferred. See
-    `ipython documentation <http://ipython.org/ipython-doc/stable/interactive/reference.html#plotting-with-matplotlib>`_
-    .
-
-Fortunately, `ipython <http://ipython.org/>`_, an enhanced
-interactive python shell, has figured out all of these tricks, and is
-matplotlib aware, so when you start ipython in the *pylab* mode.
-
-.. sourcecode:: ipython
-
-    johnh@flag:~> ipython
-    Python 2.4.5 (#4, Apr 12 2008, 09:09:16)
-    IPython 0.9.0 -- An enhanced Interactive Python.
-
-    In [1]: %pylab
-
-      Welcome to pylab, a matplotlib-based Python environment.
-      For more information, type 'help(pylab)'.
-
-    In [2]: x = randn(10000)
-
-    In [3]: hist(x, 100)
-
-it sets everything up for you so interactive plotting works as you
-would expect it to.  Call :func:`~matplotlib.pyplot.figure` and a
-figure window pops up, call :func:`~matplotlib.pyplot.plot` and your
-data appears in the figure window.
-
-Note in the example above that we did not import any matplotlib names
-because in pylab mode, ipython will import them automatically.
-ipython also turns on *interactive* mode for you, which causes every
-pyplot command to trigger a figure update, and also provides a
-matplotlib aware ``run`` command to run matplotlib scripts
-efficiently.  ipython will turn off interactive mode during a ``run``
-command, and then restore the interactive state at the end of the
-run so you can continue tweaking the figure manually.
-
-There has been a lot of recent work to embed ipython, with pylab
-support, into various GUI applications, so check on the ipython
-mailing `list
-<http://projects.scipy.org/mailman/listinfo/ipython-user>`_ for the
-latest status.
-
-.. _other-shells:
-
-Other python interpreters
-=========================
-
-If you can't use ipython, and still want to use matplotlib/pylab from
-an interactive python shell, e.g., the plain-ole standard python
-interactive interpreter, you
-are going to need to understand what a matplotlib backend is
-:ref:`what-is-a-backend`.
-
-
-
-With the TkAgg backend, which uses the Tkinter user interface toolkit,
-you can use matplotlib from an arbitrary non-gui python shell.  Just set your
-``backend : TkAgg`` and ``interactive : True`` in your
-:file:`matplotlibrc` file (see :ref:`customizing-matplotlib`) and fire
-up python.  Then::
-
-  >>> from pylab import *
-  >>> plot([1,2,3])
-  >>> xlabel('hi mom')
-
-should work out of the box.  This is also likely to work with recent
-versions of the qt4agg and gtkagg backends, and with the macosx backend
-on the Macintosh. Note, in batch mode,
-i.e. when making
-figures from scripts, interactive mode can be slow since it redraws
-the figure with each command.  So you may want to think carefully
-before making this the default behavior via the :file:`matplotlibrc`
-file instead of using the functions listed in the next section.
-
-Gui shells are at best problematic, because they have to run a
-mainloop, but interactive plotting also involves a mainloop.  Ipython
-has sorted all this out for the primary matplotlib backends. There
-may be other shells and IDEs that also work with matplotlib in interactive
-mode, but one obvious candidate does not:
-the python IDLE IDE is a Tkinter gui app that does
-not support pylab interactive mode, regardless of backend.
-
-.. _controlling-interactive:
-
-Controlling interactive updating
-================================
-
-The *interactive* property of the pyplot interface controls whether a
-figure canvas is drawn on every pyplot command.  If *interactive* is
-*False*, then the figure state is updated on every plot command, but
-will only be drawn on explicit calls to
-:func:`~matplotlib.pyplot.draw`.  When  *interactive* is
-*True*, then every pyplot command triggers a draw.
-
-
-The pyplot interface provides 4 commands that are useful for
-interactive control.
-
-:func:`~matplotlib.pyplot.isinteractive`
-    returns the interactive setting *True|False*
-
-:func:`~matplotlib.pyplot.ion`
-    turns interactive mode on
-
-:func:`~matplotlib.pyplot.ioff`
-    turns interactive mode off
-
-:func:`~matplotlib.pyplot.draw`
-    forces a figure redraw
-
-When working with a big figure in which drawing is expensive, you may
-want to turn matplotlib's interactive setting off temporarily to avoid
-the performance hit::
-
-
-    >>> #create big-expensive-figure
-    >>> ioff()      # turn updates off
-    >>> title('now how much would you pay?')
-    >>> xticklabels(fontsize=20, color='green')
-    >>> draw()      # force a draw
-    >>> savefig('alldone', dpi=300)
-    >>> close()
-    >>> ion()      # turn updating back on
-    >>> plot(rand(20), mfc='g', mec='r', ms=40, mew=4, ls='--', lw=3)
-
-
-
diff --git a/doc/users/style_sheets.rst b/doc/users/style_sheets.rst
deleted file mode 100644
index e42a69caf910..000000000000
--- a/doc/users/style_sheets.rst
+++ /dev/null
@@ -1,89 +0,0 @@
-.. _style-sheets:
-
-***********************************
-Customizing plots with style sheets
-***********************************
-
-
-The ``style`` package adds support for easy-to-switch plotting "styles" with
-the same parameters as a matplotlibrc_ file.
-
-There are a number of pre-defined styles provided by matplotlib. For
-example, there's a pre-defined style called "ggplot", which emulates the
-aesthetics of ggplot_ (a popular plotting package for R_). To use this style,
-just add::
-
-   >>> import matplotlib.pyplot as plt
-   >>> plt.style.use('ggplot')
-
-To list all available styles, use::
-
-   >>> print plt.style.available
-
-
-Defining your own style
-=======================
-
-You can create custom styles and use them by calling ``style.use`` with the
-path or URL to the style sheet. Alternatively, if you add your
-``<style-name>.mplstyle`` file to ``~/.matplotlib/stylelib`` (you may need to
-create this directory), you can reuse your custom style sheet with a call to
-``style.use(<style-name>)``. Note that a custom style sheet in
-``~/.matplotlib/stylelib`` will override a style sheet defined by matplotlib if
-the styles have the same name.
-
-For example, you might want to create
-``~/.matplotlib/stylelib/presentation.mplstyle`` with the following::
-
-   axes.titlesize : 24
-   axes.labelsize : 20
-   lines.linewidth : 3
-   lines.markersize : 10
-   xtick.labelsize : 16
-   ytick.labelsize : 16
-
-Then, when you want to adapt a plot designed for a paper to one that looks
-good in a presentation, you can just add::
-
-   >>> import matplotlib.pyplot as plt
-   >>> plt.style.use('presentation')
-
-
-Composing styles
-================
-
-Style sheets are designed to be composed together. So you can have a style
-sheet that customizes colors and a separate style sheet that alters element
-sizes for presentations. These styles can easily be combined by passing
-a list of styles::
-
-   >>> import matplotlib.pyplot as plt
-   >>> plt.style.use(['dark_background', 'presentation'])
-
-Note that styles further to the right will overwrite values that are already
-defined by styles on the right.
-
-
-Temporary styling
-=================
-
-If you only want to use a style for a specific block of code but don't want
-to change the global styling, the style package provides a context manager
-for limiting your changes to a specific scope. To isolate the your styling
-changes, you can write something like the following::
-
-
-   >>> import numpy as np
-   >>> import matplotlib.pyplot as plt
-   >>>
-   >>> with plt.style.context(('dark_background')):
-   >>>     plt.plot(np.sin(np.linspace(0, 2*np.pi)), 'r-o')
-   >>>
-   >>> # Some plotting code with the default style
-   >>>
-   >>> plt.show()
-
-
-.. _matplotlibrc: http://matplotlib.sourceforge.net/users/customizing.html
-.. _ggplot: http://had.co.nz/ggplot/
-.. _R: http://www.r-project.org/
diff --git a/doc/users/text_intro.rst b/doc/users/text_intro.rst
deleted file mode 100644
index 022d51af8ea7..000000000000
--- a/doc/users/text_intro.rst
+++ /dev/null
@@ -1,59 +0,0 @@
-.. _text-intro:
-
-Text introduction
-=================
-
-matplotlib has excellent text support, including mathematical
-expressions, truetype support for raster and vector outputs, newline
-separated text with arbitrary rotations, and unicode support.  Because
-we embed the fonts directly in the output documents, e.g., for postscript
-or PDF, what you see on the screen is what you get in the hardcopy.
-`freetype2 <http://freetype.sourceforge.net/index2.html>`_ support
-produces very nice, antialiased fonts, that look good even at small
-raster sizes.  matplotlib includes its own
-:mod:`matplotlib.font_manager`, thanks to Paul Barrett, which
-implements a cross platform, W3C compliant font finding algorithm.
-
-You have total control over every text property (font size, font
-weight, text location and color, etc) with sensible defaults set in
-the rc file.  And significantly for those interested in mathematical
-or scientific figures, matplotlib implements a large number of TeX
-math symbols and commands, to support :ref:`mathematical expressions
-<mathtext-tutorial>` anywhere in your figure.
-
-
-Basic text commands
-===================
-
-The following commands are used to create text in the pyplot
-interface
-
-* :func:`~matplotlib.pyplot.text` - add text at an arbitrary location to the ``Axes``;
-  :meth:`matplotlib.axes.Axes.text` in the API.
-
-* :func:`~matplotlib.pyplot.xlabel` - add an axis label to the x-axis;
-  :meth:`matplotlib.axes.Axes.set_xlabel` in the API.
-
-* :func:`~matplotlib.pyplot.ylabel` - add an axis label to the y-axis;
-  :meth:`matplotlib.axes.Axes.set_ylabel` in the API.
-
-* :func:`~matplotlib.pyplot.title` - add a title to the ``Axes``;
-  :meth:`matplotlib.axes.Axes.set_title` in the API.
-
-* :func:`~matplotlib.pyplot.figtext` - add text at an arbitrary location to the ``Figure``;
-  :meth:`matplotlib.figure.Figure.text` in the API.
-
-* :func:`~matplotlib.pyplot.suptitle` - add a title to the ``Figure``;
-  :meth:`matplotlib.figure.Figure.suptitle` in the API.
-
-* :func:`~matplotlib.pyplot.annotate` - add an annotation, with
-   optional arrow, to the ``Axes`` ; :meth:`matplotlib.axes.Axes.annotate`
-   in the API.
-
-All of these functions create and return a
-:func:`matplotlib.text.Text` instance, which can be configured with a
-variety of font and other properties.  The example below shows all of
-these commands in action.
-
-.. plot:: pyplots/text_commands.py
-   :include-source:
diff --git a/doc/users/text_props.rst b/doc/users/text_props.rst
deleted file mode 100644
index 1fa90efd7e30..000000000000
--- a/doc/users/text_props.rst
+++ /dev/null
@@ -1,61 +0,0 @@
-.. _text-properties:
-
-Text properties and layout
-==========================
-
-The :class:`matplotlib.text.Text` instances have a variety of
-properties which can be configured via keyword arguments to the text
-commands (e.g., :func:`~matplotlib.pyplot.title`,
-:func:`~matplotlib.pyplot.xlabel` and :func:`~matplotlib.pyplot.text`).
-
-==========================  ==============================================================================
-Property                    Value Type
-==========================  ==============================================================================
-alpha			    float
-backgroundcolor		    any matplotlib color
-bbox			    rectangle prop dict plus key ``'pad'`` which is a pad in points
-clip_box		    a matplotlib.transform.Bbox instance
-clip_on			    [True | False]
-clip_path		    a Path instance and a Transform instance, a Patch
-color			    any matplotlib color
-family			    [ ``'serif'`` | ``'sans-serif'`` | ``'cursive'`` | ``'fantasy'`` | ``'monospace'`` ]
-fontproperties		    a matplotlib.font_manager.FontProperties instance
-horizontalalignment or ha   [ ``'center'`` | ``'right'`` | ``'left'`` ]
-label			    any string
-linespacing		    float
-multialignment		    [``'left'`` | ``'right'`` | ``'center'`` ]
-name or fontname	    string e.g., [``'Sans'`` | ``'Courier'`` | ``'Helvetica'`` ...]
-picker			    [None|float|boolean|callable]
-position		    (x,y)
-rotation		    [ angle in degrees ``'vertical'`` | ``'horizontal'``
-size or fontsize	    [ size in points | relative size, e.g., ``'smaller'``, ``'x-large'`` ]
-style or fontstyle	    [ ``'normal'`` | ``'italic'`` | ``'oblique'``]
-text			    string or anything printable with '%s' conversion
-transform		    a matplotlib.transform transformation instance
-variant			    [ ``'normal'`` | ``'small-caps'`` ]
-verticalalignment or va	    [ ``'center'`` | ``'top'`` | ``'bottom'`` | ``'baseline'`` ]
-visible			    [True | False]
-weight or fontweight	    [ ``'normal'`` | ``'bold'`` | ``'heavy'`` | ``'light'`` | ``'ultrabold'`` | ``'ultralight'``]
-x			    float
-y			    float
-zorder			    any number
-==========================  ==============================================================================
-
-
-You can layout text with the alignment arguments
-``horizontalalignment``, ``verticalalignment``, and
-``multialignment``.  ``horizontalalignment`` controls whether the x
-positional argument for the text indicates the left, center or right
-side of the text bounding box. ``verticalalignment`` controls whether
-the y positional argument for the text indicates the bottom, center or
-top side of the text bounding box.  ``multialignment``, for newline
-separated strings only, controls whether the different lines are left,
-center or right justified.  Here is an example which uses the
-:func:`~matplotlib.pyplot.text` command to show the various alignment
-possibilities.  The use of ``transform=ax.transAxes`` throughout the
-code indicates that the coordinates are given relative to the axes
-bounding box, with 0,0 being the lower left of the axes and 1,1 the
-upper right.
-
-.. plot:: pyplots/text_layout.py
-   :include-source:
diff --git a/doc/users/tight_layout_guide.rst b/doc/users/tight_layout_guide.rst
deleted file mode 100644
index 4a28c3d2b9bc..000000000000
--- a/doc/users/tight_layout_guide.rst
+++ /dev/null
@@ -1,324 +0,0 @@
-.. _plotting-guide-tight-layout:
-
-******************
-Tight Layout guide
-******************
-
-*tight_layout* automatically adjusts subplot params so that the
-subplot(s) fits in to the figure area. This is an experimental
-feature and may not work for some cases. It only checks the extents
-of ticklabels, axis labels, and titles.
-
-
-Simple Example
-==============
-
-In matplotlib, the location of axes (including subplots) are specified in
-normalized figure coordinates. It can happen that your axis labels or
-titles (or sometimes even ticklabels) go outside the figure area, and are thus
-clipped.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.rcParams['savefig.facecolor'] = "0.8"
-
-   def example_plot(ax, fontsize=12):
-        ax.plot([1, 2])
-	ax.locator_params(nbins=3)
-	ax.set_xlabel('x-label', fontsize=fontsize)
-	ax.set_ylabel('y-label', fontsize=fontsize)
-	ax.set_title('Title', fontsize=fontsize)
-
-   plt.close('all')
-   fig, ax = plt.subplots()
-   example_plot(ax, fontsize=24)
-
-To prevent this, the location of axes needs to be adjusted. For
-subplots, this can be done by adjusting the subplot params
-(:ref:`howto-subplots-adjust`). Matplotlib v1.1 introduces a new
-command :func:`~matplotlib.pyplot.tight_layout` that does this
-automatically for you.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.tight_layout()
-
-When you have multiple subplots, often you see labels of different
-axes overlapping each other.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.close('all')
-   fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
-   example_plot(ax1)
-   example_plot(ax2)
-   example_plot(ax3)
-   example_plot(ax4)
-
-
-:func:`~matplotlib.pyplot.tight_layout` will also adjust spacing between
-subplots to minimize the overlaps.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.tight_layout()
-
-:func:`~matplotlib.pyplot.tight_layout` can take keyword arguments of
-*pad*, *w_pad* and *h_pad*. These control the extra padding around the
-figure border and between subplots. The pads are specified in fraction
-of fontsize.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
-
-:func:`~matplotlib.pyplot.tight_layout` will work even if the sizes of
-subplots are different as far as their grid specification is
-compatible. In the example below, *ax1* and *ax2* are subplots of a 2x2
-grid, while *ax3* is of a 1x2 grid.
-
-
-.. plot::
-   :include-source:
-   :context:
-
-    plt.close('all')
-    fig = plt.figure()
-
-    ax1 = plt.subplot(221)
-    ax2 = plt.subplot(223)
-    ax3 = plt.subplot(122)
-
-    example_plot(ax1)
-    example_plot(ax2)
-    example_plot(ax3)
-
-    plt.tight_layout()
-
-
-It works with subplots created with
-:func:`~matplotlib.pyplot.subplot2grid`. In general, subplots created
-from the gridspec (:ref:`gridspec-guide`) will work.
-
-.. plot::
-   :include-source:
-   :context:
-
-    plt.close('all')
-    fig = plt.figure()
-
-    ax1 = plt.subplot2grid((3, 3), (0, 0))
-    ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
-    ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
-    ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
-
-    example_plot(ax1)
-    example_plot(ax2)
-    example_plot(ax3)
-    example_plot(ax4)
-
-    plt.tight_layout()
-
-
-Although not thoroughly tested, it seems to work for subplots with
-aspect != "auto" (e.g., axes with images).
-
-
-.. plot::
-   :include-source:
-   :context:
-
-    arr = np.arange(100).reshape((10,10))
-
-    plt.close('all')
-    fig = plt.figure(figsize=(5,4))
-
-    ax = plt.subplot(111)
-    im = ax.imshow(arr, interpolation="none")
-
-    plt.tight_layout()
-
-
-Caveats
--------
-
- * :func:`~matplotlib.pyplot.tight_layout` only considers ticklabels, axis
-   labels, and titles. Thus, other artists may be clipped and also may
-   overlap.
-
- * It assumes that the extra space needed for ticklabels, axis labels,
-   and titles is independent of original location of axes. This is
-   often true, but there are rare cases where it is not.
-
- * pad=0 clips some of the texts by a few pixels. This may be a bug or
-   a limitation of the current algorithm and it is not clear why it
-   happens. Meanwhile, use of pad at least larger than 0.3 is
-   recommended.
-
-
-
-
-Use with GridSpec
------------------
-
-GridSpec has its own :func:`~matplotlib.gridspec.GridSpec.tight_layout` method
-(the pyplot api :func:`~matplotlib.pyplot.tight_layout` also works).
-
-.. plot::
-   :include-source:
-   :context:
-
-    plt.close('all')
-    fig = plt.figure()
-
-    import matplotlib.gridspec as gridspec
-
-    gs1 = gridspec.GridSpec(2, 1)
-    ax1 = fig.add_subplot(gs1[0])
-    ax2 = fig.add_subplot(gs1[1])
-
-    example_plot(ax1)
-    example_plot(ax2)
-
-    gs1.tight_layout(fig)
-
-
-You may provide an optional *rect* parameter, which specifies the bounding box
-that the subplots will be fit inside. The coordinates must be in normalized
-figure coordinates and the default is (0, 0, 1, 1).
-
-.. plot::
-   :include-source:
-   :context:
-
-   gs1.tight_layout(fig, rect=[0, 0, 0.5, 1])
-
-
-For example, this can be used for a figure with multiple gridspecs.
-
-.. plot::
-   :include-source:
-   :context:
-
-    gs2 = gridspec.GridSpec(3, 1)
-    
-    for ss in gs2:
-        ax = fig.add_subplot(ss)
-        example_plot(ax)
-        ax.set_title("")
-        ax.set_xlabel("")
-        
-    ax.set_xlabel("x-label", fontsize=12)
-
-    gs2.tight_layout(fig, rect=[0.5, 0, 1, 1], h_pad=0.5)
-
-
-We may try to match the top and bottom of two grids ::
-
-    top = min(gs1.top, gs2.top)
-    bottom = max(gs1.bottom, gs2.bottom)
-
-    gs1.update(top=top, bottom=bottom)
-    gs2.update(top=top, bottom=bottom)
-    
-
-While this should be mostly good enough, adjusting top and bottom
-may require adjustment of hspace also.  To update hspace & vspace, we
-call :func:`~matplotlib.gridspec.GridSpec.tight_layout` again with updated
-rect argument. Note that the rect argument specifies the area including the
-ticklabels, etc.  Thus, we will increase the bottom (which is 0 for the normal
-case) by the difference between the *bottom* from above and the bottom of each
-gridspec. Same thing for the top.
-
-.. plot::
-   :include-source:
-   :context:
-
-   top = min(gs1.top, gs2.top)
-   bottom = max(gs1.bottom, gs2.bottom)
-
-   gs1.tight_layout(fig, rect=[None, 0 + (bottom-gs1.bottom),
-                               0.5, 1 - (gs1.top-top)])
-   gs2.tight_layout(fig, rect=[0.5, 0 + (bottom-gs2.bottom),
-   		               None, 1 - (gs2.top-top)],
-		    h_pad=0.5)
-
-
-
-Use with AxesGrid1
-------------------
-
-While limited, the axes_grid1 toolkit is also supported.
-
-
-.. plot::
-   :include-source:
-   :context:
-
-    plt.close('all')
-    fig = plt.figure()
-
-    from mpl_toolkits.axes_grid1 import Grid
-    grid = Grid(fig, rect=111, nrows_ncols=(2,2), 
-                axes_pad=0.25, label_mode='L',
-                )
-
-    for ax in grid:
-    	example_plot(ax)
-	ax.title.set_visible(False)
-
-    plt.tight_layout()
-
-
-
-Colorbar
---------
-
-If you create a colorbar with the :func:`~matplotlib.pyplot.colorbar`
-command, the created colorbar is an instance of Axes, *not* Subplot, so
-tight_layout does not work. With Matplotlib v1.1, you may create a
-colorbar as a subplot using the gridspec.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.close('all')
-   fig = plt.figure(figsize=(4, 4))
-   im = plt.imshow(arr, interpolation="none")
-
-   plt.colorbar(im, use_gridspec=True)
-
-   plt.tight_layout()
-
-Another option is to use AxesGrid1 toolkit to
-explicitly create an axes for colorbar.
-
-.. plot::
-   :include-source:
-   :context:
-
-   plt.close('all')
-   fig = plt.figure(figsize=(4, 4))
-   im = plt.imshow(arr, interpolation="none")
-
-   from mpl_toolkits.axes_grid1 import make_axes_locatable
-   divider = make_axes_locatable(plt.gca())
-   cax = divider.append_axes("right", "5%", pad="3%")
-   plt.colorbar(im, cax=cax)
-
-   plt.tight_layout()
-
-
-
-
diff --git a/doc/users/transforms_tutorial.rst b/doc/users/transforms_tutorial.rst
deleted file mode 100644
index 46c509dc6ad3..000000000000
--- a/doc/users/transforms_tutorial.rst
+++ /dev/null
@@ -1,456 +0,0 @@
-.. _transforms_tutorial:
-
-**************************
-Transformations Tutorial
-**************************
-
-Like any graphics packages, matplotlib is built on top of a
-transformation framework to easily move between coordinate systems,
-the userland `data` coordinate system, the `axes` coordinate system,
-the `figure` coordinate system, and the `display` coordinate system.
-In 95% of your plotting, you won't need to think about this, as it
-happens under the hood, but as you push the limits of custom figure
-generation, it helps to have an understanding of these objects so you
-can reuse the existing transformations matplotlib makes available to
-you, or create your own (see :mod:`matplotlib.transforms`).  The table
-below summarizes the existing coordinate systems, the transformation
-object you should use to work in that coordinate system, and the
-description of that system. In the `Transformation Object` column,
-``ax`` is a :class:`~matplotlib.axes.Axes` instance, and ``fig`` is a
-:class:`~matplotlib.figure.Figure` instance.
-
-==========  =====================  ====================================================================================
-Coordinate  Transformation Object  Description
-==========  =====================  ====================================================================================
-`data`      ``ax.transData``       The userland data coordinate system, controlled by the xlim and ylim
-`axes`      ``ax.transAxes``       The coordinate system of the :class:`~matplotlib.axes.Axes`; (0,0) is
-                                   bottom left of the axes, and (1,1) is top right of the axes.
-`figure`    ``fig.transFigure``    The coordinate system of the :class:`~matplotlib.figure.Figure`; (0,0)
-                                   is bottom left of the figure, and (1,1) is top right of the figure.
-`display`   `None`                 This is the pixel coordinate system of the display; (0,0) is the bottom
-                                   left of the display, and (width, height) is the top right of the display in pixels.
-                                   Alternatively, the identity transform
-                                   (:class:`matplotlib.transforms.IdentityTransform()`) may be used instead of None.
-==========  =====================  ====================================================================================
-
-
-All of the transformation objects in the table above take inputs in
-their coordinate system, and transform the input to the `display`
-coordinate system.  That is why the `display` coordinate system has
-`None` for the `Transformation Object` column -- it already is in
-display coordinates.  The transformations also know how to invert
-themselves, to go from `display` back to the native coordinate system.
-This is particularly useful when processing events from the user
-interface, which typically occur in display space, and you want to
-know where the mouse click or key-press occurred in your data
-coordinate system.
-
-.. _data-coords:
-
-Data coordinates
-================
-
-Let's start with the most commonly used coordinate, the `data`
-coordinate system.  Whenever you add data to the axes, matplotlib
-updates the datalimits, most commonly updated with the
-:meth:`~matplotlib.axes.Axes.set_xlim` and
-:meth:`~matplotlib.axes.Axes.set_ylim` methods.  For example, in the
-figure below, the data limits stretch from 0 to 10 on the x-axis, and
--1 to 1 on the y-axis.
-
-.. plot::
-   :include-source:
-
-   import numpy as np
-   import matplotlib.pyplot as plt
-
-   x = np.arange(0, 10, 0.005)
-   y = np.exp(-x/2.) * np.sin(2*np.pi*x)
-
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-   ax.plot(x, y)
-   ax.set_xlim(0, 10)
-   ax.set_ylim(-1, 1)
-
-   plt.show()
-
-You can use the ``ax.transData`` instance to transform from your
-`data` to your `display` coordinate system, either a single point or a
-sequence of points as shown below:
-
-.. sourcecode:: ipython
-
-    In [14]: type(ax.transData)
-    Out[14]: <class 'matplotlib.transforms.CompositeGenericTransform'>
-
-    In [15]: ax.transData.transform((5, 0))
-    Out[15]: array([ 335.175,  247.   ])
-
-    In [16]: ax.transData.transform([(5, 0), (1,2)])
-    Out[16]:
-    array([[ 335.175,  247.   ],
-           [ 132.435,  642.2  ]])
-
-You can use the :meth:`~matplotlib.transforms.Transform.inverted`
-method to create a transform which will take you from display to data
-coordinates:
-
-.. sourcecode:: ipython
-
-    In [41]: inv = ax.transData.inverted()
-
-    In [42]: type(inv)
-    Out[42]: <class 'matplotlib.transforms.CompositeGenericTransform'>
-
-    In [43]: inv.transform((335.175,  247.))
-    Out[43]: array([ 5.,  0.])
-
-If your are typing along with this tutorial, the exact values of the
-display coordinates may differ if you have a different window size or
-dpi setting.  Likewise, in the figure below, the display labeled
-points are probably not the same as in the ipython session because the
-documentation figure size defaults are different.
-
-.. plot:: pyplots/annotate_transform.py
-
-
-.. note::
-
-  If you run the source code in the example above in a GUI backend,
-  you may also find that the two arrows for the `data` and `display`
-  annotations do not point to exactly the same point.  This is because
-  the display point was computed before the figure was displayed, and
-  the GUI backend may slightly resize the figure when it is created.
-  The effect is more pronounced if you resize the figure yourself.
-  This is one good reason why you rarely want to work in display
-  space, but you can connect to the ``'on_draw'``
-  :class:`~matplotlib.backend_bases.Event` to update figure
-  coordinates on figure draws; see :ref:`event-handling-tutorial`.
-
-When you change the x or y limits of your axes, the data limits are
-updated so the transformation yields a new display point.  Note that
-when we just change the ylim, only the y-display coordinate is
-altered, and when we change the xlim too, both are altered.  More on
-this later when we talk about the
-:class:`~matplotlib.transforms.Bbox`.
-
-.. sourcecode:: ipython
-
-    In [54]: ax.transData.transform((5, 0))
-    Out[54]: array([ 335.175,  247.   ])
-
-    In [55]: ax.set_ylim(-1,2)
-    Out[55]: (-1, 2)
-
-    In [56]: ax.transData.transform((5, 0))
-    Out[56]: array([ 335.175     ,  181.13333333])
-
-    In [57]: ax.set_xlim(10,20)
-    Out[57]: (10, 20)
-
-    In [58]: ax.transData.transform((5, 0))
-    Out[58]: array([-171.675     ,  181.13333333])
-
-
-
-.. _axes-coords:
-
-Axes coordinates
-================
-
-After the `data` coordinate system, `axes` is probably the second most
-useful coordinate system.  Here the point (0,0) is the bottom left of
-your axes or subplot, (0.5, 0.5) is the center, and (1.0, 1.0) is the
-top right.  You can also refer to points outside the range, so (-0.1,
-1.1) is to the left and above your axes.  This coordinate system is
-extremely useful when placing text in your axes, because you often
-want a text bubble in a fixed, location, e.g., the upper left of the axes
-pane, and have that location remain fixed when you pan or zoom.  Here
-is a simple example that creates four panels and labels them 'A', 'B',
-'C', 'D' as you often see in journals.
-
-.. plot::
-   :include-source:
-
-   import numpy as np
-   import matplotlib.pyplot as plt
-
-   fig = plt.figure()
-   for i, label in enumerate(('A', 'B', 'C', 'D')):
-       ax = fig.add_subplot(2,2,i+1)
-       ax.text(0.05, 0.95, label, transform=ax.transAxes,
-         fontsize=16, fontweight='bold', va='top')
-
-   plt.show()
-
-You can also make lines or patches in the axes coordinate system, but
-this is less useful in my experience than using ``ax.transAxes`` for
-placing text.  Nonetheless, here is a silly example which plots some
-random dots in `data` space, and overlays a semi-transparent
-:class:`~matplotlib.patches.Circle` centered in the middle of the axes
-with a radius one quarter of the axes -- if your axes does not
-preserve aspect ratio (see :meth:`~matplotlib.axes.Axes.set_aspect`),
-this will look like an ellipse.  Use the pan/zoom tool to move around,
-or manually change the data xlim and ylim, and you will see the data
-move, but the circle will remain fixed because it is not in `data`
-coordinates and will always remain at the center of the axes.
-
-.. plot::
-   :include-source:
-
-   import numpy as np
-   import matplotlib.pyplot as plt
-   import matplotlib.patches as patches
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-   x, y = 10*np.random.rand(2, 1000)
-   ax.plot(x, y, 'go')  # plot some data in data coordinates
-
-   circ = patches.Circle((0.5, 0.5), 0.25, transform=ax.transAxes,
-                         facecolor='yellow', alpha=0.5)
-   ax.add_patch(circ)
-
-   plt.show()
-
-.. blended_transformations:
-
-Blended transformations
-=======================
-
-Drawing in `blended` coordinate spaces which mix `axes` with `data`
-coordinates is extremely useful, for example to create a horizontal
-span which highlights some region of the y-data but spans across the
-x-axis regardless of the data limits, pan or zoom level, etc.  In fact
-these blended lines and spans are so useful, we have built in
-functions to make them easy to plot (see
-:meth:`~matplotlib.axes.Axes.axhline`,
-:meth:`~matplotlib.axes.Axes.axvline`,
-:meth:`~matplotlib.axes.Axes.axhspan`,
-:meth:`~matplotlib.axes.Axes.axvspan`) but for didactic purposes we
-will implement the horizontal span here using a blended
-transformation.  This trick only works for separable transformations,
-like you see in normal Cartesian coordinate systems, but not on
-inseparable transformations like the
-:class:`~matplotlib.projections.polar.PolarAxes.PolarTransform`.
-
-.. plot::
-   :include-source:
-
-   import numpy as np
-   import matplotlib.pyplot as plt
-   import matplotlib.patches as patches
-   import matplotlib.transforms as transforms
-
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-
-   x = np.random.randn(1000)
-
-   ax.hist(x, 30)
-   ax.set_title(r'$\sigma=1 \/ \dots \/ \sigma=2$', fontsize=16)
-
-   # the x coords of this transformation are data, and the
-   # y coord are axes
-   trans = transforms.blended_transform_factory(
-       ax.transData, ax.transAxes)
-
-   # highlight the 1..2 stddev region with a span.
-   # We want x to be in data coordinates and y to
-   # span from 0..1 in axes coords
-   rect = patches.Rectangle((1,0), width=1, height=1,
-                            transform=trans, color='yellow',
-                            alpha=0.5)
-
-   ax.add_patch(rect)
-
-   plt.show()
-
-.. note::
-
-  The blended transformations where x is in data coords and y in axes
-  coordinates is so useful that we have helper methods to return the
-  versions mpl uses internally for drawing ticks, ticklabels, etc.
-  The methods are :meth:`matplotlib.axes.Axes.get_xaxis_transform` and
-  :meth:`matplotlib.axes.Axes.get_yaxis_transform`.  So in the example
-  above, the call to
-  :meth:`~matplotlib.transforms.blended_transform_factory` can be
-  replaced by ``get_xaxis_transform``::
-
-    trans = ax.get_xaxis_transform()
-
-.. offset-transforms-shadow:
-
-Using offset transforms to create a shadow effect
-=================================================
-
-One use of transformations is to create a new transformation that is
-offset from another transformation, e.g., to place one object shifted a
-bit relative to another object.  Typically you want the shift to be in
-some physical dimension, like points or inches rather than in data
-coordinates, so that the shift effect is constant at different zoom
-levels and dpi settings.
-
-One use for an offset is to create a shadow effect, where you draw one
-object identical to the first just to the right of it, and just below
-it, adjusting the zorder to make sure the shadow is drawn first and
-then the object it is shadowing above it.  The transforms module has a
-helper transformation
-:class:`~matplotlib.transforms.ScaledTranslation`.  It is
-instantiated with::
-
-  trans = ScaledTranslation(xt, yt, scale_trans)
-
-where `xt` and `yt` are the translation offsets, and `scale_trans` is
-a transformation which scales `xt` and `yt` at transformation time
-before applying the offsets.  A typical use case is to use the figure
-``fig.dpi_scale_trans`` transformation for the `scale_trans` argument,
-to first scale `xt` and `yt` specified in points to `display` space
-before doing the final offset.  The dpi and inches offset is a
-common-enough use case that we have a special helper function to
-create it in :func:`matplotlib.transforms.offset_copy`, which returns
-a new transform with an added offset.  But in the example below, we'll
-create the offset transform ourselves.  Note the use of the plus
-operator in::
-
-    offset = transforms.ScaledTranslation(dx, dy,
-      fig.dpi_scale_trans)
-    shadow_transform = ax.transData + offset
-
-showing that can chain transformations using the addition operator.
-This code says: first apply the data transformation ``ax.transData``
-and then translate the data by `dx` and `dy` points.  In typography,
-a`point <http://en.wikipedia.org/wiki/Point_%28typography%29>`_ is
-1/72 inches, and by specifying your offsets in points, your figure
-will look the same regardless of the dpi resolution it is saved in.
-
-.. plot::
-   :include-source:
-
-   import numpy as np
-   import matplotlib.pyplot as plt
-   import matplotlib.patches as patches
-   import matplotlib.transforms as transforms
-
-   fig = plt.figure()
-   ax = fig.add_subplot(111)
-
-   # make a simple sine wave
-   x = np.arange(0., 2., 0.01)
-   y = np.sin(2*np.pi*x)
-   line, = ax.plot(x, y, lw=3, color='blue')
-
-   # shift the object over 2 points, and down 2 points
-   dx, dy = 2/72., -2/72.
-   offset = transforms.ScaledTranslation(dx, dy,
-     fig.dpi_scale_trans)
-   shadow_transform = ax.transData + offset
-
-   # now plot the same data with our offset transform;
-   # use the zorder to make sure we are below the line
-   ax.plot(x, y, lw=3, color='gray',
-     transform=shadow_transform,
-     zorder=0.5*line.get_zorder())
-
-   ax.set_title('creating a shadow effect with an offset transform')
-   plt.show()
-
-
-.. transformation-pipeline:
-
-The transformation pipeline
-===========================
-
-The ``ax.transData`` transform we have been working with in this
-tutorial is a composite of three different transformations that
-comprise the transformation pipeline from `data` -> `display`
-coordinates.  Michael Droettboom implemented the transformations
-framework, taking care to provide a clean API that segregated the
-nonlinear projections and scales that happen in polar and logarithmic
-plots, from the linear affine transformations that happen when you pan
-and zoom.  There is an efficiency here, because you can pan and zoom
-in your axes which affects the affine transformation, but you may not
-need to compute the potentially expensive nonlinear scales or
-projections on simple navigation events.  It is also possible to
-multiply affine transformation matrices together, and then apply them
-to coordinates in one step.  This is not true of all possible
-transformations.
-
-
-Here is how the ``ax.transData`` instance is defined in the basic
-separable axis :class:`~matplotlib.axes.Axes` class::
-
-  self.transData = self.transScale + (self.transLimits + self.transAxes)
-
-We've been introduced to the ``transAxes`` instance above in
-:ref:`axes-coords`, which maps the (0,0), (1,1) corners of the
-axes or subplot bounding box to `display` space, so let's look at
-these other two pieces.
-
-``self.transLimits`` is the transformation that takes you from
-``data`` to ``axes`` coordinates; i.e., it maps your view xlim and ylim
-to the unit space of the axes (and ``transAxes`` then takes that unit
-space to display space).  We can see this in action here
-
-.. sourcecode:: ipython
-
-    In [80]: ax = subplot(111)
-
-    In [81]: ax.set_xlim(0, 10)
-    Out[81]: (0, 10)
-
-    In [82]: ax.set_ylim(-1,1)
-    Out[82]: (-1, 1)
-
-    In [84]: ax.transLimits.transform((0,-1))
-    Out[84]: array([ 0.,  0.])
-
-    In [85]: ax.transLimits.transform((10,-1))
-    Out[85]: array([ 1.,  0.])
-
-    In [86]: ax.transLimits.transform((10,1))
-    Out[86]: array([ 1.,  1.])
-
-    In [87]: ax.transLimits.transform((5,0))
-    Out[87]: array([ 0.5,  0.5])
-
-and we can use this same inverted transformation to go from the unit
-`axes` coordinates back to `data` coordinates.
-
-.. sourcecode:: ipython
-
-    In [90]: inv.transform((0.25, 0.25))
-    Out[90]: array([ 2.5, -0.5])
-
-The final piece is the ``self.transScale`` attribute, which is
-responsible for the optional non-linear scaling of the data, e.g., for
-logarithmic axes.  When an Axes is initially setup, this is just set to
-the identity transform, since the basic matplotlib axes has linear
-scale, but when you call a logarithmic scaling function like
-:meth:`~matplotlib.axes.Axes.semilogx` or explicitly set the scale to
-logarithmic with :meth:`~matplotlib.axes.Axes.set_xscale`, then the
-``ax.transScale`` attribute is set to handle the nonlinear projection.
-The scales transforms are properties of the respective ``xaxis`` and
-``yaxis`` :class:`~matplotlib.axis.Axis` instances.  For example, when
-you call ``ax.set_xscale('log')``, the xaxis updates its scale to a
-:class:`matplotlib.scale.LogScale` instance.
-
-For non-separable axes the PolarAxes, there is one more piece to
-consider, the projection transformation.  The ``transData``
-:class:`matplotlib.projections.polar.PolarAxes` is similar to that for
-the typical separable matplotlib Axes, with one additional piece
-``transProjection``::
-
-      self.transData = self.transScale + self.transProjection + \
-          (self.transProjectionAffine + self.transAxes)
-
-``transProjection`` handles the projection from the space,
-e.g., latitude and longitude for map data, or radius and theta for polar
-data, to a separable Cartesian coordinate system.  There are several
-projection examples in the ``matplotlib.projections`` package, and the
-best way to learn more is to open the source for those packages and
-see how to make your own, since matplotlib supports extensible axes
-and projections.  Michael Droettboom has provided a nice tutorial
-example of creating a hammer projection axes; see
-:ref:`api-custom_projection_example`.
-
diff --git a/doc/users/usetex.rst b/doc/users/usetex.rst
deleted file mode 100644
index fb8ebdc2f85a..000000000000
--- a/doc/users/usetex.rst
+++ /dev/null
@@ -1,158 +0,0 @@
-.. _usetex-tutorial:
-
-*************************
-Text rendering With LaTeX
-*************************
-
-Matplotlib has the option to use LaTeX to manage all text layout.  This
-option is available with the following backends:
-
-* Agg
-* PS
-* PDF
-
-The LaTeX option is activated by setting ``text.usetex : True`` in
-your rc settings.  Text handling with matplotlib's LaTeX support is
-slower than matplotlib's very capable :ref:`mathtext
-<mathtext-tutorial>`, but is more flexible, since different LaTeX
-packages (font packages, math packages, etc.)  can be used. The
-results can be striking, especially when you take care to use the same
-fonts in your figures as in the main document.
-
-Matplotlib's LaTeX support requires a working LaTeX_ installation, dvipng_
-(which may be included with your LaTeX installation), and Ghostscript_
-(GPL Ghostscript 8.60 or later is recommended). The executables for these
-external dependencies must all be located on your :envvar:`PATH`.
-
-There are a couple of options to mention, which can be changed using :ref:`rc
-settings <customizing-matplotlib>`. Here is an example matplotlibrc file::
-
-  font.family        : serif
-  font.serif         : Times, Palatino, New Century Schoolbook, Bookman, Computer Modern Roman
-  font.sans-serif    : Helvetica, Avant Garde, Computer Modern Sans serif
-  font.cursive       : Zapf Chancery
-  font.monospace     : Courier, Computer Modern Typewriter
-
-  text.usetex        : true
-
-The first valid font in each family is the one that will be loaded. If the
-fonts are not specified, the Computer Modern fonts are used by default. All of
-the other fonts are Adobe fonts. Times and Palatino each have their own
-accompanying math fonts, while the other Adobe serif fonts make use of the
-Computer Modern math fonts. See the PSNFSS_ documentation for more details.
-
-To use LaTeX and select Helvetica as the default font, without editing
-matplotlibrc use::
-
-  from matplotlib import rc
-  rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
-  ## for Palatino and other serif fonts use:
-  #rc('font',**{'family':'serif','serif':['Palatino']})
-  rc('text', usetex=True)
-
-Here is the standard example, `tex_demo.py`:
-
-.. plot:: pyplots/tex_demo.py
-   :include-source:
-
-Note that display math mode (``$$ e=mc^2 $$``) is  not supported, but adding the
-command ``\displaystyle``, as in `tex_demo.py`, will produce the same
-results.
-
-.. note::
-   Certain characters require special escaping in TeX, such as::
-
-     # $ % & ~ _ ^ \ { } \( \) \[ \]
-
-   Therefore, these characters will behave differently depending on
-   the rcParam ``text.usetex`` flag.
-
-.. _usetex-unicode:
-
-usetex with unicode
-===================
-It is also possible to use unicode strings with the LaTeX text manager, here is
-an example taken from `tex_unicode_demo.py`:
-
-.. plot:: mpl_examples/pylab_examples/tex_unicode_demo.py
-   :include-source:
-
-.. _usetex-postscript:
-
-Postscript options
-==================
-
-In order to produce encapsulated postscript files that can be embedded in a new
-LaTeX document, the default behavior of matplotlib is to distill the output,
-which removes some postscript operators used by LaTeX that are illegal in an
-eps file. This step produces results which may be unacceptable to some users,
-because the text is coarsely rasterized and converted to bitmaps, which are not
-scalable like standard postscript, and the text is not searchable. One
-workaround is to to set ``ps.distiller.res`` to a higher value (perhaps 6000)
-in your rc settings, which will produce larger files but may look better and
-scale reasonably. A better workaround, which requires Poppler_ or Xpdf_, can be
-activated by changing the ``ps.usedistiller`` rc setting to ``xpdf``. This
-alternative produces postscript without rasterizing text, so it scales
-properly, can be edited in Adobe Illustrator, and searched text in pdf
-documents.
-
-.. _usetex-hangups:
-
-Possible hangups
-================
-
-* On Windows, the :envvar:`PATH` environment variable may need to be modified
-  to include the directories containing the latex, dvipng and ghostscript
-  executables. See :ref:`environment-variables` and
-  :ref:`setting-windows-environment-variables` for details.
-
-* Using MiKTeX with Computer Modern fonts, if you get odd \*Agg and PNG
-  results, go to MiKTeX/Options and update your format files
-
-* The fonts look terrible on screen. You are probably running Mac OS, and there
-  is some funny business with older versions of dvipng on the mac. Set
-  ``text.dvipnghack : True`` in your matplotlibrc file.
-
-* On Ubuntu and Gentoo, the base texlive install does not ship with
-  the type1cm package. You may need to install some of the extra
-  packages to get all the goodies that come bundled with other latex
-  distributions.
-
-* Some progress has been made so matplotlib uses the dvi files
-  directly for text layout. This allows latex to be used for text
-  layout with the pdf and svg backends, as well as the \*Agg and PS
-  backends. In the future, a latex installation may be the only
-  external dependency.
-
-.. _usetex-troubleshooting:
-
-Troubleshooting
-===============
-
-* Try deleting your :file:`.matplotlib/tex.cache` directory. If you don't know
-  where to find :file:`.matplotlib`, see :ref:`locating-matplotlib-config-dir`.
-
-* Make sure LaTeX, dvipng and ghostscript are each working and on your
-  :envvar:`PATH`.
-
-* Make sure what you are trying to do is possible in a LaTeX document,
-  that your LaTeX syntax is valid and that you are using raw strings
-  if necessary to avoid unintended escape sequences.
-
-* Most problems reported on the mailing list have been cleared up by
-  upgrading Ghostscript_. If possible, please try upgrading to the
-  latest release before reporting problems to the list.
-
-* The ``text.latex.preamble`` rc setting is not officially supported. This
-  option provides lots of flexibility, and lots of ways to cause
-  problems. Please disable this option before reporting problems to
-  the mailing list.
-
-* If you still need help, please see :ref:`reporting-problems`
-
-.. _LaTeX: http://www.tug.org
-.. _dvipng: http://sourceforge.net/projects/dvipng
-.. _Ghostscript: http://www.cs.wisc.edu/~ghost/
-.. _PSNFSS: http://www.ctan.org/tex-archive/macros/latex/required/psnfss/psnfss2e.pdf
-.. _Poppler: http://poppler.freedesktop.org/
-.. _Xpdf: http://www.foolabs.com/xpdf
diff --git a/doc/users/whats_new.rst b/doc/users/whats_new.rst
deleted file mode 100644
index 5cc2832717e4..000000000000
--- a/doc/users/whats_new.rst
+++ /dev/null
@@ -1,1725 +0,0 @@
-.. _whats-new:
-
-************************
-What's new in matplotlib
-************************
-
-This page just covers the highlights -- for the full story, see the
-`CHANGELOG <http://matplotlib.org/_static/CHANGELOG>`_
-
-For a list of all of the issues and pull requests since the last
-revision, see the :ref:`github-stats`.
-
-.. note::
-   matplotlib 1.4 supports Python 2.6, 2.7, 3.3, and 3.4
-
-   matplotlib 1.3 supports Python 2.6, 2.7, 3.2, and 3.3
-
-   matplotlib 1.2 supports Python 2.6, 2.7, and 3.1
-
-   matplotlib 1.1 supports Python 2.4 to 2.7
-
-
-
-.. contents:: Table of Contents
-   :depth: 3
-
-.. _whats-new-1-5:
-
-new in matplotlib-1.5
-=====================
-
-Legend
-------
-Added ability to place the label before the marker in a legend box with
-``markerfirst`` keyword
-
-
-Widgets
--------
-
-Active state of Selectors
-`````````````````````````
-
-All selectors now implement ``set_active`` and ``get_active`` methods (also
-called when accessing the ``active`` property) to properly update and query
-whether they are active.
-
-
-New plotting features
----------------------
-
-Support for legend for PolyCollection and stackplot
-```````````````````````````````````````````````````
-Added a `legend_handler` for :class:`~matplotlib.collections.PolyCollection` as well as a `labels` argument to
-:func:`~matplotlib.axes.Axes.stackplot`.
-
-Support for alternate pivots in mplot3d quiver plot
-```````````````````````````````````````````````````
-Added a :code:`pivot` kwarg to :func:`~mpl_toolkits.mplot3d.Axes3D.quiver`
-that controls the pivot point around which the quiver line rotates. This also
-determines the placement of the arrow head along the quiver line.
-
-.. _whats-new-1-4:
-
-new in matplotlib-1.4
-=====================
-
-Thomas A. Caswell served as the release manager for the 1.4 release.
-
-New colormap
-------------
-In heatmaps, a green-to-red spectrum is often used to indicate intensity of
-activity, but this can be problematic for the red/green colorblind. A new,
-colorblind-friendly colormap is now available at :class:`matplotlib.cm.Wistia`.
-This colormap maintains the red/green symbolism while achieving deuteranopic
-legibility through brightness variations. See
-`here <https://github.com/wistia/heatmap-palette>`_
-for more information.
-
-The nbagg backend
------------------
-Phil Elson added a new backend, named "nbagg", which enables interactive
-figures in a live IPython notebook session. The backend makes use of the
-infrastructure developed for the webagg backend, which itself gives
-standalone server backed interactive figures in the browser, however nbagg
-does not require a dedicated matplotlib server as all communications are
-handled through the IPython Comm machinery.
-
-As with other backends nbagg can be enabled inside the IPython notebook with::
-
-    import matplotlib
-    matplotlib.use('nbagg')
-
-Once figures are created and then subsequently shown, they will placed in an
-interactive widget inside the notebook allowing panning and zooming in the
-same way as any other matplotlib backend. Because figures require a connection
-to the IPython notebook server for their interactivity, once the notebook is
-saved, each figure will be rendered as a static image - thus allowing
-non-interactive viewing of figures on services such as
-`nbviewer <http://nbviewer.ipython.org/>`_.
-
-
-
-New plotting features
----------------------
-
-Power-law normalization
-```````````````````````
-Ben Gamari added a power-law normalization method,
-:class:`~matplotlib.colors.PowerNorm`. This class maps a range of
-values to the interval [0,1] with power-law scaling with the exponent
-provided by the constructor's `gamma` argument. Power law normalization
-can be useful for, e.g., emphasizing small populations in a histogram.
-
-Fully customizable boxplots
-```````````````````````````
-Paul Hobson overhauled the :func:`~matplotlib.pyplot.boxplot` method such
-that it is now completely customizable in terms of the styles and positions
-of the individual artists. Under the hood, :func:`~matplotlib.pyplot.boxplot`
-relies on a new function (:func:`~matplotlib.cbook.boxplot_stats`), which
-accepts any data structure currently compatible with
-:func:`~matplotlib.pyplot.boxplot`, and returns a list of dictionaries
-containing the positions for each element of the boxplots. Then
-a second method, :func:`~matplotlib.Axes.bxp` is called to draw the boxplots
-based on the stats.
-
-The :func:`~matplotlib.pyplot.boxplot` function can be used as before to
-generate boxplots from data in one step. But now the user has the
-flexibility to generate the statistics independently, or to modify the
-output of :func:`~matplotlib.cbook.boxplot_stats` prior to plotting
-with :func:`~matplotlib.Axes.bxp`.
-
-Lastly, each artist (e.g., the box, outliers, cap, notches) can now be
-toggled on or off and their styles can be passed in through individual
-kwargs. See the examples:
-:ref:`statistics-boxplot_demo` and
-:ref:`statistics-bxp_demo`
-
-Added a bool kwarg, :code:`manage_xticks`, which if False disables the management
-of the ticks and limits on the x-axis by :func:`~matplotlib.axes.Axes.bxp`.
-
-Support for datetime axes in 2d plots
-`````````````````````````````````````
-Andrew Dawson added support for datetime axes to
-:func:`~matplotlib.pyplot.contour`, :func:`~matplotlib.pyplot.contourf`,
-:func:`~matplotlib.pyplot.pcolormesh` and :func:`~matplotlib.pyplot.pcolor`.
-
-Support for additional spectrum types
-`````````````````````````````````````
-Todd Jennings added support for new types of frequency spectrum plots:
-:func:`~matplotlib.pyplot.magnitude_spectrum`,
-:func:`~matplotlib.pyplot.phase_spectrum`, and
-:func:`~matplotlib.pyplot.angle_spectrum`, as well as corresponding functions
-in mlab.
-
-He also added these spectrum types to :func:`~matplotlib.pyplot.specgram`,
-as well as adding support for linear scaling there (in addition to the
-existing dB scaling). Support for additional spectrum types was also added to
-:func:`~matplotlib.mlab.specgram`.
-
-He also increased the performance for all of these functions and plot types.
-
-Support for detrending and windowing 2D arrays in mlab
-``````````````````````````````````````````````````````
-Todd Jennings added support for 2D arrays in the
-:func:`~matplotlib.mlab.detrend_mean`, :func:`~matplotlib.mlab.detrend_none`,
-and :func:`~matplotlib.mlab.detrend`, as well as adding
-:func:`~matplotlib.mlab.apply_window` which support windowing 2D arrays.
-
-Support for strides in mlab
-```````````````````````````
-Todd Jennings added some functions to mlab to make it easier to use numpy
-strides to create memory-efficient 2D arrays.  This includes
-:func:`~matplotlib.mlab.stride_repeat`, which repeats an array to create a 2D
-array, and :func:`~matplotlib.mlab.stride_windows`, which uses a moving window
-to create a 2D array from a 1D array.
-
-Formatter for new-style formatting strings
-``````````````````````````````````````````
-Added `FormatStrFormatterNewStyle` which does the same job as
-`FormatStrFormatter`, but accepts new-style formatting strings
-instead of printf-style formatting strings
-
-Consistent grid sizes in streamplots
-````````````````````````````````````
-:func:`~matplotlib.pyplot.streamplot` uses a base grid size of 30x30 for both
-`density=1` and `density=(1, 1)`. Previously a grid size of 30x30 was used for
-`density=1`, but a grid size of 25x25 was used for `density=(1, 1)`.
-
-Get a list of all tick labels (major and minor)
-```````````````````````````````````````````````
-Added the `kwarg` 'which' to :func:`~matplotlib.Axes.get_xticklabels`,
-:func:`~matplotlib.Axes.get_yticklabels` and
-:func:`~matplotlib.Axis.get_ticklabels`.  'which' can be 'major', 'minor', or
-'both' select which ticks to return, like
-:func:`~matplotlib.Axis.set_ticks_position`.  If 'which' is `None` then the old
-behaviour (controlled by the bool `minor`).
-
-Separate horizontal/vertical axes padding support in ImageGrid
-``````````````````````````````````````````````````````````````
-The `kwarg` 'axes_pad' to :class:`mpl_toolkits.axes_grid1.ImageGrid` can now
-be a tuple if separate horizontal/vertical padding is needed.
-This is supposed to be very helpful when you have a labelled legend next to
-every subplot and you need to make some space for legend's labels.
-
-Support for skewed transformations
-``````````````````````````````````
-The :class:`~matplotlib.transforms.Affine2D` gained additional methods
-`skew` and `skew_deg` to create skewed transformations. Additionally,
-matplotlib internals were cleaned up to support using such transforms in
-:class:`~matplotlib.Axes`. This transform is important for some plot types,
-specifically the Skew-T used in meteorology.
-
-.. plot:: mpl_examples/api/skewt.py
-
-Support for specifying properties of wedge and text in pie charts.
-``````````````````````````````````````````````````````````````````
-Added the `kwargs` 'wedgeprops' and 'textprops' to :func:`~matplotlib.Axes.pie`
-to accept properties for wedge and text objects in a pie. For example, one can
-specify wedgeprops = {'linewidth':3} to specify the width of the borders of
-the wedges in the pie. For more properties that the user can specify, look at
-the docs for the wedge and text objects.
-
-Fixed the direction of errorbar upper/lower limits
-``````````````````````````````````````````````````
-Larry Bradley fixed the :func:`~matplotlib.pyplot.errorbar` method such
-that the upper and lower limits (*lolims*, *uplims*, *xlolims*,
-*xuplims*) now point in the correct direction.
-
-More consistent add-object API for Axes
-```````````````````````````````````````
-Added the Axes method :meth:`~matplotlib.axes.Axes.add_image` to put image
-handling on a par with artists, collections, containers, lines, patches,
-and tables.
-
-Violin Plots
-````````````
-Per Parker, Gregory Kelsie, Adam Ortiz, Kevin Chan, Geoffrey Lee, Deokjae
-Donald Seo, and Taesu Terry Lim added a basic implementation for violin
-plots. Violin plots can be used to represent the distribution of sample data.
-They are similar to box plots, but use a kernel density estimation function to
-present a smooth approximation of the data sample used. The added features are:
-
-:func:`~matplotlib.Axes.violin` - Renders a violin plot from a collection of
-statistics.
-:func:`~matplotlib.cbook.violin_stats` - Produces a collection of statistics
-suitable for rendering a violin plot.
-:func:`~matplotlib.pyplot.violinplot` - Creates a violin plot from a set of
-sample data. This method makes use of :func:`~matplotlib.cbook.violin_stats`
-to process the input data, and :func:`~matplotlib.cbook.violin_stats` to
-do the actual rendering. Users are also free to modify or replace the output of
-:func:`~matplotlib.cbook.violin_stats` in order to customize the violin plots
-to their liking.
-
-This feature was implemented for a software engineering course at the
-University of Toronto, Scarborough, run in Winter 2014 by Anya Tafliovich.
-
-More `markevery` options to show only a subset of markers
-`````````````````````````````````````````````````````````
-Rohan Walker extended the `markevery` property in
-:class:`~matplotlib.lines.Line2D`.  You can now specify a subset of markers to
-show with an int, slice object, numpy fancy indexing, or float. Using a float
-shows markers at approximately equal display-coordinate-distances along the
-line.
-
-Added size related functions to specialized `Collections`
-`````````````````````````````````````````````````````````
-
-Added the `get_size` and `set_size` functions to control the size of
-elements of specialized collections (
-:class:`~matplotlib.collections.AsteriskPolygonCollection`
-:class:`~matplotlib.collections.BrokenBarHCollection`
-:class:`~matplotlib.collections.CircleCollection`
-:class:`~matplotlib.collections.PathCollection`
-:class:`~matplotlib.collections.PolyCollection`
-:class:`~matplotlib.collections.RegularPolyCollection`
-:class:`~matplotlib.collections.StarPolygonCollection`).
-
-
-Fixed the mouse coordinates giving the wrong theta value in Polar graph
-```````````````````````````````````````````````````````````````````````
-Added code to
-:func:`~matplotlib.InvertedPolarTransform.transform_non_affine`
-to ensure that the calculated theta value was between the range of 0 and 2 * pi
-since the problem was that the value can become negative after applying the
-direction and rotation to the theta calculation.
-
-Simple quiver plot for mplot3d toolkit
-``````````````````````````````````````
-A team of students in an *Engineering Large Software Systems* course, taught
-by Prof. Anya Tafliovich at the University of Toronto, implemented a simple
-version of a quiver plot in 3D space for the mplot3d toolkit as one of their
-term project. This feature is documented in :func:`~mpl_toolkits.mplot3d.Axes3D.quiver`.
-The team members are: Ryan Steve D'Souza, Victor B, xbtsw, Yang Wang, David,
-Caradec Bisesar and Vlad Vassilovski.
-
-.. plot:: mpl_examples/mplot3d/quiver3d_demo.py
-
-polar-plot r-tick locations
-```````````````````````````
-Added the ability to control the angular position of the r-tick labels
-on a polar plot via :func:`~matplotlib.Axes.axes.set_rlabel_position`.
-
-
-Date handling
--------------
-
-n-d array support for date conversion
-``````````````````````````````````````
-Andrew Dawson added support for n-d array handling to
-:func:`matplotlib.dates.num2date`, :func:`matplotlib.dates.date2num`
-and :func:`matplotlib.dates.datestr2num`. Support is also added to the unit
-conversion interfaces :class:`matplotlib.dates.DateConverter` and
-:class:`matplotlib.units.Registry`.
-
-
-Configuration (rcParams)
-------------------------
-
-
-``savefig.transparent`` added
-`````````````````````````````
-Controls whether figures are saved with a transparent
-background by default.  Previously `savefig` always defaulted
-to a non-transparent background.
-
-
-``axes.titleweight``
-````````````````````
-Added rcParam to control the weight of the title
-
-``axes.formatter.useoffset`` added
-``````````````````````````````````
-Controls the default value of `useOffset` in `ScalarFormatter`.  If
-`True` and the data range is much smaller than the data average, then
-an offset will be determined such that the tick labels are
-meaningful. If `False` then the full number will be formatted in all
-conditions.
-
-``nbagg.transparent`` added
-`````````````````````````````
-Controls whether nbagg figures have a transparent
-background. ``nbagg.transparent`` is ``True`` by default.
-
-
-XDG compliance
-``````````````
-Matplotlib now looks for configuration files (both rcparams and style) in XDG
-compliant locations.
-
-``style`` package added
------------------------
-You can now easily switch between different styles using the new ``style``
-package::
-
-   >>> from matplotlib import style
-   >>> style.use('dark_background')
-
-Subsequent plots will use updated colors, sizes, etc. To list all available
-styles, use::
-
-   >>> print style.available
-
-You can add your own custom ``<style name>.mplstyle`` files to
-``~/.matplotlib/stylelib`` or call ``use`` with a URL pointing to a file with
-``matplotlibrc`` settings.
-
-*Note that this is an experimental feature*, and the interface may change as
-users test out this new feature.
-
-Backends
---------
-Qt5 backend
-```````````
-Martin Fitzpatrick and Tom Badran implemented a Qt5 backend.  The differences
-in namespace locations between Qt4 and Qt5 was dealt with by shimming
-Qt4 to look like Qt5, thus the Qt5 implementation is the primary implementation.
-Backwards compatibility for Qt4 is maintained by wrapping the Qt5 implementation.
-
-The Qt5Agg backend currently does not work with IPython's %matplotlib magic.
-
-The 1.4.0 release has a known bug where the toolbar is broken.  This can be
-fixed by: ::
-
-   cd path/to/installed/matplotlib
-   wget https://github.com/matplotlib/matplotlib/pull/3322.diff
-   # unix2dos 3322.diff (if on windows to fix line endings)
-   patch -p2 < 3322.diff
-
-Qt4 backend
-```````````
-Rudolf Höfler changed the appearance of the subplottool. All sliders are
-vertically arranged now, buttons for tight layout and reset were
-added. Furthermore, the the subplottool is now implemented as a modal
-dialog. It was previously a QMainWindow, leaving the SPT open if one closed the
-plot window.
-
-In the figure options dialog one can now choose to (re-)generate a simple
-automatic legend. Any explicitly set legend entries will be lost, but changes to
-the curves' label, linestyle, et cetera will now be updated in the legend.
-
-Interactive performance of the Qt4 backend has been dramatically improved
-under windows.
-
-The mapping of key-signals from Qt to values matplotlib understands
-was greatly improved (For both Qt4 and Qt5).
-
-Cairo backends
-``````````````
-
-The Cairo backends are now able to use the `cairocffi bindings
-<https://github.com/SimonSapin/cairocffi>`__ which are more actively
-maintained than the `pycairo bindings
-<http://cairographics.org/pycairo/>`__.
-
-Gtk3Agg backend
-```````````````
-
-The Gtk3Agg backend now works on Python 3.x, if the `cairocffi
-bindings <https://github.com/SimonSapin/cairocffi>`__ are installed.
-
-PDF backend
-```````````
-Added context manager for saving to multi-page PDFs.
-
-Text
-----
-
-Text URLs supported by SVG backend
-``````````````````````````````````
-
-The `svg` backend will now render :class:`~matplotlib.text.Text` objects'
-url as a link in output SVGs.  This allows one to make clickable text in
-saved figures using the url kwarg of the :class:`~matplotlib.text.Text`
-class.
-
-Anchored sizebar font
-`````````````````````
-Added the ``fontproperties`` kwarg to
-:class:`~matplotilb.mpl_toolkits.axes_grid.anchored_artists.AnchoredSizeBar` to
-control the font properties.
-
-Sphinx extensions
------------------
-
-The ``:context:`` directive in the `~matplotlib.sphinxext.plot_directive`
-Sphinx extension can now accept an optional ``reset`` setting, which will
-cause the context to be reset. This allows more than one distinct context to
-be present in documentation. To enable this option, use ``:context: reset``
-instead of ``:context:`` any time you want to reset the context.
-
-Legend and PathEffects documentation
-------------------------------------
-The :ref:`plotting-guide-legend` and :ref:`patheffects-guide` have both been
-updated to better reflect the full potential of each of these powerful
-features.
-
-Widgets
--------
-
-Span Selector
-`````````````
-
-Added an option ``span_stays`` to the
-:class:`~matplotlib.widgets.SpanSelector` which makes the selector
-rectangle stay on the axes after you release the mouse.
-
-GAE integration
----------------
-Matplotlib will now run on google app engine.
-
-.. _whats-new-1-3:
-
-new in matplotlib-1.3
-=====================
-
-New in 1.3.1
-------------
-
-1.3.1 is a bugfix release, primarily dealing with improved setup and
-handling of dependencies, and correcting and enhancing the
-documentation.
-
-The following changes were made in 1.3.1 since 1.3.0.
-
-Enhancements
-````````````
-
-- Added a context manager for creating multi-page pdfs (see
-  `matplotlib.backends.backend_pdf.PdfPages`).
-
-- The WebAgg backend should now have lower latency over heterogeneous
-  Internet connections.
-
-Bug fixes
-`````````
-
-- Histogram plots now contain the endline.
-
-- Fixes to the Molleweide projection.
-
-- Handling recent fonts from Microsoft and Macintosh-style fonts with
-  non-ascii metadata is improved.
-
-- Hatching of fill between plots now works correctly in the PDF
-  backend.
-
-- Tight bounding box support now works in the PGF backend.
-
-- Transparent figures now display correctly in the Qt4Agg backend.
-
-- Drawing lines from one subplot to another now works.
-
-- Unit handling on masked arrays has been improved.
-
-Setup and dependencies
-``````````````````````
-
-- Now works with any version of pyparsing 1.5.6 or later, without displaying
-  hundreds of warnings.
-
-- Now works with 64-bit versions of Ghostscript on MS-Windows.
-
-- When installing from source into an environment without Numpy, Numpy
-  will first be downloaded and built and then used to build
-  matplotlib.
-
-- Externally installed backends are now always imported using a
-  fully-qualified path to the module.
-
-- Works with newer version of wxPython.
-
-- Can now build with a PyCXX installed globally on the system from source.
-
-- Better detection of Gtk3 dependencies.
-
-Testing
-```````
-
-- Tests should now work in non-English locales.
-
-- PEP8 conformance tests now report on locations of issues.
-
-
-New plotting features
----------------------
-
-`xkcd`-style sketch plotting
-````````````````````````````
-To give your plots a sense of authority that they may be missing,
-Michael Droettboom (inspired by the work of many others in
-:ghpull:`1329`) has added an `xkcd-style <http://xkcd.com/>`_ sketch
-plotting mode.  To use it, simply call :func:`matplotlib.pyplot.xkcd`
-before creating your plot. For really fine control, it is also possible
-to modify each artist's sketch parameters individually with
-:meth:`matplotlib.artist.Artist.set_sketch_params`.
-
-.. plot:: mpl_examples/showcase/xkcd.py
-
-Updated Axes3D.contour methods
-------------------------------
-Damon McDougall updated the
-:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.tricontour` and
-:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.tricontourf` methods to allow 3D
-contour plots on abitrary unstructured user-specified triangulations.
-
-.. plot:: mpl_examples/mplot3d/tricontour3d_demo.py
-
-New eventplot plot type
-```````````````````````
-Todd Jennings added a :func:`~matplotlib.pyplot.eventplot` function to
-create multiple rows or columns of identical line segments
-
-.. plot:: mpl_examples/pylab_examples/eventplot_demo.py
-
-As part of this feature, there is a new
-:class:`~matplotlib.collections.EventCollection` class that allows for
-plotting and manipulating rows or columns of identical line segments.
-
-Triangular grid interpolation
-`````````````````````````````
-Geoffroy Billotey and Ian Thomas added classes to perform
-interpolation within triangular grids:
-(:class:`~matplotlib.tri.LinearTriInterpolator` and
-:class:`~matplotlib.tri.CubicTriInterpolator`) and a utility class to
-find the triangles in which points lie
-(:class:`~matplotlib.tri.TrapezoidMapTriFinder`).  A helper class to
-perform mesh refinement and smooth contouring was also added
-(:class:`~matplotlib.tri.UniformTriRefiner`).  Finally, a class
-implementing some basic tools for triangular mesh improvement was
-added (:class:`~matplotlib.tri.TriAnalyzer`).
-
-.. plot:: mpl_examples/pylab_examples/tricontour_smooth_user.py
-
-Baselines for stackplot
-```````````````````````
-Till Stensitzki added non-zero baselines to
-:func:`~matplotlib.pyplot.stackplot`.  They may be symmetric or
-weighted.
-
-.. plot:: mpl_examples/pylab_examples/stackplot_demo2.py
-
-Rectangular colorbar extensions
-```````````````````````````````
-Andrew Dawson added a new keyword argument *extendrect* to
-:meth:`~matplotlib.pyplot.colorbar` to optionally make colorbar
-extensions rectangular instead of triangular.
-
-More robust boxplots
-````````````````````
-Paul Hobson provided a fix to the :func:`~matplotlib.pyplot.boxplot`
-method that prevent whiskers from being drawn inside the box for
-oddly distributed data sets.
-
-Calling subplot() without arguments
-```````````````````````````````````
-A call to :func:`~matplotlib.pyplot.subplot` without any arguments now
-acts the same as `subplot(111)` or `subplot(1,1,1)` -- it creates one
-axes for the whole figure. This was already the behavior for both
-:func:`~matplotlib.pyplot.axes` and
-:func:`~matplotlib.pyplot.subplots`, and now this consistency is
-shared with :func:`~matplotlib.pyplot.subplot`.
-
-Drawing
--------
-
-Independent alpha values for face and edge colors
-`````````````````````````````````````````````````
-Wes Campaigne modified how :class:`~matplotlib.patches.Patch` objects are
-drawn such that (for backends supporting transparency) you can set different
-alpha values for faces and edges, by specifying their colors in RGBA format.
-Note that if you set the alpha attribute for the patch object (e.g. using
-:meth:`~matplotlib.patches.Patch.set_alpha` or the ``alpha`` keyword
-argument), that value will override the alpha components set in both the
-face and edge colors.
-
-Path effects on lines
-`````````````````````
-Thanks to Jae-Joon Lee, path effects now also work on plot lines.
-
-.. plot:: mpl_examples/pylab_examples/patheffect_demo.py
-
-Easier creation of colormap and normalizer for levels with colors
-`````````````````````````````````````````````````````````````````
-Phil Elson added the :func:`matplotlib.colors.from_levels_and_colors`
-function to easily create a colormap and normalizer for representation
-of discrete colors for plot types such as
-:func:`matplotlib.pyplot.pcolormesh`, with a similar interface to that
-of :func:`contourf`.
-
-Full control of the background color
-````````````````````````````````````
-Wes Campaigne and Phil Elson fixed the Agg backend such that PNGs are
-now saved with the correct background color when
-:meth:`fig.patch.get_alpha` is not 1.
-
-Improved ``bbox_inches="tight"`` functionality
-``````````````````````````````````````````````
-Passing ``bbox_inches="tight"`` through to :func:`plt.save` now takes
-into account *all* artists on a figure - this was previously not the
-case and led to several corner cases which did not function as
-expected.
-
-Initialize a rotated rectangle
-``````````````````````````````
-Damon McDougall extended the :class:`~matplotlib.patches.Rectangle`
-constructor to accept an `angle` kwarg, specifying the rotation of a
-rectangle in degrees.
-
-Text
-----
-
-Anchored text support
-`````````````````````
-The `svg` and `pgf` backends are now able to save text alignment
-information to their output formats. This allows to edit text elements
-in saved figures, using Inkscape for example, while preserving their
-intended position. For `svg` please note that you'll have to disable
-the default text-to-path conversion (``mpl.rc('svg',
-fonttype='none')``).
-
-Better vertical text alignment and multi-line text
-``````````````````````````````````````````````````
-The vertical alignment of text is now consistent across backends.  You
-may see small differences in text placement, particularly with rotated
-text.
-
-If you are using a custom backend, note that the `draw_text` renderer
-method is now passed the location of the baseline, not the location of
-the bottom of the text bounding box.
-
-Multi-line text will now leave enough room for the height of very tall
-or very low text, such as superscripts and subscripts.
-
-Left and right side axes titles
-```````````````````````````````
-Andrew Dawson added the ability to add axes titles flush with the left
-and right sides of the top of the axes using a new keyword argument
-`loc` to :func:`~matplotlib.pyplot.title`.
-
-Improved manual contour plot label positioning
-``````````````````````````````````````````````
-Brian Mattern modified the manual contour plot label positioning code
-to interpolate along line segments and find the actual closest point
-on a contour to the requested position. Previously, the closest path
-vertex was used, which, in the case of straight contours was sometimes
-quite distant from the requested location. Much more precise label
-positioning is now possible.
-
-Configuration (rcParams)
-------------------------
-
-Quickly find rcParams
-`````````````````````
-Phil Elson made it easier to search for rcParameters by passing a
-valid regular expression to :func:`matplotlib.RcParams.find_all`.
-:class:`matplotlib.RcParams` now also has a pretty repr and str
-representation so that search results are printed prettily:
-
-    >>> import matplotlib
-    >>> print(matplotlib.rcParams.find_all('\.size'))
-    RcParams({'font.size': 12,
-              'xtick.major.size': 4,
-              'xtick.minor.size': 2,
-              'ytick.major.size': 4,
-              'ytick.minor.size': 2})
-
-``axes.xmargin`` and ``axes.ymargin`` added to rcParams
-```````````````````````````````````````````````````````
-``rcParam`` values (``axes.xmargin`` and ``axes.ymargin``) were added
-to configure the default margins used.  Previously they were
-hard-coded to default to 0, default value of both rcParam values is 0.
-
-Changes to font rcParams
-````````````````````````
-The `font.*` rcParams now affect only text objects created after the
-rcParam has been set, and will not retroactively affect already
-existing text objects.  This brings their behavior in line with most
-other rcParams.
-
-``savefig.jpeg_quality`` added to rcParams
-``````````````````````````````````````````
-rcParam value ``savefig.jpeg_quality`` was added so that the user can
-configure the default quality used when a figure is written as a JPEG.
-The default quality is 95; previously, the default quality was 75.
-This change minimizes the artifacting inherent in JPEG images,
-particularly with images that have sharp changes in color as plots
-often do.
-
-Backends
---------
-
-WebAgg backend
-``````````````
-Michael Droettboom, Phil Elson and others have developed a new
-backend, WebAgg, to display figures in a web browser.  It works with
-animations as well as being fully interactive.
-
-.. image:: /_static/webagg_screenshot.png
-
-Future versions of matplotlib will integrate this backend with the
-IPython notebook for a fully web browser based plotting frontend.
-
-Remember save directory
-```````````````````````
-Martin Spacek made the save figure dialog remember the last directory
-saved to. The default is configurable with the new `savefig.directory`
-rcParam in `matplotlibrc`.
-
-Documentation and examples
---------------------------
-
-Numpydoc docstrings
-```````````````````
-Nelle Varoquaux has started an ongoing project to convert matplotlib's
-docstrings to numpydoc format.  See `MEP10
-<https://github.com/matplotlib/matplotlib/wiki/Mep10>`_ for more
-information.
-
-Example reorganization
-``````````````````````
-Tony Yu has begun work reorganizing the examples into more meaningful
-categories.  The new gallery page is the fruit of this ongoing work.
-See `MEP12 <https://github.com/matplotlib/matplotlib/wiki/MEP12>`_ for
-more information.
-
-Examples now use subplots()
-```````````````````````````
-For the sake of brevity and clarity, most of the :ref:`examples
-<examples-index>` now use the newer
-:func:`~matplotlib.pyplot.subplots`, which creates a figure and one
-(or multiple) axes object(s) in one call. The old way involved a call
-to :func:`~matplotlib.pyplot.figure`, followed by one (or multiple)
-:func:`~matplotlib.pyplot.subplot` calls.
-
-Infrastructure
---------------
-
-Housecleaning
-`````````````
-A number of features that were deprecated in 1.2 or earlier, or have
-not been in a working state for a long time have been removed.
-Highlights include removing the Qt version 3 backends, and the FltkAgg
-and Emf backends.  See :ref:`changes_in_1_3` for a complete list.
-
-New setup script
-````````````````
-matplotlib 1.3 includes an entirely rewritten setup script.  We now
-ship fewer dependencies with the tarballs and installers themselves.
-Notably, `pytz`, `dateutil`, `pyparsing` and `six` are no longer
-included with matplotlib.  You can either install them manually first,
-or let `pip` install them as dependencies along with matplotlib.  It
-is now possible to not include certain subcomponents, such as the unit
-test data, in the install.  See `setup.cfg.template` for more
-information.
-
-XDG base directory support
-``````````````````````````
-On Linux, matplotlib now uses the `XDG base directory specification
-<http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html>`
-to find the `matplotlibrc` configuration file.  `matplotlibrc` should
-now be kept in `~/.config/matplotlib`, rather than `~/.matplotlib`.
-If your configuration is found in the old location, it will still be
-used, but a warning will be displayed.
-
-Catch opening too many figures using pyplot
-```````````````````````````````````````````
-Figures created through `pyplot.figure` are retained until they are
-explicitly closed.  It is therefore common for new users of matplotlib
-to run out of memory when creating a large series of figures in a loop
-without closing them.
-
-matplotlib will now display a `RuntimeWarning` when too many figures
-have been opened at once.  By default, this is displayed for 20 or
-more figures, but the exact number may be controlled using the
-``figure.max_open_warning`` rcParam.
-
-.. _whats-new-1-2-2:
-
-new in matplotlib 1.2.2
-=======================
-
-Improved collections
---------------------
-
-The individual items of a collection may now have different alpha
-values and be rendered correctly.  This also fixes a bug where
-collections were always filled in the PDF backend.
-
-Multiple images on same axes are correctly transparent
-------------------------------------------------------
-
-When putting multiple images onto the same axes, the background color
-of the axes will now show through correctly.
-
-.. _whats-new-1-2:
-
-new in matplotlib-1.2
-=====================
-
-Python 3.x support
-------------------
-
-Matplotlib 1.2 is the first version to support Python 3.x,
-specifically Python 3.1 and 3.2.  To make this happen in a reasonable
-way, we also had to drop support for Python versions earlier than 2.6.
-
-This work was done by Michael Droettboom, the Cape Town Python Users'
-Group, many others and supported financially in part by the SAGE
-project.
-
-The following GUI backends work under Python 3.x: Gtk3Cairo, Qt4Agg,
-TkAgg and MacOSX.  The other GUI backends do not yet have adequate
-bindings for Python 3.x, but continue to work on Python 2.6 and 2.7,
-particularly the Qt and QtAgg backends (which have been
-deprecated). The non-GUI backends, such as PDF, PS and SVG, work on
-both Python 2.x and 3.x.
-
-Features that depend on the Python Imaging Library, such as JPEG
-handling, do not work, since the version of PIL for Python 3.x is not
-sufficiently mature.
-
-PGF/TikZ backend
-----------------
-Peter Würtz wrote a backend that allows matplotlib to export figures as
-drawing commands for LaTeX. These can be processed by PdfLaTeX, XeLaTeX or
-LuaLaTeX using the PGF/TikZ package. Usage examples and documentation are
-found in :ref:`pgf-tutorial`.
-
-.. image:: /_static/pgf_preamble.*
-
-Locator interface
------------------
-
-Philip Elson exposed the intelligence behind the tick Locator classes with a
-simple interface. For instance, to get no more than 5 sensible steps which
-span the values 10 and 19.5::
-
-    >>> import matplotlib.ticker as mticker
-    >>> locator = mticker.MaxNLocator(nbins=5)
-    >>> print(locator.tick_values(10, 19.5))
-    [ 10.  12.  14.  16.  18.  20.]
-
-Tri-Surface Plots
------------------
-
-Damon McDougall added a new plotting method for the
-:mod:`~mpl_toolkits.mplot3d` toolkit called
-:meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`.
-
-.. plot:: mpl_examples/mplot3d/trisurf3d_demo.py
-
-Control the lengths of colorbar extensions
-------------------------------------------
-
-Andrew Dawson added a new keyword argument *extendfrac* to
-:meth:`~matplotlib.pyplot.colorbar` to control the length of
-minimum and maximum colorbar extensions.
-
-.. plot::
-
-    import matplotlib.pyplot as plt
-    import numpy as np
-
-    x = y = np.linspace(0., 2*np.pi, 100)
-    X, Y = np.meshgrid(x, y)
-    Z = np.cos(X) * np.sin(0.5*Y)
-
-    clevs = [-.75, -.5, -.25, 0., .25, .5, .75]
-    cmap = plt.cm.get_cmap(name='jet', lut=8)
-
-    ax1 = plt.subplot(211)
-    cs1 = plt.contourf(x, y, Z, clevs, cmap=cmap, extend='both')
-    cb1 = plt.colorbar(orientation='horizontal', extendfrac=None)
-    cb1.set_label('Default length colorbar extensions')
-
-    ax2 = plt.subplot(212)
-    cs2 = plt.contourf(x, y, Z, clevs, cmap=cmap, extend='both')
-    cb2 = plt.colorbar(orientation='horizontal', extendfrac='auto')
-    cb2.set_label('Custom length colorbar extensions')
-
-    plt.show()
-
-
-Figures are picklable
----------------------
-
-Philip Elson added an experimental feature to make figures picklable
-for quick and easy short-term storage of plots. Pickle files
-are not designed for long term storage, are unsupported when restoring a pickle
-saved in another matplotlib version and are insecure when restoring a pickle
-from an untrusted source. Having said this, they are useful for short term
-storage for later modification inside matplotlib.
-
-
-Set default bounding box in matplotlibrc
-------------------------------------------
-
-Two new defaults are available in the matplotlibrc configuration file:
-``savefig.bbox``, which can be set to 'standard' or 'tight', and
-``savefig.pad_inches``, which controls the bounding box padding.
-
-
-New Boxplot Functionality
--------------------------
-
-Users can now incorporate their own methods for computing the median and its
-confidence intervals into the :meth:`~matplotlib.axes.boxplot` method. For
-every column of data passed to boxplot, the user can specify an accompanying
-median and confidence interval.
-
-.. plot:: mpl_examples/pylab_examples/boxplot_demo3.py
-
-
-New RC parameter functionality
-------------------------------
-
-Matthew Emmett added a function and a context manager to help manage RC
-parameters: :func:`~matplotlib.rc_file` and :class:`~matplotlib.rc_context`.
-To load RC parameters from a file::
-
-  >>> mpl.rc_file('mpl.rc')
-
-To temporarily use RC parameters::
-
-  >>> with mpl.rc_context(fname='mpl.rc', rc={'text.usetex': True}):
-  >>>     ...
-
-
-Streamplot
-----------
-
-Tom Flannaghan and Tony Yu have added a new
-:meth:`~matplotlib.pyplot.streamplot` function to plot the streamlines of
-a vector field. This has been a long-requested feature and complements the
-existing :meth:`~matplotlib.pyplot.quiver` function for plotting vector fields.
-In addition to simply plotting the streamlines of the vector field,
-:meth:`~matplotlib.pyplot.streamplot` allows users to map the colors and/or
-line widths of the streamlines to a separate parameter, such as the speed or
-local intensity of the vector field.
-
-.. plot:: mpl_examples/images_contours_and_fields/streamplot_demo_features.py
-
-
-New hist functionality
-----------------------
-
-Nic Eggert added a new `stacked` kwarg to :meth:`~matplotlib.pyplot.hist` that
-allows creation of stacked histograms using any of the histogram types.
-Previously, this functionality was only available by using the `barstacked`
-histogram type. Now, when `stacked=True` is passed to the function, any of the
-histogram types can be stacked. The `barstacked` histogram type retains its
-previous functionality for backwards compatibility.
-
-Updated shipped dependencies
-----------------------------
-
-The following dependencies that ship with matplotlib and are
-optionally installed alongside it have been updated:
-
-  - `pytz <http://pytz.sf.net/>` 2012d
-
-  - `dateutil <http://labix.org/python-dateutil>` 1.5 on Python 2.x,
-    and 2.1 on Python 3.x
-
-
-Face-centred colors in tripcolor plots
---------------------------------------
-
-Ian Thomas extended :meth:`~matplotlib.pyplot.tripcolor` to allow one color
-value to be specified for each triangular face rather than for each point in
-a triangulation.
-
-.. plot:: mpl_examples/pylab_examples/tripcolor_demo.py
-
-Hatching patterns in filled contour plots, with legends
--------------------------------------------------------
-
-Phil Elson added support for hatching to
-:func:`~matplotlib.pyplot.contourf`, together with the ability
-to use a legend to identify contoured ranges.
-
-.. plot:: mpl_examples/pylab_examples/contourf_hatching.py
-
-Known issues in the matplotlib-1.2 release
-------------------------------------------
-
-- When using the Qt4Agg backend with IPython 0.11 or later, the save
-  dialog will not display.  This should be fixed in a future version
-  of IPython.
-
-.. _whats-new-1-1:
-
-new in matplotlib-1.1
-=====================
-
-Sankey Diagrams
----------------
-
-Kevin Davies has extended Yannick Copin's original Sankey example into a module
-(:mod:`~matplotlib.sankey`) and provided new examples
-(:ref:`api-sankey_demo_basics`, :ref:`api-sankey_demo_links`,
-:ref:`api-sankey_demo_rankine`).
-
-.. plot:: mpl_examples/api/sankey_demo_rankine.py
-
-Animation
----------
-
-Ryan May has written a backend-independent framework for creating
-animated figures. The :mod:`~matplotlib.animation` module is intended
-to replace the backend-specific examples formerly in the
-:ref:`examples-index` listings.  Examples using the new framework are
-in :ref:`animation-examples-index`; see the entrancing :ref:`double
-pendulum <animation-double_pendulum_animated>` which uses
-:meth:`matplotlib.animation.Animation.save` to create the movie below.
-
-.. raw:: html
-
-    <iframe width="420" height="315" src="http://www.youtube.com/embed/32cjc6V0OZY" frameborder="0" allowfullscreen></iframe>
-
-This should be considered as a beta release of the framework;
-please try it and provide feedback.
-
-
-Tight Layout
-------------
-
-A frequent issue raised by users of matplotlib is the lack of a layout
-engine to nicely space out elements of the plots. While matplotlib still
-adheres to the philosophy of giving users complete control over the placement
-of plot elements, Jae-Joon Lee created the :mod:`~matplotlib.tight_layout`
-module and introduced a new
-command :func:`~matplotlib.pyplot.tight_layout`
-to address the most common layout issues.
-
-.. plot::
-
-    plt.rcParams['savefig.facecolor'] = "0.8"
-    plt.rcParams['figure.figsize'] = 4, 3
-
-    fig, axes_list = plt.subplots(2, 1)
-    for ax in axes_list.flat:
-        ax.set(xlabel="x-label", ylabel="y-label", title="before tight_layout")
-    ax.locator_params(nbins=3)
-
-    plt.show()
-
-    plt.rcParams['savefig.facecolor'] = "0.8"
-    plt.rcParams['figure.figsize'] = 4, 3
-
-    fig, axes_list = plt.subplots(2, 1)
-    for ax in axes_list.flat:
-        ax.set(xlabel="x-label", ylabel="y-label", title="after tight_layout")
-    ax.locator_params(nbins=3)
-
-    plt.tight_layout()
-    plt.show()
-
-The usage of this functionality can be as simple as ::
-
-    plt.tight_layout()
-
-and it will adjust the spacing between subplots
-so that the axis labels do not overlap with neighboring subplots. A
-:ref:`plotting-guide-tight-layout` has been created to show how to use
-this new tool.
-
-PyQT4, PySide, and IPython
---------------------------
-
-Gerald Storer made the Qt4 backend compatible with PySide as
-well as PyQT4.  At present, however, PySide does not support
-the PyOS_InputHook mechanism for handling gui events while
-waiting for text input, so it cannot be used with the new
-version 0.11 of `IPython <http://ipython.org>`_. Until this
-feature appears in PySide, IPython users should use
-the PyQT4 wrapper for QT4, which remains the matplotlib default.
-
-An rcParam entry, "backend.qt4", has been added to allow users
-to select PyQt4, PyQt4v2, or PySide.  The latter two use the
-Version 2 Qt API.  In most cases, users can ignore this rcParam
-variable; it is available to aid in testing, and to provide control
-for users who are embedding matplotlib in a PyQt4 or PySide app.
-
-
-Legend
-------
-
-Jae-Joon Lee has improved plot legends. First,
-legends for complex plots such as :meth:`~matplotlib.pyplot.stem` plots
-will now display correctly. Second, the 'best' placement of a legend has
-been improved in the presence of NANs.
-
-See the :ref:`plotting-guide-legend` for more detailed explanation and
-examples.
-
-.. plot:: mpl_examples/pylab_examples/legend_demo4.py
-
-mplot3d
--------
-
-In continuing the efforts to make 3D plotting in matplotlib just as easy
-as 2D plotting, Ben Root has made several improvements to the
-:mod:`~mpl_toolkits.mplot3d` module.
-
-* :class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` has been
-  improved to bring the class towards feature-parity with regular
-  Axes objects
-
-* Documentation for :ref:`toolkit_mplot3d-index` was significantly expanded
-
-* Axis labels and orientation improved
-
-* Most 3D plotting functions now support empty inputs
-
-* Ticker offset display added:
-
-.. plot:: mpl_examples/mplot3d/offset_demo.py
-
-* :meth:`~mpl_toolkits.mplot3d.axes3d.Axes3D.contourf`
-  gains *zdir* and *offset* kwargs. You can now do this:
-
-.. plot:: mpl_examples/mplot3d/contourf3d_demo2.py
-
-Numerix support removed
------------------------
-
-After more than two years of deprecation warnings, Numerix support has
-now been completely removed from matplotlib.
-
-Markers
--------
-
-The list of available markers for :meth:`~matplotlib.pyplot.plot` and
-:meth:`~matplotlib.pyplot.scatter` has now been merged. While they
-were mostly similar, some markers existed for one function, but not
-the other. This merge did result in a conflict for the 'd' diamond
-marker. Now, 'd' will be interpreted to always mean "thin" diamond
-while 'D' will mean "regular" diamond.
-
-Thanks to Michael Droettboom for this effort.
-
-Other improvements
-------------------
-
-* Unit support for polar axes and :func:`~matplotlib.axes.Axes.arrow`
-
-* :class:`~matplotlib.projections.polar.PolarAxes` gains getters and setters for
-  "theta_direction", and "theta_offset" to allow for theta to go in
-  either the clock-wise or counter-clockwise direction and to specify where zero
-  degrees should be placed.
-  :meth:`~matplotlib.projections.polar.PolarAxes.set_theta_zero_location` is an
-  added convenience function.
-
-* Fixed error in argument handling for tri-functions such as
-  :meth:`~matplotlib.pyplot.tripcolor`
-
-* ``axes.labelweight`` parameter added to rcParams.
-
-* For :meth:`~matplotlib.pyplot.imshow`, *interpolation='nearest'* will
-  now always perform an interpolation. A "none" option has been added to
-  indicate no interpolation at all.
-
-* An error in the Hammer projection has been fixed.
-
-* *clabel* for :meth:`~matplotlib.pyplot.contour` now accepts a callable.
-  Thanks to Daniel Hyams for the original patch.
-
-* Jae-Joon Lee added the :class:`~mpl_toolkits.axes_grid1.axes_divider.HBox`
-  and :class:`~mpl_toolkits.axes_grid1.axes_divider.VBox` classes.
-
-* Christoph Gohlke reduced memory usage in :meth:`~matplotlib.pyplot.imshow`.
-
-* :meth:`~matplotlib.pyplot.scatter` now accepts empty inputs.
-
-* The behavior for 'symlog' scale has been fixed, but this may result
-  in some minor changes to existing plots.  This work was refined by
-  ssyr.
-
-* Peter Butterworth added named figure support to
-  :func:`~matplotlib.pyplot.figure`.
-
-* Michiel de Hoon has modified the MacOSX backend to make
-  its interactive behavior consistent with the other backends.
-
-* Pim Schellart added a new colormap called "cubehelix".
-  Sameer Grover also added a colormap called "coolwarm". See it and all
-  other colormaps :ref:`here <color-colormaps_reference>`.
-
-* Many bug fixes and documentation improvements.
-
-.. _whats-new-1-0:
-
-new in matplotlib-1.0
-======================
-
-.. _whats-new-html5:
-
-HTML5/Canvas backend
----------------------
-
-Simon Ratcliffe and Ludwig Schwardt have released an `HTML5/Canvas
-<http://code.google.com/p/mplh5canvas/>`_ backend for matplotlib.  The
-backend is almost feature complete, and they have done a lot of work
-comparing their html5 rendered images with our core renderer Agg.  The
-backend features client/server interactive navigation of matplotlib
-figures in an html5 compliant browser.
-
-Sophisticated subplot grid layout
----------------------------------
-
-Jae-Joon Lee has written :mod:`~matplotlib.gridspec`, a new module for
-doing complex subplot layouts, featuring row and column spans and
-more.  See :ref:`gridspec-guide` for a tutorial overview.
-
-.. plot:: users/plotting/examples/demo_gridspec01.py
-
-Easy pythonic subplots
------------------------
-
-Fernando Perez got tired of all the boilerplate code needed to create a
-figure and multiple subplots when using the matplotlib API, and wrote
-a :func:`~matplotlib.pyplot.subplots` helper function.  Basic usage
-allows you to create the figure and an array of subplots with numpy
-indexing (starts with 0).  e.g.::
-
-  fig, axarr = plt.subplots(2, 2)
-  axarr[0,0].plot([1,2,3])   # upper, left
-
-See :ref:`pylab_examples-subplots_demo` for several code examples.
-
-Contour fixes and and triplot
----------------------------------
-
-Ian Thomas has fixed a long-standing bug that has vexed our most
-talented developers for years.  :func:`~matplotlib.pyplot.contourf`
-now handles interior masked regions, and the boundaries of line and
-filled contours coincide.
-
-Additionally, he has contributed a new module :mod:`~matplotlib.tri` and
-helper function :func:`~matplotlib.pyplot.triplot` for creating and
-plotting unstructured triangular grids.
-
-.. plot:: mpl_examples/pylab_examples/triplot_demo.py
-
-multiple calls to show supported
----------------------------------
-
-A long standing request is to support multiple calls to
-:func:`~matplotlib.pyplot.show`.  This has been difficult because it
-is hard to get consistent behavior across operating systems, user
-interface toolkits and versions.  Eric Firing has done a lot of work
-on rationalizing show across backends, with the desired behavior to
-make show raise all newly created figures and block execution until
-they are closed.  Repeated calls to show should raise newly created
-figures since the last call.  Eric has done a lot of testing on the
-user interface toolkits and versions and platforms he has access to,
-but it is not possible to test them all, so please report problems to
-the `mailing list
-<http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users>`_
-and `bug tracker
-<http://sourceforge.net/tracker/?group_id=80706&atid=560720>`_.
-
-
-mplot3d graphs can be embedded in arbitrary axes
--------------------------------------------------
-
-You can now place an mplot3d graph into an arbitrary axes location,
-supporting mixing of 2D and 3D graphs in the same figure, and/or
-multiple 3D graphs in a single figure, using the "projection" keyword
-argument to add_axes or add_subplot.  Thanks Ben Root.
-
-.. plot:: pyplots/whats_new_1_subplot3d.py
-
-tick_params
-------------
-
-Eric Firing wrote tick_params, a convenience method for changing the
-appearance of ticks and tick labels. See pyplot function
-:func:`~matplotlib.pyplot.tick_params` and associated Axes method
-:meth:`~matplotlib.axes.Axes.tick_params`.
-
-Lots of performance and feature enhancements
----------------------------------------------
-
-
-* Faster magnification of large images, and the ability to zoom in to
-  a single pixel
-
-* Local installs of documentation work better
-
-* Improved "widgets" -- mouse grabbing is supported
-
-* More accurate snapping of lines to pixel boundaries
-
-* More consistent handling of color, particularly the alpha channel,
-  throughout the API
-
-Much improved software carpentry
----------------------------------
-
-The matplotlib trunk is probably in as good a shape as it has ever
-been, thanks to improved `software carpentry
-<http://software-carpentry.org/>`_.  We now have a `buildbot
-<http://buildbot.net/trac>`_ which runs a suite of `nose
-<http://code.google.com/p/python-nose/>`_ regression tests on every
-svn commit, auto-generating a set of images and comparing them against
-a set of known-goods, sending emails to developers on failures with a
-pixel-by-pixel `image comparison
-<http://mpl.code.astraw.com/overview.html>`_.  Releases and release
-bugfixes happen in branches, allowing active new feature development
-to happen in the trunk while keeping the release branches stable.
-Thanks to Andrew Straw, Michael Droettboom and other matplotlib
-developers for the heavy lifting.
-
-Bugfix marathon
-----------------
-
-Eric Firing went on a bug fixing and closing marathon, closing over
-100 bugs on the `bug tracker
-<http://sourceforge.net/tracker/?group_id=80706&atid=560720>`_ with
-help from Jae-Joon Lee, Michael Droettboom, Christoph Gohlke and
-Michiel de Hoon.
-
-
-.. _whats-new-0-99:
-
-new in matplotlib-0.99
-======================
-
-
-
-New documentation
------------------
-
-Jae-Joon Lee has written two new guides :ref:`plotting-guide-legend`
-and :ref:`plotting-guide-annotation`.  Michael Sarahan has written
-:ref:`image_tutorial`.  John Hunter has written two new tutorials on
-working with paths and transformations: :ref:`path_tutorial` and
-:ref:`transforms_tutorial`.
-
-.. _whats-new-mplot3d:
-
-mplot3d
---------
-
-
-Reinier Heeres has ported John Porter's mplot3d over to the new
-matplotlib transformations framework, and it is now available as a
-toolkit mpl_toolkits.mplot3d (which now comes standard with all mpl
-installs).  See :ref:`mplot3d-examples-index` and
-:ref:`toolkit_mplot3d-tutorial`
-
-.. plot:: pyplots/whats_new_99_mplot3d.py
-
-.. _whats-new-axes-grid:
-
-axes grid toolkit
------------------
-
-Jae-Joon Lee has added a new toolkit to ease displaying multiple images in
-matplotlib, as well as some support for curvilinear grids to support
-the world coordinate system. The toolkit is included standard with all
-new mpl installs.  See :ref:`axes_grid-examples-index` and
-:ref:`axes_grid_users-guide-index`.
-
-.. plot:: pyplots/whats_new_99_axes_grid.py
-
-.. _whats-new-spine:
-
-Axis spine placement
---------------------
-
-Andrew Straw has added the ability to place "axis spines" -- the lines
-that denote the data limits -- in various arbitrary locations.  No
-longer are your axis lines constrained to be a simple rectangle around
-the figure -- you can turn on or off left, bottom, right and top, as
-well as "detach" the spine to offset it away from the data.  See
-:ref:`pylab_examples-spine_placement_demo` and
-:class:`matplotlib.spines.Spine`.
-
-.. plot:: pyplots/whats_new_99_spines.py
-
-
-.. _whats-new-0-98-4:
-
-new in 0.98.4
-=============
-
-It's been four months since the last matplotlib release, and there are
-a lot of new features and bug-fixes.
-
-Thanks to Charlie Moad for testing and preparing the source release,
-including binaries for OS X and Windows for python 2.4 and 2.5 (2.6
-and 3.0 will not be available until numpy is available on those
-releases).  Thanks to the many developers who contributed to this
-release, with contributions from Jae-Joon Lee, Michael Droettboom,
-Ryan May, Eric Firing, Manuel Metz, Jouni K. Seppänen, Jeff Whitaker,
-Darren Dale, David Kaplan, Michiel de Hoon and many others who
-submitted patches
-
-.. _legend-refactor:
-
-Legend enhancements
---------------------
-
-Jae-Joon has rewritten the legend class, and added support for
-multiple columns and rows, as well as fancy box drawing.  See
-:func:`~matplotlib.pyplot.legend` and
-:class:`matplotlib.legend.Legend`.
-
-.. plot:: pyplots/whats_new_98_4_legend.py
-
-.. _fancy-annotations:
-
-Fancy annotations and arrows
------------------------------
-
-Jae-Joon has added lots of support to annotations for drawing fancy
-boxes and connectors in annotations.  See
-:func:`~matplotlib.pyplot.annotate` and
-:class:`~matplotlib.patches.BoxStyle`,
-:class:`~matplotlib.patches.ArrowStyle`, and
-:class:`~matplotlib.patches.ConnectionStyle`.
-
-.. plot:: pyplots/whats_new_98_4_fancy.py
-
-.. _psd-amplitude:
-
-
-Native OS X backend
---------------------
-
-Michiel de Hoon has provided a native Mac OSX backend that is almost
-completely implemented in C. The backend can therefore use Quartz
-directly and, depending on the application, can be orders of magnitude
-faster than the existing backends. In addition, no third-party
-libraries are needed other than Python and NumPy. The backend is
-interactive from the usual terminal application on Mac using regular
-Python. It hasn't been tested with ipython yet, but in principle it
-should to work there as well.  Set 'backend : macosx' in your
-matplotlibrc file, or run your script with::
-
-    > python myfile.py -dmacosx
-
-psd amplitude scaling
--------------------------
-
-Ryan May did a lot of work to rationalize the amplitude scaling of
-:func:`~matplotlib.pyplot.psd` and friends.  See
-:ref:`pylab_examples-psd_demo2`. and :ref:`pylab_examples-psd_demo3`.
-The changes should increase MATLAB
-compatibility and increase scaling options.
-
-.. _fill-between:
-
-Fill between
-------------------
-
-Added a :func:`~matplotlib.pyplot.fill_between` function to make it
-easier to do shaded region plots in the presence of masked data.  You
-can pass an *x* array and a *ylower* and *yupper* array to fill
-between, and an optional *where* argument which is a logical mask
-where you want to do the filling.
-
-.. plot:: pyplots/whats_new_98_4_fill_between.py
-
-Lots more
------------
-
-Here are the 0.98.4 notes from the CHANGELOG::
-
-    Added mdehoon's native macosx backend from sf patch 2179017 - JDH
-
-    Removed the prints in the set_*style commands.  Return the list of
-    pretty-printed strings instead - JDH
-
-    Some of the changes Michael made to improve the output of the
-    property tables in the rest docs broke of made difficult to use
-    some of the interactive doc helpers, e.g., setp and getp.  Having all
-    the rest markup in the ipython shell also confused the docstrings.
-    I added a new rc param docstring.harcopy, to format the docstrings
-    differently for hardcopy and other use.  The ArtistInspector
-    could use a little refactoring now since there is duplication of
-    effort between the rest out put and the non-rest output - JDH
-
-    Updated spectral methods (psd, csd, etc.) to scale one-sided
-    densities by a factor of 2 and, optionally, scale all densities by
-    the sampling frequency.  This gives better MATLAB
-    compatibility. -RM
-
-    Fixed alignment of ticks in colorbars. -MGD
-
-    drop the deprecated "new" keyword of np.histogram() for numpy 1.2
-    or later.  -JJL
-
-    Fixed a bug in svg backend that new_figure_manager() ignores
-    keywords arguments such as figsize, etc. -JJL
-
-    Fixed a bug that the handlelength of the new legend class set too
-    short when numpoints=1 -JJL
-
-    Added support for data with units (e.g., dates) to
-    Axes.fill_between. -RM
-
-    Added fancybox keyword to legend. Also applied some changes for
-    better look, including baseline adjustment of the multiline texts
-    so that it is center aligned. -JJL
-
-    The transmuter classes in the patches.py are reorganized as
-    subclasses of the Style classes. A few more box and arrow styles
-    are added. -JJL
-
-    Fixed a bug in the new legend class that didn't allowed a tuple of
-    coordinate values as loc. -JJL
-
-    Improve checks for external dependencies, using subprocess
-    (instead of deprecated popen*) and distutils (for version
-    checking) - DSD
-
-    Reimplementation of the legend which supports baseline alignment,
-    multi-column, and expand mode. - JJL
-
-    Fixed histogram autoscaling bug when bins or range are given
-    explicitly (fixes Debian bug 503148) - MM
-
-    Added rcParam axes.unicode_minus which allows plain hyphen for
-    minus when False - JDH
-
-    Added scatterpoints support in Legend. patch by Erik Tollerud -
-    JJL
-
-    Fix crash in log ticking. - MGD
-
-    Added static helper method BrokenHBarCollection.span_where and
-    Axes/pyplot method fill_between.  See
-    examples/pylab/fill_between.py - JDH
-
-    Add x_isdata and y_isdata attributes to Artist instances, and use
-    them to determine whether either or both coordinates are used when
-    updating dataLim.  This is used to fix autoscaling problems that
-    had been triggered by axhline, axhspan, axvline, axvspan. - EF
-
-    Update the psd(), csd(), cohere(), and specgram() methods of Axes
-    and the csd() cohere(), and specgram() functions in mlab to be in
-    sync with the changes to psd().  In fact, under the hood, these
-    all call the same core to do computations. - RM
-
-    Add 'pad_to' and 'sides' parameters to mlab.psd() to allow
-    controlling of zero padding and returning of negative frequency
-    components, respectively.  These are added in a way that does not
-    change the API. - RM
-
-    Fix handling of c kwarg by scatter; generalize is_string_like to
-    accept numpy and numpy.ma string array scalars. - RM and EF
-
-    Fix a possible EINTR problem in dviread, which might help when
-    saving pdf files from the qt backend. - JKS
-
-    Fix bug with zoom to rectangle and twin axes - MGD
-
-    Added Jae Joon's fancy arrow, box and annotation enhancements --
-    see examples/pylab_examples/annotation_demo2.py
-
-    Autoscaling is now supported with shared axes - EF
-
-    Fixed exception in dviread that happened with Minion - JKS
-
-    set_xlim, ylim now return a copy of the viewlim array to avoid
-    modify inplace surprises
-
-    Added image thumbnail generating function
-    matplotlib.image.thumbnail.  See examples/misc/image_thumbnail.py
-    - JDH
-
-    Applied scatleg patch based on ideas and work by Erik Tollerud and
-    Jae-Joon Lee. - MM
-
-    Fixed bug in pdf backend: if you pass a file object for output
-    instead of a filename, e.g., in a wep app, we now flush the object
-    at the end. - JKS
-
-    Add path simplification support to paths with gaps. - EF
-
-    Fix problem with AFM files that don't specify the font's full name
-    or family name. - JKS
-
-    Added 'scilimits' kwarg to Axes.ticklabel_format() method, for
-    easy access to the set_powerlimits method of the major
-    ScalarFormatter. - EF
-
-    Experimental new kwarg borderpad to replace pad in legend, based
-    on suggestion by Jae-Joon Lee.  - EF
-
-    Allow spy to ignore zero values in sparse arrays, based on patch
-    by Tony Yu.  Also fixed plot to handle empty data arrays, and
-    fixed handling of markers in figlegend. - EF
-
-    Introduce drawstyles for lines. Transparently split linestyles
-    like 'steps--' into drawstyle 'steps' and linestyle '--'.  Legends
-    always use drawstyle 'default'. - MM
-
-    Fixed quiver and quiverkey bugs (failure to scale properly when
-    resizing) and added additional methods for determining the arrow
-    angles - EF
-
-    Fix polar interpolation to handle negative values of theta - MGD
-
-    Reorganized cbook and mlab methods related to numerical
-    calculations that have little to do with the goals of those two
-    modules into a separate module numerical_methods.py Also, added
-    ability to select points and stop point selection with keyboard in
-    ginput and manual contour labeling code.  Finally, fixed contour
-    labeling bug. - DMK
-
-    Fix backtick in Postscript output. - MGD
-
-    [ 2089958 ] Path simplification for vector output backends
-    Leverage the simplification code exposed through path_to_polygons
-    to simplify certain well-behaved paths in the vector backends
-    (PDF, PS and SVG).  "path.simplify" must be set to True in
-    matplotlibrc for this to work.  - MGD
-
-    Add "filled" kwarg to Path.intersects_path and
-    Path.intersects_bbox. - MGD
-
-    Changed full arrows slightly to avoid an xpdf rendering problem
-    reported by Friedrich Hagedorn. - JKS
-
-    Fix conversion of quadratic to cubic Bezier curves in PDF and PS
-    backends. Patch by Jae-Joon Lee. - JKS
-
-    Added 5-point star marker to plot command q- EF
-
-    Fix hatching in PS backend - MGD
-
-    Fix log with base 2 - MGD
-
-    Added support for bilinear interpolation in
-    NonUniformImage; patch by Gregory Lielens. - EF
-
-    Added support for multiple histograms with data of
-    different length - MM
-
-    Fix step plots with log scale - MGD
-
-    Fix masked arrays with markers in non-Agg backends - MGD
-
-    Fix clip_on kwarg so it actually works correctly - MGD
-
-    Fix locale problems in SVG backend - MGD
-
-    fix quiver so masked values are not plotted - JSW
-
-    improve interactive pan/zoom in qt4 backend on windows - DSD
-
-    Fix more bugs in NaN/inf handling.  In particular, path
-    simplification (which does not handle NaNs or infs) will be turned
-    off automatically when infs or NaNs are present.  Also masked
-    arrays are now converted to arrays with NaNs for consistent
-    handling of masks and NaNs - MGD and EF
-
-    Added support for arbitrary rasterization resolutions to the SVG
-    backend. - MW
diff --git a/doc/users/whats_new/README.rst b/doc/users/whats_new/README.rst
deleted file mode 100644
index dd8e4a8a5214..000000000000
--- a/doc/users/whats_new/README.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-This folder is for placing new portions of `whats_new.rst`.
-
-When adding an entry please look at the currently existing files to
-see if you can extend any of them.  If you create a file, name it
-something like :file:`cool_new_feature.rst` if you have added a brand new
-feature or something like :file:`updated_feature.rst` for extensions of
-existing features.  Include contents of the form: ::
-
-    Section Title for Feature
-    -------------------------
-
-    A bunch of text about how awesome the new feature is and examples of how
-    to use it.
-
-    A sub-section
-    `````````````
diff --git a/doc/users/whats_new/plotting.rst b/doc/users/whats_new/plotting.rst
deleted file mode 100644
index 18df08d905cc..000000000000
--- a/doc/users/whats_new/plotting.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-Added center and frame kwargs to pie
-````````````````````````````````````
-
-These control where the center of the pie graph are and if
-the Axes frame is shown.
diff --git a/doc/users/whats_new/rcparams.rst b/doc/users/whats_new/rcparams.rst
deleted file mode 100644
index b05ed5835080..000000000000
--- a/doc/users/whats_new/rcparams.rst
+++ /dev/null
@@ -1,13 +0,0 @@
-Added "legend.framealpha" key to rcParams
-`````````````````````````````````````````
-
-Added a key and the corresponding logic to control the default transparency of
-legend frames. This feature was written into the docstring of axes.legend(),
-but not yet implemented.
-
-
-Added "figure.titlesize" and "figure.titleweight" keys to rcParams
-``````````````````````````````````````````````````````````````````
-
-Two new keys were added to rcParams to control the default font size and weight
-used by the figure title (as emitted by ``pyplot.suptitle()``).
diff --git a/doc/utils/pylab_names.py b/doc/utils/pylab_names.py
deleted file mode 100644
index 379c6baabca8..000000000000
--- a/doc/utils/pylab_names.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from __future__ import print_function
-"""
-autogenerate some tables for pylab namespace
-"""
-from pylab import *
-d = locals()
-keys = d.keys()
-keys.sort()
-
-modd = dict()
-for k in keys:
-    o = d[k]
-    if not callable(o):
-        continue
-    doc = getattr(o, '__doc__', None)
-    if doc is not None:
-        doc = ' - '.join([line for line in doc.split('\n') if line.strip()][:2])
-
-    mod = getattr(o, '__module__', None)
-    if mod is None:
-        mod = 'unknown'
-
-    if mod is not None:
-        if mod.startswith('matplotlib'):
-            if k[0].isupper():
-                k = ':class:`~%s.%s`'%(mod, k)
-            else:
-                k = ':func:`~%s.%s`'%(mod, k)
-            mod = ':mod:`%s`'%mod
-        elif mod.startswith('numpy'):
-            #k = '`%s <%s>`_'%(k, 'http://scipy.org/Numpy_Example_List_With_Doc#%s'%k)
-            k = '`%s <%s>`_'%(k, 'http://sd-2116.dedibox.fr/pydocweb/doc/%s.%s'%(mod, k))
-
-
-    if doc is None: doc = 'TODO'
-
-    mod, k, doc = mod.strip(), k.strip(), doc.strip()[:80]
-    modd.setdefault(mod, []).append((k, doc))
-
-mods = modd.keys()
-mods.sort()
-for mod in mods:
-    border = '*'*len(mod)
-    print(mod)
-    print(border)
-
-    print()
-    funcs, docs = zip(*modd[mod])
-    maxfunc = max([len(f) for f in funcs])
-    maxdoc = max(40, max([len(d) for d in docs]) )
-    border = ' '.join(['='*maxfunc, '='*maxdoc])
-    print(border)
-    print(' '.join(['symbol'.ljust(maxfunc), 'description'.ljust(maxdoc)]))
-    print(border)
-    for func, doc in modd[mod]:
-        row = ' '.join([func.ljust(maxfunc), doc.ljust(maxfunc)])
-        print(row)
-
-    print(border)
-    print()
-    #break
diff --git a/environment.yml b/environment.yml
new file mode 100644
index 000000000000..eaa6ed6386b6
--- /dev/null
+++ b/environment.yml
@@ -0,0 +1,74 @@
+# To set up a development environment using conda run:
+#
+#   conda env create -f environment.yml
+#   conda activate mpl-dev
+#   pip install --verbose --no-build-isolation --editable ".[dev]"
+#
+---
+name: mpl-dev
+channels:
+  - conda-forge
+dependencies:
+  # runtime dependencies
+  - cairocffi
+  - c-compiler
+  - cxx-compiler
+  - contourpy>=1.0.1
+  - cycler>=0.10.0
+  - fonttools>=4.22.0
+  - importlib-resources>=3.2.0
+  - kiwisolver>=1.3.1
+  - pybind11>=2.13.2
+  - meson-python>=0.13.1
+  - numpy>=1.25
+  - pillow>=9
+  - pkg-config
+  - pygobject
+  - pyparsing>=3
+  - pyqt
+  - python>=3.11
+  - python-dateutil>=2.1
+  - setuptools_scm
+  - wxpython
+  # building documentation
+  - colorspacious
+  - graphviz
+  - ipython
+  - ipywidgets
+  - numpydoc>=1.0
+  - packaging>=20
+  - pydata-sphinx-theme~=0.15.0
+  - pyyaml
+  - sphinx>=3.0.0,!=6.1.2
+  - sphinx-copybutton
+  - sphinx-gallery>=0.12.0
+  - joblib  # needed for sphinx-gallery[parallel]
+  - sphinx-design
+  - sphinx-tags>=0.4.0
+  - pystemmer
+  - pip
+  - pip:
+      - mpl-sphinx-theme~=3.8.0
+      - sphinxcontrib-svg2pdfconverter>=1.1.0
+      - sphinxcontrib-video>=0.2.1
+      - pikepdf
+  # testing
+  - black<24
+  - coverage
+  - gtk4
+  - ipykernel
+  - nbconvert[execute]!=6.0.0,!=6.0.1,!=7.3.0,!=7.3.1
+  - nbformat!=5.0.0,!=5.0.1
+  - pandas!=0.25.0
+  - psutil
+  - pre-commit
+  - pydocstyle>=5.1.0
+  - pytest!=4.6.0,!=5.4.0,!=8.1.0
+  - pytest-cov
+  - pytest-rerunfailures
+  - pytest-timeout
+  - pytest-xdist
+  - tornado
+  - pytz
+  - ruff
+  - tox
diff --git a/examples/README.txt b/examples/README.txt
deleted file mode 100644
index 34ad3b71db09..000000000000
--- a/examples/README.txt
+++ /dev/null
@@ -1,47 +0,0 @@
-matplotlib examples
-===================
-
-There are a variety of ways to use matplotlib, and most of them are
-illustrated in the examples in this directory.
-
-Probably the most common way people use matplotlib is with the
-procedural interface, which follows the matlab/IDL/mathematica
-approach of using simple procedures like "plot" or "title" to modify
-the current figure.  These examples are included in the "pylab_examples"
-directory.  If you want to write more robust scripts, e.g., for
-production use or in a web application server, you will probably want
-to use the matplotlib API for full control.  These examples are found
-in the "api" directory.  Below is a brief description of the different
-directories found here:
-
-  * animation - dynamic plots, see the tutorial at
-    http://www.scipy.org/Cookbook/Matplotlib/Animations
-
-  * api - working with the matplotlib API directory.  See the
-    doc/artist_api_tut.txt in the matplotlib src directory ((PDF at
-    http://matplotlib.sf.net/pycon)
-
-  * axes_grid - Examples related to the AxesGrid toolkit
-
-  * event_handling - how to interact with your figure, mouse presses,
-    key presses, object picking, etc.  See the event handling tutorial
-    in the "doc" directory of the source distribution (PDF at
-    http://matplotlib.sf.net/pycon)
-
-  * misc - some miscellaneous examples.  some demos for loading and
-    working with record arrays
-
-  * mplot3d - 3D examples
-
-  * pylab_examples - the  interface to matplotlib similar to matlab
-
-  * tests - tests used by matplotlib developers to check functionality
-    (These tests are still sometimes useful, but mostly developers should
-    use the nosetests which perform automatic image comparison.)
-
-  * units - working with unit data an custom types in matplotlib
-
-  * user_interfaces - using matplotlib in a GUI application, e.g.,
-    TkInter, WXPython, pygtk, pyqt or FLTK widgets
-
-  * widgets - Examples using interactive widgets
diff --git a/examples/animation/animate_decay.py b/examples/animation/animate_decay.py
deleted file mode 100644
index 589af36f7e8d..000000000000
--- a/examples/animation/animate_decay.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-
-def data_gen(t=0):
-    cnt = 0
-    while cnt < 1000:
-        cnt += 1
-        t += 0.05
-        yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)
-
-fig, ax = plt.subplots()
-line, = ax.plot([], [], lw=2)
-ax.set_ylim(-1.1, 1.1)
-ax.set_xlim(0, 5)
-ax.grid()
-xdata, ydata = [], []
-
-
-def run(data):
-    # update the data
-    t, y = data
-    xdata.append(t)
-    ydata.append(y)
-    xmin, xmax = ax.get_xlim()
-
-    if t >= xmax:
-        ax.set_xlim(xmin, 2*xmax)
-        ax.figure.canvas.draw()
-    line.set_data(xdata, ydata)
-
-    return line,
-
-ani = animation.FuncAnimation(fig, run, data_gen, blit=True, interval=10,
-                              repeat=False)
-plt.show()
diff --git a/examples/animation/basic_example.py b/examples/animation/basic_example.py
deleted file mode 100644
index a0348f4a325a..000000000000
--- a/examples/animation/basic_example.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-
-def update_line(num, data, line):
-    line.set_data(data[..., :num])
-    return line,
-
-fig1 = plt.figure()
-
-data = np.random.rand(2, 25)
-l, = plt.plot([], [], 'r-')
-plt.xlim(0, 1)
-plt.ylim(0, 1)
-plt.xlabel('x')
-plt.title('test')
-line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l),
-                                   interval=50, blit=True)
-#line_ani.save('lines.mp4')
-
-fig2 = plt.figure()
-
-x = np.arange(-9, 10)
-y = np.arange(-9, 10).reshape(-1, 1)
-base = np.hypot(x, y)
-ims = []
-for add in np.arange(15):
-    ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))
-
-im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,
-                                   blit=True)
-#im_ani.save('im.mp4', metadata={'artist':'Guido'})
-
-plt.show()
diff --git a/examples/animation/basic_example_writer.py b/examples/animation/basic_example_writer.py
deleted file mode 100644
index 6f3845dc3f46..000000000000
--- a/examples/animation/basic_example_writer.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# Same as basic_example, but writes files using a single MovieWriter instance
-# without putting on screen
-# -*- noplot -*-
-import numpy as np
-import matplotlib
-matplotlib.use("Agg")
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-
-def update_line(num, data, line):
-    line.set_data(data[..., :num])
-    return line,
-
-# Set up formatting for the movie files
-Writer = animation.writers['ffmpeg']
-writer = Writer(fps=15, metadata=dict(artist='Me'), bitrate=1800)
-
-
-fig1 = plt.figure()
-
-data = np.random.rand(2, 25)
-l, = plt.plot([], [], 'r-')
-plt.xlim(0, 1)
-plt.ylim(0, 1)
-plt.xlabel('x')
-plt.title('test')
-line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l),
-                                   interval=50, blit=True)
-line_ani.save('lines.mp4', writer=writer)
-
-fig2 = plt.figure()
-
-x = np.arange(-9, 10)
-y = np.arange(-9, 10).reshape(-1, 1)
-base = np.hypot(x, y)
-ims = []
-for add in np.arange(15):
-    ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))
-
-im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,
-                                   blit=True)
-im_ani.save('im.mp4', writer=writer)
diff --git a/examples/animation/bayes_update.py b/examples/animation/bayes_update.py
deleted file mode 100644
index a05930562512..000000000000
--- a/examples/animation/bayes_update.py
+++ /dev/null
@@ -1,48 +0,0 @@
-# update a distribution based on new data.
-import numpy as np
-import matplotlib.pyplot as plt
-import scipy.stats as ss
-from matplotlib.animation import FuncAnimation
-
-
-class UpdateDist(object):
-    def __init__(self, ax, prob=0.5):
-        self.success = 0
-        self.prob = prob
-        self.line, = ax.plot([], [], 'k-')
-        self.x = np.linspace(0, 1, 200)
-        self.ax = ax
-
-        # Set up plot parameters
-        self.ax.set_xlim(0, 1)
-        self.ax.set_ylim(0, 15)
-        self.ax.grid(True)
-
-        # This vertical line represents the theoretical value, to
-        # which the plotted distribution should converge.
-        self.ax.axvline(prob, linestyle='--', color='black')
-
-    def init(self):
-        self.success = 0
-        self.line.set_data([], [])
-        return self.line,
-
-    def __call__(self, i):
-        # This way the plot can continuously run and we just keep
-        # watching new realizations of the process
-        if i == 0:
-            return self.init()
-
-        # Choose success based on exceed a threshold with a uniform pick
-        if np.random.rand(1,) < self.prob:
-            self.success += 1
-        y = ss.beta.pdf(self.x, self.success + 1, (i - self.success) + 1)
-        self.line.set_data(self.x, y)
-        return self.line,
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ud = UpdateDist(ax, prob=0.7)
-anim = FuncAnimation(fig, ud, frames=np.arange(100), init_func=ud.init,
-                     interval=100, blit=True)
-plt.show()
diff --git a/examples/animation/double_pendulum_animated.py b/examples/animation/double_pendulum_animated.py
deleted file mode 100644
index ee88fda82ce4..000000000000
--- a/examples/animation/double_pendulum_animated.py
+++ /dev/null
@@ -1,89 +0,0 @@
-# Double pendulum formula translated from the C code at
-# http://www.physics.usyd.edu.au/~wheat/dpend_html/solve_dpend.c
-
-from numpy import sin, cos, pi, array
-import numpy as np
-import matplotlib.pyplot as plt
-import scipy.integrate as integrate
-import matplotlib.animation as animation
-
-G = 9.8  # acceleration due to gravity, in m/s^2
-L1 = 1.0  # length of pendulum 1 in m
-L2 = 1.0  # length of pendulum 2 in m
-M1 = 1.0  # mass of pendulum 1 in kg
-M2 = 1.0  # mass of pendulum 2 in kg
-
-
-def derivs(state, t):
-
-    dydx = np.zeros_like(state)
-    dydx[0] = state[1]
-
-    del_ = state[2] - state[0]
-    den1 = (M1 + M2)*L1 - M2*L1*cos(del_)*cos(del_)
-    dydx[1] = (M2*L1*state[1]*state[1]*sin(del_)*cos(del_)
-               + M2*G*sin(state[2])*cos(del_)
-               + M2*L2*state[3]*state[3]*sin(del_)
-               - (M1 + M2)*G*sin(state[0]))/den1
-
-    dydx[2] = state[3]
-
-    den2 = (L2/L1)*den1
-    dydx[3] = (-M2*L2*state[3]*state[3]*sin(del_)*cos(del_)
-               + (M1 + M2)*G*sin(state[0])*cos(del_)
-               - (M1 + M2)*L1*state[1]*state[1]*sin(del_)
-               - (M1 + M2)*G*sin(state[2]))/den2
-
-    return dydx
-
-# create a time array from 0..100 sampled at 0.05 second steps
-dt = 0.05
-t = np.arange(0.0, 20, dt)
-
-# th1 and th2 are the initial angles (degrees)
-# w10 and w20 are the initial angular velocities (degrees per second)
-th1 = 120.0
-w1 = 0.0
-th2 = -10.0
-w2 = 0.0
-
-# initial state
-state = np.radians([th1, w1, th2, w2])
-
-# integrate your ODE using scipy.integrate.
-y = integrate.odeint(derivs, state, t)
-
-x1 = L1*sin(y[:, 0])
-y1 = -L1*cos(y[:, 0])
-
-x2 = L2*sin(y[:, 2]) + x1
-y2 = -L2*cos(y[:, 2]) + y1
-
-fig = plt.figure()
-ax = fig.add_subplot(111, autoscale_on=False, xlim=(-2, 2), ylim=(-2, 2))
-ax.grid()
-
-line, = ax.plot([], [], 'o-', lw=2)
-time_template = 'time = %.1fs'
-time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
-
-
-def init():
-    line.set_data([], [])
-    time_text.set_text('')
-    return line, time_text
-
-
-def animate(i):
-    thisx = [0, x1[i], x2[i]]
-    thisy = [0, y1[i], y2[i]]
-
-    line.set_data(thisx, thisy)
-    time_text.set_text(time_template % (i*dt))
-    return line, time_text
-
-ani = animation.FuncAnimation(fig, animate, np.arange(1, len(y)),
-                              interval=25, blit=True, init_func=init)
-
-#ani.save('double_pendulum.mp4', fps=15)
-plt.show()
diff --git a/examples/animation/dynamic_image.py b/examples/animation/dynamic_image.py
deleted file mode 100644
index 247bbc031ad9..000000000000
--- a/examples/animation/dynamic_image.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-"""
-An animated image
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-fig = plt.figure()
-
-
-def f(x, y):
-    return np.sin(x) + np.cos(y)
-
-x = np.linspace(0, 2 * np.pi, 120)
-y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
-
-im = plt.imshow(f(x, y), cmap=plt.get_cmap('jet'))
-
-
-def updatefig(*args):
-    global x, y
-    x += np.pi / 15.
-    y += np.pi / 20.
-    im.set_array(f(x, y))
-    return im,
-
-ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)
-plt.show()
diff --git a/examples/animation/dynamic_image2.py b/examples/animation/dynamic_image2.py
deleted file mode 100644
index c4a29b3d00aa..000000000000
--- a/examples/animation/dynamic_image2.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-"""
-An animated image
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-fig = plt.figure()
-
-
-def f(x, y):
-    return np.sin(x) + np.cos(y)
-
-x = np.linspace(0, 2 * np.pi, 120)
-y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
-# ims is a list of lists, each row is a list of artists to draw in the
-# current frame; here we are just animating one artist, the image, in
-# each frame
-ims = []
-for i in range(60):
-    x += np.pi / 15.
-    y += np.pi / 20.
-    im = plt.imshow(f(x, y))
-    ims.append([im])
-
-ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
-                                repeat_delay=1000)
-
-#ani.save('dynamic_images.mp4')
-
-
-plt.show()
diff --git a/examples/animation/histogram.py b/examples/animation/histogram.py
deleted file mode 100644
index a8c4c13b8cf4..000000000000
--- a/examples/animation/histogram.py
+++ /dev/null
@@ -1,63 +0,0 @@
-"""
-This example shows how to use a path patch to draw a bunch of
-rectangles for an animated histogram
-"""
-import numpy as np
-
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.path as path
-import matplotlib.animation as animation
-
-fig, ax = plt.subplots()
-
-# histogram our data with numpy
-data = np.random.randn(1000)
-n, bins = np.histogram(data, 100)
-
-# get the corners of the rectangles for the histogram
-left = np.array(bins[:-1])
-right = np.array(bins[1:])
-bottom = np.zeros(len(left))
-top = bottom + n
-nrects = len(left)
-
-# here comes the tricky part -- we have to set up the vertex and path
-# codes arrays using moveto, lineto and closepoly
-
-# for each rect: 1 for the MOVETO, 3 for the LINETO, 1 for the
-# CLOSEPOLY; the vert for the closepoly is ignored but we still need
-# it to keep the codes aligned with the vertices
-nverts = nrects*(1 + 3 + 1)
-verts = np.zeros((nverts, 2))
-codes = np.ones(nverts, int) * path.Path.LINETO
-codes[0::5] = path.Path.MOVETO
-codes[4::5] = path.Path.CLOSEPOLY
-verts[0::5, 0] = left
-verts[0::5, 1] = bottom
-verts[1::5, 0] = left
-verts[1::5, 1] = top
-verts[2::5, 0] = right
-verts[2::5, 1] = top
-verts[3::5, 0] = right
-verts[3::5, 1] = bottom
-
-barpath = path.Path(verts, codes)
-patch = patches.PathPatch(
-    barpath, facecolor='green', edgecolor='yellow', alpha=0.5)
-ax.add_patch(patch)
-
-ax.set_xlim(left[0], right[-1])
-ax.set_ylim(bottom.min(), top.max())
-
-
-def animate(i):
-    # simulate new data coming in
-    data = np.random.randn(1000)
-    n, bins = np.histogram(data, 100)
-    top = bottom + n
-    verts[1::5, 1] = top
-    verts[2::5, 1] = top
-
-ani = animation.FuncAnimation(fig, animate, 100, repeat=False)
-plt.show()
diff --git a/examples/animation/moviewriter.py b/examples/animation/moviewriter.py
deleted file mode 100644
index 530bbd714f87..000000000000
--- a/examples/animation/moviewriter.py
+++ /dev/null
@@ -1,31 +0,0 @@
-# This example uses a MovieWriter directly to grab individual frames and
-# write them to a file. This avoids any event loop integration, but has
-# the advantage of working with even the Agg backend. This is not recommended
-# for use in an interactive setting.
-# -*- noplot -*-
-
-import numpy as np
-import matplotlib
-matplotlib.use("Agg")
-import matplotlib.pyplot as plt
-import matplotlib.animation as manimation
-
-FFMpegWriter = manimation.writers['ffmpeg']
-metadata = dict(title='Movie Test', artist='Matplotlib',
-                comment='Movie support!')
-writer = FFMpegWriter(fps=15, metadata=metadata)
-
-fig = plt.figure()
-l, = plt.plot([], [], 'k-o')
-
-plt.xlim(-5, 5)
-plt.ylim(-5, 5)
-
-x0, y0 = 0, 0
-
-with writer.saving(fig, "writer_test.mp4", 100):
-    for i in range(100):
-        x0 += 0.1 * np.random.randn()
-        y0 += 0.1 * np.random.randn()
-        l.set_data(x0, y0)
-        writer.grab_frame()
diff --git a/examples/animation/random_data.py b/examples/animation/random_data.py
deleted file mode 100644
index d468ffbfce4f..000000000000
--- a/examples/animation/random_data.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-fig, ax = plt.subplots()
-line, = ax.plot(np.random.rand(10))
-ax.set_ylim(0, 1)
-
-
-def update(data):
-    line.set_ydata(data)
-    return line,
-
-
-def data_gen():
-    while True:
-        yield np.random.rand(10)
-
-ani = animation.FuncAnimation(fig, update, data_gen, interval=100)
-plt.show()
diff --git a/examples/animation/simple_3danim.py b/examples/animation/simple_3danim.py
deleted file mode 100644
index 60f54625d839..000000000000
--- a/examples/animation/simple_3danim.py
+++ /dev/null
@@ -1,64 +0,0 @@
-"""
-A simple example of an animated plot... In 3D!
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import mpl_toolkits.mplot3d.axes3d as p3
-import matplotlib.animation as animation
-
-
-def Gen_RandLine(length, dims=2):
-    """
-    Create a line using a random walk algorithm
-
-    length is the number of points for the line.
-    dims is the number of dimensions the line has.
-    """
-    lineData = np.empty((dims, length))
-    lineData[:, 0] = np.random.rand(dims)
-    for index in range(1, length):
-        # scaling the random numbers by 0.1 so
-        # movement is small compared to position.
-        # subtraction by 0.5 is to change the range to [-0.5, 0.5]
-        # to allow a line to move backwards.
-        step = ((np.random.rand(dims) - 0.5) * 0.1)
-        lineData[:, index] = lineData[:, index - 1] + step
-
-    return lineData
-
-
-def update_lines(num, dataLines, lines):
-    for line, data in zip(lines, dataLines):
-        # NOTE: there is no .set_data() for 3 dim data...
-        line.set_data(data[0:2, :num])
-        line.set_3d_properties(data[2, :num])
-    return lines
-
-# Attaching 3D axis to the figure
-fig = plt.figure()
-ax = p3.Axes3D(fig)
-
-# Fifty lines of random 3-D lines
-data = [Gen_RandLine(25, 3) for index in range(50)]
-
-# Creating fifty line objects.
-# NOTE: Can't pass empty arrays into 3d version of plot()
-lines = [ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1])[0] for dat in data]
-
-# Setting the axes properties
-ax.set_xlim3d([0.0, 1.0])
-ax.set_xlabel('X')
-
-ax.set_ylim3d([0.0, 1.0])
-ax.set_ylabel('Y')
-
-ax.set_zlim3d([0.0, 1.0])
-ax.set_zlabel('Z')
-
-ax.set_title('3D Test')
-
-# Creating the Animation object
-line_ani = animation.FuncAnimation(fig, update_lines, 25, fargs=(data, lines),
-                                   interval=50, blit=False)
-
-plt.show()
diff --git a/examples/animation/simple_anim.py b/examples/animation/simple_anim.py
deleted file mode 100644
index 730ad926868e..000000000000
--- a/examples/animation/simple_anim.py
+++ /dev/null
@@ -1,26 +0,0 @@
-"""
-A simple example of an animated plot
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-fig, ax = plt.subplots()
-
-x = np.arange(0, 2*np.pi, 0.01)
-line, = ax.plot(x, np.sin(x))
-
-
-def animate(i):
-    line.set_ydata(np.sin(x + i/10.0))  # update the data
-    return line,
-
-
-# Init only required for blitting to give a clean slate.
-def init():
-    line.set_ydata(np.ma.array(x, mask=True))
-    return line,
-
-ani = animation.FuncAnimation(fig, animate, np.arange(1, 200), init_func=init,
-                              interval=25, blit=True)
-plt.show()
diff --git a/examples/animation/strip_chart_demo.py b/examples/animation/strip_chart_demo.py
deleted file mode 100644
index a3ee7ce7efad..000000000000
--- a/examples/animation/strip_chart_demo.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""
-Emulate an oscilloscope.  Requires the animation API introduced in
-matplotlib 1.0 SVN.
-"""
-import numpy as np
-from matplotlib.lines import Line2D
-import matplotlib.pyplot as plt
-import matplotlib.animation as animation
-
-
-class Scope(object)
-    def __init__(self, ax, maxt=2, dt=0.02):
-        self.ax = ax
-        self.dt = dt
-        self.maxt = maxt
-        self.tdata = [0]
-        self.ydata = [0]
-        self.line = Line2D(self.tdata, self.ydata)
-        self.ax.add_line(self.line)
-        self.ax.set_ylim(-.1, 1.1)
-        self.ax.set_xlim(0, self.maxt)
-
-    def update(self, y):
-        lastt = self.tdata[-1]
-        if lastt > self.tdata[0] + self.maxt:  # reset the arrays
-            self.tdata = [self.tdata[-1]]
-            self.ydata = [self.ydata[-1]]
-            self.ax.set_xlim(self.tdata[0], self.tdata[0] + self.maxt)
-            self.ax.figure.canvas.draw()
-
-        t = self.tdata[-1] + self.dt
-        self.tdata.append(t)
-        self.ydata.append(y)
-        self.line.set_data(self.tdata, self.ydata)
-        return self.line,
-
-
-def emitter(p=0.03):
-    'return a random value with probability p, else 0'
-    while True:
-        v = np.random.rand(1)
-        if v > p:
-            yield 0.
-        else:
-            yield np.random.rand(1)
-
-fig, ax = plt.subplots()
-scope = Scope(ax)
-
-# pass a generator in "emitter" to produce data for the update func
-ani = animation.FuncAnimation(fig, scope.update, emitter, interval=10,
-                              blit=True)
-
-
-plt.show()
diff --git a/examples/animation/subplots.py b/examples/animation/subplots.py
deleted file mode 100644
index 210fb2dc39e2..000000000000
--- a/examples/animation/subplots.py
+++ /dev/null
@@ -1,97 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.lines import Line2D
-import matplotlib.animation as animation
-
-
-# This example uses subclassing, but there is no reason that the proper
-# function couldn't be set up and then use FuncAnimation. The code is long, but
-# not really complex. The length is due solely to the fact that there are a
-# total of 9 lines that need to be changed for the animation as well as 3
-# subplots that need initial set up.
-class SubplotAnimation(animation.TimedAnimation):
-    def __init__(self):
-        fig = plt.figure()
-        ax1 = fig.add_subplot(1, 2, 1)
-        ax2 = fig.add_subplot(2, 2, 2)
-        ax3 = fig.add_subplot(2, 2, 4)
-
-        self.t = np.linspace(0, 80, 400)
-        self.x = np.cos(2 * np.pi * self.t / 10.)
-        self.y = np.sin(2 * np.pi * self.t / 10.)
-        self.z = 10 * self.t
-
-        ax1.set_xlabel('x')
-        ax1.set_ylabel('y')
-        self.line1 = Line2D([], [], color='black')
-        self.line1a = Line2D([], [], color='red', linewidth=2)
-        self.line1e = Line2D(
-            [], [], color='red', marker='o', markeredgecolor='r')
-        ax1.add_line(self.line1)
-        ax1.add_line(self.line1a)
-        ax1.add_line(self.line1e)
-        ax1.set_xlim(-1, 1)
-        ax1.set_ylim(-2, 2)
-        ax1.set_aspect('equal', 'datalim')
-
-        ax2.set_xlabel('y')
-        ax2.set_ylabel('z')
-        self.line2 = Line2D([], [], color='black')
-        self.line2a = Line2D([], [], color='red', linewidth=2)
-        self.line2e = Line2D(
-            [], [], color='red', marker='o', markeredgecolor='r')
-        ax2.add_line(self.line2)
-        ax2.add_line(self.line2a)
-        ax2.add_line(self.line2e)
-        ax2.set_xlim(-1, 1)
-        ax2.set_ylim(0, 800)
-
-        ax3.set_xlabel('x')
-        ax3.set_ylabel('z')
-        self.line3 = Line2D([], [], color='black')
-        self.line3a = Line2D([], [], color='red', linewidth=2)
-        self.line3e = Line2D(
-            [], [], color='red', marker='o', markeredgecolor='r')
-        ax3.add_line(self.line3)
-        ax3.add_line(self.line3a)
-        ax3.add_line(self.line3e)
-        ax3.set_xlim(-1, 1)
-        ax3.set_ylim(0, 800)
-
-        animation.TimedAnimation.__init__(self, fig, interval=50, blit=True)
-
-    def _draw_frame(self, framedata):
-        i = framedata
-        head = i - 1
-        head_len = 10
-        head_slice = (self.t > self.t[i] - 1.0) & (self.t < self.t[i])
-
-        self.line1.set_data(self.x[:i], self.y[:i])
-        self.line1a.set_data(self.x[head_slice], self.y[head_slice])
-        self.line1e.set_data(self.x[head], self.y[head])
-
-        self.line2.set_data(self.y[:i], self.z[:i])
-        self.line2a.set_data(self.y[head_slice], self.z[head_slice])
-        self.line2e.set_data(self.y[head], self.z[head])
-
-        self.line3.set_data(self.x[:i], self.z[:i])
-        self.line3a.set_data(self.x[head_slice], self.z[head_slice])
-        self.line3e.set_data(self.x[head], self.z[head])
-
-        self._drawn_artists = [self.line1, self.line1a, self.line1e,
-                               self.line2, self.line2a, self.line2e,
-                               self.line3, self.line3a, self.line3e]
-
-    def new_frame_seq(self):
-        return iter(range(self.t.size))
-
-    def _init_draw(self):
-        lines = [self.line1, self.line1a, self.line1e,
-                 self.line2, self.line2a, self.line2e,
-                 self.line3, self.line3a, self.line3e]
-        for l in lines:
-            l.set_data([], [])
-
-ani = SubplotAnimation()
-#ani.save('test_sub.mp4')
-plt.show()
diff --git a/examples/api/README.txt b/examples/api/README.txt
deleted file mode 100644
index a0b901f9d20c..000000000000
--- a/examples/api/README.txt
+++ /dev/null
@@ -1,39 +0,0 @@
-matplotlib API
-==============
-
-These examples use the matplotlib api rather than the pylab/pyplot
-procedural state machine.  For robust, production level scripts, or
-for applications or web application servers, we recommend you use the
-matplotlib API directly as it gives you the maximum control over your
-figures, axes and plottng commands.
-
-The example agg_oo.py is the simplest example of using the Agg backend
-which is readily ported to other output formats.  This example is a
-good starting point if your are a web application developer.  Many of
-the other examples in this directory use matplotlib.pyplot just to
-create the figure and show calls, and use the API for everything else.
-This is a good solution for production quality scripts.  For full
-fledged GUI applications, see the user_interfaces examples.
-
-Example style guide
-===================
-
-If you are creating new examples, you cannot import pylab or import *
-from any module in your examples.  The only three functions allowed
-from pyplot are "figure", "show" and "close", which you can use as
-convenience functions for managing figures.  All other matplotlib
-functionality must illustrate the API.
-
-A simple example of the recommended style is::
-
-    import numpy as np
-    import matplotlib.pyplot as plt
-
-    fig, ax = plt.subplots()
-    ax.plot(np.random.rand(10))
-    ax.set_xlabel('some x data')
-    ax.set_ylabel('some y data')
-    ax.set_title('some title')
-    ax.grid(True)
-    fig.savefig('myfig')
-    plt.show()
diff --git a/examples/api/agg_oo.py b/examples/api/agg_oo.py
deleted file mode 100644
index 76fb7665fa54..000000000000
--- a/examples/api/agg_oo.py
+++ /dev/null
@@ -1,17 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-"""
-A pure OO (look Ma, no pylab!) example using the agg backend
-"""
-from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
-from matplotlib.figure import Figure
-
-fig = Figure()
-canvas = FigureCanvas(fig)
-ax = fig.add_subplot(111)
-ax.plot([1, 2, 3])
-ax.set_title('hi mom')
-ax.grid(True)
-ax.set_xlabel('time')
-ax.set_ylabel('volts')
-canvas.print_figure('test')
diff --git a/examples/api/barchart_demo.py b/examples/api/barchart_demo.py
deleted file mode 100644
index eceb5dc3aa09..000000000000
--- a/examples/api/barchart_demo.py
+++ /dev/null
@@ -1,41 +0,0 @@
-
-#!/usr/bin/env python
-# a bar plot with errorbars
-import numpy as np
-import matplotlib.pyplot as plt
-
-N = 5
-menMeans = (20, 35, 30, 35, 27)
-menStd = (2, 3, 4, 1, 2)
-
-ind = np.arange(N)  # the x locations for the groups
-width = 0.35       # the width of the bars
-
-fig, ax = plt.subplots()
-rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)
-
-womenMeans = (25, 32, 34, 20, 25)
-womenStd = (3, 5, 2, 3, 3)
-rects2 = ax.bar(ind + width, womenMeans, width, color='y', yerr=womenStd)
-
-# add some text for labels, title and axes ticks
-ax.set_ylabel('Scores')
-ax.set_title('Scores by group and gender')
-ax.set_xticks(ind + width)
-ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
-
-ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))
-
-
-def autolabel(rects):
-    # attach some text labels
-    for rect in rects:
-        height = rect.get_height()
-        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
-                '%d' % int(height),
-                ha='center', va='bottom')
-
-autolabel(rects1)
-autolabel(rects2)
-
-plt.show()
diff --git a/examples/api/bbox_intersect.py b/examples/api/bbox_intersect.py
deleted file mode 100644
index 8fa33637b285..000000000000
--- a/examples/api/bbox_intersect.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.transforms import Bbox
-from matplotlib.path import Path
-
-rect = plt.Rectangle((-1, -1), 2, 2, facecolor="#aaaaaa")
-plt.gca().add_patch(rect)
-bbox = Bbox.from_bounds(-1, -1, 2, 2)
-
-for i in range(12):
-    vertices = (np.random.random((2, 2)) - 0.5) * 6.0
-    path = Path(vertices)
-    if path.intersects_bbox(bbox):
-        color = 'r'
-    else:
-        color = 'b'
-    plt.plot(vertices[:, 0], vertices[:, 1], color=color)
-
-plt.show()
diff --git a/examples/api/collections_demo.py b/examples/api/collections_demo.py
deleted file mode 100644
index 90873f886d9b..000000000000
--- a/examples/api/collections_demo.py
+++ /dev/null
@@ -1,126 +0,0 @@
-#!/usr/bin/env python
-'''Demonstration of LineCollection, PolyCollection, and
-RegularPolyCollection with autoscaling.
-
-For the first two subplots, we will use spirals.  Their
-size will be set in plot units, not data units.  Their positions
-will be set in data units by using the "offsets" and "transOffset"
-kwargs of the LineCollection and PolyCollection.
-
-The third subplot will make regular polygons, with the same
-type of scaling and positioning as in the first two.
-
-The last subplot illustrates the use of "offsets=(xo,yo)",
-that is, a single tuple instead of a list of tuples, to generate
-successively offset curves, with the offset given in data
-units.  This behavior is available only for the LineCollection.
-
-'''
-
-import matplotlib.pyplot as plt
-from matplotlib import collections, transforms
-from matplotlib.colors import colorConverter
-import numpy as np
-
-nverts = 50
-npts = 100
-
-# Make some spirals
-r = np.arange(nverts)
-theta = np.linspace(0, 2*np.pi, nverts)
-xx = r * np.sin(theta)
-yy = r * np.cos(theta)
-spiral = list(zip(xx, yy))
-
-# Make some offsets
-rs = np.random.RandomState([12345678])
-xo = rs.randn(npts)
-yo = rs.randn(npts)
-xyo = list(zip(xo, yo))
-
-# Make a list of colors cycling through the rgbcmyk series.
-colors = [colorConverter.to_rgba(c)
-          for c in ('r', 'g', 'b', 'c', 'y', 'm', 'k')]
-
-fig, axes = plt.subplots(2, 2)
-((ax1, ax2), (ax3, ax4)) = axes  # unpack the axes
-
-
-col = collections.LineCollection([spiral], offsets=xyo,
-                                 transOffset=ax1.transData)
-trans = fig.dpi_scale_trans + transforms.Affine2D().scale(1.0/72.0)
-col.set_transform(trans)  # the points to pixels transform
-# Note: the first argument to the collection initializer
-# must be a list of sequences of x,y tuples; we have only
-# one sequence, but we still have to put it in a list.
-ax1.add_collection(col, autolim=True)
-# autolim=True enables autoscaling.  For collections with
-# offsets like this, it is neither efficient nor accurate,
-# but it is good enough to generate a plot that you can use
-# as a starting point.  If you know beforehand the range of
-# x and y that you want to show, it is better to set them
-# explicitly, leave out the autolim kwarg (or set it to False),
-# and omit the 'ax1.autoscale_view()' call below.
-
-# Make a transform for the line segments such that their size is
-# given in points:
-col.set_color(colors)
-
-ax1.autoscale_view()  # See comment above, after ax1.add_collection.
-ax1.set_title('LineCollection using offsets')
-
-
-# The same data as above, but fill the curves.
-col = collections.PolyCollection([spiral], offsets=xyo,
-                                 transOffset=ax2.transData)
-trans = transforms.Affine2D().scale(fig.dpi/72.0)
-col.set_transform(trans)  # the points to pixels transform
-ax2.add_collection(col, autolim=True)
-col.set_color(colors)
-
-
-ax2.autoscale_view()
-ax2.set_title('PolyCollection using offsets')
-
-# 7-sided regular polygons
-
-col = collections.RegularPolyCollection(7,
-                                        sizes=np.fabs(xx) * 10.0, offsets=xyo,
-                                        transOffset=ax3.transData)
-trans = transforms.Affine2D().scale(fig.dpi / 72.0)
-col.set_transform(trans)  # the points to pixels transform
-ax3.add_collection(col, autolim=True)
-col.set_color(colors)
-ax3.autoscale_view()
-ax3.set_title('RegularPolyCollection using offsets')
-
-
-# Simulate a series of ocean current profiles, successively
-# offset by 0.1 m/s so that they form what is sometimes called
-# a "waterfall" plot or a "stagger" plot.
-
-nverts = 60
-ncurves = 20
-offs = (0.1, 0.0)
-
-yy = np.linspace(0, 2*np.pi, nverts)
-ym = np.amax(yy)
-xx = (0.2 + (ym - yy)/ym)**2 * np.cos(yy - 0.4)*0.5
-segs = []
-for i in range(ncurves):
-    xxx = xx + 0.02*rs.randn(nverts)
-    curve = list(zip(xxx, yy*100))
-    segs.append(curve)
-
-col = collections.LineCollection(segs, offsets=offs)
-ax4.add_collection(col, autolim=True)
-col.set_color(colors)
-ax4.autoscale_view()
-ax4.set_title('Successive data offsets')
-ax4.set_xlabel('Zonal velocity component (m/s)')
-ax4.set_ylabel('Depth (m)')
-# Reverse the y-axis so depth increases downward
-ax4.set_ylim(ax4.get_ylim()[::-1])
-
-
-plt.show()
diff --git a/examples/api/colorbar_only.py b/examples/api/colorbar_only.py
deleted file mode 100644
index e2a2df61e23e..000000000000
--- a/examples/api/colorbar_only.py
+++ /dev/null
@@ -1,74 +0,0 @@
-'''
-Make a colorbar as a separate figure.
-'''
-
-from matplotlib import pyplot
-import matplotlib as mpl
-
-# Make a figure and axes with dimensions as desired.
-fig = pyplot.figure(figsize=(8, 3))
-ax1 = fig.add_axes([0.05, 0.80, 0.9, 0.15])
-ax2 = fig.add_axes([0.05, 0.475, 0.9, 0.15])
-ax3 = fig.add_axes([0.05, 0.15, 0.9, 0.15])
-
-# Set the colormap and norm to correspond to the data for which
-# the colorbar will be used.
-cmap = mpl.cm.cool
-norm = mpl.colors.Normalize(vmin=5, vmax=10)
-
-# ColorbarBase derives from ScalarMappable and puts a colorbar
-# in a specified axes, so it has everything needed for a
-# standalone colorbar.  There are many more kwargs, but the
-# following gives a basic continuous colorbar with ticks
-# and labels.
-cb1 = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,
-                                norm=norm,
-                                orientation='horizontal')
-cb1.set_label('Some Units')
-
-# The second example illustrates the use of a ListedColormap, a
-# BoundaryNorm, and extended ends to show the "over" and "under"
-# value colors.
-cmap = mpl.colors.ListedColormap(['r', 'g', 'b', 'c'])
-cmap.set_over('0.25')
-cmap.set_under('0.75')
-
-# If a ListedColormap is used, the length of the bounds array must be
-# one greater than the length of the color list.  The bounds must be
-# monotonically increasing.
-bounds = [1, 2, 4, 7, 8]
-norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
-cb2 = mpl.colorbar.ColorbarBase(ax2, cmap=cmap,
-                                norm=norm,
-                                # to use 'extend', you must
-                                # specify two extra boundaries:
-                                boundaries=[0] + bounds + [13],
-                                extend='both',
-                                ticks=bounds,  # optional
-                                spacing='proportional',
-                                orientation='horizontal')
-cb2.set_label('Discrete intervals, some other units')
-
-# The third example illustrates the use of custom length colorbar
-# extensions, used on a colorbar with discrete intervals.
-cmap = mpl.colors.ListedColormap([[0., .4, 1.], [0., .8, 1.],
-                                  [1., .8, 0.], [1., .4, 0.]])
-cmap.set_over((1., 0., 0.))
-cmap.set_under((0., 0., 1.))
-
-bounds = [-1., -.5, 0., .5, 1.]
-norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
-cb3 = mpl.colorbar.ColorbarBase(ax3, cmap=cmap,
-                                norm=norm,
-                                boundaries=[-10] + bounds + [10],
-                                extend='both',
-                                # Make the length of each extension
-                                # the same as the length of the
-                                # interior colors:
-                                extendfrac='auto',
-                                ticks=bounds,
-                                spacing='uniform',
-                                orientation='horizontal')
-cb3.set_label('Custom extension lengths, some other units')
-
-pyplot.show()
diff --git a/examples/api/compound_path.py b/examples/api/compound_path.py
deleted file mode 100644
index 7783ec822e1d..000000000000
--- a/examples/api/compound_path.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""
-Make a compund path -- in this case two simple polygons, a rectangle
-and a triangle.  Use CLOSEOPOLY and MOVETO for the different parts of
-the compound path
-"""
-import numpy as np
-from matplotlib.path import Path
-from matplotlib.patches import PathPatch
-import matplotlib.pyplot as plt
-
-
-vertices = []
-codes = []
-
-codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
-vertices = [(1, 1), (1, 2), (2, 2), (2, 1), (0, 0)]
-
-codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
-vertices += [(4, 4), (5, 5), (5, 4), (0, 0)]
-
-vertices = np.array(vertices, float)
-path = Path(vertices, codes)
-
-pathpatch = PathPatch(path, facecolor='None', edgecolor='green')
-
-fig, ax = plt.subplots()
-ax.add_patch(pathpatch)
-ax.set_title('A compound path')
-
-ax.dataLim.update_from_data_xy(vertices)
-ax.autoscale_view()
-
-
-plt.show()
diff --git a/examples/api/custom_projection_example.py b/examples/api/custom_projection_example.py
deleted file mode 100644
index 3389b77a4a28..000000000000
--- a/examples/api/custom_projection_example.py
+++ /dev/null
@@ -1,483 +0,0 @@
-from __future__ import unicode_literals
-
-import matplotlib
-from matplotlib.axes import Axes
-from matplotlib.patches import Circle
-from matplotlib.path import Path
-from matplotlib.ticker import NullLocator, Formatter, FixedLocator
-from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
-from matplotlib.projections import register_projection
-import matplotlib.spines as mspines
-import matplotlib.axis as maxis
-
-import numpy as np
-
-# This example projection class is rather long, but it is designed to
-# illustrate many features, not all of which will be used every time.
-# It is also common to factor out a lot of these methods into common
-# code used by a number of projections with similar characteristics
-# (see geo.py).
-
-
-class HammerAxes(Axes):
-    """
-    A custom class for the Aitoff-Hammer projection, an equal-area map
-    projection.
-
-    http://en.wikipedia.org/wiki/Hammer_projection
-    """
-    # The projection must specify a name.  This will be used be the
-    # user to select the projection, i.e. ``subplot(111,
-    # projection='custom_hammer')``.
-    name = 'custom_hammer'
-
-    def __init__(self, *args, **kwargs):
-        Axes.__init__(self, *args, **kwargs)
-        self.set_aspect(0.5, adjustable='box', anchor='C')
-        self.cla()
-
-    def _init_axis(self):
-        self.xaxis = maxis.XAxis(self)
-        self.yaxis = maxis.YAxis(self)
-        # Do not register xaxis or yaxis with spines -- as done in
-        # Axes._init_axis() -- until HammerAxes.xaxis.cla() works.
-        #self.spines['hammer'].register_axis(self.yaxis)
-        self._update_transScale()
-
-    def cla(self):
-        """
-        Override to set up some reasonable defaults.
-        """
-        # Don't forget to call the base class
-        Axes.cla(self)
-
-        # Set up a default grid spacing
-        self.set_longitude_grid(30)
-        self.set_latitude_grid(15)
-        self.set_longitude_grid_ends(75)
-
-        # Turn off minor ticking altogether
-        self.xaxis.set_minor_locator(NullLocator())
-        self.yaxis.set_minor_locator(NullLocator())
-
-        # Do not display ticks -- we only want gridlines and text
-        self.xaxis.set_ticks_position('none')
-        self.yaxis.set_ticks_position('none')
-
-        # The limits on this projection are fixed -- they are not to
-        # be changed by the user.  This makes the math in the
-        # transformation itself easier, and since this is a toy
-        # example, the easier, the better.
-        Axes.set_xlim(self, -np.pi, np.pi)
-        Axes.set_ylim(self, -np.pi / 2.0, np.pi / 2.0)
-
-    def _set_lim_and_transforms(self):
-        """
-        This is called once when the plot is created to set up all the
-        transforms for the data, text and grids.
-        """
-        # There are three important coordinate spaces going on here:
-        #
-        #    1. Data space: The space of the data itself
-        #
-        #    2. Axes space: The unit rectangle (0, 0) to (1, 1)
-        #       covering the entire plot area.
-        #
-        #    3. Display space: The coordinates of the resulting image,
-        #       often in pixels or dpi/inch.
-
-        # This function makes heavy use of the Transform classes in
-        # ``lib/matplotlib/transforms.py.`` For more information, see
-        # the inline documentation there.
-
-        # The goal of the first two transformations is to get from the
-        # data space (in this case longitude and latitude) to axes
-        # space.  It is separated into a non-affine and affine part so
-        # that the non-affine part does not have to be recomputed when
-        # a simple affine change to the figure has been made (such as
-        # resizing the window or changing the dpi).
-
-        # 1) The core transformation from data space into
-        # rectilinear space defined in the HammerTransform class.
-        self.transProjection = self.HammerTransform()
-
-        # 2) The above has an output range that is not in the unit
-        # rectangle, so scale and translate it so it fits correctly
-        # within the axes.  The peculiar calculations of xscale and
-        # yscale are specific to a Aitoff-Hammer projection, so don't
-        # worry about them too much.
-        xscale = 2.0 * np.sqrt(2.0) * np.sin(0.5 * np.pi)
-        yscale = np.sqrt(2.0) * np.sin(0.5 * np.pi)
-        self.transAffine = Affine2D() \
-            .scale(0.5 / xscale, 0.5 / yscale) \
-            .translate(0.5, 0.5)
-
-        # 3) This is the transformation from axes space to display
-        # space.
-        self.transAxes = BboxTransformTo(self.bbox)
-
-        # Now put these 3 transforms together -- from data all the way
-        # to display coordinates.  Using the '+' operator, these
-        # transforms will be applied "in order".  The transforms are
-        # automatically simplified, if possible, by the underlying
-        # transformation framework.
-        self.transData = \
-            self.transProjection + \
-            self.transAffine + \
-            self.transAxes
-
-        # The main data transformation is set up.  Now deal with
-        # gridlines and tick labels.
-
-        # Longitude gridlines and ticklabels.  The input to these
-        # transforms are in display space in x and axes space in y.
-        # Therefore, the input values will be in range (-xmin, 0),
-        # (xmax, 1).  The goal of these transforms is to go from that
-        # space to display space.  The tick labels will be offset 4
-        # pixels from the equator.
-        self._xaxis_pretransform = \
-            Affine2D() \
-            .scale(1.0, np.pi) \
-            .translate(0.0, -np.pi)
-        self._xaxis_transform = \
-            self._xaxis_pretransform + \
-            self.transData
-        self._xaxis_text1_transform = \
-            Affine2D().scale(1.0, 0.0) + \
-            self.transData + \
-            Affine2D().translate(0.0, 4.0)
-        self._xaxis_text2_transform = \
-            Affine2D().scale(1.0, 0.0) + \
-            self.transData + \
-            Affine2D().translate(0.0, -4.0)
-
-        # Now set up the transforms for the latitude ticks.  The input to
-        # these transforms are in axes space in x and display space in
-        # y.  Therefore, the input values will be in range (0, -ymin),
-        # (1, ymax).  The goal of these transforms is to go from that
-        # space to display space.  The tick labels will be offset 4
-        # pixels from the edge of the axes ellipse.
-        yaxis_stretch = Affine2D().scale(2*np.pi, 1.0).translate(-np.pi, 0.0)
-        yaxis_space = Affine2D().scale(1.0, 1.1)
-        self._yaxis_transform = \
-            yaxis_stretch + \
-            self.transData
-        yaxis_text_base = \
-            yaxis_stretch + \
-            self.transProjection + \
-            (yaxis_space +
-             self.transAffine +
-             self.transAxes)
-        self._yaxis_text1_transform = \
-            yaxis_text_base + \
-            Affine2D().translate(-8.0, 0.0)
-        self._yaxis_text2_transform = \
-            yaxis_text_base + \
-            Affine2D().translate(8.0, 0.0)
-
-    def get_xaxis_transform(self, which='grid'):
-        """
-        Override this method to provide a transformation for the
-        x-axis grid and ticks.
-        """
-        assert which in ['tick1', 'tick2', 'grid']
-        return self._xaxis_transform
-
-    def get_xaxis_text1_transform(self, pixelPad):
-        """
-        Override this method to provide a transformation for the
-        x-axis tick labels.
-
-        Returns a tuple of the form (transform, valign, halign)
-        """
-        return self._xaxis_text1_transform, 'bottom', 'center'
-
-    def get_xaxis_text2_transform(self, pixelPad):
-        """
-        Override this method to provide a transformation for the
-        secondary x-axis tick labels.
-
-        Returns a tuple of the form (transform, valign, halign)
-        """
-        return self._xaxis_text2_transform, 'top', 'center'
-
-    def get_yaxis_transform(self, which='grid'):
-        """
-        Override this method to provide a transformation for the
-        y-axis grid and ticks.
-        """
-        assert which in ['tick1', 'tick2', 'grid']
-        return self._yaxis_transform
-
-    def get_yaxis_text1_transform(self, pixelPad):
-        """
-        Override this method to provide a transformation for the
-        y-axis tick labels.
-
-        Returns a tuple of the form (transform, valign, halign)
-        """
-        return self._yaxis_text1_transform, 'center', 'right'
-
-    def get_yaxis_text2_transform(self, pixelPad):
-        """
-        Override this method to provide a transformation for the
-        secondary y-axis tick labels.
-
-        Returns a tuple of the form (transform, valign, halign)
-        """
-        return self._yaxis_text2_transform, 'center', 'left'
-
-    def _gen_axes_patch(self):
-        """
-        Override this method to define the shape that is used for the
-        background of the plot.  It should be a subclass of Patch.
-
-        In this case, it is a Circle (that may be warped by the axes
-        transform into an ellipse).  Any data and gridlines will be
-        clipped to this shape.
-        """
-        return Circle((0.5, 0.5), 0.5)
-
-    def _gen_axes_spines(self):
-        return {'custom_hammer': mspines.Spine.circular_spine(self,
-                                                              (0.5, 0.5), 0.5)}
-
-    # Prevent the user from applying scales to one or both of the
-    # axes.  In this particular case, scaling the axes wouldn't make
-    # sense, so we don't allow it.
-    def set_xscale(self, *args, **kwargs):
-        if args[0] != 'linear':
-            raise NotImplementedError
-        Axes.set_xscale(self, *args, **kwargs)
-
-    def set_yscale(self, *args, **kwargs):
-        if args[0] != 'linear':
-            raise NotImplementedError
-        Axes.set_yscale(self, *args, **kwargs)
-
-    # Prevent the user from changing the axes limits.  In our case, we
-    # want to display the whole sphere all the time, so we override
-    # set_xlim and set_ylim to ignore any input.  This also applies to
-    # interactive panning and zooming in the GUI interfaces.
-    def set_xlim(self, *args, **kwargs):
-        Axes.set_xlim(self, -np.pi, np.pi)
-        Axes.set_ylim(self, -np.pi / 2.0, np.pi / 2.0)
-    set_ylim = set_xlim
-
-    def format_coord(self, lon, lat):
-        """
-        Override this method to change how the values are displayed in
-        the status bar.
-
-        In this case, we want them to be displayed in degrees N/S/E/W.
-        """
-        lon = lon * (180.0 / np.pi)
-        lat = lat * (180.0 / np.pi)
-        if lat >= 0.0:
-            ns = 'N'
-        else:
-            ns = 'S'
-        if lon >= 0.0:
-            ew = 'E'
-        else:
-            ew = 'W'
-        # \u00b0 : degree symbol
-        return '%f\u00b0%s, %f\u00b0%s' % (abs(lat), ns, abs(lon), ew)
-
-    class DegreeFormatter(Formatter):
-        """
-        This is a custom formatter that converts the native unit of
-        radians into (truncated) degrees and adds a degree symbol.
-        """
-
-        def __init__(self, round_to=1.0):
-            self._round_to = round_to
-
-        def __call__(self, x, pos=None):
-            degrees = (x / np.pi) * 180.0
-            degrees = round(degrees / self._round_to) * self._round_to
-            # \u00b0 : degree symbol
-            return "%d\u00b0" % degrees
-
-    def set_longitude_grid(self, degrees):
-        """
-        Set the number of degrees between each longitude grid.
-
-        This is an example method that is specific to this projection
-        class -- it provides a more convenient interface to set the
-        ticking than set_xticks would.
-        """
-        # Set up a FixedLocator at each of the points, evenly spaced
-        # by degrees.
-        number = (360.0 / degrees) + 1
-        self.xaxis.set_major_locator(
-            plt.FixedLocator(
-                np.linspace(-np.pi, np.pi, number, True)[1:-1]))
-        # Set the formatter to display the tick labels in degrees,
-        # rather than radians.
-        self.xaxis.set_major_formatter(self.DegreeFormatter(degrees))
-
-    def set_latitude_grid(self, degrees):
-        """
-        Set the number of degrees between each longitude grid.
-
-        This is an example method that is specific to this projection
-        class -- it provides a more convenient interface than
-        set_yticks would.
-        """
-        # Set up a FixedLocator at each of the points, evenly spaced
-        # by degrees.
-        number = (180.0 / degrees) + 1
-        self.yaxis.set_major_locator(
-            FixedLocator(
-                np.linspace(-np.pi / 2.0, np.pi / 2.0, number, True)[1:-1]))
-        # Set the formatter to display the tick labels in degrees,
-        # rather than radians.
-        self.yaxis.set_major_formatter(self.DegreeFormatter(degrees))
-
-    def set_longitude_grid_ends(self, degrees):
-        """
-        Set the latitude(s) at which to stop drawing the longitude grids.
-
-        Often, in geographic projections, you wouldn't want to draw
-        longitude gridlines near the poles.  This allows the user to
-        specify the degree at which to stop drawing longitude grids.
-
-        This is an example method that is specific to this projection
-        class -- it provides an interface to something that has no
-        analogy in the base Axes class.
-        """
-        longitude_cap = degrees * (np.pi / 180.0)
-        # Change the xaxis gridlines transform so that it draws from
-        # -degrees to degrees, rather than -pi to pi.
-        self._xaxis_pretransform \
-            .clear() \
-            .scale(1.0, longitude_cap * 2.0) \
-            .translate(0.0, -longitude_cap)
-
-    def get_data_ratio(self):
-        """
-        Return the aspect ratio of the data itself.
-
-        This method should be overridden by any Axes that have a
-        fixed data ratio.
-        """
-        return 1.0
-
-    # Interactive panning and zooming is not supported with this projection,
-    # so we override all of the following methods to disable it.
-    def can_zoom(self):
-        """
-        Return True if this axes support the zoom box
-        """
-        return False
-
-    def start_pan(self, x, y, button):
-        pass
-
-    def end_pan(self):
-        pass
-
-    def drag_pan(self, button, key, x, y):
-        pass
-
-    # Now, the transforms themselves.
-
-    class HammerTransform(Transform):
-        """
-        The base Hammer transform.
-        """
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def transform_non_affine(self, ll):
-            """
-            Override the transform_non_affine method to implement the custom
-            transform.
-
-            The input and output are Nx2 numpy arrays.
-            """
-            longitude = ll[:, 0:1]
-            latitude = ll[:, 1:2]
-
-            # Pre-compute some values
-            half_long = longitude / 2.0
-            cos_latitude = np.cos(latitude)
-            sqrt2 = np.sqrt(2.0)
-
-            alpha = 1.0 + cos_latitude * np.cos(half_long)
-            x = (2.0 * sqrt2) * (cos_latitude * np.sin(half_long)) / alpha
-            y = (sqrt2 * np.sin(latitude)) / alpha
-            return np.concatenate((x, y), 1)
-
-        # This is where things get interesting.  With this projection,
-        # straight lines in data space become curves in display space.
-        # This is done by interpolating new values between the input
-        # values of the data.  Since ``transform`` must not return a
-        # differently-sized array, any transform that requires
-        # changing the length of the data array must happen within
-        # ``transform_path``.
-        def transform_path_non_affine(self, path):
-            ipath = path.interpolated(path._interpolation_steps)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path_non_affine.__doc__ = \
-            Transform.transform_path_non_affine.__doc__
-
-        if matplotlib.__version__ < '1.2':
-            # Note: For compatibility with matplotlib v1.1 and older, you'll
-            # need to explicitly implement a ``transform`` method as well.
-            # Otherwise a ``NotImplementedError`` will be raised. This isn't
-            # necessary for v1.2 and newer, however.
-            transform = transform_non_affine
-
-            # Similarly, we need to explicitly override ``transform_path`` if
-            # compatibility with older matplotlib versions is needed. With v1.2
-            # and newer, only overriding the ``transform_path_non_affine``
-            # method is sufficient.
-            transform_path = transform_path_non_affine
-            transform_path.__doc__ = Transform.transform_path.__doc__
-
-        def inverted(self):
-            return HammerAxes.InvertedHammerTransform()
-        inverted.__doc__ = Transform.inverted.__doc__
-
-    class InvertedHammerTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def transform_non_affine(self, xy):
-            x = xy[:, 0:1]
-            y = xy[:, 1:2]
-
-            quarter_x = 0.25 * x
-            half_y = 0.5 * y
-            z = np.sqrt(1.0 - quarter_x*quarter_x - half_y*half_y)
-            longitude = 2*np.arctan((z*x)/(2.0*(2.0*z*z - 1.0)))
-            latitude = np.arcsin(y*z)
-            return np.concatenate((longitude, latitude), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        # As before, we need to implement the "transform" method for
-        # compatibility with matplotlib v1.1 and older.
-        if matplotlib.__version__ < '1.2':
-            transform = transform_non_affine
-
-        def inverted(self):
-            # The inverse of the inverse is the original transform... ;)
-            return HammerAxes.HammerTransform()
-        inverted.__doc__ = Transform.inverted.__doc__
-
-# Now register the projection with matplotlib so the user can select
-# it.
-register_projection(HammerAxes)
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-    # Now make a simple example using the custom projection.
-    plt.subplot(111, projection="custom_hammer")
-    p = plt.plot([-1, 1, 1], [-1, -1, 1], "o-")
-    plt.grid(True)
-
-    plt.show()
diff --git a/examples/api/custom_scale_example.py b/examples/api/custom_scale_example.py
deleted file mode 100644
index 9bb94e402841..000000000000
--- a/examples/api/custom_scale_example.py
+++ /dev/null
@@ -1,172 +0,0 @@
-from __future__ import unicode_literals
-
-import numpy as np
-from numpy import ma
-from matplotlib import scale as mscale
-from matplotlib import transforms as mtransforms
-from matplotlib.ticker import Formatter, FixedLocator
-
-
-class MercatorLatitudeScale(mscale.ScaleBase):
-    """
-    Scales data in range -pi/2 to pi/2 (-90 to 90 degrees) using
-    the system used to scale latitudes in a Mercator projection.
-
-    The scale function:
-      ln(tan(y) + sec(y))
-
-    The inverse scale function:
-      atan(sinh(y))
-
-    Since the Mercator scale tends to infinity at +/- 90 degrees,
-    there is user-defined threshold, above and below which nothing
-    will be plotted.  This defaults to +/- 85 degrees.
-
-    source:
-    http://en.wikipedia.org/wiki/Mercator_projection
-    """
-
-    # The scale class must have a member ``name`` that defines the
-    # string used to select the scale.  For example,
-    # ``gca().set_yscale("mercator")`` would be used to select this
-    # scale.
-    name = 'mercator'
-
-    def __init__(self, axis, **kwargs):
-        """
-        Any keyword arguments passed to ``set_xscale`` and
-        ``set_yscale`` will be passed along to the scale's
-        constructor.
-
-        thresh: The degree above which to crop the data.
-        """
-        mscale.ScaleBase.__init__(self)
-        thresh = kwargs.pop("thresh", (85 / 180.0) * np.pi)
-        if thresh >= np.pi / 2.0:
-            raise ValueError("thresh must be less than pi/2")
-        self.thresh = thresh
-
-    def get_transform(self):
-        """
-        Override this method to return a new instance that does the
-        actual transformation of the data.
-
-        The MercatorLatitudeTransform class is defined below as a
-        nested class of this one.
-        """
-        return self.MercatorLatitudeTransform(self.thresh)
-
-    def set_default_locators_and_formatters(self, axis):
-        """
-        Override to set up the locators and formatters to use with the
-        scale.  This is only required if the scale requires custom
-        locators and formatters.  Writing custom locators and
-        formatters is rather outside the scope of this example, but
-        there are many helpful examples in ``ticker.py``.
-
-        In our case, the Mercator example uses a fixed locator from
-        -90 to 90 degrees and a custom formatter class to put convert
-        the radians to degrees and put a degree symbol after the
-        value::
-        """
-        class DegreeFormatter(Formatter):
-            def __call__(self, x, pos=None):
-                # \u00b0 : degree symbol
-                return "%d\u00b0" % ((x / np.pi) * 180.0)
-
-        deg2rad = np.pi / 180.0
-        axis.set_major_locator(FixedLocator(
-            np.arange(-90, 90, 10) * deg2rad))
-        axis.set_major_formatter(DegreeFormatter())
-        axis.set_minor_formatter(DegreeFormatter())
-
-    def limit_range_for_scale(self, vmin, vmax, minpos):
-        """
-        Override to limit the bounds of the axis to the domain of the
-        transform.  In the case of Mercator, the bounds should be
-        limited to the threshold that was passed in.  Unlike the
-        autoscaling provided by the tick locators, this range limiting
-        will always be adhered to, whether the axis range is set
-        manually, determined automatically or changed through panning
-        and zooming.
-        """
-        return max(vmin, -self.thresh), min(vmax, self.thresh)
-
-    class MercatorLatitudeTransform(mtransforms.Transform):
-        # There are two value members that must be defined.
-        # ``input_dims`` and ``output_dims`` specify number of input
-        # dimensions and output dimensions to the transformation.
-        # These are used by the transformation framework to do some
-        # error checking and prevent incompatible transformations from
-        # being connected together.  When defining transforms for a
-        # scale, which are, by definition, separable and have only one
-        # dimension, these members should always be set to 1.
-        input_dims = 1
-        output_dims = 1
-        is_separable = True
-
-        def __init__(self, thresh):
-            mtransforms.Transform.__init__(self)
-            self.thresh = thresh
-
-        def transform_non_affine(self, a):
-            """
-            This transform takes an Nx1 ``numpy`` array and returns a
-            transformed copy.  Since the range of the Mercator scale
-            is limited by the user-specified threshold, the input
-            array must be masked to contain only valid values.
-            ``matplotlib`` will handle masked arrays and remove the
-            out-of-range data from the plot.  Importantly, the
-            ``transform`` method *must* return an array that is the
-            same shape as the input array, since these values need to
-            remain synchronized with values in the other dimension.
-            """
-            masked = ma.masked_where((a < -self.thresh) | (a > self.thresh), a)
-            if masked.mask.any():
-                return ma.log(np.abs(ma.tan(masked) + 1.0 / ma.cos(masked)))
-            else:
-                return np.log(np.abs(np.tan(a) + 1.0 / np.cos(a)))
-
-        def inverted(self):
-            """
-            Override this method so matplotlib knows how to get the
-            inverse transform for this transform.
-            """
-            return MercatorLatitudeScale.InvertedMercatorLatitudeTransform(
-                self.thresh)
-
-    class InvertedMercatorLatitudeTransform(mtransforms.Transform):
-        input_dims = 1
-        output_dims = 1
-        is_separable = True
-
-        def __init__(self, thresh):
-            mtransforms.Transform.__init__(self)
-            self.thresh = thresh
-
-        def transform_non_affine(self, a):
-            return np.arctan(np.sinh(a))
-
-        def inverted(self):
-            return MercatorLatitudeScale.MercatorLatitudeTransform(self.thresh)
-
-# Now that the Scale class has been defined, it must be registered so
-# that ``matplotlib`` can find it.
-mscale.register_scale(MercatorLatitudeScale)
-
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-
-    t = np.arange(-180.0, 180.0, 0.1)
-    s = t / 360.0 * np.pi
-
-    plt.plot(t, s, '-', lw=2)
-    plt.gca().set_yscale('mercator')
-
-    plt.xlabel('Longitude')
-    plt.ylabel('Latitude')
-    plt.title('Mercator: Projection of the Oppressor')
-    plt.grid(True)
-
-    plt.show()
diff --git a/examples/api/date_demo.py b/examples/api/date_demo.py
deleted file mode 100644
index 220c230cfcc0..000000000000
--- a/examples/api/date_demo.py
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/usr/bin/env python
-"""
-Show how to make date plots in matplotlib using date tick locators and
-formatters.  See major_minor_demo1.py for more information on
-controlling major and minor ticks
-
-All matplotlib date plotting is done by converting date instances into
-days since the 0001-01-01 UTC.  The conversion, tick locating and
-formatting is done behind the scenes so this is most transparent to
-you.  The dates module provides several converter functions date2num
-and num2date
-
-"""
-import datetime
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
-import matplotlib.cbook as cbook
-
-years = mdates.YearLocator()   # every year
-months = mdates.MonthLocator()  # every month
-yearsFmt = mdates.DateFormatter('%Y')
-
-# load a numpy record array from yahoo csv data with fields date,
-# open, close, volume, adj_close from the mpl-data/example directory.
-# The record array stores python datetime.date as an object array in
-# the date column
-datafile = cbook.get_sample_data('goog.npy')
-r = np.load(datafile).view(np.recarray)
-
-fig, ax = plt.subplots()
-ax.plot(r.date, r.adj_close)
-
-
-# format the ticks
-ax.xaxis.set_major_locator(years)
-ax.xaxis.set_major_formatter(yearsFmt)
-ax.xaxis.set_minor_locator(months)
-
-datemin = datetime.date(r.date.min().year, 1, 1)
-datemax = datetime.date(r.date.max().year + 1, 1, 1)
-ax.set_xlim(datemin, datemax)
-
-
-# format the coords message box
-def price(x):
-    return '$%1.2f' % x
-ax.format_xdata = mdates.DateFormatter('%Y-%m-%d')
-ax.format_ydata = price
-ax.grid(True)
-
-# rotates and right aligns the x labels, and moves the bottom of the
-# axes up to make room for them
-fig.autofmt_xdate()
-
-plt.show()
diff --git a/examples/api/date_index_formatter.py b/examples/api/date_index_formatter.py
deleted file mode 100644
index 070adcf6de38..000000000000
--- a/examples/api/date_index_formatter.py
+++ /dev/null
@@ -1,40 +0,0 @@
-"""
-When plotting time series, e.g., financial time series, one often wants
-to leave out days on which there is no data, eh weekends.  The example
-below shows how to use an 'index formatter' to achieve the desired plot
-"""
-from __future__ import print_function
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-import matplotlib.ticker as ticker
-
-datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
-print('loading %s' % datafile)
-r = mlab.csv2rec(datafile)
-
-r.sort()
-r = r[-30:]  # get the last 30 days
-
-
-# first we'll do it the default way, with gaps on weekends
-fig, ax = plt.subplots()
-ax.plot(r.date, r.adj_close, 'o-')
-fig.autofmt_xdate()
-
-# next we'll write a custom formatter
-N = len(r)
-ind = np.arange(N)  # the evenly spaced plot indices
-
-
-def format_date(x, pos=None):
-    thisind = np.clip(int(x + 0.5), 0, N - 1)
-    return r.date[thisind].strftime('%Y-%m-%d')
-
-fig, ax = plt.subplots()
-ax.plot(ind, r.adj_close, 'o-')
-ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
-fig.autofmt_xdate()
-
-plt.show()
diff --git a/examples/api/demo_affine_image.py b/examples/api/demo_affine_image.py
deleted file mode 100644
index 3b5ed23b1fb9..000000000000
--- a/examples/api/demo_affine_image.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/env python
-
-
-"""
-For the backends that supports draw_image with optional affine
-transform (e.g., agg, ps backend), the image of the output should
-have its boundary matches the red rectangles.
-"""
-
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-import matplotlib.transforms as mtransforms
-
-
-def get_image():
-    delta = 0.25
-    x = y = np.arange(-3.0, 3.0, delta)
-    X, Y = np.meshgrid(x, y)
-    Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-    Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-    Z = Z2 - Z1  # difference of Gaussians
-    return Z
-
-
-def imshow_affine(ax, z, *kl, **kwargs):
-    im = ax.imshow(z, *kl, **kwargs)
-    x1, x2, y1, y2 = im.get_extent()
-    im._image_skew_coordinate = (x2, y1)
-    return im
-
-
-if 1:
-
-    # image rotation
-
-    fig, (ax1, ax2) = plt.subplots(1, 2)
-    Z = get_image()
-    im1 = imshow_affine(ax1, Z, interpolation='none', cmap=cm.jet,
-                        origin='lower',
-                        extent=[-2, 4, -3, 2], clip_on=True)
-
-    trans_data2 = mtransforms.Affine2D().rotate_deg(30) + ax1.transData
-    im1.set_transform(trans_data2)
-
-    # display intended extent of the image
-    x1, x2, y1, y2 = im1.get_extent()
-    x3, y3 = x2, y1
-
-    ax1.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], "r--", lw=3,
-             transform=trans_data2)
-
-    ax1.set_xlim(-3, 5)
-    ax1.set_ylim(-4, 4)
-
-    # image skew
-
-    im2 = ax2.imshow(Z, interpolation='none', cmap=cm.jet,
-                     origin='lower',
-                     extent=[-2, 4, -3, 2], clip_on=True)
-    im2._image_skew_coordinate = (3, -2)
-
-    plt.show()
-    #plt.savefig("demo_affine_image")
diff --git a/examples/api/donut_demo.py b/examples/api/donut_demo.py
deleted file mode 100644
index ed99b0229246..000000000000
--- a/examples/api/donut_demo.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import numpy as np
-import matplotlib.path as mpath
-import matplotlib.patches as mpatches
-import matplotlib.pyplot as plt
-
-
-def wise(v):
-    if v == 1:
-        return "CCW"
-    else:
-        return "CW"
-
-
-def make_circle(r):
-    t = np.arange(0, np.pi * 2.0, 0.01)
-    t = t.reshape((len(t), 1))
-    x = r * np.cos(t)
-    y = r * np.sin(t)
-    return np.hstack((x, y))
-
-Path = mpath.Path
-
-fig, ax = plt.subplots()
-
-inside_vertices = make_circle(0.5)
-outside_vertices = make_circle(1.0)
-codes = np.ones(
-    len(inside_vertices), dtype=mpath.Path.code_type) * mpath.Path.LINETO
-codes[0] = mpath.Path.MOVETO
-
-for i, (inside, outside) in enumerate(((1, 1), (1, -1), (-1, 1), (-1, -1))):
-    # Concatenate the inside and outside subpaths together, changing their
-    # order as needed
-    vertices = np.concatenate((outside_vertices[::outside],
-                               inside_vertices[::inside]))
-    # Shift the path
-    vertices[:, 0] += i * 2.5
-    # The codes will be all "LINETO" commands, except for "MOVETO"s at the
-    # beginning of each subpath
-    all_codes = np.concatenate((codes, codes))
-    # Create the Path object
-    path = mpath.Path(vertices, all_codes)
-    # Add plot it
-    patch = mpatches.PathPatch(path, facecolor='#885500', edgecolor='black')
-    ax.add_patch(patch)
-
-    ax.annotate("Outside %s,\nInside %s" % (wise(outside), wise(inside)),
-                (i * 2.5, -1.5), va="top", ha="center")
-
-ax.set_xlim(-2, 10)
-ax.set_ylim(-3, 2)
-ax.set_title('Mmm, donuts!')
-ax.set_aspect(1.0)
-plt.show()
diff --git a/examples/api/engineering_formatter.py b/examples/api/engineering_formatter.py
deleted file mode 100644
index a2c5d3003b16..000000000000
--- a/examples/api/engineering_formatter.py
+++ /dev/null
@@ -1,19 +0,0 @@
-'''
-Demo to show use of the engineering Formatter.
-'''
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-from matplotlib.ticker import EngFormatter
-
-fig, ax = plt.subplots()
-ax.set_xscale('log')
-formatter = EngFormatter(unit='Hz', places=1)
-ax.xaxis.set_major_formatter(formatter)
-
-xs = np.logspace(1, 9, 100)
-ys = (0.8 + 0.4*np.random.uniform(size=100))*np.log10(xs)**2
-ax.plot(xs, ys)
-
-plt.show()
diff --git a/examples/api/font_family_rc.py b/examples/api/font_family_rc.py
deleted file mode 100644
index 28ad06f0375d..000000000000
--- a/examples/api/font_family_rc.py
+++ /dev/null
@@ -1,30 +0,0 @@
-"""
-You can explicitly set which font family is picked up for a given font
-style (e.g., 'serif', 'sans-serif', or 'monospace').
-
-In the example below, we only allow one font family (Tahoma) for the
-san-serif font style.  You the default family with the font.family rc
-param, e.g.,::
-
-  rcParams['font.family'] = 'sans-serif'
-
-and for the font.family you set a list of font styles to try to find
-in order::
-
-  rcParams['font.sans-serif'] = ['Tahoma', 'Bitstream Vera Sans',
-                                 'Lucida Grande', 'Verdana']
-
-"""
-
-# -*- noplot -*-
-
-from matplotlib import rcParams
-rcParams['font.family'] = 'sans-serif'
-rcParams['font.sans-serif'] = ['Tahoma']
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-ax.plot([1, 2, 3], label='test')
-
-ax.legend()
-plt.show()
diff --git a/examples/api/font_file.py b/examples/api/font_file.py
deleted file mode 100644
index 9f321afeded4..000000000000
--- a/examples/api/font_file.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# -*- noplot -*-
-"""
-Although it is usually not a good idea to explicitly point to a single
-ttf file for a font instance, you can do so using the
-font_manager.FontProperties fname argument (for a more flexible
-solution, see the font_fmaily_rc.py and fonts_demo.py examples).
-"""
-import sys
-import os
-import matplotlib.font_manager as fm
-
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-ax.plot([1, 2, 3])
-
-if sys.platform == 'win32':
-    fpath = 'C:\\Windows\\Fonts\\Tahoma.ttf'
-elif sys.platform.startswith('linux'):
-    basedir = '/usr/share/fonts/truetype'
-    fonts = ['freefont/FreeSansBoldOblique.ttf',
-             'ttf-liberation/LiberationSans-BoldItalic.ttf',
-             'msttcorefonts/Comic_Sans_MS.ttf']
-    for fpath in fonts:
-        if os.path.exists(os.path.join(basedir, fpath)):
-            break
-else:
-    fpath = '/Library/Fonts/Tahoma.ttf'
-
-if os.path.exists(fpath):
-    prop = fm.FontProperties(fname=fpath)
-    fname = os.path.split(fpath)[1]
-    ax.set_title('this is a special font: %s' % fname, fontproperties=prop)
-else:
-    ax.set_title('Demo fails--cannot find a demo font')
-ax.set_xlabel('This is the default font')
-
-plt.show()
diff --git a/examples/api/histogram_path_demo.py b/examples/api/histogram_path_demo.py
deleted file mode 100644
index a7b1bd3e8106..000000000000
--- a/examples/api/histogram_path_demo.py
+++ /dev/null
@@ -1,47 +0,0 @@
-"""
-This example shows how to use a path patch to draw a bunch of
-rectangles.  The technique of using lots of Rectangle instances, or
-the faster method of using PolyCollections, were implemented before we
-had proper paths with moveto/lineto, closepoly etc in mpl.  Now that
-we have them, we can draw collections of regularly shaped objects with
-homogeous properties more efficiently with a PathCollection.  This
-example makes a histogram -- its more work to set up the vertex arrays
-at the outset, but it should be much faster for large numbers of
-objects
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.path as path
-
-fig, ax = plt.subplots()
-
-# histogram our data with numpy
-data = np.random.randn(1000)
-n, bins = np.histogram(data, 50)
-
-# get the corners of the rectangles for the histogram
-left = np.array(bins[:-1])
-right = np.array(bins[1:])
-bottom = np.zeros(len(left))
-top = bottom + n
-
-
-# we need a (numrects x numsides x 2) numpy array for the path helper
-# function to build a compound path
-XY = np.array([[left, left, right, right], [bottom, top, top, bottom]]).T
-
-# get the Path object
-barpath = path.Path.make_compound_path_from_polys(XY)
-
-# make a patch out of it
-patch = patches.PathPatch(
-    barpath, facecolor='blue', edgecolor='gray', alpha=0.8)
-ax.add_patch(patch)
-
-# update the view limits
-ax.set_xlim(left[0], right[-1])
-ax.set_ylim(bottom.min(), top.max())
-
-plt.show()
diff --git a/examples/api/image_zcoord.py b/examples/api/image_zcoord.py
deleted file mode 100644
index 38f6fbb3083c..000000000000
--- a/examples/api/image_zcoord.py
+++ /dev/null
@@ -1,27 +0,0 @@
-"""
-Show how to modify the coordinate formatter to report the image "z"
-value of the nearest pixel given x and y
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-
-X = 10*np.random.rand(5, 3)
-
-fig, ax = plt.subplots()
-ax.imshow(X, cmap=cm.jet, interpolation='nearest')
-
-numrows, numcols = X.shape
-
-
-def format_coord(x, y):
-    col = int(x + 0.5)
-    row = int(y + 0.5)
-    if col >= 0 and col < numcols and row >= 0 and row < numrows:
-        z = X[row, col]
-        return 'x=%1.4f, y=%1.4f, z=%1.4f' % (x, y, z)
-    else:
-        return 'x=%1.4f, y=%1.4f' % (x, y)
-
-ax.format_coord = format_coord
-plt.show()
diff --git a/examples/api/joinstyle.py b/examples/api/joinstyle.py
deleted file mode 100644
index b4e3c5e0dfd2..000000000000
--- a/examples/api/joinstyle.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-"""
-Illustrate the three different join styles
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-def plot_angle(ax, x, y, angle, style):
-    phi = angle/180*np.pi
-    xx = [x + .5, x, x + .5*np.cos(phi)]
-    yy = [y, y, y + .5*np.sin(phi)]
-    ax.plot(xx, yy, lw=8, color='blue', solid_joinstyle=style)
-    ax.plot(xx[1:], yy[1:], lw=1, color='black')
-    ax.plot(xx[1::-1], yy[1::-1], lw=1, color='black')
-    ax.plot(xx[1:2], yy[1:2], 'o', color='red', markersize=3)
-    ax.text(x, y + .2, '%.0f degrees' % angle)
-
-fig, ax = plt.subplots()
-ax.set_title('Join style')
-
-for x, style in enumerate((('miter', 'round', 'bevel'))):
-    ax.text(x, 5, style)
-    for i in range(5):
-        plot_angle(ax, x, i, pow(2.0, 3 + i), style)
-
-ax.set_xlim(-.5, 2.75)
-ax.set_ylim(-.5, 5.5)
-plt.show()
diff --git a/examples/api/legend_demo.py b/examples/api/legend_demo.py
deleted file mode 100644
index 6c0bcae3e242..000000000000
--- a/examples/api/legend_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-# Make some fake data.
-a = b = np.arange(0, 3, .02)
-c = np.exp(a)
-d = c[::-1]
-
-# Create plots with pre-defined labels.
-plt.plot(a, c, 'k--', label='Model length')
-plt.plot(a, d, 'k:', label='Data length')
-plt.plot(a, c + d, 'k', label='Total message length')
-
-legend = plt.legend(loc='upper center', shadow=True, fontsize='x-large')
-
-# Put a nicer background color on the legend.
-legend.get_frame().set_facecolor('#00FFCC')
-
-plt.show()
diff --git a/examples/api/line_with_text.py b/examples/api/line_with_text.py
deleted file mode 100644
index f5e4bd383331..000000000000
--- a/examples/api/line_with_text.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""
-Show how to override basic methods so an artist can contain another
-artist.  In this case, the line contains a Text instance to label it.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.lines as lines
-import matplotlib.transforms as mtransforms
-import matplotlib.text as mtext
-
-
-class MyLine(lines.Line2D):
-    def __init__(self, *args, **kwargs):
-        # we'll update the position when the line data is set
-        self.text = mtext.Text(0, 0, '')
-        lines.Line2D.__init__(self, *args, **kwargs)
-
-        # we can't access the label attr until *after* the line is
-        # inited
-        self.text.set_text(self.get_label())
-
-    def set_figure(self, figure):
-        self.text.set_figure(figure)
-        lines.Line2D.set_figure(self, figure)
-
-    def set_axes(self, axes):
-        self.text.set_axes(axes)
-        lines.Line2D.set_axes(self, axes)
-
-    def set_transform(self, transform):
-        # 2 pixel offset
-        texttrans = transform + mtransforms.Affine2D().translate(2, 2)
-        self.text.set_transform(texttrans)
-        lines.Line2D.set_transform(self, transform)
-
-    def set_data(self, x, y):
-        if len(x):
-            self.text.set_position((x[-1], y[-1]))
-
-        lines.Line2D.set_data(self, x, y)
-
-    def draw(self, renderer):
-        # draw my label at the end of the line with 2 pixel offset
-        lines.Line2D.draw(self, renderer)
-        self.text.draw(renderer)
-
-
-fig, ax = plt.subplots()
-x, y = np.random.rand(2, 20)
-line = MyLine(x, y, mfc='red', ms=12, label='line label')
-#line.text.set_text('line label')
-line.text.set_color('red')
-line.text.set_fontsize(16)
-
-
-ax.add_line(line)
-
-
-plt.show()
diff --git a/examples/api/logo2.py b/examples/api/logo2.py
deleted file mode 100644
index d67bda4c3ac9..000000000000
--- a/examples/api/logo2.py
+++ /dev/null
@@ -1,87 +0,0 @@
-"""
-Thanks to Tony Yu <tsyu80@gmail.com> for the logo design
-"""
-
-import numpy as np
-import matplotlib as mpl
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-
-mpl.rcParams['xtick.labelsize'] = 10
-mpl.rcParams['ytick.labelsize'] = 12
-mpl.rcParams['axes.edgecolor'] = 'gray'
-
-
-axalpha = 0.05
-#figcolor = '#EFEFEF'
-figcolor = 'white'
-dpi = 80
-fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
-fig.figurePatch.set_edgecolor(figcolor)
-fig.figurePatch.set_facecolor(figcolor)
-
-
-def add_math_background():
-    ax = fig.add_axes([0., 0., 1., 1.])
-
-    text = []
-    text.append(
-        (r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
-         r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2}"
-         r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 "
-         r"\left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - "
-         r"\alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} "
-         r"}{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))
-    text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} "
-                 r"= -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",
-                 (0.35, 0.9), 20))
-    text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
-                 (0.15, 0.3), 25))
-    #text.append((r"$E = mc^2 = \sqrt{{m_0}^2c^4 + p^2c^2}$",
-    #            (0.7, 0.42), 30))
-    text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
-                 (0.85, 0.7), 30))
-    for eq, (x, y), size in text:
-        ax.text(x, y, eq, ha='center', va='center', color="#11557c",
-                alpha=0.25, transform=ax.transAxes, fontsize=size)
-    ax.set_axis_off()
-    return ax
-
-
-def add_matplotlib_text(ax):
-    ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,
-            ha='right', va='center', alpha=1.0, transform=ax.transAxes)
-
-
-def add_polar_bar():
-    ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], polar=True)
-
-    ax.axesPatch.set_alpha(axalpha)
-    ax.set_axisbelow(True)
-    N = 7
-    arc = 2. * np.pi
-    theta = np.arange(0.0, arc, arc/N)
-    radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
-    width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
-    bars = ax.bar(theta, radii, width=width, bottom=0.0)
-    for r, bar in zip(radii, bars):
-        bar.set_facecolor(cm.jet(r/10.))
-        bar.set_alpha(0.6)
-
-    for label in ax.get_xticklabels() + ax.get_yticklabels():
-        label.set_visible(False)
-
-    for line in ax.get_ygridlines() + ax.get_xgridlines():
-        line.set_lw(0.8)
-        line.set_alpha(0.9)
-        line.set_ls('-')
-        line.set_color('0.5')
-
-    ax.set_yticks(np.arange(1, 9, 2))
-    ax.set_rmax(9)
-
-if __name__ == '__main__':
-    main_axes = add_math_background()
-    add_polar_bar()
-    add_matplotlib_text(main_axes)
-    plt.show()
diff --git a/examples/api/mathtext_asarray.py b/examples/api/mathtext_asarray.py
deleted file mode 100644
index 8f41cdb35030..000000000000
--- a/examples/api/mathtext_asarray.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Load a mathtext image as numpy array
-"""
-
-import matplotlib.mathtext as mathtext
-import matplotlib.pyplot as plt
-import matplotlib
-matplotlib.rc('image', origin='upper')
-
-parser = mathtext.MathTextParser("Bitmap")
-parser.to_png('test2.png',
-              r'$\left[\left\lfloor\frac{5}{\frac{\left(3\right)}{4}} '
-              r'y\right)\right]$', color='green', fontsize=14, dpi=100)
-
-rgba1, depth1 = parser.to_rgba(
-    r'IQ: $\sigma_i=15$', color='blue', fontsize=20, dpi=200)
-rgba2, depth2 = parser.to_rgba(
-    r'some other string', color='red', fontsize=20, dpi=200)
-
-fig = plt.figure()
-fig.figimage(rgba1.astype(float)/255., 100, 100)
-fig.figimage(rgba2.astype(float)/255., 100, 300)
-
-plt.show()
diff --git a/examples/api/patch_collection.py b/examples/api/patch_collection.py
deleted file mode 100644
index 85a3ab39e6cb..000000000000
--- a/examples/api/patch_collection.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import numpy as np
-import matplotlib
-from matplotlib.patches import Circle, Wedge, Polygon
-from matplotlib.collections import PatchCollection
-import matplotlib.pyplot as plt
-
-
-fig, ax = plt.subplots()
-
-resolution = 50  # the number of vertices
-N = 3
-x = np.random.rand(N)
-y = np.random.rand(N)
-radii = 0.1*np.random.rand(N)
-patches = []
-for x1, y1, r in zip(x, y, radii):
-    circle = Circle((x1, y1), r)
-    patches.append(circle)
-
-x = np.random.rand(N)
-y = np.random.rand(N)
-radii = 0.1*np.random.rand(N)
-theta1 = 360.0*np.random.rand(N)
-theta2 = 360.0*np.random.rand(N)
-for x1, y1, r, t1, t2 in zip(x, y, radii, theta1, theta2):
-    wedge = Wedge((x1, y1), r, t1, t2)
-    patches.append(wedge)
-
-# Some limiting conditions on Wedge
-patches += [
-    Wedge((.3, .7), .1, 0, 360),             # Full circle
-    Wedge((.7, .8), .2, 0, 360, width=0.05),  # Full ring
-    Wedge((.8, .3), .2, 0, 45),              # Full sector
-    Wedge((.8, .3), .2, 45, 90, width=0.10),  # Ring sector
-]
-
-for i in range(N):
-    polygon = Polygon(np.random.rand(N, 2), True)
-    patches.append(polygon)
-
-colors = 100*np.random.rand(len(patches))
-p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
-p.set_array(np.array(colors))
-ax.add_collection(p)
-plt.colorbar(p)
-
-plt.show()
diff --git a/examples/api/power_norm_demo.py b/examples/api/power_norm_demo.py
deleted file mode 100644
index 90fef637311a..000000000000
--- a/examples/api/power_norm_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/python
-
-from matplotlib import pyplot as plt
-import matplotlib.colors as mcolors
-import numpy as np
-from numpy.random import multivariate_normal
-
-data = np.vstack([multivariate_normal([10, 10], [[2, 2], [2, 2]], size=100000),
-                  multivariate_normal([30, 20], [[2, 3], [1, 3]], size=1000)
-                  ])
-
-gammas = [0.8, 0.5, 0.3]
-xgrid = np.floor((len(gammas) + 1.) / 2)
-ygrid = np.ceil((len(gammas) + 1.) / 2)
-
-plt.subplot(xgrid, ygrid, 1)
-plt.title('Linear normalization')
-plt.hist2d(data[:, 0], data[:, 1], bins=100)
-
-for i, gamma in enumerate(gammas):
-    plt.subplot(xgrid, ygrid, i + 2)
-    plt.title('Power law normalization\n$(\gamma=%1.1f)$' % gamma)
-    plt.hist2d(data[:, 0], data[:, 1],
-               bins=100, norm=mcolors.PowerNorm(gamma))
-
-plt.subplots_adjust(hspace=0.39)
-plt.show()
diff --git a/examples/api/quad_bezier.py b/examples/api/quad_bezier.py
deleted file mode 100644
index 0816bb0a8d8e..000000000000
--- a/examples/api/quad_bezier.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import matplotlib.path as mpath
-import matplotlib.patches as mpatches
-import matplotlib.pyplot as plt
-
-Path = mpath.Path
-
-fig, ax = plt.subplots()
-pp1 = mpatches.PathPatch(
-    Path([(0, 0), (1, 0), (1, 1), (0, 0)],
-         [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY]),
-    fc="none", transform=ax.transData)
-
-ax.add_patch(pp1)
-ax.plot([0.75], [0.25], "ro")
-ax.set_title('The red point should be on the path')
-
-plt.show()
diff --git a/examples/api/radar_chart.py b/examples/api/radar_chart.py
deleted file mode 100644
index 7f8d24b1cb76..000000000000
--- a/examples/api/radar_chart.py
+++ /dev/null
@@ -1,196 +0,0 @@
-"""
-Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.
-
-Although this example allows a frame of either 'circle' or 'polygon', polygon
-frames don't have proper gridlines (the lines are circles instead of polygons).
-It's possible to get a polygon grid by setting GRIDLINE_INTERPOLATION_STEPS in
-matplotlib.axis to the desired number of vertices, but the orientation of the
-polygon is not aligned with the radial axes.
-
-.. [1] http://en.wikipedia.org/wiki/Radar_chart
-"""
-import numpy as np
-
-import matplotlib.pyplot as plt
-from matplotlib.path import Path
-from matplotlib.spines import Spine
-from matplotlib.projections.polar import PolarAxes
-from matplotlib.projections import register_projection
-
-
-def radar_factory(num_vars, frame='circle'):
-    """Create a radar chart with `num_vars` axes.
-
-    This function creates a RadarAxes projection and registers it.
-
-    Parameters
-    ----------
-    num_vars : int
-        Number of variables for radar chart.
-    frame : {'circle' | 'polygon'}
-        Shape of frame surrounding axes.
-
-    """
-    # calculate evenly-spaced axis angles
-    theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
-    # rotate theta such that the first axis is at the top
-    theta += np.pi/2
-
-    def draw_poly_patch(self):
-        verts = unit_poly_verts(theta)
-        return plt.Polygon(verts, closed=True, edgecolor='k')
-
-    def draw_circle_patch(self):
-        # unit circle centered on (0.5, 0.5)
-        return plt.Circle((0.5, 0.5), 0.5)
-
-    patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}
-    if frame not in patch_dict:
-        raise ValueError('unknown value for `frame`: %s' % frame)
-
-    class RadarAxes(PolarAxes):
-
-        name = 'radar'
-        # use 1 line segment to connect specified points
-        RESOLUTION = 1
-        # define draw_frame method
-        draw_patch = patch_dict[frame]
-
-        def fill(self, *args, **kwargs):
-            """Override fill so that line is closed by default"""
-            closed = kwargs.pop('closed', True)
-            return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
-
-        def plot(self, *args, **kwargs):
-            """Override plot so that line is closed by default"""
-            lines = super(RadarAxes, self).plot(*args, **kwargs)
-            for line in lines:
-                self._close_line(line)
-
-        def _close_line(self, line):
-            x, y = line.get_data()
-            # FIXME: markers at x[0], y[0] get doubled-up
-            if x[0] != x[-1]:
-                x = np.concatenate((x, [x[0]]))
-                y = np.concatenate((y, [y[0]]))
-                line.set_data(x, y)
-
-        def set_varlabels(self, labels):
-            self.set_thetagrids(theta*180/np.pi, labels)
-
-        def _gen_axes_patch(self):
-            return self.draw_patch()
-
-        def _gen_axes_spines(self):
-            if frame == 'circle':
-                return PolarAxes._gen_axes_spines(self)
-            # The following is a hack to get the spines (i.e. the axes frame)
-            # to draw correctly for a polygon frame.
-
-            # spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.
-            spine_type = 'circle'
-            verts = unit_poly_verts(theta)
-            # close off polygon by repeating first vertex
-            verts.append(verts[0])
-            path = Path(verts)
-
-            spine = Spine(self, spine_type, path)
-            spine.set_transform(self.transAxes)
-            return {'polar': spine}
-
-    register_projection(RadarAxes)
-    return theta
-
-
-def unit_poly_verts(theta):
-    """Return vertices of polygon for subplot axes.
-
-    This polygon is circumscribed by a unit circle centered at (0.5, 0.5)
-    """
-    x0, y0, r = [0.5] * 3
-    verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
-    return verts
-
-
-def example_data():
-    # The following data is from the Denver Aerosol Sources and Health study.
-    # See  doi:10.1016/j.atmosenv.2008.12.017
-    #
-    # The data are pollution source profile estimates for five modeled
-    # pollution sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical
-    # species. The radar charts are experimented with here to see if we can
-    # nicely visualize how the modeled source profiles change across four
-    # scenarios:
-    #  1) No gas-phase species present, just seven particulate counts on
-    #     Sulfate
-    #     Nitrate
-    #     Elemental Carbon (EC)
-    #     Organic Carbon fraction 1 (OC)
-    #     Organic Carbon fraction 2 (OC2)
-    #     Organic Carbon fraction 3 (OC3)
-    #     Pyrolized Organic Carbon (OP)
-    #  2)Inclusion of gas-phase specie carbon monoxide (CO)
-    #  3)Inclusion of gas-phase specie ozone (O3).
-    #  4)Inclusion of both gas-phase speciesis present...
-    data = {
-        'column names':
-            ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO',
-             'O3'],
-        'Basecase':
-            [[0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],
-             [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],
-             [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],
-             [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],
-             [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]],
-        'With CO':
-            [[0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],
-             [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],
-             [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],
-             [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],
-             [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]],
-        'With O3':
-            [[0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],
-             [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],
-             [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],
-             [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],
-             [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]],
-        'CO & O3':
-            [[0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],
-             [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],
-             [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],
-             [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],
-             [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]]}
-    return data
-
-
-if __name__ == '__main__':
-    N = 9
-    theta = radar_factory(N, frame='polygon')
-
-    data = example_data()
-    spoke_labels = data.pop('column names')
-
-    fig = plt.figure(figsize=(9, 9))
-    fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
-
-    colors = ['b', 'r', 'g', 'm', 'y']
-    # Plot the four cases from the example data on separate axes
-    for n, title in enumerate(data.keys()):
-        ax = fig.add_subplot(2, 2, n + 1, projection='radar')
-        plt.rgrids([0.2, 0.4, 0.6, 0.8])
-        ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
-                     horizontalalignment='center', verticalalignment='center')
-        for d, color in zip(data[title], colors):
-            ax.plot(theta, d, color=color)
-            ax.fill(theta, d, facecolor=color, alpha=0.25)
-        ax.set_varlabels(spoke_labels)
-
-    # add legend relative to top-left plot
-    plt.subplot(2, 2, 1)
-    labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
-    legend = plt.legend(labels, loc=(0.9, .95), labelspacing=0.1)
-    plt.setp(legend.get_texts(), fontsize='small')
-
-    plt.figtext(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',
-                ha='center', color='black', weight='bold', size='large')
-    plt.show()
diff --git a/examples/api/sankey_demo_basics.py b/examples/api/sankey_demo_basics.py
deleted file mode 100644
index 842bd5c60bee..000000000000
--- a/examples/api/sankey_demo_basics.py
+++ /dev/null
@@ -1,78 +0,0 @@
-"""Demonstrate the Sankey class by producing three basic diagrams.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-from matplotlib.sankey import Sankey
-
-
-# Example 1 -- Mostly defaults
-# This demonstrates how to create a simple diagram by implicitly calling the
-# Sankey.add() method and by appending finish() to the call to the class.
-Sankey(flows=[0.25, 0.15, 0.60, -0.20, -0.15, -0.05, -0.50, -0.10],
-       labels=['', '', '', 'First', 'Second', 'Third', 'Fourth', 'Fifth'],
-       orientations=[-1, 1, 0, 1, 1, 1, 0, -1]).finish()
-plt.title("The default settings produce a diagram like this.")
-# Notice:
-#   1. Axes weren't provided when Sankey() was instantiated, so they were
-#      created automatically.
-#   2. The scale argument wasn't necessary since the data was already
-#      normalized.
-#   3. By default, the lengths of the paths are justified.
-
-# Example 2
-# This demonstrates:
-#   1. Setting one path longer than the others
-#   2. Placing a label in the middle of the diagram
-#   3. Using the the scale argument to normalize the flows
-#   4. Implicitly passing keyword arguments to PathPatch()
-#   5. Changing the angle of the arrow heads
-#   6. Changing the offset between the tips of the paths and their labels
-#   7. Formatting the numbers in the path labels and the associated unit
-#   8. Changing the appearance of the patch and the labels after the figure is
-#      created
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
-                     title="Flow Diagram of a Widget")
-sankey = Sankey(ax=ax, scale=0.01, offset=0.2, head_angle=180,
-                format='%.0f', unit='%')
-sankey.add(flows=[25, 0, 60, -10, -20, -5, -15, -10, -40],
-           labels=['', '', '', 'First', 'Second', 'Third', 'Fourth',
-                   'Fifth', 'Hurray!'],
-           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0],
-           pathlengths=[0.25, 0.25, 0.25, 0.25, 0.25, 0.6, 0.25, 0.25,
-                        0.25],
-           patchlabel="Widget\nA",
-           alpha=0.2, lw=2.0)  # Arguments to matplotlib.patches.PathPatch()
-diagrams = sankey.finish()
-diagrams[0].patch.set_facecolor('#37c959')
-diagrams[0].texts[-1].set_color('r')
-diagrams[0].text.set_fontweight('bold')
-# Notice:
-#   1. Since the sum of the flows is nonzero, the width of the trunk isn't
-#      uniform.  If verbose.level is helpful (in matplotlibrc), a message is
-#      given in the terminal window.
-#   2. The second flow doesn't appear because its value is zero.  Again, if
-#      verbose.level is helpful, a message is given in the terminal window.
-
-# Example 3
-# This demonstrates:
-#   1. Connecting two systems
-#   2. Turning off the labels of the quantities
-#   3. Adding a legend
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[], title="Two Systems")
-flows = [0.25, 0.15, 0.60, -0.10, -0.05, -0.25, -0.15, -0.10, -0.35]
-sankey = Sankey(ax=ax, unit=None)
-sankey.add(flows=flows, label='one',
-           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0])
-sankey.add(flows=[-0.25, 0.15, 0.1], fc='#37c959', label='two',
-           orientations=[-1, -1, -1], prior=0, connect=(0, 0))
-diagrams = sankey.finish()
-diagrams[-1].patch.set_hatch('/')
-plt.legend(loc='best')
-# Notice that only one connection is specified, but the systems form a
-# circuit since: (1) the lengths of the paths are justified and (2) the
-# orientation and ordering of the flows is mirrored.
-
-plt.show()
diff --git a/examples/api/sankey_demo_links.py b/examples/api/sankey_demo_links.py
deleted file mode 100644
index ed2e755dbf27..000000000000
--- a/examples/api/sankey_demo_links.py
+++ /dev/null
@@ -1,54 +0,0 @@
-"""Demonstrate/test the Sankey class by producing a long chain of connections.
-"""
-
-from itertools import cycle
-
-import matplotlib.pyplot as plt
-from matplotlib.sankey import Sankey
-
-links_per_side = 6
-
-
-def side(sankey, n=1):
-    """Generate a side chain."""
-    prior = len(sankey.diagrams)
-    colors = cycle(['orange', 'b', 'g', 'r', 'c', 'm', 'y'])
-    for i in range(0, 2*n, 2):
-        sankey.add(flows=[1, -1], orientations=[-1, -1],
-                   patchlabel=str(prior + i), facecolor=next(colors),
-                   prior=prior + i - 1, connect=(1, 0), alpha=0.5)
-        sankey.add(flows=[1, -1], orientations=[1, 1],
-                   patchlabel=str(prior + i + 1), facecolor=next(colors),
-                   prior=prior + i, connect=(1, 0), alpha=0.5)
-
-
-def corner(sankey):
-    """Generate a corner link."""
-    prior = len(sankey.diagrams)
-    sankey.add(flows=[1, -1], orientations=[0, 1],
-               patchlabel=str(prior), facecolor='k',
-               prior=prior - 1, connect=(1, 0), alpha=0.5)
-
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
-                     title="Why would you want to do this?\n(But you could.)")
-sankey = Sankey(ax=ax, unit=None)
-sankey.add(flows=[1, -1], orientations=[0, 1],
-           patchlabel="0", facecolor='k',
-           rotation=45)
-side(sankey, n=links_per_side)
-corner(sankey)
-side(sankey, n=links_per_side)
-corner(sankey)
-side(sankey, n=links_per_side)
-corner(sankey)
-side(sankey, n=links_per_side)
-sankey.finish()
-# Notice:
-# 1. The alignment doesn't drift significantly (if at all; with 16007
-#    subdiagrams there is still closure).
-# 2. The first diagram is rotated 45 deg, so all other diagrams are rotated
-#    accordingly.
-
-plt.show()
diff --git a/examples/api/sankey_demo_old.py b/examples/api/sankey_demo_old.py
deleted file mode 100755
index 90494e5a1ff8..000000000000
--- a/examples/api/sankey_demo_old.py
+++ /dev/null
@@ -1,194 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-
-__author__ = "Yannick Copin <ycopin@ipnl.in2p3.fr>"
-__version__ = "Time-stamp: <10/02/2010 16:49 ycopin@lyopc548.in2p3.fr>"
-
-import numpy as np
-
-
-def sankey(ax,
-           outputs=[100.], outlabels=None,
-           inputs=[100.], inlabels='',
-           dx=40, dy=10, outangle=45, w=3, inangle=30, offset=2, **kwargs):
-    """Draw a Sankey diagram.
-
-    outputs: array of outputs, should sum up to 100%
-    outlabels: output labels (same length as outputs),
-    or None (use default labels) or '' (no labels)
-    inputs and inlabels: similar for inputs
-    dx: horizontal elongation
-    dy: vertical elongation
-    outangle: output arrow angle [deg]
-    w: output arrow shoulder
-    inangle: input dip angle
-    offset: text offset
-    **kwargs: propagated to Patch (e.g., fill=False)
-
-    Return (patch,[intexts,outtexts]).
-    """
-    import matplotlib.patches as mpatches
-    from matplotlib.path import Path
-
-    outs = np.absolute(outputs)
-    outsigns = np.sign(outputs)
-    outsigns[-1] = 0  # Last output
-
-    ins = np.absolute(inputs)
-    insigns = np.sign(inputs)
-    insigns[0] = 0  # First input
-
-    assert sum(outs) == 100, "Outputs don't sum up to 100%"
-    assert sum(ins) == 100, "Inputs don't sum up to 100%"
-
-    def add_output(path, loss, sign=1):
-        # Arrow tip height
-        h = (loss/2 + w) * np.tan(outangle/180.*np.pi)
-        move, (x, y) = path[-1]  # Use last point as reference
-        if sign == 0:  # Final loss (horizontal)
-            path.extend([(Path.LINETO, [x + dx, y]),
-                         (Path.LINETO, [x + dx, y + w]),
-                         (Path.LINETO, [x + dx + h, y - loss/2]),  # Tip
-                         (Path.LINETO, [x + dx, y - loss - w]),
-                         (Path.LINETO, [x + dx, y - loss])])
-            outtips.append((sign, path[-3][1]))
-        else:  # Intermediate loss (vertical)
-            path.extend([(Path.CURVE4, [x + dx/2, y]),
-                         (Path.CURVE4, [x + dx, y]),
-                         (Path.CURVE4, [x + dx, y + sign*dy]),
-                         (Path.LINETO, [x + dx - w, y + sign*dy]),
-                         # Tip
-                         (Path.LINETO, [
-                          x + dx + loss/2, y + sign*(dy + h)]),
-                         (Path.LINETO, [x + dx + loss + w, y + sign*dy]),
-                         (Path.LINETO, [x + dx + loss, y + sign*dy]),
-                         (Path.CURVE3, [x + dx + loss, y - sign*loss]),
-                         (Path.CURVE3, [x + dx/2 + loss, y - sign*loss])])
-            outtips.append((sign, path[-5][1]))
-
-    def add_input(path, gain, sign=1):
-        h = (gain / 2) * np.tan(inangle / 180. * np.pi)  # Dip depth
-        move, (x, y) = path[-1]  # Use last point as reference
-        if sign == 0:  # First gain (horizontal)
-            path.extend([(Path.LINETO, [x - dx, y]),
-                         (Path.LINETO, [x - dx + h, y + gain/2]),  # Dip
-                         (Path.LINETO, [x - dx, y + gain])])
-            xd, yd = path[-2][1]  # Dip position
-            indips.append((sign, [xd - h, yd]))
-        else:  # Intermediate gain (vertical)
-            path.extend([(Path.CURVE4, [x - dx/2, y]),
-                         (Path.CURVE4, [x - dx, y]),
-                         (Path.CURVE4, [x - dx, y + sign*dy]),
-                         # Dip
-                         (Path.LINETO, [
-                          x - dx - gain / 2, y + sign*(dy - h)]),
-                         (Path.LINETO, [x - dx - gain, y + sign*dy]),
-                         (Path.CURVE3, [x - dx - gain, y - sign*gain]),
-                         (Path.CURVE3, [x - dx/2 - gain, y - sign*gain])])
-            xd, yd = path[-4][1]  # Dip position
-            indips.append((sign, [xd, yd + sign*h]))
-
-    outtips = []  # Output arrow tip dir. and positions
-    urpath = [(Path.MOVETO, [0, 100])]  # 1st point of upper right path
-    lrpath = [(Path.LINETO, [0, 0])]  # 1st point of lower right path
-    for loss, sign in zip(outs, outsigns):
-        add_output(sign >= 0 and urpath or lrpath, loss, sign=sign)
-
-    indips = []  # Input arrow tip dir. and positions
-    llpath = [(Path.LINETO, [0, 0])]  # 1st point of lower left path
-    ulpath = [(Path.MOVETO, [0, 100])]  # 1st point of upper left path
-    for gain, sign in reversed(list(zip(ins, insigns))):
-        add_input(sign <= 0 and llpath or ulpath, gain, sign=sign)
-
-    def revert(path):
-        """A path is not just revertable by path[::-1] because of Bezier
-        curves."""
-        rpath = []
-        nextmove = Path.LINETO
-        for move, pos in path[::-1]:
-            rpath.append((nextmove, pos))
-            nextmove = move
-        return rpath
-
-    # Concatenate subpathes in correct order
-    path = urpath + revert(lrpath) + llpath + revert(ulpath)
-
-    codes, verts = zip(*path)
-    verts = np.array(verts)
-
-    # Path patch
-    path = Path(verts, codes)
-    patch = mpatches.PathPatch(path, **kwargs)
-    ax.add_patch(patch)
-
-    if False:  # DEBUG
-        print("urpath", urpath)
-        print("lrpath", revert(lrpath))
-        print("llpath", llpath)
-        print("ulpath", revert(ulpath))
-        xs, ys = zip(*verts)
-        ax.plot(xs, ys, 'go-')
-
-    # Labels
-
-    def set_labels(labels, values):
-        """Set or check labels according to values."""
-        if labels == '':  # No labels
-            return labels
-        elif labels is None:  # Default labels
-            return ['%2d%%' % val for val in values]
-        else:
-            assert len(labels) == len(values)
-            return labels
-
-    def put_labels(labels, positions, output=True):
-        """Put labels to positions."""
-        texts = []
-        lbls = output and labels or labels[::-1]
-        for i, label in enumerate(lbls):
-            s, (x, y) = positions[i]  # Label direction and position
-            if s == 0:
-                t = ax.text(x + offset, y, label,
-                            ha=output and 'left' or 'right', va='center')
-            elif s > 0:
-                t = ax.text(x, y + offset, label, ha='center', va='bottom')
-            else:
-                t = ax.text(x, y - offset, label, ha='center', va='top')
-            texts.append(t)
-        return texts
-
-    outlabels = set_labels(outlabels, outs)
-    outtexts = put_labels(outlabels, outtips, output=True)
-
-    inlabels = set_labels(inlabels, ins)
-    intexts = put_labels(inlabels, indips, output=False)
-
-    # Axes management
-    ax.set_xlim(verts[:, 0].min() - dx, verts[:, 0].max() + dx)
-    ax.set_ylim(verts[:, 1].min() - dy, verts[:, 1].max() + dy)
-    ax.set_aspect('equal', adjustable='datalim')
-
-    return patch, [intexts, outtexts]
-
-
-if __name__ == '__main__':
-
-    import matplotlib.pyplot as plt
-
-    outputs = [10., -20., 5., 15., -10., 40.]
-    outlabels = ['First', 'Second', 'Third', 'Fourth', 'Fifth', 'Hurray!']
-    outlabels = [s + '\n%d%%' % abs(l) for l, s in zip(outputs, outlabels)]
-
-    inputs = [60., -25., 15.]
-
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[], title="Sankey diagram")
-
-    patch, (intexts, outtexts) = sankey(ax, outputs=outputs,
-                                        outlabels=outlabels, inputs=inputs,
-                                        inlabels=None, fc='g', alpha=0.2)
-    outtexts[1].set_color('r')
-    outtexts[-1].set_fontweight('bold')
-
-    plt.show()
diff --git a/examples/api/sankey_demo_rankine.py b/examples/api/sankey_demo_rankine.py
deleted file mode 100644
index ccf1ccc4a1c9..000000000000
--- a/examples/api/sankey_demo_rankine.py
+++ /dev/null
@@ -1,79 +0,0 @@
-"""Demonstrate the Sankey class with a practicle example of a Rankine power
-cycle.
-
-"""
-import matplotlib.pyplot as plt
-
-from matplotlib.sankey import Sankey
-
-fig = plt.figure(figsize=(8, 9))
-ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
-                     title="Rankine Power Cycle: Example 8.6 from Moran and "
-                     "Shapiro\n\x22Fundamentals of Engineering Thermodynamics "
-                     "\x22, 6th ed., 2008")
-Hdot = [260.431, 35.078, 180.794, 221.115, 22.700,
-        142.361, 10.193, 10.210, 43.670, 44.312,
-        68.631, 10.758, 10.758, 0.017, 0.642,
-        232.121, 44.559, 100.613, 132.168]  # MW
-sankey = Sankey(ax=ax, format='%.3G', unit=' MW', gap=0.5, scale=1.0/Hdot[0])
-sankey.add(patchlabel='\n\nPump 1', rotation=90, facecolor='#37c959',
-           flows=[Hdot[13], Hdot[6], -Hdot[7]],
-           labels=['Shaft power', '', None],
-           pathlengths=[0.4, 0.883, 0.25],
-           orientations=[1, -1, 0])
-sankey.add(patchlabel='\n\nOpen\nheater', facecolor='#37c959',
-           flows=[Hdot[11], Hdot[7], Hdot[4], -Hdot[8]],
-           labels=[None, '', None, None],
-           pathlengths=[0.25, 0.25, 1.93, 0.25],
-           orientations=[1, 0, -1, 0], prior=0, connect=(2, 1))
-sankey.add(patchlabel='\n\nPump 2', facecolor='#37c959',
-           flows=[Hdot[14], Hdot[8], -Hdot[9]],
-           labels=['Shaft power', '', None],
-           pathlengths=[0.4, 0.25, 0.25],
-           orientations=[1, 0, 0], prior=1, connect=(3, 1))
-sankey.add(patchlabel='Closed\nheater', trunklength=2.914, fc='#37c959',
-           flows=[Hdot[9], Hdot[1], -Hdot[11], -Hdot[10]],
-           pathlengths=[0.25, 1.543, 0.25, 0.25],
-           labels=['', '', None, None],
-           orientations=[0, -1, 1, -1], prior=2, connect=(2, 0))
-sankey.add(patchlabel='Trap', facecolor='#37c959', trunklength=5.102,
-           flows=[Hdot[11], -Hdot[12]],
-           labels=['\n', None],
-           pathlengths=[1.0, 1.01],
-           orientations=[1, 1], prior=3, connect=(2, 0))
-sankey.add(patchlabel='Steam\ngenerator', facecolor='#ff5555',
-           flows=[Hdot[15], Hdot[10], Hdot[2], -Hdot[3], -Hdot[0]],
-           labels=['Heat rate', '', '', None, None],
-           pathlengths=0.25,
-           orientations=[1, 0, -1, -1, -1], prior=3, connect=(3, 1))
-sankey.add(patchlabel='\n\n\nTurbine 1', facecolor='#37c959',
-           flows=[Hdot[0], -Hdot[16], -Hdot[1], -Hdot[2]],
-           labels=['', None, None, None],
-           pathlengths=[0.25, 0.153, 1.543, 0.25],
-           orientations=[0, 1, -1, -1], prior=5, connect=(4, 0))
-sankey.add(patchlabel='\n\n\nReheat', facecolor='#37c959',
-           flows=[Hdot[2], -Hdot[2]],
-           labels=[None, None],
-           pathlengths=[0.725, 0.25],
-           orientations=[-1, 0], prior=6, connect=(3, 0))
-sankey.add(patchlabel='Turbine 2', trunklength=3.212, facecolor='#37c959',
-           flows=[Hdot[3], Hdot[16], -Hdot[5], -Hdot[4], -Hdot[17]],
-           labels=[None, 'Shaft power', None, '', 'Shaft power'],
-           pathlengths=[0.751, 0.15, 0.25, 1.93, 0.25],
-           orientations=[0, -1, 0, -1, 1], prior=6, connect=(1, 1))
-sankey.add(patchlabel='Condenser', facecolor='#58b1fa', trunklength=1.764,
-           flows=[Hdot[5], -Hdot[18], -Hdot[6]],
-           labels=['', 'Heat rate', None],
-           pathlengths=[0.45, 0.25, 0.883],
-           orientations=[-1, 1, 0], prior=8, connect=(2, 0))
-diagrams = sankey.finish()
-for diagram in diagrams:
-    diagram.text.set_fontweight('bold')
-    diagram.text.set_fontsize('10')
-    for text in diagram.texts:
-        text.set_fontsize('10')
-# Notice that the explicit connections are handled automatically, but the
-# implicit ones currently are not.  The lengths of the paths and the trunks
-# must be adjusted manually, and that is a bit tricky.
-
-plt.show()
diff --git a/examples/api/scatter_piecharts.py b/examples/api/scatter_piecharts.py
deleted file mode 100644
index 2c02294ff166..000000000000
--- a/examples/api/scatter_piecharts.py
+++ /dev/null
@@ -1,46 +0,0 @@
-"""
-This example makes custom 'pie charts' as the markers for a scatter plotqu
-
-Thanks to Manuel Metz for the example
-"""
-import math
-import numpy as np
-import matplotlib.pyplot as plt
-
-# first define the ratios
-r1 = 0.2       # 20%
-r2 = r1 + 0.4  # 40%
-
-# define some sizes of the scatter marker
-sizes = [60, 80, 120]
-
-# calculate the points of the first pie marker
-#
-# these are just the origin (0,0) +
-# some points on a circle cos,sin
-x = [0] + np.cos(np.linspace(0, 2*math.pi*r1, 10)).tolist()
-y = [0] + np.sin(np.linspace(0, 2*math.pi*r1, 10)).tolist()
-
-xy1 = list(zip(x, y))
-s1 = max(max(x), max(y))
-
-# ...
-x = [0] + np.cos(np.linspace(2*math.pi*r1, 2*math.pi*r2, 10)).tolist()
-y = [0] + np.sin(np.linspace(2*math.pi*r1, 2*math.pi*r2, 10)).tolist()
-xy2 = list(zip(x, y))
-s2 = max(max(x), max(y))
-
-x = [0] + np.cos(np.linspace(2*math.pi*r2, 2*math.pi, 10)).tolist()
-y = [0] + np.sin(np.linspace(2*math.pi*r2, 2*math.pi, 10)).tolist()
-xy3 = list(zip(x, y))
-s3 = max(max(x), max(y))
-
-fig, ax = plt.subplots()
-ax.scatter(np.arange(3), np.arange(3), marker=(xy1, 0),
-           s=[s1*s1*_ for _ in sizes], facecolor='blue')
-ax.scatter(np.arange(3), np.arange(3), marker=(xy2, 0),
-           s=[s2*s2*_ for _ in sizes], facecolor='green')
-ax.scatter(np.arange(3), np.arange(3), marker=(xy3, 0),
-           s=[s3*s3*_ for _ in sizes], facecolor='red')
-
-plt.show()
diff --git a/examples/api/skewt.py b/examples/api/skewt.py
deleted file mode 100644
index ce9e23fef157..000000000000
--- a/examples/api/skewt.py
+++ /dev/null
@@ -1,255 +0,0 @@
-# This serves as an intensive exercise of matplotlib's transforms
-# and custom projection API. This example produces a so-called
-# SkewT-logP diagram, which is a common plot in meteorology for
-# displaying vertical profiles of temperature. As far as matplotlib is
-# concerned, the complexity comes from having X and Y axes that are
-# not orthogonal. This is handled by including a skew component to the
-# basic Axes transforms. Additional complexity comes in handling the
-# fact that the upper and lower X-axes have different data ranges, which
-# necessitates a bunch of custom classes for ticks,spines, and the axis
-# to handle this.
-
-from matplotlib.axes import Axes
-import matplotlib.transforms as transforms
-import matplotlib.axis as maxis
-import matplotlib.spines as mspines
-import matplotlib.path as mpath
-from matplotlib.projections import register_projection
-
-# The sole purpose of this class is to look at the upper, lower, or total
-# interval as appropriate and see what parts of the tick to draw, if any.
-
-
-class SkewXTick(maxis.XTick):
-    def draw(self, renderer):
-        if not self.get_visible():
-            return
-        renderer.open_group(self.__name__)
-
-        lower_interval = self.axes.xaxis.lower_interval
-        upper_interval = self.axes.xaxis.upper_interval
-
-        if self.gridOn and transforms.interval_contains(
-                self.axes.xaxis.get_view_interval(), self.get_loc()):
-            self.gridline.draw(renderer)
-
-        if transforms.interval_contains(lower_interval, self.get_loc()):
-            if self.tick1On:
-                self.tick1line.draw(renderer)
-            if self.label1On:
-                self.label1.draw(renderer)
-
-        if transforms.interval_contains(upper_interval, self.get_loc()):
-            if self.tick2On:
-                self.tick2line.draw(renderer)
-            if self.label2On:
-                self.label2.draw(renderer)
-
-        renderer.close_group(self.__name__)
-
-
-# This class exists to provide two separate sets of intervals to the tick,
-# as well as create instances of the custom tick
-class SkewXAxis(maxis.XAxis):
-    def __init__(self, *args, **kwargs):
-        maxis.XAxis.__init__(self, *args, **kwargs)
-        self.upper_interval = 0.0, 1.0
-
-    def _get_tick(self, major):
-        return SkewXTick(self.axes, 0, '', major=major)
-
-    @property
-    def lower_interval(self):
-        return self.axes.viewLim.intervalx
-
-    def get_view_interval(self):
-        return self.upper_interval[0], self.axes.viewLim.intervalx[1]
-
-
-# This class exists to calculate the separate data range of the
-# upper X-axis and draw the spine there. It also provides this range
-# to the X-axis artist for ticking and gridlines
-class SkewSpine(mspines.Spine):
-    def _adjust_location(self):
-        trans = self.axes.transDataToAxes.inverted()
-        if self.spine_type == 'top':
-            yloc = 1.0
-        else:
-            yloc = 0.0
-        left = trans.transform_point((0.0, yloc))[0]
-        right = trans.transform_point((1.0, yloc))[0]
-
-        pts = self._path.vertices
-        pts[0, 0] = left
-        pts[1, 0] = right
-        self.axis.upper_interval = (left, right)
-
-
-# This class handles registration of the skew-xaxes as a projection as well
-# as setting up the appropriate transformations. It also overrides standard
-# spines and axes instances as appropriate.
-class SkewXAxes(Axes):
-    # The projection must specify a name.  This will be used be the
-    # user to select the projection, i.e. ``subplot(111,
-    # projection='skewx')``.
-    name = 'skewx'
-
-    def _init_axis(self):
-        # Taken from Axes and modified to use our modified X-axis
-        self.xaxis = SkewXAxis(self)
-        self.spines['top'].register_axis(self.xaxis)
-        self.spines['bottom'].register_axis(self.xaxis)
-        self.yaxis = maxis.YAxis(self)
-        self.spines['left'].register_axis(self.yaxis)
-        self.spines['right'].register_axis(self.yaxis)
-
-    def _gen_axes_spines(self):
-        spines = {'top': SkewSpine.linear_spine(self, 'top'),
-                  'bottom': mspines.Spine.linear_spine(self, 'bottom'),
-                  'left': mspines.Spine.linear_spine(self, 'left'),
-                  'right': mspines.Spine.linear_spine(self, 'right')}
-        return spines
-
-    def _set_lim_and_transforms(self):
-        """
-        This is called once when the plot is created to set up all the
-        transforms for the data, text and grids.
-        """
-        rot = 30
-
-        # Get the standard transform setup from the Axes base class
-        Axes._set_lim_and_transforms(self)
-
-        # Need to put the skew in the middle, after the scale and limits,
-        # but before the transAxes. This way, the skew is done in Axes
-        # coordinates thus performing the transform around the proper origin
-        # We keep the pre-transAxes transform around for other users, like the
-        # spines for finding bounds
-        self.transDataToAxes = self.transScale + \
-            self.transLimits + transforms.Affine2D().skew_deg(rot, 0)
-
-        # Create the full transform from Data to Pixels
-        self.transData = self.transDataToAxes + self.transAxes
-
-        # Blended transforms like this need to have the skewing applied using
-        # both axes, in axes coords like before.
-        self._xaxis_transform = (transforms.blended_transform_factory(
-            self.transScale + self.transLimits,
-            transforms.IdentityTransform()) +
-            transforms.Affine2D().skew_deg(rot, 0)) + self.transAxes
-
-# Now register the projection with matplotlib so the user can select
-# it.
-register_projection(SkewXAxes)
-
-if __name__ == '__main__':
-    # Now make a simple example using the custom projection.
-    from matplotlib.ticker import ScalarFormatter, MultipleLocator
-    import matplotlib.pyplot as plt
-    from StringIO import StringIO
-    import numpy as np
-
-    # Some examples data
-    data_txt = '''
-  978.0    345    7.8    0.8     61   4.16    325     14  282.7  294.6  283.4
-  971.0    404    7.2    0.2     61   4.01    327     17  282.7  294.2  283.4
-  946.7    610    5.2   -1.8     61   3.56    335     26  282.8  293.0  283.4
-  944.0    634    5.0   -2.0     61   3.51    336     27  282.8  292.9  283.4
-  925.0    798    3.4   -2.6     65   3.43    340     32  282.8  292.7  283.4
-  911.8    914    2.4   -2.7     69   3.46    345     37  282.9  292.9  283.5
-  906.0    966    2.0   -2.7     71   3.47    348     39  283.0  293.0  283.6
-  877.9   1219    0.4   -3.2     77   3.46      0     48  283.9  293.9  284.5
-  850.0   1478   -1.3   -3.7     84   3.44      0     47  284.8  294.8  285.4
-  841.0   1563   -1.9   -3.8     87   3.45    358     45  285.0  295.0  285.6
-  823.0   1736    1.4   -0.7     86   4.44    353     42  290.3  303.3  291.0
-  813.6   1829    4.5    1.2     80   5.17    350     40  294.5  309.8  295.4
-  809.0   1875    6.0    2.2     77   5.57    347     39  296.6  313.2  297.6
-  798.0   1988    7.4   -0.6     57   4.61    340     35  299.2  313.3  300.1
-  791.0   2061    7.6   -1.4     53   4.39    335     33  300.2  313.6  301.0
-  783.9   2134    7.0   -1.7     54   4.32    330     31  300.4  313.6  301.2
-  755.1   2438    4.8   -3.1     57   4.06    300     24  301.2  313.7  301.9
-  727.3   2743    2.5   -4.4     60   3.81    285     29  301.9  313.8  302.6
-  700.5   3048    0.2   -5.8     64   3.57    275     31  302.7  313.8  303.3
-  700.0   3054    0.2   -5.8     64   3.56    280     31  302.7  313.8  303.3
-  698.0   3077    0.0   -6.0     64   3.52    280     31  302.7  313.7  303.4
-  687.0   3204   -0.1   -7.1     59   3.28    281     31  304.0  314.3  304.6
-  648.9   3658   -3.2  -10.9     55   2.59    285     30  305.5  313.8  305.9
-  631.0   3881   -4.7  -12.7     54   2.29    289     33  306.2  313.6  306.6
-  600.7   4267   -6.4  -16.7     44   1.73    295     39  308.6  314.3  308.9
-  592.0   4381   -6.9  -17.9     41   1.59    297     41  309.3  314.6  309.6
-  577.6   4572   -8.1  -19.6     39   1.41    300     44  310.1  314.9  310.3
-  555.3   4877  -10.0  -22.3     36   1.16    295     39  311.3  315.3  311.5
-  536.0   5151  -11.7  -24.7     33   0.97    304     39  312.4  315.8  312.6
-  533.8   5182  -11.9  -25.0     33   0.95    305     39  312.5  315.8  312.7
-  500.0   5680  -15.9  -29.9     29   0.64    290     44  313.6  315.9  313.7
-  472.3   6096  -19.7  -33.4     28   0.49    285     46  314.1  315.8  314.1
-  453.0   6401  -22.4  -36.0     28   0.39    300     50  314.4  315.8  314.4
-  400.0   7310  -30.7  -43.7     27   0.20    285     44  315.0  315.8  315.0
-  399.7   7315  -30.8  -43.8     27   0.20    285     44  315.0  315.8  315.0
-  387.0   7543  -33.1  -46.1     26   0.16    281     47  314.9  315.5  314.9
-  382.7   7620  -33.8  -46.8     26   0.15    280     48  315.0  315.6  315.0
-  342.0   8398  -40.5  -53.5     23   0.08    293     52  316.1  316.4  316.1
-  320.4   8839  -43.7  -56.7     22   0.06    300     54  317.6  317.8  317.6
-  318.0   8890  -44.1  -57.1     22   0.05    301     55  317.8  318.0  317.8
-  310.0   9060  -44.7  -58.7     19   0.04    304     61  319.2  319.4  319.2
-  306.1   9144  -43.9  -57.9     20   0.05    305     63  321.5  321.7  321.5
-  305.0   9169  -43.7  -57.7     20   0.05    303     63  322.1  322.4  322.1
-  300.0   9280  -43.5  -57.5     20   0.05    295     64  323.9  324.2  323.9
-  292.0   9462  -43.7  -58.7     17   0.05    293     67  326.2  326.4  326.2
-  276.0   9838  -47.1  -62.1     16   0.03    290     74  326.6  326.7  326.6
-  264.0  10132  -47.5  -62.5     16   0.03    288     79  330.1  330.3  330.1
-  251.0  10464  -49.7  -64.7     16   0.03    285     85  331.7  331.8  331.7
-  250.0  10490  -49.7  -64.7     16   0.03    285     85  332.1  332.2  332.1
-  247.0  10569  -48.7  -63.7     16   0.03    283     88  334.7  334.8  334.7
-  244.0  10649  -48.9  -63.9     16   0.03    280     91  335.6  335.7  335.6
-  243.3  10668  -48.9  -63.9     16   0.03    280     91  335.8  335.9  335.8
-  220.0  11327  -50.3  -65.3     15   0.03    280     85  343.5  343.6  343.5
-  212.0  11569  -50.5  -65.5     15   0.03    280     83  346.8  346.9  346.8
-  210.0  11631  -49.7  -64.7     16   0.03    280     83  349.0  349.1  349.0
-  200.0  11950  -49.9  -64.9     15   0.03    280     80  353.6  353.7  353.6
-  194.0  12149  -49.9  -64.9     15   0.03    279     78  356.7  356.8  356.7
-  183.0  12529  -51.3  -66.3     15   0.03    278     75  360.4  360.5  360.4
-  164.0  13233  -55.3  -68.3     18   0.02    277     69  365.2  365.3  365.2
-  152.0  13716  -56.5  -69.5     18   0.02    275     65  371.1  371.2  371.1
-  150.0  13800  -57.1  -70.1     18   0.02    275     64  371.5  371.6  371.5
-  136.0  14414  -60.5  -72.5     19   0.02    268     54  376.0  376.1  376.0
-  132.0  14600  -60.1  -72.1     19   0.02    265     51  380.0  380.1  380.0
-  131.4  14630  -60.2  -72.2     19   0.02    265     51  380.3  380.4  380.3
-  128.0  14792  -60.9  -72.9     19   0.02    266     50  381.9  382.0  381.9
-  125.0  14939  -60.1  -72.1     19   0.02    268     49  385.9  386.0  385.9
-  119.0  15240  -62.2  -73.8     20   0.01    270     48  387.4  387.5  387.4
-  112.0  15616  -64.9  -75.9     21   0.01    265     53  389.3  389.3  389.3
-  108.0  15838  -64.1  -75.1     21   0.01    265     58  394.8  394.9  394.8
-  107.8  15850  -64.1  -75.1     21   0.01    265     58  395.0  395.1  395.0
-  105.0  16010  -64.7  -75.7     21   0.01    272     50  396.9  396.9  396.9
-  103.0  16128  -62.9  -73.9     21   0.02    277     45  402.5  402.6  402.5
-  100.0  16310  -62.5  -73.5     21   0.02    285     36  406.7  406.8  406.7
-    '''
-
-    # Parse the data
-    sound_data = StringIO(data_txt)
-    p, h, T, Td = np.loadtxt(sound_data, usecols=range(0, 4), unpack=True)
-
-    # Create a new figure. The dimensions here give a good aspect ratio
-    fig = plt.figure(figsize=(6.5875, 6.2125))
-    ax = fig.add_subplot(111, projection='skewx')
-
-    plt.grid(True)
-
-    # Plot the data using normal plotting functions, in this case using
-    # log scaling in Y, as dicatated by the typical meteorological plot
-    ax.semilogy(T, p, 'r')
-    ax.semilogy(Td, p, 'g')
-
-    # An example of a slanted line at constant X
-    l = ax.axvline(0, color='b')
-
-    # Disables the log-formatting that comes with semilogy
-    ax.yaxis.set_major_formatter(ScalarFormatter())
-    ax.set_yticks(np.linspace(100, 1000, 10))
-    ax.set_ylim(1050, 100)
-
-    ax.xaxis.set_major_locator(MultipleLocator(10))
-    ax.set_xlim(-50, 50)
-
-    plt.show()
diff --git a/examples/api/span_regions.py b/examples/api/span_regions.py
deleted file mode 100644
index bf23ffb07379..000000000000
--- a/examples/api/span_regions.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""
-Illustrate some helper functions for shading regions where a logical
-mask is True
-
-See :meth:`matplotlib.collections.BrokenBarHCollection.span_where`
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.collections as collections
-
-
-t = np.arange(0.0, 2, 0.01)
-s1 = np.sin(2*np.pi*t)
-s2 = 1.2*np.sin(4*np.pi*t)
-
-
-fig, ax = plt.subplots()
-ax.set_title('using span_where')
-ax.plot(t, s1, color='black')
-ax.axhline(0, color='black', lw=2)
-
-collection = collections.BrokenBarHCollection.span_where(
-    t, ymin=0, ymax=1, where=s1 > 0, facecolor='green', alpha=0.5)
-ax.add_collection(collection)
-
-collection = collections.BrokenBarHCollection.span_where(
-    t, ymin=-1, ymax=0, where=s1 < 0, facecolor='red', alpha=0.5)
-ax.add_collection(collection)
-
-
-plt.show()
diff --git a/examples/api/two_scales.py b/examples/api/two_scales.py
deleted file mode 100644
index 5ff253d44954..000000000000
--- a/examples/api/two_scales.py
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env python
-"""
-
-Demonstrate how to do two plots on the same axes with different left
-right scales.
-
-
-The trick is to use *2 different axes*.  Turn the axes rectangular
-frame off on the 2nd axes to keep it from obscuring the first.
-Manually set the tick locs and labels as desired.  You can use
-separate matplotlib.ticker formatters and locators as desired since
-the two axes are independent.
-
-This is achieved in the following example by calling the Axes.twinx()
-method, which performs this work. See the source of twinx() in
-axes.py for an example of how to do it for different x scales. (Hint:
-use the xaxis instance and call tick_bottom and tick_top in place of
-tick_left and tick_right.)
-
-The twinx and twiny methods are also exposed as pyplot functions.
-
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig, ax1 = plt.subplots()
-t = np.arange(0.01, 10.0, 0.01)
-s1 = np.exp(t)
-ax1.plot(t, s1, 'b-')
-ax1.set_xlabel('time (s)')
-# Make the y-axis label and tick labels match the line color.
-ax1.set_ylabel('exp', color='b')
-for tl in ax1.get_yticklabels():
-    tl.set_color('b')
-
-
-ax2 = ax1.twinx()
-s2 = np.sin(2*np.pi*t)
-ax2.plot(t, s2, 'r.')
-ax2.set_ylabel('sin', color='r')
-for tl in ax2.get_yticklabels():
-    tl.set_color('r')
-plt.show()
diff --git a/examples/api/unicode_minus.py b/examples/api/unicode_minus.py
deleted file mode 100644
index d84fb04f5b03..000000000000
--- a/examples/api/unicode_minus.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-You can use the proper typesetting unicode minus (see
-http://en.wikipedia.org/wiki/Plus_sign#Plus_sign) or the ASCII hypen
-for minus, which some people prefer.  The matplotlibrc param
-axes.unicode_minus controls the default behavior.
-
-The default is to use the unicode minus
-"""
-import numpy as np
-import matplotlib
-import matplotlib.pyplot as plt
-
-matplotlib.rcParams['axes.unicode_minus'] = False
-fig, ax = plt.subplots()
-ax.plot(10*np.random.randn(100), 10*np.random.randn(100), 'o')
-ax.set_title('Using hypen instead of unicode minus')
-plt.show()
diff --git a/examples/api/watermark_image.py b/examples/api/watermark_image.py
deleted file mode 100644
index f47c32058c70..000000000000
--- a/examples/api/watermark_image.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-Use a PNG file as a watermark
-"""
-from __future__ import print_function
-import numpy as np
-import matplotlib.cbook as cbook
-import matplotlib.image as image
-import matplotlib.pyplot as plt
-
-datafile = cbook.get_sample_data('logo2.png', asfileobj=False)
-print('loading %s' % datafile)
-im = image.imread(datafile)
-im[:, :, -1] = 0.5  # set the alpha channel
-
-fig, ax = plt.subplots()
-
-ax.plot(np.random.rand(20), '-o', ms=20, lw=2, alpha=0.7, mfc='orange')
-ax.grid()
-fig.figimage(im, 10, 10)
-
-plt.show()
diff --git a/examples/api/watermark_text.py b/examples/api/watermark_text.py
deleted file mode 100644
index 0d09141050a9..000000000000
--- a/examples/api/watermark_text.py
+++ /dev/null
@@ -1,19 +0,0 @@
-"""
-Use a Text as a watermark
-"""
-import numpy as np
-#import matplotlib
-#matplotlib.use('Agg')
-
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-ax.plot(np.random.rand(20), '-o', ms=20, lw=2, alpha=0.7, mfc='orange')
-ax.grid()
-
-# position bottom right
-fig.text(0.95, 0.05, 'Property of MPL',
-         fontsize=50, color='gray',
-         ha='right', va='bottom', alpha=0.5)
-
-plt.show()
diff --git a/examples/axes_grid/demo_axes_divider.py b/examples/axes_grid/demo_axes_divider.py
deleted file mode 100644
index d69b1d745dc2..000000000000
--- a/examples/axes_grid/demo_axes_divider.py
+++ /dev/null
@@ -1,128 +0,0 @@
-import matplotlib.pyplot as plt
-
-
-def get_demo_image():
-    import numpy as np
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-
-def demo_simple_image(ax):
-    Z, extent = get_demo_image()
-
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
-    cb = plt.colorbar(im)
-    plt.setp(cb.ax.get_yticklabels(), visible=False)
-
-
-def demo_locatable_axes_hard(fig1):
-
-    from mpl_toolkits.axes_grid1 \
-        import SubplotDivider, LocatableAxes, Size
-
-    divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
-
-    # axes for image
-    ax = LocatableAxes(fig1, divider.get_position())
-
-    # axes for colorbar
-    ax_cb = LocatableAxes(fig1, divider.get_position())
-
-    h = [Size.AxesX(ax),  # main axes
-         Size.Fixed(0.05),  # padding, 0.1 inch
-         Size.Fixed(0.2),  # colorbar, 0.3 inch
-         ]
-
-    v = [Size.AxesY(ax)]
-
-    divider.set_horizontal(h)
-    divider.set_vertical(v)
-
-    ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
-    ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
-
-    fig1.add_axes(ax)
-    fig1.add_axes(ax_cb)
-
-    ax_cb.axis["left"].toggle(all=False)
-    ax_cb.axis["right"].toggle(ticks=True)
-
-    Z, extent = get_demo_image()
-
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
-    plt.colorbar(im, cax=ax_cb)
-    plt.setp(ax_cb.get_yticklabels(), visible=False)
-
-
-def demo_locatable_axes_easy(ax):
-    from mpl_toolkits.axes_grid1 import make_axes_locatable
-
-    divider = make_axes_locatable(ax)
-
-    ax_cb = divider.new_horizontal(size="5%", pad=0.05)
-    fig1 = ax.get_figure()
-    fig1.add_axes(ax_cb)
-
-    Z, extent = get_demo_image()
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
-
-    plt.colorbar(im, cax=ax_cb)
-    ax_cb.yaxis.tick_right()
-    for tl in ax_cb.get_yticklabels():
-        tl.set_visible(False)
-    ax_cb.yaxis.tick_right()
-
-
-def demo_images_side_by_side(ax):
-    from mpl_toolkits.axes_grid1 import make_axes_locatable
-
-    divider = make_axes_locatable(ax)
-
-    Z, extent = get_demo_image()
-    ax2 = divider.new_horizontal(size="100%", pad=0.05)
-    fig1 = ax.get_figure()
-    fig1.add_axes(ax2)
-
-    ax.imshow(Z, extent=extent, interpolation="nearest")
-    ax2.imshow(Z, extent=extent, interpolation="nearest")
-    for tl in ax2.get_yticklabels():
-        tl.set_visible(False)
-
-
-def demo():
-
-    fig1 = plt.figure(1, (6, 6))
-    fig1.clf()
-
-    # PLOT 1
-    # simple image & colorbar
-    ax = fig1.add_subplot(2, 2, 1)
-    demo_simple_image(ax)
-
-    # PLOT 2
-    # image and colorbar whose location is adjusted in the drawing time.
-    # a hard way
-
-    demo_locatable_axes_hard(fig1)
-
-    # PLOT 3
-    # image and colorbar whose location is adjusted in the drawing time.
-    # a easy way
-
-    ax = fig1.add_subplot(2, 2, 3)
-    demo_locatable_axes_easy(ax)
-
-    # PLOT 4
-    # two images side by side with fixed padding.
-
-    ax = fig1.add_subplot(2, 2, 4)
-    demo_images_side_by_side(ax)
-
-    plt.draw()
-    plt.show()
-
-
-demo()
diff --git a/examples/axes_grid/demo_axes_grid.py b/examples/axes_grid/demo_axes_grid.py
deleted file mode 100644
index 11683228f3b3..000000000000
--- a/examples/axes_grid/demo_axes_grid.py
+++ /dev/null
@@ -1,133 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import AxesGrid
-
-
-def get_demo_image():
-    import numpy as np
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-
-def demo_simple_grid(fig):
-    """
-    A grid of 2x2 images with 0.05 inch pad between images and only
-    the lower-left axes is labeled.
-    """
-    grid = AxesGrid(fig, 141,  # similar to subplot(141)
-                    nrows_ncols=(2, 2),
-                    axes_pad=0.05,
-                    label_mode="1",
-                    )
-
-    Z, extent = get_demo_image()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-
-    # This only affects axes in first column and second row as share_all =
-    # False.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-def demo_grid_with_single_cbar(fig):
-    """
-    A grid of 2x2 images with a single colorbar
-    """
-    grid = AxesGrid(fig, 142,  # similar to subplot(142)
-                    nrows_ncols=(2, 2),
-                    axes_pad=0.0,
-                    share_all=True,
-                    label_mode="L",
-                    cbar_location="top",
-                    cbar_mode="single",
-                    )
-
-    Z, extent = get_demo_image()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-    #plt.colorbar(im, cax = grid.cbar_axes[0])
-    grid.cbar_axes[0].colorbar(im)
-
-    for cax in grid.cbar_axes:
-        cax.toggle_label(False)
-
-    # This affects all axes as share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-def demo_grid_with_each_cbar(fig):
-    """
-    A grid of 2x2 images. Each image has its own colorbar.
-    """
-
-    grid = AxesGrid(F, 143,  # similar to subplot(143)
-                    nrows_ncols=(2, 2),
-                    axes_pad=0.1,
-                    label_mode="1",
-                    share_all=True,
-                    cbar_location="top",
-                    cbar_mode="each",
-                    cbar_size="7%",
-                    cbar_pad="2%",
-                    )
-    Z, extent = get_demo_image()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-        grid.cbar_axes[i].colorbar(im)
-
-    for cax in grid.cbar_axes:
-        cax.toggle_label(False)
-
-    # This affects all axes because we set share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-def demo_grid_with_each_cbar_labelled(fig):
-    """
-    A grid of 2x2 images. Each image has its own colorbar.
-    """
-
-    grid = AxesGrid(F, 144,  # similar to subplot(144)
-                    nrows_ncols=(2, 2),
-                    axes_pad=(0.45, 0.15),
-                    label_mode="1",
-                    share_all=True,
-                    cbar_location="right",
-                    cbar_mode="each",
-                    cbar_size="7%",
-                    cbar_pad="2%",
-                    )
-    Z, extent = get_demo_image()
-
-    # Use a different colorbar range every time
-    limits = ((0, 1), (-2, 2), (-1.7, 1.4), (-1.5, 1))
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
-                            vmin=limits[i][0], vmax=limits[i][1])
-        grid.cbar_axes[i].colorbar(im)
-
-    for i, cax in enumerate(grid.cbar_axes):
-        cax.set_yticks((limits[i][0], limits[i][1]))
-
-    # This affects all axes because we set share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-if 1:
-    F = plt.figure(1, (10.5, 2.5))
-
-    F.subplots_adjust(left=0.05, right=0.95)
-
-    demo_simple_grid(F)
-    demo_grid_with_single_cbar(F)
-    demo_grid_with_each_cbar(F)
-    demo_grid_with_each_cbar_labelled(F)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/axes_grid/demo_axes_grid2.py b/examples/axes_grid/demo_axes_grid2.py
deleted file mode 100644
index 029a812b1cc6..000000000000
--- a/examples/axes_grid/demo_axes_grid2.py
+++ /dev/null
@@ -1,113 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import ImageGrid
-import numpy as np
-
-
-def get_demo_image():
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-
-def add_inner_title(ax, title, loc, size=None, **kwargs):
-    from matplotlib.offsetbox import AnchoredText
-    from matplotlib.patheffects import withStroke
-    if size is None:
-        size = dict(size=plt.rcParams['legend.fontsize'])
-    at = AnchoredText(title, loc=loc, prop=size,
-                      pad=0., borderpad=0.5,
-                      frameon=False, **kwargs)
-    ax.add_artist(at)
-    at.txt._text.set_path_effects([withStroke(foreground="w", linewidth=3)])
-    return at
-
-if 1:
-    F = plt.figure(1, (6, 6))
-    F.clf()
-
-    # prepare images
-    Z, extent = get_demo_image()
-    ZS = [Z[i::3, :] for i in range(3)]
-    extent = extent[0], extent[1]/3., extent[2], extent[3]
-
-    # demo 1 : colorbar at each axes
-
-    grid = ImageGrid(F, 211,  # similar to subplot(111)
-                     nrows_ncols=(1, 3),
-                     direction="row",
-                     axes_pad = 0.05,
-                     add_all=True,
-                     label_mode = "1",
-                     share_all = True,
-                     cbar_location="top",
-                     cbar_mode="each",
-                     cbar_size="7%",
-                     cbar_pad="1%",
-                     )
-
-    for ax, z in zip(grid, ZS):
-        im = ax.imshow(
-            z, origin="lower", extent=extent, interpolation="nearest")
-        ax.cax.colorbar(im)
-
-    for ax, im_title in zip(grid, ["Image 1", "Image 2", "Image 3"]):
-        t = add_inner_title(ax, im_title, loc=3)
-        t.patch.set_alpha(0.5)
-
-    for ax, z in zip(grid, ZS):
-        ax.cax.toggle_label(True)
-        #axis = ax.cax.axis[ax.cax.orientation]
-        #axis.label.set_text("counts s$^{-1}$")
-        #axis.label.set_size(10)
-        #axis.major_ticklabels.set_size(6)
-
-    # changing the colorbar ticks
-    grid[1].cax.set_xticks([-1, 0, 1])
-    grid[2].cax.set_xticks([-1, 0, 1])
-
-    grid[0].set_xticks([-2, 0])
-    grid[0].set_yticks([-2, 0, 2])
-
-    # demo 2 : shared colorbar
-
-    grid2 = ImageGrid(F, 212,
-                      nrows_ncols=(1, 3),
-                      direction="row",
-                      axes_pad = 0.05,
-                      add_all=True,
-                      label_mode = "1",
-                      share_all = True,
-                      cbar_location="right",
-                      cbar_mode="single",
-                      cbar_size="10%",
-                      cbar_pad=0.05,
-                      )
-
-    grid2[0].set_xlabel("X")
-    grid2[0].set_ylabel("Y")
-
-    vmax, vmin = np.max(ZS), np.min(ZS)
-    import matplotlib.colors
-    norm = matplotlib.colors.Normalize(vmax=vmax, vmin=vmin)
-
-    for ax, z in zip(grid2, ZS):
-        im = ax.imshow(z, norm=norm,
-                       origin="lower", extent=extent,
-                       interpolation="nearest")
-
-    # With cbar_mode="single", cax attribute of all axes are identical.
-    ax.cax.colorbar(im)
-    ax.cax.toggle_label(True)
-
-    for ax, im_title in zip(grid2, ["(a)", "(b)", "(c)"]):
-        t = add_inner_title(ax, im_title, loc=2)
-        t.patch.set_ec("none")
-        t.patch.set_alpha(0.5)
-
-    grid2[0].set_xticks([-2, 0])
-    grid2[0].set_yticks([-2, 0, 2])
-
-    plt.draw()
-    plt.show()
diff --git a/examples/axes_grid/demo_axes_hbox_divider.py b/examples/axes_grid/demo_axes_hbox_divider.py
deleted file mode 100644
index 692ca8454c3e..000000000000
--- a/examples/axes_grid/demo_axes_hbox_divider.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1.axes_divider import HBoxDivider
-import mpl_toolkits.axes_grid1.axes_size as Size
-
-
-def make_heights_equal(fig, rect, ax1, ax2, pad):
-    # pad in inches
-
-    h1, v1 = Size.AxesX(ax1), Size.AxesY(ax1)
-    h2, v2 = Size.AxesX(ax2), Size.AxesY(ax2)
-
-    pad_v = Size.Scaled(1)
-    pad_h = Size.Fixed(pad)
-
-    my_divider = HBoxDivider(fig, rect,
-                             horizontal=[h1, pad_h, h2],
-                             vertical=[v1, pad_v, v2])
-
-    ax1.set_axes_locator(my_divider.new_locator(0))
-    ax2.set_axes_locator(my_divider.new_locator(2))
-
-
-if __name__ == "__main__":
-
-    arr1 = np.arange(20).reshape((4, 5))
-    arr2 = np.arange(20).reshape((5, 4))
-
-    fig, (ax1, ax2) = plt.subplots(1, 2)
-    ax1.imshow(arr1, interpolation="nearest")
-    ax2.imshow(arr2, interpolation="nearest")
-
-    rect = 111  # subplot param for combined axes
-    make_heights_equal(fig, rect, ax1, ax2, pad=0.5)  # pad in inches
-
-    for ax in [ax1, ax2]:
-        ax.locator_params(nbins=4)
-
-    # annotate
-    ax3 = plt.axes([0.5, 0.5, 0.001, 0.001], frameon=False)
-    ax3.xaxis.set_visible(False)
-    ax3.yaxis.set_visible(False)
-    ax3.annotate("Location of two axes are adjusted\n"
-                 "so that they have equal heights\n"
-                 "while maintaining their aspect ratios", (0.5, 0.5),
-                 xycoords="axes fraction", va="center", ha="center",
-                 bbox=dict(boxstyle="round, pad=1", fc="w"))
-
-    plt.show()
diff --git a/examples/axes_grid/demo_axes_rgb.py b/examples/axes_grid/demo_axes_rgb.py
deleted file mode 100644
index c5569b52de98..000000000000
--- a/examples/axes_grid/demo_axes_rgb.py
+++ /dev/null
@@ -1,84 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1.axes_rgb import make_rgb_axes, RGBAxes
-
-
-def get_demo_image():
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-
-def get_rgb():
-    Z, extent = get_demo_image()
-
-    Z[Z < 0] = 0.
-    Z = Z/Z.max()
-
-    R = Z[:13, :13]
-    G = Z[2:, 2:]
-    B = Z[:13, 2:]
-
-    return R, G, B
-
-
-def make_cube(r, g, b):
-    ny, nx = r.shape
-    R = np.zeros([ny, nx, 3], dtype="d")
-    R[:, :, 0] = r
-    G = np.zeros_like(R)
-    G[:, :, 1] = g
-    B = np.zeros_like(R)
-    B[:, :, 2] = b
-
-    RGB = R + G + B
-
-    return R, G, B, RGB
-
-
-def demo_rgb():
-    fig, ax = plt.subplots()
-    ax_r, ax_g, ax_b = make_rgb_axes(ax, pad=0.02)
-    #fig.add_axes(ax_r)
-    #fig.add_axes(ax_g)
-    #fig.add_axes(ax_b)
-
-    r, g, b = get_rgb()
-    im_r, im_g, im_b, im_rgb = make_cube(r, g, b)
-    kwargs = dict(origin="lower", interpolation="nearest")
-    ax.imshow(im_rgb, **kwargs)
-    ax_r.imshow(im_r, **kwargs)
-    ax_g.imshow(im_g, **kwargs)
-    ax_b.imshow(im_b, **kwargs)
-
-
-def demo_rgb2():
-    fig = plt.figure(2)
-    ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
-    #fig.add_axes(ax)
-    #ax.add_RGB_to_figure()
-
-    r, g, b = get_rgb()
-    kwargs = dict(origin="lower", interpolation="nearest")
-    ax.imshow_rgb(r, g, b, **kwargs)
-
-    ax.RGB.set_xlim(0., 9.5)
-    ax.RGB.set_ylim(0.9, 10.6)
-
-    for ax1 in [ax.RGB, ax.R, ax.G, ax.B]:
-        for sp1 in ax1.spines.values():
-            sp1.set_color("w")
-        for tick in ax1.xaxis.get_major_ticks() + ax1.yaxis.get_major_ticks():
-            tick.tick1line.set_mec("w")
-            tick.tick2line.set_mec("w")
-
-    return ax
-
-
-demo_rgb()
-ax = demo_rgb2()
-
-plt.show()
diff --git a/examples/axes_grid/demo_axisline_style.py b/examples/axes_grid/demo_axisline_style.py
deleted file mode 100644
index 3d0b0d6f5dab..000000000000
--- a/examples/axes_grid/demo_axisline_style.py
+++ /dev/null
@@ -1,21 +0,0 @@
-
-from mpl_toolkits.axes_grid.axislines import SubplotZero
-import matplotlib.pyplot as plt
-import numpy as np
-
-if 1:
-    fig = plt.figure(1)
-    ax = SubplotZero(fig, 111)
-    fig.add_subplot(ax)
-
-    for direction in ["xzero", "yzero"]:
-        ax.axis[direction].set_axisline_style("-|>")
-        ax.axis[direction].set_visible(True)
-
-    for direction in ["left", "right", "bottom", "top"]:
-        ax.axis[direction].set_visible(False)
-
-    x = np.linspace(-0.5, 1., 100)
-    ax.plot(x, np.sin(x*np.pi))
-
-    plt.show()
diff --git a/examples/axes_grid/demo_colorbar_with_inset_locator.py b/examples/axes_grid/demo_colorbar_with_inset_locator.py
deleted file mode 100644
index 72a920b402c5..000000000000
--- a/examples/axes_grid/demo_colorbar_with_inset_locator.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1.inset_locator import inset_axes
-
-fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3])
-
-axins1 = inset_axes(ax1,
-                    width="50%",  # width = 10% of parent_bbox width
-                    height="5%",  # height : 50%
-                    loc=1)
-
-im1 = ax1.imshow([[1, 2], [2, 3]])
-plt.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
-axins1.xaxis.set_ticks_position("bottom")
-
-axins = inset_axes(ax2,
-                   width="5%",  # width = 10% of parent_bbox width
-                   height="50%",  # height : 50%
-                   loc=3,
-                   bbox_to_anchor=(1.05, 0., 1, 1),
-                   bbox_transform=ax2.transAxes,
-                   borderpad=0,
-                   )
-
-# Controlling the placement of the inset axes is basically same as that
-# of the legend.  you may want to play with the borderpad value and
-# the bbox_to_anchor coordinate.
-
-im = ax2.imshow([[1, 2], [2, 3]])
-plt.colorbar(im, cax=axins, ticks=[1, 2, 3])
-
-plt.draw()
-plt.show()
diff --git a/examples/axes_grid/demo_curvelinear_grid.py b/examples/axes_grid/demo_curvelinear_grid.py
deleted file mode 100644
index 4080aaadc974..000000000000
--- a/examples/axes_grid/demo_curvelinear_grid.py
+++ /dev/null
@@ -1,126 +0,0 @@
-import numpy as np
-
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-
-from mpl_toolkits.axisartist import Subplot
-from mpl_toolkits.axisartist import SubplotHost, \
-    ParasiteAxesAuxTrans
-from mpl_toolkits.axisartist.grid_helper_curvelinear import \
-    GridHelperCurveLinear
-
-
-def curvelinear_test1(fig):
-    """
-    grid for custom transform.
-    """
-
-    def tr(x, y):
-        x, y = np.asarray(x), np.asarray(y)
-        return x, y - x
-
-    def inv_tr(x, y):
-        x, y = np.asarray(x), np.asarray(y)
-        return x, y + x
-
-    grid_helper = GridHelperCurveLinear((tr, inv_tr))
-
-    ax1 = Subplot(fig, 1, 2, 1, grid_helper=grid_helper)
-    # ax1 will have a ticks and gridlines defined by the given
-    # transform (+ transData of the Axes). Note that the transform of
-    # the Axes itself (i.e., transData) is not affected by the given
-    # transform.
-
-    fig.add_subplot(ax1)
-
-    xx, yy = tr([3, 6], [5.0, 10.])
-    ax1.plot(xx, yy)
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(0, 10.)
-    ax1.set_ylim(0, 10.)
-
-    ax1.axis["t"] = ax1.new_floating_axis(0, 3.)
-    ax1.axis["t2"] = ax1.new_floating_axis(1, 7.)
-    ax1.grid(True)
-
-
-import mpl_toolkits.axisartist.angle_helper as angle_helper
-from matplotlib.projections import PolarAxes
-from matplotlib.transforms import Affine2D
-
-
-def curvelinear_test2(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-
-    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
-    # system in degree
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    # polar projection, which involves cycle, and also has limits in
-    # its coordinates, needs a special method to find the extremes
-    # (min, max of the coordinate within the view).
-
-    # 20, 20 : number of sampling points along x, y direction
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle=360,
-                                                     lat_cycle=None,
-                                                     lon_minmax=None,
-                                                     lat_minmax=(0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(12)
-    # Find a grid values appropriate for the coordinate (degree,
-    # minute, second).
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-    # And also uses an appropriate formatter.  Note that,the
-    # acceptable Locator and Formatter class is a bit different than
-    # that of mpl's, and you cannot directly use mpl's Locator and
-    # Formatter here (but may be possible in the future).
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-    ax1 = SubplotHost(fig, 1, 2, 2, grid_helper=grid_helper)
-
-    # make ticklabels of right and top axis visible.
-    ax1.axis["right"].major_ticklabels.set_visible(True)
-    ax1.axis["top"].major_ticklabels.set_visible(True)
-
-    # let right axis shows ticklabels for 1st coordinate (angle)
-    ax1.axis["right"].get_helper().nth_coord_ticks = 0
-    # let bottom axis shows ticklabels for 2nd coordinate (radius)
-    ax1.axis["bottom"].get_helper().nth_coord_ticks = 1
-
-    fig.add_subplot(ax1)
-
-    # A parasite axes with given transform
-    ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
-    # note that ax2.transData == tr + ax1.transData
-    # Anthing you draw in ax2 will match the ticks and grids of ax1.
-    ax1.parasites.append(ax2)
-    intp = cbook.simple_linear_interpolation
-    ax2.plot(intp(np.array([0, 30]), 50),
-             intp(np.array([10., 10.]), 50))
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    ax1.grid(True)
-
-if 1:
-    fig = plt.figure(1, figsize=(7, 4))
-    fig.clf()
-
-    curvelinear_test1(fig)
-    curvelinear_test2(fig)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/axes_grid/demo_curvelinear_grid2.py b/examples/axes_grid/demo_curvelinear_grid2.py
deleted file mode 100644
index a1b105cefdf3..000000000000
--- a/examples/axes_grid/demo_curvelinear_grid2.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid.grid_helper_curvelinear import \
-    GridHelperCurveLinear
-from mpl_toolkits.axes_grid.axislines import Subplot
-
-import mpl_toolkits.axes_grid.angle_helper as angle_helper
-
-
-def curvelinear_test1(fig):
-    """
-    grid for custom transform.
-    """
-
-    def tr(x, y):
-        sgn = np.sign(x)
-        x, y = np.abs(np.asarray(x)), np.asarray(y)
-        return sgn*x**.5, y
-
-    def inv_tr(x, y):
-        sgn = np.sign(x)
-        x, y = np.asarray(x), np.asarray(y)
-        return sgn*x**2, y
-
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle=None,
-                                                     lat_cycle=None,
-                                                     # (0, np.inf),
-                                                     lon_minmax=None,
-                                                     lat_minmax=None,
-                                                     )
-
-    grid_helper = GridHelperCurveLinear((tr, inv_tr),
-                                        extreme_finder=extreme_finder)
-
-    ax1 = Subplot(fig, 111, grid_helper=grid_helper)
-    # ax1 will have a ticks and gridlines defined by the given
-    # transform (+ transData of the Axes). Note that the transform of
-    # the Axes itself (i.e., transData) is not affected by the given
-    # transform.
-
-    fig.add_subplot(ax1)
-
-    ax1.imshow(np.arange(25).reshape(5, 5),
-               vmax=50, cmap=plt.cm.gray_r,
-               interpolation="nearest",
-               origin="lower")
-
-    # tick density
-    grid_helper.grid_finder.grid_locator1._nbins = 6
-    grid_helper.grid_finder.grid_locator2._nbins = 6
-
-
-if 1:
-    fig = plt.figure(1, figsize=(7, 4))
-    fig.clf()
-
-    curvelinear_test1(fig)
-    plt.show()
diff --git a/examples/axes_grid/demo_edge_colorbar.py b/examples/axes_grid/demo_edge_colorbar.py
deleted file mode 100644
index 667483366b66..000000000000
--- a/examples/axes_grid/demo_edge_colorbar.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import AxesGrid
-
-
-def get_demo_image():
-    import numpy as np
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-
-def demo_bottom_cbar(fig):
-    """
-    A grid of 2x2 images with a colorbar for each column.
-    """
-    grid = AxesGrid(fig, 121,  # similar to subplot(132)
-                    nrows_ncols=(2, 2),
-                    axes_pad = 0.10,
-                    share_all=True,
-                    label_mode = "1",
-                    cbar_location = "bottom",
-                    cbar_mode="edge",
-                    cbar_pad = 0.25,
-                    cbar_size = "15%",
-                    direction="column"
-                    )
-
-    Z, extent = get_demo_image()
-    cmaps = [plt.get_cmap("autumn"), plt.get_cmap("summer")]
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
-                            cmap=cmaps[i//2])
-        if i % 2:
-            cbar = grid.cbar_axes[i//2].colorbar(im)
-
-    for cax in grid.cbar_axes:
-        cax.toggle_label(True)
-        cax.axis[cax.orientation].set_label("Bar")
-
-    # This affects all axes as share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-def demo_right_cbar(fig):
-    """
-    A grid of 2x2 images. Each row has its own colorbar.
-    """
-
-    grid = AxesGrid(F, 122,  # similar to subplot(122)
-                    nrows_ncols=(2, 2),
-                    axes_pad = 0.10,
-                    label_mode = "1",
-                    share_all = True,
-                    cbar_location="right",
-                    cbar_mode="edge",
-                    cbar_size="7%",
-                    cbar_pad="2%",
-                    )
-    Z, extent = get_demo_image()
-    cmaps = [plt.get_cmap("spring"), plt.get_cmap("winter")]
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
-                            cmap=cmaps[i//2])
-        if i % 2:
-            grid.cbar_axes[i//2].colorbar(im)
-
-    for cax in grid.cbar_axes:
-        cax.toggle_label(True)
-        cax.axis[cax.orientation].set_label('Foo')
-
-    # This affects all axes because we set share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-
-if 1:
-    F = plt.figure(1, (5.5, 2.5))
-
-    F.subplots_adjust(left=0.05, right=0.93)
-
-    demo_bottom_cbar(F)
-    demo_right_cbar(F)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/axes_grid/demo_floating_axes.py b/examples/axes_grid/demo_floating_axes.py
deleted file mode 100644
index 52e62af58e9d..000000000000
--- a/examples/axes_grid/demo_floating_axes.py
+++ /dev/null
@@ -1,142 +0,0 @@
-from matplotlib.transforms import Affine2D
-import mpl_toolkits.axisartist.floating_axes as floating_axes
-import numpy as np
-import mpl_toolkits.axisartist.angle_helper as angle_helper
-from matplotlib.projections import PolarAxes
-from mpl_toolkits.axisartist.grid_finder import (FixedLocator, MaxNLocator,
-                                                 DictFormatter)
-import matplotlib.pyplot as plt
-
-
-def setup_axes1(fig, rect):
-    """
-    A simple one.
-    """
-    tr = Affine2D().scale(2, 1).rotate_deg(30)
-
-    grid_helper = floating_axes.GridHelperCurveLinear(
-        tr, extremes=(0, 4, 0, 4))
-
-    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
-    fig.add_subplot(ax1)
-
-    aux_ax = ax1.get_aux_axes(tr)
-
-    grid_helper.grid_finder.grid_locator1._nbins = 4
-    grid_helper.grid_finder.grid_locator2._nbins = 4
-
-    return ax1, aux_ax
-
-
-def setup_axes2(fig, rect):
-    """
-    With custom locator and formatter.
-    Note that the extreme values are swapped.
-    """
-    tr = PolarAxes.PolarTransform()
-
-    pi = np.pi
-    angle_ticks = [(0, r"$0$"),
-                   (.25*pi, r"$\frac{1}{4}\pi$"),
-                   (.5*pi, r"$\frac{1}{2}\pi$")]
-    grid_locator1 = FixedLocator([v for v, s in angle_ticks])
-    tick_formatter1 = DictFormatter(dict(angle_ticks))
-
-    grid_locator2 = MaxNLocator(2)
-
-    grid_helper = floating_axes.GridHelperCurveLinear(
-        tr, extremes=(.5*pi, 0, 2, 1),
-        grid_locator1=grid_locator1,
-        grid_locator2=grid_locator2,
-        tick_formatter1=tick_formatter1,
-        tick_formatter2=None)
-
-    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
-    fig.add_subplot(ax1)
-
-    # create a parasite axes whose transData in RA, cz
-    aux_ax = ax1.get_aux_axes(tr)
-
-    aux_ax.patch = ax1.patch  # for aux_ax to have a clip path as in ax
-    ax1.patch.zorder = 0.9  # but this has a side effect that the patch is
-    # drawn twice, and possibly over some other
-    # artists. So, we decrease the zorder a bit to
-    # prevent this.
-
-    return ax1, aux_ax
-
-
-def setup_axes3(fig, rect):
-    """
-    Sometimes, things like axis_direction need to be adjusted.
-    """
-
-    # rotate a bit for better orientation
-    tr_rotate = Affine2D().translate(-95, 0)
-
-    # scale degree to radians
-    tr_scale = Affine2D().scale(np.pi/180., 1.)
-
-    tr = tr_rotate + tr_scale + PolarAxes.PolarTransform()
-
-    grid_locator1 = angle_helper.LocatorHMS(4)
-    tick_formatter1 = angle_helper.FormatterHMS()
-
-    grid_locator2 = MaxNLocator(3)
-
-    ra0, ra1 = 8.*15, 14.*15
-    cz0, cz1 = 0, 14000
-    grid_helper = floating_axes.GridHelperCurveLinear(
-        tr, extremes=(ra0, ra1, cz0, cz1),
-        grid_locator1=grid_locator1,
-        grid_locator2=grid_locator2,
-        tick_formatter1=tick_formatter1,
-        tick_formatter2=None)
-
-    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
-    fig.add_subplot(ax1)
-
-    # adjust axis
-    ax1.axis["left"].set_axis_direction("bottom")
-    ax1.axis["right"].set_axis_direction("top")
-
-    ax1.axis["bottom"].set_visible(False)
-    ax1.axis["top"].set_axis_direction("bottom")
-    ax1.axis["top"].toggle(ticklabels=True, label=True)
-    ax1.axis["top"].major_ticklabels.set_axis_direction("top")
-    ax1.axis["top"].label.set_axis_direction("top")
-
-    ax1.axis["left"].label.set_text(r"cz [km$^{-1}$]")
-    ax1.axis["top"].label.set_text(r"$\alpha_{1950}$")
-
-    # create a parasite axes whose transData in RA, cz
-    aux_ax = ax1.get_aux_axes(tr)
-
-    aux_ax.patch = ax1.patch  # for aux_ax to have a clip path as in ax
-    ax1.patch.zorder = 0.9  # but this has a side effect that the patch is
-    # drawn twice, and possibly over some other
-    # artists. So, we decrease the zorder a bit to
-    # prevent this.
-
-    return ax1, aux_ax
-
-
-##########################################################
-fig = plt.figure(1, figsize=(8, 4))
-fig.subplots_adjust(wspace=0.3, left=0.05, right=0.95)
-
-ax1, aux_ax1 = setup_axes1(fig, 131)
-aux_ax1.bar([0, 1, 2, 3], [3, 2, 1, 3])
-
-ax2, aux_ax2 = setup_axes2(fig, 132)
-theta = np.random.rand(10)*.5*np.pi
-radius = np.random.rand(10) + 1.
-aux_ax2.scatter(theta, radius)
-
-ax3, aux_ax3 = setup_axes3(fig, 133)
-
-theta = (8 + np.random.rand(10)*(14 - 8))*15.  # in degrees
-radius = np.random.rand(10)*14000.
-aux_ax3.scatter(theta, radius)
-
-plt.show()
diff --git a/examples/axes_grid/demo_floating_axis.py b/examples/axes_grid/demo_floating_axis.py
deleted file mode 100644
index f907105807c5..000000000000
--- a/examples/axes_grid/demo_floating_axis.py
+++ /dev/null
@@ -1,68 +0,0 @@
-"""
-An experimental support for curvilinear grid.
-"""
-
-
-def curvelinear_test2(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-    global ax1
-    import numpy as np
-    import mpl_toolkits.axisartist.angle_helper as angle_helper
-    from matplotlib.projections import PolarAxes
-    from matplotlib.transforms import Affine2D
-
-    from mpl_toolkits.axisartist import SubplotHost
-
-    from mpl_toolkits.axisartist import GridHelperCurveLinear
-
-    # see demo_curvelinear_grid.py for details
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle=360,
-                                                     lat_cycle=None,
-                                                     lon_minmax=None,
-                                                     lat_minmax=(0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(12)
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
-
-    fig.add_subplot(ax1)
-
-    # Now creates floating axis
-
-    #grid_helper = ax1.get_grid_helper()
-    # floating axis whose first coordinate (theta) is fixed at 60
-    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
-    axis.label.set_text(r"$\theta = 60^{\circ}$")
-    axis.label.set_visible(True)
-
-    # floating axis whose second coordinate (r) is fixed at 6
-    ax1.axis["lon"] = axis = ax1.new_floating_axis(1, 6)
-    axis.label.set_text(r"$r = 6$")
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    ax1.grid(True)
-
-import matplotlib.pyplot as plt
-fig = plt.figure(1, figsize=(5, 5))
-fig.clf()
-
-curvelinear_test2(fig)
-
-plt.show()
diff --git a/examples/axes_grid/demo_imagegrid_aspect.py b/examples/axes_grid/demo_imagegrid_aspect.py
deleted file mode 100644
index 79f7655753eb..000000000000
--- a/examples/axes_grid/demo_imagegrid_aspect.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1 import ImageGrid
-fig = plt.figure(1)
-
-grid1 = ImageGrid(fig, 121, (2, 2), axes_pad=0.1,
-                  aspect=True, share_all=True)
-
-for i in [0, 1]:
-    grid1[i].set_aspect(2)
-
-
-grid2 = ImageGrid(fig, 122, (2, 2), axes_pad=0.1,
-                  aspect=True, share_all=True)
-
-
-for i in [1, 3]:
-    grid2[i].set_aspect(2)
-
-plt.show()
diff --git a/examples/axes_grid/demo_parasite_axes2.py b/examples/axes_grid/demo_parasite_axes2.py
deleted file mode 100644
index 10f57698a58f..000000000000
--- a/examples/axes_grid/demo_parasite_axes2.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from mpl_toolkits.axes_grid1 import host_subplot
-import mpl_toolkits.axisartist as AA
-import matplotlib.pyplot as plt
-
-if 1:
-
-    host = host_subplot(111, axes_class=AA.Axes)
-    plt.subplots_adjust(right=0.75)
-
-    par1 = host.twinx()
-    par2 = host.twinx()
-
-    offset = 60
-    new_fixed_axis = par2.get_grid_helper().new_fixed_axis
-    par2.axis["right"] = new_fixed_axis(loc="right",
-                                        axes=par2,
-                                        offset=(offset, 0))
-
-    par2.axis["right"].toggle(all=True)
-
-    host.set_xlim(0, 2)
-    host.set_ylim(0, 2)
-
-    host.set_xlabel("Distance")
-    host.set_ylabel("Density")
-    par1.set_ylabel("Temperature")
-    par2.set_ylabel("Velocity")
-
-    p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
-    p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
-    p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
-
-    par1.set_ylim(0, 4)
-    par2.set_ylim(1, 65)
-
-    host.legend()
-
-    host.axis["left"].label.set_color(p1.get_color())
-    par1.axis["right"].label.set_color(p2.get_color())
-    par2.axis["right"].label.set_color(p3.get_color())
-
-    plt.draw()
-    plt.show()
-
-    #plt.savefig("Test")
diff --git a/examples/axes_grid/inset_locator_demo.py b/examples/axes_grid/inset_locator_demo.py
deleted file mode 100644
index 3fc9e975e23a..000000000000
--- a/examples/axes_grid/inset_locator_demo.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1.inset_locator import inset_axes, zoomed_inset_axes
-from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
-
-
-def add_sizebar(ax, size):
-    asb = AnchoredSizeBar(ax.transData,
-                          size,
-                          str(size),
-                          loc=8,
-                          pad=0.1, borderpad=0.5, sep=5,
-                          frameon=False)
-    ax.add_artist(asb)
-
-
-fig, (ax, ax2) = plt.subplots(1, 2, figsize=[5.5, 3])
-
-# first subplot
-ax.set_aspect(1.)
-
-axins = inset_axes(ax,
-                   width="30%",  # width = 30% of parent_bbox
-                   height=1.,  # height : 1 inch
-                   loc=3)
-
-plt.xticks(visible=False)
-plt.yticks(visible=False)
-
-
-# second subplot
-ax2.set_aspect(1.)
-
-axins = zoomed_inset_axes(ax2, 0.5, loc=1)  # zoom = 0.5
-
-plt.xticks(visible=False)
-plt.yticks(visible=False)
-
-add_sizebar(ax2, 0.5)
-add_sizebar(axins, 0.5)
-
-plt.draw()
-plt.show()
diff --git a/examples/axes_grid/inset_locator_demo2.py b/examples/axes_grid/inset_locator_demo2.py
deleted file mode 100644
index 97e420694b64..000000000000
--- a/examples/axes_grid/inset_locator_demo2.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import matplotlib.pyplot as plt
-
-from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
-from mpl_toolkits.axes_grid1.inset_locator import mark_inset
-
-import numpy as np
-
-
-def get_demo_image():
-    from matplotlib.cbook import get_sample_data
-    import numpy as np
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-fig, ax = plt.subplots(figsize=[5, 4])
-
-# prepare the demo image
-Z, extent = get_demo_image()
-Z2 = np.zeros([150, 150], dtype="d")
-ny, nx = Z.shape
-Z2[30:30 + ny, 30:30 + nx] = Z
-
-# extent = [-3, 4, -4, 3]
-ax.imshow(Z2, extent=extent, interpolation="nearest",
-          origin="lower")
-
-axins = zoomed_inset_axes(ax, 6, loc=1)  # zoom = 6
-axins.imshow(Z2, extent=extent, interpolation="nearest",
-             origin="lower")
-
-# sub region of the original image
-x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
-axins.set_xlim(x1, x2)
-axins.set_ylim(y1, y2)
-
-plt.xticks(visible=False)
-plt.yticks(visible=False)
-
-# draw a bbox of the region of the inset axes in the parent axes and
-# connecting lines between the bbox and the inset axes area
-mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
-
-plt.draw()
-plt.show()
diff --git a/examples/axes_grid/make_room_for_ylabel_using_axesgrid.py b/examples/axes_grid/make_room_for_ylabel_using_axesgrid.py
deleted file mode 100644
index fb609105a9da..000000000000
--- a/examples/axes_grid/make_room_for_ylabel_using_axesgrid.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from mpl_toolkits.axes_grid1 import make_axes_locatable
-from mpl_toolkits.axes_grid1.axes_divider import make_axes_area_auto_adjustable
-
-
-if __name__ == "__main__":
-
-    import matplotlib.pyplot as plt
-
-    def ex1():
-        plt.figure(1)
-        ax = plt.axes([0, 0, 1, 1])
-        #ax = plt.subplot(111)
-
-        ax.set_yticks([0.5])
-        ax.set_yticklabels(["very long label"])
-
-        make_axes_area_auto_adjustable(ax)
-
-    def ex2():
-
-        plt.figure(2)
-        ax1 = plt.axes([0, 0, 1, 0.5])
-        ax2 = plt.axes([0, 0.5, 1, 0.5])
-
-        ax1.set_yticks([0.5])
-        ax1.set_yticklabels(["very long label"])
-        ax1.set_ylabel("Y label")
-
-        ax2.set_title("Title")
-
-        make_axes_area_auto_adjustable(ax1, pad=0.1, use_axes=[ax1, ax2])
-        make_axes_area_auto_adjustable(ax2, pad=0.1, use_axes=[ax1, ax2])
-
-    def ex3():
-
-        fig = plt.figure(3)
-        ax1 = plt.axes([0, 0, 1, 1])
-        divider = make_axes_locatable(ax1)
-
-        ax2 = divider.new_horizontal("100%", pad=0.3, sharey=ax1)
-        ax2.tick_params(labelleft="off")
-        fig.add_axes(ax2)
-
-        divider.add_auto_adjustable_area(use_axes=[ax1], pad=0.1,
-                                         adjust_dirs=["left"])
-        divider.add_auto_adjustable_area(use_axes=[ax2], pad=0.1,
-                                         adjust_dirs=["right"])
-        divider.add_auto_adjustable_area(use_axes=[ax1, ax2], pad=0.1,
-                                         adjust_dirs=["top", "bottom"])
-
-        ax1.set_yticks([0.5])
-        ax1.set_yticklabels(["very long label"])
-
-        ax2.set_title("Title")
-        ax2.set_xlabel("X - Label")
-
-    ex1()
-    ex2()
-    ex3()
-
-    plt.show()
diff --git a/examples/axes_grid/scatter_hist.py b/examples/axes_grid/scatter_hist.py
deleted file mode 100644
index ff6e1412c1fc..000000000000
--- a/examples/axes_grid/scatter_hist.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import make_axes_locatable
-
-# the random data
-x = np.random.randn(1000)
-y = np.random.randn(1000)
-
-
-fig, axScatter = plt.subplots(figsize=(5.5, 5.5))
-
-# the scatter plot:
-axScatter.scatter(x, y)
-axScatter.set_aspect(1.)
-
-# create new axes on the right and on the top of the current axes
-# The first argument of the new_vertical(new_horizontal) method is
-# the height (width) of the axes to be created in inches.
-divider = make_axes_locatable(axScatter)
-axHistx = divider.append_axes("top", 1.2, pad=0.1, sharex=axScatter)
-axHisty = divider.append_axes("right", 1.2, pad=0.1, sharey=axScatter)
-
-# make some labels invisible
-plt.setp(axHistx.get_xticklabels() + axHisty.get_yticklabels(),
-         visible=False)
-
-# now determine nice limits by hand:
-binwidth = 0.25
-xymax = np.max([np.max(np.fabs(x)), np.max(np.fabs(y))])
-lim = (int(xymax/binwidth) + 1)*binwidth
-
-bins = np.arange(-lim, lim + binwidth, binwidth)
-axHistx.hist(x, bins=bins)
-axHisty.hist(y, bins=bins, orientation='horizontal')
-
-# the xaxis of axHistx and yaxis of axHisty are shared with axScatter,
-# thus there is no need to manually adjust the xlim and ylim of these
-# axis.
-
-#axHistx.axis["bottom"].major_ticklabels.set_visible(False)
-for tl in axHistx.get_xticklabels():
-    tl.set_visible(False)
-axHistx.set_yticks([0, 50, 100])
-
-#axHisty.axis["left"].major_ticklabels.set_visible(False)
-for tl in axHisty.get_yticklabels():
-    tl.set_visible(False)
-axHisty.set_xticks([0, 50, 100])
-
-plt.draw()
-plt.show()
diff --git a/examples/axes_grid/simple_anchored_artists.py b/examples/axes_grid/simple_anchored_artists.py
deleted file mode 100644
index 466f1a1730cb..000000000000
--- a/examples/axes_grid/simple_anchored_artists.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import matplotlib.pyplot as plt
-
-
-def draw_text(ax):
-    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredText
-    at = AnchoredText("Figure 1a",
-                      loc=2, prop=dict(size=8), frameon=True,
-                      )
-    at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
-    ax.add_artist(at)
-
-    at2 = AnchoredText("Figure 1(b)",
-                       loc=3, prop=dict(size=8), frameon=True,
-                       bbox_to_anchor=(0., 1.),
-                       bbox_transform=ax.transAxes
-                       )
-    at2.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
-    ax.add_artist(at2)
-
-
-def draw_circle(ax):  # circle in the canvas coordinate
-    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDrawingArea
-    from matplotlib.patches import Circle
-    ada = AnchoredDrawingArea(20, 20, 0, 0,
-                              loc=1, pad=0., frameon=False)
-    p = Circle((10, 10), 10)
-    ada.da.add_artist(p)
-    ax.add_artist(ada)
-
-
-def draw_ellipse(ax):
-    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredEllipse
-    # draw an ellipse of width=0.1, height=0.15 in the data coordinate
-    ae = AnchoredEllipse(ax.transData, width=0.1, height=0.15, angle=0.,
-                         loc=3, pad=0.5, borderpad=0.4, frameon=True)
-
-    ax.add_artist(ae)
-
-
-def draw_sizebar(ax):
-    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
-    # draw a horizontal bar with length of 0.1 in Data coordinate
-    # (ax.transData) with a label underneath.
-    asb = AnchoredSizeBar(ax.transData,
-                          0.1,
-                          r"1$^{\prime}$",
-                          loc=8,
-                          pad=0.1, borderpad=0.5, sep=5,
-                          frameon=False)
-    ax.add_artist(asb)
-
-
-if 1:
-    ax = plt.gca()
-    ax.set_aspect(1.)
-
-    draw_text(ax)
-    draw_circle(ax)
-    draw_ellipse(ax)
-    draw_sizebar(ax)
-
-    plt.show()
diff --git a/examples/axes_grid/simple_axesgrid.py b/examples/axes_grid/simple_axesgrid.py
deleted file mode 100644
index b8c45f2aae6d..000000000000
--- a/examples/axes_grid/simple_axesgrid.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import ImageGrid
-import numpy as np
-
-im = np.arange(100)
-im.shape = 10, 10
-
-fig = plt.figure(1, (4., 4.))
-grid = ImageGrid(fig, 111,  # similar to subplot(111)
-                 nrows_ncols=(2, 2),  # creates 2x2 grid of axes
-                 axes_pad=0.1,  # pad between axes in inch.
-                 )
-
-for i in range(4):
-    grid[i].imshow(im)  # The AxesGrid object work as a list of axes.
-
-plt.show()
diff --git a/examples/axes_grid/simple_axesgrid2.py b/examples/axes_grid/simple_axesgrid2.py
deleted file mode 100644
index 0eac5461613a..000000000000
--- a/examples/axes_grid/simple_axesgrid2.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import ImageGrid
-
-
-def get_demo_image():
-    import numpy as np
-    from matplotlib.cbook import get_sample_data
-    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
-    z = np.load(f)
-    # z is a numpy array of 15x15
-    return z, (-3, 4, -4, 3)
-
-F = plt.figure(1, (5.5, 3.5))
-grid = ImageGrid(F, 111,  # similar to subplot(111)
-                 nrows_ncols=(1, 3),
-                 axes_pad=0.1,
-                 add_all=True,
-                 label_mode="L",
-                 )
-
-Z, extent = get_demo_image()  # demo image
-
-im1 = Z
-im2 = Z[:, :10]
-im3 = Z[:, 10:]
-vmin, vmax = Z.min(), Z.max()
-for i, im in enumerate([im1, im2, im3]):
-    ax = grid[i]
-    ax.imshow(im, origin="lower", vmin=vmin,
-              vmax=vmax, interpolation="nearest")
-
-plt.draw()
-plt.show()
diff --git a/examples/axes_grid/simple_axisline4.py b/examples/axes_grid/simple_axisline4.py
deleted file mode 100644
index 0998189ae7b3..000000000000
--- a/examples/axes_grid/simple_axisline4.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import host_subplot
-import mpl_toolkits.axisartist as AA
-import numpy as np
-
-ax = host_subplot(111, axes_class=AA.Axes)
-xx = np.arange(0, 2*np.pi, 0.01)
-ax.plot(xx, np.sin(xx))
-
-ax2 = ax.twin()  # ax2 is responsible for "top" axis and "right" axis
-ax2.set_xticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi])
-ax2.set_xticklabels(["$0$", r"$\frac{1}{2}\pi$",
-                     r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
-
-ax2.axis["right"].major_ticklabels.set_visible(False)
-
-plt.draw()
-plt.show()
diff --git a/examples/color/color_cycle_demo.py b/examples/color/color_cycle_demo.py
deleted file mode 100644
index 5fdd01cd287e..000000000000
--- a/examples/color/color_cycle_demo.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""
-Demo of custom color-cycle settings to control colors for multi-line plots.
-
-This example demonstrates two different APIs:
-
-    1. Setting the default rc-parameter specifying the color cycle.
-       This affects all subsequent plots.
-    2. Setting the color cycle for a specific axes. This only affects a single
-       axes.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-x = np.linspace(0, 2 * np.pi)
-offsets = np.linspace(0, 2*np.pi, 4, endpoint=False)
-# Create array with shifted-sine curve along each column
-yy = np.transpose([np.sin(x + phi) for phi in offsets])
-
-plt.rc('lines', linewidth=4)
-fig, (ax0, ax1) = plt.subplots(nrows=2)
-
-plt.rc('axes', color_cycle=['r', 'g', 'b', 'y'])
-ax0.plot(yy)
-ax0.set_title('Set default color cycle to rgby')
-
-ax1.set_color_cycle(['c', 'm', 'y', 'k'])
-ax1.plot(yy)
-ax1.set_title('Set axes color cycle to cmyk')
-
-# Tweak spacing between subplots to prevent labels from overlapping
-plt.subplots_adjust(hspace=0.3)
-plt.show()
diff --git a/examples/color/colormaps_reference.py b/examples/color/colormaps_reference.py
deleted file mode 100644
index ebd66ef00f3c..000000000000
--- a/examples/color/colormaps_reference.py
+++ /dev/null
@@ -1,82 +0,0 @@
-"""
-Reference for colormaps included with Matplotlib.
-
-This reference example shows all colormaps included with Matplotlib. Note that
-any colormap listed here can be reversed by appending "_r" (e.g., "pink_r").
-These colormaps are divided into the following categories:
-
-Sequential:
-    These colormaps are approximately monochromatic colormaps varying smoothly
-    between two color tones---usually from low saturation (e.g. white) to high
-    saturation (e.g. a bright blue). Sequential colormaps are ideal for
-    representing most scientific data since they show a clear progression from
-    low-to-high values.
-
-Diverging:
-    These colormaps have a median value (usually light in color) and vary
-    smoothly to two different color tones at high and low values. Diverging
-    colormaps are ideal when your data has a median value that is significant
-    (e.g.  0, such that positive and negative values are represented by
-    different colors of the colormap).
-
-Qualitative:
-    These colormaps vary rapidly in color. Qualitative colormaps are useful for
-    choosing a set of discrete colors. For example::
-
-        color_list = plt.cm.Set3(np.linspace(0, 1, 12))
-
-    gives a list of RGB colors that are good for plotting a series of lines on
-    a dark background.
-
-Miscellaneous:
-    Colormaps that don't fit into the categories above.
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-cmaps = [('Sequential',     ['Blues', 'BuGn', 'BuPu',
-                             'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
-                             'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
-                             'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
-         ('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
-                             'gist_heat', 'gray', 'hot', 'pink',
-                             'spring', 'summer', 'winter']),
-         ('Diverging',      ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
-                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
-                             'seismic']),
-         ('Qualitative',    ['Accent', 'Dark2', 'Paired', 'Pastel1',
-                             'Pastel2', 'Set1', 'Set2', 'Set3']),
-         ('Miscellaneous',  ['gist_earth', 'terrain', 'ocean', 'gist_stern',
-                             'brg', 'CMRmap', 'cubehelix',
-                             'gnuplot', 'gnuplot2', 'gist_ncar',
-                             'nipy_spectral', 'jet', 'rainbow',
-                             'gist_rainbow', 'hsv', 'flag', 'prism'])]
-
-
-nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps)
-gradient = np.linspace(0, 1, 256)
-gradient = np.vstack((gradient, gradient))
-
-
-def plot_color_gradients(cmap_category, cmap_list):
-    fig, axes = plt.subplots(nrows=nrows)
-    fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99)
-    axes[0].set_title(cmap_category + ' colormaps', fontsize=14)
-
-    for ax, name in zip(axes, cmap_list):
-        ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name))
-        pos = list(ax.get_position().bounds)
-        x_text = pos[0] - 0.01
-        y_text = pos[1] + pos[3]/2.
-        fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10)
-
-    # Turn off *all* ticks & spines, not just the ones with colormaps.
-    for ax in axes:
-        ax.set_axis_off()
-
-for cmap_category, cmap_list in cmaps:
-    plot_color_gradients(cmap_category, cmap_list)
-
-plt.show()
diff --git a/examples/color/named_colors.py b/examples/color/named_colors.py
deleted file mode 100644
index 1b5837fcae29..000000000000
--- a/examples/color/named_colors.py
+++ /dev/null
@@ -1,79 +0,0 @@
-"""
-Visualization of named colors.
-
-Simple plot example with the named colors and its visual representation.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib import colors
-
-
-colors_ = list(six.iteritems(colors.cnames))
-
-# Add the single letter colors.
-for name, rgb in six.iteritems(colors.ColorConverter.colors):
-    hex_ = colors.rgb2hex(rgb)
-    colors_.append((name, hex_))
-
-# Transform to hex color values.
-hex_ = [color[1] for color in colors_]
-# Get the rgb equivalent.
-rgb = [colors.hex2color(color) for color in hex_]
-# Get the hsv equivalent.
-hsv = [colors.rgb_to_hsv(color) for color in rgb]
-
-# Split the hsv values to sort.
-hue = [color[0] for color in hsv]
-sat = [color[1] for color in hsv]
-val = [color[2] for color in hsv]
-
-# Sort by hue, saturation and value.
-ind = np.lexsort((val, sat, hue))
-sorted_colors = [colors_[i] for i in ind]
-
-n = len(sorted_colors)
-ncols = 4
-nrows = int(np.ceil(1. * n / ncols))
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-
-X, Y = fig.get_dpi() * fig.get_size_inches()
-
-# row height
-h = Y / (nrows + 1)
-# col width
-w = X / ncols
-
-for i, (name, color) in enumerate(sorted_colors):
-    col = i % ncols
-    row = int(i / ncols)
-    y = Y - (row * h) - h
-
-    xi_line = w * (col + 0.05)
-    xf_line = w * (col + 0.25)
-    xi_text = w * (col + 0.3)
-
-    ax.text(xi_text, y, name, fontsize=(h * 0.8),
-            horizontalalignment='left',
-            verticalalignment='center')
-
-#     Add extra black line a little bit thicker to make
-#     clear colors more visible.
-    ax.hlines(y, xi_line, xf_line, color='black', linewidth=(h * 0.7))
-    ax.hlines(y + h * 0.1, xi_line, xf_line, color=color, linewidth=(h * 0.6))
-
-ax.set_xlim(0, X)
-ax.set_ylim(0, Y)
-ax.set_axis_off()
-
-fig.subplots_adjust(left=0, right=1,
-                    top=1, bottom=0,
-                    hspace=0, wspace=0)
-plt.show()
diff --git a/examples/event_handling/README.txt b/examples/event_handling/README.txt
deleted file mode 100644
index 1095d4afead4..000000000000
--- a/examples/event_handling/README.txt
+++ /dev/null
@@ -1,18 +0,0 @@
-matplotlib event handling
-=========================
-
-matplotlib supports event handling with a GUI neutral event model.  So
-you can connect to matplotlib events w/o knowledge of what user
-interface matplotlib will ultimately be plugged in to.  This has two
-advantages: the code you write will be more portable, and matplotlib
-events are aware of things like data coordinate space and whih axes
-the event occurs in so you don't have to mess with low level
-transformation details to go from canvas space to data space.  Object
-picking examples are also included.
-
-There is an event handling tutorial at
-http://matplotlib.sourceforge.net/pycon/event_handling_tut.pdf.  The
-ReST source for this document is included in the matplotlib source
-distribution.
-
-
diff --git a/examples/event_handling/close_event.py b/examples/event_handling/close_event.py
deleted file mode 100644
index cffb6157cc36..000000000000
--- a/examples/event_handling/close_event.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from __future__ import print_function
-import matplotlib.pyplot as plt
-
-
-def handle_close(evt):
-    print('Closed Figure!')
-
-fig = plt.figure()
-fig.canvas.mpl_connect('close_event', handle_close)
-
-plt.text(0.35, 0.5, 'Close Me!', dict(size=30))
-plt.show()
diff --git a/examples/event_handling/data_browser.py b/examples/event_handling/data_browser.py
deleted file mode 100644
index 7bafd58f9708..000000000000
--- a/examples/event_handling/data_browser.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import numpy as np
-
-
-class PointBrowser(object):
-    """
-    Click on a point to select and highlight it -- the data that
-    generated the point will be shown in the lower axes.  Use the 'n'
-    and 'p' keys to browse through the next and previous points
-    """
-
-    def __init__(self):
-        self.lastind = 0
-
-        self.text = ax.text(0.05, 0.95, 'selected: none',
-                            transform=ax.transAxes, va='top')
-        self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
-                                 color='yellow', visible=False)
-
-    def onpress(self, event):
-        if self.lastind is None:
-            return
-        if event.key not in ('n', 'p'):
-            return
-        if event.key == 'n':
-            inc = 1
-        else:
-            inc = -1
-
-        self.lastind += inc
-        self.lastind = np.clip(self.lastind, 0, len(xs) - 1)
-        self.update()
-
-    def onpick(self, event):
-
-        if event.artist != line:
-            return True
-
-        N = len(event.ind)
-        if not N:
-            return True
-
-        # the click locations
-        x = event.mouseevent.xdata
-        y = event.mouseevent.ydata
-
-        distances = np.hypot(x - xs[event.ind], y - ys[event.ind])
-        indmin = distances.argmin()
-        dataind = event.ind[indmin]
-
-        self.lastind = dataind
-        self.update()
-
-    def update(self):
-        if self.lastind is None:
-            return
-
-        dataind = self.lastind
-
-        ax2.cla()
-        ax2.plot(X[dataind])
-
-        ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]),
-                 transform=ax2.transAxes, va='top')
-        ax2.set_ylim(-0.5, 1.5)
-        self.selected.set_visible(True)
-        self.selected.set_data(xs[dataind], ys[dataind])
-
-        self.text.set_text('selected: %d' % dataind)
-        fig.canvas.draw()
-
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-
-    X = np.random.rand(100, 200)
-    xs = np.mean(X, axis=1)
-    ys = np.std(X, axis=1)
-
-    fig, (ax, ax2) = plt.subplots(2, 1)
-    ax.set_title('click on point to plot time series')
-    line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
-
-    browser = PointBrowser()
-
-    fig.canvas.mpl_connect('pick_event', browser.onpick)
-    fig.canvas.mpl_connect('key_press_event', browser.onpress)
-
-    plt.show()
diff --git a/examples/event_handling/figure_axes_enter_leave.py b/examples/event_handling/figure_axes_enter_leave.py
deleted file mode 100644
index 7ca0ee39d522..000000000000
--- a/examples/event_handling/figure_axes_enter_leave.py
+++ /dev/null
@@ -1,48 +0,0 @@
-"""
-Illustrate the figure and axes enter and leave events by changing the
-frame colors on enter and leave
-"""
-from __future__ import print_function
-import matplotlib.pyplot as plt
-
-
-def enter_axes(event):
-    print('enter_axes', event.inaxes)
-    event.inaxes.patch.set_facecolor('yellow')
-    event.canvas.draw()
-
-
-def leave_axes(event):
-    print('leave_axes', event.inaxes)
-    event.inaxes.patch.set_facecolor('white')
-    event.canvas.draw()
-
-
-def enter_figure(event):
-    print('enter_figure', event.canvas.figure)
-    event.canvas.figure.patch.set_facecolor('red')
-    event.canvas.draw()
-
-
-def leave_figure(event):
-    print('leave_figure', event.canvas.figure)
-    event.canvas.figure.patch.set_facecolor('grey')
-    event.canvas.draw()
-
-fig1, (ax, ax2) = plt.subplots(2, 1)
-fig1.suptitle('mouse hover over figure or axes to trigger events')
-
-fig1.canvas.mpl_connect('figure_enter_event', enter_figure)
-fig1.canvas.mpl_connect('figure_leave_event', leave_figure)
-fig1.canvas.mpl_connect('axes_enter_event', enter_axes)
-fig1.canvas.mpl_connect('axes_leave_event', leave_axes)
-
-fig2, (ax, ax2) = plt.subplots(2, 1)
-fig2.suptitle('mouse hover over figure or axes to trigger events')
-
-fig2.canvas.mpl_connect('figure_enter_event', enter_figure)
-fig2.canvas.mpl_connect('figure_leave_event', leave_figure)
-fig2.canvas.mpl_connect('axes_enter_event', enter_axes)
-fig2.canvas.mpl_connect('axes_leave_event', leave_axes)
-
-plt.show()
diff --git a/examples/event_handling/idle_and_timeout.py b/examples/event_handling/idle_and_timeout.py
deleted file mode 100644
index 4c22d02596c4..000000000000
--- a/examples/event_handling/idle_and_timeout.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from __future__ import print_function
-"""
-Demonstrate/test the idle and timeout API
-
-This is only tested on gtk so far and is a prototype implementation
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-
-t = np.arange(0.0, 2.0, 0.01)
-y1 = np.sin(2*np.pi*t)
-y2 = np.cos(2*np.pi*t)
-line1, = ax.plot(y1)
-line2, = ax.plot(y2)
-
-N = 100
-
-
-def on_idle(event):
-    on_idle.count += 1
-    print('idle', on_idle.count)
-    line1.set_ydata(np.sin(2*np.pi*t*(N - on_idle.count)/float(N)))
-    event.canvas.draw()
-    # test boolean return removal
-    if on_idle.count == N:
-        return False
-    return True
-on_idle.cid = None
-on_idle.count = 0
-
-fig.canvas.mpl_connect('idle_event', on_idle)
-
-plt.show()
diff --git a/examples/event_handling/keypress_demo.py b/examples/event_handling/keypress_demo.py
deleted file mode 100755
index 0cf66313fb16..000000000000
--- a/examples/event_handling/keypress_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/env python
-
-"""
-Show how to connect to keypress events
-"""
-from __future__ import print_function
-import sys
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-def press(event):
-    print('press', event.key)
-    sys.stdout.flush()
-    if event.key == 'x':
-        visible = xl.get_visible()
-        xl.set_visible(not visible)
-        fig.canvas.draw()
-
-fig, ax = plt.subplots()
-
-fig.canvas.mpl_connect('key_press_event', press)
-
-ax.plot(np.random.rand(12), np.random.rand(12), 'go')
-xl = ax.set_xlabel('easy come, easy go')
-
-plt.show()
diff --git a/examples/event_handling/lasso_demo.py b/examples/event_handling/lasso_demo.py
deleted file mode 100644
index cd2de76933b2..000000000000
--- a/examples/event_handling/lasso_demo.py
+++ /dev/null
@@ -1,83 +0,0 @@
-"""
-Show how to use a lasso to select a set of points and get the indices
-of the selected points.  A callback is used to change the color of the
-selected points
-
-This is currently a proof-of-concept implementation (though it is
-usable as is).  There will be some refinement of the API.
-"""
-from matplotlib.widgets import Lasso
-from matplotlib.colors import colorConverter
-from matplotlib.collections import RegularPolyCollection
-from matplotlib import path
-
-import matplotlib.pyplot as plt
-from numpy import nonzero
-from numpy.random import rand
-
-
-class Datum(object):
-    colorin = colorConverter.to_rgba('red')
-    colorout = colorConverter.to_rgba('blue')
-
-    def __init__(self, x, y, include=False):
-        self.x = x
-        self.y = y
-        if include:
-            self.color = self.colorin
-        else:
-            self.color = self.colorout
-
-
-class LassoManager(object):
-    def __init__(self, ax, data):
-        self.axes = ax
-        self.canvas = ax.figure.canvas
-        self.data = data
-
-        self.Nxy = len(data)
-
-        facecolors = [d.color for d in data]
-        self.xys = [(d.x, d.y) for d in data]
-        fig = ax.figure
-        self.collection = RegularPolyCollection(
-            fig.dpi, 6, sizes=(100,),
-            facecolors=facecolors,
-            offsets = self.xys,
-            transOffset = ax.transData)
-
-        ax.add_collection(self.collection)
-
-        self.cid = self.canvas.mpl_connect('button_press_event', self.onpress)
-
-    def callback(self, verts):
-        facecolors = self.collection.get_facecolors()
-        p = path.Path(verts)
-        ind = p.contains_points(self.xys)
-        for i in range(len(self.xys)):
-            if ind[i]:
-                facecolors[i] = Datum.colorin
-            else:
-                facecolors[i] = Datum.colorout
-
-        self.canvas.draw_idle()
-        self.canvas.widgetlock.release(self.lasso)
-        del self.lasso
-
-    def onpress(self, event):
-        if self.canvas.widgetlock.locked():
-            return
-        if event.inaxes is None:
-            return
-        self.lasso = Lasso(event.inaxes, (event.xdata, event.ydata), self.callback)
-        # acquire a lock on the widget drawing
-        self.canvas.widgetlock(self.lasso)
-
-if __name__ == '__main__':
-
-    data = [Datum(*xy) for xy in rand(100, 2)]
-
-    ax = plt.axes(xlim=(0, 1), ylim=(0, 1), autoscale_on=False)
-    lman = LassoManager(ax, data)
-
-    plt.show()
diff --git a/examples/event_handling/legend_picking.py b/examples/event_handling/legend_picking.py
deleted file mode 100644
index 1c37ad3c6e85..000000000000
--- a/examples/event_handling/legend_picking.py
+++ /dev/null
@@ -1,45 +0,0 @@
-"""
-Enable picking on the legend to toggle the legended line on and off
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-t = np.arange(0.0, 0.2, 0.1)
-y1 = 2*np.sin(2*np.pi*t)
-y2 = 4*np.sin(2*np.pi*2*t)
-
-fig, ax = plt.subplots()
-ax.set_title('Click on legend line to toggle line on/off')
-line1, = ax.plot(t, y1, lw=2, color='red', label='1 HZ')
-line2, = ax.plot(t, y2, lw=2, color='blue', label='2 HZ')
-leg = ax.legend(loc='upper left', fancybox=True, shadow=True)
-leg.get_frame().set_alpha(0.4)
-
-
-# we will set up a dict mapping legend line to orig line, and enable
-# picking on the legend line
-lines = [line1, line2]
-lined = dict()
-for legline, origline in zip(leg.get_lines(), lines):
-    legline.set_picker(5)  # 5 pts tolerance
-    lined[legline] = origline
-
-
-def onpick(event):
-    # on the pick event, find the orig line corresponding to the
-    # legend proxy line, and toggle the visibility
-    legline = event.artist
-    origline = lined[legline]
-    vis = not origline.get_visible()
-    origline.set_visible(vis)
-    # Change the alpha on the line in the legend so we can see what lines
-    # have been toggled
-    if vis:
-        legline.set_alpha(1.0)
-    else:
-        legline.set_alpha(0.2)
-    fig.canvas.draw()
-
-fig.canvas.mpl_connect('pick_event', onpick)
-
-plt.show()
diff --git a/examples/event_handling/looking_glass.py b/examples/event_handling/looking_glass.py
deleted file mode 100644
index b981a4ec7ff1..000000000000
--- a/examples/event_handling/looking_glass.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-x, y = np.random.rand(2, 200)
-
-fig, ax = plt.subplots()
-circ = patches.Circle((0.5, 0.5), 0.25, alpha=0.8, fc='yellow')
-ax.add_patch(circ)
-
-
-ax.plot(x, y, alpha=0.2)
-line, = ax.plot(x, y, alpha=1.0, clip_path=circ)
-
-
-class EventHandler(object):
-    def __init__(self):
-        fig.canvas.mpl_connect('button_press_event', self.onpress)
-        fig.canvas.mpl_connect('button_release_event', self.onrelease)
-        fig.canvas.mpl_connect('motion_notify_event', self.onmove)
-        self.x0, self.y0 = circ.center
-        self.pressevent = None
-
-    def onpress(self, event):
-        if event.inaxes != ax:
-            return
-
-        if not circ.contains(event)[0]:
-            return
-
-        self.pressevent = event
-
-    def onrelease(self, event):
-        self.pressevent = None
-        self.x0, self.y0 = circ.center
-
-    def onmove(self, event):
-        if self.pressevent is None or event.inaxes != self.pressevent.inaxes:
-            return
-
-        dx = event.xdata - self.pressevent.xdata
-        dy = event.ydata - self.pressevent.ydata
-        circ.center = self.x0 + dx, self.y0 + dy
-        line.set_clip_path(circ)
-        fig.canvas.draw()
-
-handler = EventHandler()
-plt.show()
diff --git a/examples/event_handling/path_editor.py b/examples/event_handling/path_editor.py
deleted file mode 100644
index 3921bf71c8cf..000000000000
--- a/examples/event_handling/path_editor.py
+++ /dev/null
@@ -1,149 +0,0 @@
-import numpy as np
-import matplotlib.path as mpath
-import matplotlib.patches as mpatches
-import matplotlib.pyplot as plt
-
-Path = mpath.Path
-
-fig, ax = plt.subplots()
-
-pathdata = [
-    (Path.MOVETO, (1.58, -2.57)),
-    (Path.CURVE4, (0.35, -1.1)),
-    (Path.CURVE4, (-1.75, 2.0)),
-    (Path.CURVE4, (0.375, 2.0)),
-    (Path.LINETO, (0.85, 1.15)),
-    (Path.CURVE4, (2.2, 3.2)),
-    (Path.CURVE4, (3, 0.05)),
-    (Path.CURVE4, (2.0, -0.5)),
-    (Path.CLOSEPOLY, (1.58, -2.57)),
-    ]
-
-codes, verts = zip(*pathdata)
-path = mpath.Path(verts, codes)
-patch = mpatches.PathPatch(path, facecolor='green', edgecolor='yellow', alpha=0.5)
-ax.add_patch(patch)
-
-
-class PathInteractor(object):
-    """
-    An path editor.
-
-    Key-bindings
-
-      't' toggle vertex markers on and off.  When vertex markers are on,
-          you can move them, delete them
-
-
-    """
-
-    showverts = True
-    epsilon = 5  # max pixel distance to count as a vertex hit
-
-    def __init__(self, pathpatch):
-
-        self.ax = pathpatch.axes
-        canvas = self.ax.figure.canvas
-        self.pathpatch = pathpatch
-        self.pathpatch.set_animated(True)
-
-        x, y = zip(*self.pathpatch.get_path().vertices)
-
-        self.line, = ax.plot(x, y, marker='o', markerfacecolor='r', animated=True)
-
-        self._ind = None  # the active vert
-
-        canvas.mpl_connect('draw_event', self.draw_callback)
-        canvas.mpl_connect('button_press_event', self.button_press_callback)
-        canvas.mpl_connect('key_press_event', self.key_press_callback)
-        canvas.mpl_connect('button_release_event', self.button_release_callback)
-        canvas.mpl_connect('motion_notify_event', self.motion_notify_callback)
-        self.canvas = canvas
-
-    def draw_callback(self, event):
-        self.background = self.canvas.copy_from_bbox(self.ax.bbox)
-        self.ax.draw_artist(self.pathpatch)
-        self.ax.draw_artist(self.line)
-        self.canvas.blit(self.ax.bbox)
-
-    def pathpatch_changed(self, pathpatch):
-        'this method is called whenever the pathpatchgon object is called'
-        # only copy the artist props to the line (except visibility)
-        vis = self.line.get_visible()
-        plt.Artist.update_from(self.line, pathpatch)
-        self.line.set_visible(vis)  # don't use the pathpatch visibility state
-
-    def get_ind_under_point(self, event):
-        'get the index of the vertex under point if within epsilon tolerance'
-
-        # display coords
-        xy = np.asarray(self.pathpatch.get_path().vertices)
-        xyt = self.pathpatch.get_transform().transform(xy)
-        xt, yt = xyt[:, 0], xyt[:, 1]
-        d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2)
-        ind = d.argmin()
-
-        if d[ind] >= self.epsilon:
-            ind = None
-
-        return ind
-
-    def button_press_callback(self, event):
-        'whenever a mouse button is pressed'
-        if not self.showverts:
-            return
-        if event.inaxes is None:
-            return
-        if event.button != 1:
-            return
-        self._ind = self.get_ind_under_point(event)
-
-    def button_release_callback(self, event):
-        'whenever a mouse button is released'
-        if not self.showverts:
-            return
-        if event.button != 1:
-            return
-        self._ind = None
-
-    def key_press_callback(self, event):
-        'whenever a key is pressed'
-        if not event.inaxes:
-            return
-        if event.key == 't':
-            self.showverts = not self.showverts
-            self.line.set_visible(self.showverts)
-            if not self.showverts:
-                self._ind = None
-
-        self.canvas.draw()
-
-    def motion_notify_callback(self, event):
-        'on mouse movement'
-        if not self.showverts:
-            return
-        if self._ind is None:
-            return
-        if event.inaxes is None:
-            return
-        if event.button != 1:
-            return
-        x, y = event.xdata, event.ydata
-
-        vertices = self.pathpatch.get_path().vertices
-
-        vertices[self._ind] = x, y
-        self.line.set_data(zip(*vertices))
-
-        self.canvas.restore_region(self.background)
-        self.ax.draw_artist(self.pathpatch)
-        self.ax.draw_artist(self.line)
-        self.canvas.blit(self.ax.bbox)
-
-
-interactor = PathInteractor(patch)
-ax.set_title('drag vertices to update path')
-ax.set_xlim(-3, 4)
-ax.set_ylim(-3, 4)
-
-plt.show()
diff --git a/examples/event_handling/pick_event_demo.py b/examples/event_handling/pick_event_demo.py
deleted file mode 100755
index bb3f7751901f..000000000000
--- a/examples/event_handling/pick_event_demo.py
+++ /dev/null
@@ -1,175 +0,0 @@
-#!/usr/bin/env python
-
-"""
-
-You can enable picking by setting the "picker" property of an artist
-(for example, a matplotlib Line2D, Text, Patch, Polygon, AxesImage,
-etc...)
-
-There are a variety of meanings of the picker property
-
-    None -  picking is disabled for this artist (default)
-
-    boolean - if True then picking will be enabled and the
-      artist will fire a pick event if the mouse event is over
-      the artist
-
-    float - if picker is a number it is interpreted as an
-      epsilon tolerance in points and the artist will fire
-      off an event if it's data is within epsilon of the mouse
-      event.  For some artists like lines and patch collections,
-      the artist may provide additional data to the pick event
-      that is generated, for example, the indices of the data within
-      epsilon of the pick event
-
-    function - if picker is callable, it is a user supplied
-      function which determines whether the artist is hit by the
-      mouse event.
-
-         hit, props = picker(artist, mouseevent)
-
-      to determine the hit test.  If the mouse event is over the
-      artist, return hit=True and props is a dictionary of properties
-      you want added to the PickEvent attributes
-
-
-After you have enabled an artist for picking by setting the "picker"
-property, you need to connect to the figure canvas pick_event to get
-pick callbacks on mouse press events.  For example,
-
-  def pick_handler(event):
-      mouseevent = event.mouseevent
-      artist = event.artist
-      # now do something with this...
-
-
-The pick event (matplotlib.backend_bases.PickEvent) which is passed to
-your callback is always fired with two attributes:
-
-  mouseevent - the mouse event that generate the pick event.  The
-    mouse event in turn has attributes like x and y (the coordinates in
-    display space, such as pixels from left, bottom) and xdata, ydata (the
-    coords in data space).  Additionally, you can get information about
-    which buttons were pressed, which keys were pressed, which Axes
-    the mouse is over, etc.  See matplotlib.backend_bases.MouseEvent
-    for details.
-
-  artist - the matplotlib.artist that generated the pick event.
-
-Additionally, certain artists like Line2D and PatchCollection may
-attach additional meta data like the indices into the data that meet
-the picker criteria (for example, all the points in the line that are within
-the specified epsilon tolerance)
-
-The examples below illustrate each of these methods.
-"""
-
-from __future__ import print_function
-import matplotlib.pyplot as plt
-from matplotlib.lines import Line2D
-from matplotlib.patches import Rectangle
-from matplotlib.text import Text
-from matplotlib.image import AxesImage
-import numpy as np
-from numpy.random import rand
-
-if 1:  # simple picking, lines, rectangles and text
-    fig, (ax1, ax2) = plt.subplots(2, 1)
-    ax1.set_title('click on points, rectangles or text', picker=True)
-    ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
-    line, = ax1.plot(rand(100), 'o', picker=5)  # 5 points tolerance
-
-    # pick the rectangle
-    bars = ax2.bar(range(10), rand(10), picker=True)
-    for label in ax2.get_xticklabels():  # make the xtick labels pickable
-        label.set_picker(True)
-
-    def onpick1(event):
-        if isinstance(event.artist, Line2D):
-            thisline = event.artist
-            xdata = thisline.get_xdata()
-            ydata = thisline.get_ydata()
-            ind = event.ind
-            print('onpick1 line:', zip(np.take(xdata, ind), np.take(ydata, ind)))
-        elif isinstance(event.artist, Rectangle):
-            patch = event.artist
-            print('onpick1 patch:', patch.get_path())
-        elif isinstance(event.artist, Text):
-            text = event.artist
-            print('onpick1 text:', text.get_text())
-
-    fig.canvas.mpl_connect('pick_event', onpick1)
-
-if 1:  # picking with a custom hit test function
-    # you can define custom pickers by setting picker to a callable
-    # function.  The function has the signature
-    #
-    #  hit, props = func(artist, mouseevent)
-    #
-    # to determine the hit test.  if the mouse event is over the artist,
-    # return hit=True and props is a dictionary of
-    # properties you want added to the PickEvent attributes
-
-    def line_picker(line, mouseevent):
-        """
-        find the points within a certain distance from the mouseclick in
-        data coords and attach some extra attributes, pickx and picky
-        which are the data points that were picked
-        """
-        if mouseevent.xdata is None:
-            return False, dict()
-        xdata = line.get_xdata()
-        ydata = line.get_ydata()
-        maxd = 0.05
-        d = np.sqrt((xdata - mouseevent.xdata)**2. + (ydata - mouseevent.ydata)**2.)
-
-        ind = np.nonzero(np.less_equal(d, maxd))
-        if len(ind):
-            pickx = np.take(xdata, ind)
-            picky = np.take(ydata, ind)
-            props = dict(ind=ind, pickx=pickx, picky=picky)
-            return True, props
-        else:
-            return False, dict()
-
-    def onpick2(event):
-        print('onpick2 line:', event.pickx, event.picky)
-
-    fig, ax = plt.subplots()
-    ax.set_title('custom picker for line data')
-    line, = ax.plot(rand(100), rand(100), 'o', picker=line_picker)
-    fig.canvas.mpl_connect('pick_event', onpick2)
-
-
-if 1:  # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
-
-    x, y, c, s = rand(4, 100)
-
-    def onpick3(event):
-        ind = event.ind
-        print('onpick3 scatter:', ind, np.take(x, ind), np.take(y, ind))
-
-    fig, ax = plt.subplots()
-    col = ax.scatter(x, y, 100*s, c, picker=True)
-    #fig.savefig('pscoll.eps')
-    fig.canvas.mpl_connect('pick_event', onpick3)
-
-if 1:  # picking images (matplotlib.image.AxesImage)
-    fig, ax = plt.subplots()
-    im1 = ax.imshow(rand(10, 5), extent=(1, 2, 1, 2), picker=True)
-    im2 = ax.imshow(rand(5, 10), extent=(3, 4, 1, 2), picker=True)
-    im3 = ax.imshow(rand(20, 25), extent=(1, 2, 3, 4), picker=True)
-    im4 = ax.imshow(rand(30, 12), extent=(3, 4, 3, 4), picker=True)
-    ax.axis([0, 5, 0, 5])
-
-    def onpick4(event):
-        artist = event.artist
-        if isinstance(artist, AxesImage):
-            im = artist
-            A = im.get_array()
-            print('onpick4 image', A.shape)
-
-    fig.canvas.mpl_connect('pick_event', onpick4)
-
-
-plt.show()
diff --git a/examples/event_handling/pick_event_demo2.py b/examples/event_handling/pick_event_demo2.py
deleted file mode 100644
index 0e103ebbad8c..000000000000
--- a/examples/event_handling/pick_event_demo2.py
+++ /dev/null
@@ -1,40 +0,0 @@
-"""
-compute the mean and standard deviation (stddev) of 100 data sets and plot
-mean vs stddev.  When you click on one of the mu, sigma points, plot the raw
-data from the dataset that generated the mean and stddev.
-"""
-import numpy
-import matplotlib.pyplot as plt
-
-
-X = numpy.random.rand(100, 1000)
-xs = numpy.mean(X, axis=1)
-ys = numpy.std(X, axis=1)
-
-fig, ax = plt.subplots()
-ax.set_title('click on point to plot time series')
-line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
-
-
-def onpick(event):
-
-    if event.artist != line:
-        return True
-
-    N = len(event.ind)
-    if not N:
-        return True
-
-    figi = plt.figure()
-    for subplotnum, dataind in enumerate(event.ind):
-        ax = figi.add_subplot(N, 1, subplotnum + 1)
-        ax.plot(X[dataind])
-        ax.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]),
-                transform=ax.transAxes, va='top')
-        ax.set_ylim(-0.5, 1.5)
-    figi.show()
-    return True
-
-fig.canvas.mpl_connect('pick_event', onpick)
-
-plt.show()
diff --git a/examples/event_handling/pipong.py b/examples/event_handling/pipong.py
deleted file mode 100755
index 770db720ff61..000000000000
--- a/examples/event_handling/pipong.py
+++ /dev/null
@@ -1,266 +0,0 @@
-#!/usr/bin/env python
-# A matplotlib based game of Pong illustrating one way to write interactive
-# animation which are easily ported to multiple backends
-# pipong.py was written by Paul Ivanov <http://pirsquared.org>
-
-from __future__ import print_function
-
-import numpy as np
-import matplotlib.pyplot as plt
-from numpy.random import randn, randint
-
-instructions = """
-Player A:       Player B:
-  'e'      up     'i'
-  'd'     down    'k'
-
-press 't' -- close these instructions
-            (animation will be much faster)
-press 'a' -- add a puck
-press 'A' -- remove a puck
-press '1' -- slow down all pucks
-press '2' -- speed up all pucks
-press '3' -- slow down distractors
-press '4' -- speed up distractors
-press ' ' -- reset the first puck
-press 'n' -- toggle distractors on/off
-press 'g' -- toggle the game on/off
-
-  """
-
-
-class Pad(object):
-    def __init__(self, disp, x, y, type='l'):
-        self.disp = disp
-        self.x = x
-        self.y = y
-        self.w = .3
-        self.score = 0
-        self.xoffset = 0.3
-        self.yoffset = 0.1
-        if type == 'r':
-            self.xoffset *= -1.0
-
-        if type == 'l' or type == 'r':
-            self.signx = -1.0
-            self.signy = 1.0
-        else:
-            self.signx = 1.0
-            self.signy = -1.0
-
-    def contains(self, loc):
-        return self.disp.get_bbox().contains(loc.x, loc.y)
-
-
-class Puck(object):
-    def __init__(self, disp, pad, field):
-        self.vmax = .2
-        self.disp = disp
-        self.field = field
-        self._reset(pad)
-
-    def _reset(self, pad):
-        self.x = pad.x + pad.xoffset
-        if pad.y < 0:
-            self.y = pad.y + pad.yoffset
-        else:
-            self.y = pad.y - pad.yoffset
-        self.vx = pad.x - self.x
-        self.vy = pad.y + pad.w/2 - self.y
-        self._speedlimit()
-        self._slower()
-        self._slower()
-
-    def update(self, pads):
-        self.x += self.vx
-        self.y += self.vy
-        for pad in pads:
-            if pad.contains(self):
-                self.vx *= 1.2 * pad.signx
-                self.vy *= 1.2 * pad.signy
-        fudge = .001
-        # probably cleaner with something like...
-        #if not self.field.contains(self.x, self.y):
-        if self.x < fudge:
-            #print("player A loses")
-            pads[1].score += 1
-            self._reset(pads[0])
-            return True
-        if self.x > 7 - fudge:
-            #print("player B loses")
-            pads[0].score += 1
-            self._reset(pads[1])
-            return True
-        if self.y < -1 + fudge or self.y > 1 - fudge:
-            self.vy *= -1.0
-            # add some randomness, just to make it interesting
-            self.vy -= (randn()/300.0 + 1/300.0) * np.sign(self.vy)
-        self._speedlimit()
-        return False
-
-    def _slower(self):
-        self.vx /= 5.0
-        self.vy /= 5.0
-
-    def _faster(self):
-        self.vx *= 5.0
-        self.vy *= 5.0
-
-    def _speedlimit(self):
-        if self.vx > self.vmax:
-            self.vx = self.vmax
-        if self.vx < -self.vmax:
-            self.vx = -self.vmax
-
-        if self.vy > self.vmax:
-            self.vy = self.vmax
-        if self.vy < -self.vmax:
-            self.vy = -self.vmax
-
-
-class Game(object):
-    def __init__(self, ax):
-        # create the initial line
-        self.ax = ax
-        padAx = padBx = .50
-        padAy = padBy = .30
-        padBx += 6.3
-        pA, = self.ax.barh(padAy, .2, height=.3, color='k', alpha=.5, edgecolor='b', lw=2, label="Player B", animated=True)
-        pB, = self.ax.barh(padBy, .2, height=.3, left=padBx, color='k', alpha=.5, edgecolor='r', lw=2, label="Player A", animated=True)
-
-        # distractors
-        self.x = np.arange(0, 2.22*np.pi, 0.01)
-        self.line, = self.ax.plot(self.x, np.sin(self.x), "r", animated=True, lw=4)
-        self.line2, = self.ax.plot(self.x, np.cos(self.x), "g", animated=True, lw=4)
-        self.line3, = self.ax.plot(self.x, np.cos(self.x), "g", animated=True, lw=4)
-        self.line4, = self.ax.plot(self.x, np.cos(self.x), "r", animated=True, lw=4)
-        self.centerline, = self.ax.plot([3.5, 3.5], [1, -1], 'k', alpha=.5, animated=True, lw=8)
-        self.puckdisp = self.ax.scatter([1], [1], label='_nolegend_', s=200, c='g', alpha=.9, animated=True)
-
-        self.canvas = self.ax.figure.canvas
-        self.background = None
-        self.cnt = 0
-        self.distract = True
-        self.res = 100.0
-        self.on = False
-        self.inst = True    # show instructions from the beginning
-        self.background = None
-        self.pads = []
-        self.pads.append(Pad(pA, 0, padAy))
-        self.pads.append(Pad(pB, padBx, padBy, 'r'))
-        self.pucks = []
-        self.i = self.ax.annotate(instructions, (.5, 0.5),
-                                  name='monospace',
-                                  verticalalignment='center',
-                                  horizontalalignment='center',
-                                  multialignment='left',
-                                  textcoords='axes fraction', animated=True)
-        self.canvas.mpl_connect('key_press_event', self.key_press)
-
-    def draw(self, evt):
-        draw_artist = self.ax.draw_artist
-        if self.background is None:
-            self.background = self.canvas.copy_from_bbox(self.ax.bbox)
-
-        # restore the clean slate background
-        self.canvas.restore_region(self.background)
-
-        # show the distractors
-        if self.distract:
-            self.line.set_ydata(np.sin(self.x + self.cnt/self.res))
-            self.line2.set_ydata(np.cos(self.x - self.cnt/self.res))
-            self.line3.set_ydata(np.tan(self.x + self.cnt/self.res))
-            self.line4.set_ydata(np.tan(self.x - self.cnt/self.res))
-            draw_artist(self.line)
-            draw_artist(self.line2)
-            draw_artist(self.line3)
-            draw_artist(self.line4)
-
-        # show the instructions - this is very slow
-        if self.inst:
-            self.ax.draw_artist(self.i)
-
-        # pucks and pads
-        if self.on:
-            self.ax.draw_artist(self.centerline)
-            for pad in self.pads:
-                pad.disp.set_y(pad.y)
-                pad.disp.set_x(pad.x)
-                self.ax.draw_artist(pad.disp)
-
-            for puck in self.pucks:
-                if puck.update(self.pads):
-                    # we only get here if someone scored
-                    self.pads[0].disp.set_label("   " + str(self.pads[0].score))
-                    self.pads[1].disp.set_label("   " + str(self.pads[1].score))
-                    self.ax.legend(loc='center')
-                    self.leg = self.ax.get_legend()
-                    #self.leg.draw_frame(False) #don't draw the legend border
-                    self.leg.get_frame().set_alpha(.2)
-                    plt.setp(self.leg.get_texts(), fontweight='bold', fontsize='xx-large')
-                    self.leg.get_frame().set_facecolor('0.2')
-                    self.background = None
-                    self.ax.figure.canvas.draw()
-                    return True
-                puck.disp.set_offsets([puck.x, puck.y])
-                self.ax.draw_artist(puck.disp)
-
-        # just redraw the axes rectangle
-        self.canvas.blit(self.ax.bbox)
-
-        if self.cnt == 50000:
-            # just so we don't get carried away
-            print("...and you've been playing for too long!!!")
-            plt.close()
-
-        self.cnt += 1
-        return True
-
-    def key_press(self, event):
-        if event.key == '3':
-            self.res *= 5.0
-        if event.key == '4':
-            self.res /= 5.0
-
-        if event.key == 'e':
-            self.pads[0].y += .1
-            if self.pads[0].y > 1 - .3:
-                self.pads[0].y = 1 - .3
-        if event.key == 'd':
-            self.pads[0].y -= .1
-            if self.pads[0].y < -1:
-                self.pads[0].y = -1
-
-        if event.key == 'i':
-            self.pads[1].y += .1
-            if self.pads[1].y > 1 - .3:
-                self.pads[1].y = 1 - .3
-        if event.key == 'k':
-            self.pads[1].y -= .1
-            if self.pads[1].y < -1:
-                self.pads[1].y = -1
-
-        if event.key == 'a':
-            self.pucks.append(Puck(self.puckdisp, self.pads[randint(2)], self.ax.bbox))
-        if event.key == 'A' and len(self.pucks):
-            self.pucks.pop()
-        if event.key == ' ' and len(self.pucks):
-            self.pucks[0]._reset(self.pads[randint(2)])
-        if event.key == '1':
-            for p in self.pucks:
-                p._slower()
-        if event.key == '2':
-            for p in self.pucks:
-                p._faster()
-
-        if event.key == 'n':
-            self.distract = not self.distract
-
-        if event.key == 'g':
-            #self.ax.clear()
-            self.on = not self.on
-        if event.key == 't':
-            self.inst = not self.inst
-            self.i.set_visible(self.i.get_visible())
-        if event.key == 'q':
-            plt.close()
diff --git a/examples/event_handling/poly_editor.py b/examples/event_handling/poly_editor.py
deleted file mode 100644
index 78510f8d5f3c..000000000000
--- a/examples/event_handling/poly_editor.py
+++ /dev/null
@@ -1,172 +0,0 @@
-"""
-This is an example to show how to build cross-GUI applications using
-matplotlib event handling to interact with objects on the canvas
-
-"""
-import numpy as np
-from matplotlib.lines import Line2D
-from matplotlib.artist import Artist
-from matplotlib.mlab import dist_point_to_segment
-
-
-class PolygonInteractor(object):
-    """
-    An polygon editor.
-
-    Key-bindings
-
-      't' toggle vertex markers on and off.  When vertex markers are on,
-          you can move them, delete them
-
-      'd' delete the vertex under point
-
-      'i' insert a vertex at point.  You must be within epsilon of the
-          line connecting two existing vertices
-
-    """
-
-    showverts = True
-    epsilon = 5  # max pixel distance to count as a vertex hit
-
-    def __init__(self, ax, poly):
-        if poly.figure is None:
-            raise RuntimeError('You must first add the polygon to a figure or canvas before defining the interactor')
-        self.ax = ax
-        canvas = poly.figure.canvas
-        self.poly = poly
-
-        x, y = zip(*self.poly.xy)
-        self.line = Line2D(x, y, marker='o', markerfacecolor='r', animated=True)
-        self.ax.add_line(self.line)
-        #self._update_line(poly)
-
-        cid = self.poly.add_callback(self.poly_changed)
-        self._ind = None  # the active vert
-
-        canvas.mpl_connect('draw_event', self.draw_callback)
-        canvas.mpl_connect('button_press_event', self.button_press_callback)
-        canvas.mpl_connect('key_press_event', self.key_press_callback)
-        canvas.mpl_connect('button_release_event', self.button_release_callback)
-        canvas.mpl_connect('motion_notify_event', self.motion_notify_callback)
-        self.canvas = canvas
-
-    def draw_callback(self, event):
-        self.background = self.canvas.copy_from_bbox(self.ax.bbox)
-        self.ax.draw_artist(self.poly)
-        self.ax.draw_artist(self.line)
-        self.canvas.blit(self.ax.bbox)
-
-    def poly_changed(self, poly):
-        'this method is called whenever the polygon object is called'
-        # only copy the artist props to the line (except visibility)
-        vis = self.line.get_visible()
-        Artist.update_from(self.line, poly)
-        self.line.set_visible(vis)  # don't use the poly visibility state
-
-    def get_ind_under_point(self, event):
-        'get the index of the vertex under point if within epsilon tolerance'
-
-        # display coords
-        xy = np.asarray(self.poly.xy)
-        xyt = self.poly.get_transform().transform(xy)
-        xt, yt = xyt[:, 0], xyt[:, 1]
-        d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2)
-        indseq = np.nonzero(np.equal(d, np.amin(d)))[0]
-        ind = indseq[0]
-
-        if d[ind] >= self.epsilon:
-            ind = None
-
-        return ind
-
-    def button_press_callback(self, event):
-        'whenever a mouse button is pressed'
-        if not self.showverts:
-            return
-        if event.inaxes is None:
-            return
-        if event.button != 1:
-            return
-        self._ind = self.get_ind_under_point(event)
-
-    def button_release_callback(self, event):
-        'whenever a mouse button is released'
-        if not self.showverts:
-            return
-        if event.button != 1:
-            return
-        self._ind = None
-
-    def key_press_callback(self, event):
-        'whenever a key is pressed'
-        if not event.inaxes:
-            return
-        if event.key == 't':
-            self.showverts = not self.showverts
-            self.line.set_visible(self.showverts)
-            if not self.showverts:
-                self._ind = None
-        elif event.key == 'd':
-            ind = self.get_ind_under_point(event)
-            if ind is not None:
-                self.poly.xy = [tup for i, tup in enumerate(self.poly.xy) if i != ind]
-                self.line.set_data(zip(*self.poly.xy))
-        elif event.key == 'i':
-            xys = self.poly.get_transform().transform(self.poly.xy)
-            p = event.x, event.y  # display coords
-            for i in range(len(xys) - 1):
-                s0 = xys[i]
-                s1 = xys[i + 1]
-                d = dist_point_to_segment(p, s0, s1)
-                if d <= self.epsilon:
-                    self.poly.xy = np.array(
-                        list(self.poly.xy[:i]) +
-                        [(event.xdata, event.ydata)] +
-                        list(self.poly.xy[i:]))
-                    self.line.set_data(zip(*self.poly.xy))
-                    break
-
-        self.canvas.draw()
-
-    def motion_notify_callback(self, event):
-        'on mouse movement'
-        if not self.showverts:
-            return
-        if self._ind is None:
-            return
-        if event.inaxes is None:
-            return
-        if event.button != 1:
-            return
-        x, y = event.xdata, event.ydata
-
-        self.poly.xy[self._ind] = x, y
-        self.line.set_data(zip(*self.poly.xy))
-
-        self.canvas.restore_region(self.background)
-        self.ax.draw_artist(self.poly)
-        self.ax.draw_artist(self.line)
-        self.canvas.blit(self.ax.bbox)
-
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-    from matplotlib.patches import Polygon
-
-    theta = np.arange(0, 2*np.pi, 0.1)
-    r = 1.5
-
-    xs = r*np.cos(theta)
-    ys = r*np.sin(theta)
-
-    poly = Polygon(list(zip(xs, ys)), animated=True)
-
-    fig, ax = plt.subplots()
-    ax.add_patch(poly)
-    p = PolygonInteractor(ax, poly)
-
-    #ax.add_line(p.line)
-    ax.set_title('Click and drag a point to move it')
-    ax.set_xlim((-2, 2))
-    ax.set_ylim((-2, 2))
-    plt.show()
diff --git a/examples/event_handling/pong_gtk.py b/examples/event_handling/pong_gtk.py
deleted file mode 100755
index f522f28b7fd2..000000000000
--- a/examples/event_handling/pong_gtk.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-
-# For detailed comments on animation and the techniques used here, see
-# the wiki entry
-# http://www.scipy.org/wikis/topical_software/MatplotlibAnimation
-import time
-
-import gobject
-
-import matplotlib
-matplotlib.use('GTKAgg')
-
-import matplotlib.pyplot as plt
-import pipong
-
-
-fig, ax = plt.subplots()
-canvas = ax.figure.canvas
-
-
-def start_anim(event):
-    # gobject.idle_add(animation.draw,animation)
-    gobject.timeout_add(10, animation.draw, animation)
-    canvas.mpl_disconnect(start_anim.cid)
-
-animation = pipong.Game(ax)
-start_anim.cid = canvas.mpl_connect('draw_event', start_anim)
-
-
-tstart = time.time()
-plt.grid()  # to ensure proper background restore
-plt.show()
-print('FPS: %f' % animation.cnt/(time.time() - tstart))
diff --git a/examples/event_handling/resample.py b/examples/event_handling/resample.py
deleted file mode 100644
index f8f398bb118a..000000000000
--- a/examples/event_handling/resample.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from scikits.audiolab import wavread
-
-
-# A class that will downsample the data and recompute when zoomed.
-class DataDisplayDownsampler(object):
-    def __init__(self, xdata, ydata):
-        self.origYData = ydata
-        self.origXData = xdata
-        self.numpts = 3000
-        self.delta = xdata[-1] - xdata[0]
-
-    def resample(self, xstart, xend):
-        # Very simple downsampling that takes the points within the range
-        # and picks every Nth point
-        mask = (self.origXData > xstart) & (self.origXData < xend)
-        xdata = self.origXData[mask]
-        ratio = int(xdata.size / self.numpts) + 1
-        xdata = xdata[::ratio]
-
-        ydata = self.origYData[mask]
-        ydata = ydata[::ratio]
-
-        return xdata, ydata
-
-    def update(self, ax):
-        # Update the line
-        lims = ax.viewLim
-        if np.abs(lims.width - self.delta) > 1e-8:
-            self.delta = lims.width
-            xstart, xend = lims.intervalx
-            self.line.set_data(*self.downsample(xstart, xend))
-            ax.figure.canvas.draw_idle()
-
-# Read data
-data = wavread('/usr/share/sounds/purple/receive.wav')[0]
-ydata = np.tile(data[:, 0], 100)
-xdata = np.arange(ydata.size)
-
-d = DataDisplayDownsampler(xdata, ydata)
-
-fig, ax = plt.subplots()
-
-# Hook up the line
-xdata, ydata = d.downsample(xdata[0], xdata[-1])
-d.line, = ax.plot(xdata, ydata)
-ax.set_autoscale_on(False)  # Otherwise, infinite loop
-
-# Connect for changing the view limits
-ax.callbacks.connect('xlim_changed', d.update)
-
-plt.show()
diff --git a/examples/event_handling/test_mouseclicks.py b/examples/event_handling/test_mouseclicks.py
deleted file mode 100755
index 506ee5b1cd7b..000000000000
--- a/examples/event_handling/test_mouseclicks.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-from __future__ import print_function
-
-import matplotlib
-#matplotlib.use("WxAgg")
-#matplotlib.use("TkAgg")
-#matplotlib.use("GTKAgg")
-#matplotlib.use("Qt4Agg")
-#matplotlib.use("CocoaAgg")
-#matplotlib.use("MacOSX")
-import matplotlib.pyplot as plt
-
-#print("***** TESTING WITH BACKEND: %s"%matplotlib.get_backend() + " *****")
-
-
-def OnClick(event):
-    if event.dblclick:
-        print("DBLCLICK", event)
-    else:
-        print("DOWN    ", event)
-
-
-def OnRelease(event):
-    print("UP      ", event)
-
-
-fig = plt.gcf()
-cid_up = fig.canvas.mpl_connect('button_press_event', OnClick)
-cid_down = fig.canvas.mpl_connect('button_release_event', OnRelease)
-
-plt.gca().text(0.5, 0.5, "Click on the canvas to test mouse events.",
-               ha="center", va="center")
-
-plt.show()
diff --git a/examples/event_handling/timers.py b/examples/event_handling/timers.py
deleted file mode 100644
index b9e67e22348c..000000000000
--- a/examples/event_handling/timers.py
+++ /dev/null
@@ -1,29 +0,0 @@
-# Simple example of using general timer objects. This is used to update
-# the time placed in the title of the figure.
-import matplotlib.pyplot as plt
-import numpy as np
-from datetime import datetime
-
-
-def update_title(axes):
-    axes.set_title(datetime.now())
-    axes.figure.canvas.draw()
-
-fig, ax = plt.subplots()
-
-x = np.linspace(-3, 3)
-ax.plot(x, x*x)
-
-# Create a new timer object. Set the interval to 100 milliseconds
-# (1000 is default) and tell the timer what function should be called.
-timer = fig.canvas.new_timer(interval=100)
-timer.add_callback(update_title, ax)
-timer.start()
-
-# Or could start the timer on first figure draw
-#def start_timer(evt):
-#    timer.start()
-#    fig.canvas.mpl_disconnect(drawid)
-#drawid = fig.canvas.mpl_connect('draw_event', start_timer)
-
-plt.show()
diff --git a/examples/event_handling/trifinder_event_demo.py b/examples/event_handling/trifinder_event_demo.py
deleted file mode 100644
index fd7ccc77d400..000000000000
--- a/examples/event_handling/trifinder_event_demo.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""
-Example showing the use of a TriFinder object.  As the mouse is moved over the
-triangulation, the triangle under the cursor is highlighted and the index of
-the triangle is displayed in the plot title.
-"""
-import matplotlib.pyplot as plt
-from matplotlib.tri import Triangulation
-from matplotlib.patches import Polygon
-import numpy as np
-import math
-
-
-def update_polygon(tri):
-    if tri == -1:
-        points = [0, 0, 0]
-    else:
-        points = triangulation.triangles[tri]
-    xs = triangulation.x[points]
-    ys = triangulation.y[points]
-    polygon.set_xy(zip(xs, ys))
-
-
-def motion_notify(event):
-    if event.inaxes is None:
-        tri = -1
-    else:
-        tri = trifinder(event.xdata, event.ydata)
-    update_polygon(tri)
-    plt.title('In triangle %i' % tri)
-    event.canvas.draw()
-
-
-# Create a Triangulation.
-n_angles = 16
-n_radii = 5
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi / n_angles
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-triangulation = Triangulation(x, y)
-xmid = x[triangulation.triangles].mean(axis=1)
-ymid = y[triangulation.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triangulation.set_mask(mask)
-
-# Use the triangulation's default TriFinder object.
-trifinder = triangulation.get_trifinder()
-
-# Setup plot and callbacks.
-plt.subplot(111, aspect='equal')
-plt.triplot(triangulation, 'bo-')
-polygon = Polygon([[0, 0], [0, 0]], facecolor='y')  # dummy data for xs,ys
-update_polygon(-1)
-plt.gca().add_patch(polygon)
-plt.gcf().canvas.mpl_connect('motion_notify_event', motion_notify)
-plt.show()
diff --git a/examples/event_handling/viewlims.py b/examples/event_handling/viewlims.py
deleted file mode 100644
index 7f0a628d1238..000000000000
--- a/examples/event_handling/viewlims.py
+++ /dev/null
@@ -1,78 +0,0 @@
-# Creates two identical panels.  Zooming in on the right panel will show
-# a rectangle in the first panel, denoting the zoomed region.
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.patches import Rectangle
-
-
-# We just subclass Rectangle so that it can be called with an Axes
-# instance, causing the rectangle to update its shape to match the
-# bounds of the Axes
-class UpdatingRect(Rectangle):
-    def __call__(self, ax):
-        self.set_bounds(*ax.viewLim.bounds)
-        ax.figure.canvas.draw_idle()
-
-
-# A class that will regenerate a fractal set as we zoom in, so that you
-# can actually see the increasing detail.  A box in the left panel will show
-# the area to which we are zoomed.
-class MandlebrotDisplay(object):
-    def __init__(self, h=500, w=500, niter=50, radius=2., power=2):
-        self.height = h
-        self.width = w
-        self.niter = niter
-        self.radius = radius
-        self.power = power
-
-    def __call__(self, xstart, xend, ystart, yend):
-        self.x = np.linspace(xstart, xend, self.width)
-        self.y = np.linspace(ystart, yend, self.height).reshape(-1, 1)
-        c = self.x + 1.0j * self.y
-        threshold_time = np.zeros((self.height, self.width))
-        z = np.zeros(threshold_time.shape, dtype=np.complex)
-        mask = np.ones(threshold_time.shape, dtype=np.bool)
-        for i in range(self.niter):
-            z[mask] = z[mask]**self.power + c[mask]
-            mask = (np.abs(z) < self.radius)
-            threshold_time += mask
-        return threshold_time
-
-    def ax_update(self, ax):
-        ax.set_autoscale_on(False)  # Otherwise, infinite loop
-
-        # Get the number of points from the number of pixels in the window
-        dims = ax.axesPatch.get_window_extent().bounds
-        self.width = int(dims[2] + 0.5)
-        self.height = int(dims[2] + 0.5)
-
-        # Get the range for the new area
-        xstart, ystart, xdelta, ydelta = ax.viewLim.bounds
-        xend = xstart + xdelta
-        yend = ystart + ydelta
-
-        # Update the image object with our new data and extent
-        im = ax.images[-1]
-        im.set_data(self.__call__(xstart, xend, ystart, yend))
-        im.set_extent((xstart, xend, ystart, yend))
-        ax.figure.canvas.draw_idle()
-
-md = MandlebrotDisplay()
-Z = md(-2., 0.5, -1.25, 1.25)
-
-fig1, (ax1, ax2) = plt.subplots(1, 2)
-ax1.imshow(Z, origin='lower', extent=(md.x.min(), md.x.max(), md.y.min(), md.y.max()))
-ax2.imshow(Z, origin='lower', extent=(md.x.min(), md.x.max(), md.y.min(), md.y.max()))
-
-rect = UpdatingRect([0, 0], 0, 0, facecolor='None', edgecolor='black')
-rect.set_bounds(*ax2.viewLim.bounds)
-ax1.add_patch(rect)
-
-# Connect for changing the view limits
-ax2.callbacks.connect('xlim_changed', rect)
-ax2.callbacks.connect('ylim_changed', rect)
-
-ax2.callbacks.connect('xlim_changed', md.ax_update)
-ax2.callbacks.connect('ylim_changed', md.ax_update)
-
-plt.show()
diff --git a/examples/event_handling/zoom_window.py b/examples/event_handling/zoom_window.py
deleted file mode 100644
index 130074aaa1bb..000000000000
--- a/examples/event_handling/zoom_window.py
+++ /dev/null
@@ -1,39 +0,0 @@
-"""
-This example shows how to connect events in one window, for example, a mouse
-press, to another figure window.
-
-If you click on a point in the first window, the z and y limits of the
-second will be adjusted so that the center of the zoom in the second
-window will be the x,y coordinates of the clicked point.
-
-Note the diameter of the circles in the scatter are defined in
-points**2, so their size is independent of the zoom
-"""
-from matplotlib.pyplot import figure, show
-import numpy
-figsrc = figure()
-figzoom = figure()
-
-axsrc = figsrc.add_subplot(111, xlim=(0, 1), ylim=(0, 1), autoscale_on=False)
-axzoom = figzoom.add_subplot(111, xlim=(0.45, 0.55), ylim=(0.4, .6),
-                             autoscale_on=False)
-axsrc.set_title('Click to zoom')
-axzoom.set_title('zoom window')
-x, y, s, c = numpy.random.rand(4, 200)
-s *= 200
-
-
-axsrc.scatter(x, y, s, c)
-axzoom.scatter(x, y, s, c)
-
-
-def onpress(event):
-    if event.button != 1:
-        return
-    x, y = event.xdata, event.ydata
-    axzoom.set_xlim(x - 0.1, x + 0.1)
-    axzoom.set_ylim(y - 0.1, y + 0.1)
-    figzoom.canvas.draw()
-
-figsrc.canvas.mpl_connect('button_press_event', onpress)
-show()
diff --git a/examples/images_contours_and_fields/image_demo.py b/examples/images_contours_and_fields/image_demo.py
deleted file mode 100644
index 96ce3d077fa8..000000000000
--- a/examples/images_contours_and_fields/image_demo.py
+++ /dev/null
@@ -1,12 +0,0 @@
-"""
-Simple demo of the imshow function.
-"""
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-
-image_file = cbook.get_sample_data('ada.png')
-image = plt.imread(image_file)
-
-plt.imshow(image)
-plt.axis('off')  # clear x- and y-axes
-plt.show()
diff --git a/examples/images_contours_and_fields/image_demo_clip_path.py b/examples/images_contours_and_fields/image_demo_clip_path.py
deleted file mode 100644
index 77a7f7718b7f..000000000000
--- a/examples/images_contours_and_fields/image_demo_clip_path.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""
-Demo of image that's been clipped by a circular patch.
-"""
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.cbook as cbook
-
-
-image_file = cbook.get_sample_data('grace_hopper.png')
-image = plt.imread(image_file)
-
-fig, ax = plt.subplots()
-im = ax.imshow(image)
-patch = patches.Circle((260, 200), radius=200, transform=ax.transData)
-im.set_clip_path(patch)
-
-plt.axis('off')
-plt.show()
diff --git a/examples/images_contours_and_fields/interpolation_methods.py b/examples/images_contours_and_fields/interpolation_methods.py
deleted file mode 100644
index eda8cfa7efee..000000000000
--- a/examples/images_contours_and_fields/interpolation_methods.py
+++ /dev/null
@@ -1,32 +0,0 @@
-'''
-Show all different interpolation methods for imshow
-'''
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-# from the docs:
-
-# If interpolation is None, default to rc image.interpolation. See also
-# the filternorm and filterrad parameters. If interpolation is 'none', then
-# no interpolation is performed on the Agg, ps and pdf backends. Other
-# backends will fall back to 'nearest'.
-#
-# http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow
-
-methods = [None, 'none', 'nearest', 'bilinear', 'bicubic', 'spline16',
-           'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
-           'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos']
-
-grid = np.random.rand(4, 4)
-
-fig, axes = plt.subplots(3, 6, figsize=(12, 6),
-                         subplot_kw={'xticks': [], 'yticks': []})
-
-fig.subplots_adjust(hspace=0.3, wspace=0.05)
-
-for ax, interp_method in zip(axes.flat, methods):
-    ax.imshow(grid, interpolation=interp_method)
-    ax.set_title(interp_method)
-
-plt.show()
diff --git a/examples/images_contours_and_fields/interpolation_none_vs_nearest.py b/examples/images_contours_and_fields/interpolation_none_vs_nearest.py
deleted file mode 100644
index 802c2d1e617a..000000000000
--- a/examples/images_contours_and_fields/interpolation_none_vs_nearest.py
+++ /dev/null
@@ -1,62 +0,0 @@
-"""
-Displays the difference between interpolation = 'none' and
-interpolation = 'nearest'.
-
-Interpolation = 'none' and interpolation = 'nearest' are equivalent when
-converting a figure to an image file, such as a PNG.
-Interpolation = 'none' and interpolation = 'nearest' behave quite
-differently, however, when converting a figure to a vector graphics file,
-such as a PDF.  As shown, Interpolation = 'none' works well when a big
-image is scaled down, while interpolation = 'nearest' works well when a
-small image is blown up.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-
-# Load big image
-big_im_path = cbook.get_sample_data('necked_tensile_specimen.png')
-big_im = plt.imread(big_im_path)
-# Define small image
-small_im = np.array([[0.25, 0.75, 1.0, 0.75], [0.1, 0.65, 0.5, 0.4],
-                     [0.6, 0.3, 0.0, 0.2], [0.7, 0.9, 0.4, 0.6]])
-
-# Create a 2x2 table of plots
-fig = plt.figure(figsize=[8.0, 7.5])
-ax = plt.subplot(2, 2, 1)
-ax.imshow(big_im, interpolation='none')
-ax = plt.subplot(2, 2, 2)
-ax.imshow(big_im, interpolation='nearest')
-ax = plt.subplot(2, 2, 3)
-ax.imshow(small_im, interpolation='none')
-ax = plt.subplot(2, 2, 4)
-ax.imshow(small_im, interpolation='nearest')
-plt.subplots_adjust(left=0.24, wspace=0.2, hspace=0.1,
-                    bottom=0.05, top=0.86)
-
-# Label the rows and columns of the table
-fig.text(0.03, 0.645, 'Big Image\nScaled Down', ha='left')
-fig.text(0.03, 0.225, 'Small Image\nBlown Up', ha='left')
-fig.text(0.383, 0.90, "Interpolation = 'none'", ha='center')
-fig.text(0.75, 0.90, "Interpolation = 'nearest'", ha='center')
-
-# If you were going to run this example on your local machine, you
-# would save the figure as a PNG, save the same figure as a PDF, and
-# then compare them.  The following code would suffice.
-txt = fig.text(0.452, 0.95, 'Saved as a PNG', fontsize=18)
-# plt.savefig('None_vs_nearest-png.png')
-# txt.set_text('Saved as a PDF')
-# plt.savefig('None_vs_nearest-pdf.pdf')
-
-# Here, however, we need to display the PDF on a webpage, which means
-# the PDF must be converted into an image.  For the purposes of this
-# example, the 'Nearest_vs_none-pdf.pdf' has been pre-converted into
-#'Nearest_vs_none-pdf.png' at 80 dpi.  We simply need to load and
-# display it.
-pdf_im_path = cbook.get_sample_data('None_vs_nearest-pdf.png')
-pdf_im = plt.imread(pdf_im_path)
-fig2 = plt.figure(figsize=[8.0, 7.5])
-plt.figimage(pdf_im)
-
-plt.show()
diff --git a/examples/images_contours_and_fields/pcolormesh_levels.py b/examples/images_contours_and_fields/pcolormesh_levels.py
deleted file mode 100644
index 0274d4731c80..000000000000
--- a/examples/images_contours_and_fields/pcolormesh_levels.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-Shows how to combine Normalization and Colormap instances to draw
-"levels" in pcolor, pcolormesh and imshow type plots in a similar
-way to the levels keyword argument to contour/contourf.
-
-"""
-
-import matplotlib.pyplot as plt
-from matplotlib.colors import BoundaryNorm
-from matplotlib.ticker import MaxNLocator
-import numpy as np
-
-
-# make these smaller to increase the resolution
-dx, dy = 0.05, 0.05
-
-# generate 2 2d grids for the x & y bounds
-y, x = np.mgrid[slice(1, 5 + dy, dy),
-                slice(1, 5 + dx, dx)]
-
-z = np.sin(x) ** 10 + np.cos(10 + y * x) * np.cos(x)
-
-# x and y are bounds, so z should be the value *inside* those bounds.
-# Therefore, remove the last value from the z array.
-z = z[:-1, :-1]
-levels = MaxNLocator(nbins=15).tick_values(z.min(), z.max())
-
-
-# pick the desired colormap, sensible levels, and define a normalization
-# instance which takes data values and translates those into levels.
-cmap = plt.get_cmap('PiYG')
-norm = BoundaryNorm(levels, ncolors=cmap.N, clip=True)
-
-plt.subplot(2, 1, 1)
-im = plt.pcolormesh(x, y, z, cmap=cmap, norm=norm)
-plt.colorbar()
-# set the limits of the plot to the limits of the data
-plt.axis([x.min(), x.max(), y.min(), y.max()])
-plt.title('pcolormesh with levels')
-
-
-plt.subplot(2, 1, 2)
-# contours are *point* based plots, so convert our bound into point
-# centers
-plt.contourf(x[:-1, :-1] + dx / 2.,
-             y[:-1, :-1] + dy / 2., z, levels=levels,
-             cmap=cmap)
-plt.colorbar()
-plt.title('contourf with levels')
-
-
-plt.show()
diff --git a/examples/images_contours_and_fields/streamplot_demo_features.py b/examples/images_contours_and_fields/streamplot_demo_features.py
deleted file mode 100644
index b04263f8f36d..000000000000
--- a/examples/images_contours_and_fields/streamplot_demo_features.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""
-Demo of the `streamplot` function.
-
-A streamplot, or streamline plot, is used to display 2D vector fields. This
-example shows a few features of the stream plot function:
-
-    * Varying the color along a streamline.
-    * Varying the density of streamlines.
-    * Varying the line width along a stream line.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-Y, X = np.mgrid[-3:3:100j, -3:3:100j]
-U = -1 - X**2 + Y
-V = 1 + X - Y**2
-speed = np.sqrt(U*U + V*V)
-
-plt.streamplot(X, Y, U, V, color=U, linewidth=2, cmap=plt.cm.autumn)
-plt.colorbar()
-
-f, (ax1, ax2) = plt.subplots(ncols=2)
-ax1.streamplot(X, Y, U, V, density=[0.5, 1])
-
-lw = 5*speed/speed.max()
-ax2.streamplot(X, Y, U, V, density=0.6, color='k', linewidth=lw)
-
-plt.show()
diff --git a/examples/images_contours_and_fields/streamplot_demo_masking.py b/examples/images_contours_and_fields/streamplot_demo_masking.py
deleted file mode 100644
index 885a26760cc8..000000000000
--- a/examples/images_contours_and_fields/streamplot_demo_masking.py
+++ /dev/null
@@ -1,26 +0,0 @@
-"""
-Demo of the streamplot function with masking.
-
-This example shows how streamlines created by the streamplot function skips
-masked regions and NaN values.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-w = 3
-Y, X = np.mgrid[-w:w:100j, -w:w:100j]
-U = -1 - X**2 + Y
-V = 1 + X - Y**2
-speed = np.sqrt(U*U + V*V)
-
-mask = np.zeros(U.shape, dtype=bool)
-mask[40:60, 40:60] = 1
-U = np.ma.array(U, mask=mask)
-U[:20, :20] = np.nan
-
-plt.streamplot(X, Y, U, V, color='r')
-
-plt.imshow(~mask, extent=(-w, w, -w, w), alpha=0.5,
-           interpolation='nearest', cmap=plt.cm.gray)
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/barh_demo.py b/examples/lines_bars_and_markers/barh_demo.py
deleted file mode 100644
index 38ab12e72c26..000000000000
--- a/examples/lines_bars_and_markers/barh_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-Simple demo of a horizontal bar chart.
-"""
-import matplotlib.pyplot as plt
-plt.rcdefaults()
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-# Example data
-people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
-y_pos = np.arange(len(people))
-performance = 3 + 10 * np.random.rand(len(people))
-error = np.random.rand(len(people))
-
-plt.barh(y_pos, performance, xerr=error, align='center', alpha=0.4)
-plt.yticks(y_pos, people)
-plt.xlabel('Performance')
-plt.title('How fast do you want to go today?')
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/fill_demo.py b/examples/lines_bars_and_markers/fill_demo.py
deleted file mode 100644
index fff88f2e503a..000000000000
--- a/examples/lines_bars_and_markers/fill_demo.py
+++ /dev/null
@@ -1,13 +0,0 @@
-"""
-Simple demo of the fill function.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x = np.linspace(0, 1)
-y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
-
-plt.fill(x, y, 'r')
-plt.grid(True)
-plt.show()
diff --git a/examples/lines_bars_and_markers/fill_demo_features.py b/examples/lines_bars_and_markers/fill_demo_features.py
deleted file mode 100644
index 230f1631c0ad..000000000000
--- a/examples/lines_bars_and_markers/fill_demo_features.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-Demo of the fill function with a few features.
-
-In addition to the basic fill plot, this demo shows a few optional features:
-
-    * Multiple curves with a single command.
-    * Setting the fill color.
-    * Setting the opacity (alpha value).
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-x = np.linspace(0, 2 * np.pi, 100)
-y1 = np.sin(x)
-y2 = np.sin(3 * x)
-plt.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)
-plt.show()
diff --git a/examples/lines_bars_and_markers/line_demo_dash_control.py b/examples/lines_bars_and_markers/line_demo_dash_control.py
deleted file mode 100644
index 65f21b9c9207..000000000000
--- a/examples/lines_bars_and_markers/line_demo_dash_control.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-Demo of a simple plot with a custom dashed line.
-
-A Line object's ``set_dashes`` method allows you to specify dashes with
-a series of on/off lengths (in points).
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x = np.linspace(0, 10)
-line, = plt.plot(x, np.sin(x), '--', linewidth=2)
-
-dashes = [10, 5, 100, 5]  # 10 points on, 5 off, 100 on, 5 off
-line.set_dashes(dashes)
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/line_styles_reference.py b/examples/lines_bars_and_markers/line_styles_reference.py
deleted file mode 100644
index 625d0a5afde0..000000000000
--- a/examples/lines_bars_and_markers/line_styles_reference.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""
-Reference for line-styles included with Matplotlib.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-color = 'cornflowerblue'
-points = np.ones(5)  # Draw 5 points for each line
-text_style = dict(horizontalalignment='right', verticalalignment='center',
-                  fontsize=12, fontdict={'family': 'monospace'})
-
-
-def format_axes(ax):
-    ax.margins(0.2)
-    ax.set_axis_off()
-
-
-def nice_repr(text):
-    return repr(text).lstrip('u')
-
-
-# Plot all line styles.
-f, ax = plt.subplots()
-
-linestyles = ['-', '--', '-.', ':']
-for y, linestyle in enumerate(linestyles):
-    ax.text(-0.5, y, nice_repr(linestyle), **text_style)
-    ax.plot(y * points, linestyle=linestyle, color=color, linewidth=3)
-    format_axes(ax)
-    ax.set_title('line styles')
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/marker_fillstyle_reference.py b/examples/lines_bars_and_markers/marker_fillstyle_reference.py
deleted file mode 100644
index e7b36e605519..000000000000
--- a/examples/lines_bars_and_markers/marker_fillstyle_reference.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""
-Reference for marker fill-styles included with Matplotlib.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.lines import Line2D
-
-
-points = np.ones(5)  # Draw 3 points for each line
-text_style = dict(horizontalalignment='right', verticalalignment='center',
-                  fontsize=12, fontdict={'family': 'monospace'})
-marker_style = dict(color='cornflowerblue', linestyle=':', marker='o',
-                    markersize=15, markerfacecoloralt='gray')
-
-
-def format_axes(ax):
-    ax.margins(0.2)
-    ax.set_axis_off()
-
-
-def nice_repr(text):
-    return repr(text).lstrip('u')
-
-
-fig, ax = plt.subplots()
-
-# Plot all fill styles.
-for y, fill_style in enumerate(Line2D.fillStyles):
-    ax.text(-0.5, y, nice_repr(fill_style), **text_style)
-    ax.plot(y * points, fillstyle=fill_style, **marker_style)
-    format_axes(ax)
-    ax.set_title('fill style')
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/marker_reference.py b/examples/lines_bars_and_markers/marker_reference.py
deleted file mode 100644
index 81bd3977ae4e..000000000000
--- a/examples/lines_bars_and_markers/marker_reference.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-Reference for filled- and unfilled-marker types included with Matplotlib.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.lines import Line2D
-
-
-points = np.ones(3)  # Draw 3 points for each line
-text_style = dict(horizontalalignment='right', verticalalignment='center',
-                  fontsize=12, fontdict={'family': 'monospace'})
-marker_style = dict(linestyle=':', color='cornflowerblue', markersize=10)
-
-
-def format_axes(ax):
-    ax.margins(0.2)
-    ax.set_axis_off()
-
-
-def nice_repr(text):
-    return repr(text).lstrip('u')
-
-
-def split_list(a_list):
-    i_half = len(a_list) // 2
-    return (a_list[:i_half], a_list[i_half:])
-
-
-# Plot all un-filled markers
-# --------------------------
-
-fig, axes = plt.subplots(ncols=2)
-
-# Filter out filled markers and marker settings that do nothing.
-unfilled_markers = [m for m, func in Line2D.markers.iteritems()
-                    if func != 'nothing' and m not in Line2D.filled_markers]
-unfilled_markers = sorted(unfilled_markers)[::-1]  # Reverse-sort for pretty
-for ax, markers in zip(axes, split_list(unfilled_markers)):
-    for y, marker in enumerate(markers):
-        ax.text(-0.5, y, nice_repr(marker), **text_style)
-        ax.plot(y * points, marker=marker, **marker_style)
-        format_axes(ax)
-fig.suptitle('un-filled markers', fontsize=14)
-
-
-# Plot all filled markers.
-# ------------------------
-
-fig, axes = plt.subplots(ncols=2)
-for ax, markers in zip(axes, split_list(Line2D.filled_markers)):
-    for y, marker in enumerate(markers):
-        ax.text(-0.5, y, nice_repr(marker), **text_style)
-        ax.plot(y * points, marker=marker, **marker_style)
-        format_axes(ax)
-fig.suptitle('filled markers', fontsize=14)
-
-plt.show()
diff --git a/examples/lines_bars_and_markers/scatter_with_legend.py b/examples/lines_bars_and_markers/scatter_with_legend.py
deleted file mode 100644
index c6b35a279563..000000000000
--- a/examples/lines_bars_and_markers/scatter_with_legend.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import matplotlib.pyplot as plt
-from numpy.random import rand
-
-
-for color in ['red', 'green', 'blue']:
-    n = 750
-    x, y = rand(2, n)
-    scale = 200.0 * rand(n)
-    plt.scatter(x, y, c=color, s=scale, label=color,
-                alpha=0.3, edgecolors='none')
-
-plt.legend()
-plt.grid(True)
-
-plt.show()
diff --git a/examples/misc/contour_manual.py b/examples/misc/contour_manual.py
deleted file mode 100644
index 37d06d0b17e8..000000000000
--- a/examples/misc/contour_manual.py
+++ /dev/null
@@ -1,49 +0,0 @@
-"""
-Example of displaying your own contour lines and polygons using ContourSet.
-"""
-import matplotlib.pyplot as plt
-from matplotlib.contour import ContourSet
-import matplotlib.cm as cm
-
-# Contour lines for each level are a list/tuple of polygons.
-lines0 = [[[0, 0], [0, 4]]]
-lines1 = [[[2, 0], [1, 2], [1, 3]]]
-lines2 = [[[3, 0], [3, 2]], [[3, 3], [3, 4]]]  # Note two lines.
-
-# Filled contours between two levels are also a list/tuple of polygons.
-# Points can be ordered clockwise or anticlockwise.
-filled01 = [[[0, 0], [0, 4], [1, 3], [1, 2], [2, 0]]]
-filled12 = [[[2, 0], [3, 0], [3, 2], [1, 3], [1, 2]],   # Note two polygons.
-            [[1, 4], [3, 4], [3, 3]]]
-
-
-plt.figure()
-
-# Filled contours using filled=True.
-cs = ContourSet(plt.gca(), [0, 1, 2], [filled01, filled12], filled=True, cmap=cm.bone)
-cbar = plt.colorbar(cs)
-
-# Contour lines (non-filled).
-lines = ContourSet(plt.gca(), [0, 1, 2], [lines0, lines1, lines2], cmap=cm.cool,
-                   linewidths=3)
-cbar.add_lines(lines)
-
-plt.axis([-0.5, 3.5, -0.5, 4.5])
-plt.title('User-specified contours')
-
-
-# Multiple filled contour lines can be specified in a single list of polygon
-# vertices along with a list of vertex kinds (code types) as described in the
-# Path class.  This is particularly useful for polygons with holes.
-# Here a code type of 1 is a MOVETO, and 2 is a LINETO.
-
-plt.figure()
-filled01 = [[[0, 0], [3, 0], [3, 3], [0, 3], [1, 1], [1, 2], [2, 2], [2, 1]]]
-kinds01 = [[1, 2, 2, 2, 1, 2, 2, 2]]
-cs = ContourSet(plt.gca(), [0, 1], [filled01], [kinds01], filled=True)
-cbar = plt.colorbar(cs)
-
-plt.axis([-0.5, 3.5, -0.5, 3.5])
-plt.title('User specified filled contours with holes')
-
-plt.show()
diff --git a/examples/misc/font_indexing.py b/examples/misc/font_indexing.py
deleted file mode 100644
index a680dcb385f8..000000000000
--- a/examples/misc/font_indexing.py
+++ /dev/null
@@ -1,40 +0,0 @@
-"""
-A little example that shows how the various indexing into the font
-tables relate to one another.  Mainly for mpl developers....
-
-"""
-from __future__ import print_function
-import matplotlib
-from matplotlib.ft2font import FT2Font, KERNING_DEFAULT, KERNING_UNFITTED, KERNING_UNSCALED
-
-
-#fname = '/usr/share/fonts/sfd/FreeSans.ttf'
-fname = matplotlib.get_data_path() + '/fonts/ttf/Vera.ttf'
-font = FT2Font(fname)
-font.set_charmap(0)
-
-codes = font.get_charmap().items()
-#dsu = [(ccode, glyphind) for ccode, glyphind in codes]
-#dsu.sort()
-#for ccode, glyphind in dsu:
-#    try: name = font.get_glyph_name(glyphind)
-#    except RuntimeError: pass
-#    else: print('% 4d % 4d %s %s' % (glyphind, ccode, hex(int(ccode)), name))
-
-
-# make a charname to charcode and glyphind dictionary
-coded = {}
-glyphd = {}
-for ccode, glyphind in codes:
-    name = font.get_glyph_name(glyphind)
-    coded[name] = ccode
-    glyphd[name] = glyphind
-
-code = coded['A']
-glyph = font.load_char(code)
-#print(glyph.bbox)
-print(glyphd['A'], glyphd['V'], coded['A'], coded['V'])
-print('AV', font.get_kerning(glyphd['A'], glyphd['V'], KERNING_DEFAULT))
-print('AV', font.get_kerning(glyphd['A'], glyphd['V'], KERNING_UNFITTED))
-print('AV', font.get_kerning(glyphd['A'], glyphd['V'], KERNING_UNSCALED))
-print('AV', font.get_kerning(glyphd['A'], glyphd['T'], KERNING_UNSCALED))
diff --git a/examples/misc/ftface_props.py b/examples/misc/ftface_props.py
deleted file mode 100755
index 1a821cb531e4..000000000000
--- a/examples/misc/ftface_props.py
+++ /dev/null
@@ -1,67 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-"""
-This is a demo script to show you how to use all the properties of an
-FT2Font object.  These describe global font properties.  For
-individual character metrices, use the Glyp object, as returned by
-load_char
-"""
-import matplotlib
-import matplotlib.ft2font as ft
-
-
-#fname = '/usr/local/share/matplotlib/VeraIt.ttf'
-fname = matplotlib.get_data_path() + '/fonts/ttf/VeraIt.ttf'
-#fname = '/usr/local/share/matplotlib/cmr10.ttf'
-
-font = ft.FT2Font(fname)
-
-print('Num faces   :', font.num_faces)        # number of faces in file
-print('Num glyphs  :', font.num_glyphs)       # number of glyphs in the face
-print('Family name :', font.family_name)      # face family name
-print('Syle name   :', font.style_name)       # face syle name
-print('PS name     :', font.postscript_name)  # the postscript name
-print('Num fixed   :', font.num_fixed_sizes)  # number of embedded bitmap in face
-
-# the following are only available if face.scalable
-if font.scalable:
-    # the face global bounding box (xmin, ymin, xmax, ymax)
-    print('Bbox                :', font.bbox)
-    # number of font units covered by the EM
-    print('EM                  :', font.units_per_EM)
-    # the ascender in 26.6 units
-    print('Ascender            :', font.ascender)
-    # the descender in 26.6 units
-    print('Descender           :', font.descender)
-    # the height in 26.6 units
-    print('Height              :', font.height)
-    # maximum horizontal cursor advance
-    print('Max adv width       :', font.max_advance_width)
-    # same for vertical layout
-    print('Max adv height      :', font.max_advance_height)
-    # vertical position of the underline bar
-    print('Underline pos       :', font.underline_position)
-    # vertical thickness of the underline
-    print('Underline thickness :', font.underline_thickness)
-
-for style in ('Italic',
-              'Bold',
-              'Scalable',
-              'Fixed sizes',
-              'Fixed width',
-              'SFNT',
-              'Horizontal',
-              'Vertical',
-              'Kerning',
-              'Fast glyphs',
-              'Multiple masters',
-              'Glyph names',
-              'External stream'):
-    bitpos = getattr(ft, style.replace(' ', '_').upper()) - 1
-    print('%-17s:' % style, bool(font.style_flags & (1 << bitpos)))
-
-print(dir(font))
-
-cmap = font.get_charmap()
-print(font.get_kerning)
diff --git a/examples/misc/image_thumbnail.py b/examples/misc/image_thumbnail.py
deleted file mode 100644
index 4e3a1dafc032..000000000000
--- a/examples/misc/image_thumbnail.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""
-You can use matplotlib to generate thumbnails from existing images.
-matplotlib natively supports PNG files on the input side, and other
-image types transparently if your have PIL installed
-"""
-
-from __future__ import print_function
-# build thumbnails of all images in a directory
-import sys
-import os
-import glob
-import matplotlib.image as image
-
-
-if len(sys.argv) != 2:
-    print('Usage: python %s IMAGEDIR' % __file__)
-    raise SystemExit
-indir = sys.argv[1]
-if not os.path.isdir(indir):
-    print('Could not find input directory "%s"' % indir)
-    raise SystemExit
-
-outdir = 'thumbs'
-if not os.path.exists(outdir):
-    os.makedirs(outdir)
-
-for fname in glob.glob(os.path.join(indir, '*.png')):
-    basedir, basename = os.path.split(fname)
-    outfile = os.path.join(outdir, basename)
-    fig = image.thumbnail(fname, outfile, scale=0.15)
-    print('saved thumbnail of %s to %s' % (fname, outfile))
diff --git a/examples/misc/longshort.py b/examples/misc/longshort.py
deleted file mode 100644
index 56b121db2cfc..000000000000
--- a/examples/misc/longshort.py
+++ /dev/null
@@ -1,46 +0,0 @@
-"""
-Illustrate the rec array utility funcitons by loading prices from a
-csv file, computing the daily returns, appending the results to the
-record arrays, joining on date
-"""
-import urllib
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.mlab as mlab
-
-# grab the price data off yahoo
-u1 = urllib.urlretrieve('http://ichart.finance.yahoo.com/table.csv?s=AAPL&d=9&e=14&f=2008&g=d&a=8&b=7&c=1984&ignore=.csv')
-u2 = urllib.urlretrieve('http://ichart.finance.yahoo.com/table.csv?s=GOOG&d=9&e=14&f=2008&g=d&a=8&b=7&c=1984&ignore=.csv')
-
-# load the CSV files into record arrays
-r1 = mlab.csv2rec(file(u1[0]))
-r2 = mlab.csv2rec(file(u2[0]))
-
-# compute the daily returns and add these columns to the arrays
-gains1 = np.zeros_like(r1.adj_close)
-gains2 = np.zeros_like(r2.adj_close)
-gains1[1:] = np.diff(r1.adj_close)/r1.adj_close[:-1]
-gains2[1:] = np.diff(r2.adj_close)/r2.adj_close[:-1]
-r1 = mlab.rec_append_fields(r1, 'gains', gains1)
-r2 = mlab.rec_append_fields(r2, 'gains', gains2)
-
-# now join them by date; the default postfixes are 1 and 2.  The
-# default jointype is inner so it will do an intersection of dates and
-# drop the dates in AAPL which occurred before GOOG started trading in
-# 2004.  r1 and r2 are reverse ordered by date since Yahoo returns
-# most recent first in the CSV files, but rec_join will sort by key so
-# r below will be properly sorted
-r = mlab.rec_join('date', r1, r2)
-
-
-# long appl, short goog
-g = r.gains1 - r.gains2
-tr = (1 + g).cumprod()  # the total return
-
-# plot the return
-fig, ax = plt.subplots()
-ax.plot(r.date, tr)
-ax.set_title('total return: long APPL, short GOOG')
-ax.grid()
-fig.autofmt_xdate()
-plt.show()
diff --git a/examples/misc/multiprocess.py b/examples/misc/multiprocess.py
deleted file mode 100644
index febe6202b0d2..000000000000
--- a/examples/misc/multiprocess.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# Demo of using multiprocessing for generating data in one process and plotting
-# in another.
-# Written by Robert Cimrman
-# Requires >= Python 2.6 for the multiprocessing module or having the
-# standalone processing module installed
-
-from __future__ import print_function
-import time
-try:
-    from multiprocessing import Process, Pipe
-except ImportError:
-    from processing import Process, Pipe
-import numpy as np
-
-import matplotlib
-matplotlib.use('GtkAgg')
-import matplotlib.pyplot as plt
-import gobject
-
-
-class ProcessPlotter(object):
-    def __init__(self):
-        self.x = []
-        self.y = []
-
-    def terminate(self):
-        plt.close('all')
-
-    def poll_draw(self):
-
-        def call_back():
-            while 1:
-                if not self.pipe.poll():
-                    break
-
-                command = self.pipe.recv()
-
-                if command is None:
-                    self.terminate()
-                    return False
-
-                else:
-                    self.x.append(command[0])
-                    self.y.append(command[1])
-                    self.ax.plot(self.x, self.y, 'ro')
-
-            self.fig.canvas.draw()
-            return True
-
-        return call_back
-
-    def __call__(self, pipe):
-        print('starting plotter...')
-
-        self.pipe = pipe
-        self.fig, self.ax = plt.subplots()
-        self.gid = gobject.timeout_add(1000, self.poll_draw())
-
-        print('...done')
-        plt.show()
-
-
-class NBPlot(object):
-    def __init__(self):
-        self.plot_pipe, plotter_pipe = Pipe()
-        self.plotter = ProcessPlotter()
-        self.plot_process = Process(target=self.plotter,
-                                    args=(plotter_pipe,))
-        self.plot_process.daemon = True
-        self.plot_process.start()
-
-    def plot(self, finished=False):
-        send = self.plot_pipe.send
-        if finished:
-            send(None)
-        else:
-            data = np.random.random(2)
-            send(data)
-
-
-def main():
-    pl = NBPlot()
-    for ii in range(10):
-        pl.plot()
-        time.sleep(0.5)
-    raw_input('press Enter...')
-    pl.plot(finished=True)
-
-if __name__ == '__main__':
-    main()
diff --git a/examples/misc/rasterization_demo.py b/examples/misc/rasterization_demo.py
deleted file mode 100644
index 067099c56a28..000000000000
--- a/examples/misc/rasterization_demo.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-d = np.arange(100).reshape(10, 10)
-x, y = np.meshgrid(np.arange(11), np.arange(11))
-
-theta = 0.25*np.pi
-xx = x*np.cos(theta) - y*np.sin(theta)
-yy = x*np.sin(theta) + y*np.cos(theta)
-
-fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
-ax1.set_aspect(1)
-ax1.pcolormesh(xx, yy, d)
-ax1.set_title("No Rasterization")
-
-ax2.set_aspect(1)
-ax2.set_title("Rasterization")
-
-m = ax2.pcolormesh(xx, yy, d)
-m.set_rasterized(True)
-
-ax3.set_aspect(1)
-ax3.pcolormesh(xx, yy, d)
-ax3.text(0.5, 0.5, "Text", alpha=0.2,
-         va="center", ha="center", size=50, transform=ax3.transAxes)
-
-ax3.set_title("No Rasterization")
-
-
-ax4.set_aspect(1)
-m = ax4.pcolormesh(xx, yy, d)
-m.set_zorder(-20)
-
-ax4.text(0.5, 0.5, "Text", alpha=0.2,
-         zorder=-15,
-         va="center", ha="center", size=50, transform=ax4.transAxes)
-
-ax4.set_rasterization_zorder(-10)
-
-ax4.set_title("Rasterization z$<-10$")
-
-
-# ax2.title.set_rasterized(True) # should display a warning
-
-plt.savefig("test_rasterization.pdf", dpi=150)
-plt.savefig("test_rasterization.eps", dpi=150)
-
-if not plt.rcParams["text.usetex"]:
-    plt.savefig("test_rasterization.svg", dpi=150)
-    # svg backend currently ignores the dpi
diff --git a/examples/misc/rc_traits.py b/examples/misc/rc_traits.py
deleted file mode 100644
index 45bdbe079af2..000000000000
--- a/examples/misc/rc_traits.py
+++ /dev/null
@@ -1,212 +0,0 @@
-# Here is some example code showing how to define some representative
-# rc properties and construct a matplotlib artist using traits.
-# matplotlib does not ship with enthought.traits, so you will need to
-# install it separately.
-
-from __future__ import print_function
-
-import sys
-import os
-import re
-import traits.api as traits
-from matplotlib.cbook import is_string_like
-from matplotlib.artist import Artist
-
-doprint = True
-flexible_true_trait = traits.Trait(
-   True,
-   {'true': True, 't': True, 'yes': True, 'y': True, 'on': True, True: True,
-    'false': False, 'f': False, 'no': False, 'n': False, 'off': False, False: False
-    })
-flexible_false_trait = traits.Trait(False, flexible_true_trait)
-
-colors = {
-   'c': '#00bfbf',
-   'b': '#0000ff',
-   'g': '#008000',
-   'k': '#000000',
-   'm': '#bf00bf',
-   'r': '#ff0000',
-   'w': '#ffffff',
-   'y': '#bfbf00',
-   'gold':        '#FFD700',
-   'peachpuff':   '#FFDAB9',
-   'navajowhite': '#FFDEAD',
-   }
-
-
-def hex2color(s):
-    "Convert hex string (like html uses, eg, #efefef) to a r,g,b tuple"
-    return tuple([int(n, 16)/255.0 for n in (s[1:3], s[3:5], s[5:7])])
-
-
-class RGBA(traits.HasTraits):
-    # r,g,b,a in the range 0-1 with default color 0,0,0,1 (black)
-    r = traits.Range(0., 1., 0.)
-    g = traits.Range(0., 1., 0.)
-    b = traits.Range(0., 1., 0.)
-    a = traits.Range(0., 1., 1.)
-
-    def __init__(self, r=0., g=0., b=0., a=1.):
-        self.r = r
-        self.g = g
-        self.b = b
-        self.a = a
-
-    def __repr__(self):
-        return 'r,g,b,a = (%1.2f, %1.2f, %1.2f, %1.2f)' %\
-               (self.r, self.g, self.b, self.a)
-
-
-def tuple_to_rgba(ob, name, val):
-    tup = [float(x) for x in val]
-    if len(tup) == 3:
-        r, g, b = tup
-        return RGBA(r, g, b)
-    elif len(tup) == 4:
-        r, g, b, a = tup
-        return RGBA(r, g, b, a)
-    else:
-        raise ValueError
-tuple_to_rgba.info = 'a RGB or RGBA tuple of floats'
-
-
-def hex_to_rgba(ob, name, val):
-    rgx = re.compile('^#[0-9A-Fa-f]{6}$')
-
-    if not is_string_like(val):
-        raise TypeError
-    if rgx.match(val) is None:
-        raise ValueError
-    r, g, b = hex2color(val)
-    return RGBA(r, g, b, 1.0)
-hex_to_rgba.info = 'a hex color string'
-
-
-def colorname_to_rgba(ob, name, val):
-    hex = colors[val.lower()]
-    r, g, b = hex2color(hex)
-    return RGBA(r, g, b, 1.0)
-colorname_to_rgba.info = 'a named color'
-
-
-def float_to_rgba(ob, name, val):
-    val = float(val)
-    return RGBA(val, val, val, 1.)
-float_to_rgba.info = 'a grayscale intensity'
-
-
-Color = traits.Trait(RGBA(), float_to_rgba, colorname_to_rgba, RGBA,
-                     hex_to_rgba, tuple_to_rgba)
-
-
-def file_exists(ob, name, val):
-    fh = file(val, 'r')
-    return val
-
-linestyles = ('-', '--', '-.', ':', 'steps', 'None')
-TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN = range(4)
-linemarkers = (None, '.', ',', 'o', '^', 'v', '<', '>', 's',
-               '+', 'x', 'd', 'D', '|', '_', 'h', 'H',
-               'p', '1', '2', '3', '4',
-               TICKLEFT,
-               TICKRIGHT,
-               TICKUP,
-               TICKDOWN,
-               'None'
-               )
-
-
-class LineRC(traits.HasTraits):
-    linewidth = traits.Float(0.5)
-    linestyle = traits.Trait(*linestyles)
-    color = Color
-    marker = traits.Trait(*linemarkers)
-    markerfacecolor = Color
-    markeredgecolor = Color
-    markeredgewidth = traits.Float(0.5)
-    markersize = traits.Float(6)
-    antialiased = flexible_true_trait
-    data_clipping = flexible_false_trait
-
-
-class PatchRC(traits.HasTraits):
-    linewidth = traits.Float(1.0)
-    facecolor = Color
-    edgecolor = Color
-    antialiased = flexible_true_trait
-
-timezones = 'UTC', 'US/Central', 'ES/Eastern'  # fixme: and many more
-backends = ('GTKAgg', 'Cairo', 'GDK', 'GTK', 'Agg',
-            'GTKCairo', 'PS', 'SVG', 'Template', 'TkAgg',
-            'WX')
-
-
-class RC(traits.HasTraits):
-    backend = traits.Trait(*backends)
-    interactive = flexible_false_trait
-    toolbar = traits.Trait('toolbar2', 'classic', None)
-    timezone = traits.Trait(*timezones)
-    lines = traits.Trait(LineRC())
-    patch = traits.Trait(PatchRC())
-
-rc = RC()
-rc.lines.color = 'r'
-if doprint:
-    print('RC')
-    rc.print_traits()
-    print('RC lines')
-    rc.lines.print_traits()
-    print('RC patches')
-    rc.patch.print_traits()
-
-
-class Patch(Artist, traits.HasTraits):
-    linewidth = traits.Float(0.5)
-    facecolor = Color
-    fc = facecolor
-    edgecolor = Color
-    fill = flexible_true_trait
-
-    def __init__(self,
-                 edgecolor=None,
-                 facecolor=None,
-                 linewidth=None,
-                 antialiased=None,
-                 fill=1,
-                 **kwargs
-                 ):
-        Artist.__init__(self)
-
-        if edgecolor is None:
-            edgecolor = rc.patch.edgecolor
-        if facecolor is None:
-            facecolor = rc.patch.facecolor
-        if linewidth is None:
-            linewidth = rc.patch.linewidth
-        if antialiased is None:
-            antialiased = rc.patch.antialiased
-
-        self.edgecolor = edgecolor
-        self.facecolor = facecolor
-        self.linewidth = linewidth
-        self.antialiased = antialiased
-        self.fill = fill
-
-
-p = Patch()
-p.facecolor = '#bfbf00'
-p.edgecolor = 'gold'
-p.facecolor = (1, .5, .5, .25)
-p.facecolor = 0.25
-p.fill = 'f'
-print('p.facecolor', type(p.facecolor), p.facecolor)
-print('p.fill', type(p.fill), p.fill)
-if p.fill_:
-    print('fill')
-else:
-    print('no fill')
-if doprint:
-    print()
-    print('Patch')
-    p.print_traits()
diff --git a/examples/misc/rec_groupby_demo.py b/examples/misc/rec_groupby_demo.py
deleted file mode 100644
index 06f2a1cca160..000000000000
--- a/examples/misc/rec_groupby_demo.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import print_function
-import numpy as np
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-
-datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
-print('loading', datafile)
-r = mlab.csv2rec(datafile)
-r.sort()
-
-
-def daily_return(prices):
-    'an array of daily returns from price array'
-    g = np.zeros_like(prices)
-    g[1:] = (prices[1:] - prices[:-1])/prices[:-1]
-    return g
-
-
-def volume_code(volume):
-    'code the continuous volume data categorically'
-    ind = np.searchsorted([1e5, 1e6, 5e6, 10e6, 1e7], volume)
-    return ind
-
-# a list of (dtype_name, summary_function, output_dtype_name).
-# rec_summarize will call on each function on the indicated recarray
-# attribute, and the result assigned to output name in the return
-# record array.
-summaryfuncs = (
-    ('date', lambda x: [thisdate.year for thisdate in x], 'years'),
-    ('date', lambda x: [thisdate.month for thisdate in x], 'months'),
-    ('date', lambda x: [thisdate.weekday() for thisdate in x], 'weekday'),
-    ('adj_close', daily_return, 'dreturn'),
-    ('volume', volume_code, 'volcode'),
-    )
-
-rsum = mlab.rec_summarize(r, summaryfuncs)
-
-# stats is a list of (dtype_name, function, output_dtype_name).
-# rec_groupby will summarize the attribute identified by the
-# dtype_name over the groups in the groupby list, and assign the
-# result to the output_dtype_name
-stats = (
-    ('dreturn', len, 'rcnt'),
-    ('dreturn', np.mean, 'rmean'),
-    ('dreturn', np.median, 'rmedian'),
-    ('dreturn', np.std, 'rsigma'),
-    )
-
-# you can summarize over a single variable, like years or months
-print('summary by years')
-ry = mlab.rec_groupby(rsum, ('years',), stats)
-print(mlab. rec2txt(ry))
-
-print('summary by months')
-rm = mlab.rec_groupby(rsum, ('months',), stats)
-print(mlab.rec2txt(rm))
-
-# or over multiple variables like years and months
-print('summary by year and month')
-rym = mlab.rec_groupby(rsum, ('years', 'months'), stats)
-print(mlab.rec2txt(rym))
-
-print('summary by volume')
-rv = mlab.rec_groupby(rsum, ('volcode',), stats)
-print(mlab.rec2txt(rv))
diff --git a/examples/misc/rec_join_demo.py b/examples/misc/rec_join_demo.py
deleted file mode 100644
index 6d365042b35b..000000000000
--- a/examples/misc/rec_join_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from __future__ import print_function
-import numpy as np
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-
-datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
-print('loading', datafile)
-r = mlab.csv2rec(datafile)
-
-r.sort()
-r1 = r[-10:]
-
-# Create a new array
-r2 = np.empty(12, dtype=[('date', '|O4'), ('high', np.float),
-                         ('marker', np.float)])
-r2 = r2.view(np.recarray)
-r2.date = r.date[-17:-5]
-r2.high = r.high[-17:-5]
-r2.marker = np.arange(12)
-
-print("r1:")
-print(mlab.rec2txt(r1))
-print("r2:")
-print(mlab.rec2txt(r2))
-
-defaults = {'marker': -1, 'close': np.NaN, 'low': -4444.}
-
-for s in ('inner', 'outer', 'leftouter'):
-    rec = mlab.rec_join(['date', 'high'], r1, r2,
-                        jointype=s, defaults=defaults)
-    print("\n%sjoin :\n%s" % (s, mlab.rec2txt(rec)))
diff --git a/examples/misc/sample_data_demo.py b/examples/misc/sample_data_demo.py
deleted file mode 100644
index 1e60b1e90854..000000000000
--- a/examples/misc/sample_data_demo.py
+++ /dev/null
@@ -1,13 +0,0 @@
-"""
-Grab mpl data from the ~/.matplotlib/sample_data cache if it exists, else
-fetch it from github and cache it
-"""
-from __future__ import print_function
-import matplotlib.cbook as cbook
-import matplotlib.pyplot as plt
-fname = cbook.get_sample_data('ada.png', asfileobj=False)
-
-print('fname', fname)
-im = plt.imread(fname)
-plt.imshow(im)
-plt.show()
diff --git a/examples/misc/svg_filter_line.py b/examples/misc/svg_filter_line.py
deleted file mode 100644
index 8dd6bf6c0138..000000000000
--- a/examples/misc/svg_filter_line.py
+++ /dev/null
@@ -1,86 +0,0 @@
-"""
-Demonstrate SVG filtering effects which might be used with mpl.
-
-Note that the filtering effects are only effective if your svg rederer
-support it.
-"""
-
-from __future__ import print_function
-import matplotlib
-
-matplotlib.use("Svg")
-
-import matplotlib.pyplot as plt
-import matplotlib.transforms as mtransforms
-
-fig1 = plt.figure()
-ax = fig1.add_axes([0.1, 0.1, 0.8, 0.8])
-
-# draw lines
-l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-",
-              mec="b", lw=5, ms=10, label="Line 1")
-l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "rs-",
-              mec="r", lw=5, ms=10, color="r", label="Line 2")
-
-
-for l in [l1, l2]:
-
-    # draw shadows with same lines with slight offset and gray colors.
-
-    xx = l.get_xdata()
-    yy = l.get_ydata()
-    shadow, = ax.plot(xx, yy)
-    shadow.update_from(l)
-
-    # adjust color
-    shadow.set_color("0.2")
-    # adjust zorder of the shadow lines so that it is drawn below the
-    # original lines
-    shadow.set_zorder(l.get_zorder() - 0.5)
-
-    # offset transform
-    ot = mtransforms.offset_copy(l.get_transform(), fig1,
-                                 x=4.0, y=-6.0, units='points')
-
-    shadow.set_transform(ot)
-
-    # set the id for a later use
-    shadow.set_gid(l.get_label() + "_shadow")
-
-
-ax.set_xlim(0., 1.)
-ax.set_ylim(0., 1.)
-
-# save the figure as a string in the svg format.
-from StringIO import StringIO
-f = StringIO()
-plt.savefig(f, format="svg")
-
-
-import xml.etree.cElementTree as ET
-
-# filter definition for a gaussian blur
-filter_def = """
-  <defs  xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'>
-    <filter id='dropshadow' height='1.2' width='1.2'>
-      <feGaussianBlur result='blur' stdDeviation='3'/>
-    </filter>
-  </defs>
-"""
-
-
-# read in the saved svg
-tree, xmlid = ET.XMLID(f.getvalue())
-
-# insert the filter definition in the svg dom tree.
-tree.insert(0, ET.XML(filter_def))
-
-for l in [l1, l2]:
-    # pick up the svg element with given id
-    shadow = xmlid[l.get_label() + "_shadow"]
-    # apply shdow filter
-    shadow.set("filter", 'url(#dropshadow)')
-
-fn = "svg_filter_line.svg"
-print("Saving '%s'" % fn)
-ET.ElementTree(tree).write(fn)
diff --git a/examples/misc/svg_filter_pie.py b/examples/misc/svg_filter_pie.py
deleted file mode 100644
index 20aa9e15824f..000000000000
--- a/examples/misc/svg_filter_pie.py
+++ /dev/null
@@ -1,95 +0,0 @@
-"""
-Demonstrate SVG filtering effects which might be used with mpl.
-The pie chart drawing code is borrowed from pie_demo.py
-
-Note that the filtering effects are only effective if your svg rederer
-support it.
-"""
-
-
-import matplotlib
-matplotlib.use("Svg")
-
-import matplotlib.pyplot as plt
-from matplotlib.patches import Shadow
-
-# make a square figure and axes
-fig1 = plt.figure(1, figsize=(6, 6))
-ax = fig1.add_axes([0.1, 0.1, 0.8, 0.8])
-
-labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
-fracs = [15, 30, 45, 10]
-
-explode = (0, 0.05, 0, 0)
-
-# We want to draw the shadow for each pie but we will not use "shadow"
-# option as it does'n save the references to the shadow patches.
-pies = ax.pie(fracs, explode=explode, labels=labels, autopct='%1.1f%%')
-
-for w in pies[0]:
-    # set the id with the label.
-    w.set_gid(w.get_label())
-
-    # we don't want to draw the edge of the pie
-    w.set_ec("none")
-
-for w in pies[0]:
-    # create shadow patch
-    s = Shadow(w, -0.01, -0.01)
-    s.set_gid(w.get_gid() + "_shadow")
-    s.set_zorder(w.get_zorder() - 0.1)
-    ax.add_patch(s)
-
-
-# save
-from StringIO import StringIO
-f = StringIO()
-plt.savefig(f, format="svg")
-
-import xml.etree.cElementTree as ET
-
-
-# filter definition for shadow using a gaussian blur
-# and lighteneing effect.
-# The lightnening filter is copied from http://www.w3.org/TR/SVG/filters.html
-
-# I tested it with Inkscape and Firefox3. "Gaussian blur" is supported
-# in both, but the lightnening effect only in the inkscape. Also note
-# that, inkscape's exporting also may not support it.
-
-filter_def = """
-  <defs  xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'>
-    <filter id='dropshadow' height='1.2' width='1.2'>
-      <feGaussianBlur result='blur' stdDeviation='2'/>
-    </filter>
-
-    <filter id='MyFilter' filterUnits='objectBoundingBox' x='0' y='0' width='1' height='1'>
-      <feGaussianBlur in='SourceAlpha' stdDeviation='4%' result='blur'/>
-      <feOffset in='blur' dx='4%' dy='4%' result='offsetBlur'/>
-      <feSpecularLighting in='blur' surfaceScale='5' specularConstant='.75'
-           specularExponent='20' lighting-color='#bbbbbb' result='specOut'>
-        <fePointLight x='-5000%' y='-10000%' z='20000%'/>
-      </feSpecularLighting>
-      <feComposite in='specOut' in2='SourceAlpha' operator='in' result='specOut'/>
-      <feComposite in='SourceGraphic' in2='specOut' operator='arithmetic'
-    k1='0' k2='1' k3='1' k4='0'/>
-    </filter>
-  </defs>
-"""
-
-
-tree, xmlid = ET.XMLID(f.getvalue())
-
-# insert the filter definition in the svg dom tree.
-tree.insert(0, ET.XML(filter_def))
-
-for i, pie_name in enumerate(labels):
-    pie = xmlid[pie_name]
-    pie.set("filter", 'url(#MyFilter)')
-
-    shadow = xmlid[pie_name + "_shadow"]
-    shadow.set("filter", 'url(#dropshadow)')
-
-fn = "svg_filter_pie.svg"
-print("Saving '%s'" % fn)
-ET.ElementTree(tree).write(fn)
diff --git a/examples/misc/tight_bbox_test.py b/examples/misc/tight_bbox_test.py
deleted file mode 100644
index 2e966e286667..000000000000
--- a/examples/misc/tight_bbox_test.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from __future__ import print_function
-import matplotlib.pyplot as plt
-import numpy as np
-
-ax = plt.axes([0.1, 0.3, 0.5, 0.5])
-
-ax.pcolormesh(np.array([[1, 2], [3, 4]]))
-plt.yticks([0.5, 1.5], ["long long tick label",
-                        "tick label"])
-plt.ylabel("My y-label")
-plt.title("Check saved figures for their bboxes")
-for ext in ["png", "pdf", "svg", "svgz", "eps"]:
-    print("saving tight_bbox_test.%s" % (ext,))
-    plt.savefig("tight_bbox_test.%s" % (ext,), bbox_inches="tight")
-plt.show()
diff --git a/examples/mplot3d/2dcollections3d_demo.py b/examples/mplot3d/2dcollections3d_demo.py
deleted file mode 100644
index 099fce832076..000000000000
--- a/examples/mplot3d/2dcollections3d_demo.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-x = np.linspace(0, 1, 100)
-y = np.sin(x * 2 * np.pi) / 2 + 0.5
-ax.plot(x, y, zs=0, zdir='z', label='zs=0, zdir=z')
-
-colors = ('r', 'g', 'b', 'k')
-for c in colors:
-    x = np.random.sample(20)
-    y = np.random.sample(20)
-    ax.scatter(x, y, 0, zdir='y', c=c)
-
-ax.legend()
-ax.set_xlim3d(0, 1)
-ax.set_ylim3d(0, 1)
-ax.set_zlim3d(0, 1)
-
-plt.show()
diff --git a/examples/mplot3d/bars3d_demo.py b/examples/mplot3d/bars3d_demo.py
deleted file mode 100644
index d378af98b51d..000000000000
--- a/examples/mplot3d/bars3d_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
-    xs = np.arange(20)
-    ys = np.random.rand(20)
-
-    # You can provide either a single color or an array. To demonstrate this,
-    # the first bar of each set will be colored cyan.
-    cs = [c] * len(xs)
-    cs[0] = 'c'
-    ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)
-
-ax.set_xlabel('X')
-ax.set_ylabel('Y')
-ax.set_zlabel('Z')
-
-plt.show()
diff --git a/examples/mplot3d/contour3d_demo.py b/examples/mplot3d/contour3d_demo.py
deleted file mode 100644
index 6c3fba8ce6b6..000000000000
--- a/examples/mplot3d/contour3d_demo.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-from matplotlib import cm
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contour(X, Y, Z, cmap=cm.coolwarm)
-ax.clabel(cset, fontsize=9, inline=1)
-
-plt.show()
diff --git a/examples/mplot3d/contour3d_demo2.py b/examples/mplot3d/contour3d_demo2.py
deleted file mode 100644
index 64e053cbb64b..000000000000
--- a/examples/mplot3d/contour3d_demo2.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-from matplotlib import cm
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contour(X, Y, Z, extend3d=True, cmap=cm.coolwarm)
-ax.clabel(cset, fontsize=9, inline=1)
-
-plt.show()
diff --git a/examples/mplot3d/contour3d_demo3.py b/examples/mplot3d/contour3d_demo3.py
deleted file mode 100644
index f0b2fbf23f2a..000000000000
--- a/examples/mplot3d/contour3d_demo3.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-from matplotlib import cm
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
-cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
-
-ax.set_xlabel('X')
-ax.set_xlim(-40, 40)
-ax.set_ylabel('Y')
-ax.set_ylim(-40, 40)
-ax.set_zlabel('Z')
-ax.set_zlim(-100, 100)
-
-plt.show()
diff --git a/examples/mplot3d/contourf3d_demo.py b/examples/mplot3d/contourf3d_demo.py
deleted file mode 100644
index 4811ecd72360..000000000000
--- a/examples/mplot3d/contourf3d_demo.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-from matplotlib import cm
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-cset = ax.contourf(X, Y, Z, cmap=cm.coolwarm)
-ax.clabel(cset, fontsize=9, inline=1)
-
-plt.show()
diff --git a/examples/mplot3d/contourf3d_demo2.py b/examples/mplot3d/contourf3d_demo2.py
deleted file mode 100644
index 21bae939dc12..000000000000
--- a/examples/mplot3d/contourf3d_demo2.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-.. versionadded:: 1.1.0
-   This demo depends on new features added to contourf3d.
-"""
-
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-from matplotlib import cm
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
-cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
-
-ax.set_xlabel('X')
-ax.set_xlim(-40, 40)
-ax.set_ylabel('Y')
-ax.set_ylim(-40, 40)
-ax.set_zlabel('Z')
-ax.set_zlim(-100, 100)
-
-plt.show()
diff --git a/examples/mplot3d/custom_shaded_3d_surface.py b/examples/mplot3d/custom_shaded_3d_surface.py
deleted file mode 100644
index 4bfff3ca6633..000000000000
--- a/examples/mplot3d/custom_shaded_3d_surface.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""
-Demonstrates using custom hillshading in a 3D surface plot.
-"""
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cbook
-from matplotlib import cm
-from matplotlib.colors import LightSource
-import matplotlib.pyplot as plt
-import numpy as np
-
-filename = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
-with np.load(filename) as dem:
-    z = dem['elevation']
-    nrows, ncols = z.shape
-    x = np.linspace(dem['xmin'], dem['xmax'], ncols)
-    y = np.linspace(dem['ymin'], dem['ymax'], nrows)
-    x, y = np.meshgrid(x, y)
-
-region = np.s_[5:50, 5:50]
-x, y, z = x[region], y[region], z[region]
-
-fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
-
-ls = LightSource(270, 45)
-# To use a custom hillshading mode, override the built-in shading and pass
-# in the rgb colors of the shaded surface calculated from "shade".
-rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
-surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
-                       linewidth=0, antialiased=False, shade=False)
-
-plt.show()
diff --git a/examples/mplot3d/hist3d_demo.py b/examples/mplot3d/hist3d_demo.py
deleted file mode 100644
index 8137c6400d33..000000000000
--- a/examples/mplot3d/hist3d_demo.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-x, y = np.random.rand(2, 100) * 4
-hist, xedges, yedges = np.histogram2d(x, y, bins=4)
-
-elements = (len(xedges) - 1) * (len(yedges) - 1)
-xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25)
-
-xpos = xpos.flatten()
-ypos = ypos.flatten()
-zpos = np.zeros(elements)
-dx = 0.5 * np.ones_like(zpos)
-dy = dx.copy()
-dz = hist.flatten()
-
-ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average')
-
-plt.show()
diff --git a/examples/mplot3d/lines3d_demo.py b/examples/mplot3d/lines3d_demo.py
deleted file mode 100644
index cc349bda2230..000000000000
--- a/examples/mplot3d/lines3d_demo.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import matplotlib as mpl
-from mpl_toolkits.mplot3d import Axes3D
-import numpy as np
-import matplotlib.pyplot as plt
-
-mpl.rcParams['legend.fontsize'] = 10
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
-z = np.linspace(-2, 2, 100)
-r = z**2 + 1
-x = r * np.sin(theta)
-y = r * np.cos(theta)
-ax.plot(x, y, z, label='parametric curve')
-ax.legend()
-
-plt.show()
diff --git a/examples/mplot3d/lorenz_attractor.py b/examples/mplot3d/lorenz_attractor.py
deleted file mode 100644
index 5302822d685b..000000000000
--- a/examples/mplot3d/lorenz_attractor.py
+++ /dev/null
@@ -1,49 +0,0 @@
-# Plot of the Lorenz Attractor based on Edward Lorenz's 1963 "Deterministic
-# Nonperiodic Flow" publication.
-# http://journals.ametsoc.org/doi/abs/10.1175/1520-0469%281963%29020%3C0130%3ADNF%3E2.0.CO%3B2
-#
-# Note: Because this is a simple non-linear ODE, it would be more easily
-#       done using SciPy's ode solver, but this approach depends only
-#       upon NumPy.
-
-import numpy as np
-import matplotlib.pyplot as plt
-from mpl_toolkits.mplot3d import Axes3D
-
-
-def lorenz(x, y, z, s=10, r=28, b=2.667):
-    x_dot = s*(y - x)
-    y_dot = r*x - y - x*z
-    z_dot = x*y - b*z
-    return x_dot, y_dot, z_dot
-
-
-dt = 0.01
-stepCnt = 10000
-
-# Need one more for the initial values
-xs = np.empty((stepCnt + 1,))
-ys = np.empty((stepCnt + 1,))
-zs = np.empty((stepCnt + 1,))
-
-# Setting initial values
-xs[0], ys[0], zs[0] = (0., 1., 1.05)
-
-# Stepping through "time".
-for i in range(stepCnt):
-    # Derivatives of the X, Y, Z state
-    x_dot, y_dot, z_dot = lorenz(xs[i], ys[i], zs[i])
-    xs[i + 1] = xs[i] + (x_dot * dt)
-    ys[i + 1] = ys[i] + (y_dot * dt)
-    zs[i + 1] = zs[i] + (z_dot * dt)
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-ax.plot(xs, ys, zs)
-ax.set_xlabel("X Axis")
-ax.set_ylabel("Y Axis")
-ax.set_zlabel("Z Axis")
-ax.set_title("Lorenz Attractor")
-
-plt.show()
diff --git a/examples/mplot3d/mixed_subplots_demo.py b/examples/mplot3d/mixed_subplots_demo.py
deleted file mode 100644
index ffcb23c01c21..000000000000
--- a/examples/mplot3d/mixed_subplots_demo.py
+++ /dev/null
@@ -1,49 +0,0 @@
-"""
-Demonstrate the mixing of 2d and 3d subplots
-"""
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-def f(t):
-    s1 = np.cos(2*np.pi*t)
-    e1 = np.exp(-t)
-    return np.multiply(s1, e1)
-
-
-################
-# First subplot
-################
-t1 = np.arange(0.0, 5.0, 0.1)
-t2 = np.arange(0.0, 5.0, 0.02)
-t3 = np.arange(0.0, 2.0, 0.01)
-
-# Twice as tall as it is wide.
-fig = plt.figure(figsize=plt.figaspect(2.))
-fig.suptitle('A tale of 2 subplots')
-ax = fig.add_subplot(2, 1, 1)
-l = ax.plot(t1, f(t1), 'bo',
-            t2, f(t2), 'k--', markerfacecolor='green')
-ax.grid(True)
-ax.set_ylabel('Damped oscillation')
-
-
-#################
-# Second subplot
-#################
-ax = fig.add_subplot(2, 1, 2, projection='3d')
-X = np.arange(-5, 5, 0.25)
-xlen = len(X)
-Y = np.arange(-5, 5, 0.25)
-ylen = len(Y)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-
-surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,
-                       linewidth=0, antialiased=False)
-
-ax.set_zlim3d(-1, 1)
-
-plt.show()
diff --git a/examples/mplot3d/offset_demo.py b/examples/mplot3d/offset_demo.py
deleted file mode 100644
index 7b80ff2864a6..000000000000
--- a/examples/mplot3d/offset_demo.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-import numpy as np
-
-# This example demonstrates mplot3d's offset text display.
-# As one rotates the 3D figure, the offsets should remain oriented
-# same way as the axis label, and should also be located "away"
-# from the center of the plot.
-#
-# This demo triggers the display of the offset text for the x and
-# y axis by adding 1e5 to X and Y. Anything less would not
-# automatically trigger it.
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X, Y = np.mgrid[0:6*np.pi:0.25, 0:4*np.pi:0.25]
-Z = np.sqrt(np.abs(np.cos(X) + np.cos(Y)))
-
-surf = ax.plot_surface(X + 1e5, Y + 1e5, Z, cmap='autumn', cstride=2, rstride=2)
-ax.set_xlabel("X-Label")
-ax.set_ylabel("Y-Label")
-ax.set_zlabel("Z-Label")
-ax.set_zlim(0, 2)
-
-plt.show()
diff --git a/examples/mplot3d/pathpatch3d_demo.py b/examples/mplot3d/pathpatch3d_demo.py
deleted file mode 100644
index 9be590f333f3..000000000000
--- a/examples/mplot3d/pathpatch3d_demo.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.patches import Circle, PathPatch
-# register Axes3D class with matplotlib by importing Axes3D
-from mpl_toolkits.mplot3d import Axes3D
-import mpl_toolkits.mplot3d.art3d as art3d
-from matplotlib.text import TextPath
-from matplotlib.transforms import Affine2D
-
-
-def text3d(ax, xyz, s, zdir="z", size=None, angle=0, usetex=False, **kwargs):
-
-    x, y, z = xyz
-    if zdir == "y":
-        xy1, z1 = (x, z), y
-    elif zdir == "y":
-        xy1, z1 = (y, z), x
-    else:
-        xy1, z1 = (x, y), z
-
-    text_path = TextPath((0, 0), s, size=size, usetex=usetex)
-    trans = Affine2D().rotate(angle).translate(xy1[0], xy1[1])
-
-    p1 = PathPatch(trans.transform_path(text_path), **kwargs)
-    ax.add_patch(p1)
-    art3d.pathpatch_2d_to_3d(p1, z=z1, zdir=zdir)
-
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-
-p = Circle((5, 5), 3)
-ax.add_patch(p)
-art3d.pathpatch_2d_to_3d(p, z=0, zdir="x")
-
-
-text3d(ax, (4, -2, 0), "X-axis", zdir="z", size=.5, usetex=False,
-       ec="none", fc="k")
-text3d(ax, (12, 4, 0), "Y-axis", zdir="z", size=.5, usetex=False,
-       angle=.5*3.14159, ec="none", fc="k")
-text3d(ax, (12, 10, 4), "Z-axis", zdir="y", size=.5, usetex=False,
-       angle=.5*3.14159, ec="none", fc="k")
-
-text3d(ax, (1, 5, 0),
-       r"$\displaystyle G_{\mu\nu} + \Lambda g_{\mu\nu} = "
-       r"\frac{8\pi G}{c^4} T_{\mu\nu}  $",
-       zdir="z", size=1, usetex=True,
-       ec="none", fc="k")
-
-ax.set_xlim3d(0, 10)
-ax.set_ylim3d(0, 10)
-ax.set_zlim3d(0, 10)
-
-plt.show()
diff --git a/examples/mplot3d/polys3d_demo.py b/examples/mplot3d/polys3d_demo.py
deleted file mode 100644
index f9f6b97ed7e2..000000000000
--- a/examples/mplot3d/polys3d_demo.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib.collections import PolyCollection
-from matplotlib.colors import colorConverter
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-
-def cc(arg):
-    return colorConverter.to_rgba(arg, alpha=0.6)
-
-xs = np.arange(0, 10, 0.4)
-verts = []
-zs = [0.0, 1.0, 2.0, 3.0]
-for z in zs:
-    ys = np.random.rand(len(xs))
-    ys[0], ys[-1] = 0, 0
-    verts.append(list(zip(xs, ys)))
-
-poly = PolyCollection(verts, facecolors=[cc('r'), cc('g'), cc('b'),
-                                         cc('y')])
-poly.set_alpha(0.7)
-ax.add_collection3d(poly, zs=zs, zdir='y')
-
-ax.set_xlabel('X')
-ax.set_xlim3d(0, 10)
-ax.set_ylabel('Y')
-ax.set_ylim3d(-1, 4)
-ax.set_zlabel('Z')
-ax.set_zlim3d(0, 1)
-
-plt.show()
diff --git a/examples/mplot3d/quiver3d_demo.py b/examples/mplot3d/quiver3d_demo.py
deleted file mode 100644
index 1051c2fe3ff1..000000000000
--- a/examples/mplot3d/quiver3d_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-x, y, z = np.meshgrid(np.arange(-0.8, 1, 0.2),
-                      np.arange(-0.8, 1, 0.2),
-                      np.arange(-0.8, 1, 0.8))
-
-u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-     np.sin(np.pi * z))
-
-ax.quiver(x, y, z, u, v, w, length=0.1)
-
-plt.show()
diff --git a/examples/mplot3d/rotate_axes3d_demo.py b/examples/mplot3d/rotate_axes3d_demo.py
deleted file mode 100644
index 55ec41177dea..000000000000
--- a/examples/mplot3d/rotate_axes3d_demo.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-import numpy as np
-
-plt.ion()
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-X, Y, Z = axes3d.get_test_data(0.1)
-ax.plot_wireframe(X, Y, Z, rstride=5, cstride=5)
-
-for angle in range(0, 360):
-    ax.view_init(30, angle)
-    plt.draw()
diff --git a/examples/mplot3d/scatter3d_demo.py b/examples/mplot3d/scatter3d_demo.py
deleted file mode 100644
index 64d792bd3613..000000000000
--- a/examples/mplot3d/scatter3d_demo.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import numpy as np
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-
-
-def randrange(n, vmin, vmax):
-    return (vmax - vmin)*np.random.rand(n) + vmin
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-n = 100
-for c, m, zl, zh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
-    xs = randrange(n, 23, 32)
-    ys = randrange(n, 0, 100)
-    zs = randrange(n, zl, zh)
-    ax.scatter(xs, ys, zs, c=c, marker=m)
-
-ax.set_xlabel('X Label')
-ax.set_ylabel('Y Label')
-ax.set_zlabel('Z Label')
-
-plt.show()
diff --git a/examples/mplot3d/subplot3d_demo.py b/examples/mplot3d/subplot3d_demo.py
deleted file mode 100644
index 557f11602fea..000000000000
--- a/examples/mplot3d/subplot3d_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from mpl_toolkits.mplot3d.axes3d import Axes3D
-import matplotlib.pyplot as plt
-
-
-# imports specific to the plots in this example
-import numpy as np
-from matplotlib import cm
-from mpl_toolkits.mplot3d.axes3d import get_test_data
-
-# Twice as wide as it is tall.
-fig = plt.figure(figsize=plt.figaspect(0.5))
-
-#---- First subplot
-ax = fig.add_subplot(1, 2, 1, projection='3d')
-X = np.arange(-5, 5, 0.25)
-Y = np.arange(-5, 5, 0.25)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
-                       linewidth=0, antialiased=False)
-ax.set_zlim3d(-1.01, 1.01)
-
-fig.colorbar(surf, shrink=0.5, aspect=10)
-
-#---- Second subplot
-ax = fig.add_subplot(1, 2, 2, projection='3d')
-X, Y, Z = get_test_data(0.05)
-ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
-
-plt.show()
diff --git a/examples/mplot3d/surface3d_demo.py b/examples/mplot3d/surface3d_demo.py
deleted file mode 100644
index f5c7c1392e98..000000000000
--- a/examples/mplot3d/surface3d_demo.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cm
-from matplotlib.ticker import LinearLocator, FormatStrFormatter
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X = np.arange(-5, 5, 0.25)
-Y = np.arange(-5, 5, 0.25)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
-                       linewidth=0, antialiased=False)
-ax.set_zlim(-1.01, 1.01)
-
-ax.zaxis.set_major_locator(LinearLocator(10))
-ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
-
-fig.colorbar(surf, shrink=0.5, aspect=5)
-
-plt.show()
diff --git a/examples/mplot3d/surface3d_demo2.py b/examples/mplot3d/surface3d_demo2.py
deleted file mode 100644
index 817e7088d5b7..000000000000
--- a/examples/mplot3d/surface3d_demo2.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-
-u = np.linspace(0, 2 * np.pi, 100)
-v = np.linspace(0, np.pi, 100)
-
-x = 10 * np.outer(np.cos(u), np.sin(v))
-y = 10 * np.outer(np.sin(u), np.sin(v))
-z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
-ax.plot_surface(x, y, z, rstride=4, cstride=4, color='b')
-
-plt.show()
diff --git a/examples/mplot3d/surface3d_demo3.py b/examples/mplot3d/surface3d_demo3.py
deleted file mode 100644
index d23721c28810..000000000000
--- a/examples/mplot3d/surface3d_demo3.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cm
-from matplotlib.ticker import LinearLocator
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-X = np.arange(-5, 5, 0.25)
-xlen = len(X)
-Y = np.arange(-5, 5, 0.25)
-ylen = len(Y)
-X, Y = np.meshgrid(X, Y)
-R = np.sqrt(X**2 + Y**2)
-Z = np.sin(R)
-
-colortuple = ('y', 'b')
-colors = np.empty(X.shape, dtype=str)
-for y in range(ylen):
-    for x in range(xlen):
-        colors[x, y] = colortuple[(x + y) % len(colortuple)]
-
-surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, facecolors=colors,
-                       linewidth=0, antialiased=False)
-
-ax.set_zlim3d(-1, 1)
-ax.w_zaxis.set_major_locator(LinearLocator(6))
-
-plt.show()
diff --git a/examples/mplot3d/surface3d_radial_demo.py b/examples/mplot3d/surface3d_radial_demo.py
deleted file mode 100644
index d12b02b9963b..000000000000
--- a/examples/mplot3d/surface3d_radial_demo.py
+++ /dev/null
@@ -1,26 +0,0 @@
-# By Armin Moser
-
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib
-import numpy as np
-from matplotlib import cm
-from matplotlib import pyplot as plt
-step = 0.04
-maxval = 1.0
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-
-# create supporting points in polar coordinates
-r = np.linspace(0, 1.25, 50)
-p = np.linspace(0, 2*np.pi, 50)
-R, P = np.meshgrid(r, p)
-# transform them to cartesian system
-X, Y = R*np.cos(P), R*np.sin(P)
-
-Z = ((R**2 - 1)**2)
-ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.YlGnBu_r)
-ax.set_zlim3d(0, 1)
-ax.set_xlabel(r'$\phi_\mathrm{real}$')
-ax.set_ylabel(r'$\phi_\mathrm{im}$')
-ax.set_zlabel(r'$V(\phi)$')
-plt.show()
diff --git a/examples/mplot3d/text3d_demo.py b/examples/mplot3d/text3d_demo.py
deleted file mode 100644
index 182d6c11dfa2..000000000000
--- a/examples/mplot3d/text3d_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-zdirs = (None, 'x', 'y', 'z', (1, 1, 0), (1, 1, 1))
-xs = (1, 4, 4, 9, 4, 1)
-ys = (2, 5, 8, 10, 1, 2)
-zs = (10, 3, 8, 9, 1, 8)
-
-for zdir, x, y, z in zip(zdirs, xs, ys, zs):
-    label = '(%d, %d, %d), dir=%s' % (x, y, z, zdir)
-    ax.text(x, y, z, label, zdir)
-
-ax.text(9, 0, 0, "red", color='red')
-ax.text2D(0.05, 0.95, "2D Text", transform=ax.transAxes)
-
-ax.set_xlim3d(0, 10)
-ax.set_ylim3d(0, 10)
-ax.set_zlim3d(0, 10)
-
-ax.set_xlabel('X axis')
-ax.set_ylabel('Y axis')
-ax.set_zlabel('Z axis')
-
-plt.show()
diff --git a/examples/mplot3d/tricontour3d_demo.py b/examples/mplot3d/tricontour3d_demo.py
deleted file mode 100644
index b1c669a62fde..000000000000
--- a/examples/mplot3d/tricontour3d_demo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-Contour plots of unstructured triangular grids.
-"""
-import matplotlib.pyplot as plt
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.tri as tri
-import numpy as np
-import math
-
-# First create the x and y coordinates of the points.
-n_angles = 48
-n_radii = 8
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = (np.cos(radii)*np.cos(angles*3.0)).flatten()
-
-# Create a custom triangulation
-triang = tri.Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-plt.figure()
-plt.gca(projection='3d')
-plt.tricontour(triang, z)
-plt.show()
diff --git a/examples/mplot3d/tricontourf3d_demo.py b/examples/mplot3d/tricontourf3d_demo.py
deleted file mode 100644
index 8a157e83da10..000000000000
--- a/examples/mplot3d/tricontourf3d_demo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-Contour plots of unstructured triangular grids.
-"""
-import matplotlib.pyplot as plt
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.tri as tri
-import numpy as np
-import math
-
-# First create the x and y coordinates of the points.
-n_angles = 48
-n_radii = 8
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = (np.cos(radii)*np.cos(angles*3.0)).flatten()
-
-# Create a custom triangulation
-triang = tri.Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-plt.figure()
-plt.gca(projection='3d')
-plt.tricontourf(triang, z)
-plt.show()
diff --git a/examples/mplot3d/trisurf3d_demo.py b/examples/mplot3d/trisurf3d_demo.py
deleted file mode 100644
index f7919d1bd9c8..000000000000
--- a/examples/mplot3d/trisurf3d_demo.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cm
-import matplotlib.pyplot as plt
-import numpy as np
-
-n_angles = 36
-n_radii = 8
-
-# An array of radii
-# Does not include radius r=0, this is to eliminate duplicate points
-radii = np.linspace(0.125, 1.0, n_radii)
-
-# An array of angles
-angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
-
-# Repeat all angles for each radius
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-
-# Convert polar (radii, angles) coords to cartesian (x, y) coords
-# (0, 0) is added here. There are no duplicate points in the (x, y) plane
-x = np.append(0, (radii*np.cos(angles)).flatten())
-y = np.append(0, (radii*np.sin(angles)).flatten())
-
-# Pringle surface
-z = np.sin(-x*y)
-
-fig = plt.figure()
-ax = fig.gca(projection='3d')
-
-ax.plot_trisurf(x, y, z, cmap=cm.jet, linewidth=0.2)
-
-plt.show()
diff --git a/examples/mplot3d/trisurf3d_demo2.py b/examples/mplot3d/trisurf3d_demo2.py
deleted file mode 100644
index 5b1a707e0c28..000000000000
--- a/examples/mplot3d/trisurf3d_demo2.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from mpl_toolkits.mplot3d import Axes3D
-import matplotlib.tri as mtri
-
-# u, v are parameterisation variables
-u = (np.linspace(0, 2.0 * np.pi, endpoint=True, num=50) * np.ones((10, 1))).flatten()
-v = np.repeat(np.linspace(-0.5, 0.5, endpoint=True, num=10), repeats=50).flatten()
-
-# This is the Mobius mapping, taking a u, v pair and returning an x, y, z
-# triple
-x = (1 + 0.5 * v * np.cos(u / 2.0)) * np.cos(u)
-y = (1 + 0.5 * v * np.cos(u / 2.0)) * np.sin(u)
-z = 0.5 * v * np.sin(u / 2.0)
-
-# Triangulate parameter space to determine the triangles
-tri = mtri.Triangulation(u, v)
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1, projection='3d')
-
-# The triangles in parameter space determine which x, y, z points are
-# connected by an edge
-ax.plot_trisurf(x, y, z, triangles=tri.triangles, cmap=plt.cm.Spectral)
-
-ax.set_zlim(-1, 1)
-
-# First create the x and y coordinates of the points.
-n_angles = 36
-n_radii = 8
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += np.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = (np.cos(radii)*np.cos(angles*3.0)).flatten()
-
-# Create the Triangulation; no triangles so Delaunay triangulation created.
-triang = mtri.Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-# tripcolor plot.
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1, projection='3d')
-ax.plot_trisurf(triang, z, cmap=plt.cm.CMRmap)
-plt.show()
diff --git a/examples/mplot3d/wire3d_animation_demo.py b/examples/mplot3d/wire3d_animation_demo.py
deleted file mode 100644
index 47c55b6d8d73..000000000000
--- a/examples/mplot3d/wire3d_animation_demo.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from __future__ import print_function
-"""
-A very simple 'animation' of a 3D plot
-"""
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-import numpy as np
-import time
-
-
-def generate(X, Y, phi):
-    R = 1 - np.sqrt(X**2 + Y**2)
-    return np.cos(2 * np.pi * X + phi) * R
-
-plt.ion()
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-
-xs = np.linspace(-1, 1, 50)
-ys = np.linspace(-1, 1, 50)
-X, Y = np.meshgrid(xs, ys)
-Z = generate(X, Y, 0.0)
-
-wframe = None
-tstart = time.time()
-for phi in np.linspace(0, 360 / 2 / np.pi, 100):
-
-    oldcol = wframe
-
-    Z = generate(X, Y, phi)
-    wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2)
-
-    # Remove old line collection before drawing
-    if oldcol is not None:
-        ax.collections.remove(oldcol)
-
-    plt.pause(.001)
-
-print('FPS: %f' % (100 / (time.time() - tstart)))
diff --git a/examples/mplot3d/wire3d_demo.py b/examples/mplot3d/wire3d_demo.py
deleted file mode 100644
index db8601f52171..000000000000
--- a/examples/mplot3d/wire3d_demo.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from mpl_toolkits.mplot3d import axes3d
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-X, Y, Z = axes3d.get_test_data(0.05)
-ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
-
-plt.show()
diff --git a/examples/pie_and_polar_charts/pie_demo_features.py b/examples/pie_and_polar_charts/pie_demo_features.py
deleted file mode 100644
index ed17febb1705..000000000000
--- a/examples/pie_and_polar_charts/pie_demo_features.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""
-Demo of a basic pie chart plus a few additional features.
-
-In addition to the basic pie chart, this demo shows a few optional features:
-
-    * slice labels
-    * auto-labeling the percentage
-    * offsetting a slice with "explode"
-    * drop-shadow
-    * custom start angle
-
-Note about the custom start angle:
-
-The default ``startangle`` is 0, which would start the "Frogs" slice on the
-positive x-axis. This example sets ``startangle = 90`` such that everything is
-rotated counter-clockwise by 90 degrees, and the frog slice starts on the
-positive y-axis.
-"""
-import matplotlib.pyplot as plt
-
-# The slices will be ordered and plotted counter-clockwise.
-labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
-sizes = [15, 30, 45, 10]
-colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
-explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
-
-plt.pie(sizes, explode=explode, labels=labels, colors=colors,
-        autopct='%1.1f%%', shadow=True, startangle=90)
-# Set aspect ratio to be equal so that pie is drawn as a circle.
-plt.axis('equal')
-
-fig = plt.figure()
-ax = fig.gca()
-import numpy as np
-
-ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,
-       autopct='%1.1f%%', shadow=True, startangle=90,
-       radius=0.25, center=(0, 0), frame=True)
-ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,
-       autopct='%1.1f%%', shadow=True, startangle=90,
-       radius=0.25, center=(1, 1), frame=True)
-ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,
-       autopct='%1.1f%%', shadow=True, startangle=90,
-       radius=0.25, center=(0, 1), frame=True)
-ax.pie(np.random.random(4), explode=explode, labels=labels, colors=colors,
-       autopct='%1.1f%%', shadow=True, startangle=90,
-       radius=0.25, center=(1, 0), frame=True)
-
-ax.set_xticks([0, 1])
-ax.set_yticks([0, 1])
-ax.set_xticklabels(["Sunny", "Cloudy"])
-ax.set_yticklabels(["Dry", "Rainy"])
-ax.set_xlim((-0.5, 1.5))
-ax.set_ylim((-0.5, 1.5))
-
-# Set aspect ratio to be equal so that pie is drawn as a circle.
-ax.set_aspect('equal')
-
-plt.show()
diff --git a/examples/pie_and_polar_charts/polar_bar_demo.py b/examples/pie_and_polar_charts/polar_bar_demo.py
deleted file mode 100644
index 459dd6f958f1..000000000000
--- a/examples/pie_and_polar_charts/polar_bar_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-Demo of bar plot on a polar axis.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-N = 20
-theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)
-radii = 10 * np.random.rand(N)
-width = np.pi / 4 * np.random.rand(N)
-
-ax = plt.subplot(111, polar=True)
-bars = ax.bar(theta, radii, width=width, bottom=0.0)
-
-# Use custom colors and opacity
-for r, bar in zip(radii, bars):
-    bar.set_facecolor(plt.cm.jet(r / 10.))
-    bar.set_alpha(0.5)
-
-plt.show()
diff --git a/examples/pie_and_polar_charts/polar_scatter_demo.py b/examples/pie_and_polar_charts/polar_scatter_demo.py
deleted file mode 100644
index 90eea4e2b3a8..000000000000
--- a/examples/pie_and_polar_charts/polar_scatter_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-Demo of scatter plot on a polar axis.
-
-Size increases radially in this example and color increases with angle (just to
-verify the symbols are being scattered correctly).
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-N = 150
-r = 2 * np.random.rand(N)
-theta = 2 * np.pi * np.random.rand(N)
-area = 200 * r**2 * np.random.rand(N)
-colors = theta
-
-ax = plt.subplot(111, polar=True)
-c = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.hsv)
-c.set_alpha(0.75)
-
-plt.show()
diff --git a/examples/pylab_examples/README b/examples/pylab_examples/README
deleted file mode 100644
index ca0d48e04541..000000000000
--- a/examples/pylab_examples/README
+++ /dev/null
@@ -1,24 +0,0 @@
-Here are some demos of how to use the matplotlib.
-
-
--- data_helper.py - a convenience module to load some data from the
-      data dir
-
--- embedding_in_gtk - The Figure class derives from gtk.DrawingArea,
-   so it is easy to embed in larger applications.
-
--- histograms_gauss.py - 2D histograms; requires the jdh.mlab module
-
--- simple_plot.py  - the basic 2D line plot
-
--- subplot_demo.py - how to do multiple axes on a single plot
-
--- vline_hline_demo.py   - working with straight lines
-
--- stock_demo.py - working with large datasets.  Click on the plot and
-      launch the navigation tool; wheel mouse over the navigation
-      buttons to scroll and zoom.  There are 58 days of minute by
-      minute stock quotes for two tickers.  The plot lib uses
-      Numeric's super speedy searchsorted routine to extract the
-      clipping indices so only the data in the viewport are handled.
-
diff --git a/examples/pylab_examples/accented_text.py b/examples/pylab_examples/accented_text.py
deleted file mode 100644
index 20b8b6e0c762..000000000000
--- a/examples/pylab_examples/accented_text.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/usr/bin/env python
-"""
-matplotlib supports accented characters via TeX mathtext
-
-The following accents are provided: \hat, \breve, \grave, \bar,
-\acute, \tilde, \vec, \dot, \ddot.  All of them have the same syntax,
-e.g., to make an overbar you do \bar{o} or to make an o umlaut you do
-\ddot{o}.  The shortcuts are also provided, e.g.,: \"o \'e \`e \~n \.x
-\^y
-
-"""
-from pylab import *
-
-axes([0.1, 0.15, 0.8, 0.75])
-plot(range(10))
-
-title(r'$\ddot{o}\acute{e}\grave{e}\hat{O}\breve{i}\bar{A}\tilde{n}\vec{q}$', fontsize=20)
-# shorthand is also supported and curly's are optional
-xlabel(r"""$\"o\ddot o \'e\`e\~n\.x\^y$""", fontsize=20)
-
-
-show()
diff --git a/examples/pylab_examples/agg_buffer_to_array.py b/examples/pylab_examples/agg_buffer_to_array.py
deleted file mode 100644
index 6c94da1e4ada..000000000000
--- a/examples/pylab_examples/agg_buffer_to_array.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-# make an agg figure
-fig, ax = plt.subplots()
-ax.plot([1, 2, 3])
-ax.set_title('a simple figure')
-fig.canvas.draw()
-
-# grab the pixel buffer and dump it into a numpy array
-X = np.array(fig.canvas.renderer._renderer)
-
-# now display the array X as an Axes in a new figure
-fig2 = plt.figure()
-ax2 = fig2.add_subplot(111, frameon=False)
-ax2.imshow(X)
-plt.show()
diff --git a/examples/pylab_examples/alignment_test.py b/examples/pylab_examples/alignment_test.py
deleted file mode 100644
index 52343b09ebd3..000000000000
--- a/examples/pylab_examples/alignment_test.py
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env python
-"""
-You can precisely layout text in data or axes (0,1) coordinates.  This
-example shows you some of the alignment and rotation specifications to
-layout text
-"""
-
-from pylab import *
-from matplotlib.lines import Line2D
-from matplotlib.patches import Rectangle
-
-# build a rectangle in axes coords
-left, width = .25, .5
-bottom, height = .25, .5
-right = left + width
-top = bottom + height
-ax = gca()
-p = Rectangle((left, bottom), width, height,
-              fill=False,
-              )
-p.set_transform(ax.transAxes)
-p.set_clip_on(False)
-ax.add_patch(p)
-
-
-ax.text(left, bottom, 'left top',
-        horizontalalignment='left',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(left, bottom, 'left bottom',
-        horizontalalignment='left',
-        verticalalignment='bottom',
-        transform=ax.transAxes)
-
-ax.text(right, top, 'right bottom',
-        horizontalalignment='right',
-        verticalalignment='bottom',
-        transform=ax.transAxes)
-
-ax.text(right, top, 'right top',
-        horizontalalignment='right',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(right, bottom, 'center top',
-        horizontalalignment='center',
-        verticalalignment='top',
-        transform=ax.transAxes)
-
-ax.text(left, 0.5*(bottom + top), 'right center',
-        horizontalalignment='right',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(left, 0.5*(bottom + top), 'left center',
-        horizontalalignment='left',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(0.5*(left + right), 0.5*(bottom + top), 'middle',
-        horizontalalignment='center',
-        verticalalignment='center',
-        transform=ax.transAxes)
-
-ax.text(right, 0.5*(bottom + top), 'centered',
-        horizontalalignment='center',
-        verticalalignment='center',
-        rotation='vertical',
-        transform=ax.transAxes)
-
-ax.text(left, top, 'rotated\nwith newlines',
-        horizontalalignment='center',
-        verticalalignment='center',
-        rotation=45,
-        transform=ax.transAxes)
-
-axis('off')
-
-show()
diff --git a/examples/pylab_examples/anchored_artists.py b/examples/pylab_examples/anchored_artists.py
deleted file mode 100644
index f8600d0cfec4..000000000000
--- a/examples/pylab_examples/anchored_artists.py
+++ /dev/null
@@ -1,110 +0,0 @@
-from matplotlib.patches import Rectangle, Ellipse
-
-from matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox, VPacker,\
-    TextArea, DrawingArea
-
-
-class AnchoredText(AnchoredOffsetbox):
-    def __init__(self, s, loc, pad=0.4, borderpad=0.5, prop=None, frameon=True):
-
-        self.txt = TextArea(s,
-                            minimumdescent=False)
-
-        super(AnchoredText, self).__init__(loc, pad=pad, borderpad=borderpad,
-                                           child=self.txt,
-                                           prop=prop,
-                                           frameon=frameon)
-
-
-class AnchoredSizeBar(AnchoredOffsetbox):
-    def __init__(self, transform, size, label, loc,
-                 pad=0.1, borderpad=0.1, sep=2, prop=None, frameon=True):
-        """
-        Draw a horizontal bar with the size in data coordinate of the give axes.
-        A label will be drawn underneath (center-aligned).
-
-        pad, borderpad in fraction of the legend font size (or prop)
-        sep in points.
-        """
-        self.size_bar = AuxTransformBox(transform)
-        self.size_bar.add_artist(Rectangle((0, 0), size, 0, fc="none"))
-
-        self.txt_label = TextArea(label, minimumdescent=False)
-
-        self._box = VPacker(children=[self.size_bar, self.txt_label],
-                            align="center",
-                            pad=0, sep=sep)
-
-        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
-                                   child=self._box,
-                                   prop=prop,
-                                   frameon=frameon)
-
-
-class AnchoredEllipse(AnchoredOffsetbox):
-    def __init__(self, transform, width, height, angle, loc,
-                 pad=0.1, borderpad=0.1, prop=None, frameon=True):
-        """
-        Draw an ellipse the size in data coordinate of the give axes.
-
-        pad, borderpad in fraction of the legend font size (or prop)
-        """
-        self._box = AuxTransformBox(transform)
-        self.ellipse = Ellipse((0, 0), width, height, angle)
-        self._box.add_artist(self.ellipse)
-
-        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
-                                   child=self._box,
-                                   prop=prop,
-                                   frameon=frameon)
-
-
-class AnchoredDrawingArea(AnchoredOffsetbox):
-    def __init__(self, width, height, xdescent, ydescent,
-                 loc, pad=0.4, borderpad=0.5, prop=None, frameon=True):
-
-        self.da = DrawingArea(width, height, xdescent, ydescent, clip=True)
-
-        super(AnchoredDrawingArea, self).__init__(loc, pad=pad, borderpad=borderpad,
-                                                  child=self.da,
-                                                  prop=None,
-                                                  frameon=frameon)
-
-
-if __name__ == "__main__":
-
-    import matplotlib.pyplot as plt
-
-    ax = plt.gca()
-    ax.set_aspect(1.)
-
-    at = AnchoredText("Figure 1a",
-                      loc=2, frameon=True)
-    at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
-    ax.add_artist(at)
-
-    from matplotlib.patches import Circle
-    ada = AnchoredDrawingArea(20, 20, 0, 0,
-                              loc=1, pad=0., frameon=False)
-    p = Circle((10, 10), 10)
-    ada.da.add_artist(p)
-    ax.add_artist(ada)
-
-    # draw an ellipse of width=0.1, height=0.15 in the data coordinate
-    ae = AnchoredEllipse(ax.transData, width=0.1, height=0.15, angle=0.,
-                         loc=3, pad=0.5, borderpad=0.4, frameon=True)
-
-    ax.add_artist(ae)
-
-    # draw a horizontal bar with length of 0.1 in Data coordinate
-    # (ax.transData) with a label underneath.
-    asb = AnchoredSizeBar(ax.transData,
-                          0.1,
-                          r"1$^{\prime}$",
-                          loc=8,
-                          pad=0.1, borderpad=0.5, sep=5,
-                          frameon=False)
-    ax.add_artist(asb)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/pylab_examples/animation_demo.py b/examples/pylab_examples/animation_demo.py
deleted file mode 100644
index f294a189f75f..000000000000
--- a/examples/pylab_examples/animation_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-"""
-Pyplot animation example.
-
-The method shown here is only for very simple, low-performance
-use.  For more demanding applications, look at the animation
-module and the examples that use it.
-"""
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-x = np.arange(6)
-y = np.arange(5)
-z = x * y[:, np.newaxis]
-
-for i in xrange(5):
-    if i == 0:
-        p = plt.imshow(z)
-        fig = plt.gcf()
-        plt.clim()   # clamp the color limits
-        plt.title("Boring slide show")
-    else:
-        z = z + 2
-        p.set_data(z)
-
-    print("step", i)
-    plt.pause(0.5)
diff --git a/examples/pylab_examples/annotation_demo.py b/examples/pylab_examples/annotation_demo.py
deleted file mode 100644
index e58f9cac776f..000000000000
--- a/examples/pylab_examples/annotation_demo.py
+++ /dev/null
@@ -1,141 +0,0 @@
-"""
-Some examples of how to annotate points in figures.  You specify an
-annotation point xy=(x,y) and a text point xytext=(x,y) for the
-annotated points and text location, respectively.  Optionally, you can
-specify the coordinate system of xy and xytext with one of the
-following strings for xycoords and textcoords (default is 'data')
-
-
-  'figure points'   : points from the lower left corner of the figure
-  'figure pixels'   : pixels from the lower left corner of the figure
-  'figure fraction' : 0,0 is lower left of figure and 1,1 is upper, right
-  'axes points'     : points from lower left corner of axes
-  'axes pixels'     : pixels from lower left corner of axes
-  'axes fraction'   : 0,0 is lower left of axes and 1,1 is upper right
-  'offset points'   : Specify an offset (in points) from the xy value
-  'data'            : use the axes data coordinate system
-
-Optionally, you can specify arrow properties which draws and arrow
-from the text to the annotated point by giving a dictionary of arrow
-properties
-
-Valid keys are
-
-          width : the width of the arrow in points
-          frac  : the fraction of the arrow length occupied by the head
-          headwidth : the width of the base of the arrow head in points
-          shrink : move the tip and base some percent away from the
-                   annotated point and text
-          any key for matplotlib.patches.polygon  (e.g., facecolor)
-
-For physical coordinate systems (points or pixels) the origin is the
-(bottom, left) of the figure or axes.  If the value is negative,
-however, the origin is from the (right, top) of the figure or axes,
-analogous to negative indexing of sequences.
-"""
-
-
-from matplotlib.pyplot import figure, show
-from matplotlib.patches import Ellipse
-import numpy as np
-
-
-if 1:
-    # if only one location is given, the text and xypoint being
-    # annotated are assumed to be the same
-    fig = figure()
-    ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-3, 5))
-
-    t = np.arange(0.0, 5.0, 0.01)
-    s = np.cos(2*np.pi*t)
-    line, = ax.plot(t, s, lw=3, color='purple')
-
-    ax.annotate('axes center', xy=(.5, .5), xycoords='axes fraction',
-                horizontalalignment='center', verticalalignment='center')
-
-    ax.annotate('pixels', xy=(20, 20), xycoords='figure pixels')
-
-    ax.annotate('points', xy=(100, 300), xycoords='figure points')
-
-    ax.annotate('offset', xy=(1, 1), xycoords='data',
-                xytext=(-15, 10), textcoords='offset points',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='right', verticalalignment='bottom',
-                )
-
-    ax.annotate('local max', xy=(3, 1), xycoords='data',
-                xytext=(0.8, 0.95), textcoords='axes fraction',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='right', verticalalignment='top',
-                )
-
-    ax.annotate('a fractional title', xy=(.025, .975),
-                xycoords='figure fraction',
-                horizontalalignment='left', verticalalignment='top',
-                fontsize=20)
-
-    # use negative points or pixels to specify from right, top -10, 10
-    # is 10 points to the left of the right side of the axes and 10
-    # points above the bottom
-    ax.annotate('bottom right (points)', xy=(-10, 10),
-                xycoords='axes points',
-                horizontalalignment='right', verticalalignment='bottom',
-                fontsize=20)
-
-
-if 1:
-    # you can specify the xypoint and the xytext in different
-    # positions and coordinate systems, and optionally turn on a
-    # connecting line and mark the point with a marker.  Annotations
-    # work on polar axes too.  In the example below, the xy point is
-    # in native coordinates (xycoords defaults to 'data').  For a
-    # polar axes, this is in (theta, radius) space.  The text in this
-    # example is placed in the fractional figure coordinate system.
-    # Text keyword args like horizontal and vertical alignment are
-    # respected
-    fig = figure()
-    ax = fig.add_subplot(111, polar=True)
-    r = np.arange(0, 1, 0.001)
-    theta = 2*2*np.pi*r
-    line, = ax.plot(theta, r, color='#ee8d18', lw=3)
-
-    ind = 800
-    thisr, thistheta = r[ind], theta[ind]
-    ax.plot([thistheta], [thisr], 'o')
-    ax.annotate('a polar annotation',
-                xy=(thistheta, thisr),  # theta, radius
-                xytext=(0.05, 0.05),    # fraction, fraction
-                textcoords='figure fraction',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='left',
-                verticalalignment='bottom',
-                )
-
-
-if 1:
-    # You can also use polar notation on a cartesian axes.  Here the
-    # native coordinate system ('data') is cartesian, so you need to
-    # specify the xycoords and textcoords as 'polar' if you want to
-    # use (theta, radius)
-
-    el = Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)
-
-    fig = figure()
-    ax = fig.add_subplot(111, aspect='equal')
-    ax.add_artist(el)
-    el.set_clip_box(ax.bbox)
-    ax.annotate('the top',
-                xy=(np.pi/2., 10.),      # theta, radius
-                xytext=(np.pi/3, 20.),   # theta, radius
-                xycoords='polar',
-                textcoords='polar',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='left',
-                verticalalignment='bottom',
-                clip_on=True,  # clip to the axes bounding box
-                )
-
-    ax.set_xlim(-20, 20)
-    ax.set_ylim(-20, 20)
-
-show()
diff --git a/examples/pylab_examples/annotation_demo2.py b/examples/pylab_examples/annotation_demo2.py
deleted file mode 100644
index 3276a4d60d3f..000000000000
--- a/examples/pylab_examples/annotation_demo2.py
+++ /dev/null
@@ -1,153 +0,0 @@
-
-from matplotlib.pyplot import figure, show
-from matplotlib.patches import Ellipse
-import numpy as np
-
-if 1:
-    fig = figure(1, figsize=(8, 5))
-    ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-4, 3))
-
-    t = np.arange(0.0, 5.0, 0.01)
-    s = np.cos(2*np.pi*t)
-    line, = ax.plot(t, s, lw=3, color='purple')
-
-    ax.annotate('arrowstyle', xy=(0, 1), xycoords='data',
-                xytext=(-50, 30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->")
-                )
-
-    ax.annotate('arc3', xy=(0.5, -1), xycoords='data',
-                xytext=(-30, -30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="arc3,rad=.2")
-                )
-
-    ax.annotate('arc', xy=(1., 1), xycoords='data',
-                xytext=(-40, 30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="arc,angleA=0,armA=30,rad=10"),
-                )
-
-    ax.annotate('arc', xy=(1.5, -1), xycoords='data',
-                xytext=(-40, -30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="arc,angleA=0,armA=20,angleB=-90,armB=15,rad=7"),
-                )
-
-    ax.annotate('angle', xy=(2., 1), xycoords='data',
-                xytext=(-50, 30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="angle,angleA=0,angleB=90,rad=10"),
-                )
-
-    ax.annotate('angle3', xy=(2.5, -1), xycoords='data',
-                xytext=(-50, -30), textcoords='offset points',
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="angle3,angleA=0,angleB=-90"),
-                )
-
-    ax.annotate('angle', xy=(3., 1), xycoords='data',
-                xytext=(-50, 30), textcoords='offset points',
-                bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="angle,angleA=0,angleB=90,rad=10"),
-                )
-
-    ax.annotate('angle', xy=(3.5, -1), xycoords='data',
-                xytext=(-70, -60), textcoords='offset points',
-                size=20,
-                bbox=dict(boxstyle="round4,pad=.5", fc="0.8"),
-                arrowprops=dict(arrowstyle="->",
-                                connectionstyle="angle,angleA=0,angleB=-90,rad=10"),
-                )
-
-    ax.annotate('angle', xy=(4., 1), xycoords='data',
-                xytext=(-50, 30), textcoords='offset points',
-                bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="->",
-                                shrinkA=0, shrinkB=10,
-                                connectionstyle="angle,angleA=0,angleB=90,rad=10"),
-                )
-
-    ann = ax.annotate('', xy=(4., 1.), xycoords='data',
-                      xytext=(4.5, -1), textcoords='data',
-                      arrowprops=dict(arrowstyle="<->",
-                                      connectionstyle="bar",
-                                      ec="k",
-                                      shrinkA=5, shrinkB=5,
-                                      )
-                      )
-
-
-if 1:
-    fig = figure(2)
-    fig.clf()
-    ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-5, 3))
-
-    el = Ellipse((2, -1), 0.5, 0.5)
-    ax.add_patch(el)
-
-    ax.annotate('$->$', xy=(2., -1), xycoords='data',
-                xytext=(-150, -140), textcoords='offset points',
-                bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="->",
-                                patchB=el,
-                                connectionstyle="angle,angleA=90,angleB=0,rad=10"),
-                )
-
-    ax.annotate('fancy', xy=(2., -1), xycoords='data',
-                xytext=(-100, 60), textcoords='offset points',
-                size=20,
-                #bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="fancy",
-                                fc="0.6", ec="none",
-                                patchB=el,
-                                connectionstyle="angle3,angleA=0,angleB=-90"),
-                )
-
-    ax.annotate('simple', xy=(2., -1), xycoords='data',
-                xytext=(100, 60), textcoords='offset points',
-                size=20,
-                #bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="simple",
-                                fc="0.6", ec="none",
-                                patchB=el,
-                                connectionstyle="arc3,rad=0.3"),
-                )
-
-    ax.annotate('wedge', xy=(2., -1), xycoords='data',
-                xytext=(-100, -100), textcoords='offset points',
-                size=20,
-                #bbox=dict(boxstyle="round", fc="0.8"),
-                arrowprops=dict(arrowstyle="wedge,tail_width=0.7",
-                                fc="0.6", ec="none",
-                                patchB=el,
-                                connectionstyle="arc3,rad=-0.3"),
-                )
-
-    ann = ax.annotate('wedge', xy=(2., -1), xycoords='data',
-                      xytext=(0, -45), textcoords='offset points',
-                      size=20,
-                      bbox=dict(boxstyle="round", fc=(1.0, 0.7, 0.7), ec=(1., .5, .5)),
-                      arrowprops=dict(arrowstyle="wedge,tail_width=1.",
-                                      fc=(1.0, 0.7, 0.7), ec=(1., .5, .5),
-                                      patchA=None,
-                                      patchB=el,
-                                      relpos=(0.2, 0.8),
-                                      connectionstyle="arc3,rad=-0.1"),
-                      )
-
-    ann = ax.annotate('wedge', xy=(2., -1), xycoords='data',
-                      xytext=(35, 0), textcoords='offset points',
-                      size=20, va="center",
-                      bbox=dict(boxstyle="round", fc=(1.0, 0.7, 0.7), ec="none"),
-                      arrowprops=dict(arrowstyle="wedge,tail_width=1.",
-                                      fc=(1.0, 0.7, 0.7), ec="none",
-                                      patchA=None,
-                                      patchB=el,
-                                      relpos=(0.2, 0.5),
-                                      )
-                      )
-
-
-show()
diff --git a/examples/pylab_examples/annotation_demo3.py b/examples/pylab_examples/annotation_demo3.py
deleted file mode 100644
index 0c298bdbc121..000000000000
--- a/examples/pylab_examples/annotation_demo3.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import matplotlib.pyplot as plt
-
-fig, (ax1, ax2) = plt.subplots(1, 2)
-
-bbox_args = dict(boxstyle="round", fc="0.8")
-arrow_args = dict(arrowstyle="->")
-
-ax1.annotate('figure fraction : 0, 0', xy=(0, 0), xycoords='figure fraction',
-             xytext=(20, 20), textcoords='offset points',
-             ha="left", va="bottom",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-ax1.annotate('figure fraction : 1, 1', xy=(1, 1), xycoords='figure fraction',
-             xytext=(-20, -20), textcoords='offset points',
-             ha="right", va="top",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-ax1.annotate('axes fraction : 0, 0', xy=(0, 0), xycoords='axes fraction',
-             xytext=(20, 20), textcoords='offset points',
-             ha="left", va="bottom",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-ax1.annotate('axes fraction : 1, 1', xy=(1, 1), xycoords='axes fraction',
-             xytext=(-20, -20), textcoords='offset points',
-             ha="right", va="top",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-
-an1 = ax1.annotate('Drag me 1', xy=(.5, .7), xycoords='data',
-                   #xytext=(.5, .7), textcoords='data',
-                   ha="center", va="center",
-                   bbox=bbox_args,
-                   #arrowprops=arrow_args
-                   )
-
-an2 = ax1.annotate('Drag me 2', xy=(.5, .5), xycoords=an1,
-                   xytext=(.5, .3), textcoords='axes fraction',
-                   ha="center", va="center",
-                   bbox=bbox_args,
-                   arrowprops=dict(patchB=an1.get_bbox_patch(),
-                                   connectionstyle="arc3,rad=0.2",
-                                   **arrow_args)
-                   )
-
-an3 = ax1.annotate('', xy=(.5, .5), xycoords=an2,
-                   xytext=(.5, .5), textcoords=an1,
-                   ha="center", va="center",
-                   bbox=bbox_args,
-                   arrowprops=dict(patchA=an1.get_bbox_patch(),
-                                   patchB=an2.get_bbox_patch(),
-                                   connectionstyle="arc3,rad=0.2",
-                                   **arrow_args)
-                   )
-
-
-t = ax2.annotate('xy=(0, 1)\nxycoords=("data", "axes fraction")',
-                 xy=(0, 1), xycoords=("data", 'axes fraction'),
-                 xytext=(0, -20), textcoords='offset points',
-                 ha="center", va="top",
-                 bbox=bbox_args,
-                 arrowprops=arrow_args
-                 )
-
-from matplotlib.text import OffsetFrom
-
-ax2.annotate('xy=(0.5, 0)\nxycoords=artist',
-             xy=(0.5, 0.), xycoords=t,
-             xytext=(0, -20), textcoords='offset points',
-             ha="center", va="top",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-ax2.annotate('xy=(0.8, 0.5)\nxycoords=ax1.transData',
-             xy=(0.8, 0.5), xycoords=ax1.transData,
-             xytext=(10, 10), textcoords=OffsetFrom(ax2.bbox, (0, 0), "points"),
-             ha="left", va="bottom",
-             bbox=bbox_args,
-             arrowprops=arrow_args
-             )
-
-ax2.set_xlim(-2, 2)
-ax2.set_ylim(-2, 2)
-
-an1.draggable()
-an2.draggable()
-
-plt.show()
diff --git a/examples/pylab_examples/anscombe.py b/examples/pylab_examples/anscombe.py
deleted file mode 100755
index b5dd3b316d72..000000000000
--- a/examples/pylab_examples/anscombe.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-"""
-Edward Tufte uses this example from Anscombe to show 4 datasets of x
-and y that have the same mean, standard deviation, and regression
-line, but which are qualitatively different.
-
-matplotlib fun for a rainy day
-"""
-
-from pylab import *
-
-x = array([10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5])
-y1 = array([8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68])
-y2 = array([9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74])
-y3 = array([7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73])
-x4 = array([8, 8, 8, 8, 8, 8, 8, 19, 8, 8, 8])
-y4 = array([6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89])
-
-
-def fit(x):
-    return 3 + 0.5*x
-
-
-xfit = array([amin(x), amax(x)])
-
-subplot(221)
-plot(x, y1, 'ks', xfit, fit(xfit), 'r-', lw=2)
-axis([2, 20, 2, 14])
-setp(gca(), xticklabels=[], yticks=(4, 8, 12), xticks=(0, 10, 20))
-text(3, 12, 'I', fontsize=20)
-
-subplot(222)
-plot(x, y2, 'ks', xfit, fit(xfit), 'r-', lw=2)
-axis([2, 20, 2, 14])
-setp(gca(), xticklabels=[], yticks=(4, 8, 12), yticklabels=[], xticks=(0, 10, 20))
-text(3, 12, 'II', fontsize=20)
-
-subplot(223)
-plot(x, y3, 'ks', xfit, fit(xfit), 'r-', lw=2)
-axis([2, 20, 2, 14])
-text(3, 12, 'III', fontsize=20)
-setp(gca(), yticks=(4, 8, 12), xticks=(0, 10, 20))
-
-subplot(224)
-
-xfit = array([amin(x4), amax(x4)])
-plot(x4, y4, 'ks', xfit, fit(xfit), 'r-', lw=2)
-axis([2, 20, 2, 14])
-setp(gca(), yticklabels=[], yticks=(4, 8, 12), xticks=(0, 10, 20))
-text(3, 12, 'IV', fontsize=20)
-
-# verify the stats
-pairs = (x, y1), (x, y2), (x, y3), (x4, y4)
-for x, y in pairs:
-    print('mean=%1.2f, std=%1.2f, r=%1.2f' % (mean(y), std(y), corrcoef(x, y)[0][1]))
-
-show()
diff --git a/examples/pylab_examples/arctest.py b/examples/pylab_examples/arctest.py
deleted file mode 100644
index b915f0075c93..000000000000
--- a/examples/pylab_examples/arctest.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-
-def f(t):
-    'a damped exponential'
-    s1 = cos(2*pi*t)
-    e1 = exp(-t)
-    return multiply(s1, e1)
-
-t1 = arange(0.0, 5.0, .2)
-
-
-l = plot(t1, f(t1), 'ro')
-setp(l, 'markersize', 30)
-setp(l, 'markerfacecolor', 'b')
-
-show()
diff --git a/examples/pylab_examples/arrow_demo.py b/examples/pylab_examples/arrow_demo.py
deleted file mode 100644
index afd4d2a3e30f..000000000000
--- a/examples/pylab_examples/arrow_demo.py
+++ /dev/null
@@ -1,312 +0,0 @@
-#!/usr/bin/env python
-"""Arrow drawing example for the new fancy_arrow facilities.
-
-Code contributed by: Rob Knight <rob@spot.colorado.edu>
-
-usage:
-
-  python arrow_demo.py realistic|full|sample|extreme
-
-
-"""
-from pylab import *
-
-rates_to_bases = {'r1': 'AT', 'r2': 'TA', 'r3': 'GA', 'r4': 'AG', 'r5': 'CA', 'r6': 'AC',
-                  'r7': 'GT', 'r8': 'TG', 'r9': 'CT', 'r10': 'TC', 'r11': 'GC', 'r12': 'CG'}
-numbered_bases_to_rates = dict([(v, k) for k, v in rates_to_bases.items()])
-lettered_bases_to_rates = dict([(v, 'r' + v) for k, v in rates_to_bases.items()])
-
-
-def add_dicts(d1, d2):
-    """Adds two dicts and returns the result."""
-    result = d1.copy()
-    result.update(d2)
-    return result
-
-
-def make_arrow_plot(data, size=4, display='length', shape='right',
-                    max_arrow_width=0.03, arrow_sep=0.02, alpha=0.5,
-                    normalize_data=False, ec=None, labelcolor=None,
-                    head_starts_at_zero=True, rate_labels=lettered_bases_to_rates,
-                    **kwargs):
-    """Makes an arrow plot.
-
-    Parameters:
-
-    data: dict with probabilities for the bases and pair transitions.
-    size: size of the graph in inches.
-    display: 'length', 'width', or 'alpha' for arrow property to change.
-    shape: 'full', 'left', or 'right' for full or half arrows.
-    max_arrow_width: maximum width of an arrow, data coordinates.
-    arrow_sep: separation between arrows in a pair, data coordinates.
-    alpha: maximum opacity of arrows, default 0.8.
-
-    **kwargs can be anything allowed by a Arrow object, e.g.
-    linewidth and edgecolor.
-    """
-
-    xlim(-0.5, 1.5)
-    ylim(-0.5, 1.5)
-    gcf().set_size_inches(size, size)
-    xticks([])
-    yticks([])
-    max_text_size = size*12
-    min_text_size = size
-    label_text_size = size*2.5
-    text_params = {'ha': 'center', 'va': 'center', 'family': 'sans-serif',
-                   'fontweight': 'bold'}
-    r2 = sqrt(2)
-
-    deltas = {
-        'AT': (1, 0),
-        'TA': (-1, 0),
-        'GA': (0, 1),
-        'AG': (0, -1),
-        'CA': (-1/r2, 1/r2),
-        'AC': (1/r2, -1/r2),
-        'GT': (1/r2, 1/r2),
-        'TG': (-1/r2, -1/r2),
-        'CT': (0, 1),
-        'TC': (0, -1),
-        'GC': (1, 0),
-        'CG': (-1, 0)
-        }
-
-    colors = {
-        'AT': 'r',
-        'TA': 'k',
-        'GA': 'g',
-        'AG': 'r',
-        'CA': 'b',
-        'AC': 'r',
-        'GT': 'g',
-        'TG': 'k',
-        'CT': 'b',
-        'TC': 'k',
-        'GC': 'g',
-        'CG': 'b'
-        }
-
-    label_positions = {
-        'AT': 'center',
-        'TA': 'center',
-        'GA': 'center',
-        'AG': 'center',
-        'CA': 'left',
-        'AC': 'left',
-        'GT': 'left',
-        'TG': 'left',
-        'CT': 'center',
-        'TC': 'center',
-        'GC': 'center',
-        'CG': 'center'
-        }
-
-    def do_fontsize(k):
-        return float(clip(max_text_size*sqrt(data[k]),
-                          min_text_size, max_text_size))
-
-    A = text(0, 1, '$A_3$', color='r', size=do_fontsize('A'), **text_params)
-    T = text(1, 1, '$T_3$', color='k', size=do_fontsize('T'), **text_params)
-    G = text(0, 0, '$G_3$', color='g', size=do_fontsize('G'), **text_params)
-    C = text(1, 0, '$C_3$', color='b', size=do_fontsize('C'), **text_params)
-
-    arrow_h_offset = 0.25  # data coordinates, empirically determined
-    max_arrow_length = 1 - 2*arrow_h_offset
-
-    max_arrow_width = max_arrow_width
-    max_head_width = 2.5*max_arrow_width
-    max_head_length = 2*max_arrow_width
-    arrow_params = {'length_includes_head': True, 'shape': shape,
-                    'head_starts_at_zero': head_starts_at_zero}
-    ax = gca()
-    sf = 0.6  # max arrow size represents this in data coords
-
-    d = (r2/2 + arrow_h_offset - 0.5)/r2  # distance for diags
-    r2v = arrow_sep/r2  # offset for diags
-
-    # tuple of x, y for start position
-    positions = {
-        'AT': (arrow_h_offset, 1 + arrow_sep),
-        'TA': (1 - arrow_h_offset, 1 - arrow_sep),
-        'GA': (-arrow_sep, arrow_h_offset),
-        'AG': (arrow_sep, 1 - arrow_h_offset),
-        'CA': (1 - d - r2v, d - r2v),
-        'AC': (d + r2v, 1 - d + r2v),
-        'GT': (d - r2v, d + r2v),
-        'TG': (1 - d + r2v, 1 - d - r2v),
-        'CT': (1 - arrow_sep, arrow_h_offset),
-        'TC': (1 + arrow_sep, 1 - arrow_h_offset),
-        'GC': (arrow_h_offset, arrow_sep),
-        'CG': (1 - arrow_h_offset, -arrow_sep),
-        }
-
-    if normalize_data:
-        # find maximum value for rates, i.e. where keys are 2 chars long
-        max_val = 0
-        for k, v in data.items():
-            if len(k) == 2:
-                max_val = max(max_val, v)
-        # divide rates by max val, multiply by arrow scale factor
-        for k, v in data.items():
-            data[k] = v/max_val*sf
-
-    def draw_arrow(pair, alpha=alpha, ec=ec, labelcolor=labelcolor):
-        # set the length of the arrow
-        if display == 'length':
-            length = max_head_length + data[pair]/sf*(max_arrow_length -
-                                                      max_head_length)
-        else:
-            length = max_arrow_length
-        # set the transparency of the arrow
-        if display == 'alph':
-            alpha = min(data[pair]/sf, alpha)
-        else:
-            alpha = alpha
-        # set the width of the arrow
-        if display == 'width':
-            scale = data[pair]/sf
-            width = max_arrow_width*scale
-            head_width = max_head_width*scale
-            head_length = max_head_length*scale
-        else:
-            width = max_arrow_width
-            head_width = max_head_width
-            head_length = max_head_length
-
-        fc = colors[pair]
-        ec = ec or fc
-
-        x_scale, y_scale = deltas[pair]
-        x_pos, y_pos = positions[pair]
-        arrow(x_pos, y_pos, x_scale*length, y_scale*length,
-              fc=fc, ec=ec, alpha=alpha, width=width, head_width=head_width,
-              head_length=head_length, **arrow_params)
-
-        # figure out coordinates for text
-        # if drawing relative to base: x and y are same as for arrow
-        # dx and dy are one arrow width left and up
-        # need to rotate based on direction of arrow, use x_scale and y_scale
-        # as sin x and cos x?
-        sx, cx = y_scale, x_scale
-
-        where = label_positions[pair]
-        if where == 'left':
-            orig_position = 3*array([[max_arrow_width, max_arrow_width]])
-        elif where == 'absolute':
-            orig_position = array([[max_arrow_length/2.0, 3*max_arrow_width]])
-        elif where == 'right':
-            orig_position = array([[length - 3*max_arrow_width,
-                                    3*max_arrow_width]])
-        elif where == 'center':
-            orig_position = array([[length/2.0, 3*max_arrow_width]])
-        else:
-            raise ValueError("Got unknown position parameter %s" % where)
-
-        M = array([[cx, sx], [-sx, cx]])
-        coords = dot(orig_position, M) + [[x_pos, y_pos]]
-        x, y = ravel(coords)
-        orig_label = rate_labels[pair]
-        label = '$%s_{_{\mathrm{%s}}}$' % (orig_label[0], orig_label[1:])
-
-        text(x, y, label, size=label_text_size, ha='center', va='center',
-             color=labelcolor or fc)
-
-    for p in positions.keys():
-        draw_arrow(p)
-
-# test data
-all_on_max = dict([(i, 1) for i in 'TCAG'] +
-                  [(i + j, 0.6) for i in 'TCAG' for j in 'TCAG'])
-
-realistic_data = {
-    'A': 0.4,
-    'T': 0.3,
-    'G': 0.5,
-    'C': 0.2,
-    'AT': 0.4,
-    'AC': 0.3,
-    'AG': 0.2,
-    'TA': 0.2,
-    'TC': 0.3,
-    'TG': 0.4,
-    'CT': 0.2,
-    'CG': 0.3,
-    'CA': 0.2,
-    'GA': 0.1,
-    'GT': 0.4,
-    'GC': 0.1,
-    }
-
-extreme_data = {
-    'A': 0.75,
-    'T': 0.10,
-    'G': 0.10,
-    'C': 0.05,
-    'AT': 0.6,
-    'AC': 0.3,
-    'AG': 0.1,
-    'TA': 0.02,
-    'TC': 0.3,
-    'TG': 0.01,
-    'CT': 0.2,
-    'CG': 0.5,
-    'CA': 0.2,
-    'GA': 0.1,
-    'GT': 0.4,
-    'GC': 0.2,
-    }
-
-sample_data = {
-    'A': 0.2137,
-    'T': 0.3541,
-    'G': 0.1946,
-    'C': 0.2376,
-    'AT': 0.0228,
-    'AC': 0.0684,
-    'AG': 0.2056,
-    'TA': 0.0315,
-    'TC': 0.0629,
-    'TG': 0.0315,
-    'CT': 0.1355,
-    'CG': 0.0401,
-    'CA': 0.0703,
-    'GA': 0.1824,
-    'GT': 0.0387,
-    'GC': 0.1106,
-    }
-
-
-if __name__ == '__main__':
-    from sys import argv
-    d = None
-    if len(argv) > 1:
-        if argv[1] == 'full':
-            d = all_on_max
-            scaled = False
-        elif argv[1] == 'extreme':
-            d = extreme_data
-            scaled = False
-        elif argv[1] == 'realistic':
-            d = realistic_data
-            scaled = False
-        elif argv[1] == 'sample':
-            d = sample_data
-            scaled = True
-    if d is None:
-        d = all_on_max
-        scaled = False
-    if len(argv) > 2:
-        display = argv[2]
-    else:
-        display = 'length'
-
-    size = 4
-    figure(figsize=(size, size))
-
-    make_arrow_plot(d, display=display, linewidth=0.001, edgecolor=None,
-                    normalize_data=scaled, head_starts_at_zero=True, size=size)
-
-    draw()
-
-    show()
diff --git a/examples/pylab_examples/arrow_simple_demo.py b/examples/pylab_examples/arrow_simple_demo.py
deleted file mode 100644
index 65fb5a9eabc3..000000000000
--- a/examples/pylab_examples/arrow_simple_demo.py
+++ /dev/null
@@ -1,5 +0,0 @@
-import matplotlib.pyplot as plt
-
-ax = plt.axes()
-ax.arrow(0, 0, 0.5, 0.5, head_width=0.05, head_length=0.1, fc='k', ec='k')
-plt.show()
diff --git a/examples/pylab_examples/axes_demo.py b/examples/pylab_examples/axes_demo.py
deleted file mode 100644
index fc3ec16227a7..000000000000
--- a/examples/pylab_examples/axes_demo.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-from pylab import *
-
-# create some data to use for the plot
-dt = 0.001
-t = arange(0.0, 10.0, dt)
-r = exp(-t[:1000]/0.05)               # impulse response
-x = randn(len(t))
-s = convolve(x, r)[:len(x)]*dt  # colored noise
-
-# the main axes is subplot(111) by default
-plot(t, s)
-axis([0, 1, 1.1*amin(s), 2*amax(s)])
-xlabel('time (s)')
-ylabel('current (nA)')
-title('Gaussian colored noise')
-
-# this is an inset axes over the main axes
-a = axes([.65, .6, .2, .2], axisbg='y')
-n, bins, patches = hist(s, 400, normed=1)
-title('Probability')
-setp(a, xticks=[], yticks=[])
-
-# this is another inset axes over the main axes
-a = axes([0.2, 0.6, .2, .2], axisbg='y')
-plot(t[:len(r)], r)
-title('Impulse response')
-setp(a, xlim=(0, .2), xticks=[], yticks=[])
-
-
-show()
diff --git a/examples/pylab_examples/axes_props.py b/examples/pylab_examples/axes_props.py
deleted file mode 100644
index 4ae17f380384..000000000000
--- a/examples/pylab_examples/axes_props.py
+++ /dev/null
@@ -1,61 +0,0 @@
-#!/usr/bin/env python
-"""
-You can control the axis tick and grid properties
-"""
-
-from pylab import *
-
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-plot(t, s)
-grid(True)
-
-# MATLAB style
-xticklines = getp(gca(), 'xticklines')
-yticklines = getp(gca(), 'yticklines')
-xgridlines = getp(gca(), 'xgridlines')
-ygridlines = getp(gca(), 'ygridlines')
-xticklabels = getp(gca(), 'xticklabels')
-yticklabels = getp(gca(), 'yticklabels')
-
-setp(xticklines, 'linewidth', 3)
-setp(yticklines, 'linewidth', 3)
-setp(xgridlines, 'linestyle', '-')
-setp(ygridlines, 'linestyle', '-')
-setp(yticklabels, 'color', 'r', fontsize='medium')
-setp(xticklabels, 'color', 'r', fontsize='medium')
-
-
-show()
-
-
-"""
-# the same script, python style
-from pylab import *
-
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-fig, ax = plt.subplots()
-ax.plot(t, s)
-ax.grid(True)
-
-ticklines = ax.get_xticklines()
-ticklines.extend( ax.get_yticklines() )
-gridlines = ax.get_xgridlines()
-gridlines.extend( ax.get_ygridlines() )
-ticklabels = ax.get_xticklabels()
-ticklabels.extend( ax.get_yticklabels() )
-
-for line in ticklines:
-    line.set_linewidth(3)
-
-for line in gridlines:
-    line.set_linestyle('-')
-
-for label in ticklabels:
-    label.set_color('r')
-    label.set_fontsize('medium')
-
-show()
-
-"""
diff --git a/examples/pylab_examples/axes_zoom_effect.py b/examples/pylab_examples/axes_zoom_effect.py
deleted file mode 100644
index e34a3cebc2a3..000000000000
--- a/examples/pylab_examples/axes_zoom_effect.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from matplotlib.transforms import Bbox, TransformedBbox, \
-    blended_transform_factory
-
-from mpl_toolkits.axes_grid1.inset_locator import BboxPatch, BboxConnector,\
-    BboxConnectorPatch
-
-
-def connect_bbox(bbox1, bbox2,
-                 loc1a, loc2a, loc1b, loc2b,
-                 prop_lines, prop_patches=None):
-    if prop_patches is None:
-        prop_patches = prop_lines.copy()
-        prop_patches["alpha"] = prop_patches.get("alpha", 1)*0.2
-
-    c1 = BboxConnector(bbox1, bbox2, loc1=loc1a, loc2=loc2a, **prop_lines)
-    c1.set_clip_on(False)
-    c2 = BboxConnector(bbox1, bbox2, loc1=loc1b, loc2=loc2b, **prop_lines)
-    c2.set_clip_on(False)
-
-    bbox_patch1 = BboxPatch(bbox1, **prop_patches)
-    bbox_patch2 = BboxPatch(bbox2, **prop_patches)
-
-    p = BboxConnectorPatch(bbox1, bbox2,
-                           # loc1a=3, loc2a=2, loc1b=4, loc2b=1,
-                           loc1a=loc1a, loc2a=loc2a, loc1b=loc1b, loc2b=loc2b,
-                           **prop_patches)
-    p.set_clip_on(False)
-
-    return c1, c2, bbox_patch1, bbox_patch2, p
-
-
-def zoom_effect01(ax1, ax2, xmin, xmax, **kwargs):
-    """
-    ax1 : the main axes
-    ax1 : the zoomed axes
-    (xmin,xmax) : the limits of the colored area in both plot axes.
-
-    connect ax1 & ax2. The x-range of (xmin, xmax) in both axes will
-    be marked.  The keywords parameters will be used ti create
-    patches.
-
-    """
-
-    trans1 = blended_transform_factory(ax1.transData, ax1.transAxes)
-    trans2 = blended_transform_factory(ax2.transData, ax2.transAxes)
-
-    bbox = Bbox.from_extents(xmin, 0, xmax, 1)
-
-    mybbox1 = TransformedBbox(bbox, trans1)
-    mybbox2 = TransformedBbox(bbox, trans2)
-
-    prop_patches = kwargs.copy()
-    prop_patches["ec"] = "none"
-    prop_patches["alpha"] = 0.2
-
-    c1, c2, bbox_patch1, bbox_patch2, p = \
-        connect_bbox(mybbox1, mybbox2,
-                     loc1a=3, loc2a=2, loc1b=4, loc2b=1,
-                     prop_lines=kwargs, prop_patches=prop_patches)
-
-    ax1.add_patch(bbox_patch1)
-    ax2.add_patch(bbox_patch2)
-    ax2.add_patch(c1)
-    ax2.add_patch(c2)
-    ax2.add_patch(p)
-
-    return c1, c2, bbox_patch1, bbox_patch2, p
-
-
-def zoom_effect02(ax1, ax2, **kwargs):
-    """
-    ax1 : the main axes
-    ax1 : the zoomed axes
-
-    Similar to zoom_effect01.  The xmin & xmax will be taken from the
-    ax1.viewLim.
-    """
-
-    tt = ax1.transScale + (ax1.transLimits + ax2.transAxes)
-    trans = blended_transform_factory(ax2.transData, tt)
-
-    mybbox1 = ax1.bbox
-    mybbox2 = TransformedBbox(ax1.viewLim, trans)
-
-    prop_patches = kwargs.copy()
-    prop_patches["ec"] = "none"
-    prop_patches["alpha"] = 0.2
-
-    c1, c2, bbox_patch1, bbox_patch2, p = \
-        connect_bbox(mybbox1, mybbox2,
-                     loc1a=3, loc2a=2, loc1b=4, loc2b=1,
-                     prop_lines=kwargs, prop_patches=prop_patches)
-
-    ax1.add_patch(bbox_patch1)
-    ax2.add_patch(bbox_patch2)
-    ax2.add_patch(c1)
-    ax2.add_patch(c2)
-    ax2.add_patch(p)
-
-    return c1, c2, bbox_patch1, bbox_patch2, p
-
-
-import matplotlib.pyplot as plt
-
-plt.figure(1, figsize=(5, 5))
-ax1 = plt.subplot(221)
-ax2 = plt.subplot(212)
-ax2.set_xlim(0, 1)
-ax2.set_xlim(0, 5)
-zoom_effect01(ax1, ax2, 0.2, 0.8)
-
-
-ax1 = plt.subplot(222)
-ax1.set_xlim(2, 3)
-ax2.set_xlim(0, 5)
-zoom_effect02(ax1, ax2)
-
-plt.show()
diff --git a/examples/pylab_examples/axhspan_demo.py b/examples/pylab_examples/axhspan_demo.py
deleted file mode 100644
index 603da4a9e3e8..000000000000
--- a/examples/pylab_examples/axhspan_demo.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-t = np.arange(-1, 2, .01)
-s = np.sin(2*np.pi*t)
-
-plt.plot(t, s)
-# draw a thick red hline at y=0 that spans the xrange
-l = plt.axhline(linewidth=4, color='r')
-
-# draw a default hline at y=1 that spans the xrange
-l = plt.axhline(y=1)
-
-# draw a default vline at x=1 that spans the yrange
-l = plt.axvline(x=1)
-
-# draw a thick blue vline at x=0 that spans the upper quadrant of
-# the yrange
-l = plt.axvline(x=0, ymin=0.75, linewidth=4, color='b')
-
-# draw a default hline at y=.5 that spans the the middle half of
-# the axes
-l = plt.axhline(y=.5, xmin=0.25, xmax=0.75)
-
-p = plt.axhspan(0.25, 0.75, facecolor='0.5', alpha=0.5)
-
-p = plt.axvspan(1.25, 1.55, facecolor='g', alpha=0.5)
-
-plt.axis([-1, 2, -1, 2])
-
-
-plt.show()
diff --git a/examples/pylab_examples/axis_equal_demo.py b/examples/pylab_examples/axis_equal_demo.py
deleted file mode 100644
index b05ff7fff9e5..000000000000
--- a/examples/pylab_examples/axis_equal_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-'''This example is only interesting when ran in interactive mode'''
-
-from pylab import *
-
-# Plot circle or radius 3
-
-an = linspace(0, 2*pi, 100)
-
-subplot(221)
-plot(3*cos(an), 3*sin(an))
-title('not equal, looks like ellipse', fontsize=10)
-
-subplot(222)
-plot(3*cos(an), 3*sin(an))
-axis('equal')
-title('equal, looks like circle', fontsize=10)
-
-subplot(223)
-plot(3*cos(an), 3*sin(an))
-axis('equal')
-axis([-3, 3, -3, 3])
-title('looks like circle, even after changing limits', fontsize=10)
-
-subplot(224)
-plot(3*cos(an), 3*sin(an))
-axis('equal')
-axis([-3, 3, -3, 3])
-plot([0, 4], [0, 4])
-title('still equal after adding line', fontsize=10)
-
-show()
diff --git a/examples/pylab_examples/bar_stacked.py b/examples/pylab_examples/bar_stacked.py
deleted file mode 100644
index d8be34b11926..000000000000
--- a/examples/pylab_examples/bar_stacked.py
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env python
-# a stacked bar plot with errorbars
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-N = 5
-menMeans = (20, 35, 30, 35, 27)
-womenMeans = (25, 32, 34, 20, 25)
-menStd = (2, 3, 4, 1, 2)
-womenStd = (3, 5, 2, 3, 3)
-ind = np.arange(N)    # the x locations for the groups
-width = 0.35       # the width of the bars: can also be len(x) sequence
-
-p1 = plt.bar(ind, menMeans, width, color='r', yerr=womenStd)
-p2 = plt.bar(ind, womenMeans, width, color='y',
-             bottom=menMeans, yerr=menStd)
-
-plt.ylabel('Scores')
-plt.title('Scores by group and gender')
-plt.xticks(ind + width/2., ('G1', 'G2', 'G3', 'G4', 'G5'))
-plt.yticks(np.arange(0, 81, 10))
-plt.legend((p1[0], p2[0]), ('Men', 'Women'))
-
-plt.show()
diff --git a/examples/pylab_examples/barb_demo.py b/examples/pylab_examples/barb_demo.py
deleted file mode 100644
index 5681dacf4c8e..000000000000
--- a/examples/pylab_examples/barb_demo.py
+++ /dev/null
@@ -1,53 +0,0 @@
-'''
-Demonstration of wind barb plots
-'''
-import matplotlib.pyplot as plt
-import numpy as np
-
-x = np.linspace(-5, 5, 5)
-X, Y = np.meshgrid(x, x)
-U, V = 12*X, 12*Y
-
-data = [(-1.5, .5, -6, -6),
-        (1, -1, -46, 46),
-        (-3, -1, 11, -11),
-        (1, 1.5, 80, 80),
-        (0.5, 0.25, 25, 15),
-        (-1.5, -0.5, -5, 40)]
-
-data = np.array(data, dtype=[('x', np.float32), ('y', np.float32),
-                             ('u', np.float32), ('v', np.float32)])
-
-# Default parameters, uniform grid
-ax = plt.subplot(2, 2, 1)
-ax.barbs(X, Y, U, V)
-
-# Arbitrary set of vectors, make them longer and change the pivot point
-#(point around which they're rotated) to be the middle
-ax = plt.subplot(2, 2, 2)
-ax.barbs(data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle')
-
-# Showing colormapping with uniform grid.  Fill the circle for an empty barb,
-# don't round the values, and change some of the size parameters
-ax = plt.subplot(2, 2, 3)
-ax.barbs(X, Y, U, V, np.sqrt(U*U + V*V), fill_empty=True, rounding=False,
-         sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
-
-# Change colors as well as the increments for parts of the barbs
-ax = plt.subplot(2, 2, 4)
-ax.barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r',
-         barbcolor=['b', 'g'], barb_increments=dict(half=10, full=20, flag=100),
-         flip_barb=True)
-
-# Masked arrays are also supported
-masked_u = np.ma.masked_array(data['u'])
-masked_u[4] = 1000  # Bad value that should not be plotted when masked
-masked_u[4] = np.ma.masked
-
-# Identical plot to panel 2 in the first figure, but with the point at
-#(0.5, 0.25) missing (masked)
-fig2 = plt.figure()
-ax = fig2.add_subplot(1, 1, 1)
-ax.barbs(data['x'], data['y'], masked_u, data['v'], length=8, pivot='middle')
-
-plt.show()
diff --git a/examples/pylab_examples/barchart_demo.py b/examples/pylab_examples/barchart_demo.py
deleted file mode 100644
index 5d591f45cc90..000000000000
--- a/examples/pylab_examples/barchart_demo.py
+++ /dev/null
@@ -1,45 +0,0 @@
-"""
-Bar chart demo with pairs of bars grouped for easy comparison.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-n_groups = 5
-
-means_men = (20, 35, 30, 35, 27)
-std_men = (2, 3, 4, 1, 2)
-
-means_women = (25, 32, 34, 20, 25)
-std_women = (3, 5, 2, 3, 3)
-
-fig, ax = plt.subplots()
-
-index = np.arange(n_groups)
-bar_width = 0.35
-
-opacity = 0.4
-error_config = {'ecolor': '0.3'}
-
-rects1 = plt.bar(index, means_men, bar_width,
-                 alpha=opacity,
-                 color='b',
-                 yerr=std_men,
-                 error_kw=error_config,
-                 label='Men')
-
-rects2 = plt.bar(index + bar_width, means_women, bar_width,
-                 alpha=opacity,
-                 color='r',
-                 yerr=std_women,
-                 error_kw=error_config,
-                 label='Women')
-
-plt.xlabel('Group')
-plt.ylabel('Scores')
-plt.title('Scores by group and gender')
-plt.xticks(index + bar_width, ('A', 'B', 'C', 'D', 'E'))
-plt.legend()
-
-plt.tight_layout()
-plt.show()
diff --git a/examples/pylab_examples/barchart_demo2.py b/examples/pylab_examples/barchart_demo2.py
deleted file mode 100644
index 7d1d411d37a5..000000000000
--- a/examples/pylab_examples/barchart_demo2.py
+++ /dev/null
@@ -1,114 +0,0 @@
-"""
-Thanks Josh Hemann for the example
-
-This examples comes from an application in which grade school gym
-teachers wanted to be able to show parents how their child did across
-a handful of fitness tests, and importantly, relative to how other
-children did. To extract the plotting code for demo purposes, we'll
-just make up some data for little Johnny Doe...
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import pylab
-from matplotlib.ticker import MaxNLocator
-
-student = 'Johnny Doe'
-grade = 2
-gender = 'boy'
-cohortSize = 62  # The number of other 2nd grade boys
-
-numTests = 5
-testNames = ['Pacer Test', 'Flexed Arm\n Hang', 'Mile Run', 'Agility',
-             'Push Ups']
-testMeta = ['laps', 'sec', 'min:sec', 'sec', '']
-scores = ['7', '48', '12:52', '17', '14']
-rankings = np.round(np.random.uniform(0, 1, numTests)*100, 0)
-
-
-fig, ax1 = plt.subplots(figsize=(9, 7))
-plt.subplots_adjust(left=0.115, right=0.88)
-fig.canvas.set_window_title('Eldorado K-8 Fitness Chart')
-pos = np.arange(numTests) + 0.5  # Center bars on the Y-axis ticks
-rects = ax1.barh(pos, rankings, align='center', height=0.5, color='m')
-
-ax1.axis([0, 100, 0, 5])
-pylab.yticks(pos, testNames)
-ax1.set_title('Johnny Doe')
-plt.text(50, -0.5, 'Cohort Size: ' + str(cohortSize),
-         horizontalalignment='center', size='small')
-
-# Set the right-hand Y-axis ticks and labels and set X-axis tick marks at the
-# deciles
-ax2 = ax1.twinx()
-ax2.plot([100, 100], [0, 5], 'white', alpha=0.1)
-ax2.xaxis.set_major_locator(MaxNLocator(11))
-xticks = pylab.setp(ax2, xticklabels=['0', '10', '20', '30', '40', '50', '60',
-                                      '70', '80', '90', '100'])
-ax2.xaxis.grid(True, linestyle='--', which='major', color='grey',
-               alpha=0.25)
-# Plot a solid vertical gridline to highlight the median position
-plt.plot([50, 50], [0, 5], 'grey', alpha=0.25)
-
-# Build up the score labels for the right Y-axis by first appending a carriage
-# return to each string and then tacking on the appropriate meta information
-# (i.e., 'laps' vs 'seconds'). We want the labels centered on the ticks, so if
-# there is no meta info (like for pushups) then don't add the carriage return to
-# the string
-
-
-def withnew(i, scr):
-    if testMeta[i] != '':
-        return '%s\n' % scr
-    else:
-        return scr
-
-scoreLabels = [withnew(i, scr) for i, scr in enumerate(scores)]
-scoreLabels = [i + j for i, j in zip(scoreLabels, testMeta)]
-# set the tick locations
-ax2.set_yticks(pos)
-# set the tick labels
-ax2.set_yticklabels(scoreLabels)
-# make sure that the limits are set equally on both yaxis so the ticks line up
-ax2.set_ylim(ax1.get_ylim())
-
-
-ax2.set_ylabel('Test Scores')
-# Make list of numerical suffixes corresponding to position in a list
-#            0     1     2     3     4     5     6     7     8     9
-suffixes = ['th', 'st', 'nd', 'rd', 'th', 'th', 'th', 'th', 'th', 'th']
-ax2.set_xlabel('Percentile Ranking Across ' + str(grade) + suffixes[grade]
-               + ' Grade ' + gender.title() + 's')
-
-# Lastly, write in the ranking inside each bar to aid in interpretation
-for rect in rects:
-    # Rectangle widths are already integer-valued but are floating
-    # type, so it helps to remove the trailing decimal point and 0 by
-    # converting width to int type
-    width = int(rect.get_width())
-
-    # Figure out what the last digit (width modulo 10) so we can add
-    # the appropriate numerical suffix (e.g., 1st, 2nd, 3rd, etc)
-    lastDigit = width % 10
-    # Note that 11, 12, and 13 are special cases
-    if (width == 11) or (width == 12) or (width == 13):
-        suffix = 'th'
-    else:
-        suffix = suffixes[lastDigit]
-
-    rankStr = str(width) + suffix
-    if (width < 5):        # The bars aren't wide enough to print the ranking inside
-        xloc = width + 1   # Shift the text to the right side of the right edge
-        clr = 'black'      # Black against white background
-        align = 'left'
-    else:
-        xloc = 0.98*width  # Shift the text to the left side of the right edge
-        clr = 'white'      # White on magenta
-        align = 'right'
-
-    # Center the text vertically in the bar
-    yloc = rect.get_y() + rect.get_height()/2.0
-    ax1.text(xloc, yloc, rankStr, horizontalalignment=align,
-             verticalalignment='center', color=clr, weight='bold')
-
-plt.show()
diff --git a/examples/pylab_examples/barcode_demo.py b/examples/pylab_examples/barcode_demo.py
deleted file mode 100644
index 5178a9fc2683..000000000000
--- a/examples/pylab_examples/barcode_demo.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from matplotlib.pyplot import figure, show, cm
-from numpy import where
-from numpy.random import rand
-
-# the bar
-x = where(rand(500) > 0.7, 1.0, 0.0)
-
-axprops = dict(xticks=[], yticks=[])
-barprops = dict(aspect='auto', cmap=cm.binary, interpolation='nearest')
-
-fig = figure()
-
-# a vertical barcode -- this is broken at present
-x.shape = len(x), 1
-ax = fig.add_axes([0.1, 0.3, 0.1, 0.6], **axprops)
-ax.imshow(x, **barprops)
-
-x = x.copy()
-# a horizontal barcode
-x.shape = 1, len(x)
-ax = fig.add_axes([0.3, 0.1, 0.6, 0.1], **axprops)
-ax.imshow(x, **barprops)
-
-
-show()
diff --git a/examples/pylab_examples/boxplot_demo.py b/examples/pylab_examples/boxplot_demo.py
deleted file mode 100644
index 4dd53cd3487d..000000000000
--- a/examples/pylab_examples/boxplot_demo.py
+++ /dev/null
@@ -1,57 +0,0 @@
-#!/usr/bin/python
-
-#
-# Example boxplot code
-#
-
-from pylab import *
-
-# fake up some data
-spread = rand(50) * 100
-center = ones(25) * 50
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-data = concatenate((spread, center, flier_high, flier_low), 0)
-
-# basic plot
-boxplot(data)
-
-# notched plot
-figure()
-boxplot(data, 1)
-
-# change outlier point symbols
-figure()
-boxplot(data, 0, 'gD')
-
-# don't show outlier points
-figure()
-boxplot(data, 0, '')
-
-# horizontal boxes
-figure()
-boxplot(data, 0, 'rs', 0)
-
-# change whisker length
-figure()
-boxplot(data, 0, 'rs', 0, 0.75)
-
-# fake up some more data
-spread = rand(50) * 100
-center = ones(25) * 40
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-d2 = concatenate((spread, center, flier_high, flier_low), 0)
-data.shape = (-1, 1)
-d2.shape = (-1, 1)
-#data = concatenate( (data, d2), 1 )
-# Making a 2-D array only works if all the columns are the
-# same length.  If they are not, then use a list instead.
-# This is actually more efficient because boxplot converts
-# a 2-D array into a list of vectors internally anyway.
-data = [data, d2, d2[::2, 0]]
-# multiple box plots on one figure
-figure()
-boxplot(data)
-
-show()
diff --git a/examples/pylab_examples/boxplot_demo2.py b/examples/pylab_examples/boxplot_demo2.py
deleted file mode 100644
index 8249c689110f..000000000000
--- a/examples/pylab_examples/boxplot_demo2.py
+++ /dev/null
@@ -1,120 +0,0 @@
-"""
-Thanks Josh Hemann for the example
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.patches import Polygon
-
-
-# Generate some data from five different probability distributions,
-# each with different characteristics. We want to play with how an IID
-# bootstrap resample of the data preserves the distributional
-# properties of the original sample, and a boxplot is one visual tool
-# to make this assessment
-numDists = 5
-randomDists = ['Normal(1,1)', ' Lognormal(1,1)', 'Exp(1)', 'Gumbel(6,4)',
-               'Triangular(2,9,11)']
-N = 500
-norm = np.random.normal(1, 1, N)
-logn = np.random.lognormal(1, 1, N)
-expo = np.random.exponential(1, N)
-gumb = np.random.gumbel(6, 4, N)
-tria = np.random.triangular(2, 9, 11, N)
-
-# Generate some random indices that we'll use to resample the original data
-# arrays. For code brevity, just use the same random indices for each array
-bootstrapIndices = np.random.random_integers(0, N - 1, N)
-normBoot = norm[bootstrapIndices]
-expoBoot = expo[bootstrapIndices]
-gumbBoot = gumb[bootstrapIndices]
-lognBoot = logn[bootstrapIndices]
-triaBoot = tria[bootstrapIndices]
-
-data = [norm, normBoot, logn, lognBoot, expo, expoBoot, gumb, gumbBoot,
-        tria, triaBoot]
-
-fig, ax1 = plt.subplots(figsize=(10, 6))
-fig.canvas.set_window_title('A Boxplot Example')
-plt.subplots_adjust(left=0.075, right=0.95, top=0.9, bottom=0.25)
-
-bp = plt.boxplot(data, notch=0, sym='+', vert=1, whis=1.5)
-plt.setp(bp['boxes'], color='black')
-plt.setp(bp['whiskers'], color='black')
-plt.setp(bp['fliers'], color='red', marker='+')
-
-# Add a horizontal grid to the plot, but make it very light in color
-# so we can use it for reading data values but not be distracting
-ax1.yaxis.grid(True, linestyle='-', which='major', color='lightgrey',
-               alpha=0.5)
-
-# Hide these grid behind plot objects
-ax1.set_axisbelow(True)
-ax1.set_title('Comparison of IID Bootstrap Resampling Across Five Distributions')
-ax1.set_xlabel('Distribution')
-ax1.set_ylabel('Value')
-
-# Now fill the boxes with desired colors
-boxColors = ['darkkhaki', 'royalblue']
-numBoxes = numDists*2
-medians = range(numBoxes)
-for i in range(numBoxes):
-    box = bp['boxes'][i]
-    boxX = []
-    boxY = []
-    for j in range(5):
-        boxX.append(box.get_xdata()[j])
-        boxY.append(box.get_ydata()[j])
-    boxCoords = zip(boxX, boxY)
-    # Alternate between Dark Khaki and Royal Blue
-    k = i % 2
-    boxPolygon = Polygon(boxCoords, facecolor=boxColors[k])
-    ax1.add_patch(boxPolygon)
-    # Now draw the median lines back over what we just filled in
-    med = bp['medians'][i]
-    medianX = []
-    medianY = []
-    for j in range(2):
-        medianX.append(med.get_xdata()[j])
-        medianY.append(med.get_ydata()[j])
-        plt.plot(medianX, medianY, 'k')
-        medians[i] = medianY[0]
-    # Finally, overplot the sample averages, with horizontal alignment
-    # in the center of each box
-    plt.plot([np.average(med.get_xdata())], [np.average(data[i])],
-             color='w', marker='*', markeredgecolor='k')
-
-# Set the axes ranges and axes labels
-ax1.set_xlim(0.5, numBoxes + 0.5)
-top = 40
-bottom = -5
-ax1.set_ylim(bottom, top)
-xtickNames = plt.setp(ax1, xticklabels=np.repeat(randomDists, 2))
-plt.setp(xtickNames, rotation=45, fontsize=8)
-
-# Due to the Y-axis scale being different across samples, it can be
-# hard to compare differences in medians across the samples. Add upper
-# X-axis tick labels with the sample medians to aid in comparison
-# (just use two decimal places of precision)
-pos = np.arange(numBoxes) + 1
-upperLabels = [str(np.round(s, 2)) for s in medians]
-weights = ['bold', 'semibold']
-for tick, label in zip(range(numBoxes), ax1.get_xticklabels()):
-    k = tick % 2
-    ax1.text(pos[tick], top - (top*0.05), upperLabels[tick],
-             horizontalalignment='center', size='x-small', weight=weights[k],
-             color=boxColors[k])
-
-# Finally, add a basic legend
-plt.figtext(0.80, 0.08, str(N) + ' Random Numbers',
-            backgroundcolor=boxColors[0], color='black', weight='roman',
-            size='x-small')
-plt.figtext(0.80, 0.045, 'IID Bootstrap Resample',
-            backgroundcolor=boxColors[1],
-            color='white', weight='roman', size='x-small')
-plt.figtext(0.80, 0.015, '*', color='white', backgroundcolor='silver',
-            weight='roman', size='medium')
-plt.figtext(0.815, 0.013, ' Average Value', color='black', weight='roman',
-            size='x-small')
-
-plt.show()
diff --git a/examples/pylab_examples/boxplot_demo3.py b/examples/pylab_examples/boxplot_demo3.py
deleted file mode 100644
index ef03bde7256c..000000000000
--- a/examples/pylab_examples/boxplot_demo3.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-def fakeBootStrapper(n):
-    '''
-    This is just a placeholder for the user's method of
-    bootstrapping the median and its confidence intervals.
-
-    Returns an arbitrary median and confidence intervals
-    packed into a tuple
-    '''
-    if n == 1:
-        med = 0.1
-        CI = (-0.25, 0.25)
-    else:
-        med = 0.2
-        CI = (-0.35, 0.50)
-
-    return med, CI
-
-
-np.random.seed(2)
-inc = 0.1
-e1 = np.random.normal(0, 1, size=(500,))
-e2 = np.random.normal(0, 1, size=(500,))
-e3 = np.random.normal(0, 1 + inc, size=(500,))
-e4 = np.random.normal(0, 1 + 2*inc, size=(500,))
-
-treatments = [e1, e2, e3, e4]
-med1, CI1 = fakeBootStrapper(1)
-med2, CI2 = fakeBootStrapper(2)
-medians = [None, None, med1, med2]
-conf_intervals = [None, None, CI1, CI2]
-
-fig, ax = plt.subplots()
-pos = np.array(range(len(treatments))) + 1
-bp = ax.boxplot(treatments, sym='k+', positions=pos,
-                notch=1, bootstrap=5000,
-                usermedians=medians,
-                conf_intervals=conf_intervals)
-
-ax.set_xlabel('treatment')
-ax.set_ylabel('response')
-plt.setp(bp['whiskers'], color='k', linestyle='-')
-plt.setp(bp['fliers'], markersize=3.0)
-plt.show()
diff --git a/examples/pylab_examples/break.py b/examples/pylab_examples/break.py
deleted file mode 100644
index 6b1f6142d1da..000000000000
--- a/examples/pylab_examples/break.py
+++ /dev/null
@@ -1,8 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-
-gcf().text(0.5, 0.95,
-           'Distance Histograms by Category is a really long title')
-
-show()
diff --git a/examples/pylab_examples/broken_axis.py b/examples/pylab_examples/broken_axis.py
deleted file mode 100644
index 3cb83fd58511..000000000000
--- a/examples/pylab_examples/broken_axis.py
+++ /dev/null
@@ -1,61 +0,0 @@
-"""
-Broken axis example, where the y-axis will have a portion cut out.
-"""
-import matplotlib.pylab as plt
-import numpy as np
-
-
-# 30 points between 0 0.2] originally made using np.random.rand(30)*.2
-pts = np.array([
-    0.015, 0.166, 0.133, 0.159, 0.041, 0.024, 0.195, 0.039, 0.161, 0.018,
-    0.143, 0.056, 0.125, 0.096, 0.094, 0.051, 0.043, 0.021, 0.138, 0.075,
-    0.109, 0.195, 0.050, 0.074, 0.079, 0.155, 0.020, 0.010, 0.061, 0.008])
-
-# Now let's make two outlier points which are far away from everything.
-pts[[3, 14]] += .8
-
-# If we were to simply plot pts, we'd lose most of the interesting
-# details due to the outliers. So let's 'break' or 'cut-out' the y-axis
-# into two portions - use the top (ax) for the outliers, and the bottom
-# (ax2) for the details of the majority of our data
-f, (ax, ax2) = plt.subplots(2, 1, sharex=True)
-
-# plot the same data on both axes
-ax.plot(pts)
-ax2.plot(pts)
-
-# zoom-in / limit the view to different portions of the data
-ax.set_ylim(.78, 1.)  # outliers only
-ax2.set_ylim(0, .22)  # most of the data
-
-# hide the spines between ax and ax2
-ax.spines['bottom'].set_visible(False)
-ax2.spines['top'].set_visible(False)
-ax.xaxis.tick_top()
-ax.tick_params(labeltop='off')  # don't put tick labels at the top
-ax2.xaxis.tick_bottom()
-
-# This looks pretty good, and was fairly painless, but you can get that
-# cut-out diagonal lines look with just a bit more work. The important
-# thing to know here is that in axes coordinates, which are always
-# between 0-1, spine endpoints are at these locations (0,0), (0,1),
-# (1,0), and (1,1).  Thus, we just need to put the diagonals in the
-# appropriate corners of each of our axes, and so long as we use the
-# right transform and disable clipping.
-
-d = .015  # how big to make the diagonal lines in axes coordinates
-# arguments to pass plot, just so we don't keep repeating them
-kwargs = dict(transform=ax.transAxes, color='k', clip_on=False)
-ax.plot((-d, +d), (-d, +d), **kwargs)        # top-left diagonal
-ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)  # top-right diagonal
-
-kwargs.update(transform=ax2.transAxes)  # switch to the bottom axes
-ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs)  # bottom-left diagonal
-ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs)  # bottom-right diagonal
-
-# What's cool about this is that now if we vary the distance between
-# ax and ax2 via f.subplots_adjust(hspace=...) or plt.subplot_tool(),
-# the diagonal lines will move accordingly, and stay right at the tips
-# of the spines they are 'breaking'
-
-plt.show()
diff --git a/examples/pylab_examples/broken_barh.py b/examples/pylab_examples/broken_barh.py
deleted file mode 100644
index 0c21f234b4ff..000000000000
--- a/examples/pylab_examples/broken_barh.py
+++ /dev/null
@@ -1,22 +0,0 @@
-"""
-Make a "broken" horizontal bar plot, i.e., one with gaps
-"""
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors='blue')
-ax.broken_barh([(10, 50), (100, 20), (130, 10)], (20, 9),
-               facecolors=('red', 'yellow', 'green'))
-ax.set_ylim(5, 35)
-ax.set_xlim(0, 200)
-ax.set_xlabel('seconds since start')
-ax.set_yticks([15, 25])
-ax.set_yticklabels(['Bill', 'Jim'])
-ax.grid(True)
-ax.annotate('race interrupted', (61, 25),
-            xytext=(0.8, 0.9), textcoords='axes fraction',
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            fontsize=16,
-            horizontalalignment='right', verticalalignment='top')
-
-plt.show()
diff --git a/examples/pylab_examples/centered_ticklabels.py b/examples/pylab_examples/centered_ticklabels.py
deleted file mode 100644
index 1582192a0521..000000000000
--- a/examples/pylab_examples/centered_ticklabels.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# sometimes it is nice to have ticklabels centered.  mpl currently
-# associates a label with a tick, and the label can be aligned
-# 'center', 'left', or 'right' using the horizontal alignment property:
-#
-#
-#   for label in ax.xaxis.get_xticklabels():
-#       label.set_horizontalalignment('right')
-#
-#
-# but this doesn't help center the label between ticks.  One solution
-# is to "face it".  Use the minor ticks to place a tick centered
-# between the major ticks.  Here is an example that labels the months,
-# centered between the ticks
-
-import numpy as np
-import matplotlib.cbook as cbook
-import matplotlib.dates as dates
-import matplotlib.ticker as ticker
-import matplotlib.pyplot as plt
-
-# load some financial data; apple's stock price
-fh = cbook.get_sample_data('aapl.npy.gz')
-r = np.load(fh)
-fh.close()
-r = r[-250:]  # get the last 250 days
-
-fig, ax = plt.subplots()
-ax.plot(r.date, r.adj_close)
-
-ax.xaxis.set_major_locator(dates.MonthLocator())
-ax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=15))
-
-ax.xaxis.set_major_formatter(ticker.NullFormatter())
-ax.xaxis.set_minor_formatter(dates.DateFormatter('%b'))
-
-for tick in ax.xaxis.get_minor_ticks():
-    tick.tick1line.set_markersize(0)
-    tick.tick2line.set_markersize(0)
-    tick.label1.set_horizontalalignment('center')
-
-imid = len(r)/2
-ax.set_xlabel(str(r.date[imid].year))
-plt.show()
diff --git a/examples/pylab_examples/clippedline.py b/examples/pylab_examples/clippedline.py
deleted file mode 100644
index d33bf4b2a1e4..000000000000
--- a/examples/pylab_examples/clippedline.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-Clip a line according to the current xlimits, and change the marker
-style when zoomed in.
-
-It is not clear this example is still needed or valid; clipping
-is now automatic for Line2D objects when x is sorted in
-ascending order.
-
-"""
-
-from matplotlib.lines import Line2D
-import numpy as np
-from pylab import figure, show
-
-
-class ClippedLine(Line2D):
-    """
-    Clip the xlimits to the axes view limits -- this example assumes x is sorted
-    """
-
-    def __init__(self, ax, *args, **kwargs):
-        Line2D.__init__(self, *args, **kwargs)
-        self.ax = ax
-
-    def set_data(self, *args, **kwargs):
-        Line2D.set_data(self, *args, **kwargs)
-        self.recache()
-        self.xorig = np.array(self._x)
-        self.yorig = np.array(self._y)
-
-    def draw(self, renderer):
-        xlim = self.ax.get_xlim()
-
-        ind0, ind1 = np.searchsorted(self.xorig, xlim)
-        self._x = self.xorig[ind0:ind1]
-        self._y = self.yorig[ind0:ind1]
-        N = len(self._x)
-        if N < 1000:
-            self._marker = 's'
-            self._linestyle = '-'
-        else:
-            self._marker = None
-            self._linestyle = '-'
-
-        Line2D.draw(self, renderer)
-
-
-fig = figure()
-ax = fig.add_subplot(111, autoscale_on=False)
-
-t = np.arange(0.0, 100.0, 0.01)
-s = np.sin(2*np.pi*t)
-line = ClippedLine(ax, t, s, color='g', ls='-', lw=2)
-ax.add_line(line)
-ax.set_xlim(10, 30)
-ax.set_ylim(-1.1, 1.1)
-show()
diff --git a/examples/pylab_examples/cohere_demo.py b/examples/pylab_examples/cohere_demo.py
deleted file mode 100644
index 564daab75ddd..000000000000
--- a/examples/pylab_examples/cohere_demo.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-"""
-Compute the coherence of two signals
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-# make a little extra space between the subplots
-plt.subplots_adjust(wspace=0.5)
-
-dt = 0.01
-t = np.arange(0, 30, dt)
-nse1 = np.random.randn(len(t))                 # white noise 1
-nse2 = np.random.randn(len(t))                 # white noise 2
-r = np.exp(-t/0.05)
-
-cnse1 = np.convolve(nse1, r, mode='same')*dt   # colored noise 1
-cnse2 = np.convolve(nse2, r, mode='same')*dt   # colored noise 2
-
-# two signals with a coherent part and a random part
-s1 = 0.01*np.sin(2*np.pi*10*t) + cnse1
-s2 = 0.01*np.sin(2*np.pi*10*t) + cnse2
-
-plt.subplot(211)
-plt.plot(t, s1, 'b-', t, s2, 'g-')
-plt.xlim(0, 5)
-plt.xlabel('time')
-plt.ylabel('s1 and s2')
-plt.grid(True)
-
-plt.subplot(212)
-cxy, f = plt.cohere(s1, s2, 256, 1./dt)
-plt.ylabel('coherence')
-plt.show()
diff --git a/examples/pylab_examples/color_by_yvalue.py b/examples/pylab_examples/color_by_yvalue.py
deleted file mode 100644
index f622a50e21b8..000000000000
--- a/examples/pylab_examples/color_by_yvalue.py
+++ /dev/null
@@ -1,18 +0,0 @@
-# use masked arrays to plot a line with different colors by y-value
-from numpy import logical_or, arange, sin, pi
-from numpy import ma
-from matplotlib.pyplot import plot, show
-
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-
-upper = 0.77
-lower = -0.77
-
-
-supper = ma.masked_where(s < upper, s)
-slower = ma.masked_where(s > lower, s)
-smiddle = ma.masked_where(logical_or(s < lower, s > upper), s)
-
-plot(t, slower, 'r', t, smiddle, 'b', t, supper, 'g')
-show()
diff --git a/examples/pylab_examples/color_demo.py b/examples/pylab_examples/color_demo.py
deleted file mode 100644
index 6b63580f5f7f..000000000000
--- a/examples/pylab_examples/color_demo.py
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/usr/bin/env python
-"""
-matplotlib gives you 4 ways to specify colors,
-
-    1) as a single letter string, ala MATLAB
-
-    2) as an html style hex string or html color name
-
-    3) as an R,G,B tuple, where R,G,B, range from 0-1
-
-    4) as a string representing a floating point number
-       from 0 to 1, corresponding to shades of gray.
-
-See help(colors) for more info.
-"""
-from pylab import *
-
-subplot(111, axisbg='darkslategray')
-#subplot(111, axisbg='#ababab')
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-plot(t, s, 'y')
-xlabel('time (s)', color='r')
-ylabel('voltage (mV)', color='0.5')  # grayscale color
-title('About as silly as it gets, folks', color='#afeeee')
-show()
diff --git a/examples/pylab_examples/colorbar_tick_labelling_demo.py b/examples/pylab_examples/colorbar_tick_labelling_demo.py
deleted file mode 100644
index ff4d9c906655..000000000000
--- a/examples/pylab_examples/colorbar_tick_labelling_demo.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""Produce custom labelling for a colorbar.
-
-Contributed by Scott Sinclair
-"""
-
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib import cm
-from numpy.random import randn
-
-# Make plot with vertical (default) colorbar
-fig, ax = plt.subplots()
-
-data = np.clip(randn(250, 250), -1, 1)
-
-cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
-ax.set_title('Gaussian noise with vertical colorbar')
-
-# Add colorbar, make sure to specify tick locations to match desired ticklabels
-cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
-cbar.ax.set_yticklabels(['< -1', '0', '> 1'])  # vertically oriented colorbar
-
-# Make plot with horizontal colorbar
-fig, ax = plt.subplots()
-
-data = np.clip(randn(250, 250), -1, 1)
-
-cax = ax.imshow(data, interpolation='nearest', cmap=cm.afmhot)
-ax.set_title('Gaussian noise with horizontal colorbar')
-
-cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
-cbar.ax.set_xticklabels(['Low', 'Medium', 'High'])  # horizontal colorbar
-
-plt.show()
diff --git a/examples/pylab_examples/colours.py b/examples/pylab_examples/colours.py
deleted file mode 100644
index 4694fa4f09d9..000000000000
--- a/examples/pylab_examples/colours.py
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-"""
-Some simple functions to generate colours.
-"""
-import numpy as np
-from matplotlib.colors import colorConverter
-
-
-def pastel(colour, weight=2.4):
-    """ Convert colour into a nice pastel shade"""
-    rgb = np.asarray(colorConverter.to_rgb(colour))
-    # scale colour
-    maxc = max(rgb)
-    if maxc < 1.0 and maxc > 0:
-        # scale colour
-        scale = 1.0 / maxc
-        rgb = rgb * scale
-    # now decrease saturation
-    total = rgb.sum()
-    slack = 0
-    for x in rgb:
-        slack += 1.0 - x
-
-    # want to increase weight from total to weight
-    # pick x s.t.  slack * x == weight - total
-    # x = (weight - total) / slack
-    x = (weight - total) / slack
-
-    rgb = [c + (x * (1.0 - c)) for c in rgb]
-
-    return rgb
-
-
-def get_colours(n):
-    """ Return n pastel colours. """
-    base = np.asarray([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
-
-    if n <= 3:
-        return base[0:n]
-
-    # how many new colours to we need to insert between
-    # red and green and between green and blue?
-    needed = (((n - 3) + 1) / 2, (n - 3) / 2)
-
-    colours = []
-    for start in (0, 1):
-        for x in np.linspace(0, 1, needed[start] + 2):
-            colours.append((base[start] * (1.0 - x)) +
-                           (base[start + 1] * x))
-
-    return [pastel(c) for c in colours[0:n]]
diff --git a/examples/pylab_examples/contour_demo.py b/examples/pylab_examples/contour_demo.py
deleted file mode 100755
index 5e313bfa24be..000000000000
--- a/examples/pylab_examples/contour_demo.py
+++ /dev/null
@@ -1,113 +0,0 @@
-#!/usr/bin/env python
-"""
-Illustrate simple contour plotting, contours on an image with
-a colorbar for the contours, and labelled contours.
-
-See also contour_image.py.
-"""
-import matplotlib
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-
-matplotlib.rcParams['xtick.direction'] = 'out'
-matplotlib.rcParams['ytick.direction'] = 'out'
-
-delta = 0.025
-x = np.arange(-3.0, 3.0, delta)
-y = np.arange(-2.0, 2.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-# difference of Gaussians
-Z = 10.0 * (Z2 - Z1)
-
-
-# Create a simple contour plot with labels using default colors.  The
-# inline argument to clabel will control whether the labels are draw
-# over the line segments of the contour, removing the lines beneath
-# the label
-plt.figure()
-CS = plt.contour(X, Y, Z)
-plt.clabel(CS, inline=1, fontsize=10)
-plt.title('Simplest default with labels')
-
-
-# contour labels can be placed manually by providing list of positions
-# (in data coordinate). See ginput_manual_clabel.py for interactive
-# placement.
-plt.figure()
-CS = plt.contour(X, Y, Z)
-manual_locations = [(-1, -1.4), (-0.62, -0.7), (-2, 0.5), (1.7, 1.2), (2.0, 1.4), (2.4, 1.7)]
-plt.clabel(CS, inline=1, fontsize=10, manual=manual_locations)
-plt.title('labels at selected locations')
-
-
-# You can force all the contours to be the same color.
-plt.figure()
-CS = plt.contour(X, Y, Z, 6,
-                 colors='k',  # negative contours will be dashed by default
-                 )
-plt.clabel(CS, fontsize=9, inline=1)
-plt.title('Single color - negative contours dashed')
-
-# You can set negative contours to be solid instead of dashed:
-matplotlib.rcParams['contour.negative_linestyle'] = 'solid'
-plt.figure()
-CS = plt.contour(X, Y, Z, 6,
-                 colors='k',  # negative contours will be dashed by default
-                 )
-plt.clabel(CS, fontsize=9, inline=1)
-plt.title('Single color - negative contours solid')
-
-
-# And you can manually specify the colors of the contour
-plt.figure()
-CS = plt.contour(X, Y, Z, 6,
-                 linewidths=np.arange(.5, 4, .5),
-                 colors=('r', 'green', 'blue', (1, 1, 0), '#afeeee', '0.5')
-                 )
-plt.clabel(CS, fontsize=9, inline=1)
-plt.title('Crazy lines')
-
-
-# Or you can use a colormap to specify the colors; the default
-# colormap will be used for the contour lines
-plt.figure()
-im = plt.imshow(Z, interpolation='bilinear', origin='lower',
-                cmap=cm.gray, extent=(-3, 3, -2, 2))
-levels = np.arange(-1.2, 1.6, 0.2)
-CS = plt.contour(Z, levels,
-                 origin='lower',
-                 linewidths=2,
-                 extent=(-3, 3, -2, 2))
-
-# Thicken the zero contour.
-zc = CS.collections[6]
-plt.setp(zc, linewidth=4)
-
-plt.clabel(CS, levels[1::2],  # label every second level
-           inline=1,
-           fmt='%1.1f',
-           fontsize=14)
-
-# make a colorbar for the contour lines
-CB = plt.colorbar(CS, shrink=0.8, extend='both')
-
-plt.title('Lines with colorbar')
-#plt.hot()  # Now change the colormap for the contour lines and colorbar
-plt.flag()
-
-# We can still add a colorbar for the image, too.
-CBI = plt.colorbar(im, orientation='horizontal', shrink=0.8)
-
-# This makes the original colorbar look a bit out of place,
-# so let's improve its position.
-
-l, b, w, h = plt.gca().get_position().bounds
-ll, bb, ww, hh = CB.ax.get_position().bounds
-CB.ax.set_position([ll, b + 0.1*h, ww, h*0.8])
-
-
-plt.show()
diff --git a/examples/pylab_examples/contour_image.py b/examples/pylab_examples/contour_image.py
deleted file mode 100755
index 921d5a8ec226..000000000000
--- a/examples/pylab_examples/contour_image.py
+++ /dev/null
@@ -1,105 +0,0 @@
-#!/usr/bin/env python
-'''
-Test combinations of contouring, filled contouring, and image plotting.
-For contour labelling, see contour_demo.py.
-
-The emphasis in this demo is on showing how to make contours register
-correctly on images, and on how to get both of them oriented as
-desired.  In particular, note the usage of the "origin" and "extent"
-keyword arguments to imshow and contour.
-'''
-from pylab import *
-
-# Default delta is large because that makes it fast, and it illustrates
-# the correct registration between image and contours.
-delta = 0.5
-
-extent = (-3, 4, -4, 3)
-
-x = arange(-3.0, 4.001, delta)
-y = arange(-4.0, 3.001, delta)
-X, Y = meshgrid(x, y)
-Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = (Z1 - Z2) * 10
-
-levels = arange(-2.0, 1.601, 0.4)  # Boost the upper limit to avoid truncation errors.
-
-norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())
-cmap = cm.PRGn
-
-figure()
-
-
-subplot(2, 2, 1)
-
-cset1 = contourf(X, Y, Z, levels,
-                 cmap=cm.get_cmap(cmap, len(levels) - 1),
-                 norm=norm,
-                 )
-# It is not necessary, but for the colormap, we need only the
-# number of levels minus 1.  To avoid discretization error, use
-# either this number or a large number such as the default (256).
-
-# If we want lines as well as filled regions, we need to call
-# contour separately; don't try to change the edgecolor or edgewidth
-# of the polygons in the collections returned by contourf.
-# Use levels output from previous call to guarantee they are the same.
-cset2 = contour(X, Y, Z, cset1.levels,
-                colors='k',
-                hold='on')
-# We don't really need dashed contour lines to indicate negative
-# regions, so let's turn them off.
-for c in cset2.collections:
-    c.set_linestyle('solid')
-
-# It is easier here to make a separate call to contour than
-# to set up an array of colors and linewidths.
-# We are making a thick green line as a zero contour.
-# Specify the zero level as a tuple with only 0 in it.
-cset3 = contour(X, Y, Z, (0,),
-                colors='g',
-                linewidths=2,
-                hold='on')
-title('Filled contours')
-colorbar(cset1)
-#hot()
-
-
-subplot(2, 2, 2)
-
-imshow(Z, extent=extent, cmap=cmap, norm=norm)
-v = axis()
-contour(Z, levels, hold='on', colors='k',
-        origin='upper', extent=extent)
-axis(v)
-title("Image, origin 'upper'")
-
-subplot(2, 2, 3)
-
-imshow(Z, origin='lower', extent=extent, cmap=cmap, norm=norm)
-v = axis()
-contour(Z, levels, hold='on', colors='k',
-        origin='lower', extent=extent)
-axis(v)
-title("Image, origin 'lower'")
-
-subplot(2, 2, 4)
-
-# We will use the interpolation "nearest" here to show the actual
-# image pixels.
-# Note that the contour lines don't extend to the edge of the box.
-# This is intentional. The Z values are defined at the center of each
-# image pixel (each color block on the following subplot), so the
-# domain that is contoured does not extend beyond these pixel centers.
-im = imshow(Z, interpolation='nearest', extent=extent, cmap=cmap, norm=norm)
-v = axis()
-contour(Z, levels, hold='on', colors='k',
-        origin='image', extent=extent)
-axis(v)
-ylim = get(gca(), 'ylim')
-setp(gca(), ylim=ylim[::-1])
-title("Image, origin from rc, reversed y-axis")
-colorbar(im)
-
-show()
diff --git a/examples/pylab_examples/contour_label_demo.py b/examples/pylab_examples/contour_label_demo.py
deleted file mode 100644
index 42eb8f579406..000000000000
--- a/examples/pylab_examples/contour_label_demo.py
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/bin/env python
-"""
-Illustrate some of the more advanced things that one can do with
-contour labels.
-
-See also contour_demo.py.
-"""
-import matplotlib
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.ticker as ticker
-import matplotlib.pyplot as plt
-
-matplotlib.rcParams['xtick.direction'] = 'out'
-matplotlib.rcParams['ytick.direction'] = 'out'
-
-##################################################
-# Define our surface
-##################################################
-delta = 0.025
-x = np.arange(-3.0, 3.0, delta)
-y = np.arange(-2.0, 2.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-# difference of Gaussians
-Z = 10.0 * (Z2 - Z1)
-
-##################################################
-# Make contour labels using creative float classes
-# Follows suggestion of Manuel Metz
-##################################################
-plt.figure()
-
-# Basic contour plot
-CS = plt.contour(X, Y, Z)
-
-
-# Define a class that forces representation of float to look a certain way
-# This remove trailing zero so '1.0' becomes '1'
-class nf(float):
-    def __repr__(self):
-        str = '%.1f' % (self.__float__(),)
-        if str[-1] == '0':
-            return '%.0f' % self.__float__()
-        else:
-            return '%.1f' % self.__float__()
-
-# Recast levels to new class
-CS.levels = [nf(val) for val in CS.levels]
-
-# Label levels with specially formatted floats
-if plt.rcParams["text.usetex"]:
-    fmt = r'%r \%%'
-else:
-    fmt = '%r %%'
-plt.clabel(CS, CS.levels, inline=True, fmt=fmt, fontsize=10)
-
-##################################################
-# Label contours with arbitrary strings using a
-# dictionary
-##################################################
-plt.figure()
-
-# Basic contour plot
-CS = plt.contour(X, Y, Z)
-
-fmt = {}
-strs = ['first', 'second', 'third', 'fourth', 'fifth', 'sixth', 'seventh']
-for l, s in zip(CS.levels, strs):
-    fmt[l] = s
-
-# Label every other level using strings
-plt.clabel(CS, CS.levels[::2], inline=True, fmt=fmt, fontsize=10)
-
-# Use a Formatter
-
-plt.figure()
-
-CS = plt.contour(X, Y, 100**Z, locator=plt.LogLocator())
-fmt = ticker.LogFormatterMathtext()
-fmt.create_dummy_axis()
-plt.clabel(CS, CS.levels, fmt=fmt)
-plt.title("$100^Z$")
-
-plt.show()
diff --git a/examples/pylab_examples/contourf_demo.py b/examples/pylab_examples/contourf_demo.py
deleted file mode 100755
index 64d718d89b9b..000000000000
--- a/examples/pylab_examples/contourf_demo.py
+++ /dev/null
@@ -1,107 +0,0 @@
-#!/usr/bin/env python
-import numpy as np
-import matplotlib.pyplot as plt
-
-origin = 'lower'
-#origin = 'upper'
-
-delta = 0.025
-
-x = y = np.arange(-3.0, 3.01, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = plt.mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = plt.mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = 10 * (Z1 - Z2)
-
-nr, nc = Z.shape
-
-# put NaNs in one corner:
-Z[-nr//6:, -nc//6:] = np.nan
-# contourf will convert these to masked
-
-
-Z = np.ma.array(Z)
-# mask another corner:
-Z[:nr//6, :nc//6] = np.ma.masked
-
-# mask a circle in the middle:
-interior = np.sqrt((X**2) + (Y**2)) < 0.5
-Z[interior] = np.ma.masked
-
-
-# We are using automatic selection of contour levels;
-# this is usually not such a good idea, because they don't
-# occur on nice boundaries, but we do it here for purposes
-# of illustration.
-CS = plt.contourf(X, Y, Z, 10,
-                  #[-1, -0.1, 0, 0.1],
-                  #alpha=0.5,
-                  cmap=plt.cm.bone,
-                  origin=origin)
-
-# Note that in the following, we explicitly pass in a subset of
-# the contour levels used for the filled contours.  Alternatively,
-# We could pass in additional levels to provide extra resolution,
-# or leave out the levels kwarg to use all of the original levels.
-
-CS2 = plt.contour(CS, levels=CS.levels[::2],
-                  colors='r',
-                  origin=origin,
-                  hold='on')
-
-plt.title('Nonsense (3 masked regions)')
-plt.xlabel('word length anomaly')
-plt.ylabel('sentence length anomaly')
-
-# Make a colorbar for the ContourSet returned by the contourf call.
-cbar = plt.colorbar(CS)
-cbar.ax.set_ylabel('verbosity coefficient')
-# Add the contour line levels to the colorbar
-cbar.add_lines(CS2)
-
-plt.figure()
-
-# Now make a contour plot with the levels specified,
-# and with the colormap generated automatically from a list
-# of colors.
-levels = [-1.5, -1, -0.5, 0, 0.5, 1]
-CS3 = plt.contourf(X, Y, Z, levels,
-                   colors=('r', 'g', 'b'),
-                   origin=origin,
-                   extend='both')
-# Our data range extends outside the range of levels; make
-# data below the lowest contour level yellow, and above the
-# highest level cyan:
-CS3.cmap.set_under('yellow')
-CS3.cmap.set_over('cyan')
-
-CS4 = plt.contour(X, Y, Z, levels,
-                  colors=('k',),
-                  linewidths = (3,),
-                  origin = origin)
-plt.title('Listed colors (3 masked regions)')
-plt.clabel(CS4, fmt='%2.1f', colors='w', fontsize=14)
-
-# Notice that the colorbar command gets all the information it
-# needs from the ContourSet object, CS3.
-plt.colorbar(CS3)
-
-# Illustrate all 4 possible "extend" settings:
-extends = ["neither", "both", "min", "max"]
-cmap = plt.cm.get_cmap("winter")
-cmap.set_under("magenta")
-cmap.set_over("yellow")
-# Note: contouring simply excludes masked or nan regions, so
-# instead of using the "bad" colormap value for them, it draws
-# nothing at all in them.  Therefore the following would have
-# no effect:
-#cmap.set_bad("red")
-
-fig, axs = plt.subplots(2, 2)
-for ax, extend in zip(axs.ravel(), extends):
-    cs = ax.contourf(X, Y, Z, levels, cmap=cmap, extend=extend, origin=origin)
-    fig.colorbar(cs, ax=ax, shrink=0.9)
-    ax.set_title("extend = %s" % extend)
-    ax.locator_params(nbins=4)
-
-plt.show()
diff --git a/examples/pylab_examples/contourf_hatching.py b/examples/pylab_examples/contourf_hatching.py
deleted file mode 100755
index b1395ec5f3b1..000000000000
--- a/examples/pylab_examples/contourf_hatching.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-# invent some numbers, turning the x and y arrays into simple
-# 2d arrays, which make combining them together easier.
-x = np.linspace(-3, 5, 150).reshape(1, -1)
-y = np.linspace(-3, 5, 120).reshape(-1, 1)
-z = np.cos(x) + np.sin(y)
-
-# we no longer need x and y to be 2 dimensional, so flatten them.
-x, y = x.flatten(), y.flatten()
-
-
-# ---------------------------------------------
-# |                 Plot #1                   |
-# ---------------------------------------------
-# the simplest hatched plot with a colorbar
-fig = plt.figure()
-cs = plt.contourf(x, y, z, hatches=['-', '/', '\\', '//'],
-                  cmap=plt.get_cmap('gray'),
-                  extend='both', alpha=0.5
-                  )
-plt.colorbar()
-
-
-# ---------------------------------------------
-# |                 Plot #2                   |
-# ---------------------------------------------
-# a plot of hatches without color with a legend
-plt.figure()
-n_levels = 6
-plt.contour(x, y, z, n_levels, colors='black', linestyles='-')
-cs = plt.contourf(x, y, z, n_levels, colors='none',
-                  hatches=['.', '/', '\\', None, '\\\\', '*'],
-                  extend='lower'
-                  )
-
-# create a legend for the contour set
-artists, labels = cs.legend_elements()
-plt.legend(artists, labels, handleheight=2)
-
-
-plt.show()
diff --git a/examples/pylab_examples/contourf_log.py b/examples/pylab_examples/contourf_log.py
deleted file mode 100644
index ceea635c3e95..000000000000
--- a/examples/pylab_examples/contourf_log.py
+++ /dev/null
@@ -1,46 +0,0 @@
-'''
-Demonstrate use of a log color scale in contourf
-'''
-
-from matplotlib import pyplot as P
-import numpy as np
-from numpy import ma
-from matplotlib import colors, ticker, cm
-from matplotlib.mlab import bivariate_normal
-
-N = 100
-x = np.linspace(-3.0, 3.0, N)
-y = np.linspace(-2.0, 2.0, N)
-
-X, Y = np.meshgrid(x, y)
-
-# A low hump with a spike coming out of the top right.
-# Needs to have z/colour axis on a log scale so we see both hump and spike.
-# linear scale only shows the spike.
-z = (bivariate_normal(X, Y, 0.1, 0.2, 1.0, 1.0)
-     + 0.1 * bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0))
-
-# Put in some negative values (lower left corner) to cause trouble with logs:
-z[:5, :5] = -1
-
-# The following is not strictly essential, but it will eliminate
-# a warning.  Comment it out to see the warning.
-z = ma.masked_where(z <= 0, z)
-
-
-# Automatic selection of levels works; setting the
-# log locator tells contourf to use a log scale:
-cs = P.contourf(X, Y, z, locator=ticker.LogLocator(), cmap=cm.PuBu_r)
-
-# Alternatively, you can manually set the levels
-# and the norm:
-#lev_exp = np.arange(np.floor(np.log10(z.min())-1),
-#                    np.ceil(np.log10(z.max())+1))
-#levs = np.power(10, lev_exp)
-#cs = P.contourf(X, Y, z, levs, norm=colors.LogNorm())
-
-# The 'extend' kwarg does not work yet with a log scale.
-
-cbar = P.colorbar()
-
-P.show()
diff --git a/examples/pylab_examples/coords_demo.py b/examples/pylab_examples/coords_demo.py
deleted file mode 100755
index 800674417174..000000000000
--- a/examples/pylab_examples/coords_demo.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env python
-
-"""
-An example of how to interact with the plotting canvas by connecting
-to move and click events
-"""
-from __future__ import print_function
-import sys
-from pylab import *
-
-t = arange(0.0, 1.0, 0.01)
-s = sin(2*pi*t)
-fig, ax = plt.subplots()
-ax.plot(t, s)
-
-
-def on_move(event):
-    # get the x and y pixel coords
-    x, y = event.x, event.y
-
-    if event.inaxes:
-        ax = event.inaxes  # the axes instance
-        print('data coords %f %f' % (event.xdata, event.ydata))
-
-
-def on_click(event):
-    # get the x and y coords, flip y from top to bottom
-    x, y = event.x, event.y
-    if event.button == 1:
-        if event.inaxes is not None:
-            print('data coords %f %f' % (event.xdata, event.ydata))
-
-binding_id = connect('motion_notify_event', on_move)
-connect('button_press_event', on_click)
-
-if "test_disconnect" in sys.argv:
-    print("disconnecting console coordinate printout...")
-    disconnect(binding_id)
-
-show()
diff --git a/examples/pylab_examples/coords_report.py b/examples/pylab_examples/coords_report.py
deleted file mode 100644
index 50e63db24f54..000000000000
--- a/examples/pylab_examples/coords_report.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/usr/bin/env python
-
-# override the default reporting of coords
-
-from pylab import *
-
-
-def millions(x):
-    return '$%1.1fM' % (x*1e-6)
-
-x = rand(20)
-y = 1e7*rand(20)
-
-fig, ax = subplots()
-ax.fmt_ydata = millions
-plot(x, y, 'o')
-
-show()
diff --git a/examples/pylab_examples/csd_demo.py b/examples/pylab_examples/csd_demo.py
deleted file mode 100644
index 7eaeb850ecad..000000000000
--- a/examples/pylab_examples/csd_demo.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-"""
-Compute the cross spectral density of two signals
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-# make a little extra space between the subplots
-plt.subplots_adjust(wspace=0.5)
-
-dt = 0.01
-t = np.arange(0, 30, dt)
-nse1 = np.random.randn(len(t))                 # white noise 1
-nse2 = np.random.randn(len(t))                 # white noise 2
-r = np.exp(-t/0.05)
-
-cnse1 = np.convolve(nse1, r, mode='same')*dt   # colored noise 1
-cnse2 = np.convolve(nse2, r, mode='same')*dt   # colored noise 2
-
-# two signals with a coherent part and a random part
-s1 = 0.01*np.sin(2*np.pi*10*t) + cnse1
-s2 = 0.01*np.sin(2*np.pi*10*t) + cnse2
-
-plt.subplot(211)
-plt.plot(t, s1, 'b-', t, s2, 'g-')
-plt.xlim(0, 5)
-plt.xlabel('time')
-plt.ylabel('s1 and s2')
-plt.grid(True)
-
-plt.subplot(212)
-cxy, f = plt.csd(s1, s2, 256, 1./dt)
-plt.ylabel('CSD (db)')
-plt.show()
diff --git a/examples/pylab_examples/cursor_demo.py b/examples/pylab_examples/cursor_demo.py
deleted file mode 100755
index aaef587e3820..000000000000
--- a/examples/pylab_examples/cursor_demo.py
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-"""
-
-This example shows how to use matplotlib to provide a data cursor.  It
-uses matplotlib to draw the cursor and may be a slow since this
-requires redrawing the figure with every mouse move.
-
-Faster cursoring is possible using native GUI drawing, as in
-wxcursor_demo.py
-"""
-from __future__ import print_function
-from pylab import *
-
-
-class Cursor(object):
-    def __init__(self, ax):
-        self.ax = ax
-        self.lx = ax.axhline(color='k')  # the horiz line
-        self.ly = ax.axvline(color='k')  # the vert line
-
-        # text location in axes coords
-        self.txt = ax.text(0.7, 0.9, '', transform=ax.transAxes)
-
-    def mouse_move(self, event):
-        if not event.inaxes:
-            return
-
-        x, y = event.xdata, event.ydata
-        # update the line positions
-        self.lx.set_ydata(y)
-        self.ly.set_xdata(x)
-
-        self.txt.set_text('x=%1.2f, y=%1.2f' % (x, y))
-        draw()
-
-
-class SnaptoCursor(object):
-    """
-    Like Cursor but the crosshair snaps to the nearest x,y point
-    For simplicity, I'm assuming x is sorted
-    """
-
-    def __init__(self, ax, x, y):
-        self.ax = ax
-        self.lx = ax.axhline(color='k')  # the horiz line
-        self.ly = ax.axvline(color='k')  # the vert line
-        self.x = x
-        self.y = y
-        # text location in axes coords
-        self.txt = ax.text(0.7, 0.9, '', transform=ax.transAxes)
-
-    def mouse_move(self, event):
-
-        if not event.inaxes:
-            return
-
-        x, y = event.xdata, event.ydata
-
-        indx = searchsorted(self.x, [x])[0]
-        x = self.x[indx]
-        y = self.y[indx]
-        # update the line positions
-        self.lx.set_ydata(y)
-        self.ly.set_xdata(x)
-
-        self.txt.set_text('x=%1.2f, y=%1.2f' % (x, y))
-        print('x=%1.2f, y=%1.2f' % (x, y))
-        draw()
-
-t = arange(0.0, 1.0, 0.01)
-s = sin(2*2*pi*t)
-fig, ax = subplots()
-
-cursor = Cursor(ax)
-#cursor = SnaptoCursor(ax, t, s)
-connect('motion_notify_event', cursor.mouse_move)
-
-ax.plot(t, s, 'o')
-axis([0, 1, -1, 1])
-show()
diff --git a/examples/pylab_examples/custom_cmap.py b/examples/pylab_examples/custom_cmap.py
deleted file mode 100644
index 180996cd1c56..000000000000
--- a/examples/pylab_examples/custom_cmap.py
+++ /dev/null
@@ -1,191 +0,0 @@
-#!/usr/bin/env python
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.colors import LinearSegmentedColormap
-
-"""
-
-Example: suppose you want red to increase from 0 to 1 over the bottom
-half, green to do the same over the middle half, and blue over the top
-half.  Then you would use:
-
-cdict = {'red':   ((0.0,  0.0, 0.0),
-                   (0.5,  1.0, 1.0),
-                   (1.0,  1.0, 1.0)),
-
-         'green': ((0.0,  0.0, 0.0),
-                   (0.25, 0.0, 0.0),
-                   (0.75, 1.0, 1.0),
-                   (1.0,  1.0, 1.0)),
-
-         'blue':  ((0.0,  0.0, 0.0),
-                   (0.5,  0.0, 0.0),
-                   (1.0,  1.0, 1.0))}
-
-If, as in this example, there are no discontinuities in the r, g, and b
-components, then it is quite simple: the second and third element of
-each tuple, above, is the same--call it "y".  The first element ("x")
-defines interpolation intervals over the full range of 0 to 1, and it
-must span that whole range.  In other words, the values of x divide the
-0-to-1 range into a set of segments, and y gives the end-point color
-values for each segment.
-
-Now consider the green. cdict['green'] is saying that for
-0 <= x <= 0.25, y is zero; no green.
-0.25 < x <= 0.75, y varies linearly from 0 to 1.
-x > 0.75, y remains at 1, full green.
-
-If there are discontinuities, then it is a little more complicated.
-Label the 3 elements in each row in the cdict entry for a given color as
-(x, y0, y1).  Then for values of x between x[i] and x[i+1] the color
-value is interpolated between y1[i] and y0[i+1].
-
-Going back to the cookbook example, look at cdict['red']; because y0 !=
-y1, it is saying that for x from 0 to 0.5, red increases from 0 to 1,
-but then it jumps down, so that for x from 0.5 to 1, red increases from
-0.7 to 1.  Green ramps from 0 to 1 as x goes from 0 to 0.5, then jumps
-back to 0, and ramps back to 1 as x goes from 0.5 to 1.
-
-row i:   x  y0  y1
-                /
-               /
-row i+1: x  y0  y1
-
-Above is an attempt to show that for x in the range x[i] to x[i+1], the
-interpolation is between y1[i] and y0[i+1].  So, y0[0] and y1[-1] are
-never used.
-
-"""
-
-
-cdict1 = {'red':   ((0.0, 0.0, 0.0),
-                   (0.5, 0.0, 0.1),
-                   (1.0, 1.0, 1.0)),
-
-         'green': ((0.0, 0.0, 0.0),
-                   (1.0, 0.0, 0.0)),
-
-         'blue':  ((0.0, 0.0, 1.0),
-                   (0.5, 0.1, 0.0),
-                   (1.0, 0.0, 0.0))
-        }
-
-cdict2 = {'red':   ((0.0, 0.0, 0.0),
-                   (0.5, 0.0, 1.0),
-                   (1.0, 0.1, 1.0)),
-
-         'green': ((0.0, 0.0, 0.0),
-                   (1.0, 0.0, 0.0)),
-
-         'blue':  ((0.0, 0.0, 0.1),
-                   (0.5, 1.0, 0.0),
-                   (1.0, 0.0, 0.0))
-        }
-
-cdict3 = {'red':  ((0.0, 0.0, 0.0),
-                   (0.25, 0.0, 0.0),
-                   (0.5, 0.8, 1.0),
-                   (0.75, 1.0, 1.0),
-                   (1.0, 0.4, 1.0)),
-
-         'green': ((0.0, 0.0, 0.0),
-                   (0.25, 0.0, 0.0),
-                   (0.5, 0.9, 0.9),
-                   (0.75, 0.0, 0.0),
-                   (1.0, 0.0, 0.0)),
-
-         'blue':  ((0.0, 0.0, 0.4),
-                   (0.25, 1.0, 1.0),
-                   (0.5, 1.0, 0.8),
-                   (0.75, 0.0, 0.0),
-                   (1.0, 0.0, 0.0))
-        }
-
-# Make a modified version of cdict3 with some transparency
-# in the middle of the range.
-cdict4 = cdict3.copy()
-cdict4['alpha'] = ((0.0, 1.0, 1.0),
-                #   (0.25,1.0, 1.0),
-                   (0.5, 0.3, 0.3),
-                #   (0.75,1.0, 1.0),
-                   (1.0, 1.0, 1.0))
-
-
-# Now we will use this example to illustrate 3 ways of
-# handling custom colormaps.
-# First, the most direct and explicit:
-
-blue_red1 = LinearSegmentedColormap('BlueRed1', cdict1)
-
-# Second, create the map explicitly and register it.
-# Like the first method, this method works with any kind
-# of Colormap, not just
-# a LinearSegmentedColormap:
-
-blue_red2 = LinearSegmentedColormap('BlueRed2', cdict2)
-plt.register_cmap(cmap=blue_red2)
-
-# Third, for LinearSegmentedColormap only,
-# leave everything to register_cmap:
-
-plt.register_cmap(name='BlueRed3', data=cdict3)  # optional lut kwarg
-plt.register_cmap(name='BlueRedAlpha', data=cdict4)
-
-# Make some illustrative fake data:
-
-x = np.arange(0, np.pi, 0.1)
-y = np.arange(0, 2*np.pi, 0.1)
-X, Y = np.meshgrid(x, y)
-Z = np.cos(X) * np.sin(Y) * 10
-
-# Make the figure:
-
-plt.figure(figsize=(6, 9))
-plt.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)
-
-# Make 4 subplots:
-
-plt.subplot(2, 2, 1)
-plt.imshow(Z, interpolation='nearest', cmap=blue_red1)
-plt.colorbar()
-
-plt.subplot(2, 2, 2)
-cmap = plt.get_cmap('BlueRed2')
-plt.imshow(Z, interpolation='nearest', cmap=cmap)
-plt.colorbar()
-
-# Now we will set the third cmap as the default.  One would
-# not normally do this in the middle of a script like this;
-# it is done here just to illustrate the method.
-
-plt.rcParams['image.cmap'] = 'BlueRed3'
-
-plt.subplot(2, 2, 3)
-plt.imshow(Z, interpolation='nearest')
-plt.colorbar()
-plt.title("Alpha = 1")
-
-# Or as yet another variation, we can replace the rcParams
-# specification *before* the imshow with the following *after*
-# imshow.
-# This sets the new default *and* sets the colormap of the last
-# image-like item plotted via pyplot, if any.
-#
-
-plt.subplot(2, 2, 4)
-# Draw a line with low zorder so it will be behind the image.
-plt.plot([0, 10*np.pi], [0, 20*np.pi], color='c', lw=20, zorder=-1)
-
-plt.imshow(Z, interpolation='nearest')
-plt.colorbar()
-
-# Here it is: changing the colormap for the current image and its
-# colorbar after they have been plotted.
-plt.set_cmap('BlueRedAlpha')
-plt.title("Varying alpha")
-#
-
-plt.suptitle('Custom Blue-Red colormaps', fontsize=16)
-
-plt.show()
diff --git a/examples/pylab_examples/custom_figure_class.py b/examples/pylab_examples/custom_figure_class.py
deleted file mode 100644
index 56c4de49923d..000000000000
--- a/examples/pylab_examples/custom_figure_class.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-You can pass a custom Figure constructor to figure if you want to derive from the default Figure.  This simple example creates a figure with a figure title
-"""
-from matplotlib.pyplot import figure, show
-from matplotlib.figure import Figure
-
-
-class MyFigure(Figure):
-    def __init__(self, *args, **kwargs):
-        """
-        custom kwarg figtitle is a figure title
-        """
-        figtitle = kwargs.pop('figtitle', 'hi mom')
-        Figure.__init__(self, *args, **kwargs)
-        self.text(0.5, 0.95, figtitle, ha='center')
-
-fig = figure(FigureClass=MyFigure, figtitle='my title')
-ax = fig.add_subplot(111)
-ax.plot([1, 2, 3])
-
-show()
diff --git a/examples/pylab_examples/custom_ticker1.py b/examples/pylab_examples/custom_ticker1.py
deleted file mode 100755
index c4aa02bc5496..000000000000
--- a/examples/pylab_examples/custom_ticker1.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-
-"""
-The new ticker code was designed to explicitly support user customized
-ticking.  The documentation
-http://matplotlib.org/matplotlib.ticker.html details this
-process.  That code defines a lot of preset tickers but was primarily
-designed to be user extensible.
-
-In this example a user defined function is used to format the ticks in
-millions of dollars on the y axis
-"""
-from matplotlib.ticker import FuncFormatter
-import matplotlib.pyplot as plt
-import numpy as np
-
-x = np.arange(4)
-money = [1.5e5, 2.5e6, 5.5e6, 2.0e7]
-
-
-def millions(x, pos):
-    'The two args are the value and tick position'
-    return '$%1.1fM' % (x*1e-6)
-
-formatter = FuncFormatter(millions)
-
-fig, ax = plt.subplots()
-ax.yaxis.set_major_formatter(formatter)
-plt.bar(x, money)
-plt.xticks(x + 0.5, ('Bill', 'Fred', 'Mary', 'Sue'))
-plt.show()
diff --git a/examples/pylab_examples/customize_rc.py b/examples/pylab_examples/customize_rc.py
deleted file mode 100644
index 50ab8bab9082..000000000000
--- a/examples/pylab_examples/customize_rc.py
+++ /dev/null
@@ -1,51 +0,0 @@
-
-"""
-I'm not trying to make a good looking figure here, but just to show
-some examples of customizing rc params on the fly
-
-If you like to work interactively, and need to create different sets
-of defaults for figures (e.g., one set of defaults for publication, one
-set for interactive exploration), you may want to define some
-functions in a custom module that set the defaults, e.g.,
-
-def set_pub():
-    rc('font', weight='bold')    # bold fonts are easier to see
-    rc('tick', labelsize=15)     # tick labels bigger
-    rc('lines', lw=1, color='k') # thicker black lines (no budget for color!)
-    rc('grid', c='0.5', ls='-', lw=0.5)  # solid gray grid lines
-    rc('savefig', dpi=300)       # higher res outputs
-
-
-
-Then as you are working interactively, you just need to do
-
->>> set_pub()
->>> subplot(111)
->>> plot([1,2,3])
->>> savefig('myfig')
->>> rcdefaults()  # restore the defaults
-
-"""
-from pylab import *
-
-subplot(311)
-plot([1, 2, 3])
-
-# the axes attributes need to be set before the call to subplot
-rc('font', weight='bold')
-rc('xtick.major', size=5, pad=7)
-rc('xtick', labelsize=15)
-
-# using aliases for color, linestyle and linewidth; gray, solid, thick
-rc('grid', c='0.5', ls='-', lw=5)
-rc('lines', lw=2, color='g')
-subplot(312)
-
-plot([1, 2, 3])
-grid(True)
-
-rcdefaults()
-subplot(313)
-plot([1, 2, 3])
-grid(True)
-show()
diff --git a/examples/pylab_examples/dashpointlabel.py b/examples/pylab_examples/dashpointlabel.py
deleted file mode 100644
index 9e8e03bedbbe..000000000000
--- a/examples/pylab_examples/dashpointlabel.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import matplotlib.pyplot as plt
-
-DATA = ((1, 3),
-        (2, 4),
-        (3, 1),
-        (4, 2))
-# dash_style =
-#     direction, length, (text)rotation, dashrotation, push
-# (The parameters are varied to show their effects,
-# not for visual appeal).
-dash_style = (
-    (0, 20, -15, 30, 10),
-    (1, 30, 0, 15, 10),
-    (0, 40, 15, 15, 10),
-    (1, 20, 30, 60, 10),
-    )
-
-fig, ax = plt.subplots()
-
-(x, y) = zip(*DATA)
-ax.plot(x, y, marker='o')
-for i in range(len(DATA)):
-    (x, y) = DATA[i]
-    (dd, dl, r, dr, dp) = dash_style[i]
-    #print('dashlen call %d' % dl)
-    t = ax.text(x, y, str((x, y)), withdash=True,
-                dashdirection=dd,
-                dashlength=dl,
-                rotation=r,
-                dashrotation=dr,
-                dashpush=dp,
-                )
-
-ax.set_xlim((0.0, 5.0))
-ax.set_ylim((0.0, 5.0))
-
-plt.show()
diff --git a/examples/pylab_examples/data_helper.py b/examples/pylab_examples/data_helper.py
deleted file mode 100755
index 291a6dc44813..000000000000
--- a/examples/pylab_examples/data_helper.py
+++ /dev/null
@@ -1,61 +0,0 @@
-#!/usr/bin/env python
-# Some functions to load a return data for the plot demos
-
-from numpy import fromstring, argsort, take, array, resize
-import matplotlib.cbook as cbook
-
-
-def get_two_stock_data():
-    """
-    load stock time and price data for two stocks The return values
-    (d1,p1,d2,p2) are the trade time (in days) and prices for stocks 1
-    and 2 (intc and aapl)
-    """
-    ticker1, ticker2 = 'INTC', 'AAPL'
-
-    file1 = cbook.get_sample_data('INTC.dat.gz')
-    file2 = cbook.get_sample_data('AAPL.dat.gz')
-    M1 = fromstring(file1.read(), '<d')
-
-    M1 = resize(M1, (M1.shape[0]/2, 2))
-
-    M2 = fromstring(file2.read(), '<d')
-    M2 = resize(M2, (M2.shape[0]/2, 2))
-
-    d1, p1 = M1[:, 0], M1[:, 1]
-    d2, p2 = M2[:, 0], M2[:, 1]
-    return (d1, p1, d2, p2)
-
-
-def get_daily_data():
-    """
-    return stock1 and stock2 instances, each of which have attributes
-
-      open, high, low, close, volume
-
-    as numeric arrays
-
-    """
-    class C:
-        pass
-
-    def get_ticker(ticker):
-        vals = []
-
-        datafile = cbook.get_sample_data('%s.csv' % ticker, asfileobj=False)
-
-        lines = open(datafile).readlines()
-        for line in lines[1:]:
-            vals.append([float(val) for val in line.split(',')[1:]])
-
-        M = array(vals)
-        c = C()
-        c.open = M[:, 0]
-        c.high = M[:, 1]
-        c.low = M[:, 2]
-        c.close = M[:, 3]
-        c.volume = M[:, 4]
-        return c
-    c1 = get_ticker('intc')
-    c2 = get_ticker('msft')
-    return c1, c2
diff --git a/examples/pylab_examples/date_demo1.py b/examples/pylab_examples/date_demo1.py
deleted file mode 100644
index 45fbf128840e..000000000000
--- a/examples/pylab_examples/date_demo1.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-"""
-Show how to make date plots in matplotlib using date tick locators and
-formatters.  See major_minor_demo1.py for more information on
-controlling major and minor ticks
-
-All matplotlib date plotting is done by converting date instances into
-days since the 0001-01-01 UTC.  The conversion, tick locating and
-formatting is done behind the scenes so this is most transparent to
-you.  The dates module provides several converter functions date2num
-and num2date
-
-This example requires an active internet connection since it uses
-yahoo finance to get the data for plotting
-"""
-
-import matplotlib.pyplot as plt
-from matplotlib.finance import quotes_historical_yahoo_ochl
-from matplotlib.dates import YearLocator, MonthLocator, DateFormatter
-import datetime
-date1 = datetime.date(1995, 1, 1)
-date2 = datetime.date(2004, 4, 12)
-
-years = YearLocator()   # every year
-months = MonthLocator()  # every month
-yearsFmt = DateFormatter('%Y')
-
-quotes = quotes_historical_yahoo_ochl('INTC', date1, date2)
-if len(quotes) == 0:
-    raise SystemExit
-
-dates = [q[0] for q in quotes]
-opens = [q[1] for q in quotes]
-
-fig, ax = plt.subplots()
-ax.plot_date(dates, opens, '-')
-
-# format the ticks
-ax.xaxis.set_major_locator(years)
-ax.xaxis.set_major_formatter(yearsFmt)
-ax.xaxis.set_minor_locator(months)
-ax.autoscale_view()
-
-
-# format the coords message box
-def price(x):
-    return '$%1.2f' % x
-ax.fmt_xdata = DateFormatter('%Y-%m-%d')
-ax.fmt_ydata = price
-ax.grid(True)
-
-fig.autofmt_xdate()
-plt.show()
diff --git a/examples/pylab_examples/date_demo2.py b/examples/pylab_examples/date_demo2.py
deleted file mode 100755
index 2457c9f824cc..000000000000
--- a/examples/pylab_examples/date_demo2.py
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/usr/bin/env python
-
-"""
-Show how to make date plots in matplotlib using date tick locators and
-formatters.  See major_minor_demo1.py for more information on
-controlling major and minor ticks
-"""
-from __future__ import print_function
-import datetime
-import matplotlib.pyplot as plt
-from matplotlib.dates import MONDAY
-from matplotlib.finance import quotes_historical_yahoo_ochl
-from matplotlib.dates import MonthLocator, WeekdayLocator, DateFormatter
-
-
-date1 = datetime.date(2002, 1, 5)
-date2 = datetime.date(2003, 12, 1)
-
-# every monday
-mondays = WeekdayLocator(MONDAY)
-
-# every 3rd month
-months = MonthLocator(range(1, 13), bymonthday=1, interval=3)
-monthsFmt = DateFormatter("%b '%y")
-
-
-quotes = quotes_historical_yahoo_ochl('INTC', date1, date2)
-if len(quotes) == 0:
-    print('Found no quotes')
-    raise SystemExit
-
-dates = [q[0] for q in quotes]
-opens = [q[1] for q in quotes]
-
-fig, ax = plt.subplots()
-ax.plot_date(dates, opens, '-')
-ax.xaxis.set_major_locator(months)
-ax.xaxis.set_major_formatter(monthsFmt)
-ax.xaxis.set_minor_locator(mondays)
-ax.autoscale_view()
-#ax.xaxis.grid(False, 'major')
-#ax.xaxis.grid(True, 'minor')
-ax.grid(True)
-
-fig.autofmt_xdate()
-
-plt.show()
diff --git a/examples/pylab_examples/date_demo_convert.py b/examples/pylab_examples/date_demo_convert.py
deleted file mode 100644
index 693a6752a3ca..000000000000
--- a/examples/pylab_examples/date_demo_convert.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-
-import datetime
-import matplotlib.pyplot as plt
-from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
-from numpy import arange
-
-date1 = datetime.datetime(2000, 3, 2)
-date2 = datetime.datetime(2000, 3, 6)
-delta = datetime.timedelta(hours=6)
-dates = drange(date1, date2, delta)
-
-y = arange(len(dates)*1.0)
-
-fig, ax = plt.subplots()
-ax.plot_date(dates, y*y)
-
-# this is superfluous, since the autoscaler should get it right, but
-# use date2num and num2date to convert between dates and floats if
-# you want; both date2num and num2date convert an instance or sequence
-ax.set_xlim(dates[0], dates[-1])
-
-# The hour locator takes the hour or sequence of hours you want to
-# tick, not the base multiple
-
-ax.xaxis.set_major_locator(DayLocator())
-ax.xaxis.set_minor_locator(HourLocator(arange(0, 25, 6)))
-ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d'))
-
-ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
-fig.autofmt_xdate()
-
-plt.show()
diff --git a/examples/pylab_examples/date_demo_rrule.py b/examples/pylab_examples/date_demo_rrule.py
deleted file mode 100644
index e48db31f2d7b..000000000000
--- a/examples/pylab_examples/date_demo_rrule.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-"""
-Show how to use an rrule instance to make a custom date ticker - here
-we put a tick mark on every 5th easter
-
-See https://moin.conectiva.com.br/DateUtil for help with rrules
-"""
-import matplotlib.pyplot as plt
-from matplotlib.dates import YEARLY, DateFormatter, rrulewrapper, RRuleLocator, drange
-import numpy as np
-import datetime
-
-# tick every 5th easter
-rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
-loc = RRuleLocator(rule)
-formatter = DateFormatter('%m/%d/%y')
-date1 = datetime.date(1952, 1, 1)
-date2 = datetime.date(2004, 4, 12)
-delta = datetime.timedelta(days=100)
-
-dates = drange(date1, date2, delta)
-s = np.random.rand(len(dates))  # make up some random y values
-
-
-fig, ax = plt.subplots()
-plt.plot_date(dates, s)
-ax.xaxis.set_major_locator(loc)
-ax.xaxis.set_major_formatter(formatter)
-labels = ax.get_xticklabels()
-plt.setp(labels, rotation=30, fontsize=10)
-
-plt.show()
diff --git a/examples/pylab_examples/date_index_formatter.py b/examples/pylab_examples/date_index_formatter.py
deleted file mode 100644
index 1234bb5b5850..000000000000
--- a/examples/pylab_examples/date_index_formatter.py
+++ /dev/null
@@ -1,42 +0,0 @@
-
-"""
-When plotting daily data, a frequent request is to plot the data
-ignoring skips, e.g., no extra spaces for weekends.  This is particularly
-common in financial time series, when you may have data for M-F and
-not Sat, Sun and you don't want gaps in the x axis.  The approach is
-to simply use the integer index for the xdata and a custom tick
-Formatter to get the appropriate date string for a given index.
-"""
-
-from __future__ import print_function
-import numpy
-from matplotlib.mlab import csv2rec
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-from matplotlib.ticker import Formatter
-
-datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
-print('loading %s' % datafile)
-r = csv2rec(datafile)[-40:]
-
-
-class MyFormatter(Formatter):
-    def __init__(self, dates, fmt='%Y-%m-%d'):
-        self.dates = dates
-        self.fmt = fmt
-
-    def __call__(self, x, pos=0):
-        'Return the label for time x at position pos'
-        ind = int(round(x))
-        if ind >= len(self.dates) or ind < 0:
-            return ''
-
-        return self.dates[ind].strftime(self.fmt)
-
-formatter = MyFormatter(r.date)
-
-fig, ax = plt.subplots()
-ax.xaxis.set_major_formatter(formatter)
-ax.plot(numpy.arange(len(r)), r.close, 'o-')
-fig.autofmt_xdate()
-plt.show()
diff --git a/examples/pylab_examples/demo_agg_filter.py b/examples/pylab_examples/demo_agg_filter.py
deleted file mode 100644
index 3337497675d2..000000000000
--- a/examples/pylab_examples/demo_agg_filter.py
+++ /dev/null
@@ -1,331 +0,0 @@
-import matplotlib.pyplot as plt
-
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-
-
-def smooth1d(x, window_len):
-    # copied from http://www.scipy.org/Cookbook/SignalSmooth
-
-    s = np.r_[2*x[0] - x[window_len:1:-1], x, 2*x[-1] - x[-1:-window_len:-1]]
-    w = np.hanning(window_len)
-    y = np.convolve(w/w.sum(), s, mode='same')
-    return y[window_len-1:-window_len+1]
-
-
-def smooth2d(A, sigma=3):
-
-    window_len = max(int(sigma), 3)*2 + 1
-    A1 = np.array([smooth1d(x, window_len) for x in np.asarray(A)])
-    A2 = np.transpose(A1)
-    A3 = np.array([smooth1d(x, window_len) for x in A2])
-    A4 = np.transpose(A3)
-
-    return A4
-
-
-class BaseFilter(object):
-    def prepare_image(self, src_image, dpi, pad):
-        ny, nx, depth = src_image.shape
-        #tgt_image = np.zeros([pad*2+ny, pad*2+nx, depth], dtype="d")
-        padded_src = np.zeros([pad*2 + ny, pad*2 + nx, depth], dtype="d")
-        padded_src[pad:-pad, pad:-pad, :] = src_image[:, :, :]
-
-        return padded_src  # , tgt_image
-
-    def get_pad(self, dpi):
-        return 0
-
-    def __call__(self, im, dpi):
-        pad = self.get_pad(dpi)
-        padded_src = self.prepare_image(im, dpi, pad)
-        tgt_image = self.process_image(padded_src, dpi)
-        return tgt_image, -pad, -pad
-
-
-class OffsetFilter(BaseFilter):
-    def __init__(self, offsets=None):
-        if offsets is None:
-            self.offsets = (0, 0)
-        else:
-            self.offsets = offsets
-
-    def get_pad(self, dpi):
-        return int(max(*self.offsets)/72.*dpi)
-
-    def process_image(self, padded_src, dpi):
-        ox, oy = self.offsets
-        a1 = np.roll(padded_src, int(ox/72.*dpi), axis=1)
-        a2 = np.roll(a1, -int(oy/72.*dpi), axis=0)
-        return a2
-
-
-class GaussianFilter(BaseFilter):
-    "simple gauss filter"
-
-    def __init__(self, sigma, alpha=0.5, color=None):
-        self.sigma = sigma
-        self.alpha = alpha
-        if color is None:
-            self.color = (0, 0, 0)
-        else:
-            self.color = color
-
-    def get_pad(self, dpi):
-        return int(self.sigma*3/72.*dpi)
-
-    def process_image(self, padded_src, dpi):
-        #offsetx, offsety = int(self.offsets[0]), int(self.offsets[1])
-        tgt_image = np.zeros_like(padded_src)
-        aa = smooth2d(padded_src[:, :, -1]*self.alpha,
-                      self.sigma/72.*dpi)
-        tgt_image[:, :, -1] = aa
-        tgt_image[:, :, :-1] = self.color
-        return tgt_image
-
-
-class DropShadowFilter(BaseFilter):
-    def __init__(self, sigma, alpha=0.3, color=None, offsets=None):
-        self.gauss_filter = GaussianFilter(sigma, alpha, color)
-        self.offset_filter = OffsetFilter(offsets)
-
-    def get_pad(self, dpi):
-        return max(self.gauss_filter.get_pad(dpi),
-                   self.offset_filter.get_pad(dpi))
-
-    def process_image(self, padded_src, dpi):
-        t1 = self.gauss_filter.process_image(padded_src, dpi)
-        t2 = self.offset_filter.process_image(t1, dpi)
-        return t2
-
-
-from matplotlib.colors import LightSource
-
-
-class LightFilter(BaseFilter):
-    "simple gauss filter"
-
-    def __init__(self, sigma, fraction=0.5):
-        self.gauss_filter = GaussianFilter(sigma, alpha=1)
-        self.light_source = LightSource()
-        self.fraction = fraction
-
-    def get_pad(self, dpi):
-        return self.gauss_filter.get_pad(dpi)
-
-    def process_image(self, padded_src, dpi):
-        t1 = self.gauss_filter.process_image(padded_src, dpi)
-        elevation = t1[:, :, 3]
-        rgb = padded_src[:, :, :3]
-
-        rgb2 = self.light_source.shade_rgb(rgb, elevation,
-                                           fraction=self.fraction)
-
-        tgt = np.empty_like(padded_src)
-        tgt[:, :, :3] = rgb2
-        tgt[:, :, 3] = padded_src[:, :, 3]
-
-        return tgt
-
-
-class GrowFilter(BaseFilter):
-    "enlarge the area"
-
-    def __init__(self, pixels, color=None):
-        self.pixels = pixels
-        if color is None:
-            self.color = (1, 1, 1)
-        else:
-            self.color = color
-
-    def __call__(self, im, dpi):
-        pad = self.pixels
-        ny, nx, depth = im.shape
-        new_im = np.empty([pad*2 + ny, pad*2 + nx, depth], dtype="d")
-        alpha = new_im[:, :, 3]
-        alpha.fill(0)
-        alpha[pad:-pad, pad:-pad] = im[:, :, -1]
-        alpha2 = np.clip(smooth2d(alpha, self.pixels/72.*dpi) * 5, 0, 1)
-        new_im[:, :, -1] = alpha2
-        new_im[:, :, :-1] = self.color
-        offsetx, offsety = -pad, -pad
-
-        return new_im, offsetx, offsety
-
-
-from matplotlib.artist import Artist
-
-
-class FilteredArtistList(Artist):
-    """
-    A simple container to draw filtered artist.
-    """
-
-    def __init__(self, artist_list, filter):
-        self._artist_list = artist_list
-        self._filter = filter
-        Artist.__init__(self)
-
-    def draw(self, renderer):
-        renderer.start_rasterizing()
-        renderer.start_filter()
-        for a in self._artist_list:
-            a.draw(renderer)
-        renderer.stop_filter(self._filter)
-        renderer.stop_rasterizing()
-
-
-import matplotlib.transforms as mtransforms
-
-
-def filtered_text(ax):
-    # mostly copied from contour_demo.py
-
-    # prepare image
-    delta = 0.025
-    x = np.arange(-3.0, 3.0, delta)
-    y = np.arange(-2.0, 2.0, delta)
-    X, Y = np.meshgrid(x, y)
-    Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-    Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-    # difference of Gaussians
-    Z = 10.0 * (Z2 - Z1)
-
-    # draw
-    im = ax.imshow(Z, interpolation='bilinear', origin='lower',
-                   cmap=cm.gray, extent=(-3, 3, -2, 2))
-    levels = np.arange(-1.2, 1.6, 0.2)
-    CS = ax.contour(Z, levels,
-                    origin='lower',
-                    linewidths=2,
-                    extent=(-3, 3, -2, 2))
-
-    ax.set_aspect("auto")
-
-    # contour label
-    cl = ax.clabel(CS, levels[1::2],  # label every second level
-                   inline=1,
-                   fmt='%1.1f',
-                   fontsize=11)
-
-    # change clable color to black
-    from matplotlib.patheffects import Normal
-    for t in cl:
-        t.set_color("k")
-        # to force TextPath (i.e., same font in all backends)
-        t.set_path_effects([Normal()])
-
-    # Add white glows to improve visibility of labels.
-    white_glows = FilteredArtistList(cl, GrowFilter(3))
-    ax.add_artist(white_glows)
-    white_glows.set_zorder(cl[0].get_zorder() - 0.1)
-
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-
-def drop_shadow_line(ax):
-    # copied from examples/misc/svg_filter_line.py
-
-    # draw lines
-    l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-",
-                  mec="b", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
-    l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "ro-",
-                  mec="r", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
-
-    gauss = DropShadowFilter(4)
-
-    for l in [l1, l2]:
-
-        # draw shadows with same lines with slight offset.
-
-        xx = l.get_xdata()
-        yy = l.get_ydata()
-        shadow, = ax.plot(xx, yy)
-        shadow.update_from(l)
-
-        # offset transform
-        ot = mtransforms.offset_copy(l.get_transform(), ax.figure,
-                                     x=4.0, y=-6.0, units='points')
-
-        shadow.set_transform(ot)
-
-        # adjust zorder of the shadow lines so that it is drawn below the
-        # original lines
-        shadow.set_zorder(l.get_zorder() - 0.5)
-        shadow.set_agg_filter(gauss)
-        shadow.set_rasterized(True)  # to support mixed-mode renderers
-
-    ax.set_xlim(0., 1.)
-    ax.set_ylim(0., 1.)
-
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-
-def drop_shadow_patches(ax):
-    # copyed from barchart_demo.py
-    N = 5
-    menMeans = (20, 35, 30, 35, 27)
-
-    ind = np.arange(N)  # the x locations for the groups
-    width = 0.35       # the width of the bars
-
-    rects1 = ax.bar(ind, menMeans, width, color='r', ec="w", lw=2)
-
-    womenMeans = (25, 32, 34, 20, 25)
-    rects2 = ax.bar(ind + width + 0.1, womenMeans, width, color='y', ec="w", lw=2)
-
-    #gauss = GaussianFilter(1.5, offsets=(1,1), )
-    gauss = DropShadowFilter(5, offsets=(1, 1), )
-    shadow = FilteredArtistList(rects1 + rects2, gauss)
-    ax.add_artist(shadow)
-    shadow.set_zorder(rects1[0].get_zorder() - 0.1)
-
-    ax.set_xlim(ind[0] - 0.5, ind[-1] + 1.5)
-    ax.set_ylim(0, 40)
-
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-
-def light_filter_pie(ax):
-    fracs = [15, 30, 45, 10]
-    explode = (0, 0.05, 0, 0)
-    pies = ax.pie(fracs, explode=explode)
-    ax.patch.set_visible(True)
-
-    light_filter = LightFilter(9)
-    for p in pies[0]:
-        p.set_agg_filter(light_filter)
-        p.set_rasterized(True)  # to support mixed-mode renderers
-        p.set(ec="none",
-              lw=2)
-
-    gauss = DropShadowFilter(9, offsets=(3, 4), alpha=0.7)
-    shadow = FilteredArtistList(pies[0], gauss)
-    ax.add_artist(shadow)
-    shadow.set_zorder(pies[0][0].get_zorder() - 0.1)
-
-
-if 1:
-
-    plt.figure(1, figsize=(6, 6))
-    plt.subplots_adjust(left=0.05, right=0.95)
-
-    ax = plt.subplot(221)
-    filtered_text(ax)
-
-    ax = plt.subplot(222)
-    drop_shadow_line(ax)
-
-    ax = plt.subplot(223)
-    drop_shadow_patches(ax)
-
-    ax = plt.subplot(224)
-    ax.set_aspect(1)
-    light_filter_pie(ax)
-    ax.set_frame_on(True)
-
-    plt.show()
diff --git a/examples/pylab_examples/demo_annotation_box.py b/examples/pylab_examples/demo_annotation_box.py
deleted file mode 100644
index 0bb5c5b81b5e..000000000000
--- a/examples/pylab_examples/demo_annotation_box.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, \
-    AnnotationBbox
-from matplotlib.cbook import get_sample_data
-
-import numpy as np
-
-if 1:
-    fig, ax = plt.subplots()
-
-    offsetbox = TextArea("Test 1", minimumdescent=False)
-
-    xy = (0.5, 0.7)
-
-    ax.plot(xy[0], xy[1], ".r")
-
-    ab = AnnotationBbox(offsetbox, xy,
-                        xybox=(-20, 40),
-                        xycoords='data',
-                        boxcoords="offset points",
-                        arrowprops=dict(arrowstyle="->"))
-    ax.add_artist(ab)
-
-    offsetbox = TextArea("Test", minimumdescent=False)
-
-    ab = AnnotationBbox(offsetbox, xy,
-                        xybox=(1.02, xy[1]),
-                        xycoords='data',
-                        boxcoords=("axes fraction", "data"),
-                        box_alignment=(0., 0.5),
-                        arrowprops=dict(arrowstyle="->"))
-    ax.add_artist(ab)
-
-    from matplotlib.patches import Circle
-    da = DrawingArea(20, 20, 0, 0)
-    p = Circle((10, 10), 10)
-    da.add_artist(p)
-
-    xy = [0.3, 0.55]
-    ab = AnnotationBbox(da, xy,
-                        xybox=(1.02, xy[1]),
-                        xycoords='data',
-                        boxcoords=("axes fraction", "data"),
-                        box_alignment=(0., 0.5),
-                        arrowprops=dict(arrowstyle="->"))
-                        #arrowprops=None)
-
-    ax.add_artist(ab)
-
-    arr = np.arange(100).reshape((10, 10))
-    im = OffsetImage(arr, zoom=2)
-
-    ab = AnnotationBbox(im, xy,
-                        xybox=(-50., 50.),
-                        xycoords='data',
-                        boxcoords="offset points",
-                        pad=0.3,
-                        arrowprops=dict(arrowstyle="->"))
-                        #arrowprops=None)
-
-    ax.add_artist(ab)
-
-    # another image
-
-    from matplotlib._png import read_png
-    fn = get_sample_data("grace_hopper.png", asfileobj=False)
-    arr_lena = read_png(fn)
-
-    imagebox = OffsetImage(arr_lena, zoom=0.2)
-
-    ab = AnnotationBbox(imagebox, xy,
-                        xybox=(120., -80.),
-                        xycoords='data',
-                        boxcoords="offset points",
-                        pad=0.5,
-                        arrowprops=dict(arrowstyle="->",
-                                        connectionstyle="angle,angleA=0,angleB=90,rad=3")
-                        )
-
-    ax.add_artist(ab)
-
-    ax.set_xlim(0, 1)
-    ax.set_ylim(0, 1)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/pylab_examples/demo_bboximage.py b/examples/pylab_examples/demo_bboximage.py
deleted file mode 100644
index 6744ca9ece6e..000000000000
--- a/examples/pylab_examples/demo_bboximage.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.image import BboxImage
-from matplotlib.transforms import Bbox, TransformedBbox
-
-if __name__ == "__main__":
-
-    fig = plt.figure(1)
-    ax = plt.subplot(121)
-
-    txt = ax.text(0.5, 0.5, "test", size=30, ha="center", color="w")
-    kwargs = dict()
-
-    bbox_image = BboxImage(txt.get_window_extent,
-                           norm=None,
-                           origin=None,
-                           clip_on=False,
-                           **kwargs
-                           )
-    a = np.arange(256).reshape(1, 256)/256.
-    bbox_image.set_data(a)
-    ax.add_artist(bbox_image)
-
-    ax = plt.subplot(122)
-    a = np.linspace(0, 1, 256).reshape(1, -1)
-    a = np.vstack((a, a))
-
-    maps = sorted(m for m in plt.cm.datad if not m.endswith("_r"))
-    #nmaps = len(maps) + 1
-
-    #fig.subplots_adjust(top=0.99, bottom=0.01, left=0.2, right=0.99)
-
-    ncol = 2
-    nrow = len(maps)//ncol + 1
-
-    xpad_fraction = 0.3
-    dx = 1./(ncol + xpad_fraction*(ncol - 1))
-
-    ypad_fraction = 0.3
-    dy = 1./(nrow + ypad_fraction*(nrow - 1))
-
-    for i, m in enumerate(maps):
-        ix, iy = divmod(i, nrow)
-        #plt.figimage(a, 10, i*10, cmap=plt.get_cmap(m), origin='lower')
-        bbox0 = Bbox.from_bounds(ix*dx*(1 + xpad_fraction),
-                                 1. - iy*dy*(1 + ypad_fraction) - dy,
-                                 dx, dy)
-        bbox = TransformedBbox(bbox0, ax.transAxes)
-
-        bbox_image = BboxImage(bbox,
-                               cmap=plt.get_cmap(m),
-                               norm=None,
-                               origin=None,
-                               **kwargs
-                               )
-
-        bbox_image.set_data(a)
-        ax.add_artist(bbox_image)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/pylab_examples/demo_ribbon_box.py b/examples/pylab_examples/demo_ribbon_box.py
deleted file mode 100644
index df39dede071a..000000000000
--- a/examples/pylab_examples/demo_ribbon_box.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.image import BboxImage
-
-from matplotlib._png import read_png
-import matplotlib.colors
-from matplotlib.cbook import get_sample_data
-
-
-class RibbonBox(object):
-
-    original_image = read_png(get_sample_data("Minduka_Present_Blue_Pack.png",
-                                              asfileobj=False))
-    cut_location = 70
-    b_and_h = original_image[:, :, 2]
-    color = original_image[:, :, 2] - original_image[:, :, 0]
-    alpha = original_image[:, :, 3]
-    nx = original_image.shape[1]
-
-    def __init__(self, color):
-        rgb = matplotlib.colors.colorConverter.to_rgb(color)
-
-        im = np.empty(self.original_image.shape,
-                      self.original_image.dtype)
-
-        im[:, :, :3] = self.b_and_h[:, :, np.newaxis]
-        im[:, :, :3] -= self.color[:, :, np.newaxis]*(1. - np.array(rgb))
-        im[:, :, 3] = self.alpha
-
-        self.im = im
-
-    def get_stretched_image(self, stretch_factor):
-        stretch_factor = max(stretch_factor, 1)
-        ny, nx, nch = self.im.shape
-        ny2 = int(ny*stretch_factor)
-
-        stretched_image = np.empty((ny2, nx, nch),
-                                   self.im.dtype)
-        cut = self.im[self.cut_location, :, :]
-        stretched_image[:, :, :] = cut
-        stretched_image[:self.cut_location, :, :] = \
-            self.im[:self.cut_location, :, :]
-        stretched_image[-(ny - self.cut_location):, :, :] = \
-            self.im[-(ny - self.cut_location):, :, :]
-
-        self._cached_im = stretched_image
-        return stretched_image
-
-
-class RibbonBoxImage(BboxImage):
-    zorder = 1
-
-    def __init__(self, bbox, color,
-                 cmap=None,
-                 norm=None,
-                 interpolation=None,
-                 origin=None,
-                 filternorm=1,
-                 filterrad=4.0,
-                 resample=False,
-                 **kwargs
-                 ):
-
-        BboxImage.__init__(self, bbox,
-                           cmap=cmap,
-                           norm=norm,
-                           interpolation=interpolation,
-                           origin=origin,
-                           filternorm=filternorm,
-                           filterrad=filterrad,
-                           resample=resample,
-                           **kwargs
-                           )
-
-        self._ribbonbox = RibbonBox(color)
-        self._cached_ny = None
-
-    def draw(self, renderer, *args, **kwargs):
-
-        bbox = self.get_window_extent(renderer)
-        stretch_factor = bbox.height / bbox.width
-
-        ny = int(stretch_factor*self._ribbonbox.nx)
-        if self._cached_ny != ny:
-            arr = self._ribbonbox.get_stretched_image(stretch_factor)
-            self.set_array(arr)
-            self._cached_ny = ny
-
-        BboxImage.draw(self, renderer, *args, **kwargs)
-
-
-if 1:
-    from matplotlib.transforms import Bbox, TransformedBbox
-    from matplotlib.ticker import ScalarFormatter
-
-    fig, ax = plt.subplots()
-
-    years = np.arange(2004, 2009)
-    box_colors = [(0.8, 0.2, 0.2),
-                  (0.2, 0.8, 0.2),
-                  (0.2, 0.2, 0.8),
-                  (0.7, 0.5, 0.8),
-                  (0.3, 0.8, 0.7),
-                  ]
-    heights = np.random.random(years.shape) * 7000 + 3000
-
-    fmt = ScalarFormatter(useOffset=False)
-    ax.xaxis.set_major_formatter(fmt)
-
-    for year, h, bc in zip(years, heights, box_colors):
-        bbox0 = Bbox.from_extents(year - 0.4, 0., year + 0.4, h)
-        bbox = TransformedBbox(bbox0, ax.transData)
-        rb_patch = RibbonBoxImage(bbox, bc, interpolation="bicubic")
-
-        ax.add_artist(rb_patch)
-
-        ax.annotate(r"%d" % (int(h/100.)*100),
-                    (year, h), va="bottom", ha="center")
-
-    patch_gradient = BboxImage(ax.bbox,
-                               interpolation="bicubic",
-                               zorder=0.1,
-                               )
-    gradient = np.zeros((2, 2, 4), dtype=np.float)
-    gradient[:, :, :3] = [1, 1, 0.]
-    gradient[:, :, 3] = [[0.1, 0.3], [0.3, 0.5]]  # alpha channel
-    patch_gradient.set_array(gradient)
-    ax.add_artist(patch_gradient)
-
-    ax.set_xlim(years[0] - 0.5, years[-1] + 0.5)
-    ax.set_ylim(0, 10000)
-
-    fig.savefig('ribbon_box.png')
-    plt.show()
diff --git a/examples/pylab_examples/demo_text_path.py b/examples/pylab_examples/demo_text_path.py
deleted file mode 100644
index f155fd5dc6f2..000000000000
--- a/examples/pylab_examples/demo_text_path.py
+++ /dev/null
@@ -1,151 +0,0 @@
-
-# -*- coding: utf-8 -*-
-
-import matplotlib.pyplot as plt
-from matplotlib.image import BboxImage
-import numpy as np
-from matplotlib.transforms import IdentityTransform
-
-import matplotlib.patches as mpatches
-
-from matplotlib.offsetbox import AnnotationBbox,\
-    AnchoredOffsetbox, AuxTransformBox
-
-from matplotlib.cbook import get_sample_data
-
-from matplotlib.text import TextPath
-
-
-class PathClippedImagePatch(mpatches.PathPatch):
-    """
-    The given image is used to draw the face of the patch. Internally,
-    it uses BboxImage whose clippath set to the path of the patch.
-
-    FIXME : The result is currently dpi dependent.
-    """
-
-    def __init__(self, path, bbox_image, **kwargs):
-        mpatches.PathPatch.__init__(self, path, **kwargs)
-        self._init_bbox_image(bbox_image)
-
-    def set_facecolor(self, color):
-        """simply ignore facecolor"""
-        mpatches.PathPatch.set_facecolor(self, "none")
-
-    def _init_bbox_image(self, im):
-
-        bbox_image = BboxImage(self.get_window_extent,
-                               norm=None,
-                               origin=None,
-                               )
-        bbox_image.set_transform(IdentityTransform())
-
-        bbox_image.set_data(im)
-        self.bbox_image = bbox_image
-
-    def draw(self, renderer=None):
-
-        # the clip path must be updated every draw. any solution? -JJ
-        self.bbox_image.set_clip_path(self._path, self.get_transform())
-        self.bbox_image.draw(renderer)
-
-        mpatches.PathPatch.draw(self, renderer)
-
-
-if 1:
-
-    usetex = plt.rcParams["text.usetex"]
-
-    fig = plt.figure(1)
-
-    # EXAMPLE 1
-
-    ax = plt.subplot(211)
-
-    from matplotlib._png import read_png
-    fn = get_sample_data("grace_hopper.png", asfileobj=False)
-    arr = read_png(fn)
-
-    text_path = TextPath((0, 0), "!?", size=150)
-    p = PathClippedImagePatch(text_path, arr, ec="k",
-                              transform=IdentityTransform())
-
-    #p.set_clip_on(False)
-
-    # make offset box
-    offsetbox = AuxTransformBox(IdentityTransform())
-    offsetbox.add_artist(p)
-
-    # make anchored offset box
-    ao = AnchoredOffsetbox(loc=2, child=offsetbox, frameon=True, borderpad=0.2)
-    ax.add_artist(ao)
-
-    # another text
-    from matplotlib.patches import PathPatch
-    if usetex:
-        r = r"\mbox{textpath supports mathtext \& \TeX}"
-    else:
-        r = r"textpath supports mathtext & TeX"
-
-    text_path = TextPath((0, 0), r,
-                         size=20, usetex=usetex)
-
-    p1 = PathPatch(text_path, ec="w", lw=3, fc="w", alpha=0.9,
-                   transform=IdentityTransform())
-    p2 = PathPatch(text_path, ec="none", fc="k",
-                   transform=IdentityTransform())
-
-    offsetbox2 = AuxTransformBox(IdentityTransform())
-    offsetbox2.add_artist(p1)
-    offsetbox2.add_artist(p2)
-
-    ab = AnnotationBbox(offsetbox2, (0.95, 0.05),
-                        xycoords='axes fraction',
-                        boxcoords="offset points",
-                        box_alignment=(1., 0.),
-                        frameon=False
-                        )
-    ax.add_artist(ab)
-
-    ax.imshow([[0, 1, 2], [1, 2, 3]], cmap=plt.cm.gist_gray_r,
-              interpolation="bilinear",
-              aspect="auto")
-
-    # EXAMPLE 2
-
-    ax = plt.subplot(212)
-
-    arr = np.arange(256).reshape(1, 256)/256.
-
-    if usetex:
-        s = r"$\displaystyle\left[\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}\right]$!"
-    else:
-        s = r"$\left[\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}\right]$!"
-    text_path = TextPath((0, 0), s, size=40, usetex=usetex)
-    text_patch = PathClippedImagePatch(text_path, arr, ec="none",
-                                       transform=IdentityTransform())
-
-    shadow1 = mpatches.Shadow(text_patch, 1, -1, props=dict(fc="none", ec="0.6", lw=3))
-    shadow2 = mpatches.Shadow(text_patch, 1, -1, props=dict(fc="0.3", ec="none"))
-
-    # make offset box
-    offsetbox = AuxTransformBox(IdentityTransform())
-    offsetbox.add_artist(shadow1)
-    offsetbox.add_artist(shadow2)
-    offsetbox.add_artist(text_patch)
-
-    # place the anchored offset box using AnnotationBbox
-    ab = AnnotationBbox(offsetbox, (0.5, 0.5),
-                        xycoords='data',
-                        boxcoords="offset points",
-                        box_alignment=(0.5, 0.5),
-                        )
-    #text_path.set_size(10)
-
-    ax.add_artist(ab)
-
-    ax.set_xlim(0, 1)
-    ax.set_ylim(0, 1)
-
-    plt.draw()
-    plt.show()
diff --git a/examples/pylab_examples/demo_text_rotation_mode.py b/examples/pylab_examples/demo_text_rotation_mode.py
deleted file mode 100644
index 264aa49e927d..000000000000
--- a/examples/pylab_examples/demo_text_rotation_mode.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from mpl_toolkits.axes_grid1.axes_grid import ImageGrid
-
-
-def test_rotation_mode(fig, mode, subplot_location):
-    ha_list = "left center right".split()
-    va_list = "top center baseline bottom".split()
-    grid = ImageGrid(fig, subplot_location,
-                     nrows_ncols=(len(va_list), len(ha_list)),
-                     share_all=True, aspect=True,
-                     #label_mode='1',
-                     cbar_mode=None)
-
-    for ha, ax in zip(ha_list, grid.axes_row[-1]):
-        ax.axis["bottom"].label.set_text(ha)
-
-    grid.axes_row[0][1].set_title(mode, size="large")
-
-    for va, ax in zip(va_list, grid.axes_column[0]):
-        ax.axis["left"].label.set_text(va)
-
-    i = 0
-    for va in va_list:
-        for ha in ha_list:
-            ax = grid[i]
-            for axis in ax.axis.values():
-                axis.toggle(ticks=False, ticklabels=False)
-
-            ax.text(0.5, 0.5, "Tpg",
-                    size="large", rotation=40,
-                    bbox=dict(boxstyle="square,pad=0.",
-                              ec="none", fc="0.5", alpha=0.5),
-                    ha=ha, va=va,
-                    rotation_mode=mode)
-            ax.axvline(0.5)
-            ax.axhline(0.5)
-            i += 1
-
-if 1:
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1, figsize=(5.5, 4))
-    fig.clf()
-
-    test_rotation_mode(fig, "default", 121)
-    test_rotation_mode(fig, "anchor", 122)
-    plt.show()
diff --git a/examples/pylab_examples/demo_tight_layout.py b/examples/pylab_examples/demo_tight_layout.py
deleted file mode 100644
index 789dab3944ce..000000000000
--- a/examples/pylab_examples/demo_tight_layout.py
+++ /dev/null
@@ -1,104 +0,0 @@
-
-import matplotlib.pyplot as plt
-
-
-import random
-fontsizes = [8, 16, 24, 32]
-
-
-def example_plot(ax):
-    ax.plot([1, 2])
-    ax.set_xlabel('x-label', fontsize=random.choice(fontsizes))
-    ax.set_ylabel('y-label', fontsize=random.choice(fontsizes))
-    ax.set_title('Title', fontsize=random.choice(fontsizes))
-
-fig, ax = plt.subplots()
-example_plot(ax)
-plt.tight_layout()
-
-fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
-example_plot(ax1)
-example_plot(ax2)
-example_plot(ax3)
-example_plot(ax4)
-plt.tight_layout()
-
-fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1)
-example_plot(ax1)
-example_plot(ax2)
-plt.tight_layout()
-
-fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2)
-example_plot(ax1)
-example_plot(ax2)
-plt.tight_layout()
-
-fig, axes = plt.subplots(nrows=3, ncols=3)
-for row in axes:
-    for ax in row:
-        example_plot(ax)
-plt.tight_layout()
-
-
-fig = plt.figure()
-
-ax1 = plt.subplot(221)
-ax2 = plt.subplot(223)
-ax3 = plt.subplot(122)
-
-example_plot(ax1)
-example_plot(ax2)
-example_plot(ax3)
-
-plt.tight_layout()
-
-
-fig = plt.figure()
-
-ax1 = plt.subplot2grid((3, 3), (0, 0))
-ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
-ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
-ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
-
-example_plot(ax1)
-example_plot(ax2)
-example_plot(ax3)
-example_plot(ax4)
-
-plt.tight_layout()
-
-plt.show()
-
-
-fig = plt.figure()
-
-import matplotlib.gridspec as gridspec
-
-gs1 = gridspec.GridSpec(3, 1)
-ax1 = fig.add_subplot(gs1[0])
-ax2 = fig.add_subplot(gs1[1])
-ax3 = fig.add_subplot(gs1[2])
-
-example_plot(ax1)
-example_plot(ax2)
-example_plot(ax3)
-
-gs1.tight_layout(fig, rect=[None, None, 0.45, None])
-
-gs2 = gridspec.GridSpec(2, 1)
-ax4 = fig.add_subplot(gs2[0])
-ax5 = fig.add_subplot(gs2[1])
-
-#example_plot(ax4)
-#example_plot(ax5)
-
-gs2.tight_layout(fig, rect=[0.45, None, None, None])
-
-# now match the top and bottom of two gridspecs.
-top = min(gs1.top, gs2.top)
-bottom = max(gs1.bottom, gs2.bottom)
-
-gs1.update(top=top, bottom=bottom)
-gs2.update(top=top, bottom=bottom)
-
-plt.show()
diff --git a/examples/pylab_examples/dolphin.py b/examples/pylab_examples/dolphin.py
deleted file mode 100644
index 90f5764914f2..000000000000
--- a/examples/pylab_examples/dolphin.py
+++ /dev/null
@@ -1,91 +0,0 @@
-import matplotlib.cm as cm
-import matplotlib.pyplot as plt
-from matplotlib.patches import Circle, PathPatch
-from matplotlib.path import Path
-from matplotlib.transforms import Affine2D
-import numpy as np
-
-
-r = np.random.rand(50)
-t = np.random.rand(50) * np.pi * 2.0
-x = r * np.cos(t)
-y = r * np.sin(t)
-
-fig, ax = plt.subplots(figsize=(6, 6))
-circle = Circle((0, 0), 1, facecolor='none',
-                edgecolor=(0, 0.8, 0.8), linewidth=3, alpha=0.5)
-ax.add_patch(circle)
-
-im = plt.imshow(np.random.random((100, 100)),
-                origin='lower', cmap=cm.winter,
-                interpolation='spline36',
-                extent=([-1, 1, -1, 1]))
-im.set_clip_path(circle)
-
-plt.plot(x, y, 'o', color=(0.9, 0.9, 1.0), alpha=0.8)
-
-# Dolphin from OpenClipart library by Andy Fitzsimon
-#       <cc:License rdf:about="http://web.resource.org/cc/PublicDomain">
-#         <cc:permits rdf:resource="http://web.resource.org/cc/Reproduction"/>
-#         <cc:permits rdf:resource="http://web.resource.org/cc/Distribution"/>
-#         <cc:permits rdf:resource="http://web.resource.org/cc/DerivativeWorks"/>
-#       </cc:License>
-
-dolphin = """
-M -0.59739425,160.18173 C -0.62740401,160.18885 -0.57867129,160.11183
--0.57867129,160.11183 C -0.57867129,160.11183 -0.5438361,159.89315
--0.39514638,159.81496 C -0.24645668,159.73678 -0.18316813,159.71981
--0.18316813,159.71981 C -0.18316813,159.71981 -0.10322971,159.58124
--0.057804323,159.58725 C -0.029723983,159.58913 -0.061841603,159.60356
--0.071265813,159.62815 C -0.080250183,159.65325 -0.082918513,159.70554
--0.061841203,159.71248 C -0.040763903,159.7194 -0.0066711426,159.71091
-0.077336307,159.73612 C 0.16879567,159.76377 0.28380306,159.86448
-0.31516668,159.91533 C 0.3465303,159.96618 0.5011127,160.1771
-0.5011127,160.1771 C 0.63668998,160.19238 0.67763022,160.31259
-0.66556395,160.32668 C 0.65339985,160.34212 0.66350443,160.33642
-0.64907098,160.33088 C 0.63463742,160.32533 0.61309688,160.297
-0.5789627,160.29339 C 0.54348657,160.28968 0.52329693,160.27674
-0.50728856,160.27737 C 0.49060916,160.27795 0.48965803,160.31565
-0.46114204,160.33673 C 0.43329696,160.35786 0.4570711,160.39871
-0.43309565,160.40685 C 0.4105108,160.41442 0.39416631,160.33027
-0.3954995,160.2935 C 0.39683269,160.25672 0.43807996,160.21522
-0.44567915,160.19734 C 0.45327833,160.17946 0.27946869,159.9424
--0.061852613,159.99845 C -0.083965233,160.0427 -0.26176109,160.06683
--0.26176109,160.06683 C -0.30127962,160.07028 -0.21167141,160.09731
--0.24649368,160.1011 C -0.32642366,160.11569 -0.34521187,160.06895
--0.40622293,160.0819 C -0.467234,160.09485 -0.56738444,160.17461
--0.59739425,160.18173
-"""
-
-vertices = []
-codes = []
-parts = dolphin.split()
-i = 0
-code_map = {
-    'M': (Path.MOVETO, 1),
-    'C': (Path.CURVE4, 3),
-    'L': (Path.LINETO, 1)
-    }
-
-while i < len(parts):
-    code = parts[i]
-    path_code, npoints = code_map[code]
-    codes.extend([path_code] * npoints)
-    vertices.extend([[float(x) for x in y.split(',')] for y in
-                     parts[i + 1:i + npoints + 1]])
-    i += npoints + 1
-vertices = np.array(vertices, np.float)
-vertices[:, 1] -= 160
-
-dolphin_path = Path(vertices, codes)
-dolphin_patch = PathPatch(dolphin_path, facecolor=(0.6, 0.6, 0.6),
-                          edgecolor=(0.0, 0.0, 0.0))
-ax.add_patch(dolphin_patch)
-
-vertices = Affine2D().rotate_deg(60).transform(vertices)
-dolphin_path2 = Path(vertices, codes)
-dolphin_patch2 = PathPatch(dolphin_path2, facecolor=(0.5, 0.5, 0.5),
-                           edgecolor=(0.0, 0.0, 0.0))
-ax.add_patch(dolphin_patch2)
-
-plt.show()
diff --git a/examples/pylab_examples/ellipse_collection.py b/examples/pylab_examples/ellipse_collection.py
deleted file mode 100644
index 3d98c0c12467..000000000000
--- a/examples/pylab_examples/ellipse_collection.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.collections import EllipseCollection
-
-x = np.arange(10)
-y = np.arange(15)
-X, Y = np.meshgrid(x, y)
-
-XY = np.hstack((X.ravel()[:, np.newaxis], Y.ravel()[:, np.newaxis]))
-
-ww = X/10.0
-hh = Y/15.0
-aa = X*9
-
-
-fig, ax = plt.subplots()
-
-ec = EllipseCollection(ww, hh, aa, units='x', offsets=XY,
-                       transOffset=ax.transData)
-ec.set_array((X + Y).ravel())
-ax.add_collection(ec)
-ax.autoscale_view()
-ax.set_xlabel('X')
-ax.set_ylabel('y')
-cbar = plt.colorbar(ec)
-cbar.set_label('X+Y')
-plt.show()
diff --git a/examples/pylab_examples/ellipse_demo.py b/examples/pylab_examples/ellipse_demo.py
deleted file mode 100644
index 866c9c096f24..000000000000
--- a/examples/pylab_examples/ellipse_demo.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from pylab import figure, show, rand
-from matplotlib.patches import Ellipse
-
-NUM = 250
-
-ells = [Ellipse(xy=rand(2)*10, width=rand(), height=rand(), angle=rand()*360)
-        for i in range(NUM)]
-
-fig = figure()
-ax = fig.add_subplot(111, aspect='equal')
-for e in ells:
-    ax.add_artist(e)
-    e.set_clip_box(ax.bbox)
-    e.set_alpha(rand())
-    e.set_facecolor(rand(3))
-
-ax.set_xlim(0, 10)
-ax.set_ylim(0, 10)
-
-show()
diff --git a/examples/pylab_examples/ellipse_rotated.py b/examples/pylab_examples/ellipse_rotated.py
deleted file mode 100644
index 023db0db1bff..000000000000
--- a/examples/pylab_examples/ellipse_rotated.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from pylab import *
-from matplotlib.patches import Ellipse
-
-delta = 45.0  # degrees
-
-angles = arange(0, 360 + delta, delta)
-ells = [Ellipse((1, 1), 4, 2, a) for a in angles]
-
-a = subplot(111, aspect='equal')
-
-for e in ells:
-    e.set_clip_box(a.bbox)
-    e.set_alpha(0.1)
-    a.add_artist(e)
-
-xlim(-2, 4)
-ylim(-1, 3)
-
-show()
diff --git a/examples/pylab_examples/equal_aspect_ratio.py b/examples/pylab_examples/equal_aspect_ratio.py
deleted file mode 100755
index e2c5dd3056e9..000000000000
--- a/examples/pylab_examples/equal_aspect_ratio.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/usr/bin/env python
-"""
-Example: simple line plot.
-Show how to make a plot that has equal aspect ratio
-"""
-from pylab import *
-
-t = arange(0.0, 1.0 + 0.01, 0.01)
-s = cos(2*2*pi*t)
-plot(t, s, '-', lw=2)
-
-xlabel('time (s)')
-ylabel('voltage (mV)')
-title('About as simple as it gets, folks')
-grid(True)
-
-axes().set_aspect('equal', 'datalim')
-
-
-show()
diff --git a/examples/pylab_examples/errorbar_limits.py b/examples/pylab_examples/errorbar_limits.py
deleted file mode 100644
index 9e750dda270d..000000000000
--- a/examples/pylab_examples/errorbar_limits.py
+++ /dev/null
@@ -1,40 +0,0 @@
-'''
-Illustration of upper and lower limit symbols on errorbars
-'''
-
-from math import pi
-from numpy import array, arange, sin
-import pylab as P
-
-fig = P.figure()
-x = arange(10.0)
-y = sin(arange(10.0)/20.0*pi)
-
-P.errorbar(x, y, yerr=0.1, capsize=3)
-
-y = sin(arange(10.0)/20.0*pi) + 1
-P.errorbar(x, y, yerr=0.1, uplims=True)
-
-y = sin(arange(10.0)/20.0*pi) + 2
-upperlimits = array([1, 0]*5)
-lowerlimits = array([0, 1]*5)
-P.errorbar(x, y, yerr=0.1, uplims=upperlimits, lolims=lowerlimits)
-
-P.xlim(-1, 10)
-
-fig = P.figure()
-x = arange(10.0)/10.0
-y = (x + 0.1)**2
-
-P.errorbar(x, y, xerr=0.1, xlolims=True)
-y = (x + 0.1)**3
-
-P.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits)
-
-y = (x + 0.1)**4
-P.errorbar(x + 1.2, y, xerr=0.1, xuplims=True)
-
-P.xlim(-0.2, 2.4)
-P.ylim(-0.1, 1.3)
-
-P.show()
diff --git a/examples/pylab_examples/errorbar_subsample.py b/examples/pylab_examples/errorbar_subsample.py
deleted file mode 100644
index 6b21a36d4920..000000000000
--- a/examples/pylab_examples/errorbar_subsample.py
+++ /dev/null
@@ -1,30 +0,0 @@
-'''
-Demo for the errorevery keyword to show data full accuracy data plots with
-few errorbars.
-'''
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-# example data
-x = np.arange(0.1, 4, 0.1)
-y = np.exp(-x)
-
-# example variable error bar values
-yerr = 0.1 + 0.1*np.sqrt(x)
-
-
-# Now switch to a more OO interface to exercise more features.
-fig, axs = plt.subplots(nrows=1, ncols=2, sharex=True)
-ax = axs[0]
-ax.errorbar(x, y, yerr=yerr)
-ax.set_title('all errorbars')
-
-ax = axs[1]
-ax.errorbar(x, y, yerr=yerr, errorevery=5)
-ax.set_title('only every 5th errorbar')
-
-
-fig.suptitle('Errorbar subsampling for better visualibility')
-
-plt.show()
diff --git a/examples/pylab_examples/eventcollection_demo.py b/examples/pylab_examples/eventcollection_demo.py
deleted file mode 100644
index 3510a70479ae..000000000000
--- a/examples/pylab_examples/eventcollection_demo.py
+++ /dev/null
@@ -1,54 +0,0 @@
-#!/usr/bin/env python
-# -*- Coding:utf-8 -*-
-'''Plot two curves, then use EventCollections to mark the locations of the x
-and y data points on the respective axes for each curve'''
-
-import matplotlib.pyplot as plt
-from matplotlib.collections import EventCollection
-import numpy as np
-
-# create random data
-np.random.seed(50)
-xdata = np.random.random([2, 10])
-
-# split the data into two parts
-xdata1 = xdata[0, :]
-xdata2 = xdata[1, :]
-
-# sort the data so it makes clean curves
-xdata1.sort()
-xdata2.sort()
-
-# create some y data points
-ydata1 = xdata1 ** 2
-ydata2 = 1 - xdata2 ** 3
-
-# plot the data
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ax.plot(xdata1, ydata1, 'r', xdata2, ydata2, 'b')
-
-# create the events marking the x data points
-xevents1 = EventCollection(xdata1, color=[1, 0, 0], linelength=0.05)
-xevents2 = EventCollection(xdata2, color=[0, 0, 1], linelength=0.05)
-
-# create the events marking the y data points
-yevents1 = EventCollection(ydata1, color=[1, 0, 0], linelength=0.05,
-                           orientation='vertical')
-yevents2 = EventCollection(ydata2, color=[0, 0, 1], linelength=0.05,
-                           orientation='vertical')
-
-# add the events to the axis
-ax.add_collection(xevents1)
-ax.add_collection(xevents2)
-ax.add_collection(yevents1)
-ax.add_collection(yevents2)
-
-# set the limits
-ax.set_xlim([0, 1])
-ax.set_ylim([0, 1])
-
-ax.set_title('line plot with data points')
-
-# display the plot
-plt.show()
diff --git a/examples/pylab_examples/eventplot_demo.py b/examples/pylab_examples/eventplot_demo.py
deleted file mode 100755
index 8f58d24ec66d..000000000000
--- a/examples/pylab_examples/eventplot_demo.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/env python
-# -*- Coding:utf-8 -*-
-'''an eventplot showing sequences of events with various line properties
-the plot is shown in both horizontal and vertical orientations'''
-
-import matplotlib.pyplot as plt
-import numpy as np
-import matplotlib
-matplotlib.rcParams['font.size'] = 8.0
-
-# set the random seed
-np.random.seed(0)
-
-# create random data
-data1 = np.random.random([6, 50])
-
-# set different colors for each set of positions
-colors1 = np.array([[1, 0, 0],
-                    [0, 1, 0],
-                    [0, 0, 1],
-                    [1, 1, 0],
-                    [1, 0, 1],
-                    [0, 1, 1]])
-
-# set different line properties for each set of positions
-# note that some overlap
-lineoffsets1 = np.array([-15, -3, 1, 1.5, 6, 10])
-linelengths1 = [5, 2, 1, 1, 3, 1.5]
-
-fig = plt.figure()
-
-# create a horizontal plot
-ax1 = fig.add_subplot(221)
-ax1.eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
-              linelengths=linelengths1)
-
-
-# create a vertical plot
-ax2 = fig.add_subplot(223)
-ax2.eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
-              linelengths=linelengths1, orientation='vertical')
-
-# create another set of random data.
-# the gamma distribution is only used fo aesthetic purposes
-data2 = np.random.gamma(4, size=[60, 50])
-
-# use individual values for the parameters this time
-# these values will be used for all data sets (except lineoffsets2, which
-# sets the increment between each data set in this usage)
-colors2 = [[0, 0, 0]]
-lineoffsets2 = 1
-linelengths2 = 1
-
-# create a horizontal plot
-ax1 = fig.add_subplot(222)
-ax1.eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
-              linelengths=linelengths2)
-
-
-# create a vertical plot
-ax2 = fig.add_subplot(224)
-ax2.eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
-              linelengths=linelengths2, orientation='vertical')
-
-plt.show()
diff --git a/examples/pylab_examples/fancyarrow_demo.py b/examples/pylab_examples/fancyarrow_demo.py
deleted file mode 100644
index 6fceb9878d18..000000000000
--- a/examples/pylab_examples/fancyarrow_demo.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import matplotlib.patches as mpatches
-import matplotlib.pyplot as plt
-
-styles = mpatches.ArrowStyle.get_styles()
-
-ncol = 2
-nrow = (len(styles) + 1) // ncol
-figheight = (nrow + 0.5)
-fig1 = plt.figure(1, (4.*ncol/1.5, figheight/1.5))
-fontsize = 0.2 * 70
-
-
-ax = fig1.add_axes([0, 0, 1, 1], frameon=False, aspect=1.)
-
-ax.set_xlim(0, 4*ncol)
-ax.set_ylim(0, figheight)
-
-
-def to_texstring(s):
-    s = s.replace("<", r"$<$")
-    s = s.replace(">", r"$>$")
-    s = s.replace("|", r"$|$")
-    return s
-
-for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
-    x = 3.2 + (i//nrow)*4
-    y = (figheight - 0.7 - i % nrow)  # /figheight
-    p = mpatches.Circle((x, y), 0.2, fc="w")
-    ax.add_patch(p)
-
-    ax.annotate(to_texstring(stylename), (x, y),
-                (x - 1.2, y),
-                #xycoords="figure fraction", textcoords="figure fraction",
-                ha="right", va="center",
-                size=fontsize,
-                arrowprops=dict(arrowstyle=stylename,
-                                patchB=p,
-                                shrinkA=5,
-                                shrinkB=5,
-                                fc="w", ec="k",
-                                connectionstyle="arc3,rad=-0.05",
-                                ),
-                bbox=dict(boxstyle="square", fc="w"))
-
-ax.xaxis.set_visible(False)
-ax.yaxis.set_visible(False)
-
-
-plt.draw()
-plt.show()
diff --git a/examples/pylab_examples/fancybox_demo.py b/examples/pylab_examples/fancybox_demo.py
deleted file mode 100644
index 410fbf8890ee..000000000000
--- a/examples/pylab_examples/fancybox_demo.py
+++ /dev/null
@@ -1,163 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.transforms as mtransforms
-from matplotlib.patches import FancyBboxPatch
-
-
-# Bbox object around which the fancy box will be drawn.
-bb = mtransforms.Bbox([[0.3, 0.4], [0.7, 0.6]])
-
-
-def draw_bbox(ax, bb):
-    # boxstyle=square with pad=0, i.e. bbox itself.
-    p_bbox = FancyBboxPatch((bb.xmin, bb.ymin),
-                            abs(bb.width), abs(bb.height),
-                            boxstyle="square,pad=0.",
-                            ec="k", fc="none", zorder=10.,
-                            )
-    ax.add_patch(p_bbox)
-
-
-def test1(ax):
-
-    # a fancy box with round corners. pad=0.1
-    p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
-                             abs(bb.width), abs(bb.height),
-                             boxstyle="round,pad=0.1",
-                             fc=(1., .8, 1.),
-                             ec=(1., 0.5, 1.))
-
-    ax.add_patch(p_fancy)
-
-    ax.text(0.1, 0.8,
-            r' boxstyle="round,pad=0.1"',
-            size=10, transform=ax.transAxes)
-
-    # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
-
-    # draw the original bbox in black
-    draw_bbox(ax, bb)
-
-
-def test2(ax):
-
-    # bbox=round has two optional argument. pad and rounding_size.
-    # They can be set during the initialization.
-    p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
-                             abs(bb.width), abs(bb.height),
-                             boxstyle="round,pad=0.1",
-                             fc=(1., .8, 1.),
-                             ec=(1., 0.5, 1.))
-
-    ax.add_patch(p_fancy)
-
-    # boxstyle and its argument can be later modified with
-    # set_boxstyle method. Note that the old attributes are simply
-    # forgotten even if the boxstyle name is same.
-
-    p_fancy.set_boxstyle("round,pad=0.1, rounding_size=0.2")
-    # or
-    #p_fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
-
-    ax.text(0.1, 0.8,
-            ' boxstyle="round,pad=0.1\n rounding\\_size=0.2"',
-            size=10, transform=ax.transAxes)
-
-    # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
-
-    draw_bbox(ax, bb)
-
-
-def test3(ax):
-
-    # mutation_scale determine overall scale of the mutation,
-    # i.e. both pad and rounding_size is scaled according to this
-    # value.
-    p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
-                             abs(bb.width), abs(bb.height),
-                             boxstyle="round,pad=0.1",
-                             mutation_scale=2.,
-                             fc=(1., .8, 1.),
-                             ec=(1., 0.5, 1.))
-
-    ax.add_patch(p_fancy)
-
-    ax.text(0.1, 0.8,
-            ' boxstyle="round,pad=0.1"\n mutation\\_scale=2',
-            size=10, transform=ax.transAxes)
-
-    # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
-
-    draw_bbox(ax, bb)
-
-
-def test4(ax):
-
-    # When the aspect ratio of the axes is not 1, the fancy box may
-    # not be what you expected (green)
-
-    p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
-                             abs(bb.width), abs(bb.height),
-                             boxstyle="round,pad=0.2",
-                             fc="none",
-                             ec=(0., .5, 0.), zorder=4)
-
-    ax.add_patch(p_fancy)
-
-    # You can compensate this by setting the mutation_aspect (pink).
-    p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
-                             abs(bb.width), abs(bb.height),
-                             boxstyle="round,pad=0.3",
-                             mutation_aspect=.5,
-                             fc=(1., 0.8, 1.),
-                             ec=(1., 0.5, 1.))
-
-    ax.add_patch(p_fancy)
-
-    ax.text(0.1, 0.8,
-            ' boxstyle="round,pad=0.3"\n mutation\\_aspect=.5',
-            size=10, transform=ax.transAxes)
-
-    draw_bbox(ax, bb)
-
-
-def test_all():
-    plt.clf()
-
-    ax = plt.subplot(2, 2, 1)
-    test1(ax)
-    ax.set_xlim(0., 1.)
-    ax.set_ylim(0., 1.)
-    ax.set_title("test1")
-    ax.set_aspect(1.)
-
-    ax = plt.subplot(2, 2, 2)
-    ax.set_title("test2")
-    test2(ax)
-    ax.set_xlim(0., 1.)
-    ax.set_ylim(0., 1.)
-    ax.set_aspect(1.)
-
-    ax = plt.subplot(2, 2, 3)
-    ax.set_title("test3")
-    test3(ax)
-    ax.set_xlim(0., 1.)
-    ax.set_ylim(0., 1.)
-    ax.set_aspect(1)
-
-    ax = plt.subplot(2, 2, 4)
-    ax.set_title("test4")
-    test4(ax)
-    ax.set_xlim(-0.5, 1.5)
-    ax.set_ylim(0., 1.)
-    ax.set_aspect(2.)
-
-    plt.draw()
-    plt.show()
-
-test_all()
diff --git a/examples/pylab_examples/fancybox_demo2.py b/examples/pylab_examples/fancybox_demo2.py
deleted file mode 100644
index dc953d4866d5..000000000000
--- a/examples/pylab_examples/fancybox_demo2.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import matplotlib.patches as mpatch
-import matplotlib.pyplot as plt
-
-styles = mpatch.BoxStyle.get_styles()
-spacing = 1.2
-
-figheight = (spacing * len(styles) + .5)
-fig1 = plt.figure(1, (4/1.5, figheight/1.5))
-fontsize = 0.3 * 72
-
-for i, stylename in enumerate(sorted(styles.keys())):
-    fig1.text(0.5, (spacing * (float(len(styles)) - i) - 0.5)/figheight, stylename,
-              ha="center",
-              size=fontsize,
-              transform=fig1.transFigure,
-              bbox=dict(boxstyle=stylename, fc="w", ec="k"))
-plt.draw()
-plt.show()
diff --git a/examples/pylab_examples/fancytextbox_demo.py b/examples/pylab_examples/fancytextbox_demo.py
deleted file mode 100644
index cd339f02ecd8..000000000000
--- a/examples/pylab_examples/fancytextbox_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import matplotlib.pyplot as plt
-
-plt.text(0.6, 0.5, "test", size=50, rotation=30.,
-         ha="center", va="center",
-         bbox=dict(boxstyle="round",
-                   ec=(1., 0.5, 0.5),
-                   fc=(1., 0.8, 0.8),
-                   )
-         )
-
-plt.text(0.5, 0.4, "test", size=50, rotation=-30.,
-         ha="right", va="top",
-         bbox=dict(boxstyle="square",
-                   ec=(1., 0.5, 0.5),
-                   fc=(1., 0.8, 0.8),
-                   )
-         )
-
-
-plt.draw()
-plt.show()
diff --git a/examples/pylab_examples/figimage_demo.py b/examples/pylab_examples/figimage_demo.py
deleted file mode 100644
index 07383ee04bdf..000000000000
--- a/examples/pylab_examples/figimage_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-"""
-This illustrates placing images directly in the figure, with no axes.
-
-"""
-import numpy as np
-import matplotlib
-import matplotlib.cm as cm
-import matplotlib.pyplot as plt
-
-
-fig = plt.figure()
-Z = np.arange(10000.0)
-Z.shape = 100, 100
-Z[:, 50:] = 1.
-
-im1 = plt.figimage(Z, xo=50, yo=0, cmap=cm.jet, origin='lower')
-im2 = plt.figimage(Z, xo=100, yo=100, alpha=.8, cmap=cm.jet, origin='lower')
-
-plt.show()
diff --git a/examples/pylab_examples/figlegend_demo.py b/examples/pylab_examples/figlegend_demo.py
deleted file mode 100644
index 8cda7bedd46f..000000000000
--- a/examples/pylab_examples/figlegend_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig = plt.figure()
-ax1 = fig.add_axes([0.1, 0.1, 0.4, 0.7])
-ax2 = fig.add_axes([0.55, 0.1, 0.4, 0.7])
-
-x = np.arange(0.0, 2.0, 0.02)
-y1 = np.sin(2*np.pi*x)
-y2 = np.exp(-x)
-l1, l2 = ax1.plot(x, y1, 'rs-', x, y2, 'go')
-
-y3 = np.sin(4*np.pi*x)
-y4 = np.exp(-2*x)
-l3, l4 = ax2.plot(x, y3, 'yd-', x, y4, 'k^')
-
-fig.legend((l1, l2), ('Line 1', 'Line 2'), 'upper left')
-fig.legend((l3, l4), ('Line 3', 'Line 4'), 'upper right')
-plt.show()
diff --git a/examples/pylab_examples/figure_title.py b/examples/pylab_examples/figure_title.py
deleted file mode 100644
index 5df86ac1c3b7..000000000000
--- a/examples/pylab_examples/figure_title.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-from matplotlib.font_manager import FontProperties
-from pylab import *
-
-
-def f(t):
-    s1 = cos(2*pi*t)
-    e1 = exp(-t)
-    return multiply(s1, e1)
-
-t1 = arange(0.0, 5.0, 0.1)
-t2 = arange(0.0, 5.0, 0.02)
-t3 = arange(0.0, 2.0, 0.01)
-
-
-subplot(121)
-plot(t1, f(t1), 'bo', t2, f(t2), 'k')
-title('subplot 1')
-ylabel('Damped oscillation')
-suptitle('This is a somewhat long figure title', fontsize=16)
-
-
-subplot(122)
-plot(t3, cos(2*pi*t3), 'r--')
-xlabel('time (s)')
-title('subplot 2')
-ylabel('Undamped')
-
-show()
diff --git a/examples/pylab_examples/fill_between_demo.py b/examples/pylab_examples/fill_between_demo.py
deleted file mode 100644
index df0f0c2894ad..000000000000
--- a/examples/pylab_examples/fill_between_demo.py
+++ /dev/null
@@ -1,58 +0,0 @@
-#!/usr/bin/env python
-import matplotlib.pyplot as plt
-import numpy as np
-
-x = np.arange(0.0, 2, 0.01)
-y1 = np.sin(2*np.pi*x)
-y2 = 1.2*np.sin(4*np.pi*x)
-
-fig, (ax1, ax2, ax3) = plt.subplots(3, 1, sharex=True)
-
-ax1.fill_between(x, 0, y1)
-ax1.set_ylabel('between y1 and 0')
-
-ax2.fill_between(x, y1, 1)
-ax2.set_ylabel('between y1 and 1')
-
-ax3.fill_between(x, y1, y2)
-ax3.set_ylabel('between y1 and y2')
-ax3.set_xlabel('x')
-
-# now fill between y1 and y2 where a logical condition is met.  Note
-# this is different than calling
-#   fill_between(x[where], y1[where],y2[where]
-# because of edge effects over multiple contiguous regions.
-fig, (ax, ax1) = plt.subplots(2, 1, sharex=True)
-ax.plot(x, y1, x, y2, color='black')
-ax.fill_between(x, y1, y2, where=y2 >= y1, facecolor='green', interpolate=True)
-ax.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True)
-ax.set_title('fill between where')
-
-# Test support for masked arrays.
-y2 = np.ma.masked_greater(y2, 1.0)
-ax1.plot(x, y1, x, y2, color='black')
-ax1.fill_between(x, y1, y2, where=y2 >= y1, facecolor='green', interpolate=True)
-ax1.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True)
-ax1.set_title('Now regions with y2>1 are masked')
-
-# This example illustrates a problem; because of the data
-# gridding, there are undesired unfilled triangles at the crossover
-# points.  A brute-force solution would be to interpolate all
-# arrays to a very fine grid before plotting.
-
-# show how to use transforms to create axes spans where a certain condition is satisfied
-fig, ax = plt.subplots()
-y = np.sin(4*np.pi*x)
-ax.plot(x, y, color='black')
-
-# use the data coordinates for the x-axis and the axes coordinates for the y-axis
-import matplotlib.transforms as mtransforms
-trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)
-theta = 0.9
-ax.axhline(theta, color='green', lw=2, alpha=0.5)
-ax.axhline(-theta, color='red', lw=2, alpha=0.5)
-ax.fill_between(x, 0, 1, where=y > theta, facecolor='green', alpha=0.5, transform=trans)
-ax.fill_between(x, 0, 1, where=y < -theta, facecolor='red', alpha=0.5, transform=trans)
-
-
-plt.show()
diff --git a/examples/pylab_examples/fill_betweenx_demo.py b/examples/pylab_examples/fill_betweenx_demo.py
deleted file mode 100644
index 708f81903cf0..000000000000
--- a/examples/pylab_examples/fill_betweenx_demo.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-Copy of fill_between.py but using fill_betweenx() instead.
-"""
-import matplotlib.mlab as mlab
-from matplotlib.pyplot import figure, show
-import numpy as np
-
-
-x = np.arange(0.0, 2, 0.01)
-y1 = np.sin(2*np.pi*x)
-y2 = 1.2*np.sin(4*np.pi*x)
-
-fig = figure()
-ax1 = fig.add_subplot(311)
-ax2 = fig.add_subplot(312, sharex=ax1)
-ax3 = fig.add_subplot(313, sharex=ax1)
-
-ax1.fill_betweenx(x, 0, y1)
-ax1.set_ylabel('between y1 and 0')
-
-ax2.fill_betweenx(x, y1, 1)
-ax2.set_ylabel('between y1 and 1')
-
-ax3.fill_betweenx(x, y1, y2)
-ax3.set_ylabel('between y1 and y2')
-ax3.set_xlabel('x')
-
-# now fill between y1 and y2 where a logical condition is met.  Note
-# this is different than calling
-#   fill_between(x[where], y1[where],y2[where]
-# because of edge effects over multiple contiguous regions.
-fig = figure()
-ax = fig.add_subplot(211)
-ax.plot(y1, x, y2, x, color='black')
-ax.fill_betweenx(x, y1, y2, where=y2 >= y1, facecolor='green')
-ax.fill_betweenx(x, y1, y2, where=y2 <= y1, facecolor='red')
-ax.set_title('fill between where')
-
-# Test support for masked arrays.
-y2 = np.ma.masked_greater(y2, 1.0)
-ax1 = fig.add_subplot(212, sharex=ax)
-ax1.plot(y1, x, y2, x, color='black')
-ax1.fill_betweenx(x, y1, y2, where=y2 >= y1, facecolor='green')
-ax1.fill_betweenx(x, y1, y2, where=y2 <= y1, facecolor='red')
-ax1.set_title('Now regions with y2 > 1 are masked')
-
-# This example illustrates a problem; because of the data
-# gridding, there are undesired unfilled triangles at the crossover
-# points.  A brute-force solution would be to interpolate all
-# arrays to a very fine grid before plotting.
-
-show()
diff --git a/examples/pylab_examples/fill_spiral.py b/examples/pylab_examples/fill_spiral.py
deleted file mode 100644
index ea91671ad69c..000000000000
--- a/examples/pylab_examples/fill_spiral.py
+++ /dev/null
@@ -1,24 +0,0 @@
-#!/usr/bin/env python
-
-from pylab import *
-
-theta = arange(0, 8*pi, 0.1)
-a = 1
-b = .2
-
-for dt in arange(0, 2*pi, pi/2.0):
-
-    x = a*cos(theta + dt)*exp(b*theta)
-    y = a*sin(theta + dt)*exp(b*theta)
-
-    dt = dt + pi/4.0
-
-    x2 = a*cos(theta + dt)*exp(b*theta)
-    y2 = a*sin(theta + dt)*exp(b*theta)
-
-    xf = concatenate((x, x2[::-1]))
-    yf = concatenate((y, y2[::-1]))
-
-    p1 = fill(xf, yf)
-
-show()
diff --git a/examples/pylab_examples/finance_demo.py b/examples/pylab_examples/finance_demo.py
deleted file mode 100644
index c1cc76870fb9..000000000000
--- a/examples/pylab_examples/finance_demo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-import matplotlib.pyplot as plt
-from matplotlib.dates import DateFormatter, WeekdayLocator,\
-    DayLocator, MONDAY
-from matplotlib.finance import quotes_historical_yahoo_ohlc, candlestick_ohlc
-
-
-# (Year, month, day) tuples suffice as args for quotes_historical_yahoo
-date1 = (2004, 2, 1)
-date2 = (2004, 4, 12)
-
-
-mondays = WeekdayLocator(MONDAY)        # major ticks on the mondays
-alldays = DayLocator()              # minor ticks on the days
-weekFormatter = DateFormatter('%b %d')  # e.g., Jan 12
-dayFormatter = DateFormatter('%d')      # e.g., 12
-
-quotes = quotes_historical_yahoo_ohlc('INTC', date1, date2)
-if len(quotes) == 0:
-    raise SystemExit
-
-fig, ax = plt.subplots()
-fig.subplots_adjust(bottom=0.2)
-ax.xaxis.set_major_locator(mondays)
-ax.xaxis.set_minor_locator(alldays)
-ax.xaxis.set_major_formatter(weekFormatter)
-#ax.xaxis.set_minor_formatter(dayFormatter)
-
-#plot_day_summary(ax, quotes, ticksize=3)
-candlestick_ohlc(ax, quotes, width=0.6)
-
-ax.xaxis_date()
-ax.autoscale_view()
-plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right')
-
-plt.show()
diff --git a/examples/pylab_examples/finance_work2.py b/examples/pylab_examples/finance_work2.py
deleted file mode 100644
index 1ed78c5651c4..000000000000
--- a/examples/pylab_examples/finance_work2.py
+++ /dev/null
@@ -1,207 +0,0 @@
-import datetime
-import numpy as np
-import matplotlib.colors as colors
-import matplotlib.finance as finance
-import matplotlib.dates as mdates
-import matplotlib.ticker as mticker
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-import matplotlib.font_manager as font_manager
-
-
-startdate = datetime.date(2006, 1, 1)
-today = enddate = datetime.date.today()
-ticker = 'SPY'
-
-
-fh = finance.fetch_historical_yahoo(ticker, startdate, enddate)
-# a numpy record array with fields: date, open, high, low, close, volume, adj_close)
-
-r = mlab.csv2rec(fh)
-fh.close()
-r.sort()
-
-
-def moving_average(x, n, type='simple'):
-    """
-    compute an n period moving average.
-
-    type is 'simple' | 'exponential'
-
-    """
-    x = np.asarray(x)
-    if type == 'simple':
-        weights = np.ones(n)
-    else:
-        weights = np.exp(np.linspace(-1., 0., n))
-
-    weights /= weights.sum()
-
-    a = np.convolve(x, weights, mode='full')[:len(x)]
-    a[:n] = a[n]
-    return a
-
-
-def relative_strength(prices, n=14):
-    """
-    compute the n period relative strength indicator
-    http://stockcharts.com/school/doku.php?id=chart_school:glossary_r#relativestrengthindex
-    http://www.investopedia.com/terms/r/rsi.asp
-    """
-
-    deltas = np.diff(prices)
-    seed = deltas[:n+1]
-    up = seed[seed >= 0].sum()/n
-    down = -seed[seed < 0].sum()/n
-    rs = up/down
-    rsi = np.zeros_like(prices)
-    rsi[:n] = 100. - 100./(1. + rs)
-
-    for i in range(n, len(prices)):
-        delta = deltas[i - 1]  # cause the diff is 1 shorter
-
-        if delta > 0:
-            upval = delta
-            downval = 0.
-        else:
-            upval = 0.
-            downval = -delta
-
-        up = (up*(n - 1) + upval)/n
-        down = (down*(n - 1) + downval)/n
-
-        rs = up/down
-        rsi[i] = 100. - 100./(1. + rs)
-
-    return rsi
-
-
-def moving_average_convergence(x, nslow=26, nfast=12):
-    """
-    compute the MACD (Moving Average Convergence/Divergence) using a fast and slow exponential moving avg'
-    return value is emaslow, emafast, macd which are len(x) arrays
-    """
-    emaslow = moving_average(x, nslow, type='exponential')
-    emafast = moving_average(x, nfast, type='exponential')
-    return emaslow, emafast, emafast - emaslow
-
-
-plt.rc('axes', grid=True)
-plt.rc('grid', color='0.75', linestyle='-', linewidth=0.5)
-
-textsize = 9
-left, width = 0.1, 0.8
-rect1 = [left, 0.7, width, 0.2]
-rect2 = [left, 0.3, width, 0.4]
-rect3 = [left, 0.1, width, 0.2]
-
-
-fig = plt.figure(facecolor='white')
-axescolor = '#f6f6f6'  # the axes background color
-
-ax1 = fig.add_axes(rect1, axisbg=axescolor)  # left, bottom, width, height
-ax2 = fig.add_axes(rect2, axisbg=axescolor, sharex=ax1)
-ax2t = ax2.twinx()
-ax3 = fig.add_axes(rect3, axisbg=axescolor, sharex=ax1)
-
-
-# plot the relative strength indicator
-prices = r.adj_close
-rsi = relative_strength(prices)
-fillcolor = 'darkgoldenrod'
-
-ax1.plot(r.date, rsi, color=fillcolor)
-ax1.axhline(70, color=fillcolor)
-ax1.axhline(30, color=fillcolor)
-ax1.fill_between(r.date, rsi, 70, where=(rsi >= 70), facecolor=fillcolor, edgecolor=fillcolor)
-ax1.fill_between(r.date, rsi, 30, where=(rsi <= 30), facecolor=fillcolor, edgecolor=fillcolor)
-ax1.text(0.6, 0.9, '>70 = overbought', va='top', transform=ax1.transAxes, fontsize=textsize)
-ax1.text(0.6, 0.1, '<30 = oversold', transform=ax1.transAxes, fontsize=textsize)
-ax1.set_ylim(0, 100)
-ax1.set_yticks([30, 70])
-ax1.text(0.025, 0.95, 'RSI (14)', va='top', transform=ax1.transAxes, fontsize=textsize)
-ax1.set_title('%s daily' % ticker)
-
-# plot the price and volume data
-dx = r.adj_close - r.close
-low = r.low + dx
-high = r.high + dx
-
-deltas = np.zeros_like(prices)
-deltas[1:] = np.diff(prices)
-up = deltas > 0
-ax2.vlines(r.date[up], low[up], high[up], color='black', label='_nolegend_')
-ax2.vlines(r.date[~up], low[~up], high[~up], color='black', label='_nolegend_')
-ma20 = moving_average(prices, 20, type='simple')
-ma200 = moving_average(prices, 200, type='simple')
-
-linema20, = ax2.plot(r.date, ma20, color='blue', lw=2, label='MA (20)')
-linema200, = ax2.plot(r.date, ma200, color='red', lw=2, label='MA (200)')
-
-
-last = r[-1]
-s = '%s O:%1.2f H:%1.2f L:%1.2f C:%1.2f, V:%1.1fM Chg:%+1.2f' % (
-    today.strftime('%d-%b-%Y'),
-    last.open, last.high,
-    last.low, last.close,
-    last.volume*1e-6,
-    last.close - last.open)
-t4 = ax2.text(0.3, 0.9, s, transform=ax2.transAxes, fontsize=textsize)
-
-props = font_manager.FontProperties(size=10)
-leg = ax2.legend(loc='center left', shadow=True, fancybox=True, prop=props)
-leg.get_frame().set_alpha(0.5)
-
-
-volume = (r.close*r.volume)/1e6  # dollar volume in millions
-vmax = volume.max()
-poly = ax2t.fill_between(r.date, volume, 0, label='Volume', facecolor=fillcolor, edgecolor=fillcolor)
-ax2t.set_ylim(0, 5*vmax)
-ax2t.set_yticks([])
-
-
-# compute the MACD indicator
-fillcolor = 'darkslategrey'
-nslow = 26
-nfast = 12
-nema = 9
-emaslow, emafast, macd = moving_average_convergence(prices, nslow=nslow, nfast=nfast)
-ema9 = moving_average(macd, nema, type='exponential')
-ax3.plot(r.date, macd, color='black', lw=2)
-ax3.plot(r.date, ema9, color='blue', lw=1)
-ax3.fill_between(r.date, macd - ema9, 0, alpha=0.5, facecolor=fillcolor, edgecolor=fillcolor)
-
-
-ax3.text(0.025, 0.95, 'MACD (%d, %d, %d)' % (nfast, nslow, nema), va='top',
-         transform=ax3.transAxes, fontsize=textsize)
-
-#ax3.set_yticks([])
-# turn off upper axis tick labels, rotate the lower ones, etc
-for ax in ax1, ax2, ax2t, ax3:
-    if ax != ax3:
-        for label in ax.get_xticklabels():
-            label.set_visible(False)
-    else:
-        for label in ax.get_xticklabels():
-            label.set_rotation(30)
-            label.set_horizontalalignment('right')
-
-    ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d')
-
-
-class MyLocator(mticker.MaxNLocator):
-    def __init__(self, *args, **kwargs):
-        mticker.MaxNLocator.__init__(self, *args, **kwargs)
-
-    def __call__(self, *args, **kwargs):
-        return mticker.MaxNLocator.__call__(self, *args, **kwargs)
-
-# at most 5 ticks, pruning the upper and lower so they don't overlap
-# with other ticks
-#ax2.yaxis.set_major_locator(mticker.MaxNLocator(5, prune='both'))
-#ax3.yaxis.set_major_locator(mticker.MaxNLocator(5, prune='both'))
-
-ax2.yaxis.set_major_locator(MyLocator(5, prune='both'))
-ax3.yaxis.set_major_locator(MyLocator(5, prune='both'))
-
-plt.show()
diff --git a/examples/pylab_examples/font_table_ttf.py b/examples/pylab_examples/font_table_ttf.py
deleted file mode 100755
index fbe5dc1fc985..000000000000
--- a/examples/pylab_examples/font_table_ttf.py
+++ /dev/null
@@ -1,67 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-"""
-matplotlib has support for freetype fonts.  Here's a little example
-using the 'table' command to build a font table that shows the glyphs
-by character code.
-
-Usage python font_table_ttf.py somefile.ttf
-"""
-
-import sys
-import os
-
-import matplotlib
-from matplotlib.ft2font import FT2Font
-from matplotlib.font_manager import FontProperties
-from pylab import figure, table, show, axis, title
-
-import six
-from six import unichr
-
-# the font table grid
-
-labelc = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
-          'A', 'B', 'C', 'D', 'E', 'F']
-labelr = ['00', '10', '20', '30', '40', '50', '60', '70', '80', '90',
-          'A0', 'B0', 'C0', 'D0', 'E0', 'F0']
-
-if len(sys.argv) > 1:
-    fontname = sys.argv[1]
-else:
-    fontname = os.path.join(matplotlib.get_data_path(),
-                            'fonts', 'ttf', 'Vera.ttf')
-
-font = FT2Font(fontname)
-codes = list(font.get_charmap().items())
-codes.sort()
-
-# a 16,16 array of character strings
-chars = [['' for c in range(16)] for r in range(16)]
-colors = [[(0.95, 0.95, 0.95) for c in range(16)] for r in range(16)]
-
-figure(figsize=(8, 4), dpi=120)
-for ccode, glyphind in codes:
-    if ccode >= 256:
-        continue
-    r, c = divmod(ccode, 16)
-    s = unichr(ccode)
-    chars[r][c] = s
-
-lightgrn = (0.5, 0.8, 0.5)
-title(fontname)
-tab = table(cellText=chars,
-            rowLabels=labelr,
-            colLabels=labelc,
-            rowColours=[lightgrn]*16,
-            colColours=[lightgrn]*16,
-            cellColours=colors,
-            cellLoc='center',
-            loc='upper left')
-
-for key, cell in tab.get_celld().items():
-    row, col = key
-    if row > 0 and col > 0:
-        cell.set_text_props(fontproperties=FontProperties(fname=fontname))
-axis('off')
-show()
diff --git a/examples/pylab_examples/fonts_demo.py b/examples/pylab_examples/fonts_demo.py
deleted file mode 100644
index a49ca221057b..000000000000
--- a/examples/pylab_examples/fonts_demo.py
+++ /dev/null
@@ -1,113 +0,0 @@
-#!/usr/bin/env python
-"""
-Show how to set custom font properties.
-
-For interactive users, you can also use kwargs to the text command,
-which requires less typing.  See examples/fonts_demo_kw.py
-"""
-from matplotlib.font_manager import FontProperties
-from pylab import *
-
-subplot(111, axisbg='w')
-
-font0 = FontProperties()
-alignment = {'horizontalalignment': 'center', 'verticalalignment': 'baseline'}
-# Show family options
-
-families = ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
-
-font1 = font0.copy()
-font1.set_size('large')
-
-t = text(-0.8, 0.9, 'family', fontproperties=font1,
-         **alignment)
-
-yp = [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2]
-
-for k, family in enumerate(families):
-    font = font0.copy()
-    font.set_family(family)
-    t = text(-0.8, yp[k], family, fontproperties=font,
-             **alignment)
-
-# Show style options
-
-styles = ['normal', 'italic', 'oblique']
-
-t = text(-0.4, 0.9, 'style', fontproperties=font1,
-         **alignment)
-
-for k, style in enumerate(styles):
-    font = font0.copy()
-    font.set_family('sans-serif')
-    font.set_style(style)
-    t = text(-0.4, yp[k], style, fontproperties=font,
-             **alignment)
-
-# Show variant options
-
-variants = ['normal', 'small-caps']
-
-t = text(0.0, 0.9, 'variant', fontproperties=font1,
-         **alignment)
-
-for k, variant in enumerate(variants):
-    font = font0.copy()
-    font.set_family('serif')
-    font.set_variant(variant)
-    t = text(0.0, yp[k], variant, fontproperties=font,
-             **alignment)
-
-# Show weight options
-
-weights = ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
-
-t = text(0.4, 0.9, 'weight', fontproperties=font1,
-         **alignment)
-
-for k, weight in enumerate(weights):
-    font = font0.copy()
-    font.set_weight(weight)
-    t = text(0.4, yp[k], weight, fontproperties=font,
-             **alignment)
-
-# Show size options
-
-sizes = ['xx-small', 'x-small', 'small', 'medium', 'large',
-         'x-large', 'xx-large']
-
-t = text(0.8, 0.9, 'size', fontproperties=font1,
-         **alignment)
-
-for k, size in enumerate(sizes):
-    font = font0.copy()
-    font.set_size(size)
-    t = text(0.8, yp[k], size, fontproperties=font,
-             **alignment)
-
-# Show bold italic
-
-font = font0.copy()
-font.set_style('italic')
-font.set_weight('bold')
-font.set_size('x-small')
-t = text(-0.4, 0.1, 'bold italic', fontproperties=font,
-         **alignment)
-
-font = font0.copy()
-font.set_style('italic')
-font.set_weight('bold')
-font.set_size('medium')
-t = text(-0.4, 0.2, 'bold italic', fontproperties=font,
-         **alignment)
-
-font = font0.copy()
-font.set_style('italic')
-font.set_weight('bold')
-font.set_size('x-large')
-t = text(-0.4, 0.3, 'bold italic', fontproperties=font,
-         **alignment)
-
-axis([-1, 1, 0, 1])
-
-show()
diff --git a/examples/pylab_examples/fonts_demo_kw.py b/examples/pylab_examples/fonts_demo_kw.py
deleted file mode 100644
index 08c49abc85cf..000000000000
--- a/examples/pylab_examples/fonts_demo_kw.py
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/usr/bin/env python
-"""
-Same as fonts_demo using kwargs.  If you prefer a more pythonic, OO
-style of coding, see examples/fonts_demo.py.
-
-"""
-from matplotlib.font_manager import FontProperties
-from pylab import *
-
-subplot(111, axisbg='w')
-alignment = {'horizontalalignment': 'center', 'verticalalignment': 'baseline'}
-
-# Show family options
-
-families = ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
-
-t = text(-0.8, 0.9, 'family', size='large', **alignment)
-
-yp = [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2]
-
-for k, family in enumerate(families):
-    t = text(-0.8, yp[k], family, family=family, **alignment)
-
-# Show style options
-
-styles = ['normal', 'italic', 'oblique']
-
-t = text(-0.4, 0.9, 'style', **alignment)
-
-for k, style in enumerate(styles):
-    t = text(-0.4, yp[k], style, family='sans-serif', style=style,
-             **alignment)
-
-# Show variant options
-
-variants = ['normal', 'small-caps']
-
-t = text(0.0, 0.9, 'variant', **alignment)
-
-for k, variant in enumerate(variants):
-    t = text(0.0, yp[k], variant, family='serif', variant=variant,
-             **alignment)
-
-# Show weight options
-
-weights = ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
-
-t = text(0.4, 0.9, 'weight', **alignment)
-
-for k, weight in enumerate(weights):
-    t = text(0.4, yp[k], weight, weight=weight,
-             **alignment)
-
-# Show size options
-
-sizes = ['xx-small', 'x-small', 'small', 'medium', 'large',
-         'x-large', 'xx-large']
-
-t = text(0.8, 0.9, 'size', **alignment)
-
-for k, size in enumerate(sizes):
-    t = text(0.8, yp[k], size, size=size,
-             **alignment)
-
-x = -0.4
-# Show bold italic
-t = text(x, 0.1, 'bold italic', style='italic',
-         weight='bold', size='x-small',
-         **alignment)
-
-t = text(x, 0.2, 'bold italic',
-         style='italic', weight='bold', size='medium',
-         **alignment)
-
-t = text(x, 0.3, 'bold italic',
-         style='italic', weight='bold', size='x-large',
-         **alignment)
-
-axis([-1, 1, 0, 1])
-
-show()
diff --git a/examples/pylab_examples/ganged_plots.py b/examples/pylab_examples/ganged_plots.py
deleted file mode 100644
index 22e9fec49e2d..000000000000
--- a/examples/pylab_examples/ganged_plots.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/env python
-"""
-To create plots that share a common axes (visually) you can set the
-hspace between the subplots close to zero (do not use zero itself).
-Normally you'll want to turn off the tick labels on all but one of the
-axes.
-
-In this example the plots share a common xaxis but you can follow the
-same logic to supply a common y axis.
-"""
-from pylab import *
-
-t = arange(0.0, 2.0, 0.01)
-
-s1 = sin(2*pi*t)
-s2 = exp(-t)
-s3 = s1*s2
-
-# axes rect in relative 0,1 coords left, bottom, width, height.  Turn
-# off xtick labels on all but the lower plot
-
-
-f = figure()
-subplots_adjust(hspace=0.001)
-
-
-ax1 = subplot(311)
-ax1.plot(t, s1)
-yticks(arange(-0.9, 1.0, 0.4))
-ylim(-1, 1)
-
-ax2 = subplot(312, sharex=ax1)
-ax2.plot(t, s2)
-yticks(arange(0.1, 1.0, 0.2))
-ylim(0, 1)
-
-ax3 = subplot(313, sharex=ax1)
-ax3.plot(t, s3)
-yticks(arange(-0.9, 1.0, 0.4))
-ylim(-1, 1)
-
-xticklabels = ax1.get_xticklabels() + ax2.get_xticklabels()
-setp(xticklabels, visible=False)
-
-show()
diff --git a/examples/pylab_examples/geo_demo.py b/examples/pylab_examples/geo_demo.py
deleted file mode 100644
index d38b0e9cbff9..000000000000
--- a/examples/pylab_examples/geo_demo.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import numpy as np
-#np.seterr("raise")
-
-from pylab import *
-
-subplot(221, projection="aitoff")
-title("Aitoff")
-grid(True)
-
-subplot(222, projection="hammer")
-title("Hammer")
-grid(True)
-
-subplot(223, projection="lambert")
-title("Lambert")
-grid(True)
-
-subplot(224, projection="mollweide")
-title("Mollweide")
-grid(True)
-
-show()
diff --git a/examples/pylab_examples/ginput_demo.py b/examples/pylab_examples/ginput_demo.py
deleted file mode 100644
index 4ef3c617a1dc..000000000000
--- a/examples/pylab_examples/ginput_demo.py
+++ /dev/null
@@ -1,11 +0,0 @@
-# -*- noplot -*-
-
-from __future__ import print_function
-
-from pylab import arange, plot, sin, ginput, show
-t = arange(10)
-plot(t, sin(t))
-print("Please click")
-x = ginput(3)
-print("clicked", x)
-show()
diff --git a/examples/pylab_examples/ginput_manual_clabel.py b/examples/pylab_examples/ginput_manual_clabel.py
deleted file mode 100755
index ff7d2b2b0e89..000000000000
--- a/examples/pylab_examples/ginput_manual_clabel.py
+++ /dev/null
@@ -1,100 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-from __future__ import print_function
-"""
-This provides examples of uses of interactive functions, such as ginput,
-waitforbuttonpress and manual clabel placement.
-
-This script must be run interactively using a backend that has a
-graphical user interface (for example, using GTKAgg backend, but not
-PS backend).
-
-See also ginput_demo.py
-"""
-import time
-import matplotlib
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-
-
-def tellme(s):
-    print(s)
-    plt.title(s, fontsize=16)
-    plt.draw()
-
-##################################################
-# Define a triangle by clicking three points
-##################################################
-plt.clf()
-plt.axis([-1., 1., -1., 1.])
-plt.setp(plt.gca(), autoscale_on=False)
-
-tellme('You will define a triangle, click to begin')
-
-plt.waitforbuttonpress()
-
-happy = False
-while not happy:
-    pts = []
-    while len(pts) < 3:
-        tellme('Select 3 corners with mouse')
-        pts = np.asarray(plt.ginput(3, timeout=-1))
-        if len(pts) < 3:
-            tellme('Too few points, starting over')
-            time.sleep(1)  # Wait a second
-
-    ph = plt.fill(pts[:, 0], pts[:, 1], 'r', lw=2)
-
-    tellme('Happy? Key click for yes, mouse click for no')
-
-    happy = plt.waitforbuttonpress()
-
-    # Get rid of fill
-    if not happy:
-        for p in ph:
-            p.remove()
-
-##################################################
-# Now contour according to distance from triangle
-# corners - just an example
-##################################################
-
-
-# Define a nice function of distance from individual pts
-def f(x, y, pts):
-    z = np.zeros_like(x)
-    for p in pts:
-        z = z + 1/(np.sqrt((x - p[0])**2 + (y - p[1])**2))
-    return 1/z
-
-X, Y = np.meshgrid(np.linspace(-1, 1, 51), np.linspace(-1, 1, 51))
-Z = f(X, Y, pts)
-
-CS = plt.contour(X, Y, Z, 20)
-
-tellme('Use mouse to select contour label locations, middle button to finish')
-CL = plt.clabel(CS, manual=True)
-
-##################################################
-# Now do a zoom
-##################################################
-tellme('Now do a nested zoom, click to begin')
-plt.waitforbuttonpress()
-
-happy = False
-while not happy:
-    tellme('Select two corners of zoom, middle mouse button to finish')
-    pts = np.asarray(plt.ginput(2, timeout=-1))
-
-    happy = len(pts) < 2
-    if happy:
-        break
-
-    pts = np.sort(pts, axis=0)
-    plt.axis(pts.T.ravel())
-
-tellme('All Done!')
-plt.show()
diff --git a/examples/pylab_examples/gradient_bar.py b/examples/pylab_examples/gradient_bar.py
deleted file mode 100644
index 714f45f5ac96..000000000000
--- a/examples/pylab_examples/gradient_bar.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from matplotlib.pyplot import figure, show, cm
-from numpy import arange
-from numpy.random import rand
-
-
-def gbar(ax, x, y, width=0.5, bottom=0):
-    X = [[.6, .6], [.7, .7]]
-    for left, top in zip(x, y):
-        right = left + width
-        ax.imshow(X, interpolation='bicubic', cmap=cm.Blues,
-                  extent=(left, right, bottom, top), alpha=1)
-
-fig = figure()
-
-xmin, xmax = xlim = 0, 10
-ymin, ymax = ylim = 0, 1
-ax = fig.add_subplot(111, xlim=xlim, ylim=ylim,
-                     autoscale_on=False)
-X = [[.6, .6], [.7, .7]]
-
-ax.imshow(X, interpolation='bicubic', cmap=cm.copper,
-          extent=(xmin, xmax, ymin, ymax), alpha=1)
-
-N = 10
-x = arange(N) + 0.25
-y = rand(N)
-gbar(ax, x, y, width=0.7)
-ax.set_aspect('auto')
-show()
diff --git a/examples/pylab_examples/griddata_demo.py b/examples/pylab_examples/griddata_demo.py
deleted file mode 100644
index af04748567db..000000000000
--- a/examples/pylab_examples/griddata_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from numpy.random import uniform, seed
-from matplotlib.mlab import griddata
-import matplotlib.pyplot as plt
-import numpy as np
-# make up data.
-#npts = int(raw_input('enter # of random points to plot:'))
-seed(0)
-npts = 200
-x = uniform(-2, 2, npts)
-y = uniform(-2, 2, npts)
-z = x*np.exp(-x**2 - y**2)
-# define grid.
-xi = np.linspace(-2.1, 2.1, 100)
-yi = np.linspace(-2.1, 2.1, 200)
-# grid the data.
-zi = griddata(x, y, z, xi, yi, interp='linear')
-# contour the gridded data, plotting dots at the nonuniform data points.
-CS = plt.contour(xi, yi, zi, 15, linewidths=0.5, colors='k')
-CS = plt.contourf(xi, yi, zi, 15, cmap=plt.cm.rainbow,
-                  vmax=abs(zi).max(), vmin=-abs(zi).max())
-plt.colorbar()  # draw colorbar
-# plot data points.
-plt.scatter(x, y, marker='o', c='b', s=5, zorder=10)
-plt.xlim(-2, 2)
-plt.ylim(-2, 2)
-plt.title('griddata test (%d points)' % npts)
-plt.show()
diff --git a/examples/pylab_examples/hatch_demo.py b/examples/pylab_examples/hatch_demo.py
deleted file mode 100644
index 0488e3fb2000..000000000000
--- a/examples/pylab_examples/hatch_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""
-Hatching (pattern filled polygons) is supported currently in the PS,
-PDF, SVG and Agg backends only.
-"""
-import matplotlib.pyplot as plt
-from matplotlib.patches import Ellipse, Polygon
-
-fig = plt.figure()
-ax1 = fig.add_subplot(131)
-ax1.bar(range(1, 5), range(1, 5), color='red', edgecolor='black', hatch="/")
-ax1.bar(range(1, 5), [6] * 4, bottom=range(1, 5), color='blue', edgecolor='black', hatch='//')
-ax1.set_xticks([1.5, 2.5, 3.5, 4.5])
-
-ax2 = fig.add_subplot(132)
-bars = ax2.bar(range(1, 5), range(1, 5), color='yellow', ecolor='black') + \
-    ax2.bar(range(1, 5), [6] * 4, bottom=range(1, 5), color='green', ecolor='black')
-ax2.set_xticks([1.5, 2.5, 3.5, 4.5])
-
-patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.')
-for bar, pattern in zip(bars, patterns):
-    bar.set_hatch(pattern)
-
-ax3 = fig.add_subplot(133)
-ax3.fill([1, 3, 3, 1], [1, 1, 2, 2], fill=False, hatch='\\')
-ax3.add_patch(Ellipse((4, 1.5), 4, 0.5, fill=False, hatch='*'))
-ax3.add_patch(Polygon([[0, 0], [4, 1.1], [6, 2.5], [2, 1.4]], closed=True,
-                      fill=False, hatch='/'))
-ax3.set_xlim((0, 6))
-ax3.set_ylim((0, 2.5))
-
-plt.show()
diff --git a/examples/pylab_examples/hexbin_demo.py b/examples/pylab_examples/hexbin_demo.py
deleted file mode 100644
index 573e22010241..000000000000
--- a/examples/pylab_examples/hexbin_demo.py
+++ /dev/null
@@ -1,35 +0,0 @@
-"""
-hexbin is an axes method or pyplot function that is essentially
-a pcolor of a 2-D histogram with hexagonal cells.  It can be
-much more informative than a scatter plot; in the first subplot
-below, try substituting 'scatter' for 'hexbin'.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-np.random.seed(0)
-n = 100000
-x = np.random.standard_normal(n)
-y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
-xmin = x.min()
-xmax = x.max()
-ymin = y.min()
-ymax = y.max()
-
-plt.subplots_adjust(hspace=0.5)
-plt.subplot(121)
-plt.hexbin(x, y, cmap=plt.cm.YlOrRd_r)
-plt.axis([xmin, xmax, ymin, ymax])
-plt.title("Hexagon binning")
-cb = plt.colorbar()
-cb.set_label('counts')
-
-plt.subplot(122)
-plt.hexbin(x, y, bins='log', cmap=plt.cm.YlOrRd_r)
-plt.axis([xmin, xmax, ymin, ymax])
-plt.title("With a log color scale")
-cb = plt.colorbar()
-cb.set_label('log10(N)')
-
-plt.show()
diff --git a/examples/pylab_examples/hexbin_demo2.py b/examples/pylab_examples/hexbin_demo2.py
deleted file mode 100644
index 7bcdf97549e5..000000000000
--- a/examples/pylab_examples/hexbin_demo2.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""
-hexbin is an axes method or pyplot function that is essentially a
-pcolor of a 2-D histogram with hexagonal cells.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.mlab as mlab
-
-delta = 0.025
-x = y = np.arange(-3.0, 3.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = Z2 - Z1  # difference of Gaussians
-
-x = X.ravel()
-y = Y.ravel()
-z = Z.ravel()
-
-if 1:
-    # make some points 20 times more common than others, but same mean
-    xcond = (-1 < x) & (x < 1)
-    ycond = (-2 < y) & (y < 0)
-    cond = xcond & ycond
-    xnew = x[cond]
-    ynew = y[cond]
-    znew = z[cond]
-    for i in range(20):
-        x = np.hstack((x, xnew))
-        y = np.hstack((y, ynew))
-        z = np.hstack((z, znew))
-
-xmin = x.min()
-xmax = x.max()
-ymin = y.min()
-ymax = y.max()
-
-gridsize = 30
-
-plt.subplot(211)
-plt.hexbin(x, y, C=z, gridsize=gridsize, marginals=True, cmap=plt.cm.RdBu,
-           vmax=abs(z).max(), vmin=-abs(z).max())
-plt.axis([xmin, xmax, ymin, ymax])
-cb = plt.colorbar()
-cb.set_label('mean value')
-
-
-plt.subplot(212)
-plt.hexbin(x, y, gridsize=gridsize, cmap=plt.cm.Blues_r)
-plt.axis([xmin, xmax, ymin, ymax])
-cb = plt.colorbar()
-cb.set_label('N observations')
-
-plt.show()
diff --git a/examples/pylab_examples/hist2d_demo.py b/examples/pylab_examples/hist2d_demo.py
deleted file mode 100644
index 85ef27ad1d2b..000000000000
--- a/examples/pylab_examples/hist2d_demo.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from pylab import *
-x = randn(1000)
-y = randn(1000) + 5
-
-# normal distribution center at x=0 and y=5
-hist2d(x, y, bins=40)
-show()
diff --git a/examples/pylab_examples/hist2d_log_demo.py b/examples/pylab_examples/hist2d_log_demo.py
deleted file mode 100644
index dada02280ab1..000000000000
--- a/examples/pylab_examples/hist2d_log_demo.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from matplotlib.colors import LogNorm
-from pylab import *
-
-# normal distribution center at x=0 and y=5
-x = randn(100000)
-y = randn(100000) + 5
-
-hist2d(x, y, bins=40, norm=LogNorm())
-colorbar()
-show()
diff --git a/examples/pylab_examples/hist_colormapped.py b/examples/pylab_examples/hist_colormapped.py
deleted file mode 100644
index e3aa1fb59b62..000000000000
--- a/examples/pylab_examples/hist_colormapped.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-import matplotlib.colors as colors
-
-fig, ax = plt.subplots()
-Ntotal = 1000
-N, bins, patches = ax.hist(np.random.rand(Ntotal), 20)
-
-# I'll color code by height, but you could use any scalar
-
-
-# we need to normalize the data to 0..1 for the full
-# range of the colormap
-fracs = N.astype(float)/N.max()
-norm = colors.Normalize(fracs.min(), fracs.max())
-
-for thisfrac, thispatch in zip(fracs, patches):
-    color = cm.jet(norm(thisfrac))
-    thispatch.set_facecolor(color)
-
-
-plt.show()
diff --git a/examples/pylab_examples/histogram_percent_demo.py b/examples/pylab_examples/histogram_percent_demo.py
deleted file mode 100644
index 9d7b5d34423f..000000000000
--- a/examples/pylab_examples/histogram_percent_demo.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import matplotlib
-from numpy.random import randn
-import matplotlib.pyplot as plt
-from matplotlib.ticker import FuncFormatter
-
-
-def to_percent(y, position):
-    # Ignore the passed in position. This has the effect of scaling the default
-    # tick locations.
-    s = str(100 * y)
-
-    # The percent symbol needs escaping in latex
-    if matplotlib.rcParams['text.usetex'] is True:
-        return s + r'$\%$'
-    else:
-        return s + '%'
-
-x = randn(5000)
-
-# Make a normed histogram. It'll be multiplied by 100 later.
-plt.hist(x, bins=50, normed=True)
-
-# Create the formatter using the function to_percent. This multiplies all the
-# default labels by 100, making them all percentages
-formatter = FuncFormatter(to_percent)
-
-# Set the formatter
-plt.gca().yaxis.set_major_formatter(formatter)
-
-plt.show()
diff --git a/examples/pylab_examples/hyperlinks.py b/examples/pylab_examples/hyperlinks.py
deleted file mode 100644
index e8f0b674052b..000000000000
--- a/examples/pylab_examples/hyperlinks.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-"""
-This example demonstrates how to set a hyperlinks on various kinds of elements.
-
-This currently only works with the SVG backend.
-"""
-
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-
-f = plt.figure()
-s = plt.scatter([1, 2, 3], [4, 5, 6])
-s.set_urls(['http://www.bbc.co.uk/news', 'http://www.google.com', None])
-f.canvas.print_figure('scatter.svg')
-
-f = plt.figure()
-delta = 0.025
-x = y = np.arange(-3.0, 3.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = Z2 - Z1  # difference of Gaussians
-
-im = plt.imshow(Z, interpolation='bilinear', cmap=cm.gray,
-                origin='lower', extent=[-3, 3, -3, 3])
-
-im.set_url('http://www.google.com')
-f.canvas.print_figure('image.svg')
diff --git a/examples/pylab_examples/image_clip_path.py b/examples/pylab_examples/image_clip_path.py
deleted file mode 100755
index db1478af968d..000000000000
--- a/examples/pylab_examples/image_clip_path.py
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env python
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-from matplotlib.path import Path
-from matplotlib.patches import PathPatch
-
-delta = 0.025
-x = y = np.arange(-3.0, 3.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = Z2 - Z1  # difference of Gaussians
-
-path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
-patch = PathPatch(path, facecolor='none')
-plt.gca().add_patch(patch)
-
-im = plt.imshow(Z, interpolation='bilinear', cmap=cm.gray,
-                origin='lower', extent=[-3, 3, -3, 3],
-                clip_path=patch, clip_on=True)
-im.set_clip_path(patch)
-
-plt.show()
diff --git a/examples/pylab_examples/image_demo.py b/examples/pylab_examples/image_demo.py
deleted file mode 100644
index 792a9a8f8373..000000000000
--- a/examples/pylab_examples/image_demo.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/usr/bin/env python
-import numpy as np
-import matplotlib.cm as cm
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-
-delta = 0.025
-x = y = np.arange(-3.0, 3.0, delta)
-X, Y = np.meshgrid(x, y)
-Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = Z2 - Z1  # difference of Gaussians
-
-im = plt.imshow(Z, interpolation='bilinear', cmap=cm.RdYlGn,
-                origin='lower', extent=[-3, 3, -3, 3],
-                vmax=abs(Z).max(), vmin=-abs(Z).max())
-
-plt.show()
diff --git a/examples/pylab_examples/image_demo2.py b/examples/pylab_examples/image_demo2.py
deleted file mode 100755
index 1dd6710799cc..000000000000
--- a/examples/pylab_examples/image_demo2.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-from pylab import *
-import matplotlib.cbook as cbook
-
-w, h = 512, 512
-
-datafile = cbook.get_sample_data('ct.raw.gz', asfileobj=True)
-s = datafile.read()
-A = fromstring(s, uint16).astype(float)
-A *= 1.0/max(A)
-A.shape = w, h
-
-extent = (0, 25, 0, 25)
-im = imshow(A, cmap=cm.hot, origin='upper', extent=extent)
-
-markers = [(15.9, 14.5), (16.8, 15)]
-x, y = zip(*markers)
-plot(x, y, 'o')
-#axis([0,25,0,25])
-
-
-#axis('off')
-title('CT density')
-
-if 0:
-    x = asum(A, 0)
-    subplot(212)
-    bar(arange(w), x)
-    xlim(0, h - 1)
-    ylabel('density')
-    setp(gca(), 'xticklabels', [])
-
-show()
diff --git a/examples/pylab_examples/image_interp.py b/examples/pylab_examples/image_interp.py
deleted file mode 100644
index 9dde4a668db2..000000000000
--- a/examples/pylab_examples/image_interp.py
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python
-"""
-The same (small) array, interpolated with three different
-interpolation methods.
-
-The center of the pixel at A[i,j] is plotted at i+0.5, i+0.5.  If you
-are using interpolation='nearest', the region bounded by (i,j) and
-(i+1,j+1) will have the same color.  If you are using interpolation,
-the pixel center will have the same color as it does with nearest, but
-other pixels will be interpolated between the neighboring pixels.
-
-Earlier versions of matplotlib (<0.63) tried to hide the edge effects
-from you by setting the view limits so that they would not be visible.
-A recent bugfix in antigrain, and a new implementation in the
-matplotlib._image module which takes advantage of this fix, no longer
-makes this necessary.  To prevent edge effects, when doing
-interpolation, the matplotlib._image module now pads the input array
-with identical pixels around the edge.  e.g., if you have a 5x5 array
-with colors a-y as below
-
-
-  a b c d e
-  f g h i j
-  k l m n o
-  p q r s t
-  u v w x y
-
-the _image module creates the padded array,
-
-  a a b c d e e
-  a a b c d e e
-  f f g h i j j
-  k k l m n o o
-  p p q r s t t
-  o u v w x y y
-  o u v w x y y
-
-does the interpolation/resizing, and then extracts the central region.
-This allows you to plot the full range of your array w/o edge effects,
-and for example to layer multiple images of different sizes over one
-another with different interpolation methods - see
-examples/layer_images.py.  It also implies a performance hit, as this
-new temporary, padded array must be created.  Sophisticated
-interpolation also implies a performance hit, so if you need maximal
-performance or have very large images, interpolation='nearest' is
-suggested.
-
-"""
-from pylab import *
-A = rand(5, 5)
-figure(1)
-imshow(A, interpolation='nearest')
-grid(True)
-
-figure(2)
-imshow(A, interpolation='bilinear')
-grid(True)
-
-figure(3)
-imshow(A, interpolation='bicubic')
-grid(True)
-
-show()
diff --git a/examples/pylab_examples/image_masked.py b/examples/pylab_examples/image_masked.py
deleted file mode 100644
index 5bee884cc044..000000000000
--- a/examples/pylab_examples/image_masked.py
+++ /dev/null
@@ -1,54 +0,0 @@
-#!/usr/bin/env python
-'''imshow with masked array input and out-of-range colors.
-
-    The second subplot illustrates the use of BoundaryNorm to
-    get a filled contour effect.
-'''
-
-from pylab import *
-from numpy import ma
-import matplotlib.colors as colors
-
-delta = 0.025
-x = y = arange(-3.0, 3.0, delta)
-X, Y = meshgrid(x, y)
-Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
-Z = 10*(Z2 - Z1)  # difference of Gaussians
-
-# Set up a colormap:
-palette = cm.gray
-palette.set_over('r', 1.0)
-palette.set_under('g', 1.0)
-palette.set_bad('b', 1.0)
-# Alternatively, we could use
-# palette.set_bad(alpha = 0.0)
-# to make the bad region transparent.  This is the default.
-# If you comment out all the palette.set* lines, you will see
-# all the defaults; under and over will be colored with the
-# first and last colors in the palette, respectively.
-Zm = ma.masked_where(Z > 1.2, Z)
-
-# By setting vmin and vmax in the norm, we establish the
-# range to which the regular palette color scale is applied.
-# Anything above that range is colored based on palette.set_over, etc.
-
-subplot(1, 2, 1)
-im = imshow(Zm, interpolation='bilinear',
-            cmap=palette,
-            norm=colors.Normalize(vmin=-1.0, vmax=1.0, clip=False),
-            origin='lower', extent=[-3, 3, -3, 3])
-title('Green=low, Red=high, Blue=bad')
-colorbar(im, extend='both', orientation='horizontal', shrink=0.8)
-
-subplot(1, 2, 2)
-im = imshow(Zm, interpolation='nearest',
-            cmap=palette,
-            norm=colors.BoundaryNorm([-1, -0.5, -0.2, 0, 0.2, 0.5, 1],
-                                     ncolors=256, clip=False),
-            origin='lower', extent=[-3, 3, -3, 3])
-title('With BoundaryNorm')
-colorbar(im, extend='both', spacing='proportional',
-         orientation='horizontal', shrink=0.8)
-
-show()
diff --git a/examples/pylab_examples/image_nonuniform.py b/examples/pylab_examples/image_nonuniform.py
deleted file mode 100644
index b073593c9403..000000000000
--- a/examples/pylab_examples/image_nonuniform.py
+++ /dev/null
@@ -1,60 +0,0 @@
-'''
-This illustrates the NonUniformImage class, which still needs
-an axes method interface; either a separate interface, or a
-generalization of imshow.
-'''
-
-from matplotlib.pyplot import figure, show
-import numpy as np
-from matplotlib.image import NonUniformImage
-from matplotlib import cm
-
-interp = 'nearest'
-
-x = np.linspace(-4, 4, 9)
-x2 = x**3
-y = np.linspace(-4, 4, 9)
-#print('Size %d points' % (len(x) * len(y)))
-z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)
-
-fig = figure()
-fig.suptitle('NonUniformImage class')
-ax = fig.add_subplot(221)
-im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
-                     cmap=cm.Purples)
-im.set_data(x, y, z)
-ax.images.append(im)
-ax.set_xlim(-4, 4)
-ax.set_ylim(-4, 4)
-ax.set_title(interp)
-
-ax = fig.add_subplot(222)
-im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
-                     cmap=cm.Purples)
-im.set_data(x2, y, z)
-ax.images.append(im)
-ax.set_xlim(-64, 64)
-ax.set_ylim(-4, 4)
-ax.set_title(interp)
-
-interp = 'bilinear'
-
-ax = fig.add_subplot(223)
-im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
-                     cmap=cm.Purples)
-im.set_data(x, y, z)
-ax.images.append(im)
-ax.set_xlim(-4, 4)
-ax.set_ylim(-4, 4)
-ax.set_title(interp)
-
-ax = fig.add_subplot(224)
-im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
-                     cmap=cm.Purples)
-im.set_data(x2, y, z)
-ax.images.append(im)
-ax.set_xlim(-64, 64)
-ax.set_ylim(-4, 4)
-ax.set_title(interp)
-
-show()
diff --git a/examples/pylab_examples/image_origin.py b/examples/pylab_examples/image_origin.py
deleted file mode 100755
index 9084a93720b1..000000000000
--- a/examples/pylab_examples/image_origin.py
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env python
-"""
-You can specify whether images should be plotted with the array origin
-x[0,0] in the upper left or upper right by using the origin parameter.
-You can also control the default be setting image.origin in your
-matplotlibrc file; see http://matplotlib.org/matplotlibrc
-"""
-from pylab import *
-
-x = arange(100.0)
-x.shape = (10, 10)
-
-interp = 'bilinear'
-#interp = 'nearest'
-lim = -2, 11, -2, 6
-subplot(211, axisbg='g')
-title('blue should be up')
-imshow(x, origin='upper', interpolation=interp)
-#axis(lim)
-
-subplot(212, axisbg='y')
-title('blue should be down')
-imshow(x, origin='lower', interpolation=interp)
-#axis(lim)
-show()
diff --git a/examples/pylab_examples/image_slices_viewer.py b/examples/pylab_examples/image_slices_viewer.py
deleted file mode 100644
index cf90e18e100e..000000000000
--- a/examples/pylab_examples/image_slices_viewer.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from __future__ import print_function
-import numpy
-from matplotlib.pyplot import figure, show
-
-
-class IndexTracker(object):
-    def __init__(self, ax, X):
-        self.ax = ax
-        ax.set_title('use scroll wheel to navigate images')
-
-        self.X = X
-        rows, cols, self.slices = X.shape
-        self.ind = self.slices/2
-
-        self.im = ax.imshow(self.X[:, :, self.ind])
-        self.update()
-
-    def onscroll(self, event):
-        print("%s %s" % (event.button, event.step))
-        if event.button == 'up':
-            self.ind = numpy.clip(self.ind + 1, 0, self.slices - 1)
-        else:
-            self.ind = numpy.clip(self.ind - 1, 0, self.slices - 1)
-
-        self.update()
-
-    def update(self):
-        self.im.set_data(self.X[:, :, self.ind])
-        ax.set_ylabel('slice %s' % self.ind)
-        self.im.axes.figure.canvas.draw()
-
-
-fig = figure()
-ax = fig.add_subplot(111)
-
-X = numpy.random.rand(20, 20, 40)
-
-tracker = IndexTracker(ax, X)
-
-
-fig.canvas.mpl_connect('scroll_event', tracker.onscroll)
-show()
diff --git a/examples/pylab_examples/interp_demo.py b/examples/pylab_examples/interp_demo.py
deleted file mode 100644
index 978afa4cc5bd..000000000000
--- a/examples/pylab_examples/interp_demo.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import matplotlib.pyplot as plt
-from numpy import pi, sin, linspace
-from matplotlib.mlab import stineman_interp
-
-x = linspace(0, 2*pi, 20)
-y = sin(x)
-yp = None
-xi = linspace(x[0], x[-1], 100)
-yi = stineman_interp(xi, x, y, yp)
-
-fig, ax = plt.subplots()
-ax.plot(x, y, 'ro', xi, yi, '-b.')
-plt.show()
diff --git a/examples/pylab_examples/invert_axes.py b/examples/pylab_examples/invert_axes.py
deleted file mode 100644
index a91c38cdb697..000000000000
--- a/examples/pylab_examples/invert_axes.py
+++ /dev/null
@@ -1,21 +0,0 @@
-#!/usr/bin/env python
-"""
-
-You can use decreasing axes by flipping the normal order of the axis
-limits
-
-"""
-from pylab import *
-
-t = arange(0.01, 5.0, 0.01)
-s = exp(-t)
-plot(t, s)
-
-xlim(5, 0)  # decreasing time
-
-xlabel('decreasing time (s)')
-ylabel('voltage (mV)')
-title('Should be growing...')
-grid(True)
-
-show()
diff --git a/examples/pylab_examples/layer_images.py b/examples/pylab_examples/layer_images.py
deleted file mode 100644
index 8894f3d31d2d..000000000000
--- a/examples/pylab_examples/layer_images.py
+++ /dev/null
@@ -1,43 +0,0 @@
-#!/usr/bin/env python
-"""
-Layer images above one another using alpha blending
-"""
-from __future__ import division
-from pylab import *
-
-
-def func3(x, y):
-    return (1 - x/2 + x**5 + y**3)*exp(-(x**2 + y**2))
-
-# make these smaller to increase the resolution
-dx, dy = 0.05, 0.05
-
-x = arange(-3.0, 3.0, dx)
-y = arange(-3.0, 3.0, dy)
-X, Y = meshgrid(x, y)
-
-# when layering multiple images, the images need to have the same
-# extent.  This does not mean they need to have the same shape, but
-# they both need to render to the same coordinate system determined by
-# xmin, xmax, ymin, ymax.  Note if you use different interpolations
-# for the images their apparent extent could be different due to
-# interpolation edge effects
-
-
-xmin, xmax, ymin, ymax = amin(x), amax(x), amin(y), amax(y)
-extent = xmin, xmax, ymin, ymax
-fig = plt.figure(frameon=False)
-
-Z1 = array(([0, 1]*4 + [1, 0]*4)*4)
-Z1.shape = (8, 8)  # chessboard
-im1 = imshow(Z1, cmap=cm.gray, interpolation='nearest',
-             extent=extent)
-hold(True)
-
-Z2 = func3(X, Y)
-
-im2 = imshow(Z2, cmap=cm.jet, alpha=.9, interpolation='bilinear',
-             extent=extent)
-#axis([xmin, xmax, ymin, ymax])
-
-show()
diff --git a/examples/pylab_examples/legend_demo2.py b/examples/pylab_examples/legend_demo2.py
deleted file mode 100644
index 6b7675bad558..000000000000
--- a/examples/pylab_examples/legend_demo2.py
+++ /dev/null
@@ -1,20 +0,0 @@
-# Make a legend for specific lines.
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-t1 = np.arange(0.0, 2.0, 0.1)
-t2 = np.arange(0.0, 2.0, 0.01)
-
-# note that plot returns a list of lines.  The "l1, = plot" usage
-# extracts the first element of the list into l1 using tuple
-# unpacking.  So l1 is a Line2D instance, not a sequence of lines
-l1, = plt.plot(t2, np.exp(-t2))
-l2, l3 = plt.plot(t2, np.sin(2 * np.pi * t2), '--go', t1, np.log(1 + t1), '.')
-l4, = plt.plot(t2, np.exp(-t2) * np.sin(2 * np.pi * t2), 'rs-.')
-
-plt.legend((l2, l4), ('oscillatory', 'damped'), loc='upper right', shadow=True)
-plt.xlabel('time')
-plt.ylabel('volts')
-plt.title('Damped oscillation')
-plt.show()
diff --git a/examples/pylab_examples/legend_demo3.py b/examples/pylab_examples/legend_demo3.py
deleted file mode 100644
index 21b7be8c8056..000000000000
--- a/examples/pylab_examples/legend_demo3.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-x = np.linspace(0, 1)
-
-# Plot the lines y=x**n for n=1..4.
-ax = plt.subplot(2, 1, 1)
-for n in range(1, 5):
-    plt.plot(x, x**n, label="n={}".format(n))
-plt.legend(loc="upper left", bbox_to_anchor=[0, 1],
-           ncol=2, shadow=True, title="Legend", fancybox=True)
-ax.get_legend().get_title().set_color("red")
-
-# Demonstrate some more complex labels.
-ax = plt.subplot(2, 1, 2)
-plt.plot(x, x**2, label="multi\nline")
-half_pi = np.linspace(0, np.pi / 2)
-plt.plot(np.sin(half_pi), np.cos(half_pi), label=r"$\frac{1}{2}\pi$")
-plt.plot(x, 2**(x**2), label="$2^{x^2}$")
-plt.legend(shadow=True, fancybox=True)
-
-plt.show()
diff --git a/examples/pylab_examples/legend_demo4.py b/examples/pylab_examples/legend_demo4.py
deleted file mode 100644
index c9b3e3be976e..000000000000
--- a/examples/pylab_examples/legend_demo4.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import matplotlib.pyplot as plt
-
-fig, axes = plt.subplots(3, 1)
-top_ax, middle_ax, bottom_ax = axes
-
-top_ax.bar([0, 1, 2], [0.2, 0.3, 0.1], width=0.4, label="Bar 1",
-           align="center")
-top_ax.bar([0.5, 1.5, 2.5], [0.3, 0.2, 0.2], color="red", width=0.4,
-           label="Bar 2", align="center")
-top_ax.legend()
-
-middle_ax.errorbar([0, 1, 2], [2, 3, 1], xerr=0.4, fmt="s", label="test 1")
-middle_ax.errorbar([0, 1, 2], [3, 2, 4], yerr=0.3, fmt="o", label="test 2")
-middle_ax.errorbar([0, 1, 2], [1, 1, 3], xerr=0.4, yerr=0.3, fmt="^",
-                   label="test 3")
-middle_ax.legend()
-
-bottom_ax.stem([0.3, 1.5, 2.7], [1, 3.6, 2.7], label="stem test")
-bottom_ax.legend()
-
-plt.show()
diff --git a/examples/pylab_examples/line_collection.py b/examples/pylab_examples/line_collection.py
deleted file mode 100644
index 2e404559c25b..000000000000
--- a/examples/pylab_examples/line_collection.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.collections import LineCollection
-from matplotlib.colors import colorConverter
-
-import numpy as np
-
-# In order to efficiently plot many lines in a single set of axes,
-# Matplotlib has the ability to add the lines all at once. Here is a
-# simple example showing how it is done.
-
-x = np.arange(100)
-# Here are many sets of y to plot vs x
-ys = x[:50, np.newaxis] + x[np.newaxis, :]
-
-segs = np.zeros((50, 100, 2), float)
-segs[:, :, 1] = ys
-segs[:, :, 0] = x
-
-# Mask some values to test masked array support:
-segs = np.ma.masked_where((segs > 50) & (segs < 60), segs)
-
-# We need to set the plot limits.
-ax = plt.axes()
-ax.set_xlim(x.min(), x.max())
-ax.set_ylim(ys.min(), ys.max())
-
-# colors is sequence of rgba tuples
-# linestyle is a string or dash tuple. Legal string values are
-#          solid|dashed|dashdot|dotted.  The dash tuple is (offset, onoffseq)
-#          where onoffseq is an even length tuple of on and off ink in points.
-#          If linestyle is omitted, 'solid' is used
-# See matplotlib.collections.LineCollection for more information
-colors = [colorConverter.to_rgba(i) for i in 'bgrcmyk']
-
-line_segments = LineCollection(segs, linewidths=(0.5, 1, 1.5, 2),
-                               colors=colors, linestyle='solid')
-ax.add_collection(line_segments)
-ax.set_title('Line collection with masked arrays')
-plt.show()
diff --git a/examples/pylab_examples/line_collection2.py b/examples/pylab_examples/line_collection2.py
deleted file mode 100644
index dc9ad04cac0c..000000000000
--- a/examples/pylab_examples/line_collection2.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from pylab import *
-from matplotlib.collections import LineCollection
-
-# In order to efficiently plot many lines in a single set of axes,
-# Matplotlib has the ability to add the lines all at once. Here is a
-# simple example showing how it is done.
-
-N = 50
-x = arange(N)
-# Here are many sets of y to plot vs x
-ys = [x + i for i in x]
-
-# We need to set the plot limits, they will not autoscale
-ax = axes()
-ax.set_xlim((amin(x), amax(x)))
-ax.set_ylim((amin(amin(ys)), amax(amax(ys))))
-
-# colors is sequence of rgba tuples
-# linestyle is a string or dash tuple. Legal string values are
-#          solid|dashed|dashdot|dotted.  The dash tuple is (offset, onoffseq)
-#          where onoffseq is an even length tuple of on and off ink in points.
-#          If linestyle is omitted, 'solid' is used
-# See matplotlib.collections.LineCollection for more information
-line_segments = LineCollection([list(zip(x, y)) for y in ys],  # Make a sequence of x,y pairs
-                               linewidths=(0.5, 1, 1.5, 2),
-                               linestyles='solid')
-line_segments.set_array(x)
-ax.add_collection(line_segments)
-fig = gcf()
-axcb = fig.colorbar(line_segments)
-axcb.set_label('Line Number')
-ax.set_title('Line Collection with mapped colors')
-sci(line_segments)  # This allows interactive changing of the colormap.
-show()
diff --git a/examples/pylab_examples/load_converter.py b/examples/pylab_examples/load_converter.py
deleted file mode 100644
index de34e59bc683..000000000000
--- a/examples/pylab_examples/load_converter.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from __future__ import print_function
-from matplotlib.dates import strpdate2num
-#from matplotlib.mlab import load
-import numpy as np
-from pylab import figure, show
-import matplotlib.cbook as cbook
-
-datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
-print('loading', datafile)
-
-dates, closes = np.loadtxt(
-    datafile, delimiter=',',
-    converters={0: strpdate2num('%d-%b-%y')},
-    skiprows=1, usecols=(0, 2), unpack=True)
-
-fig = figure()
-ax = fig.add_subplot(111)
-ax.plot_date(dates, closes, '-')
-fig.autofmt_xdate()
-show()
diff --git a/examples/pylab_examples/loadrec.py b/examples/pylab_examples/loadrec.py
deleted file mode 100644
index 2f01662cefb2..000000000000
--- a/examples/pylab_examples/loadrec.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from __future__ import print_function
-from matplotlib import mlab
-from pylab import figure, show
-import matplotlib.cbook as cbook
-
-datafile = cbook.get_sample_data('msft.csv', asfileobj=False)
-print('loading', datafile)
-a = mlab.csv2rec(datafile)
-a.sort()
-print(a.dtype)
-
-fig = figure()
-ax = fig.add_subplot(111)
-ax.plot(a.date, a.adj_close, '-')
-fig.autofmt_xdate()
-
-# if you have xlwt installed, you can output excel
-try:
-    import mpl_toolkits.exceltools as exceltools
-    exceltools.rec2excel(a, 'test.xls')
-except ImportError:
-    pass
-show()
diff --git a/examples/pylab_examples/log_bar.py b/examples/pylab_examples/log_bar.py
deleted file mode 100644
index 741a2b2d784d..000000000000
--- a/examples/pylab_examples/log_bar.py
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/usr/bin/env python
-
-from matplotlib import pylab
-
-data = ((3, 1000), (10, 3), (100, 30), (500, 800), (50, 1))
-
-pylab.xlabel("FOO")
-pylab.ylabel("FOO")
-pylab.title("Testing")
-pylab.gca().set_yscale('log')
-
-dim = len(data[0])
-w = 0.75
-dimw = w / dim
-
-x = pylab.arange(len(data))
-for i in range(len(data[0])):
-    y = [d[i] for d in data]
-    b = pylab.bar(x + i * dimw, y, dimw, bottom=0.001)
-pylab.gca().set_xticks(x + w / 2)
-pylab.gca().set_ylim((0.001, 1000))
-
-pylab.show()
diff --git a/examples/pylab_examples/log_demo.py b/examples/pylab_examples/log_demo.py
deleted file mode 100644
index bf7372191fc1..000000000000
--- a/examples/pylab_examples/log_demo.py
+++ /dev/null
@@ -1,38 +0,0 @@
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-plt.subplots_adjust(hspace=0.4)
-t = np.arange(0.01, 20.0, 0.01)
-
-# log y axis
-plt.subplot(221)
-plt.semilogy(t, np.exp(-t/5.0))
-plt.title('semilogy')
-plt.grid(True)
-
-# log x axis
-plt.subplot(222)
-plt.semilogx(t, np.sin(2*np.pi*t))
-plt.title('semilogx')
-plt.grid(True)
-
-# log x and y axis
-plt.subplot(223)
-plt.loglog(t, 20*np.exp(-t/10.0), basex=2)
-plt.grid(True)
-plt.title('loglog base 4 on x')
-
-# with errorbars: clip non-positive values
-ax = plt.subplot(224)
-ax.set_xscale("log", nonposx='clip')
-ax.set_yscale("log", nonposy='clip')
-
-x = 10.0**np.linspace(0.0, 2.0, 20)
-y = x**2.0
-plt.errorbar(x, y, xerr=0.1*x, yerr=5.0 + 0.75*y)
-ax.set_ylim(ymin=0.1)
-ax.set_title('Errorbars go negative')
-
-
-plt.show()
diff --git a/examples/pylab_examples/log_test.py b/examples/pylab_examples/log_test.py
deleted file mode 100644
index 55d9cc753230..000000000000
--- a/examples/pylab_examples/log_test.py
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-dt = 0.01
-t = arange(dt, 20.0, dt)
-
-semilogx(t, exp(-t/5.0))
-grid(True)
-
-show()
diff --git a/examples/pylab_examples/logo.py b/examples/pylab_examples/logo.py
deleted file mode 100755
index 120043e53275..000000000000
--- a/examples/pylab_examples/logo.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/usr/bin/env python
-# This file generates the matplotlib web page logo
-
-from __future__ import print_function
-from pylab import *
-import matplotlib.cbook as cbook
-
-# convert data to mV
-datafile = cbook.get_sample_data('membrane.dat', asfileobj=False)
-print('loading', datafile)
-
-x = 1000*0.1*fromstring(file(datafile, 'rb').read(), float32)
-# 0.0005 is the sample interval
-t = 0.0005*arange(len(x))
-figure(1, figsize=(7, 1), dpi=100)
-ax = subplot(111, axisbg='y')
-plot(t, x)
-text(0.5, 0.5, 'matplotlib', color='r',
-     fontsize=40, fontname='Courier',
-     horizontalalignment='center',
-     verticalalignment='center',
-     transform=ax.transAxes,
-     )
-axis([1, 1.72, -60, 10])
-setp(gca(), 'xticklabels', [])
-setp(gca(), 'yticklabels', [])
-
-show()
diff --git a/examples/pylab_examples/major_minor_demo1.py b/examples/pylab_examples/major_minor_demo1.py
deleted file mode 100644
index 2285033d397b..000000000000
--- a/examples/pylab_examples/major_minor_demo1.py
+++ /dev/null
@@ -1,54 +0,0 @@
-#!/usr/bin/env python
-"""
-Demonstrate how to use major and minor tickers.
-
-The two relevant userland classes are Locators and Formatters.
-Locators determine where the ticks are and formatters control the
-formatting of ticks.
-
-Minor ticks are off by default (NullLocator and NullFormatter).  You
-can turn minor ticks on w/o labels by setting the minor locator.  You
-can also turn labeling on for the minor ticker by setting the minor
-formatter
-
-Make a plot with major ticks that are multiples of 20 and minor ticks
-that are multiples of 5.  Label major ticks with %d formatting but
-don't label minor ticks
-
-The MultipleLocator ticker class is used to place ticks on multiples of
-some base.  The FormatStrFormatter uses a string format string (e.g.,
-'%d' or '%1.2f' or '%1.1f cm' ) to format the tick
-
-The pylab interface grid command changes the grid settings of the
-major ticks of the y and y axis together.  If you want to control the
-grid of the minor ticks for a given axis, use for example
-
-  ax.xaxis.grid(True, which='minor')
-
-Note, you should not use the same locator between different Axis
-because the locator stores references to the Axis data and view limits
-
-"""
-
-import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.ticker import MultipleLocator, FormatStrFormatter
-
-majorLocator = MultipleLocator(20)
-majorFormatter = FormatStrFormatter('%d')
-minorLocator = MultipleLocator(5)
-
-
-t = np.arange(0.0, 100.0, 0.1)
-s = np.sin(0.1*np.pi*t)*np.exp(-t*0.01)
-
-fig, ax = plt.subplots()
-plt.plot(t, s)
-
-ax.xaxis.set_major_locator(majorLocator)
-ax.xaxis.set_major_formatter(majorFormatter)
-
-# for the minor ticks, use no labels; default NullFormatter
-ax.xaxis.set_minor_locator(minorLocator)
-
-plt.show()
diff --git a/examples/pylab_examples/major_minor_demo2.py b/examples/pylab_examples/major_minor_demo2.py
deleted file mode 100644
index 0189ae46270f..000000000000
--- a/examples/pylab_examples/major_minor_demo2.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-"""
-Automatic tick selection for major and minor ticks.
-
-Use interactive pan and zoom to see how the tick intervals
-change. There will be either 4 or 5 minor tick intervals
-per major interval, depending on the major interval.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.ticker import AutoMinorLocator
-
-# One can supply an argument to AutoMinorLocator to
-# specify a fixed number of minor intervals per major interval, e.g.:
-# minorLocator = AutoMinorLocator(2)
-# would lead to a single minor tick between major ticks.
-
-minorLocator = AutoMinorLocator()
-
-
-t = np.arange(0.0, 100.0, 0.01)
-s = np.sin(2*np.pi*t)*np.exp(-t*0.01)
-
-fig, ax = plt.subplots()
-plt.plot(t, s)
-
-ax.xaxis.set_minor_locator(minorLocator)
-
-plt.tick_params(which='both', width=2)
-plt.tick_params(which='major', length=7)
-plt.tick_params(which='minor', length=4, color='r')
-
-plt.show()
diff --git a/examples/pylab_examples/manual_axis.py b/examples/pylab_examples/manual_axis.py
deleted file mode 100644
index feaf4556a154..000000000000
--- a/examples/pylab_examples/manual_axis.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""
-The techniques here are no longer required with the new support for
-spines in matplotlib -- see
-http://matplotlib.org/examples/pylab_examples/spine_placement_demo.html.
-
-This example should be considered deprecated and is left just for demo
-purposes for folks wanting to make a pseudo-axis
-
-"""
-
-import numpy as np
-from pylab import figure, show
-import matplotlib.lines as lines
-
-
-def make_xaxis(ax, yloc, offset=0.05, **props):
-    xmin, xmax = ax.get_xlim()
-    locs = [loc for loc in ax.xaxis.get_majorticklocs()
-            if loc >= xmin and loc <= xmax]
-    tickline, = ax.plot(locs, [yloc]*len(locs), linestyle='',
-                        marker=lines.TICKDOWN, **props)
-    axline, = ax.plot([xmin, xmax], [yloc, yloc], **props)
-    tickline.set_clip_on(False)
-    axline.set_clip_on(False)
-    for loc in locs:
-        ax.text(loc, yloc - offset, '%1.1f' % loc,
-                horizontalalignment='center',
-                verticalalignment='top')
-
-
-def make_yaxis(ax, xloc=0, offset=0.05, **props):
-    ymin, ymax = ax.get_ylim()
-    locs = [loc for loc in ax.yaxis.get_majorticklocs()
-            if loc >= ymin and loc <= ymax]
-    tickline, = ax.plot([xloc]*len(locs), locs, linestyle='',
-                        marker=lines.TICKLEFT, **props)
-    axline, = ax.plot([xloc, xloc], [ymin, ymax], **props)
-    tickline.set_clip_on(False)
-    axline.set_clip_on(False)
-
-    for loc in locs:
-        ax.text(xloc - offset, loc, '%1.1f' % loc,
-                verticalalignment='center',
-                horizontalalignment='right')
-
-
-props = dict(color='black', linewidth=2, markeredgewidth=2)
-x = np.arange(200.)
-y = np.sin(2*np.pi*x/200.) + np.random.rand(200) - 0.5
-fig = figure(facecolor='white')
-ax = fig.add_subplot(111, frame_on=False)
-ax.axison = False
-ax.plot(x, y, 'd', markersize=8, markerfacecolor='blue')
-ax.set_xlim(0, 200)
-ax.set_ylim(-1.5, 1.5)
-make_xaxis(ax, 0, offset=0.1, **props)
-make_yaxis(ax, 0, offset=5, **props)
-
-show()
diff --git a/examples/pylab_examples/marker_path.py b/examples/pylab_examples/marker_path.py
deleted file mode 100644
index ac18d1335133..000000000000
--- a/examples/pylab_examples/marker_path.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.path as mpath
-import numpy as np
-
-
-star = mpath.Path.unit_regular_star(6)
-circle = mpath.Path.unit_circle()
-# concatenate the circle with an internal cutout of the star
-verts = np.concatenate([circle.vertices, star.vertices[::-1, ...]])
-codes = np.concatenate([circle.codes, star.codes])
-cut_star = mpath.Path(verts, codes)
-
-
-plt.plot(np.arange(10)**2, '--r', marker=cut_star, markersize=15)
-
-plt.show()
diff --git a/examples/pylab_examples/markevery_demo.py b/examples/pylab_examples/markevery_demo.py
deleted file mode 100644
index 6b6495fac028..000000000000
--- a/examples/pylab_examples/markevery_demo.py
+++ /dev/null
@@ -1,98 +0,0 @@
-"""
-This example demonstrates the various options for showing a marker at a
-subset of data points using the `markevery` property of a Line2D object.
-
-Integer arguments are fairly intuitive.  e.g. `markevery`=5 will plot every
-5th marker starting from the first data point.
-
-Float arguments allow markers to be spaced at approximately equal distances
-along the line.  The theoretical distance along the line between markers is
-determined by multiplying the display-coordinate distance of the axes
-bounding-box diagonal by the value of `markevery`.  The data points closest
-to the theoretical distances will be shown.
-
-A slice or list/array can also be used with `markevery` to specify the markers
-to show.
-
-"""
-
-from __future__ import division
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.gridspec as gridspec
-
-# define a list of markevery cases to plot
-cases = [None,
-         8,
-         (30, 8),
-         [16, 24, 30], [0, -1],
-         slice(100, 200, 3),
-         0.1, 0.3, 1.5,
-         (0.0, 0.1), (0.45, 0.1)]
-
-# define the figure size and grid layout properties
-figsize = (10, 8)
-cols = 3
-gs = gridspec.GridSpec(len(cases) // cols + 1, cols)
-
-# define the data for cartesian plots
-delta = 0.11
-x = np.linspace(0, 10 - 2 * delta, 200) + delta
-y = np.sin(x) + 1.0 + delta
-
-# plot each markevery case for linear x and y scales
-fig1 = plt.figure(num=1, figsize=figsize)
-ax = []
-for i, case in enumerate(cases):
-    row = (i // cols)
-    col = i % cols
-    ax.append(fig1.add_subplot(gs[row, col]))
-    ax[-1].set_title('markevery=%s' % str(case))
-    ax[-1].plot(x, y, 'o', ls='-', ms=4, markevery=case)
-#fig1.tight_layout()
-
-# plot each markevery case for log x and y scales
-fig2 = plt.figure(num=2, figsize=figsize)
-axlog = []
-for i, case in enumerate(cases):
-    row = (i // cols)
-    col = i % cols
-    axlog.append(fig2.add_subplot(gs[row, col]))
-    axlog[-1].set_title('markevery=%s' % str(case))
-    axlog[-1].set_xscale('log')
-    axlog[-1].set_yscale('log')
-    axlog[-1].plot(x, y, 'o', ls='-', ms=4, markevery=case)
-fig2.tight_layout()
-
-# plot each markevery case for linear x and y scales but zoomed in
-# note the behaviour when zoomed in.  When a start marker offset is specified
-# it is always interpreted with respect to the first data point which might be
-# different to the first visible data point.
-fig3 = plt.figure(num=3, figsize=figsize)
-axzoom = []
-for i, case in enumerate(cases):
-    row = (i // cols)
-    col = i % cols
-    axzoom.append(fig3.add_subplot(gs[row, col]))
-    axzoom[-1].set_title('markevery=%s' % str(case))
-    axzoom[-1].plot(x, y, 'o', ls='-', ms=4, markevery=case)
-    axzoom[-1].set_xlim((6, 6.7))
-    axzoom[-1].set_ylim((1.1, 1.7))
-fig3.tight_layout()
-
-# define data for polar plots
-r = np.linspace(0, 3.0, 200)
-theta = 2 * np.pi * r
-
-# plot each markevery case for polar plots
-fig4 = plt.figure(num=4, figsize=figsize)
-axpolar = []
-for i, case in enumerate(cases):
-    row = (i // cols)
-    col = i % cols
-    axpolar.append(fig4.add_subplot(gs[row, col], polar=True))
-    axpolar[-1].set_title('markevery=%s' % str(case))
-    axpolar[-1].plot(theta, r, 'o', ls='-', ms=4, markevery=case)
-fig4.tight_layout()
-
-plt.show()
diff --git a/examples/pylab_examples/masked_demo.py b/examples/pylab_examples/masked_demo.py
deleted file mode 100644
index fb962c6ba3fb..000000000000
--- a/examples/pylab_examples/masked_demo.py
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/usr/bin/env python
-'''
-Plot lines with points masked out.
-
-This would typically be used with gappy data, to
-break the line at the data gaps.
-'''
-
-from pylab import *
-
-x = ma.arange(0, 2*pi, 0.02)
-y = ma.sin(x)
-y1 = sin(2*x)
-y2 = sin(3*x)
-ym1 = ma.masked_where(y1 > 0.5, y1)
-ym2 = ma.masked_where(y2 < -0.5, y2)
-
-lines = plot(x, y, 'r', x, ym1, 'g', x, ym2, 'bo')
-setp(lines[0], linewidth=4)
-setp(lines[1], linewidth=2)
-setp(lines[2], markersize=10)
-
-legend(('No mask', 'Masked if > 0.5', 'Masked if < -0.5'),
-       loc='upper right')
-title('Masked line demo')
-show()
diff --git a/examples/pylab_examples/mathtext_demo.py b/examples/pylab_examples/mathtext_demo.py
deleted file mode 100755
index bc335429976b..000000000000
--- a/examples/pylab_examples/mathtext_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/env python
-"""
-Use matplotlib's internal LaTeX parser and layout engine.  For true
-latex rendering, see the text.usetex option
-"""
-import numpy as np
-from matplotlib.pyplot import figure, show
-
-fig = figure()
-fig.subplots_adjust(bottom=0.2)
-
-ax = fig.add_subplot(111, axisbg='y')
-ax.plot([1, 2, 3], 'r')
-x = np.arange(0.0, 3.0, 0.1)
-
-ax.grid(True)
-ax.set_xlabel(r'$\Delta_i^j$', fontsize=20)
-ax.set_ylabel(r'$\Delta_{i+1}^j$', fontsize=20)
-tex = r'$\mathcal{R}\prod_{i=\alpha_{i+1}}^\infty a_i\sin(2 \pi f x_i)$'
-
-ax.text(1, 1.6, tex, fontsize=20, va='bottom')
-
-ax.legend([r"$\sqrt{x^2}$"])
-
-ax.set_title(r'$\Delta_i^j \hspace{0.4} \mathrm{versus} \hspace{0.4} \Delta_{i+1}^j$', fontsize=20)
-
-show()
diff --git a/examples/pylab_examples/mathtext_examples.py b/examples/pylab_examples/mathtext_examples.py
deleted file mode 100755
index ec6269e8d70c..000000000000
--- a/examples/pylab_examples/mathtext_examples.py
+++ /dev/null
@@ -1,125 +0,0 @@
-"""
-Selected features of Matplotlib's math rendering engine.
-"""
-from __future__ import print_function
-import matplotlib.pyplot as plt
-import os
-import sys
-import re
-import gc
-
-# Selection of features following "Writing mathematical expressions" tutorial
-mathtext_titles = {
-    0: "Header demo",
-    1: "Subscripts and superscripts",
-    2: "Fractions, binomials and stacked numbers",
-    3: "Radicals",
-    4: "Fonts",
-    5: "Accents",
-    6: "Greek, Hebrew",
-    7: "Delimiters, functions and Symbols"}
-n_lines = len(mathtext_titles)
-
-# Randomly picked examples
-mathext_demos = {
-    0: r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
-    r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} "
-    r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ "
-    r"U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_"
-    r"{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$",
-
-    1: r"$\alpha_i > \beta_i,\ "
-    r"\alpha_{i+1}^j = {\rm sin}(2\pi f_j t_i) e^{-5 t_i/\tau},\ "
-    r"\ldots$",
-
-    2: r"$\frac{3}{4},\ \binom{3}{4},\ \stackrel{3}{4},\ "
-    r"\left(\frac{5 - \frac{1}{x}}{4}\right),\ \ldots$",
-
-    3: r"$\sqrt{2},\ \sqrt[3]{x},\ \ldots$",
-
-    4: r"$\mathrm{Roman}\ , \ \mathit{Italic}\ , \ \mathtt{Typewriter} \ "
-    r"\mathrm{or}\ \mathcal{CALLIGRAPHY}$",
-
-    5: r"$\acute a,\ \bar a,\ \breve a,\ \dot a,\ \ddot a, \ \grave a, \ "
-    r"\hat a,\ \tilde a,\ \vec a,\ \widehat{xyz},\ \widetilde{xyz},\ "
-    r"\ldots$",
-
-    6: r"$\alpha,\ \beta,\ \chi,\ \delta,\ \lambda,\ \mu,\ "
-    r"\Delta,\ \Gamma,\ \Omega,\ \Phi,\ \Pi,\ \Upsilon,\ \nabla,\ "
-    r"\aleph,\ \beth,\ \daleth,\ \gimel,\ \ldots$",
-
-    7: r"$\coprod,\ \int,\ \oint,\ \prod,\ \sum,\ "
-    r"\log,\ \sin,\ \approx,\ \oplus,\ \star,\ \varpropto,\ "
-    r"\infty,\ \partial,\ \Re,\ \leftrightsquigarrow, \ \ldots$"}
-
-
-def doall():
-    # Colors used in mpl online documentation.
-    mpl_blue_rvb = (191./255., 209./256., 212./255.)
-    mpl_orange_rvb = (202/255., 121/256., 0./255.)
-    mpl_grey_rvb = (51./255., 51./255., 51./255.)
-
-    # Creating figure and axis.
-    plt.figure(figsize=(6, 7))
-    plt.axes([0.01, 0.01, 0.98, 0.90], axisbg="white", frameon=True)
-    plt.gca().set_xlim(0., 1.)
-    plt.gca().set_ylim(0., 1.)
-    plt.gca().set_title("Matplotlib's math rendering engine",
-                        color=mpl_grey_rvb, fontsize=14, weight='bold')
-    plt.gca().set_xticklabels("", visible=False)
-    plt.gca().set_yticklabels("", visible=False)
-
-    # Gap between lines in axes coords
-    line_axesfrac = (1. / (n_lines))
-
-    # Plotting header demonstration formula
-    full_demo = mathext_demos[0]
-    plt.annotate(full_demo,
-                 xy=(0.5, 1. - 0.59*line_axesfrac),
-                 xycoords='data', color=mpl_orange_rvb, ha='center',
-                 fontsize=20)
-
-    # Plotting features demonstration formulae
-    for i_line in range(1, n_lines):
-        baseline = 1. - (i_line)*line_axesfrac
-        baseline_next = baseline - line_axesfrac*1.
-        title = mathtext_titles[i_line] + ":"
-        fill_color = ['white', mpl_blue_rvb][i_line % 2]
-        plt.fill_between([0., 1.], [baseline, baseline],
-                         [baseline_next, baseline_next],
-                         color=fill_color, alpha=0.5)
-        plt.annotate(title,
-                     xy=(0.07, baseline - 0.3*line_axesfrac),
-                     xycoords='data', color=mpl_grey_rvb, weight='bold')
-        demo = mathext_demos[i_line]
-        plt.annotate(demo,
-                     xy=(0.05, baseline - 0.75*line_axesfrac),
-                     xycoords='data', color=mpl_grey_rvb,
-                     fontsize=16)
-
-    for i in range(n_lines):
-        s = mathext_demos[i]
-        print(i, s)
-    plt.show()
-
-if '--latex' in sys.argv:
-    # Run: python mathtext_examples.py --latex
-    # Need amsmath and amssymb packages.
-    fd = open("mathtext_examples.ltx", "w")
-    fd.write("\\documentclass{article}\n")
-    fd.write("\\usepackage{amsmath, amssymb}\n")
-    fd.write("\\begin{document}\n")
-    fd.write("\\begin{enumerate}\n")
-
-    for i in range(n_lines):
-        s = mathext_demos[i]
-        s = re.sub(r"(?<!\\)\$", "$$", s)
-        fd.write("\\item %s\n" % s)
-
-    fd.write("\\end{enumerate}\n")
-    fd.write("\\end{document}\n")
-    fd.close()
-
-    os.system("pdflatex mathtext_examples.ltx")
-else:
-    doall()
diff --git a/examples/pylab_examples/matplotlib_icon.py b/examples/pylab_examples/matplotlib_icon.py
deleted file mode 100644
index 80c9b82bf889..000000000000
--- a/examples/pylab_examples/matplotlib_icon.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/usr/bin/env python
-"""
-make the matplotlib svg minimization icon
-"""
-import matplotlib
-#matplotlib.use('Svg')
-from pylab import *
-
-rc('grid', ls='-', lw=2, color='k')
-fig = figure(figsize=(1, 1), dpi=72)
-axes([0.025, 0.025, 0.95, 0.95], axisbg='#bfd1d4')
-
-t = arange(0, 2, 0.05)
-s = sin(2*pi*t)
-plot(t, s, linewidth=4, color="#ca7900")
-axis([-.2, 2.2, -1.2, 1.2])
-
-# grid(True)
-setp(gca(), xticklabels=[], yticklabels=[])
-savefig('matplotlib', facecolor='0.75')
diff --git a/examples/pylab_examples/matshow.py b/examples/pylab_examples/matshow.py
deleted file mode 100755
index 4aed5c4d1497..000000000000
--- a/examples/pylab_examples/matshow.py
+++ /dev/null
@@ -1,22 +0,0 @@
-"""Simple matshow() example."""
-from matplotlib.pylab import *
-
-
-def samplemat(dims):
-    """Make a matrix with all zeros and increasing elements on the diagonal"""
-    aa = zeros(dims)
-    for i in range(min(dims)):
-        aa[i, i] = i
-    return aa
-
-
-# Display 2 matrices of different sizes
-dimlist = [(12, 12), (15, 35)]
-for d in dimlist:
-    matshow(samplemat(d))
-
-# Display a random matrix with a specified figure number and a grayscale
-# colormap
-matshow(rand(64, 64), fignum=100, cmap=cm.gray)
-
-show()
diff --git a/examples/pylab_examples/movie_demo.py b/examples/pylab_examples/movie_demo.py
deleted file mode 100755
index 0d1f7d78666f..000000000000
--- a/examples/pylab_examples/movie_demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-from __future__ import print_function
-
-import os
-import matplotlib.pyplot as plt
-import numpy as np
-
-files = []
-
-fig, ax = plt.subplots(figsize=(5, 5))
-for i in range(50):  # 50 frames
-    plt.cla()
-    plt.imshow(np.random.rand(5, 5), interpolation='nearest')
-    fname = '_tmp%03d.png' % i
-    print('Saving frame', fname)
-    plt.savefig(fname)
-    files.append(fname)
-
-print('Making movie animation.mpg - this make take a while')
-os.system("mencoder 'mf://_tmp*.png' -mf type=png:fps=10 -ovc lavc -lavcopts vcodec=wmv2 -oac copy -o animation.mpg")
-#os.system("convert _tmp*.png animation.mng")
-
-# cleanup
-for fname in files:
-    os.remove(fname)
diff --git a/examples/pylab_examples/mri_demo.py b/examples/pylab_examples/mri_demo.py
deleted file mode 100755
index 6fd45cf675ec..000000000000
--- a/examples/pylab_examples/mri_demo.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-from pylab import *
-import matplotlib.cbook as cbook
-# data are 256x256 16 bit integers
-dfile = cbook.get_sample_data('s1045.ima.gz')
-im = np.fromstring(dfile.read(), np.uint16).astype(float)
-im.shape = 256, 256
-
-#imshow(im, ColormapJet(256))
-imshow(im, cmap=cm.gray)
-axis('off')
-
-show()
diff --git a/examples/pylab_examples/mri_with_eeg.py b/examples/pylab_examples/mri_with_eeg.py
deleted file mode 100755
index 3a3760853aa0..000000000000
--- a/examples/pylab_examples/mri_with_eeg.py
+++ /dev/null
@@ -1,78 +0,0 @@
-#!/usr/bin/env python
-
-"""
-This now uses the imshow command instead of pcolor which *is much
-faster*
-"""
-from __future__ import division, print_function
-
-import numpy as np
-
-from matplotlib.pyplot import *
-from matplotlib.collections import LineCollection
-import matplotlib.cbook as cbook
-# I use if 1 to break up the different regions of code visually
-
-if 1:   # load the data
-    # data are 256x256 16 bit integers
-    dfile = cbook.get_sample_data('s1045.ima.gz')
-    im = np.fromstring(dfile.read(), np.uint16).astype(float)
-    im.shape = 256, 256
-
-if 1:  # plot the MRI in pcolor
-    subplot(221)
-    imshow(im, cmap=cm.gray)
-    axis('off')
-
-if 1:  # plot the histogram of MRI intensity
-    subplot(222)
-    im = np.ravel(im)
-    im = im[np.nonzero(im)]  # ignore the background
-    im = im/(2.0**15)  # normalize
-    hist(im, 100)
-    xticks([-1, -.5, 0, .5, 1])
-    yticks([])
-    xlabel('intensity')
-    ylabel('MRI density')
-
-if 1:   # plot the EEG
-    # load the data
-
-    numSamples, numRows = 800, 4
-    eegfile = cbook.get_sample_data('eeg.dat', asfileobj=False)
-    print('loading eeg %s' % eegfile)
-    data = np.fromstring(open(eegfile, 'rb').read(), float)
-    data.shape = numSamples, numRows
-    t = 10.0 * np.arange(numSamples, dtype=float)/numSamples
-    ticklocs = []
-    ax = subplot(212)
-    xlim(0, 10)
-    xticks(np.arange(10))
-    dmin = data.min()
-    dmax = data.max()
-    dr = (dmax - dmin)*0.7  # Crowd them a bit.
-    y0 = dmin
-    y1 = (numRows - 1) * dr + dmax
-    ylim(y0, y1)
-
-    segs = []
-    for i in range(numRows):
-        segs.append(np.hstack((t[:, np.newaxis], data[:, i, np.newaxis])))
-        ticklocs.append(i*dr)
-
-    offsets = np.zeros((numRows, 2), dtype=float)
-    offsets[:, 1] = ticklocs
-
-    lines = LineCollection(segs, offsets=offsets,
-                           transOffset=None,
-                           )
-
-    ax.add_collection(lines)
-
-    # set the yticks to use axes coords on the y axis
-    ax.set_yticks(ticklocs)
-    ax.set_yticklabels(['PG3', 'PG5', 'PG7', 'PG9'])
-
-    xlabel('time (s)')
-
-show()
diff --git a/examples/pylab_examples/multi_image.py b/examples/pylab_examples/multi_image.py
deleted file mode 100644
index dad829afec93..000000000000
--- a/examples/pylab_examples/multi_image.py
+++ /dev/null
@@ -1,80 +0,0 @@
-#!/usr/bin/env python
-'''
-Make a set of images with a single colormap, norm, and colorbar.
-
-It also illustrates colorbar tick labelling with a multiplier.
-'''
-
-from matplotlib.pyplot import figure, show, axes, sci
-from matplotlib import cm, colors
-from matplotlib.font_manager import FontProperties
-from numpy import amin, amax, ravel
-from numpy.random import rand
-
-Nr = 3
-Nc = 2
-
-fig = figure()
-cmap = cm.cool
-
-figtitle = 'Multiple images'
-t = fig.text(0.5, 0.95, figtitle,
-             horizontalalignment='center',
-             fontproperties=FontProperties(size=16))
-
-cax = fig.add_axes([0.2, 0.08, 0.6, 0.04])
-
-w = 0.4
-h = 0.22
-ax = []
-images = []
-vmin = 1e40
-vmax = -1e40
-for i in range(Nr):
-    for j in range(Nc):
-        pos = [0.075 + j*1.1*w, 0.18 + i*1.2*h, w, h]
-        a = fig.add_axes(pos)
-        if i > 0:
-            a.set_xticklabels([])
-        # Make some fake data with a range that varies
-        # somewhat from one plot to the next.
-        data = ((1 + i + j)/10.0)*rand(10, 20)*1e-6
-        dd = ravel(data)
-        # Manually find the min and max of all colors for
-        # use in setting the color scale.
-        vmin = min(vmin, amin(dd))
-        vmax = max(vmax, amax(dd))
-        images.append(a.imshow(data, cmap=cmap))
-
-        ax.append(a)
-
-# Set the first image as the master, with all the others
-# observing it for changes in cmap or norm.
-
-
-class ImageFollower(object):
-    'update image in response to changes in clim or cmap on another image'
-
-    def __init__(self, follower):
-        self.follower = follower
-
-    def __call__(self, leader):
-        self.follower.set_cmap(leader.get_cmap())
-        self.follower.set_clim(leader.get_clim())
-
-norm = colors.Normalize(vmin=vmin, vmax=vmax)
-for i, im in enumerate(images):
-    im.set_norm(norm)
-    if i > 0:
-        images[0].callbacksSM.connect('changed', ImageFollower(im))
-
-# The colorbar is also based on this master image.
-fig.colorbar(images[0], cax, orientation='horizontal')
-
-# We need the following only if we want to run this interactively and
-# modify the colormap:
-
-axes(ax[0])     # Return the current axes to the first one,
-sci(images[0])  # because the current image must be in current axes.
-
-show()
diff --git a/examples/pylab_examples/multicolored_line.py b/examples/pylab_examples/multicolored_line.py
deleted file mode 100644
index 78a8ef42f737..000000000000
--- a/examples/pylab_examples/multicolored_line.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-'''
-Color parts of a line based on its properties, e.g., slope.
-'''
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.collections import LineCollection
-from matplotlib.colors import ListedColormap, BoundaryNorm
-
-x = np.linspace(0, 3 * np.pi, 500)
-y = np.sin(x)
-z = np.cos(0.5 * (x[:-1] + x[1:]))  # first derivative
-
-# Create a colormap for red, green and blue and a norm to color
-# f' < -0.5 red, f' > 0.5 blue, and the rest green
-cmap = ListedColormap(['r', 'g', 'b'])
-norm = BoundaryNorm([-1, -0.5, 0.5, 1], cmap.N)
-
-# Create a set of line segments so that we can color them individually
-# This creates the points as a N x 1 x 2 array so that we can stack points
-# together easily to get the segments. The segments array for line collection
-# needs to be numlines x points per line x 2 (x and y)
-points = np.array([x, y]).T.reshape(-1, 1, 2)
-segments = np.concatenate([points[:-1], points[1:]], axis=1)
-
-# Create the line collection object, setting the colormapping parameters.
-# Have to set the actual values used for colormapping separately.
-lc = LineCollection(segments, cmap=cmap, norm=norm)
-lc.set_array(z)
-lc.set_linewidth(3)
-
-fig1 = plt.figure()
-plt.gca().add_collection(lc)
-plt.xlim(x.min(), x.max())
-plt.ylim(-1.1, 1.1)
-
-# Now do a second plot coloring the curve using a continuous colormap
-t = np.linspace(0, 10, 200)
-x = np.cos(np.pi * t)
-y = np.sin(t)
-points = np.array([x, y]).T.reshape(-1, 1, 2)
-segments = np.concatenate([points[:-1], points[1:]], axis=1)
-
-lc = LineCollection(segments, cmap=plt.get_cmap('copper'),
-                    norm=plt.Normalize(0, 10))
-lc.set_array(t)
-lc.set_linewidth(3)
-
-fig2 = plt.figure()
-plt.gca().add_collection(lc)
-plt.xlim(-1, 1)
-plt.ylim(-1, 1)
-plt.show()
diff --git a/examples/pylab_examples/multiline.py b/examples/pylab_examples/multiline.py
deleted file mode 100644
index 85369a13688f..000000000000
--- a/examples/pylab_examples/multiline.py
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-#from matplotlib.pyplot import *
-#from numpy import arange
-
-if 1:
-    figure(figsize=(7, 4))
-    ax = subplot(121)
-    ax.set_aspect(1)
-    plot(arange(10))
-    xlabel('this is a xlabel\n(with newlines!)')
-    ylabel('this is vertical\ntest', multialignment='center')
-    #ylabel('this is another!')
-    text(2, 7, 'this is\nyet another test',
-         rotation=45,
-         horizontalalignment='center',
-         verticalalignment='top',
-         multialignment='center')
-
-    grid(True)
-
-    subplot(122)
-
-    text(0.29, 0.7, "Mat\nTTp\n123", size=18,
-         va="baseline", ha="right", multialignment="left",
-         bbox=dict(fc="none"))
-
-    text(0.34, 0.7, "Mag\nTTT\n123", size=18,
-         va="baseline", ha="left", multialignment="left",
-         bbox=dict(fc="none"))
-
-    text(0.95, 0.7, "Mag\nTTT$^{A^A}$\n123", size=18,
-         va="baseline", ha="right", multialignment="left",
-         bbox=dict(fc="none"))
-
-    xticks([0.2, 0.4, 0.6, 0.8, 1.],
-           ["Jan\n2009", "Feb\n2009", "Mar\n2009", "Apr\n2009", "May\n2009"])
-
-    axhline(0.7)
-    title("test line spacing for multiline text")
-
-subplots_adjust(bottom=0.25, top=0.8)
-draw()
-show()
diff --git a/examples/pylab_examples/multipage_pdf.py b/examples/pylab_examples/multipage_pdf.py
deleted file mode 100644
index 2ccdfd2fe046..000000000000
--- a/examples/pylab_examples/multipage_pdf.py
+++ /dev/null
@@ -1,40 +0,0 @@
-# This is a demo of creating a pdf file with several pages.
-
-import datetime
-import numpy as np
-from matplotlib.backends.backend_pdf import PdfPages
-import matplotlib.pyplot as plt
-
-# Create the PdfPages object to which we will save the pages:
-# The with statement makes sure that the PdfPages object is closed properly at
-# the end of the block, even if an Exception occurs.
-with PdfPages('multipage_pdf.pdf') as pdf:
-    plt.figure(figsize=(3, 3))
-    plt.plot(range(7), [3, 1, 4, 1, 5, 9, 2], 'r-o')
-    plt.title('Page One')
-    pdf.savefig()  # saves the current figure into a pdf page
-    plt.close()
-
-    plt.rc('text', usetex=True)
-    plt.figure(figsize=(8, 6))
-    x = np.arange(0, 5, 0.1)
-    plt.plot(x, np.sin(x), 'b-')
-    plt.title('Page Two')
-    pdf.savefig()
-    plt.close()
-
-    plt.rc('text', usetex=False)
-    fig = plt.figure(figsize=(4, 5))
-    plt.plot(x, x*x, 'ko')
-    plt.title('Page Three')
-    pdf.savefig(fig)  # or you can pass a Figure object to pdf.savefig
-    plt.close()
-
-    # We can also set the file's metadata via the PdfPages object:
-    d = pdf.infodict()
-    d['Title'] = 'Multipage PDF Example'
-    d['Author'] = u'Jouni K. Sepp\xe4nen'
-    d['Subject'] = 'How to create a multipage pdf file and set its metadata'
-    d['Keywords'] = 'PdfPages multipage keywords author title subject'
-    d['CreationDate'] = datetime.datetime(2009, 11, 13)
-    d['ModDate'] = datetime.datetime.today()
diff --git a/examples/pylab_examples/multiple_figs_demo.py b/examples/pylab_examples/multiple_figs_demo.py
deleted file mode 100644
index 4874c38fd052..000000000000
--- a/examples/pylab_examples/multiple_figs_demo.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-# Working with multiple figure windows and subplots
-from pylab import *
-
-t = arange(0.0, 2.0, 0.01)
-s1 = sin(2*pi*t)
-s2 = sin(4*pi*t)
-
-figure(1)
-subplot(211)
-plot(t, s1)
-subplot(212)
-plot(t, 2*s1)
-
-figure(2)
-plot(t, s2)
-
-# now switch back to figure 1 and make some changes
-figure(1)
-subplot(211)
-plot(t, s2, 'gs')
-setp(gca(), 'xticklabels', [])
-
-figure(1)
-savefig('fig1')
-figure(2)
-savefig('fig2')
-
-show()
diff --git a/examples/pylab_examples/multiple_yaxis_with_spines.py b/examples/pylab_examples/multiple_yaxis_with_spines.py
deleted file mode 100644
index 98532d31b047..000000000000
--- a/examples/pylab_examples/multiple_yaxis_with_spines.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import matplotlib.pyplot as plt
-
-
-def make_patch_spines_invisible(ax):
-    ax.set_frame_on(True)
-    ax.patch.set_visible(False)
-    for sp in ax.spines.itervalues():
-        sp.set_visible(False)
-
-fig, host = plt.subplots()
-fig.subplots_adjust(right=0.75)
-
-par1 = host.twinx()
-par2 = host.twinx()
-
-# Offset the right spine of par2.  The ticks and label have already been
-# placed on the right by twinx above.
-par2.spines["right"].set_position(("axes", 1.2))
-# Having been created by twinx, par2 has its frame off, so the line of its
-# detached spine is invisible.  First, activate the frame but make the patch
-# and spines invisible.
-make_patch_spines_invisible(par2)
-# Second, show the right spine.
-par2.spines["right"].set_visible(True)
-
-p1, = host.plot([0, 1, 2], [0, 1, 2], "b-", label="Density")
-p2, = par1.plot([0, 1, 2], [0, 3, 2], "r-", label="Temperature")
-p3, = par2.plot([0, 1, 2], [50, 30, 15], "g-", label="Velocity")
-
-host.set_xlim(0, 2)
-host.set_ylim(0, 2)
-par1.set_ylim(0, 4)
-par2.set_ylim(1, 65)
-
-host.set_xlabel("Distance")
-host.set_ylabel("Density")
-par1.set_ylabel("Temperature")
-par2.set_ylabel("Velocity")
-
-host.yaxis.label.set_color(p1.get_color())
-par1.yaxis.label.set_color(p2.get_color())
-par2.yaxis.label.set_color(p3.get_color())
-
-tkw = dict(size=4, width=1.5)
-host.tick_params(axis='y', colors=p1.get_color(), **tkw)
-par1.tick_params(axis='y', colors=p2.get_color(), **tkw)
-par2.tick_params(axis='y', colors=p3.get_color(), **tkw)
-host.tick_params(axis='x', **tkw)
-
-lines = [p1, p2, p3]
-
-host.legend(lines, [l.get_label() for l in lines])
-
-plt.show()
diff --git a/examples/pylab_examples/nan_test.py b/examples/pylab_examples/nan_test.py
deleted file mode 100755
index 190235c5766f..000000000000
--- a/examples/pylab_examples/nan_test.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-"""
-Example: simple line plots with NaNs inserted.
-"""
-from pylab import *
-import numpy as np
-
-t = arange(0.0, 1.0 + 0.01, 0.01)
-s = cos(2*2*pi*t)
-t[41:60] = NaN
-#t[50:60] = np.inf
-
-subplot(2, 1, 1)
-plot(t, s, '-', lw=2)
-
-xlabel('time (s)')
-ylabel('voltage (mV)')
-title('A sine wave with a gap of NaNs between 0.4 and 0.6')
-grid(True)
-
-subplot(2, 1, 2)
-t[0] = NaN
-t[-1] = NaN
-plot(t, s, '-', lw=2)
-title('Also with NaN in first and last point')
-
-xlabel('time (s)')
-ylabel('more nans')
-grid(True)
-
-show()
diff --git a/examples/pylab_examples/newscalarformatter_demo.py b/examples/pylab_examples/newscalarformatter_demo.py
deleted file mode 100644
index c91a938386d9..000000000000
--- a/examples/pylab_examples/newscalarformatter_demo.py
+++ /dev/null
@@ -1,88 +0,0 @@
-#!/usr/bin/env python
-# Demonstrating the improvements and options of the proposed new ScalarFormatter
-from pylab import *
-from matplotlib.ticker import OldScalarFormatter
-
-x = frange(0, 1, .01)
-f = figure(figsize=(6, 6))
-f.text(0.5, 0.975, 'The old formatter', horizontalalignment='center', verticalalignment='top')
-subplot(221)
-plot(x*1e5 + 1e10, x*1e-10 + 1e-5)
-gca().xaxis.set_major_formatter(OldScalarFormatter())
-gca().yaxis.set_major_formatter(OldScalarFormatter())
-subplot(222)
-plot(x*1e5, x*1e-4)
-gca().xaxis.set_major_formatter(OldScalarFormatter())
-gca().yaxis.set_major_formatter(OldScalarFormatter())
-subplot(223)
-plot(-x*1e5 - 1e10, -x*1e-5 - 1e-10)
-gca().xaxis.set_major_formatter(OldScalarFormatter())
-gca().yaxis.set_major_formatter(OldScalarFormatter())
-subplot(224)
-plot(-x*1e5, -x*1e-4)
-gca().xaxis.set_major_formatter(OldScalarFormatter())
-gca().yaxis.set_major_formatter(OldScalarFormatter())
-
-x = frange(0, 1, .01)
-f = figure(figsize=(6, 6))
-f.text(0.5, 0.975, 'The new formatter, default settings', horizontalalignment='center',
-       verticalalignment='top')
-subplot(221)
-plot(x*1e5 + 1e10, x*1e-10 + 1e-5)
-gca().xaxis.set_major_formatter(ScalarFormatter())
-gca().yaxis.set_major_formatter(ScalarFormatter())
-subplot(222)
-plot(x*1e5, x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter())
-gca().yaxis.set_major_formatter(ScalarFormatter())
-subplot(223)
-plot(-x*1e5 - 1e10, -x*1e-5 - 1e-10)
-gca().xaxis.set_major_formatter(ScalarFormatter())
-gca().yaxis.set_major_formatter(ScalarFormatter())
-subplot(224)
-plot(-x*1e5, -x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter())
-gca().yaxis.set_major_formatter(ScalarFormatter())
-
-x = frange(0, 1, .01)
-f = figure(figsize=(6, 6))
-f.text(0.5, 0.975, 'The new formatter, no numerical offset', horizontalalignment='center',
-       verticalalignment='top')
-subplot(221)
-plot(x*1e5 + 1e10, x*1e-10 + 1e-5)
-gca().xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-gca().yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-subplot(222)
-plot(x*1e5, x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-gca().yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-subplot(223)
-plot(-x*1e5 - 1e10, -x*1e-5 - 1e-10)
-gca().xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-gca().yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-subplot(224)
-plot(-x*1e5, -x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-gca().yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
-
-x = frange(0, 1, .01)
-f = figure(figsize=(6, 6))
-f.text(0.5, 0.975, 'The new formatter, with mathtext', horizontalalignment='center',
-       verticalalignment='top')
-subplot(221)
-plot(x*1e5 + 1e10, x*1e-10 + 1e-5)
-gca().xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-gca().yaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-subplot(222)
-plot(x*1e5, x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-gca().yaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-subplot(223)
-plot(-x*1e5 - 1e10, -x*1e-5 - 1e-10)
-gca().xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-gca().yaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-subplot(224)
-plot(-x*1e5, -x*1e-4)
-gca().xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-gca().yaxis.set_major_formatter(ScalarFormatter(useMathText=True))
-show()
diff --git a/examples/pylab_examples/patheffect_demo.py b/examples/pylab_examples/patheffect_demo.py
deleted file mode 100644
index 0adac2911987..000000000000
--- a/examples/pylab_examples/patheffect_demo.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.patheffects as PathEffects
-import numpy as np
-
-if 1:
-    plt.figure(1, figsize=(8, 3))
-    ax1 = plt.subplot(131)
-    ax1.imshow([[1, 2], [2, 3]])
-    txt = ax1.annotate("test", (1., 1.), (0., 0),
-                       arrowprops=dict(arrowstyle="->",
-                                       connectionstyle="angle3", lw=2),
-                       size=20, ha="center", path_effects=[PathEffects.withStroke(linewidth=3,
-                                                                                  foreground="w")])
-    txt.arrow_patch.set_path_effects([
-        PathEffects.Stroke(linewidth=5, foreground="w"),
-        PathEffects.Normal()])
-
-    ax1.grid(True, linestyle="-")
-
-    pe = [PathEffects.withStroke(linewidth=3,
-                                 foreground="w")]
-    for l in ax1.get_xgridlines() + ax1.get_ygridlines():
-        l.set_path_effects(pe)
-
-    ax2 = plt.subplot(132)
-    arr = np.arange(25).reshape((5, 5))
-    ax2.imshow(arr)
-    cntr = ax2.contour(arr, colors="k")
-
-    plt.setp(cntr.collections, path_effects=[
-        PathEffects.withStroke(linewidth=3, foreground="w")])
-
-    clbls = ax2.clabel(cntr, fmt="%2.0f", use_clabeltext=True)
-    plt.setp(clbls, path_effects=[
-        PathEffects.withStroke(linewidth=3, foreground="w")])
-
-    # shadow as a path effect
-    ax3 = plt.subplot(133)
-    p1, = ax3.plot([0, 1], [0, 1])
-    leg = ax3.legend([p1], ["Line 1"], fancybox=True, loc=2)
-    leg.legendPatch.set_path_effects([PathEffects.withSimplePatchShadow()])
-
-    plt.show()
diff --git a/examples/pylab_examples/pcolor_demo.py b/examples/pylab_examples/pcolor_demo.py
deleted file mode 100644
index 7f656c6c3193..000000000000
--- a/examples/pylab_examples/pcolor_demo.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-Demonstrates similarities between pcolor, pcolormesh, imshow and pcolorfast
-for drawing quadrilateral grids.
-
-"""
-import matplotlib.pyplot as plt
-import numpy as np
-
-# make these smaller to increase the resolution
-dx, dy = 0.15, 0.05
-
-# generate 2 2d grids for the x & y bounds
-y, x = np.mgrid[slice(-3, 3 + dy, dy),
-                slice(-3, 3 + dx, dx)]
-z = (1 - x / 2. + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)
-# x and y are bounds, so z should be the value *inside* those bounds.
-# Therefore, remove the last value from the z array.
-z = z[:-1, :-1]
-z_min, z_max = -np.abs(z).max(), np.abs(z).max()
-
-
-plt.subplot(2, 2, 1)
-plt.pcolor(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
-plt.title('pcolor')
-# set the limits of the plot to the limits of the data
-plt.axis([x.min(), x.max(), y.min(), y.max()])
-plt.colorbar()
-
-
-plt.subplot(2, 2, 2)
-plt.pcolormesh(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
-plt.title('pcolormesh')
-# set the limits of the plot to the limits of the data
-plt.axis([x.min(), x.max(), y.min(), y.max()])
-plt.colorbar()
-
-
-plt.subplot(2, 2, 3)
-plt.imshow(z, cmap='RdBu', vmin=z_min, vmax=z_max,
-           extent=[x.min(), x.max(), y.min(), y.max()],
-           interpolation='nearest', origin='lower')
-plt.title('image (interp. nearest)')
-plt.colorbar()
-
-
-ax = plt.subplot(2, 2, 4)
-ax.pcolorfast(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
-plt.title('pcolorfast')
-plt.colorbar()
-
-
-plt.show()
diff --git a/examples/pylab_examples/pcolor_log.py b/examples/pylab_examples/pcolor_log.py
deleted file mode 100644
index 8a51d84ecd0b..000000000000
--- a/examples/pylab_examples/pcolor_log.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import matplotlib.pyplot as plt
-from matplotlib.colors import LogNorm
-import numpy as np
-from matplotlib.mlab import bivariate_normal
-
-
-N = 100
-X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
-
-# A low hump with a spike coming out of the top right.
-# Needs to have z/colour axis on a log scale so we see both hump and spike.
-# linear scale only shows the spike.
-Z1 = bivariate_normal(X, Y, 0.1, 0.2, 1.0, 1.0) + 0.1 * bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-
-plt.subplot(2, 1, 1)
-plt.pcolor(X, Y, Z1, norm=LogNorm(vmin=Z1.min(), vmax=Z1.max()), cmap='PuBu_r')
-plt.colorbar()
-
-plt.subplot(2, 1, 2)
-plt.pcolor(X, Y, Z1, cmap='PuBu_r')
-plt.colorbar()
-
-
-plt.show()
diff --git a/examples/pylab_examples/pcolor_small.py b/examples/pylab_examples/pcolor_small.py
deleted file mode 100644
index 8034103ef4db..000000000000
--- a/examples/pylab_examples/pcolor_small.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import matplotlib.pyplot as plt
-from numpy.random import rand
-
-Z = rand(6, 10)
-
-plt.subplot(2, 1, 1)
-c = plt.pcolor(Z)
-plt.title('default: no edges')
-
-plt.subplot(2, 1, 2)
-c = plt.pcolor(Z, edgecolors='k', linewidths=4)
-plt.title('thick edges')
-
-plt.show()
diff --git a/examples/pylab_examples/pie_demo2.py b/examples/pylab_examples/pie_demo2.py
deleted file mode 100644
index c96d5a83ccdc..000000000000
--- a/examples/pylab_examples/pie_demo2.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-Make a pie charts of varying size - see
-http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie for the docstring.
-
-This example shows a basic pie charts with labels optional features,
-like autolabeling the percentage, offsetting a slice with "explode"
-and adding a shadow, in different sizes.
-
-"""
-import matplotlib.pyplot as plt
-from matplotlib.gridspec import GridSpec
-
-# Some data
-
-labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
-fracs = [15, 30, 45, 10]
-
-explode = (0, 0.05, 0, 0)
-
-# Make square figures and axes
-
-the_grid = GridSpec(2, 2)
-
-plt.subplot(the_grid[0, 0], aspect=1)
-
-plt.pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)
-
-plt.subplot(the_grid[0, 1], aspect=1)
-
-plt.pie(fracs, explode=explode, labels=labels, autopct='%.0f%%', shadow=True)
-
-plt.subplot(the_grid[1, 0], aspect=1)
-
-patches, texts, autotexts = plt.pie(fracs, labels=labels,
-                                    autopct='%.0f%%',
-                                    shadow=True, radius=0.5)
-
-# Make the labels on the small plot easier to read.
-for t in texts:
-    t.set_size('smaller')
-for t in autotexts:
-    t.set_size('x-small')
-autotexts[0].set_color('y')
-
-plt.subplot(the_grid[1, 1], aspect=1)
-
-# Turn off shadow for tiny plot with exploded slice.
-patches, texts, autotexts = plt.pie(fracs, explode=explode,
-                                    labels=labels, autopct='%.0f%%',
-                                    shadow=False, radius=0.5)
-for t in texts:
-    t.set_size('smaller')
-for t in autotexts:
-    t.set_size('x-small')
-autotexts[0].set_color('y')
-
-plt.show()
diff --git a/examples/pylab_examples/plotfile_demo.py b/examples/pylab_examples/plotfile_demo.py
deleted file mode 100644
index c6902f4b5655..000000000000
--- a/examples/pylab_examples/plotfile_demo.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from pylab import plotfile, show, gca
-import matplotlib.cbook as cbook
-
-fname = cbook.get_sample_data('msft.csv', asfileobj=False)
-fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False)
-
-# test 1; use ints
-plotfile(fname, (0, 5, 6))
-
-# test 2; use names
-plotfile(fname, ('date', 'volume', 'adj_close'))
-
-# test 3; use semilogy for volume
-plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'})
-
-# test 4; use semilogy for volume
-plotfile(fname, (0, 5, 6), plotfuncs={5: 'semilogy'})
-
-# test 5; single subplot
-plotfile(fname, ('date', 'open', 'high', 'low', 'close'), subplots=False)
-
-# test 6; labeling, if no names in csv-file
-plotfile(fname2, cols=(0, 1, 2), delimiter=' ',
-         names=['$x$', '$f(x)=x^2$', '$f(x)=x^3$'])
-
-# test 7; more than one file per figure--illustrated here with a single file
-plotfile(fname2, cols=(0, 1), delimiter=' ')
-plotfile(fname2, cols=(0, 2), newfig=False, delimiter=' ')  # use current figure
-gca().set_xlabel(r'$x$')
-gca().set_ylabel(r'$f(x) = x^2, x^3$')
-
-# test 8; use bar for volume
-plotfile(fname, (0, 5, 6), plotfuncs={5: 'bar'})
-
-show()
diff --git a/examples/pylab_examples/polar_demo.py b/examples/pylab_examples/polar_demo.py
deleted file mode 100644
index 3127cb55fde2..000000000000
--- a/examples/pylab_examples/polar_demo.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-Demo of a line plot on a polar axis.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-r = np.arange(0, 3.0, 0.01)
-theta = 2 * np.pi * r
-
-ax = plt.subplot(111, polar=True)
-ax.plot(theta, r, color='r', linewidth=3)
-ax.set_rmax(2.0)
-ax.grid(True)
-
-ax.set_title("A line plot on a polar axis", va='bottom')
-plt.show()
diff --git a/examples/pylab_examples/polar_legend.py b/examples/pylab_examples/polar_legend.py
deleted file mode 100644
index 9e54c43aad3c..000000000000
--- a/examples/pylab_examples/polar_legend.py
+++ /dev/null
@@ -1,21 +0,0 @@
-#!/usr/bin/env python
-
-import numpy as np
-from matplotlib.pyplot import figure, show, rc
-
-# radar green, solid grid lines
-rc('grid', color='#316931', linewidth=1, linestyle='-')
-rc('xtick', labelsize=15)
-rc('ytick', labelsize=15)
-
-# force square figure and square axes looks better for polar, IMO
-fig = figure(figsize=(8, 8))
-ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c')
-
-r = np.arange(0, 3.0, 0.01)
-theta = 2*np.pi*r
-ax.plot(theta, r, color='#ee8d18', lw=3, label='a line')
-ax.plot(0.5*theta, r, color='blue', ls='--', lw=3, label='another line')
-ax.legend()
-
-show()
diff --git a/examples/pylab_examples/print_stdout.py b/examples/pylab_examples/print_stdout.py
deleted file mode 100644
index f7f165c85189..000000000000
--- a/examples/pylab_examples/print_stdout.py
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-# print png to standard out
-# usage: python print_stdout.py > somefile.png
-import sys
-import matplotlib
-matplotlib.use('Agg')
-from pylab import *
-
-plot([1, 2, 3])
-
-savefig(sys.stdout)
-show()
diff --git a/examples/pylab_examples/psd_demo.py b/examples/pylab_examples/psd_demo.py
deleted file mode 100644
index 548595b2b7e4..000000000000
--- a/examples/pylab_examples/psd_demo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-# python
-
-from pylab import *
-
-dt = 0.01
-t = arange(0, 10, dt)
-nse = randn(len(t))
-r = exp(-t/0.05)
-
-cnse = convolve(nse, r)*dt
-cnse = cnse[:len(t)]
-s = 0.1*sin(2*pi*t) + cnse
-
-subplot(211)
-plot(t, s)
-subplot(212)
-psd(s, 512, 1/dt)
-
-show()
-"""
-% compare with MATLAB
-dt = 0.01;
-t = [0:dt:10];
-nse = randn(size(t));
-r = exp(-t/0.05);
-cnse = conv(nse, r)*dt;
-cnse = cnse(1:length(t));
-s = 0.1*sin(2*pi*t) + cnse;
-
-subplot(211)
-plot(t,s)
-subplot(212)
-psd(s, 512, 1/dt)
-
-"""
diff --git a/examples/pylab_examples/psd_demo2.py b/examples/pylab_examples/psd_demo2.py
deleted file mode 100644
index 0402c022e9f1..000000000000
--- a/examples/pylab_examples/psd_demo2.py
+++ /dev/null
@@ -1,42 +0,0 @@
-# This example shows the effects of some of the different PSD parameters
-import numpy as np
-import matplotlib.pyplot as plt
-
-dt = np.pi / 100.
-fs = 1. / dt
-t = np.arange(0, 8, dt)
-y = 10. * np.sin(2 * np.pi * 4 * t) + 5. * np.sin(2 * np.pi * 4.25 * t)
-y = y + np.random.randn(*t.shape)
-
-# Plot the raw time series
-fig = plt.figure()
-fig.subplots_adjust(hspace=0.45, wspace=0.3)
-ax = fig.add_subplot(2, 1, 1)
-ax.plot(t, y)
-
-# Plot the PSD with different amounts of zero padding. This uses the entire
-# time series at once
-ax2 = fig.add_subplot(2, 3, 4)
-ax2.psd(y, NFFT=len(t), pad_to=len(t), Fs=fs)
-ax2.psd(y, NFFT=len(t), pad_to=len(t)*2, Fs=fs)
-ax2.psd(y, NFFT=len(t), pad_to=len(t)*4, Fs=fs)
-plt.title('zero padding')
-
-# Plot the PSD with different block sizes, Zero pad to the length of the
-# original data sequence.
-ax3 = fig.add_subplot(2, 3, 5, sharex=ax2, sharey=ax2)
-ax3.psd(y, NFFT=len(t), pad_to=len(t), Fs=fs)
-ax3.psd(y, NFFT=len(t)//2, pad_to=len(t), Fs=fs)
-ax3.psd(y, NFFT=len(t)//4, pad_to=len(t), Fs=fs)
-ax3.set_ylabel('')
-plt.title('block size')
-
-# Plot the PSD with different amounts of overlap between blocks
-ax4 = fig.add_subplot(2, 3, 6, sharex=ax2, sharey=ax2)
-ax4.psd(y, NFFT=len(t)//2, pad_to=len(t), noverlap=0, Fs=fs)
-ax4.psd(y, NFFT=len(t)//2, pad_to=len(t), noverlap=int(0.05*len(t)/2.), Fs=fs)
-ax4.psd(y, NFFT=len(t)//2, pad_to=len(t), noverlap=int(0.2*len(t)/2.), Fs=fs)
-ax4.set_ylabel('')
-plt.title('overlap')
-
-plt.show()
diff --git a/examples/pylab_examples/psd_demo3.py b/examples/pylab_examples/psd_demo3.py
deleted file mode 100644
index ab1faf3c5652..000000000000
--- a/examples/pylab_examples/psd_demo3.py
+++ /dev/null
@@ -1,36 +0,0 @@
-# This is a ported version of a MATLAB example from the signal processing
-# toolbox that showed some difference at one time between Matplotlib's and
-# MATLAB's scaling of the PSD.
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.mlab as mlab
-
-fs = 1000
-t = np.linspace(0, 0.3, 301)
-A = np.array([2, 8]).reshape(-1, 1)
-f = np.array([150, 140]).reshape(-1, 1)
-xn = (A * np.sin(2 * np.pi * f * t)).sum(axis=0) + 5 * np.random.randn(*t.shape)
-
-yticks = np.arange(-50, 30, 10)
-xticks = np.arange(0, 550, 100)
-plt.subplots_adjust(hspace=0.45, wspace=0.3)
-plt.subplot(1, 2, 1)
-
-plt.psd(xn, NFFT=301, Fs=fs, window=mlab.window_none, pad_to=1024,
-        scale_by_freq=True)
-plt.title('Periodogram')
-plt.yticks(yticks)
-plt.xticks(xticks)
-plt.grid(True)
-
-plt.subplot(1, 2, 2)
-plt.psd(xn, NFFT=150, Fs=fs, window=mlab.window_none, noverlap=75, pad_to=512,
-        scale_by_freq=True)
-plt.title('Welch')
-plt.xticks(xticks)
-plt.yticks(yticks)
-plt.ylabel('')
-plt.grid(True)
-
-plt.show()
diff --git a/examples/pylab_examples/psd_demo_complex.py b/examples/pylab_examples/psd_demo_complex.py
deleted file mode 100644
index 7928cb364331..000000000000
--- a/examples/pylab_examples/psd_demo_complex.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# This is a ported version of a MATLAB example from the signal processing
-# toolbox that showed some difference at one time between Matplotlib's and
-# MATLAB's scaling of the PSD.  This differs from psd_demo3.py in that
-# this uses a complex signal, so we can see that complex PSD's work properly
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.mlab as mlab
-
-fs = 1000
-t = np.linspace(0, 0.3, 301)
-A = np.array([2, 8]).reshape(-1, 1)
-f = np.array([150, 140]).reshape(-1, 1)
-xn = (A * np.exp(2j * np.pi * f * t)).sum(axis=0) + 5 * np.random.randn(*t.shape)
-
-yticks = np.arange(-50, 30, 10)
-xticks = np.arange(-500, 550, 100)
-plt.subplots_adjust(hspace=0.45, wspace=0.3)
-ax = plt.subplot(1, 2, 1)
-
-plt.psd(xn, NFFT=301, Fs=fs, window=mlab.window_none, pad_to=1024,
-        scale_by_freq=True)
-plt.title('Periodogram')
-plt.yticks(yticks)
-plt.xticks(xticks)
-plt.grid(True)
-plt.xlim(-500, 500)
-
-plt.subplot(1, 2, 2, sharex=ax, sharey=ax)
-plt.psd(xn, NFFT=150, Fs=fs, window=mlab.window_none, noverlap=75, pad_to=512,
-        scale_by_freq=True)
-plt.title('Welch')
-plt.xticks(xticks)
-plt.yticks(yticks)
-plt.ylabel('')
-plt.grid(True)
-plt.xlim(-500, 500)
-
-plt.show()
diff --git a/examples/pylab_examples/pstest.py b/examples/pylab_examples/pstest.py
deleted file mode 100644
index 3603013dcb62..000000000000
--- a/examples/pylab_examples/pstest.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-import matplotlib
-matplotlib.use('PS')
-from pylab import *
-
-
-def f(t):
-    s1 = cos(2*pi*t)
-    e1 = exp(-t)
-    return multiply(s1, e1)
-
-t1 = arange(0.0, 5.0, .1)
-t2 = arange(0.0, 5.0, 0.02)
-t3 = arange(0.0, 2.0, 0.01)
-
-figure(1)
-subplot(211)
-l = plot(t1, f(t1), 'k^')
-setp(l, markerfacecolor='k', markeredgecolor='r')
-title('A tale of 2 subplots', fontsize=14, fontname='Courier')
-ylabel('Signal 1', fontsize=12)
-subplot(212)
-l = plot(t1, f(t1), 'k>')
-
-
-ylabel('Signal 2', fontsize=12)
-xlabel('time (s)', fontsize=12)
-
-show()
diff --git a/examples/pylab_examples/pythonic_matplotlib.py b/examples/pylab_examples/pythonic_matplotlib.py
deleted file mode 100644
index 4d0f2a313653..000000000000
--- a/examples/pylab_examples/pythonic_matplotlib.py
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env python
-"""
-Some people prefer to write more pythonic, object oriented, code
-rather than use the pylab interface to matplotlib.  This example shows
-you how.
-
-Unless you are an application developer, I recommend using part of the
-pylab interface, particularly the figure, close, subplot, axes, and
-show commands.  These hide a lot of complexity from you that you don't
-need to see in normal figure creation, like instantiating DPI
-instances, managing the bounding boxes of the figure elements,
-creating and reaslizing GUI windows and embedding figures in them.
-
-
-If you are an application developer and want to embed matplotlib in
-your application, follow the lead of examples/embedding_in_wx.py,
-examples/embedding_in_gtk.py or examples/embedding_in_tk.py.  In this
-case you will want to control the creation of all your figures,
-embedding them in application windows, etc.
-
-If you are a web application developer, you may want to use the
-example in webapp_demo.py, which shows how to use the backend agg
-figure canvase directly, with none of the globals (current figure,
-current axes) that are present in the pylab interface.  Note that
-there is no reason why the pylab interface won't work for web
-application developers, however.
-
-If you see an example in the examples dir written in pylab interface,
-and you want to emulate that using the true python method calls, there
-is an easy mapping.  Many of those examples use 'set' to control
-figure properties.  Here's how to map those commands onto instance
-methods
-
-The syntax of set is
-
-  setp(object or sequence, somestring, attribute)
-
-if called with an object, set calls
-
-  object.set_somestring(attribute)
-
-if called with a sequence, set does
-
-  for object in sequence:
-       object.set_somestring(attribute)
-
-So for your example, if a is your axes object, you can do
-
-  a.set_xticklabels([])
-  a.set_yticklabels([])
-  a.set_xticks([])
-  a.set_yticks([])
-"""
-
-
-from pylab import figure, show
-from numpy import arange, sin, pi
-
-t = arange(0.0, 1.0, 0.01)
-
-fig = figure(1)
-
-ax1 = fig.add_subplot(211)
-ax1.plot(t, sin(2*pi*t))
-ax1.grid(True)
-ax1.set_ylim((-2, 2))
-ax1.set_ylabel('1 Hz')
-ax1.set_title('A sine wave or two')
-
-for label in ax1.get_xticklabels():
-    label.set_color('r')
-
-
-ax2 = fig.add_subplot(212)
-ax2.plot(t, sin(2*2*pi*t))
-ax2.grid(True)
-ax2.set_ylim((-2, 2))
-l = ax2.set_xlabel('Hi mom')
-l.set_color('g')
-l.set_fontsize('large')
-
-show()
diff --git a/examples/pylab_examples/quadmesh_demo.py b/examples/pylab_examples/quadmesh_demo.py
deleted file mode 100644
index 9ffea6bd5b89..000000000000
--- a/examples/pylab_examples/quadmesh_demo.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/env python
-"""
-pcolormesh uses a QuadMesh, a faster generalization of pcolor, but
-with some restrictions.
-
-This demo illustrates a bug in quadmesh with masked data.
-"""
-
-import numpy as np
-from matplotlib.pyplot import figure, show, savefig
-from matplotlib import cm, colors
-from numpy import ma
-
-n = 12
-x = np.linspace(-1.5, 1.5, n)
-y = np.linspace(-1.5, 1.5, n*2)
-X, Y = np.meshgrid(x, y)
-Qx = np.cos(Y) - np.cos(X)
-Qz = np.sin(Y) + np.sin(X)
-Qx = (Qx + 1.1)
-Z = np.sqrt(X**2 + Y**2)/5
-Z = (Z - Z.min()) / (Z.max() - Z.min())
-
-# The color array can include masked values:
-Zm = ma.masked_where(np.fabs(Qz) < 0.5*np.amax(Qz), Z)
-
-
-fig = figure()
-ax = fig.add_subplot(121)
-ax.set_axis_bgcolor("#bdb76b")
-ax.pcolormesh(Qx, Qz, Z, shading='gouraud')
-ax.set_title('Without masked values')
-
-ax = fig.add_subplot(122)
-ax.set_axis_bgcolor("#bdb76b")
-#  You can control the color of the masked region:
-#cmap = cm.jet
-#cmap.set_bad('r', 1.0)
-#ax.pcolormesh(Qx,Qz,Zm, cmap=cmap)
-#  Or use the default, which is transparent:
-col = ax.pcolormesh(Qx, Qz, Zm, shading='gouraud')
-ax.set_title('With masked values')
-
-
-show()
diff --git a/examples/pylab_examples/quiver_demo.py b/examples/pylab_examples/quiver_demo.py
deleted file mode 100644
index 1cfcb67cb753..000000000000
--- a/examples/pylab_examples/quiver_demo.py
+++ /dev/null
@@ -1,83 +0,0 @@
-'''
-Demonstration of quiver and quiverkey functions. This is using the
-new version coming from the code in quiver.py.
-
-Known problem: the plot autoscaling does not take into account
-the arrows, so those on the boundaries are often out of the picture.
-This is *not* an easy problem to solve in a perfectly general way.
-The workaround is to manually expand the axes.
-
-'''
-from pylab import *
-from numpy import ma
-
-X, Y = meshgrid(arange(0, 2*pi, .2), arange(0, 2*pi, .2))
-U = cos(X)
-V = sin(Y)
-
-#1
-figure()
-Q = quiver(U, V)
-qk = quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$', labelpos='W',
-               fontproperties={'weight': 'bold'})
-l, r, b, t = axis()
-dx, dy = r - l, t - b
-axis([l - 0.05*dx, r + 0.05*dx, b - 0.05*dy, t + 0.05*dy])
-
-title('Minimal arguments, no kwargs')
-
-#2
-figure()
-Q = quiver(X, Y, U, V, units='width')
-qk = quiverkey(Q, 0.9, 0.95, 2, r'$2 \frac{m}{s}$',
-               labelpos='E',
-               coordinates='figure',
-               fontproperties={'weight': 'bold'})
-axis([-1, 7, -1, 7])
-title('scales with plot width, not view')
-
-#3
-figure()
-Q = quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
-           pivot='mid', color='r', units='inches')
-qk = quiverkey(Q, 0.5, 0.03, 1, r'$1 \frac{m}{s}$', fontproperties={'weight': 'bold'})
-plot(X[::3, ::3], Y[::3, ::3], 'k.')
-axis([-1, 7, -1, 7])
-title("pivot='mid'; every third arrow; units='inches'")
-
-#4
-figure()
-M = sqrt(pow(U, 2) + pow(V, 2))
-Q = quiver(X, Y, U, V, M, units='x', pivot='tip', width=0.022, scale=1/0.15)
-qk = quiverkey(Q, 0.9, 1.05, 1, r'$1 \frac{m}{s}$',
-               labelpos='E',
-               fontproperties={'weight': 'bold'})
-plot(X, Y, 'k.')
-axis([-1, 7, -1, 7])
-title("scales with x view; pivot='tip'")
-
-#5
-figure()
-Q = quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
-           color='r', units='x',
-           linewidths=(2,), edgecolors=('k'), headaxislength=5)
-qk = quiverkey(Q, 0.5, 0.03, 1, r'$1 \frac{m}{s}$', fontproperties={'weight': 'bold'})
-axis([-1, 7, -1, 7])
-title("triangular head; scale with x view; black edges")
-
-#6
-figure()
-M = zeros(U.shape, dtype='bool')
-M[U.shape[0]/3:2*U.shape[0]/3, U.shape[1]/3:2*U.shape[1]/3] = True
-U = ma.masked_array(U, mask=M)
-V = ma.masked_array(V, mask=M)
-Q = quiver(U, V)
-qk = quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$', labelpos='W',
-               fontproperties={'weight': 'bold'})
-l, r, b, t = axis()
-dx, dy = r - l, t - b
-axis([l - 0.05*dx, r + 0.05*dx, b - 0.05*dy, t + 0.05*dy])
-title('Minimal arguments, no kwargs - masked values')
-
-
-show()
diff --git a/examples/pylab_examples/scatter_custom_symbol.py b/examples/pylab_examples/scatter_custom_symbol.py
deleted file mode 100644
index abd2ebc4381c..000000000000
--- a/examples/pylab_examples/scatter_custom_symbol.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import matplotlib.pyplot as plt
-from numpy import arange, pi, cos, sin
-from numpy.random import rand
-
-# unit area ellipse
-rx, ry = 3., 1.
-area = rx * ry * pi
-theta = arange(0, 2*pi + 0.01, 0.1)
-verts = list(zip(rx/area*cos(theta), ry/area*sin(theta)))
-
-x, y, s, c = rand(4, 30)
-s *= 10**2.
-
-fig, ax = plt.subplots()
-ax.scatter(x, y, s, c, marker=None, verts=verts)
-
-plt.show()
diff --git a/examples/pylab_examples/scatter_demo2.py b/examples/pylab_examples/scatter_demo2.py
deleted file mode 100644
index 2814c360073d..000000000000
--- a/examples/pylab_examples/scatter_demo2.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""
-Demo of scatter plot with varying marker colors and sizes.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-
-# Load a numpy record array from yahoo csv data with fields date,
-# open, close, volume, adj_close from the mpl-data/example directory.
-# The record array stores python datetime.date as an object array in
-# the date column
-datafile = cbook.get_sample_data('goog.npy')
-price_data = np.load(datafile).view(np.recarray)
-price_data = price_data[-250:]  # get the most recent 250 trading days
-
-delta1 = np.diff(price_data.adj_close)/price_data.adj_close[:-1]
-
-# Marker size in units of points^2
-volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2
-close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2]
-
-fig, ax = plt.subplots()
-ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)
-
-ax.set_xlabel(r'$\Delta_i$', fontsize=20)
-ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=20)
-ax.set_title('Volume and percent change')
-
-ax.grid(True)
-fig.tight_layout()
-
-plt.show()
diff --git a/examples/pylab_examples/scatter_hist.py b/examples/pylab_examples/scatter_hist.py
deleted file mode 100644
index a271cf729e61..000000000000
--- a/examples/pylab_examples/scatter_hist.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.ticker import NullFormatter
-
-# the random data
-x = np.random.randn(1000)
-y = np.random.randn(1000)
-
-nullfmt = NullFormatter()         # no labels
-
-# definitions for the axes
-left, width = 0.1, 0.65
-bottom, height = 0.1, 0.65
-bottom_h = left_h = left + width + 0.02
-
-rect_scatter = [left, bottom, width, height]
-rect_histx = [left, bottom_h, width, 0.2]
-rect_histy = [left_h, bottom, 0.2, height]
-
-# start with a rectangular Figure
-plt.figure(1, figsize=(8, 8))
-
-axScatter = plt.axes(rect_scatter)
-axHistx = plt.axes(rect_histx)
-axHisty = plt.axes(rect_histy)
-
-# no labels
-axHistx.xaxis.set_major_formatter(nullfmt)
-axHisty.yaxis.set_major_formatter(nullfmt)
-
-# the scatter plot:
-axScatter.scatter(x, y)
-
-# now determine nice limits by hand:
-binwidth = 0.25
-xymax = np.max([np.max(np.fabs(x)), np.max(np.fabs(y))])
-lim = (int(xymax/binwidth) + 1) * binwidth
-
-axScatter.set_xlim((-lim, lim))
-axScatter.set_ylim((-lim, lim))
-
-bins = np.arange(-lim, lim + binwidth, binwidth)
-axHistx.hist(x, bins=bins)
-axHisty.hist(y, bins=bins, orientation='horizontal')
-
-axHistx.set_xlim(axScatter.get_xlim())
-axHisty.set_ylim(axScatter.get_ylim())
-
-plt.show()
diff --git a/examples/pylab_examples/scatter_masked.py b/examples/pylab_examples/scatter_masked.py
deleted file mode 100644
index a19805319164..000000000000
--- a/examples/pylab_examples/scatter_masked.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-N = 100
-r0 = 0.6
-x = 0.9*rand(N)
-y = 0.9*rand(N)
-area = pi*(10 * rand(N))**2  # 0 to 10 point radiuses
-c = sqrt(area)
-r = sqrt(x*x + y*y)
-area1 = ma.masked_where(r < r0, area)
-area2 = ma.masked_where(r >= r0, area)
-scatter(x, y, s=area1, marker='^', c=c, hold='on')
-scatter(x, y, s=area2, marker='o', c=c)
-# Show the boundary between the regions:
-theta = arange(0, pi/2, 0.01)
-plot(r0*cos(theta), r0*sin(theta))
-
-show()
diff --git a/examples/pylab_examples/scatter_profile.py b/examples/pylab_examples/scatter_profile.py
deleted file mode 100755
index 4bf68dbdd76c..000000000000
--- a/examples/pylab_examples/scatter_profile.py
+++ /dev/null
@@ -1,24 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-"""
-N       Classic     Base renderer    Ext renderer
-20       0.22           0.14            0.14
-100      0.16           0.14            0.13
-1000     0.45           0.26            0.17
-10000    3.30           1.31            0.53
-50000    19.30          6.53            1.98
-"""
-from __future__ import print_function
-import pylab
-
-import time
-
-
-for N in (20, 100, 1000, 10000, 50000):
-    tstart = time.time()
-    x = 0.9*pylab.rand(N)
-    y = 0.9*pylab.rand(N)
-    s = 20*pylab.rand(N)
-    pylab.scatter(x, y, s)
-    print('%d symbols in %1.2f s' % (N, time.time() - tstart))
diff --git a/examples/pylab_examples/scatter_star_poly.py b/examples/pylab_examples/scatter_star_poly.py
deleted file mode 100644
index 68eb33b32b89..000000000000
--- a/examples/pylab_examples/scatter_star_poly.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x = np.random.rand(10)
-y = np.random.rand(10)
-z = np.sqrt(x**2 + y**2)
-
-plt.subplot(321)
-plt.scatter(x, y, s=80, c=z, marker=">")
-
-plt.subplot(322)
-plt.scatter(x, y, s=80, c=z, marker=(5, 0))
-
-verts = list(zip([-1., 1., 1., -1.], [-1., -1., 1., -1.]))
-plt.subplot(323)
-plt.scatter(x, y, s=80, c=z, marker=(verts, 0))
-# equivalent:
-#plt.scatter(x,y,s=80, c=z, marker=None, verts=verts)
-
-plt.subplot(324)
-plt.scatter(x, y, s=80, c=z, marker=(5, 1))
-
-plt.subplot(325)
-plt.scatter(x, y, s=80, c=z, marker='+')
-
-plt.subplot(326)
-plt.scatter(x, y, s=80, c=z, marker=(5, 2))
-
-plt.show()
diff --git a/examples/pylab_examples/scatter_symbol.py b/examples/pylab_examples/scatter_symbol.py
deleted file mode 100644
index bc805afbed0e..000000000000
--- a/examples/pylab_examples/scatter_symbol.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from matplotlib import pyplot as plt
-import numpy as np
-import matplotlib
-
-x = np.arange(0.0, 50.0, 2.0)
-y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
-s = np.random.rand(*x.shape) * 800 + 500
-
-plt.scatter(x, y, s, c="g", alpha=0.5, marker=r'$\clubsuit$',
-            label="Luck")
-plt.xlabel("Leprechauns")
-plt.ylabel("Gold")
-plt.legend(loc=2)
-plt.show()
diff --git a/examples/pylab_examples/set_and_get.py b/examples/pylab_examples/set_and_get.py
deleted file mode 100644
index 0ecb14d6c7ef..000000000000
--- a/examples/pylab_examples/set_and_get.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""
-
-MATLAB and pylab allow you to use setp and get to set and get
-object properties, as well as to do introspection on the object
-
-set
-    To set the linestyle of a line to be dashed, you can do
-
-      >>> line, = plot([1,2,3])
-      >>> setp(line, linestyle='--')
-
-    If you want to know the valid types of arguments, you can provide the
-    name of the property you want to set without a value
-
-      >>> setp(line, 'linestyle')
-          linestyle: [ '-' | '--' | '-.' | ':' | 'steps' | 'None' ]
-
-    If you want to see all the properties that can be set, and their
-    possible values, you can do
-
-        >>> setp(line)
-
-    set operates on a single instance or a list of instances.  If you are
-    in query mode introspecting the possible values, only the first
-    instance in the sequence is used.  When actually setting values, all
-    the instances will be set.  e.g., suppose you have a list of two lines,
-    the following will make both lines thicker and red
-
-        >>> x = arange(0,1.0,0.01)
-        >>> y1 = sin(2*pi*x)
-        >>> y2 = sin(4*pi*x)
-        >>> lines = plot(x, y1, x, y2)
-        >>> setp(lines, linewidth=2, color='r')
-
-
-get:
-
-    get returns the value of a given attribute.  You can use get to query
-    the value of a single attribute
-
-        >>> getp(line, 'linewidth')
-            0.5
-
-    or all the attribute/value pairs
-
-    >>> getp(line)
-        aa = True
-        alpha = 1.0
-        antialiased = True
-        c = b
-        clip_on = True
-        color = b
-        ... long listing skipped ...
-
-Aliases:
-
-  To reduce keystrokes in interactive mode, a number of properties
-  have short aliases, e.g., 'lw' for 'linewidth' and 'mec' for
-  'markeredgecolor'.  When calling set or get in introspection mode,
-  these properties will be listed as 'fullname or aliasname', as in
-
-
-
-
-"""
-
-from __future__ import print_function
-from pylab import *
-
-
-x = arange(0, 1.0, 0.01)
-y1 = sin(2*pi*x)
-y2 = sin(4*pi*x)
-lines = plot(x, y1, x, y2)
-l1, l2 = lines
-setp(lines, linestyle='--')       # set both to dashed
-setp(l1, linewidth=2, color='r')  # line1 is thick and red
-setp(l2, linewidth=1, color='g')  # line2 is thicker and green
-
-
-print('Line setters')
-setp(l1)
-print('Line getters')
-getp(l1)
-
-print('Rectangle setters')
-setp(gca().patch)
-print('Rectangle getters')
-getp(gca().patch)
-
-t = title('Hi mom')
-print('Text setters')
-setp(t)
-print('Text getters')
-getp(t)
-
-show()
diff --git a/examples/pylab_examples/shading_example.py b/examples/pylab_examples/shading_example.py
deleted file mode 100644
index 12ce6b379699..000000000000
--- a/examples/pylab_examples/shading_example.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.colors import LightSource
-from matplotlib.cbook import get_sample_data
-
-# Example showing how to make shaded relief plots
-# like Mathematica
-# (http://reference.wolfram.com/mathematica/ref/ReliefPlot.html)
-# or Generic Mapping Tools
-# (http://gmt.soest.hawaii.edu/gmt/doc/gmt/html/GMT_Docs/node145.html)
-
-
-def main():
-    # Test data
-    x, y = np.mgrid[-5:5:0.05, -5:5:0.05]
-    z = 5 * (np.sqrt(x**2 + y**2) + np.sin(x**2 + y**2))
-
-    filename = get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
-    with np.load(filename) as dem:
-        elev = dem['elevation']
-
-    fig = compare(z, plt.cm.copper)
-    fig.suptitle('HSV Blending Looks Best with Smooth Surfaces', y=0.95)
-
-    fig = compare(elev, plt.cm.gist_earth, ve=0.05)
-    fig.suptitle('Overlay Blending Looks Best with Rough Surfaces', y=0.95)
-
-    plt.show()
-
-
-def compare(z, cmap, ve=1):
-    # Create subplots and hide ticks
-    fig, axes = plt.subplots(ncols=2, nrows=2)
-    for ax in axes.flat:
-        ax.set(xticks=[], yticks=[])
-
-    # Illuminate the scene from the northwest
-    ls = LightSource(azdeg=315, altdeg=45)
-
-    axes[0, 0].imshow(z, cmap=cmap)
-    axes[0, 0].set(xlabel='Colormapped Data')
-
-    axes[0, 1].imshow(ls.hillshade(z, vert_exag=ve), cmap='gray')
-    axes[0, 1].set(xlabel='Illumination Intensity')
-
-    rgb = ls.shade(z, cmap=cmap, vert_exag=ve, blend_mode='hsv')
-    axes[1, 0].imshow(rgb)
-    axes[1, 0].set(xlabel='Blend Mode: "hsv" (default)')
-
-    rgb = ls.shade(z, cmap=cmap, vert_exag=ve, blend_mode='overlay')
-    axes[1, 1].imshow(rgb)
-    axes[1, 1].set(xlabel='Blend Mode: "overlay"')
-
-    return fig
-
-if __name__ == '__main__':
-    main()
diff --git a/examples/pylab_examples/shared_axis_across_figures.py b/examples/pylab_examples/shared_axis_across_figures.py
deleted file mode 100644
index b4cc8c70d35c..000000000000
--- a/examples/pylab_examples/shared_axis_across_figures.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""
-connect the data limits on the axes in one figure with the axes in
-another.  This is not the right way to do this for two axes in the
-same figure -- use the sharex and sharey property in that case
-"""
-# -*- noplot -*-
-import numpy
-from pylab import figure, show
-
-fig1 = figure()
-fig2 = figure()
-
-ax1 = fig1.add_subplot(111)
-ax2 = fig2.add_subplot(111, sharex=ax1, sharey=ax1)
-
-ax1.plot(numpy.random.rand(100), 'o')
-ax2.plot(numpy.random.rand(100), 'o')
-
-# In the latest release, it is no longer necessary to do anything
-# special to share axes across figures:
-
-# ax1.sharex_foreign(ax2)
-# ax2.sharex_foreign(ax1)
-
-# ax1.sharey_foreign(ax2)
-# ax2.sharey_foreign(ax1)
-
-show()
diff --git a/examples/pylab_examples/shared_axis_demo.py b/examples/pylab_examples/shared_axis_demo.py
deleted file mode 100644
index e80478ea5d3f..000000000000
--- a/examples/pylab_examples/shared_axis_demo.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-You can share the x or y axis limits for one axis with another by
-passing an axes instance as a sharex or sharey kwarg.
-
-Changing the axis limits on one axes will be reflected automatically
-in the other, and vice-versa, so when you navigate with the toolbar
-the axes will follow each other on their shared axes.  Ditto for
-changes in the axis scaling (e.g., log vs linear).  However, it is
-possible to have differences in tick labeling, e.g., you can selectively
-turn off the tick labels on one axes.
-
-The example below shows how to customize the tick labels on the
-various axes.  Shared axes share the tick locator, tick formatter,
-view limits, and transformation (e.g., log, linear).  But the ticklabels
-themselves do not share properties.  This is a feature and not a bug,
-because you may want to make the tick labels smaller on the upper
-axes, e.g., in the example below.
-
-If you want to turn off the ticklabels for a given axes (e.g., on
-subplot(211) or subplot(212), you cannot do the standard trick
-
-   setp(ax2, xticklabels=[])
-
-because this changes the tick Formatter, which is shared among all
-axes.  But you can alter the visibility of the labels, which is a
-property
-
-  setp( ax2.get_xticklabels(), visible=False)
-
-
-"""
-from pylab import *
-
-t = arange(0.01, 5.0, 0.01)
-s1 = sin(2*pi*t)
-s2 = exp(-t)
-s3 = sin(4*pi*t)
-ax1 = subplot(311)
-plot(t, s1)
-setp(ax1.get_xticklabels(), fontsize=6)
-
-# share x only
-ax2 = subplot(312, sharex=ax1)
-plot(t, s2)
-# make these tick labels invisible
-setp(ax2.get_xticklabels(), visible=False)
-
-# share x and y
-ax3 = subplot(313, sharex=ax1, sharey=ax1)
-plot(t, s3)
-xlim(0.01, 5.0)
-show()
diff --git a/examples/pylab_examples/simple_plot.py b/examples/pylab_examples/simple_plot.py
deleted file mode 100644
index 157e6e4851aa..000000000000
--- a/examples/pylab_examples/simple_plot.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from pylab import *
-
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-plot(t, s)
-
-xlabel('time (s)')
-ylabel('voltage (mV)')
-title('About as simple as it gets, folks')
-grid(True)
-savefig("test.png")
-show()
diff --git a/examples/pylab_examples/simple_plot_fps.py b/examples/pylab_examples/simple_plot_fps.py
deleted file mode 100755
index 6ecfd8c53d4a..000000000000
--- a/examples/pylab_examples/simple_plot_fps.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-
-"""
-Example: simple line plot.
-Show how to make and save a simple line plot with labels, title and grid
-"""
-# -*- noplot -*-
-from __future__ import print_function
-from pylab import *
-
-ion()
-
-t = arange(0.0, 1.0 + 0.001, 0.001)
-s = cos(2*2*pi*t)
-plot(t, s, '-', lw=2)
-
-xlabel('time (s)')
-ylabel('voltage (mV)')
-title('About as simple as it gets, folks')
-grid(True)
-
-import time
-
-frames = 100.0
-t = time.time()
-c = time.clock()
-for i in range(int(frames)):
-    part = i / frames
-    axis([0.0, 1.0 - part, -1.0 + part, 1.0 - part])
-wallclock = time.time() - t
-user = time.clock() - c
-print("wallclock:", wallclock)
-print("user:", user)
-print("fps:", frames / wallclock)
diff --git a/examples/pylab_examples/specgram_demo.py b/examples/pylab_examples/specgram_demo.py
deleted file mode 100644
index edfc4c38fbaf..000000000000
--- a/examples/pylab_examples/specgram_demo.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-dt = 0.0005
-t = arange(0.0, 20.0, dt)
-s1 = sin(2*pi*100*t)
-s2 = 2*sin(2*pi*400*t)
-
-# create a transient "chirp"
-mask = where(logical_and(t > 10, t < 12), 1.0, 0.0)
-s2 = s2 * mask
-
-# add some noise into the mix
-nse = 0.01*randn(len(t))
-
-x = s1 + s2 + nse  # the signal
-NFFT = 1024       # the length of the windowing segments
-Fs = int(1.0/dt)  # the sampling frequency
-
-# Pxx is the segments x freqs array of instantaneous power, freqs is
-# the frequency vector, bins are the centers of the time bins in which
-# the power is computed, and im is the matplotlib.image.AxesImage
-# instance
-
-ax1 = subplot(211)
-plot(t, x)
-subplot(212, sharex=ax1)
-Pxx, freqs, bins, im = specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900,
-                                cmap=cm.gist_heat)
-show()
diff --git a/examples/pylab_examples/spectrum_demo.py b/examples/pylab_examples/spectrum_demo.py
deleted file mode 100644
index 8278e1900e96..000000000000
--- a/examples/pylab_examples/spectrum_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-# python
-
-from pylab import *
-
-dt = 0.01
-Fs = 1/dt
-t = arange(0, 10, dt)
-nse = randn(len(t))
-r = exp(-t/0.05)
-
-cnse = convolve(nse, r)*dt
-cnse = cnse[:len(t)]
-s = 0.1*sin(2*pi*t) + cnse
-
-subplot(3, 2, 1)
-plot(t, s)
-
-subplot(3, 2, 3)
-magnitude_spectrum(s, Fs=Fs)
-
-subplot(3, 2, 4)
-magnitude_spectrum(s, Fs=Fs, scale='dB')
-
-subplot(3, 2, 5)
-angle_spectrum(s, Fs=Fs)
-
-subplot(3, 2, 6)
-phase_spectrum(s, Fs=Fs)
-
-show()
diff --git a/examples/pylab_examples/spine_placement_demo.py b/examples/pylab_examples/spine_placement_demo.py
deleted file mode 100644
index 6f955a80aa13..000000000000
--- a/examples/pylab_examples/spine_placement_demo.py
+++ /dev/null
@@ -1,101 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-fig = plt.figure()
-x = np.linspace(-np.pi, np.pi, 100)
-y = 2*np.sin(x)
-
-ax = fig.add_subplot(2, 2, 1)
-ax.set_title('centered spines')
-ax.plot(x, y)
-ax.spines['left'].set_position('center')
-ax.spines['right'].set_color('none')
-ax.spines['bottom'].set_position('center')
-ax.spines['top'].set_color('none')
-ax.spines['left'].set_smart_bounds(True)
-ax.spines['bottom'].set_smart_bounds(True)
-ax.xaxis.set_ticks_position('bottom')
-ax.yaxis.set_ticks_position('left')
-
-ax = fig.add_subplot(2, 2, 2)
-ax.set_title('zeroed spines')
-ax.plot(x, y)
-ax.spines['left'].set_position('zero')
-ax.spines['right'].set_color('none')
-ax.spines['bottom'].set_position('zero')
-ax.spines['top'].set_color('none')
-ax.spines['left'].set_smart_bounds(True)
-ax.spines['bottom'].set_smart_bounds(True)
-ax.xaxis.set_ticks_position('bottom')
-ax.yaxis.set_ticks_position('left')
-
-ax = fig.add_subplot(2, 2, 3)
-ax.set_title('spines at axes (0.6, 0.1)')
-ax.plot(x, y)
-ax.spines['left'].set_position(('axes', 0.6))
-ax.spines['right'].set_color('none')
-ax.spines['bottom'].set_position(('axes', 0.1))
-ax.spines['top'].set_color('none')
-ax.spines['left'].set_smart_bounds(True)
-ax.spines['bottom'].set_smart_bounds(True)
-ax.xaxis.set_ticks_position('bottom')
-ax.yaxis.set_ticks_position('left')
-
-ax = fig.add_subplot(2, 2, 4)
-ax.set_title('spines at data (1, 2)')
-ax.plot(x, y)
-ax.spines['left'].set_position(('data', 1))
-ax.spines['right'].set_color('none')
-ax.spines['bottom'].set_position(('data', 2))
-ax.spines['top'].set_color('none')
-ax.spines['left'].set_smart_bounds(True)
-ax.spines['bottom'].set_smart_bounds(True)
-ax.xaxis.set_ticks_position('bottom')
-ax.yaxis.set_ticks_position('left')
-# ----------------------------------------------------
-
-
-def adjust_spines(ax, spines):
-    for loc, spine in ax.spines.items():
-        if loc in spines:
-            spine.set_position(('outward', 10))  # outward by 10 points
-            spine.set_smart_bounds(True)
-        else:
-            spine.set_color('none')  # don't draw spine
-
-    # turn off ticks where there is no spine
-    if 'left' in spines:
-        ax.yaxis.set_ticks_position('left')
-    else:
-        # no yaxis ticks
-        ax.yaxis.set_ticks([])
-
-    if 'bottom' in spines:
-        ax.xaxis.set_ticks_position('bottom')
-    else:
-        # no xaxis ticks
-        ax.xaxis.set_ticks([])
-
-fig = plt.figure()
-
-x = np.linspace(0, 2*np.pi, 100)
-y = 2*np.sin(x)
-
-ax = fig.add_subplot(2, 2, 1)
-ax.plot(x, y, clip_on=False)
-adjust_spines(ax, ['left'])
-
-ax = fig.add_subplot(2, 2, 2)
-ax.plot(x, y, clip_on=False)
-adjust_spines(ax, [])
-
-ax = fig.add_subplot(2, 2, 3)
-ax.plot(x, y, clip_on=False)
-adjust_spines(ax, ['left', 'bottom'])
-
-ax = fig.add_subplot(2, 2, 4)
-ax.plot(x, y, clip_on=False)
-adjust_spines(ax, ['bottom'])
-
-plt.show()
diff --git a/examples/pylab_examples/spy_demos.py b/examples/pylab_examples/spy_demos.py
deleted file mode 100644
index 2b80b3526063..000000000000
--- a/examples/pylab_examples/spy_demos.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Plot the sparsity pattern of arrays
-"""
-
-from matplotlib.pyplot import figure, show
-import numpy
-
-fig = figure()
-ax1 = fig.add_subplot(221)
-ax2 = fig.add_subplot(222)
-ax3 = fig.add_subplot(223)
-ax4 = fig.add_subplot(224)
-
-x = numpy.random.randn(20, 20)
-x[5] = 0.
-x[:, 12] = 0.
-
-ax1.spy(x, markersize=5)
-ax2.spy(x, precision=0.1, markersize=5)
-
-ax3.spy(x)
-ax4.spy(x, precision=0.1)
-
-show()
diff --git a/examples/pylab_examples/stackplot_demo.py b/examples/pylab_examples/stackplot_demo.py
deleted file mode 100644
index f10ced74a251..000000000000
--- a/examples/pylab_examples/stackplot_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy as np
-from matplotlib import pyplot as plt
-
-
-def fnx():
-    return np.random.randint(5, 50, 10)
-
-y = np.row_stack((fnx(), fnx(), fnx()))
-x = np.arange(10)
-
-y1, y2, y3 = fnx(), fnx(), fnx()
-
-fig, ax = plt.subplots()
-ax.stackplot(x, y)
-plt.show()
-
-fig, ax = plt.subplots()
-ax.stackplot(x, y1, y2, y3)
-plt.show()
diff --git a/examples/pylab_examples/stackplot_demo2.py b/examples/pylab_examples/stackplot_demo2.py
deleted file mode 100644
index 844a9b11f808..000000000000
--- a/examples/pylab_examples/stackplot_demo2.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-np.random.seed(0)
-
-
-def layers(n, m):
-    """
-    Return *n* random Gaussian mixtures, each of length *m*.
-    """
-    def bump(a):
-        x = 1 / (.1 + np.random.random())
-        y = 2 * np.random.random() - .5
-        z = 10 / (.1 + np.random.random())
-        for i in range(m):
-            w = (i / float(m) - y) * z
-            a[i] += x * np.exp(-w * w)
-    a = np.zeros((m, n))
-    for i in range(n):
-        for j in range(5):
-            bump(a[:, i])
-    return a
-
-d = layers(3, 100)
-
-plt.subplots()
-plt.stackplot(range(100), d.T, baseline='wiggle')
-plt.show()
diff --git a/examples/pylab_examples/stem_plot.py b/examples/pylab_examples/stem_plot.py
deleted file mode 100644
index 29e4f92f3a22..000000000000
--- a/examples/pylab_examples/stem_plot.py
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-x = linspace(0.1, 2*pi, 10)
-markerline, stemlines, baseline = stem(x, cos(x), '-.')
-setp(markerline, 'markerfacecolor', 'b')
-setp(baseline, 'color', 'r', 'linewidth', 2)
-
-show()
diff --git a/examples/pylab_examples/step_demo.py b/examples/pylab_examples/step_demo.py
deleted file mode 100644
index 5c826192bf7f..000000000000
--- a/examples/pylab_examples/step_demo.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import numpy as np
-from numpy import ma
-from matplotlib.pyplot import step, legend, xlim, ylim, show
-
-x = np.arange(1, 7, 0.4)
-y0 = np.sin(x)
-y = y0.copy() + 2.5
-
-step(x, y, label='pre (default)')
-
-y -= 0.5
-step(x, y, where='mid', label='mid')
-
-y -= 0.5
-step(x, y, where='post', label='post')
-
-y = ma.masked_where((y0 > -0.15) & (y0 < 0.15), y - 0.5)
-step(x, y, label='masked (pre)')
-
-legend()
-
-xlim(0, 7)
-ylim(-0.5, 4)
-
-show()
diff --git a/examples/pylab_examples/stix_fonts_demo.py b/examples/pylab_examples/stix_fonts_demo.py
deleted file mode 100755
index e4fb20821452..000000000000
--- a/examples/pylab_examples/stix_fonts_demo.py
+++ /dev/null
@@ -1,60 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import unicode_literals
-
-import os
-import sys
-import re
-
-import gc
-
-stests = [
-    r'$\mathcircled{123} \mathrm{\mathcircled{123}} \mathbf{\mathcircled{123}}$',
-    r'$\mathsf{Sans \Omega} \mathrm{\mathsf{Sans \Omega}} \mathbf{\mathsf{Sans \Omega}}$',
-    r'$\mathtt{Monospace}$',
-    r'$\mathcal{CALLIGRAPHIC}$',
-    r'$\mathbb{Blackboard \pi}$',
-    r'$\mathrm{\mathbb{Blackboard \pi}}$',
-    r'$\mathbf{\mathbb{Blackboard \pi}}$',
-    r'$\mathfrak{Fraktur} \mathbf{\mathfrak{Fraktur}}$',
-    r'$\mathscr{Script}$']
-
-if sys.maxunicode > 0xffff:
-    s = r'Direct Unicode: $\u23ce \mathrm{\ue0f2 \U0001D538}$'
-
-from pylab import *
-
-
-def doall():
-    tests = stests
-
-    figure(figsize=(8, (len(tests) * 1) + 2))
-    plot([0, 0], 'r')
-    grid(False)
-    axis([0, 3, -len(tests), 0])
-    yticks(arange(len(tests)) * -1)
-    for i, s in enumerate(tests):
-        #print(i, s.encode("ascii", "backslashreplace"))
-        text(0.1, -i, s, fontsize=32)
-
-    savefig('stix_fonts_example')
-    #close('all')
-    show()
-
-if '--latex' in sys.argv:
-    fd = open("stix_fonts_examples.ltx", "w")
-    fd.write("\\documentclass{article}\n")
-    fd.write("\\begin{document}\n")
-    fd.write("\\begin{enumerate}\n")
-
-    for i, s in enumerate(stests):
-        s = re.sub(r"(?<!\\)\$", "$$", s)
-        fd.write("\\item %s\n" % s)
-
-    fd.write("\\end{enumerate}\n")
-    fd.write("\\end{document}\n")
-    fd.close()
-
-    os.system("pdflatex stix_fonts_examples.ltx")
-else:
-    doall()
diff --git a/examples/pylab_examples/stock_demo.py b/examples/pylab_examples/stock_demo.py
deleted file mode 100644
index bb8a9799efe0..000000000000
--- a/examples/pylab_examples/stock_demo.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/usr/bin/env python
-
-from matplotlib.ticker import MultipleLocator
-from pylab import *
-from data_helper import get_two_stock_data
-
-d1, p1, d2, p2 = get_two_stock_data()
-
-fig, ax = subplots()
-lines = plot(d1, p1, 'bs', d2, p2, 'go')
-xlabel('Days')
-ylabel('Normalized price')
-xlim(0, 3)
-ax.xaxis.set_major_locator(MultipleLocator(1))
-
-title('INTC vs AAPL')
-legend(('INTC', 'AAPL'))
-
-show()
diff --git a/examples/pylab_examples/subplot_demo.py b/examples/pylab_examples/subplot_demo.py
deleted file mode 100644
index 6e9598eab725..000000000000
--- a/examples/pylab_examples/subplot_demo.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Simple demo with multiple subplots.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x1 = np.linspace(0.0, 5.0)
-x2 = np.linspace(0.0, 2.0)
-
-y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
-y2 = np.cos(2 * np.pi * x2)
-
-plt.subplot(2, 1, 1)
-plt.plot(x1, y1, 'ko-')
-plt.title('A tale of 2 subplots')
-plt.ylabel('Damped oscillation')
-
-plt.subplot(2, 1, 2)
-plt.plot(x2, y2, 'r.-')
-plt.xlabel('time (s)')
-plt.ylabel('Undamped')
-
-plt.show()
diff --git a/examples/pylab_examples/subplot_toolbar.py b/examples/pylab_examples/subplot_toolbar.py
deleted file mode 100644
index c318ffb741f4..000000000000
--- a/examples/pylab_examples/subplot_toolbar.py
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/usr/bin/env python
-
-from pylab import *
-
-fig = figure()
-subplot(221)
-imshow(rand(100, 100))
-subplot(222)
-imshow(rand(100, 100))
-subplot(223)
-imshow(rand(100, 100))
-subplot(224)
-imshow(rand(100, 100))
-
-subplot_tool()
-show()
diff --git a/examples/pylab_examples/subplots_adjust.py b/examples/pylab_examples/subplots_adjust.py
deleted file mode 100644
index c78371680b13..000000000000
--- a/examples/pylab_examples/subplots_adjust.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from pylab import *
-
-
-subplot(211)
-imshow(rand(100, 100), cmap=cm.BuPu_r)
-subplot(212)
-imshow(rand(100, 100), cmap=cm.BuPu_r)
-
-subplots_adjust(bottom=0.1, right=0.8, top=0.9)
-cax = axes([0.85, 0.1, 0.075, 0.8])
-colorbar(cax=cax)
-show()
diff --git a/examples/pylab_examples/subplots_demo.py b/examples/pylab_examples/subplots_demo.py
deleted file mode 100644
index dac9e173587b..000000000000
--- a/examples/pylab_examples/subplots_demo.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""Examples illustrating the use of plt.subplots().
-
-This function creates a figure and a grid of subplots with a single call, while
-providing reasonable control over how the individual plots are created.  For
-very refined tuning of subplot creation, you can still use add_subplot()
-directly on a new figure.
-"""
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-# Simple data to display in various forms
-x = np.linspace(0, 2 * np.pi, 400)
-y = np.sin(x ** 2)
-
-plt.close('all')
-
-# Just a figure and one subplot
-f, ax = plt.subplots()
-ax.plot(x, y)
-ax.set_title('Simple plot')
-
-# Two subplots, the axes array is 1-d
-f, axarr = plt.subplots(2, sharex=True)
-axarr[0].plot(x, y)
-axarr[0].set_title('Sharing X axis')
-axarr[1].scatter(x, y)
-
-# Two subplots, unpack the axes array immediately
-f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
-ax1.plot(x, y)
-ax1.set_title('Sharing Y axis')
-ax2.scatter(x, y)
-
-# Three subplots sharing both x/y axes
-f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
-ax1.plot(x, y)
-ax1.set_title('Sharing both axes')
-ax2.scatter(x, y)
-ax3.scatter(x, 2 * y ** 2 - 1, color='r')
-# Fine-tune figure; make subplots close to each other and hide x ticks for
-# all but bottom plot.
-f.subplots_adjust(hspace=0)
-plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
-
-# row and column sharing
-f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')
-ax1.plot(x, y)
-ax1.set_title('Sharing x per column, y per row')
-ax2.scatter(x, y)
-ax3.scatter(x, 2 * y ** 2 - 1, color='r')
-ax4.plot(x, 2 * y ** 2 - 1, color='r')
-
-# Four axes, returned as a 2-d array
-f, axarr = plt.subplots(2, 2)
-axarr[0, 0].plot(x, y)
-axarr[0, 0].set_title('Axis [0,0]')
-axarr[0, 1].scatter(x, y)
-axarr[0, 1].set_title('Axis [0,1]')
-axarr[1, 0].plot(x, y ** 2)
-axarr[1, 0].set_title('Axis [1,0]')
-axarr[1, 1].scatter(x, y ** 2)
-axarr[1, 1].set_title('Axis [1,1]')
-# Fine-tune figure; hide x ticks for top plots and y ticks for right plots
-plt.setp([a.get_xticklabels() for a in axarr[0, :]], visible=False)
-plt.setp([a.get_yticklabels() for a in axarr[:, 1]], visible=False)
-
-# Four polar axes
-plt.subplots(2, 2, subplot_kw=dict(polar=True))
-
-plt.show()
diff --git a/examples/pylab_examples/symlog_demo.py b/examples/pylab_examples/symlog_demo.py
deleted file mode 100755
index 276c2e724c6e..000000000000
--- a/examples/pylab_examples/symlog_demo.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/usr/bin/env python
-from pylab import *
-
-dt = 0.01
-x = arange(-50.0, 50.0, dt)
-y = arange(0, 100.0, dt)
-
-subplot(311)
-plot(x, y)
-xscale('symlog')
-ylabel('symlogx')
-grid(True)
-gca().xaxis.grid(True, which='minor')  # minor grid on too
-
-subplot(312)
-plot(y, x)
-yscale('symlog')
-ylabel('symlogy')
-
-
-subplot(313)
-plot(x, np.sin(x / 3.0))
-xscale('symlog')
-yscale('symlog', linthreshy=0.015)
-grid(True)
-ylabel('symlog both')
-
-show()
diff --git a/examples/pylab_examples/system_monitor.py b/examples/pylab_examples/system_monitor.py
deleted file mode 100644
index 04e46416f7b6..000000000000
--- a/examples/pylab_examples/system_monitor.py
+++ /dev/null
@@ -1,51 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-import time
-from pylab import *
-
-
-def get_memory():
-    "Simulate a function that returns system memory"
-    return 100*(0.5 + 0.5*sin(0.5*pi*time.time()))
-
-
-def get_cpu():
-    "Simulate a function that returns cpu usage"
-    return 100*(0.5 + 0.5*sin(0.2*pi*(time.time() - 0.25)))
-
-
-def get_net():
-    "Simulate a function that returns network bandwidth"
-    return 100*(0.5 + 0.5*sin(0.7*pi*(time.time() - 0.1)))
-
-
-def get_stats():
-    return get_memory(), get_cpu(), get_net()
-
-# turn interactive mode on for dynamic updates.  If you aren't in
-# interactive mode, you'll need to use a GUI event handler/timer.
-ion()
-
-fig, ax = plt.subplots()
-ind = arange(1, 4)
-pm, pc, pn = bar(ind, get_stats())
-centers = ind + 0.5*pm.get_width()
-pm.set_facecolor('r')
-pc.set_facecolor('g')
-pn.set_facecolor('b')
-ax.set_xlim([0.5, 4])
-ax.set_xticks(centers)
-ax.set_ylim([0, 100])
-ax.set_xticklabels(['Memory', 'CPU', 'Bandwidth'])
-ax.set_ylabel('Percent usage')
-ax.set_title('System Monitor')
-
-for i in range(200):  # run for a little while
-    m, c, n = get_stats()
-
-    pm.set_height(m)
-    pc.set_height(c)
-    pn.set_height(n)
-    ax.set_ylim([0, 100])
-
-    draw()
diff --git a/examples/pylab_examples/table_demo.py b/examples/pylab_examples/table_demo.py
deleted file mode 100644
index 8e80056c347d..000000000000
--- a/examples/pylab_examples/table_demo.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""
-Demo of table function to display a table within a plot.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-data = [[  66386,  174296,   75131,  577908,   32015],
-        [  58230,  381139,   78045,   99308,  160454],
-        [  89135,   80552,  152558,  497981,  603535],
-        [  78415,   81858,  150656,  193263,   69638],
-        [ 139361,  331509,  343164,  781380,   52269]]
-
-columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
-rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
-
-values = np.arange(0, 2500, 500)
-value_increment = 1000
-
-# Get some pastel shades for the colors
-colors = plt.cm.BuPu(np.linspace(0, 0.5, len(columns)))
-n_rows = len(data)
-
-index = np.arange(len(columns)) + 0.3
-bar_width = 0.4
-
-# Initialize the vertical-offset for the stacked bar chart.
-y_offset = np.array([0.0] * len(columns))
-
-# Plot bars and create text labels for the table
-cell_text = []
-for row in range(n_rows):
-    plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
-    y_offset = y_offset + data[row]
-    cell_text.append(['%1.1f' % (x/1000.0) for x in y_offset])
-# Reverse colors and text labels to display the last value at the top.
-colors = colors[::-1]
-cell_text.reverse()
-
-# Add a table at the bottom of the axes
-the_table = plt.table(cellText=cell_text,
-                      rowLabels=rows,
-                      rowColours=colors,
-                      colLabels=columns,
-                      loc='bottom')
-
-# Adjust layout to make room for the table:
-plt.subplots_adjust(left=0.2, bottom=0.2)
-
-plt.ylabel("Loss in ${0}'s".format(value_increment))
-plt.yticks(values * value_increment, ['%d' % val for val in values])
-plt.xticks([])
-plt.title('Loss by Disaster')
-
-plt.show()
diff --git a/examples/pylab_examples/tex_demo.py b/examples/pylab_examples/tex_demo.py
deleted file mode 100644
index 7d24f3c29a44..000000000000
--- a/examples/pylab_examples/tex_demo.py
+++ /dev/null
@@ -1,30 +0,0 @@
-"""
-You can use TeX to render all of your matplotlib text if the rc
-parameter text.usetex is set.  This works currently on the agg and ps
-backends, and requires that you have tex and the other dependencies
-described at http://matplotlib.org/users/usetex.html
-properly installed on your system.  The first time you run a script
-you will see a lot of output from tex and associated tools.  The next
-time, the run may be silent, as a lot of the information is cached in
-~/.tex.cache
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-plt.rc('text', usetex=True)
-plt.rc('font', family='serif')
-plt.figure(1, figsize=(6, 4))
-ax = plt.axes([0.1, 0.1, 0.8, 0.7])
-t = np.linspace(0.0, 1.0, 100)
-s = np.cos(4 * np.pi * t) + 2
-plt.plot(t, s)
-
-plt.xlabel(r'\textbf{time (s)}')
-plt.ylabel(r'\textit{voltage (mV)}', fontsize=16)
-plt.title(r"\TeX\ is Number $\displaystyle\sum_{n=1}^\infty"
-          r"\frac{-e^{i\pi}}{2^n}$!", fontsize=16, color='r')
-plt.grid(True)
-plt.savefig('tex_demo')
-plt.show()
diff --git a/examples/pylab_examples/tex_unicode_demo.py b/examples/pylab_examples/tex_unicode_demo.py
deleted file mode 100755
index a7dc62e75258..000000000000
--- a/examples/pylab_examples/tex_unicode_demo.py
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-This demo is tex_demo.py modified to have unicode. See that file for
-more information.
-"""
-from __future__ import unicode_literals
-import matplotlib as mpl
-mpl.rcParams['text.usetex'] = True
-mpl.rcParams['text.latex.unicode'] = True
-from numpy import arange, cos, pi
-from matplotlib.pyplot import (figure, axes, plot, xlabel, ylabel, title,
-                               grid, savefig, show)
-
-figure(1, figsize=(6, 4))
-ax = axes([0.1, 0.1, 0.8, 0.7])
-t = arange(0.0, 1.0 + 0.01, 0.01)
-s = cos(2*2*pi*t) + 2
-plot(t, s)
-
-xlabel(r'\textbf{time (s)}')
-ylabel(r'\textit{Velocity (\u00B0/sec)}', fontsize=16)
-title(r"\TeX\ is Number $\displaystyle\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}$!",
-      fontsize=16, color='r')
-grid(True)
-show()
diff --git a/examples/pylab_examples/text_handles.py b/examples/pylab_examples/text_handles.py
deleted file mode 100644
index 0cfb6f73402e..000000000000
--- a/examples/pylab_examples/text_handles.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-# Controlling the properties of axis text using handles
-
-# See examples/text_themes.py for a more elegant, pythonic way to control
-# fonts.  After all, if we were slaves to MATLAB , we wouldn't be
-# using python!
-
-from pylab import *
-
-
-def f(t):
-    s1 = sin(2*pi*t)
-    e1 = exp(-t)
-    return multiply(s1, e1)
-
-t1 = arange(0.0, 5.0, 0.1)
-t2 = arange(0.0, 5.0, 0.02)
-
-
-fig, ax = plt.subplots()
-plot(t1, f(t1), 'bo', t2, f(t2), 'k')
-text(3.0, 0.6, 'f(t) = exp(-t) sin(2 pi t)')
-ttext = title('Fun with text!')
-ytext = ylabel('Damped oscillation')
-xtext = xlabel('time (s)')
-
-setp(ttext, size='large', color='r', style='italic')
-setp(xtext, size='medium', name='courier', weight='bold', color='g')
-setp(ytext, size='medium', name='helvetica', weight='light', color='b')
-show()
diff --git a/examples/pylab_examples/text_rotation.py b/examples/pylab_examples/text_rotation.py
deleted file mode 100644
index b899e0c5ba1e..000000000000
--- a/examples/pylab_examples/text_rotation.py
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/usr/bin/env python
-"""
-The way matplotlib does text layout is counter-intuitive to some, so
-this example is designed to make it a little clearer.  The text is
-aligned by it's bounding box (the rectangular box that surrounds the
-ink rectangle).  The order of operations is basically rotation then
-alignment, rather than alignment then rotation.  Basically, the text
-is centered at your x,y location, rotated around this point, and then
-aligned according to the bounding box of the rotated text.
-
-So if you specify left, bottom alignment, the bottom left of the
-bounding box of the rotated text will be at the x,y coordinate of the
-text.
-
-But a picture is worth a thousand words!
-"""
-from pylab import *
-
-
-def addtext(props):
-    text(0.5, 0.5, 'text 0', props, rotation=0)
-    text(1.5, 0.5, 'text 45', props, rotation=45)
-    text(2.5, 0.5, 'text 135', props, rotation=135)
-    text(3.5, 0.5, 'text 225', props, rotation=225)
-    text(4.5, 0.5, 'text -45', props, rotation=-45)
-    yticks([0, .5, 1])
-    grid(True)
-
-# the text bounding box
-bbox = {'fc': '0.8', 'pad': 0}
-
-subplot(211)
-addtext({'ha': 'center', 'va': 'center', 'bbox': bbox})
-xlim(0, 5)
-xticks(arange(0, 5.1, 0.5), [])
-ylabel('center / center')
-subplot(212)
-addtext({'ha': 'left', 'va': 'bottom', 'bbox': bbox})
-xlim(0, 5)
-xticks(arange(0, 5.1, 0.5))
-ylabel('left / bottom')
-show()
diff --git a/examples/pylab_examples/text_rotation_relative_to_line.py b/examples/pylab_examples/text_rotation_relative_to_line.py
deleted file mode 100644
index 69168d28626d..000000000000
--- a/examples/pylab_examples/text_rotation_relative_to_line.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-"""
-Text objects in matplotlib are normally rotated with respect to the
-screen coordinate system (i.e., 45 degrees rotation plots text along a
-line that is in between horizontal and vertical no matter how the axes
-are changed).  However, at times one wants to rotate text with respect
-to something on the plot.  In this case, the correct angle won't be
-the angle of that object in the plot coordinate system, but the angle
-that that object APPEARS in the screen coordinate system.  This angle
-is found by transforming the angle from the plot to the screen
-coordinate system, as shown in the example below.
-"""
-from pylab import *
-
-# Plot diagonal line (45 degrees)
-h = plot(r_[:10], r_[:10])
-
-# set limits so that it no longer looks on screen to be 45 degrees
-xlim([-10, 20])
-
-# Locations to plot text
-l1 = array((1, 1))
-l2 = array((5, 5))
-
-# Rotate angle
-angle = 45
-trans_angle = gca().transData.transform_angles(array((45,)),
-                                               l2.reshape((1, 2)))[0]
-
-# Plot text
-th1 = text(l1[0], l1[1], 'text not rotated correctly', fontsize=16,
-           rotation=angle)
-th2 = text(l2[0], l2[1], 'text not rotated correctly', fontsize=16,
-           rotation=trans_angle)
-
-show()
diff --git a/examples/pylab_examples/titles_demo.py b/examples/pylab_examples/titles_demo.py
deleted file mode 100644
index ae132be59f9d..000000000000
--- a/examples/pylab_examples/titles_demo.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/usr/bin/env python
-"""
-matplotlib can display plot titles centered, flush with the left side of
-a set of axes, and flush with the right side of a set of axes.
-
-"""
-import matplotlib.pyplot as plt
-
-plt.plot(range(10))
-
-plt.title('Center Title')
-plt.title('Left Title', loc='left')
-plt.title('Right Title', loc='right')
-
-plt.show()
diff --git a/examples/pylab_examples/to_numeric.py b/examples/pylab_examples/to_numeric.py
deleted file mode 100755
index 53839d51e5ee..000000000000
--- a/examples/pylab_examples/to_numeric.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-"""
-Use backend agg to access the figure canvas as an RGB string and then
-convert it to an array and pass it to Pillow for rendering.
-"""
-
-import pylab
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-
-try:
-    from PIL import Image
-except ImportError:
-    raise SystemExit("PIL must be installed to run this example")
-
-pylab.plot([1, 2, 3])
-
-canvas = pylab.get_current_fig_manager().canvas
-
-agg = canvas.switch_backends(FigureCanvasAgg)
-agg.draw()
-s = agg.tostring_rgb()
-
-# get the width and the height to resize the matrix
-l, b, w, h = agg.figure.bbox.bounds
-w, h = int(w), int(h)
-
-
-X = pylab.fromstring(s, pylab.uint8)
-X.shape = h, w, 3
-
-im = Image.fromstring("RGB", (w, h), s)
-
-# Uncomment this line to display the image using ImageMagick's
-# `display` tool.
-# im.show()
diff --git a/examples/pylab_examples/toggle_images.py b/examples/pylab_examples/toggle_images.py
deleted file mode 100644
index e95c54bd20f4..000000000000
--- a/examples/pylab_examples/toggle_images.py
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/usr/bin/env python
-""" toggle between two images by pressing "t"
-
-The basic idea is to load two images (they can be different shapes) and plot
-them to the same axes with hold "on".  Then, toggle the visible property of
-them using keypress event handling
-
-If you want two images with different shapes to be plotted with the same
-extent, they must have the same "extent" property
-
-As usual, we'll define some random images for demo.  Real data is much more
-exciting!
-
-Note, on the wx backend on some platforms (e.g., linux), you have to
-first click on the figure before the keypress events are activated.
-If you know how to fix this, please email us!
-
-"""
-
-from pylab import *
-
-# two images x1 is initially visible, x2 is not
-x1 = rand(100, 100)
-x2 = rand(150, 175)
-
-# arbitrary extent - both images must have same extent if you want
-# them to be resampled into the same axes space
-extent = (0, 1, 0, 1)
-im1 = imshow(x1, extent=extent)
-im2 = imshow(x2, extent=extent, hold=True)
-im2.set_visible(False)
-
-
-def toggle_images(event):
-    'toggle the visible state of the two images'
-    if event.key != 't':
-        return
-    b1 = im1.get_visible()
-    b2 = im2.get_visible()
-    im1.set_visible(not b1)
-    im2.set_visible(not b2)
-    draw()
-
-connect('key_press_event', toggle_images)
-
-show()
diff --git a/examples/pylab_examples/transoffset.py b/examples/pylab_examples/transoffset.py
deleted file mode 100644
index 3605f4b5a716..000000000000
--- a/examples/pylab_examples/transoffset.py
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/usr/bin/env python
-
-'''
-This illustrates the use of transforms.offset_copy to
-make a transform that positions a drawing element such as
-a text string at a specified offset in screen coordinates
-(dots or inches) relative to a location given in any
-coordinates.
-
-Every Artist--the mpl class from which classes such as
-Text and Line are derived--has a transform that can be
-set when the Artist is created, such as by the corresponding
-pylab command.  By default this is usually the Axes.transData
-transform, going from data units to screen dots.  We can
-use the offset_copy function to make a modified copy of
-this transform, where the modification consists of an
-offset.
-'''
-
-import pylab as P
-from matplotlib.transforms import offset_copy
-
-X = P.arange(7)
-Y = X**2
-
-fig = P.figure(figsize=(5, 10))
-ax = P.subplot(2, 1, 1)
-
-# If we want the same offset for each text instance,
-# we only need to make one transform.  To get the
-# transform argument to offset_copy, we need to make the axes
-# first; the subplot command above is one way to do this.
-
-transOffset = offset_copy(ax.transData, fig=fig,
-                          x=0.05, y=0.10, units='inches')
-
-for x, y in zip(X, Y):
-    P.plot((x,), (y,), 'ro')
-    P.text(x, y, '%d, %d' % (int(x), int(y)), transform=transOffset)
-
-
-# offset_copy works for polar plots also.
-
-ax = P.subplot(2, 1, 2, polar=True)
-
-transOffset = offset_copy(ax.transData, fig=fig, y=6, units='dots')
-
-for x, y in zip(X, Y):
-    P.polar((x,), (y,), 'ro')
-    P.text(x, y, '%d, %d' % (int(x), int(y)),
-           transform=transOffset,
-           horizontalalignment='center',
-           verticalalignment='bottom')
-
-
-P.show()
diff --git a/examples/pylab_examples/tricontour_demo.py b/examples/pylab_examples/tricontour_demo.py
deleted file mode 100644
index c1126e296ea5..000000000000
--- a/examples/pylab_examples/tricontour_demo.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""
-Contour plots of unstructured triangular grids.
-"""
-import matplotlib.pyplot as plt
-import matplotlib.tri as tri
-import numpy as np
-import math
-
-# Creating a Triangulation without specifying the triangles results in the
-# Delaunay triangulation of the points.
-
-# First create the x and y coordinates of the points.
-n_angles = 48
-n_radii = 8
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = (np.cos(radii)*np.cos(angles*3.0)).flatten()
-
-# Create the Triangulation; no triangles so Delaunay triangulation created.
-triang = tri.Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-# pcolor plot.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.tricontourf(triang, z)
-plt.colorbar()
-plt.tricontour(triang, z, colors='k')
-plt.title('Contour plot of Delaunay triangulation')
-
-# You can specify your own triangulation rather than perform a Delaunay
-# triangulation of the points, where each triangle is given by the indices of
-# the three points that make up the triangle, ordered in either a clockwise or
-# anticlockwise manner.
-
-xy = np.asarray([
-    [-0.101, 0.872], [-0.080, 0.883], [-0.069, 0.888], [-0.054, 0.890],
-    [-0.045, 0.897], [-0.057, 0.895], [-0.073, 0.900], [-0.087, 0.898],
-    [-0.090, 0.904], [-0.069, 0.907], [-0.069, 0.921], [-0.080, 0.919],
-    [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949],
-    [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959],
-    [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965],
-    [-0.097, 0.975], [-0.092, 0.984], [-0.101, 0.980], [-0.108, 0.980],
-    [-0.104, 0.987], [-0.102, 0.993], [-0.115, 1.001], [-0.099, 0.996],
-    [-0.101, 1.007], [-0.090, 1.010], [-0.087, 1.021], [-0.069, 1.021],
-    [-0.052, 1.022], [-0.052, 1.017], [-0.069, 1.010], [-0.064, 1.005],
-    [-0.048, 1.005], [-0.031, 1.005], [-0.031, 0.996], [-0.040, 0.987],
-    [-0.045, 0.980], [-0.052, 0.975], [-0.040, 0.973], [-0.026, 0.968],
-    [-0.020, 0.954], [-0.006, 0.947], [ 0.003, 0.935], [ 0.006, 0.926],
-    [ 0.005, 0.921], [ 0.022, 0.923], [ 0.033, 0.912], [ 0.029, 0.905],
-    [ 0.017, 0.900], [ 0.012, 0.895], [ 0.027, 0.893], [ 0.019, 0.886],
-    [ 0.001, 0.883], [-0.012, 0.884], [-0.029, 0.883], [-0.038, 0.879],
-    [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872],
-    [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933],
-    [-0.077, 0.990], [-0.059, 0.993]])
-x = xy[:, 0]*180/3.14159
-y = xy[:, 1]*180/3.14159
-x0 = -5
-y0 = 52
-z = np.exp(-0.01*((x - x0)*(x - x0) + (y - y0)*(y - y0)))
-
-triangles = np.asarray([
-    [67, 66,  1], [65,  2, 66], [ 1, 66,  2], [64,  2, 65], [63,  3, 64],
-    [60, 59, 57], [ 2, 64,  3], [ 3, 63,  4], [ 0, 67,  1], [62,  4, 63],
-    [57, 59, 56], [59, 58, 56], [61, 60, 69], [57, 69, 60], [ 4, 62, 68],
-    [ 6,  5,  9], [61, 68, 62], [69, 68, 61], [ 9,  5, 70], [ 6,  8,  7],
-    [ 4, 70,  5], [ 8,  6,  9], [56, 69, 57], [69, 56, 52], [70, 10,  9],
-    [54, 53, 55], [56, 55, 53], [68, 70,  4], [52, 56, 53], [11, 10, 12],
-    [69, 71, 68], [68, 13, 70], [10, 70, 13], [51, 50, 52], [13, 68, 71],
-    [52, 71, 69], [12, 10, 13], [71, 52, 50], [71, 14, 13], [50, 49, 71],
-    [49, 48, 71], [14, 16, 15], [14, 71, 48], [17, 19, 18], [17, 20, 19],
-    [48, 16, 14], [48, 47, 16], [47, 46, 16], [16, 46, 45], [23, 22, 24],
-    [21, 24, 22], [17, 16, 45], [20, 17, 45], [21, 25, 24], [27, 26, 28],
-    [20, 72, 21], [25, 21, 72], [45, 72, 20], [25, 28, 26], [44, 73, 45],
-    [72, 45, 73], [28, 25, 29], [29, 25, 31], [43, 73, 44], [73, 43, 40],
-    [72, 73, 39], [72, 31, 25], [42, 40, 43], [31, 30, 29], [39, 73, 40],
-    [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38],
-    [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]])
-
-# Rather than create a Triangulation object, can simply pass x, y and triangles
-# arrays to tripcolor directly.  It would be better to use a Triangulation
-# object if the same triangulation was to be used more than once to save
-# duplicated calculations.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.tricontourf(x, y, triangles, z)
-plt.colorbar()
-plt.title('Contour plot of user-specified triangulation')
-plt.xlabel('Longitude (degrees)')
-plt.ylabel('Latitude (degrees)')
-
-plt.show()
diff --git a/examples/pylab_examples/tricontour_smooth_delaunay.py b/examples/pylab_examples/tricontour_smooth_delaunay.py
deleted file mode 100644
index a155347dcb90..000000000000
--- a/examples/pylab_examples/tricontour_smooth_delaunay.py
+++ /dev/null
@@ -1,133 +0,0 @@
-"""
-Demonstrates high-resolution tricontouring of a random set of points ;
-a matplotlib.tri.TriAnalyzer is used to improve the plot quality.
-
-The initial data points and triangular grid for this demo are:
-    - a set of random points is instantiated, inside [-1, 1] x [-1, 1] square
-    - A Delaunay triangulation of these points is then computed, of which a
-    random subset of triangles is masked out by the user (based on
-    *init_mask_frac* parameter). This simulates invalidated data.
-
-The proposed generic procedure to obtain a high resolution contouring of such
-a data set is the following:
-    1) Compute an extended mask with a matplotlib.tri.TriAnalyzer, which will
-    exclude badly shaped (flat) triangles from the border of the
-    triangulation. Apply the mask to the triangulation (using set_mask).
-    2) Refine and interpolate the data using a
-    matplotlib.tri.UniformTriRefiner.
-    3) Plot the refined data with tricontour.
-
-"""
-from matplotlib.tri import Triangulation, TriAnalyzer, UniformTriRefiner
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-import numpy as np
-
-
-#-----------------------------------------------------------------------------
-# Analytical test function
-#-----------------------------------------------------------------------------
-def experiment_res(x, y):
-    """ An analytic function representing experiment results """
-    x = 2.*x
-    r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
-    theta1 = np.arctan2(0.5 - x, 0.5 - y)
-    r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
-    theta2 = np.arctan2(-x - 0.2, -y - 0.2)
-    z = (4*(np.exp((r1/10)**2) - 1)*30. * np.cos(3*theta1) +
-         (np.exp((r2/10)**2) - 1)*30. * np.cos(5*theta2) +
-         2*(x**2 + y**2))
-    return (np.max(z) - z)/(np.max(z) - np.min(z))
-
-#-----------------------------------------------------------------------------
-# Generating the initial data test points and triangulation for the demo
-#-----------------------------------------------------------------------------
-# User parameters for data test points
-n_test = 200  # Number of test data points, tested from 3 to 5000 for subdiv=3
-
-subdiv = 3  # Number of recursive subdivisions of the initial mesh for smooth
-            # plots. Values >3 might result in a very high number of triangles
-            # for the refine mesh: new triangles numbering = (4**subdiv)*ntri
-
-init_mask_frac = 0.0    # Float > 0. adjusting the proportion of
-                        # (invalid) initial triangles which will be masked
-                        # out. Enter 0 for no mask.
-
-min_circle_ratio = .01  # Minimum circle ratio - border triangles with circle
-                        # ratio below this will be masked if they touch a
-                        # border. Suggested value 0.01 ; Use -1 to keep
-                        # all triangles.
-
-# Random points
-random_gen = np.random.mtrand.RandomState(seed=127260)
-x_test = random_gen.uniform(-1., 1., size=n_test)
-y_test = random_gen.uniform(-1., 1., size=n_test)
-z_test = experiment_res(x_test, y_test)
-
-# meshing with Delaunay triangulation
-tri = Triangulation(x_test, y_test)
-ntri = tri.triangles.shape[0]
-
-# Some invalid data are masked out
-mask_init = np.zeros(ntri, dtype=np.bool)
-masked_tri = random_gen.randint(0, ntri, int(ntri*init_mask_frac))
-mask_init[masked_tri] = True
-tri.set_mask(mask_init)
-
-
-#-----------------------------------------------------------------------------
-# Improving the triangulation before high-res plots: removing flat triangles
-#-----------------------------------------------------------------------------
-# masking badly shaped triangles at the border of the triangular mesh.
-mask = TriAnalyzer(tri).get_flat_tri_mask(min_circle_ratio)
-tri.set_mask(mask)
-
-# refining the data
-refiner = UniformTriRefiner(tri)
-tri_refi, z_test_refi = refiner.refine_field(z_test, subdiv=subdiv)
-
-# analytical 'results' for comparison
-z_expected = experiment_res(tri_refi.x, tri_refi.y)
-
-# for the demo: loading the 'flat' triangles for plot
-flat_tri = Triangulation(x_test, y_test)
-flat_tri.set_mask(~mask)
-
-
-#-----------------------------------------------------------------------------
-# Now the plots
-#-----------------------------------------------------------------------------
-# User options for plots
-plot_tri = True          # plot of base triangulation
-plot_masked_tri = True   # plot of excessively flat excluded triangles
-plot_refi_tri = False    # plot of refined triangulation
-plot_expected = False    # plot of analytical function values for comparison
-
-
-# Graphical options for tricontouring
-levels = np.arange(0., 1., 0.025)
-cmap = cm.get_cmap(name='Blues', lut=None)
-
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.title("Filtering a Delaunay mesh\n" +
-          "(application to high-resolution tricontouring)")
-
-# 1) plot of the refined (computed) data countours:
-plt.tricontour(tri_refi, z_test_refi, levels=levels, cmap=cmap,
-               linewidths=[2.0, 0.5, 1.0, 0.5])
-# 2) plot of the expected (analytical) data countours (dashed):
-if plot_expected:
-    plt.tricontour(tri_refi, z_expected, levels=levels, cmap=cmap,
-                   linestyles='--')
-# 3) plot of the fine mesh on which interpolation was done:
-if plot_refi_tri:
-    plt.triplot(tri_refi, color='0.97')
-# 4) plot of the initial 'coarse' mesh:
-if plot_tri:
-    plt.triplot(tri, color='0.7')
-# 4) plot of the unvalidated triangles from naive Delaunay Triangulation:
-if plot_masked_tri:
-    plt.triplot(flat_tri, color='red')
-
-plt.show()
diff --git a/examples/pylab_examples/tricontour_smooth_user.py b/examples/pylab_examples/tricontour_smooth_user.py
deleted file mode 100644
index f5eed105f1f5..000000000000
--- a/examples/pylab_examples/tricontour_smooth_user.py
+++ /dev/null
@@ -1,76 +0,0 @@
-"""
-Demonstrates high-resolution tricontouring on user-defined triangular grids
-with matplotlib.tri.UniformTriRefiner
-"""
-from matplotlib.tri import Triangulation, UniformTriRefiner
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-import numpy as np
-import math
-
-
-#-----------------------------------------------------------------------------
-# Analytical test function
-#-----------------------------------------------------------------------------
-def function_z(x, y):
-    """ A function of 2 variables """
-    r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
-    theta1 = np.arctan2(0.5 - x, 0.5 - y)
-    r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
-    theta2 = np.arctan2(-x - 0.2, -y - 0.2)
-    z = -(2*(np.exp((r1/10)**2) - 1)*30. * np.cos(7.*theta1) +
-          (np.exp((r2/10)**2) - 1)*30. * np.cos(11.*theta2) +
-          0.7*(x**2 + y**2))
-    return (np.max(z) - z)/(np.max(z) - np.min(z))
-
-#-----------------------------------------------------------------------------
-# Creating a Triangulation
-#-----------------------------------------------------------------------------
-# First create the x and y coordinates of the points.
-n_angles = 20
-n_radii = 10
-min_radius = 0.15
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = function_z(x, y)
-
-# Now create the Triangulation.
-# (Creating a Triangulation without specifying the triangles results in the
-# Delaunay triangulation of the points.)
-triang = Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-#-----------------------------------------------------------------------------
-# Refine data
-#-----------------------------------------------------------------------------
-refiner = UniformTriRefiner(triang)
-tri_refi, z_test_refi = refiner.refine_field(z, subdiv=3)
-
-#-----------------------------------------------------------------------------
-# Plot the triangulation and the high-res iso-contours
-#-----------------------------------------------------------------------------
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.triplot(triang, lw=0.5, color='white')
-
-levels = np.arange(0., 1., 0.025)
-cmap = cm.get_cmap(name='terrain', lut=None)
-plt.tricontourf(tri_refi, z_test_refi, levels=levels, cmap=cmap)
-plt.tricontour(tri_refi, z_test_refi, levels=levels,
-               colors=['0.25', '0.5', '0.5', '0.5', '0.5'],
-               linewidths=[1.0, 0.5, 0.5, 0.5, 0.5])
-
-plt.title("High-resolution tricontouring")
-
-plt.show()
diff --git a/examples/pylab_examples/tricontour_vs_griddata.py b/examples/pylab_examples/tricontour_vs_griddata.py
deleted file mode 100644
index 0911df001356..000000000000
--- a/examples/pylab_examples/tricontour_vs_griddata.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""
-Comparison of griddata and tricontour for an unstructured triangular grid.
-"""
-from __future__ import print_function
-import matplotlib.pyplot as plt
-import matplotlib.tri as tri
-import numpy as np
-from numpy.random import uniform, seed
-from matplotlib.mlab import griddata
-import time
-
-seed(0)
-npts = 200
-ngridx = 100
-ngridy = 200
-x = uniform(-2, 2, npts)
-y = uniform(-2, 2, npts)
-z = x*np.exp(-x**2 - y**2)
-
-# griddata and contour.
-start = time.clock()
-plt.subplot(211)
-xi = np.linspace(-2.1, 2.1, ngridx)
-yi = np.linspace(-2.1, 2.1, ngridy)
-zi = griddata(x, y, z, xi, yi, interp='linear')
-plt.contour(xi, yi, zi, 15, linewidths=0.5, colors='k')
-plt.contourf(xi, yi, zi, 15, cmap=plt.cm.rainbow,
-             norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
-plt.colorbar()  # draw colorbar
-plt.plot(x, y, 'ko', ms=3)
-plt.xlim(-2, 2)
-plt.ylim(-2, 2)
-plt.title('griddata and contour (%d points, %d grid points)' %
-          (npts, ngridx*ngridy))
-print('griddata and contour seconds: %f' % (time.clock() - start))
-
-# tricontour.
-start = time.clock()
-plt.subplot(212)
-triang = tri.Triangulation(x, y)
-plt.tricontour(x, y, z, 15, linewidths=0.5, colors='k')
-plt.tricontourf(x, y, z, 15, cmap=plt.cm.rainbow,
-                norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max()))
-plt.colorbar()
-plt.plot(x, y, 'ko', ms=3)
-plt.xlim(-2, 2)
-plt.ylim(-2, 2)
-plt.title('tricontour (%d points)' % npts)
-print('tricontour seconds: %f' % (time.clock() - start))
-
-plt.show()
diff --git a/examples/pylab_examples/trigradient_demo.py b/examples/pylab_examples/trigradient_demo.py
deleted file mode 100644
index 6114b8493de5..000000000000
--- a/examples/pylab_examples/trigradient_demo.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""
-Demonstrates computation of gradient with matplotlib.tri.CubicTriInterpolator.
-"""
-from matplotlib.tri import Triangulation, UniformTriRefiner,\
-    CubicTriInterpolator
-import matplotlib.pyplot as plt
-import matplotlib.cm as cm
-import numpy as np
-import math
-
-
-#-----------------------------------------------------------------------------
-# Electrical potential of a dipole
-#-----------------------------------------------------------------------------
-def dipole_potential(x, y):
-    """ The electric dipole potential V """
-    r_sq = x**2 + y**2
-    theta = np.arctan2(y, x)
-    z = np.cos(theta)/r_sq
-    return (np.max(z) - z) / (np.max(z) - np.min(z))
-
-
-#-----------------------------------------------------------------------------
-# Creating a Triangulation
-#-----------------------------------------------------------------------------
-# First create the x and y coordinates of the points.
-n_angles = 30
-n_radii = 10
-min_radius = 0.2
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-V = dipole_potential(x, y)
-
-# Create the Triangulation; no triangles specified so Delaunay triangulation
-# created.
-triang = Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-#-----------------------------------------------------------------------------
-# Refine data - interpolates the electrical potential V
-#-----------------------------------------------------------------------------
-refiner = UniformTriRefiner(triang)
-tri_refi, z_test_refi = refiner.refine_field(V, subdiv=3)
-
-#-----------------------------------------------------------------------------
-# Computes the electrical field (Ex, Ey) as gradient of electrical potential
-#-----------------------------------------------------------------------------
-tci = CubicTriInterpolator(triang, -V)
-# Gradient requested here at the mesh nodes but could be anywhere else:
-(Ex, Ey) = tci.gradient(triang.x, triang.y)
-E_norm = np.sqrt(Ex**2 + Ey**2)
-
-#-----------------------------------------------------------------------------
-# Plot the triangulation, the potential iso-contours and the vector field
-#-----------------------------------------------------------------------------
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.triplot(triang, color='0.8')
-
-levels = np.arange(0., 1., 0.01)
-cmap = cm.get_cmap(name='hot', lut=None)
-plt.tricontour(tri_refi, z_test_refi, levels=levels, cmap=cmap,
-               linewidths=[2.0, 1.0, 1.0, 1.0])
-# Plots direction of the electrical vector field
-plt.quiver(triang.x, triang.y, Ex/E_norm, Ey/E_norm,
-           units='xy', scale=10., zorder=3, color='blue',
-           width=0.007, headwidth=3., headlength=4.)
-
-plt.title('Gradient plot: an electrical dipole')
-plt.show()
diff --git a/examples/pylab_examples/triinterp_demo.py b/examples/pylab_examples/triinterp_demo.py
deleted file mode 100644
index 70fac4ebf568..000000000000
--- a/examples/pylab_examples/triinterp_demo.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-Interpolation from triangular grid to quad grid.
-"""
-import matplotlib.pyplot as plt
-import matplotlib.tri as mtri
-import numpy as np
-
-# Create triangulation.
-x = np.asarray([0, 1, 2, 3, 0.5, 1.5, 2.5, 1, 2, 1.5])
-y = np.asarray([0, 0, 0, 0, 1.0, 1.0, 1.0, 2, 2, 3.0])
-triangles = [[0, 1, 4], [1, 2, 5], [2, 3, 6], [1, 5, 4], [2, 6, 5], [4, 5, 7],
-             [5, 6, 8], [5, 8, 7], [7, 8, 9]]
-triang = mtri.Triangulation(x, y, triangles)
-
-# Interpolate to regularly-spaced quad grid.
-z = np.cos(1.5*x)*np.cos(1.5*y)
-xi, yi = np.meshgrid(np.linspace(0, 3, 20), np.linspace(0, 3, 20))
-
-interp_lin = mtri.LinearTriInterpolator(triang, z)
-zi_lin = interp_lin(xi, yi)
-
-interp_cubic_geom = mtri.CubicTriInterpolator(triang, z, kind='geom')
-zi_cubic_geom = interp_cubic_geom(xi, yi)
-
-interp_cubic_min_E = mtri.CubicTriInterpolator(triang, z, kind='min_E')
-zi_cubic_min_E = interp_cubic_min_E(xi, yi)
-
-
-# Plot the triangulation.
-plt.subplot(221)
-plt.tricontourf(triang, z)
-plt.triplot(triang, 'ko-')
-plt.title('Triangular grid')
-
-# Plot linear interpolation to quad grid.
-plt.subplot(222)
-plt.contourf(xi, yi, zi_lin)
-plt.plot(xi, yi, 'k-', alpha=0.5)
-plt.plot(xi.T, yi.T, 'k-', alpha=0.5)
-plt.title("Linear interpolation")
-
-# Plot cubic interpolation to quad grid, kind=geom
-plt.subplot(223)
-plt.contourf(xi, yi, zi_cubic_geom)
-plt.plot(xi, yi, 'k-', alpha=0.5)
-plt.plot(xi.T, yi.T, 'k-', alpha=0.5)
-plt.title("Cubic interpolation,\nkind='geom'")
-
-# Plot cubic interpolation to quad grid, kind=min_E
-plt.subplot(224)
-plt.contourf(xi, yi, zi_cubic_min_E)
-plt.plot(xi, yi, 'k-', alpha=0.5)
-plt.plot(xi.T, yi.T, 'k-', alpha=0.5)
-plt.title("Cubic interpolation,\nkind='min_E'")
-
-plt.tight_layout()
-plt.show()
diff --git a/examples/pylab_examples/tripcolor_demo.py b/examples/pylab_examples/tripcolor_demo.py
deleted file mode 100644
index 03e467c2a6d7..000000000000
--- a/examples/pylab_examples/tripcolor_demo.py
+++ /dev/null
@@ -1,116 +0,0 @@
-"""
-Pseudocolor plots of unstructured triangular grids.
-"""
-import matplotlib.pyplot as plt
-import matplotlib.tri as tri
-import numpy as np
-import math
-
-# Creating a Triangulation without specifying the triangles results in the
-# Delaunay triangulation of the points.
-
-# First create the x and y coordinates of the points.
-n_angles = 36
-n_radii = 8
-min_radius = 0.25
-radii = np.linspace(min_radius, 0.95, n_radii)
-
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
-angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
-
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
-z = (np.cos(radii)*np.cos(angles*3.0)).flatten()
-
-# Create the Triangulation; no triangles so Delaunay triangulation created.
-triang = tri.Triangulation(x, y)
-
-# Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
-
-# tripcolor plot.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.tripcolor(triang, z, shading='flat', cmap=plt.cm.rainbow)
-plt.colorbar()
-plt.title('tripcolor of Delaunay triangulation, flat shading')
-
-# Illustrate Gouraud shading.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.tripcolor(triang, z, shading='gouraud', cmap=plt.cm.rainbow)
-plt.colorbar()
-plt.title('tripcolor of Delaunay triangulation, gouraud shading')
-
-
-# You can specify your own triangulation rather than perform a Delaunay
-# triangulation of the points, where each triangle is given by the indices of
-# the three points that make up the triangle, ordered in either a clockwise or
-# anticlockwise manner.
-
-xy = np.asarray([
-    [-0.101, 0.872], [-0.080, 0.883], [-0.069, 0.888], [-0.054, 0.890],
-    [-0.045, 0.897], [-0.057, 0.895], [-0.073, 0.900], [-0.087, 0.898],
-    [-0.090, 0.904], [-0.069, 0.907], [-0.069, 0.921], [-0.080, 0.919],
-    [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949],
-    [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959],
-    [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965],
-    [-0.097, 0.975], [-0.092, 0.984], [-0.101, 0.980], [-0.108, 0.980],
-    [-0.104, 0.987], [-0.102, 0.993], [-0.115, 1.001], [-0.099, 0.996],
-    [-0.101, 1.007], [-0.090, 1.010], [-0.087, 1.021], [-0.069, 1.021],
-    [-0.052, 1.022], [-0.052, 1.017], [-0.069, 1.010], [-0.064, 1.005],
-    [-0.048, 1.005], [-0.031, 1.005], [-0.031, 0.996], [-0.040, 0.987],
-    [-0.045, 0.980], [-0.052, 0.975], [-0.040, 0.973], [-0.026, 0.968],
-    [-0.020, 0.954], [-0.006, 0.947], [ 0.003, 0.935], [ 0.006, 0.926],
-    [ 0.005, 0.921], [ 0.022, 0.923], [ 0.033, 0.912], [ 0.029, 0.905],
-    [ 0.017, 0.900], [ 0.012, 0.895], [ 0.027, 0.893], [ 0.019, 0.886],
-    [ 0.001, 0.883], [-0.012, 0.884], [-0.029, 0.883], [-0.038, 0.879],
-    [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872],
-    [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933],
-    [-0.077, 0.990], [-0.059, 0.993]])
-x = xy[:, 0]*180/3.14159
-y = xy[:, 1]*180/3.14159
-
-triangles = np.asarray([
-    [67, 66,  1], [65,  2, 66], [ 1, 66,  2], [64,  2, 65], [63,  3, 64],
-    [60, 59, 57], [ 2, 64,  3], [ 3, 63,  4], [ 0, 67,  1], [62,  4, 63],
-    [57, 59, 56], [59, 58, 56], [61, 60, 69], [57, 69, 60], [ 4, 62, 68],
-    [ 6,  5,  9], [61, 68, 62], [69, 68, 61], [ 9,  5, 70], [ 6,  8,  7],
-    [ 4, 70,  5], [ 8,  6,  9], [56, 69, 57], [69, 56, 52], [70, 10,  9],
-    [54, 53, 55], [56, 55, 53], [68, 70,  4], [52, 56, 53], [11, 10, 12],
-    [69, 71, 68], [68, 13, 70], [10, 70, 13], [51, 50, 52], [13, 68, 71],
-    [52, 71, 69], [12, 10, 13], [71, 52, 50], [71, 14, 13], [50, 49, 71],
-    [49, 48, 71], [14, 16, 15], [14, 71, 48], [17, 19, 18], [17, 20, 19],
-    [48, 16, 14], [48, 47, 16], [47, 46, 16], [16, 46, 45], [23, 22, 24],
-    [21, 24, 22], [17, 16, 45], [20, 17, 45], [21, 25, 24], [27, 26, 28],
-    [20, 72, 21], [25, 21, 72], [45, 72, 20], [25, 28, 26], [44, 73, 45],
-    [72, 45, 73], [28, 25, 29], [29, 25, 31], [43, 73, 44], [73, 43, 40],
-    [72, 73, 39], [72, 31, 25], [42, 40, 43], [31, 30, 29], [39, 73, 40],
-    [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38],
-    [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]])
-
-xmid = x[triangles].mean(axis=1)
-ymid = y[triangles].mean(axis=1)
-x0 = -5
-y0 = 52
-zfaces = np.exp(-0.01*((xmid - x0)*(xmid - x0) + (ymid - y0)*(ymid - y0)))
-
-# Rather than create a Triangulation object, can simply pass x, y and triangles
-# arrays to tripcolor directly.  It would be better to use a Triangulation
-# object if the same triangulation was to be used more than once to save
-# duplicated calculations.
-# Can specify one color value per face rather than one per point by using the
-# facecolors kwarg.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.tripcolor(x, y, triangles, facecolors=zfaces, edgecolors='k')
-plt.colorbar()
-plt.title('tripcolor of user-specified triangulation')
-plt.xlabel('Longitude (degrees)')
-plt.ylabel('Latitude (degrees)')
-
-plt.show()
diff --git a/examples/pylab_examples/usetex_baseline_test.py b/examples/pylab_examples/usetex_baseline_test.py
deleted file mode 100644
index 55833c8058b3..000000000000
--- a/examples/pylab_examples/usetex_baseline_test.py
+++ /dev/null
@@ -1,77 +0,0 @@
-
-import matplotlib
-import matplotlib.pyplot as plt
-import matplotlib.axes as maxes
-
-from matplotlib import rcParams
-rcParams['text.usetex'] = True
-rcParams['text.latex.unicode'] = True
-
-
-class Axes(maxes.Axes):
-    """
-    A hackish way to simultaneously draw texts w/ usetex=True and
-    usetex=False in the same figure. It does not work in the ps backend.
-    """
-
-    def __init__(self, *kl, **kw):
-        self.usetex = kw.pop("usetex", "False")
-        self.preview = kw.pop("preview", "False")
-
-        maxes.Axes.__init__(self, *kl, **kw)
-
-    def draw(self, renderer):
-        usetex = plt.rcParams["text.usetex"]
-        preview = plt.rcParams["text.latex.preview"]
-        plt.rcParams["text.usetex"] = self.usetex
-        plt.rcParams["text.latex.preview"] = self.preview
-
-        maxes.Axes.draw(self, renderer)
-
-        plt.rcParams["text.usetex"] = usetex
-        plt.rcParams["text.latex.preview"] = preview
-
-Subplot = maxes.subplot_class_factory(Axes)
-
-
-def test_window_extent(ax, usetex, preview):
-
-    va = "baseline"
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-    #t = ax.text(0., 0., r"mlp", va="baseline", size=150)
-    text_kw = dict(va=va,
-                   size=50,
-                   bbox=dict(pad=0., ec="k", fc="none"))
-
-    test_strings = ["lg", r"$\frac{1}{2}\pi$",
-                    r"$p^{3^A}$", r"$p_{3_2}$"]
-
-    ax.axvline(0, color="r")
-
-    for i, s in enumerate(test_strings):
-
-        ax.axhline(i, color="r")
-        ax.text(0., 3 - i, s, **text_kw)
-
-    ax.set_xlim(-0.1, 1.1)
-    ax.set_ylim(-.8, 3.9)
-
-    ax.set_title("usetex=%s\npreview=%s" % (str(usetex), str(preview)))
-
-
-F = plt.figure(figsize=(2.*3, 6.5))
-
-for i, usetex, preview in [[0, False, False],
-                           [1, True, False],
-                           [2, True, True]]:
-    ax = Subplot(F, 1, 3, i + 1, usetex=usetex, preview=preview)
-    F.add_subplot(ax)
-    F.subplots_adjust(top=0.85)
-
-    test_window_extent(ax, usetex=usetex, preview=preview)
-
-
-plt.draw()
-plt.show()
diff --git a/examples/pylab_examples/usetex_demo.py b/examples/pylab_examples/usetex_demo.py
deleted file mode 100644
index f29173af3f4d..000000000000
--- a/examples/pylab_examples/usetex_demo.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import matplotlib
-matplotlib.rc('text', usetex=True)
-import pylab
-import numpy as np
-
-# interface tracking profiles
-N = 500
-delta = 0.6
-X = np.linspace(-1, 1, N)
-pylab.plot(X, (1 - np.tanh(4.*X/delta))/2,    # phase field tanh profiles
-           X, (X + 1)/2,                      # level set distance function
-           X, (1.4 + np.tanh(4.*X/delta))/4,  # composition profile
-           X, X < 0, 'k--',                   # sharp interface
-           linewidth=5)
-
-# legend
-pylab.legend((r'phase field', r'level set', r'composition', r'sharp interface'), shadow=True, loc=(0.01, 0.55))
-
-ltext = pylab.gca().get_legend().get_texts()
-pylab.setp(ltext[0], fontsize=20, color='b')
-pylab.setp(ltext[1], fontsize=20, color='g')
-pylab.setp(ltext[2], fontsize=20, color='r')
-pylab.setp(ltext[3], fontsize=20, color='k')
-
-# the arrow
-height = 0.1
-offset = 0.02
-pylab.plot((-delta / 2., delta / 2), (height, height), 'k', linewidth=2)
-pylab.plot((-delta / 2, -delta / 2 + offset * 2), (height, height - offset), 'k', linewidth=2)
-pylab.plot((-delta / 2, -delta / 2 + offset * 2), (height, height + offset), 'k', linewidth=2)
-pylab.plot((delta / 2, delta / 2 - offset * 2), (height, height - offset), 'k', linewidth=2)
-pylab.plot((delta / 2, delta / 2 - offset * 2), (height, height + offset), 'k', linewidth=2)
-pylab.text(-0.06, height - 0.06, r'$\delta$', {'color': 'k', 'fontsize': 24})
-
-# X-axis label
-pylab.xticks((-1, 0, 1), ('-1', '0', '1'), color='k', size=20)
-
-# Left Y-axis labels
-pylab.ylabel(r'\bf{phase field} $\phi$', {'color': 'b',
-                                          'fontsize': 20})
-pylab.yticks((0, 0.5, 1), ('0', '.5', '1'), color='k', size=20)
-
-# Right Y-axis labels
-pylab.text(1.05, 0.5, r"\bf{level set} $\phi$", {'color': 'g', 'fontsize': 20},
-           horizontalalignment='left',
-           verticalalignment='center',
-           rotation=90,
-           clip_on=False)
-pylab.text(1.01, -0.02, "-1", {'color': 'k', 'fontsize': 20})
-pylab.text(1.01, 0.98, "1", {'color': 'k', 'fontsize': 20})
-pylab.text(1.01, 0.48, "0", {'color': 'k', 'fontsize': 20})
-
-# level set equations
-pylab.text(0.1, 0.85,
-           r'$|\nabla\phi| = 1,$ \newline $ \frac{\partial \phi}{\partial t}'
-           r'+ U|\nabla \phi| = 0$',
-           {'color': 'g', 'fontsize': 20})
-
-# phase field equations
-pylab.text(0.2, 0.15,
-           r'$\mathcal{F} = \int f\left( \phi, c \right) dV,$ \newline '
-           r'$ \frac{ \partial \phi } { \partial t } = -M_{ \phi } '
-           r'\frac{ \delta \mathcal{F} } { \delta \phi }$',
-           {'color': 'b', 'fontsize': 20})
-
-# these went wrong in pdf in a previous version
-pylab.text(-.9, .42, r'gamma: $\gamma$', {'color': 'r', 'fontsize': 20})
-pylab.text(-.9, .36, r'Omega: $\Omega$', {'color': 'b', 'fontsize': 20})
-
-pylab.show()
diff --git a/examples/pylab_examples/usetex_fonteffects.py b/examples/pylab_examples/usetex_fonteffects.py
deleted file mode 100644
index 5ab5f378fe02..000000000000
--- a/examples/pylab_examples/usetex_fonteffects.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# This script demonstrates that font effects specified in your pdftex.map
-# are now supported in pdf usetex.
-
-import matplotlib
-matplotlib.rc('text', usetex=True)
-import pylab
-
-
-def setfont(font):
-    return r'\font\a %s at 14pt\a ' % font
-
-for y, font, text in zip(range(5),
-                         ['ptmr8r', 'ptmri8r', 'ptmro8r', 'ptmr8rn', 'ptmrr8re'],
-                         ['Nimbus Roman No9 L ' + x for x in
-                          ['', 'Italics (real italics for comparison)',
-                           '(slanted)', '(condensed)', '(extended)']]):
-    pylab.text(0, y, setfont(font) + text)
-
-pylab.ylim(-1, 5)
-pylab.xlim(-0.2, 0.6)
-pylab.setp(pylab.gca(), frame_on=False, xticks=(), yticks=())
-pylab.title('Usetex font effects')
-pylab.savefig('usetex_fonteffects.pdf')
diff --git a/examples/pylab_examples/vline_hline_demo.py b/examples/pylab_examples/vline_hline_demo.py
deleted file mode 100644
index 999b4a18eb81..000000000000
--- a/examples/pylab_examples/vline_hline_demo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-
-"""
-Small demonstration of the hlines and vlines plots.
-"""
-
-from matplotlib import pyplot as plt
-from numpy import sin, exp, absolute, pi, arange
-from numpy.random import normal
-
-
-def f(t):
-    s1 = sin(2 * pi * t)
-    e1 = exp(-t)
-    return absolute((s1 * e1)) + .05
-
-
-t = arange(0.0, 5.0, 0.1)
-s = f(t)
-nse = normal(0.0, 0.3, t.shape) * s
-
-fig = plt.figure(figsize=(12, 6))
-vax = fig.add_subplot(121)
-hax = fig.add_subplot(122)
-
-vax.plot(t, s + nse, 'b^')
-vax.vlines(t, [0], s)
-vax.set_xlabel('time (s)')
-vax.set_title('Vertical lines demo')
-
-hax.plot(s + nse, t, 'b^')
-hax.hlines(t, [0], s, lw=2)
-hax.set_xlabel('time (s)')
-hax.set_title('Horizontal lines demo')
-
-plt.show()
diff --git a/examples/pylab_examples/webapp_demo.py b/examples/pylab_examples/webapp_demo.py
deleted file mode 100644
index e12f882ba854..000000000000
--- a/examples/pylab_examples/webapp_demo.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-"""
-This example shows how to use the agg backend directly to create
-images, which may be of use to web application developers who want
-full control over their code without using the pyplot interface to
-manage figures, figure closing etc.
-
-.. note::
-
-    It is not necessary to avoid using the pyplot interface in order to
-    create figures without a graphical front-end - simply setting
-    the backend to "Agg" would be sufficient.
-
-
-It is also worth noting that, because matplotlib can save figures to file-like
-object, matplotlib can also be used inside a cgi-script *without* needing to
-write a figure to disk.
-
-"""
-
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-from matplotlib.figure import Figure
-import numpy as np
-
-
-def make_fig():
-    """
-    Make a figure and save it to "webagg.png".
-
-    """
-    fig = Figure()
-    ax = fig.add_subplot(1, 1, 1)
-
-    ax.plot([1, 2, 3], 'ro--', markersize=12, markerfacecolor='g')
-
-    # make a translucent scatter collection
-    x = np.random.rand(100)
-    y = np.random.rand(100)
-    area = np.pi * (10 * np.random.rand(100)) ** 2  # 0 to 10 point radiuses
-    c = ax.scatter(x, y, area)
-    c.set_alpha(0.5)
-
-    # add some text decoration
-    ax.set_title('My first image')
-    ax.set_ylabel('Some numbers')
-    ax.set_xticks((.2, .4, .6, .8))
-    labels = ax.set_xticklabels(('Bill', 'Fred', 'Ted', 'Ed'))
-
-    # To set object properties, you can either iterate over the
-    # objects manually, or define you own set command, as in setapi
-    # above.
-    for label in labels:
-        label.set_rotation(45)
-        label.set_fontsize(12)
-
-    FigureCanvasAgg(fig).print_png('webapp.png', dpi=150)
-
-make_fig()
diff --git a/examples/pylab_examples/xcorr_demo.py b/examples/pylab_examples/xcorr_demo.py
deleted file mode 100644
index 6fc079d835f1..000000000000
--- a/examples/pylab_examples/xcorr_demo.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-x, y = np.random.randn(2, 100)
-fig = plt.figure()
-ax1 = fig.add_subplot(211)
-ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2)
-ax1.grid(True)
-ax1.axhline(0, color='black', lw=2)
-
-ax2 = fig.add_subplot(212, sharex=ax1)
-ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2)
-ax2.grid(True)
-ax2.axhline(0, color='black', lw=2)
-
-plt.show()
diff --git a/examples/pylab_examples/zorder_demo.py b/examples/pylab_examples/zorder_demo.py
deleted file mode 100755
index 0ffb76ccdf6a..000000000000
--- a/examples/pylab_examples/zorder_demo.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/env python
-"""
-The default drawing order for axes is patches, lines, text.  This
-order is determined by the zorder attribute.  The following defaults
-are set
-
-Artist                      Z-order
-Patch / PatchCollection      1
-Line2D / LineCollection      2
-Text                         3
-
-You can change the order for individual artists by setting the zorder.  Any
-individual plot() call can set a value for the zorder of that particular item.
-
-In the fist subplot below, the lines are drawn above the patch
-collection from the scatter, which is the default.
-
-In the subplot below, the order is reversed.
-
-The second figure shows how to control the zorder of individual lines.
-"""
-
-from pylab import *
-x = rand(20)
-y = rand(20)
-
-subplot(211)
-plot(x, y, 'r', lw=3)
-scatter(x, y, s=120)
-
-subplot(212)
-plot(x, y, 'r', zorder=1, lw=3)
-scatter(x, y, s=120, zorder=2)
-
-# A new figure, with individually ordered items
-x = frange(0, 2*pi, npts=100)
-figure()
-plot(x, sin(x), linewidth=10, color='black', label='zorder=10', zorder=10)  # on top
-plot(x, cos(1.3*x), linewidth=10, color='red', label='zorder=1', zorder=1)  # bottom
-plot(x, sin(2.1*x), linewidth=10, color='green', label='zorder=3', zorder=3)
-axhline(0, linewidth=10, color='blue', label='zorder=2', zorder=2)
-l = legend()
-l.set_zorder(20)  # put the legend on top
-
-show()
diff --git a/examples/shapes_and_collections/artist_reference.py b/examples/shapes_and_collections/artist_reference.py
deleted file mode 100644
index fc22645c642c..000000000000
--- a/examples/shapes_and_collections/artist_reference.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""
-Reference for matplotlib artists
-
-This example displays several of matplotlib's graphics primitives (artists)
-drawn using matplotlib API. A full list of artists and the documentation is
-available at http://matplotlib.org/api/artist_api.html.
-
-Copyright (c) 2010, Bartosz Telenczuk
-BSD License
-"""
-import matplotlib.pyplot as plt
-plt.rcdefaults()
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.path as mpath
-import matplotlib.lines as mlines
-import matplotlib.patches as mpatches
-from matplotlib.collections import PatchCollection
-
-
-def label(xy, text):
-    y = xy[1] - 0.15  # shift y-value for label so that it's below the artist
-    plt.text(xy[0], y, text, ha="center", family='sans-serif', size=14)
-
-
-fig, ax = plt.subplots()
-# create 3x3 grid to plot the artists
-grid = np.mgrid[0.2:0.8:3j, 0.2:0.8:3j].reshape(2, -1).T
-
-patches = []
-
-# add a circle
-circle = mpatches.Circle(grid[0], 0.1, ec="none")
-patches.append(circle)
-label(grid[0], "Circle")
-
-# add a rectangle
-rect = mpatches.Rectangle(grid[1] - [0.025, 0.05], 0.05, 0.1, ec="none")
-patches.append(rect)
-label(grid[1], "Rectangle")
-
-# add a wedge
-wedge = mpatches.Wedge(grid[2], 0.1, 30, 270, ec="none")
-patches.append(wedge)
-label(grid[2], "Wedge")
-
-# add a Polygon
-polygon = mpatches.RegularPolygon(grid[3], 5, 0.1)
-patches.append(polygon)
-label(grid[3], "Polygon")
-
-# add an ellipse
-ellipse = mpatches.Ellipse(grid[4], 0.2, 0.1)
-patches.append(ellipse)
-label(grid[4], "Ellipse")
-
-# add an arrow
-arrow = mpatches.Arrow(grid[5, 0] - 0.05, grid[5, 1] - 0.05, 0.1, 0.1, width=0.1)
-patches.append(arrow)
-label(grid[5], "Arrow")
-
-# add a path patch
-Path = mpath.Path
-path_data = [
-    (Path.MOVETO, [0.018, -0.11]),
-    (Path.CURVE4, [-0.031, -0.051]),
-    (Path.CURVE4, [-0.115,  0.073]),
-    (Path.CURVE4, [-0.03 ,  0.073]),
-    (Path.LINETO, [-0.011,  0.039]),
-    (Path.CURVE4, [0.043,  0.121]),
-    (Path.CURVE4, [0.075, -0.005]),
-    (Path.CURVE4, [0.035, -0.027]),
-    (Path.CLOSEPOLY, [0.018, -0.11])
-    ]
-codes, verts = zip(*path_data)
-path = mpath.Path(verts + grid[6], codes)
-patch = mpatches.PathPatch(path)
-patches.append(patch)
-label(grid[6], "PathPatch")
-
-# add a fancy box
-fancybox = mpatches.FancyBboxPatch(
-    grid[7] - [0.025, 0.05], 0.05, 0.1,
-    boxstyle=mpatches.BoxStyle("Round", pad=0.02))
-patches.append(fancybox)
-label(grid[7], "FancyBoxPatch")
-
-# add a line
-x, y = np.array([[-0.06, 0.0, 0.1], [0.05, -0.05, 0.05]])
-line = mlines.Line2D(x + grid[8, 0], y + grid[8, 1], lw=5., alpha=0.3)
-label(grid[8], "Line2D")
-
-colors = np.linspace(0, 1, len(patches))
-collection = PatchCollection(patches, cmap=plt.cm.hsv, alpha=0.3)
-collection.set_array(np.array(colors))
-ax.add_collection(collection)
-ax.add_line(line)
-
-plt.subplots_adjust(left=0, right=1, bottom=0, top=1)
-plt.axis('equal')
-plt.axis('off')
-
-plt.show()
diff --git a/examples/shapes_and_collections/path_patch_demo.py b/examples/shapes_and_collections/path_patch_demo.py
deleted file mode 100644
index fb0c8aa47592..000000000000
--- a/examples/shapes_and_collections/path_patch_demo.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""
-Demo of a PathPatch object.
-"""
-import matplotlib.path as mpath
-import matplotlib.patches as mpatches
-import matplotlib.pyplot as plt
-
-
-fig, ax = plt.subplots()
-
-Path = mpath.Path
-path_data = [
-    (Path.MOVETO, (1.58, -2.57)),
-    (Path.CURVE4, (0.35, -1.1)),
-    (Path.CURVE4, (-1.75, 2.0)),
-    (Path.CURVE4, (0.375, 2.0)),
-    (Path.LINETO, (0.85, 1.15)),
-    (Path.CURVE4, (2.2, 3.2)),
-    (Path.CURVE4, (3, 0.05)),
-    (Path.CURVE4, (2.0, -0.5)),
-    (Path.CLOSEPOLY, (1.58, -2.57)),
-    ]
-codes, verts = zip(*path_data)
-path = mpath.Path(verts, codes)
-patch = mpatches.PathPatch(path, facecolor='r', alpha=0.5)
-ax.add_patch(patch)
-
-# plot control points and connecting lines
-x, y = zip(*path.vertices)
-line, = ax.plot(x, y, 'go-')
-
-ax.grid()
-ax.axis('equal')
-plt.show()
diff --git a/examples/shapes_and_collections/scatter_demo.py b/examples/shapes_and_collections/scatter_demo.py
deleted file mode 100644
index 8e66dbfb1560..000000000000
--- a/examples/shapes_and_collections/scatter_demo.py
+++ /dev/null
@@ -1,15 +0,0 @@
-"""
-Simple demo of a scatter plot.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-N = 50
-x = np.random.rand(N)
-y = np.random.rand(N)
-colors = np.random.rand(N)
-area = np.pi * (15 * np.random.rand(N))**2  # 0 to 15 point radiuses
-
-plt.scatter(x, y, s=area, c=colors, alpha=0.5)
-plt.show()
diff --git a/examples/showcase/integral_demo.py b/examples/showcase/integral_demo.py
deleted file mode 100644
index 144a5e93f772..000000000000
--- a/examples/showcase/integral_demo.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""
-Plot demonstrating the integral as the area under a curve.
-
-Although this is a simple example, it demonstrates some important tweaks:
-
-    * A simple line plot with custom color and line width.
-    * A shaded region created using a Polygon patch.
-    * A text label with mathtext rendering.
-    * figtext calls to label the x- and y-axes.
-    * Use of axis spines to hide the top and right spines.
-    * Custom tick placement and labels.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.patches import Polygon
-
-
-def func(x):
-    return (x - 3) * (x - 5) * (x - 7) + 85
-
-
-a, b = 2, 9  # integral limits
-x = np.linspace(0, 10)
-y = func(x)
-
-fig, ax = plt.subplots()
-plt.plot(x, y, 'r', linewidth=2)
-plt.ylim(ymin=0)
-
-# Make the shaded region
-ix = np.linspace(a, b)
-iy = func(ix)
-verts = [(a, 0)] + list(zip(ix, iy)) + [(b, 0)]
-poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')
-ax.add_patch(poly)
-
-plt.text(0.5 * (a + b), 30, r"$\int_a^b f(x)\mathrm{d}x$",
-         horizontalalignment='center', fontsize=20)
-
-plt.figtext(0.9, 0.05, '$x$')
-plt.figtext(0.1, 0.9, '$y$')
-
-ax.spines['right'].set_visible(False)
-ax.spines['top'].set_visible(False)
-ax.xaxis.set_ticks_position('bottom')
-
-ax.set_xticks((a, b))
-ax.set_xticklabels(('$a$', '$b$'))
-ax.set_yticks([])
-
-plt.show()
diff --git a/examples/showcase/xkcd.py b/examples/showcase/xkcd.py
deleted file mode 100644
index 517a2e7c1afa..000000000000
--- a/examples/showcase/xkcd.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-with plt.xkcd():
-    # Based on "Stove Ownership" from XKCD by Randall Monroe
-    # http://xkcd.com/418/
-
-    fig = plt.figure()
-    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
-    ax.spines['right'].set_color('none')
-    ax.spines['top'].set_color('none')
-    plt.xticks([])
-    plt.yticks([])
-    ax.set_ylim([-30, 10])
-
-    data = np.ones(100)
-    data[70:] -= np.arange(30)
-
-    plt.annotate(
-        'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
-        xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
-
-    plt.plot(data)
-
-    plt.xlabel('time')
-    plt.ylabel('my overall health')
-    fig.text(
-        0.5, 0.05,
-        '"Stove Ownership" from xkcd by Randall Monroe',
-        ha='center')
-
-    # Based on "The Data So Far" from XKCD by Randall Monroe
-    # http://xkcd.com/373/
-
-    fig = plt.figure()
-    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
-    ax.bar([-0.125, 1.0 - 0.125], [0, 100], 0.25)
-    ax.spines['right'].set_color('none')
-    ax.spines['top'].set_color('none')
-    ax.xaxis.set_ticks_position('bottom')
-    ax.set_xticks([0, 1])
-    ax.set_xlim([-0.5, 1.5])
-    ax.set_ylim([0, 110])
-    ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
-    plt.yticks([])
-
-    plt.title("CLAIMS OF SUPERNATURAL POWERS")
-
-    fig.text(
-        0.5, 0.05,
-        '"The Data So Far" from xkcd by Randall Monroe',
-        ha='center')
-
-plt.show()
diff --git a/examples/specialty_plots/topographic_hillshading.py b/examples/specialty_plots/topographic_hillshading.py
deleted file mode 100644
index e105d71f4a0d..000000000000
--- a/examples/specialty_plots/topographic_hillshading.py
+++ /dev/null
@@ -1,70 +0,0 @@
-"""
-Demonstrates the visual effect of varying blend mode and vertical exaggeration
-on "hillshaded" plots.
-
-Note that the "overlay" and "soft" blend modes work well for complex surfaces
-such as this example, while the default "hsv" blend mode works best for smooth
-surfaces such as many mathematical functions.
-
-In most cases, hillshading is used purely for visual purposes, and *dx*/*dy*
-can be safely ignored. In that case, you can tweak *vert_exag* (vertical
-exaggeration) by trial and error to give the desired visual effect. However,
-this example demonstrates how to use the *dx* and *dy* kwargs to ensure that
-the *vert_exag* parameter is the true vertical exaggeration.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.cbook import get_sample_data
-from matplotlib.colors import LightSource
-
-dem = np.load(get_sample_data('jacksboro_fault_dem.npz'))
-z = dem['elevation']
-
-#-- Optional dx and dy for accurate vertical exaggeration --------------------
-# If you need topographically accurate vertical exaggeration, or you don't want
-# to guess at what *vert_exag* should be, you'll need to specify the cellsize
-# of the grid (i.e. the *dx* and *dy* parameters).  Otherwise, any *vert_exag*
-# value you specify will be realitive to the grid spacing of your input data
-# (in other words, *dx* and *dy* default to 1.0, and *vert_exag* is calculated
-# relative to those parameters).  Similarly, *dx* and *dy* are assumed to be in
-# the same units as your input z-values.  Therefore, we'll need to convert the
-# given dx and dy from decimal degrees to meters.
-dx, dy = dem['dx'], dem['dy']
-dy = 111200 * dy
-dx = 111200 * dx * np.cos(np.radians(dem['ymin']))
-#-----------------------------------------------------------------------------
-
-# Shade from the northwest, with the sun 45 degrees from horizontal
-ls = LightSource(azdeg=315, altdeg=45)
-cmap = plt.cm.gist_earth
-
-fig, axes = plt.subplots(nrows=4, ncols=3, figsize=(8, 9))
-plt.setp(axes.flat, xticks=[], yticks=[])
-
-# Vary vertical exaggeration and blend mode and plot all combinations
-for col, ve in zip(axes.T, [0.1, 1, 10]):
-    # Show the hillshade intensity image in the first row
-    col[0].imshow(ls.hillshade(z, vert_exag=ve, dx=dx, dy=dy), cmap='gray')
-
-    # Place hillshaded plots with different blend modes in the rest of the rows
-    for ax, mode in zip(col[1:], ['hsv', 'overlay', 'soft']):
-        rgb = ls.shade(z, cmap=cmap, blend_mode=mode,
-                       vert_exag=ve, dx=dx, dy=dy)
-        ax.imshow(rgb)
-
-# Label rows and columns
-for ax, ve in zip(axes[0], [0.1, 1, 10]):
-    ax.set_title('{}'.format(ve), size=18)
-for ax, mode in zip(axes[:, 0], ['Hillshade', 'hsv', 'overlay', 'soft']):
-    ax.set_ylabel(mode, size=18)
-
-# Group labels...
-axes[0, 1].annotate('Vertical Exaggeration', (0.5, 1), xytext=(0, 30),
-                    textcoords='offset points', xycoords='axes fraction',
-                    ha='center', va='bottom', size=20)
-axes[2, 0].annotate('Blend Mode', (0, 0.5), xytext=(-30, 0),
-                    textcoords='offset points', xycoords='axes fraction',
-                    ha='right', va='center', size=20, rotation=90)
-fig.subplots_adjust(bottom=0.05, right=0.95)
-
-plt.show()
diff --git a/examples/statistics/boxplot_color_demo.py b/examples/statistics/boxplot_color_demo.py
deleted file mode 100644
index e16bf3822ea2..000000000000
--- a/examples/statistics/boxplot_color_demo.py
+++ /dev/null
@@ -1,40 +0,0 @@
-# Box plots with custom fill colors
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-# Random test data
-np.random.seed(123)
-all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]
-
-fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 5))
-
-# rectangular box plot
-bplot1 = axes[0].boxplot(all_data,
-                         vert=True,   # vertical box aligmnent
-                         patch_artist=True)   # fill with color
-
-# notch shape box plot
-bplot2 = axes[1].boxplot(all_data,
-                         notch=True,  # notch shape
-                         vert=True,   # vertical box aligmnent
-                         patch_artist=True)   # fill with color
-
-# fill with colors
-colors = ['pink', 'lightblue', 'lightgreen']
-for bplot in (bplot1, bplot2):
-    for patch, color in zip(bplot['boxes'], colors):
-        patch.set_facecolor(color)
-
-# adding horizontal grid lines
-for ax in axes:
-    ax.yaxis.grid(True)
-    ax.set_xticks([y+1 for y in range(len(all_data))], )
-    ax.set_xlabel('xlabel')
-    ax.set_ylabel('ylabel')
-
-# add x-tick labels
-plt.setp(axes, xticks=[y+1 for y in range(len(all_data))],
-         xticklabels=['x1', 'x2', 'x3', 'x4'])
-
-plt.show()
diff --git a/examples/statistics/boxplot_demo.py b/examples/statistics/boxplot_demo.py
deleted file mode 100644
index 932f65c155b8..000000000000
--- a/examples/statistics/boxplot_demo.py
+++ /dev/null
@@ -1,77 +0,0 @@
-"""
-Demo of the new boxplot functionality
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-# fake data
-np.random.seed(937)
-data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
-labels = list('ABCD')
-fs = 10  # fontsize
-
-# demonstrate how to toggle the display of different elements:
-fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))
-axes[0, 0].boxplot(data, labels=labels)
-axes[0, 0].set_title('Default', fontsize=fs)
-
-axes[0, 1].boxplot(data, labels=labels, showmeans=True)
-axes[0, 1].set_title('showmeans=True', fontsize=fs)
-
-axes[0, 2].boxplot(data, labels=labels, showmeans=True, meanline=True)
-axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
-
-axes[1, 0].boxplot(data, labels=labels, showbox=False, showcaps=False)
-axes[1, 0].set_title('Tufte Style \n(showbox=False,\nshowcaps=False)', fontsize=fs)
-
-axes[1, 1].boxplot(data, labels=labels, notch=True, bootstrap=10000)
-axes[1, 1].set_title('notch=True,\nbootstrap=10000', fontsize=fs)
-
-axes[1, 2].boxplot(data, labels=labels, showfliers=False)
-axes[1, 2].set_title('showfliers=False', fontsize=fs)
-
-for ax in axes.flatten():
-    ax.set_yscale('log')
-    ax.set_yticklabels([])
-
-fig.subplots_adjust(hspace=0.4)
-plt.show()
-
-
-# demonstrate how to customize the display different elements:
-boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
-flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
-                  linestyle='none')
-medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
-meanpointprops = dict(marker='D', markeredgecolor='black',
-                      markerfacecolor='firebrick')
-meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
-
-fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))
-axes[0, 0].boxplot(data, boxprops=boxprops)
-axes[0, 0].set_title('Custom boxprops', fontsize=fs)
-
-axes[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)
-axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
-
-axes[0, 2].boxplot(data, whis='range')
-axes[0, 2].set_title('whis="range"', fontsize=fs)
-
-axes[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,
-                   showmeans=True)
-axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)
-
-axes[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True, showmeans=True)
-axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)
-
-axes[1, 2].boxplot(data, whis=[15, 85])
-axes[1, 2].set_title('whis=[15, 85]\n#percentiles', fontsize=fs)
-
-for ax in axes.flatten():
-    ax.set_yscale('log')
-    ax.set_yticklabels([])
-
-fig.suptitle("I never said they'd be pretty")
-fig.subplots_adjust(hspace=0.4)
-plt.show()
diff --git a/examples/statistics/boxplot_vs_violin_demo.py b/examples/statistics/boxplot_vs_violin_demo.py
deleted file mode 100644
index acec4f00ceb5..000000000000
--- a/examples/statistics/boxplot_vs_violin_demo.py
+++ /dev/null
@@ -1,39 +0,0 @@
-# Box plot - violin plot comparison
-#
-# Note that although violin plots are closely related to Tukey's (1977) box plots,
-# they add useful information such as the distribution of the sample data (density trace).
-#
-# By default, box plots show data points outside 1.5 x the inter-quartile range as outliers
-# above or below the whiskers wheras violin plots show the whole range of the data.
-#
-# Violin plots require matplotlib >= 1.4.
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 5))
-
-# generate some random test data
-all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
-
-# plot violin plot
-axes[0].violinplot(all_data,
-                   showmeans=False,
-                   showmedians=True)
-axes[0].set_title('violin plot')
-
-# plot box plot
-axes[1].boxplot(all_data)
-axes[1].set_title('box plot')
-
-# adding horizontal grid lines
-for ax in axes:
-    ax.yaxis.grid(True)
-    ax.set_xticks([y+1 for y in range(len(all_data))])
-    ax.set_xlabel('xlabel')
-    ax.set_ylabel('ylabel')
-
-# add x-tick labels
-plt.setp(axes, xticks=[y+1 for y in range(len(all_data))],
-         xticklabels=['x1', 'x2', 'x3', 'x4'])
-plt.show()
diff --git a/examples/statistics/bxp_demo.py b/examples/statistics/bxp_demo.py
deleted file mode 100644
index 19a6dd2a14f3..000000000000
--- a/examples/statistics/bxp_demo.py
+++ /dev/null
@@ -1,83 +0,0 @@
-"""
-Demo of the new boxplot drawer function
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-import matplotlib.cbook as cbook
-
-# fake data
-np.random.seed(937)
-data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
-labels = list('ABCD')
-
-# compute the boxplot stats
-stats = cbook.boxplot_stats(data, labels=labels, bootstrap=10000)
-# After we've computed the stats, we can go through and change anything.
-# Just to prove it, I'll set the median of each set to the median of all
-# the data, and double the means
-for n in range(len(stats)):
-    stats[n]['med'] = np.median(data)
-    stats[n]['mean'] *= 2
-
-print(stats[0].keys())
-fs = 10  # fontsize
-
-# demonstrate how to toggle the display of different elements:
-fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))
-axes[0, 0].bxp(stats)
-axes[0, 0].set_title('Default', fontsize=fs)
-
-axes[0, 1].bxp(stats, showmeans=True)
-axes[0, 1].set_title('showmeans=True', fontsize=fs)
-
-axes[0, 2].bxp(stats, showmeans=True, meanline=True)
-axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
-
-axes[1, 0].bxp(stats, showbox=False, showcaps=False)
-axes[1, 0].set_title('Tufte Style\n(showbox=False,\nshowcaps=False)', fontsize=fs)
-
-axes[1, 1].bxp(stats, shownotches=True)
-axes[1, 1].set_title('notch=True', fontsize=fs)
-
-axes[1, 2].bxp(stats, showfliers=False)
-axes[1, 2].set_title('showfliers=False', fontsize=fs)
-
-for ax in axes.flatten():
-    ax.set_yscale('log')
-    ax.set_yticklabels([])
-
-fig.subplots_adjust(hspace=0.4)
-plt.show()
-
-
-# demonstrate how to customize the display different elements:
-boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
-flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
-                  linestyle='none')
-medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
-meanpointprops = dict(marker='D', markeredgecolor='black',
-                      markerfacecolor='firebrick')
-meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
-
-fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(6, 6))
-axes[0, 0].bxp(stats, boxprops=boxprops)
-axes[0, 0].set_title('Custom boxprops', fontsize=fs)
-
-axes[0, 1].bxp(stats, flierprops=flierprops, medianprops=medianprops)
-axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
-
-axes[1, 0].bxp(stats, meanprops=meanpointprops, meanline=False,
-               showmeans=True)
-axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)
-
-axes[1, 1].bxp(stats, meanprops=meanlineprops, meanline=True, showmeans=True)
-axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)
-
-for ax in axes.flatten():
-    ax.set_yscale('log')
-    ax.set_yticklabels([])
-
-fig.suptitle("I never said they'd be pretty")
-fig.subplots_adjust(hspace=0.4)
-plt.show()
diff --git a/examples/statistics/errorbar_demo.py b/examples/statistics/errorbar_demo.py
deleted file mode 100644
index d970e62d8441..000000000000
--- a/examples/statistics/errorbar_demo.py
+++ /dev/null
@@ -1,12 +0,0 @@
-"""
-Demo of the errorbar function.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-# example data
-x = np.arange(0.1, 4, 0.5)
-y = np.exp(-x)
-
-plt.errorbar(x, y, xerr=0.2, yerr=0.4)
-plt.show()
diff --git a/examples/statistics/errorbar_demo_features.py b/examples/statistics/errorbar_demo_features.py
deleted file mode 100644
index 4ec7a68ed437..000000000000
--- a/examples/statistics/errorbar_demo_features.py
+++ /dev/null
@@ -1,38 +0,0 @@
-"""
-Demo of errorbar function with different ways of specifying error bars.
-
-Errors can be specified as a constant value (as shown in `errorbar_demo.py`),
-or as demonstrated in this example, they can be specified by an N x 1 or 2 x N,
-where N is the number of data points.
-
-N x 1:
-    Error varies for each point, but the error values are symmetric (i.e. the
-    lower and upper values are equal).
-
-2 x N:
-    Error varies for each point, and the lower and upper limits (in that order)
-    are different (asymmetric case)
-
-In addition, this example demonstrates how to use log scale with errorbar.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-# example data
-x = np.arange(0.1, 4, 0.5)
-y = np.exp(-x)
-# example error bar values that vary with x-position
-error = 0.1 + 0.2 * x
-# error bar values w/ different -/+ errors
-lower_error = 0.4 * error
-upper_error = error
-asymmetric_error = [lower_error, upper_error]
-
-fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)
-ax0.errorbar(x, y, yerr=error, fmt='-o')
-ax0.set_title('variable, symmetric error')
-
-ax1.errorbar(x, y, xerr=asymmetric_error, fmt='o')
-ax1.set_title('variable, asymmetric error')
-ax1.set_yscale('log')
-plt.show()
diff --git a/examples/statistics/errorbar_limits.py b/examples/statistics/errorbar_limits.py
deleted file mode 100644
index 502637d611fa..000000000000
--- a/examples/statistics/errorbar_limits.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-Demo of the errorbar function, including upper and lower limits
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-# example data
-x = np.arange(0.5, 5.5, 0.5)
-y = np.exp(-x)
-xerr = 0.1
-yerr = 0.2
-ls = 'dotted'
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-
-# standard error bars
-plt.errorbar(x, y, xerr=xerr, yerr=yerr, ls=ls, color='blue')
-
-# including upper limits
-uplims = np.zeros(x.shape)
-uplims[[1, 5, 9]] = True
-plt.errorbar(x, y + 0.5, xerr=xerr, yerr=yerr, uplims=uplims, ls=ls,
-             color='green')
-
-# including lower limits
-lolims = np.zeros(x.shape)
-lolims[[2, 4, 8]] = True
-plt.errorbar(x, y + 1.0, xerr=xerr, yerr=yerr, lolims=lolims, ls=ls,
-             color='red')
-
-# including upper and lower limits
-plt.errorbar(x, y + 1.5, marker='o', ms=8, xerr=xerr, yerr=yerr,
-             lolims=lolims, uplims=uplims, ls=ls, color='magenta')
-
-# including xlower and xupper limits
-xerr = 0.2
-yerr = np.zeros(x.shape) + 0.2
-yerr[[3, 6]] = 0.3
-xlolims = lolims
-xuplims = uplims
-lolims = np.zeros(x.shape)
-uplims = np.zeros(x.shape)
-lolims[[6]] = True
-uplims[[3]] = True
-plt.errorbar(x, y + 2.1, marker='o', ms=8, xerr=xerr, yerr=yerr,
-             xlolims=xlolims, xuplims=xuplims, uplims=uplims, lolims=lolims,
-             ls='none', mec='blue', capsize=0, color='cyan')
-
-ax.set_xlim((0, 5.5))
-ax.set_title('Errorbar upper and lower limits')
-plt.show()
diff --git a/examples/statistics/histogram_demo_cumulative.py b/examples/statistics/histogram_demo_cumulative.py
deleted file mode 100644
index b555f0060eca..000000000000
--- a/examples/statistics/histogram_demo_cumulative.py
+++ /dev/null
@@ -1,30 +0,0 @@
-"""
-Demo of the histogram (hist) function used to plot a cumulative distribution.
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib import mlab
-
-
-mu = 200
-sigma = 25
-n_bins = 50
-x = mu + sigma*np.random.randn(10000)
-
-n, bins, patches = plt.hist(x, n_bins, normed=1,
-                            histtype='step', cumulative=True)
-
-# Add a line showing the expected distribution.
-y = mlab.normpdf(bins, mu, sigma).cumsum()
-y /= y[-1]
-plt.plot(bins, y, 'k--', linewidth=1.5)
-
-# Overlay a reversed cumulative histogram.
-plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=-1)
-
-plt.grid(True)
-plt.ylim(0, 1.05)
-plt.title('cumulative step')
-
-plt.show()
diff --git a/examples/statistics/histogram_demo_features.py b/examples/statistics/histogram_demo_features.py
deleted file mode 100644
index 743bb21d39db..000000000000
--- a/examples/statistics/histogram_demo_features.py
+++ /dev/null
@@ -1,35 +0,0 @@
-"""
-Demo of the histogram (hist) function with a few features.
-
-In addition to the basic histogram, this demo shows a few optional features:
-
-    * Setting the number of data bins
-    * The ``normed`` flag, which normalizes bin heights so that the integral of
-      the histogram is 1. The resulting histogram is a probability density.
-    * Setting the face color of the bars
-    * Setting the opacity (alpha value).
-
-"""
-import numpy as np
-import matplotlib.mlab as mlab
-import matplotlib.pyplot as plt
-
-
-# example data
-mu = 100  # mean of distribution
-sigma = 15  # standard deviation of distribution
-x = mu + sigma * np.random.randn(10000)
-
-num_bins = 50
-# the histogram of the data
-n, bins, patches = plt.hist(x, num_bins, normed=1, facecolor='green', alpha=0.5)
-# add a 'best fit' line
-y = mlab.normpdf(bins, mu, sigma)
-plt.plot(bins, y, 'r--')
-plt.xlabel('Smarts')
-plt.ylabel('Probability')
-plt.title(r'Histogram of IQ: $\mu=100$, $\sigma=15$')
-
-# Tweak spacing to prevent clipping of ylabel
-plt.subplots_adjust(left=0.15)
-plt.show()
diff --git a/examples/statistics/histogram_demo_histtypes.py b/examples/statistics/histogram_demo_histtypes.py
deleted file mode 100644
index 898b90cae17f..000000000000
--- a/examples/statistics/histogram_demo_histtypes.py
+++ /dev/null
@@ -1,27 +0,0 @@
-"""
-Demo of the histogram (hist) function with different ``histtype`` settings.
-
-* Histogram with step curve that has a color fill.
-* Histogram with with unequal bin widths.
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-mu = 200
-sigma = 25
-x = mu + sigma*np.random.randn(10000)
-
-fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(8, 4))
-
-ax0.hist(x, 20, normed=1, histtype='stepfilled', facecolor='g', alpha=0.75)
-ax0.set_title('stepfilled')
-
-# Create a histogram by providing the bin edges (unequally spaced).
-bins = [100, 150, 180, 195, 205, 220, 250, 300]
-ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
-ax1.set_title('unequal bins')
-
-plt.tight_layout()
-plt.show()
diff --git a/examples/statistics/histogram_demo_multihist.py b/examples/statistics/histogram_demo_multihist.py
deleted file mode 100644
index 57dd2ac00691..000000000000
--- a/examples/statistics/histogram_demo_multihist.py
+++ /dev/null
@@ -1,38 +0,0 @@
-"""
-Demo of the histogram (hist) function with multiple data sets.
-
-Plot histogram with multiple sample sets and demonstrate:
-
-    * Use of legend with multiple sample sets
-    * Stacked bars
-    * Step curve with a color fill
-    * Data sets of different sample sizes
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-n_bins = 10
-x = np.random.randn(1000, 3)
-
-fig, axes = plt.subplots(nrows=2, ncols=2)
-ax0, ax1, ax2, ax3 = axes.flat
-
-colors = ['red', 'tan', 'lime']
-ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors)
-ax0.legend(prop={'size': 10})
-ax0.set_title('bars with legend')
-
-ax1.hist(x, n_bins, normed=1, histtype='bar', stacked=True)
-ax1.set_title('stacked bar')
-
-ax2.hist(x, n_bins, histtype='step', stacked=True, fill=True)
-ax2.set_title('stepfilled')
-
-# Make a multiple-histogram of data-sets with different length.
-x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
-ax3.hist(x_multi, n_bins, histtype='bar')
-ax3.set_title('different sample sizes')
-
-plt.tight_layout()
-plt.show()
diff --git a/examples/statistics/multiple_histograms_side_by_side.py b/examples/statistics/multiple_histograms_side_by_side.py
deleted file mode 100644
index 3b8a1418d06d..000000000000
--- a/examples/statistics/multiple_histograms_side_by_side.py
+++ /dev/null
@@ -1,42 +0,0 @@
-
-"""
-Demo of how to produce multiple histograms side by side
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-number_of_bins = 20
-
-# An example of three data sets to compare
-number_of_data_points = 1000
-labels = ["A", "B", "C"]
-data_sets = [np.random.normal(0, 1, number_of_data_points),
-             np.random.normal(6, 1, number_of_data_points),
-             np.random.normal(-3, 1, number_of_data_points)]
-
-# Computed quantities to aid plotting
-hist_range = (np.min(data_sets), np.max(data_sets))
-binned_data_sets = [np.histogram(d, range=hist_range, bins=number_of_bins)[0]
-                    for d in data_sets]
-binned_maximums = np.max(binned_data_sets, axis=1)
-x_locations = np.arange(0, sum(binned_maximums), np.max(binned_maximums))
-
-# The bin_edges are the same for all of the histograms
-bin_edges = np.linspace(hist_range[0], hist_range[1], number_of_bins + 1)
-centers = .5 * (bin_edges + np.roll(bin_edges, 1))[:-1]
-heights = np.diff(bin_edges)
-
-# Cycle through and plot each histogram
-ax = plt.subplot(111)
-for x_loc, binned_data in zip(x_locations, binned_data_sets):
-    lefts = x_loc - .5 * binned_data
-    ax.barh(centers, binned_data, height=heights, left=lefts)
-
-ax.set_xticks(x_locations)
-ax.set_xticklabels(labels)
-
-ax.set_ylabel("Data values")
-ax.set_xlabel("Data sets")
-
-plt.show()
diff --git a/examples/statistics/violinplot_demo.py b/examples/statistics/violinplot_demo.py
deleted file mode 100644
index 1bfcccf061e0..000000000000
--- a/examples/statistics/violinplot_demo.py
+++ /dev/null
@@ -1,48 +0,0 @@
-"""
-Demo of the new violinplot functionality
-"""
-
-import random
-import numpy as np
-import matplotlib.pyplot as plt
-
-# fake data
-fs = 10  # fontsize
-pos = [1, 2, 4, 5, 7, 8]
-data = [np.random.normal(size=100) for i in pos]
-
-fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))
-
-axes[0, 0].violinplot(data, pos, points=20, widths=0.1,
-                      showmeans=True, showextrema=True, showmedians=True)
-axes[0, 0].set_title('Custom violinplot 1', fontsize=fs)
-
-axes[0, 1].violinplot(data, pos, points=40, widths=0.3,
-                      showmeans=True, showextrema=True, showmedians=True,
-                      bw_method='silverman')
-axes[0, 1].set_title('Custom violinplot 2', fontsize=fs)
-
-axes[0, 2].violinplot(data, pos, points=60, widths=0.5, showmeans=True,
-                      showextrema=True, showmedians=True, bw_method=0.5)
-axes[0, 2].set_title('Custom violinplot 3', fontsize=fs)
-
-axes[1, 0].violinplot(data, pos, points=80, vert=False, widths=0.7,
-                      showmeans=True, showextrema=True, showmedians=True)
-axes[1, 0].set_title('Custom violinplot 4', fontsize=fs)
-
-axes[1, 1].violinplot(data, pos, points=100, vert=False, widths=0.9,
-                      showmeans=True, showextrema=True, showmedians=True,
-                      bw_method='silverman')
-axes[1, 1].set_title('Custom violinplot 5', fontsize=fs)
-
-axes[1, 2].violinplot(data, pos, points=200, vert=False, widths=1.1,
-                      showmeans=True, showextrema=True, showmedians=True,
-                      bw_method=0.5)
-axes[1, 2].set_title('Custom violinplot 6', fontsize=fs)
-
-for ax in axes.flatten():
-    ax.set_yticklabels([])
-
-fig.suptitle("Violin Plotting Examples")
-fig.subplots_adjust(hspace=0.4)
-plt.show()
diff --git a/examples/style_sheets/plot_bmh.py b/examples/style_sheets/plot_bmh.py
deleted file mode 100644
index f44c319a675e..000000000000
--- a/examples/style_sheets/plot_bmh.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-This example demonstrates the "bmh" style, which is the design used in the
-Bayesian Methods for Hackers online book.
-"""
-from numpy.random import beta
-import matplotlib.pyplot as plt
-
-plt.style.use('bmh')
-
-
-def plot_beta_hist(a, b):
-    plt.hist(beta(a, b, size=10000), histtype="stepfilled",
-             bins=25, alpha=0.8, normed=True)
-    return
-
-plot_beta_hist(10, 10)
-plot_beta_hist(4, 12)
-plot_beta_hist(50, 12)
-plot_beta_hist(6, 55)
-
-plt.show()
diff --git a/examples/style_sheets/plot_dark_background.py b/examples/style_sheets/plot_dark_background.py
deleted file mode 100644
index c2f76b95e6f5..000000000000
--- a/examples/style_sheets/plot_dark_background.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""
-This example demonstrates the "dark_background" style, which uses white for
-elements that are typically black (text, borders, etc). Note, however, that not
-all plot elements default to colors defined by an rc parameter.
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-plt.style.use('dark_background')
-
-L = 6
-x = np.linspace(0, L)
-ncolors = len(plt.rcParams['axes.color_cycle'])
-shift = np.linspace(0, L, ncolors, endpoint=False)
-for s in shift:
-    plt.plot(x, np.sin(x + s), 'o-')
-plt.xlabel('x-axis')
-plt.ylabel('y-axis')
-plt.title('title')
-
-plt.show()
diff --git a/examples/style_sheets/plot_fivethirtyeight.py b/examples/style_sheets/plot_fivethirtyeight.py
deleted file mode 100644
index 21f919274366..000000000000
--- a/examples/style_sheets/plot_fivethirtyeight.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""
-This shows an example of the "fivethirtyeight" styling, which
-tries to replicate the styles from FiveThirtyEight.com.
-"""
-
-
-from matplotlib import pyplot as plt
-import numpy as np
-
-x = np.linspace(0, 10)
-
-with plt.style.context('fivethirtyeight'):
-    plt.plot(x, np.sin(x) + x + np.random.randn(50))
-    plt.plot(x, np.sin(x) + 0.5 * x + np.random.randn(50))
-    plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
-
-
-plt.show()
diff --git a/examples/style_sheets/plot_ggplot.py b/examples/style_sheets/plot_ggplot.py
deleted file mode 100644
index 2fff1aac9058..000000000000
--- a/examples/style_sheets/plot_ggplot.py
+++ /dev/null
@@ -1,50 +0,0 @@
-"""
-This example demonstrates the "ggplot" style, which adjusts the style to
-emulate ggplot_ (a popular plotting package for R_).
-
-These settings were shamelessly stolen from [1]_ (with permission).
-
-.. [1] http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/
-
-.. _ggplot: http://had.co.nz/ggplot/
-.. _R: http://www.r-project.org/
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-plt.style.use('ggplot')
-
-fig, axes = plt.subplots(ncols=2, nrows=2)
-ax1, ax2, ax3, ax4 = axes.ravel()
-
-# scatter plot (Note: `plt.scatter` doesn't use default colors)
-x, y = np.random.normal(size=(2, 200))
-ax1.plot(x, y, 'o')
-
-# sinusoidal lines with colors from default color cycle
-L = 2*np.pi
-x = np.linspace(0, L)
-ncolors = len(plt.rcParams['axes.color_cycle'])
-shift = np.linspace(0, L, ncolors, endpoint=False)
-for s in shift:
-    ax2.plot(x, np.sin(x + s), '-')
-ax2.margins(0)
-
-# bar graphs
-x = np.arange(5)
-y1, y2 = np.random.randint(1, 25, size=(2, 5))
-width = 0.25
-ax3.bar(x, y1, width)
-ax3.bar(x + width, y2, width, color=plt.rcParams['axes.color_cycle'][2])
-ax3.set_xticks(x + width)
-ax3.set_xticklabels(['a', 'b', 'c', 'd', 'e'])
-
-# circles with colors from default color cycle
-for i, color in enumerate(plt.rcParams['axes.color_cycle']):
-    xy = np.random.normal(size=2)
-    ax4.add_patch(plt.Circle(xy, radius=0.3, color=color))
-ax4.axis('equal')
-ax4.margins(0)
-
-plt.show()
diff --git a/examples/style_sheets/plot_grayscale.py b/examples/style_sheets/plot_grayscale.py
deleted file mode 100644
index f975fc7c3eb8..000000000000
--- a/examples/style_sheets/plot_grayscale.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""
-This example demonstrates the "grayscale" style sheet, which changes all colors
-that are defined as rc parameters to grayscale. Note, however, that not all
-plot elements default to colors defined by an rc parameter.
-
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-def color_cycle_example(ax):
-    L = 6
-    x = np.linspace(0, L)
-    ncolors = len(plt.rcParams['axes.color_cycle'])
-    shift = np.linspace(0, L, ncolors, endpoint=False)
-    for s in shift:
-        ax.plot(x, np.sin(x + s), 'o-')
-
-
-def image_and_patch_example(ax):
-    ax.imshow(np.random.random(size=(20, 20)), interpolation='none')
-    c = plt.Circle((5, 5), radius=5, label='patch')
-    ax.add_patch(c)
-
-
-plt.style.use('grayscale')
-
-fig, (ax1, ax2) = plt.subplots(ncols=2)
-
-color_cycle_example(ax1)
-image_and_patch_example(ax2)
-
-plt.show()
diff --git a/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py b/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py
deleted file mode 100644
index 2318f1678671..000000000000
--- a/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py
+++ /dev/null
@@ -1,37 +0,0 @@
-"""
-Demo of how to display two scales on the left and right y axis.
-
-This example uses the Fahrenheit and Celsius scales.
-"""
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-def fahrenheit2celsius(temp):
-    """
-    Returns temperature in Celsius.
-    """
-    return (5. / 9.) * (temp - 32)
-
-
-def convert_ax_c_to_celsius(ax_f):
-    """
-    Update second axis according with first axis.
-    """
-    y1, y2 = ax_f.get_ylim()
-    ax_c.set_ylim(fahrenheit2celsius(y1), fahrenheit2celsius(y2))
-    ax_c.figure.canvas.draw()
-
-fig, ax_f = plt.subplots()
-ax_c = ax_f.twinx()
-
-# automatically update ylim of ax2 when ylim of ax1 changes.
-ax_f.callbacks.connect("ylim_changed", convert_ax_c_to_celsius)
-ax_f.plot(np.linspace(-40, 120, 100))
-ax_f.set_xlim(0, 100)
-
-ax_f.set_title('Two scales: Fahrenheit and Celsius')
-ax_f.set_ylabel('Fahrenheit')
-ax_c.set_ylabel('Celsius')
-
-plt.show()
diff --git a/examples/subplots_axes_and_figures/subplot_demo.py b/examples/subplots_axes_and_figures/subplot_demo.py
deleted file mode 100644
index b90b53d899e9..000000000000
--- a/examples/subplots_axes_and_figures/subplot_demo.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Simple demo with multiple subplots.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x1 = np.linspace(0.0, 5.0)
-x2 = np.linspace(0.0, 2.0)
-
-y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
-y2 = np.cos(2 * np.pi * x2)
-
-plt.subplot(2, 1, 1)
-plt.plot(x1, y1, 'yo-')
-plt.title('A tale of 2 subplots')
-plt.ylabel('Damped oscillation')
-
-plt.subplot(2, 1, 2)
-plt.plot(x2, y2, 'r.-')
-plt.xlabel('time (s)')
-plt.ylabel('Undamped')
-
-plt.show()
diff --git a/examples/tests/backend_driver.py b/examples/tests/backend_driver.py
deleted file mode 100755
index de6b04375d46..000000000000
--- a/examples/tests/backend_driver.py
+++ /dev/null
@@ -1,531 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function, division
-"""
-This is used to drive many of the examples across the backends, for
-regression testing, and comparing backend efficiency.
-
-You can specify the backends to be tested either via the --backends
-switch, which takes a comma-separated list, or as separate arguments,
-e.g.
-
-    python backend_driver.py agg ps
-
-would test the agg and ps backends. If no arguments are given, a
-default list of backends will be tested.
-
-Interspersed with the backend arguments can be switches for the Python
-interpreter executing the tests. If entering such arguments causes an
-option parsing error with the driver script, separate them from driver
-switches with a --.
-"""
-
-import os
-import time
-import sys
-import glob
-from optparse import OptionParser
-
-import matplotlib.rcsetup as rcsetup
-from matplotlib.cbook import Bunch, dedent
-
-
-all_backends = list(rcsetup.all_backends)  # to leave the original list alone
-
-# actual physical directory for each dir
-dirs = dict(files=os.path.join('..', 'lines_bars_and_markers'),
-            shapes=os.path.join('..', 'shapes_and_collections'),
-            images=os.path.join('..', 'images_contours_and_fields'),
-            pie=os.path.join('..', 'pie_and_polar_charts'),
-            text=os.path.join('..', 'text_labels_and_annotations'),
-            ticks=os.path.join('..', 'ticks_and_spines'),
-            subplots=os.path.join('..', 'subplots_axes_and_figures'),
-            specialty=os.path.join('..', 'specialty_plots'),
-            showcase=os.path.join('..', 'showcase'),
-            pylab=os.path.join('..', 'pylab_examples'),
-            api=os.path.join('..', 'api'),
-            units=os.path.join('..', 'units'),
-            mplot3d=os.path.join('..', 'mplot3d'))
-
-
-# files in each dir
-files = dict()
-
-files['lines'] = [
-    'barh_demo.py',
-    'fill_demo.py',
-    'fill_demo_features.py',
-    'line_demo_dash_control.py',
-    'line_styles_reference.py',
-    'scatter_with_legend.py'
-    ]
-
-files['shapes'] = [
-    'path_patch_demo.py',
-    'scatter_demo.py',
-    ]
-
-files['colors'] = [
-    'color_cycle_demo.py',
-    ]
-
-files['images'] = [
-    'imshow_demo.py',
-    ]
-
-files['statistics'] = [
-    'errorbar_demo.py',
-    'errorbar_demo_features.py',
-    'histogram_demo_cumulative.py',
-    'histogram_demo_features.py',
-    'histogram_demo_histtypes.py',
-    'histogram_demo_multihist.py',
-    ]
-
-files['pie'] = [
-    'pie_demo.py',
-    'polar_bar_demo.py',
-    'polar_scatter_demo.py',
-    ]
-
-files['text_labels_and_annotations'] = [
-    'text_demo_fontdict.py',
-    'unicode_demo.py',
-    ]
-
-files['ticks_and_spines'] = [
-    'spines_demo_bounds.py',
-    'ticklabels_demo_rotation.py',
-    ]
-
-files['subplots_axes_and_figures'] = [
-    'subplot_demo.py',
-    ]
-
-files['showcase'] = [
-    'integral_demo.py',
-    ]
-
-files['pylab'] = [
-    'accented_text.py',
-    'alignment_test.py',
-    'annotation_demo.py',
-    'annotation_demo.py',
-    'annotation_demo2.py',
-    'annotation_demo2.py',
-    'anscombe.py',
-    'arctest.py',
-    'arrow_demo.py',
-    'axes_demo.py',
-    'axes_props.py',
-    'axhspan_demo.py',
-    'axis_equal_demo.py',
-    'bar_stacked.py',
-    'barb_demo.py',
-    'barchart_demo.py',
-    'barcode_demo.py',
-    'boxplot_demo.py',
-    'broken_barh.py',
-    'clippedline.py',
-    'cohere_demo.py',
-    'color_by_yvalue.py',
-    'color_demo.py',
-    'colorbar_tick_labelling_demo.py',
-    'contour_demo.py',
-    'contour_image.py',
-    'contour_label_demo.py',
-    'contourf_demo.py',
-    'contourf_log.py',
-    'coords_demo.py',
-    'coords_report.py',
-    'csd_demo.py',
-    'cursor_demo.py',
-    'custom_cmap.py',
-    'custom_figure_class.py',
-    'custom_ticker1.py',
-    'customize_rc.py',
-    'dashpointlabel.py',
-    'date_demo1.py',
-    'date_demo2.py',
-    'date_demo_convert.py',
-    'date_demo_rrule.py',
-    'date_index_formatter.py',
-    'dolphin.py',
-    'ellipse_collection.py',
-    'ellipse_demo.py',
-    'ellipse_rotated.py',
-    'equal_aspect_ratio.py',
-    'errorbar_limits.py',
-    'fancyarrow_demo.py',
-    'fancybox_demo.py',
-    'fancybox_demo2.py',
-    'fancytextbox_demo.py',
-    'figimage_demo.py',
-    'figlegend_demo.py',
-    'figure_title.py',
-    'fill_between_demo.py',
-    'fill_spiral.py',
-    'finance_demo.py',
-    'findobj_demo.py',
-    'fonts_demo.py',
-    'fonts_demo_kw.py',
-    'ganged_plots.py',
-    'geo_demo.py',
-    'gradient_bar.py',
-    'griddata_demo.py',
-    'hatch_demo.py',
-    'hexbin_demo.py',
-    'hexbin_demo2.py',
-    'hist_colormapped.py',
-    'vline_hline_demo.py',
-
-    'image_clip_path.py',
-    'image_demo.py',
-    'image_demo2.py',
-    'image_interp.py',
-    'image_masked.py',
-    'image_nonuniform.py',
-    'image_origin.py',
-    'image_slices_viewer.py',
-    'interp_demo.py',
-    'invert_axes.py',
-    'layer_images.py',
-    'legend_demo2.py',
-    'legend_demo3.py',
-    'line_collection.py',
-    'line_collection2.py',
-    'log_bar.py',
-    'log_demo.py',
-    'log_test.py',
-    'major_minor_demo1.py',
-    'major_minor_demo2.py',
-    'manual_axis.py',
-    'masked_demo.py',
-    'mathtext_demo.py',
-    'mathtext_examples.py',
-    'matplotlib_icon.py',
-    'matshow.py',
-    'mri_demo.py',
-    'mri_with_eeg.py',
-    'multi_image.py',
-    'multiline.py',
-    'multiple_figs_demo.py',
-    'nan_test.py',
-    'newscalarformatter_demo.py',
-    'pcolor_demo.py',
-    'pcolor_log.py',
-    'pcolor_small.py',
-    'pie_demo2.py',
-    'plotfile_demo.py',
-    'polar_demo.py',
-    'polar_legend.py',
-    'psd_demo.py',
-    'psd_demo2.py',
-    'psd_demo3.py',
-    'quadmesh_demo.py',
-    'quiver_demo.py',
-    'scatter_custom_symbol.py',
-    'scatter_demo2.py',
-    'scatter_masked.py',
-    'scatter_profile.py',
-    'scatter_star_poly.py',
-    #'set_and_get.py',
-    'shared_axis_across_figures.py',
-    'shared_axis_demo.py',
-    'simple_plot.py',
-    'specgram_demo.py',
-    'spine_placement_demo.py',
-    'spy_demos.py',
-    'stem_plot.py',
-    'step_demo.py',
-    'stix_fonts_demo.py',
-    'stock_demo.py',
-    'subplots_adjust.py',
-    'symlog_demo.py',
-    'table_demo.py',
-    'text_handles.py',
-    'text_rotation.py',
-    'text_rotation_relative_to_line.py',
-    'transoffset.py',
-    'xcorr_demo.py',
-    'zorder_demo.py',
-    ]
-
-
-files['api'] = [
-    'agg_oo.py',
-    'barchart_demo.py',
-    'bbox_intersect.py',
-    'collections_demo.py',
-    'colorbar_only.py',
-    'custom_projection_example.py',
-    'custom_scale_example.py',
-    'date_demo.py',
-    'date_index_formatter.py',
-    'donut_demo.py',
-    'font_family_rc.py',
-    'image_zcoord.py',
-    'joinstyle.py',
-    'legend_demo.py',
-    'line_with_text.py',
-    'logo2.py',
-    'mathtext_asarray.py',
-    'patch_collection.py',
-    'quad_bezier.py',
-    'scatter_piecharts.py',
-    'span_regions.py',
-    'two_scales.py',
-    'unicode_minus.py',
-    'watermark_image.py',
-    'watermark_text.py',
-]
-
-files['units'] = [
-    'annotate_with_units.py',
-    #'artist_tests.py',  # broken, fixme
-    'bar_demo2.py',
-    #'bar_unit_demo.py', # broken, fixme
-    #'ellipse_with_units.py',  # broken, fixme
-    'radian_demo.py',
-    'units_sample.py',
-    #'units_scatter.py', # broken, fixme
-
-    ]
-
-files['mplot3d'] = [
-    '2dcollections3d_demo.py',
-    'bars3d_demo.py',
-    'contour3d_demo.py',
-    'contour3d_demo2.py',
-    'contourf3d_demo.py',
-    'lines3d_demo.py',
-    'polys3d_demo.py',
-    'scatter3d_demo.py',
-    'surface3d_demo.py',
-    'surface3d_demo2.py',
-    'text3d_demo.py',
-    'wire3d_demo.py',
-    ]
-
-# dict from dir to files we know we don't want to test (e.g., examples
-# not using pyplot, examples requiring user input, animation examples,
-# examples that may only work in certain environs (usetex examples?),
-# examples that generate multiple figures
-
-excluded = {
-    'pylab': ['__init__.py', 'toggle_images.py', ],
-    'units': ['__init__.py', 'date_support.py', ],
-}
-
-
-def report_missing(dir, flist):
-    'report the py files in dir that are not in flist'
-    globstr = os.path.join(dir, '*.py')
-    fnames = glob.glob(globstr)
-
-    pyfiles = set([os.path.split(fullpath)[-1] for fullpath in set(fnames)])
-
-    exclude = set(excluded.get(dir, []))
-    flist = set(flist)
-    missing = list(pyfiles - flist - exclude)
-    missing.sort()
-    if missing:
-        print('%s files not tested: %s' % (dir, ', '.join(missing)))
-
-
-def report_all_missing(directories):
-    for f in directories:
-        report_missing(dirs[f], files[f])
-
-
-# tests known to fail on a given backend
-
-failbackend = dict(
-    svg=('tex_demo.py', ),
-    agg = ('hyperlinks.py', ),
-    pdf = ('hyperlinks.py', ),
-    ps = ('hyperlinks.py', ),
-    )
-
-
-try:
-    import subprocess
-
-    def run(arglist):
-        try:
-            ret = subprocess.call(arglist)
-        except KeyboardInterrupt:
-            sys.exit()
-        else:
-            return ret
-except ImportError:
-    def run(arglist):
-        os.system(' '.join(arglist))
-
-
-def drive(backend, directories, python=['python'], switches=[]):
-    exclude = failbackend.get(backend, [])
-
-    # Clear the destination directory for the examples
-    path = backend
-    if os.path.exists(path):
-        import glob
-        for fname in os.listdir(path):
-            os.unlink(os.path.join(path, fname))
-    else:
-        os.mkdir(backend)
-    failures = []
-
-    testcases = [os.path.join(dirs[d], fname)
-                 for d in directories
-                 for fname in files[d]]
-
-    for fullpath in testcases:
-        print('\tdriving %-40s' % (fullpath))
-        sys.stdout.flush()
-        fpath, fname = os.path.split(fullpath)
-
-        if fname in exclude:
-            print('\tSkipping %s, known to fail on backend: %s' % backend)
-            continue
-
-        basename, ext = os.path.splitext(fname)
-        outfile = os.path.join(path, basename)
-        tmpfile_name = '_tmp_%s.py' % basename
-        tmpfile = open(tmpfile_name, 'w')
-
-        future_imports = 'from __future__ import division, print_function'
-        for line in open(fullpath):
-            line_lstrip = line.lstrip()
-            if line_lstrip.startswith("#"):
-                tmpfile.write(line)
-            elif 'unicode_literals' in line:
-                future_imports = future_imports + ', unicode_literals'
-
-        tmpfile.writelines((
-            future_imports + '\n',
-            'import sys\n',
-            'sys.path.append("%s")\n' % fpath.replace('\\', '\\\\'),
-            'import matplotlib\n',
-            'matplotlib.use("%s")\n' % backend,
-            'from pylab import savefig\n',
-            'import numpy\n',
-            'numpy.seterr(invalid="ignore")\n',
-            ))
-        for line in open(fullpath):
-            line_lstrip = line.lstrip()
-            if (line_lstrip.startswith('from __future__ import') or
-                    line_lstrip.startswith('matplotlib.use') or
-                    line_lstrip.startswith('savefig') or
-                    line_lstrip.startswith('show')):
-                continue
-            tmpfile.write(line)
-        if backend in rcsetup.interactive_bk:
-            tmpfile.write('show()')
-        else:
-            tmpfile.write('\nsavefig(r"%s", dpi=150)' % outfile)
-
-        tmpfile.close()
-        start_time = time.time()
-        program = [x % {'name': basename} for x in python]
-        ret = run(program + [tmpfile_name] + switches)
-        end_time = time.time()
-        print("%s %s" % ((end_time - start_time), ret))
-        #os.system('%s %s %s' % (python, tmpfile_name, ' '.join(switches)))
-        os.remove(tmpfile_name)
-        if ret:
-            failures.append(fullpath)
-    return failures
-
-
-def parse_options():
-    doc = (__doc__ and __doc__.split('\n\n')) or "  "
-    op = OptionParser(description=doc[0].strip(),
-                      usage='%prog [options] [--] [backends and switches]',
-                      #epilog='\n'.join(doc[1:])  # epilog not supported on my python2.4 machine: JDH
-                      )
-    op.disable_interspersed_args()
-    op.set_defaults(dirs='pylab,api,units,mplot3d',
-                    clean=False, coverage=False, valgrind=False)
-    op.add_option('-d', '--dirs', '--directories', type='string',
-                  dest='dirs', help=dedent('''
-      Run only the tests in these directories; comma-separated list of
-      one or more of: pylab (or pylab_examples), api, units, mplot3d'''))
-    op.add_option('-b', '--backends', type='string', dest='backends',
-                  help=dedent('''
-      Run tests only for these backends; comma-separated list of
-      one or more of: agg, ps, svg, pdf, template, cairo,
-      Default is everything except cairo.'''))
-    op.add_option('--clean', action='store_true', dest='clean',
-                  help='Remove result directories, run no tests')
-    op.add_option('-c', '--coverage', action='store_true', dest='coverage',
-                  help='Run in coverage.py')
-    op.add_option('-v', '--valgrind', action='store_true', dest='valgrind',
-                  help='Run in valgrind')
-
-    options, args = op.parse_args()
-    switches = [x for x in args if x.startswith('--')]
-    backends = [x.lower() for x in args if not x.startswith('--')]
-    if options.backends:
-        backends += [be.lower() for be in options.backends.split(',')]
-
-    result = Bunch(
-        dirs=options.dirs.split(','),
-        backends=backends or ['agg', 'ps', 'svg', 'pdf', 'template'],
-        clean=options.clean,
-        coverage=options.coverage,
-        valgrind=options.valgrind,
-        switches=switches)
-    if 'pylab_examples' in result.dirs:
-        result.dirs[result.dirs.index('pylab_examples')] = 'pylab'
-    #print(result)
-    return (result)
-
-if __name__ == '__main__':
-    times = {}
-    failures = {}
-    options = parse_options()
-
-    if options.clean:
-        localdirs = [d for d in glob.glob('*') if os.path.isdir(d)]
-        all_backends_set = set(all_backends)
-        for d in localdirs:
-            if d.lower() not in all_backends_set:
-                continue
-            print('removing %s' % d)
-            for fname in glob.glob(os.path.join(d, '*')):
-                os.remove(fname)
-            os.rmdir(d)
-        for fname in glob.glob('_tmp*.py'):
-            os.remove(fname)
-
-        print('all clean...')
-        raise SystemExit
-    if options.coverage:
-        python = ['coverage.py', '-x']
-    elif options.valgrind:
-        python = ['valgrind', '--tool=memcheck', '--leak-check=yes',
-                  '--log-file=%(name)s', sys.executable]
-    elif sys.platform == 'win32':
-        python = [sys.executable]
-    else:
-        python = [sys.executable]
-
-    report_all_missing(options.dirs)
-    for backend in options.backends:
-        print('testing %s %s' % (backend, ' '.join(options.switches)))
-        t0 = time.time()
-        failures[backend] = \
-            drive(backend, options.dirs, python, options.switches)
-        t1 = time.time()
-        times[backend] = (t1 - t0)/60.0
-
-    #print(times)
-    for backend, elapsed in times.items():
-        print('Backend %s took %1.2f minutes to complete' % (backend, elapsed))
-        failed = failures[backend]
-        if failed:
-            print('  Failures: %s' % failed)
-        if 'template' in times:
-            print('\ttemplate ratio %1.3f, template residual %1.3f' % (
-                elapsed/times['template'], elapsed - times['template']))
diff --git a/examples/text_labels_and_annotations/rainbow_text.py b/examples/text_labels_and_annotations/rainbow_text.py
deleted file mode 100644
index 9d83228c5b47..000000000000
--- a/examples/text_labels_and_annotations/rainbow_text.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-The example shows how to string together several text objects.
-
-HISTORY
--------
-On the matplotlib-users list back in February 2012, Gökhan Sever asked the
-following question:
-
-    Is there a way in matplotlib to partially specify the color of a string?
-
-    Example:
-
-    plt.ylabel("Today is cloudy.")
-    How can I show "today" as red, "is" as green and "cloudy." as blue?
-
-    Thanks.
-
-Paul Ivanov responded with this answer:
-"""
-import matplotlib.pyplot as plt
-from matplotlib import transforms
-
-
-def rainbow_text(x, y, strings, colors, ax=None, **kw):
-    """
-    Take a list of ``strings`` and ``colors`` and place them next to each
-    other, with text strings[i] being shown in colors[i].
-
-    This example shows how to do both vertical and horizontal text, and will
-    pass all keyword arguments to plt.text, so you can set the font size,
-    family, etc.
-
-    The text will get added to the ``ax`` axes, if provided, otherwise the
-    currently active axes will be used.
-    """
-    if ax is None:
-        ax = plt.gca()
-    t = ax.transData
-    canvas = ax.figure.canvas
-
-    # horizontal version
-    for s, c in zip(strings, colors):
-        text = ax.text(x, y, " " + s + " ", color=c, transform=t, **kw)
-        text.draw(canvas.get_renderer())
-        ex = text.get_window_extent()
-        t = transforms.offset_copy(text._transform, x=ex.width, units='dots')
-
-    # vertical version
-    for s, c in zip(strings, colors):
-        text = ax.text(x, y, " " + s + " ", color=c, transform=t,
-                       rotation=90, va='bottom', ha='center', **kw)
-        text.draw(canvas.get_renderer())
-        ex = text.get_window_extent()
-        t = transforms.offset_copy(text._transform, y=ex.height, units='dots')
-
-
-rainbow_text(0, 0, "all unicorns poop rainbows ! ! !".split(),
-             ['red', 'cyan', 'brown', 'green', 'blue', 'purple', 'black'],
-             size=18)
-
-plt.show()
diff --git a/examples/text_labels_and_annotations/text_demo_fontdict.py b/examples/text_labels_and_annotations/text_demo_fontdict.py
deleted file mode 100644
index ae35d222b8d3..000000000000
--- a/examples/text_labels_and_annotations/text_demo_fontdict.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-Demo using fontdict to control style of text and labels.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-font = {'family': 'serif',
-        'color':  'darkred',
-        'weight': 'normal',
-        'size': 16,
-        }
-
-x = np.linspace(0.0, 5.0, 100)
-y = np.cos(2*np.pi*x) * np.exp(-x)
-
-plt.plot(x, y, 'k')
-plt.title('Damped exponential decay', fontdict=font)
-plt.text(2, 0.65, r'$\cos(2 \pi t) \exp(-t)$', fontdict=font)
-plt.xlabel('time (s)', fontdict=font)
-plt.ylabel('voltage (mV)', fontdict=font)
-
-# Tweak spacing to prevent clipping of ylabel
-plt.subplots_adjust(left=0.15)
-plt.show()
diff --git a/examples/text_labels_and_annotations/unicode_demo.py b/examples/text_labels_and_annotations/unicode_demo.py
deleted file mode 100644
index 5fc39bea0f4c..000000000000
--- a/examples/text_labels_and_annotations/unicode_demo.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Demo of unicode support in text and labels.
-"""
-from __future__ import unicode_literals
-
-import matplotlib.pyplot as plt
-
-
-plt.title('Développés et fabriqués')
-plt.xlabel("réactivité nous permettent d'être sélectionnés et adoptés")
-plt.ylabel('André was here!')
-plt.text(0.2, 0.8, 'Institut für Festkörperphysik', rotation=45)
-plt.text(0.4, 0.2, 'AVA (check kerning)')
-
-plt.show()
diff --git a/examples/ticks_and_spines/spines_demo.py b/examples/ticks_and_spines/spines_demo.py
deleted file mode 100644
index 0b5e450ed3b7..000000000000
--- a/examples/ticks_and_spines/spines_demo.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""
-Basic demo of axis spines.
-
-This demo compares a normal axes, with spines on all four sides, and an axes
-with spines only on the left and bottom.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x = np.linspace(0, 2 * np.pi, 100)
-y = 2 * np.sin(x)
-
-fig, (ax0, ax1) = plt.subplots(nrows=2)
-
-ax0.plot(x, y)
-ax0.set_title('normal spines')
-
-ax1.plot(x, y)
-ax1.set_title('bottom-left spines')
-
-# Hide the right and top spines
-ax1.spines['right'].set_visible(False)
-ax1.spines['top'].set_visible(False)
-# Only show ticks on the left and bottom spines
-ax1.yaxis.set_ticks_position('left')
-ax1.xaxis.set_ticks_position('bottom')
-
-# Tweak spacing between subplots to prevent labels from overlapping
-plt.subplots_adjust(hspace=0.5)
-
-plt.show()
diff --git a/examples/ticks_and_spines/spines_demo_bounds.py b/examples/ticks_and_spines/spines_demo_bounds.py
deleted file mode 100644
index 4828e72a0af6..000000000000
--- a/examples/ticks_and_spines/spines_demo_bounds.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""
-Demo of spines using custom bounds to limit the extent of the spine.
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-x = np.linspace(0, 2*np.pi, 50)
-y = np.sin(x)
-y2 = y + 0.1 * np.random.normal(size=x.shape)
-
-fig, ax = plt.subplots()
-ax.plot(x, y, 'k--')
-ax.plot(x, y2, 'ro')
-
-# set ticks and tick labels
-ax.set_xlim((0, 2*np.pi))
-ax.set_xticks([0, np.pi, 2*np.pi])
-ax.set_xticklabels(['0', '$\pi$', '2$\pi$'])
-ax.set_ylim((-1.5, 1.5))
-ax.set_yticks([-1, 0, 1])
-
-# Only draw spine between the y-ticks
-ax.spines['left'].set_bounds(-1, 1)
-# Hide the right and top spines
-ax.spines['right'].set_visible(False)
-ax.spines['top'].set_visible(False)
-# Only show ticks on the left and bottom spines
-ax.yaxis.set_ticks_position('left')
-ax.xaxis.set_ticks_position('bottom')
-
-plt.show()
diff --git a/examples/ticks_and_spines/spines_demo_dropped.py b/examples/ticks_and_spines/spines_demo_dropped.py
deleted file mode 100644
index 1a11e8f58f59..000000000000
--- a/examples/ticks_and_spines/spines_demo_dropped.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Demo of spines offset from the axes (a.k.a. "dropped spines").
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-fig, ax = plt.subplots()
-
-image = np.random.uniform(size=(10, 10))
-ax.imshow(image, cmap=plt.cm.gray, interpolation='nearest')
-ax.set_title('dropped spines')
-
-# Move left and bottom spines outward by 10 points
-ax.spines['left'].set_position(('outward', 10))
-ax.spines['bottom'].set_position(('outward', 10))
-# Hide the right and top spines
-ax.spines['right'].set_visible(False)
-ax.spines['top'].set_visible(False)
-# Only show ticks on the left and bottom spines
-ax.yaxis.set_ticks_position('left')
-ax.xaxis.set_ticks_position('bottom')
-
-plt.show()
diff --git a/examples/ticks_and_spines/ticklabels_demo_rotation.py b/examples/ticks_and_spines/ticklabels_demo_rotation.py
deleted file mode 100644
index 9c1c49b2e4d6..000000000000
--- a/examples/ticks_and_spines/ticklabels_demo_rotation.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""
-Demo of custom tick-labels with user-defined rotation.
-"""
-import matplotlib.pyplot as plt
-
-
-x = [1, 2, 3, 4]
-y = [1, 4, 9, 6]
-labels = ['Frogs', 'Hogs', 'Bogs', 'Slogs']
-
-plt.plot(x, y, 'ro')
-# You can specify a rotation for the tick labels in degrees or with keywords.
-plt.xticks(x, labels, rotation='vertical')
-# Pad margins so that markers don't get clipped by the axes
-plt.margins(0.2)
-# Tweak spacing to prevent clipping of tick-labels
-plt.subplots_adjust(bottom=0.15)
-plt.show()
diff --git a/examples/units/annotate_with_units.py b/examples/units/annotate_with_units.py
deleted file mode 100644
index b322e2dd2c89..000000000000
--- a/examples/units/annotate_with_units.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import matplotlib.pyplot as plt
-from basic_units import cm
-
-fig, ax = plt.subplots()
-
-ax.annotate("Note 01", [0.5*cm, 0.5*cm])
-
-# xy and text both unitized
-ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
-            xytext=(0.8*cm, 0.95*cm), textcoords='data',
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            horizontalalignment='right', verticalalignment='top')
-
-# mixing units w/ nonunits
-ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
-            xytext=(0.8, 0.95), textcoords='axes fraction',
-            arrowprops=dict(facecolor='black', shrink=0.05),
-            horizontalalignment='right', verticalalignment='top')
-
-
-ax.set_xlim(0*cm, 4*cm)
-ax.set_ylim(0*cm, 4*cm)
-plt.show()
diff --git a/examples/units/artist_tests.py b/examples/units/artist_tests.py
deleted file mode 100644
index 09cc8caa1d2f..000000000000
--- a/examples/units/artist_tests.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-Test unit support with each of the matplotlib primitive artist types
-
-The axes handles unit conversions and the artists keep a pointer to
-their axes parent, so you must init the artists with the axes instance
-if you want to initialize them with unit data, or else they will not
-know how to convert the units to scalars
-"""
-import random
-import matplotlib.lines as lines
-import matplotlib.patches as patches
-import matplotlib.text as text
-import matplotlib.collections as collections
-
-from basic_units import cm, inch
-import numpy as np
-import matplotlib.pyplot as plt
-
-fig, ax = plt.subplots()
-ax.xaxis.set_units(cm)
-ax.yaxis.set_units(cm)
-
-if 0:
-    # test a line collection
-    # Not supported at present.
-    verts = []
-    for i in range(10):
-        # a random line segment in inches
-        verts.append(zip(*inch*10*np.random.rand(2, random.randint(2, 15))))
-    lc = collections.LineCollection(verts, axes=ax)
-    ax.add_collection(lc)
-
-# test a plain-ol-line
-line = lines.Line2D([0*cm, 1.5*cm], [0*cm, 2.5*cm], lw=2, color='black', axes=ax)
-ax.add_line(line)
-
-if 0:
-    # test a patch
-    # Not supported at present.
-    rect = patches.Rectangle((1*cm, 1*cm), width=5*cm, height=2*cm, alpha=0.2, axes=ax)
-    ax.add_patch(rect)
-
-
-t = text.Text(3*cm, 2.5*cm, 'text label', ha='left', va='bottom', axes=ax)
-ax.add_artist(t)
-
-ax.set_xlim(-1*cm, 10*cm)
-ax.set_ylim(-1*cm, 10*cm)
-#ax.xaxis.set_units(inch)
-ax.grid(True)
-ax.set_title("Artists with units")
-plt.show()
diff --git a/examples/units/bar_demo2.py b/examples/units/bar_demo2.py
deleted file mode 100644
index e7fb8bdde07c..000000000000
--- a/examples/units/bar_demo2.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-plot using a variety of cm vs inches conversions.  The example shows
-how default unit instrospection works (ax1), how various keywords can
-be used to set the x and y units to override the defaults (ax2, ax3,
-ax4) and how one can set the xlimits using scalars (ax3, current units
-assumed) or units (conversions applied to get the numbers to current
-units)
-
-"""
-import numpy as np
-from basic_units import cm, inch
-import matplotlib.pyplot as plt
-
-
-cms = cm * np.arange(0, 10, 2)
-bottom = 0*cm
-width = 0.8*cm
-
-fig = plt.figure()
-
-ax1 = fig.add_subplot(2, 2, 1)
-ax1.bar(cms, cms, bottom=bottom)
-
-ax2 = fig.add_subplot(2, 2, 2)
-ax2.bar(cms, cms, bottom=bottom, width=width, xunits=cm, yunits=inch)
-
-ax3 = fig.add_subplot(2, 2, 3)
-ax3.bar(cms, cms, bottom=bottom, width=width, xunits=inch, yunits=cm)
-ax3.set_xlim(2, 6)  # scalars are interpreted in current units
-
-ax4 = fig.add_subplot(2, 2, 4)
-ax4.bar(cms, cms, bottom=bottom, width=width, xunits=inch, yunits=inch)
-#fig.savefig('simple_conversion_plot.png')
-ax4.set_xlim(2*cm, 6*cm)  # cm are converted to inches
-
-plt.show()
diff --git a/examples/units/bar_unit_demo.py b/examples/units/bar_unit_demo.py
deleted file mode 100644
index 76b639e1939a..000000000000
--- a/examples/units/bar_unit_demo.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-import numpy as np
-from basic_units import cm, inch
-import matplotlib.pyplot as plt
-
-
-N = 5
-menMeans = (150*cm, 160*cm, 146*cm, 172*cm, 155*cm)
-menStd = (20*cm, 30*cm, 32*cm, 10*cm, 20*cm)
-
-fig, ax = plt.subplots()
-
-ind = np.arange(N)    # the x locations for the groups
-width = 0.35         # the width of the bars
-p1 = ax.bar(ind, menMeans, width, color='r', bottom=0*cm, yerr=menStd)
-
-
-womenMeans = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
-womenStd = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
-p2 = ax.bar(ind + width, womenMeans, width, color='y', bottom=0*cm, yerr=womenStd)
-
-ax.set_title('Scores by group and gender')
-ax.set_xticks(ind + width)
-ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
-
-ax.legend((p1[0], p2[0]), ('Men', 'Women'))
-ax.yaxis.set_units(inch)
-ax.autoscale_view()
-
-#plt.savefig('barchart_demo')
-plt.show()
diff --git a/examples/units/basic_units.py b/examples/units/basic_units.py
deleted file mode 100644
index 2469882ff159..000000000000
--- a/examples/units/basic_units.py
+++ /dev/null
@@ -1,370 +0,0 @@
-import math
-
-import numpy as np
-
-import matplotlib.units as units
-import matplotlib.ticker as ticker
-from matplotlib.axes import Axes
-from matplotlib.cbook import iterable
-
-
-class ProxyDelegate(object):
-    def __init__(self, fn_name, proxy_type):
-        self.proxy_type = proxy_type
-        self.fn_name = fn_name
-
-    def __get__(self, obj, objtype=None):
-        return self.proxy_type(self.fn_name, obj)
-
-
-class TaggedValueMeta (type):
-    def __init__(cls, name, bases, dict):
-        for fn_name in cls._proxies.keys():
-            try:
-                dummy = getattr(cls, fn_name)
-            except AttributeError:
-                setattr(cls, fn_name,
-                        ProxyDelegate(fn_name, cls._proxies[fn_name]))
-
-
-class PassThroughProxy(object):
-    def __init__(self, fn_name, obj):
-        self.fn_name = fn_name
-        self.target = obj.proxy_target
-
-    def __call__(self, *args):
-        fn = getattr(self.target, self.fn_name)
-        ret = fn(*args)
-        return ret
-
-
-class ConvertArgsProxy(PassThroughProxy):
-    def __init__(self, fn_name, obj):
-        PassThroughProxy.__init__(self, fn_name, obj)
-        self.unit = obj.unit
-
-    def __call__(self, *args):
-        converted_args = []
-        for a in args:
-            try:
-                converted_args.append(a.convert_to(self.unit))
-            except AttributeError:
-                converted_args.append(TaggedValue(a, self.unit))
-        converted_args = tuple([c.get_value() for c in converted_args])
-        return PassThroughProxy.__call__(self, *converted_args)
-
-
-class ConvertReturnProxy(PassThroughProxy):
-    def __init__(self, fn_name, obj):
-        PassThroughProxy.__init__(self, fn_name, obj)
-        self.unit = obj.unit
-
-    def __call__(self, *args):
-        ret = PassThroughProxy.__call__(self, *args)
-        if (type(ret) == type(NotImplemented)):
-            return NotImplemented
-        return TaggedValue(ret, self.unit)
-
-
-class ConvertAllProxy(PassThroughProxy):
-    def __init__(self, fn_name, obj):
-        PassThroughProxy.__init__(self, fn_name, obj)
-        self.unit = obj.unit
-
-    def __call__(self, *args):
-        converted_args = []
-        arg_units = [self.unit]
-        for a in args:
-            if hasattr(a, 'get_unit') and not hasattr(a, 'convert_to'):
-                # if this arg has a unit type but no conversion ability,
-                # this operation is prohibited
-                return NotImplemented
-
-            if hasattr(a, 'convert_to'):
-                try:
-                    a = a.convert_to(self.unit)
-                except:
-                    pass
-                arg_units.append(a.get_unit())
-                converted_args.append(a.get_value())
-            else:
-                converted_args.append(a)
-                if hasattr(a, 'get_unit'):
-                    arg_units.append(a.get_unit())
-                else:
-                    arg_units.append(None)
-        converted_args = tuple(converted_args)
-        ret = PassThroughProxy.__call__(self, *converted_args)
-        if (type(ret) == type(NotImplemented)):
-            return NotImplemented
-        ret_unit = unit_resolver(self.fn_name, arg_units)
-        if (ret_unit == NotImplemented):
-            return NotImplemented
-        return TaggedValue(ret, ret_unit)
-
-
-class _TaggedValue(object):
-
-    _proxies = {'__add__': ConvertAllProxy,
-                '__sub__': ConvertAllProxy,
-                '__mul__': ConvertAllProxy,
-                '__rmul__': ConvertAllProxy,
-                '__cmp__': ConvertAllProxy,
-                '__lt__': ConvertAllProxy,
-                '__gt__': ConvertAllProxy,
-                '__len__': PassThroughProxy}
-
-    def __new__(cls, value, unit):
-        # generate a new subclass for value
-        value_class = type(value)
-        try:
-            subcls = type('TaggedValue_of_%s' % (value_class.__name__),
-                          tuple([cls, value_class]),
-                          {})
-            if subcls not in units.registry:
-                units.registry[subcls] = basicConverter
-            return object.__new__(subcls, value, unit)
-        except TypeError:
-            if cls not in units.registry:
-                units.registry[cls] = basicConverter
-            return object.__new__(cls, value, unit)
-
-    def __init__(self, value, unit):
-        self.value = value
-        self.unit = unit
-        self.proxy_target = self.value
-
-    def __getattribute__(self, name):
-        if (name.startswith('__')):
-            return object.__getattribute__(self, name)
-        variable = object.__getattribute__(self, 'value')
-        if (hasattr(variable, name) and name not in self.__class__.__dict__):
-            return getattr(variable, name)
-        return object.__getattribute__(self, name)
-
-    def __array__(self, t=None, context=None):
-        if t is not None:
-            return np.asarray(self.value).astype(t)
-        else:
-            return np.asarray(self.value, 'O')
-
-    def __array_wrap__(self, array, context):
-        return TaggedValue(array, self.unit)
-
-    def __repr__(self):
-        return 'TaggedValue(' + repr(self.value) + ', ' + repr(self.unit) + ')'
-
-    def __str__(self):
-        return str(self.value) + ' in ' + str(self.unit)
-
-    def __len__(self):
-        return len(self.value)
-
-    def __iter__(self):
-        class IteratorProxy(object):
-            def __init__(self, iter, unit):
-                self.iter = iter
-                self.unit = unit
-
-            def __next__(self):
-                value = next(self.iter)
-                return TaggedValue(value, self.unit)
-            next = __next__  # for Python 2
-        return IteratorProxy(iter(self.value), self.unit)
-
-    def get_compressed_copy(self, mask):
-        new_value = np.ma.masked_array(self.value, mask=mask).compressed()
-        return TaggedValue(new_value, self.unit)
-
-    def convert_to(self, unit):
-        if (unit == self.unit or not unit):
-            return self
-        new_value = self.unit.convert_value_to(self.value, unit)
-        return TaggedValue(new_value, unit)
-
-    def get_value(self):
-        return self.value
-
-    def get_unit(self):
-        return self.unit
-
-
-TaggedValue = TaggedValueMeta('TaggedValue', (_TaggedValue, ), {})
-
-
-class BasicUnit(object):
-    def __init__(self, name, fullname=None):
-        self.name = name
-        if fullname is None:
-            fullname = name
-        self.fullname = fullname
-        self.conversions = dict()
-
-    def __repr__(self):
-        return 'BasicUnit(%s)' % self.name
-
-    def __str__(self):
-        return self.fullname
-
-    def __call__(self, value):
-        return TaggedValue(value, self)
-
-    def __mul__(self, rhs):
-        value = rhs
-        unit = self
-        if hasattr(rhs, 'get_unit'):
-            value = rhs.get_value()
-            unit = rhs.get_unit()
-            unit = unit_resolver('__mul__', (self, unit))
-        if (unit == NotImplemented):
-            return NotImplemented
-        return TaggedValue(value, unit)
-
-    def __rmul__(self, lhs):
-        return self*lhs
-
-    def __array_wrap__(self, array, context):
-        return TaggedValue(array, self)
-
-    def __array__(self, t=None, context=None):
-        ret = np.array([1])
-        if t is not None:
-            return ret.astype(t)
-        else:
-            return ret
-
-    def add_conversion_factor(self, unit, factor):
-        def convert(x):
-            return x*factor
-        self.conversions[unit] = convert
-
-    def add_conversion_fn(self, unit, fn):
-        self.conversions[unit] = fn
-
-    def get_conversion_fn(self, unit):
-        return self.conversions[unit]
-
-    def convert_value_to(self, value, unit):
-        conversion_fn = self.conversions[unit]
-        ret = conversion_fn(value)
-        return ret
-
-    def get_unit(self):
-        return self
-
-
-class UnitResolver(object):
-    def addition_rule(self, units):
-        for unit_1, unit_2 in zip(units[:-1], units[1:]):
-            if (unit_1 != unit_2):
-                return NotImplemented
-        return units[0]
-
-    def multiplication_rule(self, units):
-        non_null = [u for u in units if u]
-        if (len(non_null) > 1):
-            return NotImplemented
-        return non_null[0]
-
-    op_dict = {
-        '__mul__': multiplication_rule,
-        '__rmul__': multiplication_rule,
-        '__add__': addition_rule,
-        '__radd__': addition_rule,
-        '__sub__': addition_rule,
-        '__rsub__': addition_rule}
-
-    def __call__(self, operation, units):
-        if (operation not in self.op_dict):
-            return NotImplemented
-
-        return self.op_dict[operation](self, units)
-
-
-unit_resolver = UnitResolver()
-
-cm = BasicUnit('cm', 'centimeters')
-inch = BasicUnit('inch', 'inches')
-inch.add_conversion_factor(cm, 2.54)
-cm.add_conversion_factor(inch, 1/2.54)
-
-radians = BasicUnit('rad', 'radians')
-degrees = BasicUnit('deg', 'degrees')
-radians.add_conversion_factor(degrees, 180.0/np.pi)
-degrees.add_conversion_factor(radians, np.pi/180.0)
-
-secs = BasicUnit('s', 'seconds')
-hertz = BasicUnit('Hz', 'Hertz')
-minutes = BasicUnit('min', 'minutes')
-
-secs.add_conversion_fn(hertz, lambda x: 1./x)
-secs.add_conversion_factor(minutes, 1/60.0)
-
-
-# radians formatting
-def rad_fn(x, pos=None):
-    n = int((x / np.pi) * 2.0 + 0.25)
-    if n == 0:
-        return '0'
-    elif n == 1:
-        return r'$\pi/2$'
-    elif n == 2:
-        return r'$\pi$'
-    elif n % 2 == 0:
-        return r'$%s\pi$' % (n/2,)
-    else:
-        return r'$%s\pi/2$' % (n,)
-
-
-class BasicUnitConverter(units.ConversionInterface):
-    @staticmethod
-    def axisinfo(unit, axis):
-        'return AxisInfo instance for x and unit'
-
-        if unit == radians:
-            return units.AxisInfo(
-                majloc=ticker.MultipleLocator(base=np.pi/2),
-                majfmt=ticker.FuncFormatter(rad_fn),
-                label=unit.fullname,
-            )
-        elif unit == degrees:
-            return units.AxisInfo(
-                majloc=ticker.AutoLocator(),
-                majfmt=ticker.FormatStrFormatter(r'$%i^\circ$'),
-                label=unit.fullname,
-            )
-        elif unit is not None:
-            if hasattr(unit, 'fullname'):
-                return units.AxisInfo(label=unit.fullname)
-            elif hasattr(unit, 'unit'):
-                return units.AxisInfo(label=unit.unit.fullname)
-        return None
-
-    @staticmethod
-    def convert(val, unit, axis):
-        if units.ConversionInterface.is_numlike(val):
-            return val
-        if iterable(val):
-            return [thisval.convert_to(unit).get_value() for thisval in val]
-        else:
-            return val.convert_to(unit).get_value()
-
-    @staticmethod
-    def default_units(x, axis):
-        'return the default unit for x or None'
-        if iterable(x):
-            for thisx in x:
-                return thisx.unit
-        return x.unit
-
-
-def cos(x):
-    if iterable(x):
-        return [math.cos(val.convert_to(radians).get_value()) for val in x]
-    else:
-        return math.cos(x.convert_to(radians).get_value())
-
-
-basicConverter = BasicUnitConverter()
-units.registry[BasicUnit] = basicConverter
-units.registry[TaggedValue] = basicConverter
diff --git a/examples/units/evans_test.py b/examples/units/evans_test.py
deleted file mode 100644
index 8f2686c33e4a..000000000000
--- a/examples/units/evans_test.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""
-A mockup "Foo" units class which supports
-conversion and different tick formatting depending on the "unit".
-Here the "unit" is just a scalar conversion factor, but this example shows mpl is
-entirely agnostic to what kind of units client packages use
-"""
-from matplotlib.cbook import iterable
-import matplotlib.units as units
-import matplotlib.ticker as ticker
-import matplotlib.pyplot as plt
-
-
-class Foo(object):
-    def __init__(self, val, unit=1.0):
-        self.unit = unit
-        self._val = val * unit
-
-    def value(self, unit):
-        if unit is None:
-            unit = self.unit
-        return self._val / unit
-
-
-class FooConverter(object):
-    @staticmethod
-    def axisinfo(unit, axis):
-        'return the Foo AxisInfo'
-        if unit == 1.0 or unit == 2.0:
-            return units.AxisInfo(
-                majloc=ticker.IndexLocator(8, 0),
-                majfmt=ticker.FormatStrFormatter("VAL: %s"),
-                label='foo',
-                )
-
-        else:
-            return None
-
-    @staticmethod
-    def convert(obj, unit, axis):
-        """
-        convert obj using unit.  If obj is a sequence, return the
-        converted sequence
-        """
-        if units.ConversionInterface.is_numlike(obj):
-            return obj
-
-        if iterable(obj):
-            return [o.value(unit) for o in obj]
-        else:
-            return obj.value(unit)
-
-    @staticmethod
-    def default_units(x, axis):
-        'return the default unit for x or None'
-        if iterable(x):
-            for thisx in x:
-                return thisx.unit
-        else:
-            return x.unit
-
-units.registry[Foo] = FooConverter()
-
-# create some Foos
-x = []
-for val in range(0, 50, 2):
-    x.append(Foo(val, 1.0))
-
-# and some arbitrary y data
-y = [i for i in range(len(x))]
-
-
-# plot specifying units
-fig = plt.figure()
-fig.suptitle("Custom units")
-fig.subplots_adjust(bottom=0.2)
-ax = fig.add_subplot(1, 2, 2)
-ax.plot(x, y, 'o', xunits=2.0)
-for label in ax.get_xticklabels():
-    label.set_rotation(30)
-    label.set_ha('right')
-ax.set_title("xunits = 2.0")
-
-
-# plot without specifying units; will use the None branch for axisinfo
-ax = fig.add_subplot(1, 2, 1)
-ax.plot(x, y)  # uses default units
-ax.set_title('default units')
-for label in ax.get_xticklabels():
-    label.set_rotation(30)
-    label.set_ha('right')
-
-plt.show()
diff --git a/examples/units/radian_demo.py b/examples/units/radian_demo.py
deleted file mode 100644
index 3eeca931e75d..000000000000
--- a/examples/units/radian_demo.py
+++ /dev/null
@@ -1,21 +0,0 @@
-"""
-Plot with radians from the basic_units mockup example package
-This example shows how the unit class can determine the tick locating,
-formatting and axis labeling.
-"""
-import numpy as np
-from basic_units import radians, degrees, cos
-from matplotlib.pyplot import figure, show
-
-x = [val*radians for val in np.arange(0, 15, 0.01)]
-
-fig = figure()
-fig.subplots_adjust(hspace=0.3)
-
-ax = fig.add_subplot(211)
-line1, = ax.plot(x, cos(x), xunits=radians)
-
-ax = fig.add_subplot(212)
-line2, = ax.plot(x, cos(x), xunits=degrees)
-
-show()
diff --git a/examples/units/units_sample.py b/examples/units/units_sample.py
deleted file mode 100644
index 84f26490a87f..000000000000
--- a/examples/units/units_sample.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""
-plot using a variety of cm vs inches conversions.  The example shows
-how default unit instrospection works (ax1), how various keywords can
-be used to set the x and y units to override the defaults (ax2, ax3,
-ax4) and how one can set the xlimits using scalars (ax3, current units
-assumed) or units (conversions applied to get the numbers to current
-units)
-
-"""
-from basic_units import cm, inch
-import matplotlib.pyplot as plt
-import numpy
-
-cms = cm * numpy.arange(0, 10, 2)
-
-fig = plt.figure()
-
-ax1 = fig.add_subplot(2, 2, 1)
-ax1.plot(cms, cms)
-
-ax2 = fig.add_subplot(2, 2, 2)
-ax2.plot(cms, cms, xunits=cm, yunits=inch)
-
-ax3 = fig.add_subplot(2, 2, 3)
-ax3.plot(cms, cms, xunits=inch, yunits=cm)
-ax3.set_xlim(3, 6)  # scalars are interpreted in current units
-
-ax4 = fig.add_subplot(2, 2, 4)
-ax4.plot(cms, cms, xunits=inch, yunits=inch)
-#fig.savefig('simple_conversion_plot.png')
-ax4.set_xlim(3*cm, 6*cm)  # cm are converted to inches
-
-plt.show()
diff --git a/examples/units/units_scatter.py b/examples/units/units_scatter.py
deleted file mode 100644
index 3457cb223865..000000000000
--- a/examples/units/units_scatter.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-Demonstrate unit handling
-
-basic_units is a mockup of a true units package used for testing
-purposed, which illustrates the basic interface that a units package
-must provide to matplotlib.
-
-The example below shows support for unit conversions over masked
-arrays.
-"""
-import numpy as np
-from basic_units import secs, hertz, minutes
-from matplotlib.pylab import figure, show
-
-# create masked array
-
-
-xsecs = secs*np.ma.MaskedArray((1, 2, 3, 4, 5, 6, 7, 8), (1, 0, 1, 0, 0, 0, 1, 0), np.float)
-#xsecs = secs*np.arange(1,10.)
-
-fig = figure()
-ax1 = fig.add_subplot(3, 1, 1)
-ax1.scatter(xsecs, xsecs)
-#ax1.set_ylabel('seconds')
-ax1.axis([0, 10, 0, 10])
-
-ax2 = fig.add_subplot(3, 1, 2, sharex=ax1)
-ax2.scatter(xsecs, xsecs, yunits=hertz)
-ax2.axis([0, 10, 0, 1])
-
-ax3 = fig.add_subplot(3, 1, 3, sharex=ax1)
-ax3.scatter(xsecs, xsecs, yunits=hertz)
-ax3.yaxis.set_units(minutes)
-ax3.axis([0, 10, 0, 1])
-
-show()
diff --git a/examples/user_interfaces/README.txt b/examples/user_interfaces/README.txt
deleted file mode 100644
index 768622ecec70..000000000000
--- a/examples/user_interfaces/README.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-Embedding matplotlib in graphical user interfaces
-=================================================
-
-You can embed matplotlib directly into a user interface application by
-following the embedding_in_SOMEGUI.py examples here.  Currently
-matplotlib supports wxpython, pygtk, tkinter, pyqt, fltk and cocoa.
-
-When embedding matplotlib in a GUI, you must use the matplotlib API
-directly rather than the pylab/pyplot proceedural interface, so take a
-look at the examples/api directory for some example code working with
-the API.
-
-
diff --git a/examples/user_interfaces/README.wx b/examples/user_interfaces/README.wx
deleted file mode 100644
index c44eeff2ced1..000000000000
--- a/examples/user_interfaces/README.wx
+++ /dev/null
@@ -1,21 +0,0 @@
-You have a few different options available to you for embedding
-matplotlib  in a wxPython application
-
-1. Embed one of the wxPython backend widgets (which subclass wx.Panel)
-   directly and draw plots on it using matplotlib's object-oriented
-   API.  This approach is demonstrated by some of the examples
-   embedding_in_wx*.py
-
-2. Embed the PlotPanel from Matt Newville's `MPlot' package and draw
-   plots on it using its plot() and oplot() methods.
-
-	http://cars9.uchicago.edu/~newville/Python/MPlot/
-
-3. Embed the PlotPanel from Ken McIvor wxmpl module and draw plots on
-   it using the matplotlib's object-oriented API.
-
-	http://agni.phys.iit.edu/~kmcivor/wxmpl/
-
-Each of these approachs has different benefits and drawbacks, so I
-encourage you to evaluate each of them and select the one that best
-meets your needs.
diff --git a/examples/user_interfaces/embedding_in_gtk.py b/examples/user_interfaces/embedding_in_gtk.py
deleted file mode 100644
index 00afdcd4f35d..000000000000
--- a/examples/user_interfaces/embedding_in_gtk.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-"""
-show how to add a matplotlib FigureCanvasGTK or FigureCanvasGTKAgg widget to a
-gtk.Window
-"""
-
-import gtk
-
-from matplotlib.figure import Figure
-from numpy import arange, sin, pi
-
-# uncomment to select /GTK/GTKAgg/GTKCairo
-#from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
-from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
-#from matplotlib.backends.backend_gtkcairo import FigureCanvasGTKCairo as FigureCanvas
-
-
-win = gtk.Window()
-win.connect("destroy", lambda x: gtk.main_quit())
-win.set_default_size(400, 300)
-win.set_title("Embedding in GTK")
-
-f = Figure(figsize=(5, 4), dpi=100)
-a = f.add_subplot(111)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-a.plot(t, s)
-
-canvas = FigureCanvas(f)  # a gtk.DrawingArea
-win.add(canvas)
-
-win.show_all()
-gtk.main()
diff --git a/examples/user_interfaces/embedding_in_gtk2.py b/examples/user_interfaces/embedding_in_gtk2.py
deleted file mode 100644
index 898f5ea88633..000000000000
--- a/examples/user_interfaces/embedding_in_gtk2.py
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/usr/bin/env python
-"""
-show how to add a matplotlib FigureCanvasGTK or FigureCanvasGTKAgg widget and
-a toolbar to a gtk.Window
-"""
-import gtk
-
-from matplotlib.figure import Figure
-from numpy import arange, sin, pi
-
-# uncomment to select /GTK/GTKAgg/GTKCairo
-#from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
-from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
-#from matplotlib.backends.backend_gtkcairo import FigureCanvasGTKCairo as FigureCanvas
-
-# or NavigationToolbar for classic
-#from matplotlib.backends.backend_gtk import NavigationToolbar2GTK as NavigationToolbar
-from matplotlib.backends.backend_gtkagg import NavigationToolbar2GTKAgg as NavigationToolbar
-
-# implement the default mpl key bindings
-from matplotlib.backend_bases import key_press_handler
-
-win = gtk.Window()
-win.connect("destroy", lambda x: gtk.main_quit())
-win.set_default_size(400, 300)
-win.set_title("Embedding in GTK")
-
-vbox = gtk.VBox()
-win.add(vbox)
-
-fig = Figure(figsize=(5, 4), dpi=100)
-ax = fig.add_subplot(111)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-
-ax.plot(t, s)
-
-
-canvas = FigureCanvas(fig)  # a gtk.DrawingArea
-vbox.pack_start(canvas)
-toolbar = NavigationToolbar(canvas, win)
-vbox.pack_start(toolbar, False, False)
-
-
-def on_key_event(event):
-    print('you pressed %s' % event.key)
-    key_press_handler(event, canvas, toolbar)
-
-canvas.mpl_connect('key_press_event', on_key_event)
-
-win.show_all()
-gtk.main()
diff --git a/examples/user_interfaces/embedding_in_gtk3.py b/examples/user_interfaces/embedding_in_gtk3.py
deleted file mode 100755
index c852318c40a8..000000000000
--- a/examples/user_interfaces/embedding_in_gtk3.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-"""
-demonstrate adding a FigureCanvasGTK3Agg widget to a Gtk.ScrolledWindow
-using GTK3 accessed via pygobject
-"""
-
-from gi.repository import Gtk
-
-from matplotlib.figure import Figure
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg as FigureCanvas
-
-win = Gtk.Window()
-win.connect("delete-event", Gtk.main_quit)
-win.set_default_size(400, 300)
-win.set_title("Embedding in GTK")
-
-f = Figure(figsize=(5, 4), dpi=100)
-a = f.add_subplot(111)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-a.plot(t, s)
-
-sw = Gtk.ScrolledWindow()
-win.add(sw)
-# A scrolled window border goes outside the scrollbars and viewport
-sw.set_border_width(10)
-
-canvas = FigureCanvas(f)  # a Gtk.DrawingArea
-canvas.set_size_request(800, 600)
-sw.add_with_viewport(canvas)
-
-win.show_all()
-Gtk.main()
diff --git a/examples/user_interfaces/embedding_in_gtk3_panzoom.py b/examples/user_interfaces/embedding_in_gtk3_panzoom.py
deleted file mode 100644
index c895561d7f42..000000000000
--- a/examples/user_interfaces/embedding_in_gtk3_panzoom.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-"""
-demonstrate NavigationToolbar with GTK3 accessed via pygobject
-"""
-
-from gi.repository import Gtk
-
-from matplotlib.figure import Figure
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg as FigureCanvas
-from matplotlib.backends.backend_gtk3 import NavigationToolbar2GTK3 as NavigationToolbar
-
-win = Gtk.Window()
-win.connect("delete-event", Gtk.main_quit)
-win.set_default_size(400, 300)
-win.set_title("Embedding in GTK")
-
-f = Figure(figsize=(5, 4), dpi=100)
-a = f.add_subplot(1, 1, 1)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-a.plot(t, s)
-
-vbox = Gtk.VBox()
-win.add(vbox)
-
-# Add canvas to vbox
-canvas = FigureCanvas(f)  # a Gtk.DrawingArea
-vbox.pack_start(canvas, True, True, 0)
-
-# Create toolbar
-toolbar = NavigationToolbar(canvas, win)
-vbox.pack_start(toolbar, False, False, 0)
-
-win.show_all()
-Gtk.main()
diff --git a/examples/user_interfaces/embedding_in_qt4.py b/examples/user_interfaces/embedding_in_qt4.py
deleted file mode 100755
index 5590466f7462..000000000000
--- a/examples/user_interfaces/embedding_in_qt4.py
+++ /dev/null
@@ -1,139 +0,0 @@
-#!/usr/bin/env python
-
-# embedding_in_qt4.py --- Simple Qt4 application embedding matplotlib canvases
-#
-# Copyright (C) 2005 Florent Rougon
-#               2006 Darren Dale
-#
-# This file is an example program for matplotlib. It may be used and
-# modified with no restriction; raw copies as well as modified versions
-# may be distributed without limitation.
-
-from __future__ import unicode_literals
-import sys
-import os
-import random
-from matplotlib.backends import qt4_compat
-use_pyside = qt4_compat.QT_API == qt4_compat.QT_API_PYSIDE
-if use_pyside:
-    from PySide import QtGui, QtCore
-else:
-    from PyQt4 import QtGui, QtCore
-
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
-from matplotlib.figure import Figure
-
-progname = os.path.basename(sys.argv[0])
-progversion = "0.1"
-
-
-class MyMplCanvas(FigureCanvas):
-    """Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
-
-    def __init__(self, parent=None, width=5, height=4, dpi=100):
-        fig = Figure(figsize=(width, height), dpi=dpi)
-        self.axes = fig.add_subplot(111)
-        # We want the axes cleared every time plot() is called
-        self.axes.hold(False)
-
-        self.compute_initial_figure()
-
-        #
-        FigureCanvas.__init__(self, fig)
-        self.setParent(parent)
-
-        FigureCanvas.setSizePolicy(self,
-                                   QtGui.QSizePolicy.Expanding,
-                                   QtGui.QSizePolicy.Expanding)
-        FigureCanvas.updateGeometry(self)
-
-    def compute_initial_figure(self):
-        pass
-
-
-class MyStaticMplCanvas(MyMplCanvas):
-    """Simple canvas with a sine plot."""
-
-    def compute_initial_figure(self):
-        t = arange(0.0, 3.0, 0.01)
-        s = sin(2*pi*t)
-        self.axes.plot(t, s)
-
-
-class MyDynamicMplCanvas(MyMplCanvas):
-    """A canvas that updates itself every second with a new plot."""
-
-    def __init__(self, *args, **kwargs):
-        MyMplCanvas.__init__(self, *args, **kwargs)
-        timer = QtCore.QTimer(self)
-        timer.timeout.connect(self.update_figure)
-        timer.start(1000)
-
-    def compute_initial_figure(self):
-        self.axes.plot([0, 1, 2, 3], [1, 2, 0, 4], 'r')
-
-    def update_figure(self):
-        # Build a list of 4 random integers between 0 and 10 (both inclusive)
-        l = [random.randint(0, 10) for i in range(4)]
-
-        self.axes.plot([0, 1, 2, 3], l, 'r')
-        self.draw()
-
-
-class ApplicationWindow(QtGui.QMainWindow):
-    def __init__(self):
-        QtGui.QMainWindow.__init__(self)
-        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
-        self.setWindowTitle("application main window")
-
-        self.file_menu = QtGui.QMenu('&File', self)
-        self.file_menu.addAction('&Quit', self.fileQuit,
-                                 QtCore.Qt.CTRL + QtCore.Qt.Key_Q)
-        self.menuBar().addMenu(self.file_menu)
-
-        self.help_menu = QtGui.QMenu('&Help', self)
-        self.menuBar().addSeparator()
-        self.menuBar().addMenu(self.help_menu)
-
-        self.help_menu.addAction('&About', self.about)
-
-        self.main_widget = QtGui.QWidget(self)
-
-        l = QtGui.QVBoxLayout(self.main_widget)
-        sc = MyStaticMplCanvas(self.main_widget, width=5, height=4, dpi=100)
-        dc = MyDynamicMplCanvas(self.main_widget, width=5, height=4, dpi=100)
-        l.addWidget(sc)
-        l.addWidget(dc)
-
-        self.main_widget.setFocus()
-        self.setCentralWidget(self.main_widget)
-
-        self.statusBar().showMessage("All hail matplotlib!", 2000)
-
-    def fileQuit(self):
-        self.close()
-
-    def closeEvent(self, ce):
-        self.fileQuit()
-
-    def about(self):
-        QtGui.QMessageBox.about(self, "About",
-                                """embedding_in_qt4.py example
-Copyright 2005 Florent Rougon, 2006 Darren Dale
-
-This program is a simple example of a Qt4 application embedding matplotlib
-canvases.
-
-It may be used and modified with no restriction; raw copies as well as
-modified versions may be distributed without limitation."""
-                                )
-
-
-qApp = QtGui.QApplication(sys.argv)
-
-aw = ApplicationWindow()
-aw.setWindowTitle("%s" % progname)
-aw.show()
-sys.exit(qApp.exec_())
-#qApp.exec_()
diff --git a/examples/user_interfaces/embedding_in_qt4_wtoolbar.py b/examples/user_interfaces/embedding_in_qt4_wtoolbar.py
deleted file mode 100644
index b087e9d73dfd..000000000000
--- a/examples/user_interfaces/embedding_in_qt4_wtoolbar.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from __future__ import print_function
-
-import sys
-
-import numpy as np
-from matplotlib.figure import Figure
-from matplotlib.backend_bases import key_press_handler
-from matplotlib.backends.backend_qt4agg import (
-    FigureCanvasQTAgg as FigureCanvas,
-    NavigationToolbar2QT as NavigationToolbar)
-from matplotlib.backends import qt4_compat
-use_pyside = qt4_compat.QT_API == qt4_compat.QT_API_PYSIDE
-
-if use_pyside:
-    from PySide.QtCore import *
-    from PySide.QtGui import *
-else:
-    from PyQt4.QtCore import *
-    from PyQt4.QtGui import *
-
-
-class AppForm(QMainWindow):
-    def __init__(self, parent=None):
-        QMainWindow.__init__(self, parent)
-        #self.x, self.y = self.get_data()
-        self.data = self.get_data2()
-        self.create_main_frame()
-        self.on_draw()
-
-    def create_main_frame(self):
-        self.main_frame = QWidget()
-
-        self.fig = Figure((5.0, 4.0), dpi=100)
-        self.canvas = FigureCanvas(self.fig)
-        self.canvas.setParent(self.main_frame)
-        self.canvas.setFocusPolicy(Qt.StrongFocus)
-        self.canvas.setFocus()
-
-        self.mpl_toolbar = NavigationToolbar(self.canvas, self.main_frame)
-
-        self.canvas.mpl_connect('key_press_event', self.on_key_press)
-
-        vbox = QVBoxLayout()
-        vbox.addWidget(self.canvas)  # the matplotlib canvas
-        vbox.addWidget(self.mpl_toolbar)
-        self.main_frame.setLayout(vbox)
-        self.setCentralWidget(self.main_frame)
-
-    def get_data2(self):
-        return np.arange(20).reshape([4, 5]).copy()
-
-    def on_draw(self):
-        self.fig.clear()
-        self.axes = self.fig.add_subplot(111)
-        #self.axes.plot(self.x, self.y, 'ro')
-        self.axes.imshow(self.data, interpolation='nearest')
-        #self.axes.plot([1,2,3])
-        self.canvas.draw()
-
-    def on_key_press(self, event):
-        print('you pressed', event.key)
-        # implement the default mpl key press events described at
-        # http://matplotlib.org/users/navigation_toolbar.html#navigation-keyboard-shortcuts
-        key_press_handler(event, self.canvas, self.mpl_toolbar)
-
-
-def main():
-    app = QApplication(sys.argv)
-    form = AppForm()
-    form.show()
-    app.exec_()
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/user_interfaces/embedding_in_tk.py b/examples/user_interfaces/embedding_in_tk.py
deleted file mode 100755
index 4c93d25a9c84..000000000000
--- a/examples/user_interfaces/embedding_in_tk.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-
-import matplotlib
-matplotlib.use('TkAgg')
-
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
-# implement the default mpl key bindings
-from matplotlib.backend_bases import key_press_handler
-
-
-from matplotlib.figure import Figure
-
-import sys
-if sys.version_info[0] < 3:
-    import Tkinter as Tk
-else:
-    import tkinter as Tk
-
-root = Tk.Tk()
-root.wm_title("Embedding in TK")
-
-
-f = Figure(figsize=(5, 4), dpi=100)
-a = f.add_subplot(111)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-
-a.plot(t, s)
-
-
-# a tk.DrawingArea
-canvas = FigureCanvasTkAgg(f, master=root)
-canvas.show()
-canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-
-toolbar = NavigationToolbar2TkAgg(canvas, root)
-toolbar.update()
-canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-
-
-def on_key_event(event):
-    print('you pressed %s' % event.key)
-    key_press_handler(event, canvas, toolbar)
-
-canvas.mpl_connect('key_press_event', on_key_event)
-
-
-def _quit():
-    root.quit()     # stops mainloop
-    root.destroy()  # this is necessary on Windows to prevent
-                    # Fatal Python Error: PyEval_RestoreThread: NULL tstate
-
-button = Tk.Button(master=root, text='Quit', command=_quit)
-button.pack(side=Tk.BOTTOM)
-
-Tk.mainloop()
-# If you put root.destroy() here, it will cause an error if
-# the window is closed with the window manager.
diff --git a/examples/user_interfaces/embedding_in_tk2.py b/examples/user_interfaces/embedding_in_tk2.py
deleted file mode 100644
index c762873e5972..000000000000
--- a/examples/user_interfaces/embedding_in_tk2.py
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env python
-import matplotlib
-matplotlib.use('TkAgg')
-
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
-from matplotlib.figure import Figure
-
-import sys
-if sys.version_info[0] < 3:
-    import Tkinter as Tk
-else:
-    import tkinter as Tk
-
-
-def destroy(e):
-    sys.exit()
-
-root = Tk.Tk()
-root.wm_title("Embedding in TK")
-
-
-f = Figure(figsize=(5, 4), dpi=100)
-a = f.add_subplot(111)
-t = arange(0.0, 3.0, 0.01)
-s = sin(2*pi*t)
-
-a.plot(t, s)
-a.set_title('Tk embedding')
-a.set_xlabel('X axis label')
-a.set_ylabel('Y label')
-
-
-# a tk.DrawingArea
-canvas = FigureCanvasTkAgg(f, master=root)
-canvas.show()
-canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-
-canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-
-button = Tk.Button(master=root, text='Quit', command=sys.exit)
-button.pack(side=Tk.BOTTOM)
-
-Tk.mainloop()
diff --git a/examples/user_interfaces/embedding_in_tk_canvas.py b/examples/user_interfaces/embedding_in_tk_canvas.py
deleted file mode 100755
index b34431eda0b6..000000000000
--- a/examples/user_interfaces/embedding_in_tk_canvas.py
+++ /dev/null
@@ -1,60 +0,0 @@
-#!/usr/bin/env python
-# -*- noplot -*-
-
-import matplotlib as mpl
-import numpy as np
-import Tkinter as tk
-import matplotlib.backends.tkagg as tkagg
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-
-
-def draw_figure(canvas, figure, loc=(0, 0)):
-    """ Draw a matplotlib figure onto a Tk canvas
-
-    loc: location of top-left corner of figure on canvas in pixels.
-
-    Inspired by matplotlib source: lib/matplotlib/backends/backend_tkagg.py
-    """
-    figure_canvas_agg = FigureCanvasAgg(figure)
-    figure_canvas_agg.draw()
-    figure_x, figure_y, figure_w, figure_h = figure.bbox.bounds
-    figure_w, figure_h = int(figure_w), int(figure_h)
-    photo = tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)
-
-    # Position: convert from top-left anchor to center anchor
-    canvas.create_image(loc[0] + figure_w/2, loc[1] + figure_h/2, image=photo)
-
-    # Unfortunatly, there's no accessor for the pointer to the native renderer
-    tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
-
-    # Return a handle which contains a reference to the photo object
-    # which must be kept live or else the picture disappears
-    return photo
-
-# Create a canvas
-w, h = 300, 200
-window = tk.Tk()
-window.title("A figure in a canvas")
-canvas = tk.Canvas(window, width=w, height=h)
-canvas.pack()
-
-# Generate some example data
-X = np.linspace(0, 2.0*3.14, 50)
-Y = np.sin(X)
-
-# Create the figure we desire to add to an existing canvas
-fig = mpl.figure.Figure(figsize=(2, 1))
-ax = fig.add_axes([0, 0, 1, 1])
-ax.plot(X, Y)
-
-# Keep this handle alive, or else figure will disappear
-fig_x, fig_y = 100, 100
-fig_photo = draw_figure(canvas, fig, loc=(fig_x, fig_y))
-fig_w, fig_h = fig_photo.width(), fig_photo.height()
-
-# Add more elements to the canvas, potentially on top of the figure
-canvas.create_line(200, 50, fig_x + fig_w / 2, fig_y + fig_h / 2)
-canvas.create_text(200, 50, text="Zero-crossing", anchor="s")
-
-# Let Tk take over
-tk.mainloop()
diff --git a/examples/user_interfaces/embedding_in_wx2.py b/examples/user_interfaces/embedding_in_wx2.py
deleted file mode 100644
index 86ef0bc3f295..000000000000
--- a/examples/user_interfaces/embedding_in_wx2.py
+++ /dev/null
@@ -1,86 +0,0 @@
-#!/usr/bin/env python
-"""
-An example of how to use wx or wxagg in an application with the new
-toolbar - comment out the setA_toolbar line for no toolbar
-"""
-
-# Used to guarantee to use at least Wx2.8
-import wxversion
-wxversion.ensureMinimal('2.8')
-
-from numpy import arange, sin, pi
-
-import matplotlib
-
-# uncomment the following to use wx rather than wxagg
-#matplotlib.use('WX')
-#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas
-
-# comment out the following to use wx rather than wxagg
-matplotlib.use('WXAgg')
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
-
-from matplotlib.backends.backend_wx import NavigationToolbar2Wx
-
-from matplotlib.figure import Figure
-
-import wx
-
-
-class CanvasFrame(wx.Frame):
-    def __init__(self):
-        wx.Frame.__init__(self, None, -1,
-                          'CanvasFrame', size=(550, 350))
-
-        self.SetBackgroundColour(wx.NamedColour("WHITE"))
-
-        self.figure = Figure()
-        self.axes = self.figure.add_subplot(111)
-        t = arange(0.0, 3.0, 0.01)
-        s = sin(2*pi*t)
-
-        self.axes.plot(t, s)
-        self.canvas = FigureCanvas(self, -1, self.figure)
-
-        self.sizer = wx.BoxSizer(wx.VERTICAL)
-        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
-        self.SetSizer(self.sizer)
-        self.Fit()
-
-        self.add_toolbar()  # comment this out for no toolbar
-
-    def add_toolbar(self):
-        self.toolbar = NavigationToolbar2Wx(self.canvas)
-        self.toolbar.Realize()
-        if wx.Platform == '__WXMAC__':
-            # Mac platform (OSX 10.3, MacPython) does not seem to cope with
-            # having a toolbar in a sizer. This work-around gets the buttons
-            # back, but at the expense of having the toolbar at the top
-            self.SetToolBar(self.toolbar)
-        else:
-            # On Windows platform, default window size is incorrect, so set
-            # toolbar width to figure width.
-            tw, th = self.toolbar.GetSizeTuple()
-            fw, fh = self.canvas.GetSizeTuple()
-            # By adding toolbar in sizer, we are able to put it at the bottom
-            # of the frame - so appearance is closer to GTK version.
-            # As noted above, doesn't work for Mac.
-            self.toolbar.SetSize(wx.Size(fw, th))
-            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-        # update the axes menu on the toolbar
-        self.toolbar.update()
-
-    def OnPaint(self, event):
-        self.canvas.draw()
-
-
-class App(wx.App):
-    def OnInit(self):
-        'Create the main window and insert the custom frame'
-        frame = CanvasFrame()
-        frame.Show(True)
-
-        return True
-
-app = App(0)
-app.MainLoop()
diff --git a/examples/user_interfaces/embedding_in_wx3.py b/examples/user_interfaces/embedding_in_wx3.py
deleted file mode 100755
index 98357ba1aeab..000000000000
--- a/examples/user_interfaces/embedding_in_wx3.py
+++ /dev/null
@@ -1,165 +0,0 @@
-#!/usr/bin/env python
-
-"""
-Copyright (C) 2003-2004 Andrew Straw, Jeremy O'Donoghue and others
-
-License: This work is licensed under the PSF. A copy should be included
-with this source code, and is also available at
-http://www.python.org/psf/license.html
-
-This is yet another example of using matplotlib with wx.  Hopefully
-this is pretty full-featured:
-
-  - both matplotlib toolbar and WX buttons manipulate plot
-  - full wxApp framework, including widget interaction
-  - XRC (XML wxWidgets resource) file to create GUI (made with XRCed)
-
-This was derived from embedding_in_wx and dynamic_image_wxagg.
-
-Thanks to matplotlib and wx teams for creating such great software!
-
-"""
-from __future__ import print_function
-
-# Used to guarantee to use at least Wx2.8
-import wxversion
-wxversion.ensureMinimal('2.8')
-
-import sys
-import time
-import os
-import gc
-import matplotlib
-matplotlib.use('WXAgg')
-import matplotlib.cm as cm
-import matplotlib.cbook as cbook
-from matplotlib.backends.backend_wxagg import Toolbar, FigureCanvasWxAgg
-from matplotlib.figure import Figure
-import numpy as np
-
-import wx
-import wx.xrc as xrc
-
-ERR_TOL = 1e-5  # floating point slop for peak-detection
-
-
-matplotlib.rc('image', origin='lower')
-
-
-class PlotPanel(wx.Panel):
-    def __init__(self, parent):
-        wx.Panel.__init__(self, parent, -1)
-
-        self.fig = Figure((5, 4), 75)
-        self.canvas = FigureCanvasWxAgg(self, -1, self.fig)
-        self.toolbar = Toolbar(self.canvas)  # matplotlib toolbar
-        self.toolbar.Realize()
-        #self.toolbar.set_active([0,1])
-
-        # Now put all into a sizer
-        sizer = wx.BoxSizer(wx.VERTICAL)
-        # This way of adding to sizer allows resizing
-        sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
-        # Best to allow the toolbar to resize!
-        sizer.Add(self.toolbar, 0, wx.GROW)
-        self.SetSizer(sizer)
-        self.Fit()
-
-    def init_plot_data(self):
-        a = self.fig.add_subplot(111)
-
-        x = np.arange(120.0)*2*np.pi/60.0
-        y = np.arange(100.0)*2*np.pi/50.0
-        self.x, self.y = np.meshgrid(x, y)
-        z = np.sin(self.x) + np.cos(self.y)
-        self.im = a.imshow(z, cmap=cm.jet)  # , interpolation='nearest')
-
-        zmax = np.amax(z) - ERR_TOL
-        ymax_i, xmax_i = np.nonzero(z >= zmax)
-        if self.im.origin == 'upper':
-            ymax_i = z.shape[0] - ymax_i
-        self.lines = a.plot(xmax_i, ymax_i, 'ko')
-
-        self.toolbar.update()  # Not sure why this is needed - ADS
-
-    def GetToolBar(self):
-        # You will need to override GetToolBar if you are using an
-        # unmanaged toolbar in your frame
-        return self.toolbar
-
-    def OnWhiz(self, evt):
-        self.x += np.pi/15
-        self.y += np.pi/20
-        z = np.sin(self.x) + np.cos(self.y)
-        self.im.set_array(z)
-
-        zmax = np.amax(z) - ERR_TOL
-        ymax_i, xmax_i = np.nonzero(z >= zmax)
-        if self.im.origin == 'upper':
-            ymax_i = z.shape[0] - ymax_i
-        self.lines[0].set_data(xmax_i, ymax_i)
-
-        self.canvas.draw()
-
-    def onEraseBackground(self, evt):
-        # this is supposed to prevent redraw flicker on some X servers...
-        pass
-
-
-class MyApp(wx.App):
-    def OnInit(self):
-        xrcfile = cbook.get_sample_data('embedding_in_wx3.xrc', asfileobj=False)
-        print('loading', xrcfile)
-
-        self.res = xrc.XmlResource(xrcfile)
-
-        # main frame and panel ---------
-
-        self.frame = self.res.LoadFrame(None, "MainFrame")
-        self.panel = xrc.XRCCTRL(self.frame, "MainPanel")
-
-        # matplotlib panel -------------
-
-        # container for matplotlib panel (I like to make a container
-        # panel for our panel so I know where it'll go when in XRCed.)
-        plot_container = xrc.XRCCTRL(self.frame, "plot_container_panel")
-        sizer = wx.BoxSizer(wx.VERTICAL)
-
-        # matplotlib panel itself
-        self.plotpanel = PlotPanel(plot_container)
-        self.plotpanel.init_plot_data()
-
-        # wx boilerplate
-        sizer.Add(self.plotpanel, 1, wx.EXPAND)
-        plot_container.SetSizer(sizer)
-
-        # whiz button ------------------
-
-        whiz_button = xrc.XRCCTRL(self.frame, "whiz_button")
-        wx.EVT_BUTTON(whiz_button, whiz_button.GetId(),
-                      self.plotpanel.OnWhiz)
-
-        # bang button ------------------
-
-        bang_button = xrc.XRCCTRL(self.frame, "bang_button")
-        wx.EVT_BUTTON(bang_button, bang_button.GetId(),
-                      self.OnBang)
-
-        # final setup ------------------
-
-        sizer = self.panel.GetSizer()
-        self.frame.Show(1)
-
-        self.SetTopWindow(self.frame)
-
-        return True
-
-    def OnBang(self, event):
-        bang_count = xrc.XRCCTRL(self.frame, "bang_count")
-        bangs = bang_count.GetValue()
-        bangs = int(bangs) + 1
-        bang_count.SetValue(str(bangs))
-
-if __name__ == '__main__':
-    app = MyApp(0)
-    app.MainLoop()
diff --git a/examples/user_interfaces/embedding_in_wx4.py b/examples/user_interfaces/embedding_in_wx4.py
deleted file mode 100644
index 157bd802d0de..000000000000
--- a/examples/user_interfaces/embedding_in_wx4.py
+++ /dev/null
@@ -1,118 +0,0 @@
-#!/usr/bin/env python
-"""
-An example of how to use wx or wxagg in an application with a custom
-toolbar
-"""
-
-# Used to guarantee to use at least Wx2.8
-import wxversion
-wxversion.ensureMinimal('2.8')
-
-from numpy import arange, sin, pi
-
-import matplotlib
-
-matplotlib.use('WXAgg')
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
-from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg
-
-from matplotlib.backends.backend_wx import _load_bitmap
-from matplotlib.figure import Figure
-from numpy.random import rand
-
-import wx
-
-
-class MyNavigationToolbar(NavigationToolbar2WxAgg):
-    """
-    Extend the default wx toolbar with your own event handlers
-    """
-    ON_CUSTOM = wx.NewId()
-
-    def __init__(self, canvas, cankill):
-        NavigationToolbar2WxAgg.__init__(self, canvas)
-
-        # for simplicity I'm going to reuse a bitmap from wx, you'll
-        # probably want to add your own.
-        self.AddSimpleTool(self.ON_CUSTOM, _load_bitmap('stock_left.xpm'),
-                           'Click me', 'Activate custom contol')
-        wx.EVT_TOOL(self, self.ON_CUSTOM, self._on_custom)
-
-    def _on_custom(self, evt):
-        # add some text to the axes in a random location in axes (0,1)
-        # coords) with a random color
-
-        # get the axes
-        ax = self.canvas.figure.axes[0]
-
-        # generate a random location can color
-        x, y = tuple(rand(2))
-        rgb = tuple(rand(3))
-
-        # add the text and draw
-        ax.text(x, y, 'You clicked me',
-                transform=ax.transAxes,
-                color=rgb)
-        self.canvas.draw()
-        evt.Skip()
-
-
-class CanvasFrame(wx.Frame):
-    def __init__(self):
-        wx.Frame.__init__(self, None, -1,
-                          'CanvasFrame', size=(550, 350))
-
-        self.SetBackgroundColour(wx.NamedColour("WHITE"))
-
-        self.figure = Figure(figsize=(5, 4), dpi=100)
-        self.axes = self.figure.add_subplot(111)
-        t = arange(0.0, 3.0, 0.01)
-        s = sin(2*pi*t)
-
-        self.axes.plot(t, s)
-
-        self.canvas = FigureCanvas(self, -1, self.figure)
-
-        self.sizer = wx.BoxSizer(wx.VERTICAL)
-        self.sizer.Add(self.canvas, 1, wx.TOP | wx.LEFT | wx.EXPAND)
-        # Capture the paint message
-        wx.EVT_PAINT(self, self.OnPaint)
-
-        self.toolbar = MyNavigationToolbar(self.canvas, True)
-        self.toolbar.Realize()
-        if wx.Platform == '__WXMAC__':
-            # Mac platform (OSX 10.3, MacPython) does not seem to cope with
-            # having a toolbar in a sizer. This work-around gets the buttons
-            # back, but at the expense of having the toolbar at the top
-            self.SetToolBar(self.toolbar)
-        else:
-            # On Windows platform, default window size is incorrect, so set
-            # toolbar width to figure width.
-            tw, th = self.toolbar.GetSizeTuple()
-            fw, fh = self.canvas.GetSizeTuple()
-            # By adding toolbar in sizer, we are able to put it at the bottom
-            # of the frame - so appearance is closer to GTK version.
-            # As noted above, doesn't work for Mac.
-            self.toolbar.SetSize(wx.Size(fw, th))
-            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-
-        # update the axes menu on the toolbar
-        self.toolbar.update()
-        self.SetSizer(self.sizer)
-        self.Fit()
-
-    def OnPaint(self, event):
-        self.canvas.draw()
-        event.Skip()
-
-
-class App(wx.App):
-    def OnInit(self):
-        'Create the main window and insert the custom frame'
-        frame = CanvasFrame()
-        frame.Show(True)
-
-        return True
-
-app = App(0)
-app.MainLoop()
diff --git a/examples/user_interfaces/embedding_in_wx5.py b/examples/user_interfaces/embedding_in_wx5.py
deleted file mode 100644
index ba5a6b7374e5..000000000000
--- a/examples/user_interfaces/embedding_in_wx5.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# Used to guarantee to use at least Wx2.8
-import wxversion
-wxversion.ensureMinimal('2.8')
-
-import wx
-import wx.aui
-import matplotlib as mpl
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as Canvas
-from matplotlib.backends.backend_wxagg import NavigationToolbar2Wx as Toolbar
-
-
-class Plot(wx.Panel):
-    def __init__(self, parent, id=-1, dpi=None, **kwargs):
-        wx.Panel.__init__(self, parent, id=id, **kwargs)
-        self.figure = mpl.figure.Figure(dpi=dpi, figsize=(2, 2))
-        self.canvas = Canvas(self, -1, self.figure)
-        self.toolbar = Toolbar(self.canvas)
-        self.toolbar.Realize()
-
-        sizer = wx.BoxSizer(wx.VERTICAL)
-        sizer.Add(self.canvas, 1, wx.EXPAND)
-        sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-        self.SetSizer(sizer)
-
-
-class PlotNotebook(wx.Panel):
-    def __init__(self, parent, id=-1):
-        wx.Panel.__init__(self, parent, id=id)
-        self.nb = wx.aui.AuiNotebook(self)
-        sizer = wx.BoxSizer()
-        sizer.Add(self.nb, 1, wx.EXPAND)
-        self.SetSizer(sizer)
-
-    def add(self, name="plot"):
-        page = Plot(self.nb)
-        self.nb.AddPage(page, name)
-        return page.figure
-
-
-def demo():
-    app = wx.PySimpleApp()
-    frame = wx.Frame(None, -1, 'Plotter')
-    plotter = PlotNotebook(frame)
-    axes1 = plotter.add('figure 1').gca()
-    axes1.plot([1, 2, 3], [2, 1, 4])
-    axes2 = plotter.add('figure 2').gca()
-    axes2.plot([1, 2, 3, 4, 5], [2, 1, 4, 2, 3])
-    #axes1.figure.canvas.draw()
-    #axes2.figure.canvas.draw()
-    frame.Show()
-    app.MainLoop()
-
-if __name__ == "__main__":
-    demo()
diff --git a/examples/user_interfaces/embedding_webagg.py b/examples/user_interfaces/embedding_webagg.py
deleted file mode 100644
index 0a8c65746bdb..000000000000
--- a/examples/user_interfaces/embedding_webagg.py
+++ /dev/null
@@ -1,246 +0,0 @@
-"""
-This example demonstrates how to embed matplotlib WebAgg interactive
-plotting in your own web application and framework.  It is not
-necessary to do all this if you merely want to display a plot in a
-browser or use matplotlib's built-in Tornado-based server "on the
-side".
-
-The framework being used must support web sockets.
-"""
-
-import io
-
-try:
-    import tornado
-except ImportError:
-    raise RuntimeError("This example requires tornado.")
-import tornado.web
-import tornado.httpserver
-import tornado.ioloop
-import tornado.websocket
-
-
-from matplotlib.backends.backend_webagg_core import (
-    FigureManagerWebAgg, new_figure_manager_given_figure)
-from matplotlib.figure import Figure
-
-import numpy as np
-
-import json
-
-
-def create_figure():
-    """
-    Creates a simple example figure.
-    """
-    fig = Figure()
-    a = fig.add_subplot(111)
-    t = np.arange(0.0, 3.0, 0.01)
-    s = np.sin(2 * np.pi * t)
-    a.plot(t, s)
-    return fig
-
-
-# The following is the content of the web page.  You would normally
-# generate this using some sort of template facility in your web
-# framework, but here we just use Python string formatting.
-html_content = """
-<html>
-  <head>
-    <!-- TODO: There should be a way to include all of the required javascript
-               and CSS so matplotlib can add to the set in the future if it
-               needs to. -->
-    <link rel="stylesheet" href="_static/css/page.css" type="text/css">
-    <link rel="stylesheet" href="_static/css/boilerplate.css" type="text/css" />
-    <link rel="stylesheet" href="_static/css/fbm.css" type="text/css" />
-    <link rel="stylesheet" href="_static/jquery/css/themes/base/jquery-ui.min.css" >
-    <script src="_static/jquery/js/jquery-1.7.1.min.js"></script>
-    <script src="_static/jquery/js/jquery-ui.min.js"></script>
-    <script src="mpl.js"></script>
-
-    <script>
-      /* This is a callback that is called when the user saves
-         (downloads) a file.  Its purpose is really to map from a
-         figure and file format to a url in the application. */
-      function ondownload(figure, format) {
-        window.open('download.' + format, '_blank');
-      };
-
-      $(document).ready(
-        function() {
-          /* It is up to the application to provide a websocket that the figure
-             will use to communicate to the server.  This websocket object can
-             also be a "fake" websocket that underneath multiplexes messages
-             from multiple figures, if necessary. */
-          var websocket_type = mpl.get_websocket_type();
-          var websocket = new websocket_type("%(ws_uri)sws");
-
-          // mpl.figure creates a new figure on the webpage.
-          var fig = new mpl.figure(
-              // A unique numeric identifier for the figure
-              %(fig_id)s,
-              // A websocket object (or something that behaves like one)
-              websocket,
-              // A function called when a file type is selected for download
-              ondownload,
-              // The HTML element in which to place the figure
-              $('div#figure'));
-        }
-      );
-    </script>
-
-    <title>matplotlib</title>
-  </head>
-
-  <body>
-    <div id="figure">
-    </div>
-  </body>
-</html>
-"""
-
-
-class MyApplication(tornado.web.Application):
-    class MainPage(tornado.web.RequestHandler):
-        """
-        Serves the main HTML page.
-        """
-
-        def get(self):
-            manager = self.application.manager
-            ws_uri = "ws://{req.host}/".format(req=self.request)
-            content = html_content % {
-                "ws_uri": ws_uri, "fig_id": manager.num}
-            self.write(content)
-
-    class MplJs(tornado.web.RequestHandler):
-        """
-        Serves the generated matplotlib javascript file.  The content
-        is dynamically generated based on which toolbar functions the
-        user has defined.  Call `FigureManagerWebAgg` to get its
-        content.
-        """
-
-        def get(self):
-            self.set_header('Content-Type', 'application/javascript')
-            js_content = FigureManagerWebAgg.get_javascript()
-
-            self.write(js_content)
-
-    class Download(tornado.web.RequestHandler):
-        """
-        Handles downloading of the figure in various file formats.
-        """
-
-        def get(self, fmt):
-            manager = self.application.manager
-
-            mimetypes = {
-                'ps': 'application/postscript',
-                'eps': 'application/postscript',
-                'pdf': 'application/pdf',
-                'svg': 'image/svg+xml',
-                'png': 'image/png',
-                'jpeg': 'image/jpeg',
-                'tif': 'image/tiff',
-                'emf': 'application/emf'
-            }
-
-            self.set_header('Content-Type', mimetypes.get(fmt, 'binary'))
-
-            buff = io.BytesIO()
-            manager.canvas.print_figure(buff, format=fmt)
-            self.write(buff.getvalue())
-
-    class WebSocket(tornado.websocket.WebSocketHandler):
-        """
-        A websocket for interactive communication between the plot in
-        the browser and the server.
-
-        In addition to the methods required by tornado, it is required to
-        have two callback methods:
-
-            - ``send_json(json_content)`` is called by matplotlib when
-              it needs to send json to the browser.  `json_content` is
-              a JSON tree (Python dictionary), and it is the responsibility
-              of this implementation to encode it as a string to send over
-              the socket.
-
-            - ``send_binary(blob)`` is called to send binary image data
-              to the browser.
-        """
-        supports_binary = True
-
-        def open(self):
-            # Register the websocket with the FigureManager.
-            manager = self.application.manager
-            manager.add_web_socket(self)
-            if hasattr(self, 'set_nodelay'):
-                self.set_nodelay(True)
-
-        def on_close(self):
-            # When the socket is closed, deregister the websocket with
-            # the FigureManager.
-            manager = self.application.manager
-            manager.remove_web_socket(self)
-
-        def on_message(self, message):
-            # The 'supports_binary' message is relevant to the
-            # websocket itself.  The other messages get passed along
-            # to matplotlib as-is.
-
-            # Every message has a "type" and a "figure_id".
-            message = json.loads(message)
-            if message['type'] == 'supports_binary':
-                self.supports_binary = message['value']
-            else:
-                manager = self.application.manager
-                manager.handle_json(message)
-
-        def send_json(self, content):
-            self.write_message(json.dumps(content))
-
-        def send_binary(self, blob):
-            if self.supports_binary:
-                self.write_message(blob, binary=True)
-            else:
-                data_uri = "data:image/png;base64,{0}".format(
-                    blob.encode('base64').replace('\n', ''))
-                self.write_message(data_uri)
-
-    def __init__(self, figure):
-        self.figure = figure
-        self.manager = new_figure_manager_given_figure(
-            id(figure), figure)
-
-        super(MyApplication, self).__init__([
-            # Static files for the CSS and JS
-            (r'/_static/(.*)',
-             tornado.web.StaticFileHandler,
-             {'path': FigureManagerWebAgg.get_static_file_path()}),
-
-            # The page that contains all of the pieces
-            ('/', self.MainPage),
-
-            ('/mpl.js', self.MplJs),
-
-            # Sends images and events to the browser, and receives
-            # events from the browser
-            ('/ws', self.WebSocket),
-
-            # Handles the downloading (i.e., saving) of static images
-            (r'/download.([a-z0-9.]+)', self.Download),
-        ])
-
-
-if __name__ == "__main__":
-    figure = create_figure()
-    application = MyApplication(figure)
-
-    http_server = tornado.httpserver.HTTPServer(application)
-    http_server.listen(8080)
-
-    print("http://127.0.0.1:8080/")
-    print("Press Ctrl+C to quit")
-
-    tornado.ioloop.IOLoop.instance().start()
diff --git a/examples/user_interfaces/fourier_demo_wx.py b/examples/user_interfaces/fourier_demo_wx.py
deleted file mode 100644
index d03a6e0b89cb..000000000000
--- a/examples/user_interfaces/fourier_demo_wx.py
+++ /dev/null
@@ -1,216 +0,0 @@
-import numpy as np
-import wx
-
-import matplotlib
-matplotlib.interactive(False)
-matplotlib.use('WXAgg')
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
-from matplotlib.figure import Figure
-from matplotlib.pyplot import gcf, setp
-
-
-class Knob(object):
-    """
-    Knob - simple class with a "setKnob" method.
-    A Knob instance is attached to a Param instance, e.g., param.attach(knob)
-    Base class is for documentation purposes.
-    """
-
-    def setKnob(self, value):
-        pass
-
-
-class Param(object):
-    """
-    The idea of the "Param" class is that some parameter in the GUI may have
-    several knobs that both control it and reflect the parameter's state, e.g.
-    a slider, text, and dragging can all change the value of the frequency in
-    the waveform of this example.
-    The class allows a cleaner way to update/"feedback" to the other knobs when
-    one is being changed.  Also, this class handles min/max constraints for all
-    the knobs.
-    Idea - knob list - in "set" method, knob object is passed as well
-      - the other knobs in the knob list have a "set" method which gets
-        called for the others.
-    """
-
-    def __init__(self, initialValue=None, minimum=0., maximum=1.):
-        self.minimum = minimum
-        self.maximum = maximum
-        if initialValue != self.constrain(initialValue):
-            raise ValueError('illegal initial value')
-        self.value = initialValue
-        self.knobs = []
-
-    def attach(self, knob):
-        self.knobs += [knob]
-
-    def set(self, value, knob=None):
-        self.value = value
-        self.value = self.constrain(value)
-        for feedbackKnob in self.knobs:
-            if feedbackKnob != knob:
-                feedbackKnob.setKnob(self.value)
-        return self.value
-
-    def constrain(self, value):
-        if value <= self.minimum:
-            value = self.minimum
-        if value >= self.maximum:
-            value = self.maximum
-        return value
-
-
-class SliderGroup(Knob):
-    def __init__(self, parent, label, param):
-        self.sliderLabel = wx.StaticText(parent, label=label)
-        self.sliderText = wx.TextCtrl(parent, -1, style=wx.TE_PROCESS_ENTER)
-        self.slider = wx.Slider(parent, -1)
-        self.slider.SetMax(param.maximum*1000)
-        self.setKnob(param.value)
-
-        sizer = wx.BoxSizer(wx.HORIZONTAL)
-        sizer.Add(self.sliderLabel, 0, wx.EXPAND | wx.ALIGN_CENTER | wx.ALL, border=2)
-        sizer.Add(self.sliderText, 0, wx.EXPAND | wx.ALIGN_CENTER | wx.ALL, border=2)
-        sizer.Add(self.slider, 1, wx.EXPAND)
-        self.sizer = sizer
-
-        self.slider.Bind(wx.EVT_SLIDER, self.sliderHandler)
-        self.sliderText.Bind(wx.EVT_TEXT_ENTER, self.sliderTextHandler)
-
-        self.param = param
-        self.param.attach(self)
-
-    def sliderHandler(self, evt):
-        value = evt.GetInt() / 1000.
-        self.param.set(value)
-
-    def sliderTextHandler(self, evt):
-        value = float(self.sliderText.GetValue())
-        self.param.set(value)
-
-    def setKnob(self, value):
-        self.sliderText.SetValue('%g' % value)
-        self.slider.SetValue(value*1000)
-
-
-class FourierDemoFrame(wx.Frame):
-    def __init__(self, *args, **kwargs):
-        wx.Frame.__init__(self, *args, **kwargs)
-
-        self.fourierDemoWindow = FourierDemoWindow(self)
-        self.frequencySliderGroup = SliderGroup(self, label='Frequency f0:',
-                                                param=self.fourierDemoWindow.f0)
-        self.amplitudeSliderGroup = SliderGroup(self, label=' Amplitude a:',
-                                                param=self.fourierDemoWindow.A)
-
-        sizer = wx.BoxSizer(wx.VERTICAL)
-        sizer.Add(self.fourierDemoWindow, 1, wx.EXPAND)
-        sizer.Add(self.frequencySliderGroup.sizer, 0,
-                  wx.EXPAND | wx.ALIGN_CENTER | wx.ALL, border=5)
-        sizer.Add(self.amplitudeSliderGroup.sizer, 0,
-                  wx.EXPAND | wx.ALIGN_CENTER | wx.ALL, border=5)
-        self.SetSizer(sizer)
-
-
-class FourierDemoWindow(wx.Window, Knob):
-    def __init__(self, *args, **kwargs):
-        wx.Window.__init__(self, *args, **kwargs)
-        self.lines = []
-        self.figure = Figure()
-        self.canvas = FigureCanvasWxAgg(self, -1, self.figure)
-        self.canvas.callbacks.connect('button_press_event', self.mouseDown)
-        self.canvas.callbacks.connect('motion_notify_event', self.mouseMotion)
-        self.canvas.callbacks.connect('button_release_event', self.mouseUp)
-        self.state = ''
-        self.mouseInfo = (None, None, None, None)
-        self.f0 = Param(2., minimum=0., maximum=6.)
-        self.A = Param(1., minimum=0.01, maximum=2.)
-        self.draw()
-
-        # Not sure I like having two params attached to the same Knob,
-        # but that is what we have here... it works but feels kludgy -
-        # although maybe it's not too bad since the knob changes both params
-        # at the same time (both f0 and A are affected during a drag)
-        self.f0.attach(self)
-        self.A.attach(self)
-        self.Bind(wx.EVT_SIZE, self.sizeHandler)
-
-    def sizeHandler(self, *args, **kwargs):
-        self.canvas.SetSize(self.GetSize())
-
-    def mouseDown(self, evt):
-        if self.lines[0] in self.figure.hitlist(evt):
-            self.state = 'frequency'
-        elif self.lines[1] in self.figure.hitlist(evt):
-            self.state = 'time'
-        else:
-            self.state = ''
-        self.mouseInfo = (evt.xdata, evt.ydata, max(self.f0.value, .1), self.A.value)
-
-    def mouseMotion(self, evt):
-        if self.state == '':
-            return
-        x, y = evt.xdata, evt.ydata
-        if x is None:  # outside the axes
-            return
-        x0, y0, f0Init, AInit = self.mouseInfo
-        self.A.set(AInit + (AInit*(y - y0)/y0), self)
-        if self.state == 'frequency':
-            self.f0.set(f0Init + (f0Init*(x - x0)/x0))
-        elif self.state == 'time':
-            if (x - x0)/x0 != -1.:
-                self.f0.set(1./(1./f0Init + (1./f0Init*(x - x0)/x0)))
-
-    def mouseUp(self, evt):
-        self.state = ''
-
-    def draw(self):
-        if not hasattr(self, 'subplot1'):
-            self.subplot1 = self.figure.add_subplot(211)
-            self.subplot2 = self.figure.add_subplot(212)
-        x1, y1, x2, y2 = self.compute(self.f0.value, self.A.value)
-        color = (1., 0., 0.)
-        self.lines += self.subplot1.plot(x1, y1, color=color, linewidth=2)
-        self.lines += self.subplot2.plot(x2, y2, color=color, linewidth=2)
-        # Set some plot attributes
-        self.subplot1.set_title("Click and drag waveforms to change frequency and amplitude", fontsize=12)
-        self.subplot1.set_ylabel("Frequency Domain Waveform X(f)", fontsize=8)
-        self.subplot1.set_xlabel("frequency f", fontsize=8)
-        self.subplot2.set_ylabel("Time Domain Waveform x(t)", fontsize=8)
-        self.subplot2.set_xlabel("time t", fontsize=8)
-        self.subplot1.set_xlim([-6, 6])
-        self.subplot1.set_ylim([0, 1])
-        self.subplot2.set_xlim([-2, 2])
-        self.subplot2.set_ylim([-2, 2])
-        self.subplot1.text(0.05, .95, r'$X(f) = \mathcal{F}\{x(t)\}$',
-                           verticalalignment='top', transform=self.subplot1.transAxes)
-        self.subplot2.text(0.05, .95, r'$x(t) = a \cdot \cos(2\pi f_0 t) e^{-\pi t^2}$',
-                           verticalalignment='top', transform=self.subplot2.transAxes)
-
-    def compute(self, f0, A):
-        f = np.arange(-6., 6., 0.02)
-        t = np.arange(-2., 2., 0.01)
-        x = A*np.cos(2*np.pi*f0*t)*np.exp(-np.pi*t**2)
-        X = A/2*(np.exp(-np.pi*(f - f0)**2) + np.exp(-np.pi*(f + f0)**2))
-        return f, X, t, x
-
-    def repaint(self):
-        self.canvas.draw()
-
-    def setKnob(self, value):
-        # Note, we ignore value arg here and just go by state of the params
-        x1, y1, x2, y2 = self.compute(self.f0.value, self.A.value)
-        setp(self.lines[0], xdata=x1, ydata=y1)
-        setp(self.lines[1], xdata=x2, ydata=y2)
-        self.repaint()
-
-
-class App(wx.App):
-    def OnInit(self):
-        self.frame1 = FourierDemoFrame(parent=None, title="Fourier Demo", size=(640, 480))
-        self.frame1.Show()
-        return True
-
-app = App()
-app.MainLoop()
diff --git a/examples/user_interfaces/gtk_spreadsheet.py b/examples/user_interfaces/gtk_spreadsheet.py
deleted file mode 100644
index efe2e43cf701..000000000000
--- a/examples/user_interfaces/gtk_spreadsheet.py
+++ /dev/null
@@ -1,91 +0,0 @@
-#!/usr/bin/env python
-"""
-Example of embedding matplotlib in an application and interacting with
-a treeview to store data.  Double click on an entry to update plot
-data
-
-"""
-import pygtk
-pygtk.require('2.0')
-import gtk
-from gtk import gdk
-
-import matplotlib
-matplotlib.use('GTKAgg')  # or 'GTK'
-from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
-
-from numpy.random import random
-from matplotlib.figure import Figure
-
-
-class DataManager(gtk.Window):
-    numRows, numCols = 20, 10
-
-    data = random((numRows, numCols))
-
-    def __init__(self):
-        gtk.Window.__init__(self)
-        self.set_default_size(600, 600)
-        self.connect('destroy', lambda win: gtk.main_quit())
-
-        self.set_title('GtkListStore demo')
-        self.set_border_width(8)
-
-        vbox = gtk.VBox(False, 8)
-        self.add(vbox)
-
-        label = gtk.Label('Double click a row to plot the data')
-
-        vbox.pack_start(label, False, False)
-
-        sw = gtk.ScrolledWindow()
-        sw.set_shadow_type(gtk.SHADOW_ETCHED_IN)
-        sw.set_policy(gtk.POLICY_NEVER,
-                      gtk.POLICY_AUTOMATIC)
-        vbox.pack_start(sw, True, True)
-
-        model = self.create_model()
-
-        self.treeview = gtk.TreeView(model)
-        self.treeview.set_rules_hint(True)
-
-        # matplotlib stuff
-        fig = Figure(figsize=(6, 4))
-
-        self.canvas = FigureCanvas(fig)  # a gtk.DrawingArea
-        vbox.pack_start(self.canvas, True, True)
-        ax = fig.add_subplot(111)
-        self.line, = ax.plot(self.data[0, :], 'go')  # plot the first row
-
-        self.treeview.connect('row-activated', self.plot_row)
-        sw.add(self.treeview)
-
-        self.add_columns()
-
-        self.add_events(gdk.BUTTON_PRESS_MASK |
-                        gdk.KEY_PRESS_MASK |
-                        gdk.KEY_RELEASE_MASK)
-
-    def plot_row(self, treeview, path, view_column):
-        ind, = path  # get the index into data
-        points = self.data[ind, :]
-        self.line.set_ydata(points)
-        self.canvas.draw()
-
-    def add_columns(self):
-        for i in range(self.numCols):
-            column = gtk.TreeViewColumn('%d' % i, gtk.CellRendererText(), text=i)
-            self.treeview.append_column(column)
-
-    def create_model(self):
-        types = [float]*self.numCols
-        store = gtk.ListStore(*types)
-
-        for row in self.data:
-            store.append(row)
-        return store
-
-
-manager = DataManager()
-manager.show_all()
-gtk.main()
diff --git a/examples/user_interfaces/histogram_demo_canvasagg.py b/examples/user_interfaces/histogram_demo_canvasagg.py
deleted file mode 100644
index 3d48c455043e..000000000000
--- a/examples/user_interfaces/histogram_demo_canvasagg.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-"""
-This is an example that shows you how to work directly with the agg
-figure canvas to create a figure using the pythonic API.
-
-In this example, the contents of the agg canvas are extracted to a
-string, which can in turn be passed off to PIL or put in a numeric
-array
-
-
-"""
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-from matplotlib.figure import Figure
-from matplotlib.mlab import normpdf
-from numpy.random import randn
-import numpy
-
-fig = Figure(figsize=(5, 4), dpi=100)
-ax = fig.add_subplot(111)
-
-canvas = FigureCanvasAgg(fig)
-
-mu, sigma = 100, 15
-x = mu + sigma*randn(10000)
-
-# the histogram of the data
-n, bins, patches = ax.hist(x, 50, normed=1)
-
-# add a 'best fit' line
-y = normpdf(bins, mu, sigma)
-line, = ax.plot(bins, y, 'r--')
-line.set_linewidth(1)
-
-ax.set_xlabel('Smarts')
-ax.set_ylabel('Probability')
-ax.set_title(r'$\mathrm{Histogram of IQ: }\mu=100, \sigma=15$')
-
-ax.set_xlim((40, 160))
-ax.set_ylim((0, 0.03))
-
-canvas.draw()
-
-s = canvas.tostring_rgb()  # save this and convert to bitmap as needed
-
-# get the figure dimensions for creating bitmaps or numpy arrays,
-# etc.
-l, b, w, h = fig.bbox.bounds
-w, h = int(w), int(h)
-
-if 0:
-    # convert to a numpy array
-    X = numpy.fromstring(s, numpy.uint8)
-    X.shape = h, w, 3
-
-if 0:
-    # pass off to PIL
-    from PIL import Image
-    im = Image.fromstring("RGB", (w, h), s)
-    im.show()
diff --git a/examples/user_interfaces/interactive.py b/examples/user_interfaces/interactive.py
deleted file mode 100755
index ec3ab637b97a..000000000000
--- a/examples/user_interfaces/interactive.py
+++ /dev/null
@@ -1,245 +0,0 @@
-#!/usr/bin/env python
-
-"""Multithreaded interactive interpreter with GTK and Matplotlib support.
-
-WARNING:
-As of 2010/06/25, this is not working, at least on Linux.
-I have disabled it as a runnable script. - EF
-
-
-Usage:
-
-  pyint-gtk.py -> starts shell with gtk thread running separately
-
-  pyint-gtk.py -pylab [filename] -> initializes matplotlib, optionally running
-  the named file.  The shell starts after the file is executed.
-
-Threading code taken from:
-http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/65109, by Brian
-McErlean and John Finlay.
-
-Matplotlib support taken from interactive.py in the matplotlib distribution.
-
-Also borrows liberally from code.py in the Python standard library."""
-
-from __future__ import print_function
-
-__author__ = "Fernando Perez <Fernando.Perez@colorado.edu>"
-
-import sys
-import code
-import threading
-
-import gobject
-import gtk
-
-try:
-    import readline
-except ImportError:
-    has_readline = False
-else:
-    has_readline = True
-
-
-class MTConsole(code.InteractiveConsole):
-    """Simple multi-threaded shell"""
-
-    def __init__(self, on_kill=None, *args, **kw):
-        code.InteractiveConsole.__init__(self, *args, **kw)
-        self.code_to_run = None
-        self.ready = threading.Condition()
-        self._kill = False
-        if on_kill is None:
-            on_kill = []
-        # Check that all things to kill are callable:
-        for _ in on_kill:
-            if not callable(_):
-                raise TypeError('on_kill must be a list of callables')
-        self.on_kill = on_kill
-        # Set up tab-completer
-        if has_readline:
-            import rlcompleter
-            try:  # this form only works with python 2.3
-                self.completer = rlcompleter.Completer(self.locals)
-            except:  # simpler for py2.2
-                self.completer = rlcompleter.Completer()
-
-            readline.set_completer(self.completer.complete)
-            # Use tab for completions
-            readline.parse_and_bind('tab: complete')
-            # This forces readline to automatically print the above list when tab
-            # completion is set to 'complete'.
-            readline.parse_and_bind('set show-all-if-ambiguous on')
-            # Bindings for incremental searches in the history. These searches
-            # use the string typed so far on the command line and search
-            # anything in the previous input history containing them.
-            readline.parse_and_bind('"\C-r": reverse-search-history')
-            readline.parse_and_bind('"\C-s": forward-search-history')
-
-    def runsource(self, source, filename="<input>", symbol="single"):
-        """Compile and run some source in the interpreter.
-
-        Arguments are as for compile_command().
-
-        One several things can happen:
-
-        1) The input is incorrect; compile_command() raised an
-        exception (SyntaxError or OverflowError).  A syntax traceback
-        will be printed by calling the showsyntaxerror() method.
-
-        2) The input is incomplete, and more input is required;
-        compile_command() returned None.  Nothing happens.
-
-        3) The input is complete; compile_command() returned a code
-        object.  The code is executed by calling self.runcode() (which
-        also handles run-time exceptions, except for SystemExit).
-
-        The return value is True in case 2, False in the other cases (unless
-        an exception is raised).  The return value can be used to
-        decide whether to use sys.ps1 or sys.ps2 to prompt the next
-        line.
-        """
-        try:
-            code = self.compile(source, filename, symbol)
-        except (OverflowError, SyntaxError, ValueError):
-            # Case 1
-            self.showsyntaxerror(filename)
-            return False
-
-        if code is None:
-            # Case 2
-            return True
-
-        # Case 3
-        # Store code in self, so the execution thread can handle it
-        self.ready.acquire()
-        self.code_to_run = code
-        self.ready.wait()  # Wait until processed in timeout interval
-        self.ready.release()
-
-        return False
-
-    def runcode(self):
-        """Execute a code object.
-
-        When an exception occurs, self.showtraceback() is called to display a
-        traceback."""
-
-        self.ready.acquire()
-        if self._kill:
-            print('Closing threads...')
-            sys.stdout.flush()
-            for tokill in self.on_kill:
-                tokill()
-            print('Done.')
-
-        if self.code_to_run is not None:
-            self.ready.notify()
-            code.InteractiveConsole.runcode(self, self.code_to_run)
-
-        self.code_to_run = None
-        self.ready.release()
-        return True
-
-    def kill(self):
-        """Kill the thread, returning when it has been shut down."""
-        self.ready.acquire()
-        self._kill = True
-        self.ready.release()
-
-
-class GTKInterpreter(threading.Thread):
-    """Run gtk.main in the main thread and a python interpreter in a
-    separate thread.
-    Python commands can be passed to the thread where they will be executed.
-    This is implemented by periodically checking for passed code using a
-    GTK timeout callback.
-    """
-    TIMEOUT = 100  # Millisecond interval between timeouts.
-
-    def __init__(self, banner=None):
-        threading.Thread.__init__(self)
-        self.banner = banner
-        self.shell = MTConsole(on_kill=[gtk.main_quit])
-
-    def run(self):
-        self.pre_interact()
-        self.shell.interact(self.banner)
-        self.shell.kill()
-
-    def mainloop(self):
-        self.start()
-        gobject.timeout_add(self.TIMEOUT, self.shell.runcode)
-        try:
-            if gtk.gtk_version[0] >= 2:
-                gtk.gdk.threads_init()
-        except AttributeError:
-            pass
-        gtk.main()
-        self.join()
-
-    def pre_interact(self):
-        """This method should be overridden by subclasses.
-
-        It gets called right before interact(), but after the thread starts.
-        Typically used to push initialization code into the interpreter"""
-
-        pass
-
-
-class MatplotLibInterpreter(GTKInterpreter):
-    """Threaded interpreter with matplotlib support.
-
-    Note that this explicitly sets GTKAgg as the backend, since it has
-    specific GTK hooks in it."""
-
-    def __init__(self, banner=None):
-        banner = """\nWelcome to matplotlib, a MATLAB-like python environment.
-    help(matlab)   -> help on matlab compatible commands from matplotlib.
-    help(plotting) -> help on plotting commands.
-    """
-        GTKInterpreter.__init__(self, banner)
-
-    def pre_interact(self):
-        """Initialize matplotlib before user interaction begins"""
-
-        push = self.shell.push
-        # Code to execute in user's namespace
-        lines = ["import matplotlib",
-                 "matplotlib.use('GTKAgg')",
-                 "matplotlib.interactive(1)",
-                 "import matplotlib.pylab as pylab",
-                 "from matplotlib.pylab import *\n"]
-
-        map(push, lines)
-
-        # Execute file if given.
-        if len(sys.argv) > 1:
-            import matplotlib
-            matplotlib.interactive(0)  # turn off interaction
-            fname = sys.argv[1]
-            try:
-                inFile = file(fname, 'r')
-            except IOError:
-                print('*** ERROR *** Could not read file <%s>' % fname)
-            else:
-                print('*** Executing file <%s>:' % fname)
-                for line in inFile:
-                    if line.lstrip().find('show()') == 0:
-                        continue
-                    print('>>', line)
-                    push(line)
-                inFile.close()
-            matplotlib.interactive(1)   # turn on interaction
-
-if __name__ == '__main__':
-    print("This demo is not presently functional, so running")
-    print("it as a script has been disabled.")
-    sys.exit()
-    # Quick sys.argv hack to extract the option and leave filenames in sys.argv.
-    # For real option handling, use optparse or getopt.
-    if len(sys.argv) > 1 and sys.argv[1] == '-pylab':
-        sys.argv = [sys.argv[0]] + sys.argv[2:]
-        MatplotLibInterpreter().mainloop()
-    else:
-        GTKInterpreter().mainloop()
diff --git a/examples/user_interfaces/interactive2.py b/examples/user_interfaces/interactive2.py
deleted file mode 100755
index 6e174b0b7170..000000000000
--- a/examples/user_interfaces/interactive2.py
+++ /dev/null
@@ -1,383 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-
-#  GTK Interactive Console
-#  (C) 2003, Jon Anderson
-#  See www.python.org/2.2/license.html for
-#  license details.
-#
-import gtk
-import gtk.gdk
-
-import code
-import os
-import sys
-import pango
-
-import __builtin__
-import __main__
-
-
-banner = """GTK Interactive Python Console
-Thanks to Jon Anderson
-%s
-""" % sys.version
-
-banner += """
-
-Welcome to matplotlib.
-
-    help(matplotlib) -- some general information about matplotlib
-    help(plotting) -- shows a list of plot specific commands
-
-"""
-
-
-class Completer(object):
-    """
-    Taken from rlcompleter, with readline references stripped, and a local dictionary to use.
-    """
-
-    def __init__(self, locals):
-        self.locals = locals
-
-    def complete(self, text, state):
-        """Return the next possible completion for 'text'.
-        This is called successively with state == 0, 1, 2, ... until it
-        returns None.  The completion should begin with 'text'.
-
-        """
-        if state == 0:
-            if "." in text:
-                self.matches = self.attr_matches(text)
-            else:
-                self.matches = self.global_matches(text)
-        try:
-            return self.matches[state]
-        except IndexError:
-            return None
-
-    def global_matches(self, text):
-        """Compute matches when text is a simple name.
-
-        Return a list of all keywords, built-in functions and names
-        currently defines in __main__ that match.
-
-        """
-        import keyword
-        matches = []
-        n = len(text)
-        for list in [keyword.kwlist, __builtin__.__dict__.keys(), __main__.__dict__.keys(), self.locals.keys()]:
-            for word in list:
-                if word[:n] == text and word != "__builtins__":
-                    matches.append(word)
-        return matches
-
-    def attr_matches(self, text):
-        """Compute matches when text contains a dot.
-
-        Assuming the text is of the form NAME.NAME....[NAME], and is
-        evaluatable in the globals of __main__, it will be evaluated
-        and its attributes (as revealed by dir()) are used as possible
-        completions.  (For class instances, class members are are also
-        considered.)
-
-        WARNING: this can still invoke arbitrary C code, if an object
-        with a __getattr__ hook is evaluated.
-
-        """
-        import re
-        m = re.match(r"(\w+(\.\w+)*)\.(\w*)", text)
-        if not m:
-            return
-        expr, attr = m.group(1, 3)
-        object = eval(expr, __main__.__dict__, self.locals)
-        words = dir(object)
-        if hasattr(object, '__class__'):
-            words.append('__class__')
-            words = words + get_class_members(object.__class__)
-        matches = []
-        n = len(attr)
-        for word in words:
-            if word[:n] == attr and word != "__builtins__":
-                matches.append("%s.%s" % (expr, word))
-        return matches
-
-
-def get_class_members(klass):
-    ret = dir(klass)
-    if hasattr(klass, '__bases__'):
-        for base in klass.__bases__:
-            ret = ret + get_class_members(base)
-    return ret
-
-
-class OutputStream(object):
-    """
-    A Multiplexing output stream.
-    It can replace another stream, and tee output to the original stream and too
-    a GTK textview.
-    """
-
-    def __init__(self, view, old_out, style):
-        self.view = view
-        self.buffer = view.get_buffer()
-        self.mark = self.buffer.create_mark("End", self.buffer.get_end_iter(), False)
-        self.out = old_out
-        self.style = style
-        self.tee = 1
-
-    def write(self, text):
-        if self.tee:
-            self.out.write(text)
-
-        end = self.buffer.get_end_iter()
-
-        if self.view is not None:
-            self.view.scroll_to_mark(self.mark, 0, True, 1, 1)
-
-        self.buffer.insert_with_tags(end, text, self.style)
-
-
-class GTKInterpreterConsole(gtk.ScrolledWindow):
-    """
-    An InteractiveConsole for GTK. It's an actual widget,
-    so it can be dropped in just about anywhere.
-    """
-
-    def __init__(self):
-        gtk.ScrolledWindow.__init__(self)
-        self.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC)
-
-        self.text = gtk.TextView()
-        self.text.set_wrap_mode(True)
-
-        self.interpreter = code.InteractiveInterpreter()
-
-        self.completer = Completer(self.interpreter.locals)
-        self.buffer = []
-        self.history = []
-        self.banner = banner
-        self.ps1 = ">>> "
-        self.ps2 = "... "
-
-        self.text.add_events(gtk.gdk.KEY_PRESS_MASK)
-        self.text.connect("key_press_event", self.key_pressed)
-
-        self.current_history = -1
-
-        self.mark = self.text.get_buffer().create_mark("End", self.text.get_buffer().get_end_iter(), False)
-
-        # setup colors
-        self.style_banner = gtk.TextTag("banner")
-        self.style_banner.set_property("foreground", "saddle brown")
-
-        self.style_ps1 = gtk.TextTag("ps1")
-        self.style_ps1.set_property("foreground", "DarkOrchid4")
-        self.style_ps1.set_property("editable", False)
-        self.style_ps1.set_property("font", "courier")
-
-        self.style_ps2 = gtk.TextTag("ps2")
-        self.style_ps2.set_property("foreground", "DarkOliveGreen")
-        self.style_ps2.set_property("editable", False)
-        self.style_ps2.set_property("font", "courier")
-
-        self.style_out = gtk.TextTag("stdout")
-        self.style_out.set_property("foreground", "midnight blue")
-        self.style_err = gtk.TextTag("stderr")
-        self.style_err.set_property("style", pango.STYLE_ITALIC)
-        self.style_err.set_property("foreground", "red")
-
-        self.text.get_buffer().get_tag_table().add(self.style_banner)
-        self.text.get_buffer().get_tag_table().add(self.style_ps1)
-        self.text.get_buffer().get_tag_table().add(self.style_ps2)
-        self.text.get_buffer().get_tag_table().add(self.style_out)
-        self.text.get_buffer().get_tag_table().add(self.style_err)
-
-        self.stdout = OutputStream(self.text, sys.stdout, self.style_out)
-        self.stderr = OutputStream(self.text, sys.stderr, self.style_err)
-
-        sys.stderr = self.stderr
-        sys.stdout = self.stdout
-
-        self.current_prompt = None
-
-        self.write_line(self.banner, self.style_banner)
-        self.prompt_ps1()
-
-        self.add(self.text)
-        self.text.show()
-
-    def reset_history(self):
-        self.history = []
-
-    def reset_buffer(self):
-        self.buffer = []
-
-    def prompt_ps1(self):
-        self.current_prompt = self.prompt_ps1
-        self.write_line(self.ps1, self.style_ps1)
-
-    def prompt_ps2(self):
-        self.current_prompt = self.prompt_ps2
-        self.write_line(self.ps2, self.style_ps2)
-
-    def write_line(self, text, style=None):
-        start, end = self.text.get_buffer().get_bounds()
-        if style is None:
-            self.text.get_buffer().insert(end, text)
-        else:
-            self.text.get_buffer().insert_with_tags(end, text, style)
-
-        self.text.scroll_to_mark(self.mark, 0, True, 1, 1)
-
-    def push(self, line):
-
-        self.buffer.append(line)
-        if len(line) > 0:
-            self.history.append(line)
-
-        source = "\n".join(self.buffer)
-
-        more = self.interpreter.runsource(source, "<<console>>")
-
-        if not more:
-            self.reset_buffer()
-
-        return more
-
-    def key_pressed(self, widget, event):
-        if event.keyval == gtk.gdk.keyval_from_name('Return'):
-            return self.execute_line()
-
-        if event.keyval == gtk.gdk.keyval_from_name('Up'):
-            self.current_history = self.current_history - 1
-            if self.current_history < - len(self.history):
-                self.current_history = - len(self.history)
-            return self.show_history()
-        elif event.keyval == gtk.gdk.keyval_from_name('Down'):
-            self.current_history = self.current_history + 1
-            if self.current_history > 0:
-                self.current_history = 0
-            return self.show_history()
-        elif event.keyval == gtk.gdk.keyval_from_name('Home'):
-            l = self.text.get_buffer().get_line_count() - 1
-            start = self.text.get_buffer().get_iter_at_line_offset(l, 4)
-            self.text.get_buffer().place_cursor(start)
-            return True
-        elif event.keyval == gtk.gdk.keyval_from_name('space') and event.state & gtk.gdk.CONTROL_MASK:
-            return self.complete_line()
-        return False
-
-    def show_history(self):
-        if self.current_history == 0:
-            return True
-        else:
-            self.replace_line(self.history[self.current_history])
-            return True
-
-    def current_line(self):
-        start, end = self.current_line_bounds()
-        return self.text.get_buffer().get_text(start, end, True)
-
-    def current_line_bounds(self):
-        txt_buffer = self.text.get_buffer()
-        l = txt_buffer.get_line_count() - 1
-
-        start = txt_buffer.get_iter_at_line(l)
-        if start.get_chars_in_line() >= 4:
-            start.forward_chars(4)
-        end = txt_buffer.get_end_iter()
-        return start, end
-
-    def replace_line(self, txt):
-        start, end = self.current_line_bounds()
-        self.text.get_buffer().delete(start, end)
-        self.write_line(txt)
-
-    def execute_line(self, line=None):
-        if line is None:
-            line = self.current_line()
-            self.write_line("\n")
-        else:
-            self.write_line(line + "\n")
-
-        more = self.push(line)
-
-        self.text.get_buffer().place_cursor(self.text.get_buffer().get_end_iter())
-
-        if more:
-            self.prompt_ps2()
-        else:
-            self.prompt_ps1()
-
-        self.current_history = 0
-
-        self.window.raise_()
-
-        return True
-
-    def complete_line(self):
-        line = self.current_line()
-        tokens = line.split()
-        token = tokens[-1]
-
-        completions = []
-        p = self.completer.complete(token, len(completions))
-        while p is not None:
-            completions.append(p)
-            p = self.completer.complete(token, len(completions))
-
-        if len(completions) != 1:
-            self.write_line("\n")
-            self.write_line("\n".join(completions), self.style_ps1)
-            self.write_line("\n")
-            self.current_prompt()
-            self.write_line(line)
-        else:
-            i = line.rfind(token)
-            line = line[0:i] + completions[0]
-            self.replace_line(line)
-
-        return True
-
-
-def main():
-    w = gtk.Window()
-    console = GTKInterpreterConsole()
-    console.set_size_request(640, 480)
-    w.add(console)
-
-    def destroy(arg=None):
-        gtk.main_quit()
-
-    def key_event(widget, event):
-        if gtk.gdk.keyval_name(event.keyval) == 'd' and \
-                event.state & gtk.gdk.CONTROL_MASK:
-            destroy()
-        return False
-
-    w.connect("destroy", destroy)
-
-    w.add_events(gtk.gdk.KEY_PRESS_MASK)
-    w.connect('key_press_event', key_event)
-    w.show_all()
-
-    console.execute_line('import matplotlib')
-    console.execute_line("matplotlib.use('GTKAgg')")
-    console.execute_line('matplotlib.interactive(1)')
-    console.execute_line('from pylab import *')
-
-    if len(sys.argv) > 1:
-        fname = sys.argv[1]
-        if not os.path.exists(fname):
-            print('%s does not exist' % fname)
-        for line in file(fname):
-            line = line.strip()
-
-            console.execute_line(line)
-    gtk.main()
-
-if __name__ == '__main__':
-    main()
diff --git a/examples/user_interfaces/lineprops_dialog_gtk.py b/examples/user_interfaces/lineprops_dialog_gtk.py
deleted file mode 100644
index 49e864071969..000000000000
--- a/examples/user_interfaces/lineprops_dialog_gtk.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import matplotlib
-matplotlib.use('GTKAgg')
-from matplotlib.backends.backend_gtk import DialogLineprops
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-def f(t):
-    s1 = np.cos(2*np.pi*t)
-    e1 = np.exp(-t)
-    return np.multiply(s1, e1)
-
-t1 = np.arange(0.0, 5.0, 0.1)
-t2 = np.arange(0.0, 5.0, 0.02)
-t3 = np.arange(0.0, 2.0, 0.01)
-
-fig, ax = plt.subplots()
-l1, = ax.plot(t1, f(t1), 'bo', label='line 1')
-l2, = ax.plot(t2, f(t2), 'k--', label='line 2')
-
-dlg = DialogLineprops([l1, l2])
-dlg.show()
-plt.show()
diff --git a/examples/user_interfaces/mathtext_wx.py b/examples/user_interfaces/mathtext_wx.py
deleted file mode 100644
index 7886e01a4b10..000000000000
--- a/examples/user_interfaces/mathtext_wx.py
+++ /dev/null
@@ -1,127 +0,0 @@
-"""
-Demonstrates how to convert mathtext to a wx.Bitmap for display in various
-controls on wxPython.
-"""
-
-import matplotlib
-matplotlib.use("WxAgg")
-from numpy import arange, sin, pi, cos, log
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
-from matplotlib.backends.backend_wx import NavigationToolbar2Wx
-from matplotlib.figure import Figure
-
-import wx
-
-IS_GTK = 'wxGTK' in wx.PlatformInfo
-IS_WIN = 'wxMSW' in wx.PlatformInfo
-IS_MAC = 'wxMac' in wx.PlatformInfo
-
-############################################################
-# This is where the "magic" happens.
-from matplotlib.mathtext import MathTextParser
-mathtext_parser = MathTextParser("Bitmap")
-
-
-def mathtext_to_wxbitmap(s):
-    ftimage, depth = mathtext_parser.parse(s, 150)
-    return wx.BitmapFromBufferRGBA(
-        ftimage.get_width(), ftimage.get_height(),
-        ftimage.as_rgba_str())
-############################################################
-
-functions = [
-    (r'$\sin(2 \pi x)$', lambda x: sin(2*pi*x)),
-    (r'$\frac{4}{3}\pi x^3$', lambda x: (4.0/3.0)*pi*x**3),
-    (r'$\cos(2 \pi x)$', lambda x: cos(2*pi*x)),
-    (r'$\log(x)$', lambda x: log(x))
-]
-
-
-class CanvasFrame(wx.Frame):
-    def __init__(self, parent, title):
-        wx.Frame.__init__(self, parent, -1, title, size=(550, 350))
-        self.SetBackgroundColour(wx.NamedColour("WHITE"))
-
-        self.figure = Figure()
-        self.axes = self.figure.add_subplot(111)
-        self.change_plot(0)
-
-        self.canvas = FigureCanvas(self, -1, self.figure)
-
-        self.sizer = wx.BoxSizer(wx.VERTICAL)
-        self.add_buttonbar()
-        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
-        self.add_toolbar()  # comment this out for no toolbar
-
-        menuBar = wx.MenuBar()
-
-        # File Menu
-        menu = wx.Menu()
-        menu.Append(wx.ID_EXIT, "E&xit\tAlt-X", "Exit this simple sample")
-        menuBar.Append(menu, "&File")
-
-        if IS_GTK or IS_WIN:
-            # Equation Menu
-            menu = wx.Menu()
-            for i, (mt, func) in enumerate(functions):
-                bm = mathtext_to_wxbitmap(mt)
-                item = wx.MenuItem(menu, 1000 + i, "")
-                item.SetBitmap(bm)
-                menu.AppendItem(item)
-                self.Bind(wx.EVT_MENU, self.OnChangePlot, item)
-            menuBar.Append(menu, "&Functions")
-
-        self.SetMenuBar(menuBar)
-
-        self.SetSizer(self.sizer)
-        self.Fit()
-
-    def add_buttonbar(self):
-        self.button_bar = wx.Panel(self)
-        self.button_bar_sizer = wx.BoxSizer(wx.HORIZONTAL)
-        self.sizer.Add(self.button_bar, 0, wx.LEFT | wx.TOP | wx.GROW)
-
-        for i, (mt, func) in enumerate(functions):
-            bm = mathtext_to_wxbitmap(mt)
-            button = wx.BitmapButton(self.button_bar, 1000 + i, bm)
-            self.button_bar_sizer.Add(button, 1, wx.GROW)
-            self.Bind(wx.EVT_BUTTON, self.OnChangePlot, button)
-
-        self.button_bar.SetSizer(self.button_bar_sizer)
-
-    def add_toolbar(self):
-        """Copied verbatim from embedding_wx2.py"""
-        self.toolbar = NavigationToolbar2Wx(self.canvas)
-        self.toolbar.Realize()
-        if IS_MAC:
-            self.SetToolBar(self.toolbar)
-        else:
-            tw, th = self.toolbar.GetSizeTuple()
-            fw, fh = self.canvas.GetSizeTuple()
-            self.toolbar.SetSize(wx.Size(fw, th))
-            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-        self.toolbar.update()
-
-    def OnPaint(self, event):
-        self.canvas.draw()
-
-    def OnChangePlot(self, event):
-        self.change_plot(event.GetId() - 1000)
-
-    def change_plot(self, plot_number):
-        t = arange(1.0, 3.0, 0.01)
-        s = functions[plot_number][1](t)
-        self.axes.clear()
-        self.axes.plot(t, s)
-        self.Refresh()
-
-
-class MyApp(wx.App):
-    def OnInit(self):
-        frame = CanvasFrame(None, "wxPython mathtext demo app")
-        self.SetTopWindow(frame)
-        frame.Show(True)
-        return True
-
-app = MyApp()
-app.MainLoop()
diff --git a/examples/user_interfaces/mpl_with_glade.glade b/examples/user_interfaces/mpl_with_glade.glade
deleted file mode 100644
index 96e3278b490e..000000000000
--- a/examples/user_interfaces/mpl_with_glade.glade
+++ /dev/null
@@ -1,276 +0,0 @@
-<?xml version="1.0" standalone="no"?> <!--*- mode: xml -*-->
-<!DOCTYPE glade-interface SYSTEM "http://glade.gnome.org/glade-2.0.dtd">
-
-<glade-interface>
-
-<widget class="GtkWindow" id="windowMain">
-  <property name="visible">True</property>
-  <property name="title" translatable="yes">window1</property>
-  <property name="type">GTK_WINDOW_TOPLEVEL</property>
-  <property name="window_position">GTK_WIN_POS_NONE</property>
-  <property name="modal">False</property>
-  <property name="resizable">True</property>
-  <property name="destroy_with_parent">False</property>
-  <property name="decorated">True</property>
-  <property name="skip_taskbar_hint">False</property>
-  <property name="skip_pager_hint">False</property>
-  <property name="type_hint">GDK_WINDOW_TYPE_HINT_NORMAL</property>
-  <property name="gravity">GDK_GRAVITY_NORTH_WEST</property>
-  <property name="focus_on_map">True</property>
-  <signal name="button_press_event" handler="on_windowMain_button_press_event" last_modification_time="Tue, 26 Jul 2005 21:47:00 GMT"/>
-  <signal name="button_release_event" handler="on_windowMain_button_release_event" last_modification_time="Tue, 26 Jul 2005 21:47:07 GMT"/>
-  <signal name="motion_notify_event" handler="on_windowMain_motion_notify_event" last_modification_time="Tue, 26 Jul 2005 21:47:18 GMT"/>
-
-  <child>
-    <widget class="GtkVBox" id="vboxMain">
-      <property name="border_width">4</property>
-      <property name="visible">True</property>
-      <property name="homogeneous">False</property>
-      <property name="spacing">2</property>
-
-      <child>
-	<widget class="GtkMenuBar" id="menubar1">
-	  <property name="visible">True</property>
-
-	  <child>
-	    <widget class="GtkMenuItem" id="menuitem1">
-	      <property name="visible">True</property>
-	      <property name="label" translatable="yes">_File</property>
-	      <property name="use_underline">True</property>
-
-	      <child>
-		<widget class="GtkMenu" id="menu1">
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="new1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-new</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_new1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="open1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-open</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_open1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="save1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-save</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_save1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="save_as1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-save-as</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_save_as1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkSeparatorMenuItem" id="separatormenuitem1">
-		      <property name="visible">True</property>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="quit1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-quit</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_quit1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-		</widget>
-	      </child>
-	    </widget>
-	  </child>
-
-	  <child>
-	    <widget class="GtkMenuItem" id="menuitem2">
-	      <property name="visible">True</property>
-	      <property name="label" translatable="yes">_Edit</property>
-	      <property name="use_underline">True</property>
-
-	      <child>
-		<widget class="GtkMenu" id="menu2">
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="cut1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-cut</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_cut1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="copy1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-copy</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_copy1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="paste1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-paste</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_paste1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-
-		  <child>
-		    <widget class="GtkImageMenuItem" id="delete1">
-		      <property name="visible">True</property>
-		      <property name="label">gtk-delete</property>
-		      <property name="use_stock">True</property>
-		      <signal name="activate" handler="on_delete1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-		</widget>
-	      </child>
-	    </widget>
-	  </child>
-
-	  <child>
-	    <widget class="GtkMenuItem" id="menuitem3">
-	      <property name="visible">True</property>
-	      <property name="label" translatable="yes">_View</property>
-	      <property name="use_underline">True</property>
-
-	      <child>
-		<widget class="GtkMenu" id="menu3">
-		</widget>
-	      </child>
-	    </widget>
-	  </child>
-
-	  <child>
-	    <widget class="GtkMenuItem" id="menuitem4">
-	      <property name="visible">True</property>
-	      <property name="label" translatable="yes">_Help</property>
-	      <property name="use_underline">True</property>
-
-	      <child>
-		<widget class="GtkMenu" id="menu4">
-
-		  <child>
-		    <widget class="GtkMenuItem" id="about1">
-		      <property name="visible">True</property>
-		      <property name="label" translatable="yes">_About</property>
-		      <property name="use_underline">True</property>
-		      <signal name="activate" handler="on_about1_activate" last_modification_time="Wed, 01 Oct 2003 13:32:18 GMT"/>
-		    </widget>
-		  </child>
-		</widget>
-	      </child>
-	    </widget>
-	  </child>
-	</widget>
-	<packing>
-	  <property name="padding">0</property>
-	  <property name="expand">False</property>
-	  <property name="fill">False</property>
-	</packing>
-      </child>
-
-      <child>
-	<placeholder/>
-      </child>
-
-      <child>
-	<widget class="GtkButton" id="buttonClickMe">
-	  <property name="visible">True</property>
-	  <property name="can_focus">True</property>
-	  <property name="relief">GTK_RELIEF_NORMAL</property>
-	  <property name="focus_on_click">True</property>
-	  <signal name="clicked" handler="on_buttonClickMe_clicked" last_modification_time="Wed, 01 Oct 2003 13:50:20 GMT"/>
-
-	  <child>
-	    <widget class="GtkAlignment" id="alignment1">
-	      <property name="visible">True</property>
-	      <property name="xalign">0.5</property>
-	      <property name="yalign">0.5</property>
-	      <property name="xscale">0</property>
-	      <property name="yscale">0</property>
-	      <property name="top_padding">0</property>
-	      <property name="bottom_padding">0</property>
-	      <property name="left_padding">0</property>
-	      <property name="right_padding">0</property>
-
-	      <child>
-		<widget class="GtkHBox" id="hbox1">
-		  <property name="visible">True</property>
-		  <property name="homogeneous">False</property>
-		  <property name="spacing">2</property>
-
-		  <child>
-		    <widget class="GtkImage" id="image1">
-		      <property name="visible">True</property>
-		      <property name="stock">gtk-dialog-info</property>
-		      <property name="icon_size">4</property>
-		      <property name="xalign">0.5</property>
-		      <property name="yalign">0.5</property>
-		      <property name="xpad">0</property>
-		      <property name="ypad">0</property>
-		    </widget>
-		    <packing>
-		      <property name="padding">0</property>
-		      <property name="expand">False</property>
-		      <property name="fill">False</property>
-		    </packing>
-		  </child>
-
-		  <child>
-		    <widget class="GtkLabel" id="label1">
-		      <property name="visible">True</property>
-		      <property name="label" translatable="yes">Click Me!</property>
-		      <property name="use_underline">True</property>
-		      <property name="use_markup">False</property>
-		      <property name="justify">GTK_JUSTIFY_LEFT</property>
-		      <property name="wrap">False</property>
-		      <property name="selectable">False</property>
-		      <property name="xalign">0.5</property>
-		      <property name="yalign">0.5</property>
-		      <property name="xpad">0</property>
-		      <property name="ypad">0</property>
-		      <property name="ellipsize">PANGO_ELLIPSIZE_NONE</property>
-		      <property name="width_chars">-1</property>
-		      <property name="single_line_mode">False</property>
-		      <property name="angle">0</property>
-		    </widget>
-		    <packing>
-		      <property name="padding">0</property>
-		      <property name="expand">False</property>
-		      <property name="fill">False</property>
-		    </packing>
-		  </child>
-		</widget>
-	      </child>
-	    </widget>
-	  </child>
-	</widget>
-	<packing>
-	  <property name="padding">0</property>
-	  <property name="expand">False</property>
-	  <property name="fill">False</property>
-	</packing>
-      </child>
-    </widget>
-  </child>
-</widget>
-
-</glade-interface>
diff --git a/examples/user_interfaces/mpl_with_glade.py b/examples/user_interfaces/mpl_with_glade.py
deleted file mode 100755
index a2209a8310ba..000000000000
--- a/examples/user_interfaces/mpl_with_glade.py
+++ /dev/null
@@ -1,102 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-import matplotlib
-matplotlib.use('GTK')
-
-from matplotlib.figure import Figure
-from matplotlib.axes import Subplot
-from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
-from matplotlib.backends.backend_gtkagg import NavigationToolbar2GTKAgg as NavigationToolbar
-from matplotlib.widgets import SpanSelector
-
-from numpy import arange, sin, pi
-import gtk
-import gtk.glade
-
-
-def simple_msg(msg, parent=None, title=None):
-    dialog = gtk.MessageDialog(
-        parent=None,
-        type=gtk.MESSAGE_INFO,
-        buttons=gtk.BUTTONS_OK,
-        message_format=msg)
-    if parent is not None:
-        dialog.set_transient_for(parent)
-    if title is not None:
-        dialog.set_title(title)
-    dialog.show()
-    dialog.run()
-    dialog.destroy()
-    return None
-
-
-class GladeHandlers(object):
-    def on_buttonClickMe_clicked(event):
-        simple_msg('Nothing to say, really',
-                   parent=widgets['windowMain'],
-                   title='Thanks!')
-
-
-class WidgetsWrapper(object):
-    def __init__(self):
-        self.widgets = gtk.glade.XML('mpl_with_glade.glade')
-        self.widgets.signal_autoconnect(GladeHandlers.__dict__)
-
-        self['windowMain'].connect('destroy', lambda x: gtk.main_quit())
-        self['windowMain'].move(10, 10)
-        self.figure = Figure(figsize=(8, 6), dpi=72)
-        self.axis = self.figure.add_subplot(111)
-
-        t = arange(0.0, 3.0, 0.01)
-        s = sin(2*pi*t)
-        self.axis.plot(t, s)
-        self.axis.set_xlabel('time (s)')
-        self.axis.set_ylabel('voltage')
-
-        self.canvas = FigureCanvas(self.figure)  # a gtk.DrawingArea
-        self.canvas.show()
-        self.canvas.set_size_request(600, 400)
-        self.canvas.set_events(
-            gtk.gdk.BUTTON_PRESS_MASK |
-            gtk.gdk.KEY_PRESS_MASK |
-            gtk.gdk.KEY_RELEASE_MASK
-            )
-        self.canvas.set_flags(gtk.HAS_FOCUS | gtk.CAN_FOCUS)
-        self.canvas.grab_focus()
-
-        def keypress(widget, event):
-            print('key press')
-
-        def buttonpress(widget, event):
-            print('button press')
-
-        self.canvas.connect('key_press_event', keypress)
-        self.canvas.connect('button_press_event', buttonpress)
-
-        def onselect(xmin, xmax):
-            print(xmin, xmax)
-
-        span = SpanSelector(self.axis, onselect, 'horizontal', useblit=False,
-                            rectprops=dict(alpha=0.5, facecolor='red'))
-
-        self['vboxMain'].pack_start(self.canvas, True, True)
-        self['vboxMain'].show()
-
-        # below is optional if you want the navigation toolbar
-        self.navToolbar = NavigationToolbar(self.canvas, self['windowMain'])
-        self.navToolbar.lastDir = '/var/tmp/'
-        self['vboxMain'].pack_start(self.navToolbar)
-        self.navToolbar.show()
-
-        sep = gtk.HSeparator()
-        sep.show()
-        self['vboxMain'].pack_start(sep, True, True)
-
-        self['vboxMain'].reorder_child(self['buttonClickMe'], -1)
-
-    def __getitem__(self, key):
-        return self.widgets.get_widget(key)
-
-widgets = WidgetsWrapper()
-gtk.main()
diff --git a/examples/user_interfaces/mpl_with_glade_316.py b/examples/user_interfaces/mpl_with_glade_316.py
deleted file mode 100644
index 4c2318efd8a7..000000000000
--- a/examples/user_interfaces/mpl_with_glade_316.py
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/usr/bin/env python3
-
-from gi.repository import Gtk
-
-from matplotlib.figure import Figure
-from matplotlib.axes import Subplot
-from numpy import arange, sin, pi
-from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg as FigureCanvas
-
-
-class Window1Signals(object):
-    def on_window1_destroy(self, widget):
-        Gtk.main_quit()
-
-
-def main():
-    builder = Gtk.Builder()
-    builder.add_objects_from_file("mpl_with_glade_316.glade", ("window1", ""))
-    builder.connect_signals(Window1Signals())
-    window = builder.get_object("window1")
-    sw = builder.get_object("scrolledwindow1")
-
-    # Start of Matplotlib specific code
-    figure = Figure(figsize=(8, 6), dpi=71)
-    axis = figure.add_subplot(111)
-    t = arange(0.0, 3.0, 0.01)
-    s = sin(2*pi*t)
-    axis.plot(t, s)
-
-    axis.set_xlabel('time [s]')
-    axis.set_ylabel('voltage [V]')
-
-    canvas = FigureCanvas(figure)  # a Gtk.DrawingArea
-    canvas.set_size_request(800, 600)
-    sw.add_with_viewport(canvas)
-    # End of Matplotlib specific code
-
-    window.show_all()
-    Gtk.main()
-
-if __name__ == "__main__":
-    main()
diff --git a/examples/user_interfaces/pylab_with_gtk.py b/examples/user_interfaces/pylab_with_gtk.py
deleted file mode 100644
index 06479b03b697..000000000000
--- a/examples/user_interfaces/pylab_with_gtk.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""
-An example of how to use pylab to manage your figure windows, but
-modify the GUI by accessing the underlying gtk widgets
-"""
-from __future__ import print_function
-import matplotlib
-matplotlib.use('GTKAgg')
-import matplotlib.pyplot as plt
-
-
-fig, ax = plt.subplots()
-plt.plot([1, 2, 3], 'ro-', label='easy as 1 2 3')
-plt.plot([1, 4, 9], 'gs--', label='easy as 1 2 3 squared')
-plt.legend()
-
-
-manager = plt.get_current_fig_manager()
-# you can also access the window or vbox attributes this way
-toolbar = manager.toolbar
-
-# now let's add a button to the toolbar
-import gtk
-next = 8  # where to insert this in the mpl toolbar
-button = gtk.Button('Click me')
-button.show()
-
-
-def clicked(button):
-    print('hi mom')
-button.connect('clicked', clicked)
-
-toolitem = gtk.ToolItem()
-toolitem.show()
-toolitem.set_tooltip(
-    toolbar.tooltips,
-    'Click me for fun and profit')
-
-toolitem.add(button)
-toolbar.insert(toolitem, next)
-next += 1
-
-# now let's add a widget to the vbox
-label = gtk.Label()
-label.set_markup('Drag mouse over axes for position')
-label.show()
-vbox = manager.vbox
-vbox.pack_start(label, False, False)
-vbox.reorder_child(manager.toolbar, -1)
-
-
-def update(event):
-    if event.xdata is None:
-        label.set_markup('Drag mouse over axes for position')
-    else:
-        label.set_markup('<span color="#ef0000">x,y=(%f, %f)</span>' % (event.xdata, event.ydata))
-
-plt.connect('motion_notify_event', update)
-
-plt.show()
diff --git a/examples/user_interfaces/rec_edit_gtk_custom.py b/examples/user_interfaces/rec_edit_gtk_custom.py
deleted file mode 100644
index 0d3a20374816..000000000000
--- a/examples/user_interfaces/rec_edit_gtk_custom.py
+++ /dev/null
@@ -1,42 +0,0 @@
-"""
-generate an editable gtk treeview widget for record arrays with custom
-formatting of the cells and show how to limit string entries to a list
-of strings
-"""
-from __future__ import print_function
-import gtk
-import numpy as np
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-import mpl_toolkits.gtktools as gtktools
-
-
-datafile = cbook.get_sample_data('demodata.csv', asfileobj=False)
-r = mlab.csv2rec(datafile, converterd={'weekdays': str})
-
-
-formatd = mlab.get_formatd(r)
-formatd['date'] = mlab.FormatDate('%Y-%m-%d')
-formatd['prices'] = mlab.FormatMillions(precision=1)
-formatd['gain'] = mlab.FormatPercent(precision=2)
-
-# use a drop down combo for weekdays
-stringd = dict(weekdays=['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'])
-constant = ['clientid']   # block editing of this field
-
-
-liststore = gtktools.RecListStore(r, formatd=formatd, stringd=stringd)
-treeview = gtktools.RecTreeView(liststore, constant=constant)
-
-
-def mycallback(liststore, rownum, colname, oldval, newval):
-    print('verify: old=%s, new=%s, rec=%s' % (oldval, newval, liststore.r[rownum][colname]))
-
-liststore.callbacks.connect('cell_changed', mycallback)
-
-win = gtk.Window()
-win.set_title('click to edit')
-win.add(treeview)
-win.show_all()
-win.connect('delete-event', lambda *args: gtk.main_quit())
-gtk.main()
diff --git a/examples/user_interfaces/rec_edit_gtk_simple.py b/examples/user_interfaces/rec_edit_gtk_simple.py
deleted file mode 100644
index 4d01056604f8..000000000000
--- a/examples/user_interfaces/rec_edit_gtk_simple.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-Load a CSV file into a record array and edit it in a gtk treeview
-"""
-
-import gtk
-import numpy as np
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-import mpl_toolkits.gtktools as gtktools
-
-datafile = cbook.get_sample_data('demodata.csv', asfileobj=False)
-r = mlab.csv2rec(datafile, converterd={'weekdays': str})
-
-liststore, treeview, win = gtktools.edit_recarray(r)
-win.set_title('click to edit')
-win.connect('delete-event', lambda *args: gtk.main_quit())
-gtk.main()
diff --git a/examples/user_interfaces/svg_histogram.py b/examples/user_interfaces/svg_histogram.py
deleted file mode 100755
index f360357eed92..000000000000
--- a/examples/user_interfaces/svg_histogram.py
+++ /dev/null
@@ -1,155 +0,0 @@
-#!/usr/bin/env python
-#-*- encoding:utf-8 -*-
-
-"""
-Demonstrate how to create an interactive histogram, in which bars
-are hidden or shown by cliking on legend markers.
-
-The interactivity is encoded in ecmascript (javascript) and inserted in
-the SVG code in a post-processing step. To render the image, open it in
-a web browser. SVG is supported in most web browsers used by Linux and
-OSX users. Windows IE9 supports SVG, but earlier versions do not.
-
-Notes
------
-The matplotlib backend lets us assign ids to each object. This is the
-mechanism used here to relate matplotlib objects created in python and
-the corresponding SVG constructs that are parsed in the second step.
-While flexible, ids are cumbersome to use for large collection of
-objects. Two mechanisms could be used to simplify things:
- * systematic grouping of objects into SVG <g> tags,
- * assingning classes to each SVG object according to its origin.
-
-For example, instead of modifying the properties of each individual bar,
-the bars from the `hist` function could either be grouped in
-a PatchCollection, or be assigned a class="hist_##" attribute.
-
-CSS could also be used more extensively to replace repetitive markup
-troughout the generated SVG.
-
-__author__="david.huard@gmail.com"
-
-"""
-
-
-import numpy as np
-import matplotlib.pyplot as plt
-import xml.etree.ElementTree as ET
-from StringIO import StringIO
-import json
-
-plt.rcParams['svg.embed_char_paths'] = 'none'
-
-# Apparently, this `register_namespace` method works only with
-# python 2.7 and up and is necessary to avoid garbling the XML name
-# space with ns0.
-ET.register_namespace("", "http://www.w3.org/2000/svg")
-
-
-# --- Create histogram, legend and title ---
-plt.figure()
-r = np.random.randn(100)
-r1 = r + 1
-labels = ['Rabbits', 'Frogs']
-H = plt.hist([r, r1], label=labels)
-containers = H[-1]
-leg = plt.legend(frameon=False)
-plt.title("From a web browser, click on the legend\n"
-          "marker to toggle the corresponding histogram.")
-
-
-# --- Add ids to the svg objects we'll modify
-
-hist_patches = {}
-for ic, c in enumerate(containers):
-    hist_patches['hist_%d' % ic] = []
-    for il, element in enumerate(c):
-        element.set_gid('hist_%d_patch_%d' % (ic, il))
-        hist_patches['hist_%d' % ic].append('hist_%d_patch_%d' % (ic, il))
-
-# Set ids for the legend patches
-for i, t in enumerate(leg.get_patches()):
-    t.set_gid('leg_patch_%d' % i)
-
-# Set ids for the text patches
-for i, t in enumerate(leg.get_texts()):
-    t.set_gid('leg_text_%d' % i)
-
-# Save SVG in a fake file object.
-f = StringIO()
-plt.savefig(f, format="svg")
-
-# Create XML tree from the SVG file.
-tree, xmlid = ET.XMLID(f.getvalue())
-
-
-# --- Add interactivity ---
-
-# Add attributes to the patch objects.
-for i, t in enumerate(leg.get_patches()):
-    el = xmlid['leg_patch_%d' % i]
-    el.set('cursor', 'pointer')
-    el.set('onclick', "toggle_hist(this)")
-
-# Add attributes to the text objects.
-for i, t in enumerate(leg.get_texts()):
-    el = xmlid['leg_text_%d' % i]
-    el.set('cursor', 'pointer')
-    el.set('onclick', "toggle_hist(this)")
-
-# Create script defining the function `toggle_hist`.
-# We create a global variable `container` that stores the patches id
-# belonging to each histogram. Then a function "toggle_element" sets the
-# visibility attribute of all patches of each histogram and the opacity
-# of the marker itself.
-
-script = """
-<script type="text/ecmascript">
-<![CDATA[
-var container = %s
-
-function toggle(oid, attribute, values) {
-    /* Toggle the style attribute of an object between two values.
-
-    Parameters
-    ----------
-    oid : str
-      Object identifier.
-    attribute : str
-      Name of syle attribute.
-    values : [on state, off state]
-      The two values that are switched between.
-    */
-    var obj = document.getElementById(oid);
-    var a = obj.style[attribute];
-
-    a = (a == values[0] || a == "") ? values[1] : values[0];
-    obj.style[attribute] = a;
-    }
-
-function toggle_hist(obj) {
-
-    var num = obj.id.slice(-1);
-
-    toggle('leg_patch_' + num, 'opacity', [1, 0.3]);
-    toggle('leg_text_' + num, 'opacity', [1, 0.5]);
-
-    var names = container['hist_'+num]
-
-    for (var i=0; i < names.length; i++) {
-        toggle(names[i], 'opacity', [1,0])
-    };
-    }
-]]>
-</script>
-""" % json.dumps(hist_patches)
-
-# Add a transition effect
-css = tree.getchildren()[0][0]
-css.text = css.text + "g {-webkit-transition:opacity 0.4s ease-out;" + \
-    "-moz-transition:opacity 0.4s ease-out;}"
-
-# Insert the script and save to file.
-tree.insert(0, ET.XML(script))
-
-ET.ElementTree(tree).write("svg_histogram.svg")
diff --git a/examples/user_interfaces/svg_tooltip.py b/examples/user_interfaces/svg_tooltip.py
deleted file mode 100644
index 3917e61590ae..000000000000
--- a/examples/user_interfaces/svg_tooltip.py
+++ /dev/null
@@ -1,125 +0,0 @@
-"""
-SVG tooltip example
-===================
-
-This example shows how to create a tooltip that will show up when
-hovering over a matplotlib patch.
-
-Although it is possible to create the tooltip from CSS or javascript,
-here we create it in matplotlib and simply toggle its visibility on
-when hovering over the patch. This approach provides total control over
-the tooltip placement and appearance, at the expense of more code up
-front.
-
-The alternative approach would be to put the tooltip content in `title`
-atttributes of SVG objects. Then, using an existing js/CSS library, it
-would be relatively straightforward to create the tooltip in the
-browser. The content would be dictated by the `title` attribute, and
-the appearance by the CSS.
-
-
-:author: David Huard
-"""
-
-
-import matplotlib.pyplot as plt
-import xml.etree.ElementTree as ET
-from StringIO import StringIO
-
-ET.register_namespace("", "http://www.w3.org/2000/svg")
-
-fig, ax = plt.subplots()
-
-# Create patches to which tooltips will be assigned.
-circle = plt.Circle((0, 0), 5, fc='blue')
-rect = plt.Rectangle((-5, 10), 10, 5, fc='green')
-
-ax.add_patch(circle)
-ax.add_patch(rect)
-
-# Create the tooltips
-circle_tip = ax.annotate(
-    'This is a blue circle.',
-    xy=(0, 0),
-    xytext=(30, -30),
-    textcoords='offset points',
-    color='w',
-    ha='left',
-    bbox=dict(boxstyle='round,pad=.5', fc=(.1, .1, .1, .92),
-              ec=(1., 1., 1.), lw=1, zorder=1))
-
-rect_tip = ax.annotate(
-    'This is a green rectangle.',
-    xy=(-5, 10),
-    xytext=(30, 40),
-    textcoords='offset points',
-    color='w',
-    ha='left',
-    bbox=dict(boxstyle='round,pad=.5', fc=(.1, .1, .1, .92),
-              ec=(1., 1., 1.), lw=1, zorder=1))
-
-# Set id for the patches
-for i, t in enumerate(ax.patches):
-    t.set_gid('patch_%d' % i)
-
-# Set id for the annotations
-for i, t in enumerate(ax.texts):
-    t.set_gid('tooltip_%d' % i)
-
-
-# Save the figure in a fake file object
-ax.set_xlim(-30, 30)
-ax.set_ylim(-30, 30)
-ax.set_aspect('equal')
-
-f = StringIO()
-plt.savefig(f, format="svg")
-
-# --- Add interactivity ---
-
-# Create XML tree from the SVG file.
-tree, xmlid = ET.XMLID(f.getvalue())
-tree.set('onload', 'init(evt)')
-
-# Hide the tooltips
-for i, t in enumerate(ax.texts):
-    el = xmlid['tooltip_%d' % i]
-    el.set('visibility', 'hidden')
-
-# Assign onmouseover and onmouseout callbacks to patches.
-for i, t in enumerate(ax.patches):
-    el = xmlid['patch_%d' % i]
-    el.set('onmouseover', "ShowTooltip(this)")
-    el.set('onmouseout', "HideTooltip(this)")
-
-# This is the script defining the ShowTooltip and HideTooltip functions.
-script = """
-    <script type="text/ecmascript">
-    <![CDATA[
-
-    function init(evt) {
-        if ( window.svgDocument == null ) {
-            svgDocument = evt.target.ownerDocument;
-            }
-        }
-
-    function ShowTooltip(obj) {
-        var cur = obj.id.slice(-1);
-
-        var tip = svgDocument.getElementById('tooltip_' + cur);
-        tip.setAttribute('visibility',"visible")
-        }
-
-    function HideTooltip(obj) {
-        var cur = obj.id.slice(-1);
-        var tip = svgDocument.getElementById('tooltip_' + cur);
-        tip.setAttribute('visibility',"hidden")
-        }
-
-    ]]>
-    </script>
-    """
-
-# Insert the script at the top of the file and save it.
-tree.insert(0, ET.XML(script))
-ET.ElementTree(tree).write('svg_tooltip.svg')
diff --git a/examples/user_interfaces/wxcursor_demo.py b/examples/user_interfaces/wxcursor_demo.py
deleted file mode 100644
index f335377824b6..000000000000
--- a/examples/user_interfaces/wxcursor_demo.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""
-Example to draw a cursor and report the data coords in wx
-"""
-
-import matplotlib
-matplotlib.use('WXAgg')
-
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
-from matplotlib.backends.backend_wx import NavigationToolbar2Wx
-from matplotlib.figure import Figure
-from numpy import arange, sin, pi
-
-import wx
-
-
-class CanvasFrame(wx.Frame):
-    def __init__(self, ):
-        wx.Frame.__init__(self, None, -1,
-                          'CanvasFrame', size=(550, 350))
-
-        self.SetBackgroundColour(wx.NamedColour("WHITE"))
-
-        self.figure = Figure()
-        self.axes = self.figure.add_subplot(111)
-        t = arange(0.0, 3.0, 0.01)
-        s = sin(2*pi*t)
-
-        self.axes.plot(t, s)
-        self.axes.set_xlabel('t')
-        self.axes.set_ylabel('sin(t)')
-        self.figure_canvas = FigureCanvas(self, -1, self.figure)
-
-        # Note that event is a MplEvent
-        self.figure_canvas.mpl_connect('motion_notify_event', self.UpdateStatusBar)
-        self.figure_canvas.Bind(wx.EVT_ENTER_WINDOW, self.ChangeCursor)
-
-        self.sizer = wx.BoxSizer(wx.VERTICAL)
-        self.sizer.Add(self.figure_canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
-        self.SetSizer(self.sizer)
-        self.Fit()
-
-        self.statusBar = wx.StatusBar(self, -1)
-        self.statusBar.SetFieldsCount(1)
-        self.SetStatusBar(self.statusBar)
-
-        self.toolbar = NavigationToolbar2Wx(self.figure_canvas)
-        self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-        self.toolbar.Show()
-
-    def ChangeCursor(self, event):
-        self.figure_canvas.SetCursor(wx.StockCursor(wx.CURSOR_BULLSEYE))
-
-    def UpdateStatusBar(self, event):
-        if event.inaxes:
-            x, y = event.xdata, event.ydata
-            self.statusBar.SetStatusText(("x= " + str(x) +
-                                          "  y=" + str(y)),
-                                         0)
-
-
-class App(wx.App):
-    def OnInit(self):
-        'Create the main window and insert the custom frame'
-        frame = CanvasFrame()
-        self.SetTopWindow(frame)
-        frame.Show(True)
-        return True
-
-if __name__ == '__main__':
-    app = App(0)
-    app.MainLoop()
diff --git a/examples/widgets/README.txt b/examples/widgets/README.txt
deleted file mode 100644
index 077c373df60e..000000000000
--- a/examples/widgets/README.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-Examples of how to write primitive, but GUI agnoistic, widgets in
-matplotlib
diff --git a/examples/widgets/buttons.py b/examples/widgets/buttons.py
deleted file mode 100644
index d2655211ccab..000000000000
--- a/examples/widgets/buttons.py
+++ /dev/null
@@ -1,40 +0,0 @@
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import Button
-
-freqs = np.arange(2, 20, 3)
-
-fig, ax = plt.subplots()
-plt.subplots_adjust(bottom=0.2)
-t = np.arange(0.0, 1.0, 0.001)
-s = np.sin(2*np.pi*freqs[0]*t)
-l, = plt.plot(t, s, lw=2)
-
-
-class Index(object):
-    ind = 0
-
-    def next(self, event):
-        self.ind += 1
-        i = self.ind % len(freqs)
-        ydata = np.sin(2*np.pi*freqs[i]*t)
-        l.set_ydata(ydata)
-        plt.draw()
-
-    def prev(self, event):
-        self.ind -= 1
-        i = self.ind % len(freqs)
-        ydata = np.sin(2*np.pi*freqs[i]*t)
-        l.set_ydata(ydata)
-        plt.draw()
-
-callback = Index()
-axprev = plt.axes([0.7, 0.05, 0.1, 0.075])
-axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
-bnext = Button(axnext, 'Next')
-bnext.on_clicked(callback.next)
-bprev = Button(axprev, 'Previous')
-bprev.on_clicked(callback.prev)
-
-plt.show()
diff --git a/examples/widgets/check_buttons.py b/examples/widgets/check_buttons.py
deleted file mode 100644
index 936e6d96341c..000000000000
--- a/examples/widgets/check_buttons.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import CheckButtons
-
-t = np.arange(0.0, 2.0, 0.01)
-s0 = np.sin(2*np.pi*t)
-s1 = np.sin(4*np.pi*t)
-s2 = np.sin(6*np.pi*t)
-
-fig, ax = plt.subplots()
-l0, = ax.plot(t, s0, visible=False, lw=2)
-l1, = ax.plot(t, s1, lw=2)
-l2, = ax.plot(t, s2, lw=2)
-plt.subplots_adjust(left=0.2)
-
-rax = plt.axes([0.05, 0.4, 0.1, 0.15])
-check = CheckButtons(rax, ('2 Hz', '4 Hz', '6 Hz'), (False, True, True))
-
-
-def func(label):
-    if label == '2 Hz':
-        l0.set_visible(not l0.get_visible())
-    elif label == '4 Hz':
-        l1.set_visible(not l1.get_visible())
-    elif label == '6 Hz':
-        l2.set_visible(not l2.get_visible())
-    plt.draw()
-check.on_clicked(func)
-
-plt.show()
diff --git a/examples/widgets/cursor.py b/examples/widgets/cursor.py
deleted file mode 100644
index 2dda520774ee..000000000000
--- a/examples/widgets/cursor.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/usr/bin/env python
-
-from matplotlib.widgets import Cursor
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-fig = plt.figure(figsize=(8, 6))
-ax = fig.add_subplot(111, axisbg='#FFFFCC')
-
-x, y = 4*(np.random.rand(2, 100) - .5)
-ax.plot(x, y, 'o')
-ax.set_xlim(-2, 2)
-ax.set_ylim(-2, 2)
-
-# set useblit = True on gtkagg for enhanced performance
-cursor = Cursor(ax, useblit=True, color='red', linewidth=2)
-
-plt.show()
diff --git a/examples/widgets/lasso_selector_demo.py b/examples/widgets/lasso_selector_demo.py
deleted file mode 100644
index 4d1de112f731..000000000000
--- a/examples/widgets/lasso_selector_demo.py
+++ /dev/null
@@ -1,90 +0,0 @@
-from __future__ import print_function
-
-import numpy as np
-
-from matplotlib.widgets import LassoSelector
-from matplotlib.path import Path
-
-try:
-    raw_input
-except NameError:
-    # Python 3
-    raw_input = input
-
-
-class SelectFromCollection(object):
-    """Select indices from a matplotlib collection using `LassoSelector`.
-
-    Selected indices are saved in the `ind` attribute. This tool highlights
-    selected points by fading them out (i.e., reducing their alpha values).
-    If your collection has alpha < 1, this tool will permanently alter them.
-
-    Note that this tool selects collection objects based on their *origins*
-    (i.e., `offsets`).
-
-    Parameters
-    ----------
-    ax : :class:`~matplotlib.axes.Axes`
-        Axes to interact with.
-
-    collection : :class:`matplotlib.collections.Collection` subclass
-        Collection you want to select from.
-
-    alpha_other : 0 <= float <= 1
-        To highlight a selection, this tool sets all selected points to an
-        alpha value of 1 and non-selected points to `alpha_other`.
-    """
-
-    def __init__(self, ax, collection, alpha_other=0.3):
-        self.canvas = ax.figure.canvas
-        self.collection = collection
-        self.alpha_other = alpha_other
-
-        self.xys = collection.get_offsets()
-        self.Npts = len(self.xys)
-
-        # Ensure that we have separate colors for each object
-        self.fc = collection.get_facecolors()
-        if len(self.fc) == 0:
-            raise ValueError('Collection must have a facecolor')
-        elif len(self.fc) == 1:
-            self.fc = np.tile(self.fc, self.Npts).reshape(self.Npts, -1)
-
-        self.lasso = LassoSelector(ax, onselect=self.onselect)
-        self.ind = []
-
-    def onselect(self, verts):
-        path = Path(verts)
-        self.ind = np.nonzero([path.contains_point(xy) for xy in self.xys])[0]
-        self.fc[:, -1] = self.alpha_other
-        self.fc[self.ind, -1] = 1
-        self.collection.set_facecolors(self.fc)
-        self.canvas.draw_idle()
-
-    def disconnect(self):
-        self.lasso.disconnect_events()
-        self.fc[:, -1] = 1
-        self.collection.set_facecolors(self.fc)
-        self.canvas.draw_idle()
-
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-
-    plt.ion()
-    data = np.random.rand(100, 2)
-
-    subplot_kw = dict(xlim=(0, 1), ylim=(0, 1), autoscale_on=False)
-    fig, ax = plt.subplots(subplot_kw=subplot_kw)
-
-    pts = ax.scatter(data[:, 0], data[:, 1], s=80)
-    selector = SelectFromCollection(ax, pts)
-
-    plt.draw()
-    raw_input('Press any key to accept selected points')
-    print("Selected points:")
-    print(selector.xys[selector.ind])
-    selector.disconnect()
-
-    # Block end of script so you can check that the lasso is disconnected.
-    raw_input('Press any key to quit')
diff --git a/examples/widgets/menu.py b/examples/widgets/menu.py
deleted file mode 100644
index d6c5be4dfb98..000000000000
--- a/examples/widgets/menu.py
+++ /dev/null
@@ -1,176 +0,0 @@
-from __future__ import division, print_function
-import numpy as np
-import matplotlib
-import matplotlib.colors as colors
-import matplotlib.patches as patches
-import matplotlib.mathtext as mathtext
-import matplotlib.pyplot as plt
-import matplotlib.artist as artist
-import matplotlib.image as image
-
-
-class ItemProperties(object):
-    def __init__(self, fontsize=14, labelcolor='black', bgcolor='yellow',
-                 alpha=1.0):
-        self.fontsize = fontsize
-        self.labelcolor = labelcolor
-        self.bgcolor = bgcolor
-        self.alpha = alpha
-
-        self.labelcolor_rgb = colors.colorConverter.to_rgb(labelcolor)
-        self.bgcolor_rgb = colors.colorConverter.to_rgb(bgcolor)
-
-
-class MenuItem(artist.Artist):
-    parser = mathtext.MathTextParser("Bitmap")
-    padx = 5
-    pady = 5
-
-    def __init__(self, fig, labelstr, props=None, hoverprops=None,
-                 on_select=None):
-        artist.Artist.__init__(self)
-
-        self.set_figure(fig)
-        self.labelstr = labelstr
-
-        if props is None:
-            props = ItemProperties()
-
-        if hoverprops is None:
-            hoverprops = ItemProperties()
-
-        self.props = props
-        self.hoverprops = hoverprops
-
-        self.on_select = on_select
-
-        x, self.depth = self.parser.to_mask(
-            labelstr, fontsize=props.fontsize, dpi=fig.dpi)
-
-        if props.fontsize != hoverprops.fontsize:
-            raise NotImplementedError(
-                'support for different font sizes not implemented')
-
-        self.labelwidth = x.shape[1]
-        self.labelheight = x.shape[0]
-
-        self.labelArray = np.zeros((x.shape[0], x.shape[1], 4))
-        self.labelArray[:, :, -1] = x/255.
-
-        self.label = image.FigureImage(fig, origin='upper')
-        self.label.set_array(self.labelArray)
-
-        # we'll update these later
-        self.rect = patches.Rectangle((0, 0), 1, 1)
-
-        self.set_hover_props(False)
-
-        fig.canvas.mpl_connect('button_release_event', self.check_select)
-
-    def check_select(self, event):
-        over, junk = self.rect.contains(event)
-        if not over:
-            return
-
-        if self.on_select is not None:
-            self.on_select(self)
-
-    def set_extent(self, x, y, w, h):
-        print(x, y, w, h)
-        self.rect.set_x(x)
-        self.rect.set_y(y)
-        self.rect.set_width(w)
-        self.rect.set_height(h)
-
-        self.label.ox = x + self.padx
-        self.label.oy = y - self.depth + self.pady/2.
-
-        self.rect._update_patch_transform()
-        self.hover = False
-
-    def draw(self, renderer):
-        self.rect.draw(renderer)
-        self.label.draw(renderer)
-
-    def set_hover_props(self, b):
-        if b:
-            props = self.hoverprops
-        else:
-            props = self.props
-
-        r, g, b = props.labelcolor_rgb
-        self.labelArray[:, :, 0] = r
-        self.labelArray[:, :, 1] = g
-        self.labelArray[:, :, 2] = b
-        self.label.set_array(self.labelArray)
-        self.rect.set(facecolor=props.bgcolor, alpha=props.alpha)
-
-    def set_hover(self, event):
-        'check the hover status of event and return true if status is changed'
-        b, junk = self.rect.contains(event)
-
-        changed = (b != self.hover)
-
-        if changed:
-            self.set_hover_props(b)
-
-        self.hover = b
-        return changed
-
-
-class Menu(object):
-    def __init__(self, fig, menuitems):
-        self.figure = fig
-        fig.suppressComposite = True
-
-        self.menuitems = menuitems
-        self.numitems = len(menuitems)
-
-        maxw = max([item.labelwidth for item in menuitems])
-        maxh = max([item.labelheight for item in menuitems])
-
-        totalh = self.numitems*maxh + (self.numitems + 1)*2*MenuItem.pady
-
-        x0 = 100
-        y0 = 400
-
-        width = maxw + 2*MenuItem.padx
-        height = maxh + MenuItem.pady
-
-        for item in menuitems:
-            left = x0
-            bottom = y0 - maxh - MenuItem.pady
-
-            item.set_extent(left, bottom, width, height)
-
-            fig.artists.append(item)
-            y0 -= maxh + MenuItem.pady
-
-        fig.canvas.mpl_connect('motion_notify_event', self.on_move)
-
-    def on_move(self, event):
-        draw = False
-        for item in self.menuitems:
-            draw = item.set_hover(event)
-            if draw:
-                self.figure.canvas.draw()
-                break
-
-
-fig = plt.figure()
-fig.subplots_adjust(left=0.3)
-props = ItemProperties(labelcolor='black', bgcolor='yellow',
-                       fontsize=15, alpha=0.2)
-hoverprops = ItemProperties(labelcolor='white', bgcolor='blue',
-                            fontsize=15, alpha=0.2)
-
-menuitems = []
-for label in ('open', 'close', 'save', 'save as', 'quit'):
-    def on_select(item):
-        print('you selected %s' % item.labelstr)
-    item = MenuItem(fig, label, props=props, hoverprops=hoverprops,
-                    on_select=on_select)
-    menuitems.append(item)
-
-menu = Menu(fig, menuitems)
-plt.show()
diff --git a/examples/widgets/multicursor.py b/examples/widgets/multicursor.py
deleted file mode 100644
index f6c5a36bff80..000000000000
--- a/examples/widgets/multicursor.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import MultiCursor
-
-t = np.arange(0.0, 2.0, 0.01)
-s1 = np.sin(2*np.pi*t)
-s2 = np.sin(4*np.pi*t)
-fig = plt.figure()
-ax1 = fig.add_subplot(211)
-ax1.plot(t, s1)
-
-
-ax2 = fig.add_subplot(212, sharex=ax1)
-ax2.plot(t, s2)
-
-multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1)
-plt.show()
diff --git a/examples/widgets/radio_buttons.py b/examples/widgets/radio_buttons.py
deleted file mode 100644
index b3df1454c48a..000000000000
--- a/examples/widgets/radio_buttons.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import RadioButtons
-
-t = np.arange(0.0, 2.0, 0.01)
-s0 = np.sin(2*np.pi*t)
-s1 = np.sin(4*np.pi*t)
-s2 = np.sin(8*np.pi*t)
-
-fig, ax = plt.subplots()
-l, = ax.plot(t, s0, lw=2, color='red')
-plt.subplots_adjust(left=0.3)
-
-axcolor = 'lightgoldenrodyellow'
-rax = plt.axes([0.05, 0.7, 0.15, 0.15], axisbg=axcolor)
-radio = RadioButtons(rax, ('2 Hz', '4 Hz', '8 Hz'))
-
-
-def hzfunc(label):
-    hzdict = {'2 Hz': s0, '4 Hz': s1, '8 Hz': s2}
-    ydata = hzdict[label]
-    l.set_ydata(ydata)
-    plt.draw()
-radio.on_clicked(hzfunc)
-
-rax = plt.axes([0.05, 0.4, 0.15, 0.15], axisbg=axcolor)
-radio2 = RadioButtons(rax, ('red', 'blue', 'green'))
-
-
-def colorfunc(label):
-    l.set_color(label)
-    plt.draw()
-radio2.on_clicked(colorfunc)
-
-rax = plt.axes([0.05, 0.1, 0.15, 0.15], axisbg=axcolor)
-radio3 = RadioButtons(rax, ('-', '--', '-.', 'steps', ':'))
-
-
-def stylefunc(label):
-    l.set_linestyle(label)
-    plt.draw()
-radio3.on_clicked(stylefunc)
-
-plt.show()
diff --git a/examples/widgets/rectangle_selector.py b/examples/widgets/rectangle_selector.py
deleted file mode 100644
index 0efdb3635025..000000000000
--- a/examples/widgets/rectangle_selector.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from __future__ import print_function
-"""
-Do a mouseclick somewhere, move the mouse to some destination, release
-the button.  This class gives click- and release-events and also draws
-a line or a box from the click-point to the actual mouseposition
-(within the same axes) until the button is released.  Within the
-method 'self.ignore()' it is checked wether the button from eventpress
-and eventrelease are the same.
-
-"""
-from matplotlib.widgets import RectangleSelector
-import numpy as np
-import matplotlib.pyplot as plt
-
-
-def line_select_callback(eclick, erelease):
-    'eclick and erelease are the press and release events'
-    x1, y1 = eclick.xdata, eclick.ydata
-    x2, y2 = erelease.xdata, erelease.ydata
-    print("(%3.2f, %3.2f) --> (%3.2f, %3.2f)" % (x1, y1, x2, y2))
-    print(" The button you used were: %s %s" % (eclick.button, erelease.button))
-
-
-def toggle_selector(event):
-    print(' Key pressed.')
-    if event.key in ['Q', 'q'] and toggle_selector.RS.active:
-        print(' RectangleSelector deactivated.')
-        toggle_selector.RS.set_active(False)
-    if event.key in ['A', 'a'] and not toggle_selector.RS.active:
-        print(' RectangleSelector activated.')
-        toggle_selector.RS.set_active(True)
-
-
-fig, current_ax = plt.subplots()                    # make a new plotingrange
-N = 100000                                       # If N is large one can see
-x = np.linspace(0.0, 10.0, N)                    # improvement by use blitting!
-
-plt.plot(x, +np.sin(.2*np.pi*x), lw=3.5, c='b', alpha=.7)  # plot something
-plt.plot(x, +np.cos(.2*np.pi*x), lw=3.5, c='r', alpha=.5)
-plt.plot(x, -np.sin(.2*np.pi*x), lw=3.5, c='g', alpha=.3)
-
-print("\n      click  -->  release")
-
-# drawtype is 'box' or 'line' or 'none'
-toggle_selector.RS = RectangleSelector(current_ax, line_select_callback,
-                                       drawtype='box', useblit=True,
-                                       button=[1, 3],  # don't use middle button
-                                       minspanx=5, minspany=5,
-                                       spancoords='pixels')
-plt.connect('key_press_event', toggle_selector)
-plt.show()
diff --git a/examples/widgets/slider_demo.py b/examples/widgets/slider_demo.py
deleted file mode 100644
index ba18fa5220b7..000000000000
--- a/examples/widgets/slider_demo.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import Slider, Button, RadioButtons
-
-fig, ax = plt.subplots()
-plt.subplots_adjust(left=0.25, bottom=0.25)
-t = np.arange(0.0, 1.0, 0.001)
-a0 = 5
-f0 = 3
-s = a0*np.sin(2*np.pi*f0*t)
-l, = plt.plot(t, s, lw=2, color='red')
-plt.axis([0, 1, -10, 10])
-
-axcolor = 'lightgoldenrodyellow'
-axfreq = plt.axes([0.25, 0.1, 0.65, 0.03], axisbg=axcolor)
-axamp = plt.axes([0.25, 0.15, 0.65, 0.03], axisbg=axcolor)
-
-sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0)
-samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0)
-
-
-def update(val):
-    amp = samp.val
-    freq = sfreq.val
-    l.set_ydata(amp*np.sin(2*np.pi*freq*t))
-    fig.canvas.draw_idle()
-sfreq.on_changed(update)
-samp.on_changed(update)
-
-resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
-button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
-
-
-def reset(event):
-    sfreq.reset()
-    samp.reset()
-button.on_clicked(reset)
-
-rax = plt.axes([0.025, 0.5, 0.15, 0.15], axisbg=axcolor)
-radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0)
-
-
-def colorfunc(label):
-    l.set_color(label)
-    fig.canvas.draw_idle()
-radio.on_clicked(colorfunc)
-
-plt.show()
diff --git a/examples/widgets/span_selector.py b/examples/widgets/span_selector.py
deleted file mode 100644
index de4152fd7f7e..000000000000
--- a/examples/widgets/span_selector.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env python
-"""
-The SpanSelector is a mouse widget to select a xmin/xmax range and plot the
-detail view of the selected region in the lower axes
-"""
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.widgets import SpanSelector
-
-fig = plt.figure(figsize=(8, 6))
-ax = fig.add_subplot(211, axisbg='#FFFFCC')
-
-x = np.arange(0.0, 5.0, 0.01)
-y = np.sin(2*np.pi*x) + 0.5*np.random.randn(len(x))
-
-ax.plot(x, y, '-')
-ax.set_ylim(-2, 2)
-ax.set_title('Press left mouse button and drag to test')
-
-ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
-line2, = ax2.plot(x, y, '-')
-
-
-def onselect(xmin, xmax):
-    indmin, indmax = np.searchsorted(x, (xmin, xmax))
-    indmax = min(len(x) - 1, indmax)
-
-    thisx = x[indmin:indmax]
-    thisy = y[indmin:indmax]
-    line2.set_data(thisx, thisy)
-    ax2.set_xlim(thisx[0], thisx[-1])
-    ax2.set_ylim(thisy.min(), thisy.max())
-    fig.canvas.draw()
-
-# set useblit True on gtkagg for enhanced performance
-span = SpanSelector(ax, onselect, 'horizontal', useblit=True,
-                    rectprops=dict(alpha=0.5, facecolor='red'))
-
-
-plt.show()
diff --git a/extern/agg24-svn/include/agg_basics.h b/extern/agg24-svn/include/agg_basics.h
index 112bb3524c94..309713002b37 100644
--- a/extern/agg24-svn/include/agg_basics.h
+++ b/extern/agg24-svn/include/agg_basics.h
@@ -228,7 +228,7 @@ namespace agg
     {
         AGG_INLINE static unsigned mul(unsigned a, unsigned b)
         {
-            register unsigned q = a * b + (1 << (Shift-1));
+            unsigned q = a * b + (1 << (Shift-1));
             return (q + (q >> Shift)) >> Shift;
         }
     };
diff --git a/extern/agg24-svn/include/agg_image_accessors.h b/extern/agg24-svn/include/agg_image_accessors.h
index 7c3902824437..c651d6d2e8dd 100644
--- a/extern/agg24-svn/include/agg_image_accessors.h
+++ b/extern/agg24-svn/include/agg_image_accessors.h
@@ -174,8 +174,8 @@ namespace agg
     private:
         AGG_INLINE const int8u* pixel() const
         {
-            register int x = m_x;
-            register int y = m_y;
+            int x = m_x;
+            int y = m_y;
             if(x < 0) x = 0;
             if(y < 0) y = 0;
             if(x >= (int)m_pixf->width())  x = m_pixf->width() - 1;
diff --git a/extern/agg24-svn/include/agg_math_stroke.h b/extern/agg24-svn/include/agg_math_stroke.h
index 4806dcd4bf79..4871d96cef61 100644
--- a/extern/agg24-svn/include/agg_math_stroke.h
+++ b/extern/agg24-svn/include/agg_math_stroke.h
@@ -391,7 +391,8 @@ namespace agg
         vc.remove_all();
 
         double cp = cross_product(v0.x, v0.y, v1.x, v1.y, v2.x, v2.y);
-        if(cp != 0 && (cp > 0) == (m_width > 0))
+        if ((cp > agg::vertex_dist_epsilon && m_width > 0) ||
+            (cp < -agg::vertex_dist_epsilon && m_width < 0))
         {
             // Inner join
             //---------------
diff --git a/extern/agg24-svn/include/agg_pixfmt_gray.h b/extern/agg24-svn/include/agg_pixfmt_gray.h
index d03dc8650170..438f04d33d4c 100644
--- a/extern/agg24-svn/include/agg_pixfmt_gray.h
+++ b/extern/agg24-svn/include/agg_pixfmt_gray.h
@@ -136,14 +136,13 @@ namespace agg
         typedef typename color_type::calc_type    calc_type;
         enum 
         {
-            num_components = 1,
             pix_width = sizeof(value_type) * Step,
             pix_step = Step,
             pix_offset = Offset,
         };
         struct pixel_type
         {
-            value_type c[num_components];
+            value_type c[pix_step];
 
             void set(value_type v)
             {
@@ -167,22 +166,22 @@ namespace agg
 
             pixel_type* next()
             {
-                return (pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             const pixel_type* next() const
             {
-                return (const pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             pixel_type* advance(int n)
             {
-                return (pixel_type*)(c + n * pix_step);
+                return this + n;
             }
 
             const pixel_type* advance(int n) const
             {
-                return (const pixel_type*)(c + n * pix_step);
+                return this + n;
             }
         };
 
diff --git a/extern/agg24-svn/include/agg_pixfmt_rgb.h b/extern/agg24-svn/include/agg_pixfmt_rgb.h
index 6fa8772ce061..7095fbce58d6 100644
--- a/extern/agg24-svn/include/agg_pixfmt_rgb.h
+++ b/extern/agg24-svn/include/agg_pixfmt_rgb.h
@@ -192,14 +192,13 @@ namespace agg
         typedef typename color_type::calc_type calc_type;
         enum 
         {
-            num_components = 3,
             pix_step = Step,
             pix_offset = Offset,
             pix_width = sizeof(value_type) * pix_step
         };
         struct pixel_type
         {
-            value_type c[num_components];
+            value_type c[pix_step];
 
             void set(value_type r, value_type g, value_type b)
             {
@@ -230,22 +229,22 @@ namespace agg
 
             pixel_type* next()
             {
-                return (pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             const pixel_type* next() const
             {
-                return (const pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             pixel_type* advance(int n)
             {
-                return (pixel_type*)(c + n * pix_step);
+                return this + n;
             }
 
             const pixel_type* advance(int n) const
             {
-                return (const pixel_type*)(c + n * pix_step);
+                return this + n;
             }
         };
 
diff --git a/extern/agg24-svn/include/agg_pixfmt_rgba.h b/extern/agg24-svn/include/agg_pixfmt_rgba.h
index 701ccad6ef6a..e9cd523b375f 100644
--- a/extern/agg24-svn/include/agg_pixfmt_rgba.h
+++ b/extern/agg24-svn/include/agg_pixfmt_rgba.h
@@ -1515,13 +1515,12 @@ namespace agg
         typedef typename color_type::calc_type calc_type;
         enum 
         {
-            num_components = 4,
             pix_step = 4,
             pix_width = sizeof(value_type) * pix_step,
         };
         struct pixel_type
         {
-            value_type c[num_components];
+            value_type c[pix_step];
 
             void set(value_type r, value_type g, value_type b, value_type a)
             {
@@ -1555,22 +1554,22 @@ namespace agg
 
             pixel_type* next()
             {
-                return (pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             const pixel_type* next() const
             {
-                return (const pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             pixel_type* advance(int n)
             {
-                return (pixel_type*)(c + n * pix_step);
+                return this + n;
             }
 
             const pixel_type* advance(int n) const
             {
-                return (const pixel_type*)(c + n * pix_step);
+                return this + n;
             }
         };
 
@@ -2193,13 +2192,12 @@ namespace agg
         typedef typename color_type::calc_type calc_type;
         enum 
         {
-            num_components = 4,
             pix_step = 4,
             pix_width  = sizeof(value_type) * pix_step,
         };
         struct pixel_type
         {
-            value_type c[num_components];
+            value_type c[pix_step];
 
             void set(value_type r, value_type g, value_type b, value_type a)
             {
@@ -2233,22 +2231,22 @@ namespace agg
 
             pixel_type* next()
             {
-                return (pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             const pixel_type* next() const
             {
-                return (const pixel_type*)(c + pix_step);
+                return this + 1;
             }
 
             pixel_type* advance(int n)
             {
-                return (pixel_type*)(c + n * pix_step);
+                return this + n;
             }
 
             const pixel_type* advance(int n) const
             {
-                return (const pixel_type*)(c + n * pix_step);
+                return this + n;
             }
         };
 
diff --git a/extern/agg24-svn/include/agg_rasterizer_cells_aa.h b/extern/agg24-svn/include/agg_rasterizer_cells_aa.h
old mode 100755
new mode 100644
index 3809bdb70510..44a55417b492
--- a/extern/agg24-svn/include/agg_rasterizer_cells_aa.h
+++ b/extern/agg24-svn/include/agg_rasterizer_cells_aa.h
@@ -325,10 +325,13 @@ namespace agg
 
         if(dx >= dx_limit || dx <= -dx_limit)
         {
-            int cx = (x1 + x2) >> 1;
-            int cy = (y1 + y2) >> 1;
+            // These are overflow safe versions of (x1 + x2) >> 1; divide each by 2
+            // first, then add 1 if both were odd.
+            int cx = (x1 >> 1) + (x2 >> 1) + ((x1 & 1) & (x2 & 1));
+            int cy = (y1 >> 1) + (y2 >> 1) + ((y1 & 1) & (y2 & 1));
             line(x1, y1, cx, cy);
             line(cx, cy, x2, y2);
+            return;
         }
 
         int dy = y2 - y1;
diff --git a/extern/agg24-svn/include/agg_rasterizer_compound_aa.h b/extern/agg24-svn/include/agg_rasterizer_compound_aa.h
old mode 100755
new mode 100644
diff --git a/extern/agg24-svn/include/agg_rasterizer_scanline_aa_nogamma.h b/extern/agg24-svn/include/agg_rasterizer_scanline_aa_nogamma.h
index 6c3d96fc6160..7729b3359a10 100644
--- a/extern/agg24-svn/include/agg_rasterizer_scanline_aa_nogamma.h
+++ b/extern/agg24-svn/include/agg_rasterizer_scanline_aa_nogamma.h
@@ -60,7 +60,7 @@ namespace agg
 
         int not_equal(int ex, int ey, const cell_aa&) const
         {
-            return (ex - x) | (ey - y);
+            return ex != x || ey != y;
         }
     };
 
diff --git a/extern/agg24-svn/include/agg_rendering_buffer.h b/extern/agg24-svn/include/agg_rendering_buffer.h
index 0eff6ff27d3d..191347f63e27 100644
--- a/extern/agg24-svn/include/agg_rendering_buffer.h
+++ b/extern/agg24-svn/include/agg_rendering_buffer.h
@@ -62,7 +62,7 @@ namespace agg
             m_stride = stride;
             if(stride < 0) 
             { 
-                m_start = m_buf - int(height - 1) * stride;
+                m_start = m_buf - (AGG_INT64)(height - 1) * stride;
             }
         }
 
@@ -80,10 +80,10 @@ namespace agg
         //--------------------------------------------------------------------
         AGG_INLINE       T* row_ptr(int, int y, unsigned) 
         { 
-            return m_start + y * m_stride; 
+            return m_start + y * (AGG_INT64)m_stride;
         }
-        AGG_INLINE       T* row_ptr(int y)       { return m_start + y * m_stride; }
-        AGG_INLINE const T* row_ptr(int y) const { return m_start + y * m_stride; }
+        AGG_INLINE       T* row_ptr(int y)       { return m_start + y * (AGG_INT64)m_stride; }
+        AGG_INLINE const T* row_ptr(int y) const { return m_start + y * (AGG_INT64)m_stride; }
         AGG_INLINE row_data row    (int y) const 
         { 
             return row_data(0, m_width-1, row_ptr(y)); 
@@ -181,7 +181,7 @@ namespace agg
 
             if(stride < 0)
             {
-                row_ptr = m_buf - int(height - 1) * stride;
+                row_ptr = m_buf - (AGG_INT64)(height - 1) * stride;
             }
 
             T** rows = &m_rows[0];
diff --git a/extern/agg24-svn/include/agg_scanline_storage_aa.h b/extern/agg24-svn/include/agg_scanline_storage_aa.h
index 7148c8992224..b3471fce7682 100644
--- a/extern/agg24-svn/include/agg_scanline_storage_aa.h
+++ b/extern/agg24-svn/include/agg_scanline_storage_aa.h
@@ -720,10 +720,10 @@ namespace agg
             m_ptr = m_data;
             if(m_ptr < m_end)
             {
-                m_min_x = read_int32() + m_dx; 
-                m_min_y = read_int32() + m_dy;
-                m_max_x = read_int32() + m_dx;
-                m_max_y = read_int32() + m_dy;
+                m_min_x = read_int32u() + m_dx;
+                m_min_y = read_int32u() + m_dy;
+                m_max_x = read_int32u() + m_dx;
+                m_max_y = read_int32u() + m_dy;
             }
             return m_ptr < m_end;
         }
diff --git a/extern/agg24-svn/include/agg_scanline_u.h b/extern/agg24-svn/include/agg_scanline_u.h
index 630eb9deac3b..2628f55f47bf 100644
--- a/extern/agg24-svn/include/agg_scanline_u.h
+++ b/extern/agg24-svn/include/agg_scanline_u.h
@@ -62,7 +62,7 @@ namespace agg
     //
     // scanline_u8::const_iterator span = sl.begin();
     // 
-    // unsigned char* row = m_rbuf->row(y); // The the address of the beginning 
+    // unsigned char* row = m_rbuf->row(y); // The address of the beginning
     //                                      // of the current row
     // 
     // unsigned num_spans = sl.num_spans(); // Number of spans. It's guaranteed that
diff --git a/extern/agg24-svn/include/agg_span_gouraud_rgba.h b/extern/agg24-svn/include/agg_span_gouraud_rgba.h
index 89192d227bee..1b2857202971 100644
--- a/extern/agg24-svn/include/agg_span_gouraud_rgba.h
+++ b/extern/agg24-svn/include/agg_span_gouraud_rgba.h
@@ -198,10 +198,10 @@ namespace agg
                 vg = g.y();
                 vb = b.y();
                 va = a.y();
-                if(vr < 0) vr = 0; if(vr > lim) vr = lim;
-                if(vg < 0) vg = 0; if(vg > lim) vg = lim;
-                if(vb < 0) vb = 0; if(vb > lim) vb = lim;
-                if(va < 0) va = 0; if(va > lim) va = lim;
+                if(vr < 0) { vr = 0; }; if(vr > lim) { vr = lim; };
+                if(vg < 0) { vg = 0; }; if(vg > lim) { vg = lim; };
+                if(vb < 0) { vb = 0; }; if(vb > lim) { vb = lim; };
+                if(va < 0) { va = 0; }; if(va > lim) { va = lim; };
                 span->r = (value_type)vr;
                 span->g = (value_type)vg;
                 span->b = (value_type)vb;
@@ -245,10 +245,10 @@ namespace agg
                 vg = g.y();
                 vb = b.y();
                 va = a.y();
-                if(vr < 0) vr = 0; if(vr > lim) vr = lim;
-                if(vg < 0) vg = 0; if(vg > lim) vg = lim;
-                if(vb < 0) vb = 0; if(vb > lim) vb = lim;
-                if(va < 0) va = 0; if(va > lim) va = lim;
+                if(vr < 0) { vr = 0; }; if(vr > lim) { vr = lim; };
+                if(vg < 0) { vg = 0; }; if(vg > lim) { vg = lim; };
+                if(vb < 0) { vb = 0; }; if(vb > lim) { vb = lim; };
+                if(va < 0) { va = 0; }; if(va > lim) { va = lim; };
                 span->r = (value_type)vr;
                 span->g = (value_type)vg;
                 span->b = (value_type)vb;
diff --git a/extern/agg24-svn/include/agg_span_gradient_contour.h b/extern/agg24-svn/include/agg_span_gradient_contour.h
index 142c2e6d1a34..899bb799b6c5 100644
--- a/extern/agg24-svn/include/agg_span_gradient_contour.h
+++ b/extern/agg24-svn/include/agg_span_gradient_contour.h
@@ -2,7 +2,7 @@
 // AGG Contribution Pack - Gradients 1 (AGG CP - Gradients 1)
 // http://milan.marusinec.sk/aggcp
 //
-// For Anti-Grain Geometry - Version 2.4 
+// For Anti-Grain Geometry - Version 2.4
 // http://www.antigrain.org
 //
 // Contribution Created By:
@@ -49,7 +49,7 @@ namespace agg
 		int    m_frame;
 
 		double m_d1;
-		double m_d2; 
+		double m_d2;
 
 	public:
 		gradient_contour() :
@@ -90,7 +90,7 @@ namespace agg
 
 		void   frame(int f ) { m_frame = f; }
 		int    frame() { return m_frame; }
-		
+
 		int calculate(int x, int y, int d) const
 		{
 			if (m_buffer)
@@ -193,7 +193,7 @@ namespace agg
 				   // Setup VG Engine & Render
 					agg::rendering_buffer rb;
 					rb.attach(buffer ,width ,height ,width );
-					
+
 					agg::pixfmt_gray8 pf(rb);
 					agg::renderer_base<agg::pixfmt_gray8> renb(pf );
 
@@ -209,14 +209,14 @@ namespace agg
 					ras.add_path(trans );
 
 				   // II. Distance Transform
-				   // Create Float Buffer + 0 vs infinity (1e20) assignment
+				   // Create Float Buffer + 0 vs. infinity (1e20) assignment
 					float* image = new float[width * height];
 
 					if (image)
 					{
-						for (int y = 0, l = 0; y < height; y++ ) 
+						for (int y = 0, l = 0; y < height; y++ )
 						{
-							for (int x = 0; x < width; x++, l++ ) 
+							for (int x = 0; x < width; x++, l++ )
 							{
 								if (buffer[l ] == 0)
 								{
@@ -227,7 +227,7 @@ namespace agg
 									image[l ] = float(infinity );
 								}
 							}
-													
+
 						}
 
 					   // DT of 2d
@@ -247,9 +247,9 @@ namespace agg
 						if ((spanf) && (spang) && (spanr) && (spann))
 						{
 						   // Transform along columns
-							for (int x = 0; x < width; x++ ) 
+							for (int x = 0; x < width; x++ )
 							{
-								for (int y = 0; y < height; y++ ) 
+								for (int y = 0; y < height; y++ )
 								{
 									spanf[y] = image[y * width + x];
 								}
@@ -257,16 +257,16 @@ namespace agg
 							   // DT of 1d
 								dt(spanf ,spang ,spanr ,spann ,height );
 
-								for (int y = 0; y < height; y++ ) 
+								for (int y = 0; y < height; y++ )
 								{
 									image[y * width + x] = spanr[y];
 								}
 							}
 
 						   // Transform along rows
-							for (int y = 0; y < height; y++ ) 
+							for (int y = 0; y < height; y++ )
 							{
-								for (int x = 0; x < width; x++ ) 
+								for (int x = 0; x < width; x++ )
 								{
 									spanf[x] = image[y * width + x];
 								}
@@ -274,7 +274,7 @@ namespace agg
 							   // DT of 1d
 								dt(spanf ,spang ,spanr ,spann ,width );
 
-								for (int x = 0; x < width; x++ ) 
+								for (int x = 0; x < width; x++ )
 								{
 									image[y * width + x] = spanr[x];
 								}
@@ -284,9 +284,9 @@ namespace agg
 							float min = sqrt(image[0] );
 							float max = min;
 
-							for (int y = 0, l = 0; y < height; y++ ) 
+							for (int y = 0, l = 0; y < height; y++ )
 							{
-								for (int x = 0; x < width; x++, l++ ) 
+								for (int x = 0; x < width; x++, l++ )
 								{
 									image[l] = sqrt(image[l]);
 
@@ -312,9 +312,9 @@ namespace agg
 							{
 								float scale = 255 / (max - min );
 
-								for (int y = 0, l = 0; y < height; y++ ) 
+								for (int y = 0, l = 0; y < height; y++ )
 								{
-									for (int x = 0; x < width; x++ ,l++ ) 
+									for (int x = 0; x < width; x++ ,l++ )
 									{
 										buffer[l] = int8u(int((image[l] - min ) * scale ));
 									}
@@ -335,7 +335,7 @@ namespace agg
 							result = m_buffer;
 
 						}
-	
+
 						if (spanf) { delete [] spanf; }
 						if (spang) { delete [] spang; }
 						if (spanr) { delete [] spanr; }
diff --git a/extern/agg24-svn/include/agg_span_image_filter_gray.h b/extern/agg24-svn/include/agg_span_image_filter_gray.h
index 4bc9c00be666..7ca583af724d 100644
--- a/extern/agg24-svn/include/agg_span_image_filter_gray.h
+++ b/extern/agg24-svn/include/agg_span_image_filter_gray.h
@@ -397,7 +397,9 @@ namespace agg
                 fg += weight * *fg_ptr;
 
                 fg >>= image_filter_shift;
+#ifndef MPL_DISABLE_AGG_GRAY_CLIPPING
                 if(fg > color_type::full_value()) fg = color_type::full_value();
+#endif
 
                 span->v = (value_type)fg;
                 span->a = color_type::full_value();
@@ -490,9 +492,11 @@ namespace agg
                     fg_ptr = (const value_type*)base_type::source().next_y();
                 }
 
-                fg >>= image_filter_shift;
+                fg = color_type::downshift(fg, image_filter_shift);
+#ifndef MPL_DISABLE_AGG_GRAY_CLIPPING
                 if(fg < 0) fg = 0;
                 if(fg > color_type::full_value()) fg = color_type::full_value();
+#endif
                 span->v = (value_type)fg;
                 span->a = color_type::full_value();
 
@@ -593,8 +597,10 @@ namespace agg
                 }
 
                 fg /= total_weight;
+#ifndef MPL_DISABLE_AGG_GRAY_CLIPPING
                 if(fg < 0) fg = 0;
                 if(fg > color_type::full_value()) fg = color_type::full_value();
+#endif
 
                 span->v = (value_type)fg;
                 span->a = color_type::full_value();
@@ -701,8 +707,10 @@ namespace agg
                 }
 
                 fg /= total_weight;
+#ifndef MPL_DISABLE_AGG_GRAY_CLIPPING
                 if(fg < 0) fg = 0;
                 if(fg > color_type::full_value()) fg = color_type::full_value();
+#endif
 
                 span->v = (value_type)fg;
                 span->a = color_type::full_value();
diff --git a/extern/agg24-svn/include/agg_trans_affine.h b/extern/agg24-svn/include/agg_trans_affine.h
index 8933d7618a37..1a611638833b 100644
--- a/extern/agg24-svn/include/agg_trans_affine.h
+++ b/extern/agg24-svn/include/agg_trans_affine.h
@@ -292,7 +292,7 @@ namespace agg
     //------------------------------------------------------------------------
     inline void trans_affine::transform(double* x, double* y) const
     {
-        register double tmp = *x;
+        double tmp = *x;
         *x = tmp * sx  + *y * shx + tx;
         *y = tmp * shy + *y * sy  + ty;
     }
@@ -300,7 +300,7 @@ namespace agg
     //------------------------------------------------------------------------
     inline void trans_affine::transform_2x2(double* x, double* y) const
     {
-        register double tmp = *x;
+        double tmp = *x;
         *x = tmp * sx  + *y * shx;
         *y = tmp * shy + *y * sy;
     }
@@ -308,9 +308,9 @@ namespace agg
     //------------------------------------------------------------------------
     inline void trans_affine::inverse_transform(double* x, double* y) const
     {
-        register double d = determinant_reciprocal();
-        register double a = (*x - tx) * d;
-        register double b = (*y - ty) * d;
+        double d = determinant_reciprocal();
+        double a = (*x - tx) * d;
+        double b = (*y - ty) * d;
         *x = a * sy - b * shx;
         *y = b * sx - a * shy;
     }
diff --git a/extern/agg24-svn/include/platform/agg_platform_support.h b/extern/agg24-svn/include/platform/agg_platform_support.h
index bad524dab275..9a63411e5084 100644
--- a/extern/agg24-svn/include/platform/agg_platform_support.h
+++ b/extern/agg24-svn/include/platform/agg_platform_support.h
@@ -18,7 +18,7 @@
 // It's not a part of the AGG library, it's just a helper class to create 
 // interactive demo examples. Since the examples should not be too complex
 // this class is provided to support some very basic interactive graphical
-// funtionality, such as putting the rendered image to the window, simple 
+// functionality, such as putting the rendered image to the window, simple 
 // keyboard and mouse input, window resizing, setting the window title,
 // and catching the "idle" events.
 // 
@@ -644,7 +644,7 @@ namespace agg
         // open it in the current directory. The demos usually expect 
         // all the supplementary files to be placed in the current 
         // directory, that is usually coincides with the directory where
-        // the the executable is. However, in some systems (BeOS) it's not so. 
+        // the executable is. However, in some systems (BeOS) it's not so.
         // For those kinds of systems full_file_name() can help access files 
         // preserving commonly used policy.
         // So, it's a good idea to use in the demos the following:
diff --git a/extern/agg24-svn/meson.build b/extern/agg24-svn/meson.build
new file mode 100644
index 000000000000..a1c088423cb8
--- /dev/null
+++ b/extern/agg24-svn/meson.build
@@ -0,0 +1,22 @@
+# We need a patched Agg not available elsewhere, so always use the vendored
+# version.
+
+agg_incdir = include_directories('include')
+
+agg_lib = static_library('agg',
+  'src/agg_bezier_arc.cpp',
+  'src/agg_curves.cpp',
+  'src/agg_image_filters.cpp',
+  'src/agg_trans_affine.cpp',
+  'src/agg_vcgen_contour.cpp',
+  'src/agg_vcgen_dash.cpp',
+  'src/agg_vcgen_stroke.cpp',
+  'src/agg_vpgen_segmentator.cpp',
+  include_directories : agg_incdir,
+  gnu_symbol_visibility: 'inlineshidden',
+)
+
+agg_dep = declare_dependency(
+  include_directories: agg_incdir,
+  link_with: agg_lib,
+)
diff --git a/extern/agg24-svn/src/platform/win32/agg_platform_support.cpp b/extern/agg24-svn/src/platform/win32/agg_platform_support.cpp
index d9eba30fd8b7..ea9123802f2b 100644
--- a/extern/agg24-svn/src/platform/win32/agg_platform_support.cpp
+++ b/extern/agg24-svn/src/platform/win32/agg_platform_support.cpp
@@ -1480,7 +1480,7 @@ namespace agg
         tok.len = 0;
         if(m_src_string == 0 || m_start == -1) return tok;
 
-        register const char *pstr = m_src_string + m_start;
+        const char *pstr = m_src_string + m_start;
 
         if(*pstr == 0) 
         {
diff --git a/extern/meson.build b/extern/meson.build
new file mode 100644
index 000000000000..5463183a9099
--- /dev/null
+++ b/extern/meson.build
@@ -0,0 +1,33 @@
+# Bundled code.
+subdir('agg24-svn')
+
+# External code.
+
+# FreeType 2.3 has libtool version 9.11.3 as can be checked from the tarball.
+# For FreeType>=2.4, there is a conversion table in docs/VERSIONS.txt in the
+# FreeType source tree.
+if get_option('system-freetype')
+  freetype_dep = dependency('freetype2', version: '>=9.11.3')
+else
+  # This is the version of FreeType to use when building a local version. It
+  # must match the value in `lib/matplotlib.__init__.py`. Also update the docs
+  # in `docs/devel/dependencies.rst`. Bump the cache key in
+  # `.circleci/config.yml` when changing requirements.
+  LOCAL_FREETYPE_VERSION = '2.6.1'
+
+  freetype_proj = subproject(
+    f'freetype-@LOCAL_FREETYPE_VERSION@',
+    default_options: ['default_library=static'])
+  freetype_dep = freetype_proj.get_variable('freetype_dep')
+endif
+
+if get_option('system-qhull')
+  qhull_dep = dependency('qhull_r', version: '>=8.0.2', required: false)
+  if not qhull_dep.found()
+    cc.check_header('libqhull_r/qhull_ra.h', required: true)
+    qhull_dep = cc.find_library('qhull_r')
+  endif
+else
+  qhull_proj = subproject('qhull')
+  qhull_dep = qhull_proj.get_variable('qhull_dep')
+endif
diff --git a/extern/qhull/COPYING.txt b/extern/qhull/COPYING.txt
deleted file mode 100644
index a4a4ade56e19..000000000000
--- a/extern/qhull/COPYING.txt
+++ /dev/null
@@ -1,38 +0,0 @@
-                    Qhull, Copyright (c) 1993-2012
-
-                            C.B. Barber
-                           Arlington, MA
-
-                               and
-
-       The National Science and Technology Research Center for
-        Computation and Visualization of Geometric Structures
-                        (The Geometry Center)
-                       University of Minnesota
-
-                       email: qhull@qhull.org
-
-This software includes Qhull from C.B. Barber and The Geometry Center.
-Qhull is copyrighted as noted above.  Qhull is free software and may
-be obtained via http from www.qhull.org.  It may be freely copied, modified,
-and redistributed under the following conditions:
-
-1. All copyright notices must remain intact in all files.
-
-2. A copy of this text file must be distributed along with any copies
-   of Qhull that you redistribute; this includes copies that you have
-   modified, or copies of programs or other software products that
-   include Qhull.
-
-3. If you modify Qhull, you must include a notice giving the
-   name of the person performing the modification, the date of
-   modification, and the reason for such modification.
-
-4. When distributing modified versions of Qhull, or other software
-   products that include Qhull, you must provide notice that the original
-   source code may be obtained as noted above.
-
-5. There is no warranty or other guarantee of fitness for Qhull, it is
-   provided solely "as is".  Bug reports or fixes may be sent to
-   qhull_bug@qhull.org; the authors may or may not act on them as
-   they desire.
diff --git a/extern/qhull/geom.c b/extern/qhull/geom.c
deleted file mode 100644
index a1517874aab4..000000000000
--- a/extern/qhull/geom.c
+++ /dev/null
@@ -1,1231 +0,0 @@
-/*<html><pre>  -<a                             href="qh-geom.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   geom.c
-   geometric routines of qhull
-
-   see qh-geom.htm and geom.h
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/geom.c#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-
-   infrequent code goes into geom2.c
-*/
-
-#include "qhull_a.h"
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="distplane">-</a>
-
-  qh_distplane( point, facet, dist )
-    return distance from point to facet
-
-  returns:
-    dist
-    if qh.RANDOMdist, joggles result
-
-  notes:
-    dist > 0 if point is above facet (i.e., outside)
-    does not error (for qh_sortfacets, qh_outerinner)
-
-  see:
-    qh_distnorm in geom2.c
-    qh_distplane [geom.c], QhullFacet::distance, and QhullHyperplane::distance are copies
-*/
-void qh_distplane(pointT *point, facetT *facet, realT *dist) {
-  coordT *normal= facet->normal, *coordp, randr;
-  int k;
-
-  switch (qh hull_dim){
-  case 2:
-    *dist= facet->offset + point[0] * normal[0] + point[1] * normal[1];
-    break;
-  case 3:
-    *dist= facet->offset + point[0] * normal[0] + point[1] * normal[1] + point[2] * normal[2];
-    break;
-  case 4:
-    *dist= facet->offset+point[0]*normal[0]+point[1]*normal[1]+point[2]*normal[2]+point[3]*normal[3];
-    break;
-  case 5:
-    *dist= facet->offset+point[0]*normal[0]+point[1]*normal[1]+point[2]*normal[2]+point[3]*normal[3]+point[4]*normal[4];
-    break;
-  case 6:
-    *dist= facet->offset+point[0]*normal[0]+point[1]*normal[1]+point[2]*normal[2]+point[3]*normal[3]+point[4]*normal[4]+point[5]*normal[5];
-    break;
-  case 7:
-    *dist= facet->offset+point[0]*normal[0]+point[1]*normal[1]+point[2]*normal[2]+point[3]*normal[3]+point[4]*normal[4]+point[5]*normal[5]+point[6]*normal[6];
-    break;
-  case 8:
-    *dist= facet->offset+point[0]*normal[0]+point[1]*normal[1]+point[2]*normal[2]+point[3]*normal[3]+point[4]*normal[4]+point[5]*normal[5]+point[6]*normal[6]+point[7]*normal[7];
-    break;
-  default:
-    *dist= facet->offset;
-    coordp= point;
-    for (k=qh hull_dim; k--; )
-      *dist += *coordp++ * *normal++;
-    break;
-  }
-  zinc_(Zdistplane);
-  if (!qh RANDOMdist && qh IStracing < 4)
-    return;
-  if (qh RANDOMdist) {
-    randr= qh_RANDOMint;
-    *dist += (2.0 * randr / qh_RANDOMmax - 1.0) *
-      qh RANDOMfactor * qh MAXabs_coord;
-  }
-  if (qh IStracing >= 4) {
-    qh_fprintf(qh ferr, 8001, "qh_distplane: ");
-    qh_fprintf(qh ferr, 8002, qh_REAL_1, *dist);
-    qh_fprintf(qh ferr, 8003, "from p%d to f%d\n", qh_pointid(point), facet->id);
-  }
-  return;
-} /* distplane */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="findbest">-</a>
-
-  qh_findbest( point, startfacet, bestoutside, qh_ISnewfacets, qh_NOupper, dist, isoutside, numpart )
-    find facet that is furthest below a point
-    for upperDelaunay facets
-      returns facet only if !qh_NOupper and clearly above
-
-  input:
-    starts search at 'startfacet' (can not be flipped)
-    if !bestoutside(qh_ALL), stops at qh.MINoutside
-
-  returns:
-    best facet (reports error if NULL)
-    early out if isoutside defined and bestdist > qh.MINoutside
-    dist is distance to facet
-    isoutside is true if point is outside of facet
-    numpart counts the number of distance tests
-
-  see also:
-    qh_findbestnew()
-
-  notes:
-    If merging (testhorizon), searches horizon facets of coplanar best facets because
-    after qh_distplane, this and qh_partitionpoint are the most expensive in 3-d
-      avoid calls to distplane, function calls, and real number operations.
-    caller traces result
-    Optimized for outside points.   Tried recording a search set for qh_findhorizon.
-    Made code more complicated.
-
-  when called by qh_partitionvisible():
-    indicated by qh_ISnewfacets
-    qh.newfacet_list is list of simplicial, new facets
-    qh_findbestnew set if qh_sharpnewfacets returns True (to use qh_findbestnew)
-    qh.bestfacet_notsharp set if qh_sharpnewfacets returns False
-
-  when called by qh_findfacet(), qh_partitionpoint(), qh_partitioncoplanar(),
-                 qh_check_bestdist(), qh_addpoint()
-    indicated by !qh_ISnewfacets
-    returns best facet in neighborhood of given facet
-      this is best facet overall if dist > -   qh.MAXcoplanar
-        or hull has at least a "spherical" curvature
-
-  design:
-    initialize and test for early exit
-    repeat while there are better facets
-      for each neighbor of facet
-        exit if outside facet found
-        test for better facet
-    if point is inside and partitioning
-      test for new facets with a "sharp" intersection
-      if so, future calls go to qh_findbestnew()
-    test horizon facets
-*/
-facetT *qh_findbest(pointT *point, facetT *startfacet,
-                     boolT bestoutside, boolT isnewfacets, boolT noupper,
-                     realT *dist, boolT *isoutside, int *numpart) {
-  realT bestdist= -REALmax/2 /* avoid underflow */;
-  facetT *facet, *neighbor, **neighborp;
-  facetT *bestfacet= NULL, *lastfacet= NULL;
-  int oldtrace= qh IStracing;
-  unsigned int visitid= ++qh visit_id;
-  int numpartnew=0;
-  boolT testhorizon = True; /* needed if precise, e.g., rbox c D6 | qhull Q0 Tv */
-
-  zinc_(Zfindbest);
-  if (qh IStracing >= 3 || (qh TRACElevel && qh TRACEpoint >= 0 && qh TRACEpoint == qh_pointid(point))) {
-    if (qh TRACElevel > qh IStracing)
-      qh IStracing= qh TRACElevel;
-    qh_fprintf(qh ferr, 8004, "qh_findbest: point p%d starting at f%d isnewfacets? %d, unless %d exit if > %2.2g\n",
-             qh_pointid(point), startfacet->id, isnewfacets, bestoutside, qh MINoutside);
-    qh_fprintf(qh ferr, 8005, "  testhorizon? %d noupper? %d", testhorizon, noupper);
-    qh_fprintf(qh ferr, 8006, "  Last point added was p%d.", qh furthest_id);
-    qh_fprintf(qh ferr, 8007, "  Last merge was #%d.  max_outside %2.2g\n", zzval_(Ztotmerge), qh max_outside);
-  }
-  if (isoutside)
-    *isoutside= True;
-  if (!startfacet->flipped) {  /* test startfacet */
-    *numpart= 1;
-    qh_distplane(point, startfacet, dist);  /* this code is duplicated below */
-    if (!bestoutside && *dist >= qh MINoutside
-    && (!startfacet->upperdelaunay || !noupper)) {
-      bestfacet= startfacet;
-      goto LABELreturn_best;
-    }
-    bestdist= *dist;
-    if (!startfacet->upperdelaunay) {
-      bestfacet= startfacet;
-    }
-  }else
-    *numpart= 0;
-  startfacet->visitid= visitid;
-  facet= startfacet;
-  while (facet) {
-    trace4((qh ferr, 4001, "qh_findbest: neighbors of f%d, bestdist %2.2g f%d\n",
-                facet->id, bestdist, getid_(bestfacet)));
-    lastfacet= facet;
-    FOREACHneighbor_(facet) {
-      if (!neighbor->newfacet && isnewfacets)
-        continue;
-      if (neighbor->visitid == visitid)
-        continue;
-      neighbor->visitid= visitid;
-      if (!neighbor->flipped) {  /* code duplicated above */
-        (*numpart)++;
-        qh_distplane(point, neighbor, dist);
-        if (*dist > bestdist) {
-          if (!bestoutside && *dist >= qh MINoutside
-          && (!neighbor->upperdelaunay || !noupper)) {
-            bestfacet= neighbor;
-            goto LABELreturn_best;
-          }
-          if (!neighbor->upperdelaunay) {
-            bestfacet= neighbor;
-            bestdist= *dist;
-            break; /* switch to neighbor */
-          }else if (!bestfacet) {
-            bestdist= *dist;
-            break; /* switch to neighbor */
-          }
-        } /* end of *dist>bestdist */
-      } /* end of !flipped */
-    } /* end of FOREACHneighbor */
-    facet= neighbor;  /* non-NULL only if *dist>bestdist */
-  } /* end of while facet (directed search) */
-  if (isnewfacets) {
-    if (!bestfacet) {
-      bestdist= -REALmax/2;
-      bestfacet= qh_findbestnew(point, startfacet->next, &bestdist, bestoutside, isoutside, &numpartnew);
-      testhorizon= False; /* qh_findbestnew calls qh_findbesthorizon */
-    }else if (!qh findbest_notsharp && bestdist < - qh DISTround) {
-      if (qh_sharpnewfacets()) {
-        /* seldom used, qh_findbestnew will retest all facets */
-        zinc_(Zfindnewsharp);
-        bestfacet= qh_findbestnew(point, bestfacet, &bestdist, bestoutside, isoutside, &numpartnew);
-        testhorizon= False; /* qh_findbestnew calls qh_findbesthorizon */
-        qh findbestnew= True;
-      }else
-        qh findbest_notsharp= True;
-    }
-  }
-  if (!bestfacet)
-    bestfacet= qh_findbestlower(lastfacet, point, &bestdist, numpart);
-  if (testhorizon)
-    bestfacet= qh_findbesthorizon(!qh_IScheckmax, point, bestfacet, noupper, &bestdist, &numpartnew);
-  *dist= bestdist;
-  if (isoutside && bestdist < qh MINoutside)
-    *isoutside= False;
-LABELreturn_best:
-  zadd_(Zfindbesttot, *numpart);
-  zmax_(Zfindbestmax, *numpart);
-  (*numpart) += numpartnew;
-  qh IStracing= oldtrace;
-  return bestfacet;
-}  /* findbest */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="findbesthorizon">-</a>
-
-  qh_findbesthorizon( qh_IScheckmax, point, startfacet, qh_NOupper, &bestdist, &numpart )
-    search coplanar and better horizon facets from startfacet/bestdist
-    ischeckmax turns off statistics and minsearch update
-    all arguments must be initialized
-  returns(ischeckmax):
-    best facet
-  returns(!ischeckmax):
-    best facet that is not upperdelaunay
-    allows upperdelaunay that is clearly outside
-  returns:
-    bestdist is distance to bestfacet
-    numpart -- updates number of distance tests
-
-  notes:
-    no early out -- use qh_findbest() or qh_findbestnew()
-    Searches coplanar or better horizon facets
-
-  when called by qh_check_maxout() (qh_IScheckmax)
-    startfacet must be closest to the point
-      Otherwise, if point is beyond and below startfacet, startfacet may be a local minimum
-      even though other facets are below the point.
-    updates facet->maxoutside for good, visited facets
-    may return NULL
-
-    searchdist is qh.max_outside + 2 * DISTround
-      + max( MINvisible('Vn'), MAXcoplanar('Un'));
-    This setting is a guess.  It must be at least max_outside + 2*DISTround
-    because a facet may have a geometric neighbor across a vertex
-
-  design:
-    for each horizon facet of coplanar best facets
-      continue if clearly inside
-      unless upperdelaunay or clearly outside
-         update best facet
-*/
-facetT *qh_findbesthorizon(boolT ischeckmax, pointT* point, facetT *startfacet, boolT noupper, realT *bestdist, int *numpart) {
-  facetT *bestfacet= startfacet;
-  realT dist;
-  facetT *neighbor, **neighborp, *facet;
-  facetT *nextfacet= NULL; /* optimize last facet of coplanarfacetset */
-  int numpartinit= *numpart, coplanarfacetset_size;
-  unsigned int visitid= ++qh visit_id;
-  boolT newbest= False; /* for tracing */
-  realT minsearch, searchdist;  /* skip facets that are too far from point */
-
-  if (!ischeckmax) {
-    zinc_(Zfindhorizon);
-  }else {
-#if qh_MAXoutside
-    if ((!qh ONLYgood || startfacet->good) && *bestdist > startfacet->maxoutside)
-      startfacet->maxoutside= *bestdist;
-#endif
-  }
-  searchdist= qh_SEARCHdist; /* multiple of qh.max_outside and precision constants */
-  minsearch= *bestdist - searchdist;
-  if (ischeckmax) {
-    /* Always check coplanar facets.  Needed for RBOX 1000 s Z1 G1e-13 t996564279 | QHULL Tv */
-    minimize_(minsearch, -searchdist);
-  }
-  coplanarfacetset_size= 0;
-  facet= startfacet;
-  while (True) {
-    trace4((qh ferr, 4002, "qh_findbesthorizon: neighbors of f%d bestdist %2.2g f%d ischeckmax? %d noupper? %d minsearch %2.2g searchdist %2.2g\n",
-                facet->id, *bestdist, getid_(bestfacet), ischeckmax, noupper,
-                minsearch, searchdist));
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid == visitid)
-        continue;
-      neighbor->visitid= visitid;
-      if (!neighbor->flipped) {
-        qh_distplane(point, neighbor, &dist);
-        (*numpart)++;
-        if (dist > *bestdist) {
-          if (!neighbor->upperdelaunay || ischeckmax || (!noupper && dist >= qh MINoutside)) {
-            bestfacet= neighbor;
-            *bestdist= dist;
-            newbest= True;
-            if (!ischeckmax) {
-              minsearch= dist - searchdist;
-              if (dist > *bestdist + searchdist) {
-                zinc_(Zfindjump);  /* everything in qh.coplanarfacetset at least searchdist below */
-                coplanarfacetset_size= 0;
-              }
-            }
-          }
-        }else if (dist < minsearch)
-          continue;  /* if ischeckmax, dist can't be positive */
-#if qh_MAXoutside
-        if (ischeckmax && dist > neighbor->maxoutside)
-          neighbor->maxoutside= dist;
-#endif
-      } /* end of !flipped */
-      if (nextfacet) {
-        if (!coplanarfacetset_size++) {
-          SETfirst_(qh coplanarfacetset)= nextfacet;
-          SETtruncate_(qh coplanarfacetset, 1);
-        }else
-          qh_setappend(&qh coplanarfacetset, nextfacet); /* Was needed for RBOX 1000 s W1e-13 P0 t996547055 | QHULL d Qbb Qc Tv
-                                                 and RBOX 1000 s Z1 G1e-13 t996564279 | qhull Tv  */
-      }
-      nextfacet= neighbor;
-    } /* end of EACHneighbor */
-    facet= nextfacet;
-    if (facet)
-      nextfacet= NULL;
-    else if (!coplanarfacetset_size)
-      break;
-    else if (!--coplanarfacetset_size) {
-      facet= SETfirstt_(qh coplanarfacetset, facetT);
-      SETtruncate_(qh coplanarfacetset, 0);
-    }else
-      facet= (facetT*)qh_setdellast(qh coplanarfacetset);
-  } /* while True, for each facet in qh.coplanarfacetset */
-  if (!ischeckmax) {
-    zadd_(Zfindhorizontot, *numpart - numpartinit);
-    zmax_(Zfindhorizonmax, *numpart - numpartinit);
-    if (newbest)
-      zinc_(Zparthorizon);
-  }
-  trace4((qh ferr, 4003, "qh_findbesthorizon: newbest? %d bestfacet f%d bestdist %2.2g\n", newbest, getid_(bestfacet), *bestdist));
-  return bestfacet;
-}  /* findbesthorizon */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="findbestnew">-</a>
-
-  qh_findbestnew( point, startfacet, dist, isoutside, numpart )
-    find best newfacet for point
-    searches all of qh.newfacet_list starting at startfacet
-    searches horizon facets of coplanar best newfacets
-    searches all facets if startfacet == qh.facet_list
-  returns:
-    best new or horizon facet that is not upperdelaunay
-    early out if isoutside and not 'Qf'
-    dist is distance to facet
-    isoutside is true if point is outside of facet
-    numpart is number of distance tests
-
-  notes:
-    Always used for merged new facets (see qh_USEfindbestnew)
-    Avoids upperdelaunay facet unless (isoutside and outside)
-
-    Uses qh.visit_id, qh.coplanarfacetset.
-    If share visit_id with qh_findbest, coplanarfacetset is incorrect.
-
-    If merging (testhorizon), searches horizon facets of coplanar best facets because
-    a point maybe coplanar to the bestfacet, below its horizon facet,
-    and above a horizon facet of a coplanar newfacet.  For example,
-      rbox 1000 s Z1 G1e-13 | qhull
-      rbox 1000 s W1e-13 P0 t992110337 | QHULL d Qbb Qc
-
-    qh_findbestnew() used if
-       qh_sharpnewfacets -- newfacets contains a sharp angle
-       if many merges, qh_premerge found a merge, or 'Qf' (qh.findbestnew)
-
-  see also:
-    qh_partitionall() and qh_findbest()
-
-  design:
-    for each new facet starting from startfacet
-      test distance from point to facet
-      return facet if clearly outside
-      unless upperdelaunay and a lowerdelaunay exists
-         update best facet
-    test horizon facets
-*/
-facetT *qh_findbestnew(pointT *point, facetT *startfacet,
-           realT *dist, boolT bestoutside, boolT *isoutside, int *numpart) {
-  realT bestdist= -REALmax/2;
-  facetT *bestfacet= NULL, *facet;
-  int oldtrace= qh IStracing, i;
-  unsigned int visitid= ++qh visit_id;
-  realT distoutside= 0.0;
-  boolT isdistoutside; /* True if distoutside is defined */
-  boolT testhorizon = True; /* needed if precise, e.g., rbox c D6 | qhull Q0 Tv */
-
-  if (!startfacet) {
-    if (qh MERGING)
-      qh_fprintf(qh ferr, 6001, "qhull precision error (qh_findbestnew): merging has formed and deleted a cone of new facets.  Can not continue.\n");
-    else
-      qh_fprintf(qh ferr, 6002, "qhull internal error (qh_findbestnew): no new facets for point p%d\n",
-              qh furthest_id);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  zinc_(Zfindnew);
-  if (qh BESToutside || bestoutside)
-    isdistoutside= False;
-  else {
-    isdistoutside= True;
-    distoutside= qh_DISToutside; /* multiple of qh.MINoutside & qh.max_outside, see user.h */
-  }
-  if (isoutside)
-    *isoutside= True;
-  *numpart= 0;
-  if (qh IStracing >= 3 || (qh TRACElevel && qh TRACEpoint >= 0 && qh TRACEpoint == qh_pointid(point))) {
-    if (qh TRACElevel > qh IStracing)
-      qh IStracing= qh TRACElevel;
-    qh_fprintf(qh ferr, 8008, "qh_findbestnew: point p%d facet f%d. Stop? %d if dist > %2.2g\n",
-             qh_pointid(point), startfacet->id, isdistoutside, distoutside);
-    qh_fprintf(qh ferr, 8009, "  Last point added p%d visitid %d.",  qh furthest_id, visitid);
-    qh_fprintf(qh ferr, 8010, "  Last merge was #%d.\n", zzval_(Ztotmerge));
-  }
-  /* visit all new facets starting with startfacet, maybe qh facet_list */
-  for (i=0, facet=startfacet; i < 2; i++, facet= qh newfacet_list) {
-    FORALLfacet_(facet) {
-      if (facet == startfacet && i)
-        break;
-      facet->visitid= visitid;
-      if (!facet->flipped) {
-        qh_distplane(point, facet, dist);
-        (*numpart)++;
-        if (*dist > bestdist) {
-          if (!facet->upperdelaunay || *dist >= qh MINoutside) {
-            bestfacet= facet;
-            if (isdistoutside && *dist >= distoutside)
-              goto LABELreturn_bestnew;
-            bestdist= *dist;
-          }
-        }
-      } /* end of !flipped */
-    } /* FORALLfacet from startfacet or qh newfacet_list */
-  }
-  if (testhorizon || !bestfacet)
-    bestfacet= qh_findbesthorizon(!qh_IScheckmax, point, bestfacet ? bestfacet : startfacet,
-                                        !qh_NOupper, &bestdist, numpart);
-  *dist= bestdist;
-  if (isoutside && *dist < qh MINoutside)
-    *isoutside= False;
-LABELreturn_bestnew:
-  zadd_(Zfindnewtot, *numpart);
-  zmax_(Zfindnewmax, *numpart);
-  trace4((qh ferr, 4004, "qh_findbestnew: bestfacet f%d bestdist %2.2g\n", getid_(bestfacet), *dist));
-  qh IStracing= oldtrace;
-  return bestfacet;
-}  /* findbestnew */
-
-/* ============ hyperplane functions -- keep code together [?] ============ */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="backnormal">-</a>
-
-  qh_backnormal( rows, numrow, numcol, sign, normal, nearzero )
-    given an upper-triangular rows array and a sign,
-    solve for normal equation x using back substitution over rows U
-
-  returns:
-     normal= x
-
-     if will not be able to divzero() when normalized(qh.MINdenom_2 and qh.MINdenom_1_2),
-       if fails on last row
-         this means that the hyperplane intersects [0,..,1]
-         sets last coordinate of normal to sign
-       otherwise
-         sets tail of normal to [...,sign,0,...], i.e., solves for b= [0...0]
-         sets nearzero
-
-  notes:
-     assumes numrow == numcol-1
-
-     see Golub & van Loan 4.4-9 for back substitution
-
-     solves Ux=b where Ax=b and PA=LU
-     b= [0,...,0,sign or 0]  (sign is either -1 or +1)
-     last row of A= [0,...,0,1]
-
-     1) Ly=Pb == y=b since P only permutes the 0's of   b
-
-  design:
-    for each row from end
-      perform back substitution
-      if near zero
-        use qh_divzero for division
-        if zero divide and not last row
-          set tail of normal to 0
-*/
-void qh_backnormal(realT **rows, int numrow, int numcol, boolT sign,
-        coordT *normal, boolT *nearzero) {
-  int i, j;
-  coordT *normalp, *normal_tail, *ai, *ak;
-  realT diagonal;
-  boolT waszero;
-  int zerocol= -1;
-
-  normalp= normal + numcol - 1;
-  *normalp--= (sign ? -1.0 : 1.0);
-  for (i=numrow; i--; ) {
-    *normalp= 0.0;
-    ai= rows[i] + i + 1;
-    ak= normalp+1;
-    for (j=i+1; j < numcol; j++)
-      *normalp -= *ai++ * *ak++;
-    diagonal= (rows[i])[i];
-    if (fabs_(diagonal) > qh MINdenom_2)
-      *(normalp--) /= diagonal;
-    else {
-      waszero= False;
-      *normalp= qh_divzero(*normalp, diagonal, qh MINdenom_1_2, &waszero);
-      if (waszero) {
-        zerocol= i;
-        *(normalp--)= (sign ? -1.0 : 1.0);
-        for (normal_tail= normalp+2; normal_tail < normal + numcol; normal_tail++)
-          *normal_tail= 0.0;
-      }else
-        normalp--;
-    }
-  }
-  if (zerocol != -1) {
-    zzinc_(Zback0);
-    *nearzero= True;
-    trace4((qh ferr, 4005, "qh_backnormal: zero diagonal at column %d.\n", i));
-    qh_precision("zero diagonal on back substitution");
-  }
-} /* backnormal */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="gausselim">-</a>
-
-  qh_gausselim( rows, numrow, numcol, sign )
-    Gaussian elimination with partial pivoting
-
-  returns:
-    rows is upper triangular (includes row exchanges)
-    flips sign for each row exchange
-    sets nearzero if pivot[k] < qh.NEARzero[k], else clears it
-
-  notes:
-    if nearzero, the determinant's sign may be incorrect.
-    assumes numrow <= numcol
-
-  design:
-    for each row
-      determine pivot and exchange rows if necessary
-      test for near zero
-      perform gaussian elimination step
-*/
-void qh_gausselim(realT **rows, int numrow, int numcol, boolT *sign, boolT *nearzero) {
-  realT *ai, *ak, *rowp, *pivotrow;
-  realT n, pivot, pivot_abs= 0.0, temp;
-  int i, j, k, pivoti, flip=0;
-
-  *nearzero= False;
-  for (k=0; k < numrow; k++) {
-    pivot_abs= fabs_((rows[k])[k]);
-    pivoti= k;
-    for (i=k+1; i < numrow; i++) {
-      if ((temp= fabs_((rows[i])[k])) > pivot_abs) {
-        pivot_abs= temp;
-        pivoti= i;
-      }
-    }
-    if (pivoti != k) {
-      rowp= rows[pivoti];
-      rows[pivoti]= rows[k];
-      rows[k]= rowp;
-      *sign ^= 1;
-      flip ^= 1;
-    }
-    if (pivot_abs <= qh NEARzero[k]) {
-      *nearzero= True;
-      if (pivot_abs == 0.0) {   /* remainder of column == 0 */
-        if (qh IStracing >= 4) {
-          qh_fprintf(qh ferr, 8011, "qh_gausselim: 0 pivot at column %d. (%2.2g < %2.2g)\n", k, pivot_abs, qh DISTround);
-          qh_printmatrix(qh ferr, "Matrix:", rows, numrow, numcol);
-        }
-        zzinc_(Zgauss0);
-        qh_precision("zero pivot for Gaussian elimination");
-        goto LABELnextcol;
-      }
-    }
-    pivotrow= rows[k] + k;
-    pivot= *pivotrow++;  /* signed value of pivot, and remainder of row */
-    for (i=k+1; i < numrow; i++) {
-      ai= rows[i] + k;
-      ak= pivotrow;
-      n= (*ai++)/pivot;   /* divzero() not needed since |pivot| >= |*ai| */
-      for (j= numcol - (k+1); j--; )
-        *ai++ -= n * *ak++;
-    }
-  LABELnextcol:
-    ;
-  }
-  wmin_(Wmindenom, pivot_abs);  /* last pivot element */
-  if (qh IStracing >= 5)
-    qh_printmatrix(qh ferr, "qh_gausselem: result", rows, numrow, numcol);
-} /* gausselim */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="getangle">-</a>
-
-  qh_getangle( vect1, vect2 )
-    returns the dot product of two vectors
-    if qh.RANDOMdist, joggles result
-
-  notes:
-    the angle may be > 1.0 or < -1.0 because of roundoff errors
-
-*/
-realT qh_getangle(pointT *vect1, pointT *vect2) {
-  realT angle= 0, randr;
-  int k;
-
-  for (k=qh hull_dim; k--; )
-    angle += *vect1++ * *vect2++;
-  if (qh RANDOMdist) {
-    randr= qh_RANDOMint;
-    angle += (2.0 * randr / qh_RANDOMmax - 1.0) *
-      qh RANDOMfactor;
-  }
-  trace4((qh ferr, 4006, "qh_getangle: %2.2g\n", angle));
-  return(angle);
-} /* getangle */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="getcenter">-</a>
-
-  qh_getcenter( vertices )
-    returns arithmetic center of a set of vertices as a new point
-
-  notes:
-    allocates point array for center
-*/
-pointT *qh_getcenter(setT *vertices) {
-  int k;
-  pointT *center, *coord;
-  vertexT *vertex, **vertexp;
-  int count= qh_setsize(vertices);
-
-  if (count < 2) {
-    qh_fprintf(qh ferr, 6003, "qhull internal error (qh_getcenter): not defined for %d points\n", count);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  center= (pointT *)qh_memalloc(qh normal_size);
-  for (k=0; k < qh hull_dim; k++) {
-    coord= center+k;
-    *coord= 0.0;
-    FOREACHvertex_(vertices)
-      *coord += vertex->point[k];
-    *coord /= count;
-  }
-  return(center);
-} /* getcenter */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="getcentrum">-</a>
-
-  qh_getcentrum( facet )
-    returns the centrum for a facet as a new point
-
-  notes:
-    allocates the centrum
-*/
-pointT *qh_getcentrum(facetT *facet) {
-  realT dist;
-  pointT *centrum, *point;
-
-  point= qh_getcenter(facet->vertices);
-  zzinc_(Zcentrumtests);
-  qh_distplane(point, facet, &dist);
-  centrum= qh_projectpoint(point, facet, dist);
-  qh_memfree(point, qh normal_size);
-  trace4((qh ferr, 4007, "qh_getcentrum: for f%d, %d vertices dist= %2.2g\n",
-          facet->id, qh_setsize(facet->vertices), dist));
-  return centrum;
-} /* getcentrum */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="getdistance">-</a>
-
-  qh_getdistance( facet, neighbor, mindist, maxdist )
-    returns the maxdist and mindist distance of any vertex from neighbor
-
-  returns:
-    the max absolute value
-
-  design:
-    for each vertex of facet that is not in neighbor
-      test the distance from vertex to neighbor
-*/
-realT qh_getdistance(facetT *facet, facetT *neighbor, realT *mindist, realT *maxdist) {
-  vertexT *vertex, **vertexp;
-  realT dist, maxd, mind;
-
-  FOREACHvertex_(facet->vertices)
-    vertex->seen= False;
-  FOREACHvertex_(neighbor->vertices)
-    vertex->seen= True;
-  mind= 0.0;
-  maxd= 0.0;
-  FOREACHvertex_(facet->vertices) {
-    if (!vertex->seen) {
-      zzinc_(Zbestdist);
-      qh_distplane(vertex->point, neighbor, &dist);
-      if (dist < mind)
-        mind= dist;
-      else if (dist > maxd)
-        maxd= dist;
-    }
-  }
-  *mindist= mind;
-  *maxdist= maxd;
-  mind= -mind;
-  if (maxd > mind)
-    return maxd;
-  else
-    return mind;
-} /* getdistance */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="normalize">-</a>
-
-  qh_normalize( normal, dim, toporient )
-    normalize a vector and report if too small
-    does not use min norm
-
-  see:
-    qh_normalize2
-*/
-void qh_normalize(coordT *normal, int dim, boolT toporient) {
-  qh_normalize2( normal, dim, toporient, NULL, NULL);
-} /* normalize */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="normalize2">-</a>
-
-  qh_normalize2( normal, dim, toporient, minnorm, ismin )
-    normalize a vector and report if too small
-    qh.MINdenom/MINdenom1 are the upper limits for divide overflow
-
-  returns:
-    normalized vector
-    flips sign if !toporient
-    if minnorm non-NULL,
-      sets ismin if normal < minnorm
-
-  notes:
-    if zero norm
-       sets all elements to sqrt(1.0/dim)
-    if divide by zero (divzero())
-       sets largest element to   +/-1
-       bumps Znearlysingular
-
-  design:
-    computes norm
-    test for minnorm
-    if not near zero
-      normalizes normal
-    else if zero norm
-      sets normal to standard value
-    else
-      uses qh_divzero to normalize
-      if nearzero
-        sets norm to direction of maximum value
-*/
-void qh_normalize2 (coordT *normal, int dim, boolT toporient,
-            realT *minnorm, boolT *ismin) {
-  int k;
-  realT *colp, *maxp, norm= 0, temp, *norm1, *norm2, *norm3;
-  boolT zerodiv;
-
-  norm1= normal+1;
-  norm2= normal+2;
-  norm3= normal+3;
-  if (dim == 2)
-    norm= sqrt((*normal)*(*normal) + (*norm1)*(*norm1));
-  else if (dim == 3)
-    norm= sqrt((*normal)*(*normal) + (*norm1)*(*norm1) + (*norm2)*(*norm2));
-  else if (dim == 4) {
-    norm= sqrt((*normal)*(*normal) + (*norm1)*(*norm1) + (*norm2)*(*norm2)
-               + (*norm3)*(*norm3));
-  }else if (dim > 4) {
-    norm= (*normal)*(*normal) + (*norm1)*(*norm1) + (*norm2)*(*norm2)
-               + (*norm3)*(*norm3);
-    for (k=dim-4, colp=normal+4; k--; colp++)
-      norm += (*colp) * (*colp);
-    norm= sqrt(norm);
-  }
-  if (minnorm) {
-    if (norm < *minnorm)
-      *ismin= True;
-    else
-      *ismin= False;
-  }
-  wmin_(Wmindenom, norm);
-  if (norm > qh MINdenom) {
-    if (!toporient)
-      norm= -norm;
-    *normal /= norm;
-    *norm1 /= norm;
-    if (dim == 2)
-      ; /* all done */
-    else if (dim == 3)
-      *norm2 /= norm;
-    else if (dim == 4) {
-      *norm2 /= norm;
-      *norm3 /= norm;
-    }else if (dim >4) {
-      *norm2 /= norm;
-      *norm3 /= norm;
-      for (k=dim-4, colp=normal+4; k--; )
-        *colp++ /= norm;
-    }
-  }else if (norm == 0.0) {
-    temp= sqrt(1.0/dim);
-    for (k=dim, colp=normal; k--; )
-      *colp++ = temp;
-  }else {
-    if (!toporient)
-      norm= -norm;
-    for (k=dim, colp=normal; k--; colp++) { /* k used below */
-      temp= qh_divzero(*colp, norm, qh MINdenom_1, &zerodiv);
-      if (!zerodiv)
-        *colp= temp;
-      else {
-        maxp= qh_maxabsval(normal, dim);
-        temp= ((*maxp * norm >= 0.0) ? 1.0 : -1.0);
-        for (k=dim, colp=normal; k--; colp++)
-          *colp= 0.0;
-        *maxp= temp;
-        zzinc_(Znearlysingular);
-        trace0((qh ferr, 1, "qh_normalize: norm=%2.2g too small during p%d\n",
-               norm, qh furthest_id));
-        return;
-      }
-    }
-  }
-} /* normalize */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="projectpoint">-</a>
-
-  qh_projectpoint( point, facet, dist )
-    project point onto a facet by dist
-
-  returns:
-    returns a new point
-
-  notes:
-    if dist= distplane(point,facet)
-      this projects point to hyperplane
-    assumes qh_memfree_() is valid for normal_size
-*/
-pointT *qh_projectpoint(pointT *point, facetT *facet, realT dist) {
-  pointT *newpoint, *np, *normal;
-  int normsize= qh normal_size;
-  int k;
-  void **freelistp; /* used !qh_NOmem */
-
-  qh_memalloc_(normsize, freelistp, newpoint, pointT);
-  np= newpoint;
-  normal= facet->normal;
-  for (k=qh hull_dim; k--; )
-    *(np++)= *point++ - dist * *normal++;
-  return(newpoint);
-} /* projectpoint */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="setfacetplane">-</a>
-
-  qh_setfacetplane( facet )
-    sets the hyperplane for a facet
-    if qh.RANDOMdist, joggles hyperplane
-
-  notes:
-    uses global buffers qh.gm_matrix and qh.gm_row
-    overwrites facet->normal if already defined
-    updates Wnewvertex if PRINTstatistics
-    sets facet->upperdelaunay if upper envelope of Delaunay triangulation
-
-  design:
-    copy vertex coordinates to qh.gm_matrix/gm_row
-    compute determinate
-    if nearzero
-      recompute determinate with gaussian elimination
-      if nearzero
-        force outside orientation by testing interior point
-*/
-void qh_setfacetplane(facetT *facet) {
-  pointT *point;
-  vertexT *vertex, **vertexp;
-  int normsize= qh normal_size;
-  int k,i, oldtrace= 0;
-  realT dist;
-  void **freelistp; /* used !qh_NOmem */
-  coordT *coord, *gmcoord;
-  pointT *point0= SETfirstt_(facet->vertices, vertexT)->point;
-  boolT nearzero= False;
-
-  zzinc_(Zsetplane);
-  if (!facet->normal)
-    qh_memalloc_(normsize, freelistp, facet->normal, coordT);
-  if (facet == qh tracefacet) {
-    oldtrace= qh IStracing;
-    qh IStracing= 5;
-    qh_fprintf(qh ferr, 8012, "qh_setfacetplane: facet f%d created.\n", facet->id);
-    qh_fprintf(qh ferr, 8013, "  Last point added to hull was p%d.", qh furthest_id);
-    if (zzval_(Ztotmerge))
-      qh_fprintf(qh ferr, 8014, "  Last merge was #%d.", zzval_(Ztotmerge));
-    qh_fprintf(qh ferr, 8015, "\n\nCurrent summary is:\n");
-      qh_printsummary(qh ferr);
-  }
-  if (qh hull_dim <= 4) {
-    i= 0;
-    if (qh RANDOMdist) {
-      gmcoord= qh gm_matrix;
-      FOREACHvertex_(facet->vertices) {
-        qh gm_row[i++]= gmcoord;
-        coord= vertex->point;
-        for (k=qh hull_dim; k--; )
-          *(gmcoord++)= *coord++ * qh_randomfactor(qh RANDOMa, qh RANDOMb);
-      }
-    }else {
-      FOREACHvertex_(facet->vertices)
-       qh gm_row[i++]= vertex->point;
-    }
-    qh_sethyperplane_det(qh hull_dim, qh gm_row, point0, facet->toporient,
-                facet->normal, &facet->offset, &nearzero);
-  }
-  if (qh hull_dim > 4 || nearzero) {
-    i= 0;
-    gmcoord= qh gm_matrix;
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->point != point0) {
-        qh gm_row[i++]= gmcoord;
-        coord= vertex->point;
-        point= point0;
-        for (k=qh hull_dim; k--; )
-          *(gmcoord++)= *coord++ - *point++;
-      }
-    }
-    qh gm_row[i]= gmcoord;  /* for areasimplex */
-    if (qh RANDOMdist) {
-      gmcoord= qh gm_matrix;
-      for (i=qh hull_dim-1; i--; ) {
-        for (k=qh hull_dim; k--; )
-          *(gmcoord++) *= qh_randomfactor(qh RANDOMa, qh RANDOMb);
-      }
-    }
-    qh_sethyperplane_gauss(qh hull_dim, qh gm_row, point0, facet->toporient,
-                facet->normal, &facet->offset, &nearzero);
-    if (nearzero) {
-      if (qh_orientoutside(facet)) {
-        trace0((qh ferr, 2, "qh_setfacetplane: flipped orientation after testing interior_point during p%d\n", qh furthest_id));
-      /* this is part of using Gaussian Elimination.  For example in 5-d
-           1 1 1 1 0
-           1 1 1 1 1
-           0 0 0 1 0
-           0 1 0 0 0
-           1 0 0 0 0
-           norm= 0.38 0.38 -0.76 0.38 0
-         has a determinate of 1, but g.e. after subtracting pt. 0 has
-         0's in the diagonal, even with full pivoting.  It does work
-         if you subtract pt. 4 instead. */
-      }
-    }
-  }
-  facet->upperdelaunay= False;
-  if (qh DELAUNAY) {
-    if (qh UPPERdelaunay) {     /* matches qh_triangulate_facet and qh.lower_threshold in qh_initbuild */
-      if (facet->normal[qh hull_dim -1] >= qh ANGLEround * qh_ZEROdelaunay)
-        facet->upperdelaunay= True;
-    }else {
-      if (facet->normal[qh hull_dim -1] > -qh ANGLEround * qh_ZEROdelaunay)
-        facet->upperdelaunay= True;
-    }
-  }
-  if (qh PRINTstatistics || qh IStracing || qh TRACElevel || qh JOGGLEmax < REALmax) {
-    qh old_randomdist= qh RANDOMdist;
-    qh RANDOMdist= False;
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->point != point0) {
-        boolT istrace= False;
-        zinc_(Zdiststat);
-        qh_distplane(vertex->point, facet, &dist);
-        dist= fabs_(dist);
-        zinc_(Znewvertex);
-        wadd_(Wnewvertex, dist);
-        if (dist > wwval_(Wnewvertexmax)) {
-          wwval_(Wnewvertexmax)= dist;
-          if (dist > qh max_outside) {
-            qh max_outside= dist;  /* used by qh_maxouter() */
-            if (dist > qh TRACEdist)
-              istrace= True;
-          }
-        }else if (-dist > qh TRACEdist)
-          istrace= True;
-        if (istrace) {
-          qh_fprintf(qh ferr, 8016, "qh_setfacetplane: ====== vertex p%d(v%d) increases max_outside to %2.2g for new facet f%d last p%d\n",
-                qh_pointid(vertex->point), vertex->id, dist, facet->id, qh furthest_id);
-          qh_errprint("DISTANT", facet, NULL, NULL, NULL);
-        }
-      }
-    }
-    qh RANDOMdist= qh old_randomdist;
-  }
-  if (qh IStracing >= 3) {
-    qh_fprintf(qh ferr, 8017, "qh_setfacetplane: f%d offset %2.2g normal: ",
-             facet->id, facet->offset);
-    for (k=0; k < qh hull_dim; k++)
-      qh_fprintf(qh ferr, 8018, "%2.2g ", facet->normal[k]);
-    qh_fprintf(qh ferr, 8019, "\n");
-  }
-  if (facet == qh tracefacet)
-    qh IStracing= oldtrace;
-} /* setfacetplane */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="sethyperplane_det">-</a>
-
-  qh_sethyperplane_det( dim, rows, point0, toporient, normal, offset, nearzero )
-    given dim X dim array indexed by rows[], one row per point,
-        toporient(flips all signs),
-        and point0 (any row)
-    set normalized hyperplane equation from oriented simplex
-
-  returns:
-    normal (normalized)
-    offset (places point0 on the hyperplane)
-    sets nearzero if hyperplane not through points
-
-  notes:
-    only defined for dim == 2..4
-    rows[] is not modified
-    solves det(P-V_0, V_n-V_0, ..., V_1-V_0)=0, i.e. every point is on hyperplane
-    see Bower & Woodworth, A programmer's geometry, Butterworths 1983.
-
-  derivation of 3-d minnorm
-    Goal: all vertices V_i within qh.one_merge of hyperplane
-    Plan: exactly translate the facet so that V_0 is the origin
-          exactly rotate the facet so that V_1 is on the x-axis and y_2=0.
-          exactly rotate the effective perturbation to only effect n_0
-             this introduces a factor of sqrt(3)
-    n_0 = ((y_2-y_0)*(z_1-z_0) - (z_2-z_0)*(y_1-y_0)) / norm
-    Let M_d be the max coordinate difference
-    Let M_a be the greater of M_d and the max abs. coordinate
-    Let u be machine roundoff and distround be max error for distance computation
-    The max error for n_0 is sqrt(3) u M_a M_d / norm.  n_1 is approx. 1 and n_2 is approx. 0
-    The max error for distance of V_1 is sqrt(3) u M_a M_d M_d / norm.  Offset=0 at origin
-    Then minnorm = 1.8 u M_a M_d M_d / qh.ONEmerge
-    Note that qh.one_merge is approx. 45.5 u M_a and norm is usually about M_d M_d
-
-  derivation of 4-d minnorm
-    same as above except rotate the facet so that V_1 on x-axis and w_2, y_3, w_3=0
-     [if two vertices fixed on x-axis, can rotate the other two in yzw.]
-    n_0 = det3_(...) = y_2 det2_(z_1, w_1, z_3, w_3) = - y_2 w_1 z_3
-     [all other terms contain at least two factors nearly zero.]
-    The max error for n_0 is sqrt(4) u M_a M_d M_d / norm
-    Then minnorm = 2 u M_a M_d M_d M_d / qh.ONEmerge
-    Note that qh.one_merge is approx. 82 u M_a and norm is usually about M_d M_d M_d
-*/
-void qh_sethyperplane_det(int dim, coordT **rows, coordT *point0,
-          boolT toporient, coordT *normal, realT *offset, boolT *nearzero) {
-  realT maxround, dist;
-  int i;
-  pointT *point;
-
-
-  if (dim == 2) {
-    normal[0]= dY(1,0);
-    normal[1]= dX(0,1);
-    qh_normalize2 (normal, dim, toporient, NULL, NULL);
-    *offset= -(point0[0]*normal[0]+point0[1]*normal[1]);
-    *nearzero= False;  /* since nearzero norm => incident points */
-  }else if (dim == 3) {
-    normal[0]= det2_(dY(2,0), dZ(2,0),
-                     dY(1,0), dZ(1,0));
-    normal[1]= det2_(dX(1,0), dZ(1,0),
-                     dX(2,0), dZ(2,0));
-    normal[2]= det2_(dX(2,0), dY(2,0),
-                     dX(1,0), dY(1,0));
-    qh_normalize2 (normal, dim, toporient, NULL, NULL);
-    *offset= -(point0[0]*normal[0] + point0[1]*normal[1]
-               + point0[2]*normal[2]);
-    maxround= qh DISTround;
-    for (i=dim; i--; ) {
-      point= rows[i];
-      if (point != point0) {
-        dist= *offset + (point[0]*normal[0] + point[1]*normal[1]
-               + point[2]*normal[2]);
-        if (dist > maxround || dist < -maxround) {
-          *nearzero= True;
-          break;
-        }
-      }
-    }
-  }else if (dim == 4) {
-    normal[0]= - det3_(dY(2,0), dZ(2,0), dW(2,0),
-                        dY(1,0), dZ(1,0), dW(1,0),
-                        dY(3,0), dZ(3,0), dW(3,0));
-    normal[1]=   det3_(dX(2,0), dZ(2,0), dW(2,0),
-                        dX(1,0), dZ(1,0), dW(1,0),
-                        dX(3,0), dZ(3,0), dW(3,0));
-    normal[2]= - det3_(dX(2,0), dY(2,0), dW(2,0),
-                        dX(1,0), dY(1,0), dW(1,0),
-                        dX(3,0), dY(3,0), dW(3,0));
-    normal[3]=   det3_(dX(2,0), dY(2,0), dZ(2,0),
-                        dX(1,0), dY(1,0), dZ(1,0),
-                        dX(3,0), dY(3,0), dZ(3,0));
-    qh_normalize2 (normal, dim, toporient, NULL, NULL);
-    *offset= -(point0[0]*normal[0] + point0[1]*normal[1]
-               + point0[2]*normal[2] + point0[3]*normal[3]);
-    maxround= qh DISTround;
-    for (i=dim; i--; ) {
-      point= rows[i];
-      if (point != point0) {
-        dist= *offset + (point[0]*normal[0] + point[1]*normal[1]
-               + point[2]*normal[2] + point[3]*normal[3]);
-        if (dist > maxround || dist < -maxround) {
-          *nearzero= True;
-          break;
-        }
-      }
-    }
-  }
-  if (*nearzero) {
-    zzinc_(Zminnorm);
-    trace0((qh ferr, 3, "qh_sethyperplane_det: degenerate norm during p%d.\n", qh furthest_id));
-    zzinc_(Znearlysingular);
-  }
-} /* sethyperplane_det */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="sethyperplane_gauss">-</a>
-
-  qh_sethyperplane_gauss( dim, rows, point0, toporient, normal, offset, nearzero )
-    given(dim-1) X dim array of rows[i]= V_{i+1} - V_0 (point0)
-    set normalized hyperplane equation from oriented simplex
-
-  returns:
-    normal (normalized)
-    offset (places point0 on the hyperplane)
-
-  notes:
-    if nearzero
-      orientation may be incorrect because of incorrect sign flips in gausselim
-    solves [V_n-V_0,...,V_1-V_0, 0 .. 0 1] * N == [0 .. 0 1]
-        or [V_n-V_0,...,V_1-V_0, 0 .. 0 1] * N == [0]
-    i.e., N is normal to the hyperplane, and the unnormalized
-        distance to [0 .. 1] is either 1 or   0
-
-  design:
-    perform gaussian elimination
-    flip sign for negative values
-    perform back substitution
-    normalize result
-    compute offset
-*/
-void qh_sethyperplane_gauss(int dim, coordT **rows, pointT *point0,
-                boolT toporient, coordT *normal, coordT *offset, boolT *nearzero) {
-  coordT *pointcoord, *normalcoef;
-  int k;
-  boolT sign= toporient, nearzero2= False;
-
-  qh_gausselim(rows, dim-1, dim, &sign, nearzero);
-  for (k=dim-1; k--; ) {
-    if ((rows[k])[k] < 0)
-      sign ^= 1;
-  }
-  if (*nearzero) {
-    zzinc_(Znearlysingular);
-    trace0((qh ferr, 4, "qh_sethyperplane_gauss: nearly singular or axis parallel hyperplane during p%d.\n", qh furthest_id));
-    qh_backnormal(rows, dim-1, dim, sign, normal, &nearzero2);
-  }else {
-    qh_backnormal(rows, dim-1, dim, sign, normal, &nearzero2);
-    if (nearzero2) {
-      zzinc_(Znearlysingular);
-      trace0((qh ferr, 5, "qh_sethyperplane_gauss: singular or axis parallel hyperplane at normalization during p%d.\n", qh furthest_id));
-    }
-  }
-  if (nearzero2)
-    *nearzero= True;
-  qh_normalize2(normal, dim, True, NULL, NULL);
-  pointcoord= point0;
-  normalcoef= normal;
-  *offset= -(*pointcoord++ * *normalcoef++);
-  for (k=dim-1; k--; )
-    *offset -= *pointcoord++ * *normalcoef++;
-} /* sethyperplane_gauss */
diff --git a/extern/qhull/geom.h b/extern/qhull/geom.h
deleted file mode 100644
index b1a3aeccc7c0..000000000000
--- a/extern/qhull/geom.h
+++ /dev/null
@@ -1,173 +0,0 @@
-/*<html><pre>  -<a                             href="qh-geom.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-  geom.h
-    header file for geometric routines
-
-   see qh-geom.htm and geom.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/geom.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFgeom
-#define qhDEFgeom 1
-
-#include "libqhull.h"
-
-/* ============ -macros- ======================== */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="fabs_">-</a>
-
-  fabs_(a)
-    returns the absolute value of a
-*/
-#define fabs_( a ) ((( a ) < 0 ) ? -( a ):( a ))
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="fmax_">-</a>
-
-  fmax_(a,b)
-    returns the maximum value of a and b
-*/
-#define fmax_( a,b )  ( ( a ) < ( b ) ? ( b ) : ( a ) )
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="fmin_">-</a>
-
-  fmin_(a,b)
-    returns the minimum value of a and b
-*/
-#define fmin_( a,b )  ( ( a ) > ( b ) ? ( b ) : ( a ) )
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="maximize_">-</a>
-
-  maximize_(maxval, val)
-    set maxval to val if val is greater than maxval
-*/
-#define maximize_( maxval, val ) { if (( maxval ) < ( val )) ( maxval )= ( val ); }
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="minimize_">-</a>
-
-  minimize_(minval, val)
-    set minval to val if val is less than minval
-*/
-#define minimize_( minval, val ) { if (( minval ) > ( val )) ( minval )= ( val ); }
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="det2_">-</a>
-
-  det2_(a1, a2,
-        b1, b2)
-
-    compute a 2-d determinate
-*/
-#define det2_( a1,a2,b1,b2 ) (( a1 )*( b2 ) - ( a2 )*( b1 ))
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="det3_">-</a>
-
-  det3_(a1, a2, a3,
-       b1, b2, b3,
-       c1, c2, c3)
-
-    compute a 3-d determinate
-*/
-#define det3_( a1,a2,a3,b1,b2,b3,c1,c2,c3 ) ( ( a1 )*det2_( b2,b3,c2,c3 ) \
-                - ( b1 )*det2_( a2,a3,c2,c3 ) + ( c1 )*det2_( a2,a3,b2,b3 ) )
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="dX">-</a>
-
-  dX( p1, p2 )
-  dY( p1, p2 )
-  dZ( p1, p2 )
-
-    given two indices into rows[],
-
-    compute the difference between X, Y, or Z coordinates
-*/
-#define dX( p1,p2 )  ( *( rows[p1] ) - *( rows[p2] ))
-#define dY( p1,p2 )  ( *( rows[p1]+1 ) - *( rows[p2]+1 ))
-#define dZ( p1,p2 )  ( *( rows[p1]+2 ) - *( rows[p2]+2 ))
-#define dW( p1,p2 )  ( *( rows[p1]+3 ) - *( rows[p2]+3 ))
-
-/*============= prototypes in alphabetical order, infrequent at end ======= */
-
-void    qh_backnormal(realT **rows, int numrow, int numcol, boolT sign, coordT *normal, boolT *nearzero);
-void    qh_distplane(pointT *point, facetT *facet, realT *dist);
-facetT *qh_findbest(pointT *point, facetT *startfacet,
-                     boolT bestoutside, boolT isnewfacets, boolT noupper,
-                     realT *dist, boolT *isoutside, int *numpart);
-facetT *qh_findbesthorizon(boolT ischeckmax, pointT *point,
-                     facetT *startfacet, boolT noupper, realT *bestdist, int *numpart);
-facetT *qh_findbestnew(pointT *point, facetT *startfacet, realT *dist,
-                     boolT bestoutside, boolT *isoutside, int *numpart);
-void    qh_gausselim(realT **rows, int numrow, int numcol, boolT *sign, boolT *nearzero);
-realT   qh_getangle(pointT *vect1, pointT *vect2);
-pointT *qh_getcenter(setT *vertices);
-pointT *qh_getcentrum(facetT *facet);
-realT   qh_getdistance(facetT *facet, facetT *neighbor, realT *mindist, realT *maxdist);
-void    qh_normalize(coordT *normal, int dim, boolT toporient);
-void    qh_normalize2 (coordT *normal, int dim, boolT toporient,
-            realT *minnorm, boolT *ismin);
-pointT *qh_projectpoint(pointT *point, facetT *facet, realT dist);
-
-void    qh_setfacetplane(facetT *newfacets);
-void    qh_sethyperplane_det(int dim, coordT **rows, coordT *point0,
-              boolT toporient, coordT *normal, realT *offset, boolT *nearzero);
-void    qh_sethyperplane_gauss(int dim, coordT **rows, pointT *point0,
-             boolT toporient, coordT *normal, coordT *offset, boolT *nearzero);
-boolT   qh_sharpnewfacets(void);
-
-/*========= infrequently used code in geom2.c =============*/
-
-coordT *qh_copypoints(coordT *points, int numpoints, int dimension);
-void    qh_crossproduct(int dim, realT vecA[3], realT vecB[3], realT vecC[3]);
-realT   qh_determinant(realT **rows, int dim, boolT *nearzero);
-realT   qh_detjoggle(pointT *points, int numpoints, int dimension);
-void    qh_detroundoff(void);
-realT   qh_detsimplex(pointT *apex, setT *points, int dim, boolT *nearzero);
-realT   qh_distnorm(int dim, pointT *point, pointT *normal, realT *offsetp);
-realT   qh_distround(int dimension, realT maxabs, realT maxsumabs);
-realT   qh_divzero(realT numer, realT denom, realT mindenom1, boolT *zerodiv);
-realT   qh_facetarea(facetT *facet);
-realT   qh_facetarea_simplex(int dim, coordT *apex, setT *vertices,
-          vertexT *notvertex,  boolT toporient, coordT *normal, realT *offset);
-pointT *qh_facetcenter(setT *vertices);
-facetT *qh_findgooddist(pointT *point, facetT *facetA, realT *distp, facetT **facetlist);
-void    qh_getarea(facetT *facetlist);
-boolT   qh_gram_schmidt(int dim, realT **rows);
-boolT   qh_inthresholds(coordT *normal, realT *angle);
-void    qh_joggleinput(void);
-realT  *qh_maxabsval(realT *normal, int dim);
-setT   *qh_maxmin(pointT *points, int numpoints, int dimension);
-realT   qh_maxouter(void);
-void    qh_maxsimplex(int dim, setT *maxpoints, pointT *points, int numpoints, setT **simplex);
-realT   qh_minabsval(realT *normal, int dim);
-int     qh_mindiff(realT *vecA, realT *vecB, int dim);
-boolT   qh_orientoutside(facetT *facet);
-void    qh_outerinner(facetT *facet, realT *outerplane, realT *innerplane);
-coordT  qh_pointdist(pointT *point1, pointT *point2, int dim);
-void    qh_printmatrix(FILE *fp, const char *string, realT **rows, int numrow, int numcol);
-void    qh_printpoints(FILE *fp, const char *string, setT *points);
-void    qh_projectinput(void);
-void    qh_projectpoints(signed char *project, int n, realT *points,
-             int numpoints, int dim, realT *newpoints, int newdim);
-void    qh_rotateinput(realT **rows);
-void    qh_rotatepoints(realT *points, int numpoints, int dim, realT **rows);
-void    qh_scaleinput(void);
-void    qh_scalelast(coordT *points, int numpoints, int dim, coordT low,
-                   coordT high, coordT newhigh);
-void    qh_scalepoints(pointT *points, int numpoints, int dim,
-                realT *newlows, realT *newhighs);
-boolT   qh_sethalfspace(int dim, coordT *coords, coordT **nextp,
-              coordT *normal, coordT *offset, coordT *feasible);
-coordT *qh_sethalfspace_all(int dim, int count, coordT *halfspaces, pointT *feasible);
-pointT *qh_voronoi_center(int dim, setT *points);
-
-#endif /* qhDEFgeom */
diff --git a/extern/qhull/geom2.c b/extern/qhull/geom2.c
deleted file mode 100644
index 2ba4a9f251f1..000000000000
--- a/extern/qhull/geom2.c
+++ /dev/null
@@ -1,2080 +0,0 @@
-/*<html><pre>  -<a                             href="qh-geom.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-
-   geom2.c
-   infrequently used geometric routines of qhull
-
-   see qh-geom.htm and geom.h
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/geom2.c#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-
-   frequently used code goes into geom.c
-*/
-
-#include "qhull_a.h"
-
-/*================== functions in alphabetic order ============*/
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="copypoints">-</a>
-
-  qh_copypoints( points, numpoints, dimension)
-    return qh_malloc'd copy of points
-*/
-coordT *qh_copypoints(coordT *points, int numpoints, int dimension) {
-  int size;
-  coordT *newpoints;
-
-  size= numpoints * dimension * (int)sizeof(coordT);
-  if (!(newpoints=(coordT*)qh_malloc((size_t)size))) {
-    qh_fprintf(qh ferr, 6004, "qhull error: insufficient memory to copy %d points\n",
-        numpoints);
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  memcpy((char *)newpoints, (char *)points, (size_t)size);
-  return newpoints;
-} /* copypoints */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="crossproduct">-</a>
-
-  qh_crossproduct( dim, vecA, vecB, vecC )
-    crossproduct of 2 dim vectors
-    C= A x B
-
-  notes:
-    from Glasner, Graphics Gems I, p. 639
-    only defined for dim==3
-*/
-void qh_crossproduct(int dim, realT vecA[3], realT vecB[3], realT vecC[3]){
-
-  if (dim == 3) {
-    vecC[0]=   det2_(vecA[1], vecA[2],
-                     vecB[1], vecB[2]);
-    vecC[1]= - det2_(vecA[0], vecA[2],
-                     vecB[0], vecB[2]);
-    vecC[2]=   det2_(vecA[0], vecA[1],
-                     vecB[0], vecB[1]);
-  }
-} /* vcross */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="determinant">-</a>
-
-  qh_determinant( rows, dim, nearzero )
-    compute signed determinant of a square matrix
-    uses qh.NEARzero to test for degenerate matrices
-
-  returns:
-    determinant
-    overwrites rows and the matrix
-    if dim == 2 or 3
-      nearzero iff determinant < qh NEARzero[dim-1]
-      (!quite correct, not critical)
-    if dim >= 4
-      nearzero iff diagonal[k] < qh NEARzero[k]
-*/
-realT qh_determinant(realT **rows, int dim, boolT *nearzero) {
-  realT det=0;
-  int i;
-  boolT sign= False;
-
-  *nearzero= False;
-  if (dim < 2) {
-    qh_fprintf(qh ferr, 6005, "qhull internal error (qh_determinate): only implemented for dimension >= 2\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }else if (dim == 2) {
-    det= det2_(rows[0][0], rows[0][1],
-                 rows[1][0], rows[1][1]);
-    if (fabs_(det) < qh NEARzero[1])  /* not really correct, what should this be? */
-      *nearzero= True;
-  }else if (dim == 3) {
-    det= det3_(rows[0][0], rows[0][1], rows[0][2],
-                 rows[1][0], rows[1][1], rows[1][2],
-                 rows[2][0], rows[2][1], rows[2][2]);
-    if (fabs_(det) < qh NEARzero[2])  /* not really correct, what should this be? */
-      *nearzero= True;
-  }else {
-    qh_gausselim(rows, dim, dim, &sign, nearzero);  /* if nearzero, diagonal still ok*/
-    det= 1.0;
-    for (i=dim; i--; )
-      det *= (rows[i])[i];
-    if (sign)
-      det= -det;
-  }
-  return det;
-} /* determinant */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="detjoggle">-</a>
-
-  qh_detjoggle( points, numpoints, dimension )
-    determine default max joggle for point array
-      as qh_distround * qh_JOGGLEdefault
-
-  returns:
-    initial value for JOGGLEmax from points and REALepsilon
-
-  notes:
-    computes DISTround since qh_maxmin not called yet
-    if qh SCALElast, last dimension will be scaled later to MAXwidth
-
-    loop duplicated from qh_maxmin
-*/
-realT qh_detjoggle(pointT *points, int numpoints, int dimension) {
-  realT abscoord, distround, joggle, maxcoord, mincoord;
-  pointT *point, *pointtemp;
-  realT maxabs= -REALmax;
-  realT sumabs= 0;
-  realT maxwidth= 0;
-  int k;
-
-  for (k=0; k < dimension; k++) {
-    if (qh SCALElast && k == dimension-1)
-      abscoord= maxwidth;
-    else if (qh DELAUNAY && k == dimension-1) /* will qh_setdelaunay() */
-      abscoord= 2 * maxabs * maxabs;  /* may be low by qh hull_dim/2 */
-    else {
-      maxcoord= -REALmax;
-      mincoord= REALmax;
-      FORALLpoint_(points, numpoints) {
-        maximize_(maxcoord, point[k]);
-        minimize_(mincoord, point[k]);
-      }
-      maximize_(maxwidth, maxcoord-mincoord);
-      abscoord= fmax_(maxcoord, -mincoord);
-    }
-    sumabs += abscoord;
-    maximize_(maxabs, abscoord);
-  } /* for k */
-  distround= qh_distround(qh hull_dim, maxabs, sumabs);
-  joggle= distround * qh_JOGGLEdefault;
-  maximize_(joggle, REALepsilon * qh_JOGGLEdefault);
-  trace2((qh ferr, 2001, "qh_detjoggle: joggle=%2.2g maxwidth=%2.2g\n", joggle, maxwidth));
-  return joggle;
-} /* detjoggle */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="detroundoff">-</a>
-
-  qh_detroundoff()
-    determine maximum roundoff errors from
-      REALepsilon, REALmax, REALmin, qh.hull_dim, qh.MAXabs_coord,
-      qh.MAXsumcoord, qh.MAXwidth, qh.MINdenom_1
-
-    accounts for qh.SETroundoff, qh.RANDOMdist, qh MERGEexact
-      qh.premerge_cos, qh.postmerge_cos, qh.premerge_centrum,
-      qh.postmerge_centrum, qh.MINoutside,
-      qh_RATIOnearinside, qh_COPLANARratio, qh_WIDEcoplanar
-
-  returns:
-    sets qh.DISTround, etc. (see below)
-    appends precision constants to qh.qhull_options
-
-  see:
-    qh_maxmin() for qh.NEARzero
-
-  design:
-    determine qh.DISTround for distance computations
-    determine minimum denominators for qh_divzero
-    determine qh.ANGLEround for angle computations
-    adjust qh.premerge_cos,... for roundoff error
-    determine qh.ONEmerge for maximum error due to a single merge
-    determine qh.NEARinside, qh.MAXcoplanar, qh.MINvisible,
-      qh.MINoutside, qh.WIDEfacet
-    initialize qh.max_vertex and qh.minvertex
-*/
-void qh_detroundoff(void) {
-
-  qh_option("_max-width", NULL, &qh MAXwidth);
-  if (!qh SETroundoff) {
-    qh DISTround= qh_distround(qh hull_dim, qh MAXabs_coord, qh MAXsumcoord);
-    if (qh RANDOMdist)
-      qh DISTround += qh RANDOMfactor * qh MAXabs_coord;
-    qh_option("Error-roundoff", NULL, &qh DISTround);
-  }
-  qh MINdenom= qh MINdenom_1 * qh MAXabs_coord;
-  qh MINdenom_1_2= sqrt(qh MINdenom_1 * qh hull_dim) ;  /* if will be normalized */
-  qh MINdenom_2= qh MINdenom_1_2 * qh MAXabs_coord;
-                                              /* for inner product */
-  qh ANGLEround= 1.01 * qh hull_dim * REALepsilon;
-  if (qh RANDOMdist)
-    qh ANGLEround += qh RANDOMfactor;
-  if (qh premerge_cos < REALmax/2) {
-    qh premerge_cos -= qh ANGLEround;
-    if (qh RANDOMdist)
-      qh_option("Angle-premerge-with-random", NULL, &qh premerge_cos);
-  }
-  if (qh postmerge_cos < REALmax/2) {
-    qh postmerge_cos -= qh ANGLEround;
-    if (qh RANDOMdist)
-      qh_option("Angle-postmerge-with-random", NULL, &qh postmerge_cos);
-  }
-  qh premerge_centrum += 2 * qh DISTround;    /*2 for centrum and distplane()*/
-  qh postmerge_centrum += 2 * qh DISTround;
-  if (qh RANDOMdist && (qh MERGEexact || qh PREmerge))
-    qh_option("Centrum-premerge-with-random", NULL, &qh premerge_centrum);
-  if (qh RANDOMdist && qh POSTmerge)
-    qh_option("Centrum-postmerge-with-random", NULL, &qh postmerge_centrum);
-  { /* compute ONEmerge, max vertex offset for merging simplicial facets */
-    realT maxangle= 1.0, maxrho;
-
-    minimize_(maxangle, qh premerge_cos);
-    minimize_(maxangle, qh postmerge_cos);
-    /* max diameter * sin theta + DISTround for vertex to its hyperplane */
-    qh ONEmerge= sqrt((realT)qh hull_dim) * qh MAXwidth *
-      sqrt(1.0 - maxangle * maxangle) + qh DISTround;
-    maxrho= qh hull_dim * qh premerge_centrum + qh DISTround;
-    maximize_(qh ONEmerge, maxrho);
-    maxrho= qh hull_dim * qh postmerge_centrum + qh DISTround;
-    maximize_(qh ONEmerge, maxrho);
-    if (qh MERGING)
-      qh_option("_one-merge", NULL, &qh ONEmerge);
-  }
-  qh NEARinside= qh ONEmerge * qh_RATIOnearinside; /* only used if qh KEEPnearinside */
-  if (qh JOGGLEmax < REALmax/2 && (qh KEEPcoplanar || qh KEEPinside)) {
-    realT maxdist;             /* adjust qh.NEARinside for joggle */
-    qh KEEPnearinside= True;
-    maxdist= sqrt((realT)qh hull_dim) * qh JOGGLEmax + qh DISTround;
-    maxdist= 2*maxdist;        /* vertex and coplanar point can joggle in opposite directions */
-    maximize_(qh NEARinside, maxdist);  /* must agree with qh_nearcoplanar() */
-  }
-  if (qh KEEPnearinside)
-    qh_option("_near-inside", NULL, &qh NEARinside);
-  if (qh JOGGLEmax < qh DISTround) {
-    qh_fprintf(qh ferr, 6006, "qhull error: the joggle for 'QJn', %.2g, is below roundoff for distance computations, %.2g\n",
-         qh JOGGLEmax, qh DISTround);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (qh MINvisible > REALmax/2) {
-    if (!qh MERGING)
-      qh MINvisible= qh DISTround;
-    else if (qh hull_dim <= 3)
-      qh MINvisible= qh premerge_centrum;
-    else
-      qh MINvisible= qh_COPLANARratio * qh premerge_centrum;
-    if (qh APPROXhull && qh MINvisible > qh MINoutside)
-      qh MINvisible= qh MINoutside;
-    qh_option("Visible-distance", NULL, &qh MINvisible);
-  }
-  if (qh MAXcoplanar > REALmax/2) {
-    qh MAXcoplanar= qh MINvisible;
-    qh_option("U-coplanar-distance", NULL, &qh MAXcoplanar);
-  }
-  if (!qh APPROXhull) {             /* user may specify qh MINoutside */
-    qh MINoutside= 2 * qh MINvisible;
-    if (qh premerge_cos < REALmax/2)
-      maximize_(qh MINoutside, (1- qh premerge_cos) * qh MAXabs_coord);
-    qh_option("Width-outside", NULL, &qh MINoutside);
-  }
-  qh WIDEfacet= qh MINoutside;
-  maximize_(qh WIDEfacet, qh_WIDEcoplanar * qh MAXcoplanar);
-  maximize_(qh WIDEfacet, qh_WIDEcoplanar * qh MINvisible);
-  qh_option("_wide-facet", NULL, &qh WIDEfacet);
-  if (qh MINvisible > qh MINoutside + 3 * REALepsilon
-  && !qh BESToutside && !qh FORCEoutput)
-    qh_fprintf(qh ferr, 7001, "qhull input warning: minimum visibility V%.2g is greater than \nminimum outside W%.2g.  Flipped facets are likely.\n",
-             qh MINvisible, qh MINoutside);
-  qh max_vertex= qh DISTround;
-  qh min_vertex= -qh DISTround;
-  /* numeric constants reported in printsummary */
-} /* detroundoff */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="detsimplex">-</a>
-
-  qh_detsimplex( apex, points, dim, nearzero )
-    compute determinant of a simplex with point apex and base points
-
-  returns:
-     signed determinant and nearzero from qh_determinant
-
-  notes:
-     uses qh.gm_matrix/qh.gm_row (assumes they're big enough)
-
-  design:
-    construct qm_matrix by subtracting apex from points
-    compute determinate
-*/
-realT qh_detsimplex(pointT *apex, setT *points, int dim, boolT *nearzero) {
-  pointT *coorda, *coordp, *gmcoord, *point, **pointp;
-  coordT **rows;
-  int k,  i=0;
-  realT det;
-
-  zinc_(Zdetsimplex);
-  gmcoord= qh gm_matrix;
-  rows= qh gm_row;
-  FOREACHpoint_(points) {
-    if (i == dim)
-      break;
-    rows[i++]= gmcoord;
-    coordp= point;
-    coorda= apex;
-    for (k=dim; k--; )
-      *(gmcoord++)= *coordp++ - *coorda++;
-  }
-  if (i < dim) {
-    qh_fprintf(qh ferr, 6007, "qhull internal error (qh_detsimplex): #points %d < dimension %d\n",
-               i, dim);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  det= qh_determinant(rows, dim, nearzero);
-  trace2((qh ferr, 2002, "qh_detsimplex: det=%2.2g for point p%d, dim %d, nearzero? %d\n",
-          det, qh_pointid(apex), dim, *nearzero));
-  return det;
-} /* detsimplex */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="distnorm">-</a>
-
-  qh_distnorm( dim, point, normal, offset )
-    return distance from point to hyperplane at normal/offset
-
-  returns:
-    dist
-
-  notes:
-    dist > 0 if point is outside of hyperplane
-
-  see:
-    qh_distplane in geom.c
-*/
-realT qh_distnorm(int dim, pointT *point, pointT *normal, realT *offsetp) {
-  coordT *normalp= normal, *coordp= point;
-  realT dist;
-  int k;
-
-  dist= *offsetp;
-  for (k=dim; k--; )
-    dist += *(coordp++) * *(normalp++);
-  return dist;
-} /* distnorm */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="distround">-</a>
-
-  qh_distround(dimension, maxabs, maxsumabs )
-    compute maximum round-off error for a distance computation
-      to a normalized hyperplane
-    maxabs is the maximum absolute value of a coordinate
-    maxsumabs is the maximum possible sum of absolute coordinate values
-
-  returns:
-    max dist round for REALepsilon
-
-  notes:
-    calculate roundoff error according to
-    Lemma 3.2-1 of Golub and van Loan "Matrix Computation"
-    use sqrt(dim) since one vector is normalized
-      or use maxsumabs since one vector is < 1
-*/
-realT qh_distround(int dimension, realT maxabs, realT maxsumabs) {
-  realT maxdistsum, maxround;
-
-  maxdistsum= sqrt((realT)dimension) * maxabs;
-  minimize_( maxdistsum, maxsumabs);
-  maxround= REALepsilon * (dimension * maxdistsum * 1.01 + maxabs);
-              /* adds maxabs for offset */
-  trace4((qh ferr, 4008, "qh_distround: %2.2g maxabs %2.2g maxsumabs %2.2g maxdistsum %2.2g\n",
-                 maxround, maxabs, maxsumabs, maxdistsum));
-  return maxround;
-} /* distround */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="divzero">-</a>
-
-  qh_divzero( numer, denom, mindenom1, zerodiv )
-    divide by a number that's nearly zero
-    mindenom1= minimum denominator for dividing into 1.0
-
-  returns:
-    quotient
-    sets zerodiv and returns 0.0 if it would overflow
-
-  design:
-    if numer is nearly zero and abs(numer) < abs(denom)
-      return numer/denom
-    else if numer is nearly zero
-      return 0 and zerodiv
-    else if denom/numer non-zero
-      return numer/denom
-    else
-      return 0 and zerodiv
-*/
-realT qh_divzero(realT numer, realT denom, realT mindenom1, boolT *zerodiv) {
-  realT temp, numerx, denomx;
-
-
-  if (numer < mindenom1 && numer > -mindenom1) {
-    numerx= fabs_(numer);
-    denomx= fabs_(denom);
-    if (numerx < denomx) {
-      *zerodiv= False;
-      return numer/denom;
-    }else {
-      *zerodiv= True;
-      return 0.0;
-    }
-  }
-  temp= denom/numer;
-  if (temp > mindenom1 || temp < -mindenom1) {
-    *zerodiv= False;
-    return numer/denom;
-  }else {
-    *zerodiv= True;
-    return 0.0;
-  }
-} /* divzero */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="facetarea">-</a>
-
-  qh_facetarea( facet )
-    return area for a facet
-
-  notes:
-    if non-simplicial,
-      uses centrum to triangulate facet and sums the projected areas.
-    if (qh DELAUNAY),
-      computes projected area instead for last coordinate
-    assumes facet->normal exists
-    projecting tricoplanar facets to the hyperplane does not appear to make a difference
-
-  design:
-    if simplicial
-      compute area
-    else
-      for each ridge
-        compute area from centrum to ridge
-    negate area if upper Delaunay facet
-*/
-realT qh_facetarea(facetT *facet) {
-  vertexT *apex;
-  pointT *centrum;
-  realT area= 0.0;
-  ridgeT *ridge, **ridgep;
-
-  if (facet->simplicial) {
-    apex= SETfirstt_(facet->vertices, vertexT);
-    area= qh_facetarea_simplex(qh hull_dim, apex->point, facet->vertices,
-                    apex, facet->toporient, facet->normal, &facet->offset);
-  }else {
-    if (qh CENTERtype == qh_AScentrum)
-      centrum= facet->center;
-    else
-      centrum= qh_getcentrum(facet);
-    FOREACHridge_(facet->ridges)
-      area += qh_facetarea_simplex(qh hull_dim, centrum, ridge->vertices,
-                 NULL, (boolT)(ridge->top == facet),  facet->normal, &facet->offset);
-    if (qh CENTERtype != qh_AScentrum)
-      qh_memfree(centrum, qh normal_size);
-  }
-  if (facet->upperdelaunay && qh DELAUNAY)
-    area= -area;  /* the normal should be [0,...,1] */
-  trace4((qh ferr, 4009, "qh_facetarea: f%d area %2.2g\n", facet->id, area));
-  return area;
-} /* facetarea */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="facetarea_simplex">-</a>
-
-  qh_facetarea_simplex( dim, apex, vertices, notvertex, toporient, normal, offset )
-    return area for a simplex defined by
-      an apex, a base of vertices, an orientation, and a unit normal
-    if simplicial or tricoplanar facet,
-      notvertex is defined and it is skipped in vertices
-
-  returns:
-    computes area of simplex projected to plane [normal,offset]
-    returns 0 if vertex too far below plane (qh WIDEfacet)
-      vertex can't be apex of tricoplanar facet
-
-  notes:
-    if (qh DELAUNAY),
-      computes projected area instead for last coordinate
-    uses qh gm_matrix/gm_row and qh hull_dim
-    helper function for qh_facetarea
-
-  design:
-    if Notvertex
-      translate simplex to apex
-    else
-      project simplex to normal/offset
-      translate simplex to apex
-    if Delaunay
-      set last row/column to 0 with -1 on diagonal
-    else
-      set last row to Normal
-    compute determinate
-    scale and flip sign for area
-*/
-realT qh_facetarea_simplex(int dim, coordT *apex, setT *vertices,
-        vertexT *notvertex,  boolT toporient, coordT *normal, realT *offset) {
-  pointT *coorda, *coordp, *gmcoord;
-  coordT **rows, *normalp;
-  int k,  i=0;
-  realT area, dist;
-  vertexT *vertex, **vertexp;
-  boolT nearzero;
-
-  gmcoord= qh gm_matrix;
-  rows= qh gm_row;
-  FOREACHvertex_(vertices) {
-    if (vertex == notvertex)
-      continue;
-    rows[i++]= gmcoord;
-    coorda= apex;
-    coordp= vertex->point;
-    normalp= normal;
-    if (notvertex) {
-      for (k=dim; k--; )
-        *(gmcoord++)= *coordp++ - *coorda++;
-    }else {
-      dist= *offset;
-      for (k=dim; k--; )
-        dist += *coordp++ * *normalp++;
-      if (dist < -qh WIDEfacet) {
-        zinc_(Znoarea);
-        return 0.0;
-      }
-      coordp= vertex->point;
-      normalp= normal;
-      for (k=dim; k--; )
-        *(gmcoord++)= (*coordp++ - dist * *normalp++) - *coorda++;
-    }
-  }
-  if (i != dim-1) {
-    qh_fprintf(qh ferr, 6008, "qhull internal error (qh_facetarea_simplex): #points %d != dim %d -1\n",
-               i, dim);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  rows[i]= gmcoord;
-  if (qh DELAUNAY) {
-    for (i=0; i < dim-1; i++)
-      rows[i][dim-1]= 0.0;
-    for (k=dim; k--; )
-      *(gmcoord++)= 0.0;
-    rows[dim-1][dim-1]= -1.0;
-  }else {
-    normalp= normal;
-    for (k=dim; k--; )
-      *(gmcoord++)= *normalp++;
-  }
-  zinc_(Zdetsimplex);
-  area= qh_determinant(rows, dim, &nearzero);
-  if (toporient)
-    area= -area;
-  area *= qh AREAfactor;
-  trace4((qh ferr, 4010, "qh_facetarea_simplex: area=%2.2g for point p%d, toporient %d, nearzero? %d\n",
-          area, qh_pointid(apex), toporient, nearzero));
-  return area;
-} /* facetarea_simplex */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="facetcenter">-</a>
-
-  qh_facetcenter( vertices )
-    return Voronoi center (Voronoi vertex) for a facet's vertices
-
-  returns:
-    return temporary point equal to the center
-
-  see:
-    qh_voronoi_center()
-*/
-pointT *qh_facetcenter(setT *vertices) {
-  setT *points= qh_settemp(qh_setsize(vertices));
-  vertexT *vertex, **vertexp;
-  pointT *center;
-
-  FOREACHvertex_(vertices)
-    qh_setappend(&points, vertex->point);
-  center= qh_voronoi_center(qh hull_dim-1, points);
-  qh_settempfree(&points);
-  return center;
-} /* facetcenter */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="findgooddist">-</a>
-
-  qh_findgooddist( point, facetA, dist, facetlist )
-    find best good facet visible for point from facetA
-    assumes facetA is visible from point
-
-  returns:
-    best facet, i.e., good facet that is furthest from point
-      distance to best facet
-      NULL if none
-
-    moves good, visible facets (and some other visible facets)
-      to end of qh facet_list
-
-  notes:
-    uses qh visit_id
-
-  design:
-    initialize bestfacet if facetA is good
-    move facetA to end of facetlist
-    for each facet on facetlist
-      for each unvisited neighbor of facet
-        move visible neighbors to end of facetlist
-        update best good neighbor
-        if no good neighbors, update best facet
-*/
-facetT *qh_findgooddist(pointT *point, facetT *facetA, realT *distp,
-               facetT **facetlist) {
-  realT bestdist= -REALmax, dist;
-  facetT *neighbor, **neighborp, *bestfacet=NULL, *facet;
-  boolT goodseen= False;
-
-  if (facetA->good) {
-    zzinc_(Zcheckpart);  /* calls from check_bestdist occur after print stats */
-    qh_distplane(point, facetA, &bestdist);
-    bestfacet= facetA;
-    goodseen= True;
-  }
-  qh_removefacet(facetA);
-  qh_appendfacet(facetA);
-  *facetlist= facetA;
-  facetA->visitid= ++qh visit_id;
-  FORALLfacet_(*facetlist) {
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid == qh visit_id)
-        continue;
-      neighbor->visitid= qh visit_id;
-      if (goodseen && !neighbor->good)
-        continue;
-      zzinc_(Zcheckpart);
-      qh_distplane(point, neighbor, &dist);
-      if (dist > 0) {
-        qh_removefacet(neighbor);
-        qh_appendfacet(neighbor);
-        if (neighbor->good) {
-          goodseen= True;
-          if (dist > bestdist) {
-            bestdist= dist;
-            bestfacet= neighbor;
-          }
-        }
-      }
-    }
-  }
-  if (bestfacet) {
-    *distp= bestdist;
-    trace2((qh ferr, 2003, "qh_findgooddist: p%d is %2.2g above good facet f%d\n",
-      qh_pointid(point), bestdist, bestfacet->id));
-    return bestfacet;
-  }
-  trace4((qh ferr, 4011, "qh_findgooddist: no good facet for p%d above f%d\n",
-      qh_pointid(point), facetA->id));
-  return NULL;
-}  /* findgooddist */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="getarea">-</a>
-
-  qh_getarea( facetlist )
-    set area of all facets in facetlist
-    collect statistics
-    nop if hasAreaVolume
-
-  returns:
-    sets qh totarea/totvol to total area and volume of convex hull
-    for Delaunay triangulation, computes projected area of the lower or upper hull
-      ignores upper hull if qh ATinfinity
-
-  notes:
-    could compute outer volume by expanding facet area by rays from interior
-    the following attempt at perpendicular projection underestimated badly:
-      qh.totoutvol += (-dist + facet->maxoutside + qh DISTround)
-                            * area/ qh hull_dim;
-  design:
-    for each facet on facetlist
-      compute facet->area
-      update qh.totarea and qh.totvol
-*/
-void qh_getarea(facetT *facetlist) {
-  realT area;
-  realT dist;
-  facetT *facet;
-
-  if (qh hasAreaVolume)
-    return;
-  if (qh REPORTfreq)
-    qh_fprintf(qh ferr, 8020, "computing area of each facet and volume of the convex hull\n");
-  else
-    trace1((qh ferr, 1001, "qh_getarea: computing volume and area for each facet\n"));
-  qh totarea= qh totvol= 0.0;
-  FORALLfacet_(facetlist) {
-    if (!facet->normal)
-      continue;
-    if (facet->upperdelaunay && qh ATinfinity)
-      continue;
-    if (!facet->isarea) {
-      facet->f.area= qh_facetarea(facet);
-      facet->isarea= True;
-    }
-    area= facet->f.area;
-    if (qh DELAUNAY) {
-      if (facet->upperdelaunay == qh UPPERdelaunay)
-        qh totarea += area;
-    }else {
-      qh totarea += area;
-      qh_distplane(qh interior_point, facet, &dist);
-      qh totvol += -dist * area/ qh hull_dim;
-    }
-    if (qh PRINTstatistics) {
-      wadd_(Wareatot, area);
-      wmax_(Wareamax, area);
-      wmin_(Wareamin, area);
-    }
-  }
-  qh hasAreaVolume= True;
-} /* getarea */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="gram_schmidt">-</a>
-
-  qh_gram_schmidt( dim, row )
-    implements Gram-Schmidt orthogonalization by rows
-
-  returns:
-    false if zero norm
-    overwrites rows[dim][dim]
-
-  notes:
-    see Golub & van Loan Algorithm 6.2-2
-    overflow due to small divisors not handled
-
-  design:
-    for each row
-      compute norm for row
-      if non-zero, normalize row
-      for each remaining rowA
-        compute inner product of row and rowA
-        reduce rowA by row * inner product
-*/
-boolT qh_gram_schmidt(int dim, realT **row) {
-  realT *rowi, *rowj, norm;
-  int i, j, k;
-
-  for (i=0; i < dim; i++) {
-    rowi= row[i];
-    for (norm= 0.0, k= dim; k--; rowi++)
-      norm += *rowi * *rowi;
-    norm= sqrt(norm);
-    wmin_(Wmindenom, norm);
-    if (norm == 0.0)  /* either 0 or overflow due to sqrt */
-      return False;
-    for (k=dim; k--; )
-      *(--rowi) /= norm;
-    for (j=i+1; j < dim; j++) {
-      rowj= row[j];
-      for (norm= 0.0, k=dim; k--; )
-        norm += *rowi++ * *rowj++;
-      for (k=dim; k--; )
-        *(--rowj) -= *(--rowi) * norm;
-    }
-  }
-  return True;
-} /* gram_schmidt */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="inthresholds">-</a>
-
-  qh_inthresholds( normal, angle )
-    return True if normal within qh.lower_/upper_threshold
-
-  returns:
-    estimate of angle by summing of threshold diffs
-      angle may be NULL
-      smaller "angle" is better
-
-  notes:
-    invalid if qh.SPLITthresholds
-
-  see:
-    qh.lower_threshold in qh_initbuild()
-    qh_initthresholds()
-
-  design:
-    for each dimension
-      test threshold
-*/
-boolT qh_inthresholds(coordT *normal, realT *angle) {
-  boolT within= True;
-  int k;
-  realT threshold;
-
-  if (angle)
-    *angle= 0.0;
-  for (k=0; k < qh hull_dim; k++) {
-    threshold= qh lower_threshold[k];
-    if (threshold > -REALmax/2) {
-      if (normal[k] < threshold)
-        within= False;
-      if (angle) {
-        threshold -= normal[k];
-        *angle += fabs_(threshold);
-      }
-    }
-    if (qh upper_threshold[k] < REALmax/2) {
-      threshold= qh upper_threshold[k];
-      if (normal[k] > threshold)
-        within= False;
-      if (angle) {
-        threshold -= normal[k];
-        *angle += fabs_(threshold);
-      }
-    }
-  }
-  return within;
-} /* inthresholds */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="joggleinput">-</a>
-
-  qh_joggleinput()
-    randomly joggle input to Qhull by qh.JOGGLEmax
-    initial input is qh.first_point/qh.num_points of qh.hull_dim
-      repeated calls use qh.input_points/qh.num_points
-
-  returns:
-    joggles points at qh.first_point/qh.num_points
-    copies data to qh.input_points/qh.input_malloc if first time
-    determines qh.JOGGLEmax if it was zero
-    if qh.DELAUNAY
-      computes the Delaunay projection of the joggled points
-
-  notes:
-    if qh.DELAUNAY, unnecessarily joggles the last coordinate
-    the initial 'QJn' may be set larger than qh_JOGGLEmaxincrease
-
-  design:
-    if qh.DELAUNAY
-      set qh.SCALElast for reduced precision errors
-    if first call
-      initialize qh.input_points to the original input points
-      if qh.JOGGLEmax == 0
-        determine default qh.JOGGLEmax
-    else
-      increase qh.JOGGLEmax according to qh.build_cnt
-    joggle the input by adding a random number in [-qh.JOGGLEmax,qh.JOGGLEmax]
-    if qh.DELAUNAY
-      sets the Delaunay projection
-*/
-void qh_joggleinput(void) {
-  int i, seed, size;
-  coordT *coordp, *inputp;
-  realT randr, randa, randb;
-
-  if (!qh input_points) { /* first call */
-    qh input_points= qh first_point;
-    qh input_malloc= qh POINTSmalloc;
-    size= qh num_points * qh hull_dim * sizeof(coordT);
-    if (!(qh first_point=(coordT*)qh_malloc((size_t)size))) {
-      qh_fprintf(qh ferr, 6009, "qhull error: insufficient memory to joggle %d points\n",
-          qh num_points);
-      qh_errexit(qh_ERRmem, NULL, NULL);
-    }
-    qh POINTSmalloc= True;
-    if (qh JOGGLEmax == 0.0) {
-      qh JOGGLEmax= qh_detjoggle(qh input_points, qh num_points, qh hull_dim);
-      qh_option("QJoggle", NULL, &qh JOGGLEmax);
-    }
-  }else {                 /* repeated call */
-    if (!qh RERUN && qh build_cnt > qh_JOGGLEretry) {
-      if (((qh build_cnt-qh_JOGGLEretry-1) % qh_JOGGLEagain) == 0) {
-        realT maxjoggle= qh MAXwidth * qh_JOGGLEmaxincrease;
-        if (qh JOGGLEmax < maxjoggle) {
-          qh JOGGLEmax *= qh_JOGGLEincrease;
-          minimize_(qh JOGGLEmax, maxjoggle);
-        }
-      }
-    }
-    qh_option("QJoggle", NULL, &qh JOGGLEmax);
-  }
-  if (qh build_cnt > 1 && qh JOGGLEmax > fmax_(qh MAXwidth/4, 0.1)) {
-      qh_fprintf(qh ferr, 6010, "qhull error: the current joggle for 'QJn', %.2g, is too large for the width\nof the input.  If possible, recompile Qhull with higher-precision reals.\n",
-                qh JOGGLEmax);
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  /* for some reason, using qh ROTATErandom and qh_RANDOMseed does not repeat the run. Use 'TRn' instead */
-  seed= qh_RANDOMint;
-  qh_option("_joggle-seed", &seed, NULL);
-  trace0((qh ferr, 6, "qh_joggleinput: joggle input by %2.2g with seed %d\n",
-    qh JOGGLEmax, seed));
-  inputp= qh input_points;
-  coordp= qh first_point;
-  randa= 2.0 * qh JOGGLEmax/qh_RANDOMmax;
-  randb= -qh JOGGLEmax;
-  size= qh num_points * qh hull_dim;
-  for (i=size; i--; ) {
-    randr= qh_RANDOMint;
-    *(coordp++)= *(inputp++) + (randr * randa + randb);
-  }
-  if (qh DELAUNAY) {
-    qh last_low= qh last_high= qh last_newhigh= REALmax;
-    qh_setdelaunay(qh hull_dim, qh num_points, qh first_point);
-  }
-} /* joggleinput */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="maxabsval">-</a>
-
-  qh_maxabsval( normal, dim )
-    return pointer to maximum absolute value of a dim vector
-    returns NULL if dim=0
-*/
-realT *qh_maxabsval(realT *normal, int dim) {
-  realT maxval= -REALmax;
-  realT *maxp= NULL, *colp, absval;
-  int k;
-
-  for (k=dim, colp= normal; k--; colp++) {
-    absval= fabs_(*colp);
-    if (absval > maxval) {
-      maxval= absval;
-      maxp= colp;
-    }
-  }
-  return maxp;
-} /* maxabsval */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="maxmin">-</a>
-
-  qh_maxmin( points, numpoints, dimension )
-    return max/min points for each dimension
-    determine max and min coordinates
-
-  returns:
-    returns a temporary set of max and min points
-      may include duplicate points. Does not include qh.GOODpoint
-    sets qh.NEARzero, qh.MAXabs_coord, qh.MAXsumcoord, qh.MAXwidth
-         qh.MAXlastcoord, qh.MINlastcoord
-    initializes qh.max_outside, qh.min_vertex, qh.WAScoplanar, qh.ZEROall_ok
-
-  notes:
-    loop duplicated in qh_detjoggle()
-
-  design:
-    initialize global precision variables
-    checks definition of REAL...
-    for each dimension
-      for each point
-        collect maximum and minimum point
-      collect maximum of maximums and minimum of minimums
-      determine qh.NEARzero for Gaussian Elimination
-*/
-setT *qh_maxmin(pointT *points, int numpoints, int dimension) {
-  int k;
-  realT maxcoord, temp;
-  pointT *minimum, *maximum, *point, *pointtemp;
-  setT *set;
-
-  qh max_outside= 0.0;
-  qh MAXabs_coord= 0.0;
-  qh MAXwidth= -REALmax;
-  qh MAXsumcoord= 0.0;
-  qh min_vertex= 0.0;
-  qh WAScoplanar= False;
-  if (qh ZEROcentrum)
-    qh ZEROall_ok= True;
-  if (REALmin < REALepsilon && REALmin < REALmax && REALmin > -REALmax
-  && REALmax > 0.0 && -REALmax < 0.0)
-    ; /* all ok */
-  else {
-    qh_fprintf(qh ferr, 6011, "qhull error: floating point constants in user.h are wrong\n\
-REALepsilon %g REALmin %g REALmax %g -REALmax %g\n",
-             REALepsilon, REALmin, REALmax, -REALmax);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  set= qh_settemp(2*dimension);
-  for (k=0; k < dimension; k++) {
-    if (points == qh GOODpointp)
-      minimum= maximum= points + dimension;
-    else
-      minimum= maximum= points;
-    FORALLpoint_(points, numpoints) {
-      if (point == qh GOODpointp)
-        continue;
-      if (maximum[k] < point[k])
-        maximum= point;
-      else if (minimum[k] > point[k])
-        minimum= point;
-    }
-    if (k == dimension-1) {
-      qh MINlastcoord= minimum[k];
-      qh MAXlastcoord= maximum[k];
-    }
-    if (qh SCALElast && k == dimension-1)
-      maxcoord= qh MAXwidth;
-    else {
-      maxcoord= fmax_(maximum[k], -minimum[k]);
-      if (qh GOODpointp) {
-        temp= fmax_(qh GOODpointp[k], -qh GOODpointp[k]);
-        maximize_(maxcoord, temp);
-      }
-      temp= maximum[k] - minimum[k];
-      maximize_(qh MAXwidth, temp);
-    }
-    maximize_(qh MAXabs_coord, maxcoord);
-    qh MAXsumcoord += maxcoord;
-    qh_setappend(&set, maximum);
-    qh_setappend(&set, minimum);
-    /* calculation of qh NEARzero is based on error formula 4.4-13 of
-       Golub & van Loan, authors say n^3 can be ignored and 10 be used in
-       place of rho */
-    qh NEARzero[k]= 80 * qh MAXsumcoord * REALepsilon;
-  }
-  if (qh IStracing >=1)
-    qh_printpoints(qh ferr, "qh_maxmin: found the max and min points(by dim):", set);
-  return(set);
-} /* maxmin */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="maxouter">-</a>
-
-  qh_maxouter()
-    return maximum distance from facet to outer plane
-    normally this is qh.max_outside+qh.DISTround
-    does not include qh.JOGGLEmax
-
-  see:
-    qh_outerinner()
-
-  notes:
-    need to add another qh.DISTround if testing actual point with computation
-
-  for joggle:
-    qh_setfacetplane() updated qh.max_outer for Wnewvertexmax (max distance to vertex)
-    need to use Wnewvertexmax since could have a coplanar point for a high
-      facet that is replaced by a low facet
-    need to add qh.JOGGLEmax if testing input points
-*/
-realT qh_maxouter(void) {
-  realT dist;
-
-  dist= fmax_(qh max_outside, qh DISTround);
-  dist += qh DISTround;
-  trace4((qh ferr, 4012, "qh_maxouter: max distance from facet to outer plane is %2.2g max_outside is %2.2g\n", dist, qh max_outside));
-  return dist;
-} /* maxouter */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="maxsimplex">-</a>
-
-  qh_maxsimplex( dim, maxpoints, points, numpoints, simplex )
-    determines maximum simplex for a set of points
-    starts from points already in simplex
-    skips qh.GOODpointp (assumes that it isn't in maxpoints)
-
-  returns:
-    simplex with dim+1 points
-
-  notes:
-    assumes at least pointsneeded points in points
-    maximizes determinate for x,y,z,w, etc.
-    uses maxpoints as long as determinate is clearly non-zero
-
-  design:
-    initialize simplex with at least two points
-      (find points with max or min x coordinate)
-    for each remaining dimension
-      add point that maximizes the determinate
-        (use points from maxpoints first)
-*/
-void qh_maxsimplex(int dim, setT *maxpoints, pointT *points, int numpoints, setT **simplex) {
-  pointT *point, **pointp, *pointtemp, *maxpoint, *minx=NULL, *maxx=NULL;
-  boolT nearzero, maxnearzero= False;
-  int k, sizinit;
-  realT maxdet= -REALmax, det, mincoord= REALmax, maxcoord= -REALmax;
-
-  sizinit= qh_setsize(*simplex);
-  if (sizinit < 2) {
-    if (qh_setsize(maxpoints) >= 2) {
-      FOREACHpoint_(maxpoints) {
-        if (maxcoord < point[0]) {
-          maxcoord= point[0];
-          maxx= point;
-        }
-        if (mincoord > point[0]) {
-          mincoord= point[0];
-          minx= point;
-        }
-      }
-    }else {
-      FORALLpoint_(points, numpoints) {
-        if (point == qh GOODpointp)
-          continue;
-        if (maxcoord < point[0]) {
-          maxcoord= point[0];
-          maxx= point;
-        }
-        if (mincoord > point[0]) {
-          mincoord= point[0];
-          minx= point;
-        }
-      }
-    }
-    qh_setunique(simplex, minx);
-    if (qh_setsize(*simplex) < 2)
-      qh_setunique(simplex, maxx);
-    sizinit= qh_setsize(*simplex);
-    if (sizinit < 2) {
-      qh_precision("input has same x coordinate");
-      if (zzval_(Zsetplane) > qh hull_dim+1) {
-        qh_fprintf(qh ferr, 6012, "qhull precision error (qh_maxsimplex for voronoi_center):\n%d points with the same x coordinate.\n",
-                 qh_setsize(maxpoints)+numpoints);
-        qh_errexit(qh_ERRprec, NULL, NULL);
-      }else {
-        qh_fprintf(qh ferr, 6013, "qhull input error: input is less than %d-dimensional since it has the same x coordinate\n", qh hull_dim);
-        qh_errexit(qh_ERRinput, NULL, NULL);
-      }
-    }
-  }
-  for (k=sizinit; k < dim+1; k++) {
-    maxpoint= NULL;
-    maxdet= -REALmax;
-    FOREACHpoint_(maxpoints) {
-      if (!qh_setin(*simplex, point)) {
-        det= qh_detsimplex(point, *simplex, k, &nearzero);
-        if ((det= fabs_(det)) > maxdet) {
-          maxdet= det;
-          maxpoint= point;
-          maxnearzero= nearzero;
-        }
-      }
-    }
-    if (!maxpoint || maxnearzero) {
-      zinc_(Zsearchpoints);
-      if (!maxpoint) {
-        trace0((qh ferr, 7, "qh_maxsimplex: searching all points for %d-th initial vertex.\n", k+1));
-      }else {
-        trace0((qh ferr, 8, "qh_maxsimplex: searching all points for %d-th initial vertex, better than p%d det %2.2g\n",
-                k+1, qh_pointid(maxpoint), maxdet));
-      }
-      FORALLpoint_(points, numpoints) {
-        if (point == qh GOODpointp)
-          continue;
-        if (!qh_setin(*simplex, point)) {
-          det= qh_detsimplex(point, *simplex, k, &nearzero);
-          if ((det= fabs_(det)) > maxdet) {
-            maxdet= det;
-            maxpoint= point;
-            maxnearzero= nearzero;
-          }
-        }
-      }
-    } /* !maxpoint */
-    if (!maxpoint) {
-      qh_fprintf(qh ferr, 6014, "qhull internal error (qh_maxsimplex): not enough points available\n");
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-    qh_setappend(simplex, maxpoint);
-    trace1((qh ferr, 1002, "qh_maxsimplex: selected point p%d for %d`th initial vertex, det=%2.2g\n",
-            qh_pointid(maxpoint), k+1, maxdet));
-  } /* k */
-} /* maxsimplex */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="minabsval">-</a>
-
-  qh_minabsval( normal, dim )
-    return minimum absolute value of a dim vector
-*/
-realT qh_minabsval(realT *normal, int dim) {
-  realT minval= 0;
-  realT maxval= 0;
-  realT *colp;
-  int k;
-
-  for (k=dim, colp=normal; k--; colp++) {
-    maximize_(maxval, *colp);
-    minimize_(minval, *colp);
-  }
-  return fmax_(maxval, -minval);
-} /* minabsval */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="mindiff">-</a>
-
-  qh_mindif ( vecA, vecB, dim )
-    return index of min abs. difference of two vectors
-*/
-int qh_mindiff(realT *vecA, realT *vecB, int dim) {
-  realT mindiff= REALmax, diff;
-  realT *vecAp= vecA, *vecBp= vecB;
-  int k, mink= 0;
-
-  for (k=0; k < dim; k++) {
-    diff= *vecAp++ - *vecBp++;
-    diff= fabs_(diff);
-    if (diff < mindiff) {
-      mindiff= diff;
-      mink= k;
-    }
-  }
-  return mink;
-} /* mindiff */
-
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="orientoutside">-</a>
-
-  qh_orientoutside( facet  )
-    make facet outside oriented via qh.interior_point
-
-  returns:
-    True if facet reversed orientation.
-*/
-boolT qh_orientoutside(facetT *facet) {
-  int k;
-  realT dist;
-
-  qh_distplane(qh interior_point, facet, &dist);
-  if (dist > 0) {
-    for (k=qh hull_dim; k--; )
-      facet->normal[k]= -facet->normal[k];
-    facet->offset= -facet->offset;
-    return True;
-  }
-  return False;
-} /* orientoutside */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="outerinner">-</a>
-
-  qh_outerinner( facet, outerplane, innerplane  )
-    if facet and qh.maxoutdone (i.e., qh_check_maxout)
-      returns outer and inner plane for facet
-    else
-      returns maximum outer and inner plane
-    accounts for qh.JOGGLEmax
-
-  see:
-    qh_maxouter(), qh_check_bestdist(), qh_check_points()
-
-  notes:
-    outerplaner or innerplane may be NULL
-    facet is const
-    Does not error (QhullFacet)
-
-    includes qh.DISTround for actual points
-    adds another qh.DISTround if testing with floating point arithmetic
-*/
-void qh_outerinner(facetT *facet, realT *outerplane, realT *innerplane) {
-  realT dist, mindist;
-  vertexT *vertex, **vertexp;
-
-  if (outerplane) {
-    if (!qh_MAXoutside || !facet || !qh maxoutdone) {
-      *outerplane= qh_maxouter();       /* includes qh.DISTround */
-    }else { /* qh_MAXoutside ... */
-#if qh_MAXoutside
-      *outerplane= facet->maxoutside + qh DISTround;
-#endif
-
-    }
-    if (qh JOGGLEmax < REALmax/2)
-      *outerplane += qh JOGGLEmax * sqrt((realT)qh hull_dim);
-  }
-  if (innerplane) {
-    if (facet) {
-      mindist= REALmax;
-      FOREACHvertex_(facet->vertices) {
-        zinc_(Zdistio);
-        qh_distplane(vertex->point, facet, &dist);
-        minimize_(mindist, dist);
-      }
-      *innerplane= mindist - qh DISTround;
-    }else
-      *innerplane= qh min_vertex - qh DISTround;
-    if (qh JOGGLEmax < REALmax/2)
-      *innerplane -= qh JOGGLEmax * sqrt((realT)qh hull_dim);
-  }
-} /* outerinner */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="pointdist">-</a>
-
-  qh_pointdist( point1, point2, dim )
-    return distance between two points
-
-  notes:
-    returns distance squared if 'dim' is negative
-*/
-coordT qh_pointdist(pointT *point1, pointT *point2, int dim) {
-  coordT dist, diff;
-  int k;
-
-  dist= 0.0;
-  for (k= (dim > 0 ? dim : -dim); k--; ) {
-    diff= *point1++ - *point2++;
-    dist += diff * diff;
-  }
-  if (dim > 0)
-    return(sqrt(dist));
-  return dist;
-} /* pointdist */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="printmatrix">-</a>
-
-  qh_printmatrix( fp, string, rows, numrow, numcol )
-    print matrix to fp given by row vectors
-    print string as header
-
-  notes:
-    print a vector by qh_printmatrix(fp, "", &vect, 1, len)
-*/
-void qh_printmatrix(FILE *fp, const char *string, realT **rows, int numrow, int numcol) {
-  realT *rowp;
-  realT r; /*bug fix*/
-  int i,k;
-
-  qh_fprintf(fp, 9001, "%s\n", string);
-  for (i=0; i < numrow; i++) {
-    rowp= rows[i];
-    for (k=0; k < numcol; k++) {
-      r= *rowp++;
-      qh_fprintf(fp, 9002, "%6.3g ", r);
-    }
-    qh_fprintf(fp, 9003, "\n");
-  }
-} /* printmatrix */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="printpoints">-</a>
-
-  qh_printpoints( fp, string, points )
-    print pointids to fp for a set of points
-    if string, prints string and 'p' point ids
-*/
-void qh_printpoints(FILE *fp, const char *string, setT *points) {
-  pointT *point, **pointp;
-
-  if (string) {
-    qh_fprintf(fp, 9004, "%s", string);
-    FOREACHpoint_(points)
-      qh_fprintf(fp, 9005, " p%d", qh_pointid(point));
-    qh_fprintf(fp, 9006, "\n");
-  }else {
-    FOREACHpoint_(points)
-      qh_fprintf(fp, 9007, " %d", qh_pointid(point));
-    qh_fprintf(fp, 9008, "\n");
-  }
-} /* printpoints */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="projectinput">-</a>
-
-  qh_projectinput()
-    project input points using qh.lower_bound/upper_bound and qh DELAUNAY
-    if qh.lower_bound[k]=qh.upper_bound[k]= 0,
-      removes dimension k
-    if halfspace intersection
-      removes dimension k from qh.feasible_point
-    input points in qh first_point, num_points, input_dim
-
-  returns:
-    new point array in qh first_point of qh hull_dim coordinates
-    sets qh POINTSmalloc
-    if qh DELAUNAY
-      projects points to paraboloid
-      lowbound/highbound is also projected
-    if qh ATinfinity
-      adds point "at-infinity"
-    if qh POINTSmalloc
-      frees old point array
-
-  notes:
-    checks that qh.hull_dim agrees with qh.input_dim, PROJECTinput, and DELAUNAY
-
-
-  design:
-    sets project[k] to -1 (delete), 0 (keep), 1 (add for Delaunay)
-    determines newdim and newnum for qh hull_dim and qh num_points
-    projects points to newpoints
-    projects qh.lower_bound to itself
-    projects qh.upper_bound to itself
-    if qh DELAUNAY
-      if qh ATINFINITY
-        projects points to paraboloid
-        computes "infinity" point as vertex average and 10% above all points
-      else
-        uses qh_setdelaunay to project points to paraboloid
-*/
-void qh_projectinput(void) {
-  int k,i;
-  int newdim= qh input_dim, newnum= qh num_points;
-  signed char *project;
-  int size= (qh input_dim+1)*sizeof(*project);
-  pointT *newpoints, *coord, *infinity;
-  realT paraboloid, maxboloid= 0;
-
-  project= (signed char*)qh_memalloc(size);
-  memset((char*)project, 0, (size_t)size);
-  for (k=0; k < qh input_dim; k++) {   /* skip Delaunay bound */
-    if (qh lower_bound[k] == 0 && qh upper_bound[k] == 0) {
-      project[k]= -1;
-      newdim--;
-    }
-  }
-  if (qh DELAUNAY) {
-    project[k]= 1;
-    newdim++;
-    if (qh ATinfinity)
-      newnum++;
-  }
-  if (newdim != qh hull_dim) {
-    qh_fprintf(qh ferr, 6015, "qhull internal error (qh_projectinput): dimension after projection %d != hull_dim %d\n", newdim, qh hull_dim);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (!(newpoints=(coordT*)qh_malloc(newnum*newdim*sizeof(coordT)))){
-    qh_fprintf(qh ferr, 6016, "qhull error: insufficient memory to project %d points\n",
-           qh num_points);
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  qh_projectpoints(project, qh input_dim+1, qh first_point,
-                    qh num_points, qh input_dim, newpoints, newdim);
-  trace1((qh ferr, 1003, "qh_projectinput: updating lower and upper_bound\n"));
-  qh_projectpoints(project, qh input_dim+1, qh lower_bound,
-                    1, qh input_dim+1, qh lower_bound, newdim+1);
-  qh_projectpoints(project, qh input_dim+1, qh upper_bound,
-                    1, qh input_dim+1, qh upper_bound, newdim+1);
-  if (qh HALFspace) {
-    if (!qh feasible_point) {
-      qh_fprintf(qh ferr, 6017, "qhull internal error (qh_projectinput): HALFspace defined without qh.feasible_point\n");
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-    qh_projectpoints(project, qh input_dim, qh feasible_point,
-                      1, qh input_dim, qh feasible_point, newdim);
-  }
-  qh_memfree(project, (qh input_dim+1)*sizeof(*project));
-  if (qh POINTSmalloc)
-    qh_free(qh first_point);
-  qh first_point= newpoints;
-  qh POINTSmalloc= True;
-  if (qh DELAUNAY && qh ATinfinity) {
-    coord= qh first_point;
-    infinity= qh first_point + qh hull_dim * qh num_points;
-    for (k=qh hull_dim-1; k--; )
-      infinity[k]= 0.0;
-    for (i=qh num_points; i--; ) {
-      paraboloid= 0.0;
-      for (k=0; k < qh hull_dim-1; k++) {
-        paraboloid += *coord * *coord;
-        infinity[k] += *coord;
-        coord++;
-      }
-      *(coord++)= paraboloid;
-      maximize_(maxboloid, paraboloid);
-    }
-    /* coord == infinity */
-    for (k=qh hull_dim-1; k--; )
-      *(coord++) /= qh num_points;
-    *(coord++)= maxboloid * 1.1;
-    qh num_points++;
-    trace0((qh ferr, 9, "qh_projectinput: projected points to paraboloid for Delaunay\n"));
-  }else if (qh DELAUNAY)  /* !qh ATinfinity */
-    qh_setdelaunay( qh hull_dim, qh num_points, qh first_point);
-} /* projectinput */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="projectpoints">-</a>
-
-  qh_projectpoints( project, n, points, numpoints, dim, newpoints, newdim )
-    project points/numpoints/dim to newpoints/newdim
-    if project[k] == -1
-      delete dimension k
-    if project[k] == 1
-      add dimension k by duplicating previous column
-    n is size of project
-
-  notes:
-    newpoints may be points if only adding dimension at end
-
-  design:
-    check that 'project' and 'newdim' agree
-    for each dimension
-      if project == -1
-        skip dimension
-      else
-        determine start of column in newpoints
-        determine start of column in points
-          if project == +1, duplicate previous column
-        copy dimension (column) from points to newpoints
-*/
-void qh_projectpoints(signed char *project, int n, realT *points,
-        int numpoints, int dim, realT *newpoints, int newdim) {
-  int testdim= dim, oldk=0, newk=0, i,j=0,k;
-  realT *newp, *oldp;
-
-  for (k=0; k < n; k++)
-    testdim += project[k];
-  if (testdim != newdim) {
-    qh_fprintf(qh ferr, 6018, "qhull internal error (qh_projectpoints): newdim %d should be %d after projection\n",
-      newdim, testdim);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  for (j=0; j<n; j++) {
-    if (project[j] == -1)
-      oldk++;
-    else {
-      newp= newpoints+newk++;
-      if (project[j] == +1) {
-        if (oldk >= dim)
-          continue;
-        oldp= points+oldk;
-      }else
-        oldp= points+oldk++;
-      for (i=numpoints; i--; ) {
-        *newp= *oldp;
-        newp += newdim;
-        oldp += dim;
-      }
-    }
-    if (oldk >= dim)
-      break;
-  }
-  trace1((qh ferr, 1004, "qh_projectpoints: projected %d points from dim %d to dim %d\n",
-    numpoints, dim, newdim));
-} /* projectpoints */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="rotateinput">-</a>
-
-  qh_rotateinput( rows )
-    rotate input using row matrix
-    input points given by qh first_point, num_points, hull_dim
-    assumes rows[dim] is a scratch buffer
-    if qh POINTSmalloc, overwrites input points, else mallocs a new array
-
-  returns:
-    rotated input
-    sets qh POINTSmalloc
-
-  design:
-    see qh_rotatepoints
-*/
-void qh_rotateinput(realT **rows) {
-
-  if (!qh POINTSmalloc) {
-    qh first_point= qh_copypoints(qh first_point, qh num_points, qh hull_dim);
-    qh POINTSmalloc= True;
-  }
-  qh_rotatepoints(qh first_point, qh num_points, qh hull_dim, rows);
-}  /* rotateinput */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="rotatepoints">-</a>
-
-  qh_rotatepoints( points, numpoints, dim, row )
-    rotate numpoints points by a d-dim row matrix
-    assumes rows[dim] is a scratch buffer
-
-  returns:
-    rotated points in place
-
-  design:
-    for each point
-      for each coordinate
-        use row[dim] to compute partial inner product
-      for each coordinate
-        rotate by partial inner product
-*/
-void qh_rotatepoints(realT *points, int numpoints, int dim, realT **row) {
-  realT *point, *rowi, *coord= NULL, sum, *newval;
-  int i,j,k;
-
-  if (qh IStracing >= 1)
-    qh_printmatrix(qh ferr, "qh_rotatepoints: rotate points by", row, dim, dim);
-  for (point= points, j= numpoints; j--; point += dim) {
-    newval= row[dim];
-    for (i=0; i < dim; i++) {
-      rowi= row[i];
-      coord= point;
-      for (sum= 0.0, k= dim; k--; )
-        sum += *rowi++ * *coord++;
-      *(newval++)= sum;
-    }
-    for (k=dim; k--; )
-      *(--coord)= *(--newval);
-  }
-} /* rotatepoints */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="scaleinput">-</a>
-
-  qh_scaleinput()
-    scale input points using qh low_bound/high_bound
-    input points given by qh first_point, num_points, hull_dim
-    if qh POINTSmalloc, overwrites input points, else mallocs a new array
-
-  returns:
-    scales coordinates of points to low_bound[k], high_bound[k]
-    sets qh POINTSmalloc
-
-  design:
-    see qh_scalepoints
-*/
-void qh_scaleinput(void) {
-
-  if (!qh POINTSmalloc) {
-    qh first_point= qh_copypoints(qh first_point, qh num_points, qh hull_dim);
-    qh POINTSmalloc= True;
-  }
-  qh_scalepoints(qh first_point, qh num_points, qh hull_dim,
-       qh lower_bound, qh upper_bound);
-}  /* scaleinput */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="scalelast">-</a>
-
-  qh_scalelast( points, numpoints, dim, low, high, newhigh )
-    scale last coordinate to [0,m] for Delaunay triangulations
-    input points given by points, numpoints, dim
-
-  returns:
-    changes scale of last coordinate from [low, high] to [0, newhigh]
-    overwrites last coordinate of each point
-    saves low/high/newhigh in qh.last_low, etc. for qh_setdelaunay()
-
-  notes:
-    when called by qh_setdelaunay, low/high may not match actual data
-
-  design:
-    compute scale and shift factors
-    apply to last coordinate of each point
-*/
-void qh_scalelast(coordT *points, int numpoints, int dim, coordT low,
-                   coordT high, coordT newhigh) {
-  realT scale, shift;
-  coordT *coord;
-  int i;
-  boolT nearzero= False;
-
-  trace4((qh ferr, 4013, "qh_scalelast: scale last coordinate from [%2.2g, %2.2g] to [0,%2.2g]\n",
-    low, high, newhigh));
-  qh last_low= low;
-  qh last_high= high;
-  qh last_newhigh= newhigh;
-  scale= qh_divzero(newhigh, high - low,
-                  qh MINdenom_1, &nearzero);
-  if (nearzero) {
-    if (qh DELAUNAY)
-      qh_fprintf(qh ferr, 6019, "qhull input error: can not scale last coordinate.  Input is cocircular\n   or cospherical.   Use option 'Qz' to add a point at infinity.\n");
-    else
-      qh_fprintf(qh ferr, 6020, "qhull input error: can not scale last coordinate.  New bounds [0, %2.2g] are too wide for\nexisting bounds [%2.2g, %2.2g] (width %2.2g)\n",
-                newhigh, low, high, high-low);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  shift= - low * newhigh / (high-low);
-  coord= points + dim - 1;
-  for (i=numpoints; i--; coord += dim)
-    *coord= *coord * scale + shift;
-} /* scalelast */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="scalepoints">-</a>
-
-  qh_scalepoints( points, numpoints, dim, newlows, newhighs )
-    scale points to new lowbound and highbound
-    retains old bound when newlow= -REALmax or newhigh= +REALmax
-
-  returns:
-    scaled points
-    overwrites old points
-
-  design:
-    for each coordinate
-      compute current low and high bound
-      compute scale and shift factors
-      scale all points
-      enforce new low and high bound for all points
-*/
-void qh_scalepoints(pointT *points, int numpoints, int dim,
-        realT *newlows, realT *newhighs) {
-  int i,k;
-  realT shift, scale, *coord, low, high, newlow, newhigh, mincoord, maxcoord;
-  boolT nearzero= False;
-
-  for (k=0; k < dim; k++) {
-    newhigh= newhighs[k];
-    newlow= newlows[k];
-    if (newhigh > REALmax/2 && newlow < -REALmax/2)
-      continue;
-    low= REALmax;
-    high= -REALmax;
-    for (i=numpoints, coord=points+k; i--; coord += dim) {
-      minimize_(low, *coord);
-      maximize_(high, *coord);
-    }
-    if (newhigh > REALmax/2)
-      newhigh= high;
-    if (newlow < -REALmax/2)
-      newlow= low;
-    if (qh DELAUNAY && k == dim-1 && newhigh < newlow) {
-      qh_fprintf(qh ferr, 6021, "qhull input error: 'Qb%d' or 'QB%d' inverts paraboloid since high bound %.2g < low bound %.2g\n",
-               k, k, newhigh, newlow);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    scale= qh_divzero(newhigh - newlow, high - low,
-                  qh MINdenom_1, &nearzero);
-    if (nearzero) {
-      qh_fprintf(qh ferr, 6022, "qhull input error: %d'th dimension's new bounds [%2.2g, %2.2g] too wide for\nexisting bounds [%2.2g, %2.2g]\n",
-              k, newlow, newhigh, low, high);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    shift= (newlow * high - low * newhigh)/(high-low);
-    coord= points+k;
-    for (i=numpoints; i--; coord += dim)
-      *coord= *coord * scale + shift;
-    coord= points+k;
-    if (newlow < newhigh) {
-      mincoord= newlow;
-      maxcoord= newhigh;
-    }else {
-      mincoord= newhigh;
-      maxcoord= newlow;
-    }
-    for (i=numpoints; i--; coord += dim) {
-      minimize_(*coord, maxcoord);  /* because of roundoff error */
-      maximize_(*coord, mincoord);
-    }
-    trace0((qh ferr, 10, "qh_scalepoints: scaled %d'th coordinate [%2.2g, %2.2g] to [%.2g, %.2g] for %d points by %2.2g and shifted %2.2g\n",
-      k, low, high, newlow, newhigh, numpoints, scale, shift));
-  }
-} /* scalepoints */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="setdelaunay">-</a>
-
-  qh_setdelaunay( dim, count, points )
-    project count points to dim-d paraboloid for Delaunay triangulation
-
-    dim is one more than the dimension of the input set
-    assumes dim is at least 3 (i.e., at least a 2-d Delaunay triangulation)
-
-    points is a dim*count realT array.  The first dim-1 coordinates
-    are the coordinates of the first input point.  array[dim] is
-    the first coordinate of the second input point.  array[2*dim] is
-    the first coordinate of the third input point.
-
-    if qh.last_low defined (i.e., 'Qbb' called qh_scalelast)
-      calls qh_scalelast to scale the last coordinate the same as the other points
-
-  returns:
-    for each point
-      sets point[dim-1] to sum of squares of coordinates
-    scale points to 'Qbb' if needed
-
-  notes:
-    to project one point, use
-      qh_setdelaunay(qh hull_dim, 1, point)
-
-    Do not use options 'Qbk', 'QBk', or 'QbB' since they scale
-    the coordinates after the original projection.
-
-*/
-void qh_setdelaunay(int dim, int count, pointT *points) {
-  int i, k;
-  coordT *coordp, coord;
-  realT paraboloid;
-
-  trace0((qh ferr, 11, "qh_setdelaunay: project %d points to paraboloid for Delaunay triangulation\n", count));
-  coordp= points;
-  for (i=0; i < count; i++) {
-    coord= *coordp++;
-    paraboloid= coord*coord;
-    for (k=dim-2; k--; ) {
-      coord= *coordp++;
-      paraboloid += coord*coord;
-    }
-    *coordp++ = paraboloid;
-  }
-  if (qh last_low < REALmax/2)
-    qh_scalelast(points, count, dim, qh last_low, qh last_high, qh last_newhigh);
-} /* setdelaunay */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="sethalfspace">-</a>
-
-  qh_sethalfspace( dim, coords, nextp, normal, offset, feasible )
-    set point to dual of halfspace relative to feasible point
-    halfspace is normal coefficients and offset.
-
-  returns:
-    false if feasible point is outside of hull (error message already reported)
-    overwrites coordinates for point at dim coords
-    nextp= next point (coords)
-
-  design:
-    compute distance from feasible point to halfspace
-    divide each normal coefficient by -dist
-*/
-boolT qh_sethalfspace(int dim, coordT *coords, coordT **nextp,
-         coordT *normal, coordT *offset, coordT *feasible) {
-  coordT *normp= normal, *feasiblep= feasible, *coordp= coords;
-  realT dist;
-  realT r; /*bug fix*/
-  int k;
-  boolT zerodiv;
-
-  dist= *offset;
-  for (k=dim; k--; )
-    dist += *(normp++) * *(feasiblep++);
-  if (dist > 0)
-    goto LABELerroroutside;
-  normp= normal;
-  if (dist < -qh MINdenom) {
-    for (k=dim; k--; )
-      *(coordp++)= *(normp++) / -dist;
-  }else {
-    for (k=dim; k--; ) {
-      *(coordp++)= qh_divzero(*(normp++), -dist, qh MINdenom_1, &zerodiv);
-      if (zerodiv)
-        goto LABELerroroutside;
-    }
-  }
-  *nextp= coordp;
-  if (qh IStracing >= 4) {
-    qh_fprintf(qh ferr, 8021, "qh_sethalfspace: halfspace at offset %6.2g to point: ", *offset);
-    for (k=dim, coordp=coords; k--; ) {
-      r= *coordp++;
-      qh_fprintf(qh ferr, 8022, " %6.2g", r);
-    }
-    qh_fprintf(qh ferr, 8023, "\n");
-  }
-  return True;
-LABELerroroutside:
-  feasiblep= feasible;
-  normp= normal;
-  qh_fprintf(qh ferr, 6023, "qhull input error: feasible point is not clearly inside halfspace\nfeasible point: ");
-  for (k=dim; k--; )
-    qh_fprintf(qh ferr, 8024, qh_REAL_1, r=*(feasiblep++));
-  qh_fprintf(qh ferr, 8025, "\n     halfspace: ");
-  for (k=dim; k--; )
-    qh_fprintf(qh ferr, 8026, qh_REAL_1, r=*(normp++));
-  qh_fprintf(qh ferr, 8027, "\n     at offset: ");
-  qh_fprintf(qh ferr, 8028, qh_REAL_1, *offset);
-  qh_fprintf(qh ferr, 8029, " and distance: ");
-  qh_fprintf(qh ferr, 8030, qh_REAL_1, dist);
-  qh_fprintf(qh ferr, 8031, "\n");
-  return False;
-} /* sethalfspace */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="sethalfspace_all">-</a>
-
-  qh_sethalfspace_all( dim, count, halfspaces, feasible )
-    generate dual for halfspace intersection with feasible point
-    array of count halfspaces
-      each halfspace is normal coefficients followed by offset
-      the origin is inside the halfspace if the offset is negative
-
-  returns:
-    malloc'd array of count X dim-1 points
-
-  notes:
-    call before qh_init_B or qh_initqhull_globals
-    unused/untested code: please email bradb@shore.net if this works ok for you
-    If using option 'Fp', also set qh feasible_point. It is a malloc'd array
-      that is freed by qh_freebuffers.
-
-  design:
-    see qh_sethalfspace
-*/
-coordT *qh_sethalfspace_all(int dim, int count, coordT *halfspaces, pointT *feasible) {
-  int i, newdim;
-  pointT *newpoints;
-  coordT *coordp, *normalp, *offsetp;
-
-  trace0((qh ferr, 12, "qh_sethalfspace_all: compute dual for halfspace intersection\n"));
-  newdim= dim - 1;
-  if (!(newpoints=(coordT*)qh_malloc(count*newdim*sizeof(coordT)))){
-    qh_fprintf(qh ferr, 6024, "qhull error: insufficient memory to compute dual of %d halfspaces\n",
-          count);
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  coordp= newpoints;
-  normalp= halfspaces;
-  for (i=0; i < count; i++) {
-    offsetp= normalp + newdim;
-    if (!qh_sethalfspace(newdim, coordp, &coordp, normalp, offsetp, feasible)) {
-      qh_fprintf(qh ferr, 8032, "The halfspace was at index %d\n", i);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    normalp= offsetp + 1;
-  }
-  return newpoints;
-} /* sethalfspace_all */
-
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="sharpnewfacets">-</a>
-
-  qh_sharpnewfacets()
-
-  returns:
-    true if could be an acute angle (facets in different quadrants)
-
-  notes:
-    for qh_findbest
-
-  design:
-    for all facets on qh.newfacet_list
-      if two facets are in different quadrants
-        set issharp
-*/
-boolT qh_sharpnewfacets() {
-  facetT *facet;
-  boolT issharp = False;
-  int *quadrant, k;
-
-  quadrant= (int*)qh_memalloc(qh hull_dim * sizeof(int));
-  FORALLfacet_(qh newfacet_list) {
-    if (facet == qh newfacet_list) {
-      for (k=qh hull_dim; k--; )
-        quadrant[ k]= (facet->normal[ k] > 0);
-    }else {
-      for (k=qh hull_dim; k--; ) {
-        if (quadrant[ k] != (facet->normal[ k] > 0)) {
-          issharp= True;
-          break;
-        }
-      }
-    }
-    if (issharp)
-      break;
-  }
-  qh_memfree( quadrant, qh hull_dim * sizeof(int));
-  trace3((qh ferr, 3001, "qh_sharpnewfacets: %d\n", issharp));
-  return issharp;
-} /* sharpnewfacets */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="voronoi_center">-</a>
-
-  qh_voronoi_center( dim, points )
-    return Voronoi center for a set of points
-    dim is the orginal dimension of the points
-    gh.gm_matrix/qh.gm_row are scratch buffers
-
-  returns:
-    center as a temporary point
-    if non-simplicial,
-      returns center for max simplex of points
-
-  notes:
-    from Bowyer & Woodwark, A Programmer's Geometry, 1983, p. 65
-
-  design:
-    if non-simplicial
-      determine max simplex for points
-    translate point0 of simplex to origin
-    compute sum of squares of diagonal
-    compute determinate
-    compute Voronoi center (see Bowyer & Woodwark)
-*/
-pointT *qh_voronoi_center(int dim, setT *points) {
-  pointT *point, **pointp, *point0;
-  pointT *center= (pointT*)qh_memalloc(qh center_size);
-  setT *simplex;
-  int i, j, k, size= qh_setsize(points);
-  coordT *gmcoord;
-  realT *diffp, sum2, *sum2row, *sum2p, det, factor;
-  boolT nearzero, infinite;
-
-  if (size == dim+1)
-    simplex= points;
-  else if (size < dim+1) {
-    qh_fprintf(qh ferr, 6025, "qhull internal error (qh_voronoi_center):\n  need at least %d points to construct a Voronoi center\n",
-             dim+1);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-    simplex= points;  /* never executed -- avoids warning */
-  }else {
-    simplex= qh_settemp(dim+1);
-    qh_maxsimplex(dim, points, NULL, 0, &simplex);
-  }
-  point0= SETfirstt_(simplex, pointT);
-  gmcoord= qh gm_matrix;
-  for (k=0; k < dim; k++) {
-    qh gm_row[k]= gmcoord;
-    FOREACHpoint_(simplex) {
-      if (point != point0)
-        *(gmcoord++)= point[k] - point0[k];
-    }
-  }
-  sum2row= gmcoord;
-  for (i=0; i < dim; i++) {
-    sum2= 0.0;
-    for (k=0; k < dim; k++) {
-      diffp= qh gm_row[k] + i;
-      sum2 += *diffp * *diffp;
-    }
-    *(gmcoord++)= sum2;
-  }
-  det= qh_determinant(qh gm_row, dim, &nearzero);
-  factor= qh_divzero(0.5, det, qh MINdenom, &infinite);
-  if (infinite) {
-    for (k=dim; k--; )
-      center[k]= qh_INFINITE;
-    if (qh IStracing)
-      qh_printpoints(qh ferr, "qh_voronoi_center: at infinity for ", simplex);
-  }else {
-    for (i=0; i < dim; i++) {
-      gmcoord= qh gm_matrix;
-      sum2p= sum2row;
-      for (k=0; k < dim; k++) {
-        qh gm_row[k]= gmcoord;
-        if (k == i) {
-          for (j=dim; j--; )
-            *(gmcoord++)= *sum2p++;
-        }else {
-          FOREACHpoint_(simplex) {
-            if (point != point0)
-              *(gmcoord++)= point[k] - point0[k];
-          }
-        }
-      }
-      center[i]= qh_determinant(qh gm_row, dim, &nearzero)*factor + point0[i];
-    }
-#ifndef qh_NOtrace
-    if (qh IStracing >= 3) {
-      qh_fprintf(qh ferr, 8033, "qh_voronoi_center: det %2.2g factor %2.2g ", det, factor);
-      qh_printmatrix(qh ferr, "center:", &center, 1, dim);
-      if (qh IStracing >= 5) {
-        qh_printpoints(qh ferr, "points", simplex);
-        FOREACHpoint_(simplex)
-          qh_fprintf(qh ferr, 8034, "p%d dist %.2g, ", qh_pointid(point),
-                   qh_pointdist(point, center, dim));
-        qh_fprintf(qh ferr, 8035, "\n");
-      }
-    }
-#endif
-  }
-  if (simplex != points)
-    qh_settempfree(&simplex);
-  return center;
-} /* voronoi_center */
diff --git a/extern/qhull/global.c b/extern/qhull/global.c
deleted file mode 100644
index 90f956d7e885..000000000000
--- a/extern/qhull/global.c
+++ /dev/null
@@ -1,2126 +0,0 @@
-
-/*<html><pre>  -<a                             href="qh-globa.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   global.c
-   initializes all the globals of the qhull application
-
-   see README
-
-   see libqhull.h for qh.globals and function prototypes
-
-   see qhull_a.h for internal functions
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/global.c#15 $$Change: 1490 $
-   $DateTime: 2012/02/19 20:27:01 $$Author: bbarber $
- */
-
-#include "qhull_a.h"
-
-/*========= qh definition -- globals defined in libqhull.h =======================*/
-
-int qhull_inuse= 0; /* not used */
-
-#if qh_QHpointer
-qhT *qh_qh= NULL;       /* pointer to all global variables */
-#else
-qhT qh_qh;              /* all global variables.
-                           Add "= {0}" if this causes a compiler error.
-                           Also qh_qhstat in stat.c and qhmem in mem.c.  */
-#endif
-
-/*-<a                             href  ="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh_version">-</a>
-
-  qh_version
-    version string by year and date
-
-    the revision increases on code changes only
-
-  notes:
-    change date:    Changes.txt, Announce.txt, index.htm, README.txt,
-                    qhull-news.html, Eudora signatures, CMakeLists.txt
-    change version: README.txt, qh-get.htm, File_id.diz, Makefile.txt
-    change year:    Copying.txt
-    check download size
-    recompile user_eg.c, rbox.c, libqhull.c, qconvex.c, qdelaun.c qvoronoi.c, qhalf.c, testqset.c
-*/
-
-const char *qh_version = "2012.1 2012/02/18";
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="appendprint">-</a>
-
-  qh_appendprint( printFormat )
-    append printFormat to qh.PRINTout unless already defined
-*/
-void qh_appendprint(qh_PRINT format) {
-  int i;
-
-  for (i=0; i < qh_PRINTEND; i++) {
-    if (qh PRINTout[i] == format && format != qh_PRINTqhull)
-      break;
-    if (!qh PRINTout[i]) {
-      qh PRINTout[i]= format;
-      break;
-    }
-  }
-} /* appendprint */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="checkflags">-</a>
-
-  qh_checkflags( commandStr, hiddenFlags )
-    errors if commandStr contains hiddenFlags
-    hiddenFlags starts and ends with a space and is space deliminated (checked)
-
-  notes:
-    ignores first word (e.g., "qconvex i")
-    use qh_strtol/strtod since strtol/strtod may or may not skip trailing spaces
-
-  see:
-    qh_initflags() initializes Qhull according to commandStr
-*/
-void qh_checkflags(char *command, char *hiddenflags) {
-  char *s= command, *t, *chkerr; /* qh_skipfilename is non-const */
-  char key, opt, prevopt;
-  char chkkey[]= "   ";
-  char chkopt[]=  "    ";
-  char chkopt2[]= "     ";
-  boolT waserr= False;
-
-  if (*hiddenflags != ' ' || hiddenflags[strlen(hiddenflags)-1] != ' ') {
-    qh_fprintf(qh ferr, 6026, "qhull error (qh_checkflags): hiddenflags must start and end with a space: \"%s\"", hiddenflags);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (strpbrk(hiddenflags, ",\n\r\t")) {
-    qh_fprintf(qh ferr, 6027, "qhull error (qh_checkflags): hiddenflags contains commas, newlines, or tabs: \"%s\"", hiddenflags);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  while (*s && !isspace(*s))  /* skip program name */
-    s++;
-  while (*s) {
-    while (*s && isspace(*s))
-      s++;
-    if (*s == '-')
-      s++;
-    if (!*s)
-      break;
-    key = *s++;
-    chkerr = NULL;
-    if (key == 'T' && (*s == 'I' || *s == 'O')) {  /* TI or TO 'file name' */
-      s= qh_skipfilename(++s);
-      continue;
-    }
-    chkkey[1]= key;
-    if (strstr(hiddenflags, chkkey)) {
-      chkerr= chkkey;
-    }else if (isupper(key)) {
-      opt= ' ';
-      prevopt= ' ';
-      chkopt[1]= key;
-      chkopt2[1]= key;
-      while (!chkerr && *s && !isspace(*s)) {
-        opt= *s++;
-        if (isalpha(opt)) {
-          chkopt[2]= opt;
-          if (strstr(hiddenflags, chkopt))
-            chkerr= chkopt;
-          if (prevopt != ' ') {
-            chkopt2[2]= prevopt;
-            chkopt2[3]= opt;
-            if (strstr(hiddenflags, chkopt2))
-              chkerr= chkopt2;
-          }
-        }else if (key == 'Q' && isdigit(opt) && prevopt != 'b'
-              && (prevopt == ' ' || islower(prevopt))) {
-            chkopt[2]= opt;
-            if (strstr(hiddenflags, chkopt))
-              chkerr= chkopt;
-        }else {
-          qh_strtod(s-1, &t);
-          if (s < t)
-            s= t;
-        }
-        prevopt= opt;
-      }
-    }
-    if (chkerr) {
-      *chkerr= '\'';
-      chkerr[strlen(chkerr)-1]=  '\'';
-      qh_fprintf(qh ferr, 6029, "qhull error: option %s is not used with this program.\n             It may be used with qhull.\n", chkerr);
-      waserr= True;
-    }
-  }
-  if (waserr)
-    qh_errexit(qh_ERRinput, NULL, NULL);
-} /* checkflags */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="qh_clear_outputflags">-</a>
-
-  qh_clear_outputflags()
-    Clear output flags for QhullPoints
-*/
-void qh_clear_outputflags(void) {
-  int i,k;
-
-  qh ANNOTATEoutput= False;
-  qh DOintersections= False;
-  qh DROPdim= -1;
-  qh FORCEoutput= False;
-  qh GETarea= False;
-  qh GOODpoint= 0;
-  qh GOODpointp= NULL;
-  qh GOODthreshold= False;
-  qh GOODvertex= 0;
-  qh GOODvertexp= NULL;
-  qh IStracing= 0;
-  qh KEEParea= False;
-  qh KEEPmerge= False;
-  qh KEEPminArea= REALmax;
-  qh PRINTcentrums= False;
-  qh PRINTcoplanar= False;
-  qh PRINTdots= False;
-  qh PRINTgood= False;
-  qh PRINTinner= False;
-  qh PRINTneighbors= False;
-  qh PRINTnoplanes= False;
-  qh PRINToptions1st= False;
-  qh PRINTouter= False;
-  qh PRINTprecision= True;
-  qh PRINTridges= False;
-  qh PRINTspheres= False;
-  qh PRINTstatistics= False;
-  qh PRINTsummary= False;
-  qh PRINTtransparent= False;
-  qh SPLITthresholds= False;
-  qh TRACElevel= 0;
-  qh TRInormals= False;
-  qh USEstdout= False;
-  qh VERIFYoutput= False;
-  for (k=qh input_dim+1; k--; ) {  /* duplicated in qh_initqhull_buffers and qh_clear_ouputflags */
-    qh lower_threshold[k]= -REALmax;
-    qh upper_threshold[k]= REALmax;
-    qh lower_bound[k]= -REALmax;
-    qh upper_bound[k]= REALmax;
-  }
-
-  for (i=0; i < qh_PRINTEND; i++) {
-    qh PRINTout[i]= qh_PRINTnone;
-  }
-
-  if (!qh qhull_commandsiz2)
-      qh qhull_commandsiz2= (int)strlen(qh qhull_command); /* WARN64 */
-  else {
-      qh qhull_command[qh qhull_commandsiz2]= '\0';
-  }
-  if (!qh qhull_optionsiz2)
-    qh qhull_optionsiz2= (int)strlen(qh qhull_options);  /* WARN64 */
-  else {
-    qh qhull_options[qh qhull_optionsiz2]= '\0';
-    qh qhull_optionlen= qh_OPTIONline;  /* start a new line */
-  }
-} /* clear_outputflags */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="clock">-</a>
-
-  qh_clock()
-    return user CPU time in 100ths (qh_SECtick)
-    only defined for qh_CLOCKtype == 2
-
-  notes:
-    use first value to determine time 0
-    from Stevens '92 8.15
-*/
-unsigned long qh_clock(void) {
-
-#if (qh_CLOCKtype == 2)
-  struct tms time;
-  static long clktck;  /* initialized first call */
-  double ratio, cpu;
-  unsigned long ticks;
-
-  if (!clktck) {
-    if ((clktck= sysconf(_SC_CLK_TCK)) < 0) {
-      qh_fprintf(qh ferr, 6030, "qhull internal error (qh_clock): sysconf() failed.  Use qh_CLOCKtype 1 in user.h\n");
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-  }
-  if (times(&time) == -1) {
-    qh_fprintf(qh ferr, 6031, "qhull internal error (qh_clock): times() failed.  Use qh_CLOCKtype 1 in user.h\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  ratio= qh_SECticks / (double)clktck;
-  ticks= time.tms_utime * ratio;
-  return ticks;
-#else
-  qh_fprintf(qh ferr, 6032, "qhull internal error (qh_clock): use qh_CLOCKtype 2 in user.h\n");
-  qh_errexit(qh_ERRqhull, NULL, NULL); /* never returns */
-  return 0;
-#endif
-} /* clock */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="freebuffers">-</a>
-
-  qh_freebuffers()
-    free up global memory buffers
-
-  notes:
-    must match qh_initbuffers()
-*/
-void qh_freebuffers(void) {
-
-  trace5((qh ferr, 5001, "qh_freebuffers: freeing up global memory buffers\n"));
-  /* allocated by qh_initqhull_buffers */
-  qh_memfree(qh NEARzero, qh hull_dim * sizeof(realT));
-  qh_memfree(qh lower_threshold, (qh input_dim+1) * sizeof(realT));
-  qh_memfree(qh upper_threshold, (qh input_dim+1) * sizeof(realT));
-  qh_memfree(qh lower_bound, (qh input_dim+1) * sizeof(realT));
-  qh_memfree(qh upper_bound, (qh input_dim+1) * sizeof(realT));
-  qh_memfree(qh gm_matrix, (qh hull_dim+1) * qh hull_dim * sizeof(coordT));
-  qh_memfree(qh gm_row, (qh hull_dim+1) * sizeof(coordT *));
-  qh NEARzero= qh lower_threshold= qh upper_threshold= NULL;
-  qh lower_bound= qh upper_bound= NULL;
-  qh gm_matrix= NULL;
-  qh gm_row= NULL;
-  qh_setfree(&qh other_points);
-  qh_setfree(&qh del_vertices);
-  qh_setfree(&qh coplanarfacetset);
-  if (qh line)                /* allocated by qh_readinput, freed if no error */
-    qh_free(qh line);
-  if (qh half_space)
-    qh_free(qh half_space);
-  if (qh temp_malloc)
-    qh_free(qh temp_malloc);
-  if (qh feasible_point)      /* allocated by qh_readfeasible */
-    qh_free(qh feasible_point);
-  if (qh feasible_string)     /* allocated by qh_initflags */
-    qh_free(qh feasible_string);
-  qh line= qh feasible_string= NULL;
-  qh half_space= qh feasible_point= qh temp_malloc= NULL;
-  /* usually allocated by qh_readinput */
-  if (qh first_point && qh POINTSmalloc) {
-    qh_free(qh first_point);
-    qh first_point= NULL;
-  }
-  if (qh input_points && qh input_malloc) { /* set by qh_joggleinput */
-    qh_free(qh input_points);
-    qh input_points= NULL;
-  }
-  trace5((qh ferr, 5002, "qh_freebuffers: finished\n"));
-} /* freebuffers */
-
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="freebuild">-</a>
-
-  qh_freebuild( allmem )
-    free global memory used by qh_initbuild and qh_buildhull
-    if !allmem,
-      does not free short memory (e.g., facetT, freed by qh_memfreeshort)
-
-  design:
-    free centrums
-    free each vertex
-    mark unattached ridges
-    for each facet
-      free ridges
-      free outside set, coplanar set, neighbor set, ridge set, vertex set
-      free facet
-    free hash table
-    free interior point
-    free merge set
-    free temporary sets
-*/
-void qh_freebuild(boolT allmem) {
-  facetT *facet;
-  vertexT *vertex;
-  ridgeT *ridge, **ridgep;
-  mergeT *merge, **mergep;
-
-  trace1((qh ferr, 1005, "qh_freebuild: free memory from qh_inithull and qh_buildhull\n"));
-  if (qh del_vertices)
-    qh_settruncate(qh del_vertices, 0);
-  if (allmem) {
-    while ((vertex= qh vertex_list)) {
-      if (vertex->next)
-        qh_delvertex(vertex);
-      else {
-        qh_memfree(vertex, (int)sizeof(vertexT));
-        qh newvertex_list= qh vertex_list= NULL;
-      }
-    }
-  }else if (qh VERTEXneighbors) {
-    FORALLvertices
-      qh_setfreelong(&(vertex->neighbors));
-  }
-  qh VERTEXneighbors= False;
-  qh GOODclosest= NULL;
-  if (allmem) {
-    FORALLfacets {
-      FOREACHridge_(facet->ridges)
-        ridge->seen= False;
-    }
-    FORALLfacets {
-      if (facet->visible) {
-        FOREACHridge_(facet->ridges) {
-          if (!otherfacet_(ridge, facet)->visible)
-            ridge->seen= True;  /* an unattached ridge */
-        }
-      }
-    }
-    while ((facet= qh facet_list)) {
-      FOREACHridge_(facet->ridges) {
-        if (ridge->seen) {
-          qh_setfree(&(ridge->vertices));
-          qh_memfree(ridge, (int)sizeof(ridgeT));
-        }else
-          ridge->seen= True;
-      }
-      qh_setfree(&(facet->outsideset));
-      qh_setfree(&(facet->coplanarset));
-      qh_setfree(&(facet->neighbors));
-      qh_setfree(&(facet->ridges));
-      qh_setfree(&(facet->vertices));
-      if (facet->next)
-        qh_delfacet(facet);
-      else {
-        qh_memfree(facet, (int)sizeof(facetT));
-        qh visible_list= qh newfacet_list= qh facet_list= NULL;
-      }
-    }
-  }else {
-    FORALLfacets {
-      qh_setfreelong(&(facet->outsideset));
-      qh_setfreelong(&(facet->coplanarset));
-      if (!facet->simplicial) {
-        qh_setfreelong(&(facet->neighbors));
-        qh_setfreelong(&(facet->ridges));
-        qh_setfreelong(&(facet->vertices));
-      }
-    }
-  }
-  qh_setfree(&(qh hash_table));
-  qh_memfree(qh interior_point, qh normal_size);
-  qh interior_point= NULL;
-  FOREACHmerge_(qh facet_mergeset)  /* usually empty */
-    qh_memfree(merge, (int)sizeof(mergeT));
-  qh facet_mergeset= NULL;  /* temp set */
-  qh degen_mergeset= NULL;  /* temp set */
-  qh_settempfree_all();
-} /* freebuild */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="freeqhull">-</a>
-
-  qh_freeqhull( allmem )
-    see qh_freeqhull2
-    if qh_QHpointer, frees qh_qh
-*/
-void qh_freeqhull(boolT allmem) {
-    qh_freeqhull2(allmem);
-#if qh_QHpointer
-    qh_free(qh_qh);
-    qh_qh= NULL;
-#endif
-}
-
-/*-<a                             href="qh-globa.htm#TOC"
->-------------------------------</a><a name="freeqhull2">-</a>
-
-qh_freeqhull2( allmem )
-  free global memory
-  if !allmem,
-    does not free short memory (freed by qh_memfreeshort)
-
-notes:
-  sets qh.NOerrexit in case caller forgets to
-
-see:
-  see qh_initqhull_start2()
-
-design:
-  free global and temporary memory from qh_initbuild and qh_buildhull
-  free buffers
-  free statistics
-*/
-void qh_freeqhull2(boolT allmem) {
-
-  trace1((qh ferr, 1006, "qh_freeqhull2: free global memory\n"));
-  qh NOerrexit= True;  /* no more setjmp since called at exit and ~QhullQh */
-  qh_freebuild(allmem);
-  qh_freebuffers();
-  qh_freestatistics();
-#if qh_QHpointer
-  memset((char *)qh_qh, 0, sizeof(qhT));
-  /* qh_qh freed by caller, qh_freeqhull() */
-#else
-  memset((char *)&qh_qh, 0, sizeof(qhT));
-#endif
-  qh NOerrexit= True;
-} /* freeqhull2 */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="init_A">-</a>
-
-  qh_init_A( infile, outfile, errfile, argc, argv )
-    initialize memory and stdio files
-    convert input options to option string (qh.qhull_command)
-
-  notes:
-    infile may be NULL if qh_readpoints() is not called
-
-    errfile should always be defined.  It is used for reporting
-    errors.  outfile is used for output and format options.
-
-    argc/argv may be 0/NULL
-
-    called before error handling initialized
-    qh_errexit() may not be used
-*/
-void qh_init_A(FILE *infile, FILE *outfile, FILE *errfile, int argc, char *argv[]) {
-  qh_meminit(errfile);
-  qh_initqhull_start(infile, outfile, errfile);
-  qh_init_qhull_command(argc, argv);
-} /* init_A */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="init_B">-</a>
-
-  qh_init_B( points, numpoints, dim, ismalloc )
-    initialize globals for points array
-
-    points has numpoints dim-dimensional points
-      points[0] is the first coordinate of the first point
-      points[1] is the second coordinate of the first point
-      points[dim] is the first coordinate of the second point
-
-    ismalloc=True
-      Qhull will call qh_free(points) on exit or input transformation
-    ismalloc=False
-      Qhull will allocate a new point array if needed for input transformation
-
-    qh.qhull_command
-      is the option string.
-      It is defined by qh_init_B(), qh_qhull_command(), or qh_initflags
-
-  returns:
-    if qh.PROJECTinput or (qh.DELAUNAY and qh.PROJECTdelaunay)
-      projects the input to a new point array
-
-        if qh.DELAUNAY,
-          qh.hull_dim is increased by one
-        if qh.ATinfinity,
-          qh_projectinput adds point-at-infinity for Delaunay tri.
-
-    if qh.SCALEinput
-      changes the upper and lower bounds of the input, see qh_scaleinput()
-
-    if qh.ROTATEinput
-      rotates the input by a random rotation, see qh_rotateinput()
-      if qh.DELAUNAY
-        rotates about the last coordinate
-
-  notes:
-    called after points are defined
-    qh_errexit() may be used
-*/
-void qh_init_B(coordT *points, int numpoints, int dim, boolT ismalloc) {
-  qh_initqhull_globals(points, numpoints, dim, ismalloc);
-  if (qhmem.LASTsize == 0)
-    qh_initqhull_mem();
-  /* mem.c and qset.c are initialized */
-  qh_initqhull_buffers();
-  qh_initthresholds(qh qhull_command);
-  if (qh PROJECTinput || (qh DELAUNAY && qh PROJECTdelaunay))
-    qh_projectinput();
-  if (qh SCALEinput)
-    qh_scaleinput();
-  if (qh ROTATErandom >= 0) {
-    qh_randommatrix(qh gm_matrix, qh hull_dim, qh gm_row);
-    if (qh DELAUNAY) {
-      int k, lastk= qh hull_dim-1;
-      for (k=0; k < lastk; k++) {
-        qh gm_row[k][lastk]= 0.0;
-        qh gm_row[lastk][k]= 0.0;
-      }
-      qh gm_row[lastk][lastk]= 1.0;
-    }
-    qh_gram_schmidt(qh hull_dim, qh gm_row);
-    qh_rotateinput(qh gm_row);
-  }
-} /* init_B */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="init_qhull_command">-</a>
-
-  qh_init_qhull_command( argc, argv )
-    build qh.qhull_command from argc/argv
-
-  returns:
-    a space-delimited string of options (just as typed)
-
-  notes:
-    makes option string easy to input and output
-
-    argc/argv may be 0/NULL
-*/
-void qh_init_qhull_command(int argc, char *argv[]) {
-
-  if (!qh_argv_to_command(argc, argv, qh qhull_command, (int)sizeof(qh qhull_command))){
-    /* Assumes qh.ferr is defined. */
-    qh_fprintf(qh ferr, 6033, "qhull input error: more than %d characters in command line\n",
-          (int)sizeof(qh qhull_command));
-    qh_exit(qh_ERRinput);  /* error reported, can not use qh_errexit */
-  }
-} /* init_qhull_command */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initflags">-</a>
-
-  qh_initflags( commandStr )
-    set flags and initialized constants from commandStr
-
-  returns:
-    sets qh.qhull_command to command if needed
-
-  notes:
-    ignores first word (e.g., "qhull d")
-    use qh_strtol/strtod since strtol/strtod may or may not skip trailing spaces
-
-  see:
-    qh_initthresholds() continues processing of 'Pdn' and 'PDn'
-    'prompt' in unix.c for documentation
-
-  design:
-    for each space-deliminated option group
-      if top-level option
-        check syntax
-        append approriate option to option string
-        set appropriate global variable or append printFormat to print options
-      else
-        for each sub-option
-          check syntax
-          append approriate option to option string
-          set appropriate global variable or append printFormat to print options
-*/
-void qh_initflags(char *command) {
-  int k, i, lastproject;
-  char *s= command, *t, *prev_s, *start, key;
-  boolT isgeom= False, wasproject;
-  realT r;
-
-  if (command <= &qh qhull_command[0] || command > &qh qhull_command[0] + sizeof(qh qhull_command)) {
-    if (command != &qh qhull_command[0]) {
-      *qh qhull_command= '\0';
-      strncat(qh qhull_command, command, sizeof(qh qhull_command)-strlen(qh qhull_command)-1);
-    }
-    while (*s && !isspace(*s))  /* skip program name */
-      s++;
-  }
-  while (*s) {
-    while (*s && isspace(*s))
-      s++;
-    if (*s == '-')
-      s++;
-    if (!*s)
-      break;
-    prev_s= s;
-    switch (*s++) {
-    case 'd':
-      qh_option("delaunay", NULL, NULL);
-      qh DELAUNAY= True;
-      break;
-    case 'f':
-      qh_option("facets", NULL, NULL);
-      qh_appendprint(qh_PRINTfacets);
-      break;
-    case 'i':
-      qh_option("incidence", NULL, NULL);
-      qh_appendprint(qh_PRINTincidences);
-      break;
-    case 'm':
-      qh_option("mathematica", NULL, NULL);
-      qh_appendprint(qh_PRINTmathematica);
-      break;
-    case 'n':
-      qh_option("normals", NULL, NULL);
-      qh_appendprint(qh_PRINTnormals);
-      break;
-    case 'o':
-      qh_option("offFile", NULL, NULL);
-      qh_appendprint(qh_PRINToff);
-      break;
-    case 'p':
-      qh_option("points", NULL, NULL);
-      qh_appendprint(qh_PRINTpoints);
-      break;
-    case 's':
-      qh_option("summary", NULL, NULL);
-      qh PRINTsummary= True;
-      break;
-    case 'v':
-      qh_option("voronoi", NULL, NULL);
-      qh VORONOI= True;
-      qh DELAUNAY= True;
-      break;
-    case 'A':
-      if (!isdigit(*s) && *s != '.' && *s != '-')
-        qh_fprintf(qh ferr, 7002, "qhull warning: no maximum cosine angle given for option 'An'.  Ignored.\n");
-      else {
-        if (*s == '-') {
-          qh premerge_cos= -qh_strtod(s, &s);
-          qh_option("Angle-premerge-", NULL, &qh premerge_cos);
-          qh PREmerge= True;
-        }else {
-          qh postmerge_cos= qh_strtod(s, &s);
-          qh_option("Angle-postmerge", NULL, &qh postmerge_cos);
-          qh POSTmerge= True;
-        }
-        qh MERGING= True;
-      }
-      break;
-    case 'C':
-      if (!isdigit(*s) && *s != '.' && *s != '-')
-        qh_fprintf(qh ferr, 7003, "qhull warning: no centrum radius given for option 'Cn'.  Ignored.\n");
-      else {
-        if (*s == '-') {
-          qh premerge_centrum= -qh_strtod(s, &s);
-          qh_option("Centrum-premerge-", NULL, &qh premerge_centrum);
-          qh PREmerge= True;
-        }else {
-          qh postmerge_centrum= qh_strtod(s, &s);
-          qh_option("Centrum-postmerge", NULL, &qh postmerge_centrum);
-          qh POSTmerge= True;
-        }
-        qh MERGING= True;
-      }
-      break;
-    case 'E':
-      if (*s == '-')
-        qh_fprintf(qh ferr, 7004, "qhull warning: negative maximum roundoff given for option 'An'.  Ignored.\n");
-      else if (!isdigit(*s))
-        qh_fprintf(qh ferr, 7005, "qhull warning: no maximum roundoff given for option 'En'.  Ignored.\n");
-      else {
-        qh DISTround= qh_strtod(s, &s);
-        qh_option("Distance-roundoff", NULL, &qh DISTround);
-        qh SETroundoff= True;
-      }
-      break;
-    case 'H':
-      start= s;
-      qh HALFspace= True;
-      qh_strtod(s, &t);
-      while (t > s)  {
-        if (*t && !isspace(*t)) {
-          if (*t == ',')
-            t++;
-          else
-            qh_fprintf(qh ferr, 7006, "qhull warning: origin for Halfspace intersection should be 'Hn,n,n,...'\n");
-        }
-        s= t;
-        qh_strtod(s, &t);
-      }
-      if (start < t) {
-        if (!(qh feasible_string= (char*)calloc((size_t)(t-start+1), (size_t)1))) {
-          qh_fprintf(qh ferr, 6034, "qhull error: insufficient memory for 'Hn,n,n'\n");
-          qh_errexit(qh_ERRmem, NULL, NULL);
-        }
-        strncpy(qh feasible_string, start, (size_t)(t-start));
-        qh_option("Halfspace-about", NULL, NULL);
-        qh_option(qh feasible_string, NULL, NULL);
-      }else
-        qh_option("Halfspace", NULL, NULL);
-      break;
-    case 'R':
-      if (!isdigit(*s))
-        qh_fprintf(qh ferr, 7007, "qhull warning: missing random perturbation for option 'Rn'.  Ignored\n");
-      else {
-        qh RANDOMfactor= qh_strtod(s, &s);
-        qh_option("Random_perturb", NULL, &qh RANDOMfactor);
-        qh RANDOMdist= True;
-      }
-      break;
-    case 'V':
-      if (!isdigit(*s) && *s != '-')
-        qh_fprintf(qh ferr, 7008, "qhull warning: missing visible distance for option 'Vn'.  Ignored\n");
-      else {
-        qh MINvisible= qh_strtod(s, &s);
-        qh_option("Visible", NULL, &qh MINvisible);
-      }
-      break;
-    case 'U':
-      if (!isdigit(*s) && *s != '-')
-        qh_fprintf(qh ferr, 7009, "qhull warning: missing coplanar distance for option 'Un'.  Ignored\n");
-      else {
-        qh MAXcoplanar= qh_strtod(s, &s);
-        qh_option("U-coplanar", NULL, &qh MAXcoplanar);
-      }
-      break;
-    case 'W':
-      if (*s == '-')
-        qh_fprintf(qh ferr, 7010, "qhull warning: negative outside width for option 'Wn'.  Ignored.\n");
-      else if (!isdigit(*s))
-        qh_fprintf(qh ferr, 7011, "qhull warning: missing outside width for option 'Wn'.  Ignored\n");
-      else {
-        qh MINoutside= qh_strtod(s, &s);
-        qh_option("W-outside", NULL, &qh MINoutside);
-        qh APPROXhull= True;
-      }
-      break;
-    /************  sub menus ***************/
-    case 'F':
-      while (*s && !isspace(*s)) {
-        switch (*s++) {
-        case 'a':
-          qh_option("Farea", NULL, NULL);
-          qh_appendprint(qh_PRINTarea);
-          qh GETarea= True;
-          break;
-        case 'A':
-          qh_option("FArea-total", NULL, NULL);
-          qh GETarea= True;
-          break;
-        case 'c':
-          qh_option("Fcoplanars", NULL, NULL);
-          qh_appendprint(qh_PRINTcoplanars);
-          break;
-        case 'C':
-          qh_option("FCentrums", NULL, NULL);
-          qh_appendprint(qh_PRINTcentrums);
-          break;
-        case 'd':
-          qh_option("Fd-cdd-in", NULL, NULL);
-          qh CDDinput= True;
-          break;
-        case 'D':
-          qh_option("FD-cdd-out", NULL, NULL);
-          qh CDDoutput= True;
-          break;
-        case 'F':
-          qh_option("FFacets-xridge", NULL, NULL);
-          qh_appendprint(qh_PRINTfacets_xridge);
-          break;
-        case 'i':
-          qh_option("Finner", NULL, NULL);
-          qh_appendprint(qh_PRINTinner);
-          break;
-        case 'I':
-          qh_option("FIDs", NULL, NULL);
-          qh_appendprint(qh_PRINTids);
-          break;
-        case 'm':
-          qh_option("Fmerges", NULL, NULL);
-          qh_appendprint(qh_PRINTmerges);
-          break;
-        case 'M':
-          qh_option("FMaple", NULL, NULL);
-          qh_appendprint(qh_PRINTmaple);
-          break;
-        case 'n':
-          qh_option("Fneighbors", NULL, NULL);
-          qh_appendprint(qh_PRINTneighbors);
-          break;
-        case 'N':
-          qh_option("FNeighbors-vertex", NULL, NULL);
-          qh_appendprint(qh_PRINTvneighbors);
-          break;
-        case 'o':
-          qh_option("Fouter", NULL, NULL);
-          qh_appendprint(qh_PRINTouter);
-          break;
-        case 'O':
-          if (qh PRINToptions1st) {
-            qh_option("FOptions", NULL, NULL);
-            qh_appendprint(qh_PRINToptions);
-          }else
-            qh PRINToptions1st= True;
-          break;
-        case 'p':
-          qh_option("Fpoint-intersect", NULL, NULL);
-          qh_appendprint(qh_PRINTpointintersect);
-          break;
-        case 'P':
-          qh_option("FPoint-nearest", NULL, NULL);
-          qh_appendprint(qh_PRINTpointnearest);
-          break;
-        case 'Q':
-          qh_option("FQhull", NULL, NULL);
-          qh_appendprint(qh_PRINTqhull);
-          break;
-        case 's':
-          qh_option("Fsummary", NULL, NULL);
-          qh_appendprint(qh_PRINTsummary);
-          break;
-        case 'S':
-          qh_option("FSize", NULL, NULL);
-          qh_appendprint(qh_PRINTsize);
-          qh GETarea= True;
-          break;
-        case 't':
-          qh_option("Ftriangles", NULL, NULL);
-          qh_appendprint(qh_PRINTtriangles);
-          break;
-        case 'v':
-          /* option set in qh_initqhull_globals */
-          qh_appendprint(qh_PRINTvertices);
-          break;
-        case 'V':
-          qh_option("FVertex-average", NULL, NULL);
-          qh_appendprint(qh_PRINTaverage);
-          break;
-        case 'x':
-          qh_option("Fxtremes", NULL, NULL);
-          qh_appendprint(qh_PRINTextremes);
-          break;
-        default:
-          s--;
-          qh_fprintf(qh ferr, 7012, "qhull warning: unknown 'F' output option %c, rest ignored\n", (int)s[0]);
-          while (*++s && !isspace(*s));
-          break;
-        }
-      }
-      break;
-    case 'G':
-      isgeom= True;
-      qh_appendprint(qh_PRINTgeom);
-      while (*s && !isspace(*s)) {
-        switch (*s++) {
-        case 'a':
-          qh_option("Gall-points", NULL, NULL);
-          qh PRINTdots= True;
-          break;
-        case 'c':
-          qh_option("Gcentrums", NULL, NULL);
-          qh PRINTcentrums= True;
-          break;
-        case 'h':
-          qh_option("Gintersections", NULL, NULL);
-          qh DOintersections= True;
-          break;
-        case 'i':
-          qh_option("Ginner", NULL, NULL);
-          qh PRINTinner= True;
-          break;
-        case 'n':
-          qh_option("Gno-planes", NULL, NULL);
-          qh PRINTnoplanes= True;
-          break;
-        case 'o':
-          qh_option("Gouter", NULL, NULL);
-          qh PRINTouter= True;
-          break;
-        case 'p':
-          qh_option("Gpoints", NULL, NULL);
-          qh PRINTcoplanar= True;
-          break;
-        case 'r':
-          qh_option("Gridges", NULL, NULL);
-          qh PRINTridges= True;
-          break;
-        case 't':
-          qh_option("Gtransparent", NULL, NULL);
-          qh PRINTtransparent= True;
-          break;
-        case 'v':
-          qh_option("Gvertices", NULL, NULL);
-          qh PRINTspheres= True;
-          break;
-        case 'D':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 6035, "qhull input error: missing dimension for option 'GDn'\n");
-          else {
-            if (qh DROPdim >= 0)
-              qh_fprintf(qh ferr, 7013, "qhull warning: can only drop one dimension.  Previous 'GD%d' ignored\n",
-                   qh DROPdim);
-            qh DROPdim= qh_strtol(s, &s);
-            qh_option("GDrop-dim", &qh DROPdim, NULL);
-          }
-          break;
-        default:
-          s--;
-          qh_fprintf(qh ferr, 7014, "qhull warning: unknown 'G' print option %c, rest ignored\n", (int)s[0]);
-          while (*++s && !isspace(*s));
-          break;
-        }
-      }
-      break;
-    case 'P':
-      while (*s && !isspace(*s)) {
-        switch (*s++) {
-        case 'd': case 'D':  /* see qh_initthresholds() */
-          key= s[-1];
-          i= qh_strtol(s, &s);
-          r= 0;
-          if (*s == ':') {
-            s++;
-            r= qh_strtod(s, &s);
-          }
-          if (key == 'd')
-            qh_option("Pdrop-facets-dim-less", &i, &r);
-          else
-            qh_option("PDrop-facets-dim-more", &i, &r);
-          break;
-        case 'g':
-          qh_option("Pgood-facets", NULL, NULL);
-          qh PRINTgood= True;
-          break;
-        case 'G':
-          qh_option("PGood-facet-neighbors", NULL, NULL);
-          qh PRINTneighbors= True;
-          break;
-        case 'o':
-          qh_option("Poutput-forced", NULL, NULL);
-          qh FORCEoutput= True;
-          break;
-        case 'p':
-          qh_option("Pprecision-ignore", NULL, NULL);
-          qh PRINTprecision= False;
-          break;
-        case 'A':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 6036, "qhull input error: missing facet count for keep area option 'PAn'\n");
-          else {
-            qh KEEParea= qh_strtol(s, &s);
-            qh_option("PArea-keep", &qh KEEParea, NULL);
-            qh GETarea= True;
-          }
-          break;
-        case 'F':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 6037, "qhull input error: missing facet area for option 'PFn'\n");
-          else {
-            qh KEEPminArea= qh_strtod(s, &s);
-            qh_option("PFacet-area-keep", NULL, &qh KEEPminArea);
-            qh GETarea= True;
-          }
-          break;
-        case 'M':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 6038, "qhull input error: missing merge count for option 'PMn'\n");
-          else {
-            qh KEEPmerge= qh_strtol(s, &s);
-            qh_option("PMerge-keep", &qh KEEPmerge, NULL);
-          }
-          break;
-        default:
-          s--;
-          qh_fprintf(qh ferr, 7015, "qhull warning: unknown 'P' print option %c, rest ignored\n", (int)s[0]);
-          while (*++s && !isspace(*s));
-          break;
-        }
-      }
-      break;
-    case 'Q':
-      lastproject= -1;
-      while (*s && !isspace(*s)) {
-        switch (*s++) {
-        case 'b': case 'B':  /* handled by qh_initthresholds */
-          key= s[-1];
-          if (key == 'b' && *s == 'B') {
-            s++;
-            r= qh_DEFAULTbox;
-            qh SCALEinput= True;
-            qh_option("QbBound-unit-box", NULL, &r);
-            break;
-          }
-          if (key == 'b' && *s == 'b') {
-            s++;
-            qh SCALElast= True;
-            qh_option("Qbbound-last", NULL, NULL);
-            break;
-          }
-          k= qh_strtol(s, &s);
-          r= 0.0;
-          wasproject= False;
-          if (*s == ':') {
-            s++;
-            if ((r= qh_strtod(s, &s)) == 0.0) {
-              t= s;            /* need true dimension for memory allocation */
-              while (*t && !isspace(*t)) {
-                if (toupper(*t++) == 'B'
-                 && k == qh_strtol(t, &t)
-                 && *t++ == ':'
-                 && qh_strtod(t, &t) == 0.0) {
-                  qh PROJECTinput++;
-                  trace2((qh ferr, 2004, "qh_initflags: project dimension %d\n", k));
-                  qh_option("Qb-project-dim", &k, NULL);
-                  wasproject= True;
-                  lastproject= k;
-                  break;
-                }
-              }
-            }
-          }
-          if (!wasproject) {
-            if (lastproject == k && r == 0.0)
-              lastproject= -1;  /* doesn't catch all possible sequences */
-            else if (key == 'b') {
-              qh SCALEinput= True;
-              if (r == 0.0)
-                r= -qh_DEFAULTbox;
-              qh_option("Qbound-dim-low", &k, &r);
-            }else {
-              qh SCALEinput= True;
-              if (r == 0.0)
-                r= qh_DEFAULTbox;
-              qh_option("QBound-dim-high", &k, &r);
-            }
-          }
-          break;
-        case 'c':
-          qh_option("Qcoplanar-keep", NULL, NULL);
-          qh KEEPcoplanar= True;
-          break;
-        case 'f':
-          qh_option("Qfurthest-outside", NULL, NULL);
-          qh BESToutside= True;
-          break;
-        case 'g':
-          qh_option("Qgood-facets-only", NULL, NULL);
-          qh ONLYgood= True;
-          break;
-        case 'i':
-          qh_option("Qinterior-keep", NULL, NULL);
-          qh KEEPinside= True;
-          break;
-        case 'm':
-          qh_option("Qmax-outside-only", NULL, NULL);
-          qh ONLYmax= True;
-          break;
-        case 'r':
-          qh_option("Qrandom-outside", NULL, NULL);
-          qh RANDOMoutside= True;
-          break;
-        case 's':
-          qh_option("Qsearch-initial-simplex", NULL, NULL);
-          qh ALLpoints= True;
-          break;
-        case 't':
-          qh_option("Qtriangulate", NULL, NULL);
-          qh TRIangulate= True;
-          break;
-        case 'T':
-          qh_option("QTestPoints", NULL, NULL);
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 6039, "qhull input error: missing number of test points for option 'QTn'\n");
-          else {
-            qh TESTpoints= qh_strtol(s, &s);
-            qh_option("QTestPoints", &qh TESTpoints, NULL);
-          }
-          break;
-        case 'u':
-          qh_option("QupperDelaunay", NULL, NULL);
-          qh UPPERdelaunay= True;
-          break;
-        case 'v':
-          qh_option("Qvertex-neighbors-convex", NULL, NULL);
-          qh TESTvneighbors= True;
-          break;
-        case 'x':
-          qh_option("Qxact-merge", NULL, NULL);
-          qh MERGEexact= True;
-          break;
-        case 'z':
-          qh_option("Qz-infinity-point", NULL, NULL);
-          qh ATinfinity= True;
-          break;
-        case '0':
-          qh_option("Q0-no-premerge", NULL, NULL);
-          qh NOpremerge= True;
-          break;
-        case '1':
-          if (!isdigit(*s)) {
-            qh_option("Q1-no-angle-sort", NULL, NULL);
-            qh ANGLEmerge= False;
-            break;
-          }
-          switch (*s++) {
-          case '0':
-            qh_option("Q10-no-narrow", NULL, NULL);
-            qh NOnarrow= True;
-            break;
-          case '1':
-            qh_option("Q11-trinormals Qtriangulate", NULL, NULL);
-            qh TRInormals= True;
-            qh TRIangulate= True;
-            break;
-          default:
-            s--;
-            qh_fprintf(qh ferr, 7016, "qhull warning: unknown 'Q' qhull option 1%c, rest ignored\n", (int)s[0]);
-            while (*++s && !isspace(*s));
-            break;
-          }
-          break;
-        case '2':
-          qh_option("Q2-no-merge-independent", NULL, NULL);
-          qh MERGEindependent= False;
-          goto LABELcheckdigit;
-          break; /* no warnings */
-        case '3':
-          qh_option("Q3-no-merge-vertices", NULL, NULL);
-          qh MERGEvertices= False;
-        LABELcheckdigit:
-          if (isdigit(*s))
-            qh_fprintf(qh ferr, 7017, "qhull warning: can not follow '1', '2', or '3' with a digit.  '%c' skipped.\n",
-                     *s++);
-          break;
-        case '4':
-          qh_option("Q4-avoid-old-into-new", NULL, NULL);
-          qh AVOIDold= True;
-          break;
-        case '5':
-          qh_option("Q5-no-check-outer", NULL, NULL);
-          qh SKIPcheckmax= True;
-          break;
-        case '6':
-          qh_option("Q6-no-concave-merge", NULL, NULL);
-          qh SKIPconvex= True;
-          break;
-        case '7':
-          qh_option("Q7-no-breadth-first", NULL, NULL);
-          qh VIRTUALmemory= True;
-          break;
-        case '8':
-          qh_option("Q8-no-near-inside", NULL, NULL);
-          qh NOnearinside= True;
-          break;
-        case '9':
-          qh_option("Q9-pick-furthest", NULL, NULL);
-          qh PICKfurthest= True;
-          break;
-        case 'G':
-          i= qh_strtol(s, &t);
-          if (qh GOODpoint)
-            qh_fprintf(qh ferr, 7018, "qhull warning: good point already defined for option 'QGn'.  Ignored\n");
-          else if (s == t)
-            qh_fprintf(qh ferr, 7019, "qhull warning: missing good point id for option 'QGn'.  Ignored\n");
-          else if (i < 0 || *s == '-') {
-            qh GOODpoint= i-1;
-            qh_option("QGood-if-dont-see-point", &i, NULL);
-          }else {
-            qh GOODpoint= i+1;
-            qh_option("QGood-if-see-point", &i, NULL);
-          }
-          s= t;
-          break;
-        case 'J':
-          if (!isdigit(*s) && *s != '-')
-            qh JOGGLEmax= 0.0;
-          else {
-            qh JOGGLEmax= (realT) qh_strtod(s, &s);
-            qh_option("QJoggle", NULL, &qh JOGGLEmax);
-          }
-          break;
-        case 'R':
-          if (!isdigit(*s) && *s != '-')
-            qh_fprintf(qh ferr, 7020, "qhull warning: missing random seed for option 'QRn'.  Ignored\n");
-          else {
-            qh ROTATErandom= i= qh_strtol(s, &s);
-            if (i > 0)
-              qh_option("QRotate-id", &i, NULL );
-            else if (i < -1)
-              qh_option("QRandom-seed", &i, NULL );
-          }
-          break;
-        case 'V':
-          i= qh_strtol(s, &t);
-          if (qh GOODvertex)
-            qh_fprintf(qh ferr, 7021, "qhull warning: good vertex already defined for option 'QVn'.  Ignored\n");
-          else if (s == t)
-            qh_fprintf(qh ferr, 7022, "qhull warning: no good point id given for option 'QVn'.  Ignored\n");
-          else if (i < 0) {
-            qh GOODvertex= i - 1;
-            qh_option("QV-good-facets-not-point", &i, NULL);
-          }else {
-            qh_option("QV-good-facets-point", &i, NULL);
-            qh GOODvertex= i + 1;
-          }
-          s= t;
-          break;
-        default:
-          s--;
-          qh_fprintf(qh ferr, 7023, "qhull warning: unknown 'Q' qhull option %c, rest ignored\n", (int)s[0]);
-          while (*++s && !isspace(*s));
-          break;
-        }
-      }
-      break;
-    case 'T':
-      while (*s && !isspace(*s)) {
-        if (isdigit(*s) || *s == '-')
-          qh IStracing= qh_strtol(s, &s);
-        else switch (*s++) {
-        case 'a':
-          qh_option("Tannotate-output", NULL, NULL);
-          qh ANNOTATEoutput= True;
-          break;
-        case 'c':
-          qh_option("Tcheck-frequently", NULL, NULL);
-          qh CHECKfrequently= True;
-          break;
-        case 's':
-          qh_option("Tstatistics", NULL, NULL);
-          qh PRINTstatistics= True;
-          break;
-        case 'v':
-          qh_option("Tverify", NULL, NULL);
-          qh VERIFYoutput= True;
-          break;
-        case 'z':
-          if (qh ferr == qh_FILEstderr) {
-            /* The C++ interface captures the output in qh_fprint_qhull() */
-            qh_option("Tz-stdout", NULL, NULL);
-            qh USEstdout= True;
-          }else if (!qh fout)
-            qh_fprintf(qh ferr, 7024, "qhull warning: output file undefined(stdout).  Option 'Tz' ignored.\n");
-          else {
-            qh_option("Tz-stdout", NULL, NULL);
-            qh USEstdout= True;
-            qh ferr= qh fout;
-            qhmem.ferr= qh fout;
-          }
-          break;
-        case 'C':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7025, "qhull warning: missing point id for cone for trace option 'TCn'.  Ignored\n");
-          else {
-            i= qh_strtol(s, &s);
-            qh_option("TCone-stop", &i, NULL);
-            qh STOPcone= i + 1;
-          }
-          break;
-        case 'F':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7026, "qhull warning: missing frequency count for trace option 'TFn'.  Ignored\n");
-          else {
-            qh REPORTfreq= qh_strtol(s, &s);
-            qh_option("TFacet-log", &qh REPORTfreq, NULL);
-            qh REPORTfreq2= qh REPORTfreq/2;  /* for tracemerging() */
-          }
-          break;
-        case 'I':
-          if (!isspace(*s))
-            qh_fprintf(qh ferr, 7027, "qhull warning: missing space between 'TI' and filename, %s\n", s);
-          while (isspace(*s))
-            s++;
-          t= qh_skipfilename(s);
-          {
-            char filename[qh_FILENAMElen];
-
-            qh_copyfilename(filename, (int)sizeof(filename), s, (int)(t-s));   /* WARN64 */
-            s= t;
-            if (!freopen(filename, "r", stdin)) {
-              qh_fprintf(qh ferr, 6041, "qhull error: could not open file \"%s\".", filename);
-              qh_errexit(qh_ERRinput, NULL, NULL);
-            }else {
-              qh_option("TInput-file", NULL, NULL);
-              qh_option(filename, NULL, NULL);
-            }
-          }
-          break;
-        case 'O':
-            if (!isspace(*s))
-                qh_fprintf(qh ferr, 7028, "qhull warning: missing space between 'TO' and filename, %s\n", s);
-            while (isspace(*s))
-                s++;
-            t= qh_skipfilename(s);
-            {
-              char filename[qh_FILENAMElen];
-
-              qh_copyfilename(filename, (int)sizeof(filename), s, (int)(t-s));  /* WARN64 */
-              s= t;
-              if (!freopen(filename, "w", stdout)) {
-                qh_fprintf(qh ferr, 6044, "qhull error: could not open file \"%s\".", filename);
-                qh_errexit(qh_ERRinput, NULL, NULL);
-              }else {
-                qh_option("TOutput-file", NULL, NULL);
-              qh_option(filename, NULL, NULL);
-            }
-          }
-          break;
-        case 'P':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7029, "qhull warning: missing point id for trace option 'TPn'.  Ignored\n");
-          else {
-            qh TRACEpoint= qh_strtol(s, &s);
-            qh_option("Trace-point", &qh TRACEpoint, NULL);
-          }
-          break;
-        case 'M':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7030, "qhull warning: missing merge id for trace option 'TMn'.  Ignored\n");
-          else {
-            qh TRACEmerge= qh_strtol(s, &s);
-            qh_option("Trace-merge", &qh TRACEmerge, NULL);
-          }
-          break;
-        case 'R':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7031, "qhull warning: missing rerun count for trace option 'TRn'.  Ignored\n");
-          else {
-            qh RERUN= qh_strtol(s, &s);
-            qh_option("TRerun", &qh RERUN, NULL);
-          }
-          break;
-        case 'V':
-          i= qh_strtol(s, &t);
-          if (s == t)
-            qh_fprintf(qh ferr, 7032, "qhull warning: missing furthest point id for trace option 'TVn'.  Ignored\n");
-          else if (i < 0) {
-            qh STOPpoint= i - 1;
-            qh_option("TV-stop-before-point", &i, NULL);
-          }else {
-            qh STOPpoint= i + 1;
-            qh_option("TV-stop-after-point", &i, NULL);
-          }
-          s= t;
-          break;
-        case 'W':
-          if (!isdigit(*s))
-            qh_fprintf(qh ferr, 7033, "qhull warning: missing max width for trace option 'TWn'.  Ignored\n");
-          else {
-            qh TRACEdist= (realT) qh_strtod(s, &s);
-            qh_option("TWide-trace", NULL, &qh TRACEdist);
-          }
-          break;
-        default:
-          s--;
-          qh_fprintf(qh ferr, 7034, "qhull warning: unknown 'T' trace option %c, rest ignored\n", (int)s[0]);
-          while (*++s && !isspace(*s));
-          break;
-        }
-      }
-      break;
-    default:
-      qh_fprintf(qh ferr, 7035, "qhull warning: unknown flag %c(%x)\n", (int)s[-1],
-               (int)s[-1]);
-      break;
-    }
-    if (s-1 == prev_s && *s && !isspace(*s)) {
-      qh_fprintf(qh ferr, 7036, "qhull warning: missing space after flag %c(%x); reserved for menu. Skipped.\n",
-               (int)*prev_s, (int)*prev_s);
-      while (*s && !isspace(*s))
-        s++;
-    }
-  }
-  if (qh STOPcone && qh JOGGLEmax < REALmax/2)
-    qh_fprintf(qh ferr, 7078, "qhull warning: 'TCn' (stopCone) ignored when used with 'QJn' (joggle)\n");
-  if (isgeom && !qh FORCEoutput && qh PRINTout[1])
-    qh_fprintf(qh ferr, 7037, "qhull warning: additional output formats are not compatible with Geomview\n");
-  /* set derived values in qh_initqhull_globals */
-} /* initflags */
-
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_buffers">-</a>
-
-  qh_initqhull_buffers()
-    initialize global memory buffers
-
-  notes:
-    must match qh_freebuffers()
-*/
-void qh_initqhull_buffers(void) {
-  int k;
-
-  qh TEMPsize= (qhmem.LASTsize - sizeof(setT))/SETelemsize;
-  if (qh TEMPsize <= 0 || qh TEMPsize > qhmem.LASTsize)
-    qh TEMPsize= 8;  /* e.g., if qh_NOmem */
-  qh other_points= qh_setnew(qh TEMPsize);
-  qh del_vertices= qh_setnew(qh TEMPsize);
-  qh coplanarfacetset= qh_setnew(qh TEMPsize);
-  qh NEARzero= (realT *)qh_memalloc(qh hull_dim * sizeof(realT));
-  qh lower_threshold= (realT *)qh_memalloc((qh input_dim+1) * sizeof(realT));
-  qh upper_threshold= (realT *)qh_memalloc((qh input_dim+1) * sizeof(realT));
-  qh lower_bound= (realT *)qh_memalloc((qh input_dim+1) * sizeof(realT));
-  qh upper_bound= (realT *)qh_memalloc((qh input_dim+1) * sizeof(realT));
-  for (k=qh input_dim+1; k--; ) {  /* duplicated in qh_initqhull_buffers and qh_clear_ouputflags */
-    qh lower_threshold[k]= -REALmax;
-    qh upper_threshold[k]= REALmax;
-    qh lower_bound[k]= -REALmax;
-    qh upper_bound[k]= REALmax;
-  }
-  qh gm_matrix= (coordT *)qh_memalloc((qh hull_dim+1) * qh hull_dim * sizeof(coordT));
-  qh gm_row= (coordT **)qh_memalloc((qh hull_dim+1) * sizeof(coordT *));
-} /* initqhull_buffers */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_globals">-</a>
-
-  qh_initqhull_globals( points, numpoints, dim, ismalloc )
-    initialize globals
-    if ismalloc
-      points were malloc'd and qhull should free at end
-
-  returns:
-    sets qh.first_point, num_points, input_dim, hull_dim and others
-    seeds random number generator (seed=1 if tracing)
-    modifies qh.hull_dim if ((qh.DELAUNAY and qh.PROJECTdelaunay) or qh.PROJECTinput)
-    adjust user flags as needed
-    also checks DIM3 dependencies and constants
-
-  notes:
-    do not use qh_point() since an input transformation may move them elsewhere
-
-  see:
-    qh_initqhull_start() sets default values for non-zero globals
-
-  design:
-    initialize points array from input arguments
-    test for qh.ZEROcentrum
-      (i.e., use opposite vertex instead of cetrum for convexity testing)
-    initialize qh.CENTERtype, qh.normal_size,
-      qh.center_size, qh.TRACEpoint/level,
-    initialize and test random numbers
-    qh_initqhull_outputflags() -- adjust and test output flags
-*/
-void qh_initqhull_globals(coordT *points, int numpoints, int dim, boolT ismalloc) {
-  int seed, pointsneeded, extra= 0, i, randi, k;
-  realT randr;
-  realT factorial;
-
-  time_t timedata;
-
-  trace0((qh ferr, 13, "qh_initqhull_globals: for %s | %s\n", qh rbox_command,
-      qh qhull_command));
-  qh POINTSmalloc= ismalloc;
-  qh first_point= points;
-  qh num_points= numpoints;
-  qh hull_dim= qh input_dim= dim;
-  if (!qh NOpremerge && !qh MERGEexact && !qh PREmerge && qh JOGGLEmax > REALmax/2) {
-    qh MERGING= True;
-    if (qh hull_dim <= 4) {
-      qh PREmerge= True;
-      qh_option("_pre-merge", NULL, NULL);
-    }else {
-      qh MERGEexact= True;
-      qh_option("Qxact_merge", NULL, NULL);
-    }
-  }else if (qh MERGEexact)
-    qh MERGING= True;
-  if (!qh NOpremerge && qh JOGGLEmax > REALmax/2) {
-#ifdef qh_NOmerge
-    qh JOGGLEmax= 0.0;
-#endif
-  }
-  if (qh TRIangulate && qh JOGGLEmax < REALmax/2 && qh PRINTprecision)
-    qh_fprintf(qh ferr, 7038, "qhull warning: joggle('QJ') always produces simplicial output.  Triangulated output('Qt') does nothing.\n");
-  if (qh JOGGLEmax < REALmax/2 && qh DELAUNAY && !qh SCALEinput && !qh SCALElast) {
-    qh SCALElast= True;
-    qh_option("Qbbound-last-qj", NULL, NULL);
-  }
-  if (qh MERGING && !qh POSTmerge && qh premerge_cos > REALmax/2
-  && qh premerge_centrum == 0) {
-    qh ZEROcentrum= True;
-    qh ZEROall_ok= True;
-    qh_option("_zero-centrum", NULL, NULL);
-  }
-  if (qh JOGGLEmax < REALmax/2 && REALepsilon > 2e-8 && qh PRINTprecision)
-    qh_fprintf(qh ferr, 7039, "qhull warning: real epsilon, %2.2g, is probably too large for joggle('QJn')\nRecompile with double precision reals(see user.h).\n",
-          REALepsilon);
-#ifdef qh_NOmerge
-  if (qh MERGING) {
-    qh_fprintf(qh ferr, 6045, "qhull input error: merging not installed(qh_NOmerge + 'Qx', 'Cn' or 'An')\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-#endif
-  if (qh DELAUNAY && qh KEEPcoplanar && !qh KEEPinside) {
-    qh KEEPinside= True;
-    qh_option("Qinterior-keep", NULL, NULL);
-  }
-  if (qh DELAUNAY && qh HALFspace) {
-    qh_fprintf(qh ferr, 6046, "qhull input error: can not use Delaunay('d') or Voronoi('v') with halfspace intersection('H')\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (!qh DELAUNAY && (qh UPPERdelaunay || qh ATinfinity)) {
-    qh_fprintf(qh ferr, 6047, "qhull input error: use upper-Delaunay('Qu') or infinity-point('Qz') with Delaunay('d') or Voronoi('v')\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (qh UPPERdelaunay && qh ATinfinity) {
-    qh_fprintf(qh ferr, 6048, "qhull input error: can not use infinity-point('Qz') with upper-Delaunay('Qu')\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (qh SCALElast && !qh DELAUNAY && qh PRINTprecision)
-    qh_fprintf(qh ferr, 7040, "qhull input warning: option 'Qbb' (scale-last-coordinate) is normally used with 'd' or 'v'\n");
-  qh DOcheckmax= (!qh SKIPcheckmax && qh MERGING );
-  qh KEEPnearinside= (qh DOcheckmax && !(qh KEEPinside && qh KEEPcoplanar)
-                          && !qh NOnearinside);
-  if (qh MERGING)
-    qh CENTERtype= qh_AScentrum;
-  else if (qh VORONOI)
-    qh CENTERtype= qh_ASvoronoi;
-  if (qh TESTvneighbors && !qh MERGING) {
-    qh_fprintf(qh ferr, 6049, "qhull input error: test vertex neighbors('Qv') needs a merge option\n");
-    qh_errexit(qh_ERRinput, NULL ,NULL);
-  }
-  if (qh PROJECTinput || (qh DELAUNAY && qh PROJECTdelaunay)) {
-    qh hull_dim -= qh PROJECTinput;
-    if (qh DELAUNAY) {
-      qh hull_dim++;
-      if (qh ATinfinity)
-        extra= 1;
-    }
-  }
-  if (qh hull_dim <= 1) {
-    qh_fprintf(qh ferr, 6050, "qhull error: dimension %d must be > 1\n", qh hull_dim);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  for (k=2, factorial=1.0; k < qh hull_dim; k++)
-    factorial *= k;
-  qh AREAfactor= 1.0 / factorial;
-  trace2((qh ferr, 2005, "qh_initqhull_globals: initialize globals.  dim %d numpoints %d malloc? %d projected %d to hull_dim %d\n",
-        dim, numpoints, ismalloc, qh PROJECTinput, qh hull_dim));
-  qh normal_size= qh hull_dim * sizeof(coordT);
-  qh center_size= qh normal_size - sizeof(coordT);
-  pointsneeded= qh hull_dim+1;
-  if (qh hull_dim > qh_DIMmergeVertex) {
-    qh MERGEvertices= False;
-    qh_option("Q3-no-merge-vertices-dim-high", NULL, NULL);
-  }
-  if (qh GOODpoint)
-    pointsneeded++;
-#ifdef qh_NOtrace
-  if (qh IStracing) {
-    qh_fprintf(qh ferr, 6051, "qhull input error: tracing is not installed(qh_NOtrace in user.h)");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-#endif
-  if (qh RERUN > 1) {
-    qh TRACElastrun= qh IStracing; /* qh_build_withrestart duplicates next conditional */
-    if (qh IStracing != -1)
-      qh IStracing= 0;
-  }else if (qh TRACEpoint != -1 || qh TRACEdist < REALmax/2 || qh TRACEmerge) {
-    qh TRACElevel= (qh IStracing? qh IStracing : 3);
-    qh IStracing= 0;
-  }
-  if (qh ROTATErandom == 0 || qh ROTATErandom == -1) {
-    seed= (int)time(&timedata);
-    if (qh ROTATErandom  == -1) {
-      seed= -seed;
-      qh_option("QRandom-seed", &seed, NULL );
-    }else
-      qh_option("QRotate-random", &seed, NULL);
-    qh ROTATErandom= seed;
-  }
-  seed= qh ROTATErandom;
-  if (seed == INT_MIN)    /* default value */
-    seed= 1;
-  else if (seed < 0)
-    seed= -seed;
-  qh_RANDOMseed_(seed);
-  randr= 0.0;
-  for (i=1000; i--; ) {
-    randi= qh_RANDOMint;
-    randr += randi;
-    if (randi > qh_RANDOMmax) {
-      qh_fprintf(qh ferr, 8036, "\
-qhull configuration error (qh_RANDOMmax in user.h):\n\
-   random integer %d > qh_RANDOMmax(%.8g)\n",
-               randi, qh_RANDOMmax);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-  }
-  qh_RANDOMseed_(seed);
-  randr = randr/1000;
-  if (randr < qh_RANDOMmax * 0.1
-  || randr > qh_RANDOMmax * 0.9)
-    qh_fprintf(qh ferr, 8037, "\
-qhull configuration warning (qh_RANDOMmax in user.h):\n\
-   average of 1000 random integers (%.2g) is much different than expected (%.2g).\n\
-   Is qh_RANDOMmax (%.2g) wrong?\n",
-             randr, qh_RANDOMmax * 0.5, qh_RANDOMmax);
-  qh RANDOMa= 2.0 * qh RANDOMfactor/qh_RANDOMmax;
-  qh RANDOMb= 1.0 - qh RANDOMfactor;
-  if (qh_HASHfactor < 1.1) {
-    qh_fprintf(qh ferr, 6052, "qhull internal error (qh_initqhull_globals): qh_HASHfactor %d must be at least 1.1.  Qhull uses linear hash probing\n",
-      qh_HASHfactor);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (numpoints+extra < pointsneeded) {
-    qh_fprintf(qh ferr, 6214, "qhull input error: not enough points(%d) to construct initial simplex (need %d)\n",
-            numpoints, pointsneeded);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  qh_initqhull_outputflags();
-} /* initqhull_globals */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_mem">-</a>
-
-  qh_initqhull_mem(  )
-    initialize mem.c for qhull
-    qh.hull_dim and qh.normal_size determine some of the allocation sizes
-    if qh.MERGING,
-      includes ridgeT
-    calls qh_user_memsizes() to add up to 10 additional sizes for quick allocation
-      (see numsizes below)
-
-  returns:
-    mem.c already for qh_memalloc/qh_memfree (errors if called beforehand)
-
-  notes:
-    qh_produceoutput() prints memsizes
-
-*/
-void qh_initqhull_mem(void) {
-  int numsizes;
-  int i;
-
-  numsizes= 8+10;
-  qh_meminitbuffers(qh IStracing, qh_MEMalign, numsizes,
-                     qh_MEMbufsize,qh_MEMinitbuf);
-  qh_memsize((int)sizeof(vertexT));
-  if (qh MERGING) {
-    qh_memsize((int)sizeof(ridgeT));
-    qh_memsize((int)sizeof(mergeT));
-  }
-  qh_memsize((int)sizeof(facetT));
-  i= sizeof(setT) + (qh hull_dim - 1) * SETelemsize;  /* ridge.vertices */
-  qh_memsize(i);
-  qh_memsize(qh normal_size);        /* normal */
-  i += SETelemsize;                 /* facet.vertices, .ridges, .neighbors */
-  qh_memsize(i);
-  qh_user_memsizes();
-  qh_memsetup();
-} /* initqhull_mem */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_outputflags">-</a>
-
-  qh_initqhull_outputflags
-    initialize flags concerned with output
-
-  returns:
-    adjust user flags as needed
-
-  see:
-    qh_clear_outputflags() resets the flags
-
-  design:
-    test for qh.PRINTgood (i.e., only print 'good' facets)
-    check for conflicting print output options
-*/
-void qh_initqhull_outputflags(void) {
-  boolT printgeom= False, printmath= False, printcoplanar= False;
-  int i;
-
-  trace3((qh ferr, 3024, "qh_initqhull_outputflags: %s\n", qh qhull_command));
-  if (!(qh PRINTgood || qh PRINTneighbors)) {
-    if (qh KEEParea || qh KEEPminArea < REALmax/2 || qh KEEPmerge || qh DELAUNAY
-        || (!qh ONLYgood && (qh GOODvertex || qh GOODpoint))) {
-      qh PRINTgood= True;
-      qh_option("Pgood", NULL, NULL);
-    }
-  }
-  if (qh PRINTtransparent) {
-    if (qh hull_dim != 4 || !qh DELAUNAY || qh VORONOI || qh DROPdim >= 0) {
-      qh_fprintf(qh ferr, 6215, "qhull input error: transparent Delaunay('Gt') needs 3-d Delaunay('d') w/o 'GDn'\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    qh DROPdim = 3;
-    qh PRINTridges = True;
-  }
-  for (i=qh_PRINTEND; i--; ) {
-    if (qh PRINTout[i] == qh_PRINTgeom)
-      printgeom= True;
-    else if (qh PRINTout[i] == qh_PRINTmathematica || qh PRINTout[i] == qh_PRINTmaple)
-      printmath= True;
-    else if (qh PRINTout[i] == qh_PRINTcoplanars)
-      printcoplanar= True;
-    else if (qh PRINTout[i] == qh_PRINTpointnearest)
-      printcoplanar= True;
-    else if (qh PRINTout[i] == qh_PRINTpointintersect && !qh HALFspace) {
-      qh_fprintf(qh ferr, 6053, "qhull input error: option 'Fp' is only used for \nhalfspace intersection('Hn,n,n').\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }else if (qh PRINTout[i] == qh_PRINTtriangles && (qh HALFspace || qh VORONOI)) {
-      qh_fprintf(qh ferr, 6054, "qhull input error: option 'Ft' is not available for Voronoi vertices or halfspace intersection\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }else if (qh PRINTout[i] == qh_PRINTcentrums && qh VORONOI) {
-      qh_fprintf(qh ferr, 6055, "qhull input error: option 'FC' is not available for Voronoi vertices('v')\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }else if (qh PRINTout[i] == qh_PRINTvertices) {
-      if (qh VORONOI)
-        qh_option("Fvoronoi", NULL, NULL);
-      else
-        qh_option("Fvertices", NULL, NULL);
-    }
-  }
-  if (printcoplanar && qh DELAUNAY && qh JOGGLEmax < REALmax/2) {
-    if (qh PRINTprecision)
-      qh_fprintf(qh ferr, 7041, "qhull input warning: 'QJ' (joggle) will usually prevent coincident input sites for options 'Fc' and 'FP'\n");
-  }
-  if (printmath && (qh hull_dim > 3 || qh VORONOI)) {
-    qh_fprintf(qh ferr, 6056, "qhull input error: Mathematica and Maple output is only available for 2-d and 3-d convex hulls and 2-d Delaunay triangulations\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (printgeom) {
-    if (qh hull_dim > 4) {
-      qh_fprintf(qh ferr, 6057, "qhull input error: Geomview output is only available for 2-d, 3-d and 4-d\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    if (qh PRINTnoplanes && !(qh PRINTcoplanar + qh PRINTcentrums
-     + qh PRINTdots + qh PRINTspheres + qh DOintersections + qh PRINTridges)) {
-      qh_fprintf(qh ferr, 6058, "qhull input error: no output specified for Geomview\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    if (qh VORONOI && (qh hull_dim > 3 || qh DROPdim >= 0)) {
-      qh_fprintf(qh ferr, 6059, "qhull input error: Geomview output for Voronoi diagrams only for 2-d\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    /* can not warn about furthest-site Geomview output: no lower_threshold */
-    if (qh hull_dim == 4 && qh DROPdim == -1 &&
-        (qh PRINTcoplanar || qh PRINTspheres || qh PRINTcentrums)) {
-      qh_fprintf(qh ferr, 7042, "qhull input warning: coplanars, vertices, and centrums output not\n\
-available for 4-d output(ignored).  Could use 'GDn' instead.\n");
-      qh PRINTcoplanar= qh PRINTspheres= qh PRINTcentrums= False;
-    }
-  }
-  if (!qh KEEPcoplanar && !qh KEEPinside && !qh ONLYgood) {
-    if ((qh PRINTcoplanar && qh PRINTspheres) || printcoplanar) {
-      if (qh QHULLfinished) {
-        qh_fprintf(qh ferr, 7072, "qhull output warning: ignoring coplanar points, option 'Qc' was not set for the first run of qhull.\n");
-      }else {
-        qh KEEPcoplanar = True;
-        qh_option("Qcoplanar", NULL, NULL);
-      }
-    }
-  }
-  qh PRINTdim= qh hull_dim;
-  if (qh DROPdim >=0) {    /* after Geomview checks */
-    if (qh DROPdim < qh hull_dim) {
-      qh PRINTdim--;
-      if (!printgeom || qh hull_dim < 3)
-        qh_fprintf(qh ferr, 7043, "qhull input warning: drop dimension 'GD%d' is only available for 3-d/4-d Geomview\n", qh DROPdim);
-    }else
-      qh DROPdim= -1;
-  }else if (qh VORONOI) {
-    qh DROPdim= qh hull_dim-1;
-    qh PRINTdim= qh hull_dim-1;
-  }
-} /* qh_initqhull_outputflags */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_start">-</a>
-
-  qh_initqhull_start( infile, outfile, errfile )
-    allocate memory if needed and call qh_initqhull_start2()
-*/
-void qh_initqhull_start(FILE *infile, FILE *outfile, FILE *errfile) {
-
-#if qh_QHpointer
-  if (qh_qh) {
-    qh_fprintf(errfile, 6205, "qhull error (qh_initqhull_start): qh_qh already defined.  Call qh_save_qhull() first\n");
-    qh_exit(qh_ERRqhull);  /* no error handler */
-  }
-  if (!(qh_qh= (qhT *)qh_malloc(sizeof(qhT)))) {
-    qh_fprintf(errfile, 6060, "qhull error (qh_initqhull_start): insufficient memory\n");
-    qh_exit(qh_ERRmem);  /* no error handler */
-  }
-#endif
-  qh_initstatistics();
-  qh_initqhull_start2(infile, outfile, errfile);
-} /* initqhull_start */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initqhull_start2">-</a>
-
-  qh_initqhull_start2( infile, outfile, errfile )
-    start initialization of qhull
-    initialize statistics, stdio, default values for global variables
-    assumes qh_qh is defined
-  notes:
-    report errors elsewhere, error handling and g_qhull_output [Qhull.cpp, QhullQh()] not in initialized
-  see:
-    qh_maxmin() determines the precision constants
-    qh_freeqhull2()
-*/
-void qh_initqhull_start2(FILE *infile, FILE *outfile, FILE *errfile) {
-  time_t timedata;
-  int seed;
-
-  qh_CPUclock; /* start the clock(for qh_clock).  One-shot. */
-#if qh_QHpointer
-  memset((char *)qh_qh, 0, sizeof(qhT));   /* every field is 0, FALSE, NULL */
-#else
-  memset((char *)&qh_qh, 0, sizeof(qhT));
-#endif
-  qh ANGLEmerge= True;
-  qh DROPdim= -1;
-  qh ferr= errfile;
-  qh fin= infile;
-  qh fout= outfile;
-  qh furthest_id= -1;
-  qh JOGGLEmax= REALmax;
-  qh KEEPminArea = REALmax;
-  qh last_low= REALmax;
-  qh last_high= REALmax;
-  qh last_newhigh= REALmax;
-  qh max_outside= 0.0;
-  qh max_vertex= 0.0;
-  qh MAXabs_coord= 0.0;
-  qh MAXsumcoord= 0.0;
-  qh MAXwidth= -REALmax;
-  qh MERGEindependent= True;
-  qh MINdenom_1= fmax_(1.0/REALmax, REALmin); /* used by qh_scalepoints */
-  qh MINoutside= 0.0;
-  qh MINvisible= REALmax;
-  qh MAXcoplanar= REALmax;
-  qh outside_err= REALmax;
-  qh premerge_centrum= 0.0;
-  qh premerge_cos= REALmax;
-  qh PRINTprecision= True;
-  qh PRINTradius= 0.0;
-  qh postmerge_cos= REALmax;
-  qh postmerge_centrum= 0.0;
-  qh ROTATErandom= INT_MIN;
-  qh MERGEvertices= True;
-  qh totarea= 0.0;
-  qh totvol= 0.0;
-  qh TRACEdist= REALmax;
-  qh TRACEpoint= -1; /* recompile or use 'TPn' */
-  qh tracefacet_id= UINT_MAX;  /* recompile to trace a facet */
-  qh tracevertex_id= UINT_MAX; /* recompile to trace a vertex */
-  seed= (int)time(&timedata);
-  qh_RANDOMseed_(seed);
-  qh run_id= qh_RANDOMint+1; /* disallow 0 [UsingLibQhull::NOqhRunId] */
-  qh_option("run-id", &qh run_id, NULL);
-  strcat(qh qhull, "qhull");
-} /* initqhull_start2 */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="initthresholds">-</a>
-
-  qh_initthresholds( commandString )
-    set thresholds for printing and scaling from commandString
-
-  returns:
-    sets qh.GOODthreshold or qh.SPLITthreshold if 'Pd0D1' used
-
-  see:
-    qh_initflags(), 'Qbk' 'QBk' 'Pdk' and 'PDk'
-    qh_inthresholds()
-
-  design:
-    for each 'Pdn' or 'PDn' option
-      check syntax
-      set qh.lower_threshold or qh.upper_threshold
-    set qh.GOODthreshold if an unbounded threshold is used
-    set qh.SPLITthreshold if a bounded threshold is used
-*/
-void qh_initthresholds(char *command) {
-  realT value;
-  int idx, maxdim, k;
-  char *s= command; /* non-const due to strtol */
-  char key;
-
-  maxdim= qh input_dim;
-  if (qh DELAUNAY && (qh PROJECTdelaunay || qh PROJECTinput))
-    maxdim++;
-  while (*s) {
-    if (*s == '-')
-      s++;
-    if (*s == 'P') {
-      s++;
-      while (*s && !isspace(key= *s++)) {
-        if (key == 'd' || key == 'D') {
-          if (!isdigit(*s)) {
-            qh_fprintf(qh ferr, 7044, "qhull warning: no dimension given for Print option '%c' at: %s.  Ignored\n",
-                    key, s-1);
-            continue;
-          }
-          idx= qh_strtol(s, &s);
-          if (idx >= qh hull_dim) {
-            qh_fprintf(qh ferr, 7045, "qhull warning: dimension %d for Print option '%c' is >= %d.  Ignored\n",
-                idx, key, qh hull_dim);
-            continue;
-          }
-          if (*s == ':') {
-            s++;
-            value= qh_strtod(s, &s);
-            if (fabs((double)value) > 1.0) {
-              qh_fprintf(qh ferr, 7046, "qhull warning: value %2.4g for Print option %c is > +1 or < -1.  Ignored\n",
-                      value, key);
-              continue;
-            }
-          }else
-            value= 0.0;
-          if (key == 'd')
-            qh lower_threshold[idx]= value;
-          else
-            qh upper_threshold[idx]= value;
-        }
-      }
-    }else if (*s == 'Q') {
-      s++;
-      while (*s && !isspace(key= *s++)) {
-        if (key == 'b' && *s == 'B') {
-          s++;
-          for (k=maxdim; k--; ) {
-            qh lower_bound[k]= -qh_DEFAULTbox;
-            qh upper_bound[k]= qh_DEFAULTbox;
-          }
-        }else if (key == 'b' && *s == 'b')
-          s++;
-        else if (key == 'b' || key == 'B') {
-          if (!isdigit(*s)) {
-            qh_fprintf(qh ferr, 7047, "qhull warning: no dimension given for Qhull option %c.  Ignored\n",
-                    key);
-            continue;
-          }
-          idx= qh_strtol(s, &s);
-          if (idx >= maxdim) {
-            qh_fprintf(qh ferr, 7048, "qhull warning: dimension %d for Qhull option %c is >= %d.  Ignored\n",
-                idx, key, maxdim);
-            continue;
-          }
-          if (*s == ':') {
-            s++;
-            value= qh_strtod(s, &s);
-          }else if (key == 'b')
-            value= -qh_DEFAULTbox;
-          else
-            value= qh_DEFAULTbox;
-          if (key == 'b')
-            qh lower_bound[idx]= value;
-          else
-            qh upper_bound[idx]= value;
-        }
-      }
-    }else {
-      while (*s && !isspace(*s))
-        s++;
-    }
-    while (isspace(*s))
-      s++;
-  }
-  for (k=qh hull_dim; k--; ) {
-    if (qh lower_threshold[k] > -REALmax/2) {
-      qh GOODthreshold= True;
-      if (qh upper_threshold[k] < REALmax/2) {
-        qh SPLITthresholds= True;
-        qh GOODthreshold= False;
-        break;
-      }
-    }else if (qh upper_threshold[k] < REALmax/2)
-      qh GOODthreshold= True;
-  }
-} /* initthresholds */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="option">-</a>
-
-  qh_option( option, intVal, realVal )
-    add an option description to qh.qhull_options
-
-  notes:
-    NOerrors -- qh_option can not call qh_errexit() [qh_initqhull_start2]
-    will be printed with statistics ('Ts') and errors
-    strlen(option) < 40
-*/
-void qh_option(const char *option, int *i, realT *r) {
-  char buf[200];
-  int len, maxlen;
-
-  sprintf(buf, "  %s", option);
-  if (i)
-    sprintf(buf+strlen(buf), " %d", *i);
-  if (r)
-    sprintf(buf+strlen(buf), " %2.2g", *r);
-  len= (int)strlen(buf);  /* WARN64 */
-  qh qhull_optionlen += len;
-  maxlen= sizeof(qh qhull_options) - len -1;
-  maximize_(maxlen, 0);
-  if (qh qhull_optionlen >= qh_OPTIONline && maxlen > 0) {
-    qh qhull_optionlen= len;
-    strncat(qh qhull_options, "\n", (size_t)(maxlen--));
-  }
-  strncat(qh qhull_options, buf, (size_t)maxlen);
-} /* option */
-
-#if qh_QHpointer
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="restore_qhull">-</a>
-
-  qh_restore_qhull( oldqh )
-    restores a previously saved qhull
-    also restores qh_qhstat and qhmem.tempstack
-    Sets *oldqh to NULL
-  notes:
-    errors if current qhull hasn't been saved or freed
-    uses qhmem for error reporting
-
-  NOTE 1998/5/11:
-    Freeing memory after qh_save_qhull and qh_restore_qhull
-    is complicated.  The procedures will be redesigned.
-
-  see:
-    qh_save_qhull(), UsingLibQhull
-*/
-void qh_restore_qhull(qhT **oldqh) {
-
-  if (*oldqh && strcmp((*oldqh)->qhull, "qhull")) {
-    qh_fprintf(qhmem.ferr, 6061, "qhull internal error (qh_restore_qhull): %p is not a qhull data structure\n",
-                  *oldqh);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (qh_qh) {
-    qh_fprintf(qhmem.ferr, 6062, "qhull internal error (qh_restore_qhull): did not save or free existing qhull\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (!*oldqh || !(*oldqh)->old_qhstat) {
-    qh_fprintf(qhmem.ferr, 6063, "qhull internal error (qh_restore_qhull): did not previously save qhull %p\n",
-                  *oldqh);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  qh_qh= *oldqh;
-  *oldqh= NULL;
-  qh_qhstat= qh old_qhstat;
-  qhmem.tempstack= qh old_tempstack;
-  qh old_qhstat= 0;
-  qh old_tempstack= 0;
-  trace1((qh ferr, 1007, "qh_restore_qhull: restored qhull from %p\n", *oldqh));
-} /* restore_qhull */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="save_qhull">-</a>
-
-  qh_save_qhull(  )
-    saves qhull for a later qh_restore_qhull
-    also saves qh_qhstat and qhmem.tempstack
-
-  returns:
-    qh_qh=NULL
-
-  notes:
-    need to initialize qhull or call qh_restore_qhull before continuing
-
-  NOTE 1998/5/11:
-    Freeing memory after qh_save_qhull and qh_restore_qhull
-    is complicated.  The procedures will be redesigned.
-
-  see:
-    qh_restore_qhull()
-*/
-qhT *qh_save_qhull(void) {
-  qhT *oldqh;
-
-  trace1((qhmem.ferr, 1045, "qh_save_qhull: save qhull %p\n", qh_qh));
-  if (!qh_qh) {
-    qh_fprintf(qhmem.ferr, 6064, "qhull internal error (qh_save_qhull): qhull not initialized\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  qh old_qhstat= qh_qhstat;
-  qh_qhstat= NULL;
-  qh old_tempstack= qhmem.tempstack;
-  qhmem.tempstack= NULL;
-  oldqh= qh_qh;
-  qh_qh= NULL;
-  return oldqh;
-} /* save_qhull */
-
-#endif
diff --git a/extern/qhull/io.c b/extern/qhull/io.c
deleted file mode 100644
index 092e3ef79a53..000000000000
--- a/extern/qhull/io.c
+++ /dev/null
@@ -1,4059 +0,0 @@
-/*<html><pre>  -<a                             href="qh-io.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   io.c
-   Input/Output routines of qhull application
-
-   see qh-io.htm and io.h
-
-   see user.c for qh_errprint and qh_printfacetlist
-
-   unix.c calls qh_readpoints and qh_produce_output
-
-   unix.c and user.c are the only callers of io.c functions
-   This allows the user to avoid loading io.o from qhull.a
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/io.c#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-/*========= -functions in alphabetical order after qh_produce_output()  =====*/
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="produce_output">-</a>
-
-  qh_produce_output()
-  qh_produce_output2()
-    prints out the result of qhull in desired format
-    qh_produce_output2() does not call qh_prepare_output()
-    if qh.GETarea
-      computes and prints area and volume
-    qh.PRINTout[] is an array of output formats
-
-  notes:
-    prints output in qh.PRINTout order
-*/
-void qh_produce_output(void) {
-    int tempsize= qh_setsize(qhmem.tempstack);
-
-    qh_prepare_output();
-    qh_produce_output2();
-    if (qh_setsize(qhmem.tempstack) != tempsize) {
-        qh_fprintf(qh ferr, 6206, "qhull internal error (qh_produce_output): temporary sets not empty(%d)\n",
-            qh_setsize(qhmem.tempstack));
-        qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-} /* produce_output */
-
-
-void qh_produce_output2(void) {
-  int i, tempsize= qh_setsize(qhmem.tempstack), d_1;
-
-  if (qh PRINTsummary)
-    qh_printsummary(qh ferr);
-  else if (qh PRINTout[0] == qh_PRINTnone)
-    qh_printsummary(qh fout);
-  for (i=0; i < qh_PRINTEND; i++)
-    qh_printfacets(qh fout, qh PRINTout[i], qh facet_list, NULL, !qh_ALL);
-  qh_allstatistics();
-  if (qh PRINTprecision && !qh MERGING && (qh JOGGLEmax > REALmax/2 || qh RERUN))
-    qh_printstats(qh ferr, qhstat precision, NULL);
-  if (qh VERIFYoutput && (zzval_(Zridge) > 0 || zzval_(Zridgemid) > 0))
-    qh_printstats(qh ferr, qhstat vridges, NULL);
-  if (qh PRINTstatistics) {
-    qh_printstatistics(qh ferr, "");
-    qh_memstatistics(qh ferr);
-    d_1= sizeof(setT) + (qh hull_dim - 1) * SETelemsize;
-    qh_fprintf(qh ferr, 8040, "\
-    size in bytes: merge %d ridge %d vertex %d facet %d\n\
-         normal %d ridge vertices %d facet vertices or neighbors %d\n",
-            (int)sizeof(mergeT), (int)sizeof(ridgeT),
-            (int)sizeof(vertexT), (int)sizeof(facetT),
-            qh normal_size, d_1, d_1 + SETelemsize);
-  }
-  if (qh_setsize(qhmem.tempstack) != tempsize) {
-    qh_fprintf(qh ferr, 6065, "qhull internal error (qh_produce_output2): temporary sets not empty(%d)\n",
-             qh_setsize(qhmem.tempstack));
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-} /* produce_output2 */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="dfacet">-</a>
-
-  dfacet( id )
-    print facet by id, for debugging
-
-*/
-void dfacet(unsigned id) {
-  facetT *facet;
-
-  FORALLfacets {
-    if (facet->id == id) {
-      qh_printfacet(qh fout, facet);
-      break;
-    }
-  }
-} /* dfacet */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="dvertex">-</a>
-
-  dvertex( id )
-    print vertex by id, for debugging
-*/
-void dvertex(unsigned id) {
-  vertexT *vertex;
-
-  FORALLvertices {
-    if (vertex->id == id) {
-      qh_printvertex(qh fout, vertex);
-      break;
-    }
-  }
-} /* dvertex */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="compare_vertexpoint">-</a>
-
-  qh_compare_vertexpoint( p1, p2 )
-    used by qsort() to order vertices by point id
-*/
-int qh_compare_vertexpoint(const void *p1, const void *p2) {
-  const vertexT *a= *((vertexT *const*)p1), *b= *((vertexT *const*)p2);
-
-  return((qh_pointid(a->point) > qh_pointid(b->point)?1:-1));
-} /* compare_vertexpoint */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="compare_facetarea">-</a>
-
-  qh_compare_facetarea( p1, p2 )
-    used by qsort() to order facets by area
-*/
-int qh_compare_facetarea(const void *p1, const void *p2) {
-  const facetT *a= *((facetT *const*)p1), *b= *((facetT *const*)p2);
-
-  if (!a->isarea)
-    return -1;
-  if (!b->isarea)
-    return 1;
-  if (a->f.area > b->f.area)
-    return 1;
-  else if (a->f.area == b->f.area)
-    return 0;
-  return -1;
-} /* compare_facetarea */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="compare_facetmerge">-</a>
-
-  qh_compare_facetmerge( p1, p2 )
-    used by qsort() to order facets by number of merges
-*/
-int qh_compare_facetmerge(const void *p1, const void *p2) {
-  const facetT *a= *((facetT *const*)p1), *b= *((facetT *const*)p2);
-
-  return(a->nummerge - b->nummerge);
-} /* compare_facetvisit */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="compare_facetvisit">-</a>
-
-  qh_compare_facetvisit( p1, p2 )
-    used by qsort() to order facets by visit id or id
-*/
-int qh_compare_facetvisit(const void *p1, const void *p2) {
-  const facetT *a= *((facetT *const*)p1), *b= *((facetT *const*)p2);
-  int i,j;
-
-  if (!(i= a->visitid))
-    i= 0 - a->id; /* do not convert to int, sign distinguishes id from visitid */
-  if (!(j= b->visitid))
-    j= 0 - b->id;
-  return(i - j);
-} /* compare_facetvisit */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="copyfilename">-</a>
-
-  qh_copyfilename( dest, size, source, length )
-    copy filename identified by qh_skipfilename()
-
-  notes:
-    see qh_skipfilename() for syntax
-*/
-void qh_copyfilename(char *filename, int size, const char* source, int length) {
-  char c= *source;
-
-  if (length > size + 1) {
-      qh_fprintf(qh ferr, 6040, "qhull error: filename is more than %d characters, %s\n",  size-1, source);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  strncpy(filename, source, length);
-  filename[length]= '\0';
-  if (c == '\'' || c == '"') {
-    char *s= filename + 1;
-    char *t= filename;
-    while (*s) {
-      if (*s == c) {
-          if (s[-1] == '\\')
-              t[-1]= c;
-      }else
-          *t++= *s;
-      s++;
-    }
-    *t= '\0';
-  }
-} /* copyfilename */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="countfacets">-</a>
-
-  qh_countfacets( facetlist, facets, printall,
-          numfacets, numsimplicial, totneighbors, numridges, numcoplanar, numtricoplanars  )
-    count good facets for printing and set visitid
-    if allfacets, ignores qh_skipfacet()
-
-  notes:
-    qh_printsummary and qh_countfacets must match counts
-
-  returns:
-    numfacets, numsimplicial, total neighbors, numridges, coplanars
-    each facet with ->visitid indicating 1-relative position
-      ->visitid==0 indicates not good
-
-  notes
-    numfacets >= numsimplicial
-    if qh.NEWfacets,
-      does not count visible facets (matches qh_printafacet)
-
-  design:
-    for all facets on facetlist and in facets set
-      unless facet is skipped or visible (i.e., will be deleted)
-        mark facet->visitid
-        update counts
-*/
-void qh_countfacets(facetT *facetlist, setT *facets, boolT printall,
-    int *numfacetsp, int *numsimplicialp, int *totneighborsp, int *numridgesp, int *numcoplanarsp, int *numtricoplanarsp) {
-  facetT *facet, **facetp;
-  int numfacets= 0, numsimplicial= 0, numridges= 0, totneighbors= 0, numcoplanars= 0, numtricoplanars= 0;
-
-  FORALLfacet_(facetlist) {
-    if ((facet->visible && qh NEWfacets)
-    || (!printall && qh_skipfacet(facet)))
-      facet->visitid= 0;
-    else {
-      facet->visitid= ++numfacets;
-      totneighbors += qh_setsize(facet->neighbors);
-      if (facet->simplicial) {
-        numsimplicial++;
-        if (facet->keepcentrum && facet->tricoplanar)
-          numtricoplanars++;
-      }else
-        numridges += qh_setsize(facet->ridges);
-      if (facet->coplanarset)
-        numcoplanars += qh_setsize(facet->coplanarset);
-    }
-  }
-
-  FOREACHfacet_(facets) {
-    if ((facet->visible && qh NEWfacets)
-    || (!printall && qh_skipfacet(facet)))
-      facet->visitid= 0;
-    else {
-      facet->visitid= ++numfacets;
-      totneighbors += qh_setsize(facet->neighbors);
-      if (facet->simplicial){
-        numsimplicial++;
-        if (facet->keepcentrum && facet->tricoplanar)
-          numtricoplanars++;
-      }else
-        numridges += qh_setsize(facet->ridges);
-      if (facet->coplanarset)
-        numcoplanars += qh_setsize(facet->coplanarset);
-    }
-  }
-  qh visit_id += numfacets+1;
-  *numfacetsp= numfacets;
-  *numsimplicialp= numsimplicial;
-  *totneighborsp= totneighbors;
-  *numridgesp= numridges;
-  *numcoplanarsp= numcoplanars;
-  *numtricoplanarsp= numtricoplanars;
-} /* countfacets */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="detvnorm">-</a>
-
-  qh_detvnorm( vertex, vertexA, centers, offset )
-    compute separating plane of the Voronoi diagram for a pair of input sites
-    centers= set of facets (i.e., Voronoi vertices)
-      facet->visitid= 0 iff vertex-at-infinity (i.e., unbounded)
-
-  assumes:
-    qh_ASvoronoi and qh_vertexneighbors() already set
-
-  returns:
-    norm
-      a pointer into qh.gm_matrix to qh.hull_dim-1 reals
-      copy the data before reusing qh.gm_matrix
-    offset
-      if 'QVn'
-        sign adjusted so that qh.GOODvertexp is inside
-      else
-        sign adjusted so that vertex is inside
-
-    qh.gm_matrix= simplex of points from centers relative to first center
-
-  notes:
-    in io.c so that code for 'v Tv' can be removed by removing io.c
-    returns pointer into qh.gm_matrix to avoid tracking of temporary memory
-
-  design:
-    determine midpoint of input sites
-    build points as the set of Voronoi vertices
-    select a simplex from points (if necessary)
-      include midpoint if the Voronoi region is unbounded
-    relocate the first vertex of the simplex to the origin
-    compute the normalized hyperplane through the simplex
-    orient the hyperplane toward 'QVn' or 'vertex'
-    if 'Tv' or 'Ts'
-      if bounded
-        test that hyperplane is the perpendicular bisector of the input sites
-      test that Voronoi vertices not in the simplex are still on the hyperplane
-    free up temporary memory
-*/
-pointT *qh_detvnorm(vertexT *vertex, vertexT *vertexA, setT *centers, realT *offsetp) {
-  facetT *facet, **facetp;
-  int  i, k, pointid, pointidA, point_i, point_n;
-  setT *simplex= NULL;
-  pointT *point, **pointp, *point0, *midpoint, *normal, *inpoint;
-  coordT *coord, *gmcoord, *normalp;
-  setT *points= qh_settemp(qh TEMPsize);
-  boolT nearzero= False;
-  boolT unbounded= False;
-  int numcenters= 0;
-  int dim= qh hull_dim - 1;
-  realT dist, offset, angle, zero= 0.0;
-
-  midpoint= qh gm_matrix + qh hull_dim * qh hull_dim;  /* last row */
-  for (k=0; k < dim; k++)
-    midpoint[k]= (vertex->point[k] + vertexA->point[k])/2;
-  FOREACHfacet_(centers) {
-    numcenters++;
-    if (!facet->visitid)
-      unbounded= True;
-    else {
-      if (!facet->center)
-        facet->center= qh_facetcenter(facet->vertices);
-      qh_setappend(&points, facet->center);
-    }
-  }
-  if (numcenters > dim) {
-    simplex= qh_settemp(qh TEMPsize);
-    qh_setappend(&simplex, vertex->point);
-    if (unbounded)
-      qh_setappend(&simplex, midpoint);
-    qh_maxsimplex(dim, points, NULL, 0, &simplex);
-    qh_setdelnth(simplex, 0);
-  }else if (numcenters == dim) {
-    if (unbounded)
-      qh_setappend(&points, midpoint);
-    simplex= points;
-  }else {
-    qh_fprintf(qh ferr, 6216, "qhull internal error (qh_detvnorm): too few points(%d) to compute separating plane\n", numcenters);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  i= 0;
-  gmcoord= qh gm_matrix;
-  point0= SETfirstt_(simplex, pointT);
-  FOREACHpoint_(simplex) {
-    if (qh IStracing >= 4)
-      qh_printmatrix(qh ferr, "qh_detvnorm: Voronoi vertex or midpoint",
-                              &point, 1, dim);
-    if (point != point0) {
-      qh gm_row[i++]= gmcoord;
-      coord= point0;
-      for (k=dim; k--; )
-        *(gmcoord++)= *point++ - *coord++;
-    }
-  }
-  qh gm_row[i]= gmcoord;  /* does not overlap midpoint, may be used later for qh_areasimplex */
-  normal= gmcoord;
-  qh_sethyperplane_gauss(dim, qh gm_row, point0, True,
-                normal, &offset, &nearzero);
-  if (qh GOODvertexp == vertexA->point)
-    inpoint= vertexA->point;
-  else
-    inpoint= vertex->point;
-  zinc_(Zdistio);
-  dist= qh_distnorm(dim, inpoint, normal, &offset);
-  if (dist > 0) {
-    offset= -offset;
-    normalp= normal;
-    for (k=dim; k--; ) {
-      *normalp= -(*normalp);
-      normalp++;
-    }
-  }
-  if (qh VERIFYoutput || qh PRINTstatistics) {
-    pointid= qh_pointid(vertex->point);
-    pointidA= qh_pointid(vertexA->point);
-    if (!unbounded) {
-      zinc_(Zdiststat);
-      dist= qh_distnorm(dim, midpoint, normal, &offset);
-      if (dist < 0)
-        dist= -dist;
-      zzinc_(Zridgemid);
-      wwmax_(Wridgemidmax, dist);
-      wwadd_(Wridgemid, dist);
-      trace4((qh ferr, 4014, "qh_detvnorm: points %d %d midpoint dist %2.2g\n",
-                 pointid, pointidA, dist));
-      for (k=0; k < dim; k++)
-        midpoint[k]= vertexA->point[k] - vertex->point[k];  /* overwrites midpoint! */
-      qh_normalize(midpoint, dim, False);
-      angle= qh_distnorm(dim, midpoint, normal, &zero); /* qh_detangle uses dim+1 */
-      if (angle < 0.0)
-        angle= angle + 1.0;
-      else
-        angle= angle - 1.0;
-      if (angle < 0.0)
-        angle -= angle;
-      trace4((qh ferr, 4015, "qh_detvnorm: points %d %d angle %2.2g nearzero %d\n",
-                 pointid, pointidA, angle, nearzero));
-      if (nearzero) {
-        zzinc_(Zridge0);
-        wwmax_(Wridge0max, angle);
-        wwadd_(Wridge0, angle);
-      }else {
-        zzinc_(Zridgeok)
-        wwmax_(Wridgeokmax, angle);
-        wwadd_(Wridgeok, angle);
-      }
-    }
-    if (simplex != points) {
-      FOREACHpoint_i_(points) {
-        if (!qh_setin(simplex, point)) {
-          facet= SETelemt_(centers, point_i, facetT);
-          zinc_(Zdiststat);
-          dist= qh_distnorm(dim, point, normal, &offset);
-          if (dist < 0)
-            dist= -dist;
-          zzinc_(Zridge);
-          wwmax_(Wridgemax, dist);
-          wwadd_(Wridge, dist);
-          trace4((qh ferr, 4016, "qh_detvnorm: points %d %d Voronoi vertex %d dist %2.2g\n",
-                             pointid, pointidA, facet->visitid, dist));
-        }
-      }
-    }
-  }
-  *offsetp= offset;
-  if (simplex != points)
-    qh_settempfree(&simplex);
-  qh_settempfree(&points);
-  return normal;
-} /* detvnorm */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="detvridge">-</a>
-
-  qh_detvridge( vertexA )
-    determine Voronoi ridge from 'seen' neighbors of vertexA
-    include one vertex-at-infinite if an !neighbor->visitid
-
-  returns:
-    temporary set of centers (facets, i.e., Voronoi vertices)
-    sorted by center id
-*/
-setT *qh_detvridge(vertexT *vertex) {
-  setT *centers= qh_settemp(qh TEMPsize);
-  setT *tricenters= qh_settemp(qh TEMPsize);
-  facetT *neighbor, **neighborp;
-  boolT firstinf= True;
-
-  FOREACHneighbor_(vertex) {
-    if (neighbor->seen) {
-      if (neighbor->visitid) {
-        if (!neighbor->tricoplanar || qh_setunique(&tricenters, neighbor->center))
-          qh_setappend(&centers, neighbor);
-      }else if (firstinf) {
-        firstinf= False;
-        qh_setappend(&centers, neighbor);
-      }
-    }
-  }
-  qsort(SETaddr_(centers, facetT), (size_t)qh_setsize(centers),
-             sizeof(facetT *), qh_compare_facetvisit);
-  qh_settempfree(&tricenters);
-  return centers;
-} /* detvridge */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="detvridge3">-</a>
-
-  qh_detvridge3( atvertex, vertex )
-    determine 3-d Voronoi ridge from 'seen' neighbors of atvertex and vertex
-    include one vertex-at-infinite for !neighbor->visitid
-    assumes all facet->seen2= True
-
-  returns:
-    temporary set of centers (facets, i.e., Voronoi vertices)
-    listed in adjacency order (!oriented)
-    all facet->seen2= True
-
-  design:
-    mark all neighbors of atvertex
-    for each adjacent neighbor of both atvertex and vertex
-      if neighbor selected
-        add neighbor to set of Voronoi vertices
-*/
-setT *qh_detvridge3 (vertexT *atvertex, vertexT *vertex) {
-  setT *centers= qh_settemp(qh TEMPsize);
-  setT *tricenters= qh_settemp(qh TEMPsize);
-  facetT *neighbor, **neighborp, *facet= NULL;
-  boolT firstinf= True;
-
-  FOREACHneighbor_(atvertex)
-    neighbor->seen2= False;
-  FOREACHneighbor_(vertex) {
-    if (!neighbor->seen2) {
-      facet= neighbor;
-      break;
-    }
-  }
-  while (facet) {
-    facet->seen2= True;
-    if (neighbor->seen) {
-      if (facet->visitid) {
-        if (!facet->tricoplanar || qh_setunique(&tricenters, facet->center))
-          qh_setappend(&centers, facet);
-      }else if (firstinf) {
-        firstinf= False;
-        qh_setappend(&centers, facet);
-      }
-    }
-    FOREACHneighbor_(facet) {
-      if (!neighbor->seen2) {
-        if (qh_setin(vertex->neighbors, neighbor))
-          break;
-        else
-          neighbor->seen2= True;
-      }
-    }
-    facet= neighbor;
-  }
-  if (qh CHECKfrequently) {
-    FOREACHneighbor_(vertex) {
-      if (!neighbor->seen2) {
-          qh_fprintf(qh ferr, 6217, "qhull internal error (qh_detvridge3): neighbors of vertex p%d are not connected at facet %d\n",
-                 qh_pointid(vertex->point), neighbor->id);
-        qh_errexit(qh_ERRqhull, neighbor, NULL);
-      }
-    }
-  }
-  FOREACHneighbor_(atvertex)
-    neighbor->seen2= True;
-  qh_settempfree(&tricenters);
-  return centers;
-} /* detvridge3 */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="eachvoronoi">-</a>
-
-  qh_eachvoronoi( fp, printvridge, vertex, visitall, innerouter, inorder )
-    if visitall,
-      visit all Voronoi ridges for vertex (i.e., an input site)
-    else
-      visit all unvisited Voronoi ridges for vertex
-      all vertex->seen= False if unvisited
-    assumes
-      all facet->seen= False
-      all facet->seen2= True (for qh_detvridge3)
-      all facet->visitid == 0 if vertex_at_infinity
-                         == index of Voronoi vertex
-                         >= qh.num_facets if ignored
-    innerouter:
-      qh_RIDGEall--  both inner (bounded) and outer(unbounded) ridges
-      qh_RIDGEinner- only inner
-      qh_RIDGEouter- only outer
-
-    if inorder
-      orders vertices for 3-d Voronoi diagrams
-
-  returns:
-    number of visited ridges (does not include previously visited ridges)
-
-    if printvridge,
-      calls printvridge( fp, vertex, vertexA, centers)
-        fp== any pointer (assumes FILE*)
-        vertex,vertexA= pair of input sites that define a Voronoi ridge
-        centers= set of facets (i.e., Voronoi vertices)
-                 ->visitid == index or 0 if vertex_at_infinity
-                 ordered for 3-d Voronoi diagram
-  notes:
-    uses qh.vertex_visit
-
-  see:
-    qh_eachvoronoi_all()
-
-  design:
-    mark selected neighbors of atvertex
-    for each selected neighbor (either Voronoi vertex or vertex-at-infinity)
-      for each unvisited vertex
-        if atvertex and vertex share more than d-1 neighbors
-          bump totalcount
-          if printvridge defined
-            build the set of shared neighbors (i.e., Voronoi vertices)
-            call printvridge
-*/
-int qh_eachvoronoi(FILE *fp, printvridgeT printvridge, vertexT *atvertex, boolT visitall, qh_RIDGE innerouter, boolT inorder) {
-  boolT unbounded;
-  int count;
-  facetT *neighbor, **neighborp, *neighborA, **neighborAp;
-  setT *centers;
-  setT *tricenters= qh_settemp(qh TEMPsize);
-
-  vertexT *vertex, **vertexp;
-  boolT firstinf;
-  unsigned int numfacets= (unsigned int)qh num_facets;
-  int totridges= 0;
-
-  qh vertex_visit++;
-  atvertex->seen= True;
-  if (visitall) {
-    FORALLvertices
-      vertex->seen= False;
-  }
-  FOREACHneighbor_(atvertex) {
-    if (neighbor->visitid < numfacets)
-      neighbor->seen= True;
-  }
-  FOREACHneighbor_(atvertex) {
-    if (neighbor->seen) {
-      FOREACHvertex_(neighbor->vertices) {
-        if (vertex->visitid != qh vertex_visit && !vertex->seen) {
-          vertex->visitid= qh vertex_visit;
-          count= 0;
-          firstinf= True;
-          qh_settruncate(tricenters, 0);
-          FOREACHneighborA_(vertex) {
-            if (neighborA->seen) {
-              if (neighborA->visitid) {
-                if (!neighborA->tricoplanar || qh_setunique(&tricenters, neighborA->center))
-                  count++;
-              }else if (firstinf) {
-                count++;
-                firstinf= False;
-              }
-            }
-          }
-          if (count >= qh hull_dim - 1) {  /* e.g., 3 for 3-d Voronoi */
-            if (firstinf) {
-              if (innerouter == qh_RIDGEouter)
-                continue;
-              unbounded= False;
-            }else {
-              if (innerouter == qh_RIDGEinner)
-                continue;
-              unbounded= True;
-            }
-            totridges++;
-            trace4((qh ferr, 4017, "qh_eachvoronoi: Voronoi ridge of %d vertices between sites %d and %d\n",
-                  count, qh_pointid(atvertex->point), qh_pointid(vertex->point)));
-            if (printvridge && fp) {
-              if (inorder && qh hull_dim == 3+1) /* 3-d Voronoi diagram */
-                centers= qh_detvridge3 (atvertex, vertex);
-              else
-                centers= qh_detvridge(vertex);
-              (*printvridge) (fp, atvertex, vertex, centers, unbounded);
-              qh_settempfree(&centers);
-            }
-          }
-        }
-      }
-    }
-  }
-  FOREACHneighbor_(atvertex)
-    neighbor->seen= False;
-  qh_settempfree(&tricenters);
-  return totridges;
-} /* eachvoronoi */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="eachvoronoi_all">-</a>
-
-  qh_eachvoronoi_all( fp, printvridge, isUpper, innerouter, inorder )
-    visit all Voronoi ridges
-
-    innerouter:
-      see qh_eachvoronoi()
-
-    if inorder
-      orders vertices for 3-d Voronoi diagrams
-
-  returns
-    total number of ridges
-
-    if isUpper == facet->upperdelaunay  (i.e., a Vornoi vertex)
-      facet->visitid= Voronoi vertex index(same as 'o' format)
-    else
-      facet->visitid= 0
-
-    if printvridge,
-      calls printvridge( fp, vertex, vertexA, centers)
-      [see qh_eachvoronoi]
-
-  notes:
-    Not used for qhull.exe
-    same effect as qh_printvdiagram but ridges not sorted by point id
-*/
-int qh_eachvoronoi_all(FILE *fp, printvridgeT printvridge, boolT isUpper, qh_RIDGE innerouter, boolT inorder) {
-  facetT *facet;
-  vertexT *vertex;
-  int numcenters= 1;  /* vertex 0 is vertex-at-infinity */
-  int totridges= 0;
-
-  qh_clearcenters(qh_ASvoronoi);
-  qh_vertexneighbors();
-  maximize_(qh visit_id, (unsigned) qh num_facets);
-  FORALLfacets {
-    facet->visitid= 0;
-    facet->seen= False;
-    facet->seen2= True;
-  }
-  FORALLfacets {
-    if (facet->upperdelaunay == isUpper)
-      facet->visitid= numcenters++;
-  }
-  FORALLvertices
-    vertex->seen= False;
-  FORALLvertices {
-    if (qh GOODvertex > 0 && qh_pointid(vertex->point)+1 != qh GOODvertex)
-      continue;
-    totridges += qh_eachvoronoi(fp, printvridge, vertex,
-                   !qh_ALL, innerouter, inorder);
-  }
-  return totridges;
-} /* eachvoronoi_all */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="facet2point">-</a>
-
-  qh_facet2point( facet, point0, point1, mindist )
-    return two projected temporary vertices for a 2-d facet
-    may be non-simplicial
-
-  returns:
-    point0 and point1 oriented and projected to the facet
-    returns mindist (maximum distance below plane)
-*/
-void qh_facet2point(facetT *facet, pointT **point0, pointT **point1, realT *mindist) {
-  vertexT *vertex0, *vertex1;
-  realT dist;
-
-  if (facet->toporient ^ qh_ORIENTclock) {
-    vertex0= SETfirstt_(facet->vertices, vertexT);
-    vertex1= SETsecondt_(facet->vertices, vertexT);
-  }else {
-    vertex1= SETfirstt_(facet->vertices, vertexT);
-    vertex0= SETsecondt_(facet->vertices, vertexT);
-  }
-  zadd_(Zdistio, 2);
-  qh_distplane(vertex0->point, facet, &dist);
-  *mindist= dist;
-  *point0= qh_projectpoint(vertex0->point, facet, dist);
-  qh_distplane(vertex1->point, facet, &dist);
-  minimize_(*mindist, dist);
-  *point1= qh_projectpoint(vertex1->point, facet, dist);
-} /* facet2point */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="facetvertices">-</a>
-
-  qh_facetvertices( facetlist, facets, allfacets )
-    returns temporary set of vertices in a set and/or list of facets
-    if allfacets, ignores qh_skipfacet()
-
-  returns:
-    vertices with qh.vertex_visit
-
-  notes:
-    optimized for allfacets of facet_list
-
-  design:
-    if allfacets of facet_list
-      create vertex set from vertex_list
-    else
-      for each selected facet in facets or facetlist
-        append unvisited vertices to vertex set
-*/
-setT *qh_facetvertices(facetT *facetlist, setT *facets, boolT allfacets) {
-  setT *vertices;
-  facetT *facet, **facetp;
-  vertexT *vertex, **vertexp;
-
-  qh vertex_visit++;
-  if (facetlist == qh facet_list && allfacets && !facets) {
-    vertices= qh_settemp(qh num_vertices);
-    FORALLvertices {
-      vertex->visitid= qh vertex_visit;
-      qh_setappend(&vertices, vertex);
-    }
-  }else {
-    vertices= qh_settemp(qh TEMPsize);
-    FORALLfacet_(facetlist) {
-      if (!allfacets && qh_skipfacet(facet))
-        continue;
-      FOREACHvertex_(facet->vertices) {
-        if (vertex->visitid != qh vertex_visit) {
-          vertex->visitid= qh vertex_visit;
-          qh_setappend(&vertices, vertex);
-        }
-      }
-    }
-  }
-  FOREACHfacet_(facets) {
-    if (!allfacets && qh_skipfacet(facet))
-      continue;
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->visitid != qh vertex_visit) {
-        vertex->visitid= qh vertex_visit;
-        qh_setappend(&vertices, vertex);
-      }
-    }
-  }
-  return vertices;
-} /* facetvertices */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="geomplanes">-</a>
-
-  qh_geomplanes( facet, outerplane, innerplane )
-    return outer and inner planes for Geomview
-    qh.PRINTradius is size of vertices and points (includes qh.JOGGLEmax)
-
-  notes:
-    assume precise calculations in io.c with roundoff covered by qh_GEOMepsilon
-*/
-void qh_geomplanes(facetT *facet, realT *outerplane, realT *innerplane) {
-  realT radius;
-
-  if (qh MERGING || qh JOGGLEmax < REALmax/2) {
-    qh_outerinner(facet, outerplane, innerplane);
-    radius= qh PRINTradius;
-    if (qh JOGGLEmax < REALmax/2)
-      radius -= qh JOGGLEmax * sqrt((realT)qh hull_dim);  /* already accounted for in qh_outerinner() */
-    *outerplane += radius;
-    *innerplane -= radius;
-    if (qh PRINTcoplanar || qh PRINTspheres) {
-      *outerplane += qh MAXabs_coord * qh_GEOMepsilon;
-      *innerplane -= qh MAXabs_coord * qh_GEOMepsilon;
-    }
-  }else
-    *innerplane= *outerplane= 0;
-} /* geomplanes */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="markkeep">-</a>
-
-  qh_markkeep( facetlist )
-    mark good facets that meet qh.KEEParea, qh.KEEPmerge, and qh.KEEPminArea
-    ignores visible facets (!part of convex hull)
-
-  returns:
-    may clear facet->good
-    recomputes qh.num_good
-
-  design:
-    get set of good facets
-    if qh.KEEParea
-      sort facets by area
-      clear facet->good for all but n largest facets
-    if qh.KEEPmerge
-      sort facets by merge count
-      clear facet->good for all but n most merged facets
-    if qh.KEEPminarea
-      clear facet->good if area too small
-    update qh.num_good
-*/
-void qh_markkeep(facetT *facetlist) {
-  facetT *facet, **facetp;
-  setT *facets= qh_settemp(qh num_facets);
-  int size, count;
-
-  trace2((qh ferr, 2006, "qh_markkeep: only keep %d largest and/or %d most merged facets and/or min area %.2g\n",
-          qh KEEParea, qh KEEPmerge, qh KEEPminArea));
-  FORALLfacet_(facetlist) {
-    if (!facet->visible && facet->good)
-      qh_setappend(&facets, facet);
-  }
-  size= qh_setsize(facets);
-  if (qh KEEParea) {
-    qsort(SETaddr_(facets, facetT), (size_t)size,
-             sizeof(facetT *), qh_compare_facetarea);
-    if ((count= size - qh KEEParea) > 0) {
-      FOREACHfacet_(facets) {
-        facet->good= False;
-        if (--count == 0)
-          break;
-      }
-    }
-  }
-  if (qh KEEPmerge) {
-    qsort(SETaddr_(facets, facetT), (size_t)size,
-             sizeof(facetT *), qh_compare_facetmerge);
-    if ((count= size - qh KEEPmerge) > 0) {
-      FOREACHfacet_(facets) {
-        facet->good= False;
-        if (--count == 0)
-          break;
-      }
-    }
-  }
-  if (qh KEEPminArea < REALmax/2) {
-    FOREACHfacet_(facets) {
-      if (!facet->isarea || facet->f.area < qh KEEPminArea)
-        facet->good= False;
-    }
-  }
-  qh_settempfree(&facets);
-  count= 0;
-  FORALLfacet_(facetlist) {
-    if (facet->good)
-      count++;
-  }
-  qh num_good= count;
-} /* markkeep */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="markvoronoi">-</a>
-
-  qh_markvoronoi( facetlist, facets, printall, isLower, numcenters )
-    mark voronoi vertices for printing by site pairs
-
-  returns:
-    temporary set of vertices indexed by pointid
-    isLower set if printing lower hull (i.e., at least one facet is lower hull)
-    numcenters= total number of Voronoi vertices
-    bumps qh.printoutnum for vertex-at-infinity
-    clears all facet->seen and sets facet->seen2
-
-    if selected
-      facet->visitid= Voronoi vertex id
-    else if upper hull (or 'Qu' and lower hull)
-      facet->visitid= 0
-    else
-      facet->visitid >= qh num_facets
-
-  notes:
-    ignores qh.ATinfinity, if defined
-*/
-setT *qh_markvoronoi(facetT *facetlist, setT *facets, boolT printall, boolT *isLowerp, int *numcentersp) {
-  int numcenters=0;
-  facetT *facet, **facetp;
-  setT *vertices;
-  boolT isLower= False;
-
-  qh printoutnum++;
-  qh_clearcenters(qh_ASvoronoi);  /* in case, qh_printvdiagram2 called by user */
-  qh_vertexneighbors();
-  vertices= qh_pointvertex();
-  if (qh ATinfinity)
-    SETelem_(vertices, qh num_points-1)= NULL;
-  qh visit_id++;
-  maximize_(qh visit_id, (unsigned) qh num_facets);
-  FORALLfacet_(facetlist) {
-    if (printall || !qh_skipfacet(facet)) {
-      if (!facet->upperdelaunay) {
-        isLower= True;
-        break;
-      }
-    }
-  }
-  FOREACHfacet_(facets) {
-    if (printall || !qh_skipfacet(facet)) {
-      if (!facet->upperdelaunay) {
-        isLower= True;
-        break;
-      }
-    }
-  }
-  FORALLfacets {
-    if (facet->normal && (facet->upperdelaunay == isLower))
-      facet->visitid= 0;  /* facetlist or facets may overwrite */
-    else
-      facet->visitid= qh visit_id;
-    facet->seen= False;
-    facet->seen2= True;
-  }
-  numcenters++;  /* qh_INFINITE */
-  FORALLfacet_(facetlist) {
-    if (printall || !qh_skipfacet(facet))
-      facet->visitid= numcenters++;
-  }
-  FOREACHfacet_(facets) {
-    if (printall || !qh_skipfacet(facet))
-      facet->visitid= numcenters++;
-  }
-  *isLowerp= isLower;
-  *numcentersp= numcenters;
-  trace2((qh ferr, 2007, "qh_markvoronoi: isLower %d numcenters %d\n", isLower, numcenters));
-  return vertices;
-} /* markvoronoi */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="order_vertexneighbors">-</a>
-
-  qh_order_vertexneighbors( vertex )
-    order facet neighbors of a 2-d or 3-d vertex by adjacency
-
-  notes:
-    does not orient the neighbors
-
-  design:
-    initialize a new neighbor set with the first facet in vertex->neighbors
-    while vertex->neighbors non-empty
-      select next neighbor in the previous facet's neighbor set
-    set vertex->neighbors to the new neighbor set
-*/
-void qh_order_vertexneighbors(vertexT *vertex) {
-  setT *newset;
-  facetT *facet, *neighbor, **neighborp;
-
-  trace4((qh ferr, 4018, "qh_order_vertexneighbors: order neighbors of v%d for 3-d\n", vertex->id));
-  newset= qh_settemp(qh_setsize(vertex->neighbors));
-  facet= (facetT*)qh_setdellast(vertex->neighbors);
-  qh_setappend(&newset, facet);
-  while (qh_setsize(vertex->neighbors)) {
-    FOREACHneighbor_(vertex) {
-      if (qh_setin(facet->neighbors, neighbor)) {
-        qh_setdel(vertex->neighbors, neighbor);
-        qh_setappend(&newset, neighbor);
-        facet= neighbor;
-        break;
-      }
-    }
-    if (!neighbor) {
-      qh_fprintf(qh ferr, 6066, "qhull internal error (qh_order_vertexneighbors): no neighbor of v%d for f%d\n",
-        vertex->id, facet->id);
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-  }
-  qh_setfree(&vertex->neighbors);
-  qh_settemppop();
-  vertex->neighbors= newset;
-} /* order_vertexneighbors */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="prepare_output">-</a>
-
-  qh_prepare_output( )
-    prepare for qh_produce_output2() according to
-      qh.KEEPminArea, KEEParea, KEEPmerge, GOODvertex, GOODthreshold, GOODpoint, ONLYgood, SPLITthresholds
-    does not reset facet->good
-
-  notes
-    except for PRINTstatistics, no-op if previously called with same options
-*/
-void qh_prepare_output(void) {
-  if (qh VORONOI) {
-    qh_clearcenters (qh_ASvoronoi);
-    qh_vertexneighbors();
-  }
-  if (qh TRIangulate && !qh hasTriangulation) {
-    qh_triangulate();
-    if (qh VERIFYoutput && !qh CHECKfrequently)
-      qh_checkpolygon (qh facet_list);
-  }
-  qh_findgood_all (qh facet_list);
-  if (qh GETarea)
-    qh_getarea(qh facet_list);
-  if (qh KEEParea || qh KEEPmerge || qh KEEPminArea < REALmax/2)
-    qh_markkeep (qh facet_list);
-  if (qh PRINTstatistics)
-    qh_collectstatistics();
-}
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printafacet">-</a>
-
-  qh_printafacet( fp, format, facet, printall )
-    print facet to fp in given output format (see qh.PRINTout)
-
-  returns:
-    nop if !printall and qh_skipfacet()
-    nop if visible facet and NEWfacets and format != PRINTfacets
-    must match qh_countfacets
-
-  notes
-    preserves qh.visit_id
-    facet->normal may be null if PREmerge/MERGEexact and STOPcone before merge
-
-  see
-    qh_printbegin() and qh_printend()
-
-  design:
-    test for printing facet
-    call appropriate routine for format
-    or output results directly
-*/
-void qh_printafacet(FILE *fp, qh_PRINT format, facetT *facet, boolT printall) {
-  realT color[4], offset, dist, outerplane, innerplane;
-  boolT zerodiv;
-  coordT *point, *normp, *coordp, **pointp, *feasiblep;
-  int k;
-  vertexT *vertex, **vertexp;
-  facetT *neighbor, **neighborp;
-
-  if (!printall && qh_skipfacet(facet))
-    return;
-  if (facet->visible && qh NEWfacets && format != qh_PRINTfacets)
-    return;
-  qh printoutnum++;
-  switch (format) {
-  case qh_PRINTarea:
-    if (facet->isarea) {
-      qh_fprintf(fp, 9009, qh_REAL_1, facet->f.area);
-      qh_fprintf(fp, 9010, "\n");
-    }else
-      qh_fprintf(fp, 9011, "0\n");
-    break;
-  case qh_PRINTcoplanars:
-    qh_fprintf(fp, 9012, "%d", qh_setsize(facet->coplanarset));
-    FOREACHpoint_(facet->coplanarset)
-      qh_fprintf(fp, 9013, " %d", qh_pointid(point));
-    qh_fprintf(fp, 9014, "\n");
-    break;
-  case qh_PRINTcentrums:
-    qh_printcenter(fp, format, NULL, facet);
-    break;
-  case qh_PRINTfacets:
-    qh_printfacet(fp, facet);
-    break;
-  case qh_PRINTfacets_xridge:
-    qh_printfacetheader(fp, facet);
-    break;
-  case qh_PRINTgeom:  /* either 2 , 3, or 4-d by qh_printbegin */
-    if (!facet->normal)
-      break;
-    for (k=qh hull_dim; k--; ) {
-      color[k]= (facet->normal[k]+1.0)/2.0;
-      maximize_(color[k], -1.0);
-      minimize_(color[k], +1.0);
-    }
-    qh_projectdim3 (color, color);
-    if (qh PRINTdim != qh hull_dim)
-      qh_normalize2 (color, 3, True, NULL, NULL);
-    if (qh hull_dim <= 2)
-      qh_printfacet2geom(fp, facet, color);
-    else if (qh hull_dim == 3) {
-      if (facet->simplicial)
-        qh_printfacet3geom_simplicial(fp, facet, color);
-      else
-        qh_printfacet3geom_nonsimplicial(fp, facet, color);
-    }else {
-      if (facet->simplicial)
-        qh_printfacet4geom_simplicial(fp, facet, color);
-      else
-        qh_printfacet4geom_nonsimplicial(fp, facet, color);
-    }
-    break;
-  case qh_PRINTids:
-    qh_fprintf(fp, 9015, "%d\n", facet->id);
-    break;
-  case qh_PRINTincidences:
-  case qh_PRINToff:
-  case qh_PRINTtriangles:
-    if (qh hull_dim == 3 && format != qh_PRINTtriangles)
-      qh_printfacet3vertex(fp, facet, format);
-    else if (facet->simplicial || qh hull_dim == 2 || format == qh_PRINToff)
-      qh_printfacetNvertex_simplicial(fp, facet, format);
-    else
-      qh_printfacetNvertex_nonsimplicial(fp, facet, qh printoutvar++, format);
-    break;
-  case qh_PRINTinner:
-    qh_outerinner(facet, NULL, &innerplane);
-    offset= facet->offset - innerplane;
-    goto LABELprintnorm;
-    break; /* prevent warning */
-  case qh_PRINTmerges:
-    qh_fprintf(fp, 9016, "%d\n", facet->nummerge);
-    break;
-  case qh_PRINTnormals:
-    offset= facet->offset;
-    goto LABELprintnorm;
-    break; /* prevent warning */
-  case qh_PRINTouter:
-    qh_outerinner(facet, &outerplane, NULL);
-    offset= facet->offset - outerplane;
-  LABELprintnorm:
-    if (!facet->normal) {
-      qh_fprintf(fp, 9017, "no normal for facet f%d\n", facet->id);
-      break;
-    }
-    if (qh CDDoutput) {
-      qh_fprintf(fp, 9018, qh_REAL_1, -offset);
-      for (k=0; k < qh hull_dim; k++)
-        qh_fprintf(fp, 9019, qh_REAL_1, -facet->normal[k]);
-    }else {
-      for (k=0; k < qh hull_dim; k++)
-        qh_fprintf(fp, 9020, qh_REAL_1, facet->normal[k]);
-      qh_fprintf(fp, 9021, qh_REAL_1, offset);
-    }
-    qh_fprintf(fp, 9022, "\n");
-    break;
-  case qh_PRINTmathematica:  /* either 2 or 3-d by qh_printbegin */
-  case qh_PRINTmaple:
-    if (qh hull_dim == 2)
-      qh_printfacet2math(fp, facet, format, qh printoutvar++);
-    else
-      qh_printfacet3math(fp, facet, format, qh printoutvar++);
-    break;
-  case qh_PRINTneighbors:
-    qh_fprintf(fp, 9023, "%d", qh_setsize(facet->neighbors));
-    FOREACHneighbor_(facet)
-      qh_fprintf(fp, 9024, " %d",
-               neighbor->visitid ? neighbor->visitid - 1: 0 - neighbor->id);
-    qh_fprintf(fp, 9025, "\n");
-    break;
-  case qh_PRINTpointintersect:
-    if (!qh feasible_point) {
-      qh_fprintf(qh ferr, 6067, "qhull input error (qh_printafacet): option 'Fp' needs qh feasible_point\n");
-      qh_errexit( qh_ERRinput, NULL, NULL);
-    }
-    if (facet->offset > 0)
-      goto LABELprintinfinite;
-    point= coordp= (coordT*)qh_memalloc(qh normal_size);
-    normp= facet->normal;
-    feasiblep= qh feasible_point;
-    if (facet->offset < -qh MINdenom) {
-      for (k=qh hull_dim; k--; )
-        *(coordp++)= (*(normp++) / - facet->offset) + *(feasiblep++);
-    }else {
-      for (k=qh hull_dim; k--; ) {
-        *(coordp++)= qh_divzero(*(normp++), facet->offset, qh MINdenom_1,
-                                 &zerodiv) + *(feasiblep++);
-        if (zerodiv) {
-          qh_memfree(point, qh normal_size);
-          goto LABELprintinfinite;
-        }
-      }
-    }
-    qh_printpoint(fp, NULL, point);
-    qh_memfree(point, qh normal_size);
-    break;
-  LABELprintinfinite:
-    for (k=qh hull_dim; k--; )
-      qh_fprintf(fp, 9026, qh_REAL_1, qh_INFINITE);
-    qh_fprintf(fp, 9027, "\n");
-    break;
-  case qh_PRINTpointnearest:
-    FOREACHpoint_(facet->coplanarset) {
-      int id, id2;
-      vertex= qh_nearvertex(facet, point, &dist);
-      id= qh_pointid(vertex->point);
-      id2= qh_pointid(point);
-      qh_fprintf(fp, 9028, "%d %d %d " qh_REAL_1 "\n", id, id2, facet->id, dist);
-    }
-    break;
-  case qh_PRINTpoints:  /* VORONOI only by qh_printbegin */
-    if (qh CDDoutput)
-      qh_fprintf(fp, 9029, "1 ");
-    qh_printcenter(fp, format, NULL, facet);
-    break;
-  case qh_PRINTvertices:
-    qh_fprintf(fp, 9030, "%d", qh_setsize(facet->vertices));
-    FOREACHvertex_(facet->vertices)
-      qh_fprintf(fp, 9031, " %d", qh_pointid(vertex->point));
-    qh_fprintf(fp, 9032, "\n");
-    break;
-  default:
-    break;
-  }
-} /* printafacet */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printbegin">-</a>
-
-  qh_printbegin(  )
-    prints header for all output formats
-
-  returns:
-    checks for valid format
-
-  notes:
-    uses qh.visit_id for 3/4off
-    changes qh.interior_point if printing centrums
-    qh_countfacets clears facet->visitid for non-good facets
-
-  see
-    qh_printend() and qh_printafacet()
-
-  design:
-    count facets and related statistics
-    print header for format
-*/
-void qh_printbegin(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall) {
-  int numfacets, numsimplicial, numridges, totneighbors, numcoplanars, numtricoplanars;
-  int i, num;
-  facetT *facet, **facetp;
-  vertexT *vertex, **vertexp;
-  setT *vertices;
-  pointT *point, **pointp, *pointtemp;
-
-  qh printoutnum= 0;
-  qh_countfacets(facetlist, facets, printall, &numfacets, &numsimplicial,
-      &totneighbors, &numridges, &numcoplanars, &numtricoplanars);
-  switch (format) {
-  case qh_PRINTnone:
-    break;
-  case qh_PRINTarea:
-    qh_fprintf(fp, 9033, "%d\n", numfacets);
-    break;
-  case qh_PRINTcoplanars:
-    qh_fprintf(fp, 9034, "%d\n", numfacets);
-    break;
-  case qh_PRINTcentrums:
-    if (qh CENTERtype == qh_ASnone)
-      qh_clearcenters(qh_AScentrum);
-    qh_fprintf(fp, 9035, "%d\n%d\n", qh hull_dim, numfacets);
-    break;
-  case qh_PRINTfacets:
-  case qh_PRINTfacets_xridge:
-    if (facetlist)
-      qh_printvertexlist(fp, "Vertices and facets:\n", facetlist, facets, printall);
-    break;
-  case qh_PRINTgeom:
-    if (qh hull_dim > 4)  /* qh_initqhull_globals also checks */
-      goto LABELnoformat;
-    if (qh VORONOI && qh hull_dim > 3)  /* PRINTdim == DROPdim == hull_dim-1 */
-      goto LABELnoformat;
-    if (qh hull_dim == 2 && (qh PRINTridges || qh DOintersections))
-      qh_fprintf(qh ferr, 7049, "qhull warning: output for ridges and intersections not implemented in 2-d\n");
-    if (qh hull_dim == 4 && (qh PRINTinner || qh PRINTouter ||
-                             (qh PRINTdim == 4 && qh PRINTcentrums)))
-      qh_fprintf(qh ferr, 7050, "qhull warning: output for outer/inner planes and centrums not implemented in 4-d\n");
-    if (qh PRINTdim == 4 && (qh PRINTspheres))
-      qh_fprintf(qh ferr, 7051, "qhull warning: output for vertices not implemented in 4-d\n");
-    if (qh PRINTdim == 4 && qh DOintersections && qh PRINTnoplanes)
-      qh_fprintf(qh ferr, 7052, "qhull warning: 'Gnh' generates no output in 4-d\n");
-    if (qh PRINTdim == 2) {
-      qh_fprintf(fp, 9036, "{appearance {linewidth 3} LIST # %s | %s\n",
-              qh rbox_command, qh qhull_command);
-    }else if (qh PRINTdim == 3) {
-      qh_fprintf(fp, 9037, "{appearance {+edge -evert linewidth 2} LIST # %s | %s\n",
-              qh rbox_command, qh qhull_command);
-    }else if (qh PRINTdim == 4) {
-      qh visit_id++;
-      num= 0;
-      FORALLfacet_(facetlist)    /* get number of ridges to be printed */
-        qh_printend4geom(NULL, facet, &num, printall);
-      FOREACHfacet_(facets)
-        qh_printend4geom(NULL, facet, &num, printall);
-      qh ridgeoutnum= num;
-      qh printoutvar= 0;  /* counts number of ridges in output */
-      qh_fprintf(fp, 9038, "LIST # %s | %s\n", qh rbox_command, qh qhull_command);
-    }
-
-    if (qh PRINTdots) {
-      qh printoutnum++;
-      num= qh num_points + qh_setsize(qh other_points);
-      if (qh DELAUNAY && qh ATinfinity)
-        num--;
-      if (qh PRINTdim == 4)
-        qh_fprintf(fp, 9039, "4VECT %d %d 1\n", num, num);
-      else
-        qh_fprintf(fp, 9040, "VECT %d %d 1\n", num, num);
-
-      for (i=num; i--; ) {
-        if (i % 20 == 0)
-          qh_fprintf(fp, 9041, "\n");
-        qh_fprintf(fp, 9042, "1 ");
-      }
-      qh_fprintf(fp, 9043, "# 1 point per line\n1 ");
-      for (i=num-1; i--; ) { /* num at least 3 for D2 */
-        if (i % 20 == 0)
-          qh_fprintf(fp, 9044, "\n");
-        qh_fprintf(fp, 9045, "0 ");
-      }
-      qh_fprintf(fp, 9046, "# 1 color for all\n");
-      FORALLpoints {
-        if (!qh DELAUNAY || !qh ATinfinity || qh_pointid(point) != qh num_points-1) {
-          if (qh PRINTdim == 4)
-            qh_printpoint(fp, NULL, point);
-            else
-              qh_printpoint3 (fp, point);
-        }
-      }
-      FOREACHpoint_(qh other_points) {
-        if (qh PRINTdim == 4)
-          qh_printpoint(fp, NULL, point);
-        else
-          qh_printpoint3 (fp, point);
-      }
-      qh_fprintf(fp, 9047, "0 1 1 1  # color of points\n");
-    }
-
-    if (qh PRINTdim == 4  && !qh PRINTnoplanes)
-      /* 4dview loads up multiple 4OFF objects slowly */
-      qh_fprintf(fp, 9048, "4OFF %d %d 1\n", 3*qh ridgeoutnum, qh ridgeoutnum);
-    qh PRINTcradius= 2 * qh DISTround;  /* include test DISTround */
-    if (qh PREmerge) {
-      maximize_(qh PRINTcradius, qh premerge_centrum + qh DISTround);
-    }else if (qh POSTmerge)
-      maximize_(qh PRINTcradius, qh postmerge_centrum + qh DISTround);
-    qh PRINTradius= qh PRINTcradius;
-    if (qh PRINTspheres + qh PRINTcoplanar)
-      maximize_(qh PRINTradius, qh MAXabs_coord * qh_MINradius);
-    if (qh premerge_cos < REALmax/2) {
-      maximize_(qh PRINTradius, (1- qh premerge_cos) * qh MAXabs_coord);
-    }else if (!qh PREmerge && qh POSTmerge && qh postmerge_cos < REALmax/2) {
-      maximize_(qh PRINTradius, (1- qh postmerge_cos) * qh MAXabs_coord);
-    }
-    maximize_(qh PRINTradius, qh MINvisible);
-    if (qh JOGGLEmax < REALmax/2)
-      qh PRINTradius += qh JOGGLEmax * sqrt((realT)qh hull_dim);
-    if (qh PRINTdim != 4 &&
-        (qh PRINTcoplanar || qh PRINTspheres || qh PRINTcentrums)) {
-      vertices= qh_facetvertices(facetlist, facets, printall);
-      if (qh PRINTspheres && qh PRINTdim <= 3)
-        qh_printspheres(fp, vertices, qh PRINTradius);
-      if (qh PRINTcoplanar || qh PRINTcentrums) {
-        qh firstcentrum= True;
-        if (qh PRINTcoplanar&& !qh PRINTspheres) {
-          FOREACHvertex_(vertices)
-            qh_printpointvect2 (fp, vertex->point, NULL, qh interior_point, qh PRINTradius);
-        }
-        FORALLfacet_(facetlist) {
-          if (!printall && qh_skipfacet(facet))
-            continue;
-          if (!facet->normal)
-            continue;
-          if (qh PRINTcentrums && qh PRINTdim <= 3)
-            qh_printcentrum(fp, facet, qh PRINTcradius);
-          if (!qh PRINTcoplanar)
-            continue;
-          FOREACHpoint_(facet->coplanarset)
-            qh_printpointvect2 (fp, point, facet->normal, NULL, qh PRINTradius);
-          FOREACHpoint_(facet->outsideset)
-            qh_printpointvect2 (fp, point, facet->normal, NULL, qh PRINTradius);
-        }
-        FOREACHfacet_(facets) {
-          if (!printall && qh_skipfacet(facet))
-            continue;
-          if (!facet->normal)
-            continue;
-          if (qh PRINTcentrums && qh PRINTdim <= 3)
-            qh_printcentrum(fp, facet, qh PRINTcradius);
-          if (!qh PRINTcoplanar)
-            continue;
-          FOREACHpoint_(facet->coplanarset)
-            qh_printpointvect2 (fp, point, facet->normal, NULL, qh PRINTradius);
-          FOREACHpoint_(facet->outsideset)
-            qh_printpointvect2 (fp, point, facet->normal, NULL, qh PRINTradius);
-        }
-      }
-      qh_settempfree(&vertices);
-    }
-    qh visit_id++; /* for printing hyperplane intersections */
-    break;
-  case qh_PRINTids:
-    qh_fprintf(fp, 9049, "%d\n", numfacets);
-    break;
-  case qh_PRINTincidences:
-    if (qh VORONOI && qh PRINTprecision)
-      qh_fprintf(qh ferr, 7053, "qhull warning: writing Delaunay.  Use 'p' or 'o' for Voronoi centers\n");
-    qh printoutvar= qh vertex_id;  /* centrum id for non-simplicial facets */
-    if (qh hull_dim <= 3)
-      qh_fprintf(fp, 9050, "%d\n", numfacets);
-    else
-      qh_fprintf(fp, 9051, "%d\n", numsimplicial+numridges);
-    break;
-  case qh_PRINTinner:
-  case qh_PRINTnormals:
-  case qh_PRINTouter:
-    if (qh CDDoutput)
-      qh_fprintf(fp, 9052, "%s | %s\nbegin\n    %d %d real\n", qh rbox_command,
-            qh qhull_command, numfacets, qh hull_dim+1);
-    else
-      qh_fprintf(fp, 9053, "%d\n%d\n", qh hull_dim+1, numfacets);
-    break;
-  case qh_PRINTmathematica:
-  case qh_PRINTmaple:
-    if (qh hull_dim > 3)  /* qh_initbuffers also checks */
-      goto LABELnoformat;
-    if (qh VORONOI)
-      qh_fprintf(qh ferr, 7054, "qhull warning: output is the Delaunay triangulation\n");
-    if (format == qh_PRINTmaple) {
-      if (qh hull_dim == 2)
-        qh_fprintf(fp, 9054, "PLOT(CURVES(\n");
-      else
-        qh_fprintf(fp, 9055, "PLOT3D(POLYGONS(\n");
-    }else
-      qh_fprintf(fp, 9056, "{\n");
-    qh printoutvar= 0;   /* counts number of facets for notfirst */
-    break;
-  case qh_PRINTmerges:
-    qh_fprintf(fp, 9057, "%d\n", numfacets);
-    break;
-  case qh_PRINTpointintersect:
-    qh_fprintf(fp, 9058, "%d\n%d\n", qh hull_dim, numfacets);
-    break;
-  case qh_PRINTneighbors:
-    qh_fprintf(fp, 9059, "%d\n", numfacets);
-    break;
-  case qh_PRINToff:
-  case qh_PRINTtriangles:
-    if (qh VORONOI)
-      goto LABELnoformat;
-    num = qh hull_dim;
-    if (format == qh_PRINToff || qh hull_dim == 2)
-      qh_fprintf(fp, 9060, "%d\n%d %d %d\n", num,
-        qh num_points+qh_setsize(qh other_points), numfacets, totneighbors/2);
-    else { /* qh_PRINTtriangles */
-      qh printoutvar= qh num_points+qh_setsize(qh other_points); /* first centrum */
-      if (qh DELAUNAY)
-        num--;  /* drop last dimension */
-      qh_fprintf(fp, 9061, "%d\n%d %d %d\n", num, qh printoutvar
-        + numfacets - numsimplicial, numsimplicial + numridges, totneighbors/2);
-    }
-    FORALLpoints
-      qh_printpointid(qh fout, NULL, num, point, -1);
-    FOREACHpoint_(qh other_points)
-      qh_printpointid(qh fout, NULL, num, point, -1);
-    if (format == qh_PRINTtriangles && qh hull_dim > 2) {
-      FORALLfacets {
-        if (!facet->simplicial && facet->visitid)
-          qh_printcenter(qh fout, format, NULL, facet);
-      }
-    }
-    break;
-  case qh_PRINTpointnearest:
-    qh_fprintf(fp, 9062, "%d\n", numcoplanars);
-    break;
-  case qh_PRINTpoints:
-    if (!qh VORONOI)
-      goto LABELnoformat;
-    if (qh CDDoutput)
-      qh_fprintf(fp, 9063, "%s | %s\nbegin\n%d %d real\n", qh rbox_command,
-           qh qhull_command, numfacets, qh hull_dim);
-    else
-      qh_fprintf(fp, 9064, "%d\n%d\n", qh hull_dim-1, numfacets);
-    break;
-  case qh_PRINTvertices:
-    qh_fprintf(fp, 9065, "%d\n", numfacets);
-    break;
-  case qh_PRINTsummary:
-  default:
-  LABELnoformat:
-    qh_fprintf(qh ferr, 6068, "qhull internal error (qh_printbegin): can not use this format for dimension %d\n",
-         qh hull_dim);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-} /* printbegin */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printcenter">-</a>
-
-  qh_printcenter( fp, string, facet )
-    print facet->center as centrum or Voronoi center
-    string may be NULL.  Don't include '%' codes.
-    nop if qh CENTERtype neither CENTERvoronoi nor CENTERcentrum
-    if upper envelope of Delaunay triangulation and point at-infinity
-      prints qh_INFINITE instead;
-
-  notes:
-    defines facet->center if needed
-    if format=PRINTgeom, adds a 0 if would otherwise be 2-d
-    Same as QhullFacet::printCenter
-*/
-void qh_printcenter(FILE *fp, qh_PRINT format, const char *string, facetT *facet) {
-  int k, num;
-
-  if (qh CENTERtype != qh_ASvoronoi && qh CENTERtype != qh_AScentrum)
-    return;
-  if (string)
-    qh_fprintf(fp, 9066, string);
-  if (qh CENTERtype == qh_ASvoronoi) {
-    num= qh hull_dim-1;
-    if (!facet->normal || !facet->upperdelaunay || !qh ATinfinity) {
-      if (!facet->center)
-        facet->center= qh_facetcenter(facet->vertices);
-      for (k=0; k < num; k++)
-        qh_fprintf(fp, 9067, qh_REAL_1, facet->center[k]);
-    }else {
-      for (k=0; k < num; k++)
-        qh_fprintf(fp, 9068, qh_REAL_1, qh_INFINITE);
-    }
-  }else /* qh CENTERtype == qh_AScentrum */ {
-    num= qh hull_dim;
-    if (format == qh_PRINTtriangles && qh DELAUNAY)
-      num--;
-    if (!facet->center)
-      facet->center= qh_getcentrum(facet);
-    for (k=0; k < num; k++)
-      qh_fprintf(fp, 9069, qh_REAL_1, facet->center[k]);
-  }
-  if (format == qh_PRINTgeom && num == 2)
-    qh_fprintf(fp, 9070, " 0\n");
-  else
-    qh_fprintf(fp, 9071, "\n");
-} /* printcenter */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printcentrum">-</a>
-
-  qh_printcentrum( fp, facet, radius )
-    print centrum for a facet in OOGL format
-    radius defines size of centrum
-    2-d or 3-d only
-
-  returns:
-    defines facet->center if needed
-*/
-void qh_printcentrum(FILE *fp, facetT *facet, realT radius) {
-  pointT *centrum, *projpt;
-  boolT tempcentrum= False;
-  realT xaxis[4], yaxis[4], normal[4], dist;
-  realT green[3]={0, 1, 0};
-  vertexT *apex;
-  int k;
-
-  if (qh CENTERtype == qh_AScentrum) {
-    if (!facet->center)
-      facet->center= qh_getcentrum(facet);
-    centrum= facet->center;
-  }else {
-    centrum= qh_getcentrum(facet);
-    tempcentrum= True;
-  }
-  qh_fprintf(fp, 9072, "{appearance {-normal -edge normscale 0} ");
-  if (qh firstcentrum) {
-    qh firstcentrum= False;
-    qh_fprintf(fp, 9073, "{INST geom { define centrum CQUAD  # f%d\n\
--0.3 -0.3 0.0001     0 0 1 1\n\
- 0.3 -0.3 0.0001     0 0 1 1\n\
- 0.3  0.3 0.0001     0 0 1 1\n\
--0.3  0.3 0.0001     0 0 1 1 } transform { \n", facet->id);
-  }else
-    qh_fprintf(fp, 9074, "{INST geom { : centrum } transform { # f%d\n", facet->id);
-  apex= SETfirstt_(facet->vertices, vertexT);
-  qh_distplane(apex->point, facet, &dist);
-  projpt= qh_projectpoint(apex->point, facet, dist);
-  for (k=qh hull_dim; k--; ) {
-    xaxis[k]= projpt[k] - centrum[k];
-    normal[k]= facet->normal[k];
-  }
-  if (qh hull_dim == 2) {
-    xaxis[2]= 0;
-    normal[2]= 0;
-  }else if (qh hull_dim == 4) {
-    qh_projectdim3 (xaxis, xaxis);
-    qh_projectdim3 (normal, normal);
-    qh_normalize2 (normal, qh PRINTdim, True, NULL, NULL);
-  }
-  qh_crossproduct(3, xaxis, normal, yaxis);
-  qh_fprintf(fp, 9075, "%8.4g %8.4g %8.4g 0\n", xaxis[0], xaxis[1], xaxis[2]);
-  qh_fprintf(fp, 9076, "%8.4g %8.4g %8.4g 0\n", yaxis[0], yaxis[1], yaxis[2]);
-  qh_fprintf(fp, 9077, "%8.4g %8.4g %8.4g 0\n", normal[0], normal[1], normal[2]);
-  qh_printpoint3 (fp, centrum);
-  qh_fprintf(fp, 9078, "1 }}}\n");
-  qh_memfree(projpt, qh normal_size);
-  qh_printpointvect(fp, centrum, facet->normal, NULL, radius, green);
-  if (tempcentrum)
-    qh_memfree(centrum, qh normal_size);
-} /* printcentrum */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printend">-</a>
-
-  qh_printend( fp, format )
-    prints trailer for all output formats
-
-  see:
-    qh_printbegin() and qh_printafacet()
-
-*/
-void qh_printend(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall) {
-  int num;
-  facetT *facet, **facetp;
-
-  if (!qh printoutnum)
-    qh_fprintf(qh ferr, 7055, "qhull warning: no facets printed\n");
-  switch (format) {
-  case qh_PRINTgeom:
-    if (qh hull_dim == 4 && qh DROPdim < 0  && !qh PRINTnoplanes) {
-      qh visit_id++;
-      num= 0;
-      FORALLfacet_(facetlist)
-        qh_printend4geom(fp, facet,&num, printall);
-      FOREACHfacet_(facets)
-        qh_printend4geom(fp, facet, &num, printall);
-      if (num != qh ridgeoutnum || qh printoutvar != qh ridgeoutnum) {
-        qh_fprintf(qh ferr, 6069, "qhull internal error (qh_printend): number of ridges %d != number printed %d and at end %d\n", qh ridgeoutnum, qh printoutvar, num);
-        qh_errexit(qh_ERRqhull, NULL, NULL);
-      }
-    }else
-      qh_fprintf(fp, 9079, "}\n");
-    break;
-  case qh_PRINTinner:
-  case qh_PRINTnormals:
-  case qh_PRINTouter:
-    if (qh CDDoutput)
-      qh_fprintf(fp, 9080, "end\n");
-    break;
-  case qh_PRINTmaple:
-    qh_fprintf(fp, 9081, "));\n");
-    break;
-  case qh_PRINTmathematica:
-    qh_fprintf(fp, 9082, "}\n");
-    break;
-  case qh_PRINTpoints:
-    if (qh CDDoutput)
-      qh_fprintf(fp, 9083, "end\n");
-    break;
-  default:
-    break;
-  }
-} /* printend */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printend4geom">-</a>
-
-  qh_printend4geom( fp, facet, numridges, printall )
-    helper function for qh_printbegin/printend
-
-  returns:
-    number of printed ridges
-
-  notes:
-    just counts printed ridges if fp=NULL
-    uses facet->visitid
-    must agree with qh_printfacet4geom...
-
-  design:
-    computes color for facet from its normal
-    prints each ridge of facet
-*/
-void qh_printend4geom(FILE *fp, facetT *facet, int *nump, boolT printall) {
-  realT color[3];
-  int i, num= *nump;
-  facetT *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-
-  if (!printall && qh_skipfacet(facet))
-    return;
-  if (qh PRINTnoplanes || (facet->visible && qh NEWfacets))
-    return;
-  if (!facet->normal)
-    return;
-  if (fp) {
-    for (i=0; i < 3; i++) {
-      color[i]= (facet->normal[i]+1.0)/2.0;
-      maximize_(color[i], -1.0);
-      minimize_(color[i], +1.0);
-    }
-  }
-  facet->visitid= qh visit_id;
-  if (facet->simplicial) {
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid != qh visit_id) {
-        if (fp)
-          qh_fprintf(fp, 9084, "3 %d %d %d %8.4g %8.4g %8.4g 1 # f%d f%d\n",
-                 3*num, 3*num+1, 3*num+2, color[0], color[1], color[2],
-                 facet->id, neighbor->id);
-        num++;
-      }
-    }
-  }else {
-    FOREACHridge_(facet->ridges) {
-      neighbor= otherfacet_(ridge, facet);
-      if (neighbor->visitid != qh visit_id) {
-        if (fp)
-          qh_fprintf(fp, 9085, "3 %d %d %d %8.4g %8.4g %8.4g 1 #r%d f%d f%d\n",
-                 3*num, 3*num+1, 3*num+2, color[0], color[1], color[2],
-                 ridge->id, facet->id, neighbor->id);
-        num++;
-      }
-    }
-  }
-  *nump= num;
-} /* printend4geom */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printextremes">-</a>
-
-  qh_printextremes( fp, facetlist, facets, printall )
-    print extreme points for convex hulls or halfspace intersections
-
-  notes:
-    #points, followed by ids, one per line
-
-    sorted by id
-    same order as qh_printpoints_out if no coplanar/interior points
-*/
-void qh_printextremes(FILE *fp, facetT *facetlist, setT *facets, boolT printall) {
-  setT *vertices, *points;
-  pointT *point;
-  vertexT *vertex, **vertexp;
-  int id;
-  int numpoints=0, point_i, point_n;
-  int allpoints= qh num_points + qh_setsize(qh other_points);
-
-  points= qh_settemp(allpoints);
-  qh_setzero(points, 0, allpoints);
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  FOREACHvertex_(vertices) {
-    id= qh_pointid(vertex->point);
-    if (id >= 0) {
-      SETelem_(points, id)= vertex->point;
-      numpoints++;
-    }
-  }
-  qh_settempfree(&vertices);
-  qh_fprintf(fp, 9086, "%d\n", numpoints);
-  FOREACHpoint_i_(points) {
-    if (point)
-      qh_fprintf(fp, 9087, "%d\n", point_i);
-  }
-  qh_settempfree(&points);
-} /* printextremes */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printextremes_2d">-</a>
-
-  qh_printextremes_2d( fp, facetlist, facets, printall )
-    prints point ids for facets in qh_ORIENTclock order
-
-  notes:
-    #points, followed by ids, one per line
-    if facetlist/facets are disjoint than the output includes skips
-    errors if facets form a loop
-    does not print coplanar points
-*/
-void qh_printextremes_2d(FILE *fp, facetT *facetlist, setT *facets, boolT printall) {
-  int numfacets, numridges, totneighbors, numcoplanars, numsimplicial, numtricoplanars;
-  setT *vertices;
-  facetT *facet, *startfacet, *nextfacet;
-  vertexT *vertexA, *vertexB;
-
-  qh_countfacets(facetlist, facets, printall, &numfacets, &numsimplicial,
-      &totneighbors, &numridges, &numcoplanars, &numtricoplanars); /* marks qh visit_id */
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  qh_fprintf(fp, 9088, "%d\n", qh_setsize(vertices));
-  qh_settempfree(&vertices);
-  if (!numfacets)
-    return;
-  facet= startfacet= facetlist ? facetlist : SETfirstt_(facets, facetT);
-  qh vertex_visit++;
-  qh visit_id++;
-  do {
-    if (facet->toporient ^ qh_ORIENTclock) {
-      vertexA= SETfirstt_(facet->vertices, vertexT);
-      vertexB= SETsecondt_(facet->vertices, vertexT);
-      nextfacet= SETfirstt_(facet->neighbors, facetT);
-    }else {
-      vertexA= SETsecondt_(facet->vertices, vertexT);
-      vertexB= SETfirstt_(facet->vertices, vertexT);
-      nextfacet= SETsecondt_(facet->neighbors, facetT);
-    }
-    if (facet->visitid == qh visit_id) {
-      qh_fprintf(qh ferr, 6218, "Qhull internal error (qh_printextremes_2d): loop in facet list.  facet %d nextfacet %d\n",
-                 facet->id, nextfacet->id);
-      qh_errexit2 (qh_ERRqhull, facet, nextfacet);
-    }
-    if (facet->visitid) {
-      if (vertexA->visitid != qh vertex_visit) {
-        vertexA->visitid= qh vertex_visit;
-        qh_fprintf(fp, 9089, "%d\n", qh_pointid(vertexA->point));
-      }
-      if (vertexB->visitid != qh vertex_visit) {
-        vertexB->visitid= qh vertex_visit;
-        qh_fprintf(fp, 9090, "%d\n", qh_pointid(vertexB->point));
-      }
-    }
-    facet->visitid= qh visit_id;
-    facet= nextfacet;
-  }while (facet && facet != startfacet);
-} /* printextremes_2d */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printextremes_d">-</a>
-
-  qh_printextremes_d( fp, facetlist, facets, printall )
-    print extreme points of input sites for Delaunay triangulations
-
-  notes:
-    #points, followed by ids, one per line
-
-    unordered
-*/
-void qh_printextremes_d(FILE *fp, facetT *facetlist, setT *facets, boolT printall) {
-  setT *vertices;
-  vertexT *vertex, **vertexp;
-  boolT upperseen, lowerseen;
-  facetT *neighbor, **neighborp;
-  int numpoints=0;
-
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  qh_vertexneighbors();
-  FOREACHvertex_(vertices) {
-    upperseen= lowerseen= False;
-    FOREACHneighbor_(vertex) {
-      if (neighbor->upperdelaunay)
-        upperseen= True;
-      else
-        lowerseen= True;
-    }
-    if (upperseen && lowerseen) {
-      vertex->seen= True;
-      numpoints++;
-    }else
-      vertex->seen= False;
-  }
-  qh_fprintf(fp, 9091, "%d\n", numpoints);
-  FOREACHvertex_(vertices) {
-    if (vertex->seen)
-      qh_fprintf(fp, 9092, "%d\n", qh_pointid(vertex->point));
-  }
-  qh_settempfree(&vertices);
-} /* printextremes_d */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet">-</a>
-
-  qh_printfacet( fp, facet )
-    prints all fields of a facet to fp
-
-  notes:
-    ridges printed in neighbor order
-*/
-void qh_printfacet(FILE *fp, facetT *facet) {
-
-  qh_printfacetheader(fp, facet);
-  if (facet->ridges)
-    qh_printfacetridges(fp, facet);
-} /* printfacet */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet2geom">-</a>
-
-  qh_printfacet2geom( fp, facet, color )
-    print facet as part of a 2-d VECT for Geomview
-
-    notes:
-      assume precise calculations in io.c with roundoff covered by qh_GEOMepsilon
-      mindist is calculated within io.c.  maxoutside is calculated elsewhere
-      so a DISTround error may have occured.
-*/
-void qh_printfacet2geom(FILE *fp, facetT *facet, realT color[3]) {
-  pointT *point0, *point1;
-  realT mindist, innerplane, outerplane;
-  int k;
-
-  qh_facet2point(facet, &point0, &point1, &mindist);
-  qh_geomplanes(facet, &outerplane, &innerplane);
-  if (qh PRINTouter || (!qh PRINTnoplanes && !qh PRINTinner))
-    qh_printfacet2geom_points(fp, point0, point1, facet, outerplane, color);
-  if (qh PRINTinner || (!qh PRINTnoplanes && !qh PRINTouter &&
-                outerplane - innerplane > 2 * qh MAXabs_coord * qh_GEOMepsilon)) {
-    for (k=3; k--; )
-      color[k]= 1.0 - color[k];
-    qh_printfacet2geom_points(fp, point0, point1, facet, innerplane, color);
-  }
-  qh_memfree(point1, qh normal_size);
-  qh_memfree(point0, qh normal_size);
-} /* printfacet2geom */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet2geom_points">-</a>
-
-  qh_printfacet2geom_points( fp, point1, point2, facet, offset, color )
-    prints a 2-d facet as a VECT with 2 points at some offset.
-    The points are on the facet's plane.
-*/
-void qh_printfacet2geom_points(FILE *fp, pointT *point1, pointT *point2,
-                               facetT *facet, realT offset, realT color[3]) {
-  pointT *p1= point1, *p2= point2;
-
-  qh_fprintf(fp, 9093, "VECT 1 2 1 2 1 # f%d\n", facet->id);
-  if (offset != 0.0) {
-    p1= qh_projectpoint(p1, facet, -offset);
-    p2= qh_projectpoint(p2, facet, -offset);
-  }
-  qh_fprintf(fp, 9094, "%8.4g %8.4g %8.4g\n%8.4g %8.4g %8.4g\n",
-           p1[0], p1[1], 0.0, p2[0], p2[1], 0.0);
-  if (offset != 0.0) {
-    qh_memfree(p1, qh normal_size);
-    qh_memfree(p2, qh normal_size);
-  }
-  qh_fprintf(fp, 9095, "%8.4g %8.4g %8.4g 1.0\n", color[0], color[1], color[2]);
-} /* printfacet2geom_points */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet2math">-</a>
-
-  qh_printfacet2math( fp, facet, format, notfirst )
-    print 2-d Maple or Mathematica output for a facet
-    may be non-simplicial
-
-  notes:
-    use %16.8f since Mathematica 2.2 does not handle exponential format
-    see qh_printfacet3math
-*/
-void qh_printfacet2math(FILE *fp, facetT *facet, qh_PRINT format, int notfirst) {
-  pointT *point0, *point1;
-  realT mindist;
-  const char *pointfmt;
-
-  qh_facet2point(facet, &point0, &point1, &mindist);
-  if (notfirst)
-    qh_fprintf(fp, 9096, ",");
-  if (format == qh_PRINTmaple)
-    pointfmt= "[[%16.8f, %16.8f], [%16.8f, %16.8f]]\n";
-  else
-    pointfmt= "Line[{{%16.8f, %16.8f}, {%16.8f, %16.8f}}]\n";
-  qh_fprintf(fp, 9097, pointfmt, point0[0], point0[1], point1[0], point1[1]);
-  qh_memfree(point1, qh normal_size);
-  qh_memfree(point0, qh normal_size);
-} /* printfacet2math */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet3geom_nonsimplicial">-</a>
-
-  qh_printfacet3geom_nonsimplicial( fp, facet, color )
-    print Geomview OFF for a 3-d nonsimplicial facet.
-    if DOintersections, prints ridges to unvisited neighbors(qh visit_id)
-
-  notes
-    uses facet->visitid for intersections and ridges
-*/
-void qh_printfacet3geom_nonsimplicial(FILE *fp, facetT *facet, realT color[3]) {
-  ridgeT *ridge, **ridgep;
-  setT *projectedpoints, *vertices;
-  vertexT *vertex, **vertexp, *vertexA, *vertexB;
-  pointT *projpt, *point, **pointp;
-  facetT *neighbor;
-  realT dist, outerplane, innerplane;
-  int cntvertices, k;
-  realT black[3]={0, 0, 0}, green[3]={0, 1, 0};
-
-  qh_geomplanes(facet, &outerplane, &innerplane);
-  vertices= qh_facet3vertex(facet); /* oriented */
-  cntvertices= qh_setsize(vertices);
-  projectedpoints= qh_settemp(cntvertices);
-  FOREACHvertex_(vertices) {
-    zinc_(Zdistio);
-    qh_distplane(vertex->point, facet, &dist);
-    projpt= qh_projectpoint(vertex->point, facet, dist);
-    qh_setappend(&projectedpoints, projpt);
-  }
-  if (qh PRINTouter || (!qh PRINTnoplanes && !qh PRINTinner))
-    qh_printfacet3geom_points(fp, projectedpoints, facet, outerplane, color);
-  if (qh PRINTinner || (!qh PRINTnoplanes && !qh PRINTouter &&
-                outerplane - innerplane > 2 * qh MAXabs_coord * qh_GEOMepsilon)) {
-    for (k=3; k--; )
-      color[k]= 1.0 - color[k];
-    qh_printfacet3geom_points(fp, projectedpoints, facet, innerplane, color);
-  }
-  FOREACHpoint_(projectedpoints)
-    qh_memfree(point, qh normal_size);
-  qh_settempfree(&projectedpoints);
-  qh_settempfree(&vertices);
-  if ((qh DOintersections || qh PRINTridges)
-  && (!facet->visible || !qh NEWfacets)) {
-    facet->visitid= qh visit_id;
-    FOREACHridge_(facet->ridges) {
-      neighbor= otherfacet_(ridge, facet);
-      if (neighbor->visitid != qh visit_id) {
-        if (qh DOintersections)
-          qh_printhyperplaneintersection(fp, facet, neighbor, ridge->vertices, black);
-        if (qh PRINTridges) {
-          vertexA= SETfirstt_(ridge->vertices, vertexT);
-          vertexB= SETsecondt_(ridge->vertices, vertexT);
-          qh_printline3geom(fp, vertexA->point, vertexB->point, green);
-        }
-      }
-    }
-  }
-} /* printfacet3geom_nonsimplicial */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet3geom_points">-</a>
-
-  qh_printfacet3geom_points( fp, points, facet, offset )
-    prints a 3-d facet as OFF Geomview object.
-    offset is relative to the facet's hyperplane
-    Facet is determined as a list of points
-*/
-void qh_printfacet3geom_points(FILE *fp, setT *points, facetT *facet, realT offset, realT color[3]) {
-  int k, n= qh_setsize(points), i;
-  pointT *point, **pointp;
-  setT *printpoints;
-
-  qh_fprintf(fp, 9098, "{ OFF %d 1 1 # f%d\n", n, facet->id);
-  if (offset != 0.0) {
-    printpoints= qh_settemp(n);
-    FOREACHpoint_(points)
-      qh_setappend(&printpoints, qh_projectpoint(point, facet, -offset));
-  }else
-    printpoints= points;
-  FOREACHpoint_(printpoints) {
-    for (k=0; k < qh hull_dim; k++) {
-      if (k == qh DROPdim)
-        qh_fprintf(fp, 9099, "0 ");
-      else
-        qh_fprintf(fp, 9100, "%8.4g ", point[k]);
-    }
-    if (printpoints != points)
-      qh_memfree(point, qh normal_size);
-    qh_fprintf(fp, 9101, "\n");
-  }
-  if (printpoints != points)
-    qh_settempfree(&printpoints);
-  qh_fprintf(fp, 9102, "%d ", n);
-  for (i=0; i < n; i++)
-    qh_fprintf(fp, 9103, "%d ", i);
-  qh_fprintf(fp, 9104, "%8.4g %8.4g %8.4g 1.0 }\n", color[0], color[1], color[2]);
-} /* printfacet3geom_points */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet3geom_simplicial">-</a>
-
-  qh_printfacet3geom_simplicial(  )
-    print Geomview OFF for a 3-d simplicial facet.
-
-  notes:
-    may flip color
-    uses facet->visitid for intersections and ridges
-
-    assume precise calculations in io.c with roundoff covered by qh_GEOMepsilon
-    innerplane may be off by qh DISTround.  Maxoutside is calculated elsewhere
-    so a DISTround error may have occured.
-*/
-void qh_printfacet3geom_simplicial(FILE *fp, facetT *facet, realT color[3]) {
-  setT *points, *vertices;
-  vertexT *vertex, **vertexp, *vertexA, *vertexB;
-  facetT *neighbor, **neighborp;
-  realT outerplane, innerplane;
-  realT black[3]={0, 0, 0}, green[3]={0, 1, 0};
-  int k;
-
-  qh_geomplanes(facet, &outerplane, &innerplane);
-  vertices= qh_facet3vertex(facet);
-  points= qh_settemp(qh TEMPsize);
-  FOREACHvertex_(vertices)
-    qh_setappend(&points, vertex->point);
-  if (qh PRINTouter || (!qh PRINTnoplanes && !qh PRINTinner))
-    qh_printfacet3geom_points(fp, points, facet, outerplane, color);
-  if (qh PRINTinner || (!qh PRINTnoplanes && !qh PRINTouter &&
-              outerplane - innerplane > 2 * qh MAXabs_coord * qh_GEOMepsilon)) {
-    for (k=3; k--; )
-      color[k]= 1.0 - color[k];
-    qh_printfacet3geom_points(fp, points, facet, innerplane, color);
-  }
-  qh_settempfree(&points);
-  qh_settempfree(&vertices);
-  if ((qh DOintersections || qh PRINTridges)
-  && (!facet->visible || !qh NEWfacets)) {
-    facet->visitid= qh visit_id;
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid != qh visit_id) {
-        vertices= qh_setnew_delnthsorted(facet->vertices, qh hull_dim,
-                          SETindex_(facet->neighbors, neighbor), 0);
-        if (qh DOintersections)
-           qh_printhyperplaneintersection(fp, facet, neighbor, vertices, black);
-        if (qh PRINTridges) {
-          vertexA= SETfirstt_(vertices, vertexT);
-          vertexB= SETsecondt_(vertices, vertexT);
-          qh_printline3geom(fp, vertexA->point, vertexB->point, green);
-        }
-        qh_setfree(&vertices);
-      }
-    }
-  }
-} /* printfacet3geom_simplicial */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet3math">-</a>
-
-  qh_printfacet3math( fp, facet, notfirst )
-    print 3-d Maple or Mathematica output for a facet
-
-  notes:
-    may be non-simplicial
-    use %16.8f since Mathematica 2.2 does not handle exponential format
-    see qh_printfacet2math
-*/
-void qh_printfacet3math(FILE *fp, facetT *facet, qh_PRINT format, int notfirst) {
-  vertexT *vertex, **vertexp;
-  setT *points, *vertices;
-  pointT *point, **pointp;
-  boolT firstpoint= True;
-  realT dist;
-  const char *pointfmt, *endfmt;
-
-  if (notfirst)
-    qh_fprintf(fp, 9105, ",\n");
-  vertices= qh_facet3vertex(facet);
-  points= qh_settemp(qh_setsize(vertices));
-  FOREACHvertex_(vertices) {
-    zinc_(Zdistio);
-    qh_distplane(vertex->point, facet, &dist);
-    point= qh_projectpoint(vertex->point, facet, dist);
-    qh_setappend(&points, point);
-  }
-  if (format == qh_PRINTmaple) {
-    qh_fprintf(fp, 9106, "[");
-    pointfmt= "[%16.8f, %16.8f, %16.8f]";
-    endfmt= "]";
-  }else {
-    qh_fprintf(fp, 9107, "Polygon[{");
-    pointfmt= "{%16.8f, %16.8f, %16.8f}";
-    endfmt= "}]";
-  }
-  FOREACHpoint_(points) {
-    if (firstpoint)
-      firstpoint= False;
-    else
-      qh_fprintf(fp, 9108, ",\n");
-    qh_fprintf(fp, 9109, pointfmt, point[0], point[1], point[2]);
-  }
-  FOREACHpoint_(points)
-    qh_memfree(point, qh normal_size);
-  qh_settempfree(&points);
-  qh_settempfree(&vertices);
-  qh_fprintf(fp, 9110, endfmt);
-} /* printfacet3math */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet3vertex">-</a>
-
-  qh_printfacet3vertex( fp, facet, format )
-    print vertices in a 3-d facet as point ids
-
-  notes:
-    prints number of vertices first if format == qh_PRINToff
-    the facet may be non-simplicial
-*/
-void qh_printfacet3vertex(FILE *fp, facetT *facet, qh_PRINT format) {
-  vertexT *vertex, **vertexp;
-  setT *vertices;
-
-  vertices= qh_facet3vertex(facet);
-  if (format == qh_PRINToff)
-    qh_fprintf(fp, 9111, "%d ", qh_setsize(vertices));
-  FOREACHvertex_(vertices)
-    qh_fprintf(fp, 9112, "%d ", qh_pointid(vertex->point));
-  qh_fprintf(fp, 9113, "\n");
-  qh_settempfree(&vertices);
-} /* printfacet3vertex */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet4geom_nonsimplicial">-</a>
-
-  qh_printfacet4geom_nonsimplicial(  )
-    print Geomview 4OFF file for a 4d nonsimplicial facet
-    prints all ridges to unvisited neighbors (qh.visit_id)
-    if qh.DROPdim
-      prints in OFF format
-
-  notes:
-    must agree with printend4geom()
-*/
-void qh_printfacet4geom_nonsimplicial(FILE *fp, facetT *facet, realT color[3]) {
-  facetT *neighbor;
-  ridgeT *ridge, **ridgep;
-  vertexT *vertex, **vertexp;
-  pointT *point;
-  int k;
-  realT dist;
-
-  facet->visitid= qh visit_id;
-  if (qh PRINTnoplanes || (facet->visible && qh NEWfacets))
-    return;
-  FOREACHridge_(facet->ridges) {
-    neighbor= otherfacet_(ridge, facet);
-    if (neighbor->visitid == qh visit_id)
-      continue;
-    if (qh PRINTtransparent && !neighbor->good)
-      continue;
-    if (qh DOintersections)
-      qh_printhyperplaneintersection(fp, facet, neighbor, ridge->vertices, color);
-    else {
-      if (qh DROPdim >= 0)
-        qh_fprintf(fp, 9114, "OFF 3 1 1 # f%d\n", facet->id);
-      else {
-        qh printoutvar++;
-        qh_fprintf(fp, 9115, "# r%d between f%d f%d\n", ridge->id, facet->id, neighbor->id);
-      }
-      FOREACHvertex_(ridge->vertices) {
-        zinc_(Zdistio);
-        qh_distplane(vertex->point,facet, &dist);
-        point=qh_projectpoint(vertex->point,facet, dist);
-        for (k=0; k < qh hull_dim; k++) {
-          if (k != qh DROPdim)
-            qh_fprintf(fp, 9116, "%8.4g ", point[k]);
-        }
-        qh_fprintf(fp, 9117, "\n");
-        qh_memfree(point, qh normal_size);
-      }
-      if (qh DROPdim >= 0)
-        qh_fprintf(fp, 9118, "3 0 1 2 %8.4g %8.4g %8.4g\n", color[0], color[1], color[2]);
-    }
-  }
-} /* printfacet4geom_nonsimplicial */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacet4geom_simplicial">-</a>
-
-  qh_printfacet4geom_simplicial( fp, facet, color )
-    print Geomview 4OFF file for a 4d simplicial facet
-    prints triangles for unvisited neighbors (qh.visit_id)
-
-  notes:
-    must agree with printend4geom()
-*/
-void qh_printfacet4geom_simplicial(FILE *fp, facetT *facet, realT color[3]) {
-  setT *vertices;
-  facetT *neighbor, **neighborp;
-  vertexT *vertex, **vertexp;
-  int k;
-
-  facet->visitid= qh visit_id;
-  if (qh PRINTnoplanes || (facet->visible && qh NEWfacets))
-    return;
-  FOREACHneighbor_(facet) {
-    if (neighbor->visitid == qh visit_id)
-      continue;
-    if (qh PRINTtransparent && !neighbor->good)
-      continue;
-    vertices= qh_setnew_delnthsorted(facet->vertices, qh hull_dim,
-                          SETindex_(facet->neighbors, neighbor), 0);
-    if (qh DOintersections)
-      qh_printhyperplaneintersection(fp, facet, neighbor, vertices, color);
-    else {
-      if (qh DROPdim >= 0)
-        qh_fprintf(fp, 9119, "OFF 3 1 1 # ridge between f%d f%d\n",
-                facet->id, neighbor->id);
-      else {
-        qh printoutvar++;
-        qh_fprintf(fp, 9120, "# ridge between f%d f%d\n", facet->id, neighbor->id);
-      }
-      FOREACHvertex_(vertices) {
-        for (k=0; k < qh hull_dim; k++) {
-          if (k != qh DROPdim)
-            qh_fprintf(fp, 9121, "%8.4g ", vertex->point[k]);
-        }
-        qh_fprintf(fp, 9122, "\n");
-      }
-      if (qh DROPdim >= 0)
-        qh_fprintf(fp, 9123, "3 0 1 2 %8.4g %8.4g %8.4g\n", color[0], color[1], color[2]);
-    }
-    qh_setfree(&vertices);
-  }
-} /* printfacet4geom_simplicial */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacetNvertex_nonsimplicial">-</a>
-
-  qh_printfacetNvertex_nonsimplicial( fp, facet, id, format )
-    print vertices for an N-d non-simplicial facet
-    triangulates each ridge to the id
-*/
-void qh_printfacetNvertex_nonsimplicial(FILE *fp, facetT *facet, int id, qh_PRINT format) {
-  vertexT *vertex, **vertexp;
-  ridgeT *ridge, **ridgep;
-
-  if (facet->visible && qh NEWfacets)
-    return;
-  FOREACHridge_(facet->ridges) {
-    if (format == qh_PRINTtriangles)
-      qh_fprintf(fp, 9124, "%d ", qh hull_dim);
-    qh_fprintf(fp, 9125, "%d ", id);
-    if ((ridge->top == facet) ^ qh_ORIENTclock) {
-      FOREACHvertex_(ridge->vertices)
-        qh_fprintf(fp, 9126, "%d ", qh_pointid(vertex->point));
-    }else {
-      FOREACHvertexreverse12_(ridge->vertices)
-        qh_fprintf(fp, 9127, "%d ", qh_pointid(vertex->point));
-    }
-    qh_fprintf(fp, 9128, "\n");
-  }
-} /* printfacetNvertex_nonsimplicial */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacetNvertex_simplicial">-</a>
-
-  qh_printfacetNvertex_simplicial( fp, facet, format )
-    print vertices for an N-d simplicial facet
-    prints vertices for non-simplicial facets
-      2-d facets (orientation preserved by qh_mergefacet2d)
-      PRINToff ('o') for 4-d and higher
-*/
-void qh_printfacetNvertex_simplicial(FILE *fp, facetT *facet, qh_PRINT format) {
-  vertexT *vertex, **vertexp;
-
-  if (format == qh_PRINToff || format == qh_PRINTtriangles)
-    qh_fprintf(fp, 9129, "%d ", qh_setsize(facet->vertices));
-  if ((facet->toporient ^ qh_ORIENTclock)
-  || (qh hull_dim > 2 && !facet->simplicial)) {
-    FOREACHvertex_(facet->vertices)
-      qh_fprintf(fp, 9130, "%d ", qh_pointid(vertex->point));
-  }else {
-    FOREACHvertexreverse12_(facet->vertices)
-      qh_fprintf(fp, 9131, "%d ", qh_pointid(vertex->point));
-  }
-  qh_fprintf(fp, 9132, "\n");
-} /* printfacetNvertex_simplicial */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacetheader">-</a>
-
-  qh_printfacetheader( fp, facet )
-    prints header fields of a facet to fp
-
-  notes:
-    for 'f' output and debugging
-    Same as QhullFacet::printHeader()
-*/
-void qh_printfacetheader(FILE *fp, facetT *facet) {
-  pointT *point, **pointp, *furthest;
-  facetT *neighbor, **neighborp;
-  realT dist;
-
-  if (facet == qh_MERGEridge) {
-    qh_fprintf(fp, 9133, " MERGEridge\n");
-    return;
-  }else if (facet == qh_DUPLICATEridge) {
-    qh_fprintf(fp, 9134, " DUPLICATEridge\n");
-    return;
-  }else if (!facet) {
-    qh_fprintf(fp, 9135, " NULLfacet\n");
-    return;
-  }
-  qh old_randomdist= qh RANDOMdist;
-  qh RANDOMdist= False;
-  qh_fprintf(fp, 9136, "- f%d\n", facet->id);
-  qh_fprintf(fp, 9137, "    - flags:");
-  if (facet->toporient)
-    qh_fprintf(fp, 9138, " top");
-  else
-    qh_fprintf(fp, 9139, " bottom");
-  if (facet->simplicial)
-    qh_fprintf(fp, 9140, " simplicial");
-  if (facet->tricoplanar)
-    qh_fprintf(fp, 9141, " tricoplanar");
-  if (facet->upperdelaunay)
-    qh_fprintf(fp, 9142, " upperDelaunay");
-  if (facet->visible)
-    qh_fprintf(fp, 9143, " visible");
-  if (facet->newfacet)
-    qh_fprintf(fp, 9144, " new");
-  if (facet->tested)
-    qh_fprintf(fp, 9145, " tested");
-  if (!facet->good)
-    qh_fprintf(fp, 9146, " notG");
-  if (facet->seen)
-    qh_fprintf(fp, 9147, " seen");
-  if (facet->coplanar)
-    qh_fprintf(fp, 9148, " coplanar");
-  if (facet->mergehorizon)
-    qh_fprintf(fp, 9149, " mergehorizon");
-  if (facet->keepcentrum)
-    qh_fprintf(fp, 9150, " keepcentrum");
-  if (facet->dupridge)
-    qh_fprintf(fp, 9151, " dupridge");
-  if (facet->mergeridge && !facet->mergeridge2)
-    qh_fprintf(fp, 9152, " mergeridge1");
-  if (facet->mergeridge2)
-    qh_fprintf(fp, 9153, " mergeridge2");
-  if (facet->newmerge)
-    qh_fprintf(fp, 9154, " newmerge");
-  if (facet->flipped)
-    qh_fprintf(fp, 9155, " flipped");
-  if (facet->notfurthest)
-    qh_fprintf(fp, 9156, " notfurthest");
-  if (facet->degenerate)
-    qh_fprintf(fp, 9157, " degenerate");
-  if (facet->redundant)
-    qh_fprintf(fp, 9158, " redundant");
-  qh_fprintf(fp, 9159, "\n");
-  if (facet->isarea)
-    qh_fprintf(fp, 9160, "    - area: %2.2g\n", facet->f.area);
-  else if (qh NEWfacets && facet->visible && facet->f.replace)
-    qh_fprintf(fp, 9161, "    - replacement: f%d\n", facet->f.replace->id);
-  else if (facet->newfacet) {
-    if (facet->f.samecycle && facet->f.samecycle != facet)
-      qh_fprintf(fp, 9162, "    - shares same visible/horizon as f%d\n", facet->f.samecycle->id);
-  }else if (facet->tricoplanar /* !isarea */) {
-    if (facet->f.triowner)
-      qh_fprintf(fp, 9163, "    - owner of normal & centrum is facet f%d\n", facet->f.triowner->id);
-  }else if (facet->f.newcycle)
-    qh_fprintf(fp, 9164, "    - was horizon to f%d\n", facet->f.newcycle->id);
-  if (facet->nummerge)
-    qh_fprintf(fp, 9165, "    - merges: %d\n", facet->nummerge);
-  qh_printpointid(fp, "    - normal: ", qh hull_dim, facet->normal, -1);
-  qh_fprintf(fp, 9166, "    - offset: %10.7g\n", facet->offset);
-  if (qh CENTERtype == qh_ASvoronoi || facet->center)
-    qh_printcenter(fp, qh_PRINTfacets, "    - center: ", facet);
-#if qh_MAXoutside
-  if (facet->maxoutside > qh DISTround)
-    qh_fprintf(fp, 9167, "    - maxoutside: %10.7g\n", facet->maxoutside);
-#endif
-  if (!SETempty_(facet->outsideset)) {
-    furthest= (pointT*)qh_setlast(facet->outsideset);
-    if (qh_setsize(facet->outsideset) < 6) {
-      qh_fprintf(fp, 9168, "    - outside set(furthest p%d):\n", qh_pointid(furthest));
-      FOREACHpoint_(facet->outsideset)
-        qh_printpoint(fp, "     ", point);
-    }else if (qh_setsize(facet->outsideset) < 21) {
-      qh_printpoints(fp, "    - outside set:", facet->outsideset);
-    }else {
-      qh_fprintf(fp, 9169, "    - outside set:  %d points.", qh_setsize(facet->outsideset));
-      qh_printpoint(fp, "  Furthest", furthest);
-    }
-#if !qh_COMPUTEfurthest
-    qh_fprintf(fp, 9170, "    - furthest distance= %2.2g\n", facet->furthestdist);
-#endif
-  }
-  if (!SETempty_(facet->coplanarset)) {
-    furthest= (pointT*)qh_setlast(facet->coplanarset);
-    if (qh_setsize(facet->coplanarset) < 6) {
-      qh_fprintf(fp, 9171, "    - coplanar set(furthest p%d):\n", qh_pointid(furthest));
-      FOREACHpoint_(facet->coplanarset)
-        qh_printpoint(fp, "     ", point);
-    }else if (qh_setsize(facet->coplanarset) < 21) {
-      qh_printpoints(fp, "    - coplanar set:", facet->coplanarset);
-    }else {
-      qh_fprintf(fp, 9172, "    - coplanar set:  %d points.", qh_setsize(facet->coplanarset));
-      qh_printpoint(fp, "  Furthest", furthest);
-    }
-    zinc_(Zdistio);
-    qh_distplane(furthest, facet, &dist);
-    qh_fprintf(fp, 9173, "      furthest distance= %2.2g\n", dist);
-  }
-  qh_printvertices(fp, "    - vertices:", facet->vertices);
-  qh_fprintf(fp, 9174, "    - neighboring facets:");
-  FOREACHneighbor_(facet) {
-    if (neighbor == qh_MERGEridge)
-      qh_fprintf(fp, 9175, " MERGE");
-    else if (neighbor == qh_DUPLICATEridge)
-      qh_fprintf(fp, 9176, " DUP");
-    else
-      qh_fprintf(fp, 9177, " f%d", neighbor->id);
-  }
-  qh_fprintf(fp, 9178, "\n");
-  qh RANDOMdist= qh old_randomdist;
-} /* printfacetheader */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacetridges">-</a>
-
-  qh_printfacetridges( fp, facet )
-    prints ridges of a facet to fp
-
-  notes:
-    ridges printed in neighbor order
-    assumes the ridges exist
-    for 'f' output
-    same as QhullFacet::printRidges
-*/
-void qh_printfacetridges(FILE *fp, facetT *facet) {
-  facetT *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-  int numridges= 0;
-
-
-  if (facet->visible && qh NEWfacets) {
-    qh_fprintf(fp, 9179, "    - ridges(ids may be garbage):");
-    FOREACHridge_(facet->ridges)
-      qh_fprintf(fp, 9180, " r%d", ridge->id);
-    qh_fprintf(fp, 9181, "\n");
-  }else {
-    qh_fprintf(fp, 9182, "    - ridges:\n");
-    FOREACHridge_(facet->ridges)
-      ridge->seen= False;
-    if (qh hull_dim == 3) {
-      ridge= SETfirstt_(facet->ridges, ridgeT);
-      while (ridge && !ridge->seen) {
-        ridge->seen= True;
-        qh_printridge(fp, ridge);
-        numridges++;
-        ridge= qh_nextridge3d(ridge, facet, NULL);
-        }
-    }else {
-      FOREACHneighbor_(facet) {
-        FOREACHridge_(facet->ridges) {
-          if (otherfacet_(ridge,facet) == neighbor) {
-            ridge->seen= True;
-            qh_printridge(fp, ridge);
-            numridges++;
-          }
-        }
-      }
-    }
-    if (numridges != qh_setsize(facet->ridges)) {
-      qh_fprintf(fp, 9183, "     - all ridges:");
-      FOREACHridge_(facet->ridges)
-        qh_fprintf(fp, 9184, " r%d", ridge->id);
-        qh_fprintf(fp, 9185, "\n");
-    }
-    FOREACHridge_(facet->ridges) {
-      if (!ridge->seen)
-        qh_printridge(fp, ridge);
-    }
-  }
-} /* printfacetridges */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printfacets">-</a>
-
-  qh_printfacets( fp, format, facetlist, facets, printall )
-    prints facetlist and/or facet set in output format
-
-  notes:
-    also used for specialized formats ('FO' and summary)
-    turns off 'Rn' option since want actual numbers
-*/
-void qh_printfacets(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall) {
-  int numfacets, numsimplicial, numridges, totneighbors, numcoplanars, numtricoplanars;
-  facetT *facet, **facetp;
-  setT *vertices;
-  coordT *center;
-  realT outerplane, innerplane;
-
-  qh old_randomdist= qh RANDOMdist;
-  qh RANDOMdist= False;
-  if (qh CDDoutput && (format == qh_PRINTcentrums || format == qh_PRINTpointintersect || format == qh_PRINToff))
-    qh_fprintf(qh ferr, 7056, "qhull warning: CDD format is not available for centrums, halfspace\nintersections, and OFF file format.\n");
-  if (format == qh_PRINTnone)
-    ; /* print nothing */
-  else if (format == qh_PRINTaverage) {
-    vertices= qh_facetvertices(facetlist, facets, printall);
-    center= qh_getcenter(vertices);
-    qh_fprintf(fp, 9186, "%d 1\n", qh hull_dim);
-    qh_printpointid(fp, NULL, qh hull_dim, center, -1);
-    qh_memfree(center, qh normal_size);
-    qh_settempfree(&vertices);
-  }else if (format == qh_PRINTextremes) {
-    if (qh DELAUNAY)
-      qh_printextremes_d(fp, facetlist, facets, printall);
-    else if (qh hull_dim == 2)
-      qh_printextremes_2d(fp, facetlist, facets, printall);
-    else
-      qh_printextremes(fp, facetlist, facets, printall);
-  }else if (format == qh_PRINToptions)
-    qh_fprintf(fp, 9187, "Options selected for Qhull %s:\n%s\n", qh_version, qh qhull_options);
-  else if (format == qh_PRINTpoints && !qh VORONOI)
-    qh_printpoints_out(fp, facetlist, facets, printall);
-  else if (format == qh_PRINTqhull)
-    qh_fprintf(fp, 9188, "%s | %s\n", qh rbox_command, qh qhull_command);
-  else if (format == qh_PRINTsize) {
-    qh_fprintf(fp, 9189, "0\n2 ");
-    qh_fprintf(fp, 9190, qh_REAL_1, qh totarea);
-    qh_fprintf(fp, 9191, qh_REAL_1, qh totvol);
-    qh_fprintf(fp, 9192, "\n");
-  }else if (format == qh_PRINTsummary) {
-    qh_countfacets(facetlist, facets, printall, &numfacets, &numsimplicial,
-      &totneighbors, &numridges, &numcoplanars, &numtricoplanars);
-    vertices= qh_facetvertices(facetlist, facets, printall);
-    qh_fprintf(fp, 9193, "10 %d %d %d %d %d %d %d %d %d %d\n2 ", qh hull_dim,
-                qh num_points + qh_setsize(qh other_points),
-                qh num_vertices, qh num_facets - qh num_visible,
-                qh_setsize(vertices), numfacets, numcoplanars,
-                numfacets - numsimplicial, zzval_(Zdelvertextot),
-                numtricoplanars);
-    qh_settempfree(&vertices);
-    qh_outerinner(NULL, &outerplane, &innerplane);
-    qh_fprintf(fp, 9194, qh_REAL_2n, outerplane, innerplane);
-  }else if (format == qh_PRINTvneighbors)
-    qh_printvneighbors(fp, facetlist, facets, printall);
-  else if (qh VORONOI && format == qh_PRINToff)
-    qh_printvoronoi(fp, format, facetlist, facets, printall);
-  else if (qh VORONOI && format == qh_PRINTgeom) {
-    qh_printbegin(fp, format, facetlist, facets, printall);
-    qh_printvoronoi(fp, format, facetlist, facets, printall);
-    qh_printend(fp, format, facetlist, facets, printall);
-  }else if (qh VORONOI
-  && (format == qh_PRINTvertices || format == qh_PRINTinner || format == qh_PRINTouter))
-    qh_printvdiagram(fp, format, facetlist, facets, printall);
-  else {
-    qh_printbegin(fp, format, facetlist, facets, printall);
-    FORALLfacet_(facetlist)
-      qh_printafacet(fp, format, facet, printall);
-    FOREACHfacet_(facets)
-      qh_printafacet(fp, format, facet, printall);
-    qh_printend(fp, format, facetlist, facets, printall);
-  }
-  qh RANDOMdist= qh old_randomdist;
-} /* printfacets */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printhyperplaneintersection">-</a>
-
-  qh_printhyperplaneintersection( fp, facet1, facet2, vertices, color )
-    print Geomview OFF or 4OFF for the intersection of two hyperplanes in 3-d or 4-d
-*/
-void qh_printhyperplaneintersection(FILE *fp, facetT *facet1, facetT *facet2,
-                   setT *vertices, realT color[3]) {
-  realT costheta, denominator, dist1, dist2, s, t, mindenom, p[4];
-  vertexT *vertex, **vertexp;
-  int i, k;
-  boolT nearzero1, nearzero2;
-
-  costheta= qh_getangle(facet1->normal, facet2->normal);
-  denominator= 1 - costheta * costheta;
-  i= qh_setsize(vertices);
-  if (qh hull_dim == 3)
-    qh_fprintf(fp, 9195, "VECT 1 %d 1 %d 1 ", i, i);
-  else if (qh hull_dim == 4 && qh DROPdim >= 0)
-    qh_fprintf(fp, 9196, "OFF 3 1 1 ");
-  else
-    qh printoutvar++;
-  qh_fprintf(fp, 9197, "# intersect f%d f%d\n", facet1->id, facet2->id);
-  mindenom= 1 / (10.0 * qh MAXabs_coord);
-  FOREACHvertex_(vertices) {
-    zadd_(Zdistio, 2);
-    qh_distplane(vertex->point, facet1, &dist1);
-    qh_distplane(vertex->point, facet2, &dist2);
-    s= qh_divzero(-dist1 + costheta * dist2, denominator,mindenom,&nearzero1);
-    t= qh_divzero(-dist2 + costheta * dist1, denominator,mindenom,&nearzero2);
-    if (nearzero1 || nearzero2)
-      s= t= 0.0;
-    for (k=qh hull_dim; k--; )
-      p[k]= vertex->point[k] + facet1->normal[k] * s + facet2->normal[k] * t;
-    if (qh PRINTdim <= 3) {
-      qh_projectdim3 (p, p);
-      qh_fprintf(fp, 9198, "%8.4g %8.4g %8.4g # ", p[0], p[1], p[2]);
-    }else
-      qh_fprintf(fp, 9199, "%8.4g %8.4g %8.4g %8.4g # ", p[0], p[1], p[2], p[3]);
-    if (nearzero1+nearzero2)
-      qh_fprintf(fp, 9200, "p%d(coplanar facets)\n", qh_pointid(vertex->point));
-    else
-      qh_fprintf(fp, 9201, "projected p%d\n", qh_pointid(vertex->point));
-  }
-  if (qh hull_dim == 3)
-    qh_fprintf(fp, 9202, "%8.4g %8.4g %8.4g 1.0\n", color[0], color[1], color[2]);
-  else if (qh hull_dim == 4 && qh DROPdim >= 0)
-    qh_fprintf(fp, 9203, "3 0 1 2 %8.4g %8.4g %8.4g 1.0\n", color[0], color[1], color[2]);
-} /* printhyperplaneintersection */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printline3geom">-</a>
-
-  qh_printline3geom( fp, pointA, pointB, color )
-    prints a line as a VECT
-    prints 0's for qh.DROPdim
-
-  notes:
-    if pointA == pointB,
-      it's a 1 point VECT
-*/
-void qh_printline3geom(FILE *fp, pointT *pointA, pointT *pointB, realT color[3]) {
-  int k;
-  realT pA[4], pB[4];
-
-  qh_projectdim3(pointA, pA);
-  qh_projectdim3(pointB, pB);
-  if ((fabs(pA[0] - pB[0]) > 1e-3) ||
-      (fabs(pA[1] - pB[1]) > 1e-3) ||
-      (fabs(pA[2] - pB[2]) > 1e-3)) {
-    qh_fprintf(fp, 9204, "VECT 1 2 1 2 1\n");
-    for (k=0; k < 3; k++)
-       qh_fprintf(fp, 9205, "%8.4g ", pB[k]);
-    qh_fprintf(fp, 9206, " # p%d\n", qh_pointid(pointB));
-  }else
-    qh_fprintf(fp, 9207, "VECT 1 1 1 1 1\n");
-  for (k=0; k < 3; k++)
-    qh_fprintf(fp, 9208, "%8.4g ", pA[k]);
-  qh_fprintf(fp, 9209, " # p%d\n", qh_pointid(pointA));
-  qh_fprintf(fp, 9210, "%8.4g %8.4g %8.4g 1\n", color[0], color[1], color[2]);
-}
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printneighborhood">-</a>
-
-  qh_printneighborhood( fp, format, facetA, facetB, printall )
-    print neighborhood of one or two facets
-
-  notes:
-    calls qh_findgood_all()
-    bumps qh.visit_id
-*/
-void qh_printneighborhood(FILE *fp, qh_PRINT format, facetT *facetA, facetT *facetB, boolT printall) {
-  facetT *neighbor, **neighborp, *facet;
-  setT *facets;
-
-  if (format == qh_PRINTnone)
-    return;
-  qh_findgood_all(qh facet_list);
-  if (facetA == facetB)
-    facetB= NULL;
-  facets= qh_settemp(2*(qh_setsize(facetA->neighbors)+1));
-  qh visit_id++;
-  for (facet= facetA; facet; facet= ((facet == facetA) ? facetB : NULL)) {
-    if (facet->visitid != qh visit_id) {
-      facet->visitid= qh visit_id;
-      qh_setappend(&facets, facet);
-    }
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid == qh visit_id)
-        continue;
-      neighbor->visitid= qh visit_id;
-      if (printall || !qh_skipfacet(neighbor))
-        qh_setappend(&facets, neighbor);
-    }
-  }
-  qh_printfacets(fp, format, NULL, facets, printall);
-  qh_settempfree(&facets);
-} /* printneighborhood */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printpoint">-</a>
-
-  qh_printpoint( fp, string, point )
-  qh_printpointid( fp, string, dim, point, id )
-    prints the coordinates of a point
-
-  returns:
-    if string is defined
-      prints 'string p%d' (skips p%d if id=-1)
-
-  notes:
-    nop if point is NULL
-    prints id unless it is undefined (-1)
-    Same as QhullPoint's printPoint
-*/
-void qh_printpoint(FILE *fp, const char *string, pointT *point) {
-  int id= qh_pointid( point);
-
-  qh_printpointid( fp, string, qh hull_dim, point, id);
-} /* printpoint */
-
-void qh_printpointid(FILE *fp, const char *string, int dim, pointT *point, int id) {
-  int k;
-  realT r; /*bug fix*/
-
-  if (!point)
-    return;
-  if (string) {
-    qh_fprintf(fp, 9211, "%s", string);
-   if (id != -1)
-      qh_fprintf(fp, 9212, " p%d: ", id);
-  }
-  for (k=dim; k--; ) {
-    r= *point++;
-    if (string)
-      qh_fprintf(fp, 9213, " %8.4g", r);
-    else
-      qh_fprintf(fp, 9214, qh_REAL_1, r);
-  }
-  qh_fprintf(fp, 9215, "\n");
-} /* printpointid */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printpoint3">-</a>
-
-  qh_printpoint3( fp, point )
-    prints 2-d, 3-d, or 4-d point as Geomview 3-d coordinates
-*/
-void qh_printpoint3 (FILE *fp, pointT *point) {
-  int k;
-  realT p[4];
-
-  qh_projectdim3 (point, p);
-  for (k=0; k < 3; k++)
-    qh_fprintf(fp, 9216, "%8.4g ", p[k]);
-  qh_fprintf(fp, 9217, " # p%d\n", qh_pointid(point));
-} /* printpoint3 */
-
-/*----------------------------------------
--printpoints- print pointids for a set of points starting at index
-   see geom.c
-*/
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printpoints_out">-</a>
-
-  qh_printpoints_out( fp, facetlist, facets, printall )
-    prints vertices, coplanar/inside points, for facets by their point coordinates
-    allows qh.CDDoutput
-
-  notes:
-    same format as qhull input
-    if no coplanar/interior points,
-      same order as qh_printextremes
-*/
-void qh_printpoints_out(FILE *fp, facetT *facetlist, setT *facets, boolT printall) {
-  int allpoints= qh num_points + qh_setsize(qh other_points);
-  int numpoints=0, point_i, point_n;
-  setT *vertices, *points;
-  facetT *facet, **facetp;
-  pointT *point, **pointp;
-  vertexT *vertex, **vertexp;
-  int id;
-
-  points= qh_settemp(allpoints);
-  qh_setzero(points, 0, allpoints);
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  FOREACHvertex_(vertices) {
-    id= qh_pointid(vertex->point);
-    if (id >= 0)
-      SETelem_(points, id)= vertex->point;
-  }
-  if (qh KEEPinside || qh KEEPcoplanar || qh KEEPnearinside) {
-    FORALLfacet_(facetlist) {
-      if (!printall && qh_skipfacet(facet))
-        continue;
-      FOREACHpoint_(facet->coplanarset) {
-        id= qh_pointid(point);
-        if (id >= 0)
-          SETelem_(points, id)= point;
-      }
-    }
-    FOREACHfacet_(facets) {
-      if (!printall && qh_skipfacet(facet))
-        continue;
-      FOREACHpoint_(facet->coplanarset) {
-        id= qh_pointid(point);
-        if (id >= 0)
-          SETelem_(points, id)= point;
-      }
-    }
-  }
-  qh_settempfree(&vertices);
-  FOREACHpoint_i_(points) {
-    if (point)
-      numpoints++;
-  }
-  if (qh CDDoutput)
-    qh_fprintf(fp, 9218, "%s | %s\nbegin\n%d %d real\n", qh rbox_command,
-             qh qhull_command, numpoints, qh hull_dim + 1);
-  else
-    qh_fprintf(fp, 9219, "%d\n%d\n", qh hull_dim, numpoints);
-  FOREACHpoint_i_(points) {
-    if (point) {
-      if (qh CDDoutput)
-        qh_fprintf(fp, 9220, "1 ");
-      qh_printpoint(fp, NULL, point);
-    }
-  }
-  if (qh CDDoutput)
-    qh_fprintf(fp, 9221, "end\n");
-  qh_settempfree(&points);
-} /* printpoints_out */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printpointvect">-</a>
-
-  qh_printpointvect( fp, point, normal, center, radius, color )
-    prints a 2-d, 3-d, or 4-d point as 3-d VECT's relative to normal or to center point
-*/
-void qh_printpointvect(FILE *fp, pointT *point, coordT *normal, pointT *center, realT radius, realT color[3]) {
-  realT diff[4], pointA[4];
-  int k;
-
-  for (k=qh hull_dim; k--; ) {
-    if (center)
-      diff[k]= point[k]-center[k];
-    else if (normal)
-      diff[k]= normal[k];
-    else
-      diff[k]= 0;
-  }
-  if (center)
-    qh_normalize2 (diff, qh hull_dim, True, NULL, NULL);
-  for (k=qh hull_dim; k--; )
-    pointA[k]= point[k]+diff[k] * radius;
-  qh_printline3geom(fp, point, pointA, color);
-} /* printpointvect */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printpointvect2">-</a>
-
-  qh_printpointvect2( fp, point, normal, center, radius )
-    prints a 2-d, 3-d, or 4-d point as 2 3-d VECT's for an imprecise point
-*/
-void qh_printpointvect2 (FILE *fp, pointT *point, coordT *normal, pointT *center, realT radius) {
-  realT red[3]={1, 0, 0}, yellow[3]={1, 1, 0};
-
-  qh_printpointvect(fp, point, normal, center, radius, red);
-  qh_printpointvect(fp, point, normal, center, -radius, yellow);
-} /* printpointvect2 */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printridge">-</a>
-
-  qh_printridge( fp, ridge )
-    prints the information in a ridge
-
-  notes:
-    for qh_printfacetridges()
-    same as operator<< [QhullRidge.cpp]
-*/
-void qh_printridge(FILE *fp, ridgeT *ridge) {
-
-  qh_fprintf(fp, 9222, "     - r%d", ridge->id);
-  if (ridge->tested)
-    qh_fprintf(fp, 9223, " tested");
-  if (ridge->nonconvex)
-    qh_fprintf(fp, 9224, " nonconvex");
-  qh_fprintf(fp, 9225, "\n");
-  qh_printvertices(fp, "           vertices:", ridge->vertices);
-  if (ridge->top && ridge->bottom)
-    qh_fprintf(fp, 9226, "           between f%d and f%d\n",
-            ridge->top->id, ridge->bottom->id);
-} /* printridge */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printspheres">-</a>
-
-  qh_printspheres( fp, vertices, radius )
-    prints 3-d vertices as OFF spheres
-
-  notes:
-    inflated octahedron from Stuart Levy earth/mksphere2
-*/
-void qh_printspheres(FILE *fp, setT *vertices, realT radius) {
-  vertexT *vertex, **vertexp;
-
-  qh printoutnum++;
-  qh_fprintf(fp, 9227, "{appearance {-edge -normal normscale 0} {\n\
-INST geom {define vsphere OFF\n\
-18 32 48\n\
-\n\
-0 0 1\n\
-1 0 0\n\
-0 1 0\n\
--1 0 0\n\
-0 -1 0\n\
-0 0 -1\n\
-0.707107 0 0.707107\n\
-0 -0.707107 0.707107\n\
-0.707107 -0.707107 0\n\
--0.707107 0 0.707107\n\
--0.707107 -0.707107 0\n\
-0 0.707107 0.707107\n\
--0.707107 0.707107 0\n\
-0.707107 0.707107 0\n\
-0.707107 0 -0.707107\n\
-0 0.707107 -0.707107\n\
--0.707107 0 -0.707107\n\
-0 -0.707107 -0.707107\n\
-\n\
-3 0 6 11\n\
-3 0 7 6 \n\
-3 0 9 7 \n\
-3 0 11 9\n\
-3 1 6 8 \n\
-3 1 8 14\n\
-3 1 13 6\n\
-3 1 14 13\n\
-3 2 11 13\n\
-3 2 12 11\n\
-3 2 13 15\n\
-3 2 15 12\n\
-3 3 9 12\n\
-3 3 10 9\n\
-3 3 12 16\n\
-3 3 16 10\n\
-3 4 7 10\n\
-3 4 8 7\n\
-3 4 10 17\n\
-3 4 17 8\n\
-3 5 14 17\n\
-3 5 15 14\n\
-3 5 16 15\n\
-3 5 17 16\n\
-3 6 13 11\n\
-3 7 8 6\n\
-3 9 10 7\n\
-3 11 12 9\n\
-3 14 8 17\n\
-3 15 13 14\n\
-3 16 12 15\n\
-3 17 10 16\n} transforms { TLIST\n");
-  FOREACHvertex_(vertices) {
-    qh_fprintf(fp, 9228, "%8.4g 0 0 0 # v%d\n 0 %8.4g 0 0\n0 0 %8.4g 0\n",
-      radius, vertex->id, radius, radius);
-    qh_printpoint3 (fp, vertex->point);
-    qh_fprintf(fp, 9229, "1\n");
-  }
-  qh_fprintf(fp, 9230, "}}}\n");
-} /* printspheres */
-
-
-/*----------------------------------------------
--printsummary-
-                see libqhull.c
-*/
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvdiagram">-</a>
-
-  qh_printvdiagram( fp, format, facetlist, facets, printall )
-    print voronoi diagram
-      # of pairs of input sites
-      #indices site1 site2 vertex1 ...
-
-    sites indexed by input point id
-      point 0 is the first input point
-    vertices indexed by 'o' and 'p' order
-      vertex 0 is the 'vertex-at-infinity'
-      vertex 1 is the first Voronoi vertex
-
-  see:
-    qh_printvoronoi()
-    qh_eachvoronoi_all()
-
-  notes:
-    if all facets are upperdelaunay,
-      prints upper hull (furthest-site Voronoi diagram)
-*/
-void qh_printvdiagram(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall) {
-  setT *vertices;
-  int totcount, numcenters;
-  boolT isLower;
-  qh_RIDGE innerouter= qh_RIDGEall;
-  printvridgeT printvridge= NULL;
-
-  if (format == qh_PRINTvertices) {
-    innerouter= qh_RIDGEall;
-    printvridge= qh_printvridge;
-  }else if (format == qh_PRINTinner) {
-    innerouter= qh_RIDGEinner;
-    printvridge= qh_printvnorm;
-  }else if (format == qh_PRINTouter) {
-    innerouter= qh_RIDGEouter;
-    printvridge= qh_printvnorm;
-  }else {
-    qh_fprintf(qh ferr, 6219, "Qhull internal error (qh_printvdiagram): unknown print format %d.\n", format);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  vertices= qh_markvoronoi(facetlist, facets, printall, &isLower, &numcenters);
-  totcount= qh_printvdiagram2 (NULL, NULL, vertices, innerouter, False);
-  qh_fprintf(fp, 9231, "%d\n", totcount);
-  totcount= qh_printvdiagram2 (fp, printvridge, vertices, innerouter, True /* inorder*/);
-  qh_settempfree(&vertices);
-#if 0  /* for testing qh_eachvoronoi_all */
-  qh_fprintf(fp, 9232, "\n");
-  totcount= qh_eachvoronoi_all(fp, printvridge, qh UPPERdelaunay, innerouter, True /* inorder*/);
-  qh_fprintf(fp, 9233, "%d\n", totcount);
-#endif
-} /* printvdiagram */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvdiagram2">-</a>
-
-  qh_printvdiagram2( fp, printvridge, vertices, innerouter, inorder )
-    visit all pairs of input sites (vertices) for selected Voronoi vertices
-    vertices may include NULLs
-
-  innerouter:
-    qh_RIDGEall   print inner ridges(bounded) and outer ridges(unbounded)
-    qh_RIDGEinner print only inner ridges
-    qh_RIDGEouter print only outer ridges
-
-  inorder:
-    print 3-d Voronoi vertices in order
-
-  assumes:
-    qh_markvoronoi marked facet->visitid for Voronoi vertices
-    all facet->seen= False
-    all facet->seen2= True
-
-  returns:
-    total number of Voronoi ridges
-    if printvridge,
-      calls printvridge( fp, vertex, vertexA, centers) for each ridge
-      [see qh_eachvoronoi()]
-
-  see:
-    qh_eachvoronoi_all()
-*/
-int qh_printvdiagram2 (FILE *fp, printvridgeT printvridge, setT *vertices, qh_RIDGE innerouter, boolT inorder) {
-  int totcount= 0;
-  int vertex_i, vertex_n;
-  vertexT *vertex;
-
-  FORALLvertices
-    vertex->seen= False;
-  FOREACHvertex_i_(vertices) {
-    if (vertex) {
-      if (qh GOODvertex > 0 && qh_pointid(vertex->point)+1 != qh GOODvertex)
-        continue;
-      totcount += qh_eachvoronoi(fp, printvridge, vertex, !qh_ALL, innerouter, inorder);
-    }
-  }
-  return totcount;
-} /* printvdiagram2 */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvertex">-</a>
-
-  qh_printvertex( fp, vertex )
-    prints the information in a vertex
-    Duplicated as operator<< [QhullVertex.cpp]
-*/
-void qh_printvertex(FILE *fp, vertexT *vertex) {
-  pointT *point;
-  int k, count= 0;
-  facetT *neighbor, **neighborp;
-  realT r; /*bug fix*/
-
-  if (!vertex) {
-    qh_fprintf(fp, 9234, "  NULLvertex\n");
-    return;
-  }
-  qh_fprintf(fp, 9235, "- p%d(v%d):", qh_pointid(vertex->point), vertex->id);
-  point= vertex->point;
-  if (point) {
-    for (k=qh hull_dim; k--; ) {
-      r= *point++;
-      qh_fprintf(fp, 9236, " %5.2g", r);
-    }
-  }
-  if (vertex->deleted)
-    qh_fprintf(fp, 9237, " deleted");
-  if (vertex->delridge)
-    qh_fprintf(fp, 9238, " ridgedeleted");
-  qh_fprintf(fp, 9239, "\n");
-  if (vertex->neighbors) {
-    qh_fprintf(fp, 9240, "  neighbors:");
-    FOREACHneighbor_(vertex) {
-      if (++count % 100 == 0)
-        qh_fprintf(fp, 9241, "\n     ");
-      qh_fprintf(fp, 9242, " f%d", neighbor->id);
-    }
-    qh_fprintf(fp, 9243, "\n");
-  }
-} /* printvertex */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvertexlist">-</a>
-
-  qh_printvertexlist( fp, string, facetlist, facets, printall )
-    prints vertices used by a facetlist or facet set
-    tests qh_skipfacet() if !printall
-*/
-void qh_printvertexlist(FILE *fp, const char* string, facetT *facetlist,
-                         setT *facets, boolT printall) {
-  vertexT *vertex, **vertexp;
-  setT *vertices;
-
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  qh_fprintf(fp, 9244, "%s", string);
-  FOREACHvertex_(vertices)
-    qh_printvertex(fp, vertex);
-  qh_settempfree(&vertices);
-} /* printvertexlist */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvertices">-</a>
-
-  qh_printvertices( fp, string, vertices )
-    prints vertices in a set
-    duplicated as printVertexSet [QhullVertex.cpp]
-*/
-void qh_printvertices(FILE *fp, const char* string, setT *vertices) {
-  vertexT *vertex, **vertexp;
-
-  qh_fprintf(fp, 9245, "%s", string);
-  FOREACHvertex_(vertices)
-    qh_fprintf(fp, 9246, " p%d(v%d)", qh_pointid(vertex->point), vertex->id);
-  qh_fprintf(fp, 9247, "\n");
-} /* printvertices */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvneighbors">-</a>
-
-  qh_printvneighbors( fp, facetlist, facets, printall )
-    print vertex neighbors of vertices in facetlist and facets ('FN')
-
-  notes:
-    qh_countfacets clears facet->visitid for non-printed facets
-
-  design:
-    collect facet count and related statistics
-    if necessary, build neighbor sets for each vertex
-    collect vertices in facetlist and facets
-    build a point array for point->vertex and point->coplanar facet
-    for each point
-      list vertex neighbors or coplanar facet
-*/
-void qh_printvneighbors(FILE *fp, facetT* facetlist, setT *facets, boolT printall) {
-  int numfacets, numsimplicial, numridges, totneighbors, numneighbors, numcoplanars, numtricoplanars;
-  setT *vertices, *vertex_points, *coplanar_points;
-  int numpoints= qh num_points + qh_setsize(qh other_points);
-  vertexT *vertex, **vertexp;
-  int vertex_i, vertex_n;
-  facetT *facet, **facetp, *neighbor, **neighborp;
-  pointT *point, **pointp;
-
-  qh_countfacets(facetlist, facets, printall, &numfacets, &numsimplicial,
-      &totneighbors, &numridges, &numcoplanars, &numtricoplanars);  /* sets facet->visitid */
-  qh_fprintf(fp, 9248, "%d\n", numpoints);
-  qh_vertexneighbors();
-  vertices= qh_facetvertices(facetlist, facets, printall);
-  vertex_points= qh_settemp(numpoints);
-  coplanar_points= qh_settemp(numpoints);
-  qh_setzero(vertex_points, 0, numpoints);
-  qh_setzero(coplanar_points, 0, numpoints);
-  FOREACHvertex_(vertices)
-    qh_point_add(vertex_points, vertex->point, vertex);
-  FORALLfacet_(facetlist) {
-    FOREACHpoint_(facet->coplanarset)
-      qh_point_add(coplanar_points, point, facet);
-  }
-  FOREACHfacet_(facets) {
-    FOREACHpoint_(facet->coplanarset)
-      qh_point_add(coplanar_points, point, facet);
-  }
-  FOREACHvertex_i_(vertex_points) {
-    if (vertex) {
-      numneighbors= qh_setsize(vertex->neighbors);
-      qh_fprintf(fp, 9249, "%d", numneighbors);
-      if (qh hull_dim == 3)
-        qh_order_vertexneighbors(vertex);
-      else if (qh hull_dim >= 4)
-        qsort(SETaddr_(vertex->neighbors, facetT), (size_t)numneighbors,
-             sizeof(facetT *), qh_compare_facetvisit);
-      FOREACHneighbor_(vertex)
-        qh_fprintf(fp, 9250, " %d",
-                 neighbor->visitid ? neighbor->visitid - 1 : 0 - neighbor->id);
-      qh_fprintf(fp, 9251, "\n");
-    }else if ((facet= SETelemt_(coplanar_points, vertex_i, facetT)))
-      qh_fprintf(fp, 9252, "1 %d\n",
-                  facet->visitid ? facet->visitid - 1 : 0 - facet->id);
-    else
-      qh_fprintf(fp, 9253, "0\n");
-  }
-  qh_settempfree(&coplanar_points);
-  qh_settempfree(&vertex_points);
-  qh_settempfree(&vertices);
-} /* printvneighbors */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvoronoi">-</a>
-
-  qh_printvoronoi( fp, format, facetlist, facets, printall )
-    print voronoi diagram in 'o' or 'G' format
-    for 'o' format
-      prints voronoi centers for each facet and for infinity
-      for each vertex, lists ids of printed facets or infinity
-      assumes facetlist and facets are disjoint
-    for 'G' format
-      prints an OFF object
-      adds a 0 coordinate to center
-      prints infinity but does not list in vertices
-
-  see:
-    qh_printvdiagram()
-
-  notes:
-    if 'o',
-      prints a line for each point except "at-infinity"
-    if all facets are upperdelaunay,
-      reverses lower and upper hull
-*/
-void qh_printvoronoi(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall) {
-  int k, numcenters, numvertices= 0, numneighbors, numinf, vid=1, vertex_i, vertex_n;
-  facetT *facet, **facetp, *neighbor, **neighborp;
-  setT *vertices;
-  vertexT *vertex;
-  boolT isLower;
-  unsigned int numfacets= (unsigned int) qh num_facets;
-
-  vertices= qh_markvoronoi(facetlist, facets, printall, &isLower, &numcenters);
-  FOREACHvertex_i_(vertices) {
-    if (vertex) {
-      numvertices++;
-      numneighbors = numinf = 0;
-      FOREACHneighbor_(vertex) {
-        if (neighbor->visitid == 0)
-          numinf= 1;
-        else if (neighbor->visitid < numfacets)
-          numneighbors++;
-      }
-      if (numinf && !numneighbors) {
-        SETelem_(vertices, vertex_i)= NULL;
-        numvertices--;
-      }
-    }
-  }
-  if (format == qh_PRINTgeom)
-    qh_fprintf(fp, 9254, "{appearance {+edge -face} OFF %d %d 1 # Voronoi centers and cells\n",
-                numcenters, numvertices);
-  else
-    qh_fprintf(fp, 9255, "%d\n%d %d 1\n", qh hull_dim-1, numcenters, qh_setsize(vertices));
-  if (format == qh_PRINTgeom) {
-    for (k=qh hull_dim-1; k--; )
-      qh_fprintf(fp, 9256, qh_REAL_1, 0.0);
-    qh_fprintf(fp, 9257, " 0 # infinity not used\n");
-  }else {
-    for (k=qh hull_dim-1; k--; )
-      qh_fprintf(fp, 9258, qh_REAL_1, qh_INFINITE);
-    qh_fprintf(fp, 9259, "\n");
-  }
-  FORALLfacet_(facetlist) {
-    if (facet->visitid && facet->visitid < numfacets) {
-      if (format == qh_PRINTgeom)
-        qh_fprintf(fp, 9260, "# %d f%d\n", vid++, facet->id);
-      qh_printcenter(fp, format, NULL, facet);
-    }
-  }
-  FOREACHfacet_(facets) {
-    if (facet->visitid && facet->visitid < numfacets) {
-      if (format == qh_PRINTgeom)
-        qh_fprintf(fp, 9261, "# %d f%d\n", vid++, facet->id);
-      qh_printcenter(fp, format, NULL, facet);
-    }
-  }
-  FOREACHvertex_i_(vertices) {
-    numneighbors= 0;
-    numinf=0;
-    if (vertex) {
-      if (qh hull_dim == 3)
-        qh_order_vertexneighbors(vertex);
-      else if (qh hull_dim >= 4)
-        qsort(SETaddr_(vertex->neighbors, facetT),
-             (size_t)qh_setsize(vertex->neighbors),
-             sizeof(facetT *), qh_compare_facetvisit);
-      FOREACHneighbor_(vertex) {
-        if (neighbor->visitid == 0)
-          numinf= 1;
-        else if (neighbor->visitid < numfacets)
-          numneighbors++;
-      }
-    }
-    if (format == qh_PRINTgeom) {
-      if (vertex) {
-        qh_fprintf(fp, 9262, "%d", numneighbors);
-        FOREACHneighbor_(vertex) {
-          if (neighbor->visitid && neighbor->visitid < numfacets)
-            qh_fprintf(fp, 9263, " %d", neighbor->visitid);
-        }
-        qh_fprintf(fp, 9264, " # p%d(v%d)\n", vertex_i, vertex->id);
-      }else
-        qh_fprintf(fp, 9265, " # p%d is coplanar or isolated\n", vertex_i);
-    }else {
-      if (numinf)
-        numneighbors++;
-      qh_fprintf(fp, 9266, "%d", numneighbors);
-      if (vertex) {
-        FOREACHneighbor_(vertex) {
-          if (neighbor->visitid == 0) {
-            if (numinf) {
-              numinf= 0;
-              qh_fprintf(fp, 9267, " %d", neighbor->visitid);
-            }
-          }else if (neighbor->visitid < numfacets)
-            qh_fprintf(fp, 9268, " %d", neighbor->visitid);
-        }
-      }
-      qh_fprintf(fp, 9269, "\n");
-    }
-  }
-  if (format == qh_PRINTgeom)
-    qh_fprintf(fp, 9270, "}\n");
-  qh_settempfree(&vertices);
-} /* printvoronoi */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvnorm">-</a>
-
-  qh_printvnorm( fp, vertex, vertexA, centers, unbounded )
-    print one separating plane of the Voronoi diagram for a pair of input sites
-    unbounded==True if centers includes vertex-at-infinity
-
-  assumes:
-    qh_ASvoronoi and qh_vertexneighbors() already set
-
-  note:
-    parameter unbounded is UNUSED by this callback
-
-  see:
-    qh_printvdiagram()
-    qh_eachvoronoi()
-*/
-void qh_printvnorm(FILE *fp, vertexT *vertex, vertexT *vertexA, setT *centers, boolT unbounded) {
-  pointT *normal;
-  realT offset;
-  int k;
-  QHULL_UNUSED(unbounded);
-
-  normal= qh_detvnorm(vertex, vertexA, centers, &offset);
-  qh_fprintf(fp, 9271, "%d %d %d ",
-      2+qh hull_dim, qh_pointid(vertex->point), qh_pointid(vertexA->point));
-  for (k=0; k< qh hull_dim-1; k++)
-    qh_fprintf(fp, 9272, qh_REAL_1, normal[k]);
-  qh_fprintf(fp, 9273, qh_REAL_1, offset);
-  qh_fprintf(fp, 9274, "\n");
-} /* printvnorm */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printvridge">-</a>
-
-  qh_printvridge( fp, vertex, vertexA, centers, unbounded )
-    print one ridge of the Voronoi diagram for a pair of input sites
-    unbounded==True if centers includes vertex-at-infinity
-
-  see:
-    qh_printvdiagram()
-
-  notes:
-    the user may use a different function
-    parameter unbounded is UNUSED
-*/
-void qh_printvridge(FILE *fp, vertexT *vertex, vertexT *vertexA, setT *centers, boolT unbounded) {
-  facetT *facet, **facetp;
-  QHULL_UNUSED(unbounded);
-
-  qh_fprintf(fp, 9275, "%d %d %d", qh_setsize(centers)+2,
-       qh_pointid(vertex->point), qh_pointid(vertexA->point));
-  FOREACHfacet_(centers)
-    qh_fprintf(fp, 9276, " %d", facet->visitid);
-  qh_fprintf(fp, 9277, "\n");
-} /* printvridge */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="projectdim3">-</a>
-
-  qh_projectdim3( source, destination )
-    project 2-d 3-d or 4-d point to a 3-d point
-    uses qh.DROPdim and qh.hull_dim
-    source and destination may be the same
-
-  notes:
-    allocate 4 elements to destination just in case
-*/
-void qh_projectdim3 (pointT *source, pointT *destination) {
-  int i,k;
-
-  for (k=0, i=0; k < qh hull_dim; k++) {
-    if (qh hull_dim == 4) {
-      if (k != qh DROPdim)
-        destination[i++]= source[k];
-    }else if (k == qh DROPdim)
-      destination[i++]= 0;
-    else
-      destination[i++]= source[k];
-  }
-  while (i < 3)
-    destination[i++]= 0.0;
-} /* projectdim3 */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="readfeasible">-</a>
-
-  qh_readfeasible( dim, curline )
-    read feasible point from current line and qh.fin
-
-  returns:
-    number of lines read from qh.fin
-    sets qh.FEASIBLEpoint with malloc'd coordinates
-
-  notes:
-    checks for qh.HALFspace
-    assumes dim > 1
-
-  see:
-    qh_setfeasible
-*/
-int qh_readfeasible(int dim, const char *curline) {
-  boolT isfirst= True;
-  int linecount= 0, tokcount= 0;
-  const char *s;
-  char *t, firstline[qh_MAXfirst+1];
-  coordT *coords, value;
-
-  if (!qh HALFspace) {
-    qh_fprintf(qh ferr, 6070, "qhull input error: feasible point(dim 1 coords) is only valid for halfspace intersection\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (qh feasible_string)
-    qh_fprintf(qh ferr, 7057, "qhull input warning: feasible point(dim 1 coords) overrides 'Hn,n,n' feasible point for halfspace intersection\n");
-  if (!(qh feasible_point= (coordT*)qh_malloc(dim* sizeof(coordT)))) {
-    qh_fprintf(qh ferr, 6071, "qhull error: insufficient memory for feasible point\n");
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  coords= qh feasible_point;
-  while ((s= (isfirst ?  curline : fgets(firstline, qh_MAXfirst, qh fin)))) {
-    if (isfirst)
-      isfirst= False;
-    else
-      linecount++;
-    while (*s) {
-      while (isspace(*s))
-        s++;
-      value= qh_strtod(s, &t);
-      if (s == t)
-        break;
-      s= t;
-      *(coords++)= value;
-      if (++tokcount == dim) {
-        while (isspace(*s))
-          s++;
-        qh_strtod(s, &t);
-        if (s != t) {
-          qh_fprintf(qh ferr, 6072, "qhull input error: coordinates for feasible point do not finish out the line: %s\n",
-               s);
-          qh_errexit(qh_ERRinput, NULL, NULL);
-        }
-        return linecount;
-      }
-    }
-  }
-  qh_fprintf(qh ferr, 6073, "qhull input error: only %d coordinates.  Could not read %d-d feasible point.\n",
-           tokcount, dim);
-  qh_errexit(qh_ERRinput, NULL, NULL);
-  return 0;
-} /* readfeasible */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="readpoints">-</a>
-
-  qh_readpoints( numpoints, dimension, ismalloc )
-    read points from qh.fin into qh.first_point, qh.num_points
-    qh.fin is lines of coordinates, one per vertex, first line number of points
-    if 'rbox D4',
-      gives message
-    if qh.ATinfinity,
-      adds point-at-infinity for Delaunay triangulations
-
-  returns:
-    number of points, array of point coordinates, dimension, ismalloc True
-    if qh.DELAUNAY & !qh.PROJECTinput, projects points to paraboloid
-        and clears qh.PROJECTdelaunay
-    if qh.HALFspace, reads optional feasible point, reads halfspaces,
-        converts to dual.
-
-  for feasible point in "cdd format" in 3-d:
-    3 1
-    coordinates
-    comments
-    begin
-    n 4 real/integer
-    ...
-    end
-
-  notes:
-    dimension will change in qh_initqhull_globals if qh.PROJECTinput
-    uses malloc() since qh_mem not initialized
-    FIXUP QH11012: qh_readpoints needs rewriting, too long
-*/
-coordT *qh_readpoints(int *numpoints, int *dimension, boolT *ismalloc) {
-  coordT *points, *coords, *infinity= NULL;
-  realT paraboloid, maxboloid= -REALmax, value;
-  realT *coordp= NULL, *offsetp= NULL, *normalp= NULL;
-  char *s= 0, *t, firstline[qh_MAXfirst+1];
-  int diminput=0, numinput=0, dimfeasible= 0, newnum, k, tempi;
-  int firsttext=0, firstshort=0, firstlong=0, firstpoint=0;
-  int tokcount= 0, linecount=0, maxcount, coordcount=0;
-  boolT islong, isfirst= True, wasbegin= False;
-  boolT isdelaunay= qh DELAUNAY && !qh PROJECTinput;
-
-  if (qh CDDinput) {
-    while ((s= fgets(firstline, qh_MAXfirst, qh fin))) {
-      linecount++;
-      if (qh HALFspace && linecount == 1 && isdigit(*s)) {
-        dimfeasible= qh_strtol(s, &s);
-        while (isspace(*s))
-          s++;
-        if (qh_strtol(s, &s) == 1)
-          linecount += qh_readfeasible(dimfeasible, s);
-        else
-          dimfeasible= 0;
-      }else if (!memcmp(firstline, "begin", (size_t)5) || !memcmp(firstline, "BEGIN", (size_t)5))
-        break;
-      else if (!*qh rbox_command)
-        strncat(qh rbox_command, s, sizeof(qh rbox_command)-1);
-    }
-    if (!s) {
-      qh_fprintf(qh ferr, 6074, "qhull input error: missing \"begin\" for cdd-formated input\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-  }
-  while (!numinput && (s= fgets(firstline, qh_MAXfirst, qh fin))) {
-    linecount++;
-    if (!memcmp(s, "begin", (size_t)5) || !memcmp(s, "BEGIN", (size_t)5))
-      wasbegin= True;
-    while (*s) {
-      while (isspace(*s))
-        s++;
-      if (!*s)
-        break;
-      if (!isdigit(*s)) {
-        if (!*qh rbox_command) {
-          strncat(qh rbox_command, s, sizeof(qh rbox_command)-1);
-          firsttext= linecount;
-        }
-        break;
-      }
-      if (!diminput)
-        diminput= qh_strtol(s, &s);
-      else {
-        numinput= qh_strtol(s, &s);
-        if (numinput == 1 && diminput >= 2 && qh HALFspace && !qh CDDinput) {
-          linecount += qh_readfeasible(diminput, s); /* checks if ok */
-          dimfeasible= diminput;
-          diminput= numinput= 0;
-        }else
-          break;
-      }
-    }
-  }
-  if (!s) {
-    qh_fprintf(qh ferr, 6075, "qhull input error: short input file.  Did not find dimension and number of points\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (diminput > numinput) {
-    tempi= diminput;    /* exchange dim and n, e.g., for cdd input format */
-    diminput= numinput;
-    numinput= tempi;
-  }
-  if (diminput < 2) {
-    qh_fprintf(qh ferr, 6220,"qhull input error: dimension %d(first number) should be at least 2\n",
-            diminput);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (isdelaunay) {
-    qh PROJECTdelaunay= False;
-    if (qh CDDinput)
-      *dimension= diminput;
-    else
-      *dimension= diminput+1;
-    *numpoints= numinput;
-    if (qh ATinfinity)
-      (*numpoints)++;
-  }else if (qh HALFspace) {
-    *dimension= diminput - 1;
-    *numpoints= numinput;
-    if (diminput < 3) {
-      qh_fprintf(qh ferr, 6221,"qhull input error: dimension %d(first number, includes offset) should be at least 3 for halfspaces\n",
-            diminput);
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    if (dimfeasible) {
-      if (dimfeasible != *dimension) {
-        qh_fprintf(qh ferr, 6222,"qhull input error: dimension %d of feasible point is not one less than dimension %d for halfspaces\n",
-          dimfeasible, diminput);
-        qh_errexit(qh_ERRinput, NULL, NULL);
-      }
-    }else
-      qh_setfeasible(*dimension);
-  }else {
-    if (qh CDDinput)
-      *dimension= diminput-1;
-    else
-      *dimension= diminput;
-    *numpoints= numinput;
-  }
-  qh normal_size= *dimension * sizeof(coordT); /* for tracing with qh_printpoint */
-  if (qh HALFspace) {
-    qh half_space= coordp= (coordT*)qh_malloc(qh normal_size + sizeof(coordT));
-    if (qh CDDinput) {
-      offsetp= qh half_space;
-      normalp= offsetp + 1;
-    }else {
-      normalp= qh half_space;
-      offsetp= normalp + *dimension;
-    }
-  }
-  qh maxline= diminput * (qh_REALdigits + 5);
-  maximize_(qh maxline, 500);
-  qh line= (char*)qh_malloc((qh maxline+1) * sizeof(char));
-  *ismalloc= True;  /* use malloc since memory not setup */
-  coords= points= qh temp_malloc=
-        (coordT*)qh_malloc((*numpoints)*(*dimension)*sizeof(coordT));
-  if (!coords || !qh line || (qh HALFspace && !qh half_space)) {
-    qh_fprintf(qh ferr, 6076, "qhull error: insufficient memory to read %d points\n",
-            numinput);
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  if (isdelaunay && qh ATinfinity) {
-    infinity= points + numinput * (*dimension);
-    for (k= (*dimension) - 1; k--; )
-      infinity[k]= 0.0;
-  }
-  maxcount= numinput * diminput;
-  paraboloid= 0.0;
-  while ((s= (isfirst ?  s : fgets(qh line, qh maxline, qh fin)))) {
-    if (!isfirst) {
-      linecount++;
-      if (*s == 'e' || *s == 'E') {
-        if (!memcmp(s, "end", (size_t)3) || !memcmp(s, "END", (size_t)3)) {
-          if (qh CDDinput )
-            break;
-          else if (wasbegin)
-            qh_fprintf(qh ferr, 7058, "qhull input warning: the input appears to be in cdd format.  If so, use 'Fd'\n");
-        }
-      }
-    }
-    islong= False;
-    while (*s) {
-      while (isspace(*s))
-        s++;
-      value= qh_strtod(s, &t);
-      if (s == t) {
-        if (!*qh rbox_command)
-         strncat(qh rbox_command, s, sizeof(qh rbox_command)-1);
-        if (*s && !firsttext)
-          firsttext= linecount;
-        if (!islong && !firstshort && coordcount)
-          firstshort= linecount;
-        break;
-      }
-      if (!firstpoint)
-        firstpoint= linecount;
-      s= t;
-      if (++tokcount > maxcount)
-        continue;
-      if (qh HALFspace) {
-        if (qh CDDinput)
-          *(coordp++)= -value; /* both coefficients and offset */
-        else
-          *(coordp++)= value;
-      }else {
-        *(coords++)= value;
-        if (qh CDDinput && !coordcount) {
-          if (value != 1.0) {
-            qh_fprintf(qh ferr, 6077, "qhull input error: for cdd format, point at line %d does not start with '1'\n",
-                   linecount);
-            qh_errexit(qh_ERRinput, NULL, NULL);
-          }
-          coords--;
-        }else if (isdelaunay) {
-          paraboloid += value * value;
-          if (qh ATinfinity) {
-            if (qh CDDinput)
-              infinity[coordcount-1] += value;
-            else
-              infinity[coordcount] += value;
-          }
-        }
-      }
-      if (++coordcount == diminput) {
-        coordcount= 0;
-        if (isdelaunay) {
-          *(coords++)= paraboloid;
-          maximize_(maxboloid, paraboloid);
-          paraboloid= 0.0;
-        }else if (qh HALFspace) {
-          if (!qh_sethalfspace(*dimension, coords, &coords, normalp, offsetp, qh feasible_point)) {
-            qh_fprintf(qh ferr, 8048, "The halfspace was on line %d\n", linecount);
-            if (wasbegin)
-              qh_fprintf(qh ferr, 8049, "The input appears to be in cdd format.  If so, you should use option 'Fd'\n");
-            qh_errexit(qh_ERRinput, NULL, NULL);
-          }
-          coordp= qh half_space;
-        }
-        while (isspace(*s))
-          s++;
-        if (*s) {
-          islong= True;
-          if (!firstlong)
-            firstlong= linecount;
-        }
-      }
-    }
-    if (!islong && !firstshort && coordcount)
-      firstshort= linecount;
-    if (!isfirst && s - qh line >= qh maxline) {
-      qh_fprintf(qh ferr, 6078, "qhull input error: line %d contained more than %d characters\n",
-              linecount, (int) (s - qh line));   /* WARN64 */
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    isfirst= False;
-  }
-  if (tokcount != maxcount) {
-    newnum= fmin_(numinput, tokcount/diminput);
-    qh_fprintf(qh ferr, 7073,"\
-qhull warning: instead of %d %d-dimensional points, input contains\n\
-%d points and %d extra coordinates.  Line %d is the first\npoint",
-       numinput, diminput, tokcount/diminput, tokcount % diminput, firstpoint);
-    if (firsttext)
-      qh_fprintf(qh ferr, 8051, ", line %d is the first comment", firsttext);
-    if (firstshort)
-      qh_fprintf(qh ferr, 8052, ", line %d is the first short\nline", firstshort);
-    if (firstlong)
-      qh_fprintf(qh ferr, 8053, ", line %d is the first long line", firstlong);
-    qh_fprintf(qh ferr, 8054, ".  Continue with %d points.\n", newnum);
-    numinput= newnum;
-    if (isdelaunay && qh ATinfinity) {
-      for (k= tokcount % diminput; k--; )
-        infinity[k] -= *(--coords);
-      *numpoints= newnum+1;
-    }else {
-      coords -= tokcount % diminput;
-      *numpoints= newnum;
-    }
-  }
-  if (isdelaunay && qh ATinfinity) {
-    for (k= (*dimension) -1; k--; )
-      infinity[k] /= numinput;
-    if (coords == infinity)
-      coords += (*dimension) -1;
-    else {
-      for (k=0; k < (*dimension) -1; k++)
-        *(coords++)= infinity[k];
-    }
-    *(coords++)= maxboloid * 1.1;
-  }
-  if (qh rbox_command[0]) {
-    qh rbox_command[strlen(qh rbox_command)-1]= '\0';
-    if (!strcmp(qh rbox_command, "./rbox D4"))
-      qh_fprintf(qh ferr, 8055, "\n\
-This is the qhull test case.  If any errors or core dumps occur,\n\
-recompile qhull with 'make new'.  If errors still occur, there is\n\
-an incompatibility.  You should try a different compiler.  You can also\n\
-change the choices in user.h.  If you discover the source of the problem,\n\
-please send mail to qhull_bug@qhull.org.\n\
-\n\
-Type 'qhull' for a short list of options.\n");
-  }
-  qh_free(qh line);
-  qh line= NULL;
-  if (qh half_space) {
-    qh_free(qh half_space);
-    qh half_space= NULL;
-  }
-  qh temp_malloc= NULL;
-  trace1((qh ferr, 1008,"qh_readpoints: read in %d %d-dimensional points\n",
-          numinput, diminput));
-  return(points);
-} /* readpoints */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="setfeasible">-</a>
-
-  qh_setfeasible( dim )
-    set qh.FEASIBLEpoint from qh.feasible_string in "n,n,n" or "n n n" format
-
-  notes:
-    "n,n,n" already checked by qh_initflags()
-    see qh_readfeasible()
-*/
-void qh_setfeasible(int dim) {
-  int tokcount= 0;
-  char *s;
-  coordT *coords, value;
-
-  if (!(s= qh feasible_string)) {
-    qh_fprintf(qh ferr, 6223, "\
-qhull input error: halfspace intersection needs a feasible point.\n\
-Either prepend the input with 1 point or use 'Hn,n,n'.  See manual.\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (!(qh feasible_point= (pointT*)qh_malloc(dim * sizeof(coordT)))) {
-    qh_fprintf(qh ferr, 6079, "qhull error: insufficient memory for 'Hn,n,n'\n");
-    qh_errexit(qh_ERRmem, NULL, NULL);
-  }
-  coords= qh feasible_point;
-  while (*s) {
-    value= qh_strtod(s, &s);
-    if (++tokcount > dim) {
-      qh_fprintf(qh ferr, 7059, "qhull input warning: more coordinates for 'H%s' than dimension %d\n",
-          qh feasible_string, dim);
-      break;
-    }
-    *(coords++)= value;
-    if (*s)
-      s++;
-  }
-  while (++tokcount <= dim)
-    *(coords++)= 0.0;
-} /* setfeasible */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="skipfacet">-</a>
-
-  qh_skipfacet( facet )
-    returns 'True' if this facet is not to be printed
-
-  notes:
-    based on the user provided slice thresholds and 'good' specifications
-*/
-boolT qh_skipfacet(facetT *facet) {
-  facetT *neighbor, **neighborp;
-
-  if (qh PRINTneighbors) {
-    if (facet->good)
-      return !qh PRINTgood;
-    FOREACHneighbor_(facet) {
-      if (neighbor->good)
-        return False;
-    }
-    return True;
-  }else if (qh PRINTgood)
-    return !facet->good;
-  else if (!facet->normal)
-    return True;
-  return(!qh_inthresholds(facet->normal, NULL));
-} /* skipfacet */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="skipfilename">-</a>
-
-  qh_skipfilename( string )
-    returns pointer to character after filename
-
-  notes:
-    skips leading spaces
-    ends with spacing or eol
-    if starts with ' or " ends with the same, skipping \' or \"
-    For qhull, qh_argv_to_command() only uses double quotes
-*/
-char *qh_skipfilename(char *filename) {
-  char *s= filename;  /* non-const due to return */
-  char c;
-
-  while (*s && isspace(*s))
-    s++;
-  c= *s++;
-  if (c == '\0') {
-    qh_fprintf(qh ferr, 6204, "qhull input error: filename expected, none found.\n");
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  if (c == '\'' || c == '"') {
-    while (*s !=c || s[-1] == '\\') {
-      if (!*s) {
-        qh_fprintf(qh ferr, 6203, "qhull input error: missing quote after filename -- %s\n", filename);
-        qh_errexit(qh_ERRinput, NULL, NULL);
-      }
-      s++;
-    }
-    s++;
-  }
-  else while (*s && !isspace(*s))
-      s++;
-  return s;
-} /* skipfilename */
diff --git a/extern/qhull/io.h b/extern/qhull/io.h
deleted file mode 100644
index 580d51b9b3fd..000000000000
--- a/extern/qhull/io.h
+++ /dev/null
@@ -1,159 +0,0 @@
-/*<html><pre>  -<a                             href="qh-io.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   io.h
-   declarations of Input/Output functions
-
-   see README, libqhull.h and io.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/io.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFio
-#define qhDEFio 1
-
-#include "libqhull.h"
-
-/*============ constants and flags ==================*/
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="qh_MAXfirst">-</a>
-
-  qh_MAXfirst
-    maximum length of first two lines of stdin
-*/
-#define qh_MAXfirst  200
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="qh_MINradius">-</a>
-
-  qh_MINradius
-    min radius for Gp and Gv, fraction of maxcoord
-*/
-#define qh_MINradius 0.02
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="qh_GEOMepsilon">-</a>
-
-  qh_GEOMepsilon
-    adjust outer planes for 'lines closer' and geomview roundoff.
-    This prevents bleed through.
-*/
-#define qh_GEOMepsilon 2e-3
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="qh_WHITESPACE">-</a>
-
-  qh_WHITESPACE
-    possible values of white space
-*/
-#define qh_WHITESPACE " \n\t\v\r\f"
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="RIDGE">-</a>
-
-  qh_RIDGE
-    to select which ridges to print in qh_eachvoronoi
-*/
-typedef enum
-{
-    qh_RIDGEall = 0, qh_RIDGEinner, qh_RIDGEouter
-}
-qh_RIDGE;
-
-/*-<a                             href="qh-io.htm#TOC"
-  >--------------------------------</a><a name="printvridgeT">-</a>
-
-  printvridgeT
-    prints results of qh_printvdiagram
-
-  see:
-    <a href="io.c#printvridge">qh_printvridge</a> for an example
-*/
-typedef void (*printvridgeT)(FILE *fp, vertexT *vertex, vertexT *vertexA, setT *centers, boolT unbounded);
-
-/*============== -prototypes in alphabetical order =========*/
-
-void    dfacet(unsigned id);
-void    dvertex(unsigned id);
-int     qh_compare_facetarea(const void *p1, const void *p2);
-int     qh_compare_facetmerge(const void *p1, const void *p2);
-int     qh_compare_facetvisit(const void *p1, const void *p2);
-int     qh_compare_vertexpoint(const void *p1, const void *p2); /* not used */
-void    qh_copyfilename(char *filename, int size, const char* source, int length);
-void    qh_countfacets(facetT *facetlist, setT *facets, boolT printall,
-              int *numfacetsp, int *numsimplicialp, int *totneighborsp,
-              int *numridgesp, int *numcoplanarsp, int *numnumtricoplanarsp);
-pointT *qh_detvnorm(vertexT *vertex, vertexT *vertexA, setT *centers, realT *offsetp);
-setT   *qh_detvridge(vertexT *vertex);
-setT   *qh_detvridge3 (vertexT *atvertex, vertexT *vertex);
-int     qh_eachvoronoi(FILE *fp, printvridgeT printvridge, vertexT *atvertex, boolT visitall, qh_RIDGE innerouter, boolT inorder);
-int     qh_eachvoronoi_all(FILE *fp, printvridgeT printvridge, boolT isUpper, qh_RIDGE innerouter, boolT inorder);
-void    qh_facet2point(facetT *facet, pointT **point0, pointT **point1, realT *mindist);
-setT   *qh_facetvertices(facetT *facetlist, setT *facets, boolT allfacets);
-void    qh_geomplanes(facetT *facet, realT *outerplane, realT *innerplane);
-void    qh_markkeep(facetT *facetlist);
-setT   *qh_markvoronoi(facetT *facetlist, setT *facets, boolT printall, boolT *isLowerp, int *numcentersp);
-void    qh_order_vertexneighbors(vertexT *vertex);
-void    qh_prepare_output(void);
-void    qh_printafacet(FILE *fp, qh_PRINT format, facetT *facet, boolT printall);
-void    qh_printbegin(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printcenter(FILE *fp, qh_PRINT format, const char *string, facetT *facet);
-void    qh_printcentrum(FILE *fp, facetT *facet, realT radius);
-void    qh_printend(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printend4geom(FILE *fp, facetT *facet, int *num, boolT printall);
-void    qh_printextremes(FILE *fp, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printextremes_2d(FILE *fp, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printextremes_d(FILE *fp, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printfacet(FILE *fp, facetT *facet);
-void    qh_printfacet2math(FILE *fp, facetT *facet, qh_PRINT format, int notfirst);
-void    qh_printfacet2geom(FILE *fp, facetT *facet, realT color[3]);
-void    qh_printfacet2geom_points(FILE *fp, pointT *point1, pointT *point2,
-                               facetT *facet, realT offset, realT color[3]);
-void    qh_printfacet3math(FILE *fp, facetT *facet, qh_PRINT format, int notfirst);
-void    qh_printfacet3geom_nonsimplicial(FILE *fp, facetT *facet, realT color[3]);
-void    qh_printfacet3geom_points(FILE *fp, setT *points, facetT *facet, realT offset, realT color[3]);
-void    qh_printfacet3geom_simplicial(FILE *fp, facetT *facet, realT color[3]);
-void    qh_printfacet3vertex(FILE *fp, facetT *facet, qh_PRINT format);
-void    qh_printfacet4geom_nonsimplicial(FILE *fp, facetT *facet, realT color[3]);
-void    qh_printfacet4geom_simplicial(FILE *fp, facetT *facet, realT color[3]);
-void    qh_printfacetNvertex_nonsimplicial(FILE *fp, facetT *facet, int id, qh_PRINT format);
-void    qh_printfacetNvertex_simplicial(FILE *fp, facetT *facet, qh_PRINT format);
-void    qh_printfacetheader(FILE *fp, facetT *facet);
-void    qh_printfacetridges(FILE *fp, facetT *facet);
-void    qh_printfacets(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printhyperplaneintersection(FILE *fp, facetT *facet1, facetT *facet2,
-                   setT *vertices, realT color[3]);
-void    qh_printneighborhood(FILE *fp, qh_PRINT format, facetT *facetA, facetT *facetB, boolT printall);
-void    qh_printline3geom(FILE *fp, pointT *pointA, pointT *pointB, realT color[3]);
-void    qh_printpoint(FILE *fp, const char *string, pointT *point);
-void    qh_printpointid(FILE *fp, const char *string, int dim, pointT *point, int id);
-void    qh_printpoint3 (FILE *fp, pointT *point);
-void    qh_printpoints_out(FILE *fp, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printpointvect(FILE *fp, pointT *point, coordT *normal, pointT *center, realT radius, realT color[3]);
-void    qh_printpointvect2 (FILE *fp, pointT *point, coordT *normal, pointT *center, realT radius);
-void    qh_printridge(FILE *fp, ridgeT *ridge);
-void    qh_printspheres(FILE *fp, setT *vertices, realT radius);
-void    qh_printvdiagram(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall);
-int     qh_printvdiagram2 (FILE *fp, printvridgeT printvridge, setT *vertices, qh_RIDGE innerouter, boolT inorder);
-void    qh_printvertex(FILE *fp, vertexT *vertex);
-void    qh_printvertexlist(FILE *fp, const char* string, facetT *facetlist,
-                         setT *facets, boolT printall);
-void    qh_printvertices(FILE *fp, const char* string, setT *vertices);
-void    qh_printvneighbors(FILE *fp, facetT* facetlist, setT *facets, boolT printall);
-void    qh_printvoronoi(FILE *fp, qh_PRINT format, facetT *facetlist, setT *facets, boolT printall);
-void    qh_printvnorm(FILE *fp, vertexT *vertex, vertexT *vertexA, setT *centers, boolT unbounded);
-void    qh_printvridge(FILE *fp, vertexT *vertex, vertexT *vertexA, setT *centers, boolT unbounded);
-void    qh_produce_output(void);
-void    qh_produce_output2(void);
-void    qh_projectdim3 (pointT *source, pointT *destination);
-int     qh_readfeasible(int dim, const char *curline);
-coordT *qh_readpoints(int *numpoints, int *dimension, boolT *ismalloc);
-void    qh_setfeasible(int dim);
-boolT   qh_skipfacet(facetT *facet);
-char   *qh_skipfilename(char *filename);
-
-#endif /* qhDEFio */
diff --git a/extern/qhull/libqhull.c b/extern/qhull/libqhull.c
deleted file mode 100644
index 34a0fc611289..000000000000
--- a/extern/qhull/libqhull.c
+++ /dev/null
@@ -1,1399 +0,0 @@
-/*<html><pre>  -<a                             href="qh-qhull.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   libqhull.c
-   Quickhull algorithm for convex hulls
-
-   qhull() and top-level routines
-
-   see qh-qhull.htm, libqhull.h, unix.c
-
-   see qhull_a.h for internal functions
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/libqhull.c#4 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-/*============= functions in alphabetic order after qhull() =======*/
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="qhull">-</a>
-
-  qh_qhull()
-    compute DIM3 convex hull of qh.num_points starting at qh.first_point
-    qh contains all global options and variables
-
-  returns:
-    returns polyhedron
-      qh.facet_list, qh.num_facets, qh.vertex_list, qh.num_vertices,
-
-    returns global variables
-      qh.hulltime, qh.max_outside, qh.interior_point, qh.max_vertex, qh.min_vertex
-
-    returns precision constants
-      qh.ANGLEround, centrum_radius, cos_max, DISTround, MAXabs_coord, ONEmerge
-
-  notes:
-    unless needed for output
-      qh.max_vertex and qh.min_vertex are max/min due to merges
-
-  see:
-    to add individual points to either qh.num_points
-      use qh_addpoint()
-
-    if qh.GETarea
-      qh_produceoutput() returns qh.totarea and qh.totvol via qh_getarea()
-
-  design:
-    record starting time
-    initialize hull and partition points
-    build convex hull
-    unless early termination
-      update facet->maxoutside for vertices, coplanar, and near-inside points
-    error if temporary sets exist
-    record end time
-*/
-
-void qh_qhull(void) {
-  int numoutside;
-
-  qh hulltime= qh_CPUclock;
-  if (qh RERUN || qh JOGGLEmax < REALmax/2)
-    qh_build_withrestart();
-  else {
-    qh_initbuild();
-    qh_buildhull();
-  }
-  if (!qh STOPpoint && !qh STOPcone) {
-    if (qh ZEROall_ok && !qh TESTvneighbors && qh MERGEexact)
-      qh_checkzero( qh_ALL);
-    if (qh ZEROall_ok && !qh TESTvneighbors && !qh WAScoplanar) {
-      trace2((qh ferr, 2055, "qh_qhull: all facets are clearly convex and no coplanar points.  Post-merging and check of maxout not needed.\n"));
-      qh DOcheckmax= False;
-    }else {
-      if (qh MERGEexact || (qh hull_dim > qh_DIMreduceBuild && qh PREmerge))
-        qh_postmerge("First post-merge", qh premerge_centrum, qh premerge_cos,
-             (qh POSTmerge ? False : qh TESTvneighbors));
-      else if (!qh POSTmerge && qh TESTvneighbors)
-        qh_postmerge("For testing vertex neighbors", qh premerge_centrum,
-             qh premerge_cos, True);
-      if (qh POSTmerge)
-        qh_postmerge("For post-merging", qh postmerge_centrum,
-             qh postmerge_cos, qh TESTvneighbors);
-      if (qh visible_list == qh facet_list) { /* i.e., merging done */
-        qh findbestnew= True;
-        qh_partitionvisible(/*visible_list, newfacet_list*/ !qh_ALL, &numoutside);
-        qh findbestnew= False;
-        qh_deletevisible(/*qh visible_list*/);
-        qh_resetlists(False, qh_RESETvisible /*qh visible_list newvertex_list newfacet_list */);
-      }
-    }
-    if (qh DOcheckmax){
-      if (qh REPORTfreq) {
-        qh_buildtracing(NULL, NULL);
-        qh_fprintf(qh ferr, 8115, "\nTesting all coplanar points.\n");
-      }
-      qh_check_maxout();
-    }
-    if (qh KEEPnearinside && !qh maxoutdone)
-      qh_nearcoplanar();
-  }
-  if (qh_setsize(qhmem.tempstack) != 0) {
-    qh_fprintf(qh ferr, 6164, "qhull internal error (qh_qhull): temporary sets not empty(%d)\n",
-             qh_setsize(qhmem.tempstack));
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  qh hulltime= qh_CPUclock - qh hulltime;
-  qh QHULLfinished= True;
-  trace1((qh ferr, 1036, "Qhull: algorithm completed\n"));
-} /* qhull */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="addpoint">-</a>
-
-  qh_addpoint( furthest, facet, checkdist )
-    add point (usually furthest point) above facet to hull
-    if checkdist,
-      check that point is above facet.
-      if point is not outside of the hull, uses qh_partitioncoplanar()
-      assumes that facet is defined by qh_findbestfacet()
-    else if facet specified,
-      assumes that point is above facet (major damage if below)
-    for Delaunay triangulations,
-      Use qh_setdelaunay() to lift point to paraboloid and scale by 'Qbb' if needed
-      Do not use options 'Qbk', 'QBk', or 'QbB' since they scale the coordinates.
-
-  returns:
-    returns False if user requested an early termination
-     qh.visible_list, newfacet_list, delvertex_list, NEWfacets may be defined
-    updates qh.facet_list, qh.num_facets, qh.vertex_list, qh.num_vertices
-    clear qh.maxoutdone (will need to call qh_check_maxout() for facet->maxoutside)
-    if unknown point, adds a pointer to qh.other_points
-      do not deallocate the point's coordinates
-
-  notes:
-    assumes point is near its best facet and not at a local minimum of a lens
-      distributions.  Use qh_findbestfacet to avoid this case.
-    uses qh.visible_list, qh.newfacet_list, qh.delvertex_list, qh.NEWfacets
-
-  see also:
-    qh_triangulate() -- triangulate non-simplicial facets
-
-  design:
-    add point to other_points if needed
-    if checkdist
-      if point not above facet
-        partition coplanar point
-        exit
-    exit if pre STOPpoint requested
-    find horizon and visible facets for point
-    make new facets for point to horizon
-    make hyperplanes for point
-    compute balance statistics
-    match neighboring new facets
-    update vertex neighbors and delete interior vertices
-    exit if STOPcone requested
-    merge non-convex new facets
-    if merge found, many merges, or 'Qf'
-       use qh_findbestnew() instead of qh_findbest()
-    partition outside points from visible facets
-    delete visible facets
-    check polyhedron if requested
-    exit if post STOPpoint requested
-    reset working lists of facets and vertices
-*/
-boolT qh_addpoint(pointT *furthest, facetT *facet, boolT checkdist) {
-  int goodvisible, goodhorizon;
-  vertexT *vertex;
-  facetT *newfacet;
-  realT dist, newbalance, pbalance;
-  boolT isoutside= False;
-  int numpart, numpoints, numnew, firstnew;
-
-  qh maxoutdone= False;
-  if (qh_pointid(furthest) == -1)
-    qh_setappend(&qh other_points, furthest);
-  if (!facet) {
-    qh_fprintf(qh ferr, 6213, "qhull internal error (qh_addpoint): NULL facet.  Need to call qh_findbestfacet first\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (checkdist) {
-    facet= qh_findbest(furthest, facet, !qh_ALL, !qh_ISnewfacets, !qh_NOupper,
-                        &dist, &isoutside, &numpart);
-    zzadd_(Zpartition, numpart);
-    if (!isoutside) {
-      zinc_(Znotmax);  /* last point of outsideset is no longer furthest. */
-      facet->notfurthest= True;
-      qh_partitioncoplanar(furthest, facet, &dist);
-      return True;
-    }
-  }
-  qh_buildtracing(furthest, facet);
-  if (qh STOPpoint < 0 && qh furthest_id == -qh STOPpoint-1) {
-    facet->notfurthest= True;
-    return False;
-  }
-  qh_findhorizon(furthest, facet, &goodvisible, &goodhorizon);
-  if (qh ONLYgood && !(goodvisible+goodhorizon) && !qh GOODclosest) {
-    zinc_(Znotgood);
-    facet->notfurthest= True;
-    /* last point of outsideset is no longer furthest.  This is ok
-       since all points of the outside are likely to be bad */
-    qh_resetlists(False, qh_RESETvisible /*qh visible_list newvertex_list newfacet_list */);
-    return True;
-  }
-  zzinc_(Zprocessed);
-  firstnew= qh facet_id;
-  vertex= qh_makenewfacets(furthest /*visible_list, attaches if !ONLYgood */);
-  qh_makenewplanes(/* newfacet_list */);
-  numnew= qh facet_id - firstnew;
-  newbalance= numnew - (realT) (qh num_facets-qh num_visible)
-                         * qh hull_dim/qh num_vertices;
-  wadd_(Wnewbalance, newbalance);
-  wadd_(Wnewbalance2, newbalance * newbalance);
-  if (qh ONLYgood
-  && !qh_findgood(qh newfacet_list, goodhorizon) && !qh GOODclosest) {
-    FORALLnew_facets
-      qh_delfacet(newfacet);
-    qh_delvertex(vertex);
-    qh_resetlists(True, qh_RESETvisible /*qh visible_list newvertex_list newfacet_list */);
-    zinc_(Znotgoodnew);
-    facet->notfurthest= True;
-    return True;
-  }
-  if (qh ONLYgood)
-    qh_attachnewfacets(/*visible_list*/);
-  qh_matchnewfacets();
-  qh_updatevertices();
-  if (qh STOPcone && qh furthest_id == qh STOPcone-1) {
-    facet->notfurthest= True;
-    return False;  /* visible_list etc. still defined */
-  }
-  qh findbestnew= False;
-  if (qh PREmerge || qh MERGEexact) {
-    qh_premerge(vertex, qh premerge_centrum, qh premerge_cos);
-    if (qh_USEfindbestnew)
-      qh findbestnew= True;
-    else {
-      FORALLnew_facets {
-        if (!newfacet->simplicial) {
-          qh findbestnew= True;  /* use qh_findbestnew instead of qh_findbest*/
-          break;
-        }
-      }
-    }
-  }else if (qh BESToutside)
-    qh findbestnew= True;
-  qh_partitionvisible(/*visible_list, newfacet_list*/ !qh_ALL, &numpoints);
-  qh findbestnew= False;
-  qh findbest_notsharp= False;
-  zinc_(Zpbalance);
-  pbalance= numpoints - (realT) qh hull_dim /* assumes all points extreme */
-                * (qh num_points - qh num_vertices)/qh num_vertices;
-  wadd_(Wpbalance, pbalance);
-  wadd_(Wpbalance2, pbalance * pbalance);
-  qh_deletevisible(/*qh visible_list*/);
-  zmax_(Zmaxvertex, qh num_vertices);
-  qh NEWfacets= False;
-  if (qh IStracing >= 4) {
-    if (qh num_facets < 2000)
-      qh_printlists();
-    qh_printfacetlist(qh newfacet_list, NULL, True);
-    qh_checkpolygon(qh facet_list);
-  }else if (qh CHECKfrequently) {
-    if (qh num_facets < 50)
-      qh_checkpolygon(qh facet_list);
-    else
-      qh_checkpolygon(qh newfacet_list);
-  }
-  if (qh STOPpoint > 0 && qh furthest_id == qh STOPpoint-1)
-    return False;
-  qh_resetlists(True, qh_RESETvisible /*qh visible_list newvertex_list newfacet_list */);
-  /* qh_triangulate(); to test qh.TRInormals */
-  trace2((qh ferr, 2056, "qh_addpoint: added p%d new facets %d new balance %2.2g point balance %2.2g\n",
-    qh_pointid(furthest), numnew, newbalance, pbalance));
-  return True;
-} /* addpoint */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="build_withrestart">-</a>
-
-  qh_build_withrestart()
-    allow restarts due to qh.JOGGLEmax while calling qh_buildhull()
-    qh.FIRSTpoint/qh.NUMpoints is point array
-        it may be moved by qh_joggleinput()
-*/
-void qh_build_withrestart(void) {
-  int restart;
-
-  qh ALLOWrestart= True;
-  while (True) {
-    restart= setjmp(qh restartexit); /* simple statement for CRAY J916 */
-    if (restart) {       /* only from qh_precision() */
-      zzinc_(Zretry);
-      wmax_(Wretrymax, qh JOGGLEmax);
-      /* QH7078 warns about using 'TCn' with 'QJn' */
-      qh STOPcone= -1; /* if break from joggle, prevents normal output */
-    }
-    if (!qh RERUN && qh JOGGLEmax < REALmax/2) {
-      if (qh build_cnt > qh_JOGGLEmaxretry) {
-        qh_fprintf(qh ferr, 6229, "qhull precision error: %d attempts to construct a convex hull\n\
-        with joggled input.  Increase joggle above 'QJ%2.2g'\n\
-        or modify qh_JOGGLE... parameters in user.h\n",
-           qh build_cnt, qh JOGGLEmax);
-        qh_errexit(qh_ERRqhull, NULL, NULL);
-      }
-      if (qh build_cnt && !restart)
-        break;
-    }else if (qh build_cnt && qh build_cnt >= qh RERUN)
-      break;
-    qh STOPcone= 0;
-    qh_freebuild(True);  /* first call is a nop */
-    qh build_cnt++;
-    if (!qh qhull_optionsiz)
-      qh qhull_optionsiz= (int)strlen(qh qhull_options);   /* WARN64 */
-    else {
-      qh qhull_options [qh qhull_optionsiz]= '\0';
-      qh qhull_optionlen= qh_OPTIONline;  /* starts a new line */
-    }
-    qh_option("_run", &qh build_cnt, NULL);
-    if (qh build_cnt == qh RERUN) {
-      qh IStracing= qh TRACElastrun;  /* duplicated from qh_initqhull_globals */
-      if (qh TRACEpoint != -1 || qh TRACEdist < REALmax/2 || qh TRACEmerge) {
-        qh TRACElevel= (qh IStracing? qh IStracing : 3);
-        qh IStracing= 0;
-      }
-      qhmem.IStracing= qh IStracing;
-    }
-    if (qh JOGGLEmax < REALmax/2)
-      qh_joggleinput();
-    qh_initbuild();
-    qh_buildhull();
-    if (qh JOGGLEmax < REALmax/2 && !qh MERGING)
-      qh_checkconvex(qh facet_list, qh_ALGORITHMfault);
-  }
-  qh ALLOWrestart= False;
-} /* qh_build_withrestart */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="buildhull">-</a>
-
-  qh_buildhull()
-    construct a convex hull by adding outside points one at a time
-
-  returns:
-
-  notes:
-    may be called multiple times
-    checks facet and vertex lists for incorrect flags
-    to recover from STOPcone, call qh_deletevisible and qh_resetlists
-
-  design:
-    check visible facet and newfacet flags
-    check newlist vertex flags and qh.STOPcone/STOPpoint
-    for each facet with a furthest outside point
-      add point to facet
-      exit if qh.STOPcone or qh.STOPpoint requested
-    if qh.NARROWhull for initial simplex
-      partition remaining outside points to coplanar sets
-*/
-void qh_buildhull(void) {
-  facetT *facet;
-  pointT *furthest;
-  vertexT *vertex;
-  int id;
-
-  trace1((qh ferr, 1037, "qh_buildhull: start build hull\n"));
-  FORALLfacets {
-    if (facet->visible || facet->newfacet) {
-      qh_fprintf(qh ferr, 6165, "qhull internal error (qh_buildhull): visible or new facet f%d in facet list\n",
-                   facet->id);
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-  }
-  FORALLvertices {
-    if (vertex->newlist) {
-      qh_fprintf(qh ferr, 6166, "qhull internal error (qh_buildhull): new vertex f%d in vertex list\n",
-                   vertex->id);
-      qh_errprint("ERRONEOUS", NULL, NULL, NULL, vertex);
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-    id= qh_pointid(vertex->point);
-    if ((qh STOPpoint>0 && id == qh STOPpoint-1) ||
-        (qh STOPpoint<0 && id == -qh STOPpoint-1) ||
-        (qh STOPcone>0 && id == qh STOPcone-1)) {
-      trace1((qh ferr, 1038,"qh_buildhull: stop point or cone P%d in initial hull\n", id));
-      return;
-    }
-  }
-  qh facet_next= qh facet_list;      /* advance facet when processed */
-  while ((furthest= qh_nextfurthest(&facet))) {
-    qh num_outside--;  /* if ONLYmax, furthest may not be outside */
-    if (!qh_addpoint(furthest, facet, qh ONLYmax))
-      break;
-  }
-  if (qh NARROWhull) /* move points from outsideset to coplanarset */
-    qh_outcoplanar( /* facet_list */ );
-  if (qh num_outside && !furthest) {
-    qh_fprintf(qh ferr, 6167, "qhull internal error (qh_buildhull): %d outside points were never processed.\n", qh num_outside);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  trace1((qh ferr, 1039, "qh_buildhull: completed the hull construction\n"));
-} /* buildhull */
-
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="buildtracing">-</a>
-
-  qh_buildtracing( furthest, facet )
-    trace an iteration of qh_buildhull() for furthest point and facet
-    if !furthest, prints progress message
-
-  returns:
-    tracks progress with qh.lastreport
-    updates qh.furthest_id (-3 if furthest is NULL)
-    also resets visit_id, vertext_visit on wrap around
-
-  see:
-    qh_tracemerging()
-
-  design:
-    if !furthest
-      print progress message
-      exit
-    if 'TFn' iteration
-      print progress message
-    else if tracing
-      trace furthest point and facet
-    reset qh.visit_id and qh.vertex_visit if overflow may occur
-    set qh.furthest_id for tracing
-*/
-void qh_buildtracing(pointT *furthest, facetT *facet) {
-  realT dist= 0;
-  float cpu;
-  int total, furthestid;
-  time_t timedata;
-  struct tm *tp;
-  vertexT *vertex;
-
-  qh old_randomdist= qh RANDOMdist;
-  qh RANDOMdist= False;
-  if (!furthest) {
-    time(&timedata);
-    tp= localtime(&timedata);
-    cpu= (float)qh_CPUclock - (float)qh hulltime;
-    cpu /= (float)qh_SECticks;
-    total= zzval_(Ztotmerge) - zzval_(Zcyclehorizon) + zzval_(Zcyclefacettot);
-    qh_fprintf(qh ferr, 8118, "\n\
-At %02d:%02d:%02d & %2.5g CPU secs, qhull has created %d facets and merged %d.\n\
- The current hull contains %d facets and %d vertices.  Last point was p%d\n",
-      tp->tm_hour, tp->tm_min, tp->tm_sec, cpu, qh facet_id -1,
-      total, qh num_facets, qh num_vertices, qh furthest_id);
-    return;
-  }
-  furthestid= qh_pointid(furthest);
-  if (qh TRACEpoint == furthestid) {
-    qh IStracing= qh TRACElevel;
-    qhmem.IStracing= qh TRACElevel;
-  }else if (qh TRACEpoint != -1 && qh TRACEdist < REALmax/2) {
-    qh IStracing= 0;
-    qhmem.IStracing= 0;
-  }
-  if (qh REPORTfreq && (qh facet_id-1 > qh lastreport+qh REPORTfreq)) {
-    qh lastreport= qh facet_id-1;
-    time(&timedata);
-    tp= localtime(&timedata);
-    cpu= (float)qh_CPUclock - (float)qh hulltime;
-    cpu /= (float)qh_SECticks;
-    total= zzval_(Ztotmerge) - zzval_(Zcyclehorizon) + zzval_(Zcyclefacettot);
-    zinc_(Zdistio);
-    qh_distplane(furthest, facet, &dist);
-    qh_fprintf(qh ferr, 8119, "\n\
-At %02d:%02d:%02d & %2.5g CPU secs, qhull has created %d facets and merged %d.\n\
- The current hull contains %d facets and %d vertices.  There are %d\n\
- outside points.  Next is point p%d(v%d), %2.2g above f%d.\n",
-      tp->tm_hour, tp->tm_min, tp->tm_sec, cpu, qh facet_id -1,
-      total, qh num_facets, qh num_vertices, qh num_outside+1,
-      furthestid, qh vertex_id, dist, getid_(facet));
-  }else if (qh IStracing >=1) {
-    cpu= (float)qh_CPUclock - (float)qh hulltime;
-    cpu /= (float)qh_SECticks;
-    qh_distplane(furthest, facet, &dist);
-    qh_fprintf(qh ferr, 8120, "qh_addpoint: add p%d(v%d) to hull of %d facets(%2.2g above f%d) and %d outside at %4.4g CPU secs.  Previous was p%d.\n",
-      furthestid, qh vertex_id, qh num_facets, dist,
-      getid_(facet), qh num_outside+1, cpu, qh furthest_id);
-  }
-  zmax_(Zvisit2max, (int)qh visit_id/2);
-  if (qh visit_id > (unsigned) INT_MAX) {
-    zinc_(Zvisit);
-    qh visit_id= 0;
-    FORALLfacets
-      facet->visitid= 0;
-  }
-  zmax_(Zvvisit2max, (int)qh vertex_visit/2);
-  if (qh vertex_visit > (unsigned) INT_MAX/2) { /* 31 bits */
-    zinc_(Zvvisit);
-    qh vertex_visit= 0;
-    FORALLvertices
-      vertex->visitid= 0;
-  }
-  qh furthest_id= furthestid;
-  qh RANDOMdist= qh old_randomdist;
-} /* buildtracing */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="errexit2">-</a>
-
-  qh_errexit2( exitcode, facet, otherfacet )
-    return exitcode to system after an error
-    report two facets
-
-  returns:
-    assumes exitcode non-zero
-
-  see:
-    normally use qh_errexit() in user.c(reports a facet and a ridge)
-*/
-void qh_errexit2(int exitcode, facetT *facet, facetT *otherfacet) {
-
-  qh_errprint("ERRONEOUS", facet, otherfacet, NULL, NULL);
-  qh_errexit(exitcode, NULL, NULL);
-} /* errexit2 */
-
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="findhorizon">-</a>
-
-  qh_findhorizon( point, facet, goodvisible, goodhorizon )
-    given a visible facet, find the point's horizon and visible facets
-    for all facets, !facet-visible
-
-  returns:
-    returns qh.visible_list/num_visible with all visible facets
-      marks visible facets with ->visible
-    updates count of good visible and good horizon facets
-    updates qh.max_outside, qh.max_vertex, facet->maxoutside
-
-  see:
-    similar to qh_delpoint()
-
-  design:
-    move facet to qh.visible_list at end of qh.facet_list
-    for all visible facets
-     for each unvisited neighbor of a visible facet
-       compute distance of point to neighbor
-       if point above neighbor
-         move neighbor to end of qh.visible_list
-       else if point is coplanar with neighbor
-         update qh.max_outside, qh.max_vertex, neighbor->maxoutside
-         mark neighbor coplanar (will create a samecycle later)
-         update horizon statistics
-*/
-void qh_findhorizon(pointT *point, facetT *facet, int *goodvisible, int *goodhorizon) {
-  facetT *neighbor, **neighborp, *visible;
-  int numhorizon= 0, coplanar= 0;
-  realT dist;
-
-  trace1((qh ferr, 1040,"qh_findhorizon: find horizon for point p%d facet f%d\n",qh_pointid(point),facet->id));
-  *goodvisible= *goodhorizon= 0;
-  zinc_(Ztotvisible);
-  qh_removefacet(facet);  /* visible_list at end of qh facet_list */
-  qh_appendfacet(facet);
-  qh num_visible= 1;
-  if (facet->good)
-    (*goodvisible)++;
-  qh visible_list= facet;
-  facet->visible= True;
-  facet->f.replace= NULL;
-  if (qh IStracing >=4)
-    qh_errprint("visible", facet, NULL, NULL, NULL);
-  qh visit_id++;
-  FORALLvisible_facets {
-    if (visible->tricoplanar && !qh TRInormals) {
-      qh_fprintf(qh ferr, 6230, "Qhull internal error (qh_findhorizon): does not work for tricoplanar facets.  Use option 'Q11'\n");
-      qh_errexit(qh_ERRqhull, visible, NULL);
-    }
-    visible->visitid= qh visit_id;
-    FOREACHneighbor_(visible) {
-      if (neighbor->visitid == qh visit_id)
-        continue;
-      neighbor->visitid= qh visit_id;
-      zzinc_(Znumvisibility);
-      qh_distplane(point, neighbor, &dist);
-      if (dist > qh MINvisible) {
-        zinc_(Ztotvisible);
-        qh_removefacet(neighbor);  /* append to end of qh visible_list */
-        qh_appendfacet(neighbor);
-        neighbor->visible= True;
-        neighbor->f.replace= NULL;
-        qh num_visible++;
-        if (neighbor->good)
-          (*goodvisible)++;
-        if (qh IStracing >=4)
-          qh_errprint("visible", neighbor, NULL, NULL, NULL);
-      }else {
-        if (dist > - qh MAXcoplanar) {
-          neighbor->coplanar= True;
-          zzinc_(Zcoplanarhorizon);
-          qh_precision("coplanar horizon");
-          coplanar++;
-          if (qh MERGING) {
-            if (dist > 0) {
-              maximize_(qh max_outside, dist);
-              maximize_(qh max_vertex, dist);
-#if qh_MAXoutside
-              maximize_(neighbor->maxoutside, dist);
-#endif
-            }else
-              minimize_(qh min_vertex, dist);  /* due to merge later */
-          }
-          trace2((qh ferr, 2057, "qh_findhorizon: point p%d is coplanar to horizon f%d, dist=%2.7g < qh MINvisible(%2.7g)\n",
-              qh_pointid(point), neighbor->id, dist, qh MINvisible));
-        }else
-          neighbor->coplanar= False;
-        zinc_(Ztothorizon);
-        numhorizon++;
-        if (neighbor->good)
-          (*goodhorizon)++;
-        if (qh IStracing >=4)
-          qh_errprint("horizon", neighbor, NULL, NULL, NULL);
-      }
-    }
-  }
-  if (!numhorizon) {
-    qh_precision("empty horizon");
-    qh_fprintf(qh ferr, 6168, "qhull precision error (qh_findhorizon): empty horizon\n\
-QhullPoint p%d was above all facets.\n", qh_pointid(point));
-    qh_printfacetlist(qh facet_list, NULL, True);
-    qh_errexit(qh_ERRprec, NULL, NULL);
-  }
-  trace1((qh ferr, 1041, "qh_findhorizon: %d horizon facets(good %d), %d visible(good %d), %d coplanar\n",
-       numhorizon, *goodhorizon, qh num_visible, *goodvisible, coplanar));
-  if (qh IStracing >= 4 && qh num_facets < 50)
-    qh_printlists();
-} /* findhorizon */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="nextfurthest">-</a>
-
-  qh_nextfurthest( visible )
-    returns next furthest point and visible facet for qh_addpoint()
-    starts search at qh.facet_next
-
-  returns:
-    removes furthest point from outside set
-    NULL if none available
-    advances qh.facet_next over facets with empty outside sets
-
-  design:
-    for each facet from qh.facet_next
-      if empty outside set
-        advance qh.facet_next
-      else if qh.NARROWhull
-        determine furthest outside point
-        if furthest point is not outside
-          advance qh.facet_next(point will be coplanar)
-    remove furthest point from outside set
-*/
-pointT *qh_nextfurthest(facetT **visible) {
-  facetT *facet;
-  int size, idx;
-  realT randr, dist;
-  pointT *furthest;
-
-  while ((facet= qh facet_next) != qh facet_tail) {
-    if (!facet->outsideset) {
-      qh facet_next= facet->next;
-      continue;
-    }
-    SETreturnsize_(facet->outsideset, size);
-    if (!size) {
-      qh_setfree(&facet->outsideset);
-      qh facet_next= facet->next;
-      continue;
-    }
-    if (qh NARROWhull) {
-      if (facet->notfurthest)
-        qh_furthestout(facet);
-      furthest= (pointT*)qh_setlast(facet->outsideset);
-#if qh_COMPUTEfurthest
-      qh_distplane(furthest, facet, &dist);
-      zinc_(Zcomputefurthest);
-#else
-      dist= facet->furthestdist;
-#endif
-      if (dist < qh MINoutside) { /* remainder of outside set is coplanar for qh_outcoplanar */
-        qh facet_next= facet->next;
-        continue;
-      }
-    }
-    if (!qh RANDOMoutside && !qh VIRTUALmemory) {
-      if (qh PICKfurthest) {
-        qh_furthestnext(/* qh facet_list */);
-        facet= qh facet_next;
-      }
-      *visible= facet;
-      return((pointT*)qh_setdellast(facet->outsideset));
-    }
-    if (qh RANDOMoutside) {
-      int outcoplanar = 0;
-      if (qh NARROWhull) {
-        FORALLfacets {
-          if (facet == qh facet_next)
-            break;
-          if (facet->outsideset)
-            outcoplanar += qh_setsize( facet->outsideset);
-        }
-      }
-      randr= qh_RANDOMint;
-      randr= randr/(qh_RANDOMmax+1);
-      idx= (int)floor((qh num_outside - outcoplanar) * randr);
-      FORALLfacet_(qh facet_next) {
-        if (facet->outsideset) {
-          SETreturnsize_(facet->outsideset, size);
-          if (!size)
-            qh_setfree(&facet->outsideset);
-          else if (size > idx) {
-            *visible= facet;
-            return((pointT*)qh_setdelnth(facet->outsideset, idx));
-          }else
-            idx -= size;
-        }
-      }
-      qh_fprintf(qh ferr, 6169, "qhull internal error (qh_nextfurthest): num_outside %d is too low\nby at least %d, or a random real %g >= 1.0\n",
-              qh num_outside, idx+1, randr);
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }else { /* VIRTUALmemory */
-      facet= qh facet_tail->previous;
-      if (!(furthest= (pointT*)qh_setdellast(facet->outsideset))) {
-        if (facet->outsideset)
-          qh_setfree(&facet->outsideset);
-        qh_removefacet(facet);
-        qh_prependfacet(facet, &qh facet_list);
-        continue;
-      }
-      *visible= facet;
-      return furthest;
-    }
-  }
-  return NULL;
-} /* nextfurthest */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="partitionall">-</a>
-
-  qh_partitionall( vertices, points, numpoints )
-    partitions all points in points/numpoints to the outsidesets of facets
-    vertices= vertices in qh.facet_list(!partitioned)
-
-  returns:
-    builds facet->outsideset
-    does not partition qh.GOODpoint
-    if qh.ONLYgood && !qh.MERGING,
-      does not partition qh.GOODvertex
-
-  notes:
-    faster if qh.facet_list sorted by anticipated size of outside set
-
-  design:
-    initialize pointset with all points
-    remove vertices from pointset
-    remove qh.GOODpointp from pointset (unless it's qh.STOPcone or qh.STOPpoint)
-    for all facets
-      for all remaining points in pointset
-        compute distance from point to facet
-        if point is outside facet
-          remove point from pointset (by not reappending)
-          update bestpoint
-          append point or old bestpoint to facet's outside set
-      append bestpoint to facet's outside set (furthest)
-    for all points remaining in pointset
-      partition point into facets' outside sets and coplanar sets
-*/
-void qh_partitionall(setT *vertices, pointT *points, int numpoints){
-  setT *pointset;
-  vertexT *vertex, **vertexp;
-  pointT *point, **pointp, *bestpoint;
-  int size, point_i, point_n, point_end, remaining, i, id;
-  facetT *facet;
-  realT bestdist= -REALmax, dist, distoutside;
-
-  trace1((qh ferr, 1042, "qh_partitionall: partition all points into outside sets\n"));
-  pointset= qh_settemp(numpoints);
-  qh num_outside= 0;
-  pointp= SETaddr_(pointset, pointT);
-  for (i=numpoints, point= points; i--; point += qh hull_dim)
-    *(pointp++)= point;
-  qh_settruncate(pointset, numpoints);
-  FOREACHvertex_(vertices) {
-    if ((id= qh_pointid(vertex->point)) >= 0)
-      SETelem_(pointset, id)= NULL;
-  }
-  id= qh_pointid(qh GOODpointp);
-  if (id >=0 && qh STOPcone-1 != id && -qh STOPpoint-1 != id)
-    SETelem_(pointset, id)= NULL;
-  if (qh GOODvertexp && qh ONLYgood && !qh MERGING) { /* matches qhull()*/
-    if ((id= qh_pointid(qh GOODvertexp)) >= 0)
-      SETelem_(pointset, id)= NULL;
-  }
-  if (!qh BESToutside) {  /* matches conditional for qh_partitionpoint below */
-    distoutside= qh_DISToutside; /* multiple of qh.MINoutside & qh.max_outside, see user.h */
-    zval_(Ztotpartition)= qh num_points - qh hull_dim - 1; /*misses GOOD... */
-    remaining= qh num_facets;
-    point_end= numpoints;
-    FORALLfacets {
-      size= point_end/(remaining--) + 100;
-      facet->outsideset= qh_setnew(size);
-      bestpoint= NULL;
-      point_end= 0;
-      FOREACHpoint_i_(pointset) {
-        if (point) {
-          zzinc_(Zpartitionall);
-          qh_distplane(point, facet, &dist);
-          if (dist < distoutside)
-            SETelem_(pointset, point_end++)= point;
-          else {
-            qh num_outside++;
-            if (!bestpoint) {
-              bestpoint= point;
-              bestdist= dist;
-            }else if (dist > bestdist) {
-              qh_setappend(&facet->outsideset, bestpoint);
-              bestpoint= point;
-              bestdist= dist;
-            }else
-              qh_setappend(&facet->outsideset, point);
-          }
-        }
-      }
-      if (bestpoint) {
-        qh_setappend(&facet->outsideset, bestpoint);
-#if !qh_COMPUTEfurthest
-        facet->furthestdist= bestdist;
-#endif
-      }else
-        qh_setfree(&facet->outsideset);
-      qh_settruncate(pointset, point_end);
-    }
-  }
-  /* if !qh BESToutside, pointset contains points not assigned to outsideset */
-  if (qh BESToutside || qh MERGING || qh KEEPcoplanar || qh KEEPinside) {
-    qh findbestnew= True;
-    FOREACHpoint_i_(pointset) {
-      if (point)
-        qh_partitionpoint(point, qh facet_list);
-    }
-    qh findbestnew= False;
-  }
-  zzadd_(Zpartitionall, zzval_(Zpartition));
-  zzval_(Zpartition)= 0;
-  qh_settempfree(&pointset);
-  if (qh IStracing >= 4)
-    qh_printfacetlist(qh facet_list, NULL, True);
-} /* partitionall */
-
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="partitioncoplanar">-</a>
-
-  qh_partitioncoplanar( point, facet, dist )
-    partition coplanar point to a facet
-    dist is distance from point to facet
-    if dist NULL,
-      searches for bestfacet and does nothing if inside
-    if qh.findbestnew set,
-      searches new facets instead of using qh_findbest()
-
-  returns:
-    qh.max_ouside updated
-    if qh.KEEPcoplanar or qh.KEEPinside
-      point assigned to best coplanarset
-
-  notes:
-    facet->maxoutside is updated at end by qh_check_maxout
-
-  design:
-    if dist undefined
-      find best facet for point
-      if point sufficiently below facet (depends on qh.NEARinside and qh.KEEPinside)
-        exit
-    if keeping coplanar/nearinside/inside points
-      if point is above furthest coplanar point
-        append point to coplanar set (it is the new furthest)
-        update qh.max_outside
-      else
-        append point one before end of coplanar set
-    else if point is clearly outside of qh.max_outside and bestfacet->coplanarset
-    and bestfacet is more than perpendicular to facet
-      repartition the point using qh_findbest() -- it may be put on an outsideset
-    else
-      update qh.max_outside
-*/
-void qh_partitioncoplanar(pointT *point, facetT *facet, realT *dist) {
-  facetT *bestfacet;
-  pointT *oldfurthest;
-  realT bestdist, dist2= 0, angle;
-  int numpart= 0, oldfindbest;
-  boolT isoutside;
-
-  qh WAScoplanar= True;
-  if (!dist) {
-    if (qh findbestnew)
-      bestfacet= qh_findbestnew(point, facet, &bestdist, qh_ALL, &isoutside, &numpart);
-    else
-      bestfacet= qh_findbest(point, facet, qh_ALL, !qh_ISnewfacets, qh DELAUNAY,
-                          &bestdist, &isoutside, &numpart);
-    zinc_(Ztotpartcoplanar);
-    zzadd_(Zpartcoplanar, numpart);
-    if (!qh DELAUNAY && !qh KEEPinside) { /*  for 'd', bestdist skips upperDelaunay facets */
-      if (qh KEEPnearinside) {
-        if (bestdist < -qh NEARinside) {
-          zinc_(Zcoplanarinside);
-          trace4((qh ferr, 4062, "qh_partitioncoplanar: point p%d is more than near-inside facet f%d dist %2.2g findbestnew %d\n",
-                  qh_pointid(point), bestfacet->id, bestdist, qh findbestnew));
-          return;
-        }
-      }else if (bestdist < -qh MAXcoplanar) {
-          trace4((qh ferr, 4063, "qh_partitioncoplanar: point p%d is inside facet f%d dist %2.2g findbestnew %d\n",
-                  qh_pointid(point), bestfacet->id, bestdist, qh findbestnew));
-        zinc_(Zcoplanarinside);
-        return;
-      }
-    }
-  }else {
-    bestfacet= facet;
-    bestdist= *dist;
-  }
-  if (bestdist > qh max_outside) {
-    if (!dist && facet != bestfacet) {
-      zinc_(Zpartangle);
-      angle= qh_getangle(facet->normal, bestfacet->normal);
-      if (angle < 0) {
-        /* typically due to deleted vertex and coplanar facets, e.g.,
-             RBOX 1000 s Z1 G1e-13 t1001185205 | QHULL Tv */
-        zinc_(Zpartflip);
-        trace2((qh ferr, 2058, "qh_partitioncoplanar: repartition point p%d from f%d.  It is above flipped facet f%d dist %2.2g\n",
-                qh_pointid(point), facet->id, bestfacet->id, bestdist));
-        oldfindbest= qh findbestnew;
-        qh findbestnew= False;
-        qh_partitionpoint(point, bestfacet);
-        qh findbestnew= oldfindbest;
-        return;
-      }
-    }
-    qh max_outside= bestdist;
-    if (bestdist > qh TRACEdist) {
-      qh_fprintf(qh ferr, 8122, "qh_partitioncoplanar: ====== p%d from f%d increases max_outside to %2.2g of f%d last p%d\n",
-                     qh_pointid(point), facet->id, bestdist, bestfacet->id, qh furthest_id);
-      qh_errprint("DISTANT", facet, bestfacet, NULL, NULL);
-    }
-  }
-  if (qh KEEPcoplanar + qh KEEPinside + qh KEEPnearinside) {
-    oldfurthest= (pointT*)qh_setlast(bestfacet->coplanarset);
-    if (oldfurthest) {
-      zinc_(Zcomputefurthest);
-      qh_distplane(oldfurthest, bestfacet, &dist2);
-    }
-    if (!oldfurthest || dist2 < bestdist)
-      qh_setappend(&bestfacet->coplanarset, point);
-    else
-      qh_setappend2ndlast(&bestfacet->coplanarset, point);
-  }
-  trace4((qh ferr, 4064, "qh_partitioncoplanar: point p%d is coplanar with facet f%d(or inside) dist %2.2g\n",
-          qh_pointid(point), bestfacet->id, bestdist));
-} /* partitioncoplanar */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="partitionpoint">-</a>
-
-  qh_partitionpoint( point, facet )
-    assigns point to an outside set, coplanar set, or inside set (i.e., dropt)
-    if qh.findbestnew
-      uses qh_findbestnew() to search all new facets
-    else
-      uses qh_findbest()
-
-  notes:
-    after qh_distplane(), this and qh_findbest() are most expensive in 3-d
-
-  design:
-    find best facet for point
-      (either exhaustive search of new facets or directed search from facet)
-    if qh.NARROWhull
-      retain coplanar and nearinside points as outside points
-    if point is outside bestfacet
-      if point above furthest point for bestfacet
-        append point to outside set (it becomes the new furthest)
-        if outside set was empty
-          move bestfacet to end of qh.facet_list (i.e., after qh.facet_next)
-        update bestfacet->furthestdist
-      else
-        append point one before end of outside set
-    else if point is coplanar to bestfacet
-      if keeping coplanar points or need to update qh.max_outside
-        partition coplanar point into bestfacet
-    else if near-inside point
-      partition as coplanar point into bestfacet
-    else is an inside point
-      if keeping inside points
-        partition as coplanar point into bestfacet
-*/
-void qh_partitionpoint(pointT *point, facetT *facet) {
-  realT bestdist;
-  boolT isoutside;
-  facetT *bestfacet;
-  int numpart;
-#if qh_COMPUTEfurthest
-  realT dist;
-#endif
-
-  if (qh findbestnew)
-    bestfacet= qh_findbestnew(point, facet, &bestdist, qh BESToutside, &isoutside, &numpart);
-  else
-    bestfacet= qh_findbest(point, facet, qh BESToutside, qh_ISnewfacets, !qh_NOupper,
-                          &bestdist, &isoutside, &numpart);
-  zinc_(Ztotpartition);
-  zzadd_(Zpartition, numpart);
-  if (qh NARROWhull) {
-    if (qh DELAUNAY && !isoutside && bestdist >= -qh MAXcoplanar)
-      qh_precision("nearly incident point(narrow hull)");
-    if (qh KEEPnearinside) {
-      if (bestdist >= -qh NEARinside)
-        isoutside= True;
-    }else if (bestdist >= -qh MAXcoplanar)
-      isoutside= True;
-  }
-
-  if (isoutside) {
-    if (!bestfacet->outsideset
-    || !qh_setlast(bestfacet->outsideset)) {
-      qh_setappend(&(bestfacet->outsideset), point);
-      if (!bestfacet->newfacet) {
-        qh_removefacet(bestfacet);  /* make sure it's after qh facet_next */
-        qh_appendfacet(bestfacet);
-      }
-#if !qh_COMPUTEfurthest
-      bestfacet->furthestdist= bestdist;
-#endif
-    }else {
-#if qh_COMPUTEfurthest
-      zinc_(Zcomputefurthest);
-      qh_distplane(oldfurthest, bestfacet, &dist);
-      if (dist < bestdist)
-        qh_setappend(&(bestfacet->outsideset), point);
-      else
-        qh_setappend2ndlast(&(bestfacet->outsideset), point);
-#else
-      if (bestfacet->furthestdist < bestdist) {
-        qh_setappend(&(bestfacet->outsideset), point);
-        bestfacet->furthestdist= bestdist;
-      }else
-        qh_setappend2ndlast(&(bestfacet->outsideset), point);
-#endif
-    }
-    qh num_outside++;
-    trace4((qh ferr, 4065, "qh_partitionpoint: point p%d is outside facet f%d new? %d (or narrowhull)\n",
-          qh_pointid(point), bestfacet->id, bestfacet->newfacet));
-  }else if (qh DELAUNAY || bestdist >= -qh MAXcoplanar) { /* for 'd', bestdist skips upperDelaunay facets */
-    zzinc_(Zcoplanarpart);
-    if (qh DELAUNAY)
-      qh_precision("nearly incident point");
-    if ((qh KEEPcoplanar + qh KEEPnearinside) || bestdist > qh max_outside)
-      qh_partitioncoplanar(point, bestfacet, &bestdist);
-    else {
-      trace4((qh ferr, 4066, "qh_partitionpoint: point p%d is coplanar to facet f%d (dropped)\n",
-          qh_pointid(point), bestfacet->id));
-    }
-  }else if (qh KEEPnearinside && bestdist > -qh NEARinside) {
-    zinc_(Zpartnear);
-    qh_partitioncoplanar(point, bestfacet, &bestdist);
-  }else {
-    zinc_(Zpartinside);
-    trace4((qh ferr, 4067, "qh_partitionpoint: point p%d is inside all facets, closest to f%d dist %2.2g\n",
-          qh_pointid(point), bestfacet->id, bestdist));
-    if (qh KEEPinside)
-      qh_partitioncoplanar(point, bestfacet, &bestdist);
-  }
-} /* partitionpoint */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="partitionvisible">-</a>
-
-  qh_partitionvisible( allpoints, numoutside )
-    partitions points in visible facets to qh.newfacet_list
-    qh.visible_list= visible facets
-    for visible facets
-      1st neighbor (if any) points to a horizon facet or a new facet
-    if allpoints(!used),
-      repartitions coplanar points
-
-  returns:
-    updates outside sets and coplanar sets of qh.newfacet_list
-    updates qh.num_outside (count of outside points)
-
-  notes:
-    qh.findbest_notsharp should be clear (extra work if set)
-
-  design:
-    for all visible facets with outside set or coplanar set
-      select a newfacet for visible facet
-      if outside set
-        partition outside set into new facets
-      if coplanar set and keeping coplanar/near-inside/inside points
-        if allpoints
-          partition coplanar set into new facets, may be assigned outside
-        else
-          partition coplanar set into coplanar sets of new facets
-    for each deleted vertex
-      if allpoints
-        partition vertex into new facets, may be assigned outside
-      else
-        partition vertex into coplanar sets of new facets
-*/
-void qh_partitionvisible(/*visible_list*/ boolT allpoints, int *numoutside) {
-  facetT *visible, *newfacet;
-  pointT *point, **pointp;
-  int coplanar=0, size;
-  unsigned count;
-  vertexT *vertex, **vertexp;
-
-  if (qh ONLYmax)
-    maximize_(qh MINoutside, qh max_vertex);
-  *numoutside= 0;
-  FORALLvisible_facets {
-    if (!visible->outsideset && !visible->coplanarset)
-      continue;
-    newfacet= visible->f.replace;
-    count= 0;
-    while (newfacet && newfacet->visible) {
-      newfacet= newfacet->f.replace;
-      if (count++ > qh facet_id)
-        qh_infiniteloop(visible);
-    }
-    if (!newfacet)
-      newfacet= qh newfacet_list;
-    if (newfacet == qh facet_tail) {
-      qh_fprintf(qh ferr, 6170, "qhull precision error (qh_partitionvisible): all new facets deleted as\n        degenerate facets. Can not continue.\n");
-      qh_errexit(qh_ERRprec, NULL, NULL);
-    }
-    if (visible->outsideset) {
-      size= qh_setsize(visible->outsideset);
-      *numoutside += size;
-      qh num_outside -= size;
-      FOREACHpoint_(visible->outsideset)
-        qh_partitionpoint(point, newfacet);
-    }
-    if (visible->coplanarset && (qh KEEPcoplanar + qh KEEPinside + qh KEEPnearinside)) {
-      size= qh_setsize(visible->coplanarset);
-      coplanar += size;
-      FOREACHpoint_(visible->coplanarset) {
-        if (allpoints) /* not used */
-          qh_partitionpoint(point, newfacet);
-        else
-          qh_partitioncoplanar(point, newfacet, NULL);
-      }
-    }
-  }
-  FOREACHvertex_(qh del_vertices) {
-    if (vertex->point) {
-      if (allpoints) /* not used */
-        qh_partitionpoint(vertex->point, qh newfacet_list);
-      else
-        qh_partitioncoplanar(vertex->point, qh newfacet_list, NULL);
-    }
-  }
-  trace1((qh ferr, 1043,"qh_partitionvisible: partitioned %d points from outsidesets and %d points from coplanarsets\n", *numoutside, coplanar));
-} /* partitionvisible */
-
-
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="precision">-</a>
-
-  qh_precision( reason )
-    restart on precision errors if not merging and if 'QJn'
-*/
-void qh_precision(const char *reason) {
-
-  if (qh ALLOWrestart && !qh PREmerge && !qh MERGEexact) {
-    if (qh JOGGLEmax < REALmax/2) {
-      trace0((qh ferr, 26, "qh_precision: qhull restart because of %s\n", reason));
-      longjmp(qh restartexit, qh_ERRprec);
-    }
-  }
-} /* qh_precision */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="printsummary">-</a>
-
-  qh_printsummary( fp )
-    prints summary to fp
-
-  notes:
-    not in io.c so that user_eg.c can prevent io.c from loading
-    qh_printsummary and qh_countfacets must match counts
-
-  design:
-    determine number of points, vertices, and coplanar points
-    print summary
-*/
-void qh_printsummary(FILE *fp) {
-  realT ratio, outerplane, innerplane;
-  float cpu;
-  int size, id, nummerged, numvertices, numcoplanars= 0, nonsimplicial=0;
-  int goodused;
-  facetT *facet;
-  const char *s;
-  int numdel= zzval_(Zdelvertextot);
-  int numtricoplanars= 0;
-
-  size= qh num_points + qh_setsize(qh other_points);
-  numvertices= qh num_vertices - qh_setsize(qh del_vertices);
-  id= qh_pointid(qh GOODpointp);
-  FORALLfacets {
-    if (facet->coplanarset)
-      numcoplanars += qh_setsize( facet->coplanarset);
-    if (facet->good) {
-      if (facet->simplicial) {
-        if (facet->keepcentrum && facet->tricoplanar)
-          numtricoplanars++;
-      }else if (qh_setsize(facet->vertices) != qh hull_dim)
-        nonsimplicial++;
-    }
-  }
-  if (id >=0 && qh STOPcone-1 != id && -qh STOPpoint-1 != id)
-    size--;
-  if (qh STOPcone || qh STOPpoint)
-      qh_fprintf(fp, 9288, "\nAt a premature exit due to 'TVn', 'TCn', 'TRn', or precision error with 'QJn'.");
-  if (qh UPPERdelaunay)
-    goodused= qh GOODvertex + qh GOODpoint + qh SPLITthresholds;
-  else if (qh DELAUNAY)
-    goodused= qh GOODvertex + qh GOODpoint + qh GOODthreshold;
-  else
-    goodused= qh num_good;
-  nummerged= zzval_(Ztotmerge) - zzval_(Zcyclehorizon) + zzval_(Zcyclefacettot);
-  if (qh VORONOI) {
-    if (qh UPPERdelaunay)
-      qh_fprintf(fp, 9289, "\n\
-Furthest-site Voronoi vertices by the convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    else
-      qh_fprintf(fp, 9290, "\n\
-Voronoi diagram by the convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    qh_fprintf(fp, 9291, "  Number of Voronoi regions%s: %d\n",
-              qh ATinfinity ? " and at-infinity" : "", numvertices);
-    if (numdel)
-      qh_fprintf(fp, 9292, "  Total number of deleted points due to merging: %d\n", numdel);
-    if (numcoplanars - numdel > 0)
-      qh_fprintf(fp, 9293, "  Number of nearly incident points: %d\n", numcoplanars - numdel);
-    else if (size - numvertices - numdel > 0)
-      qh_fprintf(fp, 9294, "  Total number of nearly incident points: %d\n", size - numvertices - numdel);
-    qh_fprintf(fp, 9295, "  Number of%s Voronoi vertices: %d\n",
-              goodused ? " 'good'" : "", qh num_good);
-    if (nonsimplicial)
-      qh_fprintf(fp, 9296, "  Number of%s non-simplicial Voronoi vertices: %d\n",
-              goodused ? " 'good'" : "", nonsimplicial);
-  }else if (qh DELAUNAY) {
-    if (qh UPPERdelaunay)
-      qh_fprintf(fp, 9297, "\n\
-Furthest-site Delaunay triangulation by the convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    else
-      qh_fprintf(fp, 9298, "\n\
-Delaunay triangulation by the convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    qh_fprintf(fp, 9299, "  Number of input sites%s: %d\n",
-              qh ATinfinity ? " and at-infinity" : "", numvertices);
-    if (numdel)
-      qh_fprintf(fp, 9300, "  Total number of deleted points due to merging: %d\n", numdel);
-    if (numcoplanars - numdel > 0)
-      qh_fprintf(fp, 9301, "  Number of nearly incident points: %d\n", numcoplanars - numdel);
-    else if (size - numvertices - numdel > 0)
-      qh_fprintf(fp, 9302, "  Total number of nearly incident points: %d\n", size - numvertices - numdel);
-    qh_fprintf(fp, 9303, "  Number of%s Delaunay regions: %d\n",
-              goodused ? " 'good'" : "", qh num_good);
-    if (nonsimplicial)
-      qh_fprintf(fp, 9304, "  Number of%s non-simplicial Delaunay regions: %d\n",
-              goodused ? " 'good'" : "", nonsimplicial);
-  }else if (qh HALFspace) {
-    qh_fprintf(fp, 9305, "\n\
-Halfspace intersection by the convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    qh_fprintf(fp, 9306, "  Number of halfspaces: %d\n", size);
-    qh_fprintf(fp, 9307, "  Number of non-redundant halfspaces: %d\n", numvertices);
-    if (numcoplanars) {
-      if (qh KEEPinside && qh KEEPcoplanar)
-        s= "similar and redundant";
-      else if (qh KEEPinside)
-        s= "redundant";
-      else
-        s= "similar";
-      qh_fprintf(fp, 9308, "  Number of %s halfspaces: %d\n", s, numcoplanars);
-    }
-    qh_fprintf(fp, 9309, "  Number of intersection points: %d\n", qh num_facets - qh num_visible);
-    if (goodused)
-      qh_fprintf(fp, 9310, "  Number of 'good' intersection points: %d\n", qh num_good);
-    if (nonsimplicial)
-      qh_fprintf(fp, 9311, "  Number of%s non-simplicial intersection points: %d\n",
-              goodused ? " 'good'" : "", nonsimplicial);
-  }else {
-    qh_fprintf(fp, 9312, "\n\
-Convex hull of %d points in %d-d:\n\n", size, qh hull_dim);
-    qh_fprintf(fp, 9313, "  Number of vertices: %d\n", numvertices);
-    if (numcoplanars) {
-      if (qh KEEPinside && qh KEEPcoplanar)
-        s= "coplanar and interior";
-      else if (qh KEEPinside)
-        s= "interior";
-      else
-        s= "coplanar";
-      qh_fprintf(fp, 9314, "  Number of %s points: %d\n", s, numcoplanars);
-    }
-    qh_fprintf(fp, 9315, "  Number of facets: %d\n", qh num_facets - qh num_visible);
-    if (goodused)
-      qh_fprintf(fp, 9316, "  Number of 'good' facets: %d\n", qh num_good);
-    if (nonsimplicial)
-      qh_fprintf(fp, 9317, "  Number of%s non-simplicial facets: %d\n",
-              goodused ? " 'good'" : "", nonsimplicial);
-  }
-  if (numtricoplanars)
-      qh_fprintf(fp, 9318, "  Number of triangulated facets: %d\n", numtricoplanars);
-  qh_fprintf(fp, 9319, "\nStatistics for: %s | %s",
-                      qh rbox_command, qh qhull_command);
-  if (qh ROTATErandom != INT_MIN)
-    qh_fprintf(fp, 9320, " QR%d\n\n", qh ROTATErandom);
-  else
-    qh_fprintf(fp, 9321, "\n\n");
-  qh_fprintf(fp, 9322, "  Number of points processed: %d\n", zzval_(Zprocessed));
-  qh_fprintf(fp, 9323, "  Number of hyperplanes created: %d\n", zzval_(Zsetplane));
-  if (qh DELAUNAY)
-    qh_fprintf(fp, 9324, "  Number of facets in hull: %d\n", qh num_facets - qh num_visible);
-  qh_fprintf(fp, 9325, "  Number of distance tests for qhull: %d\n", zzval_(Zpartition)+
-      zzval_(Zpartitionall)+zzval_(Znumvisibility)+zzval_(Zpartcoplanar));
-#if 0  /* NOTE: must print before printstatistics() */
-  {realT stddev, ave;
-  qh_fprintf(fp, 9326, "  average new facet balance: %2.2g\n",
-          wval_(Wnewbalance)/zval_(Zprocessed));
-  stddev= qh_stddev(zval_(Zprocessed), wval_(Wnewbalance),
-                                 wval_(Wnewbalance2), &ave);
-  qh_fprintf(fp, 9327, "  new facet standard deviation: %2.2g\n", stddev);
-  qh_fprintf(fp, 9328, "  average partition balance: %2.2g\n",
-          wval_(Wpbalance)/zval_(Zpbalance));
-  stddev= qh_stddev(zval_(Zpbalance), wval_(Wpbalance),
-                                 wval_(Wpbalance2), &ave);
-  qh_fprintf(fp, 9329, "  partition standard deviation: %2.2g\n", stddev);
-  }
-#endif
-  if (nummerged) {
-    qh_fprintf(fp, 9330,"  Number of distance tests for merging: %d\n",zzval_(Zbestdist)+
-          zzval_(Zcentrumtests)+zzval_(Zdistconvex)+zzval_(Zdistcheck)+
-          zzval_(Zdistzero));
-    qh_fprintf(fp, 9331,"  Number of distance tests for checking: %d\n",zzval_(Zcheckpart));
-    qh_fprintf(fp, 9332,"  Number of merged facets: %d\n", nummerged);
-  }
-  if (!qh RANDOMoutside && qh QHULLfinished) {
-    cpu= (float)qh hulltime;
-    cpu /= (float)qh_SECticks;
-    wval_(Wcpu)= cpu;
-    qh_fprintf(fp, 9333, "  CPU seconds to compute hull (after input): %2.4g\n", cpu);
-  }
-  if (qh RERUN) {
-    if (!qh PREmerge && !qh MERGEexact)
-      qh_fprintf(fp, 9334, "  Percentage of runs with precision errors: %4.1f\n",
-           zzval_(Zretry)*100.0/qh build_cnt);  /* careful of order */
-  }else if (qh JOGGLEmax < REALmax/2) {
-    if (zzval_(Zretry))
-      qh_fprintf(fp, 9335, "  After %d retries, input joggled by: %2.2g\n",
-         zzval_(Zretry), qh JOGGLEmax);
-    else
-      qh_fprintf(fp, 9336, "  Input joggled by: %2.2g\n", qh JOGGLEmax);
-  }
-  if (qh totarea != 0.0)
-    qh_fprintf(fp, 9337, "  %s facet area:   %2.8g\n",
-            zzval_(Ztotmerge) ? "Approximate" : "Total", qh totarea);
-  if (qh totvol != 0.0)
-    qh_fprintf(fp, 9338, "  %s volume:       %2.8g\n",
-            zzval_(Ztotmerge) ? "Approximate" : "Total", qh totvol);
-  if (qh MERGING) {
-    qh_outerinner(NULL, &outerplane, &innerplane);
-    if (outerplane > 2 * qh DISTround) {
-      qh_fprintf(fp, 9339, "  Maximum distance of %spoint above facet: %2.2g",
-            (qh QHULLfinished ? "" : "merged "), outerplane);
-      ratio= outerplane/(qh ONEmerge + qh DISTround);
-      /* don't report ratio if MINoutside is large */
-      if (ratio > 0.05 && 2* qh ONEmerge > qh MINoutside && qh JOGGLEmax > REALmax/2)
-        qh_fprintf(fp, 9340, " (%.1fx)\n", ratio);
-      else
-        qh_fprintf(fp, 9341, "\n");
-    }
-    if (innerplane < -2 * qh DISTround) {
-      qh_fprintf(fp, 9342, "  Maximum distance of %svertex below facet: %2.2g",
-            (qh QHULLfinished ? "" : "merged "), innerplane);
-      ratio= -innerplane/(qh ONEmerge+qh DISTround);
-      if (ratio > 0.05 && qh JOGGLEmax > REALmax/2)
-        qh_fprintf(fp, 9343, " (%.1fx)\n", ratio);
-      else
-        qh_fprintf(fp, 9344, "\n");
-    }
-  }
-  qh_fprintf(fp, 9345, "\n");
-} /* printsummary */
diff --git a/extern/qhull/libqhull.h b/extern/qhull/libqhull.h
deleted file mode 100644
index 7a132267bde9..000000000000
--- a/extern/qhull/libqhull.h
+++ /dev/null
@@ -1,1100 +0,0 @@
-/*<html><pre>  -<a                             href="qh-qhull.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   libqhull.h
-   user-level header file for using qhull.a library
-
-   see qh-qhull.htm, qhull_a.h
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/libqhull.h#7 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-
-   NOTE: access to qh_qh is via the 'qh' macro.  This allows
-   qh_qh to be either a pointer or a structure.  An example
-   of using qh is "qh DROPdim" which accesses the DROPdim
-   field of qh_qh.  Similarly, access to qh_qhstat is via
-   the 'qhstat' macro.
-
-   includes function prototypes for libqhull.c, geom.c, global.c, io.c, user.c
-
-   use mem.h for mem.c
-   use qset.h for qset.c
-
-   see unix.c for an example of using libqhull.h
-
-   recompile qhull if you change this file
-*/
-
-#ifndef qhDEFlibqhull
-#define qhDEFlibqhull 1
-
-/*=========================== -included files ==============*/
-
-#include "user.h"      /* user definable constants (e.g., qh_QHpointer) */
-
-#include <setjmp.h>
-#include <float.h>
-#include <time.h>
-#include <stdio.h>
-
-#if __MWERKS__ && __POWERPC__
-#include  <SIOUX.h>
-#include  <Files.h>
-#include        <Desk.h>
-#endif
-
-#ifndef __STDC__
-#ifndef __cplusplus
-#if     !_MSC_VER
-#error  Neither __STDC__ nor __cplusplus is defined.  Please use strict ANSI C or C++ to compile
-#error  Qhull.  You may need to turn off compiler extensions in your project configuration.  If
-#error  your compiler is a standard C compiler, you can delete this warning from libqhull.h
-#endif
-#endif
-#endif
-
-/*============ constants and basic types ====================*/
-
-extern const char *qh_version; /* defined in global.c */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="coordT">-</a>
-
-  coordT
-    coordinates and coefficients are stored as realT (i.e., double)
-
-  notes:
-    Qhull works well if realT is 'float'.  If so joggle (QJ) is not effective.
-
-    Could use 'float' for data and 'double' for calculations (realT vs. coordT)
-      This requires many type casts, and adjusted error bounds.
-      Also C compilers may do expressions in double anyway.
-*/
-#define coordT realT
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="pointT">-</a>
-
-  pointT
-    a point is an array of coordinates, usually qh.hull_dim
-*/
-#define pointT coordT
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="flagT">-</a>
-
-  flagT
-    Boolean flag as a bit
-*/
-#define flagT unsigned int
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="boolT">-</a>
-
-  boolT
-    boolean value, either True or False
-
-  notes:
-    needed for portability
-    Use qh_False/qh_True as synonyms
-*/
-#define boolT unsigned int
-#ifdef False
-#undef False
-#endif
-#ifdef True
-#undef True
-#endif
-#define False 0
-#define True 1
-#define qh_False 0
-#define qh_True 1
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="CENTERtype">-</a>
-
-  qh_CENTER
-    to distinguish facet->center
-*/
-typedef enum
-{
-    qh_ASnone = 0, qh_ASvoronoi, qh_AScentrum
-}
-qh_CENTER;
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="qh_PRINT">-</a>
-
-  qh_PRINT
-    output formats for printing (qh.PRINTout).
-    'Fa' 'FV' 'Fc' 'FC'
-
-
-   notes:
-   some of these names are similar to qh names.  The similar names are only
-   used in switch statements in qh_printbegin() etc.
-*/
-typedef enum {qh_PRINTnone= 0,
-  qh_PRINTarea, qh_PRINTaverage,           /* 'Fa' 'FV' 'Fc' 'FC' */
-  qh_PRINTcoplanars, qh_PRINTcentrums,
-  qh_PRINTfacets, qh_PRINTfacets_xridge,   /* 'f' 'FF' 'G' 'FI' 'Fi' 'Fn' */
-  qh_PRINTgeom, qh_PRINTids, qh_PRINTinner, qh_PRINTneighbors,
-  qh_PRINTnormals, qh_PRINTouter, qh_PRINTmaple, /* 'n' 'Fo' 'i' 'm' 'Fm' 'FM', 'o' */
-  qh_PRINTincidences, qh_PRINTmathematica, qh_PRINTmerges, qh_PRINToff,
-  qh_PRINToptions, qh_PRINTpointintersect, /* 'FO' 'Fp' 'FP' 'p' 'FQ' 'FS' */
-  qh_PRINTpointnearest, qh_PRINTpoints, qh_PRINTqhull, qh_PRINTsize,
-  qh_PRINTsummary, qh_PRINTtriangles,      /* 'Fs' 'Ft' 'Fv' 'FN' 'Fx' */
-  qh_PRINTvertices, qh_PRINTvneighbors, qh_PRINTextremes,
-  qh_PRINTEND} qh_PRINT;
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="qh_ALL">-</a>
-
-  qh_ALL
-    argument flag for selecting everything
-*/
-#define qh_ALL      True
-#define qh_NOupper  True     /* argument for qh_findbest */
-#define qh_IScheckmax  True     /* argument for qh_findbesthorizon */
-#define qh_ISnewfacets  True     /* argument for qh_findbest */
-#define qh_RESETvisible  True     /* argument for qh_resetlists */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="qh_ERR">-</a>
-
-  qh_ERR
-    Qhull exit codes, for indicating errors
-    See: MSG_ERROR and MSG_WARNING [user.h]
-*/
-#define qh_ERRnone  0    /* no error occurred during qhull */
-#define qh_ERRinput 1    /* input inconsistency */
-#define qh_ERRsingular 2 /* singular input data */
-#define qh_ERRprec  3    /* precision error */
-#define qh_ERRmem   4    /* insufficient memory, matches mem.h */
-#define qh_ERRqhull 5    /* internal error detected, matches mem.h */
-
-/*-<a                             href="qh-qhull.htm#TOC"
->--------------------------------</a><a name="qh_FILEstderr">-</a>
-
-qh_FILEstderr
-Fake stderr to distinguish error output from normal output
-For C++ interface.  Must redefine qh_fprintf_qhull
-*/
-#define qh_FILEstderr (FILE*)1
-
-/* ============ -structures- ====================
-   each of the following structures is defined by a typedef
-   all realT and coordT fields occur at the beginning of a structure
-        (otherwise space may be wasted due to alignment)
-   define all flags together and pack into 32-bit number
-*/
-
-typedef struct vertexT vertexT;
-typedef struct ridgeT ridgeT;
-typedef struct facetT facetT;
-#ifndef DEFsetT
-#define DEFsetT 1
-typedef struct setT setT;          /* defined in qset.h */
-#endif
-
-#ifndef DEFqhstatT
-#define DEFqhstatT 1
-typedef struct qhstatT qhstatT;    /* defined in stat.h */
-#endif
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="facetT">-</a>
-
-  facetT
-    defines a facet
-
-  notes:
-   qhull() generates the hull as a list of facets.
-
-  topological information:
-    f.previous,next     doubly-linked list of facets
-    f.vertices          set of vertices
-    f.ridges            set of ridges
-    f.neighbors         set of neighbors
-    f.toporient         True if facet has top-orientation (else bottom)
-
-  geometric information:
-    f.offset,normal     hyperplane equation
-    f.maxoutside        offset to outer plane -- all points inside
-    f.center            centrum for testing convexity
-    f.simplicial        True if facet is simplicial
-    f.flipped           True if facet does not include qh.interior_point
-
-  for constructing hull:
-    f.visible           True if facet on list of visible facets (will be deleted)
-    f.newfacet          True if facet on list of newly created facets
-    f.coplanarset       set of points coplanar with this facet
-                        (includes near-inside points for later testing)
-    f.outsideset        set of points outside of this facet
-    f.furthestdist      distance to furthest point of outside set
-    f.visitid           marks visited facets during a loop
-    f.replace           replacement facet for to-be-deleted, visible facets
-    f.samecycle,newcycle cycle of facets for merging into horizon facet
-
-  see below for other flags and fields
-*/
-struct facetT {
-#if !qh_COMPUTEfurthest
-  coordT   furthestdist;/* distance to furthest point of outsideset */
-#endif
-#if qh_MAXoutside
-  coordT   maxoutside;  /* max computed distance of point to facet
-                        Before QHULLfinished this is an approximation
-                        since maxdist not always set for mergefacet
-                        Actual outer plane is +DISTround and
-                        computed outer plane is +2*DISTround */
-#endif
-  coordT   offset;      /* exact offset of hyperplane from origin */
-  coordT  *normal;      /* normal of hyperplane, hull_dim coefficients */
-                        /*   if tricoplanar, shared with a neighbor */
-  union {               /* in order of testing */
-   realT   area;        /* area of facet, only in io.c if  ->isarea */
-   facetT *replace;     /*  replacement facet if ->visible and NEWfacets
-                             is NULL only if qh_mergedegen_redundant or interior */
-   facetT *samecycle;   /*  cycle of facets from the same visible/horizon intersection,
-                             if ->newfacet */
-   facetT *newcycle;    /*  in horizon facet, current samecycle of new facets */
-   facetT *trivisible;  /* visible facet for ->tricoplanar facets during qh_triangulate() */
-   facetT *triowner;    /* owner facet for ->tricoplanar, !isarea facets w/ ->keepcentrum */
-  }f;
-  coordT  *center;      /*  centrum for convexity, qh CENTERtype == qh_AScentrum */
-                        /*  Voronoi center, qh CENTERtype == qh_ASvoronoi */
-                        /*   if tricoplanar, shared with a neighbor */
-  facetT  *previous;    /* previous facet in the facet_list */
-  facetT  *next;        /* next facet in the facet_list */
-  setT    *vertices;    /* vertices for this facet, inverse sorted by ID
-                           if simplicial, 1st vertex was apex/furthest */
-  setT    *ridges;      /* explicit ridges for nonsimplicial facets.
-                           for simplicial facets, neighbors define the ridges */
-  setT    *neighbors;   /* neighbors of the facet.  If simplicial, the kth
-                           neighbor is opposite the kth vertex, and the first
-                           neighbor is the horizon facet for the first vertex*/
-  setT    *outsideset;  /* set of points outside this facet
-                           if non-empty, last point is furthest
-                           if NARROWhull, includes coplanars for partitioning*/
-  setT    *coplanarset; /* set of points coplanar with this facet
-                           > qh.min_vertex and <= facet->max_outside
-                           a point is assigned to the furthest facet
-                           if non-empty, last point is furthest away */
-  unsigned visitid;     /* visit_id, for visiting all neighbors,
-                           all uses are independent */
-  unsigned id;          /* unique identifier from qh facet_id */
-  unsigned nummerge:9;  /* number of merges */
-#define qh_MAXnummerge 511 /*     2^9-1, 32 flags total, see "flags:" in io.c */
-  flagT    tricoplanar:1; /* True if TRIangulate and simplicial and coplanar with a neighbor */
-                          /*   all tricoplanars share the same ->center, ->normal, ->offset, ->maxoutside */
-                          /*   all tricoplanars share the same apex */
-                          /*   if ->degenerate, does not span facet (one logical ridge) */
-                          /*   one tricoplanar has ->keepcentrum and ->coplanarset */
-                          /*   during qh_triangulate, f.trivisible points to original facet */
-  flagT    newfacet:1;  /* True if facet on qh newfacet_list (new or merged) */
-  flagT    visible:1;   /* True if visible facet (will be deleted) */
-  flagT    toporient:1; /* True if created with top orientation
-                           after merging, use ridge orientation */
-  flagT    simplicial:1;/* True if simplicial facet, ->ridges may be implicit */
-  flagT    seen:1;      /* used to perform operations only once, like visitid */
-  flagT    seen2:1;     /* used to perform operations only once, like visitid */
-  flagT    flipped:1;   /* True if facet is flipped */
-  flagT    upperdelaunay:1; /* True if facet is upper envelope of Delaunay triangulation */
-  flagT    notfurthest:1; /* True if last point of outsideset is not furthest*/
-
-/*-------- flags primarily for output ---------*/
-  flagT    good:1;      /* True if a facet marked good for output */
-  flagT    isarea:1;    /* True if facet->f.area is defined */
-
-/*-------- flags for merging ------------------*/
-  flagT    dupridge:1;  /* True if duplicate ridge in facet */
-  flagT    mergeridge:1; /* True if facet or neighbor contains a qh_MERGEridge
-                            ->normal defined (also defined for mergeridge2) */
-  flagT    mergeridge2:1; /* True if neighbor contains a qh_MERGEridge (mark_dupridges */
-  flagT    coplanar:1;  /* True if horizon facet is coplanar at last use */
-  flagT     mergehorizon:1; /* True if will merge into horizon (->coplanar) */
-  flagT     cycledone:1;/* True if mergecycle_all already done */
-  flagT    tested:1;    /* True if facet convexity has been tested (false after merge */
-  flagT    keepcentrum:1; /* True if keep old centrum after a merge, or marks owner for ->tricoplanar */
-  flagT    newmerge:1;  /* True if facet is newly merged for reducevertices */
-  flagT    degenerate:1; /* True if facet is degenerate (degen_mergeset or ->tricoplanar) */
-  flagT    redundant:1;  /* True if facet is redundant (degen_mergeset) */
-};
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="ridgeT">-</a>
-
-  ridgeT
-    defines a ridge
-
-  notes:
-  a ridge is hull_dim-1 simplex between two neighboring facets.  If the
-  facets are non-simplicial, there may be more than one ridge between
-  two facets.  E.G. a 4-d hypercube has two triangles between each pair
-  of neighboring facets.
-
-  topological information:
-    vertices            a set of vertices
-    top,bottom          neighboring facets with orientation
-
-  geometric information:
-    tested              True if ridge is clearly convex
-    nonconvex           True if ridge is non-convex
-*/
-struct ridgeT {
-  setT    *vertices;    /* vertices belonging to this ridge, inverse sorted by ID
-                           NULL if a degen ridge (matchsame) */
-  facetT  *top;         /* top facet this ridge is part of */
-  facetT  *bottom;      /* bottom facet this ridge is part of */
-  unsigned id:24;       /* unique identifier, =>room for 8 flags, bit field matches qh.ridge_id */
-  flagT    seen:1;      /* used to perform operations only once */
-  flagT    tested:1;    /* True when ridge is tested for convexity */
-  flagT    nonconvex:1; /* True if getmergeset detected a non-convex neighbor
-                           only one ridge between neighbors may have nonconvex */
-};
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="vertexT">-</a>
-
-  vertexT
-     defines a vertex
-
-  topological information:
-    next,previous       doubly-linked list of all vertices
-    neighbors           set of adjacent facets (only if qh.VERTEXneighbors)
-
-  geometric information:
-    point               array of DIM3 coordinates
-*/
-struct vertexT {
-  vertexT *next;        /* next vertex in vertex_list */
-  vertexT *previous;    /* previous vertex in vertex_list */
-  pointT  *point;       /* hull_dim coordinates (coordT) */
-  setT    *neighbors;   /* neighboring facets of vertex, qh_vertexneighbors()
-                           inits in io.c or after first merge */
-  unsigned visitid:31;  /* for use with qh vertex_visit, size must match */
-  flagT    seen2:1;     /* another seen flag */
-  unsigned id:24;       /* unique identifier, bit field matches qh.vertex_id */
-  unsigned dim:4;       /* dimension of point if non-zero, used by cpp */
-                        /* =>room for 4 flags */
-  flagT    seen:1;      /* used to perform operations only once */
-  flagT    delridge:1;  /* vertex was part of a deleted ridge */
-  flagT    deleted:1;   /* true if vertex on qh del_vertices */
-  flagT    newlist:1;   /* true if vertex on qh newvertex_list */
-};
-
-#define MAX_vdim 15  /* Maximum size of vertex->dim */
-
-/*======= -global variables -qh ============================*/
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh">-</a>
-
-  qh
-   all global variables for qhull are in qh, qhmem, and qhstat
-
-  notes:
-   qhmem is defined in mem.h, qhstat is defined in stat.h, qhrbox is defined in rboxpoints.h
-   Access to qh_qh is via the "qh" macro.  See qh_QHpointer in user.h
-
-   All global variables for qhull are in qh, qhmem, and qhstat
-   qh must be unique for each instance of qhull
-   qhstat may be shared between qhull instances.
-   qhmem may be shared across multiple instances of Qhull.
-   Rbox uses global variables rbox_inuse and rbox, but does not persist data across calls.
-
-   Qhull is not multithreaded.  Global state could be stored in thread-local storage.
-*/
-
-extern int qhull_inuse;
-
-typedef struct qhT qhT;
-#if qh_QHpointer_dllimport
-#define qh qh_qh->
-__declspec(dllimport) extern qhT *qh_qh;     /* allocated in global.c */
-#elif qh_QHpointer
-#define qh qh_qh->
-extern qhT *qh_qh;     /* allocated in global.c */
-#elif qh_dllimport
-#define qh qh_qh.
-__declspec(dllimport) extern qhT qh_qh;      /* allocated in global.c */
-#else
-#define qh qh_qh.
-extern qhT qh_qh;
-#endif
-
-struct qhT {
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-const">-</a>
-
-  qh constants
-    configuration flags and constants for Qhull
-
-  notes:
-    The user configures Qhull by defining flags.  They are
-    copied into qh by qh_setflags().  qh-quick.htm#options defines the flags.
-*/
-  boolT ALLpoints;        /* true 'Qs' if search all points for initial simplex */
-  boolT ANGLEmerge;       /* true 'Qa' if sort potential merges by angle */
-  boolT APPROXhull;       /* true 'Wn' if MINoutside set */
-  realT   MINoutside;     /*   'Wn' min. distance for an outside point */
-  boolT ANNOTATEoutput;   /* true 'Ta' if annotate output with message codes */
-  boolT ATinfinity;       /* true 'Qz' if point num_points-1 is "at-infinity"
-                             for improving precision in Delaunay triangulations */
-  boolT AVOIDold;         /* true 'Q4' if avoid old->new merges */
-  boolT BESToutside;      /* true 'Qf' if partition points into best outsideset */
-  boolT CDDinput;         /* true 'Pc' if input uses CDD format (1.0/offset first) */
-  boolT CDDoutput;        /* true 'PC' if print normals in CDD format (offset first) */
-  boolT CHECKfrequently;  /* true 'Tc' if checking frequently */
-  realT premerge_cos;     /*   'A-n'   cos_max when pre merging */
-  realT postmerge_cos;    /*   'An'    cos_max when post merging */
-  boolT DELAUNAY;         /* true 'd' if computing DELAUNAY triangulation */
-  boolT DOintersections;  /* true 'Gh' if print hyperplane intersections */
-  int   DROPdim;          /* drops dim 'GDn' for 4-d -> 3-d output */
-  boolT FORCEoutput;      /* true 'Po' if forcing output despite degeneracies */
-  int   GOODpoint;        /* 1+n for 'QGn', good facet if visible/not(-) from point n*/
-  pointT *GOODpointp;     /*   the actual point */
-  boolT GOODthreshold;    /* true if qh lower_threshold/upper_threshold defined
-                             false if qh SPLITthreshold */
-  int   GOODvertex;       /* 1+n, good facet if vertex for point n */
-  pointT *GOODvertexp;     /*   the actual point */
-  boolT HALFspace;        /* true 'Hn,n,n' if halfspace intersection */
-  int   IStracing;        /* trace execution, 0=none, 1=least, 4=most, -1=events */
-  int   KEEParea;         /* 'PAn' number of largest facets to keep */
-  boolT KEEPcoplanar;     /* true 'Qc' if keeping nearest facet for coplanar points */
-  boolT KEEPinside;       /* true 'Qi' if keeping nearest facet for inside points
-                              set automatically if 'd Qc' */
-  int   KEEPmerge;        /* 'PMn' number of facets to keep with most merges */
-  realT KEEPminArea;      /* 'PFn' minimum facet area to keep */
-  realT MAXcoplanar;      /* 'Un' max distance below a facet to be coplanar*/
-  boolT MERGEexact;       /* true 'Qx' if exact merges (coplanar, degen, dupridge, flipped) */
-  boolT MERGEindependent; /* true 'Q2' if merging independent sets */
-  boolT MERGING;          /* true if exact-, pre- or post-merging, with angle and centrum tests */
-  realT   premerge_centrum;  /*   'C-n' centrum_radius when pre merging.  Default is round-off */
-  realT   postmerge_centrum; /*   'Cn' centrum_radius when post merging.  Default is round-off */
-  boolT MERGEvertices;    /* true 'Q3' if merging redundant vertices */
-  realT MINvisible;       /* 'Vn' min. distance for a facet to be visible */
-  boolT NOnarrow;         /* true 'Q10' if no special processing for narrow distributions */
-  boolT NOnearinside;     /* true 'Q8' if ignore near-inside points when partitioning */
-  boolT NOpremerge;       /* true 'Q0' if no defaults for C-0 or Qx */
-  boolT ONLYgood;         /* true 'Qg' if process points with good visible or horizon facets */
-  boolT ONLYmax;          /* true 'Qm' if only process points that increase max_outside */
-  boolT PICKfurthest;     /* true 'Q9' if process furthest of furthest points*/
-  boolT POSTmerge;        /* true if merging after buildhull (Cn or An) */
-  boolT PREmerge;         /* true if merging during buildhull (C-n or A-n) */
-                        /* NOTE: some of these names are similar to qh_PRINT names */
-  boolT PRINTcentrums;    /* true 'Gc' if printing centrums */
-  boolT PRINTcoplanar;    /* true 'Gp' if printing coplanar points */
-  int   PRINTdim;         /* print dimension for Geomview output */
-  boolT PRINTdots;        /* true 'Ga' if printing all points as dots */
-  boolT PRINTgood;        /* true 'Pg' if printing good facets */
-  boolT PRINTinner;       /* true 'Gi' if printing inner planes */
-  boolT PRINTneighbors;   /* true 'PG' if printing neighbors of good facets */
-  boolT PRINTnoplanes;    /* true 'Gn' if printing no planes */
-  boolT PRINToptions1st;  /* true 'FO' if printing options to stderr */
-  boolT PRINTouter;       /* true 'Go' if printing outer planes */
-  boolT PRINTprecision;   /* false 'Pp' if not reporting precision problems */
-  qh_PRINT PRINTout[qh_PRINTEND]; /* list of output formats to print */
-  boolT PRINTridges;      /* true 'Gr' if print ridges */
-  boolT PRINTspheres;     /* true 'Gv' if print vertices as spheres */
-  boolT PRINTstatistics;  /* true 'Ts' if printing statistics to stderr */
-  boolT PRINTsummary;     /* true 's' if printing summary to stderr */
-  boolT PRINTtransparent; /* true 'Gt' if print transparent outer ridges */
-  boolT PROJECTdelaunay;  /* true if DELAUNAY, no readpoints() and
-                             need projectinput() for Delaunay in qh_init_B */
-  int   PROJECTinput;     /* number of projected dimensions 'bn:0Bn:0' */
-  boolT QUICKhelp;        /* true if quick help message for degen input */
-  boolT RANDOMdist;       /* true if randomly change distplane and setfacetplane */
-  realT RANDOMfactor;     /*    maximum random perturbation */
-  realT RANDOMa;          /*    qh_randomfactor is randr * RANDOMa + RANDOMb */
-  realT RANDOMb;
-  boolT RANDOMoutside;    /* true if select a random outside point */
-  int   REPORTfreq;       /* buildtracing reports every n facets */
-  int   REPORTfreq2;      /* tracemerging reports every REPORTfreq/2 facets */
-  int   RERUN;            /* 'TRn' rerun qhull n times (qh.build_cnt) */
-  int   ROTATErandom;     /* 'QRn' seed, 0 time, >= rotate input */
-  boolT SCALEinput;       /* true 'Qbk' if scaling input */
-  boolT SCALElast;        /* true 'Qbb' if scale last coord to max prev coord */
-  boolT SETroundoff;      /* true 'E' if qh DISTround is predefined */
-  boolT SKIPcheckmax;     /* true 'Q5' if skip qh_check_maxout */
-  boolT SKIPconvex;       /* true 'Q6' if skip convexity testing during pre-merge */
-  boolT SPLITthresholds;  /* true if upper_/lower_threshold defines a region
-                               used only for printing (!for qh ONLYgood) */
-  int   STOPcone;         /* 'TCn' 1+n for stopping after cone for point n */
-                          /*       also used by qh_build_withresart for err exit*/
-  int   STOPpoint;        /* 'TVn' 'TV-n' 1+n for stopping after/before(-)
-                                        adding point n */
-  int   TESTpoints;       /* 'QTn' num of test points after qh.num_points.  Test points always coplanar. */
-  boolT TESTvneighbors;   /*  true 'Qv' if test vertex neighbors at end */
-  int   TRACElevel;       /* 'Tn' conditional IStracing level */
-  int   TRACElastrun;     /*  qh.TRACElevel applies to last qh.RERUN */
-  int   TRACEpoint;       /* 'TPn' start tracing when point n is a vertex */
-  realT TRACEdist;        /* 'TWn' start tracing when merge distance too big */
-  int   TRACEmerge;       /* 'TMn' start tracing before this merge */
-  boolT TRIangulate;      /* true 'Qt' if triangulate non-simplicial facets */
-  boolT TRInormals;       /* true 'Q11' if triangulate duplicates normals (sets Qt) */
-  boolT UPPERdelaunay;    /* true 'Qu' if computing furthest-site Delaunay */
-  boolT USEstdout;        /* true 'Tz' if using stdout instead of stderr */
-  boolT VERIFYoutput;     /* true 'Tv' if verify output at end of qhull */
-  boolT VIRTUALmemory;    /* true 'Q7' if depth-first processing in buildhull */
-  boolT VORONOI;          /* true 'v' if computing Voronoi diagram */
-
-  /*--------input constants ---------*/
-  realT AREAfactor;       /* 1/(hull_dim-1)! for converting det's to area */
-  boolT DOcheckmax;       /* true if calling qh_check_maxout (qh_initqhull_globals) */
-  char  *feasible_string;  /* feasible point 'Hn,n,n' for halfspace intersection */
-  coordT *feasible_point;  /*    as coordinates, both malloc'd */
-  boolT GETarea;          /* true 'Fa', 'FA', 'FS', 'PAn', 'PFn' if compute facet area/Voronoi volume in io.c */
-  boolT KEEPnearinside;   /* true if near-inside points in coplanarset */
-  int   hull_dim;         /* dimension of hull, set by initbuffers */
-  int   input_dim;        /* dimension of input, set by initbuffers */
-  int   num_points;       /* number of input points */
-  pointT *first_point;    /* array of input points, see POINTSmalloc */
-  boolT POINTSmalloc;     /*   true if qh first_point/num_points allocated */
-  pointT *input_points;   /* copy of original qh.first_point for input points for qh_joggleinput */
-  boolT input_malloc;     /* true if qh input_points malloc'd */
-  char  qhull_command[256];/* command line that invoked this program */
-  int   qhull_commandsiz2; /*    size of qhull_command at qh_clear_outputflags */
-  char  rbox_command[256]; /* command line that produced the input points */
-  char  qhull_options[512];/* descriptive list of options */
-  int   qhull_optionlen;  /*    length of last line */
-  int   qhull_optionsiz;  /*    size of qhull_options at qh_build_withrestart */
-  int   qhull_optionsiz2; /*    size of qhull_options at qh_clear_outputflags */
-  int   run_id;           /* non-zero, random identifier for this instance of qhull */
-  boolT VERTEXneighbors;  /* true if maintaining vertex neighbors */
-  boolT ZEROcentrum;      /* true if 'C-0' or 'C-0 Qx'.  sets ZEROall_ok */
-  realT *upper_threshold; /* don't print if facet->normal[k]>=upper_threshold[k]
-                             must set either GOODthreshold or SPLITthreshold
-                             if Delaunay, default is 0.0 for upper envelope */
-  realT *lower_threshold; /* don't print if facet->normal[k] <=lower_threshold[k] */
-  realT *upper_bound;     /* scale point[k] to new upper bound */
-  realT *lower_bound;     /* scale point[k] to new lower bound
-                             project if both upper_ and lower_bound == 0 */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-prec">-</a>
-
-  qh precision constants
-    precision constants for Qhull
-
-  notes:
-    qh_detroundoff() computes the maximum roundoff error for distance
-    and other computations.  It also sets default values for the
-    qh constants above.
-*/
-  realT ANGLEround;       /* max round off error for angles */
-  realT centrum_radius;   /* max centrum radius for convexity (roundoff added) */
-  realT cos_max;          /* max cosine for convexity (roundoff added) */
-  realT DISTround;        /* max round off error for distances, 'E' overrides */
-  realT MAXabs_coord;     /* max absolute coordinate */
-  realT MAXlastcoord;     /* max last coordinate for qh_scalelast */
-  realT MAXsumcoord;      /* max sum of coordinates */
-  realT MAXwidth;         /* max rectilinear width of point coordinates */
-  realT MINdenom_1;       /* min. abs. value for 1/x */
-  realT MINdenom;         /*    use divzero if denominator < MINdenom */
-  realT MINdenom_1_2;     /* min. abs. val for 1/x that allows normalization */
-  realT MINdenom_2;       /*    use divzero if denominator < MINdenom_2 */
-  realT MINlastcoord;     /* min. last coordinate for qh_scalelast */
-  boolT NARROWhull;       /* set in qh_initialhull if angle < qh_MAXnarrow */
-  realT *NEARzero;        /* hull_dim array for near zero in gausselim */
-  realT NEARinside;       /* keep points for qh_check_maxout if close to facet */
-  realT ONEmerge;         /* max distance for merging simplicial facets */
-  realT outside_err;      /* application's epsilon for coplanar points
-                             qh_check_bestdist() qh_check_points() reports error if point outside */
-  realT WIDEfacet;        /* size of wide facet for skipping ridge in
-                             area computation and locking centrum */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-codetern">-</a>
-
-  qh internal constants
-    internal constants for Qhull
-*/
-  char qhull[sizeof("qhull")]; /* "qhull" for checking ownership while debugging */
-  jmp_buf errexit;        /* exit label for qh_errexit, defined by setjmp() */
-  char jmpXtra[40];       /* extra bytes in case jmp_buf is defined wrong by compiler */
-  jmp_buf restartexit;    /* restart label for qh_errexit, defined by setjmp() */
-  char jmpXtra2[40];      /* extra bytes in case jmp_buf is defined wrong by compiler*/
-  FILE *fin;              /* pointer to input file, init by qh_meminit */
-  FILE *fout;             /* pointer to output file */
-  FILE *ferr;             /* pointer to error file */
-  pointT *interior_point; /* center point of the initial simplex*/
-  int normal_size;     /* size in bytes for facet normals and point coords*/
-  int center_size;     /* size in bytes for Voronoi centers */
-  int   TEMPsize;         /* size for small, temporary sets (in quick mem) */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-lists">-</a>
-
-  qh facet and vertex lists
-    defines lists of facets, new facets, visible facets, vertices, and
-    new vertices.  Includes counts, next ids, and trace ids.
-  see:
-    qh_resetlists()
-*/
-  facetT *facet_list;     /* first facet */
-  facetT  *facet_tail;     /* end of facet_list (dummy facet) */
-  facetT *facet_next;     /* next facet for buildhull()
-                             previous facets do not have outside sets
-                             NARROWhull: previous facets may have coplanar outside sets for qh_outcoplanar */
-  facetT *newfacet_list;  /* list of new facets to end of facet_list */
-  facetT *visible_list;   /* list of visible facets preceeding newfacet_list,
-                             facet->visible set */
-  int       num_visible;  /* current number of visible facets */
-  unsigned tracefacet_id;  /* set at init, then can print whenever */
-  facetT *tracefacet;     /*   set in newfacet/mergefacet, undone in delfacet*/
-  unsigned tracevertex_id;  /* set at buildtracing, can print whenever */
-  vertexT *tracevertex;     /*   set in newvertex, undone in delvertex*/
-  vertexT *vertex_list;     /* list of all vertices, to vertex_tail */
-  vertexT  *vertex_tail;    /*      end of vertex_list (dummy vertex) */
-  vertexT *newvertex_list; /* list of vertices in newfacet_list, to vertex_tail
-                             all vertices have 'newlist' set */
-  int   num_facets;       /* number of facets in facet_list
-                             includes visble faces (num_visible) */
-  int   num_vertices;     /* number of vertices in facet_list */
-  int   num_outside;      /* number of points in outsidesets (for tracing and RANDOMoutside)
-                               includes coplanar outsideset points for NARROWhull/qh_outcoplanar() */
-  int   num_good;         /* number of good facets (after findgood_all) */
-  unsigned facet_id;      /* ID of next, new facet from newfacet() */
-  unsigned ridge_id:24;   /* ID of next, new ridge from newridge() */
-  unsigned vertex_id:24;  /* ID of next, new vertex from newvertex() */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-var">-</a>
-
-  qh global variables
-    defines minimum and maximum distances, next visit ids, several flags,
-    and other global variables.
-    initialize in qh_initbuild or qh_maxmin if used in qh_buildhull
-*/
-  unsigned long hulltime; /* ignore time to set up input and randomize */
-                          /*   use unsigned to avoid wrap-around errors */
-  boolT ALLOWrestart;     /* true if qh_precision can use qh.restartexit */
-  int   build_cnt;        /* number of calls to qh_initbuild */
-  qh_CENTER CENTERtype;   /* current type of facet->center, qh_CENTER */
-  int   furthest_id;      /* pointid of furthest point, for tracing */
-  facetT *GOODclosest;    /* closest facet to GOODthreshold in qh_findgood */
-  boolT hasAreaVolume;    /* true if totarea, totvol was defined by qh_getarea */
-  boolT hasTriangulation; /* true if triangulation created by qh_triangulate */
-  realT JOGGLEmax;        /* set 'QJn' if randomly joggle input */
-  boolT maxoutdone;       /* set qh_check_maxout(), cleared by qh_addpoint() */
-  realT max_outside;      /* maximum distance from a point to a facet,
-                               before roundoff, not simplicial vertices
-                               actual outer plane is +DISTround and
-                               computed outer plane is +2*DISTround */
-  realT max_vertex;       /* maximum distance (>0) from vertex to a facet,
-                               before roundoff, due to a merge */
-  realT min_vertex;       /* minimum distance (<0) from vertex to a facet,
-                               before roundoff, due to a merge
-                               if qh.JOGGLEmax, qh_makenewplanes sets it
-                               recomputed if qh.DOcheckmax, default -qh.DISTround */
-  boolT NEWfacets;        /* true while visible facets invalid due to new or merge
-                              from makecone/attachnewfacets to deletevisible */
-  boolT findbestnew;      /* true if partitioning calls qh_findbestnew */
-  boolT findbest_notsharp; /* true if new facets are at least 90 degrees */
-  boolT NOerrexit;        /* true if qh.errexit is not available */
-  realT PRINTcradius;     /* radius for printing centrums */
-  realT PRINTradius;      /* radius for printing vertex spheres and points */
-  boolT POSTmerging;      /* true when post merging */
-  int   printoutvar;      /* temporary variable for qh_printbegin, etc. */
-  int   printoutnum;      /* number of facets printed */
-  boolT QHULLfinished;    /* True after qhull() is finished */
-  realT totarea;          /* 'FA': total facet area computed by qh_getarea, hasAreaVolume */
-  realT totvol;           /* 'FA': total volume computed by qh_getarea, hasAreaVolume */
-  unsigned int visit_id;  /* unique ID for searching neighborhoods, */
-  unsigned int vertex_visit:31; /* unique ID for searching vertices, reset with qh_buildtracing */
-  boolT ZEROall_ok;       /* True if qh_checkzero always succeeds */
-  boolT WAScoplanar;      /* True if qh_partitioncoplanar (qh_check_maxout) */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-set">-</a>
-
-  qh global sets
-    defines sets for merging, initial simplex, hashing, extra input points,
-    and deleted vertices
-*/
-  setT *facet_mergeset;   /* temporary set of merges to be done */
-  setT *degen_mergeset;   /* temporary set of degenerate and redundant merges */
-  setT *hash_table;       /* hash table for matching ridges in qh_matchfacets
-                             size is setsize() */
-  setT *other_points;     /* additional points */
-  setT *del_vertices;     /* vertices to partition and delete with visible
-                             facets.  Have deleted set for checkfacet */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-buf">-</a>
-
-  qh global buffers
-    defines buffers for maxtrix operations, input, and error messages
-*/
-  coordT *gm_matrix;      /* (dim+1)Xdim matrix for geom.c */
-  coordT **gm_row;        /* array of gm_matrix rows */
-  char* line;             /* malloc'd input line of maxline+1 chars */
-  int maxline;
-  coordT *half_space;     /* malloc'd input array for halfspace (qh normal_size+coordT) */
-  coordT *temp_malloc;    /* malloc'd input array for points */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >--------------------------------</a><a name="qh-static">-</a>
-
-  qh static variables
-    defines static variables for individual functions
-
-  notes:
-    do not use 'static' within a function.  Multiple instances of qhull
-    may exist.
-
-    do not assume zero initialization, 'QPn' may cause a restart
-*/
-  boolT ERREXITcalled;    /* true during qh_errexit (prevents duplicate calls */
-  boolT firstcentrum;     /* for qh_printcentrum */
-  boolT old_randomdist;   /* save RANDOMdist flag during io, tracing, or statistics */
-  setT *coplanarfacetset;  /* set of coplanar facets for searching qh_findbesthorizon() */
-  realT last_low;         /* qh_scalelast parameters for qh_setdelaunay */
-  realT last_high;
-  realT last_newhigh;
-  unsigned lastreport;    /* for qh_buildtracing */
-  int mergereport;        /* for qh_tracemerging */
-  qhstatT *old_qhstat;    /* for saving qh_qhstat in save_qhull() and UsingLibQhull.  Free with qh_free() */
-  setT *old_tempstack;    /* for saving qhmem.tempstack in save_qhull */
-  int   ridgeoutnum;      /* number of ridges for 4OFF output (qh_printbegin,etc) */
-};
-
-/*=========== -macros- =========================*/
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="otherfacet_">-</a>
-
-  otherfacet_(ridge, facet)
-    return neighboring facet for a ridge in facet
-*/
-#define otherfacet_(ridge, facet) \
-                        (((ridge)->top == (facet)) ? (ridge)->bottom : (ridge)->top)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="getid_">-</a>
-
-  getid_(p)
-    return int ID for facet, ridge, or vertex
-    return -1 if NULL
-*/
-#define getid_(p)       ((p) ? (int)((p)->id) : -1)
-
-/*============== FORALL macros ===================*/
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLfacets">-</a>
-
-  FORALLfacets { ... }
-    assign 'facet' to each facet in qh.facet_list
-
-  notes:
-    uses 'facetT *facet;'
-    assumes last facet is a sentinel
-
-  see:
-    FORALLfacet_( facetlist )
-*/
-#define FORALLfacets for (facet=qh facet_list;facet && facet->next;facet=facet->next)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLpoints">-</a>
-
-  FORALLpoints { ... }
-    assign 'point' to each point in qh.first_point, qh.num_points
-
-  declare:
-    coordT *point, *pointtemp;
-*/
-#define FORALLpoints FORALLpoint_(qh first_point, qh num_points)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLpoint_">-</a>
-
-  FORALLpoint_( points, num) { ... }
-    assign 'point' to each point in points array of num points
-
-  declare:
-    coordT *point, *pointtemp;
-*/
-#define FORALLpoint_(points, num) for (point= (points), \
-      pointtemp= (points)+qh hull_dim*(num); point < pointtemp; point += qh hull_dim)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLvertices">-</a>
-
-  FORALLvertices { ... }
-    assign 'vertex' to each vertex in qh.vertex_list
-
-  declare:
-    vertexT *vertex;
-
-  notes:
-    assumes qh.vertex_list terminated with a sentinel
-*/
-#define FORALLvertices for (vertex=qh vertex_list;vertex && vertex->next;vertex= vertex->next)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHfacet_">-</a>
-
-  FOREACHfacet_( facets ) { ... }
-    assign 'facet' to each facet in facets
-
-  declare:
-    facetT *facet, **facetp;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHfacet_(facets)    FOREACHsetelement_(facetT, facets, facet)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHneighbor_">-</a>
-
-  FOREACHneighbor_( facet ) { ... }
-    assign 'neighbor' to each neighbor in facet->neighbors
-
-  FOREACHneighbor_( vertex ) { ... }
-    assign 'neighbor' to each neighbor in vertex->neighbors
-
-  declare:
-    facetT *neighbor, **neighborp;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHneighbor_(facet)  FOREACHsetelement_(facetT, facet->neighbors, neighbor)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHpoint_">-</a>
-
-  FOREACHpoint_( points ) { ... }
-    assign 'point' to each point in points set
-
-  declare:
-    pointT *point, **pointp;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHpoint_(points)    FOREACHsetelement_(pointT, points, point)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHridge_">-</a>
-
-  FOREACHridge_( ridges ) { ... }
-    assign 'ridge' to each ridge in ridges set
-
-  declare:
-    ridgeT *ridge, **ridgep;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHridge_(ridges)    FOREACHsetelement_(ridgeT, ridges, ridge)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHvertex_">-</a>
-
-  FOREACHvertex_( vertices ) { ... }
-    assign 'vertex' to each vertex in vertices set
-
-  declare:
-    vertexT *vertex, **vertexp;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHvertex_(vertices) FOREACHsetelement_(vertexT, vertices,vertex)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHfacet_i_">-</a>
-
-  FOREACHfacet_i_( facets ) { ... }
-    assign 'facet' and 'facet_i' for each facet in facets set
-
-  declare:
-    facetT *facet;
-    int     facet_n, facet_i;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_i_">FOREACHsetelement_i_</a>
-*/
-#define FOREACHfacet_i_(facets)    FOREACHsetelement_i_(facetT, facets, facet)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHneighbor_i_">-</a>
-
-  FOREACHneighbor_i_( facet ) { ... }
-    assign 'neighbor' and 'neighbor_i' for each neighbor in facet->neighbors
-
-  FOREACHneighbor_i_( vertex ) { ... }
-    assign 'neighbor' and 'neighbor_i' for each neighbor in vertex->neighbors
-
-  declare:
-    facetT *neighbor;
-    int     neighbor_n, neighbor_i;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_i_">FOREACHsetelement_i_</a>
-*/
-#define FOREACHneighbor_i_(facet)  FOREACHsetelement_i_(facetT, facet->neighbors, neighbor)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHpoint_i_">-</a>
-
-  FOREACHpoint_i_( points ) { ... }
-    assign 'point' and 'point_i' for each point in points set
-
-  declare:
-    pointT *point;
-    int     point_n, point_i;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_i_">FOREACHsetelement_i_</a>
-*/
-#define FOREACHpoint_i_(points)    FOREACHsetelement_i_(pointT, points, point)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHridge_i_">-</a>
-
-  FOREACHridge_i_( ridges ) { ... }
-    assign 'ridge' and 'ridge_i' for each ridge in ridges set
-
-  declare:
-    ridgeT *ridge;
-    int     ridge_n, ridge_i;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_i_">FOREACHsetelement_i_</a>
-*/
-#define FOREACHridge_i_(ridges)    FOREACHsetelement_i_(ridgeT, ridges, ridge)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHvertex_i_">-</a>
-
-  FOREACHvertex_i_( vertices ) { ... }
-    assign 'vertex' and 'vertex_i' for each vertex in vertices set
-
-  declare:
-    vertexT *vertex;
-    int     vertex_n, vertex_i;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_i_">FOREACHsetelement_i_</a>
-*/
-#define FOREACHvertex_i_(vertices) FOREACHsetelement_i_(vertexT, vertices,vertex)
-
-/********* -libqhull.c prototypes (duplicated from qhull_a.h) **********************/
-
-void    qh_qhull(void);
-boolT   qh_addpoint(pointT *furthest, facetT *facet, boolT checkdist);
-void    qh_printsummary(FILE *fp);
-
-/********* -user.c prototypes (alphabetical) **********************/
-
-void    qh_errexit(int exitcode, facetT *facet, ridgeT *ridge);
-void    qh_errprint(const char* string, facetT *atfacet, facetT *otherfacet, ridgeT *atridge, vertexT *atvertex);
-int     qh_new_qhull(int dim, int numpoints, coordT *points, boolT ismalloc,
-                char *qhull_cmd, FILE *outfile, FILE *errfile);
-void    qh_printfacetlist(facetT *facetlist, setT *facets, boolT printall);
-void    qh_printhelp_degenerate(FILE *fp);
-void    qh_printhelp_narrowhull(FILE *fp, realT minangle);
-void    qh_printhelp_singular(FILE *fp);
-void    qh_user_memsizes(void);
-
-/********* -usermem.c prototypes (alphabetical) **********************/
-void    qh_exit(int exitcode);
-void    qh_free(void *mem);
-void   *qh_malloc(size_t size);
-
-/********* -userprintf.c and userprintf_rbox.c prototypes **********************/
-void    qh_fprintf(FILE *fp, int msgcode, const char *fmt, ... );
-void    qh_fprintf_rbox(FILE *fp, int msgcode, const char *fmt, ... );
-
-/***** -geom.c/geom2.c/random.c prototypes (duplicated from geom.h, random.h) ****************/
-
-facetT *qh_findbest(pointT *point, facetT *startfacet,
-                     boolT bestoutside, boolT newfacets, boolT noupper,
-                     realT *dist, boolT *isoutside, int *numpart);
-facetT *qh_findbestnew(pointT *point, facetT *startfacet,
-                     realT *dist, boolT bestoutside, boolT *isoutside, int *numpart);
-boolT   qh_gram_schmidt(int dim, realT **rows);
-void    qh_outerinner(facetT *facet, realT *outerplane, realT *innerplane);
-void    qh_printsummary(FILE *fp);
-void    qh_projectinput(void);
-void    qh_randommatrix(realT *buffer, int dim, realT **row);
-void    qh_rotateinput(realT **rows);
-void    qh_scaleinput(void);
-void    qh_setdelaunay(int dim, int count, pointT *points);
-coordT  *qh_sethalfspace_all(int dim, int count, coordT *halfspaces, pointT *feasible);
-
-/***** -global.c prototypes (alphabetical) ***********************/
-
-unsigned long qh_clock(void);
-void    qh_checkflags(char *command, char *hiddenflags);
-void    qh_clear_outputflags(void);
-void    qh_freebuffers(void);
-void    qh_freeqhull(boolT allmem);
-void    qh_freeqhull2(boolT allmem);
-void    qh_init_A(FILE *infile, FILE *outfile, FILE *errfile, int argc, char *argv[]);
-void    qh_init_B(coordT *points, int numpoints, int dim, boolT ismalloc);
-void    qh_init_qhull_command(int argc, char *argv[]);
-void    qh_initbuffers(coordT *points, int numpoints, int dim, boolT ismalloc);
-void    qh_initflags(char *command);
-void    qh_initqhull_buffers(void);
-void    qh_initqhull_globals(coordT *points, int numpoints, int dim, boolT ismalloc);
-void    qh_initqhull_mem(void);
-void    qh_initqhull_outputflags(void);
-void    qh_initqhull_start(FILE *infile, FILE *outfile, FILE *errfile);
-void    qh_initqhull_start2(FILE *infile, FILE *outfile, FILE *errfile);
-void    qh_initthresholds(char *command);
-void    qh_option(const char *option, int *i, realT *r);
-#if qh_QHpointer
-void    qh_restore_qhull(qhT **oldqh);
-qhT    *qh_save_qhull(void);
-#endif
-
-/***** -io.c prototypes (duplicated from io.h) ***********************/
-
-void    dfacet( unsigned id);
-void    dvertex( unsigned id);
-void    qh_printneighborhood(FILE *fp, qh_PRINT format, facetT *facetA, facetT *facetB, boolT printall);
-void    qh_produce_output(void);
-coordT *qh_readpoints(int *numpoints, int *dimension, boolT *ismalloc);
-
-
-/********* -mem.c prototypes (duplicated from mem.h) **********************/
-
-void qh_meminit(FILE *ferr);
-void qh_memfreeshort(int *curlong, int *totlong);
-
-/********* -poly.c/poly2.c prototypes (duplicated from poly.h) **********************/
-
-void    qh_check_output(void);
-void    qh_check_points(void);
-setT   *qh_facetvertices(facetT *facetlist, setT *facets, boolT allfacets);
-facetT *qh_findbestfacet(pointT *point, boolT bestoutside,
-           realT *bestdist, boolT *isoutside);
-vertexT *qh_nearvertex(facetT *facet, pointT *point, realT *bestdistp);
-pointT *qh_point(int id);
-setT   *qh_pointfacet(void /*qh.facet_list*/);
-int     qh_pointid(pointT *point);
-setT   *qh_pointvertex(void /*qh.facet_list*/);
-void    qh_setvoronoi_all(void);
-void    qh_triangulate(void /*qh facet_list*/);
-
-/********* -rboxpoints.c prototypes **********************/
-int     qh_rboxpoints(FILE* fout, FILE* ferr, char* rbox_command);
-void    qh_errexit_rbox(int exitcode);
-
-/********* -stat.c prototypes (duplicated from stat.h) **********************/
-
-void    qh_collectstatistics(void);
-void    qh_printallstatistics(FILE *fp, const char *string);
-
-#endif /* qhDEFlibqhull */
diff --git a/extern/qhull/mem.c b/extern/qhull/mem.c
deleted file mode 100644
index f0a8a0fc3273..000000000000
--- a/extern/qhull/mem.c
+++ /dev/null
@@ -1,542 +0,0 @@
-/*<html><pre>  -<a                             href="qh-mem.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-  mem.c
-    memory management routines for qhull
-
-  This is a standalone program.
-
-  To initialize memory:
-
-    qh_meminit(stderr);
-    qh_meminitbuffers(qh IStracing, qh_MEMalign, 7, qh_MEMbufsize,qh_MEMinitbuf);
-    qh_memsize((int)sizeof(facetT));
-    qh_memsize((int)sizeof(facetT));
-    ...
-    qh_memsetup();
-
-  To free up all memory buffers:
-    qh_memfreeshort(&curlong, &totlong);
-
-  if qh_NOmem,
-    malloc/free is used instead of mem.c
-
-  notes:
-    uses Quickfit algorithm (freelists for commonly allocated sizes)
-    assumes small sizes for freelists (it discards the tail of memory buffers)
-
-  see:
-    qh-mem.htm and mem.h
-    global.c (qh_initbuffers) for an example of using mem.c
-
-  Copyright (c) 1993-2012 The Geometry Center.
-  $Id: //main/2011/qhull/src/libqhull/mem.c#4 $$Change: 1464 $
-  $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#include "mem.h"
-#include <string.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-#ifndef qhDEFlibqhull
-typedef struct ridgeT ridgeT;
-typedef struct facetT facetT;
-#ifdef _MSC_VER  /* Microsoft Visual C++ -- warning level 4 */
-#pragma warning( disable : 4127)  /* conditional expression is constant */
-#pragma warning( disable : 4706)  /* assignment within conditional function */
-#endif
-void    qh_errexit(int exitcode, facetT *, ridgeT *);
-void    qh_exit(int exitcode);
-void    qh_fprintf(FILE *fp, int msgcode, const char *fmt, ... );
-void    qh_free(void *mem);
-void   *qh_malloc(size_t size);
-#endif
-
-/*============ -global data structure ==============
-    see mem.h for definition
-*/
-
-qhmemT qhmem= {0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0,0,0,0,0,
-               0,0,0,0,0,0,0};     /* remove "= {0}" if this causes a compiler error */
-
-#ifndef qh_NOmem
-
-/*============= internal functions ==============*/
-
-static int qh_intcompare(const void *i, const void *j);
-
-/*========== functions in alphabetical order ======== */
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="intcompare">-</a>
-
-  qh_intcompare( i, j )
-    used by qsort and bsearch to compare two integers
-*/
-static int qh_intcompare(const void *i, const void *j) {
-  return(*((const int *)i) - *((const int *)j));
-} /* intcompare */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="memalloc">-</a>
-
-  qh_memalloc( insize )
-    returns object of insize bytes
-    qhmem is the global memory structure
-
-  returns:
-    pointer to allocated memory
-    errors if insufficient memory
-
-  notes:
-    use explicit type conversion to avoid type warnings on some compilers
-    actual object may be larger than insize
-    use qh_memalloc_() for inline code for quick allocations
-    logs allocations if 'T5'
-
-  design:
-    if size < qhmem.LASTsize
-      if qhmem.freelists[size] non-empty
-        return first object on freelist
-      else
-        round up request to size of qhmem.freelists[size]
-        allocate new allocation buffer if necessary
-        allocate object from allocation buffer
-    else
-      allocate object with qh_malloc() in user.c
-*/
-void *qh_memalloc(int insize) {
-  void **freelistp, *newbuffer;
-  int idx, size, n;
-  int outsize, bufsize;
-  void *object;
-
-  if (insize<0) {
-      qh_fprintf(qhmem.ferr, 6235, "qhull error (qh_memalloc): negative request size (%d).  Did int overflow due to high-D?\n", insize); /* WARN64 */
-      qh_errexit(qhmem_ERRmem, NULL, NULL);
-  }
-  if (insize>=0 && insize <= qhmem.LASTsize) {
-    idx= qhmem.indextable[insize];
-    outsize= qhmem.sizetable[idx];
-    qhmem.totshort += outsize;
-    freelistp= qhmem.freelists+idx;
-    if ((object= *freelistp)) {
-      qhmem.cntquick++;
-      qhmem.totfree -= outsize;
-      *freelistp= *((void **)*freelistp);  /* replace freelist with next object */
-#ifdef qh_TRACEshort
-      n= qhmem.cntshort+qhmem.cntquick+qhmem.freeshort;
-      if (qhmem.IStracing >= 5)
-          qh_fprintf(qhmem.ferr, 8141, "qh_mem %p n %8d alloc quick: %d bytes (tot %d cnt %d)\n", object, n, outsize, qhmem.totshort, qhmem.cntshort+qhmem.cntquick-qhmem.freeshort);
-#endif
-      return(object);
-    }else {
-      qhmem.cntshort++;
-      if (outsize > qhmem .freesize) {
-        qhmem .totdropped += qhmem .freesize;
-        if (!qhmem.curbuffer)
-          bufsize= qhmem.BUFinit;
-        else
-          bufsize= qhmem.BUFsize;
-        if (!(newbuffer= qh_malloc((size_t)bufsize))) {
-          qh_fprintf(qhmem.ferr, 6080, "qhull error (qh_memalloc): insufficient memory to allocate short memory buffer (%d bytes)\n", bufsize);
-          qh_errexit(qhmem_ERRmem, NULL, NULL);
-        }
-        *((void **)newbuffer)= qhmem.curbuffer;  /* prepend newbuffer to curbuffer
-                                                    list */
-        qhmem.curbuffer= newbuffer;
-        size= (sizeof(void **) + qhmem.ALIGNmask) & ~qhmem.ALIGNmask;
-        qhmem.freemem= (void *)((char *)newbuffer+size);
-        qhmem.freesize= bufsize - size;
-        qhmem.totbuffer += bufsize - size; /* easier to check */
-        /* Periodically test totbuffer.  It matches at beginning and exit of every call */
-        n = qhmem.totshort + qhmem.totfree + qhmem.totdropped + qhmem.freesize - outsize;
-        if (qhmem.totbuffer != n) {
-            qh_fprintf(qhmem.ferr, 6212, "qh_memalloc internal error: short totbuffer %d != totshort+totfree... %d\n", qhmem.totbuffer, n);
-            qh_errexit(qhmem_ERRmem, NULL, NULL);
-        }
-      }
-      object= qhmem.freemem;
-      qhmem.freemem= (void *)((char *)qhmem.freemem + outsize);
-      qhmem.freesize -= outsize;
-      qhmem.totunused += outsize - insize;
-#ifdef qh_TRACEshort
-      n= qhmem.cntshort+qhmem.cntquick+qhmem.freeshort;
-      if (qhmem.IStracing >= 5)
-          qh_fprintf(qhmem.ferr, 8140, "qh_mem %p n %8d alloc short: %d bytes (tot %d cnt %d)\n", object, n, outsize, qhmem.totshort, qhmem.cntshort+qhmem.cntquick-qhmem.freeshort);
-#endif
-      return object;
-    }
-  }else {                     /* long allocation */
-    if (!qhmem.indextable) {
-      qh_fprintf(qhmem.ferr, 6081, "qhull internal error (qh_memalloc): qhmem has not been initialized.\n");
-      qh_errexit(qhmem_ERRqhull, NULL, NULL);
-    }
-    outsize= insize;
-    qhmem .cntlong++;
-    qhmem .totlong += outsize;
-    if (qhmem.maxlong < qhmem.totlong)
-      qhmem.maxlong= qhmem.totlong;
-    if (!(object= qh_malloc((size_t)outsize))) {
-      qh_fprintf(qhmem.ferr, 6082, "qhull error (qh_memalloc): insufficient memory to allocate %d bytes\n", outsize);
-      qh_errexit(qhmem_ERRmem, NULL, NULL);
-    }
-    if (qhmem.IStracing >= 5)
-      qh_fprintf(qhmem.ferr, 8057, "qh_mem %p n %8d alloc long: %d bytes (tot %d cnt %d)\n", object, qhmem.cntlong+qhmem.freelong, outsize, qhmem.totlong, qhmem.cntlong-qhmem.freelong);
-  }
-  return(object);
-} /* memalloc */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="memfree">-</a>
-
-  qh_memfree( object, insize )
-    free up an object of size bytes
-    size is insize from qh_memalloc
-
-  notes:
-    object may be NULL
-    type checking warns if using (void **)object
-    use qh_memfree_() for quick free's of small objects
-
-  design:
-    if size <= qhmem.LASTsize
-      append object to corresponding freelist
-    else
-      call qh_free(object)
-*/
-void qh_memfree(void *object, int insize) {
-  void **freelistp;
-  int idx, outsize;
-
-  if (!object)
-    return;
-  if (insize <= qhmem.LASTsize) {
-    qhmem .freeshort++;
-    idx= qhmem.indextable[insize];
-    outsize= qhmem.sizetable[idx];
-    qhmem .totfree += outsize;
-    qhmem .totshort -= outsize;
-    freelistp= qhmem.freelists + idx;
-    *((void **)object)= *freelistp;
-    *freelistp= object;
-#ifdef qh_TRACEshort
-    idx= qhmem.cntshort+qhmem.cntquick+qhmem.freeshort;
-    if (qhmem.IStracing >= 5)
-        qh_fprintf(qhmem.ferr, 8142, "qh_mem %p n %8d free short: %d bytes (tot %d cnt %d)\n", object, idx, outsize, qhmem.totshort, qhmem.cntshort+qhmem.cntquick-qhmem.freeshort);
-#endif
-  }else {
-    qhmem .freelong++;
-    qhmem .totlong -= insize;
-    qh_free(object);
-    if (qhmem.IStracing >= 5)
-      qh_fprintf(qhmem.ferr, 8058, "qh_mem %p n %8d free long: %d bytes (tot %d cnt %d)\n", object, qhmem.cntlong+qhmem.freelong, insize, qhmem.totlong, qhmem.cntlong-qhmem.freelong);
-  }
-} /* memfree */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="memfreeshort">-</a>
-
-  qh_memfreeshort( curlong, totlong )
-    frees up all short and qhmem memory allocations
-
-  returns:
-    number and size of current long allocations
-
-  see:
-    qh_freeqhull(allMem)
-    qh_memtotal(curlong, totlong, curshort, totshort, maxlong, totbuffer);
-*/
-void qh_memfreeshort(int *curlong, int *totlong) {
-  void *buffer, *nextbuffer;
-  FILE *ferr;
-
-  *curlong= qhmem .cntlong - qhmem .freelong;
-  *totlong= qhmem .totlong;
-  for (buffer= qhmem.curbuffer; buffer; buffer= nextbuffer) {
-    nextbuffer= *((void **) buffer);
-    qh_free(buffer);
-  }
-  qhmem.curbuffer= NULL;
-  if (qhmem .LASTsize) {
-    qh_free(qhmem .indextable);
-    qh_free(qhmem .freelists);
-    qh_free(qhmem .sizetable);
-  }
-  ferr= qhmem.ferr;
-  memset((char *)&qhmem, 0, sizeof(qhmem));  /* every field is 0, FALSE, NULL */
-  qhmem.ferr= ferr;
-} /* memfreeshort */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="meminit">-</a>
-
-  qh_meminit( ferr )
-    initialize qhmem and test sizeof( void*)
-*/
-void qh_meminit(FILE *ferr) {
-
-  memset((char *)&qhmem, 0, sizeof(qhmem));  /* every field is 0, FALSE, NULL */
-  qhmem.ferr= ferr;
-  if (sizeof(void*) < sizeof(int)) {
-    qh_fprintf(ferr, 6083, "qhull internal error (qh_meminit): sizeof(void*) %d < sizeof(int) %d.  qset.c will not work\n", (int)sizeof(void*), (int)sizeof(int));
-    qh_exit(qhmem_ERRqhull);  /* can not use qh_errexit() */
-  }
-  if (sizeof(void*) > sizeof(ptr_intT)) {
-      qh_fprintf(ferr, 6084, "qhull internal error (qh_meminit): sizeof(void*) %d > sizeof(ptr_intT) %d. Change ptr_intT in mem.h to 'long long'\n", (int)sizeof(void*), (int)sizeof(ptr_intT));
-      qh_exit(qhmem_ERRqhull);  /* can not use qh_errexit() */
-  }
-} /* meminit */
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="meminitbuffers">-</a>
-
-  qh_meminitbuffers( tracelevel, alignment, numsizes, bufsize, bufinit )
-    initialize qhmem
-    if tracelevel >= 5, trace memory allocations
-    alignment= desired address alignment for memory allocations
-    numsizes= number of freelists
-    bufsize=  size of additional memory buffers for short allocations
-    bufinit=  size of initial memory buffer for short allocations
-*/
-void qh_meminitbuffers(int tracelevel, int alignment, int numsizes, int bufsize, int bufinit) {
-
-  qhmem.IStracing= tracelevel;
-  qhmem.NUMsizes= numsizes;
-  qhmem.BUFsize= bufsize;
-  qhmem.BUFinit= bufinit;
-  qhmem.ALIGNmask= alignment-1;
-  if (qhmem.ALIGNmask & ~qhmem.ALIGNmask) {
-    qh_fprintf(qhmem.ferr, 6085, "qhull internal error (qh_meminit): memory alignment %d is not a power of 2\n", alignment);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  qhmem.sizetable= (int *) calloc((size_t)numsizes, sizeof(int));
-  qhmem.freelists= (void **) calloc((size_t)numsizes, sizeof(void *));
-  if (!qhmem.sizetable || !qhmem.freelists) {
-    qh_fprintf(qhmem.ferr, 6086, "qhull error (qh_meminit): insufficient memory\n");
-    qh_errexit(qhmem_ERRmem, NULL, NULL);
-  }
-  if (qhmem.IStracing >= 1)
-    qh_fprintf(qhmem.ferr, 8059, "qh_meminitbuffers: memory initialized with alignment %d\n", alignment);
-} /* meminitbuffers */
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="memsetup">-</a>
-
-  qh_memsetup()
-    set up memory after running memsize()
-*/
-void qh_memsetup(void) {
-  int k,i;
-
-  qsort(qhmem.sizetable, (size_t)qhmem.TABLEsize, sizeof(int), qh_intcompare);
-  qhmem.LASTsize= qhmem.sizetable[qhmem.TABLEsize-1];
-  if (qhmem .LASTsize >= qhmem .BUFsize || qhmem.LASTsize >= qhmem .BUFinit) {
-    qh_fprintf(qhmem.ferr, 6087, "qhull error (qh_memsetup): largest mem size %d is >= buffer size %d or initial buffer size %d\n",
-            qhmem .LASTsize, qhmem .BUFsize, qhmem .BUFinit);
-    qh_errexit(qhmem_ERRmem, NULL, NULL);
-  }
-  if (!(qhmem.indextable= (int *)qh_malloc((qhmem.LASTsize+1) * sizeof(int)))) {
-    qh_fprintf(qhmem.ferr, 6088, "qhull error (qh_memsetup): insufficient memory\n");
-    qh_errexit(qhmem_ERRmem, NULL, NULL);
-  }
-  for (k=qhmem.LASTsize+1; k--; )
-    qhmem.indextable[k]= k;
-  i= 0;
-  for (k=0; k <= qhmem.LASTsize; k++) {
-    if (qhmem.indextable[k] <= qhmem.sizetable[i])
-      qhmem.indextable[k]= i;
-    else
-      qhmem.indextable[k]= ++i;
-  }
-} /* memsetup */
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="memsize">-</a>
-
-  qh_memsize( size )
-    define a free list for this size
-*/
-void qh_memsize(int size) {
-  int k;
-
-  if (qhmem .LASTsize) {
-    qh_fprintf(qhmem.ferr, 6089, "qhull error (qh_memsize): called after qhmem_setup\n");
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  size= (size + qhmem.ALIGNmask) & ~qhmem.ALIGNmask;
-  for (k=qhmem.TABLEsize; k--; ) {
-    if (qhmem.sizetable[k] == size)
-      return;
-  }
-  if (qhmem.TABLEsize < qhmem.NUMsizes)
-    qhmem.sizetable[qhmem.TABLEsize++]= size;
-  else
-    qh_fprintf(qhmem.ferr, 7060, "qhull warning (memsize): free list table has room for only %d sizes\n", qhmem.NUMsizes);
-} /* memsize */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="memstatistics">-</a>
-
-  qh_memstatistics( fp )
-    print out memory statistics
-
-    Verifies that qhmem.totfree == sum of freelists
-*/
-void qh_memstatistics(FILE *fp) {
-  int i, count, totfree= 0;
-  void *object;
-
-  for (i=0; i < qhmem.TABLEsize; i++) {
-    count=0;
-    for (object= qhmem .freelists[i]; object; object= *((void **)object))
-      count++;
-    totfree += qhmem.sizetable[i] * count;
-  }
-  if (totfree != qhmem .totfree) {
-      qh_fprintf(qhmem.ferr, 6211, "qh_memstatistics internal error: totfree %d not equal to freelist total %d\n", qhmem.totfree, totfree);
-      qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  qh_fprintf(fp, 9278, "\nmemory statistics:\n\
-%7d quick allocations\n\
-%7d short allocations\n\
-%7d long allocations\n\
-%7d short frees\n\
-%7d long frees\n\
-%7d bytes of short memory in use\n\
-%7d bytes of short memory in freelists\n\
-%7d bytes of dropped short memory\n\
-%7d bytes of unused short memory (estimated)\n\
-%7d bytes of long memory allocated (max, except for input)\n\
-%7d bytes of long memory in use (in %d pieces)\n\
-%7d bytes of short memory buffers (minus links)\n\
-%7d bytes per short memory buffer (initially %d bytes)\n",
-           qhmem .cntquick, qhmem .cntshort, qhmem .cntlong,
-           qhmem .freeshort, qhmem .freelong,
-           qhmem .totshort, qhmem .totfree,
-           qhmem .totdropped + qhmem .freesize, qhmem .totunused,
-           qhmem .maxlong, qhmem .totlong, qhmem .cntlong - qhmem .freelong,
-           qhmem .totbuffer, qhmem .BUFsize, qhmem .BUFinit);
-  if (qhmem.cntlarger) {
-    qh_fprintf(fp, 9279, "%7d calls to qh_setlarger\n%7.2g     average copy size\n",
-           qhmem.cntlarger, ((float)qhmem.totlarger)/(float)qhmem.cntlarger);
-    qh_fprintf(fp, 9280, "  freelists(bytes->count):");
-  }
-  for (i=0; i < qhmem.TABLEsize; i++) {
-    count=0;
-    for (object= qhmem .freelists[i]; object; object= *((void **)object))
-      count++;
-    qh_fprintf(fp, 9281, " %d->%d", qhmem.sizetable[i], count);
-  }
-  qh_fprintf(fp, 9282, "\n\n");
-} /* memstatistics */
-
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="NOmem">-</a>
-
-  qh_NOmem
-    turn off quick-fit memory allocation
-
-  notes:
-    uses qh_malloc() and qh_free() instead
-*/
-#else /* qh_NOmem */
-
-void *qh_memalloc(int insize) {
-  void *object;
-
-  if (!(object= qh_malloc((size_t)insize))) {
-    qh_fprintf(qhmem.ferr, 6090, "qhull error (qh_memalloc): insufficient memory\n");
-    qh_errexit(qhmem_ERRmem, NULL, NULL);
-  }
-  qhmem .cntlong++;
-  qhmem .totlong += insize;
-  if (qhmem.maxlong < qhmem.totlong)
-      qhmem.maxlong= qhmem.totlong;
-  if (qhmem.IStracing >= 5)
-    qh_fprintf(qhmem.ferr, 8060, "qh_mem %p n %8d alloc long: %d bytes (tot %d cnt %d)\n", object, qhmem.cntlong+qhmem.freelong, insize, qhmem.totlong, qhmem.cntlong-qhmem.freelong);
-  return object;
-}
-
-void qh_memfree(void *object, int insize) {
-
-  if (!object)
-    return;
-  qh_free(object);
-  qhmem .freelong++;
-  qhmem .totlong -= insize;
-  if (qhmem.IStracing >= 5)
-    qh_fprintf(qhmem.ferr, 8061, "qh_mem %p n %8d free long: %d bytes (tot %d cnt %d)\n", object, qhmem.cntlong+qhmem.freelong, insize, qhmem.totlong, qhmem.cntlong-qhmem.freelong);
-}
-
-void qh_memfreeshort(int *curlong, int *totlong) {
-  *totlong= qhmem .totlong;
-  *curlong= qhmem .cntlong - qhmem .freelong;
-  memset((char *)&qhmem, 0, sizeof(qhmem));  /* every field is 0, FALSE, NULL */
-}
-
-void qh_meminit(FILE *ferr) {
-
-  memset((char *)&qhmem, 0, sizeof(qhmem));  /* every field is 0, FALSE, NULL */
-  qhmem.ferr= ferr;
-  if (sizeof(void*) < sizeof(int)) {
-    qh_fprintf(ferr, 6091, "qhull internal error (qh_meminit): sizeof(void*) %d < sizeof(int) %d.  qset.c will not work\n", (int)sizeof(void*), (int)sizeof(int));
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-}
-
-void qh_meminitbuffers(int tracelevel, int alignment, int numsizes, int bufsize, int bufinit) {
-
-  qhmem.IStracing= tracelevel;
-}
-
-void qh_memsetup(void) {
-
-}
-
-void qh_memsize(int size) {
-
-}
-
-void qh_memstatistics(FILE *fp) {
-
-  qh_fprintf(fp, 9409, "\nmemory statistics:\n\
-%7d long allocations\n\
-%7d long frees\n\
-%7d bytes of long memory allocated (max, except for input)\n\
-%7d bytes of long memory in use (in %d pieces)\n",
-           qhmem .cntlong,
-           qhmem .freelong,
-           qhmem .maxlong, qhmem .totlong, qhmem .cntlong - qhmem .freelong);
-}
-
-#endif /* qh_NOmem */
-
-/*-<a                             href="qh-mem.htm#TOC"
->-------------------------------</a><a name="memtotlong">-</a>
-
-  qh_memtotal( totlong, curlong, totshort, curshort, maxlong, totbuffer )
-    Return the total, allocated long and short memory
-
-  returns:
-    Returns the total current bytes of long and short allocations
-    Returns the current count of long and short allocations
-    Returns the maximum long memory and total short buffer (minus one link per buffer)
-    Does not error (UsingLibQhull.cpp)
-*/
-void qh_memtotal(int *totlong, int *curlong, int *totshort, int *curshort, int *maxlong, int *totbuffer) {
-    *totlong= qhmem .totlong;
-    *curlong= qhmem .cntlong - qhmem .freelong;
-    *totshort= qhmem .totshort;
-    *curshort= qhmem .cntshort + qhmem .cntquick - qhmem .freeshort;
-    *maxlong= qhmem .maxlong;
-    *totbuffer= qhmem .totbuffer;
-} /* memtotlong */
diff --git a/extern/qhull/mem.h b/extern/qhull/mem.h
deleted file mode 100644
index d65cbe128e48..000000000000
--- a/extern/qhull/mem.h
+++ /dev/null
@@ -1,219 +0,0 @@
-/*<html><pre>  -<a                             href="qh-mem.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   mem.h
-     prototypes for memory management functions
-
-   see qh-mem.htm, mem.c and qset.h
-
-   for error handling, writes message and calls
-     qh_errexit(qhmem_ERRmem, NULL, NULL) if insufficient memory
-       and
-     qh_errexit(qhmem_ERRqhull, NULL, NULL) otherwise
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/mem.h#4 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFmem
-#define qhDEFmem 1
-
-#include <stdio.h>
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >-------------------------------</a><a name="NOmem">-</a>
-
-  qh_NOmem
-    turn off quick-fit memory allocation
-
-  notes:
-    mem.c implements Quickfit memory allocation for about 20% time
-    savings.  If it fails on your machine, try to locate the
-    problem, and send the answer to qhull@qhull.org.  If this can
-    not be done, define qh_NOmem to use malloc/free instead.
-
-   #define qh_NOmem
-*/
-
-/*-<a                             href="qh-mem.htm#TOC"
->-------------------------------</a><a name="TRACEshort">-</a>
-
-qh_TRACEshort
-Trace short and quick memory allocations at T5
-
-*/
-#define qh_TRACEshort
-
-/*-------------------------------------------
-    to avoid bus errors, memory allocation must consider alignment requirements.
-    malloc() automatically takes care of alignment.   Since mem.c manages
-    its own memory, we need to explicitly specify alignment in
-    qh_meminitbuffers().
-
-    A safe choice is sizeof(double).  sizeof(float) may be used if doubles
-    do not occur in data structures and pointers are the same size.  Be careful
-    of machines (e.g., DEC Alpha) with large pointers.  If gcc is available,
-    use __alignof__(double) or fmax_(__alignof__(float), __alignof__(void *)).
-
-   see <a href="user.h#MEMalign">qh_MEMalign</a> in user.h for qhull's alignment
-*/
-
-#define qhmem_ERRmem 4    /* matches qh_ERRmem in libqhull.h */
-#define qhmem_ERRqhull 5  /* matches qh_ERRqhull in libqhull.h */
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="ptr_intT">-</a>
-
-  ptr_intT
-    for casting a void * to an integer-type that holds a pointer
-    Used for integer expressions (e.g., computing qh_gethash() in poly.c)
-
-  notes:
-    WARN64 -- these notes indicate 64-bit issues
-    On 64-bit machines, a pointer may be larger than an 'int'.
-    qh_meminit()/mem.c checks that 'ptr_intT' holds a 'void*'
-    ptr_intT is typically a signed value, but not necessarily so
-    size_t is typically unsigned, but should match the parameter type
-    Qhull uses int instead of size_t except for system calls such as malloc, qsort, qh_malloc, etc.
-    This matches Qt convention and is easier to work with.
-*/
-#if _MSC_VER && defined(_WIN64)
-typedef long long ptr_intT;
-#else
-typedef long ptr_intT;
-#endif
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="qhmemT">-</a>
-
-  qhmemT
-    global memory structure for mem.c
-
- notes:
-   users should ignore qhmem except for writing extensions
-   qhmem is allocated in mem.c
-
-   qhmem could be swapable like qh and qhstat, but then
-   multiple qh's and qhmem's would need to keep in synch.
-   A swapable qhmem would also waste memory buffers.  As long
-   as memory operations are atomic, there is no problem with
-   multiple qh structures being active at the same time.
-   If you need separate address spaces, you can swap the
-   contents of qhmem.
-*/
-typedef struct qhmemT qhmemT;
-extern qhmemT qhmem;
-
-#ifndef DEFsetT
-#define DEFsetT 1
-typedef struct setT setT;          /* defined in qset.h */
-#endif
-
-/* Update qhmem in mem.c if add or remove fields */
-struct qhmemT {               /* global memory management variables */
-  int      BUFsize;           /* size of memory allocation buffer */
-  int      BUFinit;           /* initial size of memory allocation buffer */
-  int      TABLEsize;         /* actual number of sizes in free list table */
-  int      NUMsizes;          /* maximum number of sizes in free list table */
-  int      LASTsize;          /* last size in free list table */
-  int      ALIGNmask;         /* worst-case alignment, must be 2^n-1 */
-  void   **freelists;          /* free list table, linked by offset 0 */
-  int     *sizetable;         /* size of each freelist */
-  int     *indextable;        /* size->index table */
-  void    *curbuffer;         /* current buffer, linked by offset 0 */
-  void    *freemem;           /*   free memory in curbuffer */
-  int      freesize;          /*   size of freemem in bytes */
-  setT    *tempstack;         /* stack of temporary memory, managed by users */
-  FILE    *ferr;              /* file for reporting errors, only user is qh_fprintf() */
-  int      IStracing;         /* =5 if tracing memory allocations */
-  int      cntquick;          /* count of quick allocations */
-                              /* Note: removing statistics doesn't effect speed */
-  int      cntshort;          /* count of short allocations */
-  int      cntlong;           /* count of long allocations */
-  int      freeshort;         /* count of short memfrees */
-  int      freelong;          /* count of long memfrees */
-  int      totbuffer;         /* total short memory buffers minus buffer links */
-  int      totdropped;        /* total dropped memory at end of short memory buffers (e.g., freesize) */
-  int      totfree;           /* total size of free, short memory on freelists */
-  int      totlong;           /* total size of long memory in use */
-  int      maxlong;           /*   maximum totlong */
-  int      totshort;          /* total size of short memory in use */
-  int      totunused;         /* total unused short memory (estimated, short size - request size of first allocations) */
-  int      cntlarger;         /* count of setlarger's */
-  int      totlarger;         /* total copied by setlarger */
-};
-
-
-/*==================== -macros ====================*/
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="memalloc_">-</a>
-
-  qh_memalloc_(insize, object, type)
-    returns object of size bytes
-        assumes size<=qhmem.LASTsize and void **freelistp is a temp
-*/
-
-#if defined qh_NOmem
-#define qh_memalloc_(insize, freelistp, object, type) {\
-  object= (type*)qh_memalloc(insize); }
-#elif defined qh_TRACEshort
-#define qh_memalloc_(insize, freelistp, object, type) {\
-    freelistp= NULL; /* Avoid warnings */ \
-    object= (type*)qh_memalloc(insize); }
-#else /* !qh_NOmem */
-
-#define qh_memalloc_(insize, freelistp, object, type) {\
-  freelistp= qhmem.freelists + qhmem.indextable[insize];\
-  if ((object= (type*)*freelistp)) {\
-    qhmem.totshort += qhmem.sizetable[qhmem.indextable[insize]]; \
-    qhmem.totfree -= qhmem.sizetable[qhmem.indextable[insize]]; \
-    qhmem.cntquick++;  \
-    *freelistp= *((void **)*freelistp);\
-  }else object= (type*)qh_memalloc(insize);}
-#endif
-
-/*-<a                             href="qh-mem.htm#TOC"
-  >--------------------------------</a><a name="memfree_">-</a>
-
-  qh_memfree_(object, insize)
-    free up an object
-
-  notes:
-    object may be NULL
-    assumes size<=qhmem.LASTsize and void **freelistp is a temp
-*/
-#if defined qh_NOmem
-#define qh_memfree_(object, insize, freelistp) {\
-  qh_memfree(object, insize); }
-#elif defined qh_TRACEshort
-#define qh_memfree_(object, insize, freelistp) {\
-    freelistp= NULL; /* Avoid warnings */ \
-    qh_memfree(object, insize); }
-#else /* !qh_NOmem */
-
-#define qh_memfree_(object, insize, freelistp) {\
-  if (object) { \
-    qhmem .freeshort++;\
-    freelistp= qhmem.freelists + qhmem.indextable[insize];\
-    qhmem.totshort -= qhmem.sizetable[qhmem.indextable[insize]]; \
-    qhmem.totfree += qhmem.sizetable[qhmem.indextable[insize]]; \
-    *((void **)object)= *freelistp;\
-    *freelistp= object;}}
-#endif
-
-/*=============== prototypes in alphabetical order ============*/
-
-void *qh_memalloc(int insize);
-void qh_memfree(void *object, int insize);
-void qh_memfreeshort(int *curlong, int *totlong);
-void qh_meminit(FILE *ferr);
-void qh_meminitbuffers(int tracelevel, int alignment, int numsizes,
-                        int bufsize, int bufinit);
-void qh_memsetup(void);
-void qh_memsize(int size);
-void qh_memstatistics(FILE *fp);
-void qh_memtotal(int *totlong, int *curlong, int *totshort, int *curshort, int *maxlong, int *totbuffer);
-
-#endif /* qhDEFmem */
diff --git a/extern/qhull/merge.c b/extern/qhull/merge.c
deleted file mode 100644
index 71215d772a4b..000000000000
--- a/extern/qhull/merge.c
+++ /dev/null
@@ -1,3622 +0,0 @@
-/*<html><pre>  -<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   merge.c
-   merges non-convex facets
-
-   see qh-merge.htm and merge.h
-
-   other modules call qh_premerge() and qh_postmerge()
-
-   the user may call qh_postmerge() to perform additional merges.
-
-   To remove deleted facets and vertices (qhull() in libqhull.c):
-     qh_partitionvisible(!qh_ALL, &numoutside);  // visible_list, newfacet_list
-     qh_deletevisible();         // qh.visible_list
-     qh_resetlists(False, qh_RESETvisible);       // qh.visible_list newvertex_list newfacet_list
-
-   assumes qh.CENTERtype= centrum
-
-   merges occur in qh_mergefacet and in qh_mergecycle
-   vertex->neighbors not set until the first merge occurs
-
-   Copyright (c) 1993-2012 C.B. Barber.
-   $Id: //main/2011/qhull/src/libqhull/merge.c#4 $$Change: 1490 $
-   $DateTime: 2012/02/19 20:27:01 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-#ifndef qh_NOmerge
-
-/*===== functions(alphabetical after premerge and postmerge) ======*/
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="premerge">-</a>
-
-  qh_premerge( apex, maxcentrum )
-    pre-merge nonconvex facets in qh.newfacet_list for apex
-    maxcentrum defines coplanar and concave (qh_test_appendmerge)
-
-  returns:
-    deleted facets added to qh.visible_list with facet->visible set
-
-  notes:
-    uses globals, qh.MERGEexact, qh.PREmerge
-
-  design:
-    mark duplicate ridges in qh.newfacet_list
-    merge facet cycles in qh.newfacet_list
-    merge duplicate ridges and concave facets in qh.newfacet_list
-    check merged facet cycles for degenerate and redundant facets
-    merge degenerate and redundant facets
-    collect coplanar and concave facets
-    merge concave, coplanar, degenerate, and redundant facets
-*/
-void qh_premerge(vertexT *apex, realT maxcentrum, realT maxangle) {
-  boolT othermerge= False;
-  facetT *newfacet;
-
-  if (qh ZEROcentrum && qh_checkzero(!qh_ALL))
-    return;
-  trace2((qh ferr, 2008, "qh_premerge: premerge centrum %2.2g angle %2.2g for apex v%d facetlist f%d\n",
-            maxcentrum, maxangle, apex->id, getid_(qh newfacet_list)));
-  if (qh IStracing >= 4 && qh num_facets < 50)
-    qh_printlists();
-  qh centrum_radius= maxcentrum;
-  qh cos_max= maxangle;
-  qh degen_mergeset= qh_settemp(qh TEMPsize);
-  qh facet_mergeset= qh_settemp(qh TEMPsize);
-  if (qh hull_dim >=3) {
-    qh_mark_dupridges(qh newfacet_list); /* facet_mergeset */
-    qh_mergecycle_all(qh newfacet_list, &othermerge);
-    qh_forcedmerges(&othermerge /* qh facet_mergeset */);
-    FORALLnew_facets {  /* test samecycle merges */
-      if (!newfacet->simplicial && !newfacet->mergeridge)
-        qh_degen_redundant_neighbors(newfacet, NULL);
-    }
-    if (qh_merge_degenredundant())
-      othermerge= True;
-  }else /* qh hull_dim == 2 */
-    qh_mergecycle_all(qh newfacet_list, &othermerge);
-  qh_flippedmerges(qh newfacet_list, &othermerge);
-  if (!qh MERGEexact || zzval_(Ztotmerge)) {
-    zinc_(Zpremergetot);
-    qh POSTmerging= False;
-    qh_getmergeset_initial(qh newfacet_list);
-    qh_all_merges(othermerge, False);
-  }
-  qh_settempfree(&qh facet_mergeset);
-  qh_settempfree(&qh degen_mergeset);
-} /* premerge */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="postmerge">-</a>
-
-  qh_postmerge( reason, maxcentrum, maxangle, vneighbors )
-    post-merge nonconvex facets as defined by maxcentrum and maxangle
-    'reason' is for reporting progress
-    if vneighbors,
-      calls qh_test_vneighbors at end of qh_all_merge
-    if firstmerge,
-      calls qh_reducevertices before qh_getmergeset
-
-  returns:
-    if first call (qh.visible_list != qh.facet_list),
-      builds qh.facet_newlist, qh.newvertex_list
-    deleted facets added to qh.visible_list with facet->visible
-    qh.visible_list == qh.facet_list
-
-  notes:
-
-
-  design:
-    if first call
-      set qh.visible_list and qh.newfacet_list to qh.facet_list
-      add all facets to qh.newfacet_list
-      mark non-simplicial facets, facet->newmerge
-      set qh.newvertext_list to qh.vertex_list
-      add all vertices to qh.newvertex_list
-      if a pre-merge occured
-        set vertex->delridge {will retest the ridge}
-        if qh.MERGEexact
-          call qh_reducevertices()
-      if no pre-merging
-        merge flipped facets
-    determine non-convex facets
-    merge all non-convex facets
-*/
-void qh_postmerge(const char *reason, realT maxcentrum, realT maxangle,
-                      boolT vneighbors) {
-  facetT *newfacet;
-  boolT othermerges= False;
-  vertexT *vertex;
-
-  if (qh REPORTfreq || qh IStracing) {
-    qh_buildtracing(NULL, NULL);
-    qh_printsummary(qh ferr);
-    if (qh PRINTstatistics)
-      qh_printallstatistics(qh ferr, "reason");
-    qh_fprintf(qh ferr, 8062, "\n%s with 'C%.2g' and 'A%.2g'\n",
-        reason, maxcentrum, maxangle);
-  }
-  trace2((qh ferr, 2009, "qh_postmerge: postmerge.  test vneighbors? %d\n",
-            vneighbors));
-  qh centrum_radius= maxcentrum;
-  qh cos_max= maxangle;
-  qh POSTmerging= True;
-  qh degen_mergeset= qh_settemp(qh TEMPsize);
-  qh facet_mergeset= qh_settemp(qh TEMPsize);
-  if (qh visible_list != qh facet_list) {  /* first call */
-    qh NEWfacets= True;
-    qh visible_list= qh newfacet_list= qh facet_list;
-    FORALLnew_facets {
-      newfacet->newfacet= True;
-       if (!newfacet->simplicial)
-        newfacet->newmerge= True;
-     zinc_(Zpostfacets);
-    }
-    qh newvertex_list= qh vertex_list;
-    FORALLvertices
-      vertex->newlist= True;
-    if (qh VERTEXneighbors) { /* a merge has occurred */
-      FORALLvertices
-        vertex->delridge= True; /* test for redundant, needed? */
-      if (qh MERGEexact) {
-        if (qh hull_dim <= qh_DIMreduceBuild)
-          qh_reducevertices(); /* was skipped during pre-merging */
-      }
-    }
-    if (!qh PREmerge && !qh MERGEexact)
-      qh_flippedmerges(qh newfacet_list, &othermerges);
-  }
-  qh_getmergeset_initial(qh newfacet_list);
-  qh_all_merges(False, vneighbors);
-  qh_settempfree(&qh facet_mergeset);
-  qh_settempfree(&qh degen_mergeset);
-} /* post_merge */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="all_merges">-</a>
-
-  qh_all_merges( othermerge, vneighbors )
-    merge all non-convex facets
-
-    set othermerge if already merged facets (for qh_reducevertices)
-    if vneighbors
-      tests vertex neighbors for convexity at end
-    qh.facet_mergeset lists the non-convex ridges in qh_newfacet_list
-    qh.degen_mergeset is defined
-    if qh.MERGEexact && !qh.POSTmerging,
-      does not merge coplanar facets
-
-  returns:
-    deleted facets added to qh.visible_list with facet->visible
-    deleted vertices added qh.delvertex_list with vertex->delvertex
-
-  notes:
-    unless !qh.MERGEindependent,
-      merges facets in independent sets
-    uses qh.newfacet_list as argument since merges call qh_removefacet()
-
-  design:
-    while merges occur
-      for each merge in qh.facet_mergeset
-        unless one of the facets was already merged in this pass
-          merge the facets
-        test merged facets for additional merges
-        add merges to qh.facet_mergeset
-      if vertices record neighboring facets
-        rename redundant vertices
-          update qh.facet_mergeset
-    if vneighbors ??
-      tests vertex neighbors for convexity at end
-*/
-void qh_all_merges(boolT othermerge, boolT vneighbors) {
-  facetT *facet1, *facet2;
-  mergeT *merge;
-  boolT wasmerge= True, isreduce;
-  void **freelistp;  /* used !qh_NOmem */
-  vertexT *vertex;
-  mergeType mergetype;
-  int numcoplanar=0, numconcave=0, numdegenredun= 0, numnewmerges= 0;
-
-  trace2((qh ferr, 2010, "qh_all_merges: starting to merge facets beginning from f%d\n",
-            getid_(qh newfacet_list)));
-  while (True) {
-    wasmerge= False;
-    while (qh_setsize(qh facet_mergeset)) {
-      while ((merge= (mergeT*)qh_setdellast(qh facet_mergeset))) {
-        facet1= merge->facet1;
-        facet2= merge->facet2;
-        mergetype= merge->type;
-        qh_memfree_(merge, (int)sizeof(mergeT), freelistp);
-        if (facet1->visible || facet2->visible) /*deleted facet*/
-          continue;
-        if ((facet1->newfacet && !facet1->tested)
-                || (facet2->newfacet && !facet2->tested)) {
-          if (qh MERGEindependent && mergetype <= MRGanglecoplanar)
-            continue;      /* perform independent sets of merges */
-        }
-        qh_merge_nonconvex(facet1, facet2, mergetype);
-        numdegenredun += qh_merge_degenredundant();
-        numnewmerges++;
-        wasmerge= True;
-        if (mergetype == MRGconcave)
-          numconcave++;
-        else /* MRGcoplanar or MRGanglecoplanar */
-          numcoplanar++;
-      } /* while setdellast */
-      if (qh POSTmerging && qh hull_dim <= qh_DIMreduceBuild
-      && numnewmerges > qh_MAXnewmerges) {
-        numnewmerges= 0;
-        qh_reducevertices();  /* otherwise large post merges too slow */
-      }
-      qh_getmergeset(qh newfacet_list); /* facet_mergeset */
-    } /* while mergeset */
-    if (qh VERTEXneighbors) {
-      isreduce= False;
-      if (qh hull_dim >=4 && qh POSTmerging) {
-        FORALLvertices
-          vertex->delridge= True;
-        isreduce= True;
-      }
-      if ((wasmerge || othermerge) && (!qh MERGEexact || qh POSTmerging)
-          && qh hull_dim <= qh_DIMreduceBuild) {
-        othermerge= False;
-        isreduce= True;
-      }
-      if (isreduce) {
-        if (qh_reducevertices()) {
-          qh_getmergeset(qh newfacet_list); /* facet_mergeset */
-          continue;
-        }
-      }
-    }
-    if (vneighbors && qh_test_vneighbors(/* qh newfacet_list */))
-      continue;
-    break;
-  } /* while (True) */
-  if (qh CHECKfrequently && !qh MERGEexact) {
-    qh old_randomdist= qh RANDOMdist;
-    qh RANDOMdist= False;
-    qh_checkconvex(qh newfacet_list, qh_ALGORITHMfault);
-    /* qh_checkconnect(); [this is slow and it changes the facet order] */
-    qh RANDOMdist= qh old_randomdist;
-  }
-  trace1((qh ferr, 1009, "qh_all_merges: merged %d coplanar facets %d concave facets and %d degen or redundant facets.\n",
-    numcoplanar, numconcave, numdegenredun));
-  if (qh IStracing >= 4 && qh num_facets < 50)
-    qh_printlists();
-} /* all_merges */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="appendmergeset">-</a>
-
-  qh_appendmergeset( facet, neighbor, mergetype, angle )
-    appends an entry to qh.facet_mergeset or qh.degen_mergeset
-
-    angle ignored if NULL or !qh.ANGLEmerge
-
-  returns:
-    merge appended to facet_mergeset or degen_mergeset
-      sets ->degenerate or ->redundant if degen_mergeset
-
-  see:
-    qh_test_appendmerge()
-
-  design:
-    allocate merge entry
-    if regular merge
-      append to qh.facet_mergeset
-    else if degenerate merge and qh.facet_mergeset is all degenerate
-      append to qh.degen_mergeset
-    else if degenerate merge
-      prepend to qh.degen_mergeset
-    else if redundant merge
-      append to qh.degen_mergeset
-*/
-void qh_appendmergeset(facetT *facet, facetT *neighbor, mergeType mergetype, realT *angle) {
-  mergeT *merge, *lastmerge;
-  void **freelistp; /* used !qh_NOmem */
-
-  if (facet->redundant)
-    return;
-  if (facet->degenerate && mergetype == MRGdegen)
-    return;
-  qh_memalloc_((int)sizeof(mergeT), freelistp, merge, mergeT);
-  merge->facet1= facet;
-  merge->facet2= neighbor;
-  merge->type= mergetype;
-  if (angle && qh ANGLEmerge)
-    merge->angle= *angle;
-  if (mergetype < MRGdegen)
-    qh_setappend(&(qh facet_mergeset), merge);
-  else if (mergetype == MRGdegen) {
-    facet->degenerate= True;
-    if (!(lastmerge= (mergeT*)qh_setlast(qh degen_mergeset))
-    || lastmerge->type == MRGdegen)
-      qh_setappend(&(qh degen_mergeset), merge);
-    else
-      qh_setaddnth(&(qh degen_mergeset), 0, merge);
-  }else if (mergetype == MRGredundant) {
-    facet->redundant= True;
-    qh_setappend(&(qh degen_mergeset), merge);
-  }else /* mergetype == MRGmirror */ {
-    if (facet->redundant || neighbor->redundant) {
-      qh_fprintf(qh ferr, 6092, "qhull error (qh_appendmergeset): facet f%d or f%d is already a mirrored facet\n",
-           facet->id, neighbor->id);
-      qh_errexit2 (qh_ERRqhull, facet, neighbor);
-    }
-    if (!qh_setequal(facet->vertices, neighbor->vertices)) {
-      qh_fprintf(qh ferr, 6093, "qhull error (qh_appendmergeset): mirrored facets f%d and f%d do not have the same vertices\n",
-           facet->id, neighbor->id);
-      qh_errexit2 (qh_ERRqhull, facet, neighbor);
-    }
-    facet->redundant= True;
-    neighbor->redundant= True;
-    qh_setappend(&(qh degen_mergeset), merge);
-  }
-} /* appendmergeset */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="basevertices">-</a>
-
-  qh_basevertices( samecycle )
-    return temporary set of base vertices for samecycle
-    samecycle is first facet in the cycle
-    assumes apex is SETfirst_( samecycle->vertices )
-
-  returns:
-    vertices(settemp)
-    all ->seen are cleared
-
-  notes:
-    uses qh_vertex_visit;
-
-  design:
-    for each facet in samecycle
-      for each unseen vertex in facet->vertices
-        append to result
-*/
-setT *qh_basevertices(facetT *samecycle) {
-  facetT *same;
-  vertexT *apex, *vertex, **vertexp;
-  setT *vertices= qh_settemp(qh TEMPsize);
-
-  apex= SETfirstt_(samecycle->vertices, vertexT);
-  apex->visitid= ++qh vertex_visit;
-  FORALLsame_cycle_(samecycle) {
-    if (same->mergeridge)
-      continue;
-    FOREACHvertex_(same->vertices) {
-      if (vertex->visitid != qh vertex_visit) {
-        qh_setappend(&vertices, vertex);
-        vertex->visitid= qh vertex_visit;
-        vertex->seen= False;
-      }
-    }
-  }
-  trace4((qh ferr, 4019, "qh_basevertices: found %d vertices\n",
-         qh_setsize(vertices)));
-  return vertices;
-} /* basevertices */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="checkconnect">-</a>
-
-  qh_checkconnect()
-    check that new facets are connected
-    new facets are on qh.newfacet_list
-
-  notes:
-    this is slow and it changes the order of the facets
-    uses qh.visit_id
-
-  design:
-    move first new facet to end of qh.facet_list
-    for all newly appended facets
-      append unvisited neighbors to end of qh.facet_list
-    for all new facets
-      report error if unvisited
-*/
-void qh_checkconnect(void /* qh newfacet_list */) {
-  facetT *facet, *newfacet, *errfacet= NULL, *neighbor, **neighborp;
-
-  facet= qh newfacet_list;
-  qh_removefacet(facet);
-  qh_appendfacet(facet);
-  facet->visitid= ++qh visit_id;
-  FORALLfacet_(facet) {
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid != qh visit_id) {
-        qh_removefacet(neighbor);
-        qh_appendfacet(neighbor);
-        neighbor->visitid= qh visit_id;
-      }
-    }
-  }
-  FORALLnew_facets {
-    if (newfacet->visitid == qh visit_id)
-      break;
-    qh_fprintf(qh ferr, 6094, "qhull error: f%d is not attached to the new facets\n",
-         newfacet->id);
-    errfacet= newfacet;
-  }
-  if (errfacet)
-    qh_errexit(qh_ERRqhull, errfacet, NULL);
-} /* checkconnect */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="checkzero">-</a>
-
-  qh_checkzero( testall )
-    check that facets are clearly convex for qh.DISTround with qh.MERGEexact
-
-    if testall,
-      test all facets for qh.MERGEexact post-merging
-    else
-      test qh.newfacet_list
-
-    if qh.MERGEexact,
-      allows coplanar ridges
-      skips convexity test while qh.ZEROall_ok
-
-  returns:
-    True if all facets !flipped, !dupridge, normal
-         if all horizon facets are simplicial
-         if all vertices are clearly below neighbor
-         if all opposite vertices of horizon are below
-    clears qh.ZEROall_ok if any problems or coplanar facets
-
-  notes:
-    uses qh.vertex_visit
-    horizon facets may define multiple new facets
-
-  design:
-    for all facets in qh.newfacet_list or qh.facet_list
-      check for flagged faults (flipped, etc.)
-    for all facets in qh.newfacet_list or qh.facet_list
-      for each neighbor of facet
-        skip horizon facets for qh.newfacet_list
-        test the opposite vertex
-      if qh.newfacet_list
-        test the other vertices in the facet's horizon facet
-*/
-boolT qh_checkzero(boolT testall) {
-  facetT *facet, *neighbor, **neighborp;
-  facetT *horizon, *facetlist;
-  int neighbor_i;
-  vertexT *vertex, **vertexp;
-  realT dist;
-
-  if (testall)
-    facetlist= qh facet_list;
-  else {
-    facetlist= qh newfacet_list;
-    FORALLfacet_(facetlist) {
-      horizon= SETfirstt_(facet->neighbors, facetT);
-      if (!horizon->simplicial)
-        goto LABELproblem;
-      if (facet->flipped || facet->dupridge || !facet->normal)
-        goto LABELproblem;
-    }
-    if (qh MERGEexact && qh ZEROall_ok) {
-      trace2((qh ferr, 2011, "qh_checkzero: skip convexity check until first pre-merge\n"));
-      return True;
-    }
-  }
-  FORALLfacet_(facetlist) {
-    qh vertex_visit++;
-    neighbor_i= 0;
-    horizon= NULL;
-    FOREACHneighbor_(facet) {
-      if (!neighbor_i && !testall) {
-        horizon= neighbor;
-        neighbor_i++;
-        continue; /* horizon facet tested in qh_findhorizon */
-      }
-      vertex= SETelemt_(facet->vertices, neighbor_i++, vertexT);
-      vertex->visitid= qh vertex_visit;
-      zzinc_(Zdistzero);
-      qh_distplane(vertex->point, neighbor, &dist);
-      if (dist >= -qh DISTround) {
-        qh ZEROall_ok= False;
-        if (!qh MERGEexact || testall || dist > qh DISTround)
-          goto LABELnonconvex;
-      }
-    }
-    if (!testall) {
-      FOREACHvertex_(horizon->vertices) {
-        if (vertex->visitid != qh vertex_visit) {
-          zzinc_(Zdistzero);
-          qh_distplane(vertex->point, facet, &dist);
-          if (dist >= -qh DISTround) {
-            qh ZEROall_ok= False;
-            if (!qh MERGEexact || dist > qh DISTround)
-              goto LABELnonconvex;
-          }
-          break;
-        }
-      }
-    }
-  }
-  trace2((qh ferr, 2012, "qh_checkzero: testall %d, facets are %s\n", testall,
-        (qh MERGEexact && !testall) ?
-           "not concave, flipped, or duplicate ridged" : "clearly convex"));
-  return True;
-
- LABELproblem:
-  qh ZEROall_ok= False;
-  trace2((qh ferr, 2013, "qh_checkzero: facet f%d needs pre-merging\n",
-       facet->id));
-  return False;
-
- LABELnonconvex:
-  trace2((qh ferr, 2014, "qh_checkzero: facet f%d and f%d are not clearly convex.  v%d dist %.2g\n",
-         facet->id, neighbor->id, vertex->id, dist));
-  return False;
-} /* checkzero */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="compareangle">-</a>
-
-  qh_compareangle( angle1, angle2 )
-    used by qsort() to order merges by angle
-*/
-int qh_compareangle(const void *p1, const void *p2) {
-  const mergeT *a= *((mergeT *const*)p1), *b= *((mergeT *const*)p2);
-
-  return((a->angle > b->angle) ? 1 : -1);
-} /* compareangle */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="comparemerge">-</a>
-
-  qh_comparemerge( merge1, merge2 )
-    used by qsort() to order merges
-*/
-int qh_comparemerge(const void *p1, const void *p2) {
-  const mergeT *a= *((mergeT *const*)p1), *b= *((mergeT *const*)p2);
-
-  return(a->type - b->type);
-} /* comparemerge */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="comparevisit">-</a>
-
-  qh_comparevisit( vertex1, vertex2 )
-    used by qsort() to order vertices by their visitid
-*/
-int qh_comparevisit(const void *p1, const void *p2) {
-  const vertexT *a= *((vertexT *const*)p1), *b= *((vertexT *const*)p2);
-
-  return(a->visitid - b->visitid);
-} /* comparevisit */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="copynonconvex">-</a>
-
-  qh_copynonconvex( atridge )
-    set non-convex flag on other ridges (if any) between same neighbors
-
-  notes:
-    may be faster if use smaller ridge set
-
-  design:
-    for each ridge of atridge's top facet
-      if ridge shares the same neighbor
-        set nonconvex flag
-*/
-void qh_copynonconvex(ridgeT *atridge) {
-  facetT *facet, *otherfacet;
-  ridgeT *ridge, **ridgep;
-
-  facet= atridge->top;
-  otherfacet= atridge->bottom;
-  FOREACHridge_(facet->ridges) {
-    if (otherfacet == otherfacet_(ridge, facet) && ridge != atridge) {
-      ridge->nonconvex= True;
-      trace4((qh ferr, 4020, "qh_copynonconvex: moved nonconvex flag from r%d to r%d\n",
-              atridge->id, ridge->id));
-      break;
-    }
-  }
-} /* copynonconvex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="degen_redundant_facet">-</a>
-
-  qh_degen_redundant_facet( facet )
-    check facet for degen. or redundancy
-
-  notes:
-    bumps vertex_visit
-    called if a facet was redundant but no longer is (qh_merge_degenredundant)
-    qh_appendmergeset() only appends first reference to facet (i.e., redundant)
-
-  see:
-    qh_degen_redundant_neighbors()
-
-  design:
-    test for redundant neighbor
-    test for degenerate facet
-*/
-void qh_degen_redundant_facet(facetT *facet) {
-  vertexT *vertex, **vertexp;
-  facetT *neighbor, **neighborp;
-
-  trace4((qh ferr, 4021, "qh_degen_redundant_facet: test facet f%d for degen/redundant\n",
-          facet->id));
-  FOREACHneighbor_(facet) {
-    qh vertex_visit++;
-    FOREACHvertex_(neighbor->vertices)
-      vertex->visitid= qh vertex_visit;
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->visitid != qh vertex_visit)
-        break;
-    }
-    if (!vertex) {
-      qh_appendmergeset(facet, neighbor, MRGredundant, NULL);
-      trace2((qh ferr, 2015, "qh_degen_redundant_facet: f%d is contained in f%d.  merge\n", facet->id, neighbor->id));
-      return;
-    }
-  }
-  if (qh_setsize(facet->neighbors) < qh hull_dim) {
-    qh_appendmergeset(facet, facet, MRGdegen, NULL);
-    trace2((qh ferr, 2016, "qh_degen_redundant_neighbors: f%d is degenerate.\n", facet->id));
-  }
-} /* degen_redundant_facet */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="degen_redundant_neighbors">-</a>
-
-  qh_degen_redundant_neighbors( facet, delfacet,  )
-    append degenerate and redundant neighbors to facet_mergeset
-    if delfacet,
-      only checks neighbors of both delfacet and facet
-    also checks current facet for degeneracy
-
-  notes:
-    bumps vertex_visit
-    called for each qh_mergefacet() and qh_mergecycle()
-    merge and statistics occur in merge_nonconvex
-    qh_appendmergeset() only appends first reference to facet (i.e., redundant)
-      it appends redundant facets after degenerate ones
-
-    a degenerate facet has fewer than hull_dim neighbors
-    a redundant facet's vertices is a subset of its neighbor's vertices
-    tests for redundant merges first (appendmergeset is nop for others)
-    in a merge, only needs to test neighbors of merged facet
-
-  see:
-    qh_merge_degenredundant() and qh_degen_redundant_facet()
-
-  design:
-    test for degenerate facet
-    test for redundant neighbor
-    test for degenerate neighbor
-*/
-void qh_degen_redundant_neighbors(facetT *facet, facetT *delfacet) {
-  vertexT *vertex, **vertexp;
-  facetT *neighbor, **neighborp;
-  int size;
-
-  trace4((qh ferr, 4022, "qh_degen_redundant_neighbors: test neighbors of f%d with delfacet f%d\n",
-          facet->id, getid_(delfacet)));
-  if ((size= qh_setsize(facet->neighbors)) < qh hull_dim) {
-    qh_appendmergeset(facet, facet, MRGdegen, NULL);
-    trace2((qh ferr, 2017, "qh_degen_redundant_neighbors: f%d is degenerate with %d neighbors.\n", facet->id, size));
-  }
-  if (!delfacet)
-    delfacet= facet;
-  qh vertex_visit++;
-  FOREACHvertex_(facet->vertices)
-    vertex->visitid= qh vertex_visit;
-  FOREACHneighbor_(delfacet) {
-    /* uses early out instead of checking vertex count */
-    if (neighbor == facet)
-      continue;
-    FOREACHvertex_(neighbor->vertices) {
-      if (vertex->visitid != qh vertex_visit)
-        break;
-    }
-    if (!vertex) {
-      qh_appendmergeset(neighbor, facet, MRGredundant, NULL);
-      trace2((qh ferr, 2018, "qh_degen_redundant_neighbors: f%d is contained in f%d.  merge\n", neighbor->id, facet->id));
-    }
-  }
-  FOREACHneighbor_(delfacet) {   /* redundant merges occur first */
-    if (neighbor == facet)
-      continue;
-    if ((size= qh_setsize(neighbor->neighbors)) < qh hull_dim) {
-      qh_appendmergeset(neighbor, neighbor, MRGdegen, NULL);
-      trace2((qh ferr, 2019, "qh_degen_redundant_neighbors: f%d is degenerate with %d neighbors.  Neighbor of f%d.\n", neighbor->id, size, facet->id));
-    }
-  }
-} /* degen_redundant_neighbors */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="find_newvertex">-</a>
-
-  qh_find_newvertex( oldvertex, vertices, ridges )
-    locate new vertex for renaming old vertex
-    vertices is a set of possible new vertices
-      vertices sorted by number of deleted ridges
-
-  returns:
-    newvertex or NULL
-      each ridge includes both vertex and oldvertex
-    vertices sorted by number of deleted ridges
-
-  notes:
-    modifies vertex->visitid
-    new vertex is in one of the ridges
-    renaming will not cause a duplicate ridge
-    renaming will minimize the number of deleted ridges
-    newvertex may not be adjacent in the dual (though unlikely)
-
-  design:
-    for each vertex in vertices
-      set vertex->visitid to number of references in ridges
-    remove unvisited vertices
-    set qh.vertex_visit above all possible values
-    sort vertices by number of references in ridges
-    add each ridge to qh.hash_table
-    for each vertex in vertices
-      look for a vertex that would not cause a duplicate ridge after a rename
-*/
-vertexT *qh_find_newvertex(vertexT *oldvertex, setT *vertices, setT *ridges) {
-  vertexT *vertex, **vertexp;
-  setT *newridges;
-  ridgeT *ridge, **ridgep;
-  int size, hashsize;
-  int hash;
-
-#ifndef qh_NOtrace
-  if (qh IStracing >= 4) {
-    qh_fprintf(qh ferr, 8063, "qh_find_newvertex: find new vertex for v%d from ",
-             oldvertex->id);
-    FOREACHvertex_(vertices)
-      qh_fprintf(qh ferr, 8064, "v%d ", vertex->id);
-    FOREACHridge_(ridges)
-      qh_fprintf(qh ferr, 8065, "r%d ", ridge->id);
-    qh_fprintf(qh ferr, 8066, "\n");
-  }
-#endif
-  FOREACHvertex_(vertices)
-    vertex->visitid= 0;
-  FOREACHridge_(ridges) {
-    FOREACHvertex_(ridge->vertices)
-      vertex->visitid++;
-  }
-  FOREACHvertex_(vertices) {
-    if (!vertex->visitid) {
-      qh_setdelnth(vertices, SETindex_(vertices,vertex));
-      vertexp--; /* repeat since deleted this vertex */
-    }
-  }
-  qh vertex_visit += (unsigned int)qh_setsize(ridges);
-  if (!qh_setsize(vertices)) {
-    trace4((qh ferr, 4023, "qh_find_newvertex: vertices not in ridges for v%d\n",
-            oldvertex->id));
-    return NULL;
-  }
-  qsort(SETaddr_(vertices, vertexT), (size_t)qh_setsize(vertices),
-                sizeof(vertexT *), qh_comparevisit);
-  /* can now use qh vertex_visit */
-  if (qh PRINTstatistics) {
-    size= qh_setsize(vertices);
-    zinc_(Zintersect);
-    zadd_(Zintersecttot, size);
-    zmax_(Zintersectmax, size);
-  }
-  hashsize= qh_newhashtable(qh_setsize(ridges));
-  FOREACHridge_(ridges)
-    qh_hashridge(qh hash_table, hashsize, ridge, oldvertex);
-  FOREACHvertex_(vertices) {
-    newridges= qh_vertexridges(vertex);
-    FOREACHridge_(newridges) {
-      if (qh_hashridge_find(qh hash_table, hashsize, ridge, vertex, oldvertex, &hash)) {
-        zinc_(Zdupridge);
-        break;
-      }
-    }
-    qh_settempfree(&newridges);
-    if (!ridge)
-      break;  /* found a rename */
-  }
-  if (vertex) {
-    /* counted in qh_renamevertex */
-    trace2((qh ferr, 2020, "qh_find_newvertex: found v%d for old v%d from %d vertices and %d ridges.\n",
-      vertex->id, oldvertex->id, qh_setsize(vertices), qh_setsize(ridges)));
-  }else {
-    zinc_(Zfindfail);
-    trace0((qh ferr, 14, "qh_find_newvertex: no vertex for renaming v%d(all duplicated ridges) during p%d\n",
-      oldvertex->id, qh furthest_id));
-  }
-  qh_setfree(&qh hash_table);
-  return vertex;
-} /* find_newvertex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="findbest_test">-</a>
-
-  qh_findbest_test( testcentrum, facet, neighbor, bestfacet, dist, mindist, maxdist )
-    test neighbor of facet for qh_findbestneighbor()
-    if testcentrum,
-      tests centrum (assumes it is defined)
-    else
-      tests vertices
-
-  returns:
-    if a better facet (i.e., vertices/centrum of facet closer to neighbor)
-      updates bestfacet, dist, mindist, and maxdist
-*/
-void qh_findbest_test(boolT testcentrum, facetT *facet, facetT *neighbor,
-      facetT **bestfacet, realT *distp, realT *mindistp, realT *maxdistp) {
-  realT dist, mindist, maxdist;
-
-  if (testcentrum) {
-    zzinc_(Zbestdist);
-    qh_distplane(facet->center, neighbor, &dist);
-    dist *= qh hull_dim; /* estimate furthest vertex */
-    if (dist < 0) {
-      maxdist= 0;
-      mindist= dist;
-      dist= -dist;
-    }else {
-      mindist= 0;
-      maxdist= dist;
-    }
-  }else
-    dist= qh_getdistance(facet, neighbor, &mindist, &maxdist);
-  if (dist < *distp) {
-    *bestfacet= neighbor;
-    *mindistp= mindist;
-    *maxdistp= maxdist;
-    *distp= dist;
-  }
-} /* findbest_test */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="findbestneighbor">-</a>
-
-  qh_findbestneighbor( facet, dist, mindist, maxdist )
-    finds best neighbor (least dist) of a facet for merging
-
-  returns:
-    returns min and max distances and their max absolute value
-
-  notes:
-    avoids merging old into new
-    assumes ridge->nonconvex only set on one ridge between a pair of facets
-    could use an early out predicate but not worth it
-
-  design:
-    if a large facet
-      will test centrum
-    else
-      will test vertices
-    if a large facet
-      test nonconvex neighbors for best merge
-    else
-      test all neighbors for the best merge
-    if testing centrum
-      get distance information
-*/
-facetT *qh_findbestneighbor(facetT *facet, realT *distp, realT *mindistp, realT *maxdistp) {
-  facetT *neighbor, **neighborp, *bestfacet= NULL;
-  ridgeT *ridge, **ridgep;
-  boolT nonconvex= True, testcentrum= False;
-  int size= qh_setsize(facet->vertices);
-
-  *distp= REALmax;
-  if (size > qh_BESTcentrum2 * qh hull_dim + qh_BESTcentrum) {
-    testcentrum= True;
-    zinc_(Zbestcentrum);
-    if (!facet->center)
-       facet->center= qh_getcentrum(facet);
-  }
-  if (size > qh hull_dim + qh_BESTnonconvex) {
-    FOREACHridge_(facet->ridges) {
-      if (ridge->nonconvex) {
-        neighbor= otherfacet_(ridge, facet);
-        qh_findbest_test(testcentrum, facet, neighbor,
-                          &bestfacet, distp, mindistp, maxdistp);
-      }
-    }
-  }
-  if (!bestfacet) {
-    nonconvex= False;
-    FOREACHneighbor_(facet)
-      qh_findbest_test(testcentrum, facet, neighbor,
-                        &bestfacet, distp, mindistp, maxdistp);
-  }
-  if (!bestfacet) {
-    qh_fprintf(qh ferr, 6095, "qhull internal error (qh_findbestneighbor): no neighbors for f%d\n", facet->id);
-
-    qh_errexit(qh_ERRqhull, facet, NULL);
-  }
-  if (testcentrum)
-    qh_getdistance(facet, bestfacet, mindistp, maxdistp);
-  trace3((qh ferr, 3002, "qh_findbestneighbor: f%d is best neighbor for f%d testcentrum? %d nonconvex? %d dist %2.2g min %2.2g max %2.2g\n",
-     bestfacet->id, facet->id, testcentrum, nonconvex, *distp, *mindistp, *maxdistp));
-  return(bestfacet);
-} /* findbestneighbor */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="flippedmerges">-</a>
-
-  qh_flippedmerges( facetlist, wasmerge )
-    merge flipped facets into best neighbor
-    assumes qh.facet_mergeset at top of temporary stack
-
-  returns:
-    no flipped facets on facetlist
-    sets wasmerge if merge occurred
-    degen/redundant merges passed through
-
-  notes:
-    othermerges not needed since qh.facet_mergeset is empty before & after
-      keep it in case of change
-
-  design:
-    append flipped facets to qh.facetmergeset
-    for each flipped merge
-      find best neighbor
-      merge facet into neighbor
-      merge degenerate and redundant facets
-    remove flipped merges from qh.facet_mergeset
-*/
-void qh_flippedmerges(facetT *facetlist, boolT *wasmerge) {
-  facetT *facet, *neighbor, *facet1;
-  realT dist, mindist, maxdist;
-  mergeT *merge, **mergep;
-  setT *othermerges;
-  int nummerge=0;
-
-  trace4((qh ferr, 4024, "qh_flippedmerges: begin\n"));
-  FORALLfacet_(facetlist) {
-    if (facet->flipped && !facet->visible)
-      qh_appendmergeset(facet, facet, MRGflip, NULL);
-  }
-  othermerges= qh_settemppop(); /* was facet_mergeset */
-  qh facet_mergeset= qh_settemp(qh TEMPsize);
-  qh_settemppush(othermerges);
-  FOREACHmerge_(othermerges) {
-    facet1= merge->facet1;
-    if (merge->type != MRGflip || facet1->visible)
-      continue;
-    if (qh TRACEmerge-1 == zzval_(Ztotmerge))
-      qhmem.IStracing= qh IStracing= qh TRACElevel;
-    neighbor= qh_findbestneighbor(facet1, &dist, &mindist, &maxdist);
-    trace0((qh ferr, 15, "qh_flippedmerges: merge flipped f%d into f%d dist %2.2g during p%d\n",
-      facet1->id, neighbor->id, dist, qh furthest_id));
-    qh_mergefacet(facet1, neighbor, &mindist, &maxdist, !qh_MERGEapex);
-    nummerge++;
-    if (qh PRINTstatistics) {
-      zinc_(Zflipped);
-      wadd_(Wflippedtot, dist);
-      wmax_(Wflippedmax, dist);
-    }
-    qh_merge_degenredundant();
-  }
-  FOREACHmerge_(othermerges) {
-    if (merge->facet1->visible || merge->facet2->visible)
-      qh_memfree(merge, (int)sizeof(mergeT));
-    else
-      qh_setappend(&qh facet_mergeset, merge);
-  }
-  qh_settempfree(&othermerges);
-  if (nummerge)
-    *wasmerge= True;
-  trace1((qh ferr, 1010, "qh_flippedmerges: merged %d flipped facets into a good neighbor\n", nummerge));
-} /* flippedmerges */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="forcedmerges">-</a>
-
-  qh_forcedmerges( wasmerge )
-    merge duplicated ridges
-
-  returns:
-    removes all duplicate ridges on facet_mergeset
-    wasmerge set if merge
-    qh.facet_mergeset may include non-forced merges(none for now)
-    qh.degen_mergeset includes degen/redun merges
-
-  notes:
-    duplicate ridges occur when the horizon is pinched,
-        i.e. a subridge occurs in more than two horizon ridges.
-     could rename vertices that pinch the horizon
-    assumes qh_merge_degenredundant() has not be called
-    othermerges isn't needed since facet_mergeset is empty afterwards
-      keep it in case of change
-
-  design:
-    for each duplicate ridge
-      find current facets by chasing f.replace links
-      determine best direction for facet
-      merge one facet into the other
-      remove duplicate ridges from qh.facet_mergeset
-*/
-void qh_forcedmerges(boolT *wasmerge) {
-  facetT *facet1, *facet2;
-  mergeT *merge, **mergep;
-  realT dist1, dist2, mindist1, mindist2, maxdist1, maxdist2;
-  setT *othermerges;
-  int nummerge=0, numflip=0;
-
-  if (qh TRACEmerge-1 == zzval_(Ztotmerge))
-    qhmem.IStracing= qh IStracing= qh TRACElevel;
-  trace4((qh ferr, 4025, "qh_forcedmerges: begin\n"));
-  othermerges= qh_settemppop(); /* was facet_mergeset */
-  qh facet_mergeset= qh_settemp(qh TEMPsize);
-  qh_settemppush(othermerges);
-  FOREACHmerge_(othermerges) {
-    if (merge->type != MRGridge)
-        continue;
-    facet1= merge->facet1;
-    facet2= merge->facet2;
-    while (facet1->visible)      /* must exist, no qh_merge_degenredunant */
-      facet1= facet1->f.replace; /* previously merged facet */
-    while (facet2->visible)
-      facet2= facet2->f.replace; /* previously merged facet */
-    if (facet1 == facet2)
-      continue;
-    if (!qh_setin(facet2->neighbors, facet1)) {
-      qh_fprintf(qh ferr, 6096, "qhull internal error (qh_forcedmerges): f%d and f%d had a duplicate ridge but as f%d and f%d they are no longer neighbors\n",
-               merge->facet1->id, merge->facet2->id, facet1->id, facet2->id);
-      qh_errexit2 (qh_ERRqhull, facet1, facet2);
-    }
-    if (qh TRACEmerge-1 == zzval_(Ztotmerge))
-      qhmem.IStracing= qh IStracing= qh TRACElevel;
-    dist1= qh_getdistance(facet1, facet2, &mindist1, &maxdist1);
-    dist2= qh_getdistance(facet2, facet1, &mindist2, &maxdist2);
-    trace0((qh ferr, 16, "qh_forcedmerges: duplicate ridge between f%d and f%d, dist %2.2g and reverse dist %2.2g during p%d\n",
-            facet1->id, facet2->id, dist1, dist2, qh furthest_id));
-    if (dist1 < dist2)
-      qh_mergefacet(facet1, facet2, &mindist1, &maxdist1, !qh_MERGEapex);
-    else {
-      qh_mergefacet(facet2, facet1, &mindist2, &maxdist2, !qh_MERGEapex);
-      dist1= dist2;
-      facet1= facet2;
-    }
-    if (facet1->flipped) {
-      zinc_(Zmergeflipdup);
-      numflip++;
-    }else
-      nummerge++;
-    if (qh PRINTstatistics) {
-      zinc_(Zduplicate);
-      wadd_(Wduplicatetot, dist1);
-      wmax_(Wduplicatemax, dist1);
-    }
-  }
-  FOREACHmerge_(othermerges) {
-    if (merge->type == MRGridge)
-      qh_memfree(merge, (int)sizeof(mergeT));
-    else
-      qh_setappend(&qh facet_mergeset, merge);
-  }
-  qh_settempfree(&othermerges);
-  if (nummerge)
-    *wasmerge= True;
-  trace1((qh ferr, 1011, "qh_forcedmerges: merged %d facets and %d flipped facets across duplicated ridges\n",
-                nummerge, numflip));
-} /* forcedmerges */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="getmergeset">-</a>
-
-  qh_getmergeset( facetlist )
-    determines nonconvex facets on facetlist
-    tests !tested ridges and nonconvex ridges of !tested facets
-
-  returns:
-    returns sorted qh.facet_mergeset of facet-neighbor pairs to be merged
-    all ridges tested
-
-  notes:
-    assumes no nonconvex ridges with both facets tested
-    uses facet->tested/ridge->tested to prevent duplicate tests
-    can not limit tests to modified ridges since the centrum changed
-    uses qh.visit_id
-
-  see:
-    qh_getmergeset_initial()
-
-  design:
-    for each facet on facetlist
-      for each ridge of facet
-        if untested ridge
-          test ridge for convexity
-          if non-convex
-            append ridge to qh.facet_mergeset
-    sort qh.facet_mergeset by angle
-*/
-void qh_getmergeset(facetT *facetlist) {
-  facetT *facet, *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-  int nummerges;
-
-  nummerges= qh_setsize(qh facet_mergeset);
-  trace4((qh ferr, 4026, "qh_getmergeset: started.\n"));
-  qh visit_id++;
-  FORALLfacet_(facetlist) {
-    if (facet->tested)
-      continue;
-    facet->visitid= qh visit_id;
-    facet->tested= True;  /* must be non-simplicial due to merge */
-    FOREACHneighbor_(facet)
-      neighbor->seen= False;
-    FOREACHridge_(facet->ridges) {
-      if (ridge->tested && !ridge->nonconvex)
-        continue;
-      /* if tested & nonconvex, need to append merge */
-      neighbor= otherfacet_(ridge, facet);
-      if (neighbor->seen) {
-        ridge->tested= True;
-        ridge->nonconvex= False;
-      }else if (neighbor->visitid != qh visit_id) {
-        ridge->tested= True;
-        ridge->nonconvex= False;
-        neighbor->seen= True;      /* only one ridge is marked nonconvex */
-        if (qh_test_appendmerge(facet, neighbor))
-          ridge->nonconvex= True;
-      }
-    }
-  }
-  nummerges= qh_setsize(qh facet_mergeset);
-  if (qh ANGLEmerge)
-    qsort(SETaddr_(qh facet_mergeset, mergeT), (size_t)nummerges, sizeof(mergeT *), qh_compareangle);
-  else
-    qsort(SETaddr_(qh facet_mergeset, mergeT), (size_t)nummerges, sizeof(mergeT *), qh_comparemerge);
-  if (qh POSTmerging) {
-    zadd_(Zmergesettot2, nummerges);
-  }else {
-    zadd_(Zmergesettot, nummerges);
-    zmax_(Zmergesetmax, nummerges);
-  }
-  trace2((qh ferr, 2021, "qh_getmergeset: %d merges found\n", nummerges));
-} /* getmergeset */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="getmergeset_initial">-</a>
-
-  qh_getmergeset_initial( facetlist )
-    determine initial qh.facet_mergeset for facets
-    tests all facet/neighbor pairs on facetlist
-
-  returns:
-    sorted qh.facet_mergeset with nonconvex ridges
-    sets facet->tested, ridge->tested, and ridge->nonconvex
-
-  notes:
-    uses visit_id, assumes ridge->nonconvex is False
-
-  see:
-    qh_getmergeset()
-
-  design:
-    for each facet on facetlist
-      for each untested neighbor of facet
-        test facet and neighbor for convexity
-        if non-convex
-          append merge to qh.facet_mergeset
-          mark one of the ridges as nonconvex
-    sort qh.facet_mergeset by angle
-*/
-void qh_getmergeset_initial(facetT *facetlist) {
-  facetT *facet, *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-  int nummerges;
-
-  qh visit_id++;
-  FORALLfacet_(facetlist) {
-    facet->visitid= qh visit_id;
-    facet->tested= True;
-    FOREACHneighbor_(facet) {
-      if (neighbor->visitid != qh visit_id) {
-        if (qh_test_appendmerge(facet, neighbor)) {
-          FOREACHridge_(neighbor->ridges) {
-            if (facet == otherfacet_(ridge, neighbor)) {
-              ridge->nonconvex= True;
-              break;    /* only one ridge is marked nonconvex */
-            }
-          }
-        }
-      }
-    }
-    FOREACHridge_(facet->ridges)
-      ridge->tested= True;
-  }
-  nummerges= qh_setsize(qh facet_mergeset);
-  if (qh ANGLEmerge)
-    qsort(SETaddr_(qh facet_mergeset, mergeT), (size_t)nummerges, sizeof(mergeT *), qh_compareangle);
-  else
-    qsort(SETaddr_(qh facet_mergeset, mergeT), (size_t)nummerges, sizeof(mergeT *), qh_comparemerge);
-  if (qh POSTmerging) {
-    zadd_(Zmergeinittot2, nummerges);
-  }else {
-    zadd_(Zmergeinittot, nummerges);
-    zmax_(Zmergeinitmax, nummerges);
-  }
-  trace2((qh ferr, 2022, "qh_getmergeset_initial: %d merges found\n", nummerges));
-} /* getmergeset_initial */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="hashridge">-</a>
-
-  qh_hashridge( hashtable, hashsize, ridge, oldvertex )
-    add ridge to hashtable without oldvertex
-
-  notes:
-    assumes hashtable is large enough
-
-  design:
-    determine hash value for ridge without oldvertex
-    find next empty slot for ridge
-*/
-void qh_hashridge(setT *hashtable, int hashsize, ridgeT *ridge, vertexT *oldvertex) {
-  int hash;
-  ridgeT *ridgeA;
-
-  hash= qh_gethash(hashsize, ridge->vertices, qh hull_dim-1, 0, oldvertex);
-  while (True) {
-    if (!(ridgeA= SETelemt_(hashtable, hash, ridgeT))) {
-      SETelem_(hashtable, hash)= ridge;
-      break;
-    }else if (ridgeA == ridge)
-      break;
-    if (++hash == hashsize)
-      hash= 0;
-  }
-} /* hashridge */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="hashridge_find">-</a>
-
-  qh_hashridge_find( hashtable, hashsize, ridge, vertex, oldvertex, hashslot )
-    returns matching ridge without oldvertex in hashtable
-      for ridge without vertex
-    if oldvertex is NULL
-      matches with any one skip
-
-  returns:
-    matching ridge or NULL
-    if no match,
-      if ridge already in   table
-        hashslot= -1
-      else
-        hashslot= next NULL index
-
-  notes:
-    assumes hashtable is large enough
-    can't match ridge to itself
-
-  design:
-    get hash value for ridge without vertex
-    for each hashslot
-      return match if ridge matches ridgeA without oldvertex
-*/
-ridgeT *qh_hashridge_find(setT *hashtable, int hashsize, ridgeT *ridge,
-              vertexT *vertex, vertexT *oldvertex, int *hashslot) {
-  int hash;
-  ridgeT *ridgeA;
-
-  *hashslot= 0;
-  zinc_(Zhashridge);
-  hash= qh_gethash(hashsize, ridge->vertices, qh hull_dim-1, 0, vertex);
-  while ((ridgeA= SETelemt_(hashtable, hash, ridgeT))) {
-    if (ridgeA == ridge)
-      *hashslot= -1;
-    else {
-      zinc_(Zhashridgetest);
-      if (qh_setequal_except(ridge->vertices, vertex, ridgeA->vertices, oldvertex))
-        return ridgeA;
-    }
-    if (++hash == hashsize)
-      hash= 0;
-  }
-  if (!*hashslot)
-    *hashslot= hash;
-  return NULL;
-} /* hashridge_find */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="makeridges">-</a>
-
-  qh_makeridges( facet )
-    creates explicit ridges between simplicial facets
-
-  returns:
-    facet with ridges and without qh_MERGEridge
-    ->simplicial is False
-
-  notes:
-    allows qh_MERGEridge flag
-    uses existing ridges
-    duplicate neighbors ok if ridges already exist (qh_mergecycle_ridges)
-
-  see:
-    qh_mergecycle_ridges()
-
-  design:
-    look for qh_MERGEridge neighbors
-    mark neighbors that already have ridges
-    for each unprocessed neighbor of facet
-      create a ridge for neighbor and facet
-    if any qh_MERGEridge neighbors
-      delete qh_MERGEridge flags (already handled by qh_mark_dupridges)
-*/
-void qh_makeridges(facetT *facet) {
-  facetT *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-  int neighbor_i, neighbor_n;
-  boolT toporient, mergeridge= False;
-
-  if (!facet->simplicial)
-    return;
-  trace4((qh ferr, 4027, "qh_makeridges: make ridges for f%d\n", facet->id));
-  facet->simplicial= False;
-  FOREACHneighbor_(facet) {
-    if (neighbor == qh_MERGEridge)
-      mergeridge= True;
-    else
-      neighbor->seen= False;
-  }
-  FOREACHridge_(facet->ridges)
-    otherfacet_(ridge, facet)->seen= True;
-  FOREACHneighbor_i_(facet) {
-    if (neighbor == qh_MERGEridge)
-      continue;  /* fixed by qh_mark_dupridges */
-    else if (!neighbor->seen) {  /* no current ridges */
-      ridge= qh_newridge();
-      ridge->vertices= qh_setnew_delnthsorted(facet->vertices, qh hull_dim,
-                                                          neighbor_i, 0);
-      toporient= facet->toporient ^ (neighbor_i & 0x1);
-      if (toporient) {
-        ridge->top= facet;
-        ridge->bottom= neighbor;
-      }else {
-        ridge->top= neighbor;
-        ridge->bottom= facet;
-      }
-#if 0 /* this also works */
-      flip= (facet->toporient ^ neighbor->toporient)^(skip1 & 0x1) ^ (skip2 & 0x1);
-      if (facet->toporient ^ (skip1 & 0x1) ^ flip) {
-        ridge->top= neighbor;
-        ridge->bottom= facet;
-      }else {
-        ridge->top= facet;
-        ridge->bottom= neighbor;
-      }
-#endif
-      qh_setappend(&(facet->ridges), ridge);
-      qh_setappend(&(neighbor->ridges), ridge);
-    }
-  }
-  if (mergeridge) {
-    while (qh_setdel(facet->neighbors, qh_MERGEridge))
-      ; /* delete each one */
-  }
-} /* makeridges */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mark_dupridges">-</a>
-
-  qh_mark_dupridges( facetlist )
-    add duplicated ridges to qh.facet_mergeset
-    facet->dupridge is true
-
-  returns:
-    duplicate ridges on qh.facet_mergeset
-    ->mergeridge/->mergeridge2 set
-    duplicate ridges marked by qh_MERGEridge and both sides facet->dupridge
-    no MERGEridges in neighbor sets
-
-  notes:
-    duplicate ridges occur when the horizon is pinched,
-        i.e. a subridge occurs in more than two horizon ridges.
-    could rename vertices that pinch the horizon
-    uses qh.visit_id
-
-  design:
-    for all facets on facetlist
-      if facet contains a duplicate ridge
-        for each neighbor of facet
-          if neighbor marked qh_MERGEridge (one side of the merge)
-            set facet->mergeridge
-          else
-            if neighbor contains a duplicate ridge
-            and the back link is qh_MERGEridge
-              append duplicate ridge to qh.facet_mergeset
-   for each duplicate ridge
-     make ridge sets in preparation for merging
-     remove qh_MERGEridge from neighbor set
-   for each duplicate ridge
-     restore the missing neighbor from the neighbor set that was qh_MERGEridge
-     add the missing ridge for this neighbor
-*/
-void qh_mark_dupridges(facetT *facetlist) {
-  facetT *facet, *neighbor, **neighborp;
-  int nummerge=0;
-  mergeT *merge, **mergep;
-
-
-  trace4((qh ferr, 4028, "qh_mark_dupridges: identify duplicate ridges\n"));
-  FORALLfacet_(facetlist) {
-    if (facet->dupridge) {
-      FOREACHneighbor_(facet) {
-        if (neighbor == qh_MERGEridge) {
-          facet->mergeridge= True;
-          continue;
-        }
-        if (neighbor->dupridge
-        && !qh_setin(neighbor->neighbors, facet)) { /* qh_MERGEridge */
-          qh_appendmergeset(facet, neighbor, MRGridge, NULL);
-          facet->mergeridge2= True;
-          facet->mergeridge= True;
-          nummerge++;
-        }
-      }
-    }
-  }
-  if (!nummerge)
-    return;
-  FORALLfacet_(facetlist) {            /* gets rid of qh_MERGEridge */
-    if (facet->mergeridge && !facet->mergeridge2)
-      qh_makeridges(facet);
-  }
-  FOREACHmerge_(qh facet_mergeset) {   /* restore the missing neighbors */
-    if (merge->type == MRGridge) {
-      qh_setappend(&merge->facet2->neighbors, merge->facet1);
-      qh_makeridges(merge->facet1);   /* and the missing ridges */
-    }
-  }
-  trace1((qh ferr, 1012, "qh_mark_dupridges: found %d duplicated ridges\n",
-                nummerge));
-} /* mark_dupridges */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="maydropneighbor">-</a>
-
-  qh_maydropneighbor( facet )
-    drop neighbor relationship if no ridge between facet and neighbor
-
-  returns:
-    neighbor sets updated
-    appends degenerate facets to qh.facet_mergeset
-
-  notes:
-    won't cause redundant facets since vertex inclusion is the same
-    may drop vertex and neighbor if no ridge
-    uses qh.visit_id
-
-  design:
-    visit all neighbors with ridges
-    for each unvisited neighbor of facet
-      delete neighbor and facet from the neighbor sets
-      if neighbor becomes degenerate
-        append neighbor to qh.degen_mergeset
-    if facet is degenerate
-      append facet to qh.degen_mergeset
-*/
-void qh_maydropneighbor(facetT *facet) {
-  ridgeT *ridge, **ridgep;
-  realT angledegen= qh_ANGLEdegen;
-  facetT *neighbor, **neighborp;
-
-  qh visit_id++;
-  trace4((qh ferr, 4029, "qh_maydropneighbor: test f%d for no ridges to a neighbor\n",
-          facet->id));
-  FOREACHridge_(facet->ridges) {
-    ridge->top->visitid= qh visit_id;
-    ridge->bottom->visitid= qh visit_id;
-  }
-  FOREACHneighbor_(facet) {
-    if (neighbor->visitid != qh visit_id) {
-      trace0((qh ferr, 17, "qh_maydropneighbor: facets f%d and f%d are no longer neighbors during p%d\n",
-            facet->id, neighbor->id, qh furthest_id));
-      zinc_(Zdropneighbor);
-      qh_setdel(facet->neighbors, neighbor);
-      neighborp--;  /* repeat, deleted a neighbor */
-      qh_setdel(neighbor->neighbors, facet);
-      if (qh_setsize(neighbor->neighbors) < qh hull_dim) {
-        zinc_(Zdropdegen);
-        qh_appendmergeset(neighbor, neighbor, MRGdegen, &angledegen);
-        trace2((qh ferr, 2023, "qh_maydropneighbors: f%d is degenerate.\n", neighbor->id));
-      }
-    }
-  }
-  if (qh_setsize(facet->neighbors) < qh hull_dim) {
-    zinc_(Zdropdegen);
-    qh_appendmergeset(facet, facet, MRGdegen, &angledegen);
-    trace2((qh ferr, 2024, "qh_maydropneighbors: f%d is degenerate.\n", facet->id));
-  }
-} /* maydropneighbor */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="merge_degenredundant">-</a>
-
-  qh_merge_degenredundant()
-    merge all degenerate and redundant facets
-    qh.degen_mergeset contains merges from qh_degen_redundant_neighbors()
-
-  returns:
-    number of merges performed
-    resets facet->degenerate/redundant
-    if deleted (visible) facet has no neighbors
-      sets ->f.replace to NULL
-
-  notes:
-    redundant merges happen before degenerate ones
-    merging and renaming vertices can result in degen/redundant facets
-
-  design:
-    for each merge on qh.degen_mergeset
-      if redundant merge
-        if non-redundant facet merged into redundant facet
-          recheck facet for redundancy
-        else
-          merge redundant facet into other facet
-*/
-int qh_merge_degenredundant(void) {
-  int size;
-  mergeT *merge;
-  facetT *bestneighbor, *facet1, *facet2;
-  realT dist, mindist, maxdist;
-  vertexT *vertex, **vertexp;
-  int nummerges= 0;
-  mergeType mergetype;
-
-  while ((merge= (mergeT*)qh_setdellast(qh degen_mergeset))) {
-    facet1= merge->facet1;
-    facet2= merge->facet2;
-    mergetype= merge->type;
-    qh_memfree(merge, (int)sizeof(mergeT));
-    if (facet1->visible)
-      continue;
-    facet1->degenerate= False;
-    facet1->redundant= False;
-    if (qh TRACEmerge-1 == zzval_(Ztotmerge))
-      qhmem.IStracing= qh IStracing= qh TRACElevel;
-    if (mergetype == MRGredundant) {
-      zinc_(Zneighbor);
-      while (facet2->visible) {
-        if (!facet2->f.replace) {
-          qh_fprintf(qh ferr, 6097, "qhull internal error (qh_merge_degenredunant): f%d redundant but f%d has no replacement\n",
-               facet1->id, facet2->id);
-          qh_errexit2 (qh_ERRqhull, facet1, facet2);
-        }
-        facet2= facet2->f.replace;
-      }
-      if (facet1 == facet2) {
-        qh_degen_redundant_facet(facet1); /* in case of others */
-        continue;
-      }
-      trace2((qh ferr, 2025, "qh_merge_degenredundant: facet f%d is contained in f%d, will merge\n",
-            facet1->id, facet2->id));
-      qh_mergefacet(facet1, facet2, NULL, NULL, !qh_MERGEapex);
-      /* merge distance is already accounted for */
-      nummerges++;
-    }else {  /* mergetype == MRGdegen, other merges may have fixed */
-      if (!(size= qh_setsize(facet1->neighbors))) {
-        zinc_(Zdelfacetdup);
-        trace2((qh ferr, 2026, "qh_merge_degenredundant: facet f%d has no neighbors.  Deleted\n", facet1->id));
-        qh_willdelete(facet1, NULL);
-        FOREACHvertex_(facet1->vertices) {
-          qh_setdel(vertex->neighbors, facet1);
-          if (!SETfirst_(vertex->neighbors)) {
-            zinc_(Zdegenvertex);
-            trace2((qh ferr, 2027, "qh_merge_degenredundant: deleted v%d because f%d has no neighbors\n",
-                 vertex->id, facet1->id));
-            vertex->deleted= True;
-            qh_setappend(&qh del_vertices, vertex);
-          }
-        }
-        nummerges++;
-      }else if (size < qh hull_dim) {
-        bestneighbor= qh_findbestneighbor(facet1, &dist, &mindist, &maxdist);
-        trace2((qh ferr, 2028, "qh_merge_degenredundant: facet f%d has %d neighbors, merge into f%d dist %2.2g\n",
-              facet1->id, size, bestneighbor->id, dist));
-        qh_mergefacet(facet1, bestneighbor, &mindist, &maxdist, !qh_MERGEapex);
-        nummerges++;
-        if (qh PRINTstatistics) {
-          zinc_(Zdegen);
-          wadd_(Wdegentot, dist);
-          wmax_(Wdegenmax, dist);
-        }
-      } /* else, another merge fixed the degeneracy and redundancy tested */
-    }
-  }
-  return nummerges;
-} /* merge_degenredundant */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="merge_nonconvex">-</a>
-
-  qh_merge_nonconvex( facet1, facet2, mergetype )
-    remove non-convex ridge between facet1 into facet2
-    mergetype gives why the facet's are non-convex
-
-  returns:
-    merges one of the facets into the best neighbor
-
-  design:
-    if one of the facets is a new facet
-      prefer merging new facet into old facet
-    find best neighbors for both facets
-    merge the nearest facet into its best neighbor
-    update the statistics
-*/
-void qh_merge_nonconvex(facetT *facet1, facetT *facet2, mergeType mergetype) {
-  facetT *bestfacet, *bestneighbor, *neighbor;
-  realT dist, dist2, mindist, mindist2, maxdist, maxdist2;
-
-  if (qh TRACEmerge-1 == zzval_(Ztotmerge))
-    qhmem.IStracing= qh IStracing= qh TRACElevel;
-  trace3((qh ferr, 3003, "qh_merge_nonconvex: merge #%d for f%d and f%d type %d\n",
-      zzval_(Ztotmerge) + 1, facet1->id, facet2->id, mergetype));
-  /* concave or coplanar */
-  if (!facet1->newfacet) {
-    bestfacet= facet2;   /* avoid merging old facet if new is ok */
-    facet2= facet1;
-    facet1= bestfacet;
-  }else
-    bestfacet= facet1;
-  bestneighbor= qh_findbestneighbor(bestfacet, &dist, &mindist, &maxdist);
-  neighbor= qh_findbestneighbor(facet2, &dist2, &mindist2, &maxdist2);
-  if (dist < dist2) {
-    qh_mergefacet(bestfacet, bestneighbor, &mindist, &maxdist, !qh_MERGEapex);
-  }else if (qh AVOIDold && !facet2->newfacet
-  && ((mindist >= -qh MAXcoplanar && maxdist <= qh max_outside)
-       || dist * 1.5 < dist2)) {
-    zinc_(Zavoidold);
-    wadd_(Wavoidoldtot, dist);
-    wmax_(Wavoidoldmax, dist);
-    trace2((qh ferr, 2029, "qh_merge_nonconvex: avoid merging old facet f%d dist %2.2g.  Use f%d dist %2.2g instead\n",
-           facet2->id, dist2, facet1->id, dist2));
-    qh_mergefacet(bestfacet, bestneighbor, &mindist, &maxdist, !qh_MERGEapex);
-  }else {
-    qh_mergefacet(facet2, neighbor, &mindist2, &maxdist2, !qh_MERGEapex);
-    dist= dist2;
-  }
-  if (qh PRINTstatistics) {
-    if (mergetype == MRGanglecoplanar) {
-      zinc_(Zacoplanar);
-      wadd_(Wacoplanartot, dist);
-      wmax_(Wacoplanarmax, dist);
-    }else if (mergetype == MRGconcave) {
-      zinc_(Zconcave);
-      wadd_(Wconcavetot, dist);
-      wmax_(Wconcavemax, dist);
-    }else { /* MRGcoplanar */
-      zinc_(Zcoplanar);
-      wadd_(Wcoplanartot, dist);
-      wmax_(Wcoplanarmax, dist);
-    }
-  }
-} /* merge_nonconvex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle">-</a>
-
-  qh_mergecycle( samecycle, newfacet )
-    merge a cycle of facets starting at samecycle into a newfacet
-    newfacet is a horizon facet with ->normal
-    samecycle facets are simplicial from an apex
-
-  returns:
-    initializes vertex neighbors on first merge
-    samecycle deleted (placed on qh.visible_list)
-    newfacet at end of qh.facet_list
-    deleted vertices on qh.del_vertices
-
-  see:
-    qh_mergefacet()
-    called by qh_mergecycle_all() for multiple, same cycle facets
-
-  design:
-    make vertex neighbors if necessary
-    make ridges for newfacet
-    merge neighbor sets of samecycle into newfacet
-    merge ridges of samecycle into newfacet
-    merge vertex neighbors of samecycle into newfacet
-    make apex of samecycle the apex of newfacet
-    if newfacet wasn't a new facet
-      add its vertices to qh.newvertex_list
-    delete samecycle facets a make newfacet a newfacet
-*/
-void qh_mergecycle(facetT *samecycle, facetT *newfacet) {
-  int traceonce= False, tracerestore= 0;
-  vertexT *apex;
-#ifndef qh_NOtrace
-  facetT *same;
-#endif
-
-  if (newfacet->tricoplanar) {
-    if (!qh TRInormals) {
-      qh_fprintf(qh ferr, 6224, "Qhull internal error (qh_mergecycle): does not work for tricoplanar facets.  Use option 'Q11'\n");
-      qh_errexit(qh_ERRqhull, newfacet, NULL);
-    }
-    newfacet->tricoplanar= False;
-    newfacet->keepcentrum= False;
-  }
-  if (!qh VERTEXneighbors)
-    qh_vertexneighbors();
-  zzinc_(Ztotmerge);
-  if (qh REPORTfreq2 && qh POSTmerging) {
-    if (zzval_(Ztotmerge) > qh mergereport + qh REPORTfreq2)
-      qh_tracemerging();
-  }
-#ifndef qh_NOtrace
-  if (qh TRACEmerge == zzval_(Ztotmerge))
-    qhmem.IStracing= qh IStracing= qh TRACElevel;
-  trace2((qh ferr, 2030, "qh_mergecycle: merge #%d for facets from cycle f%d into coplanar horizon f%d\n",
-        zzval_(Ztotmerge), samecycle->id, newfacet->id));
-  if (newfacet == qh tracefacet) {
-    tracerestore= qh IStracing;
-    qh IStracing= 4;
-    qh_fprintf(qh ferr, 8068, "qh_mergecycle: ========= trace merge %d of samecycle %d into trace f%d, furthest is p%d\n",
-               zzval_(Ztotmerge), samecycle->id, newfacet->id,  qh furthest_id);
-    traceonce= True;
-  }
-  if (qh IStracing >=4) {
-    qh_fprintf(qh ferr, 8069, "  same cycle:");
-    FORALLsame_cycle_(samecycle)
-      qh_fprintf(qh ferr, 8070, " f%d", same->id);
-    qh_fprintf(qh ferr, 8071, "\n");
-  }
-  if (qh IStracing >=4)
-    qh_errprint("MERGING CYCLE", samecycle, newfacet, NULL, NULL);
-#endif /* !qh_NOtrace */
-  apex= SETfirstt_(samecycle->vertices, vertexT);
-  qh_makeridges(newfacet);
-  qh_mergecycle_neighbors(samecycle, newfacet);
-  qh_mergecycle_ridges(samecycle, newfacet);
-  qh_mergecycle_vneighbors(samecycle, newfacet);
-  if (SETfirstt_(newfacet->vertices, vertexT) != apex)
-    qh_setaddnth(&newfacet->vertices, 0, apex);  /* apex has last id */
-  if (!newfacet->newfacet)
-    qh_newvertices(newfacet->vertices);
-  qh_mergecycle_facets(samecycle, newfacet);
-  qh_tracemerge(samecycle, newfacet);
-  /* check for degen_redundant_neighbors after qh_forcedmerges() */
-  if (traceonce) {
-    qh_fprintf(qh ferr, 8072, "qh_mergecycle: end of trace facet\n");
-    qh IStracing= tracerestore;
-  }
-} /* mergecycle */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle_all">-</a>
-
-  qh_mergecycle_all( facetlist, wasmerge )
-    merge all samecycles of coplanar facets into horizon
-    don't merge facets with ->mergeridge (these already have ->normal)
-    all facets are simplicial from apex
-    all facet->cycledone == False
-
-  returns:
-    all newfacets merged into coplanar horizon facets
-    deleted vertices on  qh.del_vertices
-    sets wasmerge if any merge
-
-  see:
-    calls qh_mergecycle for multiple, same cycle facets
-
-  design:
-    for each facet on facetlist
-      skip facets with duplicate ridges and normals
-      check that facet is in a samecycle (->mergehorizon)
-      if facet only member of samecycle
-        sets vertex->delridge for all vertices except apex
-        merge facet into horizon
-      else
-        mark all facets in samecycle
-        remove facets with duplicate ridges from samecycle
-        merge samecycle into horizon (deletes facets from facetlist)
-*/
-void qh_mergecycle_all(facetT *facetlist, boolT *wasmerge) {
-  facetT *facet, *same, *prev, *horizon;
-  facetT *samecycle= NULL, *nextfacet, *nextsame;
-  vertexT *apex, *vertex, **vertexp;
-  int cycles=0, total=0, facets, nummerge;
-
-  trace2((qh ferr, 2031, "qh_mergecycle_all: begin\n"));
-  for (facet= facetlist; facet && (nextfacet= facet->next); facet= nextfacet) {
-    if (facet->normal)
-      continue;
-    if (!facet->mergehorizon) {
-      qh_fprintf(qh ferr, 6225, "Qhull internal error (qh_mergecycle_all): f%d without normal\n", facet->id);
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-    horizon= SETfirstt_(facet->neighbors, facetT);
-    if (facet->f.samecycle == facet) {
-      zinc_(Zonehorizon);
-      /* merge distance done in qh_findhorizon */
-      apex= SETfirstt_(facet->vertices, vertexT);
-      FOREACHvertex_(facet->vertices) {
-        if (vertex != apex)
-          vertex->delridge= True;
-      }
-      horizon->f.newcycle= NULL;
-      qh_mergefacet(facet, horizon, NULL, NULL, qh_MERGEapex);
-    }else {
-      samecycle= facet;
-      facets= 0;
-      prev= facet;
-      for (same= facet->f.samecycle; same;  /* FORALLsame_cycle_(facet) */
-           same= (same == facet ? NULL :nextsame)) { /* ends at facet */
-        nextsame= same->f.samecycle;
-        if (same->cycledone || same->visible)
-          qh_infiniteloop(same);
-        same->cycledone= True;
-        if (same->normal) {
-          prev->f.samecycle= same->f.samecycle; /* unlink ->mergeridge */
-          same->f.samecycle= NULL;
-        }else {
-          prev= same;
-          facets++;
-        }
-      }
-      while (nextfacet && nextfacet->cycledone)  /* will delete samecycle */
-        nextfacet= nextfacet->next;
-      horizon->f.newcycle= NULL;
-      qh_mergecycle(samecycle, horizon);
-      nummerge= horizon->nummerge + facets;
-      if (nummerge > qh_MAXnummerge)
-        horizon->nummerge= qh_MAXnummerge;
-      else
-        horizon->nummerge= (short unsigned int)nummerge;
-      zzinc_(Zcyclehorizon);
-      total += facets;
-      zzadd_(Zcyclefacettot, facets);
-      zmax_(Zcyclefacetmax, facets);
-    }
-    cycles++;
-  }
-  if (cycles)
-    *wasmerge= True;
-  trace1((qh ferr, 1013, "qh_mergecycle_all: merged %d same cycles or facets into coplanar horizons\n", cycles));
-} /* mergecycle_all */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle_facets">-</a>
-
-  qh_mergecycle_facets( samecycle, newfacet )
-    finish merge of samecycle into newfacet
-
-  returns:
-    samecycle prepended to visible_list for later deletion and partitioning
-      each facet->f.replace == newfacet
-
-    newfacet moved to end of qh.facet_list
-      makes newfacet a newfacet (get's facet1->id if it was old)
-      sets newfacet->newmerge
-      clears newfacet->center (unless merging into a large facet)
-      clears newfacet->tested and ridge->tested for facet1
-
-    adds neighboring facets to facet_mergeset if redundant or degenerate
-
-  design:
-    make newfacet a new facet and set its flags
-    move samecycle facets to qh.visible_list for later deletion
-    unless newfacet is large
-      remove its centrum
-*/
-void qh_mergecycle_facets(facetT *samecycle, facetT *newfacet) {
-  facetT *same, *next;
-
-  trace4((qh ferr, 4030, "qh_mergecycle_facets: make newfacet new and samecycle deleted\n"));
-  qh_removefacet(newfacet);  /* append as a newfacet to end of qh facet_list */
-  qh_appendfacet(newfacet);
-  newfacet->newfacet= True;
-  newfacet->simplicial= False;
-  newfacet->newmerge= True;
-
-  for (same= samecycle->f.samecycle; same; same= (same == samecycle ?  NULL : next)) {
-    next= same->f.samecycle;  /* reused by willdelete */
-    qh_willdelete(same, newfacet);
-  }
-  if (newfacet->center
-      && qh_setsize(newfacet->vertices) <= qh hull_dim + qh_MAXnewcentrum) {
-    qh_memfree(newfacet->center, qh normal_size);
-    newfacet->center= NULL;
-  }
-  trace3((qh ferr, 3004, "qh_mergecycle_facets: merged facets from cycle f%d into f%d\n",
-             samecycle->id, newfacet->id));
-} /* mergecycle_facets */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle_neighbors">-</a>
-
-  qh_mergecycle_neighbors( samecycle, newfacet )
-    add neighbors for samecycle facets to newfacet
-
-  returns:
-    newfacet with updated neighbors and vice-versa
-    newfacet has ridges
-    all neighbors of newfacet marked with qh.visit_id
-    samecycle facets marked with qh.visit_id-1
-    ridges updated for simplicial neighbors of samecycle with a ridge
-
-  notes:
-    assumes newfacet not in samecycle
-    usually, samecycle facets are new, simplicial facets without internal ridges
-      not so if horizon facet is coplanar to two different samecycles
-
-  see:
-    qh_mergeneighbors()
-
-  design:
-    check samecycle
-    delete neighbors from newfacet that are also in samecycle
-    for each neighbor of a facet in samecycle
-      if neighbor is simplicial
-        if first visit
-          move the neighbor relation to newfacet
-          update facet links for its ridges
-        else
-          make ridges for neighbor
-          remove samecycle reference
-      else
-        update neighbor sets
-*/
-void qh_mergecycle_neighbors(facetT *samecycle, facetT *newfacet) {
-  facetT *same, *neighbor, **neighborp;
-  int delneighbors= 0, newneighbors= 0;
-  unsigned int samevisitid;
-  ridgeT *ridge, **ridgep;
-
-  samevisitid= ++qh visit_id;
-  FORALLsame_cycle_(samecycle) {
-    if (same->visitid == samevisitid || same->visible)
-      qh_infiniteloop(samecycle);
-    same->visitid= samevisitid;
-  }
-  newfacet->visitid= ++qh visit_id;
-  trace4((qh ferr, 4031, "qh_mergecycle_neighbors: delete shared neighbors from newfacet\n"));
-  FOREACHneighbor_(newfacet) {
-    if (neighbor->visitid == samevisitid) {
-      SETref_(neighbor)= NULL;  /* samecycle neighbors deleted */
-      delneighbors++;
-    }else
-      neighbor->visitid= qh visit_id;
-  }
-  qh_setcompact(newfacet->neighbors);
-
-  trace4((qh ferr, 4032, "qh_mergecycle_neighbors: update neighbors\n"));
-  FORALLsame_cycle_(samecycle) {
-    FOREACHneighbor_(same) {
-      if (neighbor->visitid == samevisitid)
-        continue;
-      if (neighbor->simplicial) {
-        if (neighbor->visitid != qh visit_id) {
-          qh_setappend(&newfacet->neighbors, neighbor);
-          qh_setreplace(neighbor->neighbors, same, newfacet);
-          newneighbors++;
-          neighbor->visitid= qh visit_id;
-          FOREACHridge_(neighbor->ridges) { /* update ridge in case of qh_makeridges */
-            if (ridge->top == same) {
-              ridge->top= newfacet;
-              break;
-            }else if (ridge->bottom == same) {
-              ridge->bottom= newfacet;
-              break;
-            }
-          }
-        }else {
-          qh_makeridges(neighbor);
-          qh_setdel(neighbor->neighbors, same);
-          /* same can't be horizon facet for neighbor */
-        }
-      }else { /* non-simplicial neighbor */
-        qh_setdel(neighbor->neighbors, same);
-        if (neighbor->visitid != qh visit_id) {
-          qh_setappend(&neighbor->neighbors, newfacet);
-          qh_setappend(&newfacet->neighbors, neighbor);
-          neighbor->visitid= qh visit_id;
-          newneighbors++;
-        }
-      }
-    }
-  }
-  trace2((qh ferr, 2032, "qh_mergecycle_neighbors: deleted %d neighbors and added %d\n",
-             delneighbors, newneighbors));
-} /* mergecycle_neighbors */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle_ridges">-</a>
-
-  qh_mergecycle_ridges( samecycle, newfacet )
-    add ridges/neighbors for facets in samecycle to newfacet
-    all new/old neighbors of newfacet marked with qh.visit_id
-    facets in samecycle marked with qh.visit_id-1
-    newfacet marked with qh.visit_id
-
-  returns:
-    newfacet has merged ridges
-
-  notes:
-    ridge already updated for simplicial neighbors of samecycle with a ridge
-
-  see:
-    qh_mergeridges()
-    qh_makeridges()
-
-  design:
-    remove ridges between newfacet and samecycle
-    for each facet in samecycle
-      for each ridge in facet
-        update facet pointers in ridge
-        skip ridges processed in qh_mergecycle_neighors
-        free ridges between newfacet and samecycle
-        free ridges between facets of samecycle (on 2nd visit)
-        append remaining ridges to newfacet
-      if simpilicial facet
-        for each neighbor of facet
-          if simplicial facet
-          and not samecycle facet or newfacet
-            make ridge between neighbor and newfacet
-*/
-void qh_mergecycle_ridges(facetT *samecycle, facetT *newfacet) {
-  facetT *same, *neighbor= NULL;
-  int numold=0, numnew=0;
-  int neighbor_i, neighbor_n;
-  unsigned int samevisitid;
-  ridgeT *ridge, **ridgep;
-  boolT toporient;
-  void **freelistp; /* used !qh_NOmem */
-
-  trace4((qh ferr, 4033, "qh_mergecycle_ridges: delete shared ridges from newfacet\n"));
-  samevisitid= qh visit_id -1;
-  FOREACHridge_(newfacet->ridges) {
-    neighbor= otherfacet_(ridge, newfacet);
-    if (neighbor->visitid == samevisitid)
-      SETref_(ridge)= NULL; /* ridge free'd below */
-  }
-  qh_setcompact(newfacet->ridges);
-
-  trace4((qh ferr, 4034, "qh_mergecycle_ridges: add ridges to newfacet\n"));
-  FORALLsame_cycle_(samecycle) {
-    FOREACHridge_(same->ridges) {
-      if (ridge->top == same) {
-        ridge->top= newfacet;
-        neighbor= ridge->bottom;
-      }else if (ridge->bottom == same) {
-        ridge->bottom= newfacet;
-        neighbor= ridge->top;
-      }else if (ridge->top == newfacet || ridge->bottom == newfacet) {
-        qh_setappend(&newfacet->ridges, ridge);
-        numold++;  /* already set by qh_mergecycle_neighbors */
-        continue;
-      }else {
-        qh_fprintf(qh ferr, 6098, "qhull internal error (qh_mergecycle_ridges): bad ridge r%d\n", ridge->id);
-        qh_errexit(qh_ERRqhull, NULL, ridge);
-      }
-      if (neighbor == newfacet) {
-        qh_setfree(&(ridge->vertices));
-        qh_memfree_(ridge, (int)sizeof(ridgeT), freelistp);
-        numold++;
-      }else if (neighbor->visitid == samevisitid) {
-        qh_setdel(neighbor->ridges, ridge);
-        qh_setfree(&(ridge->vertices));
-        qh_memfree_(ridge, (int)sizeof(ridgeT), freelistp);
-        numold++;
-      }else {
-        qh_setappend(&newfacet->ridges, ridge);
-        numold++;
-      }
-    }
-    if (same->ridges)
-      qh_settruncate(same->ridges, 0);
-    if (!same->simplicial)
-      continue;
-    FOREACHneighbor_i_(same) {       /* note: !newfact->simplicial */
-      if (neighbor->visitid != samevisitid && neighbor->simplicial) {
-        ridge= qh_newridge();
-        ridge->vertices= qh_setnew_delnthsorted(same->vertices, qh hull_dim,
-                                                          neighbor_i, 0);
-        toporient= same->toporient ^ (neighbor_i & 0x1);
-        if (toporient) {
-          ridge->top= newfacet;
-          ridge->bottom= neighbor;
-        }else {
-          ridge->top= neighbor;
-          ridge->bottom= newfacet;
-        }
-        qh_setappend(&(newfacet->ridges), ridge);
-        qh_setappend(&(neighbor->ridges), ridge);
-        numnew++;
-      }
-    }
-  }
-
-  trace2((qh ferr, 2033, "qh_mergecycle_ridges: found %d old ridges and %d new ones\n",
-             numold, numnew));
-} /* mergecycle_ridges */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergecycle_vneighbors">-</a>
-
-  qh_mergecycle_vneighbors( samecycle, newfacet )
-    create vertex neighbors for newfacet from vertices of facets in samecycle
-    samecycle marked with visitid == qh.visit_id - 1
-
-  returns:
-    newfacet vertices with updated neighbors
-    marks newfacet with qh.visit_id-1
-    deletes vertices that are merged away
-    sets delridge on all vertices (faster here than in mergecycle_ridges)
-
-  see:
-    qh_mergevertex_neighbors()
-
-  design:
-    for each vertex of samecycle facet
-      set vertex->delridge
-      delete samecycle facets from vertex neighbors
-      append newfacet to vertex neighbors
-      if vertex only in newfacet
-        delete it from newfacet
-        add it to qh.del_vertices for later deletion
-*/
-void qh_mergecycle_vneighbors(facetT *samecycle, facetT *newfacet) {
-  facetT *neighbor, **neighborp;
-  unsigned int mergeid;
-  vertexT *vertex, **vertexp, *apex;
-  setT *vertices;
-
-  trace4((qh ferr, 4035, "qh_mergecycle_vneighbors: update vertex neighbors for newfacet\n"));
-  mergeid= qh visit_id - 1;
-  newfacet->visitid= mergeid;
-  vertices= qh_basevertices(samecycle); /* temp */
-  apex= SETfirstt_(samecycle->vertices, vertexT);
-  qh_setappend(&vertices, apex);
-  FOREACHvertex_(vertices) {
-    vertex->delridge= True;
-    FOREACHneighbor_(vertex) {
-      if (neighbor->visitid == mergeid)
-        SETref_(neighbor)= NULL;
-    }
-    qh_setcompact(vertex->neighbors);
-    qh_setappend(&vertex->neighbors, newfacet);
-    if (!SETsecond_(vertex->neighbors)) {
-      zinc_(Zcyclevertex);
-      trace2((qh ferr, 2034, "qh_mergecycle_vneighbors: deleted v%d when merging cycle f%d into f%d\n",
-        vertex->id, samecycle->id, newfacet->id));
-      qh_setdelsorted(newfacet->vertices, vertex);
-      vertex->deleted= True;
-      qh_setappend(&qh del_vertices, vertex);
-    }
-  }
-  qh_settempfree(&vertices);
-  trace3((qh ferr, 3005, "qh_mergecycle_vneighbors: merged vertices from cycle f%d into f%d\n",
-             samecycle->id, newfacet->id));
-} /* mergecycle_vneighbors */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergefacet">-</a>
-
-  qh_mergefacet( facet1, facet2, mindist, maxdist, mergeapex )
-    merges facet1 into facet2
-    mergeapex==qh_MERGEapex if merging new facet into coplanar horizon
-
-  returns:
-    qh.max_outside and qh.min_vertex updated
-    initializes vertex neighbors on first merge
-
-  returns:
-    facet2 contains facet1's vertices, neighbors, and ridges
-      facet2 moved to end of qh.facet_list
-      makes facet2 a newfacet
-      sets facet2->newmerge set
-      clears facet2->center (unless merging into a large facet)
-      clears facet2->tested and ridge->tested for facet1
-
-    facet1 prepended to visible_list for later deletion and partitioning
-      facet1->f.replace == facet2
-
-    adds neighboring facets to facet_mergeset if redundant or degenerate
-
-  notes:
-    mindist/maxdist may be NULL (only if both NULL)
-    traces merge if fmax_(maxdist,-mindist) > TRACEdist
-
-  see:
-    qh_mergecycle()
-
-  design:
-    trace merge and check for degenerate simplex
-    make ridges for both facets
-    update qh.max_outside, qh.max_vertex, qh.min_vertex
-    update facet2->maxoutside and keepcentrum
-    update facet2->nummerge
-    update tested flags for facet2
-    if facet1 is simplicial
-      merge facet1 into facet2
-    else
-      merge facet1's neighbors into facet2
-      merge facet1's ridges into facet2
-      merge facet1's vertices into facet2
-      merge facet1's vertex neighbors into facet2
-      add facet2's vertices to qh.new_vertexlist
-      unless qh_MERGEapex
-        test facet2 for degenerate or redundant neighbors
-      move facet1 to qh.visible_list for later deletion
-      move facet2 to end of qh.newfacet_list
-*/
-void qh_mergefacet(facetT *facet1, facetT *facet2, realT *mindist, realT *maxdist, boolT mergeapex) {
-  boolT traceonce= False;
-  vertexT *vertex, **vertexp;
-  int tracerestore=0, nummerge;
-
-  if (facet1->tricoplanar || facet2->tricoplanar) {
-    if (!qh TRInormals) {
-      qh_fprintf(qh ferr, 6226, "Qhull internal error (qh_mergefacet): does not work for tricoplanar facets.  Use option 'Q11'\n");
-      qh_errexit2 (qh_ERRqhull, facet1, facet2);
-    }
-    if (facet2->tricoplanar) {
-      facet2->tricoplanar= False;
-      facet2->keepcentrum= False;
-    }
-  }
-  zzinc_(Ztotmerge);
-  if (qh REPORTfreq2 && qh POSTmerging) {
-    if (zzval_(Ztotmerge) > qh mergereport + qh REPORTfreq2)
-      qh_tracemerging();
-  }
-#ifndef qh_NOtrace
-  if (qh build_cnt >= qh RERUN) {
-    if (mindist && (-*mindist > qh TRACEdist || *maxdist > qh TRACEdist)) {
-      tracerestore= 0;
-      qh IStracing= qh TRACElevel;
-      traceonce= True;
-      qh_fprintf(qh ferr, 8075, "qh_mergefacet: ========= trace wide merge #%d(%2.2g) for f%d into f%d, last point was p%d\n", zzval_(Ztotmerge),
-             fmax_(-*mindist, *maxdist), facet1->id, facet2->id, qh furthest_id);
-    }else if (facet1 == qh tracefacet || facet2 == qh tracefacet) {
-      tracerestore= qh IStracing;
-      qh IStracing= 4;
-      traceonce= True;
-      qh_fprintf(qh ferr, 8076, "qh_mergefacet: ========= trace merge #%d involving f%d, furthest is p%d\n",
-                 zzval_(Ztotmerge), qh tracefacet_id,  qh furthest_id);
-    }
-  }
-  if (qh IStracing >= 2) {
-    realT mergemin= -2;
-    realT mergemax= -2;
-
-    if (mindist) {
-      mergemin= *mindist;
-      mergemax= *maxdist;
-    }
-    qh_fprintf(qh ferr, 8077, "qh_mergefacet: #%d merge f%d into f%d, mindist= %2.2g, maxdist= %2.2g\n",
-    zzval_(Ztotmerge), facet1->id, facet2->id, mergemin, mergemax);
-  }
-#endif /* !qh_NOtrace */
-  if (facet1 == facet2 || facet1->visible || facet2->visible) {
-    qh_fprintf(qh ferr, 6099, "qhull internal error (qh_mergefacet): either f%d and f%d are the same or one is a visible facet\n",
-             facet1->id, facet2->id);
-    qh_errexit2 (qh_ERRqhull, facet1, facet2);
-  }
-  if (qh num_facets - qh num_visible <= qh hull_dim + 1) {
-    qh_fprintf(qh ferr, 6227, "\n\
-qhull precision error: Only %d facets remain.  Can not merge another\n\
-pair.  The input is too degenerate or the convexity constraints are\n\
-too strong.\n", qh hull_dim+1);
-    if (qh hull_dim >= 5 && !qh MERGEexact)
-      qh_fprintf(qh ferr, 8079, "Option 'Qx' may avoid this problem.\n");
-    qh_errexit(qh_ERRprec, NULL, NULL);
-  }
-  if (!qh VERTEXneighbors)
-    qh_vertexneighbors();
-  qh_makeridges(facet1);
-  qh_makeridges(facet2);
-  if (qh IStracing >=4)
-    qh_errprint("MERGING", facet1, facet2, NULL, NULL);
-  if (mindist) {
-    maximize_(qh max_outside, *maxdist);
-    maximize_(qh max_vertex, *maxdist);
-#if qh_MAXoutside
-    maximize_(facet2->maxoutside, *maxdist);
-#endif
-    minimize_(qh min_vertex, *mindist);
-    if (!facet2->keepcentrum
-    && (*maxdist > qh WIDEfacet || *mindist < -qh WIDEfacet)) {
-      facet2->keepcentrum= True;
-      zinc_(Zwidefacet);
-    }
-  }
-  nummerge= facet1->nummerge + facet2->nummerge + 1;
-  if (nummerge >= qh_MAXnummerge)
-    facet2->nummerge= qh_MAXnummerge;
-  else
-    facet2->nummerge= (short unsigned int)nummerge;
-  facet2->newmerge= True;
-  facet2->dupridge= False;
-  qh_updatetested  (facet1, facet2);
-  if (qh hull_dim > 2 && qh_setsize(facet1->vertices) == qh hull_dim)
-    qh_mergesimplex(facet1, facet2, mergeapex);
-  else {
-    qh vertex_visit++;
-    FOREACHvertex_(facet2->vertices)
-      vertex->visitid= qh vertex_visit;
-    if (qh hull_dim == 2)
-      qh_mergefacet2d(facet1, facet2);
-    else {
-      qh_mergeneighbors(facet1, facet2);
-      qh_mergevertices(facet1->vertices, &facet2->vertices);
-    }
-    qh_mergeridges(facet1, facet2);
-    qh_mergevertex_neighbors(facet1, facet2);
-    if (!facet2->newfacet)
-      qh_newvertices(facet2->vertices);
-  }
-  if (!mergeapex)
-    qh_degen_redundant_neighbors(facet2, facet1);
-  if (facet2->coplanar || !facet2->newfacet) {
-    zinc_(Zmergeintohorizon);
-  }else if (!facet1->newfacet && facet2->newfacet) {
-    zinc_(Zmergehorizon);
-  }else {
-    zinc_(Zmergenew);
-  }
-  qh_willdelete(facet1, facet2);
-  qh_removefacet(facet2);  /* append as a newfacet to end of qh facet_list */
-  qh_appendfacet(facet2);
-  facet2->newfacet= True;
-  facet2->tested= False;
-  qh_tracemerge(facet1, facet2);
-  if (traceonce) {
-    qh_fprintf(qh ferr, 8080, "qh_mergefacet: end of wide tracing\n");
-    qh IStracing= tracerestore;
-  }
-} /* mergefacet */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergefacet2d">-</a>
-
-  qh_mergefacet2d( facet1, facet2 )
-    in 2d, merges neighbors and vertices of facet1 into facet2
-
-  returns:
-    build ridges for neighbors if necessary
-    facet2 looks like a simplicial facet except for centrum, ridges
-      neighbors are opposite the corresponding vertex
-      maintains orientation of facet2
-
-  notes:
-    qh_mergefacet() retains non-simplicial structures
-      they are not needed in 2d, but later routines may use them
-    preserves qh.vertex_visit for qh_mergevertex_neighbors()
-
-  design:
-    get vertices and neighbors
-    determine new vertices and neighbors
-    set new vertices and neighbors and adjust orientation
-    make ridges for new neighbor if needed
-*/
-void qh_mergefacet2d(facetT *facet1, facetT *facet2) {
-  vertexT *vertex1A, *vertex1B, *vertex2A, *vertex2B, *vertexA, *vertexB;
-  facetT *neighbor1A, *neighbor1B, *neighbor2A, *neighbor2B, *neighborA, *neighborB;
-
-  vertex1A= SETfirstt_(facet1->vertices, vertexT);
-  vertex1B= SETsecondt_(facet1->vertices, vertexT);
-  vertex2A= SETfirstt_(facet2->vertices, vertexT);
-  vertex2B= SETsecondt_(facet2->vertices, vertexT);
-  neighbor1A= SETfirstt_(facet1->neighbors, facetT);
-  neighbor1B= SETsecondt_(facet1->neighbors, facetT);
-  neighbor2A= SETfirstt_(facet2->neighbors, facetT);
-  neighbor2B= SETsecondt_(facet2->neighbors, facetT);
-  if (vertex1A == vertex2A) {
-    vertexA= vertex1B;
-    vertexB= vertex2B;
-    neighborA= neighbor2A;
-    neighborB= neighbor1A;
-  }else if (vertex1A == vertex2B) {
-    vertexA= vertex1B;
-    vertexB= vertex2A;
-    neighborA= neighbor2B;
-    neighborB= neighbor1A;
-  }else if (vertex1B == vertex2A) {
-    vertexA= vertex1A;
-    vertexB= vertex2B;
-    neighborA= neighbor2A;
-    neighborB= neighbor1B;
-  }else { /* 1B == 2B */
-    vertexA= vertex1A;
-    vertexB= vertex2A;
-    neighborA= neighbor2B;
-    neighborB= neighbor1B;
-  }
-  /* vertexB always from facet2, neighborB always from facet1 */
-  if (vertexA->id > vertexB->id) {
-    SETfirst_(facet2->vertices)= vertexA;
-    SETsecond_(facet2->vertices)= vertexB;
-    if (vertexB == vertex2A)
-      facet2->toporient= !facet2->toporient;
-    SETfirst_(facet2->neighbors)= neighborA;
-    SETsecond_(facet2->neighbors)= neighborB;
-  }else {
-    SETfirst_(facet2->vertices)= vertexB;
-    SETsecond_(facet2->vertices)= vertexA;
-    if (vertexB == vertex2B)
-      facet2->toporient= !facet2->toporient;
-    SETfirst_(facet2->neighbors)= neighborB;
-    SETsecond_(facet2->neighbors)= neighborA;
-  }
-  qh_makeridges(neighborB);
-  qh_setreplace(neighborB->neighbors, facet1, facet2);
-  trace4((qh ferr, 4036, "qh_mergefacet2d: merged v%d and neighbor f%d of f%d into f%d\n",
-       vertexA->id, neighborB->id, facet1->id, facet2->id));
-} /* mergefacet2d */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergeneighbors">-</a>
-
-  qh_mergeneighbors( facet1, facet2 )
-    merges the neighbors of facet1 into facet2
-
-  see:
-    qh_mergecycle_neighbors()
-
-  design:
-    for each neighbor of facet1
-      if neighbor is also a neighbor of facet2
-        if neighbor is simpilicial
-          make ridges for later deletion as a degenerate facet
-        update its neighbor set
-      else
-        move the neighbor relation to facet2
-    remove the neighbor relation for facet1 and facet2
-*/
-void qh_mergeneighbors(facetT *facet1, facetT *facet2) {
-  facetT *neighbor, **neighborp;
-
-  trace4((qh ferr, 4037, "qh_mergeneighbors: merge neighbors of f%d and f%d\n",
-          facet1->id, facet2->id));
-  qh visit_id++;
-  FOREACHneighbor_(facet2) {
-    neighbor->visitid= qh visit_id;
-  }
-  FOREACHneighbor_(facet1) {
-    if (neighbor->visitid == qh visit_id) {
-      if (neighbor->simplicial)    /* is degen, needs ridges */
-        qh_makeridges(neighbor);
-      if (SETfirstt_(neighbor->neighbors, facetT) != facet1) /*keep newfacet->horizon*/
-        qh_setdel(neighbor->neighbors, facet1);
-      else {
-        qh_setdel(neighbor->neighbors, facet2);
-        qh_setreplace(neighbor->neighbors, facet1, facet2);
-      }
-    }else if (neighbor != facet2) {
-      qh_setappend(&(facet2->neighbors), neighbor);
-      qh_setreplace(neighbor->neighbors, facet1, facet2);
-    }
-  }
-  qh_setdel(facet1->neighbors, facet2);  /* here for makeridges */
-  qh_setdel(facet2->neighbors, facet1);
-} /* mergeneighbors */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergeridges">-</a>
-
-  qh_mergeridges( facet1, facet2 )
-    merges the ridge set of facet1 into facet2
-
-  returns:
-    may delete all ridges for a vertex
-    sets vertex->delridge on deleted ridges
-
-  see:
-    qh_mergecycle_ridges()
-
-  design:
-    delete ridges between facet1 and facet2
-      mark (delridge) vertices on these ridges for later testing
-    for each remaining ridge
-      rename facet1 to facet2
-*/
-void qh_mergeridges(facetT *facet1, facetT *facet2) {
-  ridgeT *ridge, **ridgep;
-  vertexT *vertex, **vertexp;
-
-  trace4((qh ferr, 4038, "qh_mergeridges: merge ridges of f%d and f%d\n",
-          facet1->id, facet2->id));
-  FOREACHridge_(facet2->ridges) {
-    if ((ridge->top == facet1) || (ridge->bottom == facet1)) {
-      FOREACHvertex_(ridge->vertices)
-        vertex->delridge= True;
-      qh_delridge(ridge);  /* expensive in high-d, could rebuild */
-      ridgep--; /*repeat*/
-    }
-  }
-  FOREACHridge_(facet1->ridges) {
-    if (ridge->top == facet1)
-      ridge->top= facet2;
-    else
-      ridge->bottom= facet2;
-    qh_setappend(&(facet2->ridges), ridge);
-  }
-} /* mergeridges */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergesimplex">-</a>
-
-  qh_mergesimplex( facet1, facet2, mergeapex )
-    merge simplicial facet1 into facet2
-    mergeapex==qh_MERGEapex if merging samecycle into horizon facet
-      vertex id is latest (most recently created)
-    facet1 may be contained in facet2
-    ridges exist for both facets
-
-  returns:
-    facet2 with updated vertices, ridges, neighbors
-    updated neighbors for facet1's vertices
-    facet1 not deleted
-    sets vertex->delridge on deleted ridges
-
-  notes:
-    special case code since this is the most common merge
-    called from qh_mergefacet()
-
-  design:
-    if qh_MERGEapex
-      add vertices of facet2 to qh.new_vertexlist if necessary
-      add apex to facet2
-    else
-      for each ridge between facet1 and facet2
-        set vertex->delridge
-      determine the apex for facet1 (i.e., vertex to be merged)
-      unless apex already in facet2
-        insert apex into vertices for facet2
-      add vertices of facet2 to qh.new_vertexlist if necessary
-      add apex to qh.new_vertexlist if necessary
-      for each vertex of facet1
-        if apex
-          rename facet1 to facet2 in its vertex neighbors
-        else
-          delete facet1 from vertex neighors
-          if only in facet2
-            add vertex to qh.del_vertices for later deletion
-      for each ridge of facet1
-        delete ridges between facet1 and facet2
-        append other ridges to facet2 after renaming facet to facet2
-*/
-void qh_mergesimplex(facetT *facet1, facetT *facet2, boolT mergeapex) {
-  vertexT *vertex, **vertexp, *apex;
-  ridgeT *ridge, **ridgep;
-  boolT issubset= False;
-  int vertex_i= -1, vertex_n;
-  facetT *neighbor, **neighborp, *otherfacet;
-
-  if (mergeapex) {
-    if (!facet2->newfacet)
-      qh_newvertices(facet2->vertices);  /* apex is new */
-    apex= SETfirstt_(facet1->vertices, vertexT);
-    if (SETfirstt_(facet2->vertices, vertexT) != apex)
-      qh_setaddnth(&facet2->vertices, 0, apex);  /* apex has last id */
-    else
-      issubset= True;
-  }else {
-    zinc_(Zmergesimplex);
-    FOREACHvertex_(facet1->vertices)
-      vertex->seen= False;
-    FOREACHridge_(facet1->ridges) {
-      if (otherfacet_(ridge, facet1) == facet2) {
-        FOREACHvertex_(ridge->vertices) {
-          vertex->seen= True;
-          vertex->delridge= True;
-        }
-        break;
-      }
-    }
-    FOREACHvertex_(facet1->vertices) {
-      if (!vertex->seen)
-        break;  /* must occur */
-    }
-    apex= vertex;
-    trace4((qh ferr, 4039, "qh_mergesimplex: merge apex v%d of f%d into facet f%d\n",
-          apex->id, facet1->id, facet2->id));
-    FOREACHvertex_i_(facet2->vertices) {
-      if (vertex->id < apex->id) {
-        break;
-      }else if (vertex->id == apex->id) {
-        issubset= True;
-        break;
-      }
-    }
-    if (!issubset)
-      qh_setaddnth(&facet2->vertices, vertex_i, apex);
-    if (!facet2->newfacet)
-      qh_newvertices(facet2->vertices);
-    else if (!apex->newlist) {
-      qh_removevertex(apex);
-      qh_appendvertex(apex);
-    }
-  }
-  trace4((qh ferr, 4040, "qh_mergesimplex: update vertex neighbors of f%d\n",
-          facet1->id));
-  FOREACHvertex_(facet1->vertices) {
-    if (vertex == apex && !issubset)
-      qh_setreplace(vertex->neighbors, facet1, facet2);
-    else {
-      qh_setdel(vertex->neighbors, facet1);
-      if (!SETsecond_(vertex->neighbors))
-        qh_mergevertex_del(vertex, facet1, facet2);
-    }
-  }
-  trace4((qh ferr, 4041, "qh_mergesimplex: merge ridges and neighbors of f%d into f%d\n",
-          facet1->id, facet2->id));
-  qh visit_id++;
-  FOREACHneighbor_(facet2)
-    neighbor->visitid= qh visit_id;
-  FOREACHridge_(facet1->ridges) {
-    otherfacet= otherfacet_(ridge, facet1);
-    if (otherfacet == facet2) {
-      qh_setdel(facet2->ridges, ridge);
-      qh_setfree(&(ridge->vertices));
-      qh_memfree(ridge, (int)sizeof(ridgeT));
-      qh_setdel(facet2->neighbors, facet1);
-    }else {
-      qh_setappend(&facet2->ridges, ridge);
-      if (otherfacet->visitid != qh visit_id) {
-        qh_setappend(&facet2->neighbors, otherfacet);
-        qh_setreplace(otherfacet->neighbors, facet1, facet2);
-        otherfacet->visitid= qh visit_id;
-      }else {
-        if (otherfacet->simplicial)    /* is degen, needs ridges */
-          qh_makeridges(otherfacet);
-        if (SETfirstt_(otherfacet->neighbors, facetT) != facet1)
-          qh_setdel(otherfacet->neighbors, facet1);
-        else {   /*keep newfacet->neighbors->horizon*/
-          qh_setdel(otherfacet->neighbors, facet2);
-          qh_setreplace(otherfacet->neighbors, facet1, facet2);
-        }
-      }
-      if (ridge->top == facet1) /* wait until after qh_makeridges */
-        ridge->top= facet2;
-      else
-        ridge->bottom= facet2;
-    }
-  }
-  SETfirst_(facet1->ridges)= NULL; /* it will be deleted */
-  trace3((qh ferr, 3006, "qh_mergesimplex: merged simplex f%d apex v%d into facet f%d\n",
-          facet1->id, getid_(apex), facet2->id));
-} /* mergesimplex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergevertex_del">-</a>
-
-  qh_mergevertex_del( vertex, facet1, facet2 )
-    delete a vertex because of merging facet1 into facet2
-
-  returns:
-    deletes vertex from facet2
-    adds vertex to qh.del_vertices for later deletion
-*/
-void qh_mergevertex_del(vertexT *vertex, facetT *facet1, facetT *facet2) {
-
-  zinc_(Zmergevertex);
-  trace2((qh ferr, 2035, "qh_mergevertex_del: deleted v%d when merging f%d into f%d\n",
-          vertex->id, facet1->id, facet2->id));
-  qh_setdelsorted(facet2->vertices, vertex);
-  vertex->deleted= True;
-  qh_setappend(&qh del_vertices, vertex);
-} /* mergevertex_del */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergevertex_neighbors">-</a>
-
-  qh_mergevertex_neighbors( facet1, facet2 )
-    merge the vertex neighbors of facet1 to facet2
-
-  returns:
-    if vertex is current qh.vertex_visit
-      deletes facet1 from vertex->neighbors
-    else
-      renames facet1 to facet2 in vertex->neighbors
-    deletes vertices if only one neighbor
-
-  notes:
-    assumes vertex neighbor sets are good
-*/
-void qh_mergevertex_neighbors(facetT *facet1, facetT *facet2) {
-  vertexT *vertex, **vertexp;
-
-  trace4((qh ferr, 4042, "qh_mergevertex_neighbors: merge vertex neighbors of f%d and f%d\n",
-          facet1->id, facet2->id));
-  if (qh tracevertex) {
-    qh_fprintf(qh ferr, 8081, "qh_mergevertex_neighbors: of f%d and f%d at furthest p%d f0= %p\n",
-             facet1->id, facet2->id, qh furthest_id, qh tracevertex->neighbors->e[0].p);
-    qh_errprint("TRACE", NULL, NULL, NULL, qh tracevertex);
-  }
-  FOREACHvertex_(facet1->vertices) {
-    if (vertex->visitid != qh vertex_visit)
-      qh_setreplace(vertex->neighbors, facet1, facet2);
-    else {
-      qh_setdel(vertex->neighbors, facet1);
-      if (!SETsecond_(vertex->neighbors))
-        qh_mergevertex_del(vertex, facet1, facet2);
-    }
-  }
-  if (qh tracevertex)
-    qh_errprint("TRACE", NULL, NULL, NULL, qh tracevertex);
-} /* mergevertex_neighbors */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="mergevertices">-</a>
-
-  qh_mergevertices( vertices1, vertices2 )
-    merges the vertex set of facet1 into facet2
-
-  returns:
-    replaces vertices2 with merged set
-    preserves vertex_visit for qh_mergevertex_neighbors
-    updates qh.newvertex_list
-
-  design:
-    create a merged set of both vertices (in inverse id order)
-*/
-void qh_mergevertices(setT *vertices1, setT **vertices2) {
-  int newsize= qh_setsize(vertices1)+qh_setsize(*vertices2) - qh hull_dim + 1;
-  setT *mergedvertices;
-  vertexT *vertex, **vertexp, **vertex2= SETaddr_(*vertices2, vertexT);
-
-  mergedvertices= qh_settemp(newsize);
-  FOREACHvertex_(vertices1) {
-    if (!*vertex2 || vertex->id > (*vertex2)->id)
-      qh_setappend(&mergedvertices, vertex);
-    else {
-      while (*vertex2 && (*vertex2)->id > vertex->id)
-        qh_setappend(&mergedvertices, *vertex2++);
-      if (!*vertex2 || (*vertex2)->id < vertex->id)
-        qh_setappend(&mergedvertices, vertex);
-      else
-        qh_setappend(&mergedvertices, *vertex2++);
-    }
-  }
-  while (*vertex2)
-    qh_setappend(&mergedvertices, *vertex2++);
-  if (newsize < qh_setsize(mergedvertices)) {
-    qh_fprintf(qh ferr, 6100, "qhull internal error (qh_mergevertices): facets did not share a ridge\n");
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  qh_setfree(vertices2);
-  *vertices2= mergedvertices;
-  qh_settemppop();
-} /* mergevertices */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="neighbor_intersections">-</a>
-
-  qh_neighbor_intersections( vertex )
-    return intersection of all vertices in vertex->neighbors except for vertex
-
-  returns:
-    returns temporary set of vertices
-    does not include vertex
-    NULL if a neighbor is simplicial
-    NULL if empty set
-
-  notes:
-    used for renaming vertices
-
-  design:
-    initialize the intersection set with vertices of the first two neighbors
-    delete vertex from the intersection
-    for each remaining neighbor
-      intersect its vertex set with the intersection set
-      return NULL if empty
-    return the intersection set
-*/
-setT *qh_neighbor_intersections(vertexT *vertex) {
-  facetT *neighbor, **neighborp, *neighborA, *neighborB;
-  setT *intersect;
-  int neighbor_i, neighbor_n;
-
-  FOREACHneighbor_(vertex) {
-    if (neighbor->simplicial)
-      return NULL;
-  }
-  neighborA= SETfirstt_(vertex->neighbors, facetT);
-  neighborB= SETsecondt_(vertex->neighbors, facetT);
-  zinc_(Zintersectnum);
-  if (!neighborA)
-    return NULL;
-  if (!neighborB)
-    intersect= qh_setcopy(neighborA->vertices, 0);
-  else
-    intersect= qh_vertexintersect_new(neighborA->vertices, neighborB->vertices);
-  qh_settemppush(intersect);
-  qh_setdelsorted(intersect, vertex);
-  FOREACHneighbor_i_(vertex) {
-    if (neighbor_i >= 2) {
-      zinc_(Zintersectnum);
-      qh_vertexintersect(&intersect, neighbor->vertices);
-      if (!SETfirst_(intersect)) {
-        zinc_(Zintersectfail);
-        qh_settempfree(&intersect);
-        return NULL;
-      }
-    }
-  }
-  trace3((qh ferr, 3007, "qh_neighbor_intersections: %d vertices in neighbor intersection of v%d\n",
-          qh_setsize(intersect), vertex->id));
-  return intersect;
-} /* neighbor_intersections */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="newvertices">-</a>
-
-  qh_newvertices( vertices )
-    add vertices to end of qh.vertex_list (marks as new vertices)
-
-  returns:
-    vertices on qh.newvertex_list
-    vertex->newlist set
-*/
-void qh_newvertices(setT *vertices) {
-  vertexT *vertex, **vertexp;
-
-  FOREACHvertex_(vertices) {
-    if (!vertex->newlist) {
-      qh_removevertex(vertex);
-      qh_appendvertex(vertex);
-    }
-  }
-} /* newvertices */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="reducevertices">-</a>
-
-  qh_reducevertices()
-    reduce extra vertices, shared vertices, and redundant vertices
-    facet->newmerge is set if merged since last call
-    if !qh.MERGEvertices, only removes extra vertices
-
-  returns:
-    True if also merged degen_redundant facets
-    vertices are renamed if possible
-    clears facet->newmerge and vertex->delridge
-
-  notes:
-    ignored if 2-d
-
-  design:
-    merge any degenerate or redundant facets
-    for each newly merged facet
-      remove extra vertices
-    if qh.MERGEvertices
-      for each newly merged facet
-        for each vertex
-          if vertex was on a deleted ridge
-            rename vertex if it is shared
-      remove delridge flag from new vertices
-*/
-boolT qh_reducevertices(void) {
-  int numshare=0, numrename= 0;
-  boolT degenredun= False;
-  facetT *newfacet;
-  vertexT *vertex, **vertexp;
-
-  if (qh hull_dim == 2)
-    return False;
-  if (qh_merge_degenredundant())
-    degenredun= True;
- LABELrestart:
-  FORALLnew_facets {
-    if (newfacet->newmerge) {
-      if (!qh MERGEvertices)
-        newfacet->newmerge= False;
-      qh_remove_extravertices(newfacet);
-    }
-  }
-  if (!qh MERGEvertices)
-    return False;
-  FORALLnew_facets {
-    if (newfacet->newmerge) {
-      newfacet->newmerge= False;
-      FOREACHvertex_(newfacet->vertices) {
-        if (vertex->delridge) {
-          if (qh_rename_sharedvertex(vertex, newfacet)) {
-            numshare++;
-            vertexp--; /* repeat since deleted vertex */
-          }
-        }
-      }
-    }
-  }
-  FORALLvertex_(qh newvertex_list) {
-    if (vertex->delridge && !vertex->deleted) {
-      vertex->delridge= False;
-      if (qh hull_dim >= 4 && qh_redundant_vertex(vertex)) {
-        numrename++;
-        if (qh_merge_degenredundant()) {
-          degenredun= True;
-          goto LABELrestart;
-        }
-      }
-    }
-  }
-  trace1((qh ferr, 1014, "qh_reducevertices: renamed %d shared vertices and %d redundant vertices. Degen? %d\n",
-          numshare, numrename, degenredun));
-  return degenredun;
-} /* reducevertices */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="redundant_vertex">-</a>
-
-  qh_redundant_vertex( vertex )
-    detect and rename a redundant vertex
-    vertices have full vertex->neighbors
-
-  returns:
-    returns true if find a redundant vertex
-      deletes vertex(vertex->deleted)
-
-  notes:
-    only needed if vertex->delridge and hull_dim >= 4
-    may add degenerate facets to qh.facet_mergeset
-    doesn't change vertex->neighbors or create redundant facets
-
-  design:
-    intersect vertices of all facet neighbors of vertex
-    determine ridges for these vertices
-    if find a new vertex for vertex amoung these ridges and vertices
-      rename vertex to the new vertex
-*/
-vertexT *qh_redundant_vertex(vertexT *vertex) {
-  vertexT *newvertex= NULL;
-  setT *vertices, *ridges;
-
-  trace3((qh ferr, 3008, "qh_redundant_vertex: check if v%d can be renamed\n", vertex->id));
-  if ((vertices= qh_neighbor_intersections(vertex))) {
-    ridges= qh_vertexridges(vertex);
-    if ((newvertex= qh_find_newvertex(vertex, vertices, ridges)))
-      qh_renamevertex(vertex, newvertex, ridges, NULL, NULL);
-    qh_settempfree(&ridges);
-    qh_settempfree(&vertices);
-  }
-  return newvertex;
-} /* redundant_vertex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="remove_extravertices">-</a>
-
-  qh_remove_extravertices( facet )
-    remove extra vertices from non-simplicial facets
-
-  returns:
-    returns True if it finds them
-
-  design:
-    for each vertex in facet
-      if vertex not in a ridge (i.e., no longer used)
-        delete vertex from facet
-        delete facet from vertice's neighbors
-        unless vertex in another facet
-          add vertex to qh.del_vertices for later deletion
-*/
-boolT qh_remove_extravertices(facetT *facet) {
-  ridgeT *ridge, **ridgep;
-  vertexT *vertex, **vertexp;
-  boolT foundrem= False;
-
-  trace4((qh ferr, 4043, "qh_remove_extravertices: test f%d for extra vertices\n",
-          facet->id));
-  FOREACHvertex_(facet->vertices)
-    vertex->seen= False;
-  FOREACHridge_(facet->ridges) {
-    FOREACHvertex_(ridge->vertices)
-      vertex->seen= True;
-  }
-  FOREACHvertex_(facet->vertices) {
-    if (!vertex->seen) {
-      foundrem= True;
-      zinc_(Zremvertex);
-      qh_setdelsorted(facet->vertices, vertex);
-      qh_setdel(vertex->neighbors, facet);
-      if (!qh_setsize(vertex->neighbors)) {
-        vertex->deleted= True;
-        qh_setappend(&qh del_vertices, vertex);
-        zinc_(Zremvertexdel);
-        trace2((qh ferr, 2036, "qh_remove_extravertices: v%d deleted because it's lost all ridges\n", vertex->id));
-      }else
-        trace3((qh ferr, 3009, "qh_remove_extravertices: v%d removed from f%d because it's lost all ridges\n", vertex->id, facet->id));
-      vertexp--; /*repeat*/
-    }
-  }
-  return foundrem;
-} /* remove_extravertices */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="rename_sharedvertex">-</a>
-
-  qh_rename_sharedvertex( vertex, facet )
-    detect and rename if shared vertex in facet
-    vertices have full ->neighbors
-
-  returns:
-    newvertex or NULL
-    the vertex may still exist in other facets (i.e., a neighbor was pinched)
-    does not change facet->neighbors
-    updates vertex->neighbors
-
-  notes:
-    a shared vertex for a facet is only in ridges to one neighbor
-    this may undo a pinched facet
-
-    it does not catch pinches involving multiple facets.  These appear
-      to be difficult to detect, since an exhaustive search is too expensive.
-
-  design:
-    if vertex only has two neighbors
-      determine the ridges that contain the vertex
-      determine the vertices shared by both neighbors
-      if can find a new vertex in this set
-        rename the vertex to the new vertex
-*/
-vertexT *qh_rename_sharedvertex(vertexT *vertex, facetT *facet) {
-  facetT *neighbor, **neighborp, *neighborA= NULL;
-  setT *vertices, *ridges;
-  vertexT *newvertex;
-
-  if (qh_setsize(vertex->neighbors) == 2) {
-    neighborA= SETfirstt_(vertex->neighbors, facetT);
-    if (neighborA == facet)
-      neighborA= SETsecondt_(vertex->neighbors, facetT);
-  }else if (qh hull_dim == 3)
-    return NULL;
-  else {
-    qh visit_id++;
-    FOREACHneighbor_(facet)
-      neighbor->visitid= qh visit_id;
-    FOREACHneighbor_(vertex) {
-      if (neighbor->visitid == qh visit_id) {
-        if (neighborA)
-          return NULL;
-        neighborA= neighbor;
-      }
-    }
-    if (!neighborA) {
-      qh_fprintf(qh ferr, 6101, "qhull internal error (qh_rename_sharedvertex): v%d's neighbors not in f%d\n",
-        vertex->id, facet->id);
-      qh_errprint("ERRONEOUS", facet, NULL, NULL, vertex);
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-    }
-  }
-  /* the vertex is shared by facet and neighborA */
-  ridges= qh_settemp(qh TEMPsize);
-  neighborA->visitid= ++qh visit_id;
-  qh_vertexridges_facet(vertex, facet, &ridges);
-  trace2((qh ferr, 2037, "qh_rename_sharedvertex: p%d(v%d) is shared by f%d(%d ridges) and f%d\n",
-    qh_pointid(vertex->point), vertex->id, facet->id, qh_setsize(ridges), neighborA->id));
-  zinc_(Zintersectnum);
-  vertices= qh_vertexintersect_new(facet->vertices, neighborA->vertices);
-  qh_setdel(vertices, vertex);
-  qh_settemppush(vertices);
-  if ((newvertex= qh_find_newvertex(vertex, vertices, ridges)))
-    qh_renamevertex(vertex, newvertex, ridges, facet, neighborA);
-  qh_settempfree(&vertices);
-  qh_settempfree(&ridges);
-  return newvertex;
-} /* rename_sharedvertex */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="renameridgevertex">-</a>
-
-  qh_renameridgevertex( ridge, oldvertex, newvertex )
-    renames oldvertex as newvertex in ridge
-
-  returns:
-
-  design:
-    delete oldvertex from ridge
-    if newvertex already in ridge
-      copy ridge->noconvex to another ridge if possible
-      delete the ridge
-    else
-      insert newvertex into the ridge
-      adjust the ridge's orientation
-*/
-void qh_renameridgevertex(ridgeT *ridge, vertexT *oldvertex, vertexT *newvertex) {
-  int nth= 0, oldnth;
-  facetT *temp;
-  vertexT *vertex, **vertexp;
-
-  oldnth= qh_setindex(ridge->vertices, oldvertex);
-  qh_setdelnthsorted(ridge->vertices, oldnth);
-  FOREACHvertex_(ridge->vertices) {
-    if (vertex == newvertex) {
-      zinc_(Zdelridge);
-      if (ridge->nonconvex) /* only one ridge has nonconvex set */
-        qh_copynonconvex(ridge);
-      qh_delridge(ridge);
-      trace2((qh ferr, 2038, "qh_renameridgevertex: ridge r%d deleted.  It contained both v%d and v%d\n",
-        ridge->id, oldvertex->id, newvertex->id));
-      return;
-    }
-    if (vertex->id < newvertex->id)
-      break;
-    nth++;
-  }
-  qh_setaddnth(&ridge->vertices, nth, newvertex);
-  if (abs(oldnth - nth)%2) {
-    trace3((qh ferr, 3010, "qh_renameridgevertex: swapped the top and bottom of ridge r%d\n",
-            ridge->id));
-    temp= ridge->top;
-    ridge->top= ridge->bottom;
-    ridge->bottom= temp;
-  }
-} /* renameridgevertex */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="renamevertex">-</a>
-
-  qh_renamevertex( oldvertex, newvertex, ridges, oldfacet, neighborA )
-    renames oldvertex as newvertex in ridges
-    gives oldfacet/neighborA if oldvertex is shared between two facets
-
-  returns:
-    oldvertex may still exist afterwards
-
-
-  notes:
-    can not change neighbors of newvertex (since it's a subset)
-
-  design:
-    for each ridge in ridges
-      rename oldvertex to newvertex and delete degenerate ridges
-    if oldfacet not defined
-      for each neighbor of oldvertex
-        delete oldvertex from neighbor's vertices
-        remove extra vertices from neighbor
-      add oldvertex to qh.del_vertices
-    else if oldvertex only between oldfacet and neighborA
-      delete oldvertex from oldfacet and neighborA
-      add oldvertex to qh.del_vertices
-    else oldvertex is in oldfacet and neighborA and other facets (i.e., pinched)
-      delete oldvertex from oldfacet
-      delete oldfacet from oldvertice's neighbors
-      remove extra vertices (e.g., oldvertex) from neighborA
-*/
-void qh_renamevertex(vertexT *oldvertex, vertexT *newvertex, setT *ridges, facetT *oldfacet, facetT *neighborA) {
-  facetT *neighbor, **neighborp;
-  ridgeT *ridge, **ridgep;
-  boolT istrace= False;
-
-  if (qh IStracing >= 2 || oldvertex->id == qh tracevertex_id ||
-        newvertex->id == qh tracevertex_id)
-    istrace= True;
-  FOREACHridge_(ridges)
-    qh_renameridgevertex(ridge, oldvertex, newvertex);
-  if (!oldfacet) {
-    zinc_(Zrenameall);
-    if (istrace)
-      qh_fprintf(qh ferr, 8082, "qh_renamevertex: renamed v%d to v%d in several facets\n",
-               oldvertex->id, newvertex->id);
-    FOREACHneighbor_(oldvertex) {
-      qh_maydropneighbor(neighbor);
-      qh_setdelsorted(neighbor->vertices, oldvertex);
-      if (qh_remove_extravertices(neighbor))
-        neighborp--; /* neighbor may be deleted */
-    }
-    if (!oldvertex->deleted) {
-      oldvertex->deleted= True;
-      qh_setappend(&qh del_vertices, oldvertex);
-    }
-  }else if (qh_setsize(oldvertex->neighbors) == 2) {
-    zinc_(Zrenameshare);
-    if (istrace)
-      qh_fprintf(qh ferr, 8083, "qh_renamevertex: renamed v%d to v%d in oldfacet f%d\n",
-               oldvertex->id, newvertex->id, oldfacet->id);
-    FOREACHneighbor_(oldvertex)
-      qh_setdelsorted(neighbor->vertices, oldvertex);
-    oldvertex->deleted= True;
-    qh_setappend(&qh del_vertices, oldvertex);
-  }else {
-    zinc_(Zrenamepinch);
-    if (istrace || qh IStracing)
-      qh_fprintf(qh ferr, 8084, "qh_renamevertex: renamed pinched v%d to v%d between f%d and f%d\n",
-               oldvertex->id, newvertex->id, oldfacet->id, neighborA->id);
-    qh_setdelsorted(oldfacet->vertices, oldvertex);
-    qh_setdel(oldvertex->neighbors, oldfacet);
-    qh_remove_extravertices(neighborA);
-  }
-} /* renamevertex */
-
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="test_appendmerge">-</a>
-
-  qh_test_appendmerge( facet, neighbor )
-    tests facet/neighbor for convexity
-    appends to mergeset if non-convex
-    if pre-merging,
-      nop if qh.SKIPconvex, or qh.MERGEexact and coplanar
-
-  returns:
-    true if appends facet/neighbor to mergeset
-    sets facet->center as needed
-    does not change facet->seen
-
-  design:
-    if qh.cos_max is defined
-      if the angle between facet normals is too shallow
-        append an angle-coplanar merge to qh.mergeset
-        return True
-    make facet's centrum if needed
-    if facet's centrum is above the neighbor
-      set isconcave
-    else
-      if facet's centrum is not below the neighbor
-        set iscoplanar
-      make neighbor's centrum if needed
-      if neighbor's centrum is above the facet
-        set isconcave
-      else if neighbor's centrum is not below the facet
-        set iscoplanar
-   if isconcave or iscoplanar
-     get angle if needed
-     append concave or coplanar merge to qh.mergeset
-*/
-boolT qh_test_appendmerge(facetT *facet, facetT *neighbor) {
-  realT dist, dist2= -REALmax, angle= -REALmax;
-  boolT isconcave= False, iscoplanar= False, okangle= False;
-
-  if (qh SKIPconvex && !qh POSTmerging)
-    return False;
-  if ((!qh MERGEexact || qh POSTmerging) && qh cos_max < REALmax/2) {
-    angle= qh_getangle(facet->normal, neighbor->normal);
-    zinc_(Zangletests);
-    if (angle > qh cos_max) {
-      zinc_(Zcoplanarangle);
-      qh_appendmergeset(facet, neighbor, MRGanglecoplanar, &angle);
-      trace2((qh ferr, 2039, "qh_test_appendmerge: coplanar angle %4.4g between f%d and f%d\n",
-         angle, facet->id, neighbor->id));
-      return True;
-    }else
-      okangle= True;
-  }
-  if (!facet->center)
-    facet->center= qh_getcentrum(facet);
-  zzinc_(Zcentrumtests);
-  qh_distplane(facet->center, neighbor, &dist);
-  if (dist > qh centrum_radius)
-    isconcave= True;
-  else {
-    if (dist > -qh centrum_radius)
-      iscoplanar= True;
-    if (!neighbor->center)
-      neighbor->center= qh_getcentrum(neighbor);
-    zzinc_(Zcentrumtests);
-    qh_distplane(neighbor->center, facet, &dist2);
-    if (dist2 > qh centrum_radius)
-      isconcave= True;
-    else if (!iscoplanar && dist2 > -qh centrum_radius)
-      iscoplanar= True;
-  }
-  if (!isconcave && (!iscoplanar || (qh MERGEexact && !qh POSTmerging)))
-    return False;
-  if (!okangle && qh ANGLEmerge) {
-    angle= qh_getangle(facet->normal, neighbor->normal);
-    zinc_(Zangletests);
-  }
-  if (isconcave) {
-    zinc_(Zconcaveridge);
-    if (qh ANGLEmerge)
-      angle += qh_ANGLEconcave + 0.5;
-    qh_appendmergeset(facet, neighbor, MRGconcave, &angle);
-    trace0((qh ferr, 18, "qh_test_appendmerge: concave f%d to f%d dist %4.4g and reverse dist %4.4g angle %4.4g during p%d\n",
-           facet->id, neighbor->id, dist, dist2, angle, qh furthest_id));
-  }else /* iscoplanar */ {
-    zinc_(Zcoplanarcentrum);
-    qh_appendmergeset(facet, neighbor, MRGcoplanar, &angle);
-    trace2((qh ferr, 2040, "qh_test_appendmerge: coplanar f%d to f%d dist %4.4g, reverse dist %4.4g angle %4.4g\n",
-              facet->id, neighbor->id, dist, dist2, angle));
-  }
-  return True;
-} /* test_appendmerge */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="test_vneighbors">-</a>
-
-  qh_test_vneighbors()
-    test vertex neighbors for convexity
-    tests all facets on qh.newfacet_list
-
-  returns:
-    true if non-convex vneighbors appended to qh.facet_mergeset
-    initializes vertex neighbors if needed
-
-  notes:
-    assumes all facet neighbors have been tested
-    this can be expensive
-    this does not guarantee that a centrum is below all facets
-      but it is unlikely
-    uses qh.visit_id
-
-  design:
-    build vertex neighbors if necessary
-    for all new facets
-      for all vertices
-        for each unvisited facet neighbor of the vertex
-          test new facet and neighbor for convexity
-*/
-boolT qh_test_vneighbors(void /* qh newfacet_list */) {
-  facetT *newfacet, *neighbor, **neighborp;
-  vertexT *vertex, **vertexp;
-  int nummerges= 0;
-
-  trace1((qh ferr, 1015, "qh_test_vneighbors: testing vertex neighbors for convexity\n"));
-  if (!qh VERTEXneighbors)
-    qh_vertexneighbors();
-  FORALLnew_facets
-    newfacet->seen= False;
-  FORALLnew_facets {
-    newfacet->seen= True;
-    newfacet->visitid= qh visit_id++;
-    FOREACHneighbor_(newfacet)
-      newfacet->visitid= qh visit_id;
-    FOREACHvertex_(newfacet->vertices) {
-      FOREACHneighbor_(vertex) {
-        if (neighbor->seen || neighbor->visitid == qh visit_id)
-          continue;
-        if (qh_test_appendmerge(newfacet, neighbor))
-          nummerges++;
-      }
-    }
-  }
-  zadd_(Ztestvneighbor, nummerges);
-  trace1((qh ferr, 1016, "qh_test_vneighbors: found %d non-convex, vertex neighbors\n",
-           nummerges));
-  return (nummerges > 0);
-} /* test_vneighbors */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="tracemerge">-</a>
-
-  qh_tracemerge( facet1, facet2 )
-    print trace message after merge
-*/
-void qh_tracemerge(facetT *facet1, facetT *facet2) {
-  boolT waserror= False;
-
-#ifndef qh_NOtrace
-  if (qh IStracing >= 4)
-    qh_errprint("MERGED", facet2, NULL, NULL, NULL);
-  if (facet2 == qh tracefacet || (qh tracevertex && qh tracevertex->newlist)) {
-    qh_fprintf(qh ferr, 8085, "qh_tracemerge: trace facet and vertex after merge of f%d and f%d, furthest p%d\n", facet1->id, facet2->id, qh furthest_id);
-    if (facet2 != qh tracefacet)
-      qh_errprint("TRACE", qh tracefacet,
-        (qh tracevertex && qh tracevertex->neighbors) ?
-           SETfirstt_(qh tracevertex->neighbors, facetT) : NULL,
-        NULL, qh tracevertex);
-  }
-  if (qh tracevertex) {
-    if (qh tracevertex->deleted)
-      qh_fprintf(qh ferr, 8086, "qh_tracemerge: trace vertex deleted at furthest p%d\n",
-            qh furthest_id);
-    else
-      qh_checkvertex(qh tracevertex);
-  }
-  if (qh tracefacet) {
-    qh_checkfacet(qh tracefacet, True, &waserror);
-    if (waserror)
-      qh_errexit(qh_ERRqhull, qh tracefacet, NULL);
-  }
-#endif /* !qh_NOtrace */
-  if (qh CHECKfrequently || qh IStracing >= 4) { /* can't check polygon here */
-    qh_checkfacet(facet2, True, &waserror);
-    if (waserror)
-      qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-} /* tracemerge */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="tracemerging">-</a>
-
-  qh_tracemerging()
-    print trace message during POSTmerging
-
-  returns:
-    updates qh.mergereport
-
-  notes:
-    called from qh_mergecycle() and qh_mergefacet()
-
-  see:
-    qh_buildtracing()
-*/
-void qh_tracemerging(void) {
-  realT cpu;
-  int total;
-  time_t timedata;
-  struct tm *tp;
-
-  qh mergereport= zzval_(Ztotmerge);
-  time(&timedata);
-  tp= localtime(&timedata);
-  cpu= qh_CPUclock;
-  cpu /= qh_SECticks;
-  total= zzval_(Ztotmerge) - zzval_(Zcyclehorizon) + zzval_(Zcyclefacettot);
-  qh_fprintf(qh ferr, 8087, "\n\
-At %d:%d:%d & %2.5g CPU secs, qhull has merged %d facets.  The hull\n\
-  contains %d facets and %d vertices.\n",
-      tp->tm_hour, tp->tm_min, tp->tm_sec, cpu,
-      total, qh num_facets - qh num_visible,
-      qh num_vertices-qh_setsize(qh del_vertices));
-} /* tracemerging */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="updatetested">-</a>
-
-  qh_updatetested( facet1, facet2 )
-    clear facet2->tested and facet1->ridge->tested for merge
-
-  returns:
-    deletes facet2->center unless it's already large
-      if so, clears facet2->ridge->tested
-
-  design:
-    clear facet2->tested
-    clear ridge->tested for facet1's ridges
-    if facet2 has a centrum
-      if facet2 is large
-        set facet2->keepcentrum
-      else if facet2 has 3 vertices due to many merges, or not large and post merging
-        clear facet2->keepcentrum
-      unless facet2->keepcentrum
-        clear facet2->center to recompute centrum later
-        clear ridge->tested for facet2's ridges
-*/
-void qh_updatetested(facetT *facet1, facetT *facet2) {
-  ridgeT *ridge, **ridgep;
-  int size;
-
-  facet2->tested= False;
-  FOREACHridge_(facet1->ridges)
-    ridge->tested= False;
-  if (!facet2->center)
-    return;
-  size= qh_setsize(facet2->vertices);
-  if (!facet2->keepcentrum) {
-    if (size > qh hull_dim + qh_MAXnewcentrum) {
-      facet2->keepcentrum= True;
-      zinc_(Zwidevertices);
-    }
-  }else if (size <= qh hull_dim + qh_MAXnewcentrum) {
-    /* center and keepcentrum was set */
-    if (size == qh hull_dim || qh POSTmerging)
-      facet2->keepcentrum= False; /* if many merges need to recompute centrum */
-  }
-  if (!facet2->keepcentrum) {
-    qh_memfree(facet2->center, qh normal_size);
-    facet2->center= NULL;
-    FOREACHridge_(facet2->ridges)
-      ridge->tested= False;
-  }
-} /* updatetested */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="vertexridges">-</a>
-
-  qh_vertexridges( vertex )
-    return temporary set of ridges adjacent to a vertex
-    vertex->neighbors defined
-
-  ntoes:
-    uses qh.visit_id
-    does not include implicit ridges for simplicial facets
-
-  design:
-    for each neighbor of vertex
-      add ridges that include the vertex to ridges
-*/
-setT *qh_vertexridges(vertexT *vertex) {
-  facetT *neighbor, **neighborp;
-  setT *ridges= qh_settemp(qh TEMPsize);
-  int size;
-
-  qh visit_id++;
-  FOREACHneighbor_(vertex)
-    neighbor->visitid= qh visit_id;
-  FOREACHneighbor_(vertex) {
-    if (*neighborp)   /* no new ridges in last neighbor */
-      qh_vertexridges_facet(vertex, neighbor, &ridges);
-  }
-  if (qh PRINTstatistics || qh IStracing) {
-    size= qh_setsize(ridges);
-    zinc_(Zvertexridge);
-    zadd_(Zvertexridgetot, size);
-    zmax_(Zvertexridgemax, size);
-    trace3((qh ferr, 3011, "qh_vertexridges: found %d ridges for v%d\n",
-             size, vertex->id));
-  }
-  return ridges;
-} /* vertexridges */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="vertexridges_facet">-</a>
-
-  qh_vertexridges_facet( vertex, facet, ridges )
-    add adjacent ridges for vertex in facet
-    neighbor->visitid==qh.visit_id if it hasn't been visited
-
-  returns:
-    ridges updated
-    sets facet->visitid to qh.visit_id-1
-
-  design:
-    for each ridge of facet
-      if ridge of visited neighbor (i.e., unprocessed)
-        if vertex in ridge
-          append ridge to vertex
-    mark facet processed
-*/
-void qh_vertexridges_facet(vertexT *vertex, facetT *facet, setT **ridges) {
-  ridgeT *ridge, **ridgep;
-  facetT *neighbor;
-
-  FOREACHridge_(facet->ridges) {
-    neighbor= otherfacet_(ridge, facet);
-    if (neighbor->visitid == qh visit_id
-    && qh_setin(ridge->vertices, vertex))
-      qh_setappend(ridges, ridge);
-  }
-  facet->visitid= qh visit_id-1;
-} /* vertexridges_facet */
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >-------------------------------</a><a name="willdelete">-</a>
-
-  qh_willdelete( facet, replace )
-    moves facet to visible list
-    sets facet->f.replace to replace (may be NULL)
-
-  returns:
-    bumps qh.num_visible
-*/
-void qh_willdelete(facetT *facet, facetT *replace) {
-
-  qh_removefacet(facet);
-  qh_prependfacet(facet, &qh visible_list);
-  qh num_visible++;
-  facet->visible= True;
-  facet->f.replace= replace;
-} /* willdelete */
-
-#else /* qh_NOmerge */
-void qh_premerge(vertexT *apex, realT maxcentrum, realT maxangle) {
-}
-void qh_postmerge(const char *reason, realT maxcentrum, realT maxangle,
-                      boolT vneighbors) {
-}
-boolT qh_checkzero(boolT testall) {
-   }
-#endif /* qh_NOmerge */
diff --git a/extern/qhull/merge.h b/extern/qhull/merge.h
deleted file mode 100644
index da0fb53e7815..000000000000
--- a/extern/qhull/merge.h
+++ /dev/null
@@ -1,178 +0,0 @@
-/*<html><pre>  -<a                             href="qh-merge.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   merge.h
-   header file for merge.c
-
-   see qh-merge.htm and merge.c
-
-   Copyright (c) 1993-2012 C.B. Barber.
-   $Id: //main/2011/qhull/src/libqhull/merge.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFmerge
-#define qhDEFmerge 1
-
-#include "libqhull.h"
-
-
-/*============ -constants- ==============*/
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="qh_ANGLEredundant">-</a>
-
-  qh_ANGLEredundant
-    indicates redundant merge in mergeT->angle
-*/
-#define qh_ANGLEredundant 6.0
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="qh_ANGLEdegen">-</a>
-
-  qh_ANGLEdegen
-    indicates degenerate facet in mergeT->angle
-*/
-#define qh_ANGLEdegen     5.0
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="qh_ANGLEconcave">-</a>
-
-  qh_ANGLEconcave
-    offset to indicate concave facets in mergeT->angle
-
-  notes:
-    concave facets are assigned the range of [2,4] in mergeT->angle
-    roundoff error may make the angle less than 2
-*/
-#define qh_ANGLEconcave  1.5
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="MRG">-</a>
-
-  MRG... (mergeType)
-    indicates the type of a merge (mergeT->type)
-*/
-typedef enum {  /* in sort order for facet_mergeset */
-  MRGnone= 0,
-  MRGcoplanar,          /* centrum coplanar */
-  MRGanglecoplanar,     /* angle coplanar */
-                        /* could detect half concave ridges */
-  MRGconcave,           /* concave ridge */
-  MRGflip,              /* flipped facet. facet1 == facet2 */
-  MRGridge,             /* duplicate ridge (qh_MERGEridge) */
-                        /* degen and redundant go onto degen_mergeset */
-  MRGdegen,             /* degenerate facet (!enough neighbors) facet1 == facet2 */
-  MRGredundant,         /* redundant facet (vertex subset) */
-                        /* merge_degenredundant assumes degen < redundant */
-  MRGmirror,            /* mirror facet from qh_triangulate */
-  ENDmrg
-} mergeType;
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="qh_MERGEapex">-</a>
-
-  qh_MERGEapex
-    flag for qh_mergefacet() to indicate an apex merge
-*/
-#define qh_MERGEapex     True
-
-/*============ -structures- ====================*/
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="mergeT">-</a>
-
-  mergeT
-    structure used to merge facets
-*/
-
-typedef struct mergeT mergeT;
-struct mergeT {         /* initialize in qh_appendmergeset */
-  realT   angle;        /* angle between normals of facet1 and facet2 */
-  facetT *facet1;       /* will merge facet1 into facet2 */
-  facetT *facet2;
-  mergeType type;
-};
-
-
-/*=========== -macros- =========================*/
-
-/*-<a                             href="qh-merge.htm#TOC"
-  >--------------------------------</a><a name="FOREACHmerge_">-</a>
-
-  FOREACHmerge_( merges ) {...}
-    assign 'merge' to each merge in merges
-
-  notes:
-    uses 'mergeT *merge, **mergep;'
-    if qh_mergefacet(),
-      restart since qh.facet_mergeset may change
-    see <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHmerge_( merges ) FOREACHsetelement_(mergeT, merges, merge)
-
-/*============ prototypes in alphabetical order after pre/postmerge =======*/
-
-void    qh_premerge(vertexT *apex, realT maxcentrum, realT maxangle);
-void    qh_postmerge(const char *reason, realT maxcentrum, realT maxangle,
-             boolT vneighbors);
-void    qh_all_merges(boolT othermerge, boolT vneighbors);
-void    qh_appendmergeset(facetT *facet, facetT *neighbor, mergeType mergetype, realT *angle);
-setT   *qh_basevertices( facetT *samecycle);
-void    qh_checkconnect(void /* qh new_facets */);
-boolT   qh_checkzero(boolT testall);
-int     qh_compareangle(const void *p1, const void *p2);
-int     qh_comparemerge(const void *p1, const void *p2);
-int     qh_comparevisit(const void *p1, const void *p2);
-void    qh_copynonconvex(ridgeT *atridge);
-void    qh_degen_redundant_facet(facetT *facet);
-void    qh_degen_redundant_neighbors(facetT *facet, facetT *delfacet);
-vertexT *qh_find_newvertex(vertexT *oldvertex, setT *vertices, setT *ridges);
-void    qh_findbest_test(boolT testcentrum, facetT *facet, facetT *neighbor,
-           facetT **bestfacet, realT *distp, realT *mindistp, realT *maxdistp);
-facetT *qh_findbestneighbor(facetT *facet, realT *distp, realT *mindistp, realT *maxdistp);
-void    qh_flippedmerges(facetT *facetlist, boolT *wasmerge);
-void    qh_forcedmerges( boolT *wasmerge);
-void    qh_getmergeset(facetT *facetlist);
-void    qh_getmergeset_initial(facetT *facetlist);
-void    qh_hashridge(setT *hashtable, int hashsize, ridgeT *ridge, vertexT *oldvertex);
-ridgeT *qh_hashridge_find(setT *hashtable, int hashsize, ridgeT *ridge,
-              vertexT *vertex, vertexT *oldvertex, int *hashslot);
-void    qh_makeridges(facetT *facet);
-void    qh_mark_dupridges(facetT *facetlist);
-void    qh_maydropneighbor(facetT *facet);
-int     qh_merge_degenredundant(void);
-void    qh_merge_nonconvex( facetT *facet1, facetT *facet2, mergeType mergetype);
-void    qh_mergecycle(facetT *samecycle, facetT *newfacet);
-void    qh_mergecycle_all(facetT *facetlist, boolT *wasmerge);
-void    qh_mergecycle_facets( facetT *samecycle, facetT *newfacet);
-void    qh_mergecycle_neighbors(facetT *samecycle, facetT *newfacet);
-void    qh_mergecycle_ridges(facetT *samecycle, facetT *newfacet);
-void    qh_mergecycle_vneighbors( facetT *samecycle, facetT *newfacet);
-void    qh_mergefacet(facetT *facet1, facetT *facet2, realT *mindist, realT *maxdist, boolT mergeapex);
-void    qh_mergefacet2d(facetT *facet1, facetT *facet2);
-void    qh_mergeneighbors(facetT *facet1, facetT *facet2);
-void    qh_mergeridges(facetT *facet1, facetT *facet2);
-void    qh_mergesimplex(facetT *facet1, facetT *facet2, boolT mergeapex);
-void    qh_mergevertex_del(vertexT *vertex, facetT *facet1, facetT *facet2);
-void    qh_mergevertex_neighbors(facetT *facet1, facetT *facet2);
-void    qh_mergevertices(setT *vertices1, setT **vertices);
-setT   *qh_neighbor_intersections(vertexT *vertex);
-void    qh_newvertices(setT *vertices);
-boolT   qh_reducevertices(void);
-vertexT *qh_redundant_vertex(vertexT *vertex);
-boolT   qh_remove_extravertices(facetT *facet);
-vertexT *qh_rename_sharedvertex(vertexT *vertex, facetT *facet);
-void    qh_renameridgevertex(ridgeT *ridge, vertexT *oldvertex, vertexT *newvertex);
-void    qh_renamevertex(vertexT *oldvertex, vertexT *newvertex, setT *ridges,
-                        facetT *oldfacet, facetT *neighborA);
-boolT   qh_test_appendmerge(facetT *facet, facetT *neighbor);
-boolT   qh_test_vneighbors(void /* qh newfacet_list */);
-void    qh_tracemerge(facetT *facet1, facetT *facet2);
-void    qh_tracemerging(void);
-void    qh_updatetested( facetT *facet1, facetT *facet2);
-setT   *qh_vertexridges(vertexT *vertex);
-void    qh_vertexridges_facet(vertexT *vertex, facetT *facet, setT **ridges);
-void    qh_willdelete(facetT *facet, facetT *replace);
-
-#endif /* qhDEFmerge */
diff --git a/extern/qhull/poly.c b/extern/qhull/poly.c
deleted file mode 100644
index 436cbad20547..000000000000
--- a/extern/qhull/poly.c
+++ /dev/null
@@ -1,1196 +0,0 @@
-/*<html><pre>  -<a                             href="qh-poly.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   poly.c
-   implements polygons and simplices
-
-   see qh-poly.htm, poly.h and libqhull.h
-
-   infrequent code is in poly2.c
-   (all but top 50 and their callers 12/3/95)
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/poly.c#5 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-/*======== functions in alphabetical order ==========*/
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="appendfacet">-</a>
-
-  qh_appendfacet( facet )
-    appends facet to end of qh.facet_list,
-
-  returns:
-    updates qh.newfacet_list, facet_next, facet_list
-    increments qh.numfacets
-
-  notes:
-    assumes qh.facet_list/facet_tail is defined (createsimplex)
-
-  see:
-    qh_removefacet()
-
-*/
-void qh_appendfacet(facetT *facet) {
-  facetT *tail= qh facet_tail;
-
-  if (tail == qh newfacet_list)
-    qh newfacet_list= facet;
-  if (tail == qh facet_next)
-    qh facet_next= facet;
-  facet->previous= tail->previous;
-  facet->next= tail;
-  if (tail->previous)
-    tail->previous->next= facet;
-  else
-    qh facet_list= facet;
-  tail->previous= facet;
-  qh num_facets++;
-  trace4((qh ferr, 4044, "qh_appendfacet: append f%d to facet_list\n", facet->id));
-} /* appendfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="appendvertex">-</a>
-
-  qh_appendvertex( vertex )
-    appends vertex to end of qh.vertex_list,
-
-  returns:
-    sets vertex->newlist
-    updates qh.vertex_list, newvertex_list
-    increments qh.num_vertices
-
-  notes:
-    assumes qh.vertex_list/vertex_tail is defined (createsimplex)
-
-*/
-void qh_appendvertex(vertexT *vertex) {
-  vertexT *tail= qh vertex_tail;
-
-  if (tail == qh newvertex_list)
-    qh newvertex_list= vertex;
-  vertex->newlist= True;
-  vertex->previous= tail->previous;
-  vertex->next= tail;
-  if (tail->previous)
-    tail->previous->next= vertex;
-  else
-    qh vertex_list= vertex;
-  tail->previous= vertex;
-  qh num_vertices++;
-  trace4((qh ferr, 4045, "qh_appendvertex: append v%d to vertex_list\n", vertex->id));
-} /* appendvertex */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="attachnewfacets">-</a>
-
-  qh_attachnewfacets( )
-    attach horizon facets to new facets in qh.newfacet_list
-    newfacets have neighbor and ridge links to horizon but not vice versa
-    only needed for qh.ONLYgood
-
-  returns:
-    set qh.NEWfacets
-    horizon facets linked to new facets
-      ridges changed from visible facets to new facets
-      simplicial ridges deleted
-    qh.visible_list, no ridges valid
-    facet->f.replace is a newfacet (if any)
-
-  design:
-    delete interior ridges and neighbor sets by
-      for each visible, non-simplicial facet
-        for each ridge
-          if last visit or if neighbor is simplicial
-            if horizon neighbor
-              delete ridge for horizon's ridge set
-            delete ridge
-        erase neighbor set
-    attach horizon facets and new facets by
-      for all new facets
-        if corresponding horizon facet is simplicial
-          locate corresponding visible facet {may be more than one}
-          link visible facet to new facet
-          replace visible facet with new facet in horizon
-        else it's non-simplicial
-          for all visible neighbors of the horizon facet
-            link visible neighbor to new facet
-            delete visible neighbor from horizon facet
-          append new facet to horizon's neighbors
-          the first ridge of the new facet is the horizon ridge
-          link the new facet into the horizon ridge
-*/
-void qh_attachnewfacets(void ) {
-  facetT *newfacet= NULL, *neighbor, **neighborp, *horizon, *visible;
-  ridgeT *ridge, **ridgep;
-
-  qh NEWfacets= True;
-  trace3((qh ferr, 3012, "qh_attachnewfacets: delete interior ridges\n"));
-  qh visit_id++;
-  FORALLvisible_facets {
-    visible->visitid= qh visit_id;
-    if (visible->ridges) {
-      FOREACHridge_(visible->ridges) {
-        neighbor= otherfacet_(ridge, visible);
-        if (neighbor->visitid == qh visit_id
-            || (!neighbor->visible && neighbor->simplicial)) {
-          if (!neighbor->visible)  /* delete ridge for simplicial horizon */
-            qh_setdel(neighbor->ridges, ridge);
-          qh_setfree(&(ridge->vertices)); /* delete on 2nd visit */
-          qh_memfree(ridge, (int)sizeof(ridgeT));
-        }
-      }
-      SETfirst_(visible->ridges)= NULL;
-    }
-    SETfirst_(visible->neighbors)= NULL;
-  }
-  trace1((qh ferr, 1017, "qh_attachnewfacets: attach horizon facets to new facets\n"));
-  FORALLnew_facets {
-    horizon= SETfirstt_(newfacet->neighbors, facetT);
-    if (horizon->simplicial) {
-      visible= NULL;
-      FOREACHneighbor_(horizon) {   /* may have more than one horizon ridge */
-        if (neighbor->visible) {
-          if (visible) {
-            if (qh_setequal_skip(newfacet->vertices, 0, horizon->vertices,
-                                  SETindex_(horizon->neighbors, neighbor))) {
-              visible= neighbor;
-              break;
-            }
-          }else
-            visible= neighbor;
-        }
-      }
-      if (visible) {
-        visible->f.replace= newfacet;
-        qh_setreplace(horizon->neighbors, visible, newfacet);
-      }else {
-        qh_fprintf(qh ferr, 6102, "qhull internal error (qh_attachnewfacets): couldn't find visible facet for horizon f%d of newfacet f%d\n",
-                 horizon->id, newfacet->id);
-        qh_errexit2 (qh_ERRqhull, horizon, newfacet);
-      }
-    }else { /* non-simplicial, with a ridge for newfacet */
-      FOREACHneighbor_(horizon) {    /* may hold for many new facets */
-        if (neighbor->visible) {
-          neighbor->f.replace= newfacet;
-          qh_setdelnth(horizon->neighbors,
-                        SETindex_(horizon->neighbors, neighbor));
-          neighborp--; /* repeat */
-        }
-      }
-      qh_setappend(&horizon->neighbors, newfacet);
-      ridge= SETfirstt_(newfacet->ridges, ridgeT);
-      if (ridge->top == horizon)
-        ridge->bottom= newfacet;
-      else
-        ridge->top= newfacet;
-      }
-  } /* newfacets */
-  if (qh PRINTstatistics) {
-    FORALLvisible_facets {
-      if (!visible->f.replace)
-        zinc_(Zinsidevisible);
-    }
-  }
-} /* attachnewfacets */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkflipped">-</a>
-
-  qh_checkflipped( facet, dist, allerror )
-    checks facet orientation to interior point
-
-    if allerror set,
-      tests against qh.DISTround
-    else
-      tests against 0 since tested against DISTround before
-
-  returns:
-    False if it flipped orientation (sets facet->flipped)
-    distance if non-NULL
-*/
-boolT qh_checkflipped(facetT *facet, realT *distp, boolT allerror) {
-  realT dist;
-
-  if (facet->flipped && !distp)
-    return False;
-  zzinc_(Zdistcheck);
-  qh_distplane(qh interior_point, facet, &dist);
-  if (distp)
-    *distp= dist;
-  if ((allerror && dist > -qh DISTround)|| (!allerror && dist >= 0.0)) {
-    facet->flipped= True;
-    zzinc_(Zflippedfacets);
-    trace0((qh ferr, 19, "qh_checkflipped: facet f%d is flipped, distance= %6.12g during p%d\n",
-              facet->id, dist, qh furthest_id));
-    qh_precision("flipped facet");
-    return False;
-  }
-  return True;
-} /* checkflipped */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="delfacet">-</a>
-
-  qh_delfacet( facet )
-    removes facet from facet_list and frees up its memory
-
-  notes:
-    assumes vertices and ridges already freed
-*/
-void qh_delfacet(facetT *facet) {
-  void **freelistp; /* used !qh_NOmem */
-
-  trace4((qh ferr, 4046, "qh_delfacet: delete f%d\n", facet->id));
-  if (facet == qh tracefacet)
-    qh tracefacet= NULL;
-  if (facet == qh GOODclosest)
-    qh GOODclosest= NULL;
-  qh_removefacet(facet);
-  if (!facet->tricoplanar || facet->keepcentrum) {
-    qh_memfree_(facet->normal, qh normal_size, freelistp);
-    if (qh CENTERtype == qh_ASvoronoi) {   /* uses macro calls */
-      qh_memfree_(facet->center, qh center_size, freelistp);
-    }else /* AScentrum */ {
-      qh_memfree_(facet->center, qh normal_size, freelistp);
-    }
-  }
-  qh_setfree(&(facet->neighbors));
-  if (facet->ridges)
-    qh_setfree(&(facet->ridges));
-  qh_setfree(&(facet->vertices));
-  if (facet->outsideset)
-    qh_setfree(&(facet->outsideset));
-  if (facet->coplanarset)
-    qh_setfree(&(facet->coplanarset));
-  qh_memfree_(facet, (int)sizeof(facetT), freelistp);
-} /* delfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="deletevisible">-</a>
-
-  qh_deletevisible()
-    delete visible facets and vertices
-
-  returns:
-    deletes each facet and removes from facetlist
-    at exit, qh.visible_list empty (== qh.newfacet_list)
-
-  notes:
-    ridges already deleted
-    horizon facets do not reference facets on qh.visible_list
-    new facets in qh.newfacet_list
-    uses   qh.visit_id;
-*/
-void qh_deletevisible(void /*qh visible_list*/) {
-  facetT *visible, *nextfacet;
-  vertexT *vertex, **vertexp;
-  int numvisible= 0, numdel= qh_setsize(qh del_vertices);
-
-  trace1((qh ferr, 1018, "qh_deletevisible: delete %d visible facets and %d vertices\n",
-         qh num_visible, numdel));
-  for (visible= qh visible_list; visible && visible->visible;
-                visible= nextfacet) { /* deleting current */
-    nextfacet= visible->next;
-    numvisible++;
-    qh_delfacet(visible);
-  }
-  if (numvisible != qh num_visible) {
-    qh_fprintf(qh ferr, 6103, "qhull internal error (qh_deletevisible): qh num_visible %d is not number of visible facets %d\n",
-             qh num_visible, numvisible);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  qh num_visible= 0;
-  zadd_(Zvisfacettot, numvisible);
-  zmax_(Zvisfacetmax, numvisible);
-  zzadd_(Zdelvertextot, numdel);
-  zmax_(Zdelvertexmax, numdel);
-  FOREACHvertex_(qh del_vertices)
-    qh_delvertex(vertex);
-  qh_settruncate(qh del_vertices, 0);
-} /* deletevisible */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="facetintersect">-</a>
-
-  qh_facetintersect( facetA, facetB, skipa, skipB, prepend )
-    return vertices for intersection of two simplicial facets
-    may include 1 prepended entry (if more, need to settemppush)
-
-  returns:
-    returns set of qh.hull_dim-1 + prepend vertices
-    returns skipped index for each test and checks for exactly one
-
-  notes:
-    does not need settemp since set in quick memory
-
-  see also:
-    qh_vertexintersect and qh_vertexintersect_new
-    use qh_setnew_delnthsorted to get nth ridge (no skip information)
-
-  design:
-    locate skipped vertex by scanning facet A's neighbors
-    locate skipped vertex by scanning facet B's neighbors
-    intersect the vertex sets
-*/
-setT *qh_facetintersect(facetT *facetA, facetT *facetB,
-                         int *skipA,int *skipB, int prepend) {
-  setT *intersect;
-  int dim= qh hull_dim, i, j;
-  facetT **neighborsA, **neighborsB;
-
-  neighborsA= SETaddr_(facetA->neighbors, facetT);
-  neighborsB= SETaddr_(facetB->neighbors, facetT);
-  i= j= 0;
-  if (facetB == *neighborsA++)
-    *skipA= 0;
-  else if (facetB == *neighborsA++)
-    *skipA= 1;
-  else if (facetB == *neighborsA++)
-    *skipA= 2;
-  else {
-    for (i=3; i < dim; i++) {
-      if (facetB == *neighborsA++) {
-        *skipA= i;
-        break;
-      }
-    }
-  }
-  if (facetA == *neighborsB++)
-    *skipB= 0;
-  else if (facetA == *neighborsB++)
-    *skipB= 1;
-  else if (facetA == *neighborsB++)
-    *skipB= 2;
-  else {
-    for (j=3; j < dim; j++) {
-      if (facetA == *neighborsB++) {
-        *skipB= j;
-        break;
-      }
-    }
-  }
-  if (i >= dim || j >= dim) {
-    qh_fprintf(qh ferr, 6104, "qhull internal error (qh_facetintersect): f%d or f%d not in others neighbors\n",
-            facetA->id, facetB->id);
-    qh_errexit2 (qh_ERRqhull, facetA, facetB);
-  }
-  intersect= qh_setnew_delnthsorted(facetA->vertices, qh hull_dim, *skipA, prepend);
-  trace4((qh ferr, 4047, "qh_facetintersect: f%d skip %d matches f%d skip %d\n",
-          facetA->id, *skipA, facetB->id, *skipB));
-  return(intersect);
-} /* facetintersect */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="gethash">-</a>
-
-  qh_gethash( hashsize, set, size, firstindex, skipelem )
-    return hashvalue for a set with firstindex and skipelem
-
-  notes:
-    returned hash is in [0,hashsize)
-    assumes at least firstindex+1 elements
-    assumes skipelem is NULL, in set, or part of hash
-
-    hashes memory addresses which may change over different runs of the same data
-    using sum for hash does badly in high d
-*/
-int qh_gethash(int hashsize, setT *set, int size, int firstindex, void *skipelem) {
-  void **elemp= SETelemaddr_(set, firstindex, void);
-  ptr_intT hash = 0, elem;
-  unsigned result;
-  int i;
-#ifdef _MSC_VER                   /* Microsoft Visual C++ -- warn about 64-bit issues */
-#pragma warning( push)            /* WARN64 -- ptr_intT holds a 64-bit pointer */
-#pragma warning( disable : 4311)  /* 'type cast': pointer truncation from 'void*' to 'ptr_intT' */
-#endif
-
-  switch (size-firstindex) {
-  case 1:
-    hash= (ptr_intT)(*elemp) - (ptr_intT) skipelem;
-    break;
-  case 2:
-    hash= (ptr_intT)(*elemp) + (ptr_intT)elemp[1] - (ptr_intT) skipelem;
-    break;
-  case 3:
-    hash= (ptr_intT)(*elemp) + (ptr_intT)elemp[1] + (ptr_intT)elemp[2]
-      - (ptr_intT) skipelem;
-    break;
-  case 4:
-    hash= (ptr_intT)(*elemp) + (ptr_intT)elemp[1] + (ptr_intT)elemp[2]
-      + (ptr_intT)elemp[3] - (ptr_intT) skipelem;
-    break;
-  case 5:
-    hash= (ptr_intT)(*elemp) + (ptr_intT)elemp[1] + (ptr_intT)elemp[2]
-      + (ptr_intT)elemp[3] + (ptr_intT)elemp[4] - (ptr_intT) skipelem;
-    break;
-  case 6:
-    hash= (ptr_intT)(*elemp) + (ptr_intT)elemp[1] + (ptr_intT)elemp[2]
-      + (ptr_intT)elemp[3] + (ptr_intT)elemp[4]+ (ptr_intT)elemp[5]
-      - (ptr_intT) skipelem;
-    break;
-  default:
-    hash= 0;
-    i= 3;
-    do {     /* this is about 10% in 10-d */
-      if ((elem= (ptr_intT)*elemp++) != (ptr_intT)skipelem) {
-        hash ^= (elem << i) + (elem >> (32-i));
-        i += 3;
-        if (i >= 32)
-          i -= 32;
-      }
-    }while (*elemp);
-    break;
-  }
-  if (hashsize<0) {
-    qh_fprintf(qh ferr, 6202, "qhull internal error: negative hashsize %d passed to qh_gethash [poly.c]\n", hashsize);
-    qh_errexit2 (qh_ERRqhull, NULL, NULL);
-  }
-  result= (unsigned)hash;
-  result %= (unsigned)hashsize;
-  /* result= 0; for debugging */
-  return result;
-#ifdef _MSC_VER
-#pragma warning( pop)
-#endif
-} /* gethash */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="makenewfacet">-</a>
-
-  qh_makenewfacet( vertices, toporient, horizon )
-    creates a toporient? facet from vertices
-
-  returns:
-    returns newfacet
-      adds newfacet to qh.facet_list
-      newfacet->vertices= vertices
-      if horizon
-        newfacet->neighbor= horizon, but not vice versa
-    newvertex_list updated with vertices
-*/
-facetT *qh_makenewfacet(setT *vertices, boolT toporient,facetT *horizon) {
-  facetT *newfacet;
-  vertexT *vertex, **vertexp;
-
-  FOREACHvertex_(vertices) {
-    if (!vertex->newlist) {
-      qh_removevertex(vertex);
-      qh_appendvertex(vertex);
-    }
-  }
-  newfacet= qh_newfacet();
-  newfacet->vertices= vertices;
-  newfacet->toporient= (unsigned char)toporient;
-  if (horizon)
-    qh_setappend(&(newfacet->neighbors), horizon);
-  qh_appendfacet(newfacet);
-  return(newfacet);
-} /* makenewfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="makenewplanes">-</a>
-
-  qh_makenewplanes()
-    make new hyperplanes for facets on qh.newfacet_list
-
-  returns:
-    all facets have hyperplanes or are marked for   merging
-    doesn't create hyperplane if horizon is coplanar (will merge)
-    updates qh.min_vertex if qh.JOGGLEmax
-
-  notes:
-    facet->f.samecycle is defined for facet->mergehorizon facets
-*/
-void qh_makenewplanes(void /* newfacet_list */) {
-  facetT *newfacet;
-
-  FORALLnew_facets {
-    if (!newfacet->mergehorizon)
-      qh_setfacetplane(newfacet);
-  }
-  if (qh JOGGLEmax < REALmax/2)
-    minimize_(qh min_vertex, -wwval_(Wnewvertexmax));
-} /* makenewplanes */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="makenew_nonsimplicial">-</a>
-
-  qh_makenew_nonsimplicial( visible, apex, numnew )
-    make new facets for ridges of a visible facet
-
-  returns:
-    first newfacet, bumps numnew as needed
-    attaches new facets if !qh.ONLYgood
-    marks ridge neighbors for simplicial visible
-    if (qh.ONLYgood)
-      ridges on newfacet, horizon, and visible
-    else
-      ridge and neighbors between newfacet and   horizon
-      visible facet's ridges are deleted
-
-  notes:
-    qh.visit_id if visible has already been processed
-    sets neighbor->seen for building f.samecycle
-      assumes all 'seen' flags initially false
-
-  design:
-    for each ridge of visible facet
-      get neighbor of visible facet
-      if neighbor was already processed
-        delete the ridge (will delete all visible facets later)
-      if neighbor is a horizon facet
-        create a new facet
-        if neighbor coplanar
-          adds newfacet to f.samecycle for later merging
-        else
-          updates neighbor's neighbor set
-          (checks for non-simplicial facet with multiple ridges to visible facet)
-        updates neighbor's ridge set
-        (checks for simplicial neighbor to non-simplicial visible facet)
-        (deletes ridge if neighbor is simplicial)
-
-*/
-#ifndef qh_NOmerge
-facetT *qh_makenew_nonsimplicial(facetT *visible, vertexT *apex, int *numnew) {
-  void **freelistp; /* used !qh_NOmem */
-  ridgeT *ridge, **ridgep;
-  facetT *neighbor, *newfacet= NULL, *samecycle;
-  setT *vertices;
-  boolT toporient;
-  int ridgeid;
-
-  FOREACHridge_(visible->ridges) {
-    ridgeid= ridge->id;
-    neighbor= otherfacet_(ridge, visible);
-    if (neighbor->visible) {
-      if (!qh ONLYgood) {
-        if (neighbor->visitid == qh visit_id) {
-          qh_setfree(&(ridge->vertices));  /* delete on 2nd visit */
-          qh_memfree_(ridge, (int)sizeof(ridgeT), freelistp);
-        }
-      }
-    }else {  /* neighbor is an horizon facet */
-      toporient= (ridge->top == visible);
-      vertices= qh_setnew(qh hull_dim); /* makes sure this is quick */
-      qh_setappend(&vertices, apex);
-      qh_setappend_set(&vertices, ridge->vertices);
-      newfacet= qh_makenewfacet(vertices, toporient, neighbor);
-      (*numnew)++;
-      if (neighbor->coplanar) {
-        newfacet->mergehorizon= True;
-        if (!neighbor->seen) {
-          newfacet->f.samecycle= newfacet;
-          neighbor->f.newcycle= newfacet;
-        }else {
-          samecycle= neighbor->f.newcycle;
-          newfacet->f.samecycle= samecycle->f.samecycle;
-          samecycle->f.samecycle= newfacet;
-        }
-      }
-      if (qh ONLYgood) {
-        if (!neighbor->simplicial)
-          qh_setappend(&(newfacet->ridges), ridge);
-      }else {  /* qh_attachnewfacets */
-        if (neighbor->seen) {
-          if (neighbor->simplicial) {
-            qh_fprintf(qh ferr, 6105, "qhull internal error (qh_makenew_nonsimplicial): simplicial f%d sharing two ridges with f%d\n",
-                   neighbor->id, visible->id);
-            qh_errexit2 (qh_ERRqhull, neighbor, visible);
-          }
-          qh_setappend(&(neighbor->neighbors), newfacet);
-        }else
-          qh_setreplace(neighbor->neighbors, visible, newfacet);
-        if (neighbor->simplicial) {
-          qh_setdel(neighbor->ridges, ridge);
-          qh_setfree(&(ridge->vertices));
-          qh_memfree(ridge, (int)sizeof(ridgeT));
-        }else {
-          qh_setappend(&(newfacet->ridges), ridge);
-          if (toporient)
-            ridge->top= newfacet;
-          else
-            ridge->bottom= newfacet;
-        }
-      trace4((qh ferr, 4048, "qh_makenew_nonsimplicial: created facet f%d from v%d and r%d of horizon f%d\n",
-            newfacet->id, apex->id, ridgeid, neighbor->id));
-      }
-    }
-    neighbor->seen= True;
-  } /* for each ridge */
-  if (!qh ONLYgood)
-    SETfirst_(visible->ridges)= NULL;
-  return newfacet;
-} /* makenew_nonsimplicial */
-#else /* qh_NOmerge */
-facetT *qh_makenew_nonsimplicial(facetT *visible, vertexT *apex, int *numnew) {
-  return NULL;
-}
-#endif /* qh_NOmerge */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="makenew_simplicial">-</a>
-
-  qh_makenew_simplicial( visible, apex, numnew )
-    make new facets for simplicial visible facet and apex
-
-  returns:
-    attaches new facets if (!qh.ONLYgood)
-      neighbors between newfacet and horizon
-
-  notes:
-    nop if neighbor->seen or neighbor->visible(see qh_makenew_nonsimplicial)
-
-  design:
-    locate neighboring horizon facet for visible facet
-    determine vertices and orientation
-    create new facet
-    if coplanar,
-      add new facet to f.samecycle
-    update horizon facet's neighbor list
-*/
-facetT *qh_makenew_simplicial(facetT *visible, vertexT *apex, int *numnew) {
-  facetT *neighbor, **neighborp, *newfacet= NULL;
-  setT *vertices;
-  boolT flip, toporient;
-  int horizonskip, visibleskip;
-
-  FOREACHneighbor_(visible) {
-    if (!neighbor->seen && !neighbor->visible) {
-      vertices= qh_facetintersect(neighbor,visible, &horizonskip, &visibleskip, 1);
-      SETfirst_(vertices)= apex;
-      flip= ((horizonskip & 0x1) ^ (visibleskip & 0x1));
-      if (neighbor->toporient)
-        toporient= horizonskip & 0x1;
-      else
-        toporient= (horizonskip & 0x1) ^ 0x1;
-      newfacet= qh_makenewfacet(vertices, toporient, neighbor);
-      (*numnew)++;
-      if (neighbor->coplanar && (qh PREmerge || qh MERGEexact)) {
-#ifndef qh_NOmerge
-        newfacet->f.samecycle= newfacet;
-        newfacet->mergehorizon= True;
-#endif
-      }
-      if (!qh ONLYgood)
-        SETelem_(neighbor->neighbors, horizonskip)= newfacet;
-      trace4((qh ferr, 4049, "qh_makenew_simplicial: create facet f%d top %d from v%d and horizon f%d skip %d top %d and visible f%d skip %d, flip? %d\n",
-            newfacet->id, toporient, apex->id, neighbor->id, horizonskip,
-              neighbor->toporient, visible->id, visibleskip, flip));
-    }
-  }
-  return newfacet;
-} /* makenew_simplicial */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="matchneighbor">-</a>
-
-  qh_matchneighbor( newfacet, newskip, hashsize, hashcount )
-    either match subridge of newfacet with neighbor or add to hash_table
-
-  returns:
-    duplicate ridges are unmatched and marked by qh_DUPLICATEridge
-
-  notes:
-    ridge is newfacet->vertices w/o newskip vertex
-    do not allocate memory (need to free hash_table cleanly)
-    uses linear hash chains
-
-  see also:
-    qh_matchduplicates
-
-  design:
-    for each possible matching facet in qh.hash_table
-      if vertices match
-        set ismatch, if facets have opposite orientation
-        if ismatch and matching facet doesn't have a match
-          match the facets by updating their neighbor sets
-        else
-          indicate a duplicate ridge
-          set facet hyperplane for later testing
-          add facet to hashtable
-          unless the other facet was already a duplicate ridge
-            mark both facets with a duplicate ridge
-            add other facet (if defined) to hash table
-*/
-void qh_matchneighbor(facetT *newfacet, int newskip, int hashsize, int *hashcount) {
-  boolT newfound= False;   /* True, if new facet is already in hash chain */
-  boolT same, ismatch;
-  int hash, scan;
-  facetT *facet, *matchfacet;
-  int skip, matchskip;
-
-  hash= qh_gethash(hashsize, newfacet->vertices, qh hull_dim, 1,
-                     SETelem_(newfacet->vertices, newskip));
-  trace4((qh ferr, 4050, "qh_matchneighbor: newfacet f%d skip %d hash %d hashcount %d\n",
-          newfacet->id, newskip, hash, *hashcount));
-  zinc_(Zhashlookup);
-  for (scan= hash; (facet= SETelemt_(qh hash_table, scan, facetT));
-       scan= (++scan >= hashsize ? 0 : scan)) {
-    if (facet == newfacet) {
-      newfound= True;
-      continue;
-    }
-    zinc_(Zhashtests);
-    if (qh_matchvertices(1, newfacet->vertices, newskip, facet->vertices, &skip, &same)) {
-      if (SETelem_(newfacet->vertices, newskip) ==
-          SETelem_(facet->vertices, skip)) {
-        qh_precision("two facets with the same vertices");
-        qh_fprintf(qh ferr, 6106, "qhull precision error: Vertex sets are the same for f%d and f%d.  Can not force output.\n",
-          facet->id, newfacet->id);
-        qh_errexit2 (qh_ERRprec, facet, newfacet);
-      }
-      ismatch= (same == (boolT)((newfacet->toporient ^ facet->toporient)));
-      matchfacet= SETelemt_(facet->neighbors, skip, facetT);
-      if (ismatch && !matchfacet) {
-        SETelem_(facet->neighbors, skip)= newfacet;
-        SETelem_(newfacet->neighbors, newskip)= facet;
-        (*hashcount)--;
-        trace4((qh ferr, 4051, "qh_matchneighbor: f%d skip %d matched with new f%d skip %d\n",
-           facet->id, skip, newfacet->id, newskip));
-        return;
-      }
-      if (!qh PREmerge && !qh MERGEexact) {
-        qh_precision("a ridge with more than two neighbors");
-        qh_fprintf(qh ferr, 6107, "qhull precision error: facets f%d, f%d and f%d meet at a ridge with more than 2 neighbors.  Can not continue.\n",
-                 facet->id, newfacet->id, getid_(matchfacet));
-        qh_errexit2 (qh_ERRprec, facet, newfacet);
-      }
-      SETelem_(newfacet->neighbors, newskip)= qh_DUPLICATEridge;
-      newfacet->dupridge= True;
-      if (!newfacet->normal)
-        qh_setfacetplane(newfacet);
-      qh_addhash(newfacet, qh hash_table, hashsize, hash);
-      (*hashcount)++;
-      if (!facet->normal)
-        qh_setfacetplane(facet);
-      if (matchfacet != qh_DUPLICATEridge) {
-        SETelem_(facet->neighbors, skip)= qh_DUPLICATEridge;
-        facet->dupridge= True;
-        if (!facet->normal)
-          qh_setfacetplane(facet);
-        if (matchfacet) {
-          matchskip= qh_setindex(matchfacet->neighbors, facet);
-          SETelem_(matchfacet->neighbors, matchskip)= qh_DUPLICATEridge;
-          matchfacet->dupridge= True;
-          if (!matchfacet->normal)
-            qh_setfacetplane(matchfacet);
-          qh_addhash(matchfacet, qh hash_table, hashsize, hash);
-          *hashcount += 2;
-        }
-      }
-      trace4((qh ferr, 4052, "qh_matchneighbor: new f%d skip %d duplicates ridge for f%d skip %d matching f%d ismatch %d at hash %d\n",
-           newfacet->id, newskip, facet->id, skip,
-           (matchfacet == qh_DUPLICATEridge ? -2 : getid_(matchfacet)),
-           ismatch, hash));
-      return; /* end of duplicate ridge */
-    }
-  }
-  if (!newfound)
-    SETelem_(qh hash_table, scan)= newfacet;  /* same as qh_addhash */
-  (*hashcount)++;
-  trace4((qh ferr, 4053, "qh_matchneighbor: no match for f%d skip %d at hash %d\n",
-           newfacet->id, newskip, hash));
-} /* matchneighbor */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="matchnewfacets">-</a>
-
-  qh_matchnewfacets()
-    match newfacets in qh.newfacet_list to their newfacet neighbors
-
-  returns:
-    qh.newfacet_list with full neighbor sets
-      get vertices with nth neighbor by deleting nth vertex
-    if qh.PREmerge/MERGEexact or qh.FORCEoutput
-      sets facet->flippped if flipped normal (also prevents point partitioning)
-    if duplicate ridges and qh.PREmerge/MERGEexact
-      sets facet->dupridge
-      missing neighbor links identifies extra ridges to be merging (qh_MERGEridge)
-
-  notes:
-    newfacets already have neighbor[0] (horizon facet)
-    assumes qh.hash_table is NULL
-    vertex->neighbors has not been updated yet
-    do not allocate memory after qh.hash_table (need to free it cleanly)
-
-  design:
-    delete neighbor sets for all new facets
-    initialize a hash table
-    for all new facets
-      match facet with neighbors
-    if unmatched facets (due to duplicate ridges)
-      for each new facet with a duplicate ridge
-        match it with a facet
-    check for flipped facets
-*/
-void qh_matchnewfacets(void /* qh newfacet_list */) {
-  int numnew=0, hashcount=0, newskip;
-  facetT *newfacet, *neighbor;
-  int dim= qh hull_dim, hashsize, neighbor_i, neighbor_n;
-  setT *neighbors;
-#ifndef qh_NOtrace
-  int facet_i, facet_n, numfree= 0;
-  facetT *facet;
-#endif
-
-  trace1((qh ferr, 1019, "qh_matchnewfacets: match neighbors for new facets.\n"));
-  FORALLnew_facets {
-    numnew++;
-    {  /* inline qh_setzero(newfacet->neighbors, 1, qh hull_dim); */
-      neighbors= newfacet->neighbors;
-      neighbors->e[neighbors->maxsize].i= dim+1; /*may be overwritten*/
-      memset((char *)SETelemaddr_(neighbors, 1, void), 0, dim * SETelemsize);
-    }
-  }
-
-  qh_newhashtable(numnew*(qh hull_dim-1)); /* twice what is normally needed,
-                                     but every ridge could be DUPLICATEridge */
-  hashsize= qh_setsize(qh hash_table);
-  FORALLnew_facets {
-    for (newskip=1; newskip<qh hull_dim; newskip++) /* furthest/horizon already matched */
-      qh_matchneighbor(newfacet, newskip, hashsize, &hashcount);
-#if 0   /* use the following to trap hashcount errors */
-    {
-      int count= 0, k;
-      facetT *facet, *neighbor;
-
-      count= 0;
-      FORALLfacet_(qh newfacet_list) {  /* newfacet already in use */
-        for (k=1; k < qh hull_dim; k++) {
-          neighbor= SETelemt_(facet->neighbors, k, facetT);
-          if (!neighbor || neighbor == qh_DUPLICATEridge)
-            count++;
-        }
-        if (facet == newfacet)
-          break;
-      }
-      if (count != hashcount) {
-        qh_fprintf(qh ferr, 8088, "qh_matchnewfacets: after adding facet %d, hashcount %d != count %d\n",
-                 newfacet->id, hashcount, count);
-        qh_errexit(qh_ERRqhull, newfacet, NULL);
-      }
-    }
-#endif  /* end of trap code */
-  }
-  if (hashcount) {
-    FORALLnew_facets {
-      if (newfacet->dupridge) {
-        FOREACHneighbor_i_(newfacet) {
-          if (neighbor == qh_DUPLICATEridge) {
-            qh_matchduplicates(newfacet, neighbor_i, hashsize, &hashcount);
-                    /* this may report MERGEfacet */
-          }
-        }
-      }
-    }
-  }
-  if (hashcount) {
-    qh_fprintf(qh ferr, 6108, "qhull internal error (qh_matchnewfacets): %d neighbors did not match up\n",
-        hashcount);
-    qh_printhashtable(qh ferr);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-#ifndef qh_NOtrace
-  if (qh IStracing >= 2) {
-    FOREACHfacet_i_(qh hash_table) {
-      if (!facet)
-        numfree++;
-    }
-    qh_fprintf(qh ferr, 8089, "qh_matchnewfacets: %d new facets, %d unused hash entries .  hashsize %d\n",
-             numnew, numfree, qh_setsize(qh hash_table));
-  }
-#endif /* !qh_NOtrace */
-  qh_setfree(&qh hash_table);
-  if (qh PREmerge || qh MERGEexact) {
-    if (qh IStracing >= 4)
-      qh_printfacetlist(qh newfacet_list, NULL, qh_ALL);
-    FORALLnew_facets {
-      if (newfacet->normal)
-        qh_checkflipped(newfacet, NULL, qh_ALL);
-    }
-  }else if (qh FORCEoutput)
-    qh_checkflipped_all(qh newfacet_list);  /* prints warnings for flipped */
-} /* matchnewfacets */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="matchvertices">-</a>
-
-  qh_matchvertices( firstindex, verticesA, skipA, verticesB, skipB, same )
-    tests whether vertices match with a single skip
-    starts match at firstindex since all new facets have a common vertex
-
-  returns:
-    true if matched vertices
-    skip index for each set
-    sets same iff vertices have the same orientation
-
-  notes:
-    assumes skipA is in A and both sets are the same size
-
-  design:
-    set up pointers
-    scan both sets checking for a match
-    test orientation
-*/
-boolT qh_matchvertices(int firstindex, setT *verticesA, int skipA,
-       setT *verticesB, int *skipB, boolT *same) {
-  vertexT **elemAp, **elemBp, **skipBp=NULL, **skipAp;
-
-  elemAp= SETelemaddr_(verticesA, firstindex, vertexT);
-  elemBp= SETelemaddr_(verticesB, firstindex, vertexT);
-  skipAp= SETelemaddr_(verticesA, skipA, vertexT);
-  do if (elemAp != skipAp) {
-    while (*elemAp != *elemBp++) {
-      if (skipBp)
-        return False;
-      skipBp= elemBp;  /* one extra like FOREACH */
-    }
-  }while (*(++elemAp));
-  if (!skipBp)
-    skipBp= ++elemBp;
-  *skipB= SETindex_(verticesB, skipB); /* i.e., skipBp - verticesB */
-  *same= !((skipA & 0x1) ^ (*skipB & 0x1)); /* result is 0 or 1 */
-  trace4((qh ferr, 4054, "qh_matchvertices: matched by skip %d(v%d) and skip %d(v%d) same? %d\n",
-          skipA, (*skipAp)->id, *skipB, (*(skipBp-1))->id, *same));
-  return(True);
-} /* matchvertices */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="newfacet">-</a>
-
-  qh_newfacet()
-    return a new facet
-
-  returns:
-    all fields initialized or cleared   (NULL)
-    preallocates neighbors set
-*/
-facetT *qh_newfacet(void) {
-  facetT *facet;
-  void **freelistp; /* used !qh_NOmem */
-
-  qh_memalloc_((int)sizeof(facetT), freelistp, facet, facetT);
-  memset((char *)facet, (size_t)0, sizeof(facetT));
-  if (qh facet_id == qh tracefacet_id)
-    qh tracefacet= facet;
-  facet->id= qh facet_id++;
-  facet->neighbors= qh_setnew(qh hull_dim);
-#if !qh_COMPUTEfurthest
-  facet->furthestdist= 0.0;
-#endif
-#if qh_MAXoutside
-  if (qh FORCEoutput && qh APPROXhull)
-    facet->maxoutside= qh MINoutside;
-  else
-    facet->maxoutside= qh DISTround;
-#endif
-  facet->simplicial= True;
-  facet->good= True;
-  facet->newfacet= True;
-  trace4((qh ferr, 4055, "qh_newfacet: created facet f%d\n", facet->id));
-  return(facet);
-} /* newfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="newridge">-</a>
-
-  qh_newridge()
-    return a new ridge
-*/
-ridgeT *qh_newridge(void) {
-  ridgeT *ridge;
-  void **freelistp;   /* used !qh_NOmem */
-
-  qh_memalloc_((int)sizeof(ridgeT), freelistp, ridge, ridgeT);
-  memset((char *)ridge, (size_t)0, sizeof(ridgeT));
-  zinc_(Ztotridges);
-  if (qh ridge_id == 0xFFFFFF) {
-    qh_fprintf(qh ferr, 7074, "\
-qhull warning: more than %d ridges.  ID field overflows and two ridges\n\
-may have the same identifier.  Otherwise output ok.\n", 0xFFFFFF);
-  }
-  ridge->id= qh ridge_id++;
-  trace4((qh ferr, 4056, "qh_newridge: created ridge r%d\n", ridge->id));
-  return(ridge);
-} /* newridge */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="pointid">-</a>
-
-  qh_pointid(  )
-    return id for a point,
-    returns -3 if null, -2 if interior, or -1 if not known
-
-  alternative code:
-    unsigned long id;
-    id= ((unsigned long)point - (unsigned long)qh.first_point)/qh.normal_size;
-
-  notes:
-    WARN64 -- id truncated to 32-bits, at most 2G points
-    NOerrors returned (QhullPoint::id)
-    if point not in point array
-      the code does a comparison of unrelated pointers.
-*/
-int qh_pointid(pointT *point) {
-  ptr_intT offset, id;
-
-  if (!point)
-    return -3;
-  else if (point == qh interior_point)
-    return -2;
-  else if (point >= qh first_point
-  && point < qh first_point + qh num_points * qh hull_dim) {
-    offset= (ptr_intT)(point - qh first_point);
-    id= offset / qh hull_dim;
-  }else if ((id= qh_setindex(qh other_points, point)) != -1)
-    id += qh num_points;
-  else
-    return -1;
-  return (int)id;
-} /* pointid */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="removefacet">-</a>
-
-  qh_removefacet( facet )
-    unlinks facet from qh.facet_list,
-
-  returns:
-    updates qh.facet_list .newfacet_list .facet_next visible_list
-    decrements qh.num_facets
-
-  see:
-    qh_appendfacet
-*/
-void qh_removefacet(facetT *facet) {
-  facetT *next= facet->next, *previous= facet->previous;
-
-  if (facet == qh newfacet_list)
-    qh newfacet_list= next;
-  if (facet == qh facet_next)
-    qh facet_next= next;
-  if (facet == qh visible_list)
-    qh visible_list= next;
-  if (previous) {
-    previous->next= next;
-    next->previous= previous;
-  }else {  /* 1st facet in qh facet_list */
-    qh facet_list= next;
-    qh facet_list->previous= NULL;
-  }
-  qh num_facets--;
-  trace4((qh ferr, 4057, "qh_removefacet: remove f%d from facet_list\n", facet->id));
-} /* removefacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="removevertex">-</a>
-
-  qh_removevertex( vertex )
-    unlinks vertex from qh.vertex_list,
-
-  returns:
-    updates qh.vertex_list .newvertex_list
-    decrements qh.num_vertices
-*/
-void qh_removevertex(vertexT *vertex) {
-  vertexT *next= vertex->next, *previous= vertex->previous;
-
-  if (vertex == qh newvertex_list)
-    qh newvertex_list= next;
-  if (previous) {
-    previous->next= next;
-    next->previous= previous;
-  }else {  /* 1st vertex in qh vertex_list */
-    qh vertex_list= vertex->next;
-    qh vertex_list->previous= NULL;
-  }
-  qh num_vertices--;
-  trace4((qh ferr, 4058, "qh_removevertex: remove v%d from vertex_list\n", vertex->id));
-} /* removevertex */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="updatevertices">-</a>
-
-  qh_updatevertices()
-    update vertex neighbors and delete interior vertices
-
-  returns:
-    if qh.VERTEXneighbors, updates neighbors for each vertex
-      if qh.newvertex_list,
-         removes visible neighbors  from vertex neighbors
-      if qh.newfacet_list
-         adds new facets to vertex neighbors
-    if qh.visible_list
-       interior vertices added to qh.del_vertices for later partitioning
-
-  design:
-    if qh.VERTEXneighbors
-      deletes references to visible facets from vertex neighbors
-      appends new facets to the neighbor list for each vertex
-      checks all vertices of visible facets
-        removes visible facets from neighbor lists
-        marks unused vertices for deletion
-*/
-void qh_updatevertices(void /*qh newvertex_list, newfacet_list, visible_list*/) {
-  facetT *newfacet= NULL, *neighbor, **neighborp, *visible;
-  vertexT *vertex, **vertexp;
-
-  trace3((qh ferr, 3013, "qh_updatevertices: delete interior vertices and update vertex->neighbors\n"));
-  if (qh VERTEXneighbors) {
-    FORALLvertex_(qh newvertex_list) {
-      FOREACHneighbor_(vertex) {
-        if (neighbor->visible)
-          SETref_(neighbor)= NULL;
-      }
-      qh_setcompact(vertex->neighbors);
-    }
-    FORALLnew_facets {
-      FOREACHvertex_(newfacet->vertices)
-        qh_setappend(&vertex->neighbors, newfacet);
-    }
-    FORALLvisible_facets {
-      FOREACHvertex_(visible->vertices) {
-        if (!vertex->newlist && !vertex->deleted) {
-          FOREACHneighbor_(vertex) { /* this can happen under merging */
-            if (!neighbor->visible)
-              break;
-          }
-          if (neighbor)
-            qh_setdel(vertex->neighbors, visible);
-          else {
-            vertex->deleted= True;
-            qh_setappend(&qh del_vertices, vertex);
-            trace2((qh ferr, 2041, "qh_updatevertices: delete vertex p%d(v%d) in f%d\n",
-                  qh_pointid(vertex->point), vertex->id, visible->id));
-          }
-        }
-      }
-    }
-  }else {  /* !VERTEXneighbors */
-    FORALLvisible_facets {
-      FOREACHvertex_(visible->vertices) {
-        if (!vertex->newlist && !vertex->deleted) {
-          vertex->deleted= True;
-          qh_setappend(&qh del_vertices, vertex);
-          trace2((qh ferr, 2042, "qh_updatevertices: delete vertex p%d(v%d) in f%d\n",
-                  qh_pointid(vertex->point), vertex->id, visible->id));
-        }
-      }
-    }
-  }
-} /* updatevertices */
diff --git a/extern/qhull/poly.h b/extern/qhull/poly.h
deleted file mode 100644
index 9cf04cfbacf7..000000000000
--- a/extern/qhull/poly.h
+++ /dev/null
@@ -1,295 +0,0 @@
-/*<html><pre>  -<a                             href="qh-poly.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   poly.h
-   header file for poly.c and poly2.c
-
-   see qh-poly.htm, libqhull.h and poly.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/poly.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFpoly
-#define qhDEFpoly 1
-
-#include "libqhull.h"
-
-/*===============   constants ========================== */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >--------------------------------</a><a name="ALGORITHMfault">-</a>
-
-  ALGORITHMfault
-    use as argument to checkconvex() to report errors during buildhull
-*/
-#define qh_ALGORITHMfault 0
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="DATAfault">-</a>
-
-  DATAfault
-    use as argument to checkconvex() to report errors during initialhull
-*/
-#define qh_DATAfault 1
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="DUPLICATEridge">-</a>
-
-  DUPLICATEridge
-    special value for facet->neighbor to indicate a duplicate ridge
-
-  notes:
-    set by matchneighbor, used by matchmatch and mark_dupridge
-*/
-#define qh_DUPLICATEridge (facetT *)1L
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="MERGEridge">-</a>
-
-  MERGEridge       flag in facet
-    special value for facet->neighbor to indicate a merged ridge
-
-  notes:
-    set by matchneighbor, used by matchmatch and mark_dupridge
-*/
-#define qh_MERGEridge (facetT *)2L
-
-
-/*============ -structures- ====================*/
-
-/*=========== -macros- =========================*/
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLfacet_">-</a>
-
-  FORALLfacet_( facetlist ) { ... }
-    assign 'facet' to each facet in facetlist
-
-  notes:
-    uses 'facetT *facet;'
-    assumes last facet is a sentinel
-
-  see:
-    FORALLfacets
-*/
-#define FORALLfacet_( facetlist ) if (facetlist ) for ( facet=( facetlist ); facet && facet->next; facet= facet->next )
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLnew_facets">-</a>
-
-  FORALLnew_facets { ... }
-    assign 'newfacet' to each facet in qh.newfacet_list
-
-  notes:
-    uses 'facetT *newfacet;'
-    at exit, newfacet==NULL
-*/
-#define FORALLnew_facets for ( newfacet=qh newfacet_list;newfacet && newfacet->next;newfacet=newfacet->next )
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLvertex_">-</a>
-
-  FORALLvertex_( vertexlist ) { ... }
-    assign 'vertex' to each vertex in vertexlist
-
-  notes:
-    uses 'vertexT *vertex;'
-    at exit, vertex==NULL
-*/
-#define FORALLvertex_( vertexlist ) for (vertex=( vertexlist );vertex && vertex->next;vertex= vertex->next )
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLvisible_facets">-</a>
-
-  FORALLvisible_facets { ... }
-    assign 'visible' to each visible facet in qh.visible_list
-
-  notes:
-    uses 'vacetT *visible;'
-    at exit, visible==NULL
-*/
-#define FORALLvisible_facets for (visible=qh visible_list; visible && visible->visible; visible= visible->next)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLsame_">-</a>
-
-  FORALLsame_( newfacet ) { ... }
-    assign 'same' to each facet in newfacet->f.samecycle
-
-  notes:
-    uses 'facetT *same;'
-    stops when it returns to newfacet
-*/
-#define FORALLsame_(newfacet) for (same= newfacet->f.samecycle; same != newfacet; same= same->f.samecycle)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FORALLsame_cycle_">-</a>
-
-  FORALLsame_cycle_( newfacet ) { ... }
-    assign 'same' to each facet in newfacet->f.samecycle
-
-  notes:
-    uses 'facetT *same;'
-    at exit, same == NULL
-*/
-#define FORALLsame_cycle_(newfacet) \
-     for (same= newfacet->f.samecycle; \
-         same; same= (same == newfacet ?  NULL : same->f.samecycle))
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHneighborA_">-</a>
-
-  FOREACHneighborA_( facet ) { ... }
-    assign 'neighborA' to each neighbor in facet->neighbors
-
-  FOREACHneighborA_( vertex ) { ... }
-    assign 'neighborA' to each neighbor in vertex->neighbors
-
-  declare:
-    facetT *neighborA, **neighborAp;
-
-  see:
-    <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHneighborA_(facet)  FOREACHsetelement_(facetT, facet->neighbors, neighborA)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHvisible_">-</a>
-
-  FOREACHvisible_( facets ) { ... }
-    assign 'visible' to each facet in facets
-
-  notes:
-    uses 'facetT *facet, *facetp;'
-    see <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHvisible_(facets) FOREACHsetelement_(facetT, facets, visible)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHnewfacet_">-</a>
-
-  FOREACHnewfacet_( facets ) { ... }
-    assign 'newfacet' to each facet in facets
-
-  notes:
-    uses 'facetT *newfacet, *newfacetp;'
-    see <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHnewfacet_(facets) FOREACHsetelement_(facetT, facets, newfacet)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHvertexA_">-</a>
-
-  FOREACHvertexA_( vertices ) { ... }
-    assign 'vertexA' to each vertex in vertices
-
-  notes:
-    uses 'vertexT *vertexA, *vertexAp;'
-    see <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHvertexA_(vertices) FOREACHsetelement_(vertexT, vertices, vertexA)
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >--------------------------------</a><a name="FOREACHvertexreverse12_">-</a>
-
-  FOREACHvertexreverse12_( vertices ) { ... }
-    assign 'vertex' to each vertex in vertices
-    reverse order of first two vertices
-
-  notes:
-    uses 'vertexT *vertex, *vertexp;'
-    see <a href="qset.h#FOREACHsetelement_">FOREACHsetelement_</a>
-*/
-#define FOREACHvertexreverse12_(vertices) FOREACHsetelementreverse12_(vertexT, vertices, vertex)
-
-
-/*=============== prototypes poly.c in alphabetical order ================*/
-
-void    qh_appendfacet(facetT *facet);
-void    qh_appendvertex(vertexT *vertex);
-void    qh_attachnewfacets(void);
-boolT   qh_checkflipped(facetT *facet, realT *dist, boolT allerror);
-void    qh_delfacet(facetT *facet);
-void    qh_deletevisible(void /*qh visible_list, qh horizon_list*/);
-setT   *qh_facetintersect(facetT *facetA, facetT *facetB, int *skipAp,int *skipBp, int extra);
-int     qh_gethash(int hashsize, setT *set, int size, int firstindex, void *skipelem);
-facetT *qh_makenewfacet(setT *vertices, boolT toporient, facetT *facet);
-void    qh_makenewplanes(void /* newfacet_list */);
-facetT *qh_makenew_nonsimplicial(facetT *visible, vertexT *apex, int *numnew);
-facetT *qh_makenew_simplicial(facetT *visible, vertexT *apex, int *numnew);
-void    qh_matchneighbor(facetT *newfacet, int newskip, int hashsize,
-                          int *hashcount);
-void    qh_matchnewfacets(void);
-boolT   qh_matchvertices(int firstindex, setT *verticesA, int skipA,
-                          setT *verticesB, int *skipB, boolT *same);
-facetT *qh_newfacet(void);
-ridgeT *qh_newridge(void);
-int     qh_pointid(pointT *point);
-void    qh_removefacet(facetT *facet);
-void    qh_removevertex(vertexT *vertex);
-void    qh_updatevertices(void);
-
-
-/*========== -prototypes poly2.c in alphabetical order ===========*/
-
-void    qh_addhash(void* newelem, setT *hashtable, int hashsize, int hash);
-void    qh_check_bestdist(void);
-void    qh_check_maxout(void);
-void    qh_check_output(void);
-void    qh_check_point(pointT *point, facetT *facet, realT *maxoutside, realT *maxdist, facetT **errfacet1, facetT **errfacet2);
-void    qh_check_points(void);
-void    qh_checkconvex(facetT *facetlist, int fault);
-void    qh_checkfacet(facetT *facet, boolT newmerge, boolT *waserrorp);
-void    qh_checkflipped_all(facetT *facetlist);
-void    qh_checkpolygon(facetT *facetlist);
-void    qh_checkvertex(vertexT *vertex);
-void    qh_clearcenters(qh_CENTER type);
-void    qh_createsimplex(setT *vertices);
-void    qh_delridge(ridgeT *ridge);
-void    qh_delvertex(vertexT *vertex);
-setT   *qh_facet3vertex(facetT *facet);
-facetT *qh_findbestfacet(pointT *point, boolT bestoutside,
-           realT *bestdist, boolT *isoutside);
-facetT *qh_findbestlower(facetT *upperfacet, pointT *point, realT *bestdistp, int *numpart);
-facetT *qh_findfacet_all(pointT *point, realT *bestdist, boolT *isoutside,
-                          int *numpart);
-int     qh_findgood(facetT *facetlist, int goodhorizon);
-void    qh_findgood_all(facetT *facetlist);
-void    qh_furthestnext(void /* qh facet_list */);
-void    qh_furthestout(facetT *facet);
-void    qh_infiniteloop(facetT *facet);
-void    qh_initbuild(void);
-void    qh_initialhull(setT *vertices);
-setT   *qh_initialvertices(int dim, setT *maxpoints, pointT *points, int numpoints);
-vertexT *qh_isvertex(pointT *point, setT *vertices);
-vertexT *qh_makenewfacets(pointT *point /*horizon_list, visible_list*/);
-void    qh_matchduplicates(facetT *atfacet, int atskip, int hashsize, int *hashcount);
-void    qh_nearcoplanar(void /* qh.facet_list */);
-vertexT *qh_nearvertex(facetT *facet, pointT *point, realT *bestdistp);
-int     qh_newhashtable(int newsize);
-vertexT *qh_newvertex(pointT *point);
-ridgeT *qh_nextridge3d(ridgeT *atridge, facetT *facet, vertexT **vertexp);
-void    qh_outcoplanar(void /* facet_list */);
-pointT *qh_point(int id);
-void    qh_point_add(setT *set, pointT *point, void *elem);
-setT   *qh_pointfacet(void /*qh facet_list*/);
-setT   *qh_pointvertex(void /*qh facet_list*/);
-void    qh_prependfacet(facetT *facet, facetT **facetlist);
-void    qh_printhashtable(FILE *fp);
-void    qh_printlists(void);
-void    qh_resetlists(boolT stats, boolT resetVisible /*qh newvertex_list newfacet_list visible_list*/);
-void    qh_setvoronoi_all(void);
-void    qh_triangulate(void /*qh facet_list*/);
-void    qh_triangulate_facet(facetT *facetA, vertexT **first_vertex);
-void    qh_triangulate_link(facetT *oldfacetA, facetT *facetA, facetT *oldfacetB, facetT *facetB);
-void    qh_triangulate_mirror(facetT *facetA, facetT *facetB);
-void    qh_triangulate_null(facetT *facetA);
-void    qh_vertexintersect(setT **vertexsetA,setT *vertexsetB);
-setT   *qh_vertexintersect_new(setT *vertexsetA,setT *vertexsetB);
-void    qh_vertexneighbors(void /*qh facet_list*/);
-boolT   qh_vertexsubset(setT *vertexsetA, setT *vertexsetB);
-
-
-#endif /* qhDEFpoly */
diff --git a/extern/qhull/poly2.c b/extern/qhull/poly2.c
deleted file mode 100644
index 317461fc54ef..000000000000
--- a/extern/qhull/poly2.c
+++ /dev/null
@@ -1,3154 +0,0 @@
-/*<html><pre>  -<a                             href="qh-poly.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   poly2.c
-   implements polygons and simplices
-
-   see qh-poly.htm, poly.h and libqhull.h
-
-   frequently used code is in poly.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/poly2.c#5 $$Change: 1490 $
-   $DateTime: 2012/02/19 20:27:01 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-/*======== functions in alphabetical order ==========*/
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="addhash">-</a>
-
-  qh_addhash( newelem, hashtable, hashsize, hash )
-    add newelem to linear hash table at hash if not already there
-*/
-void qh_addhash(void* newelem, setT *hashtable, int hashsize, int hash) {
-  int scan;
-  void *elem;
-
-  for (scan= (int)hash; (elem= SETelem_(hashtable, scan));
-       scan= (++scan >= hashsize ? 0 : scan)) {
-    if (elem == newelem)
-      break;
-  }
-  /* loop terminates because qh_HASHfactor >= 1.1 by qh_initbuffers */
-  if (!elem)
-    SETelem_(hashtable, scan)= newelem;
-} /* addhash */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="check_bestdist">-</a>
-
-  qh_check_bestdist()
-    check that all points are within max_outside of the nearest facet
-    if qh.ONLYgood,
-      ignores !good facets
-
-  see:
-    qh_check_maxout(), qh_outerinner()
-
-  notes:
-    only called from qh_check_points()
-      seldom used since qh.MERGING is almost always set
-    if notverified>0 at end of routine
-      some points were well inside the hull.  If the hull contains
-      a lens-shaped component, these points were not verified.  Use
-      options 'Qi Tv' to verify all points.  (Exhaustive check also verifies)
-
-  design:
-    determine facet for each point (if any)
-    for each point
-      start with the assigned facet or with the first facet
-      find the best facet for the point and check all coplanar facets
-      error if point is outside of facet
-*/
-void qh_check_bestdist(void) {
-  boolT waserror= False, unassigned;
-  facetT *facet, *bestfacet, *errfacet1= NULL, *errfacet2= NULL;
-  facetT *facetlist;
-  realT dist, maxoutside, maxdist= -REALmax;
-  pointT *point;
-  int numpart= 0, facet_i, facet_n, notgood= 0, notverified= 0;
-  setT *facets;
-
-  trace1((qh ferr, 1020, "qh_check_bestdist: check points below nearest facet.  Facet_list f%d\n",
-      qh facet_list->id));
-  maxoutside= qh_maxouter();
-  maxoutside += qh DISTround;
-  /* one more qh.DISTround for check computation */
-  trace1((qh ferr, 1021, "qh_check_bestdist: check that all points are within %2.2g of best facet\n", maxoutside));
-  facets= qh_pointfacet(/*qh facet_list*/);
-  if (!qh_QUICKhelp && qh PRINTprecision)
-    qh_fprintf(qh ferr, 8091, "\n\
-qhull output completed.  Verifying that %d points are\n\
-below %2.2g of the nearest %sfacet.\n",
-             qh_setsize(facets), maxoutside, (qh ONLYgood ?  "good " : ""));
-  FOREACHfacet_i_(facets) {  /* for each point with facet assignment */
-    if (facet)
-      unassigned= False;
-    else {
-      unassigned= True;
-      facet= qh facet_list;
-    }
-    point= qh_point(facet_i);
-    if (point == qh GOODpointp)
-      continue;
-    qh_distplane(point, facet, &dist);
-    numpart++;
-    bestfacet= qh_findbesthorizon(!qh_IScheckmax, point, facet, qh_NOupper, &dist, &numpart);
-    /* occurs after statistics reported */
-    maximize_(maxdist, dist);
-    if (dist > maxoutside) {
-      if (qh ONLYgood && !bestfacet->good
-          && !((bestfacet= qh_findgooddist(point, bestfacet, &dist, &facetlist))
-               && dist > maxoutside))
-        notgood++;
-      else {
-        waserror= True;
-        qh_fprintf(qh ferr, 6109, "qhull precision error: point p%d is outside facet f%d, distance= %6.8g maxoutside= %6.8g\n",
-                facet_i, bestfacet->id, dist, maxoutside);
-        if (errfacet1 != bestfacet) {
-          errfacet2= errfacet1;
-          errfacet1= bestfacet;
-        }
-      }
-    }else if (unassigned && dist < -qh MAXcoplanar)
-      notverified++;
-  }
-  qh_settempfree(&facets);
-  if (notverified && !qh DELAUNAY && !qh_QUICKhelp && qh PRINTprecision)
-    qh_fprintf(qh ferr, 8092, "\n%d points were well inside the hull.  If the hull contains\n\
-a lens-shaped component, these points were not verified.  Use\n\
-options 'Qci Tv' to verify all points.\n", notverified);
-  if (maxdist > qh outside_err) {
-    qh_fprintf(qh ferr, 6110, "qhull precision error (qh_check_bestdist): a coplanar point is %6.2g from convex hull.  The maximum value(qh.outside_err) is %6.2g\n",
-              maxdist, qh outside_err);
-    qh_errexit2 (qh_ERRprec, errfacet1, errfacet2);
-  }else if (waserror && qh outside_err > REALmax/2)
-    qh_errexit2 (qh_ERRprec, errfacet1, errfacet2);
-  /* else if waserror, the error was logged to qh.ferr but does not effect the output */
-  trace0((qh ferr, 20, "qh_check_bestdist: max distance outside %2.2g\n", maxdist));
-} /* check_bestdist */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="check_maxout">-</a>
-
-  qh_check_maxout()
-    updates qh.max_outside by checking all points against bestfacet
-    if qh.ONLYgood, ignores !good facets
-
-  returns:
-    updates facet->maxoutside via qh_findbesthorizon()
-    sets qh.maxoutdone
-    if printing qh.min_vertex (qh_outerinner),
-      it is updated to the current vertices
-    removes inside/coplanar points from coplanarset as needed
-
-  notes:
-    defines coplanar as min_vertex instead of MAXcoplanar
-    may not need to check near-inside points because of qh.MAXcoplanar
-      and qh.KEEPnearinside (before it was -DISTround)
-
-  see also:
-    qh_check_bestdist()
-
-  design:
-    if qh.min_vertex is needed
-      for all neighbors of all vertices
-        test distance from vertex to neighbor
-    determine facet for each point (if any)
-    for each point with an assigned facet
-      find the best facet for the point and check all coplanar facets
-        (updates outer planes)
-    remove near-inside points from coplanar sets
-*/
-#ifndef qh_NOmerge
-void qh_check_maxout(void) {
-  facetT *facet, *bestfacet, *neighbor, **neighborp, *facetlist;
-  realT dist, maxoutside, minvertex, old_maxoutside;
-  pointT *point;
-  int numpart= 0, facet_i, facet_n, notgood= 0;
-  setT *facets, *vertices;
-  vertexT *vertex;
-
-  trace1((qh ferr, 1022, "qh_check_maxout: check and update maxoutside for each facet.\n"));
-  maxoutside= minvertex= 0;
-  if (qh VERTEXneighbors
-  && (qh PRINTsummary || qh KEEPinside || qh KEEPcoplanar
-        || qh TRACElevel || qh PRINTstatistics
-        || qh PRINTout[0] == qh_PRINTsummary || qh PRINTout[0] == qh_PRINTnone)) {
-    trace1((qh ferr, 1023, "qh_check_maxout: determine actual maxoutside and minvertex\n"));
-    vertices= qh_pointvertex(/*qh facet_list*/);
-    FORALLvertices {
-      FOREACHneighbor_(vertex) {
-        zinc_(Zdistvertex);  /* distance also computed by main loop below */
-        qh_distplane(vertex->point, neighbor, &dist);
-        minimize_(minvertex, dist);
-        if (-dist > qh TRACEdist || dist > qh TRACEdist
-        || neighbor == qh tracefacet || vertex == qh tracevertex)
-          qh_fprintf(qh ferr, 8093, "qh_check_maxout: p%d(v%d) is %.2g from f%d\n",
-                    qh_pointid(vertex->point), vertex->id, dist, neighbor->id);
-      }
-    }
-    if (qh MERGING) {
-      wmin_(Wminvertex, qh min_vertex);
-    }
-    qh min_vertex= minvertex;
-    qh_settempfree(&vertices);
-  }
-  facets= qh_pointfacet(/*qh facet_list*/);
-  do {
-    old_maxoutside= fmax_(qh max_outside, maxoutside);
-    FOREACHfacet_i_(facets) {     /* for each point with facet assignment */
-      if (facet) {
-        point= qh_point(facet_i);
-        if (point == qh GOODpointp)
-          continue;
-        zzinc_(Ztotcheck);
-        qh_distplane(point, facet, &dist);
-        numpart++;
-        bestfacet= qh_findbesthorizon(qh_IScheckmax, point, facet, !qh_NOupper, &dist, &numpart);
-        if (bestfacet && dist > maxoutside) {
-          if (qh ONLYgood && !bestfacet->good
-          && !((bestfacet= qh_findgooddist(point, bestfacet, &dist, &facetlist))
-               && dist > maxoutside))
-            notgood++;
-          else
-            maxoutside= dist;
-        }
-        if (dist > qh TRACEdist || (bestfacet && bestfacet == qh tracefacet))
-          qh_fprintf(qh ferr, 8094, "qh_check_maxout: p%d is %.2g above f%d\n",
-                     qh_pointid(point), dist, bestfacet->id);
-      }
-    }
-  }while
-    (maxoutside > 2*old_maxoutside);
-    /* if qh.maxoutside increases substantially, qh_SEARCHdist is not valid
-          e.g., RBOX 5000 s Z1 G1e-13 t1001200614 | qhull */
-  zzadd_(Zcheckpart, numpart);
-  qh_settempfree(&facets);
-  wval_(Wmaxout)= maxoutside - qh max_outside;
-  wmax_(Wmaxoutside, qh max_outside);
-  qh max_outside= maxoutside;
-  qh_nearcoplanar(/*qh.facet_list*/);
-  qh maxoutdone= True;
-  trace1((qh ferr, 1024, "qh_check_maxout: maxoutside %2.2g, min_vertex %2.2g, outside of not good %d\n",
-       maxoutside, qh min_vertex, notgood));
-} /* check_maxout */
-#else /* qh_NOmerge */
-void qh_check_maxout(void) {
-}
-#endif
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="check_output">-</a>
-
-  qh_check_output()
-    performs the checks at the end of qhull algorithm
-    Maybe called after voronoi output.  Will recompute otherwise centrums are Voronoi centers instead
-*/
-void qh_check_output(void) {
-  int i;
-
-  if (qh STOPcone)
-    return;
-  if (qh VERIFYoutput | qh IStracing | qh CHECKfrequently) {
-    qh_checkpolygon(qh facet_list);
-    qh_checkflipped_all(qh facet_list);
-    qh_checkconvex(qh facet_list, qh_ALGORITHMfault);
-  }else if (!qh MERGING && qh_newstats(qhstat precision, &i)) {
-    qh_checkflipped_all(qh facet_list);
-    qh_checkconvex(qh facet_list, qh_ALGORITHMfault);
-  }
-} /* check_output */
-
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="check_point">-</a>
-
-  qh_check_point( point, facet, maxoutside, maxdist, errfacet1, errfacet2 )
-    check that point is less than maxoutside from facet
-*/
-void qh_check_point(pointT *point, facetT *facet, realT *maxoutside, realT *maxdist, facetT **errfacet1, facetT **errfacet2) {
-  realT dist;
-
-  /* occurs after statistics reported */
-  qh_distplane(point, facet, &dist);
-  if (dist > *maxoutside) {
-    if (*errfacet1 != facet) {
-      *errfacet2= *errfacet1;
-      *errfacet1= facet;
-    }
-    qh_fprintf(qh ferr, 6111, "qhull precision error: point p%d is outside facet f%d, distance= %6.8g maxoutside= %6.8g\n",
-              qh_pointid(point), facet->id, dist, *maxoutside);
-  }
-  maximize_(*maxdist, dist);
-} /* qh_check_point */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="check_points">-</a>
-
-  qh_check_points()
-    checks that all points are inside all facets
-
-  notes:
-    if many points and qh_check_maxout not called (i.e., !qh.MERGING),
-       calls qh_findbesthorizon (seldom done).
-    ignores flipped facets
-    maxoutside includes 2 qh.DISTrounds
-      one qh.DISTround for the computed distances in qh_check_points
-    qh_printafacet and qh_printsummary needs only one qh.DISTround
-    the computation for qh.VERIFYdirect does not account for qh.other_points
-
-  design:
-    if many points
-      use qh_check_bestdist()
-    else
-      for all facets
-        for all points
-          check that point is inside facet
-*/
-void qh_check_points(void) {
-  facetT *facet, *errfacet1= NULL, *errfacet2= NULL;
-  realT total, maxoutside, maxdist= -REALmax;
-  pointT *point, **pointp, *pointtemp;
-  boolT testouter;
-
-  maxoutside= qh_maxouter();
-  maxoutside += qh DISTround;
-  /* one more qh.DISTround for check computation */
-  trace1((qh ferr, 1025, "qh_check_points: check all points below %2.2g of all facet planes\n",
-          maxoutside));
-  if (qh num_good)   /* miss counts other_points and !good facets */
-     total= (float)qh num_good * (float)qh num_points;
-  else
-     total= (float)qh num_facets * (float)qh num_points;
-  if (total >= qh_VERIFYdirect && !qh maxoutdone) {
-    if (!qh_QUICKhelp && qh SKIPcheckmax && qh MERGING)
-      qh_fprintf(qh ferr, 7075, "qhull input warning: merging without checking outer planes('Q5' or 'Po').\n\
-Verify may report that a point is outside of a facet.\n");
-    qh_check_bestdist();
-  }else {
-    if (qh_MAXoutside && qh maxoutdone)
-      testouter= True;
-    else
-      testouter= False;
-    if (!qh_QUICKhelp) {
-      if (qh MERGEexact)
-        qh_fprintf(qh ferr, 7076, "qhull input warning: exact merge ('Qx').  Verify may report that a point\n\
-is outside of a facet.  See qh-optq.htm#Qx\n");
-      else if (qh SKIPcheckmax || qh NOnearinside)
-        qh_fprintf(qh ferr, 7077, "qhull input warning: no outer plane check ('Q5') or no processing of\n\
-near-inside points ('Q8').  Verify may report that a point is outside\n\
-of a facet.\n");
-    }
-    if (qh PRINTprecision) {
-      if (testouter)
-        qh_fprintf(qh ferr, 8098, "\n\
-Output completed.  Verifying that all points are below outer planes of\n\
-all %sfacets.  Will make %2.0f distance computations.\n",
-              (qh ONLYgood ?  "good " : ""), total);
-      else
-        qh_fprintf(qh ferr, 8099, "\n\
-Output completed.  Verifying that all points are below %2.2g of\n\
-all %sfacets.  Will make %2.0f distance computations.\n",
-              maxoutside, (qh ONLYgood ?  "good " : ""), total);
-    }
-    FORALLfacets {
-      if (!facet->good && qh ONLYgood)
-        continue;
-      if (facet->flipped)
-        continue;
-      if (!facet->normal) {
-        qh_fprintf(qh ferr, 7061, "qhull warning (qh_check_points): missing normal for facet f%d\n", facet->id);
-        continue;
-      }
-      if (testouter) {
-#if qh_MAXoutside
-        maxoutside= facet->maxoutside + 2* qh DISTround;
-        /* one DISTround to actual point and another to computed point */
-#endif
-      }
-      FORALLpoints {
-        if (point != qh GOODpointp)
-          qh_check_point(point, facet, &maxoutside, &maxdist, &errfacet1, &errfacet2);
-      }
-      FOREACHpoint_(qh other_points) {
-        if (point != qh GOODpointp)
-          qh_check_point(point, facet, &maxoutside, &maxdist, &errfacet1, &errfacet2);
-      }
-    }
-    if (maxdist > qh outside_err) {
-      qh_fprintf(qh ferr, 6112, "qhull precision error (qh_check_points): a coplanar point is %6.2g from convex hull.  The maximum value(qh.outside_err) is %6.2g\n",
-                maxdist, qh outside_err );
-      qh_errexit2( qh_ERRprec, errfacet1, errfacet2 );
-    }else if (errfacet1 && qh outside_err > REALmax/2)
-        qh_errexit2( qh_ERRprec, errfacet1, errfacet2 );
-    /* else if errfacet1, the error was logged to qh.ferr but does not effect the output */
-    trace0((qh ferr, 21, "qh_check_points: max distance outside %2.2g\n", maxdist));
-  }
-} /* check_points */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkconvex">-</a>
-
-  qh_checkconvex( facetlist, fault )
-    check that each ridge in facetlist is convex
-    fault = qh_DATAfault if reporting errors
-          = qh_ALGORITHMfault otherwise
-
-  returns:
-    counts Zconcaveridges and Zcoplanarridges
-    errors if concaveridge or if merging an coplanar ridge
-
-  note:
-    if not merging,
-      tests vertices for neighboring simplicial facets
-    else if ZEROcentrum,
-      tests vertices for neighboring simplicial   facets
-    else
-      tests centrums of neighboring facets
-
-  design:
-    for all facets
-      report flipped facets
-      if ZEROcentrum and simplicial neighbors
-        test vertices for neighboring simplicial facets
-      else
-        test centrum against all neighbors
-*/
-void qh_checkconvex(facetT *facetlist, int fault) {
-  facetT *facet, *neighbor, **neighborp, *errfacet1=NULL, *errfacet2=NULL;
-  vertexT *vertex;
-  realT dist;
-  pointT *centrum;
-  boolT waserror= False, centrum_warning= False, tempcentrum= False, allsimplicial;
-  int neighbor_i;
-
-  trace1((qh ferr, 1026, "qh_checkconvex: check all ridges are convex\n"));
-  if (!qh RERUN) {
-    zzval_(Zconcaveridges)= 0;
-    zzval_(Zcoplanarridges)= 0;
-  }
-  FORALLfacet_(facetlist) {
-    if (facet->flipped) {
-      qh_precision("flipped facet");
-      qh_fprintf(qh ferr, 6113, "qhull precision error: f%d is flipped(interior point is outside)\n",
-               facet->id);
-      errfacet1= facet;
-      waserror= True;
-      continue;
-    }
-    if (qh MERGING && (!qh ZEROcentrum || !facet->simplicial || facet->tricoplanar))
-      allsimplicial= False;
-    else {
-      allsimplicial= True;
-      neighbor_i= 0;
-      FOREACHneighbor_(facet) {
-        vertex= SETelemt_(facet->vertices, neighbor_i++, vertexT);
-        if (!neighbor->simplicial || neighbor->tricoplanar) {
-          allsimplicial= False;
-          continue;
-        }
-        qh_distplane(vertex->point, neighbor, &dist);
-        if (dist > -qh DISTround) {
-          if (fault == qh_DATAfault) {
-            qh_precision("coplanar or concave ridge");
-            qh_fprintf(qh ferr, 6114, "qhull precision error: initial simplex is not convex. Distance=%.2g\n", dist);
-            qh_errexit(qh_ERRsingular, NULL, NULL);
-          }
-          if (dist > qh DISTround) {
-            zzinc_(Zconcaveridges);
-            qh_precision("concave ridge");
-            qh_fprintf(qh ferr, 6115, "qhull precision error: f%d is concave to f%d, since p%d(v%d) is %6.4g above\n",
-              facet->id, neighbor->id, qh_pointid(vertex->point), vertex->id, dist);
-            errfacet1= facet;
-            errfacet2= neighbor;
-            waserror= True;
-          }else if (qh ZEROcentrum) {
-            if (dist > 0) {     /* qh_checkzero checks that dist < - qh DISTround */
-              zzinc_(Zcoplanarridges);
-              qh_precision("coplanar ridge");
-              qh_fprintf(qh ferr, 6116, "qhull precision error: f%d is clearly not convex to f%d, since p%d(v%d) is %6.4g above\n",
-                facet->id, neighbor->id, qh_pointid(vertex->point), vertex->id, dist);
-              errfacet1= facet;
-              errfacet2= neighbor;
-              waserror= True;
-            }
-          }else {
-            zzinc_(Zcoplanarridges);
-            qh_precision("coplanar ridge");
-            trace0((qh ferr, 22, "qhull precision error: f%d may be coplanar to f%d, since p%d(v%d) is within %6.4g during p%d\n",
-              facet->id, neighbor->id, qh_pointid(vertex->point), vertex->id, dist, qh furthest_id));
-          }
-        }
-      }
-    }
-    if (!allsimplicial) {
-      if (qh CENTERtype == qh_AScentrum) {
-        if (!facet->center)
-          facet->center= qh_getcentrum(facet);
-        centrum= facet->center;
-      }else {
-        if (!centrum_warning && (!facet->simplicial || facet->tricoplanar)) {
-           centrum_warning= True;
-           qh_fprintf(qh ferr, 7062, "qhull warning: recomputing centrums for convexity test.  This may lead to false, precision errors.\n");
-        }
-        centrum= qh_getcentrum(facet);
-        tempcentrum= True;
-      }
-      FOREACHneighbor_(facet) {
-        if (qh ZEROcentrum && facet->simplicial && neighbor->simplicial)
-          continue;
-        if (facet->tricoplanar || neighbor->tricoplanar)
-          continue;
-        zzinc_(Zdistconvex);
-        qh_distplane(centrum, neighbor, &dist);
-        if (dist > qh DISTround) {
-          zzinc_(Zconcaveridges);
-          qh_precision("concave ridge");
-          qh_fprintf(qh ferr, 6117, "qhull precision error: f%d is concave to f%d.  Centrum of f%d is %6.4g above f%d\n",
-            facet->id, neighbor->id, facet->id, dist, neighbor->id);
-          errfacet1= facet;
-          errfacet2= neighbor;
-          waserror= True;
-        }else if (dist >= 0.0) {   /* if arithmetic always rounds the same,
-                                     can test against centrum radius instead */
-          zzinc_(Zcoplanarridges);
-          qh_precision("coplanar ridge");
-          qh_fprintf(qh ferr, 6118, "qhull precision error: f%d is coplanar or concave to f%d.  Centrum of f%d is %6.4g above f%d\n",
-            facet->id, neighbor->id, facet->id, dist, neighbor->id);
-          errfacet1= facet;
-          errfacet2= neighbor;
-          waserror= True;
-        }
-      }
-      if (tempcentrum)
-        qh_memfree(centrum, qh normal_size);
-    }
-  }
-  if (waserror && !qh FORCEoutput)
-    qh_errexit2 (qh_ERRprec, errfacet1, errfacet2);
-} /* checkconvex */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkfacet">-</a>
-
-  qh_checkfacet( facet, newmerge, waserror )
-    checks for consistency errors in facet
-    newmerge set if from merge.c
-
-  returns:
-    sets waserror if any error occurs
-
-  checks:
-    vertex ids are inverse sorted
-    unless newmerge, at least hull_dim neighbors and vertices (exactly if simplicial)
-    if non-simplicial, at least as many ridges as neighbors
-    neighbors are not duplicated
-    ridges are not duplicated
-    in 3-d, ridges=verticies
-    (qh.hull_dim-1) ridge vertices
-    neighbors are reciprocated
-    ridge neighbors are facet neighbors and a ridge for every neighbor
-    simplicial neighbors match facetintersect
-    vertex intersection matches vertices of common ridges
-    vertex neighbors and facet vertices agree
-    all ridges have distinct vertex sets
-
-  notes:
-    uses neighbor->seen
-
-  design:
-    check sets
-    check vertices
-    check sizes of neighbors and vertices
-    check for qh_MERGEridge and qh_DUPLICATEridge flags
-    check neighbor set
-    check ridge set
-    check ridges, neighbors, and vertices
-*/
-void qh_checkfacet(facetT *facet, boolT newmerge, boolT *waserrorp) {
-  facetT *neighbor, **neighborp, *errother=NULL;
-  ridgeT *ridge, **ridgep, *errridge= NULL, *ridge2;
-  vertexT *vertex, **vertexp;
-  unsigned previousid= INT_MAX;
-  int numneighbors, numvertices, numridges=0, numRvertices=0;
-  boolT waserror= False;
-  int skipA, skipB, ridge_i, ridge_n, i;
-  setT *intersection;
-
-  if (facet->visible) {
-    qh_fprintf(qh ferr, 6119, "qhull internal error (qh_checkfacet): facet f%d is on the visible_list\n",
-      facet->id);
-    qh_errexit(qh_ERRqhull, facet, NULL);
-  }
-  if (!facet->normal) {
-    qh_fprintf(qh ferr, 6120, "qhull internal error (qh_checkfacet): facet f%d does not have  a normal\n",
-      facet->id);
-    waserror= True;
-  }
-  qh_setcheck(facet->vertices, "vertices for f", facet->id);
-  qh_setcheck(facet->ridges, "ridges for f", facet->id);
-  qh_setcheck(facet->outsideset, "outsideset for f", facet->id);
-  qh_setcheck(facet->coplanarset, "coplanarset for f", facet->id);
-  qh_setcheck(facet->neighbors, "neighbors for f", facet->id);
-  FOREACHvertex_(facet->vertices) {
-    if (vertex->deleted) {
-      qh_fprintf(qh ferr, 6121, "qhull internal error (qh_checkfacet): deleted vertex v%d in f%d\n", vertex->id, facet->id);
-      qh_errprint("ERRONEOUS", NULL, NULL, NULL, vertex);
-      waserror= True;
-    }
-    if (vertex->id >= previousid) {
-      qh_fprintf(qh ferr, 6122, "qhull internal error (qh_checkfacet): vertices of f%d are not in descending id order at v%d\n", facet->id, vertex->id);
-      waserror= True;
-      break;
-    }
-    previousid= vertex->id;
-  }
-  numneighbors= qh_setsize(facet->neighbors);
-  numvertices= qh_setsize(facet->vertices);
-  numridges= qh_setsize(facet->ridges);
-  if (facet->simplicial) {
-    if (numvertices+numneighbors != 2*qh hull_dim
-    && !facet->degenerate && !facet->redundant) {
-      qh_fprintf(qh ferr, 6123, "qhull internal error (qh_checkfacet): for simplicial facet f%d, #vertices %d + #neighbors %d != 2*qh hull_dim\n",
-                facet->id, numvertices, numneighbors);
-      qh_setprint(qh ferr, "", facet->neighbors);
-      waserror= True;
-    }
-  }else { /* non-simplicial */
-    if (!newmerge
-    &&(numvertices < qh hull_dim || numneighbors < qh hull_dim)
-    && !facet->degenerate && !facet->redundant) {
-      qh_fprintf(qh ferr, 6124, "qhull internal error (qh_checkfacet): for facet f%d, #vertices %d or #neighbors %d < qh hull_dim\n",
-         facet->id, numvertices, numneighbors);
-       waserror= True;
-    }
-    /* in 3-d, can get a vertex twice in an edge list, e.g., RBOX 1000 s W1e-13 t995849315 D2 | QHULL d Tc Tv TP624 TW1e-13 T4 */
-    if (numridges < numneighbors
-    ||(qh hull_dim == 3 && numvertices > numridges && !qh NEWfacets)
-    ||(qh hull_dim == 2 && numridges + numvertices + numneighbors != 6)) {
-      if (!facet->degenerate && !facet->redundant) {
-        qh_fprintf(qh ferr, 6125, "qhull internal error (qh_checkfacet): for facet f%d, #ridges %d < #neighbors %d or(3-d) > #vertices %d or(2-d) not all 2\n",
-            facet->id, numridges, numneighbors, numvertices);
-        waserror= True;
-      }
-    }
-  }
-  FOREACHneighbor_(facet) {
-    if (neighbor == qh_MERGEridge || neighbor == qh_DUPLICATEridge) {
-      qh_fprintf(qh ferr, 6126, "qhull internal error (qh_checkfacet): facet f%d still has a MERGE or DUP neighbor\n", facet->id);
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-    neighbor->seen= True;
-  }
-  FOREACHneighbor_(facet) {
-    if (!qh_setin(neighbor->neighbors, facet)) {
-      qh_fprintf(qh ferr, 6127, "qhull internal error (qh_checkfacet): facet f%d has neighbor f%d, but f%d does not have neighbor f%d\n",
-              facet->id, neighbor->id, neighbor->id, facet->id);
-      errother= neighbor;
-      waserror= True;
-    }
-    if (!neighbor->seen) {
-      qh_fprintf(qh ferr, 6128, "qhull internal error (qh_checkfacet): facet f%d has a duplicate neighbor f%d\n",
-              facet->id, neighbor->id);
-      errother= neighbor;
-      waserror= True;
-    }
-    neighbor->seen= False;
-  }
-  FOREACHridge_(facet->ridges) {
-    qh_setcheck(ridge->vertices, "vertices for r", ridge->id);
-    ridge->seen= False;
-  }
-  FOREACHridge_(facet->ridges) {
-    if (ridge->seen) {
-      qh_fprintf(qh ferr, 6129, "qhull internal error (qh_checkfacet): facet f%d has a duplicate ridge r%d\n",
-              facet->id, ridge->id);
-      errridge= ridge;
-      waserror= True;
-    }
-    ridge->seen= True;
-    numRvertices= qh_setsize(ridge->vertices);
-    if (numRvertices != qh hull_dim - 1) {
-      qh_fprintf(qh ferr, 6130, "qhull internal error (qh_checkfacet): ridge between f%d and f%d has %d vertices\n",
-                ridge->top->id, ridge->bottom->id, numRvertices);
-      errridge= ridge;
-      waserror= True;
-    }
-    neighbor= otherfacet_(ridge, facet);
-    neighbor->seen= True;
-    if (!qh_setin(facet->neighbors, neighbor)) {
-      qh_fprintf(qh ferr, 6131, "qhull internal error (qh_checkfacet): for facet f%d, neighbor f%d of ridge r%d not in facet\n",
-           facet->id, neighbor->id, ridge->id);
-      errridge= ridge;
-      waserror= True;
-    }
-  }
-  if (!facet->simplicial) {
-    FOREACHneighbor_(facet) {
-      if (!neighbor->seen) {
-        qh_fprintf(qh ferr, 6132, "qhull internal error (qh_checkfacet): facet f%d does not have a ridge for neighbor f%d\n",
-              facet->id, neighbor->id);
-        errother= neighbor;
-        waserror= True;
-      }
-      intersection= qh_vertexintersect_new(facet->vertices, neighbor->vertices);
-      qh_settemppush(intersection);
-      FOREACHvertex_(facet->vertices) {
-        vertex->seen= False;
-        vertex->seen2= False;
-      }
-      FOREACHvertex_(intersection)
-        vertex->seen= True;
-      FOREACHridge_(facet->ridges) {
-        if (neighbor != otherfacet_(ridge, facet))
-            continue;
-        FOREACHvertex_(ridge->vertices) {
-          if (!vertex->seen) {
-            qh_fprintf(qh ferr, 6133, "qhull internal error (qh_checkfacet): vertex v%d in r%d not in f%d intersect f%d\n",
-                  vertex->id, ridge->id, facet->id, neighbor->id);
-            qh_errexit(qh_ERRqhull, facet, ridge);
-          }
-          vertex->seen2= True;
-        }
-      }
-      if (!newmerge) {
-        FOREACHvertex_(intersection) {
-          if (!vertex->seen2) {
-            if (qh IStracing >=3 || !qh MERGING) {
-              qh_fprintf(qh ferr, 6134, "qhull precision error (qh_checkfacet): vertex v%d in f%d intersect f%d but\n\
- not in a ridge.  This is ok under merging.  Last point was p%d\n",
-                     vertex->id, facet->id, neighbor->id, qh furthest_id);
-              if (!qh FORCEoutput && !qh MERGING) {
-                qh_errprint("ERRONEOUS", facet, neighbor, NULL, vertex);
-                if (!qh MERGING)
-                  qh_errexit(qh_ERRqhull, NULL, NULL);
-              }
-            }
-          }
-        }
-      }
-      qh_settempfree(&intersection);
-    }
-  }else { /* simplicial */
-    FOREACHneighbor_(facet) {
-      if (neighbor->simplicial) {
-        skipA= SETindex_(facet->neighbors, neighbor);
-        skipB= qh_setindex(neighbor->neighbors, facet);
-        if (!qh_setequal_skip(facet->vertices, skipA, neighbor->vertices, skipB)) {
-          qh_fprintf(qh ferr, 6135, "qhull internal error (qh_checkfacet): facet f%d skip %d and neighbor f%d skip %d do not match \n",
-                   facet->id, skipA, neighbor->id, skipB);
-          errother= neighbor;
-          waserror= True;
-        }
-      }
-    }
-  }
-  if (qh hull_dim < 5 && (qh IStracing > 2 || qh CHECKfrequently)) {
-    FOREACHridge_i_(facet->ridges) {           /* expensive */
-      for (i=ridge_i+1; i < ridge_n; i++) {
-        ridge2= SETelemt_(facet->ridges, i, ridgeT);
-        if (qh_setequal(ridge->vertices, ridge2->vertices)) {
-          qh_fprintf(qh ferr, 6227, "Qhull internal error (qh_checkfacet): ridges r%d and r%d have the same vertices\n",
-                  ridge->id, ridge2->id);
-          errridge= ridge;
-          waserror= True;
-        }
-      }
-    }
-  }
-  if (waserror) {
-    qh_errprint("ERRONEOUS", facet, errother, errridge, NULL);
-    *waserrorp= True;
-  }
-} /* checkfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkflipped_all">-</a>
-
-  qh_checkflipped_all( facetlist )
-    checks orientation of facets in list against interior point
-*/
-void qh_checkflipped_all(facetT *facetlist) {
-  facetT *facet;
-  boolT waserror= False;
-  realT dist;
-
-  if (facetlist == qh facet_list)
-    zzval_(Zflippedfacets)= 0;
-  FORALLfacet_(facetlist) {
-    if (facet->normal && !qh_checkflipped(facet, &dist, !qh_ALL)) {
-      qh_fprintf(qh ferr, 6136, "qhull precision error: facet f%d is flipped, distance= %6.12g\n",
-              facet->id, dist);
-      if (!qh FORCEoutput) {
-        qh_errprint("ERRONEOUS", facet, NULL, NULL, NULL);
-        waserror= True;
-      }
-    }
-  }
-  if (waserror) {
-    qh_fprintf(qh ferr, 8101, "\n\
-A flipped facet occurs when its distance to the interior point is\n\
-greater than %2.2g, the maximum roundoff error.\n", -qh DISTround);
-    qh_errexit(qh_ERRprec, NULL, NULL);
-  }
-} /* checkflipped_all */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkpolygon">-</a>
-
-  qh_checkpolygon( facetlist )
-    checks the correctness of the structure
-
-  notes:
-    call with either qh.facet_list or qh.newfacet_list
-    checks num_facets and num_vertices if qh.facet_list
-
-  design:
-    for each facet
-      checks facet and outside set
-    initializes vertexlist
-    for each facet
-      checks vertex set
-    if checking all facets(qh.facetlist)
-      check facet count
-      if qh.VERTEXneighbors
-        check vertex neighbors and count
-      check vertex count
-*/
-void qh_checkpolygon(facetT *facetlist) {
-  facetT *facet;
-  vertexT *vertex, **vertexp, *vertexlist;
-  int numfacets= 0, numvertices= 0, numridges= 0;
-  int totvneighbors= 0, totvertices= 0;
-  boolT waserror= False, nextseen= False, visibleseen= False;
-
-  trace1((qh ferr, 1027, "qh_checkpolygon: check all facets from f%d\n", facetlist->id));
-  if (facetlist != qh facet_list || qh ONLYgood)
-    nextseen= True;
-  FORALLfacet_(facetlist) {
-    if (facet == qh visible_list)
-      visibleseen= True;
-    if (!facet->visible) {
-      if (!nextseen) {
-        if (facet == qh facet_next)
-          nextseen= True;
-        else if (qh_setsize(facet->outsideset)) {
-          if (!qh NARROWhull
-#if !qh_COMPUTEfurthest
-               || facet->furthestdist >= qh MINoutside
-#endif
-                        ) {
-            qh_fprintf(qh ferr, 6137, "qhull internal error (qh_checkpolygon): f%d has outside points before qh facet_next\n",
-                     facet->id);
-            qh_errexit(qh_ERRqhull, facet, NULL);
-          }
-        }
-      }
-      numfacets++;
-      qh_checkfacet(facet, False, &waserror);
-    }
-  }
-  if (qh visible_list && !visibleseen && facetlist == qh facet_list) {
-    qh_fprintf(qh ferr, 6138, "qhull internal error (qh_checkpolygon): visible list f%d no longer on facet list\n", qh visible_list->id);
-    qh_printlists();
-    qh_errexit(qh_ERRqhull, qh visible_list, NULL);
-  }
-  if (facetlist == qh facet_list)
-    vertexlist= qh vertex_list;
-  else if (facetlist == qh newfacet_list)
-    vertexlist= qh newvertex_list;
-  else
-    vertexlist= NULL;
-  FORALLvertex_(vertexlist) {
-    vertex->seen= False;
-    vertex->visitid= 0;
-  }
-  FORALLfacet_(facetlist) {
-    if (facet->visible)
-      continue;
-    if (facet->simplicial)
-      numridges += qh hull_dim;
-    else
-      numridges += qh_setsize(facet->ridges);
-    FOREACHvertex_(facet->vertices) {
-      vertex->visitid++;
-      if (!vertex->seen) {
-        vertex->seen= True;
-        numvertices++;
-        if (qh_pointid(vertex->point) == -1) {
-          qh_fprintf(qh ferr, 6139, "qhull internal error (qh_checkpolygon): unknown point %p for vertex v%d first_point %p\n",
-                   vertex->point, vertex->id, qh first_point);
-          waserror= True;
-        }
-      }
-    }
-  }
-  qh vertex_visit += (unsigned int)numfacets;
-  if (facetlist == qh facet_list) {
-    if (numfacets != qh num_facets - qh num_visible) {
-      qh_fprintf(qh ferr, 6140, "qhull internal error (qh_checkpolygon): actual number of facets is %d, cumulative facet count is %d - %d visible facets\n",
-              numfacets, qh num_facets, qh num_visible);
-      waserror= True;
-    }
-    qh vertex_visit++;
-    if (qh VERTEXneighbors) {
-      FORALLvertices {
-        qh_setcheck(vertex->neighbors, "neighbors for v", vertex->id);
-        if (vertex->deleted)
-          continue;
-        totvneighbors += qh_setsize(vertex->neighbors);
-      }
-      FORALLfacet_(facetlist)
-        totvertices += qh_setsize(facet->vertices);
-      if (totvneighbors != totvertices) {
-        qh_fprintf(qh ferr, 6141, "qhull internal error (qh_checkpolygon): vertex neighbors inconsistent.  Totvneighbors %d, totvertices %d\n",
-                totvneighbors, totvertices);
-        waserror= True;
-      }
-    }
-    if (numvertices != qh num_vertices - qh_setsize(qh del_vertices)) {
-      qh_fprintf(qh ferr, 6142, "qhull internal error (qh_checkpolygon): actual number of vertices is %d, cumulative vertex count is %d\n",
-              numvertices, qh num_vertices - qh_setsize(qh del_vertices));
-      waserror= True;
-    }
-    if (qh hull_dim == 2 && numvertices != numfacets) {
-      qh_fprintf(qh ferr, 6143, "qhull internal error (qh_checkpolygon): #vertices %d != #facets %d\n",
-        numvertices, numfacets);
-      waserror= True;
-    }
-    if (qh hull_dim == 3 && numvertices + numfacets - numridges/2 != 2) {
-      qh_fprintf(qh ferr, 7063, "qhull warning: #vertices %d + #facets %d - #edges %d != 2\n\
-        A vertex appears twice in a edge list.  May occur during merging.",
-        numvertices, numfacets, numridges/2);
-      /* occurs if lots of merging and a vertex ends up twice in an edge list.  e.g., RBOX 1000 s W1e-13 t995849315 D2 | QHULL d Tc Tv */
-    }
-  }
-  if (waserror)
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-} /* checkpolygon */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="checkvertex">-</a>
-
-  qh_checkvertex( vertex )
-    check vertex for consistency
-    checks vertex->neighbors
-
-  notes:
-    neighbors checked efficiently in checkpolygon
-*/
-void qh_checkvertex(vertexT *vertex) {
-  boolT waserror= False;
-  facetT *neighbor, **neighborp, *errfacet=NULL;
-
-  if (qh_pointid(vertex->point) == -1) {
-    qh_fprintf(qh ferr, 6144, "qhull internal error (qh_checkvertex): unknown point id %p\n", vertex->point);
-    waserror= True;
-  }
-  if (vertex->id >= qh vertex_id) {
-    qh_fprintf(qh ferr, 6145, "qhull internal error (qh_checkvertex): unknown vertex id %d\n", vertex->id);
-    waserror= True;
-  }
-  if (!waserror && !vertex->deleted) {
-    if (qh_setsize(vertex->neighbors)) {
-      FOREACHneighbor_(vertex) {
-        if (!qh_setin(neighbor->vertices, vertex)) {
-          qh_fprintf(qh ferr, 6146, "qhull internal error (qh_checkvertex): neighbor f%d does not contain v%d\n", neighbor->id, vertex->id);
-          errfacet= neighbor;
-          waserror= True;
-        }
-      }
-    }
-  }
-  if (waserror) {
-    qh_errprint("ERRONEOUS", NULL, NULL, NULL, vertex);
-    qh_errexit(qh_ERRqhull, errfacet, NULL);
-  }
-} /* checkvertex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="clearcenters">-</a>
-
-  qh_clearcenters( type )
-    clear old data from facet->center
-
-  notes:
-    sets new centertype
-    nop if CENTERtype is the same
-*/
-void qh_clearcenters(qh_CENTER type) {
-  facetT *facet;
-
-  if (qh CENTERtype != type) {
-    FORALLfacets {
-      if (facet->tricoplanar && !facet->keepcentrum)
-          facet->center= NULL;
-      else if (qh CENTERtype == qh_ASvoronoi){
-        if (facet->center) {
-          qh_memfree(facet->center, qh center_size);
-          facet->center= NULL;
-        }
-      }else /* qh CENTERtype == qh_AScentrum */ {
-        if (facet->center) {
-          qh_memfree(facet->center, qh normal_size);
-          facet->center= NULL;
-        }
-      }
-    }
-    qh CENTERtype= type;
-  }
-  trace2((qh ferr, 2043, "qh_clearcenters: switched to center type %d\n", type));
-} /* clearcenters */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="createsimplex">-</a>
-
-  qh_createsimplex( vertices )
-    creates a simplex from a set of vertices
-
-  returns:
-    initializes qh.facet_list to the simplex
-    initializes qh.newfacet_list, .facet_tail
-    initializes qh.vertex_list, .newvertex_list, .vertex_tail
-
-  design:
-    initializes lists
-    for each vertex
-      create a new facet
-    for each new facet
-      create its neighbor set
-*/
-void qh_createsimplex(setT *vertices) {
-  facetT *facet= NULL, *newfacet;
-  boolT toporient= True;
-  int vertex_i, vertex_n, nth;
-  setT *newfacets= qh_settemp(qh hull_dim+1);
-  vertexT *vertex;
-
-  qh facet_list= qh newfacet_list= qh facet_tail= qh_newfacet();
-  qh num_facets= qh num_vertices= qh num_visible= 0;
-  qh vertex_list= qh newvertex_list= qh vertex_tail= qh_newvertex(NULL);
-  FOREACHvertex_i_(vertices) {
-    newfacet= qh_newfacet();
-    newfacet->vertices= qh_setnew_delnthsorted(vertices, vertex_n,
-                                                vertex_i, 0);
-    newfacet->toporient= (unsigned char)toporient;
-    qh_appendfacet(newfacet);
-    newfacet->newfacet= True;
-    qh_appendvertex(vertex);
-    qh_setappend(&newfacets, newfacet);
-    toporient ^= True;
-  }
-  FORALLnew_facets {
-    nth= 0;
-    FORALLfacet_(qh newfacet_list) {
-      if (facet != newfacet)
-        SETelem_(newfacet->neighbors, nth++)= facet;
-    }
-    qh_settruncate(newfacet->neighbors, qh hull_dim);
-  }
-  qh_settempfree(&newfacets);
-  trace1((qh ferr, 1028, "qh_createsimplex: created simplex\n"));
-} /* createsimplex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="delridge">-</a>
-
-  qh_delridge( ridge )
-    deletes ridge from data structures it belongs to
-    frees up its memory
-
-  notes:
-    in merge.c, caller sets vertex->delridge for each vertex
-    ridges also freed in qh_freeqhull
-*/
-void qh_delridge(ridgeT *ridge) {
-  void **freelistp; /* used !qh_NOmem */
-
-  qh_setdel(ridge->top->ridges, ridge);
-  qh_setdel(ridge->bottom->ridges, ridge);
-  qh_setfree(&(ridge->vertices));
-  qh_memfree_(ridge, (int)sizeof(ridgeT), freelistp);
-} /* delridge */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="delvertex">-</a>
-
-  qh_delvertex( vertex )
-    deletes a vertex and frees its memory
-
-  notes:
-    assumes vertex->adjacencies have been updated if needed
-    unlinks from vertex_list
-*/
-void qh_delvertex(vertexT *vertex) {
-
-  if (vertex == qh tracevertex)
-    qh tracevertex= NULL;
-  qh_removevertex(vertex);
-  qh_setfree(&vertex->neighbors);
-  qh_memfree(vertex, (int)sizeof(vertexT));
-} /* delvertex */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="facet3vertex">-</a>
-
-  qh_facet3vertex(  )
-    return temporary set of 3-d vertices in qh_ORIENTclock order
-
-  design:
-    if simplicial facet
-      build set from facet->vertices with facet->toporient
-    else
-      for each ridge in order
-        build set from ridge's vertices
-*/
-setT *qh_facet3vertex(facetT *facet) {
-  ridgeT *ridge, *firstridge;
-  vertexT *vertex;
-  int cntvertices, cntprojected=0;
-  setT *vertices;
-
-  cntvertices= qh_setsize(facet->vertices);
-  vertices= qh_settemp(cntvertices);
-  if (facet->simplicial) {
-    if (cntvertices != 3) {
-      qh_fprintf(qh ferr, 6147, "qhull internal error (qh_facet3vertex): only %d vertices for simplicial facet f%d\n",
-                  cntvertices, facet->id);
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-    qh_setappend(&vertices, SETfirst_(facet->vertices));
-    if (facet->toporient ^ qh_ORIENTclock)
-      qh_setappend(&vertices, SETsecond_(facet->vertices));
-    else
-      qh_setaddnth(&vertices, 0, SETsecond_(facet->vertices));
-    qh_setappend(&vertices, SETelem_(facet->vertices, 2));
-  }else {
-    ridge= firstridge= SETfirstt_(facet->ridges, ridgeT);   /* no infinite */
-    while ((ridge= qh_nextridge3d(ridge, facet, &vertex))) {
-      qh_setappend(&vertices, vertex);
-      if (++cntprojected > cntvertices || ridge == firstridge)
-        break;
-    }
-    if (!ridge || cntprojected != cntvertices) {
-      qh_fprintf(qh ferr, 6148, "qhull internal error (qh_facet3vertex): ridges for facet %d don't match up.  got at least %d\n",
-                  facet->id, cntprojected);
-      qh_errexit(qh_ERRqhull, facet, ridge);
-    }
-  }
-  return vertices;
-} /* facet3vertex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="findbestfacet">-</a>
-
-  qh_findbestfacet( point, bestoutside, bestdist, isoutside )
-    find facet that is furthest below a point
-
-    for Delaunay triangulations,
-      Use qh_setdelaunay() to lift point to paraboloid and scale by 'Qbb' if needed
-      Do not use options 'Qbk', 'QBk', or 'QbB' since they scale the coordinates.
-
-  returns:
-    if bestoutside is set (e.g., qh_ALL)
-      returns best facet that is not upperdelaunay
-      if Delaunay and inside, point is outside circumsphere of bestfacet
-    else
-      returns first facet below point
-      if point is inside, returns nearest, !upperdelaunay facet
-    distance to facet
-    isoutside set if outside of facet
-
-  notes:
-    For tricoplanar facets, this finds one of the tricoplanar facets closest
-    to the point.  For Delaunay triangulations, the point may be inside a
-    different tricoplanar facet. See <a href="../html/qh-code.htm#findfacet">locate a facet with qh_findbestfacet()</a>
-
-    If inside, qh_findbestfacet performs an exhaustive search
-       this may be too conservative.  Sometimes it is clearly required.
-
-    qh_findbestfacet is not used by qhull.
-    uses qh.visit_id and qh.coplanarset
-
-  see:
-    <a href="geom.c#findbest">qh_findbest</a>
-*/
-facetT *qh_findbestfacet(pointT *point, boolT bestoutside,
-           realT *bestdist, boolT *isoutside) {
-  facetT *bestfacet= NULL;
-  int numpart, totpart= 0;
-
-  bestfacet= qh_findbest(point, qh facet_list,
-                            bestoutside, !qh_ISnewfacets, bestoutside /* qh_NOupper */,
-                            bestdist, isoutside, &totpart);
-  if (*bestdist < -qh DISTround) {
-    bestfacet= qh_findfacet_all(point, bestdist, isoutside, &numpart);
-    totpart += numpart;
-    if ((isoutside && bestoutside)
-    || (!isoutside && bestfacet->upperdelaunay)) {
-      bestfacet= qh_findbest(point, bestfacet,
-                            bestoutside, False, bestoutside,
-                            bestdist, isoutside, &totpart);
-      totpart += numpart;
-    }
-  }
-  trace3((qh ferr, 3014, "qh_findbestfacet: f%d dist %2.2g isoutside %d totpart %d\n",
-          bestfacet->id, *bestdist, *isoutside, totpart));
-  return bestfacet;
-} /* findbestfacet */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="findbestlower">-</a>
-
-  qh_findbestlower( facet, point, bestdist, numpart )
-    returns best non-upper, non-flipped neighbor of facet for point
-    if needed, searches vertex neighbors
-
-  returns:
-    returns bestdist and updates numpart
-
-  notes:
-    if Delaunay and inside, point is outside of circumsphere of bestfacet
-    called by qh_findbest() for points above an upperdelaunay facet
-
-*/
-facetT *qh_findbestlower(facetT *upperfacet, pointT *point, realT *bestdistp, int *numpart) {
-  facetT *neighbor, **neighborp, *bestfacet= NULL;
-  realT bestdist= -REALmax/2 /* avoid underflow */;
-  realT dist;
-  vertexT *vertex;
-
-  zinc_(Zbestlower);
-  FOREACHneighbor_(upperfacet) {
-    if (neighbor->upperdelaunay || neighbor->flipped)
-      continue;
-    (*numpart)++;
-    qh_distplane(point, neighbor, &dist);
-    if (dist > bestdist) {
-      bestfacet= neighbor;
-      bestdist= dist;
-    }
-  }
-  if (!bestfacet) {
-    zinc_(Zbestlowerv);
-    /* rarely called, numpart does not count nearvertex computations */
-    vertex= qh_nearvertex(upperfacet, point, &dist);
-    qh_vertexneighbors();
-    FOREACHneighbor_(vertex) {
-      if (neighbor->upperdelaunay || neighbor->flipped)
-        continue;
-      (*numpart)++;
-      qh_distplane(point, neighbor, &dist);
-      if (dist > bestdist) {
-        bestfacet= neighbor;
-        bestdist= dist;
-      }
-    }
-  }
-  if (!bestfacet) {
-    qh_fprintf(qh ferr, 6228, "\n\
-Qhull internal error (qh_findbestlower): all neighbors of facet %d are flipped or upper Delaunay.\n\
-Please report this error to qhull_bug@qhull.org with the input and all of the output.\n",
-       upperfacet->id);
-    qh_errexit(qh_ERRqhull, upperfacet, NULL);
-  }
-  *bestdistp= bestdist;
-  trace3((qh ferr, 3015, "qh_findbestlower: f%d dist %2.2g for f%d p%d\n",
-          bestfacet->id, bestdist, upperfacet->id, qh_pointid(point)));
-  return bestfacet;
-} /* findbestlower */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="findfacet_all">-</a>
-
-  qh_findfacet_all( point, bestdist, isoutside, numpart )
-    exhaustive search for facet below a point
-
-    for Delaunay triangulations,
-      Use qh_setdelaunay() to lift point to paraboloid and scale by 'Qbb' if needed
-      Do not use options 'Qbk', 'QBk', or 'QbB' since they scale the coordinates.
-
-  returns:
-    returns first facet below point
-    if point is inside,
-      returns nearest facet
-    distance to facet
-    isoutside if point is outside of the hull
-    number of distance tests
-
-  notes:
-    for library users, not used by Qhull
-*/
-facetT *qh_findfacet_all(pointT *point, realT *bestdist, boolT *isoutside,
-                          int *numpart) {
-  facetT *bestfacet= NULL, *facet;
-  realT dist;
-  int totpart= 0;
-
-  *bestdist= -REALmax;
-  *isoutside= False;
-  FORALLfacets {
-    if (facet->flipped || !facet->normal)
-      continue;
-    totpart++;
-    qh_distplane(point, facet, &dist);
-    if (dist > *bestdist) {
-      *bestdist= dist;
-      bestfacet= facet;
-      if (dist > qh MINoutside) {
-        *isoutside= True;
-        break;
-      }
-    }
-  }
-  *numpart= totpart;
-  trace3((qh ferr, 3016, "qh_findfacet_all: f%d dist %2.2g isoutside %d totpart %d\n",
-          getid_(bestfacet), *bestdist, *isoutside, totpart));
-  return bestfacet;
-} /* findfacet_all */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="findgood">-</a>
-
-  qh_findgood( facetlist, goodhorizon )
-    identify good facets for qh.PRINTgood
-    if qh.GOODvertex>0
-      facet includes point as vertex
-      if !match, returns goodhorizon
-      inactive if qh.MERGING
-    if qh.GOODpoint
-      facet is visible or coplanar (>0) or not visible (<0)
-    if qh.GOODthreshold
-      facet->normal matches threshold
-    if !goodhorizon and !match,
-      selects facet with closest angle
-      sets GOODclosest
-
-  returns:
-    number of new, good facets found
-    determines facet->good
-    may update qh.GOODclosest
-
-  notes:
-    qh_findgood_all further reduces the good region
-
-  design:
-    count good facets
-    mark good facets for qh.GOODpoint
-    mark good facets for qh.GOODthreshold
-    if necessary
-      update qh.GOODclosest
-*/
-int qh_findgood(facetT *facetlist, int goodhorizon) {
-  facetT *facet, *bestfacet= NULL;
-  realT angle, bestangle= REALmax, dist;
-  int  numgood=0;
-
-  FORALLfacet_(facetlist) {
-    if (facet->good)
-      numgood++;
-  }
-  if (qh GOODvertex>0 && !qh MERGING) {
-    FORALLfacet_(facetlist) {
-      if (!qh_isvertex(qh GOODvertexp, facet->vertices)) {
-        facet->good= False;
-        numgood--;
-      }
-    }
-  }
-  if (qh GOODpoint && numgood) {
-    FORALLfacet_(facetlist) {
-      if (facet->good && facet->normal) {
-        zinc_(Zdistgood);
-        qh_distplane(qh GOODpointp, facet, &dist);
-        if ((qh GOODpoint > 0) ^ (dist > 0.0)) {
-          facet->good= False;
-          numgood--;
-        }
-      }
-    }
-  }
-  if (qh GOODthreshold && (numgood || goodhorizon || qh GOODclosest)) {
-    FORALLfacet_(facetlist) {
-      if (facet->good && facet->normal) {
-        if (!qh_inthresholds(facet->normal, &angle)) {
-          facet->good= False;
-          numgood--;
-          if (angle < bestangle) {
-            bestangle= angle;
-            bestfacet= facet;
-          }
-        }
-      }
-    }
-    if (!numgood && (!goodhorizon || qh GOODclosest)) {
-      if (qh GOODclosest) {
-        if (qh GOODclosest->visible)
-          qh GOODclosest= NULL;
-        else {
-          qh_inthresholds(qh GOODclosest->normal, &angle);
-          if (angle < bestangle)
-            bestfacet= qh GOODclosest;
-        }
-      }
-      if (bestfacet && bestfacet != qh GOODclosest) {
-        if (qh GOODclosest)
-          qh GOODclosest->good= False;
-        qh GOODclosest= bestfacet;
-        bestfacet->good= True;
-        numgood++;
-        trace2((qh ferr, 2044, "qh_findgood: f%d is closest(%2.2g) to thresholds\n",
-           bestfacet->id, bestangle));
-        return numgood;
-      }
-    }else if (qh GOODclosest) { /* numgood > 0 */
-      qh GOODclosest->good= False;
-      qh GOODclosest= NULL;
-    }
-  }
-  zadd_(Zgoodfacet, numgood);
-  trace2((qh ferr, 2045, "qh_findgood: found %d good facets with %d good horizon\n",
-               numgood, goodhorizon));
-  if (!numgood && qh GOODvertex>0 && !qh MERGING)
-    return goodhorizon;
-  return numgood;
-} /* findgood */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="findgood_all">-</a>
-
-  qh_findgood_all( facetlist )
-    apply other constraints for good facets (used by qh.PRINTgood)
-    if qh.GOODvertex
-      facet includes (>0) or doesn't include (<0) point as vertex
-      if last good facet and ONLYgood, prints warning and continues
-    if qh.SPLITthresholds
-      facet->normal matches threshold, or if none, the closest one
-    calls qh_findgood
-    nop if good not used
-
-  returns:
-    clears facet->good if not good
-    sets qh.num_good
-
-  notes:
-    this is like qh_findgood but more restrictive
-
-  design:
-    uses qh_findgood to mark good facets
-    marks facets for qh.GOODvertex
-    marks facets for qh.SPLITthreholds
-*/
-void qh_findgood_all(facetT *facetlist) {
-  facetT *facet, *bestfacet=NULL;
-  realT angle, bestangle= REALmax;
-  int  numgood=0, startgood;
-
-  if (!qh GOODvertex && !qh GOODthreshold && !qh GOODpoint
-  && !qh SPLITthresholds)
-    return;
-  if (!qh ONLYgood)
-    qh_findgood(qh facet_list, 0);
-  FORALLfacet_(facetlist) {
-    if (facet->good)
-      numgood++;
-  }
-  if (qh GOODvertex <0 || (qh GOODvertex > 0 && qh MERGING)) {
-    FORALLfacet_(facetlist) {
-      if (facet->good && ((qh GOODvertex > 0) ^ !!qh_isvertex(qh GOODvertexp, facet->vertices))) {
-        if (!--numgood) {
-          if (qh ONLYgood) {
-            qh_fprintf(qh ferr, 7064, "qhull warning: good vertex p%d does not match last good facet f%d.  Ignored.\n",
-               qh_pointid(qh GOODvertexp), facet->id);
-            return;
-          }else if (qh GOODvertex > 0)
-            qh_fprintf(qh ferr, 7065, "qhull warning: point p%d is not a vertex('QV%d').\n",
-                qh GOODvertex-1, qh GOODvertex-1);
-          else
-            qh_fprintf(qh ferr, 7066, "qhull warning: point p%d is a vertex for every facet('QV-%d').\n",
-                -qh GOODvertex - 1, -qh GOODvertex - 1);
-        }
-        facet->good= False;
-      }
-    }
-  }
-  startgood= numgood;
-  if (qh SPLITthresholds) {
-    FORALLfacet_(facetlist) {
-      if (facet->good) {
-        if (!qh_inthresholds(facet->normal, &angle)) {
-          facet->good= False;
-          numgood--;
-          if (angle < bestangle) {
-            bestangle= angle;
-            bestfacet= facet;
-          }
-        }
-      }
-    }
-    if (!numgood && bestfacet) {
-      bestfacet->good= True;
-      numgood++;
-      trace0((qh ferr, 23, "qh_findgood_all: f%d is closest(%2.2g) to thresholds\n",
-           bestfacet->id, bestangle));
-      return;
-    }
-  }
-  qh num_good= numgood;
-  trace0((qh ferr, 24, "qh_findgood_all: %d good facets remain out of %d facets\n",
-        numgood, startgood));
-} /* findgood_all */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="furthestnext">-</a>
-
-  qh_furthestnext()
-    set qh.facet_next to facet with furthest of all furthest points
-    searches all facets on qh.facet_list
-
-  notes:
-    this may help avoid precision problems
-*/
-void qh_furthestnext(void /* qh facet_list */) {
-  facetT *facet, *bestfacet= NULL;
-  realT dist, bestdist= -REALmax;
-
-  FORALLfacets {
-    if (facet->outsideset) {
-#if qh_COMPUTEfurthest
-      pointT *furthest;
-      furthest= (pointT*)qh_setlast(facet->outsideset);
-      zinc_(Zcomputefurthest);
-      qh_distplane(furthest, facet, &dist);
-#else
-      dist= facet->furthestdist;
-#endif
-      if (dist > bestdist) {
-        bestfacet= facet;
-        bestdist= dist;
-      }
-    }
-  }
-  if (bestfacet) {
-    qh_removefacet(bestfacet);
-    qh_prependfacet(bestfacet, &qh facet_next);
-    trace1((qh ferr, 1029, "qh_furthestnext: made f%d next facet(dist %.2g)\n",
-            bestfacet->id, bestdist));
-  }
-} /* furthestnext */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="furthestout">-</a>
-
-  qh_furthestout( facet )
-    make furthest outside point the last point of outsideset
-
-  returns:
-    updates facet->outsideset
-    clears facet->notfurthest
-    sets facet->furthestdist
-
-  design:
-    determine best point of outsideset
-    make it the last point of outsideset
-*/
-void qh_furthestout(facetT *facet) {
-  pointT *point, **pointp, *bestpoint= NULL;
-  realT dist, bestdist= -REALmax;
-
-  FOREACHpoint_(facet->outsideset) {
-    qh_distplane(point, facet, &dist);
-    zinc_(Zcomputefurthest);
-    if (dist > bestdist) {
-      bestpoint= point;
-      bestdist= dist;
-    }
-  }
-  if (bestpoint) {
-    qh_setdel(facet->outsideset, point);
-    qh_setappend(&facet->outsideset, point);
-#if !qh_COMPUTEfurthest
-    facet->furthestdist= bestdist;
-#endif
-  }
-  facet->notfurthest= False;
-  trace3((qh ferr, 3017, "qh_furthestout: p%d is furthest outside point of f%d\n",
-          qh_pointid(point), facet->id));
-} /* furthestout */
-
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="infiniteloop">-</a>
-
-  qh_infiniteloop( facet )
-    report infinite loop error due to facet
-*/
-void qh_infiniteloop(facetT *facet) {
-
-  qh_fprintf(qh ferr, 6149, "qhull internal error (qh_infiniteloop): potential infinite loop detected\n");
-  qh_errexit(qh_ERRqhull, facet, NULL);
-} /* qh_infiniteloop */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="initbuild">-</a>
-
-  qh_initbuild()
-    initialize hull and outside sets with point array
-    qh.FIRSTpoint/qh.NUMpoints is point array
-    if qh.GOODpoint
-      adds qh.GOODpoint to initial hull
-
-  returns:
-    qh_facetlist with initial hull
-    points partioned into outside sets, coplanar sets, or inside
-    initializes qh.GOODpointp, qh.GOODvertexp,
-
-  design:
-    initialize global variables used during qh_buildhull
-    determine precision constants and points with max/min coordinate values
-      if qh.SCALElast, scale last coordinate(for 'd')
-    build initial simplex
-    partition input points into facets of initial simplex
-    set up lists
-    if qh.ONLYgood
-      check consistency
-      add qh.GOODvertex if defined
-*/
-void qh_initbuild( void) {
-  setT *maxpoints, *vertices;
-  facetT *facet;
-  int i, numpart;
-  realT dist;
-  boolT isoutside;
-
-  qh furthest_id= -1;
-  qh lastreport= 0;
-  qh facet_id= qh vertex_id= qh ridge_id= 0;
-  qh visit_id= qh vertex_visit= 0;
-  qh maxoutdone= False;
-
-  if (qh GOODpoint > 0)
-    qh GOODpointp= qh_point(qh GOODpoint-1);
-  else if (qh GOODpoint < 0)
-    qh GOODpointp= qh_point(-qh GOODpoint-1);
-  if (qh GOODvertex > 0)
-    qh GOODvertexp= qh_point(qh GOODvertex-1);
-  else if (qh GOODvertex < 0)
-    qh GOODvertexp= qh_point(-qh GOODvertex-1);
-  if ((qh GOODpoint
-       && (qh GOODpointp < qh first_point  /* also catches !GOODpointp */
-           || qh GOODpointp > qh_point(qh num_points-1)))
-    || (qh GOODvertex
-        && (qh GOODvertexp < qh first_point  /* also catches !GOODvertexp */
-            || qh GOODvertexp > qh_point(qh num_points-1)))) {
-    qh_fprintf(qh ferr, 6150, "qhull input error: either QGn or QVn point is > p%d\n",
-             qh num_points-1);
-    qh_errexit(qh_ERRinput, NULL, NULL);
-  }
-  maxpoints= qh_maxmin(qh first_point, qh num_points, qh hull_dim);
-  if (qh SCALElast)
-    qh_scalelast(qh first_point, qh num_points, qh hull_dim,
-               qh MINlastcoord, qh MAXlastcoord, qh MAXwidth);
-  qh_detroundoff();
-  if (qh DELAUNAY && qh upper_threshold[qh hull_dim-1] > REALmax/2
-                  && qh lower_threshold[qh hull_dim-1] < -REALmax/2) {
-    for (i=qh_PRINTEND; i--; ) {
-      if (qh PRINTout[i] == qh_PRINTgeom && qh DROPdim < 0
-          && !qh GOODthreshold && !qh SPLITthresholds)
-        break;  /* in this case, don't set upper_threshold */
-    }
-    if (i < 0) {
-      if (qh UPPERdelaunay) { /* matches qh.upperdelaunay in qh_setfacetplane */
-        qh lower_threshold[qh hull_dim-1]= qh ANGLEround * qh_ZEROdelaunay;
-        qh GOODthreshold= True;
-      }else {
-        qh upper_threshold[qh hull_dim-1]= -qh ANGLEround * qh_ZEROdelaunay;
-        if (!qh GOODthreshold)
-          qh SPLITthresholds= True; /* build upper-convex hull even if Qg */
-          /* qh_initqhull_globals errors if Qg without Pdk/etc. */
-      }
-    }
-  }
-  vertices= qh_initialvertices(qh hull_dim, maxpoints, qh first_point, qh num_points);
-  qh_initialhull(vertices);  /* initial qh facet_list */
-  qh_partitionall(vertices, qh first_point, qh num_points);
-  if (qh PRINToptions1st || qh TRACElevel || qh IStracing) {
-    if (qh TRACElevel || qh IStracing)
-      qh_fprintf(qh ferr, 8103, "\nTrace level %d for %s | %s\n",
-         qh IStracing ? qh IStracing : qh TRACElevel, qh rbox_command, qh qhull_command);
-    qh_fprintf(qh ferr, 8104, "Options selected for Qhull %s:\n%s\n", qh_version, qh qhull_options);
-  }
-  qh_resetlists(False, qh_RESETvisible /*qh visible_list newvertex_list newfacet_list */);
-  qh facet_next= qh facet_list;
-  qh_furthestnext(/* qh facet_list */);
-  if (qh PREmerge) {
-    qh cos_max= qh premerge_cos;
-    qh centrum_radius= qh premerge_centrum;
-  }
-  if (qh ONLYgood) {
-    if (qh GOODvertex > 0 && qh MERGING) {
-      qh_fprintf(qh ferr, 6151, "qhull input error: 'Qg QVn' (only good vertex) does not work with merging.\nUse 'QJ' to joggle the input or 'Q0' to turn off merging.\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    if (!(qh GOODthreshold || qh GOODpoint
-         || (!qh MERGEexact && !qh PREmerge && qh GOODvertexp))) {
-      qh_fprintf(qh ferr, 6152, "qhull input error: 'Qg' (ONLYgood) needs a good threshold('Pd0D0'), a\n\
-good point(QGn or QG-n), or a good vertex with 'QJ' or 'Q0' (QVn).\n");
-      qh_errexit(qh_ERRinput, NULL, NULL);
-    }
-    if (qh GOODvertex > 0  && !qh MERGING  /* matches qh_partitionall */
-        && !qh_isvertex(qh GOODvertexp, vertices)) {
-      facet= qh_findbestnew(qh GOODvertexp, qh facet_list,
-                          &dist, !qh_ALL, &isoutside, &numpart);
-      zadd_(Zdistgood, numpart);
-      if (!isoutside) {
-        qh_fprintf(qh ferr, 6153, "qhull input error: point for QV%d is inside initial simplex.  It can not be made a vertex.\n",
-               qh_pointid(qh GOODvertexp));
-        qh_errexit(qh_ERRinput, NULL, NULL);
-      }
-      if (!qh_addpoint(qh GOODvertexp, facet, False)) {
-        qh_settempfree(&vertices);
-        qh_settempfree(&maxpoints);
-        return;
-      }
-    }
-    qh_findgood(qh facet_list, 0);
-  }
-  qh_settempfree(&vertices);
-  qh_settempfree(&maxpoints);
-  trace1((qh ferr, 1030, "qh_initbuild: initial hull created and points partitioned\n"));
-} /* initbuild */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="initialhull">-</a>
-
-  qh_initialhull( vertices )
-    constructs the initial hull as a DIM3 simplex of vertices
-
-  design:
-    creates a simplex (initializes lists)
-    determines orientation of simplex
-    sets hyperplanes for facets
-    doubles checks orientation (in case of axis-parallel facets with Gaussian elimination)
-    checks for flipped facets and qh.NARROWhull
-    checks the result
-*/
-void qh_initialhull(setT *vertices) {
-  facetT *facet, *firstfacet, *neighbor, **neighborp;
-  realT dist, angle, minangle= REALmax;
-#ifndef qh_NOtrace
-  int k;
-#endif
-
-  qh_createsimplex(vertices);  /* qh facet_list */
-  qh_resetlists(False, qh_RESETvisible);
-  qh facet_next= qh facet_list;      /* advance facet when processed */
-  qh interior_point= qh_getcenter(vertices);
-  firstfacet= qh facet_list;
-  qh_setfacetplane(firstfacet);
-  zinc_(Znumvisibility); /* needs to be in printsummary */
-  qh_distplane(qh interior_point, firstfacet, &dist);
-  if (dist > 0) {
-    FORALLfacets
-      facet->toporient ^= (unsigned char)True;
-  }
-  FORALLfacets
-    qh_setfacetplane(facet);
-  FORALLfacets {
-    if (!qh_checkflipped(facet, NULL, qh_ALL)) {/* due to axis-parallel facet */
-      trace1((qh ferr, 1031, "qh_initialhull: initial orientation incorrect.  Correct all facets\n"));
-      facet->flipped= False;
-      FORALLfacets {
-        facet->toporient ^= (unsigned char)True;
-        qh_orientoutside(facet);
-      }
-      break;
-    }
-  }
-  FORALLfacets {
-    if (!qh_checkflipped(facet, NULL, !qh_ALL)) {  /* can happen with 'R0.1' */
-      if (qh DELAUNAY && ! qh ATinfinity) {
-        if (qh UPPERdelaunay)
-          qh_fprintf(qh ferr, 6240, "Qhull input error: Can not compute the upper Delaunay triangulation or upper Voronoi diagram of cocircular/cospherical points.\n");
-        else
-          qh_fprintf(qh ferr, 6239, "Qhull input error: Use option 'Qz' for the Delaunay triangulation or Voronoi diagram of cocircular/cospherical points.  Option 'Qz' adds a point \"at infinity\" (above the corresponding paraboloid).\n");
-        qh_errexit(qh_ERRinput, NULL, NULL);
-      }
-      qh_precision("initial facet is coplanar with interior point");
-      qh_fprintf(qh ferr, 6154, "qhull precision error: initial facet %d is coplanar with the interior point\n",
-                   facet->id);
-      qh_errexit(qh_ERRsingular, facet, NULL);
-    }
-    FOREACHneighbor_(facet) {
-      angle= qh_getangle(facet->normal, neighbor->normal);
-      minimize_( minangle, angle);
-    }
-  }
-  if (minangle < qh_MAXnarrow && !qh NOnarrow) {
-    realT diff= 1.0 + minangle;
-
-    qh NARROWhull= True;
-    qh_option("_narrow-hull", NULL, &diff);
-    if (minangle < qh_WARNnarrow && !qh RERUN && qh PRINTprecision)
-      qh_printhelp_narrowhull(qh ferr, minangle);
-  }
-  zzval_(Zprocessed)= qh hull_dim+1;
-  qh_checkpolygon(qh facet_list);
-  qh_checkconvex(qh facet_list,   qh_DATAfault);
-#ifndef qh_NOtrace
-  if (qh IStracing >= 1) {
-    qh_fprintf(qh ferr, 8105, "qh_initialhull: simplex constructed, interior point:");
-    for (k=0; k < qh hull_dim; k++)
-      qh_fprintf(qh ferr, 8106, " %6.4g", qh interior_point[k]);
-    qh_fprintf(qh ferr, 8107, "\n");
-  }
-#endif
-} /* initialhull */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="initialvertices">-</a>
-
-  qh_initialvertices( dim, maxpoints, points, numpoints )
-    determines a non-singular set of initial vertices
-    maxpoints may include duplicate points
-
-  returns:
-    temporary set of dim+1 vertices in descending order by vertex id
-    if qh.RANDOMoutside && !qh.ALLpoints
-      picks random points
-    if dim >= qh_INITIALmax,
-      uses min/max x and max points with non-zero determinants
-
-  notes:
-    unless qh.ALLpoints,
-      uses maxpoints as long as determinate is non-zero
-*/
-setT *qh_initialvertices(int dim, setT *maxpoints, pointT *points, int numpoints) {
-  pointT *point, **pointp;
-  setT *vertices, *simplex, *tested;
-  realT randr;
-  int idx, point_i, point_n, k;
-  boolT nearzero= False;
-
-  vertices= qh_settemp(dim + 1);
-  simplex= qh_settemp(dim+1);
-  if (qh ALLpoints)
-    qh_maxsimplex(dim, NULL, points, numpoints, &simplex);
-  else if (qh RANDOMoutside) {
-    while (qh_setsize(simplex) != dim+1) {
-      randr= qh_RANDOMint;
-      randr= randr/(qh_RANDOMmax+1);
-      idx= (int)floor(qh num_points * randr);
-      while (qh_setin(simplex, qh_point(idx))) {
-            idx++; /* in case qh_RANDOMint always returns the same value */
-        idx= idx < qh num_points ? idx : 0;
-      }
-      qh_setappend(&simplex, qh_point(idx));
-    }
-  }else if (qh hull_dim >= qh_INITIALmax) {
-    tested= qh_settemp(dim+1);
-    qh_setappend(&simplex, SETfirst_(maxpoints));   /* max and min X coord */
-    qh_setappend(&simplex, SETsecond_(maxpoints));
-    qh_maxsimplex(fmin_(qh_INITIALsearch, dim), maxpoints, points, numpoints, &simplex);
-    k= qh_setsize(simplex);
-    FOREACHpoint_i_(maxpoints) {
-      if (point_i & 0x1) {     /* first pick up max. coord. points */
-        if (!qh_setin(simplex, point) && !qh_setin(tested, point)){
-          qh_detsimplex(point, simplex, k, &nearzero);
-          if (nearzero)
-            qh_setappend(&tested, point);
-          else {
-            qh_setappend(&simplex, point);
-            if (++k == dim)  /* use search for last point */
-              break;
-          }
-        }
-      }
-    }
-    while (k != dim && (point= (pointT*)qh_setdellast(maxpoints))) {
-      if (!qh_setin(simplex, point) && !qh_setin(tested, point)){
-        qh_detsimplex(point, simplex, k, &nearzero);
-        if (nearzero)
-          qh_setappend(&tested, point);
-        else {
-          qh_setappend(&simplex, point);
-          k++;
-        }
-      }
-    }
-    idx= 0;
-    while (k != dim && (point= qh_point(idx++))) {
-      if (!qh_setin(simplex, point) && !qh_setin(tested, point)){
-        qh_detsimplex(point, simplex, k, &nearzero);
-        if (!nearzero){
-          qh_setappend(&simplex, point);
-          k++;
-        }
-      }
-    }
-    qh_settempfree(&tested);
-    qh_maxsimplex(dim, maxpoints, points, numpoints, &simplex);
-  }else
-    qh_maxsimplex(dim, maxpoints, points, numpoints, &simplex);
-  FOREACHpoint_(simplex)
-    qh_setaddnth(&vertices, 0, qh_newvertex(point)); /* descending order */
-  qh_settempfree(&simplex);
-  return vertices;
-} /* initialvertices */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="isvertex">-</a>
-
-  qh_isvertex(  )
-    returns vertex if point is in vertex set, else returns NULL
-
-  notes:
-    for qh.GOODvertex
-*/
-vertexT *qh_isvertex(pointT *point, setT *vertices) {
-  vertexT *vertex, **vertexp;
-
-  FOREACHvertex_(vertices) {
-    if (vertex->point == point)
-      return vertex;
-  }
-  return NULL;
-} /* isvertex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="makenewfacets">-</a>
-
-  qh_makenewfacets( point )
-    make new facets from point and qh.visible_list
-
-  returns:
-    qh.newfacet_list= list of new facets with hyperplanes and ->newfacet
-    qh.newvertex_list= list of vertices in new facets with ->newlist set
-
-    if (qh.ONLYgood)
-      newfacets reference horizon facets, but not vice versa
-      ridges reference non-simplicial horizon ridges, but not vice versa
-      does not change existing facets
-    else
-      sets qh.NEWfacets
-      new facets attached to horizon facets and ridges
-      for visible facets,
-        visible->r.replace is corresponding new facet
-
-  see also:
-    qh_makenewplanes() -- make hyperplanes for facets
-    qh_attachnewfacets() -- attachnewfacets if not done here(qh ONLYgood)
-    qh_matchnewfacets() -- match up neighbors
-    qh_updatevertices() -- update vertex neighbors and delvertices
-    qh_deletevisible() -- delete visible facets
-    qh_checkpolygon() --check the result
-    qh_triangulate() -- triangulate a non-simplicial facet
-
-  design:
-    for each visible facet
-      make new facets to its horizon facets
-      update its f.replace
-      clear its neighbor set
-*/
-vertexT *qh_makenewfacets(pointT *point /*visible_list*/) {
-  facetT *visible, *newfacet= NULL, *newfacet2= NULL, *neighbor, **neighborp;
-  vertexT *apex;
-  int numnew=0;
-
-  qh newfacet_list= qh facet_tail;
-  qh newvertex_list= qh vertex_tail;
-  apex= qh_newvertex(point);
-  qh_appendvertex(apex);
-  qh visit_id++;
-  if (!qh ONLYgood)
-    qh NEWfacets= True;
-  FORALLvisible_facets {
-    FOREACHneighbor_(visible)
-      neighbor->seen= False;
-    if (visible->ridges) {
-      visible->visitid= qh visit_id;
-      newfacet2= qh_makenew_nonsimplicial(visible, apex, &numnew);
-    }
-    if (visible->simplicial)
-      newfacet= qh_makenew_simplicial(visible, apex, &numnew);
-    if (!qh ONLYgood) {
-      if (newfacet2)  /* newfacet is null if all ridges defined */
-        newfacet= newfacet2;
-      if (newfacet)
-        visible->f.replace= newfacet;
-      else
-        zinc_(Zinsidevisible);
-      SETfirst_(visible->neighbors)= NULL;
-    }
-  }
-  trace1((qh ferr, 1032, "qh_makenewfacets: created %d new facets from point p%d to horizon\n",
-          numnew, qh_pointid(point)));
-  if (qh IStracing >= 4)
-    qh_printfacetlist(qh newfacet_list, NULL, qh_ALL);
-  return apex;
-} /* makenewfacets */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="matchduplicates">-</a>
-
-  qh_matchduplicates( atfacet, atskip, hashsize, hashcount )
-    match duplicate ridges in qh.hash_table for atfacet/atskip
-    duplicates marked with ->dupridge and qh_DUPLICATEridge
-
-  returns:
-    picks match with worst merge (min distance apart)
-    updates hashcount
-
-  see also:
-    qh_matchneighbor
-
-  notes:
-
-  design:
-    compute hash value for atfacet and atskip
-    repeat twice -- once to make best matches, once to match the rest
-      for each possible facet in qh.hash_table
-        if it is a matching facet and pass 2
-          make match
-          unless tricoplanar, mark match for merging (qh_MERGEridge)
-          [e.g., tricoplanar RBOX s 1000 t993602376 | QHULL C-1e-3 d Qbb FA Qt]
-        if it is a matching facet and pass 1
-          test if this is a better match
-      if pass 1,
-        make best match (it will not be merged)
-*/
-#ifndef qh_NOmerge
-void qh_matchduplicates(facetT *atfacet, int atskip, int hashsize, int *hashcount) {
-  boolT same, ismatch;
-  int hash, scan;
-  facetT *facet, *newfacet, *maxmatch= NULL, *maxmatch2= NULL, *nextfacet;
-  int skip, newskip, nextskip= 0, maxskip= 0, maxskip2= 0, makematch;
-  realT maxdist= -REALmax, mindist, dist2, low, high;
-
-  hash= qh_gethash(hashsize, atfacet->vertices, qh hull_dim, 1,
-                     SETelem_(atfacet->vertices, atskip));
-  trace2((qh ferr, 2046, "qh_matchduplicates: find duplicate matches for f%d skip %d hash %d hashcount %d\n",
-          atfacet->id, atskip, hash, *hashcount));
-  for (makematch= 0; makematch < 2; makematch++) {
-    qh visit_id++;
-    for (newfacet= atfacet, newskip= atskip; newfacet; newfacet= nextfacet, newskip= nextskip) {
-      zinc_(Zhashlookup);
-      nextfacet= NULL;
-      newfacet->visitid= qh visit_id;
-      for (scan= hash; (facet= SETelemt_(qh hash_table, scan, facetT));
-           scan= (++scan >= hashsize ? 0 : scan)) {
-        if (!facet->dupridge || facet->visitid == qh visit_id)
-          continue;
-        zinc_(Zhashtests);
-        if (qh_matchvertices(1, newfacet->vertices, newskip, facet->vertices, &skip, &same)) {
-          ismatch= (same == (boolT)(newfacet->toporient ^ facet->toporient));
-          if (SETelemt_(facet->neighbors, skip, facetT) != qh_DUPLICATEridge) {
-            if (!makematch) {
-              qh_fprintf(qh ferr, 6155, "qhull internal error (qh_matchduplicates): missing dupridge at f%d skip %d for new f%d skip %d hash %d\n",
-                     facet->id, skip, newfacet->id, newskip, hash);
-              qh_errexit2 (qh_ERRqhull, facet, newfacet);
-            }
-          }else if (ismatch && makematch) {
-            if (SETelemt_(newfacet->neighbors, newskip, facetT) == qh_DUPLICATEridge) {
-              SETelem_(facet->neighbors, skip)= newfacet;
-              if (newfacet->tricoplanar)
-                SETelem_(newfacet->neighbors, newskip)= facet;
-              else
-                SETelem_(newfacet->neighbors, newskip)= qh_MERGEridge;
-              *hashcount -= 2; /* removed two unmatched facets */
-              trace4((qh ferr, 4059, "qh_matchduplicates: duplicate f%d skip %d matched with new f%d skip %d merge\n",
-                    facet->id, skip, newfacet->id, newskip));
-            }
-          }else if (ismatch) {
-            mindist= qh_getdistance(facet, newfacet, &low, &high);
-            dist2= qh_getdistance(newfacet, facet, &low, &high);
-            minimize_(mindist, dist2);
-            if (mindist > maxdist) {
-              maxdist= mindist;
-              maxmatch= facet;
-              maxskip= skip;
-              maxmatch2= newfacet;
-              maxskip2= newskip;
-            }
-            trace3((qh ferr, 3018, "qh_matchduplicates: duplicate f%d skip %d new f%d skip %d at dist %2.2g, max is now f%d f%d\n",
-                    facet->id, skip, newfacet->id, newskip, mindist,
-                    maxmatch->id, maxmatch2->id));
-          }else { /* !ismatch */
-            nextfacet= facet;
-            nextskip= skip;
-          }
-        }
-        if (makematch && !facet
-        && SETelemt_(facet->neighbors, skip, facetT) == qh_DUPLICATEridge) {
-          qh_fprintf(qh ferr, 6156, "qhull internal error (qh_matchduplicates): no MERGEridge match for duplicate f%d skip %d at hash %d\n",
-                     newfacet->id, newskip, hash);
-          qh_errexit(qh_ERRqhull, newfacet, NULL);
-        }
-      }
-    } /* end of for each new facet at hash */
-    if (!makematch) {
-      if (!maxmatch) {
-        qh_fprintf(qh ferr, 6157, "qhull internal error (qh_matchduplicates): no maximum match at duplicate f%d skip %d at hash %d\n",
-                     atfacet->id, atskip, hash);
-        qh_errexit(qh_ERRqhull, atfacet, NULL);
-      }
-      SETelem_(maxmatch->neighbors, maxskip)= maxmatch2;
-      SETelem_(maxmatch2->neighbors, maxskip2)= maxmatch;
-      *hashcount -= 2; /* removed two unmatched facets */
-      zzinc_(Zmultiridge);
-      trace0((qh ferr, 25, "qh_matchduplicates: duplicate f%d skip %d matched with new f%d skip %d keep\n",
-              maxmatch->id, maxskip, maxmatch2->id, maxskip2));
-      qh_precision("ridge with multiple neighbors");
-      if (qh IStracing >= 4)
-        qh_errprint("DUPLICATED/MATCH", maxmatch, maxmatch2, NULL, NULL);
-    }
-  }
-} /* matchduplicates */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="nearcoplanar">-</a>
-
-  qh_nearcoplanar()
-    for all facets, remove near-inside points from facet->coplanarset</li>
-    coplanar points defined by innerplane from qh_outerinner()
-
-  returns:
-    if qh KEEPcoplanar && !qh KEEPinside
-      facet->coplanarset only contains coplanar points
-    if qh.JOGGLEmax
-      drops inner plane by another qh.JOGGLEmax diagonal since a
-        vertex could shift out while a coplanar point shifts in
-
-  notes:
-    used for qh.PREmerge and qh.JOGGLEmax
-    must agree with computation of qh.NEARcoplanar in qh_detroundoff()
-  design:
-    if not keeping coplanar or inside points
-      free all coplanar sets
-    else if not keeping both coplanar and inside points
-      remove !coplanar or !inside points from coplanar sets
-*/
-void qh_nearcoplanar(void /* qh.facet_list */) {
-  facetT *facet;
-  pointT *point, **pointp;
-  int numpart;
-  realT dist, innerplane;
-
-  if (!qh KEEPcoplanar && !qh KEEPinside) {
-    FORALLfacets {
-      if (facet->coplanarset)
-        qh_setfree( &facet->coplanarset);
-    }
-  }else if (!qh KEEPcoplanar || !qh KEEPinside) {
-    qh_outerinner(NULL, NULL, &innerplane);
-    if (qh JOGGLEmax < REALmax/2)
-      innerplane -= qh JOGGLEmax * sqrt((realT)qh hull_dim);
-    numpart= 0;
-    FORALLfacets {
-      if (facet->coplanarset) {
-        FOREACHpoint_(facet->coplanarset) {
-          numpart++;
-          qh_distplane(point, facet, &dist);
-          if (dist < innerplane) {
-            if (!qh KEEPinside)
-              SETref_(point)= NULL;
-          }else if (!qh KEEPcoplanar)
-            SETref_(point)= NULL;
-        }
-        qh_setcompact(facet->coplanarset);
-      }
-    }
-    zzadd_(Zcheckpart, numpart);
-  }
-} /* nearcoplanar */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="nearvertex">-</a>
-
-  qh_nearvertex( facet, point, bestdist )
-    return nearest vertex in facet to point
-
-  returns:
-    vertex and its distance
-
-  notes:
-    if qh.DELAUNAY
-      distance is measured in the input set
-    searches neighboring tricoplanar facets (requires vertexneighbors)
-      Slow implementation.  Recomputes vertex set for each point.
-    The vertex set could be stored in the qh.keepcentrum facet.
-*/
-vertexT *qh_nearvertex(facetT *facet, pointT *point, realT *bestdistp) {
-  realT bestdist= REALmax, dist;
-  vertexT *bestvertex= NULL, *vertex, **vertexp, *apex;
-  coordT *center;
-  facetT *neighbor, **neighborp;
-  setT *vertices;
-  int dim= qh hull_dim;
-
-  if (qh DELAUNAY)
-    dim--;
-  if (facet->tricoplanar) {
-    if (!qh VERTEXneighbors || !facet->center) {
-      qh_fprintf(qh ferr, 6158, "qhull internal error (qh_nearvertex): qh.VERTEXneighbors and facet->center required for tricoplanar facets\n");
-      qh_errexit(qh_ERRqhull, facet, NULL);
-    }
-    vertices= qh_settemp(qh TEMPsize);
-    apex= SETfirstt_(facet->vertices, vertexT);
-    center= facet->center;
-    FOREACHneighbor_(apex) {
-      if (neighbor->center == center) {
-        FOREACHvertex_(neighbor->vertices)
-          qh_setappend(&vertices, vertex);
-      }
-    }
-  }else
-    vertices= facet->vertices;
-  FOREACHvertex_(vertices) {
-    dist= qh_pointdist(vertex->point, point, -dim);
-    if (dist < bestdist) {
-      bestdist= dist;
-      bestvertex= vertex;
-    }
-  }
-  if (facet->tricoplanar)
-    qh_settempfree(&vertices);
-  *bestdistp= sqrt(bestdist);
-  trace3((qh ferr, 3019, "qh_nearvertex: v%d dist %2.2g for f%d p%d\n",
-        bestvertex->id, *bestdistp, facet->id, qh_pointid(point)));
-  return bestvertex;
-} /* nearvertex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="newhashtable">-</a>
-
-  qh_newhashtable( newsize )
-    returns size of qh.hash_table of at least newsize slots
-
-  notes:
-    assumes qh.hash_table is NULL
-    qh_HASHfactor determines the number of extra slots
-    size is not divisible by 2, 3, or 5
-*/
-int qh_newhashtable(int newsize) {
-  int size;
-
-  size= ((newsize+1)*qh_HASHfactor) | 0x1;  /* odd number */
-  while (True) {
-    if (newsize<0 || size<0) {
-        qh_fprintf(qhmem.ferr, 6236, "qhull error (qh_newhashtable): negative request (%d) or size (%d).  Did int overflow due to high-D?\n", newsize, size); /* WARN64 */
-        qh_errexit(qhmem_ERRmem, NULL, NULL);
-    }
-    if ((size%3) && (size%5))
-      break;
-    size += 2;
-    /* loop terminates because there is an infinite number of primes */
-  }
-  qh hash_table= qh_setnew(size);
-  qh_setzero(qh hash_table, 0, size);
-  return size;
-} /* newhashtable */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="newvertex">-</a>
-
-  qh_newvertex( point )
-    returns a new vertex for point
-*/
-vertexT *qh_newvertex(pointT *point) {
-  vertexT *vertex;
-
-  zinc_(Ztotvertices);
-  vertex= (vertexT *)qh_memalloc((int)sizeof(vertexT));
-  memset((char *) vertex, (size_t)0, sizeof(vertexT));
-  if (qh vertex_id == 0xFFFFFF) {
-    qh_fprintf(qh ferr, 6159, "qhull error: more than %d vertices.  ID field overflows and two vertices\n\
-may have the same identifier.  Vertices will not be sorted correctly.\n", 0xFFFFFF);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }
-  if (qh vertex_id == qh tracevertex_id)
-    qh tracevertex= vertex;
-  vertex->id= qh vertex_id++;
-  vertex->point= point;
-  vertex->dim= (unsigned char)(qh hull_dim <= MAX_vdim ? qh hull_dim : 0);
-  trace4((qh ferr, 4060, "qh_newvertex: vertex p%d(v%d) created\n", qh_pointid(vertex->point),
-          vertex->id));
-  return(vertex);
-} /* newvertex */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="nextridge3d">-</a>
-
-  qh_nextridge3d( atridge, facet, vertex )
-    return next ridge and vertex for a 3d facet
-    returns NULL on error
-    [for QhullFacet::nextRidge3d] Does not call qh_errexit nor access qh_qh.
-
-  notes:
-    in qh_ORIENTclock order
-    this is a O(n^2) implementation to trace all ridges
-    be sure to stop on any 2nd visit
-    same as QhullRidge::nextRidge3d
-    does not use qh_qh or qh_errexit [QhullFacet.cpp]
-
-  design:
-    for each ridge
-      exit if it is the ridge after atridge
-*/
-ridgeT *qh_nextridge3d(ridgeT *atridge, facetT *facet, vertexT **vertexp) {
-  vertexT *atvertex, *vertex, *othervertex;
-  ridgeT *ridge, **ridgep;
-
-  if ((atridge->top == facet) ^ qh_ORIENTclock)
-    atvertex= SETsecondt_(atridge->vertices, vertexT);
-  else
-    atvertex= SETfirstt_(atridge->vertices, vertexT);
-  FOREACHridge_(facet->ridges) {
-    if (ridge == atridge)
-      continue;
-    if ((ridge->top == facet) ^ qh_ORIENTclock) {
-      othervertex= SETsecondt_(ridge->vertices, vertexT);
-      vertex= SETfirstt_(ridge->vertices, vertexT);
-    }else {
-      vertex= SETsecondt_(ridge->vertices, vertexT);
-      othervertex= SETfirstt_(ridge->vertices, vertexT);
-    }
-    if (vertex == atvertex) {
-      if (vertexp)
-        *vertexp= othervertex;
-      return ridge;
-    }
-  }
-  return NULL;
-} /* nextridge3d */
-#else /* qh_NOmerge */
-void qh_matchduplicates(facetT *atfacet, int atskip, int hashsize, int *hashcount) {
-}
-ridgeT *qh_nextridge3d(ridgeT *atridge, facetT *facet, vertexT **vertexp) {
-
-  return NULL;
-}
-#endif /* qh_NOmerge */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="outcoplanar">-</a>
-
-  qh_outcoplanar()
-    move points from all facets' outsidesets to their coplanarsets
-
-  notes:
-    for post-processing under qh.NARROWhull
-
-  design:
-    for each facet
-      for each outside point for facet
-        partition point into coplanar set
-*/
-void qh_outcoplanar(void /* facet_list */) {
-  pointT *point, **pointp;
-  facetT *facet;
-  realT dist;
-
-  trace1((qh ferr, 1033, "qh_outcoplanar: move outsideset to coplanarset for qh NARROWhull\n"));
-  FORALLfacets {
-    FOREACHpoint_(facet->outsideset) {
-      qh num_outside--;
-      if (qh KEEPcoplanar || qh KEEPnearinside) {
-        qh_distplane(point, facet, &dist);
-        zinc_(Zpartition);
-        qh_partitioncoplanar(point, facet, &dist);
-      }
-    }
-    qh_setfree(&facet->outsideset);
-  }
-} /* outcoplanar */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="point">-</a>
-
-  qh_point( id )
-    return point for a point id, or NULL if unknown
-
-  alternative code:
-    return((pointT *)((unsigned   long)qh.first_point
-           + (unsigned long)((id)*qh.normal_size)));
-*/
-pointT *qh_point(int id) {
-
-  if (id < 0)
-    return NULL;
-  if (id < qh num_points)
-    return qh first_point + id * qh hull_dim;
-  id -= qh num_points;
-  if (id < qh_setsize(qh other_points))
-    return SETelemt_(qh other_points, id, pointT);
-  return NULL;
-} /* point */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="point_add">-</a>
-
-  qh_point_add( set, point, elem )
-    stores elem at set[point.id]
-
-  returns:
-    access function for qh_pointfacet and qh_pointvertex
-
-  notes:
-    checks point.id
-*/
-void qh_point_add(setT *set, pointT *point, void *elem) {
-  int id, size;
-
-  SETreturnsize_(set, size);
-  if ((id= qh_pointid(point)) < 0)
-    qh_fprintf(qh ferr, 7067, "qhull internal warning (point_add): unknown point %p id %d\n",
-      point, id);
-  else if (id >= size) {
-    qh_fprintf(qh ferr, 6160, "qhull internal errror(point_add): point p%d is out of bounds(%d)\n",
-             id, size);
-    qh_errexit(qh_ERRqhull, NULL, NULL);
-  }else
-    SETelem_(set, id)= elem;
-} /* point_add */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="pointfacet">-</a>
-
-  qh_pointfacet()
-    return temporary set of facet for each point
-    the set is indexed by point id
-
-  notes:
-    vertices assigned to one of the facets
-    coplanarset assigned to the facet
-    outside set assigned to the facet
-    NULL if no facet for point (inside)
-      includes qh.GOODpointp
-
-  access:
-    FOREACHfacet_i_(facets) { ... }
-    SETelem_(facets, i)
-
-  design:
-    for each facet
-      add each vertex
-      add each coplanar point
-      add each outside point
-*/
-setT *qh_pointfacet(void /*qh facet_list*/) {
-  int numpoints= qh num_points + qh_setsize(qh other_points);
-  setT *facets;
-  facetT *facet;
-  vertexT *vertex, **vertexp;
-  pointT *point, **pointp;
-
-  facets= qh_settemp(numpoints);
-  qh_setzero(facets, 0, numpoints);
-  qh vertex_visit++;
-  FORALLfacets {
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->visitid != qh vertex_visit) {
-        vertex->visitid= qh vertex_visit;
-        qh_point_add(facets, vertex->point, facet);
-      }
-    }
-    FOREACHpoint_(facet->coplanarset)
-      qh_point_add(facets, point, facet);
-    FOREACHpoint_(facet->outsideset)
-      qh_point_add(facets, point, facet);
-  }
-  return facets;
-} /* pointfacet */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="pointvertex">-</a>
-
-  qh_pointvertex(  )
-    return temporary set of vertices indexed by point id
-    entry is NULL if no vertex for a point
-      this will include qh.GOODpointp
-
-  access:
-    FOREACHvertex_i_(vertices) { ... }
-    SETelem_(vertices, i)
-*/
-setT *qh_pointvertex(void /*qh facet_list*/) {
-  int numpoints= qh num_points + qh_setsize(qh other_points);
-  setT *vertices;
-  vertexT *vertex;
-
-  vertices= qh_settemp(numpoints);
-  qh_setzero(vertices, 0, numpoints);
-  FORALLvertices
-    qh_point_add(vertices, vertex->point, vertex);
-  return vertices;
-} /* pointvertex */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="prependfacet">-</a>
-
-  qh_prependfacet( facet, facetlist )
-    prepend facet to the start of a facetlist
-
-  returns:
-    increments qh.numfacets
-    updates facetlist, qh.facet_list, facet_next
-
-  notes:
-    be careful of prepending since it can lose a pointer.
-      e.g., can lose _next by deleting and then prepending before _next
-*/
-void qh_prependfacet(facetT *facet, facetT **facetlist) {
-  facetT *prevfacet, *list;
-
-
-  trace4((qh ferr, 4061, "qh_prependfacet: prepend f%d before f%d\n",
-          facet->id, getid_(*facetlist)));
-  if (!*facetlist)
-    (*facetlist)= qh facet_tail;
-  list= *facetlist;
-  prevfacet= list->previous;
-  facet->previous= prevfacet;
-  if (prevfacet)
-    prevfacet->next= facet;
-  list->previous= facet;
-  facet->next= *facetlist;
-  if (qh facet_list == list)  /* this may change *facetlist */
-    qh facet_list= facet;
-  if (qh facet_next == list)
-    qh facet_next= facet;
-  *facetlist= facet;
-  qh num_facets++;
-} /* prependfacet */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="printhashtable">-</a>
-
-  qh_printhashtable( fp )
-    print hash table to fp
-
-  notes:
-    not in I/O to avoid bringing io.c in
-
-  design:
-    for each hash entry
-      if defined
-        if unmatched or will merge (NULL, qh_MERGEridge, qh_DUPLICATEridge)
-          print entry and neighbors
-*/
-void qh_printhashtable(FILE *fp) {
-  facetT *facet, *neighbor;
-  int id, facet_i, facet_n, neighbor_i= 0, neighbor_n= 0;
-  vertexT *vertex, **vertexp;
-
-  FOREACHfacet_i_(qh hash_table) {
-    if (facet) {
-      FOREACHneighbor_i_(facet) {
-        if (!neighbor || neighbor == qh_MERGEridge || neighbor == qh_DUPLICATEridge)
-          break;
-      }
-      if (neighbor_i == neighbor_n)
-        continue;
-      qh_fprintf(fp, 9283, "hash %d f%d ", facet_i, facet->id);
-      FOREACHvertex_(facet->vertices)
-        qh_fprintf(fp, 9284, "v%d ", vertex->id);
-      qh_fprintf(fp, 9285, "\n neighbors:");
-      FOREACHneighbor_i_(facet) {
-        if (neighbor == qh_MERGEridge)
-          id= -3;
-        else if (neighbor == qh_DUPLICATEridge)
-          id= -2;
-        else
-          id= getid_(neighbor);
-        qh_fprintf(fp, 9286, " %d", id);
-      }
-      qh_fprintf(fp, 9287, "\n");
-    }
-  }
-} /* printhashtable */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="printlists">-</a>
-
-  qh_printlists( fp )
-    print out facet and vertex list for debugging (without 'f/v' tags)
-*/
-void qh_printlists(void) {
-  facetT *facet;
-  vertexT *vertex;
-  int count= 0;
-
-  qh_fprintf(qh ferr, 8108, "qh_printlists: facets:");
-  FORALLfacets {
-    if (++count % 100 == 0)
-      qh_fprintf(qh ferr, 8109, "\n     ");
-    qh_fprintf(qh ferr, 8110, " %d", facet->id);
-  }
-  qh_fprintf(qh ferr, 8111, "\n  new facets %d visible facets %d next facet for qh_addpoint %d\n  vertices(new %d):",
-     getid_(qh newfacet_list), getid_(qh visible_list), getid_(qh facet_next),
-     getid_(qh newvertex_list));
-  count = 0;
-  FORALLvertices {
-    if (++count % 100 == 0)
-      qh_fprintf(qh ferr, 8112, "\n     ");
-    qh_fprintf(qh ferr, 8113, " %d", vertex->id);
-  }
-  qh_fprintf(qh ferr, 8114, "\n");
-} /* printlists */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="resetlists">-</a>
-
-  qh_resetlists( stats, qh_RESETvisible )
-    reset newvertex_list, newfacet_list, visible_list
-    if stats,
-      maintains statistics
-
-  returns:
-    visible_list is empty if qh_deletevisible was called
-*/
-void qh_resetlists(boolT stats, boolT resetVisible /*qh newvertex_list newfacet_list visible_list*/) {
-  vertexT *vertex;
-  facetT *newfacet, *visible;
-  int totnew=0, totver=0;
-
-  if (stats) {
-    FORALLvertex_(qh newvertex_list)
-      totver++;
-    FORALLnew_facets
-      totnew++;
-    zadd_(Zvisvertextot, totver);
-    zmax_(Zvisvertexmax, totver);
-    zadd_(Znewfacettot, totnew);
-    zmax_(Znewfacetmax, totnew);
-  }
-  FORALLvertex_(qh newvertex_list)
-    vertex->newlist= False;
-  qh newvertex_list= NULL;
-  FORALLnew_facets
-    newfacet->newfacet= False;
-  qh newfacet_list= NULL;
-  if (resetVisible) {
-    FORALLvisible_facets {
-      visible->f.replace= NULL;
-      visible->visible= False;
-    }
-    qh num_visible= 0;
-  }
-  qh visible_list= NULL; /* may still have visible facets via qh_triangulate */
-  qh NEWfacets= False;
-} /* resetlists */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="setvoronoi_all">-</a>
-
-  qh_setvoronoi_all()
-    compute Voronoi centers for all facets
-    includes upperDelaunay facets if qh.UPPERdelaunay ('Qu')
-
-  returns:
-    facet->center is the Voronoi center
-
-  notes:
-    this is unused/untested code
-      please email bradb@shore.net if this works ok for you
-
-  use:
-    FORALLvertices {...} to locate the vertex for a point.
-    FOREACHneighbor_(vertex) {...} to visit the Voronoi centers for a Voronoi cell.
-*/
-void qh_setvoronoi_all(void) {
-  facetT *facet;
-
-  qh_clearcenters(qh_ASvoronoi);
-  qh_vertexneighbors();
-
-  FORALLfacets {
-    if (!facet->normal || !facet->upperdelaunay || qh UPPERdelaunay) {
-      if (!facet->center)
-        facet->center= qh_facetcenter(facet->vertices);
-    }
-  }
-} /* setvoronoi_all */
-
-#ifndef qh_NOmerge
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="triangulate">-</a>
-
-  qh_triangulate()
-    triangulate non-simplicial facets on qh.facet_list,
-    if qh VORONOI, sets Voronoi centers of non-simplicial facets
-    nop if hasTriangulation
-
-  returns:
-    all facets simplicial
-    each tricoplanar facet has ->f.triowner == owner of ->center,normal,etc.
-
-  notes:
-    call after qh_check_output since may switch to Voronoi centers
-    Output may overwrite ->f.triowner with ->f.area
-*/
-void qh_triangulate(void /*qh facet_list*/) {
-  facetT *facet, *nextfacet, *owner;
-  int onlygood= qh ONLYgood;
-  facetT *neighbor, *visible= NULL, *facet1, *facet2, *new_facet_list= NULL;
-  facetT *orig_neighbor= NULL, *otherfacet;
-  vertexT *new_vertex_list= NULL;
-  mergeT *merge;
-  mergeType mergetype;
-  int neighbor_i, neighbor_n;
-
-  if (qh hasTriangulation)
-      return;
-  trace1((qh ferr, 1034, "qh_triangulate: triangulate non-simplicial facets\n"));
-  if (qh hull_dim == 2)
-    return;
-  if (qh VORONOI) {  /* otherwise lose Voronoi centers [could rebuild vertex set from tricoplanar] */
-    qh_clearcenters(qh_ASvoronoi);
-    qh_vertexneighbors();
-  }
-  qh ONLYgood= False; /* for makenew_nonsimplicial */
-  qh visit_id++;
-  qh NEWfacets= True;
-  qh degen_mergeset= qh_settemp(qh TEMPsize);
-  qh newvertex_list= qh vertex_tail;
-  for (facet= qh facet_list; facet && facet->next; facet= nextfacet) { /* non-simplicial facets moved to end */
-    nextfacet= facet->next;
-    if (facet->visible || facet->simplicial)
-      continue;
-    /* triangulate all non-simplicial facets, otherwise merging does not work, e.g., RBOX c P-0.1 P+0.1 P+0.1 D3 | QHULL d Qt Tv */
-    if (!new_facet_list)
-      new_facet_list= facet;  /* will be moved to end */
-    qh_triangulate_facet(facet, &new_vertex_list);
-  }
-  trace2((qh ferr, 2047, "qh_triangulate: delete null facets from f%d -- apex same as second vertex\n", getid_(new_facet_list)));
-  for (facet= new_facet_list; facet && facet->next; facet= nextfacet) { /* null facets moved to end */
-    nextfacet= facet->next;
-    if (facet->visible)
-      continue;
-    if (facet->ridges) {
-      if (qh_setsize(facet->ridges) > 0) {
-        qh_fprintf(qh ferr, 6161, "qhull error (qh_triangulate): ridges still defined for f%d\n", facet->id);
-        qh_errexit(qh_ERRqhull, facet, NULL);
-      }
-      qh_setfree(&facet->ridges);
-    }
-    if (SETfirst_(facet->vertices) == SETsecond_(facet->vertices)) {
-      zinc_(Ztrinull);
-      qh_triangulate_null(facet);
-    }
-  }
-  trace2((qh ferr, 2048, "qh_triangulate: delete %d or more mirror facets -- same vertices and neighbors\n", qh_setsize(qh degen_mergeset)));
-  qh visible_list= qh facet_tail;
-  while ((merge= (mergeT*)qh_setdellast(qh degen_mergeset))) {
-    facet1= merge->facet1;
-    facet2= merge->facet2;
-    mergetype= merge->type;
-    qh_memfree(merge, (int)sizeof(mergeT));
-    if (mergetype == MRGmirror) {
-      zinc_(Ztrimirror);
-      qh_triangulate_mirror(facet1, facet2);
-    }
-  }
-  qh_settempfree(&qh degen_mergeset);
-  trace2((qh ferr, 2049, "qh_triangulate: update neighbor lists for vertices from v%d\n", getid_(new_vertex_list)));
-  qh newvertex_list= new_vertex_list;  /* all vertices of new facets */
-  qh visible_list= NULL;
-  qh_updatevertices(/*qh newvertex_list, empty newfacet_list and visible_list*/);
-  qh_resetlists(False, !qh_RESETvisible /*qh newvertex_list, empty newfacet_list and visible_list*/);
-
-  trace2((qh ferr, 2050, "qh_triangulate: identify degenerate tricoplanar facets from f%d\n", getid_(new_facet_list)));
-  trace2((qh ferr, 2051, "qh_triangulate: and replace facet->f.triowner with tricoplanar facets that own center, normal, etc.\n"));
-  FORALLfacet_(new_facet_list) {
-    if (facet->tricoplanar && !facet->visible) {
-      FOREACHneighbor_i_(facet) {
-        if (neighbor_i == 0) {  /* first iteration */
-          if (neighbor->tricoplanar)
-            orig_neighbor= neighbor->f.triowner;
-          else
-            orig_neighbor= neighbor;
-        }else {
-          if (neighbor->tricoplanar)
-            otherfacet= neighbor->f.triowner;
-          else
-            otherfacet= neighbor;
-          if (orig_neighbor == otherfacet) {
-            zinc_(Ztridegen);
-            facet->degenerate= True;
-            break;
-          }
-        }
-      }
-    }
-  }
-
-  trace2((qh ferr, 2052, "qh_triangulate: delete visible facets -- non-simplicial, null, and mirrored facets\n"));
-  owner= NULL;
-  visible= NULL;
-  for (facet= new_facet_list; facet && facet->next; facet= nextfacet) { /* may delete facet */
-    nextfacet= facet->next;
-    if (facet->visible) {
-      if (facet->tricoplanar) { /* a null or mirrored facet */
-        qh_delfacet(facet);
-        qh num_visible--;
-      }else {  /* a non-simplicial facet followed by its tricoplanars */
-        if (visible && !owner) {
-          /*  RBOX 200 s D5 t1001471447 | QHULL Qt C-0.01 Qx Qc Tv Qt -- f4483 had 6 vertices/neighbors and 8 ridges */
-          trace2((qh ferr, 2053, "qh_triangulate: all tricoplanar facets degenerate for non-simplicial facet f%d\n",
-                       visible->id));
-          qh_delfacet(visible);
-          qh num_visible--;
-        }
-        visible= facet;
-        owner= NULL;
-      }
-    }else if (facet->tricoplanar) {
-      if (facet->f.triowner != visible) {
-        qh_fprintf(qh ferr, 6162, "qhull error (qh_triangulate): tricoplanar facet f%d not owned by its visible, non-simplicial facet f%d\n", facet->id, getid_(visible));
-        qh_errexit2 (qh_ERRqhull, facet, visible);
-      }
-      if (owner)
-        facet->f.triowner= owner;
-      else if (!facet->degenerate) {
-        owner= facet;
-        nextfacet= visible->next; /* rescan tricoplanar facets with owner */
-        facet->keepcentrum= True;  /* one facet owns ->normal, etc. */
-        facet->coplanarset= visible->coplanarset;
-        facet->outsideset= visible->outsideset;
-        visible->coplanarset= NULL;
-        visible->outsideset= NULL;
-        if (!qh TRInormals) { /* center and normal copied to tricoplanar facets */
-          visible->center= NULL;
-          visible->normal= NULL;
-        }
-        qh_delfacet(visible);
-        qh num_visible--;
-      }
-    }
-  }
-  if (visible && !owner) {
-    trace2((qh ferr, 2054, "qh_triangulate: all tricoplanar facets degenerate for last non-simplicial facet f%d\n",
-                 visible->id));
-    qh_delfacet(visible);
-    qh num_visible--;
-  }
-  qh NEWfacets= False;
-  qh ONLYgood= onlygood; /* restore value */
-  if (qh CHECKfrequently)
-    qh_checkpolygon(qh facet_list);
-  qh hasTriangulation= True;
-} /* triangulate */
-
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="triangulate_facet">-</a>
-
-  qh_triangulate_facet(facetA)
-    triangulate a non-simplicial facet
-      if qh.CENTERtype=qh_ASvoronoi, sets its Voronoi center
-  returns:
-    qh.newfacet_list == simplicial facets
-      facet->tricoplanar set and ->keepcentrum false
-      facet->degenerate set if duplicated apex
-      facet->f.trivisible set to facetA
-      facet->center copied from facetA (created if qh_ASvoronoi)
-        qh_eachvoronoi, qh_detvridge, qh_detvridge3 assume centers copied
-      facet->normal,offset,maxoutside copied from facetA
-
-  notes:
-      qh_makenew_nonsimplicial uses neighbor->seen for the same
-
-  see also:
-      qh_addpoint() -- add a point
-      qh_makenewfacets() -- construct a cone of facets for a new vertex
-
-  design:
-      if qh_ASvoronoi,
-         compute Voronoi center (facet->center)
-      select first vertex (highest ID to preserve ID ordering of ->vertices)
-      triangulate from vertex to ridges
-      copy facet->center, normal, offset
-      update vertex neighbors
-*/
-void qh_triangulate_facet(facetT *facetA, vertexT **first_vertex) {
-  facetT *newfacet;
-  facetT *neighbor, **neighborp;
-  vertexT *apex;
-  int numnew=0;
-
-  trace3((qh ferr, 3020, "qh_triangulate_facet: triangulate facet f%d\n", facetA->id));
-
-  if (qh IStracing >= 4)
-    qh_printfacet(qh ferr, facetA);
-  FOREACHneighbor_(facetA) {
-    neighbor->seen= False;
-    neighbor->coplanar= False;
-  }
-  if (qh CENTERtype == qh_ASvoronoi && !facetA->center  /* matches upperdelaunay in qh_setfacetplane() */
-        && fabs_(facetA->normal[qh hull_dim -1]) >= qh ANGLEround * qh_ZEROdelaunay) {
-    facetA->center= qh_facetcenter(facetA->vertices);
-  }
-  qh_willdelete(facetA, NULL);
-  qh newfacet_list= qh facet_tail;
-  facetA->visitid= qh visit_id;
-  apex= SETfirstt_(facetA->vertices, vertexT);
-  qh_makenew_nonsimplicial(facetA, apex, &numnew);
-  SETfirst_(facetA->neighbors)= NULL;
-  FORALLnew_facets {
-    newfacet->tricoplanar= True;
-    newfacet->f.trivisible= facetA;
-    newfacet->degenerate= False;
-    newfacet->upperdelaunay= facetA->upperdelaunay;
-    newfacet->good= facetA->good;
-    if (qh TRInormals) {
-      newfacet->keepcentrum= True;
-      newfacet->normal= qh_copypoints(facetA->normal, 1, qh hull_dim);
-      if (qh CENTERtype == qh_AScentrum)
-        newfacet->center= qh_getcentrum(newfacet);
-      else
-        newfacet->center= qh_copypoints(facetA->center, 1, qh hull_dim);
-    }else {
-      newfacet->keepcentrum= False;
-      newfacet->normal= facetA->normal;
-      newfacet->center= facetA->center;
-    }
-    newfacet->offset= facetA->offset;
-#if qh_MAXoutside
-    newfacet->maxoutside= facetA->maxoutside;
-#endif
-  }
-  qh_matchnewfacets(/*qh newfacet_list*/);
-  zinc_(Ztricoplanar);
-  zadd_(Ztricoplanartot, numnew);
-  zmax_(Ztricoplanarmax, numnew);
-  qh visible_list= NULL;
-  if (!(*first_vertex))
-    (*first_vertex)= qh newvertex_list;
-  qh newvertex_list= NULL;
-  qh_updatevertices(/*qh newfacet_list, empty visible_list and newvertex_list*/);
-  qh_resetlists(False, !qh_RESETvisible /*qh newfacet_list, empty visible_list and newvertex_list*/);
-} /* triangulate_facet */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="triangulate_link">-</a>
-
-  qh_triangulate_link(oldfacetA, facetA, oldfacetB, facetB)
-    relink facetA to facetB via oldfacets
-  returns:
-    adds mirror facets to qh degen_mergeset (4-d and up only)
-  design:
-    if they are already neighbors, the opposing neighbors become MRGmirror facets
-*/
-void qh_triangulate_link(facetT *oldfacetA, facetT *facetA, facetT *oldfacetB, facetT *facetB) {
-  int errmirror= False;
-
-  trace3((qh ferr, 3021, "qh_triangulate_link: relink old facets f%d and f%d between neighbors f%d and f%d\n",
-         oldfacetA->id, oldfacetB->id, facetA->id, facetB->id));
-  if (qh_setin(facetA->neighbors, facetB)) {
-    if (!qh_setin(facetB->neighbors, facetA))
-      errmirror= True;
-    else
-      qh_appendmergeset(facetA, facetB, MRGmirror, NULL);
-  }else if (qh_setin(facetB->neighbors, facetA))
-    errmirror= True;
-  if (errmirror) {
-    qh_fprintf(qh ferr, 6163, "qhull error (qh_triangulate_link): mirror facets f%d and f%d do not match for old facets f%d and f%d\n",
-       facetA->id, facetB->id, oldfacetA->id, oldfacetB->id);
-    qh_errexit2 (qh_ERRqhull, facetA, facetB);
-  }
-  qh_setreplace(facetB->neighbors, oldfacetB, facetA);
-  qh_setreplace(facetA->neighbors, oldfacetA, facetB);
-} /* triangulate_link */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="triangulate_mirror">-</a>
-
-  qh_triangulate_mirror(facetA, facetB)
-    delete mirrored facets from qh_triangulate_null() and qh_triangulate_mirror
-      a mirrored facet shares the same vertices of a logical ridge
-  design:
-    since a null facet duplicates the first two vertices, the opposing neighbors absorb the null facet
-    if they are already neighbors, the opposing neighbors become MRGmirror facets
-*/
-void qh_triangulate_mirror(facetT *facetA, facetT *facetB) {
-  facetT *neighbor, *neighborB;
-  int neighbor_i, neighbor_n;
-
-  trace3((qh ferr, 3022, "qh_triangulate_mirror: delete mirrored facets f%d and f%d\n",
-         facetA->id, facetB->id));
-  FOREACHneighbor_i_(facetA) {
-    neighborB= SETelemt_(facetB->neighbors, neighbor_i, facetT);
-    if (neighbor == neighborB)
-      continue; /* occurs twice */
-    qh_triangulate_link(facetA, neighbor, facetB, neighborB);
-  }
-  qh_willdelete(facetA, NULL);
-  qh_willdelete(facetB, NULL);
-} /* triangulate_mirror */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="triangulate_null">-</a>
-
-  qh_triangulate_null(facetA)
-    remove null facetA from qh_triangulate_facet()
-      a null facet has vertex #1 (apex) == vertex #2
-  returns:
-    adds facetA to ->visible for deletion after qh_updatevertices
-    qh degen_mergeset contains mirror facets (4-d and up only)
-  design:
-    since a null facet duplicates the first two vertices, the opposing neighbors absorb the null facet
-    if they are already neighbors, the opposing neighbors become MRGmirror facets
-*/
-void qh_triangulate_null(facetT *facetA) {
-  facetT *neighbor, *otherfacet;
-
-  trace3((qh ferr, 3023, "qh_triangulate_null: delete null facet f%d\n", facetA->id));
-  neighbor= SETfirstt_(facetA->neighbors, facetT);
-  otherfacet= SETsecondt_(facetA->neighbors, facetT);
-  qh_triangulate_link(facetA, neighbor, facetA, otherfacet);
-  qh_willdelete(facetA, NULL);
-} /* triangulate_null */
-
-#else /* qh_NOmerge */
-void qh_triangulate(void) {
-}
-#endif /* qh_NOmerge */
-
-   /*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="vertexintersect">-</a>
-
-  qh_vertexintersect( vertexsetA, vertexsetB )
-    intersects two vertex sets (inverse id ordered)
-    vertexsetA is a temporary set at the top of qhmem.tempstack
-
-  returns:
-    replaces vertexsetA with the intersection
-
-  notes:
-    could overwrite vertexsetA if currently too slow
-*/
-void qh_vertexintersect(setT **vertexsetA,setT *vertexsetB) {
-  setT *intersection;
-
-  intersection= qh_vertexintersect_new(*vertexsetA, vertexsetB);
-  qh_settempfree(vertexsetA);
-  *vertexsetA= intersection;
-  qh_settemppush(intersection);
-} /* vertexintersect */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="vertexintersect_new">-</a>
-
-  qh_vertexintersect_new(  )
-    intersects two vertex sets (inverse id ordered)
-
-  returns:
-    a new set
-*/
-setT *qh_vertexintersect_new(setT *vertexsetA,setT *vertexsetB) {
-  setT *intersection= qh_setnew(qh hull_dim - 1);
-  vertexT **vertexA= SETaddr_(vertexsetA, vertexT);
-  vertexT **vertexB= SETaddr_(vertexsetB, vertexT);
-
-  while (*vertexA && *vertexB) {
-    if (*vertexA  == *vertexB) {
-      qh_setappend(&intersection, *vertexA);
-      vertexA++; vertexB++;
-    }else {
-      if ((*vertexA)->id > (*vertexB)->id)
-        vertexA++;
-      else
-        vertexB++;
-    }
-  }
-  return intersection;
-} /* vertexintersect_new */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="vertexneighbors">-</a>
-
-  qh_vertexneighbors()
-    for each vertex in qh.facet_list,
-      determine its neighboring facets
-
-  returns:
-    sets qh.VERTEXneighbors
-      nop if qh.VERTEXneighbors already set
-      qh_addpoint() will maintain them
-
-  notes:
-    assumes all vertex->neighbors are NULL
-
-  design:
-    for each facet
-      for each vertex
-        append facet to vertex->neighbors
-*/
-void qh_vertexneighbors(void /*qh facet_list*/) {
-  facetT *facet;
-  vertexT *vertex, **vertexp;
-
-  if (qh VERTEXneighbors)
-    return;
-  trace1((qh ferr, 1035, "qh_vertexneighbors: determing neighboring facets for each vertex\n"));
-  qh vertex_visit++;
-  FORALLfacets {
-    if (facet->visible)
-      continue;
-    FOREACHvertex_(facet->vertices) {
-      if (vertex->visitid != qh vertex_visit) {
-        vertex->visitid= qh vertex_visit;
-        vertex->neighbors= qh_setnew(qh hull_dim);
-      }
-      qh_setappend(&vertex->neighbors, facet);
-    }
-  }
-  qh VERTEXneighbors= True;
-} /* vertexneighbors */
-
-/*-<a                             href="qh-poly.htm#TOC"
-  >-------------------------------</a><a name="vertexsubset">-</a>
-
-  qh_vertexsubset( vertexsetA, vertexsetB )
-    returns True if vertexsetA is a subset of vertexsetB
-    assumes vertexsets are sorted
-
-  note:
-    empty set is a subset of any other set
-*/
-boolT qh_vertexsubset(setT *vertexsetA, setT *vertexsetB) {
-  vertexT **vertexA= (vertexT **) SETaddr_(vertexsetA, vertexT);
-  vertexT **vertexB= (vertexT **) SETaddr_(vertexsetB, vertexT);
-
-  while (True) {
-    if (!*vertexA)
-      return True;
-    if (!*vertexB)
-      return False;
-    if ((*vertexA)->id > (*vertexB)->id)
-      return False;
-    if (*vertexA  == *vertexB)
-      vertexA++;
-    vertexB++;
-  }
-  return False; /* avoid warnings */
-} /* vertexsubset */
diff --git a/extern/qhull/qhull_a.h b/extern/qhull/qhull_a.h
deleted file mode 100644
index 27021b25247f..000000000000
--- a/extern/qhull/qhull_a.h
+++ /dev/null
@@ -1,151 +0,0 @@
-/*<html><pre>  -<a                             href="qh-qhull.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   qhull_a.h
-   all header files for compiling qhull
-
-   see qh-qhull.htm
-
-   see libqhull.h for user-level definitions
-
-   see user.h for user-defineable constants
-
-   defines internal functions for libqhull.c global.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/qhull_a.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-
-   Notes:  grep for ((" and (" to catch fprintf("lkasdjf");
-           full parens around (x?y:z)
-           use '#include qhull/qhull_a.h' to avoid name clashes
-*/
-
-#ifndef qhDEFqhulla
-#define qhDEFqhulla 1
-
-#include "libqhull.h"  /* Defines data types */
-
-#include "stat.h"
-#include "random.h"
-#include "mem.h"
-#include "qset.h"
-#include "geom.h"
-#include "merge.h"
-#include "poly.h"
-#include "io.h"
-
-#include <setjmp.h>
-#include <string.h>
-#include <math.h>
-#include <float.h>    /* some compilers will not need float.h */
-#include <limits.h>
-#include <time.h>
-#include <ctype.h>
-#include <stdio.h>
-#include <stdlib.h>
-/*** uncomment here and qset.c
-     if string.h does not define memcpy()
-#include <memory.h>
-*/
-
-#if qh_CLOCKtype == 2  /* defined in user.h from libqhull.h */
-#include <sys/types.h>
-#include <sys/times.h>
-#include <unistd.h>
-#endif
-
-#ifdef _MSC_VER  /* Microsoft Visual C++ -- warning level 4 */
-#pragma warning( disable : 4100)  /* unreferenced formal parameter */
-#pragma warning( disable : 4127)  /* conditional expression is constant */
-#pragma warning( disable : 4706)  /* assignment within conditional function */
-#pragma warning( disable : 4996)  /* function was declared deprecated(strcpy, localtime, etc.) */
-#endif
-
-/* ======= -macros- =========== */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="traceN">-</a>
-
-  traceN((qh ferr, 0Nnnn, "format\n", vars));
-    calls qh_fprintf if qh.IStracing >= N
-
-    Add debugging traps to the end of qh_fprintf
-
-  notes:
-    removing tracing reduces code size but doesn't change execution speed
-*/
-#ifndef qh_NOtrace
-#define trace0(args) {if (qh IStracing) qh_fprintf args;}
-#define trace1(args) {if (qh IStracing >= 1) qh_fprintf args;}
-#define trace2(args) {if (qh IStracing >= 2) qh_fprintf args;}
-#define trace3(args) {if (qh IStracing >= 3) qh_fprintf args;}
-#define trace4(args) {if (qh IStracing >= 4) qh_fprintf args;}
-#define trace5(args) {if (qh IStracing >= 5) qh_fprintf args;}
-#else /* qh_NOtrace */
-#define trace0(args) {}
-#define trace1(args) {}
-#define trace2(args) {}
-#define trace3(args) {}
-#define trace4(args) {}
-#define trace5(args) {}
-#endif /* qh_NOtrace */
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >--------------------------------</a><a name="QHULL_UNUSED">-</a>
-
-*/
-
-/* See Qt's qglobal.h */
-#if !defined(SAG_COM) && (defined(WIN64) || defined(_WIN64) || defined(__WIN64__) || defined(WIN32) || defined(_WIN32) || defined(__WIN32__) || defined(__NT__))
-#   define QHULL_OS_WIN
-#elif defined(__MWERKS__) && defined(__INTEL__)
-#   define QHULL_OS_WIN
-#endif
-#if defined(__INTEL_COMPILER) && !defined(QHULL_OS_WIN)
-template <typename T>
-inline void qhullUnused(T &x) { (void)x; }
-#  define QHULL_UNUSED(x) qhullUnused(x);
-#else
-#  define QHULL_UNUSED(x) (void)x;
-#endif
-
-/***** -libqhull.c prototypes (alphabetical after qhull) ********************/
-
-void    qh_qhull(void);
-boolT   qh_addpoint(pointT *furthest, facetT *facet, boolT checkdist);
-void    qh_buildhull(void);
-void    qh_buildtracing(pointT *furthest, facetT *facet);
-void    qh_build_withrestart(void);
-void    qh_errexit2(int exitcode, facetT *facet, facetT *otherfacet);
-void    qh_findhorizon(pointT *point, facetT *facet, int *goodvisible,int *goodhorizon);
-pointT *qh_nextfurthest(facetT **visible);
-void    qh_partitionall(setT *vertices, pointT *points,int npoints);
-void    qh_partitioncoplanar(pointT *point, facetT *facet, realT *dist);
-void    qh_partitionpoint(pointT *point, facetT *facet);
-void    qh_partitionvisible(boolT allpoints, int *numpoints);
-void    qh_precision(const char *reason);
-void    qh_printsummary(FILE *fp);
-
-/***** -global.c internal prototypes (alphabetical) ***********************/
-
-void    qh_appendprint(qh_PRINT format);
-void    qh_freebuild(boolT allmem);
-void    qh_freebuffers(void);
-void    qh_initbuffers(coordT *points, int numpoints, int dim, boolT ismalloc);
-
-/***** -stat.c internal prototypes (alphabetical) ***********************/
-
-void    qh_allstatA(void);
-void    qh_allstatB(void);
-void    qh_allstatC(void);
-void    qh_allstatD(void);
-void    qh_allstatE(void);
-void    qh_allstatE2 (void);
-void    qh_allstatF(void);
-void    qh_allstatG(void);
-void    qh_allstatH(void);
-void    qh_freebuffers(void);
-void    qh_initbuffers(coordT *points, int numpoints, int dim, boolT ismalloc);
-
-#endif /* qhDEFqhulla */
diff --git a/extern/qhull/qset.c b/extern/qhull/qset.c
deleted file mode 100644
index e5038f4ac192..000000000000
--- a/extern/qhull/qset.c
+++ /dev/null
@@ -1,1337 +0,0 @@
-/*<html><pre>  -<a                             href="qh-set.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   qset.c
-   implements set manipulations needed for quickhull
-
-   see qh-set.htm and qset.h
-
-   Be careful of strict aliasing (two pointers of different types
-   that reference the same location).  The last slot of a set is
-   either the actual size of the set plus 1, or the NULL terminator
-   of the set (i.e., setelemT).
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/qset.c#6 $$Change: 1475 $
-   $DateTime: 2012/01/27 22:32:16 $$Author: bbarber $
-*/
-
-#include "qset.h"
-#include "mem.h"
-#include <stdio.h>
-#include <string.h>
-/*** uncomment here and qhull_a.h
-     if string.h does not define memcpy()
-#include <memory.h>
-*/
-
-#ifndef qhDEFlibqhull
-typedef struct ridgeT ridgeT;
-typedef struct facetT facetT;
-void    qh_errexit(int exitcode, facetT *, ridgeT *);
-void    qh_fprintf(FILE *fp, int msgcode, const char *fmt, ... );
-#  ifdef _MSC_VER  /* Microsoft Visual C++ -- warning level 4 */
-#  pragma warning( disable : 4127)  /* conditional expression is constant */
-#  pragma warning( disable : 4706)  /* assignment within conditional function */
-#  endif
-#endif
-
-/*=============== internal macros ===========================*/
-
-/*============ functions in alphabetical order ===================*/
-
-/*-<a                             href="qh-set.htm#TOC"
-  >--------------------------------<a name="setaddnth">-</a>
-
-  qh_setaddnth( setp, nth, newelem)
-    adds newelem as n'th element of sorted or unsorted *setp
-
-  notes:
-    *setp and newelem must be defined
-    *setp may be a temp set
-    nth=0 is first element
-    errors if nth is out of bounds
-
-  design:
-    expand *setp if empty or full
-    move tail of *setp up one
-    insert newelem
-*/
-void qh_setaddnth(setT **setp, int nth, void *newelem) {
-  int oldsize, i;
-  setelemT *sizep;          /* avoid strict aliasing */
-  setelemT *oldp, *newp;
-
-  if (!*setp || (sizep= SETsizeaddr_(*setp))->i==0) {
-    qh_setlarger(setp);
-    sizep= SETsizeaddr_(*setp);
-  }
-  oldsize= sizep->i - 1;
-  if (nth < 0 || nth > oldsize) {
-    qh_fprintf(qhmem.ferr, 6171, "qhull internal error (qh_setaddnth): nth %d is out-of-bounds for set:\n", nth);
-    qh_setprint(qhmem.ferr, "", *setp);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  sizep->i++;
-  oldp= (setelemT *)SETelemaddr_(*setp, oldsize, void);   /* NULL */
-  newp= oldp+1;
-  for (i=oldsize-nth+1; i--; )  /* move at least NULL  */
-    (newp--)->p= (oldp--)->p;       /* may overwrite *sizep */
-  newp->p= newelem;
-} /* setaddnth */
-
-
-/*-<a                              href="qh-set.htm#TOC"
-  >--------------------------------<a name="setaddsorted">-</a>
-
-  setaddsorted( setp, newelem )
-    adds an newelem into sorted *setp
-
-  notes:
-    *setp and newelem must be defined
-    *setp may be a temp set
-    nop if newelem already in set
-
-  design:
-    find newelem's position in *setp
-    insert newelem
-*/
-void qh_setaddsorted(setT **setp, void *newelem) {
-  int newindex=0;
-  void *elem, **elemp;
-
-  FOREACHelem_(*setp) {          /* could use binary search instead */
-    if (elem < newelem)
-      newindex++;
-    else if (elem == newelem)
-      return;
-    else
-      break;
-  }
-  qh_setaddnth(setp, newindex, newelem);
-} /* setaddsorted */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setappend">-</a>
-
-  qh_setappend( setp, newelem)
-    append newelem to *setp
-
-  notes:
-    *setp may be a temp set
-    *setp and newelem may be NULL
-
-  design:
-    expand *setp if empty or full
-    append newelem to *setp
-
-*/
-void qh_setappend(setT **setp, void *newelem) {
-  setelemT *sizep;  /* Avoid strict aliasing.  Writing to *endp may overwrite *sizep */
-  setelemT *endp;
-  int count;
-
-  if (!newelem)
-    return;
-  if (!*setp || (sizep= SETsizeaddr_(*setp))->i==0) {
-    qh_setlarger(setp);
-    sizep= SETsizeaddr_(*setp);
-  }
-  count= (sizep->i)++ - 1;
-  endp= (setelemT *)SETelemaddr_(*setp, count, void);
-  (endp++)->p= newelem;
-  endp->p= NULL;
-} /* setappend */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setappend_set">-</a>
-
-  qh_setappend_set( setp, setA)
-    appends setA to *setp
-
-  notes:
-    *setp can not be a temp set
-    *setp and setA may be NULL
-
-  design:
-    setup for copy
-    expand *setp if it is too small
-    append all elements of setA to *setp
-*/
-void qh_setappend_set(setT **setp, setT *setA) {
-  int sizeA, size;
-  setT *oldset;
-  setelemT *sizep;
-
-  if (!setA)
-    return;
-  SETreturnsize_(setA, sizeA);
-  if (!*setp)
-    *setp= qh_setnew(sizeA);
-  sizep= SETsizeaddr_(*setp);
-  if (!(size= sizep->i))
-    size= (*setp)->maxsize;
-  else
-    size--;
-  if (size + sizeA > (*setp)->maxsize) {
-    oldset= *setp;
-    *setp= qh_setcopy(oldset, sizeA);
-    qh_setfree(&oldset);
-    sizep= SETsizeaddr_(*setp);
-  }
-  if (sizeA > 0) {
-    sizep->i= size+sizeA+1;   /* memcpy may overwrite */
-    memcpy((char *)&((*setp)->e[size].p), (char *)&(setA->e[0].p), (size_t)(sizeA+1) * SETelemsize);
-  }
-} /* setappend_set */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setappend2ndlast">-</a>
-
-  qh_setappend2ndlast( setp, newelem )
-    makes newelem the next to the last element in *setp
-
-  notes:
-    *setp must have at least one element
-    newelem must be defined
-    *setp may be a temp set
-
-  design:
-    expand *setp if empty or full
-    move last element of *setp up one
-    insert newelem
-*/
-void qh_setappend2ndlast(setT **setp, void *newelem) {
-    setelemT *sizep;  /* Avoid strict aliasing.  Writing to *endp may overwrite *sizep */
-    setelemT *endp, *lastp;
-    int count;
-
-    if (!*setp || (sizep= SETsizeaddr_(*setp))->i==0) {
-        qh_setlarger(setp);
-        sizep= SETsizeaddr_(*setp);
-    }
-    count= (sizep->i)++ - 1;
-    endp= (setelemT *)SETelemaddr_(*setp, count, void); /* NULL */
-    lastp= endp-1;
-    *(endp++)= *lastp;
-    endp->p= NULL;    /* may overwrite *sizep */
-    lastp->p= newelem;
-} /* setappend2ndlast */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setcheck">-</a>
-
-  qh_setcheck( set, typename, id )
-    check set for validity
-    report errors with typename and id
-
-  design:
-    checks that maxsize, actual size, and NULL terminator agree
-*/
-void qh_setcheck(setT *set, const char *tname, unsigned id) {
-  int maxsize, size;
-  int waserr= 0;
-
-  if (!set)
-    return;
-  SETreturnsize_(set, size);
-  maxsize= set->maxsize;
-  if (size > maxsize || !maxsize) {
-    qh_fprintf(qhmem.ferr, 6172, "qhull internal error (qh_setcheck): actual size %d of %s%d is greater than max size %d\n",
-             size, tname, id, maxsize);
-    waserr= 1;
-  }else if (set->e[size].p) {
-    qh_fprintf(qhmem.ferr, 6173, "qhull internal error (qh_setcheck): %s%d(size %d max %d) is not null terminated.\n",
-             tname, id, size-1, maxsize);
-    waserr= 1;
-  }
-  if (waserr) {
-    qh_setprint(qhmem.ferr, "ERRONEOUS", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-} /* setcheck */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setcompact">-</a>
-
-  qh_setcompact( set )
-    remove internal NULLs from an unsorted set
-
-  returns:
-    updated set
-
-  notes:
-    set may be NULL
-    it would be faster to swap tail of set into holes, like qh_setdel
-
-  design:
-    setup pointers into set
-    skip NULLs while copying elements to start of set
-    update the actual size
-*/
-void qh_setcompact(setT *set) {
-  int size;
-  void **destp, **elemp, **endp, **firstp;
-
-  if (!set)
-    return;
-  SETreturnsize_(set, size);
-  destp= elemp= firstp= SETaddr_(set, void);
-  endp= destp + size;
-  while (1) {
-    if (!(*destp++ = *elemp++)) {
-      destp--;
-      if (elemp > endp)
-        break;
-    }
-  }
-  qh_settruncate(set, (int)(destp-firstp));   /* WARN64 */
-} /* setcompact */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setcopy">-</a>
-
-  qh_setcopy( set, extra )
-    make a copy of a sorted or unsorted set with extra slots
-
-  returns:
-    new set
-
-  design:
-    create a newset with extra slots
-    copy the elements to the newset
-
-*/
-setT *qh_setcopy(setT *set, int extra) {
-  setT *newset;
-  int size;
-
-  if (extra < 0)
-    extra= 0;
-  SETreturnsize_(set, size);
-  newset= qh_setnew(size+extra);
-  SETsizeaddr_(newset)->i= size+1;    /* memcpy may overwrite */
-  memcpy((char *)&(newset->e[0].p), (char *)&(set->e[0].p), (size_t)(size+1) * SETelemsize);
-  return(newset);
-} /* setcopy */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setdel">-</a>
-
-  qh_setdel( set, oldelem )
-    delete oldelem from an unsorted set
-
-  returns:
-    returns oldelem if found
-    returns NULL otherwise
-
-  notes:
-    set may be NULL
-    oldelem must not be NULL;
-    only deletes one copy of oldelem in set
-
-  design:
-    locate oldelem
-    update actual size if it was full
-    move the last element to the oldelem's location
-*/
-void *qh_setdel(setT *set, void *oldelem) {
-  setelemT *sizep;
-  setelemT *elemp;
-  setelemT *lastp;
-
-  if (!set)
-    return NULL;
-  elemp= (setelemT *)SETaddr_(set, void);
-  while (elemp->p != oldelem && elemp->p)
-    elemp++;
-  if (elemp->p) {
-    sizep= SETsizeaddr_(set);
-    if (!(sizep->i)--)         /*  if was a full set */
-      sizep->i= set->maxsize;  /*     *sizep= (maxsize-1)+ 1 */
-    lastp= (setelemT *)SETelemaddr_(set, sizep->i-1, void);
-    elemp->p= lastp->p;      /* may overwrite itself */
-    lastp->p= NULL;
-    return oldelem;
-  }
-  return NULL;
-} /* setdel */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setdellast">-</a>
-
-  qh_setdellast( set)
-    return last element of set or NULL
-
-  notes:
-    deletes element from set
-    set may be NULL
-
-  design:
-    return NULL if empty
-    if full set
-      delete last element and set actual size
-    else
-      delete last element and update actual size
-*/
-void *qh_setdellast(setT *set) {
-  int setsize;  /* actually, actual_size + 1 */
-  int maxsize;
-  setelemT *sizep;
-  void *returnvalue;
-
-  if (!set || !(set->e[0].p))
-    return NULL;
-  sizep= SETsizeaddr_(set);
-  if ((setsize= sizep->i)) {
-    returnvalue= set->e[setsize - 2].p;
-    set->e[setsize - 2].p= NULL;
-    sizep->i--;
-  }else {
-    maxsize= set->maxsize;
-    returnvalue= set->e[maxsize - 1].p;
-    set->e[maxsize - 1].p= NULL;
-    sizep->i= maxsize;
-  }
-  return returnvalue;
-} /* setdellast */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setdelnth">-</a>
-
-  qh_setdelnth( set, nth )
-    deletes nth element from unsorted set
-    0 is first element
-
-  returns:
-    returns the element (needs type conversion)
-
-  notes:
-    errors if nth invalid
-
-  design:
-    setup points and check nth
-    delete nth element and overwrite with last element
-*/
-void *qh_setdelnth(setT *set, int nth) {
-  void *elem;
-  setelemT *sizep;
-  setelemT *elemp, *lastp;
-
-  elemp= (setelemT *)SETelemaddr_(set, nth, void);
-  sizep= SETsizeaddr_(set);
-  if ((sizep->i--)==0)         /*  if was a full set */
-    sizep->i= set->maxsize;  /*     *sizep= (maxsize-1)+ 1 */
-  if (nth < 0 || nth >= sizep->i) {
-    qh_fprintf(qhmem.ferr, 6174, "qhull internal error (qh_setdelnth): nth %d is out-of-bounds for set:\n", nth);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  lastp= (setelemT *)SETelemaddr_(set, sizep->i-1, void);
-  elem= elemp->p;
-  elemp->p= lastp->p;      /* may overwrite itself */
-  lastp->p= NULL;
-  return elem;
-} /* setdelnth */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setdelnthsorted">-</a>
-
-  qh_setdelnthsorted( set, nth )
-    deletes nth element from sorted set
-
-  returns:
-    returns the element (use type conversion)
-
-  notes:
-    errors if nth invalid
-
-  see also:
-    setnew_delnthsorted
-
-  design:
-    setup points and check nth
-    copy remaining elements down one
-    update actual size
-*/
-void *qh_setdelnthsorted(setT *set, int nth) {
-  void *elem;
-  setelemT *sizep;
-  setelemT *newp, *oldp;
-
-  sizep= SETsizeaddr_(set);
-  if (nth < 0 || (sizep->i && nth >= sizep->i-1) || nth >= set->maxsize) {
-    qh_fprintf(qhmem.ferr, 6175, "qhull internal error (qh_setdelnthsorted): nth %d is out-of-bounds for set:\n", nth);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  newp= (setelemT *)SETelemaddr_(set, nth, void);
-  elem= newp->p;
-  oldp= newp+1;
-  while (((newp++)->p= (oldp++)->p))
-    ; /* copy remaining elements and NULL */
-  if ((sizep->i--)==0)         /*  if was a full set */
-    sizep->i= set->maxsize;  /*     *sizep= (max size-1)+ 1 */
-  return elem;
-} /* setdelnthsorted */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setdelsorted">-</a>
-
-  qh_setdelsorted( set, oldelem )
-    deletes oldelem from sorted set
-
-  returns:
-    returns oldelem if it was deleted
-
-  notes:
-    set may be NULL
-
-  design:
-    locate oldelem in set
-    copy remaining elements down one
-    update actual size
-*/
-void *qh_setdelsorted(setT *set, void *oldelem) {
-  setelemT *sizep;
-  setelemT *newp, *oldp;
-
-  if (!set)
-    return NULL;
-  newp= (setelemT *)SETaddr_(set, void);
-  while(newp->p != oldelem && newp->p)
-    newp++;
-  if (newp->p) {
-    oldp= newp+1;
-    while (((newp++)->p= (oldp++)->p))
-      ; /* copy remaining elements */
-    sizep= SETsizeaddr_(set);
-    if ((sizep->i--)==0)    /*  if was a full set */
-      sizep->i= set->maxsize;  /*     *sizep= (max size-1)+ 1 */
-    return oldelem;
-  }
-  return NULL;
-} /* setdelsorted */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setduplicate">-</a>
-
-  qh_setduplicate( set, elemsize )
-    duplicate a set of elemsize elements
-
-  notes:
-    use setcopy if retaining old elements
-
-  design:
-    create a new set
-    for each elem of the old set
-      create a newelem
-      append newelem to newset
-*/
-setT *qh_setduplicate(setT *set, int elemsize) {
-  void          *elem, **elemp, *newElem;
-  setT          *newSet;
-  int           size;
-
-  if (!(size= qh_setsize(set)))
-    return NULL;
-  newSet= qh_setnew(size);
-  FOREACHelem_(set) {
-    newElem= qh_memalloc(elemsize);
-    memcpy(newElem, elem, (size_t)elemsize);
-    qh_setappend(&newSet, newElem);
-  }
-  return newSet;
-} /* setduplicate */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setendpointer">-</a>
-
-  qh_setendpointer( set )
-    Returns pointer to NULL terminator of a set's elements
-    set can not be NULL
-
-*/
-void **qh_setendpointer(setT *set) {
-
-  setelemT *sizep= SETsizeaddr_(set);
-  int n= sizep->i;
-  return (n ? &set->e[n-1].p : &sizep->p);
-} /* qh_setendpointer */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setequal">-</a>
-
-  qh_setequal(  )
-    returns 1 if two sorted sets are equal, otherwise returns 0
-
-  notes:
-    either set may be NULL
-
-  design:
-    check size of each set
-    setup pointers
-    compare elements of each set
-*/
-int qh_setequal(setT *setA, setT *setB) {
-  void **elemAp, **elemBp;
-  int sizeA= 0, sizeB= 0;
-
-  if (setA) {
-    SETreturnsize_(setA, sizeA);
-  }
-  if (setB) {
-    SETreturnsize_(setB, sizeB);
-  }
-  if (sizeA != sizeB)
-    return 0;
-  if (!sizeA)
-    return 1;
-  elemAp= SETaddr_(setA, void);
-  elemBp= SETaddr_(setB, void);
-  if (!memcmp((char *)elemAp, (char *)elemBp, sizeA*SETelemsize))
-    return 1;
-  return 0;
-} /* setequal */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setequal_except">-</a>
-
-  qh_setequal_except( setA, skipelemA, setB, skipelemB )
-    returns 1 if sorted setA and setB are equal except for skipelemA & B
-
-  returns:
-    false if either skipelemA or skipelemB are missing
-
-  notes:
-    neither set may be NULL
-
-    if skipelemB is NULL,
-      can skip any one element of setB
-
-  design:
-    setup pointers
-    search for skipelemA, skipelemB, and mismatches
-    check results
-*/
-int qh_setequal_except(setT *setA, void *skipelemA, setT *setB, void *skipelemB) {
-  void **elemA, **elemB;
-  int skip=0;
-
-  elemA= SETaddr_(setA, void);
-  elemB= SETaddr_(setB, void);
-  while (1) {
-    if (*elemA == skipelemA) {
-      skip++;
-      elemA++;
-    }
-    if (skipelemB) {
-      if (*elemB == skipelemB) {
-        skip++;
-        elemB++;
-      }
-    }else if (*elemA != *elemB) {
-      skip++;
-      if (!(skipelemB= *elemB++))
-        return 0;
-    }
-    if (!*elemA)
-      break;
-    if (*elemA++ != *elemB++)
-      return 0;
-  }
-  if (skip != 2 || *elemB)
-    return 0;
-  return 1;
-} /* setequal_except */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setequal_skip">-</a>
-
-  qh_setequal_skip( setA, skipA, setB, skipB )
-    returns 1 if sorted setA and setB are equal except for elements skipA & B
-
-  returns:
-    false if different size
-
-  notes:
-    neither set may be NULL
-
-  design:
-    setup pointers
-    search for mismatches while skipping skipA and skipB
-*/
-int qh_setequal_skip(setT *setA, int skipA, setT *setB, int skipB) {
-  void **elemA, **elemB, **skipAp, **skipBp;
-
-  elemA= SETaddr_(setA, void);
-  elemB= SETaddr_(setB, void);
-  skipAp= SETelemaddr_(setA, skipA, void);
-  skipBp= SETelemaddr_(setB, skipB, void);
-  while (1) {
-    if (elemA == skipAp)
-      elemA++;
-    if (elemB == skipBp)
-      elemB++;
-    if (!*elemA)
-      break;
-    if (*elemA++ != *elemB++)
-      return 0;
-  }
-  if (*elemB)
-    return 0;
-  return 1;
-} /* setequal_skip */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setfree">-</a>
-
-  qh_setfree( setp )
-    frees the space occupied by a sorted or unsorted set
-
-  returns:
-    sets setp to NULL
-
-  notes:
-    set may be NULL
-
-  design:
-    free array
-    free set
-*/
-void qh_setfree(setT **setp) {
-  int size;
-  void **freelistp;  /* used !qh_NOmem */
-
-  if (*setp) {
-    size= sizeof(setT) + ((*setp)->maxsize)*SETelemsize;
-    if (size <= qhmem.LASTsize) {
-      qh_memfree_(*setp, size, freelistp);
-    }else
-      qh_memfree(*setp, size);
-    *setp= NULL;
-  }
-} /* setfree */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setfree2">-</a>
-
-  qh_setfree2( setp, elemsize )
-    frees the space occupied by a set and its elements
-
-  notes:
-    set may be NULL
-
-  design:
-    free each element
-    free set
-*/
-void qh_setfree2 (setT **setp, int elemsize) {
-  void          *elem, **elemp;
-
-  FOREACHelem_(*setp)
-    qh_memfree(elem, elemsize);
-  qh_setfree(setp);
-} /* setfree2 */
-
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setfreelong">-</a>
-
-  qh_setfreelong( setp )
-    frees a set only if it's in long memory
-
-  returns:
-    sets setp to NULL if it is freed
-
-  notes:
-    set may be NULL
-
-  design:
-    if set is large
-      free it
-*/
-void qh_setfreelong(setT **setp) {
-  int size;
-
-  if (*setp) {
-    size= sizeof(setT) + ((*setp)->maxsize)*SETelemsize;
-    if (size > qhmem.LASTsize) {
-      qh_memfree(*setp, size);
-      *setp= NULL;
-    }
-  }
-} /* setfreelong */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setin">-</a>
-
-  qh_setin( set, setelem )
-    returns 1 if setelem is in a set, 0 otherwise
-
-  notes:
-    set may be NULL or unsorted
-
-  design:
-    scans set for setelem
-*/
-int qh_setin(setT *set, void *setelem) {
-  void *elem, **elemp;
-
-  FOREACHelem_(set) {
-    if (elem == setelem)
-      return 1;
-  }
-  return 0;
-} /* setin */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setindex">-</a>
-
-  qh_setindex( set, atelem )
-    returns the index of atelem in set.
-    returns -1, if not in set or maxsize wrong
-
-  notes:
-    set may be NULL and may contain nulls.
-    NOerrors returned (qh_pointid, QhullPoint::id)
-
-  design:
-    checks maxsize
-    scans set for atelem
-*/
-int qh_setindex(setT *set, void *atelem) {
-  void **elem;
-  int size, i;
-
-  if (!set)
-    return -1;
-  SETreturnsize_(set, size);
-  if (size > set->maxsize)
-    return -1;
-  elem= SETaddr_(set, void);
-  for (i=0; i < size; i++) {
-    if (*elem++ == atelem)
-      return i;
-  }
-  return -1;
-} /* setindex */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setlarger">-</a>
-
-  qh_setlarger( oldsetp )
-    returns a larger set that contains all elements of *oldsetp
-
-  notes:
-    the set is at least twice as large
-    if temp set, updates qhmem.tempstack
-
-  design:
-    creates a new set
-    copies the old set to the new set
-    updates pointers in tempstack
-    deletes the old set
-*/
-void qh_setlarger(setT **oldsetp) {
-  int size= 1;
-  setT *newset, *set, **setp, *oldset;
-  setelemT *sizep;
-  setelemT *newp, *oldp;
-
-  if (*oldsetp) {
-    oldset= *oldsetp;
-    SETreturnsize_(oldset, size);
-    qhmem.cntlarger++;
-    qhmem.totlarger += size+1;
-    newset= qh_setnew(2 * size);
-    oldp= (setelemT *)SETaddr_(oldset, void);
-    newp= (setelemT *)SETaddr_(newset, void);
-    memcpy((char *)newp, (char *)oldp, (size_t)(size+1) * SETelemsize);
-    sizep= SETsizeaddr_(newset);
-    sizep->i= size+1;
-    FOREACHset_((setT *)qhmem.tempstack) {
-      if (set == oldset)
-        *(setp-1)= newset;
-    }
-    qh_setfree(oldsetp);
-  }else
-    newset= qh_setnew(3);
-  *oldsetp= newset;
-} /* setlarger */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setlast">-</a>
-
-  qh_setlast(  )
-    return last element of set or NULL (use type conversion)
-
-  notes:
-    set may be NULL
-
-  design:
-    return last element
-*/
-void *qh_setlast(setT *set) {
-  int size;
-
-  if (set) {
-    size= SETsizeaddr_(set)->i;
-    if (!size)
-      return SETelem_(set, set->maxsize - 1);
-    else if (size > 1)
-      return SETelem_(set, size - 2);
-  }
-  return NULL;
-} /* setlast */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setnew">-</a>
-
-  qh_setnew( setsize )
-    creates and allocates space for a set
-
-  notes:
-    setsize means the number of elements (!including the NULL terminator)
-    use qh_settemp/qh_setfreetemp if set is temporary
-
-  design:
-    allocate memory for set
-    roundup memory if small set
-    initialize as empty set
-*/
-setT *qh_setnew(int setsize) {
-  setT *set;
-  int sizereceived; /* used !qh_NOmem */
-  int size;
-  void **freelistp; /* used !qh_NOmem */
-
-  if (!setsize)
-    setsize++;
-  size= sizeof(setT) + setsize * SETelemsize;
-  if (size>0 && size <= qhmem.LASTsize) {
-    qh_memalloc_(size, freelistp, set, setT);
-#ifndef qh_NOmem
-    sizereceived= qhmem.sizetable[ qhmem.indextable[size]];
-    if (sizereceived > size)
-      setsize += (sizereceived - size)/SETelemsize;
-#endif
-  }else
-    set= (setT*)qh_memalloc(size);
-  set->maxsize= setsize;
-  set->e[setsize].i= 1;
-  set->e[0].p= NULL;
-  return(set);
-} /* setnew */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setnew_delnthsorted">-</a>
-
-  qh_setnew_delnthsorted( set, size, nth, prepend )
-    creates a sorted set not containing nth element
-    if prepend, the first prepend elements are undefined
-
-  notes:
-    set must be defined
-    checks nth
-    see also: setdelnthsorted
-
-  design:
-    create new set
-    setup pointers and allocate room for prepend'ed entries
-    append head of old set to new set
-    append tail of old set to new set
-*/
-setT *qh_setnew_delnthsorted(setT *set, int size, int nth, int prepend) {
-  setT *newset;
-  void **oldp, **newp;
-  int tailsize= size - nth -1, newsize;
-
-  if (tailsize < 0) {
-    qh_fprintf(qhmem.ferr, 6176, "qhull internal error (qh_setnew_delnthsorted): nth %d is out-of-bounds for set:\n", nth);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  newsize= size-1 + prepend;
-  newset= qh_setnew(newsize);
-  newset->e[newset->maxsize].i= newsize+1;  /* may be overwritten */
-  oldp= SETaddr_(set, void);
-  newp= SETaddr_(newset, void) + prepend;
-  switch (nth) {
-  case 0:
-    break;
-  case 1:
-    *(newp++)= *oldp++;
-    break;
-  case 2:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  case 3:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  case 4:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  default:
-    memcpy((char *)newp, (char *)oldp, (size_t)nth * SETelemsize);
-    newp += nth;
-    oldp += nth;
-    break;
-  }
-  oldp++;
-  switch (tailsize) {
-  case 0:
-    break;
-  case 1:
-    *(newp++)= *oldp++;
-    break;
-  case 2:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  case 3:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  case 4:
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    *(newp++)= *oldp++;
-    break;
-  default:
-    memcpy((char *)newp, (char *)oldp, (size_t)tailsize * SETelemsize);
-    newp += tailsize;
-  }
-  *newp= NULL;
-  return(newset);
-} /* setnew_delnthsorted */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setprint">-</a>
-
-  qh_setprint( fp, string, set )
-    print set elements to fp with identifying string
-
-  notes:
-    never errors
-*/
-void qh_setprint(FILE *fp, const char* string, setT *set) {
-  int size, k;
-
-  if (!set)
-    qh_fprintf(fp, 9346, "%s set is null\n", string);
-  else {
-    SETreturnsize_(set, size);
-    qh_fprintf(fp, 9347, "%s set=%p maxsize=%d size=%d elems=",
-             string, set, set->maxsize, size);
-    if (size > set->maxsize)
-      size= set->maxsize+1;
-    for (k=0; k < size; k++)
-      qh_fprintf(fp, 9348, " %p", set->e[k].p);
-    qh_fprintf(fp, 9349, "\n");
-  }
-} /* setprint */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setreplace">-</a>
-
-  qh_setreplace( set, oldelem, newelem )
-    replaces oldelem in set with newelem
-
-  notes:
-    errors if oldelem not in the set
-    newelem may be NULL, but it turns the set into an indexed set (no FOREACH)
-
-  design:
-    find oldelem
-    replace with newelem
-*/
-void qh_setreplace(setT *set, void *oldelem, void *newelem) {
-  void **elemp;
-
-  elemp= SETaddr_(set, void);
-  while (*elemp != oldelem && *elemp)
-    elemp++;
-  if (*elemp)
-    *elemp= newelem;
-  else {
-    qh_fprintf(qhmem.ferr, 6177, "qhull internal error (qh_setreplace): elem %p not found in set\n",
-       oldelem);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-} /* setreplace */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setsize">-</a>
-
-  qh_setsize( set )
-    returns the size of a set
-
-  notes:
-    errors if set's maxsize is incorrect
-    same as SETreturnsize_(set)
-    same code for qh_setsize [qset.c] and QhullSetBase::count
-
-  design:
-    determine actual size of set from maxsize
-*/
-int qh_setsize(setT *set) {
-  int size;
-  setelemT *sizep;
-
-  if (!set)
-    return(0);
-  sizep= SETsizeaddr_(set);
-  if ((size= sizep->i)) {
-    size--;
-    if (size > set->maxsize) {
-      qh_fprintf(qhmem.ferr, 6178, "qhull internal error (qh_setsize): current set size %d is greater than maximum size %d\n",
-               size, set->maxsize);
-      qh_setprint(qhmem.ferr, "set: ", set);
-      qh_errexit(qhmem_ERRqhull, NULL, NULL);
-    }
-  }else
-    size= set->maxsize;
-  return size;
-} /* setsize */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settemp">-</a>
-
-  qh_settemp( setsize )
-    return a stacked, temporary set of upto setsize elements
-
-  notes:
-    use settempfree or settempfree_all to release from qhmem.tempstack
-    see also qh_setnew
-
-  design:
-    allocate set
-    append to qhmem.tempstack
-
-*/
-setT *qh_settemp(int setsize) {
-  setT *newset;
-
-  newset= qh_setnew(setsize);
-  qh_setappend(&qhmem.tempstack, newset);
-  if (qhmem.IStracing >= 5)
-    qh_fprintf(qhmem.ferr, 8123, "qh_settemp: temp set %p of %d elements, depth %d\n",
-       newset, newset->maxsize, qh_setsize(qhmem.tempstack));
-  return newset;
-} /* settemp */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settempfree">-</a>
-
-  qh_settempfree( set )
-    free temporary set at top of qhmem.tempstack
-
-  notes:
-    nop if set is NULL
-    errors if set not from previous   qh_settemp
-
-  to locate errors:
-    use 'T2' to find source and then find mis-matching qh_settemp
-
-  design:
-    check top of qhmem.tempstack
-    free it
-*/
-void qh_settempfree(setT **set) {
-  setT *stackedset;
-
-  if (!*set)
-    return;
-  stackedset= qh_settemppop();
-  if (stackedset != *set) {
-    qh_settemppush(stackedset);
-    qh_fprintf(qhmem.ferr, 6179, "qhull internal error (qh_settempfree): set %p(size %d) was not last temporary allocated(depth %d, set %p, size %d)\n",
-             *set, qh_setsize(*set), qh_setsize(qhmem.tempstack)+1,
-             stackedset, qh_setsize(stackedset));
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  qh_setfree(set);
-} /* settempfree */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settempfree_all">-</a>
-
-  qh_settempfree_all(  )
-    free all temporary sets in qhmem.tempstack
-
-  design:
-    for each set in tempstack
-      free set
-    free qhmem.tempstack
-*/
-void qh_settempfree_all(void) {
-  setT *set, **setp;
-
-  FOREACHset_(qhmem.tempstack)
-    qh_setfree(&set);
-  qh_setfree(&qhmem.tempstack);
-} /* settempfree_all */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settemppop">-</a>
-
-  qh_settemppop(  )
-    pop and return temporary set from qhmem.tempstack
-
-  notes:
-    the returned set is permanent
-
-  design:
-    pop and check top of qhmem.tempstack
-*/
-setT *qh_settemppop(void) {
-  setT *stackedset;
-
-  stackedset= (setT*)qh_setdellast(qhmem.tempstack);
-  if (!stackedset) {
-    qh_fprintf(qhmem.ferr, 6180, "qhull internal error (qh_settemppop): pop from empty temporary stack\n");
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  if (qhmem.IStracing >= 5)
-    qh_fprintf(qhmem.ferr, 8124, "qh_settemppop: depth %d temp set %p of %d elements\n",
-       qh_setsize(qhmem.tempstack)+1, stackedset, qh_setsize(stackedset));
-  return stackedset;
-} /* settemppop */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settemppush">-</a>
-
-  qh_settemppush( set )
-    push temporary set unto qhmem.tempstack (makes it temporary)
-
-  notes:
-    duplicates settemp() for tracing
-
-  design:
-    append set to tempstack
-*/
-void qh_settemppush(setT *set) {
-    if (!set) {
-        fprintf (qhmem.ferr, "qhull error (qh_settemppush): can not push a NULL temp\n");
-        qh_errexit (qhmem_ERRqhull, NULL, NULL);
-    }
-  qh_setappend(&qhmem.tempstack, set);
-  if (qhmem.IStracing >= 5)
-    qh_fprintf(qhmem.ferr, 8125, "qh_settemppush: depth %d temp set %p of %d elements\n",
-      qh_setsize(qhmem.tempstack), set, qh_setsize(set));
-} /* settemppush */
-
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="settruncate">-</a>
-
-  qh_settruncate( set, size )
-    truncate set to size elements
-
-  notes:
-    set must be defined
-
-  see:
-    SETtruncate_
-
-  design:
-    check size
-    update actual size of set
-*/
-void qh_settruncate(setT *set, int size) {
-
-  if (size < 0 || size > set->maxsize) {
-    qh_fprintf(qhmem.ferr, 6181, "qhull internal error (qh_settruncate): size %d out of bounds for set:\n", size);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  set->e[set->maxsize].i= size+1;   /* maybe overwritten */
-  set->e[size].p= NULL;
-} /* settruncate */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setunique">-</a>
-
-  qh_setunique( set, elem )
-    add elem to unsorted set unless it is already in set
-
-  notes:
-    returns 1 if it is appended
-
-  design:
-    if elem not in set
-      append elem to set
-*/
-int qh_setunique(setT **set, void *elem) {
-
-  if (!qh_setin(*set, elem)) {
-    qh_setappend(set, elem);
-    return 1;
-  }
-  return 0;
-} /* setunique */
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="setzero">-</a>
-
-  qh_setzero( set, index, size )
-    zero elements from index on
-    set actual size of set to size
-
-  notes:
-    set must be defined
-    the set becomes an indexed set (can not use FOREACH...)
-
-  see also:
-    qh_settruncate
-
-  design:
-    check index and size
-    update actual size
-    zero elements starting at e[index]
-*/
-void qh_setzero(setT *set, int idx, int size) {
-  int count;
-
-  if (idx < 0 || idx >= size || size > set->maxsize) {
-    qh_fprintf(qhmem.ferr, 6182, "qhull internal error (qh_setzero): index %d or size %d out of bounds for set:\n", idx, size);
-    qh_setprint(qhmem.ferr, "", set);
-    qh_errexit(qhmem_ERRqhull, NULL, NULL);
-  }
-  set->e[set->maxsize].i=  size+1;  /* may be overwritten */
-  count= size - idx + 1;   /* +1 for NULL terminator */
-  memset((char *)SETelemaddr_(set, idx, void), 0, (size_t)count * SETelemsize);
-} /* setzero */
diff --git a/extern/qhull/qset.h b/extern/qhull/qset.h
deleted file mode 100644
index 759b501a8017..000000000000
--- a/extern/qhull/qset.h
+++ /dev/null
@@ -1,488 +0,0 @@
-/*<html><pre>  -<a                             href="qh-set.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   qset.h
-     header file for qset.c that implements set
-
-   see qh-set.htm and qset.c
-
-   only uses mem.c, malloc/free
-
-   for error handling, writes message and calls
-      qh_errexit(qhmem_ERRqhull, NULL, NULL);
-
-   set operations satisfy the following properties:
-    - sets have a max size, the actual size (if different) is stored at the end
-    - every set is NULL terminated
-    - sets may be sorted or unsorted, the caller must distinguish this
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/qset.h#4 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFset
-#define qhDEFset 1
-
-#include <stdio.h>
-
-/*================= -structures- ===============*/
-
-#ifndef DEFsetT
-#define DEFsetT 1
-typedef struct setT setT;   /* a set is a sorted or unsorted array of pointers */
-#endif
-
-/*-<a                                      href="qh-set.htm#TOC"
->----------------------------------------</a><a name="setT">-</a>
-
-setT
-  a set or list of pointers with maximum size and actual size.
-
-variations:
-  unsorted, unique   -- a list of unique pointers with NULL terminator
-                           user guarantees uniqueness
-  sorted             -- a sorted list of unique pointers with NULL terminator
-                           qset.c guarantees uniqueness
-  unsorted           -- a list of pointers terminated with NULL
-  indexed            -- an array of pointers with NULL elements
-
-structure for set of n elements:
-
-        --------------
-        |  maxsize
-        --------------
-        |  e[0] - a pointer, may be NULL for indexed sets
-        --------------
-        |  e[1]
-
-        --------------
-        |  ...
-        --------------
-        |  e[n-1]
-        --------------
-        |  e[n] = NULL
-        --------------
-        |  ...
-        --------------
-        |  e[maxsize] - n+1 or NULL (determines actual size of set)
-        --------------
-
-*/
-
-/*-- setelemT -- internal type to allow both pointers and indices
-*/
-typedef union setelemT setelemT;
-union setelemT {
-  void    *p;
-  int      i;         /* integer used for e[maxSize] */
-};
-
-struct setT {
-  int maxsize;          /* maximum number of elements (except NULL) */
-  setelemT e[1];        /* array of pointers, tail is NULL */
-                        /* last slot (unless NULL) is actual size+1
-                           e[maxsize]==NULL or e[e[maxsize]-1]==NULL */
-                        /* this may generate a warning since e[] contains
-                           maxsize elements */
-};
-
-/*=========== -constants- =========================*/
-
-/*-<a                                 href="qh-set.htm#TOC"
-  >-----------------------------------</a><a name="SETelemsize">-</a>
-
-  SETelemsize
-    size of a set element in bytes
-*/
-#define SETelemsize ((int)sizeof(setelemT))
-
-
-/*=========== -macros- =========================*/
-
-/*-<a                                 href="qh-set.htm#TOC"
-  >-----------------------------------</a><a name="FOREACHsetelement_">-</a>
-
-   FOREACHsetelement_(type, set, variable)
-     define FOREACH iterator
-
-   declare:
-     assumes *variable and **variablep are declared
-     no space in "variable)" [DEC Alpha cc compiler]
-
-   each iteration:
-     variable is set element
-     variablep is one beyond variable.
-
-   to repeat an element:
-     variablep--; / *repeat* /
-
-   at exit:
-     variable is NULL at end of loop
-
-   example:
-     #define FOREACHfacet_( facets ) FOREACHsetelement_( facetT, facets, facet )
-
-   notes:
-     use FOREACHsetelement_i_() if need index or include NULLs
-
-   WARNING:
-     nested loops can't use the same variable (define another FOREACH)
-
-     needs braces if nested inside another FOREACH
-     this includes intervening blocks, e.g. FOREACH...{ if () FOREACH...} )
-*/
-#define FOREACHsetelement_(type, set, variable) \
-        if (((variable= NULL), set)) for (\
-          variable##p= (type **)&((set)->e[0].p); \
-          (variable= *variable##p++);)
-
-/*-<a                                      href="qh-set.htm#TOC"
-  >----------------------------------------</a><a name="FOREACHsetelement_i_">-</a>
-
-   FOREACHsetelement_i_(type, set, variable)
-     define indexed FOREACH iterator
-
-   declare:
-     type *variable, variable_n, variable_i;
-
-   each iteration:
-     variable is set element, may be NULL
-     variable_i is index, variable_n is qh_setsize()
-
-   to repeat an element:
-     variable_i--; variable_n-- repeats for deleted element
-
-   at exit:
-     variable==NULL and variable_i==variable_n
-
-   example:
-     #define FOREACHfacet_i_( facets ) FOREACHsetelement_i_( facetT, facets, facet )
-
-   WARNING:
-     nested loops can't use the same variable (define another FOREACH)
-
-     needs braces if nested inside another FOREACH
-     this includes intervening blocks, e.g. FOREACH...{ if () FOREACH...} )
-*/
-#define FOREACHsetelement_i_(type, set, variable) \
-        if (((variable= NULL), set)) for (\
-          variable##_i= 0, variable= (type *)((set)->e[0].p), \
-                   variable##_n= qh_setsize(set);\
-          variable##_i < variable##_n;\
-          variable= (type *)((set)->e[++variable##_i].p) )
-
-/*-<a                                    href="qh-set.htm#TOC"
-  >--------------------------------------</a><a name="FOREACHsetelementreverse_">-</a>
-
-   FOREACHsetelementreverse_(type, set, variable)-
-     define FOREACH iterator in reverse order
-
-   declare:
-     assumes *variable and **variablep are declared
-     also declare 'int variabletemp'
-
-   each iteration:
-     variable is set element
-
-   to repeat an element:
-     variabletemp++; / *repeat* /
-
-   at exit:
-     variable is NULL
-
-   example:
-     #define FOREACHvertexreverse_( vertices ) FOREACHsetelementreverse_( vertexT, vertices, vertex )
-
-   notes:
-     use FOREACHsetelementreverse12_() to reverse first two elements
-     WARNING: needs braces if nested inside another FOREACH
-*/
-#define FOREACHsetelementreverse_(type, set, variable) \
-        if (((variable= NULL), set)) for (\
-           variable##temp= qh_setsize(set)-1, variable= qh_setlast(set);\
-           variable; variable= \
-           ((--variable##temp >= 0) ? SETelemt_(set, variable##temp, type) : NULL))
-
-/*-<a                                 href="qh-set.htm#TOC"
-  >-----------------------------------</a><a name="FOREACHsetelementreverse12_">-</a>
-
-   FOREACHsetelementreverse12_(type, set, variable)-
-     define FOREACH iterator with e[1] and e[0] reversed
-
-   declare:
-     assumes *variable and **variablep are declared
-
-   each iteration:
-     variable is set element
-     variablep is one after variable.
-
-   to repeat an element:
-     variablep--; / *repeat* /
-
-   at exit:
-     variable is NULL at end of loop
-
-   example
-     #define FOREACHvertexreverse12_( vertices ) FOREACHsetelementreverse12_( vertexT, vertices, vertex )
-
-   notes:
-     WARNING: needs braces if nested inside another FOREACH
-*/
-#define FOREACHsetelementreverse12_(type, set, variable) \
-        if (((variable= NULL), set)) for (\
-          variable##p= (type **)&((set)->e[1].p); \
-          (variable= *variable##p); \
-          variable##p == ((type **)&((set)->e[0].p))?variable##p += 2: \
-              (variable##p == ((type **)&((set)->e[1].p))?variable##p--:variable##p++))
-
-/*-<a                                 href="qh-set.htm#TOC"
-  >-----------------------------------</a><a name="FOREACHelem_">-</a>
-
-   FOREACHelem_( set )-
-     iterate elements in a set
-
-   declare:
-     void *elem, *elemp;
-
-   each iteration:
-     elem is set element
-     elemp is one beyond
-
-   to repeat an element:
-     elemp--; / *repeat* /
-
-   at exit:
-     elem == NULL at end of loop
-
-   example:
-     FOREACHelem_(set) {
-
-   notes:
-     WARNING: needs braces if nested inside another FOREACH
-*/
-#define FOREACHelem_(set) FOREACHsetelement_(void, set, elem)
-
-/*-<a                                 href="qh-set.htm#TOC"
-  >-----------------------------------</a><a name="FOREACHset_">-</a>
-
-   FOREACHset_( set )-
-     iterate a set of sets
-
-   declare:
-     setT *set, **setp;
-
-   each iteration:
-     set is set element
-     setp is one beyond
-
-   to repeat an element:
-     setp--; / *repeat* /
-
-   at exit:
-     set == NULL at end of loop
-
-   example
-     FOREACHset_(sets) {
-
-   notes:
-     WARNING: needs braces if nested inside another FOREACH
-*/
-#define FOREACHset_(sets) FOREACHsetelement_(setT, sets, set)
-
-/*-<a                                       href="qh-set.htm#TOC"
-  >-----------------------------------------</a><a name="SETindex_">-</a>
-
-   SETindex_( set, elem )
-     return index of elem in set
-
-   notes:
-     for use with FOREACH iteration
-     WARN64 -- Maximum set size is 2G
-
-   example:
-     i= SETindex_(ridges, ridge)
-*/
-#define SETindex_(set, elem) ((int)((void **)elem##p - (void **)&(set)->e[1].p))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETref_">-</a>
-
-   SETref_( elem )
-     l.h.s. for modifying the current element in a FOREACH iteration
-
-   example:
-     SETref_(ridge)= anotherridge;
-*/
-#define SETref_(elem) (elem##p[-1])
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETelem_">-</a>
-
-   SETelem_(set, n)
-     return the n'th element of set
-
-   notes:
-      assumes that n is valid [0..size] and that set is defined
-      use SETelemt_() for type cast
-*/
-#define SETelem_(set, n)           ((set)->e[n].p)
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETelemt_">-</a>
-
-   SETelemt_(set, n, type)
-     return the n'th element of set as a type
-
-   notes:
-      assumes that n is valid [0..size] and that set is defined
-*/
-#define SETelemt_(set, n, type)    ((type*)((set)->e[n].p))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETelemaddr_">-</a>
-
-   SETelemaddr_(set, n, type)
-     return address of the n'th element of a set
-
-   notes:
-      assumes that n is valid [0..size] and set is defined
-*/
-#define SETelemaddr_(set, n, type) ((type **)(&((set)->e[n].p)))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETfirst_">-</a>
-
-   SETfirst_(set)
-     return first element of set
-
-*/
-#define SETfirst_(set)             ((set)->e[0].p)
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETfirstt_">-</a>
-
-   SETfirstt_(set, type)
-     return first element of set as a type
-
-*/
-#define SETfirstt_(set, type)      ((type*)((set)->e[0].p))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETsecond_">-</a>
-
-   SETsecond_(set)
-     return second element of set
-
-*/
-#define SETsecond_(set)            ((set)->e[1].p)
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETsecondt_">-</a>
-
-   SETsecondt_(set, type)
-     return second element of set as a type
-*/
-#define SETsecondt_(set, type)     ((type*)((set)->e[1].p))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETaddr_">-</a>
-
-   SETaddr_(set, type)
-       return address of set's elements
-*/
-#define SETaddr_(set,type)         ((type **)(&((set)->e[0].p)))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETreturnsize_">-</a>
-
-   SETreturnsize_(set, size)
-     return size of a set
-
-   notes:
-      set must be defined
-      use qh_setsize(set) unless speed is critical
-*/
-#define SETreturnsize_(set, size) (((size)= ((set)->e[(set)->maxsize].i))?(--(size)):((size)= (set)->maxsize))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETempty_">-</a>
-
-   SETempty_(set)
-     return true(1) if set is empty
-
-   notes:
-      set may be NULL
-*/
-#define SETempty_(set)            (!set || (SETfirst_(set) ? 0 : 1))
-
-/*-<a                             href="qh-set.htm#TOC"
-  >-------------------------------<a name="SETsizeaddr_">-</a>
-
-  SETsizeaddr_(set)
-    return pointer to 'actual size+1' of set (set CANNOT be NULL!!)
-    Its type is setelemT* for strict aliasing
-    All SETelemaddr_ must be cast to setelemT
-
-
-  notes:
-    *SETsizeaddr==NULL or e[*SETsizeaddr-1].p==NULL
-*/
-#define SETsizeaddr_(set) (&((set)->e[(set)->maxsize]))
-
-/*-<a                                     href="qh-set.htm#TOC"
-  >---------------------------------------</a><a name="SETtruncate_">-</a>
-
-   SETtruncate_(set, size)
-     truncate set to size
-
-   see:
-     qh_settruncate()
-
-*/
-#define SETtruncate_(set, size) {set->e[set->maxsize].i= size+1; /* maybe overwritten */ \
-      set->e[size].p= NULL;}
-
-/*======= prototypes in alphabetical order ============*/
-
-void  qh_setaddsorted(setT **setp, void *elem);
-void  qh_setaddnth(setT **setp, int nth, void *newelem);
-void  qh_setappend(setT **setp, void *elem);
-void  qh_setappend_set(setT **setp, setT *setA);
-void  qh_setappend2ndlast(setT **setp, void *elem);
-void  qh_setcheck(setT *set, const char *tname, unsigned id);
-void  qh_setcompact(setT *set);
-setT *qh_setcopy(setT *set, int extra);
-void *qh_setdel(setT *set, void *elem);
-void *qh_setdellast(setT *set);
-void *qh_setdelnth(setT *set, int nth);
-void *qh_setdelnthsorted(setT *set, int nth);
-void *qh_setdelsorted(setT *set, void *newelem);
-setT *qh_setduplicate( setT *set, int elemsize);
-int   qh_setequal(setT *setA, setT *setB);
-int   qh_setequal_except(setT *setA, void *skipelemA, setT *setB, void *skipelemB);
-int   qh_setequal_skip(setT *setA, int skipA, setT *setB, int skipB);
-void **qh_setendpointer(setT *set);
-void  qh_setfree(setT **set);
-void  qh_setfree2( setT **setp, int elemsize);
-void  qh_setfreelong(setT **set);
-int   qh_setin(setT *set, void *setelem);
-int   qh_setindex(setT *set, void *setelem);
-void  qh_setlarger(setT **setp);
-void *qh_setlast(setT *set);
-setT *qh_setnew(int size);
-setT *qh_setnew_delnthsorted(setT *set, int size, int nth, int prepend);
-void  qh_setprint(FILE *fp, const char* string, setT *set);
-void  qh_setreplace(setT *set, void *oldelem, void *newelem);
-int   qh_setsize(setT *set);
-setT *qh_settemp(int setsize);
-void  qh_settempfree(setT **set);
-void  qh_settempfree_all(void);
-setT *qh_settemppop(void);
-void  qh_settemppush(setT *set);
-void  qh_settruncate(setT *set, int size);
-int   qh_setunique(setT **set, void *elem);
-void  qh_setzero(setT *set, int idx, int size);
-
-
-#endif /* qhDEFset */
diff --git a/extern/qhull/random.c b/extern/qhull/random.c
deleted file mode 100644
index 21b15025afd6..000000000000
--- a/extern/qhull/random.c
+++ /dev/null
@@ -1,243 +0,0 @@
-/*<html><pre>  -<a                             href="index.htm#TOC"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   random.c -- utilities
-     Park & Miller's minimimal standard random number generator
-     argc/argv conversion
-
-     Used by rbox.  Do not use 'qh'
-*/
-
-#include "libqhull.h"
-#include <string.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-#ifdef _MSC_VER  /* Microsoft Visual C++ -- warning level 4 */
-#pragma warning( disable : 4706)  /* assignment within conditional function */
-#pragma warning( disable : 4996)  /* function was declared deprecated(strcpy, localtime, etc.) */
-#endif
-
-/*-<a                             href="qh-globa.htm#TOC"
- >-------------------------------</a><a name="argv_to_command">-</a>
-
- qh_argv_to_command( argc, argv, command, max_size )
-
-    build command from argc/argv
-    max_size is at least
-
- returns:
-    a space-delimited string of options (just as typed)
-    returns false if max_size is too short
-
- notes:
-    silently removes
-    makes option string easy to input and output
-    matches qh_argv_to_command_size()
-
-    argc may be 0
-*/
-int qh_argv_to_command(int argc, char *argv[], char* command, int max_size) {
-  int i, remaining;
-  char *s;
-  *command= '\0';  /* max_size > 0 */
-
-  if (argc) {
-    if ((s= strrchr( argv[0], '\\')) /* get filename w/o .exe extension */
-    || (s= strrchr( argv[0], '/')))
-        s++;
-    else
-        s= argv[0];
-    if ((int)strlen(s) < max_size)   /* WARN64 */
-        strcpy(command, s);
-    else
-        goto error_argv;
-    if ((s= strstr(command, ".EXE"))
-    ||  (s= strstr(command, ".exe")))
-        *s= '\0';
-  }
-  for (i=1; i < argc; i++) {
-    s= argv[i];
-    remaining= max_size - (int)strlen(command) - (int)strlen(s) - 2;   /* WARN64 */
-    if (!*s || strchr(s, ' ')) {
-      char *t= command + strlen(command);
-      remaining -= 2;
-      if (remaining < 0) {
-        goto error_argv;
-      }
-      *t++= ' ';
-      *t++= '"';
-      while (*s) {
-        if (*s == '"') {
-          if (--remaining < 0)
-            goto error_argv;
-          *t++= '\\';
-        }
-        *t++= *s++;
-      }
-      *t++= '"';
-      *t= '\0';
-    }else if (remaining < 0) {
-      goto error_argv;
-    }else
-      strcat(command, " ");
-      strcat(command, s);
-  }
-  return 1;
-
-error_argv:
-  return 0;
-} /* argv_to_command */
-
-/*-<a                             href="qh-globa.htm#TOC"
->-------------------------------</a><a name="argv_to_command_size">-</a>
-
-qh_argv_to_command_size( argc, argv )
-
-    return size to allocate for qh_argv_to_command()
-
-notes:
-    argc may be 0
-    actual size is usually shorter
-*/
-int qh_argv_to_command_size(int argc, char *argv[]) {
-    unsigned int count= 1; /* null-terminator if argc==0 */
-    int i;
-    char *s;
-
-    for (i=0; i<argc; i++){
-      count += (int)strlen(argv[i]) + 1;   /* WARN64 */
-      if (i>0 && strchr(argv[i], ' ')) {
-        count += 2;  /* quote delimiters */
-        for (s=argv[i]; *s; s++) {
-          if (*s == '"') {
-            count++;
-          }
-        }
-      }
-    }
-    return count;
-} /* argv_to_command_size */
-
-/*-<a                             href="qh-geom.htm#TOC"
-  >-------------------------------</a><a name="rand">-</a>
-
-  qh_rand()
-  qh_srand( seed )
-    generate pseudo-random number between 1 and 2^31 -2
-
-  notes:
-    For qhull and rbox, called from qh_RANDOMint(),etc. [user.h]
-
-    From Park & Miller's minimal standard random number generator
-      Communications of the ACM, 31:1192-1201, 1988.
-    Does not use 0 or 2^31 -1
-      this is silently enforced by qh_srand()
-    Can make 'Rn' much faster by moving qh_rand to qh_distplane
-*/
-
-/* Global variables and constants */
-
-int qh_rand_seed= 1;  /* define as global variable instead of using qh */
-
-#define qh_rand_a 16807
-#define qh_rand_m 2147483647
-#define qh_rand_q 127773  /* m div a */
-#define qh_rand_r 2836    /* m mod a */
-
-int qh_rand( void) {
-    int lo, hi, test;
-    int seed = qh_rand_seed;
-
-    hi = seed / qh_rand_q;  /* seed div q */
-    lo = seed % qh_rand_q;  /* seed mod q */
-    test = qh_rand_a * lo - qh_rand_r * hi;
-    if (test > 0)
-        seed= test;
-    else
-        seed= test + qh_rand_m;
-    qh_rand_seed= seed;
-    /* seed = seed < qh_RANDOMmax/2 ? 0 : qh_RANDOMmax;  for testing */
-    /* seed = qh_RANDOMmax;  for testing */
-    return seed;
-} /* rand */
-
-void qh_srand( int seed) {
-    if (seed < 1)
-        qh_rand_seed= 1;
-    else if (seed >= qh_rand_m)
-        qh_rand_seed= qh_rand_m - 1;
-    else
-        qh_rand_seed= seed;
-} /* qh_srand */
-
-/*-<a                             href="qh-geom.htm#TOC"
->-------------------------------</a><a name="randomfactor">-</a>
-
-qh_randomfactor( scale, offset )
-return a random factor r * scale + offset
-
-notes:
-qh.RANDOMa/b are defined in global.c
-*/
-realT qh_randomfactor(realT scale, realT offset) {
-    realT randr;
-
-    randr= qh_RANDOMint;
-    return randr * scale + offset;
-} /* randomfactor */
-
-/*-<a                             href="qh-geom.htm#TOC"
->-------------------------------</a><a name="randommatrix">-</a>
-
-qh_randommatrix( buffer, dim, rows )
-generate a random dim X dim matrix in range [-1,1]
-assumes buffer is [dim+1, dim]
-
-returns:
-sets buffer to random numbers
-sets rows to rows of buffer
-sets row[dim] as scratch row
-*/
-void qh_randommatrix(realT *buffer, int dim, realT **rows) {
-    int i, k;
-    realT **rowi, *coord, realr;
-
-    coord= buffer;
-    rowi= rows;
-    for (i=0; i < dim; i++) {
-        *(rowi++)= coord;
-        for (k=0; k < dim; k++) {
-            realr= qh_RANDOMint;
-            *(coord++)= 2.0 * realr/(qh_RANDOMmax+1) - 1.0;
-        }
-    }
-    *rowi= coord;
-} /* randommatrix */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="strtol">-</a>
-
-  qh_strtol( s, endp) qh_strtod( s, endp)
-    internal versions of strtol() and strtod()
-    does not skip trailing spaces
-  notes:
-    some implementations of strtol()/strtod() skip trailing spaces
-*/
-double qh_strtod(const char *s, char **endp) {
-  double result;
-
-  result= strtod(s, endp);
-  if (s < (*endp) && (*endp)[-1] == ' ')
-    (*endp)--;
-  return result;
-} /* strtod */
-
-int qh_strtol(const char *s, char **endp) {
-  int result;
-
-  result= (int) strtol(s, endp, 10);     /* WARN64 */
-  if (s< (*endp) && (*endp)[-1] == ' ')
-    (*endp)--;
-  return result;
-} /* strtol */
diff --git a/extern/qhull/random.h b/extern/qhull/random.h
deleted file mode 100644
index e1e29270419a..000000000000
--- a/extern/qhull/random.h
+++ /dev/null
@@ -1,31 +0,0 @@
-/*<html><pre>  -<a                             href="qh-geom.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-  random.h
-    header file for random routines
-
-   see qh-geom.htm and random.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/random.h#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#ifndef qhDEFrandom
-#define qhDEFrandom 1
-
-#include "libqhull.h"
-
-/*============= prototypes in alphabetical order ======= */
-
-
-int     qh_argv_to_command(int argc, char *argv[], char* command, int max_size);
-int     qh_argv_to_command_size(int argc, char *argv[]);
-int     qh_rand( void);
-void    qh_srand( int seed);
-realT   qh_randomfactor(realT scale, realT offset);
-void    qh_randommatrix(realT *buffer, int dim, realT **row);
-int     qh_strtol(const char *s, char **endp);
-double  qh_strtod(const char *s, char **endp);
-
-#endif /* qhDEFrandom */
diff --git a/extern/qhull/rboxlib.c b/extern/qhull/rboxlib.c
deleted file mode 100644
index 0122563f7062..000000000000
--- a/extern/qhull/rboxlib.c
+++ /dev/null
@@ -1,794 +0,0 @@
-/*<html><pre>  -<a                             href="index.htm#TOC"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   rboxlib.c
-     Generate input points
-
-   notes:
-     For documentation, see prompt[] of rbox.c
-     50 points generated for 'rbox D4'
-
-   WARNING:
-     incorrect range if qh_RANDOMmax is defined wrong (user.h)
-*/
-
-#include "random.h"
-#include "libqhull.h"
-
-#include <ctype.h>
-#include <limits.h>
-#include <math.h>
-#include <setjmp.h>
-#include <string.h>
-#include <time.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-#ifdef _MSC_VER  /* Microsoft Visual C++ */
-#pragma warning( disable : 4706)  /* assignment within conditional expression. */
-#pragma warning( disable : 4996)  /* this function (strncat,sprintf,strcpy) or variable may be unsafe. */
-#endif
-
-#define MAXdim 200
-#define PI 3.1415926535897932384
-
-/* ------------------------------ prototypes ----------------*/
-int roundi( double a);
-void out1( double a);
-void out2n( double a, double b);
-void out3n( double a, double b, double c);
-
-void    qh_fprintf_rbox(FILE *fp, int msgcode, const char *fmt, ... );
-void    qh_free(void *mem);
-void   *qh_malloc(size_t size);
-int     qh_rand( void);
-void    qh_srand( int seed);
-
-
-/* ------------------------------ globals -------------------*/
-
-/* No state is carried between rbox requests */
-typedef struct rboxT rboxT;
-struct rboxT {
-  FILE *fout;
-  FILE *ferr;
-  int isinteger;
-  double out_offset;
-  jmp_buf errexit;        /* exit label for rboxpoints, defined by setjmp(), called by qh_errexit_rbox() */
-};
-
-
-int rbox_inuse= 0;
-rboxT rbox;
-
-/*-<a                             href="qh-qhull.htm#TOC"
-  >-------------------------------</a><a name="rboxpoints">-</a>
-
-  qh_rboxpoints( fout, ferr, rbox_command )
-    Generate points to fout according to rbox options
-    Report errors on ferr
-
-  returns:
-    0 (qh_ERRnone) on success
-    1 (qh_ERRinput) on input error
-    4 (qh_ERRmem) on memory error
-    5 (qh_ERRqhull) on internal error
-
-  notes:
-    To avoid stdio, redefine qh_malloc, qh_free, and qh_fprintf_rbox (user.c)
-    Rbox is not multithreaded.
-
-  design:
-    Straight line code (consider defining a struct and functions):
-
-    Parse arguments into variables
-    Determine the number of points
-    Generate the points
-*/
-int qh_rboxpoints(FILE* fout, FILE* ferr, char* rbox_command) {
-  int i,j,k;
-  int gendim;
-  int cubesize, diamondsize, seed=0, count, apex;
-  int dim=3 , numpoints= 0, totpoints, addpoints=0;
-  int issphere=0, isaxis=0,  iscdd= 0, islens= 0, isregular=0, iswidth=0, addcube=0;
-  int isgap=0, isspiral=0, NOcommand= 0, adddiamond=0;
-  int israndom=0, istime=0;
-  int isbox=0, issimplex=0, issimplex2=0, ismesh=0;
-  double width=0.0, gap=0.0, radius= 0.0;
-  double coord[MAXdim], offset, meshm=3.0, meshn=4.0, meshr=5.0;
-  double *simplex= NULL, *simplexp;
-  int nthroot, mult[MAXdim];
-  double norm, factor, randr, rangap, lensangle= 0, lensbase= 1;
-  double anglediff, angle, x, y, cube= 0.0, diamond= 0.0;
-  double box= qh_DEFAULTbox; /* scale all numbers before output */
-  double randmax= qh_RANDOMmax;
-  char command[200], seedbuf[200];
-  char *s= command, *t, *first_point= NULL;
-  time_t timedata;
-  int exitcode;
-
-  if (rbox_inuse) {
-    qh_fprintf_rbox(rbox.ferr, 6188, "rbox error: rbox in use by another process.  Please lock calls to rbox.\n");
-    return qh_ERRqhull;
-  }
-  rbox_inuse= True;
-  rbox.ferr= ferr;
-  rbox.fout= fout;
-
-  exitcode= setjmp(rbox.errexit);
-  if (exitcode) {
-    /* same code for error exit and normal return */
-    if (simplex)
-        qh_free(simplex);
-    rbox_inuse= False;
-    return exitcode;
-  }
-
-  *command= '\0';
-  strncat(command, rbox_command, sizeof(command)-strlen(command)-1);
-
-  while (*s && !isspace(*s))  /* skip program name */
-    s++;
-  while (*s) {
-    while (*s && isspace(*s))
-      s++;
-    if (*s == '-')
-      s++;
-    if (!*s)
-      break;
-    if (isdigit(*s)) {
-      numpoints= qh_strtol(s, &s);
-      continue;
-    }
-    /* ============= read flags =============== */
-    switch (*s++) {
-    case 'c':
-      addcube= 1;
-      t= s;
-      while (isspace(*t))
-        t++;
-      if (*t == 'G')
-        cube= qh_strtod(++t, &s);
-      break;
-    case 'd':
-      adddiamond= 1;
-      t= s;
-      while (isspace(*t))
-        t++;
-      if (*t == 'G')
-        diamond= qh_strtod(++t, &s);
-      break;
-    case 'h':
-      iscdd= 1;
-      break;
-    case 'l':
-      isspiral= 1;
-      break;
-    case 'n':
-      NOcommand= 1;
-      break;
-    case 'r':
-      isregular= 1;
-      break;
-    case 's':
-      issphere= 1;
-      break;
-    case 't':
-      istime= 1;
-      if (isdigit(*s)) {
-        seed= qh_strtol(s, &s);
-        israndom= 0;
-      }else
-        israndom= 1;
-      break;
-    case 'x':
-      issimplex= 1;
-      break;
-    case 'y':
-      issimplex2= 1;
-      break;
-    case 'z':
-      rbox.isinteger= 1;
-      break;
-    case 'B':
-      box= qh_strtod(s, &s);
-      isbox= 1;
-      break;
-    case 'D':
-      dim= qh_strtol(s, &s);
-      if (dim < 1
-      || dim > MAXdim) {
-        qh_fprintf_rbox(rbox.ferr, 6189, "rbox error: dimension, D%d, out of bounds (>=%d or <=0)", dim, MAXdim);
-        qh_errexit_rbox(qh_ERRinput);
-      }
-      break;
-    case 'G':
-      if (isdigit(*s))
-        gap= qh_strtod(s, &s);
-      else
-        gap= 0.5;
-      isgap= 1;
-      break;
-    case 'L':
-      if (isdigit(*s))
-        radius= qh_strtod(s, &s);
-      else
-        radius= 10;
-      islens= 1;
-      break;
-    case 'M':
-      ismesh= 1;
-      if (*s)
-        meshn= qh_strtod(s, &s);
-      if (*s == ',') {
-        ++s;
-        meshm= qh_strtod(s, &s);
-      }else
-        meshm= 0.0;
-      if (*s == ',') {
-        ++s;
-        meshr= qh_strtod(s, &s);
-      }else
-        meshr= sqrt(meshn*meshn + meshm*meshm);
-      if (*s && !isspace(*s)) {
-        qh_fprintf_rbox(rbox.ferr, 7069, "rbox warning: assuming 'M3,4,5' since mesh args are not integers or reals\n");
-        meshn= 3.0, meshm=4.0, meshr=5.0;
-      }
-      break;
-    case 'O':
-      rbox.out_offset= qh_strtod(s, &s);
-      break;
-    case 'P':
-      if (!first_point)
-        first_point= s-1;
-      addpoints++;
-      while (*s && !isspace(*s))   /* read points later */
-        s++;
-      break;
-    case 'W':
-      width= qh_strtod(s, &s);
-      iswidth= 1;
-      break;
-    case 'Z':
-      if (isdigit(*s))
-        radius= qh_strtod(s, &s);
-      else
-        radius= 1.0;
-      isaxis= 1;
-      break;
-    default:
-      qh_fprintf_rbox(rbox.ferr, 7070, "rbox error: unknown flag at %s.\nExecute 'rbox' without arguments for documentation.\n", s);
-      qh_errexit_rbox(qh_ERRinput);
-    }
-    if (*s && !isspace(*s)) {
-      qh_fprintf_rbox(rbox.ferr, 7071, "rbox error: missing space between flags at %s.\n", s);
-      qh_errexit_rbox(qh_ERRinput);
-    }
-  }
-
-  /* ============= defaults, constants, and sizes =============== */
-  if (rbox.isinteger && !isbox)
-    box= qh_DEFAULTzbox;
-  if (addcube) {
-    cubesize= (int)floor(ldexp(1.0,dim)+0.5);
-    if (cube == 0.0)
-      cube= box;
-  }else
-    cubesize= 0;
-  if (adddiamond) {
-    diamondsize= 2*dim;
-    if (diamond == 0.0)
-      diamond= box;
-  }else
-    diamondsize= 0;
-  if (islens) {
-    if (isaxis) {
-        qh_fprintf_rbox(rbox.ferr, 6190, "rbox error: can not combine 'Ln' with 'Zn'\n");
-        qh_errexit_rbox(qh_ERRinput);
-    }
-    if (radius <= 1.0) {
-        qh_fprintf_rbox(rbox.ferr, 6191, "rbox error: lens radius %.2g should be greater than 1.0\n",
-               radius);
-        qh_errexit_rbox(qh_ERRinput);
-    }
-    lensangle= asin(1.0/radius);
-    lensbase= radius * cos(lensangle);
-  }
-
-  if (!numpoints) {
-    if (issimplex2)
-        ; /* ok */
-    else if (isregular + issimplex + islens + issphere + isaxis + isspiral + iswidth + ismesh) {
-        qh_fprintf_rbox(rbox.ferr, 6192, "rbox error: missing count\n");
-        qh_errexit_rbox(qh_ERRinput);
-    }else if (adddiamond + addcube + addpoints)
-        ; /* ok */
-    else {
-        numpoints= 50;  /* ./rbox D4 is the test case */
-        issphere= 1;
-    }
-  }
-  if ((issimplex + islens + isspiral + ismesh > 1)
-  || (issimplex + issphere + isspiral + ismesh > 1)) {
-    qh_fprintf_rbox(rbox.ferr, 6193, "rbox error: can only specify one of 'l', 's', 'x', 'Ln', or 'Mn,m,r' ('Ln s' is ok).\n");
-    qh_errexit_rbox(qh_ERRinput);
-  }
-
-  /* ============= print header with total points =============== */
-  if (issimplex || ismesh)
-    totpoints= numpoints;
-  else if (issimplex2)
-    totpoints= numpoints+dim+1;
-  else if (isregular) {
-    totpoints= numpoints;
-    if (dim == 2) {
-        if (islens)
-          totpoints += numpoints - 2;
-    }else if (dim == 3) {
-        if (islens)
-          totpoints += 2 * numpoints;
-      else if (isgap)
-        totpoints += 1 + numpoints;
-      else
-        totpoints += 2;
-    }
-  }else
-    totpoints= numpoints + isaxis;
-  totpoints += cubesize + diamondsize + addpoints;
-
-  /* ============= seed randoms =============== */
-  if (istime == 0) {
-    for (s=command; *s; s++) {
-      if (issimplex2 && *s == 'y') /* make 'y' same seed as 'x' */
-        i= 'x';
-      else
-        i= *s;
-      seed= 11*seed + i;
-    }
-  }else if (israndom) {
-    seed= (int)time(&timedata);
-    sprintf(seedbuf, " t%d", seed);  /* appends an extra t, not worth removing */
-    strncat(command, seedbuf, sizeof(command)-strlen(command)-1);
-    t= strstr(command, " t ");
-    if (t)
-      strcpy(t+1, t+3); /* remove " t " */
-  } /* else, seed explicitly set to n */
-  qh_RANDOMseed_(seed);
-
-  /* ============= print header =============== */
-
-  if (iscdd)
-      qh_fprintf_rbox(rbox.fout, 9391, "%s\nbegin\n        %d %d %s\n",
-      NOcommand ? "" : command,
-      totpoints, dim+1,
-      rbox.isinteger ? "integer" : "real");
-  else if (NOcommand)
-      qh_fprintf_rbox(rbox.fout, 9392, "%d\n%d\n", dim, totpoints);
-  else
-      qh_fprintf_rbox(rbox.fout, 9393, "%d %s\n%d\n", dim, command, totpoints);
-
-  /* ============= explicit points =============== */
-  if ((s= first_point)) {
-    while (s && *s) { /* 'P' */
-      count= 0;
-      if (iscdd)
-        out1( 1.0);
-      while (*++s) {
-        out1( qh_strtod(s, &s));
-        count++;
-        if (isspace(*s) || !*s)
-          break;
-        if (*s != ',') {
-          qh_fprintf_rbox(rbox.ferr, 6194, "rbox error: missing comma after coordinate in %s\n\n", s);
-          qh_errexit_rbox(qh_ERRinput);
-        }
-      }
-      if (count < dim) {
-        for (k=dim-count; k--; )
-          out1( 0.0);
-      }else if (count > dim) {
-        qh_fprintf_rbox(rbox.ferr, 6195, "rbox error: %d coordinates instead of %d coordinates in %s\n\n",
-                  count, dim, s);
-        qh_errexit_rbox(qh_ERRinput);
-      }
-      qh_fprintf_rbox(rbox.fout, 9394, "\n");
-      while ((s= strchr(s, 'P'))) {
-        if (isspace(s[-1]))
-          break;
-      }
-    }
-  }
-
-  /* ============= simplex distribution =============== */
-  if (issimplex+issimplex2) {
-    if (!(simplex= (double*)qh_malloc( dim * (dim+1) * sizeof(double)))) {
-      qh_fprintf_rbox(rbox.ferr, 6196, "rbox error: insufficient memory for simplex\n");
-      qh_errexit_rbox(qh_ERRmem); /* qh_ERRmem */
-    }
-    simplexp= simplex;
-    if (isregular) {
-      for (i=0; i<dim; i++) {
-        for (k=0; k<dim; k++)
-          *(simplexp++)= i==k ? 1.0 : 0.0;
-      }
-      for (k=0; k<dim; k++)
-        *(simplexp++)= -1.0;
-    }else {
-      for (i=0; i<dim+1; i++) {
-        for (k=0; k<dim; k++) {
-          randr= qh_RANDOMint;
-          *(simplexp++)= 2.0 * randr/randmax - 1.0;
-        }
-      }
-    }
-    if (issimplex2) {
-        simplexp= simplex;
-      for (i=0; i<dim+1; i++) {
-        if (iscdd)
-          out1( 1.0);
-        for (k=0; k<dim; k++)
-          out1( *(simplexp++) * box);
-        qh_fprintf_rbox(rbox.fout, 9395, "\n");
-      }
-    }
-    for (j=0; j<numpoints; j++) {
-      if (iswidth)
-        apex= qh_RANDOMint % (dim+1);
-      else
-        apex= -1;
-      for (k=0; k<dim; k++)
-        coord[k]= 0.0;
-      norm= 0.0;
-      for (i=0; i<dim+1; i++) {
-        randr= qh_RANDOMint;
-        factor= randr/randmax;
-        if (i == apex)
-          factor *= width;
-        norm += factor;
-        for (k=0; k<dim; k++) {
-          simplexp= simplex + i*dim + k;
-          coord[k] += factor * (*simplexp);
-        }
-      }
-      for (k=0; k<dim; k++)
-        coord[k] /= norm;
-      if (iscdd)
-        out1( 1.0);
-      for (k=0; k < dim; k++)
-        out1( coord[k] * box);
-      qh_fprintf_rbox(rbox.fout, 9396, "\n");
-    }
-    isregular= 0; /* continue with isbox */
-    numpoints= 0;
-  }
-
-  /* ============= mesh distribution =============== */
-  if (ismesh) {
-    nthroot= (int)(pow((double)numpoints, 1.0/dim) + 0.99999);
-    for (k=dim; k--; )
-      mult[k]= 0;
-    for (i=0; i < numpoints; i++) {
-      for (k=0; k < dim; k++) {
-        if (k == 0)
-          out1( mult[0] * meshn + mult[1] * (-meshm));
-        else if (k == 1)
-          out1( mult[0] * meshm + mult[1] * meshn);
-        else
-          out1( mult[k] * meshr );
-      }
-      qh_fprintf_rbox(rbox.fout, 9397, "\n");
-      for (k=0; k < dim; k++) {
-        if (++mult[k] < nthroot)
-          break;
-        mult[k]= 0;
-      }
-    }
-  }
-  /* ============= regular points for 's' =============== */
-  else if (isregular && !islens) {
-    if (dim != 2 && dim != 3) {
-      qh_fprintf_rbox(rbox.ferr, 6197, "rbox error: regular points can be used only in 2-d and 3-d\n\n");
-      qh_errexit_rbox(qh_ERRinput);
-    }
-    if (!isaxis || radius == 0.0) {
-      isaxis= 1;
-      radius= 1.0;
-    }
-    if (dim == 3) {
-      if (iscdd)
-        out1( 1.0);
-      out3n( 0.0, 0.0, -box);
-      if (!isgap) {
-        if (iscdd)
-          out1( 1.0);
-        out3n( 0.0, 0.0, box);
-      }
-    }
-    angle= 0.0;
-    anglediff= 2.0 * PI/numpoints;
-    for (i=0; i < numpoints; i++) {
-      angle += anglediff;
-      x= radius * cos(angle);
-      y= radius * sin(angle);
-      if (dim == 2) {
-        if (iscdd)
-          out1( 1.0);
-        out2n( x*box, y*box);
-      }else {
-        norm= sqrt(1.0 + x*x + y*y);
-        if (iscdd)
-          out1( 1.0);
-        out3n( box*x/norm, box*y/norm, box/norm);
-        if (isgap) {
-          x *= 1-gap;
-          y *= 1-gap;
-          norm= sqrt(1.0 + x*x + y*y);
-          if (iscdd)
-            out1( 1.0);
-          out3n( box*x/norm, box*y/norm, box/norm);
-        }
-      }
-    }
-  }
-  /* ============= regular points for 'r Ln D2' =============== */
-  else if (isregular && islens && dim == 2) {
-    double cos_0;
-
-    angle= lensangle;
-    anglediff= 2 * lensangle/(numpoints - 1);
-    cos_0= cos(lensangle);
-    for (i=0; i < numpoints; i++, angle -= anglediff) {
-      x= radius * sin(angle);
-      y= radius * (cos(angle) - cos_0);
-      if (iscdd)
-        out1( 1.0);
-      out2n( x*box, y*box);
-      if (i != 0 && i != numpoints - 1) {
-        if (iscdd)
-          out1( 1.0);
-        out2n( x*box, -y*box);
-      }
-    }
-  }
-  /* ============= regular points for 'r Ln D3' =============== */
-  else if (isregular && islens && dim != 2) {
-    if (dim != 3) {
-      qh_fprintf_rbox(rbox.ferr, 6198, "rbox error: regular points can be used only in 2-d and 3-d\n\n");
-      qh_errexit_rbox(qh_ERRinput);
-    }
-    angle= 0.0;
-    anglediff= 2* PI/numpoints;
-    if (!isgap) {
-      isgap= 1;
-      gap= 0.5;
-    }
-    offset= sqrt(radius * radius - (1-gap)*(1-gap)) - lensbase;
-    for (i=0; i < numpoints; i++, angle += anglediff) {
-      x= cos(angle);
-      y= sin(angle);
-      if (iscdd)
-        out1( 1.0);
-      out3n( box*x, box*y, 0.0);
-      x *= 1-gap;
-      y *= 1-gap;
-      if (iscdd)
-        out1( 1.0);
-      out3n( box*x, box*y, box * offset);
-      if (iscdd)
-        out1( 1.0);
-      out3n( box*x, box*y, -box * offset);
-    }
-  }
-  /* ============= apex of 'Zn' distribution + gendim =============== */
-  else {
-    if (isaxis) {
-      gendim= dim-1;
-      if (iscdd)
-        out1( 1.0);
-      for (j=0; j < gendim; j++)
-        out1( 0.0);
-      out1( -box);
-      qh_fprintf_rbox(rbox.fout, 9398, "\n");
-    }else if (islens)
-      gendim= dim-1;
-    else
-      gendim= dim;
-    /* ============= generate random point in unit cube =============== */
-    for (i=0; i < numpoints; i++) {
-      norm= 0.0;
-      for (j=0; j < gendim; j++) {
-        randr= qh_RANDOMint;
-        coord[j]= 2.0 * randr/randmax - 1.0;
-        norm += coord[j] * coord[j];
-      }
-      norm= sqrt(norm);
-      /* ============= dim-1 point of 'Zn' distribution ========== */
-      if (isaxis) {
-        if (!isgap) {
-          isgap= 1;
-          gap= 1.0;
-        }
-        randr= qh_RANDOMint;
-        rangap= 1.0 - gap * randr/randmax;
-        factor= radius * rangap / norm;
-        for (j=0; j<gendim; j++)
-          coord[j]= factor * coord[j];
-      /* ============= dim-1 point of 'Ln s' distribution =========== */
-      }else if (islens && issphere) {
-        if (!isgap) {
-          isgap= 1;
-          gap= 1.0;
-        }
-        randr= qh_RANDOMint;
-        rangap= 1.0 - gap * randr/randmax;
-        factor= rangap / norm;
-        for (j=0; j<gendim; j++)
-          coord[j]= factor * coord[j];
-      /* ============= dim-1 point of 'Ln' distribution ========== */
-      }else if (islens && !issphere) {
-        if (!isgap) {
-          isgap= 1;
-          gap= 1.0;
-        }
-        j= qh_RANDOMint % gendim;
-        if (coord[j] < 0)
-          coord[j]= -1.0 - coord[j] * gap;
-        else
-          coord[j]= 1.0 - coord[j] * gap;
-      /* ============= point of 'l' distribution =============== */
-      }else if (isspiral) {
-        if (dim != 3) {
-          qh_fprintf_rbox(rbox.ferr, 6199, "rbox error: spiral distribution is available only in 3d\n\n");
-          longjmp(rbox.errexit,qh_ERRinput);
-        }
-        coord[0]= cos(2*PI*i/(numpoints - 1));
-        coord[1]= sin(2*PI*i/(numpoints - 1));
-        coord[2]= 2.0*(double)i/(double)(numpoints-1) - 1.0;
-      /* ============= point of 's' distribution =============== */
-      }else if (issphere) {
-        factor= 1.0/norm;
-        if (iswidth) {
-          randr= qh_RANDOMint;
-          factor *= 1.0 - width * randr/randmax;
-        }
-        for (j=0; j<dim; j++)
-          coord[j]= factor * coord[j];
-      }
-      /* ============= project 'Zn s' point in to sphere =============== */
-      if (isaxis && issphere) {
-        coord[dim-1]= 1.0;
-        norm= 1.0;
-        for (j=0; j<gendim; j++)
-          norm += coord[j] * coord[j];
-        norm= sqrt(norm);
-        for (j=0; j<dim; j++)
-          coord[j]= coord[j] / norm;
-        if (iswidth) {
-          randr= qh_RANDOMint;
-          coord[dim-1] *= 1 - width * randr/randmax;
-        }
-      /* ============= project 'Zn' point onto cube =============== */
-      }else if (isaxis && !issphere) {  /* not very interesting */
-        randr= qh_RANDOMint;
-        coord[dim-1]= 2.0 * randr/randmax - 1.0;
-      /* ============= project 'Ln' point out to sphere =============== */
-      }else if (islens) {
-        coord[dim-1]= lensbase;
-        for (j=0, norm= 0; j<dim; j++)
-          norm += coord[j] * coord[j];
-        norm= sqrt(norm);
-        for (j=0; j<dim; j++)
-          coord[j]= coord[j] * radius/ norm;
-        coord[dim-1] -= lensbase;
-        if (iswidth) {
-          randr= qh_RANDOMint;
-          coord[dim-1] *= 1 - width * randr/randmax;
-        }
-        if (qh_RANDOMint > randmax/2)
-          coord[dim-1]= -coord[dim-1];
-      /* ============= project 'Wn' point toward boundary =============== */
-      }else if (iswidth && !issphere) {
-        j= qh_RANDOMint % gendim;
-        if (coord[j] < 0)
-          coord[j]= -1.0 - coord[j] * width;
-        else
-          coord[j]= 1.0 - coord[j] * width;
-      }
-      /* ============= write point =============== */
-      if (iscdd)
-        out1( 1.0);
-      for (k=0; k < dim; k++)
-        out1( coord[k] * box);
-      qh_fprintf_rbox(rbox.fout, 9399, "\n");
-    }
-  }
-
-  /* ============= write cube vertices =============== */
-  if (addcube) {
-    for (j=0; j<cubesize; j++) {
-      if (iscdd)
-        out1( 1.0);
-      for (k=dim-1; k>=0; k--) {
-        if (j & ( 1 << k))
-          out1( cube);
-        else
-          out1( -cube);
-      }
-      qh_fprintf_rbox(rbox.fout, 9400, "\n");
-    }
-  }
-
-  /* ============= write diamond vertices =============== */
-  if (adddiamond) {
-    for (j=0; j<diamondsize; j++) {
-      if (iscdd)
-        out1( 1.0);
-      for (k=dim-1; k>=0; k--) {
-        if (j/2 != k)
-          out1( 0.0);
-        else if (j & 0x1)
-          out1( diamond);
-        else
-          out1( -diamond);
-      }
-      qh_fprintf_rbox(rbox.fout, 9401, "\n");
-    }
-  }
-
-  if (iscdd)
-    qh_fprintf_rbox(rbox.fout, 9402, "end\nhull\n");
-
-  /* same code for error exit and normal return */
-  if (simplex)
-    qh_free(simplex);
-  rbox_inuse= False;
-  return qh_ERRnone;
-} /* rboxpoints */
-
-/*------------------------------------------------
-outxxx - output functions
-*/
-int roundi( double a) {
-  if (a < 0.0) {
-    if (a - 0.5 < INT_MIN) {
-      qh_fprintf_rbox(rbox.ferr, 6200, "rbox input error: negative coordinate %2.2g is too large.  Reduce 'Bn'\n", a);
-      qh_errexit_rbox(qh_ERRinput);
-    }
-    return (int)(a - 0.5);
-  }else {
-    if (a + 0.5 > INT_MAX) {
-      qh_fprintf_rbox(rbox.ferr, 6201, "rbox input error: coordinate %2.2g is too large.  Reduce 'Bn'\n", a);
-      qh_errexit_rbox(qh_ERRinput);
-    }
-    return (int)(a + 0.5);
-  }
-} /* roundi */
-
-void out1(double a) {
-
-  if (rbox.isinteger)
-    qh_fprintf_rbox(rbox.fout, 9403, "%d ", roundi( a+rbox.out_offset));
-  else
-    qh_fprintf_rbox(rbox.fout, 9404, qh_REAL_1, a+rbox.out_offset);
-} /* out1 */
-
-void out2n( double a, double b) {
-
-  if (rbox.isinteger)
-    qh_fprintf_rbox(rbox.fout, 9405, "%d %d\n", roundi(a+rbox.out_offset), roundi(b+rbox.out_offset));
-  else
-    qh_fprintf_rbox(rbox.fout, 9406, qh_REAL_2n, a+rbox.out_offset, b+rbox.out_offset);
-} /* out2n */
-
-void out3n( double a, double b, double c) {
-
-  if (rbox.isinteger)
-    qh_fprintf_rbox(rbox.fout, 9407, "%d %d %d\n", roundi(a+rbox.out_offset), roundi(b+rbox.out_offset), roundi(c+rbox.out_offset));
-  else
-    qh_fprintf_rbox(rbox.fout, 9408, qh_REAL_3n, a+rbox.out_offset, b+rbox.out_offset, c+rbox.out_offset);
-} /* out3n */
-
-void qh_errexit_rbox(int exitcode)
-{
-    longjmp(rbox.errexit, exitcode);
-} /* rbox_errexit */
diff --git a/extern/qhull/stat.c b/extern/qhull/stat.c
deleted file mode 100644
index 50ed9a291568..000000000000
--- a/extern/qhull/stat.c
+++ /dev/null
@@ -1,713 +0,0 @@
-/*<html><pre>  -<a                             href="qh-stat.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   stat.c
-   contains all statistics that are collected for qhull
-
-   see qh-stat.htm and stat.h
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/stat.c#3 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-*/
-
-#include "qhull_a.h"
-
-/*============ global data structure ==========*/
-
-#if qh_QHpointer
-qhstatT *qh_qhstat=NULL;  /* global data structure */
-#else
-qhstatT qh_qhstat;   /* add "={0}" if this causes a compiler error */
-#endif
-
-/*========== functions in alphabetic order ================*/
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="allstatA">-</a>
-
-  qh_allstatA()
-    define statistics in groups of 20
-
-  notes:
-    (otherwise, 'gcc -O2' uses too much memory)
-    uses qhstat.next
-*/
-void qh_allstatA(void) {
-
-   /* zdef_(type,name,doc,average) */
-  zzdef_(zdoc, Zdoc2, "precision statistics", -1);
-  zdef_(zinc, Znewvertex, NULL, -1);
-  zdef_(wadd, Wnewvertex, "ave. distance of a new vertex to a facet(!0s)", Znewvertex);
-  zzdef_(wmax, Wnewvertexmax, "max. distance of a new vertex to a facet", -1);
-  zdef_(wmax, Wvertexmax, "max. distance of an output vertex to a facet", -1);
-  zdef_(wmin, Wvertexmin, "min. distance of an output vertex to a facet", -1);
-  zdef_(wmin, Wmindenom, "min. denominator in hyperplane computation", -1);
-
-  qhstat precision= qhstat next;  /* call qh_precision for each of these */
-  zzdef_(zdoc, Zdoc3, "precision problems (corrected unless 'Q0' or an error)", -1);
-  zzdef_(zinc, Zcoplanarridges, "coplanar half ridges in output", -1);
-  zzdef_(zinc, Zconcaveridges, "concave half ridges in output", -1);
-  zzdef_(zinc, Zflippedfacets, "flipped facets", -1);
-  zzdef_(zinc, Zcoplanarhorizon, "coplanar horizon facets for new vertices", -1);
-  zzdef_(zinc, Zcoplanarpart, "coplanar points during partitioning", -1);
-  zzdef_(zinc, Zminnorm, "degenerate hyperplanes recomputed with gaussian elimination", -1);
-  zzdef_(zinc, Znearlysingular, "nearly singular or axis-parallel hyperplanes", -1);
-  zzdef_(zinc, Zback0, "zero divisors during back substitute", -1);
-  zzdef_(zinc, Zgauss0, "zero divisors during gaussian elimination", -1);
-  zzdef_(zinc, Zmultiridge, "ridges with multiple neighbors", -1);
-}
-void qh_allstatB(void) {
-  zzdef_(zdoc, Zdoc1, "summary information", -1);
-  zdef_(zinc, Zvertices, "number of vertices in output", -1);
-  zdef_(zinc, Znumfacets, "number of facets in output", -1);
-  zdef_(zinc, Znonsimplicial, "number of non-simplicial facets in output", -1);
-  zdef_(zinc, Znowsimplicial, "number of simplicial facets that were merged", -1);
-  zdef_(zinc, Znumridges, "number of ridges in output", -1);
-  zdef_(zadd, Znumridges, "average number of ridges per facet", Znumfacets);
-  zdef_(zmax, Zmaxridges, "maximum number of ridges", -1);
-  zdef_(zadd, Znumneighbors, "average number of neighbors per facet", Znumfacets);
-  zdef_(zmax, Zmaxneighbors, "maximum number of neighbors", -1);
-  zdef_(zadd, Znumvertices, "average number of vertices per facet", Znumfacets);
-  zdef_(zmax, Zmaxvertices, "maximum number of vertices", -1);
-  zdef_(zadd, Znumvneighbors, "average number of neighbors per vertex", Zvertices);
-  zdef_(zmax, Zmaxvneighbors, "maximum number of neighbors", -1);
-  zdef_(wadd, Wcpu, "cpu seconds for qhull after input", -1);
-  zdef_(zinc, Ztotvertices, "vertices created altogether", -1);
-  zzdef_(zinc, Zsetplane, "facets created altogether", -1);
-  zdef_(zinc, Ztotridges, "ridges created altogether", -1);
-  zdef_(zinc, Zpostfacets, "facets before post merge", -1);
-  zdef_(zadd, Znummergetot, "average merges per facet(at most 511)", Znumfacets);
-  zdef_(zmax, Znummergemax, "  maximum merges for a facet(at most 511)", -1);
-  zdef_(zinc, Zangle, NULL, -1);
-  zdef_(wadd, Wangle, "average angle(cosine) of facet normals for all ridges", Zangle);
-  zdef_(wmax, Wanglemax, "  maximum angle(cosine) of facet normals across a ridge", -1);
-  zdef_(wmin, Wanglemin, "  minimum angle(cosine) of facet normals across a ridge", -1);
-  zdef_(wadd, Wareatot, "total area of facets", -1);
-  zdef_(wmax, Wareamax, "  maximum facet area", -1);
-  zdef_(wmin, Wareamin, "  minimum facet area", -1);
-}
-void qh_allstatC(void) {
-  zdef_(zdoc, Zdoc9, "build hull statistics", -1);
-  zzdef_(zinc, Zprocessed, "points processed", -1);
-  zzdef_(zinc, Zretry, "retries due to precision problems", -1);
-  zdef_(wmax, Wretrymax, "  max. random joggle", -1);
-  zdef_(zmax, Zmaxvertex, "max. vertices at any one time", -1);
-  zdef_(zinc, Ztotvisible, "ave. visible facets per iteration", Zprocessed);
-  zdef_(zinc, Zinsidevisible, "  ave. visible facets without an horizon neighbor", Zprocessed);
-  zdef_(zadd, Zvisfacettot,  "  ave. facets deleted per iteration", Zprocessed);
-  zdef_(zmax, Zvisfacetmax,  "    maximum", -1);
-  zdef_(zadd, Zvisvertextot, "ave. visible vertices per iteration", Zprocessed);
-  zdef_(zmax, Zvisvertexmax, "    maximum", -1);
-  zdef_(zinc, Ztothorizon, "ave. horizon facets per iteration", Zprocessed);
-  zdef_(zadd, Znewfacettot,  "ave. new or merged facets per iteration", Zprocessed);
-  zdef_(zmax, Znewfacetmax,  "    maximum(includes initial simplex)", -1);
-  zdef_(wadd, Wnewbalance, "average new facet balance", Zprocessed);
-  zdef_(wadd, Wnewbalance2, "  standard deviation", -1);
-  zdef_(wadd, Wpbalance, "average partition balance", Zpbalance);
-  zdef_(wadd, Wpbalance2, "  standard deviation", -1);
-  zdef_(zinc, Zpbalance, "  number of trials", -1);
-  zdef_(zinc, Zsearchpoints, "searches of all points for initial simplex", -1);
-  zdef_(zinc, Zdetsimplex, "determinants computed(area & initial hull)", -1);
-  zdef_(zinc, Znoarea, "determinants not computed because vertex too low", -1);
-  zdef_(zinc, Znotmax, "points ignored(!above max_outside)", -1);
-  zdef_(zinc, Znotgood, "points ignored(!above a good facet)", -1);
-  zdef_(zinc, Znotgoodnew, "points ignored(didn't create a good new facet)", -1);
-  zdef_(zinc, Zgoodfacet, "good facets found", -1);
-  zzdef_(zinc, Znumvisibility, "distance tests for facet visibility", -1);
-  zdef_(zinc, Zdistvertex, "distance tests to report minimum vertex", -1);
-  zzdef_(zinc, Ztotcheck, "points checked for facets' outer planes", -1);
-  zzdef_(zinc, Zcheckpart, "  ave. distance tests per check", Ztotcheck);
-}
-void qh_allstatD(void) {
-  zdef_(zinc, Zvisit, "resets of visit_id", -1);
-  zdef_(zinc, Zvvisit, "  resets of vertex_visit", -1);
-  zdef_(zmax, Zvisit2max, "  max visit_id/2", -1);
-  zdef_(zmax, Zvvisit2max, "  max vertex_visit/2", -1);
-
-  zdef_(zdoc, Zdoc4, "partitioning statistics(see previous for outer planes)", -1);
-  zzdef_(zadd, Zdelvertextot, "total vertices deleted", -1);
-  zdef_(zmax, Zdelvertexmax, "    maximum vertices deleted per iteration", -1);
-  zdef_(zinc, Zfindbest, "calls to findbest", -1);
-  zdef_(zadd, Zfindbesttot, " ave. facets tested", Zfindbest);
-  zdef_(zmax, Zfindbestmax, " max. facets tested", -1);
-  zdef_(zadd, Zfindcoplanar, " ave. coplanar search", Zfindbest);
-  zdef_(zinc, Zfindnew, "calls to findbestnew", -1);
-  zdef_(zadd, Zfindnewtot, " ave. facets tested", Zfindnew);
-  zdef_(zmax, Zfindnewmax, " max. facets tested", -1);
-  zdef_(zinc, Zfindnewjump, " ave. clearly better", Zfindnew);
-  zdef_(zinc, Zfindnewsharp, " calls due to qh_sharpnewfacets", -1);
-  zdef_(zinc, Zfindhorizon, "calls to findhorizon", -1);
-  zdef_(zadd, Zfindhorizontot, " ave. facets tested", Zfindhorizon);
-  zdef_(zmax, Zfindhorizonmax, " max. facets tested", -1);
-  zdef_(zinc, Zfindjump,       " ave. clearly better", Zfindhorizon);
-  zdef_(zinc, Zparthorizon, " horizon facets better than bestfacet", -1);
-  zdef_(zinc, Zpartangle, "angle tests for repartitioned coplanar points", -1);
-  zdef_(zinc, Zpartflip, "  repartitioned coplanar points for flipped orientation", -1);
-}
-void qh_allstatE(void) {
-  zdef_(zinc, Zpartinside, "inside points", -1);
-  zdef_(zinc, Zpartnear, "  inside points kept with a facet", -1);
-  zdef_(zinc, Zcoplanarinside, "  inside points that were coplanar with a facet", -1);
-  zdef_(zinc, Zbestlower, "calls to findbestlower", -1);
-  zdef_(zinc, Zbestlowerv, "  with search of vertex neighbors", -1);
-  zdef_(wadd, Wmaxout, "difference in max_outside at final check", -1);
-  zzdef_(zinc, Zpartitionall, "distance tests for initial partition", -1);
-  zdef_(zinc, Ztotpartition, "partitions of a point", -1);
-  zzdef_(zinc, Zpartition, "distance tests for partitioning", -1);
-  zzdef_(zinc, Zdistcheck, "distance tests for checking flipped facets", -1);
-  zzdef_(zinc, Zdistconvex, "distance tests for checking convexity", -1);
-  zdef_(zinc, Zdistgood, "distance tests for checking good point", -1);
-  zdef_(zinc, Zdistio, "distance tests for output", -1);
-  zdef_(zinc, Zdiststat, "distance tests for statistics", -1);
-  zdef_(zinc, Zdistplane, "total number of distance tests", -1);
-  zdef_(zinc, Ztotpartcoplanar, "partitions of coplanar points or deleted vertices", -1);
-  zzdef_(zinc, Zpartcoplanar, "   distance tests for these partitions", -1);
-  zdef_(zinc, Zcomputefurthest, "distance tests for computing furthest", -1);
-}
-void qh_allstatE2(void) {
-  zdef_(zdoc, Zdoc5, "statistics for matching ridges", -1);
-  zdef_(zinc, Zhashlookup, "total lookups for matching ridges of new facets", -1);
-  zdef_(zinc, Zhashtests, "average number of tests to match a ridge", Zhashlookup);
-  zdef_(zinc, Zhashridge, "total lookups of subridges(duplicates and boundary)", -1);
-  zdef_(zinc, Zhashridgetest, "average number of tests per subridge", Zhashridge);
-  zdef_(zinc, Zdupsame, "duplicated ridges in same merge cycle", -1);
-  zdef_(zinc, Zdupflip, "duplicated ridges with flipped facets", -1);
-
-  zdef_(zdoc, Zdoc6, "statistics for determining merges", -1);
-  zdef_(zinc, Zangletests, "angles computed for ridge convexity", -1);
-  zdef_(zinc, Zbestcentrum, "best merges used centrum instead of vertices",-1);
-  zzdef_(zinc, Zbestdist, "distance tests for best merge", -1);
-  zzdef_(zinc, Zcentrumtests, "distance tests for centrum convexity", -1);
-  zzdef_(zinc, Zdistzero, "distance tests for checking simplicial convexity", -1);
-  zdef_(zinc, Zcoplanarangle, "coplanar angles in getmergeset", -1);
-  zdef_(zinc, Zcoplanarcentrum, "coplanar centrums in getmergeset", -1);
-  zdef_(zinc, Zconcaveridge, "concave ridges in getmergeset", -1);
-}
-void qh_allstatF(void) {
-  zdef_(zdoc, Zdoc7, "statistics for merging", -1);
-  zdef_(zinc, Zpremergetot, "merge iterations", -1);
-  zdef_(zadd, Zmergeinittot, "ave. initial non-convex ridges per iteration", Zpremergetot);
-  zdef_(zadd, Zmergeinitmax, "  maximum", -1);
-  zdef_(zadd, Zmergesettot, "  ave. additional non-convex ridges per iteration", Zpremergetot);
-  zdef_(zadd, Zmergesetmax, "  maximum additional in one pass", -1);
-  zdef_(zadd, Zmergeinittot2, "initial non-convex ridges for post merging", -1);
-  zdef_(zadd, Zmergesettot2, "  additional non-convex ridges", -1);
-  zdef_(wmax, Wmaxoutside, "max distance of vertex or coplanar point above facet(w/roundoff)", -1);
-  zdef_(wmin, Wminvertex, "max distance of merged vertex below facet(or roundoff)", -1);
-  zdef_(zinc, Zwidefacet, "centrums frozen due to a wide merge", -1);
-  zdef_(zinc, Zwidevertices, "centrums frozen due to extra vertices", -1);
-  zzdef_(zinc, Ztotmerge, "total number of facets or cycles of facets merged", -1);
-  zdef_(zinc, Zmergesimplex, "merged a simplex", -1);
-  zdef_(zinc, Zonehorizon, "simplices merged into coplanar horizon", -1);
-  zzdef_(zinc, Zcyclehorizon, "cycles of facets merged into coplanar horizon", -1);
-  zzdef_(zadd, Zcyclefacettot, "  ave. facets per cycle", Zcyclehorizon);
-  zdef_(zmax, Zcyclefacetmax, "  max. facets", -1);
-  zdef_(zinc, Zmergeintohorizon, "new facets merged into horizon", -1);
-  zdef_(zinc, Zmergenew, "new facets merged", -1);
-  zdef_(zinc, Zmergehorizon, "horizon facets merged into new facets", -1);
-  zdef_(zinc, Zmergevertex, "vertices deleted by merging", -1);
-  zdef_(zinc, Zcyclevertex, "vertices deleted by merging into coplanar horizon", -1);
-  zdef_(zinc, Zdegenvertex, "vertices deleted by degenerate facet", -1);
-  zdef_(zinc, Zmergeflipdup, "merges due to flipped facets in duplicated ridge", -1);
-  zdef_(zinc, Zneighbor, "merges due to redundant neighbors", -1);
-  zdef_(zadd, Ztestvneighbor, "non-convex vertex neighbors", -1);
-}
-void qh_allstatG(void) {
-  zdef_(zinc, Zacoplanar, "merges due to angle coplanar facets", -1);
-  zdef_(wadd, Wacoplanartot, "  average merge distance", Zacoplanar);
-  zdef_(wmax, Wacoplanarmax, "  maximum merge distance", -1);
-  zdef_(zinc, Zcoplanar, "merges due to coplanar facets", -1);
-  zdef_(wadd, Wcoplanartot, "  average merge distance", Zcoplanar);
-  zdef_(wmax, Wcoplanarmax, "  maximum merge distance", -1);
-  zdef_(zinc, Zconcave, "merges due to concave facets", -1);
-  zdef_(wadd, Wconcavetot, "  average merge distance", Zconcave);
-  zdef_(wmax, Wconcavemax, "  maximum merge distance", -1);
-  zdef_(zinc, Zavoidold, "coplanar/concave merges due to avoiding old merge", -1);
-  zdef_(wadd, Wavoidoldtot, "  average merge distance", Zavoidold);
-  zdef_(wmax, Wavoidoldmax, "  maximum merge distance", -1);
-  zdef_(zinc, Zdegen, "merges due to degenerate facets", -1);
-  zdef_(wadd, Wdegentot, "  average merge distance", Zdegen);
-  zdef_(wmax, Wdegenmax, "  maximum merge distance", -1);
-  zdef_(zinc, Zflipped, "merges due to removing flipped facets", -1);
-  zdef_(wadd, Wflippedtot, "  average merge distance", Zflipped);
-  zdef_(wmax, Wflippedmax, "  maximum merge distance", -1);
-  zdef_(zinc, Zduplicate, "merges due to duplicated ridges", -1);
-  zdef_(wadd, Wduplicatetot, "  average merge distance", Zduplicate);
-  zdef_(wmax, Wduplicatemax, "  maximum merge distance", -1);
-}
-void qh_allstatH(void) {
-  zdef_(zdoc, Zdoc8, "renamed vertex statistics", -1);
-  zdef_(zinc, Zrenameshare, "renamed vertices shared by two facets", -1);
-  zdef_(zinc, Zrenamepinch, "renamed vertices in a pinched facet", -1);
-  zdef_(zinc, Zrenameall, "renamed vertices shared by multiple facets", -1);
-  zdef_(zinc, Zfindfail, "rename failures due to duplicated ridges", -1);
-  zdef_(zinc, Zdupridge, "  duplicate ridges detected", -1);
-  zdef_(zinc, Zdelridge, "deleted ridges due to renamed vertices", -1);
-  zdef_(zinc, Zdropneighbor, "dropped neighbors due to renamed vertices", -1);
-  zdef_(zinc, Zdropdegen, "degenerate facets due to dropped neighbors", -1);
-  zdef_(zinc, Zdelfacetdup, "  facets deleted because of no neighbors", -1);
-  zdef_(zinc, Zremvertex, "vertices removed from facets due to no ridges", -1);
-  zdef_(zinc, Zremvertexdel, "  deleted", -1);
-  zdef_(zinc, Zintersectnum, "vertex intersections for locating redundant vertices", -1);
-  zdef_(zinc, Zintersectfail, "intersections failed to find a redundant vertex", -1);
-  zdef_(zinc, Zintersect, "intersections found redundant vertices", -1);
-  zdef_(zadd, Zintersecttot, "   ave. number found per vertex", Zintersect);
-  zdef_(zmax, Zintersectmax, "   max. found for a vertex", -1);
-  zdef_(zinc, Zvertexridge, NULL, -1);
-  zdef_(zadd, Zvertexridgetot, "  ave. number of ridges per tested vertex", Zvertexridge);
-  zdef_(zmax, Zvertexridgemax, "  max. number of ridges per tested vertex", -1);
-
-  zdef_(zdoc, Zdoc10, "memory usage statistics(in bytes)", -1);
-  zdef_(zadd, Zmemfacets, "for facets and their normals, neighbor and vertex sets", -1);
-  zdef_(zadd, Zmemvertices, "for vertices and their neighbor sets", -1);
-  zdef_(zadd, Zmempoints, "for input points and outside and coplanar sets",-1);
-  zdef_(zadd, Zmemridges, "for ridges and their vertex sets", -1);
-} /* allstat */
-
-void qh_allstatI(void) {
-  qhstat vridges= qhstat next;
-  zzdef_(zdoc, Zdoc11, "Voronoi ridge statistics", -1);
-  zzdef_(zinc, Zridge, "non-simplicial Voronoi vertices for all ridges", -1);
-  zzdef_(wadd, Wridge, "  ave. distance to ridge", Zridge);
-  zzdef_(wmax, Wridgemax, "  max. distance to ridge", -1);
-  zzdef_(zinc, Zridgemid, "bounded ridges", -1);
-  zzdef_(wadd, Wridgemid, "  ave. distance of midpoint to ridge", Zridgemid);
-  zzdef_(wmax, Wridgemidmax, "  max. distance of midpoint to ridge", -1);
-  zzdef_(zinc, Zridgeok, "bounded ridges with ok normal", -1);
-  zzdef_(wadd, Wridgeok, "  ave. angle to ridge", Zridgeok);
-  zzdef_(wmax, Wridgeokmax, "  max. angle to ridge", -1);
-  zzdef_(zinc, Zridge0, "bounded ridges with near-zero normal", -1);
-  zzdef_(wadd, Wridge0, "  ave. angle to ridge", Zridge0);
-  zzdef_(wmax, Wridge0max, "  max. angle to ridge", -1);
-
-  zdef_(zdoc, Zdoc12, "Triangulation statistics(Qt)", -1);
-  zdef_(zinc, Ztricoplanar, "non-simplicial facets triangulated", -1);
-  zdef_(zadd, Ztricoplanartot, "  ave. new facets created(may be deleted)", Ztricoplanar);
-  zdef_(zmax, Ztricoplanarmax, "  max. new facets created", -1);
-  zdef_(zinc, Ztrinull, "null new facets deleted(duplicated vertex)", -1);
-  zdef_(zinc, Ztrimirror, "mirrored pairs of new facets deleted(same vertices)", -1);
-  zdef_(zinc, Ztridegen, "degenerate new facets in output(same ridge)", -1);
-} /* allstat */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="allstatistics">-</a>
-
-  qh_allstatistics()
-    reset printed flag for all statistics
-*/
-void qh_allstatistics(void) {
-  int i;
-
-  for(i=ZEND; i--; )
-    qhstat printed[i]= False;
-} /* allstatistics */
-
-#if qh_KEEPstatistics
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="collectstatistics">-</a>
-
-  qh_collectstatistics()
-    collect statistics for qh.facet_list
-
-*/
-void qh_collectstatistics(void) {
-  facetT *facet, *neighbor, **neighborp;
-  vertexT *vertex, **vertexp;
-  realT dotproduct, dist;
-  int sizneighbors, sizridges, sizvertices, i;
-
-  qh old_randomdist= qh RANDOMdist;
-  qh RANDOMdist= False;
-  zval_(Zmempoints)= qh num_points * qh normal_size +
-                             sizeof(qhT) + sizeof(qhstatT);
-  zval_(Zmemfacets)= 0;
-  zval_(Zmemridges)= 0;
-  zval_(Zmemvertices)= 0;
-  zval_(Zangle)= 0;
-  wval_(Wangle)= 0.0;
-  zval_(Znumridges)= 0;
-  zval_(Znumfacets)= 0;
-  zval_(Znumneighbors)= 0;
-  zval_(Znumvertices)= 0;
-  zval_(Znumvneighbors)= 0;
-  zval_(Znummergetot)= 0;
-  zval_(Znummergemax)= 0;
-  zval_(Zvertices)= qh num_vertices - qh_setsize(qh del_vertices);
-  if (qh MERGING || qh APPROXhull || qh JOGGLEmax < REALmax/2)
-    wmax_(Wmaxoutside, qh max_outside);
-  if (qh MERGING)
-    wmin_(Wminvertex, qh min_vertex);
-  FORALLfacets
-    facet->seen= False;
-  if (qh DELAUNAY) {
-    FORALLfacets {
-      if (facet->upperdelaunay != qh UPPERdelaunay)
-        facet->seen= True; /* remove from angle statistics */
-    }
-  }
-  FORALLfacets {
-    if (facet->visible && qh NEWfacets)
-      continue;
-    sizvertices= qh_setsize(facet->vertices);
-    sizneighbors= qh_setsize(facet->neighbors);
-    sizridges= qh_setsize(facet->ridges);
-    zinc_(Znumfacets);
-    zadd_(Znumvertices, sizvertices);
-    zmax_(Zmaxvertices, sizvertices);
-    zadd_(Znumneighbors, sizneighbors);
-    zmax_(Zmaxneighbors, sizneighbors);
-    zadd_(Znummergetot, facet->nummerge);
-    i= facet->nummerge; /* avoid warnings */
-    zmax_(Znummergemax, i);
-    if (!facet->simplicial) {
-      if (sizvertices == qh hull_dim) {
-        zinc_(Znowsimplicial);
-      }else {
-        zinc_(Znonsimplicial);
-      }
-    }
-    if (sizridges) {
-      zadd_(Znumridges, sizridges);
-      zmax_(Zmaxridges, sizridges);
-    }
-    zadd_(Zmemfacets, sizeof(facetT) + qh normal_size + 2*sizeof(setT)
-       + SETelemsize * (sizneighbors + sizvertices));
-    if (facet->ridges) {
-      zadd_(Zmemridges,
-         sizeof(setT) + SETelemsize * sizridges + sizridges *
-         (sizeof(ridgeT) + sizeof(setT) + SETelemsize * (qh hull_dim-1))/2);
-    }
-    if (facet->outsideset)
-      zadd_(Zmempoints, sizeof(setT) + SETelemsize * qh_setsize(facet->outsideset));
-    if (facet->coplanarset)
-      zadd_(Zmempoints, sizeof(setT) + SETelemsize * qh_setsize(facet->coplanarset));
-    if (facet->seen) /* Delaunay upper envelope */
-      continue;
-    facet->seen= True;
-    FOREACHneighbor_(facet) {
-      if (neighbor == qh_DUPLICATEridge || neighbor == qh_MERGEridge
-          || neighbor->seen || !facet->normal || !neighbor->normal)
-        continue;
-      dotproduct= qh_getangle(facet->normal, neighbor->normal);
-      zinc_(Zangle);
-      wadd_(Wangle, dotproduct);
-      wmax_(Wanglemax, dotproduct)
-      wmin_(Wanglemin, dotproduct)
-    }
-    if (facet->normal) {
-      FOREACHvertex_(facet->vertices) {
-        zinc_(Zdiststat);
-        qh_distplane(vertex->point, facet, &dist);
-        wmax_(Wvertexmax, dist);
-        wmin_(Wvertexmin, dist);
-      }
-    }
-  }
-  FORALLvertices {
-    if (vertex->deleted)
-      continue;
-    zadd_(Zmemvertices, sizeof(vertexT));
-    if (vertex->neighbors) {
-      sizneighbors= qh_setsize(vertex->neighbors);
-      zadd_(Znumvneighbors, sizneighbors);
-      zmax_(Zmaxvneighbors, sizneighbors);
-      zadd_(Zmemvertices, sizeof(vertexT) + SETelemsize * sizneighbors);
-    }
-  }
-  qh RANDOMdist= qh old_randomdist;
-} /* collectstatistics */
-#endif /* qh_KEEPstatistics */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="freestatistics">-</a>
-
-  qh_freestatistics(  )
-    free memory used for statistics
-*/
-void qh_freestatistics(void) {
-
-#if qh_QHpointer
-  qh_free(qh_qhstat);
-  qh_qhstat= NULL;
-#endif
-} /* freestatistics */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="initstatistics">-</a>
-
-  qh_initstatistics(  )
-    allocate and initialize statistics
-
-  notes:
-    uses qh_malloc() instead of qh_memalloc() since mem.c not set up yet
-    NOerrors -- qh_initstatistics can not use qh_errexit().  One first call, qh_memalloc is not initialized.  Also invoked by QhullQh().
-*/
-void qh_initstatistics(void) {
-  int i;
-  realT realx;
-  int intx;
-
-#if qh_QHpointer
-  if(qh_qhstat){  /* qh_initstatistics may be called from Qhull::resetStatistics() */
-      qh_free(qh_qhstat);
-      qh_qhstat= 0;
-  }
-  if (!(qh_qhstat= (qhstatT *)qh_malloc(sizeof(qhstatT)))) {
-    qh_fprintf(qhmem.ferr, 6183, "qhull error (qh_initstatistics): insufficient memory\n");
-    qh_exit(qh_ERRmem);  /* can not use qh_errexit() */
-  }
-#endif
-
-  qhstat next= 0;
-  qh_allstatA();
-  qh_allstatB();
-  qh_allstatC();
-  qh_allstatD();
-  qh_allstatE();
-  qh_allstatE2();
-  qh_allstatF();
-  qh_allstatG();
-  qh_allstatH();
-  qh_allstatI();
-  if (qhstat next > (int)sizeof(qhstat id)) {
-    qh_fprintf(qhmem.ferr, 6184, "qhull error (qh_initstatistics): increase size of qhstat.id[].\n\
-      qhstat.next %d should be <= sizeof(qhstat id) %d\n", qhstat next, (int)sizeof(qhstat id));
-#if 0 /* for locating error, Znumridges should be duplicated */
-    for(i=0; i < ZEND; i++) {
-      int j;
-      for(j=i+1; j < ZEND; j++) {
-        if (qhstat id[i] == qhstat id[j]) {
-          qh_fprintf(qhmem.ferr, 6185, "qhull error (qh_initstatistics): duplicated statistic %d at indices %d and %d\n",
-              qhstat id[i], i, j);
-        }
-      }
-    }
-#endif
-    qh_exit(qh_ERRqhull);  /* can not use qh_errexit() */
-  }
-  qhstat init[zinc].i= 0;
-  qhstat init[zadd].i= 0;
-  qhstat init[zmin].i= INT_MAX;
-  qhstat init[zmax].i= INT_MIN;
-  qhstat init[wadd].r= 0;
-  qhstat init[wmin].r= REALmax;
-  qhstat init[wmax].r= -REALmax;
-  for(i=0; i < ZEND; i++) {
-    if (qhstat type[i] > ZTYPEreal) {
-      realx= qhstat init[(unsigned char)(qhstat type[i])].r;
-      qhstat stats[i].r= realx;
-    }else if (qhstat type[i] != zdoc) {
-      intx= qhstat init[(unsigned char)(qhstat type[i])].i;
-      qhstat stats[i].i= intx;
-    }
-  }
-} /* initstatistics */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="newstats">-</a>
-
-  qh_newstats(  )
-    returns True if statistics for zdoc
-
-  returns:
-    next zdoc
-*/
-boolT qh_newstats(int idx, int *nextindex) {
-  boolT isnew= False;
-  int start, i;
-
-  if (qhstat type[qhstat id[idx]] == zdoc)
-    start= idx+1;
-  else
-    start= idx;
-  for(i= start; i < qhstat next && qhstat type[qhstat id[i]] != zdoc; i++) {
-    if (!qh_nostatistic(qhstat id[i]) && !qhstat printed[qhstat id[i]])
-        isnew= True;
-  }
-  *nextindex= i;
-  return isnew;
-} /* newstats */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="nostatistic">-</a>
-
-  qh_nostatistic( index )
-    true if no statistic to print
-*/
-boolT qh_nostatistic(int i) {
-
-  if ((qhstat type[i] > ZTYPEreal
-       &&qhstat stats[i].r == qhstat init[(unsigned char)(qhstat type[i])].r)
-      || (qhstat type[i] < ZTYPEreal
-          &&qhstat stats[i].i == qhstat init[(unsigned char)(qhstat type[i])].i))
-    return True;
-  return False;
-} /* nostatistic */
-
-#if qh_KEEPstatistics
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="printallstatistics">-</a>
-
-  qh_printallstatistics( fp, string )
-    print all statistics with header 'string'
-*/
-void qh_printallstatistics(FILE *fp, const char *string) {
-
-  qh_allstatistics();
-  qh_collectstatistics();
-  qh_printstatistics(fp, string);
-  qh_memstatistics(fp);
-}
-
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="printstatistics">-</a>
-
-  qh_printstatistics( fp, string )
-    print statistics to a file with header 'string'
-    skips statistics with qhstat.printed[] (reset with qh_allstatistics)
-
-  see:
-    qh_printallstatistics()
-*/
-void qh_printstatistics(FILE *fp, const char *string) {
-  int i, k;
-  realT ave;
-
-  if (qh num_points != qh num_vertices) {
-    wval_(Wpbalance)= 0;
-    wval_(Wpbalance2)= 0;
-  }else
-    wval_(Wpbalance2)= qh_stddev(zval_(Zpbalance), wval_(Wpbalance),
-                                 wval_(Wpbalance2), &ave);
-  wval_(Wnewbalance2)= qh_stddev(zval_(Zprocessed), wval_(Wnewbalance),
-                                 wval_(Wnewbalance2), &ave);
-  qh_fprintf(fp, 9350, "\n\
-%s\n\
- qhull invoked by: %s | %s\n%s with options:\n%s\n", string, qh rbox_command,
-     qh qhull_command, qh_version, qh qhull_options);
-  qh_fprintf(fp, 9351, "\nprecision constants:\n\
- %6.2g max. abs. coordinate in the (transformed) input('Qbd:n')\n\
- %6.2g max. roundoff error for distance computation('En')\n\
- %6.2g max. roundoff error for angle computations\n\
- %6.2g min. distance for outside points ('Wn')\n\
- %6.2g min. distance for visible facets ('Vn')\n\
- %6.2g max. distance for coplanar facets ('Un')\n\
- %6.2g max. facet width for recomputing centrum and area\n\
-",
-  qh MAXabs_coord, qh DISTround, qh ANGLEround, qh MINoutside,
-        qh MINvisible, qh MAXcoplanar, qh WIDEfacet);
-  if (qh KEEPnearinside)
-    qh_fprintf(fp, 9352, "\
- %6.2g max. distance for near-inside points\n", qh NEARinside);
-  if (qh premerge_cos < REALmax/2) qh_fprintf(fp, 9353, "\
- %6.2g max. cosine for pre-merge angle\n", qh premerge_cos);
-  if (qh PREmerge) qh_fprintf(fp, 9354, "\
- %6.2g radius of pre-merge centrum\n", qh premerge_centrum);
-  if (qh postmerge_cos < REALmax/2) qh_fprintf(fp, 9355, "\
- %6.2g max. cosine for post-merge angle\n", qh postmerge_cos);
-  if (qh POSTmerge) qh_fprintf(fp, 9356, "\
- %6.2g radius of post-merge centrum\n", qh postmerge_centrum);
-  qh_fprintf(fp, 9357, "\
- %6.2g max. distance for merging two simplicial facets\n\
- %6.2g max. roundoff error for arithmetic operations\n\
- %6.2g min. denominator for divisions\n\
-  zero diagonal for Gauss: ", qh ONEmerge, REALepsilon, qh MINdenom);
-  for(k=0; k < qh hull_dim; k++)
-    qh_fprintf(fp, 9358, "%6.2e ", qh NEARzero[k]);
-  qh_fprintf(fp, 9359, "\n\n");
-  for(i=0 ; i < qhstat next; )
-    qh_printstats(fp, i, &i);
-} /* printstatistics */
-#endif /* qh_KEEPstatistics */
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="printstatlevel">-</a>
-
-  qh_printstatlevel( fp, id )
-    print level information for a statistic
-
-  notes:
-    nop if id >= ZEND, printed, or same as initial value
-*/
-void qh_printstatlevel(FILE *fp, int id, int start) {
-#define NULLfield "       "
-
-  if (id >= ZEND || qhstat printed[id])
-    return;
-  if (qhstat type[id] == zdoc) {
-    qh_fprintf(fp, 9360, "%s\n", qhstat doc[id]);
-    return;
-  }
-  start= 0; /* not used */
-  if (qh_nostatistic(id) || !qhstat doc[id])
-    return;
-  qhstat printed[id]= True;
-  if (qhstat count[id] != -1
-      && qhstat stats[(unsigned char)(qhstat count[id])].i == 0)
-    qh_fprintf(fp, 9361, " *0 cnt*");
-  else if (qhstat type[id] >= ZTYPEreal && qhstat count[id] == -1)
-    qh_fprintf(fp, 9362, "%7.2g", qhstat stats[id].r);
-  else if (qhstat type[id] >= ZTYPEreal && qhstat count[id] != -1)
-    qh_fprintf(fp, 9363, "%7.2g", qhstat stats[id].r/ qhstat stats[(unsigned char)(qhstat count[id])].i);
-  else if (qhstat type[id] < ZTYPEreal && qhstat count[id] == -1)
-    qh_fprintf(fp, 9364, "%7d", qhstat stats[id].i);
-  else if (qhstat type[id] < ZTYPEreal && qhstat count[id] != -1)
-    qh_fprintf(fp, 9365, "%7.3g", (realT) qhstat stats[id].i / qhstat stats[(unsigned char)(qhstat count[id])].i);
-  qh_fprintf(fp, 9366, " %s\n", qhstat doc[id]);
-} /* printstatlevel */
-
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="printstats">-</a>
-
-  qh_printstats( fp, index, nextindex )
-    print statistics for a zdoc group
-
-  returns:
-    next zdoc if non-null
-*/
-void qh_printstats(FILE *fp, int idx, int *nextindex) {
-  int j, nexti;
-
-  if (qh_newstats(idx, &nexti)) {
-    qh_fprintf(fp, 9367, "\n");
-    for (j=idx; j<nexti; j++)
-      qh_printstatlevel(fp, qhstat id[j], 0);
-  }
-  if (nextindex)
-    *nextindex= nexti;
-} /* printstats */
-
-#if qh_KEEPstatistics
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="stddev">-</a>
-
-  qh_stddev( num, tot, tot2, ave )
-    compute the standard deviation and average from statistics
-
-    tot2 is the sum of the squares
-  notes:
-    computes r.m.s.:
-      (x-ave)^2
-      == x^2 - 2x tot/num +   (tot/num)^2
-      == tot2 - 2 tot tot/num + tot tot/num
-      == tot2 - tot ave
-*/
-realT qh_stddev(int num, realT tot, realT tot2, realT *ave) {
-  realT stddev;
-
-  *ave= tot/num;
-  stddev= sqrt(tot2/num - *ave * *ave);
-  return stddev;
-} /* stddev */
-
-#endif /* qh_KEEPstatistics */
-
-#if !qh_KEEPstatistics
-void    qh_collectstatistics(void) {}
-void    qh_printallstatistics(FILE *fp, char *string) {};
-void    qh_printstatistics(FILE *fp, char *string) {}
-#endif
diff --git a/extern/qhull/stat.h b/extern/qhull/stat.h
deleted file mode 100644
index 97d8efa585f3..000000000000
--- a/extern/qhull/stat.h
+++ /dev/null
@@ -1,541 +0,0 @@
-/*<html><pre>  -<a                             href="qh-stat.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   stat.h
-     contains all statistics that are collected for qhull
-
-   see qh-stat.htm and stat.c
-
-   Copyright (c) 1993-2012 The Geometry Center.
-   $Id: //main/2011/qhull/src/libqhull/stat.h#5 $$Change: 1464 $
-   $DateTime: 2012/01/25 22:58:41 $$Author: bbarber $
-
-   recompile qhull if you change this file
-
-   Integer statistics are Z* while real statistics are W*.
-
-   define maydebugx to call a routine at every statistic event
-
-*/
-
-#ifndef qhDEFstat
-#define qhDEFstat 1
-
-#include "libqhull.h"
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="KEEPstatistics">-</a>
-
-  qh_KEEPstatistics
-    0 turns off statistic gathering (except zzdef/zzinc/zzadd/zzval/wwval)
-*/
-#ifndef qh_KEEPstatistics
-#define qh_KEEPstatistics 1
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="statistics">-</a>
-
-  Zxxx for integers, Wxxx for reals
-
-  notes:
-    be sure that all statistics are defined in stat.c
-      otherwise initialization may core dump
-    can pick up all statistics by:
-      grep '[zw].*_[(][ZW]' *.c >z.x
-    remove trailers with query">-</a>
-    remove leaders with  query-replace-regexp [ ^I]+  (
-*/
-#if qh_KEEPstatistics
-enum statistics {     /* alphabetical after Z/W */
-    Zacoplanar,
-    Wacoplanarmax,
-    Wacoplanartot,
-    Zangle,
-    Wangle,
-    Wanglemax,
-    Wanglemin,
-    Zangletests,
-    Wareatot,
-    Wareamax,
-    Wareamin,
-    Zavoidold,
-    Wavoidoldmax,
-    Wavoidoldtot,
-    Zback0,
-    Zbestcentrum,
-    Zbestdist,
-    Zbestlower,
-    Zbestlowerv,
-    Zcentrumtests,
-    Zcheckpart,
-    Zcomputefurthest,
-    Zconcave,
-    Wconcavemax,
-    Wconcavetot,
-    Zconcaveridges,
-    Zconcaveridge,
-    Zcoplanar,
-    Wcoplanarmax,
-    Wcoplanartot,
-    Zcoplanarangle,
-    Zcoplanarcentrum,
-    Zcoplanarhorizon,
-    Zcoplanarinside,
-    Zcoplanarpart,
-    Zcoplanarridges,
-    Wcpu,
-    Zcyclefacetmax,
-    Zcyclefacettot,
-    Zcyclehorizon,
-    Zcyclevertex,
-    Zdegen,
-    Wdegenmax,
-    Wdegentot,
-    Zdegenvertex,
-    Zdelfacetdup,
-    Zdelridge,
-    Zdelvertextot,
-    Zdelvertexmax,
-    Zdetsimplex,
-    Zdistcheck,
-    Zdistconvex,
-    Zdistgood,
-    Zdistio,
-    Zdistplane,
-    Zdiststat,
-    Zdistvertex,
-    Zdistzero,
-    Zdoc1,
-    Zdoc2,
-    Zdoc3,
-    Zdoc4,
-    Zdoc5,
-    Zdoc6,
-    Zdoc7,
-    Zdoc8,
-    Zdoc9,
-    Zdoc10,
-    Zdoc11,
-    Zdoc12,
-    Zdropdegen,
-    Zdropneighbor,
-    Zdupflip,
-    Zduplicate,
-    Wduplicatemax,
-    Wduplicatetot,
-    Zdupridge,
-    Zdupsame,
-    Zflipped,
-    Wflippedmax,
-    Wflippedtot,
-    Zflippedfacets,
-    Zfindbest,
-    Zfindbestmax,
-    Zfindbesttot,
-    Zfindcoplanar,
-    Zfindfail,
-    Zfindhorizon,
-    Zfindhorizonmax,
-    Zfindhorizontot,
-    Zfindjump,
-    Zfindnew,
-    Zfindnewmax,
-    Zfindnewtot,
-    Zfindnewjump,
-    Zfindnewsharp,
-    Zgauss0,
-    Zgoodfacet,
-    Zhashlookup,
-    Zhashridge,
-    Zhashridgetest,
-    Zhashtests,
-    Zinsidevisible,
-    Zintersect,
-    Zintersectfail,
-    Zintersectmax,
-    Zintersectnum,
-    Zintersecttot,
-    Zmaxneighbors,
-    Wmaxout,
-    Wmaxoutside,
-    Zmaxridges,
-    Zmaxvertex,
-    Zmaxvertices,
-    Zmaxvneighbors,
-    Zmemfacets,
-    Zmempoints,
-    Zmemridges,
-    Zmemvertices,
-    Zmergeflipdup,
-    Zmergehorizon,
-    Zmergeinittot,
-    Zmergeinitmax,
-    Zmergeinittot2,
-    Zmergeintohorizon,
-    Zmergenew,
-    Zmergesettot,
-    Zmergesetmax,
-    Zmergesettot2,
-    Zmergesimplex,
-    Zmergevertex,
-    Wmindenom,
-    Wminvertex,
-    Zminnorm,
-    Zmultiridge,
-    Znearlysingular,
-    Zneighbor,
-    Wnewbalance,
-    Wnewbalance2,
-    Znewfacettot,
-    Znewfacetmax,
-    Znewvertex,
-    Wnewvertex,
-    Wnewvertexmax,
-    Znoarea,
-    Znonsimplicial,
-    Znowsimplicial,
-    Znotgood,
-    Znotgoodnew,
-    Znotmax,
-    Znumfacets,
-    Znummergemax,
-    Znummergetot,
-    Znumneighbors,
-    Znumridges,
-    Znumvertices,
-    Znumvisibility,
-    Znumvneighbors,
-    Zonehorizon,
-    Zpartangle,
-    Zpartcoplanar,
-    Zpartflip,
-    Zparthorizon,
-    Zpartinside,
-    Zpartition,
-    Zpartitionall,
-    Zpartnear,
-    Zpbalance,
-    Wpbalance,
-    Wpbalance2,
-    Zpostfacets,
-    Zpremergetot,
-    Zprocessed,
-    Zremvertex,
-    Zremvertexdel,
-    Zrenameall,
-    Zrenamepinch,
-    Zrenameshare,
-    Zretry,
-    Wretrymax,
-    Zridge,
-    Wridge,
-    Wridgemax,
-    Zridge0,
-    Wridge0,
-    Wridge0max,
-    Zridgemid,
-    Wridgemid,
-    Wridgemidmax,
-    Zridgeok,
-    Wridgeok,
-    Wridgeokmax,
-    Zsearchpoints,
-    Zsetplane,
-    Ztestvneighbor,
-    Ztotcheck,
-    Ztothorizon,
-    Ztotmerge,
-    Ztotpartcoplanar,
-    Ztotpartition,
-    Ztotridges,
-    Ztotvertices,
-    Ztotvisible,
-    Ztricoplanar,
-    Ztricoplanarmax,
-    Ztricoplanartot,
-    Ztridegen,
-    Ztrimirror,
-    Ztrinull,
-    Wvertexmax,
-    Wvertexmin,
-    Zvertexridge,
-    Zvertexridgetot,
-    Zvertexridgemax,
-    Zvertices,
-    Zvisfacettot,
-    Zvisfacetmax,
-    Zvisit,
-    Zvisit2max,
-    Zvisvertextot,
-    Zvisvertexmax,
-    Zvvisit,
-    Zvvisit2max,
-    Zwidefacet,
-    Zwidevertices,
-    ZEND};
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="ZZstat">-</a>
-
-  Zxxx/Wxxx statistics that remain defined if qh_KEEPstatistics=0
-
-  notes:
-    be sure to use zzdef, zzinc, etc. with these statistics (no double checking!)
-*/
-#else
-enum statistics {     /* for zzdef etc. macros */
-  Zback0,
-  Zbestdist,
-  Zcentrumtests,
-  Zcheckpart,
-  Zconcaveridges,
-  Zcoplanarhorizon,
-  Zcoplanarpart,
-  Zcoplanarridges,
-  Zcyclefacettot,
-  Zcyclehorizon,
-  Zdelvertextot,
-  Zdistcheck,
-  Zdistconvex,
-  Zdistzero,
-  Zdoc1,
-  Zdoc2,
-  Zdoc3,
-  Zdoc11,
-  Zflippedfacets,
-  Zgauss0,
-  Zminnorm,
-  Zmultiridge,
-  Znearlysingular,
-  Wnewvertexmax,
-  Znumvisibility,
-  Zpartcoplanar,
-  Zpartition,
-  Zpartitionall,
-  Zprocessed,
-  Zretry,
-  Zridge,
-  Wridge,
-  Wridgemax,
-  Zridge0,
-  Wridge0,
-  Wridge0max,
-  Zridgemid,
-  Wridgemid,
-  Wridgemidmax,
-  Zridgeok,
-  Wridgeok,
-  Wridgeokmax,
-  Zsetplane,
-  Ztotcheck,
-  Ztotmerge,
-    ZEND};
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >-------------------------------</a><a name="ztype">-</a>
-
-  ztype
-    the type of a statistic sets its initial value.
-
-  notes:
-    The type should be the same as the macro for collecting the statistic
-*/
-enum ztypes {zdoc,zinc,zadd,zmax,zmin,ZTYPEreal,wadd,wmax,wmin,ZTYPEend};
-
-/*========== macros and constants =============*/
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="MAYdebugx">-</a>
-
-  MAYdebugx
-    define as maydebug() to be called frequently for error trapping
-*/
-#define MAYdebugx
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zdef_">-</a>
-
-  zzdef_, zdef_( type, name, doc, -1)
-    define a statistic (assumes 'qhstat.next= 0;')
-
-  zdef_( type, name, doc, count)
-    define an averaged statistic
-    printed as name/count
-*/
-#define zzdef_(stype,name,string,cnt) qhstat id[qhstat next++]=name; \
-   qhstat doc[name]= string; qhstat count[name]= cnt; qhstat type[name]= stype
-#if qh_KEEPstatistics
-#define zdef_(stype,name,string,cnt) qhstat id[qhstat next++]=name; \
-   qhstat doc[name]= string; qhstat count[name]= cnt; qhstat type[name]= stype
-#else
-#define zdef_(type,name,doc,count)
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zinc_">-</a>
-
-  zzinc_( name ), zinc_( name)
-    increment an integer statistic
-*/
-#define zzinc_(id) {MAYdebugx; qhstat stats[id].i++;}
-#if qh_KEEPstatistics
-#define zinc_(id) {MAYdebugx; qhstat stats[id].i++;}
-#else
-#define zinc_(id) {}
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zadd_">-</a>
-
-  zzadd_( name, value ), zadd_( name, value ), wadd_( name, value )
-    add value to an integer or real statistic
-*/
-#define zzadd_(id, val) {MAYdebugx; qhstat stats[id].i += (val);}
-#define wwadd_(id, val) {MAYdebugx; qhstat stats[id].r += (val);}
-#if qh_KEEPstatistics
-#define zadd_(id, val) {MAYdebugx; qhstat stats[id].i += (val);}
-#define wadd_(id, val) {MAYdebugx; qhstat stats[id].r += (val);}
-#else
-#define zadd_(id, val) {}
-#define wadd_(id, val) {}
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zval_">-</a>
-
-  zzval_( name ), zval_( name ), wwval_( name )
-    set or return value of a statistic
-*/
-#define zzval_(id) ((qhstat stats[id]).i)
-#define wwval_(id) ((qhstat stats[id]).r)
-#if qh_KEEPstatistics
-#define zval_(id) ((qhstat stats[id]).i)
-#define wval_(id) ((qhstat stats[id]).r)
-#else
-#define zval_(id) qhstat tempi
-#define wval_(id) qhstat tempr
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zmax_">-</a>
-
-  zmax_( id, val ), wmax_( id, value )
-    maximize id with val
-*/
-#define wwmax_(id, val) {MAYdebugx; maximize_(qhstat stats[id].r,(val));}
-#if qh_KEEPstatistics
-#define zmax_(id, val) {MAYdebugx; maximize_(qhstat stats[id].i,(val));}
-#define wmax_(id, val) {MAYdebugx; maximize_(qhstat stats[id].r,(val));}
-#else
-#define zmax_(id, val) {}
-#define wmax_(id, val) {}
-#endif
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="zmin_">-</a>
-
-  zmin_( id, val ), wmin_( id, value )
-    minimize id with val
-*/
-#if qh_KEEPstatistics
-#define zmin_(id, val) {MAYdebugx; minimize_(qhstat stats[id].i,(val));}
-#define wmin_(id, val) {MAYdebugx; minimize_(qhstat stats[id].r,(val));}
-#else
-#define zmin_(id, val) {}
-#define wmin_(id, val) {}
-#endif
-
-/*================== stat.h types ==============*/
-
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="intrealT">-</a>
-
-  intrealT
-    union of integer and real, used for statistics
-*/
-typedef union intrealT intrealT;    /* union of int and realT */
-union intrealT {
-    int i;
-    realT r;
-};
-
-/*-<a                             href="qh-stat.htm#TOC"
-  >--------------------------------</a><a name="qhstat">-</a>
-
-  qhstat
-    global data structure for statistics, similar to qh and qhrbox
-
-  notes:
-   access to qh_qhstat is via the "qhstat" macro.  There are two choices
-   qh_QHpointer = 1     access globals via a pointer
-                        enables qh_saveqhull() and qh_restoreqhull()
-                = 0     qh_qhstat is a static data structure
-                        only one instance of qhull() can be active at a time
-                        default value
-   qh_QHpointer is defined in libqhull.h
-   qh_QHpointer_dllimport and qh_dllimport define qh_qh as __declspec(dllimport) [libqhull.h]
-
-   allocated in stat.c using qh_malloc()
-*/
-#ifndef DEFqhstatT
-#define DEFqhstatT 1
-typedef struct qhstatT qhstatT;
-#endif
-
-#if qh_QHpointer_dllimport
-#define qhstat qh_qhstat->
-__declspec(dllimport) extern qhstatT *qh_qhstat;
-#elif qh_QHpointer
-#define qhstat qh_qhstat->
-extern qhstatT *qh_qhstat;
-#elif qh_dllimport
-#define qhstat qh_qhstat.
-__declspec(dllimport) extern qhstatT qh_qhstat;
-#else
-#define qhstat qh_qhstat.
-extern qhstatT qh_qhstat;
-#endif
-struct qhstatT {
-  intrealT   stats[ZEND];     /* integer and real statistics */
-  unsigned   char id[ZEND+10]; /* id's in print order */
-  const char *doc[ZEND];       /* array of documentation strings */
-  short int  count[ZEND];     /* -1 if none, else index of count to use */
-  char       type[ZEND];      /* type, see ztypes above */
-  char       printed[ZEND];   /* true, if statistic has been printed */
-  intrealT   init[ZTYPEend];  /* initial values by types, set initstatistics */
-
-  int        next;            /* next index for zdef_ */
-  int        precision;       /* index for precision problems */
-  int        vridges;         /* index for Voronoi ridges */
-  int        tempi;
-  realT      tempr;
-};
-
-/*========== function prototypes ===========*/
-
-void    qh_allstatA(void);
-void    qh_allstatB(void);
-void    qh_allstatC(void);
-void    qh_allstatD(void);
-void    qh_allstatE(void);
-void    qh_allstatE2(void);
-void    qh_allstatF(void);
-void    qh_allstatG(void);
-void    qh_allstatH(void);
-void    qh_allstatI(void);
-void    qh_allstatistics(void);
-void    qh_collectstatistics(void);
-void    qh_freestatistics(void);
-void    qh_initstatistics(void);
-boolT   qh_newstats(int idx, int *nextindex);
-boolT   qh_nostatistic(int i);
-void    qh_printallstatistics(FILE *fp, const char *string);
-void    qh_printstatistics(FILE *fp, const char *string);
-void    qh_printstatlevel(FILE *fp, int id, int start);
-void    qh_printstats(FILE *fp, int idx, int *nextindex);
-realT   qh_stddev(int num, realT tot, realT tot2, realT *ave);
-
-#endif   /* qhDEFstat */
diff --git a/extern/qhull/user.c b/extern/qhull/user.c
deleted file mode 100644
index ce2f76410d1e..000000000000
--- a/extern/qhull/user.c
+++ /dev/null
@@ -1,525 +0,0 @@
-/*<html><pre>  -<a                             href="qh-user.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   user.c
-   user redefinable functions
-
-   see user2.c for qh_fprintf, qh_malloc, qh_free
-
-   see README.txt  see COPYING.txt for copyright information.
-
-   see libqhull.h for data structures, macros, and user-callable functions.
-
-   see user_eg.c, unix.c, and qhull_interface.cpp for examples.
-
-   see user.h for user-definable constants
-
-      use qh_NOmem in mem.h to turn off memory management
-      use qh_NOmerge in user.h to turn off facet merging
-      set qh_KEEPstatistics in user.h to 0 to turn off statistics
-
-   This is unsupported software.  You're welcome to make changes,
-   but you're on your own if something goes wrong.  Use 'Tc' to
-   check frequently.  Usually qhull will report an error if
-   a data structure becomes inconsistent.  If so, it also reports
-   the last point added to the hull, e.g., 102.  You can then trace
-   the execution of qhull with "T4P102".
-
-   Please report any errors that you fix to qhull@qhull.org
-
-   call_qhull is a template for calling qhull from within your application
-
-   if you recompile and load this module, then user.o will not be loaded
-   from qhull.a
-
-   you can add additional quick allocation sizes in qh_user_memsizes
-
-   if the other functions here are redefined to not use qh_print...,
-   then io.o will not be loaded from qhull.a.  See user_eg.c for an
-   example.  We recommend keeping io.o for the extra debugging
-   information it supplies.
-*/
-
-#include "qhull_a.h"
-
-#include <stdarg.h>
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="call_qhull">-</a>
-
-  qh_call_qhull( void )
-    template for calling qhull from inside your program
-    remove #if 0, #endif to compile
-
-  returns:
-    exit code(see qh_ERR... in libqhull.h)
-    all memory freed
-
-  notes:
-    This can be called any number of times.
-
-  see:
-    qh_call_qhull_once()
-
-*/
-#if 0
-{
-  int dim;                  /* dimension of points */
-  int numpoints;            /* number of points */
-  coordT *points;           /* array of coordinates for each point */
-  boolT ismalloc;           /* True if qhull should free points in qh_freeqhull() or reallocation */
-  char flags[]= "qhull Tv"; /* option flags for qhull, see qh_opt.htm */
-  FILE *outfile= stdout;    /* output from qh_produce_output()
-                               use NULL to skip qh_produce_output() */
-  FILE *errfile= stderr;    /* error messages from qhull code */
-  int exitcode;             /* 0 if no error from qhull */
-  facetT *facet;            /* set by FORALLfacets */
-  int curlong, totlong;     /* memory remaining after qh_memfreeshort */
-
-#if qh_QHpointer  /* see user.h */
-  if (qh_qh){
-      printf ("QH6238: Qhull link error.  The global variable qh_qh was not initialized\n\
-              to NULL by global.c.  Please compile this program with -Dqh_QHpointer_dllimport\n\
-              as well as -Dqh_QHpointer, or use libqhullstatic, or use a different tool chain.\n\n");
-      exit -1;
-  }
-#endif
-
-  /* initialize dim, numpoints, points[], ismalloc here */
-  exitcode= qh_new_qhull(dim, numpoints, points, ismalloc,
-                      flags, outfile, errfile);
-  if (!exitcode) {                  /* if no error */
-    /* 'qh facet_list' contains the convex hull */
-    FORALLfacets {
-       /* ... your code ... */
-    }
-  }
-  qh_freeqhull(!qh_ALL);
-  qh_memfreeshort(&curlong, &totlong);
-  if (curlong || totlong)
-    qh_fprintf(errfile, 7068, "qhull internal warning (main): did not free %d bytes of long memory(%d pieces)\n", totlong, curlong);
-}
-#endif
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="new_qhull">-</a>
-
-  qh_new_qhull( dim, numpoints, points, ismalloc, qhull_cmd, outfile, errfile )
-    build new qhull data structure and return exitcode (0 if no errors)
-
-  notes:
-    do not modify points until finished with results.
-      The qhull data structure contains pointers into the points array.
-    do not call qhull functions before qh_new_qhull().
-      The qhull data structure is not initialized until qh_new_qhull().
-
-    outfile may be null
-    qhull_cmd must start with "qhull "
-    projects points to a new point array for Delaunay triangulations ('d' and 'v')
-    transforms points into a new point array for halfspace intersection ('H')
-
-
-  To allow multiple, concurrent calls to qhull()
-    - set qh_QHpointer in user.h
-    - use qh_save_qhull and qh_restore_qhull to swap the global data structure between calls.
-    - use qh_freeqhull(qh_ALL) to free intermediate convex hulls
-
-  see:
-    user_eg.c for an example
-*/
-int qh_new_qhull(int dim, int numpoints, coordT *points, boolT ismalloc,
-                char *qhull_cmd, FILE *outfile, FILE *errfile) {
-  int exitcode, hulldim;
-  boolT new_ismalloc;
-  static boolT firstcall = True;
-  coordT *new_points;
-
-  if (firstcall) {
-    qh_meminit(errfile);
-    firstcall= False;
-  }
-  if (strncmp(qhull_cmd,"qhull ", (size_t)6)) {
-    qh_fprintf(errfile, 6186, "qhull error (qh_new_qhull): start qhull_cmd argument with \"qhull \"\n");
-    qh_exit(qh_ERRinput);
-  }
-  qh_initqhull_start(NULL, outfile, errfile);
-  trace1((qh ferr, 1044, "qh_new_qhull: build new Qhull for %d %d-d points with %s\n", numpoints, dim, qhull_cmd));
-  exitcode = setjmp(qh errexit);
-  if (!exitcode)
-  {
-    qh NOerrexit = False;
-    qh_initflags(qhull_cmd);
-    if (qh DELAUNAY)
-      qh PROJECTdelaunay= True;
-    if (qh HALFspace) {
-      /* points is an array of halfspaces,
-         the last coordinate of each halfspace is its offset */
-      hulldim= dim-1;
-      qh_setfeasible(hulldim);
-      new_points= qh_sethalfspace_all(dim, numpoints, points, qh feasible_point);
-      new_ismalloc= True;
-      if (ismalloc)
-        qh_free(points);
-    }else {
-      hulldim= dim;
-      new_points= points;
-      new_ismalloc= ismalloc;
-    }
-    qh_init_B(new_points, numpoints, hulldim, new_ismalloc);
-    qh_qhull();
-    qh_check_output();
-    if (outfile) {
-      qh_produce_output();
-    }else {
-      qh_prepare_output();
-    }
-    if (qh VERIFYoutput && !qh STOPpoint && !qh STOPcone)
-      qh_check_points();
-  }
-  qh NOerrexit = True;
-  return exitcode;
-} /* new_qhull */
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="errexit">-</a>
-
-  qh_errexit( exitcode, facet, ridge )
-    report and exit from an error
-    report facet and ridge if non-NULL
-    reports useful information such as last point processed
-    set qh.FORCEoutput to print neighborhood of facet
-
-  see:
-    qh_errexit2() in libqhull.c for printing 2 facets
-
-  design:
-    check for error within error processing
-    compute qh.hulltime
-    print facet and ridge (if any)
-    report commandString, options, qh.furthest_id
-    print summary and statistics (including precision statistics)
-    if qh_ERRsingular
-      print help text for singular data set
-    exit program via long jump (if defined) or exit()
-*/
-void qh_errexit(int exitcode, facetT *facet, ridgeT *ridge) {
-
-  if (qh ERREXITcalled) {
-    qh_fprintf(qh ferr, 8126, "\nqhull error while processing previous error.  Exit program\n");
-    qh_exit(qh_ERRqhull);
-  }
-  qh ERREXITcalled= True;
-  if (!qh QHULLfinished)
-    qh hulltime= qh_CPUclock - qh hulltime;
-  qh_errprint("ERRONEOUS", facet, NULL, ridge, NULL);
-  qh_fprintf(qh ferr, 8127, "\nWhile executing: %s | %s\n", qh rbox_command, qh qhull_command);
-  qh_fprintf(qh ferr, 8128, "Options selected for Qhull %s:\n%s\n", qh_version, qh qhull_options);
-  if (qh furthest_id >= 0) {
-    qh_fprintf(qh ferr, 8129, "Last point added to hull was p%d.", qh furthest_id);
-    if (zzval_(Ztotmerge))
-      qh_fprintf(qh ferr, 8130, "  Last merge was #%d.", zzval_(Ztotmerge));
-    if (qh QHULLfinished)
-      qh_fprintf(qh ferr, 8131, "\nQhull has finished constructing the hull.");
-    else if (qh POSTmerging)
-      qh_fprintf(qh ferr, 8132, "\nQhull has started post-merging.");
-    qh_fprintf(qh ferr, 8133, "\n");
-  }
-  if (qh FORCEoutput && (qh QHULLfinished || (!facet && !ridge)))
-    qh_produce_output();
-  else if (exitcode != qh_ERRinput) {
-    if (exitcode != qh_ERRsingular && zzval_(Zsetplane) > qh hull_dim+1) {
-      qh_fprintf(qh ferr, 8134, "\nAt error exit:\n");
-      qh_printsummary(qh ferr);
-      if (qh PRINTstatistics) {
-        qh_collectstatistics();
-        qh_printstatistics(qh ferr, "at error exit");
-        qh_memstatistics(qh ferr);
-      }
-    }
-    if (qh PRINTprecision)
-      qh_printstats(qh ferr, qhstat precision, NULL);
-  }
-  if (!exitcode)
-    exitcode= qh_ERRqhull;
-  else if (exitcode == qh_ERRsingular)
-    qh_printhelp_singular(qh ferr);
-  else if (exitcode == qh_ERRprec && !qh PREmerge)
-    qh_printhelp_degenerate(qh ferr);
-  if (qh NOerrexit) {
-    qh_fprintf(qh ferr, 6187, "qhull error while ending program.  Exit program\n");
-    qh_exit(qh_ERRqhull);
-  }
-  qh ERREXITcalled= False;
-  qh NOerrexit= True;
-  longjmp(qh errexit, exitcode);
-} /* errexit */
-
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="errprint">-</a>
-
-  qh_errprint( fp, string, atfacet, otherfacet, atridge, atvertex )
-    prints out the information of facets and ridges to fp
-    also prints neighbors and geomview output
-
-  notes:
-    except for string, any parameter may be NULL
-*/
-void qh_errprint(const char *string, facetT *atfacet, facetT *otherfacet, ridgeT *atridge, vertexT *atvertex) {
-  int i;
-
-  if (atfacet) {
-    qh_fprintf(qh ferr, 8135, "%s FACET:\n", string);
-    qh_printfacet(qh ferr, atfacet);
-  }
-  if (otherfacet) {
-    qh_fprintf(qh ferr, 8136, "%s OTHER FACET:\n", string);
-    qh_printfacet(qh ferr, otherfacet);
-  }
-  if (atridge) {
-    qh_fprintf(qh ferr, 8137, "%s RIDGE:\n", string);
-    qh_printridge(qh ferr, atridge);
-    if (atridge->top && atridge->top != atfacet && atridge->top != otherfacet)
-      qh_printfacet(qh ferr, atridge->top);
-    if (atridge->bottom
-        && atridge->bottom != atfacet && atridge->bottom != otherfacet)
-      qh_printfacet(qh ferr, atridge->bottom);
-    if (!atfacet)
-      atfacet= atridge->top;
-    if (!otherfacet)
-      otherfacet= otherfacet_(atridge, atfacet);
-  }
-  if (atvertex) {
-    qh_fprintf(qh ferr, 8138, "%s VERTEX:\n", string);
-    qh_printvertex(qh ferr, atvertex);
-  }
-  if (qh fout && qh FORCEoutput && atfacet && !qh QHULLfinished && !qh IStracing) {
-    qh_fprintf(qh ferr, 8139, "ERRONEOUS and NEIGHBORING FACETS to output\n");
-    for (i=0; i < qh_PRINTEND; i++)  /* use fout for geomview output */
-      qh_printneighborhood(qh fout, qh PRINTout[i], atfacet, otherfacet,
-                            !qh_ALL);
-  }
-} /* errprint */
-
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="printfacetlist">-</a>
-
-  qh_printfacetlist( fp, facetlist, facets, printall )
-    print all fields for a facet list and/or set of facets to fp
-    if !printall,
-      only prints good facets
-
-  notes:
-    also prints all vertices
-*/
-void qh_printfacetlist(facetT *facetlist, setT *facets, boolT printall) {
-  facetT *facet, **facetp;
-
-  qh_printbegin(qh ferr, qh_PRINTfacets, facetlist, facets, printall);
-  FORALLfacet_(facetlist)
-    qh_printafacet(qh ferr, qh_PRINTfacets, facet, printall);
-  FOREACHfacet_(facets)
-    qh_printafacet(qh ferr, qh_PRINTfacets, facet, printall);
-  qh_printend(qh ferr, qh_PRINTfacets, facetlist, facets, printall);
-} /* printfacetlist */
-
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printhelp_degenerate">-</a>
-
-  qh_printhelp_degenerate( fp )
-    prints descriptive message for precision error
-
-  notes:
-    no message if qh_QUICKhelp
-*/
-void qh_printhelp_degenerate(FILE *fp) {
-
-  if (qh MERGEexact || qh PREmerge || qh JOGGLEmax < REALmax/2)
-    qh_fprintf(fp, 9368, "\n\
-A Qhull error has occurred.  Qhull should have corrected the above\n\
-precision error.  Please send the input and all of the output to\n\
-qhull_bug@qhull.org\n");
-  else if (!qh_QUICKhelp) {
-    qh_fprintf(fp, 9369, "\n\
-Precision problems were detected during construction of the convex hull.\n\
-This occurs because convex hull algorithms assume that calculations are\n\
-exact, but floating-point arithmetic has roundoff errors.\n\
-\n\
-To correct for precision problems, do not use 'Q0'.  By default, Qhull\n\
-selects 'C-0' or 'Qx' and merges non-convex facets.  With option 'QJ',\n\
-Qhull joggles the input to prevent precision problems.  See \"Imprecision\n\
-in Qhull\" (qh-impre.htm).\n\
-\n\
-If you use 'Q0', the output may include\n\
-coplanar ridges, concave ridges, and flipped facets.  In 4-d and higher,\n\
-Qhull may produce a ridge with four neighbors or two facets with the same \n\
-vertices.  Qhull reports these events when they occur.  It stops when a\n\
-concave ridge, flipped facet, or duplicate facet occurs.\n");
-#if REALfloat
-    qh_fprintf(fp, 9370, "\
-\n\
-Qhull is currently using single precision arithmetic.  The following\n\
-will probably remove the precision problems:\n\
-  - recompile qhull for realT precision(#define REALfloat 0 in user.h).\n");
-#endif
-    if (qh DELAUNAY && !qh SCALElast && qh MAXabs_coord > 1e4)
-      qh_fprintf(fp, 9371, "\
-\n\
-When computing the Delaunay triangulation of coordinates > 1.0,\n\
-  - use 'Qbb' to scale the last coordinate to [0,m] (max previous coordinate)\n");
-    if (qh DELAUNAY && !qh ATinfinity)
-      qh_fprintf(fp, 9372, "\
-When computing the Delaunay triangulation:\n\
-  - use 'Qz' to add a point at-infinity.  This reduces precision problems.\n");
-
-    qh_fprintf(fp, 9373, "\
-\n\
-If you need triangular output:\n\
-  - use option 'Qt' to triangulate the output\n\
-  - use option 'QJ' to joggle the input points and remove precision errors\n\
-  - use option 'Ft'.  It triangulates non-simplicial facets with added points.\n\
-\n\
-If you must use 'Q0',\n\
-try one or more of the following options.  They can not guarantee an output.\n\
-  - use 'QbB' to scale the input to a cube.\n\
-  - use 'Po' to produce output and prevent partitioning for flipped facets\n\
-  - use 'V0' to set min. distance to visible facet as 0 instead of roundoff\n\
-  - use 'En' to specify a maximum roundoff error less than %2.2g.\n\
-  - options 'Qf', 'Qbb', and 'QR0' may also help\n",
-               qh DISTround);
-    qh_fprintf(fp, 9374, "\
-\n\
-To guarantee simplicial output:\n\
-  - use option 'Qt' to triangulate the output\n\
-  - use option 'QJ' to joggle the input points and remove precision errors\n\
-  - use option 'Ft' to triangulate the output by adding points\n\
-  - use exact arithmetic (see \"Imprecision in Qhull\", qh-impre.htm)\n\
-");
-  }
-} /* printhelp_degenerate */
-
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="printhelp_narrowhull">-</a>
-
-  qh_printhelp_narrowhull( minangle )
-    Warn about a narrow hull
-
-  notes:
-    Alternatively, reduce qh_WARNnarrow in user.h
-
-*/
-void qh_printhelp_narrowhull(FILE *fp, realT minangle) {
-
-    qh_fprintf(fp, 9375, "qhull precision warning: \n\
-The initial hull is narrow (cosine of min. angle is %.16f).\n\
-Is the input lower dimensional (e.g., on a plane in 3-d)?  Qhull may\n\
-produce a wide facet.  Options 'QbB' (scale to unit box) or 'Qbb' (scale\n\
-last coordinate) may remove this warning.  Use 'Pp' to skip this warning.\n\
-See 'Limitations' in qh-impre.htm.\n",
-          -minangle);   /* convert from angle between normals to angle between facets */
-} /* printhelp_narrowhull */
-
-/*-<a                             href="qh-io.htm#TOC"
-  >-------------------------------</a><a name="printhelp_singular">-</a>
-
-  qh_printhelp_singular( fp )
-    prints descriptive message for singular input
-*/
-void qh_printhelp_singular(FILE *fp) {
-  facetT *facet;
-  vertexT *vertex, **vertexp;
-  realT min, max, *coord, dist;
-  int i,k;
-
-  qh_fprintf(fp, 9376, "\n\
-The input to qhull appears to be less than %d dimensional, or a\n\
-computation has overflowed.\n\n\
-Qhull could not construct a clearly convex simplex from points:\n",
-           qh hull_dim);
-  qh_printvertexlist(fp, "", qh facet_list, NULL, qh_ALL);
-  if (!qh_QUICKhelp)
-    qh_fprintf(fp, 9377, "\n\
-The center point is coplanar with a facet, or a vertex is coplanar\n\
-with a neighboring facet.  The maximum round off error for\n\
-computing distances is %2.2g.  The center point, facets and distances\n\
-to the center point are as follows:\n\n", qh DISTround);
-  qh_printpointid(fp, "center point", qh hull_dim, qh interior_point, -1);
-  qh_fprintf(fp, 9378, "\n");
-  FORALLfacets {
-    qh_fprintf(fp, 9379, "facet");
-    FOREACHvertex_(facet->vertices)
-      qh_fprintf(fp, 9380, " p%d", qh_pointid(vertex->point));
-    zinc_(Zdistio);
-    qh_distplane(qh interior_point, facet, &dist);
-    qh_fprintf(fp, 9381, " distance= %4.2g\n", dist);
-  }
-  if (!qh_QUICKhelp) {
-    if (qh HALFspace)
-      qh_fprintf(fp, 9382, "\n\
-These points are the dual of the given halfspaces.  They indicate that\n\
-the intersection is degenerate.\n");
-    qh_fprintf(fp, 9383,"\n\
-These points either have a maximum or minimum x-coordinate, or\n\
-they maximize the determinant for k coordinates.  Trial points\n\
-are first selected from points that maximize a coordinate.\n");
-    if (qh hull_dim >= qh_INITIALmax)
-      qh_fprintf(fp, 9384, "\n\
-Because of the high dimension, the min x-coordinate and max-coordinate\n\
-points are used if the determinant is non-zero.  Option 'Qs' will\n\
-do a better, though much slower, job.  Instead of 'Qs', you can change\n\
-the points by randomly rotating the input with 'QR0'.\n");
-  }
-  qh_fprintf(fp, 9385, "\nThe min and max coordinates for each dimension are:\n");
-  for (k=0; k < qh hull_dim; k++) {
-    min= REALmax;
-    max= -REALmin;
-    for (i=qh num_points, coord= qh first_point+k; i--; coord += qh hull_dim) {
-      maximize_(max, *coord);
-      minimize_(min, *coord);
-    }
-    qh_fprintf(fp, 9386, "  %d:  %8.4g  %8.4g  difference= %4.4g\n", k, min, max, max-min);
-  }
-  if (!qh_QUICKhelp) {
-    qh_fprintf(fp, 9387, "\n\
-If the input should be full dimensional, you have several options that\n\
-may determine an initial simplex:\n\
-  - use 'QJ'  to joggle the input and make it full dimensional\n\
-  - use 'QbB' to scale the points to the unit cube\n\
-  - use 'QR0' to randomly rotate the input for different maximum points\n\
-  - use 'Qs'  to search all points for the initial simplex\n\
-  - use 'En'  to specify a maximum roundoff error less than %2.2g.\n\
-  - trace execution with 'T3' to see the determinant for each point.\n",
-                     qh DISTround);
-#if REALfloat
-    qh_fprintf(fp, 9388, "\
-  - recompile qhull for realT precision(#define REALfloat 0 in libqhull.h).\n");
-#endif
-    qh_fprintf(fp, 9389, "\n\
-If the input is lower dimensional:\n\
-  - use 'QJ' to joggle the input and make it full dimensional\n\
-  - use 'Qbk:0Bk:0' to delete coordinate k from the input.  You should\n\
-    pick the coordinate with the least range.  The hull will have the\n\
-    correct topology.\n\
-  - determine the flat containing the points, rotate the points\n\
-    into a coordinate plane, and delete the other coordinates.\n\
-  - add one or more points to make the input full dimensional.\n\
-");
-  }
-} /* printhelp_singular */
-
-/*-<a                             href="qh-globa.htm#TOC"
-  >-------------------------------</a><a name="user_memsizes">-</a>
-
-  qh_user_memsizes()
-    allocate up to 10 additional, quick allocation sizes
-
-  notes:
-    increase maximum number of allocations in qh_initqhull_mem()
-*/
-void qh_user_memsizes(void) {
-
-  /* qh_memsize(size); */
-} /* user_memsizes */
diff --git a/extern/qhull/user.h b/extern/qhull/user.h
deleted file mode 100644
index 45b3202696a3..000000000000
--- a/extern/qhull/user.h
+++ /dev/null
@@ -1,855 +0,0 @@
-/*<html><pre>  -<a                             href="qh-user.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   user.h
-   user redefinable constants
-
-   see qh-user.htm.  see COPYING for copyright information.
-
-   before reading any code, review libqhull.h for data structure definitions and
-   the "qh" macro.
-
-Sections:
-   ============= qhull library constants ======================
-   ============= data types and configuration macros ==========
-   ============= performance related constants ================
-   ============= memory constants =============================
-   ============= joggle constants =============================
-   ============= conditional compilation ======================
-   ============= -merge constants- ============================
-
-Code flags --
-  NOerrors -- the code does not call qh_errexit()
-  WARN64 -- the code may be incompatible with 64-bit pointers
-
-*/
-
-#include <time.h>
-
-#ifndef qhDEFuser
-#define qhDEFuser 1
-
-/*============================================================*/
-/*============= qhull library constants ======================*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="filenamelen">-</a>
-
-  FILENAMElen -- max length for TI and TO filenames
-
-*/
-
-#define qh_FILENAMElen 500
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="msgcode">-</a>
-
-  msgcode -- Unique message codes for qh_fprintf
-
-  If add new messages, assign these values and increment.
-
-  def counters =  [27, 1047, 2059, 3025, 4068, 5003,
-     6241, 7079, 8143, 9410, 10000, 11026]
-
-  See: qh_ERR* [libqhull.h]
-*/
-
-#define MSG_TRACE0 0
-#define MSG_TRACE1 1000
-#define MSG_TRACE2 2000
-#define MSG_TRACE3 3000
-#define MSG_TRACE4 4000
-#define MSG_TRACE5 5000
-#define MSG_ERROR  6000   /* errors written to qh.ferr */
-#define MSG_WARNING 7000
-#define MSG_STDERR  8000  /* log messages Written to qh.ferr */
-#define MSG_OUTPUT  9000
-#define MSG_QHULL_ERROR 10000 /* errors thrown by QhullError [QhullError.h] */
-#define MSG_FIXUP  11000  /* FIXUP QH11... */
-#define MSG_MAXLEN  3000 /* qh_printhelp_degenerate() in user.c */
-
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="qh_OPTIONline">-</a>
-
-  qh_OPTIONline -- max length of an option line 'FO'
-*/
-#define qh_OPTIONline 80
-
-/*============================================================*/
-/*============= data types and configuration macros ==========*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="realT">-</a>
-
-  realT
-    set the size of floating point numbers
-
-  qh_REALdigits
-    maximimum number of significant digits
-
-  qh_REAL_1, qh_REAL_2n, qh_REAL_3n
-    format strings for printf
-
-  qh_REALmax, qh_REALmin
-    maximum and minimum (near zero) values
-
-  qh_REALepsilon
-    machine roundoff.  Maximum roundoff error for addition and multiplication.
-
-  notes:
-   Select whether to store floating point numbers in single precision (float)
-   or double precision (double).
-
-   Use 'float' to save about 8% in time and 25% in space.  This is particularly
-   helpful if high-d where convex hulls are space limited.  Using 'float' also
-   reduces the printed size of Qhull's output since numbers have 8 digits of
-   precision.
-
-   Use 'double' when greater arithmetic precision is needed.  This is needed
-   for Delaunay triangulations and Voronoi diagrams when you are not merging
-   facets.
-
-   If 'double' gives insufficient precision, your data probably includes
-   degeneracies.  If so you should use facet merging (done by default)
-   or exact arithmetic (see imprecision section of manual, qh-impre.htm).
-   You may also use option 'Po' to force output despite precision errors.
-
-   You may use 'long double', but many format statements need to be changed
-   and you may need a 'long double' square root routine.  S. Grundmann
-   (sg@eeiwzb.et.tu-dresden.de) has done this.  He reports that the code runs
-   much slower with little gain in precision.
-
-   WARNING: on some machines,    int f(){realT a= REALmax;return (a == REALmax);}
-      returns False.  Use (a > REALmax/2) instead of (a == REALmax).
-
-   REALfloat =   1      all numbers are 'float' type
-             =   0      all numbers are 'double' type
-*/
-#define REALfloat 0
-
-#if (REALfloat == 1)
-#define realT float
-#define REALmax FLT_MAX
-#define REALmin FLT_MIN
-#define REALepsilon FLT_EPSILON
-#define qh_REALdigits 8   /* maximum number of significant digits */
-#define qh_REAL_1 "%6.8g "
-#define qh_REAL_2n "%6.8g %6.8g\n"
-#define qh_REAL_3n "%6.8g %6.8g %6.8g\n"
-
-#elif (REALfloat == 0)
-#define realT double
-#define REALmax DBL_MAX
-#define REALmin DBL_MIN
-#define REALepsilon DBL_EPSILON
-#define qh_REALdigits 16    /* maximum number of significant digits */
-#define qh_REAL_1 "%6.16g "
-#define qh_REAL_2n "%6.16g %6.16g\n"
-#define qh_REAL_3n "%6.16g %6.16g %6.16g\n"
-
-#else
-#error unknown float option
-#endif
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="CPUclock">-</a>
-
-  qh_CPUclock
-    define the clock() function for reporting the total time spent by Qhull
-    returns CPU ticks as a 'long int'
-    qh_CPUclock is only used for reporting the total time spent by Qhull
-
-  qh_SECticks
-    the number of clock ticks per second
-
-  notes:
-    looks for CLOCKS_PER_SEC, CLOCKS_PER_SECOND, or assumes microseconds
-    to define a custom clock, set qh_CLOCKtype to 0
-
-    if your system does not use clock() to return CPU ticks, replace
-    qh_CPUclock with the corresponding function.  It is converted
-    to 'unsigned long' to prevent wrap-around during long runs.  By default,
-    <time.h> defines clock_t as 'long'
-
-   Set qh_CLOCKtype to
-
-     1          for CLOCKS_PER_SEC, CLOCKS_PER_SECOND, or microsecond
-                Note:  may fail if more than 1 hour elapsed time
-
-     2          use qh_clock() with POSIX times() (see global.c)
-*/
-#define qh_CLOCKtype 1  /* change to the desired number */
-
-#if (qh_CLOCKtype == 1)
-
-#if defined(CLOCKS_PER_SECOND)
-#define qh_CPUclock    ((unsigned long)clock())  /* return CPU clock */
-#define qh_SECticks CLOCKS_PER_SECOND
-
-#elif defined(CLOCKS_PER_SEC)
-#define qh_CPUclock    ((unsigned long)clock())  /* return CPU clock */
-#define qh_SECticks CLOCKS_PER_SEC
-
-#elif defined(CLK_TCK)
-#define qh_CPUclock    ((unsigned long)clock())  /* return CPU clock */
-#define qh_SECticks CLK_TCK
-
-#else
-#define qh_CPUclock    ((unsigned long)clock())  /* return CPU clock */
-#define qh_SECticks 1E6
-#endif
-
-#elif (qh_CLOCKtype == 2)
-#define qh_CPUclock    qh_clock()  /* return CPU clock */
-#define qh_SECticks 100
-
-#else /* qh_CLOCKtype == ? */
-#error unknown clock option
-#endif
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="RANDOM">-</a>
-
-  qh_RANDOMtype, qh_RANDOMmax, qh_RANDOMseed
-    define random number generator
-
-    qh_RANDOMint generates a random integer between 0 and qh_RANDOMmax.
-    qh_RANDOMseed sets the random number seed for qh_RANDOMint
-
-  Set qh_RANDOMtype (default 5) to:
-    1       for random() with 31 bits (UCB)
-    2       for rand() with RAND_MAX or 15 bits (system 5)
-    3       for rand() with 31 bits (Sun)
-    4       for lrand48() with 31 bits (Solaris)
-    5       for qh_rand() with 31 bits (included with Qhull)
-
-  notes:
-    Random numbers are used by rbox to generate point sets.  Random
-    numbers are used by Qhull to rotate the input ('QRn' option),
-    simulate a randomized algorithm ('Qr' option), and to simulate
-    roundoff errors ('Rn' option).
-
-    Random number generators differ between systems.  Most systems provide
-    rand() but the period varies.  The period of rand() is not critical
-    since qhull does not normally use random numbers.
-
-    The default generator is Park & Miller's minimal standard random
-    number generator [CACM 31:1195 '88].  It is included with Qhull.
-
-    If qh_RANDOMmax is wrong, qhull will report a warning and Geomview
-    output will likely be invisible.
-*/
-#define qh_RANDOMtype 5   /* *** change to the desired number *** */
-
-#if (qh_RANDOMtype == 1)
-#define qh_RANDOMmax ((realT)0x7fffffffUL)  /* 31 bits, random()/MAX */
-#define qh_RANDOMint random()
-#define qh_RANDOMseed_(seed) srandom(seed);
-
-#elif (qh_RANDOMtype == 2)
-#ifdef RAND_MAX
-#define qh_RANDOMmax ((realT)RAND_MAX)
-#else
-#define qh_RANDOMmax ((realT)32767)   /* 15 bits (System 5) */
-#endif
-#define qh_RANDOMint  rand()
-#define qh_RANDOMseed_(seed) srand((unsigned)seed);
-
-#elif (qh_RANDOMtype == 3)
-#define qh_RANDOMmax ((realT)0x7fffffffUL)  /* 31 bits, Sun */
-#define qh_RANDOMint  rand()
-#define qh_RANDOMseed_(seed) srand((unsigned)seed);
-
-#elif (qh_RANDOMtype == 4)
-#define qh_RANDOMmax ((realT)0x7fffffffUL)  /* 31 bits, lrand38()/MAX */
-#define qh_RANDOMint lrand48()
-#define qh_RANDOMseed_(seed) srand48(seed);
-
-#elif (qh_RANDOMtype == 5)
-#define qh_RANDOMmax ((realT)2147483646UL)  /* 31 bits, qh_rand/MAX */
-#define qh_RANDOMint qh_rand()
-#define qh_RANDOMseed_(seed) qh_srand(seed);
-/* unlike rand(), never returns 0 */
-
-#else
-#error: unknown random option
-#endif
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="ORIENTclock">-</a>
-
-  qh_ORIENTclock
-    0 for inward pointing normals by Geomview convention
-*/
-#define qh_ORIENTclock 0
-
-
-/*============================================================*/
-/*============= joggle constants =============================*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEdefault">-</a>
-
-qh_JOGGLEdefault
-default qh.JOGGLEmax is qh.DISTround * qh_JOGGLEdefault
-
-notes:
-rbox s r 100 | qhull QJ1e-15 QR0 generates 90% faults at distround 7e-16
-rbox s r 100 | qhull QJ1e-14 QR0 generates 70% faults
-rbox s r 100 | qhull QJ1e-13 QR0 generates 35% faults
-rbox s r 100 | qhull QJ1e-12 QR0 generates 8% faults
-rbox s r 100 | qhull QJ1e-11 QR0 generates 1% faults
-rbox s r 100 | qhull QJ1e-10 QR0 generates 0% faults
-rbox 1000 W0 | qhull QJ1e-12 QR0 generates 86% faults
-rbox 1000 W0 | qhull QJ1e-11 QR0 generates 20% faults
-rbox 1000 W0 | qhull QJ1e-10 QR0 generates 2% faults
-the later have about 20 points per facet, each of which may interfere
-
-pick a value large enough to avoid retries on most inputs
-*/
-#define qh_JOGGLEdefault 30000.0
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEincrease">-</a>
-
-qh_JOGGLEincrease
-factor to increase qh.JOGGLEmax on qh_JOGGLEretry or qh_JOGGLEagain
-*/
-#define qh_JOGGLEincrease 10.0
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEretry">-</a>
-
-qh_JOGGLEretry
-if ZZretry = qh_JOGGLEretry, increase qh.JOGGLEmax
-
-notes:
-try twice at the original value in case of bad luck the first time
-*/
-#define qh_JOGGLEretry 2
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEagain">-</a>
-
-qh_JOGGLEagain
-every following qh_JOGGLEagain, increase qh.JOGGLEmax
-
-notes:
-1 is OK since it's already failed qh_JOGGLEretry times
-*/
-#define qh_JOGGLEagain 1
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEmaxincrease">-</a>
-
-qh_JOGGLEmaxincrease
-maximum qh.JOGGLEmax due to qh_JOGGLEincrease
-relative to qh.MAXwidth
-
-notes:
-qh.joggleinput will retry at this value until qh_JOGGLEmaxretry
-*/
-#define qh_JOGGLEmaxincrease 1e-2
-
-/*-<a                             href="qh-user.htm#TOC"
->--------------------------------</a><a name="JOGGLEmaxretry">-</a>
-
-qh_JOGGLEmaxretry
-stop after qh_JOGGLEmaxretry attempts
-*/
-#define qh_JOGGLEmaxretry 100
-
-/*============================================================*/
-/*============= performance related constants ================*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="HASHfactor">-</a>
-
-  qh_HASHfactor
-    total hash slots / used hash slots.  Must be at least 1.1.
-
-  notes:
-    =2 for at worst 50% occupancy for qh hash_table and normally 25% occupancy
-*/
-#define qh_HASHfactor 2
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="VERIFYdirect">-</a>
-
-  qh_VERIFYdirect
-    with 'Tv' verify all points against all facets if op count is smaller
-
-  notes:
-    if greater, calls qh_check_bestdist() instead
-*/
-#define qh_VERIFYdirect 1000000
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="INITIALsearch">-</a>
-
-  qh_INITIALsearch
-     if qh_INITIALmax, search points up to this dimension
-*/
-#define qh_INITIALsearch 6
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="INITIALmax">-</a>
-
-  qh_INITIALmax
-    if dim >= qh_INITIALmax, use min/max coordinate points for initial simplex
-
-  notes:
-    from points with non-zero determinants
-    use option 'Qs' to override (much slower)
-*/
-#define qh_INITIALmax 8
-
-/*============================================================*/
-/*============= memory constants =============================*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MEMalign">-</a>
-
-  qh_MEMalign
-    memory alignment for qh_meminitbuffers() in global.c
-
-  notes:
-    to avoid bus errors, memory allocation must consider alignment requirements.
-    malloc() automatically takes care of alignment.   Since mem.c manages
-    its own memory, we need to explicitly specify alignment in
-    qh_meminitbuffers().
-
-    A safe choice is sizeof(double).  sizeof(float) may be used if doubles
-    do not occur in data structures and pointers are the same size.  Be careful
-    of machines (e.g., DEC Alpha) with large pointers.
-
-    If using gcc, best alignment is
-              #define qh_MEMalign fmax_(__alignof__(realT),__alignof__(void *))
-*/
-#define qh_MEMalign ((int)(fmax_(sizeof(realT), sizeof(void *))))
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MEMbufsize">-</a>
-
-  qh_MEMbufsize
-    size of additional memory buffers
-
-  notes:
-    used for qh_meminitbuffers() in global.c
-*/
-#define qh_MEMbufsize 0x10000       /* allocate 64K memory buffers */
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MEMinitbuf">-</a>
-
-  qh_MEMinitbuf
-    size of initial memory buffer
-
-  notes:
-    use for qh_meminitbuffers() in global.c
-*/
-#define qh_MEMinitbuf 0x20000      /* initially allocate 128K buffer */
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="INFINITE">-</a>
-
-  qh_INFINITE
-    on output, indicates Voronoi center at infinity
-*/
-#define qh_INFINITE  -10.101
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="DEFAULTbox">-</a>
-
-  qh_DEFAULTbox
-    default box size (Geomview expects 0.5)
-
-  qh_DEFAULTbox
-    default box size for integer coorindate (rbox only)
-*/
-#define qh_DEFAULTbox 0.5
-#define qh_DEFAULTzbox 1e6
-
-/*============================================================*/
-/*============= conditional compilation ======================*/
-/*============================================================*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="compiler">-</a>
-
-  __cplusplus
-    defined by C++ compilers
-
-  __MSC_VER
-    defined by Microsoft Visual C++
-
-  __MWERKS__ && __POWERPC__
-    defined by Metrowerks when compiling for the Power Macintosh
-
-  __STDC__
-    defined for strict ANSI C
-*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="COMPUTEfurthest">-</a>
-
-  qh_COMPUTEfurthest
-    compute furthest distance to an outside point instead of storing it with the facet
-    =1 to compute furthest
-
-  notes:
-    computing furthest saves memory but costs time
-      about 40% more distance tests for partitioning
-      removes facet->furthestdist
-*/
-#define qh_COMPUTEfurthest 0
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="KEEPstatistics">-</a>
-
-  qh_KEEPstatistics
-    =0 removes most of statistic gathering and reporting
-
-  notes:
-    if 0, code size is reduced by about 4%.
-*/
-#define qh_KEEPstatistics 1
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MAXoutside">-</a>
-
-  qh_MAXoutside
-    record outer plane for each facet
-    =1 to record facet->maxoutside
-
-  notes:
-    this takes a realT per facet and slightly slows down qhull
-    it produces better outer planes for geomview output
-*/
-#define qh_MAXoutside 1
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="NOmerge">-</a>
-
-  qh_NOmerge
-    disables facet merging if defined
-
-  notes:
-    This saves about 10% space.
-
-    Unless 'Q0'
-      qh_NOmerge sets 'QJ' to avoid precision errors
-
-    #define qh_NOmerge
-
-  see:
-    <a href="mem.h#NOmem">qh_NOmem</a> in mem.c
-
-    see user.c/user_eg.c for removing io.o
-*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="NOtrace">-</a>
-
-  qh_NOtrace
-    no tracing if defined
-
-  notes:
-    This saves about 5% space.
-
-    #define qh_NOtrace
-*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="QHpointer">-</a>
-
-  qh_QHpointer
-    access global data with pointer or static structure
-
-  qh_QHpointer  = 1     access globals via a pointer to allocated memory
-                        enables qh_saveqhull() and qh_restoreqhull()
-                        [2010, gcc] costs about 4% in time and 4% in space
-                        [2003, msvc] costs about 8% in time and 2% in space
-
-                = 0     qh_qh and qh_qhstat are static data structures
-                        only one instance of qhull() can be active at a time
-                        default value
-
-  qh_QHpointer_dllimport and qh_dllimport define qh_qh as __declspec(dllimport) [libqhull.h]
-  It is required for msvc-2005.  It is not needed for gcc.
-
-  notes:
-    all global variables for qhull are in qh, qhmem, and qhstat
-    qh is defined in libqhull.h
-    qhmem is defined in mem.h
-    qhstat is defined in stat.h
-    C++ build defines qh_QHpointer [libqhullp.pro, libqhullcpp.pro]
-
-  see:
-    user_eg.c for an example
-*/
-#ifdef qh_QHpointer
-#if qh_dllimport
-#error QH6207 Qhull error: Use qh_QHpointer_dllimport instead of qh_dllimport with qh_QHpointer
-#endif
-#else
-#define qh_QHpointer 0
-#if qh_QHpointer_dllimport
-#error QH6234 Qhull error: Use qh_dllimport instead of qh_QHpointer_dllimport when qh_QHpointer is not defined
-#endif
-#endif
-#if 0  /* sample code */
-    qhT *oldqhA, *oldqhB;
-
-    exitcode= qh_new_qhull(dim, numpoints, points, ismalloc,
-                      flags, outfile, errfile);
-    /* use results from first call to qh_new_qhull */
-    oldqhA= qh_save_qhull();
-    exitcode= qh_new_qhull(dimB, numpointsB, pointsB, ismalloc,
-                      flags, outfile, errfile);
-    /* use results from second call to qh_new_qhull */
-    oldqhB= qh_save_qhull();
-    qh_restore_qhull(&oldqhA);
-    /* use results from first call to qh_new_qhull */
-    qh_freeqhull(qh_ALL);  /* frees all memory used by first call */
-    qh_restore_qhull(&oldqhB);
-    /* use results from second call to qh_new_qhull */
-    qh_freeqhull(!qh_ALL); /* frees long memory used by second call */
-    qh_memfreeshort(&curlong, &totlong);  /* frees short memory and memory allocator */
-#endif
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="QUICKhelp">-</a>
-
-  qh_QUICKhelp
-    =1 to use abbreviated help messages, e.g., for degenerate inputs
-*/
-#define qh_QUICKhelp    0
-
-/*============================================================*/
-/*============= -merge constants- ============================*/
-/*============================================================*/
-/*
-   These constants effect facet merging.  You probably will not need
-   to modify them.  They effect the performance of facet merging.
-*/
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="DIMmergeVertex">-</a>
-
-  qh_DIMmergeVertex
-    max dimension for vertex merging (it is not effective in high-d)
-*/
-#define qh_DIMmergeVertex 6
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="DIMreduceBuild">-</a>
-
-  qh_DIMreduceBuild
-     max dimension for vertex reduction during build (slow in high-d)
-*/
-#define qh_DIMreduceBuild 5
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="BESTcentrum">-</a>
-
-  qh_BESTcentrum
-     if > 2*dim+n vertices, qh_findbestneighbor() tests centrums (faster)
-     else, qh_findbestneighbor() tests all vertices (much better merges)
-
-  qh_BESTcentrum2
-     if qh_BESTcentrum2 * DIM3 + BESTcentrum < #vertices tests centrums
-*/
-#define qh_BESTcentrum 20
-#define qh_BESTcentrum2 2
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="BESTnonconvex">-</a>
-
-  qh_BESTnonconvex
-    if > dim+n neighbors, qh_findbestneighbor() tests nonconvex ridges.
-
-  notes:
-    It is needed because qh_findbestneighbor is slow for large facets
-*/
-#define qh_BESTnonconvex 15
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MAXnewmerges">-</a>
-
-  qh_MAXnewmerges
-    if >n newmerges, qh_merge_nonconvex() calls qh_reducevertices_centrums.
-
-  notes:
-    It is needed because postmerge can merge many facets at once
-*/
-#define qh_MAXnewmerges 2
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MAXnewcentrum">-</a>
-
-  qh_MAXnewcentrum
-    if <= dim+n vertices (n approximates the number of merges),
-      reset the centrum in qh_updatetested() and qh_mergecycle_facets()
-
-  notes:
-    needed to reduce cost and because centrums may move too much if
-    many vertices in high-d
-*/
-#define qh_MAXnewcentrum 5
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="COPLANARratio">-</a>
-
-  qh_COPLANARratio
-    for 3-d+ merging, qh.MINvisible is n*premerge_centrum
-
-  notes:
-    for non-merging, it's DISTround
-*/
-#define qh_COPLANARratio 3
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="DISToutside">-</a>
-
-  qh_DISToutside
-    When is a point clearly outside of a facet?
-    Stops search in qh_findbestnew or qh_partitionall
-    qh_findbest uses qh.MINoutside since since it is only called if no merges.
-
-  notes:
-    'Qf' always searches for best facet
-    if !qh.MERGING, same as qh.MINoutside.
-    if qh_USEfindbestnew, increase value since neighboring facets may be ill-behaved
-      [Note: Zdelvertextot occurs normally with interior points]
-            RBOX 1000 s Z1 G1e-13 t1001188774 | QHULL Tv
-    When there is a sharp edge, need to move points to a
-    clearly good facet; otherwise may be lost in another partitioning.
-    if too big then O(n^2) behavior for partitioning in cone
-    if very small then important points not processed
-    Needed in qh_partitionall for
-      RBOX 1000 s Z1 G1e-13 t1001032651 | QHULL Tv
-    Needed in qh_findbestnew for many instances of
-      RBOX 1000 s Z1 G1e-13 t | QHULL Tv
-
-  See:
-    qh_DISToutside -- when is a point clearly outside of a facet
-    qh_SEARCHdist -- when is facet coplanar with the best facet?
-    qh_USEfindbestnew -- when to use qh_findbestnew for qh_partitionpoint()
-*/
-#define qh_DISToutside ((qh_USEfindbestnew ? 2 : 1) * \
-     fmax_((qh MERGING ? 2 : 1)*qh MINoutside, qh max_outside))
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="RATIOnearinside">-</a>
-
-  qh_RATIOnearinside
-    ratio of qh.NEARinside to qh.ONEmerge for retaining inside points for
-    qh_check_maxout().
-
-  notes:
-    This is overkill since do not know the correct value.
-    It effects whether 'Qc' reports all coplanar points
-    Not used for 'd' since non-extreme points are coplanar
-*/
-#define qh_RATIOnearinside 5
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="SEARCHdist">-</a>
-
-  qh_SEARCHdist
-    When is a facet coplanar with the best facet?
-    qh_findbesthorizon: all coplanar facets of the best facet need to be searched.
-
-  See:
-    qh_DISToutside -- when is a point clearly outside of a facet
-    qh_SEARCHdist -- when is facet coplanar with the best facet?
-    qh_USEfindbestnew -- when to use qh_findbestnew for qh_partitionpoint()
-*/
-#define qh_SEARCHdist ((qh_USEfindbestnew ? 2 : 1) * \
-      (qh max_outside + 2 * qh DISTround + fmax_( qh MINvisible, qh MAXcoplanar)));
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="USEfindbestnew">-</a>
-
-  qh_USEfindbestnew
-     Always use qh_findbestnew for qh_partitionpoint, otherwise use
-     qh_findbestnew if merged new facet or sharpnewfacets.
-
-  See:
-    qh_DISToutside -- when is a point clearly outside of a facet
-    qh_SEARCHdist -- when is facet coplanar with the best facet?
-    qh_USEfindbestnew -- when to use qh_findbestnew for qh_partitionpoint()
-*/
-#define qh_USEfindbestnew (zzval_(Ztotmerge) > 50)
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="WIDEcoplanar">-</a>
-
-  qh_WIDEcoplanar
-    n*MAXcoplanar or n*MINvisible for a WIDEfacet
-
-    if vertex is further than qh.WIDEfacet from the hyperplane
-    then its ridges are not counted in computing the area, and
-    the facet's centrum is frozen.
-
-  notes:
-   qh.WIDEfacet= max(qh.MAXoutside,qh_WIDEcoplanar*qh.MAXcoplanar,
-      qh_WIDEcoplanar * qh.MINvisible);
-*/
-#define qh_WIDEcoplanar 6
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="MAXnarrow">-</a>
-
-  qh_MAXnarrow
-    max. cosine in initial hull that sets qh.NARROWhull
-
-  notes:
-    If qh.NARROWhull, the initial partition does not make
-    coplanar points.  If narrow, a coplanar point can be
-    coplanar to two facets of opposite orientations and
-    distant from the exact convex hull.
-
-    Conservative estimate.  Don't actually see problems until it is -1.0
-*/
-#define qh_MAXnarrow -0.99999999
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="WARNnarrow">-</a>
-
-  qh_WARNnarrow
-    max. cosine in initial hull to warn about qh.NARROWhull
-
-  notes:
-    this is a conservative estimate.
-    Don't actually see problems until it is -1.0.  See qh-impre.htm
-*/
-#define qh_WARNnarrow -0.999999999999999
-
-/*-<a                             href="qh-user.htm#TOC"
-  >--------------------------------</a><a name="ZEROdelaunay">-</a>
-
-  qh_ZEROdelaunay
-    a zero Delaunay facet occurs for input sites coplanar with their convex hull
-    the last normal coefficient of a zero Delaunay facet is within
-        qh_ZEROdelaunay * qh.ANGLEround of 0
-
-  notes:
-    qh_ZEROdelaunay does not allow for joggled input ('QJ').
-
-    You can avoid zero Delaunay facets by surrounding the input with a box.
-
-    Use option 'PDk:-n' to explicitly define zero Delaunay facets
-      k= dimension of input sites (e.g., 3 for 3-d Delaunay triangulation)
-      n= the cutoff for zero Delaunay facets (e.g., 'PD3:-1e-12')
-*/
-#define qh_ZEROdelaunay 2
-
-#endif /* qh_DEFuser */
diff --git a/extern/qhull/usermem.c b/extern/qhull/usermem.c
deleted file mode 100644
index 722c0b42f871..000000000000
--- a/extern/qhull/usermem.c
+++ /dev/null
@@ -1,62 +0,0 @@
-/*<html><pre>  -<a                             href="qh-user.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   usermem.c
-   qh_exit(), qh_free(), and qh_malloc()
-
-   See README.txt.
-
-   If you redefine one of these functions you must redefine all of them.
-   If you recompile and load this file, then usermem.o will not be loaded
-   from qhull.a or qhull.lib
-
-   See libqhull.h for data structures, macros, and user-callable functions.
-   See user.c for qhull-related, redefinable functions
-   see user.h for user-definable constants
-   See userprintf.c for qh_fprintf and userprintf_rbox,c for qh_fprintf_rbox
-
-   Please report any errors that you fix to qhull@qhull.org
-*/
-
-#include "libqhull.h"
-
-#include <stdlib.h>
-
-/*-<a                             href="qh-user.htm#TOC"
-  >-------------------------------</a><a name="qh_exit">-</a>
-
-  qh_exit( exitcode )
-    exit program
-
-  notes:
-    same as exit()
-*/
-void qh_exit(int exitcode) {
-    exit(exitcode);
-} /* exit */
-
-/*-<a                             href="qh-user.htm#TOC"
->-------------------------------</a><a name="qh_free">-</a>
-
-qh_free( mem )
-free memory
-
-notes:
-same as free()
-*/
-void qh_free(void *mem) {
-    free(mem);
-} /* free */
-
-/*-<a                             href="qh-user.htm#TOC"
-    >-------------------------------</a><a name="qh_malloc">-</a>
-
-    qh_malloc( mem )
-      allocate memory
-
-    notes:
-      same as malloc()
-*/
-void *qh_malloc(size_t size) {
-    return malloc(size);
-} /* malloc */
diff --git a/extern/qhull/userprintf.c b/extern/qhull/userprintf.c
deleted file mode 100644
index d6c245b217b4..000000000000
--- a/extern/qhull/userprintf.c
+++ /dev/null
@@ -1,62 +0,0 @@
-/*<html><pre>  -<a                             href="qh-user.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   userprintf.c
-   qh_fprintf()
-
-   see README.txt  see COPYING.txt for copyright information.
-
-   If you recompile and load this file, then userprintf.o will not be loaded
-   from qhull.a or qhull.lib
-
-   See libqhull.h for data structures, macros, and user-callable functions.
-   See user.c for qhull-related, redefinable functions
-   see user.h for user-definable constants
-   See usermem.c for qh_exit(), qh_free(), and qh_malloc()
-   see Qhull.cpp and RboxPoints.cpp for examples.
-
-   Please report any errors that you fix to qhull@qhull.org
-*/
-
-#include "libqhull.h"
-
-#include <stdarg.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-/*-<a                             href="qh-user.htm#TOC"
-   >-------------------------------</a><a name="qh_fprintf">-</a>
-
-   qh_fprintf(fp, msgcode, format, list of args )
-     print arguments to *fp according to format
-     Use qh_fprintf_rbox() for rboxlib.c
-
-   notes:
-     same as fprintf()
-     fgets() is not trapped like fprintf()
-     exit qh_fprintf via qh_errexit()
-*/
-
-void qh_fprintf(FILE *fp, int msgcode, const char *fmt, ... ) {
-    va_list args;
-
-    if (!fp) {
-        fprintf(stderr, "QH6232 Qhull internal error (userprintf.c): fp is 0.  Wrong qh_fprintf called.\n");
-        qh_errexit(6232, NULL, NULL);
-    }
-    va_start(args, fmt);
-#if qh_QHpointer
-    if (qh_qh && qh ANNOTATEoutput) {
-#else
-    if (qh ANNOTATEoutput) {
-#endif
-      fprintf(fp, "[QH%.4d]", msgcode);
-    }else if (msgcode >= MSG_ERROR && msgcode < MSG_STDERR ) {
-      fprintf(fp, "QH%.4d ", msgcode);
-    }
-    vfprintf(fp, fmt, args);
-    va_end(args);
-
-    /* Place debugging traps here. Use with option 'Tn' */
-
-} /* qh_fprintf */
diff --git a/extern/qhull/userprintf_rbox.c b/extern/qhull/userprintf_rbox.c
deleted file mode 100644
index 0e1a12ac3f34..000000000000
--- a/extern/qhull/userprintf_rbox.c
+++ /dev/null
@@ -1,52 +0,0 @@
-/*<html><pre>  -<a                             href="qh-user.htm"
-  >-------------------------------</a><a name="TOP">-</a>
-
-   userprintf_rbox.c
-   qh_fprintf_rbox()
-
-   see README.txt  see COPYING.txt for copyright information.
-
-   If you recompile and load this file, then userprintf_rbox.o will not be loaded
-   from qhull.a or qhull.lib
-
-   See libqhull.h for data structures, macros, and user-callable functions.
-   See user.c for qhull-related, redefinable functions
-   see user.h for user-definable constants
-   See usermem.c for qh_exit(), qh_free(), and qh_malloc()
-   see Qhull.cpp and RboxPoints.cpp for examples.
-
-   Please report any errors that you fix to qhull@qhull.org
-*/
-
-#include "libqhull.h"
-
-#include <stdarg.h>
-#include <stdio.h>
-#include <stdlib.h>
-
-/*-<a                             href="qh-user.htm#TOC"
-   >-------------------------------</a><a name="qh_fprintf_rbox">-</a>
-
-   qh_fprintf_rbox(fp, msgcode, format, list of args )
-     print arguments to *fp according to format
-     Use qh_fprintf_rbox() for rboxlib.c
-
-   notes:
-     same as fprintf()
-     fgets() is not trapped like fprintf()
-     exit qh_fprintf_rbox via qh_errexit_rbox()
-*/
-
-void qh_fprintf_rbox(FILE *fp, int msgcode, const char *fmt, ... ) {
-    va_list args;
-
-    if (!fp) {
-        fprintf(stderr, "QH6231 Qhull internal error (userprintf.c): fp is 0.  Wrong qh_fprintf_rbox called.\n");
-        qh_errexit_rbox(6231);
-    }
-    if (msgcode >= MSG_ERROR && msgcode < MSG_STDERR)
-      fprintf(fp, "QH%.4d ", msgcode);
-    va_start(args, fmt);
-    vfprintf(fp, fmt, args);
-    va_end(args);
-} /* qh_fprintf_rbox */
diff --git a/extern/ttconv/global_defines.h b/extern/ttconv/global_defines.h
deleted file mode 100644
index 04dd41e02ac1..000000000000
--- a/extern/ttconv/global_defines.h
+++ /dev/null
@@ -1,41 +0,0 @@
-/* -*- mode: c; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-/*
-** ~ppr/src/include/global_defines.h
-** Copyright 1995, Trinity College Computing Center.
-** Written by David Chappell.
-**
-** Permission to use, copy, modify, and distribute this software and its
-** documentation for any purpose and without fee is hereby granted, provided
-** that the above copyright notice appear in all copies and that both that
-** copyright notice and this permission notice appear in supporting
-** documentation.  This software and documentation are provided "as is" without
-** express or implied warranty.
-**
-** The PPR project was begun 28 December 1992.
-**
-** There are many things in this file you may want to change.  This file
-** should be the first include file.  It is the header file for the whole
-** project.
-**
-** This file was last modified 22 December 1995.
-*/
-
-/*
-** TRUE and FALSE
-**  The code makes liberal use of these macros.
-*/
-#if !defined(FALSE)
-#define FALSE 0
-#endif
-#if !defined(TRUE)
-#define TRUE !FALSE
-#endif
-
-/* end of file */
diff --git a/extern/ttconv/pprdrv.h b/extern/ttconv/pprdrv.h
deleted file mode 100644
index 39e81fee7f0c..000000000000
--- a/extern/ttconv/pprdrv.h
+++ /dev/null
@@ -1,113 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-/*
-** ~ppr/src/include/pprdrv.h
-** Copyright 1995, Trinity College Computing Center.
-** Written by David Chappell.
-**
-** Permission to use, copy, modify, and distribute this software and its
-** documentation for any purpose and without fee is hereby granted, provided
-** that the above copyright notice appear in all copies and that both that
-** copyright notice and this permission notice appear in supporting
-** documentation.  This software is provided "as is" without express or
-** implied warranty.
-**
-** This file last revised 5 December 1995.
-*/
-
-#include <vector>
-#include <cassert>
-
-/*
- * Encapsulates all of the output to write to an arbitrary output
- * function.  This both removes the hardcoding of output to go to stdout
- * and makes output thread-safe.  Michael Droettboom [06-07-07]
- */
-class TTStreamWriter
-{
- private:
-    // Private copy and assignment
-    TTStreamWriter& operator=(const TTStreamWriter& other);
-    TTStreamWriter(const TTStreamWriter& other);
-
- public:
-    TTStreamWriter() { }
-    virtual ~TTStreamWriter() { }
-
-    virtual void write(const char*) = 0;
-
-    virtual void printf(const char* format, ...);
-    virtual void put_char(int val);
-    virtual void puts(const char* a);
-    virtual void putline(const char* a);
-};
-
-class TTDictionaryCallback
-{
-private:
-    // Private copy and assignment
-    TTDictionaryCallback& operator=(const TTStreamWriter& other);
-    TTDictionaryCallback(const TTStreamWriter& other);
-
-public:
-    TTDictionaryCallback() { }
-    virtual ~TTDictionaryCallback() { }
-
-    virtual void add_pair(const char* key, const char* value) = 0;
-};
-
-void replace_newlines_with_spaces(char* a);
-
-/*
- * A simple class for all ttconv exceptions.
- */
-class TTException
-{
-    const char* message;
-    TTException& operator=(const TTStreamWriter& other);
-    TTException(const TTStreamWriter& other);
-
-public:
-    TTException(const char* message_) : message(message_) { }
-    const char* getMessage()
-    {
-        return message;
-    }
-};
-
-/*
-** No debug code will be included if this
-** is not defined:
-*/
-/* #define DEBUG 1 */
-
-/*
-** Uncomment the defines for the debugging
-** code you want to have included.
-*/
-#ifdef DEBUG
-#define DEBUG_TRUETYPE          /* truetype fonts, conversion to Postscript */
-#endif
-
-/* Do not change anything below this line. */
-
-enum font_type_enum
-{
-    PS_TYPE_3  = 3,
-    PS_TYPE_42 = 42,
-    PS_TYPE_42_3_HYBRID = 43,
-    PDF_TYPE_3 = -3
-};
-
-/* routines in pprdrv_tt.c */
-void insert_ttfont(const char *filename, TTStreamWriter& stream, font_type_enum target_type, std::vector<int>& glyph_ids);
-
-void get_pdf_charprocs(const char *filename, std::vector<int>& glyph_ids, TTDictionaryCallback& dict);
-
-/* end of file */
diff --git a/extern/ttconv/pprdrv_tt.cpp b/extern/ttconv/pprdrv_tt.cpp
deleted file mode 100644
index 7677e8210505..000000000000
--- a/extern/ttconv/pprdrv_tt.cpp
+++ /dev/null
@@ -1,1468 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-/*
-** ~ppr/src/pprdrv/pprdrv_tt.c
-** Copyright 1995, Trinity College Computing Center.
-** Written by David Chappell.
-**
-** Permission to use, copy, modify, and distribute this software and its
-** documentation for any purpose and without fee is hereby granted, provided
-** that the above copyright notice appear in all copies and that both that
-** copyright notice and this permission notice appear in supporting
-** documentation.  This software is provided "as is" without express or
-** implied warranty.
-**
-** TrueType font support.  These functions allow PPR to generate
-** PostScript fonts from Microsoft compatible TrueType font files.
-**
-** Last revised 19 December 1995.
-*/
-
-#include "global_defines.h"
-#include <cstdio>
-#include <cstdlib>
-#include <cstring>
-#include "pprdrv.h"
-#include "truetype.h"
-#include <sstream>
-#ifdef _POSIX_C_SOURCE
-#    undef _POSIX_C_SOURCE
-#endif
-#ifdef _XOPEN_SOURCE
-#    undef _XOPEN_SOURCE
-#endif
-#include <Python.h>
-
-/*==========================================================================
-** Convert the indicated Truetype font file to a type 42 or type 3
-** PostScript font and insert it in the output stream.
-**
-** All the routines from here to the end of file file are involved
-** in this process.
-==========================================================================*/
-
-/*---------------------------------------
-** Endian conversion routines.
-** These routines take a BYTE pointer
-** and return a value formed by reading
-** bytes starting at that point.
-**
-** These routines read the big-endian
-** values which are used in TrueType
-** font files.
----------------------------------------*/
-
-/*
-** Get an Unsigned 32 bit number.
-*/
-ULONG getULONG(BYTE *p)
-{
-    int x;
-    ULONG val=0;
-
-    for (x=0; x<4; x++)
-    {
-        val *= 0x100;
-        val += p[x];
-    }
-
-    return val;
-} /* end of ftohULONG() */
-
-/*
-** Get an unsigned 16 bit number.
-*/
-USHORT getUSHORT(BYTE *p)
-{
-    int x;
-    USHORT val=0;
-
-    for (x=0; x<2; x++)
-    {
-        val *= 0x100;
-        val += p[x];
-    }
-
-    return val;
-} /* end of getUSHORT() */
-
-/*
-** Get a 32 bit fixed point (16.16) number.
-** A special structure is used to return the value.
-*/
-Fixed getFixed(BYTE *s)
-{
-    Fixed val={0,0};
-
-    val.whole = ((s[0] * 256) + s[1]);
-    val.fraction = ((s[2] * 256) + s[3]);
-
-    return val;
-} /* end of getFixed() */
-
-/*-----------------------------------------------------------------------
-** Load a TrueType font table into memory and return a pointer to it.
-** The font's "file" and "offset_table" fields must be set before this
-** routine is called.
-**
-** This first argument is a TrueType font structure, the second
-** argument is the name of the table to retrieve.  A table name
-** is always 4 characters, though the last characters may be
-** padding spaces.
------------------------------------------------------------------------*/
-BYTE *GetTable(struct TTFONT *font, const char *name)
-{
-    BYTE *ptr;
-    ULONG x;
-
-#ifdef DEBUG_TRUETYPE
-    debug("GetTable(file,font,\"%s\")",name);
-#endif
-
-    /* We must search the table directory. */
-    ptr = font->offset_table + 12;
-    x=0;
-    while (TRUE)
-    {
-        if ( strncmp((const char*)ptr,name,4) == 0 )
-        {
-            ULONG offset,length;
-            BYTE *table;
-
-            offset = getULONG( ptr + 8 );
-            length = getULONG( ptr + 12 );
-            table = (BYTE*)calloc( sizeof(BYTE), length );
-
-            try
-            {
-#ifdef DEBUG_TRUETYPE
-                debug("Loading table \"%s\" from offset %d, %d bytes",name,offset,length);
-#endif
-
-                if ( fseek( font->file, (long)offset, SEEK_SET ) )
-                {
-                    throw TTException("TrueType font may be corrupt (reason 3)");
-                }
-
-                if ( fread(table,sizeof(BYTE),length,font->file) != (sizeof(BYTE) * length))
-                {
-                    throw TTException("TrueType font may be corrupt (reason 4)");
-                }
-            }
-            catch (TTException& )
-            {
-                free(table);
-                throw;
-            }
-            return table;
-        }
-
-        x++;
-        ptr += 16;
-        if (x == font->numTables)
-        {
-            throw TTException("TrueType font is missing table");
-        }
-    }
-
-} /* end of GetTable() */
-
-static void utf16be_to_ascii(char *dst, char *src, size_t length) {
-    ++src;
-    for (; *src != 0 && length; dst++, src += 2, --length) {
-        *dst = *src;
-    }
-}
-
-/*--------------------------------------------------------------------
-** Load the 'name' table, get information from it,
-** and store that information in the font structure.
-**
-** The 'name' table contains information such as the name of
-** the font, and it's PostScript name.
---------------------------------------------------------------------*/
-void Read_name(struct TTFONT *font)
-{
-    BYTE *table_ptr,*ptr2;
-    int numrecords;                     /* Number of strings in this table */
-    BYTE *strings;                      /* pointer to start of string storage */
-    int x;
-    int platform;                       /* Current platform id */
-    int nameid;                         /* name id, */
-    int offset,length;                  /* offset and length of string. */
-
-#ifdef DEBUG_TRUETYPE
-    debug("Read_name()");
-#endif
-
-    table_ptr = NULL;
-
-    /* Set default values to avoid future references to undefined
-     * pointers. Allocate each of PostName, FullName, FamilyName,
-     * Version, and Style separately so they can be freed safely. */
-    for (char **ptr = &(font->PostName); ptr != NULL; )
-    {
-        *ptr = (char*) calloc(sizeof(char), strlen("unknown")+1);
-        strcpy(*ptr, "unknown");
-        if (ptr == &(font->PostName)) ptr = &(font->FullName);
-        else if (ptr == &(font->FullName)) ptr = &(font->FamilyName);
-        else if (ptr == &(font->FamilyName)) ptr = &(font->Version);
-        else if (ptr == &(font->Version)) ptr = &(font->Style);
-        else ptr = NULL;
-    }
-    font->Copyright = font->Trademark = (char*)NULL;
-
-    table_ptr = GetTable(font, "name");         /* pointer to table */
-    try
-    {
-        numrecords = getUSHORT( table_ptr + 2 );  /* number of names */
-        strings = table_ptr + getUSHORT( table_ptr + 4 ); /* start of string storage */
-
-        ptr2 = table_ptr + 6;
-        for (x=0; x < numrecords; x++,ptr2+=12)
-        {
-            platform = getUSHORT(ptr2);
-            nameid = getUSHORT(ptr2+6);
-            length = getUSHORT(ptr2+8);
-            offset = getUSHORT(ptr2+10);
-
-#ifdef DEBUG_TRUETYPE
-            debug("platform %d, encoding %d, language 0x%x, name %d, offset %d, length %d",
-                  platform,encoding,language,nameid,offset,length);
-#endif
-
-            /* Copyright notice */
-            if ( platform == 1 && nameid == 0 )
-            {
-                font->Copyright = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->Copyright,(const char*)strings+offset,length);
-                font->Copyright[length]=(char)NULL;
-                replace_newlines_with_spaces(font->Copyright);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->Copyright=\"%s\"",font->Copyright);
-#endif
-                continue;
-            }
-
-
-            /* Font Family name */
-            if ( platform == 1 && nameid == 1 )
-            {
-                free(font->FamilyName);
-                font->FamilyName = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->FamilyName,(const char*)strings+offset,length);
-                font->FamilyName[length]=(char)NULL;
-                replace_newlines_with_spaces(font->FamilyName);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->FamilyName=\"%s\"",font->FamilyName);
-#endif
-                continue;
-            }
-
-
-            /* Font Family name */
-            if ( platform == 1 && nameid == 2 )
-            {
-                free(font->Style);
-                font->Style = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->Style,(const char*)strings+offset,length);
-                font->Style[length]=(char)NULL;
-                replace_newlines_with_spaces(font->Style);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->Style=\"%s\"",font->Style);
-#endif
-                continue;
-            }
-
-
-            /* Full Font name */
-            if ( platform == 1 && nameid == 4 )
-            {
-                free(font->FullName);
-                font->FullName = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->FullName,(const char*)strings+offset,length);
-                font->FullName[length]=(char)NULL;
-                replace_newlines_with_spaces(font->FullName);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->FullName=\"%s\"",font->FullName);
-#endif
-                continue;
-            }
-
-
-            /* Version string */
-            if ( platform == 1 && nameid == 5 )
-            {
-                free(font->Version);
-                font->Version = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->Version,(const char*)strings+offset,length);
-                font->Version[length]=(char)NULL;
-                replace_newlines_with_spaces(font->Version);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->Version=\"%s\"",font->Version);
-#endif
-                continue;
-            }
-
-
-            /* PostScript name */
-            if ( platform == 1 && nameid == 6 )
-            {
-                free(font->PostName);
-                font->PostName = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->PostName,(const char*)strings+offset,length);
-                font->PostName[length]=(char)NULL;
-                replace_newlines_with_spaces(font->PostName);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->PostName=\"%s\"",font->PostName);
-#endif
-                continue;
-            }
-
-            /* Microsoft-format PostScript name */
-            if ( platform == 3 && nameid == 6 )
-            {
-                free(font->PostName);
-                font->PostName = (char*)calloc(sizeof(char),length+1);
-                utf16be_to_ascii(font->PostName, (char *)strings+offset, length);
-                font->PostName[length/2]=(char)NULL;
-                replace_newlines_with_spaces(font->PostName);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->PostName=\"%s\"",font->PostName);
-#endif
-                continue;
-            }
-
-
-            /* Trademark string */
-            if ( platform == 1 && nameid == 7 )
-            {
-                font->Trademark = (char*)calloc(sizeof(char),length+1);
-                strncpy(font->Trademark,(const char*)strings+offset,length);
-                font->Trademark[length]=(char)NULL;
-                replace_newlines_with_spaces(font->Trademark);
-
-#ifdef DEBUG_TRUETYPE
-                debug("font->Trademark=\"%s\"",font->Trademark);
-#endif
-                continue;
-            }
-        }
-    }
-    catch (TTException& )
-    {
-        free(table_ptr);
-        throw;
-    }
-
-    free(table_ptr);
-} /* end of Read_name() */
-
-/*---------------------------------------------------------------------
-** Write the header for a PostScript font.
----------------------------------------------------------------------*/
-void ttfont_header(TTStreamWriter& stream, struct TTFONT *font)
-{
-    int VMMin;
-    int VMMax;
-
-    /*
-    ** To show that it is a TrueType font in PostScript format,
-    ** we will begin the file with a specific string.
-    ** This string also indicates the version of the TrueType
-    ** specification on which the font is based and the
-    ** font manufacturer's revision number for the font.
-    */
-    if ( font->target_type == PS_TYPE_42 ||
-            font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.printf("%%!PS-TrueTypeFont-%d.%d-%d.%d\n",
-                      font->TTVersion.whole, font->TTVersion.fraction,
-                      font->MfrRevision.whole, font->MfrRevision.fraction);
-    }
-
-    /* If it is not a Type 42 font, we will use a different format. */
-    else
-    {
-        stream.putline("%!PS-Adobe-3.0 Resource-Font");
-    }       /* See RBIIp 641 */
-
-    /* We will make the title the name of the font. */
-    stream.printf("%%%%Title: %s\n",font->FullName);
-
-    /* If there is a Copyright notice, put it here too. */
-    if ( font->Copyright != (char*)NULL )
-    {
-        stream.printf("%%%%Copyright: %s\n",font->Copyright);
-    }
-
-    /* We created this file. */
-    if ( font->target_type == PS_TYPE_42 )
-    {
-        stream.putline("%%Creator: Converted from TrueType to type 42 by PPR");
-    }
-    else if (font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.putline("%%Creator: Converted from TypeType to type 42/type 3 hybrid by PPR");
-    }
-    else
-    {
-        stream.putline("%%Creator: Converted from TrueType to type 3 by PPR");
-    }
-
-    /* If VM usage information is available, print it. */
-    if ( font->target_type == PS_TYPE_42 || font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        VMMin = (int)getULONG( font->post_table + 16 );
-        VMMax = (int)getULONG( font->post_table + 20 );
-        if ( VMMin > 0 && VMMax > 0 )
-            stream.printf("%%%%VMUsage: %d %d\n",VMMin,VMMax);
-    }
-
-    /* Start the dictionary which will eventually */
-    /* become the font. */
-    if (font->target_type == PS_TYPE_42)
-    {
-        stream.putline("15 dict begin");
-    }
-    else
-    {
-        stream.putline("25 dict begin");
-
-        /* Type 3 fonts will need some subroutines here. */
-        stream.putline("/_d{bind def}bind def");
-        stream.putline("/_m{moveto}_d");
-        stream.putline("/_l{lineto}_d");
-        stream.putline("/_cl{closepath eofill}_d");
-        stream.putline("/_c{curveto}_d");
-        stream.putline("/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d");
-        stream.putline("/_e{exec}_d");
-    }
-
-    stream.printf("/FontName /%s def\n",font->PostName);
-    stream.putline("/PaintType 0 def");
-
-    if (font->target_type == PS_TYPE_42 || font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.putline("/FontMatrix[1 0 0 1 0 0]def");
-    }
-    else
-    {
-        stream.putline("/FontMatrix[.001 0 0 .001 0 0]def");
-    }
-
-    stream.printf("/FontBBox[%d %d %d %d]def\n",font->llx-1,font->lly-1,font->urx,font->ury);
-    if (font->target_type == PS_TYPE_42 || font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.printf("/FontType 42 def\n", font->target_type );
-    }
-    else
-    {
-        stream.printf("/FontType 3 def\n", font->target_type );
-    }
-} /* end of ttfont_header() */
-
-/*-------------------------------------------------------------
-** Define the encoding array for this font.
-** Since we don't really want to deal with converting all of
-** the possible font encodings in the wild to a standard PS
-** one, we just explicitly create one for each font.
--------------------------------------------------------------*/
-void ttfont_encoding(TTStreamWriter& stream, struct TTFONT *font, std::vector<int>& glyph_ids, font_type_enum target_type)
-{
-    if (target_type == PS_TYPE_3 || target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.printf("/Encoding [ ");
-
-        for (std::vector<int>::const_iterator i = glyph_ids.begin();
-                i != glyph_ids.end(); ++i)
-        {
-            const char* name = ttfont_CharStrings_getname(font, *i);
-            stream.printf("/%s ", name);
-        }
-
-        stream.printf("] def\n");
-    }
-    else
-    {
-        stream.putline("/Encoding StandardEncoding def");
-    }
-} /* end of ttfont_encoding() */
-
-/*-----------------------------------------------------------
-** Create the optional "FontInfo" sub-dictionary.
------------------------------------------------------------*/
-void ttfont_FontInfo(TTStreamWriter& stream, struct TTFONT *font)
-{
-    Fixed ItalicAngle;
-
-    /* We create a sub dictionary named "FontInfo" where we */
-    /* store information which though it is not used by the */
-    /* interpreter, is useful to some programs which will */
-    /* be printing with the font. */
-    stream.putline("/FontInfo 10 dict dup begin");
-
-    /* These names come from the TrueType font's "name" table. */
-    stream.printf("/FamilyName (%s) def\n",font->FamilyName);
-    stream.printf("/FullName (%s) def\n",font->FullName);
-
-    if ( font->Copyright != (char*)NULL || font->Trademark != (char*)NULL )
-    {
-        stream.printf("/Notice (%s",
-                      font->Copyright != (char*)NULL ? font->Copyright : "");
-        stream.printf("%s%s) def\n",
-                      font->Trademark != (char*)NULL ? " " : "",
-                      font->Trademark != (char*)NULL ? font->Trademark : "");
-    }
-
-    /* This information is not quite correct. */
-    stream.printf("/Weight (%s) def\n",font->Style);
-
-    /* Some fonts have this as "version". */
-    stream.printf("/Version (%s) def\n",font->Version);
-
-    /* Some information from the "post" table. */
-    ItalicAngle = getFixed( font->post_table + 4 );
-    stream.printf("/ItalicAngle %d.%d def\n",ItalicAngle.whole,ItalicAngle.fraction);
-    stream.printf("/isFixedPitch %s def\n", getULONG( font->post_table + 12 ) ? "true" : "false" );
-    stream.printf("/UnderlinePosition %d def\n", (int)getFWord( font->post_table + 8 ) );
-    stream.printf("/UnderlineThickness %d def\n", (int)getFWord( font->post_table + 10 ) );
-    stream.putline("end readonly def");
-} /* end of ttfont_FontInfo() */
-
-/*-------------------------------------------------------------------
-** sfnts routines
-** These routines generate the PostScript "sfnts" array which
-** contains one or more strings which contain a reduced version
-** of the TrueType font.
-**
-** A number of functions are required to accomplish this rather
-** complicated task.
--------------------------------------------------------------------*/
-int string_len;
-int line_len;
-int in_string;
-
-/*
-** This is called once at the start.
-*/
-void sfnts_start(TTStreamWriter& stream)
-{
-    stream.puts("/sfnts[<");
-    in_string=TRUE;
-    string_len=0;
-    line_len=8;
-} /* end of sfnts_start() */
-
-/*
-** Write a BYTE as a hexadecimal value as part of the sfnts array.
-*/
-void sfnts_pputBYTE(TTStreamWriter& stream, BYTE n)
-{
-    static const char hexdigits[]="0123456789ABCDEF";
-
-    if (!in_string)
-    {
-        stream.put_char('<');
-        string_len=0;
-        line_len++;
-        in_string=TRUE;
-    }
-
-    stream.put_char( hexdigits[ n / 16 ] );
-    stream.put_char( hexdigits[ n % 16 ] );
-    string_len++;
-    line_len+=2;
-
-    if (line_len > 70)
-    {
-        stream.put_char('\n');
-        line_len=0;
-    }
-
-} /* end of sfnts_pputBYTE() */
-
-/*
-** Write a USHORT as a hexadecimal value as part of the sfnts array.
-*/
-void sfnts_pputUSHORT(TTStreamWriter& stream, USHORT n)
-{
-    sfnts_pputBYTE(stream, n / 256);
-    sfnts_pputBYTE(stream, n % 256);
-} /* end of sfnts_pputUSHORT() */
-
-/*
-** Write a ULONG as part of the sfnts array.
-*/
-void sfnts_pputULONG(TTStreamWriter& stream, ULONG n)
-{
-    int x1,x2,x3;
-
-    x1 = n % 256;
-    n /= 256;
-    x2 = n % 256;
-    n /= 256;
-    x3 = n % 256;
-    n /= 256;
-
-    sfnts_pputBYTE(stream, n);
-    sfnts_pputBYTE(stream, x3);
-    sfnts_pputBYTE(stream, x2);
-    sfnts_pputBYTE(stream, x1);
-} /* end of sfnts_pputULONG() */
-
-/*
-** This is called whenever it is
-** necessary to end a string in the sfnts array.
-**
-** (The array must be broken into strings which are
-** no longer than 64K characters.)
-*/
-void sfnts_end_string(TTStreamWriter& stream)
-{
-    if (in_string)
-    {
-        string_len=0;           /* fool sfnts_pputBYTE() */
-
-#ifdef DEBUG_TRUETYPE_INLINE
-        puts("\n% dummy byte:\n");
-#endif
-
-        sfnts_pputBYTE(stream, 0);      /* extra byte for pre-2013 compatibility */
-        stream.put_char('>');
-        line_len++;
-    }
-    in_string=FALSE;
-} /* end of sfnts_end_string() */
-
-/*
-** This is called at the start of each new table.
-** The argement is the length in bytes of the table
-** which will follow.  If the new table will not fit
-** in the current string, a new one is started.
-*/
-void sfnts_new_table(TTStreamWriter& stream, ULONG length)
-{
-    if ( (string_len + length) > 65528 )
-        sfnts_end_string(stream);
-} /* end of sfnts_new_table() */
-
-/*
-** We may have to break up the 'glyf' table.  That is the reason
-** why we provide this special routine to copy it into the sfnts
-** array.
-*/
-void sfnts_glyf_table(TTStreamWriter& stream, struct TTFONT *font, ULONG oldoffset, ULONG correct_total_length)
-{
-    ULONG off;
-    ULONG length;
-    int c;
-    ULONG total=0;              /* running total of bytes written to table */
-    int x;
-    bool loca_is_local=false;
-
-#ifdef DEBUG_TRUETYPE
-    debug("sfnts_glyf_table(font,%d)", (int)correct_total_length);
-#endif
-
-    if (font->loca_table == NULL)
-    {
-        font->loca_table = GetTable(font,"loca");
-        loca_is_local = true;
-    }
-
-    /* Seek to proper position in the file. */
-    fseek( font->file, oldoffset, SEEK_SET );
-
-    /* Copy the glyphs one by one */
-    for (x=0; x < font->numGlyphs; x++)
-    {
-        /* Read the glyph offset from the index-to-location table. */
-        if (font->indexToLocFormat == 0)
-        {
-            off = getUSHORT( font->loca_table + (x * 2) );
-            off *= 2;
-            length = getUSHORT( font->loca_table + ((x+1) * 2) );
-            length *= 2;
-            length -= off;
-        }
-        else
-        {
-            off = getULONG( font->loca_table + (x * 4) );
-            length = getULONG( font->loca_table + ((x+1) * 4) );
-            length -= off;
-        }
-
-#ifdef DEBUG_TRUETYPE
-        debug("glyph length=%d",(int)length);
-#endif
-
-        /* Start new string if necessary. */
-        sfnts_new_table( stream, (int)length );
-
-        /*
-        ** Make sure the glyph is padded out to a
-        ** two byte boundary.
-        */
-        if ( length % 2 ) {
-            throw TTException("TrueType font contains a 'glyf' table without 2 byte padding");
-        }
-
-        /* Copy the bytes of the glyph. */
-        while ( length-- )
-        {
-            if ( (c = fgetc(font->file)) == EOF ) {
-                throw TTException("TrueType font may be corrupt (reason 6)");
-            }
-
-            sfnts_pputBYTE(stream, c);
-            total++;            /* add to running total */
-        }
-
-    }
-
-    if (loca_is_local)
-    {
-        free(font->loca_table);
-        font->loca_table = NULL;
-    }
-
-    /* Pad out to full length from table directory */
-    while ( total < correct_total_length )
-    {
-        sfnts_pputBYTE(stream, 0);
-        total++;
-    }
-
-} /* end of sfnts_glyf_table() */
-
-/*
-** Here is the routine which ties it all together.
-**
-** Create the array called "sfnts" which
-** holds the actual TrueType data.
-*/
-void ttfont_sfnts(TTStreamWriter& stream, struct TTFONT *font)
-{
-    static const char *table_names[] =  /* The names of all tables */
-    {
-        /* which it is worth while */
-        "cvt ",                         /* to include in a Type 42 */
-        "fpgm",                         /* PostScript font. */
-        "glyf",
-        "head",
-        "hhea",
-        "hmtx",
-        "loca",
-        "maxp",
-        "prep"
-    } ;
-
-    struct                      /* The location of each of */
-    {
-        ULONG oldoffset;        /* the above tables. */
-        ULONG newoffset;
-        ULONG length;
-        ULONG checksum;
-    } tables[9];
-
-    BYTE *ptr;                  /* A pointer into the origional table directory. */
-    ULONG x,y;                  /* General use loop countes. */
-    int c;                      /* Input character. */
-    int diff;
-    ULONG nextoffset;
-    int count;                  /* How many `important' tables did we find? */
-
-    ptr = font->offset_table + 12;
-    nextoffset=0;
-    count=0;
-
-    /*
-    ** Find the tables we want and store there vital
-    ** statistics in tables[].
-    */
-    for (x=0; x < 9; x++ )
-    {
-        do
-        {
-            diff = strncmp( (char*)ptr, table_names[x], 4 );
-
-            if ( diff > 0 )             /* If we are past it. */
-            {
-                tables[x].length = 0;
-                diff = 0;
-            }
-            else if ( diff < 0 )        /* If we haven't hit it yet. */
-            {
-                ptr += 16;
-            }
-            else if ( diff == 0 )       /* Here it is! */
-            {
-                tables[x].newoffset = nextoffset;
-                tables[x].checksum = getULONG( ptr + 4 );
-                tables[x].oldoffset = getULONG( ptr + 8 );
-                tables[x].length = getULONG( ptr + 12 );
-                nextoffset += ( ((tables[x].length + 3) / 4) * 4 );
-                count++;
-                ptr += 16;
-            }
-        }
-        while (diff != 0);
-
-    } /* end of for loop which passes over the table directory */
-
-    /* Begin the sfnts array. */
-    sfnts_start(stream);
-
-    /* Generate the offset table header */
-    /* Start by copying the TrueType version number. */
-    ptr = font->offset_table;
-    for (x=0; x < 4; x++)
-    {
-        sfnts_pputBYTE( stream,  *(ptr++) );
-    }
-
-    /* Now, generate those silly numTables numbers. */
-    sfnts_pputUSHORT(stream, count);            /* number of tables */
-    if ( count == 9 )
-    {
-        sfnts_pputUSHORT(stream, 7);          /* searchRange */
-        sfnts_pputUSHORT(stream, 3);          /* entrySelector */
-        sfnts_pputUSHORT(stream, 81);         /* rangeShift */
-    }
-#ifdef DEBUG_TRUETYPE
-    else
-    {
-        debug("only %d tables selected",count);
-    }
-#endif
-
-    /* Now, emmit the table directory. */
-    for (x=0; x < 9; x++)
-    {
-        if ( tables[x].length == 0 )    /* Skip missing tables */
-        {
-            continue;
-        }
-
-        /* Name */
-        sfnts_pputBYTE( stream, table_names[x][0] );
-        sfnts_pputBYTE( stream, table_names[x][1] );
-        sfnts_pputBYTE( stream, table_names[x][2] );
-        sfnts_pputBYTE( stream, table_names[x][3] );
-
-        /* Checksum */
-        sfnts_pputULONG( stream, tables[x].checksum );
-
-        /* Offset */
-        sfnts_pputULONG( stream, tables[x].newoffset + 12 + (count * 16) );
-
-        /* Length */
-        sfnts_pputULONG( stream, tables[x].length );
-    }
-
-    /* Now, send the tables */
-    for (x=0; x < 9; x++)
-    {
-        if ( tables[x].length == 0 )    /* skip tables that aren't there */
-        {
-            continue;
-        }
-
-#ifdef DEBUG_TRUETYPE
-        debug("emmiting table '%s'",table_names[x]);
-#endif
-
-        /* 'glyf' table gets special treatment */
-        if ( strcmp(table_names[x],"glyf")==0 )
-        {
-            sfnts_glyf_table(stream,font,tables[x].oldoffset,tables[x].length);
-        }
-        else                    /* Other tables may not exceed */
-        {
-            /* 65535 bytes in length. */
-            if ( tables[x].length > 65535 )
-            {
-                throw TTException("TrueType font has a table which is too long");
-            }
-
-            /* Start new string if necessary. */
-            sfnts_new_table(stream, tables[x].length);
-
-            /* Seek to proper position in the file. */
-            fseek( font->file, tables[x].oldoffset, SEEK_SET );
-
-            /* Copy the bytes of the table. */
-            for ( y=0; y < tables[x].length; y++ )
-            {
-                if ( (c = fgetc(font->file)) == EOF )
-                {
-                    throw TTException("TrueType font may be corrupt (reason 7)");
-                }
-
-                sfnts_pputBYTE(stream, c);
-            }
-        }
-
-        /* Padd it out to a four byte boundary. */
-        y=tables[x].length;
-        while ( (y % 4) != 0 )
-        {
-            sfnts_pputBYTE(stream, 0);
-            y++;
-#ifdef DEBUG_TRUETYPE_INLINE
-            puts("\n% pad byte:\n");
-#endif
-        }
-
-    } /* End of loop for all tables */
-
-    /* Close the array. */
-    sfnts_end_string(stream);
-    stream.putline("]def");
-} /* end of ttfont_sfnts() */
-
-/*--------------------------------------------------------------
-** Create the CharStrings dictionary which will translate
-** PostScript character names to TrueType font character
-** indexes.
-**
-** If we are creating a type 3 instead of a type 42 font,
-** this array will instead convert PostScript character names
-** to executable proceedures.
---------------------------------------------------------------*/
-const char *Apple_CharStrings[]=
-{
-    ".notdef",".null","nonmarkingreturn","space","exclam","quotedbl","numbersign",
-    "dollar","percent","ampersand","quotesingle","parenleft","parenright",
-    "asterisk","plus", "comma","hyphen","period","slash","zero","one","two",
-    "three","four","five","six","seven","eight","nine","colon","semicolon",
-    "less","equal","greater","question","at","A","B","C","D","E","F","G","H","I",
-    "J","K", "L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z",
-    "bracketleft","backslash","bracketright","asciicircum","underscore","grave",
-    "a","b","c","d","e","f","g","h","i","j","k", "l","m","n","o","p","q","r","s",
-    "t","u","v","w","x","y","z","braceleft","bar","braceright","asciitilde",
-    "Adieresis","Aring","Ccedilla","Eacute","Ntilde","Odieresis","Udieresis",
-    "aacute","agrave","acircumflex","adieresis","atilde","aring","ccedilla",
-    "eacute","egrave","ecircumflex","edieresis","iacute","igrave","icircumflex",
-    "idieresis","ntilde","oacute","ograve","ocircumflex","odieresis","otilde",
-    "uacute","ugrave","ucircumflex","udieresis","dagger","degree","cent",
-    "sterling","section","bullet","paragraph","germandbls","registered",
-    "copyright","trademark","acute","dieresis","notequal","AE","Oslash",
-    "infinity","plusminus","lessequal","greaterequal","yen","mu","partialdiff",
-    "summation","product","pi","integral","ordfeminine","ordmasculine","Omega",
-    "ae","oslash","questiondown","exclamdown","logicalnot","radical","florin",
-    "approxequal","Delta","guillemotleft","guillemotright","ellipsis",
-    "nobreakspace","Agrave","Atilde","Otilde","OE","oe","endash","emdash",
-    "quotedblleft","quotedblright","quoteleft","quoteright","divide","lozenge",
-    "ydieresis","Ydieresis","fraction","currency","guilsinglleft","guilsinglright",
-    "fi","fl","daggerdbl","periodcentered","quotesinglbase","quotedblbase",
-    "perthousand","Acircumflex","Ecircumflex","Aacute","Edieresis","Egrave",
-    "Iacute","Icircumflex","Idieresis","Igrave","Oacute","Ocircumflex","apple",
-    "Ograve","Uacute","Ucircumflex","Ugrave","dotlessi","circumflex","tilde",
-    "macron","breve","dotaccent","ring","cedilla","hungarumlaut","ogonek","caron",
-    "Lslash","lslash","Scaron","scaron","Zcaron","zcaron","brokenbar","Eth","eth",
-    "Yacute","yacute","Thorn","thorn","minus","multiply","onesuperior",
-    "twosuperior","threesuperior","onehalf","onequarter","threequarters","franc",
-    "Gbreve","gbreve","Idot","Scedilla","scedilla","Cacute","cacute","Ccaron",
-    "ccaron","dmacron","markingspace","capslock","shift","propeller","enter",
-    "markingtabrtol","markingtabltor","control","markingdeleteltor",
-    "markingdeletertol","option","escape","parbreakltor","parbreakrtol",
-    "newpage","checkmark","linebreakltor","linebreakrtol","markingnobreakspace",
-    "diamond","appleoutline"
-};
-
-/*
-** This routine is called by the one below.
-** It is also called from pprdrv_tt2.c
-*/
-const char *ttfont_CharStrings_getname(struct TTFONT *font, int charindex)
-{
-    int GlyphIndex;
-    static char temp[80];
-    char *ptr;
-    ULONG len;
-
-    Fixed post_format;
-
-    /* The 'post' table format number. */
-    post_format = getFixed( font->post_table );
-
-    if ( post_format.whole != 2 || post_format.fraction != 0 )
-    {
-        /* We don't have a glyph name table, so generate a name.
-           This generated name must match exactly the name that is
-           generated by FT2Font in get_glyph_name */
-        PyOS_snprintf(temp, 80, "uni%08x", charindex);
-        return temp;
-    }
-
-    GlyphIndex = (int)getUSHORT( font->post_table + 34 + (charindex * 2) );
-
-    if ( GlyphIndex <= 257 )            /* If a standard Apple name, */
-    {
-        return Apple_CharStrings[GlyphIndex];
-    }
-    else                                /* Otherwise, use one */
-    {
-        /* of the pascal strings. */
-        GlyphIndex -= 258;
-
-        /* Set pointer to start of Pascal strings. */
-        ptr = (char*)(font->post_table + 34 + (font->numGlyphs * 2));
-
-        len = (ULONG)*(ptr++);  /* Step thru the strings */
-        while (GlyphIndex--)            /* until we get to the one */
-        {
-            /* that we want. */
-            ptr += len;
-            len = (ULONG)*(ptr++);
-        }
-
-        if ( len >= sizeof(temp) )
-        {
-            throw TTException("TrueType font file contains a very long PostScript name");
-        }
-
-        strncpy(temp,ptr,len);  /* Copy the pascal string into */
-        temp[len]=(char)NULL;   /* a buffer and make it ASCIIz. */
-
-        return temp;
-    }
-} /* end of ttfont_CharStrings_getname() */
-
-/*
-** This is the central routine of this section.
-*/
-void ttfont_CharStrings(TTStreamWriter& stream, struct TTFONT *font, std::vector<int>& glyph_ids)
-{
-    Fixed post_format;
-
-    /* The 'post' table format number. */
-    post_format = getFixed( font->post_table );
-
-    /* Emmit the start of the PostScript code to define the dictionary. */
-    stream.printf("/CharStrings %d dict dup begin\n", glyph_ids.size());
-
-    /* Emmit one key-value pair for each glyph. */
-    for (std::vector<int>::const_iterator i = glyph_ids.begin();
-            i != glyph_ids.end(); ++i)
-    {
-        if ((font->target_type == PS_TYPE_42 ||
-             font->target_type == PS_TYPE_42_3_HYBRID)
-            && *i < 256) /* type 42 */
-        {
-            stream.printf("/%s %d def\n",ttfont_CharStrings_getname(font, *i), *i);
-        }
-        else                            /* type 3 */
-        {
-            stream.printf("/%s{",ttfont_CharStrings_getname(font, *i));
-
-            tt_type3_charproc(stream, font, *i);
-
-            stream.putline("}_d");      /* "} bind def" */
-        }
-    }
-
-    stream.putline("end readonly def");
-} /* end of ttfont_CharStrings() */
-
-/*----------------------------------------------------------------
-** Emmit the code to finish up the dictionary and turn
-** it into a font.
-----------------------------------------------------------------*/
-void ttfont_trailer(TTStreamWriter& stream, struct TTFONT *font)
-{
-    /* If we are generating a type 3 font, we need to provide */
-    /* a BuildGlyph and BuildChar proceedures. */
-    if (font->target_type == PS_TYPE_3 ||
-        font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.put_char('\n');
-
-        stream.putline("/BuildGlyph");
-        stream.putline(" {exch begin");         /* start font dictionary */
-        stream.putline(" CharStrings exch");
-        stream.putline(" 2 copy known not{pop /.notdef}if");
-        stream.putline(" true 3 1 roll get exec");
-        stream.putline(" end}_d");
-
-        stream.put_char('\n');
-
-        /* This proceedure is for compatiblity with */
-        /* level 1 interpreters. */
-        stream.putline("/BuildChar {");
-        stream.putline(" 1 index /Encoding get exch get");
-        stream.putline(" 1 index /BuildGlyph get exec");
-        stream.putline("}_d");
-
-        stream.put_char('\n');
-    }
-
-    /* If we are generating a type 42 font, we need to check to see */
-    /* if this PostScript interpreter understands type 42 fonts.  If */
-    /* it doesn't, we will hope that the Apple TrueType rasterizer */
-    /* has been loaded and we will adjust the font accordingly. */
-    /* I found out how to do this by examining a TrueType font */
-    /* generated by a Macintosh.  That is where the TrueType interpreter */
-    /* setup instructions and part of BuildGlyph came from. */
-    if (font->target_type == PS_TYPE_42 ||
-        font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.put_char('\n');
-
-        /* If we have no "resourcestatus" command, or FontType 42 */
-        /* is unknown, leave "true" on the stack. */
-        stream.putline("systemdict/resourcestatus known");
-        stream.putline(" {42 /FontType resourcestatus");
-        stream.putline("   {pop pop false}{true}ifelse}");
-        stream.putline(" {true}ifelse");
-
-        /* If true, execute code to produce an error message if */
-        /* we can't find Apple's TrueDict in VM. */
-        stream.putline("{/TrueDict where{pop}{(%%[ Error: no TrueType rasterizer ]%%)= flush}ifelse");
-
-        /* Since we are expected to use Apple's TrueDict TrueType */
-        /* reasterizer, change the font type to 3. */
-        stream.putline("/FontType 3 def");
-
-        /* Define a string to hold the state of the Apple */
-        /* TrueType interpreter. */
-        stream.putline(" /TrueState 271 string def");
-
-        /* It looks like we get information about the resolution */
-        /* of the printer and store it in the TrueState string. */
-        stream.putline(" TrueDict begin sfnts save");
-        stream.putline(" 72 0 matrix defaultmatrix dtransform dup");
-        stream.putline(" mul exch dup mul add sqrt cvi 0 72 matrix");
-        stream.putline(" defaultmatrix dtransform dup mul exch dup");
-        stream.putline(" mul add sqrt cvi 3 -1 roll restore");
-        stream.putline(" TrueState initer end");
-
-        /* This BuildGlyph procedure will look the name up in the */
-        /* CharStrings array, and then check to see if what it gets */
-        /* is a procedure.  If it is, it executes it, otherwise, it */
-        /* lets the TrueType rasterizer loose on it. */
-
-        /* When this proceedure is executed the stack contains */
-        /* the font dictionary and the character name.  We */
-        /* exchange arguments and move the dictionary to the */
-        /* dictionary stack. */
-        stream.putline(" /BuildGlyph{exch begin");
-        /* stack: charname */
-
-        /* Put two copies of CharStrings on the stack and consume */
-        /* one testing to see if the charname is defined in it, */
-        /* leave the answer on the stack. */
-        stream.putline("  CharStrings dup 2 index known");
-        /* stack: charname CharStrings bool */
-
-        /* Exchange the CharStrings dictionary and the charname, */
-        /* but if the answer was false, replace the character name */
-        /* with ".notdef". */
-        stream.putline("    {exch}{exch pop /.notdef}ifelse");
-        /* stack: CharStrings charname */
-
-        /* Get the value from the CharStrings dictionary and see */
-        /* if it is executable. */
-        stream.putline("  get dup xcheck");
-        /* stack: CharStrings_entry */
-
-        /* If is a proceedure.  Execute according to RBIIp 277-278. */
-        stream.putline("    {currentdict systemdict begin begin exec end end}");
-
-        /* Is a TrueType character index, let the rasterizer at it. */
-        stream.putline("    {TrueDict begin /bander load cvlit exch TrueState render end}");
-
-        stream.putline("    ifelse");
-
-        /* Pop the font's dictionary off the stack. */
-        stream.putline(" end}bind def");
-
-        /* This is the level 1 compatibility BuildChar procedure. */
-        /* See RBIIp 281. */
-        stream.putline(" /BuildChar{");
-        stream.putline("  1 index /Encoding get exch get");
-        stream.putline("  1 index /BuildGlyph get exec");
-        stream.putline(" }bind def");
-
-        /* Here we close the condition which is true */
-        /* if the printer has no built-in TrueType */
-        /* rasterizer. */
-        stream.putline("}if");
-        stream.put_char('\n');
-    } /* end of if Type 42 not understood. */
-
-    stream.putline("FontName currentdict end definefont pop");
-    /* stream.putline("%%EOF"); */
-} /* end of ttfont_trailer() */
-
-/*------------------------------------------------------------------
-** This is the externally callable routine which inserts the font.
-------------------------------------------------------------------*/
-
-void read_font(const char *filename, font_type_enum target_type, std::vector<int>& glyph_ids, TTFONT& font)
-{
-    BYTE *ptr;
-
-    /* Decide what type of PostScript font we will be generating. */
-    font.target_type = target_type;
-
-    if (font.target_type == PS_TYPE_42)
-    {
-        bool has_low = false;
-        bool has_high = false;
-
-        for (std::vector<int>::const_iterator i = glyph_ids.begin();
-                i != glyph_ids.end(); ++i)
-        {
-            if (*i > 255)
-            {
-                has_high = true;
-                if (has_low) break;
-            }
-            else
-            {
-                has_low = true;
-                if (has_high) break;
-            }
-        }
-
-        if (has_high && has_low)
-        {
-            font.target_type = PS_TYPE_42_3_HYBRID;
-        }
-        else if (has_high && !has_low)
-        {
-            font.target_type = PS_TYPE_3;
-        }
-    }
-
-    /* Save the file name for error messages. */
-    font.filename=filename;
-
-    /* Open the font file */
-    if ( (font.file = fopen(filename,"rb")) == (FILE*)NULL )
-    {
-        throw TTException("Failed to open TrueType font");
-    }
-
-    /* Allocate space for the unvarying part of the offset table. */
-    assert(font.offset_table == NULL);
-    font.offset_table = (BYTE*)calloc( 12, sizeof(BYTE) );
-
-    /* Read the first part of the offset table. */
-    if ( fread( font.offset_table, sizeof(BYTE), 12, font.file ) != 12 )
-    {
-        throw TTException("TrueType font may be corrupt (reason 1)");
-    }
-
-    /* Determine how many directory entries there are. */
-    font.numTables = getUSHORT( font.offset_table + 4 );
-#ifdef DEBUG_TRUETYPE
-    debug("numTables=%d",(int)font.numTables);
-#endif
-
-    /* Expand the memory block to hold the whole thing. */
-    font.offset_table = (BYTE*)realloc( font.offset_table, sizeof(BYTE) * (12 + font.numTables * 16) );
-
-    /* Read the rest of the table directory. */
-    if ( fread( font.offset_table + 12, sizeof(BYTE), (font.numTables*16), font.file ) != (font.numTables*16) )
-    {
-        throw TTException("TrueType font may be corrupt (reason 2)");
-    }
-
-    /* Extract information from the "Offset" table. */
-    font.TTVersion = getFixed( font.offset_table );
-
-    /* Load the "head" table and extract information from it. */
-    ptr = GetTable(&font, "head");
-    try
-    {
-        font.MfrRevision = getFixed( ptr + 4 );           /* font revision number */
-        font.unitsPerEm = getUSHORT( ptr + 18 );
-        font.HUPM = font.unitsPerEm / 2;
-#ifdef DEBUG_TRUETYPE
-        debug("unitsPerEm=%d",(int)font.unitsPerEm);
-#endif
-        font.llx = topost2( getFWord( ptr + 36 ) );               /* bounding box info */
-        font.lly = topost2( getFWord( ptr + 38 ) );
-        font.urx = topost2( getFWord( ptr + 40 ) );
-        font.ury = topost2( getFWord( ptr + 42 ) );
-        font.indexToLocFormat = getSHORT( ptr + 50 );     /* size of 'loca' data */
-        if (font.indexToLocFormat != 0 && font.indexToLocFormat != 1)
-        {
-            throw TTException("TrueType font is unusable because indexToLocFormat != 0");
-        }
-        if ( getSHORT(ptr+52) != 0 )
-        {
-            throw TTException("TrueType font is unusable because glyphDataFormat != 0");
-        }
-    }
-    catch (TTException& )
-    {
-        free(ptr);
-        throw;
-    }
-    free(ptr);
-
-    /* Load information from the "name" table. */
-    Read_name(&font);
-
-    /* We need to have the PostScript table around. */
-    assert(font.post_table == NULL);
-    font.post_table = GetTable(&font, "post");
-    font.numGlyphs = getUSHORT( font.post_table + 32 );
-
-    /* If we are generating a Type 3 font, we will need to */
-    /* have the 'loca' and 'glyf' tables arround while */
-    /* we are generating the CharStrings. */
-    if (font.target_type == PS_TYPE_3 || font.target_type == PDF_TYPE_3 ||
-            font.target_type == PS_TYPE_42_3_HYBRID)
-    {
-        BYTE *ptr;                      /* We need only one value */
-        ptr = GetTable(&font, "hhea");
-        font.numberOfHMetrics = getUSHORT(ptr + 34);
-        free(ptr);
-
-        assert(font.loca_table == NULL);
-        font.loca_table = GetTable(&font,"loca");
-        assert(font.glyf_table == NULL);
-        font.glyf_table = GetTable(&font,"glyf");
-        assert(font.hmtx_table == NULL);
-        font.hmtx_table = GetTable(&font,"hmtx");
-    }
-
-    if (glyph_ids.size() == 0)
-    {
-        glyph_ids.clear();
-        glyph_ids.reserve(font.numGlyphs);
-        for (int x = 0; x < font.numGlyphs; ++x)
-        {
-            glyph_ids.push_back(x);
-        }
-    }
-    else if (font.target_type == PS_TYPE_3 ||
-             font.target_type == PS_TYPE_42_3_HYBRID)
-    {
-        ttfont_add_glyph_dependencies(&font, glyph_ids);
-    }
-
-} /* end of insert_ttfont() */
-
-void insert_ttfont(const char *filename, TTStreamWriter& stream,
-                   font_type_enum target_type, std::vector<int>& glyph_ids)
-{
-    struct TTFONT font;
-
-    read_font(filename, target_type, glyph_ids, font);
-
-    /* Write the header for the PostScript font. */
-    ttfont_header(stream, &font);
-
-    /* Define the encoding. */
-    ttfont_encoding(stream, &font, glyph_ids, target_type);
-
-    /* Insert FontInfo dictionary. */
-    ttfont_FontInfo(stream, &font);
-
-    /* If we are generating a type 42 font, */
-    /* emmit the sfnts array. */
-    if (font.target_type == PS_TYPE_42 ||
-        font.target_type == PS_TYPE_42_3_HYBRID)
-    {
-        ttfont_sfnts(stream, &font);
-    }
-
-    /* Emmit the CharStrings array. */
-    ttfont_CharStrings(stream, &font, glyph_ids);
-
-    /* Send the font trailer. */
-    ttfont_trailer(stream, &font);
-
-} /* end of insert_ttfont() */
-
-class StringStreamWriter : public TTStreamWriter
-{
-    std::ostringstream oss;
-
-public:
-    void write(const char* a)
-    {
-        oss << a;
-    }
-
-    std::string str()
-    {
-        return oss.str();
-    }
-};
-
-void get_pdf_charprocs(const char *filename, std::vector<int>& glyph_ids, TTDictionaryCallback& dict)
-{
-    struct TTFONT font;
-
-    read_font(filename, PDF_TYPE_3, glyph_ids, font);
-
-    for (std::vector<int>::const_iterator i = glyph_ids.begin();
-            i != glyph_ids.end(); ++i)
-    {
-        StringStreamWriter writer;
-        tt_type3_charproc(writer, &font, *i);
-        const char* name = ttfont_CharStrings_getname(&font, *i);
-        dict.add_pair(name, writer.str().c_str());
-    }
-}
-
-TTFONT::TTFONT() :
-    file(NULL),
-    PostName(NULL),
-    FullName(NULL),
-    FamilyName(NULL),
-    Style(NULL),
-    Copyright(NULL),
-    Version(NULL),
-    Trademark(NULL),
-    offset_table(NULL),
-    post_table(NULL),
-    loca_table(NULL),
-    glyf_table(NULL),
-    hmtx_table(NULL)
-{
-
-}
-
-TTFONT::~TTFONT()
-{
-    if (file)
-    {
-        fclose(file);
-    }
-    free(PostName);
-    free(FullName);
-    free(FamilyName);
-    free(Style);
-    free(Copyright);
-    free(Version);
-    free(Trademark);
-    free(offset_table);
-    free(post_table);
-    free(loca_table);
-    free(glyf_table);
-    free(hmtx_table);
-}
-
-/* end of file */
diff --git a/extern/ttconv/pprdrv_tt2.cpp b/extern/ttconv/pprdrv_tt2.cpp
deleted file mode 100644
index 2643afa09930..000000000000
--- a/extern/ttconv/pprdrv_tt2.cpp
+++ /dev/null
@@ -1,737 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-/*
-** ~ppr/src/pprdrv/pprdrv_tt2.c
-** Copyright 1995, Trinity College Computing Center.
-** Written by David Chappell.
-**
-** Permission to use, copy, modify, and distribute this software and its
-** documentation for any purpose and without fee is hereby granted, provided
-** that the above copyright notice appear in all copies and that both that
-** copyright notice and this permission notice appear in supporting
-** documentation.  This software is provided "as is" without express or
-** implied warranty.
-**
-** TrueType font support.  These functions allow PPR to generate
-** PostScript fonts from Microsoft compatible TrueType font files.
-**
-** The functions in this file do most of the work to convert a
-** TrueType font to a type 3 PostScript font.
-**
-** Most of the material in this file is derived from a program called
-** "ttf2ps" which L. S. Ng posted to the usenet news group
-** "comp.sources.postscript".  The author did not provide a copyright
-** notice or indicate any restrictions on use.
-**
-** Last revised 11 July 1995.
-*/
-
-#include "global_defines.h"
-#include <cstdlib>
-#include <cmath>
-#include <cstring>
-#include <memory>
-#include "pprdrv.h"
-#include "truetype.h"
-#include <algorithm>
-#include <stack>
-#include <list>
-
-class GlyphToType3
-{
-private:
-    GlyphToType3& operator=(const GlyphToType3& other);
-    GlyphToType3(const GlyphToType3& other);
-
-    /* The PostScript bounding box. */
-    int llx,lly,urx,ury;
-    int advance_width;
-
-    /* Variables to hold the character data. */
-    int *epts_ctr;                      /* array of contour endpoints */
-    int num_pts, num_ctr;               /* number of points, number of coutours */
-    FWord *xcoor, *ycoor;               /* arrays of x and y coordinates */
-    BYTE *tt_flags;                     /* array of TrueType flags */
-
-    int stack_depth;            /* A book-keeping variable for keeping track of the depth of the PS stack */
-
-    bool pdf_mode;
-
-    void load_char(TTFONT* font, BYTE *glyph);
-    void stack(TTStreamWriter& stream, int new_elem);
-    void stack_end(TTStreamWriter& stream);
-    void PSConvert(TTStreamWriter& stream);
-    void PSCurveto(TTStreamWriter& stream,
-                   FWord x0, FWord y0,
-                   FWord x1, FWord y1,
-                   FWord x2, FWord y2);
-    void PSMoveto(TTStreamWriter& stream, int x, int y);
-    void PSLineto(TTStreamWriter& stream, int x, int y);
-    void do_composite(TTStreamWriter& stream, struct TTFONT *font, BYTE *glyph);
-
-public:
-    GlyphToType3(TTStreamWriter& stream, struct TTFONT *font, int charindex, bool embedded = false);
-    ~GlyphToType3();
-};
-
-// Each point on a TrueType contour is either on the path or off it (a
-// control point); here's a simple representation for building such
-// contours. Added by Jouni Seppänen 2012-05-27.
-enum Flag { ON_PATH, OFF_PATH };
-struct FlaggedPoint
-{
-    enum Flag flag;
-    FWord x;
-    FWord y;
-    FlaggedPoint(Flag flag_, FWord x_, FWord y_): flag(flag_), x(x_), y(y_) {};
-};
-
-double area(FWord *x, FWord *y, int n);
-#define sqr(x) ((x)*(x))
-
-#define NOMOREINCTR -1
-#define NOMOREOUTCTR -1
-
-/*
-** This routine is used to break the character
-** procedure up into a number of smaller
-** procedures.  This is necessary so as not to
-** overflow the stack on certain level 1 interpreters.
-**
-** Prepare to push another item onto the stack,
-** starting a new proceedure if necessary.
-**
-** Not all the stack depth calculations in this routine
-** are perfectly accurate, but they do the job.
-*/
-void GlyphToType3::stack(TTStreamWriter& stream, int new_elem)
-{
-    if ( !pdf_mode && num_pts > 25 )                    /* Only do something of we will */
-    {
-        /* have a log of points. */
-        if (stack_depth == 0)
-        {
-            stream.put_char('{');
-            stack_depth=1;
-        }
-
-        stack_depth += new_elem;                /* Account for what we propose to add */
-
-        if (stack_depth > 100)
-        {
-            stream.puts("}_e{");
-            stack_depth = 3 + new_elem; /* A rough estimate */
-        }
-    }
-} /* end of stack() */
-
-void GlyphToType3::stack_end(TTStreamWriter& stream)                    /* called at end */
-{
-    if ( !pdf_mode && stack_depth )
-    {
-        stream.puts("}_e");
-        stack_depth=0;
-    }
-} /* end of stack_end() */
-
-/*
-** We call this routine to emmit the PostScript code
-** for the character we have loaded with load_char().
-*/
-void GlyphToType3::PSConvert(TTStreamWriter& stream)
-{
-    int j, k;
-
-    /* Step thru the contours.
-     * j = index to xcoor, ycoor, tt_flags (point data)
-     * k = index to epts_ctr (which points belong to the same contour) */
-    for(j = k = 0; k < num_ctr; k++)
-    {
-        // A TrueType contour consists of on-path and off-path points.
-        // Two consecutive on-path points are to be joined with a
-        // line; off-path points between on-path points indicate a
-        // quadratic spline, where the off-path point is the control
-        // point. Two consecutive off-path points have an implicit
-        // on-path point midway between them.
-        std::list<FlaggedPoint> points;
-
-        // Represent flags and x/y coordinates as a C++ list
-        for (; j <= epts_ctr[k]; j++)
-        {
-            if (!(tt_flags[j] & 1)) {
-                points.push_back(FlaggedPoint(OFF_PATH, xcoor[j], ycoor[j]));
-            } else {
-                points.push_back(FlaggedPoint(ON_PATH, xcoor[j], ycoor[j]));
-            }
-        }
-
-        if (points.size() == 0) {
-            // Don't try to access the last element of an empty list
-            continue;
-        }
-
-        // For any two consecutive off-path points, insert the implied
-        // on-path point.
-        FlaggedPoint prev = points.back();
-        for (std::list<FlaggedPoint>::iterator it = points.begin();
-             it != points.end();
-             it++)
-        {
-            if (prev.flag == OFF_PATH && it->flag == OFF_PATH)
-            {
-                points.insert(it,
-                              FlaggedPoint(ON_PATH,
-                                           (prev.x + it->x) / 2,
-                                           (prev.y + it->y) / 2));
-            }
-            prev = *it;
-        }
-        // Handle the wrap-around: insert a point either at the beginning
-        // or at the end that has the same coordinates as the opposite point.
-        // This also ensures that the initial point is ON_PATH.
-        if (points.front().flag == OFF_PATH)
-        {
-            assert(points.back().flag == ON_PATH);
-            points.insert(points.begin(), points.back());
-        }
-        else
-        {
-            assert(points.front().flag == ON_PATH);
-            points.push_back(points.front());
-        }
-
-        // The first point
-        stack(stream, 3);
-        PSMoveto(stream, points.front().x, points.front().y);
-
-        // Step through the remaining points
-        std::list<FlaggedPoint>::const_iterator it = points.begin();
-        for (it++; it != points.end(); /* incremented inside */)
-        {
-            const FlaggedPoint& point = *it;
-            if (point.flag == ON_PATH)
-            {
-                stack(stream, 3);
-                PSLineto(stream, point.x, point.y);
-                it++;
-            } else {
-                std::list<FlaggedPoint>::const_iterator prev = it, next = it;
-                prev--;
-                next++;
-                assert(prev->flag == ON_PATH);
-                assert(next->flag == ON_PATH);
-                stack(stream, 7);
-                PSCurveto(stream,
-                          prev->x, prev->y,
-                          point.x, point.y,
-                          next->x, next->y);
-                it++;
-                it++;
-            }
-        }
-    }
-
-    /* Now, we can fill the whole thing. */
-    stack(stream, 1);
-    stream.puts( pdf_mode ? "f" : "_cl" );
-} /* end of PSConvert() */
-
-void GlyphToType3::PSMoveto(TTStreamWriter& stream, int x, int y)
-{
-    stream.printf(pdf_mode ? "%d %d m\n" : "%d %d _m\n",
-                  x, y);
-}
-
-void GlyphToType3::PSLineto(TTStreamWriter& stream, int x, int y)
-{
-    stream.printf(pdf_mode ? "%d %d l\n" : "%d %d _l\n",
-                  x, y);
-}
-
-/*
-** Emit a PostScript "curveto" command, assuming the current point
-** is (x0, y0), the control point of a quadratic spline is (x1, y1),
-** and the endpoint is (x2, y2). Note that this requires a conversion,
-** since PostScript splines are cubic.
-*/
-void GlyphToType3::PSCurveto(TTStreamWriter& stream,
-                             FWord x0, FWord y0,
-                             FWord x1, FWord y1,
-                             FWord x2, FWord y2)
-{
-    double sx[3], sy[3], cx[3], cy[3];
-
-    sx[0] = x0;
-    sy[0] = y0;
-    sx[1] = x1;
-    sy[1] = y1;
-    sx[2] = x2;
-    sy[2] = y2;
-    cx[0] = (2*sx[1]+sx[0])/3;
-    cy[0] = (2*sy[1]+sy[0])/3;
-    cx[1] = (sx[2]+2*sx[1])/3;
-    cy[1] = (sy[2]+2*sy[1])/3;
-    cx[2] = sx[2];
-    cy[2] = sy[2];
-    stream.printf("%d %d %d %d %d %d %s\n",
-                  (int)cx[0], (int)cy[0], (int)cx[1], (int)cy[1],
-                  (int)cx[2], (int)cy[2], pdf_mode ? "c" : "_c");
-}
-
-/*
-** Deallocate the structures which stored
-** the data for the last simple glyph.
-*/
-GlyphToType3::~GlyphToType3()
-{
-    free(tt_flags);            /* The flags array */
-    free(xcoor);               /* The X coordinates */
-    free(ycoor);               /* The Y coordinates */
-    free(epts_ctr);            /* The array of contour endpoints */
-}
-
-/*
-** Load the simple glyph data pointed to by glyph.
-** The pointer "glyph" should point 10 bytes into
-** the glyph data.
-*/
-void GlyphToType3::load_char(TTFONT* font, BYTE *glyph)
-{
-    int x;
-    BYTE c, ct;
-
-    /* Read the contour endpoints list. */
-    epts_ctr = (int *)calloc(num_ctr,sizeof(int));
-    for (x = 0; x < num_ctr; x++)
-    {
-        epts_ctr[x] = getUSHORT(glyph);
-        glyph += 2;
-    }
-
-    /* From the endpoint of the last contour, we can */
-    /* determine the number of points. */
-    num_pts = epts_ctr[num_ctr-1]+1;
-#ifdef DEBUG_TRUETYPE
-    debug("num_pts=%d",num_pts);
-    stream.printf("%% num_pts=%d\n",num_pts);
-#endif
-
-    /* Skip the instructions. */
-    x = getUSHORT(glyph);
-    glyph += 2;
-    glyph += x;
-
-    /* Allocate space to hold the data. */
-    tt_flags = (BYTE *)calloc(num_pts,sizeof(BYTE));
-    xcoor = (FWord *)calloc(num_pts,sizeof(FWord));
-    ycoor = (FWord *)calloc(num_pts,sizeof(FWord));
-
-    /* Read the flags array, uncompressing it as we go. */
-    /* There is danger of overflow here. */
-    for (x = 0; x < num_pts; )
-    {
-        tt_flags[x++] = c = *(glyph++);
-
-        if (c&8)                /* If next byte is repeat count, */
-        {
-            ct = *(glyph++);
-
-            if ( (x + ct) > num_pts )
-            {
-                throw TTException("Error in TT flags");
-            }
-
-            while (ct--)
-            {
-                tt_flags[x++] = c;
-            }
-        }
-    }
-
-    /* Read the x coordinates */
-    for (x = 0; x < num_pts; x++)
-    {
-        if (tt_flags[x] & 2)            /* one byte value with */
-        {
-            /* external sign */
-            c = *(glyph++);
-            xcoor[x] = (tt_flags[x] & 0x10) ? c : (-1 * (int)c);
-        }
-        else if (tt_flags[x] & 0x10)    /* repeat last */
-        {
-            xcoor[x] = 0;
-        }
-        else                            /* two byte signed value */
-        {
-            xcoor[x] = getFWord(glyph);
-            glyph+=2;
-        }
-    }
-
-    /* Read the y coordinates */
-    for (x = 0; x < num_pts; x++)
-    {
-        if (tt_flags[x] & 4)            /* one byte value with */
-        {
-            /* external sign */
-            c = *(glyph++);
-            ycoor[x] = (tt_flags[x] & 0x20) ? c : (-1 * (int)c);
-        }
-        else if (tt_flags[x] & 0x20)    /* repeat last value */
-        {
-            ycoor[x] = 0;
-        }
-        else                            /* two byte signed value */
-        {
-            ycoor[x] = getUSHORT(glyph);
-            glyph+=2;
-        }
-    }
-
-    /* Convert delta values to absolute values. */
-    for (x = 1; x < num_pts; x++)
-    {
-        xcoor[x] += xcoor[x-1];
-        ycoor[x] += ycoor[x-1];
-    }
-
-    for (x=0; x < num_pts; x++)
-    {
-        xcoor[x] = topost(xcoor[x]);
-        ycoor[x] = topost(ycoor[x]);
-    }
-
-} /* end of load_char() */
-
-/*
-** Emmit PostScript code for a composite character.
-*/
-void GlyphToType3::do_composite(TTStreamWriter& stream, struct TTFONT *font, BYTE *glyph)
-{
-    USHORT flags;
-    USHORT glyphIndex;
-    int arg1;
-    int arg2;
-
-    /* Once around this loop for each component. */
-    do
-    {
-        flags = getUSHORT(glyph);       /* read the flags word */
-        glyph += 2;
-
-        glyphIndex = getUSHORT(glyph);  /* read the glyphindex word */
-        glyph += 2;
-
-        if (flags & ARG_1_AND_2_ARE_WORDS)
-        {
-            /* The tt spec. seems to say these are signed. */
-            arg1 = getSHORT(glyph);
-            glyph += 2;
-            arg2 = getSHORT(glyph);
-            glyph += 2;
-        }
-        else                    /* The tt spec. does not clearly indicate */
-        {
-            /* whether these values are signed or not. */
-            arg1 = *(signed char *)(glyph++);
-            arg2 = *(signed char *)(glyph++);
-        }
-
-        if (flags & WE_HAVE_A_SCALE)
-        {
-            glyph += 2;
-        }
-        else if (flags & WE_HAVE_AN_X_AND_Y_SCALE)
-        {
-            glyph += 4;
-        }
-        else if (flags & WE_HAVE_A_TWO_BY_TWO)
-        {
-            glyph += 8;
-        }
-        else
-        {
-        }
-
-        /* Debugging */
-#ifdef DEBUG_TRUETYPE
-        stream.printf("%% flags=%d, arg1=%d, arg2=%d\n",
-                      (int)flags,arg1,arg2);
-#endif
-
-        if (pdf_mode)
-        {
-            if ( flags & ARGS_ARE_XY_VALUES )
-            {
-                /* We should have been able to use 'Do' to reference the
-                   subglyph here.  However, that doesn't seem to work with
-                   xpdf or gs (only acrobat), so instead, this just includes
-                   the subglyph here inline. */
-                stream.printf("q 1 0 0 1 %d %d cm\n", topost(arg1), topost(arg2));
-            }
-            else
-            {
-                stream.printf("%% unimplemented shift, arg1=%d, arg2=%d\n",arg1,arg2);
-            }
-            GlyphToType3(stream, font, glyphIndex, true);
-            if ( flags & ARGS_ARE_XY_VALUES )
-            {
-                stream.printf("\nQ\n");
-            }
-        }
-        else
-        {
-            /* If we have an (X,Y) shif and it is non-zero, */
-            /* translate the coordinate system. */
-            if ( flags & ARGS_ARE_XY_VALUES )
-            {
-                if ( arg1 != 0 || arg2 != 0 )
-                    stream.printf("gsave %d %d translate\n", topost(arg1), topost(arg2) );
-            }
-            else
-            {
-                stream.printf("%% unimplemented shift, arg1=%d, arg2=%d\n",arg1,arg2);
-            }
-
-            /* Invoke the CharStrings procedure to print the component. */
-            stream.printf("false CharStrings /%s get exec\n",
-                          ttfont_CharStrings_getname(font,glyphIndex));
-
-            /* If we translated the coordinate system, */
-            /* put it back the way it was. */
-            if ( flags & ARGS_ARE_XY_VALUES && (arg1 != 0 || arg2 != 0) )
-            {
-                stream.puts("grestore ");
-            }
-        }
-
-    }
-    while (flags & MORE_COMPONENTS);
-
-} /* end of do_composite() */
-
-/*
-** Return a pointer to a specific glyph's data.
-*/
-BYTE *find_glyph_data(struct TTFONT *font, int charindex)
-{
-    ULONG off;
-    ULONG length;
-
-    /* Read the glyph offset from the index to location table. */
-    if (font->indexToLocFormat == 0)
-    {
-        off = getUSHORT( font->loca_table + (charindex * 2) );
-        off *= 2;
-        length = getUSHORT( font->loca_table + ((charindex+1) * 2) );
-        length *= 2;
-        length -= off;
-    }
-    else
-    {
-        off = getULONG( font->loca_table + (charindex * 4) );
-        length = getULONG( font->loca_table + ((charindex+1) * 4) );
-        length -= off;
-    }
-
-    if (length > 0)
-    {
-        return font->glyf_table + off;
-    }
-    else
-    {
-        return (BYTE*)NULL;
-    }
-
-} /* end of find_glyph_data() */
-
-GlyphToType3::GlyphToType3(TTStreamWriter& stream, struct TTFONT *font, int charindex, bool embedded /* = false */)
-{
-    BYTE *glyph;
-
-    tt_flags = NULL;
-    xcoor = NULL;
-    ycoor = NULL;
-    epts_ctr = NULL;
-    stack_depth = 0;
-    pdf_mode = font->target_type < 0;
-
-    /* Get a pointer to the data. */
-    glyph = find_glyph_data( font, charindex );
-
-    /* If the character is blank, it has no bounding box, */
-    /* otherwise read the bounding box. */
-    if ( glyph == (BYTE*)NULL )
-    {
-        llx=lly=urx=ury=0;      /* A blank char has an all zero BoundingBox */
-        num_ctr=0;              /* Set this for later if()s */
-    }
-    else
-    {
-        /* Read the number of contours. */
-        num_ctr = getSHORT(glyph);
-
-        /* Read PostScript bounding box. */
-        llx = getFWord(glyph + 2);
-        lly = getFWord(glyph + 4);
-        urx = getFWord(glyph + 6);
-        ury = getFWord(glyph + 8);
-
-        /* Advance the pointer. */
-        glyph += 10;
-    }
-
-    /* If it is a simple character, load its data. */
-    if (num_ctr > 0)
-    {
-        load_char(font, glyph);
-    }
-    else
-    {
-        num_pts=0;
-    }
-
-    /* Consult the horizontal metrics table to determine */
-    /* the character width. */
-    if ( charindex < font->numberOfHMetrics )
-    {
-        advance_width = getuFWord( font->hmtx_table + (charindex * 4) );
-    }
-    else
-    {
-        advance_width = getuFWord( font->hmtx_table + ((font->numberOfHMetrics-1) * 4) );
-    }
-
-    /* Execute setcachedevice in order to inform the font machinery */
-    /* of the character bounding box and advance width. */
-    stack(stream, 7);
-    if (pdf_mode)
-    {
-        if (!embedded) {
-            stream.printf("%d 0 %d %d %d %d d1\n",
-                          topost(advance_width),
-                          topost(llx), topost(lly), topost(urx), topost(ury) );
-        }
-    }
-    else if (font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.printf("pop gsave .001 .001 scale %d 0 %d %d %d %d setcachedevice\n",
-                      topost(advance_width),
-                      topost(llx), topost(lly), topost(urx), topost(ury) );
-    }
-    else
-    {
-        stream.printf("%d 0 %d %d %d %d _sc\n",
-                      topost(advance_width),
-                      topost(llx), topost(lly), topost(urx), topost(ury) );
-    }
-
-    /* If it is a simple glyph, convert it, */
-    /* otherwise, close the stack business. */
-    if ( num_ctr > 0 )          /* simple */
-    {
-        PSConvert(stream);
-    }
-    else if ( num_ctr < 0 )     /* composite */
-    {
-        do_composite(stream, font, glyph);
-    }
-
-    if (font->target_type == PS_TYPE_42_3_HYBRID)
-    {
-        stream.printf("\ngrestore\n");
-    }
-
-    stack_end(stream);
-}
-
-/*
-** This is the routine which is called from pprdrv_tt.c.
-*/
-void tt_type3_charproc(TTStreamWriter& stream, struct TTFONT *font, int charindex)
-{
-    GlyphToType3 glyph(stream, font, charindex);
-} /* end of tt_type3_charproc() */
-
-/*
-** Some of the given glyph ids may refer to composite glyphs.
-** This function adds all of the dependencies of those composite
-** glyphs to the glyph id vector.  Michael Droettboom [06-07-07]
-*/
-void ttfont_add_glyph_dependencies(struct TTFONT *font, std::vector<int>& glyph_ids)
-{
-    std::sort(glyph_ids.begin(), glyph_ids.end());
-
-    std::stack<int> glyph_stack;
-    for (std::vector<int>::iterator i = glyph_ids.begin();
-            i != glyph_ids.end(); ++i)
-    {
-        glyph_stack.push(*i);
-    }
-
-    while (glyph_stack.size())
-    {
-        int gind = glyph_stack.top();
-        glyph_stack.pop();
-
-        BYTE* glyph = find_glyph_data( font, gind );
-        if (glyph != (BYTE*)NULL)
-        {
-
-            int num_ctr = getSHORT(glyph);
-            if (num_ctr <= 0)   // This is a composite glyph
-            {
-
-                glyph += 10;
-                USHORT flags = 0;
-
-                do
-                {
-                    flags = getUSHORT(glyph);
-                    glyph += 2;
-                    gind = (int)getUSHORT(glyph);
-                    glyph += 2;
-
-                    std::vector<int>::iterator insertion =
-                        std::lower_bound(glyph_ids.begin(), glyph_ids.end(), gind);
-                    if (insertion == glyph_ids.end() || *insertion != gind)
-                    {
-                        glyph_ids.insert(insertion, gind);
-                        glyph_stack.push(gind);
-                    }
-
-                    if (flags & ARG_1_AND_2_ARE_WORDS)
-                    {
-                        glyph += 4;
-                    }
-                    else
-                    {
-                        glyph += 2;
-                    }
-
-                    if (flags & WE_HAVE_A_SCALE)
-                    {
-                        glyph += 2;
-                    }
-                    else if (flags & WE_HAVE_AN_X_AND_Y_SCALE)
-                    {
-                        glyph += 4;
-                    }
-                    else if (flags & WE_HAVE_A_TWO_BY_TWO)
-                    {
-                        glyph += 8;
-                    }
-                }
-                while (flags & MORE_COMPONENTS);
-            }
-        }
-    }
-}
-
-/* end of file */
diff --git a/extern/ttconv/truetype.h b/extern/ttconv/truetype.h
deleted file mode 100644
index 86be14fe3705..000000000000
--- a/extern/ttconv/truetype.h
+++ /dev/null
@@ -1,129 +0,0 @@
-/* -*- mode: c; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-#include <stdio.h>
-
-/*
-** ~ppr/src/include/typetype.h
-**
-** Permission to use, copy, modify, and distribute this software and its
-** documentation for any purpose and without fee is hereby granted, provided
-** that the above copyright notice appear in all copies and that both that
-** copyright notice and this permission notice appear in supporting
-** documentation.  This software is provided "as is" without express or
-** implied warranty.
-**
-** This include file is shared by the source files
-** "pprdrv/pprdrv_tt.c" and "pprdrv/pprdrv_tt2.c".
-**
-** Last modified 19 April 1995.
-*/
-
-/* Types used in TrueType font files. */
-#define BYTE unsigned char
-#define USHORT unsigned short int
-#define SHORT short signed int
-#define ULONG unsigned int
-#define FIXED long signed int
-#define FWord short signed int
-#define uFWord short unsigned int
-
-/* This structure stores a 16.16 bit fixed */
-/* point number. */
-typedef struct
-    {
-    short int whole;
-    unsigned short int fraction;
-    } Fixed;
-
-/* This structure tells what we have found out about */
-/* the current font. */
-struct TTFONT
-    {
-    // A quick-and-dirty way to create a minimum level of exception safety
-    // Added by Michael Droettboom
-    TTFONT();
-    ~TTFONT();
-
-    const char *filename;               /* Name of TT file */
-    FILE *file;                         /* the open TT file */
-    font_type_enum  target_type;        /* 42 or 3 for PS, or -3 for PDF */
-
-    ULONG numTables;                    /* number of tables present */
-    char *PostName;                     /* Font's PostScript name */
-    char *FullName;                     /* Font's full name */
-    char *FamilyName;                   /* Font's family name */
-    char *Style;                        /* Font's style string */
-    char *Copyright;                    /* Font's copyright string */
-    char *Version;                      /* Font's version string */
-    char *Trademark;                    /* Font's trademark string */
-    int llx,lly,urx,ury;                /* bounding box */
-
-    Fixed TTVersion;                    /* Truetype version number from offset table */
-    Fixed MfrRevision;                  /* Revision number of this font */
-
-    BYTE *offset_table;                 /* Offset table in memory */
-    BYTE *post_table;                   /* 'post' table in memory */
-
-    BYTE *loca_table;                   /* 'loca' table in memory */
-    BYTE *glyf_table;                   /* 'glyf' table in memory */
-    BYTE *hmtx_table;                   /* 'hmtx' table in memory */
-
-    USHORT numberOfHMetrics;
-    int unitsPerEm;                     /* unitsPerEm converted to int */
-    int HUPM;                           /* half of above */
-
-    int numGlyphs;                      /* from 'post' table */
-
-    int indexToLocFormat;               /* short or long offsets */
-};
-
-ULONG getULONG(BYTE *p);
-USHORT getUSHORT(BYTE *p);
-Fixed getFixed(BYTE *p);
-
-/*
-** Get an funits word.
-** since it is 16 bits long, we can
-** use getUSHORT() to do the real work.
-*/
-#define getFWord(x) (FWord)getUSHORT(x)
-#define getuFWord(x) (uFWord)getUSHORT(x)
-
-/*
-** We can get a SHORT by making USHORT signed.
-*/
-#define getSHORT(x) (SHORT)getUSHORT(x)
-
-/* This is the one routine in pprdrv_tt.c that is */
-/* called from pprdrv_tt.c. */
-const char *ttfont_CharStrings_getname(struct TTFONT *font, int charindex);
-
-void tt_type3_charproc(TTStreamWriter& stream, struct TTFONT *font, int charindex);
-
-/* Added 06-07-07 Michael Droettboom */
-void ttfont_add_glyph_dependencies(struct TTFONT *font, std::vector<int>& glypy_ids);
-
-/* This routine converts a number in the font's character coordinate */
-/* system to a number in a 1000 unit character system. */
-#define topost(x) (int)( ((int)(x) * 1000 + font->HUPM) / font->unitsPerEm )
-#define topost2(x) (int)( ((int)(x) * 1000 + font.HUPM) / font.unitsPerEm )
-
-/* Composite glyph values. */
-#define ARG_1_AND_2_ARE_WORDS 1
-#define ARGS_ARE_XY_VALUES 2
-#define ROUND_XY_TO_GRID 4
-#define WE_HAVE_A_SCALE 8
-/* RESERVED 16 */
-#define MORE_COMPONENTS 32
-#define WE_HAVE_AN_X_AND_Y_SCALE 64
-#define WE_HAVE_A_TWO_BY_TWO 128
-#define WE_HAVE_INSTRUCTIONS 256
-#define USE_MY_METRICS 512
-
-/* end of file */
diff --git a/extern/ttconv/ttutil.cpp b/extern/ttconv/ttutil.cpp
deleted file mode 100644
index 52c3c8bf75c5..000000000000
--- a/extern/ttconv/ttutil.cpp
+++ /dev/null
@@ -1,83 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/*
- * Modified for use within matplotlib
- * 5 July 2007
- * Michael Droettboom
- */
-
-/* Very simple interface to the ppr TT routines */
-/* (c) Frank Siegert 1996 */
-
-#include "global_defines.h"
-#include <cstdio>
-#include <cstdarg>
-#include <cstdlib>
-#include "pprdrv.h"
-
-#if DEBUG_TRUETYPE
-void debug(const char *format, ... )
-{
-  va_list arg_list;
-  va_start(arg_list, format);
-
-  printf(format, arg_list);
-
-  va_end(arg_list);
-}
-#endif
-
-#define PRINTF_BUFFER_SIZE 512
-void TTStreamWriter::printf(const char* format, ...)
-{
-  va_list arg_list;
-  va_start(arg_list, format);
-  char buffer[PRINTF_BUFFER_SIZE];
-
-#if defined(WIN32) || defined(_MSC_VER)
-  int size = _vsnprintf(buffer, PRINTF_BUFFER_SIZE, format, arg_list);
-#else
-  int size = vsnprintf(buffer, PRINTF_BUFFER_SIZE, format, arg_list);
-#endif
-  if (size >= PRINTF_BUFFER_SIZE) {
-    char* buffer2 = (char*)malloc(size);
-#if defined(WIN32) || defined(_MSC_VER)
-    _vsnprintf(buffer2, size, format, arg_list);
-#else
-    vsnprintf(buffer2, size, format, arg_list);
-#endif
-    free(buffer2);
-  } else {
-    this->write(buffer);
-  }
-
-  va_end(arg_list);
-}
-
-void TTStreamWriter::put_char(int val)
-{
-  char c[2];
-  c[0] = (char)val;
-  c[1] = 0;
-  this->write(c);
-}
-
-void TTStreamWriter::puts(const char *a)
-{
-  this->write(a);
-}
-
-void TTStreamWriter::putline(const char *a)
-{
-  this->write(a);
-  this->write("\n");
-}
-
-void replace_newlines_with_spaces(char *a) {
-  char* i = a;
-  while (*i != 0) {
-    if (*i == '\n')
-      *i = ' ';
-    i++;
-  }
-}
diff --git a/galleries/examples/README.txt b/galleries/examples/README.txt
new file mode 100644
index 000000000000..31d4beae578d
--- /dev/null
+++ b/galleries/examples/README.txt
@@ -0,0 +1,21 @@
+
+.. _examples-index:
+
+.. _gallery:
+
+========
+Examples
+========
+For an overview of the plotting methods we provide, see :ref:`plot_types`
+
+This page contains example plots. Click on any image to see the full image
+and source code.
+
+For longer tutorials, see our :ref:`tutorials page <tutorials>`.
+You can also find :ref:`external resources <resources-index>` and
+a :ref:`FAQ <faq-index>` in our :ref:`user guide <users-guide-index>`.
+
+
+.. admonition:: Tagging!
+
+    You can also browse the example gallery by :ref:`tags <tagoverview>`.
diff --git a/galleries/examples/animation/README.txt b/galleries/examples/animation/README.txt
new file mode 100644
index 000000000000..c2177be47df0
--- /dev/null
+++ b/galleries/examples/animation/README.txt
@@ -0,0 +1,6 @@
+.. _animation_examples:
+
+.. _animation-examples-index:
+
+Animation
+=========
diff --git a/galleries/examples/animation/animate_decay.py b/galleries/examples/animation/animate_decay.py
new file mode 100644
index 000000000000..2238af6558c2
--- /dev/null
+++ b/galleries/examples/animation/animate_decay.py
@@ -0,0 +1,59 @@
+"""
+=====
+Decay
+=====
+
+This example showcases:
+
+- using a generator to drive an animation,
+- changing axes limits during an animation.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import itertools
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+
+def data_gen():
+    for cnt in itertools.count():
+        t = cnt / 10
+        yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)
+
+
+def init():
+    ax.set_ylim(-1.1, 1.1)
+    ax.set_xlim(0, 1)
+    del xdata[:]
+    del ydata[:]
+    line.set_data(xdata, ydata)
+    return line,
+
+fig, ax = plt.subplots()
+line, = ax.plot([], [], lw=2)
+ax.grid()
+xdata, ydata = [], []
+
+
+def run(data):
+    # update the data
+    t, y = data
+    xdata.append(t)
+    ydata.append(y)
+    xmin, xmax = ax.get_xlim()
+
+    if t >= xmax:
+        ax.set_xlim(xmin, 2*xmax)
+        ax.figure.canvas.draw()
+    line.set_data(xdata, ydata)
+
+    return line,
+
+# Only save last 100 frames, but run forever
+ani = animation.FuncAnimation(fig, run, data_gen, interval=100, init_func=init,
+                              save_count=100)
+plt.show()
diff --git a/galleries/examples/animation/animated_histogram.py b/galleries/examples/animation/animated_histogram.py
new file mode 100644
index 000000000000..ad9f871f5cbc
--- /dev/null
+++ b/galleries/examples/animation/animated_histogram.py
@@ -0,0 +1,59 @@
+"""
+==================
+Animated histogram
+==================
+
+Use histogram's `.BarContainer` to draw a bunch of rectangles for an animated
+histogram.
+"""
+
+import functools
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+# Setting up a random number generator with a fixed state for reproducibility.
+rng = np.random.default_rng(seed=19680801)
+# Fixing bin edges.
+HIST_BINS = np.linspace(-4, 4, 100)
+
+# Histogram our data with numpy.
+data = rng.standard_normal(1000)
+n, _ = np.histogram(data, HIST_BINS)
+
+# %%
+# To animate the histogram, we need an ``animate`` function, which generates
+# a random set of numbers and updates the heights of rectangles. The ``animate``
+# function updates the `.Rectangle` patches on an instance of `.BarContainer`.
+
+
+def animate(frame_number, bar_container):
+    # Simulate new data coming in.
+    data = rng.standard_normal(1000)
+    n, _ = np.histogram(data, HIST_BINS)
+    for count, rect in zip(n, bar_container.patches):
+        rect.set_height(count)
+
+    return bar_container.patches
+
+# %%
+# Using :func:`~matplotlib.pyplot.hist` allows us to get an instance of
+# `.BarContainer`, which is a collection of `.Rectangle` instances.  Since
+# `.FuncAnimation` will only pass the frame number parameter to the animation
+# function, we use `functools.partial` to fix the ``bar_container`` parameter.
+
+# Output generated via `matplotlib.animation.Animation.to_jshtml`.
+
+fig, ax = plt.subplots()
+_, _, bar_container = ax.hist(data, HIST_BINS, lw=1,
+                              ec="yellow", fc="green", alpha=0.5)
+ax.set_ylim(top=55)  # set safe limit to ensure that all data is visible.
+
+anim = functools.partial(animate, bar_container=bar_container)
+ani = animation.FuncAnimation(fig, anim, 50, repeat=False, blit=True)
+plt.show()
+
+# %%
+# .. tags:: plot-type: histogram, component: animation
diff --git a/galleries/examples/animation/animation_demo.py b/galleries/examples/animation/animation_demo.py
new file mode 100644
index 000000000000..d2de7c43e7b5
--- /dev/null
+++ b/galleries/examples/animation/animation_demo.py
@@ -0,0 +1,30 @@
+"""
+================
+pyplot animation
+================
+
+Generating an animation by calling `~.pyplot.pause` between plotting commands.
+
+The method shown here is only suitable for simple, low-performance use.  For
+more demanding applications, look at the :mod:`.animation` module and the
+examples that use it.
+
+Note that calling `time.sleep` instead of `~.pyplot.pause` would *not* work.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+data = np.random.random((50, 50, 50))
+
+fig, ax = plt.subplots()
+
+for i, img in enumerate(data):
+    ax.clear()
+    ax.imshow(img)
+    ax.set_title(f"frame {i}")
+    # Note that using time.sleep does *not* work here!
+    plt.pause(0.1)
diff --git a/galleries/examples/animation/bayes_update.py b/galleries/examples/animation/bayes_update.py
new file mode 100644
index 000000000000..b2ea27cee275
--- /dev/null
+++ b/galleries/examples/animation/bayes_update.py
@@ -0,0 +1,74 @@
+"""
+================
+The Bayes update
+================
+
+This animation displays the posterior estimate updates as it is refitted when
+new data arrives.
+The vertical line represents the theoretical value to which the plotted
+distribution should converge.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import math
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.animation import FuncAnimation
+
+
+def beta_pdf(x, a, b):
+    return (x**(a-1) * (1-x)**(b-1) * math.gamma(a + b)
+            / (math.gamma(a) * math.gamma(b)))
+
+
+class UpdateDist:
+    def __init__(self, ax, prob=0.5):
+        self.success = 0
+        self.prob = prob
+        self.line, = ax.plot([], [], 'k-')
+        self.x = np.linspace(0, 1, 200)
+        self.ax = ax
+
+        # Set up plot parameters
+        self.ax.set_xlim(0, 1)
+        self.ax.set_ylim(0, 10)
+        self.ax.grid(True)
+
+        # This vertical line represents the theoretical value, to
+        # which the plotted distribution should converge.
+        self.ax.axvline(prob, linestyle='--', color='black')
+
+    def start(self):
+        # Used for the *init_func* parameter of FuncAnimation; this is called when
+        # initializing the animation, and also after resizing the figure.
+        return self.line,
+
+    def __call__(self, i):
+        # This way the plot can continuously run and we just keep
+        # watching new realizations of the process
+        if i == 0:
+            self.success = 0
+            self.line.set_data([], [])
+            return self.line,
+
+        # Choose success based on exceed a threshold with a uniform pick
+        if np.random.rand() < self.prob:
+            self.success += 1
+        y = beta_pdf(self.x, self.success + 1, (i - self.success) + 1)
+        self.line.set_data(self.x, y)
+        return self.line,
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig, ax = plt.subplots()
+ud = UpdateDist(ax, prob=0.7)
+anim = FuncAnimation(fig, ud, init_func=ud.start, frames=100, interval=100, blit=True)
+plt.show()
+
+# %%
+# .. tags:: component: animation, plot-type: line
diff --git a/galleries/examples/animation/double_pendulum.py b/galleries/examples/animation/double_pendulum.py
new file mode 100644
index 000000000000..7a42a6d989ba
--- /dev/null
+++ b/galleries/examples/animation/double_pendulum.py
@@ -0,0 +1,110 @@
+"""
+===========================
+The double pendulum problem
+===========================
+
+This animation illustrates the double pendulum problem.
+
+Double pendulum formula translated from the C code at
+http://www.physics.usyd.edu.au/~wheat/dpend_html/solve_dpend.c
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+from numpy import cos, sin
+
+import matplotlib.animation as animation
+
+G = 9.8  # acceleration due to gravity, in m/s^2
+L1 = 1.0  # length of pendulum 1 in m
+L2 = 1.0  # length of pendulum 2 in m
+L = L1 + L2  # maximal length of the combined pendulum
+M1 = 1.0  # mass of pendulum 1 in kg
+M2 = 1.0  # mass of pendulum 2 in kg
+t_stop = 2.5  # how many seconds to simulate
+history_len = 500  # how many trajectory points to display
+
+
+def derivs(t, state):
+    dydx = np.zeros_like(state)
+
+    dydx[0] = state[1]
+
+    delta = state[2] - state[0]
+    den1 = (M1+M2) * L1 - M2 * L1 * cos(delta) * cos(delta)
+    dydx[1] = ((M2 * L1 * state[1] * state[1] * sin(delta) * cos(delta)
+                + M2 * G * sin(state[2]) * cos(delta)
+                + M2 * L2 * state[3] * state[3] * sin(delta)
+                - (M1+M2) * G * sin(state[0]))
+               / den1)
+
+    dydx[2] = state[3]
+
+    den2 = (L2/L1) * den1
+    dydx[3] = ((- M2 * L2 * state[3] * state[3] * sin(delta) * cos(delta)
+                + (M1+M2) * G * sin(state[0]) * cos(delta)
+                - (M1+M2) * L1 * state[1] * state[1] * sin(delta)
+                - (M1+M2) * G * sin(state[2]))
+               / den2)
+
+    return dydx
+
+# create a time array from 0..t_stop sampled at 0.02 second steps
+dt = 0.01
+t = np.arange(0, t_stop, dt)
+
+# th1 and th2 are the initial angles (degrees)
+# w10 and w20 are the initial angular velocities (degrees per second)
+th1 = 120.0
+w1 = 0.0
+th2 = -10.0
+w2 = 0.0
+
+# initial state
+state = np.radians([th1, w1, th2, w2])
+
+# integrate the ODE using Euler's method
+y = np.empty((len(t), 4))
+y[0] = state
+for i in range(1, len(t)):
+    y[i] = y[i - 1] + derivs(t[i - 1], y[i - 1]) * dt
+
+# A more accurate estimate could be obtained e.g. using scipy:
+#
+#   y = scipy.integrate.solve_ivp(derivs, t[[0, -1]], state, t_eval=t).y.T
+
+x1 = L1*sin(y[:, 0])
+y1 = -L1*cos(y[:, 0])
+
+x2 = L2*sin(y[:, 2]) + x1
+y2 = -L2*cos(y[:, 2]) + y1
+
+fig = plt.figure(figsize=(5, 4))
+ax = fig.add_subplot(autoscale_on=False, xlim=(-L, L), ylim=(-L, 1.))
+ax.set_aspect('equal')
+ax.grid()
+
+line, = ax.plot([], [], 'o-', lw=2)
+trace, = ax.plot([], [], '.-', lw=1, ms=2)
+time_template = 'time = %.1fs'
+time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
+
+
+def animate(i):
+    thisx = [0, x1[i], x2[i]]
+    thisy = [0, y1[i], y2[i]]
+
+    history_x = x2[:i]
+    history_y = y2[:i]
+
+    line.set_data(thisx, thisy)
+    trace.set_data(history_x, history_y)
+    time_text.set_text(time_template % (i*dt))
+    return line, trace, time_text
+
+
+ani = animation.FuncAnimation(
+    fig, animate, len(y), interval=dt*1000, blit=True)
+plt.show()
diff --git a/galleries/examples/animation/dynamic_image.py b/galleries/examples/animation/dynamic_image.py
new file mode 100644
index 000000000000..908a7517865d
--- /dev/null
+++ b/galleries/examples/animation/dynamic_image.py
@@ -0,0 +1,51 @@
+"""
+=================================================
+Animated image using a precomputed list of images
+=================================================
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+fig, ax = plt.subplots()
+
+
+def f(x, y):
+    return np.sin(x) + np.cos(y)
+
+x = np.linspace(0, 2 * np.pi, 120)
+y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
+
+# ims is a list of lists, each row is a list of artists to draw in the
+# current frame; here we are just animating one artist, the image, in
+# each frame
+ims = []
+for i in range(60):
+    x += np.pi / 15
+    y += np.pi / 30
+    im = ax.imshow(f(x, y), animated=True)
+    if i == 0:
+        ax.imshow(f(x, y))  # show an initial one first
+    ims.append([im])
+
+ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
+                                repeat_delay=1000)
+
+# To save the animation, use e.g.
+#
+# ani.save("movie.mp4")
+#
+# or
+#
+# writer = animation.FFMpegWriter(
+#     fps=15, metadata=dict(artist='Me'), bitrate=1800)
+# ani.save("movie.mp4", writer=writer)
+
+plt.show()
+
+# %%
+# .. tags:: component: animation
diff --git a/galleries/examples/animation/frame_grabbing_sgskip.py b/galleries/examples/animation/frame_grabbing_sgskip.py
new file mode 100644
index 000000000000..dcc2ca01afd9
--- /dev/null
+++ b/galleries/examples/animation/frame_grabbing_sgskip.py
@@ -0,0 +1,41 @@
+"""
+==============
+Frame grabbing
+==============
+
+Use a MovieWriter directly to grab individual frames and write them to a
+file.  This avoids any event loop integration, and thus works even with the Agg
+backend.  This is not recommended for use in an interactive setting.
+"""
+
+import numpy as np
+
+import matplotlib
+
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
+
+from matplotlib.animation import FFMpegWriter
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+metadata = dict(title='Movie Test', artist='Matplotlib',
+                comment='Movie support!')
+writer = FFMpegWriter(fps=15, metadata=metadata)
+
+fig = plt.figure()
+l, = plt.plot([], [], 'k-o')
+
+plt.xlim(-5, 5)
+plt.ylim(-5, 5)
+
+x0, y0 = 0, 0
+
+with writer.saving(fig, "writer_test.mp4", 100):
+    for i in range(100):
+        x0 += 0.1 * np.random.randn()
+        y0 += 0.1 * np.random.randn()
+        l.set_data([x0], [y0])
+        writer.grab_frame()
diff --git a/galleries/examples/animation/multiple_axes.py b/galleries/examples/animation/multiple_axes.py
new file mode 100644
index 000000000000..ce6b811b9e3e
--- /dev/null
+++ b/galleries/examples/animation/multiple_axes.py
@@ -0,0 +1,84 @@
+"""
+=======================
+Multiple Axes animation
+=======================
+
+This example showcases:
+
+- how animation across multiple subplots works,
+- using a figure artist in the animation.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+from matplotlib.patches import ConnectionPatch
+
+fig, (axl, axr) = plt.subplots(
+    ncols=2,
+    sharey=True,
+    figsize=(6, 2),
+    gridspec_kw=dict(width_ratios=[1, 3], wspace=0),
+)
+axl.set_aspect(1)
+axr.set_box_aspect(1 / 3)
+axr.yaxis.set_visible(False)
+axr.xaxis.set_ticks([0, np.pi, 2 * np.pi], ["0", r"$\pi$", r"$2\pi$"])
+
+# draw circle with initial point in left Axes
+x = np.linspace(0, 2 * np.pi, 50)
+axl.plot(np.cos(x), np.sin(x), "k", lw=0.3)
+point, = axl.plot(0, 0, "o")
+
+# draw full curve to set view limits in right Axes
+sine, = axr.plot(x, np.sin(x))
+
+# draw connecting line between both graphs
+con = ConnectionPatch(
+    (1, 0),
+    (0, 0),
+    "data",
+    "data",
+    axesA=axl,
+    axesB=axr,
+    color="C0",
+    ls="dotted",
+)
+fig.add_artist(con)
+
+
+def animate(i):
+    x = np.linspace(0, i, int(i * 25 / np.pi))
+    sine.set_data(x, np.sin(x))
+    x, y = np.cos(i), np.sin(i)
+    point.set_data([x], [y])
+    con.xy1 = x, y
+    con.xy2 = i, y
+    return point, sine, con
+
+
+ani = animation.FuncAnimation(
+    fig,
+    animate,
+    interval=50,
+    blit=False,  # blitting can't be used with Figure artists
+    frames=x,
+    repeat_delay=100,
+)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches.ConnectionPatch`
+#    - `matplotlib.animation.FuncAnimation`
+#
+# .. tags:: component: axes, component: animation
diff --git a/galleries/examples/animation/pause_resume.py b/galleries/examples/animation/pause_resume.py
new file mode 100644
index 000000000000..e62dd049e11f
--- /dev/null
+++ b/galleries/examples/animation/pause_resume.py
@@ -0,0 +1,59 @@
+"""
+=============================
+Pause and resume an animation
+=============================
+
+This example showcases:
+
+- using the Animation.pause() method to pause an animation.
+- using the Animation.resume() method to resume an animation.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+
+class PauseAnimation:
+    def __init__(self):
+        fig, ax = plt.subplots()
+        ax.set_title('Click to pause/resume the animation')
+        x = np.linspace(-0.1, 0.1, 1000)
+
+        # Start with a normal distribution
+        self.n0 = (1.0 / ((4 * np.pi * 2e-4 * 0.1) ** 0.5)
+                   * np.exp(-x ** 2 / (4 * 2e-4 * 0.1)))
+        self.p, = ax.plot(x, self.n0)
+
+        self.animation = animation.FuncAnimation(
+            fig, self.update, frames=200, interval=50, blit=True)
+        self.paused = False
+
+        fig.canvas.mpl_connect('button_press_event', self.toggle_pause)
+
+    def toggle_pause(self, *args, **kwargs):
+        if self.paused:
+            self.animation.resume()
+        else:
+            self.animation.pause()
+        self.paused = not self.paused
+
+    def update(self, i):
+        self.n0 += i / 100 % 5
+        self.p.set_ydata(self.n0 % 20)
+        return (self.p,)
+
+
+pa = PauseAnimation()
+plt.show()
diff --git a/examples/animation/rain.py b/galleries/examples/animation/rain.py
similarity index 76%
rename from examples/animation/rain.py
rename to galleries/examples/animation/rain.py
index ee3c7f72d773..eacfaecc59e2 100644
--- a/examples/animation/rain.py
+++ b/galleries/examples/animation/rain.py
@@ -1,15 +1,24 @@
 """
+===============
 Rain simulation
+===============
 
 Simulates rain drops on a surface by animating the scale and opacity
 of 50 scatter points.
 
 Author: Nicolas P. Rougier
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
 """
-import numpy as np
+
 import matplotlib.pyplot as plt
+import numpy as np
+
 from matplotlib.animation import FuncAnimation
 
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
 
 # Create new Figure and an Axes which fills it.
 fig = plt.figure(figsize=(7, 7))
@@ -19,10 +28,10 @@
 
 # Create rain data
 n_drops = 50
-rain_drops = np.zeros(n_drops, dtype=[('position', float, 2),
-                                      ('size',     float, 1),
-                                      ('growth',   float, 1),
-                                      ('color',    float, 4)])
+rain_drops = np.zeros(n_drops, dtype=[('position', float, (2,)),
+                                      ('size',     float),
+                                      ('growth',   float),
+                                      ('color',    float, (4,))])
 
 # Initialize the raindrops in random positions and with
 # random growth rates.
@@ -58,9 +67,16 @@ def update(frame_number):
     scat.set_edgecolors(rain_drops['color'])
     scat.set_sizes(rain_drops['size'])
     scat.set_offsets(rain_drops['position'])
+    return [scat]
 
 
-# Construct the animation, using the update function as the animation
-# director.
-animation = FuncAnimation(fig, update, interval=10)
+# Construct the animation, using the update function as the animation director.
+animation = FuncAnimation(fig, update, interval=10, save_count=100, blit=True)
 plt.show()
+
+# %%
+# .. tags::
+#
+#    component: animation
+#    plot-type: scatter
+#    purpose: fun
diff --git a/galleries/examples/animation/random_walk.py b/galleries/examples/animation/random_walk.py
new file mode 100644
index 000000000000..e1b3481d0378
--- /dev/null
+++ b/galleries/examples/animation/random_walk.py
@@ -0,0 +1,55 @@
+"""
+=======================
+Animated 3D random walk
+=======================
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def random_walk(num_steps, max_step=0.05):
+    """Return a 3D random walk as (num_steps, 3) array."""
+    start_pos = np.random.random(3)
+    steps = np.random.uniform(-max_step, max_step, size=(num_steps, 3))
+    walk = start_pos + np.cumsum(steps, axis=0)
+    return walk
+
+
+def update_lines(num, walks, lines):
+    for line, walk in zip(lines, walks):
+        line.set_data_3d(walk[:num, :].T)
+    return lines
+
+
+# Data: 40 random walks as (num_steps, 3) arrays
+num_steps = 30
+walks = [random_walk(num_steps) for index in range(40)]
+
+# Attaching 3D axis to the figure
+fig = plt.figure()
+ax = fig.add_subplot(projection="3d")
+
+# Create lines initially without data
+lines = [ax.plot([], [], [])[0] for _ in walks]
+
+# Setting the Axes properties
+ax.set(xlim3d=(0, 1), xlabel='X')
+ax.set(ylim3d=(0, 1), ylabel='Y')
+ax.set(zlim3d=(0, 1), zlabel='Z')
+
+# Creating the Animation object
+ani = animation.FuncAnimation(
+    fig, update_lines, num_steps, fargs=(walks, lines), interval=100)
+
+plt.show()
+
+# %%
+# .. tags:: component: animation, plot-type: 3D
diff --git a/galleries/examples/animation/simple_anim.py b/galleries/examples/animation/simple_anim.py
new file mode 100644
index 000000000000..5391ca5b7aed
--- /dev/null
+++ b/galleries/examples/animation/simple_anim.py
@@ -0,0 +1,38 @@
+"""
+==================
+Animated line plot
+==================
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+fig, ax = plt.subplots()
+
+x = np.arange(0, 2*np.pi, 0.01)
+line, = ax.plot(x, np.sin(x))
+
+
+def animate(i):
+    line.set_ydata(np.sin(x + i / 50))  # update the data.
+    return line,
+
+
+ani = animation.FuncAnimation(
+    fig, animate, interval=20, blit=True, save_count=50)
+
+# To save the animation, use e.g.
+#
+# ani.save("movie.mp4")
+#
+# or
+#
+# writer = animation.FFMpegWriter(
+#     fps=15, metadata=dict(artist='Me'), bitrate=1800)
+# ani.save("movie.mp4", writer=writer)
+
+plt.show()
diff --git a/galleries/examples/animation/simple_scatter.py b/galleries/examples/animation/simple_scatter.py
new file mode 100644
index 000000000000..3f8c285810a3
--- /dev/null
+++ b/galleries/examples/animation/simple_scatter.py
@@ -0,0 +1,41 @@
+"""
+=============================
+Animated scatter saved as GIF
+=============================
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+fig, ax = plt.subplots()
+ax.set_xlim([0, 10])
+
+scat = ax.scatter(1, 0)
+x = np.linspace(0, 10)
+
+
+def animate(i):
+    scat.set_offsets((x[i], 0))
+    return (scat,)
+
+
+ani = animation.FuncAnimation(fig, animate, repeat=True, frames=len(x) - 1, interval=50)
+
+# To save the animation using Pillow as a gif
+# writer = animation.PillowWriter(fps=15,
+#                                 metadata=dict(artist='Me'),
+#                                 bitrate=1800)
+# ani.save('scatter.gif', writer=writer)
+
+plt.show()
+
+# %%
+#
+# .. tags::
+#    component: animation,
+#    plot-type: scatter,
+#    purpose: reference,
+#    level: intermediate
diff --git a/galleries/examples/animation/strip_chart.py b/galleries/examples/animation/strip_chart.py
new file mode 100644
index 000000000000..0e533a255f1c
--- /dev/null
+++ b/galleries/examples/animation/strip_chart.py
@@ -0,0 +1,71 @@
+"""
+============
+Oscilloscope
+============
+
+Emulates an oscilloscope.
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+from matplotlib.lines import Line2D
+
+
+class Scope:
+    def __init__(self, ax, maxt=2, dt=0.02):
+        self.ax = ax
+        self.dt = dt
+        self.maxt = maxt
+        self.tdata = [0]
+        self.ydata = [0]
+        self.line = Line2D(self.tdata, self.ydata)
+        self.ax.add_line(self.line)
+        self.ax.set_ylim(-.1, 1.1)
+        self.ax.set_xlim(0, self.maxt)
+
+    def update(self, y):
+        lastt = self.tdata[-1]
+        if lastt >= self.tdata[0] + self.maxt:  # reset the arrays
+            self.tdata = [self.tdata[-1]]
+            self.ydata = [self.ydata[-1]]
+            self.ax.set_xlim(self.tdata[0], self.tdata[0] + self.maxt)
+            self.ax.figure.canvas.draw()
+
+        # This slightly more complex calculation avoids floating-point issues
+        # from just repeatedly adding `self.dt` to the previous value.
+        t = self.tdata[0] + len(self.tdata) * self.dt
+
+        self.tdata.append(t)
+        self.ydata.append(y)
+        self.line.set_data(self.tdata, self.ydata)
+        return self.line,
+
+
+def emitter(p=0.1):
+    """Return a random value in [0, 1) with probability p, else 0."""
+    while True:
+        v = np.random.rand()
+        if v > p:
+            yield 0.
+        else:
+            yield np.random.rand()
+
+
+# Fixing random state for reproducibility
+np.random.seed(19680801 // 10)
+
+
+fig, ax = plt.subplots()
+scope = Scope(ax)
+
+# pass a generator in "emitter" to produce data for the update func
+ani = animation.FuncAnimation(fig, scope.update, emitter, interval=50,
+                              blit=True, save_count=100)
+
+plt.show()
+
+# ..tags:: animation, plot-type: line
diff --git a/examples/animation/unchained.py b/galleries/examples/animation/unchained.py
similarity index 78%
rename from examples/animation/unchained.py
rename to galleries/examples/animation/unchained.py
index 71cb69aecd12..40764798d425 100644
--- a/examples/animation/unchained.py
+++ b/galleries/examples/animation/unchained.py
@@ -1,23 +1,35 @@
 """
-Comparative path demonstration of frequency from a fake signal of a pulsar.
-(mostly known because of the cover for Joy Division's Unknown Pleasures)
+====================
+Matplotlib unchained
+====================
+
+Comparative path demonstration of frequency from a fake signal of a pulsar
+(mostly known because of the cover for Joy Division's Unknown Pleasures).
 
 Author: Nicolas P. Rougier
+
+Output generated via `matplotlib.animation.Animation.to_jshtml`.
 """
-import numpy as np
+
 import matplotlib.pyplot as plt
+import numpy as np
+
 import matplotlib.animation as animation
 
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
 # Create new Figure with black background
 fig = plt.figure(figsize=(8, 8), facecolor='black')
 
 # Add a subplot with no frame
-ax = plt.subplot(111, frameon=False)
+ax = plt.subplot(frameon=False)
 
 # Generate random data
 data = np.random.uniform(0, 1, (64, 75))
 X = np.linspace(-1, 1, data.shape[-1])
-G = 1.5 * np.exp(-4 * X * X)
+G = 1.5 * np.exp(-4 * X ** 2)
 
 # Generate line plots
 lines = []
@@ -59,7 +71,13 @@ def update(*args):
     # Return modified artists
     return lines
 
-# Construct the animation, using the update function as the animation
-# director.
-anim = animation.FuncAnimation(fig, update, interval=10)
+# Construct the animation, using the update function as the animation director.
+anim = animation.FuncAnimation(fig, update, interval=10, save_count=100)
 plt.show()
+
+# %%
+# .. tags::
+#
+#    component: animation
+#    plot-type: line
+#    purpose: fun
diff --git a/galleries/examples/axes_grid1/README.txt b/galleries/examples/axes_grid1/README.txt
new file mode 100644
index 000000000000..5fdbf13b9e44
--- /dev/null
+++ b/galleries/examples/axes_grid1/README.txt
@@ -0,0 +1,6 @@
+.. _axes_grid_examples:
+
+.. _axes_grid1-examples-index:
+
+Module - axes_grid1
+===================
diff --git a/galleries/examples/axes_grid1/demo_anchored_direction_arrows.py b/galleries/examples/axes_grid1/demo_anchored_direction_arrows.py
new file mode 100644
index 000000000000..f7d8fbc83868
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_anchored_direction_arrows.py
@@ -0,0 +1,82 @@
+"""
+========================
+Anchored Direction Arrow
+========================
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.font_manager as fm
+from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDirectionArrows
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+ax.imshow(np.random.random((10, 10)))
+
+# Simple example
+simple_arrow = AnchoredDirectionArrows(ax.transAxes, 'X', 'Y')
+ax.add_artist(simple_arrow)
+
+# High contrast arrow
+high_contrast_part_1 = AnchoredDirectionArrows(
+                            ax.transAxes,
+                            '111', r'11$\overline{2}$',
+                            loc='upper right',
+                            arrow_props={'ec': 'w', 'fc': 'none', 'alpha': 1,
+                                         'lw': 2}
+                            )
+ax.add_artist(high_contrast_part_1)
+
+high_contrast_part_2 = AnchoredDirectionArrows(
+                            ax.transAxes,
+                            '111', r'11$\overline{2}$',
+                            loc='upper right',
+                            arrow_props={'ec': 'none', 'fc': 'k'},
+                            text_props={'ec': 'w', 'fc': 'k', 'lw': 0.4}
+                            )
+ax.add_artist(high_contrast_part_2)
+
+# Rotated arrow
+fontprops = fm.FontProperties(family='serif')
+
+rotated_arrow = AnchoredDirectionArrows(
+                    ax.transAxes,
+                    '30', '120',
+                    loc='center',
+                    color='w',
+                    angle=30,
+                    fontproperties=fontprops
+                    )
+ax.add_artist(rotated_arrow)
+
+# Altering arrow directions
+a1 = AnchoredDirectionArrows(
+        ax.transAxes, 'A', 'B', loc='lower center',
+        length=-0.15,
+        sep_x=0.03, sep_y=0.03,
+        color='r'
+    )
+ax.add_artist(a1)
+
+a2 = AnchoredDirectionArrows(
+        ax.transAxes, 'A', ' B', loc='lower left',
+        aspect_ratio=-1,
+        sep_x=0.01, sep_y=-0.02,
+        color='orange'
+        )
+ax.add_artist(a2)
+
+
+a3 = AnchoredDirectionArrows(
+        ax.transAxes, ' A', 'B', loc='lower right',
+        length=-0.15,
+        aspect_ratio=-1,
+        sep_y=-0.1, sep_x=0.04,
+        color='cyan'
+        )
+ax.add_artist(a3)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_axes_divider.py b/galleries/examples/axes_grid1/demo_axes_divider.py
new file mode 100644
index 000000000000..42be8aacd8be
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_axes_divider.py
@@ -0,0 +1,109 @@
+"""
+============
+Axes divider
+============
+
+Axes divider to calculate location of Axes and
+create a divider for them using existing Axes instances.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib import cbook
+
+
+def get_demo_image():
+    z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
+    return z, (-3, 4, -4, 3)
+
+
+def demo_simple_image(ax):
+    Z, extent = get_demo_image()
+
+    im = ax.imshow(Z, extent=extent)
+    cb = plt.colorbar(im)
+    cb.ax.yaxis.set_tick_params(labelright=False)
+
+
+def demo_locatable_axes_hard(fig):
+    from mpl_toolkits.axes_grid1 import Size, SubplotDivider
+
+    divider = SubplotDivider(fig, 2, 2, 2, aspect=True)
+
+    # Axes for image
+    ax = fig.add_subplot(axes_locator=divider.new_locator(nx=0, ny=0))
+    # Axes for colorbar
+    ax_cb = fig.add_subplot(axes_locator=divider.new_locator(nx=2, ny=0))
+
+    divider.set_horizontal([
+        Size.AxesX(ax),  # main Axes
+        Size.Fixed(0.05),  # padding, 0.1 inch
+        Size.Fixed(0.2),  # colorbar, 0.3 inch
+    ])
+    divider.set_vertical([Size.AxesY(ax)])
+
+    Z, extent = get_demo_image()
+
+    im = ax.imshow(Z, extent=extent)
+    plt.colorbar(im, cax=ax_cb)
+    ax_cb.yaxis.set_tick_params(labelright=False)
+
+
+def demo_locatable_axes_easy(ax):
+    from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+    divider = make_axes_locatable(ax)
+
+    ax_cb = divider.append_axes("right", size="5%", pad=0.05)
+    fig = ax.get_figure()
+    fig.add_axes(ax_cb)
+
+    Z, extent = get_demo_image()
+    im = ax.imshow(Z, extent=extent)
+
+    plt.colorbar(im, cax=ax_cb)
+    ax_cb.yaxis.tick_right()
+    ax_cb.yaxis.set_tick_params(labelright=False)
+
+
+def demo_images_side_by_side(ax):
+    from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+    divider = make_axes_locatable(ax)
+
+    Z, extent = get_demo_image()
+    ax2 = divider.append_axes("right", size="100%", pad=0.05)
+    fig1 = ax.get_figure()
+    fig1.add_axes(ax2)
+
+    ax.imshow(Z, extent=extent)
+    ax2.imshow(Z, extent=extent)
+    ax2.yaxis.set_tick_params(labelleft=False)
+
+
+def demo():
+    fig = plt.figure(figsize=(6, 6))
+
+    # PLOT 1
+    # simple image & colorbar
+    ax = fig.add_subplot(2, 2, 1)
+    demo_simple_image(ax)
+
+    # PLOT 2
+    # image and colorbar with draw-time positioning -- a hard way
+    demo_locatable_axes_hard(fig)
+
+    # PLOT 3
+    # image and colorbar with draw-time positioning -- an easy way
+    ax = fig.add_subplot(2, 2, 3)
+    demo_locatable_axes_easy(ax)
+
+    # PLOT 4
+    # two images side by side with fixed padding.
+    ax = fig.add_subplot(2, 2, 4)
+    demo_images_side_by_side(ax)
+
+    plt.show()
+
+
+demo()
diff --git a/galleries/examples/axes_grid1/demo_axes_grid.py b/galleries/examples/axes_grid1/demo_axes_grid.py
new file mode 100644
index 000000000000..d29ca6a05859
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_axes_grid.py
@@ -0,0 +1,72 @@
+"""
+==============
+Demo Axes Grid
+==============
+
+Grid of 2x2 images with a single colorbar or with one colorbar per Axes.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+fig = plt.figure(figsize=(10.5, 2.5))
+Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
+extent = (-3, 4, -4, 3)
+
+
+# A grid of 2x2 images with 0.05 inch pad between images and only the
+# lower-left Axes is labeled.
+grid = ImageGrid(
+    fig, 141,  # similar to fig.add_subplot(141).
+     nrows_ncols=(2, 2), axes_pad=0.05, label_mode="1")
+for ax in grid:
+    ax.imshow(Z, extent=extent)
+# This only affects Axes in first column and second row as share_all=False.
+grid.axes_llc.set(xticks=[-2, 0, 2], yticks=[-2, 0, 2])
+
+
+# A grid of 2x2 images with a single colorbar.
+grid = ImageGrid(
+    fig, 142,  # similar to fig.add_subplot(142).
+    nrows_ncols=(2, 2), axes_pad=0.0, label_mode="L", share_all=True,
+    cbar_location="top", cbar_mode="single")
+for ax in grid:
+    im = ax.imshow(Z, extent=extent)
+grid.cbar_axes[0].colorbar(im)
+for cax in grid.cbar_axes:
+    cax.tick_params(labeltop=False)
+# This affects all Axes as share_all = True.
+grid.axes_llc.set(xticks=[-2, 0, 2], yticks=[-2, 0, 2])
+
+
+# A grid of 2x2 images. Each image has its own colorbar.
+grid = ImageGrid(
+    fig, 143,  # similar to fig.add_subplot(143).
+    nrows_ncols=(2, 2), axes_pad=0.1, label_mode="1", share_all=True,
+    cbar_location="top", cbar_mode="each", cbar_size="7%", cbar_pad="2%")
+for ax, cax in zip(grid, grid.cbar_axes):
+    im = ax.imshow(Z, extent=extent)
+    cax.colorbar(im)
+    cax.tick_params(labeltop=False)
+# This affects all Axes as share_all = True.
+grid.axes_llc.set(xticks=[-2, 0, 2], yticks=[-2, 0, 2])
+
+
+# A grid of 2x2 images. Each image has its own colorbar.
+grid = ImageGrid(
+    fig, 144,  # similar to fig.add_subplot(144).
+    nrows_ncols=(2, 2), axes_pad=(0.45, 0.15), label_mode="1", share_all=True,
+    cbar_location="right", cbar_mode="each", cbar_size="7%", cbar_pad="2%")
+# Use a different colorbar range every time
+limits = ((0, 1), (-2, 2), (-1.7, 1.4), (-1.5, 1))
+for ax, cax, vlim in zip(grid, grid.cbar_axes, limits):
+    im = ax.imshow(Z, extent=extent, vmin=vlim[0], vmax=vlim[1])
+    cb = cax.colorbar(im)
+    cb.set_ticks((vlim[0], vlim[1]))
+# This affects all Axes as share_all = True.
+grid.axes_llc.set(xticks=[-2, 0, 2], yticks=[-2, 0, 2])
+
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_axes_grid2.py b/galleries/examples/axes_grid1/demo_axes_grid2.py
new file mode 100644
index 000000000000..458e83b6d68f
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_axes_grid2.py
@@ -0,0 +1,69 @@
+"""
+==========
+Axes Grid2
+==========
+
+Grid of images with shared xaxis and yaxis.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+
+def add_inner_title(ax, title, loc, **kwargs):
+    from matplotlib.offsetbox import AnchoredText
+    from matplotlib.patheffects import withStroke
+    prop = dict(path_effects=[withStroke(foreground='w', linewidth=3)],
+                size=plt.rcParams['legend.fontsize'])
+    at = AnchoredText(title, loc=loc, prop=prop,
+                      pad=0., borderpad=0.5,
+                      frameon=False, **kwargs)
+    ax.add_artist(at)
+    return at
+
+
+fig = plt.figure(figsize=(6, 6))
+
+# Prepare images
+Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+extent = (-3, 4, -4, 3)
+ZS = [Z[i::3, :] for i in range(3)]
+extent = extent[0], extent[1]/3., extent[2], extent[3]
+
+# *** Demo 1: colorbar at each Axes ***
+grid = ImageGrid(
+    # 211 = at the position of fig.add_subplot(211)
+    fig, 211, nrows_ncols=(1, 3), axes_pad=0.05, label_mode="1", share_all=True,
+    cbar_location="top", cbar_mode="each", cbar_size="7%", cbar_pad="1%")
+grid[0].set(xticks=[-2, 0], yticks=[-2, 0, 2])
+
+for i, (ax, z) in enumerate(zip(grid, ZS)):
+    im = ax.imshow(z, origin="lower", extent=extent)
+    cb = ax.cax.colorbar(im)
+    # Changing the colorbar ticks
+    if i in [1, 2]:
+        cb.set_ticks([-1, 0, 1])
+
+for ax, im_title in zip(grid, ["Image 1", "Image 2", "Image 3"]):
+    add_inner_title(ax, im_title, loc='lower left')
+
+# *** Demo 2: shared colorbar ***
+grid2 = ImageGrid(
+    fig, 212, nrows_ncols=(1, 3), axes_pad=0.05, label_mode="1", share_all=True,
+    cbar_location="right", cbar_mode="single", cbar_size="10%", cbar_pad=0.05)
+grid2[0].set(xlabel="X", ylabel="Y", xticks=[-2, 0], yticks=[-2, 0, 2])
+
+clim = (np.min(ZS), np.max(ZS))
+for ax, z in zip(grid2, ZS):
+    im = ax.imshow(z, clim=clim, origin="lower", extent=extent)
+
+# With cbar_mode="single", cax attribute of all Axes are identical.
+ax.cax.colorbar(im)
+
+for ax, im_title in zip(grid2, ["(a)", "(b)", "(c)"]):
+    add_inner_title(ax, im_title, loc='upper left')
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_axes_hbox_divider.py b/galleries/examples/axes_grid1/demo_axes_hbox_divider.py
new file mode 100644
index 000000000000..5188bdf66d6f
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_axes_hbox_divider.py
@@ -0,0 +1,54 @@
+"""
+================================
+HBoxDivider and VBoxDivider demo
+================================
+
+Using an `.HBoxDivider` to arrange subplots.
+
+Note that both Axes' location are adjusted so that they have
+equal heights while maintaining their aspect ratios.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axes_grid1.axes_divider import HBoxDivider, VBoxDivider
+import mpl_toolkits.axes_grid1.axes_size as Size
+
+arr1 = np.arange(20).reshape((4, 5))
+arr2 = np.arange(20).reshape((5, 4))
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+ax1.imshow(arr1)
+ax2.imshow(arr2)
+
+pad = 0.5  # pad in inches
+divider = HBoxDivider(
+    fig, 111,
+    horizontal=[Size.AxesX(ax1), Size.Fixed(pad), Size.AxesX(ax2)],
+    vertical=[Size.AxesY(ax1), Size.Scaled(1), Size.AxesY(ax2)])
+ax1.set_axes_locator(divider.new_locator(0))
+ax2.set_axes_locator(divider.new_locator(2))
+
+plt.show()
+
+# %%
+# Using a `.VBoxDivider` to arrange subplots.
+#
+# Note that both Axes' location are adjusted so that they have
+# equal widths while maintaining their aspect ratios.
+
+fig, (ax1, ax2) = plt.subplots(2, 1)
+ax1.imshow(arr1)
+ax2.imshow(arr2)
+
+divider = VBoxDivider(
+    fig, 111,
+    horizontal=[Size.AxesX(ax1), Size.Scaled(1), Size.AxesX(ax2)],
+    vertical=[Size.AxesY(ax1), Size.Fixed(pad), Size.AxesY(ax2)])
+
+ax1.set_axes_locator(divider.new_locator(0))
+ax2.set_axes_locator(divider.new_locator(2))
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_axes_rgb.py b/galleries/examples/axes_grid1/demo_axes_rgb.py
new file mode 100644
index 000000000000..2cdb41fc323b
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_axes_rgb.py
@@ -0,0 +1,70 @@
+"""
+===============================
+Show RGB channels using RGBAxes
+===============================
+
+`~.axes_grid1.axes_rgb.RGBAxes` creates a layout of 4 Axes for displaying RGB
+channels: one large Axes for the RGB image and 3 smaller Axes for the R, G, B
+channels.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes, make_rgb_axes
+
+
+def get_rgb():
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    Z[Z < 0] = 0.
+    Z = Z / Z.max()
+
+    R = Z[:13, :13]
+    G = Z[2:, 2:]
+    B = Z[:13, 2:]
+
+    return R, G, B
+
+
+def make_cube(r, g, b):
+    ny, nx = r.shape
+    R = np.zeros((ny, nx, 3))
+    R[:, :, 0] = r
+    G = np.zeros_like(R)
+    G[:, :, 1] = g
+    B = np.zeros_like(R)
+    B[:, :, 2] = b
+
+    RGB = R + G + B
+
+    return R, G, B, RGB
+
+
+def demo_rgb1():
+    fig = plt.figure()
+    ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
+    r, g, b = get_rgb()
+    ax.imshow_rgb(r, g, b)
+
+
+def demo_rgb2():
+    fig, ax = plt.subplots()
+    ax_r, ax_g, ax_b = make_rgb_axes(ax, pad=0.02)
+
+    r, g, b = get_rgb()
+    im_r, im_g, im_b, im_rgb = make_cube(r, g, b)
+    ax.imshow(im_rgb)
+    ax_r.imshow(im_r)
+    ax_g.imshow(im_g)
+    ax_b.imshow(im_b)
+
+    for ax in fig.axes:
+        ax.tick_params(direction='in', color='w')
+        ax.spines[:].set_color("w")
+
+
+demo_rgb1()
+demo_rgb2()
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_colorbar_with_axes_divider.py b/galleries/examples/axes_grid1/demo_colorbar_with_axes_divider.py
new file mode 100644
index 000000000000..a04fac2c3ebe
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_colorbar_with_axes_divider.py
@@ -0,0 +1,43 @@
+"""
+.. _demo-colorbar-with-axes-divider:
+
+=========================
+Colorbar with AxesDivider
+=========================
+
+The `.axes_divider.make_axes_locatable` function takes an existing Axes, adds
+it to a new `.AxesDivider` and returns the `.AxesDivider`.  The `.append_axes`
+method of the `.AxesDivider` can then be used to create a new Axes on a given
+side ("top", "right", "bottom", or "left") of the original Axes. This example
+uses `.append_axes` to add colorbars next to Axes.
+
+Users should consider simply passing the main Axes to the *ax* keyword argument of
+`~.Figure.colorbar` instead of creating a locatable Axes manually like this.
+See :ref:`colorbar_placement`.
+
+.. redirect-from:: /gallery/axes_grid1/simple_colorbar
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+fig.subplots_adjust(wspace=0.5)
+
+im1 = ax1.imshow([[1, 2], [3, 4]])
+ax1_divider = make_axes_locatable(ax1)
+# Add an Axes to the right of the main Axes.
+cax1 = ax1_divider.append_axes("right", size="7%", pad="2%")
+cb1 = fig.colorbar(im1, cax=cax1)
+
+im2 = ax2.imshow([[1, 2], [3, 4]])
+ax2_divider = make_axes_locatable(ax2)
+# Add an Axes above the main Axes.
+cax2 = ax2_divider.append_axes("top", size="7%", pad="2%")
+cb2 = fig.colorbar(im2, cax=cax2, orientation="horizontal")
+# Change tick position to top (with the default tick position "bottom", ticks
+# overlap the image).
+cax2.xaxis.set_ticks_position("top")
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_colorbar_with_inset_locator.py b/galleries/examples/axes_grid1/demo_colorbar_with_inset_locator.py
new file mode 100644
index 000000000000..f62a0f58e3bc
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_colorbar_with_inset_locator.py
@@ -0,0 +1,50 @@
+"""
+.. _demo-colorbar-with-inset-locator:
+
+===========================================================
+Control the position and size of a colorbar with Inset Axes
+===========================================================
+
+This example shows how to control the position, height, and width of colorbars
+using `~mpl_toolkits.axes_grid1.inset_locator.inset_axes`.
+
+Inset Axes placement is controlled as for legends: either by providing a *loc*
+option ("upper right", "best", ...), or by providing a locator with respect to
+the parent bbox.  Parameters such as *bbox_to_anchor* and *borderpad* likewise
+work in the same way, and are also demonstrated here.
+
+Users should consider using `.Axes.inset_axes` instead (see
+:ref:`colorbar_placement`).
+
+.. redirect-from:: /gallery/axes_grid1/demo_colorbar_of_inset_axes
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3])
+
+im1 = ax1.imshow([[1, 2], [2, 3]])
+axins1 = inset_axes(
+    ax1,
+    width="50%",  # width: 50% of parent_bbox width
+    height="5%",  # height: 5%
+    loc="upper right",
+)
+axins1.xaxis.set_ticks_position("bottom")
+fig.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
+
+im = ax2.imshow([[1, 2], [2, 3]])
+axins = inset_axes(
+    ax2,
+    width="5%",  # width: 5% of parent_bbox width
+    height="50%",  # height: 50%
+    loc="lower left",
+    bbox_to_anchor=(1.05, 0., 1, 1),
+    bbox_transform=ax2.transAxes,
+    borderpad=0,
+)
+fig.colorbar(im, cax=axins, ticks=[1, 2, 3])
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_edge_colorbar.py b/galleries/examples/axes_grid1/demo_edge_colorbar.py
new file mode 100644
index 000000000000..bde482977991
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_edge_colorbar.py
@@ -0,0 +1,86 @@
+"""
+===============================
+Per-row or per-column colorbars
+===============================
+
+This example shows how to use one common colorbar for each row or column
+of an image grid.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1 import AxesGrid
+
+
+def get_demo_image():
+    z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
+    return z, (-3, 4, -4, 3)
+
+
+def demo_bottom_cbar(fig):
+    """
+    A grid of 2x2 images with a colorbar for each column.
+    """
+    grid = AxesGrid(fig, 121,  # similar to subplot(121)
+                    nrows_ncols=(2, 2),
+                    axes_pad=0.10,
+                    share_all=True,
+                    label_mode="1",
+                    cbar_location="bottom",
+                    cbar_mode="edge",
+                    cbar_pad=0.25,
+                    cbar_size="15%",
+                    direction="column"
+                    )
+
+    Z, extent = get_demo_image()
+    cmaps = ["autumn", "summer"]
+    for i in range(4):
+        im = grid[i].imshow(Z, extent=extent, cmap=cmaps[i//2])
+        if i % 2:
+            grid.cbar_axes[i//2].colorbar(im)
+
+    for cax in grid.cbar_axes:
+        cax.axis[cax.orientation].set_label("Bar")
+
+    # This affects all Axes as share_all = True.
+    grid.axes_llc.set_xticks([-2, 0, 2])
+    grid.axes_llc.set_yticks([-2, 0, 2])
+
+
+def demo_right_cbar(fig):
+    """
+    A grid of 2x2 images. Each row has its own colorbar.
+    """
+    grid = AxesGrid(fig, 122,  # similar to subplot(122)
+                    nrows_ncols=(2, 2),
+                    axes_pad=0.10,
+                    label_mode="1",
+                    share_all=True,
+                    cbar_location="right",
+                    cbar_mode="edge",
+                    cbar_size="7%",
+                    cbar_pad="2%",
+                    )
+    Z, extent = get_demo_image()
+    cmaps = ["spring", "winter"]
+    for i in range(4):
+        im = grid[i].imshow(Z, extent=extent, cmap=cmaps[i//2])
+        if i % 2:
+            grid.cbar_axes[i//2].colorbar(im)
+
+    for cax in grid.cbar_axes:
+        cax.axis[cax.orientation].set_label('Foo')
+
+    # This affects all Axes because we set share_all = True.
+    grid.axes_llc.set_xticks([-2, 0, 2])
+    grid.axes_llc.set_yticks([-2, 0, 2])
+
+
+fig = plt.figure()
+
+demo_bottom_cbar(fig)
+demo_right_cbar(fig)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_fixed_size_axes.py b/galleries/examples/axes_grid1/demo_fixed_size_axes.py
new file mode 100644
index 000000000000..a8f8685a115c
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_fixed_size_axes.py
@@ -0,0 +1,50 @@
+"""
+===============================
+Axes with a fixed physical size
+===============================
+
+Note that this can be accomplished with the main library for
+Axes on Figures that do not change size: :ref:`fixed_size_axes`
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import Divider, Size
+
+# %%
+
+
+fig = plt.figure(figsize=(6, 6))
+
+# The first items are for padding and the second items are for the Axes.
+# sizes are in inch.
+h = [Size.Fixed(1.0), Size.Fixed(4.5)]
+v = [Size.Fixed(0.7), Size.Fixed(5.)]
+
+divider = Divider(fig, (0, 0, 1, 1), h, v, aspect=False)
+# The width and height of the rectangle are ignored.
+
+ax = fig.add_axes(divider.get_position(),
+                  axes_locator=divider.new_locator(nx=1, ny=1))
+
+ax.plot([1, 2, 3])
+
+# %%
+
+
+fig = plt.figure(figsize=(6, 6))
+
+# The first & third items are for padding and the second items are for the
+# Axes. Sizes are in inches.
+h = [Size.Fixed(1.0), Size.Scaled(1.), Size.Fixed(.2)]
+v = [Size.Fixed(0.7), Size.Scaled(1.), Size.Fixed(.5)]
+
+divider = Divider(fig, (0, 0, 1, 1), h, v, aspect=False)
+# The width and height of the rectangle are ignored.
+
+ax = fig.add_axes(divider.get_position(),
+                  axes_locator=divider.new_locator(nx=1, ny=1))
+
+ax.plot([1, 2, 3])
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/demo_imagegrid_aspect.py b/galleries/examples/axes_grid1/demo_imagegrid_aspect.py
new file mode 100644
index 000000000000..55268c41c9b1
--- /dev/null
+++ b/galleries/examples/axes_grid1/demo_imagegrid_aspect.py
@@ -0,0 +1,23 @@
+"""
+=========================================
+ImageGrid cells with a fixed aspect ratio
+=========================================
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+fig = plt.figure()
+
+grid1 = ImageGrid(fig, 121, (2, 2), axes_pad=0.1,
+                  aspect=True, share_all=True)
+for i in [0, 1]:
+    grid1[i].set_aspect(2)
+
+grid2 = ImageGrid(fig, 122, (2, 2), axes_pad=0.1,
+                  aspect=True, share_all=True)
+for i in [1, 3]:
+    grid2[i].set_aspect(2)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/inset_locator_demo.py b/galleries/examples/axes_grid1/inset_locator_demo.py
new file mode 100644
index 000000000000..e4b310ac6c73
--- /dev/null
+++ b/galleries/examples/axes_grid1/inset_locator_demo.py
@@ -0,0 +1,145 @@
+"""
+==================
+Inset locator demo
+==================
+
+"""
+
+# %%
+# The `.inset_locator`'s `~.inset_locator.inset_axes` allows
+# easily placing insets in the corners of the Axes by specifying a width and
+# height and optionally a location (loc) that accepts locations as codes,
+# similar to `~matplotlib.axes.Axes.legend`.
+# By default, the inset is offset by some points from the axes,
+# controlled via the *borderpad* parameter.
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+
+fig, (ax, ax2) = plt.subplots(1, 2, figsize=[5.5, 2.8])
+
+# Create inset of width 1.3 inches and height 0.9 inches
+# at the default upper right location.
+axins = inset_axes(ax, width=1.3, height=0.9)
+
+# Create inset of width 30% and height 40% of the parent Axes' bounding box
+# at the lower left corner.
+axins2 = inset_axes(ax, width="30%", height="40%", loc="lower left")
+
+# Create inset of mixed specifications in the second subplot;
+# width is 30% of parent Axes' bounding box and
+# height is 1 inch at the upper left corner.
+axins3 = inset_axes(ax2, width="30%", height=1., loc="upper left")
+
+# Create an inset in the lower right corner with borderpad=1, i.e.
+# 10 points padding (as 10pt is the default fontsize) to the parent Axes.
+axins4 = inset_axes(ax2, width="20%", height="20%", loc="lower right", borderpad=1)
+
+# Turn ticklabels of insets off
+for axi in [axins, axins2, axins3, axins4]:
+    axi.tick_params(labelleft=False, labelbottom=False)
+
+plt.show()
+
+
+# %%
+# The parameters *bbox_to_anchor* and *bbox_transform* can be used for a more
+# fine-grained control over the inset position and size or even to position
+# the inset at completely arbitrary positions.
+# The *bbox_to_anchor* sets the bounding box in coordinates according to the
+# *bbox_transform*.
+#
+
+fig = plt.figure(figsize=[5.5, 2.8])
+ax = fig.add_subplot(121)
+
+# We use the Axes transform as bbox_transform. Therefore, the bounding box
+# needs to be specified in axes coordinates ((0, 0) is the lower left corner
+# of the Axes, (1, 1) is the upper right corner).
+# The bounding box (.2, .4, .6, .5) starts at (.2, .4) and ranges to (.8, .9)
+# in those coordinates.
+# Inside this bounding box an inset of half the bounding box' width and
+# three quarters of the bounding box' height is created. The lower left corner
+# of the inset is aligned to the lower left corner of the bounding box.
+# The inset is then offset by the default 0.5 in units of the font size.
+
+axins = inset_axes(ax, width="50%", height="75%",
+                   bbox_to_anchor=(.2, .4, .6, .5),
+                   bbox_transform=ax.transAxes, loc="lower left")
+
+# For visualization purposes we mark the bounding box by a rectangle
+ax.add_patch(plt.Rectangle((.2, .4), .6, .5, ls="--", ec="c", fc="none",
+                           transform=ax.transAxes))
+
+# We set the axis limits to something other than the default, in order to not
+# distract from the fact that axes coordinates are used here.
+ax.set(xlim=(0, 10), ylim=(0, 10))
+
+
+# Note how the two following insets are created at the same positions, one by
+# use of the default parent Axes' bbox and the other via a bbox in Axes
+# coordinates and the respective transform.
+ax2 = fig.add_subplot(222)
+axins2 = inset_axes(ax2, width="30%", height="50%")
+
+ax3 = fig.add_subplot(224)
+axins3 = inset_axes(ax3, width="100%", height="100%",
+                    bbox_to_anchor=(.7, .5, .3, .5),
+                    bbox_transform=ax3.transAxes)
+
+# For visualization purposes we mark the bounding box by a rectangle
+ax2.add_patch(plt.Rectangle((0, 0), 1, 1, ls="--", lw=2, ec="c", fc="none"))
+ax3.add_patch(plt.Rectangle((.7, .5), .3, .5, ls="--", lw=2,
+                            ec="c", fc="none"))
+
+# Turn ticklabels off
+for axi in [axins2, axins3, ax2, ax3]:
+    axi.tick_params(labelleft=False, labelbottom=False)
+
+plt.show()
+
+
+# %%
+# In the above the Axes transform together with 4-tuple bounding boxes has been
+# used as it mostly is useful to specify an inset relative to the Axes it is
+# an inset to. However, other use cases are equally possible. The following
+# example examines some of those.
+#
+
+fig = plt.figure(figsize=[5.5, 2.8])
+ax = fig.add_subplot(131)
+
+# Create an inset outside the Axes
+axins = inset_axes(ax, width="100%", height="100%",
+                   bbox_to_anchor=(1.05, .6, .5, .4),
+                   bbox_transform=ax.transAxes, loc="upper left", borderpad=0)
+axins.tick_params(left=False, right=True, labelleft=False, labelright=True)
+
+# Create an inset with a 2-tuple bounding box. Note that this creates a
+# bbox without extent. This hence only makes sense when specifying
+# width and height in absolute units (inches).
+axins2 = inset_axes(ax, width=0.5, height=0.4,
+                    bbox_to_anchor=(0.33, 0.25),
+                    bbox_transform=ax.transAxes, loc="lower left", borderpad=0)
+
+
+ax2 = fig.add_subplot(133)
+ax2.set_xscale("log")
+ax2.set(xlim=(1e-6, 1e6), ylim=(-2, 6))
+
+# Create inset in data coordinates using ax.transData as transform
+axins3 = inset_axes(ax2, width="100%", height="100%",
+                    bbox_to_anchor=(1e-2, 2, 1e3, 3),
+                    bbox_transform=ax2.transData, loc="upper left", borderpad=0)
+
+# Create an inset horizontally centered in figure coordinates and vertically
+# bound to line up with the Axes.
+from matplotlib.transforms import blended_transform_factory  # noqa
+
+transform = blended_transform_factory(fig.transFigure, ax2.transAxes)
+axins4 = inset_axes(ax2, width="16%", height="34%",
+                    bbox_to_anchor=(0, 0, 1, 1),
+                    bbox_transform=transform, loc="lower center", borderpad=0)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/inset_locator_demo2.py b/galleries/examples/axes_grid1/inset_locator_demo2.py
new file mode 100644
index 000000000000..1bbbdd39b886
--- /dev/null
+++ b/galleries/examples/axes_grid1/inset_locator_demo2.py
@@ -0,0 +1,73 @@
+"""
+====================
+Inset locator demo 2
+====================
+
+This demo shows how to create a zoomed inset via `.zoomed_inset_axes`.
+In the first subplot an `.AnchoredSizeBar` shows the zoom effect.
+In the second subplot a connection to the region of interest is
+created via `.mark_inset`.
+
+A version of the second subplot, not using the toolkit, is available in
+:doc:`/gallery/subplots_axes_and_figures/zoom_inset_axes`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
+from mpl_toolkits.axes_grid1.inset_locator import mark_inset, zoomed_inset_axes
+
+fig, (ax, ax2) = plt.subplots(ncols=2, figsize=[6, 3])
+
+
+# First subplot, showing an inset with a size bar.
+ax.set_aspect(1)
+
+axins = zoomed_inset_axes(ax, zoom=0.5, loc='upper right')
+# fix the number of ticks on the inset Axes
+axins.yaxis.get_major_locator().set_params(nbins=7)
+axins.xaxis.get_major_locator().set_params(nbins=7)
+axins.tick_params(labelleft=False, labelbottom=False)
+
+
+def add_sizebar(ax, size):
+    asb = AnchoredSizeBar(ax.transData,
+                          size,
+                          str(size),
+                          loc="lower center",
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+add_sizebar(ax, 0.5)
+add_sizebar(axins, 0.5)
+
+
+# Second subplot, showing an image with an inset zoom and a marked inset
+Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
+extent = (-3, 4, -4, 3)
+Z2 = np.zeros((150, 150))
+ny, nx = Z.shape
+Z2[30:30+ny, 30:30+nx] = Z
+
+ax2.imshow(Z2, extent=extent, origin="lower")
+
+axins2 = zoomed_inset_axes(ax2, zoom=6, loc="upper right")
+axins2.imshow(Z2, extent=extent, origin="lower")
+
+# subregion of the original image
+x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
+axins2.set_xlim(x1, x2)
+axins2.set_ylim(y1, y2)
+# fix the number of ticks on the inset Axes
+axins2.yaxis.get_major_locator().set_params(nbins=7)
+axins2.xaxis.get_major_locator().set_params(nbins=7)
+axins2.tick_params(labelleft=False, labelbottom=False)
+
+# draw a bbox of the region of the inset Axes in the parent Axes and
+# connecting lines between the bbox and the inset Axes area
+mark_inset(ax2, axins2, loc1=2, loc2=4, fc="none", ec="0.5")
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/make_room_for_ylabel_using_axesgrid.py b/galleries/examples/axes_grid1/make_room_for_ylabel_using_axesgrid.py
new file mode 100644
index 000000000000..f130ef4a6de2
--- /dev/null
+++ b/galleries/examples/axes_grid1/make_room_for_ylabel_using_axesgrid.py
@@ -0,0 +1,55 @@
+"""
+====================================
+Make room for ylabel using axes_grid
+====================================
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import make_axes_locatable
+from mpl_toolkits.axes_grid1.axes_divider import make_axes_area_auto_adjustable
+
+fig = plt.figure()
+ax = fig.add_axes([0, 0, 1, 1])
+
+ax.set_yticks([0.5], labels=["very long label"])
+
+make_axes_area_auto_adjustable(ax)
+
+# %%
+
+fig = plt.figure()
+ax1 = fig.add_axes([0, 0, 1, 0.5])
+ax2 = fig.add_axes([0, 0.5, 1, 0.5])
+
+ax1.set_yticks([0.5], labels=["very long label"])
+ax1.set_ylabel("Y label")
+
+ax2.set_title("Title")
+
+make_axes_area_auto_adjustable(ax1, pad=0.1, use_axes=[ax1, ax2])
+make_axes_area_auto_adjustable(ax2, pad=0.1, use_axes=[ax1, ax2])
+
+# %%
+
+fig = plt.figure()
+ax1 = fig.add_axes([0, 0, 1, 1])
+divider = make_axes_locatable(ax1)
+
+ax2 = divider.append_axes("right", "100%", pad=0.3, sharey=ax1)
+ax2.tick_params(labelleft=False)
+fig.add_axes(ax2)
+
+divider.add_auto_adjustable_area(use_axes=[ax1], pad=0.1,
+                                 adjust_dirs=["left"])
+divider.add_auto_adjustable_area(use_axes=[ax2], pad=0.1,
+                                 adjust_dirs=["right"])
+divider.add_auto_adjustable_area(use_axes=[ax1, ax2], pad=0.1,
+                                 adjust_dirs=["top", "bottom"])
+
+ax1.set_yticks([0.5], labels=["very long label"])
+
+ax2.set_title("Title")
+ax2.set_xlabel("X - Label")
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/parasite_simple.py b/galleries/examples/axes_grid1/parasite_simple.py
new file mode 100644
index 000000000000..a0c4d68051a9
--- /dev/null
+++ b/galleries/examples/axes_grid1/parasite_simple.py
@@ -0,0 +1,26 @@
+"""
+===============
+Parasite Simple
+===============
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import host_subplot
+
+host = host_subplot(111)
+par = host.twinx()
+
+host.set_xlabel("Distance")
+host.set_ylabel("Density")
+par.set_ylabel("Temperature")
+
+p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
+p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")
+
+host.legend(labelcolor="linecolor")
+
+host.yaxis.label.set_color(p1.get_color())
+par.yaxis.label.set_color(p2.get_color())
+
+plt.show()
diff --git a/examples/axes_grid/parasite_simple2.py b/galleries/examples/axes_grid1/parasite_simple2.py
similarity index 81%
rename from examples/axes_grid/parasite_simple2.py
rename to galleries/examples/axes_grid1/parasite_simple2.py
index 643a722cd7a1..3f587e08e9c4 100644
--- a/examples/axes_grid/parasite_simple2.py
+++ b/galleries/examples/axes_grid1/parasite_simple2.py
@@ -1,6 +1,13 @@
-import matplotlib.transforms as mtransforms
+"""
+================
+Parasite Simple2
+================
+
+"""
 import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost
+
+import matplotlib.transforms as mtransforms
+from mpl_toolkits.axes_grid1.parasite_axes import HostAxes
 
 obs = [["01_S1", 3.88, 0.14, 1970, 63],
        ["01_S4", 5.6, 0.82, 1622, 150],
@@ -10,16 +17,13 @@
 
 fig = plt.figure()
 
-ax_kms = SubplotHost(fig, 1, 1, 1, aspect=1.)
+ax_kms = fig.add_subplot(axes_class=HostAxes, aspect=1)
 
 # angular proper motion("/yr) to linear velocity(km/s) at distance=2.3kpc
 pm_to_kms = 1./206265.*2300*3.085e18/3.15e7/1.e5
 
 aux_trans = mtransforms.Affine2D().scale(pm_to_kms, 1.)
 ax_pm = ax_kms.twin(aux_trans)
-ax_pm.set_viewlim_mode("transform")
-
-fig.add_subplot(ax_kms)
 
 for n, ds, dse, w, we in obs:
     time = ((2007 + (10. + 4/30.)/12) - 1988.5)
@@ -30,7 +34,7 @@
 
 ax_kms.axis["bottom"].set_label("Linear velocity at 2.3 kpc [km/s]")
 ax_kms.axis["left"].set_label("FWHM [km/s]")
-ax_pm.axis["top"].set_label("Proper Motion [$^{''}$/yr]")
+ax_pm.axis["top"].set_label(r"Proper Motion [$''$/yr]")
 ax_pm.axis["top"].label.set_visible(True)
 ax_pm.axis["right"].major_ticklabels.set_visible(False)
 
@@ -38,5 +42,4 @@
 ax_kms.set_ylim(950, 3100)
 # xlim and ylim of ax_pms will be automatically adjusted.
 
-plt.draw()
 plt.show()
diff --git a/galleries/examples/axes_grid1/scatter_hist_locatable_axes.py b/galleries/examples/axes_grid1/scatter_hist_locatable_axes.py
new file mode 100644
index 000000000000..3f9bc4305b3f
--- /dev/null
+++ b/galleries/examples/axes_grid1/scatter_hist_locatable_axes.py
@@ -0,0 +1,77 @@
+"""
+====================================================
+Align histogram to scatter plot using locatable Axes
+====================================================
+
+Show the marginal distributions of a scatter plot as histograms at the sides of
+the plot.
+
+For a nice alignment of the main Axes with the marginals, the Axes positions
+are defined by a ``Divider``, produced via `.make_axes_locatable`.  Note that
+the ``Divider`` API allows setting Axes sizes and pads in inches, which is its
+main feature.
+
+If one wants to set Axes sizes and pads relative to the main Figure, see the
+:doc:`/gallery/lines_bars_and_markers/scatter_hist` example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# the random data
+x = np.random.randn(1000)
+y = np.random.randn(1000)
+
+
+fig, ax = plt.subplots(figsize=(5.5, 5.5))
+
+# the scatter plot:
+ax.scatter(x, y)
+
+# Set aspect of the main Axes.
+ax.set_aspect(1.)
+
+# create new Axes on the right and on the top of the current Axes
+divider = make_axes_locatable(ax)
+# below height and pad are in inches
+ax_histx = divider.append_axes("top", 1.2, pad=0.1, sharex=ax)
+ax_histy = divider.append_axes("right", 1.2, pad=0.1, sharey=ax)
+
+# make some labels invisible
+ax_histx.xaxis.set_tick_params(labelbottom=False)
+ax_histy.yaxis.set_tick_params(labelleft=False)
+
+# now determine nice limits by hand:
+binwidth = 0.25
+xymax = max(np.max(np.abs(x)), np.max(np.abs(y)))
+lim = (int(xymax/binwidth) + 1)*binwidth
+
+bins = np.arange(-lim, lim + binwidth, binwidth)
+ax_histx.hist(x, bins=bins)
+ax_histy.hist(y, bins=bins, orientation='horizontal')
+
+# the xaxis of ax_histx and yaxis of ax_histy are shared with ax,
+# thus there is no need to manually adjust the xlim and ylim of these
+# axis.
+
+ax_histx.set_yticks([0, 50, 100])
+ax_histy.set_xticks([0, 50, 100])
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable`
+#    - `matplotlib.axes.Axes.set_aspect`
+#    - `matplotlib.axes.Axes.scatter`
+#    - `matplotlib.axes.Axes.hist`
diff --git a/galleries/examples/axes_grid1/simple_anchored_artists.py b/galleries/examples/axes_grid1/simple_anchored_artists.py
new file mode 100644
index 000000000000..848c48c16c49
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_anchored_artists.py
@@ -0,0 +1,71 @@
+"""
+=======================
+Simple Anchored Artists
+=======================
+
+This example illustrates the use of the anchored helper classes found in
+:mod:`matplotlib.offsetbox` and in :mod:`mpl_toolkits.axes_grid1`.
+An implementation of a similar figure, but without use of the toolkit,
+can be found in :doc:`/gallery/misc/anchored_artists`.
+"""
+
+import matplotlib.pyplot as plt
+
+
+def draw_text(ax):
+    """
+    Draw two text-boxes, anchored by different corners to the upper-left
+    corner of the figure.
+    """
+    from matplotlib.offsetbox import AnchoredText
+    at = AnchoredText("Figure 1a",
+                      loc='upper left', prop=dict(size=8), frameon=True,
+                      )
+    at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
+    ax.add_artist(at)
+
+    at2 = AnchoredText("Figure 1(b)",
+                       loc='lower left', prop=dict(size=8), frameon=True,
+                       bbox_to_anchor=(0., 1.),
+                       bbox_transform=ax.transAxes
+                       )
+    at2.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
+    ax.add_artist(at2)
+
+
+def draw_circle(ax):
+    """
+    Draw a circle in axis coordinates
+    """
+    from matplotlib.patches import Circle
+    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDrawingArea
+    ada = AnchoredDrawingArea(20, 20, 0, 0,
+                              loc='upper right', pad=0., frameon=False)
+    p = Circle((10, 10), 10)
+    ada.da.add_artist(p)
+    ax.add_artist(ada)
+
+
+def draw_sizebar(ax):
+    """
+    Draw a horizontal bar with length of 0.1 in data coordinates,
+    with a fixed label underneath.
+    """
+    from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
+    asb = AnchoredSizeBar(ax.transData,
+                          0.1,
+                          r"1$^{\prime}$",
+                          loc='lower center',
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+
+fig, ax = plt.subplots()
+ax.set_aspect(1.)
+
+draw_text(ax)
+draw_circle(ax)
+draw_sizebar(ax)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/simple_axes_divider1.py b/galleries/examples/axes_grid1/simple_axes_divider1.py
new file mode 100644
index 000000000000..414672dc3596
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_axes_divider1.py
@@ -0,0 +1,69 @@
+"""
+=====================
+Simple Axes Divider 1
+=====================
+
+See also :ref:`axes_grid`.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import Divider, Size
+
+
+def label_axes(ax, text):
+    """Place a label at the center of an Axes, and remove the axis ticks."""
+    ax.text(.5, .5, text, transform=ax.transAxes,
+            horizontalalignment="center", verticalalignment="center")
+    ax.tick_params(bottom=False, labelbottom=False,
+                   left=False, labelleft=False)
+
+
+# %%
+# Fixed Axes sizes; fixed paddings.
+
+fig = plt.figure(figsize=(6, 6))
+fig.suptitle("Fixed axes sizes, fixed paddings")
+
+# Sizes are in inches.
+horiz = [Size.Fixed(1.), Size.Fixed(.5), Size.Fixed(1.5), Size.Fixed(.5)]
+vert = [Size.Fixed(1.5), Size.Fixed(.5), Size.Fixed(1.)]
+
+rect = (0.1, 0.1, 0.8, 0.8)
+# Divide the Axes rectangle into a grid with sizes specified by horiz * vert.
+div = Divider(fig, rect, horiz, vert, aspect=False)
+
+# The rect parameter will actually be ignored and overridden by axes_locator.
+ax1 = fig.add_axes(rect, axes_locator=div.new_locator(nx=0, ny=0))
+label_axes(ax1, "nx=0, ny=0")
+ax2 = fig.add_axes(rect, axes_locator=div.new_locator(nx=0, ny=2))
+label_axes(ax2, "nx=0, ny=2")
+ax3 = fig.add_axes(rect, axes_locator=div.new_locator(nx=2, ny=2))
+label_axes(ax3, "nx=2, ny=2")
+ax4 = fig.add_axes(rect, axes_locator=div.new_locator(nx=2, nx1=4, ny=0))
+label_axes(ax4, "nx=2, nx1=4, ny=0")
+
+# %%
+# Axes sizes that scale with the figure size; fixed paddings.
+
+fig = plt.figure(figsize=(6, 6))
+fig.suptitle("Scalable axes sizes, fixed paddings")
+
+horiz = [Size.Scaled(1.5), Size.Fixed(.5), Size.Scaled(1.), Size.Scaled(.5)]
+vert = [Size.Scaled(1.), Size.Fixed(.5), Size.Scaled(1.5)]
+
+rect = (0.1, 0.1, 0.8, 0.8)
+# Divide the Axes rectangle into a grid with sizes specified by horiz * vert.
+div = Divider(fig, rect, horiz, vert, aspect=False)
+
+# The rect parameter will actually be ignored and overridden by axes_locator.
+ax1 = fig.add_axes(rect, axes_locator=div.new_locator(nx=0, ny=0))
+label_axes(ax1, "nx=0, ny=0")
+ax2 = fig.add_axes(rect, axes_locator=div.new_locator(nx=0, ny=2))
+label_axes(ax2, "nx=0, ny=2")
+ax3 = fig.add_axes(rect, axes_locator=div.new_locator(nx=2, ny=2))
+label_axes(ax3, "nx=2, ny=2")
+ax4 = fig.add_axes(rect, axes_locator=div.new_locator(nx=2, nx1=4, ny=0))
+label_axes(ax4, "nx=2, nx1=4, ny=0")
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/simple_axes_divider3.py b/galleries/examples/axes_grid1/simple_axes_divider3.py
new file mode 100644
index 000000000000..e2f195bcb753
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_axes_divider3.py
@@ -0,0 +1,44 @@
+"""
+=====================
+Simple axes divider 3
+=====================
+
+See also :ref:`axes_grid`.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axes_grid1 import Divider
+import mpl_toolkits.axes_grid1.axes_size as Size
+
+fig = plt.figure(figsize=(5.5, 4))
+
+# the rect parameter will be ignored as we will set axes_locator
+rect = (0.1, 0.1, 0.8, 0.8)
+ax = [fig.add_axes(rect, label="%d" % i) for i in range(4)]
+
+
+horiz = [Size.AxesX(ax[0]), Size.Fixed(.5), Size.AxesX(ax[1])]
+vert = [Size.AxesY(ax[0]), Size.Fixed(.5), Size.AxesY(ax[2])]
+
+# divide the Axes rectangle into grid whose size is specified by horiz * vert
+divider = Divider(fig, rect, horiz, vert, aspect=False)
+
+
+ax[0].set_axes_locator(divider.new_locator(nx=0, ny=0))
+ax[1].set_axes_locator(divider.new_locator(nx=2, ny=0))
+ax[2].set_axes_locator(divider.new_locator(nx=0, ny=2))
+ax[3].set_axes_locator(divider.new_locator(nx=2, ny=2))
+
+ax[0].set_xlim(0, 2)
+ax[1].set_xlim(0, 1)
+
+ax[0].set_ylim(0, 1)
+ax[2].set_ylim(0, 2)
+
+divider.set_aspect(1.)
+
+for ax1 in ax:
+    ax1.tick_params(labelbottom=False, labelleft=False)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/simple_axesgrid.py b/galleries/examples/axes_grid1/simple_axesgrid.py
new file mode 100644
index 000000000000..bc9ffce692f8
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_axesgrid.py
@@ -0,0 +1,29 @@
+"""
+================
+Simple ImageGrid
+================
+
+Align multiple images using `~mpl_toolkits.axes_grid1.axes_grid.ImageGrid`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+im1 = np.arange(100).reshape((10, 10))
+im2 = im1.T
+im3 = np.flipud(im1)
+im4 = np.fliplr(im2)
+
+fig = plt.figure(figsize=(4., 4.))
+grid = ImageGrid(fig, 111,  # similar to subplot(111)
+                 nrows_ncols=(2, 2),  # creates 2x2 grid of Axes
+                 axes_pad=0.1,  # pad between Axes in inch.
+                 )
+
+for ax, im in zip(grid, [im1, im2, im3, im4]):
+    # Iterating over the grid returns the Axes.
+    ax.imshow(im)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/simple_axesgrid2.py b/galleries/examples/axes_grid1/simple_axesgrid2.py
new file mode 100644
index 000000000000..1c9c524da43c
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_axesgrid2.py
@@ -0,0 +1,31 @@
+"""
+==================
+Simple ImageGrid 2
+==================
+
+Align multiple images of different sizes using
+`~mpl_toolkits.axes_grid1.axes_grid.ImageGrid`.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib import cbook
+from mpl_toolkits.axes_grid1 import ImageGrid
+
+fig = plt.figure(figsize=(5.5, 3.5))
+grid = ImageGrid(fig, 111,  # similar to subplot(111)
+                 nrows_ncols=(1, 3),
+                 axes_pad=0.1,
+                 label_mode="L",
+                 )
+
+# demo image
+Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+im1 = Z
+im2 = Z[:, :10]
+im3 = Z[:, 10:]
+vmin, vmax = Z.min(), Z.max()
+for ax, im in zip(grid, [im1, im2, im3]):
+    ax.imshow(im, origin="lower", vmin=vmin, vmax=vmax)
+
+plt.show()
diff --git a/galleries/examples/axes_grid1/simple_axisline4.py b/galleries/examples/axes_grid1/simple_axisline4.py
new file mode 100644
index 000000000000..bbe6ef1c7970
--- /dev/null
+++ b/galleries/examples/axes_grid1/simple_axisline4.py
@@ -0,0 +1,24 @@
+"""
+================
+Simple Axisline4
+================
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axes_grid1 import host_subplot
+
+ax = host_subplot(111)
+xx = np.arange(0, 2*np.pi, 0.01)
+ax.plot(xx, np.sin(xx))
+
+ax2 = ax.twin()  # ax2 is responsible for "top" axis and "right" axis
+ax2.set_xticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi],
+               labels=["$0$", r"$\frac{1}{2}\pi$",
+                       r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
+
+ax2.axis["right"].major_ticklabels.set_visible(False)
+ax2.axis["top"].major_ticklabels.set_visible(True)
+
+plt.show()
diff --git a/galleries/examples/axisartist/README.txt b/galleries/examples/axisartist/README.txt
new file mode 100644
index 000000000000..c2d1716f8b52
--- /dev/null
+++ b/galleries/examples/axisartist/README.txt
@@ -0,0 +1,6 @@
+.. _axis_artist_examples:
+
+.. _axisartist-examples-index:
+
+Module - axisartist
+===================
diff --git a/galleries/examples/axisartist/axis_direction.py b/galleries/examples/axisartist/axis_direction.py
new file mode 100644
index 000000000000..fbbbc5b93ce4
--- /dev/null
+++ b/galleries/examples/axisartist/axis_direction.py
@@ -0,0 +1,68 @@
+"""
+==============
+Axis Direction
+==============
+"""
+
+import matplotlib.pyplot as plt
+
+import mpl_toolkits.axisartist as axisartist
+
+
+def setup_axes(fig, pos):
+    ax = fig.add_subplot(pos, axes_class=axisartist.Axes)
+
+    ax.set_ylim(-0.1, 1.5)
+    ax.set_yticks([0, 1])
+
+    ax.axis[:].set_visible(False)
+
+    ax.axis["x"] = ax.new_floating_axis(1, 0.5)
+    ax.axis["x"].set_axisline_style("->", size=1.5)
+
+    return ax
+
+
+plt.rcParams.update({
+    "axes.titlesize": "medium",
+    "axes.titley": 1.1,
+})
+
+fig = plt.figure(figsize=(10, 4))
+fig.subplots_adjust(bottom=0.1, top=0.9, left=0.05, right=0.95)
+
+ax1 = setup_axes(fig, 251)
+ax1.axis["x"].set_axis_direction("left")
+
+ax2 = setup_axes(fig, 252)
+ax2.axis["x"].label.set_text("Label")
+ax2.axis["x"].toggle(ticklabels=False)
+ax2.axis["x"].set_axislabel_direction("+")
+ax2.set_title("label direction=$+$")
+
+ax3 = setup_axes(fig, 253)
+ax3.axis["x"].label.set_text("Label")
+ax3.axis["x"].toggle(ticklabels=False)
+ax3.axis["x"].set_axislabel_direction("-")
+ax3.set_title("label direction=$-$")
+
+ax4 = setup_axes(fig, 254)
+ax4.axis["x"].set_ticklabel_direction("+")
+ax4.set_title("ticklabel direction=$+$")
+
+ax5 = setup_axes(fig, 255)
+ax5.axis["x"].set_ticklabel_direction("-")
+ax5.set_title("ticklabel direction=$-$")
+
+ax7 = setup_axes(fig, 257)
+ax7.axis["x"].label.set_text("rotation=10")
+ax7.axis["x"].label.set_rotation(10)
+ax7.axis["x"].toggle(ticklabels=False)
+
+ax8 = setup_axes(fig, 258)
+ax8.axis["x"].set_axislabel_direction("-")
+ax8.axis["x"].label.set_text("rotation=10")
+ax8.axis["x"].label.set_rotation(10)
+ax8.axis["x"].toggle(ticklabels=False)
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_axis_direction.py b/galleries/examples/axisartist/demo_axis_direction.py
new file mode 100644
index 000000000000..9540599c6a7b
--- /dev/null
+++ b/galleries/examples/axisartist/demo_axis_direction.py
@@ -0,0 +1,72 @@
+"""
+===================
+axis_direction demo
+===================
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.projections import PolarAxes
+from matplotlib.transforms import Affine2D
+import mpl_toolkits.axisartist as axisartist
+import mpl_toolkits.axisartist.angle_helper as angle_helper
+import mpl_toolkits.axisartist.grid_finder as grid_finder
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+def setup_axes(fig, rect):
+    """Polar projection, but in a rectangular box."""
+    # see demo_curvelinear_grid.py for details
+    grid_helper = GridHelperCurveLinear(
+        (
+            Affine2D().scale(np.pi/180., 1.) +
+            PolarAxes.PolarTransform()
+        ),
+        extreme_finder=angle_helper.ExtremeFinderCycle(
+            20, 20,
+            lon_cycle=360, lat_cycle=None,
+            lon_minmax=None, lat_minmax=(0, np.inf),
+        ),
+        grid_locator1=angle_helper.LocatorDMS(12),
+        grid_locator2=grid_finder.MaxNLocator(5),
+        tick_formatter1=angle_helper.FormatterDMS(),
+    )
+    ax = fig.add_subplot(
+        rect, axes_class=axisartist.Axes, grid_helper=grid_helper,
+        aspect=1, xlim=(-5, 12), ylim=(-5, 10))
+    ax.axis[:].toggle(ticklabels=False)
+    ax.grid(color=".9")
+    return ax
+
+
+def add_floating_axis1(ax):
+    ax.axis["lat"] = axis = ax.new_floating_axis(0, 30)
+    axis.label.set_text(r"$\theta = 30^{\circ}$")
+    axis.label.set_visible(True)
+    return axis
+
+
+def add_floating_axis2(ax):
+    ax.axis["lon"] = axis = ax.new_floating_axis(1, 6)
+    axis.label.set_text(r"$r = 6$")
+    axis.label.set_visible(True)
+    return axis
+
+
+fig = plt.figure(figsize=(8, 4), layout="constrained")
+
+for i, d in enumerate(["bottom", "left", "top", "right"]):
+    ax = setup_axes(fig, rect=241+i)
+    axis = add_floating_axis1(ax)
+    axis.set_axis_direction(d)
+    ax.set(title=d)
+
+for i, d in enumerate(["bottom", "left", "top", "right"]):
+    ax = setup_axes(fig, rect=245+i)
+    axis = add_floating_axis2(ax)
+    axis.set_axis_direction(d)
+    ax.set(title=d)
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_axisline_style.py b/galleries/examples/axisartist/demo_axisline_style.py
new file mode 100644
index 000000000000..3fd1d4d8b767
--- /dev/null
+++ b/galleries/examples/axisartist/demo_axisline_style.py
@@ -0,0 +1,36 @@
+"""
+================
+Axis line styles
+================
+
+This example shows some configurations for axis style.
+
+Note: The `mpl_toolkits.axisartist` Axes classes may be confusing for new
+users. If the only aim is to obtain arrow heads at the ends of the axes,
+rather check out the :doc:`/gallery/spines/centered_spines_with_arrows`
+example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axisartist.axislines import AxesZero
+
+fig = plt.figure()
+ax = fig.add_subplot(axes_class=AxesZero)
+
+for direction in ["xzero", "yzero"]:
+    # adds arrows at the ends of each axis
+    ax.axis[direction].set_axisline_style("-|>")
+
+    # adds X and Y-axis from the origin
+    ax.axis[direction].set_visible(True)
+
+for direction in ["left", "right", "bottom", "top"]:
+    # hides borders
+    ax.axis[direction].set_visible(False)
+
+x = np.linspace(-0.5, 1., 100)
+ax.plot(x, np.sin(x*np.pi))
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_curvelinear_grid.py b/galleries/examples/axisartist/demo_curvelinear_grid.py
new file mode 100644
index 000000000000..fb1fbdd011ce
--- /dev/null
+++ b/galleries/examples/axisartist/demo_curvelinear_grid.py
@@ -0,0 +1,111 @@
+"""
+=====================
+Curvilinear grid demo
+=====================
+
+Custom grid and ticklines.
+
+This example demonstrates how to use
+`~.grid_helper_curvelinear.GridHelperCurveLinear` to define custom grids and
+ticklines by applying a transformation on the grid.  This can be used, as
+shown on the second plot, to create polar projections in a rectangular box.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.projections import PolarAxes
+from matplotlib.transforms import Affine2D
+from mpl_toolkits.axisartist import Axes, HostAxes, angle_helper
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+def curvelinear_test1(fig):
+    """
+    Grid for custom transform.
+    """
+
+    def tr(x, y): return x, y - x
+    def inv_tr(x, y): return x, y + x
+
+    grid_helper = GridHelperCurveLinear((tr, inv_tr))
+
+    ax1 = fig.add_subplot(1, 2, 1, axes_class=Axes, grid_helper=grid_helper)
+    # ax1 will have ticks and gridlines defined by the given transform (+
+    # transData of the Axes).  Note that the transform of the Axes itself
+    # (i.e., transData) is not affected by the given transform.
+    xx, yy = tr(np.array([3, 6]), np.array([5, 10]))
+    ax1.plot(xx, yy)
+
+    ax1.set_aspect(1)
+    ax1.set_xlim(0, 10)
+    ax1.set_ylim(0, 10)
+
+    ax1.axis["t"] = ax1.new_floating_axis(0, 3)
+    ax1.axis["t2"] = ax1.new_floating_axis(1, 7)
+    ax1.grid(True, zorder=0)
+
+
+def curvelinear_test2(fig):
+    """
+    Polar projection, but in a rectangular box.
+    """
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = Affine2D().scale(np.pi/180, 1) + PolarAxes.PolarTransform()
+    # Polar projection, which involves cycle, and also has limits in
+    # its coordinates, needs a special method to find the extremes
+    # (min, max of the coordinate within the view).
+    extreme_finder = angle_helper.ExtremeFinderCycle(
+        nx=20, ny=20,  # Number of sampling points in each direction.
+        lon_cycle=360, lat_cycle=None,
+        lon_minmax=None, lat_minmax=(0, np.inf),
+    )
+    # Find grid values appropriate for the coordinate (degree, minute, second).
+    grid_locator1 = angle_helper.LocatorDMS(12)
+    # Use an appropriate formatter.  Note that the acceptable Locator and
+    # Formatter classes are a bit different than that of Matplotlib, which
+    # cannot directly be used here (this may be possible in the future).
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(
+        tr, extreme_finder=extreme_finder,
+        grid_locator1=grid_locator1, tick_formatter1=tick_formatter1)
+    ax1 = fig.add_subplot(
+        1, 2, 2, axes_class=HostAxes, grid_helper=grid_helper)
+
+    # make ticklabels of right and top axis visible.
+    ax1.axis["right"].major_ticklabels.set_visible(True)
+    ax1.axis["top"].major_ticklabels.set_visible(True)
+    # let right axis shows ticklabels for 1st coordinate (angle)
+    ax1.axis["right"].get_helper().nth_coord_ticks = 0
+    # let bottom axis shows ticklabels for 2nd coordinate (radius)
+    ax1.axis["bottom"].get_helper().nth_coord_ticks = 1
+
+    ax1.set_aspect(1)
+    ax1.set_xlim(-5, 12)
+    ax1.set_ylim(-5, 10)
+
+    ax1.grid(True, zorder=0)
+
+    # A parasite Axes with given transform
+    ax2 = ax1.get_aux_axes(tr)
+    # note that ax2.transData == tr + ax1.transData
+    # Anything you draw in ax2 will match the ticks and grids of ax1.
+    ax2.plot(np.linspace(0, 30, 51), np.linspace(10, 10, 51), linewidth=2)
+
+    ax2.pcolor(np.linspace(0, 90, 4), np.linspace(0, 10, 4),
+               np.arange(9).reshape((3, 3)))
+    ax2.contour(np.linspace(0, 90, 4), np.linspace(0, 10, 4),
+                np.arange(16).reshape((4, 4)), colors="k")
+
+
+if __name__ == "__main__":
+    fig = plt.figure(figsize=(7, 4))
+
+    curvelinear_test1(fig)
+    curvelinear_test2(fig)
+
+    plt.show()
diff --git a/galleries/examples/axisartist/demo_curvelinear_grid2.py b/galleries/examples/axisartist/demo_curvelinear_grid2.py
new file mode 100644
index 000000000000..d4ac36cc717b
--- /dev/null
+++ b/galleries/examples/axisartist/demo_curvelinear_grid2.py
@@ -0,0 +1,50 @@
+"""
+======================
+Demo CurveLinear Grid2
+======================
+
+Custom grid and ticklines.
+
+This example demonstrates how to use GridHelperCurveLinear to define
+custom grids and ticklines by applying a transformation on the grid.
+As showcase on the plot, a 5x5 matrix is displayed on the Axes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.axisartist.axislines import Axes
+from mpl_toolkits.axisartist.grid_finder import (ExtremeFinderSimple,
+                                                 MaxNLocator)
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+def curvelinear_test1(fig):
+    """Grid for custom transform."""
+
+    def tr(x, y):
+        return np.sign(x)*abs(x)**.5, y
+
+    def inv_tr(x, y):
+        return np.sign(x)*x**2, y
+
+    grid_helper = GridHelperCurveLinear(
+        (tr, inv_tr),
+        extreme_finder=ExtremeFinderSimple(20, 20),
+        # better tick density
+        grid_locator1=MaxNLocator(nbins=6), grid_locator2=MaxNLocator(nbins=6))
+
+    ax1 = fig.add_subplot(axes_class=Axes, grid_helper=grid_helper)
+    # ax1 will have a ticks and gridlines defined by the given
+    # transform (+ transData of the Axes). Note that the transform of the Axes
+    # itself (i.e., transData) is not affected by the given transform.
+
+    ax1.imshow(np.arange(25).reshape(5, 5),
+               vmax=50, cmap="gray_r", origin="lower")
+
+
+if __name__ == "__main__":
+    fig = plt.figure(figsize=(7, 4))
+    curvelinear_test1(fig)
+    plt.show()
diff --git a/galleries/examples/axisartist/demo_floating_axes.py b/galleries/examples/axisartist/demo_floating_axes.py
new file mode 100644
index 000000000000..add03e266d3e
--- /dev/null
+++ b/galleries/examples/axisartist/demo_floating_axes.py
@@ -0,0 +1,167 @@
+"""
+==========================
+``floating_axes`` features
+==========================
+
+Demonstration of features of the :mod:`.floating_axes` module:
+
+* Using `~.axes.Axes.scatter` and `~.axes.Axes.bar` with changing the shape of
+  the plot.
+* Using `~.floating_axes.GridHelperCurveLinear` to rotate the plot and set the
+  plot boundary.
+* Using `~.Figure.add_subplot` to create a subplot using the return value from
+  `~.floating_axes.GridHelperCurveLinear`.
+* Making a sector plot by adding more features to
+  `~.floating_axes.GridHelperCurveLinear`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.projections import PolarAxes
+from matplotlib.transforms import Affine2D
+import mpl_toolkits.axisartist.angle_helper as angle_helper
+import mpl_toolkits.axisartist.floating_axes as floating_axes
+from mpl_toolkits.axisartist.grid_finder import (DictFormatter, FixedLocator,
+                                                 MaxNLocator)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def setup_axes1(fig, rect):
+    """
+    A simple one.
+    """
+    tr = Affine2D().scale(2, 1).rotate_deg(30)
+
+    grid_helper = floating_axes.GridHelperCurveLinear(
+        tr, extremes=(-0.5, 3.5, 0, 4),
+        grid_locator1=MaxNLocator(nbins=4),
+        grid_locator2=MaxNLocator(nbins=4))
+
+    ax1 = fig.add_subplot(
+        rect, axes_class=floating_axes.FloatingAxes, grid_helper=grid_helper)
+    ax1.grid()
+
+    aux_ax = ax1.get_aux_axes(tr)
+
+    return ax1, aux_ax
+
+
+def setup_axes2(fig, rect):
+    """
+    With custom locator and formatter.
+    Note that the extreme values are swapped.
+    """
+    tr = PolarAxes.PolarTransform()
+
+    pi = np.pi
+    angle_ticks = [(0, r"$0$"),
+                   (.25*pi, r"$\frac{1}{4}\pi$"),
+                   (.5*pi, r"$\frac{1}{2}\pi$")]
+    grid_locator1 = FixedLocator([v for v, s in angle_ticks])
+    tick_formatter1 = DictFormatter(dict(angle_ticks))
+
+    grid_locator2 = MaxNLocator(2)
+
+    grid_helper = floating_axes.GridHelperCurveLinear(
+        tr, extremes=(.5*pi, 0, 2, 1),
+        grid_locator1=grid_locator1,
+        grid_locator2=grid_locator2,
+        tick_formatter1=tick_formatter1,
+        tick_formatter2=None)
+
+    ax1 = fig.add_subplot(
+        rect, axes_class=floating_axes.FloatingAxes, grid_helper=grid_helper)
+    ax1.grid()
+
+    # create a parasite Axes whose transData in RA, cz
+    aux_ax = ax1.get_aux_axes(tr)
+
+    aux_ax.patch = ax1.patch  # for aux_ax to have a clip path as in ax
+    ax1.patch.zorder = 0.9  # but this has a side effect that the patch is
+    # drawn twice, and possibly over some other
+    # artists. So, we decrease the zorder a bit to
+    # prevent this.
+
+    return ax1, aux_ax
+
+
+def setup_axes3(fig, rect):
+    """
+    Sometimes, things like axis_direction need to be adjusted.
+    """
+
+    # rotate a bit for better orientation
+    tr_rotate = Affine2D().translate(-95, 0)
+
+    # scale degree to radians
+    tr_scale = Affine2D().scale(np.pi/180., 1.)
+
+    tr = tr_rotate + tr_scale + PolarAxes.PolarTransform()
+
+    grid_locator1 = angle_helper.LocatorHMS(4)
+    tick_formatter1 = angle_helper.FormatterHMS()
+
+    grid_locator2 = MaxNLocator(3)
+
+    # Specify theta limits in degrees
+    ra0, ra1 = 8.*15, 14.*15
+    # Specify radial limits
+    cz0, cz1 = 0, 14000
+    grid_helper = floating_axes.GridHelperCurveLinear(
+        tr, extremes=(ra0, ra1, cz0, cz1),
+        grid_locator1=grid_locator1,
+        grid_locator2=grid_locator2,
+        tick_formatter1=tick_formatter1,
+        tick_formatter2=None)
+
+    ax1 = fig.add_subplot(
+        rect, axes_class=floating_axes.FloatingAxes, grid_helper=grid_helper)
+
+    # adjust axis
+    ax1.axis["left"].set_axis_direction("bottom")
+    ax1.axis["right"].set_axis_direction("top")
+
+    ax1.axis["bottom"].set_visible(False)
+    ax1.axis["top"].set_axis_direction("bottom")
+    ax1.axis["top"].toggle(ticklabels=True, label=True)
+    ax1.axis["top"].major_ticklabels.set_axis_direction("top")
+    ax1.axis["top"].label.set_axis_direction("top")
+
+    ax1.axis["left"].label.set_text(r"cz [km$^{-1}$]")
+    ax1.axis["top"].label.set_text(r"$\alpha_{1950}$")
+    ax1.grid()
+
+    # create a parasite Axes whose transData in RA, cz
+    aux_ax = ax1.get_aux_axes(tr)
+
+    aux_ax.patch = ax1.patch  # for aux_ax to have a clip path as in ax
+    ax1.patch.zorder = 0.9  # but this has a side effect that the patch is
+    # drawn twice, and possibly over some other
+    # artists. So, we decrease the zorder a bit to
+    # prevent this.
+
+    return ax1, aux_ax
+
+
+# %%
+fig = plt.figure(figsize=(8, 4))
+fig.subplots_adjust(wspace=0.3, left=0.05, right=0.95)
+
+ax1, aux_ax1 = setup_axes1(fig, 131)
+aux_ax1.bar([0, 1, 2, 3], [3, 2, 1, 3])
+
+ax2, aux_ax2 = setup_axes2(fig, 132)
+theta = np.random.rand(10)*.5*np.pi
+radius = np.random.rand(10) + 1.
+aux_ax2.scatter(theta, radius)
+
+ax3, aux_ax3 = setup_axes3(fig, 133)
+
+theta = (8 + np.random.rand(10)*(14 - 8))*15.  # in degrees
+radius = np.random.rand(10)*14000.
+aux_ax3.scatter(theta, radius)
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_floating_axis.py b/galleries/examples/axisartist/demo_floating_axis.py
new file mode 100644
index 000000000000..0894bf8f4ce1
--- /dev/null
+++ b/galleries/examples/axisartist/demo_floating_axis.py
@@ -0,0 +1,67 @@
+"""
+==================
+floating_axis demo
+==================
+
+Axis within rectangular frame.
+
+The following code demonstrates how to put a floating polar curve within a
+rectangular box. In order to get a better sense of polar curves, please look at
+:doc:`/gallery/axisartist/demo_curvelinear_grid`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.projections import PolarAxes
+from matplotlib.transforms import Affine2D
+from mpl_toolkits.axisartist import GridHelperCurveLinear, HostAxes
+import mpl_toolkits.axisartist.angle_helper as angle_helper
+
+
+def curvelinear_test2(fig):
+    """Polar projection, but in a rectangular box."""
+    # see demo_curvelinear_grid.py for details
+    tr = Affine2D().scale(np.pi / 180., 1.) + PolarAxes.PolarTransform()
+
+    extreme_finder = angle_helper.ExtremeFinderCycle(20,
+                                                     20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf),
+                                                     )
+
+    grid_locator1 = angle_helper.LocatorDMS(12)
+
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(tr,
+                                        extreme_finder=extreme_finder,
+                                        grid_locator1=grid_locator1,
+                                        tick_formatter1=tick_formatter1
+                                        )
+
+    ax1 = fig.add_subplot(axes_class=HostAxes, grid_helper=grid_helper)
+
+    # Now creates floating axis
+
+    # floating axis whose first coordinate (theta) is fixed at 60
+    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
+    axis.label.set_text(r"$\theta = 60^{\circ}$")
+    axis.label.set_visible(True)
+
+    # floating axis whose second coordinate (r) is fixed at 6
+    ax1.axis["lon"] = axis = ax1.new_floating_axis(1, 6)
+    axis.label.set_text(r"$r = 6$")
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-5, 12)
+    ax1.set_ylim(-5, 10)
+
+    ax1.grid(True)
+
+
+fig = plt.figure(figsize=(5, 5))
+curvelinear_test2(fig)
+plt.show()
diff --git a/galleries/examples/axisartist/demo_parasite_axes.py b/galleries/examples/axisartist/demo_parasite_axes.py
new file mode 100644
index 000000000000..8565ef455c7e
--- /dev/null
+++ b/galleries/examples/axisartist/demo_parasite_axes.py
@@ -0,0 +1,53 @@
+"""
+==================
+Parasite Axes demo
+==================
+
+Create a parasite Axes. Such Axes would share the x scale with a host Axes,
+but show a different scale in y direction.
+
+This approach uses `mpl_toolkits.axes_grid1.parasite_axes.HostAxes` and
+`mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes`.
+
+The standard and recommended approach is to use instead standard Matplotlib
+axes, as shown in the :doc:`/gallery/spines/multiple_yaxis_with_spines`
+example.
+
+An alternative approach using `mpl_toolkits.axes_grid1` and
+`mpl_toolkits.axisartist` is shown in the
+:doc:`/gallery/axisartist/demo_parasite_axes2` example.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axisartist.parasite_axes import HostAxes
+
+fig = plt.figure()
+
+host = fig.add_axes([0.15, 0.1, 0.65, 0.8], axes_class=HostAxes)
+par1 = host.get_aux_axes(viewlim_mode=None, sharex=host)
+par2 = host.get_aux_axes(viewlim_mode=None, sharex=host)
+
+host.axis["right"].set_visible(False)
+
+par1.axis["right"].set_visible(True)
+par1.axis["right"].major_ticklabels.set_visible(True)
+par1.axis["right"].label.set_visible(True)
+
+par2.axis["right2"] = par2.new_fixed_axis(loc="right", offset=(60, 0))
+
+p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
+p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
+p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
+
+host.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
+par1.set(ylim=(0, 4), ylabel="Temperature")
+par2.set(ylim=(1, 65), ylabel="Velocity")
+
+host.legend()
+
+host.axis["left"].label.set_color(p1.get_color())
+par1.axis["right"].label.set_color(p2.get_color())
+par2.axis["right2"].label.set_color(p3.get_color())
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_parasite_axes2.py b/galleries/examples/axisartist/demo_parasite_axes2.py
new file mode 100644
index 000000000000..a2e8bd30022e
--- /dev/null
+++ b/galleries/examples/axisartist/demo_parasite_axes2.py
@@ -0,0 +1,56 @@
+"""
+==================
+Parasite axis demo
+==================
+
+This example demonstrates the use of parasite axis to plot multiple datasets
+onto one single plot.
+
+Notice how in this example, *par1* and *par2* are both obtained by calling
+``twinx()``, which ties their x-limits with the host's x-axis. From there, each
+of those two axis behave separately from each other: different datasets can be
+plotted, and the y-limits are adjusted separately.
+
+This approach uses `mpl_toolkits.axes_grid1.parasite_axes.host_subplot` and
+`mpl_toolkits.axisartist.axislines.Axes`.
+
+The standard and recommended approach is to use instead standard Matplotlib
+axes, as shown in the :doc:`/gallery/spines/multiple_yaxis_with_spines`
+example.
+
+An alternative approach using `mpl_toolkits.axes_grid1.parasite_axes.HostAxes`
+and `mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes` is shown in the
+:doc:`/gallery/axisartist/demo_parasite_axes` example.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits import axisartist
+from mpl_toolkits.axes_grid1 import host_subplot
+
+host = host_subplot(111, axes_class=axisartist.Axes)
+plt.subplots_adjust(right=0.75)
+
+par1 = host.twinx()
+par2 = host.twinx()
+
+par2.axis["right"] = par2.new_fixed_axis(loc="right", offset=(60, 0))
+
+par1.axis["right"].toggle(all=True)
+par2.axis["right"].toggle(all=True)
+
+p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
+p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
+p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
+
+host.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
+par1.set(ylim=(0, 4), ylabel="Temperature")
+par2.set(ylim=(1, 65), ylabel="Velocity")
+
+host.legend()
+
+host.axis["left"].label.set_color(p1.get_color())
+par1.axis["right"].label.set_color(p2.get_color())
+par2.axis["right"].label.set_color(p3.get_color())
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_ticklabel_alignment.py b/galleries/examples/axisartist/demo_ticklabel_alignment.py
new file mode 100644
index 000000000000..b68b8263f2ed
--- /dev/null
+++ b/galleries/examples/axisartist/demo_ticklabel_alignment.py
@@ -0,0 +1,40 @@
+"""
+===================
+Ticklabel alignment
+===================
+
+"""
+
+
+import matplotlib.pyplot as plt
+
+import mpl_toolkits.axisartist as axisartist
+
+
+def setup_axes(fig, pos):
+    ax = fig.add_subplot(pos, axes_class=axisartist.Axes)
+    ax.set_yticks([0.2, 0.8], labels=["short", "loooong"])
+    ax.set_xticks([0.2, 0.8], labels=[r"$\frac{1}{2}\pi$", r"$\pi$"])
+    return ax
+
+
+fig = plt.figure(figsize=(3, 5))
+fig.subplots_adjust(left=0.5, hspace=0.7)
+
+ax = setup_axes(fig, 311)
+ax.set_ylabel("ha=right")
+ax.set_xlabel("va=baseline")
+
+ax = setup_axes(fig, 312)
+ax.axis["left"].major_ticklabels.set_ha("center")
+ax.axis["bottom"].major_ticklabels.set_va("top")
+ax.set_ylabel("ha=center")
+ax.set_xlabel("va=top")
+
+ax = setup_axes(fig, 313)
+ax.axis["left"].major_ticklabels.set_ha("left")
+ax.axis["bottom"].major_ticklabels.set_va("bottom")
+ax.set_ylabel("ha=left")
+ax.set_xlabel("va=bottom")
+
+plt.show()
diff --git a/galleries/examples/axisartist/demo_ticklabel_direction.py b/galleries/examples/axisartist/demo_ticklabel_direction.py
new file mode 100644
index 000000000000..2248ea5234d7
--- /dev/null
+++ b/galleries/examples/axisartist/demo_ticklabel_direction.py
@@ -0,0 +1,45 @@
+"""
+===================
+Ticklabel direction
+===================
+
+"""
+
+import matplotlib.pyplot as plt
+
+import mpl_toolkits.axisartist.axislines as axislines
+
+
+def setup_axes(fig, pos):
+    ax = fig.add_subplot(pos, axes_class=axislines.Axes)
+    ax.set_yticks([0.2, 0.8])
+    ax.set_xticks([0.2, 0.8])
+    return ax
+
+
+fig = plt.figure(figsize=(6, 3))
+fig.subplots_adjust(bottom=0.2)
+
+ax = setup_axes(fig, 131)
+for axis in ax.axis.values():
+    axis.major_ticks.set_tick_out(True)
+# or you can simply do "ax.axis[:].major_ticks.set_tick_out(True)"
+
+ax = setup_axes(fig, 132)
+ax.axis["left"].set_axis_direction("right")
+ax.axis["bottom"].set_axis_direction("top")
+ax.axis["right"].set_axis_direction("left")
+ax.axis["top"].set_axis_direction("bottom")
+
+ax = setup_axes(fig, 133)
+ax.axis["left"].set_axis_direction("right")
+ax.axis[:].major_ticks.set_tick_out(True)
+
+ax.axis["left"].label.set_text("Long Label Left")
+ax.axis["bottom"].label.set_text("Label Bottom")
+ax.axis["right"].label.set_text("Long Label Right")
+ax.axis["right"].label.set_visible(True)
+ax.axis["left"].label.set_pad(0)
+ax.axis["bottom"].label.set_pad(10)
+
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axis_direction01.py b/galleries/examples/axisartist/simple_axis_direction01.py
new file mode 100644
index 000000000000..6c4d1716fa53
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axis_direction01.py
@@ -0,0 +1,22 @@
+"""
+=====================
+Simple axis direction
+=====================
+
+"""
+import matplotlib.pyplot as plt
+
+import mpl_toolkits.axisartist as axisartist
+
+fig = plt.figure(figsize=(4, 2.5))
+ax1 = fig.add_subplot(axes_class=axisartist.Axes)
+fig.subplots_adjust(right=0.8)
+
+ax1.axis["left"].major_ticklabels.set_axis_direction("top")
+ax1.axis["left"].label.set_text("Left label")
+
+ax1.axis["right"].label.set_visible(True)
+ax1.axis["right"].label.set_text("Right label")
+ax1.axis["right"].label.set_axis_direction("left")
+
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axis_direction03.py b/galleries/examples/axisartist/simple_axis_direction03.py
new file mode 100644
index 000000000000..b612cf14e119
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axis_direction03.py
@@ -0,0 +1,38 @@
+"""
+==========================================
+Simple axis tick label and tick directions
+==========================================
+
+First subplot moves the tick labels to inside the spines.
+Second subplot moves the ticks to inside the spines.
+These effects can be obtained for a standard Axes by `~.Axes.tick_params`.
+"""
+
+import matplotlib.pyplot as plt
+
+import mpl_toolkits.axisartist as axisartist
+
+
+def setup_axes(fig, pos):
+    ax = fig.add_subplot(pos, axes_class=axisartist.Axes)
+    ax.set_yticks([0.2, 0.8])
+    ax.set_xticks([0.2, 0.8])
+    return ax
+
+
+fig = plt.figure(figsize=(5, 2))
+fig.subplots_adjust(wspace=0.4, bottom=0.3)
+
+ax1 = setup_axes(fig, 121)
+ax1.set_xlabel("ax1 X-label")
+ax1.set_ylabel("ax1 Y-label")
+
+ax1.axis[:].invert_ticklabel_direction()
+
+ax2 = setup_axes(fig, 122)
+ax2.set_xlabel("ax2 X-label")
+ax2.set_ylabel("ax2 Y-label")
+
+ax2.axis[:].major_ticks.set_tick_out(False)
+
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axis_pad.py b/galleries/examples/axisartist/simple_axis_pad.py
new file mode 100644
index 000000000000..f40a1aa9f273
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axis_pad.py
@@ -0,0 +1,104 @@
+"""
+===============
+Simple axis pad
+===============
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.projections import PolarAxes
+from matplotlib.transforms import Affine2D
+import mpl_toolkits.axisartist as axisartist
+import mpl_toolkits.axisartist.angle_helper as angle_helper
+import mpl_toolkits.axisartist.grid_finder as grid_finder
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+def setup_axes(fig, rect):
+    """Polar projection, but in a rectangular box."""
+
+    # see demo_curvelinear_grid.py for details
+    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
+
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf),
+                                                     )
+
+    grid_locator1 = angle_helper.LocatorDMS(12)
+    grid_locator2 = grid_finder.MaxNLocator(5)
+
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(tr,
+                                        extreme_finder=extreme_finder,
+                                        grid_locator1=grid_locator1,
+                                        grid_locator2=grid_locator2,
+                                        tick_formatter1=tick_formatter1
+                                        )
+
+    ax1 = fig.add_subplot(
+        rect, axes_class=axisartist.Axes, grid_helper=grid_helper)
+    ax1.axis[:].set_visible(False)
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-5, 12)
+    ax1.set_ylim(-5, 10)
+
+    return ax1
+
+
+def add_floating_axis1(ax1):
+    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 30)
+    axis.label.set_text(r"$\theta = 30^{\circ}$")
+    axis.label.set_visible(True)
+
+    return axis
+
+
+def add_floating_axis2(ax1):
+    ax1.axis["lon"] = axis = ax1.new_floating_axis(1, 6)
+    axis.label.set_text(r"$r = 6$")
+    axis.label.set_visible(True)
+
+    return axis
+
+
+fig = plt.figure(figsize=(9, 3.))
+fig.subplots_adjust(left=0.01, right=0.99, bottom=0.01, top=0.99,
+                    wspace=0.01, hspace=0.01)
+
+
+def ann(ax1, d):
+    if plt.rcParams["text.usetex"]:
+        d = d.replace("_", r"\_")
+
+    ax1.annotate(d, (0.5, 1), (5, -5),
+                 xycoords="axes fraction", textcoords="offset points",
+                 va="top", ha="center")
+
+
+ax1 = setup_axes(fig, rect=141)
+axis = add_floating_axis1(ax1)
+ann(ax1, r"default")
+
+ax1 = setup_axes(fig, rect=142)
+axis = add_floating_axis1(ax1)
+axis.major_ticklabels.set_pad(10)
+ann(ax1, r"ticklabels.set_pad(10)")
+
+ax1 = setup_axes(fig, rect=143)
+axis = add_floating_axis1(ax1)
+axis.label.set_pad(20)
+ann(ax1, r"label.set_pad(20)")
+
+ax1 = setup_axes(fig, rect=144)
+axis = add_floating_axis1(ax1)
+axis.major_ticks.set_tick_out(True)
+ann(ax1, "ticks.set_tick_out(True)")
+
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axisartist1.py b/galleries/examples/axisartist/simple_axisartist1.py
new file mode 100644
index 000000000000..386347e142a1
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axisartist1.py
@@ -0,0 +1,52 @@
+"""
+=============================
+Custom spines with axisartist
+=============================
+
+This example showcases the use of :mod:`.axisartist` to draw spines at custom
+positions (here, at ``y = 0``).
+
+Note, however, that it is simpler to achieve this effect using standard
+`.Spine` methods, as demonstrated in
+:doc:`/gallery/spines/centered_spines_with_arrows`.
+
+.. redirect-from:: /gallery/axisartist/simple_axisline2
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits import axisartist
+
+fig = plt.figure(figsize=(6, 3), layout="constrained")
+# To construct Axes of two different classes, we need to use gridspec (or
+# MATLAB-style add_subplot calls).
+gs = fig.add_gridspec(1, 2)
+
+
+ax0 = fig.add_subplot(gs[0, 0], axes_class=axisartist.Axes)
+# Make a new axis along the first (x) axis which passes through y=0.
+ax0.axis["y=0"] = ax0.new_floating_axis(nth_coord=0, value=0,
+                                        axis_direction="bottom")
+ax0.axis["y=0"].toggle(all=True)
+ax0.axis["y=0"].label.set_text("y = 0")
+# Make other axis invisible.
+ax0.axis["bottom", "top", "right"].set_visible(False)
+
+
+# Alternatively, one can use AxesZero, which automatically sets up two
+# additional axis, named "xzero" (the y=0 axis) and "yzero" (the x=0 axis).
+ax1 = fig.add_subplot(gs[0, 1], axes_class=axisartist.axislines.AxesZero)
+# "xzero" and "yzero" default to invisible; make xzero axis visible.
+ax1.axis["xzero"].set_visible(True)
+ax1.axis["xzero"].label.set_text("Axis Zero")
+# Make other axis invisible.
+ax1.axis["bottom", "top", "right"].set_visible(False)
+
+
+# Draw some sample data.
+x = np.arange(0, 2*np.pi, 0.01)
+ax0.plot(x, np.sin(x))
+ax1.plot(x, np.sin(x))
+
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axisline.py b/galleries/examples/axisartist/simple_axisline.py
new file mode 100644
index 000000000000..10dab511c62c
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axisline.py
@@ -0,0 +1,36 @@
+"""
+===============
+Simple Axisline
+===============
+
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axisartist.axislines import AxesZero
+
+fig = plt.figure()
+fig.subplots_adjust(right=0.85)
+ax = fig.add_subplot(axes_class=AxesZero)
+
+# make right and top axis invisible
+ax.axis["right"].set_visible(False)
+ax.axis["top"].set_visible(False)
+
+# make xzero axis (horizontal axis line through y=0) visible.
+ax.axis["xzero"].set_visible(True)
+ax.axis["xzero"].label.set_text("Axis Zero")
+
+ax.set_ylim(-2, 4)
+ax.set_xlabel("Label X")
+ax.set_ylabel("Label Y")
+# Or:
+# ax.axis["bottom"].label.set_text("Label X")
+# ax.axis["left"].label.set_text("Label Y")
+
+# make new (right-side) yaxis, but with some offset
+ax.axis["right2"] = ax.new_fixed_axis(loc="right", offset=(20, 0))
+ax.axis["right2"].label.set_text("Label Y2")
+
+ax.plot([-2, 3, 2])
+plt.show()
diff --git a/galleries/examples/axisartist/simple_axisline3.py b/galleries/examples/axisartist/simple_axisline3.py
new file mode 100644
index 000000000000..9323674ff25a
--- /dev/null
+++ b/galleries/examples/axisartist/simple_axisline3.py
@@ -0,0 +1,18 @@
+"""
+================
+Simple Axisline3
+================
+
+"""
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.axisartist.axislines import Axes
+
+fig = plt.figure(figsize=(3, 3))
+
+ax = fig.add_subplot(axes_class=Axes)
+
+ax.axis["right"].set_visible(False)
+ax.axis["top"].set_visible(False)
+
+plt.show()
diff --git a/galleries/examples/color/README.txt b/galleries/examples/color/README.txt
new file mode 100644
index 000000000000..4b8b3bc4b751
--- /dev/null
+++ b/galleries/examples/color/README.txt
@@ -0,0 +1,7 @@
+.. _color_examples:
+
+Color
+=====
+
+For a description of the colormaps available in Matplotlib,
+see the :ref:`colormaps tutorial <tutorials-colors>`.
diff --git a/galleries/examples/color/color_by_yvalue.py b/galleries/examples/color/color_by_yvalue.py
new file mode 100644
index 000000000000..193f840db39e
--- /dev/null
+++ b/galleries/examples/color/color_by_yvalue.py
@@ -0,0 +1,39 @@
+"""
+================
+Color by y-value
+================
+
+Use masked arrays to plot a line with different colors by y-value.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2.0, 0.01)
+s = np.sin(2 * np.pi * t)
+
+upper = 0.77
+lower = -0.77
+
+supper = np.ma.masked_where(s < upper, s)
+slower = np.ma.masked_where(s > lower, s)
+smiddle = np.ma.masked_where((s < lower) | (s > upper), s)
+
+fig, ax = plt.subplots()
+ax.plot(t, smiddle, t, slower, t, supper)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#
+# .. tags::
+#
+#    styling: color
+#    styling: conditional
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/color/color_cycle_default.py b/galleries/examples/color/color_cycle_default.py
new file mode 100644
index 000000000000..af35f6d00f9e
--- /dev/null
+++ b/galleries/examples/color/color_cycle_default.py
@@ -0,0 +1,54 @@
+"""
+====================================
+Colors in the default property cycle
+====================================
+
+Display the colors from the default prop_cycle, which is obtained from the
+:ref:`rc parameters<customizing>`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.colors import TABLEAU_COLORS, same_color
+
+
+def f(x, a):
+    """A nice sigmoid-like parametrized curve, ending approximately at *a*."""
+    return 0.85 * a * (1 / (1 + np.exp(-x)) + 0.2)
+
+
+fig, ax = plt.subplots()
+ax.axis('off')
+ax.set_title("Colors in the default property cycle")
+
+prop_cycle = plt.rcParams['axes.prop_cycle']
+colors = prop_cycle.by_key()['color']
+x = np.linspace(-4, 4, 200)
+
+for i, (color, color_name) in enumerate(zip(colors, TABLEAU_COLORS)):
+    assert same_color(color, color_name)
+    pos = 4.5 - i
+    ax.plot(x, f(x, pos))
+    ax.text(4.2, pos, f"'C{i}': '{color_name}'", color=color, va="center")
+    ax.bar(9, 1, width=1.5, bottom=pos-0.5)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.axis`
+#    - `matplotlib.axes.Axes.text`
+#    - `matplotlib.colors.same_color`
+#    - `cycler.Cycler`
+#
+# .. tags::
+#
+#    styling: color
+#    purpose: reference
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/color/color_demo.py b/galleries/examples/color/color_demo.py
new file mode 100644
index 000000000000..6822efc3faa7
--- /dev/null
+++ b/galleries/examples/color/color_demo.py
@@ -0,0 +1,83 @@
+"""
+==========
+Color Demo
+==========
+
+Matplotlib recognizes the following formats to specify a color:
+
+1) an RGB or RGBA tuple of float values in ``[0, 1]`` (e.g. ``(0.1, 0.2, 0.5)``
+   or ``(0.1, 0.2, 0.5, 0.3)``).  RGBA is short for Red, Green, Blue, Alpha;
+2) a hex RGB or RGBA string (e.g., ``'#0F0F0F'`` or ``'#0F0F0F0F'``);
+3) a shorthand hex RGB or RGBA string, equivalent to the hex RGB or RGBA
+   string obtained by duplicating each character, (e.g., ``'#abc'``, equivalent
+   to ``'#aabbcc'``, or ``'#abcd'``, equivalent to ``'#aabbccdd'``);
+4) a string representation of a float value in ``[0, 1]`` inclusive for gray
+   level (e.g., ``'0.5'``);
+5) a single letter string, i.e. one of
+   ``{'b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'}``, which are short-hand notations
+   for shades of blue, green, red, cyan, magenta, yellow, black, and white;
+6) a X11/CSS4 ("html") color name, e.g. ``"blue"``;
+7) a name from the `xkcd color survey <https://xkcd.com/color/rgb/>`__,
+   prefixed with ``'xkcd:'`` (e.g., ``'xkcd:sky blue'``);
+8) a "Cn" color spec, i.e. ``'C'`` followed by a number, which is an index into
+   the default property cycle (:rc:`axes.prop_cycle`); the indexing is intended
+   to occur at rendering time, and defaults to black if the cycle does not
+   include color.
+9) one of ``{'tab:blue', 'tab:orange', 'tab:green', 'tab:red', 'tab:purple',
+   'tab:brown', 'tab:pink', 'tab:gray', 'tab:olive', 'tab:cyan'}`` which are
+   the Tableau Colors from the 'tab10' categorical palette (which is the
+   default color cycle);
+
+For more information on colors in matplotlib see
+
+* the :ref:`colors_def` tutorial;
+* the `matplotlib.colors` API;
+* the :doc:`/gallery/color/named_colors` example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.linspace(0.0, 2.0, 201)
+s = np.sin(2 * np.pi * t)
+
+# 1) RGB tuple:
+fig, ax = plt.subplots(facecolor=(.18, .31, .31))
+# 2) hex string:
+ax.set_facecolor('#eafff5')
+# 3) gray level string:
+ax.set_title('Voltage vs. time chart', color='0.7')
+# 4) single letter color string
+ax.set_xlabel('Time [s]', color='c')
+# 5) a named color:
+ax.set_ylabel('Voltage [mV]', color='peachpuff')
+# 6) a named xkcd color:
+ax.plot(t, s, 'xkcd:crimson')
+# 7) Cn notation:
+ax.plot(t, .7*s, color='C4', linestyle='--')
+# 8) tab notation:
+ax.tick_params(labelcolor='tab:orange')
+
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors`
+#    - `matplotlib.axes.Axes.plot`
+#    - `matplotlib.axes.Axes.set_facecolor`
+#    - `matplotlib.axes.Axes.set_title`
+#    - `matplotlib.axes.Axes.set_xlabel`
+#    - `matplotlib.axes.Axes.set_ylabel`
+#    - `matplotlib.axes.Axes.tick_params`
+#
+# .. tags::
+#
+#    styling: color
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/color/color_sequences.py b/galleries/examples/color/color_sequences.py
new file mode 100644
index 000000000000..4fc5571a0b69
--- /dev/null
+++ b/galleries/examples/color/color_sequences.py
@@ -0,0 +1,66 @@
+"""
+=====================
+Named color sequences
+=====================
+
+Matplotlib's `~matplotlib.colors.ColorSequenceRegistry` allows access to
+predefined lists of colors by name e.g.
+``colors = matplotlib.color_sequences['Set1']``.  This example shows all of the
+built in color sequences.
+
+User-defined sequences can be added via `.ColorSequenceRegistry.register`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+
+def plot_color_sequences(names, ax):
+    # Display each named color sequence horizontally on the supplied axes.
+
+    for n, name in enumerate(names):
+        colors = mpl.color_sequences[name]
+        n_colors = len(colors)
+        x = np.arange(n_colors)
+        y = np.full_like(x, n)
+
+        ax.scatter(x, y, facecolor=colors, edgecolor='dimgray', s=200, zorder=2)
+
+    ax.set_yticks(range(len(names)), labels=names)
+    ax.grid(visible=True, axis='y')
+    ax.yaxis.set_inverted(True)
+    ax.xaxis.set_visible(False)
+    ax.spines[:].set_visible(False)
+    ax.tick_params(left=False)
+
+
+built_in_color_sequences = [
+    'tab10', 'tab20', 'tab20b', 'tab20c', 'Pastel1', 'Pastel2', 'Paired',
+    'Accent', 'Dark2', 'Set1', 'Set2', 'Set3', 'petroff6', 'petroff8',
+    'petroff10']
+
+
+fig, ax = plt.subplots(figsize=(6.4, 9.6), layout='constrained')
+
+plot_color_sequences(built_in_color_sequences, ax)
+ax.set_title('Built In Color Sequences')
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors.ColorSequenceRegistry`
+#    - `matplotlib.axes.Axes.scatter`
+#
+# .. tags::
+#
+#    styling: color
+#    purpose: reference
diff --git a/galleries/examples/color/colorbar_basics.py b/galleries/examples/color/colorbar_basics.py
new file mode 100644
index 000000000000..8a35f8ac2b68
--- /dev/null
+++ b/galleries/examples/color/colorbar_basics.py
@@ -0,0 +1,65 @@
+"""
+========
+Colorbar
+========
+
+Use `~.Figure.colorbar` by specifying the mappable object (here
+the `.AxesImage` returned by `~.axes.Axes.imshow`)
+and the Axes to attach the colorbar to.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# setup some generic data
+N = 37
+x, y = np.mgrid[:N, :N]
+Z = (np.cos(x*0.2) + np.sin(y*0.3))
+
+# mask out the negative and positive values, respectively
+Zpos = np.ma.masked_less(Z, 0)
+Zneg = np.ma.masked_greater(Z, 0)
+
+fig, (ax1, ax2, ax3) = plt.subplots(figsize=(13, 3), ncols=3)
+
+# plot just the positive data and save the
+# color "mappable" object returned by ax1.imshow
+pos = ax1.imshow(Zpos, cmap='Blues', interpolation='none')
+
+# add the colorbar using the figure's method,
+# telling which mappable we're talking about and
+# which Axes object it should be near
+fig.colorbar(pos, ax=ax1)
+
+# repeat everything above for the negative data
+# you can specify location, anchor and shrink the colorbar
+neg = ax2.imshow(Zneg, cmap='Reds_r', interpolation='none')
+fig.colorbar(neg, ax=ax2, location='right', anchor=(0, 0.3), shrink=0.7)
+
+# Plot both positive and negative values between +/- 1.2
+pos_neg_clipped = ax3.imshow(Z, cmap='RdBu', vmin=-1.2, vmax=1.2,
+                             interpolation='none')
+# Add minorticks on the colorbar to make it easy to read the
+# values off the colorbar.
+cbar = fig.colorbar(pos_neg_clipped, ax=ax3, extend='both')
+cbar.minorticks_on()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colorbar.Colorbar.minorticks_on`
+#    - `matplotlib.colorbar.Colorbar.minorticks_off`
+#
+# .. tags::
+#
+#    component: colorbar
+#    styling: color
+#    plot-type: imshow
+#    level: beginner
diff --git a/galleries/examples/color/colorbar_histogram.py b/galleries/examples/color/colorbar_histogram.py
new file mode 100644
index 000000000000..4a1a07e265a2
--- /dev/null
+++ b/galleries/examples/color/colorbar_histogram.py
@@ -0,0 +1,48 @@
+"""
+=====================
+Histogram as colorbar
+=====================
+
+This example demonstrates how to use a colored histogram instead of a colorbar
+to not only show the color-to-value mapping, but also visualize the
+distribution of values.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as mcolors
+
+# surface data
+delta = 0.025
+x = y = np.arange(-2.0, 2.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-(((X + 1) * 1.3) ** 2) - ((Y + 1) * 1.3) ** 2)
+Z2 = 2.5 * np.exp(-((X - 1) ** 2) - (Y - 1) ** 2)
+Z = Z1**0.25 - Z2**0.5
+
+# colormap & normalization
+bins = 30
+cmap = plt.get_cmap("RdYlBu_r")
+bin_edges = np.linspace(Z.min(), Z.max(), bins + 1)
+norm = mcolors.BoundaryNorm(bin_edges, cmap.N)
+
+# main plot
+fig, ax = plt.subplots(layout="constrained")
+im = ax.imshow(Z, cmap=cmap, origin="lower", extent=[-3, 3, -3, 3], norm=norm)
+
+# inset histogram
+cax = ax.inset_axes([1.18, 0.02, 0.25, 0.95])  # left, bottom, width, height
+
+# plot histogram
+counts, _ = np.histogram(Z, bins=bin_edges)
+midpoints = (bin_edges[:-1] + bin_edges[1:]) / 2
+distance = midpoints[1] - midpoints[0]
+cax.barh(midpoints, counts, height=0.8 * distance, color=cmap(norm(midpoints)))
+
+# styling
+cax.spines[:].set_visible(False)
+cax.set_yticks(bin_edges)
+cax.tick_params(axis="both", which="both", length=0)
+
+plt.show()
diff --git a/galleries/examples/color/colormap_reference.py b/galleries/examples/color/colormap_reference.py
new file mode 100644
index 000000000000..6f550161f2e9
--- /dev/null
+++ b/galleries/examples/color/colormap_reference.py
@@ -0,0 +1,102 @@
+"""
+==================
+Colormap reference
+==================
+
+Reference for colormaps included with Matplotlib.
+
+A reversed version of each of these colormaps is available by appending
+``_r`` to the name, as shown in :ref:`reverse-cmap`.
+
+See :ref:`colormaps` for an in-depth discussion about
+colormaps, including colorblind-friendliness, and
+:ref:`colormap-manipulation` for a guide to creating
+colormaps.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+cmaps = [('Perceptually Uniform Sequential', [
+            'viridis', 'plasma', 'inferno', 'magma', 'cividis']),
+         ('Sequential', [
+            'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds',
+            'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu',
+            'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']),
+         ('Sequential (2)', [
+            'binary', 'gist_yarg', 'gist_gray', 'gray', 'bone', 'pink',
+            'spring', 'summer', 'autumn', 'winter', 'cool', 'Wistia',
+            'hot', 'afmhot', 'gist_heat', 'copper']),
+         ('Diverging', [
+            'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu',
+            'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic',
+            'berlin', 'managua', 'vanimo']),
+         ('Cyclic', ['twilight', 'twilight_shifted', 'hsv']),
+         ('Qualitative', [
+            'Pastel1', 'Pastel2', 'Paired', 'Accent',
+            'Dark2', 'Set1', 'Set2', 'Set3',
+            'tab10', 'tab20', 'tab20b', 'tab20c']),
+         ('Miscellaneous', [
+            'flag', 'prism', 'ocean', 'gist_earth', 'terrain', 'gist_stern',
+            'gnuplot', 'gnuplot2', 'CMRmap', 'cubehelix', 'brg',
+            'gist_rainbow', 'rainbow', 'jet', 'turbo', 'nipy_spectral',
+            'gist_ncar'])]
+
+gradient = np.linspace(0, 1, 256)
+gradient = np.vstack((gradient, gradient))
+
+
+def plot_color_gradients(cmap_category, cmap_list):
+    # Create figure and adjust figure height to number of colormaps
+    nrows = len(cmap_list)
+    figh = 0.35 + 0.15 + (nrows + (nrows-1)*0.1)*0.22
+    fig, axs = plt.subplots(nrows=nrows, figsize=(6.4, figh))
+    fig.subplots_adjust(top=1-.35/figh, bottom=.15/figh, left=0.2, right=0.99)
+
+    axs[0].set_title(f"{cmap_category} colormaps", fontsize=14)
+
+    for ax, cmap_name in zip(axs, cmap_list):
+        ax.imshow(gradient, aspect='auto', cmap=cmap_name)
+        ax.text(-.01, .5, cmap_name, va='center', ha='right', fontsize=10,
+                transform=ax.transAxes)
+
+    # Turn off *all* ticks & spines, not just the ones with colormaps.
+    for ax in axs:
+        ax.set_axis_off()
+
+
+for cmap_category, cmap_list in cmaps:
+    plot_color_gradients(cmap_category, cmap_list)
+
+
+# %%
+# .. _reverse-cmap:
+#
+# Reversed colormaps
+# ------------------
+#
+# Append ``_r`` to the name of any built-in colormap to get the reversed
+# version:
+
+plot_color_gradients("Original and reversed ", ['viridis', 'viridis_r'])
+
+# %%
+# The built-in reversed colormaps are generated using `.Colormap.reversed`.
+# For an example, see :ref:`reversing-colormap`
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors`
+#    - `matplotlib.axes.Axes.imshow`
+#    - `matplotlib.figure.Figure.text`
+#    - `matplotlib.axes.Axes.set_axis_off`
+#
+# .. tags::
+#
+#    styling: colormap
+#    purpose: reference
diff --git a/galleries/examples/color/custom_cmap.py b/galleries/examples/color/custom_cmap.py
new file mode 100644
index 000000000000..616ab9f279fd
--- /dev/null
+++ b/galleries/examples/color/custom_cmap.py
@@ -0,0 +1,288 @@
+"""
+=======================================
+Create a colormap from a list of colors
+=======================================
+
+For more detail on creating and manipulating colormaps see
+:ref:`colormap-manipulation`.
+
+Creating a :ref:`colormap <colormaps>` from a list of colors
+can be done with the `.LinearSegmentedColormap.from_list` method.  You must
+pass a list of RGB tuples that define the mixture of colors from 0 to 1.
+
+
+Creating custom colormaps
+=========================
+It is also possible to create a custom mapping for a colormap. This is
+accomplished by creating dictionary that specifies how the RGB channels
+change from one end of the cmap to the other.
+
+Example: suppose you want red to increase from 0 to 1 over the bottom
+half, green to do the same over the middle half, and blue over the top
+half.  Then you would use::
+
+    cdict = {
+        'red': (
+            (0.0,  0.0, 0.0),
+            (0.5,  1.0, 1.0),
+            (1.0,  1.0, 1.0),
+        ),
+        'green': (
+            (0.0,  0.0, 0.0),
+            (0.25, 0.0, 0.0),
+            (0.75, 1.0, 1.0),
+            (1.0,  1.0, 1.0),
+        ),
+        'blue': (
+            (0.0,  0.0, 0.0),
+            (0.5,  0.0, 0.0),
+            (1.0,  1.0, 1.0),
+        )
+    }
+
+If, as in this example, there are no discontinuities in the r, g, and b
+components, then it is quite simple: the second and third element of
+each tuple, above, is the same -- call it "``y``".  The first element ("``x``")
+defines interpolation intervals over the full range of 0 to 1, and it
+must span that whole range.  In other words, the values of ``x`` divide the
+0-to-1 range into a set of segments, and ``y`` gives the end-point color
+values for each segment.
+
+Now consider the green, ``cdict['green']`` is saying that for:
+
+- 0 <= ``x`` <= 0.25, ``y`` is zero; no green.
+- 0.25 < ``x`` <= 0.75, ``y`` varies linearly from 0 to 1.
+- 0.75 < ``x`` <= 1, ``y`` remains at 1, full green.
+
+If there are discontinuities, then it is a little more complicated. Label the 3
+elements in each row in the ``cdict`` entry for a given color as ``(x, y0,
+y1)``. Then for values of ``x`` between ``x[i]`` and ``x[i+1]`` the color value
+is interpolated between ``y1[i]`` and ``y0[i+1]``.
+
+Going back to a cookbook example::
+
+    cdict = {
+        'red': (
+            (0.0,  0.0, 0.0),
+            (0.5,  1.0, 0.7),
+            (1.0,  1.0, 1.0),
+        ),
+        'green': (
+            (0.0,  0.0, 0.0),
+            (0.5,  1.0, 0.0),
+            (1.0,  1.0, 1.0),
+        ),
+        'blue': (
+            (0.0,  0.0, 0.0),
+            (0.5,  0.0, 0.0),
+            (1.0,  1.0, 1.0),
+        )
+    }
+
+and look at ``cdict['red'][1]``; because ``y0 != y1``, it is saying that for
+``x`` from 0 to 0.5, red increases from 0 to 1, but then it jumps down, so that
+for ``x`` from 0.5 to 1, red increases from 0.7 to 1.  Green ramps from 0 to 1
+as ``x`` goes from 0 to 0.5, then jumps back to 0, and ramps back to 1 as ``x``
+goes from 0.5 to 1. ::
+
+  row i:   x  y0  y1
+                 /
+                /
+  row i+1: x  y0  y1
+
+Above is an attempt to show that for ``x`` in the range ``x[i]`` to ``x[i+1]``,
+the interpolation is between ``y1[i]`` and ``y0[i+1]``.  So, ``y0[0]`` and
+``y1[-1]`` are never used.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib.colors import LinearSegmentedColormap
+
+# Make some illustrative fake data:
+
+x = np.arange(0, np.pi, 0.1)
+y = np.arange(0, 2 * np.pi, 0.1)
+X, Y = np.meshgrid(x, y)
+Z = np.cos(X) * np.sin(Y) * 10
+
+
+# %%
+# Colormaps from a list
+# ---------------------
+
+colors = [(1, 0, 0), (0, 1, 0), (0, 0, 1)]  # R -> G -> B
+n_bins = [3, 6, 10, 100]  # Discretizes the interpolation into bins
+cmap_name = 'my_list'
+fig, axs = plt.subplots(2, 2, figsize=(6, 9))
+fig.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)
+for n_bin, ax in zip(n_bins, axs.flat):
+    # Create the colormap
+    cmap = LinearSegmentedColormap.from_list(cmap_name, colors, N=n_bin)
+    # Fewer bins will result in "coarser" colomap interpolation
+    im = ax.imshow(Z, origin='lower', cmap=cmap)
+    ax.set_title("N bins: %s" % n_bin)
+    fig.colorbar(im, ax=ax)
+
+
+# %%
+# Custom colormaps
+# ----------------
+
+cdict1 = {
+    'red': (
+        (0.0, 0.0, 0.0),
+        (0.5, 0.0, 0.1),
+        (1.0, 1.0, 1.0),
+    ),
+    'green': (
+        (0.0, 0.0, 0.0),
+        (1.0, 0.0, 0.0),
+    ),
+    'blue': (
+        (0.0, 0.0, 1.0),
+        (0.5, 0.1, 0.0),
+        (1.0, 0.0, 0.0),
+    )
+}
+
+cdict2 = {
+    'red': (
+        (0.0, 0.0, 0.0),
+        (0.5, 0.0, 1.0),
+        (1.0, 0.1, 1.0),
+    ),
+    'green': (
+        (0.0, 0.0, 0.0),
+        (1.0, 0.0, 0.0),
+    ),
+    'blue': (
+        (0.0, 0.0, 0.1),
+        (0.5, 1.0, 0.0),
+        (1.0, 0.0, 0.0),
+    )
+}
+
+cdict3 = {
+    'red': (
+        (0.0, 0.0, 0.0),
+        (0.25, 0.0, 0.0),
+        (0.5, 0.8, 1.0),
+        (0.75, 1.0, 1.0),
+        (1.0, 0.4, 1.0),
+    ),
+    'green': (
+        (0.0, 0.0, 0.0),
+        (0.25, 0.0, 0.0),
+        (0.5, 0.9, 0.9),
+        (0.75, 0.0, 0.0),
+        (1.0, 0.0, 0.0),
+    ),
+    'blue': (
+        (0.0, 0.0, 0.4),
+        (0.25, 1.0, 1.0),
+        (0.5, 1.0, 0.8),
+        (0.75, 0.0, 0.0),
+        (1.0, 0.0, 0.0),
+    )
+}
+
+# Make a modified version of cdict3 with some transparency
+# in the middle of the range.
+cdict4 = {
+    **cdict3,
+    'alpha': (
+        (0.0, 1.0, 1.0),
+        # (0.25, 1.0, 1.0),
+        (0.5, 0.3, 0.3),
+        # (0.75, 1.0, 1.0),
+        (1.0, 1.0, 1.0),
+    ),
+}
+
+
+# %%
+# Now we will use this example to illustrate 2 ways of
+# handling custom colormaps.
+# First, the most direct and explicit:
+
+blue_red1 = LinearSegmentedColormap('BlueRed1', cdict1)
+
+# %%
+# Second, create the map explicitly and register it.
+# Like the first method, this method works with any kind
+# of Colormap, not just
+# a LinearSegmentedColormap:
+
+mpl.colormaps.register(LinearSegmentedColormap('BlueRed2', cdict2))
+mpl.colormaps.register(LinearSegmentedColormap('BlueRed3', cdict3))
+mpl.colormaps.register(LinearSegmentedColormap('BlueRedAlpha', cdict4))
+
+# %%
+# Make the figure, with 4 subplots:
+
+fig, axs = plt.subplots(2, 2, figsize=(6, 9))
+fig.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)
+
+im1 = axs[0, 0].imshow(Z, cmap=blue_red1)
+fig.colorbar(im1, ax=axs[0, 0])
+
+im2 = axs[1, 0].imshow(Z, cmap='BlueRed2')
+fig.colorbar(im2, ax=axs[1, 0])
+
+# Now we will set the third cmap as the default.  One would
+# not normally do this in the middle of a script like this;
+# it is done here just to illustrate the method.
+
+plt.rcParams['image.cmap'] = 'BlueRed3'
+
+im3 = axs[0, 1].imshow(Z)
+fig.colorbar(im3, ax=axs[0, 1])
+axs[0, 1].set_title("Alpha = 1")
+
+# Or as yet another variation, we can replace the rcParams
+# specification *before* the imshow with the following *after*
+# imshow.
+# This sets the new default *and* sets the colormap of the last
+# image-like item plotted via pyplot, if any.
+#
+
+# Draw a line with low zorder so it will be behind the image.
+axs[1, 1].plot([0, 10 * np.pi], [0, 20 * np.pi], color='c', lw=20, zorder=-1)
+
+im4 = axs[1, 1].imshow(Z)
+fig.colorbar(im4, ax=axs[1, 1])
+
+# Here it is: changing the colormap for the current image and its
+# colorbar after they have been plotted.
+im4.set_cmap('BlueRedAlpha')
+axs[1, 1].set_title("Varying alpha")
+
+fig.suptitle('Custom Blue-Red colormaps', fontsize=16)
+fig.subplots_adjust(top=0.9)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors`
+#    - `matplotlib.colors.LinearSegmentedColormap`
+#    - `matplotlib.colors.LinearSegmentedColormap.from_list`
+#    - `matplotlib.cm`
+#    - `matplotlib.cm.ScalarMappable.set_cmap`
+#    - `matplotlib.cm.ColormapRegistry.register`
+#
+# .. tags::
+#
+#    styling: colormap
+#    plot-type: imshow
+#    level: intermediate
diff --git a/galleries/examples/color/individual_colors_from_cmap.py b/galleries/examples/color/individual_colors_from_cmap.py
new file mode 100644
index 000000000000..1b0c4382c7d4
--- /dev/null
+++ b/galleries/examples/color/individual_colors_from_cmap.py
@@ -0,0 +1,74 @@
+"""
+===========================================
+Selecting individual colors from a colormap
+===========================================
+
+Sometimes we want to use more colors or a different set of colors than the default color
+cycle provides. Selecting individual colors from one of the provided colormaps can be a
+convenient way to do this.
+
+We can retrieve colors from any `.Colormap` by calling it with a float or a list of
+floats in the range [0, 1]; e.g. ``cmap(0.5)`` will give the middle color. See also
+`.Colormap.__call__`.
+
+Extracting colors from a continuous colormap
+--------------------------------------------
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+n_lines = 21
+cmap = mpl.colormaps['plasma']
+
+# Take colors at regular intervals spanning the colormap.
+colors = cmap(np.linspace(0, 1, n_lines))
+
+fig, ax = plt.subplots(layout='constrained')
+
+for i, color in enumerate(colors):
+    ax.plot([0, i], color=color)
+
+plt.show()
+
+# %%
+#
+# Extracting colors from a discrete colormap
+# ------------------------------------------
+# The list of all colors in a `.ListedColormap` is available as the ``colors``
+# attribute.  Note that all the colors from Matplotlib's qualitative color maps
+# are also available as color sequences, so may be accessed more directly from
+# the color sequence registry.  See :doc:`/gallery/color/color_sequences`.
+
+colors = mpl.colormaps['Dark2'].colors
+
+fig, ax = plt.subplots(layout='constrained')
+
+for i, color in enumerate(colors):
+    ax.plot([0, i], color=color)
+
+plt.show()
+
+# %%
+# See Also
+# --------
+#
+# For more details about manipulating colormaps, see :ref:`colormap-manipulation`.  To
+# change the default color cycle, see :ref:`color_cycle`.
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors.Colormap`
+#    - `matplotlib.colors.Colormap.resampled`
+#
+# .. tags::
+#
+#    styling: colormap
+#    styling: color
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/color/named_colors.py b/galleries/examples/color/named_colors.py
new file mode 100644
index 000000000000..a5bcf00cb0cb
--- /dev/null
+++ b/galleries/examples/color/named_colors.py
@@ -0,0 +1,128 @@
+"""
+====================
+List of named colors
+====================
+
+This plots a list of the named colors supported by Matplotlib.
+For more information on colors in matplotlib see
+
+* the :ref:`colors_def` tutorial;
+* the `matplotlib.colors` API;
+* the :doc:`/gallery/color/color_demo`.
+
+----------------------------
+Helper Function for Plotting
+----------------------------
+First we define a helper function for making a table of colors, then we use it
+on some common color categories.
+"""
+
+import math
+
+import matplotlib.pyplot as plt
+
+import matplotlib.colors as mcolors
+from matplotlib.patches import Rectangle
+
+
+def plot_colortable(colors, *, ncols=4, sort_colors=True):
+
+    cell_width = 212
+    cell_height = 22
+    swatch_width = 48
+    margin = 12
+
+    # Sort colors by hue, saturation, value and name.
+    if sort_colors is True:
+        names = sorted(
+            colors, key=lambda c: tuple(mcolors.rgb_to_hsv(mcolors.to_rgb(c))))
+    else:
+        names = list(colors)
+
+    n = len(names)
+    nrows = math.ceil(n / ncols)
+
+    width = cell_width * ncols + 2 * margin
+    height = cell_height * nrows + 2 * margin
+    dpi = 72
+
+    fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
+    fig.subplots_adjust(margin/width, margin/height,
+                        (width-margin)/width, (height-margin)/height)
+    ax.set_xlim(0, cell_width * ncols)
+    ax.set_ylim(cell_height * (nrows-0.5), -cell_height/2.)
+    ax.yaxis.set_visible(False)
+    ax.xaxis.set_visible(False)
+    ax.set_axis_off()
+
+    for i, name in enumerate(names):
+        row = i % nrows
+        col = i // nrows
+        y = row * cell_height
+
+        swatch_start_x = cell_width * col
+        text_pos_x = cell_width * col + swatch_width + 7
+
+        ax.text(text_pos_x, y, name, fontsize=14,
+                horizontalalignment='left',
+                verticalalignment='center')
+
+        ax.add_patch(
+            Rectangle(xy=(swatch_start_x, y-9), width=swatch_width,
+                      height=18, facecolor=colors[name], edgecolor='0.7')
+        )
+
+    return fig
+
+# %%
+# -----------
+# Base colors
+# -----------
+
+plot_colortable(mcolors.BASE_COLORS, ncols=3, sort_colors=False)
+
+# %%
+# ---------------
+# Tableau Palette
+# ---------------
+
+plot_colortable(mcolors.TABLEAU_COLORS, ncols=2, sort_colors=False)
+
+# %%
+# ----------
+# CSS Colors
+# ----------
+
+# sphinx_gallery_thumbnail_number = 3
+plot_colortable(mcolors.CSS4_COLORS)
+plt.show()
+
+# %%
+# -----------
+# XKCD Colors
+# -----------
+# Matplotlib supports colors from the
+# `xkcd color survey <https://xkcd.com/color/rgb/>`_, e.g. ``"xkcd:sky blue"``. Since
+# this contains almost 1000 colors, a figure of this would be very large and is thus
+# omitted here. You can use the following code to generate the overview yourself ::
+#
+#     xkcd_fig = plot_colortable(mcolors.XKCD_COLORS)
+#     xkcd_fig.savefig("XKCD_Colors.png")
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors`
+#    - `matplotlib.colors.rgb_to_hsv`
+#    - `matplotlib.colors.to_rgba`
+#    - `matplotlib.figure.Figure.get_size_inches`
+#    - `matplotlib.figure.Figure.subplots_adjust`
+#    - `matplotlib.axes.Axes.text`
+#    - `matplotlib.patches.Rectangle`
+#
+# .. tags::
+#
+#    styling: color
+#    purpose: reference
diff --git a/galleries/examples/color/set_alpha.py b/galleries/examples/color/set_alpha.py
new file mode 100644
index 000000000000..b8ba559f5f4a
--- /dev/null
+++ b/galleries/examples/color/set_alpha.py
@@ -0,0 +1,59 @@
+"""
+=================================
+Ways to set a color's alpha value
+=================================
+
+Compare setting alpha by the *alpha* keyword argument and by one of the Matplotlib color
+formats. Often, the *alpha* keyword is the only tool needed to add transparency to a
+color. In some cases, the *(matplotlib_color, alpha)* color format provides an easy way
+to fine-tune the appearance of a Figure.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility.
+np.random.seed(19680801)
+
+fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4))
+
+x_values = [n for n in range(20)]
+y_values = np.random.randn(20)
+
+facecolors = ['green' if y > 0 else 'red' for y in y_values]
+edgecolors = facecolors
+
+ax1.bar(x_values, y_values, color=facecolors, edgecolor=edgecolors, alpha=0.5)
+ax1.set_title("Explicit 'alpha' keyword value\nshared by all bars and edges")
+
+
+# Normalize y values to get distinct face alpha values.
+abs_y = [abs(y) for y in y_values]
+face_alphas = [n / max(abs_y) for n in abs_y]
+edge_alphas = [1 - alpha for alpha in face_alphas]
+
+colors_with_alphas = list(zip(facecolors, face_alphas))
+edgecolors_with_alphas = list(zip(edgecolors, edge_alphas))
+
+ax2.bar(x_values, y_values, color=colors_with_alphas,
+        edgecolor=edgecolors_with_alphas)
+ax2.set_title('Normalized alphas for\neach bar and each edge')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar`
+#    - `matplotlib.pyplot.subplots`
+#
+# .. tags::
+#
+#    styling: color
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/event_handling/README.txt b/galleries/examples/event_handling/README.txt
new file mode 100644
index 000000000000..44aa9cf3ac6a
--- /dev/null
+++ b/galleries/examples/event_handling/README.txt
@@ -0,0 +1,13 @@
+.. _event_handling_examples:
+
+Event handling
+==============
+
+Matplotlib supports :ref:`event handling <event_handling>` with
+a GUI neutral event model, so you can connect to Matplotlib events without
+knowledge of what user interface Matplotlib will ultimately be plugged in to.
+This has two advantages: the code you write will be more portable, and
+Matplotlib events are aware of things like data coordinate space and which
+axes the event occurs in so you don't have to mess with low level
+transformation details to go from canvas space to data space.  Object picking
+examples are also included.
diff --git a/galleries/examples/event_handling/close_event.py b/galleries/examples/event_handling/close_event.py
new file mode 100644
index 000000000000..060388269c8c
--- /dev/null
+++ b/galleries/examples/event_handling/close_event.py
@@ -0,0 +1,26 @@
+"""
+===========
+Close event
+===========
+
+Example to show connecting events that occur when the figure closes.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import matplotlib.pyplot as plt
+
+
+def on_close(event):
+    print('Closed Figure!')
+
+fig = plt.figure()
+fig.canvas.mpl_connect('close_event', on_close)
+
+plt.text(0.35, 0.5, 'Close Me!', dict(size=30))
+plt.show()
diff --git a/galleries/examples/event_handling/coords_demo.py b/galleries/examples/event_handling/coords_demo.py
new file mode 100644
index 000000000000..a7d2d044fe3b
--- /dev/null
+++ b/galleries/examples/event_handling/coords_demo.py
@@ -0,0 +1,44 @@
+"""
+===========================
+Mouse move and click events
+===========================
+
+An example of how to interact with the plotting canvas by connecting to move
+and click events.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.backend_bases import MouseButton
+
+t = np.arange(0.0, 1.0, 0.01)
+s = np.sin(2 * np.pi * t)
+fig, ax = plt.subplots()
+ax.plot(t, s)
+
+
+def on_move(event):
+    if event.inaxes:
+        print(f'data coords {event.xdata} {event.ydata},',
+              f'pixel coords {event.x} {event.y}')
+
+
+def on_click(event):
+    if event.button is MouseButton.LEFT:
+        print('disconnecting callback')
+        plt.disconnect(binding_id)
+
+
+binding_id = plt.connect('motion_notify_event', on_move)
+plt.connect('button_press_event', on_click)
+
+plt.show()
diff --git a/galleries/examples/event_handling/cursor_demo.py b/galleries/examples/event_handling/cursor_demo.py
new file mode 100644
index 000000000000..6c12d67ae6d4
--- /dev/null
+++ b/galleries/examples/event_handling/cursor_demo.py
@@ -0,0 +1,242 @@
+"""
+=================
+Cross-hair cursor
+=================
+
+This example adds a cross-hair as a data cursor.  The cross-hair is
+implemented as regular line objects that are updated on mouse move.
+
+We show three implementations:
+
+1) A simple cursor implementation that redraws the figure on every mouse move.
+   This is a bit slow, and you may notice some lag of the cross-hair movement.
+2) A cursor that uses blitting for speedup of the rendering.
+3) A cursor that snaps to data points.
+
+Faster cursoring is possible using native GUI drawing, as in
+:doc:`/gallery/user_interfaces/wxcursor_demo_sgskip`.
+
+The mpldatacursor__ and mplcursors__ third-party packages can be used to
+achieve a similar effect.
+
+__ https://github.com/joferkington/mpldatacursor
+__ https://github.com/anntzer/mplcursors
+
+.. redirect-from:: /gallery/misc/cursor_demo
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.backend_bases import MouseEvent
+
+
+class Cursor:
+    """
+    A cross hair cursor.
+    """
+    def __init__(self, ax):
+        self.ax = ax
+        self.horizontal_line = ax.axhline(color='k', lw=0.8, ls='--')
+        self.vertical_line = ax.axvline(color='k', lw=0.8, ls='--')
+        # text location in axes coordinates
+        self.text = ax.text(0.72, 0.9, '', transform=ax.transAxes)
+
+    def set_cross_hair_visible(self, visible):
+        need_redraw = self.horizontal_line.get_visible() != visible
+        self.horizontal_line.set_visible(visible)
+        self.vertical_line.set_visible(visible)
+        self.text.set_visible(visible)
+        return need_redraw
+
+    def on_mouse_move(self, event):
+        if not event.inaxes:
+            need_redraw = self.set_cross_hair_visible(False)
+            if need_redraw:
+                self.ax.figure.canvas.draw()
+        else:
+            self.set_cross_hair_visible(True)
+            x, y = event.xdata, event.ydata
+            # update the line positions
+            self.horizontal_line.set_ydata([y])
+            self.vertical_line.set_xdata([x])
+            self.text.set_text(f'x={x:1.2f}, y={y:1.2f}')
+            self.ax.figure.canvas.draw()
+
+
+x = np.arange(0, 1, 0.01)
+y = np.sin(2 * 2 * np.pi * x)
+
+fig, ax = plt.subplots()
+ax.set_title('Simple cursor')
+ax.plot(x, y, 'o')
+cursor = Cursor(ax)
+fig.canvas.mpl_connect('motion_notify_event', cursor.on_mouse_move)
+
+# Simulate a mouse move to (0.5, 0.5), needed for online docs
+t = ax.transData
+MouseEvent(
+    "motion_notify_event", ax.figure.canvas, *t.transform((0.5, 0.5))
+)._process()
+
+# %%
+# Faster redrawing using blitting
+# """""""""""""""""""""""""""""""
+# This technique stores the rendered plot as a background image. Only the
+# changed artists (cross-hair lines and text) are rendered anew. They are
+# combined with the background using blitting.
+#
+# This technique is significantly faster. It requires a bit more setup because
+# the background has to be stored without the cross-hair lines (see
+# ``create_new_background()``). Additionally, a new background has to be
+# created whenever the figure changes. This is achieved by connecting to the
+# ``'draw_event'``.
+
+
+class BlittedCursor:
+    """
+    A cross-hair cursor using blitting for faster redraw.
+    """
+    def __init__(self, ax):
+        self.ax = ax
+        self.background = None
+        self.horizontal_line = ax.axhline(color='k', lw=0.8, ls='--')
+        self.vertical_line = ax.axvline(color='k', lw=0.8, ls='--')
+        # text location in axes coordinates
+        self.text = ax.text(0.72, 0.9, '', transform=ax.transAxes)
+        self._creating_background = False
+        ax.figure.canvas.mpl_connect('draw_event', self.on_draw)
+
+    def on_draw(self, event):
+        self.create_new_background()
+
+    def set_cross_hair_visible(self, visible):
+        need_redraw = self.horizontal_line.get_visible() != visible
+        self.horizontal_line.set_visible(visible)
+        self.vertical_line.set_visible(visible)
+        self.text.set_visible(visible)
+        return need_redraw
+
+    def create_new_background(self):
+        if self._creating_background:
+            # discard calls triggered from within this function
+            return
+        self._creating_background = True
+        self.set_cross_hair_visible(False)
+        self.ax.figure.canvas.draw()
+        self.background = self.ax.figure.canvas.copy_from_bbox(self.ax.bbox)
+        self.set_cross_hair_visible(True)
+        self._creating_background = False
+
+    def on_mouse_move(self, event):
+        if self.background is None:
+            self.create_new_background()
+        if not event.inaxes:
+            need_redraw = self.set_cross_hair_visible(False)
+            if need_redraw:
+                self.ax.figure.canvas.restore_region(self.background)
+                self.ax.figure.canvas.blit(self.ax.bbox)
+        else:
+            self.set_cross_hair_visible(True)
+            # update the line positions
+            x, y = event.xdata, event.ydata
+            self.horizontal_line.set_ydata([y])
+            self.vertical_line.set_xdata([x])
+            self.text.set_text(f'x={x:1.2f}, y={y:1.2f}')
+
+            self.ax.figure.canvas.restore_region(self.background)
+            self.ax.draw_artist(self.horizontal_line)
+            self.ax.draw_artist(self.vertical_line)
+            self.ax.draw_artist(self.text)
+            self.ax.figure.canvas.blit(self.ax.bbox)
+
+
+x = np.arange(0, 1, 0.01)
+y = np.sin(2 * 2 * np.pi * x)
+
+fig, ax = plt.subplots()
+ax.set_title('Blitted cursor')
+ax.plot(x, y, 'o')
+blitted_cursor = BlittedCursor(ax)
+fig.canvas.mpl_connect('motion_notify_event', blitted_cursor.on_mouse_move)
+
+# Simulate a mouse move to (0.5, 0.5), needed for online docs
+t = ax.transData
+MouseEvent(
+    "motion_notify_event", ax.figure.canvas, *t.transform((0.5, 0.5))
+)._process()
+
+# %%
+# Snapping to data points
+# """""""""""""""""""""""
+# The following cursor snaps its position to the data points of a `.Line2D`
+# object.
+#
+# To save unnecessary redraws, the index of the last indicated data point is
+# saved in ``self._last_index``. A redraw is only triggered when the mouse
+# moves far enough so that another data point must be selected. This reduces
+# the lag due to many redraws. Of course, blitting could still be added on top
+# for additional speedup.
+
+
+class SnappingCursor:
+    """
+    A cross-hair cursor that snaps to the data point of a line, which is
+    closest to the *x* position of the cursor.
+
+    For simplicity, this assumes that *x* values of the data are sorted.
+    """
+    def __init__(self, ax, line):
+        self.ax = ax
+        self.horizontal_line = ax.axhline(color='k', lw=0.8, ls='--')
+        self.vertical_line = ax.axvline(color='k', lw=0.8, ls='--')
+        self.x, self.y = line.get_data()
+        self._last_index = None
+        # text location in axes coords
+        self.text = ax.text(0.72, 0.9, '', transform=ax.transAxes)
+
+    def set_cross_hair_visible(self, visible):
+        need_redraw = self.horizontal_line.get_visible() != visible
+        self.horizontal_line.set_visible(visible)
+        self.vertical_line.set_visible(visible)
+        self.text.set_visible(visible)
+        return need_redraw
+
+    def on_mouse_move(self, event):
+        if not event.inaxes:
+            self._last_index = None
+            need_redraw = self.set_cross_hair_visible(False)
+            if need_redraw:
+                self.ax.figure.canvas.draw()
+        else:
+            self.set_cross_hair_visible(True)
+            x, y = event.xdata, event.ydata
+            index = min(np.searchsorted(self.x, x), len(self.x) - 1)
+            if index == self._last_index:
+                return  # still on the same data point. Nothing to do.
+            self._last_index = index
+            x = self.x[index]
+            y = self.y[index]
+            # update the line positions
+            self.horizontal_line.set_ydata([y])
+            self.vertical_line.set_xdata([x])
+            self.text.set_text(f'x={x:1.2f}, y={y:1.2f}')
+            self.ax.figure.canvas.draw()
+
+
+x = np.arange(0, 1, 0.01)
+y = np.sin(2 * 2 * np.pi * x)
+
+fig, ax = plt.subplots()
+ax.set_title('Snapping cursor')
+line, = ax.plot(x, y, 'o')
+snap_cursor = SnappingCursor(ax, line)
+fig.canvas.mpl_connect('motion_notify_event', snap_cursor.on_mouse_move)
+
+# Simulate a mouse move to (0.5, 0.5), needed for online docs
+t = ax.transData
+MouseEvent(
+    "motion_notify_event", ax.figure.canvas, *t.transform((0.5, 0.5))
+)._process()
+
+plt.show()
diff --git a/galleries/examples/event_handling/data_browser.py b/galleries/examples/event_handling/data_browser.py
new file mode 100644
index 000000000000..3d2dfeddc3a3
--- /dev/null
+++ b/galleries/examples/event_handling/data_browser.py
@@ -0,0 +1,110 @@
+"""
+============
+Data browser
+============
+
+Connecting data between multiple canvases.
+
+This example covers how to interact data with multiple canvases. This
+lets you select and highlight a point on one axis, and generating the
+data of that point on the other axis.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import numpy as np
+
+
+class PointBrowser:
+    """
+    Click on a point to select and highlight it -- the data that
+    generated the point will be shown in the lower Axes.  Use the 'n'
+    and 'p' keys to browse through the next and previous points
+    """
+
+    def __init__(self):
+        self.lastind = 0
+
+        self.text = ax.text(0.05, 0.95, 'selected: none',
+                            transform=ax.transAxes, va='top')
+        self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
+                                 color='yellow', visible=False)
+
+    def on_press(self, event):
+        if self.lastind is None:
+            return
+        if event.key not in ('n', 'p'):
+            return
+        if event.key == 'n':
+            inc = 1
+        else:
+            inc = -1
+
+        self.lastind += inc
+        self.lastind = np.clip(self.lastind, 0, len(xs) - 1)
+        self.update()
+
+    def on_pick(self, event):
+
+        if event.artist != line:
+            return True
+
+        N = len(event.ind)
+        if not N:
+            return True
+
+        # the click locations
+        x = event.mouseevent.xdata
+        y = event.mouseevent.ydata
+
+        distances = np.hypot(x - xs[event.ind], y - ys[event.ind])
+        indmin = distances.argmin()
+        dataind = event.ind[indmin]
+
+        self.lastind = dataind
+        self.update()
+
+    def update(self):
+        if self.lastind is None:
+            return
+
+        dataind = self.lastind
+
+        ax2.clear()
+        ax2.plot(X[dataind])
+
+        ax2.text(0.05, 0.9, f'mu={xs[dataind]:1.3f}\nsigma={ys[dataind]:1.3f}',
+                 transform=ax2.transAxes, va='top')
+        ax2.set_ylim(-0.5, 1.5)
+        self.selected.set_visible(True)
+        self.selected.set_data([xs[dataind]], [ys[dataind]])
+
+        self.text.set_text('selected: %d' % dataind)
+        fig.canvas.draw()
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    # Fixing random state for reproducibility
+    np.random.seed(19680801)
+
+    X = np.random.rand(100, 200)
+    xs = np.mean(X, axis=1)
+    ys = np.std(X, axis=1)
+
+    fig, (ax, ax2) = plt.subplots(2, 1)
+    ax.set_title('click on point to plot time series')
+    line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)
+
+    browser = PointBrowser()
+
+    fig.canvas.mpl_connect('pick_event', browser.on_pick)
+    fig.canvas.mpl_connect('key_press_event', browser.on_press)
+
+    plt.show()
diff --git a/galleries/examples/event_handling/figure_axes_enter_leave.py b/galleries/examples/event_handling/figure_axes_enter_leave.py
new file mode 100644
index 000000000000..0793f2901585
--- /dev/null
+++ b/galleries/examples/event_handling/figure_axes_enter_leave.py
@@ -0,0 +1,52 @@
+"""
+==================================
+Figure/Axes enter and leave events
+==================================
+
+Illustrate the figure and Axes enter and leave events by changing the
+frame colors on enter and leave.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import matplotlib.pyplot as plt
+
+
+def on_enter_axes(event):
+    print('enter_axes', event.inaxes)
+    event.inaxes.patch.set_facecolor('yellow')
+    event.canvas.draw()
+
+
+def on_leave_axes(event):
+    print('leave_axes', event.inaxes)
+    event.inaxes.patch.set_facecolor('white')
+    event.canvas.draw()
+
+
+def on_enter_figure(event):
+    print('enter_figure', event.canvas.figure)
+    event.canvas.figure.patch.set_facecolor('red')
+    event.canvas.draw()
+
+
+def on_leave_figure(event):
+    print('leave_figure', event.canvas.figure)
+    event.canvas.figure.patch.set_facecolor('grey')
+    event.canvas.draw()
+
+
+fig, axs = plt.subplots(2, 1)
+fig.suptitle('mouse hover over figure or Axes to trigger events')
+
+fig.canvas.mpl_connect('figure_enter_event', on_enter_figure)
+fig.canvas.mpl_connect('figure_leave_event', on_leave_figure)
+fig.canvas.mpl_connect('axes_enter_event', on_enter_axes)
+fig.canvas.mpl_connect('axes_leave_event', on_leave_axes)
+
+plt.show()
diff --git a/galleries/examples/event_handling/ginput_manual_clabel_sgskip.py b/galleries/examples/event_handling/ginput_manual_clabel_sgskip.py
new file mode 100644
index 000000000000..a4f4f670f620
--- /dev/null
+++ b/galleries/examples/event_handling/ginput_manual_clabel_sgskip.py
@@ -0,0 +1,100 @@
+"""
+=====================
+Interactive functions
+=====================
+
+This provides examples of uses of interactive functions, such as ginput,
+waitforbuttonpress and manual clabel placement.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def tellme(s):
+    print(s)
+    plt.title(s, fontsize=16)
+    plt.draw()
+
+# %%
+# Define a triangle by clicking three points
+
+
+plt.figure()
+plt.xlim(0, 1)
+plt.ylim(0, 1)
+
+tellme('You will define a triangle, click to begin')
+
+plt.waitforbuttonpress()
+
+while True:
+    pts = []
+    while len(pts) < 3:
+        tellme('Select 3 corners with mouse')
+        pts = np.asarray(plt.ginput(3, timeout=-1))
+        if len(pts) < 3:
+            tellme('Too few points, starting over')
+            time.sleep(1)  # Wait a second
+
+    ph = plt.fill(pts[:, 0], pts[:, 1], 'r', lw=2)
+
+    tellme('Happy? Key click for yes, mouse click for no')
+
+    if plt.waitforbuttonpress():
+        break
+
+    # Get rid of fill
+    for p in ph:
+        p.remove()
+
+
+# %%
+# Now contour according to distance from triangle
+# corners - just an example
+
+# Define a nice function of distance from individual pts
+def f(x, y, pts):
+    z = np.zeros_like(x)
+    for p in pts:
+        z = z + 1/(np.sqrt((x - p[0])**2 + (y - p[1])**2))
+    return 1/z
+
+
+X, Y = np.meshgrid(np.linspace(-1, 1, 51), np.linspace(-1, 1, 51))
+Z = f(X, Y, pts)
+
+CS = plt.contour(X, Y, Z, 20)
+
+tellme('Use mouse to select contour label locations, middle button to finish')
+CL = plt.clabel(CS, manual=True)
+
+# %%
+# Now do a zoom
+
+tellme('Now do a nested zoom, click to begin')
+plt.waitforbuttonpress()
+
+while True:
+    tellme('Select two corners of zoom, middle mouse button to finish')
+    pts = plt.ginput(2, timeout=-1)
+    if len(pts) < 2:
+        break
+    (x0, y0), (x1, y1) = pts
+    xmin, xmax = sorted([x0, x1])
+    ymin, ymax = sorted([y0, y1])
+    plt.xlim(xmin, xmax)
+    plt.ylim(ymin, ymax)
+
+tellme('All Done!')
+plt.show()
diff --git a/galleries/examples/event_handling/image_slices_viewer.py b/galleries/examples/event_handling/image_slices_viewer.py
new file mode 100644
index 000000000000..a9abe8070b64
--- /dev/null
+++ b/galleries/examples/event_handling/image_slices_viewer.py
@@ -0,0 +1,53 @@
+"""
+============
+Scroll event
+============
+
+In this example a scroll wheel event is used to scroll through 2D slices of
+3D data.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+class IndexTracker:
+    def __init__(self, ax, X):
+        self.index = 0
+        self.X = X
+        self.ax = ax
+        self.im = ax.imshow(self.X[:, :, self.index])
+        self.update()
+
+    def on_scroll(self, event):
+        print(event.button, event.step)
+        increment = 1 if event.button == 'up' else -1
+        max_index = self.X.shape[-1] - 1
+        self.index = np.clip(self.index + increment, 0, max_index)
+        self.update()
+
+    def update(self):
+        self.im.set_data(self.X[:, :, self.index])
+        self.ax.set_title(
+            f'Use scroll wheel to navigate\nindex {self.index}')
+        self.im.axes.figure.canvas.draw()
+
+
+x, y, z = np.ogrid[-10:10:100j, -10:10:100j, 1:10:20j]
+X = np.sin(x * y * z) / (x * y * z)
+
+fig, ax = plt.subplots()
+# create an IndexTracker and make sure it lives during the whole
+# lifetime of the figure by assigning it to a variable
+tracker = IndexTracker(ax, X)
+
+fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
+plt.show()
diff --git a/galleries/examples/event_handling/keypress_demo.py b/galleries/examples/event_handling/keypress_demo.py
new file mode 100644
index 000000000000..6342e113d241
--- /dev/null
+++ b/galleries/examples/event_handling/keypress_demo.py
@@ -0,0 +1,41 @@
+"""
+==============
+Keypress event
+==============
+
+Show how to connect to keypress events.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import sys
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def on_press(event):
+    print('press', event.key)
+    sys.stdout.flush()
+    if event.key == 'x':
+        visible = xl.get_visible()
+        xl.set_visible(not visible)
+        fig.canvas.draw()
+
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+
+fig.canvas.mpl_connect('key_press_event', on_press)
+
+ax.plot(np.random.rand(12), np.random.rand(12), 'go')
+xl = ax.set_xlabel('easy come, easy go')
+ax.set_title('Press a key')
+plt.show()
diff --git a/galleries/examples/event_handling/lasso_demo.py b/galleries/examples/event_handling/lasso_demo.py
new file mode 100644
index 000000000000..ed493a289993
--- /dev/null
+++ b/galleries/examples/event_handling/lasso_demo.py
@@ -0,0 +1,66 @@
+"""
+==========
+Lasso Demo
+==========
+
+Use a lasso to select a set of points and get the indices of the selected points.
+A callback is used to change the color of the selected points.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import colors as mcolors
+from matplotlib import path
+from matplotlib.collections import RegularPolyCollection
+from matplotlib.widgets import Lasso
+
+
+class LassoManager:
+    def __init__(self, ax, data):
+        # The information of whether a point has been selected or not is stored in the
+        # collection's array (0 = out, 1 = in), which then gets colormapped to blue
+        # (out) and red (in).
+        self.collection = RegularPolyCollection(
+            6, sizes=(100,), offset_transform=ax.transData,
+            offsets=data, array=np.zeros(len(data)),
+            clim=(0, 1), cmap=mcolors.ListedColormap(["tab:blue", "tab:red"]))
+        ax.add_collection(self.collection)
+        canvas = ax.figure.canvas
+        canvas.mpl_connect('button_press_event', self.on_press)
+        canvas.mpl_connect('button_release_event', self.on_release)
+
+    def callback(self, verts):
+        data = self.collection.get_offsets()
+        self.collection.set_array(path.Path(verts).contains_points(data))
+        canvas = self.collection.figure.canvas
+        canvas.draw_idle()
+        del self.lasso
+
+    def on_press(self, event):
+        canvas = self.collection.figure.canvas
+        if event.inaxes is not self.collection.axes or canvas.widgetlock.locked():
+            return
+        self.lasso = Lasso(event.inaxes, (event.xdata, event.ydata), self.callback)
+        canvas.widgetlock(self.lasso)  # acquire a lock on the widget drawing
+
+    def on_release(self, event):
+        canvas = self.collection.figure.canvas
+        if hasattr(self, 'lasso') and canvas.widgetlock.isowner(self.lasso):
+            canvas.widgetlock.release(self.lasso)
+
+
+if __name__ == '__main__':
+    np.random.seed(19680801)
+    ax = plt.figure().add_subplot(
+        xlim=(0, 1), ylim=(0, 1), title='Lasso points using left mouse button')
+    manager = LassoManager(ax, np.random.rand(100, 2))
+    plt.show()
diff --git a/galleries/examples/event_handling/legend_picking.py b/galleries/examples/event_handling/legend_picking.py
new file mode 100644
index 000000000000..2fed3c9c1649
--- /dev/null
+++ b/galleries/examples/event_handling/legend_picking.py
@@ -0,0 +1,63 @@
+"""
+==============
+Legend picking
+==============
+
+Enable picking on the legend to toggle the original line on and off
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.linspace(0, 1)
+y1 = 2 * np.sin(2 * np.pi * t)
+y2 = 4 * np.sin(2 * np.pi * 2 * t)
+
+fig, ax = plt.subplots()
+ax.set_title('Click on legend line to toggle line on/off')
+(line1, ) = ax.plot(t, y1, lw=2, label='1 Hz')
+(line2, ) = ax.plot(t, y2, lw=2, label='2 Hz')
+leg = ax.legend(fancybox=True, shadow=True)
+
+lines = [line1, line2]
+map_legend_to_ax = {}  # Will map legend lines to original lines.
+
+pickradius = 5  # Points (Pt). How close the click needs to be to trigger an event.
+
+for legend_line, ax_line in zip(leg.get_lines(), lines):
+    legend_line.set_picker(pickradius)  # Enable picking on the legend line.
+    map_legend_to_ax[legend_line] = ax_line
+
+
+def on_pick(event):
+    # On the pick event, find the original line corresponding to the legend
+    # proxy line, and toggle its visibility.
+    legend_line = event.artist
+
+    # Do nothing if the source of the event is not a legend line.
+    if legend_line not in map_legend_to_ax:
+        return
+
+    ax_line = map_legend_to_ax[legend_line]
+    visible = not ax_line.get_visible()
+    ax_line.set_visible(visible)
+    # Change the alpha on the line in the legend, so we can see what lines
+    # have been toggled.
+    legend_line.set_alpha(1.0 if visible else 0.2)
+    fig.canvas.draw()
+
+
+fig.canvas.mpl_connect('pick_event', on_pick)
+
+# Works even if the legend is draggable. This is independent from picking legend lines.
+leg.set_draggable(True)
+
+plt.show()
diff --git a/galleries/examples/event_handling/looking_glass.py b/galleries/examples/event_handling/looking_glass.py
new file mode 100644
index 000000000000..a2a5f396c75a
--- /dev/null
+++ b/galleries/examples/event_handling/looking_glass.py
@@ -0,0 +1,68 @@
+"""
+=============
+Looking glass
+=============
+
+Example using mouse events to simulate a looking glass for inspecting data.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as patches
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x, y = np.random.rand(2, 200)
+
+fig, ax = plt.subplots()
+circ = patches.Circle((0.5, 0.5), 0.25, alpha=0.8, fc='yellow')
+ax.add_patch(circ)
+
+
+ax.plot(x, y, alpha=0.2)
+line, = ax.plot(x, y, alpha=1.0, clip_path=circ)
+ax.set_title("Left click and drag to move looking glass")
+
+
+class EventHandler:
+    def __init__(self):
+        fig.canvas.mpl_connect('button_press_event', self.on_press)
+        fig.canvas.mpl_connect('button_release_event', self.on_release)
+        fig.canvas.mpl_connect('motion_notify_event', self.on_move)
+        self.x0, self.y0 = circ.center
+        self.pressevent = None
+
+    def on_press(self, event):
+        if event.inaxes != ax:
+            return
+
+        if not circ.contains(event)[0]:
+            return
+
+        self.pressevent = event
+
+    def on_release(self, event):
+        self.pressevent = None
+        self.x0, self.y0 = circ.center
+
+    def on_move(self, event):
+        if self.pressevent is None or event.inaxes != self.pressevent.inaxes:
+            return
+
+        dx = event.xdata - self.pressevent.xdata
+        dy = event.ydata - self.pressevent.ydata
+        circ.center = self.x0 + dx, self.y0 + dy
+        line.set_clip_path(circ)
+        fig.canvas.draw()
+
+handler = EventHandler()
+plt.show()
diff --git a/galleries/examples/event_handling/path_editor.py b/galleries/examples/event_handling/path_editor.py
new file mode 100644
index 000000000000..2af54bad53ed
--- /dev/null
+++ b/galleries/examples/event_handling/path_editor.py
@@ -0,0 +1,148 @@
+"""
+===========
+Path editor
+===========
+
+Sharing events across GUIs.
+
+This example demonstrates a cross-GUI application using Matplotlib event
+handling to interact with and modify objects on the canvas.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.backend_bases import MouseButton
+from matplotlib.patches import PathPatch
+from matplotlib.path import Path
+
+fig, ax = plt.subplots()
+
+pathdata = [
+    (Path.MOVETO, (1.58, -2.57)),
+    (Path.CURVE4, (0.35, -1.1)),
+    (Path.CURVE4, (-1.75, 2.0)),
+    (Path.CURVE4, (0.375, 2.0)),
+    (Path.LINETO, (0.85, 1.15)),
+    (Path.CURVE4, (2.2, 3.2)),
+    (Path.CURVE4, (3, 0.05)),
+    (Path.CURVE4, (2.0, -0.5)),
+    (Path.CLOSEPOLY, (1.58, -2.57)),
+]
+
+codes, verts = zip(*pathdata)
+path = Path(verts, codes)
+patch = PathPatch(
+    path, facecolor='green', edgecolor='yellow', alpha=0.5)
+ax.add_patch(patch)
+
+
+class PathInteractor:
+    """
+    A path editor.
+
+    Press 't' to toggle vertex markers on and off.  When vertex markers are on,
+    they can be dragged with the mouse.
+    """
+
+    showverts = True
+    epsilon = 5  # max pixel distance to count as a vertex hit
+
+    def __init__(self, pathpatch):
+
+        self.ax = pathpatch.axes
+        canvas = self.ax.figure.canvas
+        self.pathpatch = pathpatch
+        self.pathpatch.set_animated(True)
+
+        x, y = zip(*self.pathpatch.get_path().vertices)
+
+        self.line, = ax.plot(
+            x, y, marker='o', markerfacecolor='r', animated=True)
+
+        self._ind = None  # the active vertex
+
+        canvas.mpl_connect('draw_event', self.on_draw)
+        canvas.mpl_connect('button_press_event', self.on_button_press)
+        canvas.mpl_connect('key_press_event', self.on_key_press)
+        canvas.mpl_connect('button_release_event', self.on_button_release)
+        canvas.mpl_connect('motion_notify_event', self.on_mouse_move)
+        self.canvas = canvas
+
+    def get_ind_under_point(self, event):
+        """
+        Return the index of the point closest to the event position or *None*
+        if no point is within ``self.epsilon`` to the event position.
+        """
+        xy = self.pathpatch.get_path().vertices
+        xyt = self.pathpatch.get_transform().transform(xy)  # to display coords
+        xt, yt = xyt[:, 0], xyt[:, 1]
+        d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2)
+        ind = d.argmin()
+        return ind if d[ind] < self.epsilon else None
+
+    def on_draw(self, event):
+        """Callback for draws."""
+        self.background = self.canvas.copy_from_bbox(self.ax.bbox)
+        self.ax.draw_artist(self.pathpatch)
+        self.ax.draw_artist(self.line)
+
+    def on_button_press(self, event):
+        """Callback for mouse button presses."""
+        if (event.inaxes is None
+                or event.button != MouseButton.LEFT
+                or not self.showverts):
+            return
+        self._ind = self.get_ind_under_point(event)
+
+    def on_button_release(self, event):
+        """Callback for mouse button releases."""
+        if (event.button != MouseButton.LEFT
+                or not self.showverts):
+            return
+        self._ind = None
+
+    def on_key_press(self, event):
+        """Callback for key presses."""
+        if not event.inaxes:
+            return
+        if event.key == 't':
+            self.showverts = not self.showverts
+            self.line.set_visible(self.showverts)
+            if not self.showverts:
+                self._ind = None
+        self.canvas.draw()
+
+    def on_mouse_move(self, event):
+        """Callback for mouse movements."""
+        if (self._ind is None
+                or event.inaxes is None
+                or event.button != MouseButton.LEFT
+                or not self.showverts):
+            return
+
+        vertices = self.pathpatch.get_path().vertices
+
+        vertices[self._ind] = event.xdata, event.ydata
+        self.line.set_data(zip(*vertices))
+
+        self.canvas.restore_region(self.background)
+        self.ax.draw_artist(self.pathpatch)
+        self.ax.draw_artist(self.line)
+        self.canvas.blit(self.ax.bbox)
+
+
+interactor = PathInteractor(patch)
+ax.set_title('drag vertices to update path')
+ax.set_xlim(-3, 4)
+ax.set_ylim(-3, 4)
+
+plt.show()
diff --git a/galleries/examples/event_handling/pick_event_demo.py b/galleries/examples/event_handling/pick_event_demo.py
new file mode 100644
index 000000000000..163aaf923d77
--- /dev/null
+++ b/galleries/examples/event_handling/pick_event_demo.py
@@ -0,0 +1,208 @@
+"""
+===============
+Pick event demo
+===============
+
+You can enable picking by setting the "picker" property of an artist
+(for example, a Matplotlib Line2D, Text, Patch, Polygon, AxesImage,
+etc.)
+
+There are a variety of meanings of the picker property:
+
+* *None* - picking is disabled for this artist (default)
+
+* bool - if *True* then picking will be enabled and the artist will fire a pick
+  event if the mouse event is over the artist.
+
+  Setting ``pickradius`` will add an epsilon tolerance in points and the artist
+  will fire off an event if its data is within epsilon of the mouse event.  For
+  some artists like lines and patch collections, the artist may provide
+  additional data to the pick event that is generated, for example, the indices
+  of the data within epsilon of the pick event
+
+* function - if picker is callable, it is a user supplied function which
+  determines whether the artist is hit by the mouse event. ::
+
+     hit, props = picker(artist, mouseevent)
+
+  to determine the hit test.  If the mouse event is over the artist, return
+  hit=True and props is a dictionary of properties you want added to the
+  PickEvent attributes.
+
+After you have enabled an artist for picking by setting the "picker"
+property, you need to connect to the figure canvas pick_event to get
+pick callbacks on mouse press events.  For example, ::
+
+  def pick_handler(event):
+      mouseevent = event.mouseevent
+      artist = event.artist
+      # now do something with this...
+
+
+The pick event (matplotlib.backend_bases.PickEvent) which is passed to
+your callback is always fired with two attributes:
+
+mouseevent
+  the mouse event that generate the pick event.
+
+  The mouse event in turn has attributes like x and y (the coordinates in
+  display space, such as pixels from left, bottom) and xdata, ydata (the
+  coords in data space).  Additionally, you can get information about
+  which buttons were pressed, which keys were pressed, which Axes
+  the mouse is over, etc.  See matplotlib.backend_bases.MouseEvent
+  for details.
+
+artist
+  the matplotlib.artist that generated the pick event.
+
+Additionally, certain artists like Line2D and PatchCollection may
+attach additional metadata like the indices into the data that meet
+the picker criteria (for example, all the points in the line that are within
+the specified epsilon tolerance)
+
+The examples below illustrate each of these methods.
+
+.. note::
+    These examples exercises the interactive capabilities of Matplotlib, and
+    this will not appear in the static documentation. Please run this code on
+    your machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+from numpy.random import rand
+
+from matplotlib.image import AxesImage
+from matplotlib.lines import Line2D
+from matplotlib.patches import Rectangle
+from matplotlib.text import Text
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+# %%
+# Simple picking, lines, rectangles and text
+# ------------------------------------------
+
+fig, (ax1, ax2) = plt.subplots(2, 1)
+ax1.set_title('click on points, rectangles or text', picker=True)
+ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
+line, = ax1.plot(rand(100), 'o', picker=True, pickradius=5)
+
+# Pick the rectangle.
+ax2.bar(range(10), rand(10), picker=True)
+for label in ax2.get_xticklabels():  # Make the xtick labels pickable.
+    label.set_picker(True)
+
+
+def onpick1(event):
+    if isinstance(event.artist, Line2D):
+        thisline = event.artist
+        xdata = thisline.get_xdata()
+        ydata = thisline.get_ydata()
+        ind = event.ind
+        print('onpick1 line:', np.column_stack([xdata[ind], ydata[ind]]))
+    elif isinstance(event.artist, Rectangle):
+        patch = event.artist
+        print('onpick1 patch:', patch.get_path())
+    elif isinstance(event.artist, Text):
+        text = event.artist
+        print('onpick1 text:', text.get_text())
+
+
+fig.canvas.mpl_connect('pick_event', onpick1)
+
+
+# %%
+# Picking with a custom hit test function
+# ---------------------------------------
+# You can define custom pickers by setting picker to a callable function. The
+# function has the signature::
+#
+#  hit, props = func(artist, mouseevent)
+#
+# to determine the hit test. If the mouse event is over the artist, return
+# ``hit=True`` and ``props`` is a dictionary of properties you want added to
+# the `.PickEvent` attributes.
+
+def line_picker(line, mouseevent):
+    """
+    Find the points within a certain distance from the mouseclick in
+    data coords and attach some extra attributes, pickx and picky
+    which are the data points that were picked.
+    """
+    if mouseevent.xdata is None:
+        return False, dict()
+    xdata = line.get_xdata()
+    ydata = line.get_ydata()
+    maxd = 0.05
+    d = np.sqrt(
+        (xdata - mouseevent.xdata)**2 + (ydata - mouseevent.ydata)**2)
+
+    ind, = np.nonzero(d <= maxd)
+    if len(ind):
+        pickx = xdata[ind]
+        picky = ydata[ind]
+        props = dict(ind=ind, pickx=pickx, picky=picky)
+        return True, props
+    else:
+        return False, dict()
+
+
+def onpick2(event):
+    print('onpick2 line:', event.pickx, event.picky)
+
+
+fig, ax = plt.subplots()
+ax.set_title('custom picker for line data')
+line, = ax.plot(rand(100), rand(100), 'o', picker=line_picker)
+fig.canvas.mpl_connect('pick_event', onpick2)
+
+
+# %%
+# Picking on a scatter plot
+# -------------------------
+# A scatter plot is backed by a `~matplotlib.collections.PathCollection`.
+
+x, y, c, s = rand(4, 100)
+
+
+def onpick3(event):
+    ind = event.ind
+    print('onpick3 scatter:', ind, x[ind], y[ind])
+
+
+fig, ax = plt.subplots()
+ax.scatter(x, y, 100*s, c, picker=True)
+fig.canvas.mpl_connect('pick_event', onpick3)
+
+
+# %%
+# Picking images
+# --------------
+# Images plotted using `.Axes.imshow` are `~matplotlib.image.AxesImage`
+# objects.
+
+fig, ax = plt.subplots()
+ax.imshow(rand(10, 5), extent=(1, 2, 1, 2), picker=True)
+ax.imshow(rand(5, 10), extent=(3, 4, 1, 2), picker=True)
+ax.imshow(rand(20, 25), extent=(1, 2, 3, 4), picker=True)
+ax.imshow(rand(30, 12), extent=(3, 4, 3, 4), picker=True)
+ax.set(xlim=(0, 5), ylim=(0, 5))
+
+
+def onpick4(event):
+    artist = event.artist
+    if isinstance(artist, AxesImage):
+        im = artist
+        A = im.get_array()
+        print('onpick4 image', A.shape)
+
+
+fig.canvas.mpl_connect('pick_event', onpick4)
+
+plt.show()
diff --git a/galleries/examples/event_handling/pick_event_demo2.py b/galleries/examples/event_handling/pick_event_demo2.py
new file mode 100644
index 000000000000..5efaecb0d341
--- /dev/null
+++ b/galleries/examples/event_handling/pick_event_demo2.py
@@ -0,0 +1,53 @@
+"""
+=================
+Pick event demo 2
+=================
+
+Compute the mean (mu) and standard deviation (sigma) of 100 data sets and plot
+mu vs. sigma.  When you click on one of the (mu, sigma) points, plot the raw
+data from the dataset that generated this point.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+X = np.random.rand(100, 1000)
+xs = np.mean(X, axis=1)
+ys = np.std(X, axis=1)
+
+fig, ax = plt.subplots()
+ax.set_title('click on point to plot time series')
+line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)
+
+
+def onpick(event):
+
+    if event.artist != line:
+        return
+
+    N = len(event.ind)
+    if not N:
+        return
+
+    figi, axs = plt.subplots(N, squeeze=False)
+    for ax, dataind in zip(axs.flat, event.ind):
+        ax.plot(X[dataind])
+        ax.text(.05, .9, f'mu={xs[dataind]:1.3f}\nsigma={ys[dataind]:1.3f}',
+                transform=ax.transAxes, va='top')
+        ax.set_ylim(-0.5, 1.5)
+    figi.show()
+
+
+fig.canvas.mpl_connect('pick_event', onpick)
+
+plt.show()
diff --git a/galleries/examples/event_handling/poly_editor.py b/galleries/examples/event_handling/poly_editor.py
new file mode 100644
index 000000000000..f6efd8bb8446
--- /dev/null
+++ b/galleries/examples/event_handling/poly_editor.py
@@ -0,0 +1,208 @@
+"""
+==============
+Polygon editor
+==============
+
+This is an example to show how to build cross-GUI applications using
+Matplotlib event handling to interact with objects on the canvas.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import numpy as np
+
+from matplotlib.artist import Artist
+from matplotlib.lines import Line2D
+
+
+def dist_point_to_segment(p, s0, s1):
+    """
+    Get the distance from the point *p* to the segment (*s0*, *s1*), where
+    *p*, *s0*, *s1* are ``[x, y]`` arrays.
+    """
+    s01 = s1 - s0
+    s0p = p - s0
+    if (s01 == 0).all():
+        return np.hypot(*s0p)
+    # Project onto segment, without going past segment ends.
+    p1 = s0 + np.clip((s0p @ s01) / (s01 @ s01), 0, 1) * s01
+    return np.hypot(*(p - p1))
+
+
+class PolygonInteractor:
+    """
+    A polygon editor.
+
+    Key-bindings
+
+      't' toggle vertex markers on and off.  When vertex markers are on,
+          you can move them, delete them
+
+      'd' delete the vertex under point
+
+      'i' insert a vertex at point.  You must be within epsilon of the
+          line connecting two existing vertices
+
+    """
+
+    showverts = True
+    epsilon = 5  # max pixel distance to count as a vertex hit
+
+    def __init__(self, ax, poly):
+        if poly.figure is None:
+            raise RuntimeError('You must first add the polygon to a figure '
+                               'or canvas before defining the interactor')
+        self.ax = ax
+        canvas = poly.figure.canvas
+        self.poly = poly
+
+        x, y = zip(*self.poly.xy)
+        self.line = Line2D(x, y,
+                           marker='o', markerfacecolor='r',
+                           animated=True)
+        self.ax.add_line(self.line)
+
+        self.cid = self.poly.add_callback(self.poly_changed)
+        self._ind = None  # the active vert
+
+        canvas.mpl_connect('draw_event', self.on_draw)
+        canvas.mpl_connect('button_press_event', self.on_button_press)
+        canvas.mpl_connect('key_press_event', self.on_key_press)
+        canvas.mpl_connect('button_release_event', self.on_button_release)
+        canvas.mpl_connect('motion_notify_event', self.on_mouse_move)
+        self.canvas = canvas
+
+    def on_draw(self, event):
+        self.background = self.canvas.copy_from_bbox(self.ax.bbox)
+        self.ax.draw_artist(self.poly)
+        self.ax.draw_artist(self.line)
+        # do not need to blit here, this will fire before the screen is
+        # updated
+
+    def poly_changed(self, poly):
+        """This method is called whenever the pathpatch object is called."""
+        # only copy the artist props to the line (except visibility)
+        vis = self.line.get_visible()
+        Artist.update_from(self.line, poly)
+        self.line.set_visible(vis)  # don't use the poly visibility state
+
+    def get_ind_under_point(self, event):
+        """
+        Return the index of the point closest to the event position or *None*
+        if no point is within ``self.epsilon`` to the event position.
+        """
+        # display coords
+        xy = np.asarray(self.poly.xy)
+        xyt = self.poly.get_transform().transform(xy)
+        xt, yt = xyt[:, 0], xyt[:, 1]
+        d = np.hypot(xt - event.x, yt - event.y)
+        indseq, = np.nonzero(d == d.min())
+        ind = indseq[0]
+
+        if d[ind] >= self.epsilon:
+            ind = None
+
+        return ind
+
+    def on_button_press(self, event):
+        """Callback for mouse button presses."""
+        if not self.showverts:
+            return
+        if event.inaxes is None:
+            return
+        if event.button != 1:
+            return
+        self._ind = self.get_ind_under_point(event)
+
+    def on_button_release(self, event):
+        """Callback for mouse button releases."""
+        if not self.showverts:
+            return
+        if event.button != 1:
+            return
+        self._ind = None
+
+    def on_key_press(self, event):
+        """Callback for key presses."""
+        if not event.inaxes:
+            return
+        if event.key == 't':
+            self.showverts = not self.showverts
+            self.line.set_visible(self.showverts)
+            if not self.showverts:
+                self._ind = None
+        elif event.key == 'd':
+            ind = self.get_ind_under_point(event)
+            if ind is not None:
+                self.poly.xy = np.delete(self.poly.xy,
+                                         ind, axis=0)
+                self.line.set_data(zip(*self.poly.xy))
+        elif event.key == 'i':
+            xys = self.poly.get_transform().transform(self.poly.xy)
+            p = event.x, event.y  # display coords
+            for i in range(len(xys) - 1):
+                s0 = xys[i]
+                s1 = xys[i + 1]
+                d = dist_point_to_segment(p, s0, s1)
+                if d <= self.epsilon:
+                    self.poly.xy = np.insert(
+                        self.poly.xy, i+1,
+                        [event.xdata, event.ydata],
+                        axis=0)
+                    self.line.set_data(zip(*self.poly.xy))
+                    break
+        if self.line.stale:
+            self.canvas.draw_idle()
+
+    def on_mouse_move(self, event):
+        """Callback for mouse movements."""
+        if not self.showverts:
+            return
+        if self._ind is None:
+            return
+        if event.inaxes is None:
+            return
+        if event.button != 1:
+            return
+        x, y = event.xdata, event.ydata
+
+        self.poly.xy[self._ind] = x, y
+        if self._ind == 0:
+            self.poly.xy[-1] = x, y
+        elif self._ind == len(self.poly.xy) - 1:
+            self.poly.xy[0] = x, y
+        self.line.set_data(zip(*self.poly.xy))
+
+        self.canvas.restore_region(self.background)
+        self.ax.draw_artist(self.poly)
+        self.ax.draw_artist(self.line)
+        self.canvas.blit(self.ax.bbox)
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    from matplotlib.patches import Polygon
+
+    theta = np.arange(0, 2*np.pi, 0.1)
+    r = 1.5
+
+    xs = r * np.cos(theta)
+    ys = r * np.sin(theta)
+
+    poly = Polygon(np.column_stack([xs, ys]), animated=True)
+
+    fig, ax = plt.subplots()
+    ax.add_patch(poly)
+    p = PolygonInteractor(ax, poly)
+
+    ax.set_title('Click and drag a point to move it')
+    ax.set_xlim((-2, 2))
+    ax.set_ylim((-2, 2))
+    plt.show()
diff --git a/galleries/examples/event_handling/pong_sgskip.py b/galleries/examples/event_handling/pong_sgskip.py
new file mode 100644
index 000000000000..583e51eacdc5
--- /dev/null
+++ b/galleries/examples/event_handling/pong_sgskip.py
@@ -0,0 +1,336 @@
+"""
+====
+Pong
+====
+
+A Matplotlib based game of Pong illustrating one way to write interactive
+animations that are easily ported to multiple backends.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+from numpy.random import randint, randn
+
+from matplotlib.font_manager import FontProperties
+
+instructions = """
+Player A:       Player B:
+  'e'      up     'i'
+  'd'     down    'k'
+
+press 't' -- close these instructions
+            (animation will be much faster)
+press 'a' -- add a puck
+press 'A' -- remove a puck
+press '1' -- slow down all pucks
+press '2' -- speed up all pucks
+press '3' -- slow down distractors
+press '4' -- speed up distractors
+press ' ' -- reset the first puck
+press 'n' -- toggle distractors on/off
+press 'g' -- toggle the game on/off
+
+  """
+
+
+class Pad:
+    def __init__(self, disp, x, y, type='l'):
+        self.disp = disp
+        self.x = x
+        self.y = y
+        self.w = .3
+        self.score = 0
+        self.xoffset = 0.3
+        self.yoffset = 0.1
+        if type == 'r':
+            self.xoffset *= -1.0
+
+        if type == 'l' or type == 'r':
+            self.signx = -1.0
+            self.signy = 1.0
+        else:
+            self.signx = 1.0
+            self.signy = -1.0
+
+    def contains(self, loc):
+        return self.disp.get_bbox().contains(loc.x, loc.y)
+
+
+class Puck:
+    def __init__(self, disp, pad, field):
+        self.vmax = .2
+        self.disp = disp
+        self.field = field
+        self._reset(pad)
+
+    def _reset(self, pad):
+        self.x = pad.x + pad.xoffset
+        if pad.y < 0:
+            self.y = pad.y + pad.yoffset
+        else:
+            self.y = pad.y - pad.yoffset
+        self.vx = pad.x - self.x
+        self.vy = pad.y + pad.w/2 - self.y
+        self._speedlimit()
+        self._slower()
+        self._slower()
+
+    def update(self, pads):
+        self.x += self.vx
+        self.y += self.vy
+        for pad in pads:
+            if pad.contains(self):
+                self.vx *= 1.2 * pad.signx
+                self.vy *= 1.2 * pad.signy
+        fudge = .001
+        # probably cleaner with something like...
+        if self.x < fudge:
+            pads[1].score += 1
+            self._reset(pads[0])
+            return True
+        if self.x > 7 - fudge:
+            pads[0].score += 1
+            self._reset(pads[1])
+            return True
+        if self.y < -1 + fudge or self.y > 1 - fudge:
+            self.vy *= -1.0
+            # add some randomness, just to make it interesting
+            self.vy -= (randn()/300.0 + 1/300.0) * np.sign(self.vy)
+        self._speedlimit()
+        return False
+
+    def _slower(self):
+        self.vx /= 5.0
+        self.vy /= 5.0
+
+    def _faster(self):
+        self.vx *= 5.0
+        self.vy *= 5.0
+
+    def _speedlimit(self):
+        if self.vx > self.vmax:
+            self.vx = self.vmax
+        if self.vx < -self.vmax:
+            self.vx = -self.vmax
+
+        if self.vy > self.vmax:
+            self.vy = self.vmax
+        if self.vy < -self.vmax:
+            self.vy = -self.vmax
+
+
+class Game:
+    def __init__(self, ax):
+        # create the initial line
+        self.ax = ax
+        ax.xaxis.set_visible(False)
+        ax.set_xlim([0, 7])
+        ax.yaxis.set_visible(False)
+        ax.set_ylim([-1, 1])
+        pad_a_x = 0
+        pad_b_x = .50
+        pad_a_y = pad_b_y = .30
+        pad_b_x += 6.3
+
+        # pads
+        pA, = self.ax.barh(pad_a_y, .2,
+                           height=.3, color='k', alpha=.5, edgecolor='b',
+                           lw=2, label="Player B",
+                           animated=True)
+        pB, = self.ax.barh(pad_b_y, .2,
+                           height=.3, left=pad_b_x, color='k', alpha=.5,
+                           edgecolor='r', lw=2, label="Player A",
+                           animated=True)
+
+        # distractors
+        self.x = np.arange(0, 2.22*np.pi, 0.01)
+        self.line, = self.ax.plot(self.x, np.sin(self.x), "r",
+                                  animated=True, lw=4)
+        self.line2, = self.ax.plot(self.x, np.cos(self.x), "g",
+                                   animated=True, lw=4)
+        self.line3, = self.ax.plot(self.x, np.cos(self.x), "g",
+                                   animated=True, lw=4)
+        self.line4, = self.ax.plot(self.x, np.cos(self.x), "r",
+                                   animated=True, lw=4)
+
+        # center line
+        self.centerline, = self.ax.plot([3.5, 3.5], [1, -1], 'k',
+                                        alpha=.5, animated=True, lw=8)
+
+        # puck (s)
+        self.puckdisp = self.ax.scatter([1], [1], label='_nolegend_',
+                                        s=200, c='g',
+                                        alpha=.9, animated=True)
+
+        self.canvas = self.ax.figure.canvas
+        self.background = None
+        self.cnt = 0
+        self.distract = True
+        self.res = 100.0
+        self.on = False
+        self.inst = True    # show instructions from the beginning
+        self.pads = [Pad(pA, pad_a_x, pad_a_y),
+                     Pad(pB, pad_b_x, pad_b_y, 'r')]
+        self.pucks = []
+        self.i = self.ax.annotate(instructions, (.5, 0.5),
+                                  name='monospace',
+                                  verticalalignment='center',
+                                  horizontalalignment='center',
+                                  multialignment='left',
+                                  xycoords='axes fraction',
+                                  animated=False)
+        self.canvas.mpl_connect('key_press_event', self.on_key_press)
+
+    def draw(self):
+        draw_artist = self.ax.draw_artist
+        if self.background is None:
+            self.background = self.canvas.copy_from_bbox(self.ax.bbox)
+
+        # restore the clean slate background
+        self.canvas.restore_region(self.background)
+
+        # show the distractors
+        if self.distract:
+            self.line.set_ydata(np.sin(self.x + self.cnt/self.res))
+            self.line2.set_ydata(np.cos(self.x - self.cnt/self.res))
+            self.line3.set_ydata(np.tan(self.x + self.cnt/self.res))
+            self.line4.set_ydata(np.tan(self.x - self.cnt/self.res))
+            draw_artist(self.line)
+            draw_artist(self.line2)
+            draw_artist(self.line3)
+            draw_artist(self.line4)
+
+        # pucks and pads
+        if self.on:
+            self.ax.draw_artist(self.centerline)
+            for pad in self.pads:
+                pad.disp.set_y(pad.y)
+                pad.disp.set_x(pad.x)
+                self.ax.draw_artist(pad.disp)
+
+            for puck in self.pucks:
+                if puck.update(self.pads):
+                    # we only get here if someone scored
+                    self.pads[0].disp.set_label(f"   {self.pads[0].score}")
+                    self.pads[1].disp.set_label(f"   {self.pads[1].score}")
+                    self.ax.legend(loc='center', framealpha=.2,
+                                   facecolor='0.5',
+                                   prop=FontProperties(size='xx-large',
+                                                       weight='bold'))
+
+                    self.background = None
+                    self.ax.figure.canvas.draw_idle()
+                    return
+                puck.disp.set_offsets([[puck.x, puck.y]])
+                self.ax.draw_artist(puck.disp)
+
+        # just redraw the Axes rectangle
+        self.canvas.blit(self.ax.bbox)
+        self.canvas.flush_events()
+        if self.cnt == 50000:
+            # just so we don't get carried away
+            print("...and you've been playing for too long!!!")
+            plt.close()
+
+        self.cnt += 1
+
+    def on_key_press(self, event):
+        if event.key == '3':
+            self.res *= 5.0
+        if event.key == '4':
+            self.res /= 5.0
+
+        if event.key == 'e':
+            self.pads[0].y += .1
+            if self.pads[0].y > 1 - .3:
+                self.pads[0].y = 1 - .3
+        if event.key == 'd':
+            self.pads[0].y -= .1
+            if self.pads[0].y < -1:
+                self.pads[0].y = -1
+
+        if event.key == 'i':
+            self.pads[1].y += .1
+            if self.pads[1].y > 1 - .3:
+                self.pads[1].y = 1 - .3
+        if event.key == 'k':
+            self.pads[1].y -= .1
+            if self.pads[1].y < -1:
+                self.pads[1].y = -1
+
+        if event.key == 'a':
+            self.pucks.append(Puck(self.puckdisp,
+                                   self.pads[randint(2)],
+                                   self.ax.bbox))
+        if event.key == 'A' and len(self.pucks):
+            self.pucks.pop()
+        if event.key == ' ' and len(self.pucks):
+            self.pucks[0]._reset(self.pads[randint(2)])
+        if event.key == '1':
+            for p in self.pucks:
+                p._slower()
+        if event.key == '2':
+            for p in self.pucks:
+                p._faster()
+
+        if event.key == 'n':
+            self.distract = not self.distract
+
+        if event.key == 'g':
+            self.on = not self.on
+        if event.key == 't':
+            self.inst = not self.inst
+            self.i.set_visible(not self.i.get_visible())
+            self.background = None
+            self.canvas.draw_idle()
+        if event.key == 'q':
+            plt.close()
+
+
+fig, ax = plt.subplots()
+canvas = ax.figure.canvas
+animation = Game(ax)
+
+# disable the default key bindings
+if fig.canvas.manager.key_press_handler_id is not None:
+    canvas.mpl_disconnect(fig.canvas.manager.key_press_handler_id)
+
+
+# reset the blitting background on redraw
+def on_redraw(event):
+    animation.background = None
+
+
+# bootstrap after the first draw
+def start_anim(event):
+    canvas.mpl_disconnect(start_anim.cid)
+
+    start_anim.timer.add_callback(animation.draw)
+    start_anim.timer.start()
+    canvas.mpl_connect('draw_event', on_redraw)
+
+
+start_anim.cid = canvas.mpl_connect('draw_event', start_anim)
+start_anim.timer = animation.canvas.new_timer(interval=1)
+
+tstart = time.time()
+
+plt.show()
+print('FPS: %f' % (animation.cnt/(time.time() - tstart)))
+
+#
+# %%
+# .. tags::
+#
+#    interactivity: event-handling
+#    purpose: fun
diff --git a/galleries/examples/event_handling/resample.py b/galleries/examples/event_handling/resample.py
new file mode 100644
index 000000000000..a573552e800e
--- /dev/null
+++ b/galleries/examples/event_handling/resample.py
@@ -0,0 +1,91 @@
+"""
+===============
+Resampling Data
+===============
+
+Downsampling lowers the sample rate or sample size of a signal. In
+this tutorial, the signal is downsampled when the plot is adjusted
+through dragging and zooming.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+# A class that will downsample the data and recompute when zoomed.
+class DataDisplayDownsampler:
+    def __init__(self, xdata, y1data, y2data):
+        self.origY1Data = y1data
+        self.origY2Data = y2data
+        self.origXData = xdata
+        self.max_points = 50
+        self.delta = xdata[-1] - xdata[0]
+
+    def plot(self, ax):
+        x, y1, y2 = self._downsample(self.origXData.min(), self.origXData.max())
+        (self.line,) = ax.plot(x, y1, 'o-')
+        self.poly_collection = ax.fill_between(x, y1, y2, step="pre", color="r")
+
+    def _downsample(self, xstart, xend):
+        # get the points in the view range
+        mask = (self.origXData > xstart) & (self.origXData < xend)
+        # dilate the mask by one to catch the points just outside
+        # of the view range to not truncate the line
+        mask = np.convolve([1, 1, 1], mask, mode='same').astype(bool)
+        # sort out how many points to drop
+        ratio = max(np.sum(mask) // self.max_points, 1)
+
+        # mask data
+        xdata = self.origXData[mask]
+        y1data = self.origY1Data[mask]
+        y2data = self.origY2Data[mask]
+
+        # downsample data
+        xdata = xdata[::ratio]
+        y1data = y1data[::ratio]
+        y2data = y2data[::ratio]
+
+        print(f"using {len(y1data)} of {np.sum(mask)} visible points")
+
+        return xdata, y1data, y2data
+
+    def update(self, ax):
+        # Update the artists
+        lims = ax.viewLim
+        if abs(lims.width - self.delta) > 1e-8:
+            self.delta = lims.width
+            xstart, xend = lims.intervalx
+            x, y1, y2 = self._downsample(xstart, xend)
+            self.line.set_data(x, y1)
+            self.poly_collection.set_data(x, y1, y2, step="pre")
+            ax.figure.canvas.draw_idle()
+
+
+# Create a signal
+xdata = np.linspace(16, 365, (365-16)*4)
+y1data = np.sin(2*np.pi*xdata/153) + np.cos(2*np.pi*xdata/127)
+y2data = y1data + .2
+
+d = DataDisplayDownsampler(xdata, y1data, y2data)
+
+fig, ax = plt.subplots()
+
+# Hook up the line
+d.plot(ax)
+ax.set_autoscale_on(False)  # Otherwise, infinite loop
+
+# Connect for changing the view limits
+ax.callbacks.connect('xlim_changed', d.update)
+ax.set_xlim(16, 365)
+plt.show()
+
+# %%
+# .. tags:: interactivity: zoom, interactivity: event-handling
diff --git a/galleries/examples/event_handling/timers.py b/galleries/examples/event_handling/timers.py
new file mode 100644
index 000000000000..bf60492e353f
--- /dev/null
+++ b/galleries/examples/event_handling/timers.py
@@ -0,0 +1,44 @@
+"""
+======
+Timers
+======
+
+Simple example of using general timer objects. This is used to update
+the time placed in the title of the figure.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+from datetime import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def update_title(axes):
+    axes.set_title(datetime.now())
+    axes.figure.canvas.draw()
+
+fig, ax = plt.subplots()
+
+x = np.linspace(-3, 3)
+ax.plot(x, x ** 2)
+
+# Create a new timer object. Set the interval to 100 milliseconds
+# (1000 is default) and tell the timer what function should be called.
+timer = fig.canvas.new_timer(interval=100)
+timer.add_callback(update_title, ax)
+timer.start()
+
+# Or could start the timer on first figure draw:
+# def start_timer(event):
+#     timer.start()
+#     fig.canvas.mpl_disconnect(drawid)
+# drawid = fig.canvas.mpl_connect('draw_event', start_timer)
+
+plt.show()
diff --git a/galleries/examples/event_handling/trifinder_event_demo.py b/galleries/examples/event_handling/trifinder_event_demo.py
new file mode 100644
index 000000000000..e5b70b42724e
--- /dev/null
+++ b/galleries/examples/event_handling/trifinder_event_demo.py
@@ -0,0 +1,70 @@
+"""
+====================
+Trifinder Event Demo
+====================
+
+Example showing the use of a TriFinder object.  As the mouse is moved over the
+triangulation, the triangle under the cursor is highlighted and the index of
+the triangle is displayed in the plot title.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Polygon
+from matplotlib.tri import Triangulation
+
+
+def update_polygon(tri):
+    if tri == -1:
+        points = [0, 0, 0]
+    else:
+        points = triang.triangles[tri]
+    xs = triang.x[points]
+    ys = triang.y[points]
+    polygon.set_xy(np.column_stack([xs, ys]))
+
+
+def on_mouse_move(event):
+    if event.inaxes is None:
+        tri = -1
+    else:
+        tri = trifinder(event.xdata, event.ydata)
+    update_polygon(tri)
+    ax.set_title(f'In triangle {tri}')
+    event.canvas.draw()
+
+
+# Create a Triangulation.
+n_angles = 16
+n_radii = 5
+min_radius = 0.25
+radii = np.linspace(min_radius, 0.95, n_radii)
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+x = (radii*np.cos(angles)).flatten()
+y = (radii*np.sin(angles)).flatten()
+triang = Triangulation(x, y)
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+# Use the triangulation's default TriFinder object.
+trifinder = triang.get_trifinder()
+
+# Setup plot and callbacks.
+fig, ax = plt.subplots(subplot_kw={'aspect': 'equal'})
+ax.triplot(triang, 'bo-')
+polygon = Polygon([[0, 0], [0, 0]], facecolor='y')  # dummy data for (xs, ys)
+update_polygon(-1)
+ax.add_patch(polygon)
+fig.canvas.mpl_connect('motion_notify_event', on_mouse_move)
+plt.show()
diff --git a/galleries/examples/event_handling/viewlims.py b/galleries/examples/event_handling/viewlims.py
new file mode 100644
index 000000000000..ebc3e6de5fb8
--- /dev/null
+++ b/galleries/examples/event_handling/viewlims.py
@@ -0,0 +1,92 @@
+"""
+========
+Viewlims
+========
+
+Creates two identical panels.  Zooming in on the right panel will show
+a rectangle in the first panel, denoting the zoomed region.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import functools
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Rectangle
+
+
+# A class that will regenerate a fractal set as we zoom in, so that you
+# can actually see the increasing detail.  A box in the left panel will show
+# the area to which we are zoomed.
+class MandelbrotDisplay:
+    def __init__(self, h=500, w=500, niter=50, radius=2., power=2):
+        self.height = h
+        self.width = w
+        self.niter = niter
+        self.radius = radius
+        self.power = power
+
+    def compute_image(self, xlim, ylim):
+        self.x = np.linspace(*xlim, self.width)
+        self.y = np.linspace(*ylim, self.height).reshape(-1, 1)
+        c = self.x + 1.0j * self.y
+        threshold_time = np.zeros((self.height, self.width))
+        z = np.zeros(threshold_time.shape, dtype=complex)
+        mask = np.ones(threshold_time.shape, dtype=bool)
+        for i in range(self.niter):
+            z[mask] = z[mask]**self.power + c[mask]
+            mask = (np.abs(z) < self.radius)
+            threshold_time += mask
+        return threshold_time
+
+    def ax_update(self, ax):
+        ax.set_autoscale_on(False)  # Otherwise, infinite loop
+        # Get the number of points from the number of pixels in the window
+        self.width, self.height = ax.patch.get_window_extent().size.round().astype(int)
+        # Update the image object with our new data and extent
+        ax.images[-1].set(data=self.compute_image(ax.get_xlim(), ax.get_ylim()),
+                          extent=(*ax.get_xlim(), *ax.get_ylim()))
+        ax.figure.canvas.draw_idle()
+
+
+md = MandelbrotDisplay()
+
+fig1, (ax_full, ax_zoom) = plt.subplots(1, 2)
+ax_zoom.imshow([[0]], origin="lower")  # Empty initial image.
+ax_zoom.set_title("Zoom here")
+
+rect = Rectangle(
+    [0, 0], 0, 0, facecolor="none", edgecolor="black", linewidth=1.0)
+ax_full.add_patch(rect)
+
+
+def update_rect(rect, ax):  # Let the rectangle track the bounds of the zoom axes.
+    xlo, xhi = ax.get_xlim()
+    ylo, yhi = ax.get_ylim()
+    rect.set_bounds((xlo, ylo, xhi - xlo, yhi - ylo))
+    ax.figure.canvas.draw_idle()
+
+
+# Connect for changing the view limits.
+ax_zoom.callbacks.connect("xlim_changed", functools.partial(update_rect, rect))
+ax_zoom.callbacks.connect("ylim_changed", functools.partial(update_rect, rect))
+
+ax_zoom.callbacks.connect("xlim_changed", md.ax_update)
+ax_zoom.callbacks.connect("ylim_changed", md.ax_update)
+
+# Initialize: trigger image computation by setting view limits; set colormap limits;
+# copy image to full view.
+ax_zoom.set(xlim=(-2, .5), ylim=(-1.25, 1.25))
+im = ax_zoom.images[0]
+ax_zoom.images[0].set(clim=(im.get_array().min(), im.get_array().max()))
+ax_full.imshow(im.get_array(), extent=im.get_extent(), origin="lower")
+
+plt.show()
diff --git a/galleries/examples/event_handling/zoom_window.py b/galleries/examples/event_handling/zoom_window.py
new file mode 100644
index 000000000000..6a90a175fb68
--- /dev/null
+++ b/galleries/examples/event_handling/zoom_window.py
@@ -0,0 +1,54 @@
+"""
+========================
+Zoom modifies other Axes
+========================
+
+This example shows how to connect events in one window, for example, a mouse
+press, to another figure window.
+
+If you click on a point in the first window, the z and y limits of the second
+will be adjusted so that the center of the zoom in the second window will be
+the (x, y) coordinates of the clicked point.
+
+Note the diameter of the circles in the scatter are defined in points**2, so
+their size is independent of the zoom.
+
+.. note::
+    This example exercises the interactive capabilities of Matplotlib, and this
+    will not appear in the static documentation. Please run this code on your
+    machine to see the interactivity.
+
+    You can copy and paste individual parts, or download the entire example
+    using the link at the bottom of the page.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+figsrc, axsrc = plt.subplots(figsize=(3.7, 3.7))
+figzoom, axzoom = plt.subplots(figsize=(3.7, 3.7))
+axsrc.set(xlim=(0, 1), ylim=(0, 1), autoscale_on=False,
+          title='Click to zoom')
+axzoom.set(xlim=(0.45, 0.55), ylim=(0.4, 0.6), autoscale_on=False,
+           title='Zoom window')
+
+x, y, s, c = np.random.rand(4, 200)
+s *= 200
+
+axsrc.scatter(x, y, s, c)
+axzoom.scatter(x, y, s, c)
+
+
+def on_press(event):
+    if event.button != 1:
+        return
+    x, y = event.xdata, event.ydata
+    axzoom.set_xlim(x - 0.1, x + 0.1)
+    axzoom.set_ylim(y - 0.1, y + 0.1)
+    figzoom.canvas.draw()
+
+figsrc.canvas.mpl_connect('button_press_event', on_press)
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/README.txt b/galleries/examples/images_contours_and_fields/README.txt
new file mode 100644
index 000000000000..882de6f57c37
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/README.txt
@@ -0,0 +1,4 @@
+.. _images_contours_and_fields_examples:
+
+Images, contours and fields
+===========================
diff --git a/galleries/examples/images_contours_and_fields/affine_image.py b/galleries/examples/images_contours_and_fields/affine_image.py
new file mode 100644
index 000000000000..f56ebfbdf9d2
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/affine_image.py
@@ -0,0 +1,76 @@
+"""
+============================
+Affine transform of an image
+============================
+
+
+Prepending an affine transformation (`~.transforms.Affine2D`) to the :ref:`data
+transform <data-coords>` of an image allows to manipulate the image's shape and
+orientation.  This is an example of the concept of :ref:`transform chaining
+<transformation-pipeline>`.
+
+The image of the output should have its boundary match the dashed yellow
+rectangle.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.transforms as mtransforms
+
+
+def get_image():
+    delta = 0.25
+    x = y = np.arange(-3.0, 3.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2)
+    return Z
+
+
+def do_plot(ax, Z, transform):
+    im = ax.imshow(Z, interpolation='none',
+                   origin='lower',
+                   extent=[-2, 4, -3, 2], clip_on=True)
+
+    trans_data = transform + ax.transData
+    im.set_transform(trans_data)
+
+    # display intended extent of the image
+    x1, x2, y1, y2 = im.get_extent()
+    ax.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], "y--",
+            transform=trans_data)
+    ax.set_xlim(-5, 5)
+    ax.set_ylim(-4, 4)
+
+
+# prepare image and figure
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+Z = get_image()
+
+# image rotation
+do_plot(ax1, Z, mtransforms.Affine2D().rotate_deg(30))
+
+# image skew
+do_plot(ax2, Z, mtransforms.Affine2D().skew_deg(30, 15))
+
+# scale and reflection
+do_plot(ax3, Z, mtransforms.Affine2D().scale(-1, .5))
+
+# everything and a translation
+do_plot(ax4, Z, mtransforms.Affine2D().
+        rotate_deg(30).skew_deg(30, 15).scale(-1, .5).translate(.5, -1))
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.transforms.Affine2D`
diff --git a/galleries/examples/images_contours_and_fields/barb_demo.py b/galleries/examples/images_contours_and_fields/barb_demo.py
new file mode 100644
index 000000000000..9229b5262a2c
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/barb_demo.py
@@ -0,0 +1,65 @@
+"""
+==========
+Wind barbs
+==========
+
+Demonstration of wind barb plots.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(-5, 5, 5)
+X, Y = np.meshgrid(x, x)
+U, V = 12 * X, 12 * Y
+
+data = [(-1.5, .5, -6, -6),
+        (1, -1, -46, 46),
+        (-3, -1, 11, -11),
+        (1, 1.5, 80, 80),
+        (0.5, 0.25, 25, 15),
+        (-1.5, -0.5, -5, 40)]
+
+data = np.array(data, dtype=[('x', np.float32), ('y', np.float32),
+                             ('u', np.float32), ('v', np.float32)])
+
+fig1, axs1 = plt.subplots(nrows=2, ncols=2)
+# Default parameters, uniform grid
+axs1[0, 0].barbs(X, Y, U, V)
+
+# Arbitrary set of vectors, make them longer and change the pivot point
+# (point around which they're rotated) to be the middle
+axs1[0, 1].barbs(
+    data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle')
+
+# Showing colormapping with uniform grid.  Fill the circle for an empty barb,
+# don't round the values, and change some of the size parameters
+axs1[1, 0].barbs(
+    X, Y, U, V, np.sqrt(U ** 2 + V ** 2), fill_empty=True, rounding=False,
+    sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
+
+# Change colors as well as the increments for parts of the barbs
+axs1[1, 1].barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r',
+                 barbcolor=['b', 'g'], flip_barb=True,
+                 barb_increments=dict(half=10, full=20, flag=100))
+
+# Masked arrays are also supported
+masked_u = np.ma.masked_array(data['u'])
+masked_u[4] = 1000  # Bad value that should not be plotted when masked
+masked_u[4] = np.ma.masked
+
+# %%
+# Identical plot to panel 2 in the first figure, but with the point at
+# (0.5, 0.25) missing (masked)
+fig2, ax2 = plt.subplots()
+ax2.barbs(data['x'], data['y'], masked_u, data['v'], length=8, pivot='middle')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.barbs` / `matplotlib.pyplot.barbs`
diff --git a/galleries/examples/images_contours_and_fields/barcode_demo.py b/galleries/examples/images_contours_and_fields/barcode_demo.py
new file mode 100644
index 000000000000..bdf48ca22531
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/barcode_demo.py
@@ -0,0 +1,53 @@
+"""
+=======
+Barcode
+=======
+This demo shows how to produce a bar code.
+
+The figure size is calculated so that the width in pixels is a multiple of the
+number of data points to prevent interpolation artifacts. Additionally, the
+``Axes`` is defined to span the whole figure and all ``Axis`` are turned off.
+
+The data itself is rendered with `~.Axes.imshow` using
+
+- ``code.reshape(1, -1)`` to turn the data into a 2D array with one row.
+- ``imshow(..., aspect='auto')`` to allow for non-square pixels.
+- ``imshow(..., interpolation='nearest')`` to prevent blurred edges. This
+  should not happen anyway because we fine-tuned the figure width in pixels,
+  but just to be safe.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+code = np.array([
+    1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1,
+    0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0,
+    1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1,
+    1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1])
+
+pixel_per_bar = 4
+dpi = 100
+
+fig = plt.figure(figsize=(len(code) * pixel_per_bar / dpi, 2), dpi=dpi)
+ax = fig.add_axes([0, 0, 1, 1])  # span the whole figure
+ax.set_axis_off()
+ax.imshow(code.reshape(1, -1), cmap='binary', aspect='auto',
+          interpolation='nearest')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.add_axes`
+#
+# .. tags::
+#
+#    component: axes
+#    plot-type: imshow
+#    purpose: fun
diff --git a/galleries/examples/images_contours_and_fields/colormap_interactive_adjustment.py b/galleries/examples/images_contours_and_fields/colormap_interactive_adjustment.py
new file mode 100644
index 000000000000..3db799894c95
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/colormap_interactive_adjustment.py
@@ -0,0 +1,33 @@
+"""
+========================================
+Interactive adjustment of colormap range
+========================================
+
+Demonstration of how a colorbar can be used to interactively adjust the
+range of colormapping on an image. To use the interactive feature, you must
+be in either zoom mode (magnifying glass toolbar button) or
+pan mode (4-way arrow toolbar button) and click inside the colorbar.
+
+When zooming, the bounding box of the zoom region defines the new vmin and
+vmax of the norm. Zooming using the right mouse button will expand the
+vmin and vmax proportionally to the selected region, in the same manner that
+one can zoom out on an axis. When panning, the vmin and vmax of the norm are
+both shifted according to the direction of movement. The
+Home/Back/Forward buttons can also be used to get back to a previous state.
+
+.. redirect-from:: /gallery/userdemo/colormap_interactive_adjustment
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.linspace(0, 2 * np.pi, 1024)
+data2d = np.sin(t)[:, np.newaxis] * np.cos(t)[np.newaxis, :]
+
+fig, ax = plt.subplots()
+im = ax.imshow(data2d)
+ax.set_title('Pan on the colorbar to shift the color mapping\n'
+             'Zoom on the colorbar to scale the color mapping')
+
+fig.colorbar(im, ax=ax, label='Interactive colorbar')
+
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/colormap_normalizations.py b/galleries/examples/images_contours_and_fields/colormap_normalizations.py
new file mode 100644
index 000000000000..1d81336b4964
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/colormap_normalizations.py
@@ -0,0 +1,153 @@
+"""
+=======================
+Colormap normalizations
+=======================
+
+Demonstration of using norm to map colormaps onto data in non-linear ways.
+
+.. redirect-from:: /gallery/userdemo/colormap_normalizations
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as colors
+
+N = 100
+
+# %%
+# LogNorm
+# -------
+# This example data has a low hump with a spike coming out of its center. If plotted
+# using a linear colour scale, then only the spike will be visible. To see both hump and
+# spike, this requires the z/colour axis on a log scale.
+#
+# Instead of transforming the data with ``pcolor(log10(Z))``, the color mapping can be
+# made logarithmic using a `.LogNorm`.
+
+X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
+Z = Z1 + 50 * Z2
+
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolor(X, Y, Z, cmap='PuBu_r', shading='nearest')
+fig.colorbar(pcm, ax=ax[0], extend='max', label='linear scaling')
+
+pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r', shading='nearest',
+                   norm=colors.LogNorm(vmin=Z.min(), vmax=Z.max()))
+fig.colorbar(pcm, ax=ax[1], extend='max', label='LogNorm')
+
+# %%
+# PowerNorm
+# ---------
+# This example data mixes a power-law trend in X with a rectified sine wave in Y. If
+# plotted using a linear colour scale, then the power-law trend in X partially obscures
+# the sine wave in Y.
+#
+# The power law can be removed using a `.PowerNorm`.
+
+X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
+Z = (1 + np.sin(Y * 10)) * X**2
+
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolormesh(X, Y, Z, cmap='PuBu_r', shading='nearest')
+fig.colorbar(pcm, ax=ax[0], extend='max', label='linear scaling')
+
+pcm = ax[1].pcolormesh(X, Y, Z, cmap='PuBu_r', shading='nearest',
+                       norm=colors.PowerNorm(gamma=0.5))
+fig.colorbar(pcm, ax=ax[1], extend='max', label='PowerNorm')
+
+# %%
+# SymLogNorm
+# ----------
+# This example data has two humps, one negative and one positive, The positive hump has
+# 5 times the amplitude of the negative. If plotted with a linear colour scale, then
+# the detail in the negative hump is obscured.
+#
+# Here we logarithmically scale the positive and negative data separately with
+# `.SymLogNorm`.
+#
+# Note that colorbar labels do not come out looking very good.
+
+X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (5 * Z1 - Z2) * 2
+
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       vmin=-np.max(Z))
+fig.colorbar(pcm, ax=ax[0], extend='both', label='linear scaling')
+
+pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       norm=colors.SymLogNorm(linthresh=0.015,
+                                              vmin=-10.0, vmax=10.0, base=10))
+fig.colorbar(pcm, ax=ax[1], extend='both', label='SymLogNorm')
+
+# %%
+# Custom Norm
+# -----------
+# Alternatively, the above example data can be scaled with a customized normalization.
+# This one normalizes the negative data differently from the positive.
+
+
+# Example of making your own norm.  Also see matplotlib.colors.
+# From Joe Kington: This one gives two different linear ramps:
+class MidpointNormalize(colors.Normalize):
+    def __init__(self, vmin=None, vmax=None, midpoint=None, clip=False):
+        self.midpoint = midpoint
+        super().__init__(vmin, vmax, clip)
+
+    def __call__(self, value, clip=None):
+        # I'm ignoring masked values and all kinds of edge cases to make a
+        # simple example...
+        x, y = [self.vmin, self.midpoint, self.vmax], [0, 0.5, 1]
+        return np.ma.masked_array(np.interp(value, x, y))
+
+
+# %%
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       vmin=-np.max(Z))
+fig.colorbar(pcm, ax=ax[0], extend='both', label='linear scaling')
+
+pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       norm=MidpointNormalize(midpoint=0))
+fig.colorbar(pcm, ax=ax[1], extend='both', label='Custom norm')
+
+# %%
+# BoundaryNorm
+# ------------
+# For arbitrarily dividing the color scale, the `.BoundaryNorm` may be used; by
+# providing the boundaries for colors, this norm puts the first color in between the
+# first pair, the second color between the second pair, etc.
+
+fig, ax = plt.subplots(3, 1, layout='constrained')
+
+pcm = ax[0].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       vmin=-np.max(Z))
+fig.colorbar(pcm, ax=ax[0], extend='both', orientation='vertical',
+             label='linear scaling')
+
+# Evenly-spaced bounds gives a contour-like effect.
+bounds = np.linspace(-2, 2, 11)
+norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
+pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       norm=norm)
+fig.colorbar(pcm, ax=ax[1], extend='both', orientation='vertical',
+             label='BoundaryNorm\nlinspace(-2, 2, 11)')
+
+# Unevenly-spaced bounds changes the colormapping.
+bounds = np.array([-1, -0.5, 0, 2.5, 5])
+norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
+pcm = ax[2].pcolormesh(X, Y, Z, cmap='RdBu_r', shading='nearest',
+                       norm=norm)
+fig.colorbar(pcm, ax=ax[2], extend='both', orientation='vertical',
+             label='BoundaryNorm\n[-1, -0.5, 0, 2.5, 5]')
+
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/colormap_normalizations_symlognorm.py b/galleries/examples/images_contours_and_fields/colormap_normalizations_symlognorm.py
new file mode 100644
index 000000000000..14d54d170e7a
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/colormap_normalizations_symlognorm.py
@@ -0,0 +1,85 @@
+"""
+==================================
+Colormap normalizations SymLogNorm
+==================================
+
+Demonstration of using norm to map colormaps onto data in non-linear ways.
+
+.. redirect-from:: /gallery/userdemo/colormap_normalization_symlognorm
+"""
+
+# %%
+# Synthetic dataset consisting of two humps, one negative and one positive,
+# the positive with 8-times the amplitude.
+# Linearly, the negative hump is almost invisible,
+# and it is very difficult to see any detail of its profile.
+# With the logarithmic scaling applied to both positive and negative values,
+# it is much easier to see the shape of each hump.
+#
+# See `~.colors.SymLogNorm`.
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as colors
+
+
+def rbf(x, y):
+    return 1.0 / (1 + 5 * ((x ** 2) + (y ** 2)))
+
+N = 200
+gain = 8
+X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
+Z1 = rbf(X + 0.5, Y + 0.5)
+Z2 = rbf(X - 0.5, Y - 0.5)
+Z = gain * Z1 - Z2
+
+shadeopts = {'cmap': 'PRGn', 'shading': 'gouraud'}
+colormap = 'PRGn'
+lnrwidth = 0.5
+
+fig, ax = plt.subplots(2, 1, sharex=True, sharey=True)
+
+pcm = ax[0].pcolormesh(X, Y, Z,
+                       norm=colors.SymLogNorm(linthresh=lnrwidth, linscale=1,
+                                              vmin=-gain, vmax=gain, base=10),
+                       **shadeopts)
+fig.colorbar(pcm, ax=ax[0], extend='both')
+ax[0].text(-2.5, 1.5, 'symlog')
+
+pcm = ax[1].pcolormesh(X, Y, Z, vmin=-gain, vmax=gain,
+                       **shadeopts)
+fig.colorbar(pcm, ax=ax[1], extend='both')
+ax[1].text(-2.5, 1.5, 'linear')
+
+
+# %%
+# In order to find the best visualization for any particular dataset,
+# it may be necessary to experiment with multiple different color scales.
+# As well as the `~.colors.SymLogNorm` scaling, there is also
+# the option of using `~.colors.AsinhNorm` (experimental), which has a smoother
+# transition between the linear and logarithmic regions of the transformation
+# applied to the data values, "Z".
+# In the plots below, it may be possible to see contour-like artifacts
+# around each hump despite there being no sharp features
+# in the dataset itself. The ``asinh`` scaling shows a smoother shading
+# of each hump.
+
+fig, ax = plt.subplots(2, 1, sharex=True, sharey=True)
+
+pcm = ax[0].pcolormesh(X, Y, Z,
+                       norm=colors.SymLogNorm(linthresh=lnrwidth, linscale=1,
+                                              vmin=-gain, vmax=gain, base=10),
+                       **shadeopts)
+fig.colorbar(pcm, ax=ax[0], extend='both')
+ax[0].text(-2.5, 1.5, 'symlog')
+
+pcm = ax[1].pcolormesh(X, Y, Z,
+                       norm=colors.AsinhNorm(linear_width=lnrwidth,
+                                             vmin=-gain, vmax=gain),
+                       **shadeopts)
+fig.colorbar(pcm, ax=ax[1], extend='both')
+ax[1].text(-2.5, 1.5, 'asinh')
+
+
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/contour_corner_mask.py b/galleries/examples/images_contours_and_fields/contour_corner_mask.py
new file mode 100644
index 000000000000..696231146733
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contour_corner_mask.py
@@ -0,0 +1,50 @@
+"""
+===================
+Contour corner mask
+===================
+
+Illustrate the difference between ``corner_mask=False`` and
+``corner_mask=True`` for masked contour plots.  The default is controlled by
+:rc:`contour.corner_mask`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data to plot.
+x, y = np.meshgrid(np.arange(7), np.arange(10))
+z = np.sin(0.5 * x) * np.cos(0.52 * y)
+
+# Mask various z values.
+mask = np.zeros_like(z, dtype=bool)
+mask[2, 3:5] = True
+mask[3:5, 4] = True
+mask[7, 2] = True
+mask[5, 0] = True
+mask[0, 6] = True
+z = np.ma.array(z, mask=mask)
+
+corner_masks = [False, True]
+fig, axs = plt.subplots(ncols=2)
+for ax, corner_mask in zip(axs, corner_masks):
+    cs = ax.contourf(x, y, z, corner_mask=corner_mask)
+    ax.contour(cs, colors='k')
+    ax.set_title(f'{corner_mask=}')
+
+    # Plot grid.
+    ax.grid(c='k', ls='-', alpha=0.3)
+
+    # Indicate masked points with red circles.
+    ax.plot(np.ma.array(x, mask=~mask), y, 'ro')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
diff --git a/galleries/examples/images_contours_and_fields/contour_demo.py b/galleries/examples/images_contours_and_fields/contour_demo.py
new file mode 100644
index 000000000000..05fd3d5e3be8
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contour_demo.py
@@ -0,0 +1,121 @@
+"""
+============
+Contour Demo
+============
+
+Illustrate simple contour plotting, contours on an image with
+a colorbar for the contours, and labelled contours.
+
+See also the :doc:`contour image example
+</gallery/images_contours_and_fields/contour_image>`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+delta = 0.025
+x = np.arange(-3.0, 3.0, delta)
+y = np.arange(-2.0, 2.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+# %%
+# Create a simple contour plot with labels using default colors.  The inline
+# argument to clabel will control whether the labels are draw over the line
+# segments of the contour, removing the lines beneath the label.
+
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z)
+ax.clabel(CS, fontsize=10)
+ax.set_title('Simplest default with labels')
+
+# %%
+# Contour labels can be placed manually by providing list of positions (in data
+# coordinate).  See :doc:`/gallery/event_handling/ginput_manual_clabel_sgskip`
+# for interactive placement.
+
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z)
+manual_locations = [
+    (-1, -1.4), (-0.62, -0.7), (-2, 0.5), (1.7, 1.2), (2.0, 1.4), (2.4, 1.7)]
+ax.clabel(CS, fontsize=10, manual=manual_locations)
+ax.set_title('labels at selected locations')
+
+# %%
+# You can force all the contours to be the same color.
+
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z, 6, colors='k')  # Negative contours default to dashed.
+ax.clabel(CS, fontsize=9)
+ax.set_title('Single color - negative contours dashed')
+
+# %%
+# You can set negative contours to be solid instead of dashed:
+
+plt.rcParams['contour.negative_linestyle'] = 'solid'
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z, 6, colors='k')  # Negative contours default to dashed.
+ax.clabel(CS, fontsize=9)
+ax.set_title('Single color - negative contours solid')
+
+# %%
+# And you can manually specify the colors of the contour
+
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z, 6,
+                linewidths=np.arange(.5, 4, .5),
+                colors=('r', 'green', 'blue', (1, 1, 0), '#afeeee', '0.5'),
+                )
+ax.clabel(CS, fontsize=9)
+ax.set_title('Crazy lines')
+
+# %%
+# Or you can use a colormap to specify the colors; the default
+# colormap will be used for the contour lines
+
+fig, ax = plt.subplots()
+im = ax.imshow(Z, interpolation='bilinear', origin='lower',
+               cmap="gray", extent=(-3, 3, -2, 2))
+levels = np.arange(-1.2, 1.6, 0.2)
+CS = ax.contour(Z, levels, origin='lower', cmap='flag', extend='both',
+                linewidths=2, extent=(-3, 3, -2, 2))
+
+# Thicken the zero contour.
+lws = np.resize(CS.get_linewidth(), len(levels))
+lws[6] = 4
+CS.set_linewidth(lws)
+
+ax.clabel(CS, levels[1::2],  # label every second level
+          fmt='%1.1f', fontsize=14)
+
+# make a colorbar for the contour lines
+CB = fig.colorbar(CS, shrink=0.8)
+
+ax.set_title('Lines with colorbar')
+
+# We can still add a colorbar for the image, too.
+CBI = fig.colorbar(im, orientation='horizontal', shrink=0.8)
+
+# This makes the original colorbar look a bit out of place,
+# so let's improve its position.
+
+l, b, w, h = ax.get_position().bounds
+ll, bb, ww, hh = CB.ax.get_position().bounds
+CB.ax.set_position([ll, b + 0.1*h, ww, h*0.8])
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
+#    - `matplotlib.axes.Axes.get_position`
+#    - `matplotlib.axes.Axes.set_position`
diff --git a/galleries/examples/images_contours_and_fields/contour_image.py b/galleries/examples/images_contours_and_fields/contour_image.py
new file mode 100644
index 000000000000..28ed02030aee
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contour_image.py
@@ -0,0 +1,107 @@
+"""
+=============
+Contour image
+=============
+
+Test combinations of contouring, filled contouring, and image plotting.
+For contour labelling, see also the :doc:`contour demo example
+</gallery/images_contours_and_fields/contour_demo>`.
+
+The emphasis in this demo is on showing how to make contours register
+correctly on images, and on how to get both of them oriented as desired.
+In particular, note the usage of the :ref:`"origin" and "extent"
+<imshow_extent>` keyword arguments to imshow and
+contour.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cm
+
+# Default delta is large because that makes it fast, and it illustrates
+# the correct registration between image and contours.
+delta = 0.5
+
+extent = (-3, 4, -4, 3)
+
+x = np.arange(-3.0, 4.001, delta)
+y = np.arange(-4.0, 3.001, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+# Boost the upper limit to avoid truncation errors.
+levels = np.arange(-2.0, 1.601, 0.4)
+
+norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())
+cmap = plt.colormaps["PRGn"]
+
+fig, _axs = plt.subplots(nrows=2, ncols=2)
+fig.subplots_adjust(hspace=0.3)
+axs = _axs.flatten()
+
+cset1 = axs[0].contourf(X, Y, Z, levels, norm=norm,
+                        cmap=cmap.resampled(len(levels) - 1))
+# It is not necessary, but for the colormap, we need only the
+# number of levels minus 1.  To avoid discretization error, use
+# either this number or a large number such as the default (256).
+
+# If we want lines as well as filled regions, we need to call
+# contour separately; don't try to change the edgecolor or edgewidth
+# of the polygons in the collections returned by contourf.
+# Use levels output from previous call to guarantee they are the same.
+
+cset2 = axs[0].contour(X, Y, Z, cset1.levels, colors='k')
+
+# We don't really need dashed contour lines to indicate negative
+# regions, so let's turn them off.
+cset2.set_linestyle('solid')
+
+# It is easier here to make a separate call to contour than
+# to set up an array of colors and linewidths.
+# We are making a thick green line as a zero contour.
+# Specify the zero level as a tuple with only 0 in it.
+
+cset3 = axs[0].contour(X, Y, Z, (0,), colors='g', linewidths=2)
+axs[0].set_title('Filled contours')
+fig.colorbar(cset1, ax=axs[0])
+
+
+axs[1].imshow(Z, extent=extent, cmap=cmap, norm=norm)
+axs[1].contour(Z, levels, colors='k', origin='upper', extent=extent)
+axs[1].set_title("Image, origin 'upper'")
+
+axs[2].imshow(Z, origin='lower', extent=extent, cmap=cmap, norm=norm)
+axs[2].contour(Z, levels, colors='k', origin='lower', extent=extent)
+axs[2].set_title("Image, origin 'lower'")
+
+# We will use the interpolation "nearest" here to show the actual
+# image pixels.
+# Note that the contour lines don't extend to the edge of the box.
+# This is intentional. The Z values are defined at the center of each
+# image pixel (each color block on the following subplot), so the
+# domain that is contoured does not extend beyond these pixel centers.
+im = axs[3].imshow(Z, interpolation='nearest', extent=extent,
+                   cmap=cmap, norm=norm)
+axs[3].contour(Z, levels, colors='k', origin='image', extent=extent)
+ylim = axs[3].get_ylim()
+axs[3].set_ylim(ylim[::-1])
+axs[3].set_title("Origin from rc, reversed y-axis")
+fig.colorbar(im, ax=axs[3])
+
+fig.tight_layout()
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors.Normalize`
diff --git a/galleries/examples/images_contours_and_fields/contour_label_demo.py b/galleries/examples/images_contours_and_fields/contour_label_demo.py
new file mode 100644
index 000000000000..0b24b57f6afd
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contour_label_demo.py
@@ -0,0 +1,87 @@
+"""
+==================
+Contour Label Demo
+==================
+
+Illustrate some of the more advanced things that one can do with
+contour labels.
+
+See also the :doc:`contour demo example
+</gallery/images_contours_and_fields/contour_demo>`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as ticker
+
+# %%
+# Define our surface
+
+delta = 0.025
+x = np.arange(-3.0, 3.0, delta)
+y = np.arange(-2.0, 2.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+# %%
+# Make contour labels with custom level formatters
+
+
+# This custom formatter removes trailing zeros, e.g. "1.0" becomes "1", and
+# then adds a percent sign.
+def fmt(x):
+    s = f"{x:.1f}"
+    if s.endswith("0"):
+        s = f"{x:.0f}"
+    return rf"{s} \%" if plt.rcParams["text.usetex"] else f"{s} %"
+
+
+# Basic contour plot
+fig, ax = plt.subplots()
+CS = ax.contour(X, Y, Z)
+
+ax.clabel(CS, CS.levels, fmt=fmt, fontsize=10)
+
+# %%
+# Label contours with arbitrary strings using a dictionary
+
+fig1, ax1 = plt.subplots()
+
+# Basic contour plot
+CS1 = ax1.contour(X, Y, Z)
+
+fmt = {}
+strs = ['first', 'second', 'third', 'fourth', 'fifth', 'sixth', 'seventh']
+for l, s in zip(CS1.levels, strs):
+    fmt[l] = s
+
+# Label every other level using strings
+ax1.clabel(CS1, CS1.levels[::2], fmt=fmt, fontsize=10)
+
+# %%
+# Use a Formatter
+
+fig2, ax2 = plt.subplots()
+
+CS2 = ax2.contour(X, Y, 100**Z, locator=plt.LogLocator())
+fmt = ticker.LogFormatterMathtext()
+fmt.create_dummy_axis()
+ax2.clabel(CS2, CS2.levels, fmt=fmt)
+ax2.set_title("$100^Z$")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
+#    - `matplotlib.ticker.LogFormatterMathtext`
+#    - `matplotlib.ticker.TickHelper.create_dummy_axis`
diff --git a/galleries/examples/images_contours_and_fields/contourf_demo.py b/galleries/examples/images_contours_and_fields/contourf_demo.py
new file mode 100644
index 000000000000..18c13d922e38
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contourf_demo.py
@@ -0,0 +1,138 @@
+"""
+=============
+Contourf demo
+=============
+
+How to use the `.axes.Axes.contourf` method to create filled contour plots.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+delta = 0.025
+
+x = y = np.arange(-3.0, 3.01, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+nr, nc = Z.shape
+
+# put NaNs in one corner:
+Z[-nr // 6:, -nc // 6:] = np.nan
+# contourf will convert these to masked
+
+
+Z = np.ma.array(Z)
+# mask another corner:
+Z[:nr // 6, :nc // 6] = np.ma.masked
+
+# mask a circle in the middle:
+interior = np.sqrt(X**2 + Y**2) < 0.5
+Z[interior] = np.ma.masked
+
+# %%
+# Automatic contour levels
+# ------------------------
+# We are using automatic selection of contour levels; this is usually not such
+# a good idea, because they don't occur on nice boundaries, but we do it here
+# for purposes of illustration.
+
+fig1, ax2 = plt.subplots(layout='constrained')
+CS = ax2.contourf(X, Y, Z, 10, cmap="bone")
+
+# Note that in the following, we explicitly pass in a subset of the contour
+# levels used for the filled contours.  Alternatively, we could pass in
+# additional levels to provide extra resolution, or leave out the *levels*
+# keyword argument to use all of the original levels.
+
+CS2 = ax2.contour(CS, levels=CS.levels[::2], colors='r')
+
+ax2.set_title('Nonsense (3 masked regions)')
+ax2.set_xlabel('word length anomaly')
+ax2.set_ylabel('sentence length anomaly')
+
+# Make a colorbar for the ContourSet returned by the contourf call.
+cbar = fig1.colorbar(CS)
+cbar.ax.set_ylabel('verbosity coefficient')
+# Add the contour line levels to the colorbar
+cbar.add_lines(CS2)
+
+# %%
+# Explicit contour levels
+# -----------------------
+# Now make a contour plot with the levels specified, and with the colormap
+# generated automatically from a list of colors.
+
+fig2, ax2 = plt.subplots(layout='constrained')
+levels = [-1.5, -1, -0.5, 0, 0.5, 1]
+CS3 = ax2.contourf(X, Y, Z, levels, colors=('r', 'g', 'b'), extend='both')
+# Our data range extends outside the range of levels; make
+# data below the lowest contour level yellow, and above the
+# highest level cyan:
+CS3.cmap.set_under('yellow')
+CS3.cmap.set_over('cyan')
+
+CS4 = ax2.contour(X, Y, Z, levels, colors=('k',), linewidths=(3,))
+ax2.set_title('Listed colors (3 masked regions)')
+ax2.clabel(CS4, fmt='%2.1f', colors='w', fontsize=14)
+
+# Notice that the colorbar gets all the information it
+# needs from the ContourSet object, CS3.
+fig2.colorbar(CS3)
+
+# %%
+# Extension settings
+# ------------------
+# Illustrate all 4 possible "extend" settings:
+extends = ["neither", "both", "min", "max"]
+cmap = plt.colormaps["winter"].with_extremes(under="magenta", over="yellow")
+# Note: contouring simply excludes masked or nan regions, so
+# instead of using the "bad" colormap value for them, it draws
+# nothing at all in them.  Therefore, the following would have
+# no effect:
+# cmap.set_bad("red")
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+
+for ax, extend in zip(axs.flat, extends):
+    cs = ax.contourf(X, Y, Z, levels, cmap=cmap, extend=extend)
+    fig.colorbar(cs, ax=ax, shrink=0.9)
+    ax.set_title("extend = %s" % extend)
+    ax.locator_params(nbins=4)
+
+plt.show()
+
+# %%
+# Orient contour plots using the origin keyword
+# ---------------------------------------------
+# This code demonstrates orienting contour plot data using the "origin" keyword
+
+x = np.arange(1, 10)
+y = x.reshape(-1, 1)
+h = x * y
+
+fig, (ax1, ax2) = plt.subplots(ncols=2)
+
+ax1.set_title("origin='upper'")
+ax2.set_title("origin='lower'")
+ax1.contourf(h, levels=np.arange(5, 70, 5), extend='both', origin="upper")
+ax2.contourf(h, levels=np.arange(5, 70, 5), extend='both', origin="lower")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors.Colormap`
+#    - `matplotlib.colors.Colormap.set_bad`
+#    - `matplotlib.colors.Colormap.set_under`
+#    - `matplotlib.colors.Colormap.set_over`
diff --git a/galleries/examples/images_contours_and_fields/contourf_hatching.py b/galleries/examples/images_contours_and_fields/contourf_hatching.py
new file mode 100644
index 000000000000..020c20b44ec4
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contourf_hatching.py
@@ -0,0 +1,55 @@
+"""
+=================
+Contourf hatching
+=================
+
+Demo filled contour plots with hatched patterns.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# invent some numbers, turning the x and y arrays into simple
+# 2d arrays, which make combining them together easier.
+x = np.linspace(-3, 5, 150).reshape(1, -1)
+y = np.linspace(-3, 5, 120).reshape(-1, 1)
+z = np.cos(x) + np.sin(y)
+
+# we no longer need x and y to be 2 dimensional, so flatten them.
+x, y = x.flatten(), y.flatten()
+
+# %%
+# Plot 1: the simplest hatched plot with a colorbar
+
+fig1, ax1 = plt.subplots()
+cs = ax1.contourf(x, y, z, hatches=['-', '/', '\\', '//'],
+                  cmap='gray', extend='both', alpha=0.5)
+fig1.colorbar(cs)
+
+# %%
+# Plot 2: a plot of hatches without color with a legend
+
+fig2, ax2 = plt.subplots()
+n_levels = 6
+ax2.contour(x, y, z, n_levels, colors='black', linestyles='-')
+cs = ax2.contourf(x, y, z, n_levels, colors='none',
+                  hatches=['.', '/', '\\', None, '\\\\', '*'],
+                  extend='lower')
+
+# create a legend for the contour set
+artists, labels = cs.legend_elements(str_format='{:2.1f}'.format)
+ax2.legend(artists, labels, handleheight=2, framealpha=1)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#    - `matplotlib.contour.ContourSet`
+#    - `matplotlib.contour.ContourSet.legend_elements`
diff --git a/galleries/examples/images_contours_and_fields/contourf_log.py b/galleries/examples/images_contours_and_fields/contourf_log.py
new file mode 100644
index 000000000000..408976adb9c2
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contourf_log.py
@@ -0,0 +1,62 @@
+"""
+============================
+Contourf and log color scale
+============================
+
+Demonstrate use of a log color scale in contourf
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+from numpy import ma
+
+from matplotlib import ticker
+
+N = 100
+x = np.linspace(-3.0, 3.0, N)
+y = np.linspace(-2.0, 2.0, N)
+
+X, Y = np.meshgrid(x, y)
+
+# A low hump with a spike coming out.
+# Needs to have z/colour axis on a log scale, so we see both hump and spike.
+# A linear scale only shows the spike.
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
+z = Z1 + 50 * Z2
+
+# Put in some negative values (lower left corner) to cause trouble with logs:
+z[:5, :5] = -1
+
+# The following is not strictly essential, but it will eliminate
+# a warning.  Comment it out to see the warning.
+z = ma.masked_where(z <= 0, z)
+
+
+# Automatic selection of levels works; setting the
+# log locator tells contourf to use a log scale:
+fig, ax = plt.subplots()
+cs = ax.contourf(X, Y, z, locator=ticker.LogLocator(), cmap="PuBu_r")
+
+# Alternatively, you can manually set the levels
+# and the norm:
+# lev_exp = np.arange(np.floor(np.log10(z.min())-1),
+#                    np.ceil(np.log10(z.max())+1))
+# levs = np.power(10, lev_exp)
+# cs = ax.contourf(X, Y, z, levs, norm=colors.LogNorm())
+
+cbar = fig.colorbar(cs)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#    - `matplotlib.ticker.LogLocator`
diff --git a/galleries/examples/images_contours_and_fields/contours_in_optimization_demo.py b/galleries/examples/images_contours_and_fields/contours_in_optimization_demo.py
new file mode 100644
index 000000000000..ec0d5d384d9a
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/contours_in_optimization_demo.py
@@ -0,0 +1,61 @@
+"""
+==============================================
+Contouring the solution space of optimizations
+==============================================
+
+Contour plotting is particularly handy when illustrating the solution
+space of optimization problems.  Not only can `.axes.Axes.contour` be
+used to represent the topography of the objective function, it can be
+used to generate boundary curves of the constraint functions.  The
+constraint lines can be drawn with
+`~matplotlib.patheffects.TickedStroke` to distinguish the valid and
+invalid sides of the constraint boundaries.
+
+`.axes.Axes.contour` generates curves with larger values to the left
+of the contour.  The angle parameter is measured zero ahead with
+increasing values to the left.  Consequently, when using
+`~matplotlib.patheffects.TickedStroke` to illustrate a constraint in
+a typical optimization problem, the angle should be set between
+zero and 180 degrees.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import patheffects
+
+fig, ax = plt.subplots(figsize=(6, 6))
+
+nx = 101
+ny = 105
+
+# Set up survey vectors
+xvec = np.linspace(0.001, 4.0, nx)
+yvec = np.linspace(0.001, 4.0, ny)
+
+# Set up survey matrices.  Design disk loading and gear ratio.
+x1, x2 = np.meshgrid(xvec, yvec)
+
+# Evaluate some stuff to plot
+obj = x1**2 + x2**2 - 2*x1 - 2*x2 + 2
+g1 = -(3*x1 + x2 - 5.5)
+g2 = -(x1 + 2*x2 - 4.5)
+g3 = 0.8 + x1**-3 - x2
+
+cntr = ax.contour(x1, x2, obj, [0.01, 0.1, 0.5, 1, 2, 4, 8, 16],
+                  colors='black')
+ax.clabel(cntr, fmt="%2.1f", use_clabeltext=True)
+
+cg1 = ax.contour(x1, x2, g1, [0], colors='sandybrown')
+cg1.set(path_effects=[patheffects.withTickedStroke(angle=135)])
+
+cg2 = ax.contour(x1, x2, g2, [0], colors='orangered')
+cg2.set(path_effects=[patheffects.withTickedStroke(angle=60, length=2)])
+
+cg3 = ax.contour(x1, x2, g3, [0], colors='mediumblue')
+cg3.set(path_effects=[patheffects.withTickedStroke(spacing=7)])
+
+ax.set_xlim(0, 4)
+ax.set_ylim(0, 4)
+
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/demo_bboximage.py b/galleries/examples/images_contours_and_fields/demo_bboximage.py
new file mode 100644
index 000000000000..660aa0a58523
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/demo_bboximage.py
@@ -0,0 +1,62 @@
+"""
+==============
+BboxImage Demo
+==============
+
+A `~matplotlib.image.BboxImage` can be used to position an image according to
+a bounding box. This demo shows how to show an image inside a `.text.Text`'s
+bounding box as well as how to manually create a bounding box for the image.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.image import BboxImage
+from matplotlib.transforms import Bbox, TransformedBbox
+
+fig, (ax1, ax2) = plt.subplots(ncols=2)
+
+# ----------------------------
+# Create a BboxImage with Text
+# ----------------------------
+txt = ax1.text(0.5, 0.5, "test", size=30, ha="center", color="w")
+ax1.add_artist(
+    BboxImage(txt.get_window_extent, data=np.arange(256).reshape((1, -1))))
+
+# ------------------------------------
+# Create a BboxImage for each colormap
+# ------------------------------------
+# List of all colormaps; skip reversed colormaps.
+cmap_names = sorted(m for m in plt.colormaps if not m.endswith("_r"))
+
+ncol = 2
+nrow = len(cmap_names) // ncol + 1
+
+xpad_fraction = 0.3
+dx = 1 / (ncol + xpad_fraction * (ncol - 1))
+
+ypad_fraction = 0.3
+dy = 1 / (nrow + ypad_fraction * (nrow - 1))
+
+for i, cmap_name in enumerate(cmap_names):
+    ix, iy = divmod(i, nrow)
+    bbox0 = Bbox.from_bounds(ix*dx*(1+xpad_fraction),
+                             1 - iy*dy*(1+ypad_fraction) - dy,
+                             dx, dy)
+    bbox = TransformedBbox(bbox0, ax2.transAxes)
+    ax2.add_artist(
+        BboxImage(bbox, cmap=cmap_name, data=np.arange(256).reshape((1, -1))))
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.image.BboxImage`
+#    - `matplotlib.transforms.Bbox`
+#    - `matplotlib.transforms.TransformedBbox`
+#    - `matplotlib.text.Text`
diff --git a/galleries/examples/images_contours_and_fields/figimage_demo.py b/galleries/examples/images_contours_and_fields/figimage_demo.py
new file mode 100644
index 000000000000..c8fe44956a86
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/figimage_demo.py
@@ -0,0 +1,29 @@
+"""
+=============
+Figimage Demo
+=============
+
+This illustrates placing images directly in the figure, with no Axes objects.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+Z = np.arange(10000).reshape((100, 100))
+Z[:, 50:] = 1
+
+im1 = fig.figimage(Z, xo=50, yo=0, origin='lower')
+im2 = fig.figimage(Z, xo=100, yo=100, alpha=.8, origin='lower')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure`
+#    - `matplotlib.figure.Figure.figimage` / `matplotlib.pyplot.figimage`
diff --git a/galleries/examples/images_contours_and_fields/image_annotated_heatmap.py b/galleries/examples/images_contours_and_fields/image_annotated_heatmap.py
new file mode 100644
index 000000000000..df4f204e7fda
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_annotated_heatmap.py
@@ -0,0 +1,308 @@
+"""
+=================
+Annotated heatmap
+=================
+
+It is often desirable to show data which depends on two independent
+variables as a color coded image plot. This is often referred to as a
+heatmap. If the data is categorical, this would be called a categorical
+heatmap.
+
+Matplotlib's `~matplotlib.axes.Axes.imshow` function makes
+production of such plots particularly easy.
+
+The following examples show how to create a heatmap with annotations.
+We will start with an easy example and expand it to be usable as a
+universal function.
+"""
+
+
+# %%
+#
+# A simple categorical heatmap
+# ----------------------------
+#
+# We may start by defining some data. What we need is a 2D list or array
+# which defines the data to color code. We then also need two lists or arrays
+# of categories; of course the number of elements in those lists
+# need to match the data along the respective axes.
+# The heatmap itself is an `~matplotlib.axes.Axes.imshow` plot
+# with the labels set to the categories we have.
+# Note that it is important to set both, the tick locations
+# (`~matplotlib.axes.Axes.set_xticks`) as well as the
+# tick labels (`~matplotlib.axes.Axes.set_xticklabels`),
+# otherwise they would become out of sync. The locations are just
+# the ascending integer numbers, while the ticklabels are the labels to show.
+# Finally, we can label the data itself by creating a `~matplotlib.text.Text`
+# within each cell showing the value of that cell.
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib
+import matplotlib as mpl
+
+# sphinx_gallery_thumbnail_number = 2
+
+vegetables = ["cucumber", "tomato", "lettuce", "asparagus",
+              "potato", "wheat", "barley"]
+farmers = ["Farmer Joe", "Upland Bros.", "Smith Gardening",
+           "Agrifun", "Organiculture", "BioGoods Ltd.", "Cornylee Corp."]
+
+harvest = np.array([[0.8, 2.4, 2.5, 3.9, 0.0, 4.0, 0.0],
+                    [2.4, 0.0, 4.0, 1.0, 2.7, 0.0, 0.0],
+                    [1.1, 2.4, 0.8, 4.3, 1.9, 4.4, 0.0],
+                    [0.6, 0.0, 0.3, 0.0, 3.1, 0.0, 0.0],
+                    [0.7, 1.7, 0.6, 2.6, 2.2, 6.2, 0.0],
+                    [1.3, 1.2, 0.0, 0.0, 0.0, 3.2, 5.1],
+                    [0.1, 2.0, 0.0, 1.4, 0.0, 1.9, 6.3]])
+
+
+fig, ax = plt.subplots()
+im = ax.imshow(harvest)
+
+# Show all ticks and label them with the respective list entries
+ax.set_xticks(range(len(farmers)), labels=farmers,
+              rotation=45, rotation_mode="xtick")
+ax.set_yticks(range(len(vegetables)), labels=vegetables)
+
+# Loop over data dimensions and create text annotations.
+for i in range(len(vegetables)):
+    for j in range(len(farmers)):
+        text = ax.text(j, i, harvest[i, j],
+                       ha="center", va="center", color="w")
+
+ax.set_title("Harvest of local farmers (in tons/year)")
+fig.tight_layout()
+plt.show()
+
+
+# %%
+# Using the helper function code style
+# ------------------------------------
+#
+# As discussed in the :ref:`Coding styles <coding_styles>`
+# one might want to reuse such code to create some kind of heatmap
+# for different input data and/or on different axes.
+# We create a function that takes the data and the row and column labels as
+# input, and allows arguments that are used to customize the plot
+#
+# Here, in addition to the above we also want to create a colorbar and
+# position the labels above of the heatmap instead of below it.
+# The annotations shall get different colors depending on a threshold
+# for better contrast against the pixel color.
+# Finally, we turn the surrounding axes spines off and create
+# a grid of white lines to separate the cells.
+
+
+def heatmap(data, row_labels, col_labels, ax=None,
+            cbar_kw=None, cbarlabel="", **kwargs):
+    """
+    Create a heatmap from a numpy array and two lists of labels.
+
+    Parameters
+    ----------
+    data
+        A 2D numpy array of shape (M, N).
+    row_labels
+        A list or array of length M with the labels for the rows.
+    col_labels
+        A list or array of length N with the labels for the columns.
+    ax
+        A `matplotlib.axes.Axes` instance to which the heatmap is plotted.  If
+        not provided, use current Axes or create a new one.  Optional.
+    cbar_kw
+        A dictionary with arguments to `matplotlib.Figure.colorbar`.  Optional.
+    cbarlabel
+        The label for the colorbar.  Optional.
+    **kwargs
+        All other arguments are forwarded to `imshow`.
+    """
+
+    if ax is None:
+        ax = plt.gca()
+
+    if cbar_kw is None:
+        cbar_kw = {}
+
+    # Plot the heatmap
+    im = ax.imshow(data, **kwargs)
+
+    # Create colorbar
+    cbar = ax.figure.colorbar(im, ax=ax, **cbar_kw)
+    cbar.ax.set_ylabel(cbarlabel, rotation=-90, va="bottom")
+
+    # Show all ticks and label them with the respective list entries.
+    ax.set_xticks(range(data.shape[1]), labels=col_labels,
+                  rotation=-30, rotation_mode="xtick")
+    ax.set_yticks(range(data.shape[0]), labels=row_labels)
+
+    # Let the horizontal axes labeling appear on top.
+    ax.tick_params(top=True, bottom=False,
+                   labeltop=True, labelbottom=False)
+
+    # Turn spines off and create white grid.
+    ax.spines[:].set_visible(False)
+
+    ax.set_xticks(np.arange(data.shape[1]+1)-.5, minor=True)
+    ax.set_yticks(np.arange(data.shape[0]+1)-.5, minor=True)
+    ax.grid(which="minor", color="w", linestyle='-', linewidth=3)
+    ax.tick_params(which="minor", bottom=False, left=False)
+
+    return im, cbar
+
+
+def annotate_heatmap(im, data=None, valfmt="{x:.2f}",
+                     textcolors=("black", "white"),
+                     threshold=None, **textkw):
+    """
+    A function to annotate a heatmap.
+
+    Parameters
+    ----------
+    im
+        The AxesImage to be labeled.
+    data
+        Data used to annotate.  If None, the image's data is used.  Optional.
+    valfmt
+        The format of the annotations inside the heatmap.  This should either
+        use the string format method, e.g. "$ {x:.2f}", or be a
+        `matplotlib.ticker.Formatter`.  Optional.
+    textcolors
+        A pair of colors.  The first is used for values below a threshold,
+        the second for those above.  Optional.
+    threshold
+        Value in data units according to which the colors from textcolors are
+        applied.  If None (the default) uses the middle of the colormap as
+        separation.  Optional.
+    **kwargs
+        All other arguments are forwarded to each call to `text` used to create
+        the text labels.
+    """
+
+    if not isinstance(data, (list, np.ndarray)):
+        data = im.get_array()
+
+    # Normalize the threshold to the images color range.
+    if threshold is not None:
+        threshold = im.norm(threshold)
+    else:
+        threshold = im.norm(data.max())/2.
+
+    # Set default alignment to center, but allow it to be
+    # overwritten by textkw.
+    kw = dict(horizontalalignment="center",
+              verticalalignment="center")
+    kw.update(textkw)
+
+    # Get the formatter in case a string is supplied
+    if isinstance(valfmt, str):
+        valfmt = matplotlib.ticker.StrMethodFormatter(valfmt)
+
+    # Loop over the data and create a `Text` for each "pixel".
+    # Change the text's color depending on the data.
+    texts = []
+    for i in range(data.shape[0]):
+        for j in range(data.shape[1]):
+            kw.update(color=textcolors[int(im.norm(data[i, j]) > threshold)])
+            text = im.axes.text(j, i, valfmt(data[i, j], None), **kw)
+            texts.append(text)
+
+    return texts
+
+
+# %%
+# The above now allows us to keep the actual plot creation pretty compact.
+#
+
+fig, ax = plt.subplots()
+
+im, cbar = heatmap(harvest, vegetables, farmers, ax=ax,
+                   cmap="YlGn", cbarlabel="harvest [t/year]")
+texts = annotate_heatmap(im, valfmt="{x:.1f} t")
+
+fig.tight_layout()
+plt.show()
+
+
+# %%
+# Some more complex heatmap examples
+# ----------------------------------
+#
+# In the following we show the versatility of the previously created
+# functions by applying it in different cases and using different arguments.
+#
+
+np.random.seed(19680801)
+
+fig, ((ax, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(8, 6))
+
+# Replicate the above example with a different font size and colormap.
+
+im, _ = heatmap(harvest, vegetables, farmers, ax=ax,
+                cmap="Wistia", cbarlabel="harvest [t/year]")
+annotate_heatmap(im, valfmt="{x:.1f}", size=7)
+
+# Create some new data, give further arguments to imshow (vmin),
+# use an integer format on the annotations and provide some colors.
+
+data = np.random.randint(2, 100, size=(7, 7))
+y = [f"Book {i}" for i in range(1, 8)]
+x = [f"Store {i}" for i in list("ABCDEFG")]
+im, _ = heatmap(data, y, x, ax=ax2, vmin=0,
+                cmap="magma_r", cbarlabel="weekly sold copies")
+annotate_heatmap(im, valfmt="{x:d}", size=7, threshold=20,
+                 textcolors=("red", "white"))
+
+# Sometimes even the data itself is categorical. Here we use a
+# `matplotlib.colors.BoundaryNorm` to get the data into classes
+# and use this to colorize the plot, but also to obtain the class
+# labels from an array of classes.
+
+data = np.random.randn(6, 6)
+y = [f"Prod. {i}" for i in range(10, 70, 10)]
+x = [f"Cycle {i}" for i in range(1, 7)]
+
+qrates = list("ABCDEFG")
+norm = matplotlib.colors.BoundaryNorm(np.linspace(-3.5, 3.5, 8), 7)
+fmt = matplotlib.ticker.FuncFormatter(lambda x, pos: qrates[::-1][norm(x)])
+
+im, _ = heatmap(data, y, x, ax=ax3,
+                cmap=mpl.colormaps["PiYG"].resampled(7), norm=norm,
+                cbar_kw=dict(ticks=np.arange(-3, 4), format=fmt),
+                cbarlabel="Quality Rating")
+
+annotate_heatmap(im, valfmt=fmt, size=9, fontweight="bold", threshold=-1,
+                 textcolors=("red", "black"))
+
+# We can nicely plot a correlation matrix. Since this is bound by -1 and 1,
+# we use those as vmin and vmax. We may also remove leading zeros and hide
+# the diagonal elements (which are all 1) by using a
+# `matplotlib.ticker.FuncFormatter`.
+
+corr_matrix = np.corrcoef(harvest)
+im, _ = heatmap(corr_matrix, vegetables, vegetables, ax=ax4,
+                cmap="PuOr", vmin=-1, vmax=1,
+                cbarlabel="correlation coeff.")
+
+
+def func(x, pos):
+    return f"{x:.2f}".replace("0.", ".").replace("1.00", "")
+
+annotate_heatmap(im, valfmt=matplotlib.ticker.FuncFormatter(func), size=7)
+
+
+plt.tight_layout()
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
diff --git a/galleries/examples/images_contours_and_fields/image_antialiasing.py b/galleries/examples/images_contours_and_fields/image_antialiasing.py
new file mode 100644
index 000000000000..7f223f6998f2
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_antialiasing.py
@@ -0,0 +1,258 @@
+"""
+================
+Image resampling
+================
+
+Images are represented by discrete pixels assigned color values, either on the
+screen or in an image file.  When a user calls `~.Axes.imshow` with a data
+array, it is rare that the size of the data array exactly matches the number of
+pixels allotted to the image in the figure, so Matplotlib resamples or `scales
+<https://en.wikipedia.org/wiki/Image_scaling>`_ the data or image to fit.  If
+the data array is larger than the number of pixels allotted in the rendered figure,
+then the image will be "down-sampled" and image information will be lost.
+Conversely, if the data array is smaller than the number of output pixels then each
+data point will get multiple pixels, and the image is "up-sampled".
+
+In the following figure, the first data array has size (450, 450), but is
+represented by far fewer pixels in the figure, and hence is down-sampled.  The
+second data array has size (4, 4), and is represented by far more pixels, and
+hence is up-sampled.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, axs = plt.subplots(1, 2, figsize=(4, 2))
+
+# First we generate a 450x450 pixel image with varying frequency content:
+N = 450
+x = np.arange(N) / N - 0.5
+y = np.arange(N) / N - 0.5
+aa = np.ones((N, N))
+aa[::2, :] = -1
+
+X, Y = np.meshgrid(x, y)
+R = np.sqrt(X**2 + Y**2)
+f0 = 5
+k = 100
+a = np.sin(np.pi * 2 * (f0 * R + k * R**2 / 2))
+# make the left hand side of this
+a[:int(N / 2), :][R[:int(N / 2), :] < 0.4] = -1
+a[:int(N / 2), :][R[:int(N / 2), :] < 0.3] = 1
+aa[:, int(N / 3):] = a[:, int(N / 3):]
+alarge = aa
+
+axs[0].imshow(alarge, cmap='RdBu_r')
+axs[0].set_title('(450, 450) Down-sampled', fontsize='medium')
+
+np.random.seed(19680801+9)
+asmall = np.random.rand(4, 4)
+axs[1].imshow(asmall, cmap='viridis')
+axs[1].set_title('(4, 4) Up-sampled', fontsize='medium')
+
+# %%
+# Matplotlib's `~.Axes.imshow` method has two keyword arguments to allow the user
+# to control how resampling is done.  The *interpolation* keyword argument allows
+# a choice of the kernel that is used for resampling, allowing either `anti-alias
+# <https://en.wikipedia.org/wiki/Anti-aliasing_filter>`_ filtering if
+# down-sampling, or smoothing of pixels if up-sampling.  The
+# *interpolation_stage* keyword argument, determines if this smoothing kernel is
+# applied to the underlying data, or if the kernel is applied to the RGBA pixels.
+#
+# ``interpolation_stage='rgba'``: Data -> Normalize -> RGBA -> Interpolate/Resample
+#
+# ``interpolation_stage='data'``: Data -> Interpolate/Resample -> Normalize -> RGBA
+#
+# For both keyword arguments, Matplotlib has a default "antialiased", that is
+# recommended for most situations, and is described below.  Note that this
+# default behaves differently if the image is being down- or up-sampled, as
+# described below.
+#
+# Down-sampling and modest up-sampling
+# ====================================
+#
+# When down-sampling data, we usually want to remove aliasing by smoothing the
+# image first and then sub-sampling it.  In Matplotlib, we can do that smoothing
+# before mapping the data to colors, or we can do the smoothing on the RGB(A)
+# image pixels.  The differences between these are shown below, and controlled
+# with the *interpolation_stage* keyword argument.
+#
+# The following images are down-sampled from 450 data pixels to approximately
+# 125 pixels or 250 pixels (depending on your display).
+# The underlying image has alternating +1, -1 stripes on the left side, and
+# a varying wavelength (`chirp <https://en.wikipedia.org/wiki/Chirp>`_) pattern
+# in the rest of the image.  If we zoom, we can see this detail without any
+# down-sampling:
+
+fig, ax = plt.subplots(figsize=(4, 4), layout='compressed')
+ax.imshow(alarge, interpolation='nearest', cmap='RdBu_r')
+ax.set_xlim(100, 200)
+ax.set_ylim(275, 175)
+ax.set_title('Zoom')
+
+# %%
+# If we down-sample, the simplest algorithm is to decimate the data using
+# `nearest-neighbor interpolation
+# <https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation>`_.  We can
+# do this in either data space or RGBA space:
+
+fig, axs = plt.subplots(1, 2, figsize=(5, 2.7), layout='compressed')
+for ax, interp, space in zip(axs.flat, ['nearest', 'nearest'],
+                                       ['data', 'rgba']):
+    ax.imshow(alarge, interpolation=interp, interpolation_stage=space,
+              cmap='RdBu_r')
+    ax.set_title(f"interpolation='{interp}'\nstage='{space}'")
+
+# %%
+# Nearest interpolation is identical in data and RGBA space, and both exhibit
+# `Moiré <https://en.wikipedia.org/wiki/Moiré_pattern>`_ patterns because the
+# high-frequency data is being down-sampled and shows up as lower frequency
+# patterns. We can reduce the Moiré patterns by applying an anti-aliasing filter
+# to the image before rendering:
+
+fig, axs = plt.subplots(1, 2, figsize=(5, 2.7), layout='compressed')
+for ax, interp, space in zip(axs.flat, ['hanning', 'hanning'],
+                                       ['data', 'rgba']):
+    ax.imshow(alarge, interpolation=interp, interpolation_stage=space,
+              cmap='RdBu_r')
+    ax.set_title(f"interpolation='{interp}'\nstage='{space}'")
+plt.show()
+
+# %%
+# The `Hanning <https://en.wikipedia.org/wiki/Hann_function>`_ filter smooths
+# the underlying data so that each new pixel is a weighted average of the
+# original underlying pixels.  This greatly reduces the Moiré patterns.
+# However, when the *interpolation_stage* is set to 'data', it also introduces
+# white regions to the image that are not in the original data, both in the
+# alternating bands on the left hand side of the image, and in the boundary
+# between the red and blue of the large circles in the middle of the image.
+# The interpolation at the 'rgba' stage has a different artifact, with the alternating
+# bands coming out a shade of purple; even though purple is not in the original
+# colormap, it is what we perceive when a blue and red stripe are close to each
+# other.
+#
+# The default for the *interpolation* keyword argument is 'auto' which
+# will choose a Hanning filter if the image is being down-sampled or up-sampled
+# by less than a factor of three.  The default *interpolation_stage* keyword
+# argument is also 'auto', and for images that are down-sampled or
+# up-sampled by less than a factor of three it defaults to 'rgba'
+# interpolation.
+#
+# Anti-aliasing filtering is needed, even when up-sampling. The following image
+# up-samples 450 data pixels to 530 rendered pixels. You may note a grid of
+# line-like artifacts which stem from the extra pixels that had to be made up.
+# Since interpolation is 'nearest' they are the same as a neighboring line of
+# pixels and thus stretch the image locally so that it looks distorted.
+
+fig, ax = plt.subplots(figsize=(6.8, 6.8))
+ax.imshow(alarge, interpolation='nearest', cmap='grey')
+ax.set_title("up-sampled by factor a 1.17, interpolation='nearest'")
+
+# %%
+# Better anti-aliasing algorithms can reduce this effect:
+fig, ax = plt.subplots(figsize=(6.8, 6.8))
+ax.imshow(alarge, interpolation='auto', cmap='grey')
+ax.set_title("up-sampled by factor a 1.17, interpolation='auto'")
+
+# %%
+# Apart from the default 'hanning' anti-aliasing, `~.Axes.imshow` supports a
+# number of different interpolation algorithms, which may work better or
+# worse depending on the underlying data.
+fig, axs = plt.subplots(1, 2, figsize=(7, 4), layout='constrained')
+for ax, interp in zip(axs, ['hanning', 'lanczos']):
+    ax.imshow(alarge, interpolation=interp, cmap='gray')
+    ax.set_title(f"interpolation='{interp}'")
+
+# %%
+# A final example shows the desirability of performing the anti-aliasing at the
+# RGBA stage when using non-trivial interpolation kernels.  In the following,
+# the data in the upper 100 rows is exactly 0.0, and data in the inner circle
+# is exactly 2.0. If we perform the *interpolation_stage* in 'data' space and
+# use an anti-aliasing filter (first panel), then floating point imprecision
+# makes some of the data values just a bit less than zero or a bit more than
+# 2.0, and they get assigned the under- or over- colors. This can be avoided if
+# you do not use an anti-aliasing filter (*interpolation* set set to
+# 'nearest'), however, that makes the part of the data susceptible to Moiré
+# patterns much worse (second panel).  Therefore, we recommend the default
+# *interpolation* of 'hanning'/'auto', and *interpolation_stage* of
+# 'rgba'/'auto' for most down-sampling situations (last panel).
+
+a = alarge + 1
+cmap = plt.get_cmap('RdBu_r')
+cmap.set_under('yellow')
+cmap.set_over('limegreen')
+
+fig, axs = plt.subplots(1, 3, figsize=(7, 3), layout='constrained')
+for ax, interp, space in zip(axs.flat,
+                             ['hanning', 'nearest', 'hanning', ],
+                             ['data', 'data', 'rgba']):
+    im = ax.imshow(a, interpolation=interp, interpolation_stage=space,
+                   cmap=cmap, vmin=0, vmax=2)
+    title = f"interpolation='{interp}'\nstage='{space}'"
+    if ax == axs[2]:
+        title += '\nDefault'
+    ax.set_title(title, fontsize='medium')
+fig.colorbar(im, ax=axs, extend='both', shrink=0.8)
+
+# %%
+# Up-sampling
+# ===========
+#
+# If we up-sample, then we can represent a data pixel by many image or screen pixels.
+# In the following example, we greatly over-sample the small data matrix.
+
+np.random.seed(19680801+9)
+a = np.random.rand(4, 4)
+
+fig, axs = plt.subplots(1, 2, figsize=(6.5, 4), layout='compressed')
+axs[0].imshow(asmall, cmap='viridis')
+axs[0].set_title("interpolation='auto'\nstage='auto'")
+axs[1].imshow(asmall, cmap='viridis', interpolation="nearest",
+              interpolation_stage="data")
+axs[1].set_title("interpolation='nearest'\nstage='data'")
+plt.show()
+
+# %%
+# The *interpolation* keyword argument can be used to smooth the pixels if desired.
+# However, that almost always is better done in data space, rather than in RGBA space
+# where the filters can cause colors that are not in the colormap to be the result of
+# the interpolation.  In the following example, note that when the interpolation is
+# 'rgba' there are red colors as interpolation artifacts.  Therefore, the default
+# 'auto' choice for *interpolation_stage* is set to be the same as 'data'
+# when up-sampling is greater than a factor of three:
+
+fig, axs = plt.subplots(1, 2, figsize=(6.5, 4), layout='compressed')
+im = axs[0].imshow(a, cmap='viridis', interpolation='sinc', interpolation_stage='data')
+axs[0].set_title("interpolation='sinc'\nstage='data'\n(default for upsampling)")
+axs[1].imshow(a, cmap='viridis', interpolation='sinc', interpolation_stage='rgba')
+axs[1].set_title("interpolation='sinc'\nstage='rgba'")
+fig.colorbar(im, ax=axs, shrink=0.7, extend='both')
+
+# %%
+# Avoiding resampling
+# ===================
+#
+# It is possible to avoid resampling data when making an image.  One method is
+# to simply save to a vector backend (pdf, eps, svg) and use
+# ``interpolation='none'``.  Vector backends allow embedded images, however be
+# aware that some vector image viewers may smooth image pixels.
+#
+# The second method is to exactly match the size of your axes to the size of
+# your data. The following figure is exactly 2 inches by 2 inches, and
+# if the dpi is 200, then the 400x400 data is not resampled at all. If you download
+# this image and zoom in an image viewer you should see the individual stripes
+# on the left hand side (note that if you have a non hiDPI or "retina" screen, the html
+# may serve a 100x100 version of the image, which will be downsampled.)
+
+fig = plt.figure(figsize=(2, 2))
+ax = fig.add_axes([0, 0, 1, 1])
+ax.imshow(aa[:400, :400], cmap='RdBu_r', interpolation='nearest')
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow`
diff --git a/galleries/examples/images_contours_and_fields/image_clip_path.py b/galleries/examples/images_contours_and_fields/image_clip_path.py
new file mode 100644
index 000000000000..d66ec535b1c3
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_clip_path.py
@@ -0,0 +1,32 @@
+"""
+============================
+Clipping images with patches
+============================
+
+Demo of image that's been clipped by a circular patch.
+"""
+import matplotlib.pyplot as plt
+
+import matplotlib.cbook as cbook
+import matplotlib.patches as patches
+
+with cbook.get_sample_data('grace_hopper.jpg') as image_file:
+    image = plt.imread(image_file)
+
+fig, ax = plt.subplots()
+im = ax.imshow(image)
+patch = patches.Circle((260, 200), radius=200, transform=ax.transData)
+im.set_clip_path(patch)
+
+ax.axis('off')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.artist.Artist.set_clip_path`
diff --git a/galleries/examples/images_contours_and_fields/image_demo.py b/galleries/examples/images_contours_and_fields/image_demo.py
new file mode 100644
index 000000000000..4111adfa2c4e
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_demo.py
@@ -0,0 +1,181 @@
+"""
+========================
+Many ways to plot images
+========================
+
+The most common way to plot images in Matplotlib is with
+`~.axes.Axes.imshow`. The following examples demonstrate much of the
+functionality of imshow and the many images you can create.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+from matplotlib.patches import PathPatch
+from matplotlib.path import Path
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# %%
+# First we'll generate a simple bivariate normal distribution.
+
+delta = 0.025
+x = y = np.arange(-3.0, 3.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+fig, ax = plt.subplots()
+im = ax.imshow(Z, interpolation='bilinear', cmap="RdYlBu",
+               origin='lower', extent=[-3, 3, -3, 3],
+               vmax=abs(Z).max(), vmin=-abs(Z).max())
+
+plt.show()
+
+
+# %%
+# It is also possible to show images of pictures.
+
+# A sample image
+with cbook.get_sample_data('grace_hopper.jpg') as image_file:
+    image = plt.imread(image_file)
+
+# And another image, using 256x256 16-bit integers.
+w, h = 256, 256
+with cbook.get_sample_data('s1045.ima.gz') as datafile:
+    s = datafile.read()
+A = np.frombuffer(s, np.uint16).astype(float).reshape((w, h))
+extent = (0, 25, 0, 25)
+
+fig, ax = plt.subplot_mosaic([
+    ['hopper', 'mri']
+], figsize=(7, 3.5))
+
+ax['hopper'].imshow(image)
+ax['hopper'].axis('off')  # clear x-axis and y-axis
+
+im = ax['mri'].imshow(A, cmap="hot", origin='upper', extent=extent)
+
+markers = [(15.9, 14.5), (16.8, 15)]
+x, y = zip(*markers)
+ax['mri'].plot(x, y, 'o')
+
+ax['mri'].set_title('MRI')
+
+plt.show()
+
+
+# %%
+# Interpolating images
+# --------------------
+#
+# It is also possible to interpolate images before displaying them. Be careful,
+# as this may manipulate the way your data looks, but it can be helpful for
+# achieving the look you want. Below we'll display the same (small) array,
+# interpolated with three different interpolation methods.
+#
+# The center of the pixel at A[i, j] is plotted at (i+0.5, i+0.5).  If you
+# are using interpolation='nearest', the region bounded by (i, j) and
+# (i+1, j+1) will have the same color.  If you are using interpolation,
+# the pixel center will have the same color as it does with nearest, but
+# other pixels will be interpolated between the neighboring pixels.
+#
+# To prevent edge effects when doing interpolation, Matplotlib pads the input
+# array with identical pixels around the edge: if you have a 5x5 array with
+# colors a-y as below::
+#
+#   a b c d e
+#   f g h i j
+#   k l m n o
+#   p q r s t
+#   u v w x y
+#
+# Matplotlib computes the interpolation and resizing on the padded array ::
+#
+#   a a b c d e e
+#   a a b c d e e
+#   f f g h i j j
+#   k k l m n o o
+#   p p q r s t t
+#   o u v w x y y
+#   o u v w x y y
+#
+# and then extracts the central region of the result.  (Extremely old versions
+# of Matplotlib (<0.63) did not pad the array, but instead adjusted the view
+# limits to hide the affected edge areas.)
+#
+# This approach allows plotting the full extent of an array without
+# edge effects, and for example to layer multiple images of different
+# sizes over one another with different interpolation methods -- see
+# :doc:`/gallery/images_contours_and_fields/layer_images`.  It also implies
+# a performance hit, as this new temporary, padded array must be created.
+# Sophisticated interpolation also implies a performance hit; for maximal
+# performance or very large images, interpolation='nearest' is suggested.
+
+A = np.random.rand(5, 5)
+
+fig, axs = plt.subplots(1, 3, figsize=(10, 3))
+for ax, interp in zip(axs, ['nearest', 'bilinear', 'bicubic']):
+    ax.imshow(A, interpolation=interp)
+    ax.set_title(interp.capitalize())
+    ax.grid(True)
+
+plt.show()
+
+
+# %%
+# You can specify whether images should be plotted with the array origin
+# x[0, 0] in the upper left or lower right by using the origin parameter.
+# You can also control the default setting image.origin in your
+# :ref:`matplotlibrc file <customizing-with-matplotlibrc-files>`. For more on
+# this topic see the :ref:`complete guide on origin and extent
+# <imshow_extent>`.
+
+x = np.arange(120).reshape((10, 12))
+
+interp = 'bilinear'
+fig, axs = plt.subplots(nrows=2, sharex=True, figsize=(3, 5))
+axs[0].set_title('blue should be up')
+axs[0].imshow(x, origin='upper', interpolation=interp)
+
+axs[1].set_title('blue should be down')
+axs[1].imshow(x, origin='lower', interpolation=interp)
+plt.show()
+
+
+# %%
+# Finally, we'll show an image using a clip path.
+
+delta = 0.025
+x = y = np.arange(-3.0, 3.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
+patch = PathPatch(path, facecolor='none')
+
+fig, ax = plt.subplots()
+ax.add_patch(patch)
+
+im = ax.imshow(Z, interpolation='bilinear', cmap="gray",
+               origin='lower', extent=[-3, 3, -3, 3],
+               clip_path=patch, clip_on=True)
+im.set_clip_path(patch)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.artist.Artist.set_clip_path`
+#    - `matplotlib.patches.PathPatch`
diff --git a/galleries/examples/images_contours_and_fields/image_exact_placement.py b/galleries/examples/images_contours_and_fields/image_exact_placement.py
new file mode 100644
index 000000000000..a3b314a7c7c3
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_exact_placement.py
@@ -0,0 +1,165 @@
+"""
+=========================================
+Placing images, preserving relative sizes
+=========================================
+
+By default Matplotlib resamples images created with `~.Axes.imshow` to
+fit inside the parent `~.axes.Axes`.  This can mean that images that have very
+different original sizes can end up appearing similar in size.
+
+This example shows how to keep the images the same relative size, or
+how to make the images keep exactly the same pixels as the original data.
+
+Preserving relative sizes
+=========================
+
+By default the two images are made a similar size, despite one being 1.5 times the width
+of the other:
+"""
+
+# sphinx_gallery_thumbnail_number = -1
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as mpatches
+
+# make the data:
+N = 450
+x = np.arange(N) / N
+y = np.arange(N) / N
+
+X, Y = np.meshgrid(x, y)
+R = np.sqrt(X**2 + Y**2)
+f0 = 5
+k = 100
+a = np.sin(np.pi * 2 * (f0 * R + k * R**2 / 2))
+A = a[:100, :300]
+B = A[:40, :200]
+
+# default layout: both axes have the same size
+fig, axs = plt.subplots(1, 2, facecolor='aliceblue')
+
+axs[0].imshow(A, vmin=-1, vmax=1)
+axs[1].imshow(B, vmin=-1, vmax=1)
+
+
+def annotate_rect(ax):
+    # add a rectangle that is the size of the B matrix
+    rect = mpatches.Rectangle((0, 0), 200, 40, linewidth=1,
+                              edgecolor='r', facecolor='none')
+    ax.add_patch(rect)
+    return rect
+
+annotate_rect(axs[0])
+
+# %%
+# Note that both images have an aspect ratio of 1 (i.e. pixels are square), but
+# pixels sizes differ because the images are scaled to the same width.
+#
+# If the size of the images are amenable, we can preserve the relative sizes of two
+# images by using either the *width_ratio* or *height_ratio* of the subplots.  Which
+# one you use depends on the shape of the image and the size of the figure.
+# We can control the relative sizes using the *width_ratios* argument *if* the images
+# are wider than they are tall and shown side by side, as is the case here.
+#
+# While we are making changes, let us also make the aspect ratio of the figure closer
+# to the aspect ratio of the axes using *figsize* so that the figure does not have so
+# much white space. Note that you could alternatively trim extra blank space when
+# saving a figure by passing ``bbox_inches="tight"`` to `~.Figure.savefig`.
+
+fig, axs = plt.subplots(1, 2, width_ratios=[300/200, 1],
+                        figsize=(6.4, 2), facecolor='aliceblue')
+
+axs[0].imshow(A, vmin=-1, vmax=1)
+annotate_rect(axs[0])
+
+axs[1].imshow(B, vmin=-1, vmax=1)
+# %%
+# Given that the data subsample is in the upper left of the larger image,
+# it might make sense if the top of the smaller Axes aligned with the top of the larger.
+# This can be done manually by using `~.Axes.set_anchor`, and using "NW" (for
+# northwest).
+
+fig, axs = plt.subplots(1, 2, width_ratios=[300/200, 1],
+                        figsize=(6.4, 2), facecolor='aliceblue')
+
+axs[0].imshow(A, vmin=-1, vmax=1)
+annotate_rect(axs[0])
+
+axs[0].set_anchor('NW')
+axs[1].imshow(B, vmin=-1, vmax=1)
+axs[1].set_anchor('NW')
+
+# %%
+# Explicit placement
+# ==================
+# The above approach with adjusting ``figsize`` and ``width_ratios`` does
+# not generalize well, because it needs manual parameter tuning, and
+# possibly even code changes to using ``height_ratios`` instead of
+# ``width_ratios`` depending on the aspects and layout of the images.
+#
+# We can alternative calculate positions explicitly and place Axes at absolute
+# coordinates using `~.Figure.add_axes`. This takes the position in the form
+# ``[left bottom width height]`` and is in
+# :ref:`figure coordinates <transforms_tutorial>`. In the following, we
+# determine figure size and Axes positions so that one image data point
+# is rendered exactly to one figure pixel.
+
+dpi = 100  # 100 pixels is one inch
+
+# All variables from here are in pixels:
+buffer = 0.35 * dpi  # pixels
+
+# Get the position of A axes
+left = buffer
+bottom = buffer
+ny, nx = np.shape(A)
+posA = [left, bottom, nx, ny]
+# we know this is tallest, so we can already get the fig height (in pixels)
+fig_height = bottom + ny + buffer
+
+# place the B axes to the right of the A axes
+left = left + nx + buffer
+
+ny, nx = np.shape(B)
+# align the bottom so that the top lines up with the top of the A axes:
+bottom = fig_height - buffer - ny
+posB = [left, bottom, nx, ny]
+
+# now we can get the fig width (in pixels)
+fig_width = left + nx + buffer
+
+# figsize must be in inches:
+fig = plt.figure(figsize=(fig_width / dpi, fig_height / dpi), facecolor='aliceblue')
+
+# the position posA must be normalized by the figure width and height:
+ax = fig.add_axes([posA[0] / fig_width, posA[1] / fig_height,
+                   posA[2] / fig_width, posA[3] / fig_height])
+ax.imshow(A, vmin=-1, vmax=1)
+annotate_rect(ax)
+
+ax = fig.add_axes([posB[0] / fig_width, posB[1] / fig_height,
+                   posB[2] / fig_width, posB[3] / fig_height])
+ax.imshow(B, vmin=-1, vmax=1)
+plt.show()
+# %%
+# Inspection of the image will show that it is exactly 3* 35 + 300 + 200 = 605
+# pixels wide, and 2 * 35 + 100 = 170 pixels high (or twice that if the 2x
+# version is used by the browser instead).  The images should be rendered with
+# exactly 1 pixel per data point (or four, if 2x).
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow`
+#    - `matplotlib.figure.Figure.add_axes`
+#
+# .. tags::
+#
+#    component: figure
+#    component: axes
+#    styling: position
+#    plot-type: image
diff --git a/galleries/examples/images_contours_and_fields/image_masked.py b/galleries/examples/images_contours_and_fields/image_masked.py
new file mode 100644
index 000000000000..876e32dc0e93
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_masked.py
@@ -0,0 +1,82 @@
+"""
+========================
+Image with masked values
+========================
+
+imshow with masked array input and out-of-range colors.
+
+The second subplot illustrates the use of BoundaryNorm to
+get a filled contour effect.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as colors
+
+# compute some interesting data
+x0, x1 = -5, 5
+y0, y1 = -3, 3
+x = np.linspace(x0, x1, 500)
+y = np.linspace(y0, y1, 500)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+# Set up a colormap:
+palette = plt.colormaps["gray"].with_extremes(over='r', under='g', bad='b')
+# Alternatively, we could use
+# palette.set_bad(alpha = 0.0)
+# to make the bad region transparent.  This is the default.
+# If you comment out all the palette.set* lines, you will see
+# all the defaults; under and over will be colored with the
+# first and last colors in the palette, respectively.
+Zm = np.ma.masked_where(Z > 1.2, Z)
+
+# By setting vmin and vmax in the norm, we establish the
+# range to which the regular palette color scale is applied.
+# Anything above that range is colored based on palette.set_over, etc.
+
+# set up the Axes objects
+fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(6, 5.4))
+
+# plot using 'continuous' colormap
+im = ax1.imshow(Zm, interpolation='bilinear',
+                cmap=palette,
+                norm=colors.Normalize(vmin=-1.0, vmax=1.0),
+                aspect='auto',
+                origin='lower',
+                extent=[x0, x1, y0, y1])
+ax1.set_title('Green=low, Red=high, Blue=masked')
+cbar = fig.colorbar(im, extend='both', shrink=0.9, ax=ax1)
+cbar.set_label('uniform')
+ax1.tick_params(axis='x', labelbottom=False)
+
+# Plot using a small number of colors, with unevenly spaced boundaries.
+im = ax2.imshow(Zm, interpolation='nearest',
+                cmap=palette,
+                norm=colors.BoundaryNorm([-1, -0.5, -0.2, 0, 0.2, 0.5, 1],
+                                         ncolors=palette.N),
+                aspect='auto',
+                origin='lower',
+                extent=[x0, x1, y0, y1])
+ax2.set_title('With BoundaryNorm')
+cbar = fig.colorbar(im, extend='both', spacing='proportional',
+                    shrink=0.9, ax=ax2)
+cbar.set_label('proportional')
+
+fig.suptitle('imshow, with out-of-range and masked data')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors.BoundaryNorm`
+#    - `matplotlib.colorbar.Colorbar.set_label`
diff --git a/galleries/examples/images_contours_and_fields/image_nonuniform.py b/galleries/examples/images_contours_and_fields/image_nonuniform.py
new file mode 100644
index 000000000000..0901b1a7b89c
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_nonuniform.py
@@ -0,0 +1,71 @@
+"""
+================
+Image nonuniform
+================
+
+`.NonUniformImage` is a generalized image with pixels on a rectilinear grid,
+i.e. it allows rows and columns with individual heights / widths.
+
+There is no high-level plotting method on `~.axes.Axes` or `.pyplot` to
+create a NonUniformImage. Instead, you have to instantiate the image
+explicitly add it to the Axes using `.Axes.add_image`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.image import NonUniformImage
+
+interp = 'nearest'
+
+# Linear x array for cell centers:
+x = np.linspace(-4, 4, 9)
+
+# Highly nonlinear x array:
+x2 = x**3
+
+y = np.linspace(-4, 4, 9)
+
+z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)
+
+fig, axs = plt.subplots(nrows=2, ncols=2, layout='constrained')
+fig.suptitle('NonUniformImage class', fontsize='large')
+ax = axs[0, 0]
+im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
+                     cmap="Purples")
+im.set_data(x, y, z)
+ax.add_image(im)
+ax.set_xlim(-4, 4)
+ax.set_ylim(-4, 4)
+ax.set_title(interp)
+
+ax = axs[0, 1]
+im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
+                     cmap="Purples")
+im.set_data(x2, y, z)
+ax.add_image(im)
+ax.set_xlim(-64, 64)
+ax.set_ylim(-4, 4)
+ax.set_title(interp)
+
+interp = 'bilinear'
+
+ax = axs[1, 0]
+im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
+                     cmap="Purples")
+im.set_data(x, y, z)
+ax.add_image(im)
+ax.set_xlim(-4, 4)
+ax.set_ylim(-4, 4)
+ax.set_title(interp)
+
+ax = axs[1, 1]
+im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
+                     cmap="Purples")
+im.set_data(x2, y, z)
+ax.add_image(im)
+ax.set_xlim(-64, 64)
+ax.set_ylim(-4, 4)
+ax.set_title(interp)
+
+plt.show()
diff --git a/galleries/examples/images_contours_and_fields/image_transparency_blend.py b/galleries/examples/images_contours_and_fields/image_transparency_blend.py
new file mode 100644
index 000000000000..31d1d50f757c
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_transparency_blend.py
@@ -0,0 +1,125 @@
+"""
+==========================================
+Blend transparency with color in 2D images
+==========================================
+
+Blend transparency with color to highlight parts of data with imshow.
+
+A common use for `matplotlib.pyplot.imshow` is to plot a 2D statistical
+map. The function makes it easy to visualize a 2D matrix as an image and add
+transparency to the output. For example, one can plot a statistic (such as a
+t-statistic) and color the transparency of each pixel according to its p-value.
+This example demonstrates how you can achieve this effect.
+
+First we will generate some data, in this case, we'll create two 2D "blobs"
+in a 2D grid. One blob will be positive, and the other negative.
+"""
+
+import matplotlib.pyplot as plt
+# sphinx_gallery_thumbnail_number = 3
+import numpy as np
+
+from matplotlib.colors import Normalize
+
+
+def normal_pdf(x, mean, var):
+    return np.exp(-(x - mean)**2 / (2*var))
+
+
+# Generate the space in which the blobs will live
+xmin, xmax, ymin, ymax = (0, 100, 0, 100)
+n_bins = 100
+xx = np.linspace(xmin, xmax, n_bins)
+yy = np.linspace(ymin, ymax, n_bins)
+
+# Generate the blobs. The range of the values is roughly -.0002 to .0002
+means_high = [20, 50]
+means_low = [50, 60]
+var = [150, 200]
+
+gauss_x_high = normal_pdf(xx, means_high[0], var[0])
+gauss_y_high = normal_pdf(yy, means_high[1], var[0])
+
+gauss_x_low = normal_pdf(xx, means_low[0], var[1])
+gauss_y_low = normal_pdf(yy, means_low[1], var[1])
+
+weights = (np.outer(gauss_y_high, gauss_x_high)
+           - np.outer(gauss_y_low, gauss_x_low))
+
+# We'll also create a grey background into which the pixels will fade
+greys = np.full((*weights.shape, 3), 70, dtype=np.uint8)
+
+# First we'll plot these blobs using ``imshow`` without transparency.
+vmax = np.abs(weights).max()
+imshow_kwargs = {
+    'vmax': vmax,
+    'vmin': -vmax,
+    'cmap': 'RdYlBu',
+    'extent': (xmin, xmax, ymin, ymax),
+}
+
+fig, ax = plt.subplots()
+ax.imshow(greys)
+ax.imshow(weights, **imshow_kwargs)
+ax.set_axis_off()
+
+# %%
+# Blending in transparency
+# ========================
+#
+# The simplest way to include transparency when plotting data with
+# `matplotlib.pyplot.imshow` is to pass an array matching the shape of
+# the data to the ``alpha`` argument. For example, we'll create a gradient
+# moving from left to right below.
+
+# Create an alpha channel of linearly increasing values moving to the right.
+alphas = np.ones(weights.shape)
+alphas[:, 30:] = np.linspace(1, 0, 70)
+
+# Create the figure and image
+# Note that the absolute values may be slightly different
+fig, ax = plt.subplots()
+ax.imshow(greys)
+ax.imshow(weights, alpha=alphas, **imshow_kwargs)
+ax.set_axis_off()
+
+# %%
+# Using transparency to highlight values with high amplitude
+# ==========================================================
+#
+# Finally, we'll recreate the same plot, but this time we'll use transparency
+# to highlight the extreme values in the data. This is often used to highlight
+# data points with smaller p-values. We'll also add in contour lines to
+# highlight the image values.
+
+# Create an alpha channel based on weight values
+# Any value whose absolute value is > .0001 will have zero transparency
+alphas = Normalize(0, .3, clip=True)(np.abs(weights))
+alphas = np.clip(alphas, .4, 1)  # alpha value clipped at the bottom at .4
+
+# Create the figure and image
+# Note that the absolute values may be slightly different
+fig, ax = plt.subplots()
+ax.imshow(greys)
+ax.imshow(weights, alpha=alphas, **imshow_kwargs)
+
+# Add contour lines to further highlight different levels.
+ax.contour(weights[::-1], levels=[-.1, .1], colors='k', linestyles='-')
+ax.set_axis_off()
+plt.show()
+
+ax.contour(weights[::-1], levels=[-.0001, .0001], colors='k', linestyles='-')
+ax.set_axis_off()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.colors.Normalize`
+#    - `matplotlib.axes.Axes.set_axis_off`
diff --git a/galleries/examples/images_contours_and_fields/image_zcoord.py b/galleries/examples/images_contours_and_fields/image_zcoord.py
new file mode 100644
index 000000000000..ffc336a653cc
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/image_zcoord.py
@@ -0,0 +1,46 @@
+"""
+==================================
+Modifying the coordinate formatter
+==================================
+
+Modify the coordinate formatter to report the image "z" value of the nearest
+pixel given x and y.  This functionality is built in by default; this example
+just showcases how to customize the `~.axes.Axes.format_coord` function.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+X = 10*np.random.rand(5, 3)
+
+fig, ax = plt.subplots()
+ax.imshow(X)
+
+
+def format_coord(x, y):
+    col = round(x)
+    row = round(y)
+    nrows, ncols = X.shape
+    if 0 <= col < ncols and 0 <= row < nrows:
+        z = X[row, col]
+        return f'x={x:1.4f}, y={y:1.4f}, z={z:1.4f}'
+    else:
+        return f'x={x:1.4f}, y={y:1.4f}'
+
+
+ax.format_coord = format_coord
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.format_coord`
+#    - `matplotlib.axes.Axes.imshow`
diff --git a/galleries/examples/images_contours_and_fields/interpolation_methods.py b/galleries/examples/images_contours_and_fields/interpolation_methods.py
new file mode 100644
index 000000000000..dea1b474801c
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/interpolation_methods.py
@@ -0,0 +1,50 @@
+"""
+=========================
+Interpolations for imshow
+=========================
+
+This example displays the difference between interpolation methods for
+`~.axes.Axes.imshow`.
+
+If *interpolation* is None, it defaults to the :rc:`image.interpolation`.
+If the interpolation is ``'none'``, then no interpolation is performed for the
+Agg, ps and pdf backends. Other backends will default to ``'auto'``.
+
+For the Agg, ps and pdf backends, ``interpolation='none'`` works well when a
+big image is scaled down, while ``interpolation='nearest'`` works well when
+a small image is scaled up.
+
+See :doc:`/gallery/images_contours_and_fields/image_antialiasing` for a
+discussion on the default ``interpolation='auto'`` option.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+methods = [None, 'none', 'nearest', 'bilinear', 'bicubic', 'spline16',
+           'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
+           'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos']
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+grid = np.random.rand(4, 4)
+
+fig, axs = plt.subplots(nrows=3, ncols=6, figsize=(9, 6),
+                        subplot_kw={'xticks': [], 'yticks': []})
+
+for ax, interp_method in zip(axs.flat, methods):
+    ax.imshow(grid, interpolation=interp_method, cmap='viridis')
+    ax.set_title(str(interp_method))
+
+plt.tight_layout()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
diff --git a/galleries/examples/images_contours_and_fields/irregulardatagrid.py b/galleries/examples/images_contours_and_fields/irregulardatagrid.py
new file mode 100644
index 000000000000..d1c3e9b5e8a0
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/irregulardatagrid.py
@@ -0,0 +1,95 @@
+"""
+=======================================
+Contour plot of irregularly spaced data
+=======================================
+
+Comparison of a contour plot of irregularly spaced data interpolated
+on a regular grid versus a tricontour plot for an unstructured triangular grid.
+
+Since `~.axes.Axes.contour` and `~.axes.Axes.contourf` expect the data to live
+on a regular grid, plotting a contour plot of irregularly spaced data requires
+different methods. The two options are:
+
+* Interpolate the data to a regular grid first. This can be done with on-board
+  means, e.g. via `~.tri.LinearTriInterpolator` or using external functionality
+  e.g. via `scipy.interpolate.griddata`. Then plot the interpolated data with
+  the usual `~.axes.Axes.contour`.
+* Directly use `~.axes.Axes.tricontour` or `~.axes.Axes.tricontourf` which will
+  perform a triangulation internally.
+
+This example shows both methods in action.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+np.random.seed(19680801)
+npts = 200
+ngridx = 100
+ngridy = 200
+x = np.random.uniform(-2, 2, npts)
+y = np.random.uniform(-2, 2, npts)
+z = x * np.exp(-x**2 - y**2)
+
+fig, (ax1, ax2) = plt.subplots(nrows=2)
+
+# -----------------------
+# Interpolation on a grid
+# -----------------------
+# A contour plot of irregularly spaced data coordinates
+# via interpolation on a grid.
+
+# Create grid values first.
+xi = np.linspace(-2.1, 2.1, ngridx)
+yi = np.linspace(-2.1, 2.1, ngridy)
+
+# Linearly interpolate the data (x, y) on a grid defined by (xi, yi).
+triang = tri.Triangulation(x, y)
+interpolator = tri.LinearTriInterpolator(triang, z)
+Xi, Yi = np.meshgrid(xi, yi)
+zi = interpolator(Xi, Yi)
+
+# Note that scipy.interpolate provides means to interpolate data on a grid
+# as well. The following would be an alternative to the four lines above:
+# from scipy.interpolate import griddata
+# zi = griddata((x, y), z, (xi[None, :], yi[:, None]), method='linear')
+
+ax1.contour(xi, yi, zi, levels=14, linewidths=0.5, colors='k')
+cntr1 = ax1.contourf(xi, yi, zi, levels=14, cmap="RdBu_r")
+
+fig.colorbar(cntr1, ax=ax1)
+ax1.plot(x, y, 'ko', ms=3)
+ax1.set(xlim=(-2, 2), ylim=(-2, 2))
+ax1.set_title('grid and contour (%d points, %d grid points)' %
+              (npts, ngridx * ngridy))
+
+# ----------
+# Tricontour
+# ----------
+# Directly supply the unordered, irregularly spaced coordinates
+# to tricontour.
+
+ax2.tricontour(x, y, z, levels=14, linewidths=0.5, colors='k')
+cntr2 = ax2.tricontourf(x, y, z, levels=14, cmap="RdBu_r")
+
+fig.colorbar(cntr2, ax=ax2)
+ax2.plot(x, y, 'ko', ms=3)
+ax2.set(xlim=(-2, 2), ylim=(-2, 2))
+ax2.set_title('tricontour (%d points)' % npts)
+
+plt.subplots_adjust(hspace=0.5)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.axes.Axes.tricontour` / `matplotlib.pyplot.tricontour`
+#    - `matplotlib.axes.Axes.tricontourf` / `matplotlib.pyplot.tricontourf`
diff --git a/galleries/examples/images_contours_and_fields/layer_images.py b/galleries/examples/images_contours_and_fields/layer_images.py
new file mode 100644
index 000000000000..dd1062f0a881
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/layer_images.py
@@ -0,0 +1,51 @@
+"""
+================================
+Layer images with alpha blending
+================================
+
+Layer images above one another using alpha blending
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def func3(x, y):
+    return (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2 + y**2))
+
+
+# make these smaller to increase the resolution
+dx, dy = 0.05, 0.05
+
+x = np.arange(-3.0, 3.0, dx)
+y = np.arange(-3.0, 3.0, dy)
+X, Y = np.meshgrid(x, y)
+
+# when layering multiple images, the images need to have the same
+# extent.  This does not mean they need to have the same shape, but
+# they both need to render to the same coordinate system determined by
+# xmin, xmax, ymin, ymax.  Note if you use different interpolations
+# for the images their apparent extent could be different due to
+# interpolation edge effects
+
+extent = np.min(x), np.max(x), np.min(y), np.max(y)
+fig = plt.figure(frameon=False)
+
+Z1 = np.add.outer(range(8), range(8)) % 2  # chessboard
+im1 = plt.imshow(Z1, cmap="gray", interpolation='nearest',
+                 extent=extent)
+
+Z2 = func3(X, Y)
+
+im2 = plt.imshow(Z2, cmap="viridis", alpha=.9, interpolation='bilinear',
+                 extent=extent)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
diff --git a/galleries/examples/images_contours_and_fields/matshow.py b/galleries/examples/images_contours_and_fields/matshow.py
new file mode 100644
index 000000000000..4d2debf1f6b0
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/matshow.py
@@ -0,0 +1,25 @@
+"""
+===============================
+Visualize matrices with matshow
+===============================
+
+`~.axes.Axes.matshow` visualizes a 2D matrix or array as color-coded image.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# a 2D array with linearly increasing values on the diagonal
+a = np.diag(range(15))
+
+plt.matshow(a)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
diff --git a/galleries/examples/images_contours_and_fields/multi_image.py b/galleries/examples/images_contours_and_fields/multi_image.py
new file mode 100644
index 000000000000..11be73f3a267
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/multi_image.py
@@ -0,0 +1,64 @@
+"""
+=================================
+Multiple images with one colorbar
+=================================
+
+Use a single colorbar for multiple images.
+
+Currently, a colorbar can only be connected to one image. The connection
+guarantees that the data coloring is consistent with the colormap scale
+(i.e. the color of value *x* in the colormap is used for coloring a data
+value *x* in the image).
+
+If we want one colorbar to be representative for multiple images, we have
+to explicitly ensure consistent data coloring by using the same
+data-to-color pipeline for all the images. We ensure this by explicitly
+creating a `matplotlib.colorizer.Colorizer` object that we pass to all
+the image plotting methods.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colorizer as mcolorizer
+import matplotlib.colors as mcolors
+
+np.random.seed(19680801)
+
+datasets = [
+    (i+1)/10 * np.random.rand(10, 20)
+    for i in range(4)
+]
+
+fig, axs = plt.subplots(2, 2)
+fig.suptitle('Multiple images')
+
+# create a colorizer with a predefined norm to be shared across all images
+norm = mcolors.Normalize(vmin=np.min(datasets), vmax=np.max(datasets))
+colorizer = mcolorizer.Colorizer(norm=norm)
+
+images = []
+for ax, data in zip(axs.flat, datasets):
+    images.append(ax.imshow(data, colorizer=colorizer))
+
+fig.colorbar(images[0], ax=axs, orientation='horizontal', fraction=.1)
+
+plt.show()
+
+# %%
+# The colors are now kept consistent across all images when changing the
+# scaling, e.g. through zooming in the colorbar or via the "edit axis,
+# curves and images parameters" GUI of the Qt backend. Additionally,
+# if the colormap of the colorizer is changed, (e.g. through the "edit
+# axis, curves and images parameters" GUI of the Qt backend) this change
+# propagates to the other plots and the colorbar.
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colorizer.Colorizer`
+#    - `matplotlib.colors.Normalize`
diff --git a/galleries/examples/images_contours_and_fields/pcolor_demo.py b/galleries/examples/images_contours_and_fields/pcolor_demo.py
new file mode 100644
index 000000000000..7a8ef35caf96
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/pcolor_demo.py
@@ -0,0 +1,122 @@
+"""
+=============
+pcolor images
+=============
+
+`~.Axes.pcolor` generates 2D image-style plots, as illustrated below.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.colors import LogNorm
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# %%
+# A simple pcolor demo
+# --------------------
+
+Z = np.random.rand(6, 10)
+
+fig, (ax0, ax1) = plt.subplots(2, 1)
+
+c = ax0.pcolor(Z)
+ax0.set_title('default: no edges')
+
+c = ax1.pcolor(Z, edgecolors='k', linewidths=4)
+ax1.set_title('thick edges')
+
+fig.tight_layout()
+plt.show()
+
+# %%
+# Comparing pcolor with similar functions
+# ---------------------------------------
+#
+# Demonstrates similarities between `~.axes.Axes.pcolor`,
+# `~.axes.Axes.pcolormesh`, `~.axes.Axes.imshow` and
+# `~.axes.Axes.pcolorfast` for drawing quadrilateral grids.
+# Note that we call ``imshow`` with ``aspect="auto"`` so that it doesn't force
+# the data pixels to be square (the default is ``aspect="equal"``).
+
+# make these smaller to increase the resolution
+dx, dy = 0.15, 0.05
+
+# generate 2 2d grids for the x & y bounds
+y, x = np.mgrid[-3:3+dy:dy, -3:3+dx:dx]
+z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)
+# x and y are bounds, so z should be the value *inside* those bounds.
+# Therefore, remove the last value from the z array.
+z = z[:-1, :-1]
+z_min, z_max = -abs(z).max(), abs(z).max()
+
+fig, axs = plt.subplots(2, 2)
+
+ax = axs[0, 0]
+c = ax.pcolor(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
+ax.set_title('pcolor')
+fig.colorbar(c, ax=ax)
+
+ax = axs[0, 1]
+c = ax.pcolormesh(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
+ax.set_title('pcolormesh')
+fig.colorbar(c, ax=ax)
+
+ax = axs[1, 0]
+c = ax.imshow(z, cmap='RdBu', vmin=z_min, vmax=z_max,
+              extent=[x.min(), x.max(), y.min(), y.max()],
+              interpolation='nearest', origin='lower', aspect='auto')
+ax.set_title('image (nearest, aspect="auto")')
+fig.colorbar(c, ax=ax)
+
+ax = axs[1, 1]
+c = ax.pcolorfast(x, y, z, cmap='RdBu', vmin=z_min, vmax=z_max)
+ax.set_title('pcolorfast')
+fig.colorbar(c, ax=ax)
+
+fig.tight_layout()
+plt.show()
+
+
+# %%
+# Pcolor with a log scale
+# -----------------------
+#
+# The following shows pcolor plots with a log scale.
+
+N = 100
+X, Y = np.meshgrid(np.linspace(-3, 3, N), np.linspace(-2, 2, N))
+
+# A low hump with a spike coming out.
+# Needs to have z/colour axis on a log scale, so we see both hump and spike.
+# A linear scale only shows the spike.
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
+Z = Z1 + 50 * Z2
+
+fig, (ax0, ax1) = plt.subplots(2, 1)
+
+c = ax0.pcolor(X, Y, Z, shading='auto',
+               norm=LogNorm(vmin=Z.min(), vmax=Z.max()), cmap='PuBu_r')
+fig.colorbar(c, ax=ax0)
+
+c = ax1.pcolor(X, Y, Z, cmap='PuBu_r', shading='auto')
+fig.colorbar(c, ax=ax1)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolor` / `matplotlib.pyplot.pcolor`
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
+#    - `matplotlib.axes.Axes.pcolorfast`
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors.LogNorm`
diff --git a/galleries/examples/images_contours_and_fields/pcolormesh_grids.py b/galleries/examples/images_contours_and_fields/pcolormesh_grids.py
new file mode 100644
index 000000000000..212b807dbf90
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/pcolormesh_grids.py
@@ -0,0 +1,127 @@
+"""
+============================
+pcolormesh grids and shading
+============================
+
+`.axes.Axes.pcolormesh` and `~.axes.Axes.pcolor` have a few options for
+how grids are laid out and the shading between the grid points.
+
+Generally, if *Z* has shape *(M, N)* then the grid *X* and *Y* can be
+specified with either shape *(M+1, N+1)* or *(M, N)*, depending on the
+argument for the ``shading`` keyword argument.  Note that below we specify
+vectors *x* as either length N or N+1 and *y* as length M or M+1, and
+`~.axes.Axes.pcolormesh` internally makes the mesh matrices *X* and *Y* from
+the input vectors.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# Flat Shading
+# ------------
+#
+# The grid specification with the least assumptions is ``shading='flat'``
+# and if the grid is one larger than the data in each dimension, i.e. has shape
+# *(M+1, N+1)*.  In that case *X* and *Y* specify the corners of quadrilaterals
+# that are colored with the values in *Z*. Here we specify the edges of the
+# *(3, 5)* quadrilaterals with *X* and *Y* that are *(4, 6)*.
+
+nrows = 3
+ncols = 5
+Z = np.arange(nrows * ncols).reshape(nrows, ncols)
+x = np.arange(ncols + 1)
+y = np.arange(nrows + 1)
+
+fig, ax = plt.subplots()
+ax.pcolormesh(x, y, Z, shading='flat', vmin=Z.min(), vmax=Z.max())
+
+
+def _annotate(ax, x, y, title):
+    # this all gets repeated below:
+    X, Y = np.meshgrid(x, y)
+    ax.plot(X.flat, Y.flat, 'o', color='m')
+    ax.set_xlim(-0.7, 5.2)
+    ax.set_ylim(-0.7, 3.2)
+    ax.set_title(title)
+
+_annotate(ax, x, y, "shading='flat'")
+
+
+# %%
+# Flat Shading, same shape grid
+# -----------------------------
+#
+# Often, however, data is provided where *X* and *Y* match the shape of *Z*.
+# While this makes sense for other ``shading`` types, it is not permitted
+# when ``shading='flat'``. Historically, Matplotlib silently dropped the last
+# row and column of *Z* in this case, to match Matlab's behavior. If this
+# behavior is still desired, simply drop the last row and column manually:
+
+x = np.arange(ncols)  # note *not* ncols + 1 as before
+y = np.arange(nrows)
+fig, ax = plt.subplots()
+ax.pcolormesh(x, y, Z[:-1, :-1], shading='flat', vmin=Z.min(), vmax=Z.max())
+_annotate(ax, x, y, "shading='flat': X, Y, C same shape")
+
+# %%
+# Nearest Shading, same shape grid
+# --------------------------------
+#
+# Usually, dropping a row and column of data is not what the user means when
+# they make *X*, *Y* and *Z* all the same shape.  For this case, Matplotlib
+# allows ``shading='nearest'`` and centers the colored quadrilaterals on the
+# grid points.
+#
+# If a grid that is not the correct shape is passed with ``shading='nearest'``
+# an error is raised.
+
+fig, ax = plt.subplots()
+ax.pcolormesh(x, y, Z, shading='nearest', vmin=Z.min(), vmax=Z.max())
+_annotate(ax, x, y, "shading='nearest'")
+
+# %%
+# Auto Shading
+# ------------
+#
+# It's possible that the user would like the code to automatically choose which
+# to use, in this case ``shading='auto'`` will decide whether to use 'flat' or
+# 'nearest' shading based on the shapes of *X*, *Y* and *Z*.
+
+fig, axs = plt.subplots(2, 1, layout='constrained')
+ax = axs[0]
+x = np.arange(ncols)
+y = np.arange(nrows)
+ax.pcolormesh(x, y, Z, shading='auto', vmin=Z.min(), vmax=Z.max())
+_annotate(ax, x, y, "shading='auto'; X, Y, Z: same shape (nearest)")
+
+ax = axs[1]
+x = np.arange(ncols + 1)
+y = np.arange(nrows + 1)
+ax.pcolormesh(x, y, Z, shading='auto', vmin=Z.min(), vmax=Z.max())
+_annotate(ax, x, y, "shading='auto'; X, Y one larger than Z (flat)")
+
+# %%
+# Gouraud Shading
+# ---------------
+#
+# `Gouraud shading <https://en.wikipedia.org/wiki/Gouraud_shading>`_ can also
+# be specified, where the color in the quadrilaterals is linearly interpolated
+# between the grid points.  The shapes of *X*, *Y*, *Z* must be the same.
+
+fig, ax = plt.subplots(layout='constrained')
+x = np.arange(ncols)
+y = np.arange(nrows)
+ax.pcolormesh(x, y, Z, shading='gouraud', vmin=Z.min(), vmax=Z.max())
+_annotate(ax, x, y, "shading='gouraud'; X, Y same shape as Z")
+
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
diff --git a/galleries/examples/images_contours_and_fields/pcolormesh_levels.py b/galleries/examples/images_contours_and_fields/pcolormesh_levels.py
new file mode 100644
index 000000000000..23d47e5230d2
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/pcolormesh_levels.py
@@ -0,0 +1,132 @@
+"""
+==========
+pcolormesh
+==========
+
+`.axes.Axes.pcolormesh` allows you to generate 2D image-style plots.
+Note that it is faster than the similar `~.axes.Axes.pcolor`.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.colors import BoundaryNorm
+from matplotlib.ticker import MaxNLocator
+
+# %%
+# Basic pcolormesh
+# ----------------
+#
+# We usually specify a pcolormesh by defining the edge of quadrilaterals and
+# the value of the quadrilateral.  Note that here *x* and *y* each have one
+# extra element than Z in the respective dimension.
+
+np.random.seed(19680801)
+Z = np.random.rand(6, 10)
+x = np.arange(-0.5, 10, 1)  # len = 11
+y = np.arange(4.5, 11, 1)  # len = 7
+
+fig, ax = plt.subplots()
+ax.pcolormesh(x, y, Z)
+
+# %%
+# Non-rectilinear pcolormesh
+# --------------------------
+#
+# Note that we can also specify matrices for *X* and *Y* and have
+# non-rectilinear quadrilaterals.
+
+x = np.arange(-0.5, 10, 1)  # len = 11
+y = np.arange(4.5, 11, 1)  # len = 7
+X, Y = np.meshgrid(x, y)
+X = X + 0.2 * Y  # tilt the coordinates.
+Y = Y + 0.3 * X
+
+fig, ax = plt.subplots()
+ax.pcolormesh(X, Y, Z)
+
+# %%
+# Centered Coordinates
+# ---------------------
+#
+# Often a user wants to pass *X* and *Y* with the same sizes as *Z* to
+# `.axes.Axes.pcolormesh`. This is also allowed if ``shading='auto'`` is
+# passed (default set by :rc:`pcolor.shading`). Pre Matplotlib 3.3,
+# ``shading='flat'`` would drop the last column and row of *Z*, but now gives
+# an error. If this is really what you want, then simply drop the last row and
+# column of Z manually:
+
+x = np.arange(10)  # len = 10
+y = np.arange(6)  # len = 6
+X, Y = np.meshgrid(x, y)
+
+fig, axs = plt.subplots(2, 1, sharex=True, sharey=True)
+axs[0].pcolormesh(X, Y, Z, vmin=np.min(Z), vmax=np.max(Z), shading='auto')
+axs[0].set_title("shading='auto' = 'nearest'")
+axs[1].pcolormesh(X, Y, Z[:-1, :-1], vmin=np.min(Z), vmax=np.max(Z),
+                  shading='flat')
+axs[1].set_title("shading='flat'")
+
+# %%
+# Making levels using Norms
+# -------------------------
+#
+# Shows how to combine Normalization and Colormap instances to draw
+# "levels" in `.axes.Axes.pcolor`, `.axes.Axes.pcolormesh`
+# and `.axes.Axes.imshow` type plots in a similar
+# way to the levels keyword argument to contour/contourf.
+
+# make these smaller to increase the resolution
+dx, dy = 0.05, 0.05
+
+# generate 2 2d grids for the x & y bounds
+y, x = np.mgrid[slice(1, 5 + dy, dy),
+                slice(1, 5 + dx, dx)]
+
+z = np.sin(x)**10 + np.cos(10 + y*x) * np.cos(x)
+
+# x and y are bounds, so z should be the value *inside* those bounds.
+# Therefore, remove the last value from the z array.
+z = z[:-1, :-1]
+levels = MaxNLocator(nbins=15).tick_values(z.min(), z.max())
+
+
+# pick the desired colormap, sensible levels, and define a normalization
+# instance which takes data values and translates those into levels.
+cmap = plt.colormaps['PiYG']
+norm = BoundaryNorm(levels, ncolors=cmap.N, clip=True)
+
+fig, (ax0, ax1) = plt.subplots(nrows=2)
+
+im = ax0.pcolormesh(x, y, z, cmap=cmap, norm=norm)
+fig.colorbar(im, ax=ax0)
+ax0.set_title('pcolormesh with levels')
+
+
+# contours are *point* based plots, so convert our bound into point
+# centers
+cf = ax1.contourf(x[:-1, :-1] + dx/2.,
+                  y[:-1, :-1] + dy/2., z, levels=levels,
+                  cmap=cmap)
+fig.colorbar(cf, ax=ax1)
+ax1.set_title('contourf with levels')
+
+# adjust spacing between subplots so `ax1` title and `ax0` tick labels
+# don't overlap
+fig.tight_layout()
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.colors.BoundaryNorm`
+#    - `matplotlib.ticker.MaxNLocator`
diff --git a/galleries/examples/images_contours_and_fields/plot_streamplot.py b/galleries/examples/images_contours_and_fields/plot_streamplot.py
new file mode 100644
index 000000000000..0128b6369b4a
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/plot_streamplot.py
@@ -0,0 +1,174 @@
+"""
+==========
+Streamplot
+==========
+
+A stream plot, or streamline plot, is used to display 2D vector fields. This
+example shows a few features of the `~.axes.Axes.streamplot` function:
+
+* Varying the color along a streamline.
+* Varying the density of streamlines.
+* Varying the line width along a streamline.
+* Controlling the starting points of streamlines.
+* Streamlines skipping masked regions and NaN values.
+* Unbroken streamlines even when exceeding the limit of lines within a single
+  grid cell.
+"""
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+w = 3
+Y, X = np.mgrid[-w:w:100j, -w:w:100j]
+U = -1 - X**2 + Y
+V = 1 + X - Y**2
+speed = np.sqrt(U**2 + V**2)
+
+fig, axs = plt.subplots(4, 2, figsize=(7, 12), height_ratios=[1, 1, 1, 2])
+axs = axs.flat
+
+#  Varying density along a streamline
+axs[0].streamplot(X, Y, U, V, density=[0.5, 1])
+axs[0].set_title('Varying Density')
+
+# Varying color along a streamline
+strm = axs[1].streamplot(X, Y, U, V, color=U, linewidth=2, cmap='autumn')
+fig.colorbar(strm.lines)
+axs[1].set_title('Varying Color')
+
+#  Varying line width along a streamline
+lw = 5*speed / speed.max()
+axs[2].streamplot(X, Y, U, V, density=0.6, color='k', linewidth=lw, num_arrows=5)
+axs[2].set_title('Varying Line Width')
+
+# Controlling the starting points of the streamlines
+seed_points = np.array([[-2, -1, 0, 1, 2, -1], [-2, -1,  0, 1, 2, 2]])
+
+strm = axs[3].streamplot(X, Y, U, V, color=U, linewidth=2,
+                         cmap='autumn', start_points=seed_points.T)
+fig.colorbar(strm.lines)
+axs[3].set_title('Controlling Starting Points')
+
+# Displaying the starting points with blue symbols.
+axs[3].plot(seed_points[0], seed_points[1], 'bo')
+axs[3].set(xlim=(-w, w), ylim=(-w, w))
+
+# Adding more than one arrow to each streamline
+axs[4].streamplot(X, Y, U, V, num_arrows=3)
+axs[4].set_title('Multiple arrows')
+
+axs[5].axis("off")
+
+# Create a mask
+mask = np.zeros(U.shape, dtype=bool)
+mask[40:60, 40:60] = True
+U[:20, :20] = np.nan
+U = np.ma.array(U, mask=mask)
+
+axs[6].streamplot(X, Y, U, V, color='r')
+axs[6].set_title('Streamplot with Masking')
+
+axs[6].imshow(~mask, extent=(-w, w, -w, w), alpha=0.5, cmap='gray',
+              aspect='auto')
+axs[6].set_aspect('equal')
+
+axs[7].streamplot(X, Y, U, V, broken_streamlines=False)
+axs[7].set_title('Streamplot with unbroken streamlines')
+
+plt.tight_layout()
+# plt.show()
+
+# %%
+# Streamline computation
+# ----------------------
+#
+# The streamlines are computed by integrating along the provided vector field
+# from the seed points, which are either automatically generated or manually
+# specified. The accuracy and smoothness of the streamlines can be adjusted using
+# the ``integration_max_step_scale`` and ``integration_max_error_scale`` optional
+# parameters. See the `~.axes.Axes.streamplot` function documentation for more
+# details.
+#
+# This example shows how adjusting the maximum allowed step size and error for
+# the integrator changes the appearance of the streamline. The differences can
+# be subtle, but can be observed particularly where the streamlines have
+# high curvature (as shown in the zoomed in region).
+
+# Linear potential flow over a lifting cylinder
+n = 50
+x, y = np.meshgrid(np.linspace(-2, 2, n), np.linspace(-3, 3, n))
+th = np.arctan2(y, x)
+r = np.sqrt(x**2 + y**2)
+vr = -np.cos(th) / r**2
+vt = -np.sin(th) / r**2 - 1 / r
+vx = vr * np.cos(th) - vt * np.sin(th) + 1.0
+vy = vr * np.sin(th) + vt * np.cos(th)
+
+# Seed points
+n_seed = 50
+seed_pts = np.column_stack((np.full(n_seed, -1.75), np.linspace(-2, 2, n_seed)))
+
+_, axs = plt.subplots(3, 1, figsize=(6, 14))
+th_circ = np.linspace(0, 2 * np.pi, 100)
+for ax, max_val in zip(axs, [0.05, 1, 5]):
+    ax_ins = ax.inset_axes([0.0, 0.7, 0.3, 0.35])
+    for ax_curr, is_inset in zip([ax, ax_ins], [False, True]):
+        t_start = time.time()
+        ax_curr.streamplot(
+            x,
+            y,
+            vx,
+            vy,
+            start_points=seed_pts,
+            broken_streamlines=False,
+            arrowsize=1e-10,
+            linewidth=2 if is_inset else 0.6,
+            color="k",
+            integration_max_step_scale=max_val,
+            integration_max_error_scale=max_val,
+        )
+        if is_inset:
+            t_total = time.time() - t_start
+
+        # Draw the cylinder
+        ax_curr.fill(
+            np.cos(th_circ),
+            np.sin(th_circ),
+            color="w",
+            ec="k",
+            lw=6 if is_inset else 2,
+        )
+
+        # Set axis properties
+        ax_curr.set_aspect("equal")
+
+    # Label properties of each circle
+    text = f"integration_max_step_scale: {max_val}\n" \
+        f"integration_max_error_scale: {max_val}\n" \
+        f"streamplot time: {t_total:.2f} sec"
+    if max_val == 1:
+        text += "\n(default)"
+    ax.text(0.0, 0.0, text, ha="center", va="center")
+
+    # Set axis limits and show zoomed region
+    ax_ins.set_xlim(-1.2, -0.7)
+    ax_ins.set_ylim(-0.8, -0.4)
+    ax_ins.set_yticks(())
+    ax_ins.set_xticks(())
+
+    ax.set_ylim(-1.5, 1.5)
+    ax.axis("off")
+    ax.indicate_inset_zoom(ax_ins, ec="k")
+
+plt.tight_layout()
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.streamplot` / `matplotlib.pyplot.streamplot`
+#    - `matplotlib.gridspec.GridSpec`
diff --git a/galleries/examples/images_contours_and_fields/quadmesh_demo.py b/galleries/examples/images_contours_and_fields/quadmesh_demo.py
new file mode 100644
index 000000000000..85876765834d
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/quadmesh_demo.py
@@ -0,0 +1,51 @@
+"""
+=============
+QuadMesh Demo
+=============
+
+`~.axes.Axes.pcolormesh` uses a `~matplotlib.collections.QuadMesh`,
+a faster generalization of `~.axes.Axes.pcolor`, but with some restrictions.
+
+This demo illustrates a bug in quadmesh with masked data.
+"""
+
+import numpy as np
+
+from matplotlib import pyplot as plt
+
+n = 12
+x = np.linspace(-1.5, 1.5, n)
+y = np.linspace(-1.5, 1.5, n * 2)
+X, Y = np.meshgrid(x, y)
+Qx = np.cos(Y) - np.cos(X)
+Qz = np.sin(Y) + np.sin(X)
+Z = np.sqrt(X**2 + Y**2) / 5
+Z = (Z - Z.min()) / (Z.max() - Z.min())
+
+# The color array can include masked values.
+Zm = np.ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
+
+fig, axs = plt.subplots(nrows=1, ncols=3)
+axs[0].pcolormesh(Qx, Qz, Z, shading='gouraud')
+axs[0].set_title('Without masked values')
+
+# You can control the color of the masked region.
+cmap = plt.colormaps[plt.rcParams['image.cmap']].with_extremes(bad='y')
+axs[1].pcolormesh(Qx, Qz, Zm, shading='gouraud', cmap=cmap)
+axs[1].set_title('With masked values')
+
+# Or use the default, which is transparent.
+axs[2].pcolormesh(Qx, Qz, Zm, shading='gouraud')
+axs[2].set_title('With masked values')
+
+fig.tight_layout()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
diff --git a/galleries/examples/images_contours_and_fields/quiver_demo.py b/galleries/examples/images_contours_and_fields/quiver_demo.py
new file mode 100644
index 000000000000..784cfb0dbc79
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/quiver_demo.py
@@ -0,0 +1,63 @@
+"""
+=======================================
+Advanced quiver and quiverkey functions
+=======================================
+
+Demonstrates some more advanced options for `~.axes.Axes.quiver`.  For a simple
+example refer to :doc:`/gallery/images_contours_and_fields/quiver_simple_demo`.
+
+Note: The plot autoscaling does not take into account the arrows, so
+those on the boundaries may reach out of the picture.  This is not an easy
+problem to solve in a perfectly general way.  The recommended workaround is to
+manually set the Axes limits in such a case.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+X, Y = np.meshgrid(np.arange(0, 2 * np.pi, .2), np.arange(0, 2 * np.pi, .2))
+U = np.cos(X)
+V = np.sin(Y)
+
+# %%
+
+fig1, ax1 = plt.subplots()
+ax1.set_title('Arrows scale with plot width, not view')
+Q = ax1.quiver(X, Y, U, V, units='width')
+qk = ax1.quiverkey(Q, 0.9, 0.9, 2, r'$2 \frac{m}{s}$', labelpos='E',
+                   coordinates='figure')
+
+# %%
+
+fig2, ax2 = plt.subplots()
+ax2.set_title("pivot='mid'; every third arrow; units='inches'")
+Q = ax2.quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
+               pivot='mid', units='inches')
+qk = ax2.quiverkey(Q, 0.9, 0.9, 1, r'$1 \frac{m}{s}$', labelpos='E',
+                   coordinates='figure')
+ax2.scatter(X[::3, ::3], Y[::3, ::3], color='r', s=5)
+
+# %%
+
+# sphinx_gallery_thumbnail_number = 3
+
+fig3, ax3 = plt.subplots()
+ax3.set_title("pivot='tip'; scales with x view")
+M = np.hypot(U, V)
+Q = ax3.quiver(X, Y, U, V, M, units='x', pivot='tip', width=0.022,
+               scale=1 / 0.15)
+qk = ax3.quiverkey(Q, 0.9, 0.9, 1, r'$1 \frac{m}{s}$', labelpos='E',
+                   coordinates='figure')
+ax3.scatter(X, Y, color='0.5', s=1)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.quiver` / `matplotlib.pyplot.quiver`
+#    - `matplotlib.axes.Axes.quiverkey` / `matplotlib.pyplot.quiverkey`
diff --git a/galleries/examples/images_contours_and_fields/quiver_simple_demo.py b/galleries/examples/images_contours_and_fields/quiver_simple_demo.py
new file mode 100644
index 000000000000..a17a7f2e87f7
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/quiver_simple_demo.py
@@ -0,0 +1,33 @@
+"""
+==================
+Quiver Simple Demo
+==================
+
+A simple example of a `~.axes.Axes.quiver` plot with a `~.axes.Axes.quiverkey`.
+
+For more advanced options refer to
+:doc:`/gallery/images_contours_and_fields/quiver_demo`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+X = np.arange(-10, 10, 1)
+Y = np.arange(-10, 10, 1)
+U, V = np.meshgrid(X, Y)
+
+fig, ax = plt.subplots()
+q = ax.quiver(X, Y, U, V)
+ax.quiverkey(q, X=0.3, Y=1.1, U=10,
+             label='Quiver key, length = 10', labelpos='E')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.quiver` / `matplotlib.pyplot.quiver`
+#    - `matplotlib.axes.Axes.quiverkey` / `matplotlib.pyplot.quiverkey`
diff --git a/galleries/examples/images_contours_and_fields/shading_example.py b/galleries/examples/images_contours_and_fields/shading_example.py
new file mode 100644
index 000000000000..cb3e5393e1c1
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/shading_example.py
@@ -0,0 +1,74 @@
+"""
+===============
+Shading example
+===============
+
+Example showing how to make shaded relief plots like Mathematica_ or
+`Generic Mapping Tools`_.
+
+.. _Mathematica: http://reference.wolfram.com/mathematica/ref/ReliefPlot.html
+.. _Generic Mapping Tools: https://www.generic-mapping-tools.org/
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from matplotlib.colors import LightSource
+
+
+def main():
+    # Test data
+    x, y = np.mgrid[-5:5:0.05, -5:5:0.05]
+    z = 5 * (np.sqrt(x**2 + y**2) + np.sin(x**2 + y**2))
+
+    dem = cbook.get_sample_data('jacksboro_fault_dem.npz')
+    elev = dem['elevation']
+
+    fig = compare(z, plt.colormaps["copper"])
+    fig.suptitle('HSV Blending Looks Best with Smooth Surfaces', y=0.95)
+
+    fig = compare(elev, plt.colormaps["gist_earth"], ve=0.05)
+    fig.suptitle('Overlay Blending Looks Best with Rough Surfaces', y=0.95)
+
+    plt.show()
+
+
+def compare(z, cmap, ve=1):
+    # Create subplots and hide ticks
+    fig, axs = plt.subplots(ncols=2, nrows=2)
+    for ax in axs.flat:
+        ax.set(xticks=[], yticks=[])
+
+    # Illuminate the scene from the northwest
+    ls = LightSource(azdeg=315, altdeg=45)
+
+    axs[0, 0].imshow(z, cmap=cmap)
+    axs[0, 0].set(xlabel='Colormapped Data')
+
+    axs[0, 1].imshow(ls.hillshade(z, vert_exag=ve), cmap='gray')
+    axs[0, 1].set(xlabel='Illumination Intensity')
+
+    rgb = ls.shade(z, cmap=cmap, vert_exag=ve, blend_mode='hsv')
+    axs[1, 0].imshow(rgb)
+    axs[1, 0].set(xlabel='Blend Mode: "hsv" (default)')
+
+    rgb = ls.shade(z, cmap=cmap, vert_exag=ve, blend_mode='overlay')
+    axs[1, 1].imshow(rgb)
+    axs[1, 1].set(xlabel='Blend Mode: "overlay"')
+
+    return fig
+
+
+if __name__ == '__main__':
+    main()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors.LightSource`
+#    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
diff --git a/galleries/examples/images_contours_and_fields/specgram_demo.py b/galleries/examples/images_contours_and_fields/specgram_demo.py
new file mode 100644
index 000000000000..5add9172cf2a
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/specgram_demo.py
@@ -0,0 +1,52 @@
+"""
+===========
+Spectrogram
+===========
+
+Plotting a spectrogram using `~.Axes.specgram`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+dt = 0.0005
+t = np.arange(0.0, 20.5, dt)
+s1 = np.sin(2 * np.pi * 100 * t)
+s2 = 2 * np.sin(2 * np.pi * 400 * t)
+
+# create a transient "chirp"
+s2[t <= 10] = s2[12 <= t] = 0
+
+# add some noise into the mix
+nse = 0.01 * np.random.random(size=len(t))
+
+x = s1 + s2 + nse  # the signal
+NFFT = 1024  # the length of the windowing segments
+Fs = 1/dt  # the sampling frequency
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True)
+ax1.plot(t, x)
+ax1.set_ylabel('Signal')
+
+Pxx, freqs, bins, im = ax2.specgram(x, NFFT=NFFT, Fs=Fs)
+# The `specgram` method returns 4 objects. They are:
+# - Pxx: the periodogram
+# - freqs: the frequency vector
+# - bins: the centers of the time bins
+# - im: the .image.AxesImage instance representing the data in the plot
+ax2.set_xlabel('Time (s)')
+ax2.set_ylabel('Frequency (Hz)')
+ax2.set_xlim(0, 20)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.specgram` / `matplotlib.pyplot.specgram`
diff --git a/galleries/examples/images_contours_and_fields/spy_demos.py b/galleries/examples/images_contours_and_fields/spy_demos.py
new file mode 100644
index 000000000000..ceb4b3d63e26
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/spy_demos.py
@@ -0,0 +1,40 @@
+"""
+=========
+Spy Demos
+=========
+
+Plot the sparsity pattern of arrays.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, axs = plt.subplots(2, 2)
+ax1 = axs[0, 0]
+ax2 = axs[0, 1]
+ax3 = axs[1, 0]
+ax4 = axs[1, 1]
+
+x = np.random.randn(20, 20)
+x[5, :] = 0.
+x[:, 12] = 0.
+
+ax1.spy(x, markersize=5)
+ax2.spy(x, precision=0.1, markersize=5)
+
+ax3.spy(x)
+ax4.spy(x, precision=0.1)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.spy` / `matplotlib.pyplot.spy`
diff --git a/galleries/examples/images_contours_and_fields/tricontour_demo.py b/galleries/examples/images_contours_and_fields/tricontour_demo.py
new file mode 100644
index 000000000000..3459382caad6
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/tricontour_demo.py
@@ -0,0 +1,161 @@
+"""
+===============
+Tricontour Demo
+===============
+
+Contour plots of unstructured triangular grids.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+# %%
+# Creating a Triangulation without specifying the triangles results in the
+# Delaunay triangulation of the points.
+
+# First create the x and y coordinates of the points.
+n_angles = 48
+n_radii = 8
+min_radius = 0.25
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+
+x = (radii * np.cos(angles)).flatten()
+y = (radii * np.sin(angles)).flatten()
+z = (np.cos(radii) * np.cos(3 * angles)).flatten()
+
+# Create the Triangulation; no triangles so Delaunay triangulation created.
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+# %%
+# pcolor plot.
+
+fig1, ax1 = plt.subplots()
+ax1.set_aspect('equal')
+tcf = ax1.tricontourf(triang, z)
+fig1.colorbar(tcf)
+ax1.tricontour(triang, z, colors='k')
+ax1.set_title('Contour plot of Delaunay triangulation')
+
+
+# %%
+# You could also specify hatching patterns along with different cmaps.
+
+fig2, ax2 = plt.subplots()
+ax2.set_aspect("equal")
+tcf = ax2.tricontourf(
+    triang,
+    z,
+    hatches=["*", "-", "/", "//", "\\", None],
+    cmap="cividis"
+)
+fig2.colorbar(tcf)
+ax2.tricontour(triang, z, linestyles="solid", colors="k", linewidths=2.0)
+ax2.set_title("Hatched Contour plot of Delaunay triangulation")
+
+# %%
+# You could also generate hatching patterns labeled with no color.
+
+fig3, ax3 = plt.subplots()
+n_levels = 7
+tcf = ax3.tricontourf(
+    triang,
+    z,
+    n_levels,
+    colors="none",
+    hatches=[".", "/", "\\", None, "\\\\", "*"],
+)
+ax3.tricontour(triang, z, n_levels, colors="black", linestyles="-")
+
+
+# create a legend for the contour set
+artists, labels = tcf.legend_elements(str_format="{:2.1f}".format)
+ax3.legend(artists, labels, handleheight=2, framealpha=1)
+
+# %%
+# You can specify your own triangulation rather than perform a Delaunay
+# triangulation of the points, where each triangle is given by the indices of
+# the three points that make up the triangle, ordered in either a clockwise or
+# anticlockwise manner.
+
+xy = np.asarray([
+    [-0.101, 0.872], [-0.080, 0.883], [-0.069, 0.888], [-0.054, 0.890],
+    [-0.045, 0.897], [-0.057, 0.895], [-0.073, 0.900], [-0.087, 0.898],
+    [-0.090, 0.904], [-0.069, 0.907], [-0.069, 0.921], [-0.080, 0.919],
+    [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949],
+    [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959],
+    [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965],
+    [-0.097, 0.975], [-0.092, 0.984], [-0.101, 0.980], [-0.108, 0.980],
+    [-0.104, 0.987], [-0.102, 0.993], [-0.115, 1.001], [-0.099, 0.996],
+    [-0.101, 1.007], [-0.090, 1.010], [-0.087, 1.021], [-0.069, 1.021],
+    [-0.052, 1.022], [-0.052, 1.017], [-0.069, 1.010], [-0.064, 1.005],
+    [-0.048, 1.005], [-0.031, 1.005], [-0.031, 0.996], [-0.040, 0.987],
+    [-0.045, 0.980], [-0.052, 0.975], [-0.040, 0.973], [-0.026, 0.968],
+    [-0.020, 0.954], [-0.006, 0.947], [ 0.003, 0.935], [ 0.006, 0.926],
+    [ 0.005, 0.921], [ 0.022, 0.923], [ 0.033, 0.912], [ 0.029, 0.905],
+    [ 0.017, 0.900], [ 0.012, 0.895], [ 0.027, 0.893], [ 0.019, 0.886],
+    [ 0.001, 0.883], [-0.012, 0.884], [-0.029, 0.883], [-0.038, 0.879],
+    [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872],
+    [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933],
+    [-0.077, 0.990], [-0.059, 0.993]])
+x = np.degrees(xy[:, 0])
+y = np.degrees(xy[:, 1])
+x0 = -5
+y0 = 52
+z = np.exp(-0.01 * ((x - x0) ** 2 + (y - y0) ** 2))
+
+triangles = np.asarray([
+    [67, 66,  1], [65,  2, 66], [ 1, 66,  2], [64,  2, 65], [63,  3, 64],
+    [60, 59, 57], [ 2, 64,  3], [ 3, 63,  4], [ 0, 67,  1], [62,  4, 63],
+    [57, 59, 56], [59, 58, 56], [61, 60, 69], [57, 69, 60], [ 4, 62, 68],
+    [ 6,  5,  9], [61, 68, 62], [69, 68, 61], [ 9,  5, 70], [ 6,  8,  7],
+    [ 4, 70,  5], [ 8,  6,  9], [56, 69, 57], [69, 56, 52], [70, 10,  9],
+    [54, 53, 55], [56, 55, 53], [68, 70,  4], [52, 56, 53], [11, 10, 12],
+    [69, 71, 68], [68, 13, 70], [10, 70, 13], [51, 50, 52], [13, 68, 71],
+    [52, 71, 69], [12, 10, 13], [71, 52, 50], [71, 14, 13], [50, 49, 71],
+    [49, 48, 71], [14, 16, 15], [14, 71, 48], [17, 19, 18], [17, 20, 19],
+    [48, 16, 14], [48, 47, 16], [47, 46, 16], [16, 46, 45], [23, 22, 24],
+    [21, 24, 22], [17, 16, 45], [20, 17, 45], [21, 25, 24], [27, 26, 28],
+    [20, 72, 21], [25, 21, 72], [45, 72, 20], [25, 28, 26], [44, 73, 45],
+    [72, 45, 73], [28, 25, 29], [29, 25, 31], [43, 73, 44], [73, 43, 40],
+    [72, 73, 39], [72, 31, 25], [42, 40, 43], [31, 30, 29], [39, 73, 40],
+    [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38],
+    [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]])
+
+# %%
+# Rather than create a Triangulation object, can simply pass x, y and triangles
+# arrays to tripcolor directly.  It would be better to use a Triangulation
+# object if the same triangulation was to be used more than once to save
+# duplicated calculations.
+
+fig4, ax4 = plt.subplots()
+ax4.set_aspect('equal')
+tcf = ax4.tricontourf(x, y, triangles, z)
+fig4.colorbar(tcf)
+ax4.set_title('Contour plot of user-specified triangulation')
+ax4.set_xlabel('Longitude (degrees)')
+ax4.set_ylabel('Latitude (degrees)')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tricontourf` / `matplotlib.pyplot.tricontourf`
+#    - `matplotlib.tri.Triangulation`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#    - `matplotlib.contour.ContourSet.legend_elements`
diff --git a/galleries/examples/images_contours_and_fields/tricontour_smooth_delaunay.py b/galleries/examples/images_contours_and_fields/tricontour_smooth_delaunay.py
new file mode 100644
index 000000000000..0f1ee4938f8d
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/tricontour_smooth_delaunay.py
@@ -0,0 +1,155 @@
+"""
+==========================
+Tricontour Smooth Delaunay
+==========================
+
+Demonstrates high-resolution tricontouring of a random set of points;
+a `matplotlib.tri.TriAnalyzer` is used to improve the plot quality.
+
+The initial data points and triangular grid for this demo are:
+
+- a set of random points is instantiated, inside [-1, 1] x [-1, 1] square
+- A Delaunay triangulation of these points is then computed, of which a
+  random subset of triangles is masked out by the user (based on
+  *init_mask_frac* parameter). This simulates invalidated data.
+
+The proposed generic procedure to obtain a high resolution contouring of such
+a data set is the following:
+
+1. Compute an extended mask with a `matplotlib.tri.TriAnalyzer`, which will
+   exclude badly shaped (flat) triangles from the border of the
+   triangulation. Apply the mask to the triangulation (using set_mask).
+2. Refine and interpolate the data using a `matplotlib.tri.UniformTriRefiner`.
+3. Plot the refined data with `~.axes.Axes.tricontour`.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.tri import TriAnalyzer, Triangulation, UniformTriRefiner
+
+
+# ----------------------------------------------------------------------------
+# Analytical test function
+# ----------------------------------------------------------------------------
+def experiment_res(x, y):
+    """An analytic function representing experiment results."""
+    x = 2 * x
+    r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
+    theta1 = np.arctan2(0.5 - x, 0.5 - y)
+    r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
+    theta2 = np.arctan2(-x - 0.2, -y - 0.2)
+    z = (4 * (np.exp((r1/10)**2) - 1) * 30 * np.cos(3 * theta1) +
+         (np.exp((r2/10)**2) - 1) * 30 * np.cos(5 * theta2) +
+         2 * (x**2 + y**2))
+    return (np.max(z) - z) / (np.max(z) - np.min(z))
+
+# ----------------------------------------------------------------------------
+# Generating the initial data test points and triangulation for the demo
+# ----------------------------------------------------------------------------
+# User parameters for data test points
+
+# Number of test data points, tested from 3 to 5000 for subdiv=3
+n_test = 200
+
+# Number of recursive subdivisions of the initial mesh for smooth plots.
+# Values >3 might result in a very high number of triangles for the refine
+# mesh: new triangles numbering = (4**subdiv)*ntri
+subdiv = 3
+
+# Float > 0. adjusting the proportion of (invalid) initial triangles which will
+# be masked out. Enter 0 for no mask.
+init_mask_frac = 0.0
+
+# Minimum circle ratio - border triangles with circle ratio below this will be
+# masked if they touch a border. Suggested value 0.01; use -1 to keep all
+# triangles.
+min_circle_ratio = .01
+
+# Random points
+random_gen = np.random.RandomState(seed=19680801)
+x_test = random_gen.uniform(-1., 1., size=n_test)
+y_test = random_gen.uniform(-1., 1., size=n_test)
+z_test = experiment_res(x_test, y_test)
+
+# meshing with Delaunay triangulation
+tri = Triangulation(x_test, y_test)
+ntri = tri.triangles.shape[0]
+
+# Some invalid data are masked out
+mask_init = np.zeros(ntri, dtype=bool)
+masked_tri = random_gen.randint(0, ntri, int(ntri * init_mask_frac))
+mask_init[masked_tri] = True
+tri.set_mask(mask_init)
+
+
+# ----------------------------------------------------------------------------
+# Improving the triangulation before high-res plots: removing flat triangles
+# ----------------------------------------------------------------------------
+# masking badly shaped triangles at the border of the triangular mesh.
+mask = TriAnalyzer(tri).get_flat_tri_mask(min_circle_ratio)
+tri.set_mask(mask)
+
+# refining the data
+refiner = UniformTriRefiner(tri)
+tri_refi, z_test_refi = refiner.refine_field(z_test, subdiv=subdiv)
+
+# analytical 'results' for comparison
+z_expected = experiment_res(tri_refi.x, tri_refi.y)
+
+# for the demo: loading the 'flat' triangles for plot
+flat_tri = Triangulation(x_test, y_test)
+flat_tri.set_mask(~mask)
+
+
+# ----------------------------------------------------------------------------
+# Now the plots
+# ----------------------------------------------------------------------------
+# User options for plots
+plot_tri = True          # plot of base triangulation
+plot_masked_tri = True   # plot of excessively flat excluded triangles
+plot_refi_tri = False    # plot of refined triangulation
+plot_expected = False    # plot of analytical function values for comparison
+
+
+# Graphical options for tricontouring
+levels = np.arange(0., 1., 0.025)
+
+fig, ax = plt.subplots()
+ax.set_aspect('equal')
+ax.set_title("Filtering a Delaunay mesh\n"
+             "(application to high-resolution tricontouring)")
+
+# 1) plot of the refined (computed) data contours:
+ax.tricontour(tri_refi, z_test_refi, levels=levels, cmap='Blues',
+              linewidths=[2.0, 0.5, 1.0, 0.5])
+# 2) plot of the expected (analytical) data contours (dashed):
+if plot_expected:
+    ax.tricontour(tri_refi, z_expected, levels=levels, cmap='Blues',
+                  linestyles='--')
+# 3) plot of the fine mesh on which interpolation was done:
+if plot_refi_tri:
+    ax.triplot(tri_refi, color='0.97')
+# 4) plot of the initial 'coarse' mesh:
+if plot_tri:
+    ax.triplot(tri, color='0.7')
+# 4) plot of the unvalidated triangles from naive Delaunay Triangulation:
+if plot_masked_tri:
+    ax.triplot(flat_tri, color='red')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tricontour` / `matplotlib.pyplot.tricontour`
+#    - `matplotlib.axes.Axes.tricontourf` / `matplotlib.pyplot.tricontourf`
+#    - `matplotlib.axes.Axes.triplot` / `matplotlib.pyplot.triplot`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.Triangulation`
+#    - `matplotlib.tri.TriAnalyzer`
+#    - `matplotlib.tri.UniformTriRefiner`
diff --git a/galleries/examples/images_contours_and_fields/tricontour_smooth_user.py b/galleries/examples/images_contours_and_fields/tricontour_smooth_user.py
new file mode 100644
index 000000000000..2d973c0de108
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/tricontour_smooth_user.py
@@ -0,0 +1,89 @@
+"""
+======================
+Tricontour Smooth User
+======================
+
+Demonstrates high-resolution tricontouring on user-defined triangular grids
+with `matplotlib.tri.UniformTriRefiner`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+
+# ----------------------------------------------------------------------------
+# Analytical test function
+# ----------------------------------------------------------------------------
+def function_z(x, y):
+    r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
+    theta1 = np.arctan2(0.5 - x, 0.5 - y)
+    r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
+    theta2 = np.arctan2(-x - 0.2, -y - 0.2)
+    z = -(2 * (np.exp((r1 / 10)**2) - 1) * 30. * np.cos(7. * theta1) +
+          (np.exp((r2 / 10)**2) - 1) * 30. * np.cos(11. * theta2) +
+          0.7 * (x**2 + y**2))
+    return (np.max(z) - z) / (np.max(z) - np.min(z))
+
+# ----------------------------------------------------------------------------
+# Creating a Triangulation
+# ----------------------------------------------------------------------------
+# First create the x and y coordinates of the points.
+n_angles = 20
+n_radii = 10
+min_radius = 0.15
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+
+x = (radii * np.cos(angles)).flatten()
+y = (radii * np.sin(angles)).flatten()
+z = function_z(x, y)
+
+# Now create the Triangulation.
+# (Creating a Triangulation without specifying the triangles results in the
+# Delaunay triangulation of the points.)
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+# ----------------------------------------------------------------------------
+# Refine data
+# ----------------------------------------------------------------------------
+refiner = tri.UniformTriRefiner(triang)
+tri_refi, z_test_refi = refiner.refine_field(z, subdiv=3)
+
+# ----------------------------------------------------------------------------
+# Plot the triangulation and the high-res iso-contours
+# ----------------------------------------------------------------------------
+fig, ax = plt.subplots()
+ax.set_aspect('equal')
+ax.triplot(triang, lw=0.5, color='white')
+
+levels = np.arange(0., 1., 0.025)
+ax.tricontourf(tri_refi, z_test_refi, levels=levels, cmap='terrain')
+ax.tricontour(tri_refi, z_test_refi, levels=levels,
+              colors=['0.25', '0.5', '0.5', '0.5', '0.5'],
+              linewidths=[1.0, 0.5, 0.5, 0.5, 0.5])
+
+ax.set_title("High-resolution tricontouring")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tricontour` / `matplotlib.pyplot.tricontour`
+#    - `matplotlib.axes.Axes.tricontourf` / `matplotlib.pyplot.tricontourf`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.Triangulation`
+#    - `matplotlib.tri.UniformTriRefiner`
diff --git a/galleries/examples/images_contours_and_fields/trigradient_demo.py b/galleries/examples/images_contours_and_fields/trigradient_demo.py
new file mode 100644
index 000000000000..aa3cbc889eba
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/trigradient_demo.py
@@ -0,0 +1,103 @@
+"""
+================
+Trigradient Demo
+================
+
+Demonstrates computation of gradient with
+`matplotlib.tri.CubicTriInterpolator`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.tri import (CubicTriInterpolator, Triangulation,
+                            UniformTriRefiner)
+
+
+# ----------------------------------------------------------------------------
+# Electrical potential of a dipole
+# ----------------------------------------------------------------------------
+def dipole_potential(x, y):
+    """The electric dipole potential V, at position *x*, *y*."""
+    r_sq = x**2 + y**2
+    theta = np.arctan2(y, x)
+    z = np.cos(theta)/r_sq
+    return (np.max(z) - z) / (np.max(z) - np.min(z))
+
+
+# ----------------------------------------------------------------------------
+# Creating a Triangulation
+# ----------------------------------------------------------------------------
+# First create the x and y coordinates of the points.
+n_angles = 30
+n_radii = 10
+min_radius = 0.2
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+
+x = (radii*np.cos(angles)).flatten()
+y = (radii*np.sin(angles)).flatten()
+V = dipole_potential(x, y)
+
+# Create the Triangulation; no triangles specified so Delaunay triangulation
+# created.
+triang = Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+# ----------------------------------------------------------------------------
+# Refine data - interpolates the electrical potential V
+# ----------------------------------------------------------------------------
+refiner = UniformTriRefiner(triang)
+tri_refi, z_test_refi = refiner.refine_field(V, subdiv=3)
+
+# ----------------------------------------------------------------------------
+# Computes the electrical field (Ex, Ey) as gradient of electrical potential
+# ----------------------------------------------------------------------------
+tci = CubicTriInterpolator(triang, -V)
+# Gradient requested here at the mesh nodes but could be anywhere else:
+(Ex, Ey) = tci.gradient(triang.x, triang.y)
+E_norm = np.sqrt(Ex**2 + Ey**2)
+
+# ----------------------------------------------------------------------------
+# Plot the triangulation, the potential iso-contours and the vector field
+# ----------------------------------------------------------------------------
+fig, ax = plt.subplots()
+ax.set_aspect('equal')
+# Enforce the margins, and enlarge them to give room for the vectors.
+ax.use_sticky_edges = False
+ax.margins(0.07)
+
+ax.triplot(triang, color='0.8')
+
+levels = np.arange(0., 1., 0.01)
+ax.tricontour(tri_refi, z_test_refi, levels=levels, cmap='hot',
+              linewidths=[2.0, 1.0, 1.0, 1.0])
+# Plots direction of the electrical vector field
+ax.quiver(triang.x, triang.y, Ex/E_norm, Ey/E_norm,
+          units='xy', scale=10., zorder=3, color='blue',
+          width=0.007, headwidth=3., headlength=4.)
+
+ax.set_title('Gradient plot: an electrical dipole')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tricontour` / `matplotlib.pyplot.tricontour`
+#    - `matplotlib.axes.Axes.triplot` / `matplotlib.pyplot.triplot`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.Triangulation`
+#    - `matplotlib.tri.CubicTriInterpolator`
+#    - `matplotlib.tri.CubicTriInterpolator.gradient`
+#    - `matplotlib.tri.UniformTriRefiner`
+#    - `matplotlib.axes.Axes.quiver` / `matplotlib.pyplot.quiver`
diff --git a/galleries/examples/images_contours_and_fields/triinterp_demo.py b/galleries/examples/images_contours_and_fields/triinterp_demo.py
new file mode 100644
index 000000000000..a5bd31f775cd
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/triinterp_demo.py
@@ -0,0 +1,77 @@
+"""
+==============
+Triinterp Demo
+==============
+
+Interpolation from triangular grid to quad grid.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as mtri
+
+# Create triangulation.
+x = np.asarray([0, 1, 2, 3, 0.5, 1.5, 2.5, 1, 2, 1.5])
+y = np.asarray([0, 0, 0, 0, 1.0, 1.0, 1.0, 2, 2, 3.0])
+triangles = [[0, 1, 4], [1, 2, 5], [2, 3, 6], [1, 5, 4], [2, 6, 5], [4, 5, 7],
+             [5, 6, 8], [5, 8, 7], [7, 8, 9]]
+triang = mtri.Triangulation(x, y, triangles)
+
+# Interpolate to regularly-spaced quad grid.
+z = np.cos(1.5 * x) * np.cos(1.5 * y)
+xi, yi = np.meshgrid(np.linspace(0, 3, 20), np.linspace(0, 3, 20))
+
+interp_lin = mtri.LinearTriInterpolator(triang, z)
+zi_lin = interp_lin(xi, yi)
+
+interp_cubic_geom = mtri.CubicTriInterpolator(triang, z, kind='geom')
+zi_cubic_geom = interp_cubic_geom(xi, yi)
+
+interp_cubic_min_E = mtri.CubicTriInterpolator(triang, z, kind='min_E')
+zi_cubic_min_E = interp_cubic_min_E(xi, yi)
+
+# Set up the figure
+fig, axs = plt.subplots(nrows=2, ncols=2)
+axs = axs.flatten()
+
+# Plot the triangulation.
+axs[0].tricontourf(triang, z)
+axs[0].triplot(triang, 'ko-')
+axs[0].set_title('Triangular grid')
+
+# Plot linear interpolation to quad grid.
+axs[1].contourf(xi, yi, zi_lin)
+axs[1].plot(xi, yi, 'k-', lw=0.5, alpha=0.5)
+axs[1].plot(xi.T, yi.T, 'k-', lw=0.5, alpha=0.5)
+axs[1].set_title("Linear interpolation")
+
+# Plot cubic interpolation to quad grid, kind=geom
+axs[2].contourf(xi, yi, zi_cubic_geom)
+axs[2].plot(xi, yi, 'k-', lw=0.5, alpha=0.5)
+axs[2].plot(xi.T, yi.T, 'k-', lw=0.5, alpha=0.5)
+axs[2].set_title("Cubic interpolation,\nkind='geom'")
+
+# Plot cubic interpolation to quad grid, kind=min_E
+axs[3].contourf(xi, yi, zi_cubic_min_E)
+axs[3].plot(xi, yi, 'k-', lw=0.5, alpha=0.5)
+axs[3].plot(xi.T, yi.T, 'k-', lw=0.5, alpha=0.5)
+axs[3].set_title("Cubic interpolation,\nkind='min_E'")
+
+fig.tight_layout()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tricontourf` / `matplotlib.pyplot.tricontourf`
+#    - `matplotlib.axes.Axes.triplot` / `matplotlib.pyplot.triplot`
+#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.LinearTriInterpolator`
+#    - `matplotlib.tri.CubicTriInterpolator`
+#    - `matplotlib.tri.Triangulation`
diff --git a/galleries/examples/images_contours_and_fields/tripcolor_demo.py b/galleries/examples/images_contours_and_fields/tripcolor_demo.py
new file mode 100644
index 000000000000..a1c011a1224c
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/tripcolor_demo.py
@@ -0,0 +1,138 @@
+"""
+==============
+Tripcolor Demo
+==============
+
+Pseudocolor plots of unstructured triangular grids.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+# %%
+# Creating a Triangulation without specifying the triangles results in the
+# Delaunay triangulation of the points.
+
+# First create the x and y coordinates of the points.
+n_angles = 36
+n_radii = 8
+min_radius = 0.25
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+
+x = (radii * np.cos(angles)).flatten()
+y = (radii * np.sin(angles)).flatten()
+z = (np.cos(radii) * np.cos(3 * angles)).flatten()
+
+# Create the Triangulation; no triangles so Delaunay triangulation created.
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+# %%
+# tripcolor plot.
+
+fig1, ax1 = plt.subplots()
+ax1.set_aspect('equal')
+tpc = ax1.tripcolor(triang, z, shading='flat')
+fig1.colorbar(tpc)
+ax1.set_title('tripcolor of Delaunay triangulation, flat shading')
+
+# %%
+# Illustrate Gouraud shading.
+
+fig2, ax2 = plt.subplots()
+ax2.set_aspect('equal')
+tpc = ax2.tripcolor(triang, z, shading='gouraud')
+fig2.colorbar(tpc)
+ax2.set_title('tripcolor of Delaunay triangulation, gouraud shading')
+
+
+# %%
+# You can specify your own triangulation rather than perform a Delaunay
+# triangulation of the points, where each triangle is given by the indices of
+# the three points that make up the triangle, ordered in either a clockwise or
+# anticlockwise manner.
+
+xy = np.asarray([
+    [-0.101, 0.872], [-0.080, 0.883], [-0.069, 0.888], [-0.054, 0.890],
+    [-0.045, 0.897], [-0.057, 0.895], [-0.073, 0.900], [-0.087, 0.898],
+    [-0.090, 0.904], [-0.069, 0.907], [-0.069, 0.921], [-0.080, 0.919],
+    [-0.073, 0.928], [-0.052, 0.930], [-0.048, 0.942], [-0.062, 0.949],
+    [-0.054, 0.958], [-0.069, 0.954], [-0.087, 0.952], [-0.087, 0.959],
+    [-0.080, 0.966], [-0.085, 0.973], [-0.087, 0.965], [-0.097, 0.965],
+    [-0.097, 0.975], [-0.092, 0.984], [-0.101, 0.980], [-0.108, 0.980],
+    [-0.104, 0.987], [-0.102, 0.993], [-0.115, 1.001], [-0.099, 0.996],
+    [-0.101, 1.007], [-0.090, 1.010], [-0.087, 1.021], [-0.069, 1.021],
+    [-0.052, 1.022], [-0.052, 1.017], [-0.069, 1.010], [-0.064, 1.005],
+    [-0.048, 1.005], [-0.031, 1.005], [-0.031, 0.996], [-0.040, 0.987],
+    [-0.045, 0.980], [-0.052, 0.975], [-0.040, 0.973], [-0.026, 0.968],
+    [-0.020, 0.954], [-0.006, 0.947], [ 0.003, 0.935], [ 0.006, 0.926],
+    [ 0.005, 0.921], [ 0.022, 0.923], [ 0.033, 0.912], [ 0.029, 0.905],
+    [ 0.017, 0.900], [ 0.012, 0.895], [ 0.027, 0.893], [ 0.019, 0.886],
+    [ 0.001, 0.883], [-0.012, 0.884], [-0.029, 0.883], [-0.038, 0.879],
+    [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872],
+    [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933],
+    [-0.077, 0.990], [-0.059, 0.993]])
+x, y = np.rad2deg(xy).T
+
+triangles = np.asarray([
+    [67, 66,  1], [65,  2, 66], [ 1, 66,  2], [64,  2, 65], [63,  3, 64],
+    [60, 59, 57], [ 2, 64,  3], [ 3, 63,  4], [ 0, 67,  1], [62,  4, 63],
+    [57, 59, 56], [59, 58, 56], [61, 60, 69], [57, 69, 60], [ 4, 62, 68],
+    [ 6,  5,  9], [61, 68, 62], [69, 68, 61], [ 9,  5, 70], [ 6,  8,  7],
+    [ 4, 70,  5], [ 8,  6,  9], [56, 69, 57], [69, 56, 52], [70, 10,  9],
+    [54, 53, 55], [56, 55, 53], [68, 70,  4], [52, 56, 53], [11, 10, 12],
+    [69, 71, 68], [68, 13, 70], [10, 70, 13], [51, 50, 52], [13, 68, 71],
+    [52, 71, 69], [12, 10, 13], [71, 52, 50], [71, 14, 13], [50, 49, 71],
+    [49, 48, 71], [14, 16, 15], [14, 71, 48], [17, 19, 18], [17, 20, 19],
+    [48, 16, 14], [48, 47, 16], [47, 46, 16], [16, 46, 45], [23, 22, 24],
+    [21, 24, 22], [17, 16, 45], [20, 17, 45], [21, 25, 24], [27, 26, 28],
+    [20, 72, 21], [25, 21, 72], [45, 72, 20], [25, 28, 26], [44, 73, 45],
+    [72, 45, 73], [28, 25, 29], [29, 25, 31], [43, 73, 44], [73, 43, 40],
+    [72, 73, 39], [72, 31, 25], [42, 40, 43], [31, 30, 29], [39, 73, 40],
+    [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38],
+    [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]])
+
+xmid = x[triangles].mean(axis=1)
+ymid = y[triangles].mean(axis=1)
+x0 = -5
+y0 = 52
+zfaces = np.exp(-0.01 * ((xmid - x0) * (xmid - x0) +
+                         (ymid - y0) * (ymid - y0)))
+
+# %%
+# Rather than create a Triangulation object, can simply pass x, y and triangles
+# arrays to tripcolor directly.  It would be better to use a Triangulation
+# object if the same triangulation was to be used more than once to save
+# duplicated calculations.
+# Can specify one color value per face rather than one per point by using the
+# *facecolors* keyword argument.
+
+fig3, ax3 = plt.subplots()
+ax3.set_aspect('equal')
+tpc = ax3.tripcolor(x, y, triangles, facecolors=zfaces, edgecolors='k')
+fig3.colorbar(tpc)
+ax3.set_title('tripcolor of user-specified triangulation')
+ax3.set_xlabel('Longitude (degrees)')
+ax3.set_ylabel('Latitude (degrees)')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tripcolor` / `matplotlib.pyplot.tripcolor`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.Triangulation`
diff --git a/examples/pylab_examples/triplot_demo.py b/galleries/examples/images_contours_and_fields/triplot_demo.py
similarity index 77%
rename from examples/pylab_examples/triplot_demo.py
rename to galleries/examples/images_contours_and_fields/triplot_demo.py
index 84dcb4a76b02..e1151b37ac4a 100644
--- a/examples/pylab_examples/triplot_demo.py
+++ b/galleries/examples/images_contours_and_fields/triplot_demo.py
@@ -1,11 +1,16 @@
 """
+============
+Triplot Demo
+============
+
 Creating and plotting unstructured triangular grids.
 """
 import matplotlib.pyplot as plt
-import matplotlib.tri as tri
 import numpy as np
-import math
 
+import matplotlib.tri as tri
+
+# %%
 # Creating a Triangulation without specifying the triangles results in the
 # Delaunay triangulation of the points.
 
@@ -15,29 +20,31 @@
 min_radius = 0.25
 radii = np.linspace(min_radius, 0.95, n_radii)
 
-angles = np.linspace(0, 2*math.pi, n_angles, endpoint=False)
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
 angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-angles[:, 1::2] += math.pi/n_angles
+angles[:, 1::2] += np.pi / n_angles
 
-x = (radii*np.cos(angles)).flatten()
-y = (radii*np.sin(angles)).flatten()
+x = (radii * np.cos(angles)).flatten()
+y = (radii * np.sin(angles)).flatten()
 
 # Create the Triangulation; no triangles so Delaunay triangulation created.
 triang = tri.Triangulation(x, y)
 
 # Mask off unwanted triangles.
-xmid = x[triang.triangles].mean(axis=1)
-ymid = y[triang.triangles].mean(axis=1)
-mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-triang.set_mask(mask)
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
 
+# %%
 # Plot the triangulation.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.triplot(triang, 'bo-')
-plt.title('triplot of Delaunay triangulation')
 
+fig1, ax1 = plt.subplots()
+ax1.set_aspect('equal')
+ax1.triplot(triang, 'bo-', lw=1)
+ax1.set_title('triplot of Delaunay triangulation')
 
+
+# %%
 # You can specify your own triangulation rather than perform a Delaunay
 # triangulation of the points, where each triangle is given by the indices of
 # the three points that make up the triangle, ordered in either a clockwise or
@@ -63,8 +70,8 @@
     [-0.057, 0.881], [-0.062, 0.876], [-0.078, 0.876], [-0.087, 0.872],
     [-0.030, 0.907], [-0.007, 0.905], [-0.057, 0.916], [-0.025, 0.933],
     [-0.077, 0.990], [-0.059, 0.993]])
-x = xy[:, 0]*180/3.14159
-y = xy[:, 1]*180/3.14159
+x = np.degrees(xy[:, 0])
+y = np.degrees(xy[:, 1])
 
 triangles = np.asarray([
     [67, 66,  1], [65,  2, 66], [ 1, 66,  2], [64,  2, 65], [63,  3, 64],
@@ -84,15 +91,28 @@
     [42, 41, 40], [72, 33, 31], [32, 31, 33], [39, 38, 72], [33, 72, 38],
     [33, 38, 34], [37, 35, 38], [34, 38, 35], [35, 37, 36]])
 
+# %%
 # Rather than create a Triangulation object, can simply pass x, y and triangles
 # arrays to triplot directly.  It would be better to use a Triangulation object
 # if the same triangulation was to be used more than once to save duplicated
 # calculations.
-plt.figure()
-plt.gca().set_aspect('equal')
-plt.triplot(x, y, triangles, 'go-')
-plt.title('triplot of user-specified triangulation')
-plt.xlabel('Longitude (degrees)')
-plt.ylabel('Latitude (degrees)')
+
+fig2, ax2 = plt.subplots()
+ax2.set_aspect('equal')
+ax2.triplot(x, y, triangles, 'go-', lw=1.0)
+ax2.set_title('triplot of user-specified triangulation')
+ax2.set_xlabel('Longitude (degrees)')
+ax2.set_ylabel('Latitude (degrees)')
 
 plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.triplot` / `matplotlib.pyplot.triplot`
+#    - `matplotlib.tri`
+#    - `matplotlib.tri.Triangulation`
diff --git a/galleries/examples/images_contours_and_fields/watermark_image.py b/galleries/examples/images_contours_and_fields/watermark_image.py
new file mode 100644
index 000000000000..f2903ad28d49
--- /dev/null
+++ b/galleries/examples/images_contours_and_fields/watermark_image.py
@@ -0,0 +1,40 @@
+"""
+===============
+Watermark image
+===============
+
+Overlay an image on a plot by moving it to the front (``zorder=3``) and making it
+semi-transparent (``alpha=0.7``).
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+import matplotlib.image as image
+
+with cbook.get_sample_data('logo2.png') as file:
+    im = image.imread(file)
+
+fig, ax = plt.subplots()
+
+np.random.seed(19680801)
+x = np.arange(30)
+y = x + np.random.randn(30)
+ax.bar(x, y, color='#6bbc6b')
+ax.grid()
+
+fig.figimage(im, 25, 25, zorder=3, alpha=.7)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.image`
+#    - `matplotlib.image.imread` / `matplotlib.pyplot.imread`
+#    - `matplotlib.figure.Figure.figimage`
diff --git a/galleries/examples/lines_bars_and_markers/README.txt b/galleries/examples/lines_bars_and_markers/README.txt
new file mode 100644
index 000000000000..a842344008fa
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/README.txt
@@ -0,0 +1,4 @@
+.. _lines_bars_and_markers_example:
+
+Lines, bars and markers
+=======================
diff --git a/galleries/examples/lines_bars_and_markers/axline.py b/galleries/examples/lines_bars_and_markers/axline.py
new file mode 100644
index 000000000000..11e8c646fe41
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/axline.py
@@ -0,0 +1,63 @@
+"""
+==============
+Infinite lines
+==============
+
+`~.axes.Axes.axvline` and `~.axes.Axes.axhline` draw infinite vertical /
+horizontal lines, at given *x* / *y* positions. They are usually used to mark
+special data values, e.g. in this example the center and limit values of the
+sigmoid function.
+
+`~.axes.Axes.axline` draws infinite straight lines in arbitrary directions.
+
+.. redirect-from:: /gallery/pyplot/axline
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.linspace(-10, 10, 100)
+sig = 1 / (1 + np.exp(-t))
+
+fig, ax = plt.subplots()
+ax.axhline(y=0, color="black", linestyle="--")
+ax.axhline(y=0.5, color="black", linestyle=":")
+ax.axhline(y=1.0, color="black", linestyle="--")
+ax.axvline(color="grey")
+ax.axline((0, 0.5), slope=0.25, color="black", linestyle=(0, (5, 5)))
+ax.plot(t, sig, linewidth=2, label=r"$\sigma(t) = \frac{1}{1 + e^{-t}}$")
+ax.set(xlim=(-10, 10), xlabel="t")
+ax.legend(fontsize=14)
+plt.show()
+
+# %%
+# `~.axes.Axes.axline` can also be used with a *transform* parameter, which
+# applies to the point, but not to the slope. This can be useful for drawing
+# diagonal grid lines with a fixed slope, which stay in place when the
+# plot limits are moved.
+
+fig, ax = plt.subplots()
+for pos in np.linspace(-2, 1, 10):
+    ax.axline((pos, 0), slope=0.5, color='k', transform=ax.transAxes)
+
+ax.set(xlim=(0, 1), ylim=(0, 1))
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.axhline` / `matplotlib.pyplot.axhline`
+#    - `matplotlib.axes.Axes.axvline` / `matplotlib.pyplot.axvline`
+#    - `matplotlib.axes.Axes.axline` / `matplotlib.pyplot.axline`
+#
+#
+# .. seealso::
+#
+#    `~.Axes.axhspan`, `~.Axes.axvspan` draw rectangles that span the Axes in one
+#    direction and are bounded in the other direction.
+#
+# .. tags:: component: annotation
diff --git a/galleries/examples/lines_bars_and_markers/bar_colors.py b/galleries/examples/lines_bars_and_markers/bar_colors.py
new file mode 100644
index 000000000000..18af2b3ee9a7
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/bar_colors.py
@@ -0,0 +1,33 @@
+"""
+====================================
+Bar chart with individual bar colors
+====================================
+
+This is an example showing how to control bar color and legend entries
+using the *color* and *label* parameters of `~matplotlib.pyplot.bar`.
+Note that labels with a preceding underscore won't show up in the legend.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+fruits = ['apple', 'blueberry', 'cherry', 'orange']
+counts = [40, 100, 30, 55]
+bar_labels = ['red', 'blue', '_red', 'orange']
+bar_colors = ['tab:red', 'tab:blue', 'tab:red', 'tab:orange']
+
+ax.bar(fruits, counts, label=bar_labels, color=bar_colors)
+
+ax.set_ylabel('fruit supply')
+ax.set_title('Fruit supply by kind and color')
+ax.legend(title='Fruit color')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: color
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/bar_label_demo.py b/galleries/examples/lines_bars_and_markers/bar_label_demo.py
new file mode 100644
index 000000000000..2e43dbb18013
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/bar_label_demo.py
@@ -0,0 +1,126 @@
+"""
+=====================
+Bar chart with labels
+=====================
+
+This example shows how to use the `~.Axes.bar_label` helper function
+to create bar chart labels.
+
+See also the :doc:`grouped bar
+</gallery/lines_bars_and_markers/barchart>`,
+:doc:`stacked bar
+</gallery/lines_bars_and_markers/bar_stacked>` and
+:doc:`horizontal bar chart
+</gallery/lines_bars_and_markers/barh>` examples.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# data from https://allisonhorst.github.io/palmerpenguins/
+
+species = ('Adelie', 'Chinstrap', 'Gentoo')
+sex_counts = {
+    'Male': np.array([73, 34, 61]),
+    'Female': np.array([73, 34, 58]),
+}
+width = 0.6  # the width of the bars: can also be len(x) sequence
+
+
+fig, ax = plt.subplots()
+bottom = np.zeros(3)
+
+for sex, sex_count in sex_counts.items():
+    p = ax.bar(species, sex_count, width, label=sex, bottom=bottom)
+    bottom += sex_count
+
+    ax.bar_label(p, label_type='center')
+
+ax.set_title('Number of penguins by sex')
+ax.legend()
+
+plt.show()
+
+# %%
+# Horizontal bar chart
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# Example data
+people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
+y_pos = np.arange(len(people))
+performance = 3 + 10 * np.random.rand(len(people))
+error = np.random.rand(len(people))
+
+fig, ax = plt.subplots()
+
+hbars = ax.barh(y_pos, performance, xerr=error, align='center')
+ax.set_yticks(y_pos, labels=people)
+ax.invert_yaxis()  # labels read top-to-bottom
+ax.set_xlabel('Performance')
+ax.set_title('How fast do you want to go today?')
+
+# Label with specially formatted floats
+ax.bar_label(hbars, fmt='%.2f')
+ax.set_xlim(right=15)  # adjust xlim to fit labels
+
+plt.show()
+
+# %%
+# Some of the more advanced things that one can do with bar labels
+
+fig, ax = plt.subplots()
+
+hbars = ax.barh(y_pos, performance, xerr=error, align='center')
+ax.set_yticks(y_pos, labels=people)
+ax.invert_yaxis()  # labels read top-to-bottom
+ax.set_xlabel('Performance')
+ax.set_title('How fast do you want to go today?')
+
+# Label with given captions, custom padding and annotate options
+ax.bar_label(hbars, labels=[f'±{e:.2f}' for e in error],
+             padding=8, color='b', fontsize=14)
+ax.set_xlim(right=16)
+
+plt.show()
+
+# %%
+# Bar labels using {}-style format string
+
+fruit_names = ['Coffee', 'Salted Caramel', 'Pistachio']
+fruit_counts = [4000, 2000, 7000]
+
+fig, ax = plt.subplots()
+bar_container = ax.bar(fruit_names, fruit_counts)
+ax.set(ylabel='pints sold', title='Gelato sales by flavor', ylim=(0, 8000))
+ax.bar_label(bar_container, fmt='{:,.0f}')
+
+# %%
+# Bar labels using a callable
+
+animal_names = ['Lion', 'Gazelle', 'Cheetah']
+mph_speed = [50, 60, 75]
+
+fig, ax = plt.subplots()
+bar_container = ax.bar(animal_names, mph_speed)
+ax.set(ylabel='speed in MPH', title='Running speeds', ylim=(0, 80))
+ax.bar_label(bar_container, fmt=lambda x: f'{x * 1.61:.1f} km/h')
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.axes.Axes.barh` / `matplotlib.pyplot.barh`
+#    - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label`
+#
+# .. tags::
+#
+#    component: label
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/bar_stacked.py b/galleries/examples/lines_bars_and_markers/bar_stacked.py
new file mode 100644
index 000000000000..f1f97e89da13
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/bar_stacked.py
@@ -0,0 +1,42 @@
+"""
+=================
+Stacked bar chart
+=================
+
+This is an example of creating a stacked bar plot
+using `~matplotlib.pyplot.bar`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# data from https://allisonhorst.github.io/palmerpenguins/
+
+species = (
+    "Adelie\n $\\mu=$3700.66g",
+    "Chinstrap\n $\\mu=$3733.09g",
+    "Gentoo\n $\\mu=5076.02g$",
+)
+weight_counts = {
+    "Below": np.array([70, 31, 58]),
+    "Above": np.array([82, 37, 66]),
+}
+width = 0.5
+
+fig, ax = plt.subplots()
+bottom = np.zeros(3)
+
+for boolean, weight_count in weight_counts.items():
+    p = ax.bar(species, weight_count, width, label=boolean, bottom=bottom)
+    bottom += weight_count
+
+ax.set_title("Number of penguins with above average body mass")
+ax.legend(loc="upper right")
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/barchart.py b/galleries/examples/lines_bars_and_markers/barchart.py
new file mode 100644
index 000000000000..dbb0f5bbbadd
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/barchart.py
@@ -0,0 +1,49 @@
+"""
+=============================
+Grouped bar chart with labels
+=============================
+
+This example shows a how to create a grouped bar chart and how to annotate
+bars with labels.
+"""
+
+# data from https://allisonhorst.github.io/palmerpenguins/
+
+import matplotlib.pyplot as plt
+
+species = ("Adelie", "Chinstrap", "Gentoo")
+penguin_means = {
+    'Bill Depth': (18.35, 18.43, 14.98),
+    'Bill Length': (38.79, 48.83, 47.50),
+    'Flipper Length': (189.95, 195.82, 217.19),
+}
+
+fig, ax = plt.subplots(layout='constrained')
+
+res = ax.grouped_bar(penguin_means, tick_labels=species, group_spacing=1)
+for container in res.bar_containers:
+    ax.bar_label(container, padding=3)
+
+# Add some text for labels, title, etc.
+ax.set_ylabel('Length (mm)')
+ax.set_title('Penguin attributes by species')
+ax.legend(loc='upper left', ncols=3)
+ax.set_ylim(0, 250)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label`
+#
+# .. tags::
+#
+#    component: label
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/barh.py b/galleries/examples/lines_bars_and_markers/barh.py
new file mode 100644
index 000000000000..5493c7456c75
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/barh.py
@@ -0,0 +1,34 @@
+"""
+====================
+Horizontal bar chart
+====================
+
+This example showcases a simple horizontal bar chart.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+
+# Example data
+people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
+y_pos = np.arange(len(people))
+performance = 3 + 10 * np.random.rand(len(people))
+error = np.random.rand(len(people))
+
+ax.barh(y_pos, performance, xerr=error, align='center')
+ax.set_yticks(y_pos, labels=people)
+ax.invert_yaxis()  # labels read top-to-bottom
+ax.set_xlabel('Performance')
+ax.set_title('How fast do you want to go today?')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/broken_barh.py b/galleries/examples/lines_bars_and_markers/broken_barh.py
new file mode 100644
index 000000000000..3714ca7c748d
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/broken_barh.py
@@ -0,0 +1,50 @@
+"""
+======================
+Broken horizontal bars
+======================
+
+`~.Axes.broken_barh` creates sequences of horizontal bars. This example shows
+a timing diagram.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# data is a sequence of (start, duration) tuples
+cpu_1 = [(0, 3), (3.5, 1), (5, 5)]
+cpu_2 = np.column_stack([np.linspace(0, 9, 10), np.full(10, 0.5)])
+cpu_3 = np.column_stack([10*np.random.random(61), np.full(61, 0.05)])
+cpu_4 = [(2, 1.7), (7, 1.2)]
+disk = [(1, 1.5)]
+network = np.column_stack([10*np.random.random(10), np.full(10, 0.05)])
+
+fig, ax = plt.subplots()
+# broken_barh(xranges, (ymin, height))
+ax.broken_barh(cpu_1, (-0.2, 0.4))
+ax.broken_barh(cpu_2, (0.8, 0.4))
+ax.broken_barh(cpu_3, (1.8, 0.4))
+ax.broken_barh(cpu_4, (2.8, 0.4))
+ax.broken_barh(disk, (3.8, 0.4), color="tab:orange")
+ax.broken_barh(network, (4.8, 0.4), color="tab:green")
+ax.set_xlim(0, 10)
+ax.set_yticks(range(6),
+              labels=["CPU 1", "CPU 2", "CPU 3", "CPU 4", "disk", "network"])
+ax.invert_yaxis()
+ax.set_title("Resource usage")
+
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.broken_barh` / `matplotlib.pyplot.broken_barh`
+#    - `matplotlib.axes.Axes.invert_yaxis`
+#    - `matplotlib.axes.Axes.set_yticks`
+#
+# .. tags::
+#
+#    component: annotation
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/capstyle.py b/galleries/examples/lines_bars_and_markers/capstyle.py
new file mode 100644
index 000000000000..4927c904caa7
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/capstyle.py
@@ -0,0 +1,21 @@
+"""
+=========
+CapStyle
+=========
+
+The `matplotlib._enums.CapStyle` controls how Matplotlib draws the two
+endpoints (caps) of an unclosed line. For more details, see the
+`~matplotlib._enums.CapStyle` docs.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib._enums import CapStyle
+
+CapStyle.demo()
+plt.show()
+
+# %%
+# .. tags::
+#
+#    purpose: reference
diff --git a/galleries/examples/lines_bars_and_markers/categorical_variables.py b/galleries/examples/lines_bars_and_markers/categorical_variables.py
new file mode 100644
index 000000000000..a19a30eda2b2
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/categorical_variables.py
@@ -0,0 +1,43 @@
+"""
+==============================
+Plotting categorical variables
+==============================
+
+You can pass categorical values (i.e. strings) directly as x- or y-values to
+many plotting functions:
+"""
+import matplotlib.pyplot as plt
+
+data = {'apple': 10, 'orange': 15, 'lemon': 5, 'lime': 20}
+names = list(data.keys())
+values = list(data.values())
+
+fig, axs = plt.subplots(1, 3, figsize=(9, 3), sharey=True)
+axs[0].bar(names, values)
+axs[1].scatter(names, values)
+axs[2].plot(names, values)
+fig.suptitle('Categorical Plotting')
+
+
+# %%
+# Categorical values are a mapping from names to positions. This means that
+# values that occur multiple times are mapped to the same position. See the
+# ``cat`` and ``dog`` values "happy" and "bored" on the y-axis in the following
+# example.
+
+cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
+dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
+activity = ["combing", "drinking", "feeding", "napping", "playing", "washing"]
+
+fig, ax = plt.subplots()
+ax.plot(activity, dog, label="dog")
+ax.plot(activity, cat, label="cat")
+ax.legend()
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: specialty
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/cohere.py b/galleries/examples/lines_bars_and_markers/cohere.py
new file mode 100644
index 000000000000..f02788ea1d69
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/cohere.py
@@ -0,0 +1,40 @@
+"""
+=====================================
+Plotting the coherence of two signals
+=====================================
+
+An example showing how to plot the coherence of two signals using `~.Axes.cohere`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+dt = 0.01
+t = np.arange(0, 30, dt)
+nse1 = np.random.randn(len(t))                 # white noise 1
+nse2 = np.random.randn(len(t))                 # white noise 2
+
+# Two signals with a coherent part at 10 Hz and a random part
+s1 = np.sin(2 * np.pi * 10 * t) + nse1
+s2 = np.sin(2 * np.pi * 10 * t) + nse2
+
+fig, axs = plt.subplots(2, 1, layout='constrained')
+axs[0].plot(t, s1, t, s2)
+axs[0].set_xlim(0, 2)
+axs[0].set_xlabel('Time (s)')
+axs[0].set_ylabel('s1 and s2')
+axs[0].grid(True)
+
+cxy, f = axs[1].cohere(s1, s2, NFFT=256, Fs=1. / dt)
+axs[1].set_ylabel('Coherence')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    domain: signal-processing
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/csd_demo.py b/galleries/examples/lines_bars_and_markers/csd_demo.py
new file mode 100644
index 000000000000..76d9f0825223
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/csd_demo.py
@@ -0,0 +1,47 @@
+"""
+============================
+Cross spectral density (CSD)
+============================
+
+Plot the cross spectral density (CSD) of two signals using `~.Axes.csd`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, (ax1, ax2) = plt.subplots(2, 1, layout='constrained')
+
+dt = 0.01
+t = np.arange(0, 30, dt)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+nse1 = np.random.randn(len(t))                 # white noise 1
+nse2 = np.random.randn(len(t))                 # white noise 2
+r = np.exp(-t / 0.05)
+
+cnse1 = np.convolve(nse1, r, mode='same') * dt   # colored noise 1
+cnse2 = np.convolve(nse2, r, mode='same') * dt   # colored noise 2
+
+# two signals with a coherent part and a random part
+s1 = 0.01 * np.sin(2 * np.pi * 10 * t) + cnse1
+s2 = 0.01 * np.sin(2 * np.pi * 10 * t) + cnse2
+
+ax1.plot(t, s1, t, s2)
+ax1.set_xlim(0, 5)
+ax1.set_xlabel('Time (s)')
+ax1.set_ylabel('s1 and s2')
+ax1.grid(True)
+
+cxy, f = ax2.csd(s1, s2, NFFT=256, Fs=1. / dt)
+ax2.set_ylabel('CSD (dB)')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    domain: signal-processing
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/curve_error_band.py b/galleries/examples/lines_bars_and_markers/curve_error_band.py
new file mode 100644
index 000000000000..320d2e710be6
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/curve_error_band.py
@@ -0,0 +1,93 @@
+"""
+=====================
+Curve with error band
+=====================
+
+This example illustrates how to draw an error band around a parametrized curve.
+
+A parametrized curve x(t), y(t) can directly be drawn using `~.Axes.plot`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import PathPatch
+from matplotlib.path import Path
+
+N = 400
+t = np.linspace(0, 2 * np.pi, N)
+r = 0.5 + np.cos(t)
+x, y = r * np.cos(t), r * np.sin(t)
+
+fig, ax = plt.subplots()
+ax.plot(x, y, "k")
+ax.set(aspect=1)
+
+# %%
+# An error band can be used to indicate the uncertainty of the curve.
+# In this example we assume that the error can be given as a scalar *err*
+# that describes the uncertainty perpendicular to the curve in every point.
+#
+# We visualize this error as a colored band around the path using a
+# `.PathPatch`. The patch is created from two path segments *(xp, yp)*, and
+# *(xn, yn)* that are shifted by +/- *err* perpendicular to the curve *(x, y)*.
+#
+# Note: This method of using a `.PathPatch` is suited to arbitrary curves in
+# 2D. If you just have a standard y-vs.-x plot, you can use the simpler
+# `~.Axes.fill_between` method (see also
+# :doc:`/gallery/lines_bars_and_markers/fill_between_demo`).
+
+
+def draw_error_band(ax, x, y, err, **kwargs):
+    # Calculate normals via centered finite differences (except the first point
+    # which uses a forward difference and the last point which uses a backward
+    # difference).
+    dx = np.concatenate([[x[1] - x[0]], x[2:] - x[:-2], [x[-1] - x[-2]]])
+    dy = np.concatenate([[y[1] - y[0]], y[2:] - y[:-2], [y[-1] - y[-2]]])
+    l = np.hypot(dx, dy)
+    nx = dy / l
+    ny = -dx / l
+
+    # end points of errors
+    xp = x + nx * err
+    yp = y + ny * err
+    xn = x - nx * err
+    yn = y - ny * err
+
+    vertices = np.block([[xp, xn[::-1]],
+                         [yp, yn[::-1]]]).T
+    codes = np.full(len(vertices), Path.LINETO)
+    codes[0] = codes[len(xp)] = Path.MOVETO
+    path = Path(vertices, codes)
+    ax.add_patch(PathPatch(path, **kwargs))
+
+
+_, axs = plt.subplots(1, 2, layout='constrained', sharex=True, sharey=True)
+errs = [
+    (axs[0], "constant error", 0.05),
+    (axs[1], "variable error", 0.05 * np.sin(2 * t) ** 2 + 0.04),
+]
+for i, (ax, title, err) in enumerate(errs):
+    ax.set(title=title, aspect=1, xticks=[], yticks=[])
+    ax.plot(x, y, "k")
+    draw_error_band(ax, x, y, err=err,
+                    facecolor=f"C{i}", edgecolor="none", alpha=.3)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.path.Path`
+#
+# .. tags::
+#
+#    component: error
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/errorbar_limits_simple.py b/galleries/examples/lines_bars_and_markers/errorbar_limits_simple.py
new file mode 100644
index 000000000000..d9c8375c61fb
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/errorbar_limits_simple.py
@@ -0,0 +1,68 @@
+"""
+========================
+Errorbar limit selection
+========================
+
+Illustration of selectively drawing lower and/or upper limit symbols on
+errorbars using the parameters ``uplims``, ``lolims`` of `~.pyplot.errorbar`.
+
+Alternatively, you can use 2xN values to draw errorbars in only one direction.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+x = np.arange(10)
+y = 2.5 * np.sin(x / 20 * np.pi)
+yerr = np.linspace(0.05, 0.2, 10)
+
+plt.errorbar(x, y + 3, yerr=yerr, label='both limits (default)')
+
+plt.errorbar(x, y + 2, yerr=yerr, uplims=True, label='uplims=True')
+
+plt.errorbar(x, y + 1, yerr=yerr, uplims=True, lolims=True,
+             label='uplims=True, lolims=True')
+
+upperlimits = [True, False] * 5
+lowerlimits = [False, True] * 5
+plt.errorbar(x, y, yerr=yerr, uplims=upperlimits, lolims=lowerlimits,
+             label='subsets of uplims and lolims')
+
+plt.legend(loc='lower right')
+
+
+# %%
+# Similarly ``xuplims`` and ``xlolims`` can be used on the horizontal ``xerr``
+# errorbars.
+
+fig = plt.figure()
+x = np.arange(10) / 10
+y = (x + 0.1)**2
+
+plt.errorbar(x, y, xerr=0.1, xlolims=True, label='xlolims=True')
+y = (x + 0.1)**3
+
+plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits,
+             label='subsets of xuplims and xlolims')
+
+y = (x + 0.1)**4
+plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True, label='xuplims=True')
+
+plt.legend()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
+#
+# .. tags::
+#
+#    component: error
+#    plot-type: errorbar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/errorbar_subsample.py b/galleries/examples/lines_bars_and_markers/errorbar_subsample.py
new file mode 100644
index 000000000000..009286e28ea9
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/errorbar_subsample.py
@@ -0,0 +1,47 @@
+"""
+====================
+Errorbar subsampling
+====================
+
+The parameter *errorevery* of `.Axes.errorbar` can be used to draw error bars
+only on a subset of data points. This is particularly useful if there are many
+data points with similar errors.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# example data
+x = np.arange(0.1, 4, 0.1)
+y1 = np.exp(-1.0 * x)
+y2 = np.exp(-0.5 * x)
+
+# example variable error bar values
+y1err = 0.1 + 0.1 * np.sqrt(x)
+y2err = 0.1 + 0.1 * np.sqrt(x/2)
+
+
+fig, (ax0, ax1, ax2) = plt.subplots(nrows=1, ncols=3, sharex=True,
+                                    figsize=(12, 6))
+
+ax0.set_title('all errorbars')
+ax0.errorbar(x, y1, yerr=y1err)
+ax0.errorbar(x, y2, yerr=y2err)
+
+ax1.set_title('only every 6th errorbar')
+ax1.errorbar(x, y1, yerr=y1err, errorevery=6)
+ax1.errorbar(x, y2, yerr=y2err, errorevery=6)
+
+ax2.set_title('second series shifted by 3')
+ax2.errorbar(x, y1, yerr=y1err, errorevery=(0, 6))
+ax2.errorbar(x, y2, yerr=y2err, errorevery=(3, 6))
+
+fig.suptitle('Errorbar subsampling')
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: error
+#    plot-type: errorbar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/eventcollection_demo.py b/galleries/examples/lines_bars_and_markers/eventcollection_demo.py
new file mode 100644
index 000000000000..1aa2fa622812
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/eventcollection_demo.py
@@ -0,0 +1,68 @@
+r"""
+====================
+EventCollection Demo
+====================
+
+Plot two curves, then use `.EventCollection`\s to mark the locations of the x
+and y data points on the respective Axes for each curve.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import EventCollection
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# create random data
+xdata = np.random.random([2, 10])
+
+# split the data into two parts
+xdata1 = xdata[0, :]
+xdata2 = xdata[1, :]
+
+# sort the data so it makes clean curves
+xdata1.sort()
+xdata2.sort()
+
+# create some y data points
+ydata1 = xdata1 ** 2
+ydata2 = 1 - xdata2 ** 3
+
+# plot the data
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1)
+ax.plot(xdata1, ydata1, color='tab:blue')
+ax.plot(xdata2, ydata2, color='tab:orange')
+
+# create the events marking the x data points
+xevents1 = EventCollection(xdata1, color='tab:blue', linelength=0.05)
+xevents2 = EventCollection(xdata2, color='tab:orange', linelength=0.05)
+
+# create the events marking the y data points
+yevents1 = EventCollection(ydata1, color='tab:blue', linelength=0.05,
+                           orientation='vertical')
+yevents2 = EventCollection(ydata2, color='tab:orange', linelength=0.05,
+                           orientation='vertical')
+
+# add the events to the axis
+ax.add_collection(xevents1)
+ax.add_collection(xevents2)
+ax.add_collection(yevents1)
+ax.add_collection(yevents2)
+
+# set the limits
+ax.set_xlim([0, 1])
+ax.set_ylim([0, 1])
+
+ax.set_title('line plot with data points')
+
+# display the plot
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: eventplot
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/eventplot_demo.py b/galleries/examples/lines_bars_and_markers/eventplot_demo.py
new file mode 100644
index 000000000000..17797c2f697a
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/eventplot_demo.py
@@ -0,0 +1,69 @@
+"""
+==============
+Eventplot demo
+==============
+
+An `~.axes.Axes.eventplot` showing sequences of events with various line
+properties. The plot is shown in both horizontal and vertical orientations.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib
+
+matplotlib.rcParams['font.size'] = 8.0
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+# create random data
+data1 = np.random.random([6, 50])
+
+# set different colors for each set of positions
+colors1 = [f'C{i}' for i in range(6)]
+
+# set different line properties for each set of positions
+# note that some overlap
+lineoffsets1 = [-15, -3, 1, 1.5, 6, 10]
+linelengths1 = [5, 2, 1, 1, 3, 1.5]
+
+fig, axs = plt.subplots(2, 2)
+
+# create a horizontal plot
+axs[0, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
+                    linelengths=linelengths1)
+
+# create a vertical plot
+axs[1, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
+                    linelengths=linelengths1, orientation='vertical')
+
+# create another set of random data.
+# the gamma distribution is only used for aesthetic purposes
+data2 = np.random.gamma(4, size=[60, 50])
+
+# use individual values for the parameters this time
+# these values will be used for all data sets (except lineoffsets2, which
+# sets the increment between each data set in this usage)
+colors2 = 'black'
+lineoffsets2 = 1
+linelengths2 = 1
+
+# create a horizontal plot
+axs[0, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
+                    linelengths=linelengths2)
+
+
+# create a vertical plot
+axs[1, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
+                    linelengths=linelengths2, orientation='vertical')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: eventplot
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/lines_bars_and_markers/fill.py b/galleries/examples/lines_bars_and_markers/fill.py
new file mode 100644
index 000000000000..4eba083fa825
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/fill.py
@@ -0,0 +1,93 @@
+"""
+==============
+Filled polygon
+==============
+
+`~.Axes.fill()` draws a filled polygon based on lists of point
+coordinates *x*, *y*.
+
+This example uses the `Koch snowflake`_ as an example polygon.
+
+.. _Koch snowflake: https://en.wikipedia.org/wiki/Koch_snowflake
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def koch_snowflake(order, scale=10):
+    """
+    Return two lists x, y of point coordinates of the Koch snowflake.
+
+    Parameters
+    ----------
+    order : int
+        The recursion depth.
+    scale : float
+        The extent of the snowflake (edge length of the base triangle).
+    """
+    def _koch_snowflake_complex(order):
+        if order == 0:
+            # initial triangle
+            angles = np.array([0, 120, 240]) + 90
+            return scale / np.sqrt(3) * np.exp(np.deg2rad(angles) * 1j)
+        else:
+            ZR = 0.5 - 0.5j * np.sqrt(3) / 3
+
+            p1 = _koch_snowflake_complex(order - 1)  # start points
+            p2 = np.roll(p1, shift=-1)  # end points
+            dp = p2 - p1  # connection vectors
+
+            new_points = np.empty(len(p1) * 4, dtype=np.complex128)
+            new_points[::4] = p1
+            new_points[1::4] = p1 + dp / 3
+            new_points[2::4] = p1 + dp * ZR
+            new_points[3::4] = p1 + dp / 3 * 2
+            return new_points
+
+    points = _koch_snowflake_complex(order)
+    x, y = points.real, points.imag
+    return x, y
+
+
+# %%
+# Basic usage:
+
+x, y = koch_snowflake(order=5)
+
+plt.figure(figsize=(8, 8))
+plt.axis('equal')
+plt.fill(x, y)
+plt.show()
+
+# %%
+# Use keyword arguments *facecolor* and *edgecolor* to modify the colors
+# of the polygon. Since the *linewidth* of the edge is 0 in the default
+# Matplotlib style, we have to set it as well for the edge to become visible.
+
+x, y = koch_snowflake(order=2)
+
+fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(9, 3),
+                                    subplot_kw={'aspect': 'equal'})
+ax1.fill(x, y)
+ax2.fill(x, y, facecolor='lightsalmon', edgecolor='orangered', linewidth=3)
+ax3.fill(x, y, facecolor='none', edgecolor='purple', linewidth=3)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.fill` / `matplotlib.pyplot.fill`
+#    - `matplotlib.axes.Axes.axis` / `matplotlib.pyplot.axis`
+#
+# .. tags::
+#
+#    styling: shape
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/lines_bars_and_markers/fill_between_alpha.py b/galleries/examples/lines_bars_and_markers/fill_between_alpha.py
new file mode 100644
index 000000000000..487ae9aaf62d
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/fill_between_alpha.py
@@ -0,0 +1,147 @@
+"""
+==================================
+``fill_between`` with transparency
+==================================
+
+The `~matplotlib.axes.Axes.fill_between` function generates a shaded
+region between a min and max boundary that is useful for illustrating ranges.
+It has a very handy ``where`` argument to combine filling with logical ranges,
+e.g., to just fill in a curve over some threshold value.
+
+At its most basic level, ``fill_between`` can be used to enhance a graph's
+visual appearance. Let's compare two graphs of financial data with a simple
+line plot on the left and a filled line on the right.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+
+# load up some sample financial data
+r = cbook.get_sample_data('goog.npz')['price_data']
+# create two subplots with the shared x and y axes
+fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)
+
+pricemin = r["close"].min()
+
+ax1.plot(r["date"], r["close"], lw=2)
+ax2.fill_between(r["date"], pricemin, r["close"], alpha=0.7)
+
+for ax in ax1, ax2:
+    ax.grid(True)
+    ax.label_outer()
+
+ax1.set_ylabel('price')
+
+fig.suptitle('Google (GOOG) daily closing price')
+fig.autofmt_xdate()
+
+# %%
+# The alpha channel is not necessary here, but it can be used to soften
+# colors for more visually appealing plots.  In other examples, as we'll
+# see below, the alpha channel is functionally useful as the shaded
+# regions can overlap and alpha allows you to see both.  Note that the
+# postscript format does not support alpha (this is a postscript
+# limitation, not a matplotlib limitation), so when using alpha save
+# your figures in GIF, PNG, PDF or SVG.
+#
+# Our next example computes two populations of random walkers with a
+# different mean and standard deviation of the normal distributions from
+# which the steps are drawn.  We use filled regions to plot +/- one
+# standard deviation of the mean position of the population.  Here the
+# alpha channel is useful, not just aesthetic.
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+Nsteps, Nwalkers = 100, 250
+t = np.arange(Nsteps)
+
+# an (Nsteps x Nwalkers) array of random walk steps
+S1 = 0.004 + 0.02*np.random.randn(Nsteps, Nwalkers)
+S2 = 0.002 + 0.01*np.random.randn(Nsteps, Nwalkers)
+
+# an (Nsteps x Nwalkers) array of random walker positions
+X1 = S1.cumsum(axis=0)
+X2 = S2.cumsum(axis=0)
+
+
+# Nsteps length arrays empirical means and standard deviations of both
+# populations over time
+mu1 = X1.mean(axis=1)
+sigma1 = X1.std(axis=1)
+mu2 = X2.mean(axis=1)
+sigma2 = X2.std(axis=1)
+
+# plot it!
+fig, ax = plt.subplots(1)
+ax.plot(t, mu1, lw=2, label='mean population 1')
+ax.plot(t, mu2, lw=2, label='mean population 2')
+ax.fill_between(t, mu1+sigma1, mu1-sigma1, facecolor='C0', alpha=0.4)
+ax.fill_between(t, mu2+sigma2, mu2-sigma2, facecolor='C1', alpha=0.4)
+ax.set_title(r'random walkers empirical $\mu$ and $\pm \sigma$ interval')
+ax.legend(loc='upper left')
+ax.set_xlabel('num steps')
+ax.set_ylabel('position')
+ax.grid()
+
+# %%
+# The ``where`` keyword argument is very handy for highlighting certain
+# regions of the graph.  ``where`` takes a boolean mask the same length
+# as the x, ymin and ymax arguments, and only fills in the region where
+# the boolean mask is True.  In the example below, we simulate a single
+# random walker and compute the analytic mean and standard deviation of
+# the population positions.  The population mean is shown as the dashed
+# line, and the plus/minus one sigma deviation from the mean is shown
+# as the filled region.  We use the where mask ``X > upper_bound`` to
+# find the region where the walker is outside the one sigma boundary,
+# and shade that region red.
+
+# Fixing random state for reproducibility
+np.random.seed(1)
+
+Nsteps = 500
+t = np.arange(Nsteps)
+
+mu = 0.002
+sigma = 0.01
+
+# the steps and position
+S = mu + sigma*np.random.randn(Nsteps)
+X = S.cumsum()
+
+# the 1 sigma upper and lower analytic population bounds
+lower_bound = mu*t - sigma*np.sqrt(t)
+upper_bound = mu*t + sigma*np.sqrt(t)
+
+fig, ax = plt.subplots(1)
+ax.plot(t, X, lw=2, label='walker position')
+ax.plot(t, mu*t, lw=1, label='population mean', color='C0', ls='--')
+ax.fill_between(t, lower_bound, upper_bound, facecolor='C0', alpha=0.4,
+                label='1 sigma range')
+ax.legend(loc='upper left')
+
+# here we use the where argument to only fill the region where the
+# walker is above the population 1 sigma boundary
+ax.fill_between(t, upper_bound, X, where=X > upper_bound, fc='red', alpha=0.4)
+ax.fill_between(t, lower_bound, X, where=X < lower_bound, fc='red', alpha=0.4)
+ax.set_xlabel('num steps')
+ax.set_ylabel('position')
+ax.grid()
+
+# %%
+# Another handy use of filled regions is to highlight horizontal or vertical
+# spans of an Axes -- for that Matplotlib has the helper functions
+# `~matplotlib.axes.Axes.axhspan` and `~matplotlib.axes.Axes.axvspan`.  See
+# :doc:`/gallery/subplots_axes_and_figures/axhspan_demo`.
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: alpha
+#    plot-type: fill_between
+#    level: intermediate
+#    purpose: showcase
diff --git a/galleries/examples/lines_bars_and_markers/fill_between_demo.py b/galleries/examples/lines_bars_and_markers/fill_between_demo.py
new file mode 100644
index 000000000000..feb325a3f9db
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/fill_between_demo.py
@@ -0,0 +1,148 @@
+"""
+===============================
+Fill the area between two lines
+===============================
+
+This example shows how to use `~.axes.Axes.fill_between` to color the area
+between two lines.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+#
+# Basic usage
+# -----------
+# The parameters *y1* and *y2* can be scalars, indicating a horizontal
+# boundary at the given y-values. If only *y1* is given, *y2* defaults to 0.
+
+x = np.arange(0.0, 2, 0.01)
+y1 = np.sin(2 * np.pi * x)
+y2 = 0.8 * np.sin(4 * np.pi * x)
+
+fig, (ax1, ax2, ax3) = plt.subplots(3, 1, sharex=True, figsize=(6, 6))
+
+ax1.fill_between(x, y1)
+ax1.set_title('fill between y1 and 0')
+
+ax2.fill_between(x, y1, 1)
+ax2.set_title('fill between y1 and 1')
+
+ax3.fill_between(x, y1, y2)
+ax3.set_title('fill between y1 and y2')
+ax3.set_xlabel('x')
+fig.tight_layout()
+
+# %%
+#
+# Example: Confidence bands
+# -------------------------
+# A common application for `~.axes.Axes.fill_between` is the indication of
+# confidence bands.
+#
+# `~.axes.Axes.fill_between` uses the colors of the color cycle as the fill
+# color. These may be a bit strong when applied to fill areas. It is
+# therefore often a good practice to lighten the color by making the area
+# semi-transparent using *alpha*.
+
+# sphinx_gallery_thumbnail_number = 2
+
+N = 21
+x = np.linspace(0, 10, 11)
+y = [3.9, 4.4, 10.8, 10.3, 11.2, 13.1, 14.1,  9.9, 13.9, 15.1, 12.5]
+
+# fit a linear curve and estimate its y-values and their error.
+a, b = np.polyfit(x, y, deg=1)
+y_est = a * x + b
+y_err = x.std() * np.sqrt(1/len(x) +
+                          (x - x.mean())**2 / np.sum((x - x.mean())**2))
+
+fig, ax = plt.subplots()
+ax.plot(x, y_est, '-')
+ax.fill_between(x, y_est - y_err, y_est + y_err, alpha=0.2)
+ax.plot(x, y, 'o', color='tab:brown')
+
+# %%
+#
+# Selectively filling horizontal regions
+# --------------------------------------
+# The parameter *where* allows to specify the x-ranges to fill. It's a boolean
+# array with the same size as *x*.
+#
+# Only x-ranges of contiguous *True* sequences are filled. As a result the
+# range between neighboring *True* and *False* values is never filled. This
+# often undesired when the data points should represent a contiguous quantity.
+# It is therefore recommended to set ``interpolate=True`` unless the
+# x-distance of the data points is fine enough so that the above effect is not
+# noticeable. Interpolation approximates the actual x position at which the
+# *where* condition will change and extends the filling up to there.
+
+x = np.array([0, 1, 2, 3])
+y1 = np.array([0.8, 0.8, 0.2, 0.2])
+y2 = np.array([0, 0, 1, 1])
+
+fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
+
+ax1.set_title('interpolation=False')
+ax1.plot(x, y1, 'o--')
+ax1.plot(x, y2, 'o--')
+ax1.fill_between(x, y1, y2, where=(y1 > y2), color='C0', alpha=0.3)
+ax1.fill_between(x, y1, y2, where=(y1 < y2), color='C1', alpha=0.3)
+
+ax2.set_title('interpolation=True')
+ax2.plot(x, y1, 'o--')
+ax2.plot(x, y2, 'o--')
+ax2.fill_between(x, y1, y2, where=(y1 > y2), color='C0', alpha=0.3,
+                 interpolate=True)
+ax2.fill_between(x, y1, y2, where=(y1 <= y2), color='C1', alpha=0.3,
+                 interpolate=True)
+fig.tight_layout()
+
+# %%
+#
+# .. note::
+#
+#    Similar gaps will occur if *y1* or *y2* are masked arrays. Since missing
+#    values cannot be approximated, *interpolate* has no effect in this case.
+#    The gaps around masked values can only be reduced by adding more data
+#    points close to the masked values.
+
+# %%
+#
+# Selectively marking horizontal regions across the whole Axes
+# ------------------------------------------------------------
+# The same selection mechanism can be applied to fill the full vertical height
+# of the Axes. To be independent of y-limits, we add a transform that
+# interprets the x-values in data coordinates and the y-values in Axes
+# coordinates.
+#
+# The following example marks the regions in which the y-data are above a
+# given threshold.
+
+fig, ax = plt.subplots()
+x = np.arange(0, 4 * np.pi, 0.01)
+y = np.sin(x)
+ax.plot(x, y, color='black')
+
+threshold = 0.75
+ax.axhline(threshold, color='green', lw=2, alpha=0.7)
+ax.fill_between(x, 0, 1, where=y > threshold,
+                color='green', alpha=0.5, transform=ax.get_xaxis_transform())
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.fill_between` / `matplotlib.pyplot.fill_between`
+#    - `matplotlib.axes.Axes.get_xaxis_transform`
+#
+# .. tags::
+#
+#    styling: conditional
+#    plot-type: fill_between
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/lines_bars_and_markers/fill_betweenx_demo.py b/galleries/examples/lines_bars_and_markers/fill_betweenx_demo.py
new file mode 100644
index 000000000000..ebd8d2a24a7b
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/fill_betweenx_demo.py
@@ -0,0 +1,60 @@
+"""
+========================================
+Fill the area between two vertical lines
+========================================
+
+Using `~.Axes.fill_betweenx` to color along the horizontal direction between
+two curves.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+y = np.arange(0.0, 2, 0.01)
+x1 = np.sin(2 * np.pi * y)
+x2 = 1.2 * np.sin(4 * np.pi * y)
+
+fig, [ax1, ax2, ax3] = plt.subplots(1, 3, sharey=True, figsize=(6, 6))
+
+ax1.fill_betweenx(y, 0, x1)
+ax1.set_title('between (x1, 0)')
+
+ax2.fill_betweenx(y, x1, 1)
+ax2.set_title('between (x1, 1)')
+ax2.set_xlabel('x')
+
+ax3.fill_betweenx(y, x1, x2)
+ax3.set_title('between (x1, x2)')
+
+# %%
+# Now fill between x1 and x2 where a logical condition is met. Note this is
+# different than calling::
+#
+#   fill_between(y[where], x1[where], x2[where])
+#
+# because of edge effects over multiple contiguous regions.
+
+fig, [ax, ax1] = plt.subplots(1, 2, sharey=True, figsize=(6, 6))
+ax.plot(x1, y, x2, y, color='black')
+ax.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
+ax.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
+ax.set_title('fill_betweenx where')
+
+# Test support for masked arrays.
+x2 = np.ma.masked_greater(x2, 1.0)
+ax1.plot(x1, y, x2, y, color='black')
+ax1.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
+ax1.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
+ax1.set_title('regions with x2 > 1 are masked')
+
+# %%
+# This example illustrates a problem; because of the data gridding, there are
+# undesired unfilled triangles at the crossover points. A brute-force solution
+# would be to interpolate all arrays to a very fine grid before plotting.
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: fill_between
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/gradient_bar.py b/galleries/examples/lines_bars_and_markers/gradient_bar.py
new file mode 100644
index 000000000000..66f497aec91c
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/gradient_bar.py
@@ -0,0 +1,81 @@
+"""
+========================
+Bar chart with gradients
+========================
+
+Matplotlib does not natively support gradients. However, we can emulate a
+gradient-filled rectangle by an `.AxesImage` of the right size and coloring.
+
+In particular, we use a colormap to generate the actual colors. It is then
+sufficient to define the underlying values on the corners of the image and
+let bicubic interpolation fill out the area. We define the gradient direction
+by a unit vector *v*. The values at the corners are then obtained by the
+lengths of the projections of the corner vectors on *v*.
+
+A similar approach can be used to create a gradient background for an Axes.
+In that case, it is helpful to use Axes coordinates (``extent=(0, 1, 0, 1),
+transform=ax.transAxes``) to be independent of the data coordinates.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+
+def gradient_image(ax, direction=0.3, cmap_range=(0, 1), **kwargs):
+    """
+    Draw a gradient image based on a colormap.
+
+    Parameters
+    ----------
+    ax : Axes
+        The Axes to draw on.
+    direction : float
+        The direction of the gradient. This is a number in
+        range 0 (=vertical) to 1 (=horizontal).
+    cmap_range : float, float
+        The fraction (cmin, cmax) of the colormap that should be
+        used for the gradient, where the complete colormap is (0, 1).
+    **kwargs
+        Other parameters are passed on to `.Axes.imshow()`.
+        In particular, *cmap*, *extent*, and *transform* may be useful.
+    """
+    phi = direction * np.pi / 2
+    v = np.array([np.cos(phi), np.sin(phi)])
+    X = np.array([[v @ [1, 0], v @ [1, 1]],
+                  [v @ [0, 0], v @ [0, 1]]])
+    a, b = cmap_range
+    X = a + (b - a) / X.max() * X
+    im = ax.imshow(X, interpolation='bicubic', clim=(0, 1),
+                   aspect='auto', **kwargs)
+    return im
+
+
+def gradient_bar(ax, x, y, width=0.5, bottom=0):
+    for left, top in zip(x, y):
+        right = left + width
+        gradient_image(ax, extent=(left, right, bottom, top),
+                       cmap="Blues_r", cmap_range=(0, 0.8))
+
+
+fig, ax = plt.subplots()
+ax.set(xlim=(0, 10), ylim=(0, 1))
+
+# background image
+gradient_image(ax, direction=1, extent=(0, 1, 0, 1), transform=ax.transAxes,
+               cmap="RdYlGn", cmap_range=(0.2, 0.8), alpha=0.5)
+
+N = 10
+x = np.arange(N) + 0.15
+y = np.random.rand(N)
+gradient_bar(ax, x, y, width=0.7)
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: color
+#    plot-type: imshow
+#    level: intermediate
+#    purpose: showcase
diff --git a/galleries/examples/lines_bars_and_markers/hat_graph.py b/galleries/examples/lines_bars_and_markers/hat_graph.py
new file mode 100644
index 000000000000..0fb611bc9262
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/hat_graph.py
@@ -0,0 +1,86 @@
+"""
+=========
+Hat graph
+=========
+This example shows how to create a `hat graph`_ and how to annotate it with
+labels.
+
+.. _hat graph: https://doi.org/10.1186/s41235-019-0182-3
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def hat_graph(ax, xlabels, values, group_labels):
+    """
+    Create a hat graph.
+
+    Parameters
+    ----------
+    ax : matplotlib.axes.Axes
+        The Axes to plot into.
+    xlabels : list of str
+        The category names to be displayed on the x-axis.
+    values : (M, N) array-like
+        The data values.
+        Rows are the groups (len(group_labels) == M).
+        Columns are the categories (len(xlabels) == N).
+    group_labels : list of str
+        The group labels displayed in the legend.
+    """
+
+    def label_bars(heights, rects):
+        """Attach a text label on top of each bar."""
+        for height, rect in zip(heights, rects):
+            ax.annotate(f'{height}',
+                        xy=(rect.get_x() + rect.get_width() / 2, height),
+                        xytext=(0, 4),  # 4 points vertical offset.
+                        textcoords='offset points',
+                        ha='center', va='bottom')
+
+    values = np.asarray(values)
+    x = np.arange(values.shape[1])
+    ax.set_xticks(x, labels=xlabels)
+    spacing = 0.3  # spacing between hat groups
+    width = (1 - spacing) / values.shape[0]
+    heights0 = values[0]
+    for i, (heights, group_label) in enumerate(zip(values, group_labels)):
+        style = {'fill': False} if i == 0 else {'edgecolor': 'black'}
+        rects = ax.bar(x - spacing/2 + i * width, heights - heights0,
+                       width, bottom=heights0, label=group_label, **style)
+        label_bars(heights, rects)
+
+
+# initialise labels and a numpy array make sure you have
+# N labels of N number of values in the array
+xlabels = ['I', 'II', 'III', 'IV', 'V']
+playerA = np.array([5, 15, 22, 20, 25])
+playerB = np.array([25, 32, 34, 30, 27])
+
+fig, ax = plt.subplots()
+hat_graph(ax, xlabels, [playerA, playerB], ['Player A', 'Player B'])
+
+# Add some text for labels, title and custom x-axis tick labels, etc.
+ax.set_xlabel('Games')
+ax.set_ylabel('Score')
+ax.set_ylim(0, 60)
+ax.set_title('Scores by number of game and players')
+ax.legend()
+
+fig.tight_layout()
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`
+#
+# .. tags::
+#
+#    component: annotation
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/horizontal_barchart_distribution.py b/galleries/examples/lines_bars_and_markers/horizontal_barchart_distribution.py
new file mode 100644
index 000000000000..3f7e499f38e7
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/horizontal_barchart_distribution.py
@@ -0,0 +1,87 @@
+"""
+=============================================
+Discrete distribution as horizontal bar chart
+=============================================
+
+Stacked bar charts can be used to visualize discrete distributions.
+
+This example visualizes the result of a survey in which people could rate
+their agreement to questions on a five-element scale.
+
+The horizontal stacking is achieved by calling `~.Axes.barh()` for each
+category and passing the starting point as the cumulative sum of the
+already drawn bars via the parameter ``left``.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+category_names = ['Strongly disagree', 'Disagree',
+                  'Neither agree nor disagree', 'Agree', 'Strongly agree']
+results = {
+    'Question 1': [10, 15, 17, 32, 26],
+    'Question 2': [26, 22, 29, 10, 13],
+    'Question 3': [35, 37, 7, 2, 19],
+    'Question 4': [32, 11, 9, 15, 33],
+    'Question 5': [21, 29, 5, 5, 40],
+    'Question 6': [8, 19, 5, 30, 38]
+}
+
+
+def survey(results, category_names):
+    """
+    Parameters
+    ----------
+    results : dict
+        A mapping from question labels to a list of answers per category.
+        It is assumed all lists contain the same number of entries and that
+        it matches the length of *category_names*.
+    category_names : list of str
+        The category labels.
+    """
+    labels = list(results.keys())
+    data = np.array(list(results.values()))
+    data_cum = data.cumsum(axis=1)
+    category_colors = plt.colormaps['RdYlGn'](
+        np.linspace(0.15, 0.85, data.shape[1]))
+
+    fig, ax = plt.subplots(figsize=(9.2, 5))
+    ax.invert_yaxis()
+    ax.xaxis.set_visible(False)
+    ax.set_xlim(0, np.sum(data, axis=1).max())
+
+    for i, (colname, color) in enumerate(zip(category_names, category_colors)):
+        widths = data[:, i]
+        starts = data_cum[:, i] - widths
+        rects = ax.barh(labels, widths, left=starts, height=0.5,
+                        label=colname, color=color)
+
+        r, g, b, _ = color
+        text_color = 'white' if r * g * b < 0.5 else 'darkgrey'
+        ax.bar_label(rects, label_type='center', color=text_color)
+    ax.legend(ncols=len(category_names), bbox_to_anchor=(0, 1),
+              loc='lower left', fontsize='small')
+
+    return fig, ax
+
+
+survey(results, category_names)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.barh` / `matplotlib.pyplot.barh`
+#    - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#
+# .. tags::
+#
+#    domain: statistics
+#    component: label
+#    plot-type: bar
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/joinstyle.py b/galleries/examples/lines_bars_and_markers/joinstyle.py
new file mode 100644
index 000000000000..09ae03e07692
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/joinstyle.py
@@ -0,0 +1,19 @@
+"""
+=========
+JoinStyle
+=========
+
+The `matplotlib._enums.JoinStyle` controls how Matplotlib draws the corners
+where two different line segments meet. For more details, see the
+`~matplotlib._enums.JoinStyle` docs.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib._enums import JoinStyle
+
+JoinStyle.demo()
+plt.show()
+
+# %%
+# .. tags:: purpose: reference, styling: linestyle
diff --git a/galleries/examples/lines_bars_and_markers/line_demo_dash_control.py b/galleries/examples/lines_bars_and_markers/line_demo_dash_control.py
new file mode 100644
index 000000000000..3b12cf0aa5b7
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/line_demo_dash_control.py
@@ -0,0 +1,56 @@
+"""
+===============================
+Dashed line style configuration
+===============================
+
+The dashing of a line is controlled via a dash sequence. It can be modified
+using `.Line2D.set_dashes`.
+
+The dash sequence is a series of on/off lengths in points, e.g.
+``[3, 1]`` would be 3pt long lines separated by 1pt spaces.
+
+Some functions like `.Axes.plot` support passing Line properties as keyword
+arguments. In such a case, you can already set the dashing when creating the
+line.
+
+*Note*: The dash style can also be configured via a
+:ref:`property_cycle <color_cycle>`
+by passing a list of dash sequences using the keyword *dashes* to the
+cycler. This is not shown within this example.
+
+Other attributes of the dash may also be set either with the relevant method
+(`~.Line2D.set_dash_capstyle`, `~.Line2D.set_dash_joinstyle`,
+`~.Line2D.set_gapcolor`) or by passing the property through a plotting
+function.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 10, 500)
+y = np.sin(x)
+
+plt.rc('lines', linewidth=2.5)
+fig, ax = plt.subplots()
+
+# Using set_dashes() and set_capstyle() to modify dashing of an existing line.
+line1, = ax.plot(x, y, label='Using set_dashes() and set_dash_capstyle()')
+line1.set_dashes([2, 2, 10, 2])  # 2pt line, 2pt break, 10pt line, 2pt break.
+line1.set_dash_capstyle('round')
+
+# Using plot(..., dashes=...) to set the dashing when creating a line.
+line2, = ax.plot(x, y - 0.2, dashes=[6, 2], label='Using the dashes parameter')
+
+# Using plot(..., dashes=..., gapcolor=...) to set the dashing and
+# alternating color when creating a line.
+line3, = ax.plot(x, y - 0.4, dashes=[4, 4], gapcolor='tab:pink',
+                 label='Using the dashes and gapcolor parameters')
+
+ax.legend(handlelength=4)
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: linestyle
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/lines_with_ticks_demo.py b/galleries/examples/lines_bars_and_markers/lines_with_ticks_demo.py
new file mode 100644
index 000000000000..fba7eb9f045e
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/lines_with_ticks_demo.py
@@ -0,0 +1,39 @@
+"""
+==============================
+Lines with a ticked patheffect
+==============================
+
+Ticks can be added along a line to mark one side as a barrier using
+`~matplotlib.patheffects.TickedStroke`.  You can control the angle,
+spacing, and length of the ticks.
+
+The ticks will also appear appropriately in the legend.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import patheffects
+
+# Plot a straight diagonal line with ticked style path
+fig, ax = plt.subplots(figsize=(6, 6))
+ax.plot([0, 1], [0, 1], label="Line",
+        path_effects=[patheffects.withTickedStroke(spacing=7, angle=135)])
+
+# Plot a curved line with ticked style path
+nx = 101
+x = np.linspace(0.0, 1.0, nx)
+y = 0.3*np.sin(x*8) + 0.4
+ax.plot(x, y, label="Curve", path_effects=[patheffects.withTickedStroke()])
+
+ax.legend()
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: linestyle
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/linestyles.py b/galleries/examples/lines_bars_and_markers/linestyles.py
new file mode 100644
index 000000000000..25b053e912bd
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/linestyles.py
@@ -0,0 +1,87 @@
+"""
+==========
+Linestyles
+==========
+
+Simple linestyles can be defined using the strings "solid", "dotted", "dashed"
+or "dashdot". More refined control can be achieved by providing a dash tuple
+``(offset, (on_off_seq))``. For example, ``(0, (3, 10, 1, 15))`` means
+(3pt line, 10pt space, 1pt line, 15pt space) with no offset, while
+``(5, (10, 3))``, means (10pt line, 3pt space), but skip the first 5pt line.
+See also `.Line2D.set_linestyle`.  The specific on/off sequences of the
+"dotted", "dashed" and "dashdot" styles are configurable:
+
+* :rc:`lines.dotted_pattern`
+* :rc:`lines.dashed_pattern`
+* :rc:`lines.dashdot_pattern`
+
+*Note*: The dash style can also be configured via `.Line2D.set_dashes`
+as shown in :doc:`/gallery/lines_bars_and_markers/line_demo_dash_control`
+and passing a list of dash sequences using the keyword *dashes* to the
+cycler in :ref:`property_cycle <color_cycle>`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+linestyle_str = [
+     ('solid', 'solid'),      # Same as (0, ()) or '-'
+     ('dotted', 'dotted'),    # Same as ':'
+     ('dashed', 'dashed'),    # Same as '--'
+     ('dashdot', 'dashdot')]  # Same as '-.'
+
+linestyle_tuple = [
+     ('loosely dotted',        (0, (1, 10))),
+     ('dotted',                (0, (1, 5))),
+     ('densely dotted',        (0, (1, 1))),
+
+     ('long dash with offset', (5, (10, 3))),
+     ('loosely dashed',        (0, (5, 10))),
+     ('dashed',                (0, (5, 5))),
+     ('densely dashed',        (0, (5, 1))),
+
+     ('loosely dashdotted',    (0, (3, 10, 1, 10))),
+     ('dashdotted',            (0, (3, 5, 1, 5))),
+     ('densely dashdotted',    (0, (3, 1, 1, 1))),
+
+     ('dashdotdotted',         (0, (3, 5, 1, 5, 1, 5))),
+     ('loosely dashdotdotted', (0, (3, 10, 1, 10, 1, 10))),
+     ('densely dashdotdotted', (0, (3, 1, 1, 1, 1, 1)))]
+
+
+def plot_linestyles(ax, linestyles, title):
+    X, Y = np.linspace(0, 100, 10), np.zeros(10)
+    yticklabels = []
+
+    for i, (name, linestyle) in enumerate(linestyles):
+        ax.plot(X, Y+i, linestyle=linestyle, linewidth=1.5, color='black')
+        yticklabels.append(name)
+
+    ax.set_title(title)
+    ax.set(ylim=(-0.5, len(linestyles)-0.5),
+           yticks=np.arange(len(linestyles)),
+           yticklabels=yticklabels)
+    ax.tick_params(left=False, bottom=False, labelbottom=False)
+    ax.spines[:].set_visible(False)
+
+    # For each line style, add a text annotation with a small offset from
+    # the reference point (0 in Axes coords, y tick value in Data coords).
+    for i, (name, linestyle) in enumerate(linestyles):
+        ax.annotate(repr(linestyle),
+                    xy=(0.0, i), xycoords=ax.get_yaxis_transform(),
+                    xytext=(-6, -12), textcoords='offset points',
+                    color="blue", fontsize=8, ha="right", family="monospace")
+
+
+fig, (ax0, ax1) = plt.subplots(2, 1, figsize=(7, 8), height_ratios=[1, 3],
+                               layout='constrained')
+
+plot_linestyles(ax0, linestyle_str[::-1], title='Named linestyles')
+plot_linestyles(ax1, linestyle_tuple[::-1], title='Parametrized linestyles')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: linestyle
+#    purpose: reference
diff --git a/galleries/examples/lines_bars_and_markers/marker_reference.py b/galleries/examples/lines_bars_and_markers/marker_reference.py
new file mode 100644
index 000000000000..32b6291cbc76
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/marker_reference.py
@@ -0,0 +1,248 @@
+"""
+================
+Marker reference
+================
+
+Matplotlib supports multiple categories of markers which are selected using
+the ``marker`` parameter of plot commands:
+
+- `Unfilled markers`_
+- `Filled markers`_
+- `Markers created from TeX symbols`_
+- `Markers created from Paths`_
+
+For a list of all markers see also the `matplotlib.markers` documentation.
+
+For example usages see
+:doc:`/gallery/lines_bars_and_markers/scatter_star_poly`.
+
+.. redirect-from:: /gallery/shapes_and_collections/marker_path
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.lines import Line2D
+from matplotlib.markers import MarkerStyle
+from matplotlib.transforms import Affine2D
+
+text_style = dict(horizontalalignment='right', verticalalignment='center',
+                  fontsize=12, fontfamily='monospace')
+marker_style = dict(linestyle=':', color='0.8', markersize=10,
+                    markerfacecolor="tab:blue", markeredgecolor="tab:blue")
+
+
+def format_axes(ax):
+    ax.margins(0.2)
+    ax.set_axis_off()
+    ax.invert_yaxis()
+
+
+def split_list(a_list):
+    i_half = len(a_list) // 2
+    return a_list[:i_half], a_list[i_half:]
+
+
+# %%
+# Unfilled markers
+# ================
+# Unfilled markers are single-colored.
+
+fig, axs = plt.subplots(ncols=2)
+fig.suptitle('Un-filled markers', fontsize=14)
+
+# Filter out filled markers and marker settings that do nothing.
+unfilled_markers = [m for m, func in Line2D.markers.items()
+                    if func != 'nothing' and m not in Line2D.filled_markers]
+
+for ax, markers in zip(axs, split_list(unfilled_markers)):
+    for y, marker in enumerate(markers):
+        ax.text(-0.5, y, repr(marker), **text_style)
+        ax.plot([y] * 3, marker=marker, **marker_style)
+    format_axes(ax)
+
+# %%
+# Filled markers
+# ==============
+
+fig, axs = plt.subplots(ncols=2)
+fig.suptitle('Filled markers', fontsize=14)
+for ax, markers in zip(axs, split_list(Line2D.filled_markers)):
+    for y, marker in enumerate(markers):
+        ax.text(-0.5, y, repr(marker), **text_style)
+        ax.plot([y] * 3, marker=marker, **marker_style)
+    format_axes(ax)
+
+# %%
+# .. _marker_fill_styles:
+#
+# Marker fill styles
+# ------------------
+# The edge color and fill color of filled markers can be specified separately.
+# Additionally, the ``fillstyle`` can be configured to be unfilled, fully
+# filled, or half-filled in various directions. The half-filled styles use
+# ``markerfacecoloralt`` as secondary fill color.
+
+fig, ax = plt.subplots()
+fig.suptitle('Marker fillstyle', fontsize=14)
+fig.subplots_adjust(left=0.4)
+
+filled_marker_style = dict(marker='o', linestyle=':', markersize=15,
+                           color='darkgrey',
+                           markerfacecolor='tab:blue',
+                           markerfacecoloralt='lightsteelblue',
+                           markeredgecolor='brown')
+
+for y, fill_style in enumerate(Line2D.fillStyles):
+    ax.text(-0.5, y, repr(fill_style), **text_style)
+    ax.plot([y] * 3, fillstyle=fill_style, **filled_marker_style)
+format_axes(ax)
+
+# %%
+# Markers created from TeX symbols
+# ================================
+#
+# Use :ref:`MathText <mathtext>`, to use custom marker symbols,
+# like e.g. ``"$\u266B$"``. For an overview over the STIX font symbols refer
+# to the `STIX font table <http://www.stixfonts.org/allGlyphs.html>`_.
+# Also see the :doc:`/gallery/text_labels_and_annotations/stix_fonts_demo`.
+
+
+fig, ax = plt.subplots()
+fig.suptitle('Mathtext markers', fontsize=14)
+fig.subplots_adjust(left=0.4)
+
+marker_style.update(markeredgecolor="none", markersize=15)
+markers = ["$1$", r"$\frac{1}{2}$", "$f$", "$\u266B$", r"$\mathcal{A}$"]
+
+for y, marker in enumerate(markers):
+    # Escape dollars so that the text is written "as is", not as mathtext.
+    ax.text(-0.5, y, repr(marker).replace("$", r"\$"), **text_style)
+    ax.plot([y] * 3, marker=marker, **marker_style)
+format_axes(ax)
+
+# %%
+# Markers created from Paths
+# ==========================
+#
+# Any `~.path.Path` can be used as a marker. The following example shows two
+# simple paths *star* and *circle*, and a more elaborate path of a circle with
+# a cut-out star.
+
+import numpy as np
+
+import matplotlib.path as mpath
+
+star = mpath.Path.unit_regular_star(6)
+circle = mpath.Path.unit_circle()
+# concatenate the circle with an internal cutout of the star
+cut_star = mpath.Path(
+    vertices=np.concatenate([circle.vertices, star.vertices[::-1, ...]]),
+    codes=np.concatenate([circle.codes, star.codes]))
+
+fig, ax = plt.subplots()
+fig.suptitle('Path markers', fontsize=14)
+fig.subplots_adjust(left=0.4)
+
+markers = {'star': star, 'circle': circle, 'cut_star': cut_star}
+
+for y, (name, marker) in enumerate(markers.items()):
+    ax.text(-0.5, y, name, **text_style)
+    ax.plot([y] * 3, marker=marker, **marker_style)
+format_axes(ax)
+
+# %%
+# Advanced marker modifications with transform
+# ============================================
+#
+# Markers can be modified by passing a transform to the MarkerStyle
+# constructor. Following example shows how a supplied rotation is applied to
+# several marker shapes.
+
+common_style = {k: v for k, v in filled_marker_style.items() if k != 'marker'}
+angles = [0, 10, 20, 30, 45, 60, 90]
+
+fig, ax = plt.subplots()
+fig.suptitle('Rotated markers', fontsize=14)
+
+ax.text(-0.5, 0, 'Filled marker', **text_style)
+for x, theta in enumerate(angles):
+    t = Affine2D().rotate_deg(theta)
+    ax.plot(x, 0, marker=MarkerStyle('o', 'left', t), **common_style)
+
+ax.text(-0.5, 1, 'Un-filled marker', **text_style)
+for x, theta in enumerate(angles):
+    t = Affine2D().rotate_deg(theta)
+    ax.plot(x, 1, marker=MarkerStyle('1', 'left', t), **common_style)
+
+ax.text(-0.5, 2, 'Equation marker', **text_style)
+for x, theta in enumerate(angles):
+    t = Affine2D().rotate_deg(theta)
+    eq = r'$\frac{1}{x}$'
+    ax.plot(x, 2, marker=MarkerStyle(eq, 'left', t), **common_style)
+
+for x, theta in enumerate(angles):
+    ax.text(x, 2.5, f"{theta}°", horizontalalignment="center")
+format_axes(ax)
+
+fig.tight_layout()
+
+# %%
+# Setting marker cap style and join style
+# =======================================
+#
+# Markers have default cap and join styles, but these can be
+# customized when creating a MarkerStyle.
+
+from matplotlib.markers import CapStyle, JoinStyle
+
+marker_inner = dict(markersize=35,
+                    markerfacecolor='tab:blue',
+                    markerfacecoloralt='lightsteelblue',
+                    markeredgecolor='brown',
+                    markeredgewidth=8,
+                    )
+
+marker_outer = dict(markersize=35,
+                    markerfacecolor='tab:blue',
+                    markerfacecoloralt='lightsteelblue',
+                    markeredgecolor='white',
+                    markeredgewidth=1,
+                    )
+
+fig, ax = plt.subplots()
+fig.suptitle('Marker CapStyle', fontsize=14)
+fig.subplots_adjust(left=0.1)
+
+for y, cap_style in enumerate(CapStyle):
+    ax.text(-0.5, y, cap_style.name, **text_style)
+    for x, theta in enumerate(angles):
+        t = Affine2D().rotate_deg(theta)
+        m = MarkerStyle('1', transform=t, capstyle=cap_style)
+        ax.plot(x, y, marker=m, **marker_inner)
+        ax.plot(x, y, marker=m, **marker_outer)
+        ax.text(x, len(CapStyle) - .5, f'{theta}°', ha='center')
+format_axes(ax)
+
+# %%
+# Modifying the join style:
+
+fig, ax = plt.subplots()
+fig.suptitle('Marker JoinStyle', fontsize=14)
+fig.subplots_adjust(left=0.05)
+
+for y, join_style in enumerate(JoinStyle):
+    ax.text(-0.5, y, join_style.name, **text_style)
+    for x, theta in enumerate(angles):
+        t = Affine2D().rotate_deg(theta)
+        m = MarkerStyle('*', transform=t, joinstyle=join_style)
+        ax.plot(x, y, marker=m, **marker_inner)
+        ax.text(x, len(JoinStyle) - .5, f'{theta}°', ha='center')
+format_axes(ax)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    purpose: reference
diff --git a/galleries/examples/lines_bars_and_markers/markevery_demo.py b/galleries/examples/lines_bars_and_markers/markevery_demo.py
new file mode 100644
index 000000000000..919e12cde952
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/markevery_demo.py
@@ -0,0 +1,105 @@
+"""
+==============
+Markevery Demo
+==============
+
+The ``markevery`` property of `.Line2D` allows drawing markers at a subset of
+data points.
+
+The list of possible parameters is specified at `.Line2D.set_markevery`.
+In short:
+
+- A single integer N draws every N-th marker.
+- A tuple of integers (start, N) draws every N-th marker, starting at data
+  index *start*.
+- A list of integers draws the markers at the specified indices.
+- A slice draws the markers at the sliced indices.
+- A float specifies the distance between markers as a fraction of the Axes
+  diagonal in screen space. This will lead to a visually uniform distribution
+  of the points along the line, irrespective of scales and zooming.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# define a list of markevery cases to plot
+cases = [
+    None,
+    8,
+    (30, 8),
+    [16, 24, 32],
+    [0, -1],
+    slice(100, 200, 3),
+    0.1,
+    0.4,
+    (0.2, 0.4)
+]
+
+# data points
+delta = 0.11
+x = np.linspace(0, 10 - 2 * delta, 200) + delta
+y = np.sin(x) + 1.0 + delta
+
+# %%
+# markevery with linear scales
+# ----------------------------
+
+fig, axs = plt.subplots(3, 3, figsize=(10, 6), layout='constrained')
+for ax, markevery in zip(axs.flat, cases):
+    ax.set_title(f'markevery={markevery}')
+    ax.plot(x, y, 'o', ls='-', ms=4, markevery=markevery)
+
+# %%
+# markevery with log scales
+# -------------------------
+#
+# Note that the log scale causes a visual asymmetry in the marker distance for
+# when subsampling the data using an integer. In contrast, subsampling on
+# fraction of figure size creates even distributions, because it's based on
+# fractions of the Axes diagonal, not on data coordinates or data indices.
+
+fig, axs = plt.subplots(3, 3, figsize=(10, 6), layout='constrained')
+for ax, markevery in zip(axs.flat, cases):
+    ax.set_title(f'markevery={markevery}')
+    ax.set_xscale('log')
+    ax.set_yscale('log')
+    ax.plot(x, y, 'o', ls='-', ms=4, markevery=markevery)
+
+# %%
+# markevery on zoomed plots
+# -------------------------
+#
+# Integer-based *markevery* specifications select points from the underlying
+# data and are independent on the view. In contrast, float-based specifications
+# are related to the Axes diagonal. While zooming does not change the Axes
+# diagonal, it changes the displayed data range, and more points will be
+# displayed when zooming.
+
+fig, axs = plt.subplots(3, 3, figsize=(10, 6), layout='constrained')
+for ax, markevery in zip(axs.flat, cases):
+    ax.set_title(f'markevery={markevery}')
+    ax.plot(x, y, 'o', ls='-', ms=4, markevery=markevery)
+    ax.set_xlim((6, 6.7))
+    ax.set_ylim((1.1, 1.7))
+
+# %%
+# markevery on polar plots
+# ------------------------
+
+r = np.linspace(0, 3.0, 200)
+theta = 2 * np.pi * r
+
+fig, axs = plt.subplots(3, 3, figsize=(10, 6), layout='constrained',
+                        subplot_kw={'projection': 'polar'})
+for ax, markevery in zip(axs.flat, cases):
+    ax.set_title(f'markevery={markevery}')
+    ax.plot(theta, r, 'o', ls='-', ms=4, markevery=markevery)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/masked_demo.py b/galleries/examples/lines_bars_and_markers/masked_demo.py
new file mode 100644
index 000000000000..842c5c022f0b
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/masked_demo.py
@@ -0,0 +1,56 @@
+"""
+==============================
+Plotting masked and NaN values
+==============================
+
+Sometimes you need to plot data with missing values.
+
+One possibility is to simply remove undesired data points. The line plotted
+through the remaining data will be continuous, and not indicate where the
+missing data is located.
+
+If it is useful to have gaps in the line where the data is missing, then the
+undesired points can be indicated using a `masked array`_ or by setting their
+values to NaN. No marker will be drawn where either x or y are masked and, if
+plotting with a line, it will be broken there.
+
+.. _masked array:
+   https://numpy.org/doc/stable/reference/maskedarray.generic.html
+
+The following example illustrates the three cases:
+
+1) Removing points.
+2) Masking points.
+3) Setting to NaN.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(-np.pi/2, np.pi/2, 31)
+y = np.cos(x)**3
+
+# 1) remove points where y > 0.7
+x2 = x[y <= 0.7]
+y2 = y[y <= 0.7]
+
+# 2) mask points where y > 0.7
+y3 = np.ma.masked_where(y > 0.7, y)
+
+# 3) set to NaN where y > 0.7
+y4 = y.copy()
+y4[y3 > 0.7] = np.nan
+
+plt.plot(x*0.1, y, 'o-', color='lightgrey', label='No mask')
+plt.plot(x2*0.4, y2, 'o-', label='Points removed')
+plt.plot(x*0.7, y3, 'o-', label='Masked values')
+plt.plot(x*1.0, y4, 'o-', label='NaN values')
+plt.legend()
+plt.title('Masked and NaN data')
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/multicolored_line.py b/galleries/examples/lines_bars_and_markers/multicolored_line.py
new file mode 100644
index 000000000000..3a71225d0112
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/multicolored_line.py
@@ -0,0 +1,189 @@
+"""
+==================
+Multicolored lines
+==================
+
+The example shows two ways to plot a line with the a varying color defined by
+a third value. The first example defines the color at each (x, y) point.
+The second example defines the color between pairs of points, so the length
+of the color value list is one less than the length of the x and y lists.
+
+Color values at points
+----------------------
+
+"""
+
+import warnings
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import LineCollection
+
+
+def colored_line(x, y, c, ax=None, **lc_kwargs):
+    """
+    Plot a line with a color specified along the line by a third value.
+
+    It does this by creating a collection of line segments. Each line segment is
+    made up of two straight lines each connecting the current (x, y) point to the
+    midpoints of the lines connecting the current point with its two neighbors.
+    This creates a smooth line with no gaps between the line segments.
+
+    Parameters
+    ----------
+    x, y : array-like
+        The horizontal and vertical coordinates of the data points.
+    c : array-like
+        The color values, which should be the same size as x and y.
+    ax : matplotlib.axes.Axes, optional
+        The axes to plot on. If not provided, the current axes will be used.
+    **lc_kwargs
+        Any additional arguments to pass to matplotlib.collections.LineCollection
+        constructor. This should not include the array keyword argument because
+        that is set to the color argument. If provided, it will be overridden.
+
+    Returns
+    -------
+    matplotlib.collections.LineCollection
+        The generated line collection representing the colored line.
+    """
+    if "array" in lc_kwargs:
+        warnings.warn(
+            'The provided "array" keyword argument will be overridden',
+            UserWarning,
+            stacklevel=2,
+        )
+
+    xy = np.stack((x, y), axis=-1)
+    xy_mid = np.concat(
+        (xy[0, :][None, :], (xy[:-1, :] + xy[1:, :]) / 2, xy[-1, :][None, :]), axis=0
+    )
+    segments = np.stack((xy_mid[:-1, :], xy, xy_mid[1:, :]), axis=-2)
+    # Note that
+    # segments[0, :, :] is [xy[0, :], xy[0, :], (xy[0, :] + xy[1, :]) / 2]
+    # segments[i, :, :] is [(xy[i - 1, :] + xy[i, :]) / 2, xy[i, :],
+    #     (xy[i, :] + xy[i + 1, :]) / 2] if i not in {0, len(x) - 1}
+    # segments[-1, :, :] is [(xy[-2, :] + xy[-1, :]) / 2, xy[-1, :], xy[-1, :]]
+
+    lc_kwargs["array"] = c
+    lc = LineCollection(segments, **lc_kwargs)
+
+    # Plot the line collection to the axes
+    ax = ax or plt.gca()
+    ax.add_collection(lc)
+    ax.autoscale_view()
+
+    return lc
+
+
+# -------------- Create and show plot --------------
+# Some arbitrary function that gives x, y, and color values
+t = np.linspace(-7.4, -0.5, 200)
+x = 0.9 * np.sin(t)
+y = 0.9 * np.cos(1.6 * t)
+color = np.linspace(0, 2, t.size)
+
+# Create a figure and plot the line on it
+fig1, ax1 = plt.subplots()
+lines = colored_line(x, y, color, ax1, linewidth=10, cmap="plasma")
+fig1.colorbar(lines)  # add a color legend
+
+ax1.set_title("Color at each point")
+
+plt.show()
+
+####################################################################
+# This method is designed to give a smooth impression when distances and color
+# differences between adjacent points are not too large. The following example
+# does not meet this criteria and by that serves to illustrate the segmentation
+# and coloring mechanism.
+x = [0, 1, 2, 3, 4]
+y = [0, 1, 2, 1, 1]
+c = [1, 2, 3, 4, 5]
+fig, ax = plt.subplots()
+ax.scatter(x, y, c=c, cmap='rainbow')
+colored_line(x, y, c=c, ax=ax, cmap='rainbow')
+
+plt.show()
+
+####################################################################
+# Color values between points
+# ---------------------------
+#
+
+
+def colored_line_between_pts(x, y, c, ax, **lc_kwargs):
+    """
+    Plot a line with a color specified between (x, y) points by a third value.
+
+    It does this by creating a collection of line segments between each pair of
+    neighboring points. The color of each segment is determined by the
+    made up of two straight lines each connecting the current (x, y) point to the
+    midpoints of the lines connecting the current point with its two neighbors.
+    This creates a smooth line with no gaps between the line segments.
+
+    Parameters
+    ----------
+    x, y : array-like
+        The horizontal and vertical coordinates of the data points.
+    c : array-like
+        The color values, which should have a size one less than that of x and y.
+    ax : Axes
+        Axis object on which to plot the colored line.
+    **lc_kwargs
+        Any additional arguments to pass to matplotlib.collections.LineCollection
+        constructor. This should not include the array keyword argument because
+        that is set to the color argument. If provided, it will be overridden.
+
+    Returns
+    -------
+    matplotlib.collections.LineCollection
+        The generated line collection representing the colored line.
+    """
+    if "array" in lc_kwargs:
+        warnings.warn('The provided "array" keyword argument will be overridden')
+
+    # Check color array size (LineCollection still works, but values are unused)
+    if len(c) != len(x) - 1:
+        warnings.warn(
+            "The c argument should have a length one less than the length of x and y. "
+            "If it has the same length, use the colored_line function instead."
+        )
+
+    # Create a set of line segments so that we can color them individually
+    # This creates the points as an N x 1 x 2 array so that we can stack points
+    # together easily to get the segments. The segments array for line collection
+    # needs to be (numlines) x (points per line) x 2 (for x and y)
+    points = np.array([x, y]).T.reshape(-1, 1, 2)
+    segments = np.concatenate([points[:-1], points[1:]], axis=1)
+    lc = LineCollection(segments, **lc_kwargs)
+
+    # Set the values used for colormapping
+    lc.set_array(c)
+
+    return ax.add_collection(lc)
+
+
+# -------------- Create and show plot --------------
+x = np.linspace(0, 3 * np.pi, 500)
+y = np.sin(x)
+dydx = np.cos(0.5 * (x[:-1] + x[1:]))  # first derivative
+
+fig2, ax2 = plt.subplots()
+line = colored_line_between_pts(x, y, dydx, ax2, linewidth=2, cmap="viridis")
+fig2.colorbar(line, ax=ax2, label="dy/dx")
+
+ax2.set_xlim(x.min(), x.max())
+ax2.set_ylim(-1.1, 1.1)
+ax2.set_title("Color between points")
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    styling: color
+#    styling: linestyle
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/multivariate_marker_plot.py b/galleries/examples/lines_bars_and_markers/multivariate_marker_plot.py
new file mode 100644
index 000000000000..f9550d7459b2
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/multivariate_marker_plot.py
@@ -0,0 +1,56 @@
+"""
+==============================================
+Mapping marker properties to multivariate data
+==============================================
+
+This example shows how to use different properties of markers to plot
+multivariate datasets. Here we represent a successful baseball throw as a
+smiley face with marker size mapped to the skill of thrower, marker rotation to
+the take-off angle, and thrust to the marker color.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.colors import Normalize
+from matplotlib.markers import MarkerStyle
+from matplotlib.text import TextPath
+from matplotlib.transforms import Affine2D
+
+SUCCESS_SYMBOLS = [
+    TextPath((0, 0), "☹"),
+    TextPath((0, 0), "😒"),
+    TextPath((0, 0), "☺"),
+]
+
+N = 25
+np.random.seed(42)
+skills = np.random.uniform(5, 80, size=N) * 0.1 + 5
+takeoff_angles = np.random.normal(0, 90, N)
+thrusts = np.random.uniform(size=N)
+successful = np.random.randint(0, 3, size=N)
+positions = np.random.normal(size=(N, 2)) * 5
+data = zip(skills, takeoff_angles, thrusts, successful, positions)
+
+cmap = plt.colormaps["plasma"]
+fig, ax = plt.subplots()
+fig.suptitle("Throwing success", size=14)
+for skill, takeoff, thrust, mood, pos in data:
+    t = Affine2D().scale(skill).rotate_deg(takeoff)
+    m = MarkerStyle(SUCCESS_SYMBOLS[mood], transform=t)
+    ax.plot(pos[0], pos[1], marker=m, color=cmap(thrust))
+fig.colorbar(plt.cm.ScalarMappable(norm=Normalize(0, 1), cmap="plasma"),
+             ax=ax, label="Normalized Thrust [a.u.]")
+ax.set_xlabel("X position [m]")
+ax.set_ylabel("Y position [m]")
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    styling: color,
+#    styling: shape
+#    level: beginner
+#    purpose: fun
diff --git a/galleries/examples/lines_bars_and_markers/psd_demo.py b/galleries/examples/lines_bars_and_markers/psd_demo.py
new file mode 100644
index 000000000000..edbfc79289af
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/psd_demo.py
@@ -0,0 +1,187 @@
+"""
+============================
+Power spectral density (PSD)
+============================
+
+Plotting power spectral density (PSD) using `~.Axes.psd`.
+
+The PSD is a common plot in the field of signal processing. NumPy has
+many useful libraries for computing a PSD. Below we demo a few examples
+of how this can be accomplished and visualized with Matplotlib.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.mlab as mlab
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+dt = 0.01
+t = np.arange(0, 10, dt)
+nse = np.random.randn(len(t))
+r = np.exp(-t / 0.05)
+
+cnse = np.convolve(nse, r) * dt
+cnse = cnse[:len(t)]
+s = 0.1 * np.sin(2 * np.pi * t) + cnse
+
+fig, (ax0, ax1) = plt.subplots(2, 1, layout='constrained')
+ax0.plot(t, s)
+ax0.set_xlabel('Time (s)')
+ax0.set_ylabel('Signal')
+ax1.psd(s, NFFT=512, Fs=1 / dt)
+
+plt.show()
+
+# %%
+# Compare this with the equivalent Matlab code to accomplish the same thing::
+#
+#     dt = 0.01;
+#     t = [0:dt:10];
+#     nse = randn(size(t));
+#     r = exp(-t/0.05);
+#     cnse = conv(nse, r)*dt;
+#     cnse = cnse(1:length(t));
+#     s = 0.1*sin(2*pi*t) + cnse;
+#
+#     subplot(211)
+#     plot(t, s)
+#     subplot(212)
+#     psd(s, 512, 1/dt)
+#
+# Below we'll show a slightly more complex example that demonstrates
+# how padding affects the resulting PSD.
+
+dt = np.pi / 100.
+fs = 1. / dt
+t = np.arange(0, 8, dt)
+y = 10. * np.sin(2 * np.pi * 4 * t) + 5. * np.sin(2 * np.pi * 4.25 * t)
+y = y + np.random.randn(*t.shape)
+
+# Plot the raw time series
+fig, axs = plt.subplot_mosaic([
+    ['signal', 'signal', 'signal'],
+    ['zero padding', 'block size', 'overlap'],
+], layout='constrained')
+
+axs['signal'].plot(t, y)
+axs['signal'].set_xlabel('Time (s)')
+axs['signal'].set_ylabel('Signal')
+
+# Plot the PSD with different amounts of zero padding. This uses the entire
+# time series at once
+axs['zero padding'].psd(y, NFFT=len(t), pad_to=len(t), Fs=fs)
+axs['zero padding'].psd(y, NFFT=len(t), pad_to=len(t) * 2, Fs=fs)
+axs['zero padding'].psd(y, NFFT=len(t), pad_to=len(t) * 4, Fs=fs)
+
+# Plot the PSD with different block sizes, Zero pad to the length of the
+# original data sequence.
+axs['block size'].psd(y, NFFT=len(t), pad_to=len(t), Fs=fs)
+axs['block size'].psd(y, NFFT=len(t) // 2, pad_to=len(t), Fs=fs)
+axs['block size'].psd(y, NFFT=len(t) // 4, pad_to=len(t), Fs=fs)
+axs['block size'].set_ylabel('')
+
+# Plot the PSD with different amounts of overlap between blocks
+axs['overlap'].psd(y, NFFT=len(t) // 2, pad_to=len(t), noverlap=0, Fs=fs)
+axs['overlap'].psd(y, NFFT=len(t) // 2, pad_to=len(t),
+                   noverlap=int(0.025 * len(t)), Fs=fs)
+axs['overlap'].psd(y, NFFT=len(t) // 2, pad_to=len(t),
+                   noverlap=int(0.1 * len(t)), Fs=fs)
+axs['overlap'].set_ylabel('')
+axs['overlap'].set_title('overlap')
+
+for title, ax in axs.items():
+    if title == 'signal':
+        continue
+
+    ax.set_title(title)
+    ax.sharex(axs['zero padding'])
+    ax.sharey(axs['zero padding'])
+
+plt.show()
+
+
+# %%
+# This is a ported version of a MATLAB example from the signal
+# processing toolbox that showed some difference at one time between
+# Matplotlib's and MATLAB's scaling of the PSD.
+
+fs = 1000
+t = np.linspace(0, 0.3, 301)
+A = np.array([2, 8]).reshape(-1, 1)
+f = np.array([150, 140]).reshape(-1, 1)
+xn = (A * np.sin(2 * np.pi * f * t)).sum(axis=0)
+xn += 5 * np.random.randn(*t.shape)
+
+fig, (ax0, ax1) = plt.subplots(ncols=2, layout='constrained')
+
+yticks = np.arange(-50, 30, 10)
+yrange = (yticks[0], yticks[-1])
+xticks = np.arange(0, 550, 100)
+
+ax0.psd(xn, NFFT=301, Fs=fs, window=mlab.window_none, pad_to=1024,
+        scale_by_freq=True)
+ax0.set_title('Periodogram')
+ax0.set_yticks(yticks)
+ax0.set_xticks(xticks)
+ax0.grid(True)
+ax0.set_ylim(yrange)
+
+ax1.psd(xn, NFFT=150, Fs=fs, window=mlab.window_none, pad_to=512, noverlap=75,
+        scale_by_freq=True)
+ax1.set_title('Welch')
+ax1.set_xticks(xticks)
+ax1.set_yticks(yticks)
+ax1.set_ylabel('')  # overwrite the y-label added by `psd`
+ax1.grid(True)
+ax1.set_ylim(yrange)
+
+plt.show()
+
+# %%
+# This is a ported version of a MATLAB example from the signal
+# processing toolbox that showed some difference at one time between
+# Matplotlib's and MATLAB's scaling of the PSD.
+#
+# It uses a complex signal so we can see that complex PSD's work properly.
+
+prng = np.random.RandomState(19680801)  # to ensure reproducibility
+
+fs = 1000
+t = np.linspace(0, 0.3, 301)
+A = np.array([2, 8]).reshape(-1, 1)
+f = np.array([150, 140]).reshape(-1, 1)
+xn = (A * np.exp(2j * np.pi * f * t)).sum(axis=0) + 5 * prng.randn(*t.shape)
+
+fig, (ax0, ax1) = plt.subplots(ncols=2, layout='constrained')
+
+yticks = np.arange(-50, 30, 10)
+yrange = (yticks[0], yticks[-1])
+xticks = np.arange(-500, 550, 200)
+
+ax0.psd(xn, NFFT=301, Fs=fs, window=mlab.window_none, pad_to=1024,
+        scale_by_freq=True)
+ax0.set_title('Periodogram')
+ax0.set_yticks(yticks)
+ax0.set_xticks(xticks)
+ax0.grid(True)
+ax0.set_ylim(yrange)
+
+ax1.psd(xn, NFFT=150, Fs=fs, window=mlab.window_none, pad_to=512, noverlap=75,
+        scale_by_freq=True)
+ax1.set_title('Welch')
+ax1.set_xticks(xticks)
+ax1.set_yticks(yticks)
+ax1.set_ylabel('')  # overwrite the y-label added by `psd`
+ax1.grid(True)
+ax1.set_ylim(yrange)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    domain: signal-processing
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/scatter_demo2.py b/galleries/examples/lines_bars_and_markers/scatter_demo2.py
new file mode 100644
index 000000000000..f22c7239d250
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/scatter_demo2.py
@@ -0,0 +1,45 @@
+"""
+=============
+Scatter Demo2
+=============
+
+Demo of scatter plot with varying marker colors and sizes.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+
+# Load a numpy record array from yahoo csv data with fields date, open, high,
+# low, close, volume, adj_close from the mpl-data/sample_data directory. The
+# record array stores the date as an np.datetime64 with a day unit ('D') in
+# the date column.
+price_data = cbook.get_sample_data('goog.npz')['price_data']
+price_data = price_data[-250:]  # get the most recent 250 trading days
+
+delta1 = np.diff(price_data["adj_close"]) / price_data["adj_close"][:-1]
+
+# Marker size in units of points^2
+volume = (15 * price_data["volume"][:-2] / price_data["volume"][0])**2
+close = 0.003 * price_data["close"][:-2] / 0.003 * price_data["open"][:-2]
+
+fig, ax = plt.subplots()
+ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)
+
+ax.set_xlabel(r'$\Delta_i$', fontsize=15)
+ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=15)
+ax.set_title('Volume and percent change')
+
+ax.grid(True)
+fig.tight_layout()
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    styling: color
+#    styling: colormap
+#    plot-type: scatter
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/scatter_hist.py b/galleries/examples/lines_bars_and_markers/scatter_hist.py
new file mode 100644
index 000000000000..d2b4c4eab228
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/scatter_hist.py
@@ -0,0 +1,135 @@
+"""
+============================
+Scatter plot with histograms
+============================
+
+Add histograms to the x-axes and y-axes margins of a scatter plot.
+
+This layout features a central scatter plot illustrating the relationship
+between x and y, a histogram at the top displaying the distribution of x, and a
+histogram on the right showing the distribution of y.
+
+For a nice alignment of the main Axes with the marginals, two options are shown
+below:
+
+.. contents::
+   :local:
+
+While `.Axes.inset_axes` may be a bit more complex, it allows correct handling
+of main Axes with a fixed aspect ratio.
+
+Let us first define a function that takes x and y data as input, as well as
+three Axes, the main Axes for the scatter, and two marginal Axes. It will then
+create the scatter and histograms inside the provided Axes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# some random data
+x = np.random.randn(1000)
+y = np.random.randn(1000)
+
+
+def scatter_hist(x, y, ax, ax_histx, ax_histy):
+    # no labels
+    ax_histx.tick_params(axis="x", labelbottom=False)
+    ax_histy.tick_params(axis="y", labelleft=False)
+
+    # the scatter plot:
+    ax.scatter(x, y)
+
+    # now determine nice limits by hand:
+    binwidth = 0.25
+    xymax = max(np.max(np.abs(x)), np.max(np.abs(y)))
+    lim = (int(xymax/binwidth) + 1) * binwidth
+
+    bins = np.arange(-lim, lim + binwidth, binwidth)
+    ax_histx.hist(x, bins=bins)
+    ax_histy.hist(y, bins=bins, orientation='horizontal')
+
+
+# %%
+# Defining the Axes positions using subplot_mosaic
+# ------------------------------------------------
+#
+# We use the `~.pyplot.subplot_mosaic` function to define the positions and
+# names of the three axes; the empty axes is specified by ``'.'``.  We manually
+# specify the size of the figure, and can make the different axes have
+# different sizes by specifying the *width_ratios* and *height_ratios*
+# arguments. The *layout* argument is set to ``'constrained'`` to optimize the
+# spacing between the axes.
+
+fig, axs = plt.subplot_mosaic([['histx', '.'],
+                               ['scatter', 'histy']],
+                              figsize=(6, 6),
+                              width_ratios=(4, 1), height_ratios=(1, 4),
+                              layout='constrained')
+scatter_hist(x, y, axs['scatter'], axs['histx'], axs['histy'])
+
+
+# %%
+#
+# Defining the Axes positions using inset_axes
+# --------------------------------------------
+#
+# `~.Axes.inset_axes` can be used to position marginals *outside* the main
+# Axes.  The advantage of doing so is that the aspect ratio of the main Axes
+# can be fixed, and the marginals will always be drawn relative to the position
+# of the Axes.
+
+# Create a Figure, which doesn't have to be square.
+fig = plt.figure(layout='constrained')
+# Create the main Axes.
+ax = fig.add_subplot()
+# The main Axes' aspect can be fixed.
+ax.set_aspect('equal')
+# Create marginal Axes, which have 25% of the size of the main Axes.  Note that
+# the inset Axes are positioned *outside* (on the right and the top) of the
+# main Axes, by specifying axes coordinates greater than 1.  Axes coordinates
+# less than 0 would likewise specify positions on the left and the bottom of
+# the main Axes.
+ax_histx = ax.inset_axes([0, 1.05, 1, 0.25], sharex=ax)
+ax_histy = ax.inset_axes([1.05, 0, 0.25, 1], sharey=ax)
+# Draw the scatter plot and marginals.
+scatter_hist(x, y, ax, ax_histx, ax_histy)
+
+plt.show()
+
+
+# %%
+#
+# While we recommend using one of the two methods described above, there are
+# number of other ways to achieve a similar layout:
+#
+# - The Axes can be positioned manually in relative coordinates using
+#   `~matplotlib.figure.Figure.add_axes`.
+# - A gridspec can be used to create the layout
+#   (`~matplotlib.figure.Figure.add_gridspec`) and adding only the three desired
+#   axes (`~matplotlib.figure.Figure.add_subplot`).
+# - Four subplots can be created  using `~.pyplot.subplots`,  and the unused
+#   axes in the upper right can be removed manually.
+# - The ``axes_grid1`` toolkit can be used, as shown in
+#   :doc:`/gallery/axes_grid1/scatter_hist_locatable_axes`.
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.subplot_mosaic`
+#    - `matplotlib.pyplot.subplot_mosaic`
+#    - `matplotlib.figure.Figure.add_subplot`
+#    - `matplotlib.axes.Axes.inset_axes`
+#    - `matplotlib.axes.Axes.scatter`
+#    - `matplotlib.axes.Axes.hist`
+#
+# .. tags::
+#
+#    component: axes
+#    plot-type: scatter
+#    plot-type: histogram
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/scatter_masked.py b/galleries/examples/lines_bars_and_markers/scatter_masked.py
new file mode 100644
index 000000000000..97132e85192e
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/scatter_masked.py
@@ -0,0 +1,39 @@
+"""
+===============================
+Scatter plot with masked values
+===============================
+
+Mask some data points and add a line demarking
+masked regions.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+N = 100
+r0 = 0.6
+x = 0.9 * np.random.rand(N)
+y = 0.9 * np.random.rand(N)
+area = (20 * np.random.rand(N))**2  # 0 to 10 point radii
+c = np.sqrt(area)
+r = np.sqrt(x ** 2 + y ** 2)
+area1 = np.ma.masked_where(r < r0, area)
+area2 = np.ma.masked_where(r >= r0, area)
+plt.scatter(x, y, s=area1, marker='^', c=c)
+plt.scatter(x, y, s=area2, marker='o', c=c)
+# Show the boundary between the regions:
+theta = np.arange(0, np.pi / 2, 0.01)
+plt.plot(r0 * np.cos(theta), r0 * np.sin(theta))
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    plot-type: scatter
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/scatter_star_poly.py b/galleries/examples/lines_bars_and_markers/scatter_star_poly.py
new file mode 100644
index 000000000000..c2fee968ad7b
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/scatter_star_poly.py
@@ -0,0 +1,59 @@
+"""
+===============
+Marker examples
+===============
+
+Example with different ways to specify markers.
+
+See also the `matplotlib.markers` documentation for a list of all markers and
+:doc:`/gallery/lines_bars_and_markers/marker_reference` for more information
+on configuring markers.
+
+.. redirect-from:: /gallery/lines_bars_and_markers/scatter_custom_symbol
+.. redirect-from:: /gallery/lines_bars_and_markers/scatter_symbol
+.. redirect-from:: /gallery/lines_bars_and_markers/scatter_piecharts
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x = np.random.rand(10)
+y = np.random.rand(10)
+z = np.sqrt(x**2 + y**2)
+
+fig, axs = plt.subplots(2, 3, sharex=True, sharey=True, layout="constrained")
+
+# Matplotlib marker symbol
+axs[0, 0].scatter(x, y, s=80, c=z, marker=">")
+axs[0, 0].set_title("marker='>'")
+
+# marker from TeX: passing a TeX symbol name enclosed in $-signs
+axs[0, 1].scatter(x, y, s=80, c=z, marker=r"$\clubsuit$")
+axs[0, 1].set_title(r"marker=r'\$\clubsuit\$'")
+
+# marker from path: passing a custom path of N vertices as a (N, 2) array-like
+verts = [[-1, -1], [1, -1], [1, 1], [-1, -1]]
+axs[0, 2].scatter(x, y, s=80, c=z, marker=verts)
+axs[0, 2].set_title("marker=verts")
+
+# regular pentagon marker
+axs[1, 0].scatter(x, y, s=80, c=z, marker=(5, 0))
+axs[1, 0].set_title("marker=(5, 0)")
+
+# regular 5-pointed star marker
+axs[1, 1].scatter(x, y, s=80, c=z, marker=(5, 1))
+axs[1, 1].set_title("marker=(5, 1)")
+
+# regular 5-pointed asterisk marker
+axs[1, 2].scatter(x, y, s=80, c=z, marker=(5, 2))
+axs[1, 2].set_title("marker=(5, 2)")
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: marker
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/scatter_with_legend.py b/galleries/examples/lines_bars_and_markers/scatter_with_legend.py
new file mode 100644
index 000000000000..e9f19981fe4a
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/scatter_with_legend.py
@@ -0,0 +1,117 @@
+"""
+==========================
+Scatter plot with a legend
+==========================
+
+To create a scatter plot with a legend one may use a loop and create one
+`~.Axes.scatter` plot per item to appear in the legend and set the ``label``
+accordingly.
+
+The following also demonstrates how transparency of the markers
+can be adjusted by giving ``alpha`` a value between 0 and 1.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+
+fig, ax = plt.subplots()
+for color in ['tab:blue', 'tab:orange', 'tab:green']:
+    n = 750
+    x, y = np.random.rand(2, n)
+    scale = 200.0 * np.random.rand(n)
+    ax.scatter(x, y, c=color, s=scale, label=color,
+               alpha=0.3, edgecolors='none')
+
+ax.legend()
+ax.grid(True)
+
+plt.show()
+
+
+# %%
+# .. _automatedlegendcreation:
+#
+# Automated legend creation
+# -------------------------
+#
+# Another option for creating a legend for a scatter is to use the
+# `.PathCollection.legend_elements` method.  It will automatically try to
+# determine a useful number of legend entries to be shown and return a tuple of
+# handles and labels. Those can be passed to the call to `~.axes.Axes.legend`.
+
+
+N = 45
+x, y = np.random.rand(2, N)
+c = np.random.randint(1, 5, size=N)
+s = np.random.randint(10, 220, size=N)
+
+fig, ax = plt.subplots()
+
+scatter = ax.scatter(x, y, c=c, s=s)
+
+# produce a legend with the unique colors from the scatter
+legend1 = ax.legend(*scatter.legend_elements(),
+                    loc="lower left", title="Classes")
+ax.add_artist(legend1)
+
+# produce a legend with a cross-section of sizes from the scatter
+handles, labels = scatter.legend_elements(prop="sizes", alpha=0.6)
+legend2 = ax.legend(handles, labels, loc="upper right", title="Sizes")
+
+plt.show()
+
+
+# %%
+# Further arguments to the `.PathCollection.legend_elements` method
+# can be used to steer how many legend entries are to be created and how they
+# should be labeled. The following shows how to use some of them.
+
+volume = np.random.rayleigh(27, size=40)
+amount = np.random.poisson(10, size=40)
+ranking = np.random.normal(size=40)
+price = np.random.uniform(1, 10, size=40)
+
+fig, ax = plt.subplots()
+
+# Because the price is much too small when being provided as size for ``s``,
+# we normalize it to some useful point sizes, s=0.3*(price*3)**2
+scatter = ax.scatter(volume, amount, c=ranking, s=0.3*(price*3)**2,
+                     vmin=-3, vmax=3, cmap="Spectral")
+
+# Produce a legend for the ranking (colors). Even though there are 40 different
+# rankings, we only want to show 5 of them in the legend.
+legend1 = ax.legend(*scatter.legend_elements(num=5),
+                    loc="upper left", title="Ranking")
+ax.add_artist(legend1)
+
+# Produce a legend for the price (sizes). Because we want to show the prices
+# in dollars, we use the *func* argument to supply the inverse of the function
+# used to calculate the sizes from above. The *fmt* ensures to show the price
+# in dollars. Note how we target at 5 elements here, but obtain only 4 in the
+# created legend due to the automatic round prices that are chosen for us.
+kw = dict(prop="sizes", num=5, color=scatter.cmap(0.7), fmt="$ {x:.2f}",
+          func=lambda s: np.sqrt(s/.3)/3)
+legend2 = ax.legend(*scatter.legend_elements(**kw),
+                    loc="lower right", title="Price")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#    - `matplotlib.collections.PathCollection.legend_elements`
+#
+# .. tags::
+#
+#    component: legend
+#    plot-type: scatter
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/simple_plot.py b/galleries/examples/lines_bars_and_markers/simple_plot.py
new file mode 100644
index 000000000000..8f4324b0fc8d
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/simple_plot.py
@@ -0,0 +1,40 @@
+"""
+=========
+Line plot
+=========
+
+Create a basic line plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data for plotting
+t = np.arange(0.0, 2.0, 0.01)
+s = 1 + np.sin(2 * np.pi * t)
+
+fig, ax = plt.subplots()
+ax.plot(t, s)
+
+ax.set(xlabel='time (s)', ylabel='voltage (mV)',
+       title='About as simple as it gets, folks')
+ax.grid()
+
+fig.savefig("test.png")
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.figure.Figure.savefig`
+#
+# .. tags::
+#
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/span_regions.py b/galleries/examples/lines_bars_and_markers/span_regions.py
new file mode 100644
index 000000000000..ab9d6c8897dc
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/span_regions.py
@@ -0,0 +1,37 @@
+"""
+==========================================================
+Shade regions defined by a logical mask using fill_between
+==========================================================
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2, 0.01)
+s = np.sin(2*np.pi*t)
+
+fig, ax = plt.subplots()
+
+ax.plot(t, s, color='black')
+ax.axhline(0, color='black')
+
+ax.fill_between(t, 1, where=s > 0, facecolor='green', alpha=.5)
+ax.fill_between(t, -1, where=s < 0, facecolor='red', alpha=.5)
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.fill_between`
+#
+# .. tags::
+#
+#    styling: conditional
+#    plot-type: fill_between
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/spectrum_demo.py b/galleries/examples/lines_bars_and_markers/spectrum_demo.py
new file mode 100644
index 000000000000..57706e22be9d
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/spectrum_demo.py
@@ -0,0 +1,58 @@
+"""
+========================
+Spectrum representations
+========================
+
+The plots show different spectrum representations of a sine signal with
+additive noise. A (frequency) spectrum of a discrete-time signal is calculated
+by utilizing the fast Fourier transform (FFT).
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(0)
+
+dt = 0.01  # sampling interval
+Fs = 1 / dt  # sampling frequency
+t = np.arange(0, 10, dt)
+
+# generate noise:
+nse = np.random.randn(len(t))
+r = np.exp(-t / 0.05)
+cnse = np.convolve(nse, r) * dt
+cnse = cnse[:len(t)]
+
+s = 0.1 * np.sin(4 * np.pi * t) + cnse  # the signal
+
+fig = plt.figure(figsize=(7, 7), layout='constrained')
+axs = fig.subplot_mosaic([["signal", "signal"],
+                          ["magnitude", "log_magnitude"],
+                          ["phase", "angle"]])
+
+# plot time signal:
+axs["signal"].set_title("Signal")
+axs["signal"].plot(t, s, color='C0')
+axs["signal"].set_xlabel("Time (s)")
+axs["signal"].set_ylabel("Amplitude")
+
+# plot different spectrum types:
+axs["magnitude"].set_title("Magnitude Spectrum")
+axs["magnitude"].magnitude_spectrum(s, Fs=Fs, color='C1')
+
+axs["log_magnitude"].set_title("Log. Magnitude Spectrum")
+axs["log_magnitude"].magnitude_spectrum(s, Fs=Fs, scale='dB', color='C1')
+
+axs["phase"].set_title("Phase Spectrum ")
+axs["phase"].phase_spectrum(s, Fs=Fs, color='C2')
+
+axs["angle"].set_title("Angle Spectrum")
+axs["angle"].angle_spectrum(s, Fs=Fs, color='C2')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    domain: signal-processing
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/stackplot_demo.py b/galleries/examples/lines_bars_and_markers/stackplot_demo.py
new file mode 100644
index 000000000000..2ed52ed9a2ce
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/stackplot_demo.py
@@ -0,0 +1,81 @@
+"""
+===========================
+Stackplots and streamgraphs
+===========================
+"""
+
+# %%
+# Stackplots
+# ----------
+#
+# Stackplots draw multiple datasets as vertically stacked areas. This is
+# useful when the individual data values and additionally their cumulative
+# value are of interest.
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as mticker
+
+# data from United Nations World Population Prospects (Revision 2019)
+# https://population.un.org/wpp/, license: CC BY 3.0 IGO
+year = [1950, 1960, 1970, 1980, 1990, 2000, 2010, 2018]
+population_by_continent = {
+    'Africa': [.228, .284, .365, .477, .631, .814, 1.044, 1.275],
+    'the Americas': [.340, .425, .519, .619, .727, .840, .943, 1.006],
+    'Asia': [1.394, 1.686, 2.120, 2.625, 3.202, 3.714, 4.169, 4.560],
+    'Europe': [.220, .253, .276, .295, .310, .303, .294, .293],
+    'Oceania': [.012, .015, .019, .022, .026, .031, .036, .039],
+}
+
+fig, ax = plt.subplots()
+ax.stackplot(year, population_by_continent.values(),
+             labels=population_by_continent.keys(), alpha=0.8)
+ax.legend(loc='upper left', reverse=True)
+ax.set_title('World population')
+ax.set_xlabel('Year')
+ax.set_ylabel('Number of people (billions)')
+# add tick at every 200 million people
+ax.yaxis.set_minor_locator(mticker.MultipleLocator(.2))
+
+plt.show()
+
+# %%
+# Streamgraphs
+# ------------
+#
+# Using the *baseline* parameter, you can turn an ordinary stacked area plot
+# with baseline 0 into a stream graph.
+
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def gaussian_mixture(x, n=5):
+    """Return a random mixture of *n* Gaussians, evaluated at positions *x*."""
+    def add_random_gaussian(a):
+        amplitude = 1 / (.1 + np.random.random())
+        dx = x[-1] - x[0]
+        x0 = (2 * np.random.random() - .5) * dx
+        z = 10 / (.1 + np.random.random()) / dx
+        a += amplitude * np.exp(-(z * (x - x0))**2)
+    a = np.zeros_like(x)
+    for j in range(n):
+        add_random_gaussian(a)
+    return a
+
+
+x = np.linspace(0, 100, 101)
+ys = [gaussian_mixture(x) for _ in range(3)]
+
+fig, ax = plt.subplots()
+ax.stackplot(x, ys, baseline='wiggle')
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: stackplot
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/stairs_demo.py b/galleries/examples/lines_bars_and_markers/stairs_demo.py
new file mode 100644
index 000000000000..9c7506e52b27
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/stairs_demo.py
@@ -0,0 +1,97 @@
+"""
+===========
+Stairs Demo
+===========
+
+This example demonstrates the use of `~.matplotlib.pyplot.stairs` for stepwise
+constant functions. A common use case is histogram and histogram-like data
+visualization.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import StepPatch
+
+np.random.seed(0)
+h, edges = np.histogram(np.random.normal(5, 3, 5000),
+                        bins=np.linspace(0, 10, 20))
+
+fig, axs = plt.subplots(3, 1, figsize=(7, 15))
+axs[0].stairs(h, edges, label='Simple histogram')
+axs[0].stairs(h, edges + 5, baseline=50, label='Modified baseline')
+axs[0].stairs(h, edges + 10, baseline=None, label='No edges')
+axs[0].set_title("Step Histograms")
+
+axs[1].stairs(np.arange(1, 6, 1), fill=True,
+              label='Filled histogram\nw/ automatic edges')
+axs[1].stairs(np.arange(1, 6, 1)*0.3, np.arange(2, 8, 1),
+              orientation='horizontal', hatch='//',
+              label='Hatched histogram\nw/ horizontal orientation')
+axs[1].set_title("Filled histogram")
+
+patch = StepPatch(values=[1, 2, 3, 2, 1],
+                  edges=range(1, 7),
+                  label=('Patch derived underlying object\n'
+                         'with default edge/facecolor behaviour'))
+axs[2].add_patch(patch)
+axs[2].set_xlim(0, 7)
+axs[2].set_ylim(-1, 5)
+axs[2].set_title("StepPatch artist")
+
+for ax in axs:
+    ax.legend()
+plt.show()
+
+# %%
+# *baseline* can take an array to allow for stacked histogram plots
+A = [[0, 0, 0],
+     [1, 2, 3],
+     [2, 4, 6],
+     [3, 6, 9]]
+
+for i in range(len(A) - 1):
+    plt.stairs(A[i+1], baseline=A[i], fill=True)
+
+# %%
+# Comparison of `.pyplot.step` and `.pyplot.stairs`
+# -------------------------------------------------
+#
+# `.pyplot.step` defines the positions of the steps as single values. The steps
+# extend left/right/both ways from these reference values depending on the
+# parameter *where*. The number of *x* and *y* values is the same.
+#
+# In contrast, `.pyplot.stairs` defines the positions of the steps via their
+# bounds *edges*, which is one element longer than the step values.
+
+bins = np.arange(14)
+centers = bins[:-1] + np.diff(bins) / 2
+y = np.sin(centers / 2)
+
+plt.step(bins[:-1], y, where='post', label='step(where="post")')
+plt.plot(bins[:-1], y, 'o--', color='grey', alpha=0.3)
+
+plt.stairs(y - 1, bins, baseline=None, label='stairs()')
+plt.plot(centers, y - 1, 'o--', color='grey', alpha=0.3)
+plt.plot(np.repeat(bins, 2), np.hstack([y[0], np.repeat(y, 2), y[-1]]) - 1,
+         'o', color='red', alpha=0.2)
+
+plt.legend()
+plt.title('step() vs. stairs()')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.stairs` / `matplotlib.pyplot.stairs`
+#    - `matplotlib.patches.StepPatch`
+#
+# .. tags::
+#
+#    plot-type: stairs
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/stem_plot.py b/galleries/examples/lines_bars_and_markers/stem_plot.py
new file mode 100644
index 000000000000..cde8fd8e8017
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/stem_plot.py
@@ -0,0 +1,43 @@
+"""
+=========
+Stem plot
+=========
+
+`~.pyplot.stem` plots vertical lines from a baseline to the y-coordinate and
+places a marker at the tip.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0.1, 2 * np.pi, 41)
+y = np.exp(np.sin(x))
+
+plt.stem(x, y)
+plt.show()
+
+# %%
+#
+# The position of the baseline can be adapted using *bottom*.
+# The parameters *linefmt*, *markerfmt*, and *basefmt* control basic format
+# properties of the plot. However, in contrast to `~.pyplot.plot` not all
+# properties are configurable via keyword arguments. For more advanced
+# control adapt the line objects returned by `.pyplot`.
+
+markerline, stemlines, baseline = plt.stem(
+    x, y, linefmt='grey', markerfmt='D', bottom=1.1)
+markerline.set_markerfacecolor('none')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.stem` / `matplotlib.pyplot.stem`
+#
+# .. tags::
+#
+#    plot-type: stem
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/step_demo.py b/galleries/examples/lines_bars_and_markers/step_demo.py
new file mode 100644
index 000000000000..f74a069e52f3
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/step_demo.py
@@ -0,0 +1,71 @@
+"""
+=========
+Step Demo
+=========
+
+This example demonstrates the use of `.pyplot.step` for piece-wise constant
+curves. In particular, it illustrates the effect of the parameter *where*
+on the step position.
+
+.. note::
+
+    For the common case that you know the edge positions, use `.pyplot.stairs`
+    instead.
+
+The circular markers created with `.pyplot.plot` show the actual data
+positions so that it's easier to see the effect of *where*.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(14)
+y = np.sin(x / 2)
+
+plt.step(x, y + 2, label='pre (default)')
+plt.plot(x, y + 2, 'o--', color='grey', alpha=0.3)
+
+plt.step(x, y + 1, where='mid', label='mid')
+plt.plot(x, y + 1, 'o--', color='grey', alpha=0.3)
+
+plt.step(x, y, where='post', label='post')
+plt.plot(x, y, 'o--', color='grey', alpha=0.3)
+
+plt.grid(axis='x', color='0.95')
+plt.legend(title='Parameter where:')
+plt.title('plt.step(where=...)')
+plt.show()
+
+# %%
+# The same behavior can be achieved by using the ``drawstyle`` parameter of
+# `.pyplot.plot`.
+
+plt.plot(x, y + 2, drawstyle='steps', label='steps (=steps-pre)')
+plt.plot(x, y + 2, 'o--', color='grey', alpha=0.3)
+
+plt.plot(x, y + 1, drawstyle='steps-mid', label='steps-mid')
+plt.plot(x, y + 1, 'o--', color='grey', alpha=0.3)
+
+plt.plot(x, y, drawstyle='steps-post', label='steps-post')
+plt.plot(x, y, 'o--', color='grey', alpha=0.3)
+
+plt.grid(axis='x', color='0.95')
+plt.legend(title='Parameter drawstyle:')
+plt.title('plt.plot(drawstyle=...)')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.step` / `matplotlib.pyplot.step`
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#
+# .. tags::
+#
+#    plot-type: step
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/timeline.py b/galleries/examples/lines_bars_and_markers/timeline.py
new file mode 100644
index 000000000000..07aec891dfaf
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/timeline.py
@@ -0,0 +1,136 @@
+"""
+====================================
+Timeline with lines, dates, and text
+====================================
+
+How to create a simple timeline using Matplotlib release dates.
+
+Timelines can be created with a collection of dates and text. In this example,
+we show how to create a simple timeline using the dates for recent releases
+of Matplotlib. First, we'll pull the data from GitHub.
+"""
+
+from datetime import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.dates as mdates
+
+try:
+    # Try to fetch a list of Matplotlib releases and their dates
+    # from https://api.github.com/repos/matplotlib/matplotlib/releases
+    import json
+    import urllib.request
+
+    url = 'https://api.github.com/repos/matplotlib/matplotlib/releases'
+    url += '?per_page=100'
+    data = json.loads(urllib.request.urlopen(url, timeout=1).read().decode())
+
+    dates = []
+    releases = []
+    for item in data:
+        if 'rc' not in item['tag_name'] and 'b' not in item['tag_name']:
+            dates.append(item['published_at'].split("T")[0])
+            releases.append(item['tag_name'].lstrip("v"))
+
+except Exception:
+    # In case the above fails, e.g. because of missing internet connection
+    # use the following lists as fallback.
+    releases = ['2.2.4', '3.0.3', '3.0.2', '3.0.1', '3.0.0', '2.2.3',
+                '2.2.2', '2.2.1', '2.2.0', '2.1.2', '2.1.1', '2.1.0',
+                '2.0.2', '2.0.1', '2.0.0', '1.5.3', '1.5.2', '1.5.1',
+                '1.5.0', '1.4.3', '1.4.2', '1.4.1', '1.4.0']
+    dates = ['2019-02-26', '2019-02-26', '2018-11-10', '2018-11-10',
+             '2018-09-18', '2018-08-10', '2018-03-17', '2018-03-16',
+             '2018-03-06', '2018-01-18', '2017-12-10', '2017-10-07',
+             '2017-05-10', '2017-05-02', '2017-01-17', '2016-09-09',
+             '2016-07-03', '2016-01-10', '2015-10-29', '2015-02-16',
+             '2014-10-26', '2014-10-18', '2014-08-26']
+
+dates = [datetime.strptime(d, "%Y-%m-%d") for d in dates]  # Convert strs to dates.
+releases = [tuple(release.split('.')) for release in releases]  # Split by component.
+dates, releases = zip(*sorted(zip(dates, releases)))  # Sort by increasing date.
+
+# %%
+# Next, we'll create a stem plot with some variation in levels as to
+# distinguish even close-by events. We add markers on the baseline for visual
+# emphasis on the one-dimensional nature of the timeline.
+#
+# For each event, we add a text label via `~.Axes.annotate`, which is offset
+# in units of points from the tip of the event line.
+#
+# Note that Matplotlib will automatically plot datetime inputs.
+
+# Choose some nice levels: alternate meso releases between top and bottom, and
+# progressively shorten the stems for micro releases.
+levels = []
+macro_meso_releases = sorted({release[:2] for release in releases})
+for release in releases:
+    macro_meso = release[:2]
+    micro = int(release[2])
+    h = 1 + 0.8 * (5 - micro)
+    level = h if macro_meso_releases.index(macro_meso) % 2 == 0 else -h
+    levels.append(level)
+
+
+def is_feature(release):
+    """Return whether a version (split into components) is a feature release."""
+    return release[-1] == '0'
+
+
+# The figure and the axes.
+fig, ax = plt.subplots(figsize=(8.8, 4), layout="constrained")
+ax.set(title="Matplotlib release dates")
+
+# The vertical stems.
+ax.vlines(dates, 0, levels,
+          color=[("tab:red", 1 if is_feature(release) else .5) for release in releases])
+# The baseline.
+ax.axhline(0, c="black")
+# The markers on the baseline.
+meso_dates = [date for date, release in zip(dates, releases) if is_feature(release)]
+micro_dates = [date for date, release in zip(dates, releases)
+               if not is_feature(release)]
+ax.plot(micro_dates, np.zeros_like(micro_dates), "ko", mfc="white")
+ax.plot(meso_dates, np.zeros_like(meso_dates), "ko", mfc="tab:red")
+
+# Annotate the lines.
+for date, level, release in zip(dates, levels, releases):
+    version_str = '.'.join(release)
+    ax.annotate(version_str, xy=(date, level),
+                xytext=(-3, np.sign(level)*3), textcoords="offset points",
+                verticalalignment="bottom" if level > 0 else "top",
+                weight="bold" if is_feature(release) else "normal",
+                bbox=dict(boxstyle='square', pad=0, lw=0, fc=(1, 1, 1, 0.7)))
+
+ax.xaxis.set(major_locator=mdates.YearLocator(),
+             major_formatter=mdates.DateFormatter("%Y"))
+
+# Remove the y-axis and some spines.
+ax.yaxis.set_visible(False)
+ax.spines[["left", "top", "right"]].set_visible(False)
+
+ax.margins(y=0.1)
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.annotate`
+#    - `matplotlib.axes.Axes.vlines`
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.axis.Axis.set_major_formatter`
+#    - `matplotlib.dates.MonthLocator`
+#    - `matplotlib.dates.DateFormatter`
+#
+# .. tags::
+#
+#    component: annotation
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/lines_bars_and_markers/vline_hline_demo.py b/galleries/examples/lines_bars_and_markers/vline_hline_demo.py
new file mode 100644
index 000000000000..4bec4be760ee
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/vline_hline_demo.py
@@ -0,0 +1,40 @@
+"""
+=================
+hlines and vlines
+=================
+
+This example showcases the functions hlines and vlines.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+t = np.arange(0.0, 5.0, 0.1)
+s = np.exp(-t) + np.sin(2 * np.pi * t) + 1
+nse = np.random.normal(0.0, 0.3, t.shape) * s
+
+fig, (vax, hax) = plt.subplots(1, 2, figsize=(12, 6))
+
+vax.plot(t, s + nse, '^')
+vax.vlines(t, [0], s)
+# By using ``transform=vax.get_xaxis_transform()`` the y coordinates are scaled
+# such that 0 maps to the bottom of the Axes and 1 to the top.
+vax.vlines([1, 2], 0, 1, transform=vax.get_xaxis_transform(), colors='r')
+vax.set_xlabel('time (s)')
+vax.set_title('Vertical lines demo')
+
+hax.plot(s + nse, t, '^')
+hax.hlines(t, [0], s, lw=2)
+hax.set_xlabel('time (s)')
+hax.set_title('Horizontal lines demo')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/lines_bars_and_markers/xcorr_acorr_demo.py b/galleries/examples/lines_bars_and_markers/xcorr_acorr_demo.py
new file mode 100644
index 000000000000..7878ef8d7468
--- /dev/null
+++ b/galleries/examples/lines_bars_and_markers/xcorr_acorr_demo.py
@@ -0,0 +1,41 @@
+"""
+===========================
+Cross- and auto-correlation
+===========================
+
+Example use of cross-correlation (`~.Axes.xcorr`) and auto-correlation
+(`~.Axes.acorr`) plots.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+x, y = np.random.randn(2, 100)
+fig, [ax1, ax2] = plt.subplots(2, 1, sharex=True)
+ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True, lw=2)
+ax1.grid(True)
+ax1.set_title('Cross-correlation (xcorr)')
+
+ax2.acorr(x, usevlines=True, normed=True, maxlags=50, lw=2)
+ax2.grid(True)
+ax2.set_title('Auto-correlation (acorr)')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.acorr` / `matplotlib.pyplot.acorr`
+#    - `matplotlib.axes.Axes.xcorr` / `matplotlib.pyplot.xcorr`
+#
+# .. tags::
+#
+#    domain: statistics
+#    level: beginner
diff --git a/galleries/examples/misc/README.txt b/galleries/examples/misc/README.txt
new file mode 100644
index 000000000000..c2fbe88e116c
--- /dev/null
+++ b/galleries/examples/misc/README.txt
@@ -0,0 +1,4 @@
+.. _misc-examples-index:
+
+Miscellaneous
+=============
diff --git a/galleries/examples/misc/anchored_artists.py b/galleries/examples/misc/anchored_artists.py
new file mode 100644
index 000000000000..bd1ec013c2a9
--- /dev/null
+++ b/galleries/examples/misc/anchored_artists.py
@@ -0,0 +1,76 @@
+"""
+================
+Anchored Artists
+================
+
+This example illustrates the use of the anchored objects without the
+helper classes found in :mod:`mpl_toolkits.axes_grid1`. This version
+of the figure is similar to the one found in
+:doc:`/gallery/axes_grid1/simple_anchored_artists`, but it is
+implemented using only the matplotlib namespace, without the help
+of additional toolkits.
+
+.. redirect-from:: /gallery/userdemo/anchored_box01
+.. redirect-from:: /gallery/userdemo/anchored_box02
+.. redirect-from:: /gallery/userdemo/anchored_box03
+"""
+
+from matplotlib import pyplot as plt
+from matplotlib.lines import Line2D
+from matplotlib.offsetbox import (AnchoredOffsetbox, AuxTransformBox,
+                                  DrawingArea, TextArea, VPacker)
+from matplotlib.patches import Circle, Ellipse
+
+
+def draw_text(ax):
+    """Draw a text-box anchored to the upper-left corner of the figure."""
+    box = AnchoredOffsetbox(child=TextArea("Figure 1a"),
+                            loc="upper left", frameon=True)
+    box.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
+    ax.add_artist(box)
+
+
+def draw_circles(ax):
+    """Draw circles in axes coordinates."""
+    area = DrawingArea(width=40, height=20)
+    area.add_artist(Circle((10, 10), 10, fc="tab:blue"))
+    area.add_artist(Circle((30, 10), 5, fc="tab:red"))
+    box = AnchoredOffsetbox(
+        child=area, loc="upper right", pad=0, frameon=False)
+    ax.add_artist(box)
+
+
+def draw_ellipse(ax):
+    """Draw an ellipse of width=0.1, height=0.15 in data coordinates."""
+    aux_tr_box = AuxTransformBox(ax.transData)
+    aux_tr_box.add_artist(Ellipse((0, 0), width=0.1, height=0.15))
+    box = AnchoredOffsetbox(child=aux_tr_box, loc="lower left", frameon=True)
+    ax.add_artist(box)
+
+
+def draw_sizebar(ax):
+    """
+    Draw a horizontal bar with length of 0.1 in data coordinates,
+    with a fixed label center-aligned underneath.
+    """
+    size = 0.1
+    text = r"1$^{\prime}$"
+    sizebar = AuxTransformBox(ax.transData)
+    sizebar.add_artist(Line2D([0, size], [0, 0], color="black"))
+    text = TextArea(text)
+    packer = VPacker(
+        children=[sizebar, text], align="center", sep=5)  # separation in points.
+    ax.add_artist(AnchoredOffsetbox(
+        child=packer, loc="lower center", frameon=False,
+        pad=0.1, borderpad=0.5))  # paddings relative to the legend fontsize.
+
+
+fig, ax = plt.subplots()
+ax.set_aspect(1)
+
+draw_text(ax)
+draw_circles(ax)
+draw_ellipse(ax)
+draw_sizebar(ax)
+
+plt.show()
diff --git a/galleries/examples/misc/bbox_intersect.py b/galleries/examples/misc/bbox_intersect.py
new file mode 100644
index 000000000000..9103705537d5
--- /dev/null
+++ b/galleries/examples/misc/bbox_intersect.py
@@ -0,0 +1,39 @@
+"""
+==================================
+Identify whether artists intersect
+==================================
+
+The lines intersecting the rectangle are colored in red, while the others
+are left as blue lines. This example showcases the `.intersects_bbox` function.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.path import Path
+from matplotlib.transforms import Bbox
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+left, bottom, width, height = (-1, -1, 2, 2)
+rect = plt.Rectangle((left, bottom), width, height,
+                     facecolor="black", alpha=0.1)
+
+fig, ax = plt.subplots()
+ax.add_patch(rect)
+
+bbox = Bbox.from_bounds(left, bottom, width, height)
+
+for i in range(12):
+    vertices = (np.random.random((2, 2)) - 0.5) * 6.0
+    path = Path(vertices)
+    if path.intersects_bbox(bbox):
+        color = 'r'
+    else:
+        color = 'b'
+    ax.plot(vertices[:, 0], vertices[:, 1], color=color)
+
+plt.show()
diff --git a/galleries/examples/misc/contour_manual.py b/galleries/examples/misc/contour_manual.py
new file mode 100644
index 000000000000..796b8695d914
--- /dev/null
+++ b/galleries/examples/misc/contour_manual.py
@@ -0,0 +1,59 @@
+"""
+==============
+Manual Contour
+==============
+
+Example of displaying your own contour lines and polygons using ContourSet.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.contour import ContourSet
+from matplotlib.path import Path
+
+# %%
+# Contour lines for each level are a list/tuple of polygons.
+lines0 = [[[0, 0], [0, 4]]]
+lines1 = [[[2, 0], [1, 2], [1, 3]]]
+lines2 = [[[3, 0], [3, 2]], [[3, 3], [3, 4]]]  # Note two lines.
+
+# %%
+# Filled contours between two levels are also a list/tuple of polygons.
+# Points can be ordered clockwise or anticlockwise.
+filled01 = [[[0, 0], [0, 4], [1, 3], [1, 2], [2, 0]]]
+filled12 = [[[2, 0], [3, 0], [3, 2], [1, 3], [1, 2]],   # Note two polygons.
+            [[1, 4], [3, 4], [3, 3]]]
+
+# %%
+
+fig, ax = plt.subplots()
+
+# Filled contours using filled=True.
+cs = ContourSet(ax, [0, 1, 2], [filled01, filled12], filled=True, cmap="bone")
+cbar = fig.colorbar(cs)
+
+# Contour lines (non-filled).
+lines = ContourSet(
+    ax, [0, 1, 2], [lines0, lines1, lines2], cmap="cool", linewidths=3)
+cbar.add_lines(lines)
+
+ax.set(xlim=(-0.5, 3.5), ylim=(-0.5, 4.5),
+       title='User-specified contours')
+
+# %%
+# Multiple filled contour lines can be specified in a single list of polygon
+# vertices along with a list of vertex kinds (code types) as described in the
+# Path class.  This is particularly useful for polygons with holes.
+
+fig, ax = plt.subplots()
+filled01 = [[[0, 0], [3, 0], [3, 3], [0, 3], [1, 1], [1, 2], [2, 2], [2, 1]]]
+M = Path.MOVETO
+L = Path.LINETO
+kinds01 = [[M, L, L, L, M, L, L, L]]
+cs = ContourSet(ax, [0, 1], [filled01], [kinds01], filled=True)
+cbar = fig.colorbar(cs)
+
+ax.set(xlim=(-0.5, 3.5), ylim=(-0.5, 3.5),
+       title='User specified filled contours with holes')
+
+plt.show()
diff --git a/galleries/examples/misc/coords_report.py b/galleries/examples/misc/coords_report.py
new file mode 100644
index 000000000000..84503be35c5f
--- /dev/null
+++ b/galleries/examples/misc/coords_report.py
@@ -0,0 +1,28 @@
+"""
+=============
+Coords Report
+=============
+
+Override the default reporting of coords as the mouse moves over the Axes
+in an interactive backend.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def millions(x):
+    return '$%1.1fM' % (x * 1e-6)
+
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x = np.random.rand(20)
+y = 1e7 * np.random.rand(20)
+
+fig, ax = plt.subplots()
+ax.fmt_ydata = millions
+plt.plot(x, y, 'o')
+
+plt.show()
diff --git a/galleries/examples/misc/custom_projection.py b/galleries/examples/misc/custom_projection.py
new file mode 100644
index 000000000000..1bd4ce772b0a
--- /dev/null
+++ b/galleries/examples/misc/custom_projection.py
@@ -0,0 +1,446 @@
+"""
+=================
+Custom projection
+=================
+
+Showcase Hammer projection by alleviating many features of Matplotlib.
+"""
+
+import numpy as np
+
+import matplotlib
+from matplotlib.axes import Axes
+import matplotlib.axis as maxis
+from matplotlib.patches import Circle
+from matplotlib.path import Path
+from matplotlib.projections import register_projection
+import matplotlib.spines as mspines
+from matplotlib.ticker import FixedLocator, Formatter, NullLocator
+from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
+
+rcParams = matplotlib.rcParams
+
+# This example projection class is rather long, but it is designed to
+# illustrate many features, not all of which will be used every time.
+# It is also common to factor out a lot of these methods into common
+# code used by a number of projections with similar characteristics
+# (see geo.py).
+
+
+class GeoAxes(Axes):
+    """
+    An abstract base class for geographic projections
+    """
+    class ThetaFormatter(Formatter):
+        """
+        Used to format the theta tick labels.  Converts the native
+        unit of radians into degrees and adds a degree symbol.
+        """
+        def __init__(self, round_to=1.0):
+            self._round_to = round_to
+
+        def __call__(self, x, pos=None):
+            degrees = round(np.rad2deg(x) / self._round_to) * self._round_to
+            return f"{degrees:0.0f}\N{DEGREE SIGN}"
+
+    RESOLUTION = 75
+
+    def _init_axis(self):
+        self.xaxis = maxis.XAxis(self)
+        self.yaxis = maxis.YAxis(self)
+        # Do not register xaxis or yaxis with spines -- as done in
+        # Axes._init_axis() -- until GeoAxes.xaxis.clear() works.
+        # self.spines['geo'].register_axis(self.yaxis)
+
+    def clear(self):
+        # docstring inherited
+        super().clear()
+
+        self.set_longitude_grid(30)
+        self.set_latitude_grid(15)
+        self.set_longitude_grid_ends(75)
+        self.xaxis.set_minor_locator(NullLocator())
+        self.yaxis.set_minor_locator(NullLocator())
+        self.xaxis.set_ticks_position('none')
+        self.yaxis.set_ticks_position('none')
+        self.yaxis.set_tick_params(label1On=True)
+        # Why do we need to turn on yaxis tick labels, but
+        # xaxis tick labels are already on?
+
+        self.grid(rcParams['axes.grid'])
+
+        Axes.set_xlim(self, -np.pi, np.pi)
+        Axes.set_ylim(self, -np.pi / 2.0, np.pi / 2.0)
+
+    def _set_lim_and_transforms(self):
+        # A (possibly non-linear) projection on the (already scaled) data
+
+        # There are three important coordinate spaces going on here:
+        #
+        # 1. Data space: The space of the data itself
+        #
+        # 2. Axes space: The unit rectangle (0, 0) to (1, 1)
+        #    covering the entire plot area.
+        #
+        # 3. Display space: The coordinates of the resulting image,
+        #    often in pixels or dpi/inch.
+
+        # This function makes heavy use of the Transform classes in
+        # ``lib/matplotlib/transforms.py.`` For more information, see
+        # the inline documentation there.
+
+        # The goal of the first two transformations is to get from the
+        # data space (in this case longitude and latitude) to Axes
+        # space.  It is separated into a non-affine and affine part so
+        # that the non-affine part does not have to be recomputed when
+        # a simple affine change to the figure has been made (such as
+        # resizing the window or changing the dpi).
+
+        # 1) The core transformation from data space into
+        # rectilinear space defined in the HammerTransform class.
+        self.transProjection = self._get_core_transform(self.RESOLUTION)
+
+        # 2) The above has an output range that is not in the unit
+        # rectangle, so scale and translate it so it fits correctly
+        # within the Axes.  The peculiar calculations of xscale and
+        # yscale are specific to an Aitoff-Hammer projection, so don't
+        # worry about them too much.
+        self.transAffine = self._get_affine_transform()
+
+        # 3) This is the transformation from Axes space to display
+        # space.
+        self.transAxes = BboxTransformTo(self.bbox)
+
+        # Now put these 3 transforms together -- from data all the way
+        # to display coordinates.  Using the '+' operator, these
+        # transforms will be applied "in order".  The transforms are
+        # automatically simplified, if possible, by the underlying
+        # transformation framework.
+        self.transData = \
+            self.transProjection + \
+            self.transAffine + \
+            self.transAxes
+
+        # The main data transformation is set up.  Now deal with
+        # gridlines and tick labels.
+
+        # Longitude gridlines and ticklabels.  The input to these
+        # transforms are in display space in x and Axes space in y.
+        # Therefore, the input values will be in range (-xmin, 0),
+        # (xmax, 1).  The goal of these transforms is to go from that
+        # space to display space.  The tick labels will be offset 4
+        # pixels from the equator.
+        self._xaxis_pretransform = \
+            Affine2D() \
+            .scale(1.0, self._longitude_cap * 2.0) \
+            .translate(0.0, -self._longitude_cap)
+        self._xaxis_transform = \
+            self._xaxis_pretransform + \
+            self.transData
+        self._xaxis_text1_transform = \
+            Affine2D().scale(1.0, 0.0) + \
+            self.transData + \
+            Affine2D().translate(0.0, 4.0)
+        self._xaxis_text2_transform = \
+            Affine2D().scale(1.0, 0.0) + \
+            self.transData + \
+            Affine2D().translate(0.0, -4.0)
+
+        # Now set up the transforms for the latitude ticks.  The input to
+        # these transforms are in Axes space in x and display space in
+        # y.  Therefore, the input values will be in range (0, -ymin),
+        # (1, ymax).  The goal of these transforms is to go from that
+        # space to display space.  The tick labels will be offset 4
+        # pixels from the edge of the Axes ellipse.
+        yaxis_stretch = Affine2D().scale(np.pi*2, 1).translate(-np.pi, 0)
+        yaxis_space = Affine2D().scale(1.0, 1.1)
+        self._yaxis_transform = \
+            yaxis_stretch + \
+            self.transData
+        yaxis_text_base = \
+            yaxis_stretch + \
+            self.transProjection + \
+            (yaxis_space +
+             self.transAffine +
+             self.transAxes)
+        self._yaxis_text1_transform = \
+            yaxis_text_base + \
+            Affine2D().translate(-8.0, 0.0)
+        self._yaxis_text2_transform = \
+            yaxis_text_base + \
+            Affine2D().translate(8.0, 0.0)
+
+    def _get_affine_transform(self):
+        transform = self._get_core_transform(1)
+        xscale, _ = transform.transform((np.pi, 0))
+        _, yscale = transform.transform((0, np.pi/2))
+        return Affine2D() \
+            .scale(0.5 / xscale, 0.5 / yscale) \
+            .translate(0.5, 0.5)
+
+    def get_xaxis_transform(self, which='grid'):
+        """
+        Override this method to provide a transformation for the
+        x-axis tick labels.
+
+        Returns a tuple of the form (transform, valign, halign)
+        """
+        if which not in ['tick1', 'tick2', 'grid']:
+            raise ValueError(
+                "'which' must be one of 'tick1', 'tick2', or 'grid'")
+        return self._xaxis_transform
+
+    def get_xaxis_text1_transform(self, pad):
+        return self._xaxis_text1_transform, 'bottom', 'center'
+
+    def get_xaxis_text2_transform(self, pad):
+        """
+        Override this method to provide a transformation for the
+        secondary x-axis tick labels.
+
+        Returns a tuple of the form (transform, valign, halign)
+        """
+        return self._xaxis_text2_transform, 'top', 'center'
+
+    def get_yaxis_transform(self, which='grid'):
+        """
+        Override this method to provide a transformation for the
+        y-axis grid and ticks.
+        """
+        if which not in ['tick1', 'tick2', 'grid']:
+            raise ValueError(
+                "'which' must be one of 'tick1', 'tick2', or 'grid'")
+        return self._yaxis_transform
+
+    def get_yaxis_text1_transform(self, pad):
+        """
+        Override this method to provide a transformation for the
+        y-axis tick labels.
+
+        Returns a tuple of the form (transform, valign, halign)
+        """
+        return self._yaxis_text1_transform, 'center', 'right'
+
+    def get_yaxis_text2_transform(self, pad):
+        """
+        Override this method to provide a transformation for the
+        secondary y-axis tick labels.
+
+        Returns a tuple of the form (transform, valign, halign)
+        """
+        return self._yaxis_text2_transform, 'center', 'left'
+
+    def _gen_axes_patch(self):
+        """
+        Override this method to define the shape that is used for the
+        background of the plot.  It should be a subclass of Patch.
+
+        In this case, it is a Circle (that may be warped by the Axes
+        transform into an ellipse).  Any data and gridlines will be
+        clipped to this shape.
+        """
+        return Circle((0.5, 0.5), 0.5)
+
+    def _gen_axes_spines(self):
+        return {'geo': mspines.Spine.circular_spine(self, (0.5, 0.5), 0.5)}
+
+    def set_yscale(self, *args, **kwargs):
+        if args[0] != 'linear':
+            raise NotImplementedError
+
+    # Prevent the user from applying scales to one or both of the
+    # axes.  In this particular case, scaling the axes wouldn't make
+    # sense, so we don't allow it.
+    set_xscale = set_yscale
+
+    # Prevent the user from changing the axes limits.  In our case, we
+    # want to display the whole sphere all the time, so we override
+    # set_xlim and set_ylim to ignore any input.  This also applies to
+    # interactive panning and zooming in the GUI interfaces.
+    def set_xlim(self, *args, **kwargs):
+        raise TypeError("Changing axes limits of a geographic projection is "
+                        "not supported.  Please consider using Cartopy.")
+
+    set_ylim = set_xlim
+
+    def format_coord(self, lon, lat):
+        """
+        Override this method to change how the values are displayed in
+        the status bar.
+
+        In this case, we want them to be displayed in degrees N/S/E/W.
+        """
+        lon, lat = np.rad2deg([lon, lat])
+        ns = 'N' if lat >= 0.0 else 'S'
+        ew = 'E' if lon >= 0.0 else 'W'
+        return ('%f\N{DEGREE SIGN}%s, %f\N{DEGREE SIGN}%s'
+                % (abs(lat), ns, abs(lon), ew))
+
+    def set_longitude_grid(self, degrees):
+        """
+        Set the number of degrees between each longitude grid.
+
+        This is an example method that is specific to this projection
+        class -- it provides a more convenient interface to set the
+        ticking than set_xticks would.
+        """
+        # Skip -180 and 180, which are the fixed limits.
+        grid = np.arange(-180 + degrees, 180, degrees)
+        self.xaxis.set_major_locator(FixedLocator(np.deg2rad(grid)))
+        self.xaxis.set_major_formatter(self.ThetaFormatter(degrees))
+
+    def set_latitude_grid(self, degrees):
+        """
+        Set the number of degrees between each longitude grid.
+
+        This is an example method that is specific to this projection
+        class -- it provides a more convenient interface than
+        set_yticks would.
+        """
+        # Skip -90 and 90, which are the fixed limits.
+        grid = np.arange(-90 + degrees, 90, degrees)
+        self.yaxis.set_major_locator(FixedLocator(np.deg2rad(grid)))
+        self.yaxis.set_major_formatter(self.ThetaFormatter(degrees))
+
+    def set_longitude_grid_ends(self, degrees):
+        """
+        Set the latitude(s) at which to stop drawing the longitude grids.
+
+        Often, in geographic projections, you wouldn't want to draw
+        longitude gridlines near the poles.  This allows the user to
+        specify the degree at which to stop drawing longitude grids.
+
+        This is an example method that is specific to this projection
+        class -- it provides an interface to something that has no
+        analogy in the base Axes class.
+        """
+        self._longitude_cap = np.deg2rad(degrees)
+        self._xaxis_pretransform \
+            .clear() \
+            .scale(1.0, self._longitude_cap * 2.0) \
+            .translate(0.0, -self._longitude_cap)
+
+    def get_data_ratio(self):
+        """
+        Return the aspect ratio of the data itself.
+
+        This method should be overridden by any Axes that have a
+        fixed data ratio.
+        """
+        return 1.0
+
+    # Interactive panning and zooming is not supported with this projection,
+    # so we override all of the following methods to disable it.
+    def can_zoom(self):
+        """
+        Return whether this Axes supports the zoom box button functionality.
+
+        This Axes object does not support interactive zoom box.
+        """
+        return False
+
+    def can_pan(self):
+        """
+        Return whether this Axes supports the pan/zoom button functionality.
+
+        This Axes object does not support interactive pan/zoom.
+        """
+        return False
+
+    def start_pan(self, x, y, button):
+        pass
+
+    def end_pan(self):
+        pass
+
+    def drag_pan(self, button, key, x, y):
+        pass
+
+
+class HammerAxes(GeoAxes):
+    """
+    A custom class for the Aitoff-Hammer projection, an equal-area map
+    projection.
+
+    https://en.wikipedia.org/wiki/Hammer_projection
+    """
+
+    # The projection must specify a name. This will be used by the
+    # user to select the projection,
+    # i.e. ``subplot(projection='custom_hammer')``.
+    name = 'custom_hammer'
+
+    class HammerTransform(Transform):
+        """The base Hammer transform."""
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            """
+            Create a new Hammer transform.  Resolution is the number of steps
+            to interpolate between each input line segment to approximate its
+            path in curved Hammer space.
+            """
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform_non_affine(self, ll):
+            longitude, latitude = ll.T
+
+            # Pre-compute some values
+            half_long = longitude / 2
+            cos_latitude = np.cos(latitude)
+            sqrt2 = np.sqrt(2)
+
+            alpha = np.sqrt(1 + cos_latitude * np.cos(half_long))
+            x = (2 * sqrt2) * (cos_latitude * np.sin(half_long)) / alpha
+            y = (sqrt2 * np.sin(latitude)) / alpha
+            return np.column_stack([x, y])
+
+        def transform_path_non_affine(self, path):
+            # vertices = path.vertices
+            ipath = path.interpolated(self._resolution)
+            return Path(self.transform(ipath.vertices), ipath.codes)
+
+        def inverted(self):
+            return HammerAxes.InvertedHammerTransform(self._resolution)
+
+    class InvertedHammerTransform(Transform):
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform_non_affine(self, xy):
+            x, y = xy.T
+            z = np.sqrt(1 - (x / 4) ** 2 - (y / 2) ** 2)
+            longitude = 2 * np.arctan((z * x) / (2 * (2 * z ** 2 - 1)))
+            latitude = np.arcsin(y*z)
+            return np.column_stack([longitude, latitude])
+
+        def inverted(self):
+            return HammerAxes.HammerTransform(self._resolution)
+
+    def __init__(self, *args, **kwargs):
+        self._longitude_cap = np.pi / 2.0
+        super().__init__(*args, **kwargs)
+        self.set_aspect(0.5, adjustable='box', anchor='C')
+        self.clear()
+
+    def _get_core_transform(self, resolution):
+        return self.HammerTransform(resolution)
+
+
+# Now register the projection with Matplotlib so the user can select it.
+register_projection(HammerAxes)
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    # Now make a simple example using the custom projection.
+    fig, ax = plt.subplots(subplot_kw={'projection': 'custom_hammer'})
+    ax.plot([-1, 1, 1], [-1, -1, 1], "o-")
+    ax.grid()
+
+    plt.show()
diff --git a/galleries/examples/misc/customize_rc.py b/galleries/examples/misc/customize_rc.py
new file mode 100644
index 000000000000..3cf877059151
--- /dev/null
+++ b/galleries/examples/misc/customize_rc.py
@@ -0,0 +1,59 @@
+"""
+============
+Customize Rc
+============
+
+I'm not trying to make a good-looking figure here, but just to show
+some examples of customizing `.rcParams` on the fly.
+
+If you like to work interactively, and need to create different sets
+of defaults for figures (e.g., one set of defaults for publication, one
+set for interactive exploration), you may want to define some
+functions in a custom module that set the defaults, e.g.,::
+
+    def set_pub():
+        rcParams.update({
+            "font.weight": "bold",  # bold fonts
+            "tick.labelsize": 15,   # large tick labels
+            "lines.linewidth": 1,   # thick lines
+            "lines.color": "k",     # black lines
+            "grid.color": "0.5",    # gray gridlines
+            "grid.linestyle": "-",  # solid gridlines
+            "grid.linewidth": 0.5,  # thin gridlines
+            "savefig.dpi": 300,     # higher resolution output.
+        })
+
+Then as you are working interactively, you just need to do::
+
+    >>> set_pub()
+    >>> plot([1, 2, 3])
+    >>> savefig('myfig')
+    >>> rcdefaults()  # restore the defaults
+"""
+
+import matplotlib.pyplot as plt
+
+plt.subplot(311)
+plt.plot([1, 2, 3])
+
+# the axes attributes need to be set before the call to subplot
+plt.rcParams.update({
+    "font.weight": "bold",
+    "xtick.major.size": 5,
+    "xtick.major.pad": 7,
+    "xtick.labelsize": 15,
+    "grid.color": "0.5",
+    "grid.linestyle": "-",
+    "grid.linewidth": 5,
+    "lines.linewidth": 2,
+    "lines.color": "g",
+})
+plt.subplot(312)
+plt.plot([1, 2, 3])
+plt.grid(True)
+
+plt.rcdefaults()
+plt.subplot(313)
+plt.plot([1, 2, 3])
+plt.grid(True)
+plt.show()
diff --git a/galleries/examples/misc/demo_agg_filter.py b/galleries/examples/misc/demo_agg_filter.py
new file mode 100644
index 000000000000..278fd998dd78
--- /dev/null
+++ b/galleries/examples/misc/demo_agg_filter.py
@@ -0,0 +1,297 @@
+"""
+==========
+AGG filter
+==========
+
+Most pixel-based backends in Matplotlib use `Anti-Grain Geometry (AGG)`_ for
+rendering. You can modify the rendering of Artists by applying a filter via
+`.Artist.set_agg_filter`.
+
+.. _Anti-Grain Geometry (AGG): http://agg.sourceforge.net/antigrain.com
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.artist import Artist
+from matplotlib.colors import LightSource
+import matplotlib.transforms as mtransforms
+
+
+def smooth1d(x, window_len):
+    # copied from https://scipy-cookbook.readthedocs.io/items/SignalSmooth.html
+    s = np.r_[2*x[0] - x[window_len:1:-1], x, 2*x[-1] - x[-1:-window_len:-1]]
+    w = np.hanning(window_len)
+    y = np.convolve(w/w.sum(), s, mode='same')
+    return y[window_len-1:-window_len+1]
+
+
+def smooth2d(A, sigma=3):
+    window_len = max(int(sigma), 3) * 2 + 1
+    A = np.apply_along_axis(smooth1d, 0, A, window_len)
+    A = np.apply_along_axis(smooth1d, 1, A, window_len)
+    return A
+
+
+class BaseFilter:
+
+    def get_pad(self, dpi):
+        return 0
+
+    def process_image(self, padded_src, dpi):
+        raise NotImplementedError("Should be overridden by subclasses")
+
+    def __call__(self, im, dpi):
+        pad = self.get_pad(dpi)
+        padded_src = np.pad(im, [(pad, pad), (pad, pad), (0, 0)], "constant")
+        tgt_image = self.process_image(padded_src, dpi)
+        return tgt_image, -pad, -pad
+
+
+class OffsetFilter(BaseFilter):
+
+    def __init__(self, offsets=(0, 0)):
+        self.offsets = offsets
+
+    def get_pad(self, dpi):
+        return int(max(self.offsets) / 72 * dpi)
+
+    def process_image(self, padded_src, dpi):
+        ox, oy = self.offsets
+        a1 = np.roll(padded_src, int(ox / 72 * dpi), axis=1)
+        a2 = np.roll(a1, -int(oy / 72 * dpi), axis=0)
+        return a2
+
+
+class GaussianFilter(BaseFilter):
+    """Simple Gaussian filter."""
+
+    def __init__(self, sigma, alpha=0.5, color=(0, 0, 0)):
+        self.sigma = sigma
+        self.alpha = alpha
+        self.color = color
+
+    def get_pad(self, dpi):
+        return int(self.sigma*3 / 72 * dpi)
+
+    def process_image(self, padded_src, dpi):
+        tgt_image = np.empty_like(padded_src)
+        tgt_image[:, :, :3] = self.color
+        tgt_image[:, :, 3] = smooth2d(padded_src[:, :, 3] * self.alpha,
+                                      self.sigma / 72 * dpi)
+        return tgt_image
+
+
+class DropShadowFilter(BaseFilter):
+
+    def __init__(self, sigma, alpha=0.3, color=(0, 0, 0), offsets=(0, 0)):
+        self.gauss_filter = GaussianFilter(sigma, alpha, color)
+        self.offset_filter = OffsetFilter(offsets)
+
+    def get_pad(self, dpi):
+        return max(self.gauss_filter.get_pad(dpi),
+                   self.offset_filter.get_pad(dpi))
+
+    def process_image(self, padded_src, dpi):
+        t1 = self.gauss_filter.process_image(padded_src, dpi)
+        t2 = self.offset_filter.process_image(t1, dpi)
+        return t2
+
+
+class LightFilter(BaseFilter):
+    """Apply LightSource filter"""
+
+    def __init__(self, sigma, fraction=1):
+        """
+        Parameters
+        ----------
+        sigma : float
+            sigma for gaussian filter
+        fraction: number, default: 1
+            Increases or decreases the contrast of the hillshade.
+            See `matplotlib.colors.LightSource`
+
+        """
+        self.gauss_filter = GaussianFilter(sigma, alpha=1)
+        self.light_source = LightSource()
+        self.fraction = fraction
+
+    def get_pad(self, dpi):
+        return self.gauss_filter.get_pad(dpi)
+
+    def process_image(self, padded_src, dpi):
+        t1 = self.gauss_filter.process_image(padded_src, dpi)
+        elevation = t1[:, :, 3]
+        rgb = padded_src[:, :, :3]
+        alpha = padded_src[:, :, 3:]
+        rgb2 = self.light_source.shade_rgb(rgb, elevation,
+                                           fraction=self.fraction,
+                                           blend_mode="overlay")
+        return np.concatenate([rgb2, alpha], -1)
+
+
+class GrowFilter(BaseFilter):
+    """Enlarge the area."""
+
+    def __init__(self, pixels, color=(1, 1, 1)):
+        self.pixels = pixels
+        self.color = color
+
+    def __call__(self, im, dpi):
+        alpha = np.pad(im[..., 3], self.pixels, "constant")
+        alpha2 = np.clip(smooth2d(alpha, self.pixels / 72 * dpi) * 5, 0, 1)
+        new_im = np.empty((*alpha2.shape, 4))
+        new_im[:, :, :3] = self.color
+        new_im[:, :, 3] = alpha2
+        offsetx, offsety = -self.pixels, -self.pixels
+        return new_im, offsetx, offsety
+
+
+class FilteredArtistList(Artist):
+    """A simple container to filter multiple artists at once."""
+
+    def __init__(self, artist_list, filter):
+        super().__init__()
+        self._artist_list = artist_list
+        self._filter = filter
+
+    def draw(self, renderer):
+        renderer.start_rasterizing()
+        renderer.start_filter()
+        for a in self._artist_list:
+            a.draw(renderer)
+        renderer.stop_filter(self._filter)
+        renderer.stop_rasterizing()
+
+
+def filtered_text(ax):
+    # mostly copied from contour_demo.py
+
+    # prepare image
+    delta = 0.025
+    x = np.arange(-3.0, 3.0, delta)
+    y = np.arange(-2.0, 2.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    # draw
+    ax.imshow(Z, interpolation='bilinear', origin='lower',
+              cmap="gray", extent=(-3, 3, -2, 2), aspect='auto')
+    levels = np.arange(-1.2, 1.6, 0.2)
+    CS = ax.contour(Z, levels,
+                    origin='lower',
+                    linewidths=2,
+                    extent=(-3, 3, -2, 2))
+
+    # contour label
+    cl = ax.clabel(CS, levels[1::2],  # label every second level
+                   fmt='%1.1f',
+                   fontsize=11)
+
+    # change clabel color to black
+    from matplotlib.patheffects import Normal
+    for t in cl:
+        t.set_color("k")
+        # to force TextPath (i.e., same font in all backends)
+        t.set_path_effects([Normal()])
+
+    # Add white glows to improve visibility of labels.
+    white_glows = FilteredArtistList(cl, GrowFilter(3))
+    ax.add_artist(white_glows)
+    white_glows.set_zorder(cl[0].get_zorder() - 0.1)
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+def drop_shadow_line(ax):
+    # copied from examples/misc/svg_filter_line.py
+
+    # draw lines
+    l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-")
+    l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "ro-")
+
+    gauss = DropShadowFilter(4)
+
+    for l in [l1, l2]:
+
+        # draw shadows with same lines with slight offset.
+        xx = l.get_xdata()
+        yy = l.get_ydata()
+        shadow, = ax.plot(xx, yy)
+        shadow.update_from(l)
+
+        # offset transform
+        transform = mtransforms.offset_copy(l.get_transform(), ax.figure,
+                                            x=4.0, y=-6.0, units='points')
+        shadow.set_transform(transform)
+
+        # adjust zorder of the shadow lines so that it is drawn below the
+        # original lines
+        shadow.set_zorder(l.get_zorder() - 0.5)
+        shadow.set_agg_filter(gauss)
+        shadow.set_rasterized(True)  # to support mixed-mode renderers
+
+    ax.set_xlim(0., 1.)
+    ax.set_ylim(0., 1.)
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+def drop_shadow_patches(ax):
+    # Copied from barchart_demo.py
+    N = 5
+    group1_means = [20, 35, 30, 35, 27]
+
+    ind = np.arange(N)  # the x locations for the groups
+    width = 0.35  # the width of the bars
+
+    rects1 = ax.bar(ind, group1_means, width, color='r', ec="w", lw=2)
+
+    group2_means = [25, 32, 34, 20, 25]
+    rects2 = ax.bar(ind + width + 0.1, group2_means, width,
+                    color='y', ec="w", lw=2)
+
+    drop = DropShadowFilter(5, offsets=(1, 1))
+    shadow = FilteredArtistList(rects1 + rects2, drop)
+    ax.add_artist(shadow)
+    shadow.set_zorder(rects1[0].get_zorder() - 0.1)
+
+    ax.set_ylim(0, 40)
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+def light_filter_pie(ax):
+    fracs = [15, 30, 45, 10]
+    explode = (0.1, 0.2, 0.1, 0.1)
+    pies = ax.pie(fracs, explode=explode)
+
+    light_filter = LightFilter(9)
+    for p in pies[0]:
+        p.set_agg_filter(light_filter)
+        p.set_rasterized(True)  # to support mixed-mode renderers
+        p.set(ec="none",
+              lw=2)
+
+    gauss = DropShadowFilter(9, offsets=(3, -4), alpha=0.7)
+    shadow = FilteredArtistList(pies[0], gauss)
+    ax.add_artist(shadow)
+    shadow.set_zorder(pies[0][0].get_zorder() - 0.1)
+
+
+if __name__ == "__main__":
+
+    fix, axs = plt.subplots(2, 2)
+
+    filtered_text(axs[0, 0])
+    drop_shadow_line(axs[0, 1])
+    drop_shadow_patches(axs[1, 0])
+    light_filter_pie(axs[1, 1])
+    axs[1, 1].set_frame_on(True)
+
+    plt.show()
diff --git a/galleries/examples/misc/demo_ribbon_box.py b/galleries/examples/misc/demo_ribbon_box.py
new file mode 100644
index 000000000000..5400a2a0063e
--- /dev/null
+++ b/galleries/examples/misc/demo_ribbon_box.py
@@ -0,0 +1,94 @@
+"""
+==========
+Ribbon box
+==========
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from matplotlib import colors as mcolors
+from matplotlib.image import AxesImage
+from matplotlib.transforms import Bbox, BboxTransformTo, TransformedBbox
+
+
+class RibbonBox:
+
+    original_image = plt.imread(
+        cbook.get_sample_data("Minduka_Present_Blue_Pack.png"))
+    cut_location = 70
+    b_and_h = original_image[:, :, 2:3]
+    color = original_image[:, :, 2:3] - original_image[:, :, 0:1]
+    alpha = original_image[:, :, 3:4]
+    nx = original_image.shape[1]
+
+    def __init__(self, color):
+        rgb = mcolors.to_rgb(color)
+        self.im = np.dstack(
+            [self.b_and_h - self.color * (1 - np.array(rgb)), self.alpha])
+
+    def get_stretched_image(self, stretch_factor):
+        stretch_factor = max(stretch_factor, 1)
+        ny, nx, nch = self.im.shape
+        ny2 = int(ny*stretch_factor)
+        return np.vstack(
+            [self.im[:self.cut_location],
+             np.broadcast_to(
+                 self.im[self.cut_location], (ny2 - ny, nx, nch)),
+             self.im[self.cut_location:]])
+
+
+class RibbonBoxImage(AxesImage):
+    zorder = 1
+
+    def __init__(self, ax, bbox, color, *, extent=(0, 1, 0, 1), **kwargs):
+        super().__init__(ax, extent=extent, **kwargs)
+        self._bbox = bbox
+        self._ribbonbox = RibbonBox(color)
+        self.set_transform(BboxTransformTo(bbox))
+
+    def draw(self, renderer):
+        stretch_factor = self._bbox.height / self._bbox.width
+
+        ny = int(stretch_factor*self._ribbonbox.nx)
+        if self.get_array() is None or self.get_array().shape[0] != ny:
+            arr = self._ribbonbox.get_stretched_image(stretch_factor)
+            self.set_array(arr)
+
+        super().draw(renderer)
+
+
+def main():
+    fig, ax = plt.subplots()
+
+    years = np.arange(2004, 2009)
+    heights = [7900, 8100, 7900, 6900, 2800]
+    box_colors = [
+        (0.8, 0.2, 0.2),
+        (0.2, 0.8, 0.2),
+        (0.2, 0.2, 0.8),
+        (0.7, 0.5, 0.8),
+        (0.3, 0.8, 0.7),
+    ]
+
+    for year, h, bc in zip(years, heights, box_colors):
+        bbox0 = Bbox.from_extents(year - 0.4, 0., year + 0.4, h)
+        bbox = TransformedBbox(bbox0, ax.transData)
+        ax.add_artist(RibbonBoxImage(ax, bbox, bc, interpolation="bicubic"))
+        ax.annotate(str(h), (year, h), va="bottom", ha="center")
+
+    ax.set_xlim(years[0] - 0.5, years[-1] + 0.5)
+    ax.set_ylim(0, 10000)
+
+    background_gradient = np.zeros((2, 2, 4))
+    background_gradient[:, :, :3] = [1, 1, 0]
+    background_gradient[:, :, 3] = [[0.1, 0.3], [0.3, 0.5]]  # alpha channel
+    ax.imshow(background_gradient, interpolation="bicubic", zorder=0.1,
+              extent=(0, 1, 0, 1), transform=ax.transAxes)
+
+    plt.show()
+
+
+main()
diff --git a/galleries/examples/misc/fig_x.py b/galleries/examples/misc/fig_x.py
new file mode 100644
index 000000000000..593a7e8f8aa5
--- /dev/null
+++ b/galleries/examples/misc/fig_x.py
@@ -0,0 +1,30 @@
+"""
+==============================
+Add lines directly to a figure
+==============================
+
+You can add artists such as a `.Line2D` directly to a figure. This is
+typically useful for visual structuring.
+
+.. redirect-from:: /gallery/pyplots/fig_x
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.lines as lines
+
+fig, axs = plt.subplots(2, 2, gridspec_kw={'hspace': 0.4, 'wspace': 0.4})
+fig.add_artist(lines.Line2D([0, 1], [0.47, 0.47], linewidth=3))
+fig.add_artist(lines.Line2D([0.5, 0.5], [1, 0], linewidth=3))
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.figure`
+#    - `matplotlib.lines`
+#    - `matplotlib.lines.Line2D`
diff --git a/galleries/examples/misc/fill_spiral.py b/galleries/examples/misc/fill_spiral.py
new file mode 100644
index 000000000000..35b06886e985
--- /dev/null
+++ b/galleries/examples/misc/fill_spiral.py
@@ -0,0 +1,29 @@
+"""
+===========
+Fill spiral
+===========
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+theta = np.arange(0, 8*np.pi, 0.1)
+a = 1
+b = .2
+
+for dt in np.arange(0, 2*np.pi, np.pi/2.0):
+
+    x = a*np.cos(theta + dt)*np.exp(b*theta)
+    y = a*np.sin(theta + dt)*np.exp(b*theta)
+
+    dt = dt + np.pi/4.0
+
+    x2 = a*np.cos(theta + dt)*np.exp(b*theta)
+    y2 = a*np.sin(theta + dt)*np.exp(b*theta)
+
+    xf = np.concatenate((x, x2[::-1]))
+    yf = np.concatenate((y, y2[::-1]))
+
+    p1 = plt.fill(xf, yf)
+
+plt.show()
diff --git a/examples/pylab_examples/findobj_demo.py b/galleries/examples/misc/findobj_demo.py
similarity index 95%
rename from examples/pylab_examples/findobj_demo.py
rename to galleries/examples/misc/findobj_demo.py
index 17bd6dd83b79..c953040f8aa3 100644
--- a/examples/pylab_examples/findobj_demo.py
+++ b/galleries/examples/misc/findobj_demo.py
@@ -1,8 +1,13 @@
 """
+============
+Findobj Demo
+============
+
 Recursively find all objects that match some criteria
 """
-import numpy as np
 import matplotlib.pyplot as plt
+import numpy as np
+
 import matplotlib.text as text
 
 a = np.arange(0, 3, .02)
@@ -25,6 +30,7 @@
 def myfunc(x):
     return hasattr(x, 'set_color') and not hasattr(x, 'set_facecolor')
 
+
 for o in fig.findobj(myfunc):
     o.set_color('blue')
 
diff --git a/galleries/examples/misc/font_indexing.py b/galleries/examples/misc/font_indexing.py
new file mode 100644
index 000000000000..31388737bcae
--- /dev/null
+++ b/galleries/examples/misc/font_indexing.py
@@ -0,0 +1,36 @@
+"""
+=============
+Font indexing
+=============
+
+This example shows how the font tables relate to one another.
+"""
+
+import os
+
+import matplotlib
+from matplotlib.ft2font import FT2Font, Kerning
+
+font = FT2Font(
+    os.path.join(matplotlib.get_data_path(), 'fonts/ttf/DejaVuSans.ttf'))
+font.set_charmap(0)
+
+codes = font.get_charmap().items()
+
+# make a charname to charcode and glyphind dictionary
+coded = {}
+glyphd = {}
+for ccode, glyphind in codes:
+    name = font.get_glyph_name(glyphind)
+    coded[name] = ccode
+    glyphd[name] = glyphind
+    # print(glyphind, ccode, hex(int(ccode)), name)
+
+code = coded['A']
+glyph = font.load_char(code)
+print(glyph.bbox)
+print(glyphd['A'], glyphd['V'], coded['A'], coded['V'])
+print('AV', font.get_kerning(glyphd['A'], glyphd['V'], Kerning.DEFAULT))
+print('AV', font.get_kerning(glyphd['A'], glyphd['V'], Kerning.UNFITTED))
+print('AV', font.get_kerning(glyphd['A'], glyphd['V'], Kerning.UNSCALED))
+print('AT', font.get_kerning(glyphd['A'], glyphd['T'], Kerning.UNSCALED))
diff --git a/galleries/examples/misc/ftface_props.py b/galleries/examples/misc/ftface_props.py
new file mode 100644
index 000000000000..ec26dff5bf6a
--- /dev/null
+++ b/galleries/examples/misc/ftface_props.py
@@ -0,0 +1,56 @@
+"""
+===============
+Font properties
+===============
+
+This example lists the attributes of an `.FT2Font` object, which describe
+global font properties.  For individual character metrics, use the `.Glyph`
+object, as returned by `.load_char`.
+"""
+
+import os
+
+import matplotlib
+import matplotlib.ft2font as ft
+
+font = ft.FT2Font(
+    # Use a font shipped with Matplotlib.
+    os.path.join(matplotlib.get_data_path(),
+                 'fonts/ttf/DejaVuSans-Oblique.ttf'))
+
+print('Num instances:  ', font.num_named_instances)  # number of named instances in file
+print('Num faces:      ', font.num_faces)            # number of faces in file
+print('Num glyphs:     ', font.num_glyphs)           # number of glyphs in the face
+print('Family name:    ', font.family_name)          # face family name
+print('Style name:     ', font.style_name)           # face style name
+print('PS name:        ', font.postscript_name)      # the postscript name
+print('Num fixed:      ', font.num_fixed_sizes)      # number of embedded bitmaps
+
+# the following are only available if face.scalable
+if font.scalable:
+    # the face global bounding box (xmin, ymin, xmax, ymax)
+    print('Bbox:               ', font.bbox)
+    # number of font units covered by the EM
+    print('EM:                 ', font.units_per_EM)
+    # the ascender in 26.6 units
+    print('Ascender:           ', font.ascender)
+    # the descender in 26.6 units
+    print('Descender:          ', font.descender)
+    # the height in 26.6 units
+    print('Height:             ', font.height)
+    # maximum horizontal cursor advance
+    print('Max adv width:      ', font.max_advance_width)
+    # same for vertical layout
+    print('Max adv height:     ', font.max_advance_height)
+    # vertical position of the underline bar
+    print('Underline pos:      ', font.underline_position)
+    # vertical thickness of the underline
+    print('Underline thickness:', font.underline_thickness)
+
+for flag in ft.StyleFlags:
+    name = flag.name.replace('_', ' ').title() + ':'
+    print(f"{name:17}", flag in font.style_flags)
+
+for flag in ft.FaceFlags:
+    name = flag.name.replace('_', ' ').title() + ':'
+    print(f"{name:17}", flag in font.face_flags)
diff --git a/galleries/examples/misc/histogram_path.py b/galleries/examples/misc/histogram_path.py
new file mode 100644
index 000000000000..d35e291aa8ce
--- /dev/null
+++ b/galleries/examples/misc/histogram_path.py
@@ -0,0 +1,100 @@
+"""
+========================================================
+Building histograms using Rectangles and PolyCollections
+========================================================
+
+Using a path patch to draw rectangles.
+
+The technique of using lots of `.Rectangle` instances, or the faster method of
+using `.PolyCollection`, were implemented before we had proper paths with
+moveto, lineto, closepoly, etc. in Matplotlib.  Now that we have them, we can
+draw collections of regularly shaped objects with homogeneous properties more
+efficiently with a PathCollection. This example makes a histogram -- it's more
+work to set up the vertex arrays at the outset, but it should be much faster
+for large numbers of objects.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as patches
+import matplotlib.path as path
+
+np.random.seed(19680801)  # Fixing random state for reproducibility
+
+# histogram our data with numpy
+data = np.random.randn(1000)
+n, bins = np.histogram(data, 50)
+
+# get the corners of the rectangles for the histogram
+left = bins[:-1]
+right = bins[1:]
+bottom = np.zeros(len(left))
+top = bottom + n
+
+# we need a (numrects x numsides x 2) numpy array for the path helper
+# function to build a compound path
+XY = np.array([[left, left, right, right], [bottom, top, top, bottom]]).T
+
+# get the Path object
+barpath = path.Path.make_compound_path_from_polys(XY)
+
+# make a patch out of it, don't add a margin at y=0
+patch = patches.PathPatch(barpath)
+patch.sticky_edges.y[:] = [0]
+
+fig, ax = plt.subplots()
+ax.add_patch(patch)
+ax.autoscale_view()
+plt.show()
+
+# %%
+# Instead of creating a three-dimensional array and using
+# `~.path.Path.make_compound_path_from_polys`, we could as well create the
+# compound path directly using vertices and codes as shown below
+
+nrects = len(left)
+nverts = nrects*(1+3+1)
+verts = np.zeros((nverts, 2))
+codes = np.ones(nverts, int) * path.Path.LINETO
+codes[0::5] = path.Path.MOVETO
+codes[4::5] = path.Path.CLOSEPOLY
+verts[0::5, 0] = left
+verts[0::5, 1] = bottom
+verts[1::5, 0] = left
+verts[1::5, 1] = top
+verts[2::5, 0] = right
+verts[2::5, 1] = top
+verts[3::5, 0] = right
+verts[3::5, 1] = bottom
+
+barpath = path.Path(verts, codes)
+
+# make a patch out of it, don't add a margin at y=0
+patch = patches.PathPatch(barpath)
+patch.sticky_edges.y[:] = [0]
+
+fig, ax = plt.subplots()
+ax.add_patch(patch)
+ax.autoscale_view()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.path.Path.make_compound_path_from_polys`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.collections.PathCollection`
+#
+#    This example shows an alternative to
+#
+#    - `matplotlib.collections.PolyCollection`
+#    - `matplotlib.axes.Axes.hist`
diff --git a/galleries/examples/misc/hyperlinks_sgskip.py b/galleries/examples/misc/hyperlinks_sgskip.py
new file mode 100644
index 000000000000..26421c941573
--- /dev/null
+++ b/galleries/examples/misc/hyperlinks_sgskip.py
@@ -0,0 +1,37 @@
+"""
+==========
+Hyperlinks
+==========
+
+This example demonstrates how to set a hyperlinks on various kinds of elements.
+
+This currently only works with the SVG backend.
+
+"""
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+
+fig = plt.figure()
+s = plt.scatter([1, 2, 3], [4, 5, 6])
+s.set_urls(['https://www.bbc.com/news', 'https://www.google.com/', None])
+fig.savefig('scatter.svg')
+
+# %%
+
+fig = plt.figure()
+delta = 0.025
+x = y = np.arange(-3.0, 3.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+im = plt.imshow(Z, interpolation='bilinear', cmap="gray",
+                origin='lower', extent=(-3, 3, -3, 3))
+
+im.set_url('https://www.google.com/')
+fig.savefig('image.svg')
diff --git a/galleries/examples/misc/image_thumbnail_sgskip.py b/galleries/examples/misc/image_thumbnail_sgskip.py
new file mode 100644
index 000000000000..e361d3bf53ab
--- /dev/null
+++ b/galleries/examples/misc/image_thumbnail_sgskip.py
@@ -0,0 +1,32 @@
+"""
+===============
+Image thumbnail
+===============
+
+You can use Matplotlib to generate thumbnails from existing images.
+Matplotlib relies on Pillow_ for reading images, and thus supports all formats
+supported by Pillow.
+
+.. _Pillow: https://python-pillow.github.io
+"""
+
+from argparse import ArgumentParser
+from pathlib import Path
+import sys
+
+import matplotlib.image as image
+
+parser = ArgumentParser(
+    description="Build thumbnails of all images in a directory.")
+parser.add_argument("imagedir", type=Path)
+args = parser.parse_args()
+if not args.imagedir.is_dir():
+    sys.exit(f"Could not find input directory {args.imagedir}")
+
+outdir = Path("thumbs")
+outdir.mkdir(parents=True, exist_ok=True)
+
+for path in args.imagedir.glob("*.png"):
+    outpath = outdir / path.name
+    fig = image.thumbnail(path, outpath, scale=0.15)
+    print(f"saved thumbnail of {path} to {outpath}")
diff --git a/galleries/examples/misc/keyword_plotting.py b/galleries/examples/misc/keyword_plotting.py
new file mode 100644
index 000000000000..e8a2d944fe0d
--- /dev/null
+++ b/galleries/examples/misc/keyword_plotting.py
@@ -0,0 +1,30 @@
+"""
+======================
+Plotting with keywords
+======================
+
+Some data structures, like dict, `structured numpy array
+<https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays>`_
+or `pandas.DataFrame` provide access to labelled data via string index access
+``data[key]``.
+
+For these data types, Matplotlib supports passing the whole datastructure via the
+``data`` keyword argument, and using the string names as plot function parameters,
+where you'd normally pass in your data.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+data = {'a': np.arange(50),
+        'c': np.random.randint(0, 50, 50),
+        'd': np.random.randn(50)}
+data['b'] = data['a'] + 10 * np.random.randn(50)
+data['d'] = np.abs(data['d']) * 100
+
+fig, ax = plt.subplots()
+ax.scatter('a', 'b', c='c', s='d', data=data)
+ax.set(xlabel='entry a', ylabel='entry b')
+plt.show()
diff --git a/galleries/examples/misc/logos2.py b/galleries/examples/misc/logos2.py
new file mode 100644
index 000000000000..aca348474e7b
--- /dev/null
+++ b/galleries/examples/misc/logos2.py
@@ -0,0 +1,158 @@
+"""
+===============
+Matplotlib logo
+===============
+
+This example generates the current matplotlib logo.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cm as cm
+import matplotlib.font_manager
+from matplotlib.patches import PathPatch, Rectangle
+from matplotlib.text import TextPath
+import matplotlib.transforms as mtrans
+
+MPL_BLUE = '#11557c'
+
+
+def get_font_properties():
+    # The original font is Calibri, if that is not installed, we fall back
+    # to Carlito, which is metrically equivalent.
+    if 'Calibri' in matplotlib.font_manager.findfont('Calibri:bold'):
+        return matplotlib.font_manager.FontProperties(family='Calibri',
+                                                      weight='bold')
+    if 'Carlito' in matplotlib.font_manager.findfont('Carlito:bold'):
+        print('Original font not found. Falling back to Carlito. '
+              'The logo text will not be in the correct font.')
+        return matplotlib.font_manager.FontProperties(family='Carlito',
+                                                      weight='bold')
+    print('Original font not found. '
+          'The logo text will not be in the correct font.')
+    return None
+
+
+def create_icon_axes(fig, ax_position, lw_bars, lw_grid, lw_border, rgrid):
+    """
+    Create a polar Axes containing the matplotlib radar plot.
+
+    Parameters
+    ----------
+    fig : matplotlib.figure.Figure
+        The figure to draw into.
+    ax_position : (float, float, float, float)
+        The position of the created Axes in figure coordinates as
+        (x, y, width, height).
+    lw_bars : float
+        The linewidth of the bars.
+    lw_grid : float
+        The linewidth of the grid.
+    lw_border : float
+        The linewidth of the Axes border.
+    rgrid : array-like
+        Positions of the radial grid.
+
+    Returns
+    -------
+    ax : matplotlib.axes.Axes
+        The created Axes.
+    """
+    with plt.rc_context({'axes.edgecolor': MPL_BLUE,
+                         'axes.linewidth': lw_border}):
+        ax = fig.add_axes(ax_position, projection='polar')
+        ax.set_axisbelow(True)
+
+        N = 7
+        arc = 2. * np.pi
+        theta = np.arange(0.0, arc, arc / N)
+        radii = np.array([2, 6, 8, 7, 4, 5, 8])
+        width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
+        bars = ax.bar(theta, radii, width=width, bottom=0.0, align='edge',
+                      edgecolor='0.3', lw=lw_bars)
+        for r, bar in zip(radii, bars):
+            color = *cm.jet(r / 10.)[:3], 0.6  # color from jet with alpha=0.6
+            bar.set_facecolor(color)
+
+        ax.tick_params(labelbottom=False, labeltop=False,
+                       labelleft=False, labelright=False)
+
+        ax.grid(lw=lw_grid, color='0.9')
+        ax.set_rmax(9)
+        ax.set_yticks(rgrid)
+
+        # the actual visible background - extends a bit beyond the axis
+        ax.add_patch(Rectangle((0, 0), arc, 9.58,
+                               facecolor='white', zorder=0,
+                               clip_on=False, in_layout=False))
+        return ax
+
+
+def create_text_axes(fig, height_px):
+    """Create an Axes in *fig* that contains 'matplotlib' as Text."""
+    ax = fig.add_axes((0, 0, 1, 1))
+    ax.set_aspect("equal")
+    ax.set_axis_off()
+
+    path = TextPath((0, 0), "matplotlib", size=height_px * 0.8,
+                    prop=get_font_properties())
+
+    angle = 4.25  # degrees
+    trans = mtrans.Affine2D().skew_deg(angle, 0)
+
+    patch = PathPatch(path, transform=trans + ax.transData, color=MPL_BLUE,
+                      lw=0)
+    ax.add_patch(patch)
+    ax.autoscale()
+
+
+def make_logo(height_px, lw_bars, lw_grid, lw_border, rgrid, with_text=False):
+    """
+    Create a full figure with the Matplotlib logo.
+
+    Parameters
+    ----------
+    height_px : int
+        Height of the figure in pixel.
+    lw_bars : float
+        The linewidth of the bar border.
+    lw_grid : float
+        The linewidth of the grid.
+    lw_border : float
+        The linewidth of icon border.
+    rgrid : sequence of float
+        The radial grid positions.
+    with_text : bool
+        Whether to draw only the icon or to include 'matplotlib' as text.
+    """
+    dpi = 100
+    height = height_px / dpi
+    figsize = (5 * height, height) if with_text else (height, height)
+    fig = plt.figure(figsize=figsize, dpi=dpi)
+    fig.patch.set_alpha(0)
+
+    if with_text:
+        create_text_axes(fig, height_px)
+    ax_pos = (0.535, 0.12, .17, 0.75) if with_text else (0.03, 0.03, .94, .94)
+    ax = create_icon_axes(fig, ax_pos, lw_bars, lw_grid, lw_border, rgrid)
+
+    return fig, ax
+
+# %%
+# A large logo:
+
+make_logo(height_px=110, lw_bars=0.7, lw_grid=0.5, lw_border=1,
+          rgrid=[1, 3, 5, 7])
+
+# %%
+# A small 32px logo:
+
+make_logo(height_px=32, lw_bars=0.3, lw_grid=0.3, lw_border=0.3, rgrid=[5])
+
+# %%
+# A large logo including text, as used on the matplotlib website.
+
+make_logo(height_px=110, lw_bars=0.7, lw_grid=0.5, lw_border=1,
+          rgrid=[1, 3, 5, 7], with_text=True)
+plt.show()
diff --git a/galleries/examples/misc/multipage_pdf.py b/galleries/examples/misc/multipage_pdf.py
new file mode 100644
index 000000000000..e04cd0431f87
--- /dev/null
+++ b/galleries/examples/misc/multipage_pdf.py
@@ -0,0 +1,52 @@
+"""
+=============
+Multipage PDF
+=============
+
+This is a demo of creating a pdf file with several pages,
+as well as adding metadata and annotations to pdf files.
+
+"""
+
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.backends.backend_pdf import PdfPages
+
+# Create the PdfPages object to which we will save the pages:
+# The with statement makes sure that the PdfPages object is closed properly at
+# the end of the block, even if an Exception occurs.
+with PdfPages('multipage_pdf.pdf') as pdf:
+    plt.figure(figsize=(3, 3))
+    plt.plot(range(7), [3, 1, 4, 1, 5, 9, 2], 'r-o')
+    plt.title('Page One')
+    pdf.savefig()  # saves the current figure into a pdf page
+    plt.close()
+
+    # if LaTeX is not installed or error caught, change to `False`
+    plt.rcParams['text.usetex'] = True
+    plt.figure(figsize=(8, 6))
+    x = np.arange(0, 5, 0.1)
+    plt.plot(x, np.sin(x), 'b-')
+    plt.title('Page Two')
+    pdf.attach_note("plot of sin(x)")  # attach metadata (as pdf note) to page
+    pdf.savefig()
+    plt.close()
+
+    plt.rcParams['text.usetex'] = False
+    fig = plt.figure(figsize=(4, 5))
+    plt.plot(x, x ** 2, 'ko')
+    plt.title('Page Three')
+    pdf.savefig(fig)  # or you can pass a Figure object to pdf.savefig
+    plt.close()
+
+    # We can also set the file's metadata via the PdfPages object:
+    d = pdf.infodict()
+    d['Title'] = 'Multipage PDF Example'
+    d['Author'] = 'Jouni K. Sepp\xe4nen'
+    d['Subject'] = 'How to create a multipage pdf file and set its metadata'
+    d['Keywords'] = 'PdfPages multipage keywords author title subject'
+    d['CreationDate'] = datetime.datetime(2009, 11, 13)
+    d['ModDate'] = datetime.datetime.today()
diff --git a/galleries/examples/misc/multiprocess_sgskip.py b/galleries/examples/misc/multiprocess_sgskip.py
new file mode 100644
index 000000000000..5951dab1b895
--- /dev/null
+++ b/galleries/examples/misc/multiprocess_sgskip.py
@@ -0,0 +1,106 @@
+"""
+===============
+Multiprocessing
+===============
+
+Demo of using multiprocessing for generating data in one process and
+plotting in another.
+
+Written by Robert Cimrman
+"""
+
+import multiprocessing as mp
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# %%
+#
+# Processing Class
+# ================
+#
+# This class plots data it receives from a pipe.
+#
+
+
+class ProcessPlotter:
+    def __init__(self):
+        self.x = []
+        self.y = []
+
+    def terminate(self):
+        plt.close('all')
+
+    def call_back(self):
+        while self.pipe.poll():
+            command = self.pipe.recv()
+            if command is None:
+                self.terminate()
+                return False
+            else:
+                self.x.append(command[0])
+                self.y.append(command[1])
+                self.ax.plot(self.x, self.y, 'ro')
+        self.fig.canvas.draw()
+        return True
+
+    def __call__(self, pipe):
+        print('starting plotter...')
+
+        self.pipe = pipe
+        self.fig, self.ax = plt.subplots()
+        timer = self.fig.canvas.new_timer(interval=1000)
+        timer.add_callback(self.call_back)
+        timer.start()
+
+        print('...done')
+        plt.show()
+
+# %%
+#
+# Plotting class
+# ==============
+#
+# This class uses multiprocessing to spawn a process to run code from the
+# class above. When initialized, it creates a pipe and an instance of
+# ``ProcessPlotter`` which will be run in a separate process.
+#
+# When run from the command line, the parent process sends data to the spawned
+# process which is then plotted via the callback function specified in
+# ``ProcessPlotter:__call__``.
+#
+
+
+class NBPlot:
+    def __init__(self):
+        self.plot_pipe, plotter_pipe = mp.Pipe()
+        self.plotter = ProcessPlotter()
+        self.plot_process = mp.Process(
+            target=self.plotter, args=(plotter_pipe,), daemon=True)
+        self.plot_process.start()
+
+    def plot(self, finished=False):
+        send = self.plot_pipe.send
+        if finished:
+            send(None)
+        else:
+            data = np.random.random(2)
+            send(data)
+
+
+def main():
+    pl = NBPlot()
+    for _ in range(10):
+        pl.plot()
+        time.sleep(0.5)
+    pl.plot(finished=True)
+
+
+if __name__ == '__main__':
+    if plt.get_backend() == "MacOSX":
+        mp.set_start_method("forkserver")
+    main()
diff --git a/galleries/examples/misc/packed_bubbles.py b/galleries/examples/misc/packed_bubbles.py
new file mode 100644
index 000000000000..b1f9448e4c81
--- /dev/null
+++ b/galleries/examples/misc/packed_bubbles.py
@@ -0,0 +1,170 @@
+"""
+===================
+Packed-bubble chart
+===================
+
+Create a packed-bubble chart to represent scalar data.
+The presented algorithm tries to move all bubbles as close to the center of
+mass as possible while avoiding some collisions by moving around colliding
+objects. In this example we plot the market share of different desktop
+browsers.
+(source: https://gs.statcounter.com/browser-market-share/desktop/worldwidev)
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+browser_market_share = {
+    'browsers': ['firefox', 'chrome', 'safari', 'edge', 'ie', 'opera'],
+    'market_share': [8.61, 69.55, 8.36, 4.12, 2.76, 2.43],
+    'color': ['#5A69AF', '#579E65', '#F9C784', '#FC944A', '#F24C00', '#00B825']
+}
+
+
+class BubbleChart:
+    def __init__(self, area, bubble_spacing=0):
+        """
+        Setup for bubble collapse.
+
+        Parameters
+        ----------
+        area : array-like
+            Area of the bubbles.
+        bubble_spacing : float, default: 0
+            Minimal spacing between bubbles after collapsing.
+
+        Notes
+        -----
+        If "area" is sorted, the results might look weird.
+        """
+        area = np.asarray(area)
+        r = np.sqrt(area / np.pi)
+
+        self.bubble_spacing = bubble_spacing
+        self.bubbles = np.ones((len(area), 4))
+        self.bubbles[:, 2] = r
+        self.bubbles[:, 3] = area
+        self.maxstep = 2 * self.bubbles[:, 2].max() + self.bubble_spacing
+        self.step_dist = self.maxstep / 2
+
+        # calculate initial grid layout for bubbles
+        length = np.ceil(np.sqrt(len(self.bubbles)))
+        grid = np.arange(length) * self.maxstep
+        gx, gy = np.meshgrid(grid, grid)
+        self.bubbles[:, 0] = gx.flatten()[:len(self.bubbles)]
+        self.bubbles[:, 1] = gy.flatten()[:len(self.bubbles)]
+
+        self.com = self.center_of_mass()
+
+    def center_of_mass(self):
+        return np.average(
+            self.bubbles[:, :2], axis=0, weights=self.bubbles[:, 3]
+        )
+
+    def center_distance(self, bubble, bubbles):
+        return np.hypot(bubble[0] - bubbles[:, 0],
+                        bubble[1] - bubbles[:, 1])
+
+    def outline_distance(self, bubble, bubbles):
+        center_distance = self.center_distance(bubble, bubbles)
+        return center_distance - bubble[2] - \
+            bubbles[:, 2] - self.bubble_spacing
+
+    def check_collisions(self, bubble, bubbles):
+        distance = self.outline_distance(bubble, bubbles)
+        return len(distance[distance < 0])
+
+    def collides_with(self, bubble, bubbles):
+        distance = self.outline_distance(bubble, bubbles)
+        return np.argmin(distance, keepdims=True)
+
+    def collapse(self, n_iterations=50):
+        """
+        Move bubbles to the center of mass.
+
+        Parameters
+        ----------
+        n_iterations : int, default: 50
+            Number of moves to perform.
+        """
+        for _i in range(n_iterations):
+            moves = 0
+            for i in range(len(self.bubbles)):
+                rest_bub = np.delete(self.bubbles, i, 0)
+                # try to move directly towards the center of mass
+                # direction vector from bubble to the center of mass
+                dir_vec = self.com - self.bubbles[i, :2]
+
+                # shorten direction vector to have length of 1
+                dir_vec = dir_vec / np.sqrt(dir_vec.dot(dir_vec))
+
+                # calculate new bubble position
+                new_point = self.bubbles[i, :2] + dir_vec * self.step_dist
+                new_bubble = np.append(new_point, self.bubbles[i, 2:4])
+
+                # check whether new bubble collides with other bubbles
+                if not self.check_collisions(new_bubble, rest_bub):
+                    self.bubbles[i, :] = new_bubble
+                    self.com = self.center_of_mass()
+                    moves += 1
+                else:
+                    # try to move around a bubble that you collide with
+                    # find colliding bubble
+                    for colliding in self.collides_with(new_bubble, rest_bub):
+                        # calculate direction vector
+                        dir_vec = rest_bub[colliding, :2] - self.bubbles[i, :2]
+                        dir_vec = dir_vec / np.sqrt(dir_vec.dot(dir_vec))
+                        # calculate orthogonal vector
+                        orth = np.array([dir_vec[1], -dir_vec[0]])
+                        # test which direction to go
+                        new_point1 = (self.bubbles[i, :2] + orth *
+                                      self.step_dist)
+                        new_point2 = (self.bubbles[i, :2] - orth *
+                                      self.step_dist)
+                        dist1 = self.center_distance(
+                            self.com, np.array([new_point1]))
+                        dist2 = self.center_distance(
+                            self.com, np.array([new_point2]))
+                        new_point = new_point1 if dist1 < dist2 else new_point2
+                        new_bubble = np.append(new_point, self.bubbles[i, 2:4])
+                        if not self.check_collisions(new_bubble, rest_bub):
+                            self.bubbles[i, :] = new_bubble
+                            self.com = self.center_of_mass()
+
+            if moves / len(self.bubbles) < 0.1:
+                self.step_dist = self.step_dist / 2
+
+    def plot(self, ax, labels, colors):
+        """
+        Draw the bubble plot.
+
+        Parameters
+        ----------
+        ax : matplotlib.axes.Axes
+        labels : list
+            Labels of the bubbles.
+        colors : list
+            Colors of the bubbles.
+        """
+        for i in range(len(self.bubbles)):
+            circ = plt.Circle(
+                self.bubbles[i, :2], self.bubbles[i, 2], color=colors[i])
+            ax.add_patch(circ)
+            ax.text(*self.bubbles[i, :2], labels[i],
+                    horizontalalignment='center', verticalalignment='center')
+
+
+bubble_chart = BubbleChart(area=browser_market_share['market_share'],
+                           bubble_spacing=0.1)
+
+bubble_chart.collapse()
+
+fig, ax = plt.subplots(subplot_kw=dict(aspect="equal"))
+bubble_chart.plot(
+    ax, browser_market_share['browsers'], browser_market_share['color'])
+ax.axis("off")
+ax.relim()
+ax.autoscale_view()
+ax.set_title('Browser market share')
+
+plt.show()
diff --git a/galleries/examples/misc/patheffect_demo.py b/galleries/examples/misc/patheffect_demo.py
new file mode 100644
index 000000000000..aa424959cbff
--- /dev/null
+++ b/galleries/examples/misc/patheffect_demo.py
@@ -0,0 +1,43 @@
+"""
+===============
+Patheffect Demo
+===============
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import patheffects
+
+fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(8, 3))
+ax1.imshow([[1, 2], [2, 3]])
+txt = ax1.annotate("test", (1., 1.), (0., 0),
+                   arrowprops=dict(arrowstyle="->",
+                                   connectionstyle="angle3", lw=2),
+                   size=20, ha="center",
+                   path_effects=[patheffects.withStroke(linewidth=3,
+                                                        foreground="w")])
+txt.arrow_patch.set_path_effects([
+    patheffects.Stroke(linewidth=5, foreground="w"),
+    patheffects.Normal()])
+
+pe = [patheffects.withStroke(linewidth=3,
+                             foreground="w")]
+ax1.grid(True, linestyle="-", path_effects=pe)
+
+arr = np.arange(25).reshape((5, 5))
+ax2.imshow(arr)
+cntr = ax2.contour(arr, colors="k")
+
+cntr.set(path_effects=[patheffects.withStroke(linewidth=3, foreground="w")])
+
+clbls = ax2.clabel(cntr, fmt="%2.0f", use_clabeltext=True)
+plt.setp(clbls, path_effects=[
+    patheffects.withStroke(linewidth=3, foreground="w")])
+
+# shadow as a path effect
+p1, = ax3.plot([0, 1], [0, 1])
+leg = ax3.legend([p1], ["Line 1"], fancybox=True, loc='upper left')
+leg.legendPatch.set_path_effects([patheffects.withSimplePatchShadow()])
+
+plt.show()
diff --git a/galleries/examples/misc/print_stdout_sgskip.py b/galleries/examples/misc/print_stdout_sgskip.py
new file mode 100644
index 000000000000..9c9848a73d9c
--- /dev/null
+++ b/galleries/examples/misc/print_stdout_sgskip.py
@@ -0,0 +1,20 @@
+"""
+=====================
+Print image to stdout
+=====================
+
+print png to standard out
+
+usage: python print_stdout.py > somefile.png
+
+"""
+
+import sys
+
+import matplotlib
+
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+
+plt.plot([1, 2, 3])
+plt.savefig(sys.stdout.buffer)
diff --git a/galleries/examples/misc/rasterization_demo.py b/galleries/examples/misc/rasterization_demo.py
new file mode 100644
index 000000000000..ce0cf02dfac2
--- /dev/null
+++ b/galleries/examples/misc/rasterization_demo.py
@@ -0,0 +1,94 @@
+"""
+=================================
+Rasterization for vector graphics
+=================================
+
+Rasterization converts vector graphics into a raster image (pixels). It can
+speed up rendering and produce smaller files for large data sets, but comes
+at the cost of a fixed resolution.
+
+Whether rasterization should be used can be specified per artist.  This can be
+useful to reduce the file size of large artists, while maintaining the
+advantages of vector graphics for other artists such as the Axes
+and text.  For instance a complicated `~.Axes.pcolormesh` or
+`~.Axes.contourf` can be made significantly simpler by rasterizing.
+Setting rasterization only affects vector backends such as PDF, SVG, or PS.
+
+Rasterization is disabled by default. There are two ways to enable it, which
+can also be combined:
+
+- Set `~.Artist.set_rasterized` on individual artists, or use the keyword
+  argument *rasterized* when creating the artist.
+- Set `.Axes.set_rasterization_zorder` to rasterize all artists with a zorder
+  less than the given value.
+
+The storage size and the resolution of the rasterized artist is determined by
+its physical size and the value of the ``dpi`` parameter passed to
+`~.Figure.savefig`.
+
+.. note::
+
+    The image of this example shown in the HTML documentation is not a vector
+    graphic. Therefore, it cannot illustrate the rasterization effect. Please
+    run this example locally and check the generated graphics files.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+d = np.arange(100).reshape(10, 10)  # the values to be color-mapped
+x, y = np.meshgrid(np.arange(11), np.arange(11))
+
+theta = 0.25*np.pi
+xx = x*np.cos(theta) - y*np.sin(theta)  # rotate x by -theta
+yy = x*np.sin(theta) + y*np.cos(theta)  # rotate y by -theta
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, layout="constrained")
+
+# pcolormesh without rasterization
+ax1.set_aspect(1)
+ax1.pcolormesh(xx, yy, d)
+ax1.set_title("No Rasterization")
+
+# pcolormesh with rasterization; enabled by keyword argument
+ax2.set_aspect(1)
+ax2.set_title("Rasterization")
+ax2.pcolormesh(xx, yy, d, rasterized=True)
+
+# pcolormesh with an overlaid text without rasterization
+ax3.set_aspect(1)
+ax3.pcolormesh(xx, yy, d)
+ax3.text(0.5, 0.5, "Text", alpha=0.2,
+         va="center", ha="center", size=50, transform=ax3.transAxes)
+ax3.set_title("No Rasterization")
+
+# pcolormesh with an overlaid text without rasterization; enabled by zorder.
+# Setting the rasterization zorder threshold to 0 and a negative zorder on the
+# pcolormesh rasterizes it. All artists have a non-negative zorder by default,
+# so they (e.g. the text here) are not affected.
+ax4.set_aspect(1)
+m = ax4.pcolormesh(xx, yy, d, zorder=-10)
+ax4.text(0.5, 0.5, "Text", alpha=0.2,
+         va="center", ha="center", size=50, transform=ax4.transAxes)
+ax4.set_rasterization_zorder(0)
+ax4.set_title("Rasterization z$<-10$")
+
+# Save files in pdf and eps format
+plt.savefig("test_rasterization.pdf", dpi=150)
+plt.savefig("test_rasterization.eps", dpi=150)
+
+if not plt.rcParams["text.usetex"]:
+    plt.savefig("test_rasterization.svg", dpi=150)
+    # svg backend currently ignores the dpi
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.artist.Artist.set_rasterized`
+#    - `matplotlib.axes.Axes.set_rasterization_zorder`
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
diff --git a/galleries/examples/misc/set_and_get.py b/galleries/examples/misc/set_and_get.py
new file mode 100644
index 000000000000..453f32276cb1
--- /dev/null
+++ b/galleries/examples/misc/set_and_get.py
@@ -0,0 +1,101 @@
+"""
+======================
+Set and get properties
+======================
+
+The pyplot interface allows you to use ``setp`` and ``getp`` to
+set and get object properties respectively, as well as to do
+introspection on the object.
+
+Setting with ``setp``
+=====================
+
+To set the linestyle of a line to be dashed, you use ``setp``::
+
+  >>> line, = plt.plot([1, 2, 3])
+  >>> plt.setp(line, linestyle='--')
+
+If you want to know the valid types of arguments, you can provide the
+name of the property you want to set without a value::
+
+  >>> plt.setp(line, 'linestyle')
+      linestyle: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+
+If you want to see all the properties that can be set, and their
+possible values, you can do::
+
+    >>> plt.setp(line)
+
+``setp`` operates on a single instance or a list of instances.  If you
+are in query mode introspecting the possible values, only the first
+instance in the sequence is used.  When actually setting values, all
+the instances will be set.  For example, suppose you have a list of
+two lines, the following will make both lines thicker and red::
+
+    >>> x = np.arange(0, 1, 0.01)
+    >>> y1 = np.sin(2*np.pi*x)
+    >>> y2 = np.sin(4*np.pi*x)
+    >>> lines = plt.plot(x, y1, x, y2)
+    >>> plt.setp(lines, linewidth=2, color='r')
+
+
+Getting with ``getp``
+=====================
+
+``getp`` returns the value of a given attribute.  You can use it to query
+the value of a single attribute::
+
+    >>> plt.getp(line, 'linewidth')
+        0.5
+
+or all the attribute/value pairs::
+
+    >>> plt.getp(line)
+        aa = True
+        alpha = 1.0
+        antialiased = True
+        c = b
+        clip_on = True
+        color = b
+        ... long listing skipped ...
+
+Aliases
+=======
+
+To reduce keystrokes in interactive mode, a number of properties
+have short aliases, e.g., 'lw' for 'linewidth' and 'mec' for
+'markeredgecolor'.  When calling set or get in introspection mode,
+these properties will be listed as 'fullname' or 'aliasname'.
+"""
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(0, 1.0, 0.01)
+y1 = np.sin(2*np.pi*x)
+y2 = np.sin(4*np.pi*x)
+lines = plt.plot(x, y1, x, y2)
+l1, l2 = lines
+plt.setp(lines, linestyle='--')       # set both to dashed
+plt.setp(l1, linewidth=2, color='r')  # line1 is thick and red
+plt.setp(l2, linewidth=1, color='g')  # line2 is thinner and green
+
+
+print('Line setters')
+plt.setp(l1)
+print('Line getters')
+plt.getp(l1)
+
+print('Rectangle setters')
+plt.setp(plt.gca().patch)
+print('Rectangle getters')
+plt.getp(plt.gca().patch)
+
+t = plt.title('Hi mom')
+print('Text setters')
+plt.setp(t)
+print('Text getters')
+plt.getp(t)
+
+plt.show()
diff --git a/galleries/examples/misc/svg_filter_line.py b/galleries/examples/misc/svg_filter_line.py
new file mode 100644
index 000000000000..c6adec093bee
--- /dev/null
+++ b/galleries/examples/misc/svg_filter_line.py
@@ -0,0 +1,86 @@
+"""
+==========================
+Apply SVG filter to a line
+==========================
+
+Demonstrate SVG filtering effects which might be used with Matplotlib.
+
+Note that the filtering effects are only effective if your SVG renderer
+support it.
+"""
+
+import io
+import xml.etree.ElementTree as ET
+
+import matplotlib.pyplot as plt
+
+import matplotlib.transforms as mtransforms
+
+fig1 = plt.figure()
+ax = fig1.add_axes([0.1, 0.1, 0.8, 0.8])
+
+# draw lines
+l1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-",
+              mec="b", lw=5, ms=10, label="Line 1")
+l2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "rs-",
+              mec="r", lw=5, ms=10, label="Line 2")
+
+
+for l in [l1, l2]:
+
+    # draw shadows with same lines with slight offset and gray colors.
+
+    xx = l.get_xdata()
+    yy = l.get_ydata()
+    shadow, = ax.plot(xx, yy)
+    shadow.update_from(l)
+
+    # adjust color
+    shadow.set_color("0.2")
+    # adjust zorder of the shadow lines so that it is drawn below the
+    # original lines
+    shadow.set_zorder(l.get_zorder() - 0.5)
+
+    # offset transform
+    transform = mtransforms.offset_copy(l.get_transform(), fig1,
+                                        x=4.0, y=-6.0, units='points')
+    shadow.set_transform(transform)
+
+    # set the id for a later use
+    shadow.set_gid(l.get_label() + "_shadow")
+
+
+ax.set_xlim(0., 1.)
+ax.set_ylim(0., 1.)
+
+# save the figure as a bytes string in the svg format.
+f = io.BytesIO()
+plt.savefig(f, format="svg")
+
+
+# filter definition for a gaussian blur
+filter_def = """
+  <defs xmlns='http://www.w3.org/2000/svg'
+        xmlns:xlink='http://www.w3.org/1999/xlink'>
+    <filter id='dropshadow' height='1.2' width='1.2'>
+      <feGaussianBlur result='blur' stdDeviation='3'/>
+    </filter>
+  </defs>
+"""
+
+
+# read in the saved svg
+tree, xmlid = ET.XMLID(f.getvalue())
+
+# insert the filter definition in the svg dom tree.
+tree.insert(0, ET.XML(filter_def))
+
+for l in [l1, l2]:
+    # pick up the svg element with given id
+    shadow = xmlid[l.get_label() + "_shadow"]
+    # apply shadow filter
+    shadow.set("filter", 'url(#dropshadow)')
+
+fn = "svg_filter_line.svg"
+print(f"Saving '{fn}'")
+ET.ElementTree(tree).write(fn)
diff --git a/galleries/examples/misc/svg_filter_pie.py b/galleries/examples/misc/svg_filter_pie.py
new file mode 100644
index 000000000000..b823cc9670c9
--- /dev/null
+++ b/galleries/examples/misc/svg_filter_pie.py
@@ -0,0 +1,98 @@
+"""
+==============
+SVG filter pie
+==============
+
+Demonstrate SVG filtering effects which might be used with Matplotlib.
+The pie chart drawing code is borrowed from pie_demo.py
+
+Note that the filtering effects are only effective if your SVG renderer
+support it.
+"""
+
+import io
+import xml.etree.ElementTree as ET
+
+import matplotlib.pyplot as plt
+
+from matplotlib.patches import Shadow
+
+# make a square figure and Axes
+fig = plt.figure(figsize=(6, 6))
+ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
+
+labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
+fracs = [15, 30, 45, 10]
+
+explode = (0, 0.05, 0, 0)
+
+# We want to draw the shadow for each pie, but we will not use "shadow"
+# option as it doesn't save the references to the shadow patches.
+pies = ax.pie(fracs, explode=explode, labels=labels, autopct='%1.1f%%')
+
+for w in pies[0]:
+    # set the id with the label.
+    w.set_gid(w.get_label())
+
+    # we don't want to draw the edge of the pie
+    w.set_edgecolor("none")
+
+for w in pies[0]:
+    # create shadow patch
+    s = Shadow(w, -0.01, -0.01)
+    s.set_gid(w.get_gid() + "_shadow")
+    s.set_zorder(w.get_zorder() - 0.1)
+    ax.add_patch(s)
+
+
+# save
+f = io.BytesIO()
+plt.savefig(f, format="svg")
+
+
+# Filter definition for shadow using a gaussian blur and lighting effect.
+# The lighting filter is copied from http://www.w3.org/TR/SVG/filters.html
+
+# I tested it with Inkscape and Firefox3. "Gaussian blur" is supported
+# in both, but the lighting effect only in Inkscape. Also note
+# that, Inkscape's exporting also may not support it.
+
+filter_def = """
+  <defs xmlns='http://www.w3.org/2000/svg'
+        xmlns:xlink='http://www.w3.org/1999/xlink'>
+    <filter id='dropshadow' height='1.2' width='1.2'>
+      <feGaussianBlur result='blur' stdDeviation='2'/>
+    </filter>
+
+    <filter id='MyFilter' filterUnits='objectBoundingBox'
+            x='0' y='0' width='1' height='1'>
+      <feGaussianBlur in='SourceAlpha' stdDeviation='4%' result='blur'/>
+      <feOffset in='blur' dx='4%' dy='4%' result='offsetBlur'/>
+      <feSpecularLighting in='blur' surfaceScale='5' specularConstant='.75'
+           specularExponent='20' lighting-color='#bbbbbb' result='specOut'>
+        <fePointLight x='-5000%' y='-10000%' z='20000%'/>
+      </feSpecularLighting>
+      <feComposite in='specOut' in2='SourceAlpha'
+                   operator='in' result='specOut'/>
+      <feComposite in='SourceGraphic' in2='specOut' operator='arithmetic'
+    k1='0' k2='1' k3='1' k4='0'/>
+    </filter>
+  </defs>
+"""
+
+
+tree, xmlid = ET.XMLID(f.getvalue())
+
+# insert the filter definition in the svg dom tree.
+tree.insert(0, ET.XML(filter_def))
+
+for i, pie_name in enumerate(labels):
+    pie = xmlid[pie_name]
+    pie.set("filter", 'url(#MyFilter)')
+
+    shadow = xmlid[pie_name + "_shadow"]
+    shadow.set("filter", 'url(#dropshadow)')
+
+fn = "svg_filter_pie.svg"
+print(f"Saving '{fn}'")
+ET.ElementTree(tree).write(fn)
diff --git a/galleries/examples/misc/table_demo.py b/galleries/examples/misc/table_demo.py
new file mode 100644
index 000000000000..47c820bafb28
--- /dev/null
+++ b/galleries/examples/misc/table_demo.py
@@ -0,0 +1,58 @@
+"""
+==========
+Table Demo
+==========
+
+Demo of table function to display a table within a plot.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+data = [[ 66386, 174296,  75131, 577908,  32015],
+        [ 58230, 381139,  78045,  99308, 160454],
+        [ 89135,  80552, 152558, 497981, 603535],
+        [ 78415,  81858, 150656, 193263,  69638],
+        [139361, 331509, 343164, 781380,  52269]]
+
+columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
+rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
+
+values = np.arange(0, 2500, 500)
+value_increment = 1000
+
+# Get some pastel shades for the colors
+colors = plt.colormaps["BuPu"](np.linspace(0, 0.5, len(rows)))
+n_rows = len(data)
+
+index = np.arange(len(columns)) + 0.3
+bar_width = 0.4
+
+# Initialize the vertical-offset for the stacked bar chart.
+y_offset = np.zeros(len(columns))
+
+# Plot bars and create text labels for the table
+cell_text = []
+for row in range(n_rows):
+    plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
+    y_offset = y_offset + data[row]
+    cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
+# Reverse colors and text labels to display the last value at the top.
+colors = colors[::-1]
+cell_text.reverse()
+
+# Add a table at the bottom of the Axes
+the_table = plt.table(cellText=cell_text,
+                      rowLabels=rows,
+                      rowColours=colors,
+                      colLabels=columns,
+                      loc='bottom')
+
+# Adjust layout to make room for the table:
+plt.subplots_adjust(left=0.2, bottom=0.2)
+
+plt.ylabel(f"Loss in ${value_increment}'s")
+plt.yticks(values * value_increment, ['%d' % val for val in values])
+plt.xticks([])
+plt.title('Loss by Disaster')
+
+plt.show()
diff --git a/galleries/examples/misc/tickedstroke_demo.py b/galleries/examples/misc/tickedstroke_demo.py
new file mode 100644
index 000000000000..af32ce169bb6
--- /dev/null
+++ b/galleries/examples/misc/tickedstroke_demo.py
@@ -0,0 +1,119 @@
+"""
+=======================
+TickedStroke patheffect
+=======================
+
+Matplotlib's :mod:`.patheffects` can be used to alter the way paths
+are drawn at a low enough level that they can affect almost anything.
+
+The :ref:`patheffects guide<patheffects_guide>`
+details the use of patheffects.
+
+The `~matplotlib.patheffects.TickedStroke` patheffect illustrated here
+draws a path with a ticked style.  The spacing, length, and angle of
+ticks can be controlled.
+
+See also the :doc:`/gallery/lines_bars_and_markers/lines_with_ticks_demo` example.
+
+See also the :doc:`/gallery/images_contours_and_fields/contours_in_optimization_demo`
+example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# Applying TickedStroke to paths
+# ==============================
+import matplotlib.patches as patches
+from matplotlib.path import Path
+import matplotlib.patheffects as patheffects
+
+fig, ax = plt.subplots(figsize=(6, 6))
+path = Path.unit_circle()
+patch = patches.PathPatch(path, facecolor='none', lw=2, path_effects=[
+    patheffects.withTickedStroke(angle=-90, spacing=10, length=1)])
+
+ax.add_patch(patch)
+ax.axis('equal')
+ax.set_xlim(-2, 2)
+ax.set_ylim(-2, 2)
+
+plt.show()
+
+# %%
+# Applying TickedStroke to lines
+# ==============================
+fig, ax = plt.subplots(figsize=(6, 6))
+ax.plot([0, 1], [0, 1], label="Line",
+        path_effects=[patheffects.withTickedStroke(spacing=7, angle=135)])
+
+nx = 101
+x = np.linspace(0.0, 1.0, nx)
+y = 0.3*np.sin(x*8) + 0.4
+ax.plot(x, y, label="Curve", path_effects=[patheffects.withTickedStroke()])
+
+ax.legend()
+
+plt.show()
+
+# %%
+# Applying TickedStroke to contour plots
+# ======================================
+#
+# Contour plot with objective and constraints.
+# Curves generated by contour to represent a typical constraint in an
+# optimization problem should be plotted with angles between zero and
+# 180 degrees.
+fig, ax = plt.subplots(figsize=(6, 6))
+
+nx = 101
+ny = 105
+
+# Set up survey vectors
+xvec = np.linspace(0.001, 4.0, nx)
+yvec = np.linspace(0.001, 4.0, ny)
+
+# Set up survey matrices.  Design disk loading and gear ratio.
+x1, x2 = np.meshgrid(xvec, yvec)
+
+# Evaluate some stuff to plot
+obj = x1**2 + x2**2 - 2*x1 - 2*x2 + 2
+g1 = -(3*x1 + x2 - 5.5)
+g2 = -(x1 + 2*x2 - 4.5)
+g3 = 0.8 + x1**-3 - x2
+
+cntr = ax.contour(x1, x2, obj, [0.01, 0.1, 0.5, 1, 2, 4, 8, 16],
+                  colors='black')
+ax.clabel(cntr, fmt="%2.1f", use_clabeltext=True)
+
+cg1 = ax.contour(x1, x2, g1, [0], colors='sandybrown')
+cg1.set(path_effects=[patheffects.withTickedStroke(angle=135)])
+
+cg2 = ax.contour(x1, x2, g2, [0], colors='orangered')
+cg2.set(path_effects=[patheffects.withTickedStroke(angle=60, length=2)])
+
+cg3 = ax.contour(x1, x2, g3, [0], colors='mediumblue')
+cg3.set(path_effects=[patheffects.withTickedStroke(spacing=7)])
+
+ax.set_xlim(0, 4)
+ax.set_ylim(0, 4)
+
+plt.show()
+
+# %%
+# Direction/side of the ticks
+# ===========================
+#
+# To change which side of the line the ticks are drawn, change the sign of the angle.
+
+fig, ax = plt.subplots(figsize=(6, 6))
+line_x = line_y = [0, 1]
+ax.plot(line_x, line_y, label="Line",
+        path_effects=[patheffects.withTickedStroke(spacing=7, angle=135)])
+
+ax.plot(line_x, line_y, label="Opposite side",
+        path_effects=[patheffects.withTickedStroke(spacing=7, angle=-135)])
+
+ax.legend()
+plt.show()
diff --git a/galleries/examples/misc/transoffset.py b/galleries/examples/misc/transoffset.py
new file mode 100644
index 000000000000..b3163e8df703
--- /dev/null
+++ b/galleries/examples/misc/transoffset.py
@@ -0,0 +1,57 @@
+"""
+======================
+transforms.offset_copy
+======================
+
+This illustrates the use of `.transforms.offset_copy` to
+make a transform that positions a drawing element such as
+a text string at a specified offset in screen coordinates
+(dots or inches) relative to a location given in any
+coordinates.
+
+Every Artist (Text, Line2D, etc.) has a transform that can be
+set when the Artist is created, such as by the corresponding
+pyplot function.  By default, this is usually the Axes.transData
+transform, going from data units to screen pixels.  We can
+use the `.offset_copy` function to make a modified copy of
+this transform, where the modification consists of an
+offset.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.transforms as mtransforms
+
+xs = np.arange(7)
+ys = xs**2
+
+fig = plt.figure(figsize=(5, 10))
+ax = plt.subplot(2, 1, 1)
+
+# If we want the same offset for each text instance,
+# we only need to make one transform.  To get the
+# transform argument to offset_copy, we need to make the Axes
+# first; the subplot function above is one way to do this.
+trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
+                                       x=0.05, y=0.10, units='inches')
+
+for x, y in zip(xs, ys):
+    plt.plot(x, y, 'ro')
+    plt.text(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)
+
+
+# offset_copy works for polar plots also.
+ax = plt.subplot(2, 1, 2, projection='polar')
+
+trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
+                                       y=6, units='dots')
+
+for x, y in zip(xs, ys):
+    plt.polar(x, y, 'ro')
+    plt.text(x, y, '%d, %d' % (int(x), int(y)),
+             transform=trans_offset,
+             horizontalalignment='center',
+             verticalalignment='bottom')
+
+plt.show()
diff --git a/galleries/examples/misc/zorder_demo.py b/galleries/examples/misc/zorder_demo.py
new file mode 100644
index 000000000000..e077dc56d2d0
--- /dev/null
+++ b/galleries/examples/misc/zorder_demo.py
@@ -0,0 +1,75 @@
+"""
+===========
+Zorder Demo
+===========
+
+The drawing order of artists is determined by their ``zorder`` attribute, which
+is a floating point number. Artists with higher ``zorder`` are drawn on top.
+You can change the order for individual artists by setting their ``zorder``.
+The default value depends on the type of the Artist:
+
+================================================================    =======
+Artist                                                              Z-order
+================================================================    =======
+Images (`.AxesImage`, `.FigureImage`, `.BboxImage`)                 0
+`.Patch`, `.PatchCollection`                                        1
+`.Line2D`, `.LineCollection` (including minor ticks, grid lines)    2
+Major ticks                                                         2.01
+`.Text` (including Axes labels and titles)                          3
+`.Legend`                                                           5
+================================================================    =======
+
+Any call to a plotting method can set a value for the zorder of that particular
+item explicitly.
+
+.. note::
+
+   `~.axes.Axes.set_axisbelow` and :rc:`axes.axisbelow` are convenient helpers
+   for setting the zorder of ticks and grid lines.
+
+Drawing is done per `~.axes.Axes` at a time. If you have overlapping Axes, all
+elements of the second Axes are drawn on top of the first Axes, irrespective of
+their relative zorder.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+r = np.linspace(0.3, 1, 30)
+theta = np.linspace(0, 4*np.pi, 30)
+x = r * np.sin(theta)
+y = r * np.cos(theta)
+
+# %%
+# The following example contains a `.Line2D` created by `~.axes.Axes.plot()`
+# and the dots (a `.PatchCollection`) created by `~.axes.Axes.scatter()`.
+# Hence, by default the dots are below the line (first subplot).
+# In the second subplot, the ``zorder`` is set explicitly to move the dots
+# on top of the line.
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3.2))
+
+ax1.plot(x, y, 'C3', lw=3)
+ax1.scatter(x, y, s=120)
+ax1.set_title('Lines on top of dots')
+
+ax2.plot(x, y, 'C3', lw=3)
+ax2.scatter(x, y, s=120, zorder=2.5)  # move dots on top of line
+ax2.set_title('Dots on top of lines')
+
+plt.tight_layout()
+
+# %%
+# Many functions that create a visible object accepts a ``zorder`` parameter.
+# Alternatively, you can call ``set_zorder()`` on the created object later.
+
+x = np.linspace(0, 7.5, 100)
+plt.rcParams['lines.linewidth'] = 5
+plt.figure()
+plt.plot(x, np.sin(x), label='zorder=2', zorder=2)  # bottom
+plt.plot(x, np.sin(x+0.5), label='zorder=3',  zorder=3)
+plt.axhline(0, label='zorder=2.5', color='lightgrey', zorder=2.5)
+plt.title('Custom order of elements')
+l = plt.legend(loc='upper right')
+l.set_zorder(2.5)  # legend between blue and orange line
+plt.show()
diff --git a/galleries/examples/mplot3d/2dcollections3d.py b/galleries/examples/mplot3d/2dcollections3d.py
new file mode 100644
index 000000000000..ae88776d133e
--- /dev/null
+++ b/galleries/examples/mplot3d/2dcollections3d.py
@@ -0,0 +1,54 @@
+"""
+=======================
+Plot 2D data on 3D plot
+=======================
+
+Demonstrates using ax.plot's *zdir* keyword to plot 2D data on
+selective axes of a 3D plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# Plot a sin curve using the x and y axes.
+x = np.linspace(0, 1, 100)
+y = np.sin(x * 2 * np.pi) / 2 + 0.5
+ax.plot(x, y, zs=0, zdir='z', label='curve in (x, y)')
+
+# Plot scatterplot data (20 2D points per colour) on the x and z axes.
+colors = ('r', 'g', 'b', 'k')
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x = np.random.sample(20 * len(colors))
+y = np.random.sample(20 * len(colors))
+c_list = []
+for c in colors:
+    c_list.extend([c] * 20)
+# By using zdir='y', the y value of these points is fixed to the zs value 0
+# and the (x, y) points are plotted on the x and z axes.
+ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x, z)')
+
+# Make legend, set axes limits and labels
+ax.legend()
+ax.set_xlim(0, 1)
+ax.set_ylim(0, 1)
+ax.set_zlim(0, 1)
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel('Z')
+
+# Customize the view angle so it's easier to see that the scatter points lie
+# on the plane y=0
+ax.view_init(elev=20., azim=-35, roll=0)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: scatter, plot-type: line,
+#    component: axes,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/3d_bars.py b/galleries/examples/mplot3d/3d_bars.py
new file mode 100644
index 000000000000..9d8feeaeb12b
--- /dev/null
+++ b/galleries/examples/mplot3d/3d_bars.py
@@ -0,0 +1,40 @@
+"""
+=====================
+Demo of 3D bar charts
+=====================
+
+A basic demo of how to plot 3D bars with and without shading.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# set up the figure and Axes
+fig = plt.figure(figsize=(8, 3))
+ax1 = fig.add_subplot(121, projection='3d')
+ax2 = fig.add_subplot(122, projection='3d')
+
+# fake data
+_x = np.arange(4)
+_y = np.arange(5)
+_xx, _yy = np.meshgrid(_x, _y)
+x, y = _xx.ravel(), _yy.ravel()
+
+top = x + y
+bottom = np.zeros_like(top)
+width = depth = 1
+
+ax1.bar3d(x, y, bottom, width, depth, top, shade=True)
+ax1.set_title('Shaded')
+
+ax2.bar3d(x, y, bottom, width, depth, top, shade=False)
+ax2.set_title('Not Shaded')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: texture,
+#    plot-type: bar,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/README.txt b/galleries/examples/mplot3d/README.txt
new file mode 100644
index 000000000000..f9832f3ab3a5
--- /dev/null
+++ b/galleries/examples/mplot3d/README.txt
@@ -0,0 +1,6 @@
+.. _mplot3d_example:
+
+.. _mplot3d-examples-index:
+
+3D plotting
+===========
diff --git a/galleries/examples/mplot3d/axlim_clip.py b/galleries/examples/mplot3d/axlim_clip.py
new file mode 100644
index 000000000000..2a29f2bf2431
--- /dev/null
+++ b/galleries/examples/mplot3d/axlim_clip.py
@@ -0,0 +1,40 @@
+"""
+=====================================
+Clip the data to the axes view limits
+=====================================
+
+Demonstrate clipping of line and marker data to the axes view limits. The
+``axlim_clip`` keyword argument can be used in any of the 3D plotting
+functions.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+# Make the data
+x = np.arange(-5, 5, 0.5)
+y = np.arange(-5, 5, 0.5)
+X, Y = np.meshgrid(x, y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+# Default behavior is axlim_clip=False
+ax.plot_wireframe(X, Y, Z, color='C0')
+
+# When axlim_clip=True, note that when a line segment has one vertex outside
+# the view limits, the entire line is hidden. The same is true for 3D patches
+# if one of their vertices is outside the limits (not shown).
+ax.plot_wireframe(X, Y, Z, color='C1', axlim_clip=True)
+
+# In this example, data where x < 0 or z > 0.5 is clipped
+ax.set(xlim=(0, 10), ylim=(-5, 5), zlim=(-1, 0.5))
+ax.legend(['axlim_clip=False (default)', 'axlim_clip=True'])
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/bars3d.py b/galleries/examples/mplot3d/bars3d.py
new file mode 100644
index 000000000000..3ea4a100c2f6
--- /dev/null
+++ b/galleries/examples/mplot3d/bars3d.py
@@ -0,0 +1,48 @@
+"""
+========================================
+Create 2D bar graphs in different planes
+========================================
+
+Demonstrates making a 3D plot which has 2D bar graphs projected onto
+planes y=0, y=1, etc.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+colors = ['r', 'g', 'b', 'y']
+yticks = [3, 2, 1, 0]
+for c, k in zip(colors, yticks):
+    # Generate the random data for the y=k 'layer'.
+    xs = np.arange(20)
+    ys = np.random.rand(20)
+
+    # You can provide either a single color or an array with the same length as
+    # xs and ys. To demonstrate this, we color the first bar of each set cyan.
+    cs = [c] * len(xs)
+    cs[0] = 'c'
+
+    # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
+    ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)
+
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel('Z')
+
+# On the y-axis let's only label the discrete values that we have data for.
+ax.set_yticks(yticks)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: bar,
+#    styling: color,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/box3d.py b/galleries/examples/mplot3d/box3d.py
new file mode 100644
index 000000000000..807e3d496ec6
--- /dev/null
+++ b/galleries/examples/mplot3d/box3d.py
@@ -0,0 +1,83 @@
+"""
+===================
+3D box surface plot
+===================
+
+Given data on a gridded volume ``X``, ``Y``, ``Z``, this example plots the
+data values on the volume surfaces.
+
+The strategy is to select the data from each surface and plot
+contours separately using `.axes3d.Axes3D.contourf` with appropriate
+parameters *zdir* and *offset*.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Define dimensions
+Nx, Ny, Nz = 100, 300, 500
+X, Y, Z = np.meshgrid(np.arange(Nx), np.arange(Ny), -np.arange(Nz))
+
+# Create fake data
+data = (((X+100)**2 + (Y-20)**2 + 2*Z)/1000+1)
+
+kw = {
+    'vmin': data.min(),
+    'vmax': data.max(),
+    'levels': np.linspace(data.min(), data.max(), 10),
+}
+
+# Create a figure with 3D ax
+fig = plt.figure(figsize=(5, 4))
+ax = fig.add_subplot(111, projection='3d')
+
+# Plot contour surfaces
+_ = ax.contourf(
+    X[:, :, 0], Y[:, :, 0], data[:, :, 0],
+    zdir='z', offset=0, **kw
+)
+_ = ax.contourf(
+    X[0, :, :], data[0, :, :], Z[0, :, :],
+    zdir='y', offset=0, **kw
+)
+C = ax.contourf(
+    data[:, -1, :], Y[:, -1, :], Z[:, -1, :],
+    zdir='x', offset=X.max(), **kw
+)
+# --
+
+
+# Set limits of the plot from coord limits
+xmin, xmax = X.min(), X.max()
+ymin, ymax = Y.min(), Y.max()
+zmin, zmax = Z.min(), Z.max()
+ax.set(xlim=[xmin, xmax], ylim=[ymin, ymax], zlim=[zmin, zmax])
+
+# Plot edges
+edges_kw = dict(color='0.4', linewidth=1, zorder=1e3)
+ax.plot([xmax, xmax], [ymin, ymax], 0, **edges_kw)
+ax.plot([xmin, xmax], [ymin, ymin], 0, **edges_kw)
+ax.plot([xmax, xmax], [ymin, ymin], [zmin, zmax], **edges_kw)
+
+# Set labels and zticks
+ax.set(
+    xlabel='X [km]',
+    ylabel='Y [km]',
+    zlabel='Z [m]',
+    zticks=[0, -150, -300, -450],
+)
+
+# Set zoom and angle view
+ax.view_init(40, -30, 0)
+ax.set_box_aspect(None, zoom=0.9)
+
+# Colorbar
+fig.colorbar(C, ax=ax, fraction=0.02, pad=0.1, label='Name [units]')
+
+# Show Figure
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/contour3d.py b/galleries/examples/mplot3d/contour3d.py
new file mode 100644
index 000000000000..747fdbe37d8a
--- /dev/null
+++ b/galleries/examples/mplot3d/contour3d.py
@@ -0,0 +1,24 @@
+"""
+=================================
+Plot contour (level) curves in 3D
+=================================
+
+This is like a contour plot in 2D except that the ``f(x, y)=c`` curve is
+plotted on the plane ``z=c``.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+ax = plt.figure().add_subplot(projection='3d')
+X, Y, Z = axes3d.get_test_data(0.05)
+
+ax.contour(X, Y, Z, cmap="coolwarm")  # Plot contour curves
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/contour3d_2.py b/galleries/examples/mplot3d/contour3d_2.py
new file mode 100644
index 000000000000..f70409efcc36
--- /dev/null
+++ b/galleries/examples/mplot3d/contour3d_2.py
@@ -0,0 +1,23 @@
+"""
+===========================================================
+Plot contour (level) curves in 3D using the extend3d option
+===========================================================
+
+This modification of the :doc:`contour3d` example uses ``extend3d=True`` to
+extend the curves vertically into 'ribbons'.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+ax = plt.figure().add_subplot(projection='3d')
+X, Y, Z = axes3d.get_test_data(0.05)
+ax.contour(X, Y, Z, extend3d=True, cmap="coolwarm")
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/contour3d_3.py b/galleries/examples/mplot3d/contour3d_3.py
new file mode 100644
index 000000000000..92adb97fc04e
--- /dev/null
+++ b/galleries/examples/mplot3d/contour3d_3.py
@@ -0,0 +1,37 @@
+"""
+=====================================
+Project contour profiles onto a graph
+=====================================
+Demonstrates displaying a 3D surface while also projecting contour 'profiles'
+onto the 'walls' of the graph.
+See :doc:`contourf3d_2` for the filled version.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+ax = plt.figure().add_subplot(projection='3d')
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Plot the 3D surface
+ax.plot_surface(X, Y, Z, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8,
+                alpha=0.3)
+
+# Plot projections of the contours for each dimension.  By choosing offsets
+# that match the appropriate axes limits, the projected contours will sit on
+# the 'walls' of the graph.
+ax.contour(X, Y, Z, zdir='z', offset=-100, cmap='coolwarm')
+ax.contour(X, Y, Z, zdir='x', offset=-40, cmap='coolwarm')
+ax.contour(X, Y, Z, zdir='y', offset=40, cmap='coolwarm')
+
+ax.set(xlim=(-40, 40), ylim=(-40, 40), zlim=(-100, 100),
+       xlabel='X', ylabel='Y', zlabel='Z')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: axes,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/contourf3d.py b/galleries/examples/mplot3d/contourf3d.py
new file mode 100644
index 000000000000..831547f9aaa1
--- /dev/null
+++ b/galleries/examples/mplot3d/contourf3d.py
@@ -0,0 +1,26 @@
+"""
+===============
+Filled contours
+===============
+
+`.Axes3D.contourf` differs from `.Axes3D.contour` in that it creates filled
+contours, i.e. a discrete number of colours are used to shade the domain.
+
+This is like a `.Axes.contourf` plot in 2D except that the shaded region
+corresponding to the level c is graphed on the plane ``z=c``.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+ax = plt.figure().add_subplot(projection='3d')
+X, Y, Z = axes3d.get_test_data(0.05)
+ax.contourf(X, Y, Z, cmap="coolwarm")
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/contourf3d_2.py b/galleries/examples/mplot3d/contourf3d_2.py
new file mode 100644
index 000000000000..58fede4e3ab5
--- /dev/null
+++ b/galleries/examples/mplot3d/contourf3d_2.py
@@ -0,0 +1,37 @@
+"""
+===================================
+Project filled contour onto a graph
+===================================
+Demonstrates displaying a 3D surface while also projecting filled contour
+'profiles' onto the 'walls' of the graph.
+See :doc:`contour3d_3` for the unfilled version.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+ax = plt.figure().add_subplot(projection='3d')
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Plot the 3D surface
+ax.plot_surface(X, Y, Z, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8,
+                alpha=0.3)
+
+# Plot projections of the contours for each dimension.  By choosing offsets
+# that match the appropriate axes limits, the projected contours will sit on
+# the 'walls' of the graph
+ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap='coolwarm')
+ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap='coolwarm')
+ax.contourf(X, Y, Z, zdir='y', offset=40, cmap='coolwarm')
+
+ax.set(xlim=(-40, 40), ylim=(-40, 40), zlim=(-100, 100),
+       xlabel='X', ylabel='Y', zlabel='Z')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: axes,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/custom_shaded_3d_surface.py b/galleries/examples/mplot3d/custom_shaded_3d_surface.py
new file mode 100644
index 000000000000..e8d1a4f33d87
--- /dev/null
+++ b/galleries/examples/mplot3d/custom_shaded_3d_surface.py
@@ -0,0 +1,42 @@
+"""
+=======================================
+Custom hillshading in a 3D surface plot
+=======================================
+
+Demonstrates using custom hillshading in a 3D surface plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+from matplotlib.colors import LightSource
+
+# Load and format data
+dem = cbook.get_sample_data('jacksboro_fault_dem.npz')
+z = dem['elevation']
+nrows, ncols = z.shape
+x = np.linspace(dem['xmin'], dem['xmax'], ncols)
+y = np.linspace(dem['ymin'], dem['ymax'], nrows)
+x, y = np.meshgrid(x, y)
+
+region = np.s_[5:50, 5:50]
+x, y, z = x[region], y[region], z[region]
+
+# Set up plot
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+
+ls = LightSource(270, 45)
+# To use a custom hillshading mode, override the built-in shading and pass
+# in the rgb colors of the shaded surface calculated from "shade".
+rgb = ls.shade(z, cmap=plt.colormaps["gist_earth"], vert_exag=0.1, blend_mode='soft')
+surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
+                       linewidth=0, antialiased=False, shade=False)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: intermediate,
+#    domain: cartography
diff --git a/galleries/examples/mplot3d/errorbar3d.py b/galleries/examples/mplot3d/errorbar3d.py
new file mode 100644
index 000000000000..1ece3ca1e8cf
--- /dev/null
+++ b/galleries/examples/mplot3d/errorbar3d.py
@@ -0,0 +1,35 @@
+"""
+============
+3D errorbars
+============
+
+An example of using errorbars with upper and lower limits in mplot3d.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# setting up a parametric curve
+t = np.arange(0, 2*np.pi+.1, 0.01)
+x, y, z = np.sin(t), np.cos(3*t), np.sin(5*t)
+
+estep = 15
+i = np.arange(t.size)
+zuplims = (i % estep == 0) & (i // estep % 3 == 0)
+zlolims = (i % estep == 0) & (i // estep % 3 == 2)
+
+ax.errorbar(x, y, z, 0.2, zuplims=zuplims, zlolims=zlolims, errorevery=estep)
+
+ax.set_xlabel("X label")
+ax.set_ylabel("Y label")
+ax.set_zlabel("Z label")
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: error,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/fillbetween3d.py b/galleries/examples/mplot3d/fillbetween3d.py
new file mode 100644
index 000000000000..b9d61b4d1eb2
--- /dev/null
+++ b/galleries/examples/mplot3d/fillbetween3d.py
@@ -0,0 +1,34 @@
+"""
+=====================
+Fill between 3D lines
+=====================
+
+Demonstrate how to fill the space between 3D lines with surfaces. Here we
+create a sort of "lampshade" shape.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+N = 50
+theta = np.linspace(0, 2*np.pi, N)
+
+x1 = np.cos(theta)
+y1 = np.sin(theta)
+z1 = 0.1 * np.sin(6 * theta)
+
+x2 = 0.6 * np.cos(theta)
+y2 = 0.6 * np.sin(theta)
+z2 = 2  # Note that scalar values work in addition to length N arrays
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+ax.fill_between(x1, y1, z1, x2, y2, z2, alpha=0.5, edgecolor='k')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    plot-type: fill_between,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/fillunder3d.py b/galleries/examples/mplot3d/fillunder3d.py
new file mode 100644
index 000000000000..7e9889633f70
--- /dev/null
+++ b/galleries/examples/mplot3d/fillunder3d.py
@@ -0,0 +1,40 @@
+"""
+=========================
+Fill under 3D line graphs
+=========================
+
+Demonstrate how to create polygons which fill the space under a line
+graph. In this example polygons are semi-transparent, creating a sort
+of 'jagged stained glass' effect.
+"""
+
+import math
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+gamma = np.vectorize(math.gamma)
+N = 31
+x = np.linspace(0., 10., N)
+lambdas = range(1, 9)
+
+ax = plt.figure().add_subplot(projection='3d')
+
+facecolors = plt.colormaps['viridis_r'](np.linspace(0, 1, len(lambdas)))
+
+for i, l in enumerate(lambdas):
+    # Note fill_between can take coordinates as length N vectors, or scalars
+    ax.fill_between(x, l, l**x * np.exp(-l) / gamma(x + 1),
+                    x, l, 0,
+                    facecolors=facecolors[i], alpha=.7)
+
+ax.set(xlim=(0, 10), ylim=(1, 9), zlim=(0, 0.35),
+       xlabel='x', ylabel=r'$\lambda$', zlabel='probability')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    plot-type: fill_between,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/hist3d.py b/galleries/examples/mplot3d/hist3d.py
new file mode 100644
index 000000000000..65d0d60958d8
--- /dev/null
+++ b/galleries/examples/mplot3d/hist3d.py
@@ -0,0 +1,39 @@
+"""
+==============================
+Create 3D histogram of 2D data
+==============================
+
+Demo of a histogram for 2D data as a bar graph in 3D.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+x, y = np.random.rand(2, 100) * 4
+hist, xedges, yedges = np.histogram2d(x, y, bins=4, range=[[0, 4], [0, 4]])
+
+# Construct arrays for the anchor positions of the 16 bars.
+xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25, indexing="ij")
+xpos = xpos.ravel()
+ypos = ypos.ravel()
+zpos = 0
+
+# Construct arrays with the dimensions for the 16 bars.
+dx = dy = 0.5 * np.ones_like(zpos)
+dz = hist.ravel()
+
+ax.bar3d(xpos, ypos, zpos, dx, dy, dz, zsort='average')
+
+plt.show()
+
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: histogram,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/imshow3d.py b/galleries/examples/mplot3d/imshow3d.py
new file mode 100644
index 000000000000..dba962734bbe
--- /dev/null
+++ b/galleries/examples/mplot3d/imshow3d.py
@@ -0,0 +1,94 @@
+"""
+===============
+2D images in 3D
+===============
+
+This example demonstrates how to plot 2D color coded images (similar to
+`.Axes.imshow`) as a plane in 3D.
+
+Matplotlib does not have a native function for this. Below we build one by relying
+on `.Axes3D.plot_surface`. For simplicity, there are some differences to
+`.Axes.imshow`: This function does not set the aspect of the Axes, hence pixels are
+not necessarily square. Also, pixel edges are on integer values rather than pixel
+centers. Furthermore, many optional parameters of `.Axes.imshow` are not implemented.
+
+Multiple calls of ``imshow3d`` use independent norms and thus different color scales
+by default. If you want to have a single common color scale, you need to construct
+a suitable norm beforehand and pass it to all ``imshow3d`` calls.
+
+A fundamental limitation of the 3D plotting engine is that intersecting objects cannot
+be drawn correctly. One object will always be drawn after the other. Therefore,
+multiple image planes can well be used in the background as shown in this example.
+But this approach is not suitable if the planes intersect.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.colors import Normalize
+
+
+def imshow3d(ax, array, value_direction='z', pos=0, norm=None, cmap=None):
+    """
+    Display a 2D array as a  color-coded 2D image embedded in 3d.
+
+    The image will be in a plane perpendicular to the coordinate axis *value_direction*.
+
+    Parameters
+    ----------
+    ax : Axes3D
+        The 3D Axes to plot into.
+    array : 2D numpy array
+        The image values.
+    value_direction : {'x', 'y', 'z'}
+        The axis normal to the image plane.
+    pos : float
+        The numeric value on the *value_direction* axis at which the image plane is
+        located.
+    norm : `~matplotlib.colors.Normalize`, default: Normalize
+        The normalization method used to scale scalar data. See `imshow()`.
+    cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+        The Colormap instance or registered colormap name used to map scalar data
+        to colors.
+    """
+    if norm is None:
+        norm = Normalize()
+    colors = plt.get_cmap(cmap)(norm(array))
+
+    if value_direction == 'x':
+        nz, ny = array.shape
+        zi, yi = np.mgrid[0:nz + 1, 0:ny + 1]
+        xi = np.full_like(yi, pos)
+    elif value_direction == 'y':
+        nx, nz = array.shape
+        xi, zi = np.mgrid[0:nx + 1, 0:nz + 1]
+        yi = np.full_like(zi, pos)
+    elif value_direction == 'z':
+        ny, nx = array.shape
+        yi, xi = np.mgrid[0:ny + 1, 0:nx + 1]
+        zi = np.full_like(xi, pos)
+    else:
+        raise ValueError(f"Invalid value_direction: {value_direction!r}")
+    ax.plot_surface(xi, yi, zi, rstride=1, cstride=1, facecolors=colors, shade=False)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+ax.set(xlabel="x", ylabel="y", zlabel="z")
+
+nx, ny, nz = 8, 10, 5
+data_xy = np.arange(ny * nx).reshape(ny, nx) + 15 * np.random.random((ny, nx))
+data_yz = np.arange(nz * ny).reshape(nz, ny) + 10 * np.random.random((nz, ny))
+data_zx = np.arange(nx * nz).reshape(nx, nz) + 8 * np.random.random((nx, nz))
+
+imshow3d(ax, data_xy)
+imshow3d(ax, data_yz, value_direction='x', cmap='magma')
+imshow3d(ax, data_zx, value_direction='y', pos=ny, cmap='plasma')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: colormap,
+#    level: advanced
diff --git a/galleries/examples/mplot3d/intersecting_planes.py b/galleries/examples/mplot3d/intersecting_planes.py
new file mode 100644
index 000000000000..a5a92caf5c6b
--- /dev/null
+++ b/galleries/examples/mplot3d/intersecting_planes.py
@@ -0,0 +1,95 @@
+"""
+===================
+Intersecting planes
+===================
+
+This examples demonstrates drawing intersecting planes in 3D. It is a generalization
+of :doc:`/gallery/mplot3d/imshow3d`.
+
+Drawing intersecting planes in `.mplot3d` is complicated, because `.mplot3d` is not a
+real 3D renderer, but only projects the Artists into 3D and draws them in the right
+order. This does not work correctly if Artists overlap each other mutually. In this
+example, we lift the problem of mutual overlap by segmenting the planes at their
+intersections, making four parts out of each plane.
+
+This examples only works correctly for planes that cut each other in haves. This
+limitation is intentional to keep the code more readable. Cutting at arbitrary
+positions would of course be possible but makes the code even more complex.
+Thus, this example is more a demonstration of the concept how to work around
+limitations of the 3D visualization, it's not a refined solution for drawing
+arbitrary intersecting planes, which you can copy-and-paste as is.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def plot_quadrants(ax, array, fixed_coord, cmap):
+    """For a given 3d *array* plot a plane with *fixed_coord*, using four quadrants."""
+    nx, ny, nz = array.shape
+    index = {
+        'x': (nx // 2, slice(None), slice(None)),
+        'y': (slice(None), ny // 2, slice(None)),
+        'z': (slice(None), slice(None), nz // 2),
+    }[fixed_coord]
+    plane_data = array[index]
+
+    n0, n1 = plane_data.shape
+    quadrants = [
+        plane_data[:n0 // 2, :n1 // 2],
+        plane_data[:n0 // 2, n1 // 2:],
+        plane_data[n0 // 2:, :n1 // 2],
+        plane_data[n0 // 2:, n1 // 2:]
+    ]
+
+    min_val = array.min()
+    max_val = array.max()
+
+    cmap = plt.get_cmap(cmap)
+
+    for i, quadrant in enumerate(quadrants):
+        facecolors = cmap((quadrant - min_val) / (max_val - min_val))
+        if fixed_coord == 'x':
+            Y, Z = np.mgrid[0:ny // 2, 0:nz // 2]
+            X = nx // 2 * np.ones_like(Y)
+            Y_offset = (i // 2) * ny // 2
+            Z_offset = (i % 2) * nz // 2
+            ax.plot_surface(X, Y + Y_offset, Z + Z_offset, rstride=1, cstride=1,
+                            facecolors=facecolors, shade=False)
+        elif fixed_coord == 'y':
+            X, Z = np.mgrid[0:nx // 2, 0:nz // 2]
+            Y = ny // 2 * np.ones_like(X)
+            X_offset = (i // 2) * nx // 2
+            Z_offset = (i % 2) * nz // 2
+            ax.plot_surface(X + X_offset, Y, Z + Z_offset, rstride=1, cstride=1,
+                            facecolors=facecolors, shade=False)
+        elif fixed_coord == 'z':
+            X, Y = np.mgrid[0:nx // 2, 0:ny // 2]
+            Z = nz // 2 * np.ones_like(X)
+            X_offset = (i // 2) * nx // 2
+            Y_offset = (i % 2) * ny // 2
+            ax.plot_surface(X + X_offset, Y + Y_offset, Z, rstride=1, cstride=1,
+                            facecolors=facecolors, shade=False)
+
+
+def figure_3D_array_slices(array, cmap=None):
+    """Plot a 3d array using three intersecting centered planes."""
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_box_aspect(array.shape)
+    plot_quadrants(ax, array, 'x', cmap=cmap)
+    plot_quadrants(ax, array, 'y', cmap=cmap)
+    plot_quadrants(ax, array, 'z', cmap=cmap)
+    return fig, ax
+
+
+nx, ny, nz = 70, 100, 50
+r_square = (np.mgrid[-1:1:1j * nx, -1:1:1j * ny, -1:1:1j * nz] ** 2).sum(0)
+
+figure_3D_array_slices(r_square, cmap='viridis_r')
+plt.show()
+
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: advanced
diff --git a/galleries/examples/mplot3d/lines3d.py b/galleries/examples/mplot3d/lines3d.py
new file mode 100644
index 000000000000..ee38dade6997
--- /dev/null
+++ b/galleries/examples/mplot3d/lines3d.py
@@ -0,0 +1,29 @@
+"""
+================
+Parametric curve
+================
+
+This example demonstrates plotting a parametric curve in 3D.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# Prepare arrays x, y, z
+theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
+z = np.linspace(-2, 2, 100)
+r = z**2 + 1
+x = r * np.sin(theta)
+y = r * np.cos(theta)
+
+ax.plot(x, y, z, label='parametric curve')
+ax.legend()
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/lorenz_attractor.py b/galleries/examples/mplot3d/lorenz_attractor.py
new file mode 100644
index 000000000000..72d25ea544cb
--- /dev/null
+++ b/galleries/examples/mplot3d/lorenz_attractor.py
@@ -0,0 +1,66 @@
+"""
+================
+Lorenz attractor
+================
+
+This is an example of plotting Edward Lorenz's 1963 `"Deterministic Nonperiodic
+Flow"`_ in a 3-dimensional space using mplot3d.
+
+.. _"Deterministic Nonperiodic Flow":
+   https://journals.ametsoc.org/view/journals/atsc/20/2/1520-0469_1963_020_0130_dnf_2_0_co_2.xml
+
+.. note::
+   Because this is a simple non-linear ODE, it would be more easily done using
+   SciPy's ODE solver, but this approach depends only upon NumPy.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def lorenz(xyz, *, s=10, r=28, b=2.667):
+    """
+    Parameters
+    ----------
+    xyz : array-like, shape (3,)
+       Point of interest in three-dimensional space.
+    s, r, b : float
+       Parameters defining the Lorenz attractor.
+
+    Returns
+    -------
+    xyz_dot : array, shape (3,)
+       Values of the Lorenz attractor's partial derivatives at *xyz*.
+    """
+    x, y, z = xyz
+    x_dot = s*(y - x)
+    y_dot = r*x - y - x*z
+    z_dot = x*y - b*z
+    return np.array([x_dot, y_dot, z_dot])
+
+
+dt = 0.01
+num_steps = 10000
+
+xyzs = np.empty((num_steps + 1, 3))  # Need one more for the initial values
+xyzs[0] = (0., 1., 1.05)  # Set initial values
+# Step through "time", calculating the partial derivatives at the current point
+# and using them to estimate the next point
+for i in range(num_steps):
+    xyzs[i + 1] = xyzs[i] + lorenz(xyzs[i]) * dt
+
+# Plot
+ax = plt.figure().add_subplot(projection='3d')
+
+ax.plot(*xyzs.T, lw=0.5)
+ax.set_xlabel("X Axis")
+ax.set_ylabel("Y Axis")
+ax.set_zlabel("Z Axis")
+ax.set_title("Lorenz Attractor")
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/mixed_subplots.py b/galleries/examples/mplot3d/mixed_subplots.py
new file mode 100644
index 000000000000..a38fd2e10a2b
--- /dev/null
+++ b/galleries/examples/mplot3d/mixed_subplots.py
@@ -0,0 +1,52 @@
+"""
+=============================
+2D and 3D Axes in same figure
+=============================
+
+This example shows a how to plot a 2D and a 3D plot on the same figure.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def f(t):
+    return np.cos(2*np.pi*t) * np.exp(-t)
+
+
+# Set up a figure twice as tall as it is wide
+fig = plt.figure(figsize=plt.figaspect(2.))
+fig.suptitle('A tale of 2 subplots')
+
+# First subplot
+ax = fig.add_subplot(2, 1, 1)
+
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+t3 = np.arange(0.0, 2.0, 0.01)
+
+ax.plot(t1, f(t1), 'bo',
+        t2, f(t2), 'k--', markerfacecolor='green')
+ax.grid(True)
+ax.set_ylabel('Damped oscillation')
+
+# Second subplot
+ax = fig.add_subplot(2, 1, 2, projection='3d')
+
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,
+                       linewidth=0, antialiased=False)
+ax.set_zlim(-1, 1)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: subplot,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/offset.py b/galleries/examples/mplot3d/offset.py
new file mode 100644
index 000000000000..4c5e4b06b62b
--- /dev/null
+++ b/galleries/examples/mplot3d/offset.py
@@ -0,0 +1,38 @@
+"""
+=========================
+Automatic text offsetting
+=========================
+
+This example demonstrates mplot3d's offset text display.
+As one rotates the 3D figure, the offsets should remain oriented the
+same way as the axis label, and should also be located "away"
+from the center of the plot.
+
+This demo triggers the display of the offset text for the x- and
+y-axis by adding 1e5 to X and Y. Anything less would not
+automatically trigger it.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.figure().add_subplot(projection='3d')
+
+X, Y = np.mgrid[0:6*np.pi:0.25, 0:4*np.pi:0.25]
+Z = np.sqrt(np.abs(np.cos(X) + np.cos(Y)))
+
+ax.plot_surface(X + 1e5, Y + 1e5, Z, cmap='autumn', cstride=2, rstride=2)
+
+ax.set_xlabel("X label")
+ax.set_ylabel("Y label")
+ax.set_zlabel("Z label")
+ax.set_zlim(0, 2)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: label,
+#    interactivity: pan,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/pathpatch3d.py b/galleries/examples/mplot3d/pathpatch3d.py
new file mode 100644
index 000000000000..8cb7c4951809
--- /dev/null
+++ b/galleries/examples/mplot3d/pathpatch3d.py
@@ -0,0 +1,77 @@
+"""
+============================
+Draw flat objects in 3D plot
+============================
+
+Demonstrate using `.pathpatch_2d_to_3d` to 'draw' shapes and text on a 3D plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Circle, PathPatch
+from matplotlib.text import TextPath
+from matplotlib.transforms import Affine2D
+import mpl_toolkits.mplot3d.art3d as art3d
+
+
+def text3d(ax, xyz, s, zdir="z", size=None, angle=0, usetex=False, **kwargs):
+    """
+    Plots the string *s* on the Axes *ax*, with position *xyz*, size *size*,
+    and rotation angle *angle*. *zdir* gives the axis which is to be treated as
+    the third dimension. *usetex* is a boolean indicating whether the string
+    should be run through a LaTeX subprocess or not.  Any additional keyword
+    arguments are forwarded to `.transform_path`.
+
+    Note: zdir affects the interpretation of xyz.
+    """
+    x, y, z = xyz
+    if zdir == "y":
+        xy1, z1 = (x, z), y
+    elif zdir == "x":
+        xy1, z1 = (y, z), x
+    else:
+        xy1, z1 = (x, y), z
+
+    text_path = TextPath((0, 0), s, size=size, usetex=usetex)
+    trans = Affine2D().rotate(angle).translate(xy1[0], xy1[1])
+
+    p1 = PathPatch(trans.transform_path(text_path), **kwargs)
+    ax.add_patch(p1)
+    art3d.pathpatch_2d_to_3d(p1, z=z1, zdir=zdir)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Draw a circle on the x=0 'wall'
+p = Circle((5, 5), 3)
+ax.add_patch(p)
+art3d.pathpatch_2d_to_3d(p, z=0, zdir="x")
+
+# Manually label the axes
+text3d(ax, (4, -2, 0), "X-axis", zdir="z", size=.5, usetex=False,
+       ec="none", fc="k")
+text3d(ax, (12, 4, 0), "Y-axis", zdir="z", size=.5, usetex=False,
+       angle=np.pi / 2, ec="none", fc="k")
+text3d(ax, (12, 10, 4), "Z-axis", zdir="y", size=.5, usetex=False,
+       angle=np.pi / 2, ec="none", fc="k")
+
+# Write a Latex formula on the z=0 'floor'
+text3d(ax, (1, 5, 0),
+       r"$\displaystyle G_{\mu\nu} + \Lambda g_{\mu\nu} = "
+       r"\frac{8\pi G}{c^4} T_{\mu\nu}  $",
+       zdir="z", size=1, usetex=True,
+       ec="none", fc="k")
+
+ax.set_xlim(0, 10)
+ax.set_ylim(0, 10)
+ax.set_zlim(0, 10)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: label,
+#    level: advanced
diff --git a/galleries/examples/mplot3d/polys3d.py b/galleries/examples/mplot3d/polys3d.py
new file mode 100644
index 000000000000..19979ceddaa5
--- /dev/null
+++ b/galleries/examples/mplot3d/polys3d.py
@@ -0,0 +1,41 @@
+"""
+====================
+Generate 3D polygons
+====================
+
+Demonstrate how to create polygons in 3D. Here we stack 3 hexagons.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.mplot3d.art3d import Poly3DCollection
+
+# Coordinates of a hexagon
+angles = np.linspace(0, 2 * np.pi, 6, endpoint=False)
+x = np.cos(angles)
+y = np.sin(angles)
+zs = [-3, -2, -1]
+
+# Close the hexagon by repeating the first vertex
+x = np.append(x, x[0])
+y = np.append(y, y[0])
+
+verts = []
+for z in zs:
+    verts.append(list(zip(x*z, y*z, np.full_like(x, z))))
+verts = np.array(verts)
+
+ax = plt.figure().add_subplot(projection='3d')
+
+poly = Poly3DCollection(verts, alpha=.7)
+ax.add_collection3d(poly)
+ax.set_aspect('equalxy')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: colormap,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/projections.py b/galleries/examples/mplot3d/projections.py
new file mode 100644
index 000000000000..ff9d88ccb5cd
--- /dev/null
+++ b/galleries/examples/mplot3d/projections.py
@@ -0,0 +1,62 @@
+"""
+========================
+3D plot projection types
+========================
+
+Demonstrates the different camera projections for 3D plots, and the effects of
+changing the focal length for a perspective projection. Note that Matplotlib
+corrects for the 'zoom' effect of changing the focal length.
+
+The default focal length of 1 corresponds to a Field of View (FOV) of 90 deg.
+An increased focal length between 1 and infinity "flattens" the image, while a
+decreased focal length between 1 and 0 exaggerates the perspective and gives
+the image more apparent depth. In the limiting case, a focal length of
+infinity corresponds to an orthographic projection after correction of the
+zoom effect.
+
+You can calculate focal length from a FOV via the equation:
+
+.. math::
+
+    1 / \\tan (\\mathrm{FOV} / 2)
+
+Or vice versa:
+
+.. math::
+
+    \\mathrm{FOV} = 2 \\arctan (1 / \\mathrm{focal length})
+
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+fig, axs = plt.subplots(1, 3, subplot_kw={'projection': '3d'})
+
+# Get the test data
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Plot the data
+for ax in axs:
+    ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+# Set the orthographic projection.
+axs[0].set_proj_type('ortho')  # FOV = 0 deg
+axs[0].set_title("'ortho'\nfocal_length = ∞", fontsize=10)
+
+# Set the perspective projections
+axs[1].set_proj_type('persp')  # FOV = 90 deg
+axs[1].set_title("'persp'\nfocal_length = 1 (default)", fontsize=10)
+
+axs[2].set_proj_type('persp', focal_length=0.2)  # FOV = 157.4 deg
+axs[2].set_title("'persp'\nfocal_length = 0.2", fontsize=10)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: small-multiples,
+#    component: subplot,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/quiver3d.py b/galleries/examples/mplot3d/quiver3d.py
new file mode 100644
index 000000000000..adc58c2e9d89
--- /dev/null
+++ b/galleries/examples/mplot3d/quiver3d.py
@@ -0,0 +1,32 @@
+"""
+==============
+3D quiver plot
+==============
+
+Demonstrates plotting directional arrows at points on a 3D meshgrid.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# Make the grid
+x, y, z = np.meshgrid(np.arange(-0.8, 1, 0.2),
+                      np.arange(-0.8, 1, 0.2),
+                      np.arange(-0.8, 1, 0.8))
+
+# Make the direction data for the arrows
+u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
+v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
+w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
+     np.sin(np.pi * z))
+
+ax.quiver(x, y, z, u, v, w, length=0.1, normalize=True)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/rotate_axes3d_sgskip.py b/galleries/examples/mplot3d/rotate_axes3d_sgskip.py
new file mode 100644
index 000000000000..76a3369a20d6
--- /dev/null
+++ b/galleries/examples/mplot3d/rotate_axes3d_sgskip.py
@@ -0,0 +1,58 @@
+"""
+==================
+Rotating a 3D plot
+==================
+
+A very simple animation of a rotating 3D plot about all three axes.
+
+See :doc:`wire3d_animation_sgskip` for another example of animating a 3D plot.
+
+(This example is skipped when building the documentation gallery because it
+intentionally takes a long time to run)
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Grab some example data and plot a basic wireframe.
+X, Y, Z = axes3d.get_test_data(0.05)
+ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+# Set the axis labels
+ax.set_xlabel('x')
+ax.set_ylabel('y')
+ax.set_zlabel('z')
+
+# Rotate the axes and update
+for angle in range(0, 360*4 + 1):
+    # Normalize the angle to the range [-180, 180] for display
+    angle_norm = (angle + 180) % 360 - 180
+
+    # Cycle through a full rotation of elevation, then azimuth, roll, and all
+    elev = azim = roll = 0
+    if angle <= 360:
+        elev = angle_norm
+    elif angle <= 360*2:
+        azim = angle_norm
+    elif angle <= 360*3:
+        roll = angle_norm
+    else:
+        elev = azim = roll = angle_norm
+
+    # Update the axis view and title
+    ax.view_init(elev, azim, roll)
+    plt.title('Elevation: %d°, Azimuth: %d°, Roll: %d°' % (elev, azim, roll))
+
+    plt.draw()
+    plt.pause(.001)
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: animation,
+#    level: advanced,
+#    internal: high-bandwidth
diff --git a/galleries/examples/mplot3d/scatter3d.py b/galleries/examples/mplot3d/scatter3d.py
new file mode 100644
index 000000000000..0fc9bf3fe8da
--- /dev/null
+++ b/galleries/examples/mplot3d/scatter3d.py
@@ -0,0 +1,45 @@
+"""
+==============
+3D scatterplot
+==============
+
+Demonstration of a basic scatterplot in 3D.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def randrange(n, vmin, vmax):
+    """
+    Helper function to make an array of random numbers having shape (n, )
+    with each number distributed Uniform(vmin, vmax).
+    """
+    return (vmax - vmin)*np.random.rand(n) + vmin
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+n = 100
+
+# For each set of style and range settings, plot n random points in the box
+# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
+for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
+    xs = randrange(n, 23, 32)
+    ys = randrange(n, 0, 100)
+    zs = randrange(n, zlow, zhigh)
+    ax.scatter(xs, ys, zs, marker=m)
+
+ax.set_xlabel('X Label')
+ax.set_ylabel('Y Label')
+ax.set_zlabel('Z Label')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: scatter,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/stem3d_demo.py b/galleries/examples/mplot3d/stem3d_demo.py
new file mode 100644
index 000000000000..82b45ff19068
--- /dev/null
+++ b/galleries/examples/mplot3d/stem3d_demo.py
@@ -0,0 +1,56 @@
+"""
+=======
+3D stem
+=======
+
+Demonstration of a stem plot in 3D, which plots vertical lines from a baseline
+to the *z*-coordinate and places a marker at the tip.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+theta = np.linspace(0, 2*np.pi)
+x = np.cos(theta - np.pi/2)
+y = np.sin(theta - np.pi/2)
+z = theta
+
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+ax.stem(x, y, z)
+
+plt.show()
+
+# %%
+#
+# The position of the baseline can be adapted using *bottom*. The parameters
+# *linefmt*, *markerfmt*, and *basefmt* control basic format properties of the
+# plot. However, in contrast to `~.axes3d.Axes3D.plot` not all properties are
+# configurable via keyword arguments. For more advanced control adapt the line
+# objects returned by `~mpl_toolkits.mplot3d.axes3d.Axes3D.stem`.
+
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+markerline, stemlines, baseline = ax.stem(
+    x, y, z, linefmt='grey', markerfmt='D', bottom=np.pi)
+markerline.set_markerfacecolor('none')
+
+plt.show()
+
+# %%
+#
+# The orientation of the stems and baseline can be changed using *orientation*.
+# This determines in which direction the stems are projected from the head
+# points, towards the *bottom* baseline.
+#
+# For examples, by setting ``orientation='x'``, the stems are projected along
+# the *x*-direction, and the baseline is in the *yz*-plane.
+
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+markerline, stemlines, baseline = ax.stem(x, y, z, bottom=-1, orientation='x')
+ax.set(xlabel='x', ylabel='y', zlabel='z')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: specialty,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/subplot3d.py b/galleries/examples/mplot3d/subplot3d.py
new file mode 100644
index 000000000000..bdca8a309c2d
--- /dev/null
+++ b/galleries/examples/mplot3d/subplot3d.py
@@ -0,0 +1,50 @@
+"""
+====================
+3D plots as subplots
+====================
+
+Demonstrate including 3D plots as subplots.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.mplot3d.axes3d import get_test_data
+
+# set up a figure twice as wide as it is tall
+fig = plt.figure(figsize=plt.figaspect(0.5))
+
+# =============
+# First subplot
+# =============
+# set up the Axes for the first plot
+ax = fig.add_subplot(1, 2, 1, projection='3d')
+
+# plot a 3D surface like in the example mplot3d/surface3d_demo
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap="coolwarm",
+                       linewidth=0, antialiased=False)
+ax.set_zlim(-1.01, 1.01)
+fig.colorbar(surf, shrink=0.5, aspect=10)
+
+# ==============
+# Second subplot
+# ==============
+# set up the Axes for the second plot
+ax = fig.add_subplot(1, 2, 2, projection='3d')
+
+# plot a 3D wireframe like in the example mplot3d/wire3d_demo
+X, Y, Z = get_test_data(0.05)
+ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: subplot,
+#    level: advanced
diff --git a/galleries/examples/mplot3d/surface3d.py b/galleries/examples/mplot3d/surface3d.py
new file mode 100644
index 000000000000..6c51a69c0d1f
--- /dev/null
+++ b/galleries/examples/mplot3d/surface3d.py
@@ -0,0 +1,59 @@
+"""
+=====================
+3D surface (colormap)
+=====================
+
+Demonstrates plotting a 3D surface colored with the coolwarm colormap.
+The surface is made opaque by using ``antialiased=False``.
+
+Also demonstrates using the `.LinearLocator` and custom formatting for the
+z axis tick labels.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.ticker import LinearLocator
+
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+# Make data.
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+# Plot the surface.
+surf = ax.plot_surface(X, Y, Z, cmap="coolwarm",
+                       linewidth=0, antialiased=False)
+
+# Customize the z axis.
+ax.set_zlim(-1.01, 1.01)
+ax.zaxis.set_major_locator(LinearLocator(10))
+# A StrMethodFormatter is used automatically
+ax.zaxis.set_major_formatter('{x:.02f}')
+
+# Add a color bar which maps values to colors.
+fig.colorbar(surf, shrink=0.5, aspect=5)
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.axis.Axis.set_major_formatter`
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.ticker.LinearLocator`
+#    - `matplotlib.ticker.StrMethodFormatter`
+#
+# .. tags::
+#    plot-type: 3D,
+#    styling: colormap,
+#    level: advanced
diff --git a/galleries/examples/mplot3d/surface3d_2.py b/galleries/examples/mplot3d/surface3d_2.py
new file mode 100644
index 000000000000..2a4406abc259
--- /dev/null
+++ b/galleries/examples/mplot3d/surface3d_2.py
@@ -0,0 +1,33 @@
+"""
+========================
+3D surface (solid color)
+========================
+
+Demonstrates a very basic plot of a 3D surface using a solid color.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Make data
+u = np.linspace(0, 2 * np.pi, 100)
+v = np.linspace(0, np.pi, 100)
+x = 10 * np.outer(np.cos(u), np.sin(v))
+y = 10 * np.outer(np.sin(u), np.sin(v))
+z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
+
+# Plot the surface
+ax.plot_surface(x, y, z)
+
+# Set an equal aspect ratio
+ax.set_aspect('equal')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/surface3d_3.py b/galleries/examples/mplot3d/surface3d_3.py
new file mode 100644
index 000000000000..c129ef6d3635
--- /dev/null
+++ b/galleries/examples/mplot3d/surface3d_3.py
@@ -0,0 +1,46 @@
+"""
+=========================
+3D surface (checkerboard)
+=========================
+
+Demonstrates plotting a 3D surface colored in a checkerboard pattern.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.ticker import LinearLocator
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# Make data.
+X = np.arange(-5, 5, 0.25)
+xlen = len(X)
+Y = np.arange(-5, 5, 0.25)
+ylen = len(Y)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+# Create an empty array of strings with the same shape as the meshgrid, and
+# populate it with two colors in a checkerboard pattern.
+colortuple = ('y', 'b')
+colors = np.empty(X.shape, dtype=str)
+for y in range(ylen):
+    for x in range(xlen):
+        colors[y, x] = colortuple[(x + y) % len(colortuple)]
+
+# Plot the surface with face colors taken from the array we made.
+surf = ax.plot_surface(X, Y, Z, facecolors=colors, linewidth=0)
+
+# Customize the z axis.
+ax.set_zlim(-1, 1)
+ax.zaxis.set_major_locator(LinearLocator(6))
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: color, styling: texture,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/surface3d_radial.py b/galleries/examples/mplot3d/surface3d_radial.py
new file mode 100644
index 000000000000..382734d98a96
--- /dev/null
+++ b/galleries/examples/mplot3d/surface3d_radial.py
@@ -0,0 +1,42 @@
+"""
+=================================
+3D surface with polar coordinates
+=================================
+
+Demonstrates plotting a surface defined in polar coordinates.
+Uses the reversed version of the YlGnBu colormap.
+Also demonstrates writing axis labels with latex math mode.
+
+Example contributed by Armin Moser.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Create the mesh in polar coordinates and compute corresponding Z.
+r = np.linspace(0, 1.25, 50)
+p = np.linspace(0, 2*np.pi, 50)
+R, P = np.meshgrid(r, p)
+Z = ((R**2 - 1)**2)
+
+# Express the mesh in the cartesian system.
+X, Y = R*np.cos(P), R*np.sin(P)
+
+# Plot the surface.
+ax.plot_surface(X, Y, Z, cmap="YlGnBu_r")
+
+# Tweak the limits and add latex math labels.
+ax.set_zlim(0, 1)
+ax.set_xlabel(r'$\phi_\mathrm{real}$')
+ax.set_ylabel(r'$\phi_\mathrm{im}$')
+ax.set_zlabel(r'$V(\phi)$')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: polar,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/text3d.py b/galleries/examples/mplot3d/text3d.py
new file mode 100644
index 000000000000..881ecfaf406e
--- /dev/null
+++ b/galleries/examples/mplot3d/text3d.py
@@ -0,0 +1,52 @@
+"""
+======================
+Text annotations in 3D
+======================
+
+Demonstrates the placement of text annotations on a 3D plot.
+
+Functionality shown:
+
+- Using the `~.Axes3D.text` function with three types of *zdir* values: None,
+  an axis name (ex. 'x'), or a direction tuple (ex. (1, 1, 0)).
+- Using the `~.Axes3D.text` function with the color keyword.
+- Using the `.text2D` function to place text on a fixed position on the ax
+  object.
+"""
+
+import matplotlib.pyplot as plt
+
+ax = plt.figure().add_subplot(projection='3d')
+
+# Demo 1: zdir
+zdirs = (None, 'x', 'y', 'z', (1, 1, 0), (1, 1, 1))
+xs = (1, 4, 4, 9, 4, 1)
+ys = (2, 5, 8, 10, 1, 2)
+zs = (10, 3, 8, 9, 1, 8)
+
+for zdir, x, y, z in zip(zdirs, xs, ys, zs):
+    label = '(%d, %d, %d), dir=%s' % (x, y, z, zdir)
+    ax.text(x, y, z, label, zdir)
+
+# Demo 2: color
+ax.text(9, 0, 0, "red", color='red')
+
+# Demo 3: text2D
+# Placement 0, 0 would be the bottom left, 1, 1 would be the top right.
+ax.text2D(0.05, 0.95, "2D Text", transform=ax.transAxes)
+
+# Tweaking display region and labels
+ax.set_xlim(0, 10)
+ax.set_ylim(0, 10)
+ax.set_zlim(0, 10)
+ax.set_xlabel('X axis')
+ax.set_ylabel('Y axis')
+ax.set_zlabel('Z axis')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: annotation,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/tricontour3d.py b/galleries/examples/mplot3d/tricontour3d.py
new file mode 100644
index 000000000000..d90852003536
--- /dev/null
+++ b/galleries/examples/mplot3d/tricontour3d.py
@@ -0,0 +1,50 @@
+"""
+==========================
+Triangular 3D contour plot
+==========================
+
+Contour plots of unstructured triangular grids.
+
+The data used is the same as in the second plot of :doc:`trisurf3d_2`.
+:doc:`tricontourf3d` shows the filled version of this example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+n_angles = 48
+n_radii = 8
+min_radius = 0.25
+
+# Create the mesh in polar coordinates and compute x, y, z.
+radii = np.linspace(min_radius, 0.95, n_radii)
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi/n_angles
+
+x = (radii*np.cos(angles)).flatten()
+y = (radii*np.sin(angles)).flatten()
+z = (np.cos(radii)*np.cos(3*angles)).flatten()
+
+# Create a custom triangulation.
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+ax = plt.figure().add_subplot(projection='3d')
+ax.tricontour(triang, z, cmap="CMRmap")
+
+# Customize the view angle so it's easier to understand the plot.
+ax.view_init(elev=45.)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: specialty,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/tricontourf3d.py b/galleries/examples/mplot3d/tricontourf3d.py
new file mode 100644
index 000000000000..49be57456d91
--- /dev/null
+++ b/galleries/examples/mplot3d/tricontourf3d.py
@@ -0,0 +1,51 @@
+"""
+=================================
+Triangular 3D filled contour plot
+=================================
+
+Filled contour plots of unstructured triangular grids.
+
+The data used is the same as in the second plot of :doc:`trisurf3d_2`.
+:doc:`tricontour3d` shows the unfilled version of this example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as tri
+
+# First create the x, y, z coordinates of the points.
+n_angles = 48
+n_radii = 8
+min_radius = 0.25
+
+# Create the mesh in polar coordinates and compute x, y, z.
+radii = np.linspace(min_radius, 0.95, n_radii)
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi/n_angles
+
+x = (radii*np.cos(angles)).flatten()
+y = (radii*np.sin(angles)).flatten()
+z = (np.cos(radii)*np.cos(3*angles)).flatten()
+
+# Create a custom triangulation.
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                         y[triang.triangles].mean(axis=1))
+                < min_radius)
+
+ax = plt.figure().add_subplot(projection='3d')
+ax.tricontourf(triang, z, cmap="CMRmap")
+
+# Customize the view angle so it's easier to understand the plot.
+ax.view_init(elev=45.)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: specialty,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/trisurf3d.py b/galleries/examples/mplot3d/trisurf3d.py
new file mode 100644
index 000000000000..f4e7444a4311
--- /dev/null
+++ b/galleries/examples/mplot3d/trisurf3d.py
@@ -0,0 +1,37 @@
+"""
+======================
+Triangular 3D surfaces
+======================
+
+Plot a 3D surface with a triangular mesh.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+n_radii = 8
+n_angles = 36
+
+# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
+radii = np.linspace(0.125, 1.0, n_radii)
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)[..., np.newaxis]
+
+# Convert polar (radii, angles) coords to cartesian (x, y) coords.
+# (0, 0) is manually added at this stage,  so there will be no duplicate
+# points in the (x, y) plane.
+x = np.append(0, (radii*np.cos(angles)).flatten())
+y = np.append(0, (radii*np.sin(angles)).flatten())
+
+# Compute z to make the pringle surface.
+z = np.sin(-x*y)
+
+ax = plt.figure().add_subplot(projection='3d')
+
+ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/trisurf3d_2.py b/galleries/examples/mplot3d/trisurf3d_2.py
new file mode 100644
index 000000000000..0e757140c20e
--- /dev/null
+++ b/galleries/examples/mplot3d/trisurf3d_2.py
@@ -0,0 +1,84 @@
+"""
+===========================
+More triangular 3D surfaces
+===========================
+
+Two additional examples of plotting surfaces with triangular mesh.
+
+The first demonstrates use of plot_trisurf's triangles argument, and the
+second sets a `.Triangulation` object's mask and passes the object directly
+to plot_trisurf.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.tri as mtri
+
+fig = plt.figure(figsize=plt.figaspect(0.5))
+
+# ==========
+# First plot
+# ==========
+
+# Make a mesh in the space of parameterisation variables u and v
+u = np.linspace(0, 2.0 * np.pi, endpoint=True, num=50)
+v = np.linspace(-0.5, 0.5, endpoint=True, num=10)
+u, v = np.meshgrid(u, v)
+u, v = u.flatten(), v.flatten()
+
+# This is the Mobius mapping, taking a u, v pair and returning an x, y, z
+# triple
+x = (1 + 0.5 * v * np.cos(u / 2.0)) * np.cos(u)
+y = (1 + 0.5 * v * np.cos(u / 2.0)) * np.sin(u)
+z = 0.5 * v * np.sin(u / 2.0)
+
+# Triangulate parameter space to determine the triangles
+tri = mtri.Triangulation(u, v)
+
+# Plot the surface.  The triangles in parameter space determine which x, y, z
+# points are connected by an edge.
+ax = fig.add_subplot(1, 2, 1, projection='3d')
+ax.plot_trisurf(x, y, z, triangles=tri.triangles, cmap="Spectral")
+ax.set_zlim(-1, 1)
+
+
+# ===========
+# Second plot
+# ===========
+
+# Make parameter spaces radii and angles.
+n_angles = 36
+n_radii = 8
+min_radius = 0.25
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi/n_angles
+
+# Map radius, angle pairs to x, y, z points.
+x = (radii*np.cos(angles)).flatten()
+y = (radii*np.sin(angles)).flatten()
+z = (np.cos(radii)*np.cos(3*angles)).flatten()
+
+# Create the Triangulation; no triangles so Delaunay triangulation created.
+triang = mtri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+xmid = x[triang.triangles].mean(axis=1)
+ymid = y[triang.triangles].mean(axis=1)
+mask = xmid**2 + ymid**2 < min_radius**2
+triang.set_mask(mask)
+
+# Plot the surface.
+ax = fig.add_subplot(1, 2, 2, projection='3d')
+ax.plot_trisurf(triang, z, cmap="CMRmap")
+
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D, plot-type: specialty,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/view_planes_3d.py b/galleries/examples/mplot3d/view_planes_3d.py
new file mode 100644
index 000000000000..1cac9d61ad1f
--- /dev/null
+++ b/galleries/examples/mplot3d/view_planes_3d.py
@@ -0,0 +1,63 @@
+"""
+======================
+Primary 3D view planes
+======================
+
+This example generates an "unfolded" 3D plot that shows each of the primary 3D
+view planes. The elevation, azimuth, and roll angles required for each view are
+labeled. You could print out this image and fold it into a box where each plane
+forms a side of the box.
+"""
+
+import matplotlib.pyplot as plt
+
+
+def annotate_axes(ax, text, fontsize=18):
+    ax.text(x=0.5, y=0.5, z=0.5, s=text,
+            va="center", ha="center", fontsize=fontsize, color="black")
+
+# (plane, (elev, azim, roll))
+views = [('XY',   (90, -90, 0)),
+         ('XZ',    (0, -90, 0)),
+         ('YZ',    (0,   0, 0)),
+         ('-XY', (-90,  90, 0)),
+         ('-XZ',   (0,  90, 0)),
+         ('-YZ',   (0, 180, 0))]
+
+layout = [['XY',  '.',   'L',   '.'],
+          ['XZ', 'YZ', '-XZ', '-YZ'],
+          ['.',   '.', '-XY',   '.']]
+fig, axd = plt.subplot_mosaic(layout, subplot_kw={'projection': '3d'},
+                              figsize=(12, 8.5))
+for plane, angles in views:
+    axd[plane].set_xlabel('x')
+    axd[plane].set_ylabel('y')
+    axd[plane].set_zlabel('z')
+    axd[plane].set_proj_type('ortho')
+    axd[plane].view_init(elev=angles[0], azim=angles[1], roll=angles[2])
+    axd[plane].set_box_aspect(None, zoom=1.25)
+
+    label = f'{plane}\n{angles}'
+    annotate_axes(axd[plane], label, fontsize=14)
+
+for plane in ('XY', '-XY'):
+    axd[plane].set_zticklabels([])
+    axd[plane].set_zlabel('')
+for plane in ('XZ', '-XZ'):
+    axd[plane].set_yticklabels([])
+    axd[plane].set_ylabel('')
+for plane in ('YZ', '-YZ'):
+    axd[plane].set_xticklabels([])
+    axd[plane].set_xlabel('')
+
+label = 'mplot3d primary view planes\n' + 'ax.view_init(elev, azim, roll)'
+annotate_axes(axd['L'], label, fontsize=18)
+axd['L'].set_axis_off()
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: axes, component: subplot,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/voxels.py b/galleries/examples/mplot3d/voxels.py
new file mode 100644
index 000000000000..ec9f0f413f3a
--- /dev/null
+++ b/galleries/examples/mplot3d/voxels.py
@@ -0,0 +1,39 @@
+"""
+==========================
+3D voxel / volumetric plot
+==========================
+
+Demonstrates plotting 3D volumetric objects with `.Axes3D.voxels`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# prepare some coordinates
+x, y, z = np.indices((8, 8, 8))
+
+# draw cuboids in the top left and bottom right corners, and a link between
+# them
+cube1 = (x < 3) & (y < 3) & (z < 3)
+cube2 = (x >= 5) & (y >= 5) & (z >= 5)
+link = abs(x - y) + abs(y - z) + abs(z - x) <= 2
+
+# combine the objects into a single boolean array
+voxelarray = cube1 | cube2 | link
+
+# set the colors of each object
+colors = np.empty(voxelarray.shape, dtype=object)
+colors[link] = 'red'
+colors[cube1] = 'blue'
+colors[cube2] = 'green'
+
+# and plot everything
+ax = plt.figure().add_subplot(projection='3d')
+ax.voxels(voxelarray, facecolors=colors, edgecolor='k')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/voxels_numpy_logo.py b/galleries/examples/mplot3d/voxels_numpy_logo.py
new file mode 100644
index 000000000000..c128f055cbe6
--- /dev/null
+++ b/galleries/examples/mplot3d/voxels_numpy_logo.py
@@ -0,0 +1,53 @@
+"""
+===============================
+3D voxel plot of the NumPy logo
+===============================
+
+Demonstrates using `.Axes3D.voxels` with uneven coordinates.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def explode(data):
+    size = np.array(data.shape)*2
+    data_e = np.zeros(size - 1, dtype=data.dtype)
+    data_e[::2, ::2, ::2] = data
+    return data_e
+
+# build up the numpy logo
+n_voxels = np.zeros((4, 3, 4), dtype=bool)
+n_voxels[0, 0, :] = True
+n_voxels[-1, 0, :] = True
+n_voxels[1, 0, 2] = True
+n_voxels[2, 0, 1] = True
+facecolors = np.where(n_voxels, '#FFD65DC0', '#7A88CCC0')
+edgecolors = np.where(n_voxels, '#BFAB6E', '#7D84A6')
+filled = np.ones(n_voxels.shape)
+
+# upscale the above voxel image, leaving gaps
+filled_2 = explode(filled)
+fcolors_2 = explode(facecolors)
+ecolors_2 = explode(edgecolors)
+
+# Shrink the gaps
+x, y, z = np.indices(np.array(filled_2.shape) + 1).astype(float) // 2
+x[0::2, :, :] += 0.05
+y[:, 0::2, :] += 0.05
+z[:, :, 0::2] += 0.05
+x[1::2, :, :] += 0.95
+y[:, 1::2, :] += 0.95
+z[:, :, 1::2] += 0.95
+
+ax = plt.figure().add_subplot(projection='3d')
+ax.voxels(x, y, z, filled_2, facecolors=fcolors_2, edgecolors=ecolors_2)
+ax.set_aspect('equal')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner,
+#    purpose: fun
diff --git a/galleries/examples/mplot3d/voxels_rgb.py b/galleries/examples/mplot3d/voxels_rgb.py
new file mode 100644
index 000000000000..6f201b08b386
--- /dev/null
+++ b/galleries/examples/mplot3d/voxels_rgb.py
@@ -0,0 +1,49 @@
+"""
+==========================================
+3D voxel / volumetric plot with RGB colors
+==========================================
+
+Demonstrates using `.Axes3D.voxels` to visualize parts of a color space.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def midpoints(x):
+    sl = ()
+    for _ in range(x.ndim):
+        x = (x[sl + np.index_exp[:-1]] + x[sl + np.index_exp[1:]]) / 2.0
+        sl += np.index_exp[:]
+    return x
+
+# prepare some coordinates, and attach rgb values to each
+r, g, b = np.indices((17, 17, 17)) / 16.0
+rc = midpoints(r)
+gc = midpoints(g)
+bc = midpoints(b)
+
+# define a sphere about [0.5, 0.5, 0.5]
+sphere = (rc - 0.5)**2 + (gc - 0.5)**2 + (bc - 0.5)**2 < 0.5**2
+
+# combine the color components
+colors = np.zeros(sphere.shape + (3,))
+colors[..., 0] = rc
+colors[..., 1] = gc
+colors[..., 2] = bc
+
+# and plot everything
+ax = plt.figure().add_subplot(projection='3d')
+ax.voxels(r, g, b, sphere,
+          facecolors=colors,
+          edgecolors=np.clip(2*colors - 0.5, 0, 1),  # brighter
+          linewidth=0.5)
+ax.set(xlabel='r', ylabel='g', zlabel='b')
+ax.set_aspect('equal')
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: color
diff --git a/galleries/examples/mplot3d/voxels_torus.py b/galleries/examples/mplot3d/voxels_torus.py
new file mode 100644
index 000000000000..db0fdbc6ea4d
--- /dev/null
+++ b/galleries/examples/mplot3d/voxels_torus.py
@@ -0,0 +1,52 @@
+"""
+=======================================================
+3D voxel / volumetric plot with cylindrical coordinates
+=======================================================
+
+Demonstrates using the *x*, *y*, *z* parameters of `.Axes3D.voxels`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors
+
+
+def midpoints(x):
+    sl = ()
+    for i in range(x.ndim):
+        x = (x[sl + np.index_exp[:-1]] + x[sl + np.index_exp[1:]]) / 2.0
+        sl += np.index_exp[:]
+    return x
+
+# prepare some coordinates, and attach rgb values to each
+r, theta, z = np.mgrid[0:1:11j, 0:np.pi*2:25j, -0.5:0.5:11j]
+x = r*np.cos(theta)
+y = r*np.sin(theta)
+
+rc, thetac, zc = midpoints(r), midpoints(theta), midpoints(z)
+
+# define a wobbly torus about [0.7, *, 0]
+sphere = (rc - 0.7)**2 + (zc + 0.2*np.cos(thetac*2))**2 < 0.2**2
+
+# combine the color components
+hsv = np.zeros(sphere.shape + (3,))
+hsv[..., 0] = thetac / (np.pi*2)
+hsv[..., 1] = rc
+hsv[..., 2] = zc + 0.5
+colors = matplotlib.colors.hsv_to_rgb(hsv)
+
+# and plot everything
+ax = plt.figure().add_subplot(projection='3d')
+ax.voxels(x, y, z, sphere,
+          facecolors=colors,
+          edgecolors=np.clip(2*colors - 0.5, 0, 1),  # brighter
+          linewidth=0.5)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    styling: color,
+#    level: intermediate
diff --git a/galleries/examples/mplot3d/wire3d.py b/galleries/examples/mplot3d/wire3d.py
new file mode 100644
index 000000000000..357234f51174
--- /dev/null
+++ b/galleries/examples/mplot3d/wire3d.py
@@ -0,0 +1,27 @@
+"""
+=================
+3D wireframe plot
+=================
+
+A very basic demonstration of a wireframe plot.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Grab some test data.
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Plot a basic wireframe.
+ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/wire3d_animation_sgskip.py b/galleries/examples/mplot3d/wire3d_animation_sgskip.py
new file mode 100644
index 000000000000..903ff4918586
--- /dev/null
+++ b/galleries/examples/mplot3d/wire3d_animation_sgskip.py
@@ -0,0 +1,47 @@
+"""
+===========================
+Animate a 3D wireframe plot
+===========================
+
+A very simple "animation" of a 3D plot.  See also :doc:`rotate_axes3d_sgskip`.
+
+(This example is skipped when building the documentation gallery because it
+intentionally takes a long time to run.)
+"""
+
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='3d')
+
+# Make the X, Y meshgrid.
+xs = np.linspace(-1, 1, 50)
+ys = np.linspace(-1, 1, 50)
+X, Y = np.meshgrid(xs, ys)
+
+# Set the z axis limits, so they aren't recalculated each frame.
+ax.set_zlim(-1, 1)
+
+# Begin plotting.
+wframe = None
+tstart = time.time()
+for phi in np.linspace(0, 180. / np.pi, 100):
+    # If a line collection is already remove it before drawing.
+    if wframe:
+        wframe.remove()
+    # Generate data.
+    Z = np.cos(2 * np.pi * X + phi) * (1 - np.hypot(X, Y))
+    # Plot the new wireframe and pause briefly before continuing.
+    wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2)
+    plt.pause(.001)
+
+print('Average FPS: %f' % (100 / (time.time() - tstart)))
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    component: animation,
+#    level: beginner
diff --git a/galleries/examples/mplot3d/wire3d_zero_stride.py b/galleries/examples/mplot3d/wire3d_zero_stride.py
new file mode 100644
index 000000000000..ff6a14984b5d
--- /dev/null
+++ b/galleries/examples/mplot3d/wire3d_zero_stride.py
@@ -0,0 +1,34 @@
+"""
+===================================
+3D wireframe plots in one direction
+===================================
+
+Demonstrates that setting *rstride* or *cstride* to 0 causes wires to not be
+generated in the corresponding direction.
+"""
+
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+fig, (ax1, ax2) = plt.subplots(
+    2, 1, figsize=(8, 12), subplot_kw={'projection': '3d'})
+
+# Get the test data
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Give the first plot only wireframes of the type y = c
+ax1.plot_wireframe(X, Y, Z, rstride=10, cstride=0)
+ax1.set_title("Column (x) stride set to 0")
+
+# Give the second plot only wireframes of the type x = c
+ax2.plot_wireframe(X, Y, Z, rstride=0, cstride=10)
+ax2.set_title("Row (y) stride set to 0")
+
+plt.tight_layout()
+plt.show()
+
+# %%
+# .. tags::
+#    plot-type: 3D,
+#    level: intermediate
diff --git a/galleries/examples/pie_and_polar_charts/README.txt b/galleries/examples/pie_and_polar_charts/README.txt
new file mode 100644
index 000000000000..31f87c586495
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/README.txt
@@ -0,0 +1,4 @@
+.. _pie_and_polar_charts:
+
+Pie and polar charts
+====================
diff --git a/galleries/examples/pie_and_polar_charts/bar_of_pie.py b/galleries/examples/pie_and_polar_charts/bar_of_pie.py
new file mode 100644
index 000000000000..6f18b964cef7
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/bar_of_pie.py
@@ -0,0 +1,91 @@
+"""
+==========
+Bar of pie
+==========
+
+Make a "bar of pie" chart where the first slice of the pie is
+"exploded" into a bar chart with a further breakdown of said slice's
+characteristics. The example demonstrates using a figure with multiple
+sets of Axes and using the Axes patches list to add two ConnectionPatches
+to link the subplot charts.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import ConnectionPatch
+
+# make figure and assign axis objects
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 5))
+fig.subplots_adjust(wspace=0)
+
+# pie chart parameters
+overall_ratios = [.27, .56, .17]
+labels = ['Approve', 'Disapprove', 'Undecided']
+explode = [0.1, 0, 0]
+# rotate so that first wedge is split by the x-axis
+angle = -180 * overall_ratios[0]
+wedges, *_ = ax1.pie(overall_ratios, autopct='%1.1f%%', startangle=angle,
+                     labels=labels, explode=explode)
+
+# bar chart parameters
+age_ratios = [.33, .54, .07, .06]
+age_labels = ['Under 35', '35-49', '50-65', 'Over 65']
+bottom = 1
+width = .2
+
+# Adding from the top matches the legend.
+for j, (height, label) in enumerate(reversed([*zip(age_ratios, age_labels)])):
+    bottom -= height
+    bc = ax2.bar(0, height, width, bottom=bottom, color='C0', label=label,
+                 alpha=0.1 + 0.25 * j)
+    ax2.bar_label(bc, labels=[f"{height:.0%}"], label_type='center')
+
+ax2.set_title('Age of approvers')
+ax2.legend()
+ax2.axis('off')
+ax2.set_xlim(- 2.5 * width, 2.5 * width)
+
+# use ConnectionPatch to draw lines between the two plots
+theta1, theta2 = wedges[0].theta1, wedges[0].theta2
+center, r = wedges[0].center, wedges[0].r
+bar_height = sum(age_ratios)
+
+# draw top connecting line
+x = r * np.cos(np.pi / 180 * theta2) + center[0]
+y = r * np.sin(np.pi / 180 * theta2) + center[1]
+con = ConnectionPatch(xyA=(-width / 2, bar_height), coordsA=ax2.transData,
+                      xyB=(x, y), coordsB=ax1.transData)
+con.set_color([0, 0, 0])
+con.set_linewidth(4)
+ax2.add_artist(con)
+
+# draw bottom connecting line
+x = r * np.cos(np.pi / 180 * theta1) + center[0]
+y = r * np.sin(np.pi / 180 * theta1) + center[1]
+con = ConnectionPatch(xyA=(-width / 2, 0), coordsA=ax2.transData,
+                      xyB=(x, y), coordsB=ax1.transData)
+con.set_color([0, 0, 0])
+ax2.add_artist(con)
+con.set_linewidth(4)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.axes.Axes.pie` / `matplotlib.pyplot.pie`
+#    - `matplotlib.patches.ConnectionPatch`
+#
+# .. tags::
+#
+#    component: subplot
+#    plot-type: pie
+#    plot-type: bar
+#    level: intermediate
+#    purpose: showcase
diff --git a/galleries/examples/pie_and_polar_charts/nested_pie.py b/galleries/examples/pie_and_polar_charts/nested_pie.py
new file mode 100644
index 000000000000..699360a1e3fa
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/nested_pie.py
@@ -0,0 +1,98 @@
+"""
+=================
+Nested pie charts
+=================
+
+The following examples show two ways to build a nested pie chart
+in Matplotlib. Such charts are often referred to as donut charts.
+
+See also the :doc:`/gallery/specialty_plots/leftventricle_bullseye` example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# The most straightforward way to build a pie chart is to use the
+# `~matplotlib.axes.Axes.pie` method.
+#
+# In this case, pie takes values corresponding to counts in a group.
+# We'll first generate some fake data, corresponding to three groups.
+# In the inner circle, we'll treat each number as belonging to its
+# own group. In the outer circle, we'll plot them as members of their
+# original 3 groups.
+#
+# The effect of the donut shape is achieved by setting a ``width`` to
+# the pie's wedges through the *wedgeprops* argument.
+
+
+fig, ax = plt.subplots()
+
+size = 0.3
+vals = np.array([[60., 32.], [37., 40.], [29., 10.]])
+
+tab20c = plt.color_sequences["tab20c"]
+outer_colors = [tab20c[i] for i in [0, 4, 8]]
+inner_colors = [tab20c[i] for i in [1, 2, 5, 6, 9, 10]]
+
+ax.pie(vals.sum(axis=1), radius=1, colors=outer_colors,
+       wedgeprops=dict(width=size, edgecolor='w'))
+
+ax.pie(vals.flatten(), radius=1-size, colors=inner_colors,
+       wedgeprops=dict(width=size, edgecolor='w'))
+
+ax.set(aspect="equal", title='Pie plot with `ax.pie`')
+plt.show()
+
+# %%
+# However, you can accomplish the same output by using a bar plot on
+# Axes with a polar coordinate system. This may give more flexibility on
+# the exact design of the plot.
+#
+# In this case, we need to map x-values of the bar chart onto radians of
+# a circle. The cumulative sum of the values are used as the edges
+# of the bars.
+
+fig, ax = plt.subplots(subplot_kw=dict(projection="polar"))
+
+size = 0.3
+vals = np.array([[60., 32.], [37., 40.], [29., 10.]])
+# Normalize vals to 2 pi
+valsnorm = vals/np.sum(vals)*2*np.pi
+# Obtain the ordinates of the bar edges
+valsleft = np.cumsum(np.append(0, valsnorm.flatten()[:-1])).reshape(vals.shape)
+
+cmap = plt.colormaps["tab20c"]
+outer_colors = cmap(np.arange(3)*4)
+inner_colors = cmap([1, 2, 5, 6, 9, 10])
+
+ax.bar(x=valsleft[:, 0],
+       width=valsnorm.sum(axis=1), bottom=1-size, height=size,
+       color=outer_colors, edgecolor='w', linewidth=1, align="edge")
+
+ax.bar(x=valsleft.flatten(),
+       width=valsnorm.flatten(), bottom=1-2*size, height=size,
+       color=inner_colors, edgecolor='w', linewidth=1, align="edge")
+
+ax.set(title="Pie plot with `ax.bar` and polar coordinates")
+ax.set_axis_off()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pie` / `matplotlib.pyplot.pie`
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.projections.polar`
+#    - ``Axes.set`` (`matplotlib.artist.Artist.set`)
+#    - `matplotlib.axes.Axes.set_axis_off`
+#
+# .. tags::
+#
+#    plot-type: pie
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/pie_and_polar_charts/pie_and_donut_labels.py b/galleries/examples/pie_and_polar_charts/pie_and_donut_labels.py
new file mode 100644
index 000000000000..13e3019bc7ba
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/pie_and_donut_labels.py
@@ -0,0 +1,141 @@
+"""
+=============================
+A pie and a donut with labels
+=============================
+
+Welcome to the Matplotlib bakery. We will create a pie and a donut
+chart through the `pie method <matplotlib.axes.Axes.pie>` and
+show how to label them with a `legend <matplotlib.axes.Axes.legend>`
+as well as with `annotations <matplotlib.axes.Axes.annotate>`.
+"""
+
+# %%
+# As usual we would start by defining the imports and create a figure with
+# subplots.
+# Now it's time for the pie. Starting with a pie recipe, we create the data
+# and a list of labels from it.
+#
+# We can provide a function to the ``autopct`` argument, which will expand
+# automatic percentage labeling by showing absolute values; we calculate
+# the latter back from relative data and the known sum of all values.
+#
+# We then create the pie and store the returned objects for later.  The first
+# returned element of the returned tuple is a list of the wedges.  Those are
+# `matplotlib.patches.Wedge` patches, which can directly be used as the handles
+# for a legend. We can use the legend's ``bbox_to_anchor`` argument to position
+# the legend outside of the pie. Here we use the axes coordinates ``(1, 0, 0.5,
+# 1)`` together with the location ``"center left"``; i.e. the left central
+# point of the legend will be at the left central point of the bounding box,
+# spanning from ``(1, 0)`` to ``(1.5, 1)`` in axes coordinates.
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
+
+recipe = ["375 g flour",
+          "75 g sugar",
+          "250 g butter",
+          "300 g berries"]
+
+data = [float(x.split()[0]) for x in recipe]
+ingredients = [x.split()[-1] for x in recipe]
+
+
+def func(pct, allvals):
+    absolute = int(np.round(pct/100.*np.sum(allvals)))
+    return f"{pct:.1f}%\n({absolute:d} g)"
+
+
+wedges, texts, autotexts = ax.pie(data, autopct=lambda pct: func(pct, data),
+                                  textprops=dict(color="w"))
+
+ax.legend(wedges, ingredients,
+          title="Ingredients",
+          loc="center left",
+          bbox_to_anchor=(1, 0, 0.5, 1))
+
+plt.setp(autotexts, size=8, weight="bold")
+
+ax.set_title("Matplotlib bakery: A pie")
+
+plt.show()
+
+
+# %%
+# Now it's time for the donut. Starting with a donut recipe, we transcribe
+# the data to numbers (converting 1 egg to 50 g), and directly plot the pie.
+# The pie? Wait... it's going to be donut, is it not?
+# Well, as we see here, the donut is a pie, having a certain ``width`` set to
+# the wedges, which is different from its radius. It's as easy as it gets.
+# This is done via the ``wedgeprops`` argument.
+#
+# We then want to label the wedges via
+# `annotations <matplotlib.axes.Axes.annotate>`. We first create some
+# dictionaries of common properties, which we can later pass as keyword
+# argument. We then iterate over all wedges and for each
+#
+# * calculate the angle of the wedge's center,
+# * from that obtain the coordinates of the point at that angle on the
+#   circumference,
+# * determine the horizontal alignment of the text, depending on which side
+#   of the circle the point lies,
+# * update the connection style with the obtained angle to have the annotation
+#   arrow point outwards from the donut,
+# * finally, create the annotation with all the previously
+#   determined parameters.
+
+
+fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
+
+recipe = ["225 g flour",
+          "90 g sugar",
+          "1 egg",
+          "60 g butter",
+          "100 ml milk",
+          "1/2 package of yeast"]
+
+data = [225, 90, 50, 60, 100, 5]
+
+wedges, texts = ax.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
+
+bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
+kw = dict(arrowprops=dict(arrowstyle="-"),
+          bbox=bbox_props, zorder=0, va="center")
+
+for i, p in enumerate(wedges):
+    ang = (p.theta2 - p.theta1)/2. + p.theta1
+    y = np.sin(np.deg2rad(ang))
+    x = np.cos(np.deg2rad(ang))
+    horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
+    connectionstyle = f"angle,angleA=0,angleB={ang}"
+    kw["arrowprops"].update({"connectionstyle": connectionstyle})
+    ax.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
+                horizontalalignment=horizontalalignment, **kw)
+
+ax.set_title("Matplotlib bakery: A donut")
+
+plt.show()
+
+# %%
+# And here it is, the donut. Note however, that if we were to use this recipe,
+# the ingredients would suffice for around 6 donuts - producing one huge
+# donut is untested and might result in kitchen errors.
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pie` / `matplotlib.pyplot.pie`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#
+# .. tags::
+#
+#    component: label
+#    component: annotation
+#    plot-type: pie
+#    level: beginner
diff --git a/galleries/examples/pie_and_polar_charts/pie_features.py b/galleries/examples/pie_and_polar_charts/pie_features.py
new file mode 100644
index 000000000000..47781a31a373
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/pie_features.py
@@ -0,0 +1,137 @@
+"""
+.. redirect-from:: gallery/pie_and_polar_charts/pie_demo2
+
+==========
+Pie charts
+==========
+
+Demo of plotting a pie chart.
+
+This example illustrates various parameters of `~matplotlib.axes.Axes.pie`.
+"""
+
+# %%
+# Label slices
+# ------------
+#
+# Plot a pie chart of animals and label the slices. To add
+# labels, pass a list of labels to the *labels* parameter
+
+import matplotlib.pyplot as plt
+
+labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
+sizes = [15, 30, 45, 10]
+
+fig, ax = plt.subplots()
+ax.pie(sizes, labels=labels)
+
+# %%
+# Each slice of the pie chart is a `.patches.Wedge` object; therefore in
+# addition to the customizations shown here, each wedge can be customized using
+# the *wedgeprops* argument, as demonstrated in
+# :doc:`/gallery/pie_and_polar_charts/nested_pie`.
+#
+# Auto-label slices
+# -----------------
+#
+# Pass a function or format string to *autopct* to label slices.
+
+fig, ax = plt.subplots()
+ax.pie(sizes, labels=labels, autopct='%1.1f%%')
+
+# %%
+# By default, the label values are obtained from the percent size of the slice.
+#
+# Color slices
+# ------------
+#
+# Pass a list of colors to *colors* to set the color of each slice.
+
+fig, ax = plt.subplots()
+ax.pie(sizes, labels=labels,
+       colors=['olivedrab', 'rosybrown', 'gray', 'saddlebrown'])
+
+# %%
+# Hatch slices
+# ------------
+#
+# Pass a list of hatch patterns to *hatch* to set the pattern of each slice.
+
+fig, ax = plt.subplots()
+ax.pie(sizes, labels=labels, hatch=['**O', 'oO', 'O.O', '.||.'])
+
+# %%
+# Swap label and autopct text positions
+# -------------------------------------
+# Use the *labeldistance* and *pctdistance* parameters to position the *labels*
+# and *autopct* text respectively.
+
+fig, ax = plt.subplots()
+ax.pie(sizes, labels=labels, autopct='%1.1f%%',
+       pctdistance=1.25, labeldistance=.6)
+
+# %%
+# *labeldistance* and *pctdistance* are ratios of the radius; therefore they
+# vary between ``0`` for the center of the pie and ``1`` for the edge of the
+# pie, and can be set to greater than ``1`` to place text outside the pie.
+#
+# Explode, shade, and rotate slices
+# ---------------------------------
+#
+# In addition to the basic pie chart, this demo shows a few optional features:
+#
+# * offsetting a slice using *explode*
+# * add a drop-shadow using *shadow*
+# * custom start angle using *startangle*
+#
+# This example orders the slices, separates (explodes) them, and rotates them.
+
+explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
+
+fig, ax = plt.subplots()
+ax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
+       shadow=True, startangle=90)
+plt.show()
+
+# %%
+# The default *startangle* is 0, which would start the first slice ("Frogs") on
+# the positive x-axis. This example sets ``startangle = 90`` such that all the
+# slices are rotated counter-clockwise by 90 degrees, and the frog slice starts
+# on the positive y-axis.
+#
+# Controlling the size
+# --------------------
+#
+# By changing the *radius* parameter, and often the text size for better visual
+# appearance, the pie chart can be scaled.
+
+fig, ax = plt.subplots()
+
+ax.pie(sizes, labels=labels, autopct='%.0f%%',
+       textprops={'size': 'smaller'}, radius=0.5)
+plt.show()
+
+# %%
+# Modifying the shadow
+# --------------------
+#
+# The *shadow* parameter may optionally take a dictionary with arguments to
+# the `.Shadow` patch. This can be used to modify the default shadow.
+
+fig, ax = plt.subplots()
+ax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
+       shadow={'ox': -0.04, 'edgecolor': 'none', 'shade': 0.9}, startangle=90)
+plt.show()
+
+# %%
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pie` / `matplotlib.pyplot.pie`
+#
+# .. tags::
+#
+#    plot-type: pie
+#    level: beginner
diff --git a/galleries/examples/pie_and_polar_charts/polar_bar.py b/galleries/examples/pie_and_polar_charts/polar_bar.py
new file mode 100644
index 000000000000..a50f18c0917a
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/polar_bar.py
@@ -0,0 +1,41 @@
+"""
+=======================
+Bar chart on polar axis
+=======================
+
+Demo of bar plot on a polar axis.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# Compute pie slices
+N = 20
+theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)
+radii = 10 * np.random.rand(N)
+width = np.pi / 4 * np.random.rand(N)
+colors = plt.colormaps["viridis"](radii / 10.)
+
+ax = plt.subplot(projection='polar')
+ax.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.projections.polar`
+#
+# .. tags::
+#
+#    plot-type: pie
+#    plot-type: bar
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/pie_and_polar_charts/polar_demo.py b/galleries/examples/pie_and_polar_charts/polar_demo.py
new file mode 100644
index 000000000000..e4967079d19d
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/polar_demo.py
@@ -0,0 +1,41 @@
+"""
+==========
+Polar plot
+==========
+
+Demo of a line plot on a polar axis.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+r = np.arange(0, 2, 0.01)
+theta = 2 * np.pi * r
+
+fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
+ax.plot(theta, r)
+ax.set_rmax(2)
+ax.set_rticks([0.5, 1, 1.5, 2])  # Less radial ticks
+ax.set_rlabel_position(-22.5)  # Move radial labels away from plotted line
+ax.grid(True)
+
+ax.set_title("A line plot on a polar axis", va='bottom')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.projections.polar`
+#    - `matplotlib.projections.polar.PolarAxes`
+#    - `matplotlib.projections.polar.PolarAxes.set_rticks`
+#    - `matplotlib.projections.polar.PolarAxes.set_rmax`
+#    - `matplotlib.projections.polar.PolarAxes.set_rlabel_position`
+#
+# .. tags::
+#
+#    plot-type: polar
+#    level: beginner
diff --git a/galleries/examples/pie_and_polar_charts/polar_error_caps.py b/galleries/examples/pie_and_polar_charts/polar_error_caps.py
new file mode 100644
index 000000000000..7f77a2c48834
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/polar_error_caps.py
@@ -0,0 +1,60 @@
+"""
+=================================
+Error bar rendering on polar axis
+=================================
+
+Demo of error bar plot in polar coordinates.
+Theta error bars are curved lines ended with caps oriented towards the
+center.
+Radius error bars are straight lines oriented towards center with
+perpendicular caps.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+theta = np.arange(0, 2 * np.pi, np.pi / 4)
+r = theta / np.pi / 2 + 0.5
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(projection='polar')
+ax.errorbar(theta, r, xerr=0.25, yerr=0.1, capsize=7, fmt="o", c="seagreen")
+ax.set_title("Pretty polar error bars")
+plt.show()
+
+# %%
+# Please acknowledge that large theta error bars will be overlapping.
+# This may reduce readability of the output plot. See example figure below:
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(projection='polar')
+ax.errorbar(theta, r, xerr=5.25, yerr=0.1, capsize=7, fmt="o", c="darkred")
+ax.set_title("Overlapping theta error bars")
+plt.show()
+
+# %%
+# On the other hand, large radius error bars will never overlap, they just
+# lead to unwanted scale in the data, reducing the displayed range.
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(projection='polar')
+ax.errorbar(theta, r, xerr=0.25, yerr=10.1, capsize=7, fmt="o", c="orangered")
+ax.set_title("Large radius error bars")
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
+#    - `matplotlib.projections.polar`
+#
+# .. tags::
+#
+#    component: error
+#    plot-type: errorbar
+#    plot-type: polar
+#    level: beginner
diff --git a/galleries/examples/pie_and_polar_charts/polar_legend.py b/galleries/examples/pie_and_polar_charts/polar_legend.py
new file mode 100644
index 000000000000..cef4bc8ccef6
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/polar_legend.py
@@ -0,0 +1,46 @@
+"""
+============
+Polar legend
+============
+
+Using a legend on a polar-axis plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+ax = fig.add_subplot(projection="polar", facecolor="lightgoldenrodyellow")
+
+r = np.linspace(0, 3, 301)
+theta = 2 * np.pi * r
+ax.plot(theta, r, color="tab:orange", lw=3, label="a line")
+ax.plot(0.5 * theta, r, color="tab:blue", ls="--", lw=3, label="another line")
+ax.tick_params(grid_color="palegoldenrod")
+# For polar Axes, it may be useful to move the legend slightly away from the
+# Axes center, to avoid overlap between the legend and the Axes.  The following
+# snippet places the legend's lower left corner just outside the polar Axes
+# at an angle of 67.5 degrees in polar coordinates.
+angle = np.deg2rad(67.5)
+ax.legend(loc="lower left",
+          bbox_to_anchor=(.5 + np.cos(angle)/2, .5 + np.sin(angle)/2))
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#    - `matplotlib.projections.polar`
+#    - `matplotlib.projections.polar.PolarAxes`
+#
+# .. tags::
+#
+#    component: legend
+#    plot-type: polar
+#    level: beginner
diff --git a/galleries/examples/pie_and_polar_charts/polar_scatter.py b/galleries/examples/pie_and_polar_charts/polar_scatter.py
new file mode 100644
index 000000000000..e3e4c4a87b1e
--- /dev/null
+++ b/galleries/examples/pie_and_polar_charts/polar_scatter.py
@@ -0,0 +1,75 @@
+"""
+==========================
+Scatter plot on polar axis
+==========================
+
+Size increases radially in this example and color increases with angle
+(just to verify the symbols are being scattered correctly).
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# Compute areas and colors
+N = 150
+r = 2 * np.random.rand(N)
+theta = 2 * np.pi * np.random.rand(N)
+area = 200 * r**2
+colors = theta
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='polar')
+c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
+
+# %%
+# Scatter plot on polar axis, with offset origin
+# ----------------------------------------------
+#
+# The main difference with the previous plot is the configuration of the origin
+# radius, producing an annulus. Additionally, the theta zero location is set to
+# rotate the plot.
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='polar')
+c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
+
+ax.set_rorigin(-2.5)
+ax.set_theta_zero_location('W', offset=10)
+
+# %%
+# Scatter plot on polar axis confined to a sector
+# -----------------------------------------------
+#
+# The main difference with the previous plots is the configuration of the
+# theta start and end limits, producing a sector instead of a full circle.
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='polar')
+c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
+
+ax.set_thetamin(45)
+ax.set_thetamax(135)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`
+#    - `matplotlib.projections.polar`
+#    - `matplotlib.projections.polar.PolarAxes.set_rorigin`
+#    - `matplotlib.projections.polar.PolarAxes.set_theta_zero_location`
+#    - `matplotlib.projections.polar.PolarAxes.set_thetamin`
+#    - `matplotlib.projections.polar.PolarAxes.set_thetamax`
+#
+# .. tags::
+#
+#    plot-type: polar
+#    plot-type: scatter
+#    level: beginner
diff --git a/galleries/examples/pyplots/README.txt b/galleries/examples/pyplots/README.txt
new file mode 100644
index 000000000000..493618b19e6c
--- /dev/null
+++ b/galleries/examples/pyplots/README.txt
@@ -0,0 +1,4 @@
+.. _pyplots_examples:
+
+Module - pyplot
+===============
diff --git a/doc/pyplots/matplotlibrc b/galleries/examples/pyplots/matplotlibrc
similarity index 100%
rename from doc/pyplots/matplotlibrc
rename to galleries/examples/pyplots/matplotlibrc
diff --git a/galleries/examples/pyplots/pyplot_simple.py b/galleries/examples/pyplots/pyplot_simple.py
new file mode 100644
index 000000000000..48a862c7fee3
--- /dev/null
+++ b/galleries/examples/pyplots/pyplot_simple.py
@@ -0,0 +1,29 @@
+"""
+===========
+Simple plot
+===========
+
+A simple plot where a list of numbers are plotted against their index,
+resulting in a straight line. Use a format string (here, 'o-r') to set the
+markers (circles), linestyle (solid line) and color (red).
+
+.. redirect-from:: /gallery/pyplots/fig_axes_labels_simple
+.. redirect-from:: /gallery/pyplots/pyplot_formatstr
+"""
+
+import matplotlib.pyplot as plt
+
+plt.plot([1, 2, 3, 4], 'o-r')
+plt.ylabel('some numbers')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.plot`
+#    - `matplotlib.pyplot.ylabel`
+#    - `matplotlib.pyplot.show`
diff --git a/galleries/examples/pyplots/pyplot_text.py b/galleries/examples/pyplots/pyplot_text.py
new file mode 100644
index 000000000000..72f977c2f985
--- /dev/null
+++ b/galleries/examples/pyplots/pyplot_text.py
@@ -0,0 +1,41 @@
+"""
+==============================
+Text and mathtext using pyplot
+==============================
+
+Set the special text objects `~.pyplot.title`, `~.pyplot.xlabel`, and
+`~.pyplot.ylabel` through the dedicated pyplot functions.  Additional text
+objects can be placed in the Axes using `~.pyplot.text`.
+
+You can use TeX-like mathematical typesetting in all texts; see also
+:ref:`mathtext`.
+
+.. redirect-from:: /gallery/pyplots/pyplot_mathtext
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2.0, 0.01)
+s = np.sin(2*np.pi*t)
+
+plt.plot(t, s)
+plt.text(0, -1, r'Hello, world!', fontsize=15)
+plt.title(r'$\mathcal{A}\sin(\omega t)$', fontsize=20)
+plt.xlabel('Time [s]')
+plt.ylabel('Voltage [mV]')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.hist`
+#    - `matplotlib.pyplot.xlabel`
+#    - `matplotlib.pyplot.ylabel`
+#    - `matplotlib.pyplot.text`
+#    - `matplotlib.pyplot.grid`
+#    - `matplotlib.pyplot.show`
diff --git a/galleries/examples/pyplots/pyplot_three.py b/galleries/examples/pyplots/pyplot_three.py
new file mode 100644
index 000000000000..b14998cca4c9
--- /dev/null
+++ b/galleries/examples/pyplots/pyplot_three.py
@@ -0,0 +1,26 @@
+"""
+===========================
+Multiple lines using pyplot
+===========================
+
+Plot three datasets with a single call to `~matplotlib.pyplot.plot`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# evenly sampled time at 200ms intervals
+t = np.arange(0., 5., 0.2)
+
+# red dashes, blue squares and green triangles
+plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
diff --git a/galleries/examples/pyplots/pyplot_two_subplots.py b/galleries/examples/pyplots/pyplot_two_subplots.py
new file mode 100644
index 000000000000..2eb0237d5521
--- /dev/null
+++ b/galleries/examples/pyplots/pyplot_two_subplots.py
@@ -0,0 +1,37 @@
+"""
+=========================
+Two subplots using pyplot
+=========================
+
+Create a figure with two subplots using `.pyplot.subplot`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def f(t):
+    return np.exp(-t) * np.cos(2*np.pi*t)
+
+
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+
+plt.figure()
+plt.subplot(211)
+plt.plot(t1, f(t1), color='tab:blue', marker='o')
+plt.plot(t2, f(t2), color='black')
+
+plt.subplot(212)
+plt.plot(t2, np.cos(2*np.pi*t2), color='tab:orange', linestyle='--')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.figure`
+#    - `matplotlib.pyplot.subplot`
diff --git a/galleries/examples/scales/README.txt b/galleries/examples/scales/README.txt
new file mode 100644
index 000000000000..031fe9c7834b
--- /dev/null
+++ b/galleries/examples/scales/README.txt
@@ -0,0 +1,6 @@
+.. _scales_examples:
+
+Scales
+======
+
+These examples cover how different scales are handled in Matplotlib.
diff --git a/galleries/examples/scales/asinh_demo.py b/galleries/examples/scales/asinh_demo.py
new file mode 100644
index 000000000000..bc8b010c47ce
--- /dev/null
+++ b/galleries/examples/scales/asinh_demo.py
@@ -0,0 +1,109 @@
+"""
+===========
+Asinh scale
+===========
+
+Illustration of the `asinh <.scale.AsinhScale>` axis scaling,
+which uses the transformation
+
+.. math::
+
+    a \\rightarrow a_0 \\sinh^{-1} (a / a_0)
+
+For coordinate values close to zero (i.e. much smaller than
+the "linear width" :math:`a_0`), this leaves values essentially unchanged:
+
+.. math::
+
+    a \\rightarrow a + \\mathcal{O}(a^3)
+
+but for larger values (i.e. :math:`|a| \\gg a_0`, this is asymptotically
+
+.. math::
+
+    a \\rightarrow a_0 \\, \\mathrm{sgn}(a) \\ln |a| + \\mathcal{O}(1)
+
+As with the `symlog <.scale.SymmetricalLogScale>` scaling,
+this allows one to plot quantities
+that cover a very wide dynamic range that includes both positive
+and negative values. However, ``symlog`` involves a transformation
+that has discontinuities in its gradient because it is built
+from *separate* linear and logarithmic transformations.
+The ``asinh`` scaling uses a transformation that is smooth
+for all (finite) values, which is both mathematically cleaner
+and reduces visual artifacts associated with an abrupt
+transition between linear and logarithmic regions of the plot.
+
+.. note::
+   `.scale.AsinhScale` is experimental, and the API may change.
+
+See `~.scale.AsinhScale`, `~.scale.SymmetricalLogScale`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Prepare sample values for variations on y=x graph:
+x = np.linspace(-3, 6, 500)
+
+# %%
+# Compare "symlog" and "asinh" behaviour on sample y=x graph,
+# where there is a discontinuous gradient in "symlog" near y=2:
+fig1 = plt.figure()
+ax0, ax1 = fig1.subplots(1, 2, sharex=True)
+
+ax0.plot(x, x)
+ax0.set_yscale('symlog')
+ax0.grid()
+ax0.set_title('symlog')
+
+ax1.plot(x, x)
+ax1.set_yscale('asinh')
+ax1.grid()
+ax1.set_title('asinh')
+
+
+# %%
+# Compare "asinh" graphs with different scale parameter "linear_width":
+fig2 = plt.figure(layout='constrained')
+axs = fig2.subplots(1, 3, sharex=True)
+for ax, (a0, base) in zip(axs, ((0.2, 2), (1.0, 0), (5.0, 10))):
+    ax.set_title(f'linear_width={a0:.3g}')
+    ax.plot(x, x, label='y=x')
+    ax.plot(x, 10*x, label='y=10x')
+    ax.plot(x, 100*x, label='y=100x')
+    ax.set_yscale('asinh', linear_width=a0, base=base)
+    ax.grid()
+    ax.legend(loc='best', fontsize='small')
+
+
+# %%
+# Compare "symlog" and "asinh" scalings
+# on 2D Cauchy-distributed random numbers,
+# where one may be able to see more subtle artifacts near y=2
+# due to the gradient-discontinuity in "symlog":
+fig3 = plt.figure()
+ax = fig3.subplots(1, 1)
+r = 3 * np.tan(np.random.uniform(-np.pi / 2.02, np.pi / 2.02,
+                                 size=(5000,)))
+th = np.random.uniform(0, 2*np.pi, size=r.shape)
+
+ax.scatter(r * np.cos(th), r * np.sin(th), s=4, alpha=0.5)
+ax.set_xscale('asinh')
+ax.set_yscale('symlog')
+ax.set_xlabel('asinh')
+ax.set_ylabel('symlog')
+ax.set_title('2D Cauchy random deviates')
+ax.set_xlim(-50, 50)
+ax.set_ylim(-50, 50)
+ax.grid()
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    - `matplotlib.scale.AsinhScale`
+#    - `matplotlib.ticker.AsinhLocator`
+#    - `matplotlib.scale.SymmetricalLogScale`
diff --git a/examples/pylab_examples/aspect_loglog.py b/galleries/examples/scales/aspect_loglog.py
similarity index 89%
rename from examples/pylab_examples/aspect_loglog.py
rename to galleries/examples/scales/aspect_loglog.py
index 8d02b0724708..420721b9b411 100644
--- a/examples/pylab_examples/aspect_loglog.py
+++ b/galleries/examples/scales/aspect_loglog.py
@@ -1,3 +1,9 @@
+"""
+=============
+Loglog aspect
+=============
+
+"""
 import matplotlib.pyplot as plt
 
 fig, (ax1, ax2) = plt.subplots(1, 2)
@@ -17,5 +23,4 @@
 ax2.set_aspect(1)
 ax2.set_title("adjustable = datalim")
 
-plt.draw()
 plt.show()
diff --git a/galleries/examples/scales/custom_scale.py b/galleries/examples/scales/custom_scale.py
new file mode 100644
index 000000000000..0eedb16ec5cf
--- /dev/null
+++ b/galleries/examples/scales/custom_scale.py
@@ -0,0 +1,184 @@
+"""
+.. _custom_scale:
+
+============
+Custom scale
+============
+
+Custom scales can be created in two ways
+
+#. For simple cases, use `~.scale.FuncScale` and the ``'function'`` option of
+   `~.Axes.set_xscale` and `~.Axes.set_yscale`.  See the last example in
+   :doc:`/gallery/scales/scales`.
+
+#. Create a custom scale class such as the one in this example, which implements
+   the scaling use for latitude data in a Mercator Projection.  This more complicated
+   approach is useful when
+
+   * You are making special use of the `.Transform` class, such as the special
+     handling of values beyond the threshold in ``MercatorLatitudeTransform``
+     below.
+
+   * You want to override the default locators and formatters for the axis
+     (``set_default_locators_and_formatters`` below).
+
+   * You want to limit the range of the the axis (``limit_range_for_scale`` below).
+
+"""
+
+import numpy as np
+from numpy import ma
+
+from matplotlib import scale as mscale
+from matplotlib import transforms as mtransforms
+from matplotlib.ticker import FixedLocator, FuncFormatter
+
+
+class MercatorLatitudeScale(mscale.ScaleBase):
+    """
+    Scales data in range -pi/2 to pi/2 (-90 to 90 degrees) using
+    the system used to scale latitudes in a Mercator__ projection.
+
+    The scale function:
+      ln(tan(y) + sec(y))
+
+    The inverse scale function:
+      atan(sinh(y))
+
+    Since the Mercator scale tends to infinity at +/- 90 degrees,
+    there is user-defined threshold, above and below which nothing
+    will be plotted.  This defaults to +/- 85 degrees.
+
+    __ https://en.wikipedia.org/wiki/Mercator_projection
+    """
+
+    # The scale class must have a member ``name`` that defines the string used
+    # to select the scale.  For example, ``ax.set_yscale("mercator")`` would be
+    # used to select this scale.
+    name = 'mercator'
+
+    def __init__(self, axis, *, thresh=np.deg2rad(85), **kwargs):
+        """
+        Any keyword arguments passed to ``set_xscale`` and ``set_yscale`` will
+        be passed along to the scale's constructor.
+
+        thresh: The degree above which to crop the data.
+        """
+        super().__init__(axis)
+        if thresh >= np.pi / 2:
+            raise ValueError("thresh must be less than pi/2")
+        self.thresh = thresh
+
+    def get_transform(self):
+        """
+        Override this method to return a new instance that does the
+        actual transformation of the data.
+
+        The MercatorLatitudeTransform class is defined below as a
+        nested class of this one.
+        """
+        return self.MercatorLatitudeTransform(self.thresh)
+
+    def set_default_locators_and_formatters(self, axis):
+        """
+        Override to set up the locators and formatters to use with the
+        scale.  This is only required if the scale requires custom
+        locators and formatters.  Writing custom locators and
+        formatters is rather outside the scope of this example, but
+        there are many helpful examples in :mod:`.ticker`.
+
+        In our case, the Mercator example uses a fixed locator from -90 to 90
+        degrees and a custom formatter to convert the radians to degrees and
+        put a degree symbol after the value.
+        """
+        fmt = FuncFormatter(
+            lambda x, pos=None: f"{np.degrees(x):.0f}\N{DEGREE SIGN}")
+        axis.set(major_locator=FixedLocator(np.radians(range(-90, 90, 10))),
+                 major_formatter=fmt, minor_formatter=fmt)
+
+    def limit_range_for_scale(self, vmin, vmax, minpos):
+        """
+        Override to limit the bounds of the axis to the domain of the
+        transform.  In the case of Mercator, the bounds should be
+        limited to the threshold that was passed in.  Unlike the
+        autoscaling provided by the tick locators, this range limiting
+        will always be adhered to, whether the axis range is set
+        manually, determined automatically or changed through panning
+        and zooming.
+        """
+        return max(vmin, -self.thresh), min(vmax, self.thresh)
+
+    class MercatorLatitudeTransform(mtransforms.Transform):
+        # There are two value members that must be defined.
+        # ``input_dims`` and ``output_dims`` specify number of input
+        # dimensions and output dimensions to the transformation.
+        # These are used by the transformation framework to do some
+        # error checking and prevent incompatible transformations from
+        # being connected together.  When defining transforms for a
+        # scale, which are, by definition, separable and have only one
+        # dimension, these members should always be set to 1.
+        input_dims = output_dims = 1
+
+        def __init__(self, thresh):
+            mtransforms.Transform.__init__(self)
+            self.thresh = thresh
+
+        def transform_non_affine(self, a):
+            """
+            This transform takes a numpy array and returns a transformed copy.
+            Since the range of the Mercator scale is limited by the
+            user-specified threshold, the input array must be masked to
+            contain only valid values.  Matplotlib will handle masked arrays
+            and remove the out-of-range data from the plot.  However, the
+            returned array *must* have the same shape as the input array, since
+            these values need to remain synchronized with values in the other
+            dimension.
+            """
+            masked = ma.masked_where((a < -self.thresh) | (a > self.thresh), a)
+            if masked.mask.any():
+                return ma.log(np.abs(ma.tan(masked) + 1 / ma.cos(masked)))
+            else:
+                return np.log(np.abs(np.tan(a) + 1 / np.cos(a)))
+
+        def inverted(self):
+            """
+            Override this method so Matplotlib knows how to get the
+            inverse transform for this transform.
+            """
+            return MercatorLatitudeScale.InvertedMercatorLatitudeTransform(
+                self.thresh)
+
+    class InvertedMercatorLatitudeTransform(mtransforms.Transform):
+        input_dims = output_dims = 1
+
+        def __init__(self, thresh):
+            mtransforms.Transform.__init__(self)
+            self.thresh = thresh
+
+        def transform_non_affine(self, a):
+            return np.arctan(np.sinh(a))
+
+        def inverted(self):
+            return MercatorLatitudeScale.MercatorLatitudeTransform(self.thresh)
+
+
+# Now that the Scale class has been defined, it must be registered so
+# that Matplotlib can find it.
+mscale.register_scale(MercatorLatitudeScale)
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    t = np.arange(-180.0, 180.0, 0.1)
+    s = np.radians(t)/2.
+
+    plt.plot(t, s, '-', lw=2)
+    plt.yscale('mercator')
+
+    plt.xlabel('Longitude')
+    plt.ylabel('Latitude')
+    plt.title('Mercator projection')
+    plt.grid(True)
+
+    plt.show()
diff --git a/galleries/examples/scales/log_demo.py b/galleries/examples/scales/log_demo.py
new file mode 100644
index 000000000000..ce0c77551c0a
--- /dev/null
+++ b/galleries/examples/scales/log_demo.py
@@ -0,0 +1,83 @@
+"""
+=========
+Log scale
+=========
+
+Examples of plots with logarithmic axes.
+
+You can set the x/y axes to be logarithmic by passing "log" to `~.Axes.set_xscale` /
+`~.Axes.set_yscale`.
+
+Convenience functions ``semilogx``, ``semilogy``, and ``loglog``
+----------------------------------------------------------------
+Since plotting data on semi-logarithmic or double-logarithmic scales is very common,
+the functions `~.Axes.semilogx`, `~.Axes.semilogy`, and `~.Axes.loglog` are shortcuts
+for setting the scale and plotting data; e.g. ``ax.semilogx(x, y)`` is equivalent to
+``ax.set_xscale('log'); ax.plot(x, y)``.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, (ax1, ax2, ax3) = plt.subplots(1, 3, layout='constrained', figsize=(7, 7/3))
+# log x axis
+t = np.arange(0.01, 10.0, 0.01)
+ax1.semilogx(t, np.sin(2 * np.pi * t))
+ax1.set(title='semilogx')
+ax1.grid()
+ax1.grid(which="minor", color="0.9")
+
+# log y axis
+x = np.arange(4)
+ax2.semilogy(4*x, 10**x, 'o--')
+ax2.set(title='semilogy')
+ax2.grid()
+ax2.grid(which="minor", color="0.9")
+
+# log x and y axis
+x = np.array([1, 10, 100, 1000])
+ax3.loglog(x, 5 * x, 'o--')
+ax3.set(title='loglog')
+ax3.grid()
+ax3.grid(which="minor", color="0.9")
+
+# %%
+# Logarithms with other bases
+# ---------------------------
+# By default, the log scale is to the base 10. One can change this via the *base*
+# parameter.
+fig, ax = plt.subplots()
+ax.bar(["L1 cache", "L2 cache", "L3 cache", "RAM", "SSD"],
+       [32, 1_000, 32_000, 16_000_000, 512_000_000])
+ax.set_yscale('log', base=2)
+ax.set_yticks([1, 2**10, 2**20, 2**30], labels=['kB', 'MB', 'GB', 'TB'])
+ax.set_title("Typical memory sizes")
+ax.yaxis.grid()
+
+# %%
+# Dealing with negative values
+# ----------------------------
+# Non-positive values cannot be displayed on a log scale. The scale has two options
+# to handle these. Either mask the values so that they are ignored, or clip them
+# to a small positive value. Which one is more suited depends on the type of the
+# data and the visualization.
+#
+# The following example contains errorbars going negative. If we mask these values,
+# the bar vanishes, which is not desirable. In contrast, clipping makes the value
+# small positive (but well below the used scale) so that the error bar is drawn
+# to the edge of the Axes.
+x = np.linspace(0.0, 2.0, 10)
+y = 10**x
+yerr = 1.75 + 0.75*y
+
+fig, (ax1, ax2) = plt.subplots(1, 2, layout="constrained", figsize=(6, 3))
+fig.suptitle("errorbars going negative")
+ax1.set_yscale("log", nonpositive='mask')
+ax1.set_title('nonpositive="mask"')
+ax1.errorbar(x, y, yerr=yerr, fmt='o', capsize=5)
+
+ax2.set_yscale("log", nonpositive='clip')
+ax2.set_title('nonpositive="clip"')
+ax2.errorbar(x, y, yerr=yerr, fmt='o', capsize=5)
+
+plt.show()
diff --git a/galleries/examples/scales/logit_demo.py b/galleries/examples/scales/logit_demo.py
new file mode 100644
index 000000000000..e8d42fc35711
--- /dev/null
+++ b/galleries/examples/scales/logit_demo.py
@@ -0,0 +1,75 @@
+"""
+===========
+Logit scale
+===========
+
+Examples of plots with logit axes.
+
+This example visualises how ``set_yscale("logit")`` works on probability plots
+by generating three distributions: normal, laplacian, and cauchy in one plot.
+
+The advantage of logit scale is that it effectively spreads out values close to 0 and 1.
+
+In a linear scale plot, probability values near 0 and 1 appear compressed,
+making it difficult to see differences in those regions.
+
+In a logit scale plot, the transformation expands these regions,
+making the graph cleaner and easier to compare across different probability values.
+
+This makes the logit scale especially useful when visalising probabilities in logistic
+regression, classification models, and cumulative distribution functions.
+"""
+
+import math
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+xmax = 10
+x = np.linspace(-xmax, xmax, 10000)
+cdf_norm = [math.erf(w / np.sqrt(2)) / 2 + 1 / 2 for w in x]
+cdf_laplacian = np.where(x < 0, 1 / 2 * np.exp(x), 1 - 1 / 2 * np.exp(-x))
+cdf_cauchy = np.arctan(x) / np.pi + 1 / 2
+
+fig, axs = plt.subplots(nrows=3, ncols=2, figsize=(6.4, 8.5))
+
+# Common part, for the example, we will do the same plots on all graphs
+for i in range(3):
+    for j in range(2):
+        axs[i, j].plot(x, cdf_norm, label=r"$\mathcal{N}$")
+        axs[i, j].plot(x, cdf_laplacian, label=r"$\mathcal{L}$")
+        axs[i, j].plot(x, cdf_cauchy, label="Cauchy")
+        axs[i, j].legend()
+        axs[i, j].grid()
+
+# First line, logitscale, with standard notation
+axs[0, 0].set(title="logit scale")
+axs[0, 0].set_yscale("logit")
+axs[0, 0].set_ylim(1e-5, 1 - 1e-5)
+
+axs[0, 1].set(title="logit scale")
+axs[0, 1].set_yscale("logit")
+axs[0, 1].set_xlim(0, xmax)
+axs[0, 1].set_ylim(0.8, 1 - 5e-3)
+
+# Second line, logitscale, with survival notation (with `use_overline`), and
+# other format display 1/2
+axs[1, 0].set(title="logit scale")
+axs[1, 0].set_yscale("logit", one_half="1/2", use_overline=True)
+axs[1, 0].set_ylim(1e-5, 1 - 1e-5)
+
+axs[1, 1].set(title="logit scale")
+axs[1, 1].set_yscale("logit", one_half="1/2", use_overline=True)
+axs[1, 1].set_xlim(0, xmax)
+axs[1, 1].set_ylim(0.8, 1 - 5e-3)
+
+# Third line, linear scale
+axs[2, 0].set(title="linear scale")
+axs[2, 0].set_ylim(0, 1)
+
+axs[2, 1].set(title="linear scale")
+axs[2, 1].set_xlim(0, xmax)
+axs[2, 1].set_ylim(0.8, 1)
+
+fig.tight_layout()
+plt.show()
diff --git a/galleries/examples/scales/power_norm.py b/galleries/examples/scales/power_norm.py
new file mode 100644
index 000000000000..e53e015393b0
--- /dev/null
+++ b/galleries/examples/scales/power_norm.py
@@ -0,0 +1,49 @@
+"""
+========================
+Exploring normalizations
+========================
+
+Various normalization on a multivariate normal distribution.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+from numpy.random import multivariate_normal
+
+import matplotlib.colors as mcolors
+
+# Fixing random state for reproducibility.
+np.random.seed(19680801)
+
+data = np.vstack([
+    multivariate_normal([10, 10], [[3, 2], [2, 3]], size=100000),
+    multivariate_normal([30, 20], [[3, 1], [1, 3]], size=1000)
+])
+
+gammas = [0.8, 0.5, 0.3]
+
+fig, axs = plt.subplots(nrows=2, ncols=2)
+
+axs[0, 0].set_title('Linear normalization')
+axs[0, 0].hist2d(data[:, 0], data[:, 1], bins=100)
+
+for ax, gamma in zip(axs.flat[1:], gammas):
+    ax.set_title(r'Power law $(\gamma=%1.1f)$' % gamma)
+    ax.hist2d(data[:, 0], data[:, 1], bins=100, norm=mcolors.PowerNorm(gamma))
+
+fig.tight_layout()
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colors`
+#    - `matplotlib.colors.PowerNorm`
+#    - `matplotlib.axes.Axes.hist2d`
+#    - `matplotlib.pyplot.hist2d`
diff --git a/galleries/examples/scales/scales.py b/galleries/examples/scales/scales.py
new file mode 100644
index 000000000000..6c4556c9c1d3
--- /dev/null
+++ b/galleries/examples/scales/scales.py
@@ -0,0 +1,76 @@
+"""
+===============
+Scales overview
+===============
+
+Illustrate the scale transformations applied to axes, e.g. log, symlog, logit.
+
+See `matplotlib.scale` for a full list of built-in scales, and
+:doc:`/gallery/scales/custom_scale` for how to create your own scale.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(400)
+y = np.linspace(0.002, 1, 400)
+
+fig, axs = plt.subplots(3, 2, figsize=(6, 8), layout='constrained')
+
+axs[0, 0].plot(x, y)
+axs[0, 0].set_yscale('linear')
+axs[0, 0].set_title('linear')
+axs[0, 0].grid(True)
+
+axs[0, 1].plot(x, y)
+axs[0, 1].set_yscale('log')
+axs[0, 1].set_title('log')
+axs[0, 1].grid(True)
+
+axs[1, 0].plot(x, y - y.mean())
+axs[1, 0].set_yscale('symlog', linthresh=0.02)
+axs[1, 0].set_title('symlog')
+axs[1, 0].grid(True)
+
+axs[1, 1].plot(x, y)
+axs[1, 1].set_yscale('logit')
+axs[1, 1].set_title('logit')
+axs[1, 1].grid(True)
+
+axs[2, 0].plot(x, y - y.mean())
+axs[2, 0].set_yscale('asinh', linear_width=0.01)
+axs[2, 0].set_title('asinh')
+axs[2, 0].grid(True)
+
+
+# Function x**(1/2)
+def forward(x):
+    return x**(1/2)
+
+
+def inverse(x):
+    return x**2
+
+
+axs[2, 1].plot(x, y)
+axs[2, 1].set_yscale('function', functions=(forward, inverse))
+axs[2, 1].set_title('function: $x^{1/2}$')
+axs[2, 1].grid(True)
+axs[2, 1].set_yticks(np.arange(0, 1.2, 0.2))
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.set_xscale`
+#    - `matplotlib.axes.Axes.set_yscale`
+#    - `matplotlib.scale.LinearScale`
+#    - `matplotlib.scale.LogScale`
+#    - `matplotlib.scale.SymmetricalLogScale`
+#    - `matplotlib.scale.LogitScale`
+#    - `matplotlib.scale.FuncScale`
diff --git a/galleries/examples/scales/symlog_demo.py b/galleries/examples/scales/symlog_demo.py
new file mode 100644
index 000000000000..47742b853cc9
--- /dev/null
+++ b/galleries/examples/scales/symlog_demo.py
@@ -0,0 +1,123 @@
+"""
+============
+Symlog scale
+============
+
+The symmetric logarithmic scale is an extension of the logarithmic scale that
+also covers negative values. As with the logarithmic scale, it is particularly
+useful for numerical data that spans a broad range of values, especially when there
+are significant differences between the magnitudes of the numbers involved.
+
+Example use of symlog (symmetric log) axis scaling.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+dt = 0.01
+x = np.arange(-50.0, 50.0, dt)
+y = np.arange(0, 100.0, dt)
+
+fig, (ax0, ax1, ax2) = plt.subplots(nrows=3)
+
+ax0.plot(x, y)
+ax0.set_xscale('symlog')
+ax0.set_ylabel('symlogx')
+ax0.grid()
+ax0.xaxis.grid(which='minor')  # minor grid on too
+
+ax1.plot(y, x)
+ax1.set_yscale('symlog')
+ax1.set_ylabel('symlogy')
+
+ax2.plot(x, np.sin(x / 3.0))
+ax2.set_xscale('symlog')
+ax2.set_yscale('symlog', linthresh=0.015)
+ax2.grid()
+ax2.set_ylabel('symlog both')
+
+fig.tight_layout()
+plt.show()
+
+# %%
+# Linear threshold
+# ----------------
+# Since each decade on a logarithmic scale covers the same amount of visual space
+# and there are infinitely many decades between a given number and zero, the symlog
+# scale must deviate from logarithmic mapping in a small range
+# *(-linthresh, linthresh)*, so that the range is mapped to a finite visual space.
+
+
+def format_axes(ax, title=None):
+    """A helper function to better visualize properties of the symlog scale."""
+    ax.xaxis.get_minor_locator().set_params(subs=[2, 3, 4, 5, 6, 7, 8, 9])
+    ax.grid()
+    ax.xaxis.grid(which='minor')  # minor grid on too
+    linthresh = ax.xaxis.get_transform().linthresh
+    linscale = ax.xaxis.get_transform().linscale
+    ax.axvspan(-linthresh, linthresh, color='0.9')
+    if title:
+        ax.set_title(title.format(linthresh=linthresh, linscale=linscale))
+
+
+x = np.linspace(-60, 60, 201)
+y = np.linspace(0, 100.0, 201)
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, layout="constrained")
+
+ax1.plot(x, y)
+ax1.set_xscale('symlog', linthresh=1)
+format_axes(ax1, title='Linear region: linthresh={linthresh}')
+
+ax2.plot(x, y)
+ax2.set_xscale('symlog', linthresh=5)
+format_axes(ax2, title='Linear region: linthresh={linthresh}')
+
+# %%
+# Generally, *linthresh* should be chosen so that no or only a few
+# data points are in the linear region. As a rule of thumb,
+# :math:`linthresh \approx \mathrm{min} |x|`.
+#
+#
+# Linear scale
+# ------------
+# Additionally, the *linscale* parameter determines how much visual space should be
+# used for the linear range. More precisely, it defines the ratio of visual space
+# of the region (0, linthresh) relative to one decade.
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, layout="constrained")
+
+ax1.plot(x, y)
+ax1.set_xscale('symlog', linthresh=1)
+format_axes(ax1, title='Linear region: linthresh={linthresh}, linscale={linscale}')
+
+ax2.plot(x, y)
+ax2.set_xscale('symlog', linthresh=1, linscale=0.1)
+format_axes(ax2, title='Linear region: linthresh={linthresh}, linscale={linscale}')
+
+# %%
+# The suitable value for linscale depends on the dynamic range of data. As most data
+# will be outside the linear region, you typically the linear region only to cover
+# a small fraction of the visual area.
+#
+# Limitations and alternatives
+# ----------------------------
+# The coordinate transform used by ``symlog`` has a discontinuous gradient at the
+# transition between its linear and logarithmic regions. Depending on data and
+# scaling, this will be more or less obvious in the plot.
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_xscale('symlog', linscale=0.05)
+format_axes(ax, title="Discontinuous gradient at linear/log transition")
+
+# %%
+# The ``asinh`` axis scale is an alternative transformation that supports a wide
+# dynamic range with a smooth gradient and thus may avoid such visual artifacts.
+# See :doc:`/gallery/scales/asinh_demo`.
+#
+#
+# .. admonition:: References
+#
+#    - `matplotlib.scale.SymmetricalLogScale`
+#    - `matplotlib.ticker.SymmetricalLogLocator`
+#    - `matplotlib.scale.AsinhScale`
diff --git a/galleries/examples/shapes_and_collections/README.txt b/galleries/examples/shapes_and_collections/README.txt
new file mode 100644
index 000000000000..bce3cbe038e3
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/README.txt
@@ -0,0 +1,5 @@
+.. _shapes_and_collections_examples:
+
+
+Shapes and collections
+======================
diff --git a/galleries/examples/shapes_and_collections/arrow_guide.py b/galleries/examples/shapes_and_collections/arrow_guide.py
new file mode 100644
index 000000000000..d9fad893a873
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/arrow_guide.py
@@ -0,0 +1,127 @@
+"""
+===========
+Arrow guide
+===========
+
+Adding arrow patches to plots.
+
+Arrows are often used to annotate plots. This tutorial shows how to plot arrows
+that behave differently when the data limits on a plot are changed. In general,
+points on a plot can either be fixed in "data space" or "display space".
+Something plotted in data space moves when the data limits are altered - an
+example would be the points in a scatter plot. Something plotted in display
+space stays static when data limits are altered - an example would be a
+figure title or the axis labels.
+
+Arrows consist of a head (and possibly a tail) and a stem drawn between a
+start point and end point, called 'anchor points' from now on.
+Here we show three use cases for plotting arrows, depending on whether the
+head or anchor points need to be fixed in data or display space:
+
+1. Head shape fixed in display space, anchor points fixed in data space
+2. Head shape and anchor points fixed in display space
+3. Entire patch fixed in data space
+
+Below each use case is presented in turn.
+
+.. redirect-from:: /gallery/text_labels_and_annotations/arrow_simple_demo
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as mpatches
+
+x_tail = 0.1
+y_tail = 0.5
+x_head = 0.9
+y_head = 0.8
+dx = x_head - x_tail
+dy = y_head - y_tail
+
+
+# %%
+# Head shape fixed in display space and anchor points fixed in data space
+# -----------------------------------------------------------------------
+#
+# This is useful if you are annotating a plot, and don't want the arrow
+# to change shape or position if you pan or scale the plot.
+#
+# In this case we use `.patches.FancyArrowPatch`.
+#
+# Note that when the axis limits are changed, the arrow shape stays the same,
+# but the anchor points move.
+
+fig, axs = plt.subplots(nrows=2)
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (x_head, y_head),
+                                 mutation_scale=100)
+axs[0].add_patch(arrow)
+
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (x_head, y_head),
+                                 mutation_scale=100)
+axs[1].add_patch(arrow)
+axs[1].set(xlim=(0, 2), ylim=(0, 2))
+
+# %%
+# Head shape and anchor points fixed in display space
+# ---------------------------------------------------
+#
+# This is useful if you are annotating a plot, and don't want the arrow to
+# change shape or position if you pan or scale the plot.
+#
+# In this case we use `.patches.FancyArrowPatch`, and pass the keyword argument
+# ``transform=ax.transAxes`` where ``ax`` is the Axes we are adding the patch
+# to.
+#
+# Note that when the axis limits are changed, the arrow shape and location
+# stay the same.
+
+fig, axs = plt.subplots(nrows=2)
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (x_head, y_head),
+                                 mutation_scale=100,
+                                 transform=axs[0].transAxes)
+axs[0].add_patch(arrow)
+
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (x_head, y_head),
+                                 mutation_scale=100,
+                                 transform=axs[1].transAxes)
+axs[1].add_patch(arrow)
+axs[1].set(xlim=(0, 2), ylim=(0, 2))
+
+
+# %%
+# Head shape and anchor points fixed in data space
+# ------------------------------------------------
+#
+# In this case we use `.patches.Arrow`, or `.patches.FancyArrow` (the latter is
+# in orange).
+#
+# Note that when the axis limits are changed, the arrow shape and location
+# change.
+#
+# `.FancyArrow`'s API is relatively awkward, and requires in particular passing
+# ``length_includes_head=True`` so that the arrow *tip* is ``(dx, dy)`` away
+# from the arrow start.  It is only included in this reference because it is
+# the arrow class returned by `.Axes.arrow` (in green).
+
+fig, axs = plt.subplots(nrows=2)
+
+arrow = mpatches.Arrow(x_tail, y_tail, dx, dy)
+axs[0].add_patch(arrow)
+arrow = mpatches.FancyArrow(x_tail, y_tail - .4, dx, dy,
+                            width=.1, length_includes_head=True, color="C1")
+axs[0].add_patch(arrow)
+axs[0].arrow(x_tail + 1, y_tail - .4, dx, dy,
+             width=.1, length_includes_head=True, color="C2")
+
+arrow = mpatches.Arrow(x_tail, y_tail, dx, dy)
+axs[1].add_patch(arrow)
+arrow = mpatches.FancyArrow(x_tail, y_tail - .4, dx, dy,
+                            width=.1, length_includes_head=True, color="C1")
+axs[1].add_patch(arrow)
+axs[1].arrow(x_tail + 1, y_tail - .4, dx, dy,
+             width=.1, length_includes_head=True, color="C2")
+axs[1].set(xlim=(0, 2), ylim=(0, 2))
+
+# %%
+
+plt.show()
diff --git a/galleries/examples/shapes_and_collections/artist_reference.py b/galleries/examples/shapes_and_collections/artist_reference.py
new file mode 100644
index 000000000000..048018a9898e
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/artist_reference.py
@@ -0,0 +1,80 @@
+"""
+.. _artist_reference:
+
+================================
+Reference for Matplotlib artists
+================================
+
+This example displays several of Matplotlib's graphics primitives (artists).
+A full list of artists is documented at :ref:`the artist API <artist-api>`.
+
+See also :doc:`/gallery/shapes_and_collections/patch_collection`, which groups
+all artists into a single `.PatchCollection` instead.
+
+Copyright (c) 2010, Bartosz Telenczuk
+BSD License
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib as mpl
+import matplotlib.lines as mlines
+import matplotlib.patches as mpatches
+import matplotlib.path as mpath
+
+# Prepare the data for the PathPatch below.
+Path = mpath.Path
+codes, verts = zip(*[
+    (Path.MOVETO, [0.018, -0.11]),
+    (Path.CURVE4, [-0.031, -0.051]),
+    (Path.CURVE4, [-0.115, 0.073]),
+    (Path.CURVE4, [-0.03, 0.073]),
+    (Path.LINETO, [-0.011, 0.039]),
+    (Path.CURVE4, [0.043, 0.121]),
+    (Path.CURVE4, [0.075, -0.005]),
+    (Path.CURVE4, [0.035, -0.027]),
+    (Path.CLOSEPOLY, [0.018, -0.11])])
+
+artists = [
+    mpatches.Circle((0, 0), 0.1, ec="none"),
+    mpatches.Rectangle((-0.025, -0.05), 0.05, 0.1, ec="none"),
+    mpatches.Wedge((0, 0), 0.1, 30, 270, ec="none"),
+    mpatches.RegularPolygon((0, 0), 5, radius=0.1),
+    mpatches.Ellipse((0, 0), 0.2, 0.1),
+    mpatches.Arrow(-0.05, -0.05, 0.1, 0.1, width=0.1),
+    mpatches.PathPatch(mpath.Path(verts, codes), ec="none"),
+    mpatches.FancyBboxPatch((-0.025, -0.05), 0.05, 0.1, ec="none",
+                            boxstyle=mpatches.BoxStyle("Round", pad=0.02)),
+    mlines.Line2D([-0.06, 0.0, 0.1], [0.05, -0.05, 0.05], lw=5),
+]
+
+axs = plt.figure(figsize=(6, 6), layout="constrained").subplots(3, 3)
+for i, (ax, artist) in enumerate(zip(axs.flat, artists)):
+    artist.set(color=mpl.colormaps["hsv"](i / len(artists)))
+    ax.add_artist(artist)
+    ax.set(title=type(artist).__name__,
+           aspect=1, xlim=(-.2, .2), ylim=(-.2, .2))
+    ax.set_axis_off()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.lines`
+#    - `matplotlib.lines.Line2D`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.patches.Ellipse`
+#    - `matplotlib.patches.Wedge`
+#    - `matplotlib.patches.Rectangle`
+#    - `matplotlib.patches.Arrow`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.patches.FancyBboxPatch`
+#    - `matplotlib.patches.RegularPolygon`
+#    - `matplotlib.axes.Axes.add_artist`
diff --git a/galleries/examples/shapes_and_collections/collections.py b/galleries/examples/shapes_and_collections/collections.py
new file mode 100644
index 000000000000..1f60afda1c5f
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/collections.py
@@ -0,0 +1,141 @@
+"""
+=========================================================
+Line, Poly and RegularPoly Collection with autoscaling
+=========================================================
+
+For the first two subplots, we will use spirals.  Their size will be set in
+plot units, not data units.  Their positions will be set in data units by using
+the *offsets* and *offset_transform* keyword arguments of the `.LineCollection`
+and `.PolyCollection`.
+
+The third subplot will make regular polygons, with the same
+type of scaling and positioning as in the first two.
+
+The last subplot illustrates the use of ``offsets=(xo, yo)``,
+that is, a single tuple instead of a list of tuples, to generate
+successively offset curves, with the offset given in data
+units.  This behavior is available only for the LineCollection.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import collections, transforms
+
+nverts = 50
+npts = 100
+
+# Make some spirals
+r = np.arange(nverts)
+theta = np.linspace(0, 2*np.pi, nverts)
+xx = r * np.sin(theta)
+yy = r * np.cos(theta)
+spiral = np.column_stack([xx, yy])
+
+# Fixing random state for reproducibility
+rs = np.random.RandomState(19680801)
+
+# Make some offsets
+xyo = rs.randn(npts, 2)
+
+# Make a list of colors cycling through the default series.
+colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+fig.subplots_adjust(top=0.92, left=0.07, right=0.97,
+                    hspace=0.3, wspace=0.3)
+
+
+col = collections.LineCollection(
+    [spiral], offsets=xyo, offset_transform=ax1.transData)
+trans = fig.dpi_scale_trans + transforms.Affine2D().scale(1.0/72.0)
+col.set_transform(trans)  # the points to pixels transform
+# Note: the first argument to the collection initializer
+# must be a list of sequences of (x, y) tuples; we have only
+# one sequence, but we still have to put it in a list.
+ax1.add_collection(col, autolim=True)
+# autolim=True enables autoscaling.  For collections with
+# offsets like this, it is neither efficient nor accurate,
+# but it is good enough to generate a plot that you can use
+# as a starting point.  If you know beforehand the range of
+# x and y that you want to show, it is better to set them
+# explicitly, leave out the *autolim* keyword argument (or set it to False),
+# and omit the 'ax1.autoscale_view()' call below.
+
+# Make a transform for the line segments such that their size is
+# given in points:
+col.set_color(colors)
+
+ax1.autoscale_view()  # See comment above, after ax1.add_collection.
+ax1.set_title('LineCollection using offsets')
+
+
+# The same data as above, but fill the curves.
+col = collections.PolyCollection(
+    [spiral], offsets=xyo, offset_transform=ax2.transData)
+trans = transforms.Affine2D().scale(fig.dpi/72.0)
+col.set_transform(trans)  # the points to pixels transform
+ax2.add_collection(col, autolim=True)
+col.set_color(colors)
+
+
+ax2.autoscale_view()
+ax2.set_title('PolyCollection using offsets')
+
+# 7-sided regular polygons
+
+col = collections.RegularPolyCollection(
+    7, sizes=np.abs(xx) * 10.0, offsets=xyo, offset_transform=ax3.transData)
+trans = transforms.Affine2D().scale(fig.dpi / 72.0)
+col.set_transform(trans)  # the points to pixels transform
+ax3.add_collection(col, autolim=True)
+col.set_color(colors)
+ax3.autoscale_view()
+ax3.set_title('RegularPolyCollection using offsets')
+
+
+# Simulate a series of ocean current profiles, successively
+# offset by 0.1 m/s so that they form what is sometimes called
+# a "waterfall" plot or a "stagger" plot.
+
+nverts = 60
+ncurves = 20
+offs = (0.1, 0.0)
+
+yy = np.linspace(0, 2*np.pi, nverts)
+ym = np.max(yy)
+xx = (0.2 + (ym - yy) / ym) ** 2 * np.cos(yy - 0.4) * 0.5
+segs = []
+for i in range(ncurves):
+    xxx = xx + 0.02*rs.randn(nverts)
+    curve = np.column_stack([xxx, yy * 100])
+    segs.append(curve)
+
+col = collections.LineCollection(segs, offsets=offs)
+ax4.add_collection(col, autolim=True)
+col.set_color(colors)
+ax4.autoscale_view()
+ax4.set_title('Successive data offsets')
+ax4.set_xlabel('Zonal velocity component (m/s)')
+ax4.set_ylabel('Depth (m)')
+# Reverse the y-axis so depth increases downward
+ax4.set_ylim(ax4.get_ylim()[::-1])
+
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure`
+#    - `matplotlib.collections`
+#    - `matplotlib.collections.LineCollection`
+#    - `matplotlib.collections.RegularPolyCollection`
+#    - `matplotlib.axes.Axes.add_collection`
+#    - `matplotlib.axes.Axes.autoscale_view`
+#    - `matplotlib.transforms.Affine2D`
+#    - `matplotlib.transforms.Affine2D.scale`
diff --git a/galleries/examples/shapes_and_collections/compound_path.py b/galleries/examples/shapes_and_collections/compound_path.py
new file mode 100644
index 000000000000..0afee13cb2fc
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/compound_path.py
@@ -0,0 +1,49 @@
+"""
+=============
+Compound path
+=============
+
+Make a compound path -- in this case two simple polygons, a rectangle
+and a triangle.  Use ``CLOSEPOLY`` and ``MOVETO`` for the different parts of
+the compound path
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.patches import PathPatch
+from matplotlib.path import Path
+
+vertices = []
+codes = []
+
+codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
+vertices = [(1, 1), (1, 2), (2, 2), (2, 1), (0, 0)]
+
+codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
+vertices += [(4, 4), (5, 5), (5, 4), (0, 0)]
+
+path = Path(vertices, codes)
+
+pathpatch = PathPatch(path, facecolor='none', edgecolor='green')
+
+fig, ax = plt.subplots()
+ax.add_patch(pathpatch)
+ax.set_title('A compound path')
+
+ax.autoscale_view()
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.axes.Axes.autoscale_view`
diff --git a/galleries/examples/shapes_and_collections/dolphin.py b/galleries/examples/shapes_and_collections/dolphin.py
new file mode 100644
index 000000000000..7c40eddcedd4
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/dolphin.py
@@ -0,0 +1,127 @@
+"""
+========
+Dolphins
+========
+
+This example shows how to draw, and manipulate shapes given vertices
+and nodes using the `~.path.Path`, `~.patches.PathPatch` and
+`~matplotlib.transforms` classes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Circle, PathPatch
+from matplotlib.path import Path
+from matplotlib.transforms import Affine2D
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+r = np.random.rand(50)
+t = np.random.rand(50) * np.pi * 2.0
+x = r * np.cos(t)
+y = r * np.sin(t)
+
+fig, ax = plt.subplots(figsize=(6, 6))
+circle = Circle((0, 0), 1, facecolor='none',
+                edgecolor=(0, 0.8, 0.8), linewidth=3, alpha=0.5)
+ax.add_patch(circle)
+
+im = plt.imshow(np.random.random((100, 100)),
+                origin='lower', cmap="winter",
+                interpolation='spline36',
+                extent=(-1, 1, -1, 1))
+im.set_clip_path(circle)
+
+plt.plot(x, y, 'o', color=(0.9, 0.9, 1.0), alpha=0.8)
+
+# Dolphin from OpenClipart library by Andy Fitzsimon
+#   <cc:License rdf:about="http://web.resource.org/cc/PublicDomain">
+#     <cc:permits rdf:resource="http://web.resource.org/cc/Reproduction"/>
+#     <cc:permits rdf:resource="http://web.resource.org/cc/Distribution"/>
+#     <cc:permits rdf:resource="http://web.resource.org/cc/DerivativeWorks"/>
+#   </cc:License>
+
+dolphin = """
+M -0.59739425,160.18173 C -0.62740401,160.18885 -0.57867129,160.11183
+-0.57867129,160.11183 C -0.57867129,160.11183 -0.5438361,159.89315
+-0.39514638,159.81496 C -0.24645668,159.73678 -0.18316813,159.71981
+-0.18316813,159.71981 C -0.18316813,159.71981 -0.10322971,159.58124
+-0.057804323,159.58725 C -0.029723983,159.58913 -0.061841603,159.60356
+-0.071265813,159.62815 C -0.080250183,159.65325 -0.082918513,159.70554
+-0.061841203,159.71248 C -0.040763903,159.7194 -0.0066711426,159.71091
+0.077336307,159.73612 C 0.16879567,159.76377 0.28380306,159.86448
+0.31516668,159.91533 C 0.3465303,159.96618 0.5011127,160.1771
+0.5011127,160.1771 C 0.63668998,160.19238 0.67763022,160.31259
+0.66556395,160.32668 C 0.65339985,160.34212 0.66350443,160.33642
+0.64907098,160.33088 C 0.63463742,160.32533 0.61309688,160.297
+0.5789627,160.29339 C 0.54348657,160.28968 0.52329693,160.27674
+0.50728856,160.27737 C 0.49060916,160.27795 0.48965803,160.31565
+0.46114204,160.33673 C 0.43329696,160.35786 0.4570711,160.39871
+0.43309565,160.40685 C 0.4105108,160.41442 0.39416631,160.33027
+0.3954995,160.2935 C 0.39683269,160.25672 0.43807996,160.21522
+0.44567915,160.19734 C 0.45327833,160.17946 0.27946869,159.9424
+-0.061852613,159.99845 C -0.083965233,160.0427 -0.26176109,160.06683
+-0.26176109,160.06683 C -0.30127962,160.07028 -0.21167141,160.09731
+-0.24649368,160.1011 C -0.32642366,160.11569 -0.34521187,160.06895
+-0.40622293,160.0819 C -0.467234,160.09485 -0.56738444,160.17461
+-0.59739425,160.18173
+"""
+
+vertices = []
+codes = []
+parts = dolphin.split()
+i = 0
+code_map = {
+    'M': Path.MOVETO,
+    'C': Path.CURVE4,
+    'L': Path.LINETO,
+}
+
+while i < len(parts):
+    path_code = code_map[parts[i]]
+    npoints = Path.NUM_VERTICES_FOR_CODE[path_code]
+    codes.extend([path_code] * npoints)
+    vertices.extend([[*map(float, y.split(','))]
+                     for y in parts[i + 1:][:npoints]])
+    i += npoints + 1
+vertices = np.array(vertices)
+vertices[:, 1] -= 160
+
+dolphin_path = Path(vertices, codes)
+dolphin_patch = PathPatch(dolphin_path, facecolor=(0.6, 0.6, 0.6),
+                          edgecolor=(0.0, 0.0, 0.0))
+ax.add_patch(dolphin_patch)
+
+vertices = Affine2D().rotate_deg(60).transform(vertices)
+dolphin_path2 = Path(vertices, codes)
+dolphin_patch2 = PathPatch(dolphin_path2, facecolor=(0.5, 0.5, 0.5),
+                           edgecolor=(0.0, 0.0, 0.0))
+ax.add_patch(dolphin_patch2)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.transforms`
+#    - `matplotlib.transforms.Affine2D`
+#    - `matplotlib.transforms.Affine2D.rotate_deg`
+#
+# .. tags::
+#
+#    component: patch
+#    styling: shape
+#    purpose: fun
diff --git a/galleries/examples/shapes_and_collections/donut.py b/galleries/examples/shapes_and_collections/donut.py
new file mode 100644
index 000000000000..8764101beb3e
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/donut.py
@@ -0,0 +1,89 @@
+r"""
+=============
+Mmh Donuts!!!
+=============
+
+Draw donuts (miam!) using `~.path.Path`\s and `~.patches.PathPatch`\es.
+This example shows the effect of the path's orientations in a compound path.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as mpatches
+import matplotlib.path as mpath
+
+
+def wise(v):
+    if v == 1:
+        return "CCW"
+    else:
+        return "CW"
+
+
+def make_circle(r):
+    t = np.arange(0, np.pi * 2.0, 0.01)
+    t = t.reshape((len(t), 1))
+    x = r * np.cos(t)
+    y = r * np.sin(t)
+    return np.hstack((x, y))
+
+Path = mpath.Path
+
+fig, ax = plt.subplots()
+
+inside_vertices = make_circle(0.5)
+outside_vertices = make_circle(1.0)
+codes = np.ones(
+    len(inside_vertices), dtype=mpath.Path.code_type) * mpath.Path.LINETO
+codes[0] = mpath.Path.MOVETO
+
+for i, (inside, outside) in enumerate(((1, 1), (1, -1), (-1, 1), (-1, -1))):
+    # Concatenate the inside and outside subpaths together, changing their
+    # order as needed
+    vertices = np.concatenate((outside_vertices[::outside],
+                               inside_vertices[::inside]))
+    # Shift the path
+    vertices[:, 0] += i * 2.5
+    # The codes will be all "LINETO" commands, except for "MOVETO"s at the
+    # beginning of each subpath
+    all_codes = np.concatenate((codes, codes))
+    # Create the Path object
+    path = mpath.Path(vertices, all_codes)
+    # Add plot it
+    patch = mpatches.PathPatch(path, facecolor='#885500', edgecolor='black')
+    ax.add_patch(patch)
+
+    ax.annotate(f"Outside {wise(outside)},\nInside {wise(inside)}",
+                (i * 2.5, -1.5), va="top", ha="center")
+
+ax.set_xlim(-2, 10)
+ax.set_ylim(-3, 2)
+ax.set_title('Mmm, donuts!')
+ax.set_aspect(1.0)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.axes.Axes.annotate`
+#    - `matplotlib.axes.Axes.set_aspect`
+#    - `matplotlib.axes.Axes.set_xlim`
+#    - `matplotlib.axes.Axes.set_ylim`
+#    - `matplotlib.axes.Axes.set_title`
+#
+# .. tags::
+#
+#    component: patch
+#    styling: shape
+#    purpose: fun
diff --git a/galleries/examples/shapes_and_collections/ellipse_arrow.py b/galleries/examples/shapes_and_collections/ellipse_arrow.py
new file mode 100644
index 000000000000..4bcdc016faa6
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/ellipse_arrow.py
@@ -0,0 +1,53 @@
+"""
+===================================
+Ellipse with orientation arrow demo
+===================================
+
+This demo shows how to draw an ellipse with
+an orientation arrow (clockwise or counterclockwise).
+Compare this to the :doc:`Ellipse collection example
+</gallery/shapes_and_collections/ellipse_collection>`.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.markers import MarkerStyle
+from matplotlib.patches import Ellipse
+from matplotlib.transforms import Affine2D
+
+# Create a figure and axis
+fig, ax = plt.subplots(subplot_kw={"aspect": "equal"})
+
+ellipse = Ellipse(
+    xy=(2, 4),
+    width=30,
+    height=20,
+    angle=35,
+    facecolor="none",
+    edgecolor="b"
+)
+ax.add_patch(ellipse)
+
+# Plot an arrow marker at the end point of minor axis
+vertices = ellipse.get_co_vertices()
+t = Affine2D().rotate_deg(ellipse.angle)
+ax.plot(
+    vertices[0][0],
+    vertices[0][1],
+    color="b",
+    marker=MarkerStyle(">", "full", t),
+    markersize=10
+)
+# Note: To reverse the orientation arrow, switch the marker type from > to <.
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Ellipse`
diff --git a/galleries/examples/shapes_and_collections/ellipse_collection.py b/galleries/examples/shapes_and_collections/ellipse_collection.py
new file mode 100644
index 000000000000..7118e5f7abf2
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/ellipse_collection.py
@@ -0,0 +1,51 @@
+"""
+==================
+Ellipse Collection
+==================
+
+Drawing a collection of ellipses. While this would equally be possible using
+a `~.collections.EllipseCollection` or `~.collections.PathCollection`, the use
+of an `~.collections.EllipseCollection` allows for much shorter code.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import EllipseCollection
+
+x = np.arange(10)
+y = np.arange(15)
+X, Y = np.meshgrid(x, y)
+
+XY = np.column_stack((X.ravel(), Y.ravel()))
+
+ww = X / 10.0
+hh = Y / 15.0
+aa = X * 9
+
+
+fig, ax = plt.subplots()
+
+ec = EllipseCollection(ww, hh, aa, units='x', offsets=XY,
+                       offset_transform=ax.transData)
+ec.set_array((X + Y).ravel())
+ax.add_collection(ec)
+ax.autoscale_view()
+ax.set_xlabel('X')
+ax.set_ylabel('y')
+cbar = plt.colorbar(ec)
+cbar.set_label('X+Y')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.collections`
+#    - `matplotlib.collections.EllipseCollection`
+#    - `matplotlib.axes.Axes.add_collection`
+#    - `matplotlib.axes.Axes.autoscale_view`
+#    - `matplotlib.cm.ScalarMappable.set_array`
diff --git a/galleries/examples/shapes_and_collections/ellipse_demo.py b/galleries/examples/shapes_and_collections/ellipse_demo.py
new file mode 100644
index 000000000000..0d7e72a1100d
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/ellipse_demo.py
@@ -0,0 +1,68 @@
+"""
+============
+Ellipse Demo
+============
+
+Draw many ellipses. Here individual ellipses are drawn. Compare this
+to the :doc:`Ellipse collection example
+</gallery/shapes_and_collections/ellipse_collection>`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Ellipse
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+NUM = 250
+
+ells = [Ellipse(xy=np.random.rand(2) * 10,
+                width=np.random.rand(), height=np.random.rand(),
+                angle=np.random.rand() * 360)
+        for i in range(NUM)]
+
+fig, ax = plt.subplots()
+ax.set(xlim=(0, 10), ylim=(0, 10), aspect="equal")
+
+for e in ells:
+    ax.add_artist(e)
+    e.set_clip_box(ax.bbox)
+    e.set_alpha(np.random.rand())
+    e.set_facecolor(np.random.rand(3))
+
+plt.show()
+
+# %%
+# ===============
+# Ellipse Rotated
+# ===============
+#
+# Draw many ellipses with different angles.
+#
+
+angle_step = 45  # degrees
+angles = np.arange(0, 180, angle_step)
+
+fig, ax = plt.subplots()
+ax.set(xlim=(-2.2, 2.2), ylim=(-2.2, 2.2), aspect="equal")
+
+for angle in angles:
+    ellipse = Ellipse((0, 0), 4, 2, angle=angle, alpha=0.1)
+    ax.add_artist(ellipse)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Ellipse`
+#    - `matplotlib.axes.Axes.add_artist`
+#    - `matplotlib.artist.Artist.set_clip_box`
+#    - `matplotlib.artist.Artist.set_alpha`
+#    - `matplotlib.patches.Patch.set_facecolor`
diff --git a/galleries/examples/shapes_and_collections/fancybox_demo.py b/galleries/examples/shapes_and_collections/fancybox_demo.py
new file mode 100644
index 000000000000..8d36a5a14d9d
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/fancybox_demo.py
@@ -0,0 +1,169 @@
+"""
+===================
+Drawing fancy boxes
+===================
+
+The following examples show how to plot boxes (`.FancyBboxPatch`) with different
+visual properties.
+"""
+
+import inspect
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as mpatch
+from matplotlib.patches import FancyBboxPatch
+import matplotlib.transforms as mtransforms
+
+# %%
+# Box styles
+# ----------
+# `.FancyBboxPatch` supports different `.BoxStyle`\s. Note that `~.Axes.text`
+# allows to draw a box around the text by adding the ``bbox`` parameter. Therefore,
+# you don't see explicit `.FancyBboxPatch` and `.BoxStyle` calls in the following
+# example.
+
+styles = mpatch.BoxStyle.get_styles()
+ncol = 2
+nrow = (len(styles) + 1) // ncol
+axs = (plt.figure(figsize=(3 * ncol, 1 + nrow))
+       .add_gridspec(1 + nrow, ncol, wspace=.5).subplots())
+for ax in axs.flat:
+    ax.set_axis_off()
+for ax in axs[0, :]:
+    ax.text(.2, .5, "boxstyle",
+            transform=ax.transAxes, size="large", color="tab:blue",
+            horizontalalignment="right", verticalalignment="center")
+    ax.text(.4, .5, "default parameters",
+            transform=ax.transAxes,
+            horizontalalignment="left", verticalalignment="center")
+for ax, (stylename, stylecls) in zip(axs[1:, :].T.flat, styles.items()):
+    ax.text(.2, .5, stylename, bbox=dict(boxstyle=stylename, fc="w", ec="k"),
+            transform=ax.transAxes, size="large", color="tab:blue",
+            horizontalalignment="right", verticalalignment="center")
+    ax.text(.4, .5, str(inspect.signature(stylecls))[1:-1].replace(", ", "\n"),
+            transform=ax.transAxes,
+            horizontalalignment="left", verticalalignment="center")
+
+
+# %%
+# Parameters for modifying the box
+# --------------------------------
+# `.BoxStyle`\s have additional parameters to configure their appearance.
+# For example, "round" boxes can have ``pad`` and ``rounding``.
+#
+# Additionally, the `.FancyBboxPatch` parameters ``mutation_scale`` and
+# ``mutation_aspect`` scale the box appearance.
+
+def add_fancy_patch_around(ax, bb, **kwargs):
+    kwargs = {
+        'facecolor': (1, 0.8, 1, 0.5),
+        'edgecolor': (1, 0.5, 1, 0.5),
+        **kwargs
+    }
+    fancy = FancyBboxPatch(bb.p0, bb.width, bb.height, **kwargs)
+    ax.add_patch(fancy)
+    return fancy
+
+
+def draw_control_points_for_patches(ax):
+    for patch in ax.patches:
+        patch.axes.plot(*patch.get_path().vertices.T, ".",
+                        c=patch.get_edgecolor())
+
+
+fig, axs = plt.subplots(2, 2, figsize=(8, 8))
+
+# Bbox object around which the fancy box will be drawn.
+bb = mtransforms.Bbox([[0.3, 0.4], [0.7, 0.6]])
+
+ax = axs[0, 0]
+# a fancy box with round corners. pad=0.1
+add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1")
+ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
+       title='boxstyle="round,pad=0.1"')
+
+ax = axs[0, 1]
+# bbox=round has two optional arguments: pad and rounding_size.
+# They can be set during the initialization.
+fancy = add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1")
+# The boxstyle and its argument can be later modified with set_boxstyle().
+# Note that the old attributes are simply forgotten even if the boxstyle name
+# is same.
+fancy.set_boxstyle("round,pad=0.1,rounding_size=0.2")
+# or: fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
+ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
+       title='boxstyle="round,pad=0.1,rounding_size=0.2"')
+
+ax = axs[1, 0]
+# mutation_scale determines the overall scale of the mutation, i.e. both pad
+# and rounding_size is scaled according to this value.
+add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1", mutation_scale=2)
+ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
+       title='boxstyle="round,pad=0.1"\n mutation_scale=2')
+
+ax = axs[1, 1]
+# mutation_aspect scales the vertical influence of the parameters (technically,
+# it scales the height of the box down by mutation_aspect, applies the box parameters
+# and scales the result back up). In effect, the vertical pad is scaled to
+# pad * mutation_aspect, e.g. mutation_aspect=0.5 halves the vertical pad.
+add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1", mutation_aspect=0.5)
+ax.set(xlim=(0, 1), ylim=(0, 1),
+       title='boxstyle="round,pad=0.1"\nmutation_aspect=0.5')
+
+for ax in axs.flat:
+    draw_control_points_for_patches(ax)
+    # Draw the original bbox (using boxstyle=square with pad=0).
+    add_fancy_patch_around(ax, bb, boxstyle="square,pad=0",
+                           edgecolor="black", facecolor="none", zorder=10)
+
+fig.tight_layout()
+
+
+plt.show()
+
+# %%
+# Creating visually constant padding on non-equal aspect Axes
+# -----------------------------------------------------------
+# Since padding is in box coordinates, i.e. usually data coordinates,
+# a given padding is rendered to different visual sizes if the
+# Axes aspect is not 1.
+# To get visually equal vertical and horizontal padding, set the
+# mutation_aspect to the inverse of the Axes aspect. This scales
+# the vertical padding appropriately.
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6.5, 5))
+
+# original boxes
+bb = mtransforms.Bbox([[-0.5, -0.5], [0.5, 0.5]])
+add_fancy_patch_around(ax1, bb, boxstyle="square,pad=0",
+                       edgecolor="black", facecolor="none", zorder=10)
+add_fancy_patch_around(ax2, bb, boxstyle="square,pad=0",
+                       edgecolor="black", facecolor="none", zorder=10)
+ax1.set(xlim=(-1.5, 1.5), ylim=(-1.5, 1.5), aspect=2)
+ax2.set(xlim=(-1.5, 1.5), ylim=(-1.5, 1.5), aspect=2)
+
+
+fancy = add_fancy_patch_around(
+    ax1, bb, boxstyle="round,pad=0.5")
+ax1.set_title("aspect=2\nmutation_aspect=1")
+
+fancy = add_fancy_patch_around(
+    ax2, bb, boxstyle="round,pad=0.5", mutation_aspect=0.5)
+ax2.set_title("aspect=2\nmutation_aspect=0.5")
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.FancyBboxPatch`
+#    - `matplotlib.patches.BoxStyle`
+#    - ``matplotlib.patches.BoxStyle.get_styles``
+#    - `matplotlib.transforms.Bbox`
+#    - `matplotlib.figure.Figure.text`
+#    - `matplotlib.axes.Axes.text`
diff --git a/galleries/examples/shapes_and_collections/hatch_demo.py b/galleries/examples/shapes_and_collections/hatch_demo.py
new file mode 100644
index 000000000000..f2ca490c4e37
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/hatch_demo.py
@@ -0,0 +1,61 @@
+"""
+==========
+Hatch demo
+==========
+
+Hatches can be added to most polygons in Matplotlib, including `~.Axes.bar`,
+`~.Axes.fill_between`, `~.Axes.contourf`, and children of `~.patches.Polygon`.
+They are currently supported in the PS, PDF, SVG, macosx, and Agg backends. The WX
+and Cairo backends do not currently support hatching.
+
+See also :doc:`/gallery/images_contours_and_fields/contourf_hatching` for
+an example using `~.Axes.contourf`, and
+:doc:`/gallery/shapes_and_collections/hatch_style_reference` for swatches
+of the existing hatches.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Ellipse, Polygon
+
+x = np.arange(1, 5)
+y1 = np.arange(1, 5)
+y2 = np.ones(y1.shape) * 4
+
+fig = plt.figure()
+axs = fig.subplot_mosaic([['bar1', 'patches'], ['bar2', 'patches']])
+
+axs['bar1'].bar(x, y1, edgecolor='black', hatch="/")
+axs['bar1'].bar(x, y2, bottom=y1, edgecolor='black', hatch='//')
+
+axs['bar2'].bar(x, y1, edgecolor='black', hatch=['--', '+', 'x', '\\'])
+axs['bar2'].bar(x, y2, bottom=y1, edgecolor='black',
+                hatch=['*', 'o', 'O', '.'])
+
+x = np.arange(0, 40, 0.2)
+axs['patches'].fill_between(x, np.sin(x) * 4 + 30, y2=0,
+                            hatch='///', zorder=2, fc='c')
+axs['patches'].add_patch(Ellipse((4, 50), 10, 10, fill=True,
+                                 hatch='*', facecolor='y'))
+axs['patches'].add_patch(Polygon([(10, 20), (30, 50), (50, 10)],
+                                 hatch='\\/...', facecolor='g'))
+axs['patches'].set_xlim([0, 40])
+axs['patches'].set_ylim([10, 60])
+axs['patches'].set_aspect(1)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Ellipse`
+#    - `matplotlib.patches.Polygon`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.patches.Patch.set_hatch`
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
diff --git a/galleries/examples/shapes_and_collections/hatch_style_reference.py b/galleries/examples/shapes_and_collections/hatch_style_reference.py
new file mode 100644
index 000000000000..58f3207cb9d8
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/hatch_style_reference.py
@@ -0,0 +1,70 @@
+"""
+.. _hatch_def:
+
+=====================
+Hatch style reference
+=====================
+
+Hatches can be added to most polygons in Matplotlib, including `~.Axes.bar`,
+`~.Axes.fill_between`, `~.Axes.contourf`, and children of `~.patches.Polygon`.
+They are currently supported in the PS, PDF, SVG, macosx, and Agg backends. The WX
+and Cairo backends do not currently support hatching.
+
+See also :doc:`/gallery/images_contours_and_fields/contourf_hatching` for
+an example using `~.Axes.contourf`, and
+:doc:`/gallery/shapes_and_collections/hatch_demo` for more usage examples.
+
+"""
+import matplotlib.pyplot as plt
+
+from matplotlib.patches import Rectangle
+
+fig, axs = plt.subplots(2, 5, layout='constrained', figsize=(6.4, 3.2))
+
+hatches = ['/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*']
+
+
+def hatches_plot(ax, h):
+    ax.add_patch(Rectangle((0, 0), 2, 2, fill=False, hatch=h))
+    ax.text(1, -0.5, f"' {h} '", size=15, ha="center")
+    ax.axis('equal')
+    ax.axis('off')
+
+for ax, h in zip(axs.flat, hatches):
+    hatches_plot(ax, h)
+
+# %%
+# Hatching patterns can be repeated to increase the density.
+
+fig, axs = plt.subplots(2, 5, layout='constrained', figsize=(6.4, 3.2))
+
+hatches = ['//', '\\\\', '||', '--', '++', 'xx', 'oo', 'OO', '..', '**']
+
+for ax, h in zip(axs.flat, hatches):
+    hatches_plot(ax, h)
+
+# %%
+# Hatching patterns can be combined to create additional patterns.
+
+fig, axs = plt.subplots(2, 5, layout='constrained', figsize=(6.4, 3.2))
+
+hatches = ['/o', '\\|', '|*', '-\\', '+o', 'x*', 'o-', 'O|', 'O.', '*-']
+
+for ax, h in zip(axs.flat, hatches):
+    hatches_plot(ax, h)
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Rectangle`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.axes.Axes.text`
+#
+# .. tags::
+#
+#    purpose: reference
diff --git a/galleries/examples/shapes_and_collections/hatchcolor_demo.py b/galleries/examples/shapes_and_collections/hatchcolor_demo.py
new file mode 100644
index 000000000000..7a51248ffc14
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/hatchcolor_demo.py
@@ -0,0 +1,93 @@
+"""
+===============
+Hatchcolor Demo
+===============
+
+The color of the hatch can be set using the *hatchcolor* parameter. The following
+examples show how to use the *hatchcolor* parameter to set the color of the hatch
+in `~.patches.Patch` and `~.collections.Collection`.
+
+See also :doc:`/gallery/shapes_and_collections/hatch_demo` for more usage examples
+of hatching.
+
+Patch Hatchcolor
+----------------
+
+This example shows how to use the *hatchcolor* parameter to set the color of
+the hatch in a rectangle and a bar plot. The *hatchcolor* parameter is available for
+`~.patches.Patch`, child classes of Patch, and methods that pass through to Patch.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cm as cm
+from matplotlib.patches import Rectangle
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+
+# Rectangle with red hatch color and black edge color
+ax1.add_patch(Rectangle((0.1, 0.5), 0.8, 0.3, hatch=".", hatchcolor='red',
+                        edgecolor='black', lw=2))
+# If hatchcolor is not passed, the hatch will match the edge color
+ax1.add_patch(Rectangle((0.1, 0.1), 0.8, 0.3, hatch='x', edgecolor='orange', lw=2))
+
+x = np.arange(1, 5)
+y = np.arange(1, 5)
+
+ax2.bar(x, y, facecolor='none', edgecolor='red', hatch='//', hatchcolor='blue')
+ax2.set_xlim(0, 5)
+ax2.set_ylim(0, 5)
+
+# %%
+# Collection Hatchcolor
+# ---------------------
+#
+# The following example shows how to use the *hatchcolor* parameter to set the color of
+# the hatch in a scatter plot. The *hatchcolor* parameter can also be passed to
+# `~.collections.Collection`, child classes of Collection, and methods that pass
+# through to Collection.
+
+fig, ax = plt.subplots()
+
+num_points_x = 10
+num_points_y = 9
+x = np.linspace(0, 1, num_points_x)
+y = np.linspace(0, 1, num_points_y)
+
+X, Y = np.meshgrid(x, y)
+X[1::2, :] += (x[1] - x[0]) / 2  # stagger every alternate row
+
+# As ax.scatter (PathCollection) is drawn row by row, setting hatchcolors to the
+# first row is enough, as the colors will be cycled through for the next rows.
+colors = [cm.rainbow(val) for val in x]
+
+ax.scatter(
+    X.ravel(),
+    Y.ravel(),
+    s=1700,
+    facecolor="none",
+    edgecolor="gray",
+    linewidth=2,
+    marker="h",  # Use hexagon as marker
+    hatch="xxx",
+    hatchcolor=colors,
+)
+ax.set_xlim(0, 1)
+ax.set_ylim(0, 1)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Polygon`
+#    - `matplotlib.axes.Axes.add_patch`
+#    - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
+#    - `matplotlib.collections`
+#    - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`
diff --git a/galleries/examples/shapes_and_collections/line_collection.py b/galleries/examples/shapes_and_collections/line_collection.py
new file mode 100644
index 000000000000..d8b3fd655133
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/line_collection.py
@@ -0,0 +1,70 @@
+"""
+==========================================
+Plot multiple lines using a LineCollection
+==========================================
+
+Matplotlib can efficiently draw multiple lines at once using a `~.LineCollection`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import LineCollection
+
+colors = ["indigo", "blue", "green", "yellow", "orange", "red"]
+
+# create a list of half-circles with varying radii
+theta = np.linspace(0, np.pi, 36)
+radii = np.linspace(4, 5, num=len(colors))
+arcs = [np.column_stack([r * np.cos(theta), r * np.sin(theta)]) for r in radii]
+
+fig, ax = plt.subplots(figsize=(6.4, 3.2))
+# set axes limits manually because Collections do not take part in autoscaling
+ax.set_xlim(-6, 6)
+ax.set_ylim(0, 6)
+ax.set_aspect("equal")  # to make the arcs look circular
+
+# create a LineCollection with the half-circles
+# its properties can be set per line by passing a sequence (here used for *colors*)
+# or they can be set for all lines by passing a scalar (here used for *linewidths*)
+line_collection = LineCollection(arcs, colors=colors, linewidths=4)
+ax.add_collection(line_collection)
+
+plt.show()
+
+# %%
+# Instead of passing a list of colors (``colors=colors``), we can alternatively use
+# colormapping. The lines are then color-coded based on an additional array of values
+# passed to the *array* parameter. In the below example, we color the lines based on
+# their radius by passing ``array=radii``.
+
+num_arcs = 15
+theta = np.linspace(0, np.pi, 36)
+radii = np.linspace(4, 5.5, num=num_arcs)
+arcs = [np.column_stack([r * np.cos(theta), r * np.sin(theta)]) for r in radii]
+
+fig, ax = plt.subplots(figsize=(6.4, 3))
+# set axes limits manually because Collections do not take part in autoscaling
+ax.set_xlim(-6, 6)
+ax.set_ylim(0, 6)
+ax.set_aspect("equal")  # to make the arcs look circular
+
+# create a LineCollection with the half-circles and color mapping
+line_collection = LineCollection(arcs, array=radii, cmap="rainbow")
+ax.add_collection(line_collection)
+
+fig.colorbar(line_collection, label="Radius")
+ax.set_title("Line Collection with mapped colors")
+
+plt.show()
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.collections.LineCollection`
+#    - `matplotlib.collections.Collection.set_array`
+#    - `matplotlib.axes.Axes.add_collection`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
diff --git a/galleries/examples/shapes_and_collections/patch_collection.py b/galleries/examples/shapes_and_collections/patch_collection.py
new file mode 100644
index 000000000000..ca0dd8e1045d
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/patch_collection.py
@@ -0,0 +1,77 @@
+"""
+============================
+Circles, Wedges and Polygons
+============================
+
+This example demonstrates how to use `.collections.PatchCollection`.
+
+See also :doc:`/gallery/shapes_and_collections/artist_reference`, which instead
+adds each artist separately to its own Axes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import PatchCollection
+from matplotlib.patches import Circle, Polygon, Wedge
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig, ax = plt.subplots()
+
+resolution = 50  # the number of vertices
+N = 3
+x = np.random.rand(N)
+y = np.random.rand(N)
+radii = 0.1*np.random.rand(N)
+patches = []
+for x1, y1, r in zip(x, y, radii):
+    circle = Circle((x1, y1), r)
+    patches.append(circle)
+
+x = np.random.rand(N)
+y = np.random.rand(N)
+radii = 0.1*np.random.rand(N)
+theta1 = 360.0*np.random.rand(N)
+theta2 = 360.0*np.random.rand(N)
+for x1, y1, r, t1, t2 in zip(x, y, radii, theta1, theta2):
+    wedge = Wedge((x1, y1), r, t1, t2)
+    patches.append(wedge)
+
+# Some limiting conditions on Wedge
+patches += [
+    Wedge((.3, .7), .1, 0, 360),             # Full circle
+    Wedge((.7, .8), .2, 0, 360, width=0.05),  # Full ring
+    Wedge((.8, .3), .2, 0, 45),              # Full sector
+    Wedge((.8, .3), .2, 45, 90, width=0.10),  # Ring sector
+]
+
+for i in range(N):
+    polygon = Polygon(np.random.rand(N, 2), closed=True)
+    patches.append(polygon)
+
+colors = 100 * np.random.rand(len(patches))
+p = PatchCollection(patches, alpha=0.4)
+p.set_array(colors)
+ax.add_collection(p)
+fig.colorbar(p, ax=ax)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.patches.Wedge`
+#    - `matplotlib.patches.Polygon`
+#    - `matplotlib.collections.PatchCollection`
+#    - `matplotlib.collections.Collection.set_array`
+#    - `matplotlib.axes.Axes.add_collection`
+#    - `matplotlib.figure.Figure.colorbar`
diff --git a/galleries/examples/shapes_and_collections/path_patch.py b/galleries/examples/shapes_and_collections/path_patch.py
new file mode 100644
index 000000000000..13acd35ea861
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/path_patch.py
@@ -0,0 +1,53 @@
+r"""
+================
+PathPatch object
+================
+
+This example shows how to create `~.path.Path` and `~.patches.PathPatch`
+objects through Matplotlib's API.
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as mpatches
+import matplotlib.path as mpath
+
+fig, ax = plt.subplots()
+
+Path = mpath.Path
+path_data = [
+    (Path.MOVETO, (1.58, -2.57)),
+    (Path.CURVE4, (0.35, -1.1)),
+    (Path.CURVE4, (-1.75, 2.0)),
+    (Path.CURVE4, (0.375, 2.0)),
+    (Path.LINETO, (0.85, 1.15)),
+    (Path.CURVE4, (2.2, 3.2)),
+    (Path.CURVE4, (3, 0.05)),
+    (Path.CURVE4, (2.0, -0.5)),
+    (Path.CLOSEPOLY, (1.58, -2.57)),
+    ]
+codes, verts = zip(*path_data)
+path = mpath.Path(verts, codes)
+patch = mpatches.PathPatch(path, facecolor='r', alpha=0.5)
+ax.add_patch(patch)
+
+# plot control points and connecting lines
+x, y = zip(*path.vertices)
+line, = ax.plot(x, y, 'go-')
+
+ax.grid()
+ax.axis('equal')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.axes.Axes.add_patch`
diff --git a/galleries/examples/shapes_and_collections/quad_bezier.py b/galleries/examples/shapes_and_collections/quad_bezier.py
new file mode 100644
index 000000000000..f4a688233ba9
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/quad_bezier.py
@@ -0,0 +1,40 @@
+"""
+============
+Bezier curve
+============
+
+This example showcases the `~.patches.PathPatch` object to create a Bezier
+polycurve path patch.
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as mpatches
+import matplotlib.path as mpath
+
+Path = mpath.Path
+
+fig, ax = plt.subplots()
+pp1 = mpatches.PathPatch(
+    Path([(0, 0), (1, 0), (1, 1), (0, 0)],
+         [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY]),
+    fc="none", transform=ax.transData)
+
+ax.add_patch(pp1)
+ax.plot([0.75], [0.25], "ro")
+ax.set_title('The red point should be on the path')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.PathPatch`
+#    - `matplotlib.axes.Axes.add_patch`
diff --git a/galleries/examples/shapes_and_collections/scatter.py b/galleries/examples/shapes_and_collections/scatter.py
new file mode 100644
index 000000000000..277eade77efd
--- /dev/null
+++ b/galleries/examples/shapes_and_collections/scatter.py
@@ -0,0 +1,31 @@
+"""
+============
+Scatter plot
+============
+
+This example showcases a simple scatter plot.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+N = 50
+x = np.random.rand(N)
+y = np.random.rand(N)
+colors = np.random.rand(N)
+area = (30 * np.random.rand(N))**2  # 0 to 15 point radii
+
+plt.scatter(x, y, s=area, c=colors, alpha=0.5)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`
diff --git a/galleries/examples/showcase/README.txt b/galleries/examples/showcase/README.txt
new file mode 100644
index 000000000000..28028ad666a2
--- /dev/null
+++ b/galleries/examples/showcase/README.txt
@@ -0,0 +1,4 @@
+.. _showcase_examples:
+
+Showcase
+========
diff --git a/galleries/examples/showcase/anatomy.py b/galleries/examples/showcase/anatomy.py
new file mode 100644
index 000000000000..b1fbde9c8d7b
--- /dev/null
+++ b/galleries/examples/showcase/anatomy.py
@@ -0,0 +1,121 @@
+"""
+===================
+Anatomy of a figure
+===================
+
+This figure shows the name of several matplotlib elements composing a figure
+"""
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Circle
+from matplotlib.patheffects import withStroke
+from matplotlib.ticker import AutoMinorLocator, MultipleLocator
+
+royal_blue = [0, 20/256, 82/256]
+
+
+# make the figure
+
+np.random.seed(19680801)
+
+X = np.linspace(0.5, 3.5, 100)
+Y1 = 3+np.cos(X)
+Y2 = 1+np.cos(1+X/0.75)/2
+Y3 = np.random.uniform(Y1, Y2, len(X))
+
+fig = plt.figure(figsize=(7.5, 7.5))
+ax = fig.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1)
+
+ax.xaxis.set_major_locator(MultipleLocator(1.000))
+ax.xaxis.set_minor_locator(AutoMinorLocator(4))
+ax.yaxis.set_major_locator(MultipleLocator(1.000))
+ax.yaxis.set_minor_locator(AutoMinorLocator(4))
+ax.xaxis.set_minor_formatter("{x:.2f}")
+
+ax.set_xlim(0, 4)
+ax.set_ylim(0, 4)
+
+ax.tick_params(which='major', width=1.0, length=10, labelsize=14)
+ax.tick_params(which='minor', width=1.0, length=5, labelsize=10,
+               labelcolor='0.25')
+
+ax.grid(linestyle="--", linewidth=0.5, color='.25', zorder=-10)
+
+ax.plot(X, Y1, c='C0', lw=2.5, label="Blue signal", zorder=10)
+ax.plot(X, Y2, c='C1', lw=2.5, label="Orange signal")
+ax.plot(X[::3], Y3[::3], linewidth=0, markersize=9,
+        marker='s', markerfacecolor='none', markeredgecolor='C4',
+        markeredgewidth=2.5)
+
+ax.set_title("Anatomy of a figure", fontsize=20, verticalalignment='bottom')
+ax.set_xlabel("x Axis label", fontsize=14)
+ax.set_ylabel("y Axis label", fontsize=14)
+ax.legend(loc="upper right", fontsize=14)
+
+
+# Annotate the figure
+
+def annotate(x, y, text, code):
+    # Circle marker
+    c = Circle((x, y), radius=0.15, clip_on=False, zorder=10, linewidth=2.5,
+               edgecolor=royal_blue + [0.6], facecolor='none',
+               path_effects=[withStroke(linewidth=7, foreground='white')])
+    ax.add_artist(c)
+
+    # use path_effects as a background for the texts
+    # draw the path_effects and the colored text separately so that the
+    # path_effects cannot clip other texts
+    for path_effects in [[withStroke(linewidth=7, foreground='white')], []]:
+        color = 'white' if path_effects else royal_blue
+        ax.text(x, y-0.2, text, zorder=100,
+                ha='center', va='top', weight='bold', color=color,
+                style='italic', fontfamily='monospace',
+                path_effects=path_effects)
+
+        color = 'white' if path_effects else 'black'
+        ax.text(x, y-0.33, code, zorder=100,
+                ha='center', va='top', weight='normal', color=color,
+                fontfamily='monospace', fontsize='medium',
+                path_effects=path_effects)
+
+
+annotate(3.5, -0.13, "Minor tick label", "ax.xaxis.set_minor_formatter")
+annotate(-0.03, 1.0, "Major tick", "ax.yaxis.set_major_locator")
+annotate(0.00, 3.75, "Minor tick", "ax.yaxis.set_minor_locator")
+annotate(-0.15, 3.00, "Major tick label", "ax.yaxis.set_major_formatter")
+annotate(1.68, -0.39, "xlabel", "ax.set_xlabel")
+annotate(-0.38, 1.67, "ylabel", "ax.set_ylabel")
+annotate(1.52, 4.15, "Title", "ax.set_title")
+annotate(1.75, 2.80, "Line", "ax.plot")
+annotate(2.25, 1.54, "Markers", "ax.scatter")
+annotate(3.00, 3.00, "Grid", "ax.grid")
+annotate(3.60, 3.58, "Legend", "ax.legend")
+annotate(2.5, 0.55, "Axes", "fig.subplots")
+annotate(4, 4.5, "Figure", "plt.figure")
+annotate(0.65, 0.01, "x Axis", "ax.xaxis")
+annotate(0, 0.36, "y Axis", "ax.yaxis")
+annotate(4.0, 0.7, "Spine", "ax.spines")
+
+# frame around figure
+fig.patch.set(linewidth=4, edgecolor='0.5')
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.figure`
+#    - `matplotlib.axes.Axes.text`
+#    - `matplotlib.axis.Axis.set_minor_formatter`
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.axis.Axis.set_minor_locator`
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.patheffects.withStroke`
+#    - `matplotlib.ticker.FuncFormatter`
diff --git a/galleries/examples/showcase/firefox.py b/galleries/examples/showcase/firefox.py
new file mode 100644
index 000000000000..65682ccd7429
--- /dev/null
+++ b/galleries/examples/showcase/firefox.py
@@ -0,0 +1,61 @@
+"""
+=======
+Firefox
+=======
+
+This example shows how to create the Firefox logo with path and patches.
+"""
+
+import re
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as patches
+from matplotlib.path import Path
+
+# From: https://dmitrybaranovskiy.github.io/raphael/icons/#firefox
+firefox = "M28.4,22.469c0.479-0.964,0.851-1.991,1.095-3.066c0.953-3.661,0.666-6.854,0.666-6.854l-0.327,2.104c0,0-0.469-3.896-1.044-5.353c-0.881-2.231-1.273-2.214-1.274-2.21c0.542,1.379,0.494,2.169,0.483,2.288c-0.01-0.016-0.019-0.032-0.027-0.047c-0.131-0.324-0.797-1.819-2.225-2.878c-2.502-2.481-5.943-4.014-9.745-4.015c-4.056,0-7.705,1.745-10.238,4.525C5.444,6.5,5.183,5.938,5.159,5.317c0,0-0.002,0.002-0.006,0.005c0-0.011-0.003-0.021-0.003-0.031c0,0-1.61,1.247-1.436,4.612c-0.299,0.574-0.56,1.172-0.777,1.791c-0.375,0.817-0.75,2.004-1.059,3.746c0,0,0.133-0.422,0.399-0.988c-0.064,0.482-0.103,0.971-0.116,1.467c-0.09,0.845-0.118,1.865-0.039,3.088c0,0,0.032-0.406,0.136-1.021c0.834,6.854,6.667,12.165,13.743,12.165l0,0c1.86,0,3.636-0.37,5.256-1.036C24.938,27.771,27.116,25.196,28.4,22.469zM16.002,3.356c2.446,0,4.73,0.68,6.68,1.86c-2.274-0.528-3.433-0.261-3.423-0.248c0.013,0.015,3.384,0.589,3.981,1.411c0,0-1.431,0-2.856,0.41c-0.065,0.019,5.242,0.663,6.327,5.966c0,0-0.582-1.213-1.301-1.42c0.473,1.439,0.351,4.17-0.1,5.528c-0.058,0.174-0.118-0.755-1.004-1.155c0.284,2.037-0.018,5.268-1.432,6.158c-0.109,0.07,0.887-3.189,0.201-1.93c-4.093,6.276-8.959,2.539-10.934,1.208c1.585,0.388,3.267,0.108,4.242-0.559c0.982-0.672,1.564-1.162,2.087-1.047c0.522,0.117,0.87-0.407,0.464-0.872c-0.405-0.466-1.392-1.105-2.725-0.757c-0.94,0.247-2.107,1.287-3.886,0.233c-1.518-0.899-1.507-1.63-1.507-2.095c0-0.366,0.257-0.88,0.734-1.028c0.58,0.062,1.044,0.214,1.537,0.466c0.005-0.135,0.006-0.315-0.001-0.519c0.039-0.077,0.015-0.311-0.047-0.596c-0.036-0.287-0.097-0.582-0.19-0.851c0.01-0.002,0.017-0.007,0.021-0.021c0.076-0.344,2.147-1.544,2.299-1.659c0.153-0.114,0.55-0.378,0.506-1.183c-0.015-0.265-0.058-0.294-2.232-0.286c-0.917,0.003-1.425-0.894-1.589-1.245c0.222-1.231,0.863-2.11,1.919-2.704c0.02-0.011,0.015-0.021-0.008-0.027c0.219-0.127-2.524-0.006-3.76,1.604C9.674,8.045,9.219,7.95,8.71,7.95c-0.638,0-1.139,0.07-1.603,0.187c-0.05,0.013-0.122,0.011-0.208-0.001C6.769,8.04,6.575,7.88,6.365,7.672c0.161-0.18,0.324-0.356,0.495-0.526C9.201,4.804,12.43,3.357,16.002,3.356z"  # noqa
+
+
+def svg_parse(path):
+    commands = {'M': (Path.MOVETO,),
+                'L': (Path.LINETO,),
+                'Q': (Path.CURVE3,)*2,
+                'C': (Path.CURVE4,)*3,
+                'Z': (Path.CLOSEPOLY,)}
+    vertices = []
+    codes = []
+    cmd_values = re.split("([A-Za-z])", path)[1:]  # Split over commands.
+    for cmd, values in zip(cmd_values[::2], cmd_values[1::2]):
+        # Numbers are separated either by commas, or by +/- signs (but not at
+        # the beginning of the string).
+        points = ([*map(float, re.split(",|(?<!^)(?=[+-])", values))] if values
+                  else [(0., 0.)])  # Only for "z/Z" (CLOSEPOLY).
+        points = np.reshape(points, (-1, 2))
+        if cmd.islower():
+            points += vertices[-1][-1]
+        codes.extend(commands[cmd.upper()])
+        vertices.append(points)
+    return np.array(codes), np.concatenate(vertices)
+
+
+# SVG to Matplotlib
+codes, verts = svg_parse(firefox)
+path = Path(verts, codes)
+
+xmin, ymin = verts.min(axis=0) - 1
+xmax, ymax = verts.max(axis=0) + 1
+
+fig = plt.figure(figsize=(5, 5), facecolor="0.75")  # gray background
+ax = fig.add_axes([0, 0, 1, 1], frameon=False, aspect=1,
+                  xlim=(xmin, xmax),  # centering
+                  ylim=(ymax, ymin),  # centering, upside down
+                  xticks=[], yticks=[])  # no ticks
+
+# White outline (width = 6)
+ax.add_patch(patches.PathPatch(path, facecolor='none', edgecolor='w', lw=6))
+# Actual shape with black outline
+ax.add_patch(patches.PathPatch(path, facecolor='orange', edgecolor='k', lw=2))
+
+plt.show()  # Display
diff --git a/galleries/examples/showcase/integral.py b/galleries/examples/showcase/integral.py
new file mode 100644
index 000000000000..69e58df3e818
--- /dev/null
+++ b/galleries/examples/showcase/integral.py
@@ -0,0 +1,50 @@
+"""
+==================================
+Integral as the area under a curve
+==================================
+
+Although this is a simple example, it demonstrates some important tweaks:
+
+* A simple line plot with custom color and line width.
+* A shaded region created using a Polygon patch.
+* A text label with mathtext rendering.
+* figtext calls to label the x- and y-axes.
+* Use of axis spines to hide the top and right spines.
+* Custom tick placement and labels.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Polygon
+
+
+def func(x):
+    return (x - 3) * (x - 5) * (x - 7) + 85
+
+
+a, b = 2, 9  # integral limits
+x = np.linspace(0, 10)
+y = func(x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y, 'r', linewidth=2)
+ax.set_ylim(bottom=0)
+
+# Make the shaded region
+ix = np.linspace(a, b)
+iy = func(ix)
+verts = [(a, 0), *zip(ix, iy), (b, 0)]
+poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')
+ax.add_patch(poly)
+
+ax.text(0.5 * (a + b), 30, r"$\int_a^b f(x)\mathrm{d}x$",
+        horizontalalignment='center', fontsize=20)
+
+fig.text(0.9, 0.05, '$x$')
+fig.text(0.1, 0.9, '$y$')
+
+ax.spines[['top', 'right']].set_visible(False)
+ax.set_xticks([a, b], labels=['$a$', '$b$'])
+ax.set_yticks([])
+
+plt.show()
diff --git a/galleries/examples/showcase/mandelbrot.py b/galleries/examples/showcase/mandelbrot.py
new file mode 100644
index 000000000000..ab40a061dc03
--- /dev/null
+++ b/galleries/examples/showcase/mandelbrot.py
@@ -0,0 +1,75 @@
+"""
+===================================
+Shaded & power normalized rendering
+===================================
+
+The Mandelbrot set rendering can be improved by using a normalized recount
+associated with a power normalized colormap (gamma=0.3). Rendering can be
+further enhanced thanks to shading.
+
+The ``maxiter`` gives the precision of the computation. ``maxiter=200`` should
+take a few seconds on most modern laptops.
+"""
+import numpy as np
+
+
+def mandelbrot_set(xmin, xmax, ymin, ymax, xn, yn, maxiter, horizon=2.0):
+    X = np.linspace(xmin, xmax, xn).astype(np.float32)
+    Y = np.linspace(ymin, ymax, yn).astype(np.float32)
+    C = X + Y[:, None] * 1j
+    N = np.zeros_like(C, dtype=int)
+    Z = np.zeros_like(C)
+    for n in range(maxiter):
+        I = abs(Z) < horizon
+        N[I] = n
+        Z[I] = Z[I]**2 + C[I]
+    N[N == maxiter-1] = 0
+    return Z, N
+
+
+if __name__ == '__main__':
+    import time
+
+    import matplotlib.pyplot as plt
+
+    import matplotlib
+    from matplotlib import colors
+
+    xmin, xmax, xn = -2.25, +0.75, 3000 // 2
+    ymin, ymax, yn = -1.25, +1.25, 2500 // 2
+    maxiter = 200
+    horizon = 2.0 ** 40
+    log_horizon = np.log2(np.log(horizon))
+    Z, N = mandelbrot_set(xmin, xmax, ymin, ymax, xn, yn, maxiter, horizon)
+
+    # Normalized recount as explained in:
+    # https://linas.org/art-gallery/escape/smooth.html
+    # https://web.archive.org/web/20160331171238/https://www.ibm.com/developerworks/community/blogs/jfp/entry/My_Christmas_Gift?lang=en
+
+    # This line will generate warnings for null values, but it is faster to
+    # process them afterwards using the nan_to_num
+    with np.errstate(invalid='ignore'):
+        M = np.nan_to_num(N + 1 - np.log2(np.log(abs(Z))) + log_horizon)
+
+    dpi = 72
+    width = 10
+    height = 10*yn/xn
+    fig = plt.figure(figsize=(width, height), dpi=dpi)
+    ax = fig.add_axes([0, 0, 1, 1], frameon=False, aspect=1)
+
+    # Shaded rendering
+    light = colors.LightSource(azdeg=315, altdeg=10)
+    M = light.shade(M, cmap=plt.colormaps["hot"], vert_exag=1.5,
+                    norm=colors.PowerNorm(0.3), blend_mode='hsv')
+    ax.imshow(M, extent=[xmin, xmax, ymin, ymax], interpolation="bicubic")
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+    # Some advertisement for matplotlib
+    year = time.strftime("%Y")
+    text = ("The Mandelbrot fractal set\n"
+            "Rendered with matplotlib %s, %s - https://matplotlib.org"
+            % (matplotlib.__version__, year))
+    ax.text(xmin+.025, ymin+.025, text, color="white", fontsize=12, alpha=0.5)
+
+    plt.show()
diff --git a/galleries/examples/showcase/pan_zoom_overlap.py b/galleries/examples/showcase/pan_zoom_overlap.py
new file mode 100644
index 000000000000..6650b90f01b2
--- /dev/null
+++ b/galleries/examples/showcase/pan_zoom_overlap.py
@@ -0,0 +1,74 @@
+"""
+===================================
+Pan/zoom events of overlapping axes
+===================================
+
+Example to illustrate how pan/zoom events of overlapping axes are treated.
+
+
+The default is the following:
+
+- Axes with a visible patch capture pan/zoom events
+- Axes with an invisible patch forward pan/zoom events to axes below
+- Shared axes always trigger with their parent axes
+  (irrespective of the patch visibility)
+
+Note: The visibility of the patch hereby refers to the value of
+``ax.patch.get_visible()``. The color and transparency of a
+patch have no effect on the treatment of pan/zoom events!
+
+
+``ax.set_forward_navigation_events(val)`` can be used to override the
+default behaviour:
+
+- ``True``:  Forward navigation events to axes below.
+- ``False``: Execute navigation events only on this axes.
+- ``"auto"``: Use the default behaviour.
+
+To disable pan/zoom events completely, use ``ax.set_navigate(False)``
+
+"""
+
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure(figsize=(11, 6))
+fig.suptitle("Showcase for pan/zoom events on overlapping axes.")
+
+ax = fig.add_axes((.05, .05, .9, .9))
+ax.patch.set_color(".75")
+ax_twin = ax.twinx()
+
+ax1 = fig.add_subplot(221)
+ax1_twin = ax1.twinx()
+ax1.text(.5, .5,
+         "Visible patch\n\n"
+         "Pan/zoom events are NOT\n"
+         "forwarded to axes below",
+         ha="center", va="center", transform=ax1.transAxes)
+
+ax11 = fig.add_subplot(223, sharex=ax1, sharey=ax1)
+ax11.set_forward_navigation_events(True)
+ax11.text(.5, .5,
+          "Visible patch\n\n"
+          "Override capture behavior:\n\n"
+          "ax.set_forward_navigation_events(True)",
+          ha="center", va="center", transform=ax11.transAxes)
+
+ax2 = fig.add_subplot(222)
+ax2_twin = ax2.twinx()
+ax2.patch.set_visible(False)
+ax2.text(.5, .5,
+         "Invisible patch\n\n"
+         "Pan/zoom events are\n"
+         "forwarded to axes below",
+         ha="center", va="center", transform=ax2.transAxes)
+
+ax22 = fig.add_subplot(224, sharex=ax2, sharey=ax2)
+ax22.patch.set_visible(False)
+ax22.set_forward_navigation_events(False)
+ax22.text(.5, .5,
+          "Invisible patch\n\n"
+          "Override capture behavior:\n\n"
+          "ax.set_forward_navigation_events(False)",
+          ha="center", va="center", transform=ax22.transAxes)
diff --git a/galleries/examples/showcase/stock_prices.py b/galleries/examples/showcase/stock_prices.py
new file mode 100644
index 000000000000..bc372fb1211a
--- /dev/null
+++ b/galleries/examples/showcase/stock_prices.py
@@ -0,0 +1,114 @@
+"""
+==========================
+Stock prices over 32 years
+==========================
+
+.. redirect-from:: /gallery/showcase/bachelors_degrees_by_gender
+
+A graph of multiple time series that demonstrates custom styling of plot frame,
+tick lines, tick labels, and line graph properties. It also uses custom
+placement of text labels along the right edge as an alternative to a
+conventional legend.
+
+Note: The third-party mpl style dufte_ produces similar-looking plots with less
+code.
+
+.. _dufte: https://github.com/nschloe/dufte
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.cbook import get_sample_data
+import matplotlib.transforms as mtransforms
+
+with get_sample_data('Stocks.csv') as file:
+    stock_data = np.genfromtxt(
+        file, delimiter=',', names=True, dtype=None,
+        converters={0: lambda x: np.datetime64(x, 'D')}, skip_header=1)
+
+fig, ax = plt.subplots(1, 1, figsize=(6, 8), layout='constrained')
+
+# These are the colors that will be used in the plot
+ax.set_prop_cycle(color=[
+    '#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c', '#98df8a',
+    '#d62728', '#ff9896', '#9467bd', '#c5b0d5', '#8c564b', '#c49c94',
+    '#e377c2', '#f7b6d2', '#7f7f7f', '#c7c7c7', '#bcbd22', '#dbdb8d',
+    '#17becf', '#9edae5'])
+
+stocks_name = ['IBM', 'Apple', 'Microsoft', 'Xerox', 'Amazon', 'Dell',
+               'Alphabet', 'Adobe', 'S&P 500', 'NASDAQ']
+stocks_ticker = ['IBM', 'AAPL', 'MSFT', 'XRX', 'AMZN', 'DELL', 'GOOGL',
+                 'ADBE', 'GSPC', 'IXIC']
+
+# Manually adjust the label positions vertically (units are points = 1/72 inch)
+y_offsets = dict.fromkeys(stocks_ticker, 0)
+y_offsets['IBM'] = 5
+y_offsets['AAPL'] = -5
+y_offsets['AMZN'] = -6
+
+for nn, column in enumerate(stocks_ticker):
+    # Plot each line separately with its own color.
+    # don't include any data with NaN.
+    good = np.nonzero(np.isfinite(stock_data[column]))
+    line, = ax.plot(stock_data['Date'][good], stock_data[column][good], lw=2.5)
+
+    # Add a text label to the right end of every line. Most of the code below
+    # is adding specific offsets y position because some labels overlapped.
+    y_pos = stock_data[column][-1]
+
+    # Use an offset transform, in points, for any text that needs to be nudged
+    # up or down.
+    offset = y_offsets[column] / 72
+    trans = mtransforms.ScaledTranslation(0, offset, fig.dpi_scale_trans)
+    trans = ax.transData + trans
+
+    # Again, make sure that all labels are large enough to be easily read
+    # by the viewer.
+    ax.text(np.datetime64('2022-10-01'), y_pos, stocks_name[nn],
+            color=line.get_color(), transform=trans)
+
+ax.set_xlim(np.datetime64('1989-06-01'), np.datetime64('2023-01-01'))
+
+fig.suptitle("Technology company stocks prices dollars (1990-2022)",
+             ha="center")
+
+# Remove the plot frame lines. They are unnecessary here.
+ax.spines[:].set_visible(False)
+
+# Ensure that the axis ticks only show up on the bottom and left of the plot.
+# Ticks on the right and top of the plot are generally unnecessary.
+ax.xaxis.tick_bottom()
+ax.yaxis.tick_left()
+ax.set_yscale('log')
+
+# Provide tick lines across the plot to help your viewers trace along
+# the axis ticks. Make sure that the lines are light and small so they
+# don't obscure the primary data lines.
+ax.grid(True, 'major', 'both', ls='--', lw=.5, c='k', alpha=.3)
+
+# Remove the tick marks; they are unnecessary with the tick lines we just
+# plotted. Make sure your axis ticks are large enough to be easily read.
+# You don't want your viewers squinting to read your plot.
+ax.tick_params(axis='both', which='both', labelsize='large',
+               bottom=False, top=False, labelbottom=True,
+               left=False, right=False, labelleft=True)
+
+# Finally, save the figure as a PNG.
+# You can also save it as a PDF, JPEG, etc.
+# Just change the file extension in this call.
+# fig.savefig('stock-prices.png', bbox_inches='tight')
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.axes.Axes.text`
+#    - `matplotlib.axis.XAxis.tick_bottom`
+#    - `matplotlib.axis.YAxis.tick_left`
+#    - `matplotlib.artist.Artist.set_visible`
diff --git a/galleries/examples/showcase/xkcd.py b/galleries/examples/showcase/xkcd.py
new file mode 100644
index 000000000000..3d6d5418a13f
--- /dev/null
+++ b/galleries/examples/showcase/xkcd.py
@@ -0,0 +1,72 @@
+"""
+====
+XKCD
+====
+
+Shows how to create an xkcd-like plot.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+
+with plt.xkcd():
+    # Based on "Stove Ownership" from XKCD by Randall Munroe
+    # https://xkcd.com/418/
+
+    fig = plt.figure()
+    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
+    ax.spines[['top', 'right']].set_visible(False)
+    ax.set_xticks([])
+    ax.set_yticks([])
+    ax.set_ylim([-30, 10])
+
+    data = np.ones(100)
+    data[70:] -= np.arange(30)
+
+    ax.annotate(
+        'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
+        xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
+
+    ax.plot(data)
+
+    ax.set_xlabel('time')
+    ax.set_ylabel('my overall health')
+    fig.text(
+        0.5, 0.05,
+        '"Stove Ownership" from xkcd by Randall Munroe',
+        ha='center')
+
+# %%
+
+with plt.xkcd():
+    # Based on "The Data So Far" from XKCD by Randall Munroe
+    # https://xkcd.com/373/
+
+    fig = plt.figure()
+    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
+    ax.bar([0, 1], [0, 100], 0.25)
+    ax.spines[['top', 'right']].set_visible(False)
+    ax.xaxis.set_ticks_position('bottom')
+    ax.set_xticks([0, 1])
+    ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
+    ax.set_xlim([-0.5, 1.5])
+    ax.set_yticks([])
+    ax.set_ylim([0, 110])
+
+    ax.set_title("CLAIMS OF SUPERNATURAL POWERS")
+
+    fig.text(
+        0.5, 0.05,
+        '"The Data So Far" from xkcd by Randall Munroe',
+        ha='center')
+
+plt.show()
+
+#
+# %%
+# .. tags::
+#
+#    plot-type: line
+#    plot-type: bar
+#    purpose: fun
diff --git a/galleries/examples/specialty_plots/README.txt b/galleries/examples/specialty_plots/README.txt
new file mode 100644
index 000000000000..fc1bf44d3b92
--- /dev/null
+++ b/galleries/examples/specialty_plots/README.txt
@@ -0,0 +1,4 @@
+.. _specialty_plots_examples:
+
+Specialty plots
+===============
diff --git a/examples/specialty_plots/advanced_hillshading.py b/galleries/examples/specialty_plots/advanced_hillshading.py
similarity index 78%
rename from examples/specialty_plots/advanced_hillshading.py
rename to galleries/examples/specialty_plots/advanced_hillshading.py
index 92b88f426201..a542fe409359 100644
--- a/examples/specialty_plots/advanced_hillshading.py
+++ b/galleries/examples/specialty_plots/advanced_hillshading.py
@@ -1,8 +1,13 @@
 """
+===========
+Hillshading
+===========
+
 Demonstrates a few common tricks with shaded plots.
 """
-import numpy as np
 import matplotlib.pyplot as plt
+import numpy as np
+
 from matplotlib.colors import LightSource, Normalize
 
 
@@ -11,17 +16,17 @@ def display_colorbar():
     y, x = np.mgrid[-4:2:200j, -4:2:200j]
     z = 10 * np.cos(x**2 + y**2)
 
-    cmap = plt.cm.copper
+    cmap = plt.colormaps["copper"]
     ls = LightSource(315, 45)
     rgb = ls.shade(z, cmap)
 
     fig, ax = plt.subplots()
-    ax.imshow(rgb)
+    ax.imshow(rgb, interpolation='bilinear')
 
     # Use a proxy artist for the colorbar...
     im = ax.imshow(z, cmap=cmap)
     im.remove()
-    fig.colorbar(im)
+    fig.colorbar(im, ax=ax)
 
     ax.set_title('Using a colorbar with a shaded plot', size='x-large')
 
@@ -38,12 +43,12 @@ def avoid_outliers():
     ls = LightSource(315, 45)
     fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4.5))
 
-    rgb = ls.shade(z, plt.cm.copper)
-    ax1.imshow(rgb)
+    rgb = ls.shade(z, plt.colormaps["copper"])
+    ax1.imshow(rgb, interpolation='bilinear')
     ax1.set_title('Full range of data')
 
-    rgb = ls.shade(z, plt.cm.copper, vmin=-10, vmax=10)
-    ax2.imshow(rgb)
+    rgb = ls.shade(z, plt.colormaps["copper"], vmin=-10, vmax=10)
+    ax2.imshow(rgb, interpolation='bilinear')
     ax2.set_title('Manually set range')
 
     fig.suptitle('Avoiding Outliers in Shaded Plots', size='x-large')
@@ -56,13 +61,13 @@ def shade_other_data():
     z2 = np.cos(x**2 + y**2)  # Data to color
 
     norm = Normalize(z2.min(), z2.max())
-    cmap = plt.cm.jet
+    cmap = plt.colormaps["RdBu"]
 
     ls = LightSource(315, 45)
     rgb = ls.shade_rgb(cmap(norm(z2)), z1)
 
     fig, ax = plt.subplots()
-    ax.imshow(rgb)
+    ax.imshow(rgb, interpolation='bilinear')
     ax.set_title('Shade by one variable, color by another', size='x-large')
 
 display_colorbar()
diff --git a/galleries/examples/specialty_plots/anscombe.py b/galleries/examples/specialty_plots/anscombe.py
new file mode 100644
index 000000000000..333eb6ef42c2
--- /dev/null
+++ b/galleries/examples/specialty_plots/anscombe.py
@@ -0,0 +1,65 @@
+"""
+==================
+Anscombe's quartet
+==================
+
+`Anscombe's quartet`_ is a group of datasets (x, y) that have the same mean,
+standard deviation, and regression line, but which are qualitatively different.
+
+It is often used to illustrate the importance of looking at a set of data
+graphically and not only relying on basic statistic properties.
+
+.. _Anscombe's quartet: https://en.wikipedia.org/wiki/Anscombe%27s_quartet
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = [10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5]
+y1 = [8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68]
+y2 = [9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74]
+y3 = [7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73]
+x4 = [8, 8, 8, 8, 8, 8, 8, 19, 8, 8, 8]
+y4 = [6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89]
+
+datasets = {
+    'I': (x, y1),
+    'II': (x, y2),
+    'III': (x, y3),
+    'IV': (x4, y4)
+}
+
+fig, axs = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(6, 6),
+                        gridspec_kw={'wspace': 0.08, 'hspace': 0.08})
+axs[0, 0].set(xlim=(0, 20), ylim=(2, 14))
+axs[0, 0].set(xticks=(0, 10, 20), yticks=(4, 8, 12))
+
+for ax, (label, (x, y)) in zip(axs.flat, datasets.items()):
+    ax.text(0.1, 0.9, label, fontsize=20, transform=ax.transAxes, va='top')
+    ax.tick_params(direction='in', top=True, right=True)
+    ax.plot(x, y, 'o')
+
+    # linear regression
+    p1, p0 = np.polyfit(x, y, deg=1)  # slope, intercept
+    ax.axline(xy1=(0, p0), slope=p1, color='r', lw=2)
+
+    # add text box for the statistics
+    stats = (f'$\\mu$ = {np.mean(y):.2f}\n'
+             f'$\\sigma$ = {np.std(y):.2f}\n'
+             f'$r$ = {np.corrcoef(x, y)[0][1]:.2f}')
+    bbox = dict(boxstyle='round', fc='blanchedalmond', ec='orange', alpha=0.5)
+    ax.text(0.95, 0.07, stats, fontsize=9, bbox=bbox,
+            transform=ax.transAxes, horizontalalignment='right')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.axline` / `matplotlib.pyplot.axline`
+#    - `matplotlib.axes.Axes.text` / `matplotlib.pyplot.text`
+#    - `matplotlib.axes.Axes.tick_params` / matplotlib.pyplot.tick_params`
diff --git a/examples/specialty_plots/hinton_demo.py b/galleries/examples/specialty_plots/hinton_demo.py
similarity index 82%
rename from examples/specialty_plots/hinton_demo.py
rename to galleries/examples/specialty_plots/hinton_demo.py
index aea117827cc4..c47b79fb3acb 100644
--- a/examples/specialty_plots/hinton_demo.py
+++ b/galleries/examples/specialty_plots/hinton_demo.py
@@ -1,5 +1,7 @@
 """
-Demo of a function to create Hinton diagrams.
+===============
+Hinton diagrams
+===============
 
 Hinton diagrams are useful for visualizing the values of a 2D array (e.g.
 a weight matrix): Positive and negative values are represented by white and
@@ -8,8 +10,8 @@
 
 Initial idea from David Warde-Farley on the SciPy Cookbook
 """
-import numpy as np
 import matplotlib.pyplot as plt
+import numpy as np
 
 
 def hinton(matrix, max_weight=None, ax=None):
@@ -17,7 +19,7 @@ def hinton(matrix, max_weight=None, ax=None):
     ax = ax if ax is not None else plt.gca()
 
     if not max_weight:
-        max_weight = 2**np.ceil(np.log(np.abs(matrix).max())/np.log(2))
+        max_weight = 2 ** np.ceil(np.log2(np.abs(matrix).max()))
 
     ax.patch.set_facecolor('gray')
     ax.set_aspect('equal', 'box')
@@ -26,7 +28,7 @@ def hinton(matrix, max_weight=None, ax=None):
 
     for (x, y), w in np.ndenumerate(matrix):
         color = 'white' if w > 0 else 'black'
-        size = np.sqrt(np.abs(w))
+        size = np.sqrt(abs(w) / max_weight)
         rect = plt.Rectangle([x - size / 2, y - size / 2], size, size,
                              facecolor=color, edgecolor=color)
         ax.add_patch(rect)
@@ -36,5 +38,8 @@ def hinton(matrix, max_weight=None, ax=None):
 
 
 if __name__ == '__main__':
+    # Fixing random state for reproducibility
+    np.random.seed(19680801)
+
     hinton(np.random.rand(20, 20) - 0.5)
     plt.show()
diff --git a/galleries/examples/specialty_plots/ishikawa_diagram.py b/galleries/examples/specialty_plots/ishikawa_diagram.py
new file mode 100644
index 000000000000..072d7b463c00
--- /dev/null
+++ b/galleries/examples/specialty_plots/ishikawa_diagram.py
@@ -0,0 +1,196 @@
+"""
+================
+Ishikawa Diagram
+================
+
+Ishikawa Diagrams, fishbone diagrams, herringbone diagrams, or cause-and-effect
+diagrams are used to identify problems in a system by showing how causes and
+effects are linked.
+Source: https://en.wikipedia.org/wiki/Ishikawa_diagram
+
+"""
+import math
+
+import matplotlib.pyplot as plt
+
+from matplotlib.patches import Polygon, Wedge
+
+fig, ax = plt.subplots(figsize=(10, 6), layout='constrained')
+ax.set_xlim(-5, 5)
+ax.set_ylim(-5, 5)
+ax.axis('off')
+
+
+def problems(data: str,
+             problem_x: float, problem_y: float,
+             angle_x: float, angle_y: float):
+    """
+    Draw each problem section of the Ishikawa plot.
+
+    Parameters
+    ----------
+    data : str
+        The name of the problem category.
+    problem_x, problem_y : float, optional
+        The `X` and `Y` positions of the problem arrows (`Y` defaults to zero).
+    angle_x, angle_y : float, optional
+        The angle of the problem annotations. They are always angled towards
+        the tail of the plot.
+
+    Returns
+    -------
+    None.
+
+    """
+    ax.annotate(str.upper(data), xy=(problem_x, problem_y),
+                xytext=(angle_x, angle_y),
+                fontsize=10,
+                color='white',
+                weight='bold',
+                xycoords='data',
+                verticalalignment='center',
+                horizontalalignment='center',
+                textcoords='offset fontsize',
+                arrowprops=dict(arrowstyle="->", facecolor='black'),
+                bbox=dict(boxstyle='square',
+                          facecolor='tab:blue',
+                          pad=0.8))
+
+
+def causes(data: list,
+           cause_x: float, cause_y: float,
+           cause_xytext=(-9, -0.3), top: bool = True):
+    """
+    Place each cause to a position relative to the problems
+    annotations.
+
+    Parameters
+    ----------
+    data : indexable object
+        The input data. IndexError is
+        raised if more than six arguments are passed.
+    cause_x, cause_y : float
+        The `X` and `Y` position of the cause annotations.
+    cause_xytext : tuple, optional
+        Adjust to set the distance of the cause text from the problem
+        arrow in fontsize units.
+    top : bool, default: True
+        Determines whether the next cause annotation will be
+        plotted above or below the previous one.
+
+    Returns
+    -------
+    None.
+
+    """
+    for index, cause in enumerate(data):
+        # [<x pos>, <y pos>]
+        coords = [[0.02, 0],
+                  [0.23, 0.5],
+                  [-0.46, -1],
+                  [0.69, 1.5],
+                  [-0.92, -2],
+                  [1.15, 2.5]]
+
+        # First 'cause' annotation is placed in the middle of the 'problems' arrow
+        # and each subsequent cause is plotted above or below it in succession.
+        cause_x -= coords[index][0]
+        cause_y += coords[index][1] if top else -coords[index][1]
+
+        ax.annotate(cause, xy=(cause_x, cause_y),
+                    horizontalalignment='center',
+                    xytext=cause_xytext,
+                    fontsize=9,
+                    xycoords='data',
+                    textcoords='offset fontsize',
+                    arrowprops=dict(arrowstyle="->",
+                                    facecolor='black'))
+
+
+def draw_body(data: dict):
+    """
+    Place each problem section in its correct place by changing
+    the coordinates on each loop.
+
+    Parameters
+    ----------
+    data : dict
+        The input data (can be a dict of lists or tuples). ValueError
+        is raised if more than six arguments are passed.
+
+    Returns
+    -------
+    None.
+
+    """
+    # Set the length of the spine according to the number of 'problem' categories.
+    length = (math.ceil(len(data) / 2)) - 1
+    draw_spine(-2 - length, 2 + length)
+
+    # Change the coordinates of the 'problem' annotations after each one is rendered.
+    offset = 0
+    prob_section = [1.55, 0.8]
+    for index, problem in enumerate(data.values()):
+        plot_above = index % 2 == 0
+        cause_arrow_y = 1.7 if plot_above else -1.7
+        y_prob_angle = 16 if plot_above else -16
+
+        # Plot each section in pairs along the main spine.
+        prob_arrow_x = prob_section[0] + length + offset
+        cause_arrow_x = prob_section[1] + length + offset
+        if not plot_above:
+            offset -= 2.5
+        if index > 5:
+            raise ValueError(f'Maximum number of problems is 6, you have entered '
+                             f'{len(data)}')
+
+        problems(list(data.keys())[index], prob_arrow_x, 0, -12, y_prob_angle)
+        causes(problem, cause_arrow_x, cause_arrow_y, top=plot_above)
+
+
+def draw_spine(xmin: int, xmax: int):
+    """
+    Draw main spine, head and tail.
+
+    Parameters
+    ----------
+    xmin : int
+        The default position of the head of the spine's
+        x-coordinate.
+    xmax : int
+        The default position of the tail of the spine's
+        x-coordinate.
+
+    Returns
+    -------
+    None.
+
+    """
+    # draw main spine
+    ax.plot([xmin - 0.1, xmax], [0, 0], color='tab:blue', linewidth=2)
+    # draw fish head
+    ax.text(xmax + 0.1, - 0.05, 'PROBLEM', fontsize=10,
+            weight='bold', color='white')
+    semicircle = Wedge((xmax, 0), 1, 270, 90, fc='tab:blue')
+    ax.add_patch(semicircle)
+    # draw fish tail
+    tail_pos = [[xmin - 0.8, 0.8], [xmin - 0.8, -0.8], [xmin, -0.01]]
+    triangle = Polygon(tail_pos, fc='tab:blue')
+    ax.add_patch(triangle)
+
+
+# Input data
+categories = {
+    'Method': ['Time consumption', 'Cost', 'Procedures', 'Inefficient process',
+               'Sampling'],
+    'Machine': ['Faulty equipment', 'Compatibility'],
+    'Material': ['Poor-quality input', 'Raw materials', 'Supplier',
+                 'Shortage'],
+    'Measurement': ['Calibration', 'Performance', 'Wrong measurements'],
+    'Environment': ['Bad conditions'],
+    'People': ['Lack of training', 'Managers', 'Labor shortage',
+               'Procedures', 'Sales strategy']
+}
+
+draw_body(categories)
+plt.show()
diff --git a/galleries/examples/specialty_plots/leftventricle_bullseye.py b/galleries/examples/specialty_plots/leftventricle_bullseye.py
new file mode 100644
index 000000000000..3ad02edbc630
--- /dev/null
+++ b/galleries/examples/specialty_plots/leftventricle_bullseye.py
@@ -0,0 +1,153 @@
+"""
+=======================
+Left ventricle bullseye
+=======================
+
+This example demonstrates how to create the 17 segment model for the left
+ventricle recommended by the American Heart Association (AHA).
+
+.. redirect-from:: /gallery/specialty_plots/leftventricle_bulleye
+
+See also the :doc:`/gallery/pie_and_polar_charts/nested_pie` example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+
+def bullseye_plot(ax, data, seg_bold=None, cmap="viridis", norm=None):
+    """
+    Bullseye representation for the left ventricle.
+
+    Parameters
+    ----------
+    ax : Axes
+    data : list[float]
+        The intensity values for each of the 17 segments.
+    seg_bold : list[int], optional
+        A list with the segments to highlight.
+    cmap : colormap, default: "viridis"
+        Colormap for the data.
+    norm : Normalize or None, optional
+        Normalizer for the data.
+
+    Notes
+    -----
+    This function creates the 17 segment model for the left ventricle according
+    to the American Heart Association (AHA) [1]_
+
+    References
+    ----------
+    .. [1] M. D. Cerqueira, N. J. Weissman, V. Dilsizian, A. K. Jacobs,
+        S. Kaul, W. K. Laskey, D. J. Pennell, J. A. Rumberger, T. Ryan,
+        and M. S. Verani, "Standardized myocardial segmentation and
+        nomenclature for tomographic imaging of the heart",
+        Circulation, vol. 105, no. 4, pp. 539-542, 2002.
+    """
+
+    data = np.ravel(data)
+    if seg_bold is None:
+        seg_bold = []
+    if norm is None:
+        norm = mpl.colors.Normalize(vmin=data.min(), vmax=data.max())
+
+    r = np.linspace(0.2, 1, 4)
+
+    ax.set(ylim=[0, 1], xticklabels=[], yticklabels=[])
+    ax.grid(False)  # Remove grid
+
+    # Fill segments 1-6, 7-12, 13-16.
+    for start, stop, r_in, r_out in [
+            (0, 6, r[2], r[3]),
+            (6, 12, r[1], r[2]),
+            (12, 16, r[0], r[1]),
+            (16, 17, 0, r[0]),
+    ]:
+        n = stop - start
+        dtheta = 2*np.pi / n
+        ax.bar(np.arange(n) * dtheta + np.pi/2, r_out - r_in, dtheta, r_in,
+               color=cmap(norm(data[start:stop])))
+
+    # Now, draw the segment borders.  In order for the outer bold borders not
+    # to be covered by inner segments, the borders are all drawn separately
+    # after the segments have all been filled.  We also disable clipping, which
+    # would otherwise affect the outermost segment edges.
+    # Draw edges of segments 1-6, 7-12, 13-16.
+    for start, stop, r_in, r_out in [
+            (0, 6, r[2], r[3]),
+            (6, 12, r[1], r[2]),
+            (12, 16, r[0], r[1]),
+    ]:
+        n = stop - start
+        dtheta = 2*np.pi / n
+        ax.bar(np.arange(n) * dtheta + np.pi/2, r_out - r_in, dtheta, r_in,
+               clip_on=False, color="none", edgecolor="k", linewidth=[
+                   4 if i + 1 in seg_bold else 2 for i in range(start, stop)])
+    # Draw edge of segment 17 -- here; the edge needs to be drawn differently,
+    # using plot().
+    ax.plot(np.linspace(0, 2*np.pi), np.linspace(r[0], r[0]), "k",
+            linewidth=(4 if 17 in seg_bold else 2))
+
+
+# Create the fake data
+data = np.arange(17) + 1
+
+
+# Make a figure and Axes with dimensions as desired.
+fig = plt.figure(figsize=(10, 5), layout="constrained")
+fig.get_layout_engine().set(wspace=.1, w_pad=.2)
+axs = fig.subplots(1, 3, subplot_kw=dict(projection='polar'))
+fig.canvas.manager.set_window_title('Left Ventricle Bulls Eyes (AHA)')
+
+
+# Set the colormap and norm to correspond to the data for which
+# the colorbar will be used.
+cmap = mpl.colormaps["viridis"]
+norm = mpl.colors.Normalize(vmin=1, vmax=17)
+# Create an empty ScalarMappable to set the colorbar's colormap and norm.
+# The following gives a basic continuous colorbar with ticks and labels.
+fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap, norm=norm),
+             cax=axs[0].inset_axes([0, -.15, 1, .1]),
+             orientation='horizontal', label='Some units')
+
+
+# And again for the second colorbar.
+cmap2 = mpl.colormaps["cool"]
+norm2 = mpl.colors.Normalize(vmin=1, vmax=17)
+fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap2, norm=norm2),
+             cax=axs[1].inset_axes([0, -.15, 1, .1]),
+             orientation='horizontal', label='Some other units')
+
+
+# The second example illustrates the use of a ListedColormap, a
+# BoundaryNorm, and extended ends to show the "over" and "under"
+# value colors.
+cmap3 = mpl.colors.ListedColormap(['r', 'g', 'b', 'c'], over='0.35', under='0.75')
+# If a ListedColormap is used, the length of the bounds array must be
+# one greater than the length of the color list.  The bounds must be
+# monotonically increasing.
+bounds = [2, 3, 7, 9, 15]
+norm3 = mpl.colors.BoundaryNorm(bounds, cmap3.N)
+fig.colorbar(mpl.cm.ScalarMappable(cmap=cmap3, norm=norm3),
+             cax=axs[2].inset_axes([0, -.15, 1, .1]),
+             extend='both',
+             ticks=bounds,  # optional
+             spacing='proportional',
+             orientation='horizontal',
+             label='Discrete intervals, some other units')
+
+
+# Create the 17 segment model
+bullseye_plot(axs[0], data, cmap=cmap, norm=norm)
+axs[0].set_title('Bulls Eye (AHA)')
+
+bullseye_plot(axs[1], data, cmap=cmap2, norm=norm2)
+axs[1].set_title('Bulls Eye (AHA)')
+
+bullseye_plot(axs[2], data, seg_bold=[3, 5, 6, 11, 12, 16],
+              cmap=cmap3, norm=norm3)
+axs[2].set_title('Segments [3, 5, 6, 11, 12, 16] in bold')
+
+plt.show()
diff --git a/galleries/examples/specialty_plots/mri_with_eeg.py b/galleries/examples/specialty_plots/mri_with_eeg.py
new file mode 100644
index 000000000000..8197250ddbe6
--- /dev/null
+++ b/galleries/examples/specialty_plots/mri_with_eeg.py
@@ -0,0 +1,57 @@
+"""
+============
+MRI with EEG
+============
+
+Displays a set of subplots with an MRI image, its intensity
+histogram and some EEG traces.
+
+.. redirect-from:: /gallery/specialty_plots/mri_demo
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+
+fig, axd = plt.subplot_mosaic(
+    [["image", "density"],
+     ["EEG", "EEG"]],
+    layout="constrained",
+    # "image" will contain a square image. We fine-tune the width so that
+    # there is no excess horizontal or vertical margin around the image.
+    width_ratios=[1.05, 2],
+)
+
+# Load the MRI data (256x256 16-bit integers)
+with cbook.get_sample_data('s1045.ima.gz') as dfile:
+    im = np.frombuffer(dfile.read(), np.uint16).reshape((256, 256))
+
+# Plot the MRI image
+axd["image"].imshow(im, cmap="gray")
+axd["image"].axis('off')
+
+# Plot the histogram of MRI intensity
+im = im[im.nonzero()]  # Ignore the background
+axd["density"].hist(im, bins=np.arange(0, 2**16+1, 512))
+axd["density"].set(xlabel='Intensity (a.u.)', xlim=(0, 2**16),
+                   ylabel='MRI density', yticks=[])
+axd["density"].minorticks_on()
+
+# Load the EEG data
+n_samples, n_rows = 800, 4
+with cbook.get_sample_data('eeg.dat') as eegfile:
+    data = np.fromfile(eegfile, dtype=float).reshape((n_samples, n_rows))
+t = 10 * np.arange(n_samples) / n_samples
+
+# Plot the EEG
+axd["EEG"].set_xlabel('Time (s)')
+axd["EEG"].set_xlim(0, 10)
+dy = (data.min() - data.max()) * 0.7  # Crowd them a bit.
+axd["EEG"].set_ylim(-dy, n_rows * dy)
+axd["EEG"].set_yticks([0, dy, 2*dy, 3*dy], labels=['PG3', 'PG5', 'PG7', 'PG9'])
+
+for i, data_col in enumerate(data.T):
+    axd["EEG"].plot(t, data_col + i*dy, color="C0")
+
+plt.show()
diff --git a/galleries/examples/specialty_plots/radar_chart.py b/galleries/examples/specialty_plots/radar_chart.py
new file mode 100644
index 000000000000..a2f6df717544
--- /dev/null
+++ b/galleries/examples/specialty_plots/radar_chart.py
@@ -0,0 +1,216 @@
+"""
+======================================
+Radar chart (aka spider or star chart)
+======================================
+
+This example creates a radar chart, also known as a spider or star chart [1]_.
+
+Although this example allows a frame of either 'circle' or 'polygon', polygon
+frames don't have proper gridlines (the lines are circles instead of polygons).
+It's possible to get a polygon grid by setting GRIDLINE_INTERPOLATION_STEPS in
+`matplotlib.axis` to the desired number of vertices, but the orientation of the
+polygon is not aligned with the radial axis.
+
+.. [1] https://en.wikipedia.org/wiki/Radar_chart
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Circle, RegularPolygon
+from matplotlib.path import Path
+from matplotlib.projections import register_projection
+from matplotlib.projections.polar import PolarAxes
+from matplotlib.spines import Spine
+from matplotlib.transforms import Affine2D
+
+
+def radar_factory(num_vars, frame='circle'):
+    """
+    Create a radar chart with `num_vars` Axes.
+
+    This function creates a RadarAxes projection and registers it.
+
+    Parameters
+    ----------
+    num_vars : int
+        Number of variables for radar chart.
+    frame : {'circle', 'polygon'}
+        Shape of frame surrounding Axes.
+
+    """
+    # calculate evenly-spaced axis angles
+    theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False)
+
+    class RadarTransform(PolarAxes.PolarTransform):
+
+        def transform_path_non_affine(self, path):
+            # Paths with non-unit interpolation steps correspond to gridlines,
+            # in which case we force interpolation (to defeat PolarTransform's
+            # autoconversion to circular arcs).
+            if path._interpolation_steps > 1:
+                path = path.interpolated(num_vars)
+            return Path(self.transform(path.vertices), path.codes)
+
+    class RadarAxes(PolarAxes):
+
+        name = 'radar'
+        PolarTransform = RadarTransform
+
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            # rotate plot such that the first axis is at the top
+            self.set_theta_zero_location('N')
+
+        def fill(self, *args, closed=True, **kwargs):
+            """Override fill so that line is closed by default"""
+            return super().fill(closed=closed, *args, **kwargs)
+
+        def plot(self, *args, **kwargs):
+            """Override plot so that line is closed by default"""
+            lines = super().plot(*args, **kwargs)
+            for line in lines:
+                self._close_line(line)
+
+        def _close_line(self, line):
+            x, y = line.get_data()
+            # FIXME: markers at x[0], y[0] get doubled-up
+            if x[0] != x[-1]:
+                x = np.append(x, x[0])
+                y = np.append(y, y[0])
+                line.set_data(x, y)
+
+        def set_varlabels(self, labels):
+            self.set_thetagrids(np.degrees(theta), labels)
+
+        def _gen_axes_patch(self):
+            # The Axes patch must be centered at (0.5, 0.5) and of radius 0.5
+            # in axes coordinates.
+            if frame == 'circle':
+                return Circle((0.5, 0.5), 0.5)
+            elif frame == 'polygon':
+                return RegularPolygon((0.5, 0.5), num_vars,
+                                      radius=.5, edgecolor="k")
+            else:
+                raise ValueError("Unknown value for 'frame': %s" % frame)
+
+        def _gen_axes_spines(self):
+            if frame == 'circle':
+                return super()._gen_axes_spines()
+            elif frame == 'polygon':
+                # spine_type must be 'left'/'right'/'top'/'bottom'/'circle'.
+                spine = Spine(axes=self,
+                              spine_type='circle',
+                              path=Path.unit_regular_polygon(num_vars))
+                # unit_regular_polygon gives a polygon of radius 1 centered at
+                # (0, 0) but we want a polygon of radius 0.5 centered at (0.5,
+                # 0.5) in axes coordinates.
+                spine.set_transform(Affine2D().scale(.5).translate(.5, .5)
+                                    + self.transAxes)
+                return {'polar': spine}
+            else:
+                raise ValueError("Unknown value for 'frame': %s" % frame)
+
+    register_projection(RadarAxes)
+    return theta
+
+
+def example_data():
+    # The following data is from the Denver Aerosol Sources and Health study.
+    # See doi:10.1016/j.atmosenv.2008.12.017
+    #
+    # The data are pollution source profile estimates for five modeled
+    # pollution sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical
+    # species. The radar charts are experimented with here to see if we can
+    # nicely visualize how the modeled source profiles change across four
+    # scenarios:
+    #  1) No gas-phase species present, just seven particulate counts on
+    #     Sulfate
+    #     Nitrate
+    #     Elemental Carbon (EC)
+    #     Organic Carbon fraction 1 (OC)
+    #     Organic Carbon fraction 2 (OC2)
+    #     Organic Carbon fraction 3 (OC3)
+    #     Pyrolyzed Organic Carbon (OP)
+    #  2)Inclusion of gas-phase specie carbon monoxide (CO)
+    #  3)Inclusion of gas-phase specie ozone (O3).
+    #  4)Inclusion of both gas-phase species is present...
+    data = [
+        ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'],
+        ('Basecase', [
+            [0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],
+            [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],
+            [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],
+            [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],
+            [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]]),
+        ('With CO', [
+            [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],
+            [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],
+            [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],
+            [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],
+            [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]]),
+        ('With O3', [
+            [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],
+            [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],
+            [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],
+            [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],
+            [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]]),
+        ('CO & O3', [
+            [0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],
+            [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],
+            [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],
+            [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],
+            [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]])
+    ]
+    return data
+
+
+if __name__ == '__main__':
+    N = 9
+    theta = radar_factory(N, frame='polygon')
+
+    data = example_data()
+    spoke_labels = data.pop(0)
+
+    fig, axs = plt.subplots(figsize=(9, 9), nrows=2, ncols=2,
+                            subplot_kw=dict(projection='radar'))
+    fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)
+
+    colors = ['b', 'r', 'g', 'm', 'y']
+    # Plot the four cases from the example data on separate Axes
+    for ax, (title, case_data) in zip(axs.flat, data):
+        ax.set_rgrids([0.2, 0.4, 0.6, 0.8])
+        ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),
+                     horizontalalignment='center', verticalalignment='center')
+        for d, color in zip(case_data, colors):
+            ax.plot(theta, d, color=color)
+            ax.fill(theta, d, facecolor=color, alpha=0.25, label='_nolegend_')
+        ax.set_varlabels(spoke_labels)
+
+    # add legend relative to top-left plot
+    labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')
+    legend = axs[0, 0].legend(labels, loc=(0.9, .95),
+                              labelspacing=0.1, fontsize='small')
+
+    fig.text(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',
+             horizontalalignment='center', color='black', weight='bold',
+             size='large')
+
+    plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.path`
+#    - `matplotlib.path.Path`
+#    - `matplotlib.spines`
+#    - `matplotlib.spines.Spine`
+#    - `matplotlib.projections`
+#    - `matplotlib.projections.polar`
+#    - `matplotlib.projections.polar.PolarAxes`
+#    - `matplotlib.projections.register_projection`
diff --git a/galleries/examples/specialty_plots/sankey_basics.py b/galleries/examples/specialty_plots/sankey_basics.py
new file mode 100644
index 000000000000..dd12b9430709
--- /dev/null
+++ b/galleries/examples/specialty_plots/sankey_basics.py
@@ -0,0 +1,113 @@
+"""
+================
+The Sankey class
+================
+
+Demonstrate the Sankey class by producing three basic diagrams.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.sankey import Sankey
+
+# %%
+# Example 1 -- Mostly defaults
+#
+# This demonstrates how to create a simple diagram by implicitly calling the
+# Sankey.add() method and by appending finish() to the call to the class.
+
+Sankey(flows=[0.25, 0.15, 0.60, -0.20, -0.15, -0.05, -0.50, -0.10],
+       labels=['', '', '', 'First', 'Second', 'Third', 'Fourth', 'Fifth'],
+       orientations=[-1, 1, 0, 1, 1, 1, 0, -1]).finish()
+plt.title("The default settings produce a diagram like this.")
+
+# %%
+# Notice:
+#
+# 1. Axes weren't provided when Sankey() was instantiated, so they were
+#    created automatically.
+# 2. The scale argument wasn't necessary since the data was already
+#    normalized.
+# 3. By default, the lengths of the paths are justified.
+
+
+# %%
+# Example 2
+#
+# This demonstrates:
+#
+# 1. Setting one path longer than the others
+# 2. Placing a label in the middle of the diagram
+# 3. Using the scale argument to normalize the flows
+# 4. Implicitly passing keyword arguments to PathPatch()
+# 5. Changing the angle of the arrow heads
+# 6. Changing the offset between the tips of the paths and their labels
+# 7. Formatting the numbers in the path labels and the associated unit
+# 8. Changing the appearance of the patch and the labels after the figure is
+#    created
+
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
+                     title="Flow Diagram of a Widget")
+sankey = Sankey(ax=ax, scale=0.01, offset=0.2, head_angle=180,
+                format='%.0f', unit='%')
+sankey.add(flows=[25, 0, 60, -10, -20, -5, -15, -10, -40],
+           labels=['', '', '', 'First', 'Second', 'Third', 'Fourth',
+                   'Fifth', 'Hurray!'],
+           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0],
+           pathlengths=[0.25, 0.25, 0.25, 0.25, 0.25, 0.6, 0.25, 0.25,
+                        0.25],
+           patchlabel="Widget\nA")  # Arguments to matplotlib.patches.PathPatch
+diagrams = sankey.finish()
+diagrams[0].texts[-1].set_color('r')
+diagrams[0].text.set_fontweight('bold')
+
+# %%
+# Notice:
+#
+# 1. Since the sum of the flows is nonzero, the width of the trunk isn't
+#    uniform.  The matplotlib logging system logs this at the DEBUG level.
+# 2. The second flow doesn't appear because its value is zero.  Again, this is
+#    logged at the DEBUG level.
+
+
+# %%
+# Example 3
+#
+# This demonstrates:
+#
+# 1. Connecting two systems
+# 2. Turning off the labels of the quantities
+# 3. Adding a legend
+
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[], title="Two Systems")
+flows = [0.25, 0.15, 0.60, -0.10, -0.05, -0.25, -0.15, -0.10, -0.35]
+sankey = Sankey(ax=ax, unit=None)
+sankey.add(flows=flows, label='one',
+           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0])
+sankey.add(flows=[-0.25, 0.15, 0.1], label='two',
+           orientations=[-1, -1, -1], prior=0, connect=(0, 0))
+diagrams = sankey.finish()
+diagrams[-1].patch.set_hatch('/')
+plt.legend()
+
+# %%
+# Notice that only one connection is specified, but the systems form a
+# circuit since: (1) the lengths of the paths are justified and (2) the
+# orientation and ordering of the flows is mirrored.
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.sankey`
+#    - `matplotlib.sankey.Sankey`
+#    - `matplotlib.sankey.Sankey.add`
+#    - `matplotlib.sankey.Sankey.finish`
diff --git a/galleries/examples/specialty_plots/sankey_links.py b/galleries/examples/specialty_plots/sankey_links.py
new file mode 100644
index 000000000000..283cde86e3bf
--- /dev/null
+++ b/galleries/examples/specialty_plots/sankey_links.py
@@ -0,0 +1,70 @@
+"""
+======================================
+Long chain of connections using Sankey
+======================================
+
+Demonstrate/test the Sankey class by producing a long chain of connections.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.sankey import Sankey
+
+links_per_side = 6
+
+
+def side(sankey, n=1):
+    """Generate a side chain."""
+    prior = len(sankey.diagrams)
+    for i in range(0, 2*n, 2):
+        sankey.add(flows=[1, -1], orientations=[-1, -1],
+                   patchlabel=str(prior + i),
+                   prior=prior + i - 1, connect=(1, 0), alpha=0.5)
+        sankey.add(flows=[1, -1], orientations=[1, 1],
+                   patchlabel=str(prior + i + 1),
+                   prior=prior + i, connect=(1, 0), alpha=0.5)
+
+
+def corner(sankey):
+    """Generate a corner link."""
+    prior = len(sankey.diagrams)
+    sankey.add(flows=[1, -1], orientations=[0, 1],
+               patchlabel=str(prior), facecolor='k',
+               prior=prior - 1, connect=(1, 0), alpha=0.5)
+
+
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
+                     title="Why would you want to do this?\n(But you could.)")
+sankey = Sankey(ax=ax, unit=None)
+sankey.add(flows=[1, -1], orientations=[0, 1],
+           patchlabel="0", facecolor='k',
+           rotation=45)
+side(sankey, n=links_per_side)
+corner(sankey)
+side(sankey, n=links_per_side)
+corner(sankey)
+side(sankey, n=links_per_side)
+corner(sankey)
+side(sankey, n=links_per_side)
+sankey.finish()
+# Notice:
+# 1. The alignment doesn't drift significantly (if at all; with 16007
+#    subdiagrams there is still closure).
+# 2. The first diagram is rotated 45 deg, so all other diagrams are rotated
+#    accordingly.
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.sankey`
+#    - `matplotlib.sankey.Sankey`
+#    - `matplotlib.sankey.Sankey.add`
+#    - `matplotlib.sankey.Sankey.finish`
diff --git a/galleries/examples/specialty_plots/sankey_rankine.py b/galleries/examples/specialty_plots/sankey_rankine.py
new file mode 100644
index 000000000000..5662902384fa
--- /dev/null
+++ b/galleries/examples/specialty_plots/sankey_rankine.py
@@ -0,0 +1,96 @@
+"""
+===================
+Rankine power cycle
+===================
+
+Demonstrate the Sankey class with a practical example of a Rankine power cycle.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.sankey import Sankey
+
+fig = plt.figure(figsize=(8, 9))
+ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
+                     title="Rankine Power Cycle: Example 8.6 from Moran and "
+                     "Shapiro\n\x22Fundamentals of Engineering Thermodynamics "
+                     "\x22, 6th ed., 2008")
+Hdot = [260.431, 35.078, 180.794, 221.115, 22.700,
+        142.361, 10.193, 10.210, 43.670, 44.312,
+        68.631, 10.758, 10.758, 0.017, 0.642,
+        232.121, 44.559, 100.613, 132.168]  # MW
+sankey = Sankey(ax=ax, format='%.3G', unit=' MW', gap=0.5, scale=1.0/Hdot[0])
+sankey.add(patchlabel='\n\nPump 1', rotation=90, facecolor='#37c959',
+           flows=[Hdot[13], Hdot[6], -Hdot[7]],
+           labels=['Shaft power', '', None],
+           pathlengths=[0.4, 0.883, 0.25],
+           orientations=[1, -1, 0])
+sankey.add(patchlabel='\n\nOpen\nheater', facecolor='#37c959',
+           flows=[Hdot[11], Hdot[7], Hdot[4], -Hdot[8]],
+           labels=[None, '', None, None],
+           pathlengths=[0.25, 0.25, 1.93, 0.25],
+           orientations=[1, 0, -1, 0], prior=0, connect=(2, 1))
+sankey.add(patchlabel='\n\nPump 2', facecolor='#37c959',
+           flows=[Hdot[14], Hdot[8], -Hdot[9]],
+           labels=['Shaft power', '', None],
+           pathlengths=[0.4, 0.25, 0.25],
+           orientations=[1, 0, 0], prior=1, connect=(3, 1))
+sankey.add(patchlabel='Closed\nheater', trunklength=2.914, fc='#37c959',
+           flows=[Hdot[9], Hdot[1], -Hdot[11], -Hdot[10]],
+           pathlengths=[0.25, 1.543, 0.25, 0.25],
+           labels=['', '', None, None],
+           orientations=[0, -1, 1, -1], prior=2, connect=(2, 0))
+sankey.add(patchlabel='Trap', facecolor='#37c959', trunklength=5.102,
+           flows=[Hdot[11], -Hdot[12]],
+           labels=['\n', None],
+           pathlengths=[1.0, 1.01],
+           orientations=[1, 1], prior=3, connect=(2, 0))
+sankey.add(patchlabel='Steam\ngenerator', facecolor='#ff5555',
+           flows=[Hdot[15], Hdot[10], Hdot[2], -Hdot[3], -Hdot[0]],
+           labels=['Heat rate', '', '', None, None],
+           pathlengths=0.25,
+           orientations=[1, 0, -1, -1, -1], prior=3, connect=(3, 1))
+sankey.add(patchlabel='\n\n\nTurbine 1', facecolor='#37c959',
+           flows=[Hdot[0], -Hdot[16], -Hdot[1], -Hdot[2]],
+           labels=['', None, None, None],
+           pathlengths=[0.25, 0.153, 1.543, 0.25],
+           orientations=[0, 1, -1, -1], prior=5, connect=(4, 0))
+sankey.add(patchlabel='\n\n\nReheat', facecolor='#37c959',
+           flows=[Hdot[2], -Hdot[2]],
+           labels=[None, None],
+           pathlengths=[0.725, 0.25],
+           orientations=[-1, 0], prior=6, connect=(3, 0))
+sankey.add(patchlabel='Turbine 2', trunklength=3.212, facecolor='#37c959',
+           flows=[Hdot[3], Hdot[16], -Hdot[5], -Hdot[4], -Hdot[17]],
+           labels=[None, 'Shaft power', None, '', 'Shaft power'],
+           pathlengths=[0.751, 0.15, 0.25, 1.93, 0.25],
+           orientations=[0, -1, 0, -1, 1], prior=6, connect=(1, 1))
+sankey.add(patchlabel='Condenser', facecolor='#58b1fa', trunklength=1.764,
+           flows=[Hdot[5], -Hdot[18], -Hdot[6]],
+           labels=['', 'Heat rate', None],
+           pathlengths=[0.45, 0.25, 0.883],
+           orientations=[-1, 1, 0], prior=8, connect=(2, 0))
+diagrams = sankey.finish()
+for diagram in diagrams:
+    diagram.text.set_fontweight('bold')
+    diagram.text.set_fontsize('10')
+    for text in diagram.texts:
+        text.set_fontsize('10')
+# Notice that the explicit connections are handled automatically, but the
+# implicit ones currently are not.  The lengths of the paths and the trunks
+# must be adjusted manually, and that is a bit tricky.
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.sankey`
+#    - `matplotlib.sankey.Sankey`
+#    - `matplotlib.sankey.Sankey.add`
+#    - `matplotlib.sankey.Sankey.finish`
diff --git a/galleries/examples/specialty_plots/skewt.py b/galleries/examples/specialty_plots/skewt.py
new file mode 100644
index 000000000000..e25998a73c04
--- /dev/null
+++ b/galleries/examples/specialty_plots/skewt.py
@@ -0,0 +1,276 @@
+"""
+===========================================================
+SkewT-logP diagram: using transforms and custom projections
+===========================================================
+
+This serves as an intensive exercise of Matplotlib's transforms and custom
+projection API. This example produces a so-called SkewT-logP diagram, which is
+a common plot in meteorology for displaying vertical profiles of temperature.
+As far as Matplotlib is concerned, the complexity comes from having X and Y
+axes that are not orthogonal. This is handled by including a skew component to
+the basic Axes transforms. Additional complexity comes in handling the fact
+that the upper and lower X-axes have different data ranges, which necessitates
+a bunch of custom classes for ticks, spines, and axis to handle this.
+"""
+
+from contextlib import ExitStack
+
+from matplotlib.axes import Axes
+import matplotlib.axis as maxis
+from matplotlib.projections import register_projection
+import matplotlib.spines as mspines
+import matplotlib.transforms as transforms
+
+
+# The sole purpose of this class is to look at the upper, lower, or total
+# interval as appropriate and see what parts of the tick to draw, if any.
+class SkewXTick(maxis.XTick):
+    def draw(self, renderer):
+        # When adding the callbacks with `stack.callback`, we fetch the current
+        # visibility state of the artist with `get_visible`; the ExitStack will
+        # restore these states (`set_visible`) at the end of the block (after
+        # the draw).
+        with ExitStack() as stack:
+            for artist in [self.gridline, self.tick1line, self.tick2line,
+                           self.label1, self.label2]:
+                stack.callback(artist.set_visible, artist.get_visible())
+            needs_lower = transforms.interval_contains(
+                self.axes.lower_xlim, self.get_loc())
+            needs_upper = transforms.interval_contains(
+                self.axes.upper_xlim, self.get_loc())
+            self.tick1line.set_visible(
+                self.tick1line.get_visible() and needs_lower)
+            self.label1.set_visible(
+                self.label1.get_visible() and needs_lower)
+            self.tick2line.set_visible(
+                self.tick2line.get_visible() and needs_upper)
+            self.label2.set_visible(
+                self.label2.get_visible() and needs_upper)
+            super().draw(renderer)
+
+    def get_view_interval(self):
+        return self.axes.xaxis.get_view_interval()
+
+
+# This class exists to provide two separate sets of intervals to the tick,
+# as well as create instances of the custom tick
+class SkewXAxis(maxis.XAxis):
+    def _get_tick(self, major):
+        return SkewXTick(self.axes, None, major=major)
+
+    def get_view_interval(self):
+        return self.axes.upper_xlim[0], self.axes.lower_xlim[1]
+
+
+# This class exists to calculate the separate data range of the
+# upper X-axis and draw the spine there. It also provides this range
+# to the X-axis artist for ticking and gridlines
+class SkewSpine(mspines.Spine):
+    def _adjust_location(self):
+        pts = self._path.vertices
+        if self.spine_type == 'top':
+            pts[:, 0] = self.axes.upper_xlim
+        else:
+            pts[:, 0] = self.axes.lower_xlim
+
+
+# This class handles registration of the skew-xaxes as a projection as well
+# as setting up the appropriate transformations. It also overrides standard
+# spines and axes instances as appropriate.
+class SkewXAxes(Axes):
+    # The projection must specify a name.  This will be used be the
+    # user to select the projection, i.e. ``subplot(projection='skewx')``.
+    name = 'skewx'
+
+    def _init_axis(self):
+        # Taken from Axes and modified to use our modified X-axis
+        self.xaxis = SkewXAxis(self)
+        self.spines.top.register_axis(self.xaxis)
+        self.spines.bottom.register_axis(self.xaxis)
+        self.yaxis = maxis.YAxis(self)
+        self.spines.left.register_axis(self.yaxis)
+        self.spines.right.register_axis(self.yaxis)
+
+    def _gen_axes_spines(self):
+        spines = {'top': SkewSpine.linear_spine(self, 'top'),
+                  'bottom': mspines.Spine.linear_spine(self, 'bottom'),
+                  'left': mspines.Spine.linear_spine(self, 'left'),
+                  'right': mspines.Spine.linear_spine(self, 'right')}
+        return spines
+
+    def _set_lim_and_transforms(self):
+        """
+        This is called once when the plot is created to set up all the
+        transforms for the data, text and grids.
+        """
+        rot = 30
+
+        # Get the standard transform setup from the Axes base class
+        super()._set_lim_and_transforms()
+
+        # Need to put the skew in the middle, after the scale and limits,
+        # but before the transAxes. This way, the skew is done in Axes
+        # coordinates thus performing the transform around the proper origin
+        # We keep the pre-transAxes transform around for other users, like the
+        # spines for finding bounds
+        self.transDataToAxes = (
+            self.transScale
+            + self.transLimits
+            + transforms.Affine2D().skew_deg(rot, 0)
+        )
+        # Create the full transform from Data to Pixels
+        self.transData = self.transDataToAxes + self.transAxes
+
+        # Blended transforms like this need to have the skewing applied using
+        # both axes, in axes coords like before.
+        self._xaxis_transform = (
+            transforms.blended_transform_factory(
+                self.transScale + self.transLimits,
+                transforms.IdentityTransform())
+            + transforms.Affine2D().skew_deg(rot, 0)
+            + self.transAxes
+        )
+
+    @property
+    def lower_xlim(self):
+        return self.axes.viewLim.intervalx
+
+    @property
+    def upper_xlim(self):
+        pts = [[0., 1.], [1., 1.]]
+        return self.transDataToAxes.inverted().transform(pts)[:, 0]
+
+
+# Now register the projection with matplotlib so the user can select it.
+register_projection(SkewXAxes)
+
+if __name__ == '__main__':
+    # Now make a simple example using the custom projection.
+    from io import StringIO
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    from matplotlib.ticker import (MultipleLocator, NullFormatter,
+                                   ScalarFormatter)
+
+    # Some example data.
+    data_txt = '''
+        978.0    345    7.8    0.8
+        971.0    404    7.2    0.2
+        946.7    610    5.2   -1.8
+        944.0    634    5.0   -2.0
+        925.0    798    3.4   -2.6
+        911.8    914    2.4   -2.7
+        906.0    966    2.0   -2.7
+        877.9   1219    0.4   -3.2
+        850.0   1478   -1.3   -3.7
+        841.0   1563   -1.9   -3.8
+        823.0   1736    1.4   -0.7
+        813.6   1829    4.5    1.2
+        809.0   1875    6.0    2.2
+        798.0   1988    7.4   -0.6
+        791.0   2061    7.6   -1.4
+        783.9   2134    7.0   -1.7
+        755.1   2438    4.8   -3.1
+        727.3   2743    2.5   -4.4
+        700.5   3048    0.2   -5.8
+        700.0   3054    0.2   -5.8
+        698.0   3077    0.0   -6.0
+        687.0   3204   -0.1   -7.1
+        648.9   3658   -3.2  -10.9
+        631.0   3881   -4.7  -12.7
+        600.7   4267   -6.4  -16.7
+        592.0   4381   -6.9  -17.9
+        577.6   4572   -8.1  -19.6
+        555.3   4877  -10.0  -22.3
+        536.0   5151  -11.7  -24.7
+        533.8   5182  -11.9  -25.0
+        500.0   5680  -15.9  -29.9
+        472.3   6096  -19.7  -33.4
+        453.0   6401  -22.4  -36.0
+        400.0   7310  -30.7  -43.7
+        399.7   7315  -30.8  -43.8
+        387.0   7543  -33.1  -46.1
+        382.7   7620  -33.8  -46.8
+        342.0   8398  -40.5  -53.5
+        320.4   8839  -43.7  -56.7
+        318.0   8890  -44.1  -57.1
+        310.0   9060  -44.7  -58.7
+        306.1   9144  -43.9  -57.9
+        305.0   9169  -43.7  -57.7
+        300.0   9280  -43.5  -57.5
+        292.0   9462  -43.7  -58.7
+        276.0   9838  -47.1  -62.1
+        264.0  10132  -47.5  -62.5
+        251.0  10464  -49.7  -64.7
+        250.0  10490  -49.7  -64.7
+        247.0  10569  -48.7  -63.7
+        244.0  10649  -48.9  -63.9
+        243.3  10668  -48.9  -63.9
+        220.0  11327  -50.3  -65.3
+        212.0  11569  -50.5  -65.5
+        210.0  11631  -49.7  -64.7
+        200.0  11950  -49.9  -64.9
+        194.0  12149  -49.9  -64.9
+        183.0  12529  -51.3  -66.3
+        164.0  13233  -55.3  -68.3
+        152.0  13716  -56.5  -69.5
+        150.0  13800  -57.1  -70.1
+        136.0  14414  -60.5  -72.5
+        132.0  14600  -60.1  -72.1
+        131.4  14630  -60.2  -72.2
+        128.0  14792  -60.9  -72.9
+        125.0  14939  -60.1  -72.1
+        119.0  15240  -62.2  -73.8
+        112.0  15616  -64.9  -75.9
+        108.0  15838  -64.1  -75.1
+        107.8  15850  -64.1  -75.1
+        105.0  16010  -64.7  -75.7
+        103.0  16128  -62.9  -73.9
+        100.0  16310  -62.5  -73.5
+    '''
+
+    # Parse the data
+    sound_data = StringIO(data_txt)
+    p, h, T, Td = np.loadtxt(sound_data, unpack=True)
+
+    # Create a new figure. The dimensions here give a good aspect ratio
+    fig = plt.figure(figsize=(6.5875, 6.2125))
+    ax = fig.add_subplot(projection='skewx')
+
+    plt.grid(True)
+
+    # Plot the data using normal plotting functions, in this case using
+    # log scaling in Y, as dictated by the typical meteorological plot
+    ax.semilogy(T, p, color='C3')
+    ax.semilogy(Td, p, color='C2')
+
+    # An example of a slanted line at constant X
+    l = ax.axvline(0, color='C0')
+
+    # Disables the log-formatting that comes with semilogy
+    ax.yaxis.set_major_formatter(ScalarFormatter())
+    ax.yaxis.set_minor_formatter(NullFormatter())
+    ax.set_yticks(np.linspace(100, 1000, 10))
+    ax.set_ylim(1050, 100)
+
+    ax.xaxis.set_major_locator(MultipleLocator(10))
+    ax.set_xlim(-50, 50)
+
+    plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.transforms`
+#    - `matplotlib.spines`
+#    - `matplotlib.spines.Spine`
+#    - `matplotlib.spines.Spine.register_axis`
+#    - `matplotlib.projections`
+#    - `matplotlib.projections.register_projection`
diff --git a/galleries/examples/specialty_plots/topographic_hillshading.py b/galleries/examples/specialty_plots/topographic_hillshading.py
new file mode 100644
index 000000000000..c9aeaa23254a
--- /dev/null
+++ b/galleries/examples/specialty_plots/topographic_hillshading.py
@@ -0,0 +1,74 @@
+"""
+=======================
+Topographic hillshading
+=======================
+
+Demonstrates the visual effect of varying blend mode and vertical exaggeration
+on "hillshaded" plots.
+
+Note that the "overlay" and "soft" blend modes work well for complex surfaces
+such as this example, while the default "hsv" blend mode works best for smooth
+surfaces such as many mathematical functions.
+
+In most cases, hillshading is used purely for visual purposes, and *dx*/*dy*
+can be safely ignored. In that case, you can tweak *vert_exag* (vertical
+exaggeration) by trial and error to give the desired visual effect. However,
+this example demonstrates how to use the *dx* and *dy* keyword arguments to
+ensure that the *vert_exag* parameter is the true vertical exaggeration.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.cbook import get_sample_data
+from matplotlib.colors import LightSource
+
+dem = get_sample_data('jacksboro_fault_dem.npz')
+z = dem['elevation']
+# -- Optional dx and dy for accurate vertical exaggeration --------------------
+# If you need topographically accurate vertical exaggeration, or you don't want
+# to guess at what *vert_exag* should be, you'll need to specify the cellsize
+# of the grid (i.e. the *dx* and *dy* parameters).  Otherwise, any *vert_exag*
+# value you specify will be relative to the grid spacing of your input data
+# (in other words, *dx* and *dy* default to 1.0, and *vert_exag* is calculated
+# relative to those parameters).  Similarly, *dx* and *dy* are assumed to be in
+# the same units as your input z-values.  Therefore, we'll need to convert the
+# given dx and dy from decimal degrees to meters.
+dx, dy = dem['dx'], dem['dy']
+dy = 111200 * dy
+dx = 111200 * dx * np.cos(np.radians(dem['ymin']))
+# -----------------------------------------------------------------------------
+
+# Shade from the northwest, with the sun 45 degrees from horizontal
+ls = LightSource(azdeg=315, altdeg=45)
+cmap = plt.colormaps["gist_earth"]
+
+fig, axs = plt.subplots(nrows=4, ncols=3, figsize=(8, 9))
+plt.setp(axs.flat, xticks=[], yticks=[])
+
+# Vary vertical exaggeration and blend mode and plot all combinations
+for col, ve in zip(axs.T, [0.1, 1, 10]):
+    # Show the hillshade intensity image in the first row
+    col[0].imshow(ls.hillshade(z, vert_exag=ve, dx=dx, dy=dy), cmap='gray')
+
+    # Place hillshaded plots with different blend modes in the rest of the rows
+    for ax, mode in zip(col[1:], ['hsv', 'overlay', 'soft']):
+        rgb = ls.shade(z, cmap=cmap, blend_mode=mode,
+                       vert_exag=ve, dx=dx, dy=dy)
+        ax.imshow(rgb)
+
+# Label rows and columns
+for ax, ve in zip(axs[0], [0.1, 1, 10]):
+    ax.set_title(f'{ve}', size=18)
+for ax, mode in zip(axs[:, 0], ['Hillshade', 'hsv', 'overlay', 'soft']):
+    ax.set_ylabel(mode, size=18)
+
+# Group labels...
+axs[0, 1].annotate('Vertical Exaggeration', (0.5, 1), xytext=(0, 30),
+                   textcoords='offset points', xycoords='axes fraction',
+                   ha='center', va='bottom', size=20)
+axs[2, 0].annotate('Blend Mode', (0, 0.5), xytext=(-30, 0),
+                   textcoords='offset points', xycoords='axes fraction',
+                   ha='right', va='center', size=20, rotation=90)
+fig.subplots_adjust(bottom=0.05, right=0.95)
+
+plt.show()
diff --git a/galleries/examples/spines/README.txt b/galleries/examples/spines/README.txt
new file mode 100644
index 000000000000..40bc3952eacd
--- /dev/null
+++ b/galleries/examples/spines/README.txt
@@ -0,0 +1,4 @@
+.. _spines_examples:
+
+Spines
+======
diff --git a/galleries/examples/spines/centered_spines_with_arrows.py b/galleries/examples/spines/centered_spines_with_arrows.py
new file mode 100644
index 000000000000..f71d071a5f82
--- /dev/null
+++ b/galleries/examples/spines/centered_spines_with_arrows.py
@@ -0,0 +1,32 @@
+"""
+===========================
+Centered spines with arrows
+===========================
+
+This example shows a way to draw a "math textbook" style plot, where the
+spines ("axes lines") are drawn at ``x = 0`` and ``y = 0``, and have arrows at
+their ends.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots()
+# Move the left and bottom spines to x = 0 and y = 0, respectively.
+ax.spines[["left", "bottom"]].set_position(("data", 0))
+# Hide the top and right spines.
+ax.spines[["top", "right"]].set_visible(False)
+
+# Draw arrows (as black triangles: ">k"/"^k") at the end of the axes.  In each
+# case, one of the coordinates (0) is a data coordinate (i.e., y = 0 or x = 0,
+# respectively) and the other one (1) is an axes coordinate (i.e., at the very
+# right/top of the axes).  Also, disable clipping (clip_on=False) as the marker
+# actually spills out of the Axes.
+ax.plot(1, 0, ">k", transform=ax.get_yaxis_transform(), clip_on=False)
+ax.plot(0, 1, "^k", transform=ax.get_xaxis_transform(), clip_on=False)
+
+# Some sample data.
+x = np.linspace(-0.5, 1., 100)
+ax.plot(x, np.sin(x*np.pi))
+
+plt.show()
diff --git a/galleries/examples/spines/multiple_yaxis_with_spines.py b/galleries/examples/spines/multiple_yaxis_with_spines.py
new file mode 100644
index 000000000000..a0281bdeda0f
--- /dev/null
+++ b/galleries/examples/spines/multiple_yaxis_with_spines.py
@@ -0,0 +1,46 @@
+r"""
+===========================
+Multiple y-axis with Spines
+===========================
+
+Create multiple y axes with a shared x-axis. This is done by creating
+a `~.axes.Axes.twinx` Axes, turning all spines but the right one invisible
+and offset its position using `~.spines.Spine.set_position`.
+
+Note that this approach uses `matplotlib.axes.Axes` and their
+`~matplotlib.spines.Spine`\s.  Alternative approaches using non-standard Axes
+are shown in the :doc:`/gallery/axisartist/demo_parasite_axes` and
+:doc:`/gallery/axisartist/demo_parasite_axes2` examples.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+fig.subplots_adjust(right=0.75)
+
+twin1 = ax.twinx()
+twin2 = ax.twinx()
+
+# Offset the right spine of twin2.  The ticks and label have already been
+# placed on the right by twinx above.
+twin2.spines.right.set_position(("axes", 1.2))
+
+p1, = ax.plot([0, 1, 2], [0, 1, 2], "C0", label="Density")
+p2, = twin1.plot([0, 1, 2], [0, 3, 2], "C1", label="Temperature")
+p3, = twin2.plot([0, 1, 2], [50, 30, 15], "C2", label="Velocity")
+
+ax.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
+twin1.set(ylim=(0, 4), ylabel="Temperature")
+twin2.set(ylim=(1, 65), ylabel="Velocity")
+
+ax.yaxis.label.set_color(p1.get_color())
+twin1.yaxis.label.set_color(p2.get_color())
+twin2.yaxis.label.set_color(p3.get_color())
+
+ax.tick_params(axis='y', colors=p1.get_color())
+twin1.tick_params(axis='y', colors=p2.get_color())
+twin2.tick_params(axis='y', colors=p3.get_color())
+
+ax.legend(handles=[p1, p2, p3])
+
+plt.show()
diff --git a/galleries/examples/spines/spine_placement_demo.py b/galleries/examples/spines/spine_placement_demo.py
new file mode 100644
index 000000000000..d7d52605c6d7
--- /dev/null
+++ b/galleries/examples/spines/spine_placement_demo.py
@@ -0,0 +1,52 @@
+"""
+===============
+Spine placement
+===============
+
+The position of the axis spines can be influenced using `~.Spine.set_position`.
+
+Note: If you want to obtain arrow heads at the ends of the axes, also check
+out the :doc:`/gallery/spines/centered_spines_with_arrows` example.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+
+x = np.linspace(0, 2*np.pi, 100)
+y = 2 * np.sin(x)
+
+fig, ax_dict = plt.subplot_mosaic(
+    [['center', 'zero'],
+     ['axes', 'data']]
+)
+fig.suptitle('Spine positions')
+
+
+ax = ax_dict['center']
+ax.set_title("'center'")
+ax.plot(x, y)
+ax.spines[['left', 'bottom']].set_position('center')
+ax.spines[['top', 'right']].set_visible(False)
+
+ax = ax_dict['zero']
+ax.set_title("'zero'")
+ax.plot(x, y)
+ax.spines[['left', 'bottom']].set_position('zero')
+ax.spines[['top', 'right']].set_visible(False)
+
+ax = ax_dict['axes']
+ax.set_title("'axes' (0.2, 0.2)")
+ax.plot(x, y)
+ax.spines.left.set_position(('axes', 0.2))
+ax.spines.bottom.set_position(('axes', 0.2))
+ax.spines[['top', 'right']].set_visible(False)
+
+ax = ax_dict['data']
+ax.set_title("'data' (1, 2)")
+ax.plot(x, y)
+ax.spines.left.set_position(('data', 1))
+ax.spines.bottom.set_position(('data', 2))
+ax.spines[['top', 'right']].set_visible(False)
+
+plt.show()
diff --git a/galleries/examples/spines/spines.py b/galleries/examples/spines/spines.py
new file mode 100644
index 000000000000..2e28fb546d86
--- /dev/null
+++ b/galleries/examples/spines/spines.py
@@ -0,0 +1,57 @@
+"""
+======
+Spines
+======
+
+This demo compares:
+
+- normal Axes, with spines on all four sides;
+- an Axes with spines only on the left and bottom;
+- an Axes using custom bounds to limit the extent of the spine.
+
+Each `.axes.Axes` has a list of `.Spine` objects, accessible
+via the container ``ax.spines``.
+
+.. redirect-from:: /gallery/spines/spines_bounds
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 2 * np.pi, 100)
+y = 2 * np.sin(x)
+
+# Constrained layout makes sure the labels don't overlap the Axes.
+fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, layout='constrained')
+
+ax0.plot(x, y)
+ax0.set_title('normal spines')
+
+ax1.plot(x, y)
+ax1.set_title('bottom-left spines')
+
+# Hide the right and top spines
+ax1.spines.right.set_visible(False)
+ax1.spines.top.set_visible(False)
+
+ax2.plot(x, y)
+ax2.set_title('spines with bounds limited to data range')
+
+# Only draw spines for the data range, not in the margins
+ax2.spines.bottom.set_bounds(x.min(), x.max())
+ax2.spines.left.set_bounds(y.min(), y.max())
+# Hide the right and top spines
+ax2.spines.right.set_visible(False)
+ax2.spines.top.set_visible(False)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.artist.Artist.set_visible`
+#    - `matplotlib.spines.Spine.set_bounds`
diff --git a/galleries/examples/spines/spines_dropped.py b/galleries/examples/spines/spines_dropped.py
new file mode 100644
index 000000000000..3adeee92ba37
--- /dev/null
+++ b/galleries/examples/spines/spines_dropped.py
@@ -0,0 +1,37 @@
+"""
+==============
+Dropped spines
+==============
+
+Demo of spines offset from the axes (a.k.a. "dropped spines").
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def adjust_spines(ax, visible_spines):
+    ax.label_outer(remove_inner_ticks=True)
+    ax.grid(color='0.9')
+
+    for loc, spine in ax.spines.items():
+        if loc in visible_spines:
+            spine.set_position(('outward', 10))  # outward by 10 points
+        else:
+            spine.set_visible(False)
+
+
+x = np.linspace(0, 2 * np.pi, 100)
+
+fig, axs = plt.subplots(2, 2)
+
+axs[0, 0].plot(x, np.sin(x))
+axs[0, 1].plot(x, np.cos(x))
+axs[1, 0].plot(x, -np.cos(x))
+axs[1, 1].plot(x, -np.sin(x))
+
+adjust_spines(axs[0, 0], ['left'])
+adjust_spines(axs[0, 1], [])
+adjust_spines(axs[1, 0], ['left', 'bottom'])
+adjust_spines(axs[1, 1], ['bottom'])
+
+plt.show()
diff --git a/galleries/examples/statistics/README.txt b/galleries/examples/statistics/README.txt
new file mode 100644
index 000000000000..5949a1920c02
--- /dev/null
+++ b/galleries/examples/statistics/README.txt
@@ -0,0 +1,4 @@
+.. _statistics_examples:
+
+Statistics
+==========
diff --git a/galleries/examples/statistics/boxplot.py b/galleries/examples/statistics/boxplot.py
new file mode 100644
index 000000000000..6d30cbd4b5f0
--- /dev/null
+++ b/galleries/examples/statistics/boxplot.py
@@ -0,0 +1,107 @@
+"""
+=================================
+Artist customization in box plots
+=================================
+
+This example demonstrates how to use the various keyword arguments to fully
+customize box plots. The first figure demonstrates how to remove and add
+individual components (note that the mean is the only value not shown by
+default). The second figure demonstrates how the styles of the artists can be
+customized. It also demonstrates how to set the limit of the whiskers to
+specific percentiles (lower right Axes)
+
+A good general reference on boxplots and their history can be found here:
+https://vita.had.co.nz/papers/boxplots.pdf
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# fake data
+np.random.seed(19680801)
+data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
+labels = list('ABCD')
+fs = 10  # fontsize
+
+# %%
+# Demonstrate how to toggle the display of different elements:
+
+fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
+axs[0, 0].boxplot(data, tick_labels=labels)
+axs[0, 0].set_title('Default', fontsize=fs)
+
+axs[0, 1].boxplot(data, tick_labels=labels, showmeans=True)
+axs[0, 1].set_title('showmeans=True', fontsize=fs)
+
+axs[0, 2].boxplot(data, tick_labels=labels, showmeans=True, meanline=True)
+axs[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
+
+axs[1, 0].boxplot(data, tick_labels=labels, showbox=False, showcaps=False)
+tufte_title = 'Tufte Style \n(showbox=False,\nshowcaps=False)'
+axs[1, 0].set_title(tufte_title, fontsize=fs)
+
+axs[1, 1].boxplot(data, tick_labels=labels, notch=True, bootstrap=10000)
+axs[1, 1].set_title('notch=True,\nbootstrap=10000', fontsize=fs)
+
+axs[1, 2].boxplot(data, tick_labels=labels, showfliers=False)
+axs[1, 2].set_title('showfliers=False', fontsize=fs)
+
+for ax in axs.flat:
+    ax.set_yscale('log')
+    ax.set_yticklabels([])
+
+fig.subplots_adjust(hspace=0.4)
+plt.show()
+
+
+# %%
+# Demonstrate how to customize the display different elements:
+
+boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
+flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
+                  markeredgecolor='none')
+medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
+meanpointprops = dict(marker='D', markeredgecolor='black',
+                      markerfacecolor='firebrick')
+meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
+
+fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
+axs[0, 0].boxplot(data, boxprops=boxprops)
+axs[0, 0].set_title('Custom boxprops', fontsize=fs)
+
+axs[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)
+axs[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
+
+axs[0, 2].boxplot(data, whis=(0, 100))
+axs[0, 2].set_title('whis=(0, 100)', fontsize=fs)
+
+axs[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,
+                  showmeans=True)
+axs[1, 0].set_title('Custom mean\nas point', fontsize=fs)
+
+axs[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True,
+                  showmeans=True)
+axs[1, 1].set_title('Custom mean\nas line', fontsize=fs)
+
+axs[1, 2].boxplot(data, whis=[15, 85])
+axs[1, 2].set_title('whis=[15, 85]\n#percentiles', fontsize=fs)
+
+for ax in axs.flat:
+    ax.set_yscale('log')
+    ax.set_yticklabels([])
+
+fig.suptitle("I never said they'd be pretty")
+fig.subplots_adjust(hspace=0.4)
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: boxplot, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`
diff --git a/galleries/examples/statistics/boxplot_color.py b/galleries/examples/statistics/boxplot_color.py
new file mode 100644
index 000000000000..acdb37d7d520
--- /dev/null
+++ b/galleries/examples/statistics/boxplot_color.py
@@ -0,0 +1,46 @@
+"""
+=================================
+Box plots with custom fill colors
+=================================
+
+To color each box of a box plot individually:
+
+1) use the keyword argument ``patch_artist=True`` to create filled boxes.
+2) loop through the created boxes and adapt their color.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+fruit_weights = [
+    np.random.normal(130, 10, size=100),
+    np.random.normal(125, 20, size=100),
+    np.random.normal(120, 30, size=100),
+]
+labels = ['peaches', 'oranges', 'tomatoes']
+colors = ['peachpuff', 'orange', 'tomato']
+
+fig, ax = plt.subplots()
+ax.set_ylabel('fruit weight (g)')
+
+bplot = ax.boxplot(fruit_weights,
+                   patch_artist=True,  # fill with color
+                   tick_labels=labels)  # will be used to label x-ticks
+
+# fill with colors
+for patch, color in zip(bplot['boxes'], colors):
+    patch.set_facecolor(color)
+
+plt.show()
+
+# %%
+#
+# .. tags:: styling: color, domain: statistics, plot-type: boxplot
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`
diff --git a/galleries/examples/statistics/boxplot_demo.py b/galleries/examples/statistics/boxplot_demo.py
new file mode 100644
index 000000000000..b642d7e9f658
--- /dev/null
+++ b/galleries/examples/statistics/boxplot_demo.py
@@ -0,0 +1,258 @@
+"""
+========
+Boxplots
+========
+
+Visualizing boxplots with matplotlib.
+
+The following examples show off how to visualize boxplots with
+Matplotlib. There are many options to control their appearance and
+the statistics that they use to summarize the data.
+
+.. redirect-from:: /gallery/pyplots/boxplot_demo_pyplot
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Polygon
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# fake up some data
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 50
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+data = np.concatenate((spread, center, flier_high, flier_low))
+
+fig, axs = plt.subplots(2, 3)
+
+# basic plot
+axs[0, 0].boxplot(data)
+axs[0, 0].set_title('basic plot')
+
+# notched plot
+axs[0, 1].boxplot(data, notch=True)
+axs[0, 1].set_title('notched plot')
+
+# change outlier point symbols
+axs[0, 2].boxplot(data, sym='gD')
+axs[0, 2].set_title('change outlier\npoint symbols')
+
+# don't show outlier points
+axs[1, 0].boxplot(data, sym='')
+axs[1, 0].set_title("don't show\noutlier points")
+
+# horizontal boxes
+axs[1, 1].boxplot(data, sym='rs', orientation='horizontal')
+axs[1, 1].set_title('horizontal boxes')
+
+# change whisker length
+axs[1, 2].boxplot(data, sym='rs', orientation='horizontal', whis=0.75)
+axs[1, 2].set_title('change whisker length')
+
+fig.subplots_adjust(left=0.08, right=0.98, bottom=0.05, top=0.9,
+                    hspace=0.4, wspace=0.3)
+
+# fake up some more data
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 40
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+d2 = np.concatenate((spread, center, flier_high, flier_low))
+# Making a 2-D array only works if all the columns are the
+# same length.  If they are not, then use a list instead.
+# This is actually more efficient because boxplot converts
+# a 2-D array into a list of vectors internally anyway.
+data = [data, d2, d2[::2]]
+
+# Multiple box plots on one Axes
+fig, ax = plt.subplots()
+ax.boxplot(data)
+
+plt.show()
+
+
+# %%
+# Below we'll generate data from five different probability distributions,
+# each with different characteristics. We want to play with how an IID
+# bootstrap resample of the data preserves the distributional
+# properties of the original sample, and a boxplot is one visual tool
+# to make this assessment
+
+random_dists = ['Normal(1, 1)', 'Lognormal(1, 1)', 'Exp(1)', 'Gumbel(6, 4)',
+                'Triangular(2, 9, 11)']
+N = 500
+
+norm = np.random.normal(1, 1, N)
+logn = np.random.lognormal(1, 1, N)
+expo = np.random.exponential(1, N)
+gumb = np.random.gumbel(6, 4, N)
+tria = np.random.triangular(2, 9, 11, N)
+
+# Generate some random indices that we'll use to resample the original data
+# arrays. For code brevity, just use the same random indices for each array
+bootstrap_indices = np.random.randint(0, N, N)
+data = [
+    norm, norm[bootstrap_indices],
+    logn, logn[bootstrap_indices],
+    expo, expo[bootstrap_indices],
+    gumb, gumb[bootstrap_indices],
+    tria, tria[bootstrap_indices],
+]
+
+fig, ax1 = plt.subplots(figsize=(10, 6))
+fig.canvas.manager.set_window_title('A Boxplot Example')
+fig.subplots_adjust(left=0.075, right=0.95, top=0.9, bottom=0.25)
+
+bp = ax1.boxplot(data, notch=False, sym='+', orientation='vertical', whis=1.5)
+plt.setp(bp['boxes'], color='black')
+plt.setp(bp['whiskers'], color='black')
+plt.setp(bp['fliers'], color='red', marker='+')
+
+# Add a horizontal grid to the plot, but make it very light in color
+# so we can use it for reading data values but not be distracting
+ax1.yaxis.grid(True, linestyle='-', which='major', color='lightgrey',
+               alpha=0.5)
+
+ax1.set(
+    axisbelow=True,  # Hide the grid behind plot objects
+    title='Comparison of IID Bootstrap Resampling Across Five Distributions',
+    xlabel='Distribution',
+    ylabel='Value',
+)
+
+# Now fill the boxes with desired colors
+box_colors = ['darkkhaki', 'royalblue']
+num_boxes = len(data)
+medians = np.empty(num_boxes)
+for i in range(num_boxes):
+    box = bp['boxes'][i]
+    box_x = []
+    box_y = []
+    for j in range(5):
+        box_x.append(box.get_xdata()[j])
+        box_y.append(box.get_ydata()[j])
+    box_coords = np.column_stack([box_x, box_y])
+    # Alternate between Dark Khaki and Royal Blue
+    ax1.add_patch(Polygon(box_coords, facecolor=box_colors[i % 2]))
+    # Now draw the median lines back over what we just filled in
+    med = bp['medians'][i]
+    median_x = []
+    median_y = []
+    for j in range(2):
+        median_x.append(med.get_xdata()[j])
+        median_y.append(med.get_ydata()[j])
+        ax1.plot(median_x, median_y, 'k')
+    medians[i] = median_y[0]
+    # Finally, overplot the sample averages, with horizontal alignment
+    # in the center of each box
+    ax1.plot(np.average(med.get_xdata()), np.average(data[i]),
+             color='w', marker='*', markeredgecolor='k')
+
+# Set the axes ranges and axes labels
+ax1.set_xlim(0.5, num_boxes + 0.5)
+top = 40
+bottom = -5
+ax1.set_ylim(bottom, top)
+ax1.set_xticklabels(np.repeat(random_dists, 2),
+                    rotation=45, fontsize=8)
+
+# Due to the Y-axis scale being different across samples, it can be
+# hard to compare differences in medians across the samples. Add upper
+# X-axis tick labels with the sample medians to aid in comparison
+# (just use two decimal places of precision)
+pos = np.arange(num_boxes) + 1
+upper_labels = [str(round(s, 2)) for s in medians]
+weights = ['bold', 'semibold']
+for tick, label in zip(range(num_boxes), ax1.get_xticklabels()):
+    k = tick % 2
+    ax1.text(pos[tick], .95, upper_labels[tick],
+             transform=ax1.get_xaxis_transform(),
+             horizontalalignment='center', size='x-small',
+             weight=weights[k], color=box_colors[k])
+
+# Finally, add a basic legend
+fig.text(0.80, 0.08, f'{N} Random Numbers',
+         backgroundcolor=box_colors[0], color='black', weight='roman',
+         size='x-small')
+fig.text(0.80, 0.045, 'IID Bootstrap Resample',
+         backgroundcolor=box_colors[1],
+         color='white', weight='roman', size='x-small')
+fig.text(0.80, 0.015, '*', color='white', backgroundcolor='silver',
+         weight='roman', size='medium')
+fig.text(0.815, 0.013, ' Average Value', color='black', weight='roman',
+         size='x-small')
+
+plt.show()
+
+# %%
+# Here we write a custom function to bootstrap confidence intervals.
+# We can then use the boxplot along with this function to show these intervals.
+
+
+def fake_bootstrapper(n):
+    """
+    This is just a placeholder for the user's method of
+    bootstrapping the median and its confidence intervals.
+
+    Returns an arbitrary median and confidence interval packed into a tuple.
+    """
+    if n == 1:
+        med = 0.1
+        ci = (-0.25, 0.25)
+    else:
+        med = 0.2
+        ci = (-0.35, 0.50)
+    return med, ci
+
+inc = 0.1
+e1 = np.random.normal(0, 1, size=500)
+e2 = np.random.normal(0, 1, size=500)
+e3 = np.random.normal(0, 1 + inc, size=500)
+e4 = np.random.normal(0, 1 + 2*inc, size=500)
+
+treatments = [e1, e2, e3, e4]
+med1, ci1 = fake_bootstrapper(1)
+med2, ci2 = fake_bootstrapper(2)
+medians = [None, None, med1, med2]
+conf_intervals = [None, None, ci1, ci2]
+
+fig, ax = plt.subplots()
+pos = np.arange(len(treatments)) + 1
+bp = ax.boxplot(treatments, sym='k+', positions=pos,
+                notch=True, bootstrap=5000,
+                usermedians=medians,
+                conf_intervals=conf_intervals)
+
+ax.set_xlabel('treatment')
+ax.set_ylabel('response')
+plt.setp(bp['whiskers'], color='k', linestyle='-')
+plt.setp(bp['fliers'], markersize=3.0)
+plt.show()
+
+
+# %%
+# Here we customize the widths of the caps .
+
+x = np.linspace(-7, 7, 140)
+x = np.hstack([-25, x, 25])
+fig, ax = plt.subplots()
+
+ax.boxplot([x, x], notch=True, capwidths=[0.01, 0.2])
+
+plt.show()
+
+# %%
+#
+# .. tags:: domain: statistics, plot-type: boxplot
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`
+#    - `matplotlib.artist.Artist.set` / `matplotlib.pyplot.setp`
diff --git a/galleries/examples/statistics/boxplot_vs_violin.py b/galleries/examples/statistics/boxplot_vs_violin.py
new file mode 100644
index 000000000000..f277e737e65c
--- /dev/null
+++ b/galleries/examples/statistics/boxplot_vs_violin.py
@@ -0,0 +1,65 @@
+"""
+===================================
+Box plot vs. violin plot comparison
+===================================
+
+Note that although violin plots are closely related to Tukey's (1977)
+box plots, they add useful information such as the distribution of the
+sample data (density trace).
+
+By default, box plots show data points outside 1.5 * the inter-quartile
+range as outliers above or below the whiskers whereas violin plots show
+the whole range of the data.
+
+A good general reference on boxplots and their history can be found
+here: http://vita.had.co.nz/papers/boxplots.pdf
+
+Violin plots require matplotlib >= 1.4.
+
+For more information on violin plots, the scikit-learn docs have a great
+section: https://scikit-learn.org/stable/modules/density.html
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(9, 4))
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+# generate some random test data
+all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
+
+# plot violin plot
+axs[0].violinplot(all_data,
+                  showmeans=False,
+                  showmedians=True)
+axs[0].set_title('Violin plot')
+
+# plot box plot
+axs[1].boxplot(all_data)
+axs[1].set_title('Box plot')
+
+# adding horizontal grid lines
+for ax in axs:
+    ax.yaxis.grid(True)
+    ax.set_xticks([y + 1 for y in range(len(all_data))],
+                  labels=['x1', 'x2', 'x3', 'x4'])
+    ax.set_xlabel('Four separate samples')
+    ax.set_ylabel('Observed values')
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: violin, plot-type: boxplot, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`
+#    - `matplotlib.axes.Axes.violinplot` / `matplotlib.pyplot.violinplot`
diff --git a/galleries/examples/statistics/bxp.py b/galleries/examples/statistics/bxp.py
new file mode 100644
index 000000000000..763608bf0273
--- /dev/null
+++ b/galleries/examples/statistics/bxp.py
@@ -0,0 +1,76 @@
+"""
+=============================================
+Separate calculation and plotting of boxplots
+=============================================
+
+Drawing a `~.axes.Axes.boxplot` for a given data set, consists of two main operations,
+that can also be used separately:
+
+1. Calculating the boxplot statistics: `matplotlib.cbook.boxplot_stats`
+2. Drawing the boxplot: `matplotlib.axes.Axes.bxp`
+
+Thus, ``ax.boxplot(data)`` is equivalent to ::
+
+    stats = cbook.boxplot_stats(data)
+    ax.bxp(stats)
+
+All styling keyword arguments are identical between `~.axes.Axes.boxplot` and
+`~.axes.Axes.bxp`, and they are passed through from `~.axes.Axes.boxplot` to
+`~.axes.Axes.bxp`. However, the *tick_labels* parameter of `~.axes.Axes.boxplot`
+translates to a generic *labels* parameter in `.boxplot_stats`, because the labels are
+data-related and attached to the returned per-dataset dictionaries.
+
+The following code demonstrates the equivalence between the two methods.
+
+"""
+# sphinx_gallery_thumbnail_number = 2
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import cbook
+
+np.random.seed(19680801)
+data = np.random.randn(20, 3)
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+
+# single boxplot call
+ax1.boxplot(data, tick_labels=['A', 'B', 'C'],
+            patch_artist=True, boxprops={'facecolor': 'bisque'})
+
+# separate calculation of statistics and plotting
+stats = cbook.boxplot_stats(data, labels=['A', 'B', 'C'])
+ax2.bxp(stats, patch_artist=True, boxprops={'facecolor': 'bisque'})
+
+# %%
+# Using the separate functions allows to pre-calculate statistics, in case you need
+# them explicitly for other purposes, or to reuse the statistics for multiple plots.
+#
+# Conversely, you can also use the `~.axes.Axes.bxp` function directly, if you already
+# have the statistical parameters:
+
+fig, ax = plt.subplots()
+
+stats = [
+    dict(med=0, q1=-1, q3=1, whislo=-2, whishi=2, fliers=[-4, -3, 3, 4], label='A'),
+    dict(med=0, q1=-2, q3=2, whislo=-3, whishi=3, fliers=[], label='B'),
+    dict(med=0, q1=-3, q3=3, whislo=-4, whishi=4, fliers=[], label='C'),
+]
+
+ax.bxp(stats, patch_artist=True, boxprops={'facecolor': 'bisque'})
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: specialty, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.bxp`
+#    - `matplotlib.axes.Axes.boxplot`
+#    - `matplotlib.cbook.boxplot_stats`
diff --git a/galleries/examples/statistics/confidence_ellipse.py b/galleries/examples/statistics/confidence_ellipse.py
new file mode 100644
index 000000000000..965a6ee75b0f
--- /dev/null
+++ b/galleries/examples/statistics/confidence_ellipse.py
@@ -0,0 +1,234 @@
+"""
+======================================================
+Plot a confidence ellipse of a two-dimensional dataset
+======================================================
+
+This example shows how to plot a confidence ellipse of a
+two-dimensional dataset, using its pearson correlation coefficient.
+
+The approach that is used to obtain the correct geometry is
+explained and proved here:
+
+https://carstenschelp.github.io/2018/09/14/Plot_Confidence_Ellipse_001.html
+
+The method avoids the use of an iterative eigen decomposition algorithm
+and makes use of the fact that a normalized covariance matrix (composed of
+pearson correlation coefficients and ones) is particularly easy to handle.
+"""
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Ellipse
+import matplotlib.transforms as transforms
+
+# %%
+#
+# The plotting function itself
+# """"""""""""""""""""""""""""
+#
+# This function plots the confidence ellipse of the covariance of the given
+# array-like variables x and y. The ellipse is plotted into the given
+# Axes object *ax*.
+#
+# The radiuses of the ellipse can be controlled by n_std which is the number
+# of standard deviations. The default value is 3 which makes the ellipse
+# enclose 98.9% of the points if the data is normally distributed
+# like in these examples (3 standard deviations in 1-D contain 99.7%
+# of the data, which is 98.9% of the data in 2-D).
+
+
+def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):
+    """
+    Create a plot of the covariance confidence ellipse of *x* and *y*.
+
+    Parameters
+    ----------
+    x, y : array-like, shape (n, )
+        Input data.
+
+    ax : matplotlib.axes.Axes
+        The Axes object to draw the ellipse into.
+
+    n_std : float
+        The number of standard deviations to determine the ellipse's radiuses.
+
+    **kwargs
+        Forwarded to `~matplotlib.patches.Ellipse`
+
+    Returns
+    -------
+    matplotlib.patches.Ellipse
+    """
+    if x.size != y.size:
+        raise ValueError("x and y must be the same size")
+
+    cov = np.cov(x, y)
+    pearson = cov[0, 1]/np.sqrt(cov[0, 0] * cov[1, 1])
+    # Using a special case to obtain the eigenvalues of this
+    # two-dimensional dataset.
+    ell_radius_x = np.sqrt(1 + pearson)
+    ell_radius_y = np.sqrt(1 - pearson)
+    ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,
+                      facecolor=facecolor, **kwargs)
+
+    # Calculating the standard deviation of x from
+    # the squareroot of the variance and multiplying
+    # with the given number of standard deviations.
+    scale_x = np.sqrt(cov[0, 0]) * n_std
+    mean_x = np.mean(x)
+
+    # calculating the standard deviation of y ...
+    scale_y = np.sqrt(cov[1, 1]) * n_std
+    mean_y = np.mean(y)
+
+    transf = transforms.Affine2D() \
+        .rotate_deg(45) \
+        .scale(scale_x, scale_y) \
+        .translate(mean_x, mean_y)
+
+    ellipse.set_transform(transf + ax.transData)
+    return ax.add_patch(ellipse)
+
+
+# %%
+#
+# A helper function to create a correlated dataset
+# """"""""""""""""""""""""""""""""""""""""""""""""
+#
+# Creates a random two-dimensional dataset with the specified
+# two-dimensional mean (mu) and dimensions (scale).
+# The correlation can be controlled by the param 'dependency',
+# a 2x2 matrix.
+
+def get_correlated_dataset(n, dependency, mu, scale):
+    latent = np.random.randn(n, 2)
+    dependent = latent.dot(dependency)
+    scaled = dependent * scale
+    scaled_with_offset = scaled + mu
+    # return x and y of the new, correlated dataset
+    return scaled_with_offset[:, 0], scaled_with_offset[:, 1]
+
+
+# %%
+#
+# Positive, negative and weak correlation
+# """""""""""""""""""""""""""""""""""""""
+#
+# Note that the shape for the weak correlation (right) is an ellipse,
+# not a circle because x and y are differently scaled.
+# However, the fact that x and y are uncorrelated is shown by
+# the axes of the ellipse being aligned with the x- and y-axis
+# of the coordinate system.
+
+np.random.seed(0)
+
+PARAMETERS = {
+    'Positive correlation': [[0.85, 0.35],
+                             [0.15, -0.65]],
+    'Negative correlation': [[0.9, -0.4],
+                             [0.1, -0.6]],
+    'Weak correlation': [[1, 0],
+                         [0, 1]],
+}
+
+mu = 2, 4
+scale = 3, 5
+
+fig, axs = plt.subplots(1, 3, figsize=(9, 3))
+for ax, (title, dependency) in zip(axs, PARAMETERS.items()):
+    x, y = get_correlated_dataset(800, dependency, mu, scale)
+    ax.scatter(x, y, s=0.5)
+
+    ax.axvline(c='grey', lw=1)
+    ax.axhline(c='grey', lw=1)
+
+    confidence_ellipse(x, y, ax, edgecolor='red')
+
+    ax.scatter(mu[0], mu[1], c='red', s=3)
+    ax.set_title(title)
+
+plt.show()
+
+
+# %%
+#
+# Different number of standard deviations
+# """""""""""""""""""""""""""""""""""""""
+#
+# A plot with n_std = 3 (blue), 2 (purple) and 1 (red)
+
+fig, ax_nstd = plt.subplots(figsize=(6, 6))
+
+dependency_nstd = [[0.8, 0.75],
+                   [-0.2, 0.35]]
+mu = 0, 0
+scale = 8, 5
+
+ax_nstd.axvline(c='grey', lw=1)
+ax_nstd.axhline(c='grey', lw=1)
+
+x, y = get_correlated_dataset(500, dependency_nstd, mu, scale)
+ax_nstd.scatter(x, y, s=0.5)
+
+confidence_ellipse(x, y, ax_nstd, n_std=1,
+                   label=r'$1\sigma$', edgecolor='firebrick')
+confidence_ellipse(x, y, ax_nstd, n_std=2,
+                   label=r'$2\sigma$', edgecolor='fuchsia', linestyle='--')
+confidence_ellipse(x, y, ax_nstd, n_std=3,
+                   label=r'$3\sigma$', edgecolor='blue', linestyle=':')
+
+ax_nstd.scatter(mu[0], mu[1], c='red', s=3)
+ax_nstd.set_title('Different standard deviations')
+ax_nstd.legend()
+plt.show()
+
+
+# %%
+#
+# Using the keyword arguments
+# """""""""""""""""""""""""""
+#
+# Use the keyword arguments specified for `matplotlib.patches.Patch` in order
+# to have the ellipse rendered in different ways.
+
+fig, ax_kwargs = plt.subplots(figsize=(6, 6))
+dependency_kwargs = [[-0.8, 0.5],
+                     [-0.2, 0.5]]
+mu = 2, -3
+scale = 6, 5
+
+ax_kwargs.axvline(c='grey', lw=1)
+ax_kwargs.axhline(c='grey', lw=1)
+
+x, y = get_correlated_dataset(500, dependency_kwargs, mu, scale)
+# Plot the ellipse with zorder=0 in order to demonstrate
+# its transparency (caused by the use of alpha).
+confidence_ellipse(x, y, ax_kwargs,
+                   alpha=0.5, facecolor='pink', edgecolor='purple', zorder=0)
+
+ax_kwargs.scatter(x, y, s=0.5)
+ax_kwargs.scatter(mu[0], mu[1], c='red', s=3)
+ax_kwargs.set_title('Using keyword arguments')
+
+fig.subplots_adjust(hspace=0.25)
+plt.show()
+
+# %%
+#
+# .. tags::
+#
+#    plot-type: specialty
+#    plot-type: scatter
+#    component: ellipse
+#    component: patch
+#    domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.transforms.Affine2D`
+#    - `matplotlib.patches.Ellipse`
diff --git a/galleries/examples/statistics/customized_violin.py b/galleries/examples/statistics/customized_violin.py
new file mode 100644
index 000000000000..cc18e47ebd67
--- /dev/null
+++ b/galleries/examples/statistics/customized_violin.py
@@ -0,0 +1,94 @@
+"""
+=========================
+Violin plot customization
+=========================
+
+This example demonstrates how to fully customize violin plots. The first plot
+shows the default style by providing only the data. The second plot first
+limits what Matplotlib draws with additional keyword arguments. Then a
+simplified representation of a box plot is drawn on top. Lastly, the styles of
+the artists of the violins are modified.
+
+For more information on violin plots, the scikit-learn docs have a great
+section: https://scikit-learn.org/stable/modules/density.html
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def adjacent_values(vals, q1, q3):
+    upper_adjacent_value = q3 + (q3 - q1) * 1.5
+    upper_adjacent_value = np.clip(upper_adjacent_value, q3, vals[-1])
+
+    lower_adjacent_value = q1 - (q3 - q1) * 1.5
+    lower_adjacent_value = np.clip(lower_adjacent_value, vals[0], q1)
+    return lower_adjacent_value, upper_adjacent_value
+
+
+def set_axis_style(ax, labels):
+    ax.set_xticks(np.arange(1, len(labels) + 1), labels=labels)
+    ax.set_xlim(0.25, len(labels) + 0.75)
+    ax.set_xlabel('Sample name')
+
+
+# create test data
+np.random.seed(19680801)
+data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 5)]
+
+fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(9, 3), sharey=True)
+
+ax1.set_title('Default violin plot')
+ax1.set_ylabel('Observed values')
+ax1.violinplot(data)
+
+ax2.set_title('Set colors of violins')
+ax2.set_ylabel('Observed values')
+ax2.violinplot(
+    data,
+    facecolor=[('yellow', 0.3), ('blue', 0.3), ('red', 0.3), ('green', 0.3)],
+    linecolor='black',
+)
+# Note that when passing a sequence of colors, the method will repeat the sequence if
+# less colors are provided than data distributions.
+
+ax3.set_title('Customized violin plot')
+parts = ax3.violinplot(
+        data, showmeans=False, showmedians=False, showextrema=False,
+        facecolor='#D43F3A', linecolor='black')
+
+for pc in parts['bodies']:
+    pc.set_edgecolor('black')
+    pc.set_linewidth(1)
+    pc.set_alpha(1)
+
+quartile1, medians, quartile3 = np.percentile(data, [25, 50, 75], axis=1)
+whiskers = np.array([
+    adjacent_values(sorted_array, q1, q3)
+    for sorted_array, q1, q3 in zip(data, quartile1, quartile3)])
+whiskers_min, whiskers_max = whiskers[:, 0], whiskers[:, 1]
+
+inds = np.arange(1, len(medians) + 1)
+ax3.scatter(inds, medians, marker='o', color='white', s=30, zorder=3)
+ax3.vlines(inds, quartile1, quartile3, color='k', linestyle='-', lw=5)
+ax3.vlines(inds, whiskers_min, whiskers_max, color='k', linestyle='-', lw=1)
+
+# set style for the axes
+labels = ['A', 'B', 'C', 'D']
+for ax in [ax1, ax2, ax3]:
+    set_axis_style(ax, labels)
+
+plt.subplots_adjust(bottom=0.15, wspace=0.05)
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: violin, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.violinplot` / `matplotlib.pyplot.violinplot`
+#    - `matplotlib.axes.Axes.vlines` / `matplotlib.pyplot.vlines`
diff --git a/galleries/examples/statistics/errorbar.py b/galleries/examples/statistics/errorbar.py
new file mode 100644
index 000000000000..019590dc3f32
--- /dev/null
+++ b/galleries/examples/statistics/errorbar.py
@@ -0,0 +1,32 @@
+"""
+=================
+Errorbar function
+=================
+
+This exhibits the most basic use of the error bar method.
+In this case, constant values are provided for the error
+in both the x- and y-directions.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# example data
+x = np.arange(0.1, 4, 0.5)
+y = np.exp(-x)
+
+fig, ax = plt.subplots()
+ax.errorbar(x, y, xerr=0.2, yerr=0.4)
+plt.show()
+
+# %%
+#
+#
+# .. tags:: plot-type: errorbar, domain: statistics,
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
diff --git a/galleries/examples/statistics/errorbar_features.py b/galleries/examples/statistics/errorbar_features.py
new file mode 100644
index 000000000000..8abaffcda537
--- /dev/null
+++ b/galleries/examples/statistics/errorbar_features.py
@@ -0,0 +1,58 @@
+"""
+=======================================
+Different ways of specifying error bars
+=======================================
+
+Errors can be specified as a constant value (as shown in
+:doc:`/gallery/statistics/errorbar`). However, this example demonstrates
+how they vary by specifying arrays of error values.
+
+If the raw ``x`` and ``y`` data have length N, there are two options:
+
+Array of shape (N,):
+    Error varies for each point, but the error values are
+    symmetric (i.e. the lower and upper values are equal).
+
+Array of shape (2, N):
+    Error varies for each point, and the lower and upper limits
+    (in that order) are different (asymmetric case)
+
+In addition, this example demonstrates how to use log
+scale with error bars.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# example data
+x = np.arange(0.1, 4, 0.5)
+y = np.exp(-x)
+
+# example error bar values that vary with x-position
+error = 0.1 + 0.2 * x
+
+fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)
+ax0.errorbar(x, y, yerr=error, fmt='-o')
+ax0.set_title('variable, symmetric error')
+
+# error bar values w/ different -/+ errors that
+# also vary with the x-position
+lower_error = 0.4 * error
+upper_error = error
+asymmetric_error = [lower_error, upper_error]
+
+ax1.errorbar(x, y, xerr=asymmetric_error, fmt='o')
+ax1.set_title('variable, asymmetric error')
+ax1.set_yscale('log')
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: errorbar, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
diff --git a/galleries/examples/statistics/errorbar_limits.py b/galleries/examples/statistics/errorbar_limits.py
new file mode 100644
index 000000000000..f1d26460d947
--- /dev/null
+++ b/galleries/examples/statistics/errorbar_limits.py
@@ -0,0 +1,87 @@
+"""
+==============================================
+Including upper and lower limits in error bars
+==============================================
+
+In matplotlib, errors bars can have "limits". Applying limits to the
+error bars essentially makes the error unidirectional. Because of that,
+upper and lower limits can be applied in both the y- and x-directions
+via the ``uplims``, ``lolims``, ``xuplims``, and ``xlolims`` parameters,
+respectively. These parameters can be scalar or boolean arrays.
+
+For example, if ``xlolims`` is ``True``, the x-error bars will only
+extend from the data towards increasing values. If ``uplims`` is an
+array filled with ``False`` except for the 4th and 7th values, all of the
+y-error bars will be bidirectional, except the 4th and 7th bars, which
+will extend from the data towards decreasing y-values.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# example data
+x = np.array([0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0])
+y = np.exp(-x)
+xerr = 0.1
+yerr = 0.2
+
+# lower & upper limits of the error
+lolims = np.array([0, 0, 1, 0, 1, 0, 0, 0, 1, 0], dtype=bool)
+uplims = np.array([0, 1, 0, 0, 0, 1, 0, 0, 0, 1], dtype=bool)
+ls = 'dotted'
+
+fig, ax = plt.subplots(figsize=(7, 4))
+
+# standard error bars
+ax.errorbar(x, y, xerr=xerr, yerr=yerr, linestyle=ls)
+
+# including upper limits
+ax.errorbar(x, y + 0.5, xerr=xerr, yerr=yerr, uplims=uplims,
+            linestyle=ls)
+
+# including lower limits
+ax.errorbar(x, y + 1.0, xerr=xerr, yerr=yerr, lolims=lolims,
+            linestyle=ls)
+
+# including upper and lower limits
+ax.errorbar(x, y + 1.5, xerr=xerr, yerr=yerr,
+            lolims=lolims, uplims=uplims,
+            marker='o', markersize=8,
+            linestyle=ls)
+
+# Plot a series with lower and upper limits in both x & y
+# constant x-error with varying y-error
+xerr = 0.2
+yerr = np.full_like(x, 0.2)
+yerr[[3, 6]] = 0.3
+
+# mock up some limits by modifying previous data
+xlolims = lolims
+xuplims = uplims
+lolims = np.zeros_like(x)
+uplims = np.zeros_like(x)
+lolims[[6]] = True  # only limited at this index
+uplims[[3]] = True  # only limited at this index
+
+# do the plotting
+ax.errorbar(x, y + 2.1, xerr=xerr, yerr=yerr,
+            xlolims=xlolims, xuplims=xuplims,
+            uplims=uplims, lolims=lolims,
+            marker='o', markersize=8,
+            linestyle='none')
+
+# tidy up the figure
+ax.set_xlim((0, 5.5))
+ax.set_title('Errorbar upper and lower limits')
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: errorbar, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
diff --git a/galleries/examples/statistics/errorbars_and_boxes.py b/galleries/examples/statistics/errorbars_and_boxes.py
new file mode 100644
index 000000000000..10face31f2d6
--- /dev/null
+++ b/galleries/examples/statistics/errorbars_and_boxes.py
@@ -0,0 +1,89 @@
+"""
+==================================================
+Create boxes from error bars using PatchCollection
+==================================================
+
+In this example, we snazz up a pretty standard error bar plot by adding
+a rectangle patch defined by the limits of the bars in both the x- and
+y- directions. To do this, we have to write our own custom function
+called ``make_error_boxes``. Close inspection of this function will
+reveal the preferred pattern in writing functions for matplotlib:
+
+1. an `~.axes.Axes` object is passed directly to the function
+2. the function operates on the ``Axes`` methods directly, not through
+   the ``pyplot`` interface
+3. plotting keyword arguments that could be abbreviated are spelled out for
+   better code readability in the future (for example we use *facecolor*
+   instead of *fc*)
+4. the artists returned by the ``Axes`` plotting methods are then
+   returned by the function so that, if desired, their styles
+   can be modified later outside of the function (they are not
+   modified in this example).
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.collections import PatchCollection
+from matplotlib.patches import Rectangle
+
+# Number of data points
+n = 5
+
+# Dummy data
+np.random.seed(19680801)
+x = np.arange(0, n, 1)
+y = np.random.rand(n) * 5.
+
+# Dummy errors (above and below)
+xerr = np.random.rand(2, n) + 0.1
+yerr = np.random.rand(2, n) + 0.2
+
+
+def make_error_boxes(ax, xdata, ydata, xerror, yerror, facecolor='r',
+                     edgecolor='none', alpha=0.5):
+
+    # Loop over data points; create box from errors at each point
+    errorboxes = [Rectangle((x - xe[0], y - ye[0]), xe.sum(), ye.sum())
+                  for x, y, xe, ye in zip(xdata, ydata, xerror.T, yerror.T)]
+
+    # Create patch collection with specified colour/alpha
+    pc = PatchCollection(errorboxes, facecolor=facecolor, alpha=alpha,
+                         edgecolor=edgecolor)
+
+    # Add collection to Axes
+    ax.add_collection(pc)
+
+    # Plot errorbars
+    artists = ax.errorbar(xdata, ydata, xerr=xerror, yerr=yerror,
+                          fmt='none', ecolor='k')
+
+    return artists
+
+
+# Create figure and Axes
+fig, ax = plt.subplots(1)
+
+# Call function to create error boxes
+_ = make_error_boxes(ax, x, y, xerr, yerr)
+
+plt.show()
+
+# %%
+#
+#
+# .. tags::
+#
+#    plot-type: errorbar
+#    component: rectangle
+#    component: patchcollection
+#    domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.errorbar` / `matplotlib.pyplot.errorbar`
+#    - `matplotlib.axes.Axes.add_collection`
+#    - `matplotlib.collections.PatchCollection`
diff --git a/galleries/examples/statistics/hexbin_demo.py b/galleries/examples/statistics/hexbin_demo.py
new file mode 100644
index 000000000000..bd1522772aae
--- /dev/null
+++ b/galleries/examples/statistics/hexbin_demo.py
@@ -0,0 +1,45 @@
+"""
+=====================
+Hexagonal binned plot
+=====================
+
+`~.Axes.hexbin` is a 2D histogram plot, in which the bins are hexagons and
+the color represents the number of data points within each bin.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+n = 100_000
+x = np.random.standard_normal(n)
+y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
+xlim = x.min(), x.max()
+ylim = y.min(), y.max()
+
+fig, (ax0, ax1) = plt.subplots(ncols=2, sharey=True, figsize=(9, 4))
+
+hb = ax0.hexbin(x, y, gridsize=50, cmap='inferno')
+ax0.set(xlim=xlim, ylim=ylim)
+ax0.set_title("Hexagon binning")
+cb = fig.colorbar(hb, ax=ax0, label='counts')
+
+hb = ax1.hexbin(x, y, gridsize=50, bins='log', cmap='inferno')
+ax1.set(xlim=xlim, ylim=ylim)
+ax1.set_title("With a log color scale")
+cb = fig.colorbar(hb, ax=ax1, label='counts')
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: histogram, plot-type: hexbin, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hexbin` / `matplotlib.pyplot.hexbin`
diff --git a/galleries/examples/statistics/hist.py b/galleries/examples/statistics/hist.py
new file mode 100644
index 000000000000..4c3294b369a8
--- /dev/null
+++ b/galleries/examples/statistics/hist.py
@@ -0,0 +1,122 @@
+"""
+==========
+Histograms
+==========
+
+How to plot histograms with Matplotlib.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib import colors
+from matplotlib.ticker import PercentFormatter
+
+# Create a random number generator with a fixed seed for reproducibility
+rng = np.random.default_rng(19680801)
+
+# %%
+# Generate data and plot a simple histogram
+# -----------------------------------------
+#
+# To generate a 1D histogram we only need a single vector of numbers. For a 2D
+# histogram we'll need a second vector. We'll generate both below, and show
+# the histogram for each vector.
+
+N_points = 100000
+n_bins = 20
+
+# Generate two normal distributions
+dist1 = rng.standard_normal(N_points)
+dist2 = 0.4 * rng.standard_normal(N_points) + 5
+
+fig, axs = plt.subplots(1, 2, sharey=True, tight_layout=True)
+
+# We can set the number of bins with the *bins* keyword argument.
+axs[0].hist(dist1, bins=n_bins)
+axs[1].hist(dist2, bins=n_bins)
+
+plt.show()
+
+
+# %%
+# Updating histogram colors
+# -------------------------
+#
+# The histogram method returns (among other things) a ``patches`` object. This
+# gives us access to the properties of the objects drawn. Using this, we can
+# edit the histogram to our liking. Let's change the color of each bar
+# based on its y value.
+
+fig, axs = plt.subplots(1, 2, tight_layout=True)
+
+# N is the count in each bin, bins is the lower-limit of the bin
+N, bins, patches = axs[0].hist(dist1, bins=n_bins)
+
+# We'll color code by height, but you could use any scalar
+fracs = N / N.max()
+
+# we need to normalize the data to 0..1 for the full range of the colormap
+norm = colors.Normalize(fracs.min(), fracs.max())
+
+# Now, we'll loop through our objects and set the color of each accordingly
+for thisfrac, thispatch in zip(fracs, patches):
+    color = plt.colormaps["viridis"](norm(thisfrac))
+    thispatch.set_facecolor(color)
+
+# We can also normalize our inputs by the total number of counts
+axs[1].hist(dist1, bins=n_bins, density=True)
+
+# Now we format the y-axis to display percentage
+axs[1].yaxis.set_major_formatter(PercentFormatter(xmax=1))
+
+
+# %%
+# Plot a 2D histogram
+# -------------------
+#
+# To plot a 2D histogram, one only needs two vectors of the same length,
+# corresponding to each axis of the histogram.
+
+fig, ax = plt.subplots(tight_layout=True)
+hist = ax.hist2d(dist1, dist2)
+
+
+# %%
+# Customizing your histogram
+# --------------------------
+#
+# Customizing a 2D histogram is similar to the 1D case, you can control
+# visual components such as the bin size or color normalization.
+
+fig, axs = plt.subplots(3, 1, figsize=(5, 15), sharex=True, sharey=True,
+                        tight_layout=True)
+
+# We can increase the number of bins on each axis
+axs[0].hist2d(dist1, dist2, bins=40)
+
+# As well as define normalization of the colors
+axs[1].hist2d(dist1, dist2, bins=40, norm=colors.LogNorm())
+
+# We can also define custom numbers of bins for each axis
+axs[2].hist2d(dist1, dist2, bins=(80, 10), norm=colors.LogNorm())
+
+# %%
+#
+# .. tags::
+#
+#    plot-type: histogram,
+#    plot-type: histogram2d
+#    domain: statistics
+#    styling: color,
+#    component: normalization
+#    component: patch
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
+#    - `matplotlib.pyplot.hist2d`
+#    - `matplotlib.ticker.PercentFormatter`
diff --git a/galleries/examples/statistics/histogram_bihistogram.py b/galleries/examples/statistics/histogram_bihistogram.py
new file mode 100644
index 000000000000..73f549493438
--- /dev/null
+++ b/galleries/examples/statistics/histogram_bihistogram.py
@@ -0,0 +1,49 @@
+"""
+===========
+Bihistogram
+===========
+
+How to plot a bihistogram with Matplotlib.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create a random number generator with a fixed seed for reproducibility
+rng = np.random.default_rng(19680801)
+
+# %%
+# Generate data and plot a bihistogram
+# ------------------------------------
+#
+# To generate a bihistogram we need two datasets (each being a vector of numbers).
+# We will plot both histograms using plt.hist() and set the weights of the second
+# one to be negative. We'll generate data below and plot the bihistogram.
+
+N_points = 10_000
+
+# Generate two normal distributions
+dataset1 = np.random.normal(0, 1, size=N_points)
+dataset2 = np.random.normal(1, 2, size=N_points)
+
+# Use a constant bin width to make the two histograms easier to compare visually
+bin_width = 0.25
+bins = np.arange(np.min([dataset1, dataset2]),
+                    np.max([dataset1, dataset2]) + bin_width, bin_width)
+
+fig, ax = plt.subplots()
+
+# Plot the first histogram
+ax.hist(dataset1, bins=bins, label="Dataset 1")
+
+# Plot the second histogram
+# (notice the negative weights, which flip the histogram upside down)
+ax.hist(dataset2, weights=-np.ones_like(dataset2), bins=bins, label="Dataset 2")
+ax.axhline(0, color="k")
+ax.legend()
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: histogram, domain: statistics, purpose: showcase
diff --git a/galleries/examples/statistics/histogram_cumulative.py b/galleries/examples/statistics/histogram_cumulative.py
new file mode 100644
index 000000000000..7d6735d7b9a6
--- /dev/null
+++ b/galleries/examples/statistics/histogram_cumulative.py
@@ -0,0 +1,78 @@
+"""
+========================
+Cumulative distributions
+========================
+
+This example shows how to plot the empirical cumulative distribution function
+(ECDF) of a sample. We also show the theoretical CDF.
+
+In engineering, ECDFs are sometimes called "non-exceedance" curves: the y-value
+for a given x-value gives probability that an observation from the sample is
+below that x-value. For example, the value of 220 on the x-axis corresponds to
+about 0.80 on the y-axis, so there is an 80% chance that an observation in the
+sample does not exceed 220. Conversely, the empirical *complementary*
+cumulative distribution function (the ECCDF, or "exceedance" curve) shows the
+probability y that an observation from the sample is above a value x.
+
+A direct method to plot ECDFs is `.Axes.ecdf`.  Passing ``complementary=True``
+results in an ECCDF instead.
+
+Alternatively, one can use ``ax.hist(data, density=True, cumulative=True)`` to
+first bin the data, as if plotting a histogram, and then compute and plot the
+cumulative sums of the frequencies of entries in each bin.  Here, to plot the
+ECCDF, pass ``cumulative=-1``.  Note that this approach results in an
+approximation of the E(C)CDF, whereas `.Axes.ecdf` is exact.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+mu = 200
+sigma = 25
+n_bins = 25
+data = np.random.normal(mu, sigma, size=100)
+
+fig = plt.figure(figsize=(9, 4), layout="constrained")
+axs = fig.subplots(1, 2, sharex=True, sharey=True)
+
+# Cumulative distributions.
+axs[0].ecdf(data, label="CDF")
+n, bins, patches = axs[0].hist(data, n_bins, density=True, histtype="step",
+                               cumulative=True, label="Cumulative histogram")
+x = np.linspace(data.min(), data.max())
+y = ((1 / (np.sqrt(2 * np.pi) * sigma)) *
+     np.exp(-0.5 * (1 / sigma * (x - mu))**2))
+y = y.cumsum()
+y /= y[-1]
+axs[0].plot(x, y, "k--", linewidth=1.5, label="Theory")
+
+# Complementary cumulative distributions.
+axs[1].ecdf(data, complementary=True, label="CCDF")
+axs[1].hist(data, bins=bins, density=True, histtype="step", cumulative=-1,
+            label="Reversed cumulative histogram")
+axs[1].plot(x, 1 - y, "k--", linewidth=1.5, label="Theory")
+
+# Label the figure.
+fig.suptitle("Cumulative distributions")
+for ax in axs:
+    ax.grid(True)
+    ax.legend()
+    ax.set_xlabel("Annual rainfall (mm)")
+    ax.set_ylabel("Probability of occurrence")
+    ax.label_outer()
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: ecdf, plot-type: histogram, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
+#    - `matplotlib.axes.Axes.ecdf` / `matplotlib.pyplot.ecdf`
diff --git a/galleries/examples/statistics/histogram_histtypes.py b/galleries/examples/statistics/histogram_histtypes.py
new file mode 100644
index 000000000000..53d6425cf4dc
--- /dev/null
+++ b/galleries/examples/statistics/histogram_histtypes.py
@@ -0,0 +1,61 @@
+"""
+================================================================
+Demo of the histogram function's different ``histtype`` settings
+================================================================
+
+* Histogram with step curve that has a color fill.
+* Histogram with step curve with no fill.
+* Histogram with custom and unequal bin widths.
+* Two histograms with stacked bars.
+
+Selecting different bin counts and sizes can significantly affect the
+shape of a histogram. The Astropy docs have a great section on how to
+select these parameters:
+http://docs.astropy.org/en/stable/visualization/histogram.html
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+mu_x = 200
+sigma_x = 25
+x = np.random.normal(mu_x, sigma_x, size=100)
+
+mu_w = 200
+sigma_w = 10
+w = np.random.normal(mu_w, sigma_w, size=100)
+
+fig, axs = plt.subplots(nrows=2, ncols=2)
+
+axs[0, 0].hist(x, 20, density=True, histtype='stepfilled', facecolor='g',
+               alpha=0.75)
+axs[0, 0].set_title('stepfilled')
+
+axs[0, 1].hist(x, 20, density=True, histtype='step', facecolor='g',
+               alpha=0.75)
+axs[0, 1].set_title('step')
+
+axs[1, 0].hist(x, density=True, histtype='barstacked', rwidth=0.8)
+axs[1, 0].hist(w, density=True, histtype='barstacked', rwidth=0.8)
+axs[1, 0].set_title('barstacked')
+
+# Create a histogram by providing the bin edges (unequally spaced).
+bins = [100, 150, 180, 195, 205, 220, 250, 300]
+axs[1, 1].hist(x, bins, density=True, histtype='bar', rwidth=0.8)
+axs[1, 1].set_title('bar, unequal bins')
+
+fig.tight_layout()
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: histogram, domain: statistics, purpose: reference
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
diff --git a/galleries/examples/statistics/histogram_multihist.py b/galleries/examples/statistics/histogram_multihist.py
new file mode 100644
index 000000000000..a85ec2acfa8d
--- /dev/null
+++ b/galleries/examples/statistics/histogram_multihist.py
@@ -0,0 +1,148 @@
+"""
+=====================================================
+The histogram (hist) function with multiple data sets
+=====================================================
+
+Plot histogram with multiple sample sets and demonstrate:
+
+* Use of legend with multiple sample sets
+* Stacked bars
+* Step curve with no fill
+* Data sets of different sample sizes
+
+Selecting different bin counts and sizes can significantly affect the
+shape of a histogram. The Astropy docs have a great section on how to
+select these parameters:
+http://docs.astropy.org/en/stable/visualization/histogram.html
+
+.. redirect-from:: /gallery/lines_bars_and_markers/filled_step
+
+"""
+# %%
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+n_bins = 10
+x = np.random.randn(1000, 3)
+
+fig, ((ax0, ax1), (ax2, ax3)) = plt.subplots(nrows=2, ncols=2)
+
+colors = ['red', 'tan', 'lime']
+ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors)
+ax0.legend(prop={'size': 10})
+ax0.set_title('bars with legend')
+
+ax1.hist(x, n_bins, density=True, histtype='bar', stacked=True)
+ax1.set_title('stacked bar')
+
+ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False)
+ax2.set_title('stack step (unfilled)')
+
+# Make a multiple-histogram of data-sets with different length.
+x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
+ax3.hist(x_multi, n_bins, histtype='bar')
+ax3.set_title('different sample sizes')
+
+fig.tight_layout()
+plt.show()
+
+# %%
+# -----------------------------------
+# Setting properties for each dataset
+# -----------------------------------
+#
+# You can style the histograms individually by passing a list of values to the
+# following parameters:
+#
+# * edgecolor
+# * facecolor
+# * hatch
+# * linewidth
+# * linestyle
+#
+#
+# edgecolor
+# .........
+
+fig, ax = plt.subplots()
+
+edgecolors = ['green', 'red', 'blue']
+
+ax.hist(x, n_bins, fill=False, histtype="step", stacked=True,
+        edgecolor=edgecolors, label=edgecolors)
+ax.legend()
+ax.set_title('Stacked Steps with Edgecolors')
+
+plt.show()
+
+# %%
+# facecolor
+# .........
+
+fig, ax = plt.subplots()
+
+facecolors = ['green', 'red', 'blue']
+
+ax.hist(x, n_bins, histtype="barstacked", facecolor=facecolors, label=facecolors)
+ax.legend()
+ax.set_title("Bars with different Facecolors")
+
+plt.show()
+
+# %%
+# hatch
+# .....
+
+fig, ax = plt.subplots()
+
+hatches = [".", "o", "x"]
+
+ax.hist(x, n_bins, histtype="barstacked", hatch=hatches, label=hatches)
+ax.legend()
+ax.set_title("Hatches on Stacked Bars")
+
+plt.show()
+
+# %%
+# linewidth
+# .........
+
+fig, ax = plt.subplots()
+
+linewidths = [1, 2, 3]
+edgecolors = ["green", "red", "blue"]
+
+ax.hist(x, n_bins, fill=False, histtype="bar", linewidth=linewidths,
+        edgecolor=edgecolors, label=linewidths)
+ax.legend()
+ax.set_title("Bars with Linewidths")
+
+plt.show()
+
+# %%
+# linestyle
+# .........
+
+fig, ax = plt.subplots()
+
+linestyles = ['-', ':', '--']
+
+ax.hist(x, n_bins, fill=False, histtype='bar', linestyle=linestyles,
+        edgecolor=edgecolors, label=linestyles)
+ax.legend()
+ax.set_title('Bars with Linestyles')
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: histogram, domain: statistics, purpose: reference
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
diff --git a/galleries/examples/statistics/histogram_normalization.py b/galleries/examples/statistics/histogram_normalization.py
new file mode 100644
index 000000000000..2c423edad208
--- /dev/null
+++ b/galleries/examples/statistics/histogram_normalization.py
@@ -0,0 +1,257 @@
+"""
+.. redirect-from:: /gallery/statistics/histogram_features
+
+===================================
+Histogram bins, density, and weight
+===================================
+
+The `.Axes.hist` method can flexibly create histograms in a few different ways,
+which is flexible and helpful, but can also lead to confusion.  In particular,
+you can:
+
+- bin the data as you want, either with an automatically chosen number of
+  bins, or with fixed bin edges,
+- normalize the histogram so that its integral is one,
+- and assign weights to the data points, so that each data point affects the
+  count in its bin differently.
+
+The Matplotlib ``hist`` method calls `numpy.histogram` and plots the results,
+therefore users should consult the numpy documentation for a definitive guide.
+
+Histograms are created by defining bin edges, and taking a dataset of values
+and sorting them into the bins, and counting or summing how much data is in
+each bin.  In this simple example, 9 numbers between 1 and 4 are sorted into 3
+bins:
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+rng = np.random.default_rng(19680801)
+
+xdata = np.array([1.2, 2.3, 3.3, 3.1, 1.7, 3.4, 2.1, 1.25, 1.3])
+xbins = np.array([1, 2, 3, 4])
+
+# changing the style of the histogram bars just to make it
+# very clear where the boundaries of the bins are:
+style = {'facecolor': 'none', 'edgecolor': 'C0', 'linewidth': 3}
+
+fig, ax = plt.subplots()
+ax.hist(xdata, bins=xbins, **style)
+
+# plot the xdata locations on the x axis:
+ax.plot(xdata, 0*xdata, 'd')
+ax.set_ylabel('Number per bin')
+ax.set_xlabel('x bins (dx=1.0)')
+
+# %%
+# Modifying bins
+# ==============
+#
+# Changing the bin size changes the shape of this sparse histogram, so its a
+# good idea to choose bins with some care with respect to your data.  Here we
+# make the bins half as wide.
+
+xbins = np.arange(1, 4.5, 0.5)
+
+fig, ax = plt.subplots()
+ax.hist(xdata, bins=xbins, **style)
+ax.plot(xdata, 0*xdata, 'd')
+ax.set_ylabel('Number per bin')
+ax.set_xlabel('x bins (dx=0.5)')
+
+# %%
+# We can also let numpy (via Matplotlib) choose the bins automatically, or
+# specify a number of bins to choose automatically:
+
+fig, ax = plt.subplot_mosaic([['auto', 'n4']],
+                             sharex=True, sharey=True, layout='constrained')
+
+ax['auto'].hist(xdata, **style)
+ax['auto'].plot(xdata, 0*xdata, 'd')
+ax['auto'].set_ylabel('Number per bin')
+ax['auto'].set_xlabel('x bins (auto)')
+
+ax['n4'].hist(xdata, bins=4, **style)
+ax['n4'].plot(xdata, 0*xdata, 'd')
+ax['n4'].set_xlabel('x bins ("bins=4")')
+
+# %%
+# Normalizing histograms: density and weight
+# ==========================================
+#
+# Counts-per-bin is the default length of each bar in the histogram.  However,
+# we can also normalize the bar lengths as a probability density function using
+# the ``density`` parameter:
+
+fig, ax = plt.subplots()
+ax.hist(xdata, bins=xbins, density=True, **style)
+ax.set_ylabel('Probability density [$V^{-1}$])')
+ax.set_xlabel('x bins (dx=0.5 $V$)')
+
+# %%
+# This normalization can be a little hard to interpret when just exploring the
+# data. The value attached to each bar is divided by the total number of data
+# points *and* the width of the bin, and thus the values _integrate_ to one
+# when integrating across the full range of data.
+# e.g. ::
+#
+#     density = counts / (sum(counts) * np.diff(bins))
+#     np.sum(density * np.diff(bins)) == 1
+#
+# This normalization is how `probability density functions
+# <https://en.wikipedia.org/wiki/Probability_density_function>`_ are defined in
+# statistics.  If :math:`X` is a random variable on :math:`x`, then :math:`f_X`
+# is is the probability density function if :math:`P[a<X<b] = \int_a^b f_X dx`.
+# If the units of x are Volts, then the units of :math:`f_X` are :math:`V^{-1}`
+# or probability per change in voltage.
+#
+# The usefulness of this normalization is a little more clear when we draw from
+# a known distribution and try to compare with theory.  So, choose 1000 points
+# from a `normal distribution
+# <https://en.wikipedia.org/wiki/Normal_distribution>`_, and also calculate the
+# known probability density function:
+
+xdata = rng.normal(size=1000)
+xpdf = np.arange(-4, 4, 0.1)
+pdf = 1 / (np.sqrt(2 * np.pi)) * np.exp(-xpdf**2 / 2)
+
+# %%
+# If we don't use ``density=True``, we need to scale the expected probability
+# distribution function by both the length of the data and the width of the
+# bins:
+
+fig, ax = plt.subplot_mosaic([['False', 'True']], layout='constrained')
+dx = 0.1
+xbins = np.arange(-4, 4, dx)
+ax['False'].hist(xdata, bins=xbins, density=False, histtype='step', label='Counts')
+
+# scale and plot the expected pdf:
+ax['False'].plot(xpdf, pdf * len(xdata) * dx, label=r'$N\,f_X(x)\,\delta x$')
+ax['False'].set_ylabel('Count per bin')
+ax['False'].set_xlabel('x bins [V]')
+ax['False'].legend()
+
+ax['True'].hist(xdata, bins=xbins, density=True, histtype='step', label='density')
+ax['True'].plot(xpdf, pdf, label='$f_X(x)$')
+ax['True'].set_ylabel('Probability density [$V^{-1}$]')
+ax['True'].set_xlabel('x bins [$V$]')
+ax['True'].legend()
+
+# %%
+# One advantage of using the density is therefore that the shape and amplitude
+# of the histogram does not depend on the size of the bins.  Consider an
+# extreme case where the bins do not have the same width.  In this example, the
+# bins below ``x=-1.25`` are six times wider than the rest of the bins.   By
+# normalizing by density, we preserve the shape of the distribution, whereas if
+# we do not, then the wider bins have much higher counts than the thinner bins:
+
+fig, ax = plt.subplot_mosaic([['False', 'True']], layout='constrained')
+dx = 0.1
+xbins = np.hstack([np.arange(-4, -1.25, 6*dx), np.arange(-1.25, 4, dx)])
+ax['False'].hist(xdata, bins=xbins, density=False, histtype='step', label='Counts')
+ax['False'].plot(xpdf, pdf * len(xdata) * dx, label=r'$N\,f_X(x)\,\delta x_0$')
+ax['False'].set_ylabel('Count per bin')
+ax['False'].set_xlabel('x bins [V]')
+ax['False'].legend()
+
+ax['True'].hist(xdata, bins=xbins, density=True, histtype='step', label='density')
+ax['True'].plot(xpdf, pdf, label='$f_X(x)$')
+ax['True'].set_ylabel('Probability density [$V^{-1}$]')
+ax['True'].set_xlabel('x bins [$V$]')
+ax['True'].legend()
+
+# %%
+# Similarly, if we want to compare histograms with different bin widths, we may
+# want to use ``density=True``:
+
+fig, ax = plt.subplot_mosaic([['False', 'True']], layout='constrained')
+
+# expected PDF
+ax['True'].plot(xpdf, pdf, '--', label='$f_X(x)$', color='k')
+
+for nn, dx in enumerate([0.1, 0.4, 1.2]):
+    xbins = np.arange(-4, 4, dx)
+    # expected histogram:
+    ax['False'].plot(xpdf, pdf*1000*dx, '--', color=f'C{nn}')
+    ax['False'].hist(xdata, bins=xbins, density=False, histtype='step')
+
+    ax['True'].hist(xdata, bins=xbins, density=True, histtype='step', label=dx)
+
+# Labels:
+ax['False'].set_xlabel('x bins [$V$]')
+ax['False'].set_ylabel('Count per bin')
+ax['True'].set_ylabel('Probability density [$V^{-1}$]')
+ax['True'].set_xlabel('x bins [$V$]')
+ax['True'].legend(fontsize='small', title='bin width:')
+
+# %%
+# Sometimes people want to normalize so that the sum of counts is one.  This is
+# analogous to a `probability mass function
+# <https://en.wikipedia.org/wiki/Probability_mass_function>`_ for a discrete
+# variable where the sum of probabilities for all the values equals one.  Using
+# ``hist``, we can get this normalization if we set the *weights* to 1/N.
+# Note that the amplitude of this normalized histogram still depends on
+# width and/or number of the bins:
+
+fig, ax = plt.subplots(layout='constrained', figsize=(3.5, 3))
+
+for nn, dx in enumerate([0.1, 0.4, 1.2]):
+    xbins = np.arange(-4, 4, dx)
+    ax.hist(xdata, bins=xbins, weights=1/len(xdata) * np.ones(len(xdata)),
+                   histtype='step', label=f'{dx}')
+ax.set_xlabel('x bins [$V$]')
+ax.set_ylabel('Bin count / N')
+ax.legend(fontsize='small', title='bin width:')
+
+# %%
+# The value of normalizing histograms is comparing two distributions that have
+# different sized populations.  Here we compare the distribution of ``xdata``
+# with a population of 1000, and ``xdata2`` with 100 members.
+
+xdata2 = rng.normal(size=100)
+
+fig, ax = plt.subplot_mosaic([['no_norm', 'density', 'weight']],
+                             layout='constrained', figsize=(8, 4))
+
+xbins = np.arange(-4, 4, 0.25)
+
+ax['no_norm'].hist(xdata, bins=xbins, histtype='step')
+ax['no_norm'].hist(xdata2, bins=xbins, histtype='step')
+ax['no_norm'].set_ylabel('Counts')
+ax['no_norm'].set_xlabel('x bins [$V$]')
+ax['no_norm'].set_title('No normalization')
+
+ax['density'].hist(xdata, bins=xbins, histtype='step', density=True)
+ax['density'].hist(xdata2, bins=xbins, histtype='step', density=True)
+ax['density'].set_ylabel('Probability density [$V^{-1}$]')
+ax['density'].set_title('Density=True')
+ax['density'].set_xlabel('x bins [$V$]')
+
+ax['weight'].hist(xdata, bins=xbins, histtype='step',
+                  weights=1 / len(xdata) * np.ones(len(xdata)),
+                  label='N=1000')
+ax['weight'].hist(xdata2, bins=xbins, histtype='step',
+                  weights=1 / len(xdata2) * np.ones(len(xdata2)),
+                  label='N=100')
+ax['weight'].set_xlabel('x bins [$V$]')
+ax['weight'].set_ylabel('Counts / N')
+ax['weight'].legend(fontsize='small')
+ax['weight'].set_title('Weight = 1/N')
+
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: histogram, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.hist` / `matplotlib.pyplot.hist`
+#    - `matplotlib.axes.Axes.set_title`
+#    - `matplotlib.axes.Axes.set_xlabel`
+#    - `matplotlib.axes.Axes.set_ylabel`
+#    - `matplotlib.axes.Axes.legend`
diff --git a/galleries/examples/statistics/multiple_histograms_side_by_side.py b/galleries/examples/statistics/multiple_histograms_side_by_side.py
new file mode 100644
index 000000000000..684faa62a904
--- /dev/null
+++ b/galleries/examples/statistics/multiple_histograms_side_by_side.py
@@ -0,0 +1,78 @@
+"""
+================================
+Multiple histograms side by side
+================================
+
+This example plots horizontal histograms of different samples along
+a categorical x-axis. Additionally, the histograms are plotted to
+be symmetrical about their x-position, thus making them very similar
+to violin plots.
+
+To make this highly specialized plot, we can't use the standard ``hist``
+method. Instead, we use ``barh`` to draw the horizontal bars directly. The
+vertical positions and lengths of the bars are computed via the
+``np.histogram`` function. The histograms for all the samples are
+computed using the same range (min and max values) and number of bins,
+so that the bins for each sample are in the same vertical positions.
+
+Selecting different bin counts and sizes can significantly affect the
+shape of a histogram. The Astropy docs have a great section on how to
+select these parameters:
+http://docs.astropy.org/en/stable/visualization/histogram.html
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+number_of_bins = 20
+
+# An example of three data sets to compare
+number_of_data_points = 387
+labels = ["A", "B", "C"]
+data_sets = [np.random.normal(0, 1, number_of_data_points),
+             np.random.normal(6, 1, number_of_data_points),
+             np.random.normal(-3, 1, number_of_data_points)]
+
+# Computed quantities to aid plotting
+hist_range = (np.min(data_sets), np.max(data_sets))
+binned_data_sets = [
+    np.histogram(d, range=hist_range, bins=number_of_bins)[0]
+    for d in data_sets
+]
+binned_maximums = np.max(binned_data_sets, axis=1)
+x_locations = np.arange(0, sum(binned_maximums), np.max(binned_maximums))
+
+# The bin_edges are the same for all of the histograms
+bin_edges = np.linspace(hist_range[0], hist_range[1], number_of_bins + 1)
+heights = np.diff(bin_edges)
+centers = bin_edges[:-1] + heights / 2
+
+# Cycle through and plot each histogram
+fig, ax = plt.subplots()
+for x_loc, binned_data in zip(x_locations, binned_data_sets):
+    lefts = x_loc - 0.5 * binned_data
+    ax.barh(centers, binned_data, height=heights, left=lefts)
+
+ax.set_xticks(x_locations, labels)
+
+ax.set_ylabel("Data values")
+ax.set_xlabel("Data sets")
+
+plt.show()
+
+# %%
+#
+# .. tags::
+#
+#    domain: statistics
+#    plot-type: barh
+#    plot-type: histogram
+#    styling: position
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.barh` / `matplotlib.pyplot.barh`
diff --git a/galleries/examples/statistics/time_series_histogram.py b/galleries/examples/statistics/time_series_histogram.py
new file mode 100644
index 000000000000..9caacd7f52c9
--- /dev/null
+++ b/galleries/examples/statistics/time_series_histogram.py
@@ -0,0 +1,111 @@
+"""
+=====================
+Time Series Histogram
+=====================
+
+This example demonstrates how to efficiently visualize large numbers of time
+series in a way that could potentially reveal hidden substructure and patterns
+that are not immediately obvious, and display them in a visually appealing way.
+
+In this example, we generate multiple sinusoidal "signal" series that are
+buried under a larger number of random walk "noise/background" series. For an
+unbiased Gaussian random walk with standard deviation of σ, the RMS deviation
+from the origin after n steps is σ*sqrt(n). So in order to keep the sinusoids
+visible on the same scale as the random walks, we scale the amplitude by the
+random walk RMS. In addition, we also introduce a small random offset ``phi``
+to shift the sines left/right, and some additive random noise to shift
+individual data points up/down to make the signal a bit more "realistic" (you
+wouldn't expect a perfect sine wave to appear in your data).
+
+The first plot shows the typical way of visualizing multiple time series by
+overlaying them on top of each other with ``plt.plot`` and a small value of
+``alpha``. The second and third plots show how to reinterpret the data as a 2d
+histogram, with optional interpolation between data points, by using
+``np.histogram2d`` and ``plt.pcolormesh``.
+"""
+
+import time
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, axes = plt.subplots(nrows=3, figsize=(6, 8), layout='constrained')
+
+# Fix random state for reproducibility
+np.random.seed(19680801)
+# Make some data; a 1D random walk + small fraction of sine waves
+num_series = 1000
+num_points = 100
+SNR = 0.10  # Signal to Noise Ratio
+x = np.linspace(0, 4 * np.pi, num_points)
+# Generate unbiased Gaussian random walks
+Y = np.cumsum(np.random.randn(num_series, num_points), axis=-1)
+# Generate sinusoidal signals
+num_signal = round(SNR * num_series)
+phi = (np.pi / 8) * np.random.randn(num_signal, 1)  # small random offset
+Y[-num_signal:] = (
+    np.sqrt(np.arange(num_points))  # random walk RMS scaling factor
+    * (np.sin(x - phi)
+       + 0.05 * np.random.randn(num_signal, num_points))  # small random noise
+)
+
+
+# Plot series using `plot` and a small value of `alpha`. With this view it is
+# very difficult to observe the sinusoidal behavior because of how many
+# overlapping series there are. It also takes a bit of time to run because so
+# many individual artists need to be generated.
+tic = time.time()
+axes[0].plot(x, Y.T, color="C0", alpha=0.1)
+toc = time.time()
+axes[0].set_title("Line plot with alpha")
+print(f"{toc-tic:.3f} sec. elapsed")
+
+
+# Now we will convert the multiple time series into a histogram. Not only will
+# the hidden signal be more visible, but it is also a much quicker procedure.
+tic = time.time()
+# Linearly interpolate between the points in each time series
+num_fine = 800
+x_fine = np.linspace(x.min(), x.max(), num_fine)
+y_fine = np.concatenate([np.interp(x_fine, x, y_row) for y_row in Y])
+x_fine = np.broadcast_to(x_fine, (num_series, num_fine)).ravel()
+
+
+# Plot (x, y) points in 2d histogram with log colorscale
+# It is pretty evident that there is some kind of structure under the noise
+# You can tune vmax to make signal more visible
+cmap = plt.colormaps["plasma"]
+cmap = cmap.with_extremes(bad=cmap(0))
+h, xedges, yedges = np.histogram2d(x_fine, y_fine, bins=[400, 100])
+pcm = axes[1].pcolormesh(xedges, yedges, h.T, cmap=cmap,
+                         norm="log", vmax=1.5e2, rasterized=True)
+fig.colorbar(pcm, ax=axes[1], label="# points", pad=0)
+axes[1].set_title("2d histogram and log color scale")
+
+# Same data but on linear color scale
+pcm = axes[2].pcolormesh(xedges, yedges, h.T, cmap=cmap,
+                         vmax=1.5e2, rasterized=True)
+fig.colorbar(pcm, ax=axes[2], label="# points", pad=0)
+axes[2].set_title("2d histogram and linear color scale")
+
+toc = time.time()
+print(f"{toc-tic:.3f} sec. elapsed")
+plt.show()
+
+# %%
+#
+# .. tags::
+#
+#    plot-type: histogram2d
+#    plot-type: pcolormesh
+#    purpose: storytelling
+#    styling: color
+#    styling: colormap
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolormesh` / `matplotlib.pyplot.pcolormesh`
+#    - `matplotlib.figure.Figure.colorbar`
diff --git a/galleries/examples/statistics/violinplot.py b/galleries/examples/statistics/violinplot.py
new file mode 100644
index 000000000000..7f4725ff7a8c
--- /dev/null
+++ b/galleries/examples/statistics/violinplot.py
@@ -0,0 +1,116 @@
+"""
+==================
+Violin plot basics
+==================
+
+Violin plots are similar to histograms and box plots in that they show
+an abstract representation of the probability distribution of the
+sample. Rather than showing counts of data points that fall into bins
+or order statistics, violin plots use kernel density estimation (KDE) to
+compute an empirical distribution of the sample. That computation
+is controlled by several parameters. This example demonstrates how to
+modify the number of points at which the KDE is evaluated (``points``)
+and how to modify the bandwidth of the KDE (``bw_method``).
+
+For more information on violin plots and KDE, the scikit-learn docs
+have a great section: https://scikit-learn.org/stable/modules/density.html
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+# fake data
+fs = 10  # fontsize
+pos = [1, 2, 4, 5, 7, 8]
+data = [np.random.normal(0, std, size=100) for std in pos]
+
+fig, axs = plt.subplots(nrows=2, ncols=6, figsize=(10, 4))
+
+axs[0, 0].violinplot(data, pos, points=20, widths=0.3,
+                     showmeans=True, showextrema=True, showmedians=True)
+axs[0, 0].set_title('Custom violin 1', fontsize=fs)
+
+axs[0, 1].violinplot(data, pos, points=40, widths=0.5,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     bw_method='silverman')
+axs[0, 1].set_title('Custom violin 2', fontsize=fs)
+
+axs[0, 2].violinplot(data, pos, points=60, widths=0.7, showmeans=True,
+                     showextrema=True, showmedians=True, bw_method=0.5)
+axs[0, 2].set_title('Custom violin 3', fontsize=fs)
+
+axs[0, 3].violinplot(data, pos, points=60, widths=0.7, showmeans=True,
+                     showextrema=True, showmedians=True, bw_method=0.5,
+                     quantiles=[[0.1], [], [], [0.175, 0.954], [0.75], [0.25]])
+axs[0, 3].set_title('Custom violin 4', fontsize=fs)
+
+axs[0, 4].violinplot(data[-1:], pos[-1:], points=60, widths=0.7,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5)
+axs[0, 4].set_title('Custom violin 5', fontsize=fs)
+
+axs[0, 5].violinplot(data[-1:], pos[-1:], points=60, widths=0.7,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5, side='low')
+
+axs[0, 5].violinplot(data[-1:], pos[-1:], points=60, widths=0.7,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5, side='high')
+axs[0, 5].set_title('Custom violin 6', fontsize=fs)
+
+axs[1, 0].violinplot(data, pos, points=80, orientation='horizontal', widths=0.7,
+                     showmeans=True, showextrema=True, showmedians=True)
+axs[1, 0].set_title('Custom violin 7', fontsize=fs)
+
+axs[1, 1].violinplot(data, pos, points=100, orientation='horizontal', widths=0.9,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     bw_method='silverman')
+axs[1, 1].set_title('Custom violin 8', fontsize=fs)
+
+axs[1, 2].violinplot(data, pos, points=200, orientation='horizontal', widths=1.1,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     bw_method=0.5)
+axs[1, 2].set_title('Custom violin 9', fontsize=fs)
+
+axs[1, 3].violinplot(data, pos, points=200, orientation='horizontal', widths=1.1,
+                     showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[[0.1], [], [], [0.175, 0.954], [0.75], [0.25]],
+                     bw_method=0.5)
+axs[1, 3].set_title('Custom violin 10', fontsize=fs)
+
+axs[1, 4].violinplot(data[-1:], pos[-1:], points=200, orientation='horizontal',
+                     widths=1.1, showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5)
+axs[1, 4].set_title('Custom violin 11', fontsize=fs)
+
+axs[1, 5].violinplot(data[-1:], pos[-1:], points=200, orientation='horizontal',
+                     widths=1.1, showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5, side='low')
+
+axs[1, 5].violinplot(data[-1:], pos[-1:], points=200, orientation='horizontal',
+                     widths=1.1, showmeans=True, showextrema=True, showmedians=True,
+                     quantiles=[0.05, 0.1, 0.8, 0.9], bw_method=0.5, side='high')
+axs[1, 5].set_title('Custom violin 12', fontsize=fs)
+
+
+for ax in axs.flat:
+    ax.set_yticklabels([])
+
+fig.suptitle("Violin Plotting Examples")
+fig.subplots_adjust(hspace=0.4)
+plt.show()
+
+# %%
+#
+# .. tags:: plot-type: violin, domain: statistics
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.violinplot` / `matplotlib.pyplot.violinplot`
diff --git a/galleries/examples/style_sheets/README.txt b/galleries/examples/style_sheets/README.txt
new file mode 100644
index 000000000000..671ff3bf3067
--- /dev/null
+++ b/galleries/examples/style_sheets/README.txt
@@ -0,0 +1,4 @@
+.. _style_sheet_examples:
+
+Style sheets
+============
diff --git a/galleries/examples/style_sheets/bmh.py b/galleries/examples/style_sheets/bmh.py
new file mode 100644
index 000000000000..941a21a3030f
--- /dev/null
+++ b/galleries/examples/style_sheets/bmh.py
@@ -0,0 +1,33 @@
+"""
+========================================
+Bayesian Methods for Hackers style sheet
+========================================
+
+This example demonstrates the style used in the Bayesian Methods for Hackers
+[1]_ online book.
+
+.. [1] http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+plt.style.use('bmh')
+
+
+def plot_beta_hist(ax, a, b):
+    ax.hist(np.random.beta(a, b, size=10000),
+            histtype="stepfilled", bins=25, alpha=0.8, density=True)
+
+
+fig, ax = plt.subplots()
+plot_beta_hist(ax, 10, 10)
+plot_beta_hist(ax, 4, 12)
+plot_beta_hist(ax, 50, 12)
+plot_beta_hist(ax, 6, 55)
+ax.set_title("'bmh' style sheet")
+
+plt.show()
diff --git a/galleries/examples/style_sheets/dark_background.py b/galleries/examples/style_sheets/dark_background.py
new file mode 100644
index 000000000000..e142521c6460
--- /dev/null
+++ b/galleries/examples/style_sheets/dark_background.py
@@ -0,0 +1,28 @@
+"""
+===========================
+Dark background style sheet
+===========================
+
+This example demonstrates the "dark_background" style, which uses white for
+elements that are typically black (text, borders, etc). Note that not all plot
+elements default to colors defined by an rc parameter.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('dark_background')
+
+fig, ax = plt.subplots()
+
+L = 6
+x = np.linspace(0, L)
+ncolors = len(plt.rcParams['axes.prop_cycle'])
+shift = np.linspace(0, L, ncolors, endpoint=False)
+for s in shift:
+    ax.plot(x, np.sin(x + s), 'o-')
+ax.set_xlabel('x-axis')
+ax.set_ylabel('y-axis')
+ax.set_title("'dark_background' style sheet")
+
+plt.show()
diff --git a/galleries/examples/style_sheets/fivethirtyeight.py b/galleries/examples/style_sheets/fivethirtyeight.py
new file mode 100644
index 000000000000..45dd851e81d6
--- /dev/null
+++ b/galleries/examples/style_sheets/fivethirtyeight.py
@@ -0,0 +1,30 @@
+"""
+===========================
+FiveThirtyEight style sheet
+===========================
+
+This shows an example of the "fivethirtyeight" styling, which
+tries to replicate the styles from FiveThirtyEight.com.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('fivethirtyeight')
+
+x = np.linspace(0, 10)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+
+ax.plot(x, np.sin(x) + x + np.random.randn(50))
+ax.plot(x, np.sin(x) + 0.5 * x + np.random.randn(50))
+ax.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
+ax.plot(x, np.sin(x) - 0.5 * x + np.random.randn(50))
+ax.plot(x, np.sin(x) - 2 * x + np.random.randn(50))
+ax.plot(x, np.sin(x) + np.random.randn(50))
+ax.set_title("'fivethirtyeight' style sheet")
+
+plt.show()
diff --git a/galleries/examples/style_sheets/ggplot.py b/galleries/examples/style_sheets/ggplot.py
new file mode 100644
index 000000000000..51a103f5f970
--- /dev/null
+++ b/galleries/examples/style_sheets/ggplot.py
@@ -0,0 +1,57 @@
+"""
+==================
+ggplot style sheet
+==================
+
+This example demonstrates the "ggplot" style, which adjusts the style to
+emulate ggplot_ (a popular plotting package for R_).
+
+These settings were shamelessly stolen from [1]_ (with permission).
+
+.. [1] https://everyhue.me/posts/sane-color-scheme-for-matplotlib/
+
+.. _ggplot: https://ggplot2.tidyverse.org/
+.. _R: https://www.r-project.org/
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('ggplot')
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, axs = plt.subplots(ncols=2, nrows=2)
+ax1, ax2, ax3, ax4 = axs.flat
+
+# scatter plot (Note: `plt.scatter` doesn't use default colors)
+x, y = np.random.normal(size=(2, 200))
+ax1.plot(x, y, 'o')
+
+# sinusoidal lines with colors from default color cycle
+L = 2*np.pi
+x = np.linspace(0, L)
+ncolors = len(plt.rcParams['axes.prop_cycle'])
+shift = np.linspace(0, L, ncolors, endpoint=False)
+for s in shift:
+    ax2.plot(x, np.sin(x + s), '-')
+ax2.margins(0)
+
+# bar graphs
+x = np.arange(5)
+y1, y2 = np.random.randint(1, 25, size=(2, 5))
+width = 0.25
+ax3.bar(x, y1, width)
+ax3.bar(x + width, y2, width,
+        color=list(plt.rcParams['axes.prop_cycle'])[2]['color'])
+ax3.set_xticks(x + width, labels=['a', 'b', 'c', 'd', 'e'])
+
+# circles with colors from default color cycle
+for i, color in enumerate(plt.rcParams['axes.prop_cycle']):
+    xy = np.random.normal(size=2)
+    ax4.add_patch(plt.Circle(xy, radius=0.3, color=color['color']))
+ax4.axis('equal')
+ax4.margins(0)
+
+plt.show()
diff --git a/galleries/examples/style_sheets/grayscale.py b/galleries/examples/style_sheets/grayscale.py
new file mode 100644
index 000000000000..e2c3788e94b3
--- /dev/null
+++ b/galleries/examples/style_sheets/grayscale.py
@@ -0,0 +1,41 @@
+"""
+=====================
+Grayscale style sheet
+=====================
+
+This example demonstrates the "grayscale" style sheet, which changes all colors
+that are defined as `.rcParams` to grayscale. Note, however, that not all
+plot elements respect `.rcParams`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def color_cycle_example(ax):
+    L = 6
+    x = np.linspace(0, L)
+    ncolors = len(plt.rcParams['axes.prop_cycle'])
+    shift = np.linspace(0, L, ncolors, endpoint=False)
+    for s in shift:
+        ax.plot(x, np.sin(x + s), 'o-')
+
+
+def image_and_patch_example(ax):
+    ax.imshow(np.random.random(size=(20, 20)), interpolation='none')
+    c = plt.Circle((5, 5), radius=5, label='patch')
+    ax.add_patch(c)
+
+
+plt.style.use('grayscale')
+
+fig, (ax1, ax2) = plt.subplots(ncols=2)
+fig.suptitle("'grayscale' style sheet")
+
+color_cycle_example(ax1)
+image_and_patch_example(ax2)
+
+plt.show()
diff --git a/galleries/examples/style_sheets/petroff10.py b/galleries/examples/style_sheets/petroff10.py
new file mode 100644
index 000000000000..5683a4df296c
--- /dev/null
+++ b/galleries/examples/style_sheets/petroff10.py
@@ -0,0 +1,49 @@
+"""
+====================
+Petroff style sheets
+====================
+
+This example demonstrates the "petroffN" styles, which implement the 6-, 8- and
+10-color sequences developed by Matthew A. Petroff [1]_ for accessible data
+visualization.  The styles balance aesthetics with accessibility considerations,
+making them suitable for various types of plots while ensuring readability and
+distinction between data series.
+
+.. [1] https://arxiv.org/abs/2107.02270
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def colored_lines_example(ax):
+    t = np.linspace(-10, 10, 100)
+    nb_colors = len(plt.rcParams['axes.prop_cycle'])
+    shifts = np.linspace(-5, 5, nb_colors)
+    amplitudes = np.linspace(1, 1.5, nb_colors)
+    for t0, a in zip(shifts, amplitudes):
+        y = a / (1 + np.exp(-(t - t0)))
+        line, = ax.plot(t, y, '-')
+        point_indices = np.linspace(0, len(t) - 1, 20, dtype=int)
+        ax.plot(t[point_indices], y[point_indices], 'o', color=line.get_color())
+    ax.set_xlim(-10, 10)
+
+
+def image_and_patch_example(ax):
+    ax.imshow(np.random.random(size=(20, 20)), interpolation='none')
+    c = plt.Circle((5, 5), radius=5, label='patch')
+    ax.add_patch(c)
+
+
+fig = plt.figure(figsize=(6.4, 9.6), layout='compressed')
+sfigs = fig.subfigures(nrows=3)
+
+for style, sfig in zip(['petroff6', 'petroff8', 'petroff10'], sfigs):
+    sfig.suptitle(f"'{style}' style sheet")
+    with plt.style.context(style):
+        ax1, ax2 = sfig.subplots(ncols=2)
+        colored_lines_example(ax1)
+        image_and_patch_example(ax2)
+
+plt.show()
diff --git a/galleries/examples/style_sheets/plot_solarizedlight2.py b/galleries/examples/style_sheets/plot_solarizedlight2.py
new file mode 100644
index 000000000000..a6434f5ef04a
--- /dev/null
+++ b/galleries/examples/style_sheets/plot_solarizedlight2.py
@@ -0,0 +1,45 @@
+"""
+==========================
+Solarized Light stylesheet
+==========================
+
+This shows an example of "Solarized_Light" styling, which
+tries to replicate the styles of:
+
+- https://ethanschoonover.com/solarized/
+- https://github.com/jrnold/ggthemes
+- http://www.pygal.org/en/stable/documentation/builtin_styles.html#light-solarized
+
+and work of:
+
+- https://github.com/tonysyu/mpltools
+
+using all 8 accents of the color palette - starting with blue
+
+Still TODO:
+
+- Create alpha values for bar and stacked charts. .33 or .5
+- Apply Layout Rules
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+x = np.linspace(0, 10)
+with plt.style.context('Solarize_Light2'):
+    plt.plot(x, np.sin(x) + x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 3 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 4 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 5 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 6 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 7 * x + np.random.randn(50))
+    plt.plot(x, np.sin(x) + 8 * x + np.random.randn(50))
+    # Number of accent colors in the color scheme
+    plt.title('8 Random Lines - Line')
+    plt.xlabel('x label', fontsize=14)
+    plt.ylabel('y label', fontsize=14)
+
+plt.show()
diff --git a/galleries/examples/style_sheets/style_sheets_reference.py b/galleries/examples/style_sheets/style_sheets_reference.py
new file mode 100644
index 000000000000..43b9c4f941ee
--- /dev/null
+++ b/galleries/examples/style_sheets/style_sheets_reference.py
@@ -0,0 +1,174 @@
+"""
+======================
+Style sheets reference
+======================
+
+This script demonstrates the different available style sheets on a
+common set of example plots: scatter plot, image, bar graph, patches,
+line plot and histogram.
+
+Any of these style sheets can be imported (i.e. activated) by its name.
+For example for the ggplot style:
+
+>>> plt.style.use('ggplot')
+
+The names of the available style sheets can be found
+in the list `matplotlib.style.available`
+(they are also printed in the corner of each plot below).
+
+See more details in :ref:`Customizing Matplotlib
+using style sheets<customizing-with-style-sheets>`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as mcolors
+from matplotlib.patches import Rectangle
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+def plot_scatter(ax, prng, nb_samples=100):
+    """Scatter plot."""
+    for mu, sigma, marker in [(-.5, 0.75, 'o'), (0.75, 1., 's')]:
+        x, y = prng.normal(loc=mu, scale=sigma, size=(2, nb_samples))
+        ax.plot(x, y, ls='none', marker=marker)
+    ax.set_xlabel('X-label')
+    ax.set_title('Axes title')
+    return ax
+
+
+def plot_colored_lines(ax):
+    """Plot lines with colors following the style color cycle."""
+    t = np.linspace(-10, 10, 100)
+
+    def sigmoid(t, t0):
+        return 1 / (1 + np.exp(-(t - t0)))
+
+    nb_colors = len(plt.rcParams['axes.prop_cycle'])
+    shifts = np.linspace(-5, 5, nb_colors)
+    amplitudes = np.linspace(1, 1.5, nb_colors)
+    for t0, a in zip(shifts, amplitudes):
+        ax.plot(t, a * sigmoid(t, t0), '-')
+    ax.set_xlim(-10, 10)
+    return ax
+
+
+def plot_bar_graphs(ax, prng, min_value=5, max_value=25, nb_samples=5):
+    """Plot two bar graphs side by side, with letters as x-tick labels."""
+    x = np.arange(nb_samples)
+    ya, yb = prng.randint(min_value, max_value, size=(2, nb_samples))
+    width = 0.25
+    ax.bar(x, ya, width)
+    ax.bar(x + width, yb, width, color='C2')
+    ax.set_xticks(x + width, labels=['a', 'b', 'c', 'd', 'e'])
+    return ax
+
+
+def plot_colored_circles(ax, prng, nb_samples=15):
+    """
+    Plot circle patches.
+
+    NB: draws a fixed amount of samples, rather than using the length of
+    the color cycle, because different styles may have different numbers
+    of colors.
+    """
+    for sty_dict, j in zip(plt.rcParams['axes.prop_cycle'](),
+                           range(nb_samples)):
+        ax.add_patch(plt.Circle(prng.normal(scale=3, size=2),
+                                radius=1.0, color=sty_dict['color']))
+    ax.grid(visible=True)
+
+    # Add title for enabling grid
+    plt.title('ax.grid(True)', family='monospace', fontsize='small')
+
+    ax.set_xlim([-4, 8])
+    ax.set_ylim([-5, 6])
+    ax.set_aspect('equal', adjustable='box')  # to plot circles as circles
+    return ax
+
+
+def plot_image_and_patch(ax, prng, size=(20, 20)):
+    """Plot an image with random values and superimpose a circular patch."""
+    values = prng.random_sample(size=size)
+    ax.imshow(values, interpolation='none')
+    c = plt.Circle((5, 5), radius=5, label='patch')
+    ax.add_patch(c)
+    # Remove ticks
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+def plot_histograms(ax, prng, nb_samples=10000):
+    """Plot 4 histograms and a text annotation."""
+    params = ((10, 10), (4, 12), (50, 12), (6, 55))
+    for a, b in params:
+        values = prng.beta(a, b, size=nb_samples)
+        ax.hist(values, histtype="stepfilled", bins=30,
+                alpha=0.8, density=True)
+
+    # Add a small annotation.
+    ax.annotate('Annotation', xy=(0.25, 4.25),
+                xytext=(0.9, 0.9), textcoords=ax.transAxes,
+                va="top", ha="right",
+                bbox=dict(boxstyle="round", alpha=0.2),
+                arrowprops=dict(
+                          arrowstyle="->",
+                          connectionstyle="angle,angleA=-95,angleB=35,rad=10"),
+                )
+    return ax
+
+
+def plot_figure(style_label=""):
+    """Setup and plot the demonstration figure with a given style."""
+    # Use a dedicated RandomState instance to draw the same "random" values
+    # across the different figures.
+    prng = np.random.RandomState(96917002)
+
+    fig, axs = plt.subplots(ncols=6, nrows=1, num=style_label,
+                            figsize=(14.8, 2.8), layout='constrained')
+
+    # make a suptitle, in the same style for all subfigures,
+    # except those with dark backgrounds, which get a lighter color:
+    background_color = mcolors.rgb_to_hsv(
+        mcolors.to_rgb(plt.rcParams['figure.facecolor']))[2]
+    if background_color < 0.5:
+        title_color = [0.8, 0.8, 1]
+    else:
+        title_color = np.array([19, 6, 84]) / 256
+    fig.suptitle(style_label, x=0.01, ha='left', color=title_color,
+                 fontsize=14, fontfamily='DejaVu Sans', fontweight='normal')
+
+    plot_scatter(axs[0], prng)
+    plot_image_and_patch(axs[1], prng)
+    plot_bar_graphs(axs[2], prng)
+    plot_colored_lines(axs[3])
+    plot_histograms(axs[4], prng)
+    plot_colored_circles(axs[5], prng)
+
+    # add divider
+    rec = Rectangle((1 + 0.025, -2), 0.05, 16,
+                    clip_on=False, color='gray')
+
+    axs[4].add_artist(rec)
+
+if __name__ == "__main__":
+
+    # Set up a list of all available styles, in alphabetical order but
+    # the `default` and `classic` ones, which will be forced resp. in
+    # first and second position.
+    # styles with leading underscores are for internal use such as testing
+    # and plot types gallery. These are excluded here.
+    style_list = ['default', 'classic'] + sorted(
+        style for style in plt.style.available
+        if style != 'classic' and not style.startswith('_'))
+
+    # Plot a demonstration figure for every available style sheet.
+    for style_label in style_list:
+        with plt.rc_context({"figure.max_open_warning": len(style_list)}):
+            with plt.style.context(style_label):
+                plot_figure(style_label=style_label)
+
+    plt.show()
diff --git a/galleries/examples/subplots_axes_and_figures/README.txt b/galleries/examples/subplots_axes_and_figures/README.txt
new file mode 100644
index 000000000000..4ed26f5ef72f
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/README.txt
@@ -0,0 +1,4 @@
+.. _subplots_axes_and_figures_examples:
+
+Subplots, axes and figures
+==========================
diff --git a/galleries/examples/subplots_axes_and_figures/align_labels_demo.py b/galleries/examples/subplots_axes_and_figures/align_labels_demo.py
new file mode 100644
index 000000000000..f4a0cec18933
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/align_labels_demo.py
@@ -0,0 +1,76 @@
+"""
+=======================
+Align labels and titles
+=======================
+
+Aligning xlabel, ylabel, and title using `.Figure.align_xlabels`,
+`.Figure.align_ylabels`, and `.Figure.align_titles`.
+
+`.Figure.align_labels` wraps the x and y label functions.
+
+We align the xlabels and ylabels using short calls to `.Figure.align_xlabels`
+and `.Figure.align_ylabels`. We also show a manual way to align the ylabels
+using the `~.Axis.set_label_coords` method of the yaxis object. Note this requires
+knowing a good offset value which is hardcoded.
+
+.. redirect-from:: /gallery/pyplots/align_ylabels
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, axs = plt.subplots(2, 3, figsize=(8.9, 5.5),
+                        layout='constrained', gridspec_kw={'wspace': 0.1})
+
+# add sample data and labels
+for ax in axs.flat:
+    scale = 2000 if ax.get_subplotspec().is_first_row() else 1
+    ax.plot(scale * (1 - np.exp(-np.linspace(0, 5, 100))))
+    if ax.get_subplotspec().is_last_row():
+        ax.set_xlabel('xlabel', bbox=dict(facecolor='yellow', pad=5, alpha=0.2))
+    ax.set_ylabel('ylabel', bbox=dict(facecolor='yellow', pad=5, alpha=0.2))
+    ax.set_ylim(0, scale)
+
+# Modify ticks to get different margins in some plots
+axs[0, 0].xaxis.tick_top()
+axs[1, 2].tick_params(axis='x', rotation=55)
+axs[0, 0].set_title('ylabels not aligned')
+
+# Align labels
+fig.align_titles()            # Align titles
+fig.align_xlabels()           # Align all x-axis labels
+fig.align_ylabels(axs[:, 1])  # Align only the second column's y-labels
+axs[0, 1].set_title('fig.align_ylabels()')
+
+# Manually adjust y-labels for the third column
+for ax in axs[:, 2]:
+    ax.yaxis.set_label_coords(-0.3, 0.5)
+axs[0, 2].set_title('ylabels manually aligned')
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.align_xlabels`
+#    - `matplotlib.figure.Figure.align_ylabels`
+#    - `matplotlib.figure.Figure.align_labels`
+#    - `matplotlib.figure.Figure.align_titles`
+#    - `matplotlib.axis.Axis.set_label_coords`
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.axes.Axes.set_title`
+#    - `matplotlib.axes.Axes.set_ylabel`
+#    - `matplotlib.axes.Axes.set_ylim`
+
+# %%
+# .. tags::
+#
+#    component: label
+#    component: title
+#    styling: position
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/auto_subplots_adjust.py b/galleries/examples/subplots_axes_and_figures/auto_subplots_adjust.py
new file mode 100644
index 000000000000..ec865798d648
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/auto_subplots_adjust.py
@@ -0,0 +1,94 @@
+"""
+===========================================
+Programmatically control subplot adjustment
+===========================================
+
+.. note::
+
+    This example is primarily intended to show some advanced concepts in
+    Matplotlib.
+
+    If you are only looking for having enough space for your labels, it is
+    almost always simpler and good enough to either set the subplot parameters
+    manually using `.Figure.subplots_adjust`, or use one of the automatic
+    layout mechanisms
+    (:ref:`constrainedlayout_guide` or
+    :ref:`tight_layout_guide`).
+
+This example describes a user-defined way to read out Artist sizes and
+set the subplot parameters accordingly. Its main purpose is to illustrate
+some advanced concepts like reading out text positions, working with
+bounding boxes and transforms and using
+:ref:`events <event-handling>`. But it can also serve as a starting
+point if you want to automate the layouting and need more flexibility than
+tight layout and constrained layout.
+
+Below, we collect the bounding boxes of all y-labels and move the left border
+of the subplot to the right so that it leaves enough room for the union of all
+the bounding boxes.
+
+There's one catch with calculating text bounding boxes:
+Querying the text bounding boxes (`.Text.get_window_extent`) needs a
+renderer (`.RendererBase` instance), to calculate the text size. This renderer
+is only available after the figure has been drawn (`.Figure.draw`).
+
+A solution to this is putting the adjustment logic in a draw callback.
+This function is executed after the figure has been drawn. It can now check
+if the subplot leaves enough room for the text. If not, the subplot parameters
+are updated and second draw is triggered.
+
+.. redirect-from:: /gallery/pyplots/auto_subplots_adjust
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.transforms as mtransforms
+
+fig, ax = plt.subplots()
+ax.plot(range(10))
+ax.set_yticks([2, 5, 7], labels=['really, really, really', 'long', 'labels'])
+
+
+def on_draw(event):
+    bboxes = []
+    for label in ax.get_yticklabels():
+        # Bounding box in pixels
+        bbox_px = label.get_window_extent()
+        # Transform to relative figure coordinates. This is the inverse of
+        # transFigure.
+        bbox_fig = bbox_px.transformed(fig.transFigure.inverted())
+        bboxes.append(bbox_fig)
+    # the bbox that bounds all the bboxes, again in relative figure coords
+    bbox = mtransforms.Bbox.union(bboxes)
+    if fig.subplotpars.left < bbox.width:
+        # Move the subplot left edge more to the right
+        fig.subplots_adjust(left=1.1*bbox.width)  # pad a little
+        fig.canvas.draw()
+
+
+fig.canvas.mpl_connect('draw_event', on_draw)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.artist.Artist.get_window_extent`
+#    - `matplotlib.transforms.Bbox`
+#    - `matplotlib.transforms.BboxBase.transformed`
+#    - `matplotlib.transforms.BboxBase.union`
+#    - `matplotlib.transforms.Transform.inverted`
+#    - `matplotlib.figure.Figure.subplots_adjust`
+#    - `matplotlib.gridspec.SubplotParams`
+#    - `matplotlib.backend_bases.FigureCanvasBase.mpl_connect`
+#
+# .. tags::
+#
+#    component: subplot
+#    plot-type: line
+#    styling: position
+#    level: advanced
diff --git a/galleries/examples/subplots_axes_and_figures/axes_box_aspect.py b/galleries/examples/subplots_axes_and_figures/axes_box_aspect.py
new file mode 100644
index 000000000000..6bd6723b27d6
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axes_box_aspect.py
@@ -0,0 +1,162 @@
+"""
+===============
+Axes box aspect
+===============
+
+This demo shows how to set the aspect of an Axes box directly via
+`~.Axes.set_box_aspect`. The box aspect is the ratio between Axes height
+and Axes width in physical units, independent of the data limits.
+This is useful to e.g. produce a square plot, independent of the data it
+contains, or to have a usual plot with the same axes dimensions next to
+an image plot with fixed (data-)aspect.
+
+The following lists a few use cases for `~.Axes.set_box_aspect`.
+"""
+
+# %%
+# A square Axes, independent of data
+# ----------------------------------
+#
+# Produce a square Axes, no matter what the data limits are.
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig1, ax = plt.subplots()
+
+ax.set_xlim(300, 400)
+ax.set_box_aspect(1)
+
+plt.show()
+
+# %%
+# Shared square Axes
+# ------------------
+#
+# Produce shared subplots that are squared in size.
+#
+fig2, (ax, ax2) = plt.subplots(ncols=2, sharey=True)
+
+ax.plot([1, 5], [0, 10])
+ax2.plot([100, 500], [10, 15])
+
+ax.set_box_aspect(1)
+ax2.set_box_aspect(1)
+
+plt.show()
+
+# %%
+# Square twin Axes
+# ----------------
+#
+# Produce a square Axes, with a twin Axes. The twinned Axes takes over the
+# box aspect of the parent.
+#
+
+fig3, ax = plt.subplots()
+
+ax2 = ax.twinx()
+
+ax.plot([0, 10])
+ax2.plot([12, 10])
+
+ax.set_box_aspect(1)
+
+plt.show()
+
+
+# %%
+# Normal plot next to image
+# -------------------------
+#
+# When creating an image plot with fixed data aspect and the default
+# ``adjustable="box"`` next to a normal plot, the Axes would be unequal in
+# height. `~.Axes.set_box_aspect` provides an easy solution to that by allowing
+# to have the normal plot's Axes use the images dimensions as box aspect.
+#
+# This example also shows that *constrained layout* interplays nicely with
+# a fixed box aspect.
+
+fig4, (ax, ax2) = plt.subplots(ncols=2, layout="constrained")
+
+np.random.seed(19680801)  # Fixing random state for reproducibility
+im = np.random.rand(16, 27)
+ax.imshow(im)
+
+ax2.plot([23, 45])
+ax2.set_box_aspect(im.shape[0]/im.shape[1])
+
+plt.show()
+
+# %%
+# Square joint/marginal plot
+# --------------------------
+#
+# It may be desirable to show marginal distributions next to a plot of joint
+# data. The following creates a square plot with the box aspect of the
+# marginal Axes being equal to the width- and height-ratios of the gridspec.
+# This ensures that all Axes align perfectly, independent on the size of the
+# figure.
+
+fig5, axs = plt.subplots(2, 2, sharex="col", sharey="row",
+                         gridspec_kw=dict(height_ratios=[1, 3],
+                                          width_ratios=[3, 1]))
+axs[0, 1].set_visible(False)
+axs[0, 0].set_box_aspect(1/3)
+axs[1, 0].set_box_aspect(1)
+axs[1, 1].set_box_aspect(3/1)
+
+np.random.seed(19680801)  # Fixing random state for reproducibility
+x, y = np.random.randn(2, 400) * [[.5], [180]]
+axs[1, 0].scatter(x, y)
+axs[0, 0].hist(x)
+axs[1, 1].hist(y, orientation="horizontal")
+
+plt.show()
+
+# %%
+# Set data aspect with box aspect
+# -------------------------------
+#
+# When setting the box aspect, one may still set the data aspect as well.
+# Here we create an Axes with a box twice as long as it is tall and use
+# an "equal" data aspect for its contents, i.e. the circle actually
+# stays circular.
+
+fig6, ax = plt.subplots()
+
+ax.add_patch(plt.Circle((5, 3), 1))
+ax.set_aspect("equal", adjustable="datalim")
+ax.set_box_aspect(0.5)
+ax.autoscale()
+
+plt.show()
+
+# %%
+# Box aspect for many subplots
+# ----------------------------
+#
+# It is possible to pass the box aspect to an Axes at initialization. The
+# following creates a 2 by 3 subplot grid with all square Axes.
+
+fig7, axs = plt.subplots(2, 3, subplot_kw=dict(box_aspect=1),
+                         sharex=True, sharey=True, layout="constrained")
+
+for i, ax in enumerate(axs.flat):
+    ax.scatter(i % 3, -((i // 3) - 0.5)*200, c=[plt.colormaps["hsv"](i / 6)], s=300)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.set_box_aspect`
+#
+# .. tags::
+#
+#    component: axes
+#    styling: size
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axes_demo.py b/galleries/examples/subplots_axes_and_figures/axes_demo.py
new file mode 100644
index 000000000000..07f3ca2070c2
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axes_demo.py
@@ -0,0 +1,53 @@
+"""
+=========
+Axes Demo
+=========
+
+Example use of ``fig.add_axes`` to create inset Axes within the main plot Axes.
+
+Please see also the :ref:`axes_grid_examples` section, and the following three
+examples:
+
+- :doc:`/gallery/subplots_axes_and_figures/zoom_inset_axes`
+- :doc:`/gallery/axes_grid1/inset_locator_demo`
+- :doc:`/gallery/axes_grid1/inset_locator_demo2`
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)  # Fixing random state for reproducibility.
+
+# create some data to use for the plot
+dt = 0.001
+t = np.arange(0.0, 10.0, dt)
+r = np.exp(-t[:1000] / 0.05)  # impulse response
+x = np.random.randn(len(t))
+s = np.convolve(x, r)[:len(x)] * dt  # colored noise
+
+fig, main_ax = plt.subplots()
+main_ax.plot(t, s)
+main_ax.set_xlim(0, 1)
+main_ax.set_ylim(1.1 * np.min(s), 2 * np.max(s))
+main_ax.set_xlabel('time (s)')
+main_ax.set_ylabel('current (nA)')
+main_ax.set_title('Gaussian colored noise')
+
+# this is an inset Axes over the main Axes
+right_inset_ax = fig.add_axes([.65, .6, .2, .2], facecolor='k')
+right_inset_ax.hist(s, 400, density=True)
+right_inset_ax.set(title='Probability', xticks=[], yticks=[])
+
+# this is another inset Axes over the main Axes
+left_inset_ax = fig.add_axes([.2, .6, .2, .2], facecolor='k')
+left_inset_ax.plot(t[:len(r)], r)
+left_inset_ax.set(title='Impulse response', xlim=(0, .2), xticks=[], yticks=[])
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axes
+#    plot-type: line
+#    plot-type: histogram
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axes_margins.py b/galleries/examples/subplots_axes_and_figures/axes_margins.py
new file mode 100644
index 000000000000..30298168c8e8
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axes_margins.py
@@ -0,0 +1,96 @@
+"""
+======================================================
+Controlling view limits using margins and sticky_edges
+======================================================
+
+The first figure in this example shows how to zoom in and out of a
+plot using `~.Axes.margins` instead of `~.Axes.set_xlim` and
+`~.Axes.set_ylim`. The second figure demonstrates the concept of
+edge "stickiness" introduced by certain methods and artists and how
+to effectively work around that.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Polygon
+
+
+def f(t):
+    return np.exp(-t) * np.cos(2*np.pi*t)
+
+
+t1 = np.arange(0.0, 3.0, 0.01)
+
+ax1 = plt.subplot(212)
+ax1.margins(0.05)           # Default margin is 0.05, value 0 means fit
+ax1.plot(t1, f(t1))
+
+ax2 = plt.subplot(221)
+ax2.margins(2, 2)           # Values >0.0 zoom out
+ax2.plot(t1, f(t1))
+ax2.set_title('Zoomed out')
+
+ax3 = plt.subplot(222)
+ax3.margins(x=0, y=-0.25)   # Values in (-0.5, 0.0) zooms in to center
+ax3.plot(t1, f(t1))
+ax3.set_title('Zoomed in')
+
+plt.show()
+
+
+# %%
+#
+# On the "stickiness" of certain plotting methods
+# """""""""""""""""""""""""""""""""""""""""""""""
+#
+# Some plotting functions make the axis limits "sticky" or immune to the will
+# of the `~.Axes.margins` methods. For instance, `~.Axes.imshow` and
+# `~.Axes.pcolor` expect the user to want the limits to be tight around the
+# pixels shown in the plot. If this behavior is not desired, you need to set
+# `~.Axes.use_sticky_edges` to `False`. Consider the following example:
+
+y, x = np.mgrid[:5, 1:6]
+poly_coords = [
+    (0.25, 2.75), (3.25, 2.75),
+    (2.25, 0.75), (0.25, 0.75)
+]
+fig, (ax1, ax2) = plt.subplots(ncols=2)
+
+# Here we set the stickiness of the Axes object...
+# ax1 we'll leave as the default, which uses sticky edges
+# and we'll turn off stickiness for ax2
+ax2.use_sticky_edges = False
+
+for ax, status in zip((ax1, ax2), ('Is', 'Is Not')):
+    cells = ax.pcolor(x, y, x+y, cmap='inferno', shading='auto')  # sticky
+    ax.add_patch(
+        Polygon(poly_coords, color='forestgreen', alpha=0.5)
+    )  # not sticky
+    ax.margins(x=0.1, y=0.05)
+    ax.set_aspect('equal')
+    ax.set_title(f'{status} Sticky')
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.margins` / `matplotlib.pyplot.margins`
+#    - `matplotlib.axes.Axes.use_sticky_edges`
+#    - `matplotlib.axes.Axes.pcolor` / `matplotlib.pyplot.pcolor`
+#    - `matplotlib.patches.Polygon`
+#
+# .. tags::
+#
+#    component: axes
+#    plot-type: line
+#    plot-type: imshow
+#    plot-type: pcolor
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axes_props.py b/galleries/examples/subplots_axes_and_figures/axes_props.py
new file mode 100644
index 000000000000..6bbcc88ad5b8
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axes_props.py
@@ -0,0 +1,28 @@
+"""
+===============
+Axes properties
+===============
+
+You can control the axis tick and grid properties
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2.0, 0.01)
+s = np.sin(2 * np.pi * t)
+
+fig, ax = plt.subplots()
+ax.plot(t, s)
+
+ax.grid(True, linestyle='-.')
+ax.tick_params(labelcolor='r', labelsize='medium', width=3)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: ticks
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axes_zoom_effect.py b/galleries/examples/subplots_axes_and_figures/axes_zoom_effect.py
new file mode 100644
index 000000000000..c8d09de45888
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axes_zoom_effect.py
@@ -0,0 +1,129 @@
+"""
+================
+Axes zoom effect
+================
+
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.transforms import (Bbox, TransformedBbox,
+                                   blended_transform_factory)
+from mpl_toolkits.axes_grid1.inset_locator import (BboxConnector,
+                                                   BboxConnectorPatch,
+                                                   BboxPatch)
+
+
+def connect_bbox(bbox1, bbox2,
+                 loc1a, loc2a, loc1b, loc2b,
+                 prop_lines, prop_patches=None):
+    if prop_patches is None:
+        prop_patches = {
+            **prop_lines,
+            "alpha": prop_lines.get("alpha", 1) * 0.2,
+            "clip_on": False,
+        }
+
+    c1 = BboxConnector(
+        bbox1, bbox2, loc1=loc1a, loc2=loc2a, clip_on=False, **prop_lines)
+    c2 = BboxConnector(
+        bbox1, bbox2, loc1=loc1b, loc2=loc2b, clip_on=False, **prop_lines)
+
+    bbox_patch1 = BboxPatch(bbox1, **prop_patches)
+    bbox_patch2 = BboxPatch(bbox2, **prop_patches)
+
+    p = BboxConnectorPatch(bbox1, bbox2,
+                           loc1a=loc1a, loc2a=loc2a, loc1b=loc1b, loc2b=loc2b,
+                           clip_on=False,
+                           **prop_patches)
+
+    return c1, c2, bbox_patch1, bbox_patch2, p
+
+
+def zoom_effect01(ax1, ax2, xmin, xmax, **kwargs):
+    """
+    Connect *ax1* and *ax2*. The *xmin*-to-*xmax* range in both Axes will
+    be marked.
+
+    Parameters
+    ----------
+    ax1
+        The main Axes.
+    ax2
+        The zoomed Axes.
+    xmin, xmax
+        The limits of the colored area in both plot Axes.
+    **kwargs
+        Arguments passed to the patch constructor.
+    """
+
+    bbox = Bbox.from_extents(xmin, 0, xmax, 1)
+
+    mybbox1 = TransformedBbox(bbox, ax1.get_xaxis_transform())
+    mybbox2 = TransformedBbox(bbox, ax2.get_xaxis_transform())
+
+    prop_patches = {**kwargs, "ec": "none", "alpha": 0.2}
+
+    c1, c2, bbox_patch1, bbox_patch2, p = connect_bbox(
+        mybbox1, mybbox2,
+        loc1a=3, loc2a=2, loc1b=4, loc2b=1,
+        prop_lines=kwargs, prop_patches=prop_patches)
+
+    ax1.add_patch(bbox_patch1)
+    ax2.add_patch(bbox_patch2)
+    ax2.add_patch(c1)
+    ax2.add_patch(c2)
+    ax2.add_patch(p)
+
+    return c1, c2, bbox_patch1, bbox_patch2, p
+
+
+def zoom_effect02(ax1, ax2, **kwargs):
+    """
+    ax1 : the main Axes
+    ax1 : the zoomed Axes
+
+    Similar to zoom_effect01.  The xmin & xmax will be taken from the
+    ax1.viewLim.
+    """
+
+    tt = ax1.transScale + (ax1.transLimits + ax2.transAxes)
+    trans = blended_transform_factory(ax2.transData, tt)
+
+    mybbox1 = ax1.bbox
+    mybbox2 = TransformedBbox(ax1.viewLim, trans)
+
+    prop_patches = {**kwargs, "ec": "none", "alpha": 0.2}
+
+    c1, c2, bbox_patch1, bbox_patch2, p = connect_bbox(
+        mybbox1, mybbox2,
+        loc1a=3, loc2a=2, loc1b=4, loc2b=1,
+        prop_lines=kwargs, prop_patches=prop_patches)
+
+    ax1.add_patch(bbox_patch1)
+    ax2.add_patch(bbox_patch2)
+    ax2.add_patch(c1)
+    ax2.add_patch(c2)
+    ax2.add_patch(p)
+
+    return c1, c2, bbox_patch1, bbox_patch2, p
+
+
+axs = plt.figure().subplot_mosaic([
+    ["zoom1", "zoom2"],
+    ["main", "main"],
+])
+
+axs["main"].set(xlim=(0, 5))
+zoom_effect01(axs["zoom1"], axs["main"], 0.2, 0.8)
+axs["zoom2"].set(xlim=(2, 3))
+zoom_effect02(axs["zoom2"], axs["main"])
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    component: transform
+#    level: advanced
diff --git a/galleries/examples/subplots_axes_and_figures/axhspan_demo.py b/galleries/examples/subplots_axes_and_figures/axhspan_demo.py
new file mode 100644
index 000000000000..971c6002ee71
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axhspan_demo.py
@@ -0,0 +1,55 @@
+"""
+==============================
+Draw regions that span an Axes
+==============================
+
+`~.Axes.axhspan` and `~.Axes.axvspan` draw rectangles that span the Axes in either
+the horizontal or vertical direction and are bounded in the other direction. They are
+often used to highlight data regions.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(7, 3))
+
+np.random.seed(19680801)
+s = 2.9 * np.convolve(np.random.randn(500), np.ones(30) / 30, mode='valid')
+ax1.plot(s)
+ax1.axhspan(-1, 1, alpha=0.1)
+ax1.set(ylim=(-1.5, 1.5), title="axhspan")
+
+
+mu = 8
+sigma = 2
+x = np.linspace(0, 16, 401)
+y = np.exp(-((x-mu)**2)/(2*sigma**2))
+ax2.axvspan(mu-2*sigma, mu-sigma, color='0.95')
+ax2.axvspan(mu-sigma, mu+sigma, color='0.9')
+ax2.axvspan(mu+sigma, mu+2*sigma, color='0.95')
+ax2.axvline(mu, color='darkgrey', linestyle='--')
+ax2.plot(x, y)
+ax2.set(title="axvspan")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.axhspan` / `matplotlib.pyplot.axhspan`
+#    - `matplotlib.axes.Axes.axvspan` / `matplotlib.pyplot.axvspan`
+#
+#
+# .. seealso::
+#
+#    `~.Axes.axhline`, `~.Axes.axvline`, `~.Axes.axline` draw infinite lines.
+#
+# .. tags::
+#
+#    styling: shape
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axis_equal_demo.py b/galleries/examples/subplots_axes_and_figures/axis_equal_demo.py
new file mode 100644
index 000000000000..046af386ae59
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axis_equal_demo.py
@@ -0,0 +1,43 @@
+"""
+=======================
+Equal axis aspect ratio
+=======================
+
+How to set and adjust plots with equal axis aspect ratios.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Plot circle of radius 3.
+
+an = np.linspace(0, 2 * np.pi, 100)
+fig, axs = plt.subplots(2, 2)
+
+axs[0, 0].plot(3 * np.cos(an), 3 * np.sin(an))
+axs[0, 0].set_title('not equal, looks like ellipse', fontsize=10)
+
+axs[0, 1].plot(3 * np.cos(an), 3 * np.sin(an))
+axs[0, 1].axis('equal')
+axs[0, 1].set_title('equal, looks like circle', fontsize=10)
+
+axs[1, 0].plot(3 * np.cos(an), 3 * np.sin(an))
+axs[1, 0].axis('equal')
+axs[1, 0].set(xlim=(-3, 3), ylim=(-3, 3))
+axs[1, 0].set_title('still a circle, even after changing limits', fontsize=10)
+
+axs[1, 1].plot(3 * np.cos(an), 3 * np.sin(an))
+axs[1, 1].set_aspect('equal', 'box')
+axs[1, 1].set_title('still a circle, auto-adjusted data limits', fontsize=10)
+
+fig.tight_layout()
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axes
+#    styling: size
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/axis_labels_demo.py b/galleries/examples/subplots_axes_and_figures/axis_labels_demo.py
new file mode 100644
index 000000000000..2d0bc427b1f9
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/axis_labels_demo.py
@@ -0,0 +1,27 @@
+"""
+===================
+Axis label position
+===================
+
+Choose axis label position when calling `~.Axes.set_xlabel` and
+`~.Axes.set_ylabel` as well as for colorbar.
+
+"""
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+sc = ax.scatter([1, 2], [1, 2], c=[1, 2])
+ax.set_ylabel('YLabel', loc='top')
+ax.set_xlabel('XLabel', loc='left')
+cbar = fig.colorbar(sc)
+cbar.set_label("ZLabel", loc='top')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axis
+#    styling: position
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/broken_axis.py b/galleries/examples/subplots_axes_and_figures/broken_axis.py
new file mode 100644
index 000000000000..6305e613e327
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/broken_axis.py
@@ -0,0 +1,61 @@
+"""
+===========
+Broken axis
+===========
+
+Broken axis example, where the y-axis will have a portion cut out.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+pts = np.random.rand(30)*.2
+# Now let's make two outlier points which are far away from everything.
+pts[[3, 14]] += .8
+
+# If we were to simply plot pts, we'd lose most of the interesting
+# details due to the outliers. So let's 'break' or 'cut-out' the y-axis
+# into two portions - use the top (ax1) for the outliers, and the bottom
+# (ax2) for the details of the majority of our data
+fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
+fig.subplots_adjust(hspace=0.05)  # adjust space between Axes
+
+# plot the same data on both Axes
+ax1.plot(pts)
+ax2.plot(pts)
+
+# zoom-in / limit the view to different portions of the data
+ax1.set_ylim(.78, 1.)  # outliers only
+ax2.set_ylim(0, .22)  # most of the data
+
+# hide the spines between ax and ax2
+ax1.spines.bottom.set_visible(False)
+ax2.spines.top.set_visible(False)
+ax1.xaxis.tick_top()
+ax1.tick_params(labeltop=False)  # don't put tick labels at the top
+ax2.xaxis.tick_bottom()
+
+# Now, let's turn towards the cut-out slanted lines.
+# We create line objects in axes coordinates, in which (0,0), (0,1),
+# (1,0), and (1,1) are the four corners of the Axes.
+# The slanted lines themselves are markers at those locations, such that the
+# lines keep their angle and position, independent of the Axes size or scale
+# Finally, we need to disable clipping.
+
+d = .5  # proportion of vertical to horizontal extent of the slanted line
+kwargs = dict(marker=[(-1, -d), (1, d)], markersize=12,
+              linestyle="none", color='k', mec='k', mew=1, clip_on=False)
+ax1.plot([0, 1], [0, 0], transform=ax1.transAxes, **kwargs)
+ax2.plot([0, 1], [1, 1], transform=ax2.transAxes, **kwargs)
+
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axis
+#    plot-type: line
+#    level: intermediate
diff --git a/galleries/examples/subplots_axes_and_figures/custom_figure_class.py b/galleries/examples/subplots_axes_and_figures/custom_figure_class.py
new file mode 100644
index 000000000000..328447062a5b
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/custom_figure_class.py
@@ -0,0 +1,59 @@
+"""
+========================
+Custom Figure subclasses
+========================
+
+You can pass a `.Figure` subclass to `.pyplot.figure` if you want to change
+the default behavior of the figure.
+
+This example defines a `.Figure` subclass ``WatermarkFigure`` that accepts an
+additional parameter ``watermark`` to display a custom watermark text. The
+figure is created using the ``FigureClass`` parameter of `.pyplot.figure`.
+The additional ``watermark`` parameter is passed on to the subclass
+constructor.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.figure import Figure
+
+
+class WatermarkFigure(Figure):
+    """A figure with a text watermark."""
+
+    def __init__(self, *args, watermark=None, **kwargs):
+        super().__init__(*args, **kwargs)
+
+        if watermark is not None:
+            bbox = dict(boxstyle='square', lw=3, ec='gray',
+                        fc=(0.9, 0.9, .9, .5), alpha=0.5)
+            self.text(0.5, 0.5, watermark,
+                      ha='center', va='center', rotation=30,
+                      fontsize=40, color='gray', alpha=0.5, bbox=bbox)
+
+
+x = np.linspace(-3, 3, 201)
+y = np.tanh(x) + 0.1 * np.cos(5 * x)
+
+plt.figure(FigureClass=WatermarkFigure, watermark='draft')
+plt.plot(x, y)
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.figure`
+#    - `matplotlib.figure.Figure`
+#    - `matplotlib.figure.Figure.text`
+#
+# .. tags::
+#
+#    component: figure
+#    plot-type: line
+#    level: intermediate
+#    purpose: showcase
diff --git a/galleries/examples/subplots_axes_and_figures/demo_constrained_layout.py b/galleries/examples/subplots_axes_and_figures/demo_constrained_layout.py
new file mode 100644
index 000000000000..b3a59ce048c0
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/demo_constrained_layout.py
@@ -0,0 +1,78 @@
+"""
+===================================
+Resize Axes with constrained layout
+===================================
+
+*Constrained layout* attempts to resize subplots in
+a figure so that there are no overlaps between Axes objects and labels
+on the Axes.
+
+See :ref:`constrainedlayout_guide` for more details and
+:ref:`tight_layout_guide` for an alternative.
+
+"""
+
+import matplotlib.pyplot as plt
+
+
+def example_plot(ax):
+    ax.plot([1, 2])
+    ax.set_xlabel('x-label', fontsize=12)
+    ax.set_ylabel('y-label', fontsize=12)
+    ax.set_title('Title', fontsize=14)
+
+
+# %%
+# If we don't use *constrained layout*, then labels overlap the Axes
+
+fig, axs = plt.subplots(nrows=2, ncols=2, layout=None)
+
+for ax in axs.flat:
+    example_plot(ax)
+
+# %%
+# adding ``layout='constrained'`` automatically adjusts.
+
+fig, axs = plt.subplots(nrows=2, ncols=2, layout='constrained')
+
+for ax in axs.flat:
+    example_plot(ax)
+
+# %%
+# Below is a more complicated example using nested gridspecs.
+
+fig = plt.figure(layout='constrained')
+
+import matplotlib.gridspec as gridspec
+
+gs0 = gridspec.GridSpec(1, 2, figure=fig)
+
+gs1 = gridspec.GridSpecFromSubplotSpec(3, 1, subplot_spec=gs0[0])
+for n in range(3):
+    ax = fig.add_subplot(gs1[n])
+    example_plot(ax)
+
+
+gs2 = gridspec.GridSpecFromSubplotSpec(2, 1, subplot_spec=gs0[1])
+for n in range(2):
+    ax = fig.add_subplot(gs2[n])
+    example_plot(ax)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.gridspec.GridSpec`
+#    - `matplotlib.gridspec.GridSpecFromSubplotSpec`
+#
+# .. tags::
+#
+#    component: axes
+#    component: subplot
+#    styling: size
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/demo_tight_layout.py b/galleries/examples/subplots_axes_and_figures/demo_tight_layout.py
new file mode 100644
index 000000000000..4ac0f1b99dfc
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/demo_tight_layout.py
@@ -0,0 +1,141 @@
+"""
+=============================
+Resize Axes with tight layout
+=============================
+
+`~.Figure.tight_layout` attempts to resize subplots in a figure so that there
+are no overlaps between Axes objects and labels on the Axes.
+
+See :ref:`tight_layout_guide` for more details and
+:ref:`constrainedlayout_guide` for an alternative.
+
+"""
+
+import itertools
+import warnings
+
+import matplotlib.pyplot as plt
+
+fontsizes = itertools.cycle([8, 16, 24, 32])
+
+
+def example_plot(ax):
+    ax.plot([1, 2])
+    ax.set_xlabel('x-label', fontsize=next(fontsizes))
+    ax.set_ylabel('y-label', fontsize=next(fontsizes))
+    ax.set_title('Title', fontsize=next(fontsizes))
+
+
+# %%
+
+fig, ax = plt.subplots()
+example_plot(ax)
+fig.tight_layout()
+
+# %%
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+fig.tight_layout()
+
+# %%
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1)
+example_plot(ax1)
+example_plot(ax2)
+fig.tight_layout()
+
+# %%
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2)
+example_plot(ax1)
+example_plot(ax2)
+fig.tight_layout()
+
+# %%
+
+fig, axs = plt.subplots(nrows=3, ncols=3)
+for ax in axs.flat:
+    example_plot(ax)
+fig.tight_layout()
+
+# %%
+
+plt.figure()
+ax1 = plt.subplot(221)
+ax2 = plt.subplot(223)
+ax3 = plt.subplot(122)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+plt.tight_layout()
+
+# %%
+
+plt.figure()
+ax1 = plt.subplot2grid((3, 3), (0, 0))
+ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
+ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
+ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+plt.tight_layout()
+
+# %%
+
+fig = plt.figure()
+
+gs1 = fig.add_gridspec(3, 1)
+ax1 = fig.add_subplot(gs1[0])
+ax2 = fig.add_subplot(gs1[1])
+ax3 = fig.add_subplot(gs1[2])
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+gs1.tight_layout(fig, rect=[None, None, 0.45, None])
+
+gs2 = fig.add_gridspec(2, 1)
+ax4 = fig.add_subplot(gs2[0])
+ax5 = fig.add_subplot(gs2[1])
+example_plot(ax4)
+example_plot(ax5)
+with warnings.catch_warnings():
+    # gs2.tight_layout cannot handle the subplots from the first gridspec
+    # (gs1), so it will raise a warning. We are going to match the gridspecs
+    # manually so we can filter the warning away.
+    warnings.simplefilter("ignore", UserWarning)
+    gs2.tight_layout(fig, rect=[0.45, None, None, None])
+
+# now match the top and bottom of two gridspecs.
+top = min(gs1.top, gs2.top)
+bottom = max(gs1.bottom, gs2.bottom)
+
+gs1.update(top=top, bottom=bottom)
+gs2.update(top=top, bottom=bottom)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.tight_layout` /
+#      `matplotlib.pyplot.tight_layout`
+#    - `matplotlib.figure.Figure.add_gridspec`
+#    - `matplotlib.figure.Figure.add_subplot`
+#    - `matplotlib.pyplot.subplot2grid`
+#
+# .. tags::
+#
+#    component: axes
+#    component: subplot
+#    styling: size
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py b/galleries/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py
new file mode 100644
index 000000000000..95b92482d5ac
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/fahrenheit_celsius_scales.py
@@ -0,0 +1,53 @@
+"""
+=================================
+Different scales on the same Axes
+=================================
+
+Demo of how to display two scales on the left and right y-axis.
+
+This example uses the Fahrenheit and Celsius scales.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def fahrenheit2celsius(temp):
+    """
+    Returns temperature in Celsius given Fahrenheit temperature.
+    """
+    return (5. / 9.) * (temp - 32)
+
+
+def make_plot():
+
+    # Define a closure function to register as a callback
+    def convert_ax_c_to_celsius(ax_f):
+        """
+        Update second axis according to first axis.
+        """
+        y1, y2 = ax_f.get_ylim()
+        ax_c.set_ylim(fahrenheit2celsius(y1), fahrenheit2celsius(y2))
+        ax_c.figure.canvas.draw()
+
+    fig, ax_f = plt.subplots()
+    ax_c = ax_f.twinx()
+
+    # automatically update ylim of ax2 when ylim of ax1 changes.
+    ax_f.callbacks.connect("ylim_changed", convert_ax_c_to_celsius)
+    ax_f.plot(np.linspace(-40, 120, 100))
+    ax_f.set_xlim(0, 100)
+
+    ax_f.set_title('Two scales: Fahrenheit and Celsius')
+    ax_f.set_ylabel('Fahrenheit')
+    ax_c.set_ylabel('Celsius')
+
+    plt.show()
+
+make_plot()
+
+# %%
+# .. tags::
+#
+#    component: axes
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/figure_size_units.py b/galleries/examples/subplots_axes_and_figures/figure_size_units.py
new file mode 100644
index 000000000000..50292ef92b74
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/figure_size_units.py
@@ -0,0 +1,87 @@
+"""
+==============================
+Figure size in different units
+==============================
+
+The native figure size unit in Matplotlib is inches, deriving from print
+industry standards. However, users may need to specify their figures in other
+units like centimeters or pixels. This example illustrates how to do this
+efficiently.
+"""
+
+# sphinx_gallery_thumbnail_number = 2
+
+import matplotlib.pyplot as plt
+
+text_kwargs = dict(ha='center', va='center', fontsize=28, color='C1')
+
+# %%
+# Figure size in inches (default)
+# -------------------------------
+#
+plt.subplots(figsize=(6, 2))
+plt.text(0.5, 0.5, '6 inches x 2 inches', **text_kwargs)
+plt.show()
+
+
+# %%
+# Figure size in centimeter
+# -------------------------
+# Multiplying centimeter-based numbers with a conversion factor from cm to
+# inches, gives the right numbers. Naming the conversion factor ``cm`` makes
+# the conversion almost look like appending a unit to the number, which is
+# nicely readable.
+#
+cm = 1/2.54  # centimeters in inches
+plt.subplots(figsize=(15*cm, 5*cm))
+plt.text(0.5, 0.5, '15cm x 5cm', **text_kwargs)
+plt.show()
+
+
+# %%
+# Figure size in pixel
+# --------------------
+# Similarly, one can use a conversion from pixels.
+#
+# Note that you could break this if you use `~.pyplot.savefig` with a
+# different explicit dpi value.
+#
+px = 1/plt.rcParams['figure.dpi']  # pixel in inches
+plt.subplots(figsize=(600*px, 200*px))
+plt.text(0.5, 0.5, '600px x 200px', **text_kwargs)
+plt.show()
+
+# %%
+# Quick interactive work is usually rendered to the screen, making pixels a
+# good size of unit. But defining the conversion factor may feel a little
+# tedious for quick iterations.
+#
+# Because of the default ``rcParams['figure.dpi'] = 100``, one can mentally
+# divide the needed pixel value by 100 [#]_:
+#
+plt.subplots(figsize=(6, 2))
+plt.text(0.5, 0.5, '600px x 200px', **text_kwargs)
+plt.show()
+
+# %%
+# .. [#] Unfortunately, this does not work well for the ``matplotlib inline``
+#        backend in Jupyter because that backend saves the figure
+#        with ``bbox_inches='tight'``, which crops the figure and makes the
+#        actual size unpredictable.
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.figure`
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.pyplot.subplot_mosaic`
+#
+# .. tags::
+#
+#    component: figure
+#    styling: size
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/figure_title.py b/galleries/examples/subplots_axes_and_figures/figure_title.py
new file mode 100644
index 000000000000..1b0eb1a00b23
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/figure_title.py
@@ -0,0 +1,61 @@
+"""
+=============================================
+Figure labels: suptitle, supxlabel, supylabel
+=============================================
+
+Each Axes can have a title (or actually three - one each with *loc* "left",
+"center", and "right"), but is sometimes desirable to give a whole figure
+(or `.SubFigure`) an overall title, using `.Figure.suptitle`.
+
+We can also add figure-level x- and y-labels using `.Figure.supxlabel` and
+`.Figure.supylabel`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.cbook import get_sample_data
+
+x = np.linspace(0.0, 5.0, 501)
+
+fig, (ax1, ax2) = plt.subplots(1, 2, layout='constrained', sharey=True)
+ax1.plot(x, np.cos(6*x) * np.exp(-x))
+ax1.set_title('damped')
+ax1.set_xlabel('time (s)')
+ax1.set_ylabel('amplitude')
+
+ax2.plot(x, np.cos(6*x))
+ax2.set_xlabel('time (s)')
+ax2.set_title('undamped')
+
+fig.suptitle('Different types of oscillations', fontsize=16)
+
+# %%
+# A global x- or y-label can be set using the `.Figure.supxlabel` and
+# `.Figure.supylabel` methods.
+
+
+with get_sample_data('Stocks.csv') as file:
+    stocks = np.genfromtxt(
+        file, delimiter=',', names=True, dtype=None,
+        converters={0: lambda x: np.datetime64(x, 'D')}, skip_header=1)
+
+fig, axs = plt.subplots(4, 2, figsize=(9, 5), layout='constrained',
+                        sharex=True, sharey=True)
+for nn, ax in enumerate(axs.flat):
+    column_name = stocks.dtype.names[1+nn]
+    y = stocks[column_name]
+    line, = ax.plot(stocks['Date'], y / np.nanmax(y), lw=2.5)
+    ax.set_title(column_name, fontsize='small', loc='left')
+fig.supxlabel('Year')
+fig.supylabel('Stock price relative to max')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: figure
+#    component: title
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/ganged_plots.py b/galleries/examples/subplots_axes_and_figures/ganged_plots.py
new file mode 100644
index 000000000000..3229d64a15b4
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/ganged_plots.py
@@ -0,0 +1,47 @@
+"""
+=================
+Adjacent subplots
+=================
+
+To create plots that share a common axis (visually) you can set the hspace
+between the subplots to zero. Passing sharex=True when creating the subplots
+will automatically turn off all x ticks and labels except those on the bottom
+axis.
+
+In this example the plots share a common x-axis, but you can follow the same
+logic to supply a common y-axis.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2.0, 0.01)
+
+s1 = np.sin(2 * np.pi * t)
+s2 = np.exp(-t)
+s3 = s1 * s2
+
+fig, axs = plt.subplots(3, 1, sharex=True)
+# Remove vertical space between Axes
+fig.subplots_adjust(hspace=0)
+
+# Plot each graph, and manually set the y tick values
+axs[0].plot(t, s1)
+axs[0].set_yticks(np.arange(-0.9, 1.0, 0.4))
+axs[0].set_ylim(-1, 1)
+
+axs[1].plot(t, s2)
+axs[1].set_yticks(np.arange(0.1, 1.0, 0.2))
+axs[1].set_ylim(0, 1)
+
+axs[2].plot(t, s3)
+axs[2].set_yticks(np.arange(-0.9, 1.0, 0.4))
+axs[2].set_ylim(-1, 1)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/geo_demo.py b/galleries/examples/subplots_axes_and_figures/geo_demo.py
new file mode 100644
index 000000000000..256c440cc4d1
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/geo_demo.py
@@ -0,0 +1,49 @@
+"""
+======================
+Geographic Projections
+======================
+
+This shows 4 possible geographic projections.  Cartopy_ supports more
+projections.
+
+.. _Cartopy: https://scitools.org.uk/cartopy/
+"""
+
+import matplotlib.pyplot as plt
+
+# %%
+
+plt.figure()
+plt.subplot(projection="aitoff")
+plt.title("Aitoff")
+plt.grid(True)
+
+# %%
+
+plt.figure()
+plt.subplot(projection="hammer")
+plt.title("Hammer")
+plt.grid(True)
+
+# %%
+
+plt.figure()
+plt.subplot(projection="lambert")
+plt.title("Lambert")
+plt.grid(True)
+
+# %%
+
+plt.figure()
+plt.subplot(projection="mollweide")
+plt.title("Mollweide")
+plt.grid(True)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    plot-type: specialty
+#    component: projection
+#    domain: cartography
diff --git a/galleries/examples/subplots_axes_and_figures/gridspec_and_subplots.py b/galleries/examples/subplots_axes_and_figures/gridspec_and_subplots.py
new file mode 100644
index 000000000000..9996bde9306a
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/gridspec_and_subplots.py
@@ -0,0 +1,36 @@
+"""
+================================================
+Combine two subplots using subplots and GridSpec
+================================================
+
+Sometimes we want to combine two subplots in an Axes layout created with
+`~.Figure.subplots`.  We can get the `~.gridspec.GridSpec` from the Axes
+and then remove the covered Axes and fill the gap with a new bigger Axes.
+Here we create a layout with the bottom two Axes in the last column combined.
+
+To start with this layout (rather than removing the overlapping Axes) use
+`~.pyplot.subplot_mosaic`.
+
+See also :ref:`arranging_axes`.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, axs = plt.subplots(ncols=3, nrows=3)
+gs = axs[1, 2].get_gridspec()
+# remove the underlying Axes
+for ax in axs[1:, -1]:
+    ax.remove()
+axbig = fig.add_subplot(gs[1:, -1])
+axbig.annotate('Big Axes \nGridSpec[1:, -1]', (0.1, 0.5),
+               xycoords='axes fraction', va='center')
+
+fig.tight_layout()
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/gridspec_customization.py b/galleries/examples/subplots_axes_and_figures/gridspec_customization.py
new file mode 100644
index 000000000000..08b2dfd45474
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/gridspec_customization.py
@@ -0,0 +1,54 @@
+"""
+========================================
+GridSpec with variable sizes and spacing
+========================================
+
+This example demonstrates the use of `.GridSpec` to generate subplots,
+the control of the relative sizes of subplots with *width_ratios* and
+*height_ratios*, and the control of the spacing around and between subplots
+using subplot params (*left*, *right*, *bottom*, *top*, *wspace*, and
+*hspace*).
+
+.. redirect-from:: /gallery/userdemo/demo_gridspec03
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.gridspec import GridSpec
+
+
+def annotate_axes(fig):
+    for i, ax in enumerate(fig.axes):
+        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
+        ax.tick_params(labelbottom=False, labelleft=False)
+
+
+fig = plt.figure()
+fig.suptitle("Controlling subplot sizes with width_ratios and height_ratios")
+
+gs = GridSpec(2, 2, width_ratios=[1, 2], height_ratios=[4, 1])
+ax1 = fig.add_subplot(gs[0])
+ax2 = fig.add_subplot(gs[1])
+ax3 = fig.add_subplot(gs[2])
+ax4 = fig.add_subplot(gs[3])
+
+annotate_axes(fig)
+
+# %%
+
+fig = plt.figure()
+fig.suptitle("Controlling spacing around and between subplots")
+
+gs1 = GridSpec(3, 3, left=0.05, right=0.48, wspace=0.05)
+ax1 = fig.add_subplot(gs1[:-1, :])
+ax2 = fig.add_subplot(gs1[-1, :-1])
+ax3 = fig.add_subplot(gs1[-1, -1])
+
+gs2 = GridSpec(3, 3, left=0.55, right=0.98, hspace=0.05)
+ax4 = fig.add_subplot(gs2[:, :-1])
+ax5 = fig.add_subplot(gs2[:-1, -1])
+ax6 = fig.add_subplot(gs2[-1, -1])
+
+annotate_axes(fig)
+
+plt.show()
diff --git a/galleries/examples/subplots_axes_and_figures/gridspec_multicolumn.py b/galleries/examples/subplots_axes_and_figures/gridspec_multicolumn.py
new file mode 100644
index 000000000000..3762dec4fdb8
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/gridspec_multicolumn.py
@@ -0,0 +1,40 @@
+"""
+=============================================
+Gridspec for multi-column/row subplot layouts
+=============================================
+
+`.GridSpec` is a flexible way to layout
+subplot grids.  Here is an example with a 3x3 grid, and
+axes spanning all three columns, two columns, and two rows.
+
+"""
+import matplotlib.pyplot as plt
+
+from matplotlib.gridspec import GridSpec
+
+
+def format_axes(fig):
+    for i, ax in enumerate(fig.axes):
+        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
+        ax.tick_params(labelbottom=False, labelleft=False)
+
+fig = plt.figure(layout="constrained")
+
+gs = GridSpec(3, 3, figure=fig)
+ax1 = fig.add_subplot(gs[0, :])
+# identical to ax1 = plt.subplot(gs.new_subplotspec((0, 0), colspan=3))
+ax2 = fig.add_subplot(gs[1, :-1])
+ax3 = fig.add_subplot(gs[1:, -1])
+ax4 = fig.add_subplot(gs[-1, 0])
+ax5 = fig.add_subplot(gs[-1, -2])
+
+fig.suptitle("GridSpec")
+format_axes(fig)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    level: intermediate
diff --git a/galleries/examples/subplots_axes_and_figures/gridspec_nested.py b/galleries/examples/subplots_axes_and_figures/gridspec_nested.py
new file mode 100644
index 000000000000..025bdb1185a7
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/gridspec_nested.py
@@ -0,0 +1,52 @@
+"""
+================
+Nested Gridspecs
+================
+
+GridSpecs can be nested, so that a subplot from a parent GridSpec can
+set the position for a nested grid of subplots.
+
+Note that the same functionality can be achieved more directly with
+`~.Figure.subfigures`; see
+:doc:`/gallery/subplots_axes_and_figures/subfigures`.
+
+"""
+import matplotlib.pyplot as plt
+
+import matplotlib.gridspec as gridspec
+
+
+def format_axes(fig):
+    for i, ax in enumerate(fig.axes):
+        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
+        ax.tick_params(labelbottom=False, labelleft=False)
+
+
+# gridspec inside gridspec
+fig = plt.figure()
+
+gs0 = gridspec.GridSpec(1, 2, figure=fig)
+
+gs00 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gs0[0])
+
+ax1 = fig.add_subplot(gs00[:-1, :])
+ax2 = fig.add_subplot(gs00[-1, :-1])
+ax3 = fig.add_subplot(gs00[-1, -1])
+
+# the following syntax does the same as the GridSpecFromSubplotSpec call above:
+gs01 = gs0[1].subgridspec(3, 3)
+
+ax4 = fig.add_subplot(gs01[:, :-1])
+ax5 = fig.add_subplot(gs01[:-1, -1])
+ax6 = fig.add_subplot(gs01[-1, -1])
+
+plt.suptitle("GridSpec Inside GridSpec")
+format_axes(fig)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    level: intermediate
diff --git a/galleries/examples/subplots_axes_and_figures/invert_axes.py b/galleries/examples/subplots_axes_and_figures/invert_axes.py
new file mode 100644
index 000000000000..40a4ca2479b7
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/invert_axes.py
@@ -0,0 +1,42 @@
+"""
+=============
+Inverted axis
+=============
+
+This example demonstrates two ways to invert the direction of an axis:
+
+- If you want to set *explicit axis limits* anyway, e.g. via `~.Axes.set_xlim`, you
+  can swap the limit values: ``set_xlim(4, 0)`` instead of ``set_xlim(0, 4)``.
+- Use `.Axis.set_inverted` if you only want to invert the axis *without modifying
+  the limits*, i.e. keep existing limits or existing autoscaling behavior.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(0.01, 4.0, 0.01)
+y = np.exp(-x)
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6.4,  4), layout="constrained")
+fig.suptitle('Inverted axis with ...')
+
+ax1.plot(x, y)
+ax1.set_xlim(4, 0)   # inverted fixed limits
+ax1.set_title('fixed limits: set_xlim(4, 0)')
+ax1.set_xlabel('decreasing x ⟶')
+ax1.grid(True)
+
+ax2.plot(x, y)
+ax2.xaxis.set_inverted(True)  # inverted axis with autoscaling
+ax2.set_title('autoscaling: set_inverted(True)')
+ax2.set_xlabel('decreasing x ⟶')
+ax2.grid(True)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axis
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/multiple_figs_demo.py b/galleries/examples/subplots_axes_and_figures/multiple_figs_demo.py
new file mode 100644
index 000000000000..fe3b2ab191a1
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/multiple_figs_demo.py
@@ -0,0 +1,54 @@
+"""
+=================================
+Manage multiple figures in pyplot
+=================================
+
+`matplotlib.pyplot` uses the concept of a *current figure* and *current Axes*.
+Figures are identified via a figure number that is passed to `~.pyplot.figure`.
+The figure with the given number is set as *current figure*. Additionally, if
+no figure with the number exists, a new one is created.
+
+.. note::
+
+    We discourage working with multiple figures through the implicit pyplot
+    interface because managing the *current figure* is cumbersome and
+    error-prone. Instead, we recommend using the explicit approach and call
+    methods on Figure and Axes instances. See :ref:`api_interfaces` for an
+    explanation of the trade-offs between the implicit and explicit interfaces.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.0, 2.0, 0.01)
+s1 = np.sin(2*np.pi*t)
+s2 = np.sin(4*np.pi*t)
+
+# %%
+# Create figure 1
+
+plt.figure(1)
+plt.subplot(211)
+plt.plot(t, s1)
+plt.subplot(212)
+plt.plot(t, 2*s1)
+
+# %%
+# Create figure 2
+
+plt.figure(2)
+plt.plot(t, s2)
+
+# %%
+# Now switch back to figure 1 and make some changes
+
+plt.figure(1)
+plt.subplot(211)
+plt.plot(t, s2, 's')
+ax = plt.gca()
+ax.set_xticklabels([])
+
+plt.show()
+
+# %%
+# .. tags:: component: figure, plot-type: line
diff --git a/galleries/examples/subplots_axes_and_figures/secondary_axis.py b/galleries/examples/subplots_axes_and_figures/secondary_axis.py
new file mode 100644
index 000000000000..842b296f78cf
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/secondary_axis.py
@@ -0,0 +1,217 @@
+"""
+==============
+Secondary Axis
+==============
+
+Sometimes we want a secondary axis on a plot, for instance to convert
+radians to degrees on the same plot.  We can do this by making a child
+axes with only one axis visible via `.axes.Axes.secondary_xaxis` and
+`.axes.Axes.secondary_yaxis`.  This secondary axis can have a different scale
+than the main axis by providing both a forward and an inverse conversion
+function in a tuple to the *functions* keyword argument:
+"""
+
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.dates as mdates
+
+fig, ax = plt.subplots(layout='constrained')
+x = np.arange(0, 360, 1)
+y = np.sin(2 * x * np.pi / 180)
+ax.plot(x, y)
+ax.set_xlabel('angle [degrees]')
+ax.set_ylabel('signal')
+ax.set_title('Sine wave')
+
+
+def deg2rad(x):
+    return x * np.pi / 180
+
+
+def rad2deg(x):
+    return x * 180 / np.pi
+
+
+secax = ax.secondary_xaxis('top', functions=(deg2rad, rad2deg))
+secax.set_xlabel('angle [rad]')
+plt.show()
+
+# %%
+# By default, the secondary axis is drawn in the Axes coordinate space.
+# We can also provide a custom transform to place it in a different
+# coordinate space. Here we put the axis at Y = 0 in data coordinates.
+
+fig, ax = plt.subplots(layout='constrained')
+x = np.arange(0, 10)
+np.random.seed(19680801)
+y = np.random.randn(len(x))
+ax.plot(x, y)
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_title('Random data')
+
+# Pass ax.transData as a transform to place the axis relative to our data
+secax = ax.secondary_xaxis(0, transform=ax.transData)
+secax.set_xlabel('Axis at Y = 0')
+plt.show()
+
+# %%
+# Here is the case of converting from wavenumber to wavelength in a
+# log-log scale.
+#
+# .. note::
+#
+#   In this case, the xscale of the parent is logarithmic, so the child is
+#   made logarithmic as well.
+
+fig, ax = plt.subplots(layout='constrained')
+x = np.arange(0.02, 1, 0.02)
+np.random.seed(19680801)
+y = np.random.randn(len(x)) ** 2
+ax.loglog(x, y)
+ax.set_xlabel('f [Hz]')
+ax.set_ylabel('PSD')
+ax.set_title('Random spectrum')
+
+
+def one_over(x):
+    """Vectorized 1/x, treating x==0 manually"""
+    x = np.array(x, float)
+    near_zero = np.isclose(x, 0)
+    x[near_zero] = np.inf
+    x[~near_zero] = 1 / x[~near_zero]
+    return x
+
+
+# the function "1/x" is its own inverse
+inverse = one_over
+
+
+secax = ax.secondary_xaxis('top', functions=(one_over, inverse))
+secax.set_xlabel('period [s]')
+plt.show()
+
+# %%
+# Sometime we want to relate the axes in a transform that is ad-hoc from the data, and
+# is derived empirically. Or, one axis could be a complicated nonlinear function of the
+# other. In these cases we can set the forward and inverse transform functions to be
+# linear interpolations from the one set of independent variables to the other.
+#
+# .. note::
+#
+#   In order to properly handle the data margins, the mapping functions
+#   (``forward`` and ``inverse`` in this example) need to be defined beyond the
+#   nominal plot limits. This condition can be enforced by extending the
+#   interpolation beyond the plotted values, both to the left and the right,
+#   see ``x1n`` and ``x2n`` below.
+
+fig, ax = plt.subplots(layout='constrained')
+x1_vals = np.arange(2, 11, 0.4)
+# second independent variable is a nonlinear function of the other.
+x2_vals = x1_vals ** 2
+ydata = 50.0 + 20 * np.random.randn(len(x1_vals))
+ax.plot(x1_vals, ydata, label='Plotted data')
+ax.plot(x1_vals, x2_vals, label=r'$x_2 = x_1^2$')
+ax.set_xlabel(r'$x_1$')
+ax.legend()
+
+# the forward and inverse functions must be defined on the complete visible axis range
+x1n = np.linspace(0, 20, 201)
+x2n = x1n**2
+
+
+def forward(x):
+    return np.interp(x, x1n, x2n)
+
+
+def inverse(x):
+    return np.interp(x, x2n, x1n)
+
+# use axvline to prove that the derived secondary axis is correctly plotted
+ax.axvline(np.sqrt(40), color="grey", ls="--")
+ax.axvline(10, color="grey", ls="--")
+secax = ax.secondary_xaxis('top', functions=(forward, inverse))
+secax.set_xticks([10, 20, 40, 60, 80, 100])
+secax.set_xlabel(r'$x_2$')
+
+plt.show()
+
+# %%
+# A final example translates np.datetime64 to yearday on the x axis and
+# from Celsius to Fahrenheit on the y axis.  Note the addition of a
+# third y axis, and that it can be placed using a float for the
+# location argument
+
+dates = [datetime.datetime(2018, 1, 1) + datetime.timedelta(hours=k * 6)
+         for k in range(240)]
+temperature = np.random.randn(len(dates)) * 4 + 6.7
+fig, ax = plt.subplots(layout='constrained')
+
+ax.plot(dates, temperature)
+ax.set_ylabel(r'$T\ [^oC]$')
+ax.xaxis.set_tick_params(rotation=70)
+
+
+def date2yday(x):
+    """Convert matplotlib datenum to days since 2018-01-01."""
+    y = x - mdates.date2num(datetime.datetime(2018, 1, 1))
+    return y
+
+
+def yday2date(x):
+    """Return a matplotlib datenum for *x* days after 2018-01-01."""
+    y = x + mdates.date2num(datetime.datetime(2018, 1, 1))
+    return y
+
+
+secax_x = ax.secondary_xaxis('top', functions=(date2yday, yday2date))
+secax_x.set_xlabel('yday [2018]')
+
+
+def celsius_to_fahrenheit(x):
+    return x * 1.8 + 32
+
+
+def fahrenheit_to_celsius(x):
+    return (x - 32) / 1.8
+
+
+secax_y = ax.secondary_yaxis(
+    'right', functions=(celsius_to_fahrenheit, fahrenheit_to_celsius))
+secax_y.set_ylabel(r'$T\ [^oF]$')
+
+
+def celsius_to_anomaly(x):
+    return (x - np.mean(temperature))
+
+
+def anomaly_to_celsius(x):
+    return (x + np.mean(temperature))
+
+
+# use of a float for the position:
+secax_y2 = ax.secondary_yaxis(
+    1.2, functions=(celsius_to_anomaly, anomaly_to_celsius))
+secax_y2.set_ylabel(r'$T - \overline{T}\ [^oC]$')
+
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.secondary_xaxis`
+#    - `matplotlib.axes.Axes.secondary_yaxis`
+#
+# .. tags::
+#
+#    component: axis
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/share_axis_lims_views.py b/galleries/examples/subplots_axes_and_figures/share_axis_lims_views.py
new file mode 100644
index 000000000000..e0aa04d13def
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/share_axis_lims_views.py
@@ -0,0 +1,32 @@
+"""
+===========================
+Share axis limits and views
+===========================
+
+It's common to make two or more plots which share an axis, e.g., two subplots
+with time as a common axis.  When you pan and zoom around on one, you want the
+other to move around with you.  To facilitate this, matplotlib Axes support a
+``sharex`` and ``sharey`` attribute.  When you create a `~.pyplot.subplot` or
+`~.pyplot.axes`, you can pass in a keyword indicating what Axes you want to
+share with.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0, 10, 0.01)
+
+ax1 = plt.subplot(211)
+ax1.plot(t, np.sin(2*np.pi*t))
+
+ax2 = plt.subplot(212, sharex=ax1)
+ax2.plot(t, np.sin(4*np.pi*t))
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axis
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/shared_axis_demo.py b/galleries/examples/subplots_axes_and_figures/shared_axis_demo.py
new file mode 100644
index 000000000000..848db115456a
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/shared_axis_demo.py
@@ -0,0 +1,53 @@
+"""
+===========
+Shared axis
+===========
+
+You can share the x- or y-axis limits for one axis with another by
+passing an `~.axes.Axes` instance as a *sharex* or *sharey* keyword argument.
+
+Changing the axis limits on one Axes will be reflected automatically
+in the other, and vice-versa, so when you navigate with the toolbar
+the Axes will follow each other on their shared axis.  Ditto for
+changes in the axis scaling (e.g., log vs. linear).  However, it is
+possible to have differences in tick labeling, e.g., you can selectively
+turn off the tick labels on one Axes.
+
+The example below shows how to customize the tick labels on the
+various axes.  Shared axes share the tick locator, tick formatter,
+view limits, and transformation (e.g., log, linear). But the tick labels
+themselves do not share properties.  This is a feature and not a bug,
+because you may want to make the tick labels smaller on the upper
+axes, e.g., in the example below.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+t = np.arange(0.01, 5.0, 0.01)
+s1 = np.sin(2 * np.pi * t)
+s2 = np.exp(-t)
+s3 = np.sin(4 * np.pi * t)
+
+ax1 = plt.subplot(311)
+plt.plot(t, s1)
+# reduce the fontsize of the tick labels
+plt.tick_params('x', labelsize=6)
+
+# share x only
+ax2 = plt.subplot(312, sharex=ax1)
+plt.plot(t, s2)
+# make these tick labels invisible
+plt.tick_params('x', labelbottom=False)
+
+# share x and y
+ax3 = plt.subplot(313, sharex=ax1, sharey=ax1)
+plt.plot(t, s3)
+plt.xlim(0.01, 5.0)
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: axis
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/subfigures.py b/galleries/examples/subplots_axes_and_figures/subfigures.py
new file mode 100644
index 000000000000..cbe62f57d6b1
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/subfigures.py
@@ -0,0 +1,152 @@
+"""
+=================
+Figure subfigures
+=================
+
+Sometimes it is desirable to have a figure with two different layouts in it.
+This can be achieved with
+:doc:`nested gridspecs</gallery/subplots_axes_and_figures/gridspec_nested>`,
+but having a virtual figure with its own artists is helpful, so
+Matplotlib also has "subfigures", accessed by calling
+`matplotlib.figure.Figure.add_subfigure` in a way that is analogous to
+`matplotlib.figure.Figure.add_subplot`, or
+`matplotlib.figure.Figure.subfigures` to make an array of subfigures.  Note
+that subfigures can also have their own child subfigures.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def example_plot(ax, fontsize=12, hide_labels=False):
+    pc = ax.pcolormesh(np.random.randn(30, 30), vmin=-2.5, vmax=2.5)
+    if not hide_labels:
+        ax.set_xlabel('x-label', fontsize=fontsize)
+        ax.set_ylabel('y-label', fontsize=fontsize)
+        ax.set_title('Title', fontsize=fontsize)
+    return pc
+
+np.random.seed(19680808)
+# gridspec inside gridspec
+fig = plt.figure(layout='constrained', figsize=(10, 4))
+subfigs = fig.subfigures(1, 2, wspace=0.07)
+
+axsLeft = subfigs[0].subplots(1, 2, sharey=True)
+subfigs[0].set_facecolor('0.75')
+for ax in axsLeft:
+    pc = example_plot(ax)
+subfigs[0].suptitle('Left plots', fontsize='x-large')
+subfigs[0].colorbar(pc, shrink=0.6, ax=axsLeft, location='bottom')
+
+axsRight = subfigs[1].subplots(3, 1, sharex=True)
+for nn, ax in enumerate(axsRight):
+    pc = example_plot(ax, hide_labels=True)
+    if nn == 2:
+        ax.set_xlabel('xlabel')
+    if nn == 1:
+        ax.set_ylabel('ylabel')
+
+subfigs[1].set_facecolor('0.85')
+subfigs[1].colorbar(pc, shrink=0.6, ax=axsRight)
+subfigs[1].suptitle('Right plots', fontsize='x-large')
+
+fig.suptitle('Figure suptitle', fontsize='xx-large')
+
+plt.show()
+
+# %%
+# It is possible to mix subplots and subfigures using
+# `matplotlib.figure.Figure.add_subfigure`.  This requires getting
+# the gridspec that the subplots are laid out on.
+
+fig, axs = plt.subplots(2, 3, layout='constrained', figsize=(10, 4))
+gridspec = axs[0, 0].get_subplotspec().get_gridspec()
+
+# clear the left column for the subfigure:
+for a in axs[:, 0]:
+    a.remove()
+
+# plot data in remaining Axes:
+for a in axs[:, 1:].flat:
+    a.plot(np.arange(10))
+
+# make the subfigure in the empty gridspec slots:
+subfig = fig.add_subfigure(gridspec[:, 0])
+
+axsLeft = subfig.subplots(1, 2, sharey=True)
+subfig.set_facecolor('0.75')
+for ax in axsLeft:
+    pc = example_plot(ax)
+subfig.suptitle('Left plots', fontsize='x-large')
+subfig.colorbar(pc, shrink=0.6, ax=axsLeft, location='bottom')
+
+fig.suptitle('Figure suptitle', fontsize='xx-large')
+plt.show()
+
+# %%
+# Subfigures can have different widths and heights.  This is exactly the
+# same example as the first example, but *width_ratios* has been changed:
+
+fig = plt.figure(layout='constrained', figsize=(10, 4))
+subfigs = fig.subfigures(1, 2, wspace=0.07, width_ratios=[2, 1])
+
+axsLeft = subfigs[0].subplots(1, 2, sharey=True)
+subfigs[0].set_facecolor('0.75')
+for ax in axsLeft:
+    pc = example_plot(ax)
+subfigs[0].suptitle('Left plots', fontsize='x-large')
+subfigs[0].colorbar(pc, shrink=0.6, ax=axsLeft, location='bottom')
+
+axsRight = subfigs[1].subplots(3, 1, sharex=True)
+for nn, ax in enumerate(axsRight):
+    pc = example_plot(ax, hide_labels=True)
+    if nn == 2:
+        ax.set_xlabel('xlabel')
+    if nn == 1:
+        ax.set_ylabel('ylabel')
+
+subfigs[1].set_facecolor('0.85')
+subfigs[1].colorbar(pc, shrink=0.6, ax=axsRight)
+subfigs[1].suptitle('Right plots', fontsize='x-large')
+
+fig.suptitle('Figure suptitle', fontsize='xx-large')
+
+plt.show()
+
+# %%
+# Subfigures can be also be nested:
+
+fig = plt.figure(layout='constrained', figsize=(10, 8))
+
+fig.suptitle('fig')
+
+subfigs = fig.subfigures(1, 2, wspace=0.07)
+
+subfigs[0].set_facecolor('coral')
+subfigs[0].suptitle('subfigs[0]')
+
+subfigs[1].set_facecolor('coral')
+subfigs[1].suptitle('subfigs[1]')
+
+subfigsnest = subfigs[0].subfigures(2, 1, height_ratios=[1, 1.4])
+subfigsnest[0].suptitle('subfigsnest[0]')
+subfigsnest[0].set_facecolor('r')
+axsnest0 = subfigsnest[0].subplots(1, 2, sharey=True)
+for nn, ax in enumerate(axsnest0):
+    pc = example_plot(ax, hide_labels=True)
+subfigsnest[0].colorbar(pc, ax=axsnest0)
+
+subfigsnest[1].suptitle('subfigsnest[1]')
+subfigsnest[1].set_facecolor('g')
+axsnest1 = subfigsnest[1].subplots(3, 1, sharex=True)
+
+axsRight = subfigs[1].subplots(2, 2)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: figure
+#    plot-type: pcolormesh
+#    level: intermediate
diff --git a/galleries/examples/subplots_axes_and_figures/subplot.py b/galleries/examples/subplots_axes_and_figures/subplot.py
new file mode 100644
index 000000000000..e23b86fa3e9c
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/subplot.py
@@ -0,0 +1,58 @@
+"""
+=================
+Multiple subplots
+=================
+
+Simple demo with multiple subplots.
+
+For more options, see :doc:`/gallery/subplots_axes_and_figures/subplots_demo`.
+
+.. redirect-from:: /gallery/subplots_axes_and_figures/subplot_demo
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create some fake data.
+x1 = np.linspace(0.0, 5.0)
+y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
+x2 = np.linspace(0.0, 2.0)
+y2 = np.cos(2 * np.pi * x2)
+
+# %%
+# `~.pyplot.subplots()` is the recommended method to generate simple subplot
+# arrangements:
+
+fig, (ax1, ax2) = plt.subplots(2, 1)
+fig.suptitle('A tale of 2 subplots')
+
+ax1.plot(x1, y1, 'o-')
+ax1.set_ylabel('Damped oscillation')
+
+ax2.plot(x2, y2, '.-')
+ax2.set_xlabel('time (s)')
+ax2.set_ylabel('Undamped')
+
+plt.show()
+
+# %%
+# Subplots can also be generated one at a time using `~.pyplot.subplot()`:
+
+plt.subplot(2, 1, 1)
+plt.plot(x1, y1, 'o-')
+plt.title('A tale of 2 subplots')
+plt.ylabel('Damped oscillation')
+
+plt.subplot(2, 1, 2)
+plt.plot(x2, y2, '.-')
+plt.xlabel('time (s)')
+plt.ylabel('Undamped')
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/subplot2grid.py b/galleries/examples/subplots_axes_and_figures/subplot2grid.py
new file mode 100644
index 000000000000..cd500ccf65b2
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/subplot2grid.py
@@ -0,0 +1,32 @@
+"""
+============
+subplot2grid
+============
+
+This example demonstrates the use of `.pyplot.subplot2grid` to generate
+subplots.  Using `.GridSpec`, as demonstrated in
+:doc:`/gallery/subplots_axes_and_figures/gridspec_customization` is
+generally preferred.
+
+.. redirect-from:: /gallery/userdemo/demo_gridspec01
+"""
+
+import matplotlib.pyplot as plt
+
+
+def annotate_axes(fig):
+    for i, ax in enumerate(fig.axes):
+        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
+        ax.tick_params(labelbottom=False, labelleft=False)
+
+
+fig = plt.figure()
+ax1 = plt.subplot2grid((3, 3), (0, 0), colspan=3)
+ax2 = plt.subplot2grid((3, 3), (1, 0), colspan=2)
+ax3 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
+ax4 = plt.subplot2grid((3, 3), (2, 0))
+ax5 = plt.subplot2grid((3, 3), (2, 1))
+
+annotate_axes(fig)
+
+plt.show()
diff --git a/galleries/examples/subplots_axes_and_figures/subplots_adjust.py b/galleries/examples/subplots_axes_and_figures/subplots_adjust.py
new file mode 100644
index 000000000000..8e3b876adfeb
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/subplots_adjust.py
@@ -0,0 +1,38 @@
+"""
+=============================
+Subplots spacings and margins
+=============================
+
+Adjusting the spacing of margins and subplots using `.pyplot.subplots_adjust`.
+
+.. note::
+   There is also a tool window to adjust the margins and spacings of displayed
+   figures interactively.  It can be opened via the toolbar or by calling
+   `.pyplot.subplot_tool`.
+
+.. redirect-from:: /gallery/subplots_axes_and_figures/subplot_toolbar
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+plt.subplot(211)
+plt.imshow(np.random.random((100, 100)))
+plt.subplot(212)
+plt.imshow(np.random.random((100, 100)))
+
+plt.subplots_adjust(bottom=0.1, right=0.8, top=0.9)
+cax = plt.axes((0.85, 0.1, 0.075, 0.8))
+plt.colorbar(cax=cax)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot
+#    plot-type: imshow
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/subplots_demo.py b/galleries/examples/subplots_axes_and_figures/subplots_demo.py
new file mode 100644
index 000000000000..0e3cb1102230
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/subplots_demo.py
@@ -0,0 +1,222 @@
+"""
+===============================================
+Create multiple subplots using ``plt.subplots``
+===============================================
+
+`.pyplot.subplots` creates a figure and a grid of subplots with a single call,
+while providing reasonable control over how the individual plots are created.
+For more advanced use cases you can use `.GridSpec` for a more general subplot
+layout or `.Figure.add_subplot` for adding subplots at arbitrary locations
+within the figure.
+"""
+
+# sphinx_gallery_thumbnail_number = 11
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Some example data to display
+x = np.linspace(0, 2 * np.pi, 400)
+y = np.sin(x ** 2)
+
+# %%
+# A figure with just one subplot
+# """"""""""""""""""""""""""""""
+#
+# ``subplots()`` without arguments returns a `.Figure` and a single
+# `~.axes.Axes`.
+#
+# This is actually the simplest and recommended way of creating a single
+# Figure and Axes.
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_title('A single plot')
+
+# %%
+# Stacking subplots in one direction
+# """"""""""""""""""""""""""""""""""
+#
+# The first two optional arguments of `.pyplot.subplots` define the number of
+# rows and columns of the subplot grid.
+#
+# When stacking in one direction only, the returned ``axs`` is a 1D numpy array
+# containing the list of created Axes.
+
+fig, axs = plt.subplots(2)
+fig.suptitle('Vertically stacked subplots')
+axs[0].plot(x, y)
+axs[1].plot(x, -y)
+
+# %%
+# If you are creating just a few Axes, it's handy to unpack them immediately to
+# dedicated variables for each Axes. That way, we can use ``ax1`` instead of
+# the more verbose ``axs[0]``.
+
+fig, (ax1, ax2) = plt.subplots(2)
+fig.suptitle('Vertically stacked subplots')
+ax1.plot(x, y)
+ax2.plot(x, -y)
+
+# %%
+# To obtain side-by-side subplots, pass parameters ``1, 2`` for one row and two
+# columns.
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+fig.suptitle('Horizontally stacked subplots')
+ax1.plot(x, y)
+ax2.plot(x, -y)
+
+# %%
+# Stacking subplots in two directions
+# """""""""""""""""""""""""""""""""""
+#
+# When stacking in two directions, the returned ``axs`` is a 2D NumPy array.
+#
+# If you have to set parameters for each subplot it's handy to iterate over
+# all subplots in a 2D grid using ``for ax in axs.flat:``.
+
+fig, axs = plt.subplots(2, 2)
+axs[0, 0].plot(x, y)
+axs[0, 0].set_title('Axis [0, 0]')
+axs[0, 1].plot(x, y, 'tab:orange')
+axs[0, 1].set_title('Axis [0, 1]')
+axs[1, 0].plot(x, -y, 'tab:green')
+axs[1, 0].set_title('Axis [1, 0]')
+axs[1, 1].plot(x, -y, 'tab:red')
+axs[1, 1].set_title('Axis [1, 1]')
+
+for ax in axs.flat:
+    ax.set(xlabel='x-label', ylabel='y-label')
+
+# Hide x labels and tick labels for top plots and y ticks for right plots.
+for ax in axs.flat:
+    ax.label_outer()
+
+# %%
+# You can use tuple-unpacking also in 2D to assign all subplots to dedicated
+# variables:
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+fig.suptitle('Sharing x per column, y per row')
+ax1.plot(x, y)
+ax2.plot(x, y**2, 'tab:orange')
+ax3.plot(x, -y, 'tab:green')
+ax4.plot(x, -y**2, 'tab:red')
+
+for ax in fig.get_axes():
+    ax.label_outer()
+
+# %%
+# Sharing axes
+# """"""""""""
+#
+# By default, each Axes is scaled individually. Thus, if the ranges are
+# different the tick values of the subplots do not align.
+
+fig, (ax1, ax2) = plt.subplots(2)
+fig.suptitle('Axes values are scaled individually by default')
+ax1.plot(x, y)
+ax2.plot(x + 1, -y)
+
+# %%
+# You can use *sharex* or *sharey* to align the horizontal or vertical axis.
+
+fig, (ax1, ax2) = plt.subplots(2, sharex=True)
+fig.suptitle('Aligning x-axis using sharex')
+ax1.plot(x, y)
+ax2.plot(x + 1, -y)
+
+# %%
+# Setting *sharex* or *sharey* to ``True`` enables global sharing across the
+# whole grid, i.e. also the y-axes of vertically stacked subplots have the
+# same scale when using ``sharey=True``.
+
+fig, axs = plt.subplots(3, sharex=True, sharey=True)
+fig.suptitle('Sharing both axes')
+axs[0].plot(x, y ** 2)
+axs[1].plot(x, 0.3 * y, 'o')
+axs[2].plot(x, y, '+')
+
+# %%
+# For subplots that are sharing axes one set of tick labels is enough. Tick
+# labels of inner Axes are automatically removed by *sharex* and *sharey*.
+# Still there remains an unused empty space between the subplots.
+#
+# To precisely control the positioning of the subplots, one can explicitly
+# create a `.GridSpec` with `.Figure.add_gridspec`, and then call its
+# `~.GridSpecBase.subplots` method.  For example, we can reduce the height
+# between vertical subplots using ``add_gridspec(hspace=0)``.
+#
+# `.label_outer` is a handy method to remove labels and ticks from subplots
+# that are not at the edge of the grid.
+
+fig = plt.figure()
+gs = fig.add_gridspec(3, hspace=0)
+axs = gs.subplots(sharex=True, sharey=True)
+fig.suptitle('Sharing both axes')
+axs[0].plot(x, y ** 2)
+axs[1].plot(x, 0.3 * y, 'o')
+axs[2].plot(x, y, '+')
+
+# Hide x labels and tick labels for all but bottom plot.
+for ax in axs:
+    ax.label_outer()
+
+# %%
+# Apart from ``True`` and ``False``, both *sharex* and *sharey* accept the
+# values 'row' and 'col' to share the values only per row or column.
+
+fig = plt.figure()
+gs = fig.add_gridspec(2, 2, hspace=0, wspace=0)
+(ax1, ax2), (ax3, ax4) = gs.subplots(sharex='col', sharey='row')
+fig.suptitle('Sharing x per column, y per row')
+ax1.plot(x, y)
+ax2.plot(x, y**2, 'tab:orange')
+ax3.plot(x + 1, -y, 'tab:green')
+ax4.plot(x + 2, -y**2, 'tab:red')
+
+for ax in fig.get_axes():
+    ax.label_outer()
+
+# %%
+# If you want a more complex sharing structure, you can first create the
+# grid of Axes with no sharing, and then call `.axes.Axes.sharex` or
+# `.axes.Axes.sharey` to add sharing info a posteriori.
+
+fig, axs = plt.subplots(2, 2)
+axs[0, 0].plot(x, y)
+axs[0, 0].set_title("main")
+axs[1, 0].plot(x, y**2)
+axs[1, 0].set_title("shares x with main")
+axs[1, 0].sharex(axs[0, 0])
+axs[0, 1].plot(x + 1, y + 1)
+axs[0, 1].set_title("unrelated")
+axs[1, 1].plot(x + 2, y + 2)
+axs[1, 1].set_title("also unrelated")
+fig.tight_layout()
+
+# %%
+# Polar Axes
+# """"""""""
+#
+# The parameter *subplot_kw* of `.pyplot.subplots` controls the subplot
+# properties (see also `.Figure.add_subplot`). In particular, this can be used
+# to create a grid of polar Axes.
+
+fig, (ax1, ax2) = plt.subplots(1, 2, subplot_kw=dict(projection='polar'))
+ax1.plot(x, y)
+ax2.plot(x, y ** 2)
+
+plt.show()
+
+# %%
+# .. tags::
+#
+#    component: subplot,
+#    component: axes,
+#    component: axis
+#    plot-type: line,
+#    plot-type: polar
+#    level: beginner
+#    purpose: showcase
diff --git a/galleries/examples/subplots_axes_and_figures/two_scales.py b/galleries/examples/subplots_axes_and_figures/two_scales.py
new file mode 100644
index 000000000000..882fcac7866e
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/two_scales.py
@@ -0,0 +1,57 @@
+"""
+===========================
+Plots with different scales
+===========================
+
+Two plots on the same Axes with different left and right scales.
+
+The trick is to use *two different Axes* that share the same *x* axis.
+You can use separate `matplotlib.ticker` formatters and locators as
+desired since the two Axes are independent.
+
+Such Axes are generated by calling the `.Axes.twinx` method. Likewise,
+`.Axes.twiny` is available to generate Axes that share a *y* axis but
+have different top and bottom scales.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create some mock data
+t = np.arange(0.01, 10.0, 0.01)
+data1 = np.exp(t)
+data2 = np.sin(2 * np.pi * t)
+
+fig, ax1 = plt.subplots()
+
+color = 'tab:red'
+ax1.set_xlabel('time (s)')
+ax1.set_ylabel('exp', color=color)
+ax1.plot(t, data1, color=color)
+ax1.tick_params(axis='y', labelcolor=color)
+
+ax2 = ax1.twinx()  # instantiate a second Axes that shares the same x-axis
+
+color = 'tab:blue'
+ax2.set_ylabel('sin', color=color)  # we already handled the x-label with ax1
+ax2.plot(t, data2, color=color)
+ax2.tick_params(axis='y', labelcolor=color)
+
+fig.tight_layout()  # otherwise the right y-label is slightly clipped
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.twinx` / `matplotlib.pyplot.twinx`
+#    - `matplotlib.axes.Axes.twiny` / `matplotlib.pyplot.twiny`
+#    - `matplotlib.axes.Axes.tick_params` / `matplotlib.pyplot.tick_params`
+#
+# .. tags::
+#
+#    component: axes
+#    plot-type: line
+#    level: beginner
diff --git a/galleries/examples/subplots_axes_and_figures/zoom_inset_axes.py b/galleries/examples/subplots_axes_and_figures/zoom_inset_axes.py
new file mode 100644
index 000000000000..4453b3ec39f1
--- /dev/null
+++ b/galleries/examples/subplots_axes_and_figures/zoom_inset_axes.py
@@ -0,0 +1,51 @@
+"""
+======================
+Zoom region inset Axes
+======================
+
+Example of an inset Axes and a rectangle showing where the zoom is located.
+"""
+
+import numpy as np
+
+from matplotlib import cbook
+from matplotlib import pyplot as plt
+
+fig, ax = plt.subplots()
+
+# make data
+Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
+Z2 = np.zeros((150, 150))
+ny, nx = Z.shape
+Z2[30:30+ny, 30:30+nx] = Z
+extent = (-3, 4, -4, 3)
+
+ax.imshow(Z2, extent=extent, origin="lower")
+
+# inset Axes....
+x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9  # subregion of the original image
+axins = ax.inset_axes(
+    [0.5, 0.5, 0.47, 0.47],
+    xlim=(x1, x2), ylim=(y1, y2), xticklabels=[], yticklabels=[])
+axins.imshow(Z2, extent=extent, origin="lower")
+
+ax.indicate_inset_zoom(axins, edgecolor="black")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.inset_axes`
+#    - `matplotlib.axes.Axes.indicate_inset_zoom`
+#    - `matplotlib.axes.Axes.imshow`
+#
+# .. tags::
+#
+#    component: axes
+#    plot-type: imshow
+#    level: intermediate
diff --git a/galleries/examples/text_labels_and_annotations/README.txt b/galleries/examples/text_labels_and_annotations/README.txt
new file mode 100644
index 000000000000..565fd8915c86
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/README.txt
@@ -0,0 +1,4 @@
+.. _text_labels_and_annotations:
+
+Text, labels and annotations
+============================
diff --git a/galleries/examples/text_labels_and_annotations/accented_text.py b/galleries/examples/text_labels_and_annotations/accented_text.py
new file mode 100644
index 000000000000..7ff080afefd9
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/accented_text.py
@@ -0,0 +1,36 @@
+r"""
+=============
+Accented text
+=============
+
+Matplotlib supports accented characters via TeX mathtext or Unicode.
+
+Using mathtext, the following accents are provided: \\hat, \\breve, \\grave,
+\\bar, \\acute, \\tilde, \\vec, \\dot, \\ddot.  All of them have the same
+syntax, e.g. \\bar{o} yields "o overbar", \\ddot{o} yields "o umlaut".
+Shortcuts such as \\"o \\'e \\`e \\~n \\.x \\^y are also supported.
+"""
+
+import matplotlib.pyplot as plt
+
+# Mathtext demo
+fig, ax = plt.subplots()
+ax.plot(range(10))
+ax.set_title(r'$\ddot{o}\acute{e}\grave{e}\hat{O}'
+             r'\breve{i}\bar{A}\tilde{n}\vec{q}$', fontsize=20)
+
+# Shorthand is also supported and curly braces are optional
+ax.set_xlabel(r"""$\"o\ddot o \'e\`e\~n\.x\^y$""", fontsize=20)
+ax.text(4, 0.5, r"$F=m\ddot{x}$")
+fig.tight_layout()
+
+# %%
+# You can also use Unicode characters directly in strings.
+fig, ax = plt.subplots()
+ax.set_title("GISCARD CHAHUTÉ À L'ASSEMBLÉE")
+ax.set_xlabel("LE COUP DE DÉ DE DE GAULLE")
+ax.set_ylabel('André was here!')
+ax.text(0.2, 0.8, 'Institut für Festkörperphysik', rotation=45)
+ax.text(0.4, 0.2, 'AVA (check kerning)')
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/angle_annotation.py b/galleries/examples/text_labels_and_annotations/angle_annotation.py
new file mode 100644
index 000000000000..178f54863477
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/angle_annotation.py
@@ -0,0 +1,326 @@
+"""
+===========================
+Scale invariant angle label
+===========================
+
+This example shows how to create a scale invariant angle annotation. It is
+often useful to mark angles between lines or inside shapes with a circular arc.
+While Matplotlib provides an `~.patches.Arc`, an inherent problem when directly
+using it for such purposes is that an arc being circular in data space is not
+necessarily circular in display space. Also, the arc's radius is often best
+defined in a coordinate system which is independent of the actual data
+coordinates - at least if you want to be able to freely zoom into your plot
+without the annotation growing to infinity.
+
+This calls for a solution where the arc's center is defined in data space, but
+its radius in a physical unit like points or pixels, or as a ratio of the Axes
+dimension. The following ``AngleAnnotation`` class provides such solution.
+
+The example below serves two purposes:
+
+* It provides a ready-to-use solution for the problem of easily drawing angles
+  in graphs.
+* It shows how to subclass a Matplotlib artist to enhance its functionality, as
+  well as giving a hands-on example on how to use Matplotlib's :ref:`transform
+  system <transforms_tutorial>`.
+
+If mainly interested in the former, you may copy the below class and jump to
+the :ref:`angle-annotation-usage` section.
+"""
+
+# %%
+# AngleAnnotation class
+# ---------------------
+# The essential idea here is to subclass `~.patches.Arc` and set its transform
+# to the `~.transforms.IdentityTransform`, making the parameters of the arc
+# defined in pixel space.
+# We then override the ``Arc``'s attributes ``_center``, ``theta1``,
+# ``theta2``, ``width`` and ``height`` and make them properties, coupling to
+# internal methods that calculate the respective parameters each time the
+# attribute is accessed and thereby ensuring that the arc in pixel space stays
+# synchronized with the input points and size.
+# For example, each time the arc's drawing method would query its ``_center``
+# attribute, instead of receiving the same number all over again, it will
+# instead receive the result of the ``get_center_in_pixels`` method we defined
+# in the subclass. This method transforms the center in data coordinates to
+# pixels via the Axes transform ``ax.transData``. The size and the angles are
+# calculated in a similar fashion, such that the arc changes its shape
+# automatically when e.g. zooming or panning interactively.
+#
+# The functionality of this class allows to annotate the arc with a text. This
+# text is a `~.text.Annotation` stored in an attribute ``text``. Since the
+# arc's position and radius are defined only at draw time, we need to update
+# the text's position accordingly. This is done by reimplementing the ``Arc``'s
+# ``draw()`` method to let it call an updating method for the text.
+#
+# The arc and the text will be added to the provided Axes at instantiation: it
+# is hence not strictly necessary to keep a reference to it.
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Arc
+from matplotlib.transforms import Bbox, IdentityTransform, TransformedBbox
+
+
+class AngleAnnotation(Arc):
+    """
+    Draws an arc between two vectors which appears circular in display space.
+    """
+    def __init__(self, xy, p1, p2, size=75, unit="points", ax=None,
+                 text="", textposition="inside", text_kw=None, **kwargs):
+        """
+        Parameters
+        ----------
+        xy, p1, p2 : tuple or array of two floats
+            Center position and two points. Angle annotation is drawn between
+            the two vectors connecting *p1* and *p2* with *xy*, respectively.
+            Units are data coordinates.
+
+        size : float
+            Diameter of the angle annotation in units specified by *unit*.
+
+        unit : str
+            One of the following strings to specify the unit of *size*:
+
+            * "pixels": pixels
+            * "points": points, use points instead of pixels to not have a
+              dependence on the DPI
+            * "axes width", "axes height": relative units of Axes width, height
+            * "axes min", "axes max": minimum or maximum of relative Axes
+              width, height
+
+        ax : `matplotlib.axes.Axes`
+            The Axes to add the angle annotation to.
+
+        text : str
+            The text to mark the angle with.
+
+        textposition : {"inside", "outside", "edge"}
+            Whether to show the text in- or outside the arc. "edge" can be used
+            for custom positions anchored at the arc's edge.
+
+        text_kw : dict
+            Dictionary of arguments passed to the Annotation.
+
+        **kwargs
+            Further parameters are passed to `matplotlib.patches.Arc`. Use this
+            to specify, color, linewidth etc. of the arc.
+
+        """
+        self.ax = ax or plt.gca()
+        self._xydata = xy  # in data coordinates
+        self.vec1 = p1
+        self.vec2 = p2
+        self.size = size
+        self.unit = unit
+        self.textposition = textposition
+
+        super().__init__(self._xydata, size, size, angle=0.0,
+                         theta1=self.theta1, theta2=self.theta2, **kwargs)
+
+        self.set_transform(IdentityTransform())
+        self.ax.add_patch(self)
+
+        self.kw = dict(ha="center", va="center",
+                       xycoords=IdentityTransform(),
+                       xytext=(0, 0), textcoords="offset points",
+                       annotation_clip=True)
+        self.kw.update(text_kw or {})
+        self.text = ax.annotate(text, xy=self._center, **self.kw)
+
+    def get_size(self):
+        factor = 1.
+        if self.unit == "points":
+            factor = self.ax.figure.dpi / 72.
+        elif self.unit[:4] == "axes":
+            b = TransformedBbox(Bbox.unit(), self.ax.transAxes)
+            dic = {"max": max(b.width, b.height),
+                   "min": min(b.width, b.height),
+                   "width": b.width, "height": b.height}
+            factor = dic[self.unit[5:]]
+        return self.size * factor
+
+    def set_size(self, size):
+        self.size = size
+
+    def get_center_in_pixels(self):
+        """return center in pixels"""
+        return self.ax.transData.transform(self._xydata)
+
+    def set_center(self, xy):
+        """set center in data coordinates"""
+        self._xydata = xy
+
+    def get_theta(self, vec):
+        vec_in_pixels = self.ax.transData.transform(vec) - self._center
+        return np.rad2deg(np.arctan2(vec_in_pixels[1], vec_in_pixels[0]))
+
+    def get_theta1(self):
+        return self.get_theta(self.vec1)
+
+    def get_theta2(self):
+        return self.get_theta(self.vec2)
+
+    def set_theta(self, angle):
+        pass
+
+    # Redefine attributes of the Arc to always give values in pixel space
+    _center = property(get_center_in_pixels, set_center)
+    theta1 = property(get_theta1, set_theta)
+    theta2 = property(get_theta2, set_theta)
+    width = property(get_size, set_size)
+    height = property(get_size, set_size)
+
+    # The following two methods are needed to update the text position.
+    def draw(self, renderer):
+        self.update_text()
+        super().draw(renderer)
+
+    def update_text(self):
+        c = self._center
+        s = self.get_size()
+        angle_span = (self.theta2 - self.theta1) % 360
+        angle = np.deg2rad(self.theta1 + angle_span / 2)
+        r = s / 2
+        if self.textposition == "inside":
+            r = s / np.interp(angle_span, [60, 90, 135, 180],
+                                          [3.3, 3.5, 3.8, 4])
+        self.text.xy = c + r * np.array([np.cos(angle), np.sin(angle)])
+        if self.textposition == "outside":
+            def R90(a, r, w, h):
+                if a < np.arctan(h/2/(r+w/2)):
+                    return np.sqrt((r+w/2)**2 + (np.tan(a)*(r+w/2))**2)
+                else:
+                    c = np.sqrt((w/2)**2+(h/2)**2)
+                    T = np.arcsin(c * np.cos(np.pi/2 - a + np.arcsin(h/2/c))/r)
+                    xy = r * np.array([np.cos(a + T), np.sin(a + T)])
+                    xy += np.array([w/2, h/2])
+                    return np.sqrt(np.sum(xy**2))
+
+            def R(a, r, w, h):
+                aa = (a % (np.pi/4))*((a % (np.pi/2)) <= np.pi/4) + \
+                     (np.pi/4 - (a % (np.pi/4)))*((a % (np.pi/2)) >= np.pi/4)
+                return R90(aa, r, *[w, h][::int(np.sign(np.cos(2*a)))])
+
+            bbox = self.text.get_window_extent()
+            X = R(angle, r, bbox.width, bbox.height)
+            trans = self.ax.figure.dpi_scale_trans.inverted()
+            offs = trans.transform(((X-s/2), 0))[0] * 72
+            self.text.set_position([offs*np.cos(angle), offs*np.sin(angle)])
+
+
+# %%
+# .. _angle-annotation-usage:
+#
+# Usage
+# -----
+#
+# Required arguments to ``AngleAnnotation`` are the center of the arc, *xy*,
+# and two points, such that the arc spans between the two vectors connecting
+# *p1* and *p2* with *xy*, respectively. Those are given in data coordinates.
+# Further arguments are the *size* of the arc and its *unit*. Additionally, a
+# *text* can be specified, that will be drawn either in- or outside of the arc,
+# according to the value of *textposition*. Usage of those arguments is shown
+# below.
+
+fig, ax = plt.subplots()
+fig.canvas.draw()  # Need to draw the figure to define renderer
+ax.set_title("AngleLabel example")
+
+# Plot two crossing lines and label each angle between them with the above
+# ``AngleAnnotation`` tool.
+center = (4.5, 650)
+p1 = [(2.5, 710), (6.0, 605)]
+p2 = [(3.0, 275), (5.5, 900)]
+line1, = ax.plot(*zip(*p1))
+line2, = ax.plot(*zip(*p2))
+point, = ax.plot(*center, marker="o")
+
+am1 = AngleAnnotation(center, p1[1], p2[1], ax=ax, size=75, text=r"$\alpha$")
+am2 = AngleAnnotation(center, p2[1], p1[0], ax=ax, size=35, text=r"$\beta$")
+am3 = AngleAnnotation(center, p1[0], p2[0], ax=ax, size=75, text=r"$\gamma$")
+am4 = AngleAnnotation(center, p2[0], p1[1], ax=ax, size=35, text=r"$\theta$")
+
+
+# Showcase some styling options for the angle arc, as well as the text.
+p = [(6.0, 400), (5.3, 410), (5.6, 300)]
+ax.plot(*zip(*p))
+am5 = AngleAnnotation(p[1], p[0], p[2], ax=ax, size=40, text=r"$\Phi$",
+                      linestyle="--", color="gray", textposition="outside",
+                      text_kw=dict(fontsize=16, color="gray"))
+
+
+# %%
+# ``AngleLabel`` options
+# ----------------------
+#
+# The *textposition* and *unit* keyword arguments may be used to modify the
+# location of the text label, as shown below:
+
+
+# Helper function to draw angle easily.
+def plot_angle(ax, pos, angle, length=0.95, acol="C0", **kwargs):
+    vec2 = np.array([np.cos(np.deg2rad(angle)), np.sin(np.deg2rad(angle))])
+    xy = np.c_[[length, 0], [0, 0], vec2*length].T + np.array(pos)
+    ax.plot(*xy.T, color=acol)
+    return AngleAnnotation(pos, xy[0], xy[2], ax=ax, **kwargs)
+
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True)
+fig.suptitle("AngleLabel keyword arguments")
+fig.canvas.draw()  # Need to draw the figure to define renderer
+
+# Showcase different text positions.
+ax1.margins(y=0.4)
+ax1.set_title("textposition")
+kw = dict(size=75, unit="points", text=r"$60°$")
+
+am6 = plot_angle(ax1, (2.0, 0), 60, textposition="inside", **kw)
+am7 = plot_angle(ax1, (3.5, 0), 60, textposition="outside", **kw)
+am8 = plot_angle(ax1, (5.0, 0), 60, textposition="edge",
+                 text_kw=dict(bbox=dict(boxstyle="round", fc="w")), **kw)
+am9 = plot_angle(ax1, (6.5, 0), 60, textposition="edge",
+                 text_kw=dict(xytext=(30, 20), arrowprops=dict(arrowstyle="->",
+                              connectionstyle="arc3,rad=-0.2")), **kw)
+
+for x, text in zip([2.0, 3.5, 5.0, 6.5], ['"inside"', '"outside"', '"edge"',
+                                          '"edge", custom arrow']):
+    ax1.annotate(text, xy=(x, 0), xycoords=ax1.get_xaxis_transform(),
+                 bbox=dict(boxstyle="round", fc="w"), ha="left", fontsize=8,
+                 annotation_clip=True)
+
+# Showcase different size units. The effect of this can best be observed
+# by interactively changing the figure size
+ax2.margins(y=0.4)
+ax2.set_title("unit")
+kw = dict(text=r"$60°$", textposition="outside")
+
+am10 = plot_angle(ax2, (2.0, 0), 60, size=50, unit="pixels", **kw)
+am11 = plot_angle(ax2, (3.5, 0), 60, size=50, unit="points", **kw)
+am12 = plot_angle(ax2, (5.0, 0), 60, size=0.25, unit="axes min", **kw)
+am13 = plot_angle(ax2, (6.5, 0), 60, size=0.25, unit="axes max", **kw)
+
+for x, text in zip([2.0, 3.5, 5.0, 6.5], ['"pixels"', '"points"',
+                                          '"axes min"', '"axes max"']):
+    ax2.annotate(text, xy=(x, 0), xycoords=ax2.get_xaxis_transform(),
+                 bbox=dict(boxstyle="round", fc="w"), ha="left", fontsize=8,
+                 annotation_clip=True)
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches.Arc`
+#    - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`
+#    - `matplotlib.text.Annotation`
+#    - `matplotlib.transforms.IdentityTransform`
+#    - `matplotlib.transforms.TransformedBbox`
+#    - `matplotlib.transforms.Bbox`
diff --git a/galleries/examples/text_labels_and_annotations/angles_on_bracket_arrows.py b/galleries/examples/text_labels_and_annotations/angles_on_bracket_arrows.py
new file mode 100644
index 000000000000..a23c7adc3897
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/angles_on_bracket_arrows.py
@@ -0,0 +1,67 @@
+"""
+===================================
+Angle annotations on bracket arrows
+===================================
+
+This example shows how to add angle annotations to bracket arrow styles
+created using `.FancyArrowPatch`. *angleA* and *angleB* are measured from a
+vertical line as positive (to the left) or negative (to the right). Blue
+`.FancyArrowPatch` arrows indicate the directions of *angleA* and *angleB*
+from the vertical and axes text annotate the angle sizes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import FancyArrowPatch
+
+
+def get_point_of_rotated_vertical(origin, line_length, degrees):
+    """Return xy coordinates of the vertical line end rotated by degrees."""
+    rad = np.deg2rad(-degrees)
+    return [origin[0] + line_length * np.sin(rad),
+            origin[1] + line_length * np.cos(rad)]
+
+
+fig, ax = plt.subplots()
+ax.set(xlim=(0, 6), ylim=(-1, 5))
+ax.set_title("Orientation of the bracket arrows relative to angleA and angleB")
+
+style = ']-['
+for i, angle in enumerate([-40, 0, 60]):
+    y = 2*i
+    arrow_centers = ((1, y), (5, y))
+    vlines = ((1, y + 0.5), (5, y + 0.5))
+    anglesAB = (angle, -angle)
+    bracketstyle = f"{style}, angleA={anglesAB[0]}, angleB={anglesAB[1]}"
+    bracket = FancyArrowPatch(*arrow_centers, arrowstyle=bracketstyle,
+                              mutation_scale=42)
+    ax.add_patch(bracket)
+    ax.text(3, y + 0.05, bracketstyle, ha="center", va="bottom", fontsize=14)
+    ax.vlines([line[0] for line in vlines], [y, y], [line[1] for line in vlines],
+              linestyles="--", color="C0")
+    # Get the top coordinates for the drawn patches at A and B
+    patch_tops = [get_point_of_rotated_vertical(center, 0.5, angle)
+                  for center, angle in zip(arrow_centers, anglesAB)]
+    # Define the connection directions for the annotation arrows
+    connection_dirs = (1, -1) if angle > 0 else (-1, 1)
+    # Add arrows and annotation text
+    arrowstyle = "Simple, tail_width=0.5, head_width=4, head_length=8"
+    for vline, dir, patch_top, angle in zip(vlines, connection_dirs,
+                                            patch_tops, anglesAB):
+        kw = dict(connectionstyle=f"arc3,rad={dir * 0.5}",
+                  arrowstyle=arrowstyle, color="C0")
+        ax.add_patch(FancyArrowPatch(vline, patch_top, **kw))
+        ax.text(vline[0] - dir * 0.15, y + 0.7, f'{angle}°', ha="center",
+                va="center")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches.ArrowStyle`
diff --git a/galleries/examples/text_labels_and_annotations/annotate_transform.py b/galleries/examples/text_labels_and_annotations/annotate_transform.py
new file mode 100644
index 000000000000..e7d4e11d9d38
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/annotate_transform.py
@@ -0,0 +1,54 @@
+"""
+==================
+Annotate transform
+==================
+
+This example shows how to use different coordinate systems for annotations.
+For a complete overview of the annotation capabilities, also see the
+:ref:`annotation tutorial<annotations>`.
+
+.. redirect-from:: /gallery/pyplots/annotate_transform
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(0, 10, 0.005)
+y = np.exp(-x/2.) * np.sin(2*np.pi*x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_xlim(0, 10)
+ax.set_ylim(-1, 1)
+
+xdata, ydata = 5, 0
+xdisplay, ydisplay = ax.transData.transform((xdata, ydata))
+
+bbox = dict(boxstyle="round", fc="0.8")
+arrowprops = dict(
+    arrowstyle="->",
+    connectionstyle="angle,angleA=0,angleB=90,rad=10")
+
+offset = 72
+ax.annotate(
+    f'data = ({xdata:.1f}, {ydata:.1f})',
+    (xdata, ydata),
+    xytext=(-2*offset, offset), textcoords='offset points',
+    bbox=bbox, arrowprops=arrowprops)
+ax.annotate(
+    f'display = ({xdisplay:.1f}, {ydisplay:.1f})',
+    xy=(xdisplay, ydisplay), xycoords='figure pixels',
+    xytext=(0.5*offset, -offset), textcoords='offset points',
+    bbox=bbox, arrowprops=arrowprops)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.transforms.Transform.transform`
+#    - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/annotation_basic.py b/galleries/examples/text_labels_and_annotations/annotation_basic.py
new file mode 100644
index 000000000000..45211558ec44
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/annotation_basic.py
@@ -0,0 +1,36 @@
+"""
+=================
+Annotating a plot
+=================
+
+This example shows how to annotate a plot with an arrow pointing to provided
+coordinates. We modify the defaults of the arrow, to "shrink" it.
+
+For a complete overview of the annotation capabilities, also see the
+:ref:`annotation tutorial<annotations>`.
+
+.. redirect-from:: /gallery/pyplots/annotation_basic
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots()
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = ax.plot(t, s, lw=2)
+
+ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            )
+ax.set_ylim(-2, 2)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/annotation_demo.py b/galleries/examples/text_labels_and_annotations/annotation_demo.py
new file mode 100644
index 000000000000..562948bcc512
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/annotation_demo.py
@@ -0,0 +1,388 @@
+"""
+==============
+Annotate plots
+==============
+
+The following examples show ways to annotate plots in Matplotlib.
+This includes highlighting specific points of interest and using various
+visual tools to call attention to this point. For a more complete and in-depth
+description of the annotation and text tools in Matplotlib, see the
+:ref:`tutorial on annotation <annotations>`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Ellipse
+from matplotlib.text import OffsetFrom
+
+# %%
+# Specifying text points and annotation points
+# --------------------------------------------
+#
+# You must specify an annotation point ``xy=(x, y)`` to annotate this point.
+# Additionally, you may specify a text point ``xytext=(x, y)`` for the location
+# of the text for this annotation.  Optionally, you can specify the coordinate
+# system of *xy* and *xytext* with one of the following strings for *xycoords*
+# and *textcoords* (default is 'data')::
+#
+#  'figure points'   : points from the lower left corner of the figure
+#  'figure pixels'   : pixels from the lower left corner of the figure
+#  'figure fraction' : (0, 0) is lower left of figure and (1, 1) is upper right
+#  'axes points'     : points from lower left corner of the Axes
+#  'axes pixels'     : pixels from lower left corner of the Axes
+#  'axes fraction'   : (0, 0) is lower left of Axes and (1, 1) is upper right
+#  'offset points'   : Specify an offset (in points) from the xy value
+#  'offset pixels'   : Specify an offset (in pixels) from the xy value
+#  'data'            : use the Axes data coordinate system
+#
+# Note: for physical coordinate systems (points or pixels) the origin is the
+# (bottom, left) of the figure or Axes.
+#
+# Optionally, you can specify arrow properties which draws and arrow
+# from the text to the annotated point by giving a dictionary of arrow
+# properties
+#
+# Valid keys are::
+#
+#   width : the width of the arrow in points
+#   frac  : the fraction of the arrow length occupied by the head
+#   headwidth : the width of the base of the arrow head in points
+#   shrink : move the tip and base some percent away from the
+#            annotated point and text
+#   any key for matplotlib.patches.polygon  (e.g., facecolor)
+
+# Create our figure and data we'll use for plotting
+fig, ax = plt.subplots(figsize=(4, 4))
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+
+# Plot a line and add some simple annotations
+line, = ax.plot(t, s)
+ax.annotate('figure pixels',
+            xy=(10, 10), xycoords='figure pixels')
+ax.annotate('figure points',
+            xy=(107, 110), xycoords='figure points',
+            fontsize=12)
+ax.annotate('figure fraction',
+            xy=(.025, .975), xycoords='figure fraction',
+            horizontalalignment='left', verticalalignment='top',
+            fontsize=20)
+
+# The following examples show off how these arrows are drawn.
+
+ax.annotate('point offset from data',
+            xy=(3, 1), xycoords='data',
+            xytext=(-10, 90), textcoords='offset points',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='center', verticalalignment='bottom')
+
+ax.annotate('axes fraction',
+            xy=(2, 1), xycoords='data',
+            xytext=(0.36, 0.68), textcoords='axes fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='right', verticalalignment='top')
+
+# You may also use negative points or pixels to specify from (right, top).
+# E.g., (-10, 10) is 10 points to the left of the right side of the Axes and 10
+# points above the bottom
+
+ax.annotate('pixel offset from axes fraction',
+            xy=(1, 0), xycoords='axes fraction',
+            xytext=(-20, 20), textcoords='offset pixels',
+            horizontalalignment='right',
+            verticalalignment='bottom')
+
+ax.set(xlim=(-1, 5), ylim=(-3, 5))
+
+
+# %%
+# Using multiple coordinate systems and axis types
+# ------------------------------------------------
+#
+# You can specify the *xypoint* and the *xytext* in different positions and
+# coordinate systems, and optionally turn on a connecting line and mark the
+# point with a marker.  Annotations work on polar Axes too.
+#
+# In the example below, the *xy* point is in native coordinates (*xycoords*
+# defaults to 'data').  For a polar Axes, this is in (theta, radius) space.
+# The text in the example is placed in the fractional figure coordinate system.
+# Text keyword arguments like horizontal and vertical alignment are respected.
+
+fig, ax = plt.subplots(subplot_kw=dict(projection='polar'), figsize=(3, 3))
+r = np.arange(0, 1, 0.001)
+theta = 2*2*np.pi*r
+line, = ax.plot(theta, r)
+
+ind = 800
+thisr, thistheta = r[ind], theta[ind]
+ax.plot([thistheta], [thisr], 'o')
+ax.annotate('a polar annotation',
+            xy=(thistheta, thisr),  # theta, radius
+            xytext=(0.05, 0.05),    # fraction, fraction
+            textcoords='figure fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='left',
+            verticalalignment='bottom')
+
+# %%
+# You can also use polar notation on a cartesian Axes.  Here the native
+# coordinate system ('data') is cartesian, so you need to specify the
+# xycoords and textcoords as 'polar' if you want to use (theta, radius).
+
+el = Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)
+
+fig, ax = plt.subplots(subplot_kw=dict(aspect='equal'))
+ax.add_artist(el)
+el.set_clip_box(ax.bbox)
+ax.annotate('the top',
+            xy=(np.pi/2., 10.),      # theta, radius
+            xytext=(np.pi/3, 20.),   # theta, radius
+            xycoords='polar',
+            textcoords='polar',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='left',
+            verticalalignment='bottom',
+            clip_on=True)  # clip to the Axes bounding box
+
+ax.set(xlim=[-20, 20], ylim=[-20, 20])
+
+
+# %%
+# Customizing arrow and bubble styles
+# -----------------------------------
+#
+# The arrow between *xytext* and the annotation point, as well as the bubble
+# that covers the annotation text, are highly customizable. Below are a few
+# parameter options as well as their resulting output.
+
+fig, ax = plt.subplots(figsize=(8, 5))
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = ax.plot(t, s, lw=3)
+
+ax.annotate(
+    'straight',
+    xy=(0, 1), xycoords='data',
+    xytext=(-50, 30), textcoords='offset points',
+    arrowprops=dict(arrowstyle="->"))
+ax.annotate(
+    'arc3,\nrad 0.2',
+    xy=(0.5, -1), xycoords='data',
+    xytext=(-80, -60), textcoords='offset points',
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="arc3,rad=.2"))
+ax.annotate(
+    'arc,\nangle 50',
+    xy=(1., 1), xycoords='data',
+    xytext=(-90, 50), textcoords='offset points',
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="arc,angleA=0,armA=50,rad=10"))
+ax.annotate(
+    'arc,\narms',
+    xy=(1.5, -1), xycoords='data',
+    xytext=(-80, -60), textcoords='offset points',
+    arrowprops=dict(
+        arrowstyle="->",
+        connectionstyle="arc,angleA=0,armA=40,angleB=-90,armB=30,rad=7"))
+ax.annotate(
+    'angle,\nangle 90',
+    xy=(2., 1), xycoords='data',
+    xytext=(-70, 30), textcoords='offset points',
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="angle,angleA=0,angleB=90,rad=10"))
+ax.annotate(
+    'angle3,\nangle -90',
+    xy=(2.5, -1), xycoords='data',
+    xytext=(-80, -60), textcoords='offset points',
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="angle3,angleA=0,angleB=-90"))
+ax.annotate(
+    'angle,\nround',
+    xy=(3., 1), xycoords='data',
+    xytext=(-60, 30), textcoords='offset points',
+    bbox=dict(boxstyle="round", fc="0.8"),
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="angle,angleA=0,angleB=90,rad=10"))
+ax.annotate(
+    'angle,\nround4',
+    xy=(3.5, -1), xycoords='data',
+    xytext=(-70, -80), textcoords='offset points',
+    size=20,
+    bbox=dict(boxstyle="round4,pad=.5", fc="0.8"),
+    arrowprops=dict(arrowstyle="->",
+                    connectionstyle="angle,angleA=0,angleB=-90,rad=10"))
+ax.annotate(
+    'angle,\nshrink',
+    xy=(4., 1), xycoords='data',
+    xytext=(-60, 30), textcoords='offset points',
+    bbox=dict(boxstyle="round", fc="0.8"),
+    arrowprops=dict(arrowstyle="->",
+                    shrinkA=0, shrinkB=10,
+                    connectionstyle="angle,angleA=0,angleB=90,rad=10"))
+# You can pass an empty string to get only annotation arrows rendered
+ax.annotate('', xy=(4., 1.), xycoords='data',
+            xytext=(4.5, -1), textcoords='data',
+            arrowprops=dict(arrowstyle="<->",
+                            connectionstyle="bar",
+                            ec="k",
+                            shrinkA=5, shrinkB=5))
+
+ax.set(xlim=(-1, 5), ylim=(-4, 3))
+
+# %%
+# We'll create another figure so that it doesn't get too cluttered
+fig, ax = plt.subplots()
+
+el = Ellipse((2, -1), 0.5, 0.5)
+ax.add_patch(el)
+
+ax.annotate('$->$',
+            xy=(2., -1), xycoords='data',
+            xytext=(-150, -140), textcoords='offset points',
+            bbox=dict(boxstyle="round", fc="0.8"),
+            arrowprops=dict(arrowstyle="->",
+                            patchB=el,
+                            connectionstyle="angle,angleA=90,angleB=0,rad=10"))
+ax.annotate('arrow\nfancy',
+            xy=(2., -1), xycoords='data',
+            xytext=(-100, 60), textcoords='offset points',
+            size=20,
+            arrowprops=dict(arrowstyle="fancy",
+                            fc="0.6", ec="none",
+                            patchB=el,
+                            connectionstyle="angle3,angleA=0,angleB=-90"))
+ax.annotate('arrow\nsimple',
+            xy=(2., -1), xycoords='data',
+            xytext=(100, 60), textcoords='offset points',
+            size=20,
+            arrowprops=dict(arrowstyle="simple",
+                            fc="0.6", ec="none",
+                            patchB=el,
+                            connectionstyle="arc3,rad=0.3"))
+ax.annotate('wedge',
+            xy=(2., -1), xycoords='data',
+            xytext=(-100, -100), textcoords='offset points',
+            size=20,
+            arrowprops=dict(arrowstyle="wedge,tail_width=0.7",
+                            fc="0.6", ec="none",
+                            patchB=el,
+                            connectionstyle="arc3,rad=-0.3"))
+ax.annotate('bubble,\ncontours',
+            xy=(2., -1), xycoords='data',
+            xytext=(0, -70), textcoords='offset points',
+            size=20,
+            bbox=dict(boxstyle="round",
+                      fc=(1.0, 0.7, 0.7),
+                      ec=(1., .5, .5)),
+            arrowprops=dict(arrowstyle="wedge,tail_width=1.",
+                            fc=(1.0, 0.7, 0.7), ec=(1., .5, .5),
+                            patchA=None,
+                            patchB=el,
+                            relpos=(0.2, 0.8),
+                            connectionstyle="arc3,rad=-0.1"))
+ax.annotate('bubble',
+            xy=(2., -1), xycoords='data',
+            xytext=(55, 0), textcoords='offset points',
+            size=20, va="center",
+            bbox=dict(boxstyle="round", fc=(1.0, 0.7, 0.7), ec="none"),
+            arrowprops=dict(arrowstyle="wedge,tail_width=1.",
+                            fc=(1.0, 0.7, 0.7), ec="none",
+                            patchA=None,
+                            patchB=el,
+                            relpos=(0.2, 0.5)))
+
+ax.set(xlim=(-1, 5), ylim=(-5, 3))
+
+# %%
+# More examples of coordinate systems
+# -----------------------------------
+#
+# Below we'll show a few more examples of coordinate systems and how the
+# location of annotations may be specified.
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+
+bbox_args = dict(boxstyle="round", fc="0.8")
+arrow_args = dict(arrowstyle="->")
+
+# Here we'll demonstrate the extents of the coordinate system and how
+# we place annotating text.
+
+ax1.annotate('figure fraction : 0, 0', xy=(0, 0), xycoords='figure fraction',
+             xytext=(20, 20), textcoords='offset points',
+             ha="left", va="bottom",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+ax1.annotate('figure fraction : 1, 1', xy=(1, 1), xycoords='figure fraction',
+             xytext=(-20, -20), textcoords='offset points',
+             ha="right", va="top",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+ax1.annotate('axes fraction : 0, 0', xy=(0, 0), xycoords='axes fraction',
+             xytext=(20, 20), textcoords='offset points',
+             ha="left", va="bottom",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+ax1.annotate('axes fraction : 1, 1', xy=(1, 1), xycoords='axes fraction',
+             xytext=(-20, -20), textcoords='offset points',
+             ha="right", va="top",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+# It is also possible to generate draggable annotations
+
+an1 = ax1.annotate('Drag me 1', xy=(.5, .7), xycoords='data',
+                   ha="center", va="center",
+                   bbox=bbox_args)
+
+an2 = ax1.annotate('Drag me 2', xy=(.5, .5), xycoords=an1,
+                   xytext=(.5, .3), textcoords='axes fraction',
+                   ha="center", va="center",
+                   bbox=bbox_args,
+                   arrowprops=dict(patchB=an1.get_bbox_patch(),
+                                   connectionstyle="arc3,rad=0.2",
+                                   **arrow_args))
+an1.draggable()
+an2.draggable()
+
+an3 = ax1.annotate('', xy=(.5, .5), xycoords=an2,
+                   xytext=(.5, .5), textcoords=an1,
+                   ha="center", va="center",
+                   bbox=bbox_args,
+                   arrowprops=dict(patchA=an1.get_bbox_patch(),
+                                   patchB=an2.get_bbox_patch(),
+                                   connectionstyle="arc3,rad=0.2",
+                                   **arrow_args))
+
+# Finally we'll show off some more complex annotation and placement
+
+text = ax2.annotate('xy=(0, 1)\nxycoords=("data", "axes fraction")',
+                    xy=(0, 1), xycoords=("data", 'axes fraction'),
+                    xytext=(0, -20), textcoords='offset points',
+                    ha="center", va="top",
+                    bbox=bbox_args,
+                    arrowprops=arrow_args)
+
+ax2.annotate('xy=(0.5, 0)\nxycoords=artist',
+             xy=(0.5, 0.), xycoords=text,
+             xytext=(0, -20), textcoords='offset points',
+             ha="center", va="top",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+ax2.annotate('xy=(0.8, 0.5)\nxycoords=ax1.transData',
+             xy=(0.8, 0.5), xycoords=ax1.transData,
+             xytext=(10, 10),
+             textcoords=OffsetFrom(ax2.bbox, (0, 0), "points"),
+             ha="left", va="bottom",
+             bbox=bbox_args,
+             arrowprops=arrow_args)
+
+ax2.set(xlim=[-2, 2], ylim=[-2, 2])
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/annotation_polar.py b/galleries/examples/text_labels_and_annotations/annotation_polar.py
new file mode 100644
index 000000000000..c2418519cf8c
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/annotation_polar.py
@@ -0,0 +1,43 @@
+"""
+====================
+Annotate polar plots
+====================
+
+This example shows how to create an annotation on a polar graph.
+
+For a complete overview of the annotation capabilities, also see the
+:ref:`annotations`.
+
+.. redirect-from:: /gallery/pyplots/annotation_polar
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='polar')
+r = np.arange(0, 1, 0.001)
+theta = 2 * 2*np.pi * r
+line, = ax.plot(theta, r, color='#ee8d18', lw=3)
+
+ind = 800
+thisr, thistheta = r[ind], theta[ind]
+ax.plot([thistheta], [thisr], 'o')
+ax.annotate('a polar annotation',
+            xy=(thistheta, thisr),  # theta, radius
+            xytext=(0.05, 0.05),    # fraction, fraction
+            textcoords='figure fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='left',
+            verticalalignment='bottom',
+            )
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.projections.polar`
+#    - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/arrow_demo.py b/galleries/examples/text_labels_and_annotations/arrow_demo.py
new file mode 100644
index 000000000000..11c6c3ec0e5d
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/arrow_demo.py
@@ -0,0 +1,159 @@
+"""
+==========
+Arrow Demo
+==========
+
+Three ways of drawing arrows to encode arrow "strength" (e.g., transition
+probabilities in a Markov model) using arrow length, width, or alpha (opacity).
+"""
+
+import itertools
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def make_arrow_graph(ax, data, size=4, display='length', shape='right',
+                     max_arrow_width=0.03, arrow_sep=0.02, alpha=0.5,
+                     normalize_data=False, ec=None, labelcolor=None,
+                     **kwargs):
+    """
+    Makes an arrow plot.
+
+    Parameters
+    ----------
+    ax
+        The Axes where the graph is drawn.
+    data
+        Dict with probabilities for the bases and pair transitions.
+    size
+        Size of the plot, in inches.
+    display : {'length', 'width', 'alpha'}
+        The arrow property to change.
+    shape : {'full', 'left', 'right'}
+        For full or half arrows.
+    max_arrow_width : float
+        Maximum width of an arrow, in data coordinates.
+    arrow_sep : float
+        Separation between arrows in a pair, in data coordinates.
+    alpha : float
+        Maximum opacity of arrows.
+    **kwargs
+        `.FancyArrow` properties, e.g. *linewidth* or *edgecolor*.
+    """
+
+    ax.set(xlim=(-0.25, 1.25), ylim=(-0.25, 1.25), xticks=[], yticks=[],
+           title=f'flux encoded as arrow {display}')
+    max_text_size = size * 12
+    min_text_size = size
+    label_text_size = size * 4
+
+    bases = 'ATGC'
+    coords = {
+        'A': np.array([0, 1]),
+        'T': np.array([1, 1]),
+        'G': np.array([0, 0]),
+        'C': np.array([1, 0]),
+    }
+    colors = {'A': 'r', 'T': 'k', 'G': 'g', 'C': 'b'}
+
+    for base in bases:
+        fontsize = np.clip(max_text_size * data[base]**(1/2),
+                           min_text_size, max_text_size)
+        ax.text(*coords[base], f'${base}_3$',
+                color=colors[base], size=fontsize,
+                horizontalalignment='center', verticalalignment='center',
+                weight='bold')
+
+    arrow_h_offset = 0.25  # data coordinates, empirically determined
+    max_arrow_length = 1 - 2 * arrow_h_offset
+    max_head_width = 2.5 * max_arrow_width
+    max_head_length = 2 * max_arrow_width
+    sf = 0.6  # max arrow size represents this in data coords
+
+    if normalize_data:
+        # find maximum value for rates, i.e. where keys are 2 chars long
+        max_val = max((v for k, v in data.items() if len(k) == 2), default=0)
+        # divide rates by max val, multiply by arrow scale factor
+        for k, v in data.items():
+            data[k] = v / max_val * sf
+
+    # iterate over strings 'AT', 'TA', 'AG', 'GA', etc.
+    for pair in map(''.join, itertools.permutations(bases, 2)):
+        # set the length of the arrow
+        if display == 'length':
+            length = (max_head_length
+                      + data[pair] / sf * (max_arrow_length - max_head_length))
+        else:
+            length = max_arrow_length
+        # set the transparency of the arrow
+        if display == 'alpha':
+            alpha = min(data[pair] / sf, alpha)
+        # set the width of the arrow
+        if display == 'width':
+            scale = data[pair] / sf
+            width = max_arrow_width * scale
+            head_width = max_head_width * scale
+            head_length = max_head_length * scale
+        else:
+            width = max_arrow_width
+            head_width = max_head_width
+            head_length = max_head_length
+
+        fc = colors[pair[0]]
+
+        cp0 = coords[pair[0]]
+        cp1 = coords[pair[1]]
+        # unit vector in arrow direction
+        delta = cos, sin = (cp1 - cp0) / np.hypot(*(cp1 - cp0))
+        x_pos, y_pos = (
+            (cp0 + cp1) / 2  # midpoint
+            - delta * length / 2  # half the arrow length
+            + np.array([-sin, cos]) * arrow_sep  # shift outwards by arrow_sep
+        )
+        ax.arrow(
+            x_pos, y_pos, cos * length, sin * length,
+            fc=fc, ec=ec or fc, alpha=alpha, width=width,
+            head_width=head_width, head_length=head_length, shape=shape,
+            length_includes_head=True,
+            **kwargs
+        )
+
+        # figure out coordinates for text:
+        # if drawing relative to base: x and y are same as for arrow
+        # dx and dy are one arrow width left and up
+        orig_positions = {
+            'base': [3 * max_arrow_width, 3 * max_arrow_width],
+            'center': [length / 2, 3 * max_arrow_width],
+            'tip': [length - 3 * max_arrow_width, 3 * max_arrow_width],
+        }
+        # for diagonal arrows, put the label at the arrow base
+        # for vertical or horizontal arrows, center the label
+        where = 'base' if (cp0 != cp1).all() else 'center'
+        # rotate based on direction of arrow (cos, sin)
+        M = [[cos, -sin], [sin, cos]]
+        x, y = np.dot(M, orig_positions[where]) + [x_pos, y_pos]
+        label = r'$r_{_{\mathrm{%s}}}$' % (pair,)
+        ax.text(x, y, label, size=label_text_size, ha='center', va='center',
+                color=labelcolor or fc)
+
+
+if __name__ == '__main__':
+    data = {  # test data
+        'A': 0.4, 'T': 0.3, 'G': 0.6, 'C': 0.2,
+        'AT': 0.4, 'AC': 0.3, 'AG': 0.2,
+        'TA': 0.2, 'TC': 0.3, 'TG': 0.4,
+        'CT': 0.2, 'CG': 0.3, 'CA': 0.2,
+        'GA': 0.1, 'GT': 0.4, 'GC': 0.1,
+    }
+
+    size = 4
+    fig = plt.figure(figsize=(3 * size, size), layout="constrained")
+    axs = fig.subplot_mosaic([["length", "width", "alpha"]])
+
+    for display, ax in axs.items():
+        make_arrow_graph(
+            ax, data, display=display, linewidth=0.001, edgecolor=None,
+            normalize_data=True, size=size)
+
+    plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/autowrap.py b/galleries/examples/text_labels_and_annotations/autowrap.py
new file mode 100644
index 000000000000..ea65b0be9992
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/autowrap.py
@@ -0,0 +1,32 @@
+"""
+==============
+Auto-wrap text
+==============
+
+Matplotlib can wrap text automatically, but if it's too long, the text will
+still be displayed slightly outside the boundaries of the axis.
+
+Note: Auto-wrapping does not work together with
+``savefig(..., bbox_inches='tight')``. The 'tight' setting rescales the canvas
+to accommodate all content and happens before wrapping. This affects
+``%matplotlib inline`` in IPython and Jupyter notebooks where the inline
+setting uses ``bbox_inches='tight'`` by default when saving the image to
+embed.
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+plt.axis((0, 10, 0, 10))
+t = ("This is a really long string that I'd rather have wrapped so that it "
+     "doesn't go outside of the figure, but if it's long enough it will go "
+     "off the top or bottom!")
+plt.text(4, 1, t, ha='left', rotation=15, wrap=True)
+plt.text(6, 5, t, ha='left', rotation=15, wrap=True)
+plt.text(5, 5, t, ha='right', rotation=-15, wrap=True)
+plt.text(5, 10, t, fontsize=18, style='oblique', ha='center',
+         va='top', wrap=True)
+plt.text(3, 4, t, family='serif', style='italic', ha='right', wrap=True)
+plt.text(-1, 0, t, ha='left', rotation=-15, wrap=True)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/custom_legends.py b/galleries/examples/text_labels_and_annotations/custom_legends.py
new file mode 100644
index 000000000000..58eb47be0a93
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/custom_legends.py
@@ -0,0 +1,74 @@
+"""
+======================
+Compose custom legends
+======================
+
+Composing custom legends piece-by-piece.
+
+.. note::
+
+   For more information on creating and customizing legends, see the following
+   pages:
+
+   * :ref:`legend_guide`
+   * :doc:`/gallery/text_labels_and_annotations/legend_demo`
+
+Sometimes you don't want a legend that is explicitly tied to data that
+you have plotted. For example, say you have plotted 10 lines, but don't
+want a legend item to show up for each one. If you simply plot the lines
+and call ``ax.legend()``, you will get the following:
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# sphinx_gallery_thumbnail_number = 2
+import matplotlib as mpl
+from matplotlib import cycler
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# %%
+N = 10
+data = (np.geomspace(1, 10, 100) + np.random.randn(N, 100)).T
+cmap = plt.colormaps["coolwarm"]
+mpl.rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))
+
+fig, ax = plt.subplots()
+lines = ax.plot(data)
+
+# %%
+# Since the data does not have any labels, creating a legend requires
+# us to define the icons and labels.
+# In this case, we can compose a legend using Matplotlib objects that aren't
+# explicitly tied to the data that was plotted. For example:
+
+from matplotlib.lines import Line2D
+
+custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
+                Line2D([0], [0], color=cmap(.5), lw=4),
+                Line2D([0], [0], color=cmap(1.), lw=4)]
+
+fig, ax = plt.subplots()
+lines = ax.plot(data)
+ax.legend(custom_lines, ['Cold', 'Medium', 'Hot'])
+
+
+# %%
+# There are many other Matplotlib objects that can be used in this way. In the
+# code below we've listed a few common ones.
+
+from matplotlib.lines import Line2D
+from matplotlib.patches import Patch
+
+legend_elements = [Line2D([0], [0], color='b', lw=4, label='Line'),
+                   Line2D([0], [0], marker='o', color='w', label='Scatter',
+                          markerfacecolor='g', markersize=15),
+                   Patch(facecolor='orange', edgecolor='r',
+                         label='Color Patch')]
+
+# Create the figure
+fig, ax = plt.subplots()
+ax.legend(handles=legend_elements, loc='center')
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/date.py b/galleries/examples/text_labels_and_annotations/date.py
new file mode 100644
index 000000000000..880e62e36714
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/date.py
@@ -0,0 +1,63 @@
+"""
+================
+Date tick labels
+================
+
+Matplotlib date plotting is done by converting date instances into
+days since an epoch (by default 1970-01-01T00:00:00). The
+:mod:`matplotlib.dates` module provides the converter functions `.date2num`
+and `.num2date` that convert `datetime.datetime` and `numpy.datetime64`
+objects to and from Matplotlib's internal representation.  These data
+types are registered with the unit conversion mechanism described in
+:mod:`matplotlib.units`, so the conversion happens automatically for the user.
+The registration process also sets the default tick ``locator`` and
+``formatter`` for the axis to be `~.matplotlib.dates.AutoDateLocator` and
+`~.matplotlib.dates.AutoDateFormatter`.
+
+An alternative formatter is the `~.dates.ConciseDateFormatter`,
+used in the second ``Axes`` below (see
+:doc:`/gallery/ticks/date_concise_formatter`), which often removes the need to
+rotate the tick labels. The last ``Axes`` formats the dates manually, using
+`~.dates.DateFormatter` to format the dates using the format strings documented
+at `datetime.date.strftime`.
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.cbook as cbook
+import matplotlib.dates as mdates
+
+# Load a numpy record array from yahoo csv data with fields date, open, high,
+# low, close, volume, adj_close from the mpl-data/sample_data directory. The
+# record array stores the date as an np.datetime64 with a day unit ('D') in
+# the date column.
+data = cbook.get_sample_data('goog.npz')['price_data']
+
+fig, axs = plt.subplots(3, 1, figsize=(6.4, 7), layout='constrained')
+# common to all three:
+for ax in axs:
+    ax.plot('date', 'adj_close', data=data)
+    # Major ticks every half year, minor ticks every month,
+    ax.xaxis.set_major_locator(mdates.MonthLocator(bymonth=(1, 7)))
+    ax.xaxis.set_minor_locator(mdates.MonthLocator())
+    ax.grid(True)
+    ax.set_ylabel(r'Price [\$]')
+
+# different formats:
+ax = axs[0]
+ax.set_title('DefaultFormatter', loc='left', y=0.85, x=0.02, fontsize='medium')
+
+ax = axs[1]
+ax.set_title('ConciseFormatter', loc='left', y=0.85, x=0.02, fontsize='medium')
+ax.xaxis.set_major_formatter(
+    mdates.ConciseDateFormatter(ax.xaxis.get_major_locator()))
+
+ax = axs[2]
+ax.set_title('Manual DateFormatter', loc='left', y=0.85, x=0.02,
+             fontsize='medium')
+# Text in the x-axis will be displayed in 'YYYY-mm' format.
+ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%b'))
+# Rotates and right-aligns the x labels so they don't crowd each other.
+ax.xaxis.set_tick_params(rotation=30, rotation_mode='xtick')
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/demo_annotation_box.py b/galleries/examples/text_labels_and_annotations/demo_annotation_box.py
new file mode 100644
index 000000000000..ad28c4abd96c
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/demo_annotation_box.py
@@ -0,0 +1,119 @@
+"""
+===================
+AnnotationBbox demo
+===================
+
+`.AnnotationBbox` creates an annotation using an `.OffsetBox`, and
+provides more fine-grained control than `.Axes.annotate`.  This example
+demonstrates the use of AnnotationBbox together with three different
+OffsetBoxes: `.TextArea`, `.DrawingArea`, and `.OffsetImage`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.cbook import get_sample_data
+from matplotlib.offsetbox import (AnnotationBbox, DrawingArea, OffsetImage,
+                                  TextArea)
+from matplotlib.patches import Circle
+
+fig, ax = plt.subplots()
+
+# Define a 1st position to annotate (display it with a marker)
+xy = (0.5, 0.7)
+ax.plot(xy[0], xy[1], ".r")
+
+# Annotate the 1st position with a text box ('Test 1')
+offsetbox = TextArea("Test 1")
+
+ab = AnnotationBbox(offsetbox, xy,
+                    xybox=(-20, 40),
+                    xycoords='data',
+                    boxcoords="offset points",
+                    arrowprops=dict(arrowstyle="->"),
+                    bboxprops=dict(boxstyle="sawtooth"))
+ax.add_artist(ab)
+
+# Annotate the 1st position with another text box ('Test')
+offsetbox = TextArea("Test")
+
+ab = AnnotationBbox(offsetbox, xy,
+                    xybox=(1.02, xy[1]),
+                    xycoords='data',
+                    boxcoords=("axes fraction", "data"),
+                    box_alignment=(0., 0.5),
+                    arrowprops=dict(arrowstyle="->"))
+ax.add_artist(ab)
+
+# Define a 2nd position to annotate (don't display with a marker this time)
+xy = [0.3, 0.55]
+
+# Annotate the 2nd position with a circle patch
+da = DrawingArea(20, 20, 0, 0)
+p = Circle((10, 10), 10)
+da.add_artist(p)
+
+ab = AnnotationBbox(da, xy,
+                    xybox=(1., xy[1]),
+                    xycoords='data',
+                    boxcoords=("axes fraction", "data"),
+                    box_alignment=(0.2, 0.5),
+                    arrowprops=dict(arrowstyle="->"),
+                    bboxprops=dict(alpha=0.5))
+
+ax.add_artist(ab)
+
+# Annotate the 2nd position with an image (a generated array of pixels)
+arr = np.arange(100).reshape((10, 10))
+im = OffsetImage(arr, zoom=2)
+im.image.axes = ax
+
+ab = AnnotationBbox(im, xy,
+                    xybox=(-50., 50.),
+                    xycoords='data',
+                    boxcoords="offset points",
+                    pad=0.3,
+                    arrowprops=dict(arrowstyle="->"))
+
+ax.add_artist(ab)
+
+# Annotate the 2nd position with another image (a Grace Hopper portrait)
+with get_sample_data("grace_hopper.jpg") as file:
+    arr_img = plt.imread(file)
+
+imagebox = OffsetImage(arr_img, zoom=0.2)
+imagebox.image.axes = ax
+
+ab = AnnotationBbox(imagebox, xy,
+                    xybox=(120., -80.),
+                    xycoords='data',
+                    boxcoords="offset points",
+                    pad=0.5,
+                    arrowprops=dict(
+                        arrowstyle="->",
+                        connectionstyle="angle,angleA=0,angleB=90,rad=3")
+                    )
+
+ax.add_artist(ab)
+
+# Fix the display limits to see everything
+ax.set_xlim(0, 1)
+ax.set_ylim(0, 1)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches.Circle`
+#    - `matplotlib.offsetbox.TextArea`
+#    - `matplotlib.offsetbox.DrawingArea`
+#    - `matplotlib.offsetbox.OffsetImage`
+#    - `matplotlib.offsetbox.AnnotationBbox`
+#    - `matplotlib.cbook.get_sample_data`
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.pyplot.imread`
diff --git a/galleries/examples/text_labels_and_annotations/demo_text_path.py b/galleries/examples/text_labels_and_annotations/demo_text_path.py
new file mode 100644
index 000000000000..bb4bbc628caa
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/demo_text_path.py
@@ -0,0 +1,123 @@
+"""
+======================
+Using a text as a Path
+======================
+
+`~matplotlib.text.TextPath` creates a `.Path` that is the outline of the
+characters of a text. The resulting path can be employed e.g. as a clip path
+for an image.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.cbook import get_sample_data
+from matplotlib.image import BboxImage
+from matplotlib.offsetbox import (AnchoredOffsetbox, AnnotationBbox,
+                                  AuxTransformBox)
+from matplotlib.patches import PathPatch, Shadow
+from matplotlib.text import TextPath
+from matplotlib.transforms import IdentityTransform
+
+
+class PathClippedImagePatch(PathPatch):
+    """
+    The given image is used to draw the face of the patch. Internally,
+    it uses BboxImage whose clippath set to the path of the patch.
+
+    FIXME : The result is currently dpi dependent.
+    """
+
+    def __init__(self, path, bbox_image, **kwargs):
+        super().__init__(path, **kwargs)
+        self.bbox_image = BboxImage(
+            self.get_window_extent, norm=None, origin=None)
+        self.bbox_image.set_data(bbox_image)
+
+    def set_facecolor(self, color):
+        """Simply ignore facecolor."""
+        super().set_facecolor("none")
+
+    def draw(self, renderer=None):
+        # the clip path must be updated every draw. any solution? -JJ
+        self.bbox_image.set_clip_path(self._path, self.get_transform())
+        self.bbox_image.draw(renderer)
+        super().draw(renderer)
+
+
+if __name__ == "__main__":
+
+    fig, (ax1, ax2) = plt.subplots(2)
+
+    # EXAMPLE 1
+
+    arr = plt.imread(get_sample_data("grace_hopper.jpg"))
+
+    text_path = TextPath((0, 0), "!?", size=150)
+    p = PathClippedImagePatch(text_path, arr, ec="k")
+
+    # make offset box
+    offsetbox = AuxTransformBox(IdentityTransform())
+    offsetbox.add_artist(p)
+
+    # make anchored offset box
+    ao = AnchoredOffsetbox(loc='upper left', child=offsetbox, frameon=True,
+                           borderpad=0.2)
+    ax1.add_artist(ao)
+
+    # another text
+    for usetex, ypos, string in [
+            (False, 0.25, r"textpath supports mathtext"),
+            (True, 0.05, r"textpath supports \TeX"),
+    ]:
+        text_path = TextPath((0, 0), string, size=20, usetex=usetex)
+
+        p1 = PathPatch(text_path, ec="w", lw=3, fc="w", alpha=0.9)
+        p2 = PathPatch(text_path, ec="none", fc="k")
+
+        offsetbox2 = AuxTransformBox(IdentityTransform())
+        offsetbox2.add_artist(p1)
+        offsetbox2.add_artist(p2)
+
+        ab = AnnotationBbox(offsetbox2, (0.95, ypos),
+                            xycoords='axes fraction',
+                            boxcoords="offset points",
+                            box_alignment=(1., 0.),
+                            frameon=False,
+                            )
+        ax1.add_artist(ab)
+
+    ax1.imshow([[0, 1, 2], [1, 2, 3]], cmap="gist_gray_r",
+               interpolation="bilinear", aspect="auto")
+
+    # EXAMPLE 2
+
+    arr = np.arange(256).reshape(1, 256)
+
+    for usetex, xpos, string in [
+            (False, 0.25,
+             r"$\left[\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}\right]$!"),
+            (True, 0.75,
+             r"$\displaystyle\left[\sum_{n=1}^\infty"
+             r"\frac{-e^{i\pi}}{2^n}\right]$!"),
+    ]:
+        text_path = TextPath((0, 0), string, size=40, usetex=usetex)
+        text_patch = PathClippedImagePatch(text_path, arr, ec="none")
+        shadow1 = Shadow(text_patch, 1, -1, fc="none", ec="0.6", lw=3)
+        shadow2 = Shadow(text_patch, 1, -1, fc="0.3", ec="none")
+
+        # make offset box
+        offsetbox = AuxTransformBox(IdentityTransform())
+        offsetbox.add_artist(shadow1)
+        offsetbox.add_artist(shadow2)
+        offsetbox.add_artist(text_patch)
+
+        # place the anchored offset box using AnnotationBbox
+        ab = AnnotationBbox(offsetbox, (xpos, 0.5), box_alignment=(0.5, 0.5))
+
+        ax2.add_artist(ab)
+
+    ax2.set_xlim(0, 1)
+    ax2.set_ylim(0, 1)
+
+    plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/demo_text_rotation_mode.py b/galleries/examples/text_labels_and_annotations/demo_text_rotation_mode.py
new file mode 100644
index 000000000000..9cb7f30302fc
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/demo_text_rotation_mode.py
@@ -0,0 +1,88 @@
+r"""
+==================
+Text rotation mode
+==================
+
+This example illustrates the effect of ``rotation_mode`` on the positioning
+of rotated text.
+
+Rotated `.Text`\s are created by passing the parameter ``rotation`` to
+the constructor or the Axes' method `~.axes.Axes.text`.
+
+The actual positioning depends on the additional parameters
+``horizontalalignment``, ``verticalalignment`` and ``rotation_mode``.
+``rotation_mode`` determines the order of rotation and alignment:
+
+- ``rotation_mode='default'`` (or None) first rotates the text and then aligns
+  the bounding box of the rotated text.
+- ``rotation_mode='anchor'`` aligns the unrotated text and then rotates the
+  text around the point of alignment.
+
+.. redirect-from:: /gallery/text_labels_and_annotations/text_rotation
+"""
+
+import matplotlib.pyplot as plt
+
+
+def test_rotation_mode(fig, mode):
+    ha_list = ["left", "center", "right"]
+    va_list = ["top", "center", "baseline", "bottom"]
+    axs = fig.subplots(len(va_list), len(ha_list), sharex=True, sharey=True,
+                       subplot_kw=dict(aspect=1),
+                       gridspec_kw=dict(hspace=0, wspace=0))
+
+    # labels and title
+    for ha, ax in zip(ha_list, axs[-1, :]):
+        ax.set_xlabel(ha)
+    for va, ax in zip(va_list, axs[:, 0]):
+        ax.set_ylabel(va)
+    axs[0, 1].set_title(f"rotation_mode='{mode}'", size="large")
+
+    kw = (
+        {} if mode == "default" else
+        {"bbox": dict(boxstyle="square,pad=0.", ec="none", fc="C1", alpha=0.3)}
+    )
+
+    texts = {}
+
+    # use a different text alignment in each Axes
+    for i, va in enumerate(va_list):
+        for j, ha in enumerate(ha_list):
+            ax = axs[i, j]
+            # prepare Axes layout
+            ax.set(xticks=[], yticks=[])
+            ax.axvline(0.5, color="skyblue", zorder=0)
+            ax.axhline(0.5, color="skyblue", zorder=0)
+            ax.plot(0.5, 0.5, color="C0", marker="o", zorder=1)
+            # add text with rotation and alignment settings
+            tx = ax.text(0.5, 0.5, "Tpg",
+                         size="x-large", rotation=40,
+                         horizontalalignment=ha, verticalalignment=va,
+                         rotation_mode=mode, **kw)
+            texts[ax] = tx
+
+    if mode == "default":
+        # highlight bbox
+        fig.canvas.draw()
+        for ax, text in texts.items():
+            bb = text.get_window_extent().transformed(ax.transData.inverted())
+            rect = plt.Rectangle((bb.x0, bb.y0), bb.width, bb.height,
+                                 facecolor="C1", alpha=0.3, zorder=2)
+            ax.add_patch(rect)
+
+
+fig = plt.figure(figsize=(8, 5))
+subfigs = fig.subfigures(1, 2)
+test_rotation_mode(subfigs[0], "default")
+test_rotation_mode(subfigs[1], "anchor")
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.text` / `matplotlib.pyplot.text`
diff --git a/galleries/examples/text_labels_and_annotations/dfrac_demo.py b/galleries/examples/text_labels_and_annotations/dfrac_demo.py
new file mode 100644
index 000000000000..6d751f367722
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/dfrac_demo.py
@@ -0,0 +1,28 @@
+r"""
+=========================================
+The difference between \\dfrac and \\frac
+=========================================
+
+In this example, the differences between the \\dfrac and \\frac TeX macros are
+illustrated; in particular, the difference between display style and text style
+fractions when using Mathtext.
+
+.. versionadded:: 2.1
+
+.. note::
+    To use \\dfrac with the LaTeX engine (text.usetex : True), you need to
+    import the amsmath package with :rc:`text.latex.preamble`, which is
+    an unsupported feature; therefore, it is probably a better idea to just
+    use the \\displaystyle option before the \\frac macro to get this behavior
+    with the LaTeX engine.
+
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure(figsize=(5.25, 0.75))
+fig.text(0.5, 0.3, r'\dfrac: $\dfrac{a}{b}$',
+         horizontalalignment='center', verticalalignment='center')
+fig.text(0.5, 0.7, r'\frac: $\frac{a}{b}$',
+         horizontalalignment='center', verticalalignment='center')
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/engineering_formatter.py b/galleries/examples/text_labels_and_annotations/engineering_formatter.py
new file mode 100644
index 000000000000..372297a81d57
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/engineering_formatter.py
@@ -0,0 +1,44 @@
+"""
+=======================================
+Format ticks using engineering notation
+=======================================
+
+Use of the engineering Formatter.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.ticker import EngFormatter
+
+# Fixing random state for reproducibility
+prng = np.random.RandomState(19680801)
+
+# Create artificial data to plot.
+# The x data span over several decades to demonstrate several SI prefixes.
+xs = np.logspace(1, 9, 100)
+ys = (0.8 + 0.4 * prng.uniform(size=100)) * np.log10(xs)**2
+
+# Figure width is doubled (2*6.4) to display nicely 2 subplots side by side.
+fig, (ax0, ax1) = plt.subplots(nrows=2, figsize=(7, 9.6))
+for ax in (ax0, ax1):
+    ax.set_xscale('log')
+
+# Demo of the default settings, with a user-defined unit label.
+ax0.set_title('Full unit ticklabels, w/ default precision & space separator')
+formatter0 = EngFormatter(unit='Hz')
+ax0.xaxis.set_major_formatter(formatter0)
+ax0.plot(xs, ys)
+ax0.set_xlabel('Frequency')
+
+# Demo of the options `places` (number of digit after decimal point) and
+# `sep` (separator between the number and the prefix/unit).
+ax1.set_title('SI-prefix only ticklabels, 1-digit precision & '
+              'thin space separator')
+formatter1 = EngFormatter(places=1, sep="\N{THIN SPACE}")  # U+2009
+ax1.xaxis.set_major_formatter(formatter1)
+ax1.plot(xs, ys)
+ax1.set_xlabel('Frequency [Hz]')
+
+plt.tight_layout()
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/fancyarrow_demo.py b/galleries/examples/text_labels_and_annotations/fancyarrow_demo.py
new file mode 100644
index 000000000000..6a2700d20515
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/fancyarrow_demo.py
@@ -0,0 +1,64 @@
+"""
+================================
+Annotation arrow style reference
+================================
+
+Overview of the available `.ArrowStyle` settings. These are used for the *arrowstyle*
+parameter of `~.Axes.annotate` and `.FancyArrowPatch`.
+
+Each style can be configured with a set of parameters, which are stated along with
+their default values.
+"""
+
+import inspect
+import itertools
+import re
+
+import matplotlib.pyplot as plt
+
+from matplotlib.patches import ArrowStyle
+
+styles = ArrowStyle.get_styles()
+ncol = 2
+nrow = (len(styles) + 1) // ncol
+gridspec_kw = dict(wspace=0, hspace=0.05, left=0, right=1, bottom=0, top=1)
+fig, axs = plt.subplots(1 + nrow, ncol,
+                        figsize=(4 * ncol, 1 + nrow), gridspec_kw=gridspec_kw)
+for ax in axs.flat:
+    ax.set_xlim(-0.1, 4)
+    ax.set_axis_off()
+for ax in axs[0, :]:
+    ax.text(0, 0.5, "arrowstyle", size="large", color="tab:blue")
+    ax.text(1.4, .5, "default parameters", size="large")
+for ax, (stylename, stylecls) in zip(axs[1:, :].T.flat, styles.items()):
+    # draw dot and annotation with arrowstyle
+    l, = ax.plot(1.25, 0, "o", color="darkgrey")
+    ax.annotate(stylename, (1.25, 0), (0, 0),
+                size="large", color="tab:blue", va="center", family="monospace",
+                arrowprops=dict(
+                    arrowstyle=stylename, connectionstyle="arc3,rad=0",
+                    color="black", shrinkA=5, shrinkB=5, patchB=l,
+                ),
+                bbox=dict(boxstyle="square", fc="w", ec="darkgrey"))
+    # draw default parameters
+    # wrap at every nth comma (n = 1 or 2, depending on text length)
+    s = str(inspect.signature(stylecls))[1:-1]
+    n = 2 if s.count(',') > 3 else 1
+    ax.text(1.4, 0,
+            re.sub(', ', lambda m, c=itertools.count(1): m.group()
+                   if next(c) % n else '\n', s),
+            verticalalignment="center", color="0.3")
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.patches`
+#    - `matplotlib.patches.ArrowStyle`
+#    - ``matplotlib.patches.ArrowStyle.get_styles``
+#    - `matplotlib.axes.Axes.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/fancytextbox_demo.py b/galleries/examples/text_labels_and_annotations/fancytextbox_demo.py
new file mode 100644
index 000000000000..940ed9349170
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/fancytextbox_demo.py
@@ -0,0 +1,26 @@
+"""
+==================
+Styling text boxes
+==================
+
+This example shows how to style text boxes using *bbox* parameters.
+"""
+import matplotlib.pyplot as plt
+
+plt.text(0.6, 0.7, "eggs", size=50, rotation=30.,
+         ha="center", va="center",
+         bbox=dict(boxstyle="round",
+                   ec=(1., 0.5, 0.5),
+                   fc=(1., 0.8, 0.8),
+                   )
+         )
+
+plt.text(0.55, 0.6, "spam", size=50, rotation=-25.,
+         ha="right", va="top",
+         bbox=dict(boxstyle="square",
+                   ec=(1., 0.5, 0.5),
+                   fc=(1., 0.8, 0.8),
+                   )
+         )
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/figlegend_demo.py b/galleries/examples/text_labels_and_annotations/figlegend_demo.py
new file mode 100644
index 000000000000..64253430b085
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/figlegend_demo.py
@@ -0,0 +1,33 @@
+"""
+==================
+Figure legend demo
+==================
+
+Rather than plotting a legend on each axis, a legend for all the artists
+on all the sub-axes of a figure can be plotted instead.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, axs = plt.subplots(1, 2, layout='constrained')
+
+x = np.arange(0.0, 4*np.pi, 0.2)
+axs[0].plot(x, np.sin(x), label='Line 1')
+axs[0].plot(x, np.exp(-x/2), marker='o', label='Line 2')
+axs[1].plot(x, np.sin(x), color='tab:green', label='Line 3')
+axs[1].plot(x, np.exp(-x/4), color='tab:red', marker='^', label='Line 4')
+
+fig.legend(loc='outside right upper')
+
+plt.show()
+
+# %%
+# The outside positioning is discussed in detail here:
+# https://matplotlib.org/stable/users/explain/axes/legend_guide.html#figure-legends
+#
+#
+# .. seealso::
+#
+#    The :ref:`legend_guide` contains an in depth discussion on the configuration
+#    options for legends.
diff --git a/galleries/examples/text_labels_and_annotations/font_family_rc.py b/galleries/examples/text_labels_and_annotations/font_family_rc.py
new file mode 100644
index 000000000000..bdf993b76a9e
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/font_family_rc.py
@@ -0,0 +1,71 @@
+"""
+=========================
+Configure the font family
+=========================
+
+You can explicitly set which font family is picked up, either by specifying
+family names of fonts installed on user's system, or generic-families
+(e.g., 'serif', 'sans-serif', 'monospace', 'fantasy' or 'cursive'),
+or a combination of both.
+(see :ref:`text_props`)
+
+In the example below, we are overriding the default sans-serif generic family
+to include a specific (Tahoma) font. (Note that the best way to achieve this
+would simply be to prepend 'Tahoma' in 'font.family')
+
+The default family is set with the font.family rcparam,
+e.g. ::
+
+  rcParams['font.family'] = 'sans-serif'
+
+and for the font.family you set a list of font styles to try to find
+in order::
+
+  rcParams['font.sans-serif'] = ['Tahoma', 'DejaVu Sans',
+                                 'Lucida Grande', 'Verdana']
+
+.. redirect-from:: /gallery/font_family_rc_sgskip
+
+The ``font.family`` defaults are OS dependent and can be viewed with:
+"""
+import matplotlib.pyplot as plt
+
+print(plt.rcParams["font.sans-serif"][0])
+print(plt.rcParams["font.monospace"][0])
+
+
+# %%
+# Choose default sans-serif font
+
+def print_text(text):
+    fig, ax = plt.subplots(figsize=(6, 1), facecolor="#eefade")
+    ax.text(0.5, 0.5, text, ha='center', va='center', size=40)
+    ax.axis("off")
+    plt.show()
+
+
+plt.rcParams["font.family"] = "sans-serif"
+print_text("Hello World! 01")
+
+
+# %%
+# Choose sans-serif font and specify to it to "Nimbus Sans"
+
+plt.rcParams["font.family"] = "sans-serif"
+plt.rcParams["font.sans-serif"] = ["Nimbus Sans"]
+print_text("Hello World! 02")
+
+
+# %%
+# Choose default monospace font
+
+plt.rcParams["font.family"] = "monospace"
+print_text("Hello World! 03")
+
+
+# %%
+# Choose monospace font and specify to it to "FreeMono"
+
+plt.rcParams["font.family"] = "monospace"
+plt.rcParams["font.monospace"] = ["FreeMono"]
+print_text("Hello World! 04")
diff --git a/galleries/examples/text_labels_and_annotations/font_file.py b/galleries/examples/text_labels_and_annotations/font_file.py
new file mode 100644
index 000000000000..b4a58808d716
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/font_file.py
@@ -0,0 +1,41 @@
+r"""
+====================
+Using ttf font files
+====================
+
+Although it is usually not a good idea to explicitly point to a single ttf file
+for a font instance, you can do so by passing a `pathlib.Path` instance as the
+*font* parameter.  Note that passing paths as `str`\s is intentionally not
+supported, but you can simply wrap `str`\s in `pathlib.Path`\s as needed.
+
+Here, we use the Computer Modern roman font (``cmr10``) shipped with
+Matplotlib.
+
+For a more flexible solution, see
+:doc:`/gallery/text_labels_and_annotations/font_family_rc` and
+:doc:`/gallery/text_labels_and_annotations/fonts_demo`.
+"""
+
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+
+import matplotlib as mpl
+
+fig, ax = plt.subplots()
+
+fpath = Path(mpl.get_data_path(), "fonts/ttf/cmr10.ttf")
+ax.set_title(f'This is a special font: {fpath.name}', font=fpath)
+ax.set_xlabel('This is the default font')
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.set_title`
diff --git a/galleries/examples/text_labels_and_annotations/font_table.py b/galleries/examples/text_labels_and_annotations/font_table.py
new file mode 100644
index 000000000000..490f627b1033
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/font_table.py
@@ -0,0 +1,123 @@
+"""
+==========
+Font table
+==========
+
+Matplotlib's font support is provided by the FreeType library.
+
+Here, we use `~.Axes.table` to draw a table that shows the glyphs by Unicode
+codepoint. For brevity, the table only contains the first 256 glyphs.
+
+The example is a full working script. You can download it and use it to
+investigate a font by running ::
+
+    python font_table.py /path/to/font/file
+"""
+
+import os
+from pathlib import Path
+import unicodedata
+
+import matplotlib.pyplot as plt
+
+import matplotlib.font_manager as fm
+from matplotlib.ft2font import FT2Font
+
+
+def print_glyphs(path):
+    """
+    Print the all glyphs in the given font file to stdout.
+
+    Parameters
+    ----------
+    path : str or None
+        The path to the font file.  If None, use Matplotlib's default font.
+    """
+    if path is None:
+        path = fm.findfont(fm.FontProperties())  # The default font.
+
+    font = FT2Font(path)
+
+    charmap = font.get_charmap()
+    max_indices_len = len(str(max(charmap.values())))
+
+    print("The font face contains the following glyphs:")
+    for char_code, glyph_index in charmap.items():
+        char = chr(char_code)
+        name = unicodedata.name(
+                char,
+                f"{char_code:#x} ({font.get_glyph_name(glyph_index)})")
+        print(f"{glyph_index:>{max_indices_len}} {char} {name}")
+
+
+def draw_font_table(path):
+    """
+    Draw a font table of the first 255 chars of the given font.
+
+    Parameters
+    ----------
+    path : str or None
+        The path to the font file.  If None, use Matplotlib's default font.
+    """
+    if path is None:
+        path = fm.findfont(fm.FontProperties())  # The default font.
+
+    font = FT2Font(path)
+    # A charmap is a mapping of "character codes" (in the sense of a character
+    # encoding, e.g. latin-1) to glyph indices (i.e. the internal storage table
+    # of the font face).
+    # In FreeType>=2.1, a Unicode charmap (i.e. mapping Unicode codepoints)
+    # is selected by default.  Moreover, recent versions of FreeType will
+    # automatically synthesize such a charmap if the font does not include one
+    # (this behavior depends on the font format; for example it is present
+    # since FreeType 2.0 for Type 1 fonts but only since FreeType 2.8 for
+    # TrueType (actually, SFNT) fonts).
+    # The code below (specifically, the ``chr(char_code)`` call) assumes that
+    # we have indeed selected a Unicode charmap.
+    codes = font.get_charmap().items()
+
+    labelc = [f"{i:X}" for i in range(16)]
+    labelr = [f"{i:02X}" for i in range(0, 16*16, 16)]
+    chars = [["" for c in range(16)] for r in range(16)]
+
+    for char_code, glyph_index in codes:
+        if char_code >= 256:
+            continue
+        row, col = divmod(char_code, 16)
+        chars[row][col] = chr(char_code)
+
+    fig, ax = plt.subplots(figsize=(8, 4))
+    ax.set_title(os.path.basename(path))
+    ax.set_axis_off()
+
+    table = ax.table(
+        cellText=chars,
+        rowLabels=labelr,
+        colLabels=labelc,
+        rowColours=["palegreen"] * 16,
+        colColours=["palegreen"] * 16,
+        cellColours=[[".95" for c in range(16)] for r in range(16)],
+        cellLoc='center',
+        loc='upper left',
+    )
+    for key, cell in table.get_celld().items():
+        row, col = key
+        if row > 0 and col > -1:  # Beware of table's idiosyncratic indexing...
+            cell.set_text_props(font=Path(path))
+
+    fig.tight_layout()
+    plt.show()
+
+
+if __name__ == "__main__":
+    from argparse import ArgumentParser
+
+    parser = ArgumentParser(description="Display a font table.")
+    parser.add_argument("path", nargs="?", help="Path to the font file.")
+    parser.add_argument("--print-all", action="store_true",
+                        help="Additionally, print all chars to stdout.")
+    args = parser.parse_args()
+
+    if args.print_all:
+        print_glyphs(args.path)
+    draw_font_table(args.path)
diff --git a/galleries/examples/text_labels_and_annotations/fonts_demo.py b/galleries/examples/text_labels_and_annotations/fonts_demo.py
new file mode 100644
index 000000000000..821ee278c4ba
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/fonts_demo.py
@@ -0,0 +1,64 @@
+"""
+==================================
+Fonts demo (object-oriented style)
+==================================
+
+Set font properties using setters.
+
+See :doc:`fonts_demo_kw` to achieve the same effect using keyword arguments.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.font_manager import FontProperties
+
+fig = plt.figure()
+alignment = {'horizontalalignment': 'center', 'verticalalignment': 'baseline'}
+yp = [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2]
+heading_font = FontProperties(size='large')
+
+# Show family options
+fig.text(0.1, 0.9, 'family', fontproperties=heading_font, **alignment)
+families = ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
+for k, family in enumerate(families):
+    font = FontProperties(family=[family])
+    fig.text(0.1, yp[k], family, fontproperties=font, **alignment)
+
+# Show style options
+styles = ['normal', 'italic', 'oblique']
+fig.text(0.3, 0.9, 'style', fontproperties=heading_font, **alignment)
+for k, style in enumerate(styles):
+    font = FontProperties(family='sans-serif', style=style)
+    fig.text(0.3, yp[k], style, fontproperties=font, **alignment)
+
+# Show variant options
+variants = ['normal', 'small-caps']
+fig.text(0.5, 0.9, 'variant', fontproperties=heading_font, **alignment)
+for k, variant in enumerate(variants):
+    font = FontProperties(family='serif', variant=variant)
+    fig.text(0.5, yp[k], variant, fontproperties=font, **alignment)
+
+# Show weight options
+weights = ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
+fig.text(0.7, 0.9, 'weight', fontproperties=heading_font, **alignment)
+for k, weight in enumerate(weights):
+    font = FontProperties(weight=weight)
+    fig.text(0.7, yp[k], weight, fontproperties=font, **alignment)
+
+# Show size options
+sizes = [
+    'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large']
+fig.text(0.9, 0.9, 'size', fontproperties=heading_font, **alignment)
+for k, size in enumerate(sizes):
+    font = FontProperties(size=size)
+    fig.text(0.9, yp[k], size, fontproperties=font, **alignment)
+
+# Show bold italic
+font = FontProperties(style='italic', weight='bold', size='x-small')
+fig.text(0.3, 0.1, 'bold italic', fontproperties=font, **alignment)
+font = FontProperties(style='italic', weight='bold', size='medium')
+fig.text(0.3, 0.2, 'bold italic', fontproperties=font, **alignment)
+font = FontProperties(style='italic', weight='bold', size='x-large')
+fig.text(0.3, 0.3, 'bold italic', fontproperties=font, **alignment)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/fonts_demo_kw.py b/galleries/examples/text_labels_and_annotations/fonts_demo_kw.py
new file mode 100644
index 000000000000..ca19222f878d
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/fonts_demo_kw.py
@@ -0,0 +1,56 @@
+"""
+==============================
+Fonts demo (keyword arguments)
+==============================
+
+Set font properties using keyword arguments.
+
+See :doc:`fonts_demo` to achieve the same effect using setters.
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+alignment = {'horizontalalignment': 'center', 'verticalalignment': 'baseline'}
+yp = [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2]
+
+# Show family options
+fig.text(0.1, 0.9, 'family', size='large', **alignment)
+families = ['serif', 'sans-serif', 'cursive', 'fantasy', 'monospace']
+for k, family in enumerate(families):
+    fig.text(0.1, yp[k], family, family=family, **alignment)
+
+# Show style options
+fig.text(0.3, 0.9, 'style', **alignment)
+styles = ['normal', 'italic', 'oblique']
+for k, style in enumerate(styles):
+    fig.text(0.3, yp[k], style, family='sans-serif', style=style, **alignment)
+
+# Show variant options
+fig.text(0.5, 0.9, 'variant', **alignment)
+variants = ['normal', 'small-caps']
+for k, variant in enumerate(variants):
+    fig.text(0.5, yp[k], variant, family='serif', variant=variant, **alignment)
+
+# Show weight options
+fig.text(0.7, 0.9, 'weight', **alignment)
+weights = ['light', 'normal', 'medium', 'semibold', 'bold', 'heavy', 'black']
+for k, weight in enumerate(weights):
+    fig.text(0.7, yp[k], weight, weight=weight, **alignment)
+
+# Show size options
+fig.text(0.9, 0.9, 'size', **alignment)
+sizes = [
+    'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large']
+for k, size in enumerate(sizes):
+    fig.text(0.9, yp[k], size, size=size, **alignment)
+
+# Show bold italic
+fig.text(0.3, 0.1, 'bold italic',
+         style='italic', weight='bold', size='x-small', **alignment)
+fig.text(0.3, 0.2, 'bold italic',
+         style='italic', weight='bold', size='medium', **alignment)
+fig.text(0.3, 0.3, 'bold italic',
+         style='italic', weight='bold', size='x-large', **alignment)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/label_subplots.py b/galleries/examples/text_labels_and_annotations/label_subplots.py
new file mode 100644
index 000000000000..aa7b94cb74fe
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/label_subplots.py
@@ -0,0 +1,74 @@
+"""
+==================
+Labelling subplots
+==================
+
+Labelling subplots is relatively straightforward, and varies, so Matplotlib
+does not have a general method for doing this.
+
+We showcase two methods to position text at a given physical offset (in
+fontsize units or in points) away from a corner of the Axes: one using
+`~.Axes.annotate`, and one using `.ScaledTranslation`.
+
+For convenience, this example uses `.pyplot.subplot_mosaic` and subplot
+labels as keys for the subplots.  However, the approach also works with
+`.pyplot.subplots` or keys that are different from what you want to label the
+subplot with.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.transforms import ScaledTranslation
+
+# %%
+fig, axs = plt.subplot_mosaic([['a)', 'c)'], ['b)', 'c)'], ['d)', 'd)']],
+                              layout='constrained')
+for label, ax in axs.items():
+    # Use Axes.annotate to put the label
+    # - at the top left corner (axes fraction (0, 1)),
+    # - offset half-a-fontsize right and half-a-fontsize down
+    #   (offset fontsize (+0.5, -0.5)),
+    # i.e. just inside the axes.
+    ax.annotate(
+        label,
+        xy=(0, 1), xycoords='axes fraction',
+        xytext=(+0.5, -0.5), textcoords='offset fontsize',
+        fontsize='medium', verticalalignment='top', fontfamily='serif',
+        bbox=dict(facecolor='0.7', edgecolor='none', pad=3.0))
+
+# %%
+fig, axs = plt.subplot_mosaic([['a)', 'c)'], ['b)', 'c)'], ['d)', 'd)']],
+                              layout='constrained')
+for label, ax in axs.items():
+    # Use ScaledTranslation to put the label
+    # - at the top left corner (axes fraction (0, 1)),
+    # - offset 20 pixels left and 7 pixels up (offset points (-20, +7)),
+    # i.e. just outside the axes.
+    ax.text(
+        0.0, 1.0, label, transform=(
+            ax.transAxes + ScaledTranslation(-20/72, +7/72, fig.dpi_scale_trans)),
+        fontsize='medium', va='bottom', fontfamily='serif')
+
+# %%
+# If we want it aligned with the title, either incorporate in the title or
+# use the *loc* keyword argument:
+
+fig, axs = plt.subplot_mosaic([['a)', 'c)'], ['b)', 'c)'], ['d)', 'd)']],
+                              layout='constrained')
+for label, ax in axs.items():
+    ax.set_title('Normal Title', fontstyle='italic')
+    ax.set_title(label, fontfamily='serif', loc='left', fontsize='medium')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.subplot_mosaic` /
+#      `matplotlib.pyplot.subplot_mosaic`
+#    - `matplotlib.axes.Axes.set_title`
+#    - `matplotlib.axes.Axes.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/legend.py b/galleries/examples/text_labels_and_annotations/legend.py
new file mode 100644
index 000000000000..82e7fdcc4544
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/legend.py
@@ -0,0 +1,44 @@
+"""
+===============================
+Legend using pre-defined labels
+===============================
+
+Defining legend labels with plots.
+"""
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Make some fake data.
+a = b = np.arange(0, 3, .02)
+c = np.exp(a)
+d = c[::-1]
+
+# Create plots with pre-defined labels.
+fig, ax = plt.subplots()
+ax.plot(a, c, 'k--', label='Model length')
+ax.plot(a, d, 'k:', label='Data length')
+ax.plot(a, c + d, 'k', label='Total message length')
+
+legend = ax.legend(loc='upper center', shadow=True, fontsize='x-large')
+
+# Put a nicer background color on the legend.
+legend.get_frame().set_facecolor('C0')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
+#    - `matplotlib.axes.Axes.legend` / `matplotlib.pyplot.legend`
+#
+# .. seealso::
+#
+#    The :ref:`legend_guide` contains an in depth discussion on the configuration
+#    options for legends.
diff --git a/galleries/examples/text_labels_and_annotations/legend_demo.py b/galleries/examples/text_labels_and_annotations/legend_demo.py
new file mode 100644
index 000000000000..ea948eb4ba14
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/legend_demo.py
@@ -0,0 +1,187 @@
+"""
+===========
+Legend Demo
+===========
+
+There are many ways to create and customize legends in Matplotlib. Below
+we'll show a few examples for how to do so.
+
+First we'll show off how to make a legend for specific lines.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.collections as mcol
+from matplotlib.legend_handler import HandlerLineCollection, HandlerTuple
+from matplotlib.lines import Line2D
+
+t1 = np.arange(0.0, 2.0, 0.1)
+t2 = np.arange(0.0, 2.0, 0.01)
+
+fig, ax = plt.subplots()
+
+# note that plot returns a list of lines.  The "l1, = plot" usage
+# extracts the first element of the list into l1 using tuple
+# unpacking.  So l1 is a Line2D instance, not a sequence of lines
+l1, = ax.plot(t2, np.exp(-t2))
+l2, l3 = ax.plot(t2, np.sin(2 * np.pi * t2), '--o', t1, np.log(1 + t1), '.')
+l4, = ax.plot(t2, np.exp(-t2) * np.sin(2 * np.pi * t2), 's-.')
+
+ax.legend((l2, l4), ('oscillatory', 'damped'), loc='upper right', shadow=True)
+ax.set_xlabel('time')
+ax.set_ylabel('volts')
+ax.set_title('Damped oscillation')
+plt.show()
+
+
+# %%
+# Next we'll demonstrate plotting more complex labels.
+
+x = np.linspace(0, 1)
+
+fig, (ax0, ax1) = plt.subplots(2, 1)
+
+# Plot the lines y=x**n for n=1..4.
+for n in range(1, 5):
+    ax0.plot(x, x**n, label=f"{n=}")
+leg = ax0.legend(loc="upper left", bbox_to_anchor=[0, 1],
+                 ncols=2, shadow=True, title="Legend", fancybox=True)
+leg.get_title().set_color("red")
+
+# Demonstrate some more complex labels.
+ax1.plot(x, x**2, label="multi\nline")
+half_pi = np.linspace(0, np.pi / 2)
+ax1.plot(np.sin(half_pi), np.cos(half_pi), label=r"$\frac{1}{2}\pi$")
+ax1.plot(x, 2**(x**2), label="$2^{x^2}$")
+ax1.legend(shadow=True, fancybox=True)
+
+plt.show()
+
+
+# %%
+# Here we attach legends to more complex plots.
+
+fig, axs = plt.subplots(3, 1, layout="constrained")
+top_ax, middle_ax, bottom_ax = axs
+
+top_ax.bar([0, 1, 2], [0.2, 0.3, 0.1], width=0.4, label="Bar 1",
+           align="center")
+top_ax.bar([0.5, 1.5, 2.5], [0.3, 0.2, 0.2], color="red", width=0.4,
+           label="Bar 2", align="center")
+top_ax.legend()
+
+middle_ax.errorbar([0, 1, 2], [2, 3, 1], xerr=0.4, fmt="s", label="test 1")
+middle_ax.errorbar([0, 1, 2], [3, 2, 4], yerr=0.3, fmt="o", label="test 2")
+middle_ax.errorbar([0, 1, 2], [1, 1, 3], xerr=0.4, yerr=0.3, fmt="^",
+                   label="test 3")
+middle_ax.legend()
+
+bottom_ax.stem([0.3, 1.5, 2.7], [1, 3.6, 2.7], label="stem test")
+bottom_ax.legend()
+
+plt.show()
+
+# %%
+# Now we'll showcase legend entries with more than one legend key.
+
+fig, (ax1, ax2) = plt.subplots(2, 1, layout='constrained')
+
+# First plot: two legend keys for a single entry
+p1 = ax1.scatter([1], [5], c='r', marker='s', s=100)
+p2 = ax1.scatter([3], [2], c='b', marker='o', s=100)
+# `plot` returns a list, but we want the handle - thus the comma on the left
+p3, = ax1.plot([1, 5], [4, 4], 'm-d')
+
+# Assign two of the handles to the same legend entry by putting them in a tuple
+# and using a generic handler map (which would be used for any additional
+# tuples of handles like (p1, p3)).
+l = ax1.legend([(p1, p3), p2], ['two keys', 'one key'], scatterpoints=1,
+               numpoints=1, handler_map={tuple: HandlerTuple(ndivide=None)})
+
+# Second plot: plot two bar charts on top of each other and change the padding
+# between the legend keys
+x_left = [1, 2, 3]
+y_pos = [1, 3, 2]
+y_neg = [2, 1, 4]
+
+rneg = ax2.bar(x_left, y_neg, width=0.5, color='w', hatch='///', label='-1')
+rpos = ax2.bar(x_left, y_pos, width=0.5, color='k', label='+1')
+
+# Treat each legend entry differently by using specific `HandlerTuple`s
+l = ax2.legend([(rpos, rneg), (rneg, rpos)], ['pad!=0', 'pad=0'],
+               handler_map={(rpos, rneg): HandlerTuple(ndivide=None),
+                            (rneg, rpos): HandlerTuple(ndivide=None, pad=0.)})
+plt.show()
+
+# %%
+# Finally, it is also possible to write custom classes that define
+# how to stylize legends.
+
+
+class HandlerDashedLines(HandlerLineCollection):
+    """
+    Custom Handler for LineCollection instances.
+    """
+    def create_artists(self, legend, orig_handle,
+                       xdescent, ydescent, width, height, fontsize, trans):
+        # figure out how many lines there are
+        numlines = len(orig_handle.get_segments())
+        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
+                                             width, height, fontsize)
+        leglines = []
+        # divide the vertical space where the lines will go
+        # into equal parts based on the number of lines
+        ydata = np.full_like(xdata, height / (numlines + 1))
+        # for each line, create the line at the proper location
+        # and set the dash pattern
+        for i in range(numlines):
+            legline = Line2D(xdata, ydata * (numlines - i) - ydescent)
+            self.update_prop(legline, orig_handle, legend)
+            # set color, dash pattern, and linewidth to that
+            # of the lines in linecollection
+            try:
+                color = orig_handle.get_colors()[i]
+            except IndexError:
+                color = orig_handle.get_colors()[0]
+            try:
+                dashes = orig_handle.get_dashes()[i]
+            except IndexError:
+                dashes = orig_handle.get_dashes()[0]
+            try:
+                lw = orig_handle.get_linewidths()[i]
+            except IndexError:
+                lw = orig_handle.get_linewidths()[0]
+            if dashes[1] is not None:
+                legline.set_dashes(dashes[1])
+            legline.set_color(color)
+            legline.set_transform(trans)
+            legline.set_linewidth(lw)
+            leglines.append(legline)
+        return leglines
+
+x = np.linspace(0, 5, 100)
+
+fig, ax = plt.subplots()
+colors = plt.rcParams['axes.prop_cycle'].by_key()['color'][:5]
+styles = ['solid', 'dashed', 'dashed', 'dashed', 'solid']
+for i, color, style in zip(range(5), colors, styles):
+    ax.plot(x, np.sin(x) - .1 * i, c=color, ls=style)
+
+# make proxy artists
+# make list of one line -- doesn't matter what the coordinates are
+line = [[(0, 0)]]
+# set up the proxy artist
+lc = mcol.LineCollection(5 * line, linestyles=styles, colors=colors)
+# create the legend
+ax.legend([lc], ['multi-line'], handler_map={type(lc): HandlerDashedLines()},
+          handlelength=2.5, handleheight=3)
+
+plt.show()
+
+# %%
+#
+# .. seealso::
+#
+#    The :ref:`legend_guide` contains an in depth discussion on the configuration
+#    options for legends.
diff --git a/galleries/examples/text_labels_and_annotations/line_with_text.py b/galleries/examples/text_labels_and_annotations/line_with_text.py
new file mode 100644
index 000000000000..22f5580b33ba
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/line_with_text.py
@@ -0,0 +1,89 @@
+"""
+=======================
+Artist within an artist
+=======================
+
+Override basic methods so an artist can contain another
+artist.  In this case, the line contains a Text instance to label it.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.lines as lines
+import matplotlib.text as mtext
+import matplotlib.transforms as mtransforms
+
+
+class MyLine(lines.Line2D):
+    def __init__(self, *args, **kwargs):
+        # we'll update the position when the line data is set
+        self.text = mtext.Text(0, 0, '')
+        super().__init__(*args, **kwargs)
+
+        # we can't access the label attr until *after* the line is
+        # initiated
+        self.text.set_text(self.get_label())
+
+    def set_figure(self, figure):
+        self.text.set_figure(figure)
+        super().set_figure(figure)
+
+    # Override the Axes property setter to set Axes on our children as well.
+    @lines.Line2D.axes.setter
+    def axes(self, new_axes):
+        self.text.axes = new_axes
+        lines.Line2D.axes.fset(self, new_axes)  # Call the superclass property setter.
+
+    def set_transform(self, transform):
+        # 2 pixel offset
+        texttrans = transform + mtransforms.Affine2D().translate(2, 2)
+        self.text.set_transform(texttrans)
+        super().set_transform(transform)
+
+    def set_data(self, x, y):
+        if len(x):
+            self.text.set_position((x[-1], y[-1]))
+
+        super().set_data(x, y)
+
+    def draw(self, renderer):
+        # draw my label at the end of the line with 2 pixel offset
+        super().draw(renderer)
+        self.text.draw(renderer)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig, ax = plt.subplots()
+x, y = np.random.rand(2, 20)
+line = MyLine(x, y, mfc='red', ms=12, label='line label')
+line.text.set_color('red')
+line.text.set_fontsize(16)
+
+ax.add_line(line)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.lines`
+#    - `matplotlib.lines.Line2D`
+#    - `matplotlib.lines.Line2D.set_data`
+#    - `matplotlib.artist`
+#    - `matplotlib.artist.Artist`
+#    - `matplotlib.artist.Artist.draw`
+#    - `matplotlib.artist.Artist.set_transform`
+#    - `matplotlib.text`
+#    - `matplotlib.text.Text`
+#    - `matplotlib.text.Text.set_color`
+#    - `matplotlib.text.Text.set_fontsize`
+#    - `matplotlib.text.Text.set_position`
+#    - `matplotlib.axes.Axes.add_line`
+#    - `matplotlib.transforms`
+#    - `matplotlib.transforms.Affine2D`
diff --git a/galleries/examples/text_labels_and_annotations/mathtext_asarray.py b/galleries/examples/text_labels_and_annotations/mathtext_asarray.py
new file mode 100644
index 000000000000..3c8a763451ea
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/mathtext_asarray.py
@@ -0,0 +1,60 @@
+"""
+=======================
+Convert texts to images
+=======================
+"""
+
+from io import BytesIO
+
+import matplotlib.pyplot as plt
+
+from matplotlib.figure import Figure
+from matplotlib.transforms import IdentityTransform
+
+
+def text_to_rgba(s, *, dpi, **kwargs):
+    # To convert a text string to an image, we can:
+    # - draw it on an empty and transparent figure;
+    # - save the figure to a temporary buffer using ``bbox_inches="tight",
+    #   pad_inches=0`` which will pick the correct area to save;
+    # - load the buffer using ``plt.imread``.
+    #
+    # (If desired, one can also directly save the image to the filesystem.)
+    fig = Figure(facecolor="none")
+    fig.text(0, 0, s, **kwargs)
+    with BytesIO() as buf:
+        fig.savefig(buf, dpi=dpi, format="png", bbox_inches="tight",
+                    pad_inches=0)
+        buf.seek(0)
+        rgba = plt.imread(buf)
+    return rgba
+
+
+fig = plt.figure()
+rgba1 = text_to_rgba(r"IQ: $\sigma_i=15$", color="blue", fontsize=20, dpi=200)
+rgba2 = text_to_rgba(r"some other string", color="red", fontsize=20, dpi=200)
+# One can then draw such text images to a Figure using `.Figure.figimage`.
+fig.figimage(rgba1, 100, 50)
+fig.figimage(rgba2, 100, 150)
+
+# One can also directly draw texts to a figure with positioning
+# in pixel coordinates by using `.Figure.text` together with
+# `.transforms.IdentityTransform`.
+fig.text(100, 250, r"IQ: $\sigma_i=15$", color="blue", fontsize=20,
+         transform=IdentityTransform())
+fig.text(100, 350, r"some other string", color="red", fontsize=20,
+         transform=IdentityTransform())
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.figimage`
+#    - `matplotlib.figure.Figure.text`
+#    - `matplotlib.transforms.IdentityTransform`
+#    - `matplotlib.image.imread`
diff --git a/galleries/examples/text_labels_and_annotations/mathtext_demo.py b/galleries/examples/text_labels_and_annotations/mathtext_demo.py
new file mode 100644
index 000000000000..c41596b91f49
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/mathtext_demo.py
@@ -0,0 +1,26 @@
+"""
+========
+Mathtext
+========
+
+Use Matplotlib's internal LaTeX parser and layout engine.  For true LaTeX
+rendering, see the text.usetex option.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+ax.plot([1, 2, 3], label=r'$\sqrt{x^2}$')
+ax.legend()
+
+ax.set_xlabel(r'$\Delta_i^j$', fontsize=20)
+ax.set_ylabel(r'$\Delta_{i+1}^j$', fontsize=20)
+ax.set_title(r'$\Delta_i^j \hspace{0.4} \mathrm{versus} \hspace{0.4} '
+             r'\Delta_{i+1}^j$', fontsize=20)
+
+tex = r'$\mathcal{R}\prod_{i=\alpha_{i+1}}^\infty a_i\sin(2 \pi f x_i)$'
+ax.text(1, 1.6, tex, fontsize=20, va='bottom')
+
+fig.tight_layout()
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/mathtext_examples.py b/galleries/examples/text_labels_and_annotations/mathtext_examples.py
new file mode 100644
index 000000000000..f9f8e628e08b
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/mathtext_examples.py
@@ -0,0 +1,120 @@
+"""
+========================
+Mathematical expressions
+========================
+
+Selected features of Matplotlib's math rendering engine.
+"""
+import re
+import subprocess
+import sys
+
+import matplotlib.pyplot as plt
+
+# Selection of features following "Writing mathematical expressions" tutorial,
+# with randomly picked examples.
+mathtext_demos = {
+    "Header demo":
+        r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
+        r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} "
+        r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ "
+        r"U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_"
+        r"{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$",
+
+    "Subscripts and superscripts":
+        r"$\alpha_i > \beta_i,\ "
+        r"\alpha_{i+1}^j = {\rm sin}(2\pi f_j t_i) e^{-5 t_i/\tau},\ "
+        r"\ldots$",
+
+    "Fractions, binomials and stacked numbers":
+        r"$\frac{3}{4},\ \binom{3}{4},\ \genfrac{}{}{0}{}{3}{4},\ "
+        r"\left(\frac{5 - \frac{1}{x}}{4}\right),\ \ldots$",
+
+    "Radicals":
+        r"$\sqrt{2},\ \sqrt[3]{x},\ \ldots$",
+
+    "Fonts":
+        r"$\mathrm{Roman}\ , \ \mathit{Italic}\ , \ \mathtt{Typewriter} \ "
+        r"\mathrm{or}\ \mathcal{CALLIGRAPHY}$",
+
+    "Accents":
+        r"$\acute a,\ \bar a,\ \breve a,\ \dot a,\ \ddot a, \ \grave a, \ "
+        r"\hat a,\ \tilde a,\ \vec a,\ \widehat{xyz},\ \widetilde{xyz},\ "
+        r"\ldots$",
+
+    "Greek, Hebrew":
+        r"$\alpha,\ \beta,\ \chi,\ \delta,\ \lambda,\ \mu,\ "
+        r"\Delta,\ \Gamma,\ \Omega,\ \Phi,\ \Pi,\ \Upsilon,\ \nabla,\ "
+        r"\aleph,\ \beth,\ \daleth,\ \gimel,\ \ldots$",
+
+    "Delimiters, functions and Symbols":
+        r"$\coprod,\ \int,\ \oint,\ \prod,\ \sum,\ "
+        r"\log,\ \sin,\ \approx,\ \oplus,\ \star,\ \varpropto,\ "
+        r"\infty,\ \partial,\ \Re,\ \leftrightsquigarrow, \ \ldots$",
+}
+n_lines = len(mathtext_demos)
+
+
+def doall():
+    # Colors used in Matplotlib online documentation.
+    mpl_grey_rgb = (51 / 255, 51 / 255, 51 / 255)
+
+    # Creating figure and axis.
+    fig = plt.figure(figsize=(7, 7))
+    ax = fig.add_axes([0.01, 0.01, 0.98, 0.90],
+                      facecolor="white", frameon=True)
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+    ax.set_title("Matplotlib's math rendering engine",
+                 color=mpl_grey_rgb, fontsize=14, weight='bold')
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+    # Gap between lines in axes coords
+    line_axesfrac = 1 / n_lines
+
+    # Plot header demonstration formula.
+    full_demo = mathtext_demos['Header demo']
+    ax.annotate(full_demo,
+                xy=(0.5, 1. - 0.59 * line_axesfrac),
+                color='tab:orange', ha='center', fontsize=20)
+
+    # Plot feature demonstration formulae.
+    for i_line, (title, demo) in enumerate(mathtext_demos.items()):
+        print(i_line, demo)
+        if i_line == 0:
+            continue
+
+        baseline = 1 - i_line * line_axesfrac
+        baseline_next = baseline - line_axesfrac
+        fill_color = ['white', 'tab:blue'][i_line % 2]
+        ax.axhspan(baseline, baseline_next, color=fill_color, alpha=0.2)
+        ax.annotate(f'{title}:',
+                    xy=(0.06, baseline - 0.3 * line_axesfrac),
+                    color=mpl_grey_rgb, weight='bold')
+        ax.annotate(demo,
+                    xy=(0.04, baseline - 0.75 * line_axesfrac),
+                    color=mpl_grey_rgb, fontsize=16)
+
+    plt.show()
+
+
+if '--latex' in sys.argv:
+    # Run: python mathtext_examples.py --latex
+    # Need amsmath and amssymb packages.
+    with open("mathtext_examples.ltx", "w") as fd:
+        fd.write("\\documentclass{article}\n")
+        fd.write("\\usepackage{amsmath, amssymb}\n")
+        fd.write("\\begin{document}\n")
+        fd.write("\\begin{enumerate}\n")
+
+        for s in mathtext_demos.values():
+            s = re.sub(r"(?<!\\)\$", "$$", s)
+            fd.write("\\item %s\n" % s)
+
+        fd.write("\\end{enumerate}\n")
+        fd.write("\\end{document}\n")
+
+    subprocess.call(["pdflatex", "mathtext_examples.ltx"])
+else:
+    doall()
diff --git a/galleries/examples/text_labels_and_annotations/mathtext_fontfamily_example.py b/galleries/examples/text_labels_and_annotations/mathtext_fontfamily_example.py
new file mode 100644
index 000000000000..3dd480a5fa14
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/mathtext_fontfamily_example.py
@@ -0,0 +1,37 @@
+"""
+===============
+Math fontfamily
+===============
+
+A simple example showcasing the new *math_fontfamily* parameter that can
+be used to change the family of fonts for each individual text
+element in a plot.
+
+If no parameter is set, the global value
+:rc:`mathtext.fontset` will be used.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(6, 5))
+
+# A simple plot for the background.
+ax.plot(range(11), color="0.9")
+
+# A text mixing normal text and math text.
+msg = (r"Normal Text. $Text\ in\ math\ mode:\ "
+       r"\int_{0}^{\infty } x^2 dx$")
+
+# Set the text in the plot.
+ax.text(1, 7, msg, size=12, math_fontfamily='cm')
+
+# Set another font for the next text.
+ax.text(1, 3, msg, size=12, math_fontfamily='dejavuserif')
+
+# *math_fontfamily* can be used in most places where there is text,
+# like in the title:
+ax.set_title(r"$Title\ in\ math\ mode:\ \int_{0}^{\infty } x^2 dx$",
+             math_fontfamily='stixsans', size=14)
+
+# Note that the normal text is not changed by *math_fontfamily*.
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/multiline.py b/galleries/examples/text_labels_and_annotations/multiline.py
new file mode 100644
index 000000000000..2aa6fea8c1af
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/multiline.py
@@ -0,0 +1,45 @@
+"""
+=========
+Multiline
+=========
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(7, 4))
+
+ax0.set_aspect(1)
+ax0.plot(np.arange(10))
+ax0.set_xlabel('this is a xlabel\n(with newlines!)')
+ax0.set_ylabel('this is vertical\ntest', multialignment='center')
+ax0.text(2, 7, 'this is\nyet another test',
+         rotation=45,
+         horizontalalignment='center',
+         verticalalignment='top',
+         multialignment='center')
+
+ax0.grid()
+
+
+ax1.text(0.29, 0.4, "Mat\nTTp\n123", size=18,
+         va="baseline", ha="right", multialignment="left",
+         bbox=dict(fc="none"))
+
+ax1.text(0.34, 0.4, "Mag\nTTT\n123", size=18,
+         va="baseline", ha="left", multialignment="left",
+         bbox=dict(fc="none"))
+
+ax1.text(0.95, 0.4, "Mag\nTTT$^{A^A}$\n123", size=18,
+         va="baseline", ha="right", multialignment="left",
+         bbox=dict(fc="none"))
+
+ax1.set_xticks([0.2, 0.4, 0.6, 0.8, 1.],
+               labels=["Jan\n2009", "Feb\n2009", "Mar\n2009", "Apr\n2009",
+                       "May\n2009"])
+
+ax1.axhline(0.4)
+ax1.set_title("test line spacing for multiline text")
+
+fig.subplots_adjust(bottom=0.25, top=0.75)
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/placing_text_boxes.py b/galleries/examples/text_labels_and_annotations/placing_text_boxes.py
new file mode 100644
index 000000000000..7cf49bf6e0bb
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/placing_text_boxes.py
@@ -0,0 +1,36 @@
+"""
+Placing text boxes
+==================
+
+When decorating Axes with text boxes, two useful tricks are to place the text
+in axes coordinates (see :ref:`transforms_tutorial`),
+so the text doesn't move around with changes in x or y limits.  You
+can also use the ``bbox`` property of text to surround the text with a
+`~matplotlib.patches.Patch` instance -- the ``bbox`` keyword argument takes a
+dictionary with keys that are Patch properties.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+x = 30*np.random.randn(10000)
+mu = x.mean()
+median = np.median(x)
+sigma = x.std()
+textstr = '\n'.join((
+    r'$\mu=%.2f$' % (mu, ),
+    r'$\mathrm{median}=%.2f$' % (median, ),
+    r'$\sigma=%.2f$' % (sigma, )))
+
+ax.hist(x, 50)
+# these are matplotlib.patch.Patch properties
+props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
+
+# place a text box in upper left in axes coords
+ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
+        verticalalignment='top', bbox=props)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/rainbow_text.py b/galleries/examples/text_labels_and_annotations/rainbow_text.py
new file mode 100644
index 000000000000..4c14f8289cbc
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/rainbow_text.py
@@ -0,0 +1,31 @@
+"""
+==================================================
+Concatenate text objects with different properties
+==================================================
+
+The example strings together several Text objects with different properties
+(e.g., color or font), positioning each one after the other.  The first Text
+is created directly using `~.Axes.text`; all subsequent ones are created with
+`~.Axes.annotate`, which allows positioning the Text's lower left corner at the
+lower right corner (``xy=(1, 0)``) of the previous one (``xycoords=text``).
+"""
+
+import matplotlib.pyplot as plt
+
+plt.rcParams["font.size"] = 20
+ax = plt.figure().add_subplot(xticks=[], yticks=[])
+
+# The first word, created with text().
+text = ax.text(.1, .5, "Matplotlib", color="red")
+# Subsequent words, positioned with annotate(), relative to the preceding one.
+text = ax.annotate(
+    " says,", xycoords=text, xy=(1, 0), verticalalignment="bottom",
+    color="gold", weight="bold")  # custom properties
+text = ax.annotate(
+    " hello", xycoords=text, xy=(1, 0), verticalalignment="bottom",
+    color="green", style="italic")  # custom properties
+text = ax.annotate(
+    " world!", xycoords=text, xy=(1, 0), verticalalignment="bottom",
+    color="blue", family="serif")  # custom properties
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/stix_fonts_demo.py b/galleries/examples/text_labels_and_annotations/stix_fonts_demo.py
new file mode 100644
index 000000000000..7852b3e0b09f
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/stix_fonts_demo.py
@@ -0,0 +1,31 @@
+"""
+==========
+STIX Fonts
+==========
+
+Demonstration of `STIX Fonts <https://www.stixfonts.org/>`_ used in LaTeX
+rendering.
+"""
+
+import matplotlib.pyplot as plt
+
+circle123 = "\N{CIRCLED DIGIT ONE}\N{CIRCLED DIGIT TWO}\N{CIRCLED DIGIT THREE}"
+
+tests = [
+    r'$%s\;\mathrm{%s}\;\mathbf{%s}$' % ((circle123,) * 3),
+    r'$\mathsf{Sans \Omega}\;\mathrm{\mathsf{Sans \Omega}}\;'
+    r'\mathbf{\mathsf{Sans \Omega}}$',
+    r'$\mathtt{Monospace}$',
+    r'$\mathcal{CALLIGRAPHIC}$',
+    r'$\mathbb{Blackboard\;\pi}$',
+    r'$\mathrm{\mathbb{Blackboard\;\pi}}$',
+    r'$\mathbf{\mathbb{Blackboard\;\pi}}$',
+    r'$\mathfrak{Fraktur}\;\mathbf{\mathfrak{Fraktur}}$',
+    r'$\mathscr{Script}$',
+]
+
+fig = plt.figure(figsize=(8, len(tests) + 2))
+for i, s in enumerate(tests[::-1]):
+    fig.text(0, (i + .5) / len(tests), s, fontsize=32)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/tex_demo.py b/galleries/examples/text_labels_and_annotations/tex_demo.py
new file mode 100644
index 000000000000..df040c5a866a
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/tex_demo.py
@@ -0,0 +1,92 @@
+"""
+===============================
+Render math equations using TeX
+===============================
+
+You can use TeX to render all of your Matplotlib text by setting
+:rc:`text.usetex` to True.  This requires that you have TeX and the other
+dependencies described in the :ref:`usetex` tutorial properly
+installed on your system.  Matplotlib caches processed TeX expressions, so that
+only the first occurrence of an expression triggers a TeX compilation. Later
+occurrences reuse the rendered image from the cache and are thus faster.
+
+Unicode input is supported, e.g. for the y-axis label in this example.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.rcParams['text.usetex'] = True
+
+
+t = np.linspace(0.0, 1.0, 100)
+s = np.cos(4 * np.pi * t) + 2
+
+fig, ax = plt.subplots(figsize=(6, 4), tight_layout=True)
+ax.plot(t, s)
+
+ax.set_xlabel(r'\textbf{time (s)}')
+ax.set_ylabel('\\textit{Velocity (\N{DEGREE SIGN}/sec)}', fontsize=16)
+ax.set_title(r'\TeX\ is Number $\displaystyle\sum_{n=1}^\infty'
+             r'\frac{-e^{i\pi}}{2^n}$!', fontsize=16, color='r')
+
+# %%
+# A more complex example.
+
+fig, ax = plt.subplots()
+# interface tracking profiles
+N = 500
+delta = 0.6
+X = np.linspace(-1, 1, N)
+ax.plot(X, (1 - np.tanh(4 * X / delta)) / 2,    # phase field tanh profiles
+        X, (1.4 + np.tanh(4 * X / delta)) / 4, "C2",  # composition profile
+        X, X < 0, "k--")                        # sharp interface
+
+# legend
+ax.legend(("phase field", "level set", "sharp interface"),
+          shadow=True, loc=(0.01, 0.48), handlelength=1.5, fontsize=16)
+
+# the arrow
+ax.annotate("", xy=(-delta / 2., 0.1), xytext=(delta / 2., 0.1),
+            arrowprops=dict(arrowstyle="<->", connectionstyle="arc3"))
+ax.text(0, 0.1, r"$\delta$",
+        color="black", fontsize=24,
+        horizontalalignment="center", verticalalignment="center",
+        bbox=dict(boxstyle="round", fc="white", ec="black", pad=0.2))
+
+# Use tex in labels
+ax.set_xticks([-1, 0, 1])
+ax.set_xticklabels(["$-1$", r"$\pm 0$", "$+1$"], color="k", size=20)
+
+# Left Y-axis labels, combine math mode and text mode
+ax.set_ylabel(r"\bf{phase field} $\phi$", color="C0", fontsize=20)
+ax.set_yticks([0, 0.5, 1])
+ax.set_yticklabels([r"\bf{0}", r"\bf{.5}", r"\bf{1}"], color="k", size=20)
+
+# Right Y-axis labels
+ax.text(1.02, 0.5, r"\bf{level set} $\phi$",
+        color="C2", fontsize=20, rotation=90,
+        horizontalalignment="left", verticalalignment="center",
+        clip_on=False, transform=ax.transAxes)
+
+# Use multiline environment inside a `text`.
+# level set equations
+eq1 = (r"\begin{eqnarray*}"
+       r"|\nabla\phi| &=& 1,\\"
+       r"\frac{\partial \phi}{\partial t} + U|\nabla \phi| &=& 0 "
+       r"\end{eqnarray*}")
+ax.text(1, 0.9, eq1, color="C2", fontsize=18,
+        horizontalalignment="right", verticalalignment="top")
+
+# phase field equations
+eq2 = (r"\begin{eqnarray*}"
+       r"\mathcal{F} &=& \int f\left( \phi, c \right) dV, \\ "
+       r"\frac{ \partial \phi } { \partial t } &=& -M_{ \phi } "
+       r"\frac{ \delta \mathcal{F} } { \delta \phi }"
+       r"\end{eqnarray*}")
+ax.text(0.18, 0.18, eq2, color="C0", fontsize=16)
+
+ax.text(-1, .30, r"gamma: $\gamma$", color="r", fontsize=20)
+ax.text(-1, .18, r"Omega: $\Omega$", color="b", fontsize=20)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/text_alignment.py b/galleries/examples/text_labels_and_annotations/text_alignment.py
new file mode 100644
index 000000000000..4c0351e0bbc5
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/text_alignment.py
@@ -0,0 +1,119 @@
+"""
+==============
+Text alignment
+==============
+
+Texts are aligned relative to their anchor point depending on the properties
+``horizontalalignment`` (default: ``left``) and ``verticalalignment``
+(default: ``baseline``.)
+
+.. redirect-from:: /gallery/pyplots/text_layout
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    y = [0.22, 0.34, 0.5, 0.56, 0.78]
+    x = [0.17, 0.5, 0.855]
+    X, Y = np.meshgrid(x, y)
+
+    fig, ax = plt.subplots(figsize=(6, 4), dpi=100)
+    ax.set(xlim=(0, 1), ylim=(0, 1), xticks=[], yticks=[])
+    ax.spines[:].set_visible(False)
+    ax.text(0.5, 0.5, 'plot', fontsize=128, ha='center', va='center', zorder=1)
+    ax.hlines(y, x[0], x[-1], color='grey')
+    ax.vlines(x, y[0], y[-1], color='grey')
+    ax.plot(X.ravel(), Y.ravel(), 'o')
+    pad_x = 0.02
+    pad_y = 0.04
+    ax.text(x[0] - pad_x, y[0], 'bottom', ha='right', va='center')
+    ax.text(x[0] - pad_x, y[1], 'baseline', ha='right', va='center')
+    ax.text(x[0] - pad_x, y[2], 'center', ha='right', va='center')
+    ax.text(x[0] - pad_x, y[3], 'center_baseline', ha='right', va='center')
+    ax.text(x[0] - pad_x, y[4], 'top', ha='right', va='center')
+    ax.text(x[0], y[0] - pad_y, 'left', ha='center', va='top')
+    ax.text(x[1], y[0] - pad_y, 'center', ha='center', va='top')
+    ax.text(x[2], y[0] - pad_y, 'right', ha='center', va='top')
+    ax.set_xlabel('horizontalalignment', fontsize=14)
+    ax.set_ylabel('verticalalignment', fontsize=14, labelpad=35)
+    ax.set_title(
+        'Relative position of text anchor point depending on alignment')
+    plt.show()
+
+"""
+
+# %%
+# The following plot uses this to align text relative to a plotted rectangle.
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+# Build a rectangle in axes coords
+left, width = .25, .5
+bottom, height = .25, .5
+right = left + width
+top = bottom + height
+p = plt.Rectangle((left, bottom), width, height, fill=False)
+p.set_transform(ax.transAxes)
+p.set_clip_on(False)
+ax.add_patch(p)
+
+ax.text(left, bottom, 'left top',
+        horizontalalignment='left',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, bottom, 'left bottom',
+        horizontalalignment='left',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right bottom',
+        horizontalalignment='right',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right top',
+        horizontalalignment='right',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(right, bottom, 'center top',
+        horizontalalignment='center',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5 * (bottom + top), 'right center',
+        horizontalalignment='right',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5 * (bottom + top), 'left center',
+        horizontalalignment='left',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(0.5 * (left + right), 0.5 * (bottom + top), 'middle',
+        horizontalalignment='center',
+        verticalalignment='center',
+        transform=ax.transAxes)
+
+ax.text(right, 0.5 * (bottom + top), 'centered',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, top, 'rotated\nwith newlines',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation=45,
+        transform=ax.transAxes)
+
+ax.set_axis_off()
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/text_commands.py b/galleries/examples/text_labels_and_annotations/text_commands.py
new file mode 100644
index 000000000000..0650ff53bd5d
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/text_commands.py
@@ -0,0 +1,58 @@
+"""
+===============
+Text properties
+===============
+
+Plotting text of many different kinds.
+
+.. redirect-from:: /gallery/pyplots/text_commands
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')
+
+ax = fig.add_subplot()
+fig.subplots_adjust(top=0.85)
+ax.set_title('axes title')
+
+ax.set_xlabel('xlabel')
+ax.set_ylabel('ylabel')
+
+ax.text(3, 8, 'boxed italics text in data coords', style='italic',
+        bbox={'facecolor': 'red', 'alpha': 0.5, 'pad': 10})
+
+ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)
+
+ax.text(3, 2, 'Unicode: Institut f\374r Festk\366rperphysik')
+
+ax.text(0.95, 0.01, 'colored text in axes coords',
+        verticalalignment='bottom', horizontalalignment='right',
+        transform=ax.transAxes,
+        color='green', fontsize=15)
+
+
+ax.plot([2], [1], 'o')
+ax.annotate('annotate', xy=(2, 1), xytext=(3, 4),
+            arrowprops=dict(facecolor='black', shrink=0.05))
+
+ax.set(xlim=(0, 10), ylim=(0, 10))
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.suptitle`
+#    - `matplotlib.figure.Figure.add_subplot`
+#    - `matplotlib.figure.Figure.subplots_adjust`
+#    - `matplotlib.axes.Axes.set_title`
+#    - `matplotlib.axes.Axes.set_xlabel`
+#    - `matplotlib.axes.Axes.set_ylabel`
+#    - `matplotlib.axes.Axes.text`
+#    - `matplotlib.axes.Axes.annotate`
diff --git a/galleries/examples/text_labels_and_annotations/text_fontdict.py b/galleries/examples/text_labels_and_annotations/text_fontdict.py
new file mode 100644
index 000000000000..b8ff4c7c9353
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/text_fontdict.py
@@ -0,0 +1,30 @@
+"""
+=======================================================
+Controlling style of text and labels using a dictionary
+=======================================================
+
+This example shows how to share parameters across many text objects and labels
+by creating a dictionary of options passed across several functions.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+font = {'family': 'serif',
+        'color':  'darkred',
+        'weight': 'normal',
+        'size': 16,
+        }
+
+x = np.linspace(0.0, 5.0, 100)
+y = np.cos(2*np.pi*x) * np.exp(-x)
+
+plt.plot(x, y, 'k')
+plt.title('Damped exponential decay', fontdict=font)
+plt.text(2, 0.65, r'$\cos(2 \pi t) \exp(-t)$', fontdict=font)
+plt.xlabel('time (s)', fontdict=font)
+plt.ylabel('voltage (mV)', fontdict=font)
+
+# Tweak spacing to prevent clipping of ylabel
+plt.subplots_adjust(left=0.15)
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/text_rotation_relative_to_line.py b/galleries/examples/text_labels_and_annotations/text_rotation_relative_to_line.py
new file mode 100644
index 000000000000..78bc9a647af9
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/text_rotation_relative_to_line.py
@@ -0,0 +1,32 @@
+"""
+=======================================
+Text rotation angle in data coordinates
+=======================================
+
+Text objects in matplotlib are normally rotated with respect to the
+screen coordinate system (i.e., 45 degrees rotation plots text along a
+line that is in between horizontal and vertical no matter how the axes
+are changed).  However, at times one wants to rotate text with respect
+to something on the plot.  In this case, the correct angle won't be
+the angle of that object in the plot coordinate system, but the angle
+that that object APPEARS in the screen coordinate system.  This angle
+can be determined automatically by setting the parameter
+*transform_rotates_text*, as shown in the example below.
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+# Plot diagonal line (45 degrees in data coordinates)
+ax.plot(range(0, 8), range(0, 8))
+ax.set_xlim([-10, 10])
+
+# Plot text
+ax.text(-8, 0, 'text 45° in screen coordinates', fontsize=18,
+        rotation=45, rotation_mode='anchor')
+ax.text(0, 0, 'text 45° in data coordinates', fontsize=18,
+        rotation=45, rotation_mode='anchor',
+        transform_rotates_text=True)
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/titles_demo.py b/galleries/examples/text_labels_and_annotations/titles_demo.py
new file mode 100644
index 000000000000..6fc0e350fdb2
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/titles_demo.py
@@ -0,0 +1,59 @@
+"""
+=================
+Title positioning
+=================
+
+Matplotlib can display plot titles centered, flush with the left side of
+a set of Axes, and flush with the right side of a set of Axes.
+
+"""
+import matplotlib.pyplot as plt
+
+plt.plot(range(10))
+
+plt.title('Center Title')
+plt.title('Left Title', loc='left')
+plt.title('Right Title', loc='right')
+
+plt.show()
+
+# %%
+# The vertical position is automatically chosen to avoid decorations
+# (i.e. labels and ticks) on the topmost x-axis:
+
+fig, axs = plt.subplots(1, 2, layout='constrained')
+
+ax = axs[0]
+ax.plot(range(10))
+ax.xaxis.set_label_position('top')
+ax.set_xlabel('X-label')
+ax.set_title('Center Title')
+
+ax = axs[1]
+ax.plot(range(10))
+ax.xaxis.set_label_position('top')
+ax.xaxis.tick_top()
+ax.set_xlabel('X-label')
+ax.set_title('Center Title')
+plt.show()
+
+# %%
+# Automatic positioning can be turned off by manually specifying the *y*
+# keyword argument for the title or setting :rc:`axes.titley` in the rcParams.
+
+fig, axs = plt.subplots(1, 2, layout='constrained')
+
+ax = axs[0]
+ax.plot(range(10))
+ax.xaxis.set_label_position('top')
+ax.set_xlabel('X-label')
+ax.set_title('Manual y', y=1.0, pad=-14)
+
+plt.rcParams['axes.titley'] = 1.0    # y is in axes-relative coordinates.
+plt.rcParams['axes.titlepad'] = -14  # pad is in points...
+ax = axs[1]
+ax.plot(range(10))
+ax.set_xlabel('X-label')
+ax.set_title('rcParam y')
+
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/unicode_minus.py b/galleries/examples/text_labels_and_annotations/unicode_minus.py
new file mode 100644
index 000000000000..ce7dba70089d
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/unicode_minus.py
@@ -0,0 +1,28 @@
+"""
+=============
+Unicode minus
+=============
+
+By default, tick labels at negative values are rendered using a `Unicode
+minus`__ (U+2212) rather than an ASCII hyphen (U+002D).  This can be controlled
+by setting :rc:`axes.unicode_minus`.
+
+__ https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
+
+The replacement is performed at draw time of the tick labels (usually during a
+`.pyplot.show()` or `.pyplot.savefig()` call). Therefore, all tick labels of
+the figure follow the same setting and we cannot demonstrate both glyphs on
+real tick labels of the same figure simultaneously.
+
+Instead, this example simply showcases the difference between the two glyphs
+in a magnified font.
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure(figsize=(4, 2))
+fig.text(.15, .6, "Unicode minus:", fontsize=20)
+fig.text(.85, .6, "\N{MINUS SIGN}1", ha='right', fontsize=20)
+fig.text(.15, .3, "ASCII hyphen:", fontsize=20)
+fig.text(.85, .3, "-1", ha='right', fontsize=20)
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/usetex_baseline_test.py b/galleries/examples/text_labels_and_annotations/usetex_baseline_test.py
new file mode 100644
index 000000000000..e529b1c8b2de
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/usetex_baseline_test.py
@@ -0,0 +1,25 @@
+"""
+====================
+Usetex text baseline
+====================
+
+Comparison of text baselines computed for mathtext and usetex.
+"""
+
+import matplotlib.pyplot as plt
+
+plt.rcParams.update({"mathtext.fontset": "cm", "mathtext.rm": "serif"})
+axs = plt.figure(figsize=(2 * 3, 6.5)).subplots(1, 2)
+for ax, usetex in zip(axs, [False, True]):
+    ax.axvline(0, color="r")
+    test_strings = ["lg", r"$\frac{1}{2}\pi$", r"$p^{3^A}$", r"$p_{3_2}$"]
+    for i, s in enumerate(test_strings):
+        ax.axhline(i, color="r")
+        ax.text(0., 3 - i, s,
+                usetex=usetex,
+                verticalalignment="baseline",
+                size=50,
+                bbox=dict(pad=0, ec="k", fc="none"))
+    ax.set(xlim=(-0.1, 1.1), ylim=(-.8, 3.9), xticks=[], yticks=[],
+           title=f"usetex={usetex}\n")
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/usetex_fonteffects.py b/galleries/examples/text_labels_and_annotations/usetex_fonteffects.py
new file mode 100644
index 000000000000..ba1c944536cb
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/usetex_fonteffects.py
@@ -0,0 +1,29 @@
+"""
+===================
+Usetex font effects
+===================
+
+This script demonstrates that font effects specified in your pdftex.map
+are now supported in usetex mode.
+"""
+
+import matplotlib.pyplot as plt
+
+
+def setfont(font):
+    return rf'\font\a {font} at 14pt\a '
+
+
+fig = plt.figure()
+for y, font, text in zip(
+    range(5),
+    ['ptmr8r', 'ptmri8r', 'ptmro8r', 'ptmr8rn', 'ptmrr8re'],
+    [f'Nimbus Roman No9 L {x}'
+     for x in ['', 'Italics (real italics for comparison)',
+               '(slanted)', '(condensed)', '(extended)']],
+):
+    fig.text(.1, 1 - (y + 1) / 6, setfont(font) + text, usetex=True)
+
+fig.suptitle('Usetex font effects')
+# Would also work if saving to pdf.
+plt.show()
diff --git a/galleries/examples/text_labels_and_annotations/watermark_text.py b/galleries/examples/text_labels_and_annotations/watermark_text.py
new file mode 100644
index 000000000000..12fa022cba9c
--- /dev/null
+++ b/galleries/examples/text_labels_and_annotations/watermark_text.py
@@ -0,0 +1,32 @@
+"""
+==============
+Text watermark
+==============
+
+A watermark effect can be achieved by drawing a semi-transparent text.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+fig, ax = plt.subplots()
+ax.plot(np.random.rand(20), '-o', ms=20, lw=2, alpha=0.7, mfc='orange')
+ax.grid()
+
+ax.text(0.5, 0.5, 'created with matplotlib', transform=ax.transAxes,
+        fontsize=40, color='gray', alpha=0.5,
+        ha='center', va='center', rotation=30)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.figure.Figure.text`
diff --git a/galleries/examples/ticks/README.txt b/galleries/examples/ticks/README.txt
new file mode 100644
index 000000000000..82441a0d9ee7
--- /dev/null
+++ b/galleries/examples/ticks/README.txt
@@ -0,0 +1,4 @@
+.. _ticks_examples:
+
+Ticks
+=====
diff --git a/galleries/examples/ticks/auto_ticks.py b/galleries/examples/ticks/auto_ticks.py
new file mode 100644
index 000000000000..df7318b639d0
--- /dev/null
+++ b/galleries/examples/ticks/auto_ticks.py
@@ -0,0 +1,49 @@
+"""
+====================================
+Automatically setting tick positions
+====================================
+
+Setting the behavior of tick auto-placement.
+
+By default, Matplotlib will choose the number of ticks and tick positions so
+that there is a reasonable number of ticks on the axis and they are located
+at "round" numbers.
+
+As a result, there may be no ticks on the edges of the plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+dots = np.linspace(0.3, 1.2, 10)
+X, Y = np.meshgrid(dots, dots)
+x, y = X.ravel(), Y.ravel()
+ax.scatter(x, y, c=x+y)
+plt.show()
+
+# %%
+# If you want to keep ticks at round numbers, and also have ticks at the edges
+# you can switch :rc:`axes.autolimit_mode` to 'round_numbers'. This expands the
+# axis limits to the next round number.
+
+plt.rcParams['axes.autolimit_mode'] = 'round_numbers'
+
+# Note: The limits are calculated at draw-time. Therefore, when using
+# :rc:`axes.autolimit_mode` in a context manager, it is important that
+# the ``show()`` command is within the context.
+
+fig, ax = plt.subplots()
+ax.scatter(x, y, c=x+y)
+plt.show()
+
+# %%
+# The round numbers autolimit_mode is still respected if you set an additional
+# margin around the data using `.Axes.set_xmargin` / `.Axes.set_ymargin`:
+
+fig, ax = plt.subplots()
+ax.scatter(x, y, c=x+y)
+ax.set_xmargin(0.8)
+plt.show()
diff --git a/galleries/examples/ticks/centered_ticklabels.py b/galleries/examples/ticks/centered_ticklabels.py
new file mode 100644
index 000000000000..fa338ec590a9
--- /dev/null
+++ b/galleries/examples/ticks/centered_ticklabels.py
@@ -0,0 +1,42 @@
+"""
+===========================
+Center labels between ticks
+===========================
+
+Tick labels are aligned relative to their associated tick, and are by default
+centered.
+
+However, there is no direct way to center the labels between ticks. To fake
+this behavior, one can place a minor tick in between the major ticks. Then
+label the minor tick, and hide the minor tick lines and the major tick labels.
+
+Here is an example that labels the months, centered between the ticks.
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.cbook as cbook
+import matplotlib.dates as dates
+import matplotlib.ticker as ticker
+
+# Load some financial data; Google's stock price
+r = cbook.get_sample_data('goog.npz')['price_data']
+r = r[-250:]  # get the last 250 days
+
+fig, ax = plt.subplots()
+ax.plot(r["date"], r["adj_close"])
+
+ax.xaxis.set_major_locator(dates.MonthLocator())
+# 16 is a slight approximation since months differ in number of days.
+ax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=16))
+
+# The NullFormatter removes the major tick labels
+ax.xaxis.set_major_formatter(ticker.NullFormatter())
+ax.xaxis.set_minor_formatter(dates.DateFormatter('%b'))
+
+# Remove the minor tick lines
+ax.tick_params(axis='x', which='minor', tick1On=False, tick2On=False)
+
+imid = len(r) // 2
+ax.set_xlabel(str(r["date"][imid].item().year))
+plt.show()
diff --git a/galleries/examples/ticks/colorbar_tick_labelling_demo.py b/galleries/examples/ticks/colorbar_tick_labelling_demo.py
new file mode 100644
index 000000000000..6436748a46ec
--- /dev/null
+++ b/galleries/examples/ticks/colorbar_tick_labelling_demo.py
@@ -0,0 +1,64 @@
+"""
+=======================
+Colorbar Tick Labelling
+=======================
+
+Vertical colorbars have ticks, tick labels, and labels visible on the *y* axis,
+horizontal colorbars on the *x* axis. The ``ticks`` parameter can be used to
+set the ticks and the ``format`` parameter can be used to format the tick labels
+of the visible colorbar Axes. For further adjustments, the ``yaxis`` or
+``xaxis`` Axes of the colorbar can be retrieved using its ``ax`` property.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as mticker
+
+# Fixing random state for reproducibility
+rng = np.random.default_rng(seed=19680801)
+
+# %%
+# Make plot with vertical (default) colorbar
+
+fig, ax = plt.subplots()
+
+data = rng.standard_normal((250, 250))
+
+cax = ax.imshow(data, vmin=-1, vmax=1, cmap='coolwarm')
+ax.set_title('Gaussian noise with vertical colorbar')
+
+# Add colorbar, make sure to specify tick locations to match desired ticklabels
+cbar = fig.colorbar(cax,
+                    ticks=[-1, 0, 1],
+                    format=mticker.FixedFormatter(['< -1', '0', '> 1']),
+                    extend='both'
+                    )
+labels = cbar.ax.get_yticklabels()
+labels[0].set_verticalalignment('top')
+labels[-1].set_verticalalignment('bottom')
+
+# %%
+# Make plot with horizontal colorbar
+
+fig, ax = plt.subplots()
+
+data = np.clip(data, -1, 1)
+
+cax = ax.imshow(data, cmap='afmhot')
+ax.set_title('Gaussian noise with horizontal colorbar')
+
+# Add colorbar and adjust ticks afterwards
+cbar = fig.colorbar(cax, orientation='horizontal')
+cbar.set_ticks(ticks=[-1, 0, 1], labels=['Low', 'Medium', 'High'])
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.colorbar.Colorbar.set_ticks`
+#    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
diff --git a/galleries/examples/ticks/custom_ticker1.py b/galleries/examples/ticks/custom_ticker1.py
new file mode 100644
index 000000000000..2e6a86a8fc1c
--- /dev/null
+++ b/galleries/examples/ticks/custom_ticker1.py
@@ -0,0 +1,35 @@
+"""
+=============
+Custom Ticker
+=============
+
+The :mod:`matplotlib.ticker` module defines many preset tickers, but was
+primarily designed for extensibility, i.e., to support user customized ticking.
+
+In this example, a user defined function is used to format the ticks in
+millions of dollars on the y-axis.
+"""
+
+import matplotlib.pyplot as plt
+
+
+def millions(x, pos):
+    """The two arguments are the value and tick position."""
+    return f'${x*1e-6:1.1f}M'
+
+
+fig, ax = plt.subplots()
+# set_major_formatter internally creates a FuncFormatter from the callable.
+ax.yaxis.set_major_formatter(millions)
+money = [1.5e5, 2.5e6, 5.5e6, 2.0e7]
+ax.bar(['Bill', 'Fred', 'Mary', 'Sue'], money)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axis.Axis.set_major_formatter`
diff --git a/galleries/examples/ticks/date_concise_formatter.py b/galleries/examples/ticks/date_concise_formatter.py
new file mode 100644
index 000000000000..fcd1408ea80e
--- /dev/null
+++ b/galleries/examples/ticks/date_concise_formatter.py
@@ -0,0 +1,183 @@
+"""
+.. _date_concise_formatter:
+
+============================================
+Format date ticks using ConciseDateFormatter
+============================================
+
+Finding good tick values and formatting the ticks for an axis that
+has date data is often a challenge.  `~.dates.ConciseDateFormatter` is
+meant to improve the strings chosen for the ticklabels, and to minimize
+the strings used in those tick labels as much as possible.
+
+.. note::
+
+    This formatter is a candidate to become the default date tick formatter
+    in future versions of Matplotlib.  Please report any issues or
+    suggestions for improvement to the GitHub repository or mailing list.
+
+"""
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.dates as mdates
+
+# %%
+# First, the default formatter.
+
+base = datetime.datetime(2005, 2, 1)
+dates = [base + datetime.timedelta(hours=(2 * i)) for i in range(732)]
+N = len(dates)
+np.random.seed(19680801)
+y = np.cumsum(np.random.randn(N))
+
+fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(6, 6))
+lims = [(np.datetime64('2005-02'), np.datetime64('2005-04')),
+        (np.datetime64('2005-02-03'), np.datetime64('2005-02-15')),
+        (np.datetime64('2005-02-03 11:00'), np.datetime64('2005-02-04 13:20'))]
+for nn, ax in enumerate(axs):
+    ax.plot(dates, y)
+    ax.set_xlim(lims[nn])
+    ax.tick_params(axis='x', rotation=40, rotation_mode='xtick')
+axs[0].set_title('Default Date Formatter')
+plt.show()
+
+# %%
+# The default date formatter is quite verbose, so we have the option of
+# using `~.dates.ConciseDateFormatter`, as shown below.  Note that
+# for this example the labels do not need to be rotated as they do for the
+# default formatter because the labels are as small as possible.
+
+fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(6, 6))
+for nn, ax in enumerate(axs):
+    locator = mdates.AutoDateLocator(minticks=3, maxticks=7)
+    formatter = mdates.ConciseDateFormatter(locator)
+    ax.xaxis.set_major_locator(locator)
+    ax.xaxis.set_major_formatter(formatter)
+
+    ax.plot(dates, y)
+    ax.set_xlim(lims[nn])
+axs[0].set_title('Concise Date Formatter')
+
+plt.show()
+
+# %%
+# If all calls to axes that have dates are to be made using this converter,
+# it is probably most convenient to use the units registry where you do
+# imports:
+
+import matplotlib.units as munits
+
+converter = mdates.ConciseDateConverter()
+munits.registry[np.datetime64] = converter
+munits.registry[datetime.date] = converter
+munits.registry[datetime.datetime] = converter
+
+fig, axs = plt.subplots(3, 1, figsize=(6, 6), layout='constrained')
+for nn, ax in enumerate(axs):
+    ax.plot(dates, y)
+    ax.set_xlim(lims[nn])
+axs[0].set_title('Concise Date Formatter')
+
+plt.show()
+
+# %%
+# Localization of date formats
+# ============================
+#
+# Dates formats can be localized if the default formats are not desirable by
+# manipulating one of three lists of strings.
+#
+# The ``formatter.formats`` list of formats is for the normal tick labels,
+# There are six levels: years, months, days, hours, minutes, seconds.
+# The ``formatter.offset_formats`` is how the "offset" string on the right
+# of the axis is formatted.  This is usually much more verbose than the tick
+# labels. Finally, the ``formatter.zero_formats`` are the formats of the
+# ticks that are "zeros".  These are tick values that are either the first of
+# the year, month, or day of month, or the zeroth hour, minute, or second.
+# These are usually the same as the format of
+# the ticks a level above.  For example if the axis limits mean the ticks are
+# mostly days, then we label 1 Mar 2005 simply with a "Mar".  If the axis
+# limits are mostly hours, we label Feb 4 00:00 as simply "Feb-4".
+#
+# Note that these format lists can also be passed to `.ConciseDateFormatter`
+# as optional keyword arguments.
+#
+# Here we modify the labels to be "day month year", instead of the ISO
+# "year month day":
+
+fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(6, 6))
+
+for nn, ax in enumerate(axs):
+    locator = mdates.AutoDateLocator()
+    formatter = mdates.ConciseDateFormatter(locator)
+    formatter.formats = ['%y',  # ticks are mostly years
+                         '%b',       # ticks are mostly months
+                         '%d',       # ticks are mostly days
+                         '%H:%M',    # hrs
+                         '%H:%M',    # min
+                         '%S.%f', ]  # secs
+    # these are mostly just the level above...
+    formatter.zero_formats = [''] + formatter.formats[:-1]
+    # ...except for ticks that are mostly hours, then it is nice to have
+    # month-day:
+    formatter.zero_formats[3] = '%d-%b'
+
+    formatter.offset_formats = ['',
+                                '%Y',
+                                '%b %Y',
+                                '%d %b %Y',
+                                '%d %b %Y',
+                                '%d %b %Y %H:%M', ]
+    ax.xaxis.set_major_locator(locator)
+    ax.xaxis.set_major_formatter(formatter)
+
+    ax.plot(dates, y)
+    ax.set_xlim(lims[nn])
+axs[0].set_title('Concise Date Formatter')
+
+plt.show()
+
+# %%
+# Registering a converter with localization
+# =========================================
+#
+# `.ConciseDateFormatter` doesn't have rcParams entries, but localization can
+# be accomplished by passing keyword arguments to `.ConciseDateConverter` and
+# registering the datatypes you will use with the units registry:
+
+import datetime
+
+formats = ['%y',          # ticks are mostly years
+           '%b',     # ticks are mostly months
+           '%d',     # ticks are mostly days
+           '%H:%M',  # hrs
+           '%H:%M',  # min
+           '%S.%f', ]  # secs
+# these can be the same, except offset by one level....
+zero_formats = [''] + formats[:-1]
+# ...except for ticks that are mostly hours, then it's nice to have month-day
+zero_formats[3] = '%d-%b'
+offset_formats = ['',
+                  '%Y',
+                  '%b %Y',
+                  '%d %b %Y',
+                  '%d %b %Y',
+                  '%d %b %Y %H:%M', ]
+
+converter = mdates.ConciseDateConverter(
+    formats=formats, zero_formats=zero_formats, offset_formats=offset_formats)
+
+munits.registry[np.datetime64] = converter
+munits.registry[datetime.date] = converter
+munits.registry[datetime.datetime] = converter
+
+fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(6, 6))
+for nn, ax in enumerate(axs):
+    ax.plot(dates, y)
+    ax.set_xlim(lims[nn])
+axs[0].set_title('Concise Date Formatter registered non-default')
+
+plt.show()
diff --git a/galleries/examples/ticks/date_demo_convert.py b/galleries/examples/ticks/date_demo_convert.py
new file mode 100644
index 000000000000..c22edf54df9a
--- /dev/null
+++ b/galleries/examples/ticks/date_demo_convert.py
@@ -0,0 +1,39 @@
+"""
+=================
+Date Demo Convert
+=================
+
+"""
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.dates import DateFormatter, DayLocator, HourLocator, drange
+
+date1 = datetime.datetime(2000, 3, 2)
+date2 = datetime.datetime(2000, 3, 6)
+delta = datetime.timedelta(hours=6)
+dates = drange(date1, date2, delta)
+
+y = np.arange(len(dates))
+
+fig, ax = plt.subplots()
+ax.plot(dates, y**2, 'o')
+
+# this is superfluous, since the autoscaler should get it right, but
+# use date2num and num2date to convert between dates and floats if
+# you want; both date2num and num2date convert an instance or sequence
+ax.set_xlim(dates[0], dates[-1])
+
+# The hour locator takes the hour or sequence of hours you want to
+# tick, not the base multiple
+
+ax.xaxis.set_major_locator(DayLocator())
+ax.xaxis.set_minor_locator(HourLocator(range(0, 25, 6)))
+ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d'))
+
+ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
+fig.autofmt_xdate()
+
+plt.show()
diff --git a/galleries/examples/ticks/date_demo_rrule.py b/galleries/examples/ticks/date_demo_rrule.py
new file mode 100644
index 000000000000..eb1fb605640d
--- /dev/null
+++ b/galleries/examples/ticks/date_demo_rrule.py
@@ -0,0 +1,45 @@
+"""
+=========================================
+Placing date ticks using recurrence rules
+=========================================
+
+The `iCalender RFC`_ specifies *recurrence rules* (rrules), that define
+date sequences. You can use rrules in Matplotlib to place date ticks.
+
+This example sets custom date ticks on every 5th easter.
+
+See https://dateutil.readthedocs.io/en/stable/rrule.html for help with rrules.
+
+.. _iCalender RFC: https://tools.ietf.org/html/rfc5545
+"""
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.dates import (YEARLY, DateFormatter, RRuleLocator, drange,
+                              rrulewrapper)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+# tick every 5th easter
+rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
+loc = RRuleLocator(rule)
+formatter = DateFormatter('%m/%d/%y')
+date1 = datetime.date(1952, 1, 1)
+date2 = datetime.date(2004, 4, 12)
+delta = datetime.timedelta(days=100)
+
+dates = drange(date1, date2, delta)
+s = np.random.rand(len(dates))  # make up some random y values
+
+
+fig, ax = plt.subplots()
+plt.plot(dates, s, 'o')
+ax.xaxis.set_major_locator(loc)
+ax.xaxis.set_major_formatter(formatter)
+ax.xaxis.set_tick_params(rotation=30, labelsize=10)
+
+plt.show()
diff --git a/galleries/examples/ticks/date_formatters_locators.py b/galleries/examples/ticks/date_formatters_locators.py
new file mode 100644
index 000000000000..39492168242f
--- /dev/null
+++ b/galleries/examples/ticks/date_formatters_locators.py
@@ -0,0 +1,102 @@
+"""
+.. _date_formatters_locators:
+
+=================================
+Date tick locators and formatters
+=================================
+
+This example illustrates the usage and effect of the various date locators and
+formatters.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.dates import (FR, MO, MONTHLY, SA, SU, TH, TU, WE,
+                              AutoDateFormatter, AutoDateLocator,
+                              ConciseDateFormatter, DateFormatter, DayLocator,
+                              HourLocator, MicrosecondLocator, MinuteLocator,
+                              MonthLocator, RRuleLocator, SecondLocator,
+                              WeekdayLocator, YearLocator, rrulewrapper)
+import matplotlib.ticker as ticker
+
+
+def plot_axis(ax, locator=None, xmax='2002-02-01', fmt=None, formatter=None):
+    """Set up common parameters for the Axes in the example."""
+    ax.spines[['left', 'right', 'top']].set_visible(False)
+    ax.yaxis.set_major_locator(ticker.NullLocator())
+    ax.tick_params(which='major', width=1.00, length=5)
+    ax.tick_params(which='minor', width=0.75, length=2.5)
+    ax.set_xlim(np.datetime64('2000-02-01'), np.datetime64(xmax))
+    if locator:
+        ax.xaxis.set_major_locator(eval(locator))
+        ax.xaxis.set_major_formatter(DateFormatter(fmt))
+    else:
+        ax.xaxis.set_major_formatter(eval(formatter))
+    ax.text(0.0, 0.2, locator or formatter, transform=ax.transAxes,
+            fontsize=14, fontname='Monospace', color='tab:blue')
+
+# %%
+# :ref:`date-locators`
+# --------------------
+
+
+locators = [
+    # locator as str, xmax, fmt
+    ('AutoDateLocator(maxticks=8)', '2003-02-01', '%Y-%m'),
+    ('YearLocator(month=4)', '2003-02-01', '%Y-%m'),
+    ('MonthLocator(bymonth=[4, 8, 12])', '2003-02-01', '%Y-%m'),
+    ('DayLocator(interval=180)', '2003-02-01', '%Y-%m-%d'),
+    ('WeekdayLocator(byweekday=SU, interval=4)', '2000-07-01', '%a %Y-%m-%d'),
+    ('HourLocator(byhour=range(0, 24, 6))', '2000-02-04', '%H h'),
+    ('MinuteLocator(interval=15)', '2000-02-01 02:00', '%H:%M'),
+    ('SecondLocator(bysecond=(0, 30))', '2000-02-01 00:02', '%H:%M:%S'),
+    ('MicrosecondLocator(interval=1000)', '2000-02-01 00:00:00.005', '%S.%f'),
+    ('RRuleLocator(rrulewrapper(freq=MONTHLY, \nbyweekday=(MO, TU, WE, TH, FR), '
+     'bysetpos=-1))', '2000-07-01', '%Y-%m-%d'),
+]
+
+fig, axs = plt.subplots(len(locators), 1, figsize=(8, len(locators) * .8),
+                        layout='constrained')
+fig.suptitle('Date Locators')
+for ax, (locator, xmax, fmt) in zip(axs, locators):
+    plot_axis(ax, locator, xmax, fmt)
+
+# %%
+# :ref:`date-formatters`
+# ----------------------
+
+formatters = [
+    'AutoDateFormatter(ax.xaxis.get_major_locator())',
+    'ConciseDateFormatter(ax.xaxis.get_major_locator())',
+    'DateFormatter("%b %Y")',
+]
+
+fig, axs = plt.subplots(len(formatters), 1, figsize=(8, len(formatters) * .8),
+                        layout='constrained')
+fig.suptitle('Date Formatters')
+for ax, fmt in zip(axs, formatters):
+    plot_axis(ax, formatter=fmt)
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.dates.AutoDateLocator`
+#    - `matplotlib.dates.YearLocator`
+#    - `matplotlib.dates.MonthLocator`
+#    - `matplotlib.dates.DayLocator`
+#    - `matplotlib.dates.WeekdayLocator`
+#    - `matplotlib.dates.HourLocator`
+#    - `matplotlib.dates.MinuteLocator`
+#    - `matplotlib.dates.SecondLocator`
+#    - `matplotlib.dates.MicrosecondLocator`
+#    - `matplotlib.dates.RRuleLocator`
+#    - `matplotlib.dates.rrulewrapper`
+#    - `matplotlib.dates.DateFormatter`
+#    - `matplotlib.dates.AutoDateFormatter`
+#    - `matplotlib.dates.ConciseDateFormatter`
diff --git a/galleries/examples/ticks/date_index_formatter.py b/galleries/examples/ticks/date_index_formatter.py
new file mode 100644
index 000000000000..c5bc6abaf17f
--- /dev/null
+++ b/galleries/examples/ticks/date_index_formatter.py
@@ -0,0 +1,84 @@
+"""
+=====================================
+Custom tick formatter for time series
+=====================================
+
+.. redirect-from:: /gallery/text_labels_and_annotations/date_index_formatter
+.. redirect-from:: /gallery/ticks/date_index_formatter2
+
+When plotting daily data, e.g., financial time series, one often wants
+to leave out days on which there is no data, for instance weekends, so that
+the data are plotted at regular intervals without extra spaces for the days
+with no data.
+The example shows how to use an 'index formatter' to achieve the desired plot.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+from matplotlib.dates import DateFormatter, DayLocator
+import matplotlib.lines as ml
+from matplotlib.ticker import Formatter
+
+# Load a structured numpy array from yahoo csv data with fields date, open, high,
+# low, close, volume, adj_close from the mpl-data/sample_data directory. The
+# record array stores the date as an np.datetime64 with a day unit ('D') in
+# the date column (``r['date']``).
+r = cbook.get_sample_data('goog.npz')['price_data']
+r = r[:9]  # get the first 9 days
+
+fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(6, 6), layout='constrained')
+fig.get_layout_engine().set(hspace=0.15)
+
+# First we'll do it the default way, with gaps on weekends
+ax1.plot(r["date"], r["adj_close"], 'o-')
+
+# Highlight gaps in daily data
+gaps = np.flatnonzero(np.diff(r["date"]) > np.timedelta64(1, 'D'))
+for gap in r[['date', 'adj_close']][np.stack((gaps, gaps + 1)).T]:
+    ax1.plot(gap['date'], gap['adj_close'], 'w--', lw=2)
+ax1.legend(handles=[ml.Line2D([], [], ls='--', label='Gaps in daily data')])
+
+ax1.set_title("Plot y at x Coordinates")
+ax1.xaxis.set_major_locator(DayLocator())
+ax1.xaxis.set_major_formatter(DateFormatter('%a'))
+
+
+# Next we'll write a custom index formatter. Below we will plot
+# the data against an index that goes from 0, 1,  ... len(data).  Instead of
+# formatting the tick marks as integers, we format as times.
+def format_date(x, _):
+    try:
+        # convert datetime64 to datetime, and use datetime's strftime:
+        return r["date"][round(x)].item().strftime('%a')
+    except IndexError:
+        pass
+
+# Create an index plot (x defaults to range(len(y)) if omitted)
+ax2.plot(r["adj_close"], 'o-')
+
+ax2.set_title("Plot y at Index Coordinates Using Custom Formatter")
+ax2.xaxis.set_major_formatter(format_date)  # internally creates FuncFormatter
+
+# %%
+# Instead of passing a function into `.Axis.set_major_formatter` you can use
+# any other callable, e.g. an instance of a class that implements __call__:
+
+
+class MyFormatter(Formatter):
+    def __init__(self, dates, fmt='%a'):
+        self.dates = dates
+        self.fmt = fmt
+
+    def __call__(self, x, pos=0):
+        """Return the label for time x at position pos."""
+        try:
+            return self.dates[round(x)].item().strftime(self.fmt)
+        except IndexError:
+            pass
+
+
+ax2.xaxis.set_major_formatter(MyFormatter(r["date"], '%a'))
+
+plt.show()
diff --git a/galleries/examples/ticks/date_precision_and_epochs.py b/galleries/examples/ticks/date_precision_and_epochs.py
new file mode 100644
index 000000000000..eb4926cab68d
--- /dev/null
+++ b/galleries/examples/ticks/date_precision_and_epochs.py
@@ -0,0 +1,158 @@
+"""
+=========================
+Date precision and epochs
+=========================
+
+Matplotlib can handle `.datetime` objects and `numpy.datetime64` objects using
+a unit converter that recognizes these dates and converts them to floating
+point numbers.
+
+Before Matplotlib 3.3, the default for this conversion returns a float that was
+days since "0000-12-31T00:00:00".  As of Matplotlib 3.3, the default is
+days from "1970-01-01T00:00:00".  This allows more resolution for modern
+dates.  "2020-01-01" with the old epoch converted to 730120, and a 64-bit
+floating point number has a resolution of 2^{-52}, or approximately
+14 microseconds, so microsecond precision was lost.  With the new default
+epoch "2020-01-01" is 10957.0, so the achievable resolution is 0.21
+microseconds.
+
+"""
+import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.dates as mdates
+
+
+def _reset_epoch_for_tutorial():
+    """
+    Users (and downstream libraries) should not use the private method of
+    resetting the epoch.
+    """
+    mdates._reset_epoch_test_example()
+
+
+# %%
+# Datetime
+# --------
+#
+# Python `.datetime` objects have microsecond resolution, so with the
+# old default matplotlib dates could not round-trip full-resolution datetime
+# objects.
+
+old_epoch = '0000-12-31T00:00:00'
+new_epoch = '1970-01-01T00:00:00'
+
+_reset_epoch_for_tutorial()  # Don't do this.  Just for this tutorial.
+mdates.set_epoch(old_epoch)  # old epoch (pre MPL 3.3)
+
+date1 = datetime.datetime(2000, 1, 1, 0, 10, 0, 12,
+                          tzinfo=datetime.timezone.utc)
+mdate1 = mdates.date2num(date1)
+print('Before Roundtrip: ', date1, 'Matplotlib date:', mdate1)
+date2 = mdates.num2date(mdate1)
+print('After Roundtrip:  ', date2)
+
+# %%
+# Note this is only a round-off error, and there is no problem for
+# dates closer to the old epoch:
+
+date1 = datetime.datetime(10, 1, 1, 0, 10, 0, 12,
+                          tzinfo=datetime.timezone.utc)
+mdate1 = mdates.date2num(date1)
+print('Before Roundtrip: ', date1, 'Matplotlib date:', mdate1)
+date2 = mdates.num2date(mdate1)
+print('After Roundtrip:  ', date2)
+
+# %%
+# If a user wants to use modern dates at microsecond precision, they
+# can change the epoch using `.set_epoch`.  However, the epoch has to be
+# set before any date operations to prevent confusion between different
+# epochs. Trying to change the epoch later will raise a `RuntimeError`.
+
+try:
+    mdates.set_epoch(new_epoch)  # this is the new MPL 3.3 default.
+except RuntimeError as e:
+    print('RuntimeError:', str(e))
+
+# %%
+# For this tutorial, we reset the sentinel using a private method, but users
+# should just set the epoch once, if at all.
+
+_reset_epoch_for_tutorial()  # Just being done for this tutorial.
+mdates.set_epoch(new_epoch)
+
+date1 = datetime.datetime(2020, 1, 1, 0, 10, 0, 12,
+                          tzinfo=datetime.timezone.utc)
+mdate1 = mdates.date2num(date1)
+print('Before Roundtrip: ', date1, 'Matplotlib date:', mdate1)
+date2 = mdates.num2date(mdate1)
+print('After Roundtrip:  ', date2)
+
+# %%
+# datetime64
+# ----------
+#
+# `numpy.datetime64` objects have microsecond precision for a much larger
+# timespace than `.datetime` objects.  However, currently Matplotlib time is
+# only converted back to datetime objects, which have microsecond resolution,
+# and years that only span 0000 to 9999.
+
+_reset_epoch_for_tutorial()  # Don't do this.  Just for this tutorial.
+mdates.set_epoch(new_epoch)
+
+date1 = np.datetime64('2000-01-01T00:10:00.000012')
+mdate1 = mdates.date2num(date1)
+print('Before Roundtrip: ', date1, 'Matplotlib date:', mdate1)
+date2 = mdates.num2date(mdate1)
+print('After Roundtrip:  ', date2)
+
+# %%
+# Plotting
+# --------
+#
+# This all of course has an effect on plotting.  With the old default epoch
+# the times were rounded during the internal ``date2num`` conversion, leading
+# to jumps in the data:
+
+_reset_epoch_for_tutorial()  # Don't do this.  Just for this tutorial.
+mdates.set_epoch(old_epoch)
+
+x = np.arange('2000-01-01T00:00:00.0', '2000-01-01T00:00:00.000100',
+              dtype='datetime64[us]')
+# simulate the plot being made using the old epoch
+xold = np.array([mdates.num2date(mdates.date2num(d)) for d in x])
+y = np.arange(0, len(x))
+
+# resetting the Epoch so plots are comparable
+_reset_epoch_for_tutorial()  # Don't do this.  Just for this tutorial.
+mdates.set_epoch(new_epoch)
+
+fig, ax = plt.subplots(layout='constrained')
+ax.plot(xold, y)
+ax.set_title('Epoch: ' + mdates.get_epoch())
+ax.xaxis.set_tick_params(rotation=40)
+plt.show()
+
+# %%
+# For dates plotted using the more recent epoch, the plot is smooth:
+
+fig, ax = plt.subplots(layout='constrained')
+ax.plot(x, y)
+ax.set_title('Epoch: ' + mdates.get_epoch())
+ax.xaxis.set_tick_params(rotation=40)
+plt.show()
+
+_reset_epoch_for_tutorial()  # Don't do this.  Just for this tutorial.
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.dates.num2date`
+#    - `matplotlib.dates.date2num`
+#    - `matplotlib.dates.set_epoch`
diff --git a/galleries/examples/ticks/dollar_ticks.py b/galleries/examples/ticks/dollar_ticks.py
new file mode 100644
index 000000000000..7abf967c053b
--- /dev/null
+++ b/galleries/examples/ticks/dollar_ticks.py
@@ -0,0 +1,40 @@
+"""
+============
+Dollar ticks
+============
+
+Use a format string to prepend dollar signs on y-axis labels.
+
+.. redirect-from:: /gallery/pyplots/dollar_ticks
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+ax.plot(100*np.random.rand(20))
+
+# Use automatic StrMethodFormatter
+ax.yaxis.set_major_formatter('${x:1.2f}')
+
+ax.yaxis.set_tick_params(which='major', labelcolor='green',
+                         labelleft=False, labelright=True)
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.axis.Axis.set_major_formatter`
+#    - `matplotlib.axis.Axis.set_tick_params`
+#    - `matplotlib.axis.Tick`
+#    - `matplotlib.ticker.StrMethodFormatter`
diff --git a/galleries/examples/ticks/engformatter_offset.py b/galleries/examples/ticks/engformatter_offset.py
new file mode 100644
index 000000000000..7da2d45a7942
--- /dev/null
+++ b/galleries/examples/ticks/engformatter_offset.py
@@ -0,0 +1,33 @@
+"""
+===================================================
+SI prefixed offsets and natural order of magnitudes
+===================================================
+
+`matplotlib.ticker.EngFormatter` is capable of computing a natural
+offset for your axis data, and presenting it with a standard SI prefix
+automatically calculated.
+
+Below is an examples of such a plot:
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as mticker
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+UNIT = "Hz"
+
+fig, ax = plt.subplots()
+ax.yaxis.set_major_formatter(mticker.EngFormatter(
+    useOffset=True,
+    unit=UNIT
+))
+size = 100
+measurement = np.full(size, 1e9)
+noise = np.random.uniform(low=-2e3, high=2e3, size=size)
+ax.plot(measurement + noise)
+plt.show()
diff --git a/galleries/examples/ticks/fig_axes_customize_simple.py b/galleries/examples/ticks/fig_axes_customize_simple.py
new file mode 100644
index 000000000000..0dd85ec4bd93
--- /dev/null
+++ b/galleries/examples/ticks/fig_axes_customize_simple.py
@@ -0,0 +1,32 @@
+"""
+=========================
+Fig Axes Customize Simple
+=========================
+
+Customize the background, labels and ticks of a simple plot.
+
+.. redirect-from:: /gallery/pyplots/fig_axes_customize_simple
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+fig.patch.set_facecolor('lightgoldenrodyellow')
+
+ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
+ax1.patch.set_facecolor('lightslategray')
+
+ax1.tick_params(axis='x', labelcolor='tab:red', labelrotation=45, labelsize=16)
+ax1.tick_params(axis='y', color='tab:green', size=25, width=3)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tick_params`
+#    - `matplotlib.patches.Patch.set_facecolor`
diff --git a/galleries/examples/ticks/major_minor_demo.py b/galleries/examples/ticks/major_minor_demo.py
new file mode 100644
index 000000000000..9fd93118a9ac
--- /dev/null
+++ b/galleries/examples/ticks/major_minor_demo.py
@@ -0,0 +1,96 @@
+r"""
+=====================
+Major and minor ticks
+=====================
+
+Demonstrate how to use major and minor tickers.
+
+The two relevant classes are `.Locator`\s and `.Formatter`\s.  Locators
+determine where the ticks are, and formatters control the formatting of tick
+labels.
+
+Minor ticks are off by default (using `.NullLocator` and `.NullFormatter`).
+Minor ticks can be turned on without labels by setting the minor locator.
+Minor tick labels can be turned on by setting the minor formatter.
+
+`.MultipleLocator` places ticks on multiples of some base.
+`.StrMethodFormatter` uses a format string (e.g., ``'{x:d}'`` or ``'{x:1.2f}'``
+or ``'{x:1.1f} cm'``) to format the tick labels (the variable in the format
+string must be ``'x'``).  For a `.StrMethodFormatter`, the string can be passed
+directly to `.Axis.set_major_formatter` or
+`.Axis.set_minor_formatter`.  An appropriate `.StrMethodFormatter` will
+be created and used automatically.
+
+`.pyplot.grid` changes the grid settings of the major ticks of the x- and
+y-axis together.  If you want to control the grid of the minor ticks for a
+given axis, use for example ::
+
+  ax.xaxis.grid(True, which='minor')
+
+Note that a given locator or formatter instance can only be used on a single
+axis (because the locator stores references to the axis data and view limits).
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.ticker import AutoMinorLocator, MultipleLocator
+
+t = np.arange(0.0, 100.0, 0.1)
+s = np.sin(0.1 * np.pi * t) * np.exp(-t * 0.01)
+
+fig, ax = plt.subplots()
+ax.plot(t, s)
+
+# Make a plot with major ticks that are multiples of 20 and minor ticks that
+# are multiples of 5.  Label major ticks with '.0f' formatting but don't label
+# minor ticks.  The string is used directly, the `StrMethodFormatter` is
+# created automatically.
+ax.xaxis.set_major_locator(MultipleLocator(20))
+ax.xaxis.set_major_formatter('{x:.0f}')
+
+# For the minor ticks, use no labels; default NullFormatter.
+ax.xaxis.set_minor_locator(MultipleLocator(5))
+
+plt.show()
+
+# %%
+# Automatic tick selection for major and minor ticks.
+#
+# Use interactive pan and zoom to see how the tick intervals change. There will
+# be either 4 or 5 minor tick intervals per major interval, depending on the
+# major interval.
+#
+# One can supply an argument to `.AutoMinorLocator` to specify a fixed number
+# of minor intervals per major interval, e.g. ``AutoMinorLocator(2)`` would
+# lead to a single minor tick between major ticks.
+
+t = np.arange(0.0, 100.0, 0.01)
+s = np.sin(2 * np.pi * t) * np.exp(-t * 0.01)
+
+fig, ax = plt.subplots()
+ax.plot(t, s)
+
+ax.xaxis.set_minor_locator(AutoMinorLocator())
+
+ax.tick_params(which='both', width=2)
+ax.tick_params(which='major', length=7)
+ax.tick_params(which='minor', length=4, color='r')
+
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.axis.Axis.set_major_formatter`
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.axis.Axis.set_minor_locator`
+#    - `matplotlib.ticker.AutoMinorLocator`
+#    - `matplotlib.ticker.MultipleLocator`
+#    - `matplotlib.ticker.StrMethodFormatter`
diff --git a/galleries/examples/ticks/multilevel_ticks.py b/galleries/examples/ticks/multilevel_ticks.py
new file mode 100644
index 000000000000..5b8d0ada5ae2
--- /dev/null
+++ b/galleries/examples/ticks/multilevel_ticks.py
@@ -0,0 +1,99 @@
+"""
+=========================
+Multilevel (nested) ticks
+=========================
+
+Sometimes we want another level of tick labels on an axis, perhaps to indicate
+a grouping of the ticks.
+
+Matplotlib does not provide an automated way to do this, but it is relatively
+straightforward to annotate below the main axis.
+
+These examples use `.Axes.secondary_xaxis`, which is one approach. It has the
+advantage that we can use Matplotlib Locators and Formatters on the axis that
+does the grouping if we want.
+
+This first example creates a secondary xaxis and manually adds the ticks and
+labels using `.Axes.set_xticks`.  Note that the tick labels have a newline
+(e.g. ``"\nOughts"``) at the beginning of them to put the second-level tick
+labels below the main tick labels.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.dates as mdates
+
+rng = np.random.default_rng(19680801)
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+
+ax.plot(np.arange(30))
+
+sec = ax.secondary_xaxis(location=0)
+sec.set_xticks([5, 15, 25], labels=['\nOughts', '\nTeens', '\nTwenties'])
+
+# %%
+# This second example adds a second level of annotation to a categorical axis.
+# Here we need to note that each animal (category) is assigned an integer, so
+# ``cats`` is at x=0, ``dogs`` at x=1 etc.  Then we place the ticks on the
+# second level on an x that is at the middle of the animal class we are trying
+# to delineate.
+#
+# This example also adds tick marks between the classes by adding a second
+# secondary xaxis, and placing long, wide ticks at the boundaries between the
+# animal classes.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(7, 4))
+
+ax.plot(['cats', 'dogs', 'pigs', 'snakes', 'lizards', 'chickens',
+         'eagles', 'herons', 'buzzards'],
+        rng.normal(size=9), 'o')
+
+# label the classes:
+sec = ax.secondary_xaxis(location=0)
+sec.set_xticks([1, 3.5, 6.5], labels=['\n\nMammals', '\n\nReptiles', '\n\nBirds'])
+sec.tick_params('x', length=0)
+
+# lines between the classes:
+sec2 = ax.secondary_xaxis(location=0)
+sec2.set_xticks([-0.5, 2.5, 4.5, 8.5], labels=[])
+sec2.tick_params('x', length=40, width=1.5)
+ax.set_xlim(-0.6, 8.6)
+
+# %%
+# Dates are another common place where we may want to have a second level of
+# tick labels.  In this last example, we take advantage of the ability to add
+# an automatic locator and formatter to the secondary xaxis, which means we do
+# not need to set the ticks manually.
+#
+# This example also differs from the above, in that we placed it at a location
+# below the main axes ``location=-0.075`` and then we hide the spine by setting
+# the line width to zero.  That means that our formatter no longer needs the
+# carriage returns of the previous two examples.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(7, 4))
+
+time = np.arange(np.datetime64('2020-01-01'), np.datetime64('2020-03-31'),
+                 np.timedelta64(1, 'D'))
+
+ax.plot(time, rng.random(size=len(time)))
+
+# just format the days:
+ax.xaxis.set_major_formatter(mdates.DateFormatter('%d'))
+
+# label the months:
+sec = ax.secondary_xaxis(location=-0.075)
+sec.xaxis.set_major_locator(mdates.MonthLocator(bymonthday=1))
+
+# note the extra spaces in the label to align the month label inside the month.
+# Note that this could have been done by changing ``bymonthday`` above as well:
+sec.xaxis.set_major_formatter(mdates.DateFormatter('  %b'))
+sec.tick_params('x', length=0)
+sec.spines['bottom'].set_linewidth(0)
+
+# label the xaxis, but note for this to look good, it needs to be on the
+# secondary xaxis.
+sec.set_xlabel('Dates (2020)')
+
+plt.show()
diff --git a/galleries/examples/ticks/scalarformatter.py b/galleries/examples/ticks/scalarformatter.py
new file mode 100644
index 000000000000..eaab5e9a86f2
--- /dev/null
+++ b/galleries/examples/ticks/scalarformatter.py
@@ -0,0 +1,38 @@
+"""
+==========================
+The default tick formatter
+==========================
+
+By default, tick labels are formatted using a `.ScalarFormatter`, which can be
+configured via `~.axes.Axes.ticklabel_format`.  This example illustrates some
+possible configurations:
+
+- Default.
+- ``useMathText=True``: Fancy formatting of mathematical expressions.
+- ``useOffset=False``: Do not use offset notation; see
+  `.ScalarFormatter.set_useOffset`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(0, 1, .01)
+fig, axs = plt.subplots(
+    3, 3, figsize=(9, 9), layout="constrained", gridspec_kw={"hspace": 0.1})
+
+for col in axs.T:
+    col[0].plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
+    col[1].plot(x * 1e5, x * 1e-4)
+    col[2].plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
+
+for ax in axs[:, 1]:
+    ax.ticklabel_format(useMathText=True)
+for ax in axs[:, 2]:
+    ax.ticklabel_format(useOffset=False)
+
+plt.rcParams.update({"axes.titleweight": "bold", "axes.titley": 1.1})
+axs[0, 0].set_title("default settings")
+axs[0, 1].set_title("useMathText=True")
+axs[0, 2].set_title("useOffset=False")
+
+plt.show()
diff --git a/galleries/examples/ticks/tick-formatters.py b/galleries/examples/ticks/tick-formatters.py
new file mode 100644
index 000000000000..543aec57e4d2
--- /dev/null
+++ b/galleries/examples/ticks/tick-formatters.py
@@ -0,0 +1,105 @@
+"""
+===============
+Tick formatters
+===============
+
+Tick formatters define how the numeric value associated with a tick on an axis
+is formatted as a string.
+
+This example illustrates the usage and effect of the most common formatters.
+
+The tick format is configured via the function `~.Axis.set_major_formatter`
+or `~.Axis.set_minor_formatter`. It accepts:
+
+- a format string, which implicitly creates a `.StrMethodFormatter`.
+- a function,  implicitly creates a `.FuncFormatter`.
+- an instance of a `.Formatter` subclass. The most common are
+
+  - `.NullFormatter`: No labels on the ticks.
+  - `.StrMethodFormatter`: Use string `str.format` method.
+  - `.FormatStrFormatter`: Use %-style formatting.
+  - `.FuncFormatter`: Define labels through a function.
+  - `.FixedFormatter`: Set the label strings explicitly.
+  - `.ScalarFormatter`: Default formatter for scalars: auto-pick the format string.
+  - `.PercentFormatter`: Format labels as a percentage.
+
+  See :ref:`formatters` for a complete list.
+
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib import ticker
+
+
+def setup(ax, title):
+    """Set up common parameters for the Axes in the example."""
+    # only show the bottom spine
+    ax.yaxis.set_major_locator(ticker.NullLocator())
+    ax.spines[['left', 'right', 'top']].set_visible(False)
+
+    # define tick positions
+    ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
+    ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
+
+    ax.xaxis.set_ticks_position('bottom')
+    ax.tick_params(which='major', width=1.00, length=5)
+    ax.tick_params(which='minor', width=0.75, length=2.5, labelsize=10)
+    ax.set_xlim(0, 5)
+    ax.set_ylim(0, 1)
+    ax.text(0.0, 0.2, title, transform=ax.transAxes,
+            fontsize=14, fontname='Monospace', color='tab:blue')
+
+
+fig = plt.figure(figsize=(8, 8), layout='constrained')
+fig0, fig1, fig2 = fig.subfigures(3, height_ratios=[1.5, 1.5, 7.5])
+
+fig0.suptitle('String Formatting', fontsize=16, x=0, ha='left')
+ax0 = fig0.subplots()
+
+setup(ax0, title="'{x} km'")
+ax0.xaxis.set_major_formatter('{x} km')
+
+
+fig1.suptitle('Function Formatting', fontsize=16, x=0, ha='left')
+ax1 = fig1.subplots()
+
+setup(ax1, title="def(x, pos): return str(x-5)")
+ax1.xaxis.set_major_formatter(lambda x, pos: str(x-5))
+
+
+fig2.suptitle('Formatter Object Formatting', fontsize=16, x=0, ha='left')
+axs2 = fig2.subplots(7, 1)
+
+setup(axs2[0], title="NullFormatter()")
+axs2[0].xaxis.set_major_formatter(ticker.NullFormatter())
+
+setup(axs2[1], title="StrMethodFormatter('{x:.3f}')")
+axs2[1].xaxis.set_major_formatter(ticker.StrMethodFormatter("{x:.3f}"))
+
+setup(axs2[2], title="FormatStrFormatter('#%d')")
+axs2[2].xaxis.set_major_formatter(ticker.FormatStrFormatter("#%d"))
+
+
+def fmt_two_digits(x, pos):
+    return f'[{x:.2f}]'
+
+
+setup(axs2[3], title='FuncFormatter("[{:.2f}]".format)')
+axs2[3].xaxis.set_major_formatter(ticker.FuncFormatter(fmt_two_digits))
+
+setup(axs2[4], title="FixedFormatter(['A', 'B', 'C', 'D', 'E', 'F'])")
+# FixedFormatter should only be used together with FixedLocator.
+# Otherwise, one cannot be sure where the labels will end up.
+positions = [0, 1, 2, 3, 4, 5]
+labels = ['A', 'B', 'C', 'D', 'E', 'F']
+axs2[4].xaxis.set_major_locator(ticker.FixedLocator(positions))
+axs2[4].xaxis.set_major_formatter(ticker.FixedFormatter(labels))
+
+setup(axs2[5], title="ScalarFormatter()")
+axs2[5].xaxis.set_major_formatter(ticker.ScalarFormatter(useMathText=True))
+
+setup(axs2[6], title="PercentFormatter(xmax=5)")
+axs2[6].xaxis.set_major_formatter(ticker.PercentFormatter(xmax=5))
+
+plt.show()
diff --git a/galleries/examples/ticks/tick-locators.py b/galleries/examples/ticks/tick-locators.py
new file mode 100644
index 000000000000..6cf4afaf22d7
--- /dev/null
+++ b/galleries/examples/ticks/tick-locators.py
@@ -0,0 +1,93 @@
+"""
+=============
+Tick locators
+=============
+
+Tick locators define the position of the ticks.
+
+This example illustrates the usage and effect of the most common locators.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as ticker
+
+
+def setup(ax, title):
+    """Set up common parameters for the Axes in the example."""
+    # only show the bottom spine
+    ax.yaxis.set_major_locator(ticker.NullLocator())
+    ax.spines[['left', 'right', 'top']].set_visible(False)
+
+    ax.xaxis.set_ticks_position('bottom')
+    ax.tick_params(which='major', width=1.00, length=5)
+    ax.tick_params(which='minor', width=0.75, length=2.5)
+    ax.set_xlim(0, 5)
+    ax.set_ylim(0, 1)
+    ax.text(0.0, 0.2, title, transform=ax.transAxes,
+            fontsize=14, fontname='Monospace', color='tab:blue')
+
+
+fig, axs = plt.subplots(8, 1, figsize=(8, 6))
+
+# Null Locator
+setup(axs[0], title="NullLocator()")
+axs[0].xaxis.set_major_locator(ticker.NullLocator())
+axs[0].xaxis.set_minor_locator(ticker.NullLocator())
+
+# Multiple Locator
+setup(axs[1], title="MultipleLocator(0.5, offset=0.2)")
+axs[1].xaxis.set_major_locator(ticker.MultipleLocator(0.5, offset=0.2))
+axs[1].xaxis.set_minor_locator(ticker.MultipleLocator(0.1))
+
+# Fixed Locator
+setup(axs[2], title="FixedLocator([0, 1, 5])")
+axs[2].xaxis.set_major_locator(ticker.FixedLocator([0, 1, 5]))
+axs[2].xaxis.set_minor_locator(ticker.FixedLocator(np.linspace(0.2, 0.8, 4)))
+
+# Linear Locator
+setup(axs[3], title="LinearLocator(numticks=3)")
+axs[3].xaxis.set_major_locator(ticker.LinearLocator(3))
+axs[3].xaxis.set_minor_locator(ticker.LinearLocator(31))
+
+# Index Locator
+setup(axs[4], title="IndexLocator(base=0.5, offset=0.25)")
+axs[4].plot([0]*5, color='white')
+axs[4].xaxis.set_major_locator(ticker.IndexLocator(base=0.5, offset=0.25))
+
+# Auto Locator
+setup(axs[5], title="AutoLocator()")
+axs[5].xaxis.set_major_locator(ticker.AutoLocator())
+axs[5].xaxis.set_minor_locator(ticker.AutoMinorLocator())
+
+# MaxN Locator
+setup(axs[6], title="MaxNLocator(n=4)")
+axs[6].xaxis.set_major_locator(ticker.MaxNLocator(4))
+axs[6].xaxis.set_minor_locator(ticker.MaxNLocator(40))
+
+# Log Locator
+setup(axs[7], title="LogLocator(base=10, numticks=15)")
+axs[7].set_xlim(10**3, 10**10)
+axs[7].set_xscale('log')
+axs[7].xaxis.set_major_locator(ticker.LogLocator(base=10, numticks=15))
+
+plt.tight_layout()
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The following functions, methods, classes and modules are used in this example:
+#
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.axis.Axis.set_minor_locator`
+#    - `matplotlib.ticker.NullLocator`
+#    - `matplotlib.ticker.MultipleLocator`
+#    - `matplotlib.ticker.FixedLocator`
+#    - `matplotlib.ticker.LinearLocator`
+#    - `matplotlib.ticker.IndexLocator`
+#    - `matplotlib.ticker.AutoLocator`
+#    - `matplotlib.ticker.MaxNLocator`
+#    - `matplotlib.ticker.LogLocator`
diff --git a/galleries/examples/ticks/tick_label_right.py b/galleries/examples/ticks/tick_label_right.py
new file mode 100644
index 000000000000..79eccd8777e7
--- /dev/null
+++ b/galleries/examples/ticks/tick_label_right.py
@@ -0,0 +1,27 @@
+"""
+============================================
+Set default y-axis tick labels on the right
+============================================
+
+We can use :rc:`ytick.labelright`, :rc:`ytick.right`, :rc:`ytick.labelleft`,
+and :rc:`ytick.left` to control where on the axes ticks and their labels
+appear. These properties can also be set in ``.matplotlib/matplotlibrc``.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.rcParams['ytick.right'] = plt.rcParams['ytick.labelright'] = True
+plt.rcParams['ytick.left'] = plt.rcParams['ytick.labelleft'] = False
+
+x = np.arange(10)
+
+fig, (ax0, ax1) = plt.subplots(2, 1, sharex=True, figsize=(6, 6))
+
+ax0.plot(x)
+ax0.yaxis.tick_left()
+
+# use default parameter in rcParams, not calling tick_right()
+ax1.plot(x)
+
+plt.show()
diff --git a/galleries/examples/ticks/tick_labels_from_values.py b/galleries/examples/ticks/tick_labels_from_values.py
new file mode 100644
index 000000000000..0d40597e6261
--- /dev/null
+++ b/galleries/examples/ticks/tick_labels_from_values.py
@@ -0,0 +1,53 @@
+"""
+=========================================
+Setting tick labels from a list of values
+=========================================
+
+Using `.Axes.set_xticks` causes the tick labels to be set on the currently
+chosen ticks. However, you may want to allow matplotlib to dynamically
+choose the number of ticks and their spacing.
+
+In this case it may be better to determine the tick label from the
+value at the tick. The following example shows how to do this.
+
+NB: The `.ticker.MaxNLocator` is used here to ensure that the tick values
+take integer values.
+
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.ticker import MaxNLocator
+
+fig, ax = plt.subplots()
+xs = range(26)
+ys = range(26)
+labels = list('abcdefghijklmnopqrstuvwxyz')
+
+
+def format_fn(tick_val, tick_pos):
+    if int(tick_val) in xs:
+        return labels[int(tick_val)]
+    else:
+        return ''
+
+
+# A FuncFormatter is created automatically.
+ax.xaxis.set_major_formatter(format_fn)
+ax.xaxis.set_major_locator(MaxNLocator(integer=True))
+ax.plot(xs, ys)
+plt.show()
+
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.axis.Axis.set_major_formatter`
+#    - `matplotlib.axis.Axis.set_major_locator`
+#    - `matplotlib.ticker.FuncFormatter`
+#    - `matplotlib.ticker.MaxNLocator`
diff --git a/galleries/examples/ticks/tick_xlabel_top.py b/galleries/examples/ticks/tick_xlabel_top.py
new file mode 100644
index 000000000000..de2ca569851a
--- /dev/null
+++ b/galleries/examples/ticks/tick_xlabel_top.py
@@ -0,0 +1,32 @@
+"""
+==================================
+Move x-axis tick labels to the top
+==================================
+
+`~.axes.Axes.tick_params` can be used to configure the ticks. *top* and
+*labeltop* control the visibility tick lines and labels at the top x-axis.
+To move x-axis ticks from bottom to top, we have to activate the top ticks
+and deactivate the bottom ticks::
+
+    ax.tick_params(top=True, labeltop=True, bottom=False, labelbottom=False)
+
+.. note::
+
+    If the change should be made for all future plots and not only the current
+    Axes, you can adapt the respective config parameters
+
+    - :rc:`xtick.top`
+    - :rc:`xtick.labeltop`
+    - :rc:`xtick.bottom`
+    - :rc:`xtick.labelbottom`
+
+"""
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+ax.plot(range(10))
+ax.tick_params(top=True, labeltop=True, bottom=False, labelbottom=False)
+ax.set_title('x-ticks moved to the top')
+
+plt.show()
diff --git a/galleries/examples/ticks/ticklabels_rotation.py b/galleries/examples/ticks/ticklabels_rotation.py
new file mode 100644
index 000000000000..d337ca827cde
--- /dev/null
+++ b/galleries/examples/ticks/ticklabels_rotation.py
@@ -0,0 +1,33 @@
+"""
+===================
+Rotated tick labels
+===================
+"""
+
+import matplotlib.pyplot as plt
+
+x = [1, 2, 3, 4]
+y = [1, 4, 9, 6]
+labels = ['Frogs', 'Hogs', 'Bogs', 'Slogs']
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+# A tick label rotation can be set using Axes.tick_params.
+ax.tick_params("y", rotation=45)
+# Alternatively, if setting custom labels with set_xticks/set_yticks, it can
+# be set at the same time as the labels.
+# For both APIs, the rotation can be an angle in degrees, or one of the strings
+# "horizontal" or "vertical".
+ax.set_xticks(x, labels, rotation='vertical')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.tick_params` / `matplotlib.pyplot.tick_params`
+#    - `matplotlib.axes.Axes.set_xticks` / `matplotlib.pyplot.xticks`
diff --git a/galleries/examples/ticks/ticks_too_many.py b/galleries/examples/ticks/ticks_too_many.py
new file mode 100644
index 000000000000..b70a281bc54d
--- /dev/null
+++ b/galleries/examples/ticks/ticks_too_many.py
@@ -0,0 +1,76 @@
+"""
+=====================
+Fixing too many ticks
+=====================
+
+One common cause for unexpected tick behavior is passing a list of strings
+instead of numbers or datetime objects. This can easily happen without notice
+when reading in a comma-delimited text file. Matplotlib treats lists of strings
+as *categorical* variables
+(:doc:`/gallery/lines_bars_and_markers/categorical_variables`), and by default
+puts one tick per category, and plots them in the order in which they are
+supplied.  If this is not desired, the solution is to convert the strings to
+a numeric type as in the following examples.
+
+"""
+
+# %%
+# Example 1: Strings can lead to an unexpected order of number ticks
+# ------------------------------------------------------------------
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots(1, 2, layout='constrained', figsize=(6, 2.5))
+x = ['1', '5', '2', '3']
+y = [1, 4, 2, 3]
+ax[0].plot(x, y, 'd')
+ax[0].tick_params(axis='x', color='r', labelcolor='r')
+ax[0].set_xlabel('Categories')
+ax[0].set_title('Ticks seem out of order / misplaced')
+
+# convert to numbers:
+x = np.asarray(x, dtype='float')
+ax[1].plot(x, y, 'd')
+ax[1].set_xlabel('Floats')
+ax[1].set_title('Ticks as expected')
+
+# %%
+# Example 2: Strings can lead to very many ticks
+# ----------------------------------------------
+# If *x* has 100 elements, all strings, then we would have 100 (unreadable)
+# ticks, and again the solution is to convert the strings to floats:
+
+fig, ax = plt.subplots(1, 2, figsize=(6, 2.5))
+x = [f'{xx}' for xx in np.arange(100)]
+y = np.arange(100)
+ax[0].plot(x, y)
+ax[0].tick_params(axis='x', color='r', labelcolor='r')
+ax[0].set_title('Too many ticks')
+ax[0].set_xlabel('Categories')
+
+ax[1].plot(np.asarray(x, float), y)
+ax[1].set_title('x converted to numbers')
+ax[1].set_xlabel('Floats')
+
+# %%
+# Example 3: Strings can lead to an unexpected order of datetime ticks
+# --------------------------------------------------------------------
+# A common case is when dates are read from a CSV file, they need to be
+# converted from strings to datetime objects to get the proper date locators
+# and formatters.
+
+fig, ax = plt.subplots(1, 2, layout='constrained', figsize=(6, 2.75))
+x = ['2021-10-01', '2021-11-02', '2021-12-03', '2021-09-01']
+y = [0, 2, 3, 1]
+ax[0].plot(x, y, 'd')
+ax[0].tick_params(axis='x', labelrotation=90, color='r', labelcolor='r')
+ax[0].set_title('Dates out of order')
+
+# convert to datetime64
+x = np.asarray(x, dtype='datetime64[s]')
+ax[1].plot(x, y, 'd')
+ax[1].tick_params(axis='x', labelrotation=90)
+ax[1].set_title('x converted to datetimes')
+
+plt.show()
diff --git a/galleries/examples/units/README.txt b/galleries/examples/units/README.txt
new file mode 100644
index 000000000000..4274635106b8
--- /dev/null
+++ b/galleries/examples/units/README.txt
@@ -0,0 +1,9 @@
+.. _units_examples:
+
+.. _units-examples-index:
+
+Units
+=====
+
+These examples cover the many representations of units
+in Matplotlib.
diff --git a/galleries/examples/units/annotate_with_units.py b/galleries/examples/units/annotate_with_units.py
new file mode 100644
index 000000000000..1a007e986465
--- /dev/null
+++ b/galleries/examples/units/annotate_with_units.py
@@ -0,0 +1,37 @@
+"""
+=====================
+Annotation with units
+=====================
+
+The example illustrates how to create text and arrow
+annotations using a centimeter-scale plot.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+
+from basic_units import cm
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+ax.annotate("Note 01", [0.5*cm, 0.5*cm])
+
+# xy and text both unitized
+ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
+            xytext=(0.8*cm, 0.95*cm), textcoords='data',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='right', verticalalignment='top')
+
+# mixing units w/ nonunits
+ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
+            xytext=(0.8, 0.95), textcoords='axes fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='right', verticalalignment='top')
+
+
+ax.set_xlim(0*cm, 4*cm)
+ax.set_ylim(0*cm, 4*cm)
+plt.show()
diff --git a/galleries/examples/units/artist_tests.py b/galleries/examples/units/artist_tests.py
new file mode 100644
index 000000000000..a6c56954b0c8
--- /dev/null
+++ b/galleries/examples/units/artist_tests.py
@@ -0,0 +1,67 @@
+"""
+============
+Artist tests
+============
+
+Test unit support with each of the Matplotlib primitive artist types.
+
+The axis handles unit conversions and the artists keep a pointer to their axis
+parent. You must initialize the artists with the axis instance if you want to
+use them with unit data, or else they will not know how to convert the units
+to scalars.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+import random
+
+from basic_units import cm, inch
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.collections as collections
+import matplotlib.lines as lines
+import matplotlib.patches as patches
+import matplotlib.text as text
+
+fig, ax = plt.subplots()
+ax.xaxis.set_units(cm)
+ax.yaxis.set_units(cm)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+if 0:
+    # test a line collection
+    # Not supported at present.
+    verts = []
+    for i in range(10):
+        # a random line segment in inches
+        verts.append(zip(*inch*10*np.random.rand(2, random.randint(2, 15))))
+    lc = collections.LineCollection(verts, axes=ax)
+    ax.add_collection(lc)
+
+# test a plain-ol-line
+line = lines.Line2D([0*cm, 1.5*cm], [0*cm, 2.5*cm],
+                    lw=2, color='black', axes=ax)
+ax.add_line(line)
+
+if 0:
+    # test a patch
+    # Not supported at present.
+    rect = patches.Rectangle((1*cm, 1*cm), width=5*cm, height=2*cm,
+                             alpha=0.2, axes=ax)
+    ax.add_patch(rect)
+
+
+t = text.Text(3*cm, 2.5*cm, 'text label', ha='left', va='bottom', axes=ax)
+ax.add_artist(t)
+
+ax.set_xlim(-1*cm, 10*cm)
+ax.set_ylim(-1*cm, 10*cm)
+# ax.xaxis.set_units(inch)
+ax.grid(True)
+ax.set_title("Artists with units")
+plt.show()
diff --git a/galleries/examples/units/bar_demo2.py b/galleries/examples/units/bar_demo2.py
new file mode 100644
index 000000000000..7c0c8215eca4
--- /dev/null
+++ b/galleries/examples/units/bar_demo2.py
@@ -0,0 +1,38 @@
+"""
+===================
+Bar demo with units
+===================
+
+A plot using a variety of centimetre and inch conversions. This example shows
+how default unit introspection works (ax1), how various keywords can be used to
+set the x and y units to override the defaults (ax2, ax3, ax4) and how one can
+set the xlimits using scalars (ax3, current units assumed) or units
+(conversions applied to get the numbers to current units).
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+from basic_units import cm, inch
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+cms = cm * np.arange(0, 10, 2)
+bottom = 0 * cm
+width = 0.8 * cm
+
+fig, axs = plt.subplots(2, 2)
+
+axs[0, 0].bar(cms, cms, bottom=bottom)
+
+axs[0, 1].bar(cms, cms, bottom=bottom, width=width, xunits=cm, yunits=inch)
+
+axs[1, 0].bar(cms, cms, bottom=bottom, width=width, xunits=inch, yunits=cm)
+axs[1, 0].set_xlim(2, 6)  # scalars are interpreted in current units
+
+axs[1, 1].bar(cms, cms, bottom=bottom, width=width, xunits=inch, yunits=inch)
+axs[1, 1].set_xlim(2 * cm, 6 * cm)  # cm are converted to inches
+
+fig.tight_layout()
+plt.show()
diff --git a/galleries/examples/units/bar_unit_demo.py b/galleries/examples/units/bar_unit_demo.py
new file mode 100644
index 000000000000..05e0dfad902d
--- /dev/null
+++ b/galleries/examples/units/bar_unit_demo.py
@@ -0,0 +1,42 @@
+"""
+=========================
+Group barchart with units
+=========================
+
+This is the same example as
+:doc:`the barchart</gallery/lines_bars_and_markers/barchart>` in
+centimeters.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+
+from basic_units import cm, inch
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+N = 5
+tea_means = [15*cm, 10*cm, 8*cm, 12*cm, 5*cm]
+tea_std = [2*cm, 1*cm, 1*cm, 4*cm, 2*cm]
+
+fig, ax = plt.subplots()
+ax.yaxis.set_units(inch)
+
+ind = np.arange(N)    # the x locations for the groups
+width = 0.35         # the width of the bars
+ax.bar(ind, tea_means, width, bottom=0*cm, yerr=tea_std, label='Tea')
+
+coffee_means = (14*cm, 19*cm, 7*cm, 5*cm, 10*cm)
+coffee_std = (3*cm, 5*cm, 2*cm, 1*cm, 2*cm)
+ax.bar(ind + width, coffee_means, width, bottom=0*cm, yerr=coffee_std,
+       label='Coffee')
+
+ax.set_title('Cup height by group and beverage choice')
+ax.set_xticks(ind + width / 2, labels=['G1', 'G2', 'G3', 'G4', 'G5'])
+
+ax.legend()
+ax.autoscale_view()
+
+plt.show()
diff --git a/galleries/examples/units/basic_units.py b/galleries/examples/units/basic_units.py
new file mode 100644
index 000000000000..f7bdcc18b0dc
--- /dev/null
+++ b/galleries/examples/units/basic_units.py
@@ -0,0 +1,400 @@
+"""
+.. _basic_units:
+
+===========
+Basic units
+===========
+
+
+This file implements a units library that supports registering arbitrary units,
+conversions between units, and math with unitized data. This library also implements a
+Matplotlib unit converter and registers its units with Matplotlib. This library is used
+in the examples to demonstrate Matplotlib's unit support. It is only maintained for the
+purposes of building documentation and should never be used outside of the Matplotlib
+documentation.
+
+"""
+
+import itertools
+import math
+
+from packaging.version import parse as parse_version
+
+import numpy as np
+
+import matplotlib.ticker as ticker
+import matplotlib.units as units
+
+
+class ProxyDelegate:
+    def __init__(self, fn_name, proxy_type):
+        self.proxy_type = proxy_type
+        self.fn_name = fn_name
+
+    def __get__(self, obj, objtype=None):
+        return self.proxy_type(self.fn_name, obj)
+
+
+class TaggedValueMeta(type):
+    def __init__(self, name, bases, dict):
+        for fn_name in self._proxies:
+            if not hasattr(self, fn_name):
+                setattr(self, fn_name,
+                        ProxyDelegate(fn_name, self._proxies[fn_name]))
+
+
+class PassThroughProxy:
+    def __init__(self, fn_name, obj):
+        self.fn_name = fn_name
+        self.target = obj.proxy_target
+
+    def __call__(self, *args):
+        fn = getattr(self.target, self.fn_name)
+        ret = fn(*args)
+        return ret
+
+
+class ConvertArgsProxy(PassThroughProxy):
+    def __init__(self, fn_name, obj):
+        super().__init__(fn_name, obj)
+        self.unit = obj.unit
+
+    def __call__(self, *args):
+        converted_args = []
+        for a in args:
+            try:
+                converted_args.append(a.convert_to(self.unit))
+            except AttributeError:
+                converted_args.append(TaggedValue(a, self.unit))
+        converted_args = tuple([c.get_value() for c in converted_args])
+        return super().__call__(*converted_args)
+
+
+class ConvertReturnProxy(PassThroughProxy):
+    def __init__(self, fn_name, obj):
+        super().__init__(fn_name, obj)
+        self.unit = obj.unit
+
+    def __call__(self, *args):
+        ret = super().__call__(*args)
+        return (NotImplemented if ret is NotImplemented
+                else TaggedValue(ret, self.unit))
+
+
+class ConvertAllProxy(PassThroughProxy):
+    def __init__(self, fn_name, obj):
+        super().__init__(fn_name, obj)
+        self.unit = obj.unit
+
+    def __call__(self, *args):
+        converted_args = []
+        arg_units = [self.unit]
+        for a in args:
+            if hasattr(a, 'get_unit') and not hasattr(a, 'convert_to'):
+                # If this argument has a unit type but no conversion ability,
+                # this operation is prohibited.
+                return NotImplemented
+
+            if hasattr(a, 'convert_to'):
+                try:
+                    a = a.convert_to(self.unit)
+                except Exception:
+                    pass
+                arg_units.append(a.get_unit())
+                converted_args.append(a.get_value())
+            else:
+                converted_args.append(a)
+                if hasattr(a, 'get_unit'):
+                    arg_units.append(a.get_unit())
+                else:
+                    arg_units.append(None)
+        converted_args = tuple(converted_args)
+        ret = super().__call__(*converted_args)
+        if ret is NotImplemented:
+            return NotImplemented
+        ret_unit = unit_resolver(self.fn_name, arg_units)
+        if ret_unit is NotImplemented:
+            return NotImplemented
+        return TaggedValue(ret, ret_unit)
+
+
+class TaggedValue(metaclass=TaggedValueMeta):
+
+    _proxies = {'__add__': ConvertAllProxy,
+                '__sub__': ConvertAllProxy,
+                '__mul__': ConvertAllProxy,
+                '__rmul__': ConvertAllProxy,
+                '__cmp__': ConvertAllProxy,
+                '__lt__': ConvertAllProxy,
+                '__gt__': ConvertAllProxy,
+                '__len__': PassThroughProxy}
+
+    def __new__(cls, value, unit):
+        # generate a new subclass for value
+        value_class = type(value)
+        try:
+            subcls = type(f'TaggedValue_of_{value_class.__name__}',
+                          (cls, value_class), {})
+            return object.__new__(subcls)
+        except TypeError:
+            return object.__new__(cls)
+
+    def __init__(self, value, unit):
+        self.value = value
+        self.unit = unit
+        self.proxy_target = self.value
+
+    def __copy__(self):
+        return TaggedValue(self.value, self.unit)
+
+    def __getattribute__(self, name):
+        if name.startswith('__'):
+            return object.__getattribute__(self, name)
+        variable = object.__getattribute__(self, 'value')
+        if hasattr(variable, name) and name not in self.__class__.__dict__:
+            return getattr(variable, name)
+        return object.__getattribute__(self, name)
+
+    def __array__(self, dtype=object, copy=False):
+        return np.asarray(self.value, dtype)
+
+    def __array_wrap__(self, array, context=None, return_scalar=False):
+        return TaggedValue(array, self.unit)
+
+    def __repr__(self):
+        return f'TaggedValue({self.value!r}, {self.unit!r})'
+
+    def __str__(self):
+        return f"{self.value} in {self.unit}"
+
+    def __len__(self):
+        return len(self.value)
+
+    if parse_version(np.__version__) >= parse_version('1.20'):
+        def __getitem__(self, key):
+            return TaggedValue(self.value[key], self.unit)
+
+    def __iter__(self):
+        # Return a generator expression rather than use `yield`, so that
+        # TypeError is raised by iter(self) if appropriate when checking for
+        # iterability.
+        return (TaggedValue(inner, self.unit) for inner in self.value)
+
+    def get_compressed_copy(self, mask):
+        new_value = np.ma.masked_array(self.value, mask=mask).compressed()
+        return TaggedValue(new_value, self.unit)
+
+    def convert_to(self, unit):
+        if unit == self.unit or not unit:
+            return self
+        try:
+            new_value = self.unit.convert_value_to(self.value, unit)
+        except AttributeError:
+            new_value = self
+        return TaggedValue(new_value, unit)
+
+    def get_value(self):
+        return self.value
+
+    def get_unit(self):
+        return self.unit
+
+
+class BasicUnit:
+    # numpy scalars convert eager and np.float64(2) * BasicUnit('cm')
+    # would thus return a numpy scalar. To avoid this, we increase the
+    # priority of the BasicUnit.
+    __array_priority__ = np.float64(0).__array_priority__ + 1
+
+    def __init__(self, name, fullname=None):
+        self.name = name
+        if fullname is None:
+            fullname = name
+        self.fullname = fullname
+        self.conversions = dict()
+
+    def __repr__(self):
+        return f'BasicUnit({self.name})'
+
+    def __str__(self):
+        return self.fullname
+
+    def __call__(self, value):
+        return TaggedValue(value, self)
+
+    def __mul__(self, rhs):
+        value = rhs
+        unit = self
+        if hasattr(rhs, 'get_unit'):
+            value = rhs.get_value()
+            unit = rhs.get_unit()
+            unit = unit_resolver('__mul__', (self, unit))
+        if unit is NotImplemented:
+            return NotImplemented
+        return TaggedValue(value, unit)
+
+    def __rmul__(self, lhs):
+        return self*lhs
+
+    def __array_wrap__(self, array, context=None, return_scalar=False):
+        return TaggedValue(array, self)
+
+    def __array__(self, t=None, context=None, copy=False):
+        ret = np.array(1)
+        if t is not None:
+            return ret.astype(t)
+        else:
+            return ret
+
+    def add_conversion_factor(self, unit, factor):
+        def convert(x):
+            return x*factor
+        self.conversions[unit] = convert
+
+    def add_conversion_fn(self, unit, fn):
+        self.conversions[unit] = fn
+
+    def get_conversion_fn(self, unit):
+        return self.conversions[unit]
+
+    def convert_value_to(self, value, unit):
+        conversion_fn = self.conversions[unit]
+        ret = conversion_fn(value)
+        return ret
+
+    def get_unit(self):
+        return self
+
+
+class UnitResolver:
+    def addition_rule(self, units):
+        for unit_1, unit_2 in itertools.pairwise(units):
+            if unit_1 != unit_2:
+                return NotImplemented
+        return units[0]
+
+    def multiplication_rule(self, units):
+        non_null = [u for u in units if u]
+        if len(non_null) > 1:
+            return NotImplemented
+        return non_null[0]
+
+    op_dict = {
+        '__mul__': multiplication_rule,
+        '__rmul__': multiplication_rule,
+        '__add__': addition_rule,
+        '__radd__': addition_rule,
+        '__sub__': addition_rule,
+        '__rsub__': addition_rule}
+
+    def __call__(self, operation, units):
+        if operation not in self.op_dict:
+            return NotImplemented
+
+        return self.op_dict[operation](self, units)
+
+
+unit_resolver = UnitResolver()
+
+cm = BasicUnit('cm', 'centimeters')
+inch = BasicUnit('inch', 'inches')
+inch.add_conversion_factor(cm, 2.54)
+cm.add_conversion_factor(inch, 1/2.54)
+
+radians = BasicUnit('rad', 'radians')
+degrees = BasicUnit('deg', 'degrees')
+radians.add_conversion_factor(degrees, 180.0/np.pi)
+degrees.add_conversion_factor(radians, np.pi/180.0)
+
+secs = BasicUnit('s', 'seconds')
+hertz = BasicUnit('Hz', 'Hertz')
+minutes = BasicUnit('min', 'minutes')
+
+secs.add_conversion_fn(hertz, lambda x: 1./x)
+secs.add_conversion_factor(minutes, 1/60.0)
+
+
+# radians formatting
+def rad_fn(x, pos=None):
+    if x >= 0:
+        n = int((x / np.pi) * 2.0 + 0.25)
+    else:
+        n = int((x / np.pi) * 2.0 - 0.25)
+
+    if n == 0:
+        return '0'
+    elif n == 1:
+        return r'$\pi/2$'
+    elif n == 2:
+        return r'$\pi$'
+    elif n == -1:
+        return r'$-\pi/2$'
+    elif n == -2:
+        return r'$-\pi$'
+    elif n % 2 == 0:
+        return fr'${n//2}\pi$'
+    else:
+        return fr'${n}\pi/2$'
+
+
+class BasicUnitConverter(units.ConversionInterface):
+    @staticmethod
+    def axisinfo(unit, axis):
+        """Return AxisInfo instance for x and unit."""
+
+        if unit == radians:
+            return units.AxisInfo(
+                majloc=ticker.MultipleLocator(base=np.pi/2),
+                majfmt=ticker.FuncFormatter(rad_fn),
+                label=unit.fullname,
+            )
+        elif unit == degrees:
+            return units.AxisInfo(
+                majloc=ticker.AutoLocator(),
+                majfmt=ticker.FormatStrFormatter(r'$%i^\circ$'),
+                label=unit.fullname,
+            )
+        elif unit is not None:
+            if hasattr(unit, 'fullname'):
+                return units.AxisInfo(label=unit.fullname)
+            elif hasattr(unit, 'unit'):
+                return units.AxisInfo(label=unit.unit.fullname)
+        return None
+
+    @staticmethod
+    def convert(val, unit, axis):
+        if np.iterable(val):
+            if isinstance(val, np.ma.MaskedArray):
+                val = val.astype(float).filled(np.nan)
+            out = np.empty(len(val))
+            for i, thisval in enumerate(val):
+                if np.ma.is_masked(thisval):
+                    out[i] = np.nan
+                else:
+                    try:
+                        out[i] = thisval.convert_to(unit).get_value()
+                    except AttributeError:
+                        out[i] = thisval
+            return out
+        if np.ma.is_masked(val):
+            return np.nan
+        else:
+            return val.convert_to(unit).get_value()
+
+    @staticmethod
+    def default_units(x, axis):
+        """Return the default unit for x or None."""
+        if np.iterable(x):
+            for thisx in x:
+                return thisx.unit
+        return x.unit
+
+
+def cos(x):
+    if np.iterable(x):
+        return [math.cos(val.convert_to(radians).get_value()) for val in x]
+    else:
+        return math.cos(x.convert_to(radians).get_value())
+
+
+units.registry[BasicUnit] = units.registry[TaggedValue] = BasicUnitConverter()
diff --git a/examples/units/ellipse_with_units.py b/galleries/examples/units/ellipse_with_units.py
similarity index 75%
rename from examples/units/ellipse_with_units.py
rename to galleries/examples/units/ellipse_with_units.py
index c810058e63ba..e4518c90eeb9 100644
--- a/examples/units/ellipse_with_units.py
+++ b/galleries/examples/units/ellipse_with_units.py
@@ -1,35 +1,47 @@
 """
-Compare the ellipse generated with arcs versus a polygonal approximation
+==================
+Ellipse with units
+==================
+
+Compare the ellipse generated with arcs versus a polygonal approximation.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
 """
+
 from basic_units import cm
-import numpy as np
-from matplotlib import patches
+
 import matplotlib.pyplot as plt
+import numpy as np
 
+from matplotlib import patches
 
 xcenter, ycenter = 0.38*cm, 0.52*cm
-#xcenter, ycenter = 0., 0.
 width, height = 1e-1*cm, 3e-1*cm
 angle = -30
 
-theta = np.arange(0.0, 360.0, 1.0)*np.pi/180.0
+theta = np.deg2rad(np.arange(0.0, 360.0, 1.0))
 x = 0.5 * width * np.cos(theta)
 y = 0.5 * height * np.sin(theta)
 
-rtheta = angle*np.pi/180.
+rtheta = np.radians(angle)
 R = np.array([
     [np.cos(rtheta), -np.sin(rtheta)],
     [np.sin(rtheta),  np.cos(rtheta)],
     ])
 
 
-x, y = np.dot(R, np.array([x, y]))
+x, y = np.dot(R, [x, y])
 x += xcenter
 y += ycenter
 
+# %%
+
 fig = plt.figure()
 ax = fig.add_subplot(211, aspect='auto')
-ax.fill(x, y, alpha=0.2, facecolor='yellow', edgecolor='yellow', linewidth=1, zorder=1)
+ax.fill(x, y, alpha=0.2, facecolor='yellow',
+        edgecolor='yellow', linewidth=1, zorder=1)
 
 e1 = patches.Ellipse((xcenter, ycenter), width, height,
                      angle=angle, linewidth=2, fill=False, zorder=2)
@@ -43,13 +55,14 @@
 
 
 ax.add_patch(e2)
-
-#fig.savefig('ellipse_compare.png')
 fig.savefig('ellipse_compare')
 
+# %%
+
 fig = plt.figure()
 ax = fig.add_subplot(211, aspect='auto')
-ax.fill(x, y, alpha=0.2, facecolor='yellow', edgecolor='yellow', linewidth=1, zorder=1)
+ax.fill(x, y, alpha=0.2, facecolor='yellow',
+        edgecolor='yellow', linewidth=1, zorder=1)
 
 e1 = patches.Arc((xcenter, ycenter), width, height,
                  angle=angle, linewidth=2, fill=False, zorder=2)
@@ -63,8 +76,6 @@
 
 
 ax.add_patch(e2)
-
-#fig.savefig('arc_compare.png')
 fig.savefig('arc_compare')
 
 plt.show()
diff --git a/galleries/examples/units/evans_test.py b/galleries/examples/units/evans_test.py
new file mode 100644
index 000000000000..b86b73bf5675
--- /dev/null
+++ b/galleries/examples/units/evans_test.py
@@ -0,0 +1,87 @@
+"""
+==========
+Evans test
+==========
+
+A mockup "Foo" units class which supports conversion and different tick
+formatting depending on the "unit".  Here the "unit" is just a scalar
+conversion factor, but this example shows that Matplotlib is entirely agnostic
+to what kind of units client packages use.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.ticker as ticker
+import matplotlib.units as units
+
+
+class Foo:
+    def __init__(self, val, unit=1.0):
+        self.unit = unit
+        self._val = val * unit
+
+    def value(self, unit):
+        if unit is None:
+            unit = self.unit
+        return self._val / unit
+
+
+class FooConverter(units.ConversionInterface):
+    @staticmethod
+    def axisinfo(unit, axis):
+        """Return the Foo AxisInfo."""
+        if unit == 1.0 or unit == 2.0:
+            return units.AxisInfo(
+                majloc=ticker.IndexLocator(8, 0),
+                majfmt=ticker.FormatStrFormatter("VAL: %s"),
+                label='foo',
+                )
+
+        else:
+            return None
+
+    @staticmethod
+    def convert(obj, unit, axis):
+        """
+        Convert *obj* using *unit*.
+
+        If *obj* is a sequence, return the converted sequence.
+        """
+        if np.iterable(obj):
+            return [o.value(unit) for o in obj]
+        else:
+            return obj.value(unit)
+
+    @staticmethod
+    def default_units(x, axis):
+        """Return the default unit for *x* or None."""
+        if np.iterable(x):
+            for thisx in x:
+                return thisx.unit
+        else:
+            return x.unit
+
+
+units.registry[Foo] = FooConverter()
+
+# create some Foos
+x = [Foo(val, 1.0) for val in range(0, 50, 2)]
+# and some arbitrary y data
+y = [i for i in range(len(x))]
+
+fig, (ax1, ax2) = plt.subplots(1, 2)
+fig.suptitle("Custom units")
+fig.subplots_adjust(bottom=0.2)
+
+# plot specifying units
+ax2.plot(x, y, 'o', xunits=2.0)
+ax2.set_title("xunits = 2.0")
+ax2.tick_params(axis='x', rotation=30, rotation_mode='xtick')
+
+# plot without specifying units; will use the None branch for axisinfo
+ax1.plot(x, y)  # uses default units
+ax1.set_title('default units')
+ax1.tick_params(axis='x', rotation=30, rotation_mode='xtick')
+
+plt.show()
diff --git a/galleries/examples/units/radian_demo.py b/galleries/examples/units/radian_demo.py
new file mode 100644
index 000000000000..492a1e971c55
--- /dev/null
+++ b/galleries/examples/units/radian_demo.py
@@ -0,0 +1,30 @@
+"""
+============
+Radian ticks
+============
+
+Plot with radians from the basic_units mockup example package.
+
+
+This example shows how the unit class can determine the tick locating,
+formatting and axis labeling.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+
+from basic_units import cos, degrees, radians
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = [val*radians for val in np.arange(0, 15, 0.01)]
+
+fig, axs = plt.subplots(2)
+
+axs[0].plot(x, cos(x), xunits=radians)
+axs[1].plot(x, cos(x), xunits=degrees)
+
+fig.tight_layout()
+plt.show()
diff --git a/galleries/examples/units/units_sample.py b/galleries/examples/units/units_sample.py
new file mode 100644
index 000000000000..2690ee7db727
--- /dev/null
+++ b/galleries/examples/units/units_sample.py
@@ -0,0 +1,35 @@
+"""
+======================
+Inches and centimeters
+======================
+
+The example illustrates the ability to override default x and y units (ax1) to
+inches and centimeters using the *xunits* and *yunits* parameters for the
+`~.axes.Axes.plot` function. Note that conversions are applied to get numbers
+to correct units.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+
+"""
+from basic_units import cm, inch
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+cms = cm * np.arange(0, 10, 2)
+
+fig, axs = plt.subplots(2, 2, layout='constrained')
+
+axs[0, 0].plot(cms, cms)
+
+axs[0, 1].plot(cms, cms, xunits=cm, yunits=inch)
+
+axs[1, 0].plot(cms, cms, xunits=inch, yunits=cm)
+axs[1, 0].set_xlim(-1, 4)  # scalars are interpreted in current units
+
+axs[1, 1].plot(cms, cms, xunits=inch, yunits=inch)
+axs[1, 1].set_xlim(3*cm, 6*cm)  # cm are converted to inches
+
+plt.show()
diff --git a/galleries/examples/units/units_scatter.py b/galleries/examples/units/units_scatter.py
new file mode 100644
index 000000000000..bcaf2c6bee18
--- /dev/null
+++ b/galleries/examples/units/units_scatter.py
@@ -0,0 +1,31 @@
+"""
+=============
+Unit handling
+=============
+
+The example below shows support for unit conversions over masked
+arrays.
+
+.. only:: builder_html
+
+   This example requires :download:`basic_units.py <basic_units.py>`
+"""
+from basic_units import hertz, minutes, secs
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# create masked array
+data = (1, 2, 3, 4, 5, 6, 7, 8)
+mask = (1, 0, 1, 0, 0, 0, 1, 0)
+xsecs = secs * np.ma.MaskedArray(data, mask, float)
+
+fig, (ax1, ax2, ax3) = plt.subplots(nrows=3, sharex=True)
+
+ax1.scatter(xsecs, xsecs)
+ax1.yaxis.set_units(secs)
+ax2.scatter(xsecs, xsecs, yunits=hertz)
+ax3.scatter(xsecs, xsecs, yunits=minutes)
+
+fig.tight_layout()
+plt.show()
diff --git a/galleries/examples/user_interfaces/README.txt b/galleries/examples/user_interfaces/README.txt
new file mode 100644
index 000000000000..75b469da7cf6
--- /dev/null
+++ b/galleries/examples/user_interfaces/README.txt
@@ -0,0 +1,13 @@
+.. _user_interfaces:
+
+Embedding Matplotlib in graphical user interfaces
+=================================================
+
+You can embed Matplotlib directly into a user interface application by
+following the embedding_in_SOMEGUI.py examples here. Currently
+Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython.
+
+When embedding Matplotlib in a GUI, you must use the Matplotlib API
+directly rather than the pylab/pyplot procedural interface, so take a
+look at the examples/api directory for some example code working with
+the API.
diff --git a/galleries/examples/user_interfaces/canvasagg.py b/galleries/examples/user_interfaces/canvasagg.py
new file mode 100644
index 000000000000..0e460cc64539
--- /dev/null
+++ b/galleries/examples/user_interfaces/canvasagg.py
@@ -0,0 +1,71 @@
+"""
+==============
+CanvasAgg demo
+==============
+
+This example shows how to use the agg backend directly to create images, which
+may be of use to web application developers who want full control over their
+code without using the pyplot interface to manage figures, figure closing etc.
+
+.. note::
+
+    It is not necessary to avoid using the pyplot interface in order to
+    create figures without a graphical front-end - simply setting
+    the backend to "Agg" would be sufficient.
+
+In this example, we show how to save the contents of the agg canvas to a file,
+and how to extract them to a numpy array, which can in turn be passed off
+to Pillow_.  The latter functionality allows e.g. to use Matplotlib inside a
+cgi-script *without* needing to write a figure to disk, and to write images in
+any format supported by Pillow.
+
+.. _Pillow: https://pillow.readthedocs.io/
+.. redirect-from:: /gallery/misc/agg_buffer
+.. redirect-from:: /gallery/misc/agg_buffer_to_array
+"""
+
+from PIL import Image
+
+import numpy as np
+
+from matplotlib.backends.backend_agg import FigureCanvasAgg
+from matplotlib.figure import Figure
+
+fig = Figure(figsize=(5, 4), dpi=100)
+# A canvas must be manually attached to the figure (pyplot would automatically
+# do it).  This is done by instantiating the canvas with the figure as
+# argument.
+canvas = FigureCanvasAgg(fig)
+
+# Do some plotting.
+ax = fig.add_subplot()
+ax.plot([1, 2, 3])
+
+# Option 1: Save the figure to a file; can also be a file-like object (BytesIO,
+# etc.).
+fig.savefig("test.png")
+
+# Option 2: Retrieve a memoryview on the renderer buffer, and convert it to a
+# numpy array.
+canvas.draw()
+rgba = np.asarray(canvas.buffer_rgba())
+# ... and pass it to PIL.
+im = Image.fromarray(rgba)
+# This image can then be saved to any format supported by Pillow, e.g.:
+im.save("test.bmp")
+
+# Uncomment this line to display the image using ImageMagick's `display` tool.
+# im.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.backends.backend_agg.FigureCanvasAgg`
+#    - `matplotlib.figure.Figure`
+#    - `matplotlib.figure.Figure.add_subplot`
+#    - `matplotlib.figure.Figure.savefig` / `matplotlib.pyplot.savefig`
+#    - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`
diff --git a/galleries/examples/user_interfaces/embedding_in_gtk3_panzoom_sgskip.py b/galleries/examples/user_interfaces/embedding_in_gtk3_panzoom_sgskip.py
new file mode 100644
index 000000000000..7c3b04041009
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_gtk3_panzoom_sgskip.py
@@ -0,0 +1,45 @@
+"""
+=======================================
+Embed in GTK3 with a navigation toolbar
+=======================================
+
+Demonstrate NavigationToolbar with GTK3 accessed via pygobject.
+"""
+
+import gi
+
+gi.require_version('Gtk', '3.0')
+from gi.repository import Gtk
+
+import numpy as np
+
+from matplotlib.backends.backend_gtk3 import \
+    NavigationToolbar2GTK3 as NavigationToolbar
+from matplotlib.backends.backend_gtk3agg import \
+    FigureCanvasGTK3Agg as FigureCanvas
+from matplotlib.figure import Figure
+
+win = Gtk.Window()
+win.connect("delete-event", Gtk.main_quit)
+win.set_default_size(400, 300)
+win.set_title("Embedded in GTK3")
+
+fig = Figure(figsize=(5, 4), dpi=100)
+ax = fig.add_subplot(1, 1, 1)
+t = np.arange(0.0, 3.0, 0.01)
+s = np.sin(2*np.pi*t)
+ax.plot(t, s)
+
+vbox = Gtk.VBox()
+win.add(vbox)
+
+# Add canvas to vbox
+canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+vbox.pack_start(canvas, True, True, 0)
+
+# Create toolbar
+toolbar = NavigationToolbar(canvas)
+vbox.pack_start(toolbar, False, False, 0)
+
+win.show_all()
+Gtk.main()
diff --git a/galleries/examples/user_interfaces/embedding_in_gtk3_sgskip.py b/galleries/examples/user_interfaces/embedding_in_gtk3_sgskip.py
new file mode 100644
index 000000000000..51ceebb501e3
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_gtk3_sgskip.py
@@ -0,0 +1,42 @@
+"""
+=============
+Embed in GTK3
+=============
+
+Demonstrate adding a FigureCanvasGTK3Agg widget to a Gtk.ScrolledWindow using
+GTK3 accessed via pygobject.
+"""
+
+import gi
+
+gi.require_version('Gtk', '3.0')
+from gi.repository import Gtk
+
+import numpy as np
+
+from matplotlib.backends.backend_gtk3agg import \
+    FigureCanvasGTK3Agg as FigureCanvas
+from matplotlib.figure import Figure
+
+win = Gtk.Window()
+win.connect("delete-event", Gtk.main_quit)
+win.set_default_size(400, 300)
+win.set_title("Embedded in GTK3")
+
+fig = Figure(figsize=(5, 4), dpi=100)
+ax = fig.add_subplot()
+t = np.arange(0.0, 3.0, 0.01)
+s = np.sin(2*np.pi*t)
+ax.plot(t, s)
+
+sw = Gtk.ScrolledWindow()
+win.add(sw)
+# A scrolled window border goes outside the scrollbars and viewport
+sw.set_border_width(10)
+
+canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+canvas.set_size_request(800, 600)
+sw.add(canvas)
+
+win.show_all()
+Gtk.main()
diff --git a/galleries/examples/user_interfaces/embedding_in_gtk4_panzoom_sgskip.py b/galleries/examples/user_interfaces/embedding_in_gtk4_panzoom_sgskip.py
new file mode 100644
index 000000000000..e42e59459198
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_gtk4_panzoom_sgskip.py
@@ -0,0 +1,53 @@
+"""
+=======================================
+Embed in GTK4 with a navigation toolbar
+=======================================
+
+Demonstrate NavigationToolbar with GTK4 accessed via pygobject.
+"""
+
+import gi
+
+gi.require_version('Gtk', '4.0')
+from gi.repository import Gtk
+
+import numpy as np
+
+from matplotlib.backends.backend_gtk4 import \
+    NavigationToolbar2GTK4 as NavigationToolbar
+from matplotlib.backends.backend_gtk4agg import \
+    FigureCanvasGTK4Agg as FigureCanvas
+from matplotlib.figure import Figure
+
+
+def on_activate(app):
+    win = Gtk.ApplicationWindow(application=app)
+    win.set_default_size(400, 300)
+    win.set_title("Embedded in GTK4")
+
+    fig = Figure(figsize=(5, 4), dpi=100)
+    ax = fig.add_subplot(1, 1, 1)
+    t = np.arange(0.0, 3.0, 0.01)
+    s = np.sin(2*np.pi*t)
+    ax.plot(t, s)
+
+    vbox = Gtk.Box(orientation=Gtk.Orientation.VERTICAL)
+    win.set_child(vbox)
+
+    # Add canvas to vbox
+    canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+    canvas.set_hexpand(True)
+    canvas.set_vexpand(True)
+    vbox.append(canvas)
+
+    # Create toolbar
+    toolbar = NavigationToolbar(canvas)
+    vbox.append(toolbar)
+
+    win.show()
+
+
+app = Gtk.Application(
+    application_id='org.matplotlib.examples.EmbeddingInGTK4PanZoom')
+app.connect('activate', on_activate)
+app.run(None)
diff --git a/galleries/examples/user_interfaces/embedding_in_gtk4_sgskip.py b/galleries/examples/user_interfaces/embedding_in_gtk4_sgskip.py
new file mode 100644
index 000000000000..197cd7971088
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_gtk4_sgskip.py
@@ -0,0 +1,47 @@
+"""
+=============
+Embed in GTK4
+=============
+
+Demonstrate adding a FigureCanvasGTK4Agg widget to a Gtk.ScrolledWindow using
+GTK4 accessed via pygobject.
+"""
+
+import gi
+
+gi.require_version('Gtk', '4.0')
+from gi.repository import Gtk
+
+import numpy as np
+
+from matplotlib.backends.backend_gtk4agg import \
+    FigureCanvasGTK4Agg as FigureCanvas
+from matplotlib.figure import Figure
+
+
+def on_activate(app):
+    win = Gtk.ApplicationWindow(application=app)
+    win.set_default_size(400, 300)
+    win.set_title("Embedded in GTK4")
+
+    fig = Figure(figsize=(5, 4), dpi=100)
+    ax = fig.add_subplot()
+    t = np.arange(0.0, 3.0, 0.01)
+    s = np.sin(2*np.pi*t)
+    ax.plot(t, s)
+
+    # A scrolled margin goes outside the scrollbars and viewport.
+    sw = Gtk.ScrolledWindow(margin_top=10, margin_bottom=10,
+                            margin_start=10, margin_end=10)
+    win.set_child(sw)
+
+    canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+    canvas.set_size_request(800, 600)
+    sw.set_child(canvas)
+
+    win.show()
+
+
+app = Gtk.Application(application_id='org.matplotlib.examples.EmbeddingInGTK4')
+app.connect('activate', on_activate)
+app.run(None)
diff --git a/galleries/examples/user_interfaces/embedding_in_qt_sgskip.py b/galleries/examples/user_interfaces/embedding_in_qt_sgskip.py
new file mode 100644
index 000000000000..cea1a89c29df
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_qt_sgskip.py
@@ -0,0 +1,88 @@
+"""
+===========
+Embed in Qt
+===========
+
+Simple Qt application embedding Matplotlib canvases.  This program will work
+equally well using any Qt binding (PyQt6, PySide6, PyQt5, PySide2).  The
+binding can be selected by setting the :envvar:`QT_API` environment variable to
+the binding name, or by first importing it.
+"""
+
+import sys
+import time
+
+import numpy as np
+
+from matplotlib.backends.backend_qtagg import FigureCanvas
+from matplotlib.backends.backend_qtagg import \
+    NavigationToolbar2QT as NavigationToolbar
+from matplotlib.backends.qt_compat import QtWidgets
+from matplotlib.figure import Figure
+
+
+class ApplicationWindow(QtWidgets.QMainWindow):
+    def __init__(self):
+        super().__init__()
+        self._main = QtWidgets.QWidget()
+        self.setCentralWidget(self._main)
+        layout = QtWidgets.QVBoxLayout(self._main)
+
+        static_canvas = FigureCanvas(Figure(figsize=(5, 3)))
+        # Ideally one would use self.addToolBar here, but it is slightly
+        # incompatible between PyQt6 and other bindings, so we just add the
+        # toolbar as a plain widget instead.
+        layout.addWidget(NavigationToolbar(static_canvas, self))
+        layout.addWidget(static_canvas)
+
+        dynamic_canvas = FigureCanvas(Figure(figsize=(5, 3)))
+        layout.addWidget(dynamic_canvas)
+        layout.addWidget(NavigationToolbar(dynamic_canvas, self))
+
+        self._static_ax = static_canvas.figure.subplots()
+        t = np.linspace(0, 10, 501)
+        self._static_ax.plot(t, np.tan(t), ".")
+
+        self._dynamic_ax = dynamic_canvas.figure.subplots()
+        # Set up a Line2D.
+        self.xdata = np.linspace(0, 10, 101)
+        self._update_ydata()
+        self._line, = self._dynamic_ax.plot(self.xdata, self.ydata)
+        # The below two timers must be attributes of self, so that the garbage
+        # collector won't clean them after we finish with __init__...
+
+        # The data retrieval may be fast as possible (Using QRunnable could be
+        # even faster).
+        self.data_timer = dynamic_canvas.new_timer(1)
+        self.data_timer.add_callback(self._update_ydata)
+        self.data_timer.start()
+        # Drawing at 50Hz should be fast enough for the GUI to feel smooth, and
+        # not too fast for the GUI to be overloaded with events that need to be
+        # processed while the GUI element is changed.
+        self.drawing_timer = dynamic_canvas.new_timer(20)
+        self.drawing_timer.add_callback(self._update_canvas)
+        self.drawing_timer.start()
+
+    def _update_ydata(self):
+        # Shift the sinusoid as a function of time.
+        self.ydata = np.sin(self.xdata + time.time())
+
+    def _update_canvas(self):
+        self._line.set_data(self.xdata, self.ydata)
+        # It should be safe to use the synchronous draw() method for most drawing
+        # frequencies, but it is safer to use draw_idle().
+        self._line.figure.canvas.draw_idle()
+
+
+if __name__ == "__main__":
+    # Check whether there is already a running QApplication (e.g., if running
+    # from an IDE).
+    qapp = QtWidgets.QApplication.instance()
+    if not qapp:
+        qapp = QtWidgets.QApplication(sys.argv)
+
+    app = ApplicationWindow()
+    app.show()
+    app.activateWindow()
+    app.raise_()
+    qapp.exec()
diff --git a/galleries/examples/user_interfaces/embedding_in_tk_sgskip.py b/galleries/examples/user_interfaces/embedding_in_tk_sgskip.py
new file mode 100644
index 000000000000..7474f40b4bac
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_tk_sgskip.py
@@ -0,0 +1,66 @@
+"""
+===========
+Embed in Tk
+===========
+
+"""
+
+import tkinter
+
+import numpy as np
+
+# Implement the default Matplotlib key bindings.
+from matplotlib.backend_bases import key_press_handler
+from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg,
+                                               NavigationToolbar2Tk)
+from matplotlib.figure import Figure
+
+root = tkinter.Tk()
+root.wm_title("Embedded in Tk")
+
+fig = Figure(figsize=(5, 4), dpi=100)
+t = np.arange(0, 3, .01)
+ax = fig.add_subplot()
+line, = ax.plot(t, 2 * np.sin(2 * np.pi * t))
+ax.set_xlabel("time [s]")
+ax.set_ylabel("f(t)")
+
+canvas = FigureCanvasTkAgg(fig, master=root)  # A tk.DrawingArea.
+canvas.draw()
+
+# pack_toolbar=False will make it easier to use a layout manager later on.
+toolbar = NavigationToolbar2Tk(canvas, root, pack_toolbar=False)
+toolbar.update()
+
+canvas.mpl_connect(
+    "key_press_event", lambda event: print(f"you pressed {event.key}"))
+canvas.mpl_connect("key_press_event", key_press_handler)
+
+button_quit = tkinter.Button(master=root, text="Quit", command=root.destroy)
+
+
+def update_frequency(new_val):
+    # retrieve frequency
+    f = float(new_val)
+
+    # update data
+    y = 2 * np.sin(2 * np.pi * f * t)
+    line.set_data(t, y)
+
+    # required to update canvas and attached toolbar!
+    canvas.draw()
+
+
+slider_update = tkinter.Scale(root, from_=1, to=5, orient=tkinter.HORIZONTAL,
+                              command=update_frequency, label="Frequency [Hz]")
+
+# Packing order is important. Widgets are processed sequentially and if there
+# is no space left, because the window is too small, they are not displayed.
+# The canvas is rather flexible in its size, so we pack it last which makes
+# sure the UI controls are displayed as long as possible.
+button_quit.pack(side=tkinter.BOTTOM)
+slider_update.pack(side=tkinter.BOTTOM)
+toolbar.pack(side=tkinter.BOTTOM, fill=tkinter.X)
+canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=True)
+
+tkinter.mainloop()
diff --git a/galleries/examples/user_interfaces/embedding_in_wx2_sgskip.py b/galleries/examples/user_interfaces/embedding_in_wx2_sgskip.py
new file mode 100644
index 000000000000..634d8c511aa7
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_wx2_sgskip.py
@@ -0,0 +1,64 @@
+"""
+==============
+Embed in wx #2
+==============
+
+An example of how to use wxagg in an application with the new
+toolbar - comment out the add_toolbar line for no toolbar.
+"""
+
+import wx
+import wx.lib.mixins.inspection as WIT
+
+import numpy as np
+
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.backends.backend_wxagg import \
+    NavigationToolbar2WxAgg as NavigationToolbar
+from matplotlib.figure import Figure
+
+
+class CanvasFrame(wx.Frame):
+    def __init__(self):
+        super().__init__(None, -1, 'CanvasFrame', size=(550, 350))
+
+        self.figure = Figure()
+        self.axes = self.figure.add_subplot()
+        t = np.arange(0.0, 3.0, 0.01)
+        s = np.sin(2 * np.pi * t)
+
+        self.axes.plot(t, s)
+        self.canvas = FigureCanvas(self, -1, self.figure)
+
+        self.sizer = wx.BoxSizer(wx.VERTICAL)
+        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.EXPAND)
+        self.SetSizer(self.sizer)
+        self.Fit()
+
+        self.add_toolbar()  # comment this out for no toolbar
+
+    def add_toolbar(self):
+        self.toolbar = NavigationToolbar(self.canvas)
+        self.toolbar.Realize()
+        # By adding toolbar in sizer, we are able to put it at the bottom
+        # of the frame - so appearance is closer to GTK version.
+        self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
+        # update the axes menu on the toolbar
+        self.toolbar.update()
+
+
+# Alternatively you could use:
+# class App(wx.App):
+class App(WIT.InspectableApp):
+    def OnInit(self):
+        """Create the main window and insert the custom frame."""
+        self.Init()
+        frame = CanvasFrame()
+        frame.Show(True)
+
+        return True
+
+
+if __name__ == "__main__":
+    app = App()
+    app.MainLoop()
diff --git a/galleries/examples/user_interfaces/embedding_in_wx3_sgskip.py b/galleries/examples/user_interfaces/embedding_in_wx3_sgskip.py
new file mode 100644
index 000000000000..4917180582fe
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_wx3_sgskip.py
@@ -0,0 +1,145 @@
+"""
+==============
+Embed in wx #3
+==============
+
+Copyright (C) 2003-2004 Andrew Straw, Jeremy O'Donoghue and others
+
+License: This work is licensed under the PSF. A copy should be included
+with this source code, and is also available at
+https://docs.python.org/3/license.html
+
+This is yet another example of using matplotlib with wx.  Hopefully
+this is pretty full-featured:
+
+- both matplotlib toolbar and WX buttons manipulate plot
+- full wxApp framework, including widget interaction
+- XRC (XML wxWidgets resource) file to create GUI (made with XRCed)
+
+This was derived from embedding_in_wx and dynamic_image_wxagg.
+
+Thanks to matplotlib and wx teams for creating such great software!
+"""
+
+import wx
+import wx.xrc as xrc
+
+import numpy as np
+
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.backends.backend_wxagg import \
+    NavigationToolbar2WxAgg as NavigationToolbar
+import matplotlib.cbook as cbook
+from matplotlib.figure import Figure
+
+ERR_TOL = 1e-5  # floating point slop for peak-detection
+
+
+class PlotPanel(wx.Panel):
+    def __init__(self, parent):
+        super().__init__(parent, -1)
+
+        self.fig = Figure((5, 4), 75)
+        self.canvas = FigureCanvas(self, -1, self.fig)
+        self.toolbar = NavigationToolbar(self.canvas)  # matplotlib toolbar
+        self.toolbar.Realize()
+
+        # Now put all into a sizer
+        sizer = wx.BoxSizer(wx.VERTICAL)
+        # This way of adding to sizer allows resizing
+        sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
+        # Best to allow the toolbar to resize!
+        sizer.Add(self.toolbar, 0, wx.GROW)
+        self.SetSizer(sizer)
+        self.Fit()
+
+    def init_plot_data(self):
+        ax = self.fig.add_subplot()
+
+        x = np.arange(120.0) * 2 * np.pi / 60.0
+        y = np.arange(100.0) * 2 * np.pi / 50.0
+        self.x, self.y = np.meshgrid(x, y)
+        z = np.sin(self.x) + np.cos(self.y)
+        self.im = ax.imshow(z, cmap="RdBu", origin='lower')
+
+        zmax = np.max(z) - ERR_TOL
+        ymax_i, xmax_i = np.nonzero(z >= zmax)
+        if self.im.origin == 'upper':
+            ymax_i = z.shape[0] - ymax_i
+        self.lines = ax.plot(xmax_i, ymax_i, 'ko')
+
+        self.toolbar.update()  # Not sure why this is needed - ADS
+
+    def GetToolBar(self):
+        # You will need to override GetToolBar if you are using an
+        # unmanaged toolbar in your frame
+        return self.toolbar
+
+    def OnWhiz(self, event):
+        self.x += np.pi / 15
+        self.y += np.pi / 20
+        z = np.sin(self.x) + np.cos(self.y)
+        self.im.set_array(z)
+
+        zmax = np.max(z) - ERR_TOL
+        ymax_i, xmax_i = np.nonzero(z >= zmax)
+        if self.im.origin == 'upper':
+            ymax_i = z.shape[0] - ymax_i
+        self.lines[0].set_data(xmax_i, ymax_i)
+
+        self.canvas.draw()
+
+
+class MyApp(wx.App):
+    def OnInit(self):
+        xrcfile = cbook.get_sample_data('embedding_in_wx3.xrc',
+                                        asfileobj=False)
+        print('loading', xrcfile)
+
+        self.res = xrc.XmlResource(xrcfile)
+
+        # main frame and panel ---------
+
+        self.frame = self.res.LoadFrame(None, "MainFrame")
+        self.panel = xrc.XRCCTRL(self.frame, "MainPanel")
+
+        # matplotlib panel -------------
+
+        # container for matplotlib panel (I like to make a container
+        # panel for our panel so I know where it'll go when in XRCed.)
+        plot_container = xrc.XRCCTRL(self.frame, "plot_container_panel")
+        sizer = wx.BoxSizer(wx.VERTICAL)
+
+        # matplotlib panel itself
+        self.plotpanel = PlotPanel(plot_container)
+        self.plotpanel.init_plot_data()
+
+        # wx boilerplate
+        sizer.Add(self.plotpanel, 1, wx.EXPAND)
+        plot_container.SetSizer(sizer)
+
+        # whiz button ------------------
+        whiz_button = xrc.XRCCTRL(self.frame, "whiz_button")
+        whiz_button.Bind(wx.EVT_BUTTON, self.plotpanel.OnWhiz)
+
+        # bang button ------------------
+        bang_button = xrc.XRCCTRL(self.frame, "bang_button")
+        bang_button.Bind(wx.EVT_BUTTON, self.OnBang)
+
+        # final setup ------------------
+        self.frame.Show()
+
+        self.SetTopWindow(self.frame)
+
+        return True
+
+    def OnBang(self, event):
+        bang_count = xrc.XRCCTRL(self.frame, "bang_count")
+        bangs = bang_count.GetValue()
+        bangs = int(bangs) + 1
+        bang_count.SetValue(str(bangs))
+
+
+if __name__ == '__main__':
+    app = MyApp()
+    app.MainLoop()
diff --git a/galleries/examples/user_interfaces/embedding_in_wx4_sgskip.py b/galleries/examples/user_interfaces/embedding_in_wx4_sgskip.py
new file mode 100644
index 000000000000..062f1219adb5
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_wx4_sgskip.py
@@ -0,0 +1,79 @@
+"""
+==============
+Embed in wx #4
+==============
+
+An example of how to use wxagg in a wx application with a custom toolbar.
+"""
+
+import wx
+
+import numpy as np
+
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.backends.backend_wxagg import \
+    NavigationToolbar2WxAgg as NavigationToolbar
+from matplotlib.figure import Figure
+
+
+class MyNavigationToolbar(NavigationToolbar):
+    """Extend the default wx toolbar with your own event handlers."""
+
+    def __init__(self, canvas):
+        super().__init__(canvas)
+        # We use a stock wx bitmap, but you could also use your own image file.
+        bmp = wx.ArtProvider.GetBitmap(wx.ART_CROSS_MARK, wx.ART_TOOLBAR)
+        tool = self.AddTool(wx.ID_ANY, 'Click me', bmp,
+                            'Activate custom control')
+        self.Bind(wx.EVT_TOOL, self._on_custom, id=tool.GetId())
+
+    def _on_custom(self, event):
+        # add some text to the Axes in a random location in axes coords with a
+        # random color
+        ax = self.canvas.figure.axes[0]
+        x, y = np.random.rand(2)  # generate a random location
+        rgb = np.random.rand(3)  # generate a random color
+        ax.text(x, y, 'You clicked me', transform=ax.transAxes, color=rgb)
+        self.canvas.draw()
+        event.Skip()
+
+
+class CanvasFrame(wx.Frame):
+    def __init__(self):
+        super().__init__(None, -1, 'CanvasFrame', size=(550, 350))
+
+        self.figure = Figure(figsize=(5, 4), dpi=100)
+        self.axes = self.figure.add_subplot()
+        t = np.arange(0.0, 3.0, 0.01)
+        s = np.sin(2 * np.pi * t)
+
+        self.axes.plot(t, s)
+
+        self.canvas = FigureCanvas(self, -1, self.figure)
+
+        self.sizer = wx.BoxSizer(wx.VERTICAL)
+        self.sizer.Add(self.canvas, 1, wx.TOP | wx.LEFT | wx.EXPAND)
+
+        self.toolbar = MyNavigationToolbar(self.canvas)
+        self.toolbar.Realize()
+        # By adding toolbar in sizer, we are able to put it at the bottom
+        # of the frame - so appearance is closer to GTK version.
+        self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
+
+        # update the axes menu on the toolbar
+        self.toolbar.update()
+        self.SetSizer(self.sizer)
+        self.Fit()
+
+
+class App(wx.App):
+    def OnInit(self):
+        """Create the main window and insert the custom frame."""
+        frame = CanvasFrame()
+        frame.Show(True)
+        return True
+
+
+if __name__ == "__main__":
+    app = App()
+    app.MainLoop()
diff --git a/galleries/examples/user_interfaces/embedding_in_wx5_sgskip.py b/galleries/examples/user_interfaces/embedding_in_wx5_sgskip.py
new file mode 100644
index 000000000000..f150e2106ead
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_in_wx5_sgskip.py
@@ -0,0 +1,62 @@
+"""
+==============
+Embed in wx #5
+==============
+
+"""
+
+import wx
+import wx.lib.agw.aui as aui
+import wx.lib.mixins.inspection as wit
+
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.backends.backend_wxagg import \
+    NavigationToolbar2WxAgg as NavigationToolbar
+from matplotlib.figure import Figure
+
+
+class Plot(wx.Panel):
+    def __init__(self, parent, id=-1, dpi=None, **kwargs):
+        super().__init__(parent, id=id, **kwargs)
+        self.figure = Figure(dpi=dpi, figsize=(2, 2))
+        self.canvas = FigureCanvas(self, -1, self.figure)
+        self.toolbar = NavigationToolbar(self.canvas)
+        self.toolbar.Realize()
+
+        sizer = wx.BoxSizer(wx.VERTICAL)
+        sizer.Add(self.canvas, 1, wx.EXPAND)
+        sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
+        self.SetSizer(sizer)
+
+
+class PlotNotebook(wx.Panel):
+    def __init__(self, parent, id=-1):
+        super().__init__(parent, id=id)
+        self.nb = aui.AuiNotebook(self)
+        sizer = wx.BoxSizer()
+        sizer.Add(self.nb, 1, wx.EXPAND)
+        self.SetSizer(sizer)
+
+    def add(self, name="plot"):
+        page = Plot(self.nb)
+        self.nb.AddPage(page, name)
+        return page.figure
+
+
+def demo():
+    # Alternatively you could use:
+    # app = wx.App()
+    # InspectableApp is a great debug tool, see:
+    # http://wiki.wxpython.org/Widget%20Inspection%20Tool
+    app = wit.InspectableApp()
+    frame = wx.Frame(None, -1, 'Plotter')
+    plotter = PlotNotebook(frame)
+    axes1 = plotter.add('figure 1').add_subplot()
+    axes1.plot([1, 2, 3], [2, 1, 4])
+    axes2 = plotter.add('figure 2').add_subplot()
+    axes2.plot([1, 2, 3, 4, 5], [2, 1, 4, 2, 3])
+    frame.Show()
+    app.MainLoop()
+
+if __name__ == "__main__":
+    demo()
diff --git a/galleries/examples/user_interfaces/embedding_webagg_sgskip.py b/galleries/examples/user_interfaces/embedding_webagg_sgskip.py
new file mode 100644
index 000000000000..cdeb6419a18e
--- /dev/null
+++ b/galleries/examples/user_interfaces/embedding_webagg_sgskip.py
@@ -0,0 +1,274 @@
+"""
+================
+Embedding WebAgg
+================
+
+This example demonstrates how to embed Matplotlib WebAgg interactive plotting
+in your own web application and framework.  It is not necessary to do all this
+if you merely want to display a plot in a browser or use Matplotlib's built-in
+Tornado-based server "on the side".
+
+The framework being used must support web sockets.
+"""
+
+import argparse
+import io
+import json
+import mimetypes
+from pathlib import Path
+import signal
+import socket
+
+try:
+    import tornado
+except ImportError as err:
+    raise RuntimeError("This example requires tornado.") from err
+import tornado.httpserver
+import tornado.ioloop
+import tornado.web
+import tornado.websocket
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib.backends.backend_webagg import (
+    FigureManagerWebAgg, new_figure_manager_given_figure)
+from matplotlib.figure import Figure
+
+
+def create_figure():
+    """
+    Creates a simple example figure.
+    """
+    fig = Figure()
+    ax = fig.add_subplot()
+    t = np.arange(0.0, 3.0, 0.01)
+    s = np.sin(2 * np.pi * t)
+    ax.plot(t, s)
+    return fig
+
+
+# The following is the content of the web page.  You would normally
+# generate this using some sort of template facility in your web
+# framework, but here we just use Python string formatting.
+html_content = """<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <!-- TODO: There should be a way to include all of the required javascript
+               and CSS so matplotlib can add to the set in the future if it
+               needs to. -->
+    <link rel="stylesheet" href="_static/css/page.css" type="text/css">
+    <link rel="stylesheet" href="_static/css/boilerplate.css" type="text/css">
+    <link rel="stylesheet" href="_static/css/fbm.css" type="text/css">
+    <link rel="stylesheet" href="_static/css/mpl.css" type="text/css">
+    <script src="mpl.js"></script>
+
+    <script>
+      /* This is a callback that is called when the user saves
+         (downloads) a file.  Its purpose is really to map from a
+         figure and file format to a url in the application. */
+      function ondownload(figure, format) {
+        window.open('download.' + format, '_blank');
+      };
+
+      function ready(fn) {
+        if (document.readyState != "loading") {
+          fn();
+        } else {
+          document.addEventListener("DOMContentLoaded", fn);
+        }
+      }
+
+      ready(
+        function() {
+          /* It is up to the application to provide a websocket that the figure
+             will use to communicate to the server.  This websocket object can
+             also be a "fake" websocket that underneath multiplexes messages
+             from multiple figures, if necessary. */
+          var websocket_type = mpl.get_websocket_type();
+          var websocket = new websocket_type("%(ws_uri)sws");
+
+          // mpl.figure creates a new figure on the webpage.
+          var fig = new mpl.figure(
+              // A unique numeric identifier for the figure
+              %(fig_id)s,
+              // A websocket object (or something that behaves like one)
+              websocket,
+              // A function called when a file type is selected for download
+              ondownload,
+              // The HTML element in which to place the figure
+              document.getElementById("figure"));
+        }
+      );
+    </script>
+
+    <title>matplotlib</title>
+  </head>
+
+  <body>
+    <div id="figure">
+    </div>
+  </body>
+</html>
+"""
+
+
+class MyApplication(tornado.web.Application):
+    class MainPage(tornado.web.RequestHandler):
+        """
+        Serves the main HTML page.
+        """
+
+        def get(self):
+            manager = self.application.manager
+            ws_uri = f"ws://{self.request.host}/"
+            content = html_content % {
+                "ws_uri": ws_uri, "fig_id": manager.num}
+            self.write(content)
+
+    class MplJs(tornado.web.RequestHandler):
+        """
+        Serves the generated matplotlib javascript file.  The content
+        is dynamically generated based on which toolbar functions the
+        user has defined.  Call `FigureManagerWebAgg` to get its
+        content.
+        """
+
+        def get(self):
+            self.set_header('Content-Type', 'application/javascript')
+            js_content = FigureManagerWebAgg.get_javascript()
+
+            self.write(js_content)
+
+    class Download(tornado.web.RequestHandler):
+        """
+        Handles downloading of the figure in various file formats.
+        """
+
+        def get(self, fmt):
+            manager = self.application.manager
+            self.set_header(
+                'Content-Type', mimetypes.types_map.get(fmt, 'binary'))
+            buff = io.BytesIO()
+            manager.canvas.figure.savefig(buff, format=fmt)
+            self.write(buff.getvalue())
+
+    class WebSocket(tornado.websocket.WebSocketHandler):
+        """
+        A websocket for interactive communication between the plot in
+        the browser and the server.
+
+        In addition to the methods required by tornado, it is required to
+        have two callback methods:
+
+            - ``send_json(json_content)`` is called by matplotlib when
+              it needs to send json to the browser.  `json_content` is
+              a JSON tree (Python dictionary), and it is the responsibility
+              of this implementation to encode it as a string to send over
+              the socket.
+
+            - ``send_binary(blob)`` is called to send binary image data
+              to the browser.
+        """
+        supports_binary = True
+
+        def open(self):
+            # Register the websocket with the FigureManager.
+            manager = self.application.manager
+            manager.add_web_socket(self)
+            if hasattr(self, 'set_nodelay'):
+                self.set_nodelay(True)
+
+        def on_close(self):
+            # When the socket is closed, deregister the websocket with
+            # the FigureManager.
+            manager = self.application.manager
+            manager.remove_web_socket(self)
+
+        def on_message(self, message):
+            # The 'supports_binary' message is relevant to the
+            # websocket itself.  The other messages get passed along
+            # to matplotlib as-is.
+
+            # Every message has a "type" and a "figure_id".
+            message = json.loads(message)
+            if message['type'] == 'supports_binary':
+                self.supports_binary = message['value']
+            else:
+                manager = self.application.manager
+                manager.handle_json(message)
+
+        def send_json(self, content):
+            self.write_message(json.dumps(content))
+
+        def send_binary(self, blob):
+            if self.supports_binary:
+                self.write_message(blob, binary=True)
+            else:
+                data_uri = ("data:image/png;base64," +
+                            blob.encode('base64').replace('\n', ''))
+                self.write_message(data_uri)
+
+    def __init__(self, figure):
+        self.figure = figure
+        self.manager = new_figure_manager_given_figure(id(figure), figure)
+
+        super().__init__([
+            # Static files for the CSS and JS
+            (r'/_static/(.*)',
+             tornado.web.StaticFileHandler,
+             {'path': FigureManagerWebAgg.get_static_file_path()}),
+
+            # Static images for the toolbar
+            (r'/_images/(.*)',
+             tornado.web.StaticFileHandler,
+             {'path': Path(mpl.get_data_path(), 'images')}),
+
+            # The page that contains all of the pieces
+            ('/', self.MainPage),
+
+            ('/mpl.js', self.MplJs),
+
+            # Sends images and events to the browser, and receives
+            # events from the browser
+            ('/ws', self.WebSocket),
+
+            # Handles the downloading (i.e., saving) of static images
+            (r'/download.([a-z0-9.]+)', self.Download),
+        ])
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('-p', '--port', type=int, default=8080,
+                        help='Port to listen on (0 for a random port).')
+    args = parser.parse_args()
+
+    figure = create_figure()
+    application = MyApplication(figure)
+
+    http_server = tornado.httpserver.HTTPServer(application)
+    sockets = tornado.netutil.bind_sockets(args.port, '')
+    http_server.add_sockets(sockets)
+
+    for s in sockets:
+        addr, port = s.getsockname()[:2]
+        if s.family is socket.AF_INET6:
+            addr = f'[{addr}]'
+        print(f"Listening on http://{addr}:{port}/")
+    print("Press Ctrl+C to quit")
+
+    ioloop = tornado.ioloop.IOLoop.instance()
+
+    def shutdown():
+        ioloop.stop()
+        print("Server stopped")
+
+    old_handler = signal.signal(
+        signal.SIGINT,
+        lambda sig, frame: ioloop.add_callback_from_signal(shutdown))
+
+    try:
+        ioloop.start()
+    finally:
+        signal.signal(signal.SIGINT, old_handler)
diff --git a/galleries/examples/user_interfaces/fourier_demo_wx_sgskip.py b/galleries/examples/user_interfaces/fourier_demo_wx_sgskip.py
new file mode 100644
index 000000000000..f51917fda6b9
--- /dev/null
+++ b/galleries/examples/user_interfaces/fourier_demo_wx_sgskip.py
@@ -0,0 +1,238 @@
+"""
+===============
+Fourier Demo WX
+===============
+
+"""
+
+import wx
+
+import numpy as np
+
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.figure import Figure
+
+
+class Knob:
+    """
+    Knob - simple class with a "setKnob" method.
+    A Knob instance is attached to a Param instance, e.g., param.attach(knob)
+    Base class is for documentation purposes.
+    """
+
+    def setKnob(self, value):
+        pass
+
+
+class Param:
+    """
+    The idea of the "Param" class is that some parameter in the GUI may have
+    several knobs that both control it and reflect the parameter's state, e.g.
+    a slider, text, and dragging can all change the value of the frequency in
+    the waveform of this example.
+    The class allows a cleaner way to update/"feedback" to the other knobs when
+    one is being changed.  Also, this class handles min/max constraints for all
+    the knobs.
+    Idea - knob list - in "set" method, knob object is passed as well
+      - the other knobs in the knob list have a "set" method which gets
+        called for the others.
+    """
+
+    def __init__(self, initialValue=None, minimum=0., maximum=1.):
+        self.minimum = minimum
+        self.maximum = maximum
+        if initialValue != self.constrain(initialValue):
+            raise ValueError('illegal initial value')
+        self.value = initialValue
+        self.knobs = []
+
+    def attach(self, knob):
+        self.knobs += [knob]
+
+    def set(self, value, knob=None):
+        self.value = value
+        self.value = self.constrain(value)
+        for feedbackKnob in self.knobs:
+            if feedbackKnob != knob:
+                feedbackKnob.setKnob(self.value)
+        return self.value
+
+    def constrain(self, value):
+        if value <= self.minimum:
+            value = self.minimum
+        if value >= self.maximum:
+            value = self.maximum
+        return value
+
+
+class SliderGroup(Knob):
+    def __init__(self, parent, label, param):
+        self.sliderLabel = wx.StaticText(parent, label=label)
+        self.sliderText = wx.TextCtrl(parent, -1, style=wx.TE_PROCESS_ENTER)
+        self.slider = wx.Slider(parent, -1)
+        # self.slider.SetMax(param.maximum*1000)
+        self.slider.SetRange(0, int(param.maximum * 1000))
+        self.setKnob(param.value)
+
+        sizer = wx.BoxSizer(wx.HORIZONTAL)
+        sizer.Add(self.sliderLabel, 0,
+                  wx.EXPAND | wx.ALL,
+                  border=2)
+        sizer.Add(self.sliderText, 0,
+                  wx.EXPAND | wx.ALL,
+                  border=2)
+        sizer.Add(self.slider, 1, wx.EXPAND)
+        self.sizer = sizer
+
+        self.slider.Bind(wx.EVT_SLIDER, self.sliderHandler)
+        self.sliderText.Bind(wx.EVT_TEXT_ENTER, self.sliderTextHandler)
+
+        self.param = param
+        self.param.attach(self)
+
+    def sliderHandler(self, event):
+        value = event.GetInt() / 1000.
+        self.param.set(value)
+
+    def sliderTextHandler(self, event):
+        value = float(self.sliderText.GetValue())
+        self.param.set(value)
+
+    def setKnob(self, value):
+        self.sliderText.SetValue(f'{value:g}')
+        self.slider.SetValue(int(value * 1000))
+
+
+class FourierDemoFrame(wx.Frame):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        panel = wx.Panel(self)
+
+        # create the GUI elements
+        self.createCanvas(panel)
+        self.createSliders(panel)
+
+        # place them in a sizer for the Layout
+        sizer = wx.BoxSizer(wx.VERTICAL)
+        sizer.Add(self.canvas, 1, wx.EXPAND)
+        sizer.Add(self.frequencySliderGroup.sizer, 0,
+                  wx.EXPAND | wx.ALL, border=5)
+        sizer.Add(self.amplitudeSliderGroup.sizer, 0,
+                  wx.EXPAND | wx.ALL, border=5)
+        panel.SetSizer(sizer)
+
+    def createCanvas(self, parent):
+        self.lines = []
+        self.figure = Figure()
+        self.canvas = FigureCanvas(parent, -1, self.figure)
+        self.canvas.callbacks.connect('button_press_event', self.mouseDown)
+        self.canvas.callbacks.connect('motion_notify_event', self.mouseMotion)
+        self.canvas.callbacks.connect('button_release_event', self.mouseUp)
+        self.state = ''
+        self.mouseInfo = (None, None, None, None)
+        self.f0 = Param(2., minimum=0., maximum=6.)
+        self.A = Param(1., minimum=0.01, maximum=2.)
+        self.createPlots()
+
+        # Not sure I like having two params attached to the same Knob,
+        # but that is what we have here... it works but feels kludgy -
+        # although maybe it's not too bad since the knob changes both params
+        # at the same time (both f0 and A are affected during a drag)
+        self.f0.attach(self)
+        self.A.attach(self)
+
+    def createSliders(self, panel):
+        self.frequencySliderGroup = SliderGroup(
+            panel,
+            label='Frequency f0:',
+            param=self.f0)
+        self.amplitudeSliderGroup = SliderGroup(panel, label=' Amplitude a:',
+                                                param=self.A)
+
+    def mouseDown(self, event):
+        if self.lines[0].contains(event)[0]:
+            self.state = 'frequency'
+        elif self.lines[1].contains(event)[0]:
+            self.state = 'time'
+        else:
+            self.state = ''
+        self.mouseInfo = (event.xdata, event.ydata,
+                          max(self.f0.value, .1),
+                          self.A.value)
+
+    def mouseMotion(self, event):
+        if self.state == '':
+            return
+        x, y = event.xdata, event.ydata
+        if x is None:  # outside the Axes
+            return
+        x0, y0, f0Init, AInit = self.mouseInfo
+        self.A.set(AInit + (AInit * (y - y0) / y0), self)
+        if self.state == 'frequency':
+            self.f0.set(f0Init + (f0Init * (x - x0) / x0))
+        elif self.state == 'time':
+            if (x - x0) / x0 != -1.:
+                self.f0.set(1. / (1. / f0Init + (1. / f0Init * (x - x0) / x0)))
+
+    def mouseUp(self, event):
+        self.state = ''
+
+    def createPlots(self):
+        # This method creates the subplots, waveforms and labels.
+        # Later, when the waveforms or sliders are dragged, only the
+        # waveform data will be updated (not here, but below in setKnob).
+        self.subplot1, self.subplot2 = self.figure.subplots(2)
+        x1, y1, x2, y2 = self.compute(self.f0.value, self.A.value)
+        color = (1., 0., 0.)
+        self.lines += self.subplot1.plot(x1, y1, color=color, linewidth=2)
+        self.lines += self.subplot2.plot(x2, y2, color=color, linewidth=2)
+        # Set some plot attributes
+        self.subplot1.set_title(
+            "Click and drag waveforms to change frequency and amplitude",
+            fontsize=12)
+        self.subplot1.set_ylabel("Frequency Domain Waveform X(f)", fontsize=8)
+        self.subplot1.set_xlabel("frequency f", fontsize=8)
+        self.subplot2.set_ylabel("Time Domain Waveform x(t)", fontsize=8)
+        self.subplot2.set_xlabel("time t", fontsize=8)
+        self.subplot1.set_xlim([-6, 6])
+        self.subplot1.set_ylim([0, 1])
+        self.subplot2.set_xlim([-2, 2])
+        self.subplot2.set_ylim([-2, 2])
+        self.subplot1.text(0.05, .95,
+                           r'$X(f) = \mathcal{F}\{x(t)\}$',
+                           verticalalignment='top',
+                           transform=self.subplot1.transAxes)
+        self.subplot2.text(0.05, .95,
+                           r'$x(t) = a \cdot \cos(2\pi f_0 t) e^{-\pi t^2}$',
+                           verticalalignment='top',
+                           transform=self.subplot2.transAxes)
+
+    def compute(self, f0, A):
+        f = np.arange(-6., 6., 0.02)
+        t = np.arange(-2., 2., 0.01)
+        x = A * np.cos(2 * np.pi * f0 * t) * np.exp(-np.pi * t ** 2)
+        X = A / 2 * \
+            (np.exp(-np.pi * (f - f0) ** 2) + np.exp(-np.pi * (f + f0) ** 2))
+        return f, X, t, x
+
+    def setKnob(self, value):
+        # Note, we ignore value arg here and just go by state of the params
+        x1, y1, x2, y2 = self.compute(self.f0.value, self.A.value)
+        # update the data of the two waveforms
+        self.lines[0].set(xdata=x1, ydata=y1)
+        self.lines[1].set(xdata=x2, ydata=y2)
+        # make the canvas draw its contents again with the new data
+        self.canvas.draw()
+
+
+class App(wx.App):
+    def OnInit(self):
+        self.frame1 = FourierDemoFrame(parent=None, title="Fourier Demo",
+                                       size=(640, 480))
+        self.frame1.Show()
+        return True
+
+
+if __name__ == "__main__":
+    app = App()
+    app.MainLoop()
diff --git a/galleries/examples/user_interfaces/gtk3_spreadsheet_sgskip.py b/galleries/examples/user_interfaces/gtk3_spreadsheet_sgskip.py
new file mode 100644
index 000000000000..bd95deaabba3
--- /dev/null
+++ b/galleries/examples/user_interfaces/gtk3_spreadsheet_sgskip.py
@@ -0,0 +1,89 @@
+"""
+================
+GTK3 spreadsheet
+================
+
+Example of embedding Matplotlib in an application and interacting with a
+treeview to store data.  Double-click on an entry to update plot data.
+"""
+
+import gi
+
+gi.require_version('Gtk', '3.0')
+gi.require_version('Gdk', '3.0')
+from gi.repository import Gdk, Gtk
+
+from numpy.random import random
+
+from matplotlib.backends.backend_gtk3agg import FigureCanvas  # or gtk3cairo.
+from matplotlib.figure import Figure
+
+
+class DataManager(Gtk.Window):
+    num_rows, num_cols = 20, 10
+
+    data = random((num_rows, num_cols))
+
+    def __init__(self):
+        super().__init__()
+        self.set_default_size(600, 600)
+        self.connect('destroy', lambda win: Gtk.main_quit())
+
+        self.set_title('GtkListStore demo')
+        self.set_border_width(8)
+
+        vbox = Gtk.VBox(homogeneous=False, spacing=8)
+        self.add(vbox)
+
+        label = Gtk.Label(label='Double click a row to plot the data')
+
+        vbox.pack_start(label, False, False, 0)
+
+        sw = Gtk.ScrolledWindow()
+        sw.set_shadow_type(Gtk.ShadowType.ETCHED_IN)
+        sw.set_policy(Gtk.PolicyType.NEVER, Gtk.PolicyType.AUTOMATIC)
+        vbox.pack_start(sw, True, True, 0)
+
+        model = self.create_model()
+
+        self.treeview = Gtk.TreeView(model=model)
+
+        # Matplotlib stuff
+        fig = Figure(figsize=(6, 4))
+
+        self.canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+        vbox.pack_start(self.canvas, True, True, 0)
+        ax = fig.add_subplot()
+        self.line, = ax.plot(self.data[0, :], 'go')  # plot the first row
+
+        self.treeview.connect('row-activated', self.plot_row)
+        sw.add(self.treeview)
+
+        self.add_columns()
+
+        self.add_events(Gdk.EventMask.BUTTON_PRESS_MASK |
+                        Gdk.EventMask.KEY_PRESS_MASK |
+                        Gdk.EventMask.KEY_RELEASE_MASK)
+
+    def plot_row(self, treeview, path, view_column):
+        ind, = path  # get the index into data
+        points = self.data[ind, :]
+        self.line.set_ydata(points)
+        self.canvas.draw()
+
+    def add_columns(self):
+        for i in range(self.num_cols):
+            column = Gtk.TreeViewColumn(str(i), Gtk.CellRendererText(), text=i)
+            self.treeview.append_column(column)
+
+    def create_model(self):
+        types = [float] * self.num_cols
+        store = Gtk.ListStore(*types)
+        for row in self.data:
+            store.append(tuple(row))
+        return store
+
+
+manager = DataManager()
+manager.show_all()
+Gtk.main()
diff --git a/galleries/examples/user_interfaces/gtk4_spreadsheet_sgskip.py b/galleries/examples/user_interfaces/gtk4_spreadsheet_sgskip.py
new file mode 100644
index 000000000000..bfd7f0274883
--- /dev/null
+++ b/galleries/examples/user_interfaces/gtk4_spreadsheet_sgskip.py
@@ -0,0 +1,92 @@
+"""
+================
+GTK4 spreadsheet
+================
+
+Example of embedding Matplotlib in an application and interacting with a
+treeview to store data.  Double-click on an entry to update plot data.
+"""
+
+import gi
+
+gi.require_version('Gtk', '4.0')
+gi.require_version('Gdk', '4.0')
+from gi.repository import Gtk
+
+from numpy.random import random
+
+from matplotlib.backends.backend_gtk4agg import FigureCanvas  # or gtk4cairo.
+from matplotlib.figure import Figure
+
+
+class DataManager(Gtk.ApplicationWindow):
+    num_rows, num_cols = 20, 10
+
+    data = random((num_rows, num_cols))
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.set_default_size(600, 600)
+
+        self.set_title('GtkListStore demo')
+
+        vbox = Gtk.Box(orientation=Gtk.Orientation.VERTICAL, homogeneous=False,
+                       spacing=8)
+        self.set_child(vbox)
+
+        label = Gtk.Label(label='Double click a row to plot the data')
+        vbox.append(label)
+
+        sw = Gtk.ScrolledWindow()
+        sw.set_has_frame(True)
+        sw.set_policy(Gtk.PolicyType.NEVER, Gtk.PolicyType.AUTOMATIC)
+        sw.set_hexpand(True)
+        sw.set_vexpand(True)
+        vbox.append(sw)
+
+        model = self.create_model()
+        self.treeview = Gtk.TreeView(model=model)
+        self.treeview.connect('row-activated', self.plot_row)
+        sw.set_child(self.treeview)
+
+        # Matplotlib stuff
+        fig = Figure(figsize=(6, 4), layout='constrained')
+
+        self.canvas = FigureCanvas(fig)  # a Gtk.DrawingArea
+        self.canvas.set_hexpand(True)
+        self.canvas.set_vexpand(True)
+        vbox.append(self.canvas)
+        ax = fig.add_subplot()
+        self.line, = ax.plot(self.data[0, :], 'go')  # plot the first row
+
+        self.add_columns()
+
+    def plot_row(self, treeview, path, view_column):
+        ind, = path  # get the index into data
+        points = self.data[ind, :]
+        self.line.set_ydata(points)
+        self.canvas.draw()
+
+    def add_columns(self):
+        for i in range(self.num_cols):
+            column = Gtk.TreeViewColumn(str(i), Gtk.CellRendererText(), text=i)
+            self.treeview.append_column(column)
+
+    def create_model(self):
+        types = [float] * self.num_cols
+        store = Gtk.ListStore(*types)
+        for row in self.data:
+            # Gtk.ListStore.append is broken in PyGObject, so insert manually.
+            it = store.insert(-1)
+            store.set(it, {i: val for i, val in enumerate(row)})
+        return store
+
+
+def on_activate(app):
+    manager = DataManager(application=app)
+    manager.show()
+
+
+app = Gtk.Application(application_id='org.matplotlib.examples.GTK4Spreadsheet')
+app.connect('activate', on_activate)
+app.run()
diff --git a/galleries/examples/user_interfaces/images/eye-symbolic.svg b/galleries/examples/user_interfaces/images/eye-symbolic.svg
new file mode 100644
index 000000000000..20d5db230405
--- /dev/null
+++ b/galleries/examples/user_interfaces/images/eye-symbolic.svg
@@ -0,0 +1,70 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+  "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="72pt" height="72pt" viewBox="0 0 72 72" xmlns="http://www.w3.org/2000/svg" version="1.1">
+ <metadata>
+  <rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
+   <cc:Work>
+    <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
+    <dc:date>2021-07-14T19:48:07.525592</dc:date>
+    <dc:format>image/svg+xml</dc:format>
+    <dc:creator>
+     <cc:Agent>
+      <dc:title>Matplotlib v3.4.2.post1357+gf1afce77c6.d20210714, https://matplotlib.org/</dc:title>
+     </cc:Agent>
+    </dc:creator>
+   </cc:Work>
+  </rdf:RDF>
+ </metadata>
+ <defs>
+  <style type="text/css">*{stroke-linejoin: round; stroke-linecap: butt}</style>
+ </defs>
+ <g id="figure_1">
+  <g id="patch_1">
+   <path d="M 0 72 
+L 72 72 
+L 72 0 
+L 0 0 
+L 0 72 
+z
+" style="fill: none; opacity: 0"/>
+  </g>
+  <g id="text_1">
+   <!-- � -->
+   <g transform="translate(2 66.584375)scale(0.68 -0.68)">
+    <defs>
+     <path id="FontAwesome-f06e" d="M 5943 2057 
+C 5332 1114 4346 457 3200 457 
+C 2054 457 1068 1114 457 2057 
+C 796 2582 1261 3032 1818 3318 
+C 1675 3075 1600 2796 1600 2514 
+C 1600 1632 2318 914 3200 914 
+C 4082 914 4800 1632 4800 2514 
+C 4800 2796 4725 3075 4582 3318 
+C 5139 3032 5604 2582 5943 2057 
+z
+M 3371 3429 
+C 3371 3336 3293 3257 3200 3257 
+C 2793 3257 2457 2921 2457 2514 
+C 2457 2421 2379 2343 2286 2343 
+C 2193 2343 2114 2421 2114 2514 
+C 2114 3111 2604 3600 3200 3600 
+C 3293 3600 3371 3521 3371 3429 
+z
+M 6400 2057 
+C 6400 2146 6371 2229 6329 2304 
+C 5671 3382 4468 4114 3200 4114 
+C 1932 4114 729 3382 71 2304 
+C 29 2229 0 2146 0 2057 
+C 0 1968 29 1886 71 1811 
+C 729 732 1932 0 3200 0 
+C 4468 0 5671 729 6329 1811 
+C 6371 1886 6400 1968 6400 2057 
+z
+" transform="scale(0.015625)"/>
+    </defs>
+    <use xlink:href="#FontAwesome-f06e"/>
+   </g>
+  </g>
+ </g>
+</svg>
diff --git a/galleries/examples/user_interfaces/images/eye.pdf b/galleries/examples/user_interfaces/images/eye.pdf
new file mode 100644
index 000000000000..52f18e8342f8
Binary files /dev/null and b/galleries/examples/user_interfaces/images/eye.pdf differ
diff --git a/galleries/examples/user_interfaces/images/eye.png b/galleries/examples/user_interfaces/images/eye.png
new file mode 100644
index 000000000000..365f6fbcde5d
Binary files /dev/null and b/galleries/examples/user_interfaces/images/eye.png differ
diff --git a/galleries/examples/user_interfaces/images/eye.svg b/galleries/examples/user_interfaces/images/eye.svg
new file mode 100644
index 000000000000..20d5db230405
--- /dev/null
+++ b/galleries/examples/user_interfaces/images/eye.svg
@@ -0,0 +1,70 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+  "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="72pt" height="72pt" viewBox="0 0 72 72" xmlns="http://www.w3.org/2000/svg" version="1.1">
+ <metadata>
+  <rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
+   <cc:Work>
+    <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
+    <dc:date>2021-07-14T19:48:07.525592</dc:date>
+    <dc:format>image/svg+xml</dc:format>
+    <dc:creator>
+     <cc:Agent>
+      <dc:title>Matplotlib v3.4.2.post1357+gf1afce77c6.d20210714, https://matplotlib.org/</dc:title>
+     </cc:Agent>
+    </dc:creator>
+   </cc:Work>
+  </rdf:RDF>
+ </metadata>
+ <defs>
+  <style type="text/css">*{stroke-linejoin: round; stroke-linecap: butt}</style>
+ </defs>
+ <g id="figure_1">
+  <g id="patch_1">
+   <path d="M 0 72 
+L 72 72 
+L 72 0 
+L 0 0 
+L 0 72 
+z
+" style="fill: none; opacity: 0"/>
+  </g>
+  <g id="text_1">
+   <!-- � -->
+   <g transform="translate(2 66.584375)scale(0.68 -0.68)">
+    <defs>
+     <path id="FontAwesome-f06e" d="M 5943 2057 
+C 5332 1114 4346 457 3200 457 
+C 2054 457 1068 1114 457 2057 
+C 796 2582 1261 3032 1818 3318 
+C 1675 3075 1600 2796 1600 2514 
+C 1600 1632 2318 914 3200 914 
+C 4082 914 4800 1632 4800 2514 
+C 4800 2796 4725 3075 4582 3318 
+C 5139 3032 5604 2582 5943 2057 
+z
+M 3371 3429 
+C 3371 3336 3293 3257 3200 3257 
+C 2793 3257 2457 2921 2457 2514 
+C 2457 2421 2379 2343 2286 2343 
+C 2193 2343 2114 2421 2114 2514 
+C 2114 3111 2604 3600 3200 3600 
+C 3293 3600 3371 3521 3371 3429 
+z
+M 6400 2057 
+C 6400 2146 6371 2229 6329 2304 
+C 5671 3382 4468 4114 3200 4114 
+C 1932 4114 729 3382 71 2304 
+C 29 2229 0 2146 0 2057 
+C 0 1968 29 1886 71 1811 
+C 729 732 1932 0 3200 0 
+C 4468 0 5671 729 6329 1811 
+C 6371 1886 6400 1968 6400 2057 
+z
+" transform="scale(0.015625)"/>
+    </defs>
+    <use xlink:href="#FontAwesome-f06e"/>
+   </g>
+  </g>
+ </g>
+</svg>
diff --git a/galleries/examples/user_interfaces/images/eye_large.png b/galleries/examples/user_interfaces/images/eye_large.png
new file mode 100644
index 000000000000..f8a2911032a4
Binary files /dev/null and b/galleries/examples/user_interfaces/images/eye_large.png differ
diff --git a/galleries/examples/user_interfaces/mathtext_wx_sgskip.py b/galleries/examples/user_interfaces/mathtext_wx_sgskip.py
new file mode 100644
index 000000000000..5d3c5c6bc46d
--- /dev/null
+++ b/galleries/examples/user_interfaces/mathtext_wx_sgskip.py
@@ -0,0 +1,133 @@
+"""
+======================
+Display mathtext in WX
+======================
+
+Demonstrates how to convert (math)text to a wx.Bitmap for display in various
+controls on wxPython.
+"""
+
+from io import BytesIO
+
+import wx
+
+import numpy as np
+
+from matplotlib.backends.backend_wx import NavigationToolbar2Wx
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.figure import Figure
+
+IS_WIN = 'wxMSW' in wx.PlatformInfo
+
+
+def mathtext_to_wxbitmap(s):
+    # We draw the text at position (0, 0) but then rely on
+    # ``facecolor="none"`` and ``bbox_inches="tight", pad_inches=0`` to get a
+    # transparent mask that is then loaded into a wx.Bitmap.
+    fig = Figure(facecolor="none")
+    text_color = (
+        np.array(wx.SystemSettings.GetColour(wx.SYS_COLOUR_WINDOWTEXT)) / 255)
+    fig.text(0, 0, s, fontsize=10, color=text_color)
+    buf = BytesIO()
+    fig.savefig(buf, format="png", dpi=150, bbox_inches="tight", pad_inches=0)
+    s = buf.getvalue()
+    return wx.Bitmap.NewFromPNGData(s, len(s))
+
+
+functions = [
+    (r'$\sin(2 \pi x)$', lambda x: np.sin(2*np.pi*x)),
+    (r'$\frac{4}{3}\pi x^3$', lambda x: (4/3)*np.pi*x**3),
+    (r'$\cos(2 \pi x)$', lambda x: np.cos(2*np.pi*x)),
+    (r'$\log(x)$', lambda x: np.log(x))
+]
+
+
+class CanvasFrame(wx.Frame):
+    def __init__(self, parent, title):
+        super().__init__(parent, -1, title, size=(550, 350))
+
+        self.figure = Figure()
+        self.axes = self.figure.add_subplot()
+
+        self.canvas = FigureCanvas(self, -1, self.figure)
+
+        self.change_plot(0)
+
+        self.sizer = wx.BoxSizer(wx.VERTICAL)
+        self.add_buttonbar()
+        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
+        self.add_toolbar()  # comment this out for no toolbar
+
+        menuBar = wx.MenuBar()
+
+        # File Menu
+        menu = wx.Menu()
+        m_exit = menu.Append(
+            wx.ID_EXIT, "E&xit\tAlt-X", "Exit this simple sample")
+        menuBar.Append(menu, "&File")
+        self.Bind(wx.EVT_MENU, self.OnClose, m_exit)
+
+        if IS_WIN:
+            # Equation Menu
+            menu = wx.Menu()
+            for i, (mt, func) in enumerate(functions):
+                bm = mathtext_to_wxbitmap(mt)
+                item = wx.MenuItem(menu, 1000 + i, " ")
+                item.SetBitmap(bm)
+                menu.Append(item)
+                self.Bind(wx.EVT_MENU, self.OnChangePlot, item)
+            menuBar.Append(menu, "&Functions")
+
+        self.SetMenuBar(menuBar)
+
+        self.SetSizer(self.sizer)
+        self.Fit()
+
+    def add_buttonbar(self):
+        self.button_bar = wx.Panel(self)
+        self.button_bar_sizer = wx.BoxSizer(wx.HORIZONTAL)
+        self.sizer.Add(self.button_bar, 0, wx.LEFT | wx.TOP | wx.GROW)
+
+        for i, (mt, func) in enumerate(functions):
+            bm = mathtext_to_wxbitmap(mt)
+            button = wx.BitmapButton(self.button_bar, 1000 + i, bm)
+            self.button_bar_sizer.Add(button, 1, wx.GROW)
+            self.Bind(wx.EVT_BUTTON, self.OnChangePlot, button)
+
+        self.button_bar.SetSizer(self.button_bar_sizer)
+
+    def add_toolbar(self):
+        """Copied verbatim from embedding_wx2.py"""
+        self.toolbar = NavigationToolbar2Wx(self.canvas)
+        self.toolbar.Realize()
+        # By adding toolbar in sizer, we are able to put it at the bottom
+        # of the frame - so appearance is closer to GTK version.
+        self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
+        # update the axes menu on the toolbar
+        self.toolbar.update()
+
+    def OnChangePlot(self, event):
+        self.change_plot(event.GetId() - 1000)
+
+    def change_plot(self, plot_number):
+        t = np.arange(1.0, 3.0, 0.01)
+        s = functions[plot_number][1](t)
+        self.axes.clear()
+        self.axes.plot(t, s)
+        self.canvas.draw()
+
+    def OnClose(self, event):
+        self.Destroy()
+
+
+class MyApp(wx.App):
+    def OnInit(self):
+        frame = CanvasFrame(None, "wxPython mathtext demo app")
+        self.SetTopWindow(frame)
+        frame.Show(True)
+        return True
+
+
+if __name__ == "__main__":
+    app = MyApp()
+    app.MainLoop()
diff --git a/examples/user_interfaces/mpl_with_glade_316.glade b/galleries/examples/user_interfaces/mpl_with_glade3.glade
similarity index 100%
rename from examples/user_interfaces/mpl_with_glade_316.glade
rename to galleries/examples/user_interfaces/mpl_with_glade3.glade
diff --git a/galleries/examples/user_interfaces/mpl_with_glade3_sgskip.py b/galleries/examples/user_interfaces/mpl_with_glade3_sgskip.py
new file mode 100644
index 000000000000..f39dbf4ca28e
--- /dev/null
+++ b/galleries/examples/user_interfaces/mpl_with_glade3_sgskip.py
@@ -0,0 +1,54 @@
+"""
+=======================
+Matplotlib with Glade 3
+=======================
+"""
+
+from pathlib import Path
+
+import gi
+
+gi.require_version('Gtk', '3.0')
+from gi.repository import Gtk
+
+import numpy as np
+
+from matplotlib.backends.backend_gtk3agg import \
+    FigureCanvasGTK3Agg as FigureCanvas
+from matplotlib.figure import Figure
+
+
+class Window1Signals:
+    def on_window1_destroy(self, widget):
+        Gtk.main_quit()
+
+
+def main():
+    builder = Gtk.Builder()
+    builder.add_objects_from_file(
+        str(Path(__file__).parent / "mpl_with_glade3.glade"),
+        ("window1", ""))
+    builder.connect_signals(Window1Signals())
+    window = builder.get_object("window1")
+    sw = builder.get_object("scrolledwindow1")
+
+    # Start of Matplotlib specific code
+    figure = Figure(figsize=(8, 6), dpi=71)
+    axis = figure.add_subplot()
+    t = np.arange(0.0, 3.0, 0.01)
+    s = np.sin(2*np.pi*t)
+    axis.plot(t, s)
+
+    axis.set_xlabel('time [s]')
+    axis.set_ylabel('voltage [V]')
+
+    canvas = FigureCanvas(figure)  # a Gtk.DrawingArea
+    canvas.set_size_request(800, 600)
+    sw.add(canvas)
+    # End of Matplotlib specific code
+
+    window.show_all()
+    Gtk.main()
+
+if __name__ == "__main__":
+    main()
diff --git a/galleries/examples/user_interfaces/mplcvd.py b/galleries/examples/user_interfaces/mplcvd.py
new file mode 100644
index 000000000000..78decd8a4927
--- /dev/null
+++ b/galleries/examples/user_interfaces/mplcvd.py
@@ -0,0 +1,300 @@
+"""
+mplcvd -- an example of figure hook
+===================================
+
+To use this hook, ensure that this module is in your ``PYTHONPATH``, and set
+``rcParams["figure.hooks"] = ["mplcvd:setup"]``.  This hook depends on
+the ``colorspacious`` third-party module.
+"""
+
+import functools
+from pathlib import Path
+
+import colorspacious
+
+import numpy as np
+
+_BUTTON_NAME = "Filter"
+_BUTTON_HELP = "Simulate color vision deficiencies"
+_MENU_ENTRIES = {
+    "None": None,
+    "Greyscale": "greyscale",
+    "Deuteranopia": "deuteranomaly",
+    "Protanopia": "protanomaly",
+    "Tritanopia": "tritanomaly",
+}
+
+
+def _get_color_filter(name):
+    """
+    Given a color filter name, create a color filter function.
+
+    Parameters
+    ----------
+    name : str
+        The color filter name, one of the following:
+
+        - ``"none"``: ...
+        - ``"greyscale"``: Convert the input to luminosity.
+        - ``"deuteranopia"``: Simulate the most common form of red-green
+          colorblindness.
+        - ``"protanopia"``: Simulate a rarer form of red-green colorblindness.
+        - ``"tritanopia"``: Simulate the rare form of blue-yellow
+          colorblindness.
+
+        Color conversions use `colorspacious`_.
+
+    Returns
+    -------
+    callable
+        A color filter function that has the form:
+
+        def filter(input: np.ndarray[M, N, D])-> np.ndarray[M, N, D]
+
+        where (M, N) are the image dimensions, and D is the color depth (3 for
+        RGB, 4 for RGBA). Alpha is passed through unchanged and otherwise
+        ignored.
+    """
+    if name not in _MENU_ENTRIES:
+        raise ValueError(f"Unsupported filter name: {name!r}")
+    name = _MENU_ENTRIES[name]
+
+    if name is None:
+        return None
+
+    elif name == "greyscale":
+        rgb_to_jch = colorspacious.cspace_converter("sRGB1", "JCh")
+        jch_to_rgb = colorspacious.cspace_converter("JCh", "sRGB1")
+
+        def convert(im):
+            greyscale_JCh = rgb_to_jch(im)
+            greyscale_JCh[..., 1] = 0
+            im = jch_to_rgb(greyscale_JCh)
+            return im
+
+    else:
+        cvd_space = {"name": "sRGB1+CVD", "cvd_type": name, "severity": 100}
+        convert = colorspacious.cspace_converter(cvd_space, "sRGB1")
+
+    def filter_func(im, dpi):
+        alpha = None
+        if im.shape[-1] == 4:
+            im, alpha = im[..., :3], im[..., 3]
+        im = convert(im)
+        if alpha is not None:
+            im = np.dstack((im, alpha))
+        return np.clip(im, 0, 1), 0, 0
+
+    return filter_func
+
+
+def _set_menu_entry(tb, name):
+    tb.canvas.figure.set_agg_filter(_get_color_filter(name))
+    tb.canvas.draw_idle()
+
+
+def setup(figure):
+    tb = figure.canvas.toolbar
+    if tb is None:
+        return
+    for cls in type(tb).__mro__:
+        pkg = cls.__module__.split(".")[0]
+        if pkg != "matplotlib":
+            break
+    if pkg == "gi":
+        _setup_gtk(tb)
+    elif pkg in ("PyQt5", "PySide2", "PyQt6", "PySide6"):
+        _setup_qt(tb)
+    elif pkg == "tkinter":
+        _setup_tk(tb)
+    elif pkg == "wx":
+        _setup_wx(tb)
+    else:
+        raise NotImplementedError("The current backend is not supported")
+
+
+def _setup_gtk(tb):
+    from gi.repository import Gio, GLib, Gtk
+
+    for idx in range(tb.get_n_items()):
+        children = tb.get_nth_item(idx).get_children()
+        if children and isinstance(children[0], Gtk.Label):
+            break
+
+    toolitem = Gtk.SeparatorToolItem()
+    tb.insert(toolitem, idx)
+
+    image = Gtk.Image.new_from_gicon(
+        Gio.Icon.new_for_string(
+            str(Path(__file__).parent / "images/eye-symbolic.svg")),
+        Gtk.IconSize.LARGE_TOOLBAR)
+
+    # The type of menu is progressively downgraded depending on GTK version.
+    if Gtk.check_version(3, 6, 0) is None:
+
+        group = Gio.SimpleActionGroup.new()
+        action = Gio.SimpleAction.new_stateful("cvdsim",
+                                               GLib.VariantType("s"),
+                                               GLib.Variant("s", "none"))
+        group.add_action(action)
+
+        @functools.partial(action.connect, "activate")
+        def set_filter(action, parameter):
+            _set_menu_entry(tb, parameter.get_string())
+            action.set_state(parameter)
+
+        menu = Gio.Menu()
+        for name in _MENU_ENTRIES:
+            menu.append(name, f"local.cvdsim::{name}")
+
+        button = Gtk.MenuButton.new()
+        button.remove(button.get_children()[0])
+        button.add(image)
+        button.insert_action_group("local", group)
+        button.set_menu_model(menu)
+        button.get_style_context().add_class("flat")
+
+        item = Gtk.ToolItem()
+        item.add(button)
+        tb.insert(item, idx + 1)
+
+    else:
+
+        menu = Gtk.Menu()
+        group = []
+        for name in _MENU_ENTRIES:
+            item = Gtk.RadioMenuItem.new_with_label(group, name)
+            item.set_active(name == "None")
+            item.connect(
+                "activate", lambda item: _set_menu_entry(tb, item.get_label()))
+            group.append(item)
+            menu.append(item)
+        menu.show_all()
+
+        tbutton = Gtk.MenuToolButton.new(image, _BUTTON_NAME)
+        tbutton.set_menu(menu)
+        tb.insert(tbutton, idx + 1)
+
+    tb.show_all()
+
+
+def _setup_qt(tb):
+    from matplotlib.backends.qt_compat import QtGui, QtWidgets
+
+    menu = QtWidgets.QMenu()
+    try:
+        QActionGroup = QtGui.QActionGroup  # Qt6
+    except AttributeError:
+        QActionGroup = QtWidgets.QActionGroup  # Qt5
+    group = QActionGroup(menu)
+    group.triggered.connect(lambda action: _set_menu_entry(tb, action.text()))
+
+    for name in _MENU_ENTRIES:
+        action = menu.addAction(name)
+        action.setCheckable(True)
+        action.setActionGroup(group)
+        action.setChecked(name == "None")
+
+    actions = tb.actions()
+    before = next(
+        (action for action in actions
+         if isinstance(tb.widgetForAction(action), QtWidgets.QLabel)), None)
+
+    tb.insertSeparator(before)
+    button = QtWidgets.QToolButton()
+    # FIXME: _icon needs public API.
+    button.setIcon(tb._icon(str(Path(__file__).parent / "images/eye.png")))
+    button.setText(_BUTTON_NAME)
+    button.setToolTip(_BUTTON_HELP)
+    button.setPopupMode(QtWidgets.QToolButton.ToolButtonPopupMode.InstantPopup)
+    button.setMenu(menu)
+    tb.insertWidget(before, button)
+
+
+def _setup_tk(tb):
+    import tkinter as tk
+
+    tb._Spacer()  # FIXME: _Spacer needs public API.
+
+    button = tk.Menubutton(master=tb, relief="raised")
+    button._image_file = str(Path(__file__).parent / "images/eye.png")
+    # FIXME: _set_image_for_button needs public API (perhaps like _icon).
+    tb._set_image_for_button(button)
+    button.pack(side=tk.LEFT)
+
+    menu = tk.Menu(master=button, tearoff=False)
+    for name in _MENU_ENTRIES:
+        menu.add("radiobutton", label=name,
+                 command=lambda _name=name: _set_menu_entry(tb, _name))
+    menu.invoke(0)
+    button.config(menu=menu)
+
+
+def _setup_wx(tb):
+    import wx
+
+    idx = next(idx for idx in range(tb.ToolsCount)
+               if tb.GetToolByPos(idx).IsStretchableSpace())
+    tb.InsertSeparator(idx)
+    tool = tb.InsertTool(
+        idx + 1, -1, _BUTTON_NAME,
+        # FIXME: _icon needs public API.
+        tb._icon(str(Path(__file__).parent / "images/eye.png")),
+        # FIXME: ITEM_DROPDOWN is not supported on macOS.
+        kind=wx.ITEM_DROPDOWN, shortHelp=_BUTTON_HELP)
+
+    menu = wx.Menu()
+    for name in _MENU_ENTRIES:
+        item = menu.AppendRadioItem(-1, name)
+        menu.Bind(
+            wx.EVT_MENU,
+            lambda event, _name=name: _set_menu_entry(tb, _name),
+            id=item.Id,
+        )
+    tb.SetDropdownMenu(tool.Id, menu)
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    from matplotlib import cbook
+
+    plt.rcParams['figure.hooks'].append('mplcvd:setup')
+
+    fig, axd = plt.subplot_mosaic(
+        [
+            ['viridis', 'turbo'],
+            ['photo', 'lines']
+        ]
+    )
+
+    delta = 0.025
+    x = y = np.arange(-3.0, 3.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    imv = axd['viridis'].imshow(
+        Z, interpolation='bilinear',
+        origin='lower', extent=[-3, 3, -3, 3],
+        vmax=abs(Z).max(), vmin=-abs(Z).max()
+    )
+    fig.colorbar(imv)
+    imt = axd['turbo'].imshow(
+        Z, interpolation='bilinear', cmap='turbo',
+        origin='lower', extent=[-3, 3, -3, 3],
+        vmax=abs(Z).max(), vmin=-abs(Z).max()
+    )
+    fig.colorbar(imt)
+
+    # A sample image
+    with cbook.get_sample_data('grace_hopper.jpg') as image_file:
+        photo = plt.imread(image_file)
+    axd['photo'].imshow(photo)
+
+    th = np.linspace(0, 2*np.pi, 1024)
+    for j in [1, 2, 4, 6]:
+        axd['lines'].plot(th, np.sin(th * j), label=f'$\\omega={j}$')
+    axd['lines'].legend(ncols=2, loc='upper right')
+    plt.show()
diff --git a/galleries/examples/user_interfaces/pylab_with_gtk3_sgskip.py b/galleries/examples/user_interfaces/pylab_with_gtk3_sgskip.py
new file mode 100644
index 000000000000..e86e2a75d629
--- /dev/null
+++ b/galleries/examples/user_interfaces/pylab_with_gtk3_sgskip.py
@@ -0,0 +1,61 @@
+"""
+================
+pyplot with GTK3
+================
+
+An example of how to use pyplot to manage your figure windows, but modify the
+GUI by accessing the underlying GTK widgets.
+"""
+
+import matplotlib
+
+matplotlib.use('GTK3Agg')  # or 'GTK3Cairo'
+import gi
+
+import matplotlib.pyplot as plt
+
+gi.require_version('Gtk', '3.0')
+from gi.repository import Gtk
+
+fig, ax = plt.subplots()
+ax.plot([1, 2, 3], 'ro-', label='easy as 1 2 3')
+ax.plot([1, 4, 9], 'gs--', label='easy as 1 2 3 squared')
+ax.legend()
+
+manager = fig.canvas.manager
+# you can access the window or vbox attributes this way
+toolbar = manager.toolbar
+vbox = manager.vbox
+
+# now let's add a button to the toolbar
+button = Gtk.Button(label='Click me')
+button.show()
+button.connect('clicked', lambda button: print('hi mom'))
+
+toolitem = Gtk.ToolItem()
+toolitem.show()
+toolitem.set_tooltip_text('Click me for fun and profit')
+toolitem.add(button)
+
+pos = 8  # where to insert this in the toolbar
+toolbar.insert(toolitem, pos)
+
+# now let's add a widget to the vbox
+label = Gtk.Label()
+label.set_markup('Drag mouse over axes for position')
+label.show()
+vbox.pack_start(label, False, False, 0)
+vbox.reorder_child(toolbar, -1)
+
+
+def update(event):
+    if event.xdata is None:
+        label.set_markup('Drag mouse over axes for position')
+    else:
+        label.set_markup(
+            f'<span color="#ef0000">x,y=({event.xdata}, {event.ydata})</span>')
+
+
+fig.canvas.mpl_connect('motion_notify_event', update)
+
+plt.show()
diff --git a/galleries/examples/user_interfaces/pylab_with_gtk4_sgskip.py b/galleries/examples/user_interfaces/pylab_with_gtk4_sgskip.py
new file mode 100644
index 000000000000..0d449530934e
--- /dev/null
+++ b/galleries/examples/user_interfaces/pylab_with_gtk4_sgskip.py
@@ -0,0 +1,52 @@
+"""
+================
+pyplot with GTK4
+================
+
+An example of how to use pyplot to manage your figure windows, but modify the
+GUI by accessing the underlying GTK widgets.
+"""
+
+import matplotlib
+
+matplotlib.use('GTK4Agg')  # or 'GTK4Cairo'
+import gi
+
+import matplotlib.pyplot as plt
+
+gi.require_version('Gtk', '4.0')
+from gi.repository import Gtk
+
+fig, ax = plt.subplots()
+ax.plot([1, 2, 3], 'ro-', label='easy as 1 2 3')
+ax.plot([1, 4, 9], 'gs--', label='easy as 1 2 3 squared')
+ax.legend()
+
+manager = fig.canvas.manager
+# you can access the window or vbox attributes this way
+toolbar = manager.toolbar
+vbox = manager.vbox
+
+# now let's add a button to the toolbar
+button = Gtk.Button(label='Click me')
+button.connect('clicked', lambda button: print('hi mom'))
+button.set_tooltip_text('Click me for fun and profit')
+toolbar.append(button)
+
+# now let's add a widget to the vbox
+label = Gtk.Label()
+label.set_markup('Drag mouse over axes for position')
+vbox.insert_child_after(label, fig.canvas)
+
+
+def update(event):
+    if event.xdata is None:
+        label.set_markup('Drag mouse over axes for position')
+    else:
+        label.set_markup(
+            f'<span color="#ef0000">x,y=({event.xdata}, {event.ydata})</span>')
+
+
+fig.canvas.mpl_connect('motion_notify_event', update)
+
+plt.show()
diff --git a/galleries/examples/user_interfaces/svg_histogram_sgskip.py b/galleries/examples/user_interfaces/svg_histogram_sgskip.py
new file mode 100644
index 000000000000..7a484d998e69
--- /dev/null
+++ b/galleries/examples/user_interfaces/svg_histogram_sgskip.py
@@ -0,0 +1,159 @@
+"""
+=============
+SVG Histogram
+=============
+
+Demonstrate how to create an interactive histogram, in which bars
+are hidden or shown by clicking on legend markers.
+
+The interactivity is encoded in ecmascript (javascript) and inserted in
+the SVG code in a post-processing step. To render the image, open it in
+a web browser. SVG is supported in most web browsers used by Linux and
+macOS users. Windows IE9 supports SVG, but earlier versions do not.
+
+Notes
+-----
+The matplotlib backend lets us assign ids to each object. This is the
+mechanism used here to relate matplotlib objects created in python and
+the corresponding SVG constructs that are parsed in the second step.
+While flexible, ids are cumbersome to use for large collection of
+objects. Two mechanisms could be used to simplify things:
+
+* systematic grouping of objects into SVG <g> tags,
+* assigning classes to each SVG object according to its origin.
+
+For example, instead of modifying the properties of each individual bar,
+the bars from the `~.pyplot.hist` function could either be grouped in
+a PatchCollection, or be assigned a class="hist_##" attribute.
+
+CSS could also be used more extensively to replace repetitive markup
+throughout the generated SVG.
+
+Author: david.huard@gmail.com
+
+"""
+
+
+from io import BytesIO
+import json
+import xml.etree.ElementTree as ET
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.rcParams['svg.fonttype'] = 'none'
+
+# Apparently, this `register_namespace` method is necessary to avoid garbling
+# the XML namespace with ns0.
+ET.register_namespace("", "http://www.w3.org/2000/svg")
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# --- Create histogram, legend and title ---
+plt.figure()
+r = np.random.randn(100)
+r1 = r + 1
+labels = ['Rabbits', 'Frogs']
+H = plt.hist([r, r1], label=labels)
+containers = H[-1]
+leg = plt.legend(frameon=False)
+plt.title("From a web browser, click on the legend\n"
+          "marker to toggle the corresponding histogram.")
+
+
+# --- Add ids to the svg objects we'll modify
+
+hist_patches = {}
+for ic, c in enumerate(containers):
+    hist_patches[f'hist_{ic}'] = []
+    for il, element in enumerate(c):
+        element.set_gid(f'hist_{ic}_patch_{il}')
+        hist_patches[f'hist_{ic}'].append(f'hist_{ic}_patch_{il}')
+
+# Set ids for the legend patches
+for i, t in enumerate(leg.get_patches()):
+    t.set_gid(f'leg_patch_{i}')
+
+# Set ids for the text patches
+for i, t in enumerate(leg.get_texts()):
+    t.set_gid(f'leg_text_{i}')
+
+# Save SVG in a fake file object.
+f = BytesIO()
+plt.savefig(f, format="svg")
+
+# Create XML tree from the SVG file.
+tree, xmlid = ET.XMLID(f.getvalue())
+
+
+# --- Add interactivity ---
+
+# Add attributes to the patch objects.
+for i, t in enumerate(leg.get_patches()):
+    el = xmlid[f'leg_patch_{i}']
+    el.set('cursor', 'pointer')
+    el.set('onclick', "toggle_hist(this)")
+
+# Add attributes to the text objects.
+for i, t in enumerate(leg.get_texts()):
+    el = xmlid[f'leg_text_{i}']
+    el.set('cursor', 'pointer')
+    el.set('onclick', "toggle_hist(this)")
+
+# Create script defining the function `toggle_hist`.
+# We create a global variable `container` that stores the patches id
+# belonging to each histogram. Then a function "toggle_element" sets the
+# visibility attribute of all patches of each histogram and the opacity
+# of the marker itself.
+
+script = """
+<script type="text/ecmascript">
+<![CDATA[
+var container = %s
+
+function toggle(oid, attribute, values) {
+    /* Toggle the style attribute of an object between two values.
+
+    Parameters
+    ----------
+    oid : str
+      Object identifier.
+    attribute : str
+      Name of style attribute.
+    values : [on state, off state]
+      The two values that are switched between.
+    */
+    var obj = document.getElementById(oid);
+    var a = obj.style[attribute];
+
+    a = (a == values[0] || a == "") ? values[1] : values[0];
+    obj.style[attribute] = a;
+    }
+
+function toggle_hist(obj) {
+
+    var num = obj.id.slice(-1);
+
+    toggle('leg_patch_' + num, 'opacity', [1, 0.3]);
+    toggle('leg_text_' + num, 'opacity', [1, 0.5]);
+
+    var names = container['hist_'+num]
+
+    for (var i=0; i < names.length; i++) {
+        toggle(names[i], 'opacity', [1, 0])
+    };
+    }
+]]>
+</script>
+""" % json.dumps(hist_patches)
+
+# Add a transition effect
+css = tree.find('.//{http://www.w3.org/2000/svg}style')
+css.text = css.text + "g {-webkit-transition:opacity 0.4s ease-out;" + \
+    "-moz-transition:opacity 0.4s ease-out;}"
+
+# Insert the script and save to file.
+tree.insert(0, ET.XML(script))
+
+ET.ElementTree(tree).write("svg_histogram.svg")
diff --git a/galleries/examples/user_interfaces/svg_tooltip_sgskip.py b/galleries/examples/user_interfaces/svg_tooltip_sgskip.py
new file mode 100644
index 000000000000..7068431b45e8
--- /dev/null
+++ b/galleries/examples/user_interfaces/svg_tooltip_sgskip.py
@@ -0,0 +1,109 @@
+"""
+===========
+SVG Tooltip
+===========
+
+This example shows how to create a tooltip that will show up when
+hovering over a matplotlib patch.
+
+Although it is possible to create the tooltip from CSS or javascript,
+here we create it in matplotlib and simply toggle its visibility on
+when hovering over the patch. This approach provides total control over
+the tooltip placement and appearance, at the expense of more code up
+front.
+
+The alternative approach would be to put the tooltip content in ``title``
+attributes of SVG objects. Then, using an existing js/CSS library, it
+would be relatively straightforward to create the tooltip in the
+browser. The content would be dictated by the ``title`` attribute, and
+the appearance by the CSS.
+
+
+:author: David Huard
+"""
+
+
+from io import BytesIO
+import xml.etree.ElementTree as ET
+
+import matplotlib.pyplot as plt
+
+ET.register_namespace("", "http://www.w3.org/2000/svg")
+
+fig, ax = plt.subplots()
+
+# Create patches to which tooltips will be assigned.
+rect1 = plt.Rectangle((10, -20), 10, 5, fc='blue')
+rect2 = plt.Rectangle((-20, 15), 10, 5, fc='green')
+
+shapes = [rect1, rect2]
+labels = ['This is a blue rectangle.', 'This is a green rectangle']
+
+for i, (item, label) in enumerate(zip(shapes, labels)):
+    patch = ax.add_patch(item)
+    annotate = ax.annotate(labels[i], xy=item.get_xy(), xytext=(0, 0),
+                           textcoords='offset points', color='w', ha='center',
+                           fontsize=8, bbox=dict(boxstyle='round, pad=.5',
+                                                 fc=(.1, .1, .1, .92),
+                                                 ec=(1., 1., 1.), lw=1,
+                                                 zorder=1))
+
+    ax.add_patch(patch)
+    patch.set_gid(f'mypatch_{i:03d}')
+    annotate.set_gid(f'mytooltip_{i:03d}')
+
+# Save the figure in a fake file object
+ax.set_xlim(-30, 30)
+ax.set_ylim(-30, 30)
+ax.set_aspect('equal')
+
+f = BytesIO()
+plt.savefig(f, format="svg")
+
+# --- Add interactivity ---
+
+# Create XML tree from the SVG file.
+tree, xmlid = ET.XMLID(f.getvalue())
+tree.set('onload', 'init(event)')
+
+for i in shapes:
+    # Get the index of the shape
+    index = shapes.index(i)
+    # Hide the tooltips
+    tooltip = xmlid[f'mytooltip_{index:03d}']
+    tooltip.set('visibility', 'hidden')
+    # Assign onmouseover and onmouseout callbacks to patches.
+    mypatch = xmlid[f'mypatch_{index:03d}']
+    mypatch.set('onmouseover', "ShowTooltip(this)")
+    mypatch.set('onmouseout', "HideTooltip(this)")
+
+# This is the script defining the ShowTooltip and HideTooltip functions.
+script = """
+    <script type="text/ecmascript">
+    <![CDATA[
+
+    function init(event) {
+        if ( window.svgDocument == null ) {
+            svgDocument = event.target.ownerDocument;
+            }
+        }
+
+    function ShowTooltip(obj) {
+        var cur = obj.id.split("_")[1];
+        var tip = svgDocument.getElementById('mytooltip_' + cur);
+        tip.setAttribute('visibility', "visible")
+        }
+
+    function HideTooltip(obj) {
+        var cur = obj.id.split("_")[1];
+        var tip = svgDocument.getElementById('mytooltip_' + cur);
+        tip.setAttribute('visibility', "hidden")
+        }
+
+    ]]>
+    </script>
+    """
+
+# Insert the script at the top of the file and save it.
+tree.insert(0, ET.XML(script))
+ET.ElementTree(tree).write('svg_tooltip.svg')
diff --git a/galleries/examples/user_interfaces/toolmanager_sgskip.py b/galleries/examples/user_interfaces/toolmanager_sgskip.py
new file mode 100644
index 000000000000..14fc671a5301
--- /dev/null
+++ b/galleries/examples/user_interfaces/toolmanager_sgskip.py
@@ -0,0 +1,92 @@
+"""
+============
+Tool Manager
+============
+
+This example demonstrates how to
+
+* modify the Toolbar
+* create tools
+* add tools
+* remove tools
+
+using `matplotlib.backend_managers.ToolManager`.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.backend_tools import ToolBase, ToolToggleBase
+
+plt.rcParams['toolbar'] = 'toolmanager'
+
+
+class ListTools(ToolBase):
+    """List all the tools controlled by the `ToolManager`."""
+    default_keymap = 'm'  # keyboard shortcut
+    description = 'List Tools'
+
+    def trigger(self, *args, **kwargs):
+        print('_' * 80)
+        fmt_tool = "{:12} {:45} {}".format
+        print(fmt_tool('Name (id)', 'Tool description', 'Keymap'))
+        print('-' * 80)
+        tools = self.toolmanager.tools
+        for name in sorted(tools):
+            if not tools[name].description:
+                continue
+            keys = ', '.join(sorted(self.toolmanager.get_tool_keymap(name)))
+            print(fmt_tool(name, tools[name].description, keys))
+        print('_' * 80)
+        fmt_active_toggle = "{!s:12} {!s:45}".format
+        print("Active Toggle tools")
+        print(fmt_active_toggle("Group", "Active"))
+        print('-' * 80)
+        for group, active in self.toolmanager.active_toggle.items():
+            print(fmt_active_toggle(group, active))
+
+
+class GroupHideTool(ToolToggleBase):
+    """Show lines with a given gid."""
+    default_keymap = 'S'
+    description = 'Show by gid'
+    default_toggled = True
+
+    def __init__(self, *args, gid, **kwargs):
+        self.gid = gid
+        super().__init__(*args, **kwargs)
+
+    def enable(self, *args):
+        self.set_lines_visibility(True)
+
+    def disable(self, *args):
+        self.set_lines_visibility(False)
+
+    def set_lines_visibility(self, state):
+        for ax in self.figure.get_axes():
+            for line in ax.get_lines():
+                if line.get_gid() == self.gid:
+                    line.set_visible(state)
+        self.figure.canvas.draw()
+
+
+fig = plt.figure()
+plt.plot([1, 2, 3], gid='mygroup')
+plt.plot([2, 3, 4], gid='unknown')
+plt.plot([3, 2, 1], gid='mygroup')
+
+# Add the custom tools that we created
+fig.canvas.manager.toolmanager.add_tool('List', ListTools)
+fig.canvas.manager.toolmanager.add_tool('Show', GroupHideTool, gid='mygroup')
+
+# Add an existing tool to new group `foo`.
+# It can be added as many times as we want
+fig.canvas.manager.toolbar.add_tool('zoom', 'foo')
+
+# Remove the forward button
+fig.canvas.manager.toolmanager.remove_tool('forward')
+
+# To add a custom tool to the toolbar at specific location inside
+# the navigation group
+fig.canvas.manager.toolbar.add_tool('Show', 'navigation', 1)
+
+plt.show()
diff --git a/galleries/examples/user_interfaces/web_application_server_sgskip.py b/galleries/examples/user_interfaces/web_application_server_sgskip.py
new file mode 100644
index 000000000000..60c321e02eb9
--- /dev/null
+++ b/galleries/examples/user_interfaces/web_application_server_sgskip.py
@@ -0,0 +1,73 @@
+"""
+=========================================
+Embed in a web application server (Flask)
+=========================================
+
+When using Matplotlib in a web server it is strongly recommended to not use
+pyplot (pyplot maintains references to the opened figures to make
+`~.matplotlib.pyplot.show` work, but this will cause memory leaks unless the
+figures are properly closed).
+
+Since Matplotlib 3.1, one can directly create figures using the `.Figure`
+constructor and save them to in-memory buffers.  In older versions, it was
+necessary to explicitly instantiate an Agg canvas (see e.g.
+:doc:`/gallery/user_interfaces/canvasagg`).
+
+The following example uses Flask_, but other frameworks work similarly:
+
+.. _Flask: https://flask.palletsprojects.com
+
+"""
+
+import base64
+from io import BytesIO
+
+from flask import Flask
+
+from matplotlib.figure import Figure
+
+app = Flask(__name__)
+
+
+@app.route("/")
+def hello():
+    # Generate the figure **without using pyplot**.
+    fig = Figure()
+    ax = fig.subplots()
+    ax.plot([1, 2])
+    # Save it to a temporary buffer.
+    buf = BytesIO()
+    fig.savefig(buf, format="png")
+    # Embed the result in the html output.
+    data = base64.b64encode(buf.getbuffer()).decode("ascii")
+    return f"<img src='data:image/png;base64,{data}'/>"
+
+# %%
+#
+# Since the above code is a Flask application, it should be run using the
+# `flask command-line tool <https://flask.palletsprojects.com/en/latest/cli/>`_
+# Assuming that the working directory contains this script:
+#
+# Unix-like systems
+#
+# .. code-block:: console
+#
+#  FLASK_APP=web_application_server_sgskip flask run
+#
+# Windows
+#
+# .. code-block:: console
+#
+#  set FLASK_APP=web_application_server_sgskip
+#  flask run
+#
+#
+# Clickable images for HTML
+# -------------------------
+#
+# Andrew Dalke of `Dalke Scientific <http://www.dalkescientific.com>`_
+# has written a nice `article
+# <http://www.dalkescientific.com/writings/diary/archive/2005/04/24/interactive_html.html>`_
+# on how to make html click maps with Matplotlib agg PNGs.  We would
+# also like to add this functionality to SVG.  If you are interested in
+# contributing to these efforts that would be great.
diff --git a/galleries/examples/user_interfaces/wxcursor_demo_sgskip.py b/galleries/examples/user_interfaces/wxcursor_demo_sgskip.py
new file mode 100644
index 000000000000..e2e7348f1c3c
--- /dev/null
+++ b/galleries/examples/user_interfaces/wxcursor_demo_sgskip.py
@@ -0,0 +1,68 @@
+"""
+==================
+Add a cursor in WX
+==================
+
+Example to draw a cursor and report the data coords in wx.
+"""
+
+import wx
+
+import numpy as np
+
+from matplotlib.backends.backend_wx import NavigationToolbar2Wx
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.figure import Figure
+
+
+class CanvasFrame(wx.Frame):
+    def __init__(self, ):
+        super().__init__(None, -1, 'CanvasFrame', size=(550, 350))
+
+        self.figure = Figure()
+        self.axes = self.figure.add_subplot()
+        t = np.arange(0.0, 3.0, 0.01)
+        s = np.sin(2*np.pi*t)
+
+        self.axes.plot(t, s)
+        self.axes.set_xlabel('t')
+        self.axes.set_ylabel('sin(t)')
+        self.figure_canvas = FigureCanvas(self, -1, self.figure)
+
+        # Note that event is a MplEvent
+        self.figure_canvas.mpl_connect(
+            'motion_notify_event', self.UpdateStatusBar)
+        self.figure_canvas.Bind(wx.EVT_ENTER_WINDOW, self.ChangeCursor)
+
+        self.sizer = wx.BoxSizer(wx.VERTICAL)
+        self.sizer.Add(self.figure_canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
+        self.SetSizer(self.sizer)
+        self.Fit()
+
+        self.statusBar = wx.StatusBar(self, -1)
+        self.SetStatusBar(self.statusBar)
+
+        self.toolbar = NavigationToolbar2Wx(self.figure_canvas)
+        self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
+        self.toolbar.Show()
+
+    def ChangeCursor(self, event):
+        self.figure_canvas.SetCursor(wx.Cursor(wx.CURSOR_BULLSEYE))
+
+    def UpdateStatusBar(self, event):
+        if event.inaxes:
+            self.statusBar.SetStatusText(f"x={event.xdata}  y={event.ydata}")
+
+
+class App(wx.App):
+    def OnInit(self):
+        """Create the main window and insert the custom frame."""
+        frame = CanvasFrame()
+        self.SetTopWindow(frame)
+        frame.Show(True)
+        return True
+
+
+if __name__ == '__main__':
+    app = App()
+    app.MainLoop()
diff --git a/galleries/examples/userdemo/README.txt b/galleries/examples/userdemo/README.txt
new file mode 100644
index 000000000000..7be351dc70dd
--- /dev/null
+++ b/galleries/examples/userdemo/README.txt
@@ -0,0 +1,4 @@
+.. _userdemo:
+
+Userdemo
+========
diff --git a/galleries/examples/userdemo/demo_gridspec06.py b/galleries/examples/userdemo/demo_gridspec06.py
new file mode 100644
index 000000000000..c42224ce1e7b
--- /dev/null
+++ b/galleries/examples/userdemo/demo_gridspec06.py
@@ -0,0 +1,38 @@
+r"""
+================
+Nested GridSpecs
+================
+
+This example demonstrates the use of nested `.GridSpec`\s.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def squiggle_xy(a, b, c, d):
+    i = np.arange(0.0, 2*np.pi, 0.05)
+    return np.sin(i*a)*np.cos(i*b), np.sin(i*c)*np.cos(i*d)
+
+
+fig = plt.figure(figsize=(8, 8))
+outer_grid = fig.add_gridspec(4, 4, wspace=0, hspace=0)
+
+for a in range(4):
+    for b in range(4):
+        # gridspec inside gridspec
+        inner_grid = outer_grid[a, b].subgridspec(3, 3, wspace=0, hspace=0)
+        axs = inner_grid.subplots()  # Create all subplots for the inner grid.
+        for (c, d), ax in np.ndenumerate(axs):
+            ax.plot(*squiggle_xy(a + 1, b + 1, c + 1, d + 1))
+            ax.set(xticks=[], yticks=[])
+
+# show only the outside spines
+for ax in fig.get_axes():
+    ss = ax.get_subplotspec()
+    ax.spines.top.set_visible(ss.is_first_row())
+    ax.spines.bottom.set_visible(ss.is_last_row())
+    ax.spines.left.set_visible(ss.is_first_col())
+    ax.spines.right.set_visible(ss.is_last_col())
+
+plt.show()
diff --git a/galleries/examples/widgets/README.txt b/galleries/examples/widgets/README.txt
new file mode 100644
index 000000000000..aaa2eca9f53c
--- /dev/null
+++ b/galleries/examples/widgets/README.txt
@@ -0,0 +1,5 @@
+Widgets
+=======
+
+Examples of how to write primitive, but GUI agnostic, widgets in
+matplotlib
diff --git a/galleries/examples/widgets/annotated_cursor.py b/galleries/examples/widgets/annotated_cursor.py
new file mode 100644
index 000000000000..9fec9b6568bc
--- /dev/null
+++ b/galleries/examples/widgets/annotated_cursor.py
@@ -0,0 +1,356 @@
+"""
+================
+Annotated cursor
+================
+
+Display a data cursor including a text box, which shows the plot point close
+to the mouse pointer.
+
+The new cursor inherits from `~matplotlib.widgets.Cursor` and demonstrates the
+creation of new widgets and their event callbacks.
+
+See also the :doc:`cross hair cursor
+</gallery/event_handling/cursor_demo>`, which implements a cursor tracking the
+plotted data, but without using inheritance and without displaying the
+currently tracked coordinates.
+
+.. note::
+    The figure related to this example does not show the cursor, because that
+    figure is automatically created in a build queue, where the first mouse
+    movement, which triggers the cursor creation, is missing.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.backend_bases import MouseEvent
+from matplotlib.widgets import Cursor
+
+
+class AnnotatedCursor(Cursor):
+    """
+    A crosshair cursor like `~matplotlib.widgets.Cursor` with a text showing \
+    the current coordinates.
+
+    For the cursor to remain responsive you must keep a reference to it.
+    The data of the axis specified as *dataaxis* must be in ascending
+    order. Otherwise, the `numpy.searchsorted` call might fail and the text
+    disappears. You can satisfy the requirement by sorting the data you plot.
+    Usually the data is already sorted (if it was created e.g. using
+    `numpy.linspace`), but e.g. scatter plots might cause this problem.
+    The cursor sticks to the plotted line.
+
+    Parameters
+    ----------
+    line : `matplotlib.lines.Line2D`
+        The plot line from which the data coordinates are displayed.
+
+    numberformat : `python format string <https://docs.python.org/3/\
+    library/string.html#formatstrings>`_, optional, default: "{0:.4g};{1:.4g}"
+        The displayed text is created by calling *format()* on this string
+        with the two coordinates.
+
+    offset : (float, float) default: (5, 5)
+        The offset in display (pixel) coordinates of the text position
+        relative to the cross-hair.
+
+    dataaxis : {"x", "y"}, optional, default: "x"
+        If "x" is specified, the vertical cursor line sticks to the mouse
+        pointer. The horizontal cursor line sticks to *line*
+        at that x value. The text shows the data coordinates of *line*
+        at the pointed x value. If you specify "y", it works in the opposite
+        manner. But: For the "y" value, where the mouse points to, there might
+        be multiple matching x values, if the plotted function is not biunique.
+        Cursor and text coordinate will always refer to only one x value.
+        So if you use the parameter value "y", ensure that your function is
+        biunique.
+
+    Other Parameters
+    ----------------
+    textprops : `matplotlib.text` properties as dictionary
+        Specifies the appearance of the rendered text object.
+
+    **cursorargs : `matplotlib.widgets.Cursor` properties
+        Arguments passed to the internal `~matplotlib.widgets.Cursor` instance.
+        The `matplotlib.axes.Axes` argument is mandatory! The parameter
+        *useblit* can be set to *True* in order to achieve faster rendering.
+
+    """
+
+    def __init__(self, line, numberformat="{0:.4g};{1:.4g}", offset=(5, 5),
+                 dataaxis='x', textprops=None, **cursorargs):
+        if textprops is None:
+            textprops = {}
+        # The line object, for which the coordinates are displayed
+        self.line = line
+        # The format string, on which .format() is called for creating the text
+        self.numberformat = numberformat
+        # Text position offset
+        self.offset = np.array(offset)
+        # The axis in which the cursor position is looked up
+        self.dataaxis = dataaxis
+
+        # First call baseclass constructor.
+        # Draws cursor and remembers background for blitting.
+        # Saves ax as class attribute.
+        super().__init__(**cursorargs)
+
+        # Default value for position of text.
+        self.set_position(self.line.get_xdata()[0], self.line.get_ydata()[0])
+        # Create invisible animated text
+        self.text = self.ax.text(
+            self.ax.get_xbound()[0],
+            self.ax.get_ybound()[0],
+            "0, 0",
+            animated=bool(self.useblit),
+            visible=False, **textprops)
+        # The position at which the cursor was last drawn
+        self.lastdrawnplotpoint = None
+
+    def onmove(self, event):
+        """
+        Overridden draw callback for cursor. Called when moving the mouse.
+        """
+
+        # Leave method under the same conditions as in overridden method
+        if self.ignore(event):
+            self.lastdrawnplotpoint = None
+            return
+        if not self.canvas.widgetlock.available(self):
+            self.lastdrawnplotpoint = None
+            return
+
+        # If the mouse left drawable area, we now make the text invisible.
+        # Baseclass will redraw complete canvas after, which makes both text
+        # and cursor disappear.
+        if event.inaxes != self.ax:
+            self.lastdrawnplotpoint = None
+            self.text.set_visible(False)
+            super().onmove(event)
+            return
+
+        # Get the coordinates, which should be displayed as text,
+        # if the event coordinates are valid.
+        plotpoint = None
+        if event.xdata is not None and event.ydata is not None:
+            # Get plot point related to current x position.
+            # These coordinates are displayed in text.
+            plotpoint = self.set_position(event.xdata, event.ydata)
+            # Modify event, such that the cursor is displayed on the
+            # plotted line, not at the mouse pointer,
+            # if the returned plot point is valid
+            if plotpoint is not None:
+                event.xdata = plotpoint[0]
+                event.ydata = plotpoint[1]
+
+        # If the plotpoint is given, compare to last drawn plotpoint and
+        # return if they are the same.
+        # Skip even the call of the base class, because this would restore the
+        # background, draw the cursor lines and would leave us the job to
+        # re-draw the text.
+        if plotpoint is not None and plotpoint == self.lastdrawnplotpoint:
+            return
+
+        # Baseclass redraws canvas and cursor. Due to blitting,
+        # the added text is removed in this call, because the
+        # background is redrawn.
+        super().onmove(event)
+
+        # Check if the display of text is still necessary.
+        # If not, just return.
+        # This behaviour is also cloned from the base class.
+        if not self.get_active() or not self.visible:
+            return
+
+        # Draw the widget, if event coordinates are valid.
+        if plotpoint is not None:
+            # Update position and displayed text.
+            # Position: Where the event occurred.
+            # Text: Determined by set_position() method earlier
+            # Position is transformed to pixel coordinates,
+            # an offset is added there and this is transformed back.
+            temp = [event.xdata, event.ydata]
+            temp = self.ax.transData.transform(temp)
+            temp = temp + self.offset
+            temp = self.ax.transData.inverted().transform(temp)
+            self.text.set_position(temp)
+            self.text.set_text(self.numberformat.format(*plotpoint))
+            self.text.set_visible(self.visible)
+
+            # Tell base class, that we have drawn something.
+            # Baseclass needs to know, that it needs to restore a clean
+            # background, if the cursor leaves our figure context.
+            self.needclear = True
+
+            # Remember the recently drawn cursor position, so events for the
+            # same position (mouse moves slightly between two plot points)
+            # can be skipped
+            self.lastdrawnplotpoint = plotpoint
+        # otherwise, make text invisible
+        else:
+            self.text.set_visible(False)
+
+        # Draw changes. Cannot use _update method of baseclass,
+        # because it would first restore the background, which
+        # is done already and is not necessary.
+        if self.useblit:
+            self.ax.draw_artist(self.text)
+            self.canvas.blit(self.ax.bbox)
+        else:
+            # If blitting is deactivated, the overridden _update call made
+            # by the base class immediately returned.
+            # We still have to draw the changes.
+            self.canvas.draw_idle()
+
+    def set_position(self, xpos, ypos):
+        """
+        Finds the coordinates, which have to be shown in text.
+
+        The behaviour depends on the *dataaxis* attribute. Function looks
+        up the matching plot coordinate for the given mouse position.
+
+        Parameters
+        ----------
+        xpos : float
+            The current x position of the cursor in data coordinates.
+            Important if *dataaxis* is set to 'x'.
+        ypos : float
+            The current y position of the cursor in data coordinates.
+            Important if *dataaxis* is set to 'y'.
+
+        Returns
+        -------
+        ret : {2D array-like, None}
+            The coordinates which should be displayed.
+            *None* is the fallback value.
+        """
+
+        # Get plot line data
+        xdata = self.line.get_xdata()
+        ydata = self.line.get_ydata()
+
+        # The dataaxis attribute decides, in which axis we look up which cursor
+        # coordinate.
+        if self.dataaxis == 'x':
+            pos = xpos
+            data = xdata
+            lim = self.ax.get_xlim()
+        elif self.dataaxis == 'y':
+            pos = ypos
+            data = ydata
+            lim = self.ax.get_ylim()
+        else:
+            raise ValueError(f"The data axis specifier {self.dataaxis} should "
+                             f"be 'x' or 'y'")
+
+        # If position is valid and in valid plot data range.
+        if pos is not None and lim[0] <= pos <= lim[-1]:
+            # Find closest x value in sorted x vector.
+            # This requires the plotted data to be sorted.
+            index = np.searchsorted(data, pos)
+            # Return none, if this index is out of range.
+            if index < 0 or index >= len(data):
+                return None
+            # Return plot point as tuple.
+            return (xdata[index], ydata[index])
+
+        # Return none if there is no good related point for this x position.
+        return None
+
+    def clear(self, event):
+        """
+        Overridden clear callback for cursor, called before drawing the figure.
+        """
+
+        # The base class saves the clean background for blitting.
+        # Text and cursor are invisible,
+        # until the first mouse move event occurs.
+        super().clear(event)
+        if self.ignore(event):
+            return
+        self.text.set_visible(False)
+
+    def _update(self):
+        """
+        Overridden method for either blitting or drawing the widget canvas.
+
+        Passes call to base class if blitting is activated, only.
+        In other cases, one draw_idle call is enough, which is placed
+        explicitly in this class (see *onmove()*).
+        In that case, `~matplotlib.widgets.Cursor` is not supposed to draw
+        something using this method.
+        """
+
+        if self.useblit:
+            super()._update()
+
+
+fig, ax = plt.subplots(figsize=(8, 6))
+ax.set_title("Cursor Tracking x Position")
+
+x = np.linspace(-5, 5, 1000)
+y = x**2
+
+line, = ax.plot(x, y)
+ax.set_xlim(-5, 5)
+ax.set_ylim(0, 25)
+
+# A minimum call
+# Set useblit=True on most backends for enhanced performance
+# and pass the ax parameter to the Cursor base class.
+# cursor = AnnotatedCursor(line=lin[0], ax=ax, useblit=True)
+
+# A more advanced call. Properties for text and lines are passed.
+# Watch the passed color names and the color of cursor line and text, to
+# relate the passed options to graphical elements.
+# The dataaxis parameter is still the default.
+cursor = AnnotatedCursor(
+    line=line,
+    numberformat="{0:.2f}\n{1:.2f}",
+    dataaxis='x', offset=[10, 10],
+    textprops={'color': 'blue', 'fontweight': 'bold'},
+    ax=ax,
+    useblit=True,
+    color='red',
+    linewidth=2)
+
+# Simulate a mouse move to (-2, 10), needed for online docs
+t = ax.transData
+MouseEvent(
+    "motion_notify_event", ax.figure.canvas, *t.transform((-2, 10))
+)._process()
+
+plt.show()
+
+# %%
+# Trouble with non-biunique functions
+# -----------------------------------
+# A call demonstrating problems with the *dataaxis=y* parameter.
+# The text now looks up the matching x value for the current cursor y position
+# instead of vice versa. Hover your cursor to y=4. There are two x values
+# producing this y value: -2 and 2. The function is only unique,
+# but not biunique. Only one value is shown in the text.
+
+fig, ax = plt.subplots(figsize=(8, 6))
+ax.set_title("Cursor Tracking y Position")
+
+line, = ax.plot(x, y)
+ax.set_xlim(-5, 5)
+ax.set_ylim(0, 25)
+
+cursor = AnnotatedCursor(
+    line=line,
+    numberformat="{0:.2f}\n{1:.2f}",
+    dataaxis='y', offset=[10, 10],
+    textprops={'color': 'blue', 'fontweight': 'bold'},
+    ax=ax,
+    useblit=True,
+    color='red', linewidth=2)
+
+# Simulate a mouse move to (-2, 10), needed for online docs
+t = ax.transData
+MouseEvent(
+    "motion_notify_event", ax.figure.canvas, *t.transform((-2, 10))
+)._process()
+
+plt.show()
diff --git a/galleries/examples/widgets/buttons.py b/galleries/examples/widgets/buttons.py
new file mode 100644
index 000000000000..61249522c72c
--- /dev/null
+++ b/galleries/examples/widgets/buttons.py
@@ -0,0 +1,60 @@
+"""
+=======
+Buttons
+=======
+
+Constructing a simple button GUI to modify a sine wave.
+
+The ``next`` and ``previous`` button widget helps visualize the wave with
+new frequencies.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import Button
+
+freqs = np.arange(2, 20, 3)
+
+fig, ax = plt.subplots()
+fig.subplots_adjust(bottom=0.2)
+t = np.arange(0.0, 1.0, 0.001)
+s = np.sin(2*np.pi*freqs[0]*t)
+l, = ax.plot(t, s, lw=2)
+
+
+class Index:
+    ind = 0
+
+    def next(self, event):
+        self.ind += 1
+        i = self.ind % len(freqs)
+        ydata = np.sin(2*np.pi*freqs[i]*t)
+        l.set_ydata(ydata)
+        plt.draw()
+
+    def prev(self, event):
+        self.ind -= 1
+        i = self.ind % len(freqs)
+        ydata = np.sin(2*np.pi*freqs[i]*t)
+        l.set_ydata(ydata)
+        plt.draw()
+
+callback = Index()
+axprev = fig.add_axes([0.7, 0.05, 0.1, 0.075])
+axnext = fig.add_axes([0.81, 0.05, 0.1, 0.075])
+bnext = Button(axnext, 'Next')
+bnext.on_clicked(callback.next)
+bprev = Button(axprev, 'Previous')
+bprev.on_clicked(callback.prev)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.Button`
diff --git a/galleries/examples/widgets/check_buttons.py b/galleries/examples/widgets/check_buttons.py
new file mode 100644
index 000000000000..2fe1eafe29db
--- /dev/null
+++ b/galleries/examples/widgets/check_buttons.py
@@ -0,0 +1,63 @@
+"""
+=============
+Check buttons
+=============
+
+Turning visual elements on and off with check buttons.
+
+This program shows the use of `.CheckButtons` which is similar to
+check boxes. There are 3 different sine waves shown, and we can choose which
+waves are displayed with the check buttons.
+
+Check buttons may be styled using the *check_props*, *frame_props*, and *label_props*
+parameters. The parameters each take a dictionary with keys of artist property names and
+values of lists of settings with length matching the number of buttons.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import CheckButtons
+
+t = np.arange(0.0, 2.0, 0.01)
+s0 = np.sin(2*np.pi*t)
+s1 = np.sin(4*np.pi*t)
+s2 = np.sin(6*np.pi*t)
+
+fig, ax = plt.subplots()
+l0, = ax.plot(t, s0, visible=False, lw=2, color='black', label='1 Hz')
+l1, = ax.plot(t, s1, lw=2, color='red', label='2 Hz')
+l2, = ax.plot(t, s2, lw=2, color='blue', label='3 Hz')
+
+lines_by_label = {l.get_label(): l for l in [l0, l1, l2]}
+line_colors = [l.get_color() for l in lines_by_label.values()]
+
+# Make checkbuttons with all plotted lines with correct visibility
+rax = ax.inset_axes([0.0, 0.0, 0.12, 0.2])
+check = CheckButtons(
+    ax=rax,
+    labels=lines_by_label.keys(),
+    actives=[l.get_visible() for l in lines_by_label.values()],
+    label_props={'color': line_colors},
+    frame_props={'edgecolor': line_colors},
+    check_props={'facecolor': line_colors},
+)
+
+
+def callback(label):
+    ln = lines_by_label[label]
+    ln.set_visible(not ln.get_visible())
+    ln.figure.canvas.draw_idle()
+
+check.on_clicked(callback)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.CheckButtons`
diff --git a/galleries/examples/widgets/cursor.py b/galleries/examples/widgets/cursor.py
new file mode 100644
index 000000000000..af7d821fbf10
--- /dev/null
+++ b/galleries/examples/widgets/cursor.py
@@ -0,0 +1,34 @@
+"""
+======
+Cursor
+======
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import Cursor
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots(figsize=(8, 6))
+
+x, y = 4*(np.random.rand(2, 100) - .5)
+ax.plot(x, y, 'o')
+ax.set_xlim(-2, 2)
+ax.set_ylim(-2, 2)
+
+# Set useblit=True on most backends for enhanced performance.
+cursor = Cursor(ax, useblit=True, color='red', linewidth=2)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.Cursor`
diff --git a/galleries/examples/widgets/lasso_selector_demo_sgskip.py b/galleries/examples/widgets/lasso_selector_demo_sgskip.py
new file mode 100644
index 000000000000..fd2459be4f4f
--- /dev/null
+++ b/galleries/examples/widgets/lasso_selector_demo_sgskip.py
@@ -0,0 +1,111 @@
+"""
+==============
+Lasso Selector
+==============
+
+Interactively selecting data points with the lasso tool.
+
+This examples plots a scatter plot. You can then select a few points by drawing
+a lasso loop around the points on the graph. To draw, just click
+on the graph, hold, and drag it around the points you need to select.
+"""
+
+
+import numpy as np
+
+from matplotlib.path import Path
+from matplotlib.widgets import LassoSelector
+
+
+class SelectFromCollection:
+    """
+    Select indices from a matplotlib collection using `LassoSelector`.
+
+    Selected indices are saved in the `ind` attribute. This tool fades out the
+    points that are not part of the selection (i.e., reduces their alpha
+    values). If your collection has alpha < 1, this tool will permanently
+    alter the alpha values.
+
+    Note that this tool selects collection objects based on their *origins*
+    (i.e., `offsets`).
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Axes to interact with.
+    collection : `matplotlib.collections.Collection` subclass
+        Collection you want to select from.
+    alpha_other : 0 <= float <= 1
+        To highlight a selection, this tool sets all selected points to an
+        alpha value of 1 and non-selected points to *alpha_other*.
+    """
+
+    def __init__(self, ax, collection, alpha_other=0.3):
+        self.canvas = ax.figure.canvas
+        self.collection = collection
+        self.alpha_other = alpha_other
+
+        self.xys = collection.get_offsets()
+        self.Npts = len(self.xys)
+
+        # Ensure that we have separate colors for each object
+        self.fc = collection.get_facecolors()
+        if len(self.fc) == 0:
+            raise ValueError('Collection must have a facecolor')
+        elif len(self.fc) == 1:
+            self.fc = np.tile(self.fc, (self.Npts, 1))
+
+        self.lasso = LassoSelector(ax, onselect=self.onselect)
+        self.ind = []
+
+    def onselect(self, verts):
+        path = Path(verts)
+        self.ind = np.nonzero(path.contains_points(self.xys))[0]
+        self.fc[:, -1] = self.alpha_other
+        self.fc[self.ind, -1] = 1
+        self.collection.set_facecolors(self.fc)
+        self.canvas.draw_idle()
+
+    def disconnect(self):
+        self.lasso.disconnect_events()
+        self.fc[:, -1] = 1
+        self.collection.set_facecolors(self.fc)
+        self.canvas.draw_idle()
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    # Fixing random state for reproducibility
+    np.random.seed(19680801)
+
+    data = np.random.rand(100, 2)
+
+    subplot_kw = dict(xlim=(0, 1), ylim=(0, 1), autoscale_on=False)
+    fig, ax = plt.subplots(subplot_kw=subplot_kw)
+
+    pts = ax.scatter(data[:, 0], data[:, 1], s=80)
+    selector = SelectFromCollection(ax, pts)
+
+    def accept(event):
+        if event.key == "enter":
+            print("Selected points:")
+            print(selector.xys[selector.ind])
+            selector.disconnect()
+            ax.set_title("")
+            fig.canvas.draw()
+
+    fig.canvas.mpl_connect("key_press_event", accept)
+    ax.set_title("Press enter to accept selected points.")
+
+    plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.LassoSelector`
+#    - `matplotlib.path.Path`
diff --git a/galleries/examples/widgets/menu.py b/galleries/examples/widgets/menu.py
new file mode 100644
index 000000000000..e948d5e00863
--- /dev/null
+++ b/galleries/examples/widgets/menu.py
@@ -0,0 +1,142 @@
+"""
+====
+Menu
+====
+
+Using texts to construct a simple menu.
+"""
+
+from dataclasses import dataclass
+
+import matplotlib.pyplot as plt
+
+import matplotlib.artist as artist
+import matplotlib.patches as patches
+from matplotlib.typing import ColorType
+
+
+@dataclass
+class ItemProperties:
+    fontsize: float = 14
+    labelcolor: ColorType = 'black'
+    bgcolor: ColorType = 'yellow'
+    alpha: float = 1.0
+
+
+class MenuItem(artist.Artist):
+    padx = 0.05  # inches
+    pady = 0.05
+
+    def __init__(self, fig, labelstr, props=None, hoverprops=None,
+                 on_select=None):
+        super().__init__()
+
+        self.set_figure(fig)
+        self.labelstr = labelstr
+
+        self.props = props if props is not None else ItemProperties()
+        self.hoverprops = (
+            hoverprops if hoverprops is not None else ItemProperties())
+        if self.props.fontsize != self.hoverprops.fontsize:
+            raise NotImplementedError(
+                'support for different font sizes not implemented')
+
+        self.on_select = on_select
+
+        # specify coordinates in inches.
+        self.label = fig.text(0, 0, labelstr, transform=fig.dpi_scale_trans,
+                              size=props.fontsize)
+        self.text_bbox = self.label.get_window_extent(
+            fig.canvas.get_renderer())
+        self.text_bbox = fig.dpi_scale_trans.inverted().transform_bbox(self.text_bbox)
+
+        self.rect = patches.Rectangle(
+            (0, 0), 1, 1, transform=fig.dpi_scale_trans
+        )  # Will be updated later.
+
+        self.set_hover_props(False)
+
+        fig.canvas.mpl_connect('button_release_event', self.check_select)
+
+    def check_select(self, event):
+        over, _ = self.rect.contains(event)
+        if not over:
+            return
+        if self.on_select is not None:
+            self.on_select(self)
+
+    def set_extent(self, x, y, w, h, depth):
+        self.rect.set(x=x, y=y, width=w, height=h)
+        self.label.set(position=(x + self.padx, y + depth + self.pady / 2))
+        self.hover = False
+
+    def draw(self, renderer):
+        self.rect.draw(renderer)
+        self.label.draw(renderer)
+
+    def set_hover_props(self, b):
+        props = self.hoverprops if b else self.props
+        self.label.set(color=props.labelcolor)
+        self.rect.set(facecolor=props.bgcolor, alpha=props.alpha)
+
+    def set_hover(self, event):
+        """
+        Update the hover status of event and return whether it was changed.
+        """
+        b, _ = self.rect.contains(event)
+        changed = (b != self.hover)
+        if changed:
+            self.set_hover_props(b)
+        self.hover = b
+        return changed
+
+
+class Menu:
+    def __init__(self, fig, menuitems):
+        self.figure = fig
+
+        self.menuitems = menuitems
+
+        maxw = max(item.text_bbox.width for item in menuitems)
+        maxh = max(item.text_bbox.height for item in menuitems)
+        depth = max(-item.text_bbox.y0 for item in menuitems)
+
+        x0 = 1
+        y0 = 4
+
+        width = maxw + 2 * MenuItem.padx
+        height = maxh + MenuItem.pady
+
+        for item in menuitems:
+            left = x0
+            bottom = y0 - maxh - MenuItem.pady
+
+            item.set_extent(left, bottom, width, height, depth)
+
+            fig.artists.append(item)
+            y0 -= maxh + MenuItem.pady
+
+        fig.canvas.mpl_connect('motion_notify_event', self.on_move)
+
+    def on_move(self, event):
+        if any(item.set_hover(event) for item in self.menuitems):
+            self.figure.canvas.draw()
+
+
+fig = plt.figure()
+fig.subplots_adjust(left=0.3)
+props = ItemProperties(labelcolor='black', bgcolor='yellow',
+                       fontsize=15, alpha=0.2)
+hoverprops = ItemProperties(labelcolor='white', bgcolor='blue',
+                            fontsize=15, alpha=0.2)
+
+menuitems = []
+for label in ('open', 'close', 'save', 'save as', 'quit'):
+    def on_select(item):
+        print(f'you selected {item.labelstr}')
+    item = MenuItem(fig, label, props=props, hoverprops=hoverprops,
+                    on_select=on_select)
+    menuitems.append(item)
+
+menu = Menu(fig, menuitems)
+plt.show()
diff --git a/galleries/examples/widgets/mouse_cursor.py b/galleries/examples/widgets/mouse_cursor.py
new file mode 100644
index 000000000000..2ac1b10dac58
--- /dev/null
+++ b/galleries/examples/widgets/mouse_cursor.py
@@ -0,0 +1,46 @@
+"""
+============
+Mouse Cursor
+============
+
+This example sets an alternative cursor on a figure canvas.
+
+Note, this is an interactive example, and must be run to see the effect.
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.backend_tools import Cursors
+
+fig, axs = plt.subplots(len(Cursors), figsize=(6, len(Cursors) + 0.5),
+                        gridspec_kw={'hspace': 0})
+fig.suptitle('Hover over an Axes to see alternate Cursors')
+
+for cursor, ax in zip(Cursors, axs):
+    ax.cursor_to_use = cursor
+    ax.text(0.5, 0.5, cursor.name,
+            horizontalalignment='center', verticalalignment='center')
+    ax.set(xticks=[], yticks=[])
+
+
+def hover(event):
+    if fig.canvas.widgetlock.locked():
+        # Don't do anything if the zoom/pan tools have been enabled.
+        return
+
+    fig.canvas.set_cursor(
+        event.inaxes.cursor_to_use if event.inaxes else Cursors.POINTER)
+
+
+fig.canvas.mpl_connect('motion_notify_event', hover)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.backend_bases.FigureCanvasBase.set_cursor`
diff --git a/galleries/examples/widgets/multicursor.py b/galleries/examples/widgets/multicursor.py
new file mode 100644
index 000000000000..bc0d58b6c749
--- /dev/null
+++ b/galleries/examples/widgets/multicursor.py
@@ -0,0 +1,39 @@
+"""
+===========
+Multicursor
+===========
+
+Showing a cursor on multiple plots simultaneously.
+
+This example generates three Axes split over two different figures.  On
+hovering the cursor over data in one subplot, the values of that datapoint are
+shown in all Axes.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import MultiCursor
+
+t = np.arange(0.0, 2.0, 0.01)
+s1 = np.sin(2*np.pi*t)
+s2 = np.sin(3*np.pi*t)
+s3 = np.sin(4*np.pi*t)
+
+fig, (ax1, ax2) = plt.subplots(2, sharex=True)
+ax1.plot(t, s1)
+ax2.plot(t, s2)
+fig, ax3 = plt.subplots()
+ax3.plot(t, s3)
+
+multi = MultiCursor(None, (ax1, ax2, ax3), color='r', lw=1)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.MultiCursor`
diff --git a/galleries/examples/widgets/polygon_selector_demo.py b/galleries/examples/widgets/polygon_selector_demo.py
new file mode 100644
index 000000000000..7efd1429d094
--- /dev/null
+++ b/galleries/examples/widgets/polygon_selector_demo.py
@@ -0,0 +1,103 @@
+"""
+=======================================================
+Select indices from a collection using polygon selector
+=======================================================
+
+Shows how one can select indices of a polygon interactively.
+"""
+
+import numpy as np
+
+from matplotlib.path import Path
+from matplotlib.widgets import PolygonSelector
+
+
+class SelectFromCollection:
+    """
+    Select indices from a matplotlib collection using `PolygonSelector`.
+
+    Selected indices are saved in the `ind` attribute. This tool fades out the
+    points that are not part of the selection (i.e., reduces their alpha
+    values). If your collection has alpha < 1, this tool will permanently
+    alter the alpha values.
+
+    Note that this tool selects collection objects based on their *origins*
+    (i.e., `offsets`).
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Axes to interact with.
+    collection : `matplotlib.collections.Collection` subclass
+        Collection you want to select from.
+    alpha_other : 0 <= float <= 1
+        To highlight a selection, this tool sets all selected points to an
+        alpha value of 1 and non-selected points to *alpha_other*.
+    """
+
+    def __init__(self, ax, collection, alpha_other=0.3):
+        self.canvas = ax.figure.canvas
+        self.collection = collection
+        self.alpha_other = alpha_other
+
+        self.xys = collection.get_offsets()
+        self.Npts = len(self.xys)
+
+        # Ensure that we have separate colors for each object
+        self.fc = collection.get_facecolors()
+        if len(self.fc) == 0:
+            raise ValueError('Collection must have a facecolor')
+        elif len(self.fc) == 1:
+            self.fc = np.tile(self.fc, (self.Npts, 1))
+
+        self.poly = PolygonSelector(ax, self.onselect, draw_bounding_box=True)
+        self.ind = []
+
+    def onselect(self, verts):
+        path = Path(verts)
+        self.ind = np.nonzero(path.contains_points(self.xys))[0]
+        self.fc[:, -1] = self.alpha_other
+        self.fc[self.ind, -1] = 1
+        self.collection.set_facecolors(self.fc)
+        self.canvas.draw_idle()
+
+    def disconnect(self):
+        self.poly.disconnect_events()
+        self.fc[:, -1] = 1
+        self.collection.set_facecolors(self.fc)
+        self.canvas.draw_idle()
+
+
+if __name__ == '__main__':
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+    grid_size = 5
+    grid_x = np.tile(np.arange(grid_size), grid_size)
+    grid_y = np.repeat(np.arange(grid_size), grid_size)
+    pts = ax.scatter(grid_x, grid_y)
+
+    selector = SelectFromCollection(ax, pts)
+
+    print("Select points in the figure by enclosing them within a polygon.")
+    print("Press the 'esc' key to start a new polygon.")
+    print("Try holding the 'shift' key to move all of the vertices.")
+    print("Try holding the 'ctrl' key to move a single vertex.")
+
+    plt.show()
+
+    selector.disconnect()
+
+    # After figure is closed print the coordinates of the selected points
+    print('\nSelected points:')
+    print(selector.xys[selector.ind])
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.PolygonSelector`
+#    - `matplotlib.path.Path`
diff --git a/galleries/examples/widgets/polygon_selector_simple.py b/galleries/examples/widgets/polygon_selector_simple.py
new file mode 100644
index 000000000000..e344da7e0645
--- /dev/null
+++ b/galleries/examples/widgets/polygon_selector_simple.py
@@ -0,0 +1,56 @@
+"""
+================
+Polygon Selector
+================
+
+Shows how to create a polygon programmatically or interactively
+"""
+
+import matplotlib.pyplot as plt
+
+from matplotlib.widgets import PolygonSelector
+
+# %%
+#
+# To create the polygon programmatically
+fig, ax = plt.subplots()
+fig.show()
+
+selector = PolygonSelector(ax, lambda *args: None)
+
+# Add three vertices
+selector.verts = [(0.1, 0.4), (0.5, 0.9), (0.3, 0.2)]
+
+
+# %%
+#
+# To create the polygon interactively
+
+fig2, ax2 = plt.subplots()
+fig2.show()
+
+selector2 = PolygonSelector(ax2, lambda *args: None)
+
+print("Click on the figure to create a polygon.")
+print("Press the 'esc' key to start a new polygon.")
+print("Try holding the 'shift' key to move all of the vertices.")
+print("Try holding the 'ctrl' key to move a single vertex.")
+
+
+# %%
+# .. tags::
+#
+#    component: axes,
+#    styling: position,
+#    plot-type: line,
+#    level: intermediate,
+#    domain: cartography,
+#    domain: geometry,
+#    domain: statistics,
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.PolygonSelector`
diff --git a/galleries/examples/widgets/radio_buttons.py b/galleries/examples/widgets/radio_buttons.py
new file mode 100644
index 000000000000..b2d7f8396576
--- /dev/null
+++ b/galleries/examples/widgets/radio_buttons.py
@@ -0,0 +1,86 @@
+"""
+=============
+Radio Buttons
+=============
+
+Using radio buttons to choose properties of your plot.
+
+Radio buttons let you choose between multiple options in a visualization.
+In this case, the buttons let the user choose one of the three different sine
+waves to be shown in the plot.
+
+Radio buttons may be styled using the *label_props* and *radio_props* parameters, which
+each take a dictionary with keys of artist property names and values of lists of
+settings with length matching the number of buttons.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import RadioButtons
+
+t = np.arange(0.0, 2.0, 0.01)
+s0 = np.sin(2*np.pi*t)
+s1 = np.sin(4*np.pi*t)
+s2 = np.sin(8*np.pi*t)
+
+fig, ax = plt.subplot_mosaic(
+    [
+        ['main', 'freq'],
+        ['main', 'color'],
+        ['main', 'linestyle'],
+    ],
+    width_ratios=[5, 1],
+    layout='constrained',
+)
+l, = ax['main'].plot(t, s0, lw=2, color='red')
+
+radio_background = 'lightgoldenrodyellow'
+
+ax['freq'].set_facecolor(radio_background)
+radio = RadioButtons(ax['freq'], ('1 Hz', '2 Hz', '4 Hz'),
+                     label_props={'color': 'cmy', 'fontsize': [12, 14, 16]},
+                     radio_props={'s': [16, 32, 64]})
+
+
+def hzfunc(label):
+    hzdict = {'1 Hz': s0, '2 Hz': s1, '4 Hz': s2}
+    ydata = hzdict[label]
+    l.set_ydata(ydata)
+    fig.canvas.draw()
+radio.on_clicked(hzfunc)
+
+ax['color'].set_facecolor(radio_background)
+radio2 = RadioButtons(
+    ax['color'], ('red', 'blue', 'green'),
+    label_props={'color': ['red', 'blue', 'green']},
+    radio_props={
+        'facecolor': ['red', 'blue', 'green'],
+        'edgecolor': ['darkred', 'darkblue', 'darkgreen'],
+    })
+
+
+def colorfunc(label):
+    l.set_color(label)
+    fig.canvas.draw()
+radio2.on_clicked(colorfunc)
+
+ax['linestyle'].set_facecolor(radio_background)
+radio3 = RadioButtons(ax['linestyle'], ('-', '--', '-.', ':'))
+
+
+def stylefunc(label):
+    l.set_linestyle(label)
+    fig.canvas.draw()
+radio3.on_clicked(stylefunc)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.RadioButtons`
diff --git a/galleries/examples/widgets/range_slider.py b/galleries/examples/widgets/range_slider.py
new file mode 100644
index 000000000000..f1bed7431e39
--- /dev/null
+++ b/galleries/examples/widgets/range_slider.py
@@ -0,0 +1,71 @@
+"""
+=================================
+Image scaling using a RangeSlider
+=================================
+
+Using the RangeSlider widget to control the thresholding of an image.
+
+The RangeSlider widget can be used similarly to the `.widgets.Slider`
+widget. The major difference is that RangeSlider's ``val`` attribute
+is a tuple of floats ``(lower val, upper val)`` rather than a single float.
+
+See :doc:`/gallery/widgets/slider_demo` for an example of using
+a ``Slider`` to control a single float.
+
+See :doc:`/gallery/widgets/slider_snap_demo` for an example of having
+the ``Slider`` snap to discrete values.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import RangeSlider
+
+# generate a fake image
+np.random.seed(19680801)
+N = 128
+img = np.random.randn(N, N)
+
+fig, axs = plt.subplots(1, 2, figsize=(10, 5))
+fig.subplots_adjust(bottom=0.25)
+
+im = axs[0].imshow(img)
+axs[1].hist(img.flatten(), bins='auto')
+axs[1].set_title('Histogram of pixel intensities')
+
+# Create the RangeSlider
+slider_ax = fig.add_axes([0.20, 0.1, 0.60, 0.03])
+slider = RangeSlider(slider_ax, "Threshold", img.min(), img.max())
+
+# Create the Vertical lines on the histogram
+lower_limit_line = axs[1].axvline(slider.val[0], color='k')
+upper_limit_line = axs[1].axvline(slider.val[1], color='k')
+
+
+def update(val):
+    # The val passed to a callback by the RangeSlider will
+    # be a tuple of (min, max)
+
+    # Update the image's colormap
+    im.norm.vmin = val[0]
+    im.norm.vmax = val[1]
+
+    # Update the position of the vertical lines
+    lower_limit_line.set_xdata([val[0], val[0]])
+    upper_limit_line.set_xdata([val[1], val[1]])
+
+    # Redraw the figure to ensure it updates
+    fig.canvas.draw_idle()
+
+
+slider.on_changed(update)
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.RangeSlider`
diff --git a/galleries/examples/widgets/rectangle_selector.py b/galleries/examples/widgets/rectangle_selector.py
new file mode 100644
index 000000000000..012d52d89a9e
--- /dev/null
+++ b/galleries/examples/widgets/rectangle_selector.py
@@ -0,0 +1,74 @@
+"""
+===============================
+Rectangle and ellipse selectors
+===============================
+
+Click somewhere, move the mouse, and release the mouse button.
+`.RectangleSelector` and `.EllipseSelector` draw a rectangle or an ellipse
+from the initial click position to the current mouse position (within the same
+axes) until the button is released.  A connected callback receives the click-
+and release-events.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import EllipseSelector, RectangleSelector
+
+
+def select_callback(eclick, erelease):
+    """
+    Callback for line selection.
+
+    *eclick* and *erelease* are the press and release events.
+    """
+    x1, y1 = eclick.xdata, eclick.ydata
+    x2, y2 = erelease.xdata, erelease.ydata
+    print(f"({x1:3.2f}, {y1:3.2f}) --> ({x2:3.2f}, {y2:3.2f})")
+    print(f"The buttons you used were: {eclick.button} {erelease.button}")
+
+
+def toggle_selector(event):
+    print('Key pressed.')
+    if event.key == 't':
+        for selector in selectors:
+            name = type(selector).__name__
+            if selector.active:
+                print(f'{name} deactivated.')
+                selector.set_active(False)
+            else:
+                print(f'{name} activated.')
+                selector.set_active(True)
+
+
+fig = plt.figure(layout='constrained')
+axs = fig.subplots(2)
+
+N = 100000  # If N is large one can see improvement by using blitting.
+x = np.linspace(0, 10, N)
+
+selectors = []
+for ax, selector_class in zip(axs, [RectangleSelector, EllipseSelector]):
+    ax.plot(x, np.sin(2*np.pi*x))  # plot something
+    ax.set_title(f"Click and drag to draw a {selector_class.__name__}.")
+    selectors.append(selector_class(
+        ax, select_callback,
+        useblit=True,
+        button=[1, 3],  # disable middle button
+        minspanx=5, minspany=5,
+        spancoords='pixels',
+        interactive=True))
+    fig.canvas.mpl_connect('key_press_event', toggle_selector)
+axs[0].set_title("Press 't' to toggle the selectors on and off.\n"
+                 + axs[0].get_title())
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.RectangleSelector`
+#    - `matplotlib.widgets.EllipseSelector`
diff --git a/galleries/examples/widgets/slider_demo.py b/galleries/examples/widgets/slider_demo.py
new file mode 100644
index 000000000000..7dc47b9c7b6f
--- /dev/null
+++ b/galleries/examples/widgets/slider_demo.py
@@ -0,0 +1,92 @@
+"""
+======
+Slider
+======
+
+In this example, sliders are used to control the frequency and amplitude of
+a sine wave.
+
+See :doc:`/gallery/widgets/slider_snap_demo` for an example of having
+the ``Slider`` snap to discrete values.
+
+See :doc:`/gallery/widgets/range_slider` for an example of using
+a ``RangeSlider`` to define a range of values.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import Button, Slider
+
+
+# The parametrized function to be plotted
+def f(t, amplitude, frequency):
+    return amplitude * np.sin(2 * np.pi * frequency * t)
+
+t = np.linspace(0, 1, 1000)
+
+# Define initial parameters
+init_amplitude = 5
+init_frequency = 3
+
+# Create the figure and the line that we will manipulate
+fig, ax = plt.subplots()
+line, = ax.plot(t, f(t, init_amplitude, init_frequency), lw=2)
+ax.set_xlabel('Time [s]')
+
+# adjust the main plot to make room for the sliders
+fig.subplots_adjust(left=0.25, bottom=0.25)
+
+# Make a horizontal slider to control the frequency.
+axfreq = fig.add_axes([0.25, 0.1, 0.65, 0.03])
+freq_slider = Slider(
+    ax=axfreq,
+    label='Frequency [Hz]',
+    valmin=0.1,
+    valmax=30,
+    valinit=init_frequency,
+)
+
+# Make a vertically oriented slider to control the amplitude
+axamp = fig.add_axes([0.1, 0.25, 0.0225, 0.63])
+amp_slider = Slider(
+    ax=axamp,
+    label="Amplitude",
+    valmin=0,
+    valmax=10,
+    valinit=init_amplitude,
+    orientation="vertical"
+)
+
+
+# The function to be called anytime a slider's value changes
+def update(val):
+    line.set_ydata(f(t, amp_slider.val, freq_slider.val))
+    fig.canvas.draw_idle()
+
+
+# register the update function with each slider
+freq_slider.on_changed(update)
+amp_slider.on_changed(update)
+
+# Create a `matplotlib.widgets.Button` to reset the sliders to initial values.
+resetax = fig.add_axes([0.8, 0.025, 0.1, 0.04])
+button = Button(resetax, 'Reset', hovercolor='0.975')
+
+
+def reset(event):
+    freq_slider.reset()
+    amp_slider.reset()
+button.on_clicked(reset)
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.Button`
+#    - `matplotlib.widgets.Slider`
diff --git a/galleries/examples/widgets/slider_snap_demo.py b/galleries/examples/widgets/slider_snap_demo.py
new file mode 100644
index 000000000000..953ffaf63672
--- /dev/null
+++ b/galleries/examples/widgets/slider_snap_demo.py
@@ -0,0 +1,83 @@
+"""
+===============================
+Snap sliders to discrete values
+===============================
+
+You can snap slider values to discrete values using the ``valstep`` argument.
+
+In this example the Freq slider is constrained to be multiples of pi, and the
+Amp slider uses an array as the ``valstep`` argument to more densely sample
+the first part of its range.
+
+See :doc:`/gallery/widgets/slider_demo` for an example of using
+a ``Slider`` to control a single float.
+
+See :doc:`/gallery/widgets/range_slider` for an example of using
+a ``RangeSlider`` to define a range of values.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import Button, Slider
+
+t = np.arange(0.0, 1.0, 0.001)
+a0 = 5
+f0 = 3
+s = a0 * np.sin(2 * np.pi * f0 * t)
+
+fig, ax = plt.subplots()
+fig.subplots_adjust(bottom=0.25)
+l, = ax.plot(t, s, lw=2)
+
+ax_freq = fig.add_axes([0.25, 0.1, 0.65, 0.03])
+ax_amp = fig.add_axes([0.25, 0.15, 0.65, 0.03])
+
+# define the values to use for snapping
+allowed_amplitudes = np.concatenate([np.linspace(.1, 5, 100), [6, 7, 8, 9]])
+
+# create the sliders
+samp = Slider(
+    ax_amp, "Amp", 0.1, 9.0,
+    valinit=a0, valstep=allowed_amplitudes,
+    color="green"
+)
+
+sfreq = Slider(
+    ax_freq, "Freq", 0, 10*np.pi,
+    valinit=2*np.pi, valstep=np.pi,
+    initcolor='none'  # Remove the line marking the valinit position.
+)
+
+
+def update(val):
+    amp = samp.val
+    freq = sfreq.val
+    l.set_ydata(amp*np.sin(2*np.pi*freq*t))
+    fig.canvas.draw_idle()
+
+
+sfreq.on_changed(update)
+samp.on_changed(update)
+
+ax_reset = fig.add_axes([0.8, 0.025, 0.1, 0.04])
+button = Button(ax_reset, 'Reset', hovercolor='0.975')
+
+
+def reset(event):
+    sfreq.reset()
+    samp.reset()
+button.on_clicked(reset)
+
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.Slider`
+#    - `matplotlib.widgets.Button`
diff --git a/galleries/examples/widgets/span_selector.py b/galleries/examples/widgets/span_selector.py
new file mode 100644
index 000000000000..2fe1646948f8
--- /dev/null
+++ b/galleries/examples/widgets/span_selector.py
@@ -0,0 +1,74 @@
+"""
+=============
+Span Selector
+=============
+
+The `.SpanSelector` is a mouse widget that enables selecting a range on an
+axis.
+
+Here, an x-range can be selected on the upper axis; a detailed view of the
+selected range is then plotted on the lower axis.
+
+.. note::
+
+    If the SpanSelector object is garbage collected you will lose the
+    interactivity.  You must keep a hard reference to it to prevent this.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import SpanSelector
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, (ax1, ax2) = plt.subplots(2, figsize=(8, 6))
+
+x = np.arange(0.0, 5.0, 0.01)
+y = np.sin(2 * np.pi * x) + 0.5 * np.random.randn(len(x))
+
+ax1.plot(x, y)
+ax1.set_ylim(-2, 2)
+ax1.set_title('Press left mouse button and drag '
+              'to select a region in the top graph')
+
+line2, = ax2.plot([], [])
+
+
+def onselect(xmin, xmax):
+    indmin, indmax = np.searchsorted(x, (xmin, xmax))
+    indmax = min(len(x) - 1, indmax)
+
+    region_x = x[indmin:indmax]
+    region_y = y[indmin:indmax]
+
+    if len(region_x) >= 2:
+        line2.set_data(region_x, region_y)
+        ax2.set_xlim(region_x[0], region_x[-1])
+        ax2.set_ylim(region_y.min(), region_y.max())
+        fig.canvas.draw_idle()
+
+
+span = SpanSelector(
+    ax1,
+    onselect,
+    "horizontal",
+    useblit=True,
+    props=dict(alpha=0.5, facecolor="tab:blue"),
+    interactive=True,
+    drag_from_anywhere=True
+)
+# Set useblit=True on most backends for enhanced performance.
+
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.SpanSelector`
diff --git a/galleries/examples/widgets/textbox.py b/galleries/examples/widgets/textbox.py
new file mode 100644
index 000000000000..d5f02b82a30b
--- /dev/null
+++ b/galleries/examples/widgets/textbox.py
@@ -0,0 +1,56 @@
+"""
+=======
+Textbox
+=======
+
+The Textbox widget lets users interactively provide text input, including
+formulas. In this example, the plot is updated using the `.on_submit` method.
+This method triggers the execution of the *submit* function when the
+user presses enter in the textbox or leaves the textbox.
+
+Note:  The `matplotlib.widgets.TextBox` widget is different from the following
+static elements: :ref:`annotations` and
+:doc:`/gallery/text_labels_and_annotations/placing_text_boxes`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.widgets import TextBox
+
+fig, ax = plt.subplots()
+fig.subplots_adjust(bottom=0.2)
+
+t = np.arange(-2.0, 2.0, 0.001)
+l, = ax.plot(t, np.zeros_like(t), lw=2)
+
+
+def submit(expression):
+    """
+    Update the plotted function to the new math *expression*.
+
+    *expression* is a string using "t" as its independent variable, e.g.
+    "t ** 3".
+    """
+    ydata = eval(expression, {'np': np}, {'t': t})
+    l.set_ydata(ydata)
+    ax.relim()
+    ax.autoscale_view()
+    plt.draw()
+
+
+axbox = fig.add_axes([0.1, 0.05, 0.8, 0.075])
+text_box = TextBox(axbox, "Evaluate", textalignment="center")
+text_box.on_submit(submit)
+text_box.set_val("t ** 2")  # Trigger `submit` with the initial string.
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.widgets.TextBox`
diff --git a/galleries/plot_types/3D/README.rst b/galleries/plot_types/3D/README.rst
new file mode 100644
index 000000000000..61b2729dfb8f
--- /dev/null
+++ b/galleries/plot_types/3D/README.rst
@@ -0,0 +1,7 @@
+.. _3D_plots:
+
+3D and volumetric data
+----------------------
+
+Plots of three-dimensional :math:`(x,y,z)`, surface :math:`f(x,y)=z`, and
+volumetric :math:`V_{x, y, z}` data using the `mpl_toolkits.mplot3d` library.
diff --git a/galleries/plot_types/3D/bar3d_simple.py b/galleries/plot_types/3D/bar3d_simple.py
new file mode 100644
index 000000000000..aa75560de8f2
--- /dev/null
+++ b/galleries/plot_types/3D/bar3d_simple.py
@@ -0,0 +1,29 @@
+"""
+==========================
+bar3d(x, y, z, dx, dy, dz)
+==========================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.bar3d`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+x = [1, 1, 2, 2]
+y = [1, 2, 1, 2]
+z = [0, 0, 0, 0]
+dx = np.ones_like(x)*0.5
+dy = np.ones_like(x)*0.5
+dz = [2, 3, 1, 4]
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.bar3d(x, y, z, dx, dy, dz)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/fill_between3d_simple.py b/galleries/plot_types/3D/fill_between3d_simple.py
new file mode 100644
index 000000000000..f12fbbb5e958
--- /dev/null
+++ b/galleries/plot_types/3D/fill_between3d_simple.py
@@ -0,0 +1,33 @@
+"""
+====================================
+fill_between(x1, y1, z1, x2, y2, z2)
+====================================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.fill_between`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data for a double helix
+n = 50
+theta = np.linspace(0, 2*np.pi, n)
+x1 = np.cos(theta)
+y1 = np.sin(theta)
+z1 = np.linspace(0, 1, n)
+x2 = np.cos(theta + np.pi)
+y2 = np.sin(theta + np.pi)
+z2 = z1
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.fill_between(x1, y1, z1, x2, y2, z2, alpha=0.5)
+ax.plot(x1, y1, z1, linewidth=2, color='C0')
+ax.plot(x2, y2, z2, linewidth=2, color='C0')
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/plot3d_simple.py b/galleries/plot_types/3D/plot3d_simple.py
new file mode 100644
index 000000000000..108dbecfbd87
--- /dev/null
+++ b/galleries/plot_types/3D/plot3d_simple.py
@@ -0,0 +1,27 @@
+"""
+================
+plot(xs, ys, zs)
+================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+n = 100
+xs = np.linspace(0, 1, n)
+ys = np.sin(xs * 6 * np.pi)
+zs = np.cos(xs * 6 * np.pi)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.plot(xs, ys, zs)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/quiver3d_simple.py b/galleries/plot_types/3D/quiver3d_simple.py
new file mode 100644
index 000000000000..6f4aaa9cad90
--- /dev/null
+++ b/galleries/plot_types/3D/quiver3d_simple.py
@@ -0,0 +1,32 @@
+"""
+========================
+quiver(X, Y, Z, U, V, W)
+========================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.quiver`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+n = 4
+x = np.linspace(-1, 1, n)
+y = np.linspace(-1, 1, n)
+z = np.linspace(-1, 1, n)
+X, Y, Z = np.meshgrid(x, y, z)
+U = (X + Y)/5
+V = (Y - X)/5
+W = Z*0
+
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.quiver(X, Y, Z, U, V, W)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/scatter3d_simple.py b/galleries/plot_types/3D/scatter3d_simple.py
new file mode 100644
index 000000000000..27ffb6abf748
--- /dev/null
+++ b/galleries/plot_types/3D/scatter3d_simple.py
@@ -0,0 +1,29 @@
+"""
+===================
+scatter(xs, ys, zs)
+===================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.scatter`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+np.random.seed(19680801)
+n = 100
+rng = np.random.default_rng()
+xs = rng.uniform(23, 32, n)
+ys = rng.uniform(0, 100, n)
+zs = rng.uniform(-50, -25, n)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.scatter(xs, ys, zs)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/stem3d.py b/galleries/plot_types/3D/stem3d.py
new file mode 100644
index 000000000000..50aa80146bdc
--- /dev/null
+++ b/galleries/plot_types/3D/stem3d.py
@@ -0,0 +1,27 @@
+"""
+=============
+stem(x, y, z)
+=============
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.stem`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+n = 20
+x = np.sin(np.linspace(0, 2*np.pi, n))
+y = np.cos(np.linspace(0, 2*np.pi, n))
+z = np.linspace(0, 1, n)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.stem(x, y, z)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/surface3d_simple.py b/galleries/plot_types/3D/surface3d_simple.py
new file mode 100644
index 000000000000..c887b042da94
--- /dev/null
+++ b/galleries/plot_types/3D/surface3d_simple.py
@@ -0,0 +1,28 @@
+"""
+=====================
+plot_surface(X, Y, Z)
+=====================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_surface`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+# Plot the surface
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.plot_surface(X, Y, Z, vmin=Z.min() * 2, cmap="Blues")
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/trisurf3d_simple.py b/galleries/plot_types/3D/trisurf3d_simple.py
new file mode 100644
index 000000000000..f5252699ac23
--- /dev/null
+++ b/galleries/plot_types/3D/trisurf3d_simple.py
@@ -0,0 +1,33 @@
+"""
+=====================
+plot_trisurf(x, y, z)
+=====================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+n_radii = 8
+n_angles = 36
+
+# Make radii and angles spaces
+radii = np.linspace(0.125, 1.0, n_radii)
+angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)[..., np.newaxis]
+
+# Convert polar (radii, angles) coords to cartesian (x, y) coords.
+x = np.append(0, (radii*np.cos(angles)).flatten())
+y = np.append(0, (radii*np.sin(angles)).flatten())
+z = np.sin(-x*y)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
+ax.plot_trisurf(x, y, z, vmin=z.min() * 2, cmap="Blues")
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/voxels_simple.py b/galleries/plot_types/3D/voxels_simple.py
new file mode 100644
index 000000000000..05ce238b0935
--- /dev/null
+++ b/galleries/plot_types/3D/voxels_simple.py
@@ -0,0 +1,31 @@
+"""
+=========================
+voxels([x, y, z], filled)
+=========================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.voxels`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Prepare some coordinates
+x, y, z = np.indices((8, 8, 8))
+
+# Draw cuboids in the top left and bottom right corners
+cube1 = (x < 3) & (y < 3) & (z < 3)
+cube2 = (x >= 5) & (y >= 5) & (z >= 5)
+
+# Combine the objects into a single boolean array
+voxelarray = cube1 | cube2
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.voxels(voxelarray, edgecolor='k')
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/3D/wire3d_simple.py b/galleries/plot_types/3D/wire3d_simple.py
new file mode 100644
index 000000000000..1ab847f3ecf4
--- /dev/null
+++ b/galleries/plot_types/3D/wire3d_simple.py
@@ -0,0 +1,25 @@
+"""
+=======================
+plot_wireframe(X, Y, Z)
+=======================
+
+See `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_wireframe`.
+"""
+import matplotlib.pyplot as plt
+
+from mpl_toolkits.mplot3d import axes3d
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+X, Y, Z = axes3d.get_test_data(0.05)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
diff --git a/galleries/plot_types/README.rst b/galleries/plot_types/README.rst
new file mode 100644
index 000000000000..0bcbb3b804d7
--- /dev/null
+++ b/galleries/plot_types/README.rst
@@ -0,0 +1,11 @@
+.. _plot_types:
+
+.. redirect-from:: /tutorials/basic/sample_plots
+
+Plot types
+==========
+
+Overview of many common plotting commands provided by Matplotlib.
+
+See the `gallery <../gallery/index.html>`_ for more examples and
+the `tutorials page <../tutorials/index.html>`_ for longer examples.
diff --git a/galleries/plot_types/arrays/README.rst b/galleries/plot_types/arrays/README.rst
new file mode 100644
index 000000000000..aba457a69940
--- /dev/null
+++ b/galleries/plot_types/arrays/README.rst
@@ -0,0 +1,8 @@
+.. _array_plots:
+
+Gridded data
+------------
+
+Plots of arrays and images :math:`Z_{i, j}` and fields :math:`U_{i, j}, V_{i, j}`
+on `regular grids <https://en.wikipedia.org/wiki/Regular_grid>`_ and
+corresponding coordinate grids :math:`X_{i,j}, Y_{i,j}`.
diff --git a/galleries/plot_types/arrays/barbs.py b/galleries/plot_types/arrays/barbs.py
new file mode 100644
index 000000000000..b007d9b875b8
--- /dev/null
+++ b/galleries/plot_types/arrays/barbs.py
@@ -0,0 +1,34 @@
+"""
+=================
+barbs(X, Y, U, V)
+=================
+Plot a 2D field of wind barbs.
+
+See `~matplotlib.axes.Axes.barbs`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+X, Y = np.meshgrid([1, 2, 3, 4], [1, 2, 3, 4])
+angle = np.pi / 180 * np.array([[15., 30, 35, 45],
+                                [25., 40, 55, 60],
+                                [35., 50, 65, 75],
+                                [45., 60, 75, 90]])
+amplitude = np.array([[5, 10, 25, 50],
+                      [10, 15, 30, 60],
+                      [15, 26, 50, 70],
+                      [20, 45, 80, 100]])
+U = amplitude * np.sin(angle)
+V = amplitude * np.cos(angle)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.barbs(X, Y, U, V, barbcolor='C0', flagcolor='C0', length=7, linewidth=1.5)
+
+ax.set(xlim=(0, 4.5), ylim=(0, 4.5))
+
+plt.show()
diff --git a/galleries/plot_types/arrays/contour.py b/galleries/plot_types/arrays/contour.py
new file mode 100644
index 000000000000..1bf8d71d482b
--- /dev/null
+++ b/galleries/plot_types/arrays/contour.py
@@ -0,0 +1,24 @@
+"""
+================
+contour(X, Y, Z)
+================
+Plot contour lines.
+
+See `~matplotlib.axes.Axes.contour`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data
+X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+levels = np.linspace(np.min(Z), np.max(Z), 7)
+
+# plot
+fig, ax = plt.subplots()
+
+ax.contour(X, Y, Z, levels=levels)
+
+plt.show()
diff --git a/galleries/plot_types/arrays/contourf.py b/galleries/plot_types/arrays/contourf.py
new file mode 100644
index 000000000000..c25afe0bfa77
--- /dev/null
+++ b/galleries/plot_types/arrays/contourf.py
@@ -0,0 +1,24 @@
+"""
+=================
+contourf(X, Y, Z)
+=================
+Plot filled contours.
+
+See `~matplotlib.axes.Axes.contourf`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data
+X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+levels = np.linspace(Z.min(), Z.max(), 7)
+
+# plot
+fig, ax = plt.subplots()
+
+ax.contourf(X, Y, Z, levels=levels)
+
+plt.show()
diff --git a/galleries/plot_types/arrays/imshow.py b/galleries/plot_types/arrays/imshow.py
new file mode 100644
index 000000000000..b2920e7fd80c
--- /dev/null
+++ b/galleries/plot_types/arrays/imshow.py
@@ -0,0 +1,24 @@
+"""
+=========
+imshow(Z)
+=========
+Display data as an image, i.e., on a 2D regular raster.
+
+See `~matplotlib.axes.Axes.imshow`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data
+X, Y = np.meshgrid(np.linspace(-3, 3, 16), np.linspace(-3, 3, 16))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+
+# plot
+fig, ax = plt.subplots()
+
+ax.imshow(Z, origin='lower')
+
+plt.show()
diff --git a/galleries/plot_types/arrays/pcolormesh.py b/galleries/plot_types/arrays/pcolormesh.py
new file mode 100644
index 000000000000..4f0913f62521
--- /dev/null
+++ b/galleries/plot_types/arrays/pcolormesh.py
@@ -0,0 +1,26 @@
+"""
+===================
+pcolormesh(X, Y, Z)
+===================
+Create a pseudocolor plot with a non-regular rectangular grid.
+
+`~.axes.Axes.pcolormesh` is more flexible than `~.axes.Axes.imshow` in that
+the x and y vectors need not be equally spaced (indeed they can be skewed).
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data with uneven sampling in x
+x = [-3, -2, -1.6, -1.2, -.8, -.5, -.2, .1, .3, .5, .8, 1.1, 1.5, 1.9, 2.3, 3]
+X, Y = np.meshgrid(x, np.linspace(-3, 3, 128))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+
+# plot
+fig, ax = plt.subplots()
+
+ax.pcolormesh(X, Y, Z, vmin=-0.5, vmax=1.0)
+
+plt.show()
diff --git a/galleries/plot_types/arrays/quiver.py b/galleries/plot_types/arrays/quiver.py
new file mode 100644
index 000000000000..4b1cbd03759c
--- /dev/null
+++ b/galleries/plot_types/arrays/quiver.py
@@ -0,0 +1,29 @@
+"""
+==================
+quiver(X, Y, U, V)
+==================
+Plot a 2D field of arrows.
+
+See `~matplotlib.axes.Axes.quiver`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data
+x = np.linspace(-4, 4, 6)
+y = np.linspace(-4, 4, 6)
+X, Y = np.meshgrid(x, y)
+U = X + Y
+V = Y - X
+
+# plot
+fig, ax = plt.subplots()
+
+ax.quiver(X, Y, U, V, color="C0", angles='xy',
+          scale_units='xy', scale=5, width=.015)
+
+ax.set(xlim=(-5, 5), ylim=(-5, 5))
+
+plt.show()
diff --git a/galleries/plot_types/arrays/streamplot.py b/galleries/plot_types/arrays/streamplot.py
new file mode 100644
index 000000000000..670773d2cfd3
--- /dev/null
+++ b/galleries/plot_types/arrays/streamplot.py
@@ -0,0 +1,26 @@
+"""
+======================
+streamplot(X, Y, U, V)
+======================
+Draw streamlines of a vector flow.
+
+See `~matplotlib.axes.Axes.streamplot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make a stream function:
+X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+# make U and V out of the streamfunction:
+V = np.diff(Z[1:, :], axis=1)
+U = -np.diff(Z[:, 1:], axis=0)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.streamplot(X[1:, 1:], Y[1:, 1:], U, V)
+
+plt.show()
diff --git a/galleries/plot_types/basic/README.rst b/galleries/plot_types/basic/README.rst
new file mode 100644
index 000000000000..937c7484c8db
--- /dev/null
+++ b/galleries/plot_types/basic/README.rst
@@ -0,0 +1,7 @@
+.. _basic_plots:
+
+Pairwise data
+-------------
+
+Plots of pairwise :math:`(x, y)`, tabular :math:`(var\_0, \cdots, var\_n)`,
+and functional :math:`f(x)=y` data.
diff --git a/galleries/plot_types/basic/bar.py b/galleries/plot_types/basic/bar.py
new file mode 100644
index 000000000000..005e85c5e2ba
--- /dev/null
+++ b/galleries/plot_types/basic/bar.py
@@ -0,0 +1,25 @@
+"""
+==============
+bar(x, height)
+==============
+
+See `~matplotlib.axes.Axes.bar`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data:
+x = 0.5 + np.arange(8)
+y = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6, 3.0]
+
+# plot
+fig, ax = plt.subplots()
+
+ax.bar(x, y, width=1, edgecolor="white", linewidth=0.7)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/fill_between.py b/galleries/plot_types/basic/fill_between.py
new file mode 100644
index 000000000000..feca3c658d3e
--- /dev/null
+++ b/galleries/plot_types/basic/fill_between.py
@@ -0,0 +1,30 @@
+"""
+=======================
+fill_between(x, y1, y2)
+=======================
+Fill the area between two horizontal curves.
+
+See `~matplotlib.axes.Axes.fill_between`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+np.random.seed(1)
+x = np.linspace(0, 8, 16)
+y1 = 3 + 4*x/8 + np.random.uniform(0.0, 0.5, len(x))
+y2 = 1 + 2*x/8 + np.random.uniform(0.0, 0.5, len(x))
+
+# plot
+fig, ax = plt.subplots()
+
+ax.fill_between(x, y1, y2, alpha=.5, linewidth=0)
+ax.plot(x, (y1 + y2)/2, linewidth=2)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/plot.py b/galleries/plot_types/basic/plot.py
new file mode 100644
index 000000000000..34cf500599bb
--- /dev/null
+++ b/galleries/plot_types/basic/plot.py
@@ -0,0 +1,31 @@
+"""
+==========
+plot(x, y)
+==========
+Plot y versus x as lines and/or markers.
+
+See `~matplotlib.axes.Axes.plot`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+x = np.linspace(0, 10, 100)
+y = 4 + 1 * np.sin(2 * x)
+x2 = np.linspace(0, 10, 25)
+y2 = 4 + 1 * np.sin(2 * x2)
+
+# plot
+fig, ax = plt.subplots()
+
+ax.plot(x2, y2 + 2.5, 'x', markeredgewidth=2)
+ax.plot(x, y, linewidth=2.0)
+ax.plot(x2, y2 - 2.5, 'o-', linewidth=2)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/scatter_plot.py b/galleries/plot_types/basic/scatter_plot.py
new file mode 100644
index 000000000000..738af15440db
--- /dev/null
+++ b/galleries/plot_types/basic/scatter_plot.py
@@ -0,0 +1,30 @@
+"""
+=============
+scatter(x, y)
+=============
+A scatter plot of y versus x with varying marker size and/or color.
+
+See `~matplotlib.axes.Axes.scatter`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make the data
+np.random.seed(3)
+x = 4 + np.random.normal(0, 2, 24)
+y = 4 + np.random.normal(0, 2, len(x))
+# size and color:
+sizes = np.random.uniform(15, 80, len(x))
+colors = np.random.uniform(15, 80, len(x))
+
+# plot
+fig, ax = plt.subplots()
+
+ax.scatter(x, y, s=sizes, c=colors, vmin=0, vmax=100)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/stackplot.py b/galleries/plot_types/basic/stackplot.py
new file mode 100644
index 000000000000..275fa5cb67ba
--- /dev/null
+++ b/galleries/plot_types/basic/stackplot.py
@@ -0,0 +1,29 @@
+"""
+===============
+stackplot(x, y)
+===============
+Draw a stacked area plot or a streamgraph.
+
+See `~matplotlib.axes.Axes.stackplot`
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+x = np.arange(0, 10, 2)
+ay = [1, 1.25, 2, 2.75, 3]
+by = [1, 1, 1, 1, 1]
+cy = [2, 1, 2, 1, 2]
+y = np.vstack([ay, by, cy])
+
+# plot
+fig, ax = plt.subplots()
+
+ax.stackplot(x, y)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/stairs.py b/galleries/plot_types/basic/stairs.py
new file mode 100644
index 000000000000..732ded998241
--- /dev/null
+++ b/galleries/plot_types/basic/stairs.py
@@ -0,0 +1,29 @@
+"""
+==============
+stairs(values)
+==============
+Draw a stepwise constant function as a line or a filled plot.
+
+See `~matplotlib.axes.Axes.stairs` when plotting :math:`y` between
+:math:`(x_i, x_{i+1})`. For plotting :math:`y` at :math:`x`, see
+`~matplotlib.axes.Axes.step`.
+
+.. redirect-from:: /plot_types/basic/step
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+y = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6, 3.0]
+
+# plot
+fig, ax = plt.subplots()
+
+ax.stairs(y, linewidth=2.5)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/basic/stem.py b/galleries/plot_types/basic/stem.py
new file mode 100644
index 000000000000..afd10ca1c9df
--- /dev/null
+++ b/galleries/plot_types/basic/stem.py
@@ -0,0 +1,26 @@
+"""
+==========
+stem(x, y)
+==========
+Create a stem plot.
+
+See `~matplotlib.axes.Axes.stem`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+x = 0.5 + np.arange(8)
+y = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6, 3.0]
+
+# plot
+fig, ax = plt.subplots()
+
+ax.stem(x, y)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/stats/README.rst b/galleries/plot_types/stats/README.rst
new file mode 100644
index 000000000000..56a56cb2db04
--- /dev/null
+++ b/galleries/plot_types/stats/README.rst
@@ -0,0 +1,7 @@
+.. _stats_plots:
+
+Statistical distributions
+-------------------------
+
+Plots of the distribution of at least one variable in a dataset. Some of these
+methods also compute the distributions.
diff --git a/galleries/plot_types/stats/boxplot_plot.py b/galleries/plot_types/stats/boxplot_plot.py
new file mode 100644
index 000000000000..996b97a2aef4
--- /dev/null
+++ b/galleries/plot_types/stats/boxplot_plot.py
@@ -0,0 +1,31 @@
+"""
+==========
+boxplot(X)
+==========
+Draw a box and whisker plot.
+
+See `~matplotlib.axes.Axes.boxplot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data:
+np.random.seed(10)
+D = np.random.normal((3, 5, 4), (1.25, 1.00, 1.25), (100, 3))
+
+# plot
+fig, ax = plt.subplots()
+VP = ax.boxplot(D, positions=[2, 4, 6], widths=1.5, patch_artist=True,
+                showmeans=False, showfliers=False,
+                medianprops={"color": "white", "linewidth": 0.5},
+                boxprops={"facecolor": "C0", "edgecolor": "white",
+                          "linewidth": 0.5},
+                whiskerprops={"color": "C0", "linewidth": 1.5},
+                capprops={"color": "C0", "linewidth": 1.5})
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/stats/ecdf.py b/galleries/plot_types/stats/ecdf.py
new file mode 100644
index 000000000000..1a8566b3d2eb
--- /dev/null
+++ b/galleries/plot_types/stats/ecdf.py
@@ -0,0 +1,22 @@
+"""
+=======
+ecdf(x)
+=======
+Compute and plot the empirical cumulative distribution function of x.
+
+See `~matplotlib.axes.Axes.ecdf`.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+np.random.seed(1)
+x = 4 + np.random.normal(0, 1.5, 200)
+
+# plot:
+fig, ax = plt.subplots()
+ax.ecdf(x)
+plt.show()
diff --git a/galleries/plot_types/stats/errorbar_plot.py b/galleries/plot_types/stats/errorbar_plot.py
new file mode 100644
index 000000000000..c96a08e111c1
--- /dev/null
+++ b/galleries/plot_types/stats/errorbar_plot.py
@@ -0,0 +1,28 @@
+"""
+==========================
+errorbar(x, y, yerr, xerr)
+==========================
+Plot y versus x as lines and/or markers with attached errorbars.
+
+See `~matplotlib.axes.Axes.errorbar`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data:
+np.random.seed(1)
+x = [2, 4, 6]
+y = [3.6, 5, 4.2]
+yerr = [0.9, 1.2, 0.5]
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.errorbar(x, y, yerr, fmt='o', linewidth=2, capsize=6)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/stats/eventplot.py b/galleries/plot_types/stats/eventplot.py
new file mode 100644
index 000000000000..babdbe6d1ca1
--- /dev/null
+++ b/galleries/plot_types/stats/eventplot.py
@@ -0,0 +1,27 @@
+"""
+============
+eventplot(D)
+============
+Plot identical parallel lines at the given positions.
+
+See `~matplotlib.axes.Axes.eventplot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data:
+np.random.seed(1)
+x = [2, 4, 6]
+D = np.random.gamma(4, size=(3, 50))
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.eventplot(D, orientation="vertical", lineoffsets=x, linewidth=0.75)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/stats/hexbin.py b/galleries/plot_types/stats/hexbin.py
new file mode 100644
index 000000000000..9d3a2a071346
--- /dev/null
+++ b/galleries/plot_types/stats/hexbin.py
@@ -0,0 +1,26 @@
+"""
+===============
+hexbin(x, y, C)
+===============
+Make a 2D hexagonal binning plot of points x, y.
+
+See `~matplotlib.axes.Axes.hexbin`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data: correlated + noise
+np.random.seed(1)
+x = np.random.randn(5000)
+y = 1.2 * x + np.random.randn(5000) / 3
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.hexbin(x, y, gridsize=20)
+
+ax.set(xlim=(-2, 2), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/plot_types/stats/hist2d.py b/galleries/plot_types/stats/hist2d.py
new file mode 100644
index 000000000000..d95b67539b33
--- /dev/null
+++ b/galleries/plot_types/stats/hist2d.py
@@ -0,0 +1,26 @@
+"""
+============
+hist2d(x, y)
+============
+Make a 2D histogram plot.
+
+See `~matplotlib.axes.Axes.hist2d`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data: correlated + noise
+np.random.seed(1)
+x = np.random.randn(5000)
+y = 1.2 * x + np.random.randn(5000) / 3
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.hist2d(x, y, bins=(np.arange(-3, 3, 0.1), np.arange(-3, 3, 0.1)))
+
+ax.set(xlim=(-2, 2), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/plot_types/stats/hist_plot.py b/galleries/plot_types/stats/hist_plot.py
new file mode 100644
index 000000000000..6328fe9d07c6
--- /dev/null
+++ b/galleries/plot_types/stats/hist_plot.py
@@ -0,0 +1,26 @@
+"""
+=======
+hist(x)
+=======
+Compute and plot a histogram.
+
+See `~matplotlib.axes.Axes.hist`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+np.random.seed(1)
+x = 4 + np.random.normal(0, 1.5, 200)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.hist(x, bins=8, linewidth=0.5, edgecolor="white")
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 56), yticks=np.linspace(0, 56, 9))
+
+plt.show()
diff --git a/galleries/plot_types/stats/pie.py b/galleries/plot_types/stats/pie.py
new file mode 100644
index 000000000000..bd8d555f0040
--- /dev/null
+++ b/galleries/plot_types/stats/pie.py
@@ -0,0 +1,27 @@
+"""
+======
+pie(x)
+======
+Plot a pie chart.
+
+See `~matplotlib.axes.Axes.pie`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+
+# make data
+x = [1, 2, 3, 4]
+colors = plt.get_cmap('Blues')(np.linspace(0.2, 0.7, len(x)))
+
+# plot
+fig, ax = plt.subplots()
+ax.pie(x, colors=colors, radius=3, center=(4, 4),
+       wedgeprops={"linewidth": 1, "edgecolor": "white"}, frame=True)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/stats/violin.py b/galleries/plot_types/stats/violin.py
new file mode 100644
index 000000000000..2ea2161ad91c
--- /dev/null
+++ b/galleries/plot_types/stats/violin.py
@@ -0,0 +1,29 @@
+"""
+=============
+violinplot(D)
+=============
+Make a violin plot.
+
+See `~matplotlib.axes.Axes.violinplot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data:
+np.random.seed(10)
+D = np.random.normal((3, 5, 4), (0.75, 1.00, 0.75), (200, 3))
+
+# plot:
+fig, ax = plt.subplots()
+
+vp = ax.violinplot(D, [2, 4, 6], widths=2,
+                   showmeans=False, showmedians=False, showextrema=False)
+# styling:
+for body in vp['bodies']:
+    body.set_alpha(0.9)
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
diff --git a/galleries/plot_types/unstructured/README.rst b/galleries/plot_types/unstructured/README.rst
new file mode 100644
index 000000000000..89b7924dd2f4
--- /dev/null
+++ b/galleries/plot_types/unstructured/README.rst
@@ -0,0 +1,7 @@
+.. _unstructured_plots:
+
+Irregularly gridded data
+------------------------
+
+Plots of data :math:`Z_{x, y}` on `unstructured grids <https://en.wikipedia.org/wiki/Unstructured_grid>`_ ,
+unstructured coordinate grids :math:`(x, y)`, and 2D functions :math:`f(x, y) = z`.
diff --git a/galleries/plot_types/unstructured/tricontour.py b/galleries/plot_types/unstructured/tricontour.py
new file mode 100644
index 000000000000..292ff551fe36
--- /dev/null
+++ b/galleries/plot_types/unstructured/tricontour.py
@@ -0,0 +1,29 @@
+"""
+===================
+tricontour(x, y, z)
+===================
+Draw contour lines on an unstructured triangular grid.
+
+See `~matplotlib.axes.Axes.tricontour`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+np.random.seed(1)
+x = np.random.uniform(-3, 3, 256)
+y = np.random.uniform(-3, 3, 256)
+z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)
+levels = np.linspace(z.min(), z.max(), 7)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.plot(x, y, 'o', markersize=2, color='lightgrey')
+ax.tricontour(x, y, z, levels=levels)
+
+ax.set(xlim=(-3, 3), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/plot_types/unstructured/tricontourf.py b/galleries/plot_types/unstructured/tricontourf.py
new file mode 100644
index 000000000000..aab748e73024
--- /dev/null
+++ b/galleries/plot_types/unstructured/tricontourf.py
@@ -0,0 +1,29 @@
+"""
+====================
+tricontourf(x, y, z)
+====================
+Draw contour regions on an unstructured triangular grid.
+
+See `~matplotlib.axes.Axes.tricontourf`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+np.random.seed(1)
+x = np.random.uniform(-3, 3, 256)
+y = np.random.uniform(-3, 3, 256)
+z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)
+levels = np.linspace(z.min(), z.max(), 7)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.plot(x, y, 'o', markersize=2, color='grey')
+ax.tricontourf(x, y, z, levels=levels)
+
+ax.set(xlim=(-3, 3), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/plot_types/unstructured/tripcolor.py b/galleries/plot_types/unstructured/tripcolor.py
new file mode 100644
index 000000000000..398877653db8
--- /dev/null
+++ b/galleries/plot_types/unstructured/tripcolor.py
@@ -0,0 +1,28 @@
+"""
+==================
+tripcolor(x, y, z)
+==================
+Create a pseudocolor plot of an unstructured triangular grid.
+
+See `~matplotlib.axes.Axes.tripcolor`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+np.random.seed(1)
+x = np.random.uniform(-3, 3, 256)
+y = np.random.uniform(-3, 3, 256)
+z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.plot(x, y, 'o', markersize=2, color='grey')
+ax.tripcolor(x, y, z)
+
+ax.set(xlim=(-3, 3), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/plot_types/unstructured/triplot.py b/galleries/plot_types/unstructured/triplot.py
new file mode 100644
index 000000000000..d726c46e1e47
--- /dev/null
+++ b/galleries/plot_types/unstructured/triplot.py
@@ -0,0 +1,27 @@
+"""
+=============
+triplot(x, y)
+=============
+Draw an unstructured triangular grid as lines and/or markers.
+
+See `~matplotlib.axes.Axes.triplot`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+np.random.seed(1)
+x = np.random.uniform(-3, 3, 256)
+y = np.random.uniform(-3, 3, 256)
+z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.triplot(x, y)
+
+ax.set(xlim=(-3, 3), ylim=(-3, 3))
+
+plt.show()
diff --git a/galleries/tutorials/artists.py b/galleries/tutorials/artists.py
new file mode 100644
index 000000000000..a258eb71d447
--- /dev/null
+++ b/galleries/tutorials/artists.py
@@ -0,0 +1,721 @@
+"""
+.. redirect-from:: /tutorials/intermediate/artists
+
+.. _artists_tutorial:
+
+===============
+Artist tutorial
+===============
+
+Using Artist objects to render on the canvas.
+
+There are three layers to the Matplotlib API.
+
+* the :class:`!matplotlib.backend_bases.FigureCanvas` is the area onto which
+  the figure is drawn
+* the :class:`!matplotlib.backend_bases.Renderer` is the object which knows how
+  to draw on the :class:`!matplotlib.backend_bases.FigureCanvas`
+* and the :class:`matplotlib.artist.Artist` is the object that knows how to use
+  a renderer to paint onto the canvas.
+
+The :class:`!matplotlib.backend_bases.FigureCanvas` and
+:class:`!matplotlib.backend_bases.Renderer` handle all the details of
+talking to user interface toolkits like `wxPython
+<https://www.wxpython.org>`_ or drawing languages like PostScript®, and
+the ``Artist`` handles all the high level constructs like representing
+and laying out the figure, text, and lines.  The typical user will
+spend 95% of their time working with the ``Artists``.
+
+There are two types of ``Artists``: primitives and containers.  The primitives
+represent the standard graphical objects we want to paint onto our canvas:
+:class:`~matplotlib.lines.Line2D`, :class:`~matplotlib.patches.Rectangle`,
+:class:`~matplotlib.text.Text`, :class:`~matplotlib.image.AxesImage`, etc., and
+the containers are places to put them (:class:`~matplotlib.axis.Axis`,
+:class:`~matplotlib.axes.Axes` and :class:`~matplotlib.figure.Figure`).  The
+standard use is to create a :class:`~matplotlib.figure.Figure` instance, use
+the ``Figure`` to create one or more :class:`~matplotlib.axes.Axes`
+instances, and use the ``Axes`` instance
+helper methods to create the primitives.  In the example below, we create a
+``Figure`` instance using :func:`matplotlib.pyplot.figure`, which is a
+convenience method for instantiating ``Figure`` instances and connecting them
+with your user interface or drawing toolkit ``FigureCanvas``.  As we will
+discuss below, this is not necessary -- you can work directly with PostScript,
+PDF Gtk+, or wxPython ``FigureCanvas`` instances, instantiate your ``Figures``
+directly and connect them yourselves -- but since we are focusing here on the
+``Artist`` API we'll let :mod:`~matplotlib.pyplot` handle some of those details
+for us::
+
+    import matplotlib.pyplot as plt
+    fig = plt.figure()
+    ax = fig.add_subplot(2, 1, 1) # two rows, one column, first plot
+
+The :class:`~matplotlib.axes.Axes` is probably the most important
+class in the Matplotlib API, and the one you will be working with most
+of the time.  This is because the ``Axes`` is the plotting area into
+which most of the objects go, and the ``Axes`` has many special helper
+methods (:meth:`~matplotlib.axes.Axes.plot`,
+:meth:`~matplotlib.axes.Axes.text`,
+:meth:`~matplotlib.axes.Axes.hist`,
+:meth:`~matplotlib.axes.Axes.imshow`) to create the most common
+graphics primitives (:class:`~matplotlib.lines.Line2D`,
+:class:`~matplotlib.text.Text`,
+:class:`~matplotlib.patches.Rectangle`,
+:class:`~matplotlib.image.AxesImage`, respectively).  These helper methods
+will take your data (e.g., ``numpy`` arrays and strings) and create
+primitive ``Artist`` instances as needed (e.g., ``Line2D``), add them to
+the relevant containers, and draw them when requested.  If you want to create
+an ``Axes`` at an arbitrary location, simply use the
+:meth:`~matplotlib.figure.Figure.add_axes` method which takes a list
+of ``[left, bottom, width, height]`` values in 0-1 relative figure
+coordinates::
+
+    fig2 = plt.figure()
+    ax2 = fig2.add_axes([0.15, 0.1, 0.7, 0.3])
+
+Continuing with our example::
+
+    import numpy as np
+    t = np.arange(0.0, 1.0, 0.01)
+    s = np.sin(2*np.pi*t)
+    line, = ax.plot(t, s, color='blue', lw=2)
+
+In this example, ``ax`` is the ``Axes`` instance created by the
+``fig.add_subplot`` call above and when you call ``ax.plot``, it creates a
+``Line2D`` instance and
+adds it to the ``Axes``.  In the interactive `IPython <https://ipython.org/>`_
+session below, you can see that the ``Axes.lines`` list is length one and
+contains the same line that was returned by the ``line, = ax.plot...`` call:
+
+.. sourcecode:: ipython
+
+    In [101]: ax.lines[0]
+    Out[101]: <matplotlib.lines.Line2D at 0x19a95710>
+
+    In [102]: line
+    Out[102]: <matplotlib.lines.Line2D at 0x19a95710>
+
+If you make subsequent calls to ``ax.plot`` (and the hold state is "on"
+which is the default) then additional lines will be added to the list.
+You can remove a line later by calling its ``remove`` method::
+
+    line = ax.lines[0]
+    line.remove()
+
+The Axes also has helper methods to configure and decorate the x-axis
+and y-axis tick, tick labels and axis labels::
+
+    xtext = ax.set_xlabel('my xdata')  # returns a Text instance
+    ytext = ax.set_ylabel('my ydata')
+
+When you call :meth:`ax.set_xlabel <matplotlib.axes.Axes.set_xlabel>`,
+it passes the information on the :class:`~matplotlib.text.Text`
+instance of the :class:`~matplotlib.axis.XAxis`.  Each ``Axes``
+instance contains an :class:`~matplotlib.axis.XAxis` and a
+:class:`~matplotlib.axis.YAxis` instance, which handle the layout and
+drawing of the ticks, tick labels and axis labels.
+
+Try creating the figure below.
+"""
+# sphinx_gallery_capture_repr = ('__repr__',)
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+fig.subplots_adjust(top=0.8)
+ax1 = fig.add_subplot(211)
+ax1.set_ylabel('Voltage [V]')
+ax1.set_title('A sine wave')
+
+t = np.arange(0.0, 1.0, 0.01)
+s = np.sin(2*np.pi*t)
+line, = ax1.plot(t, s, color='blue', lw=2)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
+n, bins, patches = ax2.hist(np.random.randn(1000), 50,
+                            facecolor='yellow', edgecolor='yellow')
+ax2.set_xlabel('Time [s]')
+
+plt.show()
+
+# %%
+# .. _customizing-artists:
+#
+# Customizing your objects
+# ========================
+#
+# Every element in the figure is represented by a Matplotlib
+# :class:`~matplotlib.artist.Artist`, and each has an extensive list of
+# properties to configure its appearance.  The figure itself contains a
+# :class:`~matplotlib.patches.Rectangle` exactly the size of the figure,
+# which you can use to set the background color and transparency of the
+# figures.  Likewise, each :class:`~matplotlib.axes.Axes` bounding box
+# (the standard white box with black edges in the typical Matplotlib
+# plot, has a ``Rectangle`` instance that determines the color,
+# transparency, and other properties of the Axes.  These instances are
+# stored as member variables :attr:`!Figure.patch` and :attr:`!Axes.patch`
+# ("Patch" is a name inherited from MATLAB, and is a 2D "patch"
+# of color on the figure, e.g., rectangles, circles and polygons).
+# Every Matplotlib ``Artist`` has the following properties
+#
+# ==========  =================================================================
+# Property    Description
+# ==========  =================================================================
+# alpha       The transparency - a scalar from 0-1
+# animated    A boolean that is used to facilitate animated drawing
+# axes        The Axes that the Artist lives in, possibly None
+# clip_box    The bounding box that clips the Artist
+# clip_on     Whether clipping is enabled
+# clip_path   The path the artist is clipped to
+# contains    A picking function to test whether the artist contains the pick
+#             point
+# figure      The figure instance the artist lives in, possibly None
+# label       A text label (e.g., for auto-labeling)
+# picker      A python object that controls object picking
+# transform   The transformation
+# visible     A boolean whether the artist should be drawn
+# zorder      A number which determines the drawing order
+# rasterized  Boolean; Turns vectors into raster graphics (for compression &
+#             EPS transparency)
+# ==========  =================================================================
+#
+# Each of the properties is accessed with an old-fashioned setter or
+# getter (yes we know this irritates Pythonistas and we plan to support
+# direct access via properties or traits but it hasn't been done yet).
+# For example, to multiply the current alpha by a half::
+#
+#     a = o.get_alpha()
+#     o.set_alpha(0.5*a)
+#
+# If you want to set a number of properties at once, you can also use
+# the ``set`` method with keyword arguments.  For example::
+#
+#     o.set(alpha=0.5, zorder=2)
+#
+# If you are working interactively at the python shell, a handy way to
+# inspect the ``Artist`` properties is to use the
+# :func:`matplotlib.artist.getp` function (simply
+# :func:`~matplotlib.pyplot.getp` in pyplot), which lists the properties
+# and their values.  This works for classes derived from ``Artist`` as
+# well, e.g., ``Figure`` and ``Rectangle``.  Here are the ``Figure`` rectangle
+# properties mentioned above:
+#
+# .. sourcecode:: ipython
+#
+#     In [149]: matplotlib.artist.getp(fig.patch)
+#       agg_filter = None
+#       alpha = None
+#       animated = False
+#       antialiased or aa = False
+#       bbox = Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0)
+#       capstyle = butt
+#       children = []
+#       clip_box = None
+#       clip_on = True
+#       clip_path = None
+#       contains = None
+#       data_transform = BboxTransformTo(     TransformedBbox(         Bbox...
+#       edgecolor or ec = (1.0, 1.0, 1.0, 1.0)
+#       extents = Bbox(x0=0.0, y0=0.0, x1=640.0, y1=480.0)
+#       facecolor or fc = (1.0, 1.0, 1.0, 1.0)
+#       figure = Figure(640x480)
+#       fill = True
+#       gid = None
+#       hatch = None
+#       height = 1
+#       in_layout = False
+#       joinstyle = miter
+#       label =
+#       linestyle or ls = solid
+#       linewidth or lw = 0.0
+#       patch_transform = CompositeGenericTransform(     BboxTransformTo(   ...
+#       path = Path(array([[0., 0.],        [1., 0.],        [1.,...
+#       path_effects = []
+#       picker = None
+#       rasterized = None
+#       sketch_params = None
+#       snap = None
+#       transform = CompositeGenericTransform(     CompositeGenericTra...
+#       transformed_clip_path_and_affine = (None, None)
+#       url = None
+#       verts = [[  0.   0.]  [640.   0.]  [640. 480.]  [  0. 480....
+#       visible = True
+#       width = 1
+#       window_extent = Bbox(x0=0.0, y0=0.0, x1=640.0, y1=480.0)
+#       x = 0
+#       xy = (0, 0)
+#       y = 0
+#       zorder = 1
+#
+# The docstrings for all of the classes also contain the ``Artist``
+# properties, so you can consult the interactive "help" or the
+# :ref:`artist-api` for a listing of properties for a given object.
+#
+# .. _object-containers:
+#
+# Object containers
+# =================
+#
+#
+# Now that we know how to inspect and set the properties of a given
+# object we want to configure, we need to know how to get at that object.
+# As mentioned in the introduction, there are two kinds of objects:
+# primitives and containers.  The primitives are usually the things you
+# want to configure (the font of a :class:`~matplotlib.text.Text`
+# instance, the width of a :class:`~matplotlib.lines.Line2D`) although
+# the containers also have some properties as well -- for example the
+# :class:`~matplotlib.axes.Axes` :class:`~matplotlib.artist.Artist` is a
+# container that contains many of the primitives in your plot, but it
+# also has properties like the ``xscale`` to control whether the xaxis
+# is 'linear' or 'log'.  In this section we'll review where the various
+# container objects store the ``Artists`` that you want to get at.
+#
+# .. _figure-container:
+#
+# Figure container
+# ----------------
+#
+# The top level container ``Artist`` is the
+# :class:`matplotlib.figure.Figure`, and it contains everything in the
+# figure.  The background of the figure is a
+# :class:`~matplotlib.patches.Rectangle` which is stored in
+# :attr:`!Figure.patch`.  As
+# you add subplots (:meth:`~matplotlib.figure.Figure.add_subplot`) and
+# Axes (:meth:`~matplotlib.figure.Figure.add_axes`) to the figure
+# these will be appended to the :attr:`Figure.axes
+# <matplotlib.figure.Figure.axes>`.  These are also returned by the
+# methods that create them:
+#
+# .. sourcecode:: ipython
+#
+#     In [156]: fig = plt.figure()
+#
+#     In [157]: ax1 = fig.add_subplot(211)
+#
+#     In [158]: ax2 = fig.add_axes([0.1, 0.1, 0.7, 0.3])
+#
+#     In [159]: ax1
+#     Out[159]: <Axes:>
+#
+#     In [160]: print(fig.axes)
+#     [<Axes:>, <matplotlib.axes._axes.Axes object at 0x7f0768702be0>]
+#
+# Because the figure maintains the concept of the "current Axes" (see
+# :meth:`Figure.gca <matplotlib.figure.Figure.gca>` and
+# :meth:`Figure.sca <matplotlib.figure.Figure.sca>`) to support the
+# pylab/pyplot state machine, you should not insert or remove Axes
+# directly from the Axes list, but rather use the
+# :meth:`~matplotlib.figure.Figure.add_subplot` and
+# :meth:`~matplotlib.figure.Figure.add_axes` methods to insert, and the
+# `Axes.remove <matplotlib.artist.Artist.remove>` method to delete.  You are
+# free however, to iterate over the list of Axes or index into it to get
+# access to ``Axes`` instances you want to customize.  Here is an
+# example which turns all the Axes grids on::
+#
+#     for ax in fig.axes:
+#         ax.grid(True)
+#
+#
+# The figure also has its own ``images``, ``lines``, ``patches`` and ``text``
+# attributes, which you can use to add primitives directly. When doing so, the
+# default coordinate system for the ``Figure`` will simply be in pixels (which
+# is not usually what you want). If you instead use Figure-level methods to add
+# Artists (e.g., using `.Figure.text` to add text), then the default coordinate
+# system will be "figure coordinates" where (0, 0) is the bottom-left of the
+# figure and (1, 1) is the top-right of the figure.
+#
+# As with all ``Artist``\s, you can control this coordinate system by setting
+# the transform property. You can explicitly use "figure coordinates" by
+# setting the ``Artist`` transform to :attr:`!fig.transFigure`:
+
+import matplotlib.lines as lines
+
+fig = plt.figure()
+
+l1 = lines.Line2D([0, 1], [0, 1], transform=fig.transFigure, figure=fig)
+l2 = lines.Line2D([0, 1], [1, 0], transform=fig.transFigure, figure=fig)
+fig.lines.extend([l1, l2])
+
+plt.show()
+
+# %%
+# Here is a summary of the Artists the Figure contains
+#
+# ================ ============================================================
+# Figure attribute Description
+# ================ ============================================================
+# axes             A list of `~.axes.Axes` instances
+# patch            The `.Rectangle` background
+# images           A list of `.FigureImage` patches -
+#                  useful for raw pixel display
+# legends          A list of Figure `.Legend` instances
+#                  (different from ``Axes.get_legend()``)
+# lines            A list of Figure `.Line2D` instances
+#                  (rarely used, see ``Axes.lines``)
+# patches          A list of Figure `.Patch`\s
+#                  (rarely used, see ``Axes.patches``)
+# texts            A list Figure `.Text` instances
+# ================ ============================================================
+#
+# .. _axes-container:
+#
+# Axes container
+# --------------
+#
+# The :class:`matplotlib.axes.Axes` is the center of the Matplotlib
+# universe -- it contains the vast majority of all the ``Artists`` used
+# in a figure with many helper methods to create and add these
+# ``Artists`` to itself, as well as helper methods to access and
+# customize the ``Artists`` it contains.  Like the
+# :class:`~matplotlib.figure.Figure`, it contains a
+# :class:`~matplotlib.patches.Patch`
+# :attr:`!matplotlib.axes.Axes.patch` which is a
+# :class:`~matplotlib.patches.Rectangle` for Cartesian coordinates and a
+# :class:`~matplotlib.patches.Circle` for polar coordinates; this patch
+# determines the shape, background and border of the plotting region::
+#
+#     ax = fig.add_subplot()
+#     rect = ax.patch  # a Rectangle instance
+#     rect.set_facecolor('green')
+#
+# When you call a plotting method, e.g., the canonical
+# `~matplotlib.axes.Axes.plot` and pass in arrays or lists of values, the
+# method will create a `matplotlib.lines.Line2D` instance, update the line with
+# all the ``Line2D`` properties passed as keyword arguments, add the line to
+# the ``Axes``, and return it to you:
+#
+# .. sourcecode:: ipython
+#
+#     In [213]: x, y = np.random.rand(2, 100)
+#
+#     In [214]: line, = ax.plot(x, y, '-', color='blue', linewidth=2)
+#
+# ``plot`` returns a list of lines because you can pass in multiple x, y
+# pairs to plot, and we are unpacking the first element of the length
+# one list into the line variable.  The line has been added to the
+# ``Axes.lines`` list:
+#
+# .. sourcecode:: ipython
+#
+#     In [229]: print(ax.lines)
+#     [<matplotlib.lines.Line2D at 0xd378b0c>]
+#
+# Similarly, methods that create patches, like
+# :meth:`~matplotlib.axes.Axes.bar` creates a list of rectangles, will
+# add the patches to the :attr:`!Axes.patches` list:
+#
+# .. sourcecode:: ipython
+#
+#     In [233]: n, bins, rectangles = ax.hist(np.random.randn(1000), 50)
+#
+#     In [234]: rectangles
+#     Out[234]: <BarContainer object of 50 artists>
+#
+#     In [235]: print(len(ax.patches))
+#     Out[235]: 50
+#
+# You should not add objects directly to the ``Axes.lines`` or ``Axes.patches``
+# lists, because the ``Axes`` needs to do a few things when it creates and adds
+# an object:
+#
+# - It sets the ``figure`` and ``axes`` property of the ``Artist``;
+# - It sets the default ``Axes`` transformation (unless one is already set);
+# - It inspects the data contained in the ``Artist`` to update the data
+#   structures controlling auto-scaling, so that the view limits can be
+#   adjusted to contain the plotted data.
+#
+# You can, nonetheless, create objects yourself and add them directly to the
+# ``Axes`` using helper methods like `~matplotlib.axes.Axes.add_line` and
+# `~matplotlib.axes.Axes.add_patch`.  Here is an annotated interactive session
+# illustrating what is going on:
+#
+# .. sourcecode:: ipython
+#
+#     In [262]: fig, ax = plt.subplots()
+#
+#     # create a rectangle instance
+#     In [263]: rect = matplotlib.patches.Rectangle((1, 1), width=5, height=12)
+#
+#     # by default the Axes instance is None
+#     In [264]: print(rect.axes)
+#     None
+#
+#     # and the transformation instance is set to the "identity transform"
+#     In [265]: print(rect.get_data_transform())
+#     IdentityTransform()
+#
+#     # now we add the Rectangle to the Axes
+#     In [266]: ax.add_patch(rect)
+#
+#     # and notice that the ax.add_patch method has set the Axes
+#     # instance
+#     In [267]: print(rect.axes)
+#     Axes(0.125,0.1;0.775x0.8)
+#
+#     # and the transformation has been set too
+#     In [268]: print(rect.get_data_transform())
+#     CompositeGenericTransform(
+#         TransformWrapper(
+#             BlendedAffine2D(
+#                 IdentityTransform(),
+#                 IdentityTransform())),
+#         CompositeGenericTransform(
+#             BboxTransformFrom(
+#                 TransformedBbox(
+#                     Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),
+#                     TransformWrapper(
+#                         BlendedAffine2D(
+#                             IdentityTransform(),
+#                             IdentityTransform())))),
+#             BboxTransformTo(
+#                 TransformedBbox(
+#                     Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
+#                     BboxTransformTo(
+#                         TransformedBbox(
+#                             Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
+#                             Affine2D(
+#                                 [[100.   0.   0.]
+#                                  [  0. 100.   0.]
+#                                  [  0.   0.   1.]])))))))
+#
+#     # the default Axes transformation is ax.transData
+#     In [269]: print(ax.transData)
+#     CompositeGenericTransform(
+#         TransformWrapper(
+#             BlendedAffine2D(
+#                 IdentityTransform(),
+#                 IdentityTransform())),
+#         CompositeGenericTransform(
+#             BboxTransformFrom(
+#                 TransformedBbox(
+#                     Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),
+#                     TransformWrapper(
+#                         BlendedAffine2D(
+#                             IdentityTransform(),
+#                             IdentityTransform())))),
+#             BboxTransformTo(
+#                 TransformedBbox(
+#                     Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
+#                     BboxTransformTo(
+#                         TransformedBbox(
+#                             Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
+#                             Affine2D(
+#                                 [[100.   0.   0.]
+#                                  [  0. 100.   0.]
+#                                  [  0.   0.   1.]])))))))
+#
+#     # notice that the xlimits of the Axes have not been changed
+#     In [270]: print(ax.get_xlim())
+#     (0.0, 1.0)
+#
+#     # but the data limits have been updated to encompass the rectangle
+#     In [271]: print(ax.dataLim.bounds)
+#     (1.0, 1.0, 5.0, 12.0)
+#
+#     # we can manually invoke the auto-scaling machinery
+#     In [272]: ax.autoscale_view()
+#
+#     # and now the xlim are updated to encompass the rectangle, plus margins
+#     In [273]: print(ax.get_xlim())
+#     (0.75, 6.25)
+#
+#     # we have to manually force a figure draw
+#     In [274]: fig.canvas.draw()
+#
+#
+# There are many, many ``Axes`` helper methods for creating primitive
+# ``Artists`` and adding them to their respective containers.  The table
+# below summarizes a small sampling of them, the kinds of ``Artist`` they
+# create, and where they store them
+#
+# =========================================  =================  ===============
+# Axes helper method                         Artist             Container
+# =========================================  =================  ===============
+# `~.axes.Axes.annotate` - text annotations  `.Annotation`      ax.texts
+# `~.axes.Axes.bar` - bar charts             `.Rectangle`       ax.patches
+# `~.axes.Axes.errorbar` - error bar plots   `.Line2D` and      ax.lines and
+#                                            `.Rectangle`       ax.patches
+# `~.axes.Axes.fill` - shared area           `.Polygon`         ax.patches
+# `~.axes.Axes.hist` - histograms            `.Rectangle`       ax.patches
+# `~.axes.Axes.imshow` - image data          `.AxesImage`       ax.images
+# `~.axes.Axes.legend` - Axes legend         `.Legend`          ax.get_legend()
+# `~.axes.Axes.plot` - xy plots              `.Line2D`          ax.lines
+# `~.axes.Axes.scatter` - scatter charts     `.PolyCollection`  ax.collections
+# `~.axes.Axes.text` - text                  `.Text`            ax.texts
+# =========================================  =================  ===============
+#
+#
+# In addition to all of these ``Artists``, the ``Axes`` contains two
+# important ``Artist`` containers: the :class:`~matplotlib.axis.XAxis`
+# and :class:`~matplotlib.axis.YAxis`, which handle the drawing of the
+# ticks and labels.  These are stored as instance variables
+# :attr:`!matplotlib.axes.Axes.xaxis` and
+# :attr:`!matplotlib.axes.Axes.yaxis`.  The ``XAxis`` and ``YAxis``
+# containers will be detailed below, but note that the ``Axes`` contains
+# many helper methods which forward calls on to the
+# :class:`~matplotlib.axis.Axis` instances, so you often do not need to
+# work with them directly unless you want to.  For example, you can set
+# the font color of the ``XAxis`` ticklabels using the ``Axes`` helper
+# method::
+#
+#     ax.tick_params(axis='x', labelcolor='orange')
+#
+# Below is a summary of the Artists that the `~.axes.Axes` contains
+#
+# ==============    =========================================
+# Axes attribute    Description
+# ==============    =========================================
+# artists           An `.ArtistList` of `.Artist` instances
+# patch             `.Rectangle` instance for Axes background
+# collections       An `.ArtistList` of `.Collection` instances
+# images            An `.ArtistList` of `.AxesImage`
+# lines             An `.ArtistList` of `.Line2D` instances
+# patches           An `.ArtistList` of `.Patch` instances
+# texts             An `.ArtistList` of `.Text` instances
+# xaxis             A `matplotlib.axis.XAxis` instance
+# yaxis             A `matplotlib.axis.YAxis` instance
+# ==============    =========================================
+#
+# The legend can be accessed by `~.axes.Axes.get_legend`,
+#
+# .. _axis-container:
+#
+# Axis containers
+# ---------------
+#
+# The :class:`matplotlib.axis.Axis` instances handle the drawing of the
+# tick lines, the grid lines, the tick labels and the axis label.  You
+# can configure the left and right ticks separately for the y-axis, and
+# the upper and lower ticks separately for the x-axis.  The ``Axis``
+# also stores the data and view intervals used in auto-scaling, panning
+# and zooming, as well as the :class:`~matplotlib.ticker.Locator` and
+# :class:`~matplotlib.ticker.Formatter` instances which control where
+# the ticks are placed and how they are represented as strings.
+#
+# Each ``Axis`` object contains a :attr:`~matplotlib.axis.Axis.label` attribute
+# (this is what :mod:`.pyplot` modifies in calls to `~.pyplot.xlabel` and
+# `~.pyplot.ylabel`) as well as a list of major and minor ticks.  The ticks are
+# `.axis.XTick` and `.axis.YTick` instances, which contain the actual line and
+# text primitives that render the ticks and ticklabels.  Because the ticks are
+# dynamically created as needed (e.g., when panning and zooming), you should
+# access the lists of major and minor ticks through their accessor methods
+# `.axis.Axis.get_major_ticks` and `.axis.Axis.get_minor_ticks`.  Although
+# the ticks contain all the primitives and will be covered below, ``Axis``
+# instances have accessor methods that return the tick lines, tick labels, tick
+# locations etc.:
+
+fig, ax = plt.subplots()
+axis = ax.xaxis
+axis.get_ticklocs()
+
+# %%
+
+axis.get_ticklabels()
+
+# %%
+# note there are twice as many ticklines as labels because by default there are
+# tick lines at the top and bottom but only tick labels below the xaxis;
+# however, this can be customized.
+
+axis.get_ticklines()
+
+# %%
+# And with the above methods, you only get lists of major ticks back by
+# default, but you can also ask for the minor ticks:
+
+axis.get_ticklabels(minor=True)
+axis.get_ticklines(minor=True)
+
+# %%
+# Here is a summary of some of the useful accessor methods of the ``Axis``
+# (these have corresponding setters where useful, such as
+# :meth:`~matplotlib.axis.Axis.set_major_formatter`.)
+#
+# =============================  ==============================================
+# Axis accessor method           Description
+# =============================  ==============================================
+# `~.Axis.get_scale`             The scale of the Axis, e.g., 'log' or 'linear'
+# `~.Axis.get_view_interval`     The interval instance of the Axis view limits
+# `~.Axis.get_data_interval`     The interval instance of the Axis data limits
+# `~.Axis.get_gridlines`         A list of grid lines for the Axis
+# `~.Axis.get_label`             The Axis label - a `.Text` instance
+# `~.Axis.get_offset_text`       The Axis offset text - a `.Text` instance
+# `~.Axis.get_ticklabels`        A list of `.Text` instances -
+#                                keyword minor=True|False
+# `~.Axis.get_ticklines`         A list of `.Line2D` instances -
+#                                keyword minor=True|False
+# `~.Axis.get_ticklocs`          A list of Tick locations -
+#                                keyword minor=True|False
+# `~.Axis.get_major_locator`     The `.ticker.Locator` instance for major ticks
+# `~.Axis.get_major_formatter`   The `.ticker.Formatter` instance for major
+#                                ticks
+# `~.Axis.get_minor_locator`     The `.ticker.Locator` instance for minor ticks
+# `~.Axis.get_minor_formatter`   The `.ticker.Formatter` instance for minor
+#                                ticks
+# `~.axis.Axis.get_major_ticks`  A list of `.Tick` instances for major ticks
+# `~.axis.Axis.get_minor_ticks`  A list of `.Tick` instances for minor ticks
+# `~.Axis.grid`                  Turn the grid on or off for the major or minor
+#                                ticks
+# =============================  ==============================================
+#
+# Here is an example, not recommended for its beauty, which customizes
+# the Axes and Tick properties.
+
+# plt.figure creates a matplotlib.figure.Figure instance
+fig = plt.figure()
+rect = fig.patch  # a rectangle instance
+rect.set_facecolor('lightgoldenrodyellow')
+
+ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
+rect = ax1.patch
+rect.set_facecolor('lightslategray')
+
+
+for label in ax1.xaxis.get_ticklabels():
+    # label is a Text instance
+    label.set_color('red')
+    label.set_rotation(45)
+    label.set_fontsize(16)
+
+for line in ax1.yaxis.get_ticklines():
+    # line is a Line2D instance
+    line.set_color('green')
+    line.set_markersize(25)
+    line.set_markeredgewidth(3)
+
+plt.show()
+
+# %%
+# .. _tick-container:
+#
+# Tick containers
+# ---------------
+#
+# The :class:`matplotlib.axis.Tick` is the final container object in our
+# descent from the :class:`~matplotlib.figure.Figure` to the
+# :class:`~matplotlib.axes.Axes` to the :class:`~matplotlib.axis.Axis`
+# to the :class:`~matplotlib.axis.Tick`.  The ``Tick`` contains the tick
+# and grid line instances, as well as the label instances for the upper
+# and lower ticks.  Each of these is accessible directly as an attribute
+# of the ``Tick``.
+#
+# ==============  ==========================================================
+# Tick attribute  Description
+# ==============  ==========================================================
+# tick1line       A `.Line2D` instance
+# tick2line       A `.Line2D` instance
+# gridline        A `.Line2D` instance
+# label1          A `.Text` instance
+# label2          A `.Text` instance
+# ==============  ==========================================================
+#
+# Here is an example which sets the formatter for the right side ticks with
+# dollar signs and colors them green on the right side of the yaxis.
+#
+#
+# .. include:: ../gallery/ticks/dollar_ticks.rst
+#    :start-after: .. redirect-from:: /gallery/pyplots/dollar_ticks
+#    :end-before: .. admonition:: References
diff --git a/galleries/tutorials/images.py b/galleries/tutorials/images.py
new file mode 100644
index 000000000000..0867f7b6d672
--- /dev/null
+++ b/galleries/tutorials/images.py
@@ -0,0 +1,252 @@
+"""
+.. redirect-from:: /tutorials/introductory/images
+
+.. _image_tutorial:
+
+==============
+Image tutorial
+==============
+
+A short tutorial on plotting images with Matplotlib.
+
+.. _imaging_startup:
+
+Startup commands
+===================
+
+First, let's start IPython.  It is a most excellent enhancement to the
+standard Python prompt, and it ties in especially well with
+Matplotlib.  Start IPython either directly at a shell, or with the Jupyter
+Notebook (where IPython as a running kernel).
+
+With IPython started, we now need to connect to a GUI event loop.  This
+tells IPython where (and how) to display plots.  To connect to a GUI
+loop, execute the **%matplotlib** magic at your IPython prompt.  There's more
+detail on exactly what this does at `IPython's documentation on GUI
+event loops
+<https://ipython.readthedocs.io/en/stable/interactive/reference.html#gui-event-loop-support>`_.
+
+If you're using Jupyter Notebook, the same commands are available, but
+people commonly use a specific argument to the %matplotlib magic:
+
+.. sourcecode:: ipython
+
+    In [1]: %matplotlib inline
+
+This turns on inline plotting, where plot graphics will appear in your
+notebook.  This has important implications for interactivity.  For inline plotting, commands in
+cells below the cell that outputs a plot will not affect the plot.  For example,
+changing the colormap is not possible from cells below the cell that creates a plot.
+However, for other backends, such as Qt, that open a separate window,
+cells below those that create the plot will change the plot - it is a
+live object in memory.
+
+This tutorial will use Matplotlib's implicit plotting interface, pyplot.  This
+interface maintains global state, and is very useful for quickly and easily
+experimenting with various plot settings.  The alternative is the explicit,
+which is more suitable for large application development.  For an explanation
+of the tradeoffs between the implicit and explicit interfaces see
+:ref:`api_interfaces` and the :ref:`Quick start guide
+<quick_start>` to start using the explicit interface.
+For now, let's get on with the implicit approach:
+
+"""
+
+from PIL import Image
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# .. _importing_data:
+#
+# Importing image data into Numpy arrays
+# ======================================
+#
+# Matplotlib relies on the Pillow_ library to load image data.
+#
+# .. _Pillow: https://pillow.readthedocs.io/en/latest/
+#
+# Here's the image we're going to play with:
+#
+# .. image:: ../_static/stinkbug.png
+#
+# It's a 24-bit RGB PNG image (8 bits for each of R, G, B).  Depending
+# on where you get your data, the other kinds of image that you'll most
+# likely encounter are RGBA images, which allow for transparency, or
+# single-channel grayscale (luminosity) images.  Download `stinkbug.png
+# <https://raw.githubusercontent.com/matplotlib/matplotlib/main/doc/_static/stinkbug.png>`_
+# to your computer for the rest of this tutorial.
+#
+# We use Pillow to open an image (with `PIL.Image.open`), and immediately
+# convert the `PIL.Image.Image` object into an 8-bit (``dtype=uint8``) numpy
+# array.
+
+img = np.asarray(Image.open('../../doc/_static/stinkbug.png'))
+print(repr(img))
+
+# %%
+# Each inner list represents a pixel.  Here, with an RGB image, there
+# are 3 values.  Since it's a black and white image, R, G, and B are all
+# similar.  An RGBA (where A is alpha, or transparency) has 4 values
+# per inner list, and a simple luminance image just has one value (and
+# is thus only a 2-D array, not a 3-D array).  For RGB and RGBA images,
+# Matplotlib supports float32 and uint8 data types.  For grayscale,
+# Matplotlib supports only float32.  If your array data does not meet
+# one of these descriptions, you need to rescale it.
+#
+# .. _plotting_data:
+#
+# Plotting numpy arrays as images
+# ===================================
+#
+# So, you have your data in a numpy array (either by importing it, or by
+# generating it).  Let's render it.  In Matplotlib, this is performed
+# using the :func:`~matplotlib.pyplot.imshow` function.  Here we'll grab
+# the plot object.  This object gives you an easy way to manipulate the
+# plot from the prompt.
+
+imgplot = plt.imshow(img)
+
+# %%
+# You can also plot any numpy array.
+#
+# .. _Pseudocolor:
+#
+# Applying pseudocolor schemes to image plots
+# -------------------------------------------------
+#
+# Pseudocolor can be a useful tool for enhancing contrast and
+# visualizing your data more easily.  This is especially useful when
+# making presentations of your data using projectors - their contrast is
+# typically quite poor.
+#
+# Pseudocolor is only relevant to single-channel, grayscale, luminosity
+# images.  We currently have an RGB image.  Since R, G, and B are all
+# similar (see for yourself above or in your data), we can just pick one
+# channel of our data using array slicing (you can read more in the
+# `Numpy tutorial <https://numpy.org/doc/stable/user/quickstart.html
+# #indexing-slicing-and-iterating>`_):
+
+lum_img = img[:, :, 0]
+plt.imshow(lum_img)
+
+# %%
+# Now, with a luminosity (2D, no color) image, the default colormap (aka lookup table,
+# LUT), is applied.  The default is called viridis.  There are plenty of
+# others to choose from.
+
+plt.imshow(lum_img, cmap="hot")
+
+# %%
+# Note that you can also change colormaps on existing plot objects using the
+# :meth:`~matplotlib.cm.ScalarMappable.set_cmap` method:
+
+imgplot = plt.imshow(lum_img)
+imgplot.set_cmap('nipy_spectral')
+
+# %%
+#
+# .. note::
+#
+#    However, remember that in the Jupyter Notebook with the inline backend,
+#    you can't make changes to plots that have already been rendered.  If you
+#    create imgplot here in one cell, you cannot call set_cmap() on it in a later
+#    cell and expect the earlier plot to change.  Make sure that you enter these
+#    commands together in one cell.  plt commands will not change plots from earlier
+#    cells.
+#
+# There are many other colormap schemes available.  See the :ref:`list and images
+# of the colormaps<colormaps>`.
+#
+# .. _`Color Bars`:
+#
+# Color scale reference
+# ------------------------
+#
+# It's helpful to have an idea of what value a color represents.  We can
+# do that by adding a color bar to your figure:
+
+imgplot = plt.imshow(lum_img)
+plt.colorbar()
+
+# %%
+# .. _`Data ranges`:
+#
+# Examining a specific data range
+# ---------------------------------
+#
+# Sometimes you want to enhance the contrast in your image, or expand
+# the contrast in a particular region while sacrificing the detail in
+# colors that don't vary much, or don't matter.  A good tool to find
+# interesting regions is the histogram.  To create a histogram of our
+# image data, we use the :func:`~matplotlib.pyplot.hist` function.
+
+plt.hist(lum_img.ravel(), bins=range(256), fc='k', ec='k')
+
+# %%
+# Most often, the "interesting" part of the image is around the peak,
+# and you can get extra contrast by clipping the regions above and/or
+# below the peak.  In our histogram, it looks like there's not much
+# useful information in the high end (not many white things in the
+# image).  Let's adjust the upper limit, so that we effectively "zoom in
+# on" part of the histogram.  We do this by setting *clim*, the colormap
+# limits.
+#
+# This can be done by passing a *clim* keyword argument in the call to
+# ``imshow``.
+
+plt.imshow(lum_img, clim=(0, 175))
+
+# %%
+# This can also be done by calling the
+# :meth:`~matplotlib.cm.ScalarMappable.set_clim` method of the returned image
+# plot object, but make sure that you do so in the same cell as your plot
+# command when working with the Jupyter Notebook - it will not change
+# plots from earlier cells.
+
+imgplot = plt.imshow(lum_img)
+imgplot.set_clim(0, 175)
+
+# %%
+# .. _Interpolation:
+#
+# Array Interpolation schemes
+# ---------------------------
+#
+# Interpolation calculates what the color or value of a pixel "should"
+# be, according to different mathematical schemes.  One common place
+# that this happens is when you resize an image.  The number of pixels
+# change, but you want the same information.  Since pixels are discrete,
+# there's missing space.  Interpolation is how you fill that space.
+# This is why your images sometimes come out looking pixelated when you
+# blow them up.  The effect is more pronounced when the difference
+# between the original image and the expanded image is greater.  Let's
+# take our image and shrink it.  We're effectively discarding pixels,
+# only keeping a select few.  Now when we plot it, that data gets blown
+# up to the size on your screen.  The old pixels aren't there anymore,
+# and the computer has to draw in pixels to fill that space.
+#
+# We'll use the Pillow library that we used to load the image also to resize
+# the image.
+
+img = Image.open('../../doc/_static/stinkbug.png')
+img.thumbnail((64, 64))  # resizes image in-place
+imgplot = plt.imshow(img)
+
+# %%
+# Here we use the default interpolation ("nearest"), since we did not
+# give :func:`~matplotlib.pyplot.imshow` any interpolation argument.
+#
+# Let's try some others. Here's "bilinear":
+
+imgplot = plt.imshow(img, interpolation="bilinear")
+
+# %%
+# and bicubic:
+
+imgplot = plt.imshow(img, interpolation="bicubic")
+
+# %%
+# Bicubic interpolation is often used when blowing up photos - people
+# tend to prefer blurry over pixelated.
diff --git a/galleries/tutorials/index.rst b/galleries/tutorials/index.rst
new file mode 100644
index 000000000000..ace37dcb6f57
--- /dev/null
+++ b/galleries/tutorials/index.rst
@@ -0,0 +1,159 @@
+.. _tutorials:
+
+Tutorials
+=========
+
+This page contains a few tutorials for using Matplotlib.  For the old tutorials, see :ref:`below <user_guide_tutorials>`.
+
+For shorter examples, see our :ref:`examples page <examples-index>`.
+You can also find :ref:`external resources <resources-index>` and
+a :ref:`FAQ <faq-index>` in our :ref:`user guide <users-guide-index>`.
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="An introduction to the pyplot interface.  Please also see quick_start for an overview of how Ma...">
+
+.. only:: html
+
+  .. image:: /tutorials/images/thumb/sphx_glr_pyplot_thumb.png
+    :alt: Pyplot tutorial
+
+  :ref:`sphx_glr_tutorials_pyplot.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Pyplot tutorial</div>
+    </div>
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="A short tutorial on plotting images with Matplotlib.">
+
+.. only:: html
+
+  .. image:: /tutorials/images/thumb/sphx_glr_images_thumb.png
+    :alt: Image tutorial
+
+  :ref:`sphx_glr_tutorials_images.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Image tutorial</div>
+    </div>
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial aims to show the beginning, middle, and end of a single visualization using Matpl...">
+
+.. only:: html
+
+  .. image:: /tutorials/images/thumb/sphx_glr_lifecycle_thumb.png
+    :alt: The Lifecycle of a Plot
+
+  :ref:`sphx_glr_tutorials_lifecycle.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">The Lifecycle of a Plot</div>
+    </div>
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Using Artist objects to render on the canvas.">
+
+.. only:: html
+
+  .. image:: /tutorials/images/thumb/sphx_glr_artists_thumb.png
+    :alt: Artist tutorial
+
+  :ref:`sphx_glr_tutorials_artists.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Artist tutorial</div>
+    </div>
+
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /tutorials/pyplot
+   /tutorials/images
+   /tutorials/lifecycle
+   /tutorials/artists
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-gallery
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download all examples in Python source code: tutorials_python.zip </tutorials/tutorials_python.zip>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download all examples in Jupyter notebooks: tutorials_jupyter.zip </tutorials/tutorials_jupyter.zip>`
+
+
+
+.. _user_guide_tutorials:
+
+User guide tutorials
+--------------------
+
+Many of our tutorials were moved from this section to :ref:`users-guide-index`:
+
+Introductory
+^^^^^^^^^^^^
+
+- :ref:`quick_start`
+- :ref:`customizing`
+- :ref:`animations`
+
+Intermediate
+^^^^^^^^^^^^
+
+- :ref:`legend_guide`
+- :ref:`color_cycle`
+- :ref:`constrainedlayout_guide`
+- :ref:`tight_layout_guide`
+- :ref:`arranging_axes`
+- :ref:`autoscale`
+- :ref:`imshow_extent`
+
+Advanced
+^^^^^^^^
+
+- :ref:`blitting`
+- :ref:`paths`
+- :ref:`patheffects_guide`
+- :ref:`transforms_tutorial`
+
+Colors
+^^^^^^
+
+See :ref:`tutorials-colors`.
+
+Text
+^^^^
+
+See :ref:`tutorials-text`.
+
+Toolkits
+^^^^^^^^
+
+See :ref:`tutorials-toolkits`.
diff --git a/galleries/tutorials/lifecycle.py b/galleries/tutorials/lifecycle.py
new file mode 100644
index 000000000000..4aae4d6c1dbc
--- /dev/null
+++ b/galleries/tutorials/lifecycle.py
@@ -0,0 +1,279 @@
+"""
+.. redirect-from:: /tutorials/introductory/lifecycle
+
+=======================
+The Lifecycle of a Plot
+=======================
+
+This tutorial aims to show the beginning, middle, and end of a single
+visualization using Matplotlib. We'll begin with some raw data and
+end by saving a figure of a customized visualization. Along the way we try
+to highlight some neat features and best-practices using Matplotlib.
+
+.. currentmodule:: matplotlib
+
+.. note::
+
+    This tutorial is based on
+    `this excellent blog post
+    <https://pbpython.com/effective-matplotlib.html>`_
+    by Chris Moffitt. It was transformed into this tutorial by Chris Holdgraf.
+
+A note on the explicit vs. implicit interfaces
+==============================================
+
+Matplotlib has two interfaces. For an explanation of the trade-offs between the
+explicit and implicit interfaces see :ref:`api_interfaces`.
+
+In the explicit object-oriented (OO) interface we directly utilize instances of
+:class:`axes.Axes` to build up the visualization in an instance of
+:class:`figure.Figure`.  In the implicit interface, inspired by and modeled on
+MATLAB, we use a global state-based interface which is encapsulated in the
+:mod:`.pyplot` module to plot to the "current Axes".  See the :ref:`pyplot
+tutorials <pyplot_tutorial>` for a more in-depth look at the
+pyplot interface.
+
+Most of the terms are straightforward but the main thing to remember
+is that:
+
+* The `.Figure` is the final image, and may contain one or more `~.axes.Axes`.
+* The `~.axes.Axes` represents an individual plot (not to be confused with
+   `~.axis.Axis`, which refers to the x-, y-, or z-axis of a plot).
+
+We call methods that do the plotting directly from the Axes, which gives
+us much more flexibility and power in customizing our plot.
+
+.. note::
+
+   In general, use the explicit interface over the implicit pyplot interface
+   for plotting.
+
+Our data
+========
+
+We'll use the data from the post from which this tutorial was derived.
+It contains sales information for a number of companies.
+
+"""
+
+import matplotlib.pyplot as plt
+# sphinx_gallery_thumbnail_number = 10
+import numpy as np
+
+data = {'Barton LLC': 109438.50,
+        'Frami, Hills and Schmidt': 103569.59,
+        'Fritsch, Russel and Anderson': 112214.71,
+        'Jerde-Hilpert': 112591.43,
+        'Keeling LLC': 100934.30,
+        'Koepp Ltd': 103660.54,
+        'Kulas Inc': 137351.96,
+        'Trantow-Barrows': 123381.38,
+        'White-Trantow': 135841.99,
+        'Will LLC': 104437.60}
+group_data = list(data.values())
+group_names = list(data.keys())
+group_mean = np.mean(group_data)
+
+# %%
+# Getting started
+# ===============
+#
+# This data is naturally visualized as a barplot, with one bar per
+# group. To do this with the object-oriented approach, we first generate
+# an instance of :class:`figure.Figure` and
+# :class:`axes.Axes`. The Figure is like a canvas, and the Axes
+# is a part of that canvas on which we will make a particular visualization.
+#
+# .. note::
+#
+#    Figures can have multiple Axes on them. For information on how to do this,
+#    see the :ref:`Tight Layout tutorial
+#    <tight_layout_guide>`.
+
+fig, ax = plt.subplots()
+
+# %%
+# Now that we have an Axes instance, we can plot on top of it.
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+
+# %%
+# Controlling the style
+# =====================
+#
+# There are many styles available in Matplotlib in order to let you tailor
+# your visualization to your needs. To see a list of styles, we can use
+# :mod:`.style`.
+
+print(plt.style.available)
+
+# %%
+# You can activate a style with the following:
+
+plt.style.use('fivethirtyeight')
+
+# %%
+# Now let's remake the above plot to see how it looks:
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+
+# %%
+# The style controls many things, such as color, linewidths, backgrounds,
+# etc.
+#
+# Customizing the plot
+# ====================
+#
+# Now we've got a plot with the general look that we want, so let's fine-tune
+# it so that it's ready for print. First let's rotate the labels on the x-axis
+# so that they show up more clearly. We can gain access to these labels
+# with the :meth:`axes.Axes.get_xticklabels` method:
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+
+# %%
+# If we'd like to set the property of many items at once, it's useful to use
+# the :func:`pyplot.setp` function. This will take a list (or many lists) of
+# Matplotlib objects, and attempt to set some style element of each one.
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+
+# %%
+# It looks like this cut off some of the labels on the bottom. We can
+# tell Matplotlib to automatically make room for elements in the figures
+# that we create. To do this we set the ``autolayout`` value of our
+# rcParams. For more information on controlling the style, layout, and
+# other features of plots with rcParams, see
+# :ref:`customizing`.
+
+plt.rcParams.update({'figure.autolayout': True})
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+
+# %%
+# Next, we add labels to the plot. To do this with the OO interface,
+# we can use the :meth:`.Artist.set` method to set properties of this
+# Axes object.
+
+fig, ax = plt.subplots()
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',
+       title='Company Revenue')
+
+# %%
+# We can also adjust the size of this plot using the :func:`pyplot.subplots`
+# function. We can do this with the *figsize* keyword argument.
+#
+# .. note::
+#
+#    While indexing in NumPy follows the form (row, column), the *figsize*
+#    keyword argument follows the form (width, height). This follows
+#    conventions in visualization, which unfortunately are different from those
+#    of linear algebra.
+
+fig, ax = plt.subplots(figsize=(8, 4))
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',
+       title='Company Revenue')
+
+# %%
+# For labels, we can specify custom formatting guidelines in the form of
+# functions. Below we define a function that takes an integer as input, and
+# returns a string as an output. When used with `.Axis.set_major_formatter` or
+# `.Axis.set_minor_formatter`, they will automatically create and use a
+# :class:`ticker.FuncFormatter` class.
+#
+# For this function, the ``x`` argument is the original tick label and ``pos``
+# is the tick position.  We will only use ``x`` here but both arguments are
+# needed.
+
+
+def currency(x, pos):
+    """The two arguments are the value and tick position"""
+    if x >= 1e6:
+        s = f'${x*1e-6:1.1f}M'
+    else:
+        s = f'${x*1e-3:1.0f}K'
+    return s
+
+# %%
+# We can then apply this function to the labels on our plot. To do this,
+# we use the ``xaxis`` attribute of our Axes. This lets you perform
+# actions on a specific axis on our plot.
+
+fig, ax = plt.subplots(figsize=(6, 8))
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+
+ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',
+       title='Company Revenue')
+ax.xaxis.set_major_formatter(currency)
+
+# %%
+# Combining multiple visualizations
+# =================================
+#
+# It is possible to draw multiple plot elements on the same instance of
+# :class:`axes.Axes`. To do this we simply need to call another one of
+# the plot methods on that Axes object.
+
+fig, ax = plt.subplots(figsize=(8, 8))
+ax.barh(group_names, group_data)
+labels = ax.get_xticklabels()
+plt.setp(labels, rotation=45, horizontalalignment='right')
+
+# Add a vertical line, here we set the style in the function call
+ax.axvline(group_mean, ls='--', color='r')
+
+# Annotate new companies
+for group in [3, 5, 8]:
+    ax.text(145000, group, "New Company", fontsize=10,
+            verticalalignment="center")
+
+# Now we move our title up since it's getting a little cramped
+ax.title.set(y=1.05)
+
+ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',
+       title='Company Revenue')
+ax.xaxis.set_major_formatter(currency)
+ax.set_xticks([0, 25e3, 50e3, 75e3, 100e3, 125e3])
+fig.subplots_adjust(right=.1)
+
+plt.show()
+
+# %%
+# Saving our plot
+# ===============
+#
+# Now that we're happy with the outcome of our plot, we want to save it to
+# disk. There are many file formats we can save to in Matplotlib. To see
+# a list of available options, use:
+
+print(fig.canvas.get_supported_filetypes())
+
+# %%
+# We can then use the :meth:`figure.Figure.savefig` in order to save the figure
+# to disk. Note that there are several useful flags we show below:
+#
+# * ``transparent=True`` makes the background of the saved figure transparent
+#   if the format supports it.
+# * ``dpi=80`` controls the resolution (dots per square inch) of the output.
+# * ``bbox_inches="tight"`` fits the bounds of the figure to our plot.
+
+# Uncomment this line to save the figure.
+# fig.savefig('sales.png', transparent=False, dpi=80, bbox_inches="tight")
diff --git a/galleries/tutorials/pyplot.py b/galleries/tutorials/pyplot.py
new file mode 100644
index 000000000000..8062e5aa3793
--- /dev/null
+++ b/galleries/tutorials/pyplot.py
@@ -0,0 +1,476 @@
+"""
+.. redirect-from:: /tutorials/introductory/pyplot
+
+.. _pyplot_tutorial:
+
+===============
+Pyplot tutorial
+===============
+
+An introduction to the pyplot interface.  Please also see
+:ref:`quick_start` for an overview of how Matplotlib
+works and :ref:`api_interfaces` for an explanation of the trade-offs between the
+supported user APIs.
+
+"""
+
+# %%
+# Introduction to pyplot
+# ======================
+#
+# :mod:`matplotlib.pyplot` is a collection of functions that make matplotlib
+# work like MATLAB.  Each ``pyplot`` function makes some change to a figure:
+# e.g., creates a figure, creates a plotting area in a figure, plots some lines
+# in a plotting area, decorates the plot with labels, etc.
+#
+# In :mod:`matplotlib.pyplot` various states are preserved
+# across function calls, so that it keeps track of things like
+# the current figure and plotting area, and the plotting
+# functions are directed to the current Axes (please note that we use uppercase
+# Axes to refer to the `~.axes.Axes` concept, which is a central
+# :ref:`part of a figure <figure_parts>`
+# and not only the plural of *axis*).
+#
+# .. note::
+#
+#    The implicit pyplot API is generally less verbose but also not as flexible as the
+#    explicit API.  Most of the function calls you see here can also be called
+#    as methods from an ``Axes`` object. We recommend browsing the tutorials
+#    and examples to see how this works. See :ref:`api_interfaces` for an
+#    explanation of the trade-off of the supported user APIs.
+#
+# Generating visualizations with pyplot is very quick:
+
+import matplotlib.pyplot as plt
+
+plt.plot([1, 2, 3, 4])
+plt.ylabel('some numbers')
+plt.show()
+
+# %%
+# You may be wondering why the x-axis ranges from 0-3 and the y-axis
+# from 1-4.  If you provide a single list or array to
+# `~.pyplot.plot`, matplotlib assumes it is a
+# sequence of y values, and automatically generates the x values for
+# you.  Since python ranges start with 0, the default x vector has the
+# same length as y but starts with 0; therefore, the x data are
+# ``[0, 1, 2, 3]``.
+#
+# `~.pyplot.plot` is a versatile function, and will take an arbitrary number of
+# arguments.  For example, to plot x versus y, you can write:
+
+plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
+
+# %%
+# Formatting the style of your plot
+# ---------------------------------
+#
+# For every x, y pair of arguments, there is an optional third argument
+# which is the format string that indicates the color and line type of
+# the plot.  The letters and symbols of the format string are from
+# MATLAB, and you concatenate a color string with a line style string.
+# The default format string is 'b-', which is a solid blue line.  For
+# example, to plot the above with red circles, you would issue
+
+plt.plot([1, 2, 3, 4], [1, 4, 9, 16], 'ro')
+plt.axis((0, 6, 0, 20))
+plt.show()
+
+# %%
+# See the `~.pyplot.plot` documentation for a complete
+# list of line styles and format strings.  The
+# `~.pyplot.axis` function in the example above takes a
+# list of ``[xmin, xmax, ymin, ymax]`` and specifies the viewport of the
+# Axes.
+#
+# If matplotlib were limited to working with lists, it would be fairly
+# useless for numeric processing.  Generally, you will use `numpy
+# <https://numpy.org/>`_ arrays.  In fact, all sequences are
+# converted to numpy arrays internally.  The example below illustrates
+# plotting several lines with different format styles in one function call
+# using arrays.
+
+import numpy as np
+
+# evenly sampled time at 200ms intervals
+t = np.arange(0., 5., 0.2)
+
+# red dashes, blue squares and green triangles
+plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
+plt.show()
+
+# %%
+# .. _plotting-with-keywords:
+#
+# Plotting with keyword strings
+# =============================
+#
+# There are some instances where you have data in a format that lets you
+# access particular variables with strings. For example, with `structured arrays`_
+# or `pandas.DataFrame`.
+#
+# .. _structured arrays: https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays
+#
+# Matplotlib allows you to provide such an object with
+# the ``data`` keyword argument. If provided, then you may generate plots with
+# the strings corresponding to these variables.
+
+data = {'a': np.arange(50),
+        'c': np.random.randint(0, 50, 50),
+        'd': np.random.randn(50)}
+data['b'] = data['a'] + 10 * np.random.randn(50)
+data['d'] = np.abs(data['d']) * 100
+
+plt.scatter('a', 'b', c='c', s='d', data=data)
+plt.xlabel('entry a')
+plt.ylabel('entry b')
+plt.show()
+
+# %%
+# .. _plotting-with-categorical-vars:
+#
+# Plotting with categorical variables
+# ===================================
+#
+# It is also possible to create a plot using categorical variables.
+# Matplotlib allows you to pass categorical variables directly to
+# many plotting functions. For example:
+
+names = ['group_a', 'group_b', 'group_c']
+values = [1, 10, 100]
+
+plt.figure(figsize=(9, 3))
+
+plt.subplot(131)
+plt.bar(names, values)
+plt.subplot(132)
+plt.scatter(names, values)
+plt.subplot(133)
+plt.plot(names, values)
+plt.suptitle('Categorical Plotting')
+plt.show()
+
+# %%
+# .. _controlling-line-properties:
+#
+# Controlling line properties
+# ===========================
+#
+# Lines have many attributes that you can set: linewidth, dash style,
+# antialiased, etc; see `matplotlib.lines.Line2D`.  There are
+# several ways to set line properties
+#
+# * Use keyword arguments::
+#
+#       plt.plot(x, y, linewidth=2.0)
+#
+#
+# * Use the setter methods of a ``Line2D`` instance.  ``plot`` returns a list
+#   of ``Line2D`` objects; e.g., ``line1, line2 = plot(x1, y1, x2, y2)``.  In the code
+#   below we will suppose that we have only
+#   one line so that the list returned is of length 1.  We use tuple unpacking with
+#   ``line,`` to get the first element of that list::
+#
+#       line, = plt.plot(x, y, '-')
+#       line.set_antialiased(False) # turn off antialiasing
+#
+# * Use `~.pyplot.setp`.  The example below
+#   uses a MATLAB-style function to set multiple properties
+#   on a list of lines.  ``setp`` works transparently with a list of objects
+#   or a single object.  You can either use python keyword arguments or
+#   MATLAB-style string/value pairs::
+#
+#       lines = plt.plot(x1, y1, x2, y2)
+#       # use keyword arguments
+#       plt.setp(lines, color='r', linewidth=2.0)
+#       # or MATLAB style string value pairs
+#       plt.setp(lines, 'color', 'r', 'linewidth', 2.0)
+#
+#
+# Here are the available `~.lines.Line2D` properties.
+#
+# ======================  ==================================================
+# Property                Value Type
+# ======================  ==================================================
+# alpha                   float
+# animated                [True | False]
+# antialiased or aa       [True | False]
+# clip_box                a matplotlib.transform.Bbox instance
+# clip_on                 [True | False]
+# clip_path               a Path instance and a Transform instance, a Patch
+# color or c              any matplotlib color
+# contains                the hit testing function
+# dash_capstyle           [``'butt'`` | ``'round'`` | ``'projecting'``]
+# dash_joinstyle          [``'miter'`` | ``'round'`` | ``'bevel'``]
+# dashes                  sequence of on/off ink in points
+# data                    (np.array xdata, np.array ydata)
+# figure                  a matplotlib.figure.Figure instance
+# label                   any string
+# linestyle or ls         [ ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'steps'`` | ...]
+# linewidth or lw         float value in points
+# marker                  [ ``'+'`` | ``','`` | ``'.'`` | ``'1'`` | ``'2'`` | ``'3'`` | ``'4'`` ]
+# markeredgecolor or mec  any matplotlib color
+# markeredgewidth or mew  float value in points
+# markerfacecolor or mfc  any matplotlib color
+# markersize or ms        float
+# markevery               [ None | integer | (startind, stride) ]
+# picker                  used in interactive line selection
+# pickradius              the line pick selection radius
+# solid_capstyle          [``'butt'`` | ``'round'`` | ``'projecting'``]
+# solid_joinstyle         [``'miter'`` | ``'round'`` | ``'bevel'``]
+# transform               a matplotlib.transforms.Transform instance
+# visible                 [True | False]
+# xdata                   np.array
+# ydata                   np.array
+# zorder                  any number
+# ======================  ==================================================
+#
+# To get a list of settable line properties, call the
+# `~.pyplot.setp` function with a line or lines as argument
+#
+# .. sourcecode:: ipython
+#
+#     In [69]: lines = plt.plot([1, 2, 3])
+#
+#     In [70]: plt.setp(lines)
+#       alpha: float
+#       animated: [True | False]
+#       antialiased or aa: [True | False]
+#       ...snip
+#
+# .. _multiple-figs-axes:
+#
+#
+# Working with multiple figures and Axes
+# ======================================
+#
+# MATLAB, and :mod:`.pyplot`, have the concept of the current figure
+# and the current Axes.  All plotting functions apply to the current
+# Axes.  The function `~.pyplot.gca` returns the current Axes (a
+# `matplotlib.axes.Axes` instance), and `~.pyplot.gcf` returns the current
+# figure (a `matplotlib.figure.Figure` instance). Normally, you don't have to
+# worry about this, because it is all taken care of behind the scenes.  Below
+# is a script to create two subplots.
+
+
+def f(t):
+    return np.exp(-t) * np.cos(2*np.pi*t)
+
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+
+plt.figure()
+plt.subplot(211)
+plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
+
+plt.subplot(212)
+plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
+plt.show()
+
+# %%
+# The `~.pyplot.figure` call here is optional because a figure will be created
+# if none exists, just as an Axes will be created (equivalent to an explicit
+# ``subplot()`` call) if none exists.
+# The `~.pyplot.subplot` call specifies ``numrows,
+# numcols, plot_number`` where ``plot_number`` ranges from 1 to
+# ``numrows*numcols``.  The commas in the ``subplot`` call are
+# optional if ``numrows*numcols<10``.  So ``subplot(211)`` is identical
+# to ``subplot(2, 1, 1)``.
+#
+# You can create an arbitrary number of subplots
+# and Axes.  If you want to place an Axes manually, i.e., not on a
+# rectangular grid, use `~.pyplot.axes`,
+# which allows you to specify the location as ``axes([left, bottom,
+# width, height])`` where all values are in fractional (0 to 1)
+# coordinates.  See :doc:`/gallery/subplots_axes_and_figures/axes_demo` for an example of
+# placing Axes manually and :doc:`/gallery/subplots_axes_and_figures/subplot` for an
+# example with lots of subplots.
+#
+# You can create multiple figures by using multiple
+# `~.pyplot.figure` calls with an increasing figure
+# number.  Of course, each figure can contain as many Axes and subplots
+# as your heart desires::
+#
+#     import matplotlib.pyplot as plt
+#     plt.figure(1)                # the first figure
+#     plt.subplot(211)             # the first subplot in the first figure
+#     plt.plot([1, 2, 3])
+#     plt.subplot(212)             # the second subplot in the first figure
+#     plt.plot([4, 5, 6])
+#
+#
+#     plt.figure(2)                # a second figure
+#     plt.plot([4, 5, 6])          # creates a subplot() by default
+#
+#     plt.figure(1)                # first figure current;
+#                                  # subplot(212) still current
+#     plt.subplot(211)             # make subplot(211) in the first figure
+#                                  # current
+#     plt.title('Easy as 1, 2, 3') # subplot 211 title
+#
+# You can clear the current figure with `~.pyplot.clf`
+# and the current Axes with `~.pyplot.cla`.  If you find
+# it annoying that states (specifically the current image, figure and Axes)
+# are being maintained for you behind the scenes, don't despair: this is just a thin
+# stateful wrapper around an object-oriented API, which you can use
+# instead (see :ref:`artists_tutorial`)
+#
+# If you are making lots of figures, you need to be aware of one
+# more thing: the memory required for a figure is not completely
+# released until the figure is explicitly closed with
+# `~.pyplot.close`.  Deleting all references to the
+# figure, and/or using the window manager to kill the window in which
+# the figure appears on the screen, is not enough, because pyplot
+# maintains internal references until `~.pyplot.close`
+# is called.
+#
+# .. _working-with-text:
+#
+# Working with text
+# =================
+#
+# `~.pyplot.text` can be used to add text in an arbitrary location, and
+# `~.pyplot.xlabel`, `~.pyplot.ylabel` and `~.pyplot.title` are used to add
+# text in the indicated locations (see :ref:`text_intro` for a
+# more detailed example)
+
+mu, sigma = 100, 15
+x = mu + sigma * np.random.randn(10000)
+
+# the histogram of the data
+n, bins, patches = plt.hist(x, 50, density=True, facecolor='g', alpha=0.75)
+
+
+plt.xlabel('Smarts')
+plt.ylabel('Probability')
+plt.title('Histogram of IQ')
+plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
+plt.axis([40, 160, 0, 0.03])
+plt.grid(True)
+plt.show()
+
+# %%
+# All of the `~.pyplot.text` functions return a `matplotlib.text.Text`
+# instance.  Just as with lines above, you can customize the properties by
+# passing keyword arguments into the text functions or using `~.pyplot.setp`::
+#
+#   t = plt.xlabel('my data', fontsize=14, color='red')
+#
+# These properties are covered in more detail in :ref:`text_props`.
+#
+#
+# Using mathematical expressions in text
+# --------------------------------------
+#
+# Matplotlib accepts TeX equation expressions in any text expression.
+# For example to write the expression :math:`\sigma_i=15` in the title,
+# you can write a TeX expression surrounded by dollar signs::
+#
+#     plt.title(r'$\sigma_i=15$')
+#
+# The ``r`` preceding the title string is important -- it signifies
+# that the string is a *raw* string and not to treat backslashes as
+# python escapes.  matplotlib has a built-in TeX expression parser and
+# layout engine, and ships its own math fonts -- for details see
+# :ref:`mathtext`.  Thus, you can use mathematical text across
+# platforms without requiring a TeX installation.  For those who have LaTeX
+# and dvipng installed, you can also use LaTeX to format your text and
+# incorporate the output directly into your display figures or saved
+# postscript -- see :ref:`usetex`.
+#
+#
+# Annotating text
+# ---------------
+#
+# The uses of the basic `~.pyplot.text` function above
+# place text at an arbitrary position on the Axes.  A common use for
+# text is to annotate some feature of the plot, and the
+# `~.pyplot.annotate` method provides helper
+# functionality to make annotations easy.  In an annotation, there are
+# two points to consider: the location being annotated represented by
+# the argument ``xy`` and the location of the text ``xytext``.  Both of
+# these arguments are ``(x, y)`` tuples.
+
+ax = plt.subplot()
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = plt.plot(t, s, lw=2)
+
+plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
+             arrowprops=dict(facecolor='black', shrink=0.05),
+             )
+
+plt.ylim(-2, 2)
+plt.show()
+
+# %%
+# In this basic example, both the ``xy`` (arrow tip) and ``xytext``
+# locations (text location) are in data coordinates.  There are a
+# variety of other coordinate systems one can choose -- see
+# :ref:`annotations-tutorial` and :ref:`plotting-guide-annotation` for
+# details.  More examples can be found in
+# :doc:`/gallery/text_labels_and_annotations/annotation_demo`.
+#
+#
+# Logarithmic and other nonlinear axes
+# ====================================
+#
+# :mod:`matplotlib.pyplot` supports not only linear axis scales, but also
+# logarithmic and logit scales. This is commonly used if data spans many orders
+# of magnitude. Changing the scale of an axis is easy::
+#
+#     plt.xscale('log')
+#
+# An example of four plots with the same data and different scales for the y-axis
+# is shown below.
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# make up some data in the open interval (0, 1)
+y = np.random.normal(loc=0.5, scale=0.4, size=1000)
+y = y[(y > 0) & (y < 1)]
+y.sort()
+x = np.arange(len(y))
+
+# plot with various axes scales
+plt.figure()
+
+# linear
+plt.subplot(221)
+plt.plot(x, y)
+plt.yscale('linear')
+plt.title('linear')
+plt.grid(True)
+
+# log
+plt.subplot(222)
+plt.plot(x, y)
+plt.yscale('log')
+plt.title('log')
+plt.grid(True)
+
+# symmetric log
+plt.subplot(223)
+plt.plot(x, y - y.mean())
+plt.yscale('symlog', linthresh=0.01)
+plt.title('symlog')
+plt.grid(True)
+
+# logit
+plt.subplot(224)
+plt.plot(x, y)
+plt.yscale('logit')
+plt.title('logit')
+plt.grid(True)
+# Adjust the subplot layout, because the logit one may take more space
+# than usual, due to y-tick labels like "1 - 10^{-3}"
+plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
+                    wspace=0.35)
+
+plt.show()
+
+# %%
+# It is also possible to add your own scale, see `matplotlib.scale` for
+# details.
diff --git a/galleries/users_explain/animations/README.txt b/galleries/users_explain/animations/README.txt
new file mode 100644
index 000000000000..a7d37a0242e6
--- /dev/null
+++ b/galleries/users_explain/animations/README.txt
@@ -0,0 +1,9 @@
+===========================
+Animations using Matplotlib
+===========================
+
+Based on its plotting functionality, Matplotlib also provides an interface to
+generate animations using the `~matplotlib.animation` module. An
+animation is a sequence of frames where each frame corresponds to a plot on a
+`~matplotlib.figure.Figure`. This tutorial covers a general guideline on
+how to create such animations and the different options available.
diff --git a/galleries/users_explain/animations/animations.py b/galleries/users_explain/animations/animations.py
new file mode 100644
index 000000000000..a0669956ab81
--- /dev/null
+++ b/galleries/users_explain/animations/animations.py
@@ -0,0 +1,258 @@
+"""
+.. redirect-from:: /tutorials/introductory/animation_tutorial
+
+.. _animations:
+
+===========================
+Animations using Matplotlib
+===========================
+
+Based on its plotting functionality, Matplotlib also provides an interface to
+generate animations using the `~matplotlib.animation` module. An
+animation is a sequence of frames where each frame corresponds to a plot on a
+`~matplotlib.figure.Figure`. This tutorial covers a general guideline on
+how to create such animations and the different options available.  More information is available in the API description: `~matplotlib.animation`
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.animation as animation
+
+# %%
+# Animation classes
+# =================
+#
+# The animation process in Matplotlib can be thought of in 2 different ways:
+#
+# - `~matplotlib.animation.FuncAnimation`: Generate data for first
+#   frame and then modify this data for each frame to create an animated plot.
+#
+# - `~matplotlib.animation.ArtistAnimation`: Generate a list (iterable)
+#   of artists that will draw in each frame in the animation.
+#
+# `~matplotlib.animation.FuncAnimation` is more efficient in terms of
+# speed and memory as it draws an artist once and then modifies it. On the
+# other hand `~matplotlib.animation.ArtistAnimation` is flexible as it
+# allows any iterable of artists to be animated in a sequence.
+#
+# ``FuncAnimation``
+# -----------------
+#
+# The `~matplotlib.animation.FuncAnimation` class allows us to create an
+# animation by passing a function that iteratively modifies the data of a plot.
+# This is achieved by using the *setter* methods on various
+# `~matplotlib.artist.Artist` (examples: `~matplotlib.lines.Line2D`,
+# `~matplotlib.collections.PathCollection`, etc.). A usual
+# `~matplotlib.animation.FuncAnimation` object takes a
+# `~matplotlib.figure.Figure` that we want to animate and a function
+# *func* that modifies the data plotted on the figure. It uses the *frames*
+# parameter to determine the length of the animation. The *interval* parameter
+# is used to determine time in milliseconds between drawing of two frames.
+# Animating using `.FuncAnimation` typically requires these steps:
+#
+# 1) Plot the initial figure as you would in a static plot. Save all the created
+#    artists, which are returned by the plot functions, in variables so that you can
+#    access and modify them later in the animation function.
+# 2) Create an animation function that updates the artists for a given frame.
+#    Typically, this calls ``set_*`` methods of the artists.
+# 3) Create a `.FuncAnimation`, passing the `.Figure` and the animation function.
+# 4) Save or show the animation using one of the following methods:
+#
+#    - `.pyplot.show` to show the animation in a window
+#    - `.Animation.to_html5_video` to create a HTML ``<video>`` tag
+#    - `.Animation.to_jshtml` to create HTML code with interactive JavaScript animation
+#      controls
+#    - `.Animation.save` to save the animation to a file
+#
+# The following table shows a few plotting methods, the artists they return and some
+# commonly used ``set_*`` methods that update the underlying data. While updating data
+# is the most common operation in animations, you can also update other aspects such as
+# color or text position.
+#
+# ========================================  =============================  ===========================
+# Plotting method                           Artist                         Data set methods
+# ========================================  =============================  ===========================
+# `.Axes.plot`                              `.lines.Line2D`                `~.Line2D.set_data`,
+#                                                                          `~.Line2D.set_xdata`,
+#                                                                          `~.Line2D.set_ydata`
+# `.Axes.scatter`                           `.collections.PathCollection`  `~.collections.\
+#                                                                          PathCollection.set_offsets`
+# `.Axes.imshow`                            `.image.AxesImage`             ``AxesImage.set_data``
+# `.Axes.annotate`                          `.text.Annotation`             `~.text.Annotation.\
+#                                                                          update_positions`
+# `.Axes.barh`                              `.patches.Rectangle`           `~.Rectangle.set_angle`,
+#                                                                          `~.Rectangle.set_bounds`,
+#                                                                          `~.Rectangle.set_height`,
+#                                                                          `~.Rectangle.set_width`,
+#                                                                          `~.Rectangle.set_x`,
+#                                                                          `~.Rectangle.set_y`,
+#                                                                          `~.Rectangle.set_xy`
+# `.Axes.fill`                              `.patches.Polygon`             `~.Polygon.set_xy`
+# `.Axes.add_patch`\(`.patches.Ellipse`\)   `.patches.Ellipse`             `~.Ellipse.set_angle`,
+#                                                                          `~.Ellipse.set_center`,
+#                                                                          `~.Ellipse.set_height`,
+#                                                                          `~.Ellipse.set_width`
+# `.Axes.set_title`, `.Axes.text`           `.text.Text`                   `~.Text.set_text`
+# ========================================  =============================  ===========================
+#
+# Covering the set methods for all types of artists is beyond the scope of this
+# tutorial but can be found in their respective documentations. An example of
+# such update methods in use for `.Axes.scatter` and `.Axes.plot` is as follows.
+
+fig, ax = plt.subplots()
+t = np.linspace(0, 3, 40)
+g = -9.81
+v0 = 12
+z = g * t**2 / 2 + v0 * t
+
+v02 = 5
+z2 = g * t**2 / 2 + v02 * t
+
+scat = ax.scatter(t[0], z[0], c="b", s=5, label=f'v0 = {v0} m/s')
+line2 = ax.plot(t[0], z2[0], label=f'v0 = {v02} m/s')[0]
+ax.set(xlim=[0, 3], ylim=[-4, 10], xlabel='Time [s]', ylabel='Z [m]')
+ax.legend()
+
+
+def update(frame):
+    # for each frame, update the data stored on each artist.
+    x = t[:frame]
+    y = z[:frame]
+    # update the scatter plot:
+    data = np.stack([x, y]).T
+    scat.set_offsets(data)
+    # update the line plot:
+    line2.set_xdata(t[:frame])
+    line2.set_ydata(z2[:frame])
+    return (scat, line2)
+
+
+ani = animation.FuncAnimation(fig=fig, func=update, frames=40, interval=30)
+plt.show()
+
+
+# %%
+# ``ArtistAnimation``
+# -------------------
+#
+# `~matplotlib.animation.ArtistAnimation` can be used
+# to generate animations if there is data stored on various different artists.
+# This list of artists is then converted frame by frame into an animation. For
+# example, when we use `.Axes.barh` to plot a bar-chart, it creates a number of
+# artists for each of the bar and error bars. To update the plot, one would
+# need to update each of the bars from the container individually and redraw
+# them. Instead, `.animation.ArtistAnimation` can be used to plot each frame
+# individually and then stitched together to form an animation. A barchart race
+# is a simple example for this.
+
+
+fig, ax = plt.subplots()
+rng = np.random.default_rng(19680801)
+data = np.array([20, 20, 20, 20])
+x = np.array([1, 2, 3, 4])
+
+artists = []
+colors = ['tab:blue', 'tab:red', 'tab:green', 'tab:purple']
+for i in range(20):
+    data += rng.integers(low=0, high=10, size=data.shape)
+    container = ax.barh(x, data, color=colors)
+    artists.append(container)
+
+
+ani = animation.ArtistAnimation(fig=fig, artists=artists, interval=400)
+plt.show()
+
+# %%
+# Animation writers
+# =================
+#
+# Animation objects can be saved to disk using various multimedia writers
+# (ex: Pillow, *ffpmeg*, *imagemagick*). Not all video formats are supported
+# by all writers. There are 4 major types of writers:
+#
+# - `~matplotlib.animation.PillowWriter` - Uses the Pillow library to
+#   create the animation.
+#
+# - `~matplotlib.animation.HTMLWriter` - Used to create JavaScript-based
+#   animations.
+#
+# - Pipe-based writers - `~matplotlib.animation.FFMpegWriter` and
+#   `~matplotlib.animation.ImageMagickWriter` are pipe based writers.
+#   These writers pipe each frame to the utility (*ffmpeg* / *imagemagick*)
+#   which then stitches all of them together to create the animation.
+#
+# - File-based writers - `~matplotlib.animation.FFMpegFileWriter` and
+#   `~matplotlib.animation.ImageMagickFileWriter` are examples of
+#   file-based writers. These writers are slower than their pipe-based
+#   alternatives but are more useful for debugging as they save each frame in
+#   a file before stitching them together into an animation.
+#
+# Saving Animations
+# -----------------
+#
+# .. list-table::
+#    :header-rows: 1
+#
+#    * - Writer
+#      - Supported Formats
+#    * - `~matplotlib.animation.PillowWriter`
+#      - .gif, .apng, .webp
+#    * - `~matplotlib.animation.HTMLWriter`
+#      - .htm, .html, .png
+#    * - | `~matplotlib.animation.FFMpegWriter`
+#        | `~matplotlib.animation.FFMpegFileWriter`
+#      - All formats supported by |ffmpeg|_: ``ffmpeg -formats``
+#    * - | `~matplotlib.animation.ImageMagickWriter`
+#        | `~matplotlib.animation.ImageMagickFileWriter`
+#      - All formats supported by |imagemagick|_: ``magick -list format``
+#
+# .. _ffmpeg: https://www.ffmpeg.org/general.html#Supported-File-Formats_002c-Codecs-or-Features
+# .. |ffmpeg| replace:: *ffmpeg*
+#
+# .. _imagemagick: https://imagemagick.org/script/formats.php#supported
+# .. |imagemagick| replace:: *imagemagick*
+#
+# To save animations using any of the writers, we can use the
+# `.animation.Animation.save` method. It takes the *filename* that we want to
+# save the animation as and the *writer*, which is either a string or a writer
+# object. It also takes an *fps* argument. This argument is different than the
+# *interval* argument that `~.animation.FuncAnimation` or
+# `~.animation.ArtistAnimation` uses. *fps* determines the frame rate that the
+# **saved** animation uses, whereas *interval* determines the frame rate that
+# the **displayed** animation uses.
+#
+# Below are a few examples that show how to save an animation with different
+# writers.
+#
+#
+# Pillow writers::
+#
+#   ani.save(filename="/tmp/pillow_example.gif", writer="pillow")
+#   ani.save(filename="/tmp/pillow_example.apng", writer="pillow")
+#
+# HTML writers::
+#
+#   ani.save(filename="/tmp/html_example.html", writer="html")
+#   ani.save(filename="/tmp/html_example.htm", writer="html")
+#   ani.save(filename="/tmp/html_example.png", writer="html")
+#
+# FFMpegWriter::
+#
+#   ani.save(filename="/tmp/ffmpeg_example.mkv", writer="ffmpeg")
+#   ani.save(filename="/tmp/ffmpeg_example.mp4", writer="ffmpeg")
+#   ani.save(filename="/tmp/ffmpeg_example.mjpeg", writer="ffmpeg")
+#
+# Imagemagick writers::
+#
+#   ani.save(filename="/tmp/imagemagick_example.gif", writer="imagemagick")
+#   ani.save(filename="/tmp/imagemagick_example.webp", writer="imagemagick")
+#   ani.save(filename="apng:/tmp/imagemagick_example.apng",
+#            writer="imagemagick", extra_args=["-quality", "100"])
+#
+# (the ``extra_args`` for *apng* are needed to reduce filesize by ~10x)
+#
+# Note that *ffmpeg* and *imagemagick* need to be separately installed.
+# A cross-platform way to obtain *ffmpeg* is to install the ``imageio_ffmpeg``
+# PyPI package, and then to set
+# ``rcParams["animation.ffmpeg_path"] = imageio_ffmpeg.get_ffmpeg_exe()``.
diff --git a/galleries/users_explain/animations/blitting.py b/galleries/users_explain/animations/blitting.py
new file mode 100644
index 000000000000..725398f8cff4
--- /dev/null
+++ b/galleries/users_explain/animations/blitting.py
@@ -0,0 +1,232 @@
+"""
+.. redirect-from:: /tutorials/advanced/blitting
+
+.. _blitting:
+
+==================================
+Faster rendering by using blitting
+==================================
+
+*Blitting* is a `standard technique
+<https://en.wikipedia.org/wiki/Bit_blit>`__ in raster graphics that,
+in the context of Matplotlib, can be used to (drastically) improve
+performance of interactive figures. For example, the
+:mod:`.animation` and :mod:`.widgets` modules use blitting
+internally. Here, we demonstrate how to implement your own blitting, outside
+of these classes.
+
+Blitting speeds up repetitive drawing by rendering all non-changing
+graphic elements into a background image once. Then, for every draw, only the
+changing elements need to be drawn onto this background. For example,
+if the limits of an Axes have not changed, we can render the empty Axes
+including all ticks and labels once, and only draw the changing data later.
+
+The strategy is
+
+- Prepare the constant background:
+
+  - Draw the figure, but exclude all artists that you want to animate by
+    marking them as *animated* (see `.Artist.set_animated`).
+  - Save a copy of the RBGA buffer.
+
+- Render the individual images:
+
+  - Restore the copy of the RGBA buffer.
+  - Redraw the animated artists using `.Axes.draw_artist` /
+    `.Figure.draw_artist`.
+  - Show the resulting image on the screen.
+
+One consequence of this procedure is that your animated artists are always
+drawn on top of the static artists.
+
+Not all backends support blitting.  You can check if a given canvas does via
+the `.FigureCanvasBase.supports_blit` property.
+
+.. warning::
+
+   This code does not work with the macosx backend (but does work with other
+   GUI backends on Mac).
+
+Minimal example
+---------------
+
+We can use the `.FigureCanvasAgg` methods
+`~.FigureCanvasAgg.copy_from_bbox` and
+`~.FigureCanvasAgg.restore_region` in conjunction with setting
+``animated=True`` on our artist to implement a minimal example that
+uses blitting to accelerate rendering
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 2 * np.pi, 100)
+
+fig, ax = plt.subplots()
+
+# animated=True tells matplotlib to only draw the artist when we
+# explicitly request it
+(ln,) = ax.plot(x, np.sin(x), animated=True)
+
+# make sure the window is raised, but the script keeps going
+plt.show(block=False)
+
+# stop to admire our empty window axes and ensure it is rendered at
+# least once.
+#
+# We need to fully draw the figure at its final size on the screen
+# before we continue on so that :
+#  a) we have the correctly sized and drawn background to grab
+#  b) we have a cached renderer so that ``ax.draw_artist`` works
+# so we spin the event loop to let the backend process any pending operations
+plt.pause(0.1)
+
+# get copy of entire figure (everything inside fig.bbox) sans animated artist
+bg = fig.canvas.copy_from_bbox(fig.bbox)
+# draw the animated artist, this uses a cached renderer
+ax.draw_artist(ln)
+# show the result to the screen, this pushes the updated RGBA buffer from the
+# renderer to the GUI framework so you can see it
+fig.canvas.blit(fig.bbox)
+
+for j in range(100):
+    # reset the background back in the canvas state, screen unchanged
+    fig.canvas.restore_region(bg)
+    # update the artist, neither the canvas state nor the screen have changed
+    ln.set_ydata(np.sin(x + (j / 100) * np.pi))
+    # re-render the artist, updating the canvas state, but not the screen
+    ax.draw_artist(ln)
+    # copy the image to the GUI state, but screen might not be changed yet
+    fig.canvas.blit(fig.bbox)
+    # flush any pending GUI events, re-painting the screen if needed
+    fig.canvas.flush_events()
+    # you can put a pause in if you want to slow things down
+    # plt.pause(.1)
+
+# %%
+# This example works and shows a simple animation, however because we
+# are only grabbing the background once, if the size of the figure in
+# pixels changes (due to either the size or dpi of the figure
+# changing) , the background will be invalid and result in incorrect
+# (but sometimes cool looking!) images.  There is also a global
+# variable and a fair amount of boilerplate which suggests we should
+# wrap this in a class.
+#
+# Class-based example
+# -------------------
+#
+# We can use a class to encapsulate the boilerplate logic and state of
+# restoring the background, drawing the artists, and then blitting the
+# result to the screen.  Additionally, we can use the ``'draw_event'``
+# callback to capture a new background whenever a full re-draw
+# happens to handle resizes correctly.
+
+
+class BlitManager:
+    def __init__(self, canvas, animated_artists=()):
+        """
+        Parameters
+        ----------
+        canvas : FigureCanvasAgg
+            The canvas to work with, this only works for subclasses of the Agg
+            canvas which have the `~FigureCanvasAgg.copy_from_bbox` and
+            `~FigureCanvasAgg.restore_region` methods.
+
+        animated_artists : Iterable[Artist]
+            List of the artists to manage
+        """
+        self.canvas = canvas
+        self._bg = None
+        self._artists = []
+
+        for a in animated_artists:
+            self.add_artist(a)
+        # grab the background on every draw
+        self.cid = canvas.mpl_connect("draw_event", self.on_draw)
+
+    def on_draw(self, event):
+        """Callback to register with 'draw_event'."""
+        cv = self.canvas
+        if event is not None:
+            if event.canvas != cv:
+                raise RuntimeError
+        self._bg = cv.copy_from_bbox(cv.figure.bbox)
+        self._draw_animated()
+
+    def add_artist(self, art):
+        """
+        Add an artist to be managed.
+
+        Parameters
+        ----------
+        art : Artist
+
+            The artist to be added.  Will be set to 'animated' (just
+            to be safe).  *art* must be in the figure associated with
+            the canvas this class is managing.
+
+        """
+        if art.figure != self.canvas.figure:
+            raise RuntimeError
+        art.set_animated(True)
+        self._artists.append(art)
+
+    def _draw_animated(self):
+        """Draw all of the animated artists."""
+        fig = self.canvas.figure
+        for a in self._artists:
+            fig.draw_artist(a)
+
+    def update(self):
+        """Update the screen with animated artists."""
+        cv = self.canvas
+        fig = cv.figure
+        # paranoia in case we missed the draw event,
+        if self._bg is None:
+            self.on_draw(None)
+        else:
+            # restore the background
+            cv.restore_region(self._bg)
+            # draw all of the animated artists
+            self._draw_animated()
+            # update the GUI state
+            cv.blit(fig.bbox)
+        # let the GUI event loop process anything it has to do
+        cv.flush_events()
+
+
+# %%
+# Here is how we would use our class.  This is a slightly more complicated
+# example than the first case as we add a text frame counter as well.
+
+# make a new figure
+fig, ax = plt.subplots()
+# add a line
+(ln,) = ax.plot(x, np.sin(x), animated=True)
+# add a frame number
+fr_number = ax.annotate(
+    "0",
+    (0, 1),
+    xycoords="axes fraction",
+    xytext=(10, -10),
+    textcoords="offset points",
+    ha="left",
+    va="top",
+    animated=True,
+)
+bm = BlitManager(fig.canvas, [ln, fr_number])
+# make sure our window is on the screen and drawn
+plt.show(block=False)
+plt.pause(.1)
+
+for j in range(100):
+    # update the artists
+    ln.set_ydata(np.sin(x + (j / 100) * np.pi))
+    fr_number.set_text(f"frame: {j}")
+    # tell the blitting manager to do its thing
+    bm.update()
+
+# %%
+# This class does not depend on `.pyplot` and is suitable to embed
+# into larger GUI application.
diff --git a/galleries/users_explain/artists/artist_intro.rst b/galleries/users_explain/artists/artist_intro.rst
new file mode 100644
index 000000000000..d23c59da631d
--- /dev/null
+++ b/galleries/users_explain/artists/artist_intro.rst
@@ -0,0 +1,186 @@
+.. _users_artists:
+
+Introduction to Artists
+-----------------------
+
+Almost all objects you interact with on a Matplotlib plot are called "Artist"
+(and are subclasses of the `.Artist` class).  :doc:`Figure <../figure/index>`
+and :doc:`Axes <../axes/index>` are Artists, and generally contain
+`~.axis.Axis` Artists and Artists that contain data or annotation information.
+
+
+Creating Artists
+^^^^^^^^^^^^^^^^
+
+Usually we do not instantiate Artists directly, but rather use a plotting
+method on `~.axes.Axes`.  Some examples of plotting methods and the Artist
+object they create is given below:
+
+=========================================  =================
+Axes helper method                         Artist
+=========================================  =================
+`~.axes.Axes.annotate` - text annotations  `.Annotation`
+`~.axes.Axes.bar` - bar charts             `.Rectangle`
+`~.axes.Axes.errorbar` - error bar plots   `.Line2D` and
+                                           `.Rectangle`
+`~.axes.Axes.fill` - shared area           `.Polygon`
+`~.axes.Axes.hist` - histograms            `.Rectangle`
+`~.axes.Axes.imshow` - image data          `.AxesImage`
+`~.axes.Axes.legend` - Axes legend         `.Legend`
+`~.axes.Axes.plot` - xy plots              `.Line2D`
+`~.axes.Axes.scatter` - scatter charts     `.PolyCollection`
+`~.axes.Axes.text` - text                  `.Text`
+=========================================  =================
+
+As an example, we can save the Line2D Artist returned from `.axes.Axes.plot`:
+
+.. sourcecode:: ipython
+
+    In [209]: import matplotlib.pyplot as plt
+    In [210]: import matplotlib.artist as martist
+    In [211]: import numpy as np
+
+    In [212]: fig, ax = plt.subplots()
+    In [213]: x, y = np.random.rand(2, 100)
+    In [214]: lines = ax.plot(x, y, '-', label='example')
+    In [215]: print(lines)
+    [<matplotlib.lines.Line2D at 0xd378b0c>]
+
+Note that ``plot`` returns a _list_ of lines because you can pass in multiple x,
+y pairs to plot.  The line has been added to the Axes, and we can retrieve the
+Artist via `~.Axes.get_lines()`:
+
+.. sourcecode:: ipython
+
+    In [216]: print(ax.get_lines())
+    <a list of 1 Line2D objects>
+    In [217]: print(ax.get_lines()[0])
+    Line2D(example)
+
+Changing Artist properties
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Getting the ``lines`` object gives us access to all the properties of the
+Line2D object.  So if we want to change the *linewidth* after the fact, we can do so using `.Artist.set`.
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(4, 2.5))
+    x = np.arange(0, 13, 0.2)
+    y = np.sin(x)
+    lines = ax.plot(x, y, '-', label='example', linewidth=0.2, color='blue')
+    lines[0].set(color='green', linewidth=2)
+
+We can interrogate the full list of settable properties with
+`matplotlib.artist.getp`:
+
+.. sourcecode:: ipython
+
+    In [218]: martist.getp(lines[0])
+    agg_filter = None
+    alpha = None
+    animated = False
+    antialiased or aa = True
+    bbox = Bbox(x0=0.004013842290585101, y0=0.013914221641967...
+    children = []
+    clip_box = TransformedBbox(     Bbox(x0=0.0, y0=0.0, x1=1.0, ...
+    clip_on = True
+    clip_path = None
+    color or c = blue
+    dash_capstyle = butt
+    dash_joinstyle = round
+    data = (array([0.91377845, 0.58456834, 0.36492019, 0.0379...
+    drawstyle or ds = default
+    figure = Figure(550x450)
+    fillstyle = full
+    gapcolor = None
+    gid = None
+    in_layout = True
+    label = example
+    linestyle or ls = -
+    linewidth or lw = 2.0
+    marker = None
+    markeredgecolor or mec = blue
+    markeredgewidth or mew = 1.0
+    markerfacecolor or mfc = blue
+    markerfacecoloralt or mfcalt = none
+    markersize or ms = 6.0
+    markevery = None
+    mouseover = False
+    path = Path(array([[0.91377845, 0.51224793],        [0.58...
+    path_effects = []
+    picker = None
+    pickradius = 5
+    rasterized = False
+    sketch_params = None
+    snap = None
+    solid_capstyle = projecting
+    solid_joinstyle = round
+    tightbbox = Bbox(x0=70.4609002763619, y0=54.321277798941786, x...
+    transform = CompositeGenericTransform(     TransformWrapper(  ...
+    transformed_clip_path_and_affine = (None, None)
+    url = None
+    visible = True
+    window_extent = Bbox(x0=70.4609002763619, y0=54.321277798941786, x...
+    xdata = [0.91377845 0.58456834 0.36492019 0.03796664 0.884...
+    xydata = [[0.91377845 0.51224793]  [0.58456834 0.9820474 ] ...
+    ydata = [0.51224793 0.9820474  0.24469912 0.61647032 0.483...
+    zorder = 2
+
+Note most Artists also have a distinct list of setters; e.g.
+`.Line2D.set_color` or `.Line2D.set_linewidth`.
+
+Changing Artist data
+^^^^^^^^^^^^^^^^^^^^
+
+In addition to styling properties like *color* and *linewidth*, the Line2D
+object has a *data* property.  You can set the data after the line has been
+created using `.Line2D.set_data`.  This is often used for Animations, where the
+same line is shown evolving over time (see :doc:`../animations/index`)
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(4, 2.5))
+    x = np.arange(0, 13, 0.2)
+    y = np.sin(x)
+    lines = ax.plot(x, y, '-', label='example')
+    lines[0].set_data([x, np.cos(x)])
+
+Manually adding Artists
+^^^^^^^^^^^^^^^^^^^^^^^
+
+Not all Artists have helper methods, or you may want to use a low-level method
+for some reason.  For example the `.patches.Circle` Artist does not have a
+helper, but we can still create and add to an Axes using the
+`.axes.Axes.add_artist` method:
+
+.. plot::
+    :include-source:
+
+    import matplotlib.patches as mpatches
+
+    fig, ax = plt.subplots(figsize=(4, 2.5))
+    circle = mpatches.Circle((0.5, 0.5), 0.25, ec="none")
+    ax.add_artist(circle)
+    clipped_circle = mpatches.Circle((1, 0.5), 0.125, ec="none", facecolor='C1')
+    ax.add_artist(clipped_circle)
+    ax.set_aspect(1)
+
+The Circle takes the center and radius of the Circle as arguments to its
+constructor; optional arguments are passed as keyword arguments.
+
+Note that when we add an Artist manually like this, it doesn't necessarily
+adjust the axis limits like most of the helper methods do, so the Artists can
+be clipped, as is the case above for the ``clipped_circle`` patch.
+
+See :ref:`artist_reference` for other patches.
+
+Removing Artists
+^^^^^^^^^^^^^^^^
+
+Sometimes we want to remove an Artist from a figure without re-specifying the
+whole figure from scratch.  Most Artists have a usable *remove* method that
+will remove the Artist from its Axes list. For instance ``lines[0].remove()``
+would remove the *Line2D* artist created in the example above.
diff --git a/galleries/users_explain/artists/color_cycle.py b/galleries/users_explain/artists/color_cycle.py
new file mode 100644
index 000000000000..aa978e62b269
--- /dev/null
+++ b/galleries/users_explain/artists/color_cycle.py
@@ -0,0 +1,142 @@
+"""
+.. redirect-from:: /tutorials/intermediate/color_cycle
+
+.. _color_cycle:
+
+===================
+Styling with cycler
+===================
+
+Demo of custom property-cycle settings to control colors and other style
+properties for multi-line plots.
+
+.. note::
+
+    More complete documentation of the ``cycler`` API can be found
+    `here <https://matplotlib.org/cycler/>`_.
+
+This example demonstrates two different APIs:
+
+1. Setting the rc parameter specifying the default property cycle.
+   This affects all subsequent Axes (but not Axes already created).
+2. Setting the property cycle for a single pair of Axes.
+
+"""
+from cycler import cycler
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# %%
+# First we'll generate some sample data, in this case, four offset sine
+# curves.
+x = np.linspace(0, 2 * np.pi, 50)
+offsets = np.linspace(0, 2 * np.pi, 4, endpoint=False)
+yy = np.transpose([np.sin(x + phi) for phi in offsets])
+
+# %%
+# Now ``yy`` has shape
+print(yy.shape)
+
+# %%
+# So ``yy[:, i]`` will give you the ``i``-th offset sine curve. Let's set the
+# default ``prop_cycle`` using :func:`matplotlib.pyplot.rc`.  We'll combine a
+# color cycler and a linestyle cycler by adding (``+``) two ``cycler``'s
+# together.  See the bottom of this tutorial for more information about
+# combining different cyclers.
+default_cycler = (cycler(color=['r', 'g', 'b', 'y']) +
+                  cycler(linestyle=['-', '--', ':', '-.']))
+
+plt.rc('lines', linewidth=4)
+plt.rc('axes', prop_cycle=default_cycler)
+
+# %%
+# Now we'll generate a figure with two Axes, one on top of the other. On the
+# first axis, we'll plot with the default cycler. On the second axis, we'll
+# set the ``prop_cycle`` using :func:`matplotlib.axes.Axes.set_prop_cycle`,
+# which will only set the ``prop_cycle`` for this :mod:`matplotlib.axes.Axes`
+# instance. We'll use a second ``cycler`` that combines a color cycler and a
+# linewidth cycler.
+custom_cycler = (cycler(color=['c', 'm', 'y', 'k']) +
+                 cycler(lw=[1, 2, 3, 4]))
+
+fig, (ax0, ax1) = plt.subplots(nrows=2)
+ax0.plot(yy)
+ax0.set_title('Set default color cycle to rgby')
+ax1.set_prop_cycle(custom_cycler)
+ax1.plot(yy)
+ax1.set_title('Set axes color cycle to cmyk')
+
+# Add a bit more space between the two plots.
+fig.subplots_adjust(hspace=0.3)
+plt.show()
+
+# %%
+# Setting ``prop_cycle`` in the :file:`matplotlibrc` file or style files
+# ----------------------------------------------------------------------
+#
+# Remember, a custom cycler can be set in your :file:`matplotlibrc`
+# file or a style file (:file:`style.mplstyle`) under ``axes.prop_cycle``, e.g.
+#
+# .. code-block:: none
+#
+#    axes.prop_cycle : cycler(color=['red', 'royalblue', 'gray'])
+#
+# For colors, a single string may be used either for one of the
+# :doc:`/gallery/color/color_sequences`
+#
+# .. code-block:: none
+#
+#    axes.prop_cycle : cycler(color='Accent')
+#
+# or if each color has a single character name:
+#
+# .. code-block:: none
+#
+#    axes.prop_cycle : cycler(color='bgrcmyk')
+#
+# Cycling through multiple properties
+# -----------------------------------
+#
+# You can add cyclers:
+#
+# .. code-block:: python
+#
+#    from cycler import cycler
+#    cc = (cycler(color=list('rgb')) +
+#          cycler(linestyle=['-', '--', '-.']))
+#    for d in cc:
+#        print(d)
+#
+# Results in:
+#
+# .. code-block:: python
+#
+#     {'color': 'r', 'linestyle': '-'}
+#     {'color': 'g', 'linestyle': '--'}
+#     {'color': 'b', 'linestyle': '-.'}
+#
+#
+# You can multiply cyclers:
+#
+# .. code-block:: python
+#
+#     from cycler import cycler
+#     cc = (cycler(color=list('rgb')) *
+#           cycler(linestyle=['-', '--', '-.']))
+#     for d in cc:
+#         print(d)
+#
+# Results in:
+#
+# .. code-block:: python
+#
+#     {'color': 'r', 'linestyle': '-'}
+#     {'color': 'r', 'linestyle': '--'}
+#     {'color': 'r', 'linestyle': '-.'}
+#     {'color': 'g', 'linestyle': '-'}
+#     {'color': 'g', 'linestyle': '--'}
+#     {'color': 'g', 'linestyle': '-.'}
+#     {'color': 'b', 'linestyle': '-'}
+#     {'color': 'b', 'linestyle': '--'}
+#     {'color': 'b', 'linestyle': '-.'}
diff --git a/galleries/users_explain/artists/imshow_extent.py b/galleries/users_explain/artists/imshow_extent.py
new file mode 100644
index 000000000000..d16a15f1e9f9
--- /dev/null
+++ b/galleries/users_explain/artists/imshow_extent.py
@@ -0,0 +1,266 @@
+"""
+.. redirect-from:: /tutorials/intermediate/imshow_extent
+
+.. _imshow_extent:
+
+*origin* and *extent* in `~.Axes.imshow`
+========================================
+
+:meth:`~.Axes.imshow` allows you to render an image (either a 2D array which
+will be color-mapped (based on *norm* and *cmap*) or a 3D RGB(A) array which
+will be used as-is) to a rectangular region in data space.  The orientation of
+the image in the final rendering is controlled by the *origin* and *extent*
+keyword arguments (and attributes on the resulting `.AxesImage` instance) and
+the data limits of the Axes.
+
+The *extent* keyword arguments controls the bounding box in data coordinates
+that the image will fill specified as ``(left, right, bottom, top)`` in **data
+coordinates**, the *origin* keyword argument controls how the image fills that
+bounding box, and the orientation in the final rendered image is also affected
+by the axes limits.
+
+.. hint:: Most of the code below is used for adding labels and informative
+   text to the plots. The described effects of *origin* and *extent* can be
+   seen in the plots without the need to follow all code details.
+
+   For a quick understanding, you may want to skip the code details below and
+   directly continue with the discussion of the results.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.gridspec import GridSpec
+
+
+def index_to_coordinate(index, extent, origin):
+    """Return the pixel center of an index."""
+    left, right, bottom, top = extent
+
+    hshift = 0.5 * np.sign(right - left)
+    left, right = left + hshift, right - hshift
+    vshift = 0.5 * np.sign(top - bottom)
+    bottom, top = bottom + vshift, top - vshift
+
+    if origin == 'upper':
+        bottom, top = top, bottom
+
+    return {
+        "[0, 0]": (left, bottom),
+        "[M', 0]": (left, top),
+        "[0, N']": (right, bottom),
+        "[M', N']": (right, top),
+    }[index]
+
+
+def get_index_label_pos(index, extent, origin, inverted_xindex):
+    """
+    Return the desired position and horizontal alignment of an index label.
+    """
+    if extent is None:
+        extent = lookup_extent(origin)
+    left, right, bottom, top = extent
+    x, y = index_to_coordinate(index, extent, origin)
+
+    is_x0 = index[-2:] == "0]"
+    halign = 'left' if is_x0 ^ inverted_xindex else 'right'
+    hshift = 0.5 * np.sign(left - right)
+    x += hshift * (1 if is_x0 else -1)
+    return x, y, halign
+
+
+def get_color(index, data, cmap):
+    """Return the data color of an index."""
+    val = {
+        "[0, 0]": data[0, 0],
+        "[0, N']": data[0, -1],
+        "[M', 0]": data[-1, 0],
+        "[M', N']": data[-1, -1],
+    }[index]
+    return cmap(val / data.max())
+
+
+def lookup_extent(origin):
+    """Return extent for label positioning when not given explicitly."""
+    if origin == 'lower':
+        return (-0.5, 6.5, -0.5, 5.5)
+    else:
+        return (-0.5, 6.5, 5.5, -0.5)
+
+
+def set_extent_None_text(ax):
+    ax.text(3, 2.5, 'equals\nextent=None', size='large',
+            ha='center', va='center', color='w')
+
+
+def plot_imshow_with_labels(ax, data, extent, origin, xlim, ylim):
+    """Actually run ``imshow()`` and add extent and index labels."""
+    im = ax.imshow(data, origin=origin, extent=extent)
+
+    # extent labels (left, right, bottom, top)
+    left, right, bottom, top = im.get_extent()
+    if xlim is None or top > bottom:
+        upper_string, lower_string = 'top', 'bottom'
+    else:
+        upper_string, lower_string = 'bottom', 'top'
+    if ylim is None or left < right:
+        port_string, starboard_string = 'left', 'right'
+        inverted_xindex = False
+    else:
+        port_string, starboard_string = 'right', 'left'
+        inverted_xindex = True
+    bbox_kwargs = {'fc': 'w', 'alpha': .75, 'boxstyle': "round4"}
+    ann_kwargs = {'xycoords': 'axes fraction',
+                  'textcoords': 'offset points',
+                  'bbox': bbox_kwargs}
+    ax.annotate(upper_string, xy=(.5, 1), xytext=(0, -1),
+                ha='center', va='top', **ann_kwargs)
+    ax.annotate(lower_string, xy=(.5, 0), xytext=(0, 1),
+                ha='center', va='bottom', **ann_kwargs)
+    ax.annotate(port_string, xy=(0, .5), xytext=(1, 0),
+                ha='left', va='center', rotation=90,
+                **ann_kwargs)
+    ax.annotate(starboard_string, xy=(1, .5), xytext=(-1, 0),
+                ha='right', va='center', rotation=-90,
+                **ann_kwargs)
+    ax.set_title(f'origin: {origin}')
+
+    # index labels
+    for index in ["[0, 0]", "[0, N']", "[M', 0]", "[M', N']"]:
+        tx, ty, halign = get_index_label_pos(index, extent, origin,
+                                             inverted_xindex)
+        facecolor = get_color(index, data, im.get_cmap())
+        ax.text(tx, ty, index, color='white', ha=halign, va='center',
+                bbox={'boxstyle': 'square', 'facecolor': facecolor})
+    if xlim:
+        ax.set_xlim(*xlim)
+    if ylim:
+        ax.set_ylim(*ylim)
+
+
+def generate_imshow_demo_grid(extents, xlim=None, ylim=None):
+    N = len(extents)
+    fig = plt.figure(tight_layout=True)
+    fig.set_size_inches(6, N * (11.25) / 5)
+    gs = GridSpec(N, 5, figure=fig)
+
+    columns = {'label': [fig.add_subplot(gs[j, 0]) for j in range(N)],
+               'upper': [fig.add_subplot(gs[j, 1:3]) for j in range(N)],
+               'lower': [fig.add_subplot(gs[j, 3:5]) for j in range(N)]}
+    x, y = np.ogrid[0:6, 0:7]
+    data = x + y
+
+    for origin in ['upper', 'lower']:
+        for ax, extent in zip(columns[origin], extents):
+            plot_imshow_with_labels(ax, data, extent, origin, xlim, ylim)
+
+    columns['label'][0].set_title('extent=')
+    for ax, extent in zip(columns['label'], extents):
+        if extent is None:
+            text = 'None'
+        else:
+            left, right, bottom, top = extent
+            text = (f'left: {left:0.1f}\nright: {right:0.1f}\n'
+                    f'bottom: {bottom:0.1f}\ntop: {top:0.1f}\n')
+        ax.text(1., .5, text, transform=ax.transAxes, ha='right', va='center')
+        ax.axis('off')
+    return columns
+
+
+# %%
+#
+# Default extent
+# --------------
+#
+# First, let's have a look at the default ``extent=None``
+
+generate_imshow_demo_grid(extents=[None])
+
+# %%
+#
+# Generally, for an array of shape (M, N), the first index runs along the
+# vertical, the second index runs along the horizontal.
+# The pixel centers are at integer positions ranging from 0 to ``N' = N - 1``
+# horizontally and from 0 to ``M' = M - 1`` vertically.
+# *origin* determines how the data is filled in the bounding box.
+#
+# For ``origin='lower'``:
+#
+# - [0, 0] is at (left, bottom)
+# - [M', 0] is at (left, top)
+# - [0, N'] is at (right, bottom)
+# - [M', N'] is at (right, top)
+#
+# ``origin='upper'`` reverses the vertical axes direction and filling:
+#
+# - [0, 0] is at (left, top)
+# - [M', 0] is at (left, bottom)
+# - [0, N'] is at (right, top)
+# - [M', N'] is at (right, bottom)
+#
+# In summary, the position of the [0, 0] index as well as the extent are
+# influenced by *origin*:
+#
+# ======  ===============  ==========================================
+# origin  [0, 0] position  extent
+# ======  ===============  ==========================================
+# upper   top left         ``(-0.5, numcols-0.5, numrows-0.5, -0.5)``
+# lower   bottom left      ``(-0.5, numcols-0.5, -0.5, numrows-0.5)``
+# ======  ===============  ==========================================
+#
+# The default value of *origin* is set by :rc:`image.origin` which defaults
+# to ``'upper'`` to match the matrix indexing conventions in math and
+# computer graphics image indexing conventions.
+#
+#
+# Explicit extent
+# ---------------
+#
+# By setting *extent* we define the coordinates of the image area. The
+# underlying image data is interpolated/resampled to fill that area.
+#
+# If the Axes is set to autoscale, then the view limits of the Axes are set
+# to match the *extent* which ensures that the coordinate set by
+# ``(left, bottom)`` is at the bottom left of the Axes!  However, this
+# may invert the axis so they do not increase in the 'natural' direction.
+#
+
+extents = [(-0.5, 6.5, -0.5, 5.5),
+           (-0.5, 6.5, 5.5, -0.5),
+           (6.5, -0.5, -0.5, 5.5),
+           (6.5, -0.5, 5.5, -0.5)]
+
+columns = generate_imshow_demo_grid(extents)
+set_extent_None_text(columns['upper'][1])
+set_extent_None_text(columns['lower'][0])
+
+
+# %%
+#
+# Explicit extent and axes limits
+# -------------------------------
+#
+# If we fix the axes limits by explicitly setting `~.axes.Axes.set_xlim` /
+# `~.axes.Axes.set_ylim`, we force a certain size and orientation of the Axes.
+# This can decouple the 'left-right' and 'top-bottom' sense of the image from
+# the orientation on the screen.
+#
+# In the example below we have chosen the limits slightly larger than the
+# extent (note the white areas within the Axes).
+#
+# While we keep the extents as in the examples before, the coordinate (0, 0)
+# is now explicitly put at the bottom left and values increase to up and to
+# the right (from the viewer's point of view).
+# We can see that:
+#
+# - The coordinate ``(left, bottom)`` anchors the image which then fills the
+#   box going towards the ``(right, top)`` point in data space.
+# - The first column is always closest to the 'left'.
+# - *origin* controls if the first row is closest to 'top' or 'bottom'.
+# - The image may be inverted along either direction.
+# - The 'left-right' and 'top-bottom' sense of the image may be uncoupled from
+#   the orientation on the screen.
+
+generate_imshow_demo_grid(extents=[None] + extents,
+                          xlim=(-2, 8), ylim=(-1, 6))
+
+plt.show()
diff --git a/galleries/users_explain/artists/index.rst b/galleries/users_explain/artists/index.rst
new file mode 100644
index 000000000000..d3f2918c9a91
--- /dev/null
+++ b/galleries/users_explain/artists/index.rst
@@ -0,0 +1,23 @@
++++++++
+Artists
++++++++
+
+Almost all objects you interact with on a Matplotlib plot are called "Artist"
+(and are subclasses of the `.Artist` class).  :doc:`Figure <../figure/index>`
+and :doc:`Axes <../axes/index>` are Artists, and generally contain
+`~.axis.Axis` Artists and Artists that contain data or annotation information.
+
+.. toctree::
+    :maxdepth: 2
+
+    artist_intro
+
+.. toctree::
+    :maxdepth: 1
+
+    Automated color cycle <color_cycle>
+    Optimizing Artists for performance <performance>
+    Paths <paths>
+    Path effects guide <patheffects_guide>
+    Understanding the extent keyword argument of imshow <imshow_extent>
+    transforms_tutorial
diff --git a/galleries/users_explain/artists/patheffects_guide.py b/galleries/users_explain/artists/patheffects_guide.py
new file mode 100644
index 000000000000..28a6b9dd1d03
--- /dev/null
+++ b/galleries/users_explain/artists/patheffects_guide.py
@@ -0,0 +1,123 @@
+"""
+.. redirect-from:: /tutorials/advance/patheffects_guide
+
+.. _patheffects_guide:
+
+==================
+Path effects guide
+==================
+
+Defining paths that objects follow on a canvas.
+
+.. py:currentmodule:: matplotlib.patheffects
+
+Matplotlib's :mod:`.patheffects` module provides functionality to apply a
+multiple draw stage to any Artist which can be rendered via a `.path.Path`.
+
+Artists which can have a path effect applied to them include `.patches.Patch`,
+`.lines.Line2D`, `.collections.Collection` and even `.text.Text`. Each artist's
+path effects can be controlled via the `.Artist.set_path_effects` method,
+which takes an iterable of `AbstractPathEffect` instances.
+
+The simplest path effect is the `Normal` effect, which simply draws the artist
+without any effect:
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patheffects as path_effects
+
+fig = plt.figure(figsize=(5, 1.5))
+text = fig.text(0.5, 0.5, 'Hello path effects world!\nThis is the normal '
+                          'path effect.\nPretty dull, huh?',
+                ha='center', va='center', size=20)
+text.set_path_effects([path_effects.Normal()])
+plt.show()
+
+# %%
+# Whilst the plot doesn't look any different to what you would expect without
+# any path effects, the drawing of the text has now been changed to use the
+# path effects framework, opening up the possibilities for more interesting
+# examples.
+#
+# Adding a shadow
+# ---------------
+#
+# A far more interesting path effect than `Normal` is the drop-shadow, which we
+# can apply to any of our path based artists. The classes `SimplePatchShadow`
+# and `SimpleLineShadow` do precisely this by drawing either a filled patch or
+# a line patch below the original artist:
+
+import matplotlib.patheffects as path_effects
+
+text = plt.text(0.5, 0.5, 'Hello path effects world!',
+                path_effects=[path_effects.withSimplePatchShadow()])
+
+plt.plot([0, 3, 2, 5], linewidth=5, color='blue',
+         path_effects=[path_effects.SimpleLineShadow(),
+                       path_effects.Normal()])
+plt.show()
+
+# %%
+# Notice the two approaches to setting the path effects in this example. The
+# first uses the ``with*`` classes to include the desired functionality
+# automatically followed with the "normal" effect, whereas the latter
+# explicitly defines the two path effects to draw.
+#
+# Making an Artist stand out
+# --------------------------
+#
+# One nice way of making artists visually stand out is to draw an outline in
+# a bold color below the actual artist. The :class:`Stroke` path effect makes
+# this a relatively simple task:
+
+fig = plt.figure(figsize=(7, 1))
+text = fig.text(0.5, 0.5, 'This text stands out because of\n'
+                          'its black border.', color='white',
+                          ha='center', va='center', size=30)
+text.set_path_effects([path_effects.Stroke(linewidth=3, foreground='black'),
+                       path_effects.Normal()])
+plt.show()
+
+# %%
+# It is important to note that this effect only works because we have drawn
+# the text path twice; once with a thick black line, and then once with the
+# original text path on top.
+#
+# You may have noticed that the keywords to `Stroke` and `SimplePatchShadow`
+# and `SimpleLineShadow` are not the usual Artist keywords (*facecolor*
+# *edgecolor*, etc.). This is because with these path effects we are operating
+# at lower level of Matplotlib. In fact, the keywords which are accepted are
+# those for a `matplotlib.backend_bases.GraphicsContextBase` instance, which
+# have been designed for making it easy to create new backends - and not for
+# its user interface.
+#
+#
+# Greater control of the path effect Artist
+# -----------------------------------------
+#
+# As already mentioned, some of the path effects operate at a lower level
+# than most users will be used to, meaning that setting keywords such as
+# *facecolor* and *edgecolor* raise an AttributeError. Luckily there is a
+# generic `PathPatchEffect` path effect which creates a `.patches.PathPatch`
+# class with the original path.  The keywords to this effect are identical to
+# those of `.patches.PathPatch`:
+
+fig = plt.figure(figsize=(8.5, 1))
+t = fig.text(0.02, 0.5, 'Hatch shadow', fontsize=75, weight=1000, va='center')
+t.set_path_effects([
+    path_effects.PathPatchEffect(
+        offset=(4, -4), hatch='xxxx', facecolor='gray'),
+    path_effects.PathPatchEffect(
+        edgecolor='white', linewidth=1.1, facecolor='black')])
+plt.show()
+
+# %%
+# ..
+#     Headings for future consideration:
+#
+#     Implementing a custom path effect
+#     ---------------------------------
+#
+#     What is going on under the hood
+#     --------------------------------
diff --git a/galleries/users_explain/artists/paths.py b/galleries/users_explain/artists/paths.py
new file mode 100644
index 000000000000..669e18107e5c
--- /dev/null
+++ b/galleries/users_explain/artists/paths.py
@@ -0,0 +1,233 @@
+"""
+.. redirect-from:: /tutorials/advanced/path_tutorial
+
+.. _paths:
+
+=============
+Path Tutorial
+=============
+
+Defining paths in your Matplotlib visualization.
+
+The object underlying all of the :mod:`matplotlib.patches` objects is
+the :class:`~matplotlib.path.Path`, which supports the standard set of
+moveto, lineto, curveto commands to draw simple and compound outlines
+consisting of line segments and splines.  The ``Path`` is instantiated
+with a (N, 2) array of (x, y) vertices, and an N-length array of path
+codes.  For example to draw the unit rectangle from (0, 0) to (1, 1), we
+could use this code:
+"""
+
+import numpy as np
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as patches
+from matplotlib.path import Path
+
+verts = [
+   (0., 0.),  # left, bottom
+   (0., 1.),  # left, top
+   (1., 1.),  # right, top
+   (1., 0.),  # right, bottom
+   (0., 0.),  # ignored
+]
+
+codes = [
+    Path.MOVETO,
+    Path.LINETO,
+    Path.LINETO,
+    Path.LINETO,
+    Path.CLOSEPOLY,
+]
+
+path = Path(verts, codes)
+
+fig, ax = plt.subplots()
+patch = patches.PathPatch(path, facecolor='orange', lw=2)
+ax.add_patch(patch)
+ax.set_xlim(-2, 2)
+ax.set_ylim(-2, 2)
+plt.show()
+
+
+# %%
+# The following path codes are recognized
+#
+# ============= ======================== ======================================
+# Code          Vertices                 Description
+# ============= ======================== ======================================
+# ``STOP``      1 (ignored)              A marker for the end of the entire
+#                                        path (currently not required and
+#                                        ignored).
+# ``MOVETO``    1                        Pick up the pen and move to the given
+#                                        vertex.
+# ``LINETO``    1                        Draw a line from the current position
+#                                        to the given vertex.
+# ``CURVE3``    2:                       Draw a quadratic Bézier curve from the
+#               1 control point,         current position, with the given
+#               1 end point              control point, to the given end point.
+# ``CURVE4``    3:                       Draw a cubic Bézier curve from the
+#               2 control points,        current position, with the given
+#               1 end point              control points, to the given end
+#                                        point.
+# ``CLOSEPOLY`` 1 (the point is ignored) Draw a line segment to the start point
+#                                        of the current polyline.
+# ============= ======================== ======================================
+#
+#
+# .. path-curves:
+#
+#
+# Bézier example
+# ==============
+#
+# Some of the path components require multiple vertices to specify them:
+# for example CURVE 3 is a `Bézier
+# <https://en.wikipedia.org/wiki/B%C3%A9zier_curve>`_ curve with one
+# control point and one end point, and CURVE4 has three vertices for the
+# two control points and the end point.  The example below shows a
+# CURVE4 Bézier spline -- the Bézier curve will be contained in the
+# convex hull of the start point, the two control points, and the end
+# point
+
+verts = [
+   (0., 0.),   # P0
+   (0.2, 1.),  # P1
+   (1., 0.8),  # P2
+   (0.8, 0.),  # P3
+]
+
+codes = [
+    Path.MOVETO,
+    Path.CURVE4,
+    Path.CURVE4,
+    Path.CURVE4,
+]
+
+path = Path(verts, codes)
+
+fig, ax = plt.subplots()
+patch = patches.PathPatch(path, facecolor='none', lw=2)
+ax.add_patch(patch)
+
+xs, ys = zip(*verts)
+ax.plot(xs, ys, 'x--', lw=2, color='black', ms=10)
+
+ax.text(-0.05, -0.05, 'P0')
+ax.text(0.15, 1.05, 'P1')
+ax.text(1.05, 0.85, 'P2')
+ax.text(0.85, -0.05, 'P3')
+
+ax.set_xlim(-0.1, 1.1)
+ax.set_ylim(-0.1, 1.1)
+plt.show()
+
+# %%
+# .. compound_paths:
+#
+# Compound paths
+# ==============
+#
+# All of the simple patch primitives in matplotlib, Rectangle, Circle,
+# Polygon, etc, are implemented with simple path.  Plotting functions
+# like :meth:`~matplotlib.axes.Axes.hist` and
+# :meth:`~matplotlib.axes.Axes.bar`, which create a number of
+# primitives, e.g., a bunch of Rectangles, can usually be implemented more
+# efficiently using a compound path.  The reason ``bar`` creates a list
+# of rectangles and not a compound path is largely historical: the
+# :class:`~matplotlib.path.Path` code is comparatively new and ``bar``
+# predates it.  While we could change it now, it would break old code,
+# so here we will cover how to create compound paths, replacing the
+# functionality in bar, in case you need to do so in your own code for
+# efficiency reasons, e.g., you are creating an animated bar plot.
+#
+# We will make the histogram chart by creating a series of rectangles
+# for each histogram bar: the rectangle width is the bin width and the
+# rectangle height is the number of datapoints in that bin.  First we'll
+# create some random normally distributed data and compute the
+# histogram.  Because NumPy returns the bin edges and not centers, the
+# length of ``bins`` is one greater than the length of ``n`` in the
+# example below::
+#
+#     # histogram our data with numpy
+#     data = np.random.randn(1000)
+#     n, bins = np.histogram(data, 100)
+#
+# We'll now extract the corners of the rectangles.  Each of the
+# ``left``, ``bottom``, etc., arrays below is ``len(n)``, where ``n`` is
+# the array of counts for each histogram bar::
+#
+#     # get the corners of the rectangles for the histogram
+#     left = np.array(bins[:-1])
+#     right = np.array(bins[1:])
+#     bottom = np.zeros(len(left))
+#     top = bottom + n
+#
+# Now we have to construct our compound path, which will consist of a
+# series of ``MOVETO``, ``LINETO`` and ``CLOSEPOLY`` for each rectangle.
+# For each rectangle, we need five vertices: one for the ``MOVETO``,
+# three for the ``LINETO``, and one for the ``CLOSEPOLY``.  As indicated
+# in the table above, the vertex for the closepoly is ignored, but we still
+# need it to keep the codes aligned with the vertices::
+#
+#     nverts = nrects*(1+3+1)
+#     verts = np.zeros((nverts, 2))
+#     codes = np.ones(nverts, int) * path.Path.LINETO
+#     codes[0::5] = path.Path.MOVETO
+#     codes[4::5] = path.Path.CLOSEPOLY
+#     verts[0::5, 0] = left
+#     verts[0::5, 1] = bottom
+#     verts[1::5, 0] = left
+#     verts[1::5, 1] = top
+#     verts[2::5, 0] = right
+#     verts[2::5, 1] = top
+#     verts[3::5, 0] = right
+#     verts[3::5, 1] = bottom
+#
+# All that remains is to create the path, attach it to a
+# :class:`~matplotlib.patches.PathPatch`, and add it to our Axes::
+#
+#     barpath = path.Path(verts, codes)
+#     patch = patches.PathPatch(barpath, facecolor='green',
+#       edgecolor='yellow', alpha=0.5)
+#     ax.add_patch(patch)
+
+fig, ax = plt.subplots()
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# histogram our data with numpy
+data = np.random.randn(1000)
+n, bins = np.histogram(data, 100)
+
+# get the corners of the rectangles for the histogram
+left = np.array(bins[:-1])
+right = np.array(bins[1:])
+bottom = np.zeros(len(left))
+top = bottom + n
+nrects = len(left)
+
+nverts = nrects*(1+3+1)
+verts = np.zeros((nverts, 2))
+codes = np.full(nverts, Path.LINETO, dtype=int)
+codes[0::5] = Path.MOVETO
+codes[4::5] = Path.CLOSEPOLY
+verts[0::5, 0] = left
+verts[0::5, 1] = bottom
+verts[1::5, 0] = left
+verts[1::5, 1] = top
+verts[2::5, 0] = right
+verts[2::5, 1] = top
+verts[3::5, 0] = right
+verts[3::5, 1] = bottom
+
+barpath = Path(verts, codes)
+patch = patches.PathPatch(barpath, facecolor='green',
+                          edgecolor='yellow', alpha=0.5)
+ax.add_patch(patch)
+
+ax.set_xlim(left[0], right[-1])
+ax.set_ylim(bottom.min(), top.max())
+
+plt.show()
diff --git a/galleries/users_explain/artists/performance.rst b/galleries/users_explain/artists/performance.rst
new file mode 100644
index 000000000000..20ac800abad6
--- /dev/null
+++ b/galleries/users_explain/artists/performance.rst
@@ -0,0 +1,148 @@
+.. redirect-from:: /users/explain/performance
+
+.. _performance:
+
+Performance
+===========
+
+Whether exploring data in interactive mode or programmatically
+saving lots of plots, rendering performance can be a challenging
+bottleneck in your pipeline. Matplotlib provides multiple
+ways to greatly reduce rendering time at the cost of a slight
+change (to a settable tolerance) in your plot's appearance.
+The methods available to reduce rendering time depend on the
+type of plot that is being created.
+
+Line segment simplification
+---------------------------
+
+For plots that have line segments (e.g. typical line plots, outlines
+of polygons, etc.), rendering performance can be controlled by
+:rc:`path.simplify` and :rc:`path.simplify_threshold`, which
+can be defined e.g. in the :file:`matplotlibrc` file (see
+:ref:`customizing` for more information about
+the :file:`matplotlibrc` file). :rc:`path.simplify` is a Boolean
+indicating whether or not line segments are simplified at all.
+:rc:`path.simplify_threshold` controls how much line segments are simplified;
+higher thresholds result in quicker rendering.
+
+The following script will first display the data without any
+simplification, and then display the same data with simplification.
+Try interacting with both of them::
+
+  import numpy as np
+  import matplotlib.pyplot as plt
+  import matplotlib as mpl
+
+  # Setup, and create the data to plot
+  y = np.random.rand(100000)
+  y[50000:] *= 2
+  y[np.geomspace(10, 50000, 400).astype(int)] = -1
+  mpl.rcParams['path.simplify'] = True
+
+  mpl.rcParams['path.simplify_threshold'] = 0.0
+  plt.plot(y)
+  plt.show()
+
+  mpl.rcParams['path.simplify_threshold'] = 1.0
+  plt.plot(y)
+  plt.show()
+
+Matplotlib currently defaults to a conservative simplification
+threshold of ``1/9``. To change default settings to use a different
+value, change the :file:`matplotlibrc` file. Alternatively, users
+can create a new style for interactive plotting (with maximal
+simplification) and another style for publication quality plotting
+(with minimal simplification) and activate them as necessary. See
+:ref:`customizing` for instructions on
+how to perform these actions.
+
+The simplification works by iteratively merging line segments
+into a single vector until the next line segment's perpendicular
+distance to the vector (measured in display-coordinate space)
+is greater than the ``path.simplify_threshold`` parameter.
+
+.. note::
+  Changes related to how line segments are simplified were made
+  in version 2.1. Rendering time will still be improved by these
+  parameters prior to 2.1, but rendering time for some kinds of
+  data will be vastly improved in versions 2.1 and greater.
+
+Marker subsampling
+------------------
+
+Markers can also be simplified, albeit less robustly than line
+segments. Marker subsampling is only available to `.Line2D` objects
+(through the ``markevery`` property). Wherever `.Line2D` construction
+parameters are passed through, such as `.pyplot.plot` and `.Axes.plot`,
+the ``markevery`` parameter can be used::
+
+  plt.plot(x, y, markevery=10)
+
+The ``markevery`` argument allows for naive subsampling, or an
+attempt at evenly spaced (along the *x* axis) sampling. See the
+:doc:`/gallery/lines_bars_and_markers/markevery_demo`
+for more information.
+
+Splitting lines into smaller chunks
+-----------------------------------
+
+If you are using the Agg backend (see :ref:`what-is-a-backend`),
+then you can make use of :rc:`agg.path.chunksize`
+This allows users to specify a chunk size, and any lines with
+greater than that many vertices will be split into multiple
+lines, each of which has no more than ``agg.path.chunksize``
+many vertices. (Unless ``agg.path.chunksize`` is zero, in
+which case there is no chunking.) For some kind of data,
+chunking the line up into reasonable sizes can greatly
+decrease rendering time.
+
+The following script will first display the data without any
+chunk size restriction, and then display the same data with
+a chunk size of 10,000. The difference can best be seen when
+the figures are large, try maximizing the GUI and then
+interacting with them::
+
+  import numpy as np
+  import matplotlib.pyplot as plt
+  import matplotlib as mpl
+  mpl.rcParams['path.simplify_threshold'] = 1.0
+
+  # Setup, and create the data to plot
+  y = np.random.rand(100000)
+  y[50000:] *= 2
+  y[np.geomspace(10, 50000, 400).astype(int)] = -1
+  mpl.rcParams['path.simplify'] = True
+
+  mpl.rcParams['agg.path.chunksize'] = 0
+  plt.plot(y)
+  plt.show()
+
+  mpl.rcParams['agg.path.chunksize'] = 10000
+  plt.plot(y)
+  plt.show()
+
+Legends
+-------
+
+The default legend behavior for axes attempts to find the location
+that covers the fewest data points (``loc='best'``). This can be a
+very expensive computation if there are lots of data points. In
+this case, you may want to provide a specific location.
+
+Using the *fast* style
+----------------------
+
+The *fast* style can be used to automatically set
+simplification and chunking parameters to reasonable
+settings to speed up plotting large amounts of data.
+The following code runs it::
+
+  import matplotlib.style as mplstyle
+  mplstyle.use('fast')
+
+It is very lightweight, so it works well with other
+styles. Be sure the fast style is applied last
+so that other styles do not overwrite the settings::
+
+  mplstyle.use(['dark_background', 'ggplot', 'fast'])
diff --git a/galleries/users_explain/artists/transforms_tutorial.py b/galleries/users_explain/artists/transforms_tutorial.py
new file mode 100644
index 000000000000..f8a3e98e8077
--- /dev/null
+++ b/galleries/users_explain/artists/transforms_tutorial.py
@@ -0,0 +1,585 @@
+"""
+.. redirect-from:: /tutorials/advanced/transforms_tutorial
+
+.. _transforms_tutorial:
+
+========================
+Transformations Tutorial
+========================
+
+Like any graphics packages, Matplotlib is built on top of a transformation
+framework to easily move between coordinate systems, the userland *data*
+coordinate system, the *axes* coordinate system, the *figure* coordinate
+system, and the *display* coordinate system.  In 95% of your plotting, you
+won't need to think about this, as it happens under the hood, but as you push
+the limits of custom figure generation, it helps to have an understanding of
+these objects, so you can reuse the existing transformations Matplotlib makes
+available to you, or create your own (see :mod:`matplotlib.transforms`).  The
+table below summarizes some useful coordinate systems, a description of each
+system, and the transformation object for going from each coordinate system to
+the *display* coordinates.  In the "Transformation Object" column, ``ax`` is a
+:class:`~matplotlib.axes.Axes` instance, ``fig`` is a
+:class:`~matplotlib.figure.Figure` instance, and ``subfigure`` is a
+:class:`~matplotlib.figure.SubFigure` instance.
+
+.. _coordinate-systems:
+
++----------------+-----------------------------------+-----------------------------+
+|Coordinate      |Description                        |Transformation object        |
+|system          |                                   |from system to display       |
++================+===================================+=============================+
+|*data*          |The coordinate system of the data  |``ax.transData``             |
+|                |in the Axes.                       |                             |
++----------------+-----------------------------------+-----------------------------+
+|*axes*          |The coordinate system of the       |``ax.transAxes``             |
+|                |`~matplotlib.axes.Axes`; (0, 0)    |                             |
+|                |is bottom left of the Axes, and    |                             |
+|                |(1, 1) is top right of the Axes.   |                             |
++----------------+-----------------------------------+-----------------------------+
+|*subfigure*     |The coordinate system of the       |``subfigure.transSubfigure`` |
+|                |`.SubFigure`; (0, 0) is bottom left|                             |
+|                |of the subfigure, and (1, 1) is top|                             |
+|                |right of the subfigure.  If a      |                             |
+|                |figure has no subfigures, this is  |                             |
+|                |the same as ``transFigure``.       |                             |
++----------------+-----------------------------------+-----------------------------+
+|*figure*        |The coordinate system of the       |``fig.transFigure``          |
+|                |`.Figure`; (0, 0) is bottom left   |                             |
+|                |of the figure, and (1, 1) is top   |                             |
+|                |right of the figure.               |                             |
++----------------+-----------------------------------+-----------------------------+
+|*figure-inches* |The coordinate system of the       |``fig.dpi_scale_trans``      |
+|                |`.Figure` in inches; (0, 0) is     |                             |
+|                |bottom left of the figure, and     |                             |
+|                |(width, height) is the top right   |                             |
+|                |of the figure in inches.           |                             |
++----------------+-----------------------------------+-----------------------------+
+|*xaxis*,        |Blended coordinate systems, using  |``ax.get_xaxis_transform()``,|
+|*yaxis*         |data coordinates on one direction  |``ax.get_yaxis_transform()`` |
+|                |and axes coordinates on the other. |                             |
++----------------+-----------------------------------+-----------------------------+
+|*display*       |The native coordinate system of the|`None`, or                   |
+|                |output ; (0, 0) is the bottom left |`.IdentityTransform()`       |
+|                |of the window, and (width, height) |                             |
+|                |is top right of the output in      |                             |
+|                |"display units".                   |                             |
+|                |                                   |                             |
+|                |The exact interpretation of the    |                             |
+|                |units depends on the back end. For |                             |
+|                |example it is pixels for Agg and   |                             |
+|                |points for svg/pdf.                |                             |
++----------------+-----------------------------------+-----------------------------+
+
+The `~matplotlib.transforms.Transform` objects are naive to the source and
+destination coordinate systems, however the objects referred to in the table
+above are constructed to take inputs in their coordinate system, and transform
+the input to the *display* coordinate system.  That is why the *display*
+coordinate system has `None` for the "Transformation Object" column -- it
+already is in *display* coordinates.  The naming and destination conventions
+are an aid to keeping track of the available "standard" coordinate systems and
+transforms.
+
+The transformations also know how to invert themselves (via
+`.Transform.inverted`) to generate a transform from output coordinate system
+back to the input coordinate system.  For example, ``ax.transData`` converts
+values in data coordinates to display coordinates and
+``ax.transData.inverted()`` is a :class:`matplotlib.transforms.Transform` that
+goes from display coordinates to data coordinates. This is particularly useful
+when processing events from the user interface, which typically occur in
+display space, and you want to know where the mouse click or key-press occurred
+in your *data* coordinate system.
+
+Note that specifying the position of Artists in *display* coordinates may
+change their relative location if the ``dpi`` or size of the figure changes.
+This can cause confusion when printing or changing screen resolution, because
+the object can change location and size.  Therefore, it is most common for
+artists placed in an Axes or figure to have their transform set to something
+*other* than the `~.transforms.IdentityTransform()`; the default when an artist
+is added to an Axes using `~.axes.Axes.add_artist` is for the transform to be
+``ax.transData`` so that you can work and think in *data* coordinates and let
+Matplotlib take care of the transformation to *display*.
+
+.. _data-coords:
+
+Data coordinates
+================
+
+Let's start with the most commonly used coordinate, the *data* coordinate
+system.  Whenever you add data to the Axes, Matplotlib updates the datalimits,
+most commonly updated with the :meth:`~matplotlib.axes.Axes.set_xlim` and
+:meth:`~matplotlib.axes.Axes.set_ylim` methods.  For example, in the figure
+below, the data limits stretch from 0 to 10 on the x-axis, and -1 to 1 on the
+y-axis.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.patches as mpatches
+
+x = np.arange(0, 10, 0.005)
+y = np.exp(-x/2.) * np.sin(2*np.pi*x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_xlim(0, 10)
+ax.set_ylim(-1, 1)
+
+plt.show()
+
+# %%
+# You can use the ``ax.transData`` instance to transform from your
+# *data* to your *display* coordinate system, either a single point or a
+# sequence of points as shown below:
+#
+# .. sourcecode:: ipython
+#
+#     In [14]: type(ax.transData)
+#     Out[14]: <class 'matplotlib.transforms.CompositeGenericTransform'>
+#
+#     In [15]: ax.transData.transform((5, 0))
+#     Out[15]: array([ 335.175,  247.   ])
+#
+#     In [16]: ax.transData.transform([(5, 0), (1, 2)])
+#     Out[16]:
+#     array([[ 335.175,  247.   ],
+#            [ 132.435,  642.2  ]])
+#
+# You can use the :meth:`~matplotlib.transforms.Transform.inverted`
+# method to create a transform which will take you from *display* to *data*
+# coordinates:
+#
+# .. sourcecode:: ipython
+#
+#     In [41]: inv = ax.transData.inverted()
+#
+#     In [42]: type(inv)
+#     Out[42]: <class 'matplotlib.transforms.CompositeGenericTransform'>
+#
+#     In [43]: inv.transform((335.175,  247.))
+#     Out[43]: array([ 5.,  0.])
+#
+# If your are typing along with this tutorial, the exact values of the
+# *display* coordinates may differ if you have a different window size or
+# dpi setting.  Likewise, in the figure below, the display labeled
+# points are probably not the same as in the ipython session because the
+# documentation figure size defaults are different.
+
+x = np.arange(0, 10, 0.005)
+y = np.exp(-x/2.) * np.sin(2*np.pi*x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_xlim(0, 10)
+ax.set_ylim(-1, 1)
+
+xdata, ydata = 5, 0
+# This computing the transform now, if anything
+# (figure size, dpi, axes placement, data limits, scales..)
+# changes re-calling transform will get a different value.
+xdisplay, ydisplay = ax.transData.transform((xdata, ydata))
+
+bbox = dict(boxstyle="round", fc="0.8")
+arrowprops = dict(
+    arrowstyle="->",
+    connectionstyle="angle,angleA=0,angleB=90,rad=10")
+
+offset = 72
+ax.annotate(f'data = ({xdata:.1f}, {ydata:.1f})',
+            (xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
+            bbox=bbox, arrowprops=arrowprops)
+
+disp = ax.annotate(f'display = ({xdisplay:.1f}, {ydisplay:.1f})',
+                   (xdisplay, ydisplay), xytext=(0.5*offset, -offset),
+                   xycoords='figure pixels',
+                   textcoords='offset points',
+                   bbox=bbox, arrowprops=arrowprops)
+
+plt.show()
+
+# %%
+# .. warning::
+#
+#   If you run the source code in the example above in a GUI backend,
+#   you may also find that the two arrows for the *data* and *display*
+#   annotations do not point to exactly the same point.  This is because
+#   the display point was computed before the figure was displayed, and
+#   the GUI backend may slightly resize the figure when it is created.
+#   The effect is more pronounced if you resize the figure yourself.
+#   This is one good reason why you rarely want to work in *display*
+#   space, but you can connect to the ``'on_draw'``
+#   :class:`~matplotlib.backend_bases.Event` to update *figure*
+#   coordinates on figure draws; see :ref:`event-handling`.
+#
+# When you change the x or y limits of your axes, the data limits are
+# updated so the transformation yields a new display point.  Note that
+# when we just change the ylim, only the y-display coordinate is
+# altered, and when we change the xlim too, both are altered.  More on
+# this later when we talk about the
+# :class:`~matplotlib.transforms.Bbox`.
+#
+# .. sourcecode:: ipython
+#
+#     In [54]: ax.transData.transform((5, 0))
+#     Out[54]: array([ 335.175,  247.   ])
+#
+#     In [55]: ax.set_ylim(-1, 2)
+#     Out[55]: (-1, 2)
+#
+#     In [56]: ax.transData.transform((5, 0))
+#     Out[56]: array([ 335.175     ,  181.13333333])
+#
+#     In [57]: ax.set_xlim(10, 20)
+#     Out[57]: (10, 20)
+#
+#     In [58]: ax.transData.transform((5, 0))
+#     Out[58]: array([-171.675     ,  181.13333333])
+#
+#
+# .. _axes-coords:
+#
+# Axes coordinates
+# ================
+#
+# After the *data* coordinate system, *axes* is probably the second most
+# useful coordinate system.  Here the point (0, 0) is the bottom left of
+# your Axes or subplot, (0.5, 0.5) is the center, and (1.0, 1.0) is the top
+# right.  You can also refer to points outside the range, so (-0.1, 1.1)
+# is to the left and above your Axes.  This coordinate system is extremely
+# useful when placing text in your Axes, because you often want a text bubble
+# in a fixed, location, e.g., the upper left of the Axes pane, and have that
+# location remain fixed when you pan or zoom.  Here is a simple example that
+# creates four panels and labels them 'A', 'B', 'C', 'D' as you often see in
+# journals.  A more sophisticated approach for such labeling is presented at
+# :doc:`/gallery/text_labels_and_annotations/label_subplots`.
+
+fig = plt.figure()
+for i, label in enumerate(('A', 'B', 'C', 'D')):
+    ax = fig.add_subplot(2, 2, i+1)
+    ax.text(0.05, 0.95, label, transform=ax.transAxes,
+            fontsize=16, fontweight='bold', va='top')
+
+plt.show()
+
+# %%
+# You can also make lines or patches in the *axes* coordinate system, but
+# this is less useful in my experience than using ``ax.transAxes`` for
+# placing text.  Nonetheless, here is a silly example which plots some
+# random dots in data space, and overlays a semi-transparent
+# :class:`~matplotlib.patches.Circle` centered in the middle of the Axes
+# with a radius one quarter of the Axes -- if your Axes does not
+# preserve aspect ratio (see :meth:`~matplotlib.axes.Axes.set_aspect`),
+# this will look like an ellipse.  Use the pan/zoom tool to move around,
+# or manually change the data xlim and ylim, and you will see the data
+# move, but the circle will remain fixed because it is not in *data*
+# coordinates and will always remain at the center of the Axes.
+
+fig, ax = plt.subplots()
+x, y = 10*np.random.rand(2, 1000)
+ax.plot(x, y, 'go', alpha=0.2)  # plot some data in data coordinates
+
+circ = mpatches.Circle((0.5, 0.5), 0.25, transform=ax.transAxes,
+                       facecolor='blue', alpha=0.75)
+ax.add_patch(circ)
+plt.show()
+
+# %%
+# .. _blended_transformations:
+#
+# Blended transformations
+# =======================
+#
+# Drawing in *blended* coordinate spaces which mix *axes* with *data*
+# coordinates is extremely useful, for example to create a horizontal
+# span which highlights some region of the y-data but spans across the
+# x-axis regardless of the data limits, pan or zoom level, etc.  In fact
+# these blended lines and spans are so useful, we have built-in
+# functions to make them easy to plot (see
+# :meth:`~matplotlib.axes.Axes.axhline`,
+# :meth:`~matplotlib.axes.Axes.axvline`,
+# :meth:`~matplotlib.axes.Axes.axhspan`,
+# :meth:`~matplotlib.axes.Axes.axvspan`) but for didactic purposes we
+# will implement the horizontal span here using a blended
+# transformation.  This trick only works for separable transformations,
+# like you see in normal Cartesian coordinate systems, but not on
+# inseparable transformations like the
+# :class:`~matplotlib.projections.polar.PolarAxes.PolarTransform`.
+
+import matplotlib.transforms as transforms
+
+fig, ax = plt.subplots()
+x = np.random.randn(1000)
+
+ax.hist(x, 30)
+ax.set_title(r'$\sigma=1 \/ \dots \/ \sigma=2$', fontsize=16)
+
+# the x coords of this transformation are data, and the y coord are axes
+trans = transforms.blended_transform_factory(
+    ax.transData, ax.transAxes)
+# highlight the 1..2 stddev region with a span.
+# We want x to be in data coordinates and y to span from 0..1 in axes coords.
+rect = mpatches.Rectangle((1, 0), width=1, height=1, transform=trans,
+                          color='yellow', alpha=0.5)
+ax.add_patch(rect)
+
+plt.show()
+
+# %%
+# .. note::
+#
+#   The blended transformations where x is in *data* coords and y in *axes*
+#   coordinates is so useful that we have helper methods to return the
+#   versions Matplotlib uses internally for drawing ticks, ticklabels, etc.
+#   The methods are :meth:`matplotlib.axes.Axes.get_xaxis_transform` and
+#   :meth:`matplotlib.axes.Axes.get_yaxis_transform`.  So in the example
+#   above, the call to
+#   :meth:`~matplotlib.transforms.blended_transform_factory` can be
+#   replaced by ``get_xaxis_transform``::
+#
+#     trans = ax.get_xaxis_transform()
+#
+# .. _transforms-fig-scale-dpi:
+#
+# Plotting in physical coordinates
+# ================================
+#
+# Sometimes we want an object to be a certain physical size on the plot.
+# Here we draw the same circle as above, but in physical coordinates.  If done
+# interactively, you can see that changing the size of the figure does
+# not change the offset of the circle from the lower-left corner,
+# does not change its size, and the circle remains a circle regardless of
+# the aspect ratio of the Axes.
+
+fig, ax = plt.subplots(figsize=(5, 4))
+x, y = 10*np.random.rand(2, 1000)
+ax.plot(x, y*10., 'go', alpha=0.2)  # plot some data in data coordinates
+# add a circle in fixed-coordinates
+circ = mpatches.Circle((2.5, 2), 1.0, transform=fig.dpi_scale_trans,
+                       facecolor='blue', alpha=0.75)
+ax.add_patch(circ)
+plt.show()
+
+# %%
+# If we change the figure size, the circle does not change its absolute
+# position and is cropped.
+
+fig, ax = plt.subplots(figsize=(7, 2))
+x, y = 10*np.random.rand(2, 1000)
+ax.plot(x, y*10., 'go', alpha=0.2)  # plot some data in data coordinates
+# add a circle in fixed-coordinates
+circ = mpatches.Circle((2.5, 2), 1.0, transform=fig.dpi_scale_trans,
+                       facecolor='blue', alpha=0.75)
+ax.add_patch(circ)
+plt.show()
+
+# %%
+# Another use is putting a patch with a set physical dimension around a
+# data point on the Axes.  Here we add together two transforms.  The
+# first sets the scaling of how large the ellipse should be and the second
+# sets its position.  The ellipse is then placed at the origin, and then
+# we use the helper transform :class:`~matplotlib.transforms.ScaledTranslation`
+# to move it
+# to the right place in the ``ax.transData`` coordinate system.
+# This helper is instantiated with::
+#
+#   trans = ScaledTranslation(xt, yt, scale_trans)
+#
+# where *xt* and *yt* are the translation offsets, and *scale_trans* is
+# a transformation which scales *xt* and *yt* at transformation time
+# before applying the offsets.
+#
+# Note the use of the plus operator on the transforms below.
+# This code says: first apply the scale transformation ``fig.dpi_scale_trans``
+# to make the ellipse the proper size, but still centered at (0, 0),
+# and then translate the data to ``xdata[0]`` and ``ydata[0]`` in data space.
+#
+# In interactive use, the ellipse stays the same size even if the
+# axes limits are changed via zoom.
+#
+
+fig, ax = plt.subplots()
+xdata, ydata = (0.2, 0.7), (0.5, 0.5)
+ax.plot(xdata, ydata, "o")
+ax.set_xlim((0, 1))
+
+trans = (fig.dpi_scale_trans +
+         transforms.ScaledTranslation(xdata[0], ydata[0], ax.transData))
+
+# plot an ellipse around the point that is 150 x 130 points in diameter...
+circle = mpatches.Ellipse((0, 0), 150/72, 130/72, angle=40,
+                          fill=None, transform=trans)
+ax.add_patch(circle)
+plt.show()
+
+# %%
+# .. note::
+#
+#   The order of transformation matters.  Here the ellipse
+#   is given the right dimensions in display space *first* and then moved
+#   in data space to the correct spot.
+#   If we had done the ``ScaledTranslation`` first, then
+#   ``xdata[0]`` and ``ydata[0]`` would
+#   first be transformed to *display* coordinates (``[ 358.4  475.2]`` on
+#   a 200-dpi monitor) and then those coordinates
+#   would be scaled by ``fig.dpi_scale_trans`` pushing the center of
+#   the ellipse well off the screen (i.e. ``[ 71680.  95040.]``).
+#
+# .. _offset-transforms-shadow:
+#
+# Using offset transforms to create a shadow effect
+# =================================================
+#
+# Another use of :class:`~matplotlib.transforms.ScaledTranslation` is to create
+# a new transformation that is
+# offset from another transformation, e.g., to place one object shifted a
+# bit relative to another object.  Typically, you want the shift to be in
+# some physical dimension, like points or inches rather than in *data*
+# coordinates, so that the shift effect is constant at different zoom
+# levels and dpi settings.
+#
+# One use for an offset is to create a shadow effect, where you draw one
+# object identical to the first just to the right of it, and just below
+# it, adjusting the zorder to make sure the shadow is drawn first and
+# then the object it is shadowing above it.
+#
+# Here we apply the transforms in the *opposite* order to the use of
+# :class:`~matplotlib.transforms.ScaledTranslation` above. The plot is
+# first made in data coordinates (``ax.transData``) and then shifted by
+# ``dx`` and ``dy`` points using ``fig.dpi_scale_trans``.  (In typography,
+# a `point <https://en.wikipedia.org/wiki/Point_%28typography%29>`_ is
+# 1/72 inches, and by specifying your offsets in points, your figure
+# will look the same regardless of the dpi resolution it is saved in.)
+
+fig, ax = plt.subplots()
+
+# make a simple sine wave
+x = np.arange(0., 2., 0.01)
+y = np.sin(2*np.pi*x)
+line, = ax.plot(x, y, lw=3, color='blue')
+
+# shift the object over 2 points, and down 2 points
+dx, dy = 2/72., -2/72.
+offset = transforms.ScaledTranslation(dx, dy, fig.dpi_scale_trans)
+shadow_transform = ax.transData + offset
+
+# now plot the same data with our offset transform;
+# use the zorder to make sure we are below the line
+ax.plot(x, y, lw=3, color='gray',
+        transform=shadow_transform,
+        zorder=0.5*line.get_zorder())
+
+ax.set_title('creating a shadow effect with an offset transform')
+plt.show()
+
+
+# %%
+# .. note::
+#
+#   The dpi and inches offset is a
+#   common-enough use case that we have a special helper function to
+#   create it in :func:`matplotlib.transforms.offset_copy`, which returns
+#   a new transform with an added offset. So above we could have done::
+#
+#      shadow_transform = transforms.offset_copy(ax.transData,
+#               fig, dx, dy, units='inches')
+#
+#
+# .. _transformation-pipeline:
+#
+# The transformation pipeline
+# ===========================
+#
+# The ``ax.transData`` transform we have been working with in this
+# tutorial is a composite of three different transformations that
+# comprise the transformation pipeline from *data* -> *display*
+# coordinates.  Michael Droettboom implemented the transformations
+# framework, taking care to provide a clean API that segregated the
+# nonlinear projections and scales that happen in polar and logarithmic
+# plots, from the linear affine transformations that happen when you pan
+# and zoom.  There is an efficiency here, because you can pan and zoom
+# in your Axes which affects the affine transformation, but you may not
+# need to compute the potentially expensive nonlinear scales or
+# projections on simple navigation events.  It is also possible to
+# multiply affine transformation matrices together, and then apply them
+# to coordinates in one step.  This is not true of all possible
+# transformations.
+#
+#
+# Here is how the ``ax.transData`` instance is defined in the basic
+# separable axis :class:`~matplotlib.axes.Axes` class::
+#
+#   self.transData = self.transScale + (self.transLimits + self.transAxes)
+#
+# We've been introduced to the ``transAxes`` instance above in
+# :ref:`axes-coords`, which maps the (0, 0), (1, 1) corners of the
+# Axes or subplot bounding box to *display* space, so let's look at
+# these other two pieces.
+#
+# ``self.transLimits`` is the transformation that takes you from
+# *data* to *axes* coordinates; i.e., it maps your view xlim and ylim
+# to the unit space of the Axes (and ``transAxes`` then takes that unit
+# space to display space).  We can see this in action here
+#
+# .. sourcecode:: ipython
+#
+#     In [80]: ax = plt.subplot()
+#
+#     In [81]: ax.set_xlim(0, 10)
+#     Out[81]: (0, 10)
+#
+#     In [82]: ax.set_ylim(-1, 1)
+#     Out[82]: (-1, 1)
+#
+#     In [84]: ax.transLimits.transform((0, -1))
+#     Out[84]: array([ 0.,  0.])
+#
+#     In [85]: ax.transLimits.transform((10, -1))
+#     Out[85]: array([ 1.,  0.])
+#
+#     In [86]: ax.transLimits.transform((10, 1))
+#     Out[86]: array([ 1.,  1.])
+#
+#     In [87]: ax.transLimits.transform((5, 0))
+#     Out[87]: array([ 0.5,  0.5])
+#
+# and we can use this same inverted transformation to go from the unit
+# *axes* coordinates back to *data* coordinates.
+#
+# .. sourcecode:: ipython
+#
+#     In [90]: inv.transform((0.25, 0.25))
+#     Out[90]: array([ 2.5, -0.5])
+#
+# The final piece is the ``self.transScale`` attribute, which is
+# responsible for the optional non-linear scaling of the data, e.g., for
+# logarithmic axes.  When an Axes is initially setup, this is just set to
+# the identity transform, since the basic Matplotlib axes has linear
+# scale, but when you call a logarithmic scaling function like
+# :meth:`~matplotlib.axes.Axes.semilogx` or explicitly set the scale to
+# logarithmic with :meth:`~matplotlib.axes.Axes.set_xscale`, then the
+# ``ax.transScale`` attribute is set to handle the nonlinear projection.
+# The scales transforms are properties of the respective ``xaxis`` and
+# ``yaxis`` :class:`~matplotlib.axis.Axis` instances.  For example, when
+# you call ``ax.set_xscale('log')``, the xaxis updates its scale to a
+# :class:`matplotlib.scale.LogScale` instance.
+#
+# For non-separable axes the PolarAxes, there is one more piece to
+# consider, the projection transformation.  The ``transData``
+# :class:`matplotlib.projections.polar.PolarAxes` is similar to that for
+# the typical separable matplotlib Axes, with one additional piece
+# ``transProjection``::
+#
+#        self.transData = (
+#            self.transScale + self.transShift + self.transProjection +
+#            (self.transProjectionAffine + self.transWedge + self.transAxes))
+#
+# ``transProjection`` handles the projection from the space,
+# e.g., latitude and longitude for map data, or radius and theta for polar
+# data, to a separable Cartesian coordinate system.  There are several
+# projection examples in the :mod:`matplotlib.projections` package, and the
+# best way to learn more is to open the source for those packages and
+# see how to make your own, since Matplotlib supports extensible axes
+# and projections.  Michael Droettboom has provided a nice tutorial
+# example of creating a Hammer projection axes; see
+# :doc:`/gallery/misc/custom_projection`.
diff --git a/galleries/users_explain/axes/arranging_axes.py b/galleries/users_explain/axes/arranging_axes.py
new file mode 100644
index 000000000000..bc537e15c12c
--- /dev/null
+++ b/galleries/users_explain/axes/arranging_axes.py
@@ -0,0 +1,438 @@
+"""
+.. redirect-from:: /tutorials/intermediate/gridspec
+.. redirect-from:: /tutorials/intermediate/arranging_axes
+
+.. _arranging_axes:
+
+===================================
+Arranging multiple Axes in a Figure
+===================================
+
+Often more than one Axes is wanted on a figure at a time, usually
+organized into a regular grid.  Matplotlib has a variety of tools for
+working with grids of Axes that have evolved over the history of the library.
+Here we will discuss the tools we think users should use most often, the tools
+that underpin how Axes are organized, and mention some of the older tools.
+
+.. note::
+
+    Matplotlib uses *Axes* to refer to the drawing area that contains
+    data, x- and y-axis, ticks, labels, title, etc. See :ref:`figure_parts`
+    for more details.  Another term that is often used is "subplot", which
+    refers to an Axes that is in a grid with other Axes objects.
+
+Overview
+========
+
+Create grid-shaped combinations of Axes
+---------------------------------------
+
+`~matplotlib.pyplot.subplots`
+    The primary function used to create figures and a grid of Axes.  It
+    creates and places all Axes on the figure at once, and returns an
+    object array with handles for the Axes in the grid.  See
+    `.Figure.subplots`.
+
+or
+
+`~matplotlib.pyplot.subplot_mosaic`
+    A simple way to create figures and a grid of Axes, with the added
+    flexibility that Axes can also span rows or columns. The Axes are returned
+    in a labelled dictionary instead of an array.  See also
+    `.Figure.subplot_mosaic` and
+    :ref:`mosaic`.
+
+Sometimes it is natural to have more than one distinct group of Axes grids,
+in which case Matplotlib has the concept of `.SubFigure`:
+
+`~matplotlib.figure.SubFigure`
+    A virtual figure within a figure.
+
+Underlying tools
+----------------
+
+Underlying these are the concept of a `~.gridspec.GridSpec` and
+a `~.SubplotSpec`:
+
+`~matplotlib.gridspec.GridSpec`
+    Specifies the geometry of the grid that a subplot will be
+    placed. The number of rows and number of columns of the grid
+    need to be set. Optionally, the subplot layout parameters
+    (e.g., left, right, etc.) can be tuned.
+
+`~matplotlib.gridspec.SubplotSpec`
+    Specifies the location of the subplot in the given `.GridSpec`.
+
+.. _fixed_size_axes:
+
+Adding single Axes at a time
+----------------------------
+
+The above functions create all Axes in a single function call.  It is also
+possible to add Axes one at a time, and this was originally how Matplotlib
+used to work.  Doing so is generally less elegant and flexible, though
+sometimes useful for interactive work or to place an Axes in a custom
+location:
+
+`~matplotlib.figure.Figure.add_axes`
+    Adds a single Axes at a location specified by
+    ``[left, bottom, width, height]`` in fractions of figure width or height.
+
+`~matplotlib.pyplot.subplot` or `.Figure.add_subplot`
+    Adds a single subplot on a figure, with 1-based indexing (inherited from
+    Matlab).  Columns and rows can be spanned by specifying a range of grid
+    cells.
+
+`~matplotlib.pyplot.subplot2grid`
+    Similar to `.pyplot.subplot`, but uses 0-based indexing and two-d python
+    slicing to choose cells.
+
+"""
+
+# %%
+#
+# As a simple example of manually adding an Axes *ax*, lets add a 3 inch x 2 inch
+# Axes to a 4 inch x 3 inch figure.  Note that the location of the subplot is
+# defined as [left, bottom, width, height] in figure-normalized units:
+
+# sphinx_gallery_thumbnail_number = 2
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+w, h = 4, 3
+margin = 0.5
+fig = plt.figure(figsize=(w, h), facecolor='lightblue')
+ax = fig.add_axes([margin / w, margin / h, (w - 2 * margin) / w,
+                      (h - 2 * margin) / h])
+
+
+# %%
+# High-level methods for making grids
+# ===================================
+#
+# Basic 2x2 grid
+# --------------
+#
+# We can create a basic 2-by-2 grid of Axes using
+# `~matplotlib.pyplot.subplots`.  It returns a `~matplotlib.figure.Figure`
+# instance and an array of `~matplotlib.axes.Axes` objects.  The Axes
+# objects can be used to access methods to place artists on the Axes; here
+# we use `~.Axes.annotate`, but other examples could be `~.Axes.plot`,
+# `~.Axes.pcolormesh`, etc.
+
+fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(5.5, 3.5),
+                        layout="constrained")
+# add an artist, in this case a nice label in the middle...
+for row in range(2):
+    for col in range(2):
+        axs[row, col].annotate(f'axs[{row}, {col}]', (0.5, 0.5),
+                               transform=axs[row, col].transAxes,
+                               ha='center', va='center', fontsize=18,
+                               color='darkgrey')
+fig.suptitle('plt.subplots()')
+
+# %%
+# We will annotate a lot of Axes, so let's encapsulate the annotation, rather
+# than having that large piece of annotation code every time we need it:
+
+
+def annotate_axes(ax, text, fontsize=18):
+    ax.text(0.5, 0.5, text, transform=ax.transAxes,
+            ha="center", va="center", fontsize=fontsize, color="darkgrey")
+
+
+# %%
+# The same effect can be achieved with `~.pyplot.subplot_mosaic`,
+# but the return type is a dictionary instead of an array, where the user
+# can give the keys useful meanings.  Here we provide two lists, each list
+# representing a row, and each element in the list a key representing the
+# column.
+
+fig, axd = plt.subplot_mosaic([['upper left', 'upper right'],
+                               ['lower left', 'lower right']],
+                              figsize=(5.5, 3.5), layout="constrained")
+for k, ax in axd.items():
+    annotate_axes(ax, f'axd[{k!r}]', fontsize=14)
+fig.suptitle('plt.subplot_mosaic()')
+
+# %%
+#
+# Grids of fixed-aspect ratio Axes
+# --------------------------------
+#
+# Fixed-aspect ratio Axes are common for images or maps.  However, they
+# present a challenge to layout because two sets of constraints are being
+# imposed on the size of the Axes - that they fit in the figure and that they
+# have a set aspect ratio.  This leads to large gaps between Axes by default:
+#
+
+fig, axs = plt.subplots(2, 2, layout="constrained",
+                        figsize=(5.5, 3.5), facecolor='lightblue')
+for ax in axs.flat:
+    ax.set_aspect(1)
+fig.suptitle('Fixed aspect Axes')
+
+# %%
+# One way to address this is to change the aspect of the figure to be close
+# to the aspect ratio of the Axes, however that requires trial and error.
+# Matplotlib also supplies ``layout="compressed"``, which will work with
+# simple grids to reduce the gaps between Axes.  (The ``mpl_toolkits`` also
+# provides `~.mpl_toolkits.axes_grid1.axes_grid.ImageGrid` to accomplish
+# a similar effect, but with a non-standard Axes class).
+
+fig, axs = plt.subplots(2, 2, layout="compressed", figsize=(5.5, 3.5),
+                        facecolor='lightblue')
+for ax in axs.flat:
+    ax.set_aspect(1)
+fig.suptitle('Fixed aspect Axes: compressed')
+
+
+# %%
+# Axes spanning rows or columns in a grid
+# ---------------------------------------
+#
+# Sometimes we want Axes to span rows or columns of the grid.
+# There are actually multiple ways to accomplish this, but the most
+# convenient is probably to use `~.pyplot.subplot_mosaic` by repeating one
+# of the keys:
+
+fig, axd = plt.subplot_mosaic([['upper left', 'right'],
+                               ['lower left', 'right']],
+                              figsize=(5.5, 3.5), layout="constrained")
+for k, ax in axd.items():
+    annotate_axes(ax, f'axd[{k!r}]', fontsize=14)
+fig.suptitle('plt.subplot_mosaic()')
+
+# %%
+# See below for the description of how to do the same thing using
+# `~matplotlib.gridspec.GridSpec` or `~matplotlib.pyplot.subplot2grid`.
+#
+# Variable widths or heights in a grid
+# ------------------------------------
+#
+# Both `~.pyplot.subplots` and `~.pyplot.subplot_mosaic` allow the rows
+# in the grid to be different heights, and the columns to be different
+# widths using the *gridspec_kw* keyword argument.
+# Spacing parameters accepted by `~matplotlib.gridspec.GridSpec`
+# can be passed to `~matplotlib.pyplot.subplots` and
+# `~matplotlib.pyplot.subplot_mosaic`:
+
+gs_kw = dict(width_ratios=[1.4, 1], height_ratios=[1, 2])
+fig, axd = plt.subplot_mosaic([['upper left', 'right'],
+                               ['lower left', 'right']],
+                              gridspec_kw=gs_kw, figsize=(5.5, 3.5),
+                              layout="constrained")
+for k, ax in axd.items():
+    annotate_axes(ax, f'axd[{k!r}]', fontsize=14)
+fig.suptitle('plt.subplot_mosaic()')
+
+# %%
+# .. _nested_axes_layouts:
+#
+# Nested Axes layouts
+# -------------------
+#
+# Sometimes it is helpful to have two or more grids of Axes that
+# may not need to be related to one another.  The most simple way to
+# accomplish this is to use `.Figure.subfigures`.  Note that the subfigure
+# layouts are independent, so the Axes spines in each subfigure are not
+# necessarily aligned.  See below for a more verbose way to achieve the same
+# effect with `~.gridspec.GridSpecFromSubplotSpec`.
+
+fig = plt.figure(layout="constrained")
+subfigs = fig.subfigures(1, 2, wspace=0.07, width_ratios=[1.5, 1.])
+axs0 = subfigs[0].subplots(2, 2)
+subfigs[0].set_facecolor('lightblue')
+subfigs[0].suptitle('subfigs[0]\nLeft side')
+subfigs[0].supxlabel('xlabel for subfigs[0]')
+
+axs1 = subfigs[1].subplots(3, 1)
+subfigs[1].suptitle('subfigs[1]')
+subfigs[1].supylabel('ylabel for subfigs[1]')
+
+# %%
+# It is also possible to nest Axes using `~.pyplot.subplot_mosaic` using
+# nested lists.  This method does not use subfigures, like above, so lacks
+# the ability to add per-subfigure ``suptitle`` and ``supxlabel``, etc.
+# Rather it is a convenience wrapper around the `~.SubplotSpec.subgridspec`
+# method described below.
+
+inner = [['innerA'],
+         ['innerB']]
+outer = [['upper left',  inner],
+          ['lower left', 'lower right']]
+
+fig, axd = plt.subplot_mosaic(outer, layout="constrained")
+for k, ax in axd.items():
+    annotate_axes(ax, f'axd[{k!r}]')
+
+# %%
+# Low-level and advanced grid methods
+# ===================================
+#
+# Internally, the arrangement of a grid of Axes is controlled by creating
+# instances of `~.GridSpec` and `~.SubplotSpec`. *GridSpec* defines a
+# (possibly non-uniform) grid of cells. Indexing into the *GridSpec* returns
+# a SubplotSpec that covers one or more grid cells, and can be used to
+# specify the location of an Axes.
+#
+# The following examples show how to use low-level methods to arrange Axes
+# using *GridSpec* objects.
+#
+# Basic 2x2 grid
+# --------------
+#
+# We can accomplish a 2x2 grid in the same manner as
+# ``plt.subplots(2, 2)``:
+
+fig = plt.figure(figsize=(5.5, 3.5), layout="constrained")
+spec = fig.add_gridspec(ncols=2, nrows=2)
+
+ax0 = fig.add_subplot(spec[0, 0])
+annotate_axes(ax0, 'ax0')
+
+ax1 = fig.add_subplot(spec[0, 1])
+annotate_axes(ax1, 'ax1')
+
+ax2 = fig.add_subplot(spec[1, 0])
+annotate_axes(ax2, 'ax2')
+
+ax3 = fig.add_subplot(spec[1, 1])
+annotate_axes(ax3, 'ax3')
+
+fig.suptitle('Manually added subplots using add_gridspec')
+
+# %%
+# Axes spanning rows or grids in a grid
+# -------------------------------------
+#
+# We can index the *spec* array using `NumPy slice syntax
+# <https://numpy.org/doc/stable/user/basics.indexing.html>`_
+# and the new Axes will span the slice.  This would be the same
+# as ``fig, axd = plt.subplot_mosaic([['ax0', 'ax0'], ['ax1', 'ax2']], ...)``:
+
+fig = plt.figure(figsize=(5.5, 3.5), layout="constrained")
+spec = fig.add_gridspec(2, 2)
+
+ax0 = fig.add_subplot(spec[0, :])
+annotate_axes(ax0, 'ax0')
+
+ax10 = fig.add_subplot(spec[1, 0])
+annotate_axes(ax10, 'ax10')
+
+ax11 = fig.add_subplot(spec[1, 1])
+annotate_axes(ax11, 'ax11')
+
+fig.suptitle('Manually added subplots, spanning a column')
+
+# %%
+# Manual adjustments to a *GridSpec* layout
+# -----------------------------------------
+#
+# When a  *GridSpec* is explicitly used, you can adjust the layout
+# parameters of subplots that are created from the  *GridSpec*.  Note this
+# option is not compatible with *constrained layout* or
+# `.Figure.tight_layout` which both ignore *left* and *right* and adjust
+# subplot sizes to fill the figure.  Usually such manual placement
+# requires iterations to make the Axes tick labels not overlap the Axes.
+#
+# These spacing parameters can also be passed to `~.pyplot.subplots` and
+# `~.pyplot.subplot_mosaic` as the *gridspec_kw* argument.
+
+fig = plt.figure(layout=None, facecolor='lightblue')
+gs = fig.add_gridspec(nrows=3, ncols=3, left=0.05, right=0.75,
+                      hspace=0.1, wspace=0.05)
+ax0 = fig.add_subplot(gs[:-1, :])
+annotate_axes(ax0, 'ax0')
+ax1 = fig.add_subplot(gs[-1, :-1])
+annotate_axes(ax1, 'ax1')
+ax2 = fig.add_subplot(gs[-1, -1])
+annotate_axes(ax2, 'ax2')
+fig.suptitle('Manual gridspec with right=0.75')
+
+# %%
+# Nested layouts with SubplotSpec
+# -------------------------------
+#
+# You can create nested layout similar to `~.Figure.subfigures` using
+# `~.gridspec.SubplotSpec.subgridspec`.  Here the Axes spines *are*
+# aligned.
+#
+# Note this is also available from the more verbose
+# `.gridspec.GridSpecFromSubplotSpec`.
+
+fig = plt.figure(layout="constrained")
+gs0 = fig.add_gridspec(1, 2)
+
+gs00 = gs0[0].subgridspec(2, 2)
+gs01 = gs0[1].subgridspec(3, 1)
+
+for a in range(2):
+    for b in range(2):
+        ax = fig.add_subplot(gs00[a, b])
+        annotate_axes(ax, f'axLeft[{a}, {b}]', fontsize=10)
+        if a == 1 and b == 1:
+            ax.set_xlabel('xlabel')
+for a in range(3):
+    ax = fig.add_subplot(gs01[a])
+    annotate_axes(ax, f'axRight[{a}, {b}]')
+    if a == 2:
+        ax.set_ylabel('ylabel')
+
+fig.suptitle('nested gridspecs')
+
+# %%
+# Here's a more sophisticated example of nested *GridSpec*: We create an outer
+# 4x4 grid with each cell containing an inner 3x3 grid of Axes. We outline
+# the outer 4x4 grid by hiding appropriate spines in each of the inner 3x3
+# grids.
+
+
+def squiggle_xy(a, b, c, d, i=np.arange(0.0, 2*np.pi, 0.05)):
+    return np.sin(i*a)*np.cos(i*b), np.sin(i*c)*np.cos(i*d)
+
+fig = plt.figure(figsize=(8, 8), layout='constrained')
+outer_grid = fig.add_gridspec(4, 4, wspace=0, hspace=0)
+
+for a in range(4):
+    for b in range(4):
+        # gridspec inside gridspec
+        inner_grid = outer_grid[a, b].subgridspec(3, 3, wspace=0, hspace=0)
+        axs = inner_grid.subplots()  # Create all subplots for the inner grid.
+        for (c, d), ax in np.ndenumerate(axs):
+            ax.plot(*squiggle_xy(a + 1, b + 1, c + 1, d + 1))
+            ax.set(xticks=[], yticks=[])
+
+# show only the outside spines
+for ax in fig.get_axes():
+    ss = ax.get_subplotspec()
+    ax.spines.top.set_visible(ss.is_first_row())
+    ax.spines.bottom.set_visible(ss.is_last_row())
+    ax.spines.left.set_visible(ss.is_first_col())
+    ax.spines.right.set_visible(ss.is_last_col())
+
+plt.show()
+
+# %%
+#
+# More reading
+# ============
+#
+# - More details about :ref:`subplot mosaic <mosaic>`.
+# - More details about :ref:`constrained layout
+#   <constrainedlayout_guide>`, used to align
+#   spacing in most of these examples.
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.pyplot.subplots`
+#    - `matplotlib.pyplot.subplot_mosaic`
+#    - `matplotlib.figure.Figure.add_gridspec`
+#    - `matplotlib.figure.Figure.add_subplot`
+#    - `matplotlib.gridspec.GridSpec`
+#    - `matplotlib.gridspec.SubplotSpec.subgridspec`
+#    - `matplotlib.gridspec.GridSpecFromSubplotSpec`
diff --git a/galleries/users_explain/axes/autoscale.py b/galleries/users_explain/axes/autoscale.py
new file mode 100644
index 000000000000..df1fbbc8aea8
--- /dev/null
+++ b/galleries/users_explain/axes/autoscale.py
@@ -0,0 +1,180 @@
+"""
+.. redirect-from:: /tutorials/intermediate/autoscale
+
+.. _autoscale:
+
+Axis autoscaling
+================
+
+The limits on an axis can be set manually (e.g. ``ax.set_xlim(xmin, xmax)``)
+or Matplotlib can set them automatically based on the data already on the Axes.
+There are a number of options to this autoscaling behaviour, discussed below.
+"""
+
+# %%
+# We will start with a simple line plot showing that autoscaling
+# extends the axis limits 5% beyond the data limits (-2Ï€, 2Ï€).
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+x = np.linspace(-2 * np.pi, 2 * np.pi, 100)
+y = np.sinc(x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+
+# %%
+# Margins
+# -------
+# The default margin around the data limits is 5%, which is based on the
+# default configuration setting of :rc:`axes.xmargin`, :rc:`axes.ymargin`,
+# and :rc:`axes.zmargin`:
+
+print(ax.margins())
+
+# %%
+# The margin size can be overridden to make them smaller or larger using
+# `~matplotlib.axes.Axes.margins`:
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.margins(0.2, 0.2)
+
+# %%
+# In general, margins can be in the range (-0.5, ∞), where negative margins set
+# the axes limits to a subrange of the data range, i.e. they clip data.
+# Using a single number for margins affects both axes, a single margin can be
+# customized using keyword arguments ``x`` or ``y``, but positional and keyword
+# interface cannot be combined.
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.margins(y=-0.2)
+
+# %%
+# Sticky edges
+# ------------
+# There are plot elements (`.Artist`\s) that are usually used without margins.
+# For example false-color images (e.g. created with `.Axes.imshow`) are not
+# considered in the margins calculation.
+#
+
+xx, yy = np.meshgrid(x, x)
+zz = np.sinc(np.sqrt((xx - 1)**2 + (yy - 1)**2))
+
+fig, ax = plt.subplots(ncols=2, figsize=(12, 8))
+ax[0].imshow(zz)
+ax[0].set_title("default margins")
+ax[1].imshow(zz)
+ax[1].margins(0.2)
+ax[1].set_title("margins(0.2)")
+
+# %%
+# This override of margins is determined by "sticky edges", a
+# property of `.Artist` class that can suppress adding margins to axis
+# limits. The effect of sticky edges can be disabled on an Axes by changing
+# `~matplotlib.axes.Axes.use_sticky_edges`.
+# Artists have a property `.Artist.sticky_edges`, and the values of
+# sticky edges can be changed by writing to ``Artist.sticky_edges.x`` or
+# ``Artist.sticky_edges.y``.
+#
+# The following example shows how overriding works and when it is needed.
+
+fig, ax = plt.subplots(ncols=3, figsize=(16, 10))
+ax[0].imshow(zz)
+ax[0].margins(0.2)
+ax[0].set_title("default use_sticky_edges\nmargins(0.2)")
+ax[1].imshow(zz)
+ax[1].margins(0.2)
+ax[1].use_sticky_edges = False
+ax[1].set_title("use_sticky_edges=False\nmargins(0.2)")
+ax[2].imshow(zz)
+ax[2].margins(-0.2)
+ax[2].set_title("default use_sticky_edges\nmargins(-0.2)")
+
+# %%
+# We can see that setting ``use_sticky_edges`` to *False* renders the image
+# with requested margins.
+#
+# While sticky edges don't increase the axis limits through extra margins,
+# negative margins are still taken into account. This can be seen in
+# the reduced limits of the third image.
+#
+# Controlling autoscale
+# ---------------------
+#
+# By default, the limits are
+# recalculated every time you add a new curve to the plot:
+
+fig, ax = plt.subplots(ncols=2, figsize=(12, 8))
+ax[0].plot(x, y)
+ax[0].set_title("Single curve")
+ax[1].plot(x, y)
+ax[1].plot(x * 2.0, y)
+ax[1].set_title("Two curves")
+
+# %%
+# However, there are cases when you don't want to automatically adjust the
+# viewport to new data.
+#
+# One way to disable autoscaling is to manually set the
+# axis limit. Let's say that we want to see only a part of the data in
+# greater detail. Setting the ``xlim`` persists even if we add more curves to
+# the data. To recalculate the new limits  calling `.Axes.autoscale` will
+# toggle the functionality manually.
+
+fig, ax = plt.subplots(ncols=2, figsize=(12, 8))
+ax[0].plot(x, y)
+ax[0].set_xlim(left=-1, right=1)
+ax[0].plot(x + np.pi * 0.5, y)
+ax[0].set_title("set_xlim(left=-1, right=1)\n")
+ax[1].plot(x, y)
+ax[1].set_xlim(left=-1, right=1)
+ax[1].plot(x + np.pi * 0.5, y)
+ax[1].autoscale()
+ax[1].set_title("set_xlim(left=-1, right=1)\nautoscale()")
+
+# %%
+# We can check that the first plot has autoscale disabled and that the second
+# plot has it enabled again by using `.Axes.get_autoscale_on()`:
+
+print(ax[0].get_autoscale_on())  # False means disabled
+print(ax[1].get_autoscale_on())  # True means enabled -> recalculated
+
+# %%
+# Arguments of the autoscale function give us precise control over the process
+# of autoscaling. A combination of arguments ``enable``, and ``axis`` sets the
+# autoscaling feature for the selected axis (or both). The argument ``tight``
+# sets the margin of the selected axis to zero. To preserve settings of either
+# ``enable`` or ``tight`` you can set the opposite one to *None*, that way
+# it should not be modified. However, setting ``enable`` to *None* and tight
+# to *True* affects both axes regardless of the ``axis`` argument.
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.margins(0.2, 0.2)
+ax.autoscale(enable=None, axis="x", tight=True)
+
+print(ax.margins())
+
+# %%
+# Working with collections
+# ------------------------
+#
+# Autoscale works out of the box for all lines, patches, and images added to
+# the Axes. One of the artists that it won't work with is a `.Collection`.
+# After adding a collection to the Axes, one has to manually trigger the
+# `~matplotlib.axes.Axes.autoscale_view()` to recalculate
+# axes limits.
+
+fig, ax = plt.subplots()
+collection = mpl.collections.StarPolygonCollection(
+    5, rotation=0, sizes=(250,),  # five point star, zero angle, size 250px
+    offsets=np.column_stack([x, y]),  # Set the positions
+    offset_transform=ax.transData,  # Propagate transformations of the Axes
+)
+ax.add_collection(collection)
+ax.autoscale_view()
diff --git a/galleries/users_explain/axes/axes_intro.rst b/galleries/users_explain/axes/axes_intro.rst
new file mode 100644
index 000000000000..16738d929056
--- /dev/null
+++ b/galleries/users_explain/axes/axes_intro.rst
@@ -0,0 +1,180 @@
+##################################
+Introduction to Axes (or Subplots)
+##################################
+
+
+Matplotlib `~.axes.Axes` are the gateway to creating your data visualizations.
+Once an Axes is placed on a figure there are many methods that can be used to
+add data to the Axes. An Axes typically has a pair of `~.axis.Axis`
+Artists that define the data coordinate system, and include methods to add
+annotations like x- and y-labels, titles, and legends.
+
+.. _anatomy_local:
+
+.. figure:: /_static/anatomy.png
+    :width: 80%
+
+    Anatomy of a Figure
+
+In the picture above, the Axes object was created with ``ax = fig.subplots()``.
+Everything else on the figure was created with methods on this ``ax`` object,
+or can be accessed from it.  If we want to change the label on the x-axis, we
+call ``ax.set_xlabel('New Label')``, if we want to plot some data we call
+``ax.plot(x, y)``.  Indeed, in the figure above, the only Artist that is not
+part of the Axes is the Figure itself, so the `.axes.Axes` class is really the
+gateway to much of Matplotlib's functionality.
+
+Note that Axes are so fundamental to the operation of Matplotlib that a lot of
+material here is duplicate of that in :ref:`quick_start`.
+
+Creating Axes
+-------------
+
+.. plot::
+    :include-source:
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(3.5, 2.5),
+                            layout="constrained")
+    # for each Axes, add an artist, in this case a nice label in the middle...
+    for row in range(2):
+        for col in range(2):
+            axs[row, col].annotate(f'axs[{row}, {col}]', (0.5, 0.5),
+                                transform=axs[row, col].transAxes,
+                                ha='center', va='center', fontsize=18,
+                                color='darkgrey')
+    fig.suptitle('plt.subplots()')
+
+
+Axes are added using methods on `~.Figure` objects, or via the `~.pyplot` interface.  These methods are discussed in more detail in :ref:`creating_figures` and :doc:`arranging_axes`. However, for instance `~.Figure.add_axes` will manually position an Axes on the page. In the example above `~.pyplot.subplots` put a grid of subplots on the figure, and ``axs`` is a (2, 2) array of Axes, each of which can have data added to them.
+
+There are a number of other methods for adding Axes to a Figure:
+
+* `.Figure.add_axes`: manually position an Axes. ``fig.add_axes([0, 0, 1,
+  1])`` makes an Axes that fills the whole figure.
+* `.pyplot.subplots` and `.Figure.subplots`: add a grid of Axes as in the example
+  above.  The pyplot version returns both the Figure object and an array of
+  Axes.  Note that ``fig, ax = plt.subplots()`` adds a single Axes to a Figure.
+* `.pyplot.subplot_mosaic` and `.Figure.subplot_mosaic`: add a grid of named
+  Axes and return a dictionary of axes.  For ``fig, axs =
+  plt.subplot_mosaic([['left', 'right'], ['bottom', 'bottom']])``,
+  ``axs['left']`` is an Axes in the top row on the left, and ``axs['bottom']``
+  is an Axes that spans both columns on the bottom.
+
+See :doc:`arranging_axes` for more detail on how to arrange grids of Axes on a
+Figure.
+
+
+Axes plotting methods
+---------------------
+
+Most of the high-level plotting methods are accessed from the `.axes.Axes`
+class.  See the API documentation for a full curated list, and
+:ref:`plot_types` for examples.  A basic example is `.axes.Axes.plot`:
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(4, 3))
+    np.random.seed(19680801)
+    t = np.arange(100)
+    x = np.cumsum(np.random.randn(100))
+    lines = ax.plot(t, x)
+
+Note that ``plot`` returns a list of *lines* Artists which can subsequently be
+manipulated, as discussed in :ref:`users_artists`.
+
+A very incomplete list of plotting methods is below.  Again, see :ref:`plot_types`
+for more examples, and `.axes.Axes` for the full list of methods.
+
+========================= ==================================================
+:ref:`basic_plots`        `~.axes.Axes.plot`, `~.axes.Axes.scatter`,
+                          `~.axes.Axes.bar`, `~.axes.Axes.step`,
+:ref:`arrays`             `~.axes.Axes.pcolormesh`, `~.axes.Axes.contour`,
+                          `~.axes.Axes.quiver`, `~.axes.Axes.streamplot`,
+                          `~.axes.Axes.imshow`
+:ref:`stats_plots`        `~.axes.Axes.hist`, `~.axes.Axes.errorbar`,
+                          `~.axes.Axes.hist2d`, `~.axes.Axes.pie`,
+                          `~.axes.Axes.boxplot`, `~.axes.Axes.violinplot`
+:ref:`unstructured_plots` `~.axes.Axes.tricontour`, `~.axes.Axes.tripcolor`
+========================= ==================================================
+
+Axes labelling and annotation
+-----------------------------
+
+Usually we want to label the Axes with an xlabel, ylabel, and title, and often we want to have a legend to differentiate plot elements.  The `~.axes.Axes` class has a number of methods to create these annotations.
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(5, 3), layout='constrained')
+    np.random.seed(19680801)
+    t = np.arange(200)
+    x = np.cumsum(np.random.randn(200))
+    y = np.cumsum(np.random.randn(200))
+    linesx = ax.plot(t, x, label='Random walk x')
+    linesy = ax.plot(t, y, label='Random walk y')
+
+    ax.set_xlabel('Time [s]')
+    ax.set_ylabel('Distance [km]')
+    ax.set_title('Random walk example')
+    ax.legend()
+
+These methods are relatively straight-forward, though there are a number of :ref:`text_props` that can be set on the text objects, like *fontsize*, *fontname*, *horizontalalignment*.  Legends can be much more complicated; see :ref:`legend_guide` for more details.
+
+Note that text can also be added to axes using `~.axes.Axes.text`, and `~.axes.Axes.annotate`.  This can be quite sophisticated: see :ref:`text_props` and :ref:`annotations` for more information.
+
+
+Axes limits, scales, and ticking
+--------------------------------
+
+Each Axes has two (or more) `~.axis.Axis` objects, that can be accessed via :attr:`!matplotlib.axes.Axes.xaxis` and :attr:`!matplotlib.axes.Axes.yaxis` properties.  These have substantial number of methods on them, and for highly customizable Axis-es it is useful to read the API at `~.axis.Axis`.   However, the Axes class offers a number of helpers for the most common of these methods.  Indeed, the `~.axes.Axes.set_xlabel`, discussed above, is a helper for the `~.Axis.set_label_text`.
+
+Other important methods set the extent on the axes (`~.axes.Axes.set_xlim`, `~.axes.Axes.set_ylim`), or more fundamentally the scale of the axes.  So for instance, we can make an Axis have a logarithmic scale, and zoom in on a sub-portion of the data:
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(4, 2.5), layout='constrained')
+    np.random.seed(19680801)
+    t = np.arange(200)
+    x = 2**np.cumsum(np.random.randn(200))
+    linesx = ax.plot(t, x)
+    ax.set_yscale('log')
+    ax.set_xlim([20, 180])
+
+The Axes class also has helpers to deal with Axis ticks and their labels.  Most straight-forward is `~.axes.Axes.set_xticks` and `~.axes.Axes.set_yticks` which manually set the tick locations and optionally their labels.  Minor ticks can be toggled with `~.axes.Axes.minorticks_on` or `~.axes.Axes.minorticks_off`.
+
+Many aspects of Axes ticks and tick labeling can be adjusted using `~.axes.Axes.tick_params`. For instance, to label the top of the axes instead of the bottom,color the ticks red, and color the ticklabels green:
+
+.. plot::
+    :include-source:
+
+    fig, ax = plt.subplots(figsize=(4, 2.5))
+    ax.plot(np.arange(10))
+    ax.tick_params(top=True, labeltop=True, color='red', axis='x',
+                   labelcolor='green')
+
+
+More fine-grained control on ticks, setting scales, and controlling the Axis can be highly customized beyond these Axes-level helpers.
+
+Axes layout
+-----------
+
+Sometimes it is important to set the aspect ratio of a plot in data space, which we can do with `~.axes.Axes.set_aspect`:
+
+.. plot::
+    :include-source:
+
+    fig, axs = plt.subplots(ncols=2, figsize=(7, 2.5), layout='constrained')
+    np.random.seed(19680801)
+    t = np.arange(200)
+    x = np.cumsum(np.random.randn(200))
+    axs[0].plot(t, x)
+    axs[0].set_title('aspect="auto"')
+
+    axs[1].plot(t, x)
+    axs[1].set_aspect(3)
+    axs[1].set_title('aspect=3')
diff --git a/galleries/users_explain/axes/axes_scales.py b/galleries/users_explain/axes/axes_scales.py
new file mode 100644
index 000000000000..6b163835070c
--- /dev/null
+++ b/galleries/users_explain/axes/axes_scales.py
@@ -0,0 +1,220 @@
+"""
+.. _user_axes_scales:
+
+===========
+Axis scales
+===========
+
+By default Matplotlib displays data on the axis using a linear scale.
+Matplotlib also supports `logarithmic scales
+<https://en.wikipedia.org/wiki/Logarithmic_scale>`_, and other less common
+scales as well. Usually this can be done directly by using the
+`~.axes.Axes.set_xscale` or `~.axes.Axes.set_yscale` methods.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.scale as mscale
+from matplotlib.ticker import FixedLocator, NullFormatter
+
+fig, axs = plt.subplot_mosaic([['linear', 'linear-log'],
+                               ['log-linear', 'log-log']], layout='constrained')
+
+x = np.arange(0, 3*np.pi, 0.1)
+y = 2 * np.sin(x) + 3
+
+ax = axs['linear']
+ax.plot(x, y)
+ax.set_xlabel('linear')
+ax.set_ylabel('linear')
+
+ax = axs['linear-log']
+ax.plot(x, y)
+ax.set_yscale('log')
+ax.set_xlabel('linear')
+ax.set_ylabel('log')
+
+ax = axs['log-linear']
+ax.plot(x, y)
+ax.set_xscale('log')
+ax.set_xlabel('log')
+ax.set_ylabel('linear')
+
+ax = axs['log-log']
+ax.plot(x, y)
+ax.set_xscale('log')
+ax.set_yscale('log')
+ax.set_xlabel('log')
+ax.set_ylabel('log')
+
+# %%
+# loglog and semilogx/y
+# =====================
+#
+# The logarithmic axis is used so often that there are a set
+# helper functions, that do the same thing: `~.axes.Axes.semilogy`,
+# `~.axes.Axes.semilogx`, and `~.axes.Axes.loglog`.
+
+fig, axs = plt.subplot_mosaic([['linear', 'linear-log'],
+                               ['log-linear', 'log-log']], layout='constrained')
+
+x = np.arange(0, 3*np.pi, 0.1)
+y = 2 * np.sin(x) + 3
+
+ax = axs['linear']
+ax.plot(x, y)
+ax.set_xlabel('linear')
+ax.set_ylabel('linear')
+ax.set_title('plot(x, y)')
+
+ax = axs['linear-log']
+ax.semilogy(x, y)
+ax.set_xlabel('linear')
+ax.set_ylabel('log')
+ax.set_title('semilogy(x, y)')
+
+ax = axs['log-linear']
+ax.semilogx(x, y)
+ax.set_xlabel('log')
+ax.set_ylabel('linear')
+ax.set_title('semilogx(x, y)')
+
+ax = axs['log-log']
+ax.loglog(x, y)
+ax.set_xlabel('log')
+ax.set_ylabel('log')
+ax.set_title('loglog(x, y)')
+
+# %%
+# Other built-in scales
+# =====================
+#
+# There are other scales that can be used.  The list of registered
+# scales can be returned from `.scale.get_scale_names`:
+
+print(mscale.get_scale_names())
+
+# %%
+#
+
+fig, axs = plt.subplot_mosaic([['asinh', 'symlog'],
+                               ['log', 'logit']], layout='constrained')
+
+x = np.arange(0, 1000)
+
+for name, ax in axs.items():
+    if name in ['asinh', 'symlog']:
+        yy = x - np.mean(x)
+    elif name in ['logit']:
+        yy = (x-np.min(x))
+        yy = yy / np.max(np.abs(yy))
+    else:
+        yy = x
+
+    ax.plot(yy, yy)
+    ax.set_yscale(name)
+    ax.set_title(name)
+
+# %%
+# Optional arguments for scales
+# =============================
+#
+# Some of the default scales have optional arguments.  These are
+# documented in the API reference for the respective scales at
+# `~.matplotlib.scale`.  One can change the base of the logarithm
+# being plotted (eg 2 below) or the linear threshold range
+# for ``'symlog'``.
+
+fig, axs = plt.subplot_mosaic([['log', 'symlog']], layout='constrained',
+                              figsize=(6.4, 3))
+
+for name, ax in axs.items():
+    if name in ['log']:
+        ax.plot(x, x)
+        ax.set_yscale('log', base=2)
+        ax.set_title('log base=2')
+    else:
+        ax.plot(x - np.mean(x), x - np.mean(x))
+        ax.set_yscale('symlog', linthresh=100)
+        ax.set_title('symlog linthresh=100')
+
+
+# %%
+#
+# Arbitrary function scales
+# ============================
+#
+# Users can define a full scale class and pass that to `~.axes.Axes.set_xscale`
+# and `~.axes.Axes.set_yscale` (see :ref:`custom_scale`).  A short cut for this
+# is to use the 'function' scale, and pass as extra arguments a ``forward`` and
+# an ``inverse`` function.  The following performs a `Mercator transform
+# <https://en.wikipedia.org/wiki/Mercator_projection>`_ to the y-axis.
+
+# Function Mercator transform
+def forward(a):
+    a = np.deg2rad(a)
+    return np.rad2deg(np.log(np.abs(np.tan(a) + 1.0 / np.cos(a))))
+
+
+def inverse(a):
+    a = np.deg2rad(a)
+    return np.rad2deg(np.arctan(np.sinh(a)))
+
+
+t = np.arange(0, 170.0, 0.1)
+s = t / 2.
+
+fig, ax = plt.subplots(layout='constrained')
+ax.plot(t, s, '-', lw=2)
+
+ax.set_yscale('function', functions=(forward, inverse))
+ax.set_title('function: Mercator')
+ax.grid(True)
+ax.set_xlim([0, 180])
+ax.yaxis.set_minor_formatter(NullFormatter())
+ax.yaxis.set_major_locator(FixedLocator(np.arange(0, 90, 10)))
+
+
+# %%
+#
+# What is a "scale"?
+# ==================
+#
+# A scale is an object that gets attached to an axis.  The class documentation
+# is at `~matplotlib.scale`. `~.axes.Axes.set_xscale` and `~.axes.Axes.set_yscale`
+# set the scale on the respective Axis objects.  You can determine the scale
+# on an axis with `~.axis.Axis.get_scale`:
+
+fig, ax = plt.subplots(layout='constrained',
+                              figsize=(3.2, 3))
+ax.semilogy(x, x)
+
+print(ax.xaxis.get_scale())
+print(ax.yaxis.get_scale())
+
+# %%
+#
+# Setting a scale does three things.  First it defines a transform on the axis
+# that maps between data values to position along the axis.  This transform can
+# be accessed via ``get_transform``:
+
+print(ax.yaxis.get_transform())
+
+# %%
+#
+# Transforms on the axis are a relatively low-level concept, but is one of the
+# important roles played by ``set_scale``.
+#
+# Setting the scale also sets default tick locators (`~.ticker`) and tick
+# formatters appropriate for the scale.   An axis with a 'log' scale has a
+# `~.ticker.LogLocator` to pick ticks at decade intervals, and a
+# `~.ticker.LogFormatter` to use scientific notation on the decades.
+
+print('X axis')
+print(ax.xaxis.get_major_locator())
+print(ax.xaxis.get_major_formatter())
+
+print('Y axis')
+print(ax.yaxis.get_major_locator())
+print(ax.yaxis.get_major_formatter())
diff --git a/galleries/users_explain/axes/axes_ticks.py b/galleries/users_explain/axes/axes_ticks.py
new file mode 100644
index 000000000000..111f2e776673
--- /dev/null
+++ b/galleries/users_explain/axes/axes_ticks.py
@@ -0,0 +1,275 @@
+"""
+.. _user_axes_ticks:
+
+==========
+Axis ticks
+==========
+
+The x and y Axis on each Axes have default tick "locators" and "formatters"
+that depend on the scale being used (see :ref:`user_axes_scales`).  It is
+possible to customize the ticks and tick labels with either high-level methods
+like `~.axes.Axes.set_xticks` or set the locators and formatters directly on
+the axis.
+
+Manual location and formats
+===========================
+
+The simplest method to customize the tick locations and formats is to use
+`~.axes.Axes.set_xticks` and `~.axes.Axes.set_yticks`.  These can be used on
+either the major or the minor ticks.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+import matplotlib.ticker as ticker
+
+
+fig, axs = plt.subplots(2, 1, figsize=(5.4, 5.4), layout='constrained')
+x = np.arange(100)
+for nn, ax in enumerate(axs):
+    ax.plot(x, x)
+    if nn == 1:
+        ax.set_title('Manual ticks')
+        ax.set_yticks(np.arange(0, 100.1, 100/3))
+        xticks = np.arange(0.50, 101, 20)
+        xlabels = [f'\\${x:1.2f}' for x in xticks]
+        ax.set_xticks(xticks, labels=xlabels)
+    else:
+        ax.set_title('Automatic ticks')
+
+# %%
+#
+# Note that the length of the ``labels`` argument must have the same length as
+# the array used to specify the ticks.
+#
+# By default `~.axes.Axes.set_xticks` and `~.axes.Axes.set_yticks` act on the
+# major ticks of an Axis, however it is possible to add minor ticks:
+
+fig, axs = plt.subplots(2, 1, figsize=(5.4, 5.4), layout='constrained')
+x = np.arange(100)
+for nn, ax in enumerate(axs):
+    ax.plot(x, x)
+    if nn == 1:
+        ax.set_title('Manual ticks')
+        ax.set_yticks(np.arange(0, 100.1, 100/3))
+        ax.set_yticks(np.arange(0, 100.1, 100/30), minor=True)
+    else:
+        ax.set_title('Automatic ticks')
+
+
+# %%
+#
+# Locators and Formatters
+# =======================
+#
+# Manually setting the ticks as above works well for specific final plots, but
+# does not adapt as the user interacts with the Axes.   At a lower level,
+# Matplotlib has ``Locators`` that are meant to automatically choose ticks
+# depending on the current view limits of the axis, and ``Formatters`` that are
+# meant to format the tick labels automatically.
+#
+# The full list of locators provided by Matplotlib are listed at
+# :ref:`locators`, and the formatters at :ref:`formatters`.
+
+
+# %%
+
+def setup(ax, title):
+    """Set up common parameters for the Axes in the example."""
+    # only show the bottom spine
+    ax.yaxis.set_major_locator(ticker.NullLocator())
+    ax.spines[['left', 'right', 'top']].set_visible(False)
+
+    ax.xaxis.set_ticks_position('bottom')
+    ax.tick_params(which='major', width=1.00, length=5)
+    ax.tick_params(which='minor', width=0.75, length=2.5)
+    ax.set_xlim(0, 5)
+    ax.set_ylim(0, 1)
+    ax.text(0.0, 0.2, title, transform=ax.transAxes,
+            fontsize=14, fontname='Monospace', color='tab:blue')
+
+
+fig, axs = plt.subplots(8, 1, layout='constrained')
+
+# Null Locator
+setup(axs[0], title="NullLocator()")
+axs[0].xaxis.set_major_locator(ticker.NullLocator())
+axs[0].xaxis.set_minor_locator(ticker.NullLocator())
+
+# Multiple Locator
+setup(axs[1], title="MultipleLocator(0.5)")
+axs[1].xaxis.set_major_locator(ticker.MultipleLocator(0.5))
+axs[1].xaxis.set_minor_locator(ticker.MultipleLocator(0.1))
+
+# Fixed Locator
+setup(axs[2], title="FixedLocator([0, 1, 5])")
+axs[2].xaxis.set_major_locator(ticker.FixedLocator([0, 1, 5]))
+axs[2].xaxis.set_minor_locator(ticker.FixedLocator(np.linspace(0.2, 0.8, 4)))
+
+# Linear Locator
+setup(axs[3], title="LinearLocator(numticks=3)")
+axs[3].xaxis.set_major_locator(ticker.LinearLocator(3))
+axs[3].xaxis.set_minor_locator(ticker.LinearLocator(31))
+
+# Index Locator
+setup(axs[4], title="IndexLocator(base=0.5, offset=0.25)")
+axs[4].plot(range(0, 5), [0]*5, color='white')
+axs[4].xaxis.set_major_locator(ticker.IndexLocator(base=0.5, offset=0.25))
+
+# Auto Locator
+setup(axs[5], title="AutoLocator()")
+axs[5].xaxis.set_major_locator(ticker.AutoLocator())
+axs[5].xaxis.set_minor_locator(ticker.AutoMinorLocator())
+
+# MaxN Locator
+setup(axs[6], title="MaxNLocator(n=4)")
+axs[6].xaxis.set_major_locator(ticker.MaxNLocator(4))
+axs[6].xaxis.set_minor_locator(ticker.MaxNLocator(40))
+
+# Log Locator
+setup(axs[7], title="LogLocator(base=10, numticks=15)")
+axs[7].set_xlim(10**3, 10**10)
+axs[7].set_xscale('log')
+axs[7].xaxis.set_major_locator(ticker.LogLocator(base=10, numticks=15))
+plt.show()
+
+# %%
+#
+# Similarly, we can specify "Formatters" for the major and minor ticks on each
+# axis.
+#
+# The tick format is configured via the function `~.Axis.set_major_formatter`
+# or `~.Axis.set_minor_formatter`. It accepts:
+#
+# - a format string, which implicitly creates a `.StrMethodFormatter`.
+# - a function,  implicitly creates a `.FuncFormatter`.
+# - an instance of a `.Formatter` subclass. The most common are
+#
+#   - `.NullFormatter`: No labels on the ticks.
+#   - `.StrMethodFormatter`: Use string `str.format` method.
+#   - `.FormatStrFormatter`: Use %-style formatting.
+#   - `.FuncFormatter`: Define labels through a function.
+#   - `.FixedFormatter`: Set the label strings explicitly.
+#   - `.ScalarFormatter`: Default formatter for scalars: auto-pick the format string.
+#   - `.PercentFormatter`: Format labels as a percentage.
+#
+# See :ref:`formatters` for the complete list.
+
+
+def setup(ax, title):
+    """Set up common parameters for the Axes in the example."""
+    # only show the bottom spine
+    ax.yaxis.set_major_locator(ticker.NullLocator())
+    ax.spines[['left', 'right', 'top']].set_visible(False)
+
+    # define tick positions
+    ax.xaxis.set_major_locator(ticker.MultipleLocator(1.00))
+    ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
+
+    ax.xaxis.set_ticks_position('bottom')
+    ax.tick_params(which='major', width=1.00, length=5)
+    ax.tick_params(which='minor', width=0.75, length=2.5, labelsize=10)
+    ax.set_xlim(0, 5)
+    ax.set_ylim(0, 1)
+    ax.text(0.0, 0.2, title, transform=ax.transAxes,
+            fontsize=14, fontname='Monospace', color='tab:blue')
+
+
+fig = plt.figure(figsize=(8, 8), layout='constrained')
+fig0, fig1, fig2 = fig.subfigures(3, height_ratios=[1.5, 1.5, 7.5])
+
+fig0.suptitle('String Formatting', fontsize=16, x=0, ha='left')
+ax0 = fig0.subplots()
+
+setup(ax0, title="'{x} km'")
+ax0.xaxis.set_major_formatter('{x} km')
+
+fig1.suptitle('Function Formatting', fontsize=16, x=0, ha='left')
+ax1 = fig1.subplots()
+
+setup(ax1, title="def(x, pos): return str(x-5)")
+ax1.xaxis.set_major_formatter(lambda x, pos: str(x-5))
+
+fig2.suptitle('Formatter Object Formatting', fontsize=16, x=0, ha='left')
+axs2 = fig2.subplots(7, 1)
+
+setup(axs2[0], title="NullFormatter()")
+axs2[0].xaxis.set_major_formatter(ticker.NullFormatter())
+
+setup(axs2[1], title="StrMethodFormatter('{x:.3f}')")
+axs2[1].xaxis.set_major_formatter(ticker.StrMethodFormatter("{x:.3f}"))
+
+setup(axs2[2], title="FormatStrFormatter('#%d')")
+axs2[2].xaxis.set_major_formatter(ticker.FormatStrFormatter("#%d"))
+
+
+def fmt_two_digits(x, pos):
+    return f'[{x:.2f}]'
+
+
+setup(axs2[3], title='FuncFormatter("[{:.2f}]".format)')
+axs2[3].xaxis.set_major_formatter(ticker.FuncFormatter(fmt_two_digits))
+
+setup(axs2[4], title="FixedFormatter(['A', 'B', 'C', 'D', 'E', 'F'])")
+# FixedFormatter should only be used together with FixedLocator.
+# Otherwise, one cannot be sure where the labels will end up.
+positions = [0, 1, 2, 3, 4, 5]
+labels = ['A', 'B', 'C', 'D', 'E', 'F']
+axs2[4].xaxis.set_major_locator(ticker.FixedLocator(positions))
+axs2[4].xaxis.set_major_formatter(ticker.FixedFormatter(labels))
+
+setup(axs2[5], title="ScalarFormatter()")
+axs2[5].xaxis.set_major_formatter(ticker.ScalarFormatter(useMathText=True))
+
+setup(axs2[6], title="PercentFormatter(xmax=5)")
+axs2[6].xaxis.set_major_formatter(ticker.PercentFormatter(xmax=5))
+
+
+# %%
+#
+# Styling ticks (tick parameters)
+# ===============================
+#
+# The appearance of ticks can be controlled at a low level by finding the
+# individual `~.axis.Tick` on the axis.  However, usually it is simplest to
+# use `~.axes.Axes.tick_params` to change all the objects at once.
+#
+# The ``tick_params`` method can change the properties of ticks:
+#
+# - length
+# - direction (in or out of the frame)
+# - colors
+# - width and length
+# - and whether the ticks are drawn at the bottom, top, left, or right of the
+#   Axes.
+#
+# It also can control the tick labels:
+#
+# - labelsize (fontsize)
+# - labelcolor (color of the label)
+# - labelrotation
+# - labelbottom, labeltop, labelleft, labelright
+#
+# In addition there is a *pad* keyword argument that specifies how far the tick
+# label is from the tick.
+#
+# Finally, the grid linestyles can be set:
+#
+# - grid_color
+# - grid_alpha
+# - grid_linewidth
+# - grid_linestyle
+#
+# All these properties can be restricted to one axis, and can be applied to
+# just the major or minor ticks
+
+fig, axs = plt.subplots(1, 2, figsize=(6.4, 3.2), layout='constrained')
+
+for nn, ax in enumerate(axs):
+    ax.plot(np.arange(100))
+    if nn == 1:
+        ax.grid('on')
+        ax.tick_params(right=True, left=False, axis='y', color='r', length=16,
+                       grid_color='none')
+        ax.tick_params(axis='x', color='m', length=4, direction='in', width=4,
+                       labelcolor='g', grid_color='b')
diff --git a/galleries/users_explain/axes/axes_units.py b/galleries/users_explain/axes/axes_units.py
new file mode 100644
index 000000000000..a9159abe33ce
--- /dev/null
+++ b/galleries/users_explain/axes/axes_units.py
@@ -0,0 +1,293 @@
+"""
+.. _user_axes_units:
+
+==========================
+Plotting dates and strings
+==========================
+
+The most basic way to use Matplotlib plotting methods is to pass coordinates in
+as numerical numpy arrays.  For example, ``plot(x, y)`` will work if ``x`` and
+``y`` are numpy arrays of floats (or integers).  Plotting methods will also
+work if `numpy.asarray` will convert ``x`` and ``y`` to an array of floating
+point numbers; e.g. ``x`` could be a python list.
+
+Matplotlib also has the ability to convert other data types if a "unit
+converter" exists for the data type.  Matplotlib has two built-in converters,
+one for dates and the other for lists of strings.  Other downstream libraries
+have their own converters to handle their data types.
+
+The method to add converters to Matplotlib is described in `matplotlib.units`.
+Here we briefly overview the built-in date and string converters.
+
+Date conversion
+===============
+
+If ``x`` and/or ``y`` are a list of `datetime` or an array of
+`numpy.datetime64`, Matplotlib has a built-in converter that will convert the
+datetime to a float, and add tick locators and formatters to the axis that are
+appropriate for dates.  See `matplotlib.dates`.
+
+In the following example, the x-axis gains a converter that converts from
+`numpy.datetime64` to float, and a locator that put ticks at the beginning of
+the month, and a formatter that label the ticks appropriately:
+"""
+
+import numpy as np
+
+import matplotlib.dates as mdates
+import matplotlib.units as munits
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(5.4, 2), layout='constrained')
+time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+x = np.arange(len(time))
+ax.plot(time, x)
+
+# %%
+#
+# Note that if we try to plot a float on the x-axis, it will be plotted in
+# units of days since the "epoch" for the converter, in this case 1970-01-01
+# (see :ref:`date-format`).  So when we plot the value 0, the ticks start at
+# 1970-01-01.  (The locator also now chooses every two years for a tick instead
+# of every month):
+
+fig, ax = plt.subplots(figsize=(5.4, 2), layout='constrained')
+time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+x = np.arange(len(time))
+ax.plot(time, x)
+# 0 gets labeled as 1970-01-01
+ax.plot(0, 0, 'd')
+ax.text(0, 0, ' Float x=0', rotation=45)
+
+# %%
+#
+# We can customize the locator and the formatter; see :ref:`date-locators` and
+# :ref:`date-formatters` for a complete list, and
+# :ref:`date_formatters_locators` for examples of them in use.  Here we locate
+# by every second month, and format just with the month's 3-letter name using
+# ``"%b"`` (see `~datetime.datetime.strftime` for format codes):
+
+fig, ax = plt.subplots(figsize=(5.4, 2), layout='constrained')
+time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+x = np.arange(len(time))
+ax.plot(time, x)
+ax.xaxis.set_major_locator(mdates.MonthLocator(bymonth=np.arange(1, 13, 2)))
+ax.xaxis.set_major_formatter(mdates.DateFormatter('%b'))
+ax.set_xlabel('1980')
+
+# %%
+#
+# The default locator is the `~.dates.AutoDateLocator`, and the default
+# Formatter `~.dates.AutoDateFormatter`.  There are also  "concise" formatter
+# and locators that give a more compact labelling, and can be set via rcParams.
+# Note how instead of the redundant "Jan" label at the start of the year,
+# "1980" is used instead.  See :ref:`date_concise_formatter` for more examples.
+
+plt.rcParams['date.converter'] = 'concise'
+
+fig, ax = plt.subplots(figsize=(5.4, 2), layout='constrained')
+time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+x = np.arange(len(time))
+ax.plot(time, x)
+
+# %%
+#
+# We can set the limits on the axis either by passing the appropriate dates as
+# limits, or by passing a floating-point value in the proper units of days
+# since the epoch.  If we need it, we can get this value from
+# `~.dates.date2num`.
+
+fig, axs = plt.subplots(2, 1, figsize=(5.4, 3), layout='constrained')
+for ax in axs.flat:
+    time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+    x = np.arange(len(time))
+    ax.plot(time, x)
+
+# set xlim using datetime64:
+axs[0].set_xlim(np.datetime64('1980-02-01'), np.datetime64('1980-04-01'))
+
+# set xlim using floats:
+# Note can get from mdates.date2num(np.datetime64('1980-02-01'))
+axs[1].set_xlim(3683, 3683+60)
+
+# %%
+#
+# String conversion: categorical plots
+# ====================================
+#
+# Sometimes we want to label categories on an axis rather than numbers.
+# Matplotlib allows this using a "categorical" converter (see
+# `~.matplotlib.category`).
+
+data = {'apple': 10, 'orange': 15, 'lemon': 5, 'lime': 20}
+names = list(data.keys())
+values = list(data.values())
+
+fig, axs = plt.subplots(1, 3, figsize=(7, 3), sharey=True, layout='constrained')
+axs[0].bar(names, values)
+axs[1].scatter(names, values)
+axs[2].plot(names, values)
+fig.suptitle('Categorical Plotting')
+
+# %%
+#
+# Note that the "categories" are plotted in the order that they are first
+# specified and that subsequent plotting in a different order will not affect
+# the original order.  Further, new additions will be added on the end (see
+# "pear" below):
+
+fig, ax = plt.subplots(figsize=(5, 3), layout='constrained')
+ax.bar(names, values)
+
+# plot in a different order:
+ax.scatter(['lemon', 'apple'], [7, 12])
+
+# add a new category, "pear", and put the other categories in a different order:
+ax.plot(['pear', 'orange', 'apple', 'lemon'], [13, 10, 7, 12], color='C1')
+
+
+# %%
+#
+# Note that when using ``plot`` like in the above, the order of the plotting is
+# mapped onto the original order of the data, so the new line goes in the order
+# specified.
+#
+# The category converter maps from categories to integers, starting at zero. So
+# data can also be manually added to the axis using a float.  Note that if a
+# float is passed in that does not have a "category" associated with it, the
+# data point can still be plotted, but a tick will not be created.  In the
+# following, we plot data at 4.0 and 2.5, but no tick is added there because
+# those are not categories.
+
+fig, ax = plt.subplots(figsize=(5, 3), layout='constrained')
+ax.bar(names, values)
+# arguments for styling the labels below:
+args = {'rotation': 70, 'color': 'C1',
+        'bbox': {'color': 'white', 'alpha': .7, 'boxstyle': 'round'}}
+
+
+# 0 gets labeled as "apple"
+ax.plot(0, 2, 'd', color='C1')
+ax.text(0, 3, 'Float x=0', **args)
+
+# 2 gets labeled as "lemon"
+ax.plot(2, 2, 'd', color='C1')
+ax.text(2, 3, 'Float x=2', **args)
+
+# 4 doesn't get a label
+ax.plot(4, 2, 'd', color='C1')
+ax.text(4, 3, 'Float x=4', **args)
+
+# 2.5 doesn't get a label
+ax.plot(2.5, 2, 'd', color='C1')
+ax.text(2.5, 3, 'Float x=2.5', **args)
+
+# %%
+#
+# Setting the limits for a category axis can be done by specifying the
+# categories, or by specifying floating point numbers:
+
+fig, axs = plt.subplots(2, 1, figsize=(5, 5), layout='constrained')
+ax = axs[0]
+ax.bar(names, values)
+ax.set_xlim('orange', 'lemon')
+ax.set_xlabel('limits set with categories')
+ax = axs[1]
+ax.bar(names, values)
+ax.set_xlim(0.5, 2.5)
+ax.set_xlabel('limits set with floats')
+
+# %%
+#
+# The category axes are helpful for some plot types, but can lead to confusion
+# if data is read in as a list of strings, even if it is meant to be a list of
+# floats or dates.  This sometimes happens when reading comma-separated value
+# (CSV) files. The categorical locator and formatter will put a tick at every
+# string value and label each one as well:
+
+fig, ax = plt.subplots(figsize=(5.4, 2.5), layout='constrained')
+x = [str(xx) for xx in np.arange(100)]  # list of strings
+ax.plot(x, np.arange(100))
+ax.set_xlabel('x is list of strings')
+
+# %%
+#
+# If this is not desired, then simply convert the data to floats before plotting:
+
+fig, ax = plt.subplots(figsize=(5.4, 2.5), layout='constrained')
+x = np.asarray(x, dtype='float')  # array of float.
+ax.plot(x, np.arange(100))
+ax.set_xlabel('x is array of floats')
+
+# %%
+#
+# Determine converter, formatter, and locator on an axis
+# ======================================================
+#
+# Sometimes it is helpful to be able to debug what Matplotlib is using to
+# convert the incoming data.  We can do that by querying the ``converter``
+# property on the axis.  We can also query the formatters and locators using
+# `~.axis.Axis.get_major_locator` and `~.axis.Axis.get_major_formatter`.
+#
+# Note that by default the converter is *None*.
+
+fig, axs = plt.subplots(3, 1, figsize=(6.4, 7), layout='constrained')
+x = np.arange(100)
+ax = axs[0]
+ax.plot(x, x)
+label = f'Converter: {ax.xaxis.get_converter()}\n '
+label += f'Locator: {ax.xaxis.get_major_locator()}\n'
+label += f'Formatter: {ax.xaxis.get_major_formatter()}\n'
+ax.set_xlabel(label)
+
+ax = axs[1]
+time = np.arange('1980-01-01', '1980-06-25', dtype='datetime64[D]')
+x = np.arange(len(time))
+ax.plot(time, x)
+label = f'Converter: {ax.xaxis.get_converter()}\n '
+label += f'Locator: {ax.xaxis.get_major_locator()}\n'
+label += f'Formatter: {ax.xaxis.get_major_formatter()}\n'
+ax.set_xlabel(label)
+
+ax = axs[2]
+data = {'apple': 10, 'orange': 15, 'lemon': 5, 'lime': 20}
+names = list(data.keys())
+values = list(data.values())
+ax.plot(names, values)
+label = f'Converter: {ax.xaxis.get_converter()}\n '
+label += f'Locator: {ax.xaxis.get_major_locator()}\n'
+label += f'Formatter: {ax.xaxis.get_major_formatter()}\n'
+ax.set_xlabel(label)
+
+# %%
+#
+# More about "unit" support
+# =========================
+#
+# The support for dates and categories is part of "units" support that is built
+# into Matplotlib.  This is described at `.matplotlib.units` and in the
+# :ref:`basic_units` example.
+#
+# Unit support works by querying the type of data passed to the plotting
+# function and dispatching to the first converter in a list that accepts that
+# type of data.  So below, if ``x`` has ``datetime`` objects in it, the
+# converter will be ``_SwitchableDateConverter``; if it has has strings in it,
+# it will be sent to the ``StrCategoryConverter``.
+
+for k, v in munits.registry.items():
+    print(f"type: {k};\n    converter: {type(v)}")
+
+# %%
+#
+# There are a number of downstream libraries that provide their own converters
+# with locators and formatters.  Physical unit support is provided by
+# `astropy <https://www.astropy.org>`_, `pint <https://pint.readthedocs.io>`_, and
+# `unyt <https://unyt.readthedocs.io>`_, among others.
+#
+# High level libraries like `pandas <https://pandas.pydata.org>`_ and
+# `nc-time-axis <https://nc-time-axis.readthedocs.io>`_ (and thus
+# `xarray <https://docs.xarray.dev>`_) provide their own datetime support.
+# This support can sometimes be incompatible with Matplotlib native datetime
+# support, so care should be taken when using Matplotlib locators and
+# formatters if these libraries are being used.
diff --git a/galleries/users_explain/axes/colorbar_placement.py b/galleries/users_explain/axes/colorbar_placement.py
new file mode 100644
index 000000000000..dd03bdb9f354
--- /dev/null
+++ b/galleries/users_explain/axes/colorbar_placement.py
@@ -0,0 +1,194 @@
+"""
+.. _colorbar_placement:
+
+.. redirect-from:: /gallery/subplots_axes_and_figures/colorbar_placement
+
+=================
+Placing colorbars
+=================
+
+Colorbars indicate the quantitative extent of image data.  Placing in
+a figure is non-trivial because room needs to be made for them.
+
+Automatic placement of colorbars
+================================
+
+The simplest case is just attaching a colorbar to each Axes.  Note in this
+example that the colorbars steal some space from the parent Axes.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, axs = plt.subplots(2, 2)
+cmaps = ['RdBu_r', 'viridis']
+for col in range(2):
+    for row in range(2):
+        ax = axs[row, col]
+        pcm = ax.pcolormesh(np.random.random((20, 20)) * (col + 1),
+                            cmap=cmaps[col])
+        fig.colorbar(pcm, ax=ax)
+
+# %%
+# The first column has the same type of data in both rows, so it may be
+# desirable to have just one colorbar. We do this by passing `.Figure.colorbar`
+# a list of Axes with the *ax* kwarg.
+
+fig, axs = plt.subplots(2, 2)
+cmaps = ['RdBu_r', 'viridis']
+for col in range(2):
+    for row in range(2):
+        ax = axs[row, col]
+        pcm = ax.pcolormesh(np.random.random((20, 20)) * (col + 1),
+                            cmap=cmaps[col])
+    fig.colorbar(pcm, ax=axs[:, col], shrink=0.6)
+
+# %%
+# The stolen space can lead to Axes in the same subplot layout
+# being different sizes, which is often undesired if the the
+# x-axis on each plot is meant to be comparable as in the following:
+
+fig, axs = plt.subplots(2, 1, figsize=(4, 5), sharex=True)
+X = np.random.randn(20, 20)
+axs[0].plot(np.sum(X, axis=0))
+pcm = axs[1].pcolormesh(X)
+fig.colorbar(pcm, ax=axs[1], shrink=0.6)
+
+# %%
+# This is usually undesired, and can be worked around in various ways, e.g.
+# adding a colorbar to the other Axes and then removing it.  However, the most
+# straightforward is to use :ref:`constrained layout <constrainedlayout_guide>`:
+
+fig, axs = plt.subplots(2, 1, figsize=(4, 5), sharex=True, layout='constrained')
+axs[0].plot(np.sum(X, axis=0))
+pcm = axs[1].pcolormesh(X)
+fig.colorbar(pcm, ax=axs[1], shrink=0.6)
+
+# %%
+# Relatively complicated colorbar layouts are possible using this
+# paradigm.  Note that this example works far better with
+# ``layout='constrained'``
+
+fig, axs = plt.subplots(3, 3, layout='constrained')
+for ax in axs.flat:
+    pcm = ax.pcolormesh(np.random.random((20, 20)))
+
+fig.colorbar(pcm, ax=axs[0, :2], shrink=0.6, location='bottom')
+fig.colorbar(pcm, ax=[axs[0, 2]], location='bottom')
+fig.colorbar(pcm, ax=axs[1:, :], location='right', shrink=0.6)
+fig.colorbar(pcm, ax=[axs[2, 1]], location='left')
+
+# %%
+# Adjusting the spacing between colorbars and parent Axes
+# =======================================================
+#
+# The distance a colorbar is from the parent Axes can be adjusted with the
+# *pad* keyword argument.  This is in units of fraction of the parent Axes
+# width, and the default for a vertical Axes is 0.05 (or 0.15 for a horizontal
+# Axes).
+
+fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(5, 5))
+for ax, pad in zip(axs, [0.025, 0.05, 0.1]):
+    pcm = ax.pcolormesh(np.random.randn(20, 20), cmap='viridis')
+    fig.colorbar(pcm, ax=ax, pad=pad, label=f'pad: {pad}')
+fig.suptitle("layout='constrained'")
+
+# %%
+# Note that if you do not use constrained layout, the pad command makes the
+# parent Axes shrink:
+
+fig, axs = plt.subplots(3, 1, figsize=(5, 5))
+for ax, pad in zip(axs, [0.025, 0.05, 0.1]):
+    pcm = ax.pcolormesh(np.random.randn(20, 20), cmap='viridis')
+    fig.colorbar(pcm, ax=ax, pad=pad, label=f'pad: {pad}')
+fig.suptitle("No layout manager")
+
+# %%
+# Manual placement of colorbars
+# =============================
+#
+# Sometimes the automatic placement provided by ``colorbar`` does not
+# give the desired effect.  We can manually create an Axes and tell
+# ``colorbar`` to use that Axes by passing the Axes to the *cax* keyword
+# argument.
+#
+# Using ``inset_axes``
+# --------------------
+#
+# We can manually create any type of Axes for the colorbar to use, but an
+# `.Axes.inset_axes` is useful because it is a child of the parent Axes and can
+# be positioned relative to the parent.  Here we add a colorbar centered near
+# the bottom of the parent Axes.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+pcm = ax.pcolormesh(np.random.randn(20, 20), cmap='viridis')
+ax.set_ylim([-4, 20])
+cax = ax.inset_axes([0.3, 0.07, 0.4, 0.04])
+fig.colorbar(pcm, cax=cax, orientation='horizontal')
+
+# %%
+# `.Axes.inset_axes` can also specify its position in data coordinates
+# using the *transform* keyword argument if you want your Axes at a
+# certain data position on the graph:
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+pcm = ax.pcolormesh(np.random.randn(20, 20), cmap='viridis')
+ax.set_ylim([-4, 20])
+cax = ax.inset_axes([7.5, -1.7, 5, 1.2], transform=ax.transData)
+fig.colorbar(pcm, cax=cax, orientation='horizontal')
+
+# %%
+# Colorbars attached to fixed-aspect-ratio Axes
+# ---------------------------------------------
+#
+# Axes with a fixed aspect ratio may shrink in height to preserve the aspect
+# ratio of the underlying data. This can result in the colorbar becoming taller
+# than the associated Axes, as demonstrated in the following example.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+fig.colorbar(pcm, ax=ax)
+
+# %%
+# To automatically adjust the colorbar size to match the parent Axes, we can
+# use ``layout='compressed'``. This ensures that as the figure is resized or
+# the fixed-aspect-ratio Axes is zoomed in or out, the colorbar dynamically
+# resizes to align with the parent Axes.
+
+fig, ax = plt.subplots(layout='compressed', figsize=(4, 4))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+ax.set_title("Colorbar with layout='compressed'", fontsize='medium')
+fig.colorbar(pcm, ax=ax)
+
+# %%
+# Alternatively, we can manually position the colorbar using `.Axes.inset_axes`
+# with axes-relative coordinates. This approach provides precise control over
+# the colorbar's placement. However, without a layout engine, the colorbar
+# might be clipped if it extends beyond the figure boundaries.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+cax = ax.inset_axes([1.04, 0.0, 0.05, 1.0])  # Positioning the colorbar
+ax.set_title('Colorbar with inset_axes', fontsize='medium')
+fig.colorbar(pcm, cax=cax)
+
+# %%
+# We can also do this manually using an `.Axes.inset_axes` using axes-relative
+# coordinates (see :ref:`transforms_tutorial`).  Note that if we do not use a
+# layout engine, the colorbar will be clipped off the right side of the figure.
+
+fig, ax = plt.subplots(layout='constrained', figsize=(4, 4))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+cax = ax.inset_axes([1.04, 0.0, 0.05, 1.0])
+ax.set_title('Colorbar with inset_axes', fontsize='medium')
+fig.colorbar(pcm, cax=cax)
+
+# %%
+# .. seealso::
+#
+#  :ref:`axes_grid` has methods for manually creating colorbar Axes as well:
+#
+#  - :ref:`demo-colorbar-with-inset-locator`
+#  - :ref:`demo-colorbar-with-axes-divider`
diff --git a/galleries/users_explain/axes/constrainedlayout_guide.py b/galleries/users_explain/axes/constrainedlayout_guide.py
new file mode 100644
index 000000000000..4eeaed980843
--- /dev/null
+++ b/galleries/users_explain/axes/constrainedlayout_guide.py
@@ -0,0 +1,761 @@
+"""
+
+.. redirect-from:: /tutorials/intermediate/constrainedlayout_guide
+
+.. _constrainedlayout_guide:
+
+========================
+Constrained layout guide
+========================
+
+Use *constrained layout* to fit plots within your figure cleanly.
+
+*Constrained layout* automatically adjusts subplots so that decorations like tick
+labels, legends, and colorbars do not overlap, while still preserving the
+logical layout requested by the user.
+
+*Constrained layout* is similar to :ref:`Tight
+layout<tight_layout_guide>`, but is substantially more
+flexible.  It handles colorbars placed on multiple Axes
+(:ref:`colorbar_placement`) nested layouts (`~.Figure.subfigures`) and Axes that
+span rows or columns (`~.pyplot.subplot_mosaic`), striving to align spines from
+Axes in the same row or column.  In addition, :ref:`Compressed layout
+<compressed_layout>` will try and move fixed aspect-ratio Axes closer together.
+These features are described in this document, as well as some
+:ref:`implementation details <cl_notes_on_algorithm>` discussed at the end.
+
+*Constrained layout* typically needs to be activated before any Axes are added to
+a figure. Two ways of doing so are
+
+* using the respective argument to `~.pyplot.subplots`,
+  `~.pyplot.figure`, `~.pyplot.subplot_mosaic` e.g.::
+
+      plt.subplots(layout="constrained")
+
+* activate it via :ref:`rcParams<customizing-with-dynamic-rc-settings>`, like::
+
+      plt.rcParams['figure.constrained_layout.use'] = True
+
+Those are described in detail throughout the following sections.
+
+.. warning::
+
+    Calling `~.pyplot.tight_layout` will turn off *constrained layout*!
+
+Simple example
+==============
+
+With the default Axes positioning, the axes title, axis labels, or tick labels
+can sometimes go outside the figure area, and thus get clipped.
+"""
+
+# sphinx_gallery_thumbnail_number = 18
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.colors as mcolors
+import matplotlib.gridspec as gridspec
+
+plt.rcParams['savefig.facecolor'] = "0.8"
+plt.rcParams['figure.figsize'] = 4.5, 4.
+plt.rcParams['figure.max_open_warning'] = 50
+
+
+def example_plot(ax, fontsize=12, hide_labels=False):
+    ax.plot([1, 2])
+
+    ax.locator_params(nbins=3)
+    if hide_labels:
+        ax.set_xticklabels([])
+        ax.set_yticklabels([])
+    else:
+        ax.set_xlabel('x-label', fontsize=fontsize)
+        ax.set_ylabel('y-label', fontsize=fontsize)
+        ax.set_title('Title', fontsize=fontsize)
+
+fig, ax = plt.subplots(layout=None)
+example_plot(ax, fontsize=24)
+
+# %%
+# To prevent this, the location of Axes needs to be adjusted. For
+# subplots, this can be done manually by adjusting the subplot parameters
+# using `.Figure.subplots_adjust`. However, specifying your figure with the
+# ``layout="constrained"`` keyword argument will do the adjusting
+# automatically.
+
+fig, ax = plt.subplots(layout="constrained")
+example_plot(ax, fontsize=24)
+
+# %%
+# When you have multiple subplots, often you see labels of different
+# Axes overlapping each other.
+
+fig, axs = plt.subplots(2, 2, layout=None)
+for ax in axs.flat:
+    example_plot(ax)
+
+# %%
+# Specifying ``layout="constrained"`` in the call to ``plt.subplots``
+# causes the layout to be properly constrained.
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+for ax in axs.flat:
+    example_plot(ax)
+
+# %%
+#
+# Colorbars
+# =========
+#
+# If you create a colorbar with `.Figure.colorbar`, you need to make room for
+# it.  *Constrained layout* does this automatically.  Note that if you
+# specify ``use_gridspec=True`` it will be ignored because this option is made
+# for improving the layout via ``tight_layout``.
+#
+# .. note::
+#
+#   For the `~.axes.Axes.pcolormesh` keyword arguments (``pc_kwargs``) we use a
+#   dictionary to keep the calls consistent across this document.
+
+arr = np.arange(100).reshape((10, 10))
+norm = mcolors.Normalize(vmin=0., vmax=100.)
+# see note above: this makes all pcolormesh calls consistent:
+pc_kwargs = {'rasterized': True, 'cmap': 'viridis', 'norm': norm}
+fig, ax = plt.subplots(figsize=(4, 4), layout="constrained")
+im = ax.pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=ax, shrink=0.6)
+
+# %%
+# If you specify a list of Axes (or other iterable container) to the
+# ``ax`` argument of ``colorbar``, *constrained layout* will take space from
+# the specified Axes.
+
+fig, axs = plt.subplots(2, 2, figsize=(4, 4), layout="constrained")
+for ax in axs.flat:
+    im = ax.pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=axs, shrink=0.6)
+
+# %%
+# If you specify a list of Axes from inside a grid of Axes, the colorbar
+# will steal space appropriately, and leave a gap, but all subplots will
+# still be the same size.
+
+fig, axs = plt.subplots(3, 3, figsize=(4, 4), layout="constrained")
+for ax in axs.flat:
+    im = ax.pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=axs[1:, 1], shrink=0.8)
+fig.colorbar(im, ax=axs[:, -1], shrink=0.6)
+
+# %%
+# Suptitle
+# =========
+#
+# *Constrained layout* can also make room for `~.Figure.suptitle`.
+
+fig, axs = plt.subplots(2, 2, figsize=(4, 4), layout="constrained")
+for ax in axs.flat:
+    im = ax.pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=axs, shrink=0.6)
+fig.suptitle('Big Suptitle')
+
+# %%
+# Legends
+# =======
+#
+# Legends can be placed outside of their parent axis.
+# *Constrained layout* is designed to handle this for :meth:`.Axes.legend`.
+# However, *constrained layout* does *not* handle legends being created via
+# :meth:`.Figure.legend` (yet).
+
+fig, ax = plt.subplots(layout="constrained")
+ax.plot(np.arange(10), label='This is a plot')
+ax.legend(loc='center left', bbox_to_anchor=(0.8, 0.5))
+
+# %%
+# However, this will steal space from a subplot layout:
+
+fig, axs = plt.subplots(1, 2, figsize=(4, 2), layout="constrained")
+axs[0].plot(np.arange(10))
+axs[1].plot(np.arange(10), label='This is a plot')
+axs[1].legend(loc='center left', bbox_to_anchor=(0.8, 0.5))
+
+# %%
+# In order for a legend or other artist to *not* steal space
+# from the subplot layout, we can ``leg.set_in_layout(False)``.
+# Of course this can mean the legend ends up
+# cropped, but can be useful if the plot is subsequently called
+# with ``fig.savefig('outname.png', bbox_inches='tight')``.  Note,
+# however, that the legend's ``get_in_layout`` status will have to be
+# toggled again to make the saved file work, and we must manually
+# trigger a draw if we want *constrained layout* to adjust the size
+# of the Axes before printing.
+
+fig, axs = plt.subplots(1, 2, figsize=(4, 2), layout="constrained")
+
+axs[0].plot(np.arange(10))
+axs[1].plot(np.arange(10), label='This is a plot')
+leg = axs[1].legend(loc='center left', bbox_to_anchor=(0.8, 0.5))
+leg.set_in_layout(False)
+# trigger a draw so that constrained layout is executed once
+# before we turn it off when printing....
+fig.canvas.draw()
+# we want the legend included in the bbox_inches='tight' calcs.
+leg.set_in_layout(True)
+# we don't want the layout to change at this point.
+fig.set_layout_engine('none')
+try:
+    fig.savefig('../../../doc/_static/constrained_layout_1b.png',
+                bbox_inches='tight', dpi=100)
+except FileNotFoundError:
+    # this allows the script to keep going if run interactively and
+    # the directory above doesn't exist
+    pass
+
+# %%
+# The saved file looks like:
+#
+# .. image:: /_static/constrained_layout_1b.png
+#    :align: center
+#
+# A better way to get around this awkwardness is to simply
+# use the legend method provided by `.Figure.legend`:
+fig, axs = plt.subplots(1, 2, figsize=(4, 2), layout="constrained")
+axs[0].plot(np.arange(10))
+lines = axs[1].plot(np.arange(10), label='This is a plot')
+labels = [l.get_label() for l in lines]
+leg = fig.legend(lines, labels, loc='center left',
+                 bbox_to_anchor=(0.8, 0.5), bbox_transform=axs[1].transAxes)
+try:
+    fig.savefig('../../../doc/_static/constrained_layout_2b.png',
+                bbox_inches='tight', dpi=100)
+except FileNotFoundError:
+    # this allows the script to keep going if run interactively and
+    # the directory above doesn't exist
+    pass
+
+
+# %%
+# The saved file looks like:
+#
+# .. image:: /_static/constrained_layout_2b.png
+#    :align: center
+#
+
+# %%
+# Padding and spacing
+# ===================
+#
+# Padding between Axes is controlled in the horizontal by *w_pad* and
+# *wspace*, and vertical by *h_pad* and *hspace*.  These can be edited
+# via `~.layout_engine.ConstrainedLayoutEngine.set`.  *w/h_pad* are
+# the minimum space around the Axes in units of inches:
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+for ax in axs.flat:
+    example_plot(ax, hide_labels=True)
+fig.get_layout_engine().set(w_pad=4 / 72, h_pad=4 / 72, hspace=0,
+                            wspace=0)
+
+# %%
+# Spacing between subplots is further set by *wspace* and *hspace*. These
+# are specified as a fraction of the size of the subplot group as a whole.
+# If these values are smaller than *w_pad* or *h_pad*, then the fixed pads are
+# used instead. Note in the below how the space at the edges doesn't change
+# from the above, but the space between subplots does.
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+for ax in axs.flat:
+    example_plot(ax, hide_labels=True)
+fig.get_layout_engine().set(w_pad=4 / 72, h_pad=4 / 72, hspace=0.2,
+                            wspace=0.2)
+
+# %%
+# If there are more than two columns, the *wspace* is shared between them,
+# so here the wspace is divided in two, with a *wspace* of 0.1 between each
+# column:
+
+fig, axs = plt.subplots(2, 3, layout="constrained")
+for ax in axs.flat:
+    example_plot(ax, hide_labels=True)
+fig.get_layout_engine().set(w_pad=4 / 72, h_pad=4 / 72, hspace=0.2,
+                            wspace=0.2)
+
+# %%
+# GridSpecs also have optional *hspace* and *wspace* keyword arguments,
+# that will be used instead of the pads set by *constrained layout*:
+
+fig, axs = plt.subplots(2, 2, layout="constrained",
+                        gridspec_kw={'wspace': 0.3, 'hspace': 0.2})
+for ax in axs.flat:
+    example_plot(ax, hide_labels=True)
+# this has no effect because the space set in the gridspec trumps the
+# space set in *constrained layout*.
+fig.get_layout_engine().set(w_pad=4 / 72, h_pad=4 / 72, hspace=0.0,
+                            wspace=0.0)
+
+# %%
+# Spacing with colorbars
+# -----------------------
+#
+# Colorbars are placed a distance *pad* from their parent, where *pad*
+# is a fraction of the width of the parent(s).  The spacing to the
+# next subplot is then given by *w/hspace*.
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+pads = [0, 0.05, 0.1, 0.2]
+for pad, ax in zip(pads, axs.flat):
+    pc = ax.pcolormesh(arr, **pc_kwargs)
+    fig.colorbar(pc, ax=ax, shrink=0.6, pad=pad)
+    ax.set_xticklabels([])
+    ax.set_yticklabels([])
+    ax.set_title(f'pad: {pad}')
+fig.get_layout_engine().set(w_pad=2 / 72, h_pad=2 / 72, hspace=0.2,
+                            wspace=0.2)
+
+# %%
+# rcParams
+# ========
+#
+# There are five :ref:`rcParams<customizing-with-dynamic-rc-settings>`
+# that can be set, either in a script or in the :file:`matplotlibrc`
+# file. They all have the prefix ``figure.constrained_layout``:
+#
+# - *use*: Whether to use *constrained layout*. Default is False
+# - *w_pad*, *h_pad*:    Padding around Axes objects.
+#   Float representing inches.  Default is 3./72. inches (3 pts)
+# - *wspace*, *hspace*:  Space between subplot groups.
+#   Float representing a fraction of the subplot widths being separated.
+#   Default is 0.02.
+
+plt.rcParams['figure.constrained_layout.use'] = True
+fig, axs = plt.subplots(2, 2, figsize=(3, 3))
+for ax in axs.flat:
+    example_plot(ax)
+
+# %%
+# Use with GridSpec
+# =================
+#
+# *Constrained layout* is meant to be used
+# with :func:`~matplotlib.figure.Figure.subplots`,
+# :func:`~matplotlib.figure.Figure.subplot_mosaic`, or
+# :func:`~matplotlib.gridspec.GridSpec` with
+# :func:`~matplotlib.figure.Figure.add_subplot`.
+#
+# Note that in what follows ``layout="constrained"``
+
+plt.rcParams['figure.constrained_layout.use'] = False
+fig = plt.figure(layout="constrained")
+
+gs1 = gridspec.GridSpec(2, 1, figure=fig)
+ax1 = fig.add_subplot(gs1[0])
+ax2 = fig.add_subplot(gs1[1])
+
+example_plot(ax1)
+example_plot(ax2)
+
+# %%
+# More complicated gridspec layouts are possible.  Note here we use the
+# convenience functions `~.Figure.add_gridspec` and
+# `~.SubplotSpec.subgridspec`.
+
+fig = plt.figure(layout="constrained")
+
+gs0 = fig.add_gridspec(1, 2)
+
+gs1 = gs0[0].subgridspec(2, 1)
+ax1 = fig.add_subplot(gs1[0])
+ax2 = fig.add_subplot(gs1[1])
+
+example_plot(ax1)
+example_plot(ax2)
+
+gs2 = gs0[1].subgridspec(3, 1)
+
+for ss in gs2:
+    ax = fig.add_subplot(ss)
+    example_plot(ax)
+    ax.set_title("")
+    ax.set_xlabel("")
+
+ax.set_xlabel("x-label", fontsize=12)
+
+# %%
+# Note that in the above the left and right columns don't have the same
+# vertical extent.  If we want the top and bottom of the two grids to line up
+# then they need to be in the same gridspec.  We need to make this figure
+# larger as well in order for the Axes not to collapse to zero height:
+
+fig = plt.figure(figsize=(4, 6), layout="constrained")
+
+gs0 = fig.add_gridspec(6, 2)
+
+ax1 = fig.add_subplot(gs0[:3, 0])
+ax2 = fig.add_subplot(gs0[3:, 0])
+
+example_plot(ax1)
+example_plot(ax2)
+
+ax = fig.add_subplot(gs0[0:2, 1])
+example_plot(ax, hide_labels=True)
+ax = fig.add_subplot(gs0[2:4, 1])
+example_plot(ax, hide_labels=True)
+ax = fig.add_subplot(gs0[4:, 1])
+example_plot(ax, hide_labels=True)
+fig.suptitle('Overlapping Gridspecs')
+
+# %%
+# This example uses two gridspecs to have the colorbar only pertain to
+# one set of pcolors.  Note how the left column is wider than the
+# two right-hand columns because of this.  Of course, if you wanted the
+# subplots to be the same size you only needed one gridspec.  Note that
+# the same effect can be achieved using `~.Figure.subfigures`.
+
+fig = plt.figure(layout="constrained")
+gs0 = fig.add_gridspec(1, 2, figure=fig, width_ratios=[1, 2])
+gs_left = gs0[0].subgridspec(2, 1)
+gs_right = gs0[1].subgridspec(2, 2)
+
+for gs in gs_left:
+    ax = fig.add_subplot(gs)
+    example_plot(ax)
+axs = []
+for gs in gs_right:
+    ax = fig.add_subplot(gs)
+    pcm = ax.pcolormesh(arr, **pc_kwargs)
+    ax.set_xlabel('x-label')
+    ax.set_ylabel('y-label')
+    ax.set_title('title')
+    axs += [ax]
+fig.suptitle('Nested plots using subgridspec')
+fig.colorbar(pcm, ax=axs)
+
+# %%
+# Rather than using subgridspecs, Matplotlib now provides `~.Figure.subfigures`
+# which also work with *constrained layout*:
+
+fig = plt.figure(layout="constrained")
+sfigs = fig.subfigures(1, 2, width_ratios=[1, 2])
+
+axs_left = sfigs[0].subplots(2, 1)
+for ax in axs_left.flat:
+    example_plot(ax)
+
+axs_right = sfigs[1].subplots(2, 2)
+for ax in axs_right.flat:
+    pcm = ax.pcolormesh(arr, **pc_kwargs)
+    ax.set_xlabel('x-label')
+    ax.set_ylabel('y-label')
+    ax.set_title('title')
+fig.colorbar(pcm, ax=axs_right)
+fig.suptitle('Nested plots using subfigures')
+
+# %%
+# Manually setting Axes positions
+# ================================
+#
+# There can be good reasons to manually set an Axes position.  A manual call
+# to `~.axes.Axes.set_position` will set the Axes so *constrained layout* has
+# no effect on it anymore. (Note that *constrained layout* still leaves the
+# space for the Axes that is moved).
+
+fig, axs = plt.subplots(1, 2, layout="constrained")
+example_plot(axs[0], fontsize=12)
+axs[1].set_position([0.2, 0.2, 0.4, 0.4])
+
+# %%
+# .. _compressed_layout:
+#
+# Grids of fixed aspect-ratio Axes: "compressed" layout
+# =====================================================
+#
+# *Constrained layout* operates on the grid of "original" positions for
+# Axes. However, when Axes have fixed aspect ratios, one side is usually made
+# shorter, and leaves large gaps in the shortened direction. In the following,
+# the Axes are square, but the figure quite wide so there is a horizontal gap:
+
+fig, axs = plt.subplots(2, 2, figsize=(5, 3),
+                        sharex=True, sharey=True, layout="constrained")
+for ax in axs.flat:
+    ax.imshow(arr)
+fig.suptitle("fixed-aspect plots, layout='constrained'")
+
+# %%
+# One obvious way of fixing this is to make the figure size more square,
+# however, closing the gaps exactly requires trial and error.  For simple grids
+# of Axes we can use ``layout="compressed"`` to do the job for us:
+
+fig, axs = plt.subplots(2, 2, figsize=(5, 3),
+                        sharex=True, sharey=True, layout='compressed')
+for ax in axs.flat:
+    ax.imshow(arr)
+fig.suptitle("fixed-aspect plots, layout='compressed'")
+
+# %%
+# Compressed layout will also attempt to size colorbars to match the size of the
+# fixed-aspect-ratio parent Axes as the figure is resized or the aspect ratio changes.
+# In the following figure, the colorbar is taller than its parent Axes:
+
+fig, ax = plt.subplots(layout='constrained', figsize=(3, 3))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+ax.set_title("Colorbar with layout='constrained'", fontsize='medium')
+fig.colorbar(pcm, ax=ax)
+
+# %%
+# Compressed layout ensures that the height of the colorbar matches the height
+# of its parent Axes, maintaining a consistent appearance:
+
+fig, ax = plt.subplots(layout='compressed', figsize=(3, 3))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+ax.set_title("Colorbar with layout='compressed'", fontsize='medium')
+fig.colorbar(pcm, ax=ax)
+
+# %%
+# If the Axes is zoomed in or out, or the figure is resized, the colorbar will
+# dynamically resize to match the parent Axes. Whether this behavior is desired
+# depends on the specific application:
+
+fig, ax = plt.subplots(layout='compressed', figsize=(3, 3))
+pcm = ax.imshow(np.random.randn(10, 10), cmap='viridis')
+ax.set_ylim([4, 8])
+ax.set_title("Layout='compressed' with zoom", fontsize='medium')
+fig.colorbar(pcm, ax=ax)
+
+# %%
+# Manually turning off *constrained layout*
+# ===========================================
+#
+# *Constrained layout* usually adjusts the Axes positions on each draw
+# of the figure.  If you want to get the spacing provided by
+# *constrained layout* but not have it update, then do the initial
+# draw and then call ``fig.set_layout_engine('none')``.
+# This is potentially useful for animations where the tick labels may
+# change length.
+#
+# Note that *constrained layout* is turned off for ``ZOOM`` and ``PAN``
+# GUI events for the backends that use the toolbar.  This prevents the
+# Axes from changing position during zooming and panning.
+#
+#
+# Limitations
+# ===========
+#
+# Incompatible functions
+# ----------------------
+#
+# *Constrained layout* will work with `.pyplot.subplot`, but only if the
+# number of rows and columns is the same for each call.
+# The reason is that each call to `.pyplot.subplot` will create a new
+# `.GridSpec` instance if the geometry is not the same, and
+# *constrained layout*.  So the following works fine:
+
+fig = plt.figure(layout="constrained")
+
+ax1 = plt.subplot(2, 2, 1)
+ax2 = plt.subplot(2, 2, 3)
+# third Axes that spans both rows in second column:
+ax3 = plt.subplot(2, 2, (2, 4))
+
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+plt.suptitle('Homogeneous nrows, ncols')
+
+# %%
+# but the following leads to a poor layout:
+
+fig = plt.figure(layout="constrained")
+
+ax1 = plt.subplot(2, 2, 1)
+ax2 = plt.subplot(2, 2, 3)
+ax3 = plt.subplot(1, 2, 2)
+
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+plt.suptitle('Mixed nrows, ncols')
+
+# %%
+# Similarly,
+# `~matplotlib.pyplot.subplot2grid` works with the same limitation
+# that nrows and ncols cannot change for the layout to look good.
+
+fig = plt.figure(layout="constrained")
+
+ax1 = plt.subplot2grid((3, 3), (0, 0))
+ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
+ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
+ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
+
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+fig.suptitle('subplot2grid')
+
+# %%
+# Other caveats
+# -------------
+#
+# * *Constrained layout* only considers ticklabels, axis labels, titles, and
+#   legends.  Thus, other artists may be clipped and also may overlap.
+#
+# * It assumes that the extra space needed for ticklabels, axis labels,
+#   and titles is independent of original location of Axes. This is
+#   often true, but there are rare cases where it is not.
+#
+# * There are small differences in how the backends handle rendering fonts,
+#   so the results will not be pixel-identical.
+#
+# * An artist using Axes coordinates that extend beyond the Axes
+#   boundary will result in unusual layouts when added to an
+#   Axes. This can be avoided by adding the artist directly to the
+#   :class:`~matplotlib.figure.Figure` using
+#   :meth:`~matplotlib.figure.Figure.add_artist`. See
+#   :class:`~matplotlib.patches.ConnectionPatch` for an example.
+
+# %%
+# Debugging
+# =========
+#
+# *Constrained layout* can fail in somewhat unexpected ways.  Because it uses
+# a constraint solver the solver can find solutions that are mathematically
+# correct, but that aren't at all what the user wants.  The usual failure
+# mode is for all sizes to collapse to their smallest allowable value. If
+# this happens, it is for one of two reasons:
+#
+# 1. There was not enough room for the elements you were requesting to draw.
+# 2. There is a bug - in which case open an issue at
+#    https://github.com/matplotlib/matplotlib/issues.
+#
+# If there is a bug, please report with a self-contained example that does
+# not require outside data or dependencies (other than numpy).
+
+# %%
+# .. _cl_notes_on_algorithm:
+#
+# Notes on the algorithm
+# ======================
+#
+# The algorithm for the constraint is relatively straightforward, but
+# has some complexity due to the complex ways we can lay out a figure.
+#
+# Layout in Matplotlib is carried out with gridspecs
+# via the `.GridSpec` class. A gridspec is a logical division of the figure
+# into rows and columns, with the relative width of the Axes in those
+# rows and columns set by *width_ratios* and *height_ratios*.
+#
+# In *constrained layout*, each gridspec gets a *layoutgrid* associated with
+# it.  The *layoutgrid* has a series of ``left`` and ``right`` variables
+# for each column, and ``bottom`` and ``top`` variables for each row, and
+# further it has a margin for each of left, right, bottom and top.  In each
+# row, the bottom/top margins are widened until all the decorators
+# in that row are accommodated.  Similarly, for columns and the left/right
+# margins.
+#
+#
+# Simple case: one Axes
+# ---------------------
+#
+# For a single Axes the layout is straight forward.  There is one parent
+# layoutgrid for the figure consisting of one column and row, and
+# a child layoutgrid for the gridspec that contains the Axes, again
+# consisting of one row and column. Space is made for the "decorations" on
+# each side of the Axes.  In the code, this is accomplished by the entries in
+# ``do_constrained_layout()`` like::
+#
+#     gridspec._layoutgrid[0, 0].edit_margin_min('left',
+#           -bbox.x0 + pos.x0 + w_pad)
+#
+# where ``bbox`` is the tight bounding box of the Axes, and ``pos`` its
+# position.  Note how the four margins encompass the Axes decorations.
+
+from matplotlib._layoutgrid import plot_children
+
+fig, ax = plt.subplots(layout="constrained")
+example_plot(ax, fontsize=24)
+plot_children(fig)
+
+# %%
+# Simple case: two Axes
+# ---------------------
+# When there are multiple Axes they have their layouts bound in
+# simple ways.  In this example the left Axes has much larger decorations
+# than the right, but they share a bottom margin, which is made large
+# enough to accommodate the larger xlabel.   Same with the shared top
+# margin.  The left and right margins are not shared, and hence are
+# allowed to be different.
+
+fig, ax = plt.subplots(1, 2, layout="constrained")
+example_plot(ax[0], fontsize=32)
+example_plot(ax[1], fontsize=8)
+plot_children(fig)
+
+# %%
+# Two Axes and colorbar
+# ---------------------
+#
+# A colorbar is simply another item that expands the margin of the parent
+# layoutgrid cell:
+
+fig, ax = plt.subplots(1, 2, layout="constrained")
+im = ax[0].pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=ax[0], shrink=0.6)
+im = ax[1].pcolormesh(arr, **pc_kwargs)
+plot_children(fig)
+
+# %%
+# Colorbar associated with a Gridspec
+# -----------------------------------
+#
+# If a colorbar belongs to more than one cell of the grid, then
+# it makes a larger margin for each:
+
+fig, axs = plt.subplots(2, 2, layout="constrained")
+for ax in axs.flat:
+    im = ax.pcolormesh(arr, **pc_kwargs)
+fig.colorbar(im, ax=axs, shrink=0.6)
+plot_children(fig)
+
+# %%
+# Uneven sized Axes
+# -----------------
+#
+# There are two ways to make Axes have an uneven size in a
+# Gridspec layout, either by specifying them to cross Gridspecs rows
+# or columns, or by specifying width and height ratios.
+#
+# The first method is used here.  Note that the middle ``top`` and
+# ``bottom`` margins are not affected by the left-hand column.  This
+# is a conscious decision of the algorithm, and leads to the case where
+# the two right-hand Axes have the same height, but it is not 1/2 the height
+# of the left-hand Axes.  This is consistent with how ``gridspec`` works
+# without *constrained layout*.
+
+fig = plt.figure(layout="constrained")
+gs = gridspec.GridSpec(2, 2, figure=fig)
+ax = fig.add_subplot(gs[:, 0])
+im = ax.pcolormesh(arr, **pc_kwargs)
+ax = fig.add_subplot(gs[0, 1])
+im = ax.pcolormesh(arr, **pc_kwargs)
+ax = fig.add_subplot(gs[1, 1])
+im = ax.pcolormesh(arr, **pc_kwargs)
+plot_children(fig)
+
+# %%
+# One case that requires finessing is if margins do not have any artists
+# constraining their width. In the case below, the right margin for column 0
+# and the left margin for column 3 have no margin artists to set their width,
+# so we take the maximum width of the margin widths that do have artists.
+# This makes all the Axes have the same size:
+
+fig = plt.figure(layout="constrained")
+gs = fig.add_gridspec(2, 4)
+ax00 = fig.add_subplot(gs[0, 0:2])
+ax01 = fig.add_subplot(gs[0, 2:])
+ax10 = fig.add_subplot(gs[1, 1:3])
+example_plot(ax10, fontsize=14)
+plot_children(fig)
+plt.show()
diff --git a/galleries/users_explain/axes/index.rst b/galleries/users_explain/axes/index.rst
new file mode 100644
index 000000000000..a3683d69ec5a
--- /dev/null
+++ b/galleries/users_explain/axes/index.rst
@@ -0,0 +1,54 @@
++++++++++++++++++
+Axes and subplots
++++++++++++++++++
+
+Matplotlib `~.axes.Axes` are the gateway to creating your data visualizations.
+Once an Axes is placed on a figure there are many methods that can be used to
+add data to the Axes. An Axes typically has a pair of `~.axis.Axis`
+Artists that define the data coordinate system, and include methods to add
+annotations like x- and y-labels, titles, and legends.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(3.5, 2.5),
+                            layout="constrained")
+    # for each Axes, add an artist, in this case a nice label in the middle...
+    for row in range(2):
+        for col in range(2):
+            axs[row, col].annotate(f'axs[{row}, {col}]', (0.5, 0.5),
+                                transform=axs[row, col].transAxes,
+                                ha='center', va='center', fontsize=18,
+                                color='darkgrey')
+    fig.suptitle('plt.subplots()')
+
+.. toctree::
+    :maxdepth: 2
+
+    axes_intro
+
+.. toctree::
+    :maxdepth: 1
+
+    arranging_axes
+    colorbar_placement
+    autoscale
+
+.. toctree::
+    :maxdepth: 2
+    :includehidden:
+
+    axes_scales
+    axes_ticks
+    axes_units
+    Legends <legend_guide>
+    Subplot mosaic <mosaic>
+
+.. toctree::
+    :maxdepth: 1
+    :includehidden:
+
+    Constrained layout guide <constrainedlayout_guide>
+    Tight layout guide (mildly discouraged) <tight_layout_guide>
diff --git a/galleries/users_explain/axes/legend_guide.py b/galleries/users_explain/axes/legend_guide.py
new file mode 100644
index 000000000000..5da3ceafe387
--- /dev/null
+++ b/galleries/users_explain/axes/legend_guide.py
@@ -0,0 +1,372 @@
+"""
+.. redirect-from:: /tutorials/intermediate/legend_guide
+.. redirect-from:: /galleries/examples/userdemo/simple_legend01
+.. redirect-from:: /galleries/examples/userdemo/simple_legend02
+
+.. _legend_guide:
+
+============
+Legend guide
+============
+
+.. currentmodule:: matplotlib.pyplot
+
+This legend guide extends the `~.Axes.legend` docstring -
+please read it before proceeding with this guide.
+
+This guide makes use of some common terms, which are documented here for
+clarity:
+
+.. glossary::
+
+    legend entry
+        A legend is made up of one or more legend entries. An entry is made up
+        of exactly one key and one label.
+
+    legend key
+        The colored/patterned marker to the left of each legend label.
+
+    legend label
+        The text which describes the handle represented by the key.
+
+    legend handle
+        The original object which is used to generate an appropriate entry in
+        the legend.
+
+
+Controlling the legend entries
+==============================
+
+Calling :func:`legend` with no arguments automatically fetches the legend
+handles and their associated labels. This functionality is equivalent to::
+
+    handles, labels = ax.get_legend_handles_labels()
+    ax.legend(handles, labels)
+
+The :meth:`~matplotlib.axes.Axes.get_legend_handles_labels` function returns
+a list of handles/artists which exist on the Axes which can be used to
+generate entries for the resulting legend - it is worth noting however that
+not all artists can be added to a legend, at which point a "proxy" will have
+to be created (see :ref:`proxy_legend_handles` for further details).
+
+.. note::
+    Artists with an empty string as label or with a label starting with an
+    underscore, "_", will be ignored.
+
+For full control of what is being added to the legend, it is common to pass
+the appropriate handles directly to :func:`legend`::
+
+    fig, ax = plt.subplots()
+    line_up, = ax.plot([1, 2, 3], label='Line 2')
+    line_down, = ax.plot([3, 2, 1], label='Line 1')
+    ax.legend(handles=[line_up, line_down])
+
+Renaming legend entries
+-----------------------
+
+When the labels cannot directly be set on the handles, they can be directly passed to
+`.Axes.legend`::
+
+    fig, ax = plt.subplots()
+    line_up, = ax.plot([1, 2, 3], label='Line 2')
+    line_down, = ax.plot([3, 2, 1], label='Line 1')
+    ax.legend([line_up, line_down], ['Line Up', 'Line Down'])
+
+
+If the handles are not directly accessible, for example when using some
+`Third-party packages <https://matplotlib.org/mpl-third-party/>`_, they can be accessed
+via `.Axes.get_legend_handles_labels`. Here we use a dictionary to rename existing
+labels::
+
+    my_map = {'Line Up':'Up', 'Line Down':'Down'}
+
+    handles, labels = ax.get_legend_handles_labels()
+    ax.legend(handles, [my_map[l] for l in labels])
+
+
+.. _proxy_legend_handles:
+
+Creating artists specifically for adding to the legend (aka. Proxy artists)
+===========================================================================
+
+Not all handles can be turned into legend entries automatically,
+so it is often necessary to create an artist which *can*. Legend handles
+don't have to exist on the Figure or Axes in order to be used.
+
+Suppose we wanted to create a legend which has an entry for some data which
+is represented by a red color:
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as mpatches
+
+fig, ax = plt.subplots()
+red_patch = mpatches.Patch(color='red', label='The red data')
+ax.legend(handles=[red_patch])
+
+plt.show()
+
+# %%
+# There are many supported legend handles. Instead of creating a patch of color
+# we could have created a line with a marker:
+
+import matplotlib.lines as mlines
+
+fig, ax = plt.subplots()
+blue_line = mlines.Line2D([], [], color='blue', marker='*',
+                          markersize=15, label='Blue stars')
+ax.legend(handles=[blue_line])
+
+plt.show()
+
+# %%
+# Legend location
+# ===============
+#
+# The location of the legend can be specified by the keyword argument
+# *loc*. Please see the documentation at :func:`legend` for more details.
+#
+# The ``bbox_to_anchor`` keyword gives a great degree of control for manual
+# legend placement. For example, if you want your Axes legend located at the
+# figure's top right-hand corner instead of the Axes' corner, simply specify
+# the corner's location and the coordinate system of that location::
+#
+#     ax.legend(bbox_to_anchor=(1, 1),
+#               bbox_transform=fig.transFigure)
+#
+# More examples of custom legend placement:
+
+fig, ax_dict = plt.subplot_mosaic([['top', 'top'], ['bottom', 'BLANK']],
+                                  empty_sentinel="BLANK")
+ax_dict['top'].plot([1, 2, 3], label="test1")
+ax_dict['top'].plot([3, 2, 1], label="test2")
+# Place a legend above this subplot, expanding itself to
+# fully use the given bounding box.
+ax_dict['top'].legend(bbox_to_anchor=(0., 1.02, 1., .102), loc='lower left',
+                      ncols=2, mode="expand", borderaxespad=0.)
+
+ax_dict['bottom'].plot([1, 2, 3], label="test1")
+ax_dict['bottom'].plot([3, 2, 1], label="test2")
+# Place a legend to the right of this smaller subplot.
+ax_dict['bottom'].legend(bbox_to_anchor=(1.05, 1),
+                         loc='upper left', borderaxespad=0.)
+
+# %%
+# Figure legends
+# --------------
+#
+# Sometimes it makes more sense to place a legend relative to the (sub)figure
+# rather than individual Axes.  By using *constrained layout* and
+# specifying "outside" at the beginning of the *loc* keyword argument,
+# the legend is drawn outside the Axes on the (sub)figure.
+
+fig, axs = plt.subplot_mosaic([['left', 'right']], layout='constrained')
+
+axs['left'].plot([1, 2, 3], label="test1")
+axs['left'].plot([3, 2, 1], label="test2")
+
+axs['right'].plot([1, 2, 3], 'C2', label="test3")
+axs['right'].plot([3, 2, 1], 'C3', label="test4")
+# Place a legend to the right of this smaller subplot.
+fig.legend(loc='outside upper right')
+
+# %%
+# This accepts a slightly different grammar than the normal *loc* keyword,
+# where "outside right upper" is different from "outside upper right".
+#
+ucl = ['upper', 'center', 'lower']
+lcr = ['left', 'center', 'right']
+fig, ax = plt.subplots(figsize=(6, 4), layout='constrained', facecolor='0.95')
+
+ax.plot([1, 2], [1, 2], label='TEST')
+# Place a legend to the right of this smaller subplot.
+for loc in [
+        'outside upper left',
+        'outside upper center',
+        'outside upper right',
+        'outside lower left',
+        'outside lower center',
+        'outside lower right']:
+    fig.legend(loc=loc, title=loc)
+
+fig, ax = plt.subplots(figsize=(6, 4), layout='constrained', facecolor='0.95')
+ax.plot([1, 2], [1, 2], label='test')
+
+for loc in [
+        'outside left upper',
+        'outside right upper',
+        'outside left center',
+        'outside right center',
+        'outside left lower',
+        'outside right lower']:
+    fig.legend(loc=loc, title=loc)
+
+
+# %%
+# Multiple legends on the same Axes
+# =================================
+#
+# Sometimes it is more clear to split legend entries across multiple
+# legends. Whilst the instinctive approach to doing this might be to call
+# the :func:`legend` function multiple times, you will find that only one
+# legend ever exists on the Axes. This has been done so that it is possible
+# to call :func:`legend` repeatedly to update the legend to the latest
+# handles on the Axes. To keep old legend instances, we must add them
+# manually to the Axes:
+
+fig, ax = plt.subplots()
+line1, = ax.plot([1, 2, 3], label="Line 1", linestyle='--')
+line2, = ax.plot([3, 2, 1], label="Line 2", linewidth=4)
+
+# Create a legend for the first line.
+first_legend = ax.legend(handles=[line1], loc='upper right')
+
+# Add the legend manually to the Axes.
+ax.add_artist(first_legend)
+
+# Create another legend for the second line.
+ax.legend(handles=[line2], loc='lower right')
+
+plt.show()
+
+# %%
+# Legend handlers
+# ===============
+#
+# In order to create legend entries, handles are given as an argument to an
+# appropriate :class:`~matplotlib.legend_handler.HandlerBase` subclass.
+# The choice of handler subclass is determined by the following rules:
+#
+# 1. Update :func:`~matplotlib.legend.Legend.get_legend_handler_map`
+#    with the value in the ``handler_map`` keyword.
+# 2. Check if the ``handle`` is in the newly created ``handler_map``.
+# 3. Check if the type of ``handle`` is in the newly created ``handler_map``.
+# 4. Check if any of the types in the ``handle``'s mro is in the newly
+#    created ``handler_map``.
+#
+# For completeness, this logic is mostly implemented in
+# :func:`~matplotlib.legend.Legend.get_legend_handler`.
+#
+# All of this flexibility means that we have the necessary hooks to implement
+# custom handlers for our own type of legend key.
+#
+# The simplest example of using custom handlers is to instantiate one of the
+# existing `.legend_handler.HandlerBase` subclasses. For the
+# sake of simplicity, let's choose `.legend_handler.HandlerLine2D`
+# which accepts a *numpoints* argument (numpoints is also a keyword
+# on the :func:`legend` function for convenience). We can then pass the mapping
+# of instance to Handler as a keyword to legend.
+
+from matplotlib.legend_handler import HandlerLine2D
+
+fig, ax = plt.subplots()
+line1, = ax.plot([3, 2, 1], marker='o', label='Line 1')
+line2, = ax.plot([1, 2, 3], marker='o', label='Line 2')
+
+ax.legend(handler_map={line1: HandlerLine2D(numpoints=4)}, handlelength=4)
+
+# %%
+# As you can see, "Line 1" now has 4 marker points, where "Line 2" has 2 (the
+# default). We have also increased the length of the handles with the
+# ``handlelength`` keyword to fit the larger legend entry.
+# Try the above code, only change the map's key from ``line1`` to
+# ``type(line1)``. Notice how now both `.Line2D` instances get 4 markers.
+#
+# Along with handlers for complex plot types such as errorbars, stem plots
+# and histograms, the default ``handler_map`` has a special ``tuple`` handler
+# (`.legend_handler.HandlerTuple`) which simply plots the handles on top of one
+# another for each item in the given tuple. The following example demonstrates
+# combining two legend keys on top of one another:
+
+from numpy.random import randn
+
+z = randn(10)
+
+fig, ax = plt.subplots()
+red_dot, = ax.plot(z, "ro", markersize=15)
+# Put a white cross over some of the data.
+white_cross, = ax.plot(z[:5], "w+", markeredgewidth=3, markersize=15)
+
+ax.legend([red_dot, (red_dot, white_cross)], ["Attr A", "Attr A+B"])
+
+# %%
+# The `.legend_handler.HandlerTuple` class can also be used to
+# assign several legend keys to the same entry:
+
+from matplotlib.legend_handler import HandlerLine2D, HandlerTuple
+
+fig, ax = plt.subplots()
+p1, = ax.plot([1, 2.5, 3], 'r-d')
+p2, = ax.plot([3, 2, 1], 'k-o')
+
+l = ax.legend([(p1, p2)], ['Two keys'], numpoints=1,
+              handler_map={tuple: HandlerTuple(ndivide=None)})
+
+# %%
+# Implementing a custom legend handler
+# ------------------------------------
+#
+# A custom handler can be implemented to turn any handle into a legend key
+# (handles don't necessarily need to be matplotlib artists).  The handler must
+# implement a ``legend_artist`` method which returns a single artist for the
+# legend to use. The required signature for ``legend_artist`` is documented at
+# `~.legend_handler.HandlerBase.legend_artist`.
+
+import matplotlib.patches as mpatches
+
+
+class AnyObject:
+    pass
+
+
+class AnyObjectHandler:
+    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
+        x0, y0 = handlebox.xdescent, handlebox.ydescent
+        width, height = handlebox.width, handlebox.height
+        patch = mpatches.Rectangle([x0, y0], width, height, facecolor='red',
+                                   edgecolor='black', hatch='xx', lw=3,
+                                   transform=handlebox.get_transform())
+        handlebox.add_artist(patch)
+        return patch
+
+fig, ax = plt.subplots()
+
+ax.legend([AnyObject()], ['My first handler'],
+          handler_map={AnyObject: AnyObjectHandler()})
+
+# %%
+# Alternatively, had we wanted to globally accept ``AnyObject`` instances
+# without needing to manually set the *handler_map* keyword all the time, we
+# could have registered the new handler with::
+#
+#     from matplotlib.legend import Legend
+#     Legend.update_default_handler_map({AnyObject: AnyObjectHandler()})
+#
+# Whilst the power here is clear, remember that there are already many handlers
+# implemented and what you want to achieve may already be easily possible with
+# existing classes. For example, to produce elliptical legend keys, rather than
+# rectangular ones:
+
+from matplotlib.legend_handler import HandlerPatch
+
+
+class HandlerEllipse(HandlerPatch):
+    def create_artists(self, legend, orig_handle,
+                       xdescent, ydescent, width, height, fontsize, trans):
+        center = 0.5 * width - 0.5 * xdescent, 0.5 * height - 0.5 * ydescent
+        p = mpatches.Ellipse(xy=center, width=width + xdescent,
+                             height=height + ydescent)
+        self.update_prop(p, orig_handle, legend)
+        p.set_transform(trans)
+        return [p]
+
+
+c = mpatches.Circle((0.5, 0.5), 0.25, facecolor="green",
+                    edgecolor="red", linewidth=3)
+
+fig, ax = plt.subplots()
+
+ax.add_patch(c)
+ax.legend([c], ["An ellipse, not a rectangle"],
+          handler_map={mpatches.Circle: HandlerEllipse()})
diff --git a/galleries/users_explain/axes/mosaic.py b/galleries/users_explain/axes/mosaic.py
new file mode 100644
index 000000000000..d88c027688cb
--- /dev/null
+++ b/galleries/users_explain/axes/mosaic.py
@@ -0,0 +1,392 @@
+"""
+.. redirect-from:: /tutorials/provisional/mosaic
+.. redirect-from:: /gallery/subplots_axes_and_figures/mosaic
+
+.. _mosaic:
+
+========================================================
+Complex and semantic figure composition (subplot_mosaic)
+========================================================
+
+Laying out Axes in a Figure in a non-uniform grid can be both tedious
+and verbose.  For dense, even grids we have `.Figure.subplots` but for
+more complex layouts, such as Axes that span multiple columns / rows
+of the layout or leave some areas of the Figure blank, you can use
+`.gridspec.GridSpec` (see :ref:`arranging_axes`) or
+manually place your Axes.  `.Figure.subplot_mosaic` aims to provide an
+interface to visually lay out your Axes (as either ASCII art or nested
+lists) to streamline this process.
+
+This interface naturally supports naming your Axes.
+`.Figure.subplot_mosaic` returns a dictionary keyed on the
+labels used to lay out the Figure.  By returning data structures with
+names, it is easier to write plotting code that is independent of the
+Figure layout.
+
+
+This is inspired by a `proposed MEP
+<https://github.com/matplotlib/matplotlib/pull/4384>`__ and the
+`patchwork <https://github.com/thomasp85/patchwork>`__ library for R.
+While we do not implement the operator overloading style, we do
+provide a Pythonic API for specifying (nested) Axes layouts.
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+# Helper function used for visualization in the following examples
+def identify_axes(ax_dict, fontsize=48):
+    """
+    Helper to identify the Axes in the examples below.
+
+    Draws the label in a large font in the center of the Axes.
+
+    Parameters
+    ----------
+    ax_dict : dict[str, Axes]
+        Mapping between the title / label and the Axes.
+    fontsize : int, optional
+        How big the label should be.
+    """
+    kw = dict(ha="center", va="center", fontsize=fontsize, color="darkgrey")
+    for k, ax in ax_dict.items():
+        ax.text(0.5, 0.5, k, transform=ax.transAxes, **kw)
+
+
+# %%
+# If we want a 2x2 grid we can use `.Figure.subplots` which returns a 2D array
+# of `.axes.Axes` which we can index into to do our plotting.
+np.random.seed(19680801)
+hist_data = np.random.randn(1_500)
+
+
+fig = plt.figure(layout="constrained")
+ax_array = fig.subplots(2, 2, squeeze=False)
+
+ax_array[0, 0].bar(["a", "b", "c"], [5, 7, 9])
+ax_array[0, 1].plot([1, 2, 3])
+ax_array[1, 0].hist(hist_data, bins="auto")
+ax_array[1, 1].imshow([[1, 2], [2, 1]])
+
+identify_axes(
+    {(j, k): a for j, r in enumerate(ax_array) for k, a in enumerate(r)},
+)
+
+# %%
+# Using `.Figure.subplot_mosaic` we can produce the same mosaic but give the
+# Axes semantic names
+
+fig = plt.figure(layout="constrained")
+ax_dict = fig.subplot_mosaic(
+    [
+        ["bar", "plot"],
+        ["hist", "image"],
+    ],
+)
+ax_dict["bar"].bar(["a", "b", "c"], [5, 7, 9])
+ax_dict["plot"].plot([1, 2, 3])
+ax_dict["hist"].hist(hist_data)
+ax_dict["image"].imshow([[1, 2], [2, 1]])
+identify_axes(ax_dict)
+
+# %%
+# A key difference between `.Figure.subplots` and
+# `.Figure.subplot_mosaic` is the return value. While the former
+# returns an array for index access, the latter returns a dictionary
+# mapping the labels to the `.axes.Axes` instances created
+
+print(ax_dict)
+
+
+# %%
+# String short-hand
+# =================
+#
+# By restricting our Axes labels to single characters we can
+# "draw" the Axes we want as "ASCII art".  The following
+
+
+mosaic = """
+    AB
+    CD
+    """
+
+# %%
+# will give us 4 Axes laid out in a 2x2 grid and generates the same
+# figure mosaic as above (but now labeled with ``{"A", "B", "C",
+# "D"}`` rather than ``{"bar", "plot", "hist", "image"}``).
+
+fig = plt.figure(layout="constrained")
+ax_dict = fig.subplot_mosaic(mosaic)
+identify_axes(ax_dict)
+
+# %%
+# Alternatively, you can use the more compact string notation
+mosaic = "AB;CD"
+
+# %%
+# will give you the same composition, where the ``";"`` is used
+# as the row separator instead of newline.
+
+fig = plt.figure(layout="constrained")
+ax_dict = fig.subplot_mosaic(mosaic)
+identify_axes(ax_dict)
+
+# %%
+# Axes spanning multiple rows/columns
+# ===================================
+#
+# Something we can do with `.Figure.subplot_mosaic`, that we cannot
+# do with `.Figure.subplots`, is to specify that an Axes should span
+# several rows or columns.
+
+
+# %%
+# If we want to re-arrange our four Axes to have ``"C"`` be a horizontal
+# span on the bottom and ``"D"`` be a vertical span on the right we would do
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    """
+    ABD
+    CCD
+    """
+)
+identify_axes(axd)
+
+# %%
+# If we do not want to fill in all the spaces in the Figure with Axes,
+# we can specify some spaces in the grid to be blank
+
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    """
+    A.C
+    BBB
+    .D.
+    """
+)
+identify_axes(axd)
+
+
+# %%
+# If we prefer to use another character (rather than a period ``"."``)
+# to mark the empty space, we can use *empty_sentinel* to specify the
+# character to use.
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    """
+    aX
+    Xb
+    """,
+    empty_sentinel="X",
+)
+identify_axes(axd)
+
+
+# %%
+#
+# Internally there is no meaning attached to the letters we use, any
+# Unicode code point is valid!
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    """αб
+       �☢"""
+)
+identify_axes(axd)
+
+# %%
+# It is not recommended to use white space as either a label or an
+# empty sentinel with the string shorthand because it may be stripped
+# while processing the input.
+#
+# Controlling mosaic creation
+# ===========================
+#
+# This feature is built on top of `.gridspec` and you can pass the
+# keyword arguments through to the underlying `.gridspec.GridSpec`
+# (the same as `.Figure.subplots`).
+#
+# In this case we want to use the input to specify the arrangement,
+# but set the relative widths of the rows / columns.  For convenience,
+# `.gridspec.GridSpec`'s *height_ratios* and *width_ratios* are exposed in the
+# `.Figure.subplot_mosaic` calling sequence.
+
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    """
+    .a.
+    bAc
+    .d.
+    """,
+    # set the height ratios between the rows
+    height_ratios=[1, 3.5, 1],
+    # set the width ratios between the columns
+    width_ratios=[1, 3.5, 1],
+)
+identify_axes(axd)
+
+# %%
+# Other `.gridspec.GridSpec` keywords can be passed via *gridspec_kw*.  For
+# example, use the {*left*, *right*, *bottom*, *top*} keyword arguments to
+# position the overall mosaic to put multiple versions of the same
+# mosaic in a figure.
+
+mosaic = """AA
+            BC"""
+fig = plt.figure()
+axd = fig.subplot_mosaic(
+    mosaic,
+    gridspec_kw={
+        "bottom": 0.25,
+        "top": 0.95,
+        "left": 0.1,
+        "right": 0.5,
+        "wspace": 0.5,
+        "hspace": 0.5,
+    },
+)
+identify_axes(axd)
+
+axd = fig.subplot_mosaic(
+    mosaic,
+    gridspec_kw={
+        "bottom": 0.05,
+        "top": 0.75,
+        "left": 0.6,
+        "right": 0.95,
+        "wspace": 0.5,
+        "hspace": 0.5,
+    },
+)
+identify_axes(axd)
+
+# %%
+# Alternatively, you can use the sub-Figure functionality:
+
+mosaic = """AA
+            BC"""
+fig = plt.figure(layout="constrained")
+left, right = fig.subfigures(nrows=1, ncols=2)
+axd = left.subplot_mosaic(mosaic)
+identify_axes(axd)
+
+axd = right.subplot_mosaic(mosaic)
+identify_axes(axd)
+
+
+# %%
+# Controlling subplot creation
+# ============================
+#
+# We can also pass through arguments used to create the subplots
+# (again, the same as `.Figure.subplots`) which will apply to all
+# of the Axes created.
+
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    "AB", subplot_kw={"projection": "polar"}
+)
+identify_axes(axd)
+
+# %%
+# Per-Axes subplot keyword arguments
+# ----------------------------------
+#
+# If you need to control the parameters passed to each subplot individually use
+# *per_subplot_kw* to pass a mapping between the Axes identifiers (or
+# tuples of Axes identifiers) to dictionaries of keywords to be passed.
+#
+# .. versionadded:: 3.7
+#
+
+
+fig, axd = plt.subplot_mosaic(
+    "AB;CD",
+    per_subplot_kw={
+        "A": {"projection": "polar"},
+        ("C", "D"): {"xscale": "log"}
+    },
+)
+identify_axes(axd)
+
+# %%
+# If the layout is specified with the string short-hand, then we know the
+# Axes labels will be one character and can unambiguously interpret longer
+# strings in *per_subplot_kw* to specify a set of Axes to apply the
+# keywords to:
+
+
+fig, axd = plt.subplot_mosaic(
+    "AB;CD",
+    per_subplot_kw={
+        "AD": {"projection": "polar"},
+        "BC": {"facecolor": ".9"}
+    },
+)
+identify_axes(axd)
+
+# %%
+# If *subplot_kw* and *per_subplot_kw* are used together, then they are
+# merged with *per_subplot_kw* taking priority:
+
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    "AB;CD",
+    subplot_kw={"facecolor": "xkcd:tangerine"},
+    per_subplot_kw={
+        "B": {"facecolor": "xkcd:water blue"},
+        "D": {"projection": "polar", "facecolor": "w"},
+    }
+)
+identify_axes(axd)
+
+
+# %%
+# Nested list input
+# =================
+#
+# Everything we can do with the string shorthand we can also do when
+# passing in a list (internally we convert the string shorthand to a nested
+# list), for example using spans, blanks, and *gridspec_kw*:
+
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    [
+        ["main", "zoom"],
+        ["main", "BLANK"],
+    ],
+    empty_sentinel="BLANK",
+    width_ratios=[2, 1],
+)
+identify_axes(axd)
+
+
+# %%
+# In addition, using the list input we can specify nested mosaics.  Any element
+# of the inner list can be another set of nested lists:
+
+inner = [
+    ["inner A"],
+    ["inner B"],
+]
+
+outer_nested_mosaic = [
+    ["main", inner],
+    ["bottom", "bottom"],
+]
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    outer_nested_mosaic, empty_sentinel=None
+)
+identify_axes(axd, fontsize=36)
+
+
+# %%
+# We can also pass in a 2D NumPy array to do things like
+mosaic = np.zeros((4, 4), dtype=int)
+for j in range(4):
+    mosaic[j, j] = j + 1
+axd = plt.figure(layout="constrained").subplot_mosaic(
+    mosaic,
+    empty_sentinel=0,
+)
+identify_axes(axd)
diff --git a/galleries/users_explain/axes/tight_layout_guide.py b/galleries/users_explain/axes/tight_layout_guide.py
new file mode 100644
index 000000000000..672704bb9726
--- /dev/null
+++ b/galleries/users_explain/axes/tight_layout_guide.py
@@ -0,0 +1,299 @@
+"""
+.. redirect-from:: /tutorial/intermediate/tight_layout_guide
+
+.. _tight_layout_guide:
+
+==================
+Tight layout guide
+==================
+
+How to use tight-layout to fit plots within your figure cleanly.
+
+.. tip::
+
+   *tight_layout* was the first layout engine in Matplotlib. The more modern
+   and more capable :ref:`Constrained Layout <constrainedlayout_guide>` should
+   typically be used instead.
+
+*tight_layout* automatically adjusts subplot params so that the
+subplot(s) fits in to the figure area. This is an experimental
+feature and may not work for some cases. It only checks the extents
+of ticklabels, axis labels, and titles.
+
+Simple example
+==============
+
+With the default Axes positioning, the axes title, axis labels, or tick labels
+can sometimes go outside the figure area, and thus get clipped.
+"""
+
+# sphinx_gallery_thumbnail_number = 7
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.rcParams['savefig.facecolor'] = "0.8"
+
+
+def example_plot(ax, fontsize=12):
+    ax.plot([1, 2])
+
+    ax.locator_params(nbins=3)
+    ax.set_xlabel('x-label', fontsize=fontsize)
+    ax.set_ylabel('y-label', fontsize=fontsize)
+    ax.set_title('Title', fontsize=fontsize)
+
+plt.close('all')
+fig, ax = plt.subplots()
+example_plot(ax, fontsize=24)
+
+# %%
+# To prevent this, the location of Axes needs to be adjusted. For
+# subplots, this can be done manually by adjusting the subplot parameters
+# using `.Figure.subplots_adjust`. `.Figure.tight_layout` does this
+# automatically.
+
+fig, ax = plt.subplots()
+example_plot(ax, fontsize=24)
+plt.tight_layout()
+
+# %%
+# Note that :func:`matplotlib.pyplot.tight_layout` will only adjust the
+# subplot params when it is called.  In order to perform this adjustment each
+# time the figure is redrawn, you can call ``fig.set_tight_layout(True)``, or,
+# equivalently, set :rc:`figure.autolayout` to ``True``.
+#
+# When you have multiple subplots, often you see labels of different
+# Axes overlapping each other.
+
+plt.close('all')
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+
+# %%
+# :func:`~matplotlib.pyplot.tight_layout` will also adjust spacing between
+# subplots to minimize the overlaps.
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+plt.tight_layout()
+
+# %%
+# :func:`~matplotlib.pyplot.tight_layout` can take keyword arguments of
+# *pad*, *w_pad* and *h_pad*. These control the extra padding around the
+# figure border and between subplots. The pads are specified in fraction
+# of fontsize.
+
+fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
+
+# %%
+# :func:`~matplotlib.pyplot.tight_layout` will work even if the sizes of
+# subplots are different as far as their grid specification is
+# compatible. In the example below, *ax1* and *ax2* are subplots of a 2x2
+# grid, while *ax3* is of a 1x2 grid.
+
+plt.close('all')
+fig = plt.figure()
+
+ax1 = plt.subplot(221)
+ax2 = plt.subplot(223)
+ax3 = plt.subplot(122)
+
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+
+plt.tight_layout()
+
+# %%
+# It works with subplots created with
+# :func:`~matplotlib.pyplot.subplot2grid`. In general, subplots created
+# from the gridspec (:ref:`arranging_axes`) will work.
+
+plt.close('all')
+fig = plt.figure()
+
+ax1 = plt.subplot2grid((3, 3), (0, 0))
+ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
+ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
+ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
+
+example_plot(ax1)
+example_plot(ax2)
+example_plot(ax3)
+example_plot(ax4)
+
+plt.tight_layout()
+
+# %%
+# Although not thoroughly tested, it seems to work for subplots with
+# aspect != "auto" (e.g., Axes with images).
+
+arr = np.arange(100).reshape((10, 10))
+
+plt.close('all')
+fig = plt.figure(figsize=(5, 4))
+
+ax = plt.subplot()
+im = ax.imshow(arr, interpolation="none")
+
+plt.tight_layout()
+
+# %%
+# Caveats
+# =======
+#
+# * `~matplotlib.pyplot.tight_layout` considers all artists on the Axes by
+#   default.  To remove an artist from the layout calculation you can call
+#   `.Artist.set_in_layout`.
+#
+# * ``tight_layout`` assumes that the extra space needed for artists is
+#   independent of the original location of Axes. This is often true, but there
+#   are rare cases where it is not.
+#
+# * ``pad=0`` can clip some texts by a few pixels. This may be a bug or
+#   a limitation of the current algorithm, and it is not clear why it
+#   happens. Meanwhile, use of pad larger than 0.3 is recommended.
+#
+# * The algorithm of ``tight_layout`` does not necessarily converge,
+#   i.e. calling ``tight_layout`` multiple times can lead to slight
+#   variations in the layout between the calls.
+#
+# Use with GridSpec
+# =================
+#
+# GridSpec has its own `.GridSpec.tight_layout` method (the pyplot api
+# `.pyplot.tight_layout` also works).
+
+import matplotlib.gridspec as gridspec
+
+plt.close('all')
+fig = plt.figure()
+
+gs1 = gridspec.GridSpec(2, 1)
+ax1 = fig.add_subplot(gs1[0])
+ax2 = fig.add_subplot(gs1[1])
+
+example_plot(ax1)
+example_plot(ax2)
+
+gs1.tight_layout(fig)
+
+# %%
+# You may provide an optional *rect* parameter, which specifies the bounding
+# box that the subplots will be fit inside. The coordinates are in
+# normalized figure coordinates and default to (0, 0, 1, 1) (the whole figure).
+
+fig = plt.figure()
+
+gs1 = gridspec.GridSpec(2, 1)
+ax1 = fig.add_subplot(gs1[0])
+ax2 = fig.add_subplot(gs1[1])
+
+example_plot(ax1)
+example_plot(ax2)
+
+gs1.tight_layout(fig, rect=[0, 0, 0.5, 1.0])
+
+# %%
+# However, we do not recommend that this be used to manually construct more
+# complicated layouts, like having one GridSpec in the left and one in the
+# right side of the figure. For these use cases, one should instead take
+# advantage of :doc:`/gallery/subplots_axes_and_figures/gridspec_nested`, or
+# the :doc:`/gallery/subplots_axes_and_figures/subfigures`.
+
+
+# %%
+# Legends and annotations
+# =======================
+#
+# Pre Matplotlib 2.2, legends and annotations were excluded from the bounding
+# box calculations that decide the layout.  Subsequently, these artists were
+# added to the calculation, but sometimes it is undesirable to include them.
+# For instance in this case it might be good to have the Axes shrink a bit
+# to make room for the legend:
+
+fig, ax = plt.subplots(figsize=(4, 3))
+lines = ax.plot(range(10), label='A simple plot')
+ax.legend(bbox_to_anchor=(0.7, 0.5), loc='center left',)
+fig.tight_layout()
+plt.show()
+
+# %%
+# However, sometimes this is not desired (quite often when using
+# ``fig.savefig('outname.png', bbox_inches='tight')``).  In order to
+# remove the legend from the bounding box calculation, we simply set its
+# bounding ``leg.set_in_layout(False)`` and the legend will be ignored.
+
+fig, ax = plt.subplots(figsize=(4, 3))
+lines = ax.plot(range(10), label='B simple plot')
+leg = ax.legend(bbox_to_anchor=(0.7, 0.5), loc='center left',)
+leg.set_in_layout(False)
+fig.tight_layout()
+plt.show()
+
+# %%
+# Use with AxesGrid1
+# ==================
+#
+# Limited support for :mod:`mpl_toolkits.axes_grid1` is provided.
+
+from mpl_toolkits.axes_grid1 import Grid
+
+plt.close('all')
+fig = plt.figure()
+grid = Grid(fig, rect=111, nrows_ncols=(2, 2),
+            axes_pad=0.25, label_mode='L',
+            )
+
+for ax in grid:
+    example_plot(ax)
+ax.title.set_visible(False)
+
+plt.tight_layout()
+
+# %%
+# Colorbar
+# ========
+#
+# If you create a colorbar with `.Figure.colorbar`, the created colorbar is
+# drawn in a Subplot as long as the parent Axes is also a Subplot, so
+# `.Figure.tight_layout` will work.
+
+plt.close('all')
+arr = np.arange(100).reshape((10, 10))
+fig = plt.figure(figsize=(4, 4))
+im = plt.imshow(arr, interpolation="none")
+
+plt.colorbar(im)
+
+plt.tight_layout()
+
+# %%
+# Another option is to use the AxesGrid1 toolkit to
+# explicitly create an Axes for the colorbar.
+
+from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+plt.close('all')
+arr = np.arange(100).reshape((10, 10))
+fig = plt.figure(figsize=(4, 4))
+im = plt.imshow(arr, interpolation="none")
+
+divider = make_axes_locatable(plt.gca())
+cax = divider.append_axes("right", "5%", pad="3%")
+plt.colorbar(im, cax=cax)
+
+plt.tight_layout()
diff --git a/galleries/users_explain/colors/README.txt b/galleries/users_explain/colors/README.txt
new file mode 100644
index 000000000000..79f49c523f56
--- /dev/null
+++ b/galleries/users_explain/colors/README.txt
@@ -0,0 +1,13 @@
+.. _tutorials-colors:
+
+.. redirect-from:: /tutorials/colors/index
+
+Colors
+------
+
+Matplotlib has support for visualizing information with a wide array
+of colors and colormaps. These tutorials cover the basics of how
+these colormaps look, how you can create your own, and how you can
+customize colormaps for your use case.
+
+For even more information see the :ref:`examples page <color_examples>`.
diff --git a/galleries/users_explain/colors/colorbar_only.py b/galleries/users_explain/colors/colorbar_only.py
new file mode 100644
index 000000000000..b956fae43a1b
--- /dev/null
+++ b/galleries/users_explain/colors/colorbar_only.py
@@ -0,0 +1,141 @@
+"""
+.. redirect-from:: /tutorials/colors/colorbar_only
+
+=============================
+Customized Colorbars Tutorial
+=============================
+
+This tutorial shows how to build and customize standalone colorbars, i.e.
+without an attached plot.
+
+A `~.Figure.colorbar` requires a `matplotlib.colorizer.ColorizingArtist` which
+contains a `matplotlib.colorizer.Colorizer` that holds the data-to-color pipeline
+(norm and colormap). To create a colorbar without an attached plot one can
+directly instantiate the base class `.ColorizingArtist`, which has no associated
+data.
+
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib as mpl
+
+# %%
+# Basic continuous colorbar
+# -------------------------
+# Here, we create a basic continuous colorbar with ticks and labels.
+#
+# The arguments to the `~.Figure.colorbar` call are a `.ColorizingArtist`,
+# the axes where the colorbar should be drawn, and the colorbar's orientation.
+# To crate a `.ColorizingArtist` one must first make `.Colorizer` that holds the
+# desired *norm* and *cmap*.
+#
+#
+# For more information see the `~matplotlib.colorbar` API.
+
+fig, ax = plt.subplots(figsize=(6, 1), layout='constrained')
+
+norm = mpl.colors.Normalize(vmin=5, vmax=10)
+
+colorizer = mpl.colorizer.Colorizer(norm=norm, cmap="cool")
+
+fig.colorbar(mpl.colorizer.ColorizingArtist(colorizer),
+             cax=ax, orientation='horizontal', label='Some Units')
+
+# %%
+# Colorbar attached next to a pre-existing axes
+# ---------------------------------------------
+# All examples in this tutorial (except this one) show a standalone colorbar on
+# its own figure, but it is possible to display the colorbar *next* to a
+# pre-existing Axes *ax* by passing ``ax=ax`` to the colorbar() call (meaning
+# "draw the colorbar next to *ax*") rather than ``cax=ax`` (meaning "draw the
+# colorbar on *ax*").
+
+fig, ax = plt.subplots(layout='constrained')
+
+colorizer = mpl.colorizer.Colorizer(norm=mpl.colors.Normalize(0, 1), cmap='magma')
+
+fig.colorbar(mpl.colorizer.ColorizingArtist(colorizer),
+             ax=ax, orientation='vertical', label='a colorbar label')
+
+# %%
+# Discrete and extended colorbar with continuous colorscale
+# ---------------------------------------------------------
+# The following example shows how to make a discrete colorbar based on a
+# continuous cmap.  We use `matplotlib.colors.BoundaryNorm` to describe the
+# interval boundaries (which must be in increasing order), and further pass the
+# *extend* argument to it to further display "over" and "under" colors (which
+# are used for data outside of the norm range).
+
+fig, ax = plt.subplots(figsize=(6, 1), layout='constrained')
+
+cmap = mpl.colormaps["viridis"]
+bounds = [-1, 2, 5, 7, 12, 15]
+norm = mpl.colors.BoundaryNorm(bounds, cmap.N, extend='both')
+
+colorizer = mpl.colorizer.Colorizer(norm=norm, cmap='viridis')
+
+fig.colorbar(mpl.colorizer.ColorizingArtist(colorizer),
+             cax=ax, orientation='horizontal',
+             label="Discrete intervals with extend='both' keyword")
+
+# %%
+# Colorbar with arbitrary colors
+# ------------------------------
+# The following example still uses a `.BoundaryNorm` to describe discrete
+# interval boundaries, but now uses a `matplotlib.colors.ListedColormap` to
+# associate each interval with an arbitrary color (there must be as many
+# intervals than there are colors).
+#
+# We also pass additional arguments to `~.Figure.colorbar`:
+#
+# - To display the out-of-range values on the colorbar, we use the *extend*
+#   argument in the colorbar() call.  (This is equivalent to passing the
+#   *extend* argument in the `.BoundaryNorm` constructor as done in the
+#   previous example.)
+# - To make the length of each colorbar segment proportional to its
+#   corresponding interval, we use the *spacing* argument in the colorbar()
+#   call.
+
+fig, ax = plt.subplots(figsize=(6, 1), layout='constrained')
+
+cmap = mpl.colors.ListedColormap(
+    ['red', 'green', 'blue', 'cyan'], under='yellow', over='magenta')
+bounds = [1, 2, 4, 7, 8]
+norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
+
+colorizer = mpl.colorizer.Colorizer(norm=norm, cmap=cmap)
+
+fig.colorbar(
+    mpl.colorizer.ColorizingArtist(colorizer),
+    cax=ax, orientation='horizontal',
+    extend='both',
+    spacing='proportional',
+    label='Discrete intervals, some other units',
+)
+
+# %%
+# Colorbar with custom extension lengths
+# --------------------------------------
+# We can customize the length colorbar extensions, on a colorbar with discrete
+# intervals. To make the length of each extension the
+# same as the length of the interior colors, use ``extendfrac='auto'``.
+
+fig, ax = plt.subplots(figsize=(6, 1), layout='constrained')
+
+cmap = mpl.colors.ListedColormap(
+    ['royalblue', 'cyan', 'yellow', 'orange'], over='red', under='blue')
+bounds = [-1.0, -0.5, 0.0, 0.5, 1.0]
+norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
+
+colorizer = mpl.colorizer.Colorizer(norm=norm, cmap=cmap)
+
+fig.colorbar(
+    mpl.colorizer.ColorizingArtist(colorizer),
+    cax=ax, orientation='horizontal',
+    extend='both', extendfrac='auto',
+    spacing='uniform',
+    label='Custom extension lengths, some other units',
+)
+
+plt.show()
diff --git a/galleries/users_explain/colors/colormap-manipulation.py b/galleries/users_explain/colors/colormap-manipulation.py
new file mode 100644
index 000000000000..0cd488857257
--- /dev/null
+++ b/galleries/users_explain/colors/colormap-manipulation.py
@@ -0,0 +1,315 @@
+"""
+.. redirect-from:: /tutorials/colors/colormap-manipulation
+
+.. _colormap-manipulation:
+
+********************************
+Creating Colormaps in Matplotlib
+********************************
+
+Matplotlib has a number of built-in colormaps accessible via
+`.matplotlib.colormaps`.  There are also external libraries like
+palettable_ that have many extra colormaps.
+
+.. _palettable: https://jiffyclub.github.io/palettable/
+
+However, we may also want to create or manipulate our own colormaps.
+This can be done using the class `.ListedColormap` or
+`.LinearSegmentedColormap`.
+Both colormap classes map values between 0 and 1 to colors. There are however
+differences, as explained below.
+
+Before manually creating or manipulating colormaps, let us first see how we
+can obtain colormaps and their colors from existing colormap classes.
+
+Getting colormaps and accessing their values
+============================================
+
+First, getting a named colormap, most of which are listed in
+:ref:`colormaps`, may be done using `.matplotlib.colormaps`,
+which returns a colormap object.  The length of the list of colors used
+internally to define the colormap can be adjusted via `.Colormap.resampled`.
+Below we use a modest value of 8 so there are not a lot of values to look at.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib.colors import LinearSegmentedColormap, ListedColormap
+
+viridis = mpl.colormaps['viridis'].resampled(8)
+
+# %%
+# The object ``viridis`` is a callable, that when passed a float between
+# 0 and 1 returns an RGBA value from the colormap:
+
+print(viridis(0.56))
+
+# %%
+# ListedColormap
+# --------------
+#
+# `.ListedColormap`\s store their color values in a ``.colors`` attribute.
+# The list of colors that comprise the colormap can be directly accessed using
+# the ``colors`` property,
+# or it can be accessed indirectly by calling  ``viridis`` with an array of
+# values matching the length of the colormap.  Note that the returned list is
+# in the form of an RGBA (N, 4) array, where N is the length of the colormap.
+
+print('viridis.colors', viridis.colors)
+print('viridis(range(8))', viridis(range(8)))
+print('viridis(np.linspace(0, 1, 8))', viridis(np.linspace(0, 1, 8)))
+
+# %%
+# The colormap is a lookup table, so "oversampling" the colormap returns
+# nearest-neighbor interpolation (note the repeated colors in the list below)
+
+print('viridis(np.linspace(0, 1, 12))', viridis(np.linspace(0, 1, 12)))
+
+# %%
+# LinearSegmentedColormap
+# -----------------------
+# `.LinearSegmentedColormap`\s do not have a ``.colors`` attribute.
+# However, one may still call the colormap with an integer array, or with a
+# float array between 0 and 1.
+
+copper = mpl.colormaps['copper'].resampled(8)
+
+print('copper(range(8))', copper(range(8)))
+print('copper(np.linspace(0, 1, 8))', copper(np.linspace(0, 1, 8)))
+
+# %%
+# Creating listed colormaps
+# =========================
+#
+# Creating a colormap is essentially the inverse operation of the above where
+# we supply a list or array of color specifications to `.ListedColormap` to
+# make a new colormap.
+#
+# Before continuing with the tutorial, let us define a helper function that
+# takes one of more colormaps as input, creates some random data and applies
+# the colormap(s) to an image plot of that dataset.
+
+
+def plot_examples(colormaps):
+    """
+    Helper function to plot data with associated colormap.
+    """
+    np.random.seed(19680801)
+    data = np.random.randn(30, 30)
+    n = len(colormaps)
+    fig, axs = plt.subplots(1, n, figsize=(n * 2 + 2, 3),
+                            layout='constrained', squeeze=False)
+    for [ax, cmap] in zip(axs.flat, colormaps):
+        psm = ax.pcolormesh(data, cmap=cmap, rasterized=True, vmin=-4, vmax=4)
+        fig.colorbar(psm, ax=ax)
+    plt.show()
+
+
+# %%
+# In the simplest case we might type in a list of color names to create a
+# colormap from those.
+
+cmap = ListedColormap(["darkorange", "gold", "lawngreen", "lightseagreen"])
+plot_examples([cmap])
+
+# %%
+# In fact, that list may contain any valid
+# :ref:`Matplotlib color specification <colors_def>`.
+# Particularly useful for creating custom colormaps are (N, 4)-shaped arrays.
+# Because with the variety of numpy operations that we can do on a such an
+# array, carpentry of new colormaps from existing colormaps become quite
+# straight forward.
+#
+# For example, suppose we want to make the first 25 entries of a 256-length
+# "viridis" colormap pink for some reason:
+
+viridis = mpl.colormaps['viridis'].resampled(256)
+newcolors = viridis(np.linspace(0, 1, 256))
+pink = np.array([248/256, 24/256, 148/256, 1])
+newcolors[:25, :] = pink
+newcmp = ListedColormap(newcolors)
+
+plot_examples([viridis, newcmp])
+
+# %%
+# We can reduce the dynamic range of a colormap; here we choose the
+# middle half of the colormap.  Note, however, that because viridis is a
+# listed colormap, we will end up with 128 discrete values instead of the 256
+# values that were in the original colormap. This method does not interpolate
+# in color-space to add new colors.
+
+viridis_big = mpl.colormaps['viridis']
+newcmp = ListedColormap(viridis_big(np.linspace(0.25, 0.75, 128)))
+plot_examples([viridis, newcmp])
+
+# %%
+# and we can easily concatenate two colormaps:
+
+top = mpl.colormaps['Oranges_r'].resampled(128)
+bottom = mpl.colormaps['Blues'].resampled(128)
+
+newcolors = np.vstack((top(np.linspace(0, 1, 128)),
+                       bottom(np.linspace(0, 1, 128))))
+newcmp = ListedColormap(newcolors, name='OrangeBlue')
+plot_examples([viridis, newcmp])
+
+# %%
+# Of course we need not start from a named colormap, we just need to create
+# the (N, 4) array to pass to `.ListedColormap`. Here we create a colormap that
+# goes from brown (RGB: 90, 40, 40) to white (RGB: 255, 255, 255).
+
+N = 256
+vals = np.ones((N, 4))
+vals[:, 0] = np.linspace(90/256, 1, N)
+vals[:, 1] = np.linspace(40/256, 1, N)
+vals[:, 2] = np.linspace(40/256, 1, N)
+newcmp = ListedColormap(vals)
+plot_examples([viridis, newcmp])
+
+# %%
+# Creating linear segmented colormaps
+# ===================================
+#
+# The `.LinearSegmentedColormap` class specifies colormaps using anchor points
+# between which RGB(A) values are interpolated.
+#
+# The format to specify these colormaps allows discontinuities at the anchor
+# points. Each anchor point is specified as a row in a matrix of the
+# form ``[x[i] yleft[i] yright[i]]``, where ``x[i]`` is the anchor, and
+# ``yleft[i]`` and ``yright[i]`` are the values of the color on either
+# side of the anchor point.
+#
+# If there are no discontinuities, then ``yleft[i] == yright[i]``:
+
+cdict = {'red':   [[0.0,  0.0, 0.0],
+                   [0.5,  1.0, 1.0],
+                   [1.0,  1.0, 1.0]],
+         'green': [[0.0,  0.0, 0.0],
+                   [0.25, 0.0, 0.0],
+                   [0.75, 1.0, 1.0],
+                   [1.0,  1.0, 1.0]],
+         'blue':  [[0.0,  0.0, 0.0],
+                   [0.5,  0.0, 0.0],
+                   [1.0,  1.0, 1.0]]}
+
+
+def plot_linearmap(cdict):
+    newcmp = LinearSegmentedColormap('testCmap', segmentdata=cdict, N=256)
+    rgba = newcmp(np.linspace(0, 1, 256))
+    fig, ax = plt.subplots(figsize=(4, 3), layout='constrained')
+    col = ['r', 'g', 'b']
+    for xx in [0.25, 0.5, 0.75]:
+        ax.axvline(xx, color='0.7', linestyle='--')
+    for i in range(3):
+        ax.plot(np.arange(256)/256, rgba[:, i], color=col[i])
+    ax.set_xlabel('index')
+    ax.set_ylabel('RGB')
+    plt.show()
+
+plot_linearmap(cdict)
+
+# %%
+# In order to make a discontinuity at an anchor point, the third column is
+# different than the second.  The matrix for each of "red", "green", "blue",
+# and optionally "alpha" is set up as::
+#
+#   cdict['red'] = [...
+#                   [x[i]      yleft[i]     yright[i]],
+#                   [x[i+1]    yleft[i+1]   yright[i+1]],
+#                  ...]
+#
+# and for values passed to the colormap between ``x[i]`` and ``x[i+1]``,
+# the interpolation is between ``yright[i]`` and ``yleft[i+1]``.
+#
+# In the example below there is a discontinuity in red at 0.5.  The
+# interpolation between 0 and 0.5 goes from 0.3 to 1, and between 0.5 and 1
+# it goes from 0.9 to 1.  Note that ``red[0, 1]``, and ``red[2, 2]`` are both
+# superfluous to the interpolation because ``red[0, 1]`` (i.e., ``yleft[0]``)
+# is the value to the left of 0, and ``red[2, 2]`` (i.e., ``yright[2]``) is the
+# value to the right of 1, which are outside the color mapping domain.
+
+cdict['red'] = [[0.0,  0.0, 0.3],
+                [0.5,  1.0, 0.9],
+                [1.0,  1.0, 1.0]]
+plot_linearmap(cdict)
+
+# %%
+# Directly creating a segmented colormap from a list
+# --------------------------------------------------
+#
+# The approach described above is very versatile, but admittedly a bit
+# cumbersome to implement. For some basic cases, the use of
+# `.LinearSegmentedColormap.from_list` may be easier. This creates a segmented
+# colormap with equal spacings from a supplied list of colors.
+
+colors = ["darkorange", "gold", "lawngreen", "lightseagreen"]
+cmap1 = LinearSegmentedColormap.from_list("mycmap", colors)
+
+# %%
+# If desired, the nodes of the colormap can be given as numbers between 0 and
+# 1. For example, one could have the reddish part take more space in the
+# colormap.
+
+nodes = [0.0, 0.4, 0.8, 1.0]
+cmap2 = LinearSegmentedColormap.from_list("mycmap", list(zip(nodes, colors)))
+
+plot_examples([cmap1, cmap2])
+
+# %%
+# .. _reversing-colormap:
+#
+# Reversing a colormap
+# ====================
+#
+# `.Colormap.reversed` creates a new colormap that is a reversed version of
+# the original colormap.
+
+colors = ["#ffffcc", "#a1dab4", "#41b6c4", "#2c7fb8", "#253494"]
+my_cmap = ListedColormap(colors, name="my_cmap")
+
+my_cmap_r = my_cmap.reversed()
+
+plot_examples([my_cmap, my_cmap_r])
+# %%
+# If no name is passed in, ``.reversed`` also names the copy by
+# :ref:`appending '_r' <registering-colormap>` to the original colormap's
+# name.
+
+# %%
+# .. _registering-colormap:
+#
+# Registering a colormap
+# ======================
+#
+# Colormaps can be added to the `matplotlib.colormaps` list of named colormaps.
+# This allows the colormaps to be accessed by name in plotting functions:
+
+# my_cmap, my_cmap_r from reversing a colormap
+mpl.colormaps.register(cmap=my_cmap)
+mpl.colormaps.register(cmap=my_cmap_r)
+
+data = [[1, 2, 3, 4, 5]]
+
+fig, (ax1, ax2) = plt.subplots(nrows=2)
+
+ax1.imshow(data, cmap='my_cmap')
+ax2.imshow(data, cmap='my_cmap_r')
+
+plt.show()
+
+# %%
+#
+# .. admonition:: References
+#
+#    The use of the following functions, methods, classes and modules is shown
+#    in this example:
+#
+#    - `matplotlib.axes.Axes.pcolormesh`
+#    - `matplotlib.figure.Figure.colorbar`
+#    - `matplotlib.colors`
+#    - `matplotlib.colors.LinearSegmentedColormap`
+#    - `matplotlib.colors.ListedColormap`
+#    - `matplotlib.cm`
+#    - `matplotlib.colormaps`
diff --git a/galleries/users_explain/colors/colormapnorms.py b/galleries/users_explain/colors/colormapnorms.py
new file mode 100644
index 000000000000..af50cef357b3
--- /dev/null
+++ b/galleries/users_explain/colors/colormapnorms.py
@@ -0,0 +1,348 @@
+"""
+
+.. redirect-from:: /tutorials/colors/colormapnorms
+
+.. _colormapnorms:
+
+Colormap normalization
+======================
+
+Objects that use colormaps by default linearly map the colors in the
+colormap from data values *vmin* to *vmax*.  For example::
+
+    pcm = ax.pcolormesh(x, y, Z, vmin=-1., vmax=1., cmap='RdBu_r')
+
+will map the data in *Z* linearly from -1 to +1, so *Z=0* will
+give a color at the center of the colormap *RdBu_r* (white in this
+case).
+
+Matplotlib does this mapping in two steps, with a normalization from
+the input data to [0, 1] occurring first, and then mapping onto the
+indices in the colormap.  Normalizations are classes defined in the
+:func:`matplotlib.colors` module.  The default, linear normalization
+is :func:`matplotlib.colors.Normalize`.
+
+Artists that map data to color pass the arguments *vmin* and *vmax* to
+construct a :func:`matplotlib.colors.Normalize` instance, then call it:
+
+.. code-block:: pycon
+
+   >>> import matplotlib as mpl
+   >>> norm = mpl.colors.Normalize(vmin=-1, vmax=1)
+   >>> norm(0)
+   0.5
+
+However, there are sometimes cases where it is useful to map data to
+colormaps in a non-linear fashion.
+
+Logarithmic
+-----------
+
+One of the most common transformations is to plot data by taking its logarithm
+(to the base-10).  This transformation is useful to display changes across
+disparate scales.  Using `.colors.LogNorm` normalizes the data via
+:math:`log_{10}`.  In the example below, there are two bumps, one much smaller
+than the other. Using `.colors.LogNorm`, the shape and location of each bump
+can clearly be seen:
+
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib.cbook as cbook
+import matplotlib.colors as colors
+
+N = 100
+X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
+
+# A low hump with a spike coming out of the top right.  Needs to have
+# z/colour axis on a log scale, so we see both hump and spike. A linear
+# scale only shows the spike.
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
+Z = Z1 + 50 * Z2
+
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolor(X, Y, Z,
+                   norm=colors.LogNorm(vmin=Z.min(), vmax=Z.max()),
+                   cmap='PuBu_r', shading='auto')
+fig.colorbar(pcm, ax=ax[0], extend='max')
+
+pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r', shading='auto')
+fig.colorbar(pcm, ax=ax[1], extend='max')
+plt.show()
+
+# %%
+# Centered
+# --------
+#
+# In many cases, data is symmetrical around a center, for example, positive and
+# negative anomalies around a center 0. In this case, we would like the center
+# to be mapped to 0.5 and the datapoint with the largest deviation from the
+# center to be mapped to 1.0, if its value is greater than the center, or 0.0
+# otherwise. The norm `.colors.CenteredNorm` creates such a mapping
+# automatically. It is well suited to be combined with a divergent colormap
+# which uses different colors edges that meet in the center at an unsaturated
+# color.
+#
+# If the center of symmetry is different from 0, it can be set with the
+# *vcenter* argument. For logarithmic scaling on both sides of the center, see
+# `.colors.SymLogNorm` below; to apply a different mapping above and below the
+# center, use `.colors.TwoSlopeNorm` below.
+
+delta = 0.1
+x = np.arange(-3.0, 4.001, delta)
+y = np.arange(-4.0, 3.001, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (0.9*Z1 - 0.5*Z2) * 2
+
+# select a divergent colormap
+cmap = "coolwarm"
+
+fig, (ax1, ax2) = plt.subplots(ncols=2)
+pc = ax1.pcolormesh(Z, cmap=cmap)
+fig.colorbar(pc, ax=ax1)
+ax1.set_title('Normalize()')
+
+pc = ax2.pcolormesh(Z, norm=colors.CenteredNorm(), cmap=cmap)
+fig.colorbar(pc, ax=ax2)
+ax2.set_title('CenteredNorm()')
+
+plt.show()
+
+# %%
+# Symmetric logarithmic
+# ---------------------
+#
+# Similarly, it sometimes happens that there is data that is positive
+# and negative, but we would still like a logarithmic scaling applied to
+# both.  In this case, the negative numbers are also scaled
+# logarithmically, and mapped to smaller numbers; e.g., if ``vmin=-vmax``,
+# then the negative numbers are mapped from 0 to 0.5 and the
+# positive from 0.5 to 1.
+#
+# Since the logarithm of values close to zero tends toward infinity, a
+# small range around zero needs to be mapped linearly.  The parameter
+# *linthresh* allows the user to specify the size of this range
+# (-*linthresh*, *linthresh*).  The size of this range in the colormap is
+# set by *linscale*.  When *linscale* == 1.0 (the default), the space used
+# for the positive and negative halves of the linear range will be equal
+# to one decade in the logarithmic range.
+
+N = 100
+X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = (Z1 - Z2) * 2
+
+fig, ax = plt.subplots(2, 1)
+
+pcm = ax[0].pcolormesh(X, Y, Z,
+                       norm=colors.SymLogNorm(linthresh=0.03, linscale=0.03,
+                                              vmin=-1.0, vmax=1.0, base=10),
+                       cmap='RdBu_r', shading='auto')
+fig.colorbar(pcm, ax=ax[0], extend='both')
+
+pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z), shading='auto')
+fig.colorbar(pcm, ax=ax[1], extend='both')
+plt.show()
+
+# %%
+# Power-law
+# ---------
+#
+# Sometimes it is useful to remap the colors onto a power-law
+# relationship (i.e. :math:`y=x^{\gamma}`, where :math:`\gamma` is the
+# power).  For this we use the `.colors.PowerNorm`.  It takes as an
+# argument *gamma* (*gamma* == 1.0 will just yield the default linear
+# normalization):
+#
+# .. note::
+#
+#    There should probably be a good reason for plotting the data using
+#    this type of transformation.  Technical viewers are used to linear
+#    and logarithmic axes and data transformations.  Power laws are less
+#    common, and viewers should explicitly be made aware that they have
+#    been used.
+
+N = 100
+X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
+Z1 = (1 + np.sin(Y * 10.)) * X**2
+
+fig, ax = plt.subplots(2, 1, layout='constrained')
+
+pcm = ax[0].pcolormesh(X, Y, Z1, norm=colors.PowerNorm(gamma=0.5),
+                       cmap='PuBu_r', shading='auto')
+fig.colorbar(pcm, ax=ax[0], extend='max')
+ax[0].set_title('PowerNorm()')
+
+pcm = ax[1].pcolormesh(X, Y, Z1, cmap='PuBu_r', shading='auto')
+fig.colorbar(pcm, ax=ax[1], extend='max')
+ax[1].set_title('Normalize()')
+plt.show()
+
+# %%
+# Discrete bounds
+# ---------------
+#
+# Another normalization that comes with Matplotlib is `.colors.BoundaryNorm`.
+# In addition to *vmin* and *vmax*, this takes as arguments boundaries between
+# which data is to be mapped.  The colors are then linearly distributed between
+# these "bounds".  It can also take an *extend* argument to add upper and/or
+# lower out-of-bounds values to the range over which the colors are
+# distributed. For instance:
+#
+# .. code-block:: pycon
+#
+#   >>> import matplotlib.colors as colors
+#   >>> bounds = np.array([-0.25, -0.125, 0, 0.5, 1])
+#   >>> norm = colors.BoundaryNorm(boundaries=bounds, ncolors=4)
+#   >>> print(norm([-0.2, -0.15, -0.02, 0.3, 0.8, 0.99]))
+#   [0 0 1 2 3 3]
+#
+# Note: Unlike the other norms, this norm returns values from 0 to *ncolors*-1.
+
+N = 100
+X, Y = np.meshgrid(np.linspace(-3, 3, N), np.linspace(-2, 2, N))
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = ((Z1 - Z2) * 2)[:-1, :-1]
+
+fig, ax = plt.subplots(2, 2, figsize=(8, 6), layout='constrained')
+ax = ax.flatten()
+
+# Default norm:
+pcm = ax[0].pcolormesh(X, Y, Z, cmap='RdBu_r')
+fig.colorbar(pcm, ax=ax[0], orientation='vertical')
+ax[0].set_title('Default norm')
+
+# Even bounds give a contour-like effect:
+bounds = np.linspace(-1.5, 1.5, 7)
+norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
+pcm = ax[1].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r')
+fig.colorbar(pcm, ax=ax[1], extend='both', orientation='vertical')
+ax[1].set_title('BoundaryNorm: 7 boundaries')
+
+# Bounds may be unevenly spaced:
+bounds = np.array([-0.2, -0.1, 0, 0.5, 1])
+norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
+pcm = ax[2].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r')
+fig.colorbar(pcm, ax=ax[2], extend='both', orientation='vertical')
+ax[2].set_title('BoundaryNorm: nonuniform')
+
+# With out-of-bounds colors:
+bounds = np.linspace(-1.5, 1.5, 7)
+norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256, extend='both')
+pcm = ax[3].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r')
+# The colorbar inherits the "extend" argument from BoundaryNorm.
+fig.colorbar(pcm, ax=ax[3], orientation='vertical')
+ax[3].set_title('BoundaryNorm: extend="both"')
+plt.show()
+
+# %%
+# TwoSlopeNorm: Different mapping on either side of a center
+# ----------------------------------------------------------
+#
+# Sometimes we want to have a different colormap on either side of a
+# conceptual center point, and we want those two colormaps to have
+# different linear scales.  An example is a topographic map where the land
+# and ocean have a center at zero, but land typically has a greater
+# elevation range than the water has depth range, and they are often
+# represented by a different colormap.
+
+dem = cbook.get_sample_data('topobathy.npz')
+topo = dem['topo']
+longitude = dem['longitude']
+latitude = dem['latitude']
+
+fig, ax = plt.subplots()
+# make a colormap that has land and ocean clearly delineated and of the
+# same length (256 + 256)
+colors_undersea = plt.colormaps["terrain"](np.linspace(0, 0.17, 256))
+colors_land = plt.colormaps["terrain"](np.linspace(0.25, 1, 256))
+all_colors = np.vstack((colors_undersea, colors_land))
+terrain_map = colors.LinearSegmentedColormap.from_list(
+    'terrain_map', all_colors)
+
+# make the norm:  Note the center is offset so that the land has more
+# dynamic range:
+divnorm = colors.TwoSlopeNorm(vmin=-500., vcenter=0, vmax=4000)
+
+pcm = ax.pcolormesh(longitude, latitude, topo, rasterized=True, norm=divnorm,
+                    cmap=terrain_map, shading='auto')
+# Simple geographic plot, set aspect ratio because distance between lines of
+# longitude depends on latitude.
+ax.set_aspect(1 / np.cos(np.deg2rad(49)))
+ax.set_title('TwoSlopeNorm(x)')
+cb = fig.colorbar(pcm, shrink=0.6)
+cb.set_ticks([-500, 0, 1000, 2000, 3000, 4000])
+plt.show()
+
+
+# %%
+# FuncNorm: Arbitrary function normalization
+# ------------------------------------------
+#
+# If the above norms do not provide the normalization you want, you can use
+# `~.colors.FuncNorm` to define your own.  Note that this example is the same
+# as `~.colors.PowerNorm` with a power of 0.5:
+
+def _forward(x):
+    return np.sqrt(x)
+
+
+def _inverse(x):
+    return x**2
+
+N = 100
+X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
+Z1 = (1 + np.sin(Y * 10.)) * X**2
+fig, ax = plt.subplots()
+
+norm = colors.FuncNorm((_forward, _inverse), vmin=0, vmax=20)
+pcm = ax.pcolormesh(X, Y, Z1, norm=norm, cmap='PuBu_r', shading='auto')
+ax.set_title('FuncNorm(x)')
+fig.colorbar(pcm, shrink=0.6)
+plt.show()
+
+# %%
+# Custom normalization: Manually implement two linear ranges
+# ----------------------------------------------------------
+#
+# The `.TwoSlopeNorm` described above makes a useful example for
+# defining your own norm.  Note for the colorbar to work, you must
+# define an inverse for your norm:
+
+
+class MidpointNormalize(colors.Normalize):
+    def __init__(self, vmin=None, vmax=None, vcenter=None, clip=False):
+        self.vcenter = vcenter
+        super().__init__(vmin, vmax, clip)
+
+    def __call__(self, value, clip=None):
+        # I'm ignoring masked values and all kinds of edge cases to make a
+        # simple example...
+        # Note also that we must extrapolate beyond vmin/vmax
+        x, y = [self.vmin, self.vcenter, self.vmax], [0, 0.5, 1.]
+        return np.ma.masked_array(np.interp(value, x, y,
+                                            left=-np.inf, right=np.inf))
+
+    def inverse(self, value):
+        y, x = [self.vmin, self.vcenter, self.vmax], [0, 0.5, 1]
+        return np.interp(value, x, y, left=-np.inf, right=np.inf)
+
+
+fig, ax = plt.subplots()
+midnorm = MidpointNormalize(vmin=-500., vcenter=0, vmax=4000)
+
+pcm = ax.pcolormesh(longitude, latitude, topo, rasterized=True, norm=midnorm,
+                    cmap=terrain_map, shading='auto')
+ax.set_aspect(1 / np.cos(np.deg2rad(49)))
+ax.set_title('Custom norm')
+cb = fig.colorbar(pcm, shrink=0.6, extend='both')
+cb.set_ticks([-500, 0, 1000, 2000, 3000, 4000])
+
+plt.show()
diff --git a/galleries/users_explain/colors/colormaps.py b/galleries/users_explain/colors/colormaps.py
new file mode 100644
index 000000000000..026ffc9922e2
--- /dev/null
+++ b/galleries/users_explain/colors/colormaps.py
@@ -0,0 +1,449 @@
+"""
+.. redirect-from:: /tutorials/colors/colormaps
+
+.. _colormaps:
+
+********************************
+Choosing Colormaps in Matplotlib
+********************************
+
+Matplotlib has a number of built-in colormaps accessible via
+`.matplotlib.colormaps`.  There are also external libraries that
+have many extra colormaps, which can be viewed in the
+`Third-party colormaps`_ section of the Matplotlib documentation.
+Here we briefly discuss how to choose between the many options.  For
+help on creating your own colormaps, see
+:ref:`colormap-manipulation`.
+
+To get a list of all registered colormaps, you can do::
+
+    from matplotlib import colormaps
+    list(colormaps)
+
+Overview
+========
+
+The idea behind choosing a good colormap is to find a good representation in 3D
+colorspace for your data set. The best colormap for any given data set depends
+on many things including:
+
+- Whether representing form or metric data ([Ware]_)
+
+- Your knowledge of the data set (*e.g.*, is there a critical value
+  from which the other values deviate?)
+
+- If there is an intuitive color scheme for the parameter you are plotting
+
+- If there is a standard in the field the audience may be expecting
+
+For many applications, a perceptually uniform colormap is the best choice;
+i.e. a colormap in which equal steps in data are perceived as equal
+steps in the color space. Researchers have found that the human brain
+perceives changes in the lightness parameter as changes in the data
+much better than, for example, changes in hue. Therefore, colormaps
+which have monotonically increasing lightness through the colormap
+will be better interpreted by the viewer. Wonderful examples of
+perceptually uniform colormaps can be found in the
+`Third-party colormaps`_ section as well.
+
+Color can be represented in 3D space in various ways. One way to represent color
+is using CIELAB. In CIELAB, color space is represented by lightness,
+:math:`L^*`; red-green, :math:`a^*`; and yellow-blue, :math:`b^*`. The lightness
+parameter :math:`L^*` can then be used to learn more about how the matplotlib
+colormaps will be perceived by viewers.
+
+An excellent starting resource for learning about human perception of colormaps
+is from [IBM]_.
+
+
+.. _color-colormaps_reference:
+
+Classes of colormaps
+====================
+
+Colormaps are often split into several categories based on their function (see,
+*e.g.*, [Moreland]_):
+
+1. Sequential: change in lightness and often saturation of color
+   incrementally, often using a single hue; should be used for
+   representing information that has ordering.
+
+2. Diverging: change in lightness and possibly saturation of two
+   different colors that meet in the middle at an unsaturated color;
+   should be used when the information being plotted has a critical
+   middle value, such as topography or when the data deviates around
+   zero.
+
+3. Cyclic: change in lightness of two different colors that meet in
+   the middle and beginning/end at an unsaturated color; should be
+   used for values that wrap around at the endpoints, such as phase
+   angle, wind direction, or time of day.
+
+4. Qualitative: often are miscellaneous colors; should be used to
+   represent information which does not have ordering or
+   relationships.
+"""
+
+# sphinx_gallery_thumbnail_number = 2
+
+from colorspacious import cspace_converter
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+# %%
+#
+# First, we'll show the range of each colormap. Note that some seem
+# to change more "quickly" than others.
+
+cmaps = {}
+
+gradient = np.linspace(0, 1, 256)
+gradient = np.vstack((gradient, gradient))
+
+
+def plot_color_gradients(category, cmap_list):
+    # Create figure and adjust figure height to number of colormaps
+    nrows = len(cmap_list)
+    figh = 0.35 + 0.15 + (nrows + (nrows - 1) * 0.1) * 0.22
+    fig, axs = plt.subplots(nrows=nrows + 1, figsize=(6.4, figh))
+    fig.subplots_adjust(top=1 - 0.35 / figh, bottom=0.15 / figh,
+                        left=0.2, right=0.99)
+    axs[0].set_title(f'{category} colormaps', fontsize=14)
+
+    for ax, name in zip(axs, cmap_list):
+        ax.imshow(gradient, aspect='auto', cmap=mpl.colormaps[name])
+        ax.text(-0.01, 0.5, name, va='center', ha='right', fontsize=10,
+                transform=ax.transAxes)
+
+    # Turn off *all* ticks & spines, not just the ones with colormaps.
+    for ax in axs:
+        ax.set_axis_off()
+
+    # Save colormap list for later.
+    cmaps[category] = cmap_list
+
+
+# %%
+# Sequential
+# ----------
+#
+# For the Sequential plots, the lightness value increases monotonically through
+# the colormaps. This is good. Some of the :math:`L^*` values in the colormaps
+# span from 0 to 100 (binary and the other grayscale), and others start around
+# :math:`L^*=20`. Those that have a smaller range of :math:`L^*` will accordingly
+# have a smaller perceptual range. Note also that the :math:`L^*` function varies
+# amongst the colormaps: some are approximately linear in :math:`L^*` and others
+# are more curved.
+
+plot_color_gradients('Perceptually Uniform Sequential',
+                     ['viridis', 'plasma', 'inferno', 'magma', 'cividis'])
+
+# %%
+
+plot_color_gradients('Sequential',
+                     ['Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds',
+                      'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu',
+                      'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn'])
+
+# %%
+# Sequential2
+# -----------
+#
+# Many of the :math:`L^*` values from the Sequential2 plots are monotonically
+# increasing, but some (autumn, cool, spring, and winter) plateau or even go both
+# up and down in :math:`L^*` space. Others (afmhot, copper, gist_heat, and hot)
+# have kinks in the :math:`L^*` functions. Data that is being represented in a
+# region of the colormap that is at a plateau or kink will lead to a perception of
+# banding of the data in those values in the colormap (see [mycarta-banding]_ for
+# an excellent example of this).
+
+plot_color_gradients('Sequential (2)',
+                     ['binary', 'gist_yarg', 'gist_gray', 'gray', 'bone',
+                      'pink', 'spring', 'summer', 'autumn', 'winter', 'cool',
+                      'Wistia', 'hot', 'afmhot', 'gist_heat', 'copper'])
+
+# %%
+# Diverging
+# ---------
+#
+# For the Diverging maps, we want to have monotonically increasing :math:`L^*`
+# values up to a maximum, which should be close to :math:`L^*=100`, followed by
+# monotonically decreasing :math:`L^*` values. We are looking for approximately
+# equal minimum :math:`L^*` values at opposite ends of the colormap. By these
+# measures, BrBG and RdBu are good options. coolwarm is a good option, but it
+# doesn't span a wide range of :math:`L^*` values (see grayscale section below).
+#
+# Berlin, Managua, and Vanimo are dark-mode diverging colormaps, with minimum
+# lightness at the center, and maximum at the extremes. These are taken from
+# F. Crameri's [scientific-colour-maps]_ version 8.0.1.
+
+plot_color_gradients('Diverging',
+                     ['PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu', 'RdYlBu',
+                      'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic',
+                      'berlin', 'managua', 'vanimo'])
+
+# %%
+# Cyclic
+# ------
+#
+# For Cyclic maps, we want to start and end on the same color, and meet a
+# symmetric center point in the middle. :math:`L^*` should change monotonically
+# from start to middle, and inversely from middle to end. It should be symmetric
+# on the increasing and decreasing side, and only differ in hue. At the ends and
+# middle, :math:`L^*` will reverse direction, which should be smoothed in
+# :math:`L^*` space to reduce artifacts. See [kovesi-colormaps]_ for more
+# information on the design of cyclic maps.
+#
+# The often-used HSV colormap is included in this set of colormaps, although it
+# is not symmetric to a center point. Additionally, the :math:`L^*` values vary
+# widely throughout the colormap, making it a poor choice for representing data
+# for viewers to see perceptually. See an extension on this idea at
+# [mycarta-jet]_.
+
+plot_color_gradients('Cyclic', ['twilight', 'twilight_shifted', 'hsv'])
+
+# %%
+# Qualitative
+# -----------
+#
+# Qualitative colormaps are not aimed at being perceptual maps, but looking at the
+# lightness parameter can verify that for us. The :math:`L^*` values move all over
+# the place throughout the colormap, and are clearly not monotonically increasing.
+# These would not be good options for use as perceptual colormaps.
+
+plot_color_gradients('Qualitative',
+                     ['Pastel1', 'Pastel2', 'Paired', 'Accent', 'Dark2',
+                      'Set1', 'Set2', 'Set3', 'tab10', 'tab20', 'tab20b',
+                      'tab20c'])
+
+# %%
+# Miscellaneous
+# -------------
+#
+# Some of the miscellaneous colormaps have particular uses for which
+# they have been created. For example, gist_earth, ocean, and terrain
+# all seem to be created for plotting topography (green/brown) and water
+# depths (blue) together. We would expect to see a divergence in these
+# colormaps, then, but multiple kinks may not be ideal, such as in
+# gist_earth and terrain. CMRmap was created to convert well to
+# grayscale, though it does appear to have some small kinks in
+# :math:`L^*`.  cubehelix was created to vary smoothly in both lightness
+# and hue, but appears to have a small hump in the green hue area. turbo
+# was created to display depth and disparity data.
+#
+# The often-used jet colormap is included in this set of colormaps. We can see
+# that the :math:`L^*` values vary widely throughout the colormap, making it a
+# poor choice for representing data for viewers to see perceptually. See an
+# extension on this idea at [mycarta-jet]_ and [turbo]_.
+
+
+plot_color_gradients('Miscellaneous',
+                     ['flag', 'prism', 'ocean', 'gist_earth', 'terrain',
+                      'gist_stern', 'gnuplot', 'gnuplot2', 'CMRmap',
+                      'cubehelix', 'brg', 'gist_rainbow', 'rainbow', 'jet',
+                      'turbo', 'nipy_spectral', 'gist_ncar'])
+
+plt.show()
+
+# %%
+# Lightness of Matplotlib colormaps
+# =================================
+#
+# Here we examine the lightness values of the matplotlib colormaps.
+# Note that some documentation on the colormaps is available
+# ([list-colormaps]_).
+
+mpl.rcParams.update({'font.size': 12})
+
+# Number of colormap per subplot for particular cmap categories
+_DSUBS = {'Perceptually Uniform Sequential': 5, 'Sequential': 6,
+          'Sequential (2)': 6, 'Diverging': 6, 'Cyclic': 3,
+          'Qualitative': 4, 'Miscellaneous': 6}
+
+# Spacing between the colormaps of a subplot
+_DC = {'Perceptually Uniform Sequential': 1.4, 'Sequential': 0.7,
+       'Sequential (2)': 1.4, 'Diverging': 1.4, 'Cyclic': 1.4,
+       'Qualitative': 1.4, 'Miscellaneous': 1.4}
+
+# Indices to step through colormap
+x = np.linspace(0.0, 1.0, 100)
+
+# Do plot
+for cmap_category, cmap_list in cmaps.items():
+
+    # Do subplots so that colormaps have enough space.
+    # Default is 6 colormaps per subplot.
+    dsub = _DSUBS.get(cmap_category, 6)
+    nsubplots = int(np.ceil(len(cmap_list) / dsub))
+
+    # squeeze=False to handle similarly the case of a single subplot
+    fig, axs = plt.subplots(nrows=nsubplots, squeeze=False,
+                            figsize=(7, 2.6*nsubplots))
+
+    for i, ax in enumerate(axs.flat):
+
+        locs = []  # locations for text labels
+
+        for j, cmap in enumerate(cmap_list[i*dsub:(i+1)*dsub]):
+
+            # Get RGB values for colormap and convert the colormap in
+            # CAM02-UCS colorspace.  lab[0, :, 0] is the lightness.
+            rgb = mpl.colormaps[cmap](x)[np.newaxis, :, :3]
+            lab = cspace_converter("sRGB1", "CAM02-UCS")(rgb)
+
+            # Plot colormap L values.  Do separately for each category
+            # so each plot can be pretty.  To make scatter markers change
+            # color along plot:
+            # https://stackoverflow.com/q/8202605/
+
+            if cmap_category == 'Sequential':
+                # These colormaps all start at high lightness, but we want them
+                # reversed to look nice in the plot, so reverse the order.
+                y_ = lab[0, ::-1, 0]
+                c_ = x[::-1]
+            else:
+                y_ = lab[0, :, 0]
+                c_ = x
+
+            dc = _DC.get(cmap_category, 1.4)  # cmaps horizontal spacing
+            ax.scatter(x + j*dc, y_, c=c_, cmap=cmap, s=300, linewidths=0.0)
+
+            # Store locations for colormap labels
+            if cmap_category in ('Perceptually Uniform Sequential',
+                                 'Sequential'):
+                locs.append(x[-1] + j*dc)
+            elif cmap_category in ('Diverging', 'Qualitative', 'Cyclic',
+                                   'Miscellaneous', 'Sequential (2)'):
+                locs.append(x[int(x.size/2.)] + j*dc)
+
+        # Set up the axis limits:
+        #   * the 1st subplot is used as a reference for the x-axis limits
+        #   * lightness values goes from 0 to 100 (y-axis limits)
+        ax.set_xlim(axs[0, 0].get_xlim())
+        ax.set_ylim(0.0, 100.0)
+
+        # Set up labels for colormaps
+        ax.xaxis.set_ticks_position('top')
+        ticker = mpl.ticker.FixedLocator(locs)
+        ax.xaxis.set_major_locator(ticker)
+        formatter = mpl.ticker.FixedFormatter(cmap_list[i*dsub:(i+1)*dsub])
+        ax.xaxis.set_major_formatter(formatter)
+        ax.xaxis.set_tick_params(rotation=50)
+        ax.set_ylabel('Lightness $L^*$', fontsize=12)
+
+    ax.set_xlabel(cmap_category + ' colormaps', fontsize=14)
+
+    fig.tight_layout(h_pad=0.0, pad=1.5)
+    plt.show()
+
+
+# %%
+# Grayscale conversion
+# ====================
+#
+# It is important to pay attention to conversion to grayscale for color
+# plots, since they may be printed on black and white printers.  If not
+# carefully considered, your readers may end up with indecipherable
+# plots because the grayscale changes unpredictably through the
+# colormap.
+#
+# Conversion to grayscale is done in many different ways [bw]_. Some of the
+# better ones use a linear combination of the rgb values of a pixel, but
+# weighted according to how we perceive color intensity. A nonlinear method of
+# conversion to grayscale is to use the :math:`L^*` values of the pixels. In
+# general, similar principles apply for this question as they do for presenting
+# one's information perceptually; that is, if a colormap is chosen that is
+# monotonically increasing in :math:`L^*` values, it will print in a reasonable
+# manner to grayscale.
+#
+# With this in mind, we see that the Sequential colormaps have reasonable
+# representations in grayscale. Some of the Sequential2 colormaps have decent
+# enough grayscale representations, though some (autumn, spring, summer,
+# winter) have very little grayscale change. If a colormap like this was used
+# in a plot and then the plot was printed to grayscale, a lot of the
+# information may map to the same gray values. The Diverging colormaps mostly
+# vary from darker gray on the outer edges to white in the middle. Some
+# (PuOr and seismic) have noticeably darker gray on one side than the other
+# and therefore are not very symmetric. coolwarm has little range of gray scale
+# and would print to a more uniform plot, losing a lot of detail. Note that
+# overlaid, labeled contours could help differentiate between one side of the
+# colormap vs. the other since color cannot be used once a plot is printed to
+# grayscale. Many of the Qualitative and Miscellaneous colormaps, such as
+# Accent, hsv, jet and turbo, change from darker to lighter and back to darker
+# grey throughout the colormap. This would make it impossible for a viewer to
+# interpret the information in a plot once it is printed in grayscale.
+
+mpl.rcParams.update({'font.size': 14})
+
+# Indices to step through colormap.
+x = np.linspace(0.0, 1.0, 100)
+
+gradient = np.linspace(0, 1, 256)
+gradient = np.vstack((gradient, gradient))
+
+
+def plot_color_gradients(cmap_category, cmap_list):
+    fig, axs = plt.subplots(nrows=len(cmap_list), ncols=2)
+    fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99,
+                        wspace=0.05)
+    fig.suptitle(cmap_category + ' colormaps', fontsize=14, y=1.0, x=0.6)
+
+    for ax, name in zip(axs, cmap_list):
+
+        # Get RGB values for colormap.
+        rgb = mpl.colormaps[name](x)[np.newaxis, :, :3]
+
+        # Get colormap in CAM02-UCS colorspace. We want the lightness.
+        lab = cspace_converter("sRGB1", "CAM02-UCS")(rgb)
+        L = lab[0, :, 0]
+        L = np.float32(np.vstack((L, L, L)))
+
+        ax[0].imshow(gradient, aspect='auto', cmap=mpl.colormaps[name])
+        ax[1].imshow(L, aspect='auto', cmap='binary_r', vmin=0., vmax=100.)
+        pos = list(ax[0].get_position().bounds)
+        x_text = pos[0] - 0.01
+        y_text = pos[1] + pos[3]/2.
+        fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10)
+
+    # Turn off *all* ticks & spines, not just the ones with colormaps.
+    for ax in axs.flat:
+        ax.set_axis_off()
+
+    plt.show()
+
+
+for cmap_category, cmap_list in cmaps.items():
+
+    plot_color_gradients(cmap_category, cmap_list)
+
+# %%
+# Color vision deficiencies
+# =========================
+#
+# There is a lot of information available about color blindness (*e.g.*,
+# [colorblindness]_). Additionally, there are tools available to convert images
+# to how they look for different types of color vision deficiencies.
+#
+# The most common form of color vision deficiency involves differentiating
+# between red and green. Thus, avoiding colormaps with both red and green will
+# avoid many problems in general.
+#
+#
+# References
+# ==========
+#
+# .. _Third-party colormaps: https://matplotlib.org/mpl-third-party/#colormaps-and-styles
+# .. [Ware] http://ccom.unh.edu/sites/default/files/publications/Ware_1988_CGA_Color_sequences_univariate_maps.pdf
+# .. [Moreland] http://www.kennethmoreland.com/color-maps/ColorMapsExpanded.pdf
+# .. [list-colormaps] https://gist.github.com/endolith/2719900#id7
+# .. [mycarta-banding] https://mycarta.wordpress.com/2012/10/14/the-rainbow-is-deadlong-live-the-rainbow-part-4-cie-lab-heated-body/
+# .. [mycarta-jet] https://mycarta.wordpress.com/2012/10/06/the-rainbow-is-deadlong-live-the-rainbow-part-3/
+# .. [kovesi-colormaps] https://arxiv.org/abs/1509.03700
+# .. [bw] https://tannerhelland.com/3643/grayscale-image-algorithm-vb6/
+# .. [colorblindness] http://www.color-blindness.com/
+# .. [IBM] https://doi.org/10.1109/VISUAL.1995.480803
+# .. [turbo] https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html
+# .. [scientific-colour-maps] https://doi.org/10.5281/zenodo.1243862
diff --git a/galleries/users_explain/colors/colors.py b/galleries/users_explain/colors/colors.py
new file mode 100644
index 000000000000..c91a5fcb0dbe
--- /dev/null
+++ b/galleries/users_explain/colors/colors.py
@@ -0,0 +1,235 @@
+"""
+.. redirect-from:: /tutorials/colors/colors
+
+.. _colors_def:
+
+*****************
+Specifying colors
+*****************
+
+Color formats
+=============
+
+Matplotlib recognizes the following formats to specify a color.
+
++--------------------------------------+--------------------------------------+
+| Format                               | Example                              |
++======================================+======================================+
+| RGB or RGBA (red, green, blue, alpha)| - ``(0.1, 0.2, 0.5)``                |
+| tuple of float values in a closed    | - ``(0.1, 0.2, 0.5, 0.3)``           |
+| interval [0, 1].                     |                                      |
++--------------------------------------+--------------------------------------+
+| Case-insensitive hex RGB or RGBA     | - ``'#0f0f0f'``                      |
+| string.                              | - ``'#0f0f0f80'``                    |
++--------------------------------------+--------------------------------------+
+| Case-insensitive RGB or RGBA string  | - ``'#abc'`` as ``'#aabbcc'``        |
+| equivalent hex shorthand of          | - ``'#fb1'`` as ``'#ffbb11'``        |
+| duplicated characters.               |                                      |
++--------------------------------------+--------------------------------------+
+| String representation of float value | - ``'0'`` as black                   |
+| in closed interval ``[0, 1]`` for    | - ``'1'`` as white                   |
+| grayscale values.                    | - ``'0.8'`` as light gray            |
++--------------------------------------+--------------------------------------+
+| Single character shorthand notation  | - ``'b'`` as blue                    |
+| for some basic colors.               | - ``'g'`` as green                   |
+|                                      | - ``'r'`` as red                     |
+| .. note::                            | - ``'c'`` as cyan                    |
+|    The colors green, cyan, magenta,  | - ``'m'`` as magenta                 |
+|    and yellow do not coincide with   | - ``'y'`` as yellow                  |
+|    X11/CSS4 colors. Their particular | - ``'k'`` as black                   |
+|    shades were chosen for better     | - ``'w'`` as white                   |
+|    visibility of colored lines       |                                      |
+|    against typical backgrounds.      |                                      |
++--------------------------------------+--------------------------------------+
+| Case-insensitive X11/CSS4 color name | - ``'aquamarine'``                   |
+| with no spaces.                      | - ``'mediumseagreen'``               |
++--------------------------------------+--------------------------------------+
+| Case-insensitive color name from     | - ``'xkcd:sky blue'``                |
+| `xkcd color survey`_ with ``'xkcd:'``| - ``'xkcd:eggshell'``                |
+| prefix.                              |                                      |
++--------------------------------------+--------------------------------------+
+| Case-insensitive Tableau Colors from | - ``'tab:blue'``                     |
+| 'T10' categorical palette.           | - ``'tab:orange'``                   |
+|                                      | - ``'tab:green'``                    |
+|                                      | - ``'tab:red'``                      |
+|                                      | - ``'tab:purple'``                   |
+| .. note:: This is the default color  | - ``'tab:brown'``                    |
+|           cycle.                     | - ``'tab:pink'``                     |
+|                                      | - ``'tab:gray'``                     |
+|                                      | - ``'tab:olive'``                    |
+|                                      | - ``'tab:cyan'``                     |
++--------------------------------------+--------------------------------------+
+| "CN" color spec where ``'C'``        | - ``'C0'``                           |
+| precedes a number acting as an index | - ``'C1'``                           |
+| into the default property cycle.     +--------------------------------------+
+|                                      | :rc:`axes.prop_cycle`                |
+| .. note:: Matplotlib indexes color   |                                      |
+|           at draw time and defaults  |                                      |
+|           to black if cycle does not |                                      |
+|           include color.             |                                      |
++--------------------------------------+--------------------------------------+
+| Tuple of one of the above color      | - ``('green', 0.3)``                 |
+| formats and an alpha float.          | - ``('#f00', 0.9)``                  |
+|                                      |                                      |
+| .. versionadded:: 3.8                |                                      |
++--------------------------------------+--------------------------------------+
+| The special value "none" is fully    | - ``'none'``                         |
+| transparent, i.e. equivalent to a    |                                      |
+| RGBA value ``(0.0, 0.0, 0.0, 0.0)``  |                                      |
++--------------------------------------+--------------------------------------+
+
+.. _xkcd color survey: https://xkcd.com/color/rgb/
+
+.. seealso::
+
+    The following links provide more information on colors in Matplotlib.
+        * :doc:`/gallery/color/color_demo` Example
+        * `matplotlib.colors` API
+        * :doc:`/gallery/color/named_colors` Example
+
+"Red", "Green", and "Blue" are the intensities of those colors. In combination,
+they represent the colorspace.
+
+Transparency
+============
+
+The *alpha* value of a color specifies its transparency, where 0 is fully
+transparent and 1 is fully opaque. When a color is semi-transparent, the
+background color will show through.
+
+The *alpha* value determines the resulting color by blending the
+foreground color with the background color according to the formula
+
+.. math::
+
+   RGB_{result} = RGB_{background} * (1 - \\alpha) + RGB_{foreground} * \\alpha
+
+The following plot illustrates the effect of transparency.
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from matplotlib.patches import Rectangle
+
+fig, ax = plt.subplots(figsize=(6.5, 1.65), layout='constrained')
+ax.add_patch(Rectangle((-0.2, -0.35), 11.2, 0.7, color='C1', alpha=0.8))
+for i, alpha in enumerate(np.linspace(0, 1, 11)):
+    ax.add_patch(Rectangle((i, 0.05), 0.8, 0.6, alpha=alpha, zorder=0))
+    ax.text(i+0.4, 0.85, f"{alpha:.1f}", ha='center')
+    ax.add_patch(Rectangle((i, -0.05), 0.8, -0.6, alpha=alpha, zorder=2))
+ax.set_xlim(-0.2, 13)
+ax.set_ylim(-1, 1)
+ax.set_title('alpha values')
+ax.text(11.3, 0.6, 'zorder=1', va='center', color='C0')
+ax.text(11.3, 0, 'zorder=2\nalpha=0.8', va='center', color='C1')
+ax.text(11.3, -0.6, 'zorder=3', va='center', color='C0')
+ax.axis('off')
+
+
+# %%
+#
+# The orange rectangle is semi-transparent with *alpha* = 0.8. The  top row of
+# blue squares is drawn below and the bottom row of blue squares is drawn on
+# top of the orange rectangle.
+#
+# See also :doc:`/gallery/misc/zorder_demo` to learn more on the drawing order.
+#
+#
+# "CN" color selection
+# ====================
+#
+# Matplotlib converts "CN" colors to RGBA when drawing Artists. The
+# :ref:`color_cycle` section contains additional
+# information about controlling colors and style properties.
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+th = np.linspace(0, 2*np.pi, 128)
+
+
+def demo(sty):
+    mpl.style.use(sty)
+    fig, ax = plt.subplots(figsize=(3, 3))
+
+    ax.set_title(f'style: {sty!r}', color='C0')
+
+    ax.plot(th, np.cos(th), 'C1', label='C1')
+    ax.plot(th, np.sin(th), 'C2', label='C2')
+    ax.legend()
+
+
+demo('default')
+demo('seaborn-v0_8')
+
+# %%
+# The first color ``'C0'`` is the title. Each plot uses the second and third
+# colors of each style's :rc:`axes.prop_cycle`. They are ``'C1'`` and ``'C2'``,
+# respectively.
+#
+# .. _xkcd-colors:
+#
+# Comparison between X11/CSS4 and xkcd colors
+# ===========================================
+#
+# The xkcd colors come from a `user survey conducted by the webcomic xkcd
+# <https://blog.xkcd.com/2010/05/03/color-survey-results/>`__.
+#
+# 95 out of the 148 X11/CSS4 color names also appear in the xkcd color survey.
+# Almost all of them map to different color values in the X11/CSS4 and in
+# the xkcd palette. Only 'black', 'white' and 'cyan' are identical.
+#
+# For example, ``'blue'`` maps to ``'#0000FF'`` whereas ``'xkcd:blue'`` maps to
+# ``'#0343DF'``.  Due to these name collisions, all xkcd colors have the
+# ``'xkcd:'`` prefix.
+#
+# The visual below shows name collisions. Color names where color values agree
+# are in bold.
+
+import matplotlib.colors as mcolors
+import matplotlib.patches as mpatch
+
+overlap = {name for name in mcolors.CSS4_COLORS
+           if f'xkcd:{name}' in mcolors.XKCD_COLORS}
+
+fig = plt.figure(figsize=[9, 5])
+ax = fig.add_axes([0, 0, 1, 1])
+
+n_groups = 3
+n_rows = len(overlap) // n_groups + 1
+
+for j, color_name in enumerate(sorted(overlap)):
+    css4 = mcolors.CSS4_COLORS[color_name]
+    xkcd = mcolors.XKCD_COLORS[f'xkcd:{color_name}'].upper()
+
+    # Pick text colour based on perceived luminance.
+    rgba = mcolors.to_rgba_array([css4, xkcd])
+    luma = 0.299 * rgba[:, 0] + 0.587 * rgba[:, 1] + 0.114 * rgba[:, 2]
+    css4_text_color = 'k' if luma[0] > 0.5 else 'w'
+    xkcd_text_color = 'k' if luma[1] > 0.5 else 'w'
+
+    col_shift = (j // n_rows) * 3
+    y_pos = j % n_rows
+    text_args = dict(fontsize=10, weight='bold' if css4 == xkcd else None)
+    ax.add_patch(mpatch.Rectangle((0 + col_shift, y_pos), 1, 1, color=css4))
+    ax.add_patch(mpatch.Rectangle((1 + col_shift, y_pos), 1, 1, color=xkcd))
+    ax.text(0.5 + col_shift, y_pos + .7, css4,
+            color=css4_text_color, ha='center', **text_args)
+    ax.text(1.5 + col_shift, y_pos + .7, xkcd,
+            color=xkcd_text_color, ha='center', **text_args)
+    ax.text(2 + col_shift, y_pos + .7, f'  {color_name}', **text_args)
+
+for g in range(n_groups):
+    ax.hlines(range(n_rows), 3*g, 3*g + 2.8, color='0.7', linewidth=1)
+    ax.text(0.5 + 3*g, -0.3, 'X11/CSS4', ha='center')
+    ax.text(1.5 + 3*g, -0.3, 'xkcd', ha='center')
+
+ax.set_xlim(0, 3 * n_groups)
+ax.set_ylim(n_rows, -1)
+ax.axis('off')
+
+plt.show()
diff --git a/galleries/users_explain/customizing.py b/galleries/users_explain/customizing.py
new file mode 100644
index 000000000000..05b75ba7d0a4
--- /dev/null
+++ b/galleries/users_explain/customizing.py
@@ -0,0 +1,269 @@
+"""
+.. redirect-from:: /users/customizing
+.. redirect-from:: /tutorials/introductory/customizing
+
+.. _customizing:
+
+=====================================================
+Customizing Matplotlib with style sheets and rcParams
+=====================================================
+
+Tips for customizing the properties and default styles of Matplotlib.
+
+There are three ways to customize Matplotlib:
+
+1. :ref:`Setting rcParams at runtime<customizing-with-dynamic-rc-settings>`.
+2. :ref:`Using style sheets<customizing-with-style-sheets>`.
+3. :ref:`Changing your matplotlibrc file<customizing-with-matplotlibrc-files>`.
+
+Setting rcParams at runtime takes precedence over style sheets, style
+sheets take precedence over :file:`matplotlibrc` files.
+
+.. _customizing-with-dynamic-rc-settings:
+
+Runtime rc settings
+===================
+
+You can dynamically change the default rc (runtime configuration)
+settings in a python script or interactively from the python shell. All
+rc settings are stored in a dictionary-like variable called
+:data:`matplotlib.rcParams`, which is global to the matplotlib package.
+See `matplotlib.rcParams` for a full list of configurable rcParams.
+rcParams can be modified directly, for example:
+"""
+
+from cycler import cycler
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import matplotlib as mpl
+
+mpl.rcParams['lines.linewidth'] = 2
+mpl.rcParams['lines.linestyle'] = '--'
+data = np.random.randn(50)
+plt.plot(data)
+
+# %%
+# Note, that in order to change the usual `~.Axes.plot` color you have to
+# change the *prop_cycle* property of *axes*:
+
+mpl.rcParams['axes.prop_cycle'] = cycler(color=['r', 'g', 'b', 'y'])
+plt.plot(data)  # first color is red
+
+# %%
+# Matplotlib also provides a couple of convenience functions for modifying rc
+# settings. `matplotlib.rc` can be used to modify multiple
+# settings in a single group at once, using keyword arguments:
+
+mpl.rc('lines', linewidth=4, linestyle='-.')
+plt.plot(data)
+
+# %%
+# Temporary rc settings
+# ---------------------
+#
+# The :data:`matplotlib.rcParams` object can also be changed temporarily using
+# the `matplotlib.rc_context` context manager:
+
+with mpl.rc_context({'lines.linewidth': 2, 'lines.linestyle': ':'}):
+    plt.plot(data)
+
+# %%
+# `matplotlib.rc_context` can also be used as a decorator to modify the
+# defaults within a function:
+
+
+@mpl.rc_context({'lines.linewidth': 3, 'lines.linestyle': '-'})
+def plotting_function():
+    plt.plot(data)
+
+plotting_function()
+
+# %%
+# `matplotlib.rcdefaults` will restore the standard Matplotlib
+# default settings.
+#
+# There is some degree of validation when setting the values of rcParams, see
+# :mod:`matplotlib.rcsetup` for details.
+
+# %%
+# .. _customizing-with-style-sheets:
+#
+# Using style sheets
+# ==================
+#
+# Another way to change the visual appearance of plots is to set the
+# rcParams in a so-called style sheet and import that style sheet with
+# `matplotlib.style.use`. In this way you can switch easily between
+# different styles by simply changing the imported style sheet. A style
+# sheets looks the same as a :ref:`matplotlibrc<matplotlibrc-sample>`
+# file, but in a style sheet you can only set rcParams that are related
+# to the actual style of a plot. Other rcParams, like *backend*, will be
+# ignored. :file:`matplotlibrc` files support all rcParams. The
+# rationale behind this is to make style sheets portable between
+# different machines without having to worry about dependencies which
+# might or might not be installed on another machine. For a full list of
+# rcParams see `matplotlib.rcParams`. For a list of rcParams that are
+# ignored in style sheets see `matplotlib.style.use`.
+#
+# There are a number of pre-defined styles :doc:`provided by Matplotlib
+# </gallery/style_sheets/style_sheets_reference>`. For
+# example, there's a pre-defined style called "ggplot", which emulates the
+# aesthetics of ggplot_ (a popular plotting package for R_). To use this
+# style, add:
+
+plt.style.use('ggplot')
+
+# %%
+# To list all available styles, use:
+
+print(plt.style.available)
+
+# %%
+# Defining your own style
+# -----------------------
+#
+# You can create custom styles and use them by calling `.style.use` with
+# the path or URL to the style sheet.
+#
+# For example, you might want to create
+# ``./images/presentation.mplstyle`` with the following::
+#
+#    axes.titlesize : 24
+#    axes.labelsize : 20
+#    lines.linewidth : 3
+#    lines.markersize : 10
+#    xtick.labelsize : 16
+#    ytick.labelsize : 16
+#
+# Then, when you want to adapt a plot designed for a paper to one that looks
+# good in a presentation, you can just add::
+#
+#    >>> import matplotlib.pyplot as plt
+#    >>> plt.style.use('./images/presentation.mplstyle')
+#
+#
+# Distributing styles
+# -------------------
+#
+# You can include style sheets into standard importable Python packages (which
+# can be e.g. distributed on PyPI).  If your package is importable as
+# ``import mypackage``, with a ``mypackage/__init__.py`` module, and you add
+# a ``mypackage/presentation.mplstyle`` style sheet, then it can be used as
+# ``plt.style.use("mypackage.presentation")``.  Subpackages (e.g.
+# ``dotted.package.name``) are also supported.
+#
+# Alternatively, you can make your style known to Matplotlib by placing
+# your ``<style-name>.mplstyle`` file into ``mpl_configdir/stylelib``.  You
+# can then load your custom style sheet with a call to
+# ``style.use(<style-name>)``.  By default ``mpl_configdir`` should be
+# ``~/.config/matplotlib``, but you can check where yours is with
+# `matplotlib.get_configdir()`; you may need to create this directory. You
+# also can change the directory where Matplotlib looks for the stylelib/
+# folder by setting the :envvar:`MPLCONFIGDIR` environment variable, see
+# :ref:`locating-matplotlib-config-dir`.
+#
+# Note that a custom style sheet in ``mpl_configdir/stylelib`` will override a
+# style sheet defined by Matplotlib if the styles have the same name.
+#
+# Once your ``<style-name>.mplstyle`` file is in the appropriate
+# ``mpl_configdir`` you can specify your style with::
+#
+#    >>> import matplotlib.pyplot as plt
+#    >>> plt.style.use(<style-name>)
+#
+#
+# Composing styles
+# ----------------
+#
+# Style sheets are designed to be composed together. So you can have a style
+# sheet that customizes colors and a separate style sheet that alters element
+# sizes for presentations. These styles can easily be combined by passing
+# a list of styles::
+#
+#    >>> import matplotlib.pyplot as plt
+#    >>> plt.style.use(['dark_background', 'presentation'])
+#
+# Note that styles further to the right will overwrite values that are already
+# defined by styles on the left.
+#
+#
+# Temporary styling
+# -----------------
+#
+# If you only want to use a style for a specific block of code but don't want
+# to change the global styling, the style package provides a context manager
+# for limiting your changes to a specific scope. To isolate your styling
+# changes, you can write something like the following:
+
+with plt.style.context('dark_background'):
+    plt.plot(np.sin(np.linspace(0, 2 * np.pi)), 'r-o')
+plt.show()
+
+# %%
+# .. _customizing-with-matplotlibrc-files:
+#
+# The :file:`matplotlibrc` file
+# =============================
+#
+# Matplotlib uses :file:`matplotlibrc` configuration files to customize all
+# kinds of properties, which we call 'rc settings' or 'rc parameters'. You can
+# control the defaults of almost every property in Matplotlib: figure size and
+# DPI, line width, color and style, Axes, axis and grid properties, text and
+# font properties and so on. The :file:`matplotlibrc` is read at startup to
+# configure Matplotlib. Matplotlib looks for :file:`matplotlibrc` in four
+# locations, in the following order:
+#
+# 1. :file:`matplotlibrc` in the current working directory, usually used for
+#    specific customizations that you do not want to apply elsewhere.
+#
+# 2. :file:`$MATPLOTLIBRC` if it is a file, else
+#    :file:`$MATPLOTLIBRC/matplotlibrc`.
+#
+# 3. It next looks in a user-specific place, depending on your platform:
+#
+#    - On Linux and FreeBSD, it looks in
+#      :file:`.config/matplotlib/matplotlibrc` (or
+#      :file:`$XDG_CONFIG_HOME/matplotlib/matplotlibrc`) if you've customized
+#      your environment.
+#
+#    - On other platforms, it looks in :file:`.matplotlib/matplotlibrc`.
+#
+#    See :ref:`locating-matplotlib-config-dir`.
+#
+# 4. :file:`{INSTALL}/matplotlib/mpl-data/matplotlibrc`, where
+#    :file:`{INSTALL}` is something like
+#    :file:`/usr/lib/python3.10/site-packages` on Linux, and maybe
+#    :file:`C:\\Python310\\Lib\\site-packages` on Windows. Every time you
+#    install matplotlib, this file will be overwritten, so if you want
+#    your customizations to be saved, please move this file to your
+#    user-specific matplotlib directory.
+#
+# Once a :file:`matplotlibrc` file has been found, it will *not* search
+# any of the other paths. When a
+# :ref:`style sheet<customizing-with-style-sheets>` is given with
+# ``style.use('<path>/<style-name>.mplstyle')``, settings specified in
+# the style sheet take precedence over settings in the
+# :file:`matplotlibrc` file.
+#
+# To display where the currently active :file:`matplotlibrc` file was
+# loaded from, one can do the following::
+#
+#   >>> import matplotlib
+#   >>> matplotlib.matplotlib_fname()
+#   '/home/foo/.config/matplotlib/matplotlibrc'
+#
+# See below for a sample :ref:`matplotlibrc file<matplotlibrc-sample>`
+# and see `matplotlib.rcParams` for a full list of configurable rcParams.
+#
+# .. _matplotlibrc-sample:
+#
+# The default :file:`matplotlibrc` file
+# -------------------------------------
+#
+# .. literalinclude:: ../../../lib/matplotlib/mpl-data/matplotlibrc
+#
+#
+# .. _ggplot: https://ggplot2.tidyverse.org/
+# .. _R: https://www.r-project.org/
diff --git a/galleries/users_explain/figure/api_interfaces.rst b/galleries/users_explain/figure/api_interfaces.rst
new file mode 100644
index 000000000000..981359dbee0b
--- /dev/null
+++ b/galleries/users_explain/figure/api_interfaces.rst
@@ -0,0 +1,342 @@
+.. redirect-from:: /gallery/misc/pythonic_matplotlib
+
+.. _api_interfaces:
+
+========================================
+Matplotlib Application Interfaces (APIs)
+========================================
+
+Matplotlib has two major application interfaces, or styles of using the library:
+
+- An explicit "Axes" interface that uses methods on a Figure or Axes object to
+  create other Artists, and build a visualization step by step.  This has also
+  been called an "object-oriented" interface.
+- An implicit "pyplot" interface that keeps track of the last Figure and Axes
+  created, and adds Artists to the object it thinks the user wants.
+
+In addition, a number of downstream libraries (like `pandas` and xarray_) offer
+a ``plot`` method implemented directly on their data classes so that users can
+call ``data.plot()``.
+
+.. _xarray: https://xarray.pydata.org
+
+The difference between these interfaces can be a bit confusing, particularly
+given snippets on the web that use one or the other, or sometimes multiple
+interfaces in the same example.  Here we attempt to point out how the "pyplot"
+and downstream interfaces relate to the explicit "Axes" interface to help users
+better navigate the library.
+
+
+Native Matplotlib interfaces
+----------------------------
+
+The explicit "Axes" interface
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The "Axes" interface is how Matplotlib is implemented, and many customizations
+and fine-tuning end up being done at this level.
+
+This interface works by instantiating an instance of a
+`~.matplotlib.figure.Figure` class (``fig`` below), using a
+`~.Figure.subplots` method (or similar) on that object to create one or more
+`~.matplotlib.axes.Axes` objects (``ax`` below), and then calling drawing
+methods on the Axes (``plot`` in this example):
+
+.. plot::
+   :include-source:
+   :align: center
+
+    import matplotlib.pyplot as plt
+
+    fig = plt.figure()
+    ax = fig.subplots()
+    ax.plot([1, 2, 3, 4], [0, 0.5, 1, 0.2])
+
+We call this an "explicit" interface because each object is explicitly
+referenced, and used to make the next object.  Keeping references to the objects
+is very flexible, and allows us to customize the objects after they are created,
+but before they are displayed.
+
+
+.. _pyplot_interface:
+
+The implicit "pyplot" interface
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The `~.matplotlib.pyplot` module shadows most of the
+`~.matplotlib.axes.Axes` plotting methods to give the equivalent of
+the above, where the creation of the Figure and Axes is done for the user:
+
+.. plot::
+   :include-source:
+   :align: center
+
+    import matplotlib.pyplot as plt
+
+    plt.plot([1, 2, 3, 4], [0, 0.5, 1, 0.2])
+
+This can be convenient, particularly when doing interactive work or simple
+scripts.  A reference to the current Figure can be retrieved using
+`~.pyplot.gcf` and to the current Axes by `~.pyplot.gca`.  The `~.pyplot` module
+retains a list of Figures, and each Figure retains a list of Axes on the figure
+for the user so that the following:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    plt.subplot(1, 2, 1)
+    plt.plot([1, 2, 3], [0, 0.5, 0.2])
+
+    plt.subplot(1, 2, 2)
+    plt.plot([3, 2, 1], [0, 0.5, 0.2])
+
+is equivalent to:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    plt.subplot(1, 2, 1)
+    ax = plt.gca()
+    ax.plot([1, 2, 3], [0, 0.5, 0.2])
+
+    plt.subplot(1, 2, 2)
+    ax = plt.gca()
+    ax.plot([3, 2, 1], [0, 0.5, 0.2])
+
+In the explicit interface, this would be:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    fig, axs = plt.subplots(1, 2)
+    axs[0].plot([1, 2, 3], [0, 0.5, 0.2])
+    axs[1].plot([3, 2, 1], [0, 0.5, 0.2])
+
+Translating between the Axes interface and the pyplot interface
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+You may find either interface in existing code, and unfortunately sometimes even
+mixtures. This section describes the patterns for specific operations in both
+interfaces and how to translate from one to the other.
+
+- Creating figures is the same for both interfaces: Use the respective `.pyplot`
+  functions ``plt.figure()``, ``plt.subplots()``, ``plt.subplot_mosaic()``.
+  For the Axes interface, you typically store the created Figure (and possibly
+  Axes) in variables for later use. When using the pyplot interface, these
+  values are typically not stored. Example:
+
+  - Axes: ``fig, ax = plt.subplots()``
+  - pyplot: ``plt.subplots()``
+
+- "Plotting" functions, i.e. functions that add data, are named the same and
+  have identical parameters on the Axes and in pyplot. Example:
+
+  - Axes: ``ax.plot(x, y)``
+  - pyplot: ``plt.plot(x, y)``
+
+- Functions that retrieve properties are named like the property in pyplot
+  and are prefixed with ``get_`` on the Axes. Example:
+
+  - Axes: ``label = ax.get_xlabel()``
+  - pyplot: ``label = plt.xlabel()``
+
+- Functions that set properties like the property in pyplot and are prefixed with
+  ``set_`` on the Axes. Example:
+
+  - Axes: ``ax.set_xlabel("time")``
+  - pyplot: ``plt.xlabel("time")``
+
+Here is a short summary of the examples again as a side-by-side comparison:
+
+==================   ============================   ========================
+Operation            Axes interface                 pyplot interface
+==================   ============================   ========================
+Creating figures     ``fig, ax = plt.subplots()``   ``plt.subplots()``
+Plotting data        ``ax.plot(x, y)``              ``plt.plot(x, y)``
+Getting properties   ``label = ax.get_xlabel()``    ``label = plt.xlabel()``
+Setting properties   ``ax.set_xlabel("time")``      ``plt.xlabel("time")``
+==================   ============================   ========================
+
+
+Why be explicit?
+^^^^^^^^^^^^^^^^
+
+What happens if you have to backtrack, and operate on an old axes that is not
+referenced by ``plt.gca()``?  One simple way is to call ``subplot`` again with
+the same arguments.  However, that quickly becomes inelegant.  You can also
+inspect the Figure object and get its list of Axes objects, however, that can be
+misleading (colorbars are Axes too!). The best solution is probably to save a
+handle to every Axes you create, but if you do that, why not simply create the
+all the Axes objects at the start?
+
+The first approach is to call ``plt.subplot`` again:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    plt.subplot(1, 2, 1)
+    plt.plot([1, 2, 3], [0, 0.5, 0.2])
+
+    plt.subplot(1, 2, 2)
+    plt.plot([3, 2, 1], [0, 0.5, 0.2])
+
+    plt.suptitle('Implicit Interface: re-call subplot')
+
+    for i in range(1, 3):
+        plt.subplot(1, 2, i)
+        plt.xlabel('Boo')
+
+The second is to save a handle:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    axs = []
+    ax = plt.subplot(1, 2, 1)
+    axs += [ax]
+    plt.plot([1, 2, 3], [0, 0.5, 0.2])
+
+    ax = plt.subplot(1, 2, 2)
+    axs += [ax]
+    plt.plot([3, 2, 1], [0, 0.5, 0.2])
+
+    plt.suptitle('Implicit Interface: save handles')
+
+    for i in range(2):
+        plt.sca(axs[i])
+        plt.xlabel('Boo')
+
+However, the recommended way would be to be explicit from the outset:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    fig, axs = plt.subplots(1, 2)
+    axs[0].plot([1, 2, 3], [0, 0.5, 0.2])
+    axs[1].plot([3, 2, 1], [0, 0.5, 0.2])
+    fig.suptitle('Explicit Interface')
+    for i in range(2):
+        axs[i].set_xlabel('Boo')
+
+
+Third-party library "Data-object" interfaces
+--------------------------------------------
+
+Some third party libraries have chosen to implement plotting for their data
+objects, e.g. ``data.plot()``, is seen in `pandas`, xarray_, and other
+third-party libraries.  For illustrative purposes, a downstream library may
+implement a simple data container that has ``x`` and ``y`` data stored together,
+and then implements a ``plot`` method:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    # supplied by downstream library:
+    class DataContainer:
+
+        def __init__(self, x, y):
+            """
+            Proper docstring here!
+            """
+            self._x = x
+            self._y = y
+
+        def plot(self, ax=None, **kwargs):
+            if ax is None:
+                ax = plt.gca()
+            ax.plot(self._x, self._y, **kwargs)
+            ax.set_title('Plotted from DataClass!')
+            return ax
+
+
+    # what the user usually calls:
+    data = DataContainer([0, 1, 2, 3], [0, 0.2, 0.5, 0.3])
+    data.plot()
+
+So the library can hide all the nitty-gritty from the user, and can make a
+visualization appropriate to the data type, often with good labels, choices of
+colormaps, and other convenient features.
+
+In the above, however, we may not have liked the title the library provided.
+Thankfully, they pass us back the Axes from the ``plot()`` method, and
+understanding the explicit Axes interface, we could call:
+``ax.set_title('My preferred title')`` to customize the title.
+
+Many libraries also allow their ``plot`` methods to accept an optional *ax*
+argument. This allows us to place the visualization in an Axes that we have
+placed and perhaps customized.
+
+Summary
+-------
+
+Overall, it is useful to understand the explicit "Axes" interface since it is
+the most flexible and underlies the other interfaces.  A user can usually
+figure out how to drop down to the explicit interface and operate on the
+underlying objects.  While the explicit interface can be a bit more verbose
+to setup, complicated plots will often end up simpler than trying to use
+the implicit "pyplot" interface.
+
+.. note::
+
+    It is sometimes confusing to people that we import ``pyplot`` for both
+    interfaces.  Currently, the ``pyplot`` module implements the "pyplot"
+    interface, but it also provides top-level Figure and Axes creation
+    methods, and ultimately spins up the graphical user interface, if one
+    is being used.  So ``pyplot`` is still needed regardless of the
+    interface chosen.
+
+Similarly, the declarative interfaces provided by partner libraries use the
+objects accessible by the "Axes" interface, and often accept these as arguments
+or pass them back from methods.  It is usually essential to use the explicit
+"Axes" interface to perform any customization of the default visualization, or
+to unpack the data into NumPy arrays and pass directly to Matplotlib.
+
+Appendix: "Axes" interface with data structures
+-----------------------------------------------
+
+Most `~.axes.Axes` methods allow yet another API addressing by passing a
+*data* object to the method and specifying the arguments as strings:
+
+.. plot::
+    :include-source:
+    :align: center
+
+    import matplotlib.pyplot as plt
+
+    data = {'xdat': [0, 1, 2, 3], 'ydat': [0, 0.2, 0.4, 0.1]}
+    fig, ax = plt.subplots(figsize=(2, 2))
+    ax.plot('xdat', 'ydat', data=data)
+
+
+Appendix: "pylab" interface
+---------------------------
+
+There is one further interface that is highly discouraged, and that is to
+basically do ``from matplotlib.pylab import *``. This imports all the
+functions from ``matplotlib.pyplot``, ``numpy``, ``numpy.fft``, ``numpy.linalg``, and
+``numpy.random``, and some additional functions into the global namespace.
+
+Such a pattern is considered bad practice in modern python, as it clutters
+the global namespace. Even more severely, in the case of ``pylab``, this will
+overwrite some builtin functions (e.g. the builtin ``sum`` will be replaced by
+``numpy.sum``), which can lead to unexpected behavior.
diff --git a/galleries/users_explain/figure/backends.rst b/galleries/users_explain/figure/backends.rst
new file mode 100644
index 000000000000..85ed8dece23d
--- /dev/null
+++ b/galleries/users_explain/figure/backends.rst
@@ -0,0 +1,331 @@
+.. redirect-from:: /users/explain/backends
+
+.. _backends:
+
+========
+Backends
+========
+
+.. _what-is-a-backend:
+
+What is a backend?
+------------------
+
+Backends are used for displaying Matplotlib figures (see :ref:`figure-intro`),
+on the screen, or for writing to files. A lot of documentation on the website
+and in the mailing lists refers to the "backend" and many new users are
+confused by this term. Matplotlib targets many different use cases and output
+formats. Some people use Matplotlib interactively from the Python shell and
+have plotting windows pop up when they type commands. Some people run `Jupyter
+<https://jupyter.org>`_ notebooks and draw inline plots for quick data
+analysis. Others embed Matplotlib into graphical user interfaces like PyQt or
+PyGObject to build rich applications. Some people use Matplotlib in batch
+scripts to generate postscript images from numerical simulations, and still
+others run web application servers to dynamically serve up graphs.
+
+To support all of these use cases, Matplotlib can target different
+outputs, and each of these capabilities is called a backend; the
+"frontend" is the user facing code, i.e., the plotting code, whereas the
+"backend" does all the hard work behind-the-scenes to make the figure.
+There are two types of backends: user interface backends (for use in
+PyQt/PySide, PyGObject, Tkinter, wxPython, or macOS/Cocoa); also referred to
+as "interactive backends") and hardcopy backends to make image files
+(PNG, SVG, PDF, PS; also referred to as "non-interactive backends").
+
+Selecting a backend
+-------------------
+
+There are three ways to configure your backend:
+
+- The :rc:`backend` parameter in your :file:`matplotlibrc` file
+- The :envvar:`MPLBACKEND` environment variable
+- The function :func:`matplotlib.use`
+
+Below is a more detailed description.
+
+If there is more than one configuration present, the last one from the
+list takes precedence; e.g. calling :func:`matplotlib.use()` will override
+the setting in your :file:`matplotlibrc`.
+
+Without a backend explicitly set, Matplotlib automatically detects a usable
+backend based on what is available on your system and on whether a GUI event
+loop is already running.  The first usable backend in the following list is
+selected: MacOSX, QtAgg, GTK4Agg, Gtk3Agg, TkAgg, WxAgg, Agg.  The last, Agg,
+is a non-interactive backend that can only write to files.  It is used on
+Linux, if Matplotlib cannot connect to either an X display or a Wayland
+display.
+
+Here is a detailed description of the configuration methods:
+
+#. Setting :rc:`backend` in your :file:`matplotlibrc` file::
+
+       backend : qtagg   # use pyqt with antigrain (agg) rendering
+
+   See also :ref:`customizing`.
+
+#. Setting the :envvar:`MPLBACKEND` environment variable:
+
+   You can set the environment variable either for your current shell or for
+   a single script.
+
+   On Unix::
+
+        > export MPLBACKEND=qtagg
+        > python simple_plot.py
+
+        > MPLBACKEND=qtagg python simple_plot.py
+
+   On Windows, only the former is possible::
+
+        > set MPLBACKEND=qtagg
+        > python simple_plot.py
+
+   Setting this environment variable will override the ``backend`` parameter
+   in *any* :file:`matplotlibrc`, even if there is a :file:`matplotlibrc` in
+   your current working directory. Therefore, setting :envvar:`MPLBACKEND`
+   globally, e.g. in your :file:`.bashrc` or :file:`.profile`, is discouraged
+   as it might lead to counter-intuitive behavior.
+
+#. If your script depends on a specific backend you can use the function
+   :func:`matplotlib.use`::
+
+      import matplotlib
+      matplotlib.use('qtagg')
+
+   This should be done before any figure is created, otherwise Matplotlib may
+   fail to switch the backend and raise an ImportError.
+
+   Using `~matplotlib.use` will require changes in your code if users want to
+   use a different backend.  Therefore, you should avoid explicitly calling
+   `~matplotlib.use` unless absolutely necessary.
+
+.. _the-builtin-backends:
+
+The builtin backends
+--------------------
+
+By default, Matplotlib should automatically select a default backend which
+allows both interactive work and plotting from scripts, with output to the
+screen and/or to a file, so at least initially, you will not need to worry
+about the backend.  The most common exception is if your Python distribution
+comes without :mod:`tkinter` and you have no other GUI toolkit installed.
+This happens with certain Linux distributions, where you need to install a
+Linux package named ``python-tk`` (or similar).
+
+If, however, you want to write graphical user interfaces, or a web
+application server
+(:doc:`/gallery/user_interfaces/web_application_server_sgskip`), or need a
+better understanding of what is going on, read on. To make things easily
+more customizable for graphical user interfaces, Matplotlib separates
+the concept of the renderer (the thing that actually does the drawing)
+from the canvas (the place where the drawing goes).  The canonical
+renderer for user interfaces is ``Agg`` which uses the `Anti-Grain
+Geometry`_ C++ library to make a raster (pixel) image of the figure; it
+is used by the ``QtAgg``, ``GTK4Agg``, ``GTK3Agg``, ``wxAgg``, ``TkAgg``, and
+``macosx`` backends.  An alternative renderer is based on the Cairo library,
+used by ``QtCairo``, etc.
+
+For the rendering engines, users can also distinguish between `vector
+<https://en.wikipedia.org/wiki/Vector_graphics>`_ or `raster
+<https://en.wikipedia.org/wiki/Raster_graphics>`_ renderers.  Vector
+graphics languages issue drawing commands like "draw a line from this
+point to this point" and hence are scale free. Raster backends
+generate a pixel representation of the line whose accuracy depends on a
+DPI setting.
+
+Static backends
+^^^^^^^^^^^^^^^
+
+Here is a summary of the Matplotlib renderers (there is an eponymous
+backend for each; these are *non-interactive backends*, capable of
+writing to a file):
+
+========  =========  =======================================================
+Renderer  Filetypes  Description
+========  =========  =======================================================
+AGG       png        raster_ graphics -- high quality images using the
+                     `Anti-Grain Geometry`_ engine.
+PDF       pdf        vector_ graphics -- `Portable Document Format`_ output.
+PS        ps, eps    vector_ graphics -- PostScript_ output.
+SVG       svg        vector_ graphics -- `Scalable Vector Graphics`_ output.
+PGF       pgf, pdf   vector_ graphics -- using the pgf_ package.
+Cairo     png, ps,   raster_ or vector_ graphics -- using the Cairo_ library
+          pdf, svg   (requires pycairo_ or cairocffi_).
+========  =========  =======================================================
+
+To save plots using the non-interactive backends, use the
+``matplotlib.pyplot.savefig('filename')`` method.
+
+
+Interactive backends
+^^^^^^^^^^^^^^^^^^^^
+
+These are the user interfaces and renderer combinations supported;
+these are *interactive backends*, capable of displaying to the screen
+and using appropriate renderers from the table above to write to
+a file:
+
+========= ================================================================
+Backend   Description
+========= ================================================================
+QtAgg     Agg rendering in a Qt_ canvas (requires PyQt_ or `Qt for Python`_,
+          a.k.a. PySide).  This backend can be activated in IPython with
+          ``%matplotlib qt``.  The Qt binding can be selected via the
+          :envvar:`QT_API` environment variable; see :ref:`QT_bindings` for
+          more details.
+ipympl    Agg rendering embedded in a Jupyter widget (requires ipympl_).
+          This backend can be enabled in a Jupyter notebook with
+          ``%matplotlib ipympl`` or ``%matplotlib widget``.  Works with
+          Jupyter ``lab`` and ``notebook>=7``.
+GTK3Agg   Agg rendering to a GTK_ 3.x canvas (requires PyGObject_ and
+          pycairo_).  This backend can be activated in IPython with
+          ``%matplotlib gtk3``.
+GTK4Agg   Agg rendering to a GTK_ 4.x canvas (requires PyGObject_ and
+          pycairo_).  This backend can be activated in IPython with
+          ``%matplotlib gtk4``.
+macosx    Agg rendering into a Cocoa canvas in macOS.  This backend can be
+          activated in IPython with ``%matplotlib osx``.
+TkAgg     Agg rendering to a Tk_ canvas (requires TkInter_). This
+          backend can be activated in IPython with ``%matplotlib tk``.
+nbAgg     Embed an interactive figure in a Jupyter classic notebook.  This
+          backend can be enabled in Jupyter notebooks via
+          ``%matplotlib notebook`` or ``%matplotlib nbagg``.  Works with
+          Jupyter ``notebook<7`` and ``nbclassic``.
+WebAgg    On ``show()`` will start a tornado server with an interactive
+          figure.
+GTK3Cairo Cairo rendering to a GTK_ 3.x canvas (requires PyGObject_ and
+          pycairo_).
+GTK4Cairo Cairo rendering to a GTK_ 4.x canvas (requires PyGObject_ and
+          pycairo_).
+wxAgg     Agg rendering to a wxWidgets_ canvas (requires wxPython_ 4).
+          This backend can be activated in IPython with ``%matplotlib wx``.
+========= ================================================================
+
+.. note::
+   The names of builtin backends are case-insensitive; e.g., 'QtAgg' and
+   'qtagg' are equivalent.
+
+.. _`Anti-Grain Geometry`: http://agg.sourceforge.net/antigrain.com/
+.. _`Portable Document Format`: https://en.wikipedia.org/wiki/Portable_Document_Format
+.. _Postscript: https://en.wikipedia.org/wiki/PostScript
+.. _`Scalable Vector Graphics`: https://en.wikipedia.org/wiki/Scalable_Vector_Graphics
+.. _pgf: https://ctan.org/pkg/pgf
+.. _Cairo: https://www.cairographics.org
+.. _PyGObject: https://pygobject.gnome.org/
+.. _pycairo: https://www.cairographics.org/pycairo/
+.. _cairocffi: https://doc.courtbouillon.org/cairocffi/stable/
+.. _wxPython: https://www.wxpython.org/
+.. _TkInter: https://docs.python.org/3/library/tk.html
+.. _PyQt: https://riverbankcomputing.com/software/pyqt/intro
+.. _`Qt for Python`: https://doc.qt.io/qtforpython/
+.. _Qt: https://qt.io/
+.. _GTK: https://www.gtk.org/
+.. _Tk: https://www.tcl.tk/
+.. _wxWidgets: https://www.wxwidgets.org/
+.. _ipympl: https://www.matplotlib.org/ipympl
+
+.. _ipympl_install:
+
+ipympl
+^^^^^^
+
+The ipympl backend is in a separate package that must be explicitly installed
+if you wish to use it, for example:
+
+.. code-block:: bash
+
+   pip install ipympl
+
+or
+
+.. code-block:: bash
+
+   conda install ipympl -c conda-forge
+
+See `installing ipympl <https://matplotlib.org/ipympl/installing.html>`__ for more details.
+
+Using non-builtin backends
+--------------------------
+More generally, any importable backend can be selected by using any of the
+methods above. If ``name.of.the.backend`` is the module containing the
+backend, use ``module://name.of.the.backend`` as the backend name, e.g.
+``matplotlib.use('module://name.of.the.backend')``.
+
+Information for backend implementers is available at :ref:`writing_backend_interface`.
+
+.. _figures-not-showing:
+
+Debugging the figure windows not showing
+----------------------------------------
+
+Sometimes things do not work as expected, usually during an install.
+
+If you are using a Notebook or integrated development environment (see :ref:`notebooks-and-ides`),
+please consult their documentation for debugging figures not working in their
+environments.
+
+If you are using one of Matplotlib's graphics backends (see :ref:`standalone-scripts-and-interactive-use`), make sure you know which
+one is being used:
+
+.. code-block:: python3
+
+   import matplotlib
+
+   print(matplotlib.get_backend())
+
+Try a simple plot to see if the GUI opens:
+
+.. code-block:: python3
+
+   import matplotlib
+   import matplotlib.pyplot as plt
+
+   print(matplotlib.get_backend())
+   plt.plot((1, 4, 6))
+   plt.show()
+
+If it does not, you perhaps have an installation problem.  A good step at this
+point is to ensure that your GUI toolkit is installed properly, taking
+Matplotlib out of the testing.  Almost all GUI toolkits have a small test
+program that can be run to test basic functionality.  If this test fails, try re-installing.
+
+QtAgg, QtCairo, Qt5Agg, and Qt5Cairo
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Test ``PyQt6`` (if you have ``PyQt5``, ``PySide2`` or ``PySide6`` installed
+rather than ``PyQt6``, just change the import accordingly):
+
+.. code-block:: bash
+
+   python3 -c "from PyQt6.QtWidgets import *; app = QApplication([]); win = QMainWindow(); win.show(); app.exec()"
+
+
+TkAgg and TkCairo
+^^^^^^^^^^^^^^^^^
+
+Test ``tkinter``:
+
+.. code-block:: bash
+
+   python3 -c "from tkinter import Tk; Tk().mainloop()"
+
+GTK3Agg, GTK4Agg, GTK3Cairo, GTK4Cairo
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Test ``Gtk``:
+
+.. code-block:: bash
+
+   python3 -c "from gi.repository import Gtk; win = Gtk.Window(); win.connect('destroy', Gtk.main_quit); win.show(); Gtk.main()"
+
+wxAgg and wxCairo
+^^^^^^^^^^^^^^^^^
+
+Test ``wx``:
+
+.. code-block:: bash
+
+   python3 -c "import wx; app = wx.App(); frame = wx.Frame(None); frame.Show(); app.MainLoop()"
+
+If the test works for your desired backend but you still cannot get Matplotlib to display a figure, then contact us (see
+:ref:`get-help`).
diff --git a/galleries/users_explain/figure/event_handling.rst b/galleries/users_explain/figure/event_handling.rst
new file mode 100644
index 000000000000..caf987e3d6da
--- /dev/null
+++ b/galleries/users_explain/figure/event_handling.rst
@@ -0,0 +1,653 @@
+.. redirect-from:: /users/event_handling
+
+.. _event-handling:
+.. _event_handling:
+
+**************************
+Event handling and picking
+**************************
+
+Matplotlib works with a number of user interface toolkits (wxpython,
+tkinter, qt, gtk, and macOS) and in order to support features like
+interactive panning and zooming of figures, it is helpful to the
+developers to have an API for interacting with the figure via key
+presses and mouse movements that is "GUI neutral" so we don't have to
+repeat a lot of code across the different user interfaces.  Although
+the event handling API is GUI neutral, it is based on the GTK model,
+which was the first user interface Matplotlib supported.  The events
+that are triggered are also a bit richer vis-a-vis Matplotlib than
+standard GUI events, including information like which
+`~.axes.Axes` the event occurred in.  The events also
+understand the Matplotlib coordinate system, and report event
+locations in both pixel and data coordinates.
+
+.. _event-connections:
+
+Event connections
+=================
+
+To receive events, you need to write a callback function and then
+connect your function to the event manager, which is part of the
+`~.FigureCanvasBase`.  Here is a simple
+example that prints the location of the mouse click and which button
+was pressed::
+
+    fig, ax = plt.subplots()
+    ax.plot(np.random.rand(10))
+
+    def onclick(event):
+        print('%s click: button=%d, x=%d, y=%d, xdata=%f, ydata=%f' %
+              ('double' if event.dblclick else 'single', event.button,
+               event.x, event.y, event.xdata, event.ydata))
+
+    cid = fig.canvas.mpl_connect('button_press_event', onclick)
+
+The `.FigureCanvasBase.mpl_connect` method returns a connection id (an
+integer), which can be used to disconnect the callback via ::
+
+    fig.canvas.mpl_disconnect(cid)
+
+.. note::
+   The canvas retains only weak references to instance methods used as
+   callbacks.  Therefore, you need to retain a reference to instances owning
+   such methods.  Otherwise the instance will be garbage-collected and the
+   callback will vanish.
+
+   This does not affect free functions used as callbacks.
+
+Here are the events that you can connect to, the class instances that
+are sent back to you when the event occurs, and the event descriptions:
+
+====================== ================ ======================================
+Event name             Class            Description
+====================== ================ ======================================
+'button_press_event'   `.MouseEvent`    mouse button is pressed
+'button_release_event' `.MouseEvent`    mouse button is released
+'close_event'          `.CloseEvent`    figure is closed
+'draw_event'           `.DrawEvent`     canvas has been drawn (but screen
+                                        widget not updated yet)
+'key_press_event'      `.KeyEvent`      key is pressed
+'key_release_event'    `.KeyEvent`      key is released
+'motion_notify_event'  `.MouseEvent`    mouse moves
+'pick_event'           `.PickEvent`     artist in the canvas is selected
+'resize_event'         `.ResizeEvent`   figure canvas is resized
+'scroll_event'         `.MouseEvent`    mouse scroll wheel is rolled
+'figure_enter_event'   `.LocationEvent` mouse enters a new figure
+'figure_leave_event'   `.LocationEvent` mouse leaves a figure
+'axes_enter_event'     `.LocationEvent` mouse enters a new axes
+'axes_leave_event'     `.LocationEvent` mouse leaves an axes
+====================== ================ ======================================
+
+.. note::
+   When connecting to 'key_press_event' and 'key_release_event' events,
+   you may encounter inconsistencies between the different user interface
+   toolkits that Matplotlib works with. This is due to inconsistencies/limitations
+   of the user interface toolkit. The following table shows some basic examples of
+   what you may expect to receive as key(s) (using a QWERTY keyboard layout)
+   from the different user interface toolkits, where a comma separates different keys:
+
+   .. container:: wide-table
+
+      .. list-table::
+         :header-rows: 1
+         :stub-columns: 1
+
+         * - Key(s) Pressed
+           - Tkinter
+           - Qt
+           - macosx
+           - WebAgg
+           - GTK
+           - WxPython
+         * - :kbd:`Shift+2`
+           - shift, @
+           - shift, @
+           - shift, @
+           - shift, @
+           - shift, @
+           - shift, shift+2
+         * - :kbd:`Shift+F1`
+           - shift, shift+f1
+           - shift, shift+f1
+           - shift, shift+f1
+           - shift, shift+f1
+           - shift, shift+f1
+           - shift, shift+f1
+         * - :kbd:`Shift`
+           - shift
+           - shift
+           - shift
+           - shift
+           - shift
+           - shift
+         * - :kbd:`Control`
+           - control
+           - control
+           - control
+           - control
+           - control
+           - control
+         * - :kbd:`Alt`
+           - alt
+           - alt
+           - alt
+           - alt
+           - alt
+           - alt
+         * - :kbd:`AltGr`
+           - iso_level3_shift
+           - *nothing*
+           -
+           - alt
+           - iso_level3_shift
+           - *nothing*
+         * - :kbd:`CapsLock`
+           - caps_lock
+           - caps_lock
+           - caps_lock
+           - caps_lock
+           - caps_lock
+           - caps_lock
+         * - :kbd:`CapsLock+a`
+           - caps_lock, A
+           - caps_lock, a
+           - caps_lock, a
+           - caps_lock, A
+           - caps_lock, A
+           - caps_lock, a
+         * - :kbd:`a`
+           - a
+           - a
+           - a
+           - a
+           - a
+           - a
+         * - :kbd:`Shift+a`
+           - shift, A
+           - shift, A
+           - shift, A
+           - shift, A
+           - shift, A
+           - shift, A
+         * - :kbd:`CapsLock+Shift+a`
+           - caps_lock, shift, a
+           - caps_lock, shift, A
+           - caps_lock, shift, A
+           - caps_lock, shift, a
+           - caps_lock, shift, a
+           - caps_lock, shift, A
+         * - :kbd:`Ctrl+Shift+Alt`
+           - control, ctrl+shift, ctrl+meta
+           - control, ctrl+shift, ctrl+meta
+           - control, ctrl+shift, ctrl+alt+shift
+           - control, ctrl+shift, ctrl+meta
+           - control, ctrl+shift, ctrl+meta
+           - control, ctrl+shift, ctrl+alt
+         * - :kbd:`Ctrl+Shift+a`
+           - control, ctrl+shift, ctrl+a
+           - control, ctrl+shift, ctrl+A
+           - control, ctrl+shift, ctrl+A
+           - control, ctrl+shift, ctrl+A
+           - control, ctrl+shift, ctrl+A
+           - control, ctrl+shift, ctrl+A
+         * - :kbd:`F1`
+           - f1
+           - f1
+           - f1
+           - f1
+           - f1
+           - f1
+         * - :kbd:`Ctrl+F1`
+           - control, ctrl+f1
+           - control, ctrl+f1
+           - control, *nothing*
+           - control, ctrl+f1
+           - control, ctrl+f1
+           - control, ctrl+f1
+
+Matplotlib attaches some keypress callbacks by default for interactivity; they
+are documented in the :ref:`key-event-handling` section.
+
+.. _event-attributes:
+
+Event attributes
+================
+
+All Matplotlib events inherit from the base class
+`matplotlib.backend_bases.Event`, which stores the attributes:
+
+``name``
+    the event name
+``canvas``
+    the FigureCanvas instance generating the event
+``guiEvent``
+    the GUI event that triggered the Matplotlib event
+
+The most common events that are the bread and butter of event handling
+are key press/release events and mouse press/release and movement
+events.  The `.KeyEvent` and `.MouseEvent` classes that handle
+these events are both derived from the LocationEvent, which has the
+following attributes
+
+``x``, ``y``
+    mouse x and y position in pixels from left and bottom of canvas
+``inaxes``
+    the `~.axes.Axes` instance over which the mouse is, if any; else None
+``xdata``, ``ydata``
+    mouse x and y position in data coordinates, if the mouse is over an
+    axes
+
+Let's look a simple example of a canvas, where a simple line segment
+is created every time a mouse is pressed::
+
+    from matplotlib import pyplot as plt
+
+    class LineBuilder:
+        def __init__(self, line):
+            self.line = line
+            self.xs = list(line.get_xdata())
+            self.ys = list(line.get_ydata())
+            self.cid = line.figure.canvas.mpl_connect('button_press_event', self)
+
+        def __call__(self, event):
+            print('click', event)
+            if event.inaxes != self.line.axes:
+                return
+            self.xs.append(event.xdata)
+            self.ys.append(event.ydata)
+            self.line.set_data(self.xs, self.ys)
+            self.line.figure.canvas.draw()
+
+    fig, ax = plt.subplots()
+    ax.set_title('click to build line segments')
+    line, = ax.plot([0], [0])  # empty line
+    linebuilder = LineBuilder(line)
+
+    plt.show()
+
+The `.MouseEvent` that we just used is a `.LocationEvent`, so we have access to
+the data and pixel coordinates via ``(event.x, event.y)`` and ``(event.xdata,
+event.ydata)``.  In addition to the ``LocationEvent`` attributes, it also has:
+
+``button``
+    the button pressed: None, `.MouseButton`, 'up', or 'down' (up and down are used for scroll events)
+
+``key``
+    the key pressed: None, any character, 'shift', 'win', or 'control'
+
+Draggable rectangle exercise
+----------------------------
+
+Write a draggable rectangle class that is initialized with a
+`.Rectangle` instance but will move its ``xy``
+location when dragged.
+
+Hint: You will need to store the original
+``xy`` location of the rectangle which is stored as ``rect.xy`` and
+connect to the press, motion and release mouse events.  When the mouse
+is pressed, check to see if the click occurs over your rectangle (see
+`!.Rectangle.contains`) and if it does, store
+the rectangle xy and the location of the mouse click in data coordinates.
+In the motion event callback, compute the deltax and deltay of the
+mouse movement, and add those deltas to the origin of the rectangle
+you stored, then redraw the figure.  On the button release event, just
+reset all the button press data you stored as None.
+
+Here is the solution::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    class DraggableRectangle:
+        def __init__(self, rect):
+            self.rect = rect
+            self.press = None
+
+        def connect(self):
+            """Connect to all the events we need."""
+            self.cidpress = self.rect.figure.canvas.mpl_connect(
+                'button_press_event', self.on_press)
+            self.cidrelease = self.rect.figure.canvas.mpl_connect(
+                'button_release_event', self.on_release)
+            self.cidmotion = self.rect.figure.canvas.mpl_connect(
+                'motion_notify_event', self.on_motion)
+
+        def on_press(self, event):
+            """Check whether mouse is over us; if so, store some data."""
+            if event.inaxes != self.rect.axes:
+                return
+            contains, attrd = self.rect.contains(event)
+            if not contains:
+                return
+            print('event contains', self.rect.xy)
+            self.press = self.rect.xy, (event.xdata, event.ydata)
+
+        def on_motion(self, event):
+            """Move the rectangle if the mouse is over us."""
+            if self.press is None or event.inaxes != self.rect.axes:
+                return
+            (x0, y0), (xpress, ypress) = self.press
+            dx = event.xdata - xpress
+            dy = event.ydata - ypress
+            # print(f'x0={x0}, xpress={xpress}, event.xdata={event.xdata}, '
+            #       f'dx={dx}, x0+dx={x0+dx}')
+            self.rect.set_x(x0+dx)
+            self.rect.set_y(y0+dy)
+
+            self.rect.figure.canvas.draw()
+
+        def on_release(self, event):
+            """Clear button press information."""
+            self.press = None
+            self.rect.figure.canvas.draw()
+
+        def disconnect(self):
+            """Disconnect all callbacks."""
+            self.rect.figure.canvas.mpl_disconnect(self.cidpress)
+            self.rect.figure.canvas.mpl_disconnect(self.cidrelease)
+            self.rect.figure.canvas.mpl_disconnect(self.cidmotion)
+
+    fig, ax = plt.subplots()
+    rects = ax.bar(range(10), 20*np.random.rand(10))
+    drs = []
+    for rect in rects:
+        dr = DraggableRectangle(rect)
+        dr.connect()
+        drs.append(dr)
+
+    plt.show()
+
+
+**Extra credit**: Use blitting to make the animated drawing faster and
+smoother.
+
+Extra credit solution::
+
+    # Draggable rectangle with blitting.
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    class DraggableRectangle:
+        lock = None  # only one can be animated at a time
+
+        def __init__(self, rect):
+            self.rect = rect
+            self.press = None
+            self.background = None
+
+        def connect(self):
+            """Connect to all the events we need."""
+            self.cidpress = self.rect.figure.canvas.mpl_connect(
+                'button_press_event', self.on_press)
+            self.cidrelease = self.rect.figure.canvas.mpl_connect(
+                'button_release_event', self.on_release)
+            self.cidmotion = self.rect.figure.canvas.mpl_connect(
+                'motion_notify_event', self.on_motion)
+
+        def on_press(self, event):
+            """Check whether mouse is over us; if so, store some data."""
+            if (event.inaxes != self.rect.axes
+                    or DraggableRectangle.lock is not None):
+                return
+            contains, attrd = self.rect.contains(event)
+            if not contains:
+                return
+            print('event contains', self.rect.xy)
+            self.press = self.rect.xy, (event.xdata, event.ydata)
+            DraggableRectangle.lock = self
+
+            # draw everything but the selected rectangle and store the pixel buffer
+            canvas = self.rect.figure.canvas
+            axes = self.rect.axes
+            self.rect.set_animated(True)
+            canvas.draw()
+            self.background = canvas.copy_from_bbox(self.rect.axes.bbox)
+
+            # now redraw just the rectangle
+            axes.draw_artist(self.rect)
+
+            # and blit just the redrawn area
+            canvas.blit(axes.bbox)
+
+        def on_motion(self, event):
+            """Move the rectangle if the mouse is over us."""
+            if (event.inaxes != self.rect.axes
+                    or DraggableRectangle.lock is not self):
+                return
+            (x0, y0), (xpress, ypress) = self.press
+            dx = event.xdata - xpress
+            dy = event.ydata - ypress
+            self.rect.set_x(x0+dx)
+            self.rect.set_y(y0+dy)
+
+            canvas = self.rect.figure.canvas
+            axes = self.rect.axes
+            # restore the background region
+            canvas.restore_region(self.background)
+
+            # redraw just the current rectangle
+            axes.draw_artist(self.rect)
+
+            # blit just the redrawn area
+            canvas.blit(axes.bbox)
+
+        def on_release(self, event):
+            """Clear button press information."""
+            if DraggableRectangle.lock is not self:
+                return
+
+            self.press = None
+            DraggableRectangle.lock = None
+
+            # turn off the rect animation property and reset the background
+            self.rect.set_animated(False)
+            self.background = None
+
+            # redraw the full figure
+            self.rect.figure.canvas.draw()
+
+        def disconnect(self):
+            """Disconnect all callbacks."""
+            self.rect.figure.canvas.mpl_disconnect(self.cidpress)
+            self.rect.figure.canvas.mpl_disconnect(self.cidrelease)
+            self.rect.figure.canvas.mpl_disconnect(self.cidmotion)
+
+    fig, ax = plt.subplots()
+    rects = ax.bar(range(10), 20*np.random.rand(10))
+    drs = []
+    for rect in rects:
+        dr = DraggableRectangle(rect)
+        dr.connect()
+        drs.append(dr)
+
+    plt.show()
+
+.. _enter-leave-events:
+
+Mouse enter and leave
+======================
+
+If you want to be notified when the mouse enters or leaves a figure or
+axes, you can connect to the figure/axes enter/leave events.  Here is
+a simple example that changes the colors of the axes and figure
+background that the mouse is over::
+
+    """
+    Illustrate the figure and axes enter and leave events by changing the
+    frame colors on enter and leave
+    """
+    import matplotlib.pyplot as plt
+
+    def enter_axes(event):
+        print('enter_axes', event.inaxes)
+        event.inaxes.patch.set_facecolor('yellow')
+        event.canvas.draw()
+
+    def leave_axes(event):
+        print('leave_axes', event.inaxes)
+        event.inaxes.patch.set_facecolor('white')
+        event.canvas.draw()
+
+    def enter_figure(event):
+        print('enter_figure', event.canvas.figure)
+        event.canvas.figure.patch.set_facecolor('red')
+        event.canvas.draw()
+
+    def leave_figure(event):
+        print('leave_figure', event.canvas.figure)
+        event.canvas.figure.patch.set_facecolor('grey')
+        event.canvas.draw()
+
+    fig1, axs = plt.subplots(2)
+    fig1.suptitle('mouse hover over figure or axes to trigger events')
+
+    fig1.canvas.mpl_connect('figure_enter_event', enter_figure)
+    fig1.canvas.mpl_connect('figure_leave_event', leave_figure)
+    fig1.canvas.mpl_connect('axes_enter_event', enter_axes)
+    fig1.canvas.mpl_connect('axes_leave_event', leave_axes)
+
+    fig2, axs = plt.subplots(2)
+    fig2.suptitle('mouse hover over figure or axes to trigger events')
+
+    fig2.canvas.mpl_connect('figure_enter_event', enter_figure)
+    fig2.canvas.mpl_connect('figure_leave_event', leave_figure)
+    fig2.canvas.mpl_connect('axes_enter_event', enter_axes)
+    fig2.canvas.mpl_connect('axes_leave_event', leave_axes)
+
+    plt.show()
+
+.. _object-picking:
+
+Object picking
+==============
+
+You can enable picking by setting the ``picker`` property of an `.Artist` (such
+as `.Line2D`, `.Text`, `.Patch`, `.Polygon`, `.AxesImage`, etc.)
+
+The ``picker`` property can be set using various types:
+
+``None``
+    Picking is disabled for this artist (default).
+``boolean``
+    If True, then picking will be enabled and the artist will fire a
+    pick event if the mouse event is over the artist.
+``callable``
+    If picker is a callable, it is a user supplied function which
+    determines whether the artist is hit by the mouse event.  The
+    signature is ``hit, props = picker(artist, mouseevent)`` to
+    determine the hit test.  If the mouse event is over the artist,
+    return ``hit = True``; ``props`` is a dictionary of properties that
+    become additional attributes on the `.PickEvent`.
+
+The artist's ``pickradius`` property can additionally be set to a tolerance
+value in points (there are 72 points per inch) that determines how far the
+mouse can be and still trigger a mouse event.
+
+After you have enabled an artist for picking by setting the ``picker``
+property, you need to connect a handler to the figure canvas pick_event to get
+pick callbacks on mouse press events.  The handler typically looks like ::
+
+    def pick_handler(event):
+        mouseevent = event.mouseevent
+        artist = event.artist
+        # now do something with this...
+
+The `.PickEvent` passed to your callback always has the following attributes:
+
+``mouseevent``
+    The `.MouseEvent` that generate the pick event.  See event-attributes_
+    for a list of useful attributes on the mouse event.
+``artist``
+    The `.Artist` that generated the pick event.
+
+Additionally, certain artists like `.Line2D` and `.PatchCollection` may attach
+additional metadata, like the indices of the data that meet the
+picker criteria (e.g., all the points in the line that are within the
+specified ``pickradius`` tolerance).
+
+Simple picking example
+----------------------
+
+In the example below, we enable picking on the line and set a pick radius
+tolerance in points.  The ``onpick``
+callback function will be called when the pick event it within the
+tolerance distance from the line, and has the indices of the data
+vertices that are within the pick distance tolerance.  Our ``onpick``
+callback function simply prints the data that are under the pick
+location.  Different Matplotlib Artists can attach different data to
+the PickEvent.  For example, ``Line2D`` attaches the ind property,
+which are the indices into the line data under the pick point.  See
+`!.Line2D.pick` for details on the ``PickEvent`` properties of the line.  ::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+    ax.set_title('click on points')
+
+    line, = ax.plot(np.random.rand(100), 'o',
+                    picker=True, pickradius=5)  # 5 points tolerance
+
+    def onpick(event):
+        thisline = event.artist
+        xdata = thisline.get_xdata()
+        ydata = thisline.get_ydata()
+        ind = event.ind
+        points = tuple(zip(xdata[ind], ydata[ind]))
+        print('onpick points:', points)
+
+    fig.canvas.mpl_connect('pick_event', onpick)
+
+    plt.show()
+
+Picking exercise
+----------------
+
+Create a data set of 100 arrays of 1000 Gaussian random numbers and
+compute the sample mean and standard deviation of each of them (hint:
+NumPy arrays have a mean and std method) and make a xy marker plot of
+the 100 means vs. the 100 standard deviations.  Connect the line
+created by the plot command to the pick event, and plot the original
+time series of the data that generated the clicked on points.  If more
+than one point is within the tolerance of the clicked on point, you
+can use multiple subplots to plot the multiple time series.
+
+Exercise solution::
+
+    """
+    Compute the mean and stddev of 100 data sets and plot mean vs. stddev.
+    When you click on one of the (mean, stddev) points, plot the raw dataset
+    that generated that point.
+    """
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    X = np.random.rand(100, 1000)
+    xs = np.mean(X, axis=1)
+    ys = np.std(X, axis=1)
+
+    fig, ax = plt.subplots()
+    ax.set_title('click on point to plot time series')
+    line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)  # 5 points tolerance
+
+
+    def onpick(event):
+        if event.artist != line:
+            return
+        n = len(event.ind)
+        if not n:
+            return
+        fig, axs = plt.subplots(n, squeeze=False)
+        for dataind, ax in zip(event.ind, axs.flat):
+            ax.plot(X[dataind])
+            ax.text(0.05, 0.9,
+                    f"$\\mu$={xs[dataind]:1.3f}\n$\\sigma$={ys[dataind]:1.3f}",
+                    transform=ax.transAxes, verticalalignment='top')
+            ax.set_ylim(-0.5, 1.5)
+        fig.show()
+        return True
+
+
+    fig.canvas.mpl_connect('pick_event', onpick)
+    plt.show()
diff --git a/galleries/users_explain/figure/figure_intro.rst b/galleries/users_explain/figure/figure_intro.rst
new file mode 100644
index 000000000000..80cbb3aeeb45
--- /dev/null
+++ b/galleries/users_explain/figure/figure_intro.rst
@@ -0,0 +1,269 @@
+
+.. redirect-from:: /users/explain/figure
+
+.. _figure-intro:
+
++++++++++++++++++++++++
+Introduction to Figures
++++++++++++++++++++++++
+
+.. plot::
+    :include-source:
+
+    fig = plt.figure(figsize=(2, 2), facecolor='lightskyblue',
+                     layout='constrained')
+    fig.suptitle('Figure')
+    ax = fig.add_subplot()
+    ax.set_title('Axes', loc='left', fontstyle='oblique', fontsize='medium')
+
+When looking at Matplotlib visualization, you are almost always looking at
+Artists placed on a `~.Figure`.  In the example above, the figure is the
+blue region and `~.Figure.add_subplot` has added an `~.axes.Axes` artist to the
+`~.Figure` (see :ref:`figure_parts`).  A more complicated visualization can add
+multiple Axes to the Figure, colorbars, legends, annotations, and the Axes
+themselves can have multiple Artists added to them
+(e.g. ``ax.plot`` or ``ax.imshow``).
+
+.. contents:: :local:
+
+
+.. _viewing_figures:
+
+Viewing Figures
+================
+
+We will discuss how to create Figures in more detail below, but first it is
+helpful to understand how to view a Figure.  This varies based on how you are
+using Matplotlib, and what :ref:`Backend <what-is-a-backend>` you are using.
+
+.. _notebooks-and-ides:
+
+Notebooks and IDEs
+------------------
+
+.. figure:: /_static/FigureInline.png
+    :alt: Image of figure generated in Jupyter Notebook with inline backend.
+    :width: 400
+
+    Screenshot of a `Jupyter Notebook <https://jupyter.org>`_, with a figure
+    generated via the default `inline
+    <https://github.com/ipython/matplotlib-inline>`_ backend.
+
+
+If you are using a Notebook (e.g. `Jupyter <https://jupyter.org>`_) or an IDE
+that renders Notebooks (PyCharm, VSCode, etc), then they have a backend that
+will render the Matplotlib Figure when a code cell is executed.  The default
+Jupyter backend (``%matplotlib inline``) creates static plots that
+by default trim or expand the figure size to have a tight box around Artists
+added to the Figure (see :ref:`saving_figures`, below).  For interactive plots
+in Jupyter you will need to use an ipython "magic" like ``%matplotlib widget``
+for the  `ipympl <https://matplotlib.org/ipympl/>`_ backend in ``jupyter lab``
+or ``notebook>=7``, or ``%matplotlib notebook`` for the Matplotlib
+:ref:`notebook <jupyter_notebooks_jupyterlab>` in ``notebook<7`` or
+``nbclassic``.
+
+.. note::
+
+    The  `ipympl <https://matplotlib.org/ipympl/>`_ backend is in a separate
+    package, see :ref:`Installing ipympl <ipympl_install>`.
+
+.. figure:: /_static/FigureNotebook.png
+    :alt: Image of figure generated in Jupyter Notebook with notebook
+          backend, including a toolbar.
+    :width: 400
+
+    Screenshot of a  Jupyter Notebook with an interactive figure generated via
+    the ``%matplotlib notebook`` magic.  Users should also try the similar
+    `widget <https://matplotlib.org/ipympl/>`_ backend if using `JupyterLab
+    <https://jupyterlab.readthedocs.io/en/stable/>`_.
+
+
+.. seealso::
+    :ref:`interactive_figures`.
+
+.. _standalone-scripts-and-interactive-use:
+
+Standalone scripts and interactive use
+--------------------------------------
+
+If the user is on a client with a windowing system, there are a number of
+:ref:`Backends <what-is-a-backend>` that can be used to render the Figure to
+the screen, usually using a Python Qt, Tk, or Wx toolkit, or the native MacOS
+backend.  These are typically chosen either in the user's :ref:`matplotlibrc
+<customizing-with-matplotlibrc-files>`, or by calling, for example,
+``matplotlib.use('QtAgg')`` at the beginning of a session or script.
+
+.. figure:: /_static/FigureQtAgg.png
+    :alt: Image of figure generated from a script via the QtAgg backend.
+    :width: 370
+
+    Screenshot of a Figure generated via a python script and shown using the
+    QtAgg backend.
+
+When run from a script, or interactively (e.g. from an
+`IPython shell <https://ipython.readthedocs.io/en/stable/>`_) the Figure
+will not be shown until we call ``plt.show()``. The Figure will appear in
+a new GUI window, and usually will have a toolbar with Zoom, Pan, and other tools
+for interacting with the Figure.  By default, ``plt.show()`` blocks
+further interaction from the script or shell until the Figure window is closed,
+though that can be toggled off for some purposes.  For more details, please see
+:ref:`controlling-interactive`.
+
+Note that if you are on a client that does not have access to a windowing
+system, the Figure will fallback to being drawn using the "Agg" backend, and
+cannot be viewed, though it can be :ref:`saved <saving_figures>`.
+
+.. seealso::
+    :ref:`interactive_figures`.
+
+.. _creating_figures:
+
+Creating Figures
+================
+
+By far the most common way to create a figure is using the
+:ref:`pyplot <pyplot_tutorial>` interface. As noted in
+:ref:`api_interfaces`, the pyplot interface serves two purposes.  One is to spin
+up the Backend and keep track of GUI windows. The other is a global state for
+Axes and Artists that allow a short-form API to plotting methods. In the
+example above, we use pyplot for the first purpose, and create the Figure object,
+``fig``. As a side effect ``fig`` is also added to pyplot's global state, and
+can be accessed via `~.pyplot.gcf`.
+
+Users typically want an Axes or a grid of Axes when they create a Figure, so in
+addition to `~.pyplot.figure`, there are convenience methods that return both
+a Figure and some Axes.  A simple grid of Axes can be achieved with
+`.pyplot.subplots` (which
+simply wraps `.Figure.subplots`):
+
+.. plot::
+    :include-source:
+
+    fig, axs = plt.subplots(2, 2, figsize=(4, 3), layout='constrained')
+
+More complex grids can be achieved with `.pyplot.subplot_mosaic` (which wraps
+`.Figure.subplot_mosaic`):
+
+.. plot::
+    :include-source:
+
+    fig, axs = plt.subplot_mosaic([['A', 'right'], ['B', 'right']],
+                                  figsize=(4, 3), layout='constrained')
+    for ax_name, ax in axs.items():
+        ax.text(0.5, 0.5, ax_name, ha='center', va='center')
+
+Sometimes we want to have a nested layout in a Figure, with two or more sets of
+Axes that do not share the same subplot grid.
+We can use `~.Figure.add_subfigure` or `~.Figure.subfigures` to create virtual
+figures inside a parent Figure; see
+:doc:`/gallery/subplots_axes_and_figures/subfigures` for more details.
+
+.. plot::
+    :include-source:
+
+    fig = plt.figure(layout='constrained', facecolor='lightskyblue')
+    fig.suptitle('Figure')
+    figL, figR = fig.subfigures(1, 2)
+    figL.set_facecolor('thistle')
+    axL = figL.subplots(2, 1, sharex=True)
+    axL[1].set_xlabel('x [m]')
+    figL.suptitle('Left subfigure')
+    figR.set_facecolor('paleturquoise')
+    axR = figR.subplots(1, 2, sharey=True)
+    axR[0].set_title('Axes 1')
+    figR.suptitle('Right subfigure')
+
+It is possible to directly instantiate a `.Figure` instance without using the
+pyplot interface.  This is usually only necessary if you want to create your
+own GUI application or service that you do not want carrying the pyplot global
+state.  See the embedding examples in :ref:`user_interfaces` for examples of
+how to do this.
+
+Figure options
+--------------
+
+There are a few options available when creating figures.  The Figure size on
+the screen is set by *figsize* and *dpi*.  *figsize* is the ``(width, height)``
+of the Figure in inches (or, if preferred, units of 72 typographic points).  *dpi*
+are how many pixels per inch the figure will be rendered at.  To make your Figures
+appear on the screen at the physical size you requested, you should set *dpi*
+to the same *dpi* as your graphics system.  Note that many graphics systems now use
+a "dpi ratio" to specify how many screen pixels are used to represent a graphics
+pixel.  Matplotlib applies the dpi ratio to the *dpi* passed to the figure to make
+it have higher resolution, so you should pass the lower number to the figure.
+
+The *facecolor*, *edgecolor*, *linewidth*, and *frameon* options all change the appearance of the
+figure in expected ways, with *frameon* making the figure transparent if set to *False*.
+
+Finally, the user can specify a layout engine for the figure with the *layout*
+parameter.  Currently Matplotlib supplies
+:ref:`"constrained" <constrainedlayout_guide>`,
+:ref:`"compressed" <compressed_layout>` and
+:ref:`"tight" <tight_layout_guide>` layout engines.  These
+rescale axes inside the Figure to prevent overlap of ticklabels, and try and align
+axes, and can save significant manual adjustment of artists on a Figure for many
+common cases.
+
+Adding Artists
+--------------
+
+The `~.Figure` class has a number of methods for adding artists to a `~.Figure` or
+a `~.SubFigure`.  By far the most common are to add Axes of various configurations
+(`~.Figure.add_axes`, `~.Figure.add_subplot`, `~.Figure.subplots`,
+`~.Figure.subplot_mosaic`) and subfigures (`~.Figure.subfigures`).  Colorbars
+are added to Axes or group of Axes at the Figure level (`~.Figure.colorbar`).
+It is also possible to have a Figure-level legend (`~.Figure.legend`).
+Other Artists include figure-wide labels (`~.Figure.suptitle`,
+`~.Figure.supxlabel`, `~.Figure.supylabel`) and text (`~.Figure.text`).
+Finally, low-level Artists can be added directly using `~.Figure.add_artist`
+usually with care being taken to use the appropriate transform.  Usually these
+include ``Figure.transFigure`` which ranges from 0 to 1 in each direction, and
+represents the fraction of the current Figure size, or ``Figure.dpi_scale_trans``
+which will be in physical units of inches from the bottom left corner of the Figure
+(see :ref:`transforms_tutorial` for more details).
+
+
+.. _saving_figures:
+
+Saving Figures
+==============
+
+Finally, Figures can be saved to disk using the `~.Figure.savefig` method.
+``fig.savefig('MyFigure.png', dpi=200)`` will save a PNG formatted figure to
+the file ``MyFigure.png`` in the current directory on disk with 200 dots-per-inch
+resolution.  Note that the filename can include a relative or absolute path to
+any place on the file system.
+
+Many types of output are supported, including raster formats like PNG, GIF, JPEG,
+TIFF and vector formats like PDF, EPS, and SVG.
+
+By default, the size of the saved Figure is set by the Figure size (in inches) and, for the raster
+formats, the *dpi*.  If *dpi* is not set, then the *dpi* of the Figure is used.
+Note that *dpi* still has meaning for vector formats like PDF if the Figure includes
+Artists that have been :doc:`rasterized </gallery/misc/rasterization_demo>`; the
+*dpi* specified will be the resolution of the rasterized objects.
+
+It is possible to change the size of the Figure using the *bbox_inches* argument
+to savefig.  This can be specified manually, again in inches.  However, by far
+the most common use is ``bbox_inches='tight'``.  This option "shrink-wraps", trimming
+or expanding as needed, the size of the figure so that it is tight around all the artists
+in a figure, with a small pad that can be specified by *pad_inches*, which defaults to
+0.1 inches.  The dashed box in the plot below shows the portion of the figure that
+would be saved if ``bbox_inches='tight'`` were used in savefig.
+
+.. plot::
+
+    import matplotlib.pyplot as plt
+    from matplotlib.patches import FancyBboxPatch
+
+    fig, ax = plt.subplots(figsize=(4, 2), facecolor='lightskyblue')
+    ax.set_position([0.1, 0.2, 0.8, 0.7])
+    ax.set_aspect(1)
+    bb = ax.get_tightbbox()
+    bb = bb.padded(10)
+    bb = bb.transformed(fig.dpi_scale_trans.inverted())
+    fancy = FancyBboxPatch(bb.p0, bb.width, bb.height, fc='none',
+                           ec=(0, 0.0, 0, 0.5), lw=2, linestyle='--',
+                           transform=fig.dpi_scale_trans,
+                           clip_on=False, boxstyle='Square, pad=0')
+    ax.add_patch(fancy)
diff --git a/galleries/users_explain/figure/index.rst b/galleries/users_explain/figure/index.rst
new file mode 100644
index 000000000000..753c24b62a5c
--- /dev/null
+++ b/galleries/users_explain/figure/index.rst
@@ -0,0 +1,38 @@
+.. _figures_and_backends:
+
+++++++++++++++++++++
+Figures and backends
+++++++++++++++++++++
+
+When looking at Matplotlib visualization, you are almost always looking at
+Artists placed on a `~.Figure`.  In the example below, the figure is the
+blue region and `~.Figure.add_subplot` has added an `~.axes.Axes` artist to the
+`~.Figure` (see :ref:`figure_parts`).  A more complicated visualization can add
+multiple Axes to the Figure, colorbars, legends, annotations, and the Axes
+themselves can have multiple Artists added to them
+(e.g. ``ax.plot`` or ``ax.imshow``).
+
+.. plot::
+    :include-source:
+
+    fig = plt.figure(figsize=(4, 2), facecolor='lightskyblue',
+                     layout='constrained')
+    fig.suptitle('A nice Matplotlib Figure')
+    ax = fig.add_subplot()
+    ax.set_title('Axes', loc='left', fontstyle='oblique', fontsize='medium')
+
+
+.. toctree::
+    :maxdepth: 2
+
+    Introduction to figures <figure_intro>
+
+.. toctree::
+    :maxdepth: 1
+
+    Output backends <backends>
+    Matplotlib Application Interfaces (APIs) <api_interfaces>
+    Interacting with figures <interactive>
+    Interactive figures and asynchronous programming <interactive_guide>
+    Event handling <event_handling>
+    Writing a backend -- the pyplot interface <writing_a_backend_pyplot_interface>
diff --git a/galleries/users_explain/figure/interactive.rst b/galleries/users_explain/figure/interactive.rst
new file mode 100644
index 000000000000..c6fc3c2025d7
--- /dev/null
+++ b/galleries/users_explain/figure/interactive.rst
@@ -0,0 +1,385 @@
+.. redirect-from:: /users/interactive
+.. redirect-from:: /users/explain/interactive
+
+.. currentmodule:: matplotlib
+
+.. _mpl-shell:
+.. _interactive_figures:
+
+===================
+Interactive figures
+===================
+
+Interactivity can be invaluable when exploring plots. The pan/zoom and
+mouse-location tools built into the Matplotlib GUI windows are often sufficient, but
+you can also use the event system to build customized data exploration tools.
+
+.. seealso::
+    :ref:`figure-intro`.
+
+
+Matplotlib ships with :ref:`backends <what-is-a-backend>` binding to
+several GUI toolkits (Qt, Tk, Wx, GTK, macOS, JavaScript) and third party
+packages provide bindings to `kivy
+<https://github.com/kivy-garden/garden.matplotlib>`__ and `Jupyter Lab
+<https://matplotlib.org/ipympl>`__.  For the figures to be responsive to
+mouse, keyboard, and paint events, the GUI event loop needs to be integrated
+with an interactive prompt. We recommend using IPython (see :ref:`below <ipython-pylab>`).
+
+The `.pyplot` module provides functions for explicitly creating figures
+that include interactive tools, a toolbar, a tool-tip, and
+:ref:`key bindings <key-event-handling>`:
+
+`.pyplot.figure`
+    Creates a new empty `.Figure` or selects an existing figure
+
+`.pyplot.subplots`
+    Creates a new `.Figure` and fills it with a grid of `~.axes.Axes`
+
+`.pyplot.gcf`
+    Get the current `.Figure`. If there is current no figure on the pyplot figure
+    stack, a new figure is created
+
+`.pyplot.gca`
+    Get the current `~.axes.Axes`. If there is current no Axes on the Figure,
+    a new one is created
+
+Almost all of the functions in `.pyplot` pass through the current `.Figure` / `~.axes.Axes`
+(or create one) as appropriate.
+
+Matplotlib keeps a reference to all of the open figures
+created via `pyplot.figure` or `pyplot.subplots` so that the figures will not be garbage
+collected. `.Figure`\s can be closed and deregistered from `.pyplot` individually via
+`.pyplot.close`; all open `.Figure`\s can be closed via ``plt.close('all')``.
+
+
+.. seealso::
+
+   For more discussion of Matplotlib's event system and integrated event loops:
+   - :ref:`interactive_figures_and_eventloops`
+   - :ref:`event-handling`
+
+
+.. _ipython-pylab:
+
+IPython integration
+===================
+
+We recommend using IPython for an interactive shell.  In addition to
+all of its features (improved tab-completion, magics, multiline editing, etc),
+it also ensures that the GUI toolkit event loop is properly integrated
+with the command line (see :ref:`cp_integration`).
+
+In this example, we create and modify a figure via an IPython prompt.
+The figure displays in a QtAgg GUI window. To configure the integration
+and enable :ref:`interactive mode <controlling-interactive>` use the
+``%matplotlib`` magic:
+
+.. highlight:: ipython
+
+::
+
+   In [1]: %matplotlib
+   Using matplotlib backend: QtAgg
+
+   In [2]: import matplotlib.pyplot as plt
+
+Create a new figure window:
+
+::
+
+   In [3]: fig, ax = plt.subplots()
+
+
+Add a line plot of the data to the window:
+
+::
+
+   In [4]: ln, = ax.plot(range(5))
+
+Change the color of the line from blue to orange:
+
+::
+
+   In [5]: ln.set_color('orange')
+
+If you wish to disable automatic redrawing of the plot:
+
+::
+
+   In [6]: plt.ioff()
+
+If you wish to re-enable automatic redrawing of the plot:
+
+::
+
+   In [7]: plt.ion()
+
+
+In recent versions of ``Matplotlib`` and ``IPython``, it is
+sufficient to import `matplotlib.pyplot` and call `.pyplot.ion`.
+Using the ``%`` magic is guaranteed to work in all versions of Matplotlib and IPython.
+
+
+.. highlight:: python
+
+.. _controlling-interactive:
+
+Interactive mode
+================
+
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   pyplot.ion
+   pyplot.ioff
+   pyplot.isinteractive
+
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   pyplot.show
+   pyplot.pause
+
+
+Interactive mode controls:
+
+- whether created figures are automatically shown
+- whether changes to artists automatically trigger re-drawing existing figures
+- when `.pyplot.show()` returns if given no arguments: immediately, or after all of the figures have been closed
+
+If in interactive mode:
+
+- newly created figures will be displayed immediately
+- figures will automatically redraw when elements are changed
+- `pyplot.show()` displays the figures and immediately returns
+
+If not in interactive mode:
+
+- newly created figures and changes to figures are not displayed until
+
+  * `.pyplot.show()` is called
+  * `.pyplot.pause()` is called
+  * `.FigureCanvasBase.flush_events()` is called
+
+- `pyplot.show()` runs the GUI event loop and does not return until all the plot windows are closed
+
+If you are in non-interactive mode (or created figures while in
+non-interactive mode) you may need to explicitly call `.pyplot.show`
+to display the windows on your screen.  If you only want to run the
+GUI event loop for a fixed amount of time, you can use `.pyplot.pause`.
+This will block the progress of your code as if you had called
+`time.sleep`, ensure the current window is shown and re-drawn if needed,
+and run the GUI event loop for the specified period of time.
+
+The GUI event loop being integrated with your command prompt and
+the figures being in interactive mode are independent of each other.
+If you try to use `pyplot.ion` without arranging for the event-loop integration,
+your figures will appear but will not be interactive while the prompt is waiting for input.
+You will not be able to pan/zoom and the figure may not even render
+(the window might appear black, transparent, or as a snapshot of the
+desktop under it).  Conversely, if you configure the event loop
+integration, displayed figures will be responsive while waiting for input
+at the prompt, regardless of pyplot's "interactive mode".
+
+No matter what combination of interactive mode setting and event loop integration,
+figures will be responsive if you use ``pyplot.show(block=True)``, `.pyplot.pause`, or run
+the GUI main loop in some other way.
+
+
+.. warning::
+
+   Using `.Figure.show`, it is possible to display a figure on
+   the screen without starting the event loop and without being in
+   interactive mode.  This may work (depending on the GUI toolkit) but
+   will likely result in a non-responsive figure.
+
+
+.. _default_ui:
+
+Default UI
+==========
+
+The windows created by :mod:`~.pyplot` have an interactive toolbar with navigation
+buttons and a readout of the data values the cursor is pointing at.
+
+.. _navigation-toolbar:
+
+Interactive navigation
+======================
+
+.. image:: ../../../_static/toolbar.png
+
+All figure windows come with a navigation toolbar, which can be used
+to navigate through the data set.
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/home_large.png
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/back_large.png
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/forward_large.png
+
+The ``Home``, ``Forward`` and ``Back`` buttons
+    These are similar to a web browser's home, forward and back controls.
+    ``Forward`` and ``Back`` are used to navigate back and forth between
+    previously defined views.  They have no meaning unless you have already
+    navigated somewhere else using the pan and zoom buttons.  This is analogous
+    to trying to click ``Back`` on your web browser before visiting a
+    new page or ``Forward`` before you have gone back to a page --
+    nothing happens.  ``Home`` takes you to the
+    first, default view of your data.
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/move_large.png
+
+The ``Pan/Zoom`` button
+    This button has two modes: pan and zoom.  Click the ``Pan/Zoom`` button
+    to activate panning and zooming, then put your mouse somewhere
+    over an axes.  Press the left mouse button and hold it to pan the
+    figure, dragging it to a new position.  When you release it, the
+    data under the point where you pressed will be moved to the point
+    where you released.  If you press 'x' or 'y' while panning the
+    motion will be constrained to the x or y axis, respectively.  Press
+    the right mouse button to zoom, dragging it to a new position.
+    The x axis will be zoomed in proportionately to the rightward
+    movement and zoomed out proportionately to the leftward movement.
+    The same is true for the y axis and up/down motions (up zooms in, down zooms out).
+    The point under your mouse when you begin the zoom remains stationary, allowing you to
+    zoom in or out around that point as much as you wish.  You can use the
+    modifier keys 'x', 'y' or 'CONTROL' to constrain the zoom to the x
+    axis, the y axis, or aspect ratio preserve, respectively.
+
+    With polar plots, the pan and zoom functionality behaves
+    differently.  The radius axis labels can be dragged using the left
+    mouse button.  The radius scale can be zoomed in and out using the
+    right mouse button.
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/zoom_to_rect_large.png
+
+The ``Zoom-to-Rectangle`` button
+    Put your mouse somewhere over an axes and press a mouse button.  Define a rectangular region by
+    dragging the mouse while holding the button to a new location.  When using
+    the left mouse button, the axes view limits will be zoomed to the defined
+    region.  When using the right mouse button, the axes view limits will be
+    zoomed out, placing the original axes in the defined region.
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/subplots_large.png
+
+The ``Subplot-configuration`` button
+    Use this button to configure the appearance of the subplot.
+    You can stretch or compress the left, right, top, or bottom
+    side of the subplot, or the space between the rows or
+    space between the columns.
+
+.. image:: ../../../../lib/matplotlib/mpl-data/images/filesave_large.png
+
+The ``Save`` button
+    Click this button to launch a file save dialog.  You can save
+    files with the following extensions: ``png``, ``ps``, ``eps``,
+    ``svg`` and ``pdf``.
+
+
+.. _key-event-handling:
+
+Navigation keyboard shortcuts
+-----------------------------
+
+A number of helpful keybindings are registered by default.  The following table
+holds all the default keys, which can be overwritten by use of your
+:ref:`matplotlibrc <customizing>`.
+
+================================== ===============================
+Command                            Default key binding and rcParam
+================================== ===============================
+Home/Reset                         :rc:`keymap.home`
+Back                               :rc:`keymap.back`
+Forward                            :rc:`keymap.forward`
+Pan/Zoom                           :rc:`keymap.pan`
+Zoom-to-rect                       :rc:`keymap.zoom`
+Save                               :rc:`keymap.save`
+Toggle fullscreen                  :rc:`keymap.fullscreen`
+Toggle major grids                 :rc:`keymap.grid`
+Toggle minor grids                 :rc:`keymap.grid_minor`
+Toggle x axis scale (log/linear)   :rc:`keymap.xscale`
+Toggle y axis scale (log/linear)   :rc:`keymap.yscale`
+Close Figure                       :rc:`keymap.quit`
+Constrain pan/zoom to x axis       hold **x** when panning/zooming with mouse
+Constrain pan/zoom to y axis       hold **y** when panning/zooming with mouse
+Preserve aspect ratio              hold **CONTROL** when panning/zooming with mouse
+================================== ===============================
+
+
+.. _other-shells:
+
+Other Python prompts
+====================
+
+Interactive mode works in the default Python prompt:
+
+
+.. sourcecode:: pycon
+
+   >>> import matplotlib.pyplot as plt
+   >>> plt.ion()
+   >>>
+
+However, this does not ensure that the event hook is properly installed
+and your figures may not be responsive.  Please consult the
+documentation of your GUI toolkit for details.
+
+
+.. _jupyter_notebooks_jupyterlab:
+
+Jupyter Notebooks / JupyterLab
+------------------------------
+
+To get interactive figures in the 'classic' notebook or Jupyter lab,
+use the `ipympl <https://matplotlib.org/ipympl>`__ backend
+(must be installed separately) which uses the **ipywidget** framework.
+If ``ipympl`` is installed use the magic:
+
+.. sourcecode:: ipython
+
+  %matplotlib widget
+
+to select and enable it.
+
+If you only need to use the classic notebook (i.e. ``notebook<7``), you can use
+
+.. sourcecode:: ipython
+
+  %matplotlib notebook
+
+which uses the `.backend_nbagg` backend provided by Matplotlib;
+however, nbagg does not work in Jupyter Lab.
+
+.. note::
+
+   To get the interactive functionality described here, you must be
+   using an interactive backend.  The default backend in notebooks,
+   the inline backend, is not.  `!ipykernel.pylab.backend_inline`
+   renders the figure once and inserts a static image into the
+   notebook when the cell is executed.  Because the images are static, they
+   cannot be panned / zoomed, take user input, or be updated from other
+   cells.
+
+GUIs + Jupyter
+^^^^^^^^^^^^^^
+
+You can also use one of the non-``ipympl`` GUI backends in a Jupyter Notebook.
+If you are running your Jupyter kernel locally, the GUI window will spawn on
+your desktop adjacent to your web browser. If you run your notebook on a remote server,
+the kernel will try to open the GUI window on the remote computer. Unless you have
+arranged to forward the xserver back to your desktop, you will not be able to
+see or interact with the window. It may also raise an exception.
+
+
+
+PyCharm, Spyder, and VSCode
+---------------------------
+
+Many IDEs have built-in integration with Matplotlib, please consult their
+documentation for configuration details.
diff --git a/galleries/users_explain/figure/interactive_guide.rst b/galleries/users_explain/figure/interactive_guide.rst
new file mode 100644
index 000000000000..21658bb5849b
--- /dev/null
+++ b/galleries/users_explain/figure/interactive_guide.rst
@@ -0,0 +1,450 @@
+.. _interactive_figures_and_eventloops:
+
+.. redirect-from:: /users/interactive_guide
+
+.. currentmodule:: matplotlib
+
+
+================================================
+Interactive figures and asynchronous programming
+================================================
+
+Matplotlib supports rich interactive figures by embedding figures into
+a GUI window.  The basic interactions of panning and zooming in an
+Axes to inspect your data is available out-of-the-box.  This is
+supported by a full mouse and keyboard event handling system that
+you can use to build sophisticated interactive graphs.
+
+This guide is meant to be an introduction to the low-level details of
+how Matplotlib integration with a GUI event loop works.  For a more
+practical introduction to the Matplotlib event API see :ref:`event
+handling system <event-handling>`, `Interactive Tutorial
+<https://github.com/matplotlib/interactive_tutorial>`__, and
+`Interactive Applications using Matplotlib
+<http://www.amazon.com/Interactive-Applications-using-Matplotlib-Benjamin/dp/1783988843>`__.
+
+
+GUI events
+==========
+
+All GUI frameworks (Qt, Wx, Gtk, Tk, macOS, or web) have some method of
+capturing user interactions and passing them back to the application, but
+the exact details depend on the toolkit (for example callbacks in Tk or
+the ``Signal`` / ``Slot`` framework in Qt).  The Matplotlib :ref:`backends
+<what-is-a-backend>` encapsulate the details of the GUI frameworks and
+provide a framework-independent interface to GUI events through Matplotlib's
+:ref:`event handling system <event-handling>`.  By connecting functions
+to the event handling system (see `.FigureCanvasBase.mpl_connect`), you can
+interactively respond to user actions in a GUI toolkit agnostic way.
+
+
+Event loops
+===========
+
+Fundamentally, all user interaction (and networking) is implemented as
+an infinite loop waiting for events from the user (via the OS) and
+then doing something about it.  For example, a minimal Read Evaluate
+Print Loop (REPL) is ::
+
+  exec_count = 0
+  while True:
+      inp = input(f"[{exec_count}] > ")        # Read
+      ret = eval(inp)                          # Evaluate
+      print(ret)                               # Print
+      exec_count += 1                          # Loop
+
+
+This is missing many niceties (for example, it exits on the first
+exception!), but is representative of the event loops that underlie
+all terminals, GUIs, and servers [#f1]_.  In general the *Read* step
+is waiting on some sort of I/O -- be it user input or the network --
+while the *Evaluate* and *Print* are responsible for interpreting the
+input and then **doing** something about it.
+
+In practice we interact with a framework that provides a mechanism to
+register callbacks to be run in response to specific events rather
+than directly implement the I/O loop [#f2]_.  For example "when the
+user clicks on this button, please run this function" or "when the
+user hits the 'z' key, please run this other function".  This allows
+users to write reactive, event-driven, programs without having to
+delve into the nitty-gritty [#f3]_ details of I/O.  The core event loop
+is sometimes referred to as "the main loop" and is typically started,
+depending on the library, by methods with names like ``exec``,
+``run``, or ``start``.
+
+
+.. _cp_integration:
+
+Command prompt integration
+==========================
+
+So far, so good.  We have the REPL (like the IPython terminal) that
+lets us interactively send code to the interpreter and get results
+back.  We also have the GUI toolkit that runs an event loop waiting
+for user input and lets us register functions to be run when that
+happens.  However, if we want to do both we have a problem: the prompt
+and the GUI event loop are both infinite loops and cannot run in
+parallel.  In order for both the prompt and the GUI windows to be
+responsive we need a method to allow the loops to "timeshare" :
+
+1. **Blocking the prompt**: let the GUI main loop block the python
+   process when you want interactive windows
+2. **Input hook integration**: let the CLI main loop block the python
+   process and intermittently run the GUI loop
+3. **Full embedding**: fully embed python in the GUI
+   (but this is basically writing a full application)
+
+.. _cp_block_the_prompt:
+
+Blocking the prompt
+-------------------
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   pyplot.show
+   pyplot.pause
+
+   backend_bases.FigureCanvasBase.start_event_loop
+   backend_bases.FigureCanvasBase.stop_event_loop
+
+
+The simplest solution is to start the GUI event loop and let it run
+exclusively, which results in responsive figure windows. However, the
+CLI event loop will not run, so that you cannot enter new commands.
+We call this "blocking" mode. (Your terminal may echo the typed characters,
+but they will not yet be processed by the CLI event loop because the Python
+interpreter is busy running the GUI event loop).
+
+It is possible to stop the GUI event loop and return control to the CLI
+event loop. You can then use the prompt again, but any still open figure
+windows are non-responsive. Re-starting the GUI event loop will make these
+figure responsive again (and will process any queued up user interaction).
+
+
+The typical command to show all figures and run the GUI event loop
+exclusively until all figures are closed is ::
+
+  plt.show()
+
+Alternatively, you can start the GUI event loop for a fixed amount of time
+using `.pyplot.pause`.
+
+If you are not using `.pyplot` you can start and stop the event loops
+via `.FigureCanvasBase.start_event_loop` and
+`.FigureCanvasBase.stop_event_loop`. However, in most contexts where
+you would not be using `.pyplot` you are embedding Matplotlib in a
+large GUI application and the GUI event loop should already be running
+for the application.
+
+Away from the prompt, this technique can be very useful if you want to
+write a script that pauses for user interaction, or displays a figure
+between polling for additional data.  See :ref:`interactive_scripts`
+for more details.
+
+
+Input hook integration
+----------------------
+
+While running the GUI event loop in a blocking mode or explicitly
+handling UI events is useful, we can do better!  We really want to be
+able to have a usable prompt **and** interactive figure windows.
+
+We can do this using the "input hook" feature of the interactive
+prompt.  This hook is called by the prompt as it waits for the user
+to type (even for a fast typist the prompt is mostly waiting for the
+human to think and move their fingers).  Although the details vary
+between prompts the logic is roughly
+
+1. start to wait for keyboard input
+2. start the GUI event loop
+3. as soon as the user hits a key, exit the GUI event loop and handle the key
+4. repeat
+
+This gives us the illusion of simultaneously having interactive GUI
+windows and an interactive prompt.  Most of the time the GUI event
+loop is running, but as soon as the user starts typing the prompt
+takes over again.
+
+This time-share technique only allows the event loop to run while
+python is otherwise idle and waiting for user input.  If you want the
+GUI to be responsive during long running code it is necessary to
+periodically flush the GUI event queue as described in :ref:`spin_event_loop`.
+In this case it is your code, not the REPL, which
+is blocking the process so you need to handle the "time-share" manually.
+Conversely, a very slow figure draw will block the prompt until it
+finishes drawing.
+
+Full embedding
+==============
+
+It is also possible to go the other direction and fully embed figures
+(and a `Python interpreter
+<https://docs.python.org/3/extending/embedding.html>`__) in a rich
+native application.  Matplotlib provides classes for each toolkit
+which can be directly embedded in GUI applications (this is how the
+built-in windows are implemented!).  See :ref:`user_interfaces` for
+more details.
+
+
+.. _interactive_scripts :
+
+Scripts and functions
+=====================
+
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   backend_bases.FigureCanvasBase.flush_events
+   backend_bases.FigureCanvasBase.draw_idle
+
+   figure.Figure.ginput
+   pyplot.ginput
+
+   pyplot.show
+   pyplot.pause
+
+There are several use-cases for using interactive figures in scripts:
+
+- capture user input to steer the script
+- progress updates as a long running script progresses
+- streaming updates from a data source
+
+Blocking functions
+------------------
+
+If you only need to collect points in an Axes you can use
+`.Figure.ginput`.  However if you have written some custom event
+handling or are using `.widgets` you will need to manually run the GUI
+event loop using the methods described :ref:`above <cp_block_the_prompt>`.
+
+You can also use the methods described in :ref:`cp_block_the_prompt`
+to suspend run the GUI event loop.  Once the loop exits your code will
+resume.  In general, any place you would use `time.sleep` you can use
+`.pyplot.pause` instead with the added benefit of interactive figures.
+
+For example, if you want to poll for data you could use something like ::
+
+  fig, ax = plt.subplots()
+  ln, = ax.plot([], [])
+
+  while True:
+      x, y = get_new_data()
+      ln.set_data(x, y)
+      plt.pause(1)
+
+which would poll for new data and update the figure at 1Hz.
+
+.. _spin_event_loop:
+
+Explicitly spinning the event loop
+----------------------------------
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   backend_bases.FigureCanvasBase.flush_events
+   backend_bases.FigureCanvasBase.draw_idle
+
+
+
+If you have open windows that have pending UI
+events (mouse clicks, button presses, or draws) you can explicitly
+process those events by calling `.FigureCanvasBase.flush_events`.
+This will run the GUI event loop until all UI events currently waiting
+have been processed.  The exact behavior is backend-dependent but
+typically events on all figure are processed and only events waiting
+to be processed (not those added during processing) will be handled.
+
+For example ::
+
+   import time
+   import matplotlib.pyplot as plt
+   import numpy as np
+   plt.ion()
+
+   fig, ax = plt.subplots()
+   th = np.linspace(0, 2*np.pi, 512)
+   ax.set_ylim(-1.5, 1.5)
+
+   ln, = ax.plot(th, np.sin(th))
+
+   def slow_loop(N, ln):
+       for j in range(N):
+           time.sleep(.1)  # to simulate some work
+           ln.figure.canvas.flush_events()
+
+   slow_loop(100, ln)
+
+While this will feel a bit laggy (as we are only processing user input
+every 100ms whereas 20-30ms is what feels "responsive") it will
+respond.
+
+If you make changes to the plot and want it re-rendered you will need
+to call `~.FigureCanvasBase.draw_idle` to request that the canvas be
+re-drawn.  This method can be thought of *draw_soon* in analogy to
+`asyncio.loop.call_soon`.
+
+We can add this to our example above as ::
+
+   def slow_loop(N, ln):
+       for j in range(N):
+           time.sleep(.1)  # to simulate some work
+           if j % 10:
+               ln.set_ydata(np.sin(((j // 10) % 5 * th)))
+               ln.figure.canvas.draw_idle()
+
+           ln.figure.canvas.flush_events()
+
+   slow_loop(100, ln)
+
+
+The more frequently you call `.FigureCanvasBase.flush_events` the more
+responsive your figure will feel but at the cost of spending more
+resources on the visualization and less on your computation.
+
+
+.. _stale_artists:
+
+Stale artists
+=============
+
+Artists (as of Matplotlib 1.5) have a **stale** attribute which is
+`True` if the internal state of the artist has changed since the last
+time it was rendered. By default the stale state is propagated up to
+the Artists parents in the draw tree, e.g., if the color of a `.Line2D`
+instance is changed, the `~.axes.Axes` and `.Figure` that
+contain it will also be marked as "stale".  Thus, ``fig.stale`` will
+report if any artist in the figure has been modified and is out of sync
+with what is displayed on the screen.  This is intended to be used to
+determine if ``draw_idle`` should be called to schedule a re-rendering
+of the figure.
+
+Each artist has a `!Artist.stale_callback` attribute which holds a callback
+with the signature ::
+
+  def callback(self: Artist, val: bool) -> None:
+     ...
+
+which by default is set to a function that forwards the stale state to
+the artist's parent.   If you wish to suppress a given artist from propagating
+set this attribute to None.
+
+`.Figure` instances do not have a containing artist and their
+default callback is `None`.  If you call `.pyplot.ion` and are not in
+``IPython`` we will install a callback to invoke
+`~.backend_bases.FigureCanvasBase.draw_idle` whenever the
+`.Figure` becomes stale.  In ``IPython`` we use the
+``'post_execute'`` hook to invoke
+`~.backend_bases.FigureCanvasBase.draw_idle` on any stale figures
+after having executed the user's input, but before returning the prompt
+to the user.  If you are not using `.pyplot` you can use the callback
+`!Figure.stale_callback` attribute to be notified when a figure has
+become stale.
+
+
+.. _draw_idle:
+
+Idle draw
+=========
+
+.. autosummary::
+   :template: autosummary.rst
+   :nosignatures:
+
+   backend_bases.FigureCanvasBase.draw
+   backend_bases.FigureCanvasBase.draw_idle
+   backend_bases.FigureCanvasBase.flush_events
+
+
+In almost all cases, we recommend using
+`backend_bases.FigureCanvasBase.draw_idle` over
+`backend_bases.FigureCanvasBase.draw`.  ``draw`` forces a rendering of
+the figure whereas ``draw_idle`` schedules a rendering the next time
+the GUI window is going to re-paint the screen.  This improves
+performance by only rendering pixels that will be shown on the screen.  If
+you want to be sure that the screen is updated as soon as possible do ::
+
+  fig.canvas.draw_idle()
+  fig.canvas.flush_events()
+
+
+
+Threading
+=========
+
+Most GUI frameworks require that all updates to the screen, and hence
+their main event loop, run on the main thread.  This makes pushing
+periodic updates of a plot to a background thread impossible.
+Although it seems backwards, it is typically easier to push your
+computations to a background thread and periodically update
+the figure on the main thread.
+
+In general Matplotlib is not thread safe.  If you are going to update
+`.Artist` objects in one thread and draw from another you should make
+sure that you are locking in the critical sections.
+
+
+
+Event loop integration mechanism
+================================
+
+CPython / readline
+------------------
+
+The Python C API provides a hook, :c:data:`PyOS_InputHook`, to register a
+function to be run ("The function will be called when Python's
+interpreter prompt is about to become idle and wait for user input
+from the terminal.").  This hook can be used to integrate a second
+event loop (the GUI event loop) with the python input prompt loop.
+The hook functions typically exhaust all pending events on the GUI
+event queue, run the main loop for a short fixed amount of time, or
+run the event loop until a key is pressed on stdin.
+
+Matplotlib does not currently do any management of :c:data:`PyOS_InputHook` due
+to the wide range of ways that Matplotlib is used.  This management is left to
+downstream libraries -- either user code or the shell.  Interactive figures,
+even with Matplotlib in "interactive mode", may not work in the vanilla python
+repl if an appropriate :c:data:`PyOS_InputHook` is not registered.
+
+Input hooks, and helpers to install them, are usually included with
+the python bindings for GUI toolkits and may be registered on import.
+IPython also ships input hook functions for all of the GUI frameworks
+Matplotlib supports which can be installed via ``%matplotlib``.  This
+is the recommended method of integrating Matplotlib and a prompt.
+
+
+IPython / prompt_toolkit
+------------------------
+
+With IPython >= 5.0 IPython has changed from using CPython's readline
+based prompt to a ``prompt_toolkit`` based prompt.  ``prompt_toolkit``
+has the same conceptual input hook, which is fed into ``prompt_toolkit`` via the
+:meth:`!IPython.terminal.interactiveshell.TerminalInteractiveShell.inputhook`
+method.  The source for the ``prompt_toolkit`` input hooks lives at
+``IPython.terminal.pt_inputhooks``.
+
+
+
+.. rubric:: Footnotes
+
+.. [#f1] A limitation of this design is that you can only wait for one
+     input, if there is a need to multiplex between multiple sources
+     then the loop would look something like ::
+
+       fds = [...]
+       while True:                    # Loop
+           inp = select(fds).read()   # Read
+           eval(inp)                  # Evaluate / Print
+
+.. [#f2] Or you can `write your own
+         <https://www.youtube.com/watch?v=ZzfHjytDceU>`__ if you must.
+
+.. [#f3] These examples are aggressively dropping many of the
+     complexities that must be dealt with in the real world such as
+     keyboard interrupts, timeouts, bad input, resource
+     allocation and cleanup, etc.
diff --git a/galleries/users_explain/figure/writing_a_backend_pyplot_interface.rst b/galleries/users_explain/figure/writing_a_backend_pyplot_interface.rst
new file mode 100644
index 000000000000..5325b3d9ba4c
--- /dev/null
+++ b/galleries/users_explain/figure/writing_a_backend_pyplot_interface.rst
@@ -0,0 +1,130 @@
+.. redirect-from:: /users/explain/writing_a_backend_pyplot_interface
+
+.. _writing_backend_interface:
+
+=========================================
+Writing a backend -- the pyplot interface
+=========================================
+
+This page assumes general understanding of the information in the
+:ref:`backends` page, and is instead intended as reference for
+third-party backend implementers.  It also only deals with the interaction
+between backends and `.pyplot`, not with the rendering side, which is described
+in `.backend_template`.
+
+There are two APIs for defining backends: a new canvas-based API (introduced in
+Matplotlib 3.6), and an older function-based API.  The new API is simpler to
+implement because many methods can be inherited from "parent backends".  It is
+recommended if back-compatibility for Matplotlib < 3.6 is not a concern.
+However, the old API remains supported.
+
+Fundamentally, a backend module needs to provide information to `.pyplot`, so
+that
+
+1. `.pyplot.figure()` can create a new `.Figure` instance and associate it with
+   an instance of a backend-provided canvas class, itself hosted in an instance
+   of a backend-provided manager class.
+2. `.pyplot.show()` can show all figures and start the GUI event loop (if any).
+
+To do so, the backend module must define a ``backend_module.FigureCanvas``
+subclass of `.FigureCanvasBase`.  In the canvas-based API, this is the only
+strict requirement for backend modules.  The function-based API additionally
+requires many module-level functions to be defined.
+
+Canvas-based API (Matplotlib >= 3.6)
+------------------------------------
+
+1. **Creating a figure**: `.pyplot.figure()` calls
+   ``figure = Figure(); FigureCanvas.new_manager(figure, num)``
+   (``new_manager`` is a classmethod) to instantiate a canvas and a manager and
+   set up the ``figure.canvas`` and ``figure.canvas.manager`` attributes.
+   Figure unpickling uses the same approach, but replaces the newly
+   instantiated ``Figure()`` by the unpickled figure.
+
+   Interactive backends should customize the effect of ``new_manager`` by
+   setting the ``FigureCanvas.manager_class`` attribute to the desired manager
+   class, and additionally (if the canvas cannot be created before the manager,
+   as in the case of the wx backends) by overriding the
+   ``FigureManager.create_with_canvas`` classmethod.  (Non-interactive backends
+   can normally use a trivial ``FigureManagerBase`` and can therefore skip this
+   step.)
+
+   After a new figure is registered with `.pyplot` (either via
+   `.pyplot.figure()` or via unpickling), if in interactive mode, `.pyplot`
+   will call its canvas' ``draw_idle()`` method, which can be overridden as
+   desired.
+
+2. **Showing figures**: `.pyplot.show()` calls
+   ``FigureCanvas.manager_class.pyplot_show()`` (a classmethod), forwarding any
+   arguments, to start the main event loop.
+
+   By default, ``pyplot_show()`` checks whether there are any ``managers``
+   registered with `.pyplot` (exiting early if not), calls ``manager.show()``
+   on all such managers, and then, if called with ``block=True`` (or with
+   the default ``block=None`` and out of IPython's pylab mode and not in
+   interactive mode), calls ``FigureCanvas.manager_class.start_main_loop()``
+   (a classmethod) to start the main event loop.  Interactive backends should
+   therefore override the ``FigureCanvas.manager_class.start_main_loop``
+   classmethod accordingly (or alternatively, they may also directly override
+   ``FigureCanvas.manager_class.pyplot_show`` directly).
+
+Function-based API
+------------------
+
+1. **Creating a figure**: `.pyplot.figure()` calls
+   ``new_figure_manager(num, *args, **kwargs)`` (which also takes care of
+   creating the new figure as ``Figure(*args, **kwargs)``); unpickling calls
+   ``new_figure_manager_given_figure(num, figure)``.
+
+   Furthermore, in interactive mode, the first draw of the newly registered
+   figure can be customized by providing a module-level
+   ``draw_if_interactive()`` function.  (In the new canvas-based API, this
+   function is not taken into account anymore.)
+
+2. **Showing figures**: `.pyplot.show()` calls a module-level ``show()``
+   function, which is typically generated via the ``ShowBase`` class and its
+   ``mainloop`` method.
+
+Registering a backend
+---------------------
+
+For a new backend to be usable via ``matplotlib.use()`` or IPython
+``%matplotlib`` magic command, it must be compatible with one of the three ways
+supported by the :class:`~matplotlib.backends.registry.BackendRegistry`:
+
+Built-in
+^^^^^^^^
+
+A backend built into Matplotlib must have its name and
+``FigureCanvas.required_interactive_framework`` hard-coded in the
+:class:`~matplotlib.backends.registry.BackendRegistry`.  If the backend module
+is not ``f"matplotlib.backends.backend_{backend_name.lower()}"`` then there
+must also be an entry in the ``BackendRegistry._name_to_module``.
+
+module:// syntax
+^^^^^^^^^^^^^^^^
+
+Any backend in a separate module (not built into Matplotlib) can be used by
+specifying the path to the module in the form ``module://some.backend.module``.
+An example is ``module://mplcairo.qt`` for
+`mplcairo <https://github.com/matplotlib/mplcairo>`_.  The backend's
+interactive framework will be taken from its
+``FigureCanvas.required_interactive_framework``.
+
+Entry point
+^^^^^^^^^^^
+
+An external backend module can self-register as a backend using an
+``entry point`` in its ``pyproject.toml`` such as the one used by
+``matplotlib-inline``:
+
+.. code-block:: toml
+
+    [project.entry-points."matplotlib.backend"]
+    inline = "matplotlib_inline.backend_inline"
+
+The backend's interactive framework will be taken from its
+``FigureCanvas.required_interactive_framework``.  All entry points are loaded
+together but only when first needed, such as when a backend name is not
+recognised as a built-in backend, or when
+:meth:`~matplotlib.backends.registry.BackendRegistry.list_all` is first called.
diff --git a/galleries/users_explain/index.rst b/galleries/users_explain/index.rst
new file mode 100644
index 000000000000..aacf3bf18acf
--- /dev/null
+++ b/galleries/users_explain/index.rst
@@ -0,0 +1,7 @@
+..
+    This page is required by sphinx-gallery,
+    but is not rendered in the final doc build.
+
+====================
+User guide tutorials
+====================
diff --git a/galleries/users_explain/quick_start.py b/galleries/users_explain/quick_start.py
new file mode 100644
index 000000000000..f24d90e8495c
--- /dev/null
+++ b/galleries/users_explain/quick_start.py
@@ -0,0 +1,595 @@
+"""
+.. redirect-from:: /tutorials/introductory/usage
+.. redirect-from:: /tutorials/introductory/quick_start
+
+.. _quick_start:
+
+*****************
+Quick start guide
+*****************
+
+This tutorial covers some basic usage patterns and best practices to
+help you get started with Matplotlib.
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# sphinx_gallery_thumbnail_number = 3
+
+# %%
+#
+# A simple example
+# ================
+#
+# Matplotlib graphs your data on `.Figure`\s (e.g., windows, Jupyter
+# widgets, etc.), each of which can contain one or more `~.axes.Axes`, an
+# area where points can be specified in terms of x-y coordinates (or theta-r
+# in a polar plot, x-y-z in a 3D plot, etc.).  The simplest way of
+# creating a Figure with an Axes is using `.pyplot.subplots`. We can then use
+# `.Axes.plot` to draw some data on the Axes, and `~.pyplot.show` to display
+# the figure:
+
+fig, ax = plt.subplots()             # Create a figure containing a single Axes.
+ax.plot([1, 2, 3, 4], [1, 4, 2, 3])  # Plot some data on the Axes.
+plt.show()                           # Show the figure.
+
+# %%
+#
+# Depending on the environment you are working in, ``plt.show()`` can be left
+# out. This is for example the case with Jupyter notebooks, which
+# automatically show all figures created in a code cell.
+#
+# .. _figure_parts:
+#
+# Parts of a Figure
+# =================
+#
+# Here are the components of a Matplotlib Figure.
+#
+# .. image:: ../../_static/anatomy.png
+#
+# :class:`~matplotlib.figure.Figure`
+# ----------------------------------
+#
+# The **whole** figure.  The Figure keeps
+# track of all the child :class:`~matplotlib.axes.Axes`, a group of
+# 'special' Artists (titles, figure legends, colorbars, etc.), and
+# even nested subfigures.
+#
+# Typically, you'll create a new Figure through one of the following
+# functions::
+#
+#    fig = plt.figure()             # an empty figure with no Axes
+#    fig, ax = plt.subplots()       # a figure with a single Axes
+#    fig, axs = plt.subplots(2, 2)  # a figure with a 2x2 grid of Axes
+#    # a figure with one Axes on the left, and two on the right:
+#    fig, axs = plt.subplot_mosaic([['left', 'right_top'],
+#                                   ['left', 'right_bottom']])
+#
+# `~.pyplot.subplots()` and `~.pyplot.subplot_mosaic` are convenience functions
+# that additionally create Axes objects inside the Figure, but you can also
+# manually add Axes later on.
+#
+# For more on Figures, including panning and zooming, see :ref:`figure-intro`.
+#
+# :class:`~matplotlib.axes.Axes`
+# ------------------------------
+#
+# An Axes is an Artist attached to a Figure that contains a region for
+# plotting data, and usually includes two (or three in the case of 3D)
+# :class:`~matplotlib.axis.Axis` objects (be aware of the difference
+# between **Axes** and **Axis**) that provide ticks and tick labels to
+# provide scales for the data in the Axes. Each :class:`~.axes.Axes` also
+# has a title
+# (set via :meth:`~matplotlib.axes.Axes.set_title`), an x-label (set via
+# :meth:`~matplotlib.axes.Axes.set_xlabel`), and a y-label set via
+# :meth:`~matplotlib.axes.Axes.set_ylabel`).
+#
+# The `~.axes.Axes` methods are the primary interface for configuring
+# most parts of your plot (adding data, controlling axis scales and
+# limits, adding labels etc.).
+#
+# :class:`~matplotlib.axis.Axis`
+# ------------------------------
+#
+# These objects set the scale and limits and generate ticks (the marks
+# on the Axis) and ticklabels (strings labeling the ticks).  The location
+# of the ticks is determined by a `~matplotlib.ticker.Locator` object and the
+# ticklabel strings are formatted by a `~matplotlib.ticker.Formatter`.  The
+# combination of the correct `.Locator` and `.Formatter` gives very fine
+# control over the tick locations and labels.
+#
+# :class:`~matplotlib.artist.Artist`
+# ----------------------------------
+#
+# Basically, everything visible on the Figure is an Artist (even
+# `.Figure`, `Axes <.axes.Axes>`, and `~.axis.Axis` objects).  This includes
+# `.Text` objects, `.Line2D` objects, :mod:`.collections` objects, `.Patch`
+# objects, etc. When the Figure is rendered, all of the
+# Artists are drawn to the **canvas**.  Most Artists are tied to an Axes; such
+# an Artist cannot be shared by multiple Axes, or moved from one to another.
+#
+# .. _input_types:
+#
+# Types of inputs to plotting functions
+# =====================================
+#
+# Plotting functions expect `numpy.array` or `numpy.ma.masked_array` as
+# input, or objects that can be passed to `numpy.asarray`.
+# Classes that are similar to arrays ('array-like') such as `pandas`
+# data objects and `numpy.matrix` may not work as intended.  Common convention
+# is to convert these to `numpy.array` objects prior to plotting.
+# For example, to convert a `numpy.matrix` ::
+#
+#   b = np.matrix([[1, 2], [3, 4]])
+#   b_asarray = np.asarray(b)
+#
+# Most methods will also parse a string-indexable object like a *dict*, a
+# `structured numpy array`_, or a `pandas.DataFrame`.  Matplotlib allows you
+# to provide the ``data`` keyword argument and generate plots passing the
+# strings corresponding to the *x* and *y* variables.
+#
+# .. _structured numpy array: https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays  # noqa: E501
+
+np.random.seed(19680801)  # seed the random number generator.
+data = {'a': np.arange(50),
+        'c': np.random.randint(0, 50, 50),
+        'd': np.random.randn(50)}
+data['b'] = data['a'] + 10 * np.random.randn(50)
+data['d'] = np.abs(data['d']) * 100
+
+fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
+ax.scatter('a', 'b', c='c', s='d', data=data)
+ax.set_xlabel('entry a')
+ax.set_ylabel('entry b')
+
+# %%
+# .. _coding_styles:
+#
+# Coding styles
+# =============
+#
+# The explicit and the implicit interfaces
+# ----------------------------------------
+#
+# As noted above, there are essentially two ways to use Matplotlib:
+#
+# - Explicitly create Figures and Axes, and call methods on them (the
+#   "object-oriented (OO) style").
+# - Rely on pyplot to implicitly create and manage the Figures and Axes, and
+#   use pyplot functions for plotting.
+#
+# See :ref:`api_interfaces` for an explanation of the tradeoffs between the
+# implicit and explicit interfaces.
+#
+# So one can use the OO-style
+
+x = np.linspace(0, 2, 100)  # Sample data.
+
+# Note that even in the OO-style, we use `.pyplot.figure` to create the Figure.
+fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
+ax.plot(x, x, label='linear')  # Plot some data on the Axes.
+ax.plot(x, x**2, label='quadratic')  # Plot more data on the Axes...
+ax.plot(x, x**3, label='cubic')  # ... and some more.
+ax.set_xlabel('x label')  # Add an x-label to the Axes.
+ax.set_ylabel('y label')  # Add a y-label to the Axes.
+ax.set_title("Simple Plot")  # Add a title to the Axes.
+ax.legend()  # Add a legend.
+
+# %%
+# or the pyplot-style:
+
+x = np.linspace(0, 2, 100)  # Sample data.
+
+plt.figure(figsize=(5, 2.7), layout='constrained')
+plt.plot(x, x, label='linear')  # Plot some data on the (implicit) Axes.
+plt.plot(x, x**2, label='quadratic')  # etc.
+plt.plot(x, x**3, label='cubic')
+plt.xlabel('x label')
+plt.ylabel('y label')
+plt.title("Simple Plot")
+plt.legend()
+
+# %%
+# (In addition, there is a third approach, for the case when embedding
+# Matplotlib in a GUI application, which completely drops pyplot, even for
+# figure creation. See the corresponding section in the gallery for more info:
+# :ref:`user_interfaces`.)
+#
+# Matplotlib's documentation and examples use both the OO and the pyplot
+# styles. In general, we suggest using the OO style, particularly for
+# complicated plots, and functions and scripts that are intended to be reused
+# as part of a larger project. However, the pyplot style can be very convenient
+# for quick interactive work.
+#
+# .. note::
+#
+#    You may find older examples that use the ``pylab`` interface,
+#    via ``from pylab import *``. This approach is strongly deprecated.
+#
+# Making a helper functions
+# -------------------------
+#
+# If you need to make the same plots over and over again with different data
+# sets, or want to easily wrap Matplotlib methods, use the recommended
+# signature function below.
+
+
+def my_plotter(ax, data1, data2, param_dict):
+    """
+    A helper function to make a graph.
+    """
+    out = ax.plot(data1, data2, **param_dict)
+    return out
+
+# %%
+# which you would then use twice to populate two subplots:
+
+data1, data2, data3, data4 = np.random.randn(4, 100)  # make 4 random data sets
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(5, 2.7))
+my_plotter(ax1, data1, data2, {'marker': 'x'})
+my_plotter(ax2, data3, data4, {'marker': 'o'})
+
+# %%
+# Note that if you want to install these as a python package, or any other
+# customizations you could use one of the many templates on the web;
+# Matplotlib has one at `mpl-cookiecutter
+# <https://github.com/matplotlib/matplotlib-extension-cookiecutter>`_
+#
+#
+# Styling Artists
+# ===============
+#
+# Most plotting methods have styling options for the Artists, accessible either
+# when a plotting method is called, or from a "setter" on the Artist.  In the
+# plot below we manually set the *color*, *linewidth*, and *linestyle* of the
+# Artists created by `~.Axes.plot`, and we set the linestyle of the second line
+# after the fact with `~.Line2D.set_linestyle`.
+
+fig, ax = plt.subplots(figsize=(5, 2.7))
+x = np.arange(len(data1))
+ax.plot(x, np.cumsum(data1), color='blue', linewidth=3, linestyle='--')
+l, = ax.plot(x, np.cumsum(data2), color='orange', linewidth=2)
+l.set_linestyle(':')
+
+# %%
+# Colors
+# ------
+#
+# Matplotlib has a very flexible array of colors that are accepted for most
+# Artists; see :ref:`allowable color definitions <colors_def>` for a
+# list of specifications. Some Artists will take multiple colors.  i.e. for
+# a `~.Axes.scatter` plot, the edge of the markers can be different colors
+# from the interior:
+
+fig, ax = plt.subplots(figsize=(5, 2.7))
+ax.scatter(data1, data2, s=50, facecolor='C0', edgecolor='k')
+
+# %%
+# Linewidths, linestyles, and markersizes
+# ---------------------------------------
+#
+# Line widths are typically in typographic points (1 pt = 1/72 inch) and
+# available for Artists that have stroked lines.  Similarly, stroked lines
+# can have a linestyle.  See the :doc:`linestyles example
+# </gallery/lines_bars_and_markers/linestyles>`.
+#
+# Marker size depends on the method being used.  `~.Axes.plot` specifies
+# markersize in points, and is generally the "diameter" or width of the
+# marker.  `~.Axes.scatter` specifies markersize as approximately
+# proportional to the visual area of the marker.  There is an array of
+# markerstyles available as string codes (see :mod:`~.matplotlib.markers`), or
+# users can define their own `~.MarkerStyle` (see
+# :doc:`/gallery/lines_bars_and_markers/marker_reference`):
+
+fig, ax = plt.subplots(figsize=(5, 2.7))
+ax.plot(data1, 'o', label='data1')
+ax.plot(data2, 'd', label='data2')
+ax.plot(data3, 'v', label='data3')
+ax.plot(data4, 's', label='data4')
+ax.legend()
+
+# %%
+#
+# Labelling plots
+# ===============
+#
+# Axes labels and text
+# --------------------
+#
+# `~.Axes.set_xlabel`, `~.Axes.set_ylabel`, and `~.Axes.set_title` are used to
+# add text in the indicated locations (see :ref:`text_intro`
+# for more discussion).  Text can also be directly added to plots using
+# `~.Axes.text`:
+
+mu, sigma = 115, 15
+x = mu + sigma * np.random.randn(10000)
+fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
+# the histogram of the data
+n, bins, patches = ax.hist(x, 50, density=True, facecolor='C0', alpha=0.75)
+
+ax.set_xlabel('Length [cm]')
+ax.set_ylabel('Probability')
+ax.set_title('Aardvark lengths\n (not really)')
+ax.text(75, .025, r'$\mu=115,\ \sigma=15$')
+ax.axis([55, 175, 0, 0.03])
+ax.grid(True)
+
+# %%
+# All of the `~.Axes.text` functions return a `matplotlib.text.Text`
+# instance.  Just as with lines above, you can customize the properties by
+# passing keyword arguments into the text functions::
+#
+#   t = ax.set_xlabel('my data', fontsize=14, color='red')
+#
+# These properties are covered in more detail in
+# :ref:`text_props`.
+#
+# Using mathematical expressions in text
+# --------------------------------------
+#
+# Matplotlib accepts TeX equation expressions in any text expression.
+# For example to write the expression :math:`\sigma_i=15` in the title,
+# you can write a TeX expression surrounded by dollar signs::
+#
+#     ax.set_title(r'$\sigma_i=15$')
+#
+# where the ``r`` preceding the title string signifies that the string is a
+# *raw* string and not to treat backslashes as python escapes.
+# Matplotlib has a built-in TeX expression parser and
+# layout engine, and ships its own math fonts – for details see
+# :ref:`mathtext`.  You can also use LaTeX directly to format
+# your text and incorporate the output directly into your display figures or
+# saved postscript – see :ref:`usetex`.
+#
+# Annotations
+# -----------
+#
+# We can also annotate points on a plot, often by connecting an arrow pointing
+# to *xy*, to a piece of text at *xytext*:
+
+fig, ax = plt.subplots(figsize=(5, 2.7))
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2 * np.pi * t)
+line, = ax.plot(t, s, lw=2)
+
+ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
+            arrowprops=dict(facecolor='black', shrink=0.05))
+
+ax.set_ylim(-2, 2)
+
+# %%
+# In this basic example, both *xy* and *xytext* are in data coordinates.
+# There are a variety of other coordinate systems one can choose -- see
+# :ref:`annotations-tutorial` and :ref:`plotting-guide-annotation` for
+# details.  More examples also can be found in
+# :doc:`/gallery/text_labels_and_annotations/annotation_demo`.
+#
+# Legends
+# -------
+#
+# Often we want to identify lines or markers with a `.Axes.legend`:
+
+fig, ax = plt.subplots(figsize=(5, 2.7))
+ax.plot(np.arange(len(data1)), data1, label='data1')
+ax.plot(np.arange(len(data2)), data2, label='data2')
+ax.plot(np.arange(len(data3)), data3, 'd', label='data3')
+ax.legend()
+
+# %%
+# Legends in Matplotlib are quite flexible in layout, placement, and what
+# Artists they can represent. They are discussed in detail in
+# :ref:`legend_guide`.
+#
+# Axis scales and ticks
+# =====================
+#
+# Each Axes has two (or three) `~.axis.Axis` objects representing the x- and
+# y-axis. These control the *scale* of the Axis, the tick *locators* and the
+# tick *formatters*. Additional Axes can be attached to display further Axis
+# objects.
+#
+# Scales
+# ------
+#
+# In addition to the linear scale, Matplotlib supplies non-linear scales,
+# such as a log-scale.  Since log-scales are used so much there are also
+# direct methods like `~.Axes.loglog`, `~.Axes.semilogx`, and
+# `~.Axes.semilogy`.  There are a number of scales (see
+# :doc:`/gallery/scales/scales` for other examples).  Here we set the scale
+# manually:
+
+fig, axs = plt.subplots(1, 2, figsize=(5, 2.7), layout='constrained')
+xdata = np.arange(len(data1))  # make an ordinal for this
+data = 10**data1
+axs[0].plot(xdata, data)
+
+axs[1].set_yscale('log')
+axs[1].plot(xdata, data)
+
+# %%
+# The scale sets the mapping from data values to spacing along the Axis. This
+# happens in both directions, and gets combined into a *transform*, which
+# is the way that Matplotlib maps from data coordinates to Axes, Figure, or
+# screen coordinates.  See :ref:`transforms_tutorial`.
+#
+# Tick locators and formatters
+# ----------------------------
+#
+# Each Axis has a tick *locator* and *formatter* that choose where along the
+# Axis objects to put tick marks.  A simple interface to this is
+# `~.Axes.set_xticks`:
+
+fig, axs = plt.subplots(2, 1, layout='constrained')
+axs[0].plot(xdata, data1)
+axs[0].set_title('Automatic ticks')
+
+axs[1].plot(xdata, data1)
+axs[1].set_xticks(np.arange(0, 100, 30), ['zero', '30', 'sixty', '90'])
+axs[1].set_yticks([-1.5, 0, 1.5])  # note that we don't need to specify labels
+axs[1].set_title('Manual ticks')
+
+# %%
+# Different scales can have different locators and formatters; for instance
+# the log-scale above uses `~.LogLocator` and `~.LogFormatter`. See
+# :doc:`/gallery/ticks/tick-locators` and
+# :doc:`/gallery/ticks/tick-formatters` for other formatters and
+# locators and information for writing your own.
+#
+# Plotting dates and strings
+# --------------------------
+#
+# Matplotlib can handle plotting arrays of dates and arrays of strings, as
+# well as floating point numbers.  These get special locators and formatters
+# as appropriate.  For dates:
+
+from matplotlib.dates import ConciseDateFormatter
+
+fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
+dates = np.arange(np.datetime64('2021-11-15'), np.datetime64('2021-12-25'),
+                  np.timedelta64(1, 'h'))
+data = np.cumsum(np.random.randn(len(dates)))
+ax.plot(dates, data)
+ax.xaxis.set_major_formatter(ConciseDateFormatter(ax.xaxis.get_major_locator()))
+
+# %%
+# For more information see the date examples
+# (e.g. :doc:`/gallery/text_labels_and_annotations/date`)
+#
+# For strings, we get categorical plotting (see:
+# :doc:`/gallery/lines_bars_and_markers/categorical_variables`).
+
+fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
+categories = ['turnips', 'rutabaga', 'cucumber', 'pumpkins']
+
+ax.bar(categories, np.random.rand(len(categories)))
+
+# %%
+# One caveat about categorical plotting is that some methods of parsing
+# text files return a list of strings, even if the strings all represent
+# numbers or dates.  If you pass 1000 strings, Matplotlib will think you
+# meant 1000 categories and will add 1000 ticks to your plot!
+#
+#
+# Additional Axis objects
+# ------------------------
+#
+# Plotting data of different magnitude in one chart may require
+# an additional y-axis. Such an Axis can be created by using
+# `~.Axes.twinx` to add a new Axes with an invisible x-axis and a y-axis
+# positioned at the right (analogously for `~.Axes.twiny`). See
+# :doc:`/gallery/subplots_axes_and_figures/two_scales` for another example.
+#
+# Similarly, you can add a `~.Axes.secondary_xaxis` or
+# `~.Axes.secondary_yaxis` having a different scale than the main Axis to
+# represent the data in different scales or units. See
+# :doc:`/gallery/subplots_axes_and_figures/secondary_axis` for further
+# examples.
+
+fig, (ax1, ax3) = plt.subplots(1, 2, figsize=(7, 2.7), layout='constrained')
+l1, = ax1.plot(t, s)
+ax2 = ax1.twinx()
+l2, = ax2.plot(t, range(len(t)), 'C1')
+ax2.legend([l1, l2], ['Sine (left)', 'Straight (right)'])
+
+ax3.plot(t, s)
+ax3.set_xlabel('Angle [rad]')
+ax4 = ax3.secondary_xaxis('top', (np.rad2deg, np.deg2rad))
+ax4.set_xlabel('Angle [°]')
+
+# %%
+# Color mapped data
+# =================
+#
+# Often we want to have a third dimension in a plot represented by colors in
+# a colormap. Matplotlib has a number of plot types that do this:
+
+from matplotlib.colors import LogNorm
+
+X, Y = np.meshgrid(np.linspace(-3, 3, 128), np.linspace(-3, 3, 128))
+Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
+
+fig, axs = plt.subplots(2, 2, layout='constrained')
+pc = axs[0, 0].pcolormesh(X, Y, Z, vmin=-1, vmax=1, cmap='RdBu_r')
+fig.colorbar(pc, ax=axs[0, 0])
+axs[0, 0].set_title('pcolormesh()')
+
+co = axs[0, 1].contourf(X, Y, Z, levels=np.linspace(-1.25, 1.25, 11))
+fig.colorbar(co, ax=axs[0, 1])
+axs[0, 1].set_title('contourf()')
+
+pc = axs[1, 0].imshow(Z**2 * 100, cmap='plasma', norm=LogNorm(vmin=0.01, vmax=100))
+fig.colorbar(pc, ax=axs[1, 0], extend='both')
+axs[1, 0].set_title('imshow() with LogNorm()')
+
+pc = axs[1, 1].scatter(data1, data2, c=data3, cmap='RdBu_r')
+fig.colorbar(pc, ax=axs[1, 1], extend='both')
+axs[1, 1].set_title('scatter()')
+
+# %%
+# Colormaps
+# ---------
+#
+# These are all examples of Artists that derive from  `~.ScalarMappable`
+# objects.  They all can set a linear mapping between *vmin* and *vmax* into
+# the colormap specified by *cmap*.  Matplotlib has many colormaps to choose
+# from (:ref:`colormaps`) you can make your
+# own (:ref:`colormap-manipulation`) or download as
+# `third-party packages
+# <https://matplotlib.org/mpl-third-party/#colormaps-and-styles>`_.
+#
+# Normalizations
+# --------------
+#
+# Sometimes we want a non-linear mapping of the data to the colormap, as
+# in the ``LogNorm`` example above.  We do this by supplying the
+# ScalarMappable with the *norm* argument instead of *vmin* and *vmax*.
+# More normalizations are shown at :ref:`colormapnorms`.
+#
+# Colorbars
+# ---------
+#
+# Adding a `~.Figure.colorbar` gives a key to relate the color back to the
+# underlying data. Colorbars are figure-level Artists, and are attached to
+# a ScalarMappable (where they get their information about the norm and
+# colormap) and usually steal space from a parent Axes.  Placement of
+# colorbars can be complex: see
+# :ref:`colorbar_placement` for
+# details.  You can also change the appearance of colorbars with the
+# *extend* keyword to add arrows to the ends, and *shrink* and *aspect* to
+# control the size.  Finally, the colorbar will have default locators
+# and formatters appropriate to the norm.  These can be changed as for
+# other Axis objects.
+#
+#
+# Working with multiple Figures and Axes
+# ======================================
+#
+# You can open multiple Figures with multiple calls to
+# ``fig = plt.figure()`` or ``fig2, ax = plt.subplots()``.  By keeping the
+# object references you can add Artists to either Figure.
+#
+# Multiple Axes can be added a number of ways, but the most basic is
+# ``plt.subplots()`` as used above.  One can achieve more complex layouts,
+# with Axes objects spanning columns or rows, using `~.pyplot.subplot_mosaic`.
+
+fig, axd = plt.subplot_mosaic([['upleft', 'right'],
+                               ['lowleft', 'right']], layout='constrained')
+axd['upleft'].set_title('upleft')
+axd['lowleft'].set_title('lowleft')
+axd['right'].set_title('right')
+
+# %%
+# Matplotlib has quite sophisticated tools for arranging Axes: See
+# :ref:`arranging_axes` and :ref:`mosaic`.
+#
+#
+# More reading
+# ============
+#
+# For more plot types see :doc:`Plot types </plot_types/index>` and the
+# :doc:`API reference </api/index>`, in particular the
+# :doc:`Axes API </api/axes_api>`.
diff --git a/galleries/users_explain/text/README.txt b/galleries/users_explain/text/README.txt
new file mode 100644
index 000000000000..9046e991c924
--- /dev/null
+++ b/galleries/users_explain/text/README.txt
@@ -0,0 +1,14 @@
+.. redirect-from:: /tutorials/text
+
+.. _tutorials-text:
+
+Text
+----
+
+Matplotlib has extensive text support, including support for
+mathematical expressions, TrueType support for raster and
+vector outputs, newline separated text with arbitrary
+rotations, and Unicode support. These tutorials cover
+the basics of working with text in Matplotlib.
+
+For even more information see the :ref:`examples page <text_labels_and_annotations>`.
diff --git a/galleries/users_explain/text/annotations.py b/galleries/users_explain/text/annotations.py
new file mode 100644
index 000000000000..5cfb16c12715
--- /dev/null
+++ b/galleries/users_explain/text/annotations.py
@@ -0,0 +1,889 @@
+r"""
+.. redirect-from:: /gallery/userdemo/anchored_box04
+.. redirect-from:: /gallery/userdemo/annotate_explain
+.. redirect-from:: /gallery/userdemo/annotate_simple01
+.. redirect-from:: /gallery/userdemo/annotate_simple02
+.. redirect-from:: /gallery/userdemo/annotate_simple03
+.. redirect-from:: /gallery/userdemo/annotate_simple04
+.. redirect-from:: /gallery/userdemo/annotate_simple_coord01
+.. redirect-from:: /gallery/userdemo/annotate_simple_coord02
+.. redirect-from:: /gallery/userdemo/annotate_simple_coord03
+.. redirect-from:: /gallery/userdemo/annotate_text_arrow
+.. redirect-from:: /gallery/userdemo/connect_simple01
+.. redirect-from:: /gallery/userdemo/connectionstyle_demo
+.. redirect-from:: /tutorials/text/annotations
+
+.. _annotations:
+
+Annotations
+===========
+
+Annotations are graphical elements, often pieces of text, that explain, add
+context to, or otherwise highlight some portion of the visualized data.
+`~.Axes.annotate` supports a number of coordinate systems for flexibly
+positioning data and annotations relative to each other and a variety of
+options of for styling the text. Axes.annotate also provides an optional arrow
+from the text to the data and this arrow can be styled in various ways.
+`~.Axes.text` can also be used for simple text annotation, but does not
+provide as much flexibility in positioning and styling as `~.Axes.annotate`.
+
+.. contents:: Table of Contents
+   :depth: 3
+"""
+# %%
+# .. _annotations-tutorial:
+#
+# Basic annotation
+# ----------------
+#
+# In an annotation, there are two points to consider: the location of the data
+# being annotated *xy* and the location of the annotation text *xytext*.  Both
+# of these arguments are ``(x, y)`` tuples:
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = ax.plot(t, s, lw=2)
+
+ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
+            arrowprops=dict(facecolor='black', shrink=0.05))
+ax.set_ylim(-2, 2)
+
+# %%
+# In this example, both the *xy* (arrow tip) and *xytext* locations
+# (text location) are in data coordinates.  There are a variety of other
+# coordinate systems one can choose -- you can specify the coordinate
+# system of *xy* and *xytext* with one of the following strings for
+# *xycoords* and *textcoords* (default is 'data')
+#
+# ==================  ========================================================
+# argument            coordinate system
+# ==================  ========================================================
+# 'figure points'     points from the lower left corner of the figure
+# 'figure pixels'     pixels from the lower left corner of the figure
+# 'figure fraction'   (0, 0) is lower left of figure and (1, 1) is upper right
+# 'axes points'       points from lower left corner of the Axes
+# 'axes pixels'       pixels from lower left corner of the Axes
+# 'axes fraction'     (0, 0) is lower left of Axes and (1, 1) is upper right
+# 'data'              use the axes data coordinate system
+# ==================  ========================================================
+#
+# The following strings are also valid arguments for *textcoords*
+#
+# ==================  ========================================================
+# argument            coordinate system
+# ==================  ========================================================
+# 'offset points'     offset (in points) from the xy value
+# 'offset pixels'     offset (in pixels) from the xy value
+# ==================  ========================================================
+#
+# For physical coordinate systems (points or pixels) the origin is the
+# bottom-left of the figure or Axes. Points are
+# `typographic points <https://en.wikipedia.org/wiki/Point_(typography)>`_
+# meaning that they are a physical unit measuring 1/72 of an inch. Points and
+# pixels are discussed in further detail in :ref:`transforms-fig-scale-dpi`.
+#
+# .. _annotation-data:
+#
+# Annotating data
+# ^^^^^^^^^^^^^^^
+#
+# This example places the text coordinates in fractional axes coordinates:
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = ax.plot(t, s, lw=2)
+
+ax.annotate('local max', xy=(2, 1), xycoords='data',
+            xytext=(0.01, .99), textcoords='axes fraction',
+            va='top', ha='left',
+            arrowprops=dict(facecolor='black', shrink=0.05))
+ax.set_ylim(-2, 2)
+
+# %%
+#
+# Annotating an Artist
+# ^^^^^^^^^^^^^^^^^^^^
+#
+# Annotations can be positioned relative to an `.Artist` instance by passing
+# that Artist in as *xycoords*. Then *xy* is interpreted as a fraction of the
+# Artist's bounding box.
+
+import matplotlib.patches as mpatches
+
+fig, ax = plt.subplots(figsize=(3, 3))
+arr = mpatches.FancyArrowPatch((1.25, 1.5), (1.75, 1.5),
+                               arrowstyle='->,head_width=.15', mutation_scale=20)
+ax.add_patch(arr)
+ax.annotate("label", (.5, .5), xycoords=arr, ha='center', va='bottom')
+ax.set(xlim=(1, 2), ylim=(1, 2))
+
+# %%
+# Here the annotation is placed at position (.5,.5) relative to the arrow's
+# lower left corner and is vertically and horizontally at that position.
+# Vertically, the bottom aligns to that reference point so that the label
+# is above the line. For an example of chaining annotation Artists, see the
+# :ref:`Artist section <artist_annotation_coord>` of
+# :ref:`annotating_coordinate_systems`.
+#
+#
+# .. _annotation-with-arrow:
+#
+# Annotating with arrows
+# ^^^^^^^^^^^^^^^^^^^^^^
+#
+# You can enable drawing of an arrow from the text to the annotated point
+# by giving a dictionary of arrow properties in the optional keyword
+# argument *arrowprops*.
+#
+# ==================== =====================================================
+# *arrowprops* key     description
+# ==================== =====================================================
+# width                the width of the arrow in points
+# frac                 the fraction of the arrow length occupied by the head
+# headwidth            the width of the base of the arrow head in points
+# shrink               move the tip and base some percent away from
+#                      the annotated point and text
+#
+# \*\*kwargs           any key for :class:`matplotlib.patches.Polygon`,
+#                      e.g., ``facecolor``
+# ==================== =====================================================
+#
+# In the example below, the *xy* point is in the data coordinate system
+# since *xycoords* defaults to 'data'. For a polar Axes, this is in
+# (theta, radius) space. The text in this example is placed in the
+# fractional figure coordinate system. :class:`matplotlib.text.Text`
+# keyword arguments like *horizontalalignment*, *verticalalignment* and
+# *fontsize* are passed from `~matplotlib.axes.Axes.annotate` to the
+# ``Text`` instance.
+
+fig = plt.figure()
+ax = fig.add_subplot(projection='polar')
+r = np.arange(0, 1, 0.001)
+theta = 2 * 2*np.pi * r
+line, = ax.plot(theta, r, color='#ee8d18', lw=3)
+
+ind = 800
+thisr, thistheta = r[ind], theta[ind]
+ax.plot([thistheta], [thisr], 'o')
+ax.annotate('a polar annotation',
+            xy=(thistheta, thisr),  # theta, radius
+            xytext=(0.05, 0.05),    # fraction, fraction
+            textcoords='figure fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='left',
+            verticalalignment='bottom')
+
+# %%
+# For more on plotting with arrows, see :ref:`annotation_with_custom_arrow`
+#
+# .. _annotations-offset-text:
+#
+# Placing text annotations relative to data
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# Annotations can be positioned at a relative offset to the *xy* input to
+# annotation by setting the *textcoords* keyword argument to ``'offset points'``
+# or ``'offset pixels'``.
+
+fig, ax = plt.subplots(figsize=(3, 3))
+x = [1, 3, 5, 7, 9]
+y = [2, 4, 6, 8, 10]
+annotations = ["A", "B", "C", "D", "E"]
+ax.scatter(x, y, s=20)
+
+for xi, yi, text in zip(x, y, annotations):
+    ax.annotate(text,
+                xy=(xi, yi), xycoords='data',
+                xytext=(1.5, 1.5), textcoords='offset points')
+
+# %%
+# The annotations are offset 1.5 points (1.5*1/72 inches) from the *xy* values.
+#
+# .. _plotting-guide-annotation:
+#
+# Advanced annotation
+# -------------------
+#
+# We recommend reading :ref:`annotations-tutorial`, :func:`~matplotlib.pyplot.text`
+# and :func:`~matplotlib.pyplot.annotate` before reading this section.
+#
+# Annotating with boxed text
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# `~.Axes.text` takes a *bbox* keyword argument, which draws a box around the
+# text:
+
+fig, ax = plt.subplots(figsize=(5, 5))
+t = ax.text(0.5, 0.5, "Direction",
+            ha="center", va="center", rotation=45, size=15,
+            bbox=dict(boxstyle="rarrow,pad=0.3",
+                      fc="lightblue", ec="steelblue", lw=2))
+
+# %%
+# The arguments are the name of the box style with its attributes as
+# keyword arguments. Currently, following box styles are implemented:
+#
+# ==========   ==============   ==========================
+# Class        Name             Attrs
+# ==========   ==============   ==========================
+# Circle       ``circle``       pad=0.3
+# DArrow       ``darrow``       pad=0.3
+# Ellipse      ``ellipse``      pad=0.3
+# LArrow       ``larrow``       pad=0.3
+# RArrow       ``rarrow``       pad=0.3
+# Round        ``round``        pad=0.3,rounding_size=None
+# Round4       ``round4``       pad=0.3,rounding_size=None
+# Roundtooth   ``roundtooth``   pad=0.3,tooth_size=None
+# Sawtooth     ``sawtooth``     pad=0.3,tooth_size=None
+# Square       ``square``       pad=0.3
+# ==========   ==============   ==========================
+#
+# .. figure:: /gallery/shapes_and_collections/images/sphx_glr_fancybox_demo_001.png
+#    :target: /gallery/shapes_and_collections/fancybox_demo.html
+#    :align: center
+#
+# The patch object (box) associated with the text can be accessed using::
+#
+#     bb = t.get_bbox_patch()
+#
+# The return value is a `.FancyBboxPatch`; patch properties
+# (facecolor, edgewidth, etc.) can be accessed and modified as usual.
+# `.FancyBboxPatch.set_boxstyle` sets the box shape::
+#
+#    bb.set_boxstyle("rarrow", pad=0.6)
+#
+# The attribute arguments can also be specified within the style
+# name with separating comma::
+#
+#    bb.set_boxstyle("rarrow, pad=0.6")
+#
+#
+# Defining custom box styles
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# Custom box styles can be implemented as a function that takes arguments specifying
+# both a rectangular box and the amount of "mutation", and returns the "mutated" path.
+# The specific signature is the one of ``custom_box_style`` below.
+#
+# Here, we return a new path which adds an "arrow" shape on the left of the box.
+#
+# The custom box style can then be used by passing
+# ``bbox=dict(boxstyle=custom_box_style, ...)`` to `.Axes.text`.
+
+from matplotlib.path import Path
+
+
+def custom_box_style(x0, y0, width, height, mutation_size):
+    """
+    Given the location and size of the box, return the path of the box around it.
+
+    Rotation is automatically taken care of.
+
+    Parameters
+    ----------
+    x0, y0, width, height : float
+       Box location and size.
+    mutation_size : float
+        Mutation reference scale, typically the text font size.
+    """
+    # padding
+    mypad = 0.3
+    pad = mutation_size * mypad
+    # width and height with padding added.
+    width = width + 2 * pad
+    height = height + 2 * pad
+    # boundary of the padded box
+    x0, y0 = x0 - pad, y0 - pad
+    x1, y1 = x0 + width, y0 + height
+    # return the new path
+    return Path([(x0, y0), (x1, y0), (x1, y1), (x0, y1),
+                 (x0-pad, (y0+y1)/2), (x0, y0), (x0, y0)],
+                closed=True)
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ax.text(0.5, 0.5, "Test", size=30, va="center", ha="center", rotation=30,
+        bbox=dict(boxstyle=custom_box_style, alpha=0.2))
+
+# %%
+# Likewise, custom box styles can be implemented as classes that implement
+# ``__call__``.
+#
+# The classes can then be registered into the ``BoxStyle._style_list`` dict,
+# which allows specifying the box style as a string,
+# ``bbox=dict(boxstyle="registered_name,param=value,...", ...)``.
+# Note that this registration relies on internal APIs and is therefore not
+# officially supported.
+
+from matplotlib.patches import BoxStyle
+
+
+class MyStyle:
+    """A simple box."""
+
+    def __init__(self, pad=0.3):
+        """
+        The arguments must be floats and have default values.
+
+        Parameters
+        ----------
+        pad : float
+            amount of padding
+        """
+        self.pad = pad
+        super().__init__()
+
+    def __call__(self, x0, y0, width, height, mutation_size):
+        """
+        Given the location and size of the box, return the path of the box around it.
+
+        Rotation is automatically taken care of.
+
+        Parameters
+        ----------
+        x0, y0, width, height : float
+            Box location and size.
+        mutation_size : float
+            Reference scale for the mutation, typically the text font size.
+        """
+        # padding
+        pad = mutation_size * self.pad
+        # width and height with padding added
+        width = width + 2 * pad
+        height = height + 2 * pad
+        # boundary of the padded box
+        x0, y0 = x0 - pad, y0 - pad
+        x1, y1 = x0 + width, y0 + height
+        # return the new path
+        return Path([(x0, y0), (x1, y0), (x1, y1), (x0, y1),
+                     (x0-pad, (y0+y1)/2), (x0, y0), (x0, y0)],
+                    closed=True)
+
+
+BoxStyle._style_list["angled"] = MyStyle  # Register the custom style.
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ax.text(0.5, 0.5, "Test", size=30, va="center", ha="center", rotation=30,
+        bbox=dict(boxstyle="angled,pad=0.5", alpha=0.2))
+
+del BoxStyle._style_list["angled"]  # Unregister it.
+
+# %%
+# Similarly, you can define a custom `.ConnectionStyle` and a custom `.ArrowStyle`. View
+# the source code at `.patches` to learn how each class is defined.
+#
+# .. _annotation_with_custom_arrow:
+#
+# Customizing annotation arrows
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# An arrow connecting *xy* to *xytext* can be optionally drawn by
+# specifying the *arrowprops* argument. To draw only an arrow, use
+# empty string as the first argument:
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ax.annotate("",
+            xy=(0.2, 0.2), xycoords='data',
+            xytext=(0.8, 0.8), textcoords='data',
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3"))
+
+# %%
+# The arrow is drawn as follows:
+#
+# 1. A path connecting the two points is created, as specified by the
+#    *connectionstyle* parameter.
+# 2. The path is clipped to avoid patches *patchA* and *patchB*, if these are
+#    set.
+# 3. The path is further shrunk by *shrinkA* and *shrinkB* (in pixels).
+# 4. The path is transmuted to an arrow patch, as specified by the *arrowstyle*
+#    parameter.
+#
+# .. plot::
+#     :show-source-link: False
+#
+#     import matplotlib.patches as mpatches
+#
+#     x1, y1 = 0.3, 0.3
+#     x2, y2 = 0.7, 0.7
+#     arrowprops = {
+#         "1. connect with connectionstyle":
+#             dict(arrowstyle="-", patchB=False, shrinkB=0),
+#         "2. clip against patchB": dict(arrowstyle="-", patchB=True, shrinkB=0),
+#         "3. shrink by shrinkB": dict(arrowstyle="-", patchB=True, shrinkB=5),
+#         "4. mutate with arrowstyle": dict(arrowstyle="fancy", patchB=True, shrinkB=5),
+#     }
+#
+#     fig, axs = plt.subplots(2, 2, figsize=(6, 6), layout='compressed')
+#     for ax, (name, props) in zip(axs.flat, arrowprops.items()):
+#         ax.plot([x1, x2], [y1, y2], ".")
+#
+#         el = mpatches.Ellipse((x1, y1), 0.3, 0.4, angle=30, alpha=0.2)
+#         ax.add_artist(el)
+#
+#         props["patchB"] = el if props["patchB"] else None
+#
+#         ax.annotate(
+#             "",
+#             xy=(x1, y1), xycoords='data',
+#             xytext=(x2, y2), textcoords='data',
+#             arrowprops={"color": "0.5", "connectionstyle": "arc3,rad=0.3", **props})
+#         ax.text(.05, .95, name, transform=ax.transAxes, ha="left", va="top")
+#
+#         ax.set(xlim=(0, 1), ylim=(0, 1), xticks=[], yticks=[], aspect=1)
+#
+#     fig.get_layout_engine().set(wspace=0, hspace=0, w_pad=0, h_pad=0)
+#
+# The creation of the connecting path between two points is controlled by
+# ``connectionstyle`` key and the following styles are available:
+#
+# ==========   =============================================
+# Name         Attrs
+# ==========   =============================================
+# ``angle``    angleA=90,angleB=0,rad=0.0
+# ``angle3``   angleA=90,angleB=0
+# ``arc``      angleA=0,angleB=0,armA=None,armB=None,rad=0.0
+# ``arc3``     rad=0.0
+# ``bar``      armA=0.0,armB=0.0,fraction=0.3,angle=None
+# ==========   =============================================
+#
+# Note that "3" in ``angle3`` and ``arc3`` is meant to indicate that the
+# resulting path is a quadratic spline segment (three control
+# points). As will be discussed below, some arrow style options can only
+# be used when the connecting path is a quadratic spline.
+#
+# The behavior of each connection style is (limitedly) demonstrated in the
+# example below. (Warning: The behavior of the ``bar`` style is currently not
+# well-defined and may be changed in the future).
+#
+# .. plot::
+#     :caption: Connection styles for annotations
+#
+#     def demo_con_style(ax, connectionstyle):
+#         x1, y1 = 0.3, 0.2
+#         x2, y2 = 0.8, 0.6
+#
+#         ax.plot([x1, x2], [y1, y2], ".")
+#         ax.annotate("",
+#                     xy=(x1, y1), xycoords='data',
+#                     xytext=(x2, y2), textcoords='data',
+#                     arrowprops=dict(arrowstyle="->", color="0.5",
+#                                     shrinkA=5, shrinkB=5,
+#                                     patchA=None, patchB=None,
+#                                     connectionstyle=connectionstyle,
+#                                     ),
+#                     )
+#
+#         ax.text(.05, .95, connectionstyle.replace(",", ",\n"),
+#                 transform=ax.transAxes, ha="left", va="top")
+#
+#         ax.set(xlim=(0, 1), ylim=(0, 1.25), xticks=[], yticks=[], aspect=1.25)
+#
+#     fig, axs = plt.subplots(3, 5, figsize=(7, 6.3), layout="compressed")
+#     demo_con_style(axs[0, 0], "angle3,angleA=90,angleB=0")
+#     demo_con_style(axs[1, 0], "angle3,angleA=0,angleB=90")
+#     demo_con_style(axs[0, 1], "arc3,rad=0.")
+#     demo_con_style(axs[1, 1], "arc3,rad=0.3")
+#     demo_con_style(axs[2, 1], "arc3,rad=-0.3")
+#     demo_con_style(axs[0, 2], "angle,angleA=-90,angleB=180,rad=0")
+#     demo_con_style(axs[1, 2], "angle,angleA=-90,angleB=180,rad=5")
+#     demo_con_style(axs[2, 2], "angle,angleA=-90,angleB=10,rad=5")
+#     demo_con_style(axs[0, 3], "arc,angleA=-90,angleB=0,armA=30,armB=30,rad=0")
+#     demo_con_style(axs[1, 3], "arc,angleA=-90,angleB=0,armA=30,armB=30,rad=5")
+#     demo_con_style(axs[2, 3], "arc,angleA=-90,angleB=0,armA=0,armB=40,rad=0")
+#     demo_con_style(axs[0, 4], "bar,fraction=0.3")
+#     demo_con_style(axs[1, 4], "bar,fraction=-0.3")
+#     demo_con_style(axs[2, 4], "bar,angle=180,fraction=-0.2")
+#
+#     axs[2, 0].remove()
+#     fig.get_layout_engine().set(wspace=0, hspace=0, w_pad=0, h_pad=0)
+#
+# The connecting path (after clipping and shrinking) is then mutated to
+# an arrow patch, according to the given ``arrowstyle``:
+#
+# ==========   =============================================
+# Name         Attrs
+# ==========   =============================================
+# ``-``        None
+# ``->``       head_length=0.4,head_width=0.2
+# ``-[``       widthB=1.0,lengthB=0.2,angleB=None
+# ``|-|``      widthA=1.0,widthB=1.0
+# ``-|>``      head_length=0.4,head_width=0.2
+# ``<-``       head_length=0.4,head_width=0.2
+# ``<->``      head_length=0.4,head_width=0.2
+# ``<|-``      head_length=0.4,head_width=0.2
+# ``<|-|>``    head_length=0.4,head_width=0.2
+# ``fancy``    head_length=0.4,head_width=0.4,tail_width=0.4
+# ``simple``   head_length=0.5,head_width=0.5,tail_width=0.2
+# ``wedge``    tail_width=0.3,shrink_factor=0.5
+# ==========   =============================================
+#
+# .. figure:: /gallery/text_labels_and_annotations/images/sphx_glr_fancyarrow_demo_001.png
+#    :target: /gallery/text_labels_and_annotations/fancyarrow_demo.html
+#    :align: center
+#
+# Some arrowstyles only work with connection styles that generate a
+# quadratic-spline segment. They are ``fancy``, ``simple``, and ``wedge``.
+# For these arrow styles, you must use the "angle3" or "arc3" connection
+# style.
+#
+# If the annotation string is given, the patch is set to the bbox patch
+# of the text by default.
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+ax.annotate("Test",
+            xy=(0.2, 0.2), xycoords='data',
+            xytext=(0.8, 0.8), textcoords='data',
+            size=20, va="center", ha="center",
+            arrowprops=dict(arrowstyle="simple",
+                            connectionstyle="arc3,rad=-0.2"))
+
+# %%
+# As with `~.Axes.text`, a box around the text can be drawn using the *bbox*
+# argument.
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+ann = ax.annotate("Test",
+                  xy=(0.2, 0.2), xycoords='data',
+                  xytext=(0.8, 0.8), textcoords='data',
+                  size=20, va="center", ha="center",
+                  bbox=dict(boxstyle="round4", fc="w"),
+                  arrowprops=dict(arrowstyle="-|>",
+                                  connectionstyle="arc3,rad=-0.2",
+                                  fc="w"))
+
+# %%
+# By default, the starting point is set to the center of the text
+# extent.  This can be adjusted with ``relpos`` key value. The values
+# are normalized to the extent of the text. For example, (0, 0) means
+# lower-left corner and (1, 1) means top-right.
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+ann = ax.annotate("Test",
+                  xy=(0.2, 0.2), xycoords='data',
+                  xytext=(0.8, 0.8), textcoords='data',
+                  size=20, va="center", ha="center",
+                  bbox=dict(boxstyle="round4", fc="w"),
+                  arrowprops=dict(arrowstyle="-|>",
+                                  connectionstyle="arc3,rad=0.2",
+                                  relpos=(0., 0.),
+                                  fc="w"))
+
+ann = ax.annotate("Test",
+                  xy=(0.2, 0.2), xycoords='data',
+                  xytext=(0.8, 0.8), textcoords='data',
+                  size=20, va="center", ha="center",
+                  bbox=dict(boxstyle="round4", fc="w"),
+                  arrowprops=dict(arrowstyle="-|>",
+                                  connectionstyle="arc3,rad=-0.2",
+                                  relpos=(1., 0.),
+                                  fc="w"))
+
+# %%
+# Placing Artist at anchored Axes locations
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# There are classes of artists that can be placed at an anchored
+# location in the Axes.  A common example is the legend.  This type
+# of artist can be created by using the `.OffsetBox` class. A few
+# predefined classes are available in :mod:`matplotlib.offsetbox` and in
+# :mod:`mpl_toolkits.axes_grid1.anchored_artists`.
+
+from matplotlib.offsetbox import AnchoredText
+
+fig, ax = plt.subplots(figsize=(3, 3))
+at = AnchoredText("Figure 1a",
+                  prop=dict(size=15), frameon=True, loc='upper left')
+at.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
+ax.add_artist(at)
+
+# %%
+# The *loc* keyword has same meaning as in the legend command.
+#
+# A simple application is when the size of the artist (or collection of
+# artists) is known in pixel size during the time of creation. For
+# example, If you want to draw a circle with fixed size of 20 pixel x 20
+# pixel (radius = 10 pixel), you can utilize
+# `~mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea`. The instance
+# is created with a size of the drawing area (in pixels), and arbitrary artists
+# can be added to the drawing area. Note that the extents of the artists that are
+# added to the drawing area are not related to the placement of the drawing
+# area itself. Only the initial size matters.
+#
+# The artists that are added to the drawing area should not have a
+# transform set (it will be overridden) and the dimensions of those
+# artists are interpreted as a pixel coordinate, i.e., the radius of the
+# circles in above example are 10 pixels and 5 pixels, respectively.
+
+from matplotlib.patches import Circle
+from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDrawingArea
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ada = AnchoredDrawingArea(40, 20, 0, 0,
+                          loc='upper right', pad=0., frameon=False)
+p1 = Circle((10, 10), 10)
+ada.drawing_area.add_artist(p1)
+p2 = Circle((30, 10), 5, fc="r")
+ada.drawing_area.add_artist(p2)
+ax.add_artist(ada)
+
+# %%
+# Sometimes, you want your artists to scale with the data coordinate (or
+# coordinates other than canvas pixels). You can use
+# `~mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox` class.
+# This is similar to
+# `~mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea` except that
+# the extent of the artist is determined during the drawing time respecting the
+# specified transform.
+#
+# The ellipse in the example below will have width and height
+# corresponding to 0.1 and 0.4 in data coordinates and will be
+# automatically scaled when the view limits of the Axes change.
+
+from matplotlib.patches import Ellipse
+from mpl_toolkits.axes_grid1.anchored_artists import AnchoredAuxTransformBox
+
+fig, ax = plt.subplots(figsize=(3, 3))
+box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
+el = Ellipse((0, 0), width=0.1, height=0.4, angle=30)  # in data coordinates!
+box.drawing_area.add_artist(el)
+ax.add_artist(box)
+
+# %%
+# Another method of anchoring an artist relative to a parent Axes or anchor
+# point is via the *bbox_to_anchor* argument of `.AnchoredOffsetbox`. This
+# artist can then be automatically positioned relative to another artist using
+# `.HPacker` and `.VPacker`:
+
+from matplotlib.offsetbox import (AnchoredOffsetbox, DrawingArea, HPacker,
+                                  TextArea)
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+box1 = TextArea(" Test: ", textprops=dict(color="k"))
+box2 = DrawingArea(60, 20, 0, 0)
+
+el1 = Ellipse((10, 10), width=16, height=5, angle=30, fc="r")
+el2 = Ellipse((30, 10), width=16, height=5, angle=170, fc="g")
+el3 = Ellipse((50, 10), width=16, height=5, angle=230, fc="b")
+box2.add_artist(el1)
+box2.add_artist(el2)
+box2.add_artist(el3)
+
+box = HPacker(children=[box1, box2],
+              align="center",
+              pad=0, sep=5)
+
+anchored_box = AnchoredOffsetbox(loc='lower left',
+                                 child=box, pad=0.,
+                                 frameon=True,
+                                 bbox_to_anchor=(0., 1.02),
+                                 bbox_transform=ax.transAxes,
+                                 borderpad=0.,)
+
+ax.add_artist(anchored_box)
+fig.subplots_adjust(top=0.8)
+
+# %%
+# Note that, unlike in `.Legend`, the ``bbox_transform`` is set to
+# `.IdentityTransform` by default
+#
+# .. _annotating_coordinate_systems:
+#
+# Coordinate systems for annotations
+# ----------------------------------
+#
+# Matplotlib Annotations support several types of coordinate systems. The
+# examples in :ref:`annotations-tutorial` used the ``data`` coordinate system;
+# Some others more advanced options are:
+#
+# `.Transform` instance
+# ^^^^^^^^^^^^^^^^^^^^^
+#
+# Transforms map coordinates into different coordinate systems, usually the
+# display coordinate system. See :ref:`transforms_tutorial` for a detailed
+# explanation. Here Transform objects are used to identify the coordinate
+# system of the corresponding points. For example, the ``Axes.transAxes``
+# transform positions the annotation relative to the Axes coordinates; therefore
+# using it is identical to setting the coordinate system to "axes fraction":
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))
+ax1.annotate("Test", xy=(0.2, 0.2), xycoords=ax1.transAxes)
+ax2.annotate("Test", xy=(0.2, 0.2), xycoords="axes fraction")
+
+# %%
+# Another commonly used `.Transform` instance is ``Axes.transData``. This
+# transform  is the coordinate system of the data plotted in the Axes. In this
+# example, it is used to draw an arrow between related data points in two
+# Axes. We have passed an empty text because in this case, the annotation
+# connects data points.
+
+x = np.linspace(-1, 1)
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))
+ax1.plot(x, -x**3)
+ax2.plot(x, -3*x**2)
+ax2.annotate("",
+             xy=(0, 0), xycoords=ax1.transData,
+             xytext=(0, 0), textcoords=ax2.transData,
+             arrowprops=dict(arrowstyle="<->"))
+
+# %%
+# .. _artist_annotation_coord:
+#
+# `.Artist` instance
+# ^^^^^^^^^^^^^^^^^^
+#
+# The *xy* value (or *xytext*) is interpreted as a fractional coordinate of the
+# bounding box (bbox) of the artist:
+
+fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(3, 3))
+an1 = ax.annotate("Test 1",
+                  xy=(0.5, 0.5), xycoords="data",
+                  va="center", ha="center",
+                  bbox=dict(boxstyle="round", fc="w"))
+
+an2 = ax.annotate("Test 2",
+                  xy=(1, 0.5), xycoords=an1,  # (1, 0.5) of an1's bbox
+                  xytext=(30, 0), textcoords="offset points",
+                  va="center", ha="left",
+                  bbox=dict(boxstyle="round", fc="w"),
+                  arrowprops=dict(arrowstyle="->"))
+
+# %%
+# Note that you must ensure that the extent of the coordinate artist (*an1* in
+# this example) is determined before *an2* gets drawn. Usually, this means
+# that *an2* needs to be drawn after *an1*. The base class for all bounding
+# boxes is `.BboxBase`
+#
+# Callable that returns `.Transform` of `.BboxBase`
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# A callable object that takes the renderer instance as single argument, and
+# returns either a `.Transform` or a `.BboxBase`. For example, the return
+# value of `.Artist.get_window_extent` is a bbox, so this method is identical
+# to (2) passing in the artist:
+
+fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(3, 3))
+an1 = ax.annotate("Test 1",
+                  xy=(0.5, 0.5), xycoords="data",
+                  va="center", ha="center",
+                  bbox=dict(boxstyle="round", fc="w"))
+
+an2 = ax.annotate("Test 2",
+                  xy=(1, 0.5), xycoords=an1.get_window_extent,
+                  xytext=(30, 0), textcoords="offset points",
+                  va="center", ha="left",
+                  bbox=dict(boxstyle="round", fc="w"),
+                  arrowprops=dict(arrowstyle="->"))
+
+# %%
+# `.Artist.get_window_extent` is the bounding box of the Axes object and is
+# therefore identical to setting the coordinate system to axes fraction:
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))
+
+an1 = ax1.annotate("Test1", xy=(0.5, 0.5), xycoords="axes fraction")
+an2 = ax2.annotate("Test 2", xy=(0.5, 0.5), xycoords=ax2.get_window_extent)
+
+# %%
+# Blended coordinate specification
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# A blended pair of coordinate specifications -- the first for the
+# x-coordinate, and the second is for the y-coordinate. For example, x=0.5 is
+# in data coordinates, and y=1 is in normalized axes coordinates:
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ax.annotate("Test", xy=(0.5, 1), xycoords=("data", "axes fraction"))
+ax.axvline(x=.5, color='lightgray')
+ax.set(xlim=(0, 2), ylim=(1, 2))
+
+# %%
+# Any of the supported coordinate systems can be used in a blended
+# specification. For example, the text "Anchored to 1 & 2" is positioned
+# relative to the two `.Text` Artists:
+
+fig, ax = plt.subplots(figsize=(3, 3))
+
+t1 = ax.text(0.05, .05, "Text 1", va='bottom', ha='left')
+t2 = ax.text(0.90, .90, "Text 2", ha='right')
+t3 = ax.annotate("Anchored to 1 & 2", xy=(0, 0), xycoords=(t1, t2),
+                 va='bottom', color='tab:orange',)
+
+# %%
+# `.text.OffsetFrom`
+# ^^^^^^^^^^^^^^^^^^
+#
+# Sometimes, you want your annotation with some "offset points", not from the
+# annotated point but from some other point or artist. `.text.OffsetFrom` is
+# a helper for such cases.
+
+from matplotlib.text import OffsetFrom
+
+fig, ax = plt.subplots(figsize=(3, 3))
+an1 = ax.annotate("Test 1", xy=(0.5, 0.5), xycoords="data",
+                  va="center", ha="center",
+                  bbox=dict(boxstyle="round", fc="w"))
+
+offset_from = OffsetFrom(an1, (0.5, 0))
+an2 = ax.annotate("Test 2", xy=(0.1, 0.1), xycoords="data",
+                  xytext=(0, -10), textcoords=offset_from,
+                  # xytext is offset points from "xy=(0.5, 0), xycoords=an1"
+                  va="top", ha="center",
+                  bbox=dict(boxstyle="round", fc="w"),
+                  arrowprops=dict(arrowstyle="->"))
+
+# %%
+# Non-text annotations
+# --------------------
+#
+# .. _using_connectionpatch:
+#
+# Using ConnectionPatch
+# ^^^^^^^^^^^^^^^^^^^^^
+#
+# `.ConnectionPatch` is like an annotation without text. While `~.Axes.annotate`
+# is sufficient in most situations, `.ConnectionPatch` is useful when you want
+# to connect points in different Axes. For example, here we connect the point
+# *xy* in the data coordinates of ``ax1`` to point *xy* in the data coordinates
+# of ``ax2``:
+
+from matplotlib.patches import ConnectionPatch
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(6, 3))
+xy = (0.3, 0.2)
+con = ConnectionPatch(xyA=xy, coordsA=ax1.transData,
+                      xyB=xy, coordsB=ax2.transData)
+
+fig.add_artist(con)
+
+# %%
+# Here, we added the `.ConnectionPatch` to the *figure*
+# (with `~.Figure.add_artist`) rather than to either Axes. This ensures that
+# the ConnectionPatch artist is drawn on top of both Axes, and is also necessary
+# when using :ref:`constrained_layout <constrainedlayout_guide>`
+# for positioning the Axes.
+#
+# Zoom effect between Axes
+# ^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# `mpl_toolkits.axes_grid1.inset_locator` defines some patch classes useful for
+# interconnecting two Axes.
+#
+# .. figure:: /gallery/subplots_axes_and_figures/images/sphx_glr_axes_zoom_effect_001.png
+#    :target: /gallery/subplots_axes_and_figures/axes_zoom_effect.html
+#    :align: center
+#
+# The code for this figure is at
+# :doc:`/gallery/subplots_axes_and_figures/axes_zoom_effect` and
+# familiarity with :ref:`transforms_tutorial`
+# is recommended.
diff --git a/galleries/users_explain/text/fonts.py b/galleries/users_explain/text/fonts.py
new file mode 100644
index 000000000000..7efb9a00aa09
--- /dev/null
+++ b/galleries/users_explain/text/fonts.py
@@ -0,0 +1,201 @@
+r"""
+.. redirect-from:: /users/fonts
+.. redirect-from:: /users/explain/fonts
+
+.. _fonts:
+
+Fonts in Matplotlib
+===================
+
+Matplotlib needs fonts to work with its text engine, some of which are shipped
+alongside the installation.  The default font is `DejaVu Sans
+<https://dejavu-fonts.github.io>`_ which covers most European writing systems.
+However, users can configure the default fonts, and provide their own custom
+fonts.  See :ref:`Customizing text properties <text_props>` for
+details and :ref:`font-nonlatin` in particular for glyphs not supported by
+DejaVu Sans.
+
+Matplotlib also provides an option to offload text rendering to a TeX engine
+(``usetex=True``), see :ref:`Text rendering with LaTeX
+<usetex>`.
+
+Fonts in PDF and PostScript
+---------------------------
+
+Fonts have a long (and sometimes incompatible) history in computing, leading to
+different platforms supporting different types of fonts.  In practice,
+Matplotlib supports three font specifications (in addition to pdf 'core fonts',
+which are explained later in the guide):
+
+.. list-table:: Type of Fonts
+   :header-rows: 1
+
+   * - Type 1 (PDF)
+     - Type 3 (PDF/PS)
+     - TrueType (PDF)
+   * - One of the oldest types, introduced by Adobe
+     - Similar to Type 1 in terms of introduction
+     - Newer than previous types, used commonly today, introduced by Apple
+   * - Restricted subset of PostScript, charstrings are in bytecode
+     - Full PostScript language, allows embedding arbitrary code
+       (in theory, even render fractals when rasterizing!)
+     - Include a virtual machine that can execute code!
+   * - These fonts support font hinting
+     - Do not support font hinting
+     - Hinting supported (virtual machine processes the "hints")
+   * - Non-subsetted through Matplotlib
+     - Subsetted via external module ttconv
+     - Subsetted via external module
+       `fontTools <https://github.com/fonttools/fonttools>`__
+
+.. note::
+
+   Adobe disabled__ support for authoring with Type 1 fonts in January 2023.
+
+   __ https://helpx.adobe.com/fonts/kb/postscript-type-1-fonts-end-of-support.html
+
+Other font specifications which Matplotlib supports:
+
+- Type 42 fonts (PS):
+
+  - PostScript wrapper around TrueType fonts
+  - 42 is the `Answer to Life, the Universe, and Everything!
+    <https://en.wikipedia.org/wiki/Answer_to_Life,_the_Universe,_and_Everything>`_
+  - Matplotlib uses the external library
+    `fontTools <https://github.com/fonttools/fonttools>`__ to subset these types of
+    fonts
+
+- OpenType fonts:
+
+  - OpenType is a new standard for digital type fonts, developed jointly by
+    Adobe and Microsoft
+  - Generally contain a much larger character set!
+  - Limited support with Matplotlib
+
+Font subsetting
+^^^^^^^^^^^^^^^
+
+The PDF and PostScript formats support embedding fonts in files, allowing the
+display program to correctly render the text, independent of what fonts are
+installed on the viewer's computer and without the need to pre-rasterize the text.
+This ensures that if the output is zoomed or resized the text does not become
+pixelated.  However, embedding full fonts in the file can lead to large output
+files, particularly with fonts with many glyphs such as those that support CJK
+(Chinese/Japanese/Korean).
+
+The solution to this problem is to subset the fonts used in the document and
+only embed the glyphs actually used.  This gets both vector text and small
+files sizes.  Computing the subset of the font required and writing the new
+(reduced) font are both complex problem and thus Matplotlib relies on
+`fontTools <https://fonttools.readthedocs.io/en/latest/>`__ and a vendored fork
+of ttconv.
+
+Currently Type 3, Type 42, and TrueType fonts are subsetted.  Type 1 fonts are not.
+
+Core Fonts
+^^^^^^^^^^
+
+In addition to the ability to embed fonts, as part of the `PostScript
+<https://en.wikipedia.org/wiki/PostScript_fonts#Core_Font_Set>`_ and `PDF
+specification
+<https://docs.oracle.com/cd/E96927_01/TSG/FAQ/What%20are%20the%2014%20base%20fonts%20distributed%20with%20Acroba.html>`_
+there are 14 Core Fonts that compliant viewers must ensure are available.  If
+you restrict your document to only these fonts you do not have to embed any
+font information in the document but still get vector text.
+
+This is especially helpful to generate *really lightweight* documents::
+
+    # trigger core fonts for PDF backend
+    plt.rcParams["pdf.use14corefonts"] = True
+    # trigger core fonts for PS backend
+    plt.rcParams["ps.useafm"] = True
+
+    chars = "AFM ftw!"
+    fig, ax = plt.subplots()
+    ax.text(0.5, 0.5, chars)
+
+    fig.savefig("AFM_PDF.pdf", format="pdf")
+    fig.savefig("AFM_PS.ps", format="ps")
+
+Fonts in SVG
+------------
+
+Text can output to SVG in two ways controlled by :rc:`svg.fonttype`:
+
+- as a path (``'path'``) in the SVG
+- as string in the SVG with font styling on the element (``'none'``)
+
+When saving via ``'path'`` Matplotlib will compute the path of the glyphs used
+as vector paths and write those to the output.  The advantage of doing so is
+that the SVG will look the same on all computers independent of what fonts are
+installed.  However the text will not be editable after the fact.
+In contrast, saving with ``'none'`` will result in smaller files and the
+text will appear directly in the markup.  However, the appearance may vary
+based on the SVG viewer and what fonts are available.
+
+Fonts in Agg
+------------
+
+To output text to raster formats via Agg, Matplotlib relies on `FreeType
+<https://www.freetype.org/>`_.  Because the exact rendering of the glyphs
+changes between FreeType versions we pin to a specific version for our image
+comparison tests.
+
+How Matplotlib selects fonts
+----------------------------
+
+Internally, using a font in Matplotlib is a three step process:
+
+1. a `.FontProperties` object is created (explicitly or implicitly)
+2. based on the `.FontProperties` object the methods on `.FontManager` are used
+   to select the closest "best" font Matplotlib is aware of (except for
+   ``'none'`` mode of SVG).
+3. the Python proxy for the font object is used by the backend code to render
+   the text -- the exact details depend on the backend via `.font_manager.get_font`.
+
+The algorithm to select the "best" font is a modified version of the algorithm
+specified by the `CSS1 Specifications
+<http://www.w3.org/TR/1998/REC-CSS2-19980512/>`_ which is used by web browsers.
+This algorithm takes into account the font family name (e.g. "Arial", "Noto
+Sans CJK", "Hack", ...), the size, style, and weight.  In addition to family
+names that map directly to fonts there are five "generic font family names"
+(serif, monospace, fantasy, cursive, and sans-serif) that will internally be
+mapped to any one of a set of fonts.
+
+Currently the public API for doing step 2 is `.FontManager.findfont` (and that
+method on the global `.FontManager` instance is aliased at the module level as
+`.font_manager.findfont`), which will only find a single font and return the absolute
+path to the font on the filesystem.
+
+Font fallback
+-------------
+
+There is no font that covers the entire Unicode space thus it is possible for the
+users to require a mix of glyphs that cannot be satisfied from a single font.
+While it has been possible to use multiple fonts within a Figure, on distinct
+`.Text` instances, it was not previous possible to use multiple fonts in the
+same `.Text` instance (as a web browser does).  As of Matplotlib 3.6 the Agg,
+SVG, PDF, and PS backends will "fallback" through multiple fonts in a single
+`.Text` instance:
+
+.. plot::
+   :include-source:
+   :caption: The string "There are 几个汉字 in between!" rendered with 2 fonts.
+
+   fig, ax = plt.subplots()
+   ax.text(
+       .5, .5, "There are 几个汉字 in between!",
+       family=['DejaVu Sans', 'Noto Sans CJK JP', 'Noto Sans TC'],
+       ha='center'
+   )
+
+Internally this is implemented by setting The "font family" on
+`.FontProperties` objects to a list of font families.  A (currently)
+private API extracts a list of paths to all of the fonts found and then
+constructs a single `.ft2font.FT2Font` object that is aware of all of the fonts.
+Each glyph of the string is rendered using the first font in the list that
+contains that glyph.
+
+A majority of this work was done by Aitik Gupta supported by Google Summer of
+Code 2021.
+"""
diff --git a/galleries/users_explain/text/mathtext.py b/galleries/users_explain/text/mathtext.py
new file mode 100644
index 000000000000..7ff317804f98
--- /dev/null
+++ b/galleries/users_explain/text/mathtext.py
@@ -0,0 +1,373 @@
+r"""
+
+.. redirect-from:: /tutorials/text/mathtext
+
+.. _mathtext:
+
+Writing mathematical expressions
+================================
+
+Matplotlib implements a lightweight TeX expression parser and layout engine and
+*Mathtext* is the subset of Tex markup that this engine supports. Note that
+Matplotlib can also render all text directly using TeX if :rc:`text.usetex` is
+*True*; see :ref:`usetex` for more details.   Mathtext support is available
+if :rc:`text.usetex` is *False*.
+
+Any string can be processed as Mathtext by placing the string inside a pair of
+dollar signs ``'$'``. Mathtext often contains many backslashes ``'\'``; so that
+the backslashes do not need to be escaped, Mathtext is often written using raw
+strings. For example:
+"""
+
+import matplotlib.pyplot as plt
+
+fig = plt.figure(figsize=(3, 3), linewidth=1, edgecolor='black')
+fig.text(.2, .7, "plain text: alpha > beta")
+fig.text(.2, .5, "Mathtext: $\\alpha > \\beta$")
+fig.text(.2, .3, r"raw string Mathtext: $\alpha > \beta$")
+
+# %%
+# .. seealso::
+#
+#   :doc:`Mathtext example </gallery/text_labels_and_annotations/mathtext_demo>`
+#
+# TeX does *not* need to be installed to use Mathtext because Matplotlib ships
+# with the Mathtext parser and engine. The Mathtext layout engine is a fairly
+# direct adaptation of the layout algorithms in Donald Knuth's TeX. To render
+# mathematical text using a different TeX engine, see :ref:`usetex`.
+#
+# .. note::
+#   To generate html output in documentation that will exactly match the output
+#   generated by ``mathtext``, use the `matplotlib.sphinxext.mathmpl` Sphinx
+#   extension.
+#
+#
+# Special characters
+# ------------------
+#
+# Mathtext must be placed between a pair of (US) dollar signs ``'$'``. A literal
+# dollar symbol ``'$'`` in a string containing Mathtext must be escaped using a
+# backslash: ``'\$'``. A string may contain multiple pairs of dollar signs,
+# resulting in multiple Mathtext expressions. Strings with an odd number of
+# dollar signs are rendered solely as plain text.
+
+fig = plt.figure(figsize=(3, 3), linewidth=1, edgecolor='black')
+fig.suptitle("Number of unescaped $")
+fig.text(.1, .7, r"odd: $ \alpha $ = $1")
+fig.text(.1, .5, r"even: $ \beta $= $ 2 $")
+fig.text(.1, .3, r'odd: $ \gamma $= \$3 $')
+fig.text(.1, .1, r'even: $ \delta $ = $ \$4 $')
+
+# %%
+# While Mathtext aims for compatibility with regular TeX, it diverges on when
+# special characters need to be escaped. In TeX the dollar sign must be escaped
+# ``'\$'`` in non-math text, while in Matplotlib the dollar sign must be
+# escaped when writing Mathtext.
+#
+# These other special characters are also escaped in non-math TeX, while in
+# Matplotlib their behavior is dependent on how :rc:`text.usetex` is set::
+#
+#    # $ % & ~ _ ^ \ { } \( \) \[ \]
+#
+# See the :ref:`usetex tutorial <usetex>` for more information.
+#
+#
+# Subscripts and superscripts
+# ---------------------------
+# To make subscripts and superscripts, use the ``'_'`` and ``'^'`` symbols::
+#
+#     r'$\alpha_i > \beta_i$'
+#
+# .. math::
+#
+#     \alpha_i > \beta_i
+#
+# To display multi-letter subscripts or superscripts correctly,
+# you should put them in curly braces ``{...}``::
+#
+#     r'$\alpha^{ic} > \beta_{ic}$'
+#
+# .. math::
+#
+#     \alpha^{ic} > \beta_{ic}
+#
+# Some symbols automatically put their sub/superscripts under and over the
+# operator.  For example, to write the sum of :mathmpl:`x_i` from :mathmpl:`0` to
+# :mathmpl:`\infty`, you could do::
+#
+#     r'$\sum_{i=0}^\infty x_i$'
+#
+# .. math::
+#
+#     \sum_{i=0}^\infty x_i
+#
+# Fractions, binomials, and stacked numbers
+# -----------------------------------------
+# Fractions, binomials, and stacked numbers can be created with the
+# ``\frac{}{}``, ``\binom{}{}`` and ``\genfrac{}{}{}{}{}{}`` commands,
+# respectively::
+#
+#     r'$\frac{3}{4} \binom{3}{4} \genfrac{}{}{0}{}{3}{4}$'
+#
+# produces
+#
+# .. math::
+#
+#     \frac{3}{4} \binom{3}{4} \genfrac{}{}{0pt}{}{3}{4}
+#
+# Fractions can be arbitrarily nested::
+#
+#     r'$\frac{5 - \frac{1}{x}}{4}$'
+#
+# produces
+#
+# .. math::
+#
+#     \frac{5 - \frac{1}{x}}{4}
+#
+# Note that special care needs to be taken to place parentheses and brackets
+# around fractions.  Doing things the obvious way produces brackets that are too
+# small::
+#
+#     r'$(\frac{5 - \frac{1}{x}}{4})$'
+#
+# .. math::
+#
+#     (\frac{5 - \frac{1}{x}}{4})
+#
+# The solution is to precede the bracket with ``\left`` and ``\right`` to inform
+# the parser that those brackets encompass the entire object.::
+#
+#     r'$\left(\frac{5 - \frac{1}{x}}{4}\right)$'
+#
+# .. math::
+#
+#     \left(\frac{5 - \frac{1}{x}}{4}\right)
+#
+# Radicals
+# --------
+# Radicals can be produced with the ``\sqrt[]{}`` command.  For example::
+#
+#     r'$\sqrt{2}$'
+#
+# .. math::
+#
+#     \sqrt{2}
+#
+# Any base can (optionally) be provided inside square brackets.  Note that the
+# base must be a simple expression, and cannot contain layout commands such as
+# fractions or sub/superscripts::
+#
+#     r'$\sqrt[3]{x}$'
+#
+# .. math::
+#
+#     \sqrt[3]{x}
+#
+# .. _mathtext-fonts:
+#
+# Fonts
+# -----
+#
+# The default font is *italics* for mathematical symbols.
+#
+# This default can be changed using :rc:`mathtext.default`. For setting rcParams,
+# see :ref:`customizing`. For example, setting the default to ``regular`` allows
+# you to use the same font for math text and regular non-math text.
+#
+# To change fonts, e.g., to write "sin" in a Roman font, enclose the text in a
+# font command::
+#
+#     r'$s(t) = \mathcal{A}\mathrm{sin}(2 \omega t)$'
+#
+# .. math::
+#
+#     s(t) = \mathcal{A}\mathrm{sin}(2 \omega t)
+#
+# More conveniently, many commonly used function names that are typeset in
+# a Roman font have shortcuts.  So the expression above could be written as
+# follows::
+#
+#     r'$s(t) = \mathcal{A}\sin(2 \omega t)$'
+#
+# .. math::
+#
+#     s(t) = \mathcal{A}\sin(2 \omega t)
+#
+# Here "s" and "t" are variable in italics font (default), "sin" is in Roman
+# font, and the amplitude "A" is in calligraphy font.  Note in the example above
+# the calligraphy ``A`` is squished into the ``sin``.  You can use a spacing
+# command to add a little whitespace between them::
+#
+#     r's(t) = \mathcal{A}\/\sin(2 \omega t)'
+#
+# .. Here we cheat a bit: for HTML math rendering, Sphinx relies on MathJax which
+#    doesn't actually support the italic correction (\/); instead, use a thin
+#    space (\,) which is supported.
+#
+# .. math::
+#
+#     s(t) = \mathcal{A}\,\sin(2 \omega t)
+#
+# Mathtext can use DejaVu Sans (default), DejaVu Serif, Computer Modern fonts
+# from (La)TeX, `STIX <http://www.stixfonts.org/>`_ fonts which are designed
+# to blend well with Times, or a Unicode font that you provide. The Mathtext
+# font can be selected via :rc:`mathtext.fontset`.
+#
+# The choices available with all fonts are:
+#
+# ========================= ================================
+# Command                   Result
+# ========================= ================================
+# ``\mathrm{Roman}``        :mathmpl:`\mathrm{Roman}`
+# ``\mathit{Italic}``       :mathmpl:`\mathit{Italic}`
+# ``\mathtt{Typewriter}``   :mathmpl:`\mathtt{Typewriter}`
+# ``\mathcal{CALLIGRAPHY}`` :mathmpl:`\mathcal{CALLIGRAPHY}`
+# ========================= ================================
+#
+# .. rstcheck: ignore-directives=role
+# .. role:: math-stix(mathmpl)
+#    :fontset: stix
+#
+# When using the `STIX <http://www.stixfonts.org/>`_ fonts, you also have the
+# choice of:
+#
+# ================================ =========================================
+# Command                          Result
+# ================================ =========================================
+# ``\mathbb{blackboard}``          :math-stix:`\mathbb{blackboard}`
+# ``\mathrm{\mathbb{blackboard}}`` :math-stix:`\mathrm{\mathbb{blackboard}}`
+# ``\mathfrak{Fraktur}``           :math-stix:`\mathfrak{Fraktur}`
+# ``\mathsf{sansserif}``           :math-stix:`\mathsf{sansserif}`
+# ``\mathrm{\mathsf{sansserif}}``  :math-stix:`\mathrm{\mathsf{sansserif}}`
+# ``\mathbfit{bolditalic}``        :math-stix:`\mathbfit{bolditalic}`
+# ================================ =========================================
+#
+# There are also five global "font sets" to choose from, which are
+# selected using the ``mathtext.fontset`` parameter in :ref:`matplotlibrc
+# <matplotlibrc-sample>`.
+#
+# ``dejavusans``: DejaVu Sans
+#     .. mathmpl::
+#        :fontset: dejavusans
+#
+#        \mathcal{R} \prod_{i=\alpha}^{\infty} a_i \sin\left(2\pi fx_i\right)
+#
+# ``dejavuserif``: DejaVu Serif
+#     .. mathmpl::
+#        :fontset: dejavuserif
+#
+#        \mathcal{R} \prod_{i=\alpha}^{\infty} a_i \sin\left(2\pi fx_i\right)
+#
+# ``cm``: Computer Modern (TeX)
+#     .. mathmpl::
+#        :fontset: cm
+#
+#        \mathcal{R} \prod_{i=\alpha}^{\infty} a_i \sin\left(2\pi fx_i\right)
+#
+# ``stix``: STIX (designed to blend well with Times)
+#     .. mathmpl::
+#        :fontset: stix
+#
+#        \mathcal{R} \prod_{i=\alpha}^{\infty} a_i \sin\left(2\pi fx_i\right)
+#
+# ``stixsans``: STIX sans-serif
+#     .. mathmpl::
+#        :fontset: stixsans
+#
+#        \mathcal{R} \prod_{i=\alpha}^{\infty} a_i \sin\left(2\pi fx_i\right)
+#
+# Additionally, you can use ``\mathdefault{...}`` or its alias
+# ``\mathregular{...}`` to use the font used for regular text outside of
+# Mathtext.  There are a number of limitations to this approach, most notably
+# that far fewer symbols will be available, but it can be useful to make math
+# expressions blend well with other text in the plot.
+#
+# For compatibility with popular packages, ``\text{...}`` is available and uses the
+# ``\mathrm{...}`` font, but otherwise retains spaces and renders - as a dash
+# (not minus).
+#
+# Custom fonts
+# ^^^^^^^^^^^^
+# Mathtext also provides a way to use custom fonts for math.  This method is
+# fairly tricky to use, and should be considered an experimental feature for
+# patient users only.  By setting :rc:`mathtext.fontset` to ``custom``,
+# you can then set the following parameters, which control which font file to use
+# for a particular set of math characters.
+#
+# ============================== =================================
+# Parameter                      Corresponds to
+# ============================== =================================
+# ``mathtext.it``                ``\mathit{}`` or default italic
+# ``mathtext.rm``                ``\mathrm{}`` Roman (upright)
+# ``mathtext.tt``                ``\mathtt{}`` Typewriter (monospace)
+# ``mathtext.bf``                ``\mathbf{}`` bold
+# ``mathtext.bfit``              ``\mathbfit{}`` bold italic
+# ``mathtext.cal``               ``\mathcal{}`` calligraphic
+# ``mathtext.sf``                ``\mathsf{}`` sans-serif
+# ============================== =================================
+#
+# Each parameter should be set to a fontconfig font descriptor, as defined in
+# :ref:`fonts`. The fonts used should have a Unicode mapping in order to find
+# any non-Latin characters, such as Greek.  If you want to use a math symbol
+# that is not contained in your custom fonts, you can set
+# :rc:`mathtext.fallback` to either ``'cm'``, ``'stix'`` or ``'stixsans'``
+# which will cause the Mathtext system to use
+# characters from an alternative font whenever a particular
+# character cannot be found in the custom font.
+#
+# Note that the math glyphs specified in Unicode have evolved over time, and
+# many fonts may not have glyphs in the correct place for Mathtext.
+#
+# Accents
+# -------
+# An accent command may precede any symbol to add an accent above it.  There are
+# long and short forms for some of them.
+#
+# ============================== =================================
+# Command                        Result
+# ============================== =================================
+# ``\acute a`` or ``\'a``        :mathmpl:`\acute a`
+# ``\bar a``                     :mathmpl:`\bar a`
+# ``\breve a``                   :mathmpl:`\breve a`
+# ``\dot a`` or ``\.a``          :mathmpl:`\dot a`
+# ``\ddot a`` or ``\''a``        :mathmpl:`\ddot a`
+# ``\dddot a``                   :mathmpl:`\dddot a`
+# ``\ddddot a``                  :mathmpl:`\ddddot a`
+# ``\grave a`` or ``\`a``        :mathmpl:`\grave a`
+# ``\hat a`` or ``\^a``          :mathmpl:`\hat a`
+# ``\tilde a`` or ``\~a``        :mathmpl:`\tilde a`
+# ``\vec a``                     :mathmpl:`\vec a`
+# ``\overline{abc}``             :mathmpl:`\overline{abc}`
+# ============================== =================================
+#
+# In addition, there are two special accents that automatically adjust to the
+# width of the symbols below:
+#
+# ============================== =================================
+# Command                        Result
+# ============================== =================================
+# ``\widehat{xyz}``              :mathmpl:`\widehat{xyz}`
+# ``\widetilde{xyz}``            :mathmpl:`\widetilde{xyz}`
+# ============================== =================================
+#
+# Care should be taken when putting accents on lower-case i's and j's.  Note
+# that in the following ``\imath`` is used to avoid the extra dot over the i::
+#
+#     r"$\hat i\ \ \hat \imath$"
+#
+# .. math::
+#
+#     \hat i\ \ \hat \imath
+#
+# Symbols
+# -------
+# You can also use a large number of the TeX symbols, as in ``\infty``,
+# ``\leftarrow``, ``\sum``, ``\int``.
+#
+# .. math_symbol_table::
+#
+# If a particular symbol does not have a name (as is true of many of the more
+# obscure symbols in the STIX fonts), Unicode characters can also be used::
+#
+#    r'$\u23ce$'
diff --git a/galleries/users_explain/text/pgf.py b/galleries/users_explain/text/pgf.py
new file mode 100644
index 000000000000..c5fa16f35ce7
--- /dev/null
+++ b/galleries/users_explain/text/pgf.py
@@ -0,0 +1,265 @@
+r"""
+
+.. redirect-from:: /tutorials/text/pgf
+
+.. _pgf:
+
+************************************************************
+Text rendering with XeLaTeX/LuaLaTeX via the ``pgf`` backend
+************************************************************
+
+Using the ``pgf`` backend, Matplotlib can export figures as pgf drawing
+commands that can be processed with pdflatex, xelatex or lualatex. XeLaTeX and
+LuaLaTeX have full Unicode support and can use any font that is installed in
+the operating system, making use of advanced typographic features of OpenType,
+AAT and Graphite. Pgf pictures created by ``plt.savefig('figure.pgf')``
+can be embedded as raw commands in LaTeX documents. Figures can also be
+directly compiled and saved to PDF with ``plt.savefig('figure.pdf')`` by
+switching the backend ::
+
+    matplotlib.use('pgf')
+
+or by explicitly requesting the use of the ``pgf`` backend ::
+
+    plt.savefig('figure.pdf', backend='pgf')
+
+or by registering it for handling pdf output ::
+
+    from matplotlib.backends.backend_pgf import FigureCanvasPgf
+    matplotlib.backend_bases.register_backend('pdf', FigureCanvasPgf)
+
+The last method allows you to keep using regular interactive backends and to
+save xelatex, lualatex or pdflatex compiled PDF files from the graphical user
+interface.  Note that, in that case, the interactive display will still use the
+standard interactive backends (e.g., QtAgg), and in particular use latex to
+compile relevant text snippets.
+
+Matplotlib's pgf support requires a recent LaTeX_ installation that includes
+the TikZ/PGF packages (such as TeXLive_), preferably with XeLaTeX or LuaLaTeX
+installed. If either pdftocairo or ghostscript is present on your system,
+figures can optionally be saved to PNG images as well. The executables
+for all applications must be located on your :envvar:`PATH`.
+
+`.rcParams` that control the behavior of the pgf backend:
+
+=================  =====================================================
+Parameter          Documentation
+=================  =====================================================
+pgf.preamble       Lines to be included in the LaTeX preamble
+pgf.rcfonts        Setup fonts from rc params using the fontspec package
+pgf.texsystem      Either "xelatex" (default), "lualatex" or "pdflatex"
+=================  =====================================================
+
+.. note::
+
+   TeX defines a set of special characters, such as::
+
+     # $ % & ~ _ ^ \ { }
+
+   Generally, these characters must be escaped correctly. For convenience,
+   some characters (_, ^, %) are automatically escaped outside of math
+   environments. Other characters are not escaped as they are commonly needed
+   in actual TeX expressions. However, one can configure TeX to treat them as
+   "normal" characters (known as "catcode 12" to TeX) via a custom preamble,
+   such as::
+
+     plt.rcParams["pgf.preamble"] = (
+         r"\AtBeginDocument{\catcode`\&=12\catcode`\#=12}")
+
+.. _pgf-rcfonts:
+
+
+Multi-Page PDF Files
+====================
+
+The pgf backend also supports multipage pdf files using
+`~.backend_pgf.PdfPages`
+
+.. code-block:: python
+
+    from matplotlib.backends.backend_pgf import PdfPages
+    import matplotlib.pyplot as plt
+
+    with PdfPages('multipage.pdf', metadata={'author': 'Me'}) as pdf:
+
+        fig1, ax1 = plt.subplots()
+        ax1.plot([1, 5, 3])
+        pdf.savefig(fig1)
+
+        fig2, ax2 = plt.subplots()
+        ax2.plot([1, 5, 3])
+        pdf.savefig(fig2)
+
+
+.. redirect-from:: /gallery/userdemo/pgf_fonts
+
+Font specification
+==================
+
+The fonts used for obtaining the size of text elements or when compiling
+figures to PDF are usually defined in the `.rcParams`. You can also use the
+LaTeX default Computer Modern fonts by clearing the lists for :rc:`font.serif`,
+:rc:`font.sans-serif` or :rc:`font.monospace`. Please note that the glyph
+coverage of these fonts is very limited. If you want to keep the Computer
+Modern font face but require extended Unicode support, consider installing the
+`Computer Modern Unicode`__ fonts *CMU Serif*, *CMU Sans Serif*, etc.
+
+__ https://sourceforge.net/projects/cm-unicode/
+
+When saving to ``.pgf``, the font configuration Matplotlib used for the
+layout of the figure is included in the header of the text file.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    plt.rcParams.update({
+        "font.family": "serif",
+        # Use LaTeX default serif font.
+        "font.serif": [],
+        # Use specific cursive fonts.
+        "font.cursive": ["Comic Neue", "Comic Sans MS"],
+    })
+
+    fig, ax = plt.subplots(figsize=(4.5, 2.5))
+
+    ax.plot(range(5))
+
+    ax.text(0.5, 3., "serif")
+    ax.text(0.5, 2., "monospace", family="monospace")
+    ax.text(2.5, 2., "sans-serif", family="DejaVu Sans")  # Use specific sans font.
+    ax.text(2.5, 1., "comic", family="cursive")
+    ax.set_xlabel("µ is not $\\mu$")
+
+.. redirect-from:: /gallery/userdemo/pgf_preamble_sgskip
+
+.. _pgf-preamble:
+
+Custom preamble
+===============
+
+Full customization is possible by adding your own commands to the preamble.
+Use :rc:`pgf.preamble` if you want to configure the math fonts,
+using ``unicode-math`` for example, or for loading additional packages. Also,
+if you want to do the font configuration yourself instead of using the fonts
+specified in the rc parameters, make sure to disable :rc:`pgf.rcfonts`.
+
+.. code-block:: python
+
+    import matplotlib as mpl
+
+    mpl.use("pgf")
+    import matplotlib.pyplot as plt
+
+    plt.rcParams.update({
+        "font.family": "serif",  # use serif/main font for text elements
+        "text.usetex": True,     # use inline math for ticks
+        "pgf.rcfonts": False,    # don't setup fonts from rc parameters
+        "pgf.preamble": "\n".join([
+             r"\usepackage{url}",            # load additional packages
+             r"\usepackage{unicode-math}",   # unicode math setup
+             r"\setmainfont{DejaVu Serif}",  # serif font via preamble
+        ])
+    })
+
+    fig, ax = plt.subplots(figsize=(4.5, 2.5))
+
+    ax.plot(range(5))
+
+    ax.set_xlabel("unicode text: �, ψ, €, ü")
+    ax.set_ylabel(r"\url{https://matplotlib.org}")
+    ax.legend(["unicode math: $λ=∑_i^∞ μ_i^2$"])
+
+.. redirect-from:: /gallery/userdemo/pgf_texsystem
+
+.. _pgf-texsystem:
+
+Choosing the TeX system
+=======================
+
+The TeX system to be used by Matplotlib is chosen by :rc:`pgf.texsystem`.
+Possible values are ``'xelatex'`` (default), ``'lualatex'`` and ``'pdflatex'``.
+Please note that when selecting pdflatex, the fonts and Unicode handling must
+be configured in the preamble.
+
+.. code-block:: python
+
+    import matplotlib.pyplot as plt
+
+    plt.rcParams.update({
+        "pgf.texsystem": "pdflatex",
+        "pgf.preamble": "\n".join([
+             r"\usepackage[utf8x]{inputenc}",
+             r"\usepackage[T1]{fontenc}",
+             r"\usepackage{cmbright}",
+        ]),
+    })
+
+    fig, ax = plt.subplots(figsize=(4.5, 2.5))
+
+    ax.plot(range(5))
+
+    ax.text(0.5, 3., "serif", family="serif")
+    ax.text(0.5, 2., "monospace", family="monospace")
+    ax.text(2.5, 2., "sans-serif", family="sans-serif")
+    ax.set_xlabel(r"µ is not $\mu$")
+
+.. _pgf-troubleshooting:
+
+Troubleshooting
+===============
+
+* Make sure LaTeX is working and on your :envvar:`PATH` (for raster output,
+  pdftocairo or ghostscript is also required).  The :envvar:`PATH` environment
+  variable may need to be modified (in particular on Windows) to include the
+  directories containing the executable. See :ref:`environment-variables` and
+  :ref:`setting-windows-environment-variables` for details.
+
+* Sometimes the font rendering in figures that are saved to png images is
+  very bad. This happens when the pdftocairo tool is not available and
+  ghostscript is used for the pdf to png conversion.
+
+* Make sure what you are trying to do is possible in a LaTeX document,
+  that your LaTeX syntax is valid and that you are using raw strings
+  if necessary to avoid unintended escape sequences.
+
+* :rc:`pgf.preamble` provides lots of flexibility, and lots of
+  ways to cause problems. When experiencing problems, try to minimalize or
+  disable the custom preamble.
+
+* Configuring an ``unicode-math`` environment can be a bit tricky. The
+  TeXLive distribution for example provides a set of math fonts which are
+  usually not installed system-wide. XeLaTeX, unlike LuaLaTeX, cannot find
+  these fonts by their name, which is why you might have to specify
+  ``\setmathfont{xits-math.otf}`` instead of ``\setmathfont{XITS Math}`` or
+  alternatively make the fonts available to your OS. See this
+  `tex.stackexchange.com question`__ for more details.
+
+  __ https://tex.stackexchange.com/q/43642/
+
+* If the font configuration used by Matplotlib differs from the font setting
+  in yout LaTeX document, the alignment of text elements in imported figures
+  may be off. Check the header of your ``.pgf`` file if you are unsure about
+  the fonts Matplotlib used for the layout.
+
+* Vector images and hence ``.pgf`` files can become bloated if there are a lot
+  of objects in the graph. This can be the case for image processing or very
+  big scatter graphs.  In an extreme case this can cause TeX to run out of
+  memory: "TeX capacity exceeded, sorry"  You can configure latex to increase
+  the amount of memory available to generate the ``.pdf`` image as discussed on
+  `tex.stackexchange.com <https://tex.stackexchange.com/q/7953/>`_.
+  Another way would be to "rasterize" parts of the graph causing problems
+  using either the ``rasterized=True`` keyword, or ``.set_rasterized(True)`` as
+  per :doc:`this example </gallery/misc/rasterization_demo>`.
+
+* Various math fonts are compiled and rendered only if corresponding font
+  packages are loaded. Specifically, when using ``\mathbf{}`` on Greek letters,
+  the default computer modern font may not contain them, in which case the
+  letter is not rendered. In such scenarios, the ``lmodern`` package should be
+  loaded.
+
+* If you still need help, please see :ref:`reporting-problems`
+
+.. _LaTeX: http://www.tug.org
+.. _TeXLive: http://www.tug.org/texlive/
+"""
diff --git a/galleries/users_explain/text/text_intro.py b/galleries/users_explain/text/text_intro.py
new file mode 100644
index 000000000000..29210021369c
--- /dev/null
+++ b/galleries/users_explain/text/text_intro.py
@@ -0,0 +1,423 @@
+"""
+
+.. redirect-from:: /tutorials/text/text_intro
+
+.. _text_intro:
+
+==================
+Text in Matplotlib
+==================
+
+Matplotlib has extensive text support, including support for
+mathematical expressions, truetype support for raster and
+vector outputs, newline separated text with arbitrary
+rotations, and Unicode support.
+
+Because it embeds fonts directly in output documents, e.g., for postscript
+or PDF, what you see on the screen is what you get in the hardcopy.
+`FreeType <https://www.freetype.org/>`_ support
+produces very nice, antialiased fonts, that look good even at small
+raster sizes.  Matplotlib includes its own
+:mod:`matplotlib.font_manager` (thanks to Paul Barrett), which
+implements a cross platform, `W3C <https://www.w3.org/>`_
+compliant font finding algorithm.
+
+The user has a great deal of control over text properties (font size, font
+weight, text location and color, etc.) with sensible defaults set in
+the :ref:`rc file <customizing>`.
+And significantly, for those interested in mathematical
+or scientific figures, Matplotlib implements a large number of TeX
+math symbols and commands, supporting :ref:`mathematical expressions
+<mathtext>` anywhere in your figure.
+
+
+Basic text commands
+===================
+
+The following commands are used to create text in the implicit and explicit
+interfaces (see :ref:`api_interfaces` for an explanation of the tradeoffs):
+
+=================== =================== ======================================
+implicit API        explicit API        description
+=================== =================== ======================================
+`~.pyplot.text`     `~.Axes.text`       Add text at an arbitrary location of
+                                        the `~matplotlib.axes.Axes`.
+
+`~.pyplot.annotate` `~.Axes.annotate`   Add an annotation, with an optional
+                                        arrow, at an arbitrary location of the
+                                        `~matplotlib.axes.Axes`.
+
+`~.pyplot.xlabel`   `~.Axes.set_xlabel` Add a label to the
+                                        `~matplotlib.axes.Axes`\\'s x-axis.
+
+`~.pyplot.ylabel`   `~.Axes.set_ylabel` Add a label to the
+                                        `~matplotlib.axes.Axes`\\'s y-axis.
+
+`~.pyplot.title`    `~.Axes.set_title`  Add a title to the
+                                        `~matplotlib.axes.Axes`.
+
+`~.pyplot.figtext`  `~.Figure.text`     Add text at an arbitrary location of
+                                        the `.Figure`.
+
+`~.pyplot.suptitle` `~.Figure.suptitle` Add a title to the `.Figure`.
+=================== =================== ======================================
+
+All of these functions create and return a `.Text` instance, which can be
+configured with a variety of font and other properties.  The example below
+shows all of these commands in action, and more detail is provided in the
+sections that follow.
+
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib
+
+fig = plt.figure()
+ax = fig.add_subplot()
+fig.subplots_adjust(top=0.85)
+
+# Set titles for the figure and the subplot respectively
+fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')
+ax.set_title('axes title')
+
+ax.set_xlabel('xlabel')
+ax.set_ylabel('ylabel')
+
+# Set both x- and y-axis limits to [0, 10] instead of default [0, 1]
+ax.axis([0, 10, 0, 10])
+
+ax.text(3, 8, 'boxed italics text in data coords', style='italic',
+        bbox={'facecolor': 'red', 'alpha': 0.5, 'pad': 10})
+
+ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)
+
+ax.text(3, 2, 'Unicode: Institut für Festkörperphysik')
+
+ax.text(0.95, 0.01, 'colored text in axes coords',
+        verticalalignment='bottom', horizontalalignment='right',
+        transform=ax.transAxes,
+        color='green', fontsize=15)
+
+ax.plot([2], [1], 'o')
+ax.annotate('annotate', xy=(2, 1), xytext=(3, 4),
+            arrowprops=dict(facecolor='black', shrink=0.05))
+
+plt.show()
+
+# %%
+# Labels for x- and y-axis
+# ========================
+#
+# Specifying the labels for the x- and y-axis is straightforward, via the
+# `~matplotlib.axes.Axes.set_xlabel` and `~matplotlib.axes.Axes.set_ylabel`
+# methods.
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x1 = np.linspace(0.0, 5.0, 100)
+y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.15, left=0.2)
+ax.plot(x1, y1)
+ax.set_xlabel('Time (s)')
+ax.set_ylabel('Damped oscillation (V)')
+
+plt.show()
+
+# %%
+# The x- and y-labels are automatically placed so that they clear the x- and
+# y-ticklabels.  Compare the plot below with that above, and note the y-label
+# is to the left of the one above.
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.15, left=0.2)
+ax.plot(x1, y1*10000)
+ax.set_xlabel('Time (s)')
+ax.set_ylabel('Damped oscillation (V)')
+
+plt.show()
+
+# %%
+# If you want to move the labels, you can specify the *labelpad* keyword
+# argument, where the value is points (1/72", the same unit used to specify
+# font sizes).
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.15, left=0.2)
+ax.plot(x1, y1*10000)
+ax.set_xlabel('Time (s)')
+ax.set_ylabel('Damped oscillation (V)', labelpad=18)
+
+plt.show()
+
+# %%
+# Alternatively, the labels accept all the `.Text` keyword arguments, including
+# *position*, via which we can manually specify the label positions.  Here we
+# put the xlabel to the far left of the axis.  Note, that the y-coordinate of
+# this position has no effect - to adjust the y-position we need to use the
+# *labelpad* keyword argument.
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.15, left=0.2)
+ax.plot(x1, y1)
+ax.set_xlabel('Time (s)', position=(0., 1e6), horizontalalignment='left')
+ax.set_ylabel('Damped oscillation (V)')
+
+plt.show()
+
+# %%
+# All the labelling in this tutorial can be changed by manipulating the
+# `matplotlib.font_manager.FontProperties` method, or by named keyword
+# arguments to `~matplotlib.axes.Axes.set_xlabel`.
+
+from matplotlib.font_manager import FontProperties
+
+font = FontProperties(family='Times New Roman', style='italic')
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.15, left=0.2)
+ax.plot(x1, y1)
+ax.set_xlabel('Time (s)', fontsize='large', fontweight='bold')
+ax.set_ylabel('Damped oscillation (V)', fontproperties=font)
+
+plt.show()
+
+# %%
+# Finally, we can use native TeX rendering in all text objects and have
+# multiple lines:
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(bottom=0.2, left=0.2)
+ax.plot(x1, np.cumsum(y1**2))
+ax.set_xlabel('Time (s) \n This was a long experiment')
+ax.set_ylabel(r'$\int\ Y^2\ dt\ \ (V^2 s)$')
+plt.show()
+
+
+# %%
+# Titles
+# ======
+#
+# Subplot titles are set in much the same way as labels, but there is
+# the *loc* keyword argument that can change the position and justification
+# (the default value is "center").
+
+fig, axs = plt.subplots(3, 1, figsize=(5, 6), tight_layout=True)
+locs = ['center', 'left', 'right']
+for ax, loc in zip(axs, locs):
+    ax.plot(x1, y1)
+    ax.set_title('Title with loc at ' + loc, loc=loc)
+plt.show()
+
+# %%
+# Vertical spacing for titles is controlled via :rc:`axes.titlepad`.
+# Setting to a different value moves the title.
+
+fig, ax = plt.subplots(figsize=(5, 3))
+fig.subplots_adjust(top=0.8)
+ax.plot(x1, y1)
+ax.set_title('Vertically offset title', pad=30)
+plt.show()
+
+
+# %%
+# Ticks and ticklabels
+# ====================
+#
+# Placing ticks and ticklabels is a very tricky aspect of making a figure.
+# Matplotlib does its best to accomplish the task automatically, but it also
+# offers a very flexible framework for determining the choices for tick
+# locations, and how they are labelled.
+#
+# Terminology
+# ^^^^^^^^^^^
+#
+# *Axes* have a `matplotlib.axis.Axis` object for the ``ax.xaxis`` and
+# ``ax.yaxis`` that contain the information about how the labels in the axis
+# are laid out.
+#
+# The axis API is explained in detail in the documentation to
+# `~matplotlib.axis`.
+#
+# An Axis object has major and minor ticks.  The Axis has
+# `.Axis.set_major_locator` and `.Axis.set_minor_locator` methods that use the
+# data being plotted to determine the location of major and minor ticks.  There
+# are also `.Axis.set_major_formatter` and `.Axis.set_minor_formatter` methods
+# that format the tick labels.
+#
+# Simple ticks
+# ^^^^^^^^^^^^
+#
+# It is often convenient to simply define the
+# tick values, and sometimes the tick labels, overriding the default
+# locators and formatters. However, this is discouraged because it breaks
+# interactive navigation of the plot. It also can reset the axis limits: note
+# that the second plot has the ticks we asked for, including ones that are
+# well outside the automatic view limits.
+
+fig, axs = plt.subplots(2, 1, figsize=(5, 3), tight_layout=True)
+axs[0].plot(x1, y1)
+axs[1].plot(x1, y1)
+axs[1].xaxis.set_ticks(np.arange(0., 8.1, 2.))
+plt.show()
+
+# %%
+# We can of course fix this after the fact, but it does highlight a
+# weakness of hard-coding the ticks.  This example also changes the format
+# of the ticks:
+
+fig, axs = plt.subplots(2, 1, figsize=(5, 3), tight_layout=True)
+axs[0].plot(x1, y1)
+axs[1].plot(x1, y1)
+ticks = np.arange(0., 8.1, 2.)
+# list comprehension to get all tick labels...
+tickla = [f'{tick:1.2f}' for tick in ticks]
+axs[1].xaxis.set_ticks(ticks)
+axs[1].xaxis.set_ticklabels(tickla)
+axs[1].set_xlim(axs[0].get_xlim())
+plt.show()
+
+# %%
+# Tick locators and formatters
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+#
+# Instead of making a list of all the ticklabels, we could have
+# used `matplotlib.ticker.StrMethodFormatter` (new-style ``str.format()``
+# format string) or `matplotlib.ticker.FormatStrFormatter` (old-style '%'
+# format string) and passed it to the ``ax.xaxis``.  A
+# `matplotlib.ticker.StrMethodFormatter` can also be created by passing a
+# ``str`` without having to explicitly create the formatter.
+
+fig, axs = plt.subplots(2, 1, figsize=(5, 3), tight_layout=True)
+axs[0].plot(x1, y1)
+axs[1].plot(x1, y1)
+ticks = np.arange(0., 8.1, 2.)
+axs[1].xaxis.set_ticks(ticks)
+axs[1].xaxis.set_major_formatter('{x:1.1f}')
+axs[1].set_xlim(axs[0].get_xlim())
+plt.show()
+
+# %%
+# And of course we could have used a non-default locator to set the
+# tick locations.  Note we still pass in the tick values, but the
+# x-limit fix used above is *not* needed.
+
+fig, axs = plt.subplots(2, 1, figsize=(5, 3), tight_layout=True)
+axs[0].plot(x1, y1)
+axs[1].plot(x1, y1)
+locator = matplotlib.ticker.FixedLocator(ticks)
+axs[1].xaxis.set_major_locator(locator)
+axs[1].xaxis.set_major_formatter('±{x}°')
+plt.show()
+
+# %%
+# The default formatter is the `matplotlib.ticker.MaxNLocator` called as
+# ``ticker.MaxNLocator(self, nbins='auto', steps=[1, 2, 2.5, 5, 10])``.
+# The ``steps`` argument contains a list of multiples that can be used for
+# tick values. In this case, 2, 4, 6 would be acceptable ticks,
+# as would 20, 40, 60 or 0.2, 0.4, 0.6. However, 3, 6, 9 would not be
+# acceptable because 3 doesn't appear in the list of steps.
+#
+# Setting ``nbins=auto`` uses an algorithm to determine how many ticks will
+# be acceptable based on the axis length. The fontsize of the
+# ticklabel is taken into account, but the length of the tick string
+# is not (because it's not yet known.)  In the bottom row, the
+# ticklabels are quite large, so we set ``nbins=4`` to make the
+# labels fit in the right-hand plot.
+
+fig, axs = plt.subplots(2, 2, figsize=(8, 5), tight_layout=True)
+for n, ax in enumerate(axs.flat):
+    ax.plot(x1*10., y1)
+
+formatter = matplotlib.ticker.FormatStrFormatter('%1.1f')
+locator = matplotlib.ticker.MaxNLocator(nbins='auto', steps=[1, 4, 10])
+axs[0, 1].xaxis.set_major_locator(locator)
+axs[0, 1].xaxis.set_major_formatter(formatter)
+
+formatter = matplotlib.ticker.FormatStrFormatter('%1.5f')
+locator = matplotlib.ticker.AutoLocator()
+axs[1, 0].xaxis.set_major_formatter(formatter)
+axs[1, 0].xaxis.set_major_locator(locator)
+
+formatter = matplotlib.ticker.FormatStrFormatter('%1.5f')
+locator = matplotlib.ticker.MaxNLocator(nbins=4)
+axs[1, 1].xaxis.set_major_formatter(formatter)
+axs[1, 1].xaxis.set_major_locator(locator)
+
+plt.show()
+
+# %%
+#  Finally, we can specify functions for the formatter using
+# `matplotlib.ticker.FuncFormatter`.  Further, like
+# `matplotlib.ticker.StrMethodFormatter`, passing a function will
+# automatically create a `matplotlib.ticker.FuncFormatter`.
+
+
+def formatoddticks(x, pos):
+    """Format odd tick positions."""
+    if x % 2:
+        return f'{x:1.2f}'
+    else:
+        return ''
+
+
+fig, ax = plt.subplots(figsize=(5, 3), tight_layout=True)
+ax.plot(x1, y1)
+locator = matplotlib.ticker.MaxNLocator(nbins=6)
+ax.xaxis.set_major_formatter(formatoddticks)
+ax.xaxis.set_major_locator(locator)
+
+plt.show()
+
+
+# %%
+# Dateticks
+# ^^^^^^^^^
+#
+# Matplotlib can accept `datetime.datetime` and `numpy.datetime64`
+# objects as plotting arguments.  Dates and times require special
+# formatting, which can often benefit from manual intervention. In
+# order to help, dates have special locators and formatters,
+# defined in the `matplotlib.dates` module.
+#
+# The following simple example illustrates this concept. Note how we
+# rotate the tick labels so that they don't overlap.
+
+import datetime
+
+fig, ax = plt.subplots(figsize=(5, 3), tight_layout=True)
+base = datetime.datetime(2017, 1, 1, 0, 0, 1)
+time = [base + datetime.timedelta(days=x) for x in range(len(x1))]
+
+ax.plot(time, y1)
+ax.tick_params(axis='x', rotation=70)
+plt.show()
+
+# %%
+# We can pass a format to `matplotlib.dates.DateFormatter`. If two tick labels
+# are very close together, we can use the `.dates.DayLocator` class, which
+# allows us to specify a list of days of the month to use. Similar formatters
+# are listed in the `matplotlib.dates` module.
+
+import matplotlib.dates as mdates
+
+locator = mdates.DayLocator(bymonthday=[1, 15])
+formatter = mdates.DateFormatter('%b %d')
+
+fig, ax = plt.subplots(figsize=(5, 3), tight_layout=True)
+ax.xaxis.set_major_locator(locator)
+ax.xaxis.set_major_formatter(formatter)
+ax.plot(time, y1)
+ax.tick_params(axis='x', rotation=70)
+plt.show()
+
+# %%
+# Legends and annotations
+# =======================
+#
+# - :ref:`legend_guide`
+# - :ref:`annotations`
+#
diff --git a/galleries/users_explain/text/text_props.py b/galleries/users_explain/text/text_props.py
new file mode 100644
index 000000000000..c5ae22c02d38
--- /dev/null
+++ b/galleries/users_explain/text/text_props.py
@@ -0,0 +1,272 @@
+"""
+
+.. redirect-from:: /tutorials/text/text_props
+
+.. _text_props:
+
+============================
+ Text properties and layout
+============================
+
+Controlling properties of text and its layout with Matplotlib.
+
+`matplotlib.text.Text` instances have a variety of properties which can be
+configured via keyword arguments to `~.Axes.set_title`, `~.Axes.set_xlabel`,
+`~.Axes.text`, etc.
+
+==========================  ======================================================================================================================
+Property                    Value Type
+==========================  ======================================================================================================================
+alpha                       `float`
+backgroundcolor             any matplotlib :ref:`color <colors_def>`
+bbox                        `~matplotlib.patches.Rectangle` prop dict plus key ``'pad'`` which is a pad in points
+clip_box                    a matplotlib.transform.Bbox instance
+clip_on                     bool
+clip_path                   a `~matplotlib.path.Path` instance and a `~matplotlib.transforms.Transform` instance, a `~matplotlib.patches.Patch`
+color                       any matplotlib :ref:`color <colors_def>`
+family                      [ ``'serif'`` | ``'sans-serif'`` | ``'cursive'`` | ``'fantasy'`` | ``'monospace'`` ]
+fontproperties              `~matplotlib.font_manager.FontProperties`
+horizontalalignment or ha   [ ``'center'`` | ``'right'`` | ``'left'`` ]
+label                       any string
+linespacing                 `float`
+multialignment              [``'left'`` | ``'right'`` | ``'center'`` ]
+name or fontname            string e.g., [``'Sans'`` | ``'Courier'`` | ``'Helvetica'`` ...]
+picker                      [None|float|bool|callable]
+position                    (x, y)
+rotation                    [ angle in degrees | ``'vertical'`` | ``'horizontal'`` ]
+size or fontsize            [ size in points | relative size, e.g., ``'smaller'``, ``'x-large'`` ]
+style or fontstyle          [ ``'normal'`` | ``'italic'`` | ``'oblique'`` ]
+text                        string or anything printable with '%s' conversion
+transform                   `~matplotlib.transforms.Transform` subclass
+variant                     [ ``'normal'`` | ``'small-caps'`` ]
+verticalalignment or va     [ ``'center'`` | ``'top'`` | ``'bottom'`` | ``'baseline'`` ]
+visible                     bool
+weight or fontweight        [ ``'normal'`` | ``'bold'`` | ``'heavy'`` | ``'light'`` | ``'ultrabold'`` | ``'ultralight'``]
+x                           `float`
+y                           `float`
+zorder                      any number
+==========================  ======================================================================================================================
+
+
+You can lay out text with the alignment arguments
+``horizontalalignment``, ``verticalalignment``, and
+``multialignment``.  ``horizontalalignment`` controls whether the x
+positional argument for the text indicates the left, center or right
+side of the text bounding box. ``verticalalignment`` controls whether
+the y positional argument for the text indicates the bottom, center or
+top side of the text bounding box.  ``multialignment``, for newline
+separated strings only, controls whether the different lines are left,
+center or right justified.  Here is an example which uses the
+:func:`~matplotlib.pyplot.text` command to show the various alignment
+possibilities.  The use of ``transform=ax.transAxes`` throughout the
+code indicates that the coordinates are given relative to the Axes
+bounding box, with (0, 0) being the lower left of the Axes and (1, 1) the
+upper right.
+"""
+
+import matplotlib.pyplot as plt
+
+import matplotlib.patches as patches
+
+# build a rectangle in axes coords
+left, width = .25, .5
+bottom, height = .25, .5
+right = left + width
+top = bottom + height
+
+fig = plt.figure()
+ax = fig.add_axes([0, 0, 1, 1])
+
+# axes coordinates: (0, 0) is bottom left and (1, 1) is upper right
+p = patches.Rectangle(
+    (left, bottom), width, height,
+    fill=False, transform=ax.transAxes, clip_on=False
+    )
+
+ax.add_patch(p)
+
+ax.text(left, bottom, 'left top',
+        horizontalalignment='left',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, bottom, 'left bottom',
+        horizontalalignment='left',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right bottom',
+        horizontalalignment='right',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right top',
+        horizontalalignment='right',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(right, bottom, 'center top',
+        horizontalalignment='center',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5*(bottom+top), 'right center',
+        horizontalalignment='right',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5*(bottom+top), 'left center',
+        horizontalalignment='left',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(0.5*(left+right), 0.5*(bottom+top), 'middle',
+        horizontalalignment='center',
+        verticalalignment='center',
+        fontsize=20, color='red',
+        transform=ax.transAxes)
+
+ax.text(right, 0.5*(bottom+top), 'centered',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, top, 'rotated\nwith newlines',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation=45,
+        transform=ax.transAxes)
+
+ax.set_axis_off()
+plt.show()
+
+# %%
+# ==============
+#  Default Font
+# ==============
+#
+# The base default font is controlled by a set of rcParams. To set the font
+# for mathematical expressions, use the rcParams beginning with ``mathtext``
+# (see :ref:`mathtext <mathtext-fonts>`).
+#
+# +---------------------+----------------------------------------------------+
+# | rcParam             | usage                                              |
+# +=====================+====================================================+
+# | ``'font.family'``   | List of font families (installed on user's machine)|
+# |                     | and/or ``{'cursive', 'fantasy', 'monospace',       |
+# |                     | 'sans', 'sans serif', 'sans-serif', 'serif'}``.    |
+# |                     |                                                    |
+# +---------------------+----------------------------------------------------+
+# |  ``'font.style'``   | The default style, ex ``'normal'``,                |
+# |                     | ``'italic'``.                                      |
+# |                     |                                                    |
+# +---------------------+----------------------------------------------------+
+# | ``'font.variant'``  | Default variant, ex ``'normal'``, ``'small-caps'`` |
+# |                     | (untested)                                         |
+# +---------------------+----------------------------------------------------+
+# | ``'font.stretch'``  | Default stretch, ex ``'normal'``, ``'condensed'``  |
+# |                     | (incomplete)                                       |
+# |                     |                                                    |
+# +---------------------+----------------------------------------------------+
+# |  ``'font.weight'``  | Default weight.  Either string or integer          |
+# |                     |                                                    |
+# |                     |                                                    |
+# +---------------------+----------------------------------------------------+
+# |   ``'font.size'``   | Default font size in points.  Relative font sizes  |
+# |                     | (``'large'``, ``'x-small'``) are computed against  |
+# |                     | this size.                                         |
+# +---------------------+----------------------------------------------------+
+#
+# Matplotlib can use font families installed on the user's computer, i.e.
+# Helvetica, Times, etc. Font families can also be specified with
+# generic-family aliases like (``{'cursive', 'fantasy', 'monospace',
+# 'sans', 'sans serif', 'sans-serif', 'serif'}``).
+#
+# .. note::
+#    To access the full list of available fonts: ::
+#
+#       matplotlib.font_manager.get_font_names()
+#
+# The mapping between the generic family aliases and actual font families
+# (mentioned at :ref:`default rcParams <customizing>`)
+# is controlled by the following rcParams:
+#
+#
+# +------------------------------------------+--------------------------------+
+# | CSS-based generic-family alias           | rcParam with mappings          |
+# +==========================================+================================+
+# | ``'serif'``                              | ``'font.serif'``               |
+# +------------------------------------------+--------------------------------+
+# | ``'monospace'``                          | ``'font.monospace'``           |
+# +------------------------------------------+--------------------------------+
+# | ``'fantasy'``                            | ``'font.fantasy'``             |
+# +------------------------------------------+--------------------------------+
+# | ``'cursive'``                            | ``'font.cursive'``             |
+# +------------------------------------------+--------------------------------+
+# | ``{'sans', 'sans serif', 'sans-serif'}`` | ``'font.sans-serif'``          |
+# +------------------------------------------+--------------------------------+
+#
+#
+# If any of generic family names appear in ``'font.family'``, we replace that entry
+# by all the entries in the corresponding rcParam mapping.
+# For example: ::
+#
+#    matplotlib.rcParams['font.family'] = ['Family1', 'serif', 'Family2']
+#    matplotlib.rcParams['font.serif'] = ['SerifFamily1', 'SerifFamily2']
+#
+#    # This is effectively translated to:
+#    matplotlib.rcParams['font.family'] = ['Family1', 'SerifFamily1', 'SerifFamily2', 'Family2']
+#
+#
+# .. _font-nonlatin:
+#
+# Text with non-latin glyphs
+# ==========================
+#
+# As of v2.0 the :ref:`default font <default_changes_font>`, DejaVu, contains
+# glyphs for many western alphabets, but not other scripts, such as Chinese,
+# Korean, or Japanese.
+#
+# To set the default font to be one that supports the code points you
+# need, prepend the font name to ``'font.family'`` (recommended), or to the
+# desired alias lists. ::
+#
+#    # first method
+#    matplotlib.rcParams['font.family'] = ['Source Han Sans TW', 'sans-serif']
+#
+#    # second method
+#    matplotlib.rcParams['font.family'] = ['sans-serif']
+#    matplotlib.rcParams['sans-serif'] = ['Source Han Sans TW', ...]
+#
+# The generic family alias lists contain fonts that are either shipped
+# alongside Matplotlib (so they have 100% chance of being found), or fonts
+# which have a very high probability of being present in most systems.
+#
+# A good practice when setting custom font families is to append
+# a generic-family to the font-family list as a last resort.
+#
+# You can also set it in your :file:`.matplotlibrc` file::
+#
+#    font.family: Source Han Sans TW, Arial, sans-serif
+#
+# To control the font used on per-artist basis use the *name*, *fontname* or
+# *fontproperties* keyword arguments documented in :ref:`text_props`.
+#
+#
+# On linux, `fc-list <https://linux.die.net/man/1/fc-list>`__ can be a
+# useful tool to discover the font name; for example ::
+#
+#    $ fc-list :lang=zh family
+#    Noto to Sans Mono CJK TC,Noto Sans Mono CJK TC Bold
+#    Noto Sans CJK TC,Noto Sans CJK TC Medium
+#    Noto Sans CJK TC,Noto Sans CJK TC DemiLight
+#    Noto Sans CJK KR,Noto Sans CJK KR Black
+#    Noto Sans CJK TC,Noto Sans CJK TC Black
+#    Noto Sans Mono CJK TC,Noto Sans Mono CJK TC Regular
+#    Noto Sans CJK SC,Noto Sans CJK SC Light
+#
+# lists all of the fonts that support Chinese.
+#
diff --git a/galleries/users_explain/text/usetex.py b/galleries/users_explain/text/usetex.py
new file mode 100644
index 000000000000..e687ec7af5bf
--- /dev/null
+++ b/galleries/users_explain/text/usetex.py
@@ -0,0 +1,167 @@
+r"""
+.. redirect-from:: /tutorials/text/usetex
+
+.. _usetex:
+
+*************************
+Text rendering with LaTeX
+*************************
+
+Matplotlib can use LaTeX to render text.  This is activated by setting
+``text.usetex : True`` in your rcParams, or by setting the ``usetex`` property
+to True on individual `.Text` objects.  Text handling through LaTeX is slower
+than Matplotlib's very capable :ref:`mathtext <mathtext>`, but
+is more flexible, since different LaTeX packages (font packages, math packages,
+etc.) can be used. The results can be striking, especially when you take care
+to use the same fonts in your figures as in the main document.
+
+Matplotlib's LaTeX support requires a working LaTeX_ installation.  For
+the \*Agg backends, dvipng_ is additionally required; for the PS backend,
+PSfrag_, dvips_ and Ghostscript_ are additionally required.  For the PDF
+and SVG backends, if LuaTeX is present, it will be used to speed up some
+post-processing steps, but note that it is not used to parse the TeX string
+itself (only LaTeX is supported).  The executables for these external
+dependencies must all be located on your :envvar:`PATH`.
+
+Only a small number of font families (defined by the PSNFSS_ scheme) are
+supported.  They are listed here, with the corresponding LaTeX font selection
+commands and LaTeX packages, which are automatically used.
+
+=========================== =================================================
+generic family              fonts
+=========================== =================================================
+serif (``\rmfamily``)       Computer Modern Roman, Palatino (``mathpazo``),
+                            Times (``mathptmx``),  Bookman (``bookman``),
+                            New Century Schoolbook (``newcent``),
+                            Charter (``charter``)
+
+sans-serif (``\sffamily``)  Computer Modern Serif, Helvetica (``helvet``),
+                            Avant Garde (``avant``)
+
+cursive (``\rmfamily``)     Zapf Chancery (``chancery``)
+
+monospace (``\ttfamily``)   Computer Modern Typewriter, Courier (``courier``)
+=========================== =================================================
+
+The default font family (which does not require loading any LaTeX package) is
+Computer Modern.  All other families are Adobe fonts.  Times and Palatino each
+have their own accompanying math fonts, while the other Adobe serif fonts make
+use of the Computer Modern math fonts.
+
+To enable LaTeX and select a font, use e.g.::
+
+    plt.rcParams.update({
+        "text.usetex": True,
+        "font.family": "Helvetica"
+    })
+
+or equivalently, set your :ref:`matplotlibrc <customizing>` to::
+
+    text.usetex : true
+    font.family : Helvetica
+
+It is also possible to instead set ``font.family`` to one of the generic family
+names and then configure the corresponding generic family; e.g.::
+
+    plt.rcParams.update({
+        "text.usetex": True,
+        "font.family": "sans-serif",
+        "font.sans-serif": "Helvetica",
+    })
+
+(this was the required approach until Matplotlib 3.5).
+
+Here is the standard example,
+:doc:`/gallery/text_labels_and_annotations/tex_demo`:
+
+.. figure:: /gallery/text_labels_and_annotations/images/sphx_glr_tex_demo_001.png
+   :target: /gallery/text_labels_and_annotations/tex_demo.html
+   :align: center
+
+Note that display math mode (``$$ e=mc^2 $$``) is not supported, but adding the
+command ``\displaystyle``, as in the above demo, will produce the same results.
+
+Non-ASCII characters (e.g. the degree sign in the y-label above) are supported
+to the extent that they are supported by inputenc_.
+
+.. note::
+   For consistency with the non-usetex case, Matplotlib special-cases newlines,
+   so that single-newlines yield linebreaks (rather than being interpreted as
+   whitespace in standard LaTeX).
+
+   Matplotlib uses the underscore_ package so that underscores (``_``) are
+   printed "as-is" in text mode (rather than causing an error as in standard
+   LaTeX).  Underscores still introduce subscripts in math mode.
+
+.. note::
+   Certain characters require special escaping in TeX, such as::
+
+     # $ % & ~ ^ \ { } \( \) \[ \]
+
+   Therefore, these characters will behave differently depending on
+   :rc:`text.usetex`.  As noted above, underscores (``_``) do not require
+   escaping outside of math mode.
+
+.. note::
+   LaTeX always defaults to using a serif font for math (even when
+   ``rcParams["font.family"] = "sans-serif"``).  If desired, adding
+   ``\usepackage{sfmath}`` to ``rcParams["text.latex.preamble"]`` lets LaTeX
+   output sans-serif math.
+
+PostScript options
+==================
+
+In order to produce encapsulated PostScript (EPS) files that can be embedded
+in a new LaTeX document, the default behavior of Matplotlib is to distill the
+output, which removes some PostScript operators used by LaTeX that are illegal
+in an EPS file. This step produces results which may be unacceptable to some
+users, because the text is coarsely rasterized and converted to bitmaps, which
+are not scalable like standard PostScript, and the text is not searchable. One
+workaround is to set :rc:`ps.distiller.res` to a higher value (perhaps 6000)
+in your rc settings, which will produce larger files but may look better and
+scale reasonably. A better workaround, which requires Poppler_ or Xpdf_, can
+be activated by changing :rc:`ps.usedistiller` to ``xpdf``. This alternative
+produces PostScript without rasterizing text, so it scales properly, can be
+edited in Adobe Illustrator, and searched text in pdf documents.
+
+.. _usetex-troubleshooting:
+
+Troubleshooting
+===============
+
+* Try deleting your :file:`.matplotlib/tex.cache` directory. If you don't know
+  where to find :file:`.matplotlib`, see :ref:`locating-matplotlib-config-dir`.
+
+* Make sure LaTeX, dvipng, and Ghostscript are each working and on your
+  :envvar:`PATH`.  The :envvar:`PATH` environment variable may need to
+  be modified (in particular on Windows) to include the directories
+  containing the executables. See :ref:`environment-variables` and
+  :ref:`setting-windows-environment-variables` for details.
+
+* Make sure what you are trying to do is possible in a LaTeX document,
+  that your LaTeX syntax is valid and that you are using raw strings
+  if necessary to avoid unintended escape sequences.
+
+* :rc:`text.latex.preamble` is not officially supported. This
+  option provides lots of flexibility, and lots of ways to cause
+  problems. Please disable this option before reporting problems.
+
+* Using MiKTeX with Computer Modern fonts, if you get odd \*Agg and PNG
+  results, go to MiKTeX/Options and update your format files.
+
+* Some required LaTeX packages, such as type1cm, may be missing from minimalist
+  TeX installs.  Required packages are listed at :ref:`tex-dependencies`.
+
+* If you still need help, please see :ref:`reporting-problems`.
+
+.. _dvipng: http://www.nongnu.org/dvipng/
+.. _dvips: https://tug.org/texinfohtml/dvips.html
+.. _Ghostscript: https://ghostscript.com/
+.. _inputenc: https://ctan.org/pkg/inputenc
+.. _LaTeX: http://www.tug.org
+.. _Poppler: https://poppler.freedesktop.org/
+.. _PSNFSS: http://www.ctan.org/tex-archive/macros/latex/required/psnfss/psnfss2e.pdf
+.. _PSfrag: https://ctan.org/pkg/psfrag
+.. _underscore: https://ctan.org/pkg/underscore
+.. _Xpdf: http://www.xpdfreader.com/
+"""
diff --git a/galleries/users_explain/toolkits/axes_grid.rst b/galleries/users_explain/toolkits/axes_grid.rst
new file mode 100644
index 000000000000..694fd1178c04
--- /dev/null
+++ b/galleries/users_explain/toolkits/axes_grid.rst
@@ -0,0 +1,332 @@
+.. redirect-from:: /tutorials/toolkits/axes_grid
+
+.. _axes_grid1_users-guide-index:
+.. _axes_grid:
+
+======================
+The axes_grid1 toolkit
+======================
+
+:mod:`.axes_grid1` provides the following features:
+
+- Helper classes (ImageGrid_, RGBAxes_, AxesDivider_) to ease the layout of
+  axes displaying images with a fixed aspect ratio while satisfying additional
+  constraints (matching the heights of a colorbar and an image, or fixing the
+  padding between images);
+- ParasiteAxes_ (twinx/twiny-like features so that you can plot different data
+  (e.g., different y-scale) in a same Axes);
+- AnchoredArtists_ (custom artists which are placed at an anchored position,
+  similarly to legends).
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_demo_axes_grid_001.png
+   :target: /gallery/axes_grid1/demo_axes_grid.html
+   :align: center
+
+axes_grid1
+==========
+
+ImageGrid
+---------
+
+In Matplotlib, axes location and size are usually specified in normalized
+figure coordinates (0 = bottom left, 1 = top right), which makes
+it difficult to achieve a fixed (absolute) padding between images.
+`~.axes_grid1.axes_grid.ImageGrid` can be used to achieve such a padding; see
+its docs for detailed API information.
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_simple_axesgrid_001.png
+   :target: /gallery/axes_grid1/simple_axesgrid.html
+   :align: center
+
+* The position of each axes is determined at the drawing time (see
+  AxesDivider_), so that the size of the entire grid fits in the
+  given rectangle (like the aspect of axes). Note that in this example,
+  the paddings between axes are fixed even if you change the figure
+  size.
+
+* Axes in the same column share their x-axis, and axes in the same row share
+  their y-axis (in the sense of `~.Axes.sharex`, `~.Axes.sharey`).
+  Additionally, Axes in the same column all have the same width, and axes in
+  the same row all have the same height.  These widths and heights are scaled
+  in proportion to the axes' view limits (xlim or ylim).
+
+  .. figure:: /gallery/axes_grid1/images/sphx_glr_simple_axesgrid2_001.png
+     :target: /gallery/axes_grid1/simple_axesgrid2.html
+     :align: center
+
+The examples below show what you can do with ImageGrid.
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_demo_axes_grid_001.png
+   :target: /gallery/axes_grid1/demo_axes_grid.html
+   :align: center
+
+AxesDivider class
+-----------------
+
+Behind the scenes, ImageGrid (and RGBAxes, described below) rely on
+`~.axes_grid1.axes_divider.AxesDivider`, whose role is to calculate the
+location of the axes at drawing time.
+
+Users typically do not need to directly instantiate dividers
+by calling `~.axes_grid1.axes_divider.AxesDivider`; instead,
+`~.axes_grid1.axes_divider.make_axes_locatable` can be used to create a divider
+for an Axes::
+
+  ax = subplot(1, 1, 1)
+  divider = make_axes_locatable(ax)
+
+`.AxesDivider.append_axes` can then be used to create a new axes on a given
+side ("left", "right", "top", "bottom") of the original axes.
+
+colorbar whose height (or width) is in sync with the main axes
+--------------------------------------------------------------
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_demo_colorbar_with_axes_divider_001.png
+   :target: /gallery/axes_grid1/demo_colorbar_with_axes_divider.html
+   :align: center
+
+scatter_hist.py with AxesDivider
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The :doc:`/gallery/lines_bars_and_markers/scatter_hist` example can be
+rewritten using `~.axes_grid1.axes_divider.make_axes_locatable`::
+
+    axScatter = plt.subplot()
+    axScatter.scatter(x, y)
+    axScatter.set_aspect(1.)
+
+    # create new axes on the right and on the top of the current axes.
+    divider = make_axes_locatable(axScatter)
+    axHistx = divider.append_axes("top", size=1.2, pad=0.1, sharex=axScatter)
+    axHisty = divider.append_axes("right", size=1.2, pad=0.1, sharey=axScatter)
+
+    # the scatter plot:
+    # histograms
+    bins = np.arange(-lim, lim + binwidth, binwidth)
+    axHistx.hist(x, bins=bins)
+    axHisty.hist(y, bins=bins, orientation='horizontal')
+
+See the full source code below.
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_scatter_hist_locatable_axes_001.png
+   :target: /gallery/axes_grid1/scatter_hist_locatable_axes.html
+   :align: center
+
+The :doc:`/gallery/axes_grid1/scatter_hist_locatable_axes` using the
+AxesDivider has some advantages over the
+original :doc:`/gallery/lines_bars_and_markers/scatter_hist` in Matplotlib.
+For example, you can set the aspect ratio of the scatter plot, even with the
+x-axis or y-axis is shared accordingly.
+
+ParasiteAxes
+------------
+
+The ParasiteAxes is an Axes whose location is identical to its host
+axes. The location is adjusted in the drawing time, thus it works even
+if the host change its location (e.g., images).
+
+In most cases, you first create a host axes, which provides a few
+methods that can be used to create parasite axes. They are ``twinx``,
+``twiny`` (which are similar to ``twinx`` and ``twiny`` in the matplotlib) and
+``twin``. ``twin`` takes an arbitrary transformation that maps between the
+data coordinates of the host axes and the parasite axes. The ``draw``
+method of the parasite axes are never called. Instead, host axes
+collects artists in parasite axes and draws them as if they belong to
+the host axes, i.e., artists in parasite axes are merged to those of
+the host axes and then drawn according to their zorder.  The host and
+parasite axes modifies some of the axes behavior. For example, color
+cycle for plot lines are shared between host and parasites. Also, the
+legend command in host, creates a legend that includes lines in the
+parasite axes.  To create a host axes, you may use ``host_subplot`` or
+``host_axes`` command.
+
+Example 1: twinx
+^^^^^^^^^^^^^^^^
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_parasite_simple_001.png
+   :target: /gallery/axes_grid1/parasite_simple.html
+   :align: center
+
+Example 2: twin
+^^^^^^^^^^^^^^^
+
+``twin`` without a transform argument assumes that the parasite axes has the
+same data transform as the host. This can be useful when you want the
+top(or right)-axis to have different tick-locations, tick-labels, or
+tick-formatter for bottom(or left)-axis. ::
+
+  ax2 = ax.twin() # now, ax2 is responsible for "top" axis and "right" axis
+  ax2.set_xticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi],
+                 labels=["0", r"$\frac{1}{2}\pi$",
+                         r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_simple_axisline4_001.png
+   :target: /gallery/axes_grid1/simple_axisline4.html
+   :align: center
+
+A more sophisticated example using twin. Note that if you change the
+x-limit in the host axes, the x-limit of the parasite axes will change
+accordingly.
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_parasite_simple2_001.png
+   :target: /gallery/axes_grid1/parasite_simple2.html
+   :align: center
+
+AnchoredArtists
+---------------
+
+:mod:`.axes_grid1.anchored_artists` is a collection of artists whose location
+is anchored to the (axes) bbox, similarly to legends.  These artists derive
+from `.offsetbox.OffsetBox`, and the artist need to be drawn in canvas
+coordinates.  There is limited support for arbitrary transforms.  For example,
+the ellipse in the example below will have width and height in data coordinates.
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_simple_anchored_artists_001.png
+   :target: /gallery/axes_grid1/simple_anchored_artists.html
+   :align: center
+
+InsetLocator
+------------
+
+.. seealso::
+   `.Axes.inset_axes` and `.Axes.indicate_inset_zoom` in the main library.
+
+:mod:`.axes_grid1.inset_locator` provides helper classes and functions to
+place inset axes at an anchored position of the parent axes, similarly to
+AnchoredArtist.
+
+`.inset_locator.inset_axes` creates an inset axes whose size is either fixed,
+or a fixed proportion of the parent axes::
+
+    inset_axes = inset_axes(parent_axes,
+                            width="30%",  # width = 30% of parent_bbox
+                            height=1.,  # height = 1 inch
+                            loc='lower left')
+
+creates an inset axes whose width is 30% of the parent axes and whose
+height is fixed at 1 inch.
+
+`.inset_locator.zoomed_inset_axes` creates an inset axes whose data scale is
+that of the parent axes multiplied by some factor, e.g. ::
+
+    inset_axes = zoomed_inset_axes(ax,
+                                   0.5,  # zoom = 0.5
+                                   loc='upper right')
+
+creates an inset axes whose data scale is half of the parent axes.  This can be
+useful to mark the zoomed area on the parent axes:
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_inset_locator_demo_001.png
+   :target: /gallery/axes_grid1/inset_locator_demo.html
+   :align: center
+
+`.inset_locator.mark_inset` allows marking the location of the area represented
+by the inset axes:
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_inset_locator_demo2_001.png
+   :target: /gallery/axes_grid1/inset_locator_demo2.html
+   :align: center
+
+RGBAxes
+-------
+
+RGBAxes is a helper class to conveniently show RGB composite
+images. Like ImageGrid, the location of axes are adjusted so that the
+area occupied by them fits in a given rectangle.  Also, the xaxis and
+yaxis of each axes are shared. ::
+
+    from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
+
+    fig = plt.figure()
+    ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
+    r, g, b = get_rgb()  # r, g, b are 2D images.
+    ax.imshow_rgb(r, g, b)
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_demo_axes_rgb_001.png
+   :target: /gallery/axes_grid1/demo_axes_rgb.html
+   :align: center
+
+AxesDivider
+===========
+
+The :mod:`mpl_toolkits.axes_grid1.axes_divider` module provides helper classes
+to adjust the axes positions of a set of images at drawing time.
+
+* :mod:`~mpl_toolkits.axes_grid1.axes_size` provides a class of
+  units that are used to determine the size of each axes. For example,
+  you can specify a fixed size.
+
+* `~mpl_toolkits.axes_grid1.axes_divider.Divider` is the class that
+  calculates the axes position. It divides the given rectangular area into
+  several areas. The divider is initialized by setting the lists of horizontal
+  and vertical sizes on which the division will be based. Then use
+  :meth:`~mpl_toolkits.axes_grid1.axes_divider.Divider.new_locator`, which
+  returns a callable object that can be used to set the axes_locator of the
+  axes.
+
+Here, we demonstrate how to achieve the following layout: we want to position
+axes in a 3x4 grid (note that `.Divider` makes row indices start from the
+*bottom*\(!) of the grid):
+
+.. code-block:: none
+
+   ┌────────┬────────┬────────┬────────�
+   │ (2, 0) │ (2, 1) │ (2, 2) │ (2, 3) │
+   ├────────┼────────┼────────┼────────┤
+   │ (1, 0) │ (1, 1) │ (1, 2) │ (1, 3) │
+   ├────────┼────────┼────────┼────────┤
+   │ (0, 0) │ (0, 1) │ (0, 2) │ (0, 3) │
+   └────────┴────────┴────────┴────────┘
+
+such that the bottom row has a fixed height of 2 (inches) and the top two rows
+have a height ratio of 2 (middle) to 3 (top).  (For example, if the grid has
+a size of 7 inches, the bottom row will be 2 inches, the middle row also 2
+inches, and the top row 3 inches.)
+
+These constraints are specified using classes from the
+:mod:`~mpl_toolkits.axes_grid1.axes_size` module, namely::
+
+    from mpl_toolkits.axes_grid1.axes_size import Fixed, Scaled
+    vert = [Fixed(2), Scaled(2), Scaled(3)]
+
+(More generally, :mod:`~mpl_toolkits.axes_grid1.axes_size` classes define a
+``get_size(renderer)`` method that returns a pair of floats -- a relative size,
+and an absolute size.  ``Fixed(2).get_size(renderer)`` returns ``(0, 2)``;
+``Scaled(2).get_size(renderer)`` returns ``(2, 0)``.)
+
+We use these constraints to initialize a `.Divider` object::
+
+    rect = [0.2, 0.2, 0.6, 0.6]  # Position of the grid in the figure.
+    vert = [Fixed(2), Scaled(2), Scaled(3)]  # As above.
+    horiz = [...]  # Some other horizontal constraints.
+    divider = Divider(fig, rect, horiz, vert)
+
+then use `.Divider.new_locator` to create an axes locator callable for a
+given grid entry::
+
+    locator = divider.new_locator(nx=0, ny=1)  # Grid entry (1, 0).
+
+and make it responsible for locating the axes::
+
+    ax.set_axes_locator(locator)
+
+The axes locator callable returns the location and size of
+the cell at the first column and the second row.
+
+Locators that spans over multiple cells can be created with, e.g.::
+
+    # Columns #0 and #1 ("0-2 range"), row #1.
+    locator = divider.new_locator(nx=0, nx1=2, ny=1)
+
+See the example,
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_simple_axes_divider1_001.png
+   :target: /gallery/axes_grid1/simple_axes_divider1.html
+   :align: center
+
+You can also adjust the size of each axes according to its x or y
+data limits (AxesX and AxesY).
+
+.. figure:: /gallery/axes_grid1/images/sphx_glr_simple_axes_divider3_001.png
+   :target: /gallery/axes_grid1/simple_axes_divider3.html
+   :align: center
diff --git a/galleries/users_explain/toolkits/axisartist.rst b/galleries/users_explain/toolkits/axisartist.rst
new file mode 100644
index 000000000000..eff2b575a63f
--- /dev/null
+++ b/galleries/users_explain/toolkits/axisartist.rst
@@ -0,0 +1,581 @@
+.. redirect-from:: /tutorials/toolkits/axisartist
+
+.. _axisartist:
+
+======================
+The axisartist toolkit
+======================
+
+.. warning::
+   *axisartist* uses a custom Axes class
+   (derived from the Matplotlib's original Axes class).
+   As a side effect, some commands (mostly tick-related) do not work.
+
+The *axisartist* contains a custom Axes class that is meant to support
+curvilinear grids (e.g., the world coordinate system in astronomy).
+Unlike Matplotlib's original Axes class which uses Axes.xaxis and Axes.yaxis
+to draw ticks, ticklines, etc., axisartist uses a special
+artist (AxisArtist) that can handle ticks, ticklines, etc. for
+curved coordinate systems.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axis_001.png
+   :target: /gallery/axisartist/demo_floating_axis.html
+   :align: center
+
+Since it uses special artists, some Matplotlib commands that work on
+Axes.xaxis and Axes.yaxis may not work.
+
+.. _axisartist_users-guide-index:
+
+axisartist
+==========
+
+The *axisartist* module provides a custom (and very experimental) Axes
+class, where each axis (left, right, top, and bottom) have a separate
+associated artist which is responsible for drawing the axis-line, ticks,
+ticklabels, and labels.  You can also create your own axis, which can pass
+through a fixed position in the axes coordinate, or a fixed position
+in the data coordinate (i.e., the axis floats around when viewlimit
+changes).
+
+The axes class, by default, has its xaxis and yaxis invisible, and
+has 4 additional artists which are responsible for drawing the 4 axis spines in
+"left", "right", "bottom", and "top".  They are accessed as
+ax.axis["left"], ax.axis["right"], and so on, i.e., ax.axis is a
+dictionary that contains artists (note that ax.axis is still a
+callable method and it behaves as an original Axes.axis method in
+Matplotlib).
+
+To create an Axes, ::
+
+  import mpl_toolkits.axisartist as AA
+  fig = plt.figure()
+  fig.add_axes([0.1, 0.1, 0.8, 0.8], axes_class=AA.Axes)
+
+or to create a subplot ::
+
+  fig.add_subplot(111, axes_class=AA.Axes)
+  # Given that 111 is the default, one can also do
+  fig.add_subplot(axes_class=AA.Axes)
+
+For example, you can hide the right and top spines using::
+
+  ax.axis["right"].set_visible(False)
+  ax.axis["top"].set_visible(False)
+
+.. figure:: /gallery/axisartist/images/sphx_glr_simple_axisline3_001.png
+   :target: /gallery/axisartist/simple_axisline3.html
+   :align: center
+
+It is also possible to add a horizontal axis. For example, you may have an
+horizontal axis at y=0 (in data coordinate). ::
+
+    ax.axis["y=0"] = ax.new_floating_axis(nth_coord=0, value=0)
+
+.. figure:: /gallery/axisartist/images/sphx_glr_simple_axisartist1_001.png
+   :target: /gallery/axisartist/simple_axisartist1.html
+   :align: center
+
+Or a fixed axis with some offset ::
+
+    # make new (right-side) yaxis, but with some offset
+    ax.axis["right2"] = ax.new_fixed_axis(loc="right", offset=(20, 0))
+
+axisartist with ParasiteAxes
+----------------------------
+
+Most commands in the axes_grid1 toolkit can take an axes_class keyword
+argument, and the commands create an Axes of the given class. For example,
+to create a host subplot with axisartist.Axes, ::
+
+  import mpl_toolkits.axisartist as AA
+  from mpl_toolkits.axes_grid1 import host_subplot
+
+  host = host_subplot(111, axes_class=AA.Axes)
+
+Here is an example that uses ParasiteAxes.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_parasite_axes2_001.png
+   :target: /gallery/axisartist/demo_parasite_axes2.html
+   :align: center
+
+Curvilinear grid
+----------------
+
+The motivation behind the AxisArtist module is to support a curvilinear grid
+and ticks.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid_001.png
+   :target: /gallery/axisartist/demo_curvelinear_grid.html
+   :align: center
+
+Floating Axes
+-------------
+
+AxisArtist also supports a Floating Axes whose outer axes are defined as
+floating axis.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axes_001.png
+   :target: /gallery/axisartist/demo_floating_axes.html
+   :align: center
+
+axisartist namespace
+====================
+
+The *axisartist* namespace includes a derived Axes implementation. The
+biggest difference is that the artists responsible to draw axis line,
+ticks, ticklabel and axis labels are separated out from the Matplotlib's Axis
+class, which are much more than artists in the original Matplotlib. This
+change was strongly motivated to support curvilinear grid. Here are a
+few things that mpl_toolkits.axisartist.Axes is different from original
+Axes from Matplotlib.
+
+* Axis elements (axis line(spine), ticks, ticklabel and axis labels)
+  are drawn by a AxisArtist instance. Unlike Axis, left, right, top
+  and bottom axis are drawn by separate artists. And each of them may
+  have different tick location and different tick labels.
+
+* gridlines are drawn by a Gridlines instance. The change was
+  motivated that in curvilinear coordinate, a gridline may not cross
+  axis-lines (i.e., no associated ticks). In the original Axes class,
+  gridlines are tied to ticks.
+
+* ticklines can be rotated if necessary (i.e, along the gridlines)
+
+In summary, all these changes was to support
+
+* a curvilinear grid.
+* a floating axis
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_floating_axis_001.png
+   :target: /gallery/axisartist/demo_floating_axis.html
+   :align: center
+
+*mpl_toolkits.axisartist.Axes* class defines a *axis* attribute, which
+is a dictionary of AxisArtist instances. By default, the dictionary
+has 4 AxisArtist instances, responsible for drawing of left, right,
+bottom and top axis.
+
+xaxis and yaxis attributes are still available, however they are set
+to not visible. As separate artists are used for rendering axis, some
+axis-related method in Matplotlib may have no effect.
+In addition to AxisArtist instances, the mpl_toolkits.axisartist.Axes will
+have *gridlines* attribute (Gridlines), which obviously draws grid
+lines.
+
+In both AxisArtist and Gridlines, the calculation of tick and grid
+location is delegated to an instance of GridHelper class.
+mpl_toolkits.axisartist.Axes class uses GridHelperRectlinear as a grid
+helper. The GridHelperRectlinear class is a wrapper around the *xaxis*
+and *yaxis* of Matplotlib's original Axes, and it was meant to work as the
+way how Matplotlib's original axes works. For example, tick location changes
+using set_ticks method and etc. should work as expected. But change in
+artist properties (e.g., color) will not work in general, although
+some effort has been made so that some often-change attributes (color,
+etc.) are respected.
+
+AxisArtist
+==========
+
+AxisArtist can be considered as a container artist with following
+attributes which will draw ticks, labels, etc.
+
+* line
+* major_ticks, major_ticklabels
+* minor_ticks, minor_ticklabels
+* offsetText
+* label
+
+line
+----
+
+Derived from Line2D class. Responsible for drawing a spinal(?) line.
+
+major_ticks, minor_ticks
+------------------------
+
+Derived from Line2D class. Note that ticks are markers.
+
+major_ticklabels, minor_ticklabels
+----------------------------------
+
+Derived from Text. Note that it is not a list of Text artist, but a
+single artist (similar to a collection).
+
+axislabel
+---------
+
+Derived from Text.
+
+Default AxisArtists
+===================
+
+By default, following for axis artists are defined.::
+
+  ax.axis["left"], ax.axis["bottom"], ax.axis["right"], ax.axis["top"]
+
+The ticklabels and axislabel of the top and the right axis are set to
+not visible.
+
+For example, if you want to change the color attributes of
+major_ticklabels of the bottom x-axis ::
+
+  ax.axis["bottom"].major_ticklabels.set_color("b")
+
+Similarly, to make ticklabels invisible ::
+
+  ax.axis["bottom"].major_ticklabels.set_visible(False)
+
+AxisArtist provides a helper method to control the visibility of ticks,
+ticklabels, and label. To make ticklabel invisible, ::
+
+  ax.axis["bottom"].toggle(ticklabels=False)
+
+To make all of ticks, ticklabels, and (axis) label invisible ::
+
+      ax.axis["bottom"].toggle(all=False)
+
+To turn all off but ticks on ::
+
+      ax.axis["bottom"].toggle(all=False, ticks=True)
+
+To turn all on but (axis) label off ::
+
+      ax.axis["bottom"].toggle(all=True, label=False)
+
+ax.axis's __getitem__ method can take multiple axis names. For
+example, to turn ticklabels of "top" and "right" axis on, ::
+
+      ax.axis["top", "right"].toggle(ticklabels=True)
+
+Note that ``ax.axis["top", "right"]`` returns a simple proxy object that
+translate above code to something like below. ::
+
+      for n in ["top", "right"]:
+          ax.axis[n].toggle(ticklabels=True)
+
+So, any return values in the for loop are ignored. And you should not
+use it anything more than a simple method.
+
+Like the list indexing ":" means all items, i.e., ::
+
+      ax.axis[:].major_ticks.set_color("r")
+
+changes tick color in all axis.
+
+HowTo
+=====
+
+1. Changing tick locations and label.
+
+   Same as the original Matplotlib's axes::
+
+    ax.set_xticks([1, 2, 3])
+
+2. Changing axis properties like color, etc.
+
+   Change the properties of appropriate artists. For example, to change
+   the color of the ticklabels::
+
+    ax.axis["left"].major_ticklabels.set_color("r")
+
+3. To change the attributes of multiple axis::
+
+    ax.axis["left", "bottom"].major_ticklabels.set_color("r")
+
+   or to change the attributes of all axis::
+
+    ax.axis[:].major_ticklabels.set_color("r")
+
+4. To change the tick size (length), you need to use
+   axis.major_ticks.set_ticksize method. To change the direction of
+   the ticks (ticks are in opposite direction of ticklabels by
+   default), use axis.major_ticks.set_tick_out method.
+
+   To change the pad between ticks and ticklabels, use
+   axis.major_ticklabels.set_pad method.
+
+   To change the pad between ticklabels and axis label,
+   axis.label.set_pad method.
+
+Rotation and alignment of TickLabels
+====================================
+
+This is also quite different from standard Matplotlib and can be
+confusing. When you want to rotate the ticklabels, first consider
+using "set_axis_direction" method. ::
+
+  ax1.axis["left"].major_ticklabels.set_axis_direction("top")
+  ax1.axis["right"].label.set_axis_direction("left")
+
+.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_direction01_001.png
+   :target: /gallery/axisartist/simple_axis_direction01.html
+   :align: center
+
+The parameter for set_axis_direction is one of ["left", "right",
+"bottom", "top"].
+
+You must understand some underlying concept of directions.
+
+- There is a reference direction which is defined as the direction
+  of the axis line with increasing coordinate.  For example, the
+  reference direction of the left x-axis is from bottom to top.
+
+  The direction, text angle, and alignments of the ticks, ticklabels and
+  axis-label is determined with respect to the reference direction
+
+- *label_direction* and *ticklabel_direction* are either the right-hand side
+  (+) of the reference direction or the left-hand side (-).
+
+- ticks are by default drawn toward the opposite direction of the ticklabels.
+
+- text rotation of ticklabels and label is determined in reference
+  to the *ticklabel_direction* or *label_direction*,
+  respectively. The rotation of ticklabels and label is anchored.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_axis_direction_001.png
+   :target: /gallery/axisartist/axis_direction.html
+   :align: center
+
+On the other hand, there is a concept of "axis_direction". This is a
+default setting of above properties for each, "bottom", "left", "top",
+and "right" axis.
+
+.. table:: ``axislabel`` property defaults
+
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | reference direction | label direction | label rotation | horizontal alignment | vertical alignment |
+   +=====================+=================+================+======================+====================+
+   | left                | '-'             | 180            | right                | center             |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | bottom              | '+'             | 0              | center               | top                |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | right               | '+'             | 0              | right                | center             |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | top                 | '-'             | 180            | center               | bottom             |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+
+
+
+.. table:: ``ticklabel`` property defaults
+
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | reference direction | label direction | label rotation | horizontal alignment | vertical alignment |
+   +=====================+=================+================+======================+====================+
+   | left                | '-'             | 90             | right                | center             |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | bottom              | '+'             | 0              | center               | baseline           |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | right               | '+'             | -90            | right                | center             |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+   | top                 | '-'             | 180            | center               | baseline           |
+   +---------------------+-----------------+----------------+----------------------+--------------------+
+
+
+
+And, 'set_axis_direction("top")' means to adjust the text rotation
+etc, for settings suitable for "top" axis. The concept of axis
+direction can be more clear with curved axis.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_axis_direction_001.png
+   :target: /gallery/axisartist/demo_axis_direction.html
+   :align: center
+
+The axis_direction can be adjusted in the AxisArtist level, or in the
+level of its child artists, i.e., ticks, ticklabels, and axis-label. ::
+
+  ax1.axis["left"].set_axis_direction("top")
+
+changes axis_direction of all the associated artist with the "left"
+axis, while ::
+
+  ax1.axis["left"].major_ticklabels.set_axis_direction("top")
+
+changes the axis_direction of only the major_ticklabels.  Note that
+set_axis_direction in the AxisArtist level changes the
+ticklabel_direction and label_direction, while changing the
+axis_direction of ticks, ticklabels, and axis-label does not affect
+them.
+
+If you want to make ticks outward and ticklabels inside the axes,
+use invert_ticklabel_direction method. ::
+
+   ax.axis[:].invert_ticklabel_direction()
+
+A related method is "set_tick_out". It makes ticks outward (as a
+matter of fact, it makes ticks toward the opposite direction of the
+default direction). ::
+
+   ax.axis[:].major_ticks.set_tick_out(True)
+
+.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_direction03_001.png
+   :target: /gallery/axisartist/simple_axis_direction03.html
+   :align: center
+
+So, in summary,
+
+* AxisArtist's methods
+
+  - set_axis_direction: "left", "right", "bottom", or "top"
+  - set_ticklabel_direction: "+" or "-"
+  - set_axislabel_direction: "+" or "-"
+  - invert_ticklabel_direction
+
+* Ticks' methods (major_ticks and minor_ticks)
+
+  - set_tick_out: True or False
+  - set_ticksize: size in points
+
+* TickLabels' methods (major_ticklabels and minor_ticklabels)
+
+  - set_axis_direction: "left", "right", "bottom", or "top"
+  - set_rotation: angle with respect to the reference direction
+  - set_ha and set_va: see below
+
+* AxisLabels' methods (label)
+
+  - set_axis_direction: "left", "right", "bottom", or "top"
+  - set_rotation: angle with respect to the reference direction
+  - set_ha and set_va
+
+Adjusting ticklabels alignment
+------------------------------
+
+Alignment of TickLabels are treated specially. See below
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_ticklabel_alignment_001.png
+   :target: /gallery/axisartist/demo_ticklabel_alignment.html
+   :align: center
+
+Adjusting pad
+-------------
+
+To change the pad between ticks and ticklabels ::
+
+  ax.axis["left"].major_ticklabels.set_pad(10)
+
+Or ticklabels and axis-label ::
+
+  ax.axis["left"].label.set_pad(10)
+
+.. figure:: /gallery/axisartist/images/sphx_glr_simple_axis_pad_001.png
+   :target: /gallery/axisartist/simple_axis_pad.html
+   :align: center
+
+GridHelper
+==========
+
+To actually define a curvilinear coordinate, you have to use your own
+grid helper. A generalised version of grid helper class is supplied
+and this class should suffice in most of cases. A user may provide
+two functions which defines a transformation (and its inverse pair)
+from the curved coordinate to (rectilinear) image coordinate. Note that
+while ticks and grids are drawn for curved coordinate, the data
+transform of the axes itself (ax.transData) is still rectilinear
+(image) coordinate. ::
+
+    from mpl_toolkits.axisartist.grid_helper_curvelinear \
+         import GridHelperCurveLinear
+    from mpl_toolkits.axisartist import Axes
+
+    # from curved coordinate to rectlinear coordinate.
+    def tr(x, y):
+        x, y = np.asarray(x), np.asarray(y)
+        return x, y-x
+
+    # from rectlinear coordinate to curved coordinate.
+    def inv_tr(x, y):
+        x, y = np.asarray(x), np.asarray(y)
+        return x, y+x
+
+    grid_helper = GridHelperCurveLinear((tr, inv_tr))
+
+    fig.add_subplot(axes_class=Axes, grid_helper=grid_helper)
+
+You may use Matplotlib's Transform instance instead (but a
+inverse transformation must be defined). Often, coordinate range in a
+curved coordinate system may have a limited range, or may have
+cycles. In those cases, a more customized version of grid helper is
+required. ::
+
+    import mpl_toolkits.axisartist.angle_helper as angle_helper
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
+
+    # extreme finder: find a range of coordinate.
+    # 20, 20: number of sampling points along x, y direction
+    # The first coordinate (longitude, but theta in polar)
+    #   has a cycle of 360 degree.
+    # The second coordinate (latitude, but radius in polar)  has a minimum of 0
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf),
+                                                     )
+
+    # Find a grid values appropriate for the coordinate (degree,
+    # minute, second). The argument is a approximate number of grids.
+    grid_locator1 = angle_helper.LocatorDMS(12)
+
+    # And also uses an appropriate formatter.  Note that the acceptable Locator
+    # and Formatter classes are different than that of Matplotlib's, and you
+    # cannot directly use Matplotlib's Locator and Formatter here (but may be
+    # possible in the future).
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(tr,
+                                        extreme_finder=extreme_finder,
+                                        grid_locator1=grid_locator1,
+                                        tick_formatter1=tick_formatter1
+                                        )
+
+Again, the *transData* of the axes is still a rectilinear coordinate
+(image coordinate). You may manually do conversion between two
+coordinates, or you may use Parasite Axes for convenience.::
+
+    ax1 = SubplotHost(fig, 1, 2, 2, grid_helper=grid_helper)
+
+    # A parasite axes with given transform
+    ax2 = ax1.get_aux_axes(tr, "equal")
+    # note that ax2.transData == tr + ax1.transData
+    # Anything you draw in ax2 will match the ticks and grids of ax1.
+
+.. figure:: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid_001.png
+   :target: /gallery/axisartist/demo_curvelinear_grid.html
+   :align: center
+
+FloatingAxis
+============
+
+A floating axis is an axis one of whose data coordinate is fixed, i.e,
+its location is not fixed in Axes coordinate but changes as axes data
+limits changes. A floating axis can be created using
+*new_floating_axis* method. However, it is your responsibility that
+the resulting AxisArtist is properly added to the axes. A recommended
+way is to add it as an item of Axes's axis attribute.::
+
+    # floating axis whose first (index starts from 0) coordinate
+    # (theta) is fixed at 60
+
+    ax1.axis["lat"] = axis = ax1.new_floating_axis(0, 60)
+    axis.label.set_text(r"$\theta = 60^{\circ}$")
+    axis.label.set_visible(True)
+
+See the first example of this page.
+
+Current limitations and TODO's
+==============================
+
+The code need more refinement. Here is a incomplete list of issues and TODO's
+
+* No easy way to support a user customized tick location (for
+  curvilinear grid). A new Locator class needs to be created.
+
+* FloatingAxis may have coordinate limits, e.g., a floating axis of x = 0,
+  but y only spans from 0 to 1.
+
+* The location of axislabel of FloatingAxis needs to be optionally
+  given as a coordinate value. ex, a floating axis of x=0 with label at y=1
diff --git a/galleries/users_explain/toolkits/index.rst b/galleries/users_explain/toolkits/index.rst
new file mode 100644
index 000000000000..d9f38388da81
--- /dev/null
+++ b/galleries/users_explain/toolkits/index.rst
@@ -0,0 +1,15 @@
+.. _tutorials-toolkits:
+
+.. redirect-from:: /tutorials/toolkits
+
+User Toolkits
+=============
+
+Here you can find examples and explanations of how to use various toolkits available in Matplotlib.
+
+.. toctree::
+   :maxdepth: 1
+
+   axisartist
+   axes_grid
+   mplot3d
diff --git a/galleries/users_explain/toolkits/mplot3d.rst b/galleries/users_explain/toolkits/mplot3d.rst
new file mode 100644
index 000000000000..b4ddc48790cb
--- /dev/null
+++ b/galleries/users_explain/toolkits/mplot3d.rst
@@ -0,0 +1,172 @@
+
+
+.. redirect-from:: /tutorials/toolkits/mplot3d
+
+.. _mplot3d:
+
+===================
+The mplot3d toolkit
+===================
+
+Generating 3D plots using the mplot3d toolkit.
+
+This tutorial showcases various 3D plots. Click on the figures to see each full
+gallery example with the code that generates the figures.
+
+.. contents::
+   :backlinks: none
+
+3D Axes (of class `.Axes3D`) are created by passing the ``projection="3d"``
+keyword argument to `.Figure.add_subplot`::
+
+   import matplotlib.pyplot as plt
+   fig = plt.figure()
+   ax = fig.add_subplot(projection='3d')
+
+Multiple 3D subplots can be added on the same figure, as for 2D subplots.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_subplot3d_001.png
+   :target: /gallery/mplot3d/subplot3d.html
+   :align: center
+
+.. versionchanged:: 3.2.0
+   Prior to Matplotlib 3.2.0, it was necessary to explicitly import the
+   :mod:`mpl_toolkits.mplot3d` module to make the '3d' projection to
+   `.Figure.add_subplot`.
+
+See the :ref:`toolkit_mplot3d-faq` for more information about the mplot3d
+toolkit.
+
+.. _plot3d:
+
+Line plots
+==========
+See `.Axes3D.plot` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_lines3d_001.png
+   :target: /gallery/mplot3d/lines3d.html
+   :align: center
+
+.. _scatter3d:
+
+Scatter plots
+=============
+See `.Axes3D.scatter` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_scatter3d_001.png
+   :target: /gallery/mplot3d/scatter3d.html
+   :align: center
+
+.. _wireframe:
+
+Wireframe plots
+===============
+See `.Axes3D.plot_wireframe` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_wire3d_001.png
+   :target: /gallery/mplot3d/wire3d.html
+   :align: center
+
+.. _surface:
+
+Surface plots
+=============
+See `.Axes3D.plot_surface` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_surface3d_001.png
+   :target: /gallery/mplot3d/surface3d.html
+   :align: center
+
+.. _trisurface:
+
+Tri-Surface plots
+=================
+See `.Axes3D.plot_trisurf` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_trisurf3d_001.png
+   :target: /gallery/mplot3d/trisurf3d.html
+   :align: center
+
+.. _contour3d:
+
+Contour plots
+=============
+See `.Axes3D.contour` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_contour3d_001.png
+   :target: /gallery/mplot3d/contour3d.html
+   :align: center
+
+.. _contourf3d:
+
+Filled contour plots
+====================
+See `.Axes3D.contourf` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_contourf3d_001.png
+   :target: /gallery/mplot3d/contourf3d.html
+   :align: center
+
+.. versionadded:: 1.1.0
+   The feature demoed in the second contourf3d example was enabled as a
+   result of a bugfix for version 1.1.0.
+
+.. _fillbetween3d:
+
+Fill between 3D lines
+=====================
+See `.Axes3D.fill_between` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_fillbetween3d_001.png
+   :target: /gallery/mplot3d/fillbetween3d.html
+   :align: center
+
+.. versionadded:: 3.10
+
+.. _polygon3d:
+
+Polygon plots
+=============
+See `.Axes3D.add_collection3d` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_polys3d_001.png
+   :target: /gallery/mplot3d/polys3d.html
+   :align: center
+
+.. _bar3d:
+
+Bar plots
+=========
+See `.Axes3D.bar` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_bars3d_001.png
+   :target: /gallery/mplot3d/bars3d.html
+   :align: center
+
+.. _quiver3d:
+
+Quiver
+======
+See `.Axes3D.quiver` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_quiver3d_001.png
+   :target: /gallery/mplot3d/quiver3d.html
+   :align: center
+
+.. _2dcollections3d:
+
+2D plots in 3D
+==============
+.. figure:: /gallery/mplot3d/images/sphx_glr_2dcollections3d_001.png
+   :target: /gallery/mplot3d/2dcollections3d.html
+   :align: center
+
+.. _text3d:
+
+Text
+====
+See `.Axes3D.text` for API documentation.
+
+.. figure:: /gallery/mplot3d/images/sphx_glr_text3d_001.png
+   :target: /gallery/mplot3d/text3d.html
+   :align: center
diff --git a/lib/matplotlib/__init__.py b/lib/matplotlib/__init__.py
index 076895866604..9abc6c5a84dd 100644
--- a/lib/matplotlib/__init__.py
+++ b/lib/matplotlib/__init__.py
@@ -1,5 +1,5 @@
 """
-This is an object-oriented plotting library.
+An object-oriented plotting library.
 
 A procedural interface is provided by the companion pyplot module,
 which may be imported directly, e.g.::
@@ -17,909 +17,775 @@
 
 at the ipython shell prompt.
 
-For the most part, direct use of the object-oriented library is
-encouraged when programming; pyplot is primarily for working
-interactively.  The
-exceptions are the pyplot commands :func:`~matplotlib.pyplot.figure`,
-:func:`~matplotlib.pyplot.subplot`,
-:func:`~matplotlib.pyplot.subplots`, and
-:func:`~pyplot.savefig`, which can greatly simplify scripting.
+For the most part, direct use of the explicit object-oriented library is
+encouraged when programming; the implicit pyplot interface is primarily for
+working interactively. The exceptions to this suggestion are the pyplot
+functions `.pyplot.figure`, `.pyplot.subplot`, `.pyplot.subplots`, and
+`.pyplot.savefig`, which can greatly simplify scripting.  See
+:ref:`api_interfaces` for an explanation of the tradeoffs between the implicit
+and explicit interfaces.
 
 Modules include:
 
-    :mod:`matplotlib.axes`
-        defines the :class:`~matplotlib.axes.Axes` class.  Most pylab
-        commands are wrappers for :class:`~matplotlib.axes.Axes`
-        methods.  The axes module is the highest level of OO access to
-        the library.
+:mod:`matplotlib.axes`
+    The `~.axes.Axes` class.  Most pyplot functions are wrappers for
+    `~.axes.Axes` methods.  The axes module is the highest level of OO
+    access to the library.
 
-    :mod:`matplotlib.figure`
-        defines the :class:`~matplotlib.figure.Figure` class.
+:mod:`matplotlib.figure`
+    The `.Figure` class.
 
-    :mod:`matplotlib.artist`
-        defines the :class:`~matplotlib.artist.Artist` base class for
-        all classes that draw things.
+:mod:`matplotlib.artist`
+    The `.Artist` base class for all classes that draw things.
 
-    :mod:`matplotlib.lines`
-        defines the :class:`~matplotlib.lines.Line2D` class for
-        drawing lines and markers
+:mod:`matplotlib.lines`
+    The `.Line2D` class for drawing lines and markers.
 
-    :mod:`matplotlib.patches`
-        defines classes for drawing polygons
+:mod:`matplotlib.patches`
+    Classes for drawing polygons.
 
-    :mod:`matplotlib.text`
-        defines the :class:`~matplotlib.text.Text`,
-        :class:`~matplotlib.text.TextWithDash`, and
-        :class:`~matplotlib.text.Annotate` classes
+:mod:`matplotlib.text`
+    The `.Text` and `.Annotation` classes.
 
-    :mod:`matplotlib.image`
-        defines the :class:`~matplotlib.image.AxesImage` and
-        :class:`~matplotlib.image.FigureImage` classes
+:mod:`matplotlib.image`
+    The `.AxesImage` and `.FigureImage` classes.
 
-    :mod:`matplotlib.collections`
-        classes for efficient drawing of groups of lines or polygons
+:mod:`matplotlib.collections`
+    Classes for efficient drawing of groups of lines or polygons.
 
-    :mod:`matplotlib.colors`
-        classes for interpreting color specifications and for making
-        colormaps
+:mod:`matplotlib.colors`
+    Color specifications and making colormaps.
 
-    :mod:`matplotlib.cm`
-        colormaps and the :class:`~matplotlib.image.ScalarMappable`
-        mixin class for providing color mapping functionality to other
-        classes
+:mod:`matplotlib.cm`
+    Colormaps, and the `.ScalarMappable` mixin class for providing color
+    mapping functionality to other classes.
 
-    :mod:`matplotlib.ticker`
-        classes for calculating tick mark locations and for formatting
-        tick labels
+:mod:`matplotlib.ticker`
+    Calculation of tick mark locations and formatting of tick labels.
 
-    :mod:`matplotlib.backends`
-        a subpackage with modules for various gui libraries and output
-        formats
+:mod:`matplotlib.backends`
+    A subpackage with modules for various GUI libraries and output formats.
 
 The base matplotlib namespace includes:
 
-    :data:`~matplotlib.rcParams`
-        a global dictionary of default configuration settings.  It is
-        initialized by code which may be overridded by a matplotlibrc
-        file.
+`~matplotlib.rcParams`
+    Default configuration settings; their defaults may be overridden using
+    a :file:`matplotlibrc` file.
 
-    :func:`~matplotlib.rc`
-        a function for setting groups of rcParams values
+`~matplotlib.use`
+    Setting the Matplotlib backend.  This should be called before any
+    figure is created, because it is not possible to switch between
+    different GUI backends after that.
 
-    :func:`~matplotlib.use`
-        a function for setting the matplotlib backend.  If used, this
-        function must be called immediately after importing matplotlib
-        for the first time.  In particular, it must be called
-        **before** importing pylab (if pylab is imported).
+The following environment variables can be used to customize the behavior:
 
-matplotlib was initially written by John D. Hunter (1968-2012) and is now
+:envvar:`MPLBACKEND`
+    This optional variable can be set to choose the Matplotlib backend. See
+    :ref:`what-is-a-backend`.
+
+:envvar:`MPLCONFIGDIR`
+    This is the directory used to store user customizations to
+    Matplotlib, as well as some caches to improve performance. If
+    :envvar:`MPLCONFIGDIR` is not defined, :file:`{HOME}/.config/matplotlib`
+    and :file:`{HOME}/.cache/matplotlib` are used on Linux, and
+    :file:`{HOME}/.matplotlib` on other platforms, if they are
+    writable. Otherwise, the Python standard library's `tempfile.gettempdir`
+    is used to find a base directory in which the :file:`matplotlib`
+    subdirectory is created.
+
+Matplotlib was initially written by John D. Hunter (1968-2012) and is now
 developed and maintained by a host of others.
 
 Occasionally the internal documentation (python docstrings) will refer
-to MATLAB&reg;, a registered trademark of The MathWorks, Inc.
+to MATLAB®, a registered trademark of The MathWorks, Inc.
 
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-import sys
-import distutils.version
-from itertools import chain
-
-__version__ = str('1.5.x')
-__version__numpy__ = str('1.6')  # minimum required numpy version
-
-try:
-    import dateutil
-except ImportError:
-    raise ImportError("matplotlib requires dateutil")
-
-
-def compare_versions(a, b):
-    "return True if a is greater than or equal to b"
-    if a:
-        if six.PY3:
-            if isinstance(a, bytes):
-                a = a.decode('ascii')
-            if isinstance(b, bytes):
-                b = b.decode('ascii')
-        a = distutils.version.LooseVersion(a)
-        b = distutils.version.LooseVersion(b)
-        return a >= b
-    else:
-        return False
-
-if not compare_versions(six.__version__, '1.3'):
-    raise ImportError(
-        'six 1.3 or later is required; you have %s' % (
-            six.__version__))
-
-try:
-    import pyparsing
-except ImportError:
-    raise ImportError("matplotlib requires pyparsing")
-else:
-    if not compare_versions(pyparsing.__version__, '1.5.6'):
-        raise ImportError(
-            "matplotlib requires pyparsing >= 1.5.6")
-
-    # pyparsing 2.0.0 bug, but it may be patched in distributions
-    try:
-        f = pyparsing.Forward()
-        f <<= pyparsing.Literal('a')
-        bad_pyparsing = f is None
-    except TypeError:
-        bad_pyparsing = True
-
-    # pyparsing 1.5.6 does not have <<= on the Forward class, but
-    # pyparsing 2.0.0 and later will spew deprecation warnings if
-    # using << instead.  Additionally, the <<= in pyparsing 1.5.7 is
-    # broken, since it doesn't return self.  In order to support
-    # pyparsing 1.5.6 and above with a common code base, this small
-    # monkey patch is applied.
-    if bad_pyparsing:
-        def _forward_ilshift(self, other):
-            self.__lshift__(other)
-            return self
-        pyparsing.Forward.__ilshift__ = _forward_ilshift
-
-try:
-    from urllib.request import urlopen
-except ImportError:
-    from urllib2 import urlopen
-
-import io
+__all__ = [
+    "__bibtex__",
+    "__version__",
+    "__version_info__",
+    "set_loglevel",
+    "ExecutableNotFoundError",
+    "get_configdir",
+    "get_cachedir",
+    "get_data_path",
+    "matplotlib_fname",
+    "MatplotlibDeprecationWarning",
+    "RcParams",
+    "rc_params",
+    "rc_params_from_file",
+    "rcParamsDefault",
+    "rcParams",
+    "rcParamsOrig",
+    "defaultParams",
+    "rc",
+    "rcdefaults",
+    "rc_file_defaults",
+    "rc_file",
+    "rc_context",
+    "use",
+    "get_backend",
+    "interactive",
+    "is_interactive",
+    "colormaps",
+    "multivar_colormaps",
+    "bivar_colormaps",
+    "color_sequences",
+]
+
+
+import atexit
+from collections import namedtuple
+from collections.abc import MutableMapping
+import contextlib
+import functools
+import importlib
+import inspect
+from inspect import Parameter
 import locale
+import logging
 import os
+from pathlib import Path
+import pprint
 import re
+import shutil
+import subprocess
+import sys
 import tempfile
-import warnings
-import contextlib
-import distutils.sysconfig
+
+from packaging.version import parse as parse_version
 
 # cbook must import matplotlib only within function
 # definitions, so it is safe to import from it here.
-from matplotlib.cbook import is_string_like
-from matplotlib.compat import subprocess
-
-try:
-    reload
-except NameError:
-    # Python 3
-    from imp import reload
-
-
-if not hasattr(sys, 'argv'):  # for modpython
-    sys.argv = [str('modpython')]
-
-
-from matplotlib.rcsetup import (defaultParams,
-                                validate_backend)
-
-major, minor1, minor2, s, tmp = sys.version_info
-_python24 = (major == 2 and minor1 >= 4) or major >= 3
-
-# the havedate check was a legacy from old matplotlib which preceeded
-# datetime support
-_havedate = True
-
-if not _python24:
-    raise ImportError('matplotlib requires Python 2.4 or later')
-
-
-import numpy
-if not compare_versions(numpy.__version__, __version__numpy__):
-    raise ImportError(
-        'numpy %s or later is required; you have %s' % (
-            __version__numpy__, numpy.__version__))
-
-
-def _is_writable_dir(p):
-    """
-    p is a string pointing to a putative writable dir -- return True p
-    is such a string, else False
+from . import _api, _version, cbook, _docstring, rcsetup
+from matplotlib._api import MatplotlibDeprecationWarning
+from matplotlib.colors import _color_sequences as color_sequences
+from matplotlib.rcsetup import cycler  # noqa: F401
+
+
+_log = logging.getLogger(__name__)
+
+__bibtex__ = r"""@Article{Hunter:2007,
+  Author    = {Hunter, J. D.},
+  Title     = {Matplotlib: A 2D graphics environment},
+  Journal   = {Computing in Science \& Engineering},
+  Volume    = {9},
+  Number    = {3},
+  Pages     = {90--95},
+  abstract  = {Matplotlib is a 2D graphics package used for Python
+  for application development, interactive scripting, and
+  publication-quality image generation across user
+  interfaces and operating systems.},
+  publisher = {IEEE COMPUTER SOC},
+  year      = 2007
+}"""
+
+# modelled after sys.version_info
+_VersionInfo = namedtuple('_VersionInfo',
+                          'major, minor, micro, releaselevel, serial')
+
+
+def _parse_to_version_info(version_str):
     """
-    try:
-        p + ''  # test is string like
-    except TypeError:
-        return False
-
-    # Test whether the operating system thinks it's a writable directory.
-    # Note that this check is necessary on Google App Engine, because the
-    # subsequent check will succeed even though p may not be writable.
-    if not os.access(p, os.W_OK) or not os.path.isdir(p):
-        return False
-
-    # Also test that it is actually possible to write to a file here.
-    try:
-        t = tempfile.TemporaryFile(dir=p)
-        try:
-            t.write(b'1')
-        finally:
-            t.close()
-    except OSError:
-        return False
-
-    return True
+    Parse a version string to a namedtuple analogous to sys.version_info.
 
-
-class Verbose(object):
-    """
-    A class to handle reporting.  Set the fileo attribute to any file
-    instance to handle the output.  Default is sys.stdout
+    See:
+    https://packaging.pypa.io/en/latest/version.html#packaging.version.parse
+    https://docs.python.org/3/library/sys.html#sys.version_info
     """
-    levels = ('silent', 'helpful', 'debug', 'debug-annoying')
-    vald = dict([(level, i) for i, level in enumerate(levels)])
-
-    # parse the verbosity from the command line; flags look like
-    # --verbose-silent or --verbose-helpful
-    _commandLineVerbose = None
-
-    for arg in sys.argv[1:]:
-        # cast to str because we are using unicode_literals,
-        # and argv is always str
-        if not arg.startswith(str('--verbose-')):
-            continue
-        level_str = arg[10:]
-        # If it doesn't match one of ours, then don't even
-        # bother noting it, we are just a 3rd-party library
-        # to somebody else's script.
-        if level_str in levels:
-            _commandLineVerbose = level_str
-
-    def __init__(self):
-        self.set_level('silent')
-        self.fileo = sys.stdout
-
-    def set_level(self, level):
-        'set the verbosity to one of the Verbose.levels strings'
-
-        if self._commandLineVerbose is not None:
-            level = self._commandLineVerbose
-        if level not in self.levels:
-            warnings.warn('matplotlib: unrecognized --verbose-* string "%s".'
-                          ' Legal values are %s' % (level, self.levels))
-        else:
-            self.level = level
-
-    def set_fileo(self, fname):
-        std = {
-            'sys.stdout': sys.stdout,
-            'sys.stderr': sys.stderr,
-        }
-        if fname in std:
-            self.fileo = std[fname]
-        else:
-            try:
-                fileo = open(fname, 'w')
-            except IOError:
-                raise ValueError('Verbose object could not open log file "{}"'
-                                 ' for writing.\nCheck your matplotlibrc '
-                                 'verbose.fileo setting'.format(fname))
-            else:
-                self.fileo = fileo
-
-    def report(self, s, level='helpful'):
-        """
-        print message s to self.fileo if self.level>=level.  Return
-        value indicates whether a message was issued
-
-        """
-        if self.ge(level):
-            print(s, file=self.fileo)
-            return True
-        return False
-
-    def wrap(self, fmt, func, level='helpful', always=True):
-        """
-        return a callable function that wraps func and reports it
-        output through the verbose handler if current verbosity level
-        is higher than level
-
-        if always is True, the report will occur on every function
-        call; otherwise only on the first time the function is called
-        """
-        assert six.callable(func)
-
-        def wrapper(*args, **kwargs):
-            ret = func(*args, **kwargs)
-
-            if (always or not wrapper._spoke):
-                spoke = self.report(fmt % ret, level)
-                if not wrapper._spoke:
-                    wrapper._spoke = spoke
-            return ret
-        wrapper._spoke = False
-        wrapper.__doc__ = func.__doc__
-        return wrapper
-
-    def ge(self, level):
-        'return true if self.level is >= level'
-        return self.vald[self.level] >= self.vald[level]
-
-
-verbose = Verbose()
-
-
-def checkdep_dvipng():
-    try:
-        s = subprocess.Popen(['dvipng', '-version'], stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-        stdout, stderr = s.communicate()
-        line = stdout.decode('ascii').split('\n')[1]
-        v = line.split()[-1]
-        return v
-    except (IndexError, ValueError, OSError):
-        return None
-
-
-def checkdep_ghostscript():
-    if sys.platform == 'win32':
-        gs_execs = ['gswin32c', 'gswin64c', 'gs']
+    v = parse_version(version_str)
+    if v.pre is None and v.post is None and v.dev is None:
+        return _VersionInfo(v.major, v.minor, v.micro, 'final', 0)
+    elif v.dev is not None:
+        return _VersionInfo(v.major, v.minor, v.micro, 'alpha', v.dev)
+    elif v.pre is not None:
+        releaselevel = {
+            'a': 'alpha',
+            'b': 'beta',
+            'rc': 'candidate'}.get(v.pre[0], 'alpha')
+        return _VersionInfo(v.major, v.minor, v.micro, releaselevel, v.pre[1])
     else:
-        gs_execs = ['gs']
-    for gs_exec in gs_execs:
+        # fallback for v.post: guess-next-dev scheme from setuptools_scm
+        return _VersionInfo(v.major, v.minor, v.micro + 1, 'alpha', v.post)
+
+
+def _get_version():
+    """Return the version string used for __version__."""
+    # Only shell out to a git subprocess if really needed, i.e. when we are in
+    # a matplotlib git repo but not in a shallow clone, such as those used by
+    # CI, as the latter would trigger a warning from setuptools_scm.
+    root = Path(__file__).resolve().parents[2]
+    if ((root / ".matplotlib-repo").exists()
+            and (root / ".git").exists()
+            and not (root / ".git/shallow").exists()):
         try:
-            s = subprocess.Popen(
-                [gs_exec, '--version'], stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE)
-            stdout, stderr = s.communicate()
-            if s.returncode == 0:
-                v = stdout[:-1].decode('ascii')
-                return gs_exec, v
-        except (IndexError, ValueError, OSError):
+            import setuptools_scm
+        except ImportError:
             pass
-    return None, None
-
-
-def checkdep_tex():
-    try:
-        s = subprocess.Popen(['tex', '-version'], stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-        stdout, stderr = s.communicate()
-        line = stdout.decode('ascii').split('\n')[0]
-        pattern = '3\.1\d+'
-        match = re.search(pattern, line)
-        v = match.group(0)
-        return v
-    except (IndexError, ValueError, AttributeError, OSError):
-        return None
+        else:
+            return setuptools_scm.get_version(
+                root=root,
+                dist_name="matplotlib",
+                version_scheme="release-branch-semver",
+                local_scheme="node-and-date",
+                fallback_version=_version.version,
+            )
+    # Get the version from the _version.py file if not in repo or setuptools_scm is
+    # unavailable.
+    return _version.version
+
+
+@_api.caching_module_getattr
+class __getattr__:
+    __version__ = property(lambda self: _get_version())
+    __version_info__ = property(
+        lambda self: _parse_to_version_info(self.__version__))
+
+
+def _check_versions():
+
+    # Quickfix to ensure Microsoft Visual C++ redistributable
+    # DLLs are loaded before importing kiwisolver
+    from . import ft2font  # noqa: F401
+
+    for modname, minver in [
+            ("cycler", "0.10"),
+            ("dateutil", "2.7"),
+            ("kiwisolver", "1.3.1"),
+            ("numpy", "1.25"),
+            ("pyparsing", "2.3.1"),
+    ]:
+        module = importlib.import_module(modname)
+        if parse_version(module.__version__) < parse_version(minver):
+            raise ImportError(f"Matplotlib requires {modname}>={minver}; "
+                              f"you have {module.__version__}")
+
+
+_check_versions()
+
+
+# The decorator ensures this always returns the same handler (and it is only
+# attached once).
+@functools.cache
+def _ensure_handler():
+    """
+    The first time this function is called, attach a `StreamHandler` using the
+    same format as `logging.basicConfig` to the Matplotlib root logger.
 
+    Return this handler every time this function is called.
+    """
+    handler = logging.StreamHandler()
+    handler.setFormatter(logging.Formatter(logging.BASIC_FORMAT))
+    _log.addHandler(handler)
+    return handler
 
-def checkdep_pdftops():
-    try:
-        s = subprocess.Popen(['pdftops', '-v'], stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-        stdout, stderr = s.communicate()
-        lines = stderr.decode('ascii').split('\n')
-        for line in lines:
-            if 'version' in line:
-                v = line.split()[-1]
-        return v
-    except (IndexError, ValueError, UnboundLocalError, OSError):
-        return None
 
+def set_loglevel(level):
+    """
+    Configure Matplotlib's logging levels.
 
-def checkdep_inkscape():
-    try:
-        s = subprocess.Popen(['inkscape', '-V'], stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-        stdout, stderr = s.communicate()
-        lines = stdout.decode('ascii').split('\n')
-        for line in lines:
-            if 'Inkscape' in line:
-                v = line.split()[1]
-                break
-        return v
-    except (IndexError, ValueError, UnboundLocalError, OSError):
-        return None
+    Matplotlib uses the standard library `logging` framework under the root
+    logger 'matplotlib'.  This is a helper function to:
 
+    - set Matplotlib's root logger level
+    - set the root logger handler's level, creating the handler
+      if it does not exist yet
 
-def checkdep_xmllint():
-    try:
-        s = subprocess.Popen(['xmllint', '--version'], stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-        stdout, stderr = s.communicate()
-        lines = stderr.decode('ascii').split('\n')
-        for line in lines:
-            if 'version' in line:
-                v = line.split()[-1]
-                break
-        return v
-    except (IndexError, ValueError, UnboundLocalError, OSError):
-        return None
+    Typically, one should call ``set_loglevel("info")`` or
+    ``set_loglevel("debug")`` to get additional debugging information.
 
+    Users or applications that are installing their own logging handlers
+    may want to directly manipulate ``logging.getLogger('matplotlib')`` rather
+    than use this function.
 
-def checkdep_ps_distiller(s):
-    if not s:
-        return False
+    Parameters
+    ----------
+    level : {"notset", "debug", "info", "warning", "error", "critical"}
+        The log level of the handler.
 
-    flag = True
-    gs_req = '7.07'
-    gs_sugg = '7.07'
-    gs_exec, gs_v = checkdep_ghostscript()
-    if compare_versions(gs_v, gs_sugg):
-        pass
-    elif compare_versions(gs_v, gs_req):
-        verbose.report(('ghostscript-%s found. ghostscript-%s or later '
-                        'is recommended to use the ps.usedistiller option.')
-                       % (gs_v, gs_sugg))
-    else:
-        flag = False
-        warnings.warn(('matplotlibrc ps.usedistiller option can not be used '
-                       'unless ghostscript-%s or later is installed on your '
-                       'system') % gs_req)
-
-    if s == 'xpdf':
-        pdftops_req = '3.0'
-        pdftops_req_alt = '0.9'  # poppler version numbers, ugh
-        pdftops_v = checkdep_pdftops()
-        if compare_versions(pdftops_v, pdftops_req):
-            pass
-        elif (compare_versions(pdftops_v, pdftops_req_alt) and not
-              compare_versions(pdftops_v, '1.0')):
-            pass
-        else:
-            flag = False
-            warnings.warn(('matplotlibrc ps.usedistiller can not be set to '
-                           'xpdf unless xpdf-%s or later is installed on '
-                           'your system') % pdftops_req)
+    Notes
+    -----
+    The first time this function is called, an additional handler is attached
+    to Matplotlib's root handler; this handler is reused every time and this
+    function simply manipulates the logger and handler's level.
 
-    if flag:
-        return s
-    else:
-        return False
+    """
+    _log.setLevel(level.upper())
+    _ensure_handler().setLevel(level.upper())
 
 
-def checkdep_usetex(s):
-    if not s:
-        return False
+def _logged_cached(fmt, func=None):
+    """
+    Decorator that logs a function's return value, and memoizes that value.
 
-    tex_req = '3.1415'
-    gs_req = '7.07'
-    gs_sugg = '7.07'
-    dvipng_req = '1.5'
-    flag = True
+    After ::
 
-    tex_v = checkdep_tex()
-    if compare_versions(tex_v, tex_req):
-        pass
-    else:
-        flag = False
-        warnings.warn(('matplotlibrc text.usetex option can not be used '
-                       'unless TeX-%s or later is '
-                       'installed on your system') % tex_req)
+        @_logged_cached(fmt)
+        def func(): ...
 
-    dvipng_v = checkdep_dvipng()
-    if compare_versions(dvipng_v, dvipng_req):
-        pass
-    else:
-        flag = False
-        warnings.warn('matplotlibrc text.usetex can not be used with *Agg '
-                      'backend unless dvipng-1.5 or later is '
-                      'installed on your system')
+    the first call to *func* will log its return value at the DEBUG level using
+    %-format string *fmt*, and memoize it; later calls to *func* will directly
+    return that value.
+    """
+    if func is None:  # Return the actual decorator.
+        return functools.partial(_logged_cached, fmt)
+
+    called = False
+    ret = None
+
+    @functools.wraps(func)
+    def wrapper(**kwargs):
+        nonlocal called, ret
+        if not called:
+            ret = func(**kwargs)
+            called = True
+            _log.debug(fmt, ret)
+        return ret
 
-    gs_exec, gs_v = checkdep_ghostscript()
-    if compare_versions(gs_v, gs_sugg):
-        pass
-    elif compare_versions(gs_v, gs_req):
-        verbose.report(('ghostscript-%s found. ghostscript-%s or later is '
-                        'recommended for use with the text.usetex '
-                        'option.') % (gs_v, gs_sugg))
-    else:
-        flag = False
-        warnings.warn(('matplotlibrc text.usetex can not be used '
-                       'unless ghostscript-%s or later is '
-                       'installed on your system') % gs_req)
+    return wrapper
 
-    return flag
 
+_ExecInfo = namedtuple("_ExecInfo", "executable raw_version version")
 
-def _get_home():
-    """Find user's home directory if possible.
-    Otherwise, returns None.
 
-    :see:
-        http://mail.python.org/pipermail/python-list/2005-February/325395.html
+class ExecutableNotFoundError(FileNotFoundError):
     """
-    try:
-        if six.PY2 and sys.platform == 'win32':
-            path = os.path.expanduser(b"~").decode(sys.getfilesystemencoding())
-        else:
-            path = os.path.expanduser("~")
-    except ImportError:
-        # This happens on Google App Engine (pwd module is not present).
-        pass
-    else:
-        if os.path.isdir(path):
-            return path
-    for evar in ('HOME', 'USERPROFILE', 'TMP'):
-        path = os.environ.get(evar)
-        if path is not None and os.path.isdir(path):
-            return path
-    return None
-
-
-def _create_tmp_config_dir():
+    Error raised when an executable that Matplotlib optionally
+    depends on can't be found.
     """
-    If the config directory can not be created, create a temporary
-    directory.
+    pass
 
-    Returns None if a writable temporary directory could not be created.
-    """
-    import getpass
-    import tempfile
 
-    try:
-        tempdir = tempfile.gettempdir()
-    except NotImplementedError:
-        # Some restricted platforms (such as Google App Engine) do not provide
-        # gettempdir.
-        return None
-    tempdir = os.path.join(tempdir, 'matplotlib-%s' % getpass.getuser())
-    os.environ['MPLCONFIGDIR'] = tempdir
+@functools.cache
+def _get_executable_info(name):
+    """
+    Get the version of some executable that Matplotlib optionally depends on.
 
-    return tempdir
+    .. warning::
+       The list of executables that this function supports is set according to
+       Matplotlib's internal needs, and may change without notice.
 
+    Parameters
+    ----------
+    name : str
+        The executable to query.  The following values are currently supported:
+        "dvipng", "gs", "inkscape", "magick", "pdftocairo", "pdftops".  This
+        list is subject to change without notice.
+
+    Returns
+    -------
+    tuple
+        A namedtuple with fields ``executable`` (`str`) and ``version``
+        (`packaging.Version`, or ``None`` if the version cannot be determined).
+
+    Raises
+    ------
+    ExecutableNotFoundError
+        If the executable is not found or older than the oldest version
+        supported by Matplotlib.  For debugging purposes, it is also
+        possible to "hide" an executable from Matplotlib by adding it to the
+        :envvar:`_MPLHIDEEXECUTABLES` environment variable (a comma-separated
+        list), which must be set prior to any calls to this function.
+    ValueError
+        If the executable is not one that we know how to query.
+    """
 
-get_home = verbose.wrap('$HOME=%s', _get_home, always=False)
+    def impl(args, regex, min_ver=None, ignore_exit_code=False):
+        # Execute the subprocess specified by args; capture stdout and stderr.
+        # Search for a regex match in the output; if the match succeeds, the
+        # first group of the match is the version.
+        # Return an _ExecInfo if the executable exists, and has a version of
+        # at least min_ver (if set); else, raise ExecutableNotFoundError.
+        try:
+            output = subprocess.check_output(
+                args, stderr=subprocess.STDOUT,
+                text=True, errors="replace")
+        except subprocess.CalledProcessError as _cpe:
+            if ignore_exit_code:
+                output = _cpe.output
+            else:
+                raise ExecutableNotFoundError(str(_cpe)) from _cpe
+        except OSError as _ose:
+            raise ExecutableNotFoundError(str(_ose)) from _ose
+        match = re.search(regex, output)
+        if match:
+            raw_version = match.group(1)
+            version = parse_version(raw_version)
+            if min_ver is not None and version < parse_version(min_ver):
+                raise ExecutableNotFoundError(
+                    f"You have {args[0]} version {version} but the minimum "
+                    f"version supported by Matplotlib is {min_ver}")
+            return _ExecInfo(args[0], raw_version, version)
+        else:
+            raise ExecutableNotFoundError(
+                f"Failed to determine the version of {args[0]} from "
+                f"{' '.join(args)}, which output {output}")
+
+    if name in os.environ.get("_MPLHIDEEXECUTABLES", "").split(","):
+        raise ExecutableNotFoundError(f"{name} was hidden")
+
+    if name == "dvipng":
+        return impl(["dvipng", "-version"], "(?m)^dvipng(?: .*)? (.+)", "1.6")
+    elif name == "gs":
+        execs = (["gswin32c", "gswin64c", "mgs", "gs"]  # "mgs" for miktex.
+                 if sys.platform == "win32" else
+                 ["gs"])
+        for e in execs:
+            try:
+                return impl([e, "--version"], "(.*)", "9")
+            except ExecutableNotFoundError:
+                pass
+        message = "Failed to find a Ghostscript installation"
+        raise ExecutableNotFoundError(message)
+    elif name == "inkscape":
+        try:
+            # Try headless option first (needed for Inkscape version < 1.0):
+            return impl(["inkscape", "--without-gui", "-V"],
+                        "Inkscape ([^ ]*)")
+        except ExecutableNotFoundError:
+            pass  # Suppress exception chaining.
+        # If --without-gui is not accepted, we may be using Inkscape >= 1.0 so
+        # try without it:
+        return impl(["inkscape", "-V"], "Inkscape ([^ ]*)")
+    elif name == "magick":
+        if sys.platform == "win32":
+            # Check the registry to avoid confusing ImageMagick's convert with
+            # Windows's builtin convert.exe.
+            import winreg
+            binpath = ""
+            for flag in [0, winreg.KEY_WOW64_32KEY, winreg.KEY_WOW64_64KEY]:
+                try:
+                    with winreg.OpenKeyEx(
+                            winreg.HKEY_LOCAL_MACHINE,
+                            r"Software\Imagemagick\Current",
+                            0, winreg.KEY_QUERY_VALUE | flag) as hkey:
+                        binpath = winreg.QueryValueEx(hkey, "BinPath")[0]
+                except OSError:
+                    pass
+            path = None
+            if binpath:
+                for name in ["convert.exe", "magick.exe"]:
+                    candidate = Path(binpath, name)
+                    if candidate.exists():
+                        path = str(candidate)
+                        break
+            if path is None:
+                raise ExecutableNotFoundError(
+                    "Failed to find an ImageMagick installation")
+        else:
+            path = "convert"
+        # Ignore deprecation warning for "convert" on IM>=7.1.1-33.
+        info = impl([path, "--version"], r"(?sm:.*^)Version: ImageMagick (\S*)")
+        if info.raw_version == "7.0.10-34":
+            # https://github.com/ImageMagick/ImageMagick/issues/2720
+            raise ExecutableNotFoundError(
+                f"You have ImageMagick {info.version}, which is unsupported")
+        return info
+    elif name == "pdftocairo":
+        return impl(["pdftocairo", "-v"], "pdftocairo version (.*)")
+    elif name == "pdftops":
+        info = impl(["pdftops", "-v"], "^pdftops version (.*)",
+                    ignore_exit_code=True)
+        if info and not (
+                3 <= info.version.major or
+                # poppler version numbers.
+                parse_version("0.9") <= info.version < parse_version("1.0")):
+            raise ExecutableNotFoundError(
+                f"You have pdftops version {info.version} but the minimum "
+                f"version supported by Matplotlib is 3.0")
+        return info
+    else:
+        raise ValueError(f"Unknown executable: {name!r}")
 
 
 def _get_xdg_config_dir():
     """
-    Returns the XDG configuration directory, according to the `XDG
-    base directory spec
-    <http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html>`_.
+    Return the XDG configuration directory, according to the XDG base
+    directory spec:
+
+    https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
     """
-    path = os.environ.get('XDG_CONFIG_HOME')
-    if path is None:
-        path = get_home()
-        if path is not None:
-            path = os.path.join(path, '.config')
-    return path
+    return os.environ.get('XDG_CONFIG_HOME') or str(Path.home() / ".config")
 
 
 def _get_xdg_cache_dir():
     """
-    Returns the XDG cache directory, according to the `XDG
-    base directory spec
-    <http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html>`_.
-    """
-    path = os.environ.get('XDG_CACHE_HOME')
-    if path is None:
-        path = get_home()
-        if path is not None:
-            path = os.path.join(path, '.cache')
-    return path
+    Return the XDG cache directory, according to the XDG base directory spec:
 
+    https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
+    """
+    return os.environ.get('XDG_CACHE_HOME') or str(Path.home() / ".cache")
 
-def _get_config_or_cache_dir(xdg_base):
-    from matplotlib.cbook import mkdirs
 
+def _get_config_or_cache_dir(xdg_base_getter):
     configdir = os.environ.get('MPLCONFIGDIR')
-    if configdir is not None:
-        if not os.path.exists(configdir):
-            from matplotlib.cbook import mkdirs
-            mkdirs(configdir)
-
-        if not _is_writable_dir(configdir):
-            return _create_tmp_config_dir()
-        return configdir
-
-    p = None
-    h = get_home()
-    if h is not None:
-        p = os.path.join(h, '.matplotlib')
-    if (sys.platform.startswith('linux') and xdg_base):
-        p = os.path.join(xdg_base, 'matplotlib')
-
-    if p is not None:
-        if os.path.exists(p):
-            if _is_writable_dir(p):
-                return p
-        else:
-            try:
-                mkdirs(p)
-            except OSError:
-                pass
-            else:
-                return p
-
-    return _create_tmp_config_dir()
-
-
-def _get_configdir():
+    if configdir:
+        configdir = Path(configdir)
+    elif sys.platform.startswith(('linux', 'freebsd')):
+        # Only call _xdg_base_getter here so that MPLCONFIGDIR is tried first,
+        # as _xdg_base_getter can throw.
+        configdir = Path(xdg_base_getter(), "matplotlib")
+    else:
+        configdir = Path.home() / ".matplotlib"
+    # Resolve the path to handle potential issues with inaccessible symlinks.
+    configdir = configdir.resolve()
+    try:
+        configdir.mkdir(parents=True, exist_ok=True)
+    except OSError as exc:
+        _log.warning("mkdir -p failed for path %s: %s", configdir, exc)
+    else:
+        if os.access(str(configdir), os.W_OK) and configdir.is_dir():
+            return str(configdir)
+        _log.warning("%s is not a writable directory", configdir)
+    # If the config or cache directory cannot be created or is not a writable
+    # directory, create a temporary one.
+    try:
+        tmpdir = tempfile.mkdtemp(prefix="matplotlib-")
+    except OSError as exc:
+        raise OSError(
+            f"Matplotlib requires access to a writable cache directory, but there "
+            f"was an issue with the default path ({configdir}), and a temporary "
+            f"directory could not be created; set the MPLCONFIGDIR environment "
+            f"variable to a writable directory") from exc
+    os.environ["MPLCONFIGDIR"] = tmpdir
+    atexit.register(shutil.rmtree, tmpdir)
+    _log.warning(
+        "Matplotlib created a temporary cache directory at %s because there was "
+        "an issue with the default path (%s); it is highly recommended to set the "
+        "MPLCONFIGDIR environment variable to a writable directory, in particular to "
+        "speed up the import of Matplotlib and to better support multiprocessing.",
+        tmpdir, configdir)
+    return tmpdir
+
+
+@_logged_cached('CONFIGDIR=%s')
+def get_configdir():
     """
-    Return the string representing the configuration directory.
+    Return the string path of the configuration directory.
 
     The directory is chosen as follows:
 
     1. If the MPLCONFIGDIR environment variable is supplied, choose that.
-
-    2a. On Linux, if `$HOME/.matplotlib` exists, choose that, but warn that
-        that is the old location.  Barring that, follow the XDG specification
-        and look first in `$XDG_CONFIG_HOME`, if defined, or `$HOME/.config`.
-
-    2b. On other platforms, choose `$HOME/.matplotlib`.
-
+    2. On Linux, follow the XDG specification and look first in
+       ``$XDG_CONFIG_HOME``, if defined, or ``$HOME/.config``.  On other
+       platforms, choose ``$HOME/.matplotlib``.
     3. If the chosen directory exists and is writable, use that as the
        configuration directory.
-    4. If possible, create a temporary directory, and use it as the
-       configuration directory.
-    5. A writable directory could not be found or created; return None.
+    4. Else, create a temporary directory, and use it as the configuration
+       directory.
     """
-    return _get_config_or_cache_dir(_get_xdg_config_dir())
-
-get_configdir = verbose.wrap('CONFIGDIR=%s', _get_configdir, always=False)
+    return _get_config_or_cache_dir(_get_xdg_config_dir)
 
 
-def _get_cachedir():
+@_logged_cached('CACHEDIR=%s')
+def get_cachedir():
     """
-    Return the location of the cache directory.
+    Return the string path of the cache directory.
 
     The procedure used to find the directory is the same as for
-    _get_config_dir, except using `$XDG_CACHE_HOME`/`~/.cache` instead.
+    `get_configdir`, except using ``$XDG_CACHE_HOME``/``$HOME/.cache`` instead.
     """
-    return _get_config_or_cache_dir(_get_xdg_cache_dir())
+    return _get_config_or_cache_dir(_get_xdg_cache_dir)
 
-get_cachedir = verbose.wrap('CACHEDIR=%s', _get_cachedir, always=False)
 
+@_logged_cached('matplotlib data path: %s')
+def get_data_path():
+    """Return the path to Matplotlib data."""
+    return str(Path(__file__).with_name("mpl-data"))
 
-def _get_data_path():
-    'get the path to matplotlib data'
 
-    if 'MATPLOTLIBDATA' in os.environ:
-        path = os.environ['MATPLOTLIBDATA']
-        if not os.path.isdir(path):
-            raise RuntimeError('Path in environment MATPLOTLIBDATA not a '
-                               'directory')
-        return path
-
-    path = os.sep.join([os.path.dirname(__file__), 'mpl-data'])
-    if os.path.isdir(path):
-        return path
-
-    # setuptools' namespace_packages may highjack this init file
-    # so need to try something known to be in matplotlib, not basemap
-    import matplotlib.afm
-    path = os.sep.join([os.path.dirname(matplotlib.afm.__file__), 'mpl-data'])
-    if os.path.isdir(path):
-        return path
-
-    # py2exe zips pure python, so still need special check
-    if getattr(sys, 'frozen', None):
-        exe_path = os.path.dirname(sys.executable)
-        path = os.path.join(exe_path, 'mpl-data')
-        if os.path.isdir(path):
-            return path
-
-        # Try again assuming we need to step up one more directory
-        path = os.path.join(os.path.split(exe_path)[0], 'mpl-data')
-        if os.path.isdir(path):
-            return path
-
-        # Try again assuming sys.path[0] is a dir not a exe
-        path = os.path.join(sys.path[0], 'mpl-data')
-        if os.path.isdir(path):
-            return path
-
-    raise RuntimeError('Could not find the matplotlib data files')
+def matplotlib_fname():
+    """
+    Get the location of the config file.
 
+    The file location is determined in the following order
 
-def _get_data_path_cached():
-    if defaultParams['datapath'][0] is None:
-        defaultParams['datapath'][0] = _get_data_path()
-    return defaultParams['datapath'][0]
+    - ``$PWD/matplotlibrc``
+    - ``$MATPLOTLIBRC`` if it is not a directory
+    - ``$MATPLOTLIBRC/matplotlibrc``
+    - ``$MPLCONFIGDIR/matplotlibrc``
+    - On Linux,
+        - ``$XDG_CONFIG_HOME/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
+          is defined)
+        - or ``$HOME/.config/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
+          is not defined)
+    - On other platforms,
+      - ``$HOME/.matplotlib/matplotlibrc`` if ``$HOME`` is defined
+    - Lastly, it looks in ``$MATPLOTLIBDATA/matplotlibrc``, which should always
+      exist.
+    """
 
-get_data_path = verbose.wrap('matplotlib data path %s', _get_data_path_cached,
-                             always=False)
+    def gen_candidates():
+        # rely on down-stream code to make absolute.  This protects us
+        # from having to directly get the current working directory
+        # which can fail if the user has ended up with a cwd that is
+        # non-existent.
+        yield 'matplotlibrc'
+        try:
+            matplotlibrc = os.environ['MATPLOTLIBRC']
+        except KeyError:
+            pass
+        else:
+            yield matplotlibrc
+            yield os.path.join(matplotlibrc, 'matplotlibrc')
+        yield os.path.join(get_configdir(), 'matplotlibrc')
+        yield os.path.join(get_data_path(), 'matplotlibrc')
 
+    for fname in gen_candidates():
+        if os.path.exists(fname) and not os.path.isdir(fname):
+            return fname
 
-def get_example_data(fname):
-    """
-    get_example_data is deprecated -- use matplotlib.cbook.get_sample_data
-                                      instead
-    """
-    raise NotImplementedError('get_example_data is deprecated -- use '
-                              'matplotlib.cbook.get_sample_data instead')
-
-
-def get_py2exe_datafiles():
-    datapath = get_data_path()
-    _, tail = os.path.split(datapath)
-    d = {}
-    for root, _, files in os.walk(datapath):
-        # Need to explicitly remove cocoa_agg files or py2exe complains
-        # NOTE I dont know why, but do as previous version
-        if 'Matplotlib.nib' in files:
-            files.remove('Matplotlib.nib')
-        files = [os.path.join(root, filename) for filename in files]
-        root = root.replace(tail, 'mpl-data')
-        root = root[root.index('mpl-data'):]
-        d[root] = files
-    return list(d.items())
+    raise RuntimeError("Could not find matplotlibrc file; your Matplotlib "
+                       "install is broken")
 
 
-def matplotlib_fname():
+@_docstring.Substitution(
+    "\n".join(map("- {}".format, sorted(rcsetup._validators, key=str.lower)))
+)
+class RcParams(MutableMapping, dict):
     """
-    Get the location of the config file.
-
-    The file location is determined in the following order
-
-    - `$PWD/matplotlibrc`
+    A dict-like key-value store for config parameters, including validation.
 
-    - environment variable `MATPLOTLIBRC`
+    Validating functions are defined and associated with rc parameters in
+    :mod:`matplotlib.rcsetup`.
 
-    - `$MPLCONFIGDIR/matplotlib`
+    The list of rcParams is:
 
-    - On Linux,
+    %s
 
-          - `$HOME/.matplotlib/matplotlibrc`, if it exists
+    See Also
+    --------
+    :ref:`customizing-with-matplotlibrc-files`
+    """
 
-          - or `$XDG_CONFIG_HOME/matplotlib/matplotlibrc` (if
-            $XDG_CONFIG_HOME is defined)
+    validate = rcsetup._validators
 
-          - or `$HOME/.config/matplotlib/matplotlibrc` (if
-            $XDG_CONFIG_HOME is not defined)
+    # validate values on the way in
+    def __init__(self, *args, **kwargs):
+        self.update(*args, **kwargs)
 
-    - On other platforms,
+    def _set(self, key, val):
+        """
+        Directly write data bypassing deprecation and validation logic.
 
-         - `$HOME/.matplotlib/matplotlibrc` if `$HOME` is defined.
+        Notes
+        -----
+        As end user or downstream library you almost always should use
+        ``rcParams[key] = val`` and not ``_set()``.
 
-    - Lastly, it looks in `$MATPLOTLIBDATA/matplotlibrc` for a
-      system-defined copy.
-    """
-    if six.PY2:
-        cwd = os.getcwdu()
-    else:
-        cwd = os.getcwd()
-    fname = os.path.join(cwd, 'matplotlibrc')
-    if os.path.exists(fname):
-        return fname
-
-    if 'MATPLOTLIBRC' in os.environ:
-        path = os.environ['MATPLOTLIBRC']
-        if os.path.exists(path):
-            fname = os.path.join(path, 'matplotlibrc')
-            if os.path.exists(fname):
-                return fname
-
-    configdir = _get_configdir()
-    if configdir is not None:
-        fname = os.path.join(configdir, 'matplotlibrc')
-        if os.path.exists(fname):
-            home = get_home()
-            if (sys.platform.startswith('linux') and
-                home is not None and
-                os.path.exists(os.path.join(
-                    home, '.matplotlib', 'matplotlibrc'))):
-                warnings.warn(
-                    "Found matplotlib configuration in ~/.matplotlib/. "
-                    "To conform with the XDG base directory standard, "
-                    "this configuration location has been deprecated "
-                    "on Linux, and the new location is now %s/matplotlib/. "
-                    "Please move your configuration there to ensure that "
-                    "matplotlib will continue to find it in the future." %
-                    _get_xdg_config_dir())
-                return os.path.join(
-                    home, '.matplotlib', 'matplotlibrc')
-            return fname
+        There are only very few special cases that need direct data access.
+        These cases previously used ``dict.__setitem__(rcParams, key, val)``,
+        which is now deprecated and replaced by ``rcParams._set(key, val)``.
 
-    path = get_data_path()  # guaranteed to exist or raise
-    fname = os.path.join(path, 'matplotlibrc')
-    if not os.path.exists(fname):
-        warnings.warn('Could not find matplotlibrc; using defaults')
+        Even though private, we guarantee API stability for ``rcParams._set``,
+        i.e. it is subject to Matplotlib's API and deprecation policy.
 
-    return fname
+        :meta public:
+        """
+        dict.__setitem__(self, key, val)
 
+    def _get(self, key):
+        """
+        Directly read data bypassing deprecation, backend and validation
+        logic.
 
-_deprecated_map = {
-    'text.fontstyle':   ('font.style', lambda x: x),
-    'text.fontangle':   ('font.style', lambda x: x),
-    'text.fontvariant': ('font.variant', lambda x: x),
-    'text.fontweight':  ('font.weight', lambda x: x),
-    'text.fontsize':    ('font.size', lambda x: x),
-    'tick.size':        ('tick.major.size', lambda x: x),
-    'svg.embed_char_paths': ('svg.fonttype',
-                             lambda x: "path" if x else "none"),
-    'savefig.extension': ('savefig.format', lambda x: x),
-    }
+        Notes
+        -----
+        As end user or downstream library you almost always should use
+        ``val = rcParams[key]`` and not ``_get()``.
 
-_deprecated_ignore_map = {
-    }
+        There are only very few special cases that need direct data access.
+        These cases previously used ``dict.__getitem__(rcParams, key, val)``,
+        which is now deprecated and replaced by ``rcParams._get(key)``.
 
-_obsolete_set = set(['tk.pythoninspect', ])
-_all_deprecated = set(chain(_deprecated_ignore_map,
-                            _deprecated_map, _obsolete_set))
+        Even though private, we guarantee API stability for ``rcParams._get``,
+        i.e. it is subject to Matplotlib's API and deprecation policy.
 
+        :meta public:
+        """
+        return dict.__getitem__(self, key)
 
-class RcParams(dict):
+    def _update_raw(self, other_params):
+        """
+        Directly update the data from *other_params*, bypassing deprecation,
+        backend and validation logic on both sides.
 
-    """
-    A dictionary object including validation
+        This ``rcParams._update_raw(params)`` replaces the previous pattern
+        ``dict.update(rcParams, params)``.
 
-    validating functions are defined and associated with rc parameters in
-    :mod:`matplotlib.rcsetup`
-    """
+        Parameters
+        ----------
+        other_params : dict or `.RcParams`
+            The input mapping from which to update.
+        """
+        if isinstance(other_params, RcParams):
+            other_params = dict.items(other_params)
+        dict.update(self, other_params)
 
-    validate = dict((key, converter) for key, (default, converter) in
-                    six.iteritems(defaultParams)
-                    if key not in _all_deprecated)
-    msg_depr = "%s is deprecated and replaced with %s; please use the latter."
-    msg_depr_ignore = "%s is deprecated and ignored. Use %s"
+    def _ensure_has_backend(self):
+        """
+        Ensure that a "backend" entry exists.
 
-    # validate values on the way in
-    def __init__(self, *args, **kwargs):
-        for k, v in six.iteritems(dict(*args, **kwargs)):
-            self[k] = v
+        Normally, the default matplotlibrc file contains *no* entry for "backend" (the
+        corresponding line starts with ##, not #; we fill in _auto_backend_sentinel
+        in that case.  However, packagers can set a different default backend
+        (resulting in a normal `#backend: foo` line) in which case we should *not*
+        fill in _auto_backend_sentinel.
+        """
+        dict.setdefault(self, "backend", rcsetup._auto_backend_sentinel)
 
     def __setitem__(self, key, val):
+        if (key == "backend"
+                and val is rcsetup._auto_backend_sentinel
+                and "backend" in self):
+            return
         try:
-            if key in _deprecated_map:
-                alt_key, alt_val = _deprecated_map[key]
-                warnings.warn(self.msg_depr % (key, alt_key))
-                key = alt_key
-                val = alt_val(val)
-            elif key in _deprecated_ignore_map:
-                alt = _deprecated_ignore_map[key]
-                warnings.warn(self.msg_depr_ignore % (key, alt))
-                return
-            try:
-                cval = self.validate[key](val)
-            except ValueError as ve:
-                raise ValueError("Key %s: %s" % (key, str(ve)))
-            dict.__setitem__(self, key, cval)
-        except KeyError:
-            raise KeyError('%s is not a valid rc parameter.\
-See rcParams.keys() for a list of valid parameters.' % (key,))
+            cval = self.validate[key](val)
+        except KeyError as err:
+            raise KeyError(
+                f"{key} is not a valid rc parameter (see rcParams.keys() for "
+                f"a list of valid parameters)") from err
+        except ValueError as ve:
+            raise ValueError(f"Key {key}: {ve}") from None
+        self._set(key, cval)
 
     def __getitem__(self, key):
-        if key in _deprecated_map:
-            alt_key, alt_val = _deprecated_map[key]
-            warnings.warn(self.msg_depr % (key, alt_key))
-            key = alt_key
-        elif key in _deprecated_ignore_map:
-            alt = _deprecated_ignore_map[key]
-            warnings.warn(self.msg_depr_ignore % (key, alt))
-            key = alt
-        return dict.__getitem__(self, key)
-
-    # http://stackoverflow.com/questions/2390827/how-to-properly-subclass-dict-and-override-get-set
-    # the default dict `update` does not use __setitem__
-    # so rcParams.update(...) (such as in seaborn) side-steps
-    # all of the validation over-ride update to force
-    # through __setitem__
-    def update(self, *args, **kwargs):
-        for k, v in six.iteritems(dict(*args, **kwargs)):
-            self[k] = v
+        # In theory, this should only ever be used after the global rcParams
+        # has been set up, but better be safe e.g. in presence of breakpoints.
+        if key == "backend" and self is globals().get("rcParams"):
+            val = self._get(key)
+            if val is rcsetup._auto_backend_sentinel:
+                from matplotlib import pyplot as plt
+                plt.switch_backend(rcsetup._auto_backend_sentinel)
+        return self._get(key)
+
+    def _get_backend_or_none(self):
+        """Get the requested backend, if any, without triggering resolution."""
+        backend = self._get("backend")
+        return None if backend is rcsetup._auto_backend_sentinel else backend
 
     def __repr__(self):
-        import pprint
         class_name = self.__class__.__name__
         indent = len(class_name) + 1
-        repr_split = pprint.pformat(dict(self), indent=1,
-                                    width=80 - indent).split('\n')
+        with _api.suppress_matplotlib_deprecation_warning():
+            repr_split = pprint.pformat(dict(self), indent=1,
+                                        width=80 - indent).split('\n')
         repr_indented = ('\n' + ' ' * indent).join(repr_split)
-        return '{0}({1})'.format(class_name, repr_indented)
+        return f'{class_name}({repr_indented})'
 
     def __str__(self):
-        return '\n'.join('{0}: {1}'.format(k, v)
-                         for k, v in sorted(self.items()))
+        return '\n'.join(map('{0[0]}: {0[1]}'.format, sorted(self.items())))
 
-    def keys(self):
-        """
-        Return sorted list of keys.
-        """
-        k = list(dict.keys(self))
-        k.sort()
-        return k
+    def __iter__(self):
+        """Yield sorted list of keys."""
+        # Deprecation warnings are silenced to cover the case where some
+        # rcParams entries are being deprecated.
+        with _api.suppress_matplotlib_deprecation_warning():
+            yield from sorted(dict.__iter__(self))
 
-    def values(self):
-        """
-        Return values in order of sorted keys.
-        """
-        return [self[k] for k in self.keys()]
+    def __len__(self):
+        return dict.__len__(self)
 
     def find_all(self, pattern):
         """
@@ -932,133 +798,133 @@ def find_all(self, pattern):
             the parent RcParams dictionary.
 
         """
-        import re
         pattern_re = re.compile(pattern)
         return RcParams((key, value)
                         for key, value in self.items()
                         if pattern_re.search(key))
 
-
-def rc_params(fail_on_error=False):
-    """Return a :class:`matplotlib.RcParams` instance from the
-    default matplotlib rc file.
-    """
-    fname = matplotlib_fname()
-    if not os.path.exists(fname):
-        # this should never happen, default in mpl-data should always be found
-        message = 'could not find rc file; returning defaults'
-        ret = RcParams([(key, default) for key, (default, _) in
-                        six.iteritems(defaultParams)
-                        if key not in _all_deprecated])
-        warnings.warn(message)
-        return ret
-
-    return rc_params_from_file(fname, fail_on_error)
+    def copy(self):
+        """Copy this RcParams instance."""
+        rccopy = RcParams()
+        for k in self:  # Skip deprecations and revalidation.
+            rccopy._set(k, self._get(k))
+        return rccopy
 
 
-URL_REGEX = re.compile(r'http://|https://|ftp://|file://|file:\\')
-
-
-def is_url(filename):
-    """Return True if string is an http, ftp, or file URL path."""
-    return URL_REGEX.match(filename) is not None
+def rc_params(fail_on_error=False):
+    """Construct a `RcParams` instance from the default Matplotlib rc file."""
+    return rc_params_from_file(matplotlib_fname(), fail_on_error)
 
 
-def _url_lines(f):
-    # Compatibility for urlopen in python 3, which yields bytes.
-    for line in f:
-        yield line.decode('utf8')
+@functools.cache
+def _get_ssl_context():
+    try:
+        import certifi
+    except ImportError:
+        _log.debug("Could not import certifi.")
+        return None
+    import ssl
+    return ssl.create_default_context(cafile=certifi.where())
 
 
 @contextlib.contextmanager
 def _open_file_or_url(fname):
-    if is_url(fname):
-        f = urlopen(fname)
-        yield _url_lines(f)
-        f.close()
+    if (isinstance(fname, str)
+            and fname.startswith(('http://', 'https://', 'ftp://', 'file:'))):
+        import urllib.request
+        ssl_ctx = _get_ssl_context()
+        if ssl_ctx is None:
+            _log.debug(
+                "Could not get certifi ssl context, https may not work."
+            )
+        with urllib.request.urlopen(fname, context=ssl_ctx) as f:
+            yield (line.decode('utf-8') for line in f)
     else:
-        with io.open(fname, encoding=locale.getdefaultlocale()[1]) as f:
+        fname = os.path.expanduser(fname)
+        with open(fname, encoding='utf-8') as f:
             yield f
 
 
-_error_details_fmt = 'line #%d\n\t"%s"\n\tin file "%s"'
-
-
-def _rc_params_in_file(fname, fail_on_error=False):
-    """Return :class:`matplotlib.RcParams` from the contents of the given file.
+def _rc_params_in_file(fname, transform=lambda x: x, fail_on_error=False):
+    """
+    Construct a `RcParams` instance from file *fname*.
 
     Unlike `rc_params_from_file`, the configuration class only contains the
     parameters specified in the file (i.e. default values are not filled in).
+
+    Parameters
+    ----------
+    fname : path-like
+        The loaded file.
+    transform : callable, default: the identity function
+        A function called on each individual line of the file to transform it,
+        before further parsing.
+    fail_on_error : bool, default: False
+        Whether invalid entries should result in an exception or a warning.
     """
-    cnt = 0
+    import matplotlib as mpl
     rc_temp = {}
     with _open_file_or_url(fname) as fd:
-        for line in fd:
-            cnt += 1
-            strippedline = line.split('#', 1)[0].strip()
-            if not strippedline:
-                continue
-            tup = strippedline.split(':', 1)
-            if len(tup) != 2:
-                error_details = _error_details_fmt % (cnt, line, fname)
-                warnings.warn('Illegal %s' % error_details)
-                continue
-            key, val = tup
-            key = key.strip()
-            val = val.strip()
-            if key in rc_temp:
-                warnings.warn('Duplicate key in file "%s", line #%d' %
-                              (fname, cnt))
-            rc_temp[key] = (val, line, cnt)
+        try:
+            for line_no, line in enumerate(fd, 1):
+                line = transform(line)
+                strippedline = cbook._strip_comment(line)
+                if not strippedline:
+                    continue
+                tup = strippedline.split(':', 1)
+                if len(tup) != 2:
+                    _log.warning('Missing colon in file %r, line %d (%r)',
+                                 fname, line_no, line.rstrip('\n'))
+                    continue
+                key, val = tup
+                key = key.strip()
+                val = val.strip()
+                if val.startswith('"') and val.endswith('"'):
+                    val = val[1:-1]  # strip double quotes
+                if key in rc_temp:
+                    _log.warning('Duplicate key in file %r, line %d (%r)',
+                                 fname, line_no, line.rstrip('\n'))
+                rc_temp[key] = (val, line, line_no)
+        except UnicodeDecodeError:
+            _log.warning('Cannot decode configuration file %r as utf-8.',
+                         fname)
+            raise
 
     config = RcParams()
 
-    for key in ('verbose.level', 'verbose.fileo'):
-        if key in rc_temp:
-            val, line, cnt = rc_temp.pop(key)
-            if fail_on_error:
-                config[key] = val  # try to convert to proper type or raise
-            else:
-                try:
-                    config[key] = val  # try to convert to proper type or skip
-                except Exception as msg:
-                    error_details = _error_details_fmt % (cnt, line, fname)
-                    warnings.warn('Bad val "%s" on %s\n\t%s' %
-                                  (val, error_details, msg))
-
-    for key, (val, line, cnt) in six.iteritems(rc_temp):
-        if key in defaultParams:
+    for key, (val, line, line_no) in rc_temp.items():
+        if key in rcsetup._validators:
             if fail_on_error:
                 config[key] = val  # try to convert to proper type or raise
             else:
                 try:
                     config[key] = val  # try to convert to proper type or skip
                 except Exception as msg:
-                    error_details = _error_details_fmt % (cnt, line, fname)
-                    warnings.warn('Bad val "%s" on %s\n\t%s' %
-                                  (val, error_details, msg))
-        elif key in _deprecated_ignore_map:
-            warnings.warn('%s is deprecated. Update your matplotlibrc to use '
-                          '%s instead.' % (key, _deprecated_ignore_map[key]))
-
+                    _log.warning('Bad value in file %r, line %d (%r): %s',
+                                 fname, line_no, line.rstrip('\n'), msg)
         else:
-            print("""
-Bad key "%s" on line %d in
-%s.
+            # __version__ must be looked up as an attribute to trigger the
+            # module-level __getattr__.
+            version = ('main' if '.post' in mpl.__version__
+                       else f'v{mpl.__version__}')
+            _log.warning("""
+Bad key %(key)s in file %(fname)s, line %(line_no)s (%(line)r)
 You probably need to get an updated matplotlibrc file from
-http://matplotlib.sf.net/_static/matplotlibrc or from the matplotlib source
-distribution""" % (key, cnt, fname), file=sys.stderr)
-
+https://github.com/matplotlib/matplotlib/blob/%(version)s/lib/matplotlib/mpl-data/matplotlibrc
+or from the matplotlib source distribution""",
+                         dict(key=key, fname=fname, line_no=line_no,
+                              line=line.rstrip('\n'), version=version))
     return config
 
 
 def rc_params_from_file(fname, fail_on_error=False, use_default_template=True):
-    """Return :class:`matplotlib.RcParams` from the contents of the given file.
+    """
+    Construct a `RcParams` from file *fname*.
 
     Parameters
     ----------
-    fname : str
-        Name of file parsed for matplotlib settings.
+    fname : str or path-like
+        A file with Matplotlib rc settings.
     fail_on_error : bool
         If True, raise an error when the parser fails to convert a parameter.
     use_default_template : bool
@@ -1066,72 +932,55 @@ def rc_params_from_file(fname, fail_on_error=False, use_default_template=True):
         in the given file. If False, the configuration class only contains the
         parameters specified in the file. (Useful for updating dicts.)
     """
-    config_from_file = _rc_params_in_file(fname, fail_on_error)
+    config_from_file = _rc_params_in_file(fname, fail_on_error=fail_on_error)
 
     if not use_default_template:
         return config_from_file
 
-    iter_params = six.iteritems(defaultParams)
-    config = RcParams([(key, default) for key, (default, _) in iter_params
-                                      if key not in _all_deprecated])
-    config.update(config_from_file)
-
-    verbose.set_level(config['verbose.level'])
-    verbose.set_fileo(config['verbose.fileo'])
+    with _api.suppress_matplotlib_deprecation_warning():
+        config = RcParams({**rcParamsDefault, **config_from_file})
 
-    if config['datapath'] is None:
-        config['datapath'] = get_data_path()
-
-    if not config['text.latex.preamble'] == ['']:
-        verbose.report("""
+    if "".join(config['text.latex.preamble']):
+        _log.info("""
 *****************************************************************
 You have the following UNSUPPORTED LaTeX preamble customizations:
 %s
 Please do not ask for support with these customizations active.
 *****************************************************************
-""" % '\n'.join(config['text.latex.preamble']), 'helpful')
-
-    verbose.report('loaded rc file %s' % fname)
+""", '\n'.join(config['text.latex.preamble']))
+    _log.debug('loaded rc file %s', fname)
 
     return config
 
 
-# this is the instance used by the matplotlib classes
-rcParams = rc_params()
-
-if rcParams['examples.directory']:
-    # paths that are intended to be relative to matplotlib_fname()
-    # are allowed for the examples.directory parameter.
-    # However, we will need to fully qualify the path because
-    # Sphinx requires absolute paths.
-    if not os.path.isabs(rcParams['examples.directory']):
-        _basedir, _fname = os.path.split(matplotlib_fname())
-        # Sometimes matplotlib_fname() can return relative paths,
-        # Also, using realpath() guarentees that Sphinx will use
-        # the same path that matplotlib sees (in case of weird symlinks).
-        _basedir = os.path.realpath(_basedir)
-        _fullpath = os.path.join(_basedir, rcParams['examples.directory'])
-        rcParams['examples.directory'] = _fullpath
+rcParamsDefault = _rc_params_in_file(
+    cbook._get_data_path("matplotlibrc"),
+    # Strip leading comment.
+    transform=lambda line: line[1:] if line.startswith("#") else line,
+    fail_on_error=True)
+rcParamsDefault._update_raw(rcsetup._hardcoded_defaults)
+rcParamsDefault._ensure_has_backend()
 
+rcParams = RcParams()  # The global instance.
+rcParams._update_raw(rcParamsDefault)
+rcParams._update_raw(_rc_params_in_file(matplotlib_fname()))
 rcParamsOrig = rcParams.copy()
-
-rcParamsDefault = RcParams([(key, default) for key, (default, converter) in
-                            six.iteritems(defaultParams)
-                            if key not in _all_deprecated])
-
-rcParams['ps.usedistiller'] = checkdep_ps_distiller(
-                      rcParams['ps.usedistiller'])
-
-rcParams['text.usetex'] = checkdep_usetex(rcParams['text.usetex'])
-
+with _api.suppress_matplotlib_deprecation_warning():
+    # This also checks that all rcParams are indeed listed in the template.
+    # Assigning to rcsetup.defaultParams is left only for backcompat.
+    defaultParams = rcsetup.defaultParams = {
+        # We want to resolve deprecated rcParams, but not backend...
+        key: [(rcsetup._auto_backend_sentinel if key == "backend" else
+               rcParamsDefault[key]),
+              validator]
+        for key, validator in rcsetup._validators.items()}
 if rcParams['axes.formatter.use_locale']:
-    import locale
     locale.setlocale(locale.LC_ALL, '')
 
 
 def rc(group, **kwargs):
     """
-    Set the current rc params.  Group is the grouping for the rc, e.g.,
+    Set the current `.rcParams`.  *group* is the grouping for the rc, e.g.,
     for ``lines.linewidth`` the group is ``lines``, for
     ``axes.facecolor``, the group is ``axes``, and so on.  Group may
     also be a list or tuple of group names, e.g., (*xtick*, *ytick*).
@@ -1139,17 +988,16 @@ def rc(group, **kwargs):
 
       rc('lines', linewidth=2, color='r')
 
-    sets the current rc params and is equivalent to::
+    sets the current `.rcParams` and is equivalent to::
 
       rcParams['lines.linewidth'] = 2
       rcParams['lines.color'] = 'r'
 
-    The following aliases are available to save typing for interactive
-    users:
+    The following aliases are available to save typing for interactive users:
 
-    =====   =================
+    ======  =================
     Alias   Property
-    =====   =================
+    ======  =================
     'lw'    'linewidth'
     'ls'    'linestyle'
     'c'     'color'
@@ -1157,13 +1005,13 @@ def rc(group, **kwargs):
     'ec'    'edgecolor'
     'mew'   'markeredgewidth'
     'aa'    'antialiased'
-    =====   =================
+    'sans'  'sans-serif'
+    ======  =================
 
-    Thus you could abbreviate the above rc command as::
+    Thus you could abbreviate the above call as::
 
           rc('lines', lw=2, c='r')
 
-
     Note you can use python's kwargs dictionary facility to store
     dictionaries of default parameters.  e.g., you can customize the
     font rc as follows::
@@ -1171,12 +1019,17 @@ def rc(group, **kwargs):
       font = {'family' : 'monospace',
               'weight' : 'bold',
               'size'   : 'larger'}
-
       rc('font', **font)  # pass in the font dict as kwargs
 
-    This enables you to easily switch between several configurations.
-    Use :func:`~matplotlib.pyplot.rcdefaults` to restore the default
-    rc params after changes.
+    This enables you to easily switch between several configurations.  Use
+    ``matplotlib.style.use('default')`` or :func:`~matplotlib.rcdefaults` to
+    restore the default `.rcParams` after changes.
+
+    Notes
+    -----
+    Similar functionality is available by using the normal dict interface, i.e.
+    ``rcParams.update({"lines.linewidth": 2, ...})`` (but ``rcParams.update``
+    does not support abbreviations or grouping).
     """
 
     aliases = {
@@ -1187,297 +1040,497 @@ def rc(group, **kwargs):
         'ec':  'edgecolor',
         'mew': 'markeredgewidth',
         'aa':  'antialiased',
+        'sans': 'sans-serif',
         }
 
-    if is_string_like(group):
+    if isinstance(group, str):
         group = (group,)
     for g in group:
-        for k, v in six.iteritems(kwargs):
+        for k, v in kwargs.items():
             name = aliases.get(k) or k
-            key = '%s.%s' % (g, name)
+            key = f'{g}.{name}'
             try:
                 rcParams[key] = v
-            except KeyError:
+            except KeyError as err:
                 raise KeyError(('Unrecognized key "%s" for group "%s" and '
-                                'name "%s"') % (key, g, name))
+                                'name "%s"') % (key, g, name)) from err
 
 
 def rcdefaults():
     """
-    Restore the default rc params.  These are not the params loaded by
-    the rc file, but mpl's internal params.  See rc_file_defaults for
-    reloading the default params from the rc file
+    Restore the `.rcParams` from Matplotlib's internal default style.
+
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
+
+    See Also
+    --------
+    matplotlib.rc_file_defaults
+        Restore the `.rcParams` from the rc file originally loaded by
+        Matplotlib.
+    matplotlib.style.use
+        Use a specific style file.  Call ``style.use('default')`` to restore
+        the default style.
     """
-    rcParams.clear()
-    rcParams.update(rcParamsDefault)
+    # Deprecation warnings were already handled when creating rcParamsDefault,
+    # no need to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rcParams.clear()
+        rcParams.update({k: v for k, v in rcParamsDefault.items()
+                         if k not in STYLE_BLACKLIST})
 
 
-def rc_file(fname):
+def rc_file_defaults():
     """
-    Update rc params from file.
+    Restore the `.rcParams` from the original rc file loaded by Matplotlib.
+
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
     """
-    rcParams.update(rc_params_from_file(fname))
+    # Deprecation warnings were already handled when creating rcParamsOrig, no
+    # need to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rcParams.update({k: rcParamsOrig[k] for k in rcParamsOrig
+                         if k not in STYLE_BLACKLIST})
 
 
-class rc_context(object):
+def rc_file(fname, *, use_default_template=True):
     """
-    Return a context manager for managing rc settings.
-
-    This allows one to do::
+    Update `.rcParams` from file.
 
-        with mpl.rc_context(fname='screen.rc'):
-            plt.plot(x, a)
-            with mpl.rc_context(fname='print.rc'):
-                plt.plot(x, b)
-            plt.plot(x, c)
+    Style-blacklisted `.rcParams` (defined in
+    ``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
 
-    The 'a' vs 'x' and 'c' vs 'x' plots would have settings from
-    'screen.rc', while the 'b' vs 'x' plot would have settings from
-    'print.rc'.
+    Parameters
+    ----------
+    fname : str or path-like
+        A file with Matplotlib rc settings.
 
-    A dictionary can also be passed to the context manager::
+    use_default_template : bool
+        If True, initialize with default parameters before updating with those
+        in the given file. If False, the current configuration persists
+        and only the parameters specified in the file are updated.
+    """
+    # Deprecation warnings were already handled in rc_params_from_file, no need
+    # to reemit them here.
+    with _api.suppress_matplotlib_deprecation_warning():
+        from .style.core import STYLE_BLACKLIST
+        rc_from_file = rc_params_from_file(
+            fname, use_default_template=use_default_template)
+        rcParams.update({k: rc_from_file[k] for k in rc_from_file
+                         if k not in STYLE_BLACKLIST})
 
-        with mpl.rc_context(rc={'text.usetex': True}, fname='screen.rc'):
-            plt.plot(x, a)
 
-    The 'rc' dictionary takes precedence over the settings loaded from
-    'fname'.  Passing a dictionary only is also valid.
+@contextlib.contextmanager
+def rc_context(rc=None, fname=None):
     """
+    Return a context manager for temporarily changing rcParams.
 
-    def __init__(self, rc=None, fname=None):
-        self.rcdict = rc
-        self.fname = fname
-        self._rcparams = rcParams.copy()
-        try:
-            if self.fname:
-                rc_file(self.fname)
-            if self.rcdict:
-                rcParams.update(self.rcdict)
-        except:
-            # if anything goes wrong, revert rc parameters and re-raise
-            rcParams.clear()
-            rcParams.update(self._rcparams)
-            raise
+    The :rc:`backend` will not be reset by the context manager.
 
-    def __enter__(self):
-        return self
+    rcParams changed both through the context manager invocation and
+    in the body of the context will be reset on context exit.
 
-    def __exit__(self, type, value, tb):
-        rcParams.update(self._rcparams)
+    Parameters
+    ----------
+    rc : dict
+        The rcParams to temporarily set.
+    fname : str or path-like
+        A file with Matplotlib rc settings. If both *fname* and *rc* are given,
+        settings from *rc* take precedence.
 
+    See Also
+    --------
+    :ref:`customizing-with-matplotlibrc-files`
+
+    Examples
+    --------
+    Passing explicit values via a dict::
+
+        with mpl.rc_context({'interactive': False}):
+            fig, ax = plt.subplots()
+            ax.plot(range(3), range(3))
+            fig.savefig('example.png')
+            plt.close(fig)
+
+    Loading settings from a file::
+
+         with mpl.rc_context(fname='print.rc'):
+             plt.plot(x, y)  # uses 'print.rc'
+
+    Setting in the context body::
+
+        with mpl.rc_context():
+            # will be reset
+            mpl.rcParams['lines.linewidth'] = 5
+            plt.plot(x, y)
 
-def rc_file_defaults():
     """
-    Restore the default rc params from the original matplotlib rc that
-    was loaded
+    orig = dict(rcParams.copy())
+    del orig['backend']
+    try:
+        if fname:
+            rc_file(fname)
+        if rc:
+            rcParams.update(rc)
+        yield
+    finally:
+        rcParams._update_raw(orig)  # Revert to the original rcs.
+
+
+def use(backend, *, force=True):
     """
-    rcParams.update(rcParamsOrig)
+    Select the backend used for rendering and GUI integration.
 
-_use_error_msg = """ This call to matplotlib.use() has no effect
-because the backend has already been chosen;
-matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
-or matplotlib.backends is imported for the first time.
-"""
+    If pyplot is already imported, `~matplotlib.pyplot.switch_backend` is used
+    and if the new backend is different than the current backend, all Figures
+    will be closed.
 
+    Parameters
+    ----------
+    backend : str
+        The backend to switch to.  This can either be one of the standard
+        backend names, which are case-insensitive:
 
-def use(arg, warn=True, force=False):
-    """
-    Set the matplotlib backend to one of the known backends.
+        - interactive backends:
+          GTK3Agg, GTK3Cairo, GTK4Agg, GTK4Cairo, MacOSX, nbAgg, notebook, QtAgg,
+          QtCairo, TkAgg, TkCairo, WebAgg, WX, WXAgg, WXCairo, Qt5Agg, Qt5Cairo
 
-    The argument is case-insensitive. *warn* specifies whether a
-    warning should be issued if a backend has already been set up.
-    *force* is an **experimental** flag that tells matplotlib to
-    attempt to initialize a new backend by reloading the backend
-    module.
+        - non-interactive backends:
+          agg, cairo, pdf, pgf, ps, svg, template
 
-    .. note::
+        or a string of the form: ``module://my.module.name``.
+
+        notebook is a synonym for nbAgg.
 
-        This function must be called *before* importing pyplot for
-        the first time; or, if you are not using pyplot, it must be called
-        before importing matplotlib.backends.  If warn is True, a warning
-        is issued if you try and call this after pylab or pyplot have been
-        loaded.  In certain black magic use cases, e.g.
-        :func:`pyplot.switch_backend`, we are doing the reloading necessary to
-        make the backend switch work (in some cases, e.g., pure image
-        backends) so one can set warn=False to suppress the warnings.
+        Switching to an interactive backend is not possible if an unrelated
+        event loop has already been started (e.g., switching to GTK3Agg if a
+        TkAgg window has already been opened).  Switching to a non-interactive
+        backend is always possible.
 
-    To find out which backend is currently set, see
-    :func:`matplotlib.get_backend`.
+    force : bool, default: True
+        If True (the default), raise an `ImportError` if the backend cannot be
+        set up (either because it fails to import, or because an incompatible
+        GUI interactive framework is already running); if False, silently
+        ignore the failure.
+
+    See Also
+    --------
+    :ref:`backends`
+    matplotlib.get_backend
+    matplotlib.pyplot.switch_backend
 
     """
-    # Lets determine the proper backend name first
-    if arg.startswith('module://'):
-        name = arg
-    else:
-        # Lowercase only non-module backend names (modules are case-sensitive)
-        arg = arg.lower()
-        name = validate_backend(arg)
-
-    # Check if we've already set up a backend
-    if 'matplotlib.backends' in sys.modules:
-        # Warn only if called with a different name
-        if (rcParams['backend'] != name) and warn:
-            warnings.warn(_use_error_msg)
-
-        # Unless we've been told to force it, just return
-        if not force:
-            return
-        need_reload = True
+    name = rcsetup.validate_backend(backend)
+    # don't (prematurely) resolve the "auto" backend setting
+    if rcParams._get_backend_or_none() == name:
+        # Nothing to do if the requested backend is already set
+        pass
     else:
-        need_reload = False
+        # if pyplot is not already imported, do not import it.  Doing
+        # so may trigger a `plt.switch_backend` to the _default_ backend
+        # before we get a chance to change to the one the user just requested
+        plt = sys.modules.get('matplotlib.pyplot')
+        # if pyplot is imported, then try to change backends
+        if plt is not None:
+            try:
+                # we need this import check here to re-raise if the
+                # user does not have the libraries to support their
+                # chosen backend installed.
+                plt.switch_backend(name)
+            except ImportError:
+                if force:
+                    raise
+        # if we have not imported pyplot, then we can set the rcParam
+        # value which will be respected when the user finally imports
+        # pyplot
+        else:
+            rcParams['backend'] = backend
+    # if the user has asked for a given backend, do not helpfully
+    # fallback
+    rcParams['backend_fallback'] = False
 
-    # Store the backend name
-    rcParams['backend'] = name
 
-    # If needed we reload here because a lot of setup code is triggered on
-    # module import. See backends/__init__.py for more detail.
-    if need_reload:
-        reload(sys.modules['matplotlib.backends'])
+if os.environ.get('MPLBACKEND'):
+    rcParams['backend'] = os.environ.get('MPLBACKEND')
 
 
-def get_backend():
-    """Return the name of the current backend."""
-    return rcParams['backend']
+def get_backend(*, auto_select=True):
+    """
+    Return the name of the current backend.
 
+    Parameters
+    ----------
+    auto_select : bool, default: True
+        Whether to trigger backend resolution if no backend has been
+        selected so far. If True, this ensures that a valid backend
+        is returned. If False, this returns None if no backend has been
+        selected so far.
 
-def interactive(b):
+        .. versionadded:: 3.10
+
+        .. admonition:: Provisional
+
+           The *auto_select* flag is provisional. It may be changed or removed
+           without prior warning.
+
+    See Also
+    --------
+    matplotlib.use
     """
-    Set interactive mode to boolean b.
+    if auto_select:
+        return rcParams['backend']
+    else:
+        backend = rcParams._get('backend')
+        if backend is rcsetup._auto_backend_sentinel:
+            return None
+        else:
+            return backend
 
-    If b is True, then draw after every plotting command, e.g., after xlabel
+
+def interactive(b):
+    """
+    Set whether to redraw after every plotting command (e.g. `.pyplot.xlabel`).
     """
     rcParams['interactive'] = b
 
 
 def is_interactive():
-    'Return true if plot mode is interactive'
-    return rcParams['interactive']
-
+    """
+    Return whether to redraw after every plotting command.
 
-def tk_window_focus():
-    """Return true if focus maintenance under TkAgg on win32 is on.
-     This currently works only for python.exe and IPython.exe.
-     Both IDLE and Pythonwin.exe fail badly when tk_window_focus is on."""
-    if rcParams['backend'] != 'TkAgg':
-        return False
-    return rcParams['tk.window_focus']
+    .. note::
 
-# Now allow command line to override
+        This function is only intended for use in backends. End users should
+        use `.pyplot.isinteractive` instead.
+    """
+    return rcParams['interactive']
 
-# Allow command line access to the backend with -d (MATLAB compatible
-# flag)
 
-for s in sys.argv[1:]:
-    # cast to str because we are using unicode_literals,
-    # and argv is always str
-    if s.startswith(str('-d')) and len(s) > 2:  # look for a -d flag
-        try:
-            use(s[2:])
-        except (KeyError, ValueError):
-            pass
-        # we don't want to assume all -d flags are backends, e.g., -debug
-
-default_test_modules = [
-    'matplotlib.tests.test_agg',
-    'matplotlib.tests.test_animation',
-    'matplotlib.tests.test_arrow_patches',
-    'matplotlib.tests.test_artist',
-    'matplotlib.tests.test_axes',
-    'matplotlib.tests.test_axes_grid1',
-    'matplotlib.tests.test_backend_bases',
-    'matplotlib.tests.test_backend_pdf',
-    'matplotlib.tests.test_backend_pgf',
-    'matplotlib.tests.test_backend_ps',
-    'matplotlib.tests.test_backend_qt4',
-    'matplotlib.tests.test_backend_svg',
-    'matplotlib.tests.test_basic',
-    'matplotlib.tests.test_bbox_tight',
-    'matplotlib.tests.test_cbook',
-    'matplotlib.tests.test_coding_standards',
-    'matplotlib.tests.test_collections',
-    'matplotlib.tests.test_colorbar',
-    'matplotlib.tests.test_colors',
-    'matplotlib.tests.test_compare_images',
-    'matplotlib.tests.test_contour',
-    'matplotlib.tests.test_dates',
-    'matplotlib.tests.test_delaunay',
-    'matplotlib.tests.test_figure',
-    'matplotlib.tests.test_font_manager',
-    'matplotlib.tests.test_gridspec',
-    'matplotlib.tests.test_image',
-    'matplotlib.tests.test_legend',
-    'matplotlib.tests.test_lines',
-    'matplotlib.tests.test_mathtext',
-    'matplotlib.tests.test_mlab',
-    'matplotlib.tests.test_patches',
-    'matplotlib.tests.test_path',
-    'matplotlib.tests.test_patheffects',
-    'matplotlib.tests.test_pickle',
-    'matplotlib.tests.test_png',
-    'matplotlib.tests.test_quiver',
-    'matplotlib.tests.test_rcparams',
-    'matplotlib.tests.test_scale',
-    'matplotlib.tests.test_simplification',
-    'matplotlib.tests.test_spines',
-    'matplotlib.tests.test_streamplot',
-    'matplotlib.tests.test_style',
-    'matplotlib.tests.test_subplots',
-    'matplotlib.tests.test_table',
-    'matplotlib.tests.test_text',
-    'matplotlib.tests.test_ticker',
-    'matplotlib.tests.test_tightlayout',
-    'matplotlib.tests.test_transforms',
-    'matplotlib.tests.test_triangulation',
-    'mpl_toolkits.tests.test_mplot3d',
-    'matplotlib.tests.test_widgets',
-    ]
-
-
-def test(verbosity=1):
-    """run the matplotlib test suite"""
+def _val_or_rc(val, rc_name):
+    """
+    If *val* is None, return ``mpl.rcParams[rc_name]``, otherwise return val.
+    """
+    return val if val is not None else rcParams[rc_name]
+
+
+def _init_tests():
+    # The version of FreeType to install locally for running the tests. This must match
+    # the value in `meson.build`.
+    LOCAL_FREETYPE_VERSION = '2.6.1'
+
+    from matplotlib import ft2font
+    if (ft2font.__freetype_version__ != LOCAL_FREETYPE_VERSION or
+            ft2font.__freetype_build_type__ != 'local'):
+        _log.warning(
+            "Matplotlib is not built with the correct FreeType version to run tests.  "
+            "Rebuild without setting system-freetype=true in Meson setup options.  "
+            "Expect many image comparison failures below.  "
+            "Expected freetype version %s.  "
+            "Found freetype version %s.  "
+            "Freetype build type is %slocal.",
+            LOCAL_FREETYPE_VERSION,
+            ft2font.__freetype_version__,
+            "" if ft2font.__freetype_build_type__ == 'local' else "not ")
+
+
+def _replacer(data, value):
+    """
+    Either returns ``data[value]`` or passes ``data`` back, converts either to
+    a sequence.
+    """
     try:
-        import faulthandler
-    except ImportError:
+        # if key isn't a string don't bother
+        if isinstance(value, str):
+            # try to use __getitem__
+            value = data[value]
+    except Exception:
+        # key does not exist, silently fall back to key
         pass
-    else:
-        faulthandler.enable()
+    return cbook.sanitize_sequence(value)
+
 
-    old_backend = rcParams['backend']
+def _label_from_arg(y, default_name):
     try:
-        use('agg')
-        import nose
-        import nose.plugins.builtin
-        from .testing.noseclasses import KnownFailure
-        from nose.plugins.manager import PluginManager
-        from nose.plugins import multiprocess
-
-        # store the old values before overriding
-        plugins = []
-        plugins.append(KnownFailure())
-        plugins.extend([plugin() for plugin in nose.plugins.builtin.plugins])
-
-        manager = PluginManager(plugins=plugins)
-        config = nose.config.Config(verbosity=verbosity, plugins=manager)
-
-        # Nose doesn't automatically instantiate all of the plugins in the
-        # child processes, so we have to provide the multiprocess plugin with
-        # a list.
-        multiprocess._instantiate_plugins = [KnownFailure]
-
-        success = nose.run(
-            defaultTest=default_test_modules,
-            config=config,
-        )
-    finally:
-        if old_backend.lower() != 'agg':
-            use(old_backend)
+        return y.name
+    except AttributeError:
+        if isinstance(default_name, str):
+            return default_name
+    return None
+
+
+def _add_data_doc(docstring, replace_names):
+    """
+    Add documentation for a *data* field to the given docstring.
+
+    Parameters
+    ----------
+    docstring : str
+        The input docstring.
+    replace_names : list of str or None
+        The list of parameter names which arguments should be replaced by
+        ``data[name]`` (if ``data[name]`` does not throw an exception).  If
+        None, replacement is attempted for all arguments.
+
+    Returns
+    -------
+    str
+        The augmented docstring.
+    """
+    if (docstring is None
+            or replace_names is not None and len(replace_names) == 0):
+        return docstring
+    docstring = inspect.cleandoc(docstring)
+
+    data_doc = ("""\
+    If given, all parameters also accept a string ``s``, which is
+    interpreted as ``data[s]`` if ``s`` is a key in ``data``."""
+                if replace_names is None else f"""\
+    If given, the following parameters also accept a string ``s``, which is
+    interpreted as ``data[s]`` if ``s`` is a key in ``data``:
+
+    {', '.join(map('*{}*'.format, replace_names))}""")
+    # using string replacement instead of formatting has the advantages
+    # 1) simpler indent handling
+    # 2) prevent problems with formatting characters '{', '%' in the docstring
+    if _log.level <= logging.DEBUG:
+        # test_data_parameter_replacement() tests against these log messages
+        # make sure to keep message and test in sync
+        if "data : indexable object, optional" not in docstring:
+            _log.debug("data parameter docstring error: no data parameter")
+        if 'DATA_PARAMETER_PLACEHOLDER' not in docstring:
+            _log.debug("data parameter docstring error: missing placeholder")
+    return docstring.replace('    DATA_PARAMETER_PLACEHOLDER', data_doc)
+
+
+def _preprocess_data(func=None, *, replace_names=None, label_namer=None):
+    """
+    A decorator to add a 'data' kwarg to a function.
+
+    When applied::
+
+        @_preprocess_data()
+        def func(ax, *args, **kwargs): ...
+
+    the signature is modified to ``decorated(ax, *args, data=None, **kwargs)``
+    with the following behavior:
+
+    - if called with ``data=None``, forward the other arguments to ``func``;
+    - otherwise, *data* must be a mapping; for any argument passed in as a
+      string ``name``, replace the argument by ``data[name]`` (if this does not
+      throw an exception), then forward the arguments to ``func``.
+
+    In either case, any argument that is a `MappingView` is also converted to a
+    list.
+
+    Parameters
+    ----------
+    replace_names : list of str or None, default: None
+        The list of parameter names for which lookup into *data* should be
+        attempted. If None, replacement is attempted for all arguments.
+    label_namer : str, default: None
+        If set e.g. to "namer" (which must be a kwarg in the function's
+        signature -- not as ``**kwargs``), if the *namer* argument passed in is
+        a (string) key of *data* and no *label* kwarg is passed, then use the
+        (string) value of the *namer* as *label*. ::
+
+            @_preprocess_data(label_namer="foo")
+            def func(foo, label=None): ...
+
+            func("key", data={"key": value})
+            # is equivalent to
+            func.__wrapped__(value, label="key")
+    """
+
+    if func is None:  # Return the actual decorator.
+        return functools.partial(
+            _preprocess_data,
+            replace_names=replace_names, label_namer=label_namer)
+
+    sig = inspect.signature(func)
+    varargs_name = None
+    varkwargs_name = None
+    arg_names = []
+    params = list(sig.parameters.values())
+    for p in params:
+        if p.kind is Parameter.VAR_POSITIONAL:
+            varargs_name = p.name
+        elif p.kind is Parameter.VAR_KEYWORD:
+            varkwargs_name = p.name
+        else:
+            arg_names.append(p.name)
+    data_param = Parameter("data", Parameter.KEYWORD_ONLY, default=None)
+    if varkwargs_name:
+        params.insert(-1, data_param)
+    else:
+        params.append(data_param)
+    new_sig = sig.replace(parameters=params)
+    arg_names = arg_names[1:]  # remove the first "ax" / self arg
+
+    assert {*arg_names}.issuperset(replace_names or []) or varkwargs_name, (
+        "Matplotlib internal error: invalid replace_names "
+        f"({replace_names!r}) for {func.__name__!r}")
+    assert label_namer is None or label_namer in arg_names, (
+        "Matplotlib internal error: invalid label_namer "
+        f"({label_namer!r}) for {func.__name__!r}")
+
+    @functools.wraps(func)
+    def inner(ax, *args, data=None, **kwargs):
+        if data is None:
+            return func(
+                ax,
+                *map(cbook.sanitize_sequence, args),
+                **{k: cbook.sanitize_sequence(v) for k, v in kwargs.items()})
+
+        bound = new_sig.bind(ax, *args, **kwargs)
+        auto_label = (bound.arguments.get(label_namer)
+                      or bound.kwargs.get(label_namer))
+
+        for k, v in bound.arguments.items():
+            if k == varkwargs_name:
+                for k1, v1 in v.items():
+                    if replace_names is None or k1 in replace_names:
+                        v[k1] = _replacer(data, v1)
+            elif k == varargs_name:
+                if replace_names is None:
+                    bound.arguments[k] = tuple(_replacer(data, v1) for v1 in v)
+            else:
+                if replace_names is None or k in replace_names:
+                    bound.arguments[k] = _replacer(data, v)
+
+        new_args = bound.args
+        new_kwargs = bound.kwargs
+
+        args_and_kwargs = {**bound.arguments, **bound.kwargs}
+        if label_namer and "label" not in args_and_kwargs:
+            new_kwargs["label"] = _label_from_arg(
+                args_and_kwargs.get(label_namer), auto_label)
+
+        return func(*new_args, **new_kwargs)
+
+    inner.__doc__ = _add_data_doc(inner.__doc__, replace_names)
+    inner.__signature__ = new_sig
+    return inner
+
+
+_log.debug('interactive is %s', is_interactive())
+_log.debug('platform is %s', sys.platform)
+
+
+@_api.deprecated("3.10", alternative="matplotlib.cbook.sanitize_sequence")
+def sanitize_sequence(data):
+    return cbook.sanitize_sequence(data)
+
 
-    return success
+@_api.deprecated("3.10", alternative="matplotlib.rcsetup.validate_backend")
+def validate_backend(s):
+    return rcsetup.validate_backend(s)
 
-test.__test__ = False  # nose: this function is not a test
 
-verbose.report('matplotlib version %s' % __version__)
-verbose.report('verbose.level %s' % verbose.level)
-verbose.report('interactive is %s' % is_interactive())
-verbose.report('platform is %s' % sys.platform)
-verbose.report('loaded modules: %s' % six.iterkeys(sys.modules), 'debug')
+# workaround: we must defer colormaps import to after loading rcParams, because
+# colormap creation depends on rcParams
+from matplotlib.cm import _colormaps as colormaps  # noqa: E402
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps  # noqa: E402
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps  # noqa: E402
diff --git a/lib/matplotlib/__init__.pyi b/lib/matplotlib/__init__.pyi
new file mode 100644
index 000000000000..07019109f406
--- /dev/null
+++ b/lib/matplotlib/__init__.pyi
@@ -0,0 +1,126 @@
+__all__ = [
+    "__bibtex__",
+    "__version__",
+    "__version_info__",
+    "set_loglevel",
+    "ExecutableNotFoundError",
+    "get_configdir",
+    "get_cachedir",
+    "get_data_path",
+    "matplotlib_fname",
+    "MatplotlibDeprecationWarning",
+    "RcParams",
+    "rc_params",
+    "rc_params_from_file",
+    "rcParamsDefault",
+    "rcParams",
+    "rcParamsOrig",
+    "defaultParams",
+    "rc",
+    "rcdefaults",
+    "rc_file_defaults",
+    "rc_file",
+    "rc_context",
+    "use",
+    "get_backend",
+    "interactive",
+    "is_interactive",
+    "colormaps",
+    "multivar_colormaps",
+    "bivar_colormaps",
+    "color_sequences",
+]
+
+import os
+from pathlib import Path
+
+from collections.abc import Callable, Generator
+import contextlib
+from packaging.version import Version
+
+from matplotlib._api import MatplotlibDeprecationWarning
+from typing import Any, Literal, NamedTuple, overload
+
+class _VersionInfo(NamedTuple):
+    major: int
+    minor: int
+    micro: int
+    releaselevel: str
+    serial: int
+
+__bibtex__: str
+__version__: str
+__version_info__: _VersionInfo
+
+def set_loglevel(level: str) -> None: ...
+
+class _ExecInfo(NamedTuple):
+    executable: str
+    raw_version: str
+    version: Version
+
+class ExecutableNotFoundError(FileNotFoundError): ...
+
+def _get_executable_info(name: str) -> _ExecInfo: ...
+def get_configdir() -> str: ...
+def get_cachedir() -> str: ...
+def get_data_path() -> str: ...
+def matplotlib_fname() -> str: ...
+
+class RcParams(dict[str, Any]):
+    validate: dict[str, Callable]
+    def __init__(self, *args, **kwargs) -> None: ...
+    def _set(self, key: str, val: Any) -> None: ...
+    def _get(self, key: str) -> Any: ...
+
+    def _update_raw(self, other_params: dict | RcParams) -> None: ...
+
+    def _ensure_has_backend(self) -> None: ...
+    def __setitem__(self, key: str, val: Any) -> None: ...
+    def __getitem__(self, key: str) -> Any: ...
+    def __iter__(self) -> Generator[str, None, None]: ...
+    def __len__(self) -> int: ...
+    def find_all(self, pattern: str) -> RcParams: ...
+    def copy(self) -> RcParams: ...
+
+def rc_params(fail_on_error: bool = ...) -> RcParams: ...
+def rc_params_from_file(
+    fname: str | Path | os.PathLike,
+    fail_on_error: bool = ...,
+    use_default_template: bool = ...,
+) -> RcParams: ...
+
+rcParamsDefault: RcParams
+rcParams: RcParams
+rcParamsOrig: RcParams
+defaultParams: dict[str, Any]
+
+def rc(group: str, **kwargs) -> None: ...
+def rcdefaults() -> None: ...
+def rc_file_defaults() -> None: ...
+def rc_file(
+    fname: str | Path | os.PathLike, *, use_default_template: bool = ...
+) -> None: ...
+@contextlib.contextmanager
+def rc_context(
+    rc: dict[str, Any] | None = ..., fname: str | Path | os.PathLike | None = ...
+) -> Generator[None, None, None]: ...
+def use(backend: str, *, force: bool = ...) -> None: ...
+@overload
+def get_backend(*, auto_select: Literal[True] = True) -> str: ...
+@overload
+def get_backend(*, auto_select: Literal[False]) -> str | None: ...
+def interactive(b: bool) -> None: ...
+def is_interactive() -> bool: ...
+
+def _preprocess_data(
+    func: Callable | None = ...,
+    *,
+    replace_names: list[str] | None = ...,
+    label_namer: str | None = ...
+) -> Callable: ...
+
+from matplotlib.cm import _colormaps as colormaps  # noqa: E402
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps  # noqa: E402
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps  # noqa: E402
+from matplotlib.colors import _color_sequences as color_sequences  # noqa: E402
diff --git a/lib/matplotlib/_afm.py b/lib/matplotlib/_afm.py
new file mode 100644
index 000000000000..9094206c2d7c
--- /dev/null
+++ b/lib/matplotlib/_afm.py
@@ -0,0 +1,465 @@
+"""
+A Python interface to Adobe Font Metrics Files.
+
+Although a number of other Python implementations exist, and may be more
+complete than this, it was decided not to go with them because they were
+either:
+
+1) copyrighted or used a non-BSD compatible license
+2) had too many dependencies and a free standing lib was needed
+3) did more than needed and it was easier to write afresh rather than
+   figure out how to get just what was needed.
+
+It is pretty easy to use, and has no external dependencies:
+
+>>> import matplotlib as mpl
+>>> from pathlib import Path
+>>> afm_path = Path(mpl.get_data_path(), 'fonts', 'afm', 'ptmr8a.afm')
+>>>
+>>> from matplotlib._afm import AFM
+>>> with afm_path.open('rb') as fh:
+...     afm = AFM(fh)
+>>> afm.get_fontname()
+'Times-Roman'
+
+As in the Adobe Font Metrics File Format Specification, all dimensions
+are given in units of 1/1000 of the scale factor (point size) of the font
+being used.
+"""
+
+from collections import namedtuple
+import logging
+import re
+
+from ._mathtext_data import uni2type1
+
+
+_log = logging.getLogger(__name__)
+
+
+def _to_int(x):
+    # Some AFM files have floats where we are expecting ints -- there is
+    # probably a better way to handle this (support floats, round rather than
+    # truncate).  But I don't know what the best approach is now and this
+    # change to _to_int should at least prevent Matplotlib from crashing on
+    # these.  JDH (2009-11-06)
+    return int(float(x))
+
+
+def _to_float(x):
+    # Some AFM files use "," instead of "." as decimal separator -- this
+    # shouldn't be ambiguous (unless someone is wicked enough to use "," as
+    # thousands separator...).
+    if isinstance(x, bytes):
+        # Encoding doesn't really matter -- if we have codepoints >127 the call
+        # to float() will error anyways.
+        x = x.decode('latin-1')
+    return float(x.replace(',', '.'))
+
+
+def _to_str(x):
+    return x.decode('utf8')
+
+
+def _to_list_of_ints(s):
+    s = s.replace(b',', b' ')
+    return [_to_int(val) for val in s.split()]
+
+
+def _to_list_of_floats(s):
+    return [_to_float(val) for val in s.split()]
+
+
+def _to_bool(s):
+    if s.lower().strip() in (b'false', b'0', b'no'):
+        return False
+    else:
+        return True
+
+
+def _parse_header(fh):
+    """
+    Read the font metrics header (up to the char metrics).
+
+    Returns
+    -------
+    dict
+        A dictionary mapping *key* to *val*. Dictionary keys are:
+
+            StartFontMetrics, FontName, FullName, FamilyName, Weight, ItalicAngle,
+            IsFixedPitch, FontBBox, UnderlinePosition, UnderlineThickness, Version,
+            Notice, EncodingScheme, CapHeight, XHeight, Ascender, Descender,
+            StartCharMetrics
+
+        *val* will be converted to the appropriate Python type as necessary, e.g.,:
+
+            * 'False' -> False
+            * '0' -> 0
+            * '-168 -218 1000 898' -> [-168, -218, 1000, 898]
+    """
+    header_converters = {
+        b'StartFontMetrics': _to_float,
+        b'FontName': _to_str,
+        b'FullName': _to_str,
+        b'FamilyName': _to_str,
+        b'Weight': _to_str,
+        b'ItalicAngle': _to_float,
+        b'IsFixedPitch': _to_bool,
+        b'FontBBox': _to_list_of_ints,
+        b'UnderlinePosition': _to_float,
+        b'UnderlineThickness': _to_float,
+        b'Version': _to_str,
+        # Some AFM files have non-ASCII characters (which are not allowed by
+        # the spec).  Given that there is actually no public API to even access
+        # this field, just return it as straight bytes.
+        b'Notice': lambda x: x,
+        b'EncodingScheme': _to_str,
+        b'CapHeight': _to_float,  # Is the second version a mistake, or
+        b'Capheight': _to_float,  # do some AFM files contain 'Capheight'? -JKS
+        b'XHeight': _to_float,
+        b'Ascender': _to_float,
+        b'Descender': _to_float,
+        b'StdHW': _to_float,
+        b'StdVW': _to_float,
+        b'StartCharMetrics': _to_int,
+        b'CharacterSet': _to_str,
+        b'Characters': _to_int,
+    }
+    d = {}
+    first_line = True
+    for line in fh:
+        line = line.rstrip()
+        if line.startswith(b'Comment'):
+            continue
+        lst = line.split(b' ', 1)
+        key = lst[0]
+        if first_line:
+            # AFM spec, Section 4: The StartFontMetrics keyword
+            # [followed by a version number] must be the first line in
+            # the file, and the EndFontMetrics keyword must be the
+            # last non-empty line in the file.  We just check the
+            # first header entry.
+            if key != b'StartFontMetrics':
+                raise RuntimeError('Not an AFM file')
+            first_line = False
+        if len(lst) == 2:
+            val = lst[1]
+        else:
+            val = b''
+        try:
+            converter = header_converters[key]
+        except KeyError:
+            _log.error("Found an unknown keyword in AFM header (was %r)", key)
+            continue
+        try:
+            d[key] = converter(val)
+        except ValueError:
+            _log.error('Value error parsing header in AFM: %s, %s', key, val)
+            continue
+        if key == b'StartCharMetrics':
+            break
+    else:
+        raise RuntimeError('Bad parse')
+    return d
+
+
+CharMetrics = namedtuple('CharMetrics', 'width, name, bbox')
+CharMetrics.__doc__ = """
+    Represents the character metrics of a single character.
+
+    Notes
+    -----
+    The fields do currently only describe a subset of character metrics
+    information defined in the AFM standard.
+    """
+CharMetrics.width.__doc__ = """The character width (WX)."""
+CharMetrics.name.__doc__ = """The character name (N)."""
+CharMetrics.bbox.__doc__ = """
+    The bbox of the character (B) as a tuple (*llx*, *lly*, *urx*, *ury*)."""
+
+
+def _parse_char_metrics(fh):
+    """
+    Parse the given filehandle for character metrics information.
+
+    It is assumed that the file cursor is on the line behind 'StartCharMetrics'.
+
+    Returns
+    -------
+    ascii_d : dict
+         A mapping "ASCII num of the character" to `.CharMetrics`.
+    name_d : dict
+         A mapping "character name" to `.CharMetrics`.
+
+    Notes
+    -----
+    This function is incomplete per the standard, but thus far parses
+    all the sample afm files tried.
+    """
+    required_keys = {'C', 'WX', 'N', 'B'}
+
+    ascii_d = {}
+    name_d = {}
+    for line in fh:
+        # We are defensively letting values be utf8. The spec requires
+        # ascii, but there are non-compliant fonts in circulation
+        line = _to_str(line.rstrip())  # Convert from byte-literal
+        if line.startswith('EndCharMetrics'):
+            return ascii_d, name_d
+        # Split the metric line into a dictionary, keyed by metric identifiers
+        vals = dict(s.strip().split(' ', 1) for s in line.split(';') if s)
+        # There may be other metrics present, but only these are needed
+        if not required_keys.issubset(vals):
+            raise RuntimeError('Bad char metrics line: %s' % line)
+        num = _to_int(vals['C'])
+        wx = _to_float(vals['WX'])
+        name = vals['N']
+        bbox = _to_list_of_floats(vals['B'])
+        bbox = list(map(int, bbox))
+        metrics = CharMetrics(wx, name, bbox)
+        # Workaround: If the character name is 'Euro', give it the
+        # corresponding character code, according to WinAnsiEncoding (see PDF
+        # Reference).
+        if name == 'Euro':
+            num = 128
+        elif name == 'minus':
+            num = ord("\N{MINUS SIGN}")  # 0x2212
+        if num != -1:
+            ascii_d[num] = metrics
+        name_d[name] = metrics
+    raise RuntimeError('Bad parse')
+
+
+def _parse_kern_pairs(fh):
+    """
+    Return a kern pairs dictionary.
+
+    Returns
+    -------
+    dict
+        Keys are (*char1*, *char2*) tuples and values are the kern pair value. For
+        example, a kern pairs line like ``KPX A y -50`` will be represented as::
+
+            d['A', 'y'] = -50
+    """
+
+    line = next(fh)
+    if not line.startswith(b'StartKernPairs'):
+        raise RuntimeError('Bad start of kern pairs data: %s' % line)
+
+    d = {}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        if line.startswith(b'EndKernPairs'):
+            next(fh)  # EndKernData
+            return d
+        vals = line.split()
+        if len(vals) != 4 or vals[0] != b'KPX':
+            raise RuntimeError('Bad kern pairs line: %s' % line)
+        c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
+        d[(c1, c2)] = val
+    raise RuntimeError('Bad kern pairs parse')
+
+
+CompositePart = namedtuple('CompositePart', 'name, dx, dy')
+CompositePart.__doc__ = """
+    Represents the information on a composite element of a composite char."""
+CompositePart.name.__doc__ = """Name of the part, e.g. 'acute'."""
+CompositePart.dx.__doc__ = """x-displacement of the part from the origin."""
+CompositePart.dy.__doc__ = """y-displacement of the part from the origin."""
+
+
+def _parse_composites(fh):
+    """
+    Parse the given filehandle for composites information.
+
+    It is assumed that the file cursor is on the line behind 'StartComposites'.
+
+    Returns
+    -------
+    dict
+        A dict mapping composite character names to a parts list. The parts
+        list is a list of `.CompositePart` entries describing the parts of
+        the composite.
+
+    Examples
+    --------
+    A composite definition line::
+
+      CC Aacute 2 ; PCC A 0 0 ; PCC acute 160 170 ;
+
+    will be represented as::
+
+      composites['Aacute'] = [CompositePart(name='A', dx=0, dy=0),
+                              CompositePart(name='acute', dx=160, dy=170)]
+
+    """
+    composites = {}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        if line.startswith(b'EndComposites'):
+            return composites
+        vals = line.split(b';')
+        cc = vals[0].split()
+        name, _num_parts = cc[1], _to_int(cc[2])
+        pccParts = []
+        for s in vals[1:-1]:
+            pcc = s.split()
+            part = CompositePart(pcc[1], _to_float(pcc[2]), _to_float(pcc[3]))
+            pccParts.append(part)
+        composites[name] = pccParts
+
+    raise RuntimeError('Bad composites parse')
+
+
+def _parse_optional(fh):
+    """
+    Parse the optional fields for kern pair data and composites.
+
+    Returns
+    -------
+    kern_data : dict
+        A dict containing kerning information. May be empty.
+        See `._parse_kern_pairs`.
+    composites : dict
+        A dict containing composite information. May be empty.
+        See `._parse_composites`.
+    """
+    optional = {
+        b'StartKernData': _parse_kern_pairs,
+        b'StartComposites':  _parse_composites,
+        }
+
+    d = {b'StartKernData': {},
+         b'StartComposites': {}}
+    for line in fh:
+        line = line.rstrip()
+        if not line:
+            continue
+        key = line.split()[0]
+
+        if key in optional:
+            d[key] = optional[key](fh)
+
+    return d[b'StartKernData'], d[b'StartComposites']
+
+
+class AFM:
+
+    def __init__(self, fh):
+        """Parse the AFM file in file object *fh*."""
+        self._header = _parse_header(fh)
+        self._metrics, self._metrics_by_name = _parse_char_metrics(fh)
+        self._kern, self._composite = _parse_optional(fh)
+
+    def get_str_bbox_and_descent(self, s):
+        """Return the string bounding box and the maximal descent."""
+        if not len(s):
+            return 0, 0, 0, 0, 0
+        total_width = 0
+        namelast = None
+        miny = 1e9
+        maxy = 0
+        left = 0
+        if not isinstance(s, str):
+            s = _to_str(s)
+        for c in s:
+            if c == '\n':
+                continue
+            name = uni2type1.get(ord(c), f"uni{ord(c):04X}")
+            try:
+                wx, _, bbox = self._metrics_by_name[name]
+            except KeyError:
+                name = 'question'
+                wx, _, bbox = self._metrics_by_name[name]
+            total_width += wx + self._kern.get((namelast, name), 0)
+            l, b, w, h = bbox
+            left = min(left, l)
+            miny = min(miny, b)
+            maxy = max(maxy, b + h)
+
+            namelast = name
+
+        return left, miny, total_width, maxy - miny, -miny
+
+    def get_glyph_name(self, glyph_ind):  # For consistency with FT2Font.
+        """Get the name of the glyph, i.e., ord(';') is 'semicolon'."""
+        return self._metrics[glyph_ind].name
+
+    def get_char_index(self, c):  # For consistency with FT2Font.
+        """
+        Return the glyph index corresponding to a character code point.
+
+        Note, for AFM fonts, we treat the glyph index the same as the codepoint.
+        """
+        return c
+
+    def get_width_char(self, c):
+        """Get the width of the character code from the character metric WX field."""
+        return self._metrics[c].width
+
+    def get_width_from_char_name(self, name):
+        """Get the width of the character from a type1 character name."""
+        return self._metrics_by_name[name].width
+
+    def get_kern_dist_from_name(self, name1, name2):
+        """
+        Return the kerning pair distance (possibly 0) for chars *name1* and *name2*.
+        """
+        return self._kern.get((name1, name2), 0)
+
+    def get_fontname(self):
+        """Return the font name, e.g., 'Times-Roman'."""
+        return self._header[b'FontName']
+
+    @property
+    def postscript_name(self):  # For consistency with FT2Font.
+        return self.get_fontname()
+
+    def get_fullname(self):
+        """Return the font full name, e.g., 'Times-Roman'."""
+        name = self._header.get(b'FullName')
+        if name is None:  # use FontName as a substitute
+            name = self._header[b'FontName']
+        return name
+
+    def get_familyname(self):
+        """Return the font family name, e.g., 'Times'."""
+        name = self._header.get(b'FamilyName')
+        if name is not None:
+            return name
+
+        # FamilyName not specified so we'll make a guess
+        name = self.get_fullname()
+        extras = (r'(?i)([ -](regular|plain|italic|oblique|bold|semibold|'
+                  r'light|ultralight|extra|condensed))+$')
+        return re.sub(extras, '', name)
+
+    @property
+    def family_name(self):  # For consistency with FT2Font.
+        """The font family name, e.g., 'Times'."""
+        return self.get_familyname()
+
+    def get_weight(self):
+        """Return the font weight, e.g., 'Bold' or 'Roman'."""
+        return self._header[b'Weight']
+
+    def get_angle(self):
+        """Return the fontangle as float."""
+        return self._header[b'ItalicAngle']
+
+    def get_capheight(self):
+        """Return the cap height as float."""
+        return self._header[b'CapHeight']
+
+    def get_xheight(self):
+        """Return the xheight as float."""
+        return self._header[b'XHeight']
+
+    def get_underline_thickness(self):
+        """Return the underline thickness as float."""
+        return self._header[b'UnderlineThickness']
diff --git a/lib/matplotlib/_animation_data.py b/lib/matplotlib/_animation_data.py
new file mode 100644
index 000000000000..8cbd312d8f14
--- /dev/null
+++ b/lib/matplotlib/_animation_data.py
@@ -0,0 +1,262 @@
+# JavaScript template for HTMLWriter
+JS_INCLUDE = """
+<link rel="stylesheet"
+href="https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css">
+<script language="javascript">
+  function isInternetExplorer() {
+    ua = navigator.userAgent;
+    /* MSIE used to detect old browsers and Trident used to newer ones*/
+    return ua.indexOf("MSIE ") > -1 || ua.indexOf("Trident/") > -1;
+  }
+
+  /* Define the Animation class */
+  function Animation(frames, img_id, slider_id, interval, loop_select_id){
+    this.img_id = img_id;
+    this.slider_id = slider_id;
+    this.loop_select_id = loop_select_id;
+    this.interval = interval;
+    this.current_frame = 0;
+    this.direction = 0;
+    this.timer = null;
+    this.frames = new Array(frames.length);
+
+    for (var i=0; i<frames.length; i++)
+    {
+     this.frames[i] = new Image();
+     this.frames[i].src = frames[i];
+    }
+    var slider = document.getElementById(this.slider_id);
+    slider.max = this.frames.length - 1;
+    if (isInternetExplorer()) {
+        // switch from oninput to onchange because IE <= 11 does not conform
+        // with W3C specification. It ignores oninput and onchange behaves
+        // like oninput. In contrast, Microsoft Edge behaves correctly.
+        slider.setAttribute('onchange', slider.getAttribute('oninput'));
+        slider.setAttribute('oninput', null);
+    }
+    this.set_frame(this.current_frame);
+  }
+
+  Animation.prototype.get_loop_state = function(){
+    var button_group = document[this.loop_select_id].state;
+    for (var i = 0; i < button_group.length; i++) {
+        var button = button_group[i];
+        if (button.checked) {
+            return button.value;
+        }
+    }
+    return undefined;
+  }
+
+  Animation.prototype.set_frame = function(frame){
+    this.current_frame = frame;
+    document.getElementById(this.img_id).src =
+            this.frames[this.current_frame].src;
+    document.getElementById(this.slider_id).value = this.current_frame;
+  }
+
+  Animation.prototype.next_frame = function()
+  {
+    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));
+  }
+
+  Animation.prototype.previous_frame = function()
+  {
+    this.set_frame(Math.max(0, this.current_frame - 1));
+  }
+
+  Animation.prototype.first_frame = function()
+  {
+    this.set_frame(0);
+  }
+
+  Animation.prototype.last_frame = function()
+  {
+    this.set_frame(this.frames.length - 1);
+  }
+
+  Animation.prototype.slower = function()
+  {
+    this.interval /= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.faster = function()
+  {
+    this.interval *= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.anim_step_forward = function()
+  {
+    this.current_frame += 1;
+    if(this.current_frame < this.frames.length){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.first_frame();
+      }else if(loop_state == "reflect"){
+        this.last_frame();
+        this.reverse_animation();
+      }else{
+        this.pause_animation();
+        this.last_frame();
+      }
+    }
+  }
+
+  Animation.prototype.anim_step_reverse = function()
+  {
+    this.current_frame -= 1;
+    if(this.current_frame >= 0){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.last_frame();
+      }else if(loop_state == "reflect"){
+        this.first_frame();
+        this.play_animation();
+      }else{
+        this.pause_animation();
+        this.first_frame();
+      }
+    }
+  }
+
+  Animation.prototype.pause_animation = function()
+  {
+    this.direction = 0;
+    if (this.timer){
+      clearInterval(this.timer);
+      this.timer = null;
+    }
+  }
+
+  Animation.prototype.play_animation = function()
+  {
+    this.pause_animation();
+    this.direction = 1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_forward();
+    }, this.interval);
+  }
+
+  Animation.prototype.reverse_animation = function()
+  {
+    this.pause_animation();
+    this.direction = -1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_reverse();
+    }, this.interval);
+  }
+</script>
+"""
+
+
+# Style definitions for the HTML template
+STYLE_INCLUDE = """
+<style>
+.animation {
+    display: inline-block;
+    text-align: center;
+}
+input[type=range].anim-slider {
+    width: 374px;
+    margin-left: auto;
+    margin-right: auto;
+}
+.anim-buttons {
+    margin: 8px 0px;
+}
+.anim-buttons button {
+    padding: 0;
+    width: 36px;
+}
+.anim-state label {
+    margin-right: 8px;
+}
+.anim-state input {
+    margin: 0;
+    vertical-align: middle;
+}
+</style>
+"""
+
+
+# HTML template for HTMLWriter
+DISPLAY_TEMPLATE = """
+<div class="animation">
+  <img id="_anim_img{id}">
+  <div class="anim-controls">
+    <input id="_anim_slider{id}" type="range" class="anim-slider"
+           name="points" min="0" max="1" step="1" value="0"
+           oninput="anim{id}.set_frame(parseInt(this.value));">
+    <div class="anim-buttons">
+      <button title="Decrease speed" aria-label="Decrease speed" onclick="anim{id}.slower()">
+          <i class="fa fa-minus"></i></button>
+      <button title="First frame" aria-label="First frame" onclick="anim{id}.first_frame()">
+        <i class="fa fa-fast-backward"></i></button>
+      <button title="Previous frame" aria-label="Previous frame" onclick="anim{id}.previous_frame()">
+          <i class="fa fa-step-backward"></i></button>
+      <button title="Play backwards" aria-label="Play backwards" onclick="anim{id}.reverse_animation()">
+          <i class="fa fa-play fa-flip-horizontal"></i></button>
+      <button title="Pause" aria-label="Pause" onclick="anim{id}.pause_animation()">
+          <i class="fa fa-pause"></i></button>
+      <button title="Play" aria-label="Play" onclick="anim{id}.play_animation()">
+          <i class="fa fa-play"></i></button>
+      <button title="Next frame" aria-label="Next frame" onclick="anim{id}.next_frame()">
+          <i class="fa fa-step-forward"></i></button>
+      <button title="Last frame" aria-label="Last frame" onclick="anim{id}.last_frame()">
+          <i class="fa fa-fast-forward"></i></button>
+      <button title="Increase speed" aria-label="Increase speed" onclick="anim{id}.faster()">
+          <i class="fa fa-plus"></i></button>
+    </div>
+    <form title="Repetition mode" aria-label="Repetition mode" action="#n" name="_anim_loop_select{id}"
+          class="anim-state">
+      <input type="radio" name="state" value="once" id="_anim_radio1_{id}"
+             {once_checked}>
+      <label for="_anim_radio1_{id}">Once</label>
+      <input type="radio" name="state" value="loop" id="_anim_radio2_{id}"
+             {loop_checked}>
+      <label for="_anim_radio2_{id}">Loop</label>
+      <input type="radio" name="state" value="reflect" id="_anim_radio3_{id}"
+             {reflect_checked}>
+      <label for="_anim_radio3_{id}">Reflect</label>
+    </form>
+  </div>
+</div>
+
+
+<script language="javascript">
+  /* Instantiate the Animation class. */
+  /* The IDs given should match those used in the template above. */
+  (function() {{
+    var img_id = "_anim_img{id}";
+    var slider_id = "_anim_slider{id}";
+    var loop_select_id = "_anim_loop_select{id}";
+    var frames = new Array({Nframes});
+    {fill_frames}
+
+    /* set a timeout to make sure all the above elements are created before
+       the object is initialized. */
+    setTimeout(function() {{
+        anim{id} = new Animation(frames, img_id, slider_id, {interval},
+                                 loop_select_id);
+    }}, 0);
+  }})()
+</script>
+"""  # noqa: E501
+
+
+INCLUDED_FRAMES = """
+  for (var i=0; i<{Nframes}; i++){{
+    frames[i] = "{frame_dir}/frame" + ("0000000" + i).slice(-7) +
+                ".{frame_format}";
+  }}
+"""
diff --git a/lib/matplotlib/_api/__init__.py b/lib/matplotlib/_api/__init__.py
new file mode 100644
index 000000000000..47c32f701729
--- /dev/null
+++ b/lib/matplotlib/_api/__init__.py
@@ -0,0 +1,400 @@
+"""
+Helper functions for managing the Matplotlib API.
+
+This documentation is only relevant for Matplotlib developers, not for users.
+
+.. warning::
+
+    This module and its submodules are for internal use only.  Do not use them
+    in your own code.  We may change the API at any time with no warning.
+
+"""
+
+import functools
+import itertools
+import pathlib
+import re
+import sys
+import warnings
+
+from .deprecation import (  # noqa: F401
+    deprecated, warn_deprecated,
+    rename_parameter, delete_parameter, make_keyword_only,
+    deprecate_method_override, deprecate_privatize_attribute,
+    suppress_matplotlib_deprecation_warning,
+    MatplotlibDeprecationWarning)
+
+
+# A sentinel value for optional arguments, when None cannot be used as
+# default because we need to distinguish between None passed explicitly
+# and parameter not given. Usage: def foo(arg=_api.UNSET):
+class _Unset:
+    def __repr__(self):
+        return "<UNSET>"
+UNSET = _Unset()
+
+
+class classproperty:
+    """
+    Like `property`, but also triggers on access via the class, and it is the
+    *class* that's passed as argument.
+
+    Examples
+    --------
+    ::
+
+        class C:
+            @classproperty
+            def foo(cls):
+                return cls.__name__
+
+        assert C.foo == "C"
+    """
+
+    def __init__(self, fget, fset=None, fdel=None, doc=None):
+        self._fget = fget
+        if fset is not None or fdel is not None:
+            raise ValueError('classproperty only implements fget.')
+        self.fset = fset
+        self.fdel = fdel
+        # docs are ignored for now
+        self._doc = doc
+
+    def __get__(self, instance, owner):
+        return self._fget(owner)
+
+    @property
+    def fget(self):
+        return self._fget
+
+
+# In the following check_foo() functions, the first parameter is positional-only to make
+# e.g. `_api.check_isinstance([...], types=foo)` work.
+
+def check_isinstance(types, /, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* is an instance
+    of one of *types*; if not, raise an appropriate TypeError.
+
+    As a special case, a ``None`` entry in *types* is treated as NoneType.
+
+    Examples
+    --------
+    >>> _api.check_isinstance((SomeClass, None), arg=arg)
+    """
+    none_type = type(None)
+    types = ((types,) if isinstance(types, type) else
+             (none_type,) if types is None else
+             tuple(none_type if tp is None else tp for tp in types))
+
+    def type_name(tp):
+        return ("None" if tp is none_type
+                else tp.__qualname__ if tp.__module__ == "builtins"
+                else f"{tp.__module__}.{tp.__qualname__}")
+
+    for k, v in kwargs.items():
+        if not isinstance(v, types):
+            names = [*map(type_name, types)]
+            if "None" in names:  # Move it to the end for better wording.
+                names.remove("None")
+                names.append("None")
+            raise TypeError(
+                "{!r} must be an instance of {}, not a {}".format(
+                    k,
+                    ", ".join(names[:-1]) + " or " + names[-1]
+                    if len(names) > 1 else names[0],
+                    type_name(type(v))))
+
+
+def check_in_list(values, /, *, _print_supported_values=True, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* is in *values*;
+    if not, raise an appropriate ValueError.
+
+    Parameters
+    ----------
+    values : iterable
+        Sequence of values to check on.
+    _print_supported_values : bool, default: True
+        Whether to print *values* when raising ValueError.
+    **kwargs : dict
+        *key, value* pairs as keyword arguments to find in *values*.
+
+    Raises
+    ------
+    ValueError
+        If any *value* in *kwargs* is not found in *values*.
+
+    Examples
+    --------
+    >>> _api.check_in_list(["foo", "bar"], arg=arg, other_arg=other_arg)
+    """
+    if not kwargs:
+        raise TypeError("No argument to check!")
+    for key, val in kwargs.items():
+        if val not in values:
+            msg = f"{val!r} is not a valid value for {key}"
+            if _print_supported_values:
+                msg += f"; supported values are {', '.join(map(repr, values))}"
+            raise ValueError(msg)
+
+
+def check_shape(shape, /, **kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* has the shape *shape*;
+    if not, raise an appropriate ValueError.
+
+    *None* in the shape is treated as a "free" size that can have any length.
+    e.g. (None, 2) -> (N, 2)
+
+    The values checked must be numpy arrays.
+
+    Examples
+    --------
+    To check for (N, 2) shaped arrays
+
+    >>> _api.check_shape((None, 2), arg=arg, other_arg=other_arg)
+    """
+    for k, v in kwargs.items():
+        data_shape = v.shape
+
+        if (len(data_shape) != len(shape)
+                or any(s != t and t is not None for s, t in zip(data_shape, shape))):
+            dim_labels = iter(itertools.chain(
+                'NMLKJIH',
+                (f"D{i}" for i in itertools.count())))
+            text_shape = ", ".join([str(n) if n is not None else next(dim_labels)
+                                    for n in shape[::-1]][::-1])
+            if len(shape) == 1:
+                text_shape += ","
+
+            raise ValueError(
+                f"{k!r} must be {len(shape)}D with shape ({text_shape}), "
+                f"but your input has shape {v.shape}"
+            )
+
+
+def check_getitem(mapping, /, **kwargs):
+    """
+    *kwargs* must consist of a single *key, value* pair.  If *key* is in
+    *mapping*, return ``mapping[value]``; else, raise an appropriate
+    ValueError.
+
+    Examples
+    --------
+    >>> _api.check_getitem({"foo": "bar"}, arg=arg)
+    """
+    if len(kwargs) != 1:
+        raise ValueError("check_getitem takes a single keyword argument")
+    (k, v), = kwargs.items()
+    try:
+        return mapping[v]
+    except KeyError:
+        raise ValueError(
+            f"{v!r} is not a valid value for {k}; supported values are "
+            f"{', '.join(map(repr, mapping))}") from None
+
+
+def caching_module_getattr(cls):
+    """
+    Helper decorator for implementing module-level ``__getattr__`` as a class.
+
+    This decorator must be used at the module toplevel as follows::
+
+        @caching_module_getattr
+        class __getattr__:  # The class *must* be named ``__getattr__``.
+            @property  # Only properties are taken into account.
+            def name(self): ...
+
+    The ``__getattr__`` class will be replaced by a ``__getattr__``
+    function such that trying to access ``name`` on the module will
+    resolve the corresponding property (which may be decorated e.g. with
+    ``_api.deprecated`` for deprecating module globals).  The properties are
+    all implicitly cached.  Moreover, a suitable AttributeError is generated
+    and raised if no property with the given name exists.
+    """
+
+    assert cls.__name__ == "__getattr__"
+    # Don't accidentally export cls dunders.
+    props = {name: prop for name, prop in vars(cls).items()
+             if isinstance(prop, property)}
+    instance = cls()
+
+    @functools.cache
+    def __getattr__(name):
+        if name in props:
+            return props[name].__get__(instance)
+        raise AttributeError(
+            f"module {cls.__module__!r} has no attribute {name!r}")
+
+    return __getattr__
+
+
+def define_aliases(alias_d, cls=None):
+    """
+    Class decorator for defining property aliases.
+
+    Use as ::
+
+        @_api.define_aliases({"property": ["alias", ...], ...})
+        class C: ...
+
+    For each property, if the corresponding ``get_property`` is defined in the
+    class so far, an alias named ``get_alias`` will be defined; the same will
+    be done for setters.  If neither the getter nor the setter exists, an
+    exception will be raised.
+
+    The alias map is stored as the ``_alias_map`` attribute on the class and
+    can be used by `.normalize_kwargs` (which assumes that higher priority
+    aliases come last).
+    """
+    if cls is None:  # Return the actual class decorator.
+        return functools.partial(define_aliases, alias_d)
+
+    def make_alias(name):  # Enforce a closure over *name*.
+        @functools.wraps(getattr(cls, name))
+        def method(self, *args, **kwargs):
+            return getattr(self, name)(*args, **kwargs)
+        return method
+
+    for prop, aliases in alias_d.items():
+        exists = False
+        for prefix in ["get_", "set_"]:
+            if prefix + prop in vars(cls):
+                exists = True
+                for alias in aliases:
+                    method = make_alias(prefix + prop)
+                    method.__name__ = prefix + alias
+                    method.__doc__ = f"Alias for `{prefix + prop}`."
+                    setattr(cls, prefix + alias, method)
+        if not exists:
+            raise ValueError(
+                f"Neither getter nor setter exists for {prop!r}")
+
+    def get_aliased_and_aliases(d):
+        return {*d, *(alias for aliases in d.values() for alias in aliases)}
+
+    preexisting_aliases = getattr(cls, "_alias_map", {})
+    conflicting = (get_aliased_and_aliases(preexisting_aliases)
+                   & get_aliased_and_aliases(alias_d))
+    if conflicting:
+        # Need to decide on conflict resolution policy.
+        raise NotImplementedError(
+            f"Parent class already defines conflicting aliases: {conflicting}")
+    cls._alias_map = {**preexisting_aliases, **alias_d}
+    return cls
+
+
+def select_matching_signature(funcs, *args, **kwargs):
+    """
+    Select and call the function that accepts ``*args, **kwargs``.
+
+    *funcs* is a list of functions which should not raise any exception (other
+    than `TypeError` if the arguments passed do not match their signature).
+
+    `select_matching_signature` tries to call each of the functions in *funcs*
+    with ``*args, **kwargs`` (in the order in which they are given).  Calls
+    that fail with a `TypeError` are silently skipped.  As soon as a call
+    succeeds, `select_matching_signature` returns its return value.  If no
+    function accepts ``*args, **kwargs``, then the `TypeError` raised by the
+    last failing call is re-raised.
+
+    Callers should normally make sure that any ``*args, **kwargs`` can only
+    bind a single *func* (to avoid any ambiguity), although this is not checked
+    by `select_matching_signature`.
+
+    Notes
+    -----
+    `select_matching_signature` is intended to help implementing
+    signature-overloaded functions.  In general, such functions should be
+    avoided, except for back-compatibility concerns.  A typical use pattern is
+    ::
+
+        def my_func(*args, **kwargs):
+            params = select_matching_signature(
+                [lambda old1, old2: locals(), lambda new: locals()],
+                *args, **kwargs)
+            if "old1" in params:
+                warn_deprecated(...)
+                old1, old2 = params.values()  # note that locals() is ordered.
+            else:
+                new, = params.values()
+            # do things with params
+
+    which allows *my_func* to be called either with two parameters (*old1* and
+    *old2*) or a single one (*new*).  Note that the new signature is given
+    last, so that callers get a `TypeError` corresponding to the new signature
+    if the arguments they passed in do not match any signature.
+    """
+    # Rather than relying on locals() ordering, one could have just used func's
+    # signature (``bound = inspect.signature(func).bind(*args, **kwargs);
+    # bound.apply_defaults(); return bound``) but that is significantly slower.
+    for i, func in enumerate(funcs):
+        try:
+            return func(*args, **kwargs)
+        except TypeError:
+            if i == len(funcs) - 1:
+                raise
+
+
+def nargs_error(name, takes, given):
+    """Generate a TypeError to be raised by function calls with wrong arity."""
+    return TypeError(f"{name}() takes {takes} positional arguments but "
+                     f"{given} were given")
+
+
+def kwarg_error(name, kw):
+    """
+    Generate a TypeError to be raised by function calls with wrong kwarg.
+
+    Parameters
+    ----------
+    name : str
+        The name of the calling function.
+    kw : str or Iterable[str]
+        Either the invalid keyword argument name, or an iterable yielding
+        invalid keyword arguments (e.g., a ``kwargs`` dict).
+    """
+    if not isinstance(kw, str):
+        kw = next(iter(kw))
+    return TypeError(f"{name}() got an unexpected keyword argument '{kw}'")
+
+
+def recursive_subclasses(cls):
+    """Yield *cls* and direct and indirect subclasses of *cls*."""
+    yield cls
+    for subcls in cls.__subclasses__():
+        yield from recursive_subclasses(subcls)
+
+
+def warn_external(message, category=None):
+    """
+    `warnings.warn` wrapper that sets *stacklevel* to "outside Matplotlib".
+
+    The original emitter of the warning can be obtained by patching this
+    function back to `warnings.warn`, i.e. ``_api.warn_external =
+    warnings.warn`` (or ``functools.partial(warnings.warn, stacklevel=2)``,
+    etc.).
+    """
+    kwargs = {}
+    if sys.version_info[:2] >= (3, 12):
+        # Go to Python's `site-packages` or `lib` from an editable install.
+        basedir = pathlib.Path(__file__).parents[2]
+        kwargs['skip_file_prefixes'] = (str(basedir / 'matplotlib'),
+                                        str(basedir / 'mpl_toolkits'))
+    else:
+        frame = sys._getframe()
+        for stacklevel in itertools.count(1):
+            if frame is None:
+                # when called in embedded context may hit frame is None
+                kwargs['stacklevel'] = stacklevel
+                break
+            if not re.match(r"\A(matplotlib|mpl_toolkits)(\Z|\.(?!tests\.))",
+                            # Work around sphinx-gallery not setting __name__.
+                            frame.f_globals.get("__name__", "")):
+                kwargs['stacklevel'] = stacklevel
+                break
+            frame = frame.f_back
+        # preemptively break reference cycle between locals and the frame
+        del frame
+    warnings.warn(message, category, **kwargs)
diff --git a/lib/matplotlib/_api/__init__.pyi b/lib/matplotlib/_api/__init__.pyi
new file mode 100644
index 000000000000..9bf67110bb54
--- /dev/null
+++ b/lib/matplotlib/_api/__init__.pyi
@@ -0,0 +1,61 @@
+from collections.abc import Callable, Generator, Iterable, Mapping, Sequence
+from typing import Any, TypeVar, overload
+from typing_extensions import Self  # < Py 3.11
+
+from numpy.typing import NDArray
+
+from .deprecation import (  # noqa: F401, re-exported API
+    deprecated as deprecated,
+    warn_deprecated as warn_deprecated,
+    rename_parameter as rename_parameter,
+    delete_parameter as delete_parameter,
+    make_keyword_only as make_keyword_only,
+    deprecate_method_override as deprecate_method_override,
+    deprecate_privatize_attribute as deprecate_privatize_attribute,
+    suppress_matplotlib_deprecation_warning as suppress_matplotlib_deprecation_warning,
+    MatplotlibDeprecationWarning as MatplotlibDeprecationWarning,
+)
+
+_T = TypeVar("_T")
+
+class _Unset: ...
+
+class classproperty(Any):
+    def __init__(
+        self,
+        fget: Callable[[_T], Any],
+        fset: None = ...,
+        fdel: None = ...,
+        doc: str | None = None,
+    ): ...
+    @overload
+    def __get__(self, instance: None, owner: None) -> Self: ...
+    @overload
+    def __get__(self, instance: object, owner: type[object]) -> Any: ...
+    @property
+    def fget(self) -> Callable[[_T], Any]: ...
+
+def check_isinstance(
+    types: type | tuple[type | None, ...], /, **kwargs: Any
+) -> None: ...
+def check_in_list(
+    values: Sequence[Any], /, *, _print_supported_values: bool = ..., **kwargs: Any
+) -> None: ...
+def check_shape(shape: tuple[int | None, ...], /, **kwargs: NDArray) -> None: ...
+def check_getitem(mapping: Mapping[Any, Any], /, **kwargs: Any) -> Any: ...
+def caching_module_getattr(cls: type) -> Callable[[str], Any]: ...
+@overload
+def define_aliases(
+    alias_d: dict[str, list[str]], cls: None = ...
+) -> Callable[[type[_T]], type[_T]]: ...
+@overload
+def define_aliases(alias_d: dict[str, list[str]], cls: type[_T]) -> type[_T]: ...
+def select_matching_signature(
+    funcs: list[Callable], *args: Any, **kwargs: Any
+) -> Any: ...
+def nargs_error(name: str, takes: int | str, given: int) -> TypeError: ...
+def kwarg_error(name: str, kw: str | Iterable[str]) -> TypeError: ...
+def recursive_subclasses(cls: type) -> Generator[type, None, None]: ...
+def warn_external(
+    message: str | Warning, category: type[Warning] | None = ...
+) -> None: ...
diff --git a/lib/matplotlib/_api/deprecation.py b/lib/matplotlib/_api/deprecation.py
new file mode 100644
index 000000000000..65a754bbb43d
--- /dev/null
+++ b/lib/matplotlib/_api/deprecation.py
@@ -0,0 +1,509 @@
+"""
+Helper functions for deprecating parts of the Matplotlib API.
+
+This documentation is only relevant for Matplotlib developers, not for users.
+
+.. warning::
+
+    This module is for internal use only.  Do not use it in your own code.
+    We may change the API at any time with no warning.
+
+"""
+
+import contextlib
+import functools
+import inspect
+import math
+import warnings
+
+
+class MatplotlibDeprecationWarning(DeprecationWarning):
+    """A class for issuing deprecation warnings for Matplotlib users."""
+
+
+def _generate_deprecation_warning(
+        since, message='', name='', alternative='', pending=False, obj_type='',
+        addendum='', *, removal=''):
+    if pending:
+        if removal:
+            raise ValueError("A pending deprecation cannot have a scheduled removal")
+    elif removal == '':
+        macro, meso, *_ = since.split('.')
+        removal = f'{macro}.{int(meso) + 2}'
+    if not message:
+        message = (
+            ("The %(name)s %(obj_type)s" if obj_type else "%(name)s") +
+            (" will be deprecated in a future version" if pending else
+             (" was deprecated in Matplotlib %(since)s" +
+              (" and will be removed in %(removal)s" if removal else ""))) +
+            "." +
+            (" Use %(alternative)s instead." if alternative else "") +
+            (" %(addendum)s" if addendum else ""))
+    warning_cls = PendingDeprecationWarning if pending else MatplotlibDeprecationWarning
+    return warning_cls(message % dict(
+        func=name, name=name, obj_type=obj_type, since=since, removal=removal,
+        alternative=alternative, addendum=addendum))
+
+
+def warn_deprecated(
+        since, *, message='', name='', alternative='', pending=False,
+        obj_type='', addendum='', removal=''):
+    """
+    Display a standardized deprecation.
+
+    Parameters
+    ----------
+    since : str
+        The release at which this API became deprecated.
+    message : str, optional
+        Override the default deprecation message.  The ``%(since)s``,
+        ``%(name)s``, ``%(alternative)s``, ``%(obj_type)s``, ``%(addendum)s``,
+        and ``%(removal)s`` format specifiers will be replaced by the values
+        of the respective arguments passed to this function.
+    name : str, optional
+        The name of the deprecated object.
+    alternative : str, optional
+        An alternative API that the user may use in place of the deprecated
+        API.  The deprecation warning will tell the user about this alternative
+        if provided.
+    pending : bool, optional
+        If True, uses a PendingDeprecationWarning instead of a
+        DeprecationWarning.  Cannot be used together with *removal*.
+    obj_type : str, optional
+        The object type being deprecated.
+    addendum : str, optional
+        Additional text appended directly to the final message.
+    removal : str, optional
+        The expected removal version.  With the default (an empty string), a
+        removal version is automatically computed from *since*.  Set to other
+        Falsy values to not schedule a removal date.  Cannot be used together
+        with *pending*.
+
+    Examples
+    --------
+    ::
+
+        # To warn of the deprecation of "matplotlib.name_of_module"
+        warn_deprecated('1.4.0', name='matplotlib.name_of_module',
+                        obj_type='module')
+    """
+    warning = _generate_deprecation_warning(
+        since, message, name, alternative, pending, obj_type, addendum,
+        removal=removal)
+    from . import warn_external
+    warn_external(warning, category=MatplotlibDeprecationWarning)
+
+
+def deprecated(since, *, message='', name='', alternative='', pending=False,
+               obj_type=None, addendum='', removal=''):
+    """
+    Decorator to mark a function, a class, or a property as deprecated.
+
+    When deprecating a classmethod, a staticmethod, or a property, the
+    ``@deprecated`` decorator should go *under* ``@classmethod`` and
+    ``@staticmethod`` (i.e., `deprecated` should directly decorate the
+    underlying callable), but *over* ``@property``.
+
+    When deprecating a class ``C`` intended to be used as a base class in a
+    multiple inheritance hierarchy, ``C`` *must* define an ``__init__`` method
+    (if ``C`` instead inherited its ``__init__`` from its own base class, then
+    ``@deprecated`` would mess up ``__init__`` inheritance when installing its
+    own (deprecation-emitting) ``C.__init__``).
+
+    Parameters are the same as for `warn_deprecated`, except that *obj_type*
+    defaults to 'class' if decorating a class, 'attribute' if decorating a
+    property, and 'function' otherwise.
+
+    Examples
+    --------
+    ::
+
+        @deprecated('1.4.0')
+        def the_function_to_deprecate():
+            pass
+    """
+
+    def deprecate(obj, message=message, name=name, alternative=alternative,
+                  pending=pending, obj_type=obj_type, addendum=addendum):
+        from matplotlib._api import classproperty
+
+        if isinstance(obj, type):
+            if obj_type is None:
+                obj_type = "class"
+            func = obj.__init__
+            name = name or obj.__name__
+            old_doc = obj.__doc__
+
+            def finalize(wrapper, new_doc):
+                try:
+                    obj.__doc__ = new_doc
+                except AttributeError:  # Can't set on some extension objects.
+                    pass
+                obj.__init__ = functools.wraps(obj.__init__)(wrapper)
+                return obj
+
+        elif isinstance(obj, (property, classproperty)):
+            if obj_type is None:
+                obj_type = "attribute"
+            func = None
+            name = name or obj.fget.__name__
+            old_doc = obj.__doc__
+
+            class _deprecated_property(type(obj)):
+                def __get__(self, instance, owner=None):
+                    if instance is not None or owner is not None \
+                            and isinstance(self, classproperty):
+                        emit_warning()
+                    return super().__get__(instance, owner)
+
+                def __set__(self, instance, value):
+                    if instance is not None:
+                        emit_warning()
+                    return super().__set__(instance, value)
+
+                def __delete__(self, instance):
+                    if instance is not None:
+                        emit_warning()
+                    return super().__delete__(instance)
+
+                def __set_name__(self, owner, set_name):
+                    nonlocal name
+                    if name == "<lambda>":
+                        name = set_name
+
+            def finalize(_, new_doc):
+                return _deprecated_property(
+                    fget=obj.fget, fset=obj.fset, fdel=obj.fdel, doc=new_doc)
+
+        else:
+            if obj_type is None:
+                obj_type = "function"
+            func = obj
+            name = name or obj.__name__
+            old_doc = func.__doc__
+
+            def finalize(wrapper, new_doc):
+                wrapper = functools.wraps(func)(wrapper)
+                wrapper.__doc__ = new_doc
+                return wrapper
+
+        def emit_warning():
+            warn_deprecated(
+                since, message=message, name=name, alternative=alternative,
+                pending=pending, obj_type=obj_type, addendum=addendum,
+                removal=removal)
+
+        def wrapper(*args, **kwargs):
+            emit_warning()
+            return func(*args, **kwargs)
+
+        old_doc = inspect.cleandoc(old_doc or '').strip('\n')
+
+        notes_header = '\nNotes\n-----'
+        second_arg = ' '.join([t.strip() for t in
+                               (message, f"Use {alternative} instead."
+                                if alternative else "", addendum) if t])
+        new_doc = (f"[*Deprecated*] {old_doc}\n"
+                   f"{notes_header if notes_header not in old_doc else ''}\n"
+                   f".. deprecated:: {since}\n"
+                   f"   {second_arg}")
+
+        if not old_doc:
+            # This is to prevent a spurious 'unexpected unindent' warning from
+            # docutils when the original docstring was blank.
+            new_doc += r'\ '
+
+        return finalize(wrapper, new_doc)
+
+    return deprecate
+
+
+class deprecate_privatize_attribute:
+    """
+    Helper to deprecate public access to an attribute (or method).
+
+    This helper should only be used at class scope, as follows::
+
+        class Foo:
+            attr = _deprecate_privatize_attribute(*args, **kwargs)
+
+    where *all* parameters are forwarded to `deprecated`.  This form makes
+    ``attr`` a property which forwards read and write access to ``self._attr``
+    (same name but with a leading underscore), with a deprecation warning.
+    Note that the attribute name is derived from *the name this helper is
+    assigned to*.  This helper also works for deprecating methods.
+    """
+
+    def __init__(self, *args, **kwargs):
+        self.deprecator = deprecated(*args, **kwargs)
+
+    def __set_name__(self, owner, name):
+        setattr(owner, name, self.deprecator(
+            property(lambda self: getattr(self, f"_{name}"),
+                     lambda self, value: setattr(self, f"_{name}", value)),
+            name=name))
+
+
+# Used by _copy_docstring_and_deprecators to redecorate pyplot wrappers and
+# boilerplate.py to retrieve original signatures.  It may seem natural to store
+# this information as an attribute on the wrapper, but if the wrapper gets
+# itself functools.wraps()ed, then such attributes are silently propagated to
+# the outer wrapper, which is not desired.
+DECORATORS = {}
+
+
+def rename_parameter(since, old, new, func=None):
+    """
+    Decorator indicating that parameter *old* of *func* is renamed to *new*.
+
+    The actual implementation of *func* should use *new*, not *old*.  If *old*
+    is passed to *func*, a DeprecationWarning is emitted, and its value is
+    used, even if *new* is also passed by keyword (this is to simplify pyplot
+    wrapper functions, which always pass *new* explicitly to the Axes method).
+    If *new* is also passed but positionally, a TypeError will be raised by the
+    underlying function during argument binding.
+
+    Examples
+    --------
+    ::
+
+        @_api.rename_parameter("3.1", "bad_name", "good_name")
+        def func(good_name): ...
+    """
+
+    decorator = functools.partial(rename_parameter, since, old, new)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    assert old not in signature.parameters, (
+        f"Matplotlib internal error: {old!r} cannot be a parameter for "
+        f"{func.__name__}()")
+    assert new in signature.parameters, (
+        f"Matplotlib internal error: {new!r} must be a parameter for "
+        f"{func.__name__}()")
+
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        if old in kwargs:
+            warn_deprecated(
+                since, message=f"The {old!r} parameter of {func.__name__}() "
+                f"has been renamed {new!r} since Matplotlib {since}; support "
+                f"for the old name will be dropped in %(removal)s.")
+            kwargs[new] = kwargs.pop(old)
+        return func(*args, **kwargs)
+
+    # wrapper() must keep the same documented signature as func(): if we
+    # instead made both *old* and *new* appear in wrapper()'s signature, they
+    # would both show up in the pyplot function for an Axes method as well and
+    # pyplot would explicitly pass both arguments to the Axes method.
+
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+class _deprecated_parameter_class:
+    def __repr__(self):
+        return "<deprecated parameter>"
+
+
+_deprecated_parameter = _deprecated_parameter_class()
+
+
+def delete_parameter(since, name, func=None, **kwargs):
+    """
+    Decorator indicating that parameter *name* of *func* is being deprecated.
+
+    The actual implementation of *func* should keep the *name* parameter in its
+    signature, or accept a ``**kwargs`` argument (through which *name* would be
+    passed).
+
+    Parameters that come after the deprecated parameter effectively become
+    keyword-only (as they cannot be passed positionally without triggering the
+    DeprecationWarning on the deprecated parameter), and should be marked as
+    such after the deprecation period has passed and the deprecated parameter
+    is removed.
+
+    Parameters other than *since*, *name*, and *func* are keyword-only and
+    forwarded to `.warn_deprecated`.
+
+    Examples
+    --------
+    ::
+
+        @_api.delete_parameter("3.1", "unused")
+        def func(used_arg, other_arg, unused, more_args): ...
+    """
+
+    decorator = functools.partial(delete_parameter, since, name, **kwargs)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    # Name of `**kwargs` parameter of the decorated function, typically
+    # "kwargs" if such a parameter exists, or None if the decorated function
+    # doesn't accept `**kwargs`.
+    kwargs_name = next((param.name for param in signature.parameters.values()
+                        if param.kind == inspect.Parameter.VAR_KEYWORD), None)
+    if name in signature.parameters:
+        kind = signature.parameters[name].kind
+        is_varargs = kind is inspect.Parameter.VAR_POSITIONAL
+        is_varkwargs = kind is inspect.Parameter.VAR_KEYWORD
+        if not is_varargs and not is_varkwargs:
+            name_idx = (
+                # Deprecated parameter can't be passed positionally.
+                math.inf if kind is inspect.Parameter.KEYWORD_ONLY
+                # If call site has no more than this number of parameters, the
+                # deprecated parameter can't have been passed positionally.
+                else [*signature.parameters].index(name))
+            func.__signature__ = signature = signature.replace(parameters=[
+                param.replace(default=_deprecated_parameter)
+                if param.name == name else param
+                for param in signature.parameters.values()])
+        else:
+            name_idx = -1  # Deprecated parameter can always have been passed.
+    else:
+        is_varargs = is_varkwargs = False
+        # Deprecated parameter can't be passed positionally.
+        name_idx = math.inf
+        assert kwargs_name, (
+            f"Matplotlib internal error: {name!r} must be a parameter for "
+            f"{func.__name__}()")
+
+    addendum = kwargs.pop('addendum', None)
+
+    @functools.wraps(func)
+    def wrapper(*inner_args, **inner_kwargs):
+        if len(inner_args) <= name_idx and name not in inner_kwargs:
+            # Early return in the simple, non-deprecated case (much faster than
+            # calling bind()).
+            return func(*inner_args, **inner_kwargs)
+        arguments = signature.bind(*inner_args, **inner_kwargs).arguments
+        if is_varargs and arguments.get(name):
+            warn_deprecated(
+                since, message=f"Additional positional arguments to "
+                f"{func.__name__}() are deprecated since %(since)s and "
+                f"support for them will be removed in %(removal)s.")
+        elif is_varkwargs and arguments.get(name):
+            warn_deprecated(
+                since, message=f"Additional keyword arguments to "
+                f"{func.__name__}() are deprecated since %(since)s and "
+                f"support for them will be removed in %(removal)s.")
+        # We cannot just check `name not in arguments` because the pyplot
+        # wrappers always pass all arguments explicitly.
+        elif any(name in d and d[name] != _deprecated_parameter
+                 for d in [arguments, arguments.get(kwargs_name, {})]):
+            deprecation_addendum = (
+                f"If any parameter follows {name!r}, they should be passed as "
+                f"keyword, not positionally.")
+            warn_deprecated(
+                since,
+                name=repr(name),
+                obj_type=f"parameter of {func.__name__}()",
+                addendum=(addendum + " " + deprecation_addendum) if addendum
+                         else deprecation_addendum,
+                **kwargs)
+        return func(*inner_args, **inner_kwargs)
+
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+def make_keyword_only(since, name, func=None):
+    """
+    Decorator indicating that passing parameter *name* (or any of the following
+    ones) positionally to *func* is being deprecated.
+
+    When used on a method that has a pyplot wrapper, this should be the
+    outermost decorator, so that :file:`boilerplate.py` can access the original
+    signature.
+    """
+
+    decorator = functools.partial(make_keyword_only, since, name)
+
+    if func is None:
+        return decorator
+
+    signature = inspect.signature(func)
+    POK = inspect.Parameter.POSITIONAL_OR_KEYWORD
+    KWO = inspect.Parameter.KEYWORD_ONLY
+    assert (name in signature.parameters
+            and signature.parameters[name].kind == POK), (
+        f"Matplotlib internal error: {name!r} must be a positional-or-keyword "
+        f"parameter for {func.__name__}(). If this error happens on a function with a "
+        f"pyplot wrapper, make sure make_keyword_only() is the outermost decorator.")
+    names = [*signature.parameters]
+    name_idx = names.index(name)
+    kwonly = [name for name in names[name_idx:]
+              if signature.parameters[name].kind == POK]
+
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        # Don't use signature.bind here, as it would fail when stacked with
+        # rename_parameter and an "old" argument name is passed in
+        # (signature.bind would fail, but the actual call would succeed).
+        if len(args) > name_idx:
+            warn_deprecated(
+                since, message="Passing the %(name)s %(obj_type)s "
+                "positionally is deprecated since Matplotlib %(since)s; the "
+                "parameter will become keyword-only in %(removal)s.",
+                name=name, obj_type=f"parameter of {func.__name__}()")
+        return func(*args, **kwargs)
+
+    # Don't modify *func*'s signature, as boilerplate.py needs it.
+    wrapper.__signature__ = signature.replace(parameters=[
+        param.replace(kind=KWO) if param.name in kwonly else param
+        for param in signature.parameters.values()])
+    DECORATORS[wrapper] = decorator
+    return wrapper
+
+
+def deprecate_method_override(method, obj, *, allow_empty=False, **kwargs):
+    """
+    Return ``obj.method`` with a deprecation if it was overridden, else None.
+
+    Parameters
+    ----------
+    method
+        An unbound method, i.e. an expression of the form
+        ``Class.method_name``.  Remember that within the body of a method, one
+        can always use ``__class__`` to refer to the class that is currently
+        being defined.
+    obj
+        Either an object of the class where *method* is defined, or a subclass
+        of that class.
+    allow_empty : bool, default: False
+        Whether to allow overrides by "empty" methods without emitting a
+        warning.
+    **kwargs
+        Additional parameters passed to `warn_deprecated` to generate the
+        deprecation warning; must at least include the "since" key.
+    """
+
+    def empty(): pass
+    def empty_with_docstring(): """doc"""
+
+    name = method.__name__
+    bound_child = getattr(obj, name)
+    bound_base = (
+        method  # If obj is a class, then we need to use unbound methods.
+        if isinstance(bound_child, type(empty)) and isinstance(obj, type)
+        else method.__get__(obj))
+    if (bound_child != bound_base
+            and (not allow_empty
+                 or (getattr(getattr(bound_child, "__code__", None),
+                             "co_code", None)
+                     not in [empty.__code__.co_code,
+                             empty_with_docstring.__code__.co_code]))):
+        warn_deprecated(**{"name": name, "obj_type": "method", **kwargs})
+        return bound_child
+    return None
+
+
+@contextlib.contextmanager
+def suppress_matplotlib_deprecation_warning():
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", MatplotlibDeprecationWarning)
+        yield
diff --git a/lib/matplotlib/_api/deprecation.pyi b/lib/matplotlib/_api/deprecation.pyi
new file mode 100644
index 000000000000..e050290662d9
--- /dev/null
+++ b/lib/matplotlib/_api/deprecation.pyi
@@ -0,0 +1,75 @@
+from collections.abc import Callable
+import contextlib
+from typing import Any, Literal, ParamSpec, TypedDict, TypeVar, overload
+from typing_extensions import (
+    Unpack,  # < Py 3.11
+)
+
+_P = ParamSpec("_P")
+_R = TypeVar("_R")
+_T = TypeVar("_T")
+
+class MatplotlibDeprecationWarning(DeprecationWarning): ...
+
+class DeprecationKwargs(TypedDict, total=False):
+    message: str
+    alternative: str
+    pending: bool
+    obj_type: str
+    addendum: str
+    removal: str | Literal[False]
+
+class NamedDeprecationKwargs(DeprecationKwargs, total=False):
+    name: str
+
+def warn_deprecated(since: str, **kwargs: Unpack[NamedDeprecationKwargs]) -> None: ...
+def deprecated(
+    since: str, **kwargs: Unpack[NamedDeprecationKwargs]
+) -> Callable[[_T], _T]: ...
+
+class deprecate_privatize_attribute(Any):
+    def __init__(self, since: str, **kwargs: Unpack[NamedDeprecationKwargs]): ...
+    def __set_name__(self, owner: type[object], name: str) -> None: ...
+
+DECORATORS: dict[Callable, Callable] = ...
+
+@overload
+def rename_parameter(
+    since: str, old: str, new: str, func: None = ...
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def rename_parameter(
+    since: str, old: str, new: str, func: Callable[_P, _R]
+) -> Callable[_P, _R]: ...
+
+class _deprecated_parameter_class: ...
+
+_deprecated_parameter: _deprecated_parameter_class
+
+@overload
+def delete_parameter(
+    since: str, name: str, func: None = ..., **kwargs: Unpack[DeprecationKwargs]
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def delete_parameter(
+    since: str, name: str, func: Callable[_P, _R], **kwargs: Unpack[DeprecationKwargs]
+) -> Callable[_P, _R]: ...
+@overload
+def make_keyword_only(
+    since: str, name: str, func: None = ...
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+@overload
+def make_keyword_only(
+    since: str, name: str, func: Callable[_P, _R]
+) -> Callable[_P, _R]: ...
+def deprecate_method_override(
+    method: Callable[_P, _R],
+    obj: object | type,
+    *,
+    allow_empty: bool = ...,
+    since: str,
+    **kwargs: Unpack[NamedDeprecationKwargs]
+) -> Callable[_P, _R]: ...
+def suppress_matplotlib_deprecation_warning() -> (
+    contextlib.AbstractContextManager[None]
+): ...
diff --git a/lib/matplotlib/_api/meson.build b/lib/matplotlib/_api/meson.build
new file mode 100644
index 000000000000..57aa234ab878
--- /dev/null
+++ b/lib/matplotlib/_api/meson.build
@@ -0,0 +1,12 @@
+python_sources = [
+  '__init__.py',
+  'deprecation.py',
+]
+
+typing_sources = [
+  '__init__.pyi',
+  'deprecation.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/_api')
diff --git a/lib/matplotlib/_blocking_input.py b/lib/matplotlib/_blocking_input.py
new file mode 100644
index 000000000000..45f077571443
--- /dev/null
+++ b/lib/matplotlib/_blocking_input.py
@@ -0,0 +1,30 @@
+def blocking_input_loop(figure, event_names, timeout, handler):
+    """
+    Run *figure*'s event loop while listening to interactive events.
+
+    The events listed in *event_names* are passed to *handler*.
+
+    This function is used to implement `.Figure.waitforbuttonpress`,
+    `.Figure.ginput`, and `.Axes.clabel`.
+
+    Parameters
+    ----------
+    figure : `~matplotlib.figure.Figure`
+    event_names : list of str
+        The names of the events passed to *handler*.
+    timeout : float
+        If positive, the event loop is stopped after *timeout* seconds.
+    handler : Callable[[Event], Any]
+        Function called for each event; it can force an early exit of the event
+        loop by calling ``canvas.stop_event_loop()``.
+    """
+    if figure.canvas.manager:
+        figure.show()  # Ensure that the figure is shown if we are managing it.
+    # Connect the events to the on_event function call.
+    cids = [figure.canvas.mpl_connect(name, handler) for name in event_names]
+    try:
+        figure.canvas.start_event_loop(timeout)  # Start event loop.
+    finally:  # Run even on exception like ctrl-c.
+        # Disconnect the callbacks.
+        for cid in cids:
+            figure.canvas.mpl_disconnect(cid)
diff --git a/lib/matplotlib/_c_internal_utils.pyi b/lib/matplotlib/_c_internal_utils.pyi
new file mode 100644
index 000000000000..ccc172cde27a
--- /dev/null
+++ b/lib/matplotlib/_c_internal_utils.pyi
@@ -0,0 +1,8 @@
+def display_is_valid() -> bool: ...
+def xdisplay_is_valid() -> bool: ...
+
+def Win32_GetForegroundWindow() -> int | None: ...
+def Win32_SetForegroundWindow(hwnd: int) -> None: ...
+def Win32_SetProcessDpiAwareness_max() -> None: ...
+def Win32_SetCurrentProcessExplicitAppUserModelID(appid: str) -> None: ...
+def Win32_GetCurrentProcessExplicitAppUserModelID() -> str | None: ...
diff --git a/lib/matplotlib/_cm.py b/lib/matplotlib/_cm.py
index 7624b8a88bab..d3f4632108a8 100644
--- a/lib/matplotlib/_cm.py
+++ b/lib/matplotlib/_cm.py
@@ -2,11 +2,11 @@
 Nothing here but dictionaries for generating LinearSegmentedColormaps,
 and a dictionary of these dictionaries.
 
-Documentation for each is in pyplot.colormaps()
+Documentation for each is in pyplot.colormaps().  Please update this
+with the purpose and type of your colormap if you add data for one here.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from functools import partial
 
 import numpy as np
 
@@ -43,79 +43,65 @@
                 'blue':  ((0., 0., 0.),
                           (1.0, 0.4975, 0.4975))}
 
-_flag_data = {
-        'red': lambda x: 0.75 * np.sin((x * 31.5 + 0.25) * np.pi) + 0.5,
-        'green': lambda x: np.sin(x * 31.5 * np.pi),
-        'blue': lambda x: 0.75 * np.sin((x * 31.5 - 0.25) * np.pi) + 0.5,
-}
-
-_prism_data = {
-        'red': lambda x: 0.75 * np.sin((x * 20.9 + 0.25) * np.pi) + 0.67,
-        'green': lambda x: 0.75 * np.sin((x * 20.9 - 0.25) * np.pi) + 0.33,
-        'blue': lambda x: -1.1 * np.sin((x * 20.9) * np.pi),
-}
-
+def _flag_red(x): return 0.75 * np.sin((x * 31.5 + 0.25) * np.pi) + 0.5
+def _flag_green(x): return np.sin(x * 31.5 * np.pi)
+def _flag_blue(x): return 0.75 * np.sin((x * 31.5 - 0.25) * np.pi) + 0.5
+_flag_data = {'red': _flag_red, 'green': _flag_green, 'blue': _flag_blue}
+
+def _prism_red(x): return 0.75 * np.sin((x * 20.9 + 0.25) * np.pi) + 0.67
+def _prism_green(x): return 0.75 * np.sin((x * 20.9 - 0.25) * np.pi) + 0.33
+def _prism_blue(x): return -1.1 * np.sin((x * 20.9) * np.pi)
+_prism_data = {'red': _prism_red, 'green': _prism_green, 'blue': _prism_blue}
+
+def _ch_helper(gamma, s, r, h, p0, p1, x):
+    """Helper function for generating picklable cubehelix colormaps."""
+    # Apply gamma factor to emphasise low or high intensity values
+    xg = x ** gamma
+    # Calculate amplitude and angle of deviation from the black to white
+    # diagonal in the plane of constant perceived intensity.
+    a = h * xg * (1 - xg) / 2
+    phi = 2 * np.pi * (s / 3 + r * x)
+    return xg + a * (p0 * np.cos(phi) + p1 * np.sin(phi))
 
 def cubehelix(gamma=1.0, s=0.5, r=-1.5, h=1.0):
-    """Return custom data dictionary of (r,g,b) conversion functions, which
-    can be used with :func:`register_cmap`, for the cubehelix color scheme.
+    """
+    Return custom data dictionary of (r, g, b) conversion functions, which can
+    be used with `.ColormapRegistry.register`, for the cubehelix color scheme.
 
     Unlike most other color schemes cubehelix was designed by D.A. Green to
     be monotonically increasing in terms of perceived brightness.
     Also, when printed on a black and white postscript printer, the scheme
     results in a greyscale with monotonically increasing brightness.
-    This color scheme is named cubehelix because the r,g,b values produced
+    This color scheme is named cubehelix because the (r, g, b) values produced
     can be visualised as a squashed helix around the diagonal in the
-    r,g,b color cube.
+    (r, g, b) color cube.
 
-    For a unit color cube (i.e. 3-D coordinates for r,g,b each in the
-    range 0 to 1) the color scheme starts at (r,g,b) = (0,0,0), i.e. black,
-    and finishes at (r,g,b) = (1,1,1), i.e. white. For some fraction *x*,
+    For a unit color cube (i.e. 3D coordinates for (r, g, b) each in the
+    range 0 to 1) the color scheme starts at (r, g, b) = (0, 0, 0), i.e. black,
+    and finishes at (r, g, b) = (1, 1, 1), i.e. white. For some fraction *x*,
     between 0 and 1, the color is the corresponding grey value at that
-    fraction along the black to white diagonal (x,x,x) plus a color
+    fraction along the black to white diagonal (x, x, x) plus a color
     element. This color element is calculated in a plane of constant
     perceived intensity and controlled by the following parameters.
 
-    Optional keyword arguments:
-
-      =========   =======================================================
-      Keyword     Description
-      =========   =======================================================
-      gamma       gamma factor to emphasise either low intensity values
-                  (gamma < 1), or high intensity values (gamma > 1);
-                  defaults to 1.0.
-      s           the start color; defaults to 0.5 (i.e. purple).
-      r           the number of r,g,b rotations in color that are made
-                  from the start to the end of the color scheme; defaults
-                  to -1.5 (i.e. -> B -> G -> R -> B).
-      h           the hue parameter which controls how saturated the
-                  colors are. If this parameter is zero then the color
-                  scheme is purely a greyscale; defaults to 1.0.
-      =========   =======================================================
-
+    Parameters
+    ----------
+    gamma : float, default: 1
+        Gamma factor emphasizing either low intensity values (gamma < 1), or
+        high intensity values (gamma > 1).
+    s : float, default: 0.5 (purple)
+        The starting color.
+    r : float, default: -1.5
+        The number of r, g, b rotations in color that are made from the start
+        to the end of the color scheme.  The default of -1.5 corresponds to ->
+        B -> G -> R -> B.
+    h : float, default: 1
+        The hue, i.e. how saturated the colors are. If this parameter is zero
+        then the color scheme is purely a greyscale.
     """
-
-    def get_color_function(p0, p1):
-
-        def color(x):
-            # Apply gamma factor to emphasise low or high intensity values
-            xg = x ** gamma
-
-            # Calculate amplitude and angle of deviation from the black
-            # to white diagonal in the plane of constant
-            # perceived intensity.
-            a = h * xg * (1 - xg) / 2
-
-            phi = 2 * np.pi * (s / 3 + r * x)
-
-            return xg + a * (p0 * np.cos(phi) + p1 * np.sin(phi))
-        return color
-
-    return {
-            'red': get_color_function(-0.14861, 1.78277),
-            'green': get_color_function(-0.29227, -0.90649),
-            'blue': get_color_function(1.97294, 0.0),
-    }
+    return {'red': partial(_ch_helper, gamma, s, r, h, -0.14861, 1.78277),
+            'green': partial(_ch_helper, gamma, s, r, h, -0.29227, -0.90649),
+            'blue': partial(_ch_helper, gamma, s, r, h, 1.97294, 0.0)}
 
 _cubehelix_data = cubehelix()
 
@@ -123,48 +109,39 @@ def color(x):
 _brg_data = ((0.0, 0.0, 1.0), (1.0, 0.0, 0.0), (0.0, 1.0, 0.0))
 
 # Gnuplot palette functions
-gfunc = {
-        0: lambda x: 0,
-        1: lambda x: 0.5,
-        2: lambda x: 1,
-        3: lambda x: x,
-        4: lambda x: x ** 2,
-        5: lambda x: x ** 3,
-        6: lambda x: x ** 4,
-        7: lambda x: np.sqrt(x),
-        8: lambda x: np.sqrt(np.sqrt(x)),
-        9: lambda x: np.sin(x * np.pi / 2),
-        10: lambda x: np.cos(x * np.pi / 2),
-        11: lambda x: np.abs(x - 0.5),
-        12: lambda x: (2 * x - 1) ** 2,
-        13: lambda x: np.sin(x * np.pi),
-        14: lambda x: np.abs(np.cos(x * np.pi)),
-        15: lambda x: np.sin(x * 2 * np.pi),
-        16: lambda x: np.cos(x * 2 * np.pi),
-        17: lambda x: np.abs(np.sin(x * 2 * np.pi)),
-        18: lambda x: np.abs(np.cos(x * 2 * np.pi)),
-        19: lambda x: np.abs(np.sin(x * 4 * np.pi)),
-        20: lambda x: np.abs(np.cos(x * 4 * np.pi)),
-        21: lambda x: 3 * x,
-        22: lambda x: 3 * x - 1,
-        23: lambda x: 3 * x - 2,
-        24: lambda x: np.abs(3 * x - 1),
-        25: lambda x: np.abs(3 * x - 2),
-        26: lambda x: (3 * x - 1) / 2,
-        27: lambda x: (3 * x - 2) / 2,
-        28: lambda x: np.abs((3 * x - 1) / 2),
-        29: lambda x: np.abs((3 * x - 2) / 2),
-        30: lambda x: x / 0.32 - 0.78125,
-        31: lambda x: 2 * x - 0.84,
-        32: lambda x: gfunc32(x),
-        33: lambda x: np.abs(2 * x - 0.5),
-        34: lambda x: 2 * x,
-        35: lambda x: 2 * x - 0.5,
-        36: lambda x: 2 * x - 1.
-}
-
-
-def gfunc32(x):
+def _g0(x): return 0
+def _g1(x): return 0.5
+def _g2(x): return 1
+def _g3(x): return x
+def _g4(x): return x ** 2
+def _g5(x): return x ** 3
+def _g6(x): return x ** 4
+def _g7(x): return np.sqrt(x)
+def _g8(x): return np.sqrt(np.sqrt(x))
+def _g9(x): return np.sin(x * np.pi / 2)
+def _g10(x): return np.cos(x * np.pi / 2)
+def _g11(x): return np.abs(x - 0.5)
+def _g12(x): return (2 * x - 1) ** 2
+def _g13(x): return np.sin(x * np.pi)
+def _g14(x): return np.abs(np.cos(x * np.pi))
+def _g15(x): return np.sin(x * 2 * np.pi)
+def _g16(x): return np.cos(x * 2 * np.pi)
+def _g17(x): return np.abs(np.sin(x * 2 * np.pi))
+def _g18(x): return np.abs(np.cos(x * 2 * np.pi))
+def _g19(x): return np.abs(np.sin(x * 4 * np.pi))
+def _g20(x): return np.abs(np.cos(x * 4 * np.pi))
+def _g21(x): return 3 * x
+def _g22(x): return 3 * x - 1
+def _g23(x): return 3 * x - 2
+def _g24(x): return np.abs(3 * x - 1)
+def _g25(x): return np.abs(3 * x - 2)
+def _g26(x): return (3 * x - 1) / 2
+def _g27(x): return (3 * x - 2) / 2
+def _g28(x): return np.abs((3 * x - 1) / 2)
+def _g29(x): return np.abs((3 * x - 2) / 2)
+def _g30(x): return x / 0.32 - 0.78125
+def _g31(x): return 2 * x - 0.84
+def _g32(x):
     ret = np.zeros(len(x))
     m = (x < 0.25)
     ret[m] = 4 * x[m]
@@ -173,6 +150,12 @@ def gfunc32(x):
     m = (x >= 0.92)
     ret[m] = x[m] / 0.08 - 11.5
     return ret
+def _g33(x): return np.abs(2 * x - 0.5)
+def _g34(x): return 2 * x
+def _g35(x): return 2 * x - 0.5
+def _g36(x): return 2 * x - 1
+
+gfunc = {i: globals()[f"_g{i}"] for i in range(37)}
 
 _gnuplot_data = {
         'red': gfunc[7],
@@ -257,12 +240,22 @@ def gfunc32(x):
                        (0.857143, 0.937500, 0.937500),
                        (1.0, 0.09375, 0.09375))}
 
-_jet_data = {'red':   ((0., 0, 0), (0.35, 0, 0), (0.66, 1, 1), (0.89, 1, 1),
-                         (1, 0.5, 0.5)),
-             'green': ((0., 0, 0), (0.125, 0, 0), (0.375, 1, 1), (0.64, 1, 1),
-                         (0.91, 0, 0), (1, 0, 0)),
-             'blue':  ((0., 0.5, 0.5), (0.11, 1, 1), (0.34, 1, 1),
-                         (0.65, 0, 0), (1, 0, 0))}
+_jet_data = {'red':   ((0.00, 0, 0),
+                       (0.35, 0, 0),
+                       (0.66, 1, 1),
+                       (0.89, 1, 1),
+                       (1.00, 0.5, 0.5)),
+             'green': ((0.000, 0, 0),
+                       (0.125, 0, 0),
+                       (0.375, 1, 1),
+                       (0.640, 1, 1),
+                       (0.910, 0, 0),
+                       (1.000, 0, 0)),
+             'blue':  ((0.00, 0.5, 0.5),
+                       (0.11, 1, 1),
+                       (0.34, 1, 1),
+                       (0.65, 0, 0),
+                       (1.00, 0, 0))}
 
 _pink_data = {'red':   ((0., 0.1178, 0.1178), (0.015873, 0.195857, 0.195857),
                         (0.031746, 0.250661, 0.250661),
@@ -466,1140 +459,503 @@ def gfunc32(x):
                 'blue':  ((0., 1., 1.), (1.0, 0.5, 0.5))}
 
 _nipy_spectral_data = {
-      'red': [(0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667),
-              (0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0),
-              (0.20, 0.0, 0.0), (0.25, 0.0, 0.0),
-              (0.30, 0.0, 0.0), (0.35, 0.0, 0.0),
-              (0.40, 0.0, 0.0), (0.45, 0.0, 0.0),
-              (0.50, 0.0, 0.0), (0.55, 0.0, 0.0),
-              (0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333),
-              (0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0),
-              (0.80, 1.0, 1.0), (0.85, 1.0, 1.0),
-              (0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80),
-              (1.0, 0.80, 0.80)],
-    'green': [(0.0, 0.0, 0.0), (0.05, 0.0, 0.0),
-              (0.10, 0.0, 0.0), (0.15, 0.0, 0.0),
-              (0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667),
-              (0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667),
-              (0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000),
-              (0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667),
-              (0.60, 1.0, 1.0), (0.65, 1.0, 1.0),
-              (0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000),
-              (0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0),
-              (0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
-              (1.0, 0.80, 0.80)],
-     'blue': [(0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333),
-              (0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667),
-              (0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667),
-              (0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667),
-              (0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0),
-              (0.5, 0.0, 0.0), (0.55, 0.0, 0.0),
-              (0.60, 0.0, 0.0), (0.65, 0.0, 0.0),
-              (0.70, 0.0, 0.0), (0.75, 0.0, 0.0),
-              (0.80, 0.0, 0.0), (0.85, 0.0, 0.0),
-              (0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
-              (1.0, 0.80, 0.80)],
+    'red': [
+        (0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667),
+        (0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0),
+        (0.20, 0.0, 0.0), (0.25, 0.0, 0.0),
+        (0.30, 0.0, 0.0), (0.35, 0.0, 0.0),
+        (0.40, 0.0, 0.0), (0.45, 0.0, 0.0),
+        (0.50, 0.0, 0.0), (0.55, 0.0, 0.0),
+        (0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333),
+        (0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0),
+        (0.80, 1.0, 1.0), (0.85, 1.0, 1.0),
+        (0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80),
+        (1.0, 0.80, 0.80),
+    ],
+    'green': [
+        (0.0, 0.0, 0.0), (0.05, 0.0, 0.0),
+        (0.10, 0.0, 0.0), (0.15, 0.0, 0.0),
+        (0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667),
+        (0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667),
+        (0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000),
+        (0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667),
+        (0.60, 1.0, 1.0), (0.65, 1.0, 1.0),
+        (0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000),
+        (0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0),
+        (0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
+        (1.0, 0.80, 0.80),
+    ],
+    'blue': [
+        (0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333),
+        (0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667),
+        (0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667),
+        (0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667),
+        (0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0),
+        (0.5, 0.0, 0.0), (0.55, 0.0, 0.0),
+        (0.60, 0.0, 0.0), (0.65, 0.0, 0.0),
+        (0.70, 0.0, 0.0), (0.75, 0.0, 0.0),
+        (0.80, 0.0, 0.0), (0.85, 0.0, 0.0),
+        (0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
+        (1.0, 0.80, 0.80),
+    ],
 }
 
 
 # 34 colormaps based on color specifications and designs
-# developed by Cynthia Brewer (http://colorbrewer.org).
+# developed by Cynthia Brewer (https://colorbrewer2.org/).
 # The ColorBrewer palettes have been included under the terms
 # of an Apache-stype license (for details, see the file
 # LICENSE_COLORBREWER in the license directory of the matplotlib
 # source distribution).
 
-_Accent_data = {'blue': [(0.0, 0.49803921580314636,
-0.49803921580314636), (0.14285714285714285, 0.83137255907058716,
-0.83137255907058716), (0.2857142857142857, 0.52549022436141968,
-0.52549022436141968), (0.42857142857142855, 0.60000002384185791,
-0.60000002384185791), (0.5714285714285714, 0.69019609689712524,
-0.69019609689712524), (0.7142857142857143, 0.49803921580314636,
-0.49803921580314636), (0.8571428571428571, 0.090196080505847931,
-0.090196080505847931), (1.0, 0.40000000596046448,
-0.40000000596046448)],
-
-    'green': [(0.0, 0.78823530673980713, 0.78823530673980713),
-    (0.14285714285714285, 0.68235296010971069, 0.68235296010971069),
-    (0.2857142857142857, 0.75294119119644165, 0.75294119119644165),
-    (0.42857142857142855, 1.0, 1.0), (0.5714285714285714,
-    0.42352941632270813, 0.42352941632270813), (0.7142857142857143,
-    0.0078431377187371254, 0.0078431377187371254),
-    (0.8571428571428571, 0.35686275362968445, 0.35686275362968445),
-    (1.0, 0.40000000596046448, 0.40000000596046448)],
-
-    'red': [(0.0, 0.49803921580314636, 0.49803921580314636),
-    (0.14285714285714285, 0.7450980544090271, 0.7450980544090271),
-    (0.2857142857142857, 0.99215686321258545, 0.99215686321258545),
-    (0.42857142857142855, 1.0, 1.0), (0.5714285714285714,
-    0.21960784494876862, 0.21960784494876862), (0.7142857142857143,
-    0.94117647409439087, 0.94117647409439087), (0.8571428571428571,
-    0.74901962280273438, 0.74901962280273438), (1.0,
-    0.40000000596046448, 0.40000000596046448)]}
-
-_Blues_data = {'blue': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
-0.9686274528503418), (0.25, 0.93725490570068359, 0.93725490570068359),
-(0.375, 0.88235294818878174, 0.88235294818878174), (0.5,
-0.83921569585800171, 0.83921569585800171), (0.625, 0.7764706015586853,
-0.7764706015586853), (0.75, 0.70980393886566162, 0.70980393886566162),
-(0.875, 0.61176472902297974, 0.61176472902297974), (1.0,
-0.41960784792900085, 0.41960784792900085)],
-
-    'green': [(0.0, 0.9843137264251709, 0.9843137264251709), (0.125,
-    0.92156863212585449, 0.92156863212585449), (0.25,
-    0.85882353782653809, 0.85882353782653809), (0.375,
-    0.7921568751335144, 0.7921568751335144), (0.5,
-    0.68235296010971069, 0.68235296010971069), (0.625,
-    0.57254904508590698, 0.57254904508590698), (0.75,
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-0.44705882668495178), (0.36363636363636365, 0.82745099067687988,
-0.82745099067687988), (0.45454545454545453, 0.38431373238563538,
-0.38431373238563538), (0.54545454545454541, 0.4117647111415863,
-0.4117647111415863), (0.63636363636363635, 0.89803922176361084,
-0.89803922176361084), (0.72727272727272729, 0.85098040103912354,
-0.85098040103912354), (0.81818181818181823, 0.74117648601531982,
-0.74117648601531982), (0.90909090909090906, 0.77254903316497803,
-0.77254903316497803), (1.0, 0.43529412150382996,
-0.43529412150382996)],
-
-    'green': [(0.0, 0.82745099067687988, 0.82745099067687988),
-    (0.090909090909090912, 1.0, 1.0), (0.18181818181818182,
-    0.729411780834198, 0.729411780834198), (0.27272727272727271,
-    0.50196081399917603, 0.50196081399917603), (0.36363636363636365,
-    0.69411766529083252, 0.69411766529083252), (0.45454545454545453,
-    0.70588237047195435, 0.70588237047195435), (0.54545454545454541,
-    0.87058824300765991, 0.87058824300765991), (0.63636363636363635,
-    0.80392158031463623, 0.80392158031463623), (0.72727272727272729,
-    0.85098040103912354, 0.85098040103912354), (0.81818181818181823,
-    0.50196081399917603, 0.50196081399917603), (0.90909090909090906,
-    0.92156863212585449, 0.92156863212585449), (1.0,
-    0.92941176891326904, 0.92941176891326904)],
-
-    'red': [(0.0, 0.55294120311737061, 0.55294120311737061),
-    (0.090909090909090912, 1.0, 1.0), (0.18181818181818182,
-    0.7450980544090271, 0.7450980544090271), (0.27272727272727271,
-    0.9843137264251709, 0.9843137264251709), (0.36363636363636365,
-    0.50196081399917603, 0.50196081399917603), (0.45454545454545453,
-    0.99215686321258545, 0.99215686321258545), (0.54545454545454541,
-    0.70196080207824707, 0.70196080207824707), (0.63636363636363635,
-    0.98823529481887817, 0.98823529481887817), (0.72727272727272729,
-    0.85098040103912354, 0.85098040103912354), (0.81818181818181823,
-    0.73725491762161255, 0.73725491762161255), (0.90909090909090906,
-    0.80000001192092896, 0.80000001192092896), (1.0, 1.0, 1.0)]}
-
-_Spectral_data = {'blue': [(0.0, 0.25882354378700256,
-0.25882354378700256), (0.10000000000000001, 0.30980393290519714,
-0.30980393290519714), (0.20000000000000001, 0.26274511218070984,
-0.26274511218070984), (0.29999999999999999, 0.3803921639919281,
-0.3803921639919281), (0.40000000000000002, 0.54509806632995605,
-0.54509806632995605), (0.5, 0.74901962280273438, 0.74901962280273438),
-(0.59999999999999998, 0.59607845544815063, 0.59607845544815063),
-(0.69999999999999996, 0.64313727617263794, 0.64313727617263794),
-(0.80000000000000004, 0.64705884456634521, 0.64705884456634521),
-(0.90000000000000002, 0.74117648601531982, 0.74117648601531982), (1.0,
-0.63529413938522339, 0.63529413938522339)],
-
-    'green': [(0.0, 0.0039215688593685627, 0.0039215688593685627),
-    (0.10000000000000001, 0.24313725531101227, 0.24313725531101227),
-    (0.20000000000000001, 0.42745098471641541, 0.42745098471641541),
-    (0.29999999999999999, 0.68235296010971069, 0.68235296010971069),
-    (0.40000000000000002, 0.87843137979507446, 0.87843137979507446),
-    (0.5, 1.0, 1.0), (0.59999999999999998, 0.96078431606292725,
-    0.96078431606292725), (0.69999999999999996, 0.86666667461395264,
-    0.86666667461395264), (0.80000000000000004, 0.7607843279838562,
-    0.7607843279838562), (0.90000000000000002, 0.53333336114883423,
-    0.53333336114883423), (1.0, 0.30980393290519714,
-    0.30980393290519714)],
-
-    'red': [(0.0, 0.61960786581039429, 0.61960786581039429),
-    (0.10000000000000001, 0.83529412746429443, 0.83529412746429443),
-    (0.20000000000000001, 0.95686274766921997, 0.95686274766921997),
-    (0.29999999999999999, 0.99215686321258545, 0.99215686321258545),
-    (0.40000000000000002, 0.99607843160629272, 0.99607843160629272),
-    (0.5, 1.0, 1.0), (0.59999999999999998, 0.90196079015731812,
-    0.90196079015731812), (0.69999999999999996, 0.67058825492858887,
-    0.67058825492858887), (0.80000000000000004, 0.40000000596046448,
-    0.40000000596046448), (0.90000000000000002, 0.19607843458652496,
-    0.19607843458652496), (1.0, 0.36862745881080627,
-    0.36862745881080627)]}
-
-_YlGn_data = {'blue': [(0.0, 0.89803922176361084,
-0.89803922176361084), (0.125, 0.72549021244049072,
-0.72549021244049072), (0.25, 0.63921570777893066,
-0.63921570777893066), (0.375, 0.55686277151107788,
-0.55686277151107788), (0.5, 0.47450980544090271, 0.47450980544090271),
-(0.625, 0.364705890417099, 0.364705890417099), (0.75,
-0.26274511218070984, 0.26274511218070984), (0.875,
-0.21568627655506134, 0.21568627655506134), (1.0, 0.16078431904315948,
-0.16078431904315948)],
-
-    'green': [(0.0, 1.0, 1.0), (0.125, 0.98823529481887817,
-    0.98823529481887817), (0.25, 0.94117647409439087,
-    0.94117647409439087), (0.375, 0.86666667461395264,
-    0.86666667461395264), (0.5, 0.7764706015586853,
-    0.7764706015586853), (0.625, 0.67058825492858887,
-    0.67058825492858887), (0.75, 0.51764708757400513,
-    0.51764708757400513), (0.875, 0.40784314274787903,
-    0.40784314274787903), (1.0, 0.27058824896812439,
-    0.27058824896812439)],
-
-     'red': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
-     0.9686274528503418), (0.25, 0.85098040103912354,
-     0.85098040103912354), (0.375, 0.67843139171600342,
-     0.67843139171600342), (0.5, 0.47058823704719543,
-     0.47058823704719543), (0.625, 0.25490197539329529,
-     0.25490197539329529), (0.75, 0.13725490868091583,
-     0.13725490868091583), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)]}
-
-_YlGnBu_data = {'blue': [(0.0, 0.85098040103912354,
-0.85098040103912354), (0.125, 0.69411766529083252,
-0.69411766529083252), (0.25, 0.70588237047195435,
-0.70588237047195435), (0.375, 0.73333334922790527,
-0.73333334922790527), (0.5, 0.76862746477127075, 0.76862746477127075),
-(0.625, 0.75294119119644165, 0.75294119119644165), (0.75,
-0.65882354974746704, 0.65882354974746704), (0.875,
-0.58039218187332153, 0.58039218187332153), (1.0, 0.34509804844856262,
-0.34509804844856262)],
-
-    'green': [(0.0, 1.0, 1.0), (0.125, 0.97254902124404907,
-    0.97254902124404907), (0.25, 0.91372549533843994,
-    0.91372549533843994), (0.375, 0.80392158031463623,
-    0.80392158031463623), (0.5, 0.7137255072593689,
-    0.7137255072593689), (0.625, 0.56862747669219971,
-    0.56862747669219971), (0.75, 0.36862745881080627,
-    0.36862745881080627), (0.875, 0.20392157137393951,
-    0.20392157137393951), (1.0, 0.11372549086809158,
-    0.11372549086809158)],
-
-    'red': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904,
-    0.92941176891326904), (0.25, 0.78039216995239258,
-    0.78039216995239258), (0.375, 0.49803921580314636,
-    0.49803921580314636), (0.5, 0.25490197539329529,
-    0.25490197539329529), (0.625, 0.11372549086809158,
-    0.11372549086809158), (0.75, 0.13333334028720856,
-    0.13333334028720856), (0.875, 0.14509804546833038,
-    0.14509804546833038), (1.0, 0.031372550874948502,
-    0.031372550874948502)]}
-
-_YlOrBr_data = {'blue': [(0.0, 0.89803922176361084,
-0.89803922176361084), (0.125, 0.73725491762161255,
-0.73725491762161255), (0.25, 0.56862747669219971,
-0.56862747669219971), (0.375, 0.30980393290519714,
-0.30980393290519714), (0.5, 0.16078431904315948, 0.16078431904315948),
-(0.625, 0.078431375324726105, 0.078431375324726105), (0.75,
-0.0078431377187371254, 0.0078431377187371254), (0.875,
-0.015686275437474251, 0.015686275437474251), (1.0,
-0.023529412224888802, 0.023529412224888802)],
-
-    'green': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,
-    0.9686274528503418), (0.25, 0.89019608497619629,
-    0.89019608497619629), (0.375, 0.76862746477127075,
-    0.76862746477127075), (0.5, 0.60000002384185791,
-    0.60000002384185791), (0.625, 0.43921568989753723,
-    0.43921568989753723), (0.75, 0.29803922772407532,
-    0.29803922772407532), (0.875, 0.20392157137393951,
-    0.20392157137393951), (1.0, 0.14509804546833038,
-    0.14509804546833038)],
-
-    'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25,
-    0.99607843160629272, 0.99607843160629272), (0.375,
-    0.99607843160629272, 0.99607843160629272), (0.5,
-    0.99607843160629272, 0.99607843160629272), (0.625,
-    0.92549020051956177, 0.92549020051956177), (0.75,
-    0.80000001192092896, 0.80000001192092896), (0.875,
-    0.60000002384185791, 0.60000002384185791), (1.0,
-    0.40000000596046448, 0.40000000596046448)]}
-
-_YlOrRd_data = {'blue': [(0.0, 0.80000001192092896,
-0.80000001192092896), (0.125, 0.62745100259780884,
-0.62745100259780884), (0.25, 0.46274510025978088,
-0.46274510025978088), (0.375, 0.29803922772407532,
-0.29803922772407532), (0.5, 0.23529411852359772, 0.23529411852359772),
-(0.625, 0.16470588743686676, 0.16470588743686676), (0.75,
-0.10980392247438431, 0.10980392247438431), (0.875,
-0.14901961386203766, 0.14901961386203766), (1.0, 0.14901961386203766,
-0.14901961386203766)],
-
-    'green': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904,
-    0.92941176891326904), (0.25, 0.85098040103912354,
-    0.85098040103912354), (0.375, 0.69803923368453979,
-    0.69803923368453979), (0.5, 0.55294120311737061,
-    0.55294120311737061), (0.625, 0.30588236451148987,
-    0.30588236451148987), (0.75, 0.10196078568696976,
-    0.10196078568696976), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)],
-
-    'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25,
-    0.99607843160629272, 0.99607843160629272), (0.375,
-    0.99607843160629272, 0.99607843160629272), (0.5,
-    0.99215686321258545, 0.99215686321258545), (0.625,
-    0.98823529481887817, 0.98823529481887817), (0.75,
-    0.89019608497619629, 0.89019608497619629), (0.875,
-    0.74117648601531982, 0.74117648601531982), (1.0,
-    0.50196081399917603, 0.50196081399917603)]}
-
-# The next 7 palettes are from the Yorick scientific visalisation package,
+# RGB values taken from Brewer's Excel sheet, divided by 255
+
+_Blues_data = (
+    (0.96862745098039216,  0.98431372549019602,  1.0                ),
+    (0.87058823529411766,  0.92156862745098034,  0.96862745098039216),
+    (0.77647058823529413,  0.85882352941176465,  0.93725490196078431),
+    (0.61960784313725492,  0.792156862745098  ,  0.88235294117647056),
+    (0.41960784313725491,  0.68235294117647061,  0.83921568627450982),
+    (0.25882352941176473,  0.5725490196078431 ,  0.77647058823529413),
+    (0.12941176470588237,  0.44313725490196076,  0.70980392156862748),
+    (0.03137254901960784,  0.31764705882352939,  0.61176470588235299),
+    (0.03137254901960784,  0.18823529411764706,  0.41960784313725491)
+    )
+
+_BrBG_data = (
+    (0.32941176470588235,  0.18823529411764706,  0.0196078431372549 ),
+    (0.5490196078431373 ,  0.31764705882352939,  0.0392156862745098 ),
+    (0.74901960784313726,  0.50588235294117645,  0.17647058823529413),
+    (0.87450980392156863,  0.76078431372549016,  0.49019607843137253),
+    (0.96470588235294119,  0.90980392156862744,  0.76470588235294112),
+    (0.96078431372549022,  0.96078431372549022,  0.96078431372549022),
+    (0.7803921568627451 ,  0.91764705882352937,  0.89803921568627454),
+    (0.50196078431372548,  0.80392156862745101,  0.75686274509803919),
+    (0.20784313725490197,  0.59215686274509804,  0.5607843137254902 ),
+    (0.00392156862745098,  0.4                ,  0.36862745098039218),
+    (0.0                ,  0.23529411764705882,  0.18823529411764706)
+    )
+
+_BuGn_data = (
+    (0.96862745098039216,  0.9882352941176471 ,  0.99215686274509807),
+    (0.89803921568627454,  0.96078431372549022,  0.97647058823529409),
+    (0.8                ,  0.92549019607843142,  0.90196078431372551),
+    (0.6                ,  0.84705882352941175,  0.78823529411764703),
+    (0.4                ,  0.76078431372549016,  0.64313725490196083),
+    (0.25490196078431371,  0.68235294117647061,  0.46274509803921571),
+    (0.13725490196078433,  0.54509803921568623,  0.27058823529411763),
+    (0.0                ,  0.42745098039215684,  0.17254901960784313),
+    (0.0                ,  0.26666666666666666,  0.10588235294117647)
+    )
+
+_BuPu_data = (
+    (0.96862745098039216,  0.9882352941176471 ,  0.99215686274509807),
+    (0.8784313725490196 ,  0.92549019607843142,  0.95686274509803926),
+    (0.74901960784313726,  0.82745098039215681,  0.90196078431372551),
+    (0.61960784313725492,  0.73725490196078436,  0.85490196078431369),
+    (0.5490196078431373 ,  0.58823529411764708,  0.77647058823529413),
+    (0.5490196078431373 ,  0.41960784313725491,  0.69411764705882351),
+    (0.53333333333333333,  0.25490196078431371,  0.61568627450980395),
+    (0.50588235294117645,  0.05882352941176471,  0.48627450980392156),
+    (0.30196078431372547,  0.0                ,  0.29411764705882354)
+    )
+
+_GnBu_data = (
+    (0.96862745098039216,  0.9882352941176471 ,  0.94117647058823528),
+    (0.8784313725490196 ,  0.95294117647058818,  0.85882352941176465),
+    (0.8                ,  0.92156862745098034,  0.77254901960784317),
+    (0.6588235294117647 ,  0.8666666666666667 ,  0.70980392156862748),
+    (0.4823529411764706 ,  0.8                ,  0.7686274509803922 ),
+    (0.30588235294117649,  0.70196078431372544,  0.82745098039215681),
+    (0.16862745098039217,  0.5490196078431373 ,  0.74509803921568629),
+    (0.03137254901960784,  0.40784313725490196,  0.67450980392156867),
+    (0.03137254901960784,  0.25098039215686274,  0.50588235294117645)
+    )
+
+_Greens_data = (
+    (0.96862745098039216,  0.9882352941176471 ,  0.96078431372549022),
+    (0.89803921568627454,  0.96078431372549022,  0.8784313725490196 ),
+    (0.7803921568627451 ,  0.9137254901960784 ,  0.75294117647058822),
+    (0.63137254901960782,  0.85098039215686272,  0.60784313725490191),
+    (0.45490196078431372,  0.7686274509803922 ,  0.46274509803921571),
+    (0.25490196078431371,  0.6705882352941176 ,  0.36470588235294116),
+    (0.13725490196078433,  0.54509803921568623,  0.27058823529411763),
+    (0.0                ,  0.42745098039215684,  0.17254901960784313),
+    (0.0                ,  0.26666666666666666,  0.10588235294117647)
+    )
+
+_Greys_data = (
+    (1.0                ,  1.0                ,  1.0                ),
+    (0.94117647058823528,  0.94117647058823528,  0.94117647058823528),
+    (0.85098039215686272,  0.85098039215686272,  0.85098039215686272),
+    (0.74117647058823533,  0.74117647058823533,  0.74117647058823533),
+    (0.58823529411764708,  0.58823529411764708,  0.58823529411764708),
+    (0.45098039215686275,  0.45098039215686275,  0.45098039215686275),
+    (0.32156862745098042,  0.32156862745098042,  0.32156862745098042),
+    (0.14509803921568629,  0.14509803921568629,  0.14509803921568629),
+    (0.0                ,  0.0                ,  0.0                )
+    )
+
+_Oranges_data = (
+    (1.0                ,  0.96078431372549022,  0.92156862745098034),
+    (0.99607843137254903,  0.90196078431372551,  0.80784313725490198),
+    (0.99215686274509807,  0.81568627450980391,  0.63529411764705879),
+    (0.99215686274509807,  0.68235294117647061,  0.41960784313725491),
+    (0.99215686274509807,  0.55294117647058827,  0.23529411764705882),
+    (0.94509803921568625,  0.41176470588235292,  0.07450980392156863),
+    (0.85098039215686272,  0.28235294117647058,  0.00392156862745098),
+    (0.65098039215686276,  0.21176470588235294,  0.01176470588235294),
+    (0.49803921568627452,  0.15294117647058825,  0.01568627450980392)
+    )
+
+_OrRd_data = (
+    (1.0                ,  0.96862745098039216,  0.92549019607843142),
+    (0.99607843137254903,  0.90980392156862744,  0.78431372549019607),
+    (0.99215686274509807,  0.83137254901960789,  0.61960784313725492),
+    (0.99215686274509807,  0.73333333333333328,  0.51764705882352946),
+    (0.9882352941176471 ,  0.55294117647058827,  0.34901960784313724),
+    (0.93725490196078431,  0.396078431372549  ,  0.28235294117647058),
+    (0.84313725490196079,  0.18823529411764706,  0.12156862745098039),
+    (0.70196078431372544,  0.0                ,  0.0                ),
+    (0.49803921568627452,  0.0                ,  0.0                )
+    )
+
+_PiYG_data = (
+    (0.55686274509803924,  0.00392156862745098,  0.32156862745098042),
+    (0.77254901960784317,  0.10588235294117647,  0.49019607843137253),
+    (0.87058823529411766,  0.46666666666666667,  0.68235294117647061),
+    (0.94509803921568625,  0.71372549019607845,  0.85490196078431369),
+    (0.99215686274509807,  0.8784313725490196 ,  0.93725490196078431),
+    (0.96862745098039216,  0.96862745098039216,  0.96862745098039216),
+    (0.90196078431372551,  0.96078431372549022,  0.81568627450980391),
+    (0.72156862745098038,  0.88235294117647056,  0.52549019607843139),
+    (0.49803921568627452,  0.73725490196078436,  0.25490196078431371),
+    (0.30196078431372547,  0.5725490196078431 ,  0.12941176470588237),
+    (0.15294117647058825,  0.39215686274509803,  0.09803921568627451)
+    )
+
+_PRGn_data = (
+    (0.25098039215686274,  0.0                ,  0.29411764705882354),
+    (0.46274509803921571,  0.16470588235294117,  0.51372549019607838),
+    (0.6                ,  0.4392156862745098 ,  0.6705882352941176 ),
+    (0.76078431372549016,  0.6470588235294118 ,  0.81176470588235294),
+    (0.90588235294117647,  0.83137254901960789,  0.90980392156862744),
+    (0.96862745098039216,  0.96862745098039216,  0.96862745098039216),
+    (0.85098039215686272,  0.94117647058823528,  0.82745098039215681),
+    (0.65098039215686276,  0.85882352941176465,  0.62745098039215685),
+    (0.35294117647058826,  0.68235294117647061,  0.38039215686274508),
+    (0.10588235294117647,  0.47058823529411764,  0.21568627450980393),
+    (0.0                ,  0.26666666666666666,  0.10588235294117647)
+    )
+
+_PuBu_data = (
+    (1.0                ,  0.96862745098039216,  0.98431372549019602),
+    (0.92549019607843142,  0.90588235294117647,  0.94901960784313721),
+    (0.81568627450980391,  0.81960784313725488,  0.90196078431372551),
+    (0.65098039215686276,  0.74117647058823533,  0.85882352941176465),
+    (0.45490196078431372,  0.66274509803921566,  0.81176470588235294),
+    (0.21176470588235294,  0.56470588235294117,  0.75294117647058822),
+    (0.0196078431372549 ,  0.4392156862745098 ,  0.69019607843137254),
+    (0.01568627450980392,  0.35294117647058826,  0.55294117647058827),
+    (0.00784313725490196,  0.2196078431372549 ,  0.34509803921568627)
+    )
+
+_PuBuGn_data = (
+    (1.0                ,  0.96862745098039216,  0.98431372549019602),
+    (0.92549019607843142,  0.88627450980392153,  0.94117647058823528),
+    (0.81568627450980391,  0.81960784313725488,  0.90196078431372551),
+    (0.65098039215686276,  0.74117647058823533,  0.85882352941176465),
+    (0.40392156862745099,  0.66274509803921566,  0.81176470588235294),
+    (0.21176470588235294,  0.56470588235294117,  0.75294117647058822),
+    (0.00784313725490196,  0.50588235294117645,  0.54117647058823526),
+    (0.00392156862745098,  0.42352941176470588,  0.34901960784313724),
+    (0.00392156862745098,  0.27450980392156865,  0.21176470588235294)
+    )
+
+_PuOr_data = (
+    (0.49803921568627452,  0.23137254901960785,  0.03137254901960784),
+    (0.70196078431372544,  0.34509803921568627,  0.02352941176470588),
+    (0.8784313725490196 ,  0.50980392156862742,  0.07843137254901961),
+    (0.99215686274509807,  0.72156862745098038,  0.38823529411764707),
+    (0.99607843137254903,  0.8784313725490196 ,  0.71372549019607845),
+    (0.96862745098039216,  0.96862745098039216,  0.96862745098039216),
+    (0.84705882352941175,  0.85490196078431369,  0.92156862745098034),
+    (0.69803921568627447,  0.6705882352941176 ,  0.82352941176470584),
+    (0.50196078431372548,  0.45098039215686275,  0.67450980392156867),
+    (0.32941176470588235,  0.15294117647058825,  0.53333333333333333),
+    (0.17647058823529413,  0.0                ,  0.29411764705882354)
+    )
+
+_PuRd_data = (
+    (0.96862745098039216,  0.95686274509803926,  0.97647058823529409),
+    (0.90588235294117647,  0.88235294117647056,  0.93725490196078431),
+    (0.83137254901960789,  0.72549019607843135,  0.85490196078431369),
+    (0.78823529411764703,  0.58039215686274515,  0.7803921568627451 ),
+    (0.87450980392156863,  0.396078431372549  ,  0.69019607843137254),
+    (0.90588235294117647,  0.16078431372549021,  0.54117647058823526),
+    (0.80784313725490198,  0.07058823529411765,  0.33725490196078434),
+    (0.59607843137254901,  0.0                ,  0.2627450980392157 ),
+    (0.40392156862745099,  0.0                ,  0.12156862745098039)
+    )
+
+_Purples_data = (
+    (0.9882352941176471 ,  0.98431372549019602,  0.99215686274509807),
+    (0.93725490196078431,  0.92941176470588238,  0.96078431372549022),
+    (0.85490196078431369,  0.85490196078431369,  0.92156862745098034),
+    (0.73725490196078436,  0.74117647058823533,  0.86274509803921573),
+    (0.61960784313725492,  0.60392156862745094,  0.78431372549019607),
+    (0.50196078431372548,  0.49019607843137253,  0.72941176470588232),
+    (0.41568627450980394,  0.31764705882352939,  0.63921568627450975),
+    (0.32941176470588235,  0.15294117647058825,  0.5607843137254902 ),
+    (0.24705882352941178,  0.0                ,  0.49019607843137253)
+    )
+
+_RdBu_data = (
+    (0.40392156862745099,  0.0                ,  0.12156862745098039),
+    (0.69803921568627447,  0.09411764705882353,  0.16862745098039217),
+    (0.83921568627450982,  0.37647058823529411,  0.30196078431372547),
+    (0.95686274509803926,  0.6470588235294118 ,  0.50980392156862742),
+    (0.99215686274509807,  0.85882352941176465,  0.7803921568627451 ),
+    (0.96862745098039216,  0.96862745098039216,  0.96862745098039216),
+    (0.81960784313725488,  0.89803921568627454,  0.94117647058823528),
+    (0.5725490196078431 ,  0.77254901960784317,  0.87058823529411766),
+    (0.2627450980392157 ,  0.57647058823529407,  0.76470588235294112),
+    (0.12941176470588237,  0.4                ,  0.67450980392156867),
+    (0.0196078431372549 ,  0.18823529411764706,  0.38039215686274508)
+    )
+
+_RdGy_data = (
+    (0.40392156862745099,  0.0                ,  0.12156862745098039),
+    (0.69803921568627447,  0.09411764705882353,  0.16862745098039217),
+    (0.83921568627450982,  0.37647058823529411,  0.30196078431372547),
+    (0.95686274509803926,  0.6470588235294118 ,  0.50980392156862742),
+    (0.99215686274509807,  0.85882352941176465,  0.7803921568627451 ),
+    (1.0                ,  1.0                ,  1.0                ),
+    (0.8784313725490196 ,  0.8784313725490196 ,  0.8784313725490196 ),
+    (0.72941176470588232,  0.72941176470588232,  0.72941176470588232),
+    (0.52941176470588236,  0.52941176470588236,  0.52941176470588236),
+    (0.30196078431372547,  0.30196078431372547,  0.30196078431372547),
+    (0.10196078431372549,  0.10196078431372549,  0.10196078431372549)
+    )
+
+_RdPu_data = (
+    (1.0                ,  0.96862745098039216,  0.95294117647058818),
+    (0.99215686274509807,  0.8784313725490196 ,  0.86666666666666667),
+    (0.9882352941176471 ,  0.77254901960784317,  0.75294117647058822),
+    (0.98039215686274506,  0.62352941176470589,  0.70980392156862748),
+    (0.96862745098039216,  0.40784313725490196,  0.63137254901960782),
+    (0.86666666666666667,  0.20392156862745098,  0.59215686274509804),
+    (0.68235294117647061,  0.00392156862745098,  0.49411764705882355),
+    (0.47843137254901963,  0.00392156862745098,  0.46666666666666667),
+    (0.28627450980392155,  0.0                ,  0.41568627450980394)
+    )
+
+_RdYlBu_data = (
+    (0.6470588235294118 , 0.0                 , 0.14901960784313725),
+    (0.84313725490196079, 0.18823529411764706 , 0.15294117647058825),
+    (0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),
+    (0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),
+    (0.99607843137254903, 0.8784313725490196  , 0.56470588235294117),
+    (1.0                , 1.0                 , 0.74901960784313726),
+    (0.8784313725490196 , 0.95294117647058818 , 0.97254901960784312),
+    (0.6705882352941176 , 0.85098039215686272 , 0.9137254901960784 ),
+    (0.45490196078431372, 0.67843137254901964 , 0.81960784313725488),
+    (0.27058823529411763, 0.45882352941176469 , 0.70588235294117652),
+    (0.19215686274509805, 0.21176470588235294 , 0.58431372549019611)
+    )
+
+_RdYlGn_data = (
+    (0.6470588235294118 , 0.0                 , 0.14901960784313725),
+    (0.84313725490196079, 0.18823529411764706 , 0.15294117647058825),
+    (0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),
+    (0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),
+    (0.99607843137254903, 0.8784313725490196  , 0.54509803921568623),
+    (1.0                , 1.0                 , 0.74901960784313726),
+    (0.85098039215686272, 0.93725490196078431 , 0.54509803921568623),
+    (0.65098039215686276, 0.85098039215686272 , 0.41568627450980394),
+    (0.4                , 0.74117647058823533 , 0.38823529411764707),
+    (0.10196078431372549, 0.59607843137254901 , 0.31372549019607843),
+    (0.0                , 0.40784313725490196 , 0.21568627450980393)
+    )
+
+_Reds_data = (
+    (1.0                , 0.96078431372549022 , 0.94117647058823528),
+    (0.99607843137254903, 0.8784313725490196  , 0.82352941176470584),
+    (0.9882352941176471 , 0.73333333333333328 , 0.63137254901960782),
+    (0.9882352941176471 , 0.5725490196078431  , 0.44705882352941179),
+    (0.98431372549019602, 0.41568627450980394 , 0.29019607843137257),
+    (0.93725490196078431, 0.23137254901960785 , 0.17254901960784313),
+    (0.79607843137254897, 0.094117647058823528, 0.11372549019607843),
+    (0.6470588235294118 , 0.058823529411764705, 0.08235294117647058),
+    (0.40392156862745099, 0.0                 , 0.05098039215686274)
+    )
+
+_Spectral_data = (
+    (0.61960784313725492, 0.003921568627450980, 0.25882352941176473),
+    (0.83529411764705885, 0.24313725490196078 , 0.30980392156862746),
+    (0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),
+    (0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),
+    (0.99607843137254903, 0.8784313725490196  , 0.54509803921568623),
+    (1.0                , 1.0                 , 0.74901960784313726),
+    (0.90196078431372551, 0.96078431372549022 , 0.59607843137254901),
+    (0.6705882352941176 , 0.8666666666666667  , 0.64313725490196083),
+    (0.4                , 0.76078431372549016 , 0.6470588235294118 ),
+    (0.19607843137254902, 0.53333333333333333 , 0.74117647058823533),
+    (0.36862745098039218, 0.30980392156862746 , 0.63529411764705879)
+    )
+
+_YlGn_data = (
+    (1.0                , 1.0                 , 0.89803921568627454),
+    (0.96862745098039216, 0.9882352941176471  , 0.72549019607843135),
+    (0.85098039215686272, 0.94117647058823528 , 0.63921568627450975),
+    (0.67843137254901964, 0.8666666666666667  , 0.55686274509803924),
+    (0.47058823529411764, 0.77647058823529413 , 0.47450980392156861),
+    (0.25490196078431371, 0.6705882352941176  , 0.36470588235294116),
+    (0.13725490196078433, 0.51764705882352946 , 0.2627450980392157 ),
+    (0.0                , 0.40784313725490196 , 0.21568627450980393),
+    (0.0                , 0.27058823529411763 , 0.16078431372549021)
+    )
+
+_YlGnBu_data = (
+    (1.0                , 1.0                 , 0.85098039215686272),
+    (0.92941176470588238, 0.97254901960784312 , 0.69411764705882351),
+    (0.7803921568627451 , 0.9137254901960784  , 0.70588235294117652),
+    (0.49803921568627452, 0.80392156862745101 , 0.73333333333333328),
+    (0.25490196078431371, 0.71372549019607845 , 0.7686274509803922 ),
+    (0.11372549019607843, 0.56862745098039214 , 0.75294117647058822),
+    (0.13333333333333333, 0.36862745098039218 , 0.6588235294117647 ),
+    (0.14509803921568629, 0.20392156862745098 , 0.58039215686274515),
+    (0.03137254901960784, 0.11372549019607843 , 0.34509803921568627)
+    )
+
+_YlOrBr_data = (
+    (1.0                , 1.0                 , 0.89803921568627454),
+    (1.0                , 0.96862745098039216 , 0.73725490196078436),
+    (0.99607843137254903, 0.8901960784313725  , 0.56862745098039214),
+    (0.99607843137254903, 0.7686274509803922  , 0.30980392156862746),
+    (0.99607843137254903, 0.6                 , 0.16078431372549021),
+    (0.92549019607843142, 0.4392156862745098  , 0.07843137254901961),
+    (0.8                , 0.29803921568627451 , 0.00784313725490196),
+    (0.6                , 0.20392156862745098 , 0.01568627450980392),
+    (0.4                , 0.14509803921568629 , 0.02352941176470588)
+    )
+
+_YlOrRd_data = (
+    (1.0                , 1.0                 , 0.8                ),
+    (1.0                , 0.92941176470588238 , 0.62745098039215685),
+    (0.99607843137254903, 0.85098039215686272 , 0.46274509803921571),
+    (0.99607843137254903, 0.69803921568627447 , 0.29803921568627451),
+    (0.99215686274509807, 0.55294117647058827 , 0.23529411764705882),
+    (0.9882352941176471 , 0.30588235294117649 , 0.16470588235294117),
+    (0.8901960784313725 , 0.10196078431372549 , 0.10980392156862745),
+    (0.74117647058823533, 0.0                 , 0.14901960784313725),
+    (0.50196078431372548, 0.0                 , 0.14901960784313725)
+    )
+
+
+# ColorBrewer's qualitative maps, implemented using ListedColormap
+# for use with mpl.colors.NoNorm
+
+_Accent_data = (
+    (0.49803921568627452, 0.78823529411764703, 0.49803921568627452),
+    (0.74509803921568629, 0.68235294117647061, 0.83137254901960789),
+    (0.99215686274509807, 0.75294117647058822, 0.52549019607843139),
+    (1.0,                 1.0,                 0.6                ),
+    (0.2196078431372549,  0.42352941176470588, 0.69019607843137254),
+    (0.94117647058823528, 0.00784313725490196, 0.49803921568627452),
+    (0.74901960784313726, 0.35686274509803922, 0.09019607843137254),
+    (0.4,                 0.4,                 0.4                ),
+    )
+
+_Dark2_data = (
+    (0.10588235294117647, 0.61960784313725492, 0.46666666666666667),
+    (0.85098039215686272, 0.37254901960784315, 0.00784313725490196),
+    (0.45882352941176469, 0.4392156862745098,  0.70196078431372544),
+    (0.90588235294117647, 0.16078431372549021, 0.54117647058823526),
+    (0.4,                 0.65098039215686276, 0.11764705882352941),
+    (0.90196078431372551, 0.6705882352941176,  0.00784313725490196),
+    (0.65098039215686276, 0.46274509803921571, 0.11372549019607843),
+    (0.4,                 0.4,                 0.4                ),
+    )
+
+_Paired_data = (
+    (0.65098039215686276, 0.80784313725490198, 0.8901960784313725 ),
+    (0.12156862745098039, 0.47058823529411764, 0.70588235294117652),
+    (0.69803921568627447, 0.87450980392156863, 0.54117647058823526),
+    (0.2,                 0.62745098039215685, 0.17254901960784313),
+    (0.98431372549019602, 0.60392156862745094, 0.6                ),
+    (0.8901960784313725,  0.10196078431372549, 0.10980392156862745),
+    (0.99215686274509807, 0.74901960784313726, 0.43529411764705883),
+    (1.0,                 0.49803921568627452, 0.0                ),
+    (0.792156862745098,   0.69803921568627447, 0.83921568627450982),
+    (0.41568627450980394, 0.23921568627450981, 0.60392156862745094),
+    (1.0,                 1.0,                 0.6                ),
+    (0.69411764705882351, 0.34901960784313724, 0.15686274509803921),
+    )
+
+_Pastel1_data = (
+    (0.98431372549019602, 0.70588235294117652, 0.68235294117647061),
+    (0.70196078431372544, 0.80392156862745101, 0.8901960784313725 ),
+    (0.8,                 0.92156862745098034, 0.77254901960784317),
+    (0.87058823529411766, 0.79607843137254897, 0.89411764705882357),
+    (0.99607843137254903, 0.85098039215686272, 0.65098039215686276),
+    (1.0,                 1.0,                 0.8                ),
+    (0.89803921568627454, 0.84705882352941175, 0.74117647058823533),
+    (0.99215686274509807, 0.85490196078431369, 0.92549019607843142),
+    (0.94901960784313721, 0.94901960784313721, 0.94901960784313721),
+    )
+
+_Pastel2_data = (
+    (0.70196078431372544, 0.88627450980392153, 0.80392156862745101),
+    (0.99215686274509807, 0.80392156862745101, 0.67450980392156867),
+    (0.79607843137254897, 0.83529411764705885, 0.90980392156862744),
+    (0.95686274509803926, 0.792156862745098,   0.89411764705882357),
+    (0.90196078431372551, 0.96078431372549022, 0.78823529411764703),
+    (1.0,                 0.94901960784313721, 0.68235294117647061),
+    (0.94509803921568625, 0.88627450980392153, 0.8                ),
+    (0.8,                 0.8,                 0.8                ),
+    )
+
+_Set1_data = (
+    (0.89411764705882357, 0.10196078431372549, 0.10980392156862745),
+    (0.21568627450980393, 0.49411764705882355, 0.72156862745098038),
+    (0.30196078431372547, 0.68627450980392157, 0.29019607843137257),
+    (0.59607843137254901, 0.30588235294117649, 0.63921568627450975),
+    (1.0,                 0.49803921568627452, 0.0                ),
+    (1.0,                 1.0,                 0.2                ),
+    (0.65098039215686276, 0.33725490196078434, 0.15686274509803921),
+    (0.96862745098039216, 0.50588235294117645, 0.74901960784313726),
+    (0.6,                 0.6,                 0.6),
+    )
+
+_Set2_data = (
+    (0.4,                 0.76078431372549016, 0.6470588235294118 ),
+    (0.9882352941176471,  0.55294117647058827, 0.3843137254901961 ),
+    (0.55294117647058827, 0.62745098039215685, 0.79607843137254897),
+    (0.90588235294117647, 0.54117647058823526, 0.76470588235294112),
+    (0.65098039215686276, 0.84705882352941175, 0.32941176470588235),
+    (1.0,                 0.85098039215686272, 0.18431372549019609),
+    (0.89803921568627454, 0.7686274509803922,  0.58039215686274515),
+    (0.70196078431372544, 0.70196078431372544, 0.70196078431372544),
+    )
+
+_Set3_data = (
+    (0.55294117647058827, 0.82745098039215681, 0.7803921568627451 ),
+    (1.0,                 1.0,                 0.70196078431372544),
+    (0.74509803921568629, 0.72941176470588232, 0.85490196078431369),
+    (0.98431372549019602, 0.50196078431372548, 0.44705882352941179),
+    (0.50196078431372548, 0.69411764705882351, 0.82745098039215681),
+    (0.99215686274509807, 0.70588235294117652, 0.3843137254901961 ),
+    (0.70196078431372544, 0.87058823529411766, 0.41176470588235292),
+    (0.9882352941176471,  0.80392156862745101, 0.89803921568627454),
+    (0.85098039215686272, 0.85098039215686272, 0.85098039215686272),
+    (0.73725490196078436, 0.50196078431372548, 0.74117647058823533),
+    (0.8,                 0.92156862745098034, 0.77254901960784317),
+    (1.0,                 0.92941176470588238, 0.43529411764705883),
+    )
+
+
+# The next 7 palettes are from the Yorick scientific visualization package,
 # an evolution of the GIST package, both by David H. Munro.
 # They are released under a BSD-like license (see LICENSE_YORICK in
 # the license directory of the matplotlib source distribution).
@@ -1609,52 +965,55 @@ def gfunc32(x):
 # gist_earth_data and gist_ncar_data were simplified by a script and some
 # manual effort.
 
-_gist_earth_data = \
-{'red': (
-(0.0, 0.0, 0.0000),
-(0.2824, 0.1882, 0.1882),
-(0.4588, 0.2714, 0.2714),
-(0.5490, 0.4719, 0.4719),
-(0.6980, 0.7176, 0.7176),
-(0.7882, 0.7553, 0.7553),
-(1.0000, 0.9922, 0.9922),
-), 'green': (
-(0.0, 0.0, 0.0000),
-(0.0275, 0.0000, 0.0000),
-(0.1098, 0.1893, 0.1893),
-(0.1647, 0.3035, 0.3035),
-(0.2078, 0.3841, 0.3841),
-(0.2824, 0.5020, 0.5020),
-(0.5216, 0.6397, 0.6397),
-(0.6980, 0.7171, 0.7171),
-(0.7882, 0.6392, 0.6392),
-(0.7922, 0.6413, 0.6413),
-(0.8000, 0.6447, 0.6447),
-(0.8078, 0.6481, 0.6481),
-(0.8157, 0.6549, 0.6549),
-(0.8667, 0.6991, 0.6991),
-(0.8745, 0.7103, 0.7103),
-(0.8824, 0.7216, 0.7216),
-(0.8902, 0.7323, 0.7323),
-(0.8980, 0.7430, 0.7430),
-(0.9412, 0.8275, 0.8275),
-(0.9569, 0.8635, 0.8635),
-(0.9647, 0.8816, 0.8816),
-(0.9961, 0.9733, 0.9733),
-(1.0000, 0.9843, 0.9843),
-), 'blue': (
-(0.0, 0.0, 0.0000),
-(0.0039, 0.1684, 0.1684),
-(0.0078, 0.2212, 0.2212),
-(0.0275, 0.4329, 0.4329),
-(0.0314, 0.4549, 0.4549),
-(0.2824, 0.5004, 0.5004),
-(0.4667, 0.2748, 0.2748),
-(0.5451, 0.3205, 0.3205),
-(0.7843, 0.3961, 0.3961),
-(0.8941, 0.6651, 0.6651),
-(1.0000, 0.9843, 0.9843),
-)}
+_gist_earth_data = {
+    'red': (
+        (0.0, 0.0, 0.0000),
+        (0.2824, 0.1882, 0.1882),
+        (0.4588, 0.2714, 0.2714),
+        (0.5490, 0.4719, 0.4719),
+        (0.6980, 0.7176, 0.7176),
+        (0.7882, 0.7553, 0.7553),
+        (1.0000, 0.9922, 0.9922),
+    ),
+    'green': (
+        (0.0, 0.0, 0.0000),
+        (0.0275, 0.0000, 0.0000),
+        (0.1098, 0.1893, 0.1893),
+        (0.1647, 0.3035, 0.3035),
+        (0.2078, 0.3841, 0.3841),
+        (0.2824, 0.5020, 0.5020),
+        (0.5216, 0.6397, 0.6397),
+        (0.6980, 0.7171, 0.7171),
+        (0.7882, 0.6392, 0.6392),
+        (0.7922, 0.6413, 0.6413),
+        (0.8000, 0.6447, 0.6447),
+        (0.8078, 0.6481, 0.6481),
+        (0.8157, 0.6549, 0.6549),
+        (0.8667, 0.6991, 0.6991),
+        (0.8745, 0.7103, 0.7103),
+        (0.8824, 0.7216, 0.7216),
+        (0.8902, 0.7323, 0.7323),
+        (0.8980, 0.7430, 0.7430),
+        (0.9412, 0.8275, 0.8275),
+        (0.9569, 0.8635, 0.8635),
+        (0.9647, 0.8816, 0.8816),
+        (0.9961, 0.9733, 0.9733),
+        (1.0000, 0.9843, 0.9843),
+    ),
+    'blue': (
+        (0.0, 0.0, 0.0000),
+        (0.0039, 0.1684, 0.1684),
+        (0.0078, 0.2212, 0.2212),
+        (0.0275, 0.4329, 0.4329),
+        (0.0314, 0.4549, 0.4549),
+        (0.2824, 0.5004, 0.5004),
+        (0.4667, 0.2748, 0.2748),
+        (0.5451, 0.3205, 0.3205),
+        (0.7843, 0.3961, 0.3961),
+        (0.8941, 0.6651, 0.6651),
+        (1.0000, 0.9843, 0.9843),
+    )
+}
 
 _gist_gray_data = {
         'red': gfunc[3],
@@ -1662,65 +1021,68 @@ def gfunc32(x):
         'blue': gfunc[3],
 }
 
+def _gist_heat_red(x): return 1.5 * x
+def _gist_heat_green(x): return 2 * x - 1
+def _gist_heat_blue(x): return 4 * x - 3
 _gist_heat_data = {
-        'red': lambda x: 1.5 * x,
-        'green': lambda x: 2 * x - 1,
-        'blue': lambda x: 4 * x - 3,
+    'red': _gist_heat_red, 'green': _gist_heat_green, 'blue': _gist_heat_blue}
+
+_gist_ncar_data = {
+    'red': (
+        (0.0, 0.0, 0.0000),
+        (0.3098, 0.0000, 0.0000),
+        (0.3725, 0.3993, 0.3993),
+        (0.4235, 0.5003, 0.5003),
+        (0.5333, 1.0000, 1.0000),
+        (0.7922, 1.0000, 1.0000),
+        (0.8471, 0.6218, 0.6218),
+        (0.8980, 0.9235, 0.9235),
+        (1.0000, 0.9961, 0.9961),
+    ),
+    'green': (
+        (0.0, 0.0, 0.0000),
+        (0.0510, 0.3722, 0.3722),
+        (0.1059, 0.0000, 0.0000),
+        (0.1569, 0.7202, 0.7202),
+        (0.1608, 0.7537, 0.7537),
+        (0.1647, 0.7752, 0.7752),
+        (0.2157, 1.0000, 1.0000),
+        (0.2588, 0.9804, 0.9804),
+        (0.2706, 0.9804, 0.9804),
+        (0.3176, 1.0000, 1.0000),
+        (0.3686, 0.8081, 0.8081),
+        (0.4275, 1.0000, 1.0000),
+        (0.5216, 1.0000, 1.0000),
+        (0.6314, 0.7292, 0.7292),
+        (0.6863, 0.2796, 0.2796),
+        (0.7451, 0.0000, 0.0000),
+        (0.7922, 0.0000, 0.0000),
+        (0.8431, 0.1753, 0.1753),
+        (0.8980, 0.5000, 0.5000),
+        (1.0000, 0.9725, 0.9725),
+    ),
+    'blue': (
+        (0.0, 0.5020, 0.5020),
+        (0.0510, 0.0222, 0.0222),
+        (0.1098, 1.0000, 1.0000),
+        (0.2039, 1.0000, 1.0000),
+        (0.2627, 0.6145, 0.6145),
+        (0.3216, 0.0000, 0.0000),
+        (0.4157, 0.0000, 0.0000),
+        (0.4745, 0.2342, 0.2342),
+        (0.5333, 0.0000, 0.0000),
+        (0.5804, 0.0000, 0.0000),
+        (0.6314, 0.0549, 0.0549),
+        (0.6902, 0.0000, 0.0000),
+        (0.7373, 0.0000, 0.0000),
+        (0.7922, 0.9738, 0.9738),
+        (0.8000, 1.0000, 1.0000),
+        (0.8431, 1.0000, 1.0000),
+        (0.8980, 0.9341, 0.9341),
+        (1.0000, 0.9961, 0.9961),
+    )
 }
 
-_gist_ncar_data = \
-{'red': (
-(0.0, 0.0, 0.0000),
-(0.3098, 0.0000, 0.0000),
-(0.3725, 0.3993, 0.3993),
-(0.4235, 0.5003, 0.5003),
-(0.5333, 1.0000, 1.0000),
-(0.7922, 1.0000, 1.0000),
-(0.8471, 0.6218, 0.6218),
-(0.8980, 0.9235, 0.9235),
-(1.0000, 0.9961, 0.9961),
-), 'green': (
-(0.0, 0.0, 0.0000),
-(0.0510, 0.3722, 0.3722),
-(0.1059, 0.0000, 0.0000),
-(0.1569, 0.7202, 0.7202),
-(0.1608, 0.7537, 0.7537),
-(0.1647, 0.7752, 0.7752),
-(0.2157, 1.0000, 1.0000),
-(0.2588, 0.9804, 0.9804),
-(0.2706, 0.9804, 0.9804),
-(0.3176, 1.0000, 1.0000),
-(0.3686, 0.8081, 0.8081),
-(0.4275, 1.0000, 1.0000),
-(0.5216, 1.0000, 1.0000),
-(0.6314, 0.7292, 0.7292),
-(0.6863, 0.2796, 0.2796),
-(0.7451, 0.0000, 0.0000),
-(0.7922, 0.0000, 0.0000),
-(0.8431, 0.1753, 0.1753),
-(0.8980, 0.5000, 0.5000),
-(1.0000, 0.9725, 0.9725),
-), 'blue': (
-(0.0, 0.5020, 0.5020),
-(0.0510, 0.0222, 0.0222),
-(0.1098, 1.0000, 1.0000),
-(0.2039, 1.0000, 1.0000),
-(0.2627, 0.6145, 0.6145),
-(0.3216, 0.0000, 0.0000),
-(0.4157, 0.0000, 0.0000),
-(0.4745, 0.2342, 0.2342),
-(0.5333, 0.0000, 0.0000),
-(0.5804, 0.0000, 0.0000),
-(0.6314, 0.0549, 0.0549),
-(0.6902, 0.0000, 0.0000),
-(0.7373, 0.0000, 0.0000),
-(0.7922, 0.9738, 0.9738),
-(0.8000, 1.0000, 1.0000),
-(0.8431, 1.0000, 1.0000),
-(0.8980, 0.9341, 0.9341),
-(1.0000, 0.9961, 0.9961),
-)}
-
 _gist_rainbow_data = (
         (0.000, (1.00, 0.00, 0.16)),
         (0.030, (1.00, 0.00, 0.00)),
@@ -1743,15 +1105,12 @@ def gfunc32(x):
             (0.735, 0.000, 0.000), (1.000, 1.000, 1.000))
 }
 
-_gist_yarg_data = {
-        'red': lambda x: 1 - x,
-        'green': lambda x: 1 - x,
-        'blue': lambda x: 1 - x,
-}
+def _gist_yarg(x): return 1 - x
+_gist_yarg_data = {'red': _gist_yarg, 'green': _gist_yarg, 'blue': _gist_yarg}
 
-# This bipolar color map was generated from CoolWarmFloat33.csv of
+# This bipolar colormap was generated from CoolWarmFloat33.csv of
 # "Diverging Color Maps for Scientific Visualization" by Kenneth Moreland.
-# <http://www.cs.unm.edu/~kmorel/documents/ColorMaps/>
+# <http://www.kennethmoreland.com/color-maps/>
 _coolwarm_data = {
     'red': [
         (0.0, 0.2298057, 0.2298057),
@@ -1860,8 +1219,8 @@ def gfunc32(x):
 # Implementation of Carey Rappaport's CMRmap.
 # See `A Color Map for Effective Black-and-White Rendering of Color-Scale
 # Images' by Carey Rappaport
-# http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m
-_CMRmap_data = {'red':     ((0.000, 0.00, 0.00),
+# https://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m
+_CMRmap_data = {'red':    ((0.000, 0.00, 0.00),
                            (0.125, 0.15, 0.15),
                            (0.250, 0.30, 0.30),
                            (0.375, 0.60, 0.60),
@@ -1892,7 +1251,7 @@ def gfunc32(x):
 
 # An MIT licensed, colorblind-friendly heatmap from Wistia:
 #   https://github.com/wistia/heatmap-palette
-#   http://wistia.com/blog/heatmaps-for-colorblindness
+#   https://wistia.com/learn/culture/heatmaps-for-colorblindness
 #
 # >>> import matplotlib.colors as c
 # >>> colors = ["#e4ff7a", "#ffe81a", "#ffbd00", "#ffa000", "#fc7f00"]
@@ -1919,79 +1278,206 @@ def gfunc32(x):
 }
 
 
+# Categorical palettes from Vega:
+# https://github.com/vega/vega/wiki/Scales
+# (divided by 255)
+#
+
+_tab10_data = (
+    (0.12156862745098039, 0.4666666666666667,  0.7058823529411765  ),  # 1f77b4
+    (1.0,                 0.4980392156862745,  0.054901960784313725),  # ff7f0e
+    (0.17254901960784313, 0.6274509803921569,  0.17254901960784313 ),  # 2ca02c
+    (0.8392156862745098,  0.15294117647058825, 0.1568627450980392  ),  # d62728
+    (0.5803921568627451,  0.403921568627451,   0.7411764705882353  ),  # 9467bd
+    (0.5490196078431373,  0.33725490196078434, 0.29411764705882354 ),  # 8c564b
+    (0.8901960784313725,  0.4666666666666667,  0.7607843137254902  ),  # e377c2
+    (0.4980392156862745,  0.4980392156862745,  0.4980392156862745  ),  # 7f7f7f
+    (0.7372549019607844,  0.7411764705882353,  0.13333333333333333 ),  # bcbd22
+    (0.09019607843137255, 0.7450980392156863,  0.8117647058823529),    # 17becf
+)
+
+_tab20_data = (
+    (0.12156862745098039, 0.4666666666666667,  0.7058823529411765  ),  # 1f77b4
+    (0.6823529411764706,  0.7803921568627451,  0.9098039215686274  ),  # aec7e8
+    (1.0,                 0.4980392156862745,  0.054901960784313725),  # ff7f0e
+    (1.0,                 0.7333333333333333,  0.47058823529411764 ),  # ffbb78
+    (0.17254901960784313, 0.6274509803921569,  0.17254901960784313 ),  # 2ca02c
+    (0.596078431372549,   0.8745098039215686,  0.5411764705882353  ),  # 98df8a
+    (0.8392156862745098,  0.15294117647058825, 0.1568627450980392  ),  # d62728
+    (1.0,                 0.596078431372549,   0.5882352941176471  ),  # ff9896
+    (0.5803921568627451,  0.403921568627451,   0.7411764705882353  ),  # 9467bd
+    (0.7725490196078432,  0.6901960784313725,  0.8352941176470589  ),  # c5b0d5
+    (0.5490196078431373,  0.33725490196078434, 0.29411764705882354 ),  # 8c564b
+    (0.7686274509803922,  0.611764705882353,   0.5803921568627451  ),  # c49c94
+    (0.8901960784313725,  0.4666666666666667,  0.7607843137254902  ),  # e377c2
+    (0.9686274509803922,  0.7137254901960784,  0.8235294117647058  ),  # f7b6d2
+    (0.4980392156862745,  0.4980392156862745,  0.4980392156862745  ),  # 7f7f7f
+    (0.7803921568627451,  0.7803921568627451,  0.7803921568627451  ),  # c7c7c7
+    (0.7372549019607844,  0.7411764705882353,  0.13333333333333333 ),  # bcbd22
+    (0.8588235294117647,  0.8588235294117647,  0.5529411764705883  ),  # dbdb8d
+    (0.09019607843137255, 0.7450980392156863,  0.8117647058823529  ),  # 17becf
+    (0.6196078431372549,  0.8549019607843137,  0.8980392156862745),    # 9edae5
+)
+
+_tab20b_data = (
+    (0.2235294117647059,  0.23137254901960785, 0.4745098039215686 ),  # 393b79
+    (0.3215686274509804,  0.32941176470588235, 0.6392156862745098 ),  # 5254a3
+    (0.4196078431372549,  0.43137254901960786, 0.8117647058823529 ),  # 6b6ecf
+    (0.611764705882353,   0.6196078431372549,  0.8705882352941177 ),  # 9c9ede
+    (0.38823529411764707, 0.4745098039215686,  0.2235294117647059 ),  # 637939
+    (0.5490196078431373,  0.6352941176470588,  0.3215686274509804 ),  # 8ca252
+    (0.7098039215686275,  0.8117647058823529,  0.4196078431372549 ),  # b5cf6b
+    (0.807843137254902,   0.8588235294117647,  0.611764705882353  ),  # cedb9c
+    (0.5490196078431373,  0.42745098039215684, 0.19215686274509805),  # 8c6d31
+    (0.7411764705882353,  0.6196078431372549,  0.2235294117647059 ),  # bd9e39
+    (0.9058823529411765,  0.7294117647058823,  0.3215686274509804 ),  # e7ba52
+    (0.9058823529411765,  0.796078431372549,   0.5803921568627451 ),  # e7cb94
+    (0.5176470588235295,  0.23529411764705882, 0.2235294117647059 ),  # 843c39
+    (0.6784313725490196,  0.28627450980392155, 0.2901960784313726 ),  # ad494a
+    (0.8392156862745098,  0.3803921568627451,  0.4196078431372549 ),  # d6616b
+    (0.9058823529411765,  0.5882352941176471,  0.611764705882353  ),  # e7969c
+    (0.4823529411764706,  0.2549019607843137,  0.45098039215686275),  # 7b4173
+    (0.6470588235294118,  0.3176470588235294,  0.5803921568627451 ),  # a55194
+    (0.807843137254902,   0.42745098039215684, 0.7411764705882353 ),  # ce6dbd
+    (0.8705882352941177,  0.6196078431372549,  0.8392156862745098 ),  # de9ed6
+)
+
+_tab20c_data = (
+    (0.19215686274509805, 0.5098039215686274,  0.7411764705882353  ),  # 3182bd
+    (0.4196078431372549,  0.6823529411764706,  0.8392156862745098  ),  # 6baed6
+    (0.6196078431372549,  0.792156862745098,   0.8823529411764706  ),  # 9ecae1
+    (0.7764705882352941,  0.8588235294117647,  0.9372549019607843  ),  # c6dbef
+    (0.9019607843137255,  0.3333333333333333,  0.050980392156862744),  # e6550d
+    (0.9921568627450981,  0.5529411764705883,  0.23529411764705882 ),  # fd8d3c
+    (0.9921568627450981,  0.6823529411764706,  0.4196078431372549  ),  # fdae6b
+    (0.9921568627450981,  0.8156862745098039,  0.6352941176470588  ),  # fdd0a2
+    (0.19215686274509805, 0.6392156862745098,  0.32941176470588235 ),  # 31a354
+    (0.4549019607843137,  0.7686274509803922,  0.4627450980392157  ),  # 74c476
+    (0.6313725490196078,  0.8509803921568627,  0.6078431372549019  ),  # a1d99b
+    (0.7803921568627451,  0.9137254901960784,  0.7529411764705882  ),  # c7e9c0
+    (0.4588235294117647,  0.4196078431372549,  0.6941176470588235  ),  # 756bb1
+    (0.6196078431372549,  0.6039215686274509,  0.7843137254901961  ),  # 9e9ac8
+    (0.7372549019607844,  0.7411764705882353,  0.8627450980392157  ),  # bcbddc
+    (0.8549019607843137,  0.8549019607843137,  0.9215686274509803  ),  # dadaeb
+    (0.38823529411764707, 0.38823529411764707, 0.38823529411764707 ),  # 636363
+    (0.5882352941176471,  0.5882352941176471,  0.5882352941176471  ),  # 969696
+    (0.7411764705882353,  0.7411764705882353,  0.7411764705882353  ),  # bdbdbd
+    (0.8509803921568627,  0.8509803921568627,  0.8509803921568627  ),  # d9d9d9
+)
+
+# Colorblind accessible palettes from
+# Matthew A. Petroff, Accessible Color Sequences for Data Visualization
+# https://arxiv.org/abs/2107.02270
+
+_petroff6_data = (
+    (0.3411764705882353,  0.5647058823529412,  0.9882352941176471),    # 5790fc
+    (0.9725490196078431,  0.611764705882353,   0.12549019607843137),   # f89c20
+    (0.8941176470588236,  0.1450980392156863,  0.21176470588235294),   # e42536
+    (0.5882352941176471,  0.2901960784313726,  0.5450980392156862),    # 964a8b
+    (0.611764705882353,   0.611764705882353,   0.6313725490196078),    # 9c9ca1
+    (0.47843137254901963, 0.12941176470588237, 0.8666666666666667),    # 7a21dd
+)
+
+_petroff8_data = (
+    (0.09411764705882353, 0.27058823529411763, 0.984313725490196),     # 1845fb
+    (1.0,                 0.3686274509803922,  0.00784313725490196),   # ff5e02
+    (0.788235294117647,   0.12156862745098039, 0.08627450980392157),   # c91f16
+    (0.7843137254901961,  0.28627450980392155, 0.6627450980392157),    # c849a9
+    (0.6784313725490196,  0.6784313725490196,  0.49019607843137253),   # adad7d
+    (0.5254901960784314,  0.7843137254901961,  0.8666666666666667),    # 86c8dd
+    (0.3411764705882353,  0.5529411764705883,  1.0),                   # 578dff
+    (0.396078431372549,   0.38823529411764707, 0.39215686274509803),   # 656364
+)
+
+_petroff10_data = (
+    (0.24705882352941178, 0.5647058823529412,  0.8549019607843137),    # 3f90da
+    (1.0,                 0.6627450980392157,  0.054901960784313725),  # ffa90e
+    (0.7411764705882353,  0.12156862745098039, 0.00392156862745098),   # bd1f01
+    (0.5803921568627451,  0.6431372549019608,  0.6352941176470588),    # 94a4a2
+    (0.5137254901960784,  0.17647058823529413, 0.7137254901960784),    # 832db6
+    (0.6627450980392157,  0.4196078431372549,  0.34901960784313724),   # a96b59
+    (0.9058823529411765,  0.38823529411764707, 0.0),                   # e76300
+    (0.7254901960784313,  0.6745098039215687,  0.4392156862745098),    # b9ac70
+    (0.44313725490196076, 0.4588235294117647,  0.5058823529411764),    # 717581
+    (0.5725490196078431,  0.8549019607843137,  0.8666666666666667),    # 92dadd
+)
+
+
 datad = {
+    'Blues': _Blues_data,
+    'BrBG': _BrBG_data,
+    'BuGn': _BuGn_data,
+    'BuPu': _BuPu_data,
+    'CMRmap': _CMRmap_data,
+    'GnBu': _GnBu_data,
+    'Greens': _Greens_data,
+    'Greys': _Greys_data,
+    'OrRd': _OrRd_data,
+    'Oranges': _Oranges_data,
+    'PRGn': _PRGn_data,
+    'PiYG': _PiYG_data,
+    'PuBu': _PuBu_data,
+    'PuBuGn': _PuBuGn_data,
+    'PuOr': _PuOr_data,
+    'PuRd': _PuRd_data,
+    'Purples': _Purples_data,
+    'RdBu': _RdBu_data,
+    'RdGy': _RdGy_data,
+    'RdPu': _RdPu_data,
+    'RdYlBu': _RdYlBu_data,
+    'RdYlGn': _RdYlGn_data,
+    'Reds': _Reds_data,
+    'Spectral': _Spectral_data,
+    'Wistia': _wistia_data,
+    'YlGn': _YlGn_data,
+    'YlGnBu': _YlGnBu_data,
+    'YlOrBr': _YlOrBr_data,
+    'YlOrRd': _YlOrRd_data,
     'afmhot': _afmhot_data,
     'autumn': _autumn_data,
-    'bone':   _bone_data,
     'binary': _binary_data,
-    'bwr':    _bwr_data,
-    'brg':    _brg_data,
-    'CMRmap': _CMRmap_data,
-    'cool':   _cool_data,
+    'bone': _bone_data,
+    'brg': _brg_data,
+    'bwr': _bwr_data,
+    'cool': _cool_data,
+    'coolwarm': _coolwarm_data,
     'copper': _copper_data,
     'cubehelix': _cubehelix_data,
-    'flag':   _flag_data,
+    'flag': _flag_data,
+    'gist_earth': _gist_earth_data,
+    'gist_gray': _gist_gray_data,
+    'gist_heat': _gist_heat_data,
+    'gist_ncar': _gist_ncar_data,
+    'gist_rainbow': _gist_rainbow_data,
+    'gist_stern': _gist_stern_data,
+    'gist_yarg': _gist_yarg_data,
     'gnuplot': _gnuplot_data,
     'gnuplot2': _gnuplot2_data,
-    'gray':  _gray_data,
-    'hot':    _hot_data,
-    'hsv':    _hsv_data,
-    'jet':   _jet_data,
-    'ocean':  _ocean_data,
-    'pink':   _pink_data,
-    'prism':  _prism_data,
+    'gray': _gray_data,
+    'hot': _hot_data,
+    'hsv': _hsv_data,
+    'jet': _jet_data,
+    'nipy_spectral': _nipy_spectral_data,
+    'ocean': _ocean_data,
+    'pink': _pink_data,
+    'prism': _prism_data,
     'rainbow': _rainbow_data,
     'seismic': _seismic_data,
     'spring': _spring_data,
     'summer': _summer_data,
     'terrain': _terrain_data,
     'winter': _winter_data,
-    'nipy_spectral': _nipy_spectral_data,
-    'spectral': _nipy_spectral_data, # alias for backward compatibility
-    }
-
-
-datad['Accent'] = _Accent_data
-datad['Blues'] = _Blues_data
-datad['BrBG'] = _BrBG_data
-datad['BuGn'] = _BuGn_data
-datad['BuPu'] = _BuPu_data
-datad['Dark2'] = _Dark2_data
-datad['GnBu'] = _GnBu_data
-datad['Greens'] = _Greens_data
-datad['Greys'] = _Greys_data
-datad['Oranges'] = _Oranges_data
-datad['OrRd'] = _OrRd_data
-datad['Paired'] = _Paired_data
-datad['Pastel1'] = _Pastel1_data
-datad['Pastel2'] = _Pastel2_data
-datad['PiYG'] = _PiYG_data
-datad['PRGn'] = _PRGn_data
-datad['PuBu'] = _PuBu_data
-datad['PuBuGn'] = _PuBuGn_data
-datad['PuOr'] = _PuOr_data
-datad['PuRd'] = _PuRd_data
-datad['Purples'] = _Purples_data
-datad['RdBu'] = _RdBu_data
-datad['RdGy'] = _RdGy_data
-datad['RdPu'] = _RdPu_data
-datad['RdYlBu'] = _RdYlBu_data
-datad['RdYlGn'] = _RdYlGn_data
-datad['Reds'] = _Reds_data
-datad['Set1'] = _Set1_data
-datad['Set2'] = _Set2_data
-datad['Set3'] = _Set3_data
-datad['Spectral'] = _Spectral_data
-datad['YlGn'] = _YlGn_data
-datad['YlGnBu'] = _YlGnBu_data
-datad['YlOrBr'] = _YlOrBr_data
-datad['YlOrRd'] = _YlOrRd_data
-datad['gist_earth'] = _gist_earth_data
-datad['gist_gray'] = _gist_gray_data
-datad['gist_heat'] = _gist_heat_data
-datad['gist_ncar'] = _gist_ncar_data
-datad['gist_rainbow'] = _gist_rainbow_data
-datad['gist_stern'] = _gist_stern_data
-datad['gist_yarg'] = _gist_yarg_data
-datad['coolwarm'] = _coolwarm_data
-datad['Wistia'] = _wistia_data
+    # Qualitative
+    'Accent': {'listed': _Accent_data},
+    'Dark2': {'listed': _Dark2_data},
+    'Paired': {'listed': _Paired_data},
+    'Pastel1': {'listed': _Pastel1_data},
+    'Pastel2': {'listed': _Pastel2_data},
+    'Set1': {'listed': _Set1_data},
+    'Set2': {'listed': _Set2_data},
+    'Set3': {'listed': _Set3_data},
+    'tab10': {'listed': _tab10_data},
+    'tab20': {'listed': _tab20_data},
+    'tab20b': {'listed': _tab20b_data},
+    'tab20c': {'listed': _tab20c_data},
+}
diff --git a/lib/matplotlib/_cm_bivar.py b/lib/matplotlib/_cm_bivar.py
new file mode 100644
index 000000000000..53c0d48d7d6c
--- /dev/null
+++ b/lib/matplotlib/_cm_bivar.py
@@ -0,0 +1,1312 @@
+# auto-generated by https://github.com/trygvrad/multivariate_colormaps
+# date: 2024-05-24
+
+import numpy as np
+from matplotlib.colors import SegmentedBivarColormap
+
+BiPeak = np.array(
+    [0.000, 0.674, 0.931, 0.000, 0.680, 0.922, 0.000, 0.685, 0.914, 0.000,
+     0.691, 0.906, 0.000, 0.696, 0.898, 0.000, 0.701, 0.890, 0.000, 0.706,
+     0.882, 0.000, 0.711, 0.875, 0.000, 0.715, 0.867, 0.000, 0.720, 0.860,
+     0.000, 0.725, 0.853, 0.000, 0.729, 0.845, 0.000, 0.733, 0.838, 0.000,
+     0.737, 0.831, 0.000, 0.741, 0.824, 0.000, 0.745, 0.816, 0.000, 0.749,
+     0.809, 0.000, 0.752, 0.802, 0.000, 0.756, 0.794, 0.000, 0.759, 0.787,
+     0.000, 0.762, 0.779, 0.000, 0.765, 0.771, 0.000, 0.767, 0.764, 0.000,
+     0.770, 0.755, 0.000, 0.772, 0.747, 0.000, 0.774, 0.739, 0.000, 0.776,
+     0.730, 0.000, 0.777, 0.721, 0.000, 0.779, 0.712, 0.021, 0.780, 0.702,
+     0.055, 0.781, 0.693, 0.079, 0.782, 0.682, 0.097, 0.782, 0.672, 0.111,
+     0.782, 0.661, 0.122, 0.782, 0.650, 0.132, 0.782, 0.639, 0.140, 0.781,
+     0.627, 0.147, 0.781, 0.615, 0.154, 0.780, 0.602, 0.159, 0.778, 0.589,
+     0.164, 0.777, 0.576, 0.169, 0.775, 0.563, 0.173, 0.773, 0.549, 0.177,
+     0.771, 0.535, 0.180, 0.768, 0.520, 0.184, 0.766, 0.505, 0.187, 0.763,
+     0.490, 0.190, 0.760, 0.474, 0.193, 0.756, 0.458, 0.196, 0.753, 0.442,
+     0.200, 0.749, 0.425, 0.203, 0.745, 0.408, 0.206, 0.741, 0.391, 0.210,
+     0.736, 0.373, 0.213, 0.732, 0.355, 0.216, 0.727, 0.337, 0.220, 0.722,
+     0.318, 0.224, 0.717, 0.298, 0.227, 0.712, 0.278, 0.231, 0.707, 0.258,
+     0.235, 0.701, 0.236, 0.239, 0.696, 0.214, 0.242, 0.690, 0.190, 0.246,
+     0.684, 0.165, 0.250, 0.678, 0.136, 0.000, 0.675, 0.934, 0.000, 0.681,
+     0.925, 0.000, 0.687, 0.917, 0.000, 0.692, 0.909, 0.000, 0.697, 0.901,
+     0.000, 0.703, 0.894, 0.000, 0.708, 0.886, 0.000, 0.713, 0.879, 0.000,
+     0.718, 0.872, 0.000, 0.722, 0.864, 0.000, 0.727, 0.857, 0.000, 0.731,
+     0.850, 0.000, 0.736, 0.843, 0.000, 0.740, 0.836, 0.000, 0.744, 0.829,
+     0.000, 0.748, 0.822, 0.000, 0.752, 0.815, 0.000, 0.755, 0.808, 0.000,
+     0.759, 0.800, 0.000, 0.762, 0.793, 0.000, 0.765, 0.786, 0.000, 0.768,
+     0.778, 0.000, 0.771, 0.770, 0.000, 0.773, 0.762, 0.051, 0.776, 0.754,
+     0.087, 0.778, 0.746, 0.111, 0.780, 0.737, 0.131, 0.782, 0.728, 0.146,
+     0.783, 0.719, 0.159, 0.784, 0.710, 0.171, 0.785, 0.700, 0.180, 0.786,
+     0.690, 0.189, 0.786, 0.680, 0.196, 0.787, 0.669, 0.202, 0.787, 0.658,
+     0.208, 0.786, 0.647, 0.213, 0.786, 0.635, 0.217, 0.785, 0.623, 0.221,
+     0.784, 0.610, 0.224, 0.782, 0.597, 0.227, 0.781, 0.584, 0.230, 0.779,
+     0.570, 0.232, 0.777, 0.556, 0.234, 0.775, 0.542, 0.236, 0.772, 0.527,
+     0.238, 0.769, 0.512, 0.240, 0.766, 0.497, 0.242, 0.763, 0.481, 0.244,
+     0.760, 0.465, 0.246, 0.756, 0.448, 0.248, 0.752, 0.432, 0.250, 0.748,
+     0.415, 0.252, 0.744, 0.397, 0.254, 0.739, 0.379, 0.256, 0.735, 0.361,
+     0.259, 0.730, 0.343, 0.261, 0.725, 0.324, 0.264, 0.720, 0.304, 0.266,
+     0.715, 0.284, 0.269, 0.709, 0.263, 0.271, 0.704, 0.242, 0.274, 0.698,
+     0.220, 0.277, 0.692, 0.196, 0.280, 0.686, 0.170, 0.283, 0.680, 0.143,
+     0.000, 0.676, 0.937, 0.000, 0.682, 0.928, 0.000, 0.688, 0.920, 0.000,
+     0.694, 0.913, 0.000, 0.699, 0.905, 0.000, 0.704, 0.897, 0.000, 0.710,
+     0.890, 0.000, 0.715, 0.883, 0.000, 0.720, 0.876, 0.000, 0.724, 0.869,
+     0.000, 0.729, 0.862, 0.000, 0.734, 0.855, 0.000, 0.738, 0.848, 0.000,
+     0.743, 0.841, 0.000, 0.747, 0.834, 0.000, 0.751, 0.827, 0.000, 0.755,
+     0.820, 0.000, 0.759, 0.813, 0.000, 0.762, 0.806, 0.003, 0.766, 0.799,
+     0.066, 0.769, 0.792, 0.104, 0.772, 0.784, 0.131, 0.775, 0.777, 0.152,
+     0.777, 0.769, 0.170, 0.780, 0.761, 0.185, 0.782, 0.753, 0.198, 0.784,
+     0.744, 0.209, 0.786, 0.736, 0.219, 0.787, 0.727, 0.228, 0.788, 0.717,
+     0.236, 0.789, 0.708, 0.243, 0.790, 0.698, 0.249, 0.791, 0.688, 0.254,
+     0.791, 0.677, 0.259, 0.791, 0.666, 0.263, 0.791, 0.654, 0.266, 0.790,
+     0.643, 0.269, 0.789, 0.631, 0.272, 0.788, 0.618, 0.274, 0.787, 0.605,
+     0.276, 0.785, 0.592, 0.278, 0.783, 0.578, 0.279, 0.781, 0.564, 0.280,
+     0.779, 0.549, 0.282, 0.776, 0.535, 0.283, 0.773, 0.519, 0.284, 0.770,
+     0.504, 0.285, 0.767, 0.488, 0.286, 0.763, 0.472, 0.287, 0.759, 0.455,
+     0.288, 0.756, 0.438, 0.289, 0.751, 0.421, 0.291, 0.747, 0.403, 0.292,
+     0.742, 0.385, 0.293, 0.738, 0.367, 0.295, 0.733, 0.348, 0.296, 0.728,
+     0.329, 0.298, 0.723, 0.310, 0.300, 0.717, 0.290, 0.302, 0.712, 0.269,
+     0.304, 0.706, 0.247, 0.306, 0.700, 0.225, 0.308, 0.694, 0.201, 0.310,
+     0.688, 0.176, 0.312, 0.682, 0.149, 0.000, 0.678, 0.939, 0.000, 0.683,
+     0.931, 0.000, 0.689, 0.923, 0.000, 0.695, 0.916, 0.000, 0.701, 0.908,
+     0.000, 0.706, 0.901, 0.000, 0.711, 0.894, 0.000, 0.717, 0.887, 0.000,
+     0.722, 0.880, 0.000, 0.727, 0.873, 0.000, 0.732, 0.866, 0.000, 0.736,
+     0.859, 0.000, 0.741, 0.853, 0.000, 0.745, 0.846, 0.000, 0.750, 0.839,
+     0.000, 0.754, 0.833, 0.035, 0.758, 0.826, 0.091, 0.762, 0.819, 0.126,
+     0.765, 0.812, 0.153, 0.769, 0.805, 0.174, 0.772, 0.798, 0.193, 0.775,
+     0.791, 0.209, 0.778, 0.783, 0.223, 0.781, 0.776, 0.236, 0.784, 0.768,
+     0.247, 0.786, 0.760, 0.257, 0.788, 0.752, 0.266, 0.790, 0.743, 0.273,
+     0.791, 0.734, 0.280, 0.793, 0.725, 0.287, 0.794, 0.715, 0.292, 0.794,
+     0.706, 0.297, 0.795, 0.695, 0.301, 0.795, 0.685, 0.305, 0.795, 0.674,
+     0.308, 0.795, 0.662, 0.310, 0.794, 0.651, 0.312, 0.794, 0.638, 0.314,
+     0.792, 0.626, 0.316, 0.791, 0.613, 0.317, 0.789, 0.599, 0.318, 0.787,
+     0.586, 0.319, 0.785, 0.571, 0.320, 0.783, 0.557, 0.320, 0.780, 0.542,
+     0.321, 0.777, 0.527, 0.321, 0.774, 0.511, 0.322, 0.770, 0.495, 0.322,
+     0.767, 0.478, 0.323, 0.763, 0.462, 0.323, 0.759, 0.445, 0.324, 0.755,
+     0.427, 0.325, 0.750, 0.410, 0.325, 0.745, 0.391, 0.326, 0.741, 0.373,
+     0.327, 0.736, 0.354, 0.328, 0.730, 0.335, 0.329, 0.725, 0.315, 0.330,
+     0.720, 0.295, 0.331, 0.714, 0.274, 0.333, 0.708, 0.253, 0.334, 0.702,
+     0.230, 0.336, 0.696, 0.207, 0.337, 0.690, 0.182, 0.339, 0.684, 0.154,
+     0.000, 0.679, 0.942, 0.000, 0.685, 0.934, 0.000, 0.691, 0.927, 0.000,
+     0.696, 0.919, 0.000, 0.702, 0.912, 0.000, 0.708, 0.905, 0.000, 0.713,
+     0.898, 0.000, 0.718, 0.891, 0.000, 0.724, 0.884, 0.000, 0.729, 0.877,
+     0.000, 0.734, 0.871, 0.000, 0.739, 0.864, 0.000, 0.743, 0.857, 0.035,
+     0.748, 0.851, 0.096, 0.752, 0.844, 0.133, 0.757, 0.838, 0.161, 0.761,
+     0.831, 0.185, 0.765, 0.825, 0.205, 0.769, 0.818, 0.223, 0.772, 0.811,
+     0.238, 0.776, 0.804, 0.252, 0.779, 0.797, 0.265, 0.782, 0.790, 0.276,
+     0.785, 0.783, 0.286, 0.788, 0.775, 0.296, 0.790, 0.767, 0.304, 0.792,
+     0.759, 0.311, 0.794, 0.751, 0.318, 0.796, 0.742, 0.324, 0.797, 0.733,
+     0.329, 0.798, 0.723, 0.334, 0.799, 0.714, 0.338, 0.799, 0.703, 0.341,
+     0.800, 0.693, 0.344, 0.800, 0.682, 0.347, 0.799, 0.670, 0.349, 0.799,
+     0.659, 0.351, 0.798, 0.646, 0.352, 0.797, 0.634, 0.353, 0.795, 0.621,
+     0.354, 0.794, 0.607, 0.354, 0.792, 0.593, 0.355, 0.789, 0.579, 0.355,
+     0.787, 0.564, 0.355, 0.784, 0.549, 0.355, 0.781, 0.534, 0.355, 0.778,
+     0.518, 0.355, 0.774, 0.502, 0.355, 0.770, 0.485, 0.355, 0.766, 0.468,
+     0.355, 0.762, 0.451, 0.355, 0.758, 0.434, 0.355, 0.753, 0.416, 0.356,
+     0.748, 0.397, 0.356, 0.743, 0.379, 0.356, 0.738, 0.360, 0.357, 0.733,
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+     0.850, 0.522, 0.902, 0.856, 0.528, 0.895, 0.862, 0.535, 0.888, 0.868,
+     0.541, 0.881, 0.874, 0.547, 0.875, 0.881, 0.552, 0.868, 0.887, 0.557,
+     0.861, 0.893, 0.562, 0.853, 0.899, 0.567, 0.846, 0.904, 0.571, 0.839,
+     0.910, 0.575, 0.831, 0.916, 0.579, 0.823, 0.921, 0.582, 0.815, 0.926,
+     0.585, 0.807, 0.932, 0.587, 0.798, 0.937, 0.590, 0.789, 0.941, 0.591,
+     0.780, 0.946, 0.593, 0.770, 0.950, 0.594, 0.760, 0.954, 0.595, 0.749,
+     0.958, 0.595, 0.738, 0.962, 0.595, 0.727, 0.965, 0.595, 0.715, 0.968,
+     0.594, 0.702, 0.970, 0.593, 0.689, 0.973, 0.591, 0.676, 0.975, 0.589,
+     0.662, 0.976, 0.587, 0.648, 0.978, 0.585, 0.633, 0.979, 0.582, 0.618,
+     0.980, 0.579, 0.602, 0.980, 0.575, 0.586, 0.980, 0.572, 0.570, 0.980,
+     0.568, 0.553, 0.979, 0.564, 0.536, 0.978, 0.559, 0.518, 0.977, 0.555,
+     0.501, 0.975, 0.550, 0.483, 0.974, 0.545, 0.465, 0.972, 0.540, 0.447,
+     0.969, 0.535, 0.428, 0.967, 0.529, 0.409, 0.964, 0.524, 0.390, 0.961,
+     0.518, 0.371, 0.958, 0.512, 0.352, 0.954, 0.506, 0.332, 0.951, 0.500,
+     0.312, 0.947, 0.494, 0.292, 0.943, 0.488, 0.272, 0.939, 0.481, 0.251,
+     0.935, 0.475, 0.229, 0.931, 0.469, 0.207, 0.926, 0.462, 0.184, 0.921,
+     0.455, 0.159, 0.917, 0.449, 0.133, 0.791, 0.427, 0.973, 0.797, 0.437,
+     0.964, 0.803, 0.446, 0.957, 0.809, 0.455, 0.949, 0.815, 0.464, 0.941,
+     0.821, 0.472, 0.934, 0.827, 0.480, 0.926, 0.834, 0.488, 0.919, 0.840,
+     0.495, 0.912, 0.846, 0.502, 0.905, 0.852, 0.509, 0.898, 0.858, 0.515,
+     0.891, 0.864, 0.522, 0.884, 0.870, 0.528, 0.877, 0.876, 0.533, 0.870,
+     0.882, 0.539, 0.862, 0.888, 0.544, 0.855, 0.894, 0.549, 0.848, 0.900,
+     0.553, 0.840, 0.906, 0.557, 0.833, 0.911, 0.561, 0.825, 0.916, 0.565,
+     0.817, 0.922, 0.568, 0.808, 0.927, 0.571, 0.800, 0.932, 0.573, 0.791,
+     0.937, 0.575, 0.782, 0.941, 0.577, 0.772, 0.946, 0.579, 0.762, 0.950,
+     0.580, 0.752, 0.954, 0.580, 0.741, 0.958, 0.581, 0.730, 0.961, 0.581,
+     0.718, 0.964, 0.580, 0.706, 0.967, 0.580, 0.694, 0.970, 0.578, 0.681,
+     0.972, 0.577, 0.667, 0.974, 0.575, 0.654, 0.976, 0.573, 0.639, 0.977,
+     0.571, 0.625, 0.978, 0.568, 0.610, 0.979, 0.565, 0.594, 0.979, 0.562,
+     0.578, 0.979, 0.558, 0.562, 0.979, 0.554, 0.545, 0.978, 0.550, 0.529,
+     0.977, 0.546, 0.511, 0.976, 0.542, 0.494, 0.975, 0.537, 0.476, 0.973,
+     0.532, 0.458, 0.971, 0.527, 0.440, 0.969, 0.522, 0.422, 0.967, 0.517,
+     0.403, 0.964, 0.511, 0.385, 0.961, 0.506, 0.366, 0.958, 0.500, 0.347,
+     0.955, 0.494, 0.327, 0.951, 0.488, 0.307, 0.947, 0.482, 0.287, 0.944,
+     0.476, 0.267, 0.940, 0.470, 0.246, 0.935, 0.464, 0.225, 0.931, 0.458,
+     0.203, 0.927, 0.451, 0.180, 0.922, 0.445, 0.155, 0.917, 0.438, 0.129,
+     0.795, 0.413, 0.970, 0.801, 0.423, 0.962, 0.807, 0.433, 0.954, 0.813,
+     0.442, 0.946, 0.818, 0.450, 0.938, 0.824, 0.459, 0.930, 0.830, 0.467,
+     0.923, 0.836, 0.474, 0.915, 0.842, 0.482, 0.908, 0.848, 0.489, 0.901,
+     0.854, 0.496, 0.894, 0.860, 0.502, 0.886, 0.866, 0.508, 0.879, 0.872,
+     0.514, 0.872, 0.878, 0.520, 0.864, 0.884, 0.525, 0.857, 0.890, 0.530,
+     0.850, 0.895, 0.535, 0.842, 0.901, 0.539, 0.834, 0.906, 0.543, 0.826,
+     0.912, 0.547, 0.818, 0.917, 0.551, 0.810, 0.922, 0.554, 0.801, 0.927,
+     0.557, 0.793, 0.932, 0.559, 0.783, 0.937, 0.561, 0.774, 0.941, 0.563,
+     0.764, 0.946, 0.564, 0.754, 0.950, 0.565, 0.744, 0.953, 0.566, 0.733,
+     0.957, 0.566, 0.722, 0.960, 0.566, 0.710, 0.963, 0.566, 0.698, 0.966,
+     0.565, 0.685, 0.969, 0.564, 0.673, 0.971, 0.563, 0.659, 0.973, 0.561,
+     0.645, 0.975, 0.559, 0.631, 0.976, 0.557, 0.617, 0.977, 0.554, 0.602,
+     0.978, 0.551, 0.586, 0.978, 0.548, 0.571, 0.978, 0.545, 0.554, 0.978,
+     0.541, 0.538, 0.977, 0.537, 0.521, 0.977, 0.533, 0.504, 0.976, 0.529,
+     0.487, 0.974, 0.524, 0.470, 0.973, 0.519, 0.452, 0.971, 0.515, 0.434,
+     0.969, 0.510, 0.416, 0.966, 0.504, 0.398, 0.964, 0.499, 0.379, 0.961,
+     0.494, 0.360, 0.958, 0.488, 0.341, 0.955, 0.482, 0.322, 0.951, 0.477,
+     0.302, 0.948, 0.471, 0.283, 0.944, 0.465, 0.262, 0.940, 0.459, 0.242,
+     0.936, 0.452, 0.220, 0.932, 0.446, 0.198, 0.927, 0.440, 0.175, 0.923,
+     0.434, 0.151, 0.918, 0.427, 0.124, 0.799, 0.399, 0.968, 0.804, 0.409,
+     0.959, 0.810, 0.419, 0.951, 0.816, 0.428, 0.943, 0.822, 0.437, 0.935,
+     0.827, 0.445, 0.927, 0.833, 0.453, 0.919, 0.839, 0.461, 0.912, 0.845,
+     0.468, 0.904, 0.851, 0.475, 0.897, 0.857, 0.482, 0.889, 0.862, 0.489,
+     0.882, 0.868, 0.495, 0.874, 0.874, 0.501, 0.867, 0.880, 0.506, 0.859,
+     0.885, 0.511, 0.852, 0.891, 0.516, 0.844, 0.897, 0.521, 0.836, 0.902,
+     0.525, 0.828, 0.907, 0.529, 0.820, 0.913, 0.533, 0.812, 0.918, 0.537,
+     0.803, 0.923, 0.540, 0.794, 0.928, 0.542, 0.785, 0.932, 0.545, 0.776,
+     0.937, 0.547, 0.767, 0.941, 0.549, 0.757, 0.945, 0.550, 0.747, 0.949,
+     0.551, 0.736, 0.953, 0.552, 0.725, 0.956, 0.552, 0.714, 0.960, 0.552,
+     0.702, 0.963, 0.552, 0.690, 0.965, 0.551, 0.677, 0.968, 0.550, 0.664,
+     0.970, 0.549, 0.651, 0.972, 0.547, 0.637, 0.974, 0.545, 0.623, 0.975,
+     0.543, 0.609, 0.976, 0.540, 0.594, 0.977, 0.537, 0.578, 0.977, 0.534,
+     0.563, 0.977, 0.531, 0.547, 0.977, 0.527, 0.531, 0.976, 0.524, 0.514,
+     0.976, 0.520, 0.497, 0.975, 0.516, 0.480, 0.973, 0.511, 0.463, 0.972,
+     0.507, 0.446, 0.970, 0.502, 0.428, 0.968, 0.497, 0.410, 0.966, 0.492,
+     0.392, 0.963, 0.487, 0.373, 0.960, 0.481, 0.355, 0.957, 0.476, 0.336,
+     0.954, 0.470, 0.317, 0.951, 0.465, 0.297, 0.947, 0.459, 0.278, 0.944,
+     0.453, 0.258, 0.940, 0.447, 0.237, 0.936, 0.441, 0.216, 0.932, 0.435,
+     0.194, 0.927, 0.429, 0.171, 0.923, 0.422, 0.147, 0.918, 0.416, 0.120,
+     0.802, 0.385, 0.965, 0.808, 0.395, 0.957, 0.813, 0.405, 0.948, 0.819,
+     0.414, 0.940, 0.825, 0.423, 0.932, 0.830, 0.431, 0.924, 0.836, 0.439,
+     0.916, 0.842, 0.447, 0.908, 0.847, 0.454, 0.900, 0.853, 0.462, 0.892,
+     0.859, 0.468, 0.885, 0.864, 0.475, 0.877, 0.870, 0.481, 0.869, 0.876,
+     0.487, 0.862, 0.881, 0.492, 0.854, 0.887, 0.498, 0.846, 0.892, 0.502,
+     0.838, 0.898, 0.507, 0.830, 0.903, 0.511, 0.822, 0.908, 0.515, 0.814,
+     0.913, 0.519, 0.805, 0.918, 0.522, 0.797, 0.923, 0.525, 0.788, 0.928,
+     0.528, 0.778, 0.932, 0.530, 0.769, 0.937, 0.532, 0.759, 0.941, 0.534,
+     0.749, 0.945, 0.535, 0.739, 0.949, 0.536, 0.728, 0.952, 0.537, 0.717,
+     0.956, 0.537, 0.706, 0.959, 0.537, 0.694, 0.962, 0.537, 0.682, 0.964,
+     0.536, 0.669, 0.967, 0.536, 0.656, 0.969, 0.534, 0.643, 0.971, 0.533,
+     0.629, 0.972, 0.531, 0.615, 0.974, 0.529, 0.601, 0.975, 0.526, 0.586,
+     0.975, 0.523, 0.571, 0.976, 0.521, 0.555, 0.976, 0.517, 0.540, 0.976,
+     0.514, 0.523, 0.975, 0.510, 0.507, 0.975, 0.506, 0.490, 0.974, 0.502,
+     0.474, 0.972, 0.498, 0.456, 0.971, 0.494, 0.439, 0.969, 0.489, 0.421,
+     0.967, 0.484, 0.404, 0.965, 0.479, 0.386, 0.963, 0.474, 0.367, 0.960,
+     0.469, 0.349, 0.957, 0.464, 0.330, 0.954, 0.458, 0.311, 0.951, 0.453,
+     0.292, 0.947, 0.447, 0.273, 0.944, 0.441, 0.253, 0.940, 0.435, 0.232,
+     0.936, 0.429, 0.211, 0.932, 0.423, 0.190, 0.927, 0.417, 0.167, 0.923,
+     0.411, 0.142, 0.919, 0.405, 0.116, 0.806, 0.370, 0.963, 0.811, 0.380,
+     0.954, 0.816, 0.390, 0.945, 0.822, 0.399, 0.937, 0.827, 0.408, 0.929,
+     0.833, 0.417, 0.920, 0.838, 0.425, 0.912, 0.844, 0.433, 0.904, 0.850,
+     0.440, 0.896, 0.855, 0.447, 0.888, 0.861, 0.454, 0.880, 0.866, 0.461,
+     0.872, 0.872, 0.467, 0.865, 0.877, 0.473, 0.857, 0.883, 0.478, 0.849,
+     0.888, 0.483, 0.841, 0.893, 0.488, 0.833, 0.899, 0.493, 0.824, 0.904,
+     0.497, 0.816, 0.909, 0.501, 0.807, 0.914, 0.505, 0.799, 0.919, 0.508,
+     0.790, 0.923, 0.511, 0.781, 0.928, 0.514, 0.771, 0.932, 0.516, 0.762,
+     0.937, 0.518, 0.752, 0.941, 0.520, 0.742, 0.945, 0.521, 0.731, 0.948,
+     0.522, 0.720, 0.952, 0.523, 0.709, 0.955, 0.523, 0.698, 0.958, 0.523,
+     0.686, 0.961, 0.523, 0.674, 0.964, 0.522, 0.661, 0.966, 0.521, 0.648,
+     0.968, 0.520, 0.635, 0.970, 0.518, 0.621, 0.971, 0.517, 0.607, 0.972,
+     0.514, 0.593, 0.973, 0.512, 0.578, 0.974, 0.509, 0.563, 0.975, 0.507,
+     0.548, 0.975, 0.503, 0.532, 0.975, 0.500, 0.516, 0.974, 0.497, 0.500,
+     0.974, 0.493, 0.483, 0.973, 0.489, 0.467, 0.971, 0.485, 0.450, 0.970,
+     0.480, 0.433, 0.968, 0.476, 0.415, 0.966, 0.471, 0.397, 0.964, 0.466,
+     0.380, 0.962, 0.461, 0.362, 0.959, 0.456, 0.343, 0.956, 0.451, 0.325,
+     0.953, 0.446, 0.306, 0.950, 0.440, 0.287, 0.947, 0.435, 0.268, 0.943,
+     0.429, 0.248, 0.939, 0.423, 0.228, 0.936, 0.417, 0.207, 0.931, 0.411,
+     0.185, 0.927, 0.405, 0.162, 0.923, 0.399, 0.138, 0.918, 0.393, 0.111,
+     0.809, 0.354, 0.960, 0.814, 0.364, 0.951, 0.819, 0.375, 0.942, 0.825,
+     0.384, 0.934, 0.830, 0.393, 0.925, 0.835, 0.402, 0.917, 0.841, 0.410,
+     0.908, 0.846, 0.418, 0.900, 0.852, 0.426, 0.892, 0.857, 0.433, 0.884,
+     0.863, 0.440, 0.876, 0.868, 0.446, 0.868, 0.873, 0.452, 0.860, 0.879,
+     0.458, 0.852, 0.884, 0.464, 0.843, 0.889, 0.469, 0.835, 0.894, 0.474,
+     0.827, 0.899, 0.478, 0.818, 0.904, 0.483, 0.810, 0.909, 0.486, 0.801,
+     0.914, 0.490, 0.792, 0.919, 0.493, 0.783, 0.923, 0.496, 0.774, 0.928,
+     0.499, 0.764, 0.932, 0.501, 0.755, 0.936, 0.503, 0.745, 0.940, 0.505,
+     0.734, 0.944, 0.506, 0.724, 0.948, 0.507, 0.713, 0.951, 0.508, 0.701,
+     0.954, 0.508, 0.690, 0.957, 0.508, 0.678, 0.960, 0.508, 0.666, 0.962,
+     0.507, 0.653, 0.965, 0.507, 0.640, 0.967, 0.505, 0.627, 0.968, 0.504,
+     0.613, 0.970, 0.502, 0.599, 0.971, 0.500, 0.585, 0.972, 0.498, 0.570,
+     0.973, 0.495, 0.555, 0.973, 0.493, 0.540, 0.973, 0.490, 0.525, 0.973,
+     0.486, 0.509, 0.973, 0.483, 0.493, 0.972, 0.479, 0.476, 0.971, 0.475,
+     0.460, 0.970, 0.471, 0.443, 0.969, 0.467, 0.426, 0.967, 0.463, 0.409,
+     0.965, 0.458, 0.391, 0.963, 0.453, 0.374, 0.961, 0.449, 0.356, 0.958,
+     0.444, 0.338, 0.956, 0.438, 0.319, 0.953, 0.433, 0.301, 0.949, 0.428,
+     0.282, 0.946, 0.422, 0.263, 0.943, 0.417, 0.243, 0.939, 0.411, 0.223,
+     0.935, 0.405, 0.202, 0.931, 0.399, 0.181, 0.927, 0.393, 0.158, 0.923,
+     0.387, 0.134, 0.918, 0.381, 0.107,
+     ]).reshape((65, 65, 3))
+
+BiOrangeBlue = np.array(
+    [0.000, 0.000, 0.000, 0.000, 0.062, 0.125, 0.000, 0.125, 0.250, 0.000,
+     0.188, 0.375, 0.000, 0.250, 0.500, 0.000, 0.312, 0.625, 0.000, 0.375,
+     0.750, 0.000, 0.438, 0.875, 0.000, 0.500, 1.000, 0.125, 0.062, 0.000,
+     0.125, 0.125, 0.125, 0.125, 0.188, 0.250, 0.125, 0.250, 0.375, 0.125,
+     0.312, 0.500, 0.125, 0.375, 0.625, 0.125, 0.438, 0.750, 0.125, 0.500,
+     0.875, 0.125, 0.562, 1.000, 0.250, 0.125, 0.000, 0.250, 0.188, 0.125,
+     0.250, 0.250, 0.250, 0.250, 0.312, 0.375, 0.250, 0.375, 0.500, 0.250,
+     0.438, 0.625, 0.250, 0.500, 0.750, 0.250, 0.562, 0.875, 0.250, 0.625,
+     1.000, 0.375, 0.188, 0.000, 0.375, 0.250, 0.125, 0.375, 0.312, 0.250,
+     0.375, 0.375, 0.375, 0.375, 0.438, 0.500, 0.375, 0.500, 0.625, 0.375,
+     0.562, 0.750, 0.375, 0.625, 0.875, 0.375, 0.688, 1.000, 0.500, 0.250,
+     0.000, 0.500, 0.312, 0.125, 0.500, 0.375, 0.250, 0.500, 0.438, 0.375,
+     0.500, 0.500, 0.500, 0.500, 0.562, 0.625, 0.500, 0.625, 0.750, 0.500,
+     0.688, 0.875, 0.500, 0.750, 1.000, 0.625, 0.312, 0.000, 0.625, 0.375,
+     0.125, 0.625, 0.438, 0.250, 0.625, 0.500, 0.375, 0.625, 0.562, 0.500,
+     0.625, 0.625, 0.625, 0.625, 0.688, 0.750, 0.625, 0.750, 0.875, 0.625,
+     0.812, 1.000, 0.750, 0.375, 0.000, 0.750, 0.438, 0.125, 0.750, 0.500,
+     0.250, 0.750, 0.562, 0.375, 0.750, 0.625, 0.500, 0.750, 0.688, 0.625,
+     0.750, 0.750, 0.750, 0.750, 0.812, 0.875, 0.750, 0.875, 1.000, 0.875,
+     0.438, 0.000, 0.875, 0.500, 0.125, 0.875, 0.562, 0.250, 0.875, 0.625,
+     0.375, 0.875, 0.688, 0.500, 0.875, 0.750, 0.625, 0.875, 0.812, 0.750,
+     0.875, 0.875, 0.875, 0.875, 0.938, 1.000, 1.000, 0.500, 0.000, 1.000,
+     0.562, 0.125, 1.000, 0.625, 0.250, 1.000, 0.688, 0.375, 1.000, 0.750,
+     0.500, 1.000, 0.812, 0.625, 1.000, 0.875, 0.750, 1.000, 0.938, 0.875,
+     1.000, 1.000, 1.000,
+     ]).reshape((9, 9, 3))
+
+cmaps = {
+    "BiPeak": SegmentedBivarColormap(
+        BiPeak, 256, "square", (.5, .5), name="BiPeak"),
+    "BiOrangeBlue": SegmentedBivarColormap(
+        BiOrangeBlue, 256, "square", (0, 0), name="BiOrangeBlue"),
+    "BiCone": SegmentedBivarColormap(BiPeak, 256, "circle", (.5, .5), name="BiCone"),
+}
diff --git a/lib/matplotlib/_cm_listed.py b/lib/matplotlib/_cm_listed.py
new file mode 100644
index 000000000000..b90e0a23acb0
--- /dev/null
+++ b/lib/matplotlib/_cm_listed.py
@@ -0,0 +1,2847 @@
+from .colors import ListedColormap
+
+_magma_data = [[0.001462, 0.000466, 0.013866],
+               [0.002258, 0.001295, 0.018331],
+               [0.003279, 0.002305, 0.023708],
+               [0.004512, 0.003490, 0.029965],
+               [0.005950, 0.004843, 0.037130],
+               [0.007588, 0.006356, 0.044973],
+               [0.009426, 0.008022, 0.052844],
+               [0.011465, 0.009828, 0.060750],
+               [0.013708, 0.011771, 0.068667],
+               [0.016156, 0.013840, 0.076603],
+               [0.018815, 0.016026, 0.084584],
+               [0.021692, 0.018320, 0.092610],
+               [0.024792, 0.020715, 0.100676],
+               [0.028123, 0.023201, 0.108787],
+               [0.031696, 0.025765, 0.116965],
+               [0.035520, 0.028397, 0.125209],
+               [0.039608, 0.031090, 0.133515],
+               [0.043830, 0.033830, 0.141886],
+               [0.048062, 0.036607, 0.150327],
+               [0.052320, 0.039407, 0.158841],
+               [0.056615, 0.042160, 0.167446],
+               [0.060949, 0.044794, 0.176129],
+               [0.065330, 0.047318, 0.184892],
+               [0.069764, 0.049726, 0.193735],
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+               [0.59891, 0.99638, 0.26038],
+               [0.61088, 0.99514, 0.25280],
+               [0.62233, 0.99366, 0.24579],
+               [0.63323, 0.99195, 0.23937],
+               [0.64362, 0.98999, 0.23356],
+               [0.65394, 0.98775, 0.22835],
+               [0.66428, 0.98524, 0.22370],
+               [0.67462, 0.98246, 0.21960],
+               [0.68494, 0.97941, 0.21602],
+               [0.69525, 0.97610, 0.21294],
+               [0.70553, 0.97255, 0.21032],
+               [0.71577, 0.96875, 0.20815],
+               [0.72596, 0.96470, 0.20640],
+               [0.73610, 0.96043, 0.20504],
+               [0.74617, 0.95593, 0.20406],
+               [0.75617, 0.95121, 0.20343],
+               [0.76608, 0.94627, 0.20311],
+               [0.77591, 0.94113, 0.20310],
+               [0.78563, 0.93579, 0.20336],
+               [0.79524, 0.93025, 0.20386],
+               [0.80473, 0.92452, 0.20459],
+               [0.81410, 0.91861, 0.20552],
+               [0.82333, 0.91253, 0.20663],
+               [0.83241, 0.90627, 0.20788],
+               [0.84133, 0.89986, 0.20926],
+               [0.85010, 0.89328, 0.21074],
+               [0.85868, 0.88655, 0.21230],
+               [0.86709, 0.87968, 0.21391],
+               [0.87530, 0.87267, 0.21555],
+               [0.88331, 0.86553, 0.21719],
+               [0.89112, 0.85826, 0.21880],
+               [0.89870, 0.85087, 0.22038],
+               [0.90605, 0.84337, 0.22188],
+               [0.91317, 0.83576, 0.22328],
+               [0.92004, 0.82806, 0.22456],
+               [0.92666, 0.82025, 0.22570],
+               [0.93301, 0.81236, 0.22667],
+               [0.93909, 0.80439, 0.22744],
+               [0.94489, 0.79634, 0.22800],
+               [0.95039, 0.78823, 0.22831],
+               [0.95560, 0.78005, 0.22836],
+               [0.96049, 0.77181, 0.22811],
+               [0.96507, 0.76352, 0.22754],
+               [0.96931, 0.75519, 0.22663],
+               [0.97323, 0.74682, 0.22536],
+               [0.97679, 0.73842, 0.22369],
+               [0.98000, 0.73000, 0.22161],
+               [0.98289, 0.72140, 0.21918],
+               [0.98549, 0.71250, 0.21650],
+               [0.98781, 0.70330, 0.21358],
+               [0.98986, 0.69382, 0.21043],
+               [0.99163, 0.68408, 0.20706],
+               [0.99314, 0.67408, 0.20348],
+               [0.99438, 0.66386, 0.19971],
+               [0.99535, 0.65341, 0.19577],
+               [0.99607, 0.64277, 0.19165],
+               [0.99654, 0.63193, 0.18738],
+               [0.99675, 0.62093, 0.18297],
+               [0.99672, 0.60977, 0.17842],
+               [0.99644, 0.59846, 0.17376],
+               [0.99593, 0.58703, 0.16899],
+               [0.99517, 0.57549, 0.16412],
+               [0.99419, 0.56386, 0.15918],
+               [0.99297, 0.55214, 0.15417],
+               [0.99153, 0.54036, 0.14910],
+               [0.98987, 0.52854, 0.14398],
+               [0.98799, 0.51667, 0.13883],
+               [0.98590, 0.50479, 0.13367],
+               [0.98360, 0.49291, 0.12849],
+               [0.98108, 0.48104, 0.12332],
+               [0.97837, 0.46920, 0.11817],
+               [0.97545, 0.45740, 0.11305],
+               [0.97234, 0.44565, 0.10797],
+               [0.96904, 0.43399, 0.10294],
+               [0.96555, 0.42241, 0.09798],
+               [0.96187, 0.41093, 0.09310],
+               [0.95801, 0.39958, 0.08831],
+               [0.95398, 0.38836, 0.08362],
+               [0.94977, 0.37729, 0.07905],
+               [0.94538, 0.36638, 0.07461],
+               [0.94084, 0.35566, 0.07031],
+               [0.93612, 0.34513, 0.06616],
+               [0.93125, 0.33482, 0.06218],
+               [0.92623, 0.32473, 0.05837],
+               [0.92105, 0.31489, 0.05475],
+               [0.91572, 0.30530, 0.05134],
+               [0.91024, 0.29599, 0.04814],
+               [0.90463, 0.28696, 0.04516],
+               [0.89888, 0.27824, 0.04243],
+               [0.89298, 0.26981, 0.03993],
+               [0.88691, 0.26152, 0.03753],
+               [0.88066, 0.25334, 0.03521],
+               [0.87422, 0.24526, 0.03297],
+               [0.86760, 0.23730, 0.03082],
+               [0.86079, 0.22945, 0.02875],
+               [0.85380, 0.22170, 0.02677],
+               [0.84662, 0.21407, 0.02487],
+               [0.83926, 0.20654, 0.02305],
+               [0.83172, 0.19912, 0.02131],
+               [0.82399, 0.19182, 0.01966],
+               [0.81608, 0.18462, 0.01809],
+               [0.80799, 0.17753, 0.01660],
+               [0.79971, 0.17055, 0.01520],
+               [0.79125, 0.16368, 0.01387],
+               [0.78260, 0.15693, 0.01264],
+               [0.77377, 0.15028, 0.01148],
+               [0.76476, 0.14374, 0.01041],
+               [0.75556, 0.13731, 0.00942],
+               [0.74617, 0.13098, 0.00851],
+               [0.73661, 0.12477, 0.00769],
+               [0.72686, 0.11867, 0.00695],
+               [0.71692, 0.11268, 0.00629],
+               [0.70680, 0.10680, 0.00571],
+               [0.69650, 0.10102, 0.00522],
+               [0.68602, 0.09536, 0.00481],
+               [0.67535, 0.08980, 0.00449],
+               [0.66449, 0.08436, 0.00424],
+               [0.65345, 0.07902, 0.00408],
+               [0.64223, 0.07380, 0.00401],
+               [0.63082, 0.06868, 0.00401],
+               [0.61923, 0.06367, 0.00410],
+               [0.60746, 0.05878, 0.00427],
+               [0.59550, 0.05399, 0.00453],
+               [0.58336, 0.04931, 0.00486],
+               [0.57103, 0.04474, 0.00529],
+               [0.55852, 0.04028, 0.00579],
+               [0.54583, 0.03593, 0.00638],
+               [0.53295, 0.03169, 0.00705],
+               [0.51989, 0.02756, 0.00780],
+               [0.50664, 0.02354, 0.00863],
+               [0.49321, 0.01963, 0.00955],
+               [0.47960, 0.01583, 0.01055]]
+
+_berlin_data = [
+    [0.62108, 0.69018, 0.99951],
+    [0.61216, 0.68923, 0.99537],
+    [0.6032, 0.68825, 0.99124],
+    [0.5942, 0.68726, 0.98709],
+    [0.58517, 0.68625, 0.98292],
+    [0.57609, 0.68522, 0.97873],
+    [0.56696, 0.68417, 0.97452],
+    [0.55779, 0.6831, 0.97029],
+    [0.54859, 0.68199, 0.96602],
+    [0.53933, 0.68086, 0.9617],
+    [0.53003, 0.67969, 0.95735],
+    [0.52069, 0.67848, 0.95294],
+    [0.51129, 0.67723, 0.94847],
+    [0.50186, 0.67591, 0.94392],
+    [0.49237, 0.67453, 0.9393],
+    [0.48283, 0.67308, 0.93457],
+    [0.47324, 0.67153, 0.92975],
+    [0.46361, 0.6699, 0.92481],
+    [0.45393, 0.66815, 0.91974],
+    [0.44421, 0.66628, 0.91452],
+    [0.43444, 0.66427, 0.90914],
+    [0.42465, 0.66212, 0.90359],
+    [0.41482, 0.65979, 0.89785],
+    [0.40498, 0.65729, 0.89191],
+    [0.39514, 0.65458, 0.88575],
+    [0.3853, 0.65167, 0.87937],
+    [0.37549, 0.64854, 0.87276],
+    [0.36574, 0.64516, 0.8659],
+    [0.35606, 0.64155, 0.8588],
+    [0.34645, 0.63769, 0.85145],
+    [0.33698, 0.63357, 0.84386],
+    [0.32764, 0.62919, 0.83602],
+    [0.31849, 0.62455, 0.82794],
+    [0.30954, 0.61966, 0.81963],
+    [0.30078, 0.6145, 0.81111],
+    [0.29231, 0.60911, 0.80238],
+    [0.2841, 0.60348, 0.79347],
+    [0.27621, 0.59763, 0.78439],
+    [0.26859, 0.59158, 0.77514],
+    [0.26131, 0.58534, 0.76578],
+    [0.25437, 0.57891, 0.7563],
+    [0.24775, 0.57233, 0.74672],
+    [0.24146, 0.5656, 0.73707],
+    [0.23552, 0.55875, 0.72735],
+    [0.22984, 0.5518, 0.7176],
+    [0.2245, 0.54475, 0.7078],
+    [0.21948, 0.53763, 0.698],
+    [0.21469, 0.53043, 0.68819],
+    [0.21017, 0.52319, 0.67838],
+    [0.20589, 0.5159, 0.66858],
+    [0.20177, 0.5086, 0.65879],
+    [0.19788, 0.50126, 0.64903],
+    [0.19417, 0.4939, 0.63929],
+    [0.19056, 0.48654, 0.62957],
+    [0.18711, 0.47918, 0.6199],
+    [0.18375, 0.47183, 0.61024],
+    [0.1805, 0.46447, 0.60062],
+    [0.17737, 0.45712, 0.59104],
+    [0.17426, 0.44979, 0.58148],
+    [0.17122, 0.44247, 0.57197],
+    [0.16824, 0.43517, 0.56249],
+    [0.16529, 0.42788, 0.55302],
+    [0.16244, 0.42061, 0.5436],
+    [0.15954, 0.41337, 0.53421],
+    [0.15674, 0.40615, 0.52486],
+    [0.15391, 0.39893, 0.51552],
+    [0.15112, 0.39176, 0.50623],
+    [0.14835, 0.38459, 0.49697],
+    [0.14564, 0.37746, 0.48775],
+    [0.14288, 0.37034, 0.47854],
+    [0.14014, 0.36326, 0.46939],
+    [0.13747, 0.3562, 0.46024],
+    [0.13478, 0.34916, 0.45115],
+    [0.13208, 0.34215, 0.44209],
+    [0.1294, 0.33517, 0.43304],
+    [0.12674, 0.3282, 0.42404],
+    [0.12409, 0.32126, 0.41507],
+    [0.12146, 0.31435, 0.40614],
+    [0.1189, 0.30746, 0.39723],
+    [0.11632, 0.30061, 0.38838],
+    [0.11373, 0.29378, 0.37955],
+    [0.11119, 0.28698, 0.37075],
+    [0.10861, 0.28022, 0.362],
+    [0.10616, 0.2735, 0.35328],
+    [0.10367, 0.26678, 0.34459],
+    [0.10118, 0.26011, 0.33595],
+    [0.098776, 0.25347, 0.32734],
+    [0.096347, 0.24685, 0.31878],
+    [0.094059, 0.24026, 0.31027],
+    [0.091788, 0.23373, 0.30176],
+    [0.089506, 0.22725, 0.29332],
+    [0.087341, 0.2208, 0.28491],
+    [0.085142, 0.21436, 0.27658],
+    [0.083069, 0.20798, 0.26825],
+    [0.081098, 0.20163, 0.25999],
+    [0.07913, 0.19536, 0.25178],
+    [0.077286, 0.18914, 0.24359],
+    [0.075571, 0.18294, 0.2355],
+    [0.073993, 0.17683, 0.22743],
+    [0.07241, 0.17079, 0.21943],
+    [0.071045, 0.1648, 0.2115],
+    [0.069767, 0.1589, 0.20363],
+    [0.068618, 0.15304, 0.19582],
+    [0.06756, 0.14732, 0.18812],
+    [0.066665, 0.14167, 0.18045],
+    [0.065923, 0.13608, 0.17292],
+    [0.065339, 0.1307, 0.16546],
+    [0.064911, 0.12535, 0.15817],
+    [0.064636, 0.12013, 0.15095],
+    [0.064517, 0.11507, 0.14389],
+    [0.064554, 0.11022, 0.13696],
+    [0.064749, 0.10543, 0.13023],
+    [0.0651, 0.10085, 0.12357],
+    [0.065383, 0.096469, 0.11717],
+    [0.065574, 0.092338, 0.11101],
+    [0.065892, 0.088201, 0.10498],
+    [0.066388, 0.084134, 0.099288],
+    [0.067108, 0.080051, 0.093829],
+    [0.068193, 0.076099, 0.08847],
+    [0.06972, 0.072283, 0.083025],
+    [0.071639, 0.068654, 0.077544],
+    [0.073978, 0.065058, 0.07211],
+    [0.076596, 0.061657, 0.066651],
+    [0.079637, 0.05855, 0.061133],
+    [0.082963, 0.055666, 0.055745],
+    [0.086537, 0.052997, 0.050336],
+    [0.090315, 0.050699, 0.04504],
+    [0.09426, 0.048753, 0.039773],
+    [0.098319, 0.047041, 0.034683],
+    [0.10246, 0.045624, 0.030074],
+    [0.10673, 0.044705, 0.026012],
+    [0.11099, 0.043972, 0.022379],
+    [0.11524, 0.043596, 0.01915],
+    [0.11955, 0.043567, 0.016299],
+    [0.12381, 0.043861, 0.013797],
+    [0.1281, 0.044459, 0.011588],
+    [0.13232, 0.045229, 0.0095315],
+    [0.13645, 0.046164, 0.0078947],
+    [0.14063, 0.047374, 0.006502],
+    [0.14488, 0.048634, 0.0053266],
+    [0.14923, 0.049836, 0.0043455],
+    [0.15369, 0.050997, 0.0035374],
+    [0.15831, 0.05213, 0.0028824],
+    [0.16301, 0.053218, 0.0023628],
+    [0.16781, 0.05424, 0.0019629],
+    [0.17274, 0.055172, 0.001669],
+    [0.1778, 0.056018, 0.0014692],
+    [0.18286, 0.05682, 0.0013401],
+    [0.18806, 0.057574, 0.0012617],
+    [0.19323, 0.058514, 0.0012261],
+    [0.19846, 0.05955, 0.0012271],
+    [0.20378, 0.060501, 0.0012601],
+    [0.20909, 0.061486, 0.0013221],
+    [0.21447, 0.06271, 0.0014116],
+    [0.2199, 0.063823, 0.0015287],
+    [0.22535, 0.065027, 0.0016748],
+    [0.23086, 0.066297, 0.0018529],
+    [0.23642, 0.067645, 0.0020675],
+    [0.24202, 0.069092, 0.0023247],
+    [0.24768, 0.070458, 0.0026319],
+    [0.25339, 0.071986, 0.0029984],
+    [0.25918, 0.07364, 0.003435],
+    [0.265, 0.075237, 0.0039545],
+    [0.27093, 0.076965, 0.004571],
+    [0.27693, 0.078822, 0.0053006],
+    [0.28302, 0.080819, 0.0061608],
+    [0.2892, 0.082879, 0.0071713],
+    [0.29547, 0.085075, 0.0083494],
+    [0.30186, 0.08746, 0.0097258],
+    [0.30839, 0.089912, 0.011455],
+    [0.31502, 0.09253, 0.013324],
+    [0.32181, 0.095392, 0.015413],
+    [0.32874, 0.098396, 0.01778],
+    [0.3358, 0.10158, 0.020449],
+    [0.34304, 0.10498, 0.02344],
+    [0.35041, 0.10864, 0.026771],
+    [0.35795, 0.11256, 0.030456],
+    [0.36563, 0.11666, 0.034571],
+    [0.37347, 0.12097, 0.039115],
+    [0.38146, 0.12561, 0.043693],
+    [0.38958, 0.13046, 0.048471],
+    [0.39785, 0.13547, 0.053136],
+    [0.40622, 0.1408, 0.057848],
+    [0.41469, 0.14627, 0.062715],
+    [0.42323, 0.15198, 0.067685],
+    [0.43184, 0.15791, 0.073044],
+    [0.44044, 0.16403, 0.07862],
+    [0.44909, 0.17027, 0.084644],
+    [0.4577, 0.17667, 0.090869],
+    [0.46631, 0.18321, 0.097335],
+    [0.4749, 0.18989, 0.10406],
+    [0.48342, 0.19668, 0.11104],
+    [0.49191, 0.20352, 0.11819],
+    [0.50032, 0.21043, 0.1255],
+    [0.50869, 0.21742, 0.13298],
+    [0.51698, 0.22443, 0.14062],
+    [0.5252, 0.23154, 0.14835],
+    [0.53335, 0.23862, 0.15626],
+    [0.54144, 0.24575, 0.16423],
+    [0.54948, 0.25292, 0.17226],
+    [0.55746, 0.26009, 0.1804],
+    [0.56538, 0.26726, 0.18864],
+    [0.57327, 0.27446, 0.19692],
+    [0.58111, 0.28167, 0.20524],
+    [0.58892, 0.28889, 0.21362],
+    [0.59672, 0.29611, 0.22205],
+    [0.60448, 0.30335, 0.23053],
+    [0.61223, 0.31062, 0.23905],
+    [0.61998, 0.31787, 0.24762],
+    [0.62771, 0.32513, 0.25619],
+    [0.63544, 0.33244, 0.26481],
+    [0.64317, 0.33975, 0.27349],
+    [0.65092, 0.34706, 0.28218],
+    [0.65866, 0.3544, 0.29089],
+    [0.66642, 0.36175, 0.29964],
+    [0.67419, 0.36912, 0.30842],
+    [0.68198, 0.37652, 0.31722],
+    [0.68978, 0.38392, 0.32604],
+    [0.6976, 0.39135, 0.33493],
+    [0.70543, 0.39879, 0.3438],
+    [0.71329, 0.40627, 0.35272],
+    [0.72116, 0.41376, 0.36166],
+    [0.72905, 0.42126, 0.37062],
+    [0.73697, 0.4288, 0.37962],
+    [0.7449, 0.43635, 0.38864],
+    [0.75285, 0.44392, 0.39768],
+    [0.76083, 0.45151, 0.40675],
+    [0.76882, 0.45912, 0.41584],
+    [0.77684, 0.46676, 0.42496],
+    [0.78488, 0.47441, 0.43409],
+    [0.79293, 0.48208, 0.44327],
+    [0.80101, 0.48976, 0.45246],
+    [0.80911, 0.49749, 0.46167],
+    [0.81722, 0.50521, 0.47091],
+    [0.82536, 0.51296, 0.48017],
+    [0.83352, 0.52073, 0.48945],
+    [0.84169, 0.52853, 0.49876],
+    [0.84988, 0.53634, 0.5081],
+    [0.85809, 0.54416, 0.51745],
+    [0.86632, 0.55201, 0.52683],
+    [0.87457, 0.55988, 0.53622],
+    [0.88283, 0.56776, 0.54564],
+    [0.89111, 0.57567, 0.55508],
+    [0.89941, 0.58358, 0.56455],
+    [0.90772, 0.59153, 0.57404],
+    [0.91603, 0.59949, 0.58355],
+    [0.92437, 0.60747, 0.59309],
+    [0.93271, 0.61546, 0.60265],
+    [0.94108, 0.62348, 0.61223],
+    [0.94945, 0.63151, 0.62183],
+    [0.95783, 0.63956, 0.63147],
+    [0.96622, 0.64763, 0.64111],
+    [0.97462, 0.65572, 0.65079],
+    [0.98303, 0.66382, 0.66049],
+    [0.99145, 0.67194, 0.67022],
+    [0.99987, 0.68007, 0.67995]]
+
+_managua_data = [
+    [1, 0.81263, 0.40424],
+    [0.99516, 0.80455, 0.40155],
+    [0.99024, 0.79649, 0.39888],
+    [0.98532, 0.78848, 0.39622],
+    [0.98041, 0.7805, 0.39356],
+    [0.97551, 0.77257, 0.39093],
+    [0.97062, 0.76468, 0.3883],
+    [0.96573, 0.75684, 0.38568],
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+    [0.13898, 0.17771, 0.077615],
+    [0.14273, 0.18382, 0.078814],
+    [0.14658, 0.1901, 0.080098],
+    [0.15058, 0.19654, 0.081473],
+    [0.15468, 0.20304, 0.08282],
+    [0.15891, 0.20968, 0.084315],
+    [0.16324, 0.21644, 0.085726],
+    [0.16764, 0.22326, 0.087378],
+    [0.17214, 0.23015, 0.088955],
+    [0.17673, 0.23717, 0.090617],
+    [0.18139, 0.24418, 0.092314],
+    [0.18615, 0.25132, 0.094071],
+    [0.19092, 0.25846, 0.095839],
+    [0.19578, 0.26567, 0.097702],
+    [0.20067, 0.2729, 0.099539],
+    [0.20564, 0.28016, 0.10144],
+    [0.21062, 0.28744, 0.10342],
+    [0.21565, 0.29475, 0.10534],
+    [0.22072, 0.30207, 0.10737],
+    [0.22579, 0.30942, 0.10942],
+    [0.23087, 0.31675, 0.11146],
+    [0.236, 0.32407, 0.11354],
+    [0.24112, 0.3314, 0.11563],
+    [0.24625, 0.33874, 0.11774],
+    [0.25142, 0.34605, 0.11988],
+    [0.25656, 0.35337, 0.12202],
+    [0.26171, 0.36065, 0.12422],
+    [0.26686, 0.36793, 0.12645],
+    [0.272, 0.37519, 0.12865],
+    [0.27717, 0.38242, 0.13092],
+    [0.28231, 0.38964, 0.13316],
+    [0.28741, 0.39682, 0.13541],
+    [0.29253, 0.40398, 0.13773],
+    [0.29763, 0.41111, 0.13998],
+    [0.30271, 0.4182, 0.14232],
+    [0.30778, 0.42527, 0.14466],
+    [0.31283, 0.43231, 0.14699],
+    [0.31787, 0.43929, 0.14937],
+    [0.32289, 0.44625, 0.15173],
+    [0.32787, 0.45318, 0.15414],
+    [0.33286, 0.46006, 0.1566],
+    [0.33781, 0.46693, 0.15904],
+    [0.34276, 0.47374, 0.16155],
+    [0.34769, 0.48054, 0.16407],
+    [0.3526, 0.48733, 0.16661],
+    [0.35753, 0.4941, 0.16923],
+    [0.36245, 0.50086, 0.17185],
+    [0.36738, 0.50764, 0.17458],
+    [0.37234, 0.51443, 0.17738],
+    [0.37735, 0.52125, 0.18022],
+    [0.38238, 0.52812, 0.18318],
+    [0.38746, 0.53505, 0.18626],
+    [0.39261, 0.54204, 0.18942],
+    [0.39783, 0.54911, 0.19272],
+    [0.40311, 0.55624, 0.19616],
+    [0.40846, 0.56348, 0.1997],
+    [0.4139, 0.57078, 0.20345],
+    [0.41942, 0.57819, 0.20734],
+    [0.42503, 0.5857, 0.2114],
+    [0.43071, 0.59329, 0.21565],
+    [0.43649, 0.60098, 0.22009],
+    [0.44237, 0.60878, 0.2247],
+    [0.44833, 0.61667, 0.22956],
+    [0.45439, 0.62465, 0.23468],
+    [0.46053, 0.63274, 0.23997],
+    [0.46679, 0.64092, 0.24553],
+    [0.47313, 0.64921, 0.25138],
+    [0.47959, 0.6576, 0.25745],
+    [0.48612, 0.66608, 0.26382],
+    [0.49277, 0.67466, 0.27047],
+    [0.49951, 0.68335, 0.2774],
+    [0.50636, 0.69213, 0.28464],
+    [0.51331, 0.70101, 0.2922],
+    [0.52035, 0.70998, 0.30008],
+    [0.5275, 0.71905, 0.30828],
+    [0.53474, 0.72821, 0.31682],
+    [0.54207, 0.73747, 0.32567],
+    [0.5495, 0.74682, 0.33491],
+    [0.55702, 0.75625, 0.34443],
+    [0.56461, 0.76577, 0.35434],
+    [0.5723, 0.77537, 0.36457],
+    [0.58006, 0.78506, 0.37515],
+    [0.58789, 0.79482, 0.38607],
+    [0.59581, 0.80465, 0.39734],
+    [0.60379, 0.81455, 0.40894],
+    [0.61182, 0.82453, 0.42086],
+    [0.61991, 0.83457, 0.43311],
+    [0.62805, 0.84467, 0.44566],
+    [0.63623, 0.85482, 0.45852],
+    [0.64445, 0.86503, 0.47168],
+    [0.6527, 0.8753, 0.48511],
+    [0.66099, 0.88562, 0.49882],
+    [0.6693, 0.89599, 0.51278],
+    [0.67763, 0.90641, 0.52699],
+    [0.68597, 0.91687, 0.54141],
+    [0.69432, 0.92738, 0.55605],
+    [0.70269, 0.93794, 0.5709],
+    [0.71107, 0.94855, 0.58593],
+    [0.71945, 0.9592, 0.60112],
+    [0.72782, 0.96989, 0.61646],
+    [0.7362, 0.98063, 0.63191],
+    [0.74458, 0.99141, 0.64748]]
+
+cmaps = {
+    name: ListedColormap(data, name=name) for name, data in [
+        ('magma', _magma_data),
+        ('inferno', _inferno_data),
+        ('plasma', _plasma_data),
+        ('viridis', _viridis_data),
+        ('cividis', _cividis_data),
+        ('twilight', _twilight_data),
+        ('twilight_shifted', _twilight_shifted_data),
+        ('turbo', _turbo_data),
+        ('berlin', _berlin_data),
+        ('managua', _managua_data),
+        ('vanimo', _vanimo_data),
+    ]}
diff --git a/lib/matplotlib/_cm_multivar.py b/lib/matplotlib/_cm_multivar.py
new file mode 100644
index 000000000000..610d7c40935b
--- /dev/null
+++ b/lib/matplotlib/_cm_multivar.py
@@ -0,0 +1,166 @@
+# auto-generated by https://github.com/trygvrad/multivariate_colormaps
+# date: 2024-05-28
+
+from .colors import LinearSegmentedColormap, MultivarColormap
+import matplotlib as mpl
+_LUTSIZE = mpl.rcParams['image.lut']
+
+_2VarAddA0_data = [[0.000, 0.000, 0.000],
+                   [0.020, 0.026, 0.031],
+                   [0.049, 0.068, 0.085],
+                   [0.075, 0.107, 0.135],
+                   [0.097, 0.144, 0.183],
+                   [0.116, 0.178, 0.231],
+                   [0.133, 0.212, 0.279],
+                   [0.148, 0.244, 0.326],
+                   [0.161, 0.276, 0.374],
+                   [0.173, 0.308, 0.422],
+                   [0.182, 0.339, 0.471],
+                   [0.190, 0.370, 0.521],
+                   [0.197, 0.400, 0.572],
+                   [0.201, 0.431, 0.623],
+                   [0.204, 0.461, 0.675],
+                   [0.204, 0.491, 0.728],
+                   [0.202, 0.520, 0.783],
+                   [0.197, 0.549, 0.838],
+                   [0.187, 0.577, 0.895]]
+
+_2VarAddA1_data = [[0.000, 0.000, 0.000],
+                   [0.030, 0.023, 0.018],
+                   [0.079, 0.060, 0.043],
+                   [0.125, 0.093, 0.065],
+                   [0.170, 0.123, 0.083],
+                   [0.213, 0.151, 0.098],
+                   [0.255, 0.177, 0.110],
+                   [0.298, 0.202, 0.120],
+                   [0.341, 0.226, 0.128],
+                   [0.384, 0.249, 0.134],
+                   [0.427, 0.271, 0.138],
+                   [0.472, 0.292, 0.141],
+                   [0.517, 0.313, 0.142],
+                   [0.563, 0.333, 0.141],
+                   [0.610, 0.353, 0.139],
+                   [0.658, 0.372, 0.134],
+                   [0.708, 0.390, 0.127],
+                   [0.759, 0.407, 0.118],
+                   [0.813, 0.423, 0.105]]
+
+_2VarSubA0_data = [[1.000, 1.000, 1.000],
+                   [0.959, 0.973, 0.986],
+                   [0.916, 0.948, 0.974],
+                   [0.874, 0.923, 0.965],
+                   [0.832, 0.899, 0.956],
+                   [0.790, 0.875, 0.948],
+                   [0.748, 0.852, 0.940],
+                   [0.707, 0.829, 0.934],
+                   [0.665, 0.806, 0.927],
+                   [0.624, 0.784, 0.921],
+                   [0.583, 0.762, 0.916],
+                   [0.541, 0.740, 0.910],
+                   [0.500, 0.718, 0.905],
+                   [0.457, 0.697, 0.901],
+                   [0.414, 0.675, 0.896],
+                   [0.369, 0.652, 0.892],
+                   [0.320, 0.629, 0.888],
+                   [0.266, 0.604, 0.884],
+                   [0.199, 0.574, 0.881]]
+
+_2VarSubA1_data = [[1.000, 1.000, 1.000],
+                   [0.982, 0.967, 0.955],
+                   [0.966, 0.935, 0.908],
+                   [0.951, 0.902, 0.860],
+                   [0.937, 0.870, 0.813],
+                   [0.923, 0.838, 0.765],
+                   [0.910, 0.807, 0.718],
+                   [0.898, 0.776, 0.671],
+                   [0.886, 0.745, 0.624],
+                   [0.874, 0.714, 0.577],
+                   [0.862, 0.683, 0.530],
+                   [0.851, 0.653, 0.483],
+                   [0.841, 0.622, 0.435],
+                   [0.831, 0.592, 0.388],
+                   [0.822, 0.561, 0.340],
+                   [0.813, 0.530, 0.290],
+                   [0.806, 0.498, 0.239],
+                   [0.802, 0.464, 0.184],
+                   [0.801, 0.426, 0.119]]
+
+_3VarAddA0_data = [[0.000, 0.000, 0.000],
+                   [0.018, 0.023, 0.028],
+                   [0.040, 0.056, 0.071],
+                   [0.059, 0.087, 0.110],
+                   [0.074, 0.114, 0.147],
+                   [0.086, 0.139, 0.183],
+                   [0.095, 0.163, 0.219],
+                   [0.101, 0.187, 0.255],
+                   [0.105, 0.209, 0.290],
+                   [0.107, 0.230, 0.326],
+                   [0.105, 0.251, 0.362],
+                   [0.101, 0.271, 0.398],
+                   [0.091, 0.291, 0.434],
+                   [0.075, 0.309, 0.471],
+                   [0.046, 0.325, 0.507],
+                   [0.021, 0.341, 0.546],
+                   [0.021, 0.363, 0.584],
+                   [0.022, 0.385, 0.622],
+                   [0.023, 0.408, 0.661]]
+
+_3VarAddA1_data = [[0.000, 0.000, 0.000],
+                   [0.020, 0.024, 0.016],
+                   [0.047, 0.058, 0.034],
+                   [0.072, 0.088, 0.048],
+                   [0.093, 0.116, 0.059],
+                   [0.113, 0.142, 0.067],
+                   [0.131, 0.167, 0.071],
+                   [0.149, 0.190, 0.074],
+                   [0.166, 0.213, 0.074],
+                   [0.182, 0.235, 0.072],
+                   [0.198, 0.256, 0.068],
+                   [0.215, 0.276, 0.061],
+                   [0.232, 0.296, 0.051],
+                   [0.249, 0.314, 0.037],
+                   [0.270, 0.330, 0.018],
+                   [0.288, 0.347, 0.000],
+                   [0.302, 0.369, 0.000],
+                   [0.315, 0.391, 0.000],
+                   [0.328, 0.414, 0.000]]
+
+_3VarAddA2_data = [[0.000, 0.000, 0.000],
+                   [0.029, 0.020, 0.023],
+                   [0.072, 0.045, 0.055],
+                   [0.111, 0.067, 0.084],
+                   [0.148, 0.085, 0.109],
+                   [0.184, 0.101, 0.133],
+                   [0.219, 0.115, 0.155],
+                   [0.254, 0.127, 0.176],
+                   [0.289, 0.138, 0.195],
+                   [0.323, 0.147, 0.214],
+                   [0.358, 0.155, 0.232],
+                   [0.393, 0.161, 0.250],
+                   [0.429, 0.166, 0.267],
+                   [0.467, 0.169, 0.283],
+                   [0.507, 0.168, 0.298],
+                   [0.546, 0.168, 0.313],
+                   [0.580, 0.172, 0.328],
+                   [0.615, 0.175, 0.341],
+                   [0.649, 0.178, 0.355]]
+
+cmaps = {
+    name: LinearSegmentedColormap.from_list(name, data, _LUTSIZE) for name, data in [
+        ('2VarAddA0', _2VarAddA0_data),
+        ('2VarAddA1', _2VarAddA1_data),
+        ('2VarSubA0', _2VarSubA0_data),
+        ('2VarSubA1', _2VarSubA1_data),
+        ('3VarAddA0', _3VarAddA0_data),
+        ('3VarAddA1', _3VarAddA1_data),
+        ('3VarAddA2', _3VarAddA2_data),
+    ]}
+
+cmap_families = {
+    '2VarAddA': MultivarColormap([cmaps[f'2VarAddA{i}'] for i in range(2)],
+                                 'sRGB_add', name='2VarAddA'),
+    '2VarSubA': MultivarColormap([cmaps[f'2VarSubA{i}'] for i in range(2)],
+                                 'sRGB_sub', name='2VarSubA'),
+    '3VarAddA': MultivarColormap([cmaps[f'3VarAddA{i}'] for i in range(3)],
+                                 'sRGB_add', name='3VarAddA'),
+}
diff --git a/lib/matplotlib/_color_data.py b/lib/matplotlib/_color_data.py
new file mode 100644
index 000000000000..44f97adbb76a
--- /dev/null
+++ b/lib/matplotlib/_color_data.py
@@ -0,0 +1,1141 @@
+BASE_COLORS = {
+    'b': (0, 0, 1),        # blue
+    'g': (0, 0.5, 0),      # green
+    'r': (1, 0, 0),        # red
+    'c': (0, 0.75, 0.75),  # cyan
+    'm': (0.75, 0, 0.75),  # magenta
+    'y': (0.75, 0.75, 0),  # yellow
+    'k': (0, 0, 0),        # black
+    'w': (1, 1, 1),        # white
+}
+
+
+# These colors are from Tableau
+TABLEAU_COLORS = {
+    'tab:blue': '#1f77b4',
+    'tab:orange': '#ff7f0e',
+    'tab:green': '#2ca02c',
+    'tab:red': '#d62728',
+    'tab:purple': '#9467bd',
+    'tab:brown': '#8c564b',
+    'tab:pink': '#e377c2',
+    'tab:gray': '#7f7f7f',
+    'tab:olive': '#bcbd22',
+    'tab:cyan': '#17becf',
+}
+
+
+# This mapping of color names -> hex values is taken from
+# a survey run by Randall Munroe see:
+# https://blog.xkcd.com/2010/05/03/color-survey-results/
+# for more details.  The results are hosted at
+# https://xkcd.com/color/rgb/
+# and also available as a text file at
+# https://xkcd.com/color/rgb.txt
+#
+# License: https://creativecommons.org/publicdomain/zero/1.0/
+XKCD_COLORS = {
+    'cloudy blue': '#acc2d9',
+    'dark pastel green': '#56ae57',
+    'dust': '#b2996e',
+    'electric lime': '#a8ff04',
+    'fresh green': '#69d84f',
+    'light eggplant': '#894585',
+    'nasty green': '#70b23f',
+    'really light blue': '#d4ffff',
+    'tea': '#65ab7c',
+    'warm purple': '#952e8f',
+    'yellowish tan': '#fcfc81',
+    'cement': '#a5a391',
+    'dark grass green': '#388004',
+    'dusty teal': '#4c9085',
+    'grey teal': '#5e9b8a',
+    'macaroni and cheese': '#efb435',
+    'pinkish tan': '#d99b82',
+    'spruce': '#0a5f38',
+    'strong blue': '#0c06f7',
+    'toxic green': '#61de2a',
+    'windows blue': '#3778bf',
+    'blue blue': '#2242c7',
+    'blue with a hint of purple': '#533cc6',
+    'booger': '#9bb53c',
+    'bright sea green': '#05ffa6',
+    'dark green blue': '#1f6357',
+    'deep turquoise': '#017374',
+    'green teal': '#0cb577',
+    'strong pink': '#ff0789',
+    'bland': '#afa88b',
+    'deep aqua': '#08787f',
+    'lavender pink': '#dd85d7',
+    'light moss green': '#a6c875',
+    'light seafoam green': '#a7ffb5',
+    'olive yellow': '#c2b709',
+    'pig pink': '#e78ea5',
+    'deep lilac': '#966ebd',
+    'desert': '#ccad60',
+    'dusty lavender': '#ac86a8',
+    'purpley grey': '#947e94',
+    'purply': '#983fb2',
+    'candy pink': '#ff63e9',
+    'light pastel green': '#b2fba5',
+    'boring green': '#63b365',
+    'kiwi green': '#8ee53f',
+    'light grey green': '#b7e1a1',
+    'orange pink': '#ff6f52',
+    'tea green': '#bdf8a3',
+    'very light brown': '#d3b683',
+    'egg shell': '#fffcc4',
+    'eggplant purple': '#430541',
+    'powder pink': '#ffb2d0',
+    'reddish grey': '#997570',
+    'baby shit brown': '#ad900d',
+    'liliac': '#c48efd',
+    'stormy blue': '#507b9c',
+    'ugly brown': '#7d7103',
+    'custard': '#fffd78',
+    'darkish pink': '#da467d',
+    'deep brown': '#410200',
+    'greenish beige': '#c9d179',
+    'manilla': '#fffa86',
+    'off blue': '#5684ae',
+    'battleship grey': '#6b7c85',
+    'browny green': '#6f6c0a',
+    'bruise': '#7e4071',
+    'kelley green': '#009337',
+    'sickly yellow': '#d0e429',
+    'sunny yellow': '#fff917',
+    'azul': '#1d5dec',
+    'darkgreen': '#054907',
+    'green/yellow': '#b5ce08',
+    'lichen': '#8fb67b',
+    'light light green': '#c8ffb0',
+    'pale gold': '#fdde6c',
+    'sun yellow': '#ffdf22',
+    'tan green': '#a9be70',
+    'burple': '#6832e3',
+    'butterscotch': '#fdb147',
+    'toupe': '#c7ac7d',
+    'dark cream': '#fff39a',
+    'indian red': '#850e04',
+    'light lavendar': '#efc0fe',
+    'poison green': '#40fd14',
+    'baby puke green': '#b6c406',
+    'bright yellow green': '#9dff00',
+    'charcoal grey': '#3c4142',
+    'squash': '#f2ab15',
+    'cinnamon': '#ac4f06',
+    'light pea green': '#c4fe82',
+    'radioactive green': '#2cfa1f',
+    'raw sienna': '#9a6200',
+    'baby purple': '#ca9bf7',
+    'cocoa': '#875f42',
+    'light royal blue': '#3a2efe',
+    'orangeish': '#fd8d49',
+    'rust brown': '#8b3103',
+    'sand brown': '#cba560',
+    'swamp': '#698339',
+    'tealish green': '#0cdc73',
+    'burnt siena': '#b75203',
+    'camo': '#7f8f4e',
+    'dusk blue': '#26538d',
+    'fern': '#63a950',
+    'old rose': '#c87f89',
+    'pale light green': '#b1fc99',
+    'peachy pink': '#ff9a8a',
+    'rosy pink': '#f6688e',
+    'light bluish green': '#76fda8',
+    'light bright green': '#53fe5c',
+    'light neon green': '#4efd54',
+    'light seafoam': '#a0febf',
+    'tiffany blue': '#7bf2da',
+    'washed out green': '#bcf5a6',
+    'browny orange': '#ca6b02',
+    'nice blue': '#107ab0',
+    'sapphire': '#2138ab',
+    'greyish teal': '#719f91',
+    'orangey yellow': '#fdb915',
+    'parchment': '#fefcaf',
+    'straw': '#fcf679',
+    'very dark brown': '#1d0200',
+    'terracota': '#cb6843',
+    'ugly blue': '#31668a',
+    'clear blue': '#247afd',
+    'creme': '#ffffb6',
+    'foam green': '#90fda9',
+    'grey/green': '#86a17d',
+    'light gold': '#fddc5c',
+    'seafoam blue': '#78d1b6',
+    'topaz': '#13bbaf',
+    'violet pink': '#fb5ffc',
+    'wintergreen': '#20f986',
+    'yellow tan': '#ffe36e',
+    'dark fuchsia': '#9d0759',
+    'indigo blue': '#3a18b1',
+    'light yellowish green': '#c2ff89',
+    'pale magenta': '#d767ad',
+    'rich purple': '#720058',
+    'sunflower yellow': '#ffda03',
+    'green/blue': '#01c08d',
+    'leather': '#ac7434',
+    'racing green': '#014600',
+    'vivid purple': '#9900fa',
+    'dark royal blue': '#02066f',
+    'hazel': '#8e7618',
+    'muted pink': '#d1768f',
+    'booger green': '#96b403',
+    'canary': '#fdff63',
+    'cool grey': '#95a3a6',
+    'dark taupe': '#7f684e',
+    'darkish purple': '#751973',
+    'true green': '#089404',
+    'coral pink': '#ff6163',
+    'dark sage': '#598556',
+    'dark slate blue': '#214761',
+    'flat blue': '#3c73a8',
+    'mushroom': '#ba9e88',
+    'rich blue': '#021bf9',
+    'dirty purple': '#734a65',
+    'greenblue': '#23c48b',
+    'icky green': '#8fae22',
+    'light khaki': '#e6f2a2',
+    'warm blue': '#4b57db',
+    'dark hot pink': '#d90166',
+    'deep sea blue': '#015482',
+    'carmine': '#9d0216',
+    'dark yellow green': '#728f02',
+    'pale peach': '#ffe5ad',
+    'plum purple': '#4e0550',
+    'golden rod': '#f9bc08',
+    'neon red': '#ff073a',
+    'old pink': '#c77986',
+    'very pale blue': '#d6fffe',
+    'blood orange': '#fe4b03',
+    'grapefruit': '#fd5956',
+    'sand yellow': '#fce166',
+    'clay brown': '#b2713d',
+    'dark blue grey': '#1f3b4d',
+    'flat green': '#699d4c',
+    'light green blue': '#56fca2',
+    'warm pink': '#fb5581',
+    'dodger blue': '#3e82fc',
+    'gross green': '#a0bf16',
+    'ice': '#d6fffa',
+    'metallic blue': '#4f738e',
+    'pale salmon': '#ffb19a',
+    'sap green': '#5c8b15',
+    'algae': '#54ac68',
+    'bluey grey': '#89a0b0',
+    'greeny grey': '#7ea07a',
+    'highlighter green': '#1bfc06',
+    'light light blue': '#cafffb',
+    'light mint': '#b6ffbb',
+    'raw umber': '#a75e09',
+    'vivid blue': '#152eff',
+    'deep lavender': '#8d5eb7',
+    'dull teal': '#5f9e8f',
+    'light greenish blue': '#63f7b4',
+    'mud green': '#606602',
+    'pinky': '#fc86aa',
+    'red wine': '#8c0034',
+    'shit green': '#758000',
+    'tan brown': '#ab7e4c',
+    'darkblue': '#030764',
+    'rosa': '#fe86a4',
+    'lipstick': '#d5174e',
+    'pale mauve': '#fed0fc',
+    'claret': '#680018',
+    'dandelion': '#fedf08',
+    'orangered': '#fe420f',
+    'poop green': '#6f7c00',
+    'ruby': '#ca0147',
+    'dark': '#1b2431',
+    'greenish turquoise': '#00fbb0',
+    'pastel red': '#db5856',
+    'piss yellow': '#ddd618',
+    'bright cyan': '#41fdfe',
+    'dark coral': '#cf524e',
+    'algae green': '#21c36f',
+    'darkish red': '#a90308',
+    'reddy brown': '#6e1005',
+    'blush pink': '#fe828c',
+    'camouflage green': '#4b6113',
+    'lawn green': '#4da409',
+    'putty': '#beae8a',
+    'vibrant blue': '#0339f8',
+    'dark sand': '#a88f59',
+    'purple/blue': '#5d21d0',
+    'saffron': '#feb209',
+    'twilight': '#4e518b',
+    'warm brown': '#964e02',
+    'bluegrey': '#85a3b2',
+    'bubble gum pink': '#ff69af',
+    'duck egg blue': '#c3fbf4',
+    'greenish cyan': '#2afeb7',
+    'petrol': '#005f6a',
+    'royal': '#0c1793',
+    'butter': '#ffff81',
+    'dusty orange': '#f0833a',
+    'off yellow': '#f1f33f',
+    'pale olive green': '#b1d27b',
+    'orangish': '#fc824a',
+    'leaf': '#71aa34',
+    'light blue grey': '#b7c9e2',
+    'dried blood': '#4b0101',
+    'lightish purple': '#a552e6',
+    'rusty red': '#af2f0d',
+    'lavender blue': '#8b88f8',
+    'light grass green': '#9af764',
+    'light mint green': '#a6fbb2',
+    'sunflower': '#ffc512',
+    'velvet': '#750851',
+    'brick orange': '#c14a09',
+    'lightish red': '#fe2f4a',
+    'pure blue': '#0203e2',
+    'twilight blue': '#0a437a',
+    'violet red': '#a50055',
+    'yellowy brown': '#ae8b0c',
+    'carnation': '#fd798f',
+    'muddy yellow': '#bfac05',
+    'dark seafoam green': '#3eaf76',
+    'deep rose': '#c74767',
+    'dusty red': '#b9484e',
+    'grey/blue': '#647d8e',
+    'lemon lime': '#bffe28',
+    'purple/pink': '#d725de',
+    'brown yellow': '#b29705',
+    'purple brown': '#673a3f',
+    'wisteria': '#a87dc2',
+    'banana yellow': '#fafe4b',
+    'lipstick red': '#c0022f',
+    'water blue': '#0e87cc',
+    'brown grey': '#8d8468',
+    'vibrant purple': '#ad03de',
+    'baby green': '#8cff9e',
+    'barf green': '#94ac02',
+    'eggshell blue': '#c4fff7',
+    'sandy yellow': '#fdee73',
+    'cool green': '#33b864',
+    'pale': '#fff9d0',
+    'blue/grey': '#758da3',
+    'hot magenta': '#f504c9',
+    'greyblue': '#77a1b5',
+    'purpley': '#8756e4',
+    'baby shit green': '#889717',
+    'brownish pink': '#c27e79',
+    'dark aquamarine': '#017371',
+    'diarrhea': '#9f8303',
+    'light mustard': '#f7d560',
+    'pale sky blue': '#bdf6fe',
+    'turtle green': '#75b84f',
+    'bright olive': '#9cbb04',
+    'dark grey blue': '#29465b',
+    'greeny brown': '#696006',
+    'lemon green': '#adf802',
+    'light periwinkle': '#c1c6fc',
+    'seaweed green': '#35ad6b',
+    'sunshine yellow': '#fffd37',
+    'ugly purple': '#a442a0',
+    'medium pink': '#f36196',
+    'puke brown': '#947706',
+    'very light pink': '#fff4f2',
+    'viridian': '#1e9167',
+    'bile': '#b5c306',
+    'faded yellow': '#feff7f',
+    'very pale green': '#cffdbc',
+    'vibrant green': '#0add08',
+    'bright lime': '#87fd05',
+    'spearmint': '#1ef876',
+    'light aquamarine': '#7bfdc7',
+    'light sage': '#bcecac',
+    'yellowgreen': '#bbf90f',
+    'baby poo': '#ab9004',
+    'dark seafoam': '#1fb57a',
+    'deep teal': '#00555a',
+    'heather': '#a484ac',
+    'rust orange': '#c45508',
+    'dirty blue': '#3f829d',
+    'fern green': '#548d44',
+    'bright lilac': '#c95efb',
+    'weird green': '#3ae57f',
+    'peacock blue': '#016795',
+    'avocado green': '#87a922',
+    'faded orange': '#f0944d',
+    'grape purple': '#5d1451',
+    'hot green': '#25ff29',
+    'lime yellow': '#d0fe1d',
+    'mango': '#ffa62b',
+    'shamrock': '#01b44c',
+    'bubblegum': '#ff6cb5',
+    'purplish brown': '#6b4247',
+    'vomit yellow': '#c7c10c',
+    'pale cyan': '#b7fffa',
+    'key lime': '#aeff6e',
+    'tomato red': '#ec2d01',
+    'lightgreen': '#76ff7b',
+    'merlot': '#730039',
+    'night blue': '#040348',
+    'purpleish pink': '#df4ec8',
+    'apple': '#6ecb3c',
+    'baby poop green': '#8f9805',
+    'green apple': '#5edc1f',
+    'heliotrope': '#d94ff5',
+    'yellow/green': '#c8fd3d',
+    'almost black': '#070d0d',
+    'cool blue': '#4984b8',
+    'leafy green': '#51b73b',
+    'mustard brown': '#ac7e04',
+    'dusk': '#4e5481',
+    'dull brown': '#876e4b',
+    'frog green': '#58bc08',
+    'vivid green': '#2fef10',
+    'bright light green': '#2dfe54',
+    'fluro green': '#0aff02',
+    'kiwi': '#9cef43',
+    'seaweed': '#18d17b',
+    'navy green': '#35530a',
+    'ultramarine blue': '#1805db',
+    'iris': '#6258c4',
+    'pastel orange': '#ff964f',
+    'yellowish orange': '#ffab0f',
+    'perrywinkle': '#8f8ce7',
+    'tealish': '#24bca8',
+    'dark plum': '#3f012c',
+    'pear': '#cbf85f',
+    'pinkish orange': '#ff724c',
+    'midnight purple': '#280137',
+    'light urple': '#b36ff6',
+    'dark mint': '#48c072',
+    'greenish tan': '#bccb7a',
+    'light burgundy': '#a8415b',
+    'turquoise blue': '#06b1c4',
+    'ugly pink': '#cd7584',
+    'sandy': '#f1da7a',
+    'electric pink': '#ff0490',
+    'muted purple': '#805b87',
+    'mid green': '#50a747',
+    'greyish': '#a8a495',
+    'neon yellow': '#cfff04',
+    'banana': '#ffff7e',
+    'carnation pink': '#ff7fa7',
+    'tomato': '#ef4026',
+    'sea': '#3c9992',
+    'muddy brown': '#886806',
+    'turquoise green': '#04f489',
+    'buff': '#fef69e',
+    'fawn': '#cfaf7b',
+    'muted blue': '#3b719f',
+    'pale rose': '#fdc1c5',
+    'dark mint green': '#20c073',
+    'amethyst': '#9b5fc0',
+    'blue/green': '#0f9b8e',
+    'chestnut': '#742802',
+    'sick green': '#9db92c',
+    'pea': '#a4bf20',
+    'rusty orange': '#cd5909',
+    'stone': '#ada587',
+    'rose red': '#be013c',
+    'pale aqua': '#b8ffeb',
+    'deep orange': '#dc4d01',
+    'earth': '#a2653e',
+    'mossy green': '#638b27',
+    'grassy green': '#419c03',
+    'pale lime green': '#b1ff65',
+    'light grey blue': '#9dbcd4',
+    'pale grey': '#fdfdfe',
+    'asparagus': '#77ab56',
+    'blueberry': '#464196',
+    'purple red': '#990147',
+    'pale lime': '#befd73',
+    'greenish teal': '#32bf84',
+    'caramel': '#af6f09',
+    'deep magenta': '#a0025c',
+    'light peach': '#ffd8b1',
+    'milk chocolate': '#7f4e1e',
+    'ocher': '#bf9b0c',
+    'off green': '#6ba353',
+    'purply pink': '#f075e6',
+    'lightblue': '#7bc8f6',
+    'dusky blue': '#475f94',
+    'golden': '#f5bf03',
+    'light beige': '#fffeb6',
+    'butter yellow': '#fffd74',
+    'dusky purple': '#895b7b',
+    'french blue': '#436bad',
+    'ugly yellow': '#d0c101',
+    'greeny yellow': '#c6f808',
+    'orangish red': '#f43605',
+    'shamrock green': '#02c14d',
+    'orangish brown': '#b25f03',
+    'tree green': '#2a7e19',
+    'deep violet': '#490648',
+    'gunmetal': '#536267',
+    'blue/purple': '#5a06ef',
+    'cherry': '#cf0234',
+    'sandy brown': '#c4a661',
+    'warm grey': '#978a84',
+    'dark indigo': '#1f0954',
+    'midnight': '#03012d',
+    'bluey green': '#2bb179',
+    'grey pink': '#c3909b',
+    'soft purple': '#a66fb5',
+    'blood': '#770001',
+    'brown red': '#922b05',
+    'medium grey': '#7d7f7c',
+    'berry': '#990f4b',
+    'poo': '#8f7303',
+    'purpley pink': '#c83cb9',
+    'light salmon': '#fea993',
+    'snot': '#acbb0d',
+    'easter purple': '#c071fe',
+    'light yellow green': '#ccfd7f',
+    'dark navy blue': '#00022e',
+    'drab': '#828344',
+    'light rose': '#ffc5cb',
+    'rouge': '#ab1239',
+    'purplish red': '#b0054b',
+    'slime green': '#99cc04',
+    'baby poop': '#937c00',
+    'irish green': '#019529',
+    'pink/purple': '#ef1de7',
+    'dark navy': '#000435',
+    'greeny blue': '#42b395',
+    'light plum': '#9d5783',
+    'pinkish grey': '#c8aca9',
+    'dirty orange': '#c87606',
+    'rust red': '#aa2704',
+    'pale lilac': '#e4cbff',
+    'orangey red': '#fa4224',
+    'primary blue': '#0804f9',
+    'kermit green': '#5cb200',
+    'brownish purple': '#76424e',
+    'murky green': '#6c7a0e',
+    'wheat': '#fbdd7e',
+    'very dark purple': '#2a0134',
+    'bottle green': '#044a05',
+    'watermelon': '#fd4659',
+    'deep sky blue': '#0d75f8',
+    'fire engine red': '#fe0002',
+    'yellow ochre': '#cb9d06',
+    'pumpkin orange': '#fb7d07',
+    'pale olive': '#b9cc81',
+    'light lilac': '#edc8ff',
+    'lightish green': '#61e160',
+    'carolina blue': '#8ab8fe',
+    'mulberry': '#920a4e',
+    'shocking pink': '#fe02a2',
+    'auburn': '#9a3001',
+    'bright lime green': '#65fe08',
+    'celadon': '#befdb7',
+    'pinkish brown': '#b17261',
+    'poo brown': '#885f01',
+    'bright sky blue': '#02ccfe',
+    'celery': '#c1fd95',
+    'dirt brown': '#836539',
+    'strawberry': '#fb2943',
+    'dark lime': '#84b701',
+    'copper': '#b66325',
+    'medium brown': '#7f5112',
+    'muted green': '#5fa052',
+    "robin's egg": '#6dedfd',
+    'bright aqua': '#0bf9ea',
+    'bright lavender': '#c760ff',
+    'ivory': '#ffffcb',
+    'very light purple': '#f6cefc',
+    'light navy': '#155084',
+    'pink red': '#f5054f',
+    'olive brown': '#645403',
+    'poop brown': '#7a5901',
+    'mustard green': '#a8b504',
+    'ocean green': '#3d9973',
+    'very dark blue': '#000133',
+    'dusty green': '#76a973',
+    'light navy blue': '#2e5a88',
+    'minty green': '#0bf77d',
+    'adobe': '#bd6c48',
+    'barney': '#ac1db8',
+    'jade green': '#2baf6a',
+    'bright light blue': '#26f7fd',
+    'light lime': '#aefd6c',
+    'dark khaki': '#9b8f55',
+    'orange yellow': '#ffad01',
+    'ocre': '#c69c04',
+    'maize': '#f4d054',
+    'faded pink': '#de9dac',
+    'british racing green': '#05480d',
+    'sandstone': '#c9ae74',
+    'mud brown': '#60460f',
+    'light sea green': '#98f6b0',
+    'robin egg blue': '#8af1fe',
+    'aqua marine': '#2ee8bb',
+    'dark sea green': '#11875d',
+    'soft pink': '#fdb0c0',
+    'orangey brown': '#b16002',
+    'cherry red': '#f7022a',
+    'burnt yellow': '#d5ab09',
+    'brownish grey': '#86775f',
+    'camel': '#c69f59',
+    'purplish grey': '#7a687f',
+    'marine': '#042e60',
+    'greyish pink': '#c88d94',
+    'pale turquoise': '#a5fbd5',
+    'pastel yellow': '#fffe71',
+    'bluey purple': '#6241c7',
+    'canary yellow': '#fffe40',
+    'faded red': '#d3494e',
+    'sepia': '#985e2b',
+    'coffee': '#a6814c',
+    'bright magenta': '#ff08e8',
+    'mocha': '#9d7651',
+    'ecru': '#feffca',
+    'purpleish': '#98568d',
+    'cranberry': '#9e003a',
+    'darkish green': '#287c37',
+    'brown orange': '#b96902',
+    'dusky rose': '#ba6873',
+    'melon': '#ff7855',
+    'sickly green': '#94b21c',
+    'silver': '#c5c9c7',
+    'purply blue': '#661aee',
+    'purpleish blue': '#6140ef',
+    'hospital green': '#9be5aa',
+    'shit brown': '#7b5804',
+    'mid blue': '#276ab3',
+    'amber': '#feb308',
+    'easter green': '#8cfd7e',
+    'soft blue': '#6488ea',
+    'cerulean blue': '#056eee',
+    'golden brown': '#b27a01',
+    'bright turquoise': '#0ffef9',
+    'red pink': '#fa2a55',
+    'red purple': '#820747',
+    'greyish brown': '#7a6a4f',
+    'vermillion': '#f4320c',
+    'russet': '#a13905',
+    'steel grey': '#6f828a',
+    'lighter purple': '#a55af4',
+    'bright violet': '#ad0afd',
+    'prussian blue': '#004577',
+    'slate green': '#658d6d',
+    'dirty pink': '#ca7b80',
+    'dark blue green': '#005249',
+    'pine': '#2b5d34',
+    'yellowy green': '#bff128',
+    'dark gold': '#b59410',
+    'bluish': '#2976bb',
+    'darkish blue': '#014182',
+    'dull red': '#bb3f3f',
+    'pinky red': '#fc2647',
+    'bronze': '#a87900',
+    'pale teal': '#82cbb2',
+    'military green': '#667c3e',
+    'barbie pink': '#fe46a5',
+    'bubblegum pink': '#fe83cc',
+    'pea soup green': '#94a617',
+    'dark mustard': '#a88905',
+    'shit': '#7f5f00',
+    'medium purple': '#9e43a2',
+    'very dark green': '#062e03',
+    'dirt': '#8a6e45',
+    'dusky pink': '#cc7a8b',
+    'red violet': '#9e0168',
+    'lemon yellow': '#fdff38',
+    'pistachio': '#c0fa8b',
+    'dull yellow': '#eedc5b',
+    'dark lime green': '#7ebd01',
+    'denim blue': '#3b5b92',
+    'teal blue': '#01889f',
+    'lightish blue': '#3d7afd',
+    'purpley blue': '#5f34e7',
+    'light indigo': '#6d5acf',
+    'swamp green': '#748500',
+    'brown green': '#706c11',
+    'dark maroon': '#3c0008',
+    'hot purple': '#cb00f5',
+    'dark forest green': '#002d04',
+    'faded blue': '#658cbb',
+    'drab green': '#749551',
+    'light lime green': '#b9ff66',
+    'snot green': '#9dc100',
+    'yellowish': '#faee66',
+    'light blue green': '#7efbb3',
+    'bordeaux': '#7b002c',
+    'light mauve': '#c292a1',
+    'ocean': '#017b92',
+    'marigold': '#fcc006',
+    'muddy green': '#657432',
+    'dull orange': '#d8863b',
+    'steel': '#738595',
+    'electric purple': '#aa23ff',
+    'fluorescent green': '#08ff08',
+    'yellowish brown': '#9b7a01',
+    'blush': '#f29e8e',
+    'soft green': '#6fc276',
+    'bright orange': '#ff5b00',
+    'lemon': '#fdff52',
+    'purple grey': '#866f85',
+    'acid green': '#8ffe09',
+    'pale lavender': '#eecffe',
+    'violet blue': '#510ac9',
+    'light forest green': '#4f9153',
+    'burnt red': '#9f2305',
+    'khaki green': '#728639',
+    'cerise': '#de0c62',
+    'faded purple': '#916e99',
+    'apricot': '#ffb16d',
+    'dark olive green': '#3c4d03',
+    'grey brown': '#7f7053',
+    'green grey': '#77926f',
+    'true blue': '#010fcc',
+    'pale violet': '#ceaefa',
+    'periwinkle blue': '#8f99fb',
+    'light sky blue': '#c6fcff',
+    'blurple': '#5539cc',
+    'green brown': '#544e03',
+    'bluegreen': '#017a79',
+    'bright teal': '#01f9c6',
+    'brownish yellow': '#c9b003',
+    'pea soup': '#929901',
+    'forest': '#0b5509',
+    'barney purple': '#a00498',
+    'ultramarine': '#2000b1',
+    'purplish': '#94568c',
+    'puke yellow': '#c2be0e',
+    'bluish grey': '#748b97',
+    'dark periwinkle': '#665fd1',
+    'dark lilac': '#9c6da5',
+    'reddish': '#c44240',
+    'light maroon': '#a24857',
+    'dusty purple': '#825f87',
+    'terra cotta': '#c9643b',
+    'avocado': '#90b134',
+    'marine blue': '#01386a',
+    'teal green': '#25a36f',
+    'slate grey': '#59656d',
+    'lighter green': '#75fd63',
+    'electric green': '#21fc0d',
+    'dusty blue': '#5a86ad',
+    'golden yellow': '#fec615',
+    'bright yellow': '#fffd01',
+    'light lavender': '#dfc5fe',
+    'umber': '#b26400',
+    'poop': '#7f5e00',
+    'dark peach': '#de7e5d',
+    'jungle green': '#048243',
+    'eggshell': '#ffffd4',
+    'denim': '#3b638c',
+    'yellow brown': '#b79400',
+    'dull purple': '#84597e',
+    'chocolate brown': '#411900',
+    'wine red': '#7b0323',
+    'neon blue': '#04d9ff',
+    'dirty green': '#667e2c',
+    'light tan': '#fbeeac',
+    'ice blue': '#d7fffe',
+    'cadet blue': '#4e7496',
+    'dark mauve': '#874c62',
+    'very light blue': '#d5ffff',
+    'grey purple': '#826d8c',
+    'pastel pink': '#ffbacd',
+    'very light green': '#d1ffbd',
+    'dark sky blue': '#448ee4',
+    'evergreen': '#05472a',
+    'dull pink': '#d5869d',
+    'aubergine': '#3d0734',
+    'mahogany': '#4a0100',
+    'reddish orange': '#f8481c',
+    'deep green': '#02590f',
+    'vomit green': '#89a203',
+    'purple pink': '#e03fd8',
+    'dusty pink': '#d58a94',
+    'faded green': '#7bb274',
+    'camo green': '#526525',
+    'pinky purple': '#c94cbe',
+    'pink purple': '#db4bda',
+    'brownish red': '#9e3623',
+    'dark rose': '#b5485d',
+    'mud': '#735c12',
+    'brownish': '#9c6d57',
+    'emerald green': '#028f1e',
+    'pale brown': '#b1916e',
+    'dull blue': '#49759c',
+    'burnt umber': '#a0450e',
+    'medium green': '#39ad48',
+    'clay': '#b66a50',
+    'light aqua': '#8cffdb',
+    'light olive green': '#a4be5c',
+    'brownish orange': '#cb7723',
+    'dark aqua': '#05696b',
+    'purplish pink': '#ce5dae',
+    'dark salmon': '#c85a53',
+    'greenish grey': '#96ae8d',
+    'jade': '#1fa774',
+    'ugly green': '#7a9703',
+    'dark beige': '#ac9362',
+    'emerald': '#01a049',
+    'pale red': '#d9544d',
+    'light magenta': '#fa5ff7',
+    'sky': '#82cafc',
+    'light cyan': '#acfffc',
+    'yellow orange': '#fcb001',
+    'reddish purple': '#910951',
+    'reddish pink': '#fe2c54',
+    'orchid': '#c875c4',
+    'dirty yellow': '#cdc50a',
+    'orange red': '#fd411e',
+    'deep red': '#9a0200',
+    'orange brown': '#be6400',
+    'cobalt blue': '#030aa7',
+    'neon pink': '#fe019a',
+    'rose pink': '#f7879a',
+    'greyish purple': '#887191',
+    'raspberry': '#b00149',
+    'aqua green': '#12e193',
+    'salmon pink': '#fe7b7c',
+    'tangerine': '#ff9408',
+    'brownish green': '#6a6e09',
+    'red brown': '#8b2e16',
+    'greenish brown': '#696112',
+    'pumpkin': '#e17701',
+    'pine green': '#0a481e',
+    'charcoal': '#343837',
+    'baby pink': '#ffb7ce',
+    'cornflower': '#6a79f7',
+    'blue violet': '#5d06e9',
+    'chocolate': '#3d1c02',
+    'greyish green': '#82a67d',
+    'scarlet': '#be0119',
+    'green yellow': '#c9ff27',
+    'dark olive': '#373e02',
+    'sienna': '#a9561e',
+    'pastel purple': '#caa0ff',
+    'terracotta': '#ca6641',
+    'aqua blue': '#02d8e9',
+    'sage green': '#88b378',
+    'blood red': '#980002',
+    'deep pink': '#cb0162',
+    'grass': '#5cac2d',
+    'moss': '#769958',
+    'pastel blue': '#a2bffe',
+    'bluish green': '#10a674',
+    'green blue': '#06b48b',
+    'dark tan': '#af884a',
+    'greenish blue': '#0b8b87',
+    'pale orange': '#ffa756',
+    'vomit': '#a2a415',
+    'forrest green': '#154406',
+    'dark lavender': '#856798',
+    'dark violet': '#34013f',
+    'purple blue': '#632de9',
+    'dark cyan': '#0a888a',
+    'olive drab': '#6f7632',
+    'pinkish': '#d46a7e',
+    'cobalt': '#1e488f',
+    'neon purple': '#bc13fe',
+    'light turquoise': '#7ef4cc',
+    'apple green': '#76cd26',
+    'dull green': '#74a662',
+    'wine': '#80013f',
+    'powder blue': '#b1d1fc',
+    'off white': '#ffffe4',
+    'electric blue': '#0652ff',
+    'dark turquoise': '#045c5a',
+    'blue purple': '#5729ce',
+    'azure': '#069af3',
+    'bright red': '#ff000d',
+    'pinkish red': '#f10c45',
+    'cornflower blue': '#5170d7',
+    'light olive': '#acbf69',
+    'grape': '#6c3461',
+    'greyish blue': '#5e819d',
+    'purplish blue': '#601ef9',
+    'yellowish green': '#b0dd16',
+    'greenish yellow': '#cdfd02',
+    'medium blue': '#2c6fbb',
+    'dusty rose': '#c0737a',
+    'light violet': '#d6b4fc',
+    'midnight blue': '#020035',
+    'bluish purple': '#703be7',
+    'red orange': '#fd3c06',
+    'dark magenta': '#960056',
+    'greenish': '#40a368',
+    'ocean blue': '#03719c',
+    'coral': '#fc5a50',
+    'cream': '#ffffc2',
+    'reddish brown': '#7f2b0a',
+    'burnt sienna': '#b04e0f',
+    'brick': '#a03623',
+    'sage': '#87ae73',
+    'grey green': '#789b73',
+    'white': '#ffffff',
+    "robin's egg blue": '#98eff9',
+    'moss green': '#658b38',
+    'steel blue': '#5a7d9a',
+    'eggplant': '#380835',
+    'light yellow': '#fffe7a',
+    'leaf green': '#5ca904',
+    'light grey': '#d8dcd6',
+    'puke': '#a5a502',
+    'pinkish purple': '#d648d7',
+    'sea blue': '#047495',
+    'pale purple': '#b790d4',
+    'slate blue': '#5b7c99',
+    'blue grey': '#607c8e',
+    'hunter green': '#0b4008',
+    'fuchsia': '#ed0dd9',
+    'crimson': '#8c000f',
+    'pale yellow': '#ffff84',
+    'ochre': '#bf9005',
+    'mustard yellow': '#d2bd0a',
+    'light red': '#ff474c',
+    'cerulean': '#0485d1',
+    'pale pink': '#ffcfdc',
+    'deep blue': '#040273',
+    'rust': '#a83c09',
+    'light teal': '#90e4c1',
+    'slate': '#516572',
+    'goldenrod': '#fac205',
+    'dark yellow': '#d5b60a',
+    'dark grey': '#363737',
+    'army green': '#4b5d16',
+    'grey blue': '#6b8ba4',
+    'seafoam': '#80f9ad',
+    'puce': '#a57e52',
+    'spring green': '#a9f971',
+    'dark orange': '#c65102',
+    'sand': '#e2ca76',
+    'pastel green': '#b0ff9d',
+    'mint': '#9ffeb0',
+    'light orange': '#fdaa48',
+    'bright pink': '#fe01b1',
+    'chartreuse': '#c1f80a',
+    'deep purple': '#36013f',
+    'dark brown': '#341c02',
+    'taupe': '#b9a281',
+    'pea green': '#8eab12',
+    'puke green': '#9aae07',
+    'kelly green': '#02ab2e',
+    'seafoam green': '#7af9ab',
+    'blue green': '#137e6d',
+    'khaki': '#aaa662',
+    'burgundy': '#610023',
+    'dark teal': '#014d4e',
+    'brick red': '#8f1402',
+    'royal purple': '#4b006e',
+    'plum': '#580f41',
+    'mint green': '#8fff9f',
+    'gold': '#dbb40c',
+    'baby blue': '#a2cffe',
+    'yellow green': '#c0fb2d',
+    'bright purple': '#be03fd',
+    'dark red': '#840000',
+    'pale blue': '#d0fefe',
+    'grass green': '#3f9b0b',
+    'navy': '#01153e',
+    'aquamarine': '#04d8b2',
+    'burnt orange': '#c04e01',
+    'neon green': '#0cff0c',
+    'bright blue': '#0165fc',
+    'rose': '#cf6275',
+    'light pink': '#ffd1df',
+    'mustard': '#ceb301',
+    'indigo': '#380282',
+    'lime': '#aaff32',
+    'sea green': '#53fca1',
+    'periwinkle': '#8e82fe',
+    'dark pink': '#cb416b',
+    'olive green': '#677a04',
+    'peach': '#ffb07c',
+    'pale green': '#c7fdb5',
+    'light brown': '#ad8150',
+    'hot pink': '#ff028d',
+    'black': '#000000',
+    'lilac': '#cea2fd',
+    'navy blue': '#001146',
+    'royal blue': '#0504aa',
+    'beige': '#e6daa6',
+    'salmon': '#ff796c',
+    'olive': '#6e750e',
+    'maroon': '#650021',
+    'bright green': '#01ff07',
+    'dark purple': '#35063e',
+    'mauve': '#ae7181',
+    'forest green': '#06470c',
+    'aqua': '#13eac9',
+    'cyan': '#00ffff',
+    'tan': '#d1b26f',
+    'dark blue': '#00035b',
+    'lavender': '#c79fef',
+    'turquoise': '#06c2ac',
+    'dark green': '#033500',
+    'violet': '#9a0eea',
+    'light purple': '#bf77f6',
+    'lime green': '#89fe05',
+    'grey': '#929591',
+    'sky blue': '#75bbfd',
+    'yellow': '#ffff14',
+    'magenta': '#c20078',
+    'light green': '#96f97b',
+    'orange': '#f97306',
+    'teal': '#029386',
+    'light blue': '#95d0fc',
+    'red': '#e50000',
+    'brown': '#653700',
+    'pink': '#ff81c0',
+    'blue': '#0343df',
+    'green': '#15b01a',
+    'purple': '#7e1e9c'}
+
+# Normalize name to "xkcd:<name>" to avoid name collisions.
+XKCD_COLORS = {'xkcd:' + name: value for name, value in XKCD_COLORS.items()}
+
+
+# https://drafts.csswg.org/css-color-4/#named-colors
+CSS4_COLORS = {
+    'aliceblue':            '#F0F8FF',
+    'antiquewhite':         '#FAEBD7',
+    'aqua':                 '#00FFFF',
+    'aquamarine':           '#7FFFD4',
+    'azure':                '#F0FFFF',
+    'beige':                '#F5F5DC',
+    'bisque':               '#FFE4C4',
+    'black':                '#000000',
+    'blanchedalmond':       '#FFEBCD',
+    'blue':                 '#0000FF',
+    'blueviolet':           '#8A2BE2',
+    'brown':                '#A52A2A',
+    'burlywood':            '#DEB887',
+    'cadetblue':            '#5F9EA0',
+    'chartreuse':           '#7FFF00',
+    'chocolate':            '#D2691E',
+    'coral':                '#FF7F50',
+    'cornflowerblue':       '#6495ED',
+    'cornsilk':             '#FFF8DC',
+    'crimson':              '#DC143C',
+    'cyan':                 '#00FFFF',
+    'darkblue':             '#00008B',
+    'darkcyan':             '#008B8B',
+    'darkgoldenrod':        '#B8860B',
+    'darkgray':             '#A9A9A9',
+    'darkgreen':            '#006400',
+    'darkgrey':             '#A9A9A9',
+    'darkkhaki':            '#BDB76B',
+    'darkmagenta':          '#8B008B',
+    'darkolivegreen':       '#556B2F',
+    'darkorange':           '#FF8C00',
+    'darkorchid':           '#9932CC',
+    'darkred':              '#8B0000',
+    'darksalmon':           '#E9967A',
+    'darkseagreen':         '#8FBC8F',
+    'darkslateblue':        '#483D8B',
+    'darkslategray':        '#2F4F4F',
+    'darkslategrey':        '#2F4F4F',
+    'darkturquoise':        '#00CED1',
+    'darkviolet':           '#9400D3',
+    'deeppink':             '#FF1493',
+    'deepskyblue':          '#00BFFF',
+    'dimgray':              '#696969',
+    'dimgrey':              '#696969',
+    'dodgerblue':           '#1E90FF',
+    'firebrick':            '#B22222',
+    'floralwhite':          '#FFFAF0',
+    'forestgreen':          '#228B22',
+    'fuchsia':              '#FF00FF',
+    'gainsboro':            '#DCDCDC',
+    'ghostwhite':           '#F8F8FF',
+    'gold':                 '#FFD700',
+    'goldenrod':            '#DAA520',
+    'gray':                 '#808080',
+    'green':                '#008000',
+    'greenyellow':          '#ADFF2F',
+    'grey':                 '#808080',
+    'honeydew':             '#F0FFF0',
+    'hotpink':              '#FF69B4',
+    'indianred':            '#CD5C5C',
+    'indigo':               '#4B0082',
+    'ivory':                '#FFFFF0',
+    'khaki':                '#F0E68C',
+    'lavender':             '#E6E6FA',
+    'lavenderblush':        '#FFF0F5',
+    'lawngreen':            '#7CFC00',
+    'lemonchiffon':         '#FFFACD',
+    'lightblue':            '#ADD8E6',
+    'lightcoral':           '#F08080',
+    'lightcyan':            '#E0FFFF',
+    'lightgoldenrodyellow': '#FAFAD2',
+    'lightgray':            '#D3D3D3',
+    'lightgreen':           '#90EE90',
+    'lightgrey':            '#D3D3D3',
+    'lightpink':            '#FFB6C1',
+    'lightsalmon':          '#FFA07A',
+    'lightseagreen':        '#20B2AA',
+    'lightskyblue':         '#87CEFA',
+    'lightslategray':       '#778899',
+    'lightslategrey':       '#778899',
+    'lightsteelblue':       '#B0C4DE',
+    'lightyellow':          '#FFFFE0',
+    'lime':                 '#00FF00',
+    'limegreen':            '#32CD32',
+    'linen':                '#FAF0E6',
+    'magenta':              '#FF00FF',
+    'maroon':               '#800000',
+    'mediumaquamarine':     '#66CDAA',
+    'mediumblue':           '#0000CD',
+    'mediumorchid':         '#BA55D3',
+    'mediumpurple':         '#9370DB',
+    'mediumseagreen':       '#3CB371',
+    'mediumslateblue':      '#7B68EE',
+    'mediumspringgreen':    '#00FA9A',
+    'mediumturquoise':      '#48D1CC',
+    'mediumvioletred':      '#C71585',
+    'midnightblue':         '#191970',
+    'mintcream':            '#F5FFFA',
+    'mistyrose':            '#FFE4E1',
+    'moccasin':             '#FFE4B5',
+    'navajowhite':          '#FFDEAD',
+    'navy':                 '#000080',
+    'oldlace':              '#FDF5E6',
+    'olive':                '#808000',
+    'olivedrab':            '#6B8E23',
+    'orange':               '#FFA500',
+    'orangered':            '#FF4500',
+    'orchid':               '#DA70D6',
+    'palegoldenrod':        '#EEE8AA',
+    'palegreen':            '#98FB98',
+    'paleturquoise':        '#AFEEEE',
+    'palevioletred':        '#DB7093',
+    'papayawhip':           '#FFEFD5',
+    'peachpuff':            '#FFDAB9',
+    'peru':                 '#CD853F',
+    'pink':                 '#FFC0CB',
+    'plum':                 '#DDA0DD',
+    'powderblue':           '#B0E0E6',
+    'purple':               '#800080',
+    'rebeccapurple':        '#663399',
+    'red':                  '#FF0000',
+    'rosybrown':            '#BC8F8F',
+    'royalblue':            '#4169E1',
+    'saddlebrown':          '#8B4513',
+    'salmon':               '#FA8072',
+    'sandybrown':           '#F4A460',
+    'seagreen':             '#2E8B57',
+    'seashell':             '#FFF5EE',
+    'sienna':               '#A0522D',
+    'silver':               '#C0C0C0',
+    'skyblue':              '#87CEEB',
+    'slateblue':            '#6A5ACD',
+    'slategray':            '#708090',
+    'slategrey':            '#708090',
+    'snow':                 '#FFFAFA',
+    'springgreen':          '#00FF7F',
+    'steelblue':            '#4682B4',
+    'tan':                  '#D2B48C',
+    'teal':                 '#008080',
+    'thistle':              '#D8BFD8',
+    'tomato':               '#FF6347',
+    'turquoise':            '#40E0D0',
+    'violet':               '#EE82EE',
+    'wheat':                '#F5DEB3',
+    'white':                '#FFFFFF',
+    'whitesmoke':           '#F5F5F5',
+    'yellow':               '#FFFF00',
+    'yellowgreen':          '#9ACD32'}
diff --git a/lib/matplotlib/_color_data.pyi b/lib/matplotlib/_color_data.pyi
new file mode 100644
index 000000000000..feb3de9c3043
--- /dev/null
+++ b/lib/matplotlib/_color_data.pyi
@@ -0,0 +1,6 @@
+from .typing import ColorType
+
+BASE_COLORS: dict[str, ColorType]
+TABLEAU_COLORS: dict[str, ColorType]
+XKCD_COLORS: dict[str, ColorType]
+CSS4_COLORS: dict[str, ColorType]
diff --git a/lib/matplotlib/_constrained_layout.py b/lib/matplotlib/_constrained_layout.py
new file mode 100644
index 000000000000..f5f23581bd9d
--- /dev/null
+++ b/lib/matplotlib/_constrained_layout.py
@@ -0,0 +1,805 @@
+"""
+Adjust subplot layouts so that there are no overlapping Axes or Axes
+decorations.  All Axes decorations are dealt with (labels, ticks, titles,
+ticklabels) and some dependent artists are also dealt with (colorbar,
+suptitle).
+
+Layout is done via `~matplotlib.gridspec`, with one constraint per gridspec,
+so it is possible to have overlapping Axes if the gridspecs overlap (i.e.
+using `~matplotlib.gridspec.GridSpecFromSubplotSpec`).  Axes placed using
+``figure.subplots()`` or ``figure.add_subplots()`` will participate in the
+layout.  Axes manually placed via ``figure.add_axes()`` will not.
+
+See Tutorial: :ref:`constrainedlayout_guide`
+
+General idea:
+-------------
+
+First, a figure has a gridspec that divides the figure into nrows and ncols,
+with heights and widths set by ``height_ratios`` and ``width_ratios``,
+often just set to 1 for an equal grid.
+
+Subplotspecs that are derived from this gridspec can contain either a
+``SubPanel``, a ``GridSpecFromSubplotSpec``, or an ``Axes``.  The ``SubPanel``
+and ``GridSpecFromSubplotSpec`` are dealt with recursively and each contain an
+analogous layout.
+
+Each ``GridSpec`` has a ``_layoutgrid`` attached to it.  The ``_layoutgrid``
+has the same logical layout as the ``GridSpec``.   Each row of the grid spec
+has a top and bottom "margin" and each column has a left and right "margin".
+The "inner" height of each row is constrained to be the same (or as modified
+by ``height_ratio``), and the "inner" width of each column is
+constrained to be the same (as modified by ``width_ratio``), where "inner"
+is the width or height of each column/row minus the size of the margins.
+
+Then the size of the margins for each row and column are determined as the
+max width of the decorators on each Axes that has decorators in that margin.
+For instance, a normal Axes would have a left margin that includes the
+left ticklabels, and the ylabel if it exists.  The right margin may include a
+colorbar, the bottom margin the xaxis decorations, and the top margin the
+title.
+
+With these constraints, the solver then finds appropriate bounds for the
+columns and rows.  It's possible that the margins take up the whole figure,
+in which case the algorithm is not applied and a warning is raised.
+
+See the tutorial :ref:`constrainedlayout_guide`
+for more discussion of the algorithm with examples.
+"""
+
+import logging
+
+import numpy as np
+
+from matplotlib import _api, artist as martist
+import matplotlib.transforms as mtransforms
+import matplotlib._layoutgrid as mlayoutgrid
+
+
+_log = logging.getLogger(__name__)
+
+
+######################################################
+def do_constrained_layout(fig, h_pad, w_pad,
+                          hspace=None, wspace=None, rect=(0, 0, 1, 1),
+                          compress=False):
+    """
+    Do the constrained_layout.  Called at draw time in
+     ``figure.constrained_layout()``
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        `.Figure` instance to do the layout in.
+
+    h_pad, w_pad : float
+      Padding around the Axes elements in figure-normalized units.
+
+    hspace, wspace : float
+       Fraction of the figure to dedicate to space between the
+       Axes.  These are evenly spread between the gaps between the Axes.
+       A value of 0.2 for a three-column layout would have a space
+       of 0.1 of the figure width between each column.
+       If h/wspace < h/w_pad, then the pads are used instead.
+
+    rect : tuple of 4 floats
+        Rectangle in figure coordinates to perform constrained layout in
+        [left, bottom, width, height], each from 0-1.
+
+    compress : bool
+        Whether to shift Axes so that white space in between them is
+        removed. This is useful for simple grids of fixed-aspect Axes (e.g.
+        a grid of images).
+
+    Returns
+    -------
+    layoutgrid : private debugging structure
+    """
+
+    renderer = fig._get_renderer()
+    # make layoutgrid tree...
+    layoutgrids = make_layoutgrids(fig, None, rect=rect)
+    if not layoutgrids['hasgrids']:
+        _api.warn_external('There are no gridspecs with layoutgrids. '
+                           'Possibly did not call parent GridSpec with the'
+                           ' "figure" keyword')
+        return
+
+    for _ in range(2):
+        # do the algorithm twice.  This has to be done because decorations
+        # change size after the first re-position (i.e. x/yticklabels get
+        # larger/smaller).  This second reposition tends to be much milder,
+        # so doing twice makes things work OK.
+
+        # make margins for all the Axes and subfigures in the
+        # figure.  Add margins for colorbars...
+        make_layout_margins(layoutgrids, fig, renderer, h_pad=h_pad,
+                            w_pad=w_pad, hspace=hspace, wspace=wspace)
+        make_margin_suptitles(layoutgrids, fig, renderer, h_pad=h_pad,
+                              w_pad=w_pad)
+
+        # if a layout is such that a columns (or rows) margin has no
+        # constraints, we need to make all such instances in the grid
+        # match in margin size.
+        match_submerged_margins(layoutgrids, fig)
+
+        # update all the variables in the layout.
+        layoutgrids[fig].update_variables()
+
+        warn_collapsed = ('constrained_layout not applied because '
+                          'axes sizes collapsed to zero.  Try making '
+                          'figure larger or Axes decorations smaller.')
+        if check_no_collapsed_axes(layoutgrids, fig):
+            reposition_axes(layoutgrids, fig, renderer, h_pad=h_pad,
+                            w_pad=w_pad, hspace=hspace, wspace=wspace)
+            if compress:
+                layoutgrids = compress_fixed_aspect(layoutgrids, fig)
+                layoutgrids[fig].update_variables()
+                if check_no_collapsed_axes(layoutgrids, fig):
+                    reposition_axes(layoutgrids, fig, renderer, h_pad=h_pad,
+                                    w_pad=w_pad, hspace=hspace, wspace=wspace)
+                else:
+                    _api.warn_external(warn_collapsed)
+
+                if ((suptitle := fig._suptitle) is not None and
+                        suptitle.get_in_layout() and suptitle._autopos):
+                    x, _ = suptitle.get_position()
+                    suptitle.set_position(
+                        (x, layoutgrids[fig].get_inner_bbox().y1 + h_pad))
+                    suptitle.set_verticalalignment('bottom')
+        else:
+            _api.warn_external(warn_collapsed)
+        reset_margins(layoutgrids, fig)
+    return layoutgrids
+
+
+def make_layoutgrids(fig, layoutgrids, rect=(0, 0, 1, 1)):
+    """
+    Make the layoutgrid tree.
+
+    (Sub)Figures get a layoutgrid so we can have figure margins.
+
+    Gridspecs that are attached to Axes get a layoutgrid so Axes
+    can have margins.
+    """
+
+    if layoutgrids is None:
+        layoutgrids = dict()
+        layoutgrids['hasgrids'] = False
+    if not hasattr(fig, '_parent'):
+        # top figure;  pass rect as parent to allow user-specified
+        # margins
+        layoutgrids[fig] = mlayoutgrid.LayoutGrid(parent=rect, name='figlb')
+    else:
+        # subfigure
+        gs = fig._subplotspec.get_gridspec()
+        # it is possible the gridspec containing this subfigure hasn't
+        # been added to the tree yet:
+        layoutgrids = make_layoutgrids_gs(layoutgrids, gs)
+        # add the layoutgrid for the subfigure:
+        parentlb = layoutgrids[gs]
+        layoutgrids[fig] = mlayoutgrid.LayoutGrid(
+            parent=parentlb,
+            name='panellb',
+            parent_inner=True,
+            nrows=1, ncols=1,
+            parent_pos=(fig._subplotspec.rowspan,
+                        fig._subplotspec.colspan))
+    # recursively do all subfigures in this figure...
+    for sfig in fig.subfigs:
+        layoutgrids = make_layoutgrids(sfig, layoutgrids)
+
+    # for each Axes at the local level add its gridspec:
+    for ax in fig._localaxes:
+        gs = ax.get_gridspec()
+        if gs is not None:
+            layoutgrids = make_layoutgrids_gs(layoutgrids, gs)
+
+    return layoutgrids
+
+
+def make_layoutgrids_gs(layoutgrids, gs):
+    """
+    Make the layoutgrid for a gridspec (and anything nested in the gridspec)
+    """
+
+    if gs in layoutgrids or gs.figure is None:
+        return layoutgrids
+    # in order to do constrained_layout there has to be at least *one*
+    # gridspec in the tree:
+    layoutgrids['hasgrids'] = True
+    if not hasattr(gs, '_subplot_spec'):
+        # normal gridspec
+        parent = layoutgrids[gs.figure]
+        layoutgrids[gs] = mlayoutgrid.LayoutGrid(
+                parent=parent,
+                parent_inner=True,
+                name='gridspec',
+                ncols=gs._ncols, nrows=gs._nrows,
+                width_ratios=gs.get_width_ratios(),
+                height_ratios=gs.get_height_ratios())
+    else:
+        # this is a gridspecfromsubplotspec:
+        subplot_spec = gs._subplot_spec
+        parentgs = subplot_spec.get_gridspec()
+        # if a nested gridspec it is possible the parent is not in there yet:
+        if parentgs not in layoutgrids:
+            layoutgrids = make_layoutgrids_gs(layoutgrids, parentgs)
+        subspeclb = layoutgrids[parentgs]
+        # gridspecfromsubplotspec need an outer container:
+        # get a unique representation:
+        rep = (gs, 'top')
+        if rep not in layoutgrids:
+            layoutgrids[rep] = mlayoutgrid.LayoutGrid(
+                parent=subspeclb,
+                name='top',
+                nrows=1, ncols=1,
+                parent_pos=(subplot_spec.rowspan, subplot_spec.colspan))
+        layoutgrids[gs] = mlayoutgrid.LayoutGrid(
+                parent=layoutgrids[rep],
+                name='gridspec',
+                nrows=gs._nrows, ncols=gs._ncols,
+                width_ratios=gs.get_width_ratios(),
+                height_ratios=gs.get_height_ratios())
+    return layoutgrids
+
+
+def check_no_collapsed_axes(layoutgrids, fig):
+    """
+    Check that no Axes have collapsed to zero size.
+    """
+    for sfig in fig.subfigs:
+        ok = check_no_collapsed_axes(layoutgrids, sfig)
+        if not ok:
+            return False
+    for ax in fig.axes:
+        gs = ax.get_gridspec()
+        if gs in layoutgrids:  # also implies gs is not None.
+            lg = layoutgrids[gs]
+            for i in range(gs.nrows):
+                for j in range(gs.ncols):
+                    bb = lg.get_inner_bbox(i, j)
+                    if bb.width <= 0 or bb.height <= 0:
+                        return False
+    return True
+
+
+def compress_fixed_aspect(layoutgrids, fig):
+    gs = None
+    for ax in fig.axes:
+        if ax.get_subplotspec() is None:
+            continue
+        ax.apply_aspect()
+        sub = ax.get_subplotspec()
+        _gs = sub.get_gridspec()
+        if gs is None:
+            gs = _gs
+            extraw = np.zeros(gs.ncols)
+            extrah = np.zeros(gs.nrows)
+        elif _gs != gs:
+            raise ValueError('Cannot do compressed layout if Axes are not'
+                             'all from the same gridspec')
+        orig = ax.get_position(original=True)
+        actual = ax.get_position(original=False)
+        dw = orig.width - actual.width
+        if dw > 0:
+            extraw[sub.colspan] = np.maximum(extraw[sub.colspan], dw)
+        dh = orig.height - actual.height
+        if dh > 0:
+            extrah[sub.rowspan] = np.maximum(extrah[sub.rowspan], dh)
+
+    if gs is None:
+        raise ValueError('Cannot do compressed layout if no Axes '
+                         'are part of a gridspec.')
+    w = np.sum(extraw) / 2
+    layoutgrids[fig].edit_margin_min('left', w)
+    layoutgrids[fig].edit_margin_min('right', w)
+
+    h = np.sum(extrah) / 2
+    layoutgrids[fig].edit_margin_min('top', h)
+    layoutgrids[fig].edit_margin_min('bottom', h)
+    return layoutgrids
+
+
+def get_margin_from_padding(obj, *, w_pad=0, h_pad=0,
+                            hspace=0, wspace=0):
+
+    ss = obj._subplotspec
+    gs = ss.get_gridspec()
+
+    if hasattr(gs, 'hspace'):
+        _hspace = (gs.hspace if gs.hspace is not None else hspace)
+        _wspace = (gs.wspace if gs.wspace is not None else wspace)
+    else:
+        _hspace = (gs._hspace if gs._hspace is not None else hspace)
+        _wspace = (gs._wspace if gs._wspace is not None else wspace)
+
+    _wspace = _wspace / 2
+    _hspace = _hspace / 2
+
+    nrows, ncols = gs.get_geometry()
+    # there are two margins for each direction.  The "cb"
+    # margins are for pads and colorbars, the non-"cb" are
+    # for the Axes decorations (labels etc).
+    margin = {'leftcb': w_pad, 'rightcb': w_pad,
+              'bottomcb': h_pad, 'topcb': h_pad,
+              'left': 0, 'right': 0,
+              'top': 0, 'bottom': 0}
+    if _wspace / ncols > w_pad:
+        if ss.colspan.start > 0:
+            margin['leftcb'] = _wspace / ncols
+        if ss.colspan.stop < ncols:
+            margin['rightcb'] = _wspace / ncols
+    if _hspace / nrows > h_pad:
+        if ss.rowspan.stop < nrows:
+            margin['bottomcb'] = _hspace / nrows
+        if ss.rowspan.start > 0:
+            margin['topcb'] = _hspace / nrows
+
+    return margin
+
+
+def make_layout_margins(layoutgrids, fig, renderer, *, w_pad=0, h_pad=0,
+                        hspace=0, wspace=0):
+    """
+    For each Axes, make a margin between the *pos* layoutbox and the
+    *axes* layoutbox be a minimum size that can accommodate the
+    decorations on the axis.
+
+    Then make room for colorbars.
+
+    Parameters
+    ----------
+    layoutgrids : dict
+    fig : `~matplotlib.figure.Figure`
+        `.Figure` instance to do the layout in.
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+        The renderer to use.
+    w_pad, h_pad : float, default: 0
+        Width and height padding (in fraction of figure).
+    hspace, wspace : float, default: 0
+        Width and height padding as fraction of figure size divided by
+        number of columns or rows.
+    """
+    for sfig in fig.subfigs:  # recursively make child panel margins
+        ss = sfig._subplotspec
+        gs = ss.get_gridspec()
+
+        make_layout_margins(layoutgrids, sfig, renderer,
+                            w_pad=w_pad, h_pad=h_pad,
+                            hspace=hspace, wspace=wspace)
+
+        margins = get_margin_from_padding(sfig, w_pad=0, h_pad=0,
+                                          hspace=hspace, wspace=wspace)
+        layoutgrids[gs].edit_outer_margin_mins(margins, ss)
+
+    for ax in fig._localaxes:
+        if not ax.get_subplotspec() or not ax.get_in_layout():
+            continue
+
+        ss = ax.get_subplotspec()
+        gs = ss.get_gridspec()
+
+        if gs not in layoutgrids:
+            return
+
+        margin = get_margin_from_padding(ax, w_pad=w_pad, h_pad=h_pad,
+                                         hspace=hspace, wspace=wspace)
+        pos, bbox = get_pos_and_bbox(ax, renderer)
+        # the margin is the distance between the bounding box of the Axes
+        # and its position (plus the padding from above)
+        margin['left'] += pos.x0 - bbox.x0
+        margin['right'] += bbox.x1 - pos.x1
+        # remember that rows are ordered from top:
+        margin['bottom'] += pos.y0 - bbox.y0
+        margin['top'] += bbox.y1 - pos.y1
+
+        # make margin for colorbars.  These margins go in the
+        # padding margin, versus the margin for Axes decorators.
+        for cbax in ax._colorbars:
+            # note pad is a fraction of the parent width...
+            pad = colorbar_get_pad(layoutgrids, cbax)
+            # colorbars can be child of more than one subplot spec:
+            cbp_rspan, cbp_cspan = get_cb_parent_spans(cbax)
+            loc = cbax._colorbar_info['location']
+            cbpos, cbbbox = get_pos_and_bbox(cbax, renderer)
+            if loc == 'right':
+                if cbp_cspan.stop == ss.colspan.stop:
+                    # only increase if the colorbar is on the right edge
+                    margin['rightcb'] += cbbbox.width + pad
+            elif loc == 'left':
+                if cbp_cspan.start == ss.colspan.start:
+                    # only increase if the colorbar is on the left edge
+                    margin['leftcb'] += cbbbox.width + pad
+            elif loc == 'top':
+                if cbp_rspan.start == ss.rowspan.start:
+                    margin['topcb'] += cbbbox.height + pad
+            else:
+                if cbp_rspan.stop == ss.rowspan.stop:
+                    margin['bottomcb'] += cbbbox.height + pad
+            # If the colorbars are wider than the parent box in the
+            # cross direction
+            if loc in ['top', 'bottom']:
+                if (cbp_cspan.start == ss.colspan.start and
+                        cbbbox.x0 < bbox.x0):
+                    margin['left'] += bbox.x0 - cbbbox.x0
+                if (cbp_cspan.stop == ss.colspan.stop and
+                        cbbbox.x1 > bbox.x1):
+                    margin['right'] += cbbbox.x1 - bbox.x1
+            # or taller:
+            if loc in ['left', 'right']:
+                if (cbp_rspan.stop == ss.rowspan.stop and
+                        cbbbox.y0 < bbox.y0):
+                    margin['bottom'] += bbox.y0 - cbbbox.y0
+                if (cbp_rspan.start == ss.rowspan.start and
+                        cbbbox.y1 > bbox.y1):
+                    margin['top'] += cbbbox.y1 - bbox.y1
+        # pass the new margins down to the layout grid for the solution...
+        layoutgrids[gs].edit_outer_margin_mins(margin, ss)
+
+    # make margins for figure-level legends:
+    for leg in fig.legends:
+        inv_trans_fig = None
+        if leg._outside_loc and leg._bbox_to_anchor is None:
+            if inv_trans_fig is None:
+                inv_trans_fig = fig.transFigure.inverted().transform_bbox
+            bbox = inv_trans_fig(leg.get_tightbbox(renderer))
+            w = bbox.width + 2 * w_pad
+            h = bbox.height + 2 * h_pad
+            legendloc = leg._outside_loc
+            if legendloc == 'lower':
+                layoutgrids[fig].edit_margin_min('bottom', h)
+            elif legendloc == 'upper':
+                layoutgrids[fig].edit_margin_min('top', h)
+            if legendloc == 'right':
+                layoutgrids[fig].edit_margin_min('right', w)
+            elif legendloc == 'left':
+                layoutgrids[fig].edit_margin_min('left', w)
+
+
+def make_margin_suptitles(layoutgrids, fig, renderer, *, w_pad=0, h_pad=0):
+    # Figure out how large the suptitle is and make the
+    # top level figure margin larger.
+
+    inv_trans_fig = fig.transFigure.inverted().transform_bbox
+    # get the h_pad and w_pad as distances in the local subfigure coordinates:
+    padbox = mtransforms.Bbox([[0, 0], [w_pad, h_pad]])
+    padbox = (fig.transFigure -
+              fig.transSubfigure).transform_bbox(padbox)
+    h_pad_local = padbox.height
+    w_pad_local = padbox.width
+
+    for sfig in fig.subfigs:
+        make_margin_suptitles(layoutgrids, sfig, renderer,
+                              w_pad=w_pad, h_pad=h_pad)
+
+    if fig._suptitle is not None and fig._suptitle.get_in_layout():
+        p = fig._suptitle.get_position()
+        if getattr(fig._suptitle, '_autopos', False):
+            fig._suptitle.set_position((p[0], 1 - h_pad_local))
+            bbox = inv_trans_fig(fig._suptitle.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('top', bbox.height + 2 * h_pad)
+
+    if fig._supxlabel is not None and fig._supxlabel.get_in_layout():
+        p = fig._supxlabel.get_position()
+        if getattr(fig._supxlabel, '_autopos', False):
+            fig._supxlabel.set_position((p[0], h_pad_local))
+            bbox = inv_trans_fig(fig._supxlabel.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('bottom',
+                                             bbox.height + 2 * h_pad)
+
+    if fig._supylabel is not None and fig._supylabel.get_in_layout():
+        p = fig._supylabel.get_position()
+        if getattr(fig._supylabel, '_autopos', False):
+            fig._supylabel.set_position((w_pad_local, p[1]))
+            bbox = inv_trans_fig(fig._supylabel.get_tightbbox(renderer))
+            layoutgrids[fig].edit_margin_min('left', bbox.width + 2 * w_pad)
+
+
+def match_submerged_margins(layoutgrids, fig):
+    """
+    Make the margins that are submerged inside an Axes the same size.
+
+    This allows Axes that span two columns (or rows) that are offset
+    from one another to have the same size.
+
+    This gives the proper layout for something like::
+        fig = plt.figure(constrained_layout=True)
+        axs = fig.subplot_mosaic("AAAB\nCCDD")
+
+    Without this routine, the Axes D will be wider than C, because the
+    margin width between the two columns in C has no width by default,
+    whereas the margins between the two columns of D are set by the
+    width of the margin between A and B. However, obviously the user would
+    like C and D to be the same size, so we need to add constraints to these
+    "submerged" margins.
+
+    This routine makes all the interior margins the same, and the spacing
+    between the three columns in A and the two column in C are all set to the
+    margins between the two columns of D.
+
+    See test_constrained_layout::test_constrained_layout12 for an example.
+    """
+
+    axsdone = []
+    for sfig in fig.subfigs:
+        axsdone += match_submerged_margins(layoutgrids, sfig)
+
+    axs = [a for a in fig.get_axes()
+           if (a.get_subplotspec() is not None and a.get_in_layout() and
+               a not in axsdone)]
+
+    for ax1 in axs:
+        ss1 = ax1.get_subplotspec()
+        if ss1.get_gridspec() not in layoutgrids:
+            axs.remove(ax1)
+            continue
+        lg1 = layoutgrids[ss1.get_gridspec()]
+
+        # interior columns:
+        if len(ss1.colspan) > 1:
+            maxsubl = np.max(
+                lg1.margin_vals['left'][ss1.colspan[1:]] +
+                lg1.margin_vals['leftcb'][ss1.colspan[1:]]
+            )
+            maxsubr = np.max(
+                lg1.margin_vals['right'][ss1.colspan[:-1]] +
+                lg1.margin_vals['rightcb'][ss1.colspan[:-1]]
+            )
+            for ax2 in axs:
+                ss2 = ax2.get_subplotspec()
+                lg2 = layoutgrids[ss2.get_gridspec()]
+                if lg2 is not None and len(ss2.colspan) > 1:
+                    maxsubl2 = np.max(
+                        lg2.margin_vals['left'][ss2.colspan[1:]] +
+                        lg2.margin_vals['leftcb'][ss2.colspan[1:]])
+                    if maxsubl2 > maxsubl:
+                        maxsubl = maxsubl2
+                    maxsubr2 = np.max(
+                        lg2.margin_vals['right'][ss2.colspan[:-1]] +
+                        lg2.margin_vals['rightcb'][ss2.colspan[:-1]])
+                    if maxsubr2 > maxsubr:
+                        maxsubr = maxsubr2
+            for i in ss1.colspan[1:]:
+                lg1.edit_margin_min('left', maxsubl, cell=i)
+            for i in ss1.colspan[:-1]:
+                lg1.edit_margin_min('right', maxsubr, cell=i)
+
+        # interior rows:
+        if len(ss1.rowspan) > 1:
+            maxsubt = np.max(
+                lg1.margin_vals['top'][ss1.rowspan[1:]] +
+                lg1.margin_vals['topcb'][ss1.rowspan[1:]]
+            )
+            maxsubb = np.max(
+                lg1.margin_vals['bottom'][ss1.rowspan[:-1]] +
+                lg1.margin_vals['bottomcb'][ss1.rowspan[:-1]]
+            )
+
+            for ax2 in axs:
+                ss2 = ax2.get_subplotspec()
+                lg2 = layoutgrids[ss2.get_gridspec()]
+                if lg2 is not None:
+                    if len(ss2.rowspan) > 1:
+                        maxsubt = np.max([np.max(
+                            lg2.margin_vals['top'][ss2.rowspan[1:]] +
+                            lg2.margin_vals['topcb'][ss2.rowspan[1:]]
+                        ), maxsubt])
+                        maxsubb = np.max([np.max(
+                            lg2.margin_vals['bottom'][ss2.rowspan[:-1]] +
+                            lg2.margin_vals['bottomcb'][ss2.rowspan[:-1]]
+                        ), maxsubb])
+            for i in ss1.rowspan[1:]:
+                lg1.edit_margin_min('top', maxsubt, cell=i)
+            for i in ss1.rowspan[:-1]:
+                lg1.edit_margin_min('bottom', maxsubb, cell=i)
+
+    return axs
+
+
+def get_cb_parent_spans(cbax):
+    """
+    Figure out which subplotspecs this colorbar belongs to.
+
+    Parameters
+    ----------
+    cbax : `~matplotlib.axes.Axes`
+        Axes for the colorbar.
+    """
+    rowstart = np.inf
+    rowstop = -np.inf
+    colstart = np.inf
+    colstop = -np.inf
+    for parent in cbax._colorbar_info['parents']:
+        ss = parent.get_subplotspec()
+        rowstart = min(ss.rowspan.start, rowstart)
+        rowstop = max(ss.rowspan.stop, rowstop)
+        colstart = min(ss.colspan.start, colstart)
+        colstop = max(ss.colspan.stop, colstop)
+
+    rowspan = range(rowstart, rowstop)
+    colspan = range(colstart, colstop)
+    return rowspan, colspan
+
+
+def get_pos_and_bbox(ax, renderer):
+    """
+    Get the position and the bbox for the Axes.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+
+    Returns
+    -------
+    pos : `~matplotlib.transforms.Bbox`
+        Position in figure coordinates.
+    bbox : `~matplotlib.transforms.Bbox`
+        Tight bounding box in figure coordinates.
+    """
+    fig = ax.get_figure(root=False)
+    pos = ax.get_position(original=True)
+    # pos is in panel co-ords, but we need in figure for the layout
+    pos = pos.transformed(fig.transSubfigure - fig.transFigure)
+    tightbbox = martist._get_tightbbox_for_layout_only(ax, renderer)
+    if tightbbox is None:
+        bbox = pos
+    else:
+        bbox = tightbbox.transformed(fig.transFigure.inverted())
+    return pos, bbox
+
+
+def reposition_axes(layoutgrids, fig, renderer, *,
+                    w_pad=0, h_pad=0, hspace=0, wspace=0):
+    """
+    Reposition all the Axes based on the new inner bounding box.
+    """
+    trans_fig_to_subfig = fig.transFigure - fig.transSubfigure
+    for sfig in fig.subfigs:
+        bbox = layoutgrids[sfig].get_outer_bbox()
+        sfig._redo_transform_rel_fig(
+            bbox=bbox.transformed(trans_fig_to_subfig))
+        reposition_axes(layoutgrids, sfig, renderer,
+                        w_pad=w_pad, h_pad=h_pad,
+                        wspace=wspace, hspace=hspace)
+
+    for ax in fig._localaxes:
+        if ax.get_subplotspec() is None or not ax.get_in_layout():
+            continue
+
+        # grid bbox is in Figure coordinates, but we specify in panel
+        # coordinates...
+        ss = ax.get_subplotspec()
+        gs = ss.get_gridspec()
+        if gs not in layoutgrids:
+            return
+
+        bbox = layoutgrids[gs].get_inner_bbox(rows=ss.rowspan,
+                                              cols=ss.colspan)
+
+        # transform from figure to panel for set_position:
+        newbbox = trans_fig_to_subfig.transform_bbox(bbox)
+        ax._set_position(newbbox)
+
+        # move the colorbars:
+        # we need to keep track of oldw and oldh if there is more than
+        # one colorbar:
+        offset = {'left': 0, 'right': 0, 'bottom': 0, 'top': 0}
+        for nn, cbax in enumerate(ax._colorbars[::-1]):
+            if ax == cbax._colorbar_info['parents'][0]:
+                reposition_colorbar(layoutgrids, cbax, renderer,
+                                    offset=offset)
+
+
+def reposition_colorbar(layoutgrids, cbax, renderer, *, offset=None):
+    """
+    Place the colorbar in its new place.
+
+    Parameters
+    ----------
+    layoutgrids : dict
+    cbax : `~matplotlib.axes.Axes`
+        Axes for the colorbar.
+    renderer : `~matplotlib.backend_bases.RendererBase` subclass.
+        The renderer to use.
+    offset : array-like
+        Offset the colorbar needs to be pushed to in order to
+        account for multiple colorbars.
+    """
+
+    parents = cbax._colorbar_info['parents']
+    gs = parents[0].get_gridspec()
+    fig = cbax.get_figure(root=False)
+    trans_fig_to_subfig = fig.transFigure - fig.transSubfigure
+
+    cb_rspans, cb_cspans = get_cb_parent_spans(cbax)
+    bboxparent = layoutgrids[gs].get_bbox_for_cb(rows=cb_rspans,
+                                                 cols=cb_cspans)
+    pb = layoutgrids[gs].get_inner_bbox(rows=cb_rspans, cols=cb_cspans)
+
+    location = cbax._colorbar_info['location']
+    anchor = cbax._colorbar_info['anchor']
+    fraction = cbax._colorbar_info['fraction']
+    aspect = cbax._colorbar_info['aspect']
+    shrink = cbax._colorbar_info['shrink']
+
+    cbpos, cbbbox = get_pos_and_bbox(cbax, renderer)
+
+    # Colorbar gets put at extreme edge of outer bbox of the subplotspec
+    # It needs to be moved in by: 1) a pad 2) its "margin" 3) by
+    # any colorbars already added at this location:
+    cbpad = colorbar_get_pad(layoutgrids, cbax)
+    if location in ('left', 'right'):
+        # fraction and shrink are fractions of parent
+        pbcb = pb.shrunk(fraction, shrink).anchored(anchor, pb)
+        # The colorbar is at the left side of the parent.  Need
+        # to translate to right (or left)
+        if location == 'right':
+            lmargin = cbpos.x0 - cbbbox.x0
+            dx = bboxparent.x1 - pbcb.x0 + offset['right']
+            dx += cbpad + lmargin
+            offset['right'] += cbbbox.width + cbpad
+            pbcb = pbcb.translated(dx, 0)
+        else:
+            lmargin = cbpos.x0 - cbbbox.x0
+            dx = bboxparent.x0 - pbcb.x0  # edge of parent
+            dx += -cbbbox.width - cbpad + lmargin - offset['left']
+            offset['left'] += cbbbox.width + cbpad
+            pbcb = pbcb.translated(dx, 0)
+    else:  # horizontal axes:
+        pbcb = pb.shrunk(shrink, fraction).anchored(anchor, pb)
+        if location == 'top':
+            bmargin = cbpos.y0 - cbbbox.y0
+            dy = bboxparent.y1 - pbcb.y0 + offset['top']
+            dy += cbpad + bmargin
+            offset['top'] += cbbbox.height + cbpad
+            pbcb = pbcb.translated(0, dy)
+        else:
+            bmargin = cbpos.y0 - cbbbox.y0
+            dy = bboxparent.y0 - pbcb.y0
+            dy += -cbbbox.height - cbpad + bmargin - offset['bottom']
+            offset['bottom'] += cbbbox.height + cbpad
+            pbcb = pbcb.translated(0, dy)
+
+    pbcb = trans_fig_to_subfig.transform_bbox(pbcb)
+    cbax.set_transform(fig.transSubfigure)
+    cbax._set_position(pbcb)
+    cbax.set_anchor(anchor)
+    if location in ['bottom', 'top']:
+        aspect = 1 / aspect
+    cbax.set_box_aspect(aspect)
+    cbax.set_aspect('auto')
+    return offset
+
+
+def reset_margins(layoutgrids, fig):
+    """
+    Reset the margins in the layoutboxes of *fig*.
+
+    Margins are usually set as a minimum, so if the figure gets smaller
+    the minimum needs to be zero in order for it to grow again.
+    """
+    for sfig in fig.subfigs:
+        reset_margins(layoutgrids, sfig)
+    for ax in fig.axes:
+        if ax.get_in_layout():
+            gs = ax.get_gridspec()
+            if gs in layoutgrids:  # also implies gs is not None.
+                layoutgrids[gs].reset_margins()
+    layoutgrids[fig].reset_margins()
+
+
+def colorbar_get_pad(layoutgrids, cax):
+    parents = cax._colorbar_info['parents']
+    gs = parents[0].get_gridspec()
+
+    cb_rspans, cb_cspans = get_cb_parent_spans(cax)
+    bboxouter = layoutgrids[gs].get_inner_bbox(rows=cb_rspans, cols=cb_cspans)
+
+    if cax._colorbar_info['location'] in ['right', 'left']:
+        size = bboxouter.width
+    else:
+        size = bboxouter.height
+
+    return cax._colorbar_info['pad'] * size
diff --git a/lib/matplotlib/_docstring.py b/lib/matplotlib/_docstring.py
new file mode 100644
index 000000000000..8cc7d623efe5
--- /dev/null
+++ b/lib/matplotlib/_docstring.py
@@ -0,0 +1,141 @@
+import inspect
+
+from . import _api
+
+
+def kwarg_doc(text):
+    """
+    Decorator for defining the kwdoc documentation of artist properties.
+
+    This decorator can be applied to artist property setter methods.
+    The given text is stored in a private attribute ``_kwarg_doc`` on
+    the method.  It is used to overwrite auto-generated documentation
+    in the *kwdoc list* for artists. The kwdoc list is used to document
+    ``**kwargs`` when they are properties of an artist. See e.g. the
+    ``**kwargs`` section in `.Axes.text`.
+
+    The text should contain the supported types, as well as the default
+    value if applicable, e.g.:
+
+        @_docstring.kwarg_doc("bool, default: :rc:`text.usetex`")
+        def set_usetex(self, usetex):
+
+    See Also
+    --------
+    matplotlib.artist.kwdoc
+
+    """
+    def decorator(func):
+        func._kwarg_doc = text
+        return func
+    return decorator
+
+
+class Substitution:
+    """
+    A decorator that performs %-substitution on an object's docstring.
+
+    This decorator should be robust even if ``obj.__doc__`` is None (for
+    example, if -OO was passed to the interpreter).
+
+    Usage: construct a docstring.Substitution with a sequence or dictionary
+    suitable for performing substitution; then decorate a suitable function
+    with the constructed object, e.g.::
+
+        sub_author_name = Substitution(author='Jason')
+
+        @sub_author_name
+        def some_function(x):
+            "%(author)s wrote this function"
+
+        # note that some_function.__doc__ is now "Jason wrote this function"
+
+    One can also use positional arguments::
+
+        sub_first_last_names = Substitution('Edgar Allen', 'Poe')
+
+        @sub_first_last_names
+        def some_function(x):
+            "%s %s wrote the Raven"
+    """
+    def __init__(self, *args, **kwargs):
+        if args and kwargs:
+            raise TypeError("Only positional or keyword args are allowed")
+        self.params = args or kwargs
+
+    def __call__(self, func):
+        if func.__doc__:
+            func.__doc__ = inspect.cleandoc(func.__doc__) % self.params
+        return func
+
+
+class _ArtistKwdocLoader(dict):
+    def __missing__(self, key):
+        if not key.endswith(":kwdoc"):
+            raise KeyError(key)
+        name = key[:-len(":kwdoc")]
+        from matplotlib.artist import Artist, kwdoc
+        try:
+            cls, = (cls for cls in _api.recursive_subclasses(Artist)
+                    if cls.__name__ == name)
+        except ValueError as e:
+            raise KeyError(key) from e
+        return self.setdefault(key, kwdoc(cls))
+
+
+class _ArtistPropertiesSubstitution:
+    """
+    A class to substitute formatted placeholders in docstrings.
+
+    This is realized in a single instance ``_docstring.interpd``.
+
+    Use `~._ArtistPropertiesSubstition.register` to define placeholders and
+    their substitution, e.g. ``_docstring.interpd.register(name="some value")``.
+
+    Use this as a decorator to apply the substitution::
+
+        @_docstring.interpd
+        def some_func():
+            '''Replace %(name)s.'''
+
+    Decorating a class triggers substitution both on the class docstring and
+    on the class' ``__init__`` docstring (which is a commonly required
+    pattern for Artist subclasses).
+
+    Substitutions of the form ``%(classname:kwdoc)s`` (ending with the
+    literal ":kwdoc" suffix) trigger lookup of an Artist subclass with the
+    given *classname*, and are substituted with the `.kwdoc` of that class.
+    """
+
+    def __init__(self):
+        self.params = _ArtistKwdocLoader()
+
+    def register(self, **kwargs):
+        """
+        Register substitutions.
+
+        ``_docstring.interpd.register(name="some value")`` makes "name" available
+        as a named parameter that will be replaced by "some value".
+        """
+        self.params.update(**kwargs)
+
+    def __call__(self, obj):
+        if obj.__doc__:
+            obj.__doc__ = inspect.cleandoc(obj.__doc__) % self.params
+        if isinstance(obj, type) and obj.__init__ != object.__init__:
+            self(obj.__init__)
+        return obj
+
+
+def copy(source):
+    """Copy a docstring from another source function (if present)."""
+    def do_copy(target):
+        if source.__doc__:
+            target.__doc__ = source.__doc__
+        return target
+    return do_copy
+
+
+# Create a decorator that will house the various docstring snippets reused
+# throughout Matplotlib.
+interpd = _ArtistPropertiesSubstitution()
diff --git a/lib/matplotlib/_docstring.pyi b/lib/matplotlib/_docstring.pyi
new file mode 100644
index 000000000000..fb52d0846123
--- /dev/null
+++ b/lib/matplotlib/_docstring.pyi
@@ -0,0 +1,34 @@
+from collections.abc import Callable
+from typing import Any, TypeVar, overload
+
+
+_T = TypeVar('_T')
+
+
+def kwarg_doc(text: str) -> Callable[[_T], _T]: ...
+
+
+class Substitution:
+    @overload
+    def __init__(self, *args: str): ...
+    @overload
+    def __init__(self, **kwargs: str): ...
+    def __call__(self, func: _T) -> _T: ...
+    def update(self, *args, **kwargs): ...  # type: ignore[no-untyped-def]
+
+
+class _ArtistKwdocLoader(dict[str, str]):
+    def __missing__(self, key: str) -> str: ...
+
+
+class _ArtistPropertiesSubstitution:
+    def __init__(self) -> None: ...
+    def register(self, **kwargs) -> None: ...
+    def __call__(self, obj: _T) -> _T: ...
+
+
+def copy(source: Any) -> Callable[[_T], _T]: ...
+
+
+dedent_interpd: _ArtistPropertiesSubstitution
+interpd: _ArtistPropertiesSubstitution
diff --git a/lib/matplotlib/_enums.py b/lib/matplotlib/_enums.py
new file mode 100644
index 000000000000..75a09b7b5d8c
--- /dev/null
+++ b/lib/matplotlib/_enums.py
@@ -0,0 +1,177 @@
+"""
+Enums representing sets of strings that Matplotlib uses as input parameters.
+
+Matplotlib often uses simple data types like strings or tuples to define a
+concept; e.g. the line capstyle can be specified as one of 'butt', 'round',
+or 'projecting'. The classes in this module are used internally and serve to
+document these concepts formally.
+
+As an end-user you will not use these classes directly, but only the values
+they define.
+"""
+
+from enum import Enum
+from matplotlib import _docstring
+
+
+class JoinStyle(str, Enum):
+    """
+    Define how the connection between two line segments is drawn.
+
+    For a visual impression of each *JoinStyle*, `view these docs online
+    <JoinStyle>`, or run `JoinStyle.demo`.
+
+    Lines in Matplotlib are typically defined by a 1D `~.path.Path` and a
+    finite ``linewidth``, where the underlying 1D `~.path.Path` represents the
+    center of the stroked line.
+
+    By default, `~.backend_bases.GraphicsContextBase` defines the boundaries of
+    a stroked line to simply be every point within some radius,
+    ``linewidth/2``, away from any point of the center line. However, this
+    results in corners appearing "rounded", which may not be the desired
+    behavior if you are drawing, for example, a polygon or pointed star.
+
+    **Supported values:**
+
+    .. rst-class:: value-list
+
+        'miter'
+            the "arrow-tip" style. Each boundary of the filled-in area will
+            extend in a straight line parallel to the tangent vector of the
+            centerline at the point it meets the corner, until they meet in a
+            sharp point.
+        'round'
+            stokes every point within a radius of ``linewidth/2`` of the center
+            lines.
+        'bevel'
+            the "squared-off" style. It can be thought of as a rounded corner
+            where the "circular" part of the corner has been cut off.
+
+    .. note::
+
+        Very long miter tips are cut off (to form a *bevel*) after a
+        backend-dependent limit called the "miter limit", which specifies the
+        maximum allowed ratio of miter length to line width. For example, the
+        PDF backend uses the default value of 10 specified by the PDF standard,
+        while the SVG backend does not even specify the miter limit, resulting
+        in a default value of 4 per the SVG specification. Matplotlib does not
+        currently allow the user to adjust this parameter.
+
+        A more detailed description of the effect of a miter limit can be found
+        in the `Mozilla Developer Docs
+        <https://developer.mozilla.org/en-US/docs/Web/SVG/Attribute/stroke-miterlimit>`_
+
+    .. plot::
+        :alt: Demo of possible JoinStyle's
+
+        from matplotlib._enums import JoinStyle
+        JoinStyle.demo()
+
+    """
+
+    miter = "miter"
+    round = "round"
+    bevel = "bevel"
+
+    @staticmethod
+    def demo():
+        """Demonstrate how each JoinStyle looks for various join angles."""
+        import numpy as np
+        import matplotlib.pyplot as plt
+
+        def plot_angle(ax, x, y, angle, style):
+            phi = np.radians(angle)
+            xx = [x + .5, x, x + .5*np.cos(phi)]
+            yy = [y, y, y + .5*np.sin(phi)]
+            ax.plot(xx, yy, lw=12, color='tab:blue', solid_joinstyle=style)
+            ax.plot(xx, yy, lw=1, color='black')
+            ax.plot(xx[1], yy[1], 'o', color='tab:red', markersize=3)
+
+        fig, ax = plt.subplots(figsize=(5, 4), constrained_layout=True)
+        ax.set_title('Join style')
+        for x, style in enumerate(['miter', 'round', 'bevel']):
+            ax.text(x, 5, style)
+            for y, angle in enumerate([20, 45, 60, 90, 120]):
+                plot_angle(ax, x, y, angle, style)
+                if x == 0:
+                    ax.text(-1.3, y, f'{angle} degrees')
+        ax.set_xlim(-1.5, 2.75)
+        ax.set_ylim(-.5, 5.5)
+        ax.set_axis_off()
+        fig.show()
+
+
+JoinStyle.input_description = "{" \
+        + ", ".join([f"'{js.name}'" for js in JoinStyle]) \
+        + "}"
+
+
+class CapStyle(str, Enum):
+    r"""
+    Define how the two endpoints (caps) of an unclosed line are drawn.
+
+    How to draw the start and end points of lines that represent a closed curve
+    (i.e. that end in a `~.path.Path.CLOSEPOLY`) is controlled by the line's
+    `JoinStyle`. For all other lines, how the start and end points are drawn is
+    controlled by the *CapStyle*.
+
+    For a visual impression of each *CapStyle*, `view these docs online
+    <CapStyle>` or run `CapStyle.demo`.
+
+    By default, `~.backend_bases.GraphicsContextBase` draws a stroked line as
+    squared off at its endpoints.
+
+    **Supported values:**
+
+    .. rst-class:: value-list
+
+        'butt'
+            the line is squared off at its endpoint.
+        'projecting'
+            the line is squared off as in *butt*, but the filled in area
+            extends beyond the endpoint a distance of ``linewidth/2``.
+        'round'
+            like *butt*, but a semicircular cap is added to the end of the
+            line, of radius ``linewidth/2``.
+
+    .. plot::
+        :alt: Demo of possible CapStyle's
+
+        from matplotlib._enums import CapStyle
+        CapStyle.demo()
+
+    """
+    butt = "butt"
+    projecting = "projecting"
+    round = "round"
+
+    @staticmethod
+    def demo():
+        """Demonstrate how each CapStyle looks for a thick line segment."""
+        import matplotlib.pyplot as plt
+
+        fig = plt.figure(figsize=(4, 1.2))
+        ax = fig.add_axes([0, 0, 1, 0.8])
+        ax.set_title('Cap style')
+
+        for x, style in enumerate(['butt', 'round', 'projecting']):
+            ax.text(x+0.25, 0.85, style, ha='center')
+            xx = [x, x+0.5]
+            yy = [0, 0]
+            ax.plot(xx, yy, lw=12, color='tab:blue', solid_capstyle=style)
+            ax.plot(xx, yy, lw=1, color='black')
+            ax.plot(xx, yy, 'o', color='tab:red', markersize=3)
+
+        ax.set_ylim(-.5, 1.5)
+        ax.set_axis_off()
+        fig.show()
+
+
+CapStyle.input_description = "{" \
+        + ", ".join([f"'{cs.name}'" for cs in CapStyle]) \
+        + "}"
+
+_docstring.interpd.register(
+    JoinStyle=JoinStyle.input_description,
+    CapStyle=CapStyle.input_description,
+)
diff --git a/lib/matplotlib/_enums.pyi b/lib/matplotlib/_enums.pyi
new file mode 100644
index 000000000000..3ff7e208c398
--- /dev/null
+++ b/lib/matplotlib/_enums.pyi
@@ -0,0 +1,18 @@
+from enum import Enum
+
+
+class JoinStyle(str, Enum):
+    miter = "miter"
+    round = "round"
+    bevel = "bevel"
+    @staticmethod
+    def demo() -> None: ...
+
+
+class CapStyle(str, Enum):
+    butt = "butt"
+    projecting = "projecting"
+    round = "round"
+
+    @staticmethod
+    def demo() -> None: ...
diff --git a/lib/matplotlib/_fontconfig_pattern.py b/lib/matplotlib/_fontconfig_pattern.py
new file mode 100644
index 000000000000..8a329f7a3133
--- /dev/null
+++ b/lib/matplotlib/_fontconfig_pattern.py
@@ -0,0 +1,111 @@
+"""
+A module for parsing and generating `fontconfig patterns`_.
+
+.. _fontconfig patterns:
+   https://www.freedesktop.org/software/fontconfig/fontconfig-user.html
+"""
+
+# This class logically belongs in `matplotlib.font_manager`, but placing it
+# there would have created cyclical dependency problems, because it also needs
+# to be available from `matplotlib.rcsetup` (for parsing matplotlibrc files).
+
+from functools import cache, lru_cache, partial
+import re
+
+from pyparsing import (
+    Group, Optional, ParseException, Regex, StringEnd, Suppress, ZeroOrMore, one_of)
+
+
+_family_punc = r'\\\-:,'
+_family_unescape = partial(re.compile(r'\\(?=[%s])' % _family_punc).sub, '')
+_family_escape = partial(re.compile(r'(?=[%s])' % _family_punc).sub, r'\\')
+_value_punc = r'\\=_:,'
+_value_unescape = partial(re.compile(r'\\(?=[%s])' % _value_punc).sub, '')
+_value_escape = partial(re.compile(r'(?=[%s])' % _value_punc).sub, r'\\')
+
+
+_CONSTANTS = {
+    'thin':           ('weight', 'light'),
+    'extralight':     ('weight', 'light'),
+    'ultralight':     ('weight', 'light'),
+    'light':          ('weight', 'light'),
+    'book':           ('weight', 'book'),
+    'regular':        ('weight', 'regular'),
+    'normal':         ('weight', 'normal'),
+    'medium':         ('weight', 'medium'),
+    'demibold':       ('weight', 'demibold'),
+    'semibold':       ('weight', 'semibold'),
+    'bold':           ('weight', 'bold'),
+    'extrabold':      ('weight', 'extra bold'),
+    'black':          ('weight', 'black'),
+    'heavy':          ('weight', 'heavy'),
+    'roman':          ('slant', 'normal'),
+    'italic':         ('slant', 'italic'),
+    'oblique':        ('slant', 'oblique'),
+    'ultracondensed': ('width', 'ultra-condensed'),
+    'extracondensed': ('width', 'extra-condensed'),
+    'condensed':      ('width', 'condensed'),
+    'semicondensed':  ('width', 'semi-condensed'),
+    'expanded':       ('width', 'expanded'),
+    'extraexpanded':  ('width', 'extra-expanded'),
+    'ultraexpanded':  ('width', 'ultra-expanded'),
+}
+
+
+@cache  # The parser instance is a singleton.
+def _make_fontconfig_parser():
+    def comma_separated(elem):
+        return elem + ZeroOrMore(Suppress(",") + elem)
+
+    family = Regex(fr"([^{_family_punc}]|(\\[{_family_punc}]))*")
+    size = Regex(r"([0-9]+\.?[0-9]*|\.[0-9]+)")
+    name = Regex(r"[a-z]+")
+    value = Regex(fr"([^{_value_punc}]|(\\[{_value_punc}]))*")
+    prop = Group((name + Suppress("=") + comma_separated(value)) | one_of(_CONSTANTS))
+    return (
+        Optional(comma_separated(family)("families"))
+        + Optional("-" + comma_separated(size)("sizes"))
+        + ZeroOrMore(":" + prop("properties*"))
+        + StringEnd()
+    )
+
+
+# `parse_fontconfig_pattern` is a bottleneck during the tests because it is
+# repeatedly called when the rcParams are reset (to validate the default
+# fonts).  In practice, the cache size doesn't grow beyond a few dozen entries
+# during the test suite.
+@lru_cache
+def parse_fontconfig_pattern(pattern):
+    """
+    Parse a fontconfig *pattern* into a dict that can initialize a
+    `.font_manager.FontProperties` object.
+    """
+    parser = _make_fontconfig_parser()
+    try:
+        parse = parser.parse_string(pattern)
+    except ParseException as err:
+        # explain becomes a plain method on pyparsing 3 (err.explain(0)).
+        raise ValueError("\n" + ParseException.explain(err, 0)) from None
+    parser.reset_cache()
+    props = {}
+    if "families" in parse:
+        props["family"] = [*map(_family_unescape, parse["families"])]
+    if "sizes" in parse:
+        props["size"] = [*parse["sizes"]]
+    for prop in parse.get("properties", []):
+        if len(prop) == 1:
+            prop = _CONSTANTS[prop[0]]
+        k, *v = prop
+        props.setdefault(k, []).extend(map(_value_unescape, v))
+    return props
+
+
+def generate_fontconfig_pattern(d):
+    """Convert a `.FontProperties` to a fontconfig pattern string."""
+    kvs = [(k, getattr(d, f"get_{k}")())
+           for k in ["style", "variant", "weight", "stretch", "file", "size"]]
+    # Families is given first without a leading keyword.  Other entries (which
+    # are necessarily scalar) are given as key=value, skipping Nones.
+    return (",".join(_family_escape(f) for f in d.get_family())
+            + "".join(f":{k}={_value_escape(str(v))}"
+                      for k, v in kvs if v is not None))
diff --git a/doc/_templates/indexsidebar.html b/lib/matplotlib/_image.pyi
similarity index 100%
rename from doc/_templates/indexsidebar.html
rename to lib/matplotlib/_image.pyi
diff --git a/lib/matplotlib/_internal_utils.py b/lib/matplotlib/_internal_utils.py
new file mode 100644
index 000000000000..0223aa593bb2
--- /dev/null
+++ b/lib/matplotlib/_internal_utils.py
@@ -0,0 +1,64 @@
+"""
+Internal debugging utilities, that are not expected to be used in the rest of
+the codebase.
+
+WARNING: Code in this module may change without prior notice!
+"""
+
+from io import StringIO
+from pathlib import Path
+import subprocess
+
+from matplotlib.transforms import TransformNode
+
+
+def graphviz_dump_transform(transform, dest, *, highlight=None):
+    """
+    Generate a graphical representation of the transform tree for *transform*
+    using the :program:`dot` program (which this function depends on).  The
+    output format (png, dot, etc.) is determined from the suffix of *dest*.
+
+    Parameters
+    ----------
+    transform : `~matplotlib.transform.Transform`
+        The represented transform.
+    dest : str
+        Output filename.  The extension must be one of the formats supported
+        by :program:`dot`, e.g. png, svg, dot, ...
+        (see https://www.graphviz.org/doc/info/output.html).
+    highlight : list of `~matplotlib.transform.Transform` or None
+        The transforms in the tree to be drawn in bold.
+        If *None*, *transform* is highlighted.
+    """
+
+    if highlight is None:
+        highlight = [transform]
+    seen = set()
+
+    def recurse(root, buf):
+        if id(root) in seen:
+            return
+        seen.add(id(root))
+        props = {}
+        label = type(root).__name__
+        if root._invalid:
+            label = f'[{label}]'
+        if root in highlight:
+            props['style'] = 'bold'
+        props['shape'] = 'box'
+        props['label'] = '"%s"' % label
+        props = ' '.join(map('{0[0]}={0[1]}'.format, props.items()))
+        buf.write(f'{id(root)} [{props}];\n')
+        for key, val in vars(root).items():
+            if isinstance(val, TransformNode) and id(root) in val._parents:
+                buf.write(f'"{id(root)}" -> "{id(val)}" '
+                          f'[label="{key}", fontsize=10];\n')
+                recurse(val, buf)
+
+    buf = StringIO()
+    buf.write('digraph G {\n')
+    recurse(transform, buf)
+    buf.write('}\n')
+    subprocess.run(
+        ['dot', '-T', Path(dest).suffix[1:], '-o', dest],
+        input=buf.getvalue().encode('utf-8'), check=True)
diff --git a/lib/matplotlib/_layoutgrid.py b/lib/matplotlib/_layoutgrid.py
new file mode 100644
index 000000000000..8f81b14765b6
--- /dev/null
+++ b/lib/matplotlib/_layoutgrid.py
@@ -0,0 +1,547 @@
+"""
+A layoutgrid is a nrows by ncols set of boxes, meant to be used by
+`._constrained_layout`, each box is analogous to a subplotspec element of
+a gridspec.
+
+Each box is defined by left[ncols], right[ncols], bottom[nrows] and top[nrows],
+and by two editable margins for each side.  The main margin gets its value
+set by the size of ticklabels, titles, etc on each Axes that is in the figure.
+The outer margin is the padding around the Axes, and space for any
+colorbars.
+
+The "inner" widths and heights of these boxes are then constrained to be the
+same (relative the values of `width_ratios[ncols]` and `height_ratios[nrows]`).
+
+The layoutgrid is then constrained to be contained within a parent layoutgrid,
+its column(s) and row(s) specified when it is created.
+"""
+
+import itertools
+import kiwisolver as kiwi
+import logging
+import numpy as np
+
+import matplotlib as mpl
+import matplotlib.patches as mpatches
+from matplotlib.transforms import Bbox
+
+_log = logging.getLogger(__name__)
+
+
+class LayoutGrid:
+    """
+    Analogous to a gridspec, and contained in another LayoutGrid.
+    """
+
+    def __init__(self, parent=None, parent_pos=(0, 0),
+                 parent_inner=False, name='', ncols=1, nrows=1,
+                 h_pad=None, w_pad=None, width_ratios=None,
+                 height_ratios=None):
+        Variable = kiwi.Variable
+        self.parent_pos = parent_pos
+        self.parent_inner = parent_inner
+        self.name = name + seq_id()
+        if isinstance(parent, LayoutGrid):
+            self.name = f'{parent.name}.{self.name}'
+        self.nrows = nrows
+        self.ncols = ncols
+        self.height_ratios = np.atleast_1d(height_ratios)
+        if height_ratios is None:
+            self.height_ratios = np.ones(nrows)
+        self.width_ratios = np.atleast_1d(width_ratios)
+        if width_ratios is None:
+            self.width_ratios = np.ones(ncols)
+
+        sn = self.name + '_'
+        if not isinstance(parent, LayoutGrid):
+            # parent can be a rect if not a LayoutGrid
+            # allows specifying a rectangle to contain the layout.
+            self.solver = kiwi.Solver()
+        else:
+            parent.add_child(self, *parent_pos)
+            self.solver = parent.solver
+        # keep track of artist associated w/ this layout.  Can be none
+        self.artists = np.empty((nrows, ncols), dtype=object)
+        self.children = np.empty((nrows, ncols), dtype=object)
+
+        self.margins = {}
+        self.margin_vals = {}
+        # all the boxes in each column share the same left/right margins:
+        for todo in ['left', 'right', 'leftcb', 'rightcb']:
+            # track the value so we can change only if a margin is larger
+            # than the current value
+            self.margin_vals[todo] = np.zeros(ncols)
+
+        sol = self.solver
+
+        self.lefts = [Variable(f'{sn}lefts[{i}]') for i in range(ncols)]
+        self.rights = [Variable(f'{sn}rights[{i}]') for i in range(ncols)]
+        for todo in ['left', 'right', 'leftcb', 'rightcb']:
+            self.margins[todo] = [Variable(f'{sn}margins[{todo}][{i}]')
+                                  for i in range(ncols)]
+            for i in range(ncols):
+                sol.addEditVariable(self.margins[todo][i], 'strong')
+
+        for todo in ['bottom', 'top', 'bottomcb', 'topcb']:
+            self.margins[todo] = np.empty((nrows), dtype=object)
+            self.margin_vals[todo] = np.zeros(nrows)
+
+        self.bottoms = [Variable(f'{sn}bottoms[{i}]') for i in range(nrows)]
+        self.tops = [Variable(f'{sn}tops[{i}]') for i in range(nrows)]
+        for todo in ['bottom', 'top', 'bottomcb', 'topcb']:
+            self.margins[todo] = [Variable(f'{sn}margins[{todo}][{i}]')
+                                  for i in range(nrows)]
+            for i in range(nrows):
+                sol.addEditVariable(self.margins[todo][i], 'strong')
+
+        # set these margins to zero by default. They will be edited as
+        # children are filled.
+        self.reset_margins()
+        self.add_constraints(parent)
+
+        self.h_pad = h_pad
+        self.w_pad = w_pad
+
+    def __repr__(self):
+        str = f'LayoutBox: {self.name:25s} {self.nrows}x{self.ncols},\n'
+        for i in range(self.nrows):
+            for j in range(self.ncols):
+                str += f'{i}, {j}: '\
+                       f'L{self.lefts[j].value():1.3f}, ' \
+                       f'B{self.bottoms[i].value():1.3f}, ' \
+                       f'R{self.rights[j].value():1.3f}, ' \
+                       f'T{self.tops[i].value():1.3f}, ' \
+                       f'ML{self.margins["left"][j].value():1.3f}, ' \
+                       f'MR{self.margins["right"][j].value():1.3f}, ' \
+                       f'MB{self.margins["bottom"][i].value():1.3f}, ' \
+                       f'MT{self.margins["top"][i].value():1.3f}, \n'
+        return str
+
+    def reset_margins(self):
+        """
+        Reset all the margins to zero.  Must do this after changing
+        figure size, for instance, because the relative size of the
+        axes labels etc changes.
+        """
+        for todo in ['left', 'right', 'bottom', 'top',
+                     'leftcb', 'rightcb', 'bottomcb', 'topcb']:
+            self.edit_margins(todo, 0.0)
+
+    def add_constraints(self, parent):
+        # define self-consistent constraints
+        self.hard_constraints()
+        # define relationship with parent layoutgrid:
+        self.parent_constraints(parent)
+        # define relative widths of the grid cells to each other
+        # and stack horizontally and vertically.
+        self.grid_constraints()
+
+    def hard_constraints(self):
+        """
+        These are the redundant constraints, plus ones that make the
+        rest of the code easier.
+        """
+        for i in range(self.ncols):
+            hc = [self.rights[i] >= self.lefts[i],
+                  (self.rights[i] - self.margins['right'][i] -
+                    self.margins['rightcb'][i] >=
+                    self.lefts[i] - self.margins['left'][i] -
+                    self.margins['leftcb'][i])
+                  ]
+            for c in hc:
+                self.solver.addConstraint(c | 'required')
+
+        for i in range(self.nrows):
+            hc = [self.tops[i] >= self.bottoms[i],
+                  (self.tops[i] - self.margins['top'][i] -
+                    self.margins['topcb'][i] >=
+                    self.bottoms[i] - self.margins['bottom'][i] -
+                    self.margins['bottomcb'][i])
+                  ]
+            for c in hc:
+                self.solver.addConstraint(c | 'required')
+
+    def add_child(self, child, i=0, j=0):
+        # np.ix_ returns the cross product of i and j indices
+        self.children[np.ix_(np.atleast_1d(i), np.atleast_1d(j))] = child
+
+    def parent_constraints(self, parent):
+        # constraints that are due to the parent...
+        # i.e. the first column's left is equal to the
+        # parent's left, the last column right equal to the
+        # parent's right...
+        if not isinstance(parent, LayoutGrid):
+            # specify a rectangle in figure coordinates
+            hc = [self.lefts[0] == parent[0],
+                  self.rights[-1] == parent[0] + parent[2],
+                  # top and bottom reversed order...
+                  self.tops[0] == parent[1] + parent[3],
+                  self.bottoms[-1] == parent[1]]
+        else:
+            rows, cols = self.parent_pos
+            rows = np.atleast_1d(rows)
+            cols = np.atleast_1d(cols)
+
+            left = parent.lefts[cols[0]]
+            right = parent.rights[cols[-1]]
+            top = parent.tops[rows[0]]
+            bottom = parent.bottoms[rows[-1]]
+            if self.parent_inner:
+                # the layout grid is contained inside the inner
+                # grid of the parent.
+                left += parent.margins['left'][cols[0]]
+                left += parent.margins['leftcb'][cols[0]]
+                right -= parent.margins['right'][cols[-1]]
+                right -= parent.margins['rightcb'][cols[-1]]
+                top -= parent.margins['top'][rows[0]]
+                top -= parent.margins['topcb'][rows[0]]
+                bottom += parent.margins['bottom'][rows[-1]]
+                bottom += parent.margins['bottomcb'][rows[-1]]
+            hc = [self.lefts[0] == left,
+                  self.rights[-1] == right,
+                  # from top to bottom
+                  self.tops[0] == top,
+                  self.bottoms[-1] == bottom]
+        for c in hc:
+            self.solver.addConstraint(c | 'required')
+
+    def grid_constraints(self):
+        # constrain the ratio of the inner part of the grids
+        # to be the same (relative to width_ratios)
+
+        # constrain widths:
+        w = (self.rights[0] - self.margins['right'][0] -
+             self.margins['rightcb'][0])
+        w = (w - self.lefts[0] - self.margins['left'][0] -
+             self.margins['leftcb'][0])
+        w0 = w / self.width_ratios[0]
+        # from left to right
+        for i in range(1, self.ncols):
+            w = (self.rights[i] - self.margins['right'][i] -
+                 self.margins['rightcb'][i])
+            w = (w - self.lefts[i] - self.margins['left'][i] -
+                 self.margins['leftcb'][i])
+            c = (w == w0 * self.width_ratios[i])
+            self.solver.addConstraint(c | 'strong')
+            # constrain the grid cells to be directly next to each other.
+            c = (self.rights[i - 1] == self.lefts[i])
+            self.solver.addConstraint(c | 'strong')
+
+        # constrain heights:
+        h = self.tops[0] - self.margins['top'][0] - self.margins['topcb'][0]
+        h = (h - self.bottoms[0] - self.margins['bottom'][0] -
+             self.margins['bottomcb'][0])
+        h0 = h / self.height_ratios[0]
+        # from top to bottom:
+        for i in range(1, self.nrows):
+            h = (self.tops[i] - self.margins['top'][i] -
+                 self.margins['topcb'][i])
+            h = (h - self.bottoms[i] - self.margins['bottom'][i] -
+                 self.margins['bottomcb'][i])
+            c = (h == h0 * self.height_ratios[i])
+            self.solver.addConstraint(c | 'strong')
+            # constrain the grid cells to be directly above each other.
+            c = (self.bottoms[i - 1] == self.tops[i])
+            self.solver.addConstraint(c | 'strong')
+
+    # Margin editing:  The margins are variable and meant to
+    # contain things of a fixed size like axes labels, tick labels, titles
+    # etc
+    def edit_margin(self, todo, size, cell):
+        """
+        Change the size of the margin for one cell.
+
+        Parameters
+        ----------
+        todo : string (one of 'left', 'right', 'bottom', 'top')
+            margin to alter.
+
+        size : float
+            Size of the margin.  If it is larger than the existing minimum it
+            updates the margin size. Fraction of figure size.
+
+        cell : int
+            Cell column or row to edit.
+        """
+        self.solver.suggestValue(self.margins[todo][cell], size)
+        self.margin_vals[todo][cell] = size
+
+    def edit_margin_min(self, todo, size, cell=0):
+        """
+        Change the minimum size of the margin for one cell.
+
+        Parameters
+        ----------
+        todo : string (one of 'left', 'right', 'bottom', 'top')
+            margin to alter.
+
+        size : float
+            Minimum size of the margin .  If it is larger than the
+            existing minimum it updates the margin size. Fraction of
+            figure size.
+
+        cell : int
+            Cell column or row to edit.
+        """
+
+        if size > self.margin_vals[todo][cell]:
+            self.edit_margin(todo, size, cell)
+
+    def edit_margins(self, todo, size):
+        """
+        Change the size of all the margin of all the cells in the layout grid.
+
+        Parameters
+        ----------
+        todo : string (one of 'left', 'right', 'bottom', 'top')
+            margin to alter.
+
+        size : float
+            Size to set the margins.  Fraction of figure size.
+        """
+
+        for i in range(len(self.margin_vals[todo])):
+            self.edit_margin(todo, size, i)
+
+    def edit_all_margins_min(self, todo, size):
+        """
+        Change the minimum size of all the margin of all
+        the cells in the layout grid.
+
+        Parameters
+        ----------
+        todo : {'left', 'right', 'bottom', 'top'}
+            The margin to alter.
+
+        size : float
+            Minimum size of the margin.  If it is larger than the
+            existing minimum it updates the margin size. Fraction of
+            figure size.
+        """
+
+        for i in range(len(self.margin_vals[todo])):
+            self.edit_margin_min(todo, size, i)
+
+    def edit_outer_margin_mins(self, margin, ss):
+        """
+        Edit all four margin minimums in one statement.
+
+        Parameters
+        ----------
+        margin : dict
+            size of margins in a dict with keys 'left', 'right', 'bottom',
+            'top'
+
+        ss : SubplotSpec
+            defines the subplotspec these margins should be applied to
+        """
+
+        self.edit_margin_min('left', margin['left'], ss.colspan.start)
+        self.edit_margin_min('leftcb', margin['leftcb'], ss.colspan.start)
+        self.edit_margin_min('right', margin['right'], ss.colspan.stop - 1)
+        self.edit_margin_min('rightcb', margin['rightcb'], ss.colspan.stop - 1)
+        # rows are from the top down:
+        self.edit_margin_min('top', margin['top'], ss.rowspan.start)
+        self.edit_margin_min('topcb', margin['topcb'], ss.rowspan.start)
+        self.edit_margin_min('bottom', margin['bottom'], ss.rowspan.stop - 1)
+        self.edit_margin_min('bottomcb', margin['bottomcb'],
+                             ss.rowspan.stop - 1)
+
+    def get_margins(self, todo, col):
+        """Return the margin at this position"""
+        return self.margin_vals[todo][col]
+
+    def get_outer_bbox(self, rows=0, cols=0):
+        """
+        Return the outer bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            self.lefts[cols[0]].value(),
+            self.bottoms[rows[-1]].value(),
+            self.rights[cols[-1]].value(),
+            self.tops[rows[0]].value())
+        return bbox
+
+    def get_inner_bbox(self, rows=0, cols=0):
+        """
+        Return the inner bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.lefts[cols[0]].value() +
+                self.margins['left'][cols[0]].value() +
+                self.margins['leftcb'][cols[0]].value()),
+            (self.bottoms[rows[-1]].value() +
+                self.margins['bottom'][rows[-1]].value() +
+                self.margins['bottomcb'][rows[-1]].value()),
+            (self.rights[cols[-1]].value() -
+                self.margins['right'][cols[-1]].value() -
+                self.margins['rightcb'][cols[-1]].value()),
+            (self.tops[rows[0]].value() -
+                self.margins['top'][rows[0]].value() -
+                self.margins['topcb'][rows[0]].value())
+        )
+        return bbox
+
+    def get_bbox_for_cb(self, rows=0, cols=0):
+        """
+        Return the bounding box that includes the
+        decorations but, *not* the colorbar...
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.lefts[cols[0]].value() +
+                self.margins['leftcb'][cols[0]].value()),
+            (self.bottoms[rows[-1]].value() +
+                self.margins['bottomcb'][rows[-1]].value()),
+            (self.rights[cols[-1]].value() -
+                self.margins['rightcb'][cols[-1]].value()),
+            (self.tops[rows[0]].value() -
+                self.margins['topcb'][rows[0]].value())
+        )
+        return bbox
+
+    def get_left_margin_bbox(self, rows=0, cols=0):
+        """
+        Return the left margin bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.lefts[cols[0]].value() +
+                self.margins['leftcb'][cols[0]].value()),
+            (self.bottoms[rows[-1]].value()),
+            (self.lefts[cols[0]].value() +
+                self.margins['leftcb'][cols[0]].value() +
+                self.margins['left'][cols[0]].value()),
+            (self.tops[rows[0]].value()))
+        return bbox
+
+    def get_bottom_margin_bbox(self, rows=0, cols=0):
+        """
+        Return the left margin bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.lefts[cols[0]].value()),
+            (self.bottoms[rows[-1]].value() +
+             self.margins['bottomcb'][rows[-1]].value()),
+            (self.rights[cols[-1]].value()),
+            (self.bottoms[rows[-1]].value() +
+                self.margins['bottom'][rows[-1]].value() +
+             self.margins['bottomcb'][rows[-1]].value()
+             ))
+        return bbox
+
+    def get_right_margin_bbox(self, rows=0, cols=0):
+        """
+        Return the left margin bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.rights[cols[-1]].value() -
+                self.margins['right'][cols[-1]].value() -
+                self.margins['rightcb'][cols[-1]].value()),
+            (self.bottoms[rows[-1]].value()),
+            (self.rights[cols[-1]].value() -
+                self.margins['rightcb'][cols[-1]].value()),
+            (self.tops[rows[0]].value()))
+        return bbox
+
+    def get_top_margin_bbox(self, rows=0, cols=0):
+        """
+        Return the left margin bounding box of the subplot specs
+        given by rows and cols.  rows and cols can be spans.
+        """
+        rows = np.atleast_1d(rows)
+        cols = np.atleast_1d(cols)
+
+        bbox = Bbox.from_extents(
+            (self.lefts[cols[0]].value()),
+            (self.tops[rows[0]].value() -
+                self.margins['topcb'][rows[0]].value()),
+            (self.rights[cols[-1]].value()),
+            (self.tops[rows[0]].value() -
+                self.margins['topcb'][rows[0]].value() -
+                self.margins['top'][rows[0]].value()))
+        return bbox
+
+    def update_variables(self):
+        """
+        Update the variables for the solver attached to this layoutgrid.
+        """
+        self.solver.updateVariables()
+
+_layoutboxobjnum = itertools.count()
+
+
+def seq_id():
+    """Generate a short sequential id for layoutbox objects."""
+    return '%06d' % next(_layoutboxobjnum)
+
+
+def plot_children(fig, lg=None, level=0):
+    """Simple plotting to show where boxes are."""
+    if lg is None:
+        _layoutgrids = fig.get_layout_engine().execute(fig)
+        lg = _layoutgrids[fig]
+    colors = mpl.rcParams["axes.prop_cycle"].by_key()["color"]
+    col = colors[level]
+    for i in range(lg.nrows):
+        for j in range(lg.ncols):
+            bb = lg.get_outer_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bb.p0, bb.width, bb.height, linewidth=1,
+                                   edgecolor='0.7', facecolor='0.7',
+                                   alpha=0.2, transform=fig.transFigure,
+                                   zorder=-3))
+            bbi = lg.get_inner_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=2,
+                                   edgecolor=col, facecolor='none',
+                                   transform=fig.transFigure, zorder=-2))
+
+            bbi = lg.get_left_margin_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
+                                   edgecolor='none', alpha=0.2,
+                                   facecolor=[0.5, 0.7, 0.5],
+                                   transform=fig.transFigure, zorder=-2))
+            bbi = lg.get_right_margin_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
+                                   edgecolor='none', alpha=0.2,
+                                   facecolor=[0.7, 0.5, 0.5],
+                                   transform=fig.transFigure, zorder=-2))
+            bbi = lg.get_bottom_margin_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
+                                   edgecolor='none', alpha=0.2,
+                                   facecolor=[0.5, 0.5, 0.7],
+                                   transform=fig.transFigure, zorder=-2))
+            bbi = lg.get_top_margin_bbox(rows=i, cols=j)
+            fig.add_artist(
+                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
+                                   edgecolor='none', alpha=0.2,
+                                   facecolor=[0.7, 0.2, 0.7],
+                                   transform=fig.transFigure, zorder=-2))
+    for ch in lg.children.flat:
+        if ch is not None:
+            plot_children(fig, ch, level=level+1)
diff --git a/lib/matplotlib/_mathtext.py b/lib/matplotlib/_mathtext.py
new file mode 100644
index 000000000000..19ddbb6d0883
--- /dev/null
+++ b/lib/matplotlib/_mathtext.py
@@ -0,0 +1,2864 @@
+"""
+Implementation details for :mod:`.mathtext`.
+"""
+
+from __future__ import annotations
+
+import abc
+import copy
+import enum
+import functools
+import logging
+import math
+import os
+import re
+import types
+import unicodedata
+import string
+import textwrap
+import typing as T
+from typing import NamedTuple
+
+import numpy as np
+from numpy.typing import NDArray
+from pyparsing import (
+    Empty, Forward, Literal, Group, NotAny, OneOrMore, Optional,
+    ParseBaseException, ParseException, ParseExpression, ParseFatalException,
+    ParserElement, ParseResults, QuotedString, Regex, StringEnd, ZeroOrMore,
+    pyparsing_common, nested_expr, one_of)
+
+import matplotlib as mpl
+from . import cbook
+from ._mathtext_data import (
+    latex_to_bakoma, stix_glyph_fixes, stix_virtual_fonts, tex2uni)
+from .font_manager import FontProperties, findfont, get_font
+from .ft2font import FT2Font, Kerning, LoadFlags
+
+
+if T.TYPE_CHECKING:
+    from collections.abc import Iterable
+    from .ft2font import Glyph
+
+ParserElement.enable_packrat()
+_log = logging.getLogger("matplotlib.mathtext")
+
+
+##############################################################################
+# FONTS
+
+
+def get_unicode_index(symbol: str) -> int:  # Publicly exported.
+    r"""
+    Return the integer index (from the Unicode table) of *symbol*.
+
+    Parameters
+    ----------
+    symbol : str
+        A single (Unicode) character, a TeX command (e.g. r'\pi') or a Type1
+        symbol name (e.g. 'phi').
+    """
+    try:  # This will succeed if symbol is a single Unicode char
+        return ord(symbol)
+    except TypeError:
+        pass
+    try:  # Is symbol a TeX symbol (i.e. \alpha)
+        return tex2uni[symbol.strip("\\")]
+    except KeyError as err:
+        raise ValueError(
+            f"{symbol!r} is not a valid Unicode character or TeX/Type1 symbol"
+            ) from err
+
+
+class VectorParse(NamedTuple):
+    """
+    The namedtuple type returned by ``MathTextParser("path").parse(...)``.
+
+    Attributes
+    ----------
+    width, height, depth : float
+        The global metrics.
+    glyphs : list
+        The glyphs including their positions.
+    rect : list
+        The list of rectangles.
+    """
+    width: float
+    height: float
+    depth: float
+    glyphs: list[tuple[FT2Font, float, int, float, float]]
+    rects: list[tuple[float, float, float, float]]
+
+VectorParse.__module__ = "matplotlib.mathtext"
+
+
+class RasterParse(NamedTuple):
+    """
+    The namedtuple type returned by ``MathTextParser("agg").parse(...)``.
+
+    Attributes
+    ----------
+    ox, oy : float
+        The offsets are always zero.
+    width, height, depth : float
+        The global metrics.
+    image : 2D array of uint8
+        A raster image.
+    """
+    ox: float
+    oy: float
+    width: float
+    height: float
+    depth: float
+    image: NDArray[np.uint8]
+
+RasterParse.__module__ = "matplotlib.mathtext"
+
+
+class Output:
+    r"""
+    Result of `ship`\ping a box: lists of positioned glyphs and rectangles.
+
+    This class is not exposed to end users, but converted to a `VectorParse` or
+    a `RasterParse` by `.MathTextParser.parse`.
+    """
+
+    def __init__(self, box: Box):
+        self.box = box
+        self.glyphs: list[tuple[float, float, FontInfo]] = []  # (ox, oy, info)
+        self.rects: list[tuple[float, float, float, float]] = []  # (x1, y1, x2, y2)
+
+    def to_vector(self) -> VectorParse:
+        w, h, d = map(
+            np.ceil, [self.box.width, self.box.height, self.box.depth])
+        gs = [(info.font, info.fontsize, info.num, ox, h - oy + info.offset)
+              for ox, oy, info in self.glyphs]
+        rs = [(x1, h - y2, x2 - x1, y2 - y1)
+              for x1, y1, x2, y2 in self.rects]
+        return VectorParse(w, h + d, d, gs, rs)
+
+    def to_raster(self, *, antialiased: bool) -> RasterParse:
+        # Metrics y's and mathtext y's are oriented in opposite directions,
+        # hence the switch between ymin and ymax.
+        xmin = min([*[ox + info.metrics.xmin for ox, oy, info in self.glyphs],
+                    *[x1 for x1, y1, x2, y2 in self.rects], 0]) - 1
+        ymin = min([*[oy - info.metrics.ymax for ox, oy, info in self.glyphs],
+                    *[y1 for x1, y1, x2, y2 in self.rects], 0]) - 1
+        xmax = max([*[ox + info.metrics.xmax for ox, oy, info in self.glyphs],
+                    *[x2 for x1, y1, x2, y2 in self.rects], 0]) + 1
+        ymax = max([*[oy - info.metrics.ymin for ox, oy, info in self.glyphs],
+                    *[y2 for x1, y1, x2, y2 in self.rects], 0]) + 1
+        w = xmax - xmin
+        h = ymax - ymin - self.box.depth
+        d = ymax - ymin - self.box.height
+        image = np.zeros((math.ceil(h + max(d, 0)), math.ceil(w)), np.uint8)
+
+        # Ideally, we could just use self.glyphs and self.rects here, shifting
+        # their coordinates by (-xmin, -ymin), but this yields slightly
+        # different results due to floating point slop; shipping twice is the
+        # old approach and keeps baseline images backcompat.
+        shifted = ship(self.box, (-xmin, -ymin))
+
+        for ox, oy, info in shifted.glyphs:
+            info.font.draw_glyph_to_bitmap(
+                image, int(ox), int(oy - info.metrics.iceberg), info.glyph,
+                antialiased=antialiased)
+        for x1, y1, x2, y2 in shifted.rects:
+            height = max(int(y2 - y1) - 1, 0)
+            if height == 0:
+                center = (y2 + y1) / 2
+                y = int(center - (height + 1) / 2)
+            else:
+                y = int(y1)
+            x1 = math.floor(x1)
+            x2 = math.ceil(x2)
+            image[y:y+height+1, x1:x2+1] = 0xff
+        return RasterParse(0, 0, w, h + d, d, image)
+
+
+class FontMetrics(NamedTuple):
+    """
+    Metrics of a font.
+
+    Attributes
+    ----------
+    advance : float
+        The advance distance (in points) of the glyph.
+    height : float
+        The height of the glyph in points.
+    width : float
+        The width of the glyph in points.
+    xmin, xmax, ymin, ymax : float
+        The ink rectangle of the glyph.
+    iceberg : float
+        The distance from the baseline to the top of the glyph. (This corresponds to
+        TeX's definition of "height".)
+    slanted : bool
+        Whether the glyph should be considered as "slanted" (currently used for kerning
+        sub/superscripts).
+    """
+    advance: float
+    height: float
+    width: float
+    xmin: float
+    xmax: float
+    ymin: float
+    ymax: float
+    iceberg: float
+    slanted: bool
+
+
+class FontInfo(NamedTuple):
+    font: FT2Font
+    fontsize: float
+    postscript_name: str
+    metrics: FontMetrics
+    num: int
+    glyph: Glyph
+    offset: float
+
+
+class Fonts(abc.ABC):
+    """
+    An abstract base class for a system of fonts to use for mathtext.
+
+    The class must be able to take symbol keys and font file names and
+    return the character metrics.  It also delegates to a backend class
+    to do the actual drawing.
+    """
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        """
+        Parameters
+        ----------
+        default_font_prop : `~.font_manager.FontProperties`
+            The default non-math font, or the base font for Unicode (generic)
+            font rendering.
+        load_glyph_flags : `.ft2font.LoadFlags`
+            Flags passed to the glyph loader (e.g. ``FT_Load_Glyph`` and
+            ``FT_Load_Char`` for FreeType-based fonts).
+        """
+        self.default_font_prop = default_font_prop
+        self.load_glyph_flags = load_glyph_flags
+
+    def get_kern(self, font1: str, fontclass1: str, sym1: str, fontsize1: float,
+                 font2: str, fontclass2: str, sym2: str, fontsize2: float,
+                 dpi: float) -> float:
+        """
+        Get the kerning distance for font between *sym1* and *sym2*.
+
+        See `~.Fonts.get_metrics` for a detailed description of the parameters.
+        """
+        return 0.
+
+    def _get_font(self, font: str) -> FT2Font:
+        raise NotImplementedError
+
+    def _get_info(self, font: str, font_class: str, sym: str, fontsize: float,
+                  dpi: float) -> FontInfo:
+        raise NotImplementedError
+
+    def get_metrics(self, font: str, font_class: str, sym: str, fontsize: float,
+                    dpi: float) -> FontMetrics:
+        r"""
+        Parameters
+        ----------
+        font : str
+            One of the TeX font names: "tt", "it", "rm", "cal", "sf", "bf",
+            "default", "regular", "bb", "frak", "scr".  "default" and "regular"
+            are synonyms and use the non-math font.
+        font_class : str
+            One of the TeX font names (as for *font*), but **not** "bb",
+            "frak", or "scr".  This is used to combine two font classes.  The
+            only supported combination currently is ``get_metrics("frak", "bf",
+            ...)``.
+        sym : str
+            A symbol in raw TeX form, e.g., "1", "x", or "\sigma".
+        fontsize : float
+            Font size in points.
+        dpi : float
+            Rendering dots-per-inch.
+
+        Returns
+        -------
+        FontMetrics
+        """
+        info = self._get_info(font, font_class, sym, fontsize, dpi)
+        return info.metrics
+
+    def render_glyph(self, output: Output, ox: float, oy: float, font: str,
+                     font_class: str, sym: str, fontsize: float, dpi: float) -> None:
+        """
+        At position (*ox*, *oy*), draw the glyph specified by the remaining
+        parameters (see `get_metrics` for their detailed description).
+        """
+        info = self._get_info(font, font_class, sym, fontsize, dpi)
+        output.glyphs.append((ox, oy, info))
+
+    def render_rect_filled(self, output: Output,
+                           x1: float, y1: float, x2: float, y2: float) -> None:
+        """
+        Draw a filled rectangle from (*x1*, *y1*) to (*x2*, *y2*).
+        """
+        output.rects.append((x1, y1, x2, y2))
+
+    def get_xheight(self, font: str, fontsize: float, dpi: float) -> float:
+        """
+        Get the xheight for the given *font* and *fontsize*.
+        """
+        raise NotImplementedError()
+
+    def get_underline_thickness(self, font: str, fontsize: float, dpi: float) -> float:
+        """
+        Get the line thickness that matches the given font.  Used as a
+        base unit for drawing lines such as in a fraction or radical.
+        """
+        raise NotImplementedError()
+
+    def get_sized_alternatives_for_symbol(self, fontname: str,
+                                          sym: str) -> list[tuple[str, str]]:
+        """
+        Override if your font provides multiple sizes of the same
+        symbol.  Should return a list of symbols matching *sym* in
+        various sizes.  The expression renderer will select the most
+        appropriate size for a given situation from this list.
+        """
+        return [(fontname, sym)]
+
+
+class TruetypeFonts(Fonts, metaclass=abc.ABCMeta):
+    """
+    A generic base class for all font setups that use Truetype fonts
+    (through FT2Font).
+    """
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        super().__init__(default_font_prop, load_glyph_flags)
+        # Per-instance cache.
+        self._get_info = functools.cache(self._get_info)  # type: ignore[method-assign]
+        self._fonts = {}
+        self.fontmap: dict[str | int, str] = {}
+
+        filename = findfont(self.default_font_prop)
+        default_font = get_font(filename)
+        self._fonts['default'] = default_font
+        self._fonts['regular'] = default_font
+
+    def _get_font(self, font: str | int) -> FT2Font:
+        if font in self.fontmap:
+            basename = self.fontmap[font]
+        else:
+            # NOTE: An int is only passed by subclasses which have placed int keys into
+            # `self.fontmap`, so we must cast this to confirm it to typing.
+            basename = T.cast(str, font)
+        cached_font = self._fonts.get(basename)
+        if cached_font is None and os.path.exists(basename):
+            cached_font = get_font(basename)
+            self._fonts[basename] = cached_font
+            self._fonts[cached_font.postscript_name] = cached_font
+            self._fonts[cached_font.postscript_name.lower()] = cached_font
+        return T.cast(FT2Font, cached_font)  # FIXME: Not sure this is guaranteed.
+
+    def _get_offset(self, font: FT2Font, glyph: Glyph, fontsize: float,
+                    dpi: float) -> float:
+        if font.postscript_name == 'Cmex10':
+            return (glyph.height / 64 / 2) + (fontsize/3 * dpi/72)
+        return 0.
+
+    def _get_glyph(self, fontname: str, font_class: str,
+                   sym: str) -> tuple[FT2Font, int, bool]:
+        raise NotImplementedError
+
+    # The return value of _get_info is cached per-instance.
+    def _get_info(self, fontname: str, font_class: str, sym: str, fontsize: float,
+                  dpi: float) -> FontInfo:
+        font, num, slanted = self._get_glyph(fontname, font_class, sym)
+        font.set_size(fontsize, dpi)
+        glyph = font.load_char(num, flags=self.load_glyph_flags)
+
+        xmin, ymin, xmax, ymax = (val / 64 for val in glyph.bbox)
+        offset = self._get_offset(font, glyph, fontsize, dpi)
+        metrics = FontMetrics(
+            advance=glyph.linearHoriAdvance / 65536,
+            height=glyph.height / 64,
+            width=glyph.width / 64,
+            xmin=xmin,
+            xmax=xmax,
+            ymin=ymin + offset,
+            ymax=ymax + offset,
+            # iceberg is the equivalent of TeX's "height"
+            iceberg=glyph.horiBearingY / 64 + offset,
+            slanted=slanted
+        )
+
+        return FontInfo(
+            font=font,
+            fontsize=fontsize,
+            postscript_name=font.postscript_name,
+            metrics=metrics,
+            num=num,
+            glyph=glyph,
+            offset=offset
+        )
+
+    def get_xheight(self, fontname: str, fontsize: float, dpi: float) -> float:
+        font = self._get_font(fontname)
+        font.set_size(fontsize, dpi)
+        pclt = font.get_sfnt_table('pclt')
+        if pclt is None:
+            # Some fonts don't store the xHeight, so we do a poor man's xHeight
+            metrics = self.get_metrics(
+                fontname, mpl.rcParams['mathtext.default'], 'x', fontsize, dpi)
+            return metrics.iceberg
+        xHeight = (pclt['xHeight'] / 64.0) * (fontsize / 12.0) * (dpi / 100.0)
+        return xHeight
+
+    def get_underline_thickness(self, font: str, fontsize: float, dpi: float) -> float:
+        # This function used to grab underline thickness from the font
+        # metrics, but that information is just too un-reliable, so it
+        # is now hardcoded.
+        return ((0.75 / 12.0) * fontsize * dpi) / 72.0
+
+    def get_kern(self, font1: str, fontclass1: str, sym1: str, fontsize1: float,
+                 font2: str, fontclass2: str, sym2: str, fontsize2: float,
+                 dpi: float) -> float:
+        if font1 == font2 and fontsize1 == fontsize2:
+            info1 = self._get_info(font1, fontclass1, sym1, fontsize1, dpi)
+            info2 = self._get_info(font2, fontclass2, sym2, fontsize2, dpi)
+            font = info1.font
+            return font.get_kerning(info1.num, info2.num, Kerning.DEFAULT) / 64
+        return super().get_kern(font1, fontclass1, sym1, fontsize1,
+                                font2, fontclass2, sym2, fontsize2, dpi)
+
+
+class BakomaFonts(TruetypeFonts):
+    """
+    Use the Bakoma TrueType fonts for rendering.
+
+    Symbols are strewn about a number of font files, each of which has
+    its own proprietary 8-bit encoding.
+    """
+    _fontmap = {
+        'cal': 'cmsy10',
+        'rm':  'cmr10',
+        'tt':  'cmtt10',
+        'it':  'cmmi10',
+        'bf':  'cmb10',
+        'sf':  'cmss10',
+        'ex':  'cmex10',
+    }
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        self._stix_fallback = StixFonts(default_font_prop, load_glyph_flags)
+
+        super().__init__(default_font_prop, load_glyph_flags)
+        for key, val in self._fontmap.items():
+            fullpath = findfont(val)
+            self.fontmap[key] = fullpath
+            self.fontmap[val] = fullpath
+
+    _slanted_symbols = set(r"\int \oint".split())
+
+    def _get_glyph(self, fontname: str, font_class: str,
+                   sym: str) -> tuple[FT2Font, int, bool]:
+        font = None
+        if fontname in self.fontmap and sym in latex_to_bakoma:
+            basename, num = latex_to_bakoma[sym]
+            slanted = (basename == "cmmi10") or sym in self._slanted_symbols
+            font = self._get_font(basename)
+        elif len(sym) == 1:
+            slanted = (fontname == "it")
+            font = self._get_font(fontname)
+            if font is not None:
+                num = ord(sym)
+        if font is not None and font.get_char_index(num) != 0:
+            return font, num, slanted
+        else:
+            return self._stix_fallback._get_glyph(fontname, font_class, sym)
+
+    # The Bakoma fonts contain many pre-sized alternatives for the
+    # delimiters.  The AutoSizedChar class will use these alternatives
+    # and select the best (closest sized) glyph.
+    _size_alternatives = {
+        '(':           [('rm', '('), ('ex', '\xa1'), ('ex', '\xb3'),
+                        ('ex', '\xb5'), ('ex', '\xc3')],
+        ')':           [('rm', ')'), ('ex', '\xa2'), ('ex', '\xb4'),
+                        ('ex', '\xb6'), ('ex', '\x21')],
+        '{':           [('cal', '{'), ('ex', '\xa9'), ('ex', '\x6e'),
+                        ('ex', '\xbd'), ('ex', '\x28')],
+        '}':           [('cal', '}'), ('ex', '\xaa'), ('ex', '\x6f'),
+                        ('ex', '\xbe'), ('ex', '\x29')],
+        # The fourth size of '[' is mysteriously missing from the BaKoMa
+        # font, so I've omitted it for both '[' and ']'
+        '[':           [('rm', '['), ('ex', '\xa3'), ('ex', '\x68'),
+                        ('ex', '\x22')],
+        ']':           [('rm', ']'), ('ex', '\xa4'), ('ex', '\x69'),
+                        ('ex', '\x23')],
+        r'\lfloor':    [('ex', '\xa5'), ('ex', '\x6a'),
+                        ('ex', '\xb9'), ('ex', '\x24')],
+        r'\rfloor':    [('ex', '\xa6'), ('ex', '\x6b'),
+                        ('ex', '\xba'), ('ex', '\x25')],
+        r'\lceil':     [('ex', '\xa7'), ('ex', '\x6c'),
+                        ('ex', '\xbb'), ('ex', '\x26')],
+        r'\rceil':     [('ex', '\xa8'), ('ex', '\x6d'),
+                        ('ex', '\xbc'), ('ex', '\x27')],
+        r'\langle':    [('ex', '\xad'), ('ex', '\x44'),
+                        ('ex', '\xbf'), ('ex', '\x2a')],
+        r'\rangle':    [('ex', '\xae'), ('ex', '\x45'),
+                        ('ex', '\xc0'), ('ex', '\x2b')],
+        r'\__sqrt__':  [('ex', '\x70'), ('ex', '\x71'),
+                        ('ex', '\x72'), ('ex', '\x73')],
+        r'\backslash': [('ex', '\xb2'), ('ex', '\x2f'),
+                        ('ex', '\xc2'), ('ex', '\x2d')],
+        r'/':          [('rm', '/'), ('ex', '\xb1'), ('ex', '\x2e'),
+                        ('ex', '\xcb'), ('ex', '\x2c')],
+        r'\widehat':   [('rm', '\x5e'), ('ex', '\x62'), ('ex', '\x63'),
+                        ('ex', '\x64')],
+        r'\widetilde': [('rm', '\x7e'), ('ex', '\x65'), ('ex', '\x66'),
+                        ('ex', '\x67')],
+        r'<':          [('cal', 'h'), ('ex', 'D')],
+        r'>':          [('cal', 'i'), ('ex', 'E')]
+        }
+
+    for alias, target in [(r'\leftparen', '('),
+                          (r'\rightparen', ')'),
+                          (r'\leftbrace', '{'),
+                          (r'\rightbrace', '}'),
+                          (r'\leftbracket', '['),
+                          (r'\rightbracket', ']'),
+                          (r'\{', '{'),
+                          (r'\}', '}'),
+                          (r'\[', '['),
+                          (r'\]', ']')]:
+        _size_alternatives[alias] = _size_alternatives[target]
+
+    def get_sized_alternatives_for_symbol(self, fontname: str,
+                                          sym: str) -> list[tuple[str, str]]:
+        return self._size_alternatives.get(sym, [(fontname, sym)])
+
+
+class UnicodeFonts(TruetypeFonts):
+    """
+    An abstract base class for handling Unicode fonts.
+
+    While some reasonably complete Unicode fonts (such as DejaVu) may
+    work in some situations, the only Unicode font I'm aware of with a
+    complete set of math symbols is STIX.
+
+    This class will "fallback" on the Bakoma fonts when a required
+    symbol cannot be found in the font.
+    """
+
+    # Some glyphs are not present in the `cmr10` font, and must be brought in
+    # from `cmsy10`. Map the Unicode indices of those glyphs to the indices at
+    # which they are found in `cmsy10`.
+    _cmr10_substitutions = {
+        0x00D7: 0x00A3,  # Multiplication sign.
+        0x2212: 0x00A1,  # Minus sign.
+    }
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        # This must come first so the backend's owner is set correctly
+        fallback_rc = mpl.rcParams['mathtext.fallback']
+        font_cls: type[TruetypeFonts] | None = {
+            'stix': StixFonts,
+            'stixsans': StixSansFonts,
+            'cm': BakomaFonts
+        }.get(fallback_rc)
+        self._fallback_font = (font_cls(default_font_prop, load_glyph_flags)
+                               if font_cls else None)
+
+        super().__init__(default_font_prop, load_glyph_flags)
+        for texfont in "cal rm tt it bf sf bfit".split():
+            prop = mpl.rcParams['mathtext.' + texfont]
+            font = findfont(prop)
+            self.fontmap[texfont] = font
+        prop = FontProperties('cmex10')
+        font = findfont(prop)
+        self.fontmap['ex'] = font
+
+        # include STIX sized alternatives for glyphs if fallback is STIX
+        if isinstance(self._fallback_font, StixFonts):
+            stixsizedaltfonts = {
+                 0: 'STIXGeneral',
+                 1: 'STIXSizeOneSym',
+                 2: 'STIXSizeTwoSym',
+                 3: 'STIXSizeThreeSym',
+                 4: 'STIXSizeFourSym',
+                 5: 'STIXSizeFiveSym'}
+
+            for size, name in stixsizedaltfonts.items():
+                fullpath = findfont(name)
+                self.fontmap[size] = fullpath
+                self.fontmap[name] = fullpath
+
+    _slanted_symbols = set(r"\int \oint".split())
+
+    def _map_virtual_font(self, fontname: str, font_class: str,
+                          uniindex: int) -> tuple[str, int]:
+        return fontname, uniindex
+
+    def _get_glyph(self, fontname: str, font_class: str,
+                   sym: str) -> tuple[FT2Font, int, bool]:
+        try:
+            uniindex = get_unicode_index(sym)
+            found_symbol = True
+        except ValueError:
+            uniindex = ord('?')
+            found_symbol = False
+            _log.warning("No TeX to Unicode mapping for %a.", sym)
+
+        fontname, uniindex = self._map_virtual_font(
+            fontname, font_class, uniindex)
+
+        new_fontname = fontname
+
+        # Only characters in the "Letter" class should be italicized in 'it'
+        # mode.  Greek capital letters should be Roman.
+        if found_symbol:
+            if fontname == 'it' and uniindex < 0x10000:
+                char = chr(uniindex)
+                if (unicodedata.category(char)[0] != "L"
+                        or unicodedata.name(char).startswith("GREEK CAPITAL")):
+                    new_fontname = 'rm'
+
+            slanted = (new_fontname == 'it') or sym in self._slanted_symbols
+            found_symbol = False
+            font = self._get_font(new_fontname)
+            if font is not None:
+                if (uniindex in self._cmr10_substitutions
+                        and font.family_name == "cmr10"):
+                    font = get_font(
+                        cbook._get_data_path("fonts/ttf/cmsy10.ttf"))
+                    uniindex = self._cmr10_substitutions[uniindex]
+                glyphindex = font.get_char_index(uniindex)
+                if glyphindex != 0:
+                    found_symbol = True
+
+        if not found_symbol:
+            if self._fallback_font:
+                if (fontname in ('it', 'regular')
+                        and isinstance(self._fallback_font, StixFonts)):
+                    fontname = 'rm'
+
+                g = self._fallback_font._get_glyph(fontname, font_class, sym)
+                family = g[0].family_name
+                if family in list(BakomaFonts._fontmap.values()):
+                    family = "Computer Modern"
+                _log.info("Substituting symbol %s from %s", sym, family)
+                return g
+
+            else:
+                if (fontname in ('it', 'regular')
+                        and isinstance(self, StixFonts)):
+                    return self._get_glyph('rm', font_class, sym)
+                _log.warning("Font %r does not have a glyph for %a [U+%x], "
+                             "substituting with a dummy symbol.",
+                             new_fontname, sym, uniindex)
+                font = self._get_font('rm')
+                uniindex = 0xA4  # currency char, for lack of anything better
+                slanted = False
+
+        return font, uniindex, slanted
+
+    def get_sized_alternatives_for_symbol(self, fontname: str,
+                                          sym: str) -> list[tuple[str, str]]:
+        if self._fallback_font:
+            return self._fallback_font.get_sized_alternatives_for_symbol(
+                fontname, sym)
+        return [(fontname, sym)]
+
+
+class DejaVuFonts(UnicodeFonts, metaclass=abc.ABCMeta):
+    _fontmap: dict[str | int, str] = {}
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        # This must come first so the backend's owner is set correctly
+        if isinstance(self, DejaVuSerifFonts):
+            self._fallback_font = StixFonts(default_font_prop, load_glyph_flags)
+        else:
+            self._fallback_font = StixSansFonts(default_font_prop, load_glyph_flags)
+        self.bakoma = BakomaFonts(default_font_prop, load_glyph_flags)
+        TruetypeFonts.__init__(self, default_font_prop, load_glyph_flags)
+        # Include Stix sized alternatives for glyphs
+        self._fontmap.update({
+            1: 'STIXSizeOneSym',
+            2: 'STIXSizeTwoSym',
+            3: 'STIXSizeThreeSym',
+            4: 'STIXSizeFourSym',
+            5: 'STIXSizeFiveSym',
+        })
+        for key, name in self._fontmap.items():
+            fullpath = findfont(name)
+            self.fontmap[key] = fullpath
+            self.fontmap[name] = fullpath
+
+    def _get_glyph(self, fontname: str, font_class: str,
+                   sym: str) -> tuple[FT2Font, int, bool]:
+        # Override prime symbol to use Bakoma.
+        if sym == r'\prime':
+            return self.bakoma._get_glyph(fontname, font_class, sym)
+        else:
+            # check whether the glyph is available in the display font
+            uniindex = get_unicode_index(sym)
+            font = self._get_font('ex')
+            if font is not None:
+                glyphindex = font.get_char_index(uniindex)
+                if glyphindex != 0:
+                    return super()._get_glyph('ex', font_class, sym)
+            # otherwise return regular glyph
+            return super()._get_glyph(fontname, font_class, sym)
+
+
+class DejaVuSerifFonts(DejaVuFonts):
+    """
+    A font handling class for the DejaVu Serif fonts
+
+    If a glyph is not found it will fallback to Stix Serif
+    """
+    _fontmap = {
+        'rm': 'DejaVu Serif',
+        'it': 'DejaVu Serif:italic',
+        'bf': 'DejaVu Serif:weight=bold',
+        'bfit': 'DejaVu Serif:italic:bold',
+        'sf': 'DejaVu Sans',
+        'tt': 'DejaVu Sans Mono',
+        'ex': 'DejaVu Serif Display',
+        0:    'DejaVu Serif',
+    }
+
+
+class DejaVuSansFonts(DejaVuFonts):
+    """
+    A font handling class for the DejaVu Sans fonts
+
+    If a glyph is not found it will fallback to Stix Sans
+    """
+    _fontmap = {
+        'rm': 'DejaVu Sans',
+        'it': 'DejaVu Sans:italic',
+        'bf': 'DejaVu Sans:weight=bold',
+        'bfit': 'DejaVu Sans:italic:bold',
+        'sf': 'DejaVu Sans',
+        'tt': 'DejaVu Sans Mono',
+        'ex': 'DejaVu Sans Display',
+        0:    'DejaVu Sans',
+    }
+
+
+class StixFonts(UnicodeFonts):
+    """
+    A font handling class for the STIX fonts.
+
+    In addition to what UnicodeFonts provides, this class:
+
+    - supports "virtual fonts" which are complete alpha numeric
+      character sets with different font styles at special Unicode
+      code points, such as "Blackboard".
+
+    - handles sized alternative characters for the STIXSizeX fonts.
+    """
+    _fontmap: dict[str | int, str] = {
+        'rm': 'STIXGeneral',
+        'it': 'STIXGeneral:italic',
+        'bf': 'STIXGeneral:weight=bold',
+        'bfit': 'STIXGeneral:italic:bold',
+        'nonunirm': 'STIXNonUnicode',
+        'nonuniit': 'STIXNonUnicode:italic',
+        'nonunibf': 'STIXNonUnicode:weight=bold',
+        0: 'STIXGeneral',
+        1: 'STIXSizeOneSym',
+        2: 'STIXSizeTwoSym',
+        3: 'STIXSizeThreeSym',
+        4: 'STIXSizeFourSym',
+        5: 'STIXSizeFiveSym',
+    }
+    _fallback_font = None
+    _sans = False
+
+    def __init__(self, default_font_prop: FontProperties, load_glyph_flags: LoadFlags):
+        TruetypeFonts.__init__(self, default_font_prop, load_glyph_flags)
+        for key, name in self._fontmap.items():
+            fullpath = findfont(name)
+            self.fontmap[key] = fullpath
+            self.fontmap[name] = fullpath
+
+    def _map_virtual_font(self, fontname: str, font_class: str,
+                          uniindex: int) -> tuple[str, int]:
+        # Handle these "fonts" that are actually embedded in
+        # other fonts.
+        font_mapping = stix_virtual_fonts.get(fontname)
+        if (self._sans and font_mapping is None
+                and fontname not in ('regular', 'default')):
+            font_mapping = stix_virtual_fonts['sf']
+            doing_sans_conversion = True
+        else:
+            doing_sans_conversion = False
+
+        if isinstance(font_mapping, dict):
+            try:
+                mapping = font_mapping[font_class]
+            except KeyError:
+                mapping = font_mapping['rm']
+        elif isinstance(font_mapping, list):
+            mapping = font_mapping
+        else:
+            mapping = None
+
+        if mapping is not None:
+            # Binary search for the source glyph
+            lo = 0
+            hi = len(mapping)
+            while lo < hi:
+                mid = (lo+hi)//2
+                range = mapping[mid]
+                if uniindex < range[0]:
+                    hi = mid
+                elif uniindex <= range[1]:
+                    break
+                else:
+                    lo = mid + 1
+
+            if range[0] <= uniindex <= range[1]:
+                uniindex = uniindex - range[0] + range[3]
+                fontname = range[2]
+            elif not doing_sans_conversion:
+                # This will generate a dummy character
+                uniindex = 0x1
+                fontname = mpl.rcParams['mathtext.default']
+
+        # Fix some incorrect glyphs.
+        if fontname in ('rm', 'it'):
+            uniindex = stix_glyph_fixes.get(uniindex, uniindex)
+
+        # Handle private use area glyphs
+        if fontname in ('it', 'rm', 'bf', 'bfit') and 0xe000 <= uniindex <= 0xf8ff:
+            fontname = 'nonuni' + fontname
+
+        return fontname, uniindex
+
+    @functools.cache
+    def get_sized_alternatives_for_symbol(  # type: ignore[override]
+            self,
+            fontname: str,
+            sym: str) -> list[tuple[str, str]] | list[tuple[int, str]]:
+        fixes = {
+            '\\{': '{', '\\}': '}', '\\[': '[', '\\]': ']',
+            '<': '\N{MATHEMATICAL LEFT ANGLE BRACKET}',
+            '>': '\N{MATHEMATICAL RIGHT ANGLE BRACKET}',
+        }
+        sym = fixes.get(sym, sym)
+        try:
+            uniindex = get_unicode_index(sym)
+        except ValueError:
+            return [(fontname, sym)]
+        alternatives = [(i, chr(uniindex)) for i in range(6)
+                        if self._get_font(i).get_char_index(uniindex) != 0]
+        # The largest size of the radical symbol in STIX has incorrect
+        # metrics that cause it to be disconnected from the stem.
+        if sym == r'\__sqrt__':
+            alternatives = alternatives[:-1]
+        return alternatives
+
+
+class StixSansFonts(StixFonts):
+    """
+    A font handling class for the STIX fonts (that uses sans-serif
+    characters by default).
+    """
+    _sans = True
+
+
+##############################################################################
+# TeX-LIKE BOX MODEL
+
+# The following is based directly on the document 'woven' from the
+# TeX82 source code.  This information is also available in printed
+# form:
+#
+#    Knuth, Donald E.. 1986.  Computers and Typesetting, Volume B:
+#    TeX: The Program.  Addison-Wesley Professional.
+#
+# The most relevant "chapters" are:
+#    Data structures for boxes and their friends
+#    Shipping pages out (ship())
+#    Packaging (hpack() and vpack())
+#    Data structures for math mode
+#    Subroutines for math mode
+#    Typesetting math formulas
+#
+# Many of the docstrings below refer to a numbered "node" in that
+# book, e.g., node123
+#
+# Note that (as TeX) y increases downward, unlike many other parts of
+# matplotlib.
+
+# How much text shrinks when going to the next-smallest level.
+SHRINK_FACTOR   = 0.7
+# The number of different sizes of chars to use, beyond which they will not
+# get any smaller
+NUM_SIZE_LEVELS = 6
+
+
+class FontConstantsBase:
+    """
+    A set of constants that controls how certain things, such as sub-
+    and superscripts are laid out.  These are all metrics that can't
+    be reliably retrieved from the font metrics in the font itself.
+    """
+    # Percentage of x-height of additional horiz. space after sub/superscripts
+    script_space: T.ClassVar[float] = 0.05
+
+    # Percentage of x-height that sub/superscripts drop below the baseline
+    subdrop: T.ClassVar[float] = 0.4
+
+    # Percentage of x-height that superscripts are raised from the baseline
+    sup1: T.ClassVar[float] = 0.7
+
+    # Percentage of x-height that subscripts drop below the baseline
+    sub1: T.ClassVar[float] = 0.3
+
+    # Percentage of x-height that subscripts drop below the baseline when a
+    # superscript is present
+    sub2: T.ClassVar[float] = 0.5
+
+    # Percentage of x-height that sub/superscripts are offset relative to the
+    # nucleus edge for non-slanted nuclei
+    delta: T.ClassVar[float] = 0.025
+
+    # Additional percentage of last character height above 2/3 of the
+    # x-height that superscripts are offset relative to the subscript
+    # for slanted nuclei
+    delta_slanted: T.ClassVar[float] = 0.2
+
+    # Percentage of x-height that superscripts and subscripts are offset for
+    # integrals
+    delta_integral: T.ClassVar[float] = 0.1
+
+
+class ComputerModernFontConstants(FontConstantsBase):
+    script_space = 0.075
+    subdrop = 0.2
+    sup1 = 0.45
+    sub1 = 0.2
+    sub2 = 0.3
+    delta = 0.075
+    delta_slanted = 0.3
+    delta_integral = 0.3
+
+
+class STIXFontConstants(FontConstantsBase):
+    script_space = 0.1
+    sup1 = 0.8
+    sub2 = 0.6
+    delta = 0.05
+    delta_slanted = 0.3
+    delta_integral = 0.3
+
+
+class STIXSansFontConstants(FontConstantsBase):
+    script_space = 0.05
+    sup1 = 0.8
+    delta_slanted = 0.6
+    delta_integral = 0.3
+
+
+class DejaVuSerifFontConstants(FontConstantsBase):
+    pass
+
+
+class DejaVuSansFontConstants(FontConstantsBase):
+    pass
+
+
+# Maps font family names to the FontConstantBase subclass to use
+_font_constant_mapping = {
+    'DejaVu Sans': DejaVuSansFontConstants,
+    'DejaVu Sans Mono': DejaVuSansFontConstants,
+    'DejaVu Serif': DejaVuSerifFontConstants,
+    'cmb10': ComputerModernFontConstants,
+    'cmex10': ComputerModernFontConstants,
+    'cmmi10': ComputerModernFontConstants,
+    'cmr10': ComputerModernFontConstants,
+    'cmss10': ComputerModernFontConstants,
+    'cmsy10': ComputerModernFontConstants,
+    'cmtt10': ComputerModernFontConstants,
+    'STIXGeneral': STIXFontConstants,
+    'STIXNonUnicode': STIXFontConstants,
+    'STIXSizeFiveSym': STIXFontConstants,
+    'STIXSizeFourSym': STIXFontConstants,
+    'STIXSizeThreeSym': STIXFontConstants,
+    'STIXSizeTwoSym': STIXFontConstants,
+    'STIXSizeOneSym': STIXFontConstants,
+    # Map the fonts we used to ship, just for good measure
+    'Bitstream Vera Sans': DejaVuSansFontConstants,
+    'Bitstream Vera': DejaVuSansFontConstants,
+    }
+
+
+def _get_font_constant_set(state: ParserState) -> type[FontConstantsBase]:
+    constants = _font_constant_mapping.get(
+        state.fontset._get_font(state.font).family_name, FontConstantsBase)
+    # STIX sans isn't really its own fonts, just different code points
+    # in the STIX fonts, so we have to detect this one separately.
+    if (constants is STIXFontConstants and
+            isinstance(state.fontset, StixSansFonts)):
+        return STIXSansFontConstants
+    return constants
+
+
+class Node:
+    """A node in the TeX box model."""
+
+    def __init__(self) -> None:
+        self.size = 0
+
+    def __repr__(self) -> str:
+        return type(self).__name__
+
+    def get_kerning(self, next: Node | None) -> float:
+        return 0.0
+
+    def shrink(self) -> None:
+        """
+        Shrinks one level smaller.  There are only three levels of
+        sizes, after which things will no longer get smaller.
+        """
+        self.size += 1
+
+    def render(self, output: Output, x: float, y: float) -> None:
+        """Render this node."""
+
+
+class Box(Node):
+    """A node with a physical location."""
+
+    def __init__(self, width: float, height: float, depth: float) -> None:
+        super().__init__()
+        self.width  = width
+        self.height = height
+        self.depth  = depth
+
+    def shrink(self) -> None:
+        super().shrink()
+        if self.size < NUM_SIZE_LEVELS:
+            self.width  *= SHRINK_FACTOR
+            self.height *= SHRINK_FACTOR
+            self.depth  *= SHRINK_FACTOR
+
+    def render(self, output: Output,  # type: ignore[override]
+               x1: float, y1: float, x2: float, y2: float) -> None:
+        pass
+
+
+class Vbox(Box):
+    """A box with only height (zero width)."""
+
+    def __init__(self, height: float, depth: float):
+        super().__init__(0., height, depth)
+
+
+class Hbox(Box):
+    """A box with only width (zero height and depth)."""
+
+    def __init__(self, width: float):
+        super().__init__(width, 0., 0.)
+
+
+class Char(Node):
+    """
+    A single character.
+
+    Unlike TeX, the font information and metrics are stored with each `Char`
+    to make it easier to lookup the font metrics when needed.  Note that TeX
+    boxes have a width, height, and depth, unlike Type1 and TrueType which use
+    a full bounding box and an advance in the x-direction.  The metrics must
+    be converted to the TeX model, and the advance (if different from width)
+    must be converted into a `Kern` node when the `Char` is added to its parent
+    `Hlist`.
+    """
+
+    def __init__(self, c: str, state: ParserState):
+        super().__init__()
+        self.c = c
+        self.fontset = state.fontset
+        self.font = state.font
+        self.font_class = state.font_class
+        self.fontsize = state.fontsize
+        self.dpi = state.dpi
+        # The real width, height and depth will be set during the
+        # pack phase, after we know the real fontsize
+        self._update_metrics()
+
+    def __repr__(self) -> str:
+        return '`%s`' % self.c
+
+    def _update_metrics(self) -> None:
+        metrics = self._metrics = self.fontset.get_metrics(
+            self.font, self.font_class, self.c, self.fontsize, self.dpi)
+        if self.c == ' ':
+            self.width = metrics.advance
+        else:
+            self.width = metrics.width
+        self.height = metrics.iceberg
+        self.depth = -(metrics.iceberg - metrics.height)
+
+    def is_slanted(self) -> bool:
+        return self._metrics.slanted
+
+    def get_kerning(self, next: Node | None) -> float:
+        """
+        Return the amount of kerning between this and the given character.
+
+        This method is called when characters are strung together into `Hlist`
+        to create `Kern` nodes.
+        """
+        advance = self._metrics.advance - self.width
+        kern = 0.
+        if isinstance(next, Char):
+            kern = self.fontset.get_kern(
+                self.font, self.font_class, self.c, self.fontsize,
+                next.font, next.font_class, next.c, next.fontsize,
+                self.dpi)
+        return advance + kern
+
+    def render(self, output: Output, x: float, y: float) -> None:
+        self.fontset.render_glyph(
+            output, x, y,
+            self.font, self.font_class, self.c, self.fontsize, self.dpi)
+
+    def shrink(self) -> None:
+        super().shrink()
+        if self.size < NUM_SIZE_LEVELS:
+            self.fontsize *= SHRINK_FACTOR
+            self.width    *= SHRINK_FACTOR
+            self.height   *= SHRINK_FACTOR
+            self.depth    *= SHRINK_FACTOR
+
+
+class Accent(Char):
+    """
+    The font metrics need to be dealt with differently for accents,
+    since they are already offset correctly from the baseline in
+    TrueType fonts.
+    """
+    def _update_metrics(self) -> None:
+        metrics = self._metrics = self.fontset.get_metrics(
+            self.font, self.font_class, self.c, self.fontsize, self.dpi)
+        self.width = metrics.xmax - metrics.xmin
+        self.height = metrics.ymax - metrics.ymin
+        self.depth = 0
+
+    def shrink(self) -> None:
+        super().shrink()
+        self._update_metrics()
+
+    def render(self, output: Output, x: float, y: float) -> None:
+        self.fontset.render_glyph(
+            output, x - self._metrics.xmin, y + self._metrics.ymin,
+            self.font, self.font_class, self.c, self.fontsize, self.dpi)
+
+
+class List(Box):
+    """A list of nodes (either horizontal or vertical)."""
+
+    def __init__(self, elements: T.Sequence[Node]):
+        super().__init__(0., 0., 0.)
+        self.shift_amount = 0.   # An arbitrary offset
+        self.children = [*elements]  # The child nodes of this list
+        # The following parameters are set in the vpack and hpack functions
+        self.glue_set     = 0.   # The glue setting of this list
+        self.glue_sign    = 0    # 0: normal, -1: shrinking, 1: stretching
+        self.glue_order   = 0    # The order of infinity (0 - 3) for the glue
+
+    def __repr__(self):
+        return "{}<w={:.02f} h={:.02f} d={:.02f} s={:.02f}>[{}]".format(
+            super().__repr__(),
+            self.width, self.height,
+            self.depth, self.shift_amount,
+            "\n" + textwrap.indent(
+                "\n".join(map("{!r},".format, self.children)),
+                "  ") + "\n"
+            if self.children else ""
+        )
+
+    def _set_glue(self, x: float, sign: int, totals: list[float],
+                  error_type: str) -> None:
+        self.glue_order = o = next(
+            # Highest order of glue used by the members of this list.
+            (i for i in range(len(totals))[::-1] if totals[i] != 0), 0)
+        self.glue_sign = sign
+        if totals[o] != 0.:
+            self.glue_set = x / totals[o]
+        else:
+            self.glue_sign = 0
+            self.glue_ratio = 0.
+        if o == 0:
+            if len(self.children):
+                _log.warning("%s %s: %r",
+                             error_type, type(self).__name__, self)
+
+    def shrink(self) -> None:
+        for child in self.children:
+            child.shrink()
+        super().shrink()
+        if self.size < NUM_SIZE_LEVELS:
+            self.shift_amount *= SHRINK_FACTOR
+            self.glue_set     *= SHRINK_FACTOR
+
+
+class Hlist(List):
+    """A horizontal list of boxes."""
+
+    def __init__(self, elements: T.Sequence[Node], w: float = 0.0,
+                 m: T.Literal['additional', 'exactly'] = 'additional',
+                 do_kern: bool = True):
+        super().__init__(elements)
+        if do_kern:
+            self.kern()
+        self.hpack(w=w, m=m)
+
+    def kern(self) -> None:
+        """
+        Insert `Kern` nodes between `Char` nodes to set kerning.
+
+        The `Char` nodes themselves determine the amount of kerning they need
+        (in `~Char.get_kerning`), and this function just creates the correct
+        linked list.
+        """
+        new_children = []
+        num_children = len(self.children)
+        if num_children:
+            for i in range(num_children):
+                elem = self.children[i]
+                if i < num_children - 1:
+                    next = self.children[i + 1]
+                else:
+                    next = None
+
+                new_children.append(elem)
+                kerning_distance = elem.get_kerning(next)
+                if kerning_distance != 0.:
+                    kern = Kern(kerning_distance)
+                    new_children.append(kern)
+            self.children = new_children
+
+    def hpack(self, w: float = 0.0,
+              m: T.Literal['additional', 'exactly'] = 'additional') -> None:
+        r"""
+        Compute the dimensions of the resulting boxes, and adjust the glue if
+        one of those dimensions is pre-specified.  The computed sizes normally
+        enclose all of the material inside the new box; but some items may
+        stick out if negative glue is used, if the box is overfull, or if a
+        ``\vbox`` includes other boxes that have been shifted left.
+
+        Parameters
+        ----------
+        w : float, default: 0
+            A width.
+        m : {'exactly', 'additional'}, default: 'additional'
+            Whether to produce a box whose width is 'exactly' *w*; or a box
+            with the natural width of the contents, plus *w* ('additional').
+
+        Notes
+        -----
+        The defaults produce a box with the natural width of the contents.
+        """
+        # I don't know why these get reset in TeX.  Shift_amount is pretty
+        # much useless if we do.
+        # self.shift_amount = 0.
+        h = 0.
+        d = 0.
+        x = 0.
+        total_stretch = [0.] * 4
+        total_shrink = [0.] * 4
+        for p in self.children:
+            if isinstance(p, Char):
+                x += p.width
+                h = max(h, p.height)
+                d = max(d, p.depth)
+            elif isinstance(p, Box):
+                x += p.width
+                if not np.isinf(p.height) and not np.isinf(p.depth):
+                    s = getattr(p, 'shift_amount', 0.)
+                    h = max(h, p.height - s)
+                    d = max(d, p.depth + s)
+            elif isinstance(p, Glue):
+                glue_spec = p.glue_spec
+                x += glue_spec.width
+                total_stretch[glue_spec.stretch_order] += glue_spec.stretch
+                total_shrink[glue_spec.shrink_order] += glue_spec.shrink
+            elif isinstance(p, Kern):
+                x += p.width
+        self.height = h
+        self.depth = d
+
+        if m == 'additional':
+            w += x
+        self.width = w
+        x = w - x
+
+        if x == 0.:
+            self.glue_sign = 0
+            self.glue_order = 0
+            self.glue_ratio = 0.
+            return
+        if x > 0.:
+            self._set_glue(x, 1, total_stretch, "Overful")
+        else:
+            self._set_glue(x, -1, total_shrink, "Underful")
+
+
+class Vlist(List):
+    """A vertical list of boxes."""
+
+    def __init__(self, elements: T.Sequence[Node], h: float = 0.0,
+                 m: T.Literal['additional', 'exactly'] = 'additional'):
+        super().__init__(elements)
+        self.vpack(h=h, m=m)
+
+    def vpack(self, h: float = 0.0,
+              m: T.Literal['additional', 'exactly'] = 'additional',
+              l: float = np.inf) -> None:
+        """
+        Compute the dimensions of the resulting boxes, and to adjust the glue
+        if one of those dimensions is pre-specified.
+
+        Parameters
+        ----------
+        h : float, default: 0
+            A height.
+        m : {'exactly', 'additional'}, default: 'additional'
+            Whether to produce a box whose height is 'exactly' *h*; or a box
+            with the natural height of the contents, plus *h* ('additional').
+        l : float, default: np.inf
+            The maximum height.
+
+        Notes
+        -----
+        The defaults produce a box with the natural height of the contents.
+        """
+        # I don't know why these get reset in TeX.  Shift_amount is pretty
+        # much useless if we do.
+        # self.shift_amount = 0.
+        w = 0.
+        d = 0.
+        x = 0.
+        total_stretch = [0.] * 4
+        total_shrink = [0.] * 4
+        for p in self.children:
+            if isinstance(p, Box):
+                x += d + p.height
+                d = p.depth
+                if not np.isinf(p.width):
+                    s = getattr(p, 'shift_amount', 0.)
+                    w = max(w, p.width + s)
+            elif isinstance(p, Glue):
+                x += d
+                d = 0.
+                glue_spec = p.glue_spec
+                x += glue_spec.width
+                total_stretch[glue_spec.stretch_order] += glue_spec.stretch
+                total_shrink[glue_spec.shrink_order] += glue_spec.shrink
+            elif isinstance(p, Kern):
+                x += d + p.width
+                d = 0.
+            elif isinstance(p, Char):
+                raise RuntimeError(
+                    "Internal mathtext error: Char node found in Vlist")
+
+        self.width = w
+        if d > l:
+            x += d - l
+            self.depth = l
+        else:
+            self.depth = d
+
+        if m == 'additional':
+            h += x
+        self.height = h
+        x = h - x
+
+        if x == 0:
+            self.glue_sign = 0
+            self.glue_order = 0
+            self.glue_ratio = 0.
+            return
+
+        if x > 0.:
+            self._set_glue(x, 1, total_stretch, "Overful")
+        else:
+            self._set_glue(x, -1, total_shrink, "Underful")
+
+
+class Rule(Box):
+    """
+    A solid black rectangle.
+
+    It has *width*, *depth*, and *height* fields just as in an `Hlist`.
+    However, if any of these dimensions is inf, the actual value will be
+    determined by running the rule up to the boundary of the innermost
+    enclosing box.  This is called a "running dimension".  The width is never
+    running in an `Hlist`; the height and depth are never running in a `Vlist`.
+    """
+
+    def __init__(self, width: float, height: float, depth: float, state: ParserState):
+        super().__init__(width, height, depth)
+        self.fontset = state.fontset
+
+    def render(self, output: Output,  # type: ignore[override]
+               x: float, y: float, w: float, h: float) -> None:
+        self.fontset.render_rect_filled(output, x, y, x + w, y + h)
+
+
+class Hrule(Rule):
+    """Convenience class to create a horizontal rule."""
+
+    def __init__(self, state: ParserState, thickness: float | None = None):
+        if thickness is None:
+            thickness = state.get_current_underline_thickness()
+        height = depth = thickness * 0.5
+        super().__init__(np.inf, height, depth, state)
+
+
+class Vrule(Rule):
+    """Convenience class to create a vertical rule."""
+
+    def __init__(self, state: ParserState):
+        thickness = state.get_current_underline_thickness()
+        super().__init__(thickness, np.inf, np.inf, state)
+
+
+class _GlueSpec(NamedTuple):
+    width: float
+    stretch: float
+    stretch_order: int
+    shrink: float
+    shrink_order: int
+
+
+_GlueSpec._named = {  # type: ignore[attr-defined]
+    'fil':         _GlueSpec(0., 1., 1, 0., 0),
+    'fill':        _GlueSpec(0., 1., 2, 0., 0),
+    'filll':       _GlueSpec(0., 1., 3, 0., 0),
+    'neg_fil':     _GlueSpec(0., 0., 0, 1., 1),
+    'neg_fill':    _GlueSpec(0., 0., 0, 1., 2),
+    'neg_filll':   _GlueSpec(0., 0., 0, 1., 3),
+    'empty':       _GlueSpec(0., 0., 0, 0., 0),
+    'ss':          _GlueSpec(0., 1., 1, -1., 1),
+}
+
+
+class Glue(Node):
+    """
+    Most of the information in this object is stored in the underlying
+    ``_GlueSpec`` class, which is shared between multiple glue objects.
+    (This is a memory optimization which probably doesn't matter anymore, but
+    it's easier to stick to what TeX does.)
+    """
+
+    def __init__(self,
+                 glue_type: _GlueSpec | T.Literal["fil", "fill", "filll",
+                                                  "neg_fil", "neg_fill", "neg_filll",
+                                                  "empty", "ss"]):
+        super().__init__()
+        if isinstance(glue_type, str):
+            glue_spec = _GlueSpec._named[glue_type]  # type: ignore[attr-defined]
+        elif isinstance(glue_type, _GlueSpec):
+            glue_spec = glue_type
+        else:
+            raise ValueError("glue_type must be a glue spec name or instance")
+        self.glue_spec = glue_spec
+
+    def shrink(self) -> None:
+        super().shrink()
+        if self.size < NUM_SIZE_LEVELS:
+            g = self.glue_spec
+            self.glue_spec = g._replace(width=g.width * SHRINK_FACTOR)
+
+
+class HCentered(Hlist):
+    """
+    A convenience class to create an `Hlist` whose contents are
+    centered within its enclosing box.
+    """
+
+    def __init__(self, elements: list[Node]):
+        super().__init__([Glue('ss'), *elements, Glue('ss')], do_kern=False)
+
+
+class VCentered(Vlist):
+    """
+    A convenience class to create a `Vlist` whose contents are
+    centered within its enclosing box.
+    """
+
+    def __init__(self, elements: list[Node]):
+        super().__init__([Glue('ss'), *elements, Glue('ss')])
+
+
+class Kern(Node):
+    """
+    A `Kern` node has a width field to specify a (normally
+    negative) amount of spacing. This spacing correction appears in
+    horizontal lists between letters like A and V when the font
+    designer said that it looks better to move them closer together or
+    further apart. A kern node can also appear in a vertical list,
+    when its *width* denotes additional spacing in the vertical
+    direction.
+    """
+
+    height = 0
+    depth = 0
+
+    def __init__(self, width: float):
+        super().__init__()
+        self.width = width
+
+    def __repr__(self) -> str:
+        return "k%.02f" % self.width
+
+    def shrink(self) -> None:
+        super().shrink()
+        if self.size < NUM_SIZE_LEVELS:
+            self.width *= SHRINK_FACTOR
+
+
+class AutoHeightChar(Hlist):
+    """
+    A character as close to the given height and depth as possible.
+
+    When using a font with multiple height versions of some characters (such as
+    the BaKoMa fonts), the correct glyph will be selected, otherwise this will
+    always just return a scaled version of the glyph.
+    """
+
+    def __init__(self, c: str, height: float, depth: float, state: ParserState,
+                 always: bool = False, factor: float | None = None):
+        alternatives = state.fontset.get_sized_alternatives_for_symbol(
+            state.font, c)
+
+        xHeight = state.fontset.get_xheight(
+            state.font, state.fontsize, state.dpi)
+
+        state = state.copy()
+        target_total = height + depth
+        for fontname, sym in alternatives:
+            state.font = fontname
+            char = Char(sym, state)
+            # Ensure that size 0 is chosen when the text is regular sized but
+            # with descender glyphs by subtracting 0.2 * xHeight
+            if char.height + char.depth >= target_total - 0.2 * xHeight:
+                break
+
+        shift = 0.0
+        if state.font != 0 or len(alternatives) == 1:
+            if factor is None:
+                factor = target_total / (char.height + char.depth)
+            state.fontsize *= factor
+            char = Char(sym, state)
+
+            shift = (depth - char.depth)
+
+        super().__init__([char])
+        self.shift_amount = shift
+
+
+class AutoWidthChar(Hlist):
+    """
+    A character as close to the given width as possible.
+
+    When using a font with multiple width versions of some characters (such as
+    the BaKoMa fonts), the correct glyph will be selected, otherwise this will
+    always just return a scaled version of the glyph.
+    """
+
+    def __init__(self, c: str, width: float, state: ParserState, always: bool = False,
+                 char_class: type[Char] = Char):
+        alternatives = state.fontset.get_sized_alternatives_for_symbol(
+            state.font, c)
+
+        state = state.copy()
+        for fontname, sym in alternatives:
+            state.font = fontname
+            char = char_class(sym, state)
+            if char.width >= width:
+                break
+
+        factor = width / char.width
+        state.fontsize *= factor
+        char = char_class(sym, state)
+
+        super().__init__([char])
+        self.width = char.width
+
+
+def ship(box: Box, xy: tuple[float, float] = (0, 0)) -> Output:
+    """
+    Ship out *box* at offset *xy*, converting it to an `Output`.
+
+    Since boxes can be inside of boxes inside of boxes, the main work of `ship`
+    is done by two mutually recursive routines, `hlist_out` and `vlist_out`,
+    which traverse the `Hlist` nodes and `Vlist` nodes inside of horizontal
+    and vertical boxes.  The global variables used in TeX to store state as it
+    processes have become local variables here.
+    """
+    ox, oy = xy
+    cur_v = 0.
+    cur_h = 0.
+    off_h = ox
+    off_v = oy + box.height
+    output = Output(box)
+
+    def clamp(value: float) -> float:
+        return -1e9 if value < -1e9 else +1e9 if value > +1e9 else value
+
+    def hlist_out(box: Hlist) -> None:
+        nonlocal cur_v, cur_h
+
+        cur_g = 0
+        cur_glue = 0.
+        glue_order = box.glue_order
+        glue_sign = box.glue_sign
+        base_line = cur_v
+        left_edge = cur_h
+
+        for p in box.children:
+            if isinstance(p, Char):
+                p.render(output, cur_h + off_h, cur_v + off_v)
+                cur_h += p.width
+            elif isinstance(p, Kern):
+                cur_h += p.width
+            elif isinstance(p, List):
+                # node623
+                if len(p.children) == 0:
+                    cur_h += p.width
+                else:
+                    edge = cur_h
+                    cur_v = base_line + p.shift_amount
+                    if isinstance(p, Hlist):
+                        hlist_out(p)
+                    elif isinstance(p, Vlist):
+                        # p.vpack(box.height + box.depth, 'exactly')
+                        vlist_out(p)
+                    else:
+                        assert False, "unreachable code"
+                    cur_h = edge + p.width
+                    cur_v = base_line
+            elif isinstance(p, Box):
+                # node624
+                rule_height = p.height
+                rule_depth = p.depth
+                rule_width = p.width
+                if np.isinf(rule_height):
+                    rule_height = box.height
+                if np.isinf(rule_depth):
+                    rule_depth = box.depth
+                if rule_height > 0 and rule_width > 0:
+                    cur_v = base_line + rule_depth
+                    p.render(output,
+                             cur_h + off_h, cur_v + off_v,
+                             rule_width, rule_height)
+                    cur_v = base_line
+                cur_h += rule_width
+            elif isinstance(p, Glue):
+                # node625
+                glue_spec = p.glue_spec
+                rule_width = glue_spec.width - cur_g
+                if glue_sign != 0:  # normal
+                    if glue_sign == 1:  # stretching
+                        if glue_spec.stretch_order == glue_order:
+                            cur_glue += glue_spec.stretch
+                            cur_g = round(clamp(box.glue_set * cur_glue))
+                    elif glue_spec.shrink_order == glue_order:
+                        cur_glue += glue_spec.shrink
+                        cur_g = round(clamp(box.glue_set * cur_glue))
+                rule_width += cur_g
+                cur_h += rule_width
+
+    def vlist_out(box: Vlist) -> None:
+        nonlocal cur_v, cur_h
+
+        cur_g = 0
+        cur_glue = 0.
+        glue_order = box.glue_order
+        glue_sign = box.glue_sign
+        left_edge = cur_h
+        cur_v -= box.height
+        top_edge = cur_v
+
+        for p in box.children:
+            if isinstance(p, Kern):
+                cur_v += p.width
+            elif isinstance(p, List):
+                if len(p.children) == 0:
+                    cur_v += p.height + p.depth
+                else:
+                    cur_v += p.height
+                    cur_h = left_edge + p.shift_amount
+                    save_v = cur_v
+                    p.width = box.width
+                    if isinstance(p, Hlist):
+                        hlist_out(p)
+                    elif isinstance(p, Vlist):
+                        vlist_out(p)
+                    else:
+                        assert False, "unreachable code"
+                    cur_v = save_v + p.depth
+                    cur_h = left_edge
+            elif isinstance(p, Box):
+                rule_height = p.height
+                rule_depth = p.depth
+                rule_width = p.width
+                if np.isinf(rule_width):
+                    rule_width = box.width
+                rule_height += rule_depth
+                if rule_height > 0 and rule_depth > 0:
+                    cur_v += rule_height
+                    p.render(output,
+                             cur_h + off_h, cur_v + off_v,
+                             rule_width, rule_height)
+            elif isinstance(p, Glue):
+                glue_spec = p.glue_spec
+                rule_height = glue_spec.width - cur_g
+                if glue_sign != 0:  # normal
+                    if glue_sign == 1:  # stretching
+                        if glue_spec.stretch_order == glue_order:
+                            cur_glue += glue_spec.stretch
+                            cur_g = round(clamp(box.glue_set * cur_glue))
+                    elif glue_spec.shrink_order == glue_order:  # shrinking
+                        cur_glue += glue_spec.shrink
+                        cur_g = round(clamp(box.glue_set * cur_glue))
+                rule_height += cur_g
+                cur_v += rule_height
+            elif isinstance(p, Char):
+                raise RuntimeError(
+                    "Internal mathtext error: Char node found in vlist")
+
+    assert isinstance(box, Hlist)
+    hlist_out(box)
+    return output
+
+
+##############################################################################
+# PARSER
+
+
+def Error(msg: str) -> ParserElement:
+    """Helper class to raise parser errors."""
+    def raise_error(s: str, loc: int, toks: ParseResults) -> T.Any:
+        raise ParseFatalException(s, loc, msg)
+
+    return Empty().set_parse_action(raise_error)
+
+
+class ParserState:
+    """
+    Parser state.
+
+    States are pushed and popped from a stack as necessary, and the "current"
+    state is always at the top of the stack.
+
+    Upon entering and leaving a group { } or math/non-math, the stack is pushed
+    and popped accordingly.
+    """
+
+    def __init__(self, fontset: Fonts, font: str, font_class: str, fontsize: float,
+                 dpi: float):
+        self.fontset = fontset
+        self._font = font
+        self.font_class = font_class
+        self.fontsize = fontsize
+        self.dpi = dpi
+
+    def copy(self) -> ParserState:
+        return copy.copy(self)
+
+    @property
+    def font(self) -> str:
+        return self._font
+
+    @font.setter
+    def font(self, name: str) -> None:
+        if name in ('rm', 'it', 'bf', 'bfit'):
+            self.font_class = name
+        self._font = name
+
+    def get_current_underline_thickness(self) -> float:
+        """Return the underline thickness for this state."""
+        return self.fontset.get_underline_thickness(
+            self.font, self.fontsize, self.dpi)
+
+
+def cmd(expr: str, args: ParserElement) -> ParserElement:
+    r"""
+    Helper to define TeX commands.
+
+    ``cmd("\cmd", args)`` is equivalent to
+    ``"\cmd" - (args | Error("Expected \cmd{arg}{...}"))`` where the names in
+    the error message are taken from element names in *args*.  If *expr*
+    already includes arguments (e.g. "\cmd{arg}{...}"), then they are stripped
+    when constructing the parse element, but kept (and *expr* is used as is) in
+    the error message.
+    """
+
+    def names(elt: ParserElement) -> T.Generator[str, None, None]:
+        if isinstance(elt, ParseExpression):
+            for expr in elt.exprs:
+                yield from names(expr)
+        elif elt.resultsName:
+            yield elt.resultsName
+
+    csname = expr.split("{", 1)[0]
+    err = (csname + "".join("{%s}" % name for name in names(args))
+           if expr == csname else expr)
+    return csname - (args | Error(f"Expected {err}"))
+
+
+class Parser:
+    """
+    A pyparsing-based parser for strings containing math expressions.
+
+    Raw text may also appear outside of pairs of ``$``.
+
+    The grammar is based directly on that in TeX, though it cuts a few corners.
+    """
+
+    class _MathStyle(enum.Enum):
+        DISPLAYSTYLE = 0
+        TEXTSTYLE = 1
+        SCRIPTSTYLE = 2
+        SCRIPTSCRIPTSTYLE = 3
+
+    _binary_operators = set(
+      '+ * - \N{MINUS SIGN}'
+      r'''
+      \pm             \sqcap                   \rhd
+      \mp             \sqcup                   \unlhd
+      \times          \vee                     \unrhd
+      \div            \wedge                   \oplus
+      \ast            \setminus                \ominus
+      \star           \wr                      \otimes
+      \circ           \diamond                 \oslash
+      \bullet         \bigtriangleup           \odot
+      \cdot           \bigtriangledown         \bigcirc
+      \cap            \triangleleft            \dagger
+      \cup            \triangleright           \ddagger
+      \uplus          \lhd                     \amalg
+      \dotplus        \dotminus                \Cap
+      \Cup            \barwedge                \boxdot
+      \boxminus       \boxplus                 \boxtimes
+      \curlyvee       \curlywedge              \divideontimes
+      \doublebarwedge \leftthreetimes          \rightthreetimes
+      \slash          \veebar                  \barvee
+      \cupdot         \intercal                \amalg
+      \circledcirc    \circleddash             \circledast
+      \boxbar         \obar                    \merge
+      \minuscolon     \dotsminusdots
+      '''.split())
+
+    _relation_symbols = set(r'''
+      = < > :
+      \leq          \geq          \equiv       \models
+      \prec         \succ         \sim         \perp
+      \preceq       \succeq       \simeq       \mid
+      \ll           \gg           \asymp       \parallel
+      \subset       \supset       \approx      \bowtie
+      \subseteq     \supseteq     \cong        \Join
+      \sqsubset     \sqsupset     \neq         \smile
+      \sqsubseteq   \sqsupseteq   \doteq       \frown
+      \in           \ni           \propto      \vdash
+      \dashv        \dots         \doteqdot    \leqq
+      \geqq         \lneqq        \gneqq       \lessgtr
+      \leqslant     \geqslant     \eqgtr       \eqless
+      \eqslantless  \eqslantgtr   \lesseqgtr   \backsim
+      \backsimeq    \lesssim      \gtrsim      \precsim
+      \precnsim     \gnsim        \lnsim       \succsim
+      \succnsim     \nsim         \lesseqqgtr  \gtreqqless
+      \gtreqless    \subseteqq    \supseteqq   \subsetneqq
+      \supsetneqq   \lessapprox   \approxeq    \gtrapprox
+      \precapprox   \succapprox   \precnapprox \succnapprox
+      \npreccurlyeq \nsucccurlyeq \nsqsubseteq \nsqsupseteq
+      \sqsubsetneq  \sqsupsetneq  \nlesssim    \ngtrsim
+      \nlessgtr     \ngtrless     \lnapprox    \gnapprox
+      \napprox      \approxeq     \approxident \lll
+      \ggg          \nparallel    \Vdash       \Vvdash
+      \nVdash       \nvdash       \vDash       \nvDash
+      \nVDash       \oequal       \simneqq     \triangle
+      \triangleq         \triangleeq         \triangleleft
+      \triangleright     \ntriangleleft      \ntriangleright
+      \trianglelefteq    \ntrianglelefteq    \trianglerighteq
+      \ntrianglerighteq  \blacktriangleleft  \blacktriangleright
+      \equalparallel     \measuredrightangle \varlrtriangle
+      \Doteq        \Bumpeq       \Subset      \Supset
+      \backepsilon  \because      \therefore   \bot
+      \top          \bumpeq       \circeq      \coloneq
+      \curlyeqprec  \curlyeqsucc  \eqcirc      \eqcolon
+      \eqsim        \fallingdotseq \gtrdot     \gtrless
+      \ltimes       \rtimes       \lessdot     \ne
+      \ncong        \nequiv       \ngeq        \ngtr
+      \nleq         \nless        \nmid        \notin
+      \nprec        \nsubset      \nsubseteq   \nsucc
+      \nsupset      \nsupseteq    \pitchfork   \preccurlyeq
+      \risingdotseq \subsetneq    \succcurlyeq \supsetneq
+      \varpropto    \vartriangleleft \scurel
+      \vartriangleright \rightangle \equal     \backcong
+      \eqdef        \wedgeq       \questeq     \between
+      \veeeq        \disin        \varisins    \isins
+      \isindot      \varisinobar  \isinobar    \isinvb
+      \isinE        \nisd         \varnis      \nis
+      \varniobar    \niobar       \bagmember   \ratio
+      \Equiv        \stareq       \measeq      \arceq
+      \rightassert  \rightModels  \smallin     \smallowns
+      \notsmallowns \nsimeq'''.split())
+
+    _arrow_symbols = set(r"""
+     \leftarrow \longleftarrow \uparrow \Leftarrow \Longleftarrow
+     \Uparrow \rightarrow \longrightarrow \downarrow \Rightarrow
+     \Longrightarrow \Downarrow \leftrightarrow \updownarrow
+     \longleftrightarrow \updownarrow \Leftrightarrow
+     \Longleftrightarrow \Updownarrow \mapsto \longmapsto \nearrow
+     \hookleftarrow \hookrightarrow \searrow \leftharpoonup
+     \rightharpoonup \swarrow \leftharpoondown \rightharpoondown
+     \nwarrow \rightleftharpoons \leadsto \dashrightarrow
+     \dashleftarrow \leftleftarrows \leftrightarrows \Lleftarrow
+     \Rrightarrow \twoheadleftarrow \leftarrowtail \looparrowleft
+     \leftrightharpoons \curvearrowleft \circlearrowleft \Lsh
+     \upuparrows \upharpoonleft \downharpoonleft \multimap
+     \leftrightsquigarrow \rightrightarrows \rightleftarrows
+     \rightrightarrows \rightleftarrows \twoheadrightarrow
+     \rightarrowtail \looparrowright \rightleftharpoons
+     \curvearrowright \circlearrowright \Rsh \downdownarrows
+     \upharpoonright \downharpoonright \rightsquigarrow \nleftarrow
+     \nrightarrow \nLeftarrow \nRightarrow \nleftrightarrow
+     \nLeftrightarrow \to \Swarrow \Searrow \Nwarrow \Nearrow
+     \leftsquigarrow \overleftarrow \overleftrightarrow \cwopencirclearrow
+     \downzigzagarrow \cupleftarrow \rightzigzagarrow \twoheaddownarrow
+     \updownarrowbar \twoheaduparrow \rightarrowbar \updownarrows
+     \barleftarrow \mapsfrom \mapsdown \mapsup \Ldsh \Rdsh
+     """.split())
+
+    _spaced_symbols = _binary_operators | _relation_symbols | _arrow_symbols
+
+    _punctuation_symbols = set(r', ; . ! \ldotp \cdotp'.split())
+
+    _overunder_symbols = set(r'''
+       \sum \prod \coprod \bigcap \bigcup \bigsqcup \bigvee
+       \bigwedge \bigodot \bigotimes \bigoplus \biguplus
+       '''.split())
+
+    _overunder_functions = set("lim liminf limsup sup max min".split())
+
+    _dropsub_symbols = set(r'\int \oint \iint \oiint \iiint \oiiint \iiiint'.split())
+
+    _fontnames = set("rm cal it tt sf bf bfit "
+                     "default bb frak scr regular".split())
+
+    _function_names = set("""
+      arccos csc ker min arcsin deg lg Pr arctan det lim sec arg dim
+      liminf sin cos exp limsup sinh cosh gcd ln sup cot hom log tan
+      coth inf max tanh""".split())
+
+    _ambi_delims = set(r"""
+      | \| / \backslash \uparrow \downarrow \updownarrow \Uparrow
+      \Downarrow \Updownarrow . \vert \Vert""".split())
+    _left_delims = set(r"""
+      ( [ \{ < \lfloor \langle \lceil \lbrace \leftbrace \lbrack \leftparen \lgroup
+      """.split())
+    _right_delims = set(r"""
+      ) ] \} > \rfloor \rangle \rceil \rbrace \rightbrace \rbrack \rightparen \rgroup
+      """.split())
+    _delims = _left_delims | _right_delims | _ambi_delims
+
+    _small_greek = set([unicodedata.name(chr(i)).split()[-1].lower() for i in
+                       range(ord('\N{GREEK SMALL LETTER ALPHA}'),
+                             ord('\N{GREEK SMALL LETTER OMEGA}') + 1)])
+    _latin_alphabets = set(string.ascii_letters)
+
+    def __init__(self) -> None:
+        p = types.SimpleNamespace()
+
+        def set_names_and_parse_actions() -> None:
+            for key, val in vars(p).items():
+                if not key.startswith('_'):
+                    # Set names on (almost) everything -- very useful for debugging
+                    # token, placeable, and auto_delim are forward references which
+                    # are left without names to ensure useful error messages
+                    if key not in ("token", "placeable", "auto_delim"):
+                        val.set_name(key)
+                    # Set actions
+                    if hasattr(self, key):
+                        val.set_parse_action(getattr(self, key))
+
+        # Root definitions.
+
+        # In TeX parlance, a csname is a control sequence name (a "\foo").
+        def csnames(group: str, names: Iterable[str]) -> Regex:
+            ends_with_alpha = []
+            ends_with_nonalpha = []
+            for name in names:
+                if name[-1].isalpha():
+                    ends_with_alpha.append(name)
+                else:
+                    ends_with_nonalpha.append(name)
+            return Regex(
+                r"\\(?P<{group}>(?:{alpha})(?![A-Za-z]){additional}{nonalpha})".format(
+                    group=group,
+                    alpha="|".join(map(re.escape, ends_with_alpha)),
+                    additional="|" if ends_with_nonalpha else "",
+                    nonalpha="|".join(map(re.escape, ends_with_nonalpha)),
+                )
+            )
+
+        p.float_literal  = Regex(r"[-+]?([0-9]+\.?[0-9]*|\.[0-9]+)")
+        p.space          = one_of(self._space_widths)("space")
+
+        p.style_literal  = one_of(
+            [str(e.value) for e in self._MathStyle])("style_literal")
+
+        p.symbol         = Regex(
+            r"[a-zA-Z0-9 +\-*/<>=:,.;!\?&'@()\[\]|\U00000080-\U0001ffff]"
+            r"|\\[%${}\[\]_|]"
+            + r"|\\(?:{})(?![A-Za-z])".format(
+                "|".join(map(re.escape, tex2uni)))
+        )("sym").leave_whitespace()
+        p.unknown_symbol = Regex(r"\\[A-Za-z]+")("name")
+
+        p.font           = csnames("font", self._fontnames)
+        p.start_group    = Optional(r"\math" + one_of(self._fontnames)("font")) + "{"
+        p.end_group      = Literal("}")
+
+        p.delim          = one_of(self._delims)
+
+        # Mutually recursive definitions.  (Minimizing the number of Forward
+        # elements is important for speed.)
+        p.auto_delim       = Forward()
+        p.placeable        = Forward()
+        p.named_placeable  = Forward()
+        p.required_group   = Forward()
+        p.optional_group   = Forward()
+        p.token            = Forward()
+
+        # Workaround for placable being part of a cycle of definitions
+        # calling `p.placeable("name")` results in a copy, so not guaranteed
+        # to get the definition added after it is used.
+        # ref https://github.com/matplotlib/matplotlib/issues/25204
+        # xref https://github.com/pyparsing/pyparsing/issues/95
+        p.named_placeable <<= p.placeable
+
+        set_names_and_parse_actions()  # for mutually recursive definitions.
+
+        p.optional_group <<= "{" + ZeroOrMore(p.token)("group") + "}"
+        p.required_group <<= "{" + OneOrMore(p.token)("group") + "}"
+
+        p.customspace = cmd(r"\hspace", "{" + p.float_literal("space") + "}")
+
+        p.accent = (
+            csnames("accent", [*self._accent_map, *self._wide_accents])
+            - p.named_placeable("sym"))
+
+        p.function = csnames("name", self._function_names)
+
+        p.group = p.start_group + ZeroOrMore(p.token)("group") + p.end_group
+        p.unclosed_group = (p.start_group + ZeroOrMore(p.token)("group") + StringEnd())
+
+        p.frac  = cmd(r"\frac", p.required_group("num") + p.required_group("den"))
+        p.dfrac = cmd(r"\dfrac", p.required_group("num") + p.required_group("den"))
+        p.binom = cmd(r"\binom", p.required_group("num") + p.required_group("den"))
+
+        p.genfrac = cmd(
+            r"\genfrac",
+            "{" + Optional(p.delim)("ldelim") + "}"
+            + "{" + Optional(p.delim)("rdelim") + "}"
+            + "{" + p.float_literal("rulesize") + "}"
+            + "{" + Optional(p.style_literal)("style") + "}"
+            + p.required_group("num")
+            + p.required_group("den"))
+
+        p.sqrt = cmd(
+            r"\sqrt{value}",
+            Optional("[" + OneOrMore(NotAny("]") + p.token)("root") + "]")
+            + p.required_group("value"))
+
+        p.overline = cmd(r"\overline", p.required_group("body"))
+
+        p.overset  = cmd(
+            r"\overset",
+            p.optional_group("annotation") + p.optional_group("body"))
+        p.underset = cmd(
+            r"\underset",
+            p.optional_group("annotation") + p.optional_group("body"))
+
+        p.text = cmd(r"\text", QuotedString('{', '\\', end_quote_char="}"))
+
+        p.substack = cmd(r"\substack",
+                           nested_expr(opener="{", closer="}",
+                                       content=Group(OneOrMore(p.token)) +
+                                       ZeroOrMore(Literal("\\\\").suppress()))("parts"))
+
+        p.subsuper = (
+            (Optional(p.placeable)("nucleus")
+             + OneOrMore(one_of(["_", "^"]) - p.placeable)("subsuper")
+             + Regex("'*")("apostrophes"))
+            | Regex("'+")("apostrophes")
+            | (p.named_placeable("nucleus") + Regex("'*")("apostrophes"))
+        )
+
+        p.simple = p.space | p.customspace | p.font | p.subsuper
+
+        p.token <<= (
+            p.simple
+            | p.auto_delim
+            | p.unclosed_group
+            | p.unknown_symbol  # Must be last
+        )
+
+        p.operatorname = cmd(r"\operatorname", "{" + ZeroOrMore(p.simple)("name") + "}")
+
+        p.boldsymbol = cmd(
+            r"\boldsymbol", "{" + ZeroOrMore(p.simple)("value") + "}")
+
+        p.placeable     <<= (
+            p.accent     # Must be before symbol as all accents are symbols
+            | p.symbol   # Must be second to catch all named symbols and single
+                         # chars not in a group
+            | p.function
+            | p.operatorname
+            | p.group
+            | p.frac
+            | p.dfrac
+            | p.binom
+            | p.genfrac
+            | p.overset
+            | p.underset
+            | p.sqrt
+            | p.overline
+            | p.text
+            | p.boldsymbol
+            | p.substack
+        )
+
+        mdelim = r"\middle" - (p.delim("mdelim") | Error("Expected a delimiter"))
+        p.auto_delim    <<= (
+            r"\left" - (p.delim("left") | Error("Expected a delimiter"))
+            + ZeroOrMore(p.simple | p.auto_delim | mdelim)("mid")
+            + r"\right" - (p.delim("right") | Error("Expected a delimiter"))
+        )
+
+        # Leaf definitions.
+        p.math          = OneOrMore(p.token)
+        p.math_string   = QuotedString('$', '\\', unquote_results=False)
+        p.non_math      = Regex(r"(?:(?:\\[$])|[^$])*").leave_whitespace()
+        p.main          = (
+            p.non_math + ZeroOrMore(p.math_string + p.non_math) + StringEnd()
+        )
+        set_names_and_parse_actions()  # for leaf definitions.
+
+        self._expression = p.main
+        self._math_expression = p.math
+
+        # To add space to nucleus operators after sub/superscripts
+        self._in_subscript_or_superscript = False
+
+    def parse(self, s: str, fonts_object: Fonts, fontsize: float, dpi: float) -> Hlist:
+        """
+        Parse expression *s* using the given *fonts_object* for
+        output, at the given *fontsize* and *dpi*.
+
+        Returns the parse tree of `Node` instances.
+        """
+        self._state_stack = [
+            ParserState(fonts_object, 'default', 'rm', fontsize, dpi)]
+        self._em_width_cache: dict[tuple[str, float, float], float] = {}
+        try:
+            result = self._expression.parse_string(s)
+        except ParseBaseException as err:
+            # explain becomes a plain method on pyparsing 3 (err.explain(0)).
+            raise ValueError("\n" + ParseException.explain(err, 0)) from None
+        self._state_stack = []
+        self._in_subscript_or_superscript = False
+        # prevent operator spacing from leaking into a new expression
+        self._em_width_cache = {}
+        ParserElement.reset_cache()
+        return T.cast(Hlist, result[0])  # Known return type from main.
+
+    def get_state(self) -> ParserState:
+        """Get the current `State` of the parser."""
+        return self._state_stack[-1]
+
+    def pop_state(self) -> None:
+        """Pop a `State` off of the stack."""
+        self._state_stack.pop()
+
+    def push_state(self) -> None:
+        """Push a new `State` onto the stack, copying the current state."""
+        self._state_stack.append(self.get_state().copy())
+
+    def main(self, toks: ParseResults) -> list[Hlist]:
+        return [Hlist(toks.as_list())]
+
+    def math_string(self, toks: ParseResults) -> ParseResults:
+        return self._math_expression.parse_string(toks[0][1:-1], parse_all=True)
+
+    def math(self, toks: ParseResults) -> T.Any:
+        hlist = Hlist(toks.as_list())
+        self.pop_state()
+        return [hlist]
+
+    def non_math(self, toks: ParseResults) -> T.Any:
+        s = toks[0].replace(r'\$', '$')
+        symbols = [Char(c, self.get_state()) for c in s]
+        hlist = Hlist(symbols)
+        # We're going into math now, so set font to 'it'
+        self.push_state()
+        self.get_state().font = mpl.rcParams['mathtext.default']
+        return [hlist]
+
+    float_literal = staticmethod(pyparsing_common.convert_to_float)
+
+    def text(self, toks: ParseResults) -> T.Any:
+        self.push_state()
+        state = self.get_state()
+        state.font = 'rm'
+        hlist = Hlist([Char(c, state) for c in toks[1]])
+        self.pop_state()
+        return [hlist]
+
+    def _make_space(self, percentage: float) -> Kern:
+        # In TeX, an em (the unit usually used to measure horizontal lengths)
+        # is not the width of the character 'm'; it is the same in different
+        # font styles (e.g. roman or italic). Mathtext, however, uses 'm' in
+        # the italic style so that horizontal spaces don't depend on the
+        # current font style.
+        state = self.get_state()
+        key = (state.font, state.fontsize, state.dpi)
+        width = self._em_width_cache.get(key)
+        if width is None:
+            metrics = state.fontset.get_metrics(
+                'it', mpl.rcParams['mathtext.default'], 'm',
+                state.fontsize, state.dpi)
+            width = metrics.advance
+            self._em_width_cache[key] = width
+        return Kern(width * percentage)
+
+    _space_widths = {
+        r'\,':         0.16667,   # 3/18 em = 3 mu
+        r'\thinspace': 0.16667,   # 3/18 em = 3 mu
+        r'\/':         0.16667,   # 3/18 em = 3 mu
+        r'\>':         0.22222,   # 4/18 em = 4 mu
+        r'\:':         0.22222,   # 4/18 em = 4 mu
+        r'\;':         0.27778,   # 5/18 em = 5 mu
+        r'\ ':         0.33333,   # 6/18 em = 6 mu
+        r'~':          0.33333,   # 6/18 em = 6 mu, nonbreakable
+        r'\enspace':   0.5,       # 9/18 em = 9 mu
+        r'\quad':      1,         # 1 em = 18 mu
+        r'\qquad':     2,         # 2 em = 36 mu
+        r'\!':         -0.16667,  # -3/18 em = -3 mu
+    }
+
+    def space(self, toks: ParseResults) -> T.Any:
+        num = self._space_widths[toks["space"]]
+        box = self._make_space(num)
+        return [box]
+
+    def customspace(self, toks: ParseResults) -> T.Any:
+        return [self._make_space(toks["space"])]
+
+    def symbol(self, s: str, loc: int,
+               toks: ParseResults | dict[str, str]) -> T.Any:
+        c = toks["sym"]
+        if c == "-":
+            # "U+2212 minus sign is the preferred representation of the unary
+            # and binary minus sign rather than the ASCII-derived U+002D
+            # hyphen-minus, because minus sign is unambiguous and because it
+            # is rendered with a more desirable length, usually longer than a
+            # hyphen." (https://www.unicode.org/reports/tr25/)
+            c = "\N{MINUS SIGN}"
+        try:
+            char = Char(c, self.get_state())
+        except ValueError as err:
+            raise ParseFatalException(s, loc,
+                                      "Unknown symbol: %s" % c) from err
+
+        if c in self._spaced_symbols:
+            # iterate until we find previous character, needed for cases
+            # such as $=-2$, ${ -2}$, $ -2$, or $   -2$.
+            prev_char = next((c for c in s[:loc][::-1] if c != ' '), '')
+            # Binary operators at start of string should not be spaced
+            # Also, operators in sub- or superscripts should not be spaced
+            if (self._in_subscript_or_superscript or (
+                    c in self._binary_operators and (
+                    len(s[:loc].split()) == 0 or prev_char in {
+                        '{', *self._left_delims, *self._relation_symbols}))):
+                return [char]
+            else:
+                return [Hlist([self._make_space(0.2),
+                               char,
+                               self._make_space(0.2)],
+                              do_kern=True)]
+        elif c in self._punctuation_symbols:
+            prev_char = next((c for c in s[:loc][::-1] if c != ' '), '')
+            next_char = next((c for c in s[loc + 1:] if c != ' '), '')
+
+            # Do not space commas between brackets
+            if c == ',':
+                if prev_char == '{' and next_char == '}':
+                    return [char]
+
+            # Do not space dots as decimal separators
+            if c == '.' and prev_char.isdigit() and next_char.isdigit():
+                return [char]
+            else:
+                return [Hlist([char, self._make_space(0.2)], do_kern=True)]
+        return [char]
+
+    def unknown_symbol(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        raise ParseFatalException(s, loc, f"Unknown symbol: {toks['name']}")
+
+    _accent_map = {
+        r'hat':            r'\circumflexaccent',
+        r'breve':          r'\combiningbreve',
+        r'bar':            r'\combiningoverline',
+        r'grave':          r'\combininggraveaccent',
+        r'acute':          r'\combiningacuteaccent',
+        r'tilde':          r'\combiningtilde',
+        r'dot':            r'\combiningdotabove',
+        r'ddot':           r'\combiningdiaeresis',
+        r'dddot':          r'\combiningthreedotsabove',
+        r'ddddot':         r'\combiningfourdotsabove',
+        r'vec':            r'\combiningrightarrowabove',
+        r'"':              r'\combiningdiaeresis',
+        r"`":              r'\combininggraveaccent',
+        r"'":              r'\combiningacuteaccent',
+        r'~':              r'\combiningtilde',
+        r'.':              r'\combiningdotabove',
+        r'^':              r'\circumflexaccent',
+        r'overrightarrow': r'\rightarrow',
+        r'overleftarrow':  r'\leftarrow',
+        r'mathring':       r'\circ',
+    }
+
+    _wide_accents = set(r"widehat widetilde widebar".split())
+
+    def accent(self, toks: ParseResults) -> T.Any:
+        state = self.get_state()
+        thickness = state.get_current_underline_thickness()
+        accent = toks["accent"]
+        sym = toks["sym"]
+        accent_box: Node
+        if accent in self._wide_accents:
+            accent_box = AutoWidthChar(
+                '\\' + accent, sym.width, state, char_class=Accent)
+        else:
+            accent_box = Accent(self._accent_map[accent], state)
+        if accent == 'mathring':
+            accent_box.shrink()
+            accent_box.shrink()
+        centered = HCentered([Hbox(sym.width / 4.0), accent_box])
+        centered.hpack(sym.width, 'exactly')
+        return Vlist([
+                centered,
+                Vbox(0., thickness * 2.0),
+                Hlist([sym])
+                ])
+
+    def function(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        hlist = self.operatorname(s, loc, toks)
+        hlist.function_name = toks["name"]
+        return hlist
+
+    def operatorname(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        self.push_state()
+        state = self.get_state()
+        state.font = 'rm'
+        hlist_list: list[Node] = []
+        # Change the font of Chars, but leave Kerns alone
+        name = toks["name"]
+        for c in name:
+            if isinstance(c, Char):
+                c.font = 'rm'
+                c._update_metrics()
+                hlist_list.append(c)
+            elif isinstance(c, str):
+                hlist_list.append(Char(c, state))
+            else:
+                hlist_list.append(c)
+        next_char_loc = loc + len(name) + 1
+        if isinstance(name, ParseResults):
+            next_char_loc += len('operatorname{}')
+        next_char = next((c for c in s[next_char_loc:] if c != ' '), '')
+        delimiters = self._delims | {'^', '_'}
+        if (next_char not in delimiters and
+                name not in self._overunder_functions):
+            # Add thin space except when followed by parenthesis, bracket, etc.
+            hlist_list += [self._make_space(self._space_widths[r'\,'])]
+        self.pop_state()
+        # if followed by a super/subscript, set flag to true
+        # This flag tells subsuper to add space after this operator
+        if next_char in {'^', '_'}:
+            self._in_subscript_or_superscript = True
+        else:
+            self._in_subscript_or_superscript = False
+
+        return Hlist(hlist_list)
+
+    def start_group(self, toks: ParseResults) -> T.Any:
+        self.push_state()
+        # Deal with LaTeX-style font tokens
+        if toks.get("font"):
+            self.get_state().font = toks.get("font")
+        return []
+
+    def group(self, toks: ParseResults) -> T.Any:
+        grp = Hlist(toks.get("group", []))
+        return [grp]
+
+    def required_group(self, toks: ParseResults) -> T.Any:
+        return Hlist(toks.get("group", []))
+
+    optional_group = required_group
+
+    def end_group(self) -> T.Any:
+        self.pop_state()
+        return []
+
+    def unclosed_group(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        raise ParseFatalException(s, len(s), "Expected '}'")
+
+    def font(self, toks: ParseResults) -> T.Any:
+        self.get_state().font = toks["font"]
+        return []
+
+    def is_overunder(self, nucleus: Node) -> bool:
+        if isinstance(nucleus, Char):
+            return nucleus.c in self._overunder_symbols
+        elif isinstance(nucleus, Hlist) and hasattr(nucleus, 'function_name'):
+            return nucleus.function_name in self._overunder_functions
+        return False
+
+    def is_dropsub(self, nucleus: Node) -> bool:
+        if isinstance(nucleus, Char):
+            return nucleus.c in self._dropsub_symbols
+        return False
+
+    def is_slanted(self, nucleus: Node) -> bool:
+        if isinstance(nucleus, Char):
+            return nucleus.is_slanted()
+        return False
+
+    def subsuper(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        nucleus = toks.get("nucleus", Hbox(0))
+        subsuper = toks.get("subsuper", [])
+        napostrophes = len(toks.get("apostrophes", []))
+
+        if not subsuper and not napostrophes:
+            return nucleus
+
+        sub = super = None
+        while subsuper:
+            op, arg, *subsuper = subsuper
+            if op == '_':
+                if sub is not None:
+                    raise ParseFatalException("Double subscript")
+                sub = arg
+            else:
+                if super is not None:
+                    raise ParseFatalException("Double superscript")
+                super = arg
+
+        state = self.get_state()
+        rule_thickness = state.fontset.get_underline_thickness(
+            state.font, state.fontsize, state.dpi)
+        xHeight = state.fontset.get_xheight(
+            state.font, state.fontsize, state.dpi)
+
+        if napostrophes:
+            if super is None:
+                super = Hlist([])
+            for i in range(napostrophes):
+                super.children.extend(self.symbol(s, loc, {"sym": "\\prime"}))
+            # kern() and hpack() needed to get the metrics right after
+            # extending
+            super.kern()
+            super.hpack()
+
+        # Handle over/under symbols, such as sum or prod
+        if self.is_overunder(nucleus):
+            vlist = []
+            shift = 0.
+            width = nucleus.width
+            if super is not None:
+                super.shrink()
+                width = max(width, super.width)
+            if sub is not None:
+                sub.shrink()
+                width = max(width, sub.width)
+
+            vgap = rule_thickness * 3.0
+            if super is not None:
+                hlist = HCentered([super])
+                hlist.hpack(width, 'exactly')
+                vlist.extend([hlist, Vbox(0, vgap)])
+            hlist = HCentered([nucleus])
+            hlist.hpack(width, 'exactly')
+            vlist.append(hlist)
+            if sub is not None:
+                hlist = HCentered([sub])
+                hlist.hpack(width, 'exactly')
+                vlist.extend([Vbox(0, vgap), hlist])
+                shift = hlist.height + vgap + nucleus.depth
+            vlt = Vlist(vlist)
+            vlt.shift_amount = shift
+            result = Hlist([vlt])
+            return [result]
+
+        # We remove kerning on the last character for consistency (otherwise
+        # it will compute kerning based on non-shrunk characters and may put
+        # them too close together when superscripted)
+        # We change the width of the last character to match the advance to
+        # consider some fonts with weird metrics: e.g. stix's f has a width of
+        # 7.75 and a kerning of -4.0 for an advance of 3.72, and we want to put
+        # the superscript at the advance
+        last_char = nucleus
+        if isinstance(nucleus, Hlist):
+            new_children = nucleus.children
+            if len(new_children):
+                # remove last kern
+                if (isinstance(new_children[-1], Kern) and
+                        isinstance(new_children[-2], Char)):
+                    new_children = new_children[:-1]
+                last_char = new_children[-1]
+                if isinstance(last_char, Char):
+                    last_char.width = last_char._metrics.advance
+            # create new Hlist without kerning
+            nucleus = Hlist(new_children, do_kern=False)
+        else:
+            if isinstance(nucleus, Char):
+                last_char.width = last_char._metrics.advance
+            nucleus = Hlist([nucleus])
+
+        # Handle regular sub/superscripts
+        constants = _get_font_constant_set(state)
+        lc_height   = last_char.height
+        lc_baseline = 0
+        if self.is_dropsub(last_char):
+            lc_baseline = last_char.depth
+
+        # Compute kerning for sub and super
+        superkern = constants.delta * xHeight
+        subkern = constants.delta * xHeight
+        if self.is_slanted(last_char):
+            superkern += constants.delta * xHeight
+            superkern += (constants.delta_slanted *
+                          (lc_height - xHeight * 2. / 3.))
+            if self.is_dropsub(last_char):
+                subkern = (3 * constants.delta -
+                           constants.delta_integral) * lc_height
+                superkern = (3 * constants.delta +
+                             constants.delta_integral) * lc_height
+            else:
+                subkern = 0
+
+        x: List
+        if super is None:
+            # node757
+            # Note: One of super or sub must be a Node if we're in this function, but
+            # mypy can't know this, since it can't interpret pyparsing expressions,
+            # hence the cast.
+            x = Hlist([Kern(subkern), T.cast(Node, sub)])
+            x.shrink()
+            if self.is_dropsub(last_char):
+                shift_down = lc_baseline + constants.subdrop * xHeight
+            else:
+                shift_down = constants.sub1 * xHeight
+            x.shift_amount = shift_down
+        else:
+            x = Hlist([Kern(superkern), super])
+            x.shrink()
+            if self.is_dropsub(last_char):
+                shift_up = lc_height - constants.subdrop * xHeight
+            else:
+                shift_up = constants.sup1 * xHeight
+            if sub is None:
+                x.shift_amount = -shift_up
+            else:  # Both sub and superscript
+                y = Hlist([Kern(subkern), sub])
+                y.shrink()
+                if self.is_dropsub(last_char):
+                    shift_down = lc_baseline + constants.subdrop * xHeight
+                else:
+                    shift_down = constants.sub2 * xHeight
+                # If sub and superscript collide, move super up
+                clr = (2.0 * rule_thickness -
+                       ((shift_up - x.depth) - (y.height - shift_down)))
+                if clr > 0.:
+                    shift_up += clr
+                x = Vlist([
+                    x,
+                    Kern((shift_up - x.depth) - (y.height - shift_down)),
+                    y])
+                x.shift_amount = shift_down
+
+        if not self.is_dropsub(last_char):
+            x.width += constants.script_space * xHeight
+
+        # Do we need to add a space after the nucleus?
+        # To find out, check the flag set by operatorname
+        spaced_nucleus: list[Node] = [nucleus, x]
+        if self._in_subscript_or_superscript:
+            spaced_nucleus += [self._make_space(self._space_widths[r'\,'])]
+            self._in_subscript_or_superscript = False
+
+        result = Hlist(spaced_nucleus)
+        return [result]
+
+    def _genfrac(self, ldelim: str, rdelim: str, rule: float | None, style: _MathStyle,
+                 num: Hlist, den: Hlist) -> T.Any:
+        state = self.get_state()
+        thickness = state.get_current_underline_thickness()
+
+        for _ in range(style.value):
+            num.shrink()
+            den.shrink()
+        cnum = HCentered([num])
+        cden = HCentered([den])
+        width = max(num.width, den.width)
+        cnum.hpack(width, 'exactly')
+        cden.hpack(width, 'exactly')
+        vlist = Vlist([cnum,                      # numerator
+                       Vbox(0, thickness * 2.0),  # space
+                       Hrule(state, rule),        # rule
+                       Vbox(0, thickness * 2.0),  # space
+                       cden                       # denominator
+                       ])
+
+        # Shift so the fraction line sits in the middle of the
+        # equals sign
+        metrics = state.fontset.get_metrics(
+            state.font, mpl.rcParams['mathtext.default'],
+            '=', state.fontsize, state.dpi)
+        shift = (cden.height -
+                 ((metrics.ymax + metrics.ymin) / 2 -
+                  thickness * 3.0))
+        vlist.shift_amount = shift
+
+        result = [Hlist([vlist, Hbox(thickness * 2.)])]
+        if ldelim or rdelim:
+            if ldelim == '':
+                ldelim = '.'
+            if rdelim == '':
+                rdelim = '.'
+            return self._auto_sized_delimiter(ldelim,
+                                              T.cast(list[Box | Char | str],
+                                                     result),
+                                              rdelim)
+        return result
+
+    def style_literal(self, toks: ParseResults) -> T.Any:
+        return self._MathStyle(int(toks["style_literal"]))
+
+    def genfrac(self, toks: ParseResults) -> T.Any:
+        return self._genfrac(
+            toks.get("ldelim", ""), toks.get("rdelim", ""),
+            toks["rulesize"], toks.get("style", self._MathStyle.TEXTSTYLE),
+            toks["num"], toks["den"])
+
+    def frac(self, toks: ParseResults) -> T.Any:
+        return self._genfrac(
+            "", "", self.get_state().get_current_underline_thickness(),
+            self._MathStyle.TEXTSTYLE, toks["num"], toks["den"])
+
+    def dfrac(self, toks: ParseResults) -> T.Any:
+        return self._genfrac(
+            "", "", self.get_state().get_current_underline_thickness(),
+            self._MathStyle.DISPLAYSTYLE, toks["num"], toks["den"])
+
+    def binom(self, toks: ParseResults) -> T.Any:
+        return self._genfrac(
+            "(", ")", 0,
+            self._MathStyle.TEXTSTYLE, toks["num"], toks["den"])
+
+    def _genset(self, s: str, loc: int, toks: ParseResults) -> T.Any:
+        annotation = toks["annotation"]
+        body = toks["body"]
+        thickness = self.get_state().get_current_underline_thickness()
+
+        annotation.shrink()
+        centered_annotation = HCentered([annotation])
+        centered_body = HCentered([body])
+        width = max(centered_annotation.width, centered_body.width)
+        centered_annotation.hpack(width, 'exactly')
+        centered_body.hpack(width, 'exactly')
+
+        vgap = thickness * 3
+        if s[loc + 1] == "u":  # \underset
+            vlist = Vlist([
+                centered_body,               # body
+                Vbox(0, vgap),               # space
+                centered_annotation          # annotation
+            ])
+            # Shift so the body sits in the same vertical position
+            vlist.shift_amount = centered_body.depth + centered_annotation.height + vgap
+        else:  # \overset
+            vlist = Vlist([
+                centered_annotation,         # annotation
+                Vbox(0, vgap),               # space
+                centered_body                # body
+            ])
+
+        # To add horizontal gap between symbols: wrap the Vlist into
+        # an Hlist and extend it with an Hbox(0, horizontal_gap)
+        return vlist
+
+    overset = underset = _genset
+
+    def sqrt(self, toks: ParseResults) -> T.Any:
+        root = toks.get("root")
+        body = toks["value"]
+        state = self.get_state()
+        thickness = state.get_current_underline_thickness()
+
+        # Determine the height of the body, and add a little extra to
+        # the height so it doesn't seem cramped
+        height = body.height - body.shift_amount + thickness * 5.0
+        depth = body.depth + body.shift_amount
+        check = AutoHeightChar(r'\__sqrt__', height, depth, state, always=True)
+        height = check.height - check.shift_amount
+        depth = check.depth + check.shift_amount
+
+        # Put a little extra space to the left and right of the body
+        padded_body = Hlist([Hbox(2 * thickness), body, Hbox(2 * thickness)])
+        rightside = Vlist([Hrule(state), Glue('fill'), padded_body])
+        # Stretch the glue between the hrule and the body
+        rightside.vpack(height + (state.fontsize * state.dpi) / (100.0 * 12.0),
+                        'exactly', depth)
+
+        # Add the root and shift it upward so it is above the tick.
+        # The value of 0.6 is a hard-coded hack ;)
+        if not root:
+            root = Box(check.width * 0.5, 0., 0.)
+        else:
+            root = Hlist(root)
+            root.shrink()
+            root.shrink()
+
+        root_vlist = Vlist([Hlist([root])])
+        root_vlist.shift_amount = -height * 0.6
+
+        hlist = Hlist([root_vlist,               # Root
+                       # Negative kerning to put root over tick
+                       Kern(-check.width * 0.5),
+                       check,                    # Check
+                       rightside])               # Body
+        return [hlist]
+
+    def overline(self, toks: ParseResults) -> T.Any:
+        body = toks["body"]
+
+        state = self.get_state()
+        thickness = state.get_current_underline_thickness()
+
+        height = body.height - body.shift_amount + thickness * 3.0
+        depth = body.depth + body.shift_amount
+
+        # Place overline above body
+        rightside = Vlist([Hrule(state), Glue('fill'), Hlist([body])])
+
+        # Stretch the glue between the hrule and the body
+        rightside.vpack(height + (state.fontsize * state.dpi) / (100.0 * 12.0),
+                        'exactly', depth)
+
+        hlist = Hlist([rightside])
+        return [hlist]
+
+    def _auto_sized_delimiter(self, front: str,
+                              middle: list[Box | Char | str],
+                              back: str) -> T.Any:
+        state = self.get_state()
+        if len(middle):
+            height = max([x.height for x in middle if not isinstance(x, str)])
+            depth = max([x.depth for x in middle if not isinstance(x, str)])
+            factor = None
+            for idx, el in enumerate(middle):
+                if el == r'\middle':
+                    c = T.cast(str, middle[idx + 1])  # Should be one of p.delims.
+                    if c != '.':
+                        middle[idx + 1] = AutoHeightChar(
+                                c, height, depth, state, factor=factor)
+                    else:
+                        middle.remove(c)
+                    del middle[idx]
+            # There should only be \middle and its delimiter as str, which have
+            # just been removed.
+            middle_part = T.cast(list[Box | Char], middle)
+        else:
+            height = 0
+            depth = 0
+            factor = 1.0
+            middle_part = []
+
+        parts: list[Node] = []
+        # \left. and \right. aren't supposed to produce any symbols
+        if front != '.':
+            parts.append(
+                AutoHeightChar(front, height, depth, state, factor=factor))
+        parts.extend(middle_part)
+        if back != '.':
+            parts.append(
+                AutoHeightChar(back, height, depth, state, factor=factor))
+        hlist = Hlist(parts)
+        return hlist
+
+    def auto_delim(self, toks: ParseResults) -> T.Any:
+        return self._auto_sized_delimiter(
+            toks["left"],
+            # if "mid" in toks ... can be removed when requiring pyparsing 3.
+            toks["mid"].as_list() if "mid" in toks else [],
+            toks["right"])
+
+    def boldsymbol(self, toks: ParseResults) -> T.Any:
+        self.push_state()
+        state = self.get_state()
+        hlist: list[Node] = []
+        name = toks["value"]
+        for c in name:
+            if isinstance(c, Hlist):
+                k = c.children[1]
+                if isinstance(k, Char):
+                    k.font = "bf"
+                    k._update_metrics()
+                hlist.append(c)
+            elif isinstance(c, Char):
+                c.font = "bf"
+                if (c.c in self._latin_alphabets or
+                   c.c[1:] in self._small_greek):
+                    c.font = "bfit"
+                    c._update_metrics()
+                c._update_metrics()
+                hlist.append(c)
+            else:
+                hlist.append(c)
+        self.pop_state()
+
+        return Hlist(hlist)
+
+    def substack(self, toks: ParseResults) -> T.Any:
+        parts = toks["parts"]
+        state = self.get_state()
+        thickness = state.get_current_underline_thickness()
+
+        hlist = [Hlist(k) for k in parts[0]]
+        max_width = max(map(lambda c: c.width, hlist))
+
+        vlist = []
+        for sub in hlist:
+            cp = HCentered([sub])
+            cp.hpack(max_width, 'exactly')
+            vlist.append(cp)
+
+        stack = [val
+                 for pair in zip(vlist, [Vbox(0, thickness * 2)] * len(vlist))
+                 for val in pair]
+        del stack[-1]
+        vlt = Vlist(stack)
+        result = [Hlist([vlt])]
+        return result
diff --git a/lib/matplotlib/_mathtext_data.py b/lib/matplotlib/_mathtext_data.py
index 9354c71dc330..5819ee743044 100644
--- a/lib/matplotlib/_mathtext_data.py
+++ b/lib/matplotlib/_mathtext_data.py
@@ -1,2567 +1,1742 @@
 """
 font data tables for truetype and afm computer modern fonts
 """
-# this dict maps symbol names to fontnames, glyphindex.  To get the
-# glyph index from the character code, you have to use get_charmap
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-
-"""
-from matplotlib.ft2font import FT2Font
-font = FT2Font('/usr/local/share/matplotlib/cmr10.ttf')
-items = font.get_charmap().items()
-items.sort()
-
-for charcode, glyphind in items:
-    print charcode, glyphind
-"""
+from __future__ import annotations
+from typing import overload
 
 latex_to_bakoma = {
-    r'\oint'                     : ('cmex10',  45),
-    r'\bigodot'                  : ('cmex10',  50),
-    r'\bigoplus'                 : ('cmex10',  55),
-    r'\bigotimes'                : ('cmex10',  59),
-    r'\sum'                      : ('cmex10',  51),
-    r'\prod'                     : ('cmex10',  24),
-    r'\int'                      : ('cmex10',  56),
-    r'\bigcup'                   : ('cmex10',  28),
-    r'\bigcap'                   : ('cmex10',  60),
-    r'\biguplus'                 : ('cmex10',  32),
-    r'\bigwedge'                 : ('cmex10',   4),
-    r'\bigvee'                   : ('cmex10',  37),
-    r'\coprod'                   : ('cmex10',  42),
-    r'\__sqrt__'                 : ('cmex10',  48),
-    r'\leftbrace'                : ('cmex10',  92),
-    r'{'                         : ('cmex10',  92),
-    r'\{'                        : ('cmex10',  92),
-    r'\rightbrace'               : ('cmex10', 130),
-    r'}'                         : ('cmex10', 130),
-    r'\}'                        : ('cmex10', 130),
-    r'\leftangle'                : ('cmex10',  97),
-    r'\rightangle'               : ('cmex10',  64),
-    r'\langle'                   : ('cmex10',  97),
-    r'\rangle'                   : ('cmex10',  64),
-    r'\widehat'                  : ('cmex10',  15),
-    r'\widetilde'                : ('cmex10',  52),
-    r'\widebar'                  : ('cmr10',  131),
-
-    r'\omega'                    : ('cmmi10',  29),
-    r'\varepsilon'               : ('cmmi10',  20),
-    r'\vartheta'                 : ('cmmi10',  22),
-    r'\varrho'                   : ('cmmi10',  61),
-    r'\varsigma'                 : ('cmmi10',  41),
-    r'\varphi'                   : ('cmmi10',   6),
-    r'\leftharpoonup'            : ('cmmi10', 108),
-    r'\leftharpoondown'          : ('cmmi10',  68),
-    r'\rightharpoonup'           : ('cmmi10', 117),
-    r'\rightharpoondown'         : ('cmmi10',  77),
-    r'\triangleright'            : ('cmmi10', 130),
-    r'\triangleleft'             : ('cmmi10',  89),
-    r'.'                         : ('cmmi10',  51),
-    r','                         : ('cmmi10',  44),
-    r'<'                         : ('cmmi10',  99),
-    r'/'                         : ('cmmi10',  98),
-    r'>'                         : ('cmmi10', 107),
-    r'\flat'                     : ('cmmi10', 131),
-    r'\natural'                  : ('cmmi10',  90),
-    r'\sharp'                    : ('cmmi10',  50),
-    r'\smile'                    : ('cmmi10',  97),
-    r'\frown'                    : ('cmmi10',  58),
-    r'\ell'                      : ('cmmi10', 102),
-    r'\imath'                    : ('cmmi10',   8),
-    r'\jmath'                    : ('cmmi10',  65),
-    r'\wp'                       : ('cmmi10',  14),
-    r'\alpha'                    : ('cmmi10',  13),
-    r'\beta'                     : ('cmmi10',  35),
-    r'\gamma'                    : ('cmmi10',  24),
-    r'\delta'                    : ('cmmi10',  38),
-    r'\epsilon'                  : ('cmmi10',  54),
-    r'\zeta'                     : ('cmmi10',  10),
-    r'\eta'                      : ('cmmi10',   5),
-    r'\theta'                    : ('cmmi10',  18),
-    r'\iota'                     : ('cmmi10',  28),
-    r'\lambda'                   : ('cmmi10',   9),
-    r'\mu'                       : ('cmmi10',  32),
-    r'\nu'                       : ('cmmi10',  34),
-    r'\xi'                       : ('cmmi10',   7),
-    r'\pi'                       : ('cmmi10',  36),
-    r'\kappa'                    : ('cmmi10',  30),
-    r'\rho'                      : ('cmmi10',  39),
-    r'\sigma'                    : ('cmmi10',  21),
-    r'\tau'                      : ('cmmi10',  43),
-    '\\upsilon'                  : ('cmmi10',  25),
-    r'\phi'                      : ('cmmi10',  42),
-    r'\chi'                      : ('cmmi10',  17),
-    r'\psi'                      : ('cmmi10',  31),
-    r'|'                         : ('cmsy10',  47),
-    r'\|'                        : ('cmsy10',  47),
-    r'('                         : ('cmr10',  119),
-    r'\leftparen'                : ('cmr10',  119),
-    r'\rightparen'               : ('cmr10',   68),
-    r')'                         : ('cmr10',   68),
-    r'+'                         : ('cmr10',   76),
-    r'0'                         : ('cmr10',   40),
-    r'1'                         : ('cmr10',  100),
-    r'2'                         : ('cmr10',   49),
-    r'3'                         : ('cmr10',  110),
-    r'4'                         : ('cmr10',   59),
-    r'5'                         : ('cmr10',  120),
-    r'6'                         : ('cmr10',   69),
-    r'7'                         : ('cmr10',  127),
-    r'8'                         : ('cmr10',   77),
-    r'9'                         : ('cmr10',   22),
-    r':'                         : ('cmr10',   85),
-    r';'                         : ('cmr10',   31),
-    r'='                         : ('cmr10',   41),
-    r'\leftbracket'              : ('cmr10',   62),
-    r'['                         : ('cmr10',   62),
-    r'\rightbracket'             : ('cmr10',   72),
-    r']'                         : ('cmr10',   72),
-    r'\%'                        : ('cmr10',   48),
-    r'%'                         : ('cmr10',   48),
-    r'\$'                        : ('cmr10',   99),
-    r'@'                         : ('cmr10',  111),
-    r'\#'                        : ('cmr10',   39),
-    r'\_'                        : ('cmtt10', 79),
-    r'\Gamma'                    : ('cmr10',  19),
-    r'\Delta'                    : ('cmr10',   6),
-    r'\Theta'                    : ('cmr10',   7),
-    r'\Lambda'                   : ('cmr10',  14),
-    r'\Xi'                       : ('cmr10',   3),
-    r'\Pi'                       : ('cmr10',  17),
-    r'\Sigma'                    : ('cmr10',  10),
-    '\\Upsilon'                  : ('cmr10',  11),
-    r'\Phi'                      : ('cmr10',   9),
-    r'\Psi'                      : ('cmr10',  15),
-    r'\Omega'                    : ('cmr10',  12),
-
-    r'\prime'                    : ('cmsy10',  73),
+    '\\__sqrt__'                 : ('cmex10', 0x70),
+    '\\bigcap'                   : ('cmex10', 0x5c),
+    '\\bigcup'                   : ('cmex10', 0x5b),
+    '\\bigodot'                  : ('cmex10', 0x4b),
+    '\\bigoplus'                 : ('cmex10', 0x4d),
+    '\\bigotimes'                : ('cmex10', 0x4f),
+    '\\biguplus'                 : ('cmex10', 0x5d),
+    '\\bigvee'                   : ('cmex10', 0x5f),
+    '\\bigwedge'                 : ('cmex10', 0x5e),
+    '\\coprod'                   : ('cmex10', 0x61),
+    '\\int'                      : ('cmex10', 0x5a),
+    '\\langle'                   : ('cmex10', 0xad),
+    '\\leftangle'                : ('cmex10', 0xad),
+    '\\leftbrace'                : ('cmex10', 0xa9),
+    '\\oint'                     : ('cmex10', 0x49),
+    '\\prod'                     : ('cmex10', 0x59),
+    '\\rangle'                   : ('cmex10', 0xae),
+    '\\rightangle'               : ('cmex10', 0xae),
+    '\\rightbrace'               : ('cmex10', 0xaa),
+    '\\sum'                      : ('cmex10', 0x58),
+    '\\widehat'                  : ('cmex10', 0x62),
+    '\\widetilde'                : ('cmex10', 0x65),
+    '\\{'                        : ('cmex10', 0xa9),
+    '\\}'                        : ('cmex10', 0xaa),
+    '{'                          : ('cmex10', 0xa9),
+    '}'                          : ('cmex10', 0xaa),
 
-    # these are mathml names, I think.  I'm just using them for the
-    # tex methods noted
-    r'\circumflexaccent'         : ('cmr10',   124), # for \hat
-    r'\combiningbreve'           : ('cmr10',   81),  # for \breve
-    r'\combiningoverline'        : ('cmr10',   131),  # for \bar
-    r'\combininggraveaccent'     : ('cmr10', 114), # for \grave
-    r'\combiningacuteaccent'     : ('cmr10', 63), # for \accute
-    r'\combiningdiaeresis'       : ('cmr10', 91), # for \ddot
-    r'\combiningtilde'           : ('cmr10', 75), # for \tilde
-    r'\combiningrightarrowabove' : ('cmmi10', 110), # for \vec
-    r'\combiningdotabove'        : ('cmr10', 26), # for \dot
+    ','                          : ('cmmi10', 0x3b),
+    '.'                          : ('cmmi10', 0x3a),
+    '/'                          : ('cmmi10', 0x3d),
+    '<'                          : ('cmmi10', 0x3c),
+    '>'                          : ('cmmi10', 0x3e),
+    '\\alpha'                    : ('cmmi10', 0xae),
+    '\\beta'                     : ('cmmi10', 0xaf),
+    '\\chi'                      : ('cmmi10', 0xc2),
+    '\\combiningrightarrowabove' : ('cmmi10', 0x7e),
+    '\\delta'                    : ('cmmi10', 0xb1),
+    '\\ell'                      : ('cmmi10', 0x60),
+    '\\epsilon'                  : ('cmmi10', 0xb2),
+    '\\eta'                      : ('cmmi10', 0xb4),
+    '\\flat'                     : ('cmmi10', 0x5b),
+    '\\frown'                    : ('cmmi10', 0x5f),
+    '\\gamma'                    : ('cmmi10', 0xb0),
+    '\\imath'                    : ('cmmi10', 0x7b),
+    '\\iota'                     : ('cmmi10', 0xb6),
+    '\\jmath'                    : ('cmmi10', 0x7c),
+    '\\kappa'                    : ('cmmi10', 0x2219),
+    '\\lambda'                   : ('cmmi10', 0xb8),
+    '\\leftharpoondown'          : ('cmmi10', 0x29),
+    '\\leftharpoonup'            : ('cmmi10', 0x28),
+    '\\mu'                       : ('cmmi10', 0xb9),
+    '\\natural'                  : ('cmmi10', 0x5c),
+    '\\nu'                       : ('cmmi10', 0xba),
+    '\\omega'                    : ('cmmi10', 0x21),
+    '\\phi'                      : ('cmmi10', 0xc1),
+    '\\pi'                       : ('cmmi10', 0xbc),
+    '\\psi'                      : ('cmmi10', 0xc3),
+    '\\rho'                      : ('cmmi10', 0xbd),
+    '\\rightharpoondown'         : ('cmmi10', 0x2b),
+    '\\rightharpoonup'           : ('cmmi10', 0x2a),
+    '\\sharp'                    : ('cmmi10', 0x5d),
+    '\\sigma'                    : ('cmmi10', 0xbe),
+    '\\smile'                    : ('cmmi10', 0x5e),
+    '\\tau'                      : ('cmmi10', 0xbf),
+    '\\theta'                    : ('cmmi10', 0xb5),
+    '\\triangleleft'             : ('cmmi10', 0x2f),
+    '\\triangleright'            : ('cmmi10', 0x2e),
+    '\\upsilon'                  : ('cmmi10', 0xc0),
+    '\\varepsilon'               : ('cmmi10', 0x22),
+    '\\varphi'                   : ('cmmi10', 0x27),
+    '\\varrho'                   : ('cmmi10', 0x25),
+    '\\varsigma'                 : ('cmmi10', 0x26),
+    '\\vartheta'                 : ('cmmi10', 0x23),
+    '\\wp'                       : ('cmmi10', 0x7d),
+    '\\xi'                       : ('cmmi10', 0xbb),
+    '\\zeta'                     : ('cmmi10', 0xb3),
 
-    r'\leftarrow'                : ('cmsy10',  10),
-    '\\uparrow'                  : ('cmsy10',  25),
-    r'\downarrow'                : ('cmsy10',  28),
-    r'\leftrightarrow'           : ('cmsy10',  24),
-    r'\nearrow'                  : ('cmsy10',  99),
-    r'\searrow'                  : ('cmsy10',  57),
-    r'\simeq'                    : ('cmsy10', 108),
-    r'\Leftarrow'                : ('cmsy10', 104),
-    r'\Rightarrow'               : ('cmsy10', 112),
-    '\\Uparrow'                  : ('cmsy10',  60),
-    r'\Downarrow'                : ('cmsy10',  68),
-    r'\Leftrightarrow'           : ('cmsy10',  51),
-    r'\nwarrow'                  : ('cmsy10',  65),
-    r'\swarrow'                  : ('cmsy10', 116),
-    r'\propto'                   : ('cmsy10',  15),
-    r'\infty'                    : ('cmsy10',  32),
-    r'\in'                       : ('cmsy10',  59),
-    r'\ni'                       : ('cmsy10', 122),
-    r'\bigtriangleup'            : ('cmsy10',  80),
-    r'\bigtriangledown'          : ('cmsy10', 132),
-    r'\slash'                    : ('cmsy10',  87),
-    r'\forall'                   : ('cmsy10',  21),
-    r'\exists'                   : ('cmsy10',   5),
-    r'\neg'                      : ('cmsy10',  20),
-    r'\emptyset'                 : ('cmsy10',  33),
-    r'\Re'                       : ('cmsy10',  95),
-    r'\Im'                       : ('cmsy10',  52),
-    r'\top'                      : ('cmsy10', 100),
-    r'\bot'                      : ('cmsy10',  11),
-    r'\aleph'                    : ('cmsy10',  26),
-    r'\cup'                      : ('cmsy10',   6),
-    r'\cap'                      : ('cmsy10',  19),
-    '\\uplus'                    : ('cmsy10',  58),
-    r'\wedge'                    : ('cmsy10',  43),
-    r'\vee'                      : ('cmsy10',  96),
-    r'\vdash'                    : ('cmsy10', 109),
-    r'\dashv'                    : ('cmsy10',  66),
-    r'\lfloor'                   : ('cmsy10', 117),
-    r'\rfloor'                   : ('cmsy10',  74),
-    r'\lceil'                    : ('cmsy10', 123),
-    r'\rceil'                    : ('cmsy10',  81),
-    r'\lbrace'                   : ('cmsy10',  92),
-    r'\rbrace'                   : ('cmsy10', 105),
-    r'\mid'                      : ('cmsy10',  47),
-    r'\vert'                     : ('cmsy10',  47),
-    r'\Vert'                     : ('cmsy10',  44),
-    '\\updownarrow'              : ('cmsy10',  94),
-    '\\Updownarrow'              : ('cmsy10',  53),
-    r'\backslash'                : ('cmsy10', 126),
-    r'\wr'                       : ('cmsy10', 101),
-    r'\nabla'                    : ('cmsy10', 110),
-    r'\sqcup'                    : ('cmsy10',  67),
-    r'\sqcap'                    : ('cmsy10', 118),
-    r'\sqsubseteq'               : ('cmsy10',  75),
-    r'\sqsupseteq'               : ('cmsy10', 124),
-    r'\S'                        : ('cmsy10', 129),
-    r'\dag'                      : ('cmsy10',  71),
-    r'\ddag'                     : ('cmsy10', 127),
-    r'\P'                        : ('cmsy10', 130),
-    r'\clubsuit'                 : ('cmsy10',  18),
-    r'\diamondsuit'              : ('cmsy10',  34),
-    r'\heartsuit'                : ('cmsy10',  22),
-    r'-'                         : ('cmsy10',  17),
-    r'\cdot'                     : ('cmsy10',  78),
-    r'\times'                    : ('cmsy10',  13),
-    r'*'                         : ('cmsy10',   9),
-    r'\ast'                      : ('cmsy10',   9),
-    r'\div'                      : ('cmsy10',  31),
-    r'\diamond'                  : ('cmsy10',  48),
-    r'\pm'                       : ('cmsy10',   8),
-    r'\mp'                       : ('cmsy10',  98),
-    r'\oplus'                    : ('cmsy10',  16),
-    r'\ominus'                   : ('cmsy10',  56),
-    r'\otimes'                   : ('cmsy10',  30),
-    r'\oslash'                   : ('cmsy10', 107),
-    r'\odot'                     : ('cmsy10',  64),
-    r'\bigcirc'                  : ('cmsy10', 115),
-    r'\circ'                     : ('cmsy10',  72),
-    r'\bullet'                   : ('cmsy10',  84),
-    r'\asymp'                    : ('cmsy10', 121),
-    r'\equiv'                    : ('cmsy10',  35),
-    r'\subseteq'                 : ('cmsy10', 103),
-    r'\supseteq'                 : ('cmsy10',  42),
-    r'\leq'                      : ('cmsy10',  14),
-    r'\geq'                      : ('cmsy10',  29),
-    r'\preceq'                   : ('cmsy10',  79),
-    r'\succeq'                   : ('cmsy10', 131),
-    r'\sim'                      : ('cmsy10',  27),
-    r'\approx'                   : ('cmsy10',  23),
-    r'\subset'                   : ('cmsy10',  50),
-    r'\supset'                   : ('cmsy10',  86),
-    r'\ll'                       : ('cmsy10',  85),
-    r'\gg'                       : ('cmsy10',  40),
-    r'\prec'                     : ('cmsy10',  93),
-    r'\succ'                     : ('cmsy10',  49),
-    r'\rightarrow'               : ('cmsy10',  12),
-    r'\to'                       : ('cmsy10',  12),
-    r'\spadesuit'                : ('cmsy10',   7),
-    r'?'                         : ('cmr10',   50),
-    r'!'                         : ('cmr10',   29),
-    r'&'                         : ('cmr10',  109)
-}
-
-latex_to_cmex = {
-    r'\__sqrt__'   : 112,
-    r'\bigcap'     : 92,
-    r'\bigcup'     : 91,
-    r'\bigodot'    : 75,
-    r'\bigoplus'   : 77,
-    r'\bigotimes'  : 79,
-    r'\biguplus'   : 93,
-    r'\bigvee'     : 95,
-    r'\bigwedge'   : 94,
-    r'\coprod'     : 97,
-    r'\int'        : 90,
-    r'\leftangle'  : 173,
-    r'\leftbrace'  : 169,
-    r'\oint'       : 73,
-    r'\prod'       : 89,
-    r'\rightangle' : 174,
-    r'\rightbrace' : 170,
-    r'\sum'        : 88,
-    r'\widehat'    : 98,
-    r'\widetilde'  : 101,
-}
+    '!'                          : ('cmr10', 0x21),
+    '%'                          : ('cmr10', 0x25),
+    '&'                          : ('cmr10', 0x26),
+    '('                          : ('cmr10', 0x28),
+    ')'                          : ('cmr10', 0x29),
+    '+'                          : ('cmr10', 0x2b),
+    '0'                          : ('cmr10', 0x30),
+    '1'                          : ('cmr10', 0x31),
+    '2'                          : ('cmr10', 0x32),
+    '3'                          : ('cmr10', 0x33),
+    '4'                          : ('cmr10', 0x34),
+    '5'                          : ('cmr10', 0x35),
+    '6'                          : ('cmr10', 0x36),
+    '7'                          : ('cmr10', 0x37),
+    '8'                          : ('cmr10', 0x38),
+    '9'                          : ('cmr10', 0x39),
+    ':'                          : ('cmr10', 0x3a),
+    ';'                          : ('cmr10', 0x3b),
+    '='                          : ('cmr10', 0x3d),
+    '?'                          : ('cmr10', 0x3f),
+    '@'                          : ('cmr10', 0x40),
+    '['                          : ('cmr10', 0x5b),
+    '\\#'                        : ('cmr10', 0x23),
+    '\\$'                        : ('cmr10', 0x24),
+    '\\%'                        : ('cmr10', 0x25),
+    '\\Delta'                    : ('cmr10', 0xa2),
+    '\\Gamma'                    : ('cmr10', 0xa1),
+    '\\Lambda'                   : ('cmr10', 0xa4),
+    '\\Omega'                    : ('cmr10', 0xad),
+    '\\Phi'                      : ('cmr10', 0xa9),
+    '\\Pi'                       : ('cmr10', 0xa6),
+    '\\Psi'                      : ('cmr10', 0xaa),
+    '\\Sigma'                    : ('cmr10', 0xa7),
+    '\\Theta'                    : ('cmr10', 0xa3),
+    '\\Upsilon'                  : ('cmr10', 0xa8),
+    '\\Xi'                       : ('cmr10', 0xa5),
+    '\\circumflexaccent'         : ('cmr10', 0x5e),
+    '\\combiningacuteaccent'     : ('cmr10', 0xb6),
+    '\\combiningbreve'           : ('cmr10', 0xb8),
+    '\\combiningdiaeresis'       : ('cmr10', 0xc4),
+    '\\combiningdotabove'        : ('cmr10', 0x5f),
+    '\\combininggraveaccent'     : ('cmr10', 0xb5),
+    '\\combiningoverline'        : ('cmr10', 0xb9),
+    '\\combiningtilde'           : ('cmr10', 0x7e),
+    '\\leftbracket'              : ('cmr10', 0x5b),
+    '\\leftparen'                : ('cmr10', 0x28),
+    '\\rightbracket'             : ('cmr10', 0x5d),
+    '\\rightparen'               : ('cmr10', 0x29),
+    '\\widebar'                  : ('cmr10', 0xb9),
+    ']'                          : ('cmr10', 0x5d),
 
-latex_to_standard = {
-    r'\cong'                     : ('psyr', 64),
-    r'\Delta'                    : ('psyr', 68),
-    r'\Phi'                      : ('psyr', 70),
-    r'\Gamma'                    : ('psyr', 89),
-    r'\alpha'                    : ('psyr', 97),
-    r'\beta'                     : ('psyr', 98),
-    r'\chi'                      : ('psyr', 99),
-    r'\delta'                    : ('psyr', 100),
-    r'\varepsilon'               : ('psyr', 101),
-    r'\phi'                      : ('psyr', 102),
-    r'\gamma'                    : ('psyr', 103),
-    r'\eta'                      : ('psyr', 104),
-    r'\iota'                     : ('psyr', 105),
-    r'\varpsi'                   : ('psyr', 106),
-    r'\kappa'                    : ('psyr', 108),
-    r'\nu'                       : ('psyr', 110),
-    r'\pi'                       : ('psyr', 112),
-    r'\theta'                    : ('psyr', 113),
-    r'\rho'                      : ('psyr', 114),
-    r'\sigma'                    : ('psyr', 115),
-    r'\tau'                      : ('psyr', 116),
-    '\\upsilon'                  : ('psyr', 117),
-    r'\varpi'                    : ('psyr', 118),
-    r'\omega'                    : ('psyr', 119),
-    r'\xi'                       : ('psyr', 120),
-    r'\psi'                      : ('psyr', 121),
-    r'\zeta'                     : ('psyr', 122),
-    r'\sim'                      : ('psyr', 126),
-    r'\leq'                      : ('psyr', 163),
-    r'\infty'                    : ('psyr', 165),
-    r'\clubsuit'                 : ('psyr', 167),
-    r'\diamondsuit'              : ('psyr', 168),
-    r'\heartsuit'                : ('psyr', 169),
-    r'\spadesuit'                : ('psyr', 170),
-    r'\leftrightarrow'           : ('psyr', 171),
-    r'\leftarrow'                : ('psyr', 172),
-    '\\uparrow'                  : ('psyr', 173),
-    r'\rightarrow'               : ('psyr', 174),
-    r'\downarrow'                : ('psyr', 175),
-    r'\pm'                       : ('psyr', 176),
-    r'\geq'                      : ('psyr', 179),
-    r'\times'                    : ('psyr', 180),
-    r'\propto'                   : ('psyr', 181),
-    r'\partial'                  : ('psyr', 182),
-    r'\bullet'                   : ('psyr', 183),
-    r'\div'                      : ('psyr', 184),
-    r'\neq'                      : ('psyr', 185),
-    r'\equiv'                    : ('psyr', 186),
-    r'\approx'                   : ('psyr', 187),
-    r'\ldots'                    : ('psyr', 188),
-    r'\aleph'                    : ('psyr', 192),
-    r'\Im'                       : ('psyr', 193),
-    r'\Re'                       : ('psyr', 194),
-    r'\wp'                       : ('psyr', 195),
-    r'\otimes'                   : ('psyr', 196),
-    r'\oplus'                    : ('psyr', 197),
-    r'\oslash'                   : ('psyr', 198),
-    r'\cap'                      : ('psyr', 199),
-    r'\cup'                      : ('psyr', 200),
-    r'\supset'                   : ('psyr', 201),
-    r'\supseteq'                 : ('psyr', 202),
-    r'\subset'                   : ('psyr', 204),
-    r'\subseteq'                 : ('psyr', 205),
-    r'\in'                       : ('psyr', 206),
-    r'\notin'                    : ('psyr', 207),
-    r'\angle'                    : ('psyr', 208),
-    r'\nabla'                    : ('psyr', 209),
-    r'\textregistered'           : ('psyr', 210),
-    r'\copyright'                : ('psyr', 211),
-    r'\texttrademark'            : ('psyr', 212),
-    r'\Pi'                       : ('psyr', 213),
-    r'\prod'                     : ('psyr', 213),
-    r'\surd'                     : ('psyr', 214),
-    r'\__sqrt__'                 : ('psyr', 214),
-    r'\cdot'                     : ('psyr', 215),
-    '\\urcorner'                 : ('psyr', 216),
-    r'\vee'                      : ('psyr', 217),
-    r'\wedge'                    : ('psyr', 218),
-    r'\Leftrightarrow'           : ('psyr', 219),
-    r'\Leftarrow'                : ('psyr', 220),
-    '\\Uparrow'                  : ('psyr', 221),
-    r'\Rightarrow'               : ('psyr', 222),
-    r'\Downarrow'                : ('psyr', 223),
-    r'\Diamond'                  : ('psyr', 224),
-    r'\langle'                   : ('psyr', 225),
-    r'\Sigma'                    : ('psyr', 229),
-    r'\sum'                      : ('psyr', 229),
-    r'\forall'                   : ('psyr',  34),
-    r'\exists'                   : ('psyr',  36),
-    r'\lceil'                    : ('psyr', 233),
-    r'\lbrace'                   : ('psyr', 123),
-    r'\Psi'                      : ('psyr',  89),
-    r'\bot'                      : ('psyr', 0o136),
-    r'\Omega'                    : ('psyr', 0o127),
-    r'\leftbracket'              : ('psyr', 0o133),
-    r'\rightbracket'             : ('psyr', 0o135),
-    r'\leftbrace'                : ('psyr', 123),
-    r'\leftparen'                : ('psyr', 0o50),
-    r'\prime'                    : ('psyr', 0o242),
-    r'\sharp'                    : ('psyr', 0o43),
-    r'\slash'                    : ('psyr', 0o57),
-    r'\Lamda'                    : ('psyr', 0o114),
-    r'\neg'                      : ('psyr', 0o330),
-    '\\Upsilon'                  : ('psyr', 0o241),
-    r'\rightbrace'               : ('psyr', 0o175),
-    r'\rfloor'                   : ('psyr', 0o373),
-    r'\lambda'                   : ('psyr', 0o154),
-    r'\to'                       : ('psyr', 0o256),
-    r'\Xi'                       : ('psyr', 0o130),
-    r'\emptyset'                 : ('psyr', 0o306),
-    r'\lfloor'                   : ('psyr', 0o353),
-    r'\rightparen'               : ('psyr', 0o51),
-    r'\rceil'                    : ('psyr', 0o371),
-    r'\ni'                       : ('psyr', 0o47),
-    r'\epsilon'                  : ('psyr', 0o145),
-    r'\Theta'                    : ('psyr', 0o121),
-    r'\langle'                   : ('psyr', 0o341),
-    r'\leftangle'                : ('psyr', 0o341),
-    r'\rangle'                   : ('psyr', 0o361),
-    r'\rightangle'               : ('psyr', 0o361),
-    r'\rbrace'                   : ('psyr', 0o175),
-    r'\circ'                     : ('psyr', 0o260),
-    r'\diamond'                  : ('psyr', 0o340),
-    r'\mu'                       : ('psyr', 0o155),
-    r'\mid'                      : ('psyr', 0o352),
-    r'\imath'                    : ('pncri8a', 105),
-    r'\%'                        : ('pncr8a',  37),
-    r'\$'                        : ('pncr8a',  36),
-    r'\{'                        : ('pncr8a', 123),
-    r'\}'                        : ('pncr8a', 125),
-    r'\backslash'                : ('pncr8a',  92),
-    r'\ast'                      : ('pncr8a',  42),
-    r'\#'                        : ('pncr8a',  35),
+    '*'                          : ('cmsy10', 0xa4),
+    '\N{MINUS SIGN}'             : ('cmsy10', 0xa1),
+    '\\Downarrow'                : ('cmsy10', 0x2b),
+    '\\Im'                       : ('cmsy10', 0x3d),
+    '\\Leftarrow'                : ('cmsy10', 0x28),
+    '\\Leftrightarrow'           : ('cmsy10', 0x2c),
+    '\\P'                        : ('cmsy10', 0x7b),
+    '\\Re'                       : ('cmsy10', 0x3c),
+    '\\Rightarrow'               : ('cmsy10', 0x29),
+    '\\S'                        : ('cmsy10', 0x78),
+    '\\Uparrow'                  : ('cmsy10', 0x2a),
+    '\\Updownarrow'              : ('cmsy10', 0x6d),
+    '\\Vert'                     : ('cmsy10', 0x6b),
+    '\\aleph'                    : ('cmsy10', 0x40),
+    '\\approx'                   : ('cmsy10', 0xbc),
+    '\\ast'                      : ('cmsy10', 0xa4),
+    '\\asymp'                    : ('cmsy10', 0xb3),
+    '\\backslash'                : ('cmsy10', 0x6e),
+    '\\bigcirc'                  : ('cmsy10', 0xb0),
+    '\\bigtriangledown'          : ('cmsy10', 0x35),
+    '\\bigtriangleup'            : ('cmsy10', 0x34),
+    '\\bot'                      : ('cmsy10', 0x3f),
+    '\\bullet'                   : ('cmsy10', 0xb2),
+    '\\cap'                      : ('cmsy10', 0x5c),
+    '\\cdot'                     : ('cmsy10', 0xa2),
+    '\\circ'                     : ('cmsy10', 0xb1),
+    '\\clubsuit'                 : ('cmsy10', 0x7c),
+    '\\cup'                      : ('cmsy10', 0x5b),
+    '\\dag'                      : ('cmsy10', 0x79),
+    '\\dashv'                    : ('cmsy10', 0x61),
+    '\\ddag'                     : ('cmsy10', 0x7a),
+    '\\diamond'                  : ('cmsy10', 0xa6),
+    '\\diamondsuit'              : ('cmsy10', 0x7d),
+    '\\div'                      : ('cmsy10', 0xa5),
+    '\\downarrow'                : ('cmsy10', 0x23),
+    '\\emptyset'                 : ('cmsy10', 0x3b),
+    '\\equiv'                    : ('cmsy10', 0xb4),
+    '\\exists'                   : ('cmsy10', 0x39),
+    '\\forall'                   : ('cmsy10', 0x38),
+    '\\geq'                      : ('cmsy10', 0xb8),
+    '\\gg'                       : ('cmsy10', 0xc0),
+    '\\heartsuit'                : ('cmsy10', 0x7e),
+    '\\in'                       : ('cmsy10', 0x32),
+    '\\infty'                    : ('cmsy10', 0x31),
+    '\\lbrace'                   : ('cmsy10', 0x66),
+    '\\lceil'                    : ('cmsy10', 0x64),
+    '\\leftarrow'                : ('cmsy10', 0xc3),
+    '\\leftrightarrow'           : ('cmsy10', 0x24),
+    '\\leq'                      : ('cmsy10', 0x2219),
+    '\\lfloor'                   : ('cmsy10', 0x62),
+    '\\ll'                       : ('cmsy10', 0xbf),
+    '\\mid'                      : ('cmsy10', 0x6a),
+    '\\mp'                       : ('cmsy10', 0xa8),
+    '\\nabla'                    : ('cmsy10', 0x72),
+    '\\nearrow'                  : ('cmsy10', 0x25),
+    '\\neg'                      : ('cmsy10', 0x3a),
+    '\\ni'                       : ('cmsy10', 0x33),
+    '\\nwarrow'                  : ('cmsy10', 0x2d),
+    '\\odot'                     : ('cmsy10', 0xaf),
+    '\\ominus'                   : ('cmsy10', 0xaa),
+    '\\oplus'                    : ('cmsy10', 0xa9),
+    '\\oslash'                   : ('cmsy10', 0xae),
+    '\\otimes'                   : ('cmsy10', 0xad),
+    '\\pm'                       : ('cmsy10', 0xa7),
+    '\\prec'                     : ('cmsy10', 0xc1),
+    '\\preceq'                   : ('cmsy10', 0xb9),
+    '\\prime'                    : ('cmsy10', 0x30),
+    '\\propto'                   : ('cmsy10', 0x2f),
+    '\\rbrace'                   : ('cmsy10', 0x67),
+    '\\rceil'                    : ('cmsy10', 0x65),
+    '\\rfloor'                   : ('cmsy10', 0x63),
+    '\\rightarrow'               : ('cmsy10', 0x21),
+    '\\searrow'                  : ('cmsy10', 0x26),
+    '\\sim'                      : ('cmsy10', 0xbb),
+    '\\simeq'                    : ('cmsy10', 0x27),
+    '\\slash'                    : ('cmsy10', 0x36),
+    '\\spadesuit'                : ('cmsy10', 0xc4),
+    '\\sqcap'                    : ('cmsy10', 0x75),
+    '\\sqcup'                    : ('cmsy10', 0x74),
+    '\\sqsubseteq'               : ('cmsy10', 0x76),
+    '\\sqsupseteq'               : ('cmsy10', 0x77),
+    '\\subset'                   : ('cmsy10', 0xbd),
+    '\\subseteq'                 : ('cmsy10', 0xb5),
+    '\\succ'                     : ('cmsy10', 0xc2),
+    '\\succeq'                   : ('cmsy10', 0xba),
+    '\\supset'                   : ('cmsy10', 0xbe),
+    '\\supseteq'                 : ('cmsy10', 0xb6),
+    '\\swarrow'                  : ('cmsy10', 0x2e),
+    '\\times'                    : ('cmsy10', 0xa3),
+    '\\to'                       : ('cmsy10', 0x21),
+    '\\top'                      : ('cmsy10', 0x3e),
+    '\\uparrow'                  : ('cmsy10', 0x22),
+    '\\updownarrow'              : ('cmsy10', 0x6c),
+    '\\uplus'                    : ('cmsy10', 0x5d),
+    '\\vdash'                    : ('cmsy10', 0x60),
+    '\\vee'                      : ('cmsy10', 0x5f),
+    '\\vert'                     : ('cmsy10', 0x6a),
+    '\\wedge'                    : ('cmsy10', 0x5e),
+    '\\wr'                       : ('cmsy10', 0x6f),
+    '\\|'                        : ('cmsy10', 0x6b),
+    '|'                          : ('cmsy10', 0x6a),
 
-    r'\circumflexaccent'         : ('pncri8a',   124), # for \hat
-    r'\combiningbreve'           : ('pncri8a',   81),  # for \breve
-    r'\combininggraveaccent'     : ('pncri8a', 114), # for \grave
-    r'\combiningacuteaccent'     : ('pncri8a', 63), # for \accute
-    r'\combiningdiaeresis'       : ('pncri8a', 91), # for \ddot
-    r'\combiningtilde'           : ('pncri8a', 75), # for \tilde
-    r'\combiningrightarrowabove' : ('pncri8a', 110), # for \vec
-    r'\combiningdotabove'        : ('pncri8a', 26), # for \dot
+    '\\_'                        : ('cmtt10', 0x5f)
 }
 
 # Automatically generated.
 
 type12uni = {
-    'uni24C8'        : 9416,
     'aring'          : 229,
-    'uni22A0'        : 8864,
-    'uni2292'        : 8850,
     'quotedblright'  : 8221,
-    'uni03D2'        : 978,
-    'uni2215'        : 8725,
-    'uni03D0'        : 976,
     'V'              : 86,
     'dollar'         : 36,
-    'uni301E'        : 12318,
-    'uni03D5'        : 981,
     'four'           : 52,
-    'uni25A0'        : 9632,
-    'uni013C'        : 316,
-    'uni013B'        : 315,
-    'uni013E'        : 318,
     'Yacute'         : 221,
-    'uni25DE'        : 9694,
-    'uni013F'        : 319,
-    'uni255A'        : 9562,
-    'uni2606'        : 9734,
-    'uni0180'        : 384,
-    'uni22B7'        : 8887,
-    'uni044F'        : 1103,
-    'uni22B5'        : 8885,
-    'uni22B4'        : 8884,
-    'uni22AE'        : 8878,
-    'uni22B2'        : 8882,
-    'uni22B1'        : 8881,
-    'uni22B0'        : 8880,
-    'uni25CD'        : 9677,
-    'uni03CE'        : 974,
-    'uni03CD'        : 973,
-    'uni03CC'        : 972,
-    'uni03CB'        : 971,
-    'uni03CA'        : 970,
-    'uni22B8'        : 8888,
-    'uni22C9'        : 8905,
-    'uni0449'        : 1097,
-    'uni20DD'        : 8413,
-    'uni20DC'        : 8412,
-    'uni20DB'        : 8411,
-    'uni2231'        : 8753,
-    'uni25CF'        : 9679,
-    'uni306E'        : 12398,
-    'uni03D1'        : 977,
-    'uni01A1'        : 417,
-    'uni20D7'        : 8407,
-    'uni03D6'        : 982,
-    'uni2233'        : 8755,
-    'uni20D2'        : 8402,
-    'uni20D1'        : 8401,
-    'uni20D0'        : 8400,
     'P'              : 80,
-    'uni22BE'        : 8894,
-    'uni22BD'        : 8893,
-    'uni22BC'        : 8892,
-    'uni22BB'        : 8891,
     'underscore'     : 95,
-    'uni03C8'        : 968,
-    'uni03C7'        : 967,
-    'uni0328'        : 808,
-    'uni03C5'        : 965,
-    'uni03C4'        : 964,
-    'uni03C3'        : 963,
-    'uni03C2'        : 962,
-    'uni03C1'        : 961,
-    'uni03C0'        : 960,
-    'uni2010'        : 8208,
-    'uni0130'        : 304,
-    'uni0133'        : 307,
-    'uni0132'        : 306,
-    'uni0135'        : 309,
-    'uni0134'        : 308,
-    'uni0137'        : 311,
-    'uni0136'        : 310,
-    'uni0139'        : 313,
-    'uni0138'        : 312,
-    'uni2244'        : 8772,
-    'uni229A'        : 8858,
-    'uni2571'        : 9585,
-    'uni0278'        : 632,
-    'uni2239'        : 8761,
     'p'              : 112,
-    'uni3019'        : 12313,
-    'uni25CB'        : 9675,
-    'uni03DB'        : 987,
-    'uni03DC'        : 988,
-    'uni03DA'        : 986,
-    'uni03DF'        : 991,
-    'uni03DD'        : 989,
-    'uni013D'        : 317,
-    'uni220A'        : 8714,
-    'uni220C'        : 8716,
-    'uni220B'        : 8715,
-    'uni220E'        : 8718,
-    'uni220D'        : 8717,
-    'uni220F'        : 8719,
-    'uni22CC'        : 8908,
     'Otilde'         : 213,
-    'uni25E5'        : 9701,
-    'uni2736'        : 10038,
     'perthousand'    : 8240,
     'zero'           : 48,
-    'uni279B'        : 10139,
     'dotlessi'       : 305,
-    'uni2279'        : 8825,
     'Scaron'         : 352,
     'zcaron'         : 382,
-    'uni21D8'        : 8664,
     'egrave'         : 232,
-    'uni0271'        : 625,
-    'uni01AA'        : 426,
-    'uni2332'        : 9010,
     'section'        : 167,
-    'uni25E4'        : 9700,
     'Icircumflex'    : 206,
     'ntilde'         : 241,
-    'uni041E'        : 1054,
     'ampersand'      : 38,
-    'uni041C'        : 1052,
-    'uni041A'        : 1050,
-    'uni22AB'        : 8875,
-    'uni21DB'        : 8667,
     'dotaccent'      : 729,
-    'uni0416'        : 1046,
-    'uni0417'        : 1047,
-    'uni0414'        : 1044,
-    'uni0415'        : 1045,
-    'uni0412'        : 1042,
-    'uni0413'        : 1043,
     'degree'         : 176,
-    'uni0411'        : 1041,
     'K'              : 75,
-    'uni25EB'        : 9707,
-    'uni25EF'        : 9711,
-    'uni0418'        : 1048,
-    'uni0419'        : 1049,
-    'uni2263'        : 8803,
-    'uni226E'        : 8814,
-    'uni2251'        : 8785,
-    'uni02C8'        : 712,
-    'uni2262'        : 8802,
     'acircumflex'    : 226,
-    'uni22B3'        : 8883,
-    'uni2261'        : 8801,
-    'uni2394'        : 9108,
     'Aring'          : 197,
-    'uni2260'        : 8800,
-    'uni2254'        : 8788,
-    'uni0436'        : 1078,
-    'uni2267'        : 8807,
     'k'              : 107,
-    'uni22C8'        : 8904,
-    'uni226A'        : 8810,
-    'uni231F'        : 8991,
     'smalltilde'     : 732,
-    'uni2201'        : 8705,
-    'uni2200'        : 8704,
-    'uni2203'        : 8707,
-    'uni02BD'        : 701,
-    'uni2205'        : 8709,
-    'uni2204'        : 8708,
     'Agrave'         : 192,
-    'uni2206'        : 8710,
-    'uni2209'        : 8713,
-    'uni2208'        : 8712,
-    'uni226D'        : 8813,
-    'uni2264'        : 8804,
-    'uni263D'        : 9789,
-    'uni2258'        : 8792,
-    'uni02D3'        : 723,
-    'uni02D2'        : 722,
-    'uni02D1'        : 721,
-    'uni02D0'        : 720,
-    'uni25E1'        : 9697,
     'divide'         : 247,
-    'uni02D5'        : 725,
-    'uni02D4'        : 724,
     'ocircumflex'    : 244,
-    'uni2524'        : 9508,
-    'uni043A'        : 1082,
-    'uni24CC'        : 9420,
     'asciitilde'     : 126,
-    'uni22B9'        : 8889,
-    'uni24D2'        : 9426,
-    'uni211E'        : 8478,
-    'uni211D'        : 8477,
-    'uni24DD'        : 9437,
-    'uni211A'        : 8474,
-    'uni211C'        : 8476,
-    'uni211B'        : 8475,
-    'uni25C6'        : 9670,
-    'uni017F'        : 383,
-    'uni017A'        : 378,
-    'uni017C'        : 380,
-    'uni017B'        : 379,
-    'uni0346'        : 838,
-    'uni22F1'        : 8945,
-    'uni22F0'        : 8944,
     'two'            : 50,
-    'uni2298'        : 8856,
-    'uni24D1'        : 9425,
     'E'              : 69,
-    'uni025D'        : 605,
     'scaron'         : 353,
-    'uni2322'        : 8994,
-    'uni25E3'        : 9699,
-    'uni22BF'        : 8895,
     'F'              : 70,
-    'uni0440'        : 1088,
-    'uni255E'        : 9566,
-    'uni22BA'        : 8890,
-    'uni0175'        : 373,
-    'uni0174'        : 372,
-    'uni0177'        : 375,
-    'uni0176'        : 374,
     'bracketleft'    : 91,
-    'uni0170'        : 368,
-    'uni0173'        : 371,
-    'uni0172'        : 370,
     'asciicircum'    : 94,
-    'uni0179'        : 377,
-    'uni2590'        : 9616,
-    'uni25E2'        : 9698,
-    'uni2119'        : 8473,
-    'uni2118'        : 8472,
-    'uni25CC'        : 9676,
     'f'              : 102,
     'ordmasculine'   : 186,
-    'uni229B'        : 8859,
-    'uni22A1'        : 8865,
-    'uni2111'        : 8465,
-    'uni2110'        : 8464,
-    'uni2113'        : 8467,
-    'uni2112'        : 8466,
     'mu'             : 181,
-    'uni2281'        : 8833,
     'paragraph'      : 182,
     'nine'           : 57,
-    'uni25EC'        : 9708,
     'v'              : 118,
-    'uni040C'        : 1036,
-    'uni0113'        : 275,
-    'uni22D0'        : 8912,
-    'uni21CC'        : 8652,
-    'uni21CB'        : 8651,
-    'uni21CA'        : 8650,
-    'uni22A5'        : 8869,
-    'uni21CF'        : 8655,
-    'uni21CE'        : 8654,
-    'uni21CD'        : 8653,
     'guilsinglleft'  : 8249,
     'backslash'      : 92,
-    'uni2284'        : 8836,
-    'uni224E'        : 8782,
-    'uni224D'        : 8781,
-    'uni224F'        : 8783,
-    'uni224A'        : 8778,
-    'uni2287'        : 8839,
-    'uni224C'        : 8780,
-    'uni224B'        : 8779,
-    'uni21BD'        : 8637,
-    'uni2286'        : 8838,
-    'uni030F'        : 783,
-    'uni030D'        : 781,
-    'uni030E'        : 782,
-    'uni030B'        : 779,
-    'uni030C'        : 780,
-    'uni030A'        : 778,
-    'uni026E'        : 622,
-    'uni026D'        : 621,
     'six'            : 54,
-    'uni026A'        : 618,
-    'uni026C'        : 620,
-    'uni25C1'        : 9665,
-    'uni20D6'        : 8406,
-    'uni045B'        : 1115,
-    'uni045C'        : 1116,
-    'uni256B'        : 9579,
-    'uni045A'        : 1114,
-    'uni045F'        : 1119,
-    'uni045E'        : 1118,
     'A'              : 65,
-    'uni2569'        : 9577,
-    'uni0458'        : 1112,
-    'uni0459'        : 1113,
-    'uni0452'        : 1106,
-    'uni0453'        : 1107,
-    'uni2562'        : 9570,
-    'uni0451'        : 1105,
-    'uni0456'        : 1110,
-    'uni0457'        : 1111,
-    'uni0454'        : 1108,
-    'uni0455'        : 1109,
     'icircumflex'    : 238,
-    'uni0307'        : 775,
-    'uni0304'        : 772,
-    'uni0305'        : 773,
-    'uni0269'        : 617,
-    'uni0268'        : 616,
-    'uni0300'        : 768,
-    'uni0301'        : 769,
-    'uni0265'        : 613,
-    'uni0264'        : 612,
-    'uni0267'        : 615,
-    'uni0266'        : 614,
-    'uni0261'        : 609,
-    'uni0260'        : 608,
-    'uni0263'        : 611,
-    'uni0262'        : 610,
     'a'              : 97,
-    'uni2207'        : 8711,
-    'uni2247'        : 8775,
-    'uni2246'        : 8774,
-    'uni2241'        : 8769,
-    'uni2240'        : 8768,
-    'uni2243'        : 8771,
-    'uni2242'        : 8770,
-    'uni2312'        : 8978,
     'ogonek'         : 731,
-    'uni2249'        : 8777,
-    'uni2248'        : 8776,
-    'uni3030'        : 12336,
     'q'              : 113,
-    'uni21C2'        : 8642,
-    'uni21C1'        : 8641,
-    'uni21C0'        : 8640,
-    'uni21C7'        : 8647,
-    'uni21C6'        : 8646,
-    'uni21C5'        : 8645,
-    'uni21C4'        : 8644,
-    'uni225F'        : 8799,
-    'uni212C'        : 8492,
-    'uni21C8'        : 8648,
-    'uni2467'        : 9319,
     'oacute'         : 243,
-    'uni028F'        : 655,
-    'uni028E'        : 654,
-    'uni026F'        : 623,
-    'uni028C'        : 652,
-    'uni028B'        : 651,
-    'uni028A'        : 650,
-    'uni2510'        : 9488,
     'ograve'         : 242,
     'edieresis'      : 235,
-    'uni22CE'        : 8910,
-    'uni22CF'        : 8911,
-    'uni219F'        : 8607,
     'comma'          : 44,
-    'uni22CA'        : 8906,
-    'uni0429'        : 1065,
-    'uni03C6'        : 966,
-    'uni0427'        : 1063,
-    'uni0426'        : 1062,
-    'uni0425'        : 1061,
-    'uni0424'        : 1060,
-    'uni0423'        : 1059,
-    'uni0422'        : 1058,
-    'uni0421'        : 1057,
-    'uni0420'        : 1056,
-    'uni2465'        : 9317,
-    'uni24D0'        : 9424,
-    'uni2464'        : 9316,
-    'uni0430'        : 1072,
     'otilde'         : 245,
-    'uni2661'        : 9825,
-    'uni24D6'        : 9430,
-    'uni2466'        : 9318,
-    'uni24D5'        : 9429,
-    'uni219A'        : 8602,
-    'uni2518'        : 9496,
-    'uni22B6'        : 8886,
-    'uni2461'        : 9313,
-    'uni24D4'        : 9428,
-    'uni2460'        : 9312,
-    'uni24EA'        : 9450,
     'guillemotright' : 187,
     'ecircumflex'    : 234,
     'greater'        : 62,
-    'uni2011'        : 8209,
     'uacute'         : 250,
-    'uni2462'        : 9314,
     'L'              : 76,
     'bullet'         : 8226,
-    'uni02A4'        : 676,
-    'uni02A7'        : 679,
     'cedilla'        : 184,
-    'uni02A2'        : 674,
-    'uni2015'        : 8213,
-    'uni22C4'        : 8900,
-    'uni22C5'        : 8901,
-    'uni22AD'        : 8877,
-    'uni22C7'        : 8903,
-    'uni22C0'        : 8896,
-    'uni2016'        : 8214,
-    'uni22C2'        : 8898,
-    'uni22C3'        : 8899,
-    'uni24CF'        : 9423,
-    'uni042F'        : 1071,
-    'uni042E'        : 1070,
-    'uni042D'        : 1069,
     'ydieresis'      : 255,
     'l'              : 108,
     'logicalnot'     : 172,
-    'uni24CA'        : 9418,
-    'uni0287'        : 647,
-    'uni0286'        : 646,
-    'uni0285'        : 645,
-    'uni0284'        : 644,
-    'uni0283'        : 643,
-    'uni0282'        : 642,
-    'uni0281'        : 641,
-    'uni027C'        : 636,
-    'uni2664'        : 9828,
     'exclamdown'     : 161,
-    'uni25C4'        : 9668,
-    'uni0289'        : 649,
-    'uni0288'        : 648,
-    'uni039A'        : 922,
     'endash'         : 8211,
-    'uni2640'        : 9792,
-    'uni20E4'        : 8420,
-    'uni0473'        : 1139,
-    'uni20E1'        : 8417,
-    'uni2642'        : 9794,
-    'uni03B8'        : 952,
-    'uni03B9'        : 953,
     'agrave'         : 224,
-    'uni03B4'        : 948,
-    'uni03B5'        : 949,
-    'uni03B6'        : 950,
-    'uni03B7'        : 951,
-    'uni03B0'        : 944,
-    'uni03B1'        : 945,
-    'uni03B2'        : 946,
-    'uni03B3'        : 947,
-    'uni2555'        : 9557,
     'Adieresis'      : 196,
     'germandbls'     : 223,
     'Odieresis'      : 214,
     'space'          : 32,
-    'uni0126'        : 294,
-    'uni0127'        : 295,
-    'uni0124'        : 292,
-    'uni0125'        : 293,
-    'uni0122'        : 290,
-    'uni0123'        : 291,
-    'uni0120'        : 288,
-    'uni0121'        : 289,
     'quoteright'     : 8217,
-    'uni2560'        : 9568,
-    'uni2556'        : 9558,
     'ucircumflex'    : 251,
-    'uni2561'        : 9569,
-    'uni2551'        : 9553,
-    'uni25B2'        : 9650,
-    'uni2550'        : 9552,
-    'uni2563'        : 9571,
-    'uni2553'        : 9555,
     'G'              : 71,
-    'uni2564'        : 9572,
-    'uni2552'        : 9554,
     'quoteleft'      : 8216,
-    'uni2565'        : 9573,
-    'uni2572'        : 9586,
-    'uni2568'        : 9576,
-    'uni2566'        : 9574,
     'W'              : 87,
-    'uni214A'        : 8522,
-    'uni012F'        : 303,
-    'uni012D'        : 301,
-    'uni012E'        : 302,
-    'uni012B'        : 299,
-    'uni012C'        : 300,
-    'uni255C'        : 9564,
-    'uni012A'        : 298,
-    'uni2289'        : 8841,
     'Q'              : 81,
-    'uni2320'        : 8992,
-    'uni2321'        : 8993,
     'g'              : 103,
-    'uni03BD'        : 957,
-    'uni03BE'        : 958,
-    'uni03BF'        : 959,
-    'uni2282'        : 8834,
-    'uni2285'        : 8837,
-    'uni03BA'        : 954,
-    'uni03BB'        : 955,
-    'uni03BC'        : 956,
-    'uni2128'        : 8488,
-    'uni25B7'        : 9655,
     'w'              : 119,
-    'uni0302'        : 770,
-    'uni03DE'        : 990,
-    'uni25DA'        : 9690,
-    'uni0303'        : 771,
-    'uni0463'        : 1123,
-    'uni0462'        : 1122,
-    'uni3018'        : 12312,
-    'uni2514'        : 9492,
     'question'       : 63,
-    'uni25B3'        : 9651,
-    'uni24E1'        : 9441,
     'one'            : 49,
-    'uni200A'        : 8202,
-    'uni2278'        : 8824,
     'ring'           : 730,
-    'uni0195'        : 405,
     'figuredash'     : 8210,
-    'uni22EC'        : 8940,
-    'uni0339'        : 825,
-    'uni0338'        : 824,
-    'uni0337'        : 823,
-    'uni0336'        : 822,
-    'uni0335'        : 821,
-    'uni0333'        : 819,
-    'uni0332'        : 818,
-    'uni0331'        : 817,
-    'uni0330'        : 816,
-    'uni01C1'        : 449,
-    'uni01C0'        : 448,
-    'uni01C3'        : 451,
-    'uni01C2'        : 450,
-    'uni2353'        : 9043,
-    'uni0308'        : 776,
-    'uni2218'        : 8728,
-    'uni2219'        : 8729,
-    'uni2216'        : 8726,
-    'uni2217'        : 8727,
-    'uni2214'        : 8724,
-    'uni0309'        : 777,
-    'uni2609'        : 9737,
-    'uni2213'        : 8723,
-    'uni2210'        : 8720,
-    'uni2211'        : 8721,
-    'uni2245'        : 8773,
     'B'              : 66,
-    'uni25D6'        : 9686,
     'iacute'         : 237,
-    'uni02E6'        : 742,
-    'uni02E7'        : 743,
-    'uni02E8'        : 744,
-    'uni02E9'        : 745,
-    'uni221D'        : 8733,
-    'uni221E'        : 8734,
     'Ydieresis'      : 376,
-    'uni221C'        : 8732,
-    'uni22D7'        : 8919,
-    'uni221A'        : 8730,
     'R'              : 82,
-    'uni24DC'        : 9436,
-    'uni033F'        : 831,
-    'uni033E'        : 830,
-    'uni033C'        : 828,
-    'uni033B'        : 827,
-    'uni033A'        : 826,
     'b'              : 98,
-    'uni228A'        : 8842,
-    'uni22DB'        : 8923,
-    'uni2554'        : 9556,
-    'uni046B'        : 1131,
-    'uni046A'        : 1130,
     'r'              : 114,
-    'uni24DB'        : 9435,
     'Ccedilla'       : 199,
     'minus'          : 8722,
-    'uni24DA'        : 9434,
-    'uni03F0'        : 1008,
-    'uni03F1'        : 1009,
-    'uni20AC'        : 8364,
-    'uni2276'        : 8822,
-    'uni24C0'        : 9408,
-    'uni0162'        : 354,
-    'uni0163'        : 355,
-    'uni011E'        : 286,
-    'uni011D'        : 285,
-    'uni011C'        : 284,
-    'uni011B'        : 283,
-    'uni0164'        : 356,
-    'uni0165'        : 357,
     'Lslash'         : 321,
-    'uni0168'        : 360,
-    'uni0169'        : 361,
-    'uni25C9'        : 9673,
-    'uni02E5'        : 741,
-    'uni21C3'        : 8643,
-    'uni24C4'        : 9412,
-    'uni24E2'        : 9442,
-    'uni2277'        : 8823,
-    'uni013A'        : 314,
-    'uni2102'        : 8450,
     'Uacute'         : 218,
-    'uni2317'        : 8983,
-    'uni2107'        : 8455,
-    'uni221F'        : 8735,
     'yacute'         : 253,
-    'uni3012'        : 12306,
     'Ucircumflex'    : 219,
-    'uni015D'        : 349,
     'quotedbl'       : 34,
-    'uni25D9'        : 9689,
-    'uni2280'        : 8832,
-    'uni22AF'        : 8879,
     'onehalf'        : 189,
-    'uni221B'        : 8731,
     'Thorn'          : 222,
-    'uni2226'        : 8742,
     'M'              : 77,
-    'uni25BA'        : 9658,
-    'uni2463'        : 9315,
-    'uni2336'        : 9014,
     'eight'          : 56,
-    'uni2236'        : 8758,
     'multiply'       : 215,
-    'uni210C'        : 8460,
-    'uni210A'        : 8458,
-    'uni21C9'        : 8649,
     'grave'          : 96,
-    'uni210E'        : 8462,
-    'uni0117'        : 279,
-    'uni016C'        : 364,
-    'uni0115'        : 277,
-    'uni016A'        : 362,
-    'uni016F'        : 367,
-    'uni0112'        : 274,
-    'uni016D'        : 365,
-    'uni016E'        : 366,
     'Ocircumflex'    : 212,
-    'uni2305'        : 8965,
     'm'              : 109,
-    'uni24DF'        : 9439,
-    'uni0119'        : 281,
-    'uni0118'        : 280,
-    'uni20A3'        : 8355,
-    'uni20A4'        : 8356,
-    'uni20A7'        : 8359,
-    'uni2288'        : 8840,
-    'uni24C3'        : 9411,
-    'uni251C'        : 9500,
-    'uni228D'        : 8845,
-    'uni222F'        : 8751,
-    'uni222E'        : 8750,
-    'uni222D'        : 8749,
-    'uni222C'        : 8748,
-    'uni222B'        : 8747,
-    'uni222A'        : 8746,
-    'uni255B'        : 9563,
     'Ugrave'         : 217,
-    'uni24DE'        : 9438,
     'guilsinglright' : 8250,
-    'uni250A'        : 9482,
     'Ntilde'         : 209,
-    'uni0279'        : 633,
     'questiondown'   : 191,
-    'uni256C'        : 9580,
     'Atilde'         : 195,
-    'uni0272'        : 626,
-    'uni0273'        : 627,
-    'uni0270'        : 624,
     'ccedilla'       : 231,
-    'uni0276'        : 630,
-    'uni0277'        : 631,
-    'uni0274'        : 628,
-    'uni0275'        : 629,
-    'uni2252'        : 8786,
-    'uni041F'        : 1055,
-    'uni2250'        : 8784,
     'Z'              : 90,
-    'uni2256'        : 8790,
-    'uni2257'        : 8791,
     'copyright'      : 169,
-    'uni2255'        : 8789,
-    'uni043D'        : 1085,
-    'uni043E'        : 1086,
-    'uni043F'        : 1087,
     'yen'            : 165,
-    'uni041D'        : 1053,
-    'uni043B'        : 1083,
-    'uni043C'        : 1084,
-    'uni21B0'        : 8624,
-    'uni21B1'        : 8625,
-    'uni21B2'        : 8626,
-    'uni21B3'        : 8627,
-    'uni21B4'        : 8628,
-    'uni21B5'        : 8629,
-    'uni21B6'        : 8630,
-    'uni21B7'        : 8631,
-    'uni21B8'        : 8632,
     'Eacute'         : 201,
-    'uni2311'        : 8977,
-    'uni2310'        : 8976,
-    'uni228F'        : 8847,
-    'uni25DB'        : 9691,
-    'uni21BA'        : 8634,
-    'uni21BB'        : 8635,
-    'uni21BC'        : 8636,
-    'uni2017'        : 8215,
-    'uni21BE'        : 8638,
-    'uni21BF'        : 8639,
-    'uni231C'        : 8988,
     'H'              : 72,
-    'uni0293'        : 659,
-    'uni2202'        : 8706,
-    'uni22A4'        : 8868,
-    'uni231E'        : 8990,
-    'uni2232'        : 8754,
-    'uni225B'        : 8795,
-    'uni225C'        : 8796,
-    'uni24D9'        : 9433,
-    'uni225A'        : 8794,
-    'uni0438'        : 1080,
-    'uni0439'        : 1081,
-    'uni225D'        : 8797,
-    'uni225E'        : 8798,
-    'uni0434'        : 1076,
     'X'              : 88,
-    'uni007F'        : 127,
-    'uni0437'        : 1079,
     'Idieresis'      : 207,
-    'uni0431'        : 1073,
-    'uni0432'        : 1074,
-    'uni0433'        : 1075,
-    'uni22AC'        : 8876,
-    'uni22CD'        : 8909,
-    'uni25A3'        : 9635,
     'bar'            : 124,
-    'uni24BB'        : 9403,
-    'uni037E'        : 894,
-    'uni027B'        : 635,
     'h'              : 104,
-    'uni027A'        : 634,
-    'uni027F'        : 639,
-    'uni027D'        : 637,
-    'uni027E'        : 638,
-    'uni2227'        : 8743,
-    'uni2004'        : 8196,
-    'uni2225'        : 8741,
-    'uni2224'        : 8740,
-    'uni2223'        : 8739,
-    'uni2222'        : 8738,
-    'uni2221'        : 8737,
-    'uni2220'        : 8736,
     'x'              : 120,
-    'uni2323'        : 8995,
-    'uni2559'        : 9561,
-    'uni2558'        : 9560,
-    'uni2229'        : 8745,
-    'uni2228'        : 8744,
     'udieresis'      : 252,
-    'uni029D'        : 669,
     'ordfeminine'    : 170,
-    'uni22CB'        : 8907,
-    'uni233D'        : 9021,
-    'uni0428'        : 1064,
-    'uni24C6'        : 9414,
-    'uni22DD'        : 8925,
-    'uni24C7'        : 9415,
-    'uni015C'        : 348,
-    'uni015B'        : 347,
-    'uni015A'        : 346,
-    'uni22AA'        : 8874,
-    'uni015F'        : 351,
-    'uni015E'        : 350,
     'braceleft'      : 123,
-    'uni24C5'        : 9413,
-    'uni0410'        : 1040,
-    'uni03AA'        : 938,
-    'uni24C2'        : 9410,
-    'uni03AC'        : 940,
-    'uni03AB'        : 939,
     'macron'         : 175,
-    'uni03AD'        : 941,
-    'uni03AF'        : 943,
-    'uni0294'        : 660,
-    'uni0295'        : 661,
-    'uni0296'        : 662,
-    'uni0297'        : 663,
-    'uni0290'        : 656,
-    'uni0291'        : 657,
-    'uni0292'        : 658,
     'atilde'         : 227,
     'Acircumflex'    : 194,
-    'uni2370'        : 9072,
-    'uni24C1'        : 9409,
-    'uni0298'        : 664,
-    'uni0299'        : 665,
     'Oslash'         : 216,
-    'uni029E'        : 670,
     'C'              : 67,
     'quotedblleft'   : 8220,
-    'uni029B'        : 667,
-    'uni029C'        : 668,
-    'uni03A9'        : 937,
-    'uni03A8'        : 936,
     'S'              : 83,
-    'uni24C9'        : 9417,
-    'uni03A1'        : 929,
-    'uni03A0'        : 928,
     'exclam'         : 33,
-    'uni03A5'        : 933,
-    'uni03A4'        : 932,
-    'uni03A7'        : 935,
     'Zcaron'         : 381,
-    'uni2133'        : 8499,
-    'uni2132'        : 8498,
-    'uni0159'        : 345,
-    'uni0158'        : 344,
-    'uni2137'        : 8503,
-    'uni2005'        : 8197,
-    'uni2135'        : 8501,
-    'uni2134'        : 8500,
-    'uni02BA'        : 698,
-    'uni2033'        : 8243,
-    'uni0151'        : 337,
-    'uni0150'        : 336,
-    'uni0157'        : 343,
     'equal'          : 61,
-    'uni0155'        : 341,
-    'uni0154'        : 340,
     's'              : 115,
-    'uni233F'        : 9023,
     'eth'            : 240,
-    'uni24BE'        : 9406,
-    'uni21E9'        : 8681,
-    'uni2060'        : 8288,
     'Egrave'         : 200,
-    'uni255D'        : 9565,
-    'uni24CD'        : 9421,
-    'uni21E1'        : 8673,
-    'uni21B9'        : 8633,
     'hyphen'         : 45,
-    'uni01BE'        : 446,
-    'uni01BB'        : 443,
     'period'         : 46,
     'igrave'         : 236,
-    'uni01BA'        : 442,
-    'uni2296'        : 8854,
-    'uni2297'        : 8855,
-    'uni2294'        : 8852,
-    'uni2295'        : 8853,
     'colon'          : 58,
-    'uni2293'        : 8851,
-    'uni2290'        : 8848,
-    'uni2291'        : 8849,
-    'uni032D'        : 813,
-    'uni032E'        : 814,
-    'uni032F'        : 815,
-    'uni032A'        : 810,
-    'uni032B'        : 811,
-    'uni032C'        : 812,
-    'uni231D'        : 8989,
     'Ecircumflex'    : 202,
-    'uni24D7'        : 9431,
-    'uni25DD'        : 9693,
     'trademark'      : 8482,
     'Aacute'         : 193,
     'cent'           : 162,
-    'uni0445'        : 1093,
-    'uni266E'        : 9838,
-    'uni266D'        : 9837,
-    'uni266B'        : 9835,
-    'uni03C9'        : 969,
-    'uni2003'        : 8195,
-    'uni2047'        : 8263,
     'lslash'         : 322,
-    'uni03A6'        : 934,
-    'uni2043'        : 8259,
-    'uni250C'        : 9484,
-    'uni2040'        : 8256,
-    'uni255F'        : 9567,
-    'uni24CB'        : 9419,
-    'uni0472'        : 1138,
-    'uni0446'        : 1094,
-    'uni0474'        : 1140,
-    'uni0475'        : 1141,
-    'uni2508'        : 9480,
-    'uni2660'        : 9824,
-    'uni2506'        : 9478,
-    'uni2502'        : 9474,
     'c'              : 99,
-    'uni2500'        : 9472,
     'N'              : 78,
-    'uni22A6'        : 8870,
-    'uni21E7'        : 8679,
-    'uni2130'        : 8496,
-    'uni2002'        : 8194,
     'breve'          : 728,
-    'uni0442'        : 1090,
     'Oacute'         : 211,
-    'uni229F'        : 8863,
-    'uni25C7'        : 9671,
-    'uni229D'        : 8861,
-    'uni229E'        : 8862,
     'guillemotleft'  : 171,
-    'uni0329'        : 809,
-    'uni24E5'        : 9445,
-    'uni011F'        : 287,
-    'uni0324'        : 804,
-    'uni0325'        : 805,
-    'uni0326'        : 806,
-    'uni0327'        : 807,
-    'uni0321'        : 801,
-    'uni0322'        : 802,
     'n'              : 110,
-    'uni2032'        : 8242,
-    'uni2269'        : 8809,
-    'uni2268'        : 8808,
-    'uni0306'        : 774,
-    'uni226B'        : 8811,
-    'uni21EA'        : 8682,
-    'uni0166'        : 358,
-    'uni203B'        : 8251,
-    'uni01B5'        : 437,
     'idieresis'      : 239,
-    'uni02BC'        : 700,
-    'uni01B0'        : 432,
     'braceright'     : 125,
     'seven'          : 55,
-    'uni02BB'        : 699,
-    'uni011A'        : 282,
-    'uni29FB'        : 10747,
     'brokenbar'      : 166,
-    'uni2036'        : 8246,
-    'uni25C0'        : 9664,
-    'uni0156'        : 342,
-    'uni22D5'        : 8917,
-    'uni0258'        : 600,
     'ugrave'         : 249,
-    'uni22D6'        : 8918,
-    'uni22D1'        : 8913,
-    'uni2034'        : 8244,
-    'uni22D3'        : 8915,
-    'uni22D2'        : 8914,
-    'uni203C'        : 8252,
-    'uni223E'        : 8766,
-    'uni02BF'        : 703,
-    'uni22D9'        : 8921,
-    'uni22D8'        : 8920,
-    'uni25BD'        : 9661,
-    'uni25BE'        : 9662,
-    'uni25BF'        : 9663,
-    'uni041B'        : 1051,
     'periodcentered' : 183,
-    'uni25BC'        : 9660,
-    'uni019E'        : 414,
-    'uni019B'        : 411,
-    'uni019A'        : 410,
-    'uni2007'        : 8199,
-    'uni0391'        : 913,
-    'uni0390'        : 912,
-    'uni0393'        : 915,
-    'uni0392'        : 914,
-    'uni0395'        : 917,
-    'uni0394'        : 916,
-    'uni0397'        : 919,
-    'uni0396'        : 918,
-    'uni0399'        : 921,
-    'uni0398'        : 920,
-    'uni25C8'        : 9672,
-    'uni2468'        : 9320,
     'sterling'       : 163,
-    'uni22EB'        : 8939,
-    'uni039C'        : 924,
-    'uni039B'        : 923,
-    'uni039E'        : 926,
-    'uni039D'        : 925,
-    'uni039F'        : 927,
     'I'              : 73,
-    'uni03E1'        : 993,
-    'uni03E0'        : 992,
-    'uni2319'        : 8985,
-    'uni228B'        : 8843,
-    'uni25B5'        : 9653,
-    'uni25B6'        : 9654,
-    'uni22EA'        : 8938,
-    'uni24B9'        : 9401,
-    'uni044E'        : 1102,
-    'uni0199'        : 409,
-    'uni2266'        : 8806,
     'Y'              : 89,
-    'uni22A2'        : 8866,
     'Eth'            : 208,
-    'uni266F'        : 9839,
     'emdash'         : 8212,
-    'uni263B'        : 9787,
-    'uni24BD'        : 9405,
-    'uni22DE'        : 8926,
-    'uni0360'        : 864,
-    'uni2557'        : 9559,
-    'uni22DF'        : 8927,
-    'uni22DA'        : 8922,
-    'uni22DC'        : 8924,
-    'uni0361'        : 865,
     'i'              : 105,
-    'uni24BF'        : 9407,
-    'uni0362'        : 866,
-    'uni263E'        : 9790,
-    'uni028D'        : 653,
-    'uni2259'        : 8793,
-    'uni0323'        : 803,
-    'uni2265'        : 8805,
     'daggerdbl'      : 8225,
     'y'              : 121,
-    'uni010A'        : 266,
     'plusminus'      : 177,
     'less'           : 60,
-    'uni21AE'        : 8622,
-    'uni0315'        : 789,
-    'uni230B'        : 8971,
-    'uni21AF'        : 8623,
-    'uni21AA'        : 8618,
-    'uni21AC'        : 8620,
-    'uni21AB'        : 8619,
-    'uni01FB'        : 507,
-    'uni01FC'        : 508,
-    'uni223A'        : 8762,
-    'uni01FA'        : 506,
-    'uni01FF'        : 511,
-    'uni01FD'        : 509,
-    'uni01FE'        : 510,
-    'uni2567'        : 9575,
-    'uni25E0'        : 9696,
-    'uni0104'        : 260,
-    'uni0105'        : 261,
-    'uni0106'        : 262,
-    'uni0107'        : 263,
-    'uni0100'        : 256,
-    'uni0101'        : 257,
-    'uni0102'        : 258,
-    'uni0103'        : 259,
-    'uni2038'        : 8248,
-    'uni2009'        : 8201,
-    'uni2008'        : 8200,
-    'uni0108'        : 264,
-    'uni0109'        : 265,
-    'uni02A1'        : 673,
-    'uni223B'        : 8763,
-    'uni226C'        : 8812,
-    'uni25AC'        : 9644,
-    'uni24D3'        : 9427,
-    'uni21E0'        : 8672,
-    'uni21E3'        : 8675,
     'Udieresis'      : 220,
-    'uni21E2'        : 8674,
     'D'              : 68,
-    'uni21E5'        : 8677,
-    'uni2621'        : 9761,
-    'uni21D1'        : 8657,
-    'uni203E'        : 8254,
-    'uni22C6'        : 8902,
-    'uni21E4'        : 8676,
-    'uni010D'        : 269,
-    'uni010E'        : 270,
-    'uni010F'        : 271,
     'five'           : 53,
     'T'              : 84,
-    'uni010B'        : 267,
-    'uni010C'        : 268,
-    'uni2605'        : 9733,
-    'uni2663'        : 9827,
-    'uni21E6'        : 8678,
-    'uni24B6'        : 9398,
-    'uni22C1'        : 8897,
     'oslash'         : 248,
     'acute'          : 180,
-    'uni01F0'        : 496,
     'd'              : 100,
     'OE'             : 338,
-    'uni22E3'        : 8931,
     'Igrave'         : 204,
-    'uni2308'        : 8968,
-    'uni2309'        : 8969,
-    'uni21A9'        : 8617,
     't'              : 116,
-    'uni2313'        : 8979,
-    'uni03A3'        : 931,
-    'uni21A4'        : 8612,
-    'uni21A7'        : 8615,
-    'uni21A6'        : 8614,
-    'uni21A1'        : 8609,
-    'uni21A0'        : 8608,
-    'uni21A3'        : 8611,
-    'uni21A2'        : 8610,
     'parenright'     : 41,
-    'uni256A'        : 9578,
-    'uni25DC'        : 9692,
-    'uni24CE'        : 9422,
-    'uni042C'        : 1068,
-    'uni24E0'        : 9440,
-    'uni042B'        : 1067,
-    'uni0409'        : 1033,
-    'uni0408'        : 1032,
-    'uni24E7'        : 9447,
-    'uni25B4'        : 9652,
-    'uni042A'        : 1066,
-    'uni228E'        : 8846,
-    'uni0401'        : 1025,
     'adieresis'      : 228,
-    'uni0403'        : 1027,
     'quotesingle'    : 39,
-    'uni0405'        : 1029,
-    'uni0404'        : 1028,
-    'uni0407'        : 1031,
-    'uni0406'        : 1030,
-    'uni229C'        : 8860,
-    'uni2306'        : 8966,
-    'uni2253'        : 8787,
     'twodotenleader' : 8229,
-    'uni2131'        : 8497,
-    'uni21DA'        : 8666,
-    'uni2234'        : 8756,
-    'uni2235'        : 8757,
-    'uni01A5'        : 421,
-    'uni2237'        : 8759,
-    'uni2230'        : 8752,
-    'uni02CC'        : 716,
     'slash'          : 47,
-    'uni01A0'        : 416,
     'ellipsis'       : 8230,
-    'uni2299'        : 8857,
-    'uni2238'        : 8760,
     'numbersign'     : 35,
-    'uni21A8'        : 8616,
-    'uni223D'        : 8765,
-    'uni01AF'        : 431,
-    'uni223F'        : 8767,
-    'uni01AD'        : 429,
-    'uni01AB'        : 427,
     'odieresis'      : 246,
-    'uni223C'        : 8764,
-    'uni227D'        : 8829,
-    'uni0280'        : 640,
     'O'              : 79,
-    'uni227E'        : 8830,
-    'uni21A5'        : 8613,
-    'uni22D4'        : 8916,
-    'uni25D4'        : 9684,
-    'uni227F'        : 8831,
-    'uni0435'        : 1077,
-    'uni2302'        : 8962,
-    'uni2669'        : 9833,
-    'uni24E3'        : 9443,
-    'uni2720'        : 10016,
-    'uni22A8'        : 8872,
-    'uni22A9'        : 8873,
-    'uni040A'        : 1034,
-    'uni22A7'        : 8871,
     'oe'             : 339,
-    'uni040B'        : 1035,
-    'uni040E'        : 1038,
-    'uni22A3'        : 8867,
     'o'              : 111,
-    'uni040F'        : 1039,
     'Edieresis'      : 203,
-    'uni25D5'        : 9685,
     'plus'           : 43,
-    'uni044D'        : 1101,
-    'uni263C'        : 9788,
-    'uni22E6'        : 8934,
-    'uni2283'        : 8835,
-    'uni258C'        : 9612,
-    'uni219E'        : 8606,
-    'uni24E4'        : 9444,
-    'uni2136'        : 8502,
     'dagger'         : 8224,
-    'uni24B7'        : 9399,
-    'uni219B'        : 8603,
-    'uni22E5'        : 8933,
     'three'          : 51,
-    'uni210B'        : 8459,
-    'uni2534'        : 9524,
-    'uni24B8'        : 9400,
-    'uni230A'        : 8970,
     'hungarumlaut'   : 733,
     'parenleft'      : 40,
-    'uni0148'        : 328,
-    'uni0149'        : 329,
-    'uni2124'        : 8484,
-    'uni2125'        : 8485,
-    'uni2126'        : 8486,
-    'uni2127'        : 8487,
-    'uni0140'        : 320,
-    'uni2129'        : 8489,
-    'uni25C5'        : 9669,
-    'uni0143'        : 323,
-    'uni0144'        : 324,
-    'uni0145'        : 325,
-    'uni0146'        : 326,
-    'uni0147'        : 327,
-    'uni210D'        : 8461,
     'fraction'       : 8260,
-    'uni2031'        : 8241,
-    'uni2196'        : 8598,
-    'uni2035'        : 8245,
-    'uni24E6'        : 9446,
-    'uni016B'        : 363,
-    'uni24BA'        : 9402,
-    'uni266A'        : 9834,
-    'uni0116'        : 278,
-    'uni2115'        : 8469,
     'registered'     : 174,
     'J'              : 74,
-    'uni25DF'        : 9695,
-    'uni25CE'        : 9678,
-    'uni273D'        : 10045,
     'dieresis'       : 168,
-    'uni212B'        : 8491,
-    'uni0114'        : 276,
-    'uni212D'        : 8493,
-    'uni212E'        : 8494,
-    'uni212F'        : 8495,
-    'uni014A'        : 330,
-    'uni014B'        : 331,
-    'uni014C'        : 332,
-    'uni014D'        : 333,
-    'uni014E'        : 334,
-    'uni014F'        : 335,
-    'uni025E'        : 606,
-    'uni24E8'        : 9448,
-    'uni0111'        : 273,
-    'uni24E9'        : 9449,
     'Ograve'         : 210,
     'j'              : 106,
-    'uni2195'        : 8597,
-    'uni2194'        : 8596,
-    'uni2197'        : 8599,
-    'uni2037'        : 8247,
-    'uni2191'        : 8593,
-    'uni2190'        : 8592,
-    'uni2193'        : 8595,
-    'uni2192'        : 8594,
-    'uni29FA'        : 10746,
-    'uni2713'        : 10003,
     'z'              : 122,
-    'uni2199'        : 8601,
-    'uni2198'        : 8600,
-    'uni2667'        : 9831,
     'ae'             : 230,
-    'uni0448'        : 1096,
     'semicolon'      : 59,
-    'uni2666'        : 9830,
-    'uni038F'        : 911,
-    'uni0444'        : 1092,
-    'uni0447'        : 1095,
-    'uni038E'        : 910,
-    'uni0441'        : 1089,
-    'uni038C'        : 908,
-    'uni0443'        : 1091,
-    'uni038A'        : 906,
-    'uni0250'        : 592,
-    'uni0251'        : 593,
-    'uni0252'        : 594,
-    'uni0253'        : 595,
-    'uni0254'        : 596,
     'at'             : 64,
-    'uni0256'        : 598,
-    'uni0257'        : 599,
-    'uni0167'        : 359,
-    'uni0259'        : 601,
-    'uni228C'        : 8844,
-    'uni2662'        : 9826,
-    'uni0319'        : 793,
-    'uni0318'        : 792,
-    'uni24BC'        : 9404,
-    'uni0402'        : 1026,
-    'uni22EF'        : 8943,
     'Iacute'         : 205,
-    'uni22ED'        : 8941,
-    'uni22EE'        : 8942,
-    'uni0311'        : 785,
-    'uni0310'        : 784,
-    'uni21E8'        : 8680,
-    'uni0312'        : 786,
     'percent'        : 37,
-    'uni0317'        : 791,
-    'uni0316'        : 790,
-    'uni21D6'        : 8662,
-    'uni21D7'        : 8663,
-    'uni21D4'        : 8660,
-    'uni21D5'        : 8661,
-    'uni21D2'        : 8658,
-    'uni21D3'        : 8659,
-    'uni21D0'        : 8656,
-    'uni2138'        : 8504,
-    'uni2270'        : 8816,
-    'uni2271'        : 8817,
-    'uni2272'        : 8818,
-    'uni2273'        : 8819,
-    'uni2274'        : 8820,
-    'uni2275'        : 8821,
     'bracketright'   : 93,
-    'uni21D9'        : 8665,
-    'uni21DF'        : 8671,
-    'uni21DD'        : 8669,
-    'uni21DE'        : 8670,
     'AE'             : 198,
-    'uni03AE'        : 942,
-    'uni227A'        : 8826,
-    'uni227B'        : 8827,
-    'uni227C'        : 8828,
     'asterisk'       : 42,
     'aacute'         : 225,
-    'uni226F'        : 8815,
-    'uni22E2'        : 8930,
-    'uni0386'        : 902,
-    'uni22E0'        : 8928,
-    'uni22E1'        : 8929,
     'U'              : 85,
-    'uni22E7'        : 8935,
-    'uni22E4'        : 8932,
-    'uni0387'        : 903,
-    'uni031A'        : 794,
     'eacute'         : 233,
-    'uni22E8'        : 8936,
-    'uni22E9'        : 8937,
-    'uni24D8'        : 9432,
-    'uni025A'        : 602,
-    'uni025B'        : 603,
-    'uni025C'        : 604,
     'e'              : 101,
-    'uni0128'        : 296,
-    'uni025F'        : 607,
-    'uni2665'        : 9829,
     'thorn'          : 254,
-    'uni0129'        : 297,
-    'uni253C'        : 9532,
-    'uni25D7'        : 9687,
     'u'              : 117,
-    'uni0388'        : 904,
-    'uni0389'        : 905,
-    'uni0255'        : 597,
-    'uni0171'        : 369,
-    'uni0384'        : 900,
-    'uni0385'        : 901,
-    'uni044A'        : 1098,
-    'uni252C'        : 9516,
-    'uni044C'        : 1100,
-    'uni044B'        : 1099
 }
 
-uni2type1 = dict(((v,k) for k,v in six.iteritems(type12uni)))
+uni2type1 = {v: k for k, v in type12uni.items()}
+
+#  The script below is to sort and format the tex2uni dict
+
+## For decimal values: int(hex(v), 16)
+#  newtex = {k: hex(v) for k, v in tex2uni.items()}
+#  sd = dict(sorted(newtex.items(), key=lambda item: item[0]))
+#
+## For formatting the sorted dictionary with proper spacing
+## the value '24' comes from finding the longest string in
+## the newtex keys with len(max(newtex, key=len))
+#  for key in sd:
+#      print("{0:24} : {1: <s},".format("'" + key + "'", sd[key]))
 
 tex2uni = {
-    'widehat'                  : 0x0302,
-    'widetilde'                : 0x0303,
-    'widebar'                  : 0x0305,
-    'langle'                   : 0x27e8,
-    'rangle'                   : 0x27e9,
-    'perp'                     : 0x27c2,
-    'neq'                      : 0x2260,
-    'Join'                     : 0x2a1d,
-    'leqslant'                 : 0x2a7d,
-    'geqslant'                 : 0x2a7e,
-    'lessapprox'               : 0x2a85,
-    'gtrapprox'                : 0x2a86,
-    'lesseqqgtr'               : 0x2a8b,
-    'gtreqqless'               : 0x2a8c,
-    'triangleeq'               : 0x225c,
-    'eqslantless'              : 0x2a95,
-    'eqslantgtr'               : 0x2a96,
-    'backepsilon'              : 0x03f6,
-    'precapprox'               : 0x2ab7,
-    'succapprox'               : 0x2ab8,
-    'fallingdotseq'            : 0x2252,
-    'subseteqq'                : 0x2ac5,
-    'supseteqq'                : 0x2ac6,
-    'varpropto'                : 0x221d,
-    'precnapprox'              : 0x2ab9,
-    'succnapprox'              : 0x2aba,
-    'subsetneqq'               : 0x2acb,
-    'supsetneqq'               : 0x2acc,
-    'lnapprox'                 : 0x2ab9,
-    'gnapprox'                 : 0x2aba,
-    'longleftarrow'            : 0x27f5,
-    'longrightarrow'           : 0x27f6,
-    'longleftrightarrow'       : 0x27f7,
-    'Longleftarrow'            : 0x27f8,
-    'Longrightarrow'           : 0x27f9,
-    'Longleftrightarrow'       : 0x27fa,
-    'longmapsto'               : 0x27fc,
-    'leadsto'                  : 0x21dd,
-    'dashleftarrow'            : 0x290e,
-    'dashrightarrow'           : 0x290f,
-    'circlearrowleft'          : 0x21ba,
-    'circlearrowright'         : 0x21bb,
-    'leftrightsquigarrow'      : 0x21ad,
-    'leftsquigarrow'           : 0x219c,
-    'rightsquigarrow'          : 0x219d,
-    'Game'                     : 0x2141,
-    'hbar'                     : 0x0127,
-    'hslash'                   : 0x210f,
-    'ldots'                    : 0x2026,
-    'vdots'                    : 0x22ee,
-    'doteqdot'                 : 0x2251,
-    'doteq'                    : 8784,
-    'partial'                  : 8706,
-    'gg'                       : 8811,
-    'asymp'                    : 8781,
-    'blacktriangledown'        : 9662,
-    'otimes'                   : 8855,
-    'nearrow'                  : 8599,
-    'varpi'                    : 982,
-    'vee'                      : 8744,
-    'vec'                      : 8407,
-    'smile'                    : 8995,
-    'succnsim'                 : 8937,
-    'gimel'                    : 8503,
-    'vert'                     : 124,
-    '|'                        : 124,
-    'varrho'                   : 1009,
-    'P'                        : 182,
-    'approxident'              : 8779,
-    'Swarrow'                  : 8665,
-    'textasciicircum'          : 94,
-    'imageof'                  : 8887,
-    'ntriangleleft'            : 8938,
-    'nleq'                     : 8816,
-    'div'                      : 247,
-    'nparallel'                : 8742,
-    'Leftarrow'                : 8656,
-    'lll'                      : 8920,
-    'oiint'                    : 8751,
-    'ngeq'                     : 8817,
-    'Theta'                    : 920,
-    'origof'                   : 8886,
-    'blacksquare'              : 9632,
-    'solbar'                   : 9023,
-    'neg'                      : 172,
-    'sum'                      : 8721,
-    'Vdash'                    : 8873,
-    'coloneq'                  : 8788,
-    'degree'                   : 176,
-    'bowtie'                   : 8904,
-    'blacktriangleright'       : 9654,
-    'varsigma'                 : 962,
-    'leq'                      : 8804,
-    'ggg'                      : 8921,
-    'lneqq'                    : 8808,
-    'scurel'                   : 8881,
-    'stareq'                   : 8795,
-    'BbbN'                     : 8469,
-    'nLeftarrow'               : 8653,
-    'nLeftrightarrow'          : 8654,
-    'k'                        : 808,
-    'bot'                      : 8869,
-    'BbbC'                     : 8450,
-    'Lsh'                      : 8624,
-    'leftleftarrows'           : 8647,
-    'BbbZ'                     : 8484,
-    'digamma'                  : 989,
-    'BbbR'                     : 8477,
-    'BbbP'                     : 8473,
-    'BbbQ'                     : 8474,
-    'vartriangleright'         : 8883,
-    'succsim'                  : 8831,
-    'wedge'                    : 8743,
-    'lessgtr'                  : 8822,
-    'veebar'                   : 8891,
-    'mapsdown'                 : 8615,
-    'Rsh'                      : 8625,
-    'chi'                      : 967,
-    'prec'                     : 8826,
-    'nsubseteq'                : 8840,
-    'therefore'                : 8756,
-    'eqcirc'                   : 8790,
-    'textexclamdown'           : 161,
-    'nRightarrow'              : 8655,
-    'flat'                     : 9837,
-    'notin'                    : 8713,
-    'llcorner'                 : 8990,
-    'varepsilon'               : 949,
-    'bigtriangleup'            : 9651,
-    'aleph'                    : 8501,
-    'dotminus'                 : 8760,
-    'upsilon'                  : 965,
-    'Lambda'                   : 923,
-    'cap'                      : 8745,
-    'barleftarrow'             : 8676,
-    'mu'                       : 956,
-    'boxplus'                  : 8862,
-    'mp'                       : 8723,
-    'circledast'               : 8859,
-    'tau'                      : 964,
-    'in'                       : 8712,
-    'backslash'                : 92,
-    'varnothing'               : 8709,
-    'sharp'                    : 9839,
-    'eqsim'                    : 8770,
-    'gnsim'                    : 8935,
-    'Searrow'                  : 8664,
-    'updownarrows'             : 8645,
-    'heartsuit'                : 9825,
-    'trianglelefteq'           : 8884,
-    'ddag'                     : 8225,
-    'sqsubseteq'               : 8849,
-    'mapsfrom'                 : 8612,
-    'boxbar'                   : 9707,
-    'sim'                      : 8764,
-    'Nwarrow'                  : 8662,
-    'nequiv'                   : 8802,
-    'succ'                     : 8827,
-    'vdash'                    : 8866,
-    'Leftrightarrow'           : 8660,
-    'parallel'                 : 8741,
-    'invnot'                   : 8976,
-    'natural'                  : 9838,
-    'ss'                       : 223,
-    'uparrow'                  : 8593,
-    'nsim'                     : 8769,
-    'hookrightarrow'           : 8618,
-    'Equiv'                    : 8803,
-    'approx'                   : 8776,
-    'Vvdash'                   : 8874,
-    'nsucc'                    : 8833,
-    'leftrightharpoons'        : 8651,
-    'Re'                       : 8476,
-    'boxminus'                 : 8863,
-    'equiv'                    : 8801,
-    'Lleftarrow'               : 8666,
-    'thinspace'                : 8201,
-    'll'                       : 8810,
-    'Cup'                      : 8915,
-    'measeq'                   : 8798,
-    'upharpoonleft'            : 8639,
-    'lq'                       : 8216,
-    'Upsilon'                  : 933,
-    'subsetneq'                : 8842,
-    'greater'                  : 62,
-    'supsetneq'                : 8843,
-    'Cap'                      : 8914,
-    'L'                        : 321,
-    'spadesuit'                : 9824,
-    'lrcorner'                 : 8991,
-    'not'                      : 824,
-    'bar'                      : 772,
-    'rightharpoonaccent'       : 8401,
-    'boxdot'                   : 8865,
-    'l'                        : 322,
-    'leftharpoondown'          : 8637,
-    'bigcup'                   : 8899,
-    'iint'                     : 8748,
-    'bigwedge'                 : 8896,
-    'downharpoonleft'          : 8643,
-    'textasciitilde'           : 126,
-    'subset'                   : 8834,
-    'leqq'                     : 8806,
-    'mapsup'                   : 8613,
-    'nvDash'                   : 8877,
-    'looparrowleft'            : 8619,
-    'nless'                    : 8814,
-    'rightarrowbar'            : 8677,
-    'Vert'                     : 8214,
-    'downdownarrows'           : 8650,
-    'uplus'                    : 8846,
-    'simeq'                    : 8771,
-    'napprox'                  : 8777,
-    'ast'                      : 8727,
-    'twoheaduparrow'           : 8607,
-    'doublebarwedge'           : 8966,
-    'Sigma'                    : 931,
-    'leftharpoonaccent'        : 8400,
-    'ntrianglelefteq'          : 8940,
-    'nexists'                  : 8708,
-    'times'                    : 215,
-    'measuredangle'            : 8737,
-    'bumpeq'                   : 8783,
-    'carriagereturn'           : 8629,
-    'adots'                    : 8944,
-    'checkmark'                : 10003,
-    'lambda'                   : 955,
-    'xi'                       : 958,
-    'rbrace'                   : 125,
-    'rbrack'                   : 93,
-    'Nearrow'                  : 8663,
-    'maltese'                  : 10016,
-    'clubsuit'                 : 9827,
-    'top'                      : 8868,
-    'overarc'                  : 785,
-    'varphi'                   : 966,
-    'Delta'                    : 916,
-    'iota'                     : 953,
-    'nleftarrow'               : 8602,
-    'candra'                   : 784,
-    'supset'                   : 8835,
-    'triangleleft'             : 9665,
-    'gtreqless'                : 8923,
-    'ntrianglerighteq'         : 8941,
-    'quad'                     : 8195,
-    'Xi'                       : 926,
-    'gtrdot'                   : 8919,
-    'leftthreetimes'           : 8907,
-    'minus'                    : 8722,
-    'preccurlyeq'              : 8828,
-    'nleftrightarrow'          : 8622,
-    'lambdabar'                : 411,
-    'blacktriangle'            : 9652,
-    'kernelcontraction'        : 8763,
-    'Phi'                      : 934,
-    'angle'                    : 8736,
-    'spadesuitopen'            : 9828,
-    'eqless'                   : 8924,
-    'mid'                      : 8739,
-    'varkappa'                 : 1008,
-    'Ldsh'                     : 8626,
-    'updownarrow'              : 8597,
-    'beta'                     : 946,
-    'textquotedblleft'         : 8220,
-    'rho'                      : 961,
-    'alpha'                    : 945,
-    'intercal'                 : 8890,
-    'beth'                     : 8502,
-    'grave'                    : 768,
-    'acwopencirclearrow'       : 8634,
-    'nmid'                     : 8740,
-    'nsupset'                  : 8837,
-    'sigma'                    : 963,
-    'dot'                      : 775,
-    'Rightarrow'               : 8658,
-    'turnednot'                : 8985,
-    'backsimeq'                : 8909,
-    'leftarrowtail'            : 8610,
-    'approxeq'                 : 8778,
-    'curlyeqsucc'              : 8927,
-    'rightarrowtail'           : 8611,
-    'Psi'                      : 936,
-    'copyright'                : 169,
-    'yen'                      : 165,
-    'vartriangleleft'          : 8882,
-    'rasp'                     : 700,
-    'triangleright'            : 9655,
-    'precsim'                  : 8830,
-    'infty'                    : 8734,
-    'geq'                      : 8805,
-    'updownarrowbar'           : 8616,
-    'precnsim'                 : 8936,
-    'H'                        : 779,
-    'ulcorner'                 : 8988,
-    'looparrowright'           : 8620,
-    'ncong'                    : 8775,
-    'downarrow'                : 8595,
-    'circeq'                   : 8791,
-    'subseteq'                 : 8838,
-    'bigstar'                  : 9733,
-    'prime'                    : 8242,
-    'lceil'                    : 8968,
-    'Rrightarrow'              : 8667,
-    'oiiint'                   : 8752,
-    'curlywedge'               : 8911,
-    'vDash'                    : 8872,
-    'lfloor'                   : 8970,
-    'ddots'                    : 8945,
-    'exists'                   : 8707,
-    'underbar'                 : 817,
-    'Pi'                       : 928,
-    'leftrightarrows'          : 8646,
-    'sphericalangle'           : 8738,
-    'coprod'                   : 8720,
-    'circledcirc'              : 8858,
-    'gtrsim'                   : 8819,
-    'gneqq'                    : 8809,
-    'between'                  : 8812,
-    'theta'                    : 952,
-    'complement'               : 8705,
-    'arceq'                    : 8792,
-    'nVdash'                   : 8878,
-    'S'                        : 167,
-    'wr'                       : 8768,
-    'wp'                       : 8472,
-    'backcong'                 : 8780,
-    'lasp'                     : 701,
-    'c'                        : 807,
-    'nabla'                    : 8711,
-    'dotplus'                  : 8724,
-    'eta'                      : 951,
-    'forall'                   : 8704,
-    'eth'                      : 240,
-    'colon'                    : 58,
-    'sqcup'                    : 8852,
-    'rightrightarrows'         : 8649,
-    'sqsupset'                 : 8848,
-    'mapsto'                   : 8614,
-    'bigtriangledown'          : 9661,
-    'sqsupseteq'               : 8850,
-    'propto'                   : 8733,
-    'pi'                       : 960,
-    'pm'                       : 177,
-    'dots'                     : 0x2026,
-    'nrightarrow'              : 8603,
-    'textasciiacute'           : 180,
-    'Doteq'                    : 8785,
-    'breve'                    : 774,
-    'sqcap'                    : 8851,
-    'twoheadrightarrow'        : 8608,
-    'kappa'                    : 954,
-    'vartriangle'              : 9653,
-    'diamondsuit'              : 9826,
-    'pitchfork'                : 8916,
-    'blacktriangleleft'        : 9664,
-    'nprec'                    : 8832,
-    'vdots'                    : 8942,
-    'curvearrowright'          : 8631,
-    'barwedge'                 : 8892,
-    'multimap'                 : 8888,
-    'textquestiondown'         : 191,
-    'cong'                     : 8773,
-    'rtimes'                   : 8906,
-    'rightzigzagarrow'         : 8669,
-    'rightarrow'               : 8594,
-    'leftarrow'                : 8592,
-    '__sqrt__'                 : 8730,
-    'twoheaddownarrow'         : 8609,
-    'oint'                     : 8750,
-    'bigvee'                   : 8897,
-    'eqdef'                    : 8797,
-    'sterling'                 : 163,
-    'phi'                      : 981,
-    'Updownarrow'              : 8661,
-    'backprime'                : 8245,
-    'emdash'                   : 8212,
-    'Gamma'                    : 915,
-    'i'                        : 305,
-    'rceil'                    : 8969,
-    'leftharpoonup'            : 8636,
-    'Im'                       : 8465,
-    'curvearrowleft'           : 8630,
-    'wedgeq'                   : 8793,
-    'fallingdotseq'            : 8786,
-    'curlyeqprec'              : 8926,
-    'questeq'                  : 8799,
-    'less'                     : 60,
-    'upuparrows'               : 8648,
-    'tilde'                    : 771,
-    'textasciigrave'           : 96,
-    'smallsetminus'            : 8726,
-    'ell'                      : 8467,
-    'cup'                      : 8746,
-    'danger'                   : 9761,
-    'nVDash'                   : 8879,
-    'cdotp'                    : 183,
-    'cdots'                    : 8943,
-    'hat'                      : 770,
-    'eqgtr'                    : 8925,
-    'enspace'                  : 8194,
-    'psi'                      : 968,
-    'frown'                    : 8994,
-    'acute'                    : 769,
-    'downzigzagarrow'          : 8623,
-    'ntriangleright'           : 8939,
-    'cupdot'                   : 8845,
-    'circleddash'              : 8861,
-    'oslash'                   : 8856,
-    'mho'                      : 8487,
-    'd'                        : 803,
-    'sqsubset'                 : 8847,
-    'cdot'                     : 8901,
-    'Omega'                    : 937,
-    'OE'                       : 338,
-    'veeeq'                    : 8794,
-    'Finv'                     : 8498,
-    't'                        : 865,
-    'leftrightarrow'           : 8596,
-    'swarrow'                  : 8601,
-    'rightthreetimes'          : 8908,
-    'rightleftharpoons'        : 8652,
-    'lesssim'                  : 8818,
-    'searrow'                  : 8600,
-    'because'                  : 8757,
-    'gtrless'                  : 8823,
-    'star'                     : 8902,
-    'nsubset'                  : 8836,
-    'zeta'                     : 950,
-    'dddot'                    : 8411,
-    'bigcirc'                  : 9675,
-    'Supset'                   : 8913,
-    'circ'                     : 8728,
-    'slash'                    : 8725,
-    'ocirc'                    : 778,
-    'prod'                     : 8719,
-    'twoheadleftarrow'         : 8606,
-    'daleth'                   : 8504,
-    'upharpoonright'           : 8638,
-    'odot'                     : 8857,
-    'Uparrow'                  : 8657,
-    'O'                        : 216,
-    'hookleftarrow'            : 8617,
-    'trianglerighteq'          : 8885,
-    'nsime'                    : 8772,
-    'oe'                       : 339,
-    'nwarrow'                  : 8598,
-    'o'                        : 248,
-    'ddddot'                   : 8412,
-    'downharpoonright'         : 8642,
-    'succcurlyeq'              : 8829,
-    'gamma'                    : 947,
-    'scrR'                     : 8475,
-    'dag'                      : 8224,
-    'thickspace'               : 8197,
-    'frakZ'                    : 8488,
-    'lessdot'                  : 8918,
-    'triangledown'             : 9663,
-    'ltimes'                   : 8905,
-    'scrB'                     : 8492,
-    'endash'                   : 8211,
-    'scrE'                     : 8496,
-    'scrF'                     : 8497,
-    'scrH'                     : 8459,
-    'scrI'                     : 8464,
-    'rightharpoondown'         : 8641,
-    'scrL'                     : 8466,
-    'scrM'                     : 8499,
-    'frakC'                    : 8493,
-    'nsupseteq'                : 8841,
-    'circledR'                 : 174,
-    'circledS'                 : 9416,
-    'ngtr'                     : 8815,
-    'bigcap'                   : 8898,
-    'scre'                     : 8495,
-    'Downarrow'                : 8659,
-    'scrg'                     : 8458,
-    'overleftrightarrow'       : 8417,
-    'scro'                     : 8500,
-    'lnsim'                    : 8934,
-    'eqcolon'                  : 8789,
-    'curlyvee'                 : 8910,
-    'urcorner'                 : 8989,
-    'lbrace'                   : 123,
-    'Bumpeq'                   : 8782,
-    'delta'                    : 948,
-    'boxtimes'                 : 8864,
-    'overleftarrow'            : 8406,
-    'prurel'                   : 8880,
-    'clubsuitopen'             : 9831,
-    'cwopencirclearrow'        : 8635,
-    'geqq'                     : 8807,
-    'rightleftarrows'          : 8644,
-    'ac'                       : 8766,
-    'ae'                       : 230,
-    'int'                      : 8747,
-    'rfloor'                   : 8971,
-    'risingdotseq'             : 8787,
-    'nvdash'                   : 8876,
-    'diamond'                  : 8900,
-    'ddot'                     : 776,
-    'backsim'                  : 8765,
-    'oplus'                    : 8853,
-    'triangleq'                : 8796,
-    'check'                    : 780,
-    'ni'                       : 8715,
-    'iiint'                    : 8749,
-    'ne'                       : 8800,
-    'lesseqgtr'                : 8922,
-    'obar'                     : 9021,
-    'supseteq'                 : 8839,
-    'nu'                       : 957,
-    'AA'                       : 8491,
-    'AE'                       : 198,
-    'models'                   : 8871,
-    'ominus'                   : 8854,
-    'dashv'                    : 8867,
-    'omega'                    : 969,
-    'rq'                       : 8217,
-    'Subset'                   : 8912,
-    'rightharpoonup'           : 8640,
-    'Rdsh'                     : 8627,
-    'bullet'                   : 8729,
-    'divideontimes'            : 8903,
-    'lbrack'                   : 91,
-    'textquotedblright'        : 8221,
-    'Colon'                    : 8759,
-    '%'                        : 37,
-    '$'                        : 36,
-    '{'                        : 123,
-    '}'                        : 125,
-    '_'                        : 95,
-    '#'                        : 35,
-    'imath'                    : 0x131,
-    'circumflexaccent'         : 770,
-    'combiningbreve'           : 774,
-    'combiningoverline'        : 772,
-    'combininggraveaccent'     : 768,
-    'combiningacuteaccent'     : 769,
-    'combiningdiaeresis'       : 776,
-    'combiningtilde'           : 771,
-    'combiningrightarrowabove' : 8407,
-    'combiningdotabove'        : 775,
-    'to'                       : 8594,
-    'succeq'                   : 8829,
-    'emptyset'                 : 8709,
-    'leftparen'                : 40,
-    'rightparen'               : 41,
-    'bigoplus'                 : 10753,
-    'leftangle'                : 10216,
-    'rightangle'               : 10217,
-    'leftbrace'                : 124,
-    'rightbrace'               : 125,
-    'jmath'                    : 567,
-    'bigodot'                  : 10752,
-    'preceq'                   : 8828,
-    'biguplus'                 : 10756,
-    'epsilon'                  : 949,
-    'vartheta'                 : 977,
-    'bigotimes'                : 10754,
-    'guillemotleft'            : 171,
-    'ring'                     : 730,
-    'Thorn'                    : 222,
-    'guilsinglright'           : 8250,
-    'perthousand'              : 8240,
-    'macron'                   : 175,
-    'cent'                     : 162,
-    'guillemotright'           : 187,
-    'equal'                    : 61,
-    'asterisk'                 : 42,
-    'guilsinglleft'            : 8249,
-    'plus'                     : 43,
-    'thorn'                    : 254,
-    'dagger'                   : 8224
+    '#'                      : 0x23,
+    '$'                      : 0x24,
+    '%'                      : 0x25,
+    'AA'                     : 0xc5,
+    'AE'                     : 0xc6,
+    'BbbC'                   : 0x2102,
+    'BbbN'                   : 0x2115,
+    'BbbP'                   : 0x2119,
+    'BbbQ'                   : 0x211a,
+    'BbbR'                   : 0x211d,
+    'BbbZ'                   : 0x2124,
+    'Bumpeq'                 : 0x224e,
+    'Cap'                    : 0x22d2,
+    'Colon'                  : 0x2237,
+    'Cup'                    : 0x22d3,
+    'DH'                     : 0xd0,
+    'Delta'                  : 0x394,
+    'Doteq'                  : 0x2251,
+    'Downarrow'              : 0x21d3,
+    'Equiv'                  : 0x2263,
+    'Finv'                   : 0x2132,
+    'Game'                   : 0x2141,
+    'Gamma'                  : 0x393,
+    'H'                      : 0x30b,
+    'Im'                     : 0x2111,
+    'Join'                   : 0x2a1d,
+    'L'                      : 0x141,
+    'Lambda'                 : 0x39b,
+    'Ldsh'                   : 0x21b2,
+    'Leftarrow'              : 0x21d0,
+    'Leftrightarrow'         : 0x21d4,
+    'Lleftarrow'             : 0x21da,
+    'Longleftarrow'          : 0x27f8,
+    'Longleftrightarrow'     : 0x27fa,
+    'Longrightarrow'         : 0x27f9,
+    'Lsh'                    : 0x21b0,
+    'Nearrow'                : 0x21d7,
+    'Nwarrow'                : 0x21d6,
+    'O'                      : 0xd8,
+    'OE'                     : 0x152,
+    'Omega'                  : 0x3a9,
+    'P'                      : 0xb6,
+    'Phi'                    : 0x3a6,
+    'Pi'                     : 0x3a0,
+    'Psi'                    : 0x3a8,
+    'QED'                    : 0x220e,
+    'Rdsh'                   : 0x21b3,
+    'Re'                     : 0x211c,
+    'Rightarrow'             : 0x21d2,
+    'Rrightarrow'            : 0x21db,
+    'Rsh'                    : 0x21b1,
+    'S'                      : 0xa7,
+    'Searrow'                : 0x21d8,
+    'Sigma'                  : 0x3a3,
+    'Subset'                 : 0x22d0,
+    'Supset'                 : 0x22d1,
+    'Swarrow'                : 0x21d9,
+    'Theta'                  : 0x398,
+    'Thorn'                  : 0xde,
+    'Uparrow'                : 0x21d1,
+    'Updownarrow'            : 0x21d5,
+    'Upsilon'                : 0x3a5,
+    'Vdash'                  : 0x22a9,
+    'Vert'                   : 0x2016,
+    'Vvdash'                 : 0x22aa,
+    'Xi'                     : 0x39e,
+    '_'                      : 0x5f,
+    '__sqrt__'               : 0x221a,
+    'aa'                     : 0xe5,
+    'ac'                     : 0x223e,
+    'acute'                  : 0x301,
+    'acwopencirclearrow'     : 0x21ba,
+    'adots'                  : 0x22f0,
+    'ae'                     : 0xe6,
+    'aleph'                  : 0x2135,
+    'alpha'                  : 0x3b1,
+    'amalg'                  : 0x2a3f,
+    'angle'                  : 0x2220,
+    'approx'                 : 0x2248,
+    'approxeq'               : 0x224a,
+    'approxident'            : 0x224b,
+    'arceq'                  : 0x2258,
+    'ast'                    : 0x2217,
+    'asterisk'               : 0x2a,
+    'asymp'                  : 0x224d,
+    'backcong'               : 0x224c,
+    'backepsilon'            : 0x3f6,
+    'backprime'              : 0x2035,
+    'backsim'                : 0x223d,
+    'backsimeq'              : 0x22cd,
+    'backslash'              : 0x5c,
+    'bagmember'              : 0x22ff,
+    'bar'                    : 0x304,
+    'barleftarrow'           : 0x21e4,
+    'barvee'                 : 0x22bd,
+    'barwedge'               : 0x22bc,
+    'because'                : 0x2235,
+    'beta'                   : 0x3b2,
+    'beth'                   : 0x2136,
+    'between'                : 0x226c,
+    'bigcap'                 : 0x22c2,
+    'bigcirc'                : 0x25cb,
+    'bigcup'                 : 0x22c3,
+    'bigodot'                : 0x2a00,
+    'bigoplus'               : 0x2a01,
+    'bigotimes'              : 0x2a02,
+    'bigsqcup'               : 0x2a06,
+    'bigstar'                : 0x2605,
+    'bigtriangledown'        : 0x25bd,
+    'bigtriangleup'          : 0x25b3,
+    'biguplus'               : 0x2a04,
+    'bigvee'                 : 0x22c1,
+    'bigwedge'               : 0x22c0,
+    'blacksquare'            : 0x25a0,
+    'blacktriangle'          : 0x25b4,
+    'blacktriangledown'      : 0x25be,
+    'blacktriangleleft'      : 0x25c0,
+    'blacktriangleright'     : 0x25b6,
+    'bot'                    : 0x22a5,
+    'bowtie'                 : 0x22c8,
+    'boxbar'                 : 0x25eb,
+    'boxdot'                 : 0x22a1,
+    'boxminus'               : 0x229f,
+    'boxplus'                : 0x229e,
+    'boxtimes'               : 0x22a0,
+    'breve'                  : 0x306,
+    'bullet'                 : 0x2219,
+    'bumpeq'                 : 0x224f,
+    'c'                      : 0x327,
+    'candra'                 : 0x310,
+    'cap'                    : 0x2229,
+    'carriagereturn'         : 0x21b5,
+    'cdot'                   : 0x22c5,
+    'cdotp'                  : 0xb7,
+    'cdots'                  : 0x22ef,
+    'cent'                   : 0xa2,
+    'check'                  : 0x30c,
+    'checkmark'              : 0x2713,
+    'chi'                    : 0x3c7,
+    'circ'                   : 0x2218,
+    'circeq'                 : 0x2257,
+    'circlearrowleft'        : 0x21ba,
+    'circlearrowright'       : 0x21bb,
+    'circledR'               : 0xae,
+    'circledS'               : 0x24c8,
+    'circledast'             : 0x229b,
+    'circledcirc'            : 0x229a,
+    'circleddash'            : 0x229d,
+    'circumflexaccent'       : 0x302,
+    'clubsuit'               : 0x2663,
+    'clubsuitopen'           : 0x2667,
+    'colon'                  : 0x3a,
+    'coloneq'                : 0x2254,
+    'combiningacuteaccent'   : 0x301,
+    'combiningbreve'         : 0x306,
+    'combiningdiaeresis'     : 0x308,
+    'combiningdotabove'      : 0x307,
+    'combiningfourdotsabove' : 0x20dc,
+    'combininggraveaccent'   : 0x300,
+    'combiningoverline'      : 0x304,
+    'combiningrightarrowabove' : 0x20d7,
+    'combiningthreedotsabove' : 0x20db,
+    'combiningtilde'         : 0x303,
+    'complement'             : 0x2201,
+    'cong'                   : 0x2245,
+    'coprod'                 : 0x2210,
+    'copyright'              : 0xa9,
+    'cup'                    : 0x222a,
+    'cupdot'                 : 0x228d,
+    'cupleftarrow'           : 0x228c,
+    'curlyeqprec'            : 0x22de,
+    'curlyeqsucc'            : 0x22df,
+    'curlyvee'               : 0x22ce,
+    'curlywedge'             : 0x22cf,
+    'curvearrowleft'         : 0x21b6,
+    'curvearrowright'        : 0x21b7,
+    'cwopencirclearrow'      : 0x21bb,
+    'd'                      : 0x323,
+    'dag'                    : 0x2020,
+    'dagger'                 : 0x2020,
+    'daleth'                 : 0x2138,
+    'danger'                 : 0x2621,
+    'dashleftarrow'          : 0x290e,
+    'dashrightarrow'         : 0x290f,
+    'dashv'                  : 0x22a3,
+    'ddag'                   : 0x2021,
+    'ddagger'                : 0x2021,
+    'ddddot'                 : 0x20dc,
+    'dddot'                  : 0x20db,
+    'ddot'                   : 0x308,
+    'ddots'                  : 0x22f1,
+    'degree'                 : 0xb0,
+    'delta'                  : 0x3b4,
+    'dh'                     : 0xf0,
+    'diamond'                : 0x22c4,
+    'diamondsuit'            : 0x2662,
+    'digamma'                : 0x3dd,
+    'disin'                  : 0x22f2,
+    'div'                    : 0xf7,
+    'divideontimes'          : 0x22c7,
+    'dot'                    : 0x307,
+    'doteq'                  : 0x2250,
+    'doteqdot'               : 0x2251,
+    'dotminus'               : 0x2238,
+    'dotplus'                : 0x2214,
+    'dots'                   : 0x2026,
+    'dotsminusdots'          : 0x223a,
+    'doublebarwedge'         : 0x2306,
+    'downarrow'              : 0x2193,
+    'downdownarrows'         : 0x21ca,
+    'downharpoonleft'        : 0x21c3,
+    'downharpoonright'       : 0x21c2,
+    'downzigzagarrow'        : 0x21af,
+    'ell'                    : 0x2113,
+    'emdash'                 : 0x2014,
+    'emptyset'               : 0x2205,
+    'endash'                 : 0x2013,
+    'epsilon'                : 0x3b5,
+    'eqcirc'                 : 0x2256,
+    'eqcolon'                : 0x2255,
+    'eqdef'                  : 0x225d,
+    'eqgtr'                  : 0x22dd,
+    'eqless'                 : 0x22dc,
+    'eqsim'                  : 0x2242,
+    'eqslantgtr'             : 0x2a96,
+    'eqslantless'            : 0x2a95,
+    'equal'                  : 0x3d,
+    'equalparallel'          : 0x22d5,
+    'equiv'                  : 0x2261,
+    'eta'                    : 0x3b7,
+    'eth'                    : 0xf0,
+    'exists'                 : 0x2203,
+    'fallingdotseq'          : 0x2252,
+    'flat'                   : 0x266d,
+    'forall'                 : 0x2200,
+    'frakC'                  : 0x212d,
+    'frakZ'                  : 0x2128,
+    'frown'                  : 0x2322,
+    'gamma'                  : 0x3b3,
+    'geq'                    : 0x2265,
+    'geqq'                   : 0x2267,
+    'geqslant'               : 0x2a7e,
+    'gg'                     : 0x226b,
+    'ggg'                    : 0x22d9,
+    'gimel'                  : 0x2137,
+    'gnapprox'               : 0x2a8a,
+    'gneqq'                  : 0x2269,
+    'gnsim'                  : 0x22e7,
+    'grave'                  : 0x300,
+    'greater'                : 0x3e,
+    'gtrapprox'              : 0x2a86,
+    'gtrdot'                 : 0x22d7,
+    'gtreqless'              : 0x22db,
+    'gtreqqless'             : 0x2a8c,
+    'gtrless'                : 0x2277,
+    'gtrsim'                 : 0x2273,
+    'guillemotleft'          : 0xab,
+    'guillemotright'         : 0xbb,
+    'guilsinglleft'          : 0x2039,
+    'guilsinglright'         : 0x203a,
+    'hat'                    : 0x302,
+    'hbar'                   : 0x127,
+    'heartsuit'              : 0x2661,
+    'hermitmatrix'           : 0x22b9,
+    'hookleftarrow'          : 0x21a9,
+    'hookrightarrow'         : 0x21aa,
+    'hslash'                 : 0x210f,
+    'i'                      : 0x131,
+    'iiiint'                 : 0x2a0c,
+    'iiint'                  : 0x222d,
+    'iint'                   : 0x222c,
+    'imageof'                : 0x22b7,
+    'imath'                  : 0x131,
+    'in'                     : 0x2208,
+    'increment'              : 0x2206,
+    'infty'                  : 0x221e,
+    'int'                    : 0x222b,
+    'intercal'               : 0x22ba,
+    'invnot'                 : 0x2310,
+    'iota'                   : 0x3b9,
+    'isinE'                  : 0x22f9,
+    'isindot'                : 0x22f5,
+    'isinobar'               : 0x22f7,
+    'isins'                  : 0x22f4,
+    'isinvb'                 : 0x22f8,
+    'jmath'                  : 0x237,
+    'k'                      : 0x328,
+    'kappa'                  : 0x3ba,
+    'kernelcontraction'      : 0x223b,
+    'l'                      : 0x142,
+    'lambda'                 : 0x3bb,
+    'lambdabar'              : 0x19b,
+    'langle'                 : 0x27e8,
+    'lasp'                   : 0x2bd,
+    'lbrace'                 : 0x7b,
+    'lbrack'                 : 0x5b,
+    'lceil'                  : 0x2308,
+    'ldots'                  : 0x2026,
+    'leadsto'                : 0x21dd,
+    'leftarrow'              : 0x2190,
+    'leftarrowtail'          : 0x21a2,
+    'leftbrace'              : 0x7b,
+    'leftharpoonaccent'      : 0x20d0,
+    'leftharpoondown'        : 0x21bd,
+    'leftharpoonup'          : 0x21bc,
+    'leftleftarrows'         : 0x21c7,
+    'leftparen'              : 0x28,
+    'leftrightarrow'         : 0x2194,
+    'leftrightarrows'        : 0x21c6,
+    'leftrightharpoons'      : 0x21cb,
+    'leftrightsquigarrow'    : 0x21ad,
+    'leftsquigarrow'         : 0x219c,
+    'leftthreetimes'         : 0x22cb,
+    'leq'                    : 0x2264,
+    'leqq'                   : 0x2266,
+    'leqslant'               : 0x2a7d,
+    'less'                   : 0x3c,
+    'lessapprox'             : 0x2a85,
+    'lessdot'                : 0x22d6,
+    'lesseqgtr'              : 0x22da,
+    'lesseqqgtr'             : 0x2a8b,
+    'lessgtr'                : 0x2276,
+    'lesssim'                : 0x2272,
+    'lfloor'                 : 0x230a,
+    'lgroup'                 : 0x27ee,
+    'lhd'                    : 0x25c1,
+    'll'                     : 0x226a,
+    'llcorner'               : 0x231e,
+    'lll'                    : 0x22d8,
+    'lnapprox'               : 0x2a89,
+    'lneqq'                  : 0x2268,
+    'lnsim'                  : 0x22e6,
+    'longleftarrow'          : 0x27f5,
+    'longleftrightarrow'     : 0x27f7,
+    'longmapsto'             : 0x27fc,
+    'longrightarrow'         : 0x27f6,
+    'looparrowleft'          : 0x21ab,
+    'looparrowright'         : 0x21ac,
+    'lq'                     : 0x2018,
+    'lrcorner'               : 0x231f,
+    'ltimes'                 : 0x22c9,
+    'macron'                 : 0xaf,
+    'maltese'                : 0x2720,
+    'mapsdown'               : 0x21a7,
+    'mapsfrom'               : 0x21a4,
+    'mapsto'                 : 0x21a6,
+    'mapsup'                 : 0x21a5,
+    'measeq'                 : 0x225e,
+    'measuredangle'          : 0x2221,
+    'measuredrightangle'     : 0x22be,
+    'merge'                  : 0x2a55,
+    'mho'                    : 0x2127,
+    'mid'                    : 0x2223,
+    'minus'                  : 0x2212,
+    'minuscolon'             : 0x2239,
+    'models'                 : 0x22a7,
+    'mp'                     : 0x2213,
+    'mu'                     : 0x3bc,
+    'multimap'               : 0x22b8,
+    'nLeftarrow'             : 0x21cd,
+    'nLeftrightarrow'        : 0x21ce,
+    'nRightarrow'            : 0x21cf,
+    'nVDash'                 : 0x22af,
+    'nVdash'                 : 0x22ae,
+    'nabla'                  : 0x2207,
+    'napprox'                : 0x2249,
+    'natural'                : 0x266e,
+    'ncong'                  : 0x2247,
+    'ne'                     : 0x2260,
+    'nearrow'                : 0x2197,
+    'neg'                    : 0xac,
+    'neq'                    : 0x2260,
+    'nequiv'                 : 0x2262,
+    'nexists'                : 0x2204,
+    'ngeq'                   : 0x2271,
+    'ngtr'                   : 0x226f,
+    'ngtrless'               : 0x2279,
+    'ngtrsim'                : 0x2275,
+    'ni'                     : 0x220b,
+    'niobar'                 : 0x22fe,
+    'nis'                    : 0x22fc,
+    'nisd'                   : 0x22fa,
+    'nleftarrow'             : 0x219a,
+    'nleftrightarrow'        : 0x21ae,
+    'nleq'                   : 0x2270,
+    'nless'                  : 0x226e,
+    'nlessgtr'               : 0x2278,
+    'nlesssim'               : 0x2274,
+    'nmid'                   : 0x2224,
+    'not'                    : 0x338,
+    'notin'                  : 0x2209,
+    'notsmallowns'           : 0x220c,
+    'nparallel'              : 0x2226,
+    'nprec'                  : 0x2280,
+    'npreccurlyeq'           : 0x22e0,
+    'nrightarrow'            : 0x219b,
+    'nsim'                   : 0x2241,
+    'nsimeq'                 : 0x2244,
+    'nsqsubseteq'            : 0x22e2,
+    'nsqsupseteq'            : 0x22e3,
+    'nsubset'                : 0x2284,
+    'nsubseteq'              : 0x2288,
+    'nsucc'                  : 0x2281,
+    'nsucccurlyeq'           : 0x22e1,
+    'nsupset'                : 0x2285,
+    'nsupseteq'              : 0x2289,
+    'ntriangleleft'          : 0x22ea,
+    'ntrianglelefteq'        : 0x22ec,
+    'ntriangleright'         : 0x22eb,
+    'ntrianglerighteq'       : 0x22ed,
+    'nu'                     : 0x3bd,
+    'nvDash'                 : 0x22ad,
+    'nvdash'                 : 0x22ac,
+    'nwarrow'                : 0x2196,
+    'o'                      : 0xf8,
+    'obar'                   : 0x233d,
+    'ocirc'                  : 0x30a,
+    'odot'                   : 0x2299,
+    'oe'                     : 0x153,
+    'oequal'                 : 0x229c,
+    'oiiint'                 : 0x2230,
+    'oiint'                  : 0x222f,
+    'oint'                   : 0x222e,
+    'omega'                  : 0x3c9,
+    'ominus'                 : 0x2296,
+    'oplus'                  : 0x2295,
+    'origof'                 : 0x22b6,
+    'oslash'                 : 0x2298,
+    'otimes'                 : 0x2297,
+    'overarc'                : 0x311,
+    'overleftarrow'          : 0x20d6,
+    'overleftrightarrow'     : 0x20e1,
+    'parallel'               : 0x2225,
+    'partial'                : 0x2202,
+    'perp'                   : 0x27c2,
+    'perthousand'            : 0x2030,
+    'phi'                    : 0x3d5,
+    'pi'                     : 0x3c0,
+    'pitchfork'              : 0x22d4,
+    'plus'                   : 0x2b,
+    'pm'                     : 0xb1,
+    'prec'                   : 0x227a,
+    'precapprox'             : 0x2ab7,
+    'preccurlyeq'            : 0x227c,
+    'preceq'                 : 0x227c,
+    'precnapprox'            : 0x2ab9,
+    'precnsim'               : 0x22e8,
+    'precsim'                : 0x227e,
+    'prime'                  : 0x2032,
+    'prod'                   : 0x220f,
+    'propto'                 : 0x221d,
+    'prurel'                 : 0x22b0,
+    'psi'                    : 0x3c8,
+    'quad'                   : 0x2003,
+    'questeq'                : 0x225f,
+    'rangle'                 : 0x27e9,
+    'rasp'                   : 0x2bc,
+    'ratio'                  : 0x2236,
+    'rbrace'                 : 0x7d,
+    'rbrack'                 : 0x5d,
+    'rceil'                  : 0x2309,
+    'rfloor'                 : 0x230b,
+    'rgroup'                 : 0x27ef,
+    'rhd'                    : 0x25b7,
+    'rho'                    : 0x3c1,
+    'rightModels'            : 0x22ab,
+    'rightangle'             : 0x221f,
+    'rightarrow'             : 0x2192,
+    'rightarrowbar'          : 0x21e5,
+    'rightarrowtail'         : 0x21a3,
+    'rightassert'            : 0x22a6,
+    'rightbrace'             : 0x7d,
+    'rightharpoonaccent'     : 0x20d1,
+    'rightharpoondown'       : 0x21c1,
+    'rightharpoonup'         : 0x21c0,
+    'rightleftarrows'        : 0x21c4,
+    'rightleftharpoons'      : 0x21cc,
+    'rightparen'             : 0x29,
+    'rightrightarrows'       : 0x21c9,
+    'rightsquigarrow'        : 0x219d,
+    'rightthreetimes'        : 0x22cc,
+    'rightzigzagarrow'       : 0x21dd,
+    'ring'                   : 0x2da,
+    'risingdotseq'           : 0x2253,
+    'rq'                     : 0x2019,
+    'rtimes'                 : 0x22ca,
+    'scrB'                   : 0x212c,
+    'scrE'                   : 0x2130,
+    'scrF'                   : 0x2131,
+    'scrH'                   : 0x210b,
+    'scrI'                   : 0x2110,
+    'scrL'                   : 0x2112,
+    'scrM'                   : 0x2133,
+    'scrR'                   : 0x211b,
+    'scre'                   : 0x212f,
+    'scrg'                   : 0x210a,
+    'scro'                   : 0x2134,
+    'scurel'                 : 0x22b1,
+    'searrow'                : 0x2198,
+    'setminus'               : 0x2216,
+    'sharp'                  : 0x266f,
+    'sigma'                  : 0x3c3,
+    'sim'                    : 0x223c,
+    'simeq'                  : 0x2243,
+    'simneqq'                : 0x2246,
+    'sinewave'               : 0x223f,
+    'slash'                  : 0x2215,
+    'smallin'                : 0x220a,
+    'smallintclockwise'      : 0x2231,
+    'smallointctrcclockwise' : 0x2233,
+    'smallowns'              : 0x220d,
+    'smallsetminus'          : 0x2216,
+    'smallvarointclockwise'  : 0x2232,
+    'smile'                  : 0x2323,
+    'solbar'                 : 0x233f,
+    'spadesuit'              : 0x2660,
+    'spadesuitopen'          : 0x2664,
+    'sphericalangle'         : 0x2222,
+    'sqcap'                  : 0x2293,
+    'sqcup'                  : 0x2294,
+    'sqsubset'               : 0x228f,
+    'sqsubseteq'             : 0x2291,
+    'sqsubsetneq'            : 0x22e4,
+    'sqsupset'               : 0x2290,
+    'sqsupseteq'             : 0x2292,
+    'sqsupsetneq'            : 0x22e5,
+    'ss'                     : 0xdf,
+    'star'                   : 0x22c6,
+    'stareq'                 : 0x225b,
+    'sterling'               : 0xa3,
+    'subset'                 : 0x2282,
+    'subseteq'               : 0x2286,
+    'subseteqq'              : 0x2ac5,
+    'subsetneq'              : 0x228a,
+    'subsetneqq'             : 0x2acb,
+    'succ'                   : 0x227b,
+    'succapprox'             : 0x2ab8,
+    'succcurlyeq'            : 0x227d,
+    'succeq'                 : 0x227d,
+    'succnapprox'            : 0x2aba,
+    'succnsim'               : 0x22e9,
+    'succsim'                : 0x227f,
+    'sum'                    : 0x2211,
+    'supset'                 : 0x2283,
+    'supseteq'               : 0x2287,
+    'supseteqq'              : 0x2ac6,
+    'supsetneq'              : 0x228b,
+    'supsetneqq'             : 0x2acc,
+    'swarrow'                : 0x2199,
+    't'                      : 0x361,
+    'tau'                    : 0x3c4,
+    'textasciiacute'         : 0xb4,
+    'textasciicircum'        : 0x5e,
+    'textasciigrave'         : 0x60,
+    'textasciitilde'         : 0x7e,
+    'textexclamdown'         : 0xa1,
+    'textquestiondown'       : 0xbf,
+    'textquotedblleft'       : 0x201c,
+    'textquotedblright'      : 0x201d,
+    'therefore'              : 0x2234,
+    'theta'                  : 0x3b8,
+    'thickspace'             : 0x2005,
+    'thorn'                  : 0xfe,
+    'tilde'                  : 0x303,
+    'times'                  : 0xd7,
+    'to'                     : 0x2192,
+    'top'                    : 0x22a4,
+    'triangle'               : 0x25b3,
+    'triangledown'           : 0x25bf,
+    'triangleeq'             : 0x225c,
+    'triangleleft'           : 0x25c1,
+    'trianglelefteq'         : 0x22b4,
+    'triangleq'              : 0x225c,
+    'triangleright'          : 0x25b7,
+    'trianglerighteq'        : 0x22b5,
+    'turnednot'              : 0x2319,
+    'twoheaddownarrow'       : 0x21a1,
+    'twoheadleftarrow'       : 0x219e,
+    'twoheadrightarrow'      : 0x21a0,
+    'twoheaduparrow'         : 0x219f,
+    'ulcorner'               : 0x231c,
+    'underbar'               : 0x331,
+    'unlhd'                  : 0x22b4,
+    'unrhd'                  : 0x22b5,
+    'uparrow'                : 0x2191,
+    'updownarrow'            : 0x2195,
+    'updownarrowbar'         : 0x21a8,
+    'updownarrows'           : 0x21c5,
+    'upharpoonleft'          : 0x21bf,
+    'upharpoonright'         : 0x21be,
+    'uplus'                  : 0x228e,
+    'upsilon'                : 0x3c5,
+    'upuparrows'             : 0x21c8,
+    'urcorner'               : 0x231d,
+    'vDash'                  : 0x22a8,
+    'varepsilon'             : 0x3b5,
+    'varisinobar'            : 0x22f6,
+    'varisins'               : 0x22f3,
+    'varkappa'               : 0x3f0,
+    'varlrtriangle'          : 0x22bf,
+    'varniobar'              : 0x22fd,
+    'varnis'                 : 0x22fb,
+    'varnothing'             : 0x2205,
+    'varphi'                 : 0x3c6,
+    'varpi'                  : 0x3d6,
+    'varpropto'              : 0x221d,
+    'varrho'                 : 0x3f1,
+    'varsigma'               : 0x3c2,
+    'vartheta'               : 0x3d1,
+    'vartriangle'            : 0x25b5,
+    'vartriangleleft'        : 0x22b2,
+    'vartriangleright'       : 0x22b3,
+    'vdash'                  : 0x22a2,
+    'vdots'                  : 0x22ee,
+    'vec'                    : 0x20d7,
+    'vee'                    : 0x2228,
+    'veebar'                 : 0x22bb,
+    'veeeq'                  : 0x225a,
+    'vert'                   : 0x7c,
+    'wedge'                  : 0x2227,
+    'wedgeq'                 : 0x2259,
+    'widebar'                : 0x305,
+    'widehat'                : 0x302,
+    'widetilde'              : 0x303,
+    'wp'                     : 0x2118,
+    'wr'                     : 0x2240,
+    'xi'                     : 0x3be,
+    'yen'                    : 0xa5,
+    'zeta'                   : 0x3b6,
+    '{'                      : 0x7b,
+    '|'                      : 0x2016,
+    '}'                      : 0x7d,
 }
 
 # Each element is a 4-tuple of the form:
 #   src_start, src_end, dst_font, dst_start
-#
-stix_virtual_fonts = {
-    'bb':
-        {
-        'rm':
-            [
-            (0x0030, 0x0039, 'rm', 0x1d7d8), # 0-9
-            (0x0041, 0x0042, 'rm', 0x1d538), # A-B
-            (0x0043, 0x0043, 'rm', 0x2102),  # C
-            (0x0044, 0x0047, 'rm', 0x1d53b), # D-G
-            (0x0048, 0x0048, 'rm', 0x210d),  # H
-            (0x0049, 0x004d, 'rm', 0x1d540), # I-M
-            (0x004e, 0x004e, 'rm', 0x2115),  # N
-            (0x004f, 0x004f, 'rm', 0x1d546), # O
-            (0x0050, 0x0051, 'rm', 0x2119),  # P-Q
-            (0x0052, 0x0052, 'rm', 0x211d),  # R
-            (0x0053, 0x0059, 'rm', 0x1d54a), # S-Y
-            (0x005a, 0x005a, 'rm', 0x2124),  # Z
-            (0x0061, 0x007a, 'rm', 0x1d552), # a-z
-            (0x0393, 0x0393, 'rm', 0x213e),  # \Gamma
-            (0x03a0, 0x03a0, 'rm', 0x213f),  # \Pi
-            (0x03a3, 0x03a3, 'rm', 0x2140),  # \Sigma
-            (0x03b3, 0x03b3, 'rm', 0x213d),  # \gamma
-            (0x03c0, 0x03c0, 'rm', 0x213c),  # \pi
-            ],
-        'it':
-            [
-            (0x0030, 0x0039, 'rm', 0x1d7d8), # 0-9
-            (0x0041, 0x0042, 'it', 0xe154),  # A-B
-            (0x0043, 0x0043, 'it', 0x2102),  # C
-            (0x0044, 0x0044, 'it', 0x2145),  # D
-            (0x0045, 0x0047, 'it', 0xe156),  # E-G
-            (0x0048, 0x0048, 'it', 0x210d),  # H
-            (0x0049, 0x004d, 'it', 0xe159),  # I-M
-            (0x004e, 0x004e, 'it', 0x2115),  # N
-            (0x004f, 0x004f, 'it', 0xe15e),  # O
-            (0x0050, 0x0051, 'it', 0x2119),  # P-Q
-            (0x0052, 0x0052, 'it', 0x211d),  # R
-            (0x0053, 0x0059, 'it', 0xe15f),  # S-Y
-            (0x005a, 0x005a, 'it', 0x2124),  # Z
-            (0x0061, 0x0063, 'it', 0xe166),  # a-c
-            (0x0064, 0x0065, 'it', 0x2146),  # d-e
-            (0x0066, 0x0068, 'it', 0xe169),  # f-h
-            (0x0069, 0x006a, 'it', 0x2148),  # i-j
-            (0x006b, 0x007a, 'it', 0xe16c),  # k-z
-            (0x0393, 0x0393, 'it', 0x213e),  # \Gamma (missing in beta STIX fonts)
-            (0x03a0, 0x03a0, 'it', 0x213f),  # \Pi
-            (0x03a3, 0x03a3, 'it', 0x2140),  # \Sigma (missing in beta STIX fonts)
-            (0x03b3, 0x03b3, 'it', 0x213d),  # \gamma (missing in beta STIX fonts)
-            (0x03c0, 0x03c0, 'it', 0x213c),  # \pi
-            ],
-        'bf':
-            [
-            (0x0030, 0x0039, 'rm', 0x1d7d8), # 0-9
-            (0x0041, 0x0042, 'bf', 0xe38a),  # A-B
-            (0x0043, 0x0043, 'bf', 0x2102),  # C
-            (0x0044, 0x0044, 'bf', 0x2145),  # D
-            (0x0045, 0x0047, 'bf', 0xe38d),  # E-G
-            (0x0048, 0x0048, 'bf', 0x210d),  # H
-            (0x0049, 0x004d, 'bf', 0xe390),  # I-M
-            (0x004e, 0x004e, 'bf', 0x2115),  # N
-            (0x004f, 0x004f, 'bf', 0xe395),  # O
-            (0x0050, 0x0051, 'bf', 0x2119),  # P-Q
-            (0x0052, 0x0052, 'bf', 0x211d),  # R
-            (0x0053, 0x0059, 'bf', 0xe396),  # S-Y
-            (0x005a, 0x005a, 'bf', 0x2124),  # Z
-            (0x0061, 0x0063, 'bf', 0xe39d),  # a-c
-            (0x0064, 0x0065, 'bf', 0x2146),  # d-e
-            (0x0066, 0x0068, 'bf', 0xe3a2),  # f-h
-            (0x0069, 0x006a, 'bf', 0x2148),  # i-j
-            (0x006b, 0x007a, 'bf', 0xe3a7),  # k-z
-            (0x0393, 0x0393, 'bf', 0x213e),  # \Gamma
-            (0x03a0, 0x03a0, 'bf', 0x213f),  # \Pi
-            (0x03a3, 0x03a3, 'bf', 0x2140),  # \Sigma
-            (0x03b3, 0x03b3, 'bf', 0x213d),  # \gamma
-            (0x03c0, 0x03c0, 'bf', 0x213c),  # \pi
-            ],
-        },
-    'cal':
-        [
-        (0x0041, 0x005a, 'it', 0xe22d), # A-Z
+
+_EntryTypeIn = tuple[str, str, str, str | int]
+_EntryTypeOut = tuple[int, int, str, int]
+
+_stix_virtual_fonts: dict[str, dict[str, list[_EntryTypeIn]] | list[_EntryTypeIn]] = {
+    'bb': {
+        "rm": [
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER B}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK CAPITAL A}"),
+            ("\N{LATIN CAPITAL LETTER C}",
+             "\N{LATIN CAPITAL LETTER C}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL C}"),
+            ("\N{LATIN CAPITAL LETTER D}",
+             "\N{LATIN CAPITAL LETTER G}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK CAPITAL D}"),
+            ("\N{LATIN CAPITAL LETTER H}",
+             "\N{LATIN CAPITAL LETTER H}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL H}"),
+            ("\N{LATIN CAPITAL LETTER I}",
+             "\N{LATIN CAPITAL LETTER M}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK CAPITAL I}"),
+            ("\N{LATIN CAPITAL LETTER N}",
+             "\N{LATIN CAPITAL LETTER N}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL N}"),
+            ("\N{LATIN CAPITAL LETTER O}",
+             "\N{LATIN CAPITAL LETTER O}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK CAPITAL O}"),
+            ("\N{LATIN CAPITAL LETTER P}",
+             "\N{LATIN CAPITAL LETTER Q}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL P}"),
+            ("\N{LATIN CAPITAL LETTER R}",
+             "\N{LATIN CAPITAL LETTER R}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL R}"),
+            ("\N{LATIN CAPITAL LETTER S}",
+             "\N{LATIN CAPITAL LETTER Y}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK CAPITAL S}"),
+            ("\N{LATIN CAPITAL LETTER Z}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL Z}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK SMALL A}"),
+            ("\N{GREEK CAPITAL LETTER GAMMA}",
+             "\N{GREEK CAPITAL LETTER GAMMA}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL GAMMA}"),
+            ("\N{GREEK CAPITAL LETTER PI}",
+             "\N{GREEK CAPITAL LETTER PI}",
+             "rm",
+             "\N{DOUBLE-STRUCK CAPITAL PI}"),
+            ("\N{GREEK CAPITAL LETTER SIGMA}",
+             "\N{GREEK CAPITAL LETTER SIGMA}",
+             "rm",
+             "\N{DOUBLE-STRUCK N-ARY SUMMATION}"),
+            ("\N{GREEK SMALL LETTER GAMMA}",
+             "\N{GREEK SMALL LETTER GAMMA}",
+             "rm",
+             "\N{DOUBLE-STRUCK SMALL GAMMA}"),
+            ("\N{GREEK SMALL LETTER PI}",
+             "\N{GREEK SMALL LETTER PI}",
+             "rm",
+             "\N{DOUBLE-STRUCK SMALL PI}"),
         ],
-    'circled':
-        {
-        'rm':
-            [
-            (0x0030, 0x0030, 'rm', 0x24ea), # 0
-            (0x0031, 0x0039, 'rm', 0x2460), # 1-9
-            (0x0041, 0x005a, 'rm', 0x24b6), # A-Z
-            (0x0061, 0x007a, 'rm', 0x24d0)  # a-z
-            ],
-        'it':
-            [
-            (0x0030, 0x0030, 'rm', 0x24ea), # 0
-            (0x0031, 0x0039, 'rm', 0x2460), # 1-9
-            (0x0041, 0x005a, 'it', 0x24b6), # A-Z
-            (0x0061, 0x007a, 'it', 0x24d0)  # a-z
-            ],
-        'bf':
-            [
-            (0x0030, 0x0030, 'bf', 0x24ea), # 0
-            (0x0031, 0x0039, 'bf', 0x2460), # 1-9
-            (0x0041, 0x005a, 'bf', 0x24b6), # A-Z
-            (0x0061, 0x007a, 'bf', 0x24d0)  # a-z
-            ],
-        },
-    'frak':
-        {
-        'rm':
-            [
-            (0x0041, 0x0042, 'rm', 0x1d504), # A-B
-            (0x0043, 0x0043, 'rm', 0x212d),  # C
-            (0x0044, 0x0047, 'rm', 0x1d507), # D-G
-            (0x0048, 0x0048, 'rm', 0x210c),  # H
-            (0x0049, 0x0049, 'rm', 0x2111),  # I
-            (0x004a, 0x0051, 'rm', 0x1d50d), # J-Q
-            (0x0052, 0x0052, 'rm', 0x211c),  # R
-            (0x0053, 0x0059, 'rm', 0x1d516), # S-Y
-            (0x005a, 0x005a, 'rm', 0x2128),  # Z
-            (0x0061, 0x007a, 'rm', 0x1d51e), # a-z
-            ],
-        'it':
-            [
-            (0x0041, 0x0042, 'rm', 0x1d504), # A-B
-            (0x0043, 0x0043, 'rm', 0x212d),  # C
-            (0x0044, 0x0047, 'rm', 0x1d507), # D-G
-            (0x0048, 0x0048, 'rm', 0x210c),  # H
-            (0x0049, 0x0049, 'rm', 0x2111),  # I
-            (0x004a, 0x0051, 'rm', 0x1d50d), # J-Q
-            (0x0052, 0x0052, 'rm', 0x211c),  # R
-            (0x0053, 0x0059, 'rm', 0x1d516), # S-Y
-            (0x005a, 0x005a, 'rm', 0x2128),  # Z
-            (0x0061, 0x007a, 'rm', 0x1d51e), # a-z
-            ],
-        'bf':
-            [
-            (0x0041, 0x005a, 'bf', 0x1d56c), # A-Z
-            (0x0061, 0x007a, 'bf', 0x1d586), # a-z
-            ],
-        },
-    'scr':
-        [
-        (0x0041, 0x0041, 'it', 0x1d49c), # A
-        (0x0042, 0x0042, 'it', 0x212c),  # B
-        (0x0043, 0x0044, 'it', 0x1d49e), # C-D
-        (0x0045, 0x0046, 'it', 0x2130),  # E-F
-        (0x0047, 0x0047, 'it', 0x1d4a2), # G
-        (0x0048, 0x0048, 'it', 0x210b),  # H
-        (0x0049, 0x0049, 'it', 0x2110),  # I
-        (0x004a, 0x004b, 'it', 0x1d4a5), # J-K
-        (0x004c, 0x004c, 'it', 0x2112),  # L
-        (0x004d, 0x003d, 'it', 0x2133),  # M
-        (0x004e, 0x0051, 'it', 0x1d4a9), # N-Q
-        (0x0052, 0x0052, 'it', 0x211b),  # R
-        (0x0053, 0x005a, 'it', 0x1d4ae), # S-Z
-        (0x0061, 0x0064, 'it', 0x1d4b6), # a-d
-        (0x0065, 0x0065, 'it', 0x212f),  # e
-        (0x0066, 0x0066, 'it', 0x1d4bb), # f
-        (0x0067, 0x0067, 'it', 0x210a),  # g
-        (0x0068, 0x006e, 'it', 0x1d4bd), # h-n
-        (0x006f, 0x006f, 'it', 0x2134),  # o
-        (0x0070, 0x007a, 'it', 0x1d4c5), # p-z
+        "it": [
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER B}",
+             "it",
+             0xe154),
+            ("\N{LATIN CAPITAL LETTER C}",
+             "\N{LATIN CAPITAL LETTER C}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL C}"),
+            ("\N{LATIN CAPITAL LETTER D}",
+             "\N{LATIN CAPITAL LETTER D}",
+             "it",
+             "\N{DOUBLE-STRUCK ITALIC CAPITAL D}"),
+            ("\N{LATIN CAPITAL LETTER E}",
+             "\N{LATIN CAPITAL LETTER G}",
+             "it",
+             0xe156),
+            ("\N{LATIN CAPITAL LETTER H}",
+             "\N{LATIN CAPITAL LETTER H}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL H}"),
+            ("\N{LATIN CAPITAL LETTER I}",
+             "\N{LATIN CAPITAL LETTER M}",
+             "it",
+             0xe159),
+            ("\N{LATIN CAPITAL LETTER N}",
+             "\N{LATIN CAPITAL LETTER N}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL N}"),
+            ("\N{LATIN CAPITAL LETTER O}",
+             "\N{LATIN CAPITAL LETTER O}",
+             "it",
+             0xe15e),
+            ("\N{LATIN CAPITAL LETTER P}",
+             "\N{LATIN CAPITAL LETTER Q}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL P}"),
+            ("\N{LATIN CAPITAL LETTER R}",
+             "\N{LATIN CAPITAL LETTER R}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL R}"),
+            ("\N{LATIN CAPITAL LETTER S}",
+             "\N{LATIN CAPITAL LETTER Y}",
+             "it",
+             0xe15f),
+            ("\N{LATIN CAPITAL LETTER Z}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL Z}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER C}",
+             "it",
+             0xe166),
+            ("\N{LATIN SMALL LETTER D}",
+             "\N{LATIN SMALL LETTER E}",
+             "it",
+             "\N{DOUBLE-STRUCK ITALIC SMALL D}"),
+            ("\N{LATIN SMALL LETTER F}",
+             "\N{LATIN SMALL LETTER H}",
+             "it",
+             0xe169),
+            ("\N{LATIN SMALL LETTER I}",
+             "\N{LATIN SMALL LETTER J}",
+             "it",
+             "\N{DOUBLE-STRUCK ITALIC SMALL I}"),
+            ("\N{LATIN SMALL LETTER K}",
+             "\N{LATIN SMALL LETTER Z}",
+             "it",
+             0xe16c),
+            ("\N{GREEK CAPITAL LETTER GAMMA}",
+             "\N{GREEK CAPITAL LETTER GAMMA}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL GAMMA}"),  # \Gamma (not in beta STIX fonts)
+            ("\N{GREEK CAPITAL LETTER PI}",
+             "\N{GREEK CAPITAL LETTER PI}",
+             "it",
+             "\N{DOUBLE-STRUCK CAPITAL PI}"),
+            ("\N{GREEK CAPITAL LETTER SIGMA}",
+             "\N{GREEK CAPITAL LETTER SIGMA}",
+             "it",
+             "\N{DOUBLE-STRUCK N-ARY SUMMATION}"),  # \Sigma (not in beta STIX fonts)
+            ("\N{GREEK SMALL LETTER GAMMA}",
+             "\N{GREEK SMALL LETTER GAMMA}",
+             "it",
+             "\N{DOUBLE-STRUCK SMALL GAMMA}"),  # \gamma (not in beta STIX fonts)
+            ("\N{GREEK SMALL LETTER PI}",
+             "\N{GREEK SMALL LETTER PI}",
+             "it",
+             "\N{DOUBLE-STRUCK SMALL PI}"),
+        ],
+        "bf": [
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "rm",
+             "\N{MATHEMATICAL DOUBLE-STRUCK DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER B}",
+             "bf",
+             0xe38a),
+            ("\N{LATIN CAPITAL LETTER C}",
+             "\N{LATIN CAPITAL LETTER C}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL C}"),
+            ("\N{LATIN CAPITAL LETTER D}",
+             "\N{LATIN CAPITAL LETTER D}",
+             "bf",
+             "\N{DOUBLE-STRUCK ITALIC CAPITAL D}"),
+            ("\N{LATIN CAPITAL LETTER E}",
+             "\N{LATIN CAPITAL LETTER G}",
+             "bf",
+             0xe38d),
+            ("\N{LATIN CAPITAL LETTER H}",
+             "\N{LATIN CAPITAL LETTER H}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL H}"),
+            ("\N{LATIN CAPITAL LETTER I}",
+             "\N{LATIN CAPITAL LETTER M}",
+             "bf",
+             0xe390),
+            ("\N{LATIN CAPITAL LETTER N}",
+             "\N{LATIN CAPITAL LETTER N}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL N}"),
+            ("\N{LATIN CAPITAL LETTER O}",
+             "\N{LATIN CAPITAL LETTER O}",
+             "bf",
+             0xe395),
+            ("\N{LATIN CAPITAL LETTER P}",
+             "\N{LATIN CAPITAL LETTER Q}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL P}"),
+            ("\N{LATIN CAPITAL LETTER R}",
+             "\N{LATIN CAPITAL LETTER R}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL R}"),
+            ("\N{LATIN CAPITAL LETTER S}",
+             "\N{LATIN CAPITAL LETTER Y}",
+             "bf",
+             0xe396),
+            ("\N{LATIN CAPITAL LETTER Z}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL Z}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER C}",
+             "bf",
+             0xe39d),
+            ("\N{LATIN SMALL LETTER D}",
+             "\N{LATIN SMALL LETTER E}",
+             "bf",
+             "\N{DOUBLE-STRUCK ITALIC SMALL D}"),
+            ("\N{LATIN SMALL LETTER F}",
+             "\N{LATIN SMALL LETTER H}",
+             "bf",
+             0xe3a2),
+            ("\N{LATIN SMALL LETTER I}",
+             "\N{LATIN SMALL LETTER J}",
+             "bf",
+             "\N{DOUBLE-STRUCK ITALIC SMALL I}"),
+            ("\N{LATIN SMALL LETTER K}",
+             "\N{LATIN SMALL LETTER Z}",
+             "bf",
+             0xe3a7),
+            ("\N{GREEK CAPITAL LETTER GAMMA}",
+             "\N{GREEK CAPITAL LETTER GAMMA}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL GAMMA}"),
+            ("\N{GREEK CAPITAL LETTER PI}",
+             "\N{GREEK CAPITAL LETTER PI}",
+             "bf",
+             "\N{DOUBLE-STRUCK CAPITAL PI}"),
+            ("\N{GREEK CAPITAL LETTER SIGMA}",
+             "\N{GREEK CAPITAL LETTER SIGMA}",
+             "bf",
+             "\N{DOUBLE-STRUCK N-ARY SUMMATION}"),
+            ("\N{GREEK SMALL LETTER GAMMA}",
+             "\N{GREEK SMALL LETTER GAMMA}",
+             "bf",
+             "\N{DOUBLE-STRUCK SMALL GAMMA}"),
+            ("\N{GREEK SMALL LETTER PI}",
+             "\N{GREEK SMALL LETTER PI}",
+             "bf",
+             "\N{DOUBLE-STRUCK SMALL PI}"),
         ],
-    'sf':
-        {
-        'rm':
-            [
-            (0x0030, 0x0039, 'rm', 0x1d7e2), # 0-9
-            (0x0041, 0x005a, 'rm', 0x1d5a0), # A-Z
-            (0x0061, 0x007a, 'rm', 0x1d5ba), # a-z
-            (0x0391, 0x03a9, 'rm', 0xe17d),  # \Alpha-\Omega
-            (0x03b1, 0x03c9, 'rm', 0xe196),  # \alpha-\omega
-            (0x03d1, 0x03d1, 'rm', 0xe1b0),  # theta variant
-            (0x03d5, 0x03d5, 'rm', 0xe1b1),  # phi variant
-            (0x03d6, 0x03d6, 'rm', 0xe1b3),  # pi variant
-            (0x03f1, 0x03f1, 'rm', 0xe1b2),  # rho variant
-            (0x03f5, 0x03f5, 'rm', 0xe1af),  # lunate epsilon
-            (0x2202, 0x2202, 'rm', 0xe17c),  # partial differential
+    },
+    'cal': [
+        ("\N{LATIN CAPITAL LETTER A}",
+         "\N{LATIN CAPITAL LETTER Z}",
+         "it",
+         0xe22d),
+    ],
+    'frak': {
+        "rm": [
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER B}",
+             "rm",
+             "\N{MATHEMATICAL FRAKTUR CAPITAL A}"),
+            ("\N{LATIN CAPITAL LETTER C}",
+             "\N{LATIN CAPITAL LETTER C}",
+             "rm",
+             "\N{BLACK-LETTER CAPITAL C}"),
+            ("\N{LATIN CAPITAL LETTER D}",
+             "\N{LATIN CAPITAL LETTER G}",
+             "rm",
+             "\N{MATHEMATICAL FRAKTUR CAPITAL D}"),
+            ("\N{LATIN CAPITAL LETTER H}",
+             "\N{LATIN CAPITAL LETTER H}",
+             "rm",
+             "\N{BLACK-LETTER CAPITAL H}"),
+            ("\N{LATIN CAPITAL LETTER I}",
+             "\N{LATIN CAPITAL LETTER I}",
+             "rm",
+             "\N{BLACK-LETTER CAPITAL I}"),
+            ("\N{LATIN CAPITAL LETTER J}",
+             "\N{LATIN CAPITAL LETTER Q}",
+             "rm",
+             "\N{MATHEMATICAL FRAKTUR CAPITAL J}"),
+            ("\N{LATIN CAPITAL LETTER R}",
+             "\N{LATIN CAPITAL LETTER R}",
+             "rm",
+             "\N{BLACK-LETTER CAPITAL R}"),
+            ("\N{LATIN CAPITAL LETTER S}",
+             "\N{LATIN CAPITAL LETTER Y}",
+             "rm",
+             "\N{MATHEMATICAL FRAKTUR CAPITAL S}"),
+            ("\N{LATIN CAPITAL LETTER Z}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "rm",
+             "\N{BLACK-LETTER CAPITAL Z}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "rm",
+             "\N{MATHEMATICAL FRAKTUR SMALL A}"),
             ],
-        'it':
-            [
+        "bf": [
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "bf",
+             "\N{MATHEMATICAL BOLD FRAKTUR CAPITAL A}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "bf",
+             "\N{MATHEMATICAL BOLD FRAKTUR SMALL A}"),
+        ],
+    },
+    'scr': [
+        ("\N{LATIN CAPITAL LETTER A}",
+         "\N{LATIN CAPITAL LETTER A}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL A}"),
+        ("\N{LATIN CAPITAL LETTER B}",
+         "\N{LATIN CAPITAL LETTER B}",
+         "it",
+         "\N{SCRIPT CAPITAL B}"),
+        ("\N{LATIN CAPITAL LETTER C}",
+         "\N{LATIN CAPITAL LETTER D}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL C}"),
+        ("\N{LATIN CAPITAL LETTER E}",
+         "\N{LATIN CAPITAL LETTER F}",
+         "it",
+         "\N{SCRIPT CAPITAL E}"),
+        ("\N{LATIN CAPITAL LETTER G}",
+         "\N{LATIN CAPITAL LETTER G}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL G}"),
+        ("\N{LATIN CAPITAL LETTER H}",
+         "\N{LATIN CAPITAL LETTER H}",
+         "it",
+         "\N{SCRIPT CAPITAL H}"),
+        ("\N{LATIN CAPITAL LETTER I}",
+         "\N{LATIN CAPITAL LETTER I}",
+         "it",
+         "\N{SCRIPT CAPITAL I}"),
+        ("\N{LATIN CAPITAL LETTER J}",
+         "\N{LATIN CAPITAL LETTER K}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL J}"),
+        ("\N{LATIN CAPITAL LETTER L}",
+         "\N{LATIN CAPITAL LETTER L}",
+         "it",
+         "\N{SCRIPT CAPITAL L}"),
+        ("\N{LATIN CAPITAL LETTER M}",
+         "\N{LATIN CAPITAL LETTER M}",
+         "it",
+         "\N{SCRIPT CAPITAL M}"),
+        ("\N{LATIN CAPITAL LETTER N}",
+         "\N{LATIN CAPITAL LETTER Q}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL N}"),
+        ("\N{LATIN CAPITAL LETTER R}",
+         "\N{LATIN CAPITAL LETTER R}",
+         "it",
+         "\N{SCRIPT CAPITAL R}"),
+        ("\N{LATIN CAPITAL LETTER S}",
+         "\N{LATIN CAPITAL LETTER Z}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT CAPITAL S}"),
+        ("\N{LATIN SMALL LETTER A}",
+         "\N{LATIN SMALL LETTER D}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT SMALL A}"),
+        ("\N{LATIN SMALL LETTER E}",
+         "\N{LATIN SMALL LETTER E}",
+         "it",
+         "\N{SCRIPT SMALL E}"),
+        ("\N{LATIN SMALL LETTER F}",
+         "\N{LATIN SMALL LETTER F}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT SMALL F}"),
+        ("\N{LATIN SMALL LETTER G}",
+         "\N{LATIN SMALL LETTER G}",
+         "it",
+         "\N{SCRIPT SMALL G}"),
+        ("\N{LATIN SMALL LETTER H}",
+         "\N{LATIN SMALL LETTER N}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT SMALL H}"),
+        ("\N{LATIN SMALL LETTER O}",
+         "\N{LATIN SMALL LETTER O}",
+         "it",
+         "\N{SCRIPT SMALL O}"),
+        ("\N{LATIN SMALL LETTER P}",
+         "\N{LATIN SMALL LETTER Z}",
+         "it",
+         "\N{MATHEMATICAL SCRIPT SMALL P}"),
+    ],
+    'sf': {
+        "rm": [
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "rm",
+             "\N{MATHEMATICAL SANS-SERIF DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "rm",
+             "\N{MATHEMATICAL SANS-SERIF CAPITAL A}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "rm",
+             "\N{MATHEMATICAL SANS-SERIF SMALL A}"),
+            ("\N{GREEK CAPITAL LETTER ALPHA}",
+             "\N{GREEK CAPITAL LETTER OMEGA}",
+             "rm",
+             0xe17d),
+            ("\N{GREEK SMALL LETTER ALPHA}",
+             "\N{GREEK SMALL LETTER OMEGA}",
+             "rm",
+             0xe196),
+            ("\N{GREEK THETA SYMBOL}",
+             "\N{GREEK THETA SYMBOL}",
+             "rm",
+             0xe1b0),
+            ("\N{GREEK PHI SYMBOL}",
+             "\N{GREEK PHI SYMBOL}",
+             "rm",
+             0xe1b1),
+            ("\N{GREEK PI SYMBOL}",
+             "\N{GREEK PI SYMBOL}",
+             "rm",
+             0xe1b3),
+            ("\N{GREEK RHO SYMBOL}",
+             "\N{GREEK RHO SYMBOL}",
+             "rm",
+             0xe1b2),
+            ("\N{GREEK LUNATE EPSILON SYMBOL}",
+             "\N{GREEK LUNATE EPSILON SYMBOL}",
+             "rm",
+             0xe1af),
+            ("\N{PARTIAL DIFFERENTIAL}",
+             "\N{PARTIAL DIFFERENTIAL}",
+             "rm",
+             0xe17c),
+        ],
+        "it": [
             # These numerals are actually upright.  We don't actually
             # want italic numerals ever.
-            (0x0030, 0x0039, 'rm', 0x1d7e2), # 0-9
-            (0x0041, 0x005a, 'it', 0x1d608), # A-Z
-            (0x0061, 0x007a, 'it', 0x1d622), # a-z
-            (0x0391, 0x03a9, 'rm', 0xe17d),  # \Alpha-\Omega
-            (0x03b1, 0x03c9, 'it', 0xe1d8),  # \alpha-\omega
-            (0x03d1, 0x03d1, 'it', 0xe1f2),  # theta variant
-            (0x03d5, 0x03d5, 'it', 0xe1f3),  # phi variant
-            (0x03d6, 0x03d6, 'it', 0xe1f5),  # pi variant
-            (0x03f1, 0x03f1, 'it', 0xe1f4),  # rho variant
-            (0x03f5, 0x03f5, 'it', 0xe1f1),  # lunate epsilon
-            ],
-        'bf':
-            [
-            (0x0030, 0x0039, 'bf', 0x1d7ec), # 0-9
-            (0x0041, 0x005a, 'bf', 0x1d5d4), # A-Z
-            (0x0061, 0x007a, 'bf', 0x1d5ee), # a-z
-            (0x0391, 0x03a9, 'bf', 0x1d756), # \Alpha-\Omega
-            (0x03b1, 0x03c9, 'bf', 0x1d770), # \alpha-\omega
-            (0x03d1, 0x03d1, 'bf', 0x1d78b), # theta variant
-            (0x03d5, 0x03d5, 'bf', 0x1d78d), # phi variant
-            (0x03d6, 0x03d6, 'bf', 0x1d78f), # pi variant
-            (0x03f0, 0x03f0, 'bf', 0x1d78c), # kappa variant
-            (0x03f1, 0x03f1, 'bf', 0x1d78e), # rho variant
-            (0x03f5, 0x03f5, 'bf', 0x1d78a), # lunate epsilon
-            (0x2202, 0x2202, 'bf', 0x1d789), # partial differential
-            (0x2207, 0x2207, 'bf', 0x1d76f), # \Nabla
-            ],
-        },
-    'tt':
-        [
-        (0x0030, 0x0039, 'rm', 0x1d7f6), # 0-9
-        (0x0041, 0x005a, 'rm', 0x1d670), # A-Z
-        (0x0061, 0x007a, 'rm', 0x1d68a)  # a-z
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "rm",
+             "\N{MATHEMATICAL SANS-SERIF DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "it",
+             "\N{MATHEMATICAL SANS-SERIF ITALIC CAPITAL A}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "it",
+             "\N{MATHEMATICAL SANS-SERIF ITALIC SMALL A}"),
+            ("\N{GREEK CAPITAL LETTER ALPHA}",
+             "\N{GREEK CAPITAL LETTER OMEGA}",
+             "rm",
+             0xe17d),
+            ("\N{GREEK SMALL LETTER ALPHA}",
+             "\N{GREEK SMALL LETTER OMEGA}",
+             "it",
+             0xe1d8),
+            ("\N{GREEK THETA SYMBOL}",
+             "\N{GREEK THETA SYMBOL}",
+             "it",
+             0xe1f2),
+            ("\N{GREEK PHI SYMBOL}",
+             "\N{GREEK PHI SYMBOL}",
+             "it",
+             0xe1f3),
+            ("\N{GREEK PI SYMBOL}",
+             "\N{GREEK PI SYMBOL}",
+             "it",
+             0xe1f5),
+            ("\N{GREEK RHO SYMBOL}",
+             "\N{GREEK RHO SYMBOL}",
+             "it",
+             0xe1f4),
+            ("\N{GREEK LUNATE EPSILON SYMBOL}",
+             "\N{GREEK LUNATE EPSILON SYMBOL}",
+             "it",
+             0xe1f1),
         ],
-    }
+        "bf": [
+            ("\N{DIGIT ZERO}",
+             "\N{DIGIT NINE}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD DIGIT ZERO}"),
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD CAPITAL A}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD SMALL A}"),
+            ("\N{GREEK CAPITAL LETTER ALPHA}",
+             "\N{GREEK CAPITAL LETTER OMEGA}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD CAPITAL ALPHA}"),
+            ("\N{GREEK SMALL LETTER ALPHA}",
+             "\N{GREEK SMALL LETTER OMEGA}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD SMALL ALPHA}"),
+            ("\N{GREEK THETA SYMBOL}",
+             "\N{GREEK THETA SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD THETA SYMBOL}"),
+            ("\N{GREEK PHI SYMBOL}",
+             "\N{GREEK PHI SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD PHI SYMBOL}"),
+            ("\N{GREEK PI SYMBOL}",
+             "\N{GREEK PI SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD PI SYMBOL}"),
+            ("\N{GREEK KAPPA SYMBOL}",
+             "\N{GREEK KAPPA SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD KAPPA SYMBOL}"),
+            ("\N{GREEK RHO SYMBOL}",
+             "\N{GREEK RHO SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD RHO SYMBOL}"),
+            ("\N{GREEK LUNATE EPSILON SYMBOL}",
+             "\N{GREEK LUNATE EPSILON SYMBOL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD EPSILON SYMBOL}"),
+            ("\N{PARTIAL DIFFERENTIAL}",
+             "\N{PARTIAL DIFFERENTIAL}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD PARTIAL DIFFERENTIAL}"),
+            ("\N{NABLA}",
+             "\N{NABLA}",
+             "bf",
+             "\N{MATHEMATICAL SANS-SERIF BOLD NABLA}"),
+        ],
+        "bfit": [
+            ("\N{LATIN CAPITAL LETTER A}",
+             "\N{LATIN CAPITAL LETTER Z}",
+             "bfit",
+             "\N{MATHEMATICAL BOLD ITALIC CAPITAL A}"),
+            ("\N{LATIN SMALL LETTER A}",
+             "\N{LATIN SMALL LETTER Z}",
+             "bfit",
+             "\N{MATHEMATICAL BOLD ITALIC SMALL A}"),
+            ("\N{GREEK CAPITAL LETTER GAMMA}",
+             "\N{GREEK CAPITAL LETTER OMEGA}",
+             "bfit",
+             "\N{MATHEMATICAL BOLD ITALIC CAPITAL GAMMA}"),
+            ("\N{GREEK SMALL LETTER ALPHA}",
+             "\N{GREEK SMALL LETTER OMEGA}",
+             "bfit",
+             "\N{MATHEMATICAL BOLD ITALIC SMALL ALPHA}"),
+        ],
+    },
+    'tt': [
+        ("\N{DIGIT ZERO}",
+         "\N{DIGIT NINE}",
+         "rm",
+         "\N{MATHEMATICAL MONOSPACE DIGIT ZERO}"),
+        ("\N{LATIN CAPITAL LETTER A}",
+         "\N{LATIN CAPITAL LETTER Z}",
+         "rm",
+         "\N{MATHEMATICAL MONOSPACE CAPITAL A}"),
+        ("\N{LATIN SMALL LETTER A}",
+         "\N{LATIN SMALL LETTER Z}",
+         "rm",
+         "\N{MATHEMATICAL MONOSPACE SMALL A}")
+    ],
+}
+
+
+@overload
+def _normalize_stix_fontcodes(d: _EntryTypeIn) -> _EntryTypeOut: ...
+
+
+@overload
+def _normalize_stix_fontcodes(d: list[_EntryTypeIn]) -> list[_EntryTypeOut]: ...
+
+
+@overload
+def _normalize_stix_fontcodes(d: dict[str, list[_EntryTypeIn] |
+                                      dict[str, list[_EntryTypeIn]]]
+                              ) -> dict[str, list[_EntryTypeOut] |
+                                        dict[str, list[_EntryTypeOut]]]: ...
+
+
+def _normalize_stix_fontcodes(d):
+    if isinstance(d, tuple):
+        return tuple(ord(x) if isinstance(x, str) and len(x) == 1 else x for x in d)
+    elif isinstance(d, list):
+        return [_normalize_stix_fontcodes(x) for x in d]
+    elif isinstance(d, dict):
+        return {k: _normalize_stix_fontcodes(v) for k, v in d.items()}
+
+
+stix_virtual_fonts: dict[str, dict[str, list[_EntryTypeOut]] | list[_EntryTypeOut]]
+stix_virtual_fonts = _normalize_stix_fontcodes(_stix_virtual_fonts)
+
+# Free redundant list now that it has been normalized
+del _stix_virtual_fonts
+
+# Fix some incorrect glyphs.
+stix_glyph_fixes = {
+    # Cap and Cup glyphs are swapped.
+    0x22d2: 0x22d3,
+    0x22d3: 0x22d2,
+}
diff --git a/lib/matplotlib/_path.pyi b/lib/matplotlib/_path.pyi
new file mode 100644
index 000000000000..ee9c46483ec9
--- /dev/null
+++ b/lib/matplotlib/_path.pyi
@@ -0,0 +1,8 @@
+from collections.abc import Sequence
+
+import numpy as np
+
+from .transforms import BboxBase
+
+def affine_transform(points: np.ndarray, trans: np.ndarray) -> np.ndarray: ...
+def count_bboxes_overlapping_bbox(bbox: BboxBase, bboxes: Sequence[BboxBase]) -> int: ...
diff --git a/lib/matplotlib/_pylab_helpers.py b/lib/matplotlib/_pylab_helpers.py
index 2ead0e88cac8..e3c3d98cb156 100644
--- a/lib/matplotlib/_pylab_helpers.py
+++ b/lib/matplotlib/_pylab_helpers.py
@@ -1,45 +1,40 @@
 """
-Manage figures for pyplot interface.
+Manage figures for the pyplot interface.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-import sys
-import gc
 import atexit
+from collections import OrderedDict
 
 
-def error_msg(msg):
-    print(msg, file=sys.stderr)
-
-
-class Gcf(object):
+class Gcf:
     """
-    Singleton to manage a set of integer-numbered figures.
-
-    This class is never instantiated; it consists of two class
-    attributes (a list and a dictionary), and a set of static
-    methods that operate on those attributes, accessing them
-    directly as class attributes.
-
-    Attributes:
-
-        *figs*:
-          dictionary of the form {*num*: *manager*, ...}
-
-        *_activeQue*:
-          list of *managers*, with active one at the end
-
+    Singleton to maintain the relation between figures and their managers, and
+    keep track of and "active" figure and manager.
+
+    The canvas of a figure created through pyplot is associated with a figure
+    manager, which handles the interaction between the figure and the backend.
+    pyplot keeps track of figure managers using an identifier, the "figure
+    number" or "manager number" (which can actually be any hashable value);
+    this number is available as the :attr:`number` attribute of the manager.
+
+    This class is never instantiated; it consists of an `OrderedDict` mapping
+    figure/manager numbers to managers, and a set of class methods that
+    manipulate this `OrderedDict`.
+
+    Attributes
+    ----------
+    figs : OrderedDict
+        `OrderedDict` mapping numbers to managers; the active manager is at the
+        end.
     """
-    _activeQue = []
-    figs = {}
+
+    figs = OrderedDict()
 
     @classmethod
     def get_fig_manager(cls, num):
         """
-        If figure manager *num* exists, make it the active
-        figure and return the manager; otherwise return *None*.
+        If manager number *num* exists, make it the active one and return it;
+        otherwise return *None*.
         """
         manager = cls.figs.get(num, None)
         if manager is not None:
@@ -49,92 +44,91 @@ def get_fig_manager(cls, num):
     @classmethod
     def destroy(cls, num):
         """
-        Try to remove all traces of figure *num*.
+        Destroy manager *num* -- either a manager instance or a manager number.
+
+        In the interactive backends, this is bound to the window "destroy" and
+        "delete" events.
 
-        In the interactive backends, this is bound to the
-        window "destroy" and "delete" events.
+        It is recommended to pass a manager instance, to avoid confusion when
+        two managers share the same number.
         """
-        if not cls.has_fignum(num):
-            return
-        manager = cls.figs[num]
-        manager.canvas.mpl_disconnect(manager._cidgcf)
-
-        # There must be a good reason for the following careful
-        # rebuilding of the activeQue; what is it?
-        oldQue = cls._activeQue[:]
-        cls._activeQue = []
-        for f in oldQue:
-            if f != manager:
-                cls._activeQue.append(f)
-
-        del cls.figs[num]
+        if all(hasattr(num, attr) for attr in ["num", "destroy"]):
+            manager = num
+            if cls.figs.get(manager.num) is manager:
+                cls.figs.pop(manager.num)
+        else:
+            try:
+                manager = cls.figs.pop(num)
+            except KeyError:
+                return
+        if hasattr(manager, "_cidgcf"):
+            manager.canvas.mpl_disconnect(manager._cidgcf)
         manager.destroy()
-        gc.collect(1)
 
     @classmethod
     def destroy_fig(cls, fig):
-        "*fig* is a Figure instance"
-        num = None
-        for manager in six.itervalues(cls.figs):
-            if manager.canvas.figure == fig:
-                num = manager.num
-                break
-        if num is not None:
-            cls.destroy(num)
+        """Destroy figure *fig*."""
+        manager = next((manager for manager in cls.figs.values()
+                       if manager.canvas.figure == fig), None)
+        if manager is not None:
+            cls.destroy(manager)
 
     @classmethod
     def destroy_all(cls):
+        """Destroy all figures."""
         for manager in list(cls.figs.values()):
             manager.canvas.mpl_disconnect(manager._cidgcf)
             manager.destroy()
-
-        cls._activeQue = []
         cls.figs.clear()
-        gc.collect(1)
 
     @classmethod
     def has_fignum(cls, num):
-        """
-        Return *True* if figure *num* exists.
-        """
+        """Return whether figure number *num* exists."""
         return num in cls.figs
 
     @classmethod
     def get_all_fig_managers(cls):
-        """
-        Return a list of figure managers.
-        """
+        """Return a list of figure managers."""
         return list(cls.figs.values())
 
     @classmethod
     def get_num_fig_managers(cls):
-        """
-        Return the number of figures being managed.
-        """
-        return len(cls.figs.values())
+        """Return the number of figures being managed."""
+        return len(cls.figs)
 
     @classmethod
     def get_active(cls):
-        """
-        Return the manager of the active figure, or *None*.
-        """
-        if len(cls._activeQue) == 0:
-            return None
-        else:
-            return cls._activeQue[-1]
+        """Return the active manager, or *None* if there is no manager."""
+        return next(reversed(cls.figs.values())) if cls.figs else None
+
+    @classmethod
+    def _set_new_active_manager(cls, manager):
+        """Adopt *manager* into pyplot and make it the active manager."""
+        if not hasattr(manager, "_cidgcf"):
+            manager._cidgcf = manager.canvas.mpl_connect(
+                "button_press_event", lambda event: cls.set_active(manager))
+        fig = manager.canvas.figure
+        fig._number = manager.num
+        label = fig.get_label()
+        if label:
+            manager.set_window_title(label)
+        cls.set_active(manager)
 
     @classmethod
     def set_active(cls, manager):
+        """Make *manager* the active manager."""
+        cls.figs[manager.num] = manager
+        cls.figs.move_to_end(manager.num)
+
+    @classmethod
+    def draw_all(cls, force=False):
         """
-        Make the figure corresponding to *manager* the active one.
+        Redraw all stale managed figures, or, if *force* is True, all managed
+        figures.
         """
-        oldQue = cls._activeQue[:]
-        cls._activeQue = []
-        for m in oldQue:
-            if m != manager:
-                cls._activeQue.append(m)
-        cls._activeQue.append(manager)
-        cls.figs[manager.num] = manager
+        for manager in cls.get_all_fig_managers():
+            if force or manager.canvas.figure.stale:
+                manager.canvas.draw_idle()
 
 
 atexit.register(Gcf.destroy_all)
diff --git a/lib/matplotlib/_pylab_helpers.pyi b/lib/matplotlib/_pylab_helpers.pyi
new file mode 100644
index 000000000000..bdd8cfba3173
--- /dev/null
+++ b/lib/matplotlib/_pylab_helpers.pyi
@@ -0,0 +1,29 @@
+from collections import OrderedDict
+
+from matplotlib.backend_bases import FigureManagerBase
+from matplotlib.figure import Figure
+
+class Gcf:
+    figs: OrderedDict[int, FigureManagerBase]
+    @classmethod
+    def get_fig_manager(cls, num: int) -> FigureManagerBase | None: ...
+    @classmethod
+    def destroy(cls, num: int | FigureManagerBase) -> None: ...
+    @classmethod
+    def destroy_fig(cls, fig: Figure) -> None: ...
+    @classmethod
+    def destroy_all(cls) -> None: ...
+    @classmethod
+    def has_fignum(cls, num: int) -> bool: ...
+    @classmethod
+    def get_all_fig_managers(cls) -> list[FigureManagerBase]: ...
+    @classmethod
+    def get_num_fig_managers(cls) -> int: ...
+    @classmethod
+    def get_active(cls) -> FigureManagerBase | None: ...
+    @classmethod
+    def _set_new_active_manager(cls, manager: FigureManagerBase) -> None: ...
+    @classmethod
+    def set_active(cls, manager: FigureManagerBase) -> None: ...
+    @classmethod
+    def draw_all(cls, force: bool = ...) -> None: ...
diff --git a/lib/matplotlib/compat/__init__.py b/lib/matplotlib/_qhull.pyi
similarity index 100%
rename from lib/matplotlib/compat/__init__.py
rename to lib/matplotlib/_qhull.pyi
diff --git a/lib/matplotlib/_text_helpers.py b/lib/matplotlib/_text_helpers.py
new file mode 100644
index 000000000000..b9603b114bc2
--- /dev/null
+++ b/lib/matplotlib/_text_helpers.py
@@ -0,0 +1,82 @@
+"""
+Low-level text helper utilities.
+"""
+
+from __future__ import annotations
+
+import dataclasses
+
+from . import _api
+from .ft2font import FT2Font, Kerning, LoadFlags
+
+
+@dataclasses.dataclass(frozen=True)
+class LayoutItem:
+    ft_object: FT2Font
+    char: str
+    glyph_idx: int
+    x: float
+    prev_kern: float
+
+
+def warn_on_missing_glyph(codepoint, fontnames):
+    _api.warn_external(
+        f"Glyph {codepoint} "
+        f"({chr(codepoint).encode('ascii', 'namereplace').decode('ascii')}) "
+        f"missing from font(s) {fontnames}.")
+
+    block = ("Hebrew" if 0x0590 <= codepoint <= 0x05ff else
+             "Arabic" if 0x0600 <= codepoint <= 0x06ff else
+             "Devanagari" if 0x0900 <= codepoint <= 0x097f else
+             "Bengali" if 0x0980 <= codepoint <= 0x09ff else
+             "Gurmukhi" if 0x0a00 <= codepoint <= 0x0a7f else
+             "Gujarati" if 0x0a80 <= codepoint <= 0x0aff else
+             "Oriya" if 0x0b00 <= codepoint <= 0x0b7f else
+             "Tamil" if 0x0b80 <= codepoint <= 0x0bff else
+             "Telugu" if 0x0c00 <= codepoint <= 0x0c7f else
+             "Kannada" if 0x0c80 <= codepoint <= 0x0cff else
+             "Malayalam" if 0x0d00 <= codepoint <= 0x0d7f else
+             "Sinhala" if 0x0d80 <= codepoint <= 0x0dff else
+             None)
+    if block:
+        _api.warn_external(
+            f"Matplotlib currently does not support {block} natively.")
+
+
+def layout(string, font, *, kern_mode=Kerning.DEFAULT):
+    """
+    Render *string* with *font*.
+
+    For each character in *string*, yield a LayoutItem instance. When such an instance
+    is yielded, the font's glyph is set to the corresponding character.
+
+    Parameters
+    ----------
+    string : str
+        The string to be rendered.
+    font : FT2Font
+        The font.
+    kern_mode : Kerning
+        A FreeType kerning mode.
+
+    Yields
+    ------
+    LayoutItem
+    """
+    x = 0
+    prev_glyph_idx = None
+    char_to_font = font._get_fontmap(string)
+    base_font = font
+    for char in string:
+        # This has done the fallback logic
+        font = char_to_font.get(char, base_font)
+        glyph_idx = font.get_char_index(ord(char))
+        kern = (
+            base_font.get_kerning(prev_glyph_idx, glyph_idx, kern_mode) / 64
+            if prev_glyph_idx is not None else 0.
+        )
+        x += kern
+        glyph = font.load_glyph(glyph_idx, flags=LoadFlags.NO_HINTING)
+        yield LayoutItem(font, char, glyph_idx, x, kern)
+        x += glyph.linearHoriAdvance / 65536
+        prev_glyph_idx = glyph_idx
diff --git a/lib/matplotlib/_tight_bbox.py b/lib/matplotlib/_tight_bbox.py
new file mode 100644
index 000000000000..7cd28dd031e6
--- /dev/null
+++ b/lib/matplotlib/_tight_bbox.py
@@ -0,0 +1,84 @@
+"""
+Helper module for the *bbox_inches* parameter in `.Figure.savefig`.
+"""
+
+from matplotlib.transforms import Bbox, TransformedBbox, Affine2D
+
+
+def adjust_bbox(fig, bbox_inches, renderer, fixed_dpi=None):
+    """
+    Temporarily adjust the figure so that only the specified area
+    (bbox_inches) is saved.
+
+    It modifies fig.bbox, fig.bbox_inches,
+    fig.transFigure._boxout, and fig.patch.  While the figure size
+    changes, the scale of the original figure is conserved.  A
+    function which restores the original values are returned.
+    """
+    origBbox = fig.bbox
+    origBboxInches = fig.bbox_inches
+    _boxout = fig.transFigure._boxout
+
+    old_aspect = []
+    locator_list = []
+    sentinel = object()
+    for ax in fig.axes:
+        locator = ax.get_axes_locator()
+        if locator is not None:
+            ax.apply_aspect(locator(ax, renderer))
+        locator_list.append(locator)
+        current_pos = ax.get_position(original=False).frozen()
+        ax.set_axes_locator(lambda a, r, _pos=current_pos: _pos)
+        # override the method that enforces the aspect ratio on the Axes
+        if 'apply_aspect' in ax.__dict__:
+            old_aspect.append(ax.apply_aspect)
+        else:
+            old_aspect.append(sentinel)
+        ax.apply_aspect = lambda pos=None: None
+
+    def restore_bbox():
+        for ax, loc, aspect in zip(fig.axes, locator_list, old_aspect):
+            ax.set_axes_locator(loc)
+            if aspect is sentinel:
+                # delete our no-op function which un-hides the original method
+                del ax.apply_aspect
+            else:
+                ax.apply_aspect = aspect
+
+        fig.bbox = origBbox
+        fig.bbox_inches = origBboxInches
+        fig.transFigure._boxout = _boxout
+        fig.transFigure.invalidate()
+        fig.patch.set_bounds(0, 0, 1, 1)
+
+    if fixed_dpi is None:
+        fixed_dpi = fig.dpi
+    tr = Affine2D().scale(fixed_dpi)
+    dpi_scale = fixed_dpi / fig.dpi
+
+    fig.bbox_inches = Bbox.from_bounds(0, 0, *bbox_inches.size)
+    x0, y0 = tr.transform(bbox_inches.p0)
+    w1, h1 = fig.bbox.size * dpi_scale
+    fig.transFigure._boxout = Bbox.from_bounds(-x0, -y0, w1, h1)
+    fig.transFigure.invalidate()
+
+    fig.bbox = TransformedBbox(fig.bbox_inches, tr)
+
+    fig.patch.set_bounds(x0 / w1, y0 / h1,
+                         fig.bbox.width / w1, fig.bbox.height / h1)
+
+    return restore_bbox
+
+
+def process_figure_for_rasterizing(fig, bbox_inches_restore, renderer, fixed_dpi=None):
+    """
+    A function that needs to be called when figure dpi changes during the
+    drawing (e.g., rasterizing).  It recovers the bbox and re-adjust it with
+    the new dpi.
+    """
+
+    bbox_inches, restore_bbox = bbox_inches_restore
+    restore_bbox()
+    r = adjust_bbox(fig, bbox_inches, renderer, fixed_dpi)
+
+    return bbox_inches, r
diff --git a/lib/matplotlib/_tight_layout.py b/lib/matplotlib/_tight_layout.py
new file mode 100644
index 000000000000..548da79fff04
--- /dev/null
+++ b/lib/matplotlib/_tight_layout.py
@@ -0,0 +1,301 @@
+"""
+Routines to adjust subplot params so that subplots are
+nicely fit in the figure. In doing so, only axis labels, tick labels, Axes
+titles and offsetboxes that are anchored to Axes are currently considered.
+
+Internally, this module assumes that the margins (left margin, etc.) which are
+differences between ``Axes.get_tightbbox`` and ``Axes.bbox`` are independent of
+Axes position. This may fail if ``Axes.adjustable`` is ``datalim`` as well as
+such cases as when left or right margin are affected by xlabel.
+"""
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import _api, artist as martist
+from matplotlib.font_manager import FontProperties
+from matplotlib.transforms import Bbox
+
+
+def _auto_adjust_subplotpars(
+        fig, renderer, shape, span_pairs, subplot_list,
+        ax_bbox_list=None, pad=1.08, h_pad=None, w_pad=None, rect=None):
+    """
+    Return a dict of subplot parameters to adjust spacing between subplots
+    or ``None`` if resulting Axes would have zero height or width.
+
+    Note that this function ignores geometry information of subplot itself, but
+    uses what is given by the *shape* and *subplot_list* parameters.  Also, the
+    results could be incorrect if some subplots have ``adjustable=datalim``.
+
+    Parameters
+    ----------
+    shape : tuple[int, int]
+        Number of rows and columns of the grid.
+    span_pairs : list[tuple[slice, slice]]
+        List of rowspans and colspans occupied by each subplot.
+    subplot_list : list of subplots
+        List of subplots that will be used to calculate optimal subplot_params.
+    pad : float
+        Padding between the figure edge and the edges of subplots, as a
+        fraction of the font size.
+    h_pad, w_pad : float
+        Padding (height/width) between edges of adjacent subplots, as a
+        fraction of the font size.  Defaults to *pad*.
+    rect : tuple
+        (left, bottom, right, top), default: None.
+    """
+    rows, cols = shape
+
+    font_size_inch = (FontProperties(
+        size=mpl.rcParams["font.size"]).get_size_in_points() / 72)
+    pad_inch = pad * font_size_inch
+    vpad_inch = h_pad * font_size_inch if h_pad is not None else pad_inch
+    hpad_inch = w_pad * font_size_inch if w_pad is not None else pad_inch
+
+    if len(span_pairs) != len(subplot_list) or len(subplot_list) == 0:
+        raise ValueError
+
+    if rect is None:
+        margin_left = margin_bottom = margin_right = margin_top = None
+    else:
+        margin_left, margin_bottom, _right, _top = rect
+        margin_right = 1 - _right if _right else None
+        margin_top = 1 - _top if _top else None
+
+    vspaces = np.zeros((rows + 1, cols))
+    hspaces = np.zeros((rows, cols + 1))
+
+    if ax_bbox_list is None:
+        ax_bbox_list = [
+            Bbox.union([ax.get_position(original=True) for ax in subplots])
+            for subplots in subplot_list]
+
+    for subplots, ax_bbox, (rowspan, colspan) in zip(
+            subplot_list, ax_bbox_list, span_pairs):
+        if all(not ax.get_visible() for ax in subplots):
+            continue
+
+        bb = []
+        for ax in subplots:
+            if ax.get_visible():
+                bb += [martist._get_tightbbox_for_layout_only(ax, renderer)]
+
+        tight_bbox_raw = Bbox.union(bb)
+        tight_bbox = fig.transFigure.inverted().transform_bbox(tight_bbox_raw)
+
+        hspaces[rowspan, colspan.start] += ax_bbox.xmin - tight_bbox.xmin  # l
+        hspaces[rowspan, colspan.stop] += tight_bbox.xmax - ax_bbox.xmax  # r
+        vspaces[rowspan.start, colspan] += tight_bbox.ymax - ax_bbox.ymax  # t
+        vspaces[rowspan.stop, colspan] += ax_bbox.ymin - tight_bbox.ymin  # b
+
+    fig_width_inch, fig_height_inch = fig.get_size_inches()
+
+    # margins can be negative for Axes with aspect applied, so use max(, 0) to
+    # make them nonnegative.
+    if not margin_left:
+        margin_left = max(hspaces[:, 0].max(), 0) + pad_inch/fig_width_inch
+        suplabel = fig._supylabel
+        if suplabel and suplabel.get_in_layout():
+            rel_width = fig.transFigure.inverted().transform_bbox(
+                suplabel.get_window_extent(renderer)).width
+            margin_left += rel_width + pad_inch/fig_width_inch
+    if not margin_right:
+        margin_right = max(hspaces[:, -1].max(), 0) + pad_inch/fig_width_inch
+    if not margin_top:
+        margin_top = max(vspaces[0, :].max(), 0) + pad_inch/fig_height_inch
+        if fig._suptitle and fig._suptitle.get_in_layout():
+            rel_height = fig.transFigure.inverted().transform_bbox(
+                fig._suptitle.get_window_extent(renderer)).height
+            margin_top += rel_height + pad_inch/fig_height_inch
+    if not margin_bottom:
+        margin_bottom = max(vspaces[-1, :].max(), 0) + pad_inch/fig_height_inch
+        suplabel = fig._supxlabel
+        if suplabel and suplabel.get_in_layout():
+            rel_height = fig.transFigure.inverted().transform_bbox(
+                suplabel.get_window_extent(renderer)).height
+            margin_bottom += rel_height + pad_inch/fig_height_inch
+
+    if margin_left + margin_right >= 1:
+        _api.warn_external('Tight layout not applied. The left and right '
+                           'margins cannot be made large enough to '
+                           'accommodate all Axes decorations.')
+        return None
+    if margin_bottom + margin_top >= 1:
+        _api.warn_external('Tight layout not applied. The bottom and top '
+                           'margins cannot be made large enough to '
+                           'accommodate all Axes decorations.')
+        return None
+
+    kwargs = dict(left=margin_left,
+                  right=1 - margin_right,
+                  bottom=margin_bottom,
+                  top=1 - margin_top)
+
+    if cols > 1:
+        hspace = hspaces[:, 1:-1].max() + hpad_inch / fig_width_inch
+        # axes widths:
+        h_axes = (1 - margin_right - margin_left - hspace * (cols - 1)) / cols
+        if h_axes < 0:
+            _api.warn_external('Tight layout not applied. tight_layout '
+                               'cannot make Axes width small enough to '
+                               'accommodate all Axes decorations')
+            return None
+        else:
+            kwargs["wspace"] = hspace / h_axes
+    if rows > 1:
+        vspace = vspaces[1:-1, :].max() + vpad_inch / fig_height_inch
+        v_axes = (1 - margin_top - margin_bottom - vspace * (rows - 1)) / rows
+        if v_axes < 0:
+            _api.warn_external('Tight layout not applied. tight_layout '
+                               'cannot make Axes height small enough to '
+                               'accommodate all Axes decorations.')
+            return None
+        else:
+            kwargs["hspace"] = vspace / v_axes
+
+    return kwargs
+
+
+def get_subplotspec_list(axes_list, grid_spec=None):
+    """
+    Return a list of subplotspec from the given list of Axes.
+
+    For an instance of Axes that does not support subplotspec, None is inserted
+    in the list.
+
+    If grid_spec is given, None is inserted for those not from the given
+    grid_spec.
+    """
+    subplotspec_list = []
+    for ax in axes_list:
+        axes_or_locator = ax.get_axes_locator()
+        if axes_or_locator is None:
+            axes_or_locator = ax
+
+        if hasattr(axes_or_locator, "get_subplotspec"):
+            subplotspec = axes_or_locator.get_subplotspec()
+            if subplotspec is not None:
+                subplotspec = subplotspec.get_topmost_subplotspec()
+                gs = subplotspec.get_gridspec()
+                if grid_spec is not None:
+                    if gs != grid_spec:
+                        subplotspec = None
+                elif gs.locally_modified_subplot_params():
+                    subplotspec = None
+        else:
+            subplotspec = None
+
+        subplotspec_list.append(subplotspec)
+
+    return subplotspec_list
+
+
+def get_tight_layout_figure(fig, axes_list, subplotspec_list, renderer,
+                            pad=1.08, h_pad=None, w_pad=None, rect=None):
+    """
+    Return subplot parameters for tight-layouted-figure with specified padding.
+
+    Parameters
+    ----------
+    fig : Figure
+    axes_list : list of Axes
+    subplotspec_list : list of `.SubplotSpec`
+        The subplotspecs of each Axes.
+    renderer : renderer
+    pad : float
+        Padding between the figure edge and the edges of subplots, as a
+        fraction of the font size.
+    h_pad, w_pad : float
+        Padding (height/width) between edges of adjacent subplots.  Defaults to
+        *pad*.
+    rect : tuple (left, bottom, right, top), default: None.
+        rectangle in normalized figure coordinates
+        that the whole subplots area (including labels) will fit into.
+        Defaults to using the entire figure.
+
+    Returns
+    -------
+    subplotspec or None
+        subplotspec kwargs to be passed to `.Figure.subplots_adjust` or
+        None if tight_layout could not be accomplished.
+    """
+
+    # Multiple Axes can share same subplotspec (e.g., if using axes_grid1);
+    # we need to group them together.
+    ss_to_subplots = {ss: [] for ss in subplotspec_list}
+    for ax, ss in zip(axes_list, subplotspec_list):
+        ss_to_subplots[ss].append(ax)
+    if ss_to_subplots.pop(None, None):
+        _api.warn_external(
+            "This figure includes Axes that are not compatible with "
+            "tight_layout, so results might be incorrect.")
+    if not ss_to_subplots:
+        return {}
+    subplot_list = list(ss_to_subplots.values())
+    ax_bbox_list = [ss.get_position(fig) for ss in ss_to_subplots]
+
+    max_nrows = max(ss.get_gridspec().nrows for ss in ss_to_subplots)
+    max_ncols = max(ss.get_gridspec().ncols for ss in ss_to_subplots)
+
+    span_pairs = []
+    for ss in ss_to_subplots:
+        # The intent here is to support Axes from different gridspecs where
+        # one's nrows (or ncols) is a multiple of the other (e.g. 2 and 4),
+        # but this doesn't actually work because the computed wspace, in
+        # relative-axes-height, corresponds to different physical spacings for
+        # the 2-row grid and the 4-row grid.  Still, this code is left, mostly
+        # for backcompat.
+        rows, cols = ss.get_gridspec().get_geometry()
+        div_row, mod_row = divmod(max_nrows, rows)
+        div_col, mod_col = divmod(max_ncols, cols)
+        if mod_row != 0:
+            _api.warn_external('tight_layout not applied: number of rows '
+                               'in subplot specifications must be '
+                               'multiples of one another.')
+            return {}
+        if mod_col != 0:
+            _api.warn_external('tight_layout not applied: number of '
+                               'columns in subplot specifications must be '
+                               'multiples of one another.')
+            return {}
+        span_pairs.append((
+            slice(ss.rowspan.start * div_row, ss.rowspan.stop * div_row),
+            slice(ss.colspan.start * div_col, ss.colspan.stop * div_col)))
+
+    kwargs = _auto_adjust_subplotpars(fig, renderer,
+                                      shape=(max_nrows, max_ncols),
+                                      span_pairs=span_pairs,
+                                      subplot_list=subplot_list,
+                                      ax_bbox_list=ax_bbox_list,
+                                      pad=pad, h_pad=h_pad, w_pad=w_pad)
+
+    # kwargs can be none if tight_layout fails...
+    if rect is not None and kwargs is not None:
+        # if rect is given, the whole subplots area (including
+        # labels) will fit into the rect instead of the
+        # figure. Note that the rect argument of
+        # *auto_adjust_subplotpars* specify the area that will be
+        # covered by the total area of axes.bbox. Thus we call
+        # auto_adjust_subplotpars twice, where the second run
+        # with adjusted rect parameters.
+
+        left, bottom, right, top = rect
+        if left is not None:
+            left += kwargs["left"]
+        if bottom is not None:
+            bottom += kwargs["bottom"]
+        if right is not None:
+            right -= (1 - kwargs["right"])
+        if top is not None:
+            top -= (1 - kwargs["top"])
+
+        kwargs = _auto_adjust_subplotpars(fig, renderer,
+                                          shape=(max_nrows, max_ncols),
+                                          span_pairs=span_pairs,
+                                          subplot_list=subplot_list,
+                                          ax_bbox_list=ax_bbox_list,
+                                          pad=pad, h_pad=h_pad, w_pad=w_pad,
+                                          rect=(left, bottom, right, top))
+
+    return kwargs
diff --git a/lib/matplotlib/_tri.pyi b/lib/matplotlib/_tri.pyi
new file mode 100644
index 000000000000..a0c710fc2309
--- /dev/null
+++ b/lib/matplotlib/_tri.pyi
@@ -0,0 +1,36 @@
+# This is a private module implemented in C++
+from typing import final
+
+import numpy as np
+import numpy.typing as npt
+
+@final
+class TrapezoidMapTriFinder:
+    def __init__(self, triangulation: Triangulation): ...
+    def find_many(self, x: npt.NDArray[np.float64], y: npt.NDArray[np.float64]) -> npt.NDArray[np.int_]: ...
+    def get_tree_stats(self) -> list[int | float]: ...
+    def initialize(self) -> None: ...
+    def print_tree(self) -> None: ...
+
+@final
+class TriContourGenerator:
+    def __init__(self, triangulation: Triangulation, z: npt.NDArray[np.float64]): ...
+    def create_contour(self, level: float) -> tuple[list[float], list[int]]: ...
+    def create_filled_contour(self, lower_level: float, upper_level: float) -> tuple[list[float], list[int]]: ...
+
+@final
+class Triangulation:
+    def __init__(
+        self,
+        x: npt.NDArray[np.float64],
+        y: npt.NDArray[np.float64],
+        triangles: npt.NDArray[np.int_],
+        mask: npt.NDArray[np.bool_] | tuple[()],
+        edges: npt.NDArray[np.int_] | tuple[()],
+        neighbors: npt.NDArray[np.int_] | tuple[()],
+        correct_triangle_orientation: bool,
+    ): ...
+    def calculate_plane_coefficients(self, z: npt.ArrayLike) -> npt.NDArray[np.float64]: ...
+    def get_edges(self) -> npt.NDArray[np.int_]: ...
+    def get_neighbors(self) -> npt.NDArray[np.int_]: ...
+    def set_mask(self, mask: npt.NDArray[np.bool_] | tuple[()]) -> None: ...
diff --git a/lib/matplotlib/_type1font.py b/lib/matplotlib/_type1font.py
new file mode 100644
index 000000000000..33b22adbae73
--- /dev/null
+++ b/lib/matplotlib/_type1font.py
@@ -0,0 +1,1208 @@
+"""
+A class representing a Type 1 font.
+
+This version reads pfa and pfb files and splits them for embedding in
+pdf files. It also supports SlantFont and ExtendFont transformations,
+similarly to pdfTeX and friends.
+
+Usage::
+
+    font = Type1Font(filename)
+    clear_part, encrypted_part, finale = font.parts
+    slanted_font = font.transform({'slant': 0.167})
+    extended_font = font.transform({'extend': 1.2})
+    subset_font = font.subset([ord(c) for c in 'Hello World'])
+
+Sources:
+
+* Adobe Technical Note #5040, Supporting Downloadable PostScript
+  Language Fonts.
+
+* Adobe Type 1 Font Format, Adobe Systems Incorporated, third printing,
+  v1.1, 1993. ISBN 0-201-57044-0.
+"""
+
+from __future__ import annotations
+
+import binascii
+import functools
+import itertools
+import logging
+import re
+import string
+import struct
+import typing as T
+
+import numpy as np
+
+from matplotlib.cbook import _format_approx
+from . import _api
+
+_log = logging.getLogger(__name__)
+
+
+class _Token:
+    """
+    A token in a PostScript stream.
+
+    Attributes
+    ----------
+    pos : int
+        Position, i.e. offset from the beginning of the data.
+    raw : str
+        Raw text of the token.
+    kind : str
+        Description of the token (for debugging or testing).
+    """
+    __slots__ = ('pos', 'raw')
+    kind = '?'
+
+    def __init__(self, pos, raw):
+        _log.debug('type1font._Token %s at %d: %r', self.kind, pos, raw)
+        self.pos = pos
+        self.raw = raw
+
+    def __str__(self):
+        return f"<{self.kind} {self.raw} @{self.pos}>"
+
+    def endpos(self):
+        """Position one past the end of the token"""
+        return self.pos + len(self.raw)
+
+    def is_keyword(self, *names):
+        """Is this a name token with one of the names?"""
+        return False
+
+    def is_slash_name(self):
+        """Is this a name token that starts with a slash?"""
+        return False
+
+    def is_delim(self):
+        """Is this a delimiter token?"""
+        return False
+
+    def is_number(self):
+        """Is this a number token?"""
+        return False
+
+    def value(self):
+        return self.raw
+
+
+class _NameToken(_Token):
+    kind = 'name'
+
+    def is_slash_name(self):
+        return self.raw.startswith('/')
+
+    def value(self):
+        return self.raw[1:]
+
+
+class _BooleanToken(_Token):
+    kind = 'boolean'
+
+    def value(self):
+        return self.raw == 'true'
+
+
+class _KeywordToken(_Token):
+    kind = 'keyword'
+
+    def is_keyword(self, *names):
+        return self.raw in names
+
+
+class _DelimiterToken(_Token):
+    kind = 'delimiter'
+
+    def is_delim(self):
+        return True
+
+    def opposite(self):
+        return {'[': ']', ']': '[',
+                '{': '}', '}': '{',
+                '<<': '>>', '>>': '<<'
+                }[self.raw]
+
+
+class _WhitespaceToken(_Token):
+    kind = 'whitespace'
+
+
+class _StringToken(_Token):
+    kind = 'string'
+    _escapes_re = re.compile(r'\\([\\()nrtbf]|[0-7]{1,3})')
+    _replacements = {'\\': '\\', '(': '(', ')': ')', 'n': '\n',
+                     'r': '\r', 't': '\t', 'b': '\b', 'f': '\f'}
+    _ws_re = re.compile('[\0\t\r\f\n ]')
+
+    @classmethod
+    def _escape(cls, match):
+        group = match.group(1)
+        try:
+            return cls._replacements[group]
+        except KeyError:
+            return chr(int(group, 8))
+
+    @functools.lru_cache
+    def value(self):
+        if self.raw[0] == '(':
+            return self._escapes_re.sub(self._escape, self.raw[1:-1])
+        else:
+            data = self._ws_re.sub('', self.raw[1:-1])
+            if len(data) % 2 == 1:
+                data += '0'
+            return binascii.unhexlify(data)
+
+
+class _BinaryToken(_Token):
+    kind = 'binary'
+
+    def value(self):
+        return self.raw[1:]
+
+
+class _NumberToken(_Token):
+    kind = 'number'
+
+    def is_number(self):
+        return True
+
+    def value(self):
+        if '.' not in self.raw:
+            return int(self.raw)
+        else:
+            return float(self.raw)
+
+
+def _tokenize(data: bytes, skip_ws: bool) -> T.Generator[_Token, int, None]:
+    """
+    A generator that produces _Token instances from Type-1 font code.
+
+    The consumer of the generator may send an integer to the tokenizer to
+    indicate that the next token should be _BinaryToken of the given length.
+
+    Parameters
+    ----------
+    data : bytes
+        The data of the font to tokenize.
+
+    skip_ws : bool
+        If true, the generator will drop any _WhitespaceTokens from the output.
+    """
+
+    text = data.decode('ascii', 'replace')
+    whitespace_or_comment_re = re.compile(r'[\0\t\r\f\n ]+|%[^\r\n]*')
+    token_re = re.compile(r'/{0,2}[^]\0\t\r\f\n ()<>{}/%[]+')
+    instring_re = re.compile(r'[()\\]')
+    hex_re = re.compile(r'^<[0-9a-fA-F\0\t\r\f\n ]*>$')
+    oct_re = re.compile(r'[0-7]{1,3}')
+    pos = 0
+    next_binary: int | None = None
+
+    while pos < len(text):
+        if next_binary is not None:
+            n = next_binary
+            next_binary = (yield _BinaryToken(pos, data[pos:pos+n]))
+            pos += n
+            continue
+        match = whitespace_or_comment_re.match(text, pos)
+        if match:
+            if not skip_ws:
+                next_binary = (yield _WhitespaceToken(pos, match.group()))
+            pos = match.end()
+        elif text[pos] == '(':
+            # PostScript string rules:
+            # - parentheses must be balanced
+            # - backslashes escape backslashes and parens
+            # - also codes \n\r\t\b\f and octal escapes are recognized
+            # - other backslashes do not escape anything
+            start = pos
+            pos += 1
+            depth = 1
+            while depth:
+                match = instring_re.search(text, pos)
+                if match is None:
+                    raise ValueError(
+                        f'Unterminated string starting at {start}')
+                pos = match.end()
+                if match.group() == '(':
+                    depth += 1
+                elif match.group() == ')':
+                    depth -= 1
+                else:  # a backslash
+                    char = text[pos]
+                    if char in r'\()nrtbf':
+                        pos += 1
+                    else:
+                        octal = oct_re.match(text, pos)
+                        if octal:
+                            pos = octal.end()
+                        else:
+                            pass  # non-escaping backslash
+            next_binary = (yield _StringToken(start, text[start:pos]))
+        elif text[pos:pos + 2] in ('<<', '>>'):
+            next_binary = (yield _DelimiterToken(pos, text[pos:pos + 2]))
+            pos += 2
+        elif text[pos] == '<':
+            start = pos
+            try:
+                pos = text.index('>', pos) + 1
+            except ValueError as e:
+                raise ValueError(f'Unterminated hex string starting at {start}'
+                                 ) from e
+            if not hex_re.match(text[start:pos]):
+                raise ValueError(f'Malformed hex string starting at {start}')
+            next_binary = (yield _StringToken(pos, text[start:pos]))
+        else:
+            match = token_re.match(text, pos)
+            if match:
+                raw = match.group()
+                if raw.startswith('/'):
+                    next_binary = (yield _NameToken(pos, raw))
+                elif match.group() in ('true', 'false'):
+                    next_binary = (yield _BooleanToken(pos, raw))
+                else:
+                    try:
+                        float(raw)
+                        next_binary = (yield _NumberToken(pos, raw))
+                    except ValueError:
+                        next_binary = (yield _KeywordToken(pos, raw))
+                pos = match.end()
+            else:
+                next_binary = (yield _DelimiterToken(pos, text[pos]))
+                pos += 1
+
+
+class _BalancedExpression(_Token):
+    pass
+
+
+def _expression(initial, tokens, data):
+    """
+    Consume some number of tokens and return a balanced PostScript expression.
+
+    Parameters
+    ----------
+    initial : _Token
+        The token that triggered parsing a balanced expression.
+    tokens : iterator of _Token
+        Following tokens.
+    data : bytes
+        Underlying data that the token positions point to.
+
+    Returns
+    -------
+    _BalancedExpression
+    """
+    delim_stack = []
+    token = initial
+    while True:
+        if token.is_delim():
+            if token.raw in ('[', '{'):
+                delim_stack.append(token)
+            elif token.raw in (']', '}'):
+                if not delim_stack:
+                    raise RuntimeError(f"unmatched closing token {token}")
+                match = delim_stack.pop()
+                if match.raw != token.opposite():
+                    raise RuntimeError(
+                        f"opening token {match} closed by {token}"
+                    )
+                if not delim_stack:
+                    break
+            else:
+                raise RuntimeError(f'unknown delimiter {token}')
+        elif not delim_stack:
+            break
+        token = next(tokens)
+    return _BalancedExpression(
+        initial.pos,
+        data[initial.pos:token.endpos()].decode('ascii', 'replace')
+    )
+
+
+class Type1Font:
+    """
+    A class representing a Type-1 font, for use by backends.
+
+    Attributes
+    ----------
+    parts : tuple
+        A 3-tuple of the cleartext part, the encrypted part, and the finale of
+        zeros.
+
+    decrypted : bytes
+        The decrypted form of ``parts[1]``.
+
+    prop : dict[str, Any]
+        A dictionary of font properties. Noteworthy keys include:
+
+        - FontName: PostScript name of the font
+        - Encoding: dict from numeric codes to glyph names
+        - FontMatrix: bytes object encoding a matrix
+        - UniqueID: optional font identifier, dropped when modifying the font
+        - CharStrings: dict from glyph names to byte code
+        - Subrs: array of byte code subroutines
+        - OtherSubrs: bytes object encoding some PostScript code
+    """
+    __slots__ = ('parts', 'decrypted', 'prop', '_pos', '_abbr')
+    # the _pos dict contains (begin, end) indices to parts[0] + decrypted
+    # so that they can be replaced when transforming the font;
+    # but since sometimes a definition appears in both parts[0] and decrypted,
+    # _pos[name] is an array of such pairs
+    #
+    # _abbr maps three standard abbreviations to their particular names in
+    # this font (e.g. 'RD' is named '-|' in some fonts)
+
+    def __init__(self, input):
+        """
+        Initialize a Type-1 font.
+
+        Parameters
+        ----------
+        input : str or 3-tuple
+            Either a pfb file name, or a 3-tuple of already-decoded Type-1
+            font `~.Type1Font.parts`.
+        """
+        if isinstance(input, tuple) and len(input) == 3:
+            self.parts = input
+        else:
+            with open(input, 'rb') as file:
+                data = self._read(file)
+            self.parts = self._split(data)
+
+        self.decrypted = self._decrypt(self.parts[1], 'eexec')
+        self._abbr = {'RD': 'RD', 'ND': 'ND', 'NP': 'NP'}
+        self._parse()
+
+    def _read(self, file):
+        """Read the font from a file, decoding into usable parts."""
+        rawdata = file.read()
+        if not rawdata.startswith(b'\x80'):
+            return rawdata
+
+        data = b''
+        while rawdata:
+            if not rawdata.startswith(b'\x80'):
+                raise RuntimeError('Broken pfb file (expected byte 128, '
+                                   'got %d)' % rawdata[0])
+            type = rawdata[1]
+            if type in (1, 2):
+                length, = struct.unpack('<i', rawdata[2:6])
+                segment = rawdata[6:6 + length]
+                rawdata = rawdata[6 + length:]
+
+            if type == 1:       # ASCII text: include verbatim
+                data += segment
+            elif type == 2:     # binary data: encode in hexadecimal
+                data += binascii.hexlify(segment)
+            elif type == 3:     # end of file
+                break
+            else:
+                raise RuntimeError('Unknown segment type %d in pfb file' % type)
+
+        return data
+
+    def _split(self, data):
+        """
+        Split the Type 1 font into its three main parts.
+
+        The three parts are: (1) the cleartext part, which ends in a
+        eexec operator; (2) the encrypted part; (3) the fixed part,
+        which contains 512 ASCII zeros possibly divided on various
+        lines, a cleartomark operator, and possibly something else.
+        """
+
+        # Cleartext part: just find the eexec and skip whitespace
+        idx = data.index(b'eexec')
+        idx += len(b'eexec')
+        while data[idx] in b' \t\r\n':
+            idx += 1
+        len1 = idx
+
+        # Encrypted part: find the cleartomark operator and count
+        # zeros backward
+        idx = data.rindex(b'cleartomark') - 1
+        zeros = 512
+        while zeros and data[idx] in b'0' or data[idx] in b'\r\n':
+            if data[idx] in b'0':
+                zeros -= 1
+            idx -= 1
+        if zeros:
+            # this may have been a problem on old implementations that
+            # used the zeros as necessary padding
+            _log.info('Insufficiently many zeros in Type 1 font')
+
+        # Convert encrypted part to binary (if we read a pfb file, we may end
+        # up converting binary to hexadecimal to binary again; but if we read
+        # a pfa file, this part is already in hex, and I am not quite sure if
+        # even the pfb format guarantees that it will be in binary).
+        idx1 = len1 + ((idx - len1 + 2) & ~1)  # ensure an even number of bytes
+        binary = binascii.unhexlify(data[len1:idx1])
+
+        return data[:len1], binary, data[idx+1:]
+
+    @staticmethod
+    def _decrypt(ciphertext, key, ndiscard=4):
+        """
+        Decrypt ciphertext using the Type-1 font algorithm.
+
+        The algorithm is described in Adobe's "Adobe Type 1 Font Format".
+        The key argument can be an integer, or one of the strings
+        'eexec' and 'charstring', which map to the key specified for the
+        corresponding part of Type-1 fonts.
+
+        The ndiscard argument should be an integer, usually 4.
+        That number of bytes is discarded from the beginning of plaintext.
+        """
+
+        key = _api.check_getitem({'eexec': 55665, 'charstring': 4330}, key=key)
+        plaintext = []
+        for byte in ciphertext:
+            plaintext.append(byte ^ (key >> 8))
+            key = ((key+byte) * 52845 + 22719) & 0xffff
+
+        return bytes(plaintext[ndiscard:])
+
+    @staticmethod
+    def _encrypt(plaintext, key, ndiscard=4):
+        """
+        Encrypt plaintext using the Type-1 font algorithm.
+
+        The algorithm is described in Adobe's "Adobe Type 1 Font Format".
+        The key argument can be an integer, or one of the strings
+        'eexec' and 'charstring', which map to the key specified for the
+        corresponding part of Type-1 fonts.
+
+        The ndiscard argument should be an integer, usually 4. That
+        number of bytes is prepended to the plaintext before encryption.
+        This function prepends NUL bytes for reproducibility, even though
+        the original algorithm uses random bytes, presumably to avoid
+        cryptanalysis.
+        """
+
+        key = _api.check_getitem({'eexec': 55665, 'charstring': 4330}, key=key)
+        ciphertext = []
+        for byte in b'\0' * ndiscard + plaintext:
+            c = byte ^ (key >> 8)
+            ciphertext.append(c)
+            key = ((key + c) * 52845 + 22719) & 0xffff
+
+        return bytes(ciphertext)
+
+    def _parse(self):
+        """
+        Find the values of various font properties. This limited kind
+        of parsing is described in Chapter 10 "Adobe Type Manager
+        Compatibility" of the Type-1 spec.
+        """
+        # Start with reasonable defaults
+        prop = {'Weight': 'Regular', 'ItalicAngle': 0.0, 'isFixedPitch': False,
+                'UnderlinePosition': -100, 'UnderlineThickness': 50}
+        pos = {}
+        data = self.parts[0] + self.decrypted
+
+        source = _tokenize(data, True)
+        while True:
+            # See if there is a key to be assigned a value
+            # e.g. /FontName in /FontName /Helvetica def
+            try:
+                token = next(source)
+            except StopIteration:
+                break
+            if token.is_delim():
+                # skip over this - we want top-level keys only
+                _expression(token, source, data)
+            if token.is_slash_name():
+                key = token.value()
+                keypos = token.pos
+            else:
+                continue
+
+            # Some values need special parsing
+            if key in ('Subrs', 'CharStrings', 'Encoding', 'OtherSubrs'):
+                prop[key], endpos = {
+                    'Subrs': self._parse_subrs,
+                    'CharStrings': self._parse_charstrings,
+                    'Encoding': self._parse_encoding,
+                    'OtherSubrs': self._parse_othersubrs
+                }[key](source, data)
+                pos.setdefault(key, []).append((keypos, endpos))
+                continue
+
+            try:
+                token = next(source)
+            except StopIteration:
+                break
+
+            if isinstance(token, _KeywordToken):
+                # constructs like
+                # FontDirectory /Helvetica known {...} {...} ifelse
+                # mean the key was not really a key
+                continue
+
+            if token.is_delim():
+                value = _expression(token, source, data).raw
+            else:
+                value = token.value()
+
+            # look for a 'def' possibly preceded by access modifiers
+            try:
+                kw = next(
+                    kw for kw in source
+                    if not kw.is_keyword('readonly', 'noaccess', 'executeonly')
+                )
+            except StopIteration:
+                break
+
+            # sometimes noaccess def and readonly def are abbreviated
+            if kw.is_keyword('def', self._abbr['ND'], self._abbr['NP']):
+                prop[key] = value
+                pos.setdefault(key, []).append((keypos, kw.endpos()))
+
+            # detect the standard abbreviations
+            if value == '{noaccess def}':
+                self._abbr['ND'] = key
+            elif value == '{noaccess put}':
+                self._abbr['NP'] = key
+            elif value == '{string currentfile exch readstring pop}':
+                self._abbr['RD'] = key
+
+        # Fill in the various *Name properties
+        if 'FontName' not in prop:
+            prop['FontName'] = (prop.get('FullName') or
+                                prop.get('FamilyName') or
+                                'Unknown')
+        if 'FullName' not in prop:
+            prop['FullName'] = prop['FontName']
+        if 'FamilyName' not in prop:
+            extras = ('(?i)([ -](regular|plain|italic|oblique|(semi)?bold|'
+                      '(ultra)?light|extra|condensed))+$')
+            prop['FamilyName'] = re.sub(extras, '', prop['FullName'])
+
+        # Parse FontBBox
+        toks = [*_tokenize(prop['FontBBox'].encode('ascii'), True)]
+        if ([tok.kind for tok in toks]
+                != ['delimiter', 'number', 'number', 'number', 'number', 'delimiter']
+                or toks[-1].raw != toks[0].opposite()):
+            raise RuntimeError(
+                f"FontBBox should be a size-4 array, was {prop['FontBBox']}")
+        prop['FontBBox'] = [tok.value() for tok in toks[1:-1]]
+
+        # Decrypt the encrypted parts
+        ndiscard = prop.get('lenIV', 4)
+        cs = prop['CharStrings']
+        for key, value in cs.items():
+            cs[key] = self._decrypt(value, 'charstring', ndiscard)
+        if 'Subrs' in prop:
+            prop['Subrs'] = [
+                self._decrypt(value, 'charstring', ndiscard)
+                for value in prop['Subrs']
+            ]
+
+        self.prop = prop
+        self._pos = pos
+
+    def _parse_subrs(self, tokens, _data):
+        count_token = next(tokens)
+        if not count_token.is_number():
+            raise RuntimeError(
+                f"Token following /Subrs must be a number, was {count_token}"
+            )
+        count = count_token.value()
+        array = [None] * count
+        next(t for t in tokens if t.is_keyword('array'))
+        for _ in range(count):
+            next(t for t in tokens if t.is_keyword('dup'))
+            index_token = next(tokens)
+            if not index_token.is_number():
+                raise RuntimeError(
+                    "Token following dup in Subrs definition must be a "
+                    f"number, was {index_token}"
+                )
+            nbytes_token = next(tokens)
+            if not nbytes_token.is_number():
+                raise RuntimeError(
+                    "Second token following dup in Subrs definition must "
+                    f"be a number, was {nbytes_token}"
+                )
+            token = next(tokens)
+            if not token.is_keyword(self._abbr['RD']):
+                raise RuntimeError(
+                    f"Token preceding subr must be {self._abbr['RD']}, "
+                    f"was {token}"
+                )
+            binary_token = tokens.send(1+nbytes_token.value())
+            array[index_token.value()] = binary_token.value()
+
+        return array, next(tokens).endpos()
+
+    def _parse_charstrings(self, tokens, _data):
+        count_token = next(tokens)
+        if not count_token.is_number():
+            raise RuntimeError(
+                "Token following /CharStrings must be a number, "
+                f"was {count_token}"
+            )
+        count = count_token.value()
+        charstrings = {}
+        next(t for t in tokens if t.is_keyword('begin'))
+        while True:
+            token = next(t for t in tokens
+                         if t.is_keyword('end') or t.is_slash_name())
+            if token.raw == 'end':
+                return charstrings, token.endpos()
+            glyphname = token.value()
+            nbytes_token = next(tokens)
+            if not nbytes_token.is_number():
+                raise RuntimeError(
+                    f"Token following /{glyphname} in CharStrings definition "
+                    f"must be a number, was {nbytes_token}"
+                )
+            token = next(tokens)
+            if not token.is_keyword(self._abbr['RD']):
+                raise RuntimeError(
+                    f"Token preceding charstring must be {self._abbr['RD']}, "
+                    f"was {token}"
+                )
+            binary_token = tokens.send(1+nbytes_token.value())
+            charstrings[glyphname] = binary_token.value()
+
+    @staticmethod
+    def _parse_encoding(tokens, _data):
+        # this only works for encodings that follow the Adobe manual
+        # but some old fonts include non-compliant data - we log a warning
+        # and return a possibly incomplete encoding
+        encoding = {}
+        while True:
+            token = next(t for t in tokens
+                         if t.is_keyword('StandardEncoding', 'dup', 'def'))
+            if token.is_keyword('StandardEncoding'):
+                return _StandardEncoding, token.endpos()
+            if token.is_keyword('def'):
+                return encoding, token.endpos()
+            index_token = next(tokens)
+            if not index_token.is_number():
+                _log.warning(
+                    f"Parsing encoding: expected number, got {index_token}"
+                )
+                continue
+            name_token = next(tokens)
+            if not name_token.is_slash_name():
+                _log.warning(
+                    f"Parsing encoding: expected slash-name, got {name_token}"
+                )
+                continue
+            encoding[index_token.value()] = name_token.value()
+
+    def _parse_othersubrs(self, tokens, data):
+        init_pos = None
+        while True:
+            token = next(tokens)
+            if init_pos is None:
+                init_pos = token.pos
+            if token.is_delim():
+                _expression(token, tokens, data)
+            elif token.is_keyword('def', self._abbr['ND']):
+                return data[init_pos:token.endpos()], token.endpos()
+
+    def transform(self, effects):
+        """
+        Return a new font that is slanted and/or extended.
+
+        Parameters
+        ----------
+        effects : dict
+            A dict with optional entries:
+
+            - 'slant' : float, default: 0
+                Tangent of the angle that the font is to be slanted to the
+                right. Negative values slant to the left.
+            - 'extend' : float, default: 1
+                Scaling factor for the font width. Values less than 1 condense
+                the glyphs.
+
+        Returns
+        -------
+        `Type1Font`
+        """
+        fontname = self.prop['FontName']
+        italicangle = self.prop['ItalicAngle']
+
+        array = [
+            float(x) for x in (self.prop['FontMatrix']
+                               .lstrip('[').rstrip(']').split())
+        ]
+        oldmatrix = np.eye(3, 3)
+        oldmatrix[0:3, 0] = array[::2]
+        oldmatrix[0:3, 1] = array[1::2]
+        modifier = np.eye(3, 3)
+
+        if 'slant' in effects:
+            slant = effects['slant']
+            fontname += f'_Slant_{int(1000 * slant)}'
+            italicangle = round(
+                float(italicangle) - np.arctan(slant) / np.pi * 180,
+                5
+            )
+            modifier[1, 0] = slant
+
+        if 'extend' in effects:
+            extend = effects['extend']
+            fontname += f'_Extend_{int(1000 * extend)}'
+            modifier[0, 0] = extend
+
+        newmatrix = np.dot(modifier, oldmatrix)
+        array[::2] = newmatrix[0:3, 0]
+        array[1::2] = newmatrix[0:3, 1]
+        fontmatrix = (
+            f"[{' '.join(_format_approx(x, 6) for x in array)}]"
+        )
+        newparts = self._replace(
+            [(x, f'/FontName/{fontname} def')
+             for x in self._pos['FontName']]
+            + [(x, f'/ItalicAngle {italicangle} def')
+               for x in self._pos['ItalicAngle']]
+            + [(x, f'/FontMatrix {fontmatrix} readonly def')
+               for x in self._pos['FontMatrix']]
+            + [(x, '') for x in self._pos.get('UniqueID', [])]
+        )
+
+        return Type1Font((
+            newparts[0],
+            self._encrypt(newparts[1], 'eexec'),
+            self.parts[2]
+        ))
+
+    def with_encoding(self, encoding):
+        """
+        Change the encoding of the font.
+
+        Parameters
+        ----------
+        encoding : dict
+            A dictionary mapping character codes to glyph names.
+
+        Returns
+        -------
+        `Type1Font`
+        """
+        newparts = self._replace(
+            [(x, '') for x in self._pos.get('UniqueID', [])]
+            + [(self._pos['Encoding'][0], self._postscript_encoding(encoding))]
+        )
+        return Type1Font((
+            newparts[0],
+            self._encrypt(newparts[1], 'eexec'),
+            self.parts[2]
+        ))
+
+    def _replace(self, replacements):
+        """
+        Change the font according to `replacements`
+
+        Parameters
+        ----------
+        replacements : list of ((int, int), str)
+            Each element is ((pos0, pos1), replacement) where pos0 and
+            pos1 are indices to the original font data (parts[0] and the
+            decrypted part concatenated). The data in the interval
+            pos0:pos1 will be replaced by the replacement text. To
+            accommodate binary data, the replacement is taken to be in
+            Latin-1 encoding.
+
+            The case where pos0 is inside parts[0] and pos1 inside
+            the decrypted part is not supported.
+
+        Returns
+        -------
+        (bytes, bytes)
+            The new parts[0] and decrypted part (which needs to be
+            encrypted in the transformed font).
+        """
+        data = bytearray(self.parts[0])
+        data.extend(self.decrypted)
+        len0 = len(self.parts[0])
+        for (pos0, pos1), value in sorted(replacements, reverse=True):
+            data[pos0:pos1] = value.encode('latin-1')
+            if pos0 < len(self.parts[0]):
+                if pos1 >= len(self.parts[0]):
+                    raise RuntimeError(
+                        f"text to be replaced with {value} spans "
+                        "the eexec boundary"
+                    )
+                len0 += len(value) - pos1 + pos0
+
+        return bytes(data[:len0]), bytes(data[len0:])
+
+    def subset(self, characters, name_prefix):
+        """
+        Return a new font that only defines the given characters.
+
+        Parameters
+        ----------
+        characters : sequence of bytes
+            The subset of characters to include. These are indices into the
+            font's encoding array. The encoding array of a Type-1 font can
+            only include 256 characters, but other glyphs may be accessed
+            via the seac operator.
+        name_prefix : str
+            Prefix to prepend to the font name.
+
+        Returns
+        -------
+        `Type1Font`
+        """
+        characters = frozenset(characters)
+        if _log.isEnabledFor(logging.DEBUG):
+            _log.debug(
+                "Subsetting font %s to characters %s = %s",
+                self.prop['FontName'],
+                sorted(characters),
+                [self.prop['Encoding'].get(code) for code in sorted(characters)],
+            )
+        encoding = {code: glyph
+                    for code, glyph in self.prop['Encoding'].items()
+                    if code in characters}
+        encoding[0] = '.notdef'
+        # todo and done include strings (glyph names)
+        todo = set(encoding.values())
+        done = set()
+        seen_subrs = {0, 1, 2, 3}
+        while todo:
+            glyph = todo.pop()
+            called_glyphs, called_subrs = _CharstringSimulator(self).run(glyph)
+            todo.update(called_glyphs - done)
+            seen_subrs.update(called_subrs)
+            done.add(glyph)
+
+        charstrings = self._subset_charstrings(done)
+        subrs = self._subset_subrs(seen_subrs)
+        newparts = self._replace(
+            [(x, f'/FontName /{name_prefix}{self.prop["FontName"]} def')
+             for x in self._pos['FontName']]
+            + [(self._pos['CharStrings'][0], charstrings),
+               (self._pos['Subrs'][0], subrs),
+               (self._pos['Encoding'][0], self._postscript_encoding(encoding))
+               ] + [(x, '') for x in self._pos.get('UniqueID', [])]
+        )
+        return type(self)((
+            newparts[0],
+            self._encrypt(newparts[1], 'eexec'),
+            self.parts[2]
+        ))
+
+    @staticmethod
+    def _charstring_tokens(data):
+        """Parse a Type-1 charstring
+
+        Yield opcode names and integer parameters.
+        """
+        data = iter(data)
+        for byte in data:
+            if 32 <= byte <= 246:
+                yield byte - 139
+            elif 247 <= byte <= 250:
+                byte2 = next(data)
+                yield (byte-247) * 256 + byte2 + 108
+            elif 251 <= byte <= 254:
+                byte2 = next(data)
+                yield -(byte-251)*256 - byte2 - 108
+            elif byte == 255:
+                bs = bytes(itertools.islice(data, 4))
+                yield struct.unpack('>i', bs)[0]
+            elif byte == 12:
+                byte1 = next(data)
+                yield {
+                    0: 'dotsection',
+                    1: 'vstem3',
+                    2: 'hstem3',
+                    6: 'seac',
+                    7: 'sbw',
+                    12: 'div',
+                    16: 'callothersubr',
+                    17: 'pop',
+                    33: 'setcurrentpoint'
+                }[byte1]
+            else:
+                yield {
+                    1: 'hstem',
+                    3: 'vstem',
+                    4: 'vmoveto',
+                    5: 'rlineto',
+                    6: 'hlineto',
+                    7: 'vlineto',
+                    8: 'rrcurveto',
+                    9: 'closepath',
+                    10: 'callsubr',
+                    11: 'return',
+                    13: 'hsbw',
+                    14: 'endchar',
+                    21: 'rmoveto',
+                    22: 'hmoveto',
+                    30: 'vhcurveto',
+                    31: 'hvcurveto'
+                }[byte]
+
+    def _postscript_encoding(self, encoding):
+        """Return a PostScript encoding array for the encoding."""
+        return '\n'.join([
+            '/Encoding 256 array\n0 1 255 { 1 index exch /.notdef put} for',
+            *(
+                f'dup {i} /{glyph} put'
+                for i, glyph in sorted(encoding.items())
+                if glyph != '.notdef'
+            ),
+            'readonly def\n',
+        ])
+
+    def _subset_charstrings(self, glyphs):
+        """Return a PostScript CharStrings array for the glyphs."""
+        charstrings = self.prop['CharStrings']
+        lenIV = self.prop.get('lenIV', 4)
+        ordered = sorted(glyphs)
+        encrypted = [
+            self._encrypt(charstrings[glyph], 'charstring', lenIV).decode('latin-1')
+            for glyph in ordered
+        ]
+        RD, ND = self._abbr['RD'], self._abbr['ND']
+        return '\n'.join([
+            f'/CharStrings {len(ordered)} dict dup begin',
+            *(
+                f'/{glyph} {len(enc)} {RD} {enc} {ND}'
+                for glyph, enc in zip(ordered, encrypted)
+            ),
+            'end\n',
+        ])
+
+    def _subset_subrs(self, indices):
+        """Return a PostScript Subrs array for the subroutines."""
+        # we can't remove subroutines, we just replace unused ones with a stub
+        subrs = self.prop['Subrs']
+        n_subrs = len(subrs)
+        lenIV = self.prop.get('lenIV', 4)
+        stub = self._encrypt(b'\x0b', 'charstring', lenIV).decode('latin-1')
+        encrypted = [
+            self._encrypt(subrs[i], 'charstring', lenIV).decode('latin-1')
+            if i in indices
+            else stub
+            for i in range(n_subrs)
+        ]
+        RD, ND, NP = self._abbr['RD'], self._abbr['ND'], self._abbr['NP']
+        return '\n'.join([
+            f'/Subrs {n_subrs} array',
+            *(
+                f'dup {i} {len(enc)} {RD} {enc} {NP}'
+                for i, enc in enumerate(encrypted)
+            ),
+        ])
+
+
+class _CharstringSimulator:
+    __slots__ = ('font', 'buildchar_stack', 'postscript_stack', 'glyphs', 'subrs')
+
+    def __init__(self, font):
+        self.font = font
+        self.buildchar_stack = []
+        self.postscript_stack = []
+        self.glyphs = set()
+        self.subrs = set()
+
+    def run(self, glyph_or_subr):
+        """Run the charstring interpreter on a glyph or subroutine.
+
+        This does not actually execute the code but simulates it to find out
+        which subroutines get called when executing the glyph or subroutine.
+
+        Parameters
+        ----------
+        glyph_or_subr : str or int
+            The name of the glyph or the index of the subroutine to simulate.
+
+        Returns
+        -------
+        glyphs : set[str]
+            The set of glyph names called by the glyph or subroutine.
+        subrs : set[int]
+            The set of subroutines called by the glyph or subroutine.
+        """
+        if isinstance(glyph_or_subr, str):
+            program = self.font.prop['CharStrings'][glyph_or_subr]
+            self.glyphs.add(glyph_or_subr)
+        else:
+            program = self.font.prop['Subrs'][glyph_or_subr]
+            self.subrs.add(glyph_or_subr)
+        for opcode in self.font._charstring_tokens(program):
+            if opcode in ('return', 'endchar'):
+                return self.glyphs, self.subrs
+            self._step(opcode)
+        else:
+            font_name = self.font.prop.get('FontName', '(unknown)')
+            _log.info(
+                f"Glyph or subr {glyph_or_subr} in font {font_name} does not end "
+                "with return or endchar"
+            )
+            return self.glyphs, self.subrs
+
+    def _step(self, opcode):
+        """Run one step in the charstring interpreter."""
+        match opcode:
+            case int():
+                self.buildchar_stack.append(opcode)
+            case (
+                'hsbw' | 'sbw' | 'closepath' | 'hlineto' | 'hmoveto' | 'hcurveto' |
+                'hvcurveto' | 'rlineto' | 'rmoveto' | 'rrcurveto' | 'vhcurveto' |
+                'vlineto' | 'vmoveto' | 'dotsection' | 'hstem' | 'hstem3' |
+                'vstem' | 'vstem3' | 'setcurrentpoint'
+            ):
+                self.buildchar_stack.clear()
+            case 'seac':  # Standard Encoding Accented Character
+                codes = self.buildchar_stack[3:5]
+                self.glyphs.update(_StandardEncoding[int(x)] for x in codes)
+                self.buildchar_stack.clear()
+            case 'div':
+                num1, num2 = self.buildchar_stack[-2:]
+                if num2 == 0:
+                    _log.warning(
+                        f"Division by zero in font {self.font.prop['FontName']}"
+                    )
+                    self.buildchar_stack[-2:] = [0]
+                else:
+                    self.buildchar_stack[-2:] = [num1/num2]
+            case 'callothersubr':
+                n, othersubr = self.buildchar_stack[-2:]
+                if not isinstance(n, int):
+                    _log.warning(
+                        f"callothersubr {othersubr} with non-integer argument "
+                        f"count in font {self.font.prop['FontName']}"
+                    )
+                    n = int(n)
+                args = self.buildchar_stack[-2-n:-2]
+                if othersubr == 3:
+                    self.postscript_stack.append(args[0])
+                else:
+                    self.postscript_stack.extend(args[::-1])
+                self.buildchar_stack[-2-n:] = []
+            case 'callsubr':
+                subr = self.buildchar_stack.pop()
+                if not isinstance(subr, int):
+                    _log.warning(
+                        f"callsubr with non-integer argument {subr} in font "
+                        f"{self.font.prop['FontName']}"
+                    )
+                    subr = int(subr)
+                self.run(subr)
+            case 'pop':
+                if not self.postscript_stack:
+                    _log.warning(
+                        f"pop with empty stack in font {self.font.prop['FontName']}"
+                    )
+                    self.postscript_stack.append(0)
+                self.buildchar_stack.append(self.postscript_stack.pop())
+            case _:
+                raise RuntimeError(f'opcode {opcode}')
+
+
+_StandardEncoding = {
+    **{ord(letter): letter for letter in string.ascii_letters},
+    0: '.notdef',
+    32: 'space',
+    33: 'exclam',
+    34: 'quotedbl',
+    35: 'numbersign',
+    36: 'dollar',
+    37: 'percent',
+    38: 'ampersand',
+    39: 'quoteright',
+    40: 'parenleft',
+    41: 'parenright',
+    42: 'asterisk',
+    43: 'plus',
+    44: 'comma',
+    45: 'hyphen',
+    46: 'period',
+    47: 'slash',
+    48: 'zero',
+    49: 'one',
+    50: 'two',
+    51: 'three',
+    52: 'four',
+    53: 'five',
+    54: 'six',
+    55: 'seven',
+    56: 'eight',
+    57: 'nine',
+    58: 'colon',
+    59: 'semicolon',
+    60: 'less',
+    61: 'equal',
+    62: 'greater',
+    63: 'question',
+    64: 'at',
+    91: 'bracketleft',
+    92: 'backslash',
+    93: 'bracketright',
+    94: 'asciicircum',
+    95: 'underscore',
+    96: 'quoteleft',
+    123: 'braceleft',
+    124: 'bar',
+    125: 'braceright',
+    126: 'asciitilde',
+    161: 'exclamdown',
+    162: 'cent',
+    163: 'sterling',
+    164: 'fraction',
+    165: 'yen',
+    166: 'florin',
+    167: 'section',
+    168: 'currency',
+    169: 'quotesingle',
+    170: 'quotedblleft',
+    171: 'guillemotleft',
+    172: 'guilsinglleft',
+    173: 'guilsinglright',
+    174: 'fi',
+    175: 'fl',
+    177: 'endash',
+    178: 'dagger',
+    179: 'daggerdbl',
+    180: 'periodcentered',
+    182: 'paragraph',
+    183: 'bullet',
+    184: 'quotesinglbase',
+    185: 'quotedblbase',
+    186: 'quotedblright',
+    187: 'guillemotright',
+    188: 'ellipsis',
+    189: 'perthousand',
+    191: 'questiondown',
+    193: 'grave',
+    194: 'acute',
+    195: 'circumflex',
+    196: 'tilde',
+    197: 'macron',
+    198: 'breve',
+    199: 'dotaccent',
+    200: 'dieresis',
+    202: 'ring',
+    203: 'cedilla',
+    205: 'hungarumlaut',
+    206: 'ogonek',
+    207: 'caron',
+    208: 'emdash',
+    225: 'AE',
+    227: 'ordfeminine',
+    232: 'Lslash',
+    233: 'Oslash',
+    234: 'OE',
+    235: 'ordmasculine',
+    241: 'ae',
+    245: 'dotlessi',
+    248: 'lslash',
+    249: 'oslash',
+    250: 'oe',
+    251: 'germandbls',
+}
diff --git a/lib/matplotlib/_version.py.in b/lib/matplotlib/_version.py.in
new file mode 100644
index 000000000000..a809c61c2099
--- /dev/null
+++ b/lib/matplotlib/_version.py.in
@@ -0,0 +1 @@
+version = @VCS_TAG@
diff --git a/lib/matplotlib/afm.py b/lib/matplotlib/afm.py
deleted file mode 100644
index 4d643086ebdc..000000000000
--- a/lib/matplotlib/afm.py
+++ /dev/null
@@ -1,556 +0,0 @@
-"""
-This is a python interface to Adobe Font Metrics Files.  Although a
-number of other python implementations exist, and may be more complete
-than this, it was decided not to go with them because they were
-either:
-
-  1) copyrighted or used a non-BSD compatible license
-
-  2) had too many dependencies and a free standing lib was needed
-
-  3) Did more than needed and it was easier to write afresh rather than
-     figure out how to get just what was needed.
-
-It is pretty easy to use, and requires only built-in python libs:
-
-    >>> from matplotlib import rcParams
-    >>> import os.path
-    >>> afm_fname = os.path.join(rcParams['datapath'],
-    ...                         'fonts', 'afm', 'ptmr8a.afm')
-    >>>
-    >>> from matplotlib.afm import AFM
-    >>> afm = AFM(open(afm_fname))
-    >>> afm.string_width_height('What the heck?')
-    (6220.0, 694)
-    >>> afm.get_fontname()
-    'Times-Roman'
-    >>> afm.get_kern_dist('A', 'f')
-    0
-    >>> afm.get_kern_dist('A', 'y')
-    -92.0
-    >>> afm.get_bbox_char('!')
-    [130, -9, 238, 676]
-
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import map
-
-import sys
-import os
-import re
-from ._mathtext_data import uni2type1
-
-# Convert string the a python type
-
-# some afm files have floats where we are expecting ints -- there is
-# probably a better way to handle this (support floats, round rather
-# than truncate).  But I don't know what the best approach is now and
-# this change to _to_int should at least prevent mpl from crashing on
-# these JDH (2009-11-06)
-
-
-def _to_int(x):
-    return int(float(x))
-
-_to_float = float
-if six.PY3:
-    def _to_str(x):
-        return x.decode('utf8')
-else:
-    _to_str = str
-
-
-def _to_list_of_ints(s):
-    s = s.replace(b',', b' ')
-    return [_to_int(val) for val in s.split()]
-
-
-def _to_list_of_floats(s):
-    return [_to_float(val) for val in s.split()]
-
-
-def _to_bool(s):
-    if s.lower().strip() in (b'false', b'0', b'no'):
-        return False
-    else:
-        return True
-
-
-def _sanity_check(fh):
-    """
-    Check if the file at least looks like AFM.
-    If not, raise :exc:`RuntimeError`.
-    """
-
-    # Remember the file position in case the caller wants to
-    # do something else with the file.
-    pos = fh.tell()
-    try:
-        line = fh.readline()
-    finally:
-        fh.seek(pos, 0)
-
-    # AFM spec, Section 4: The StartFontMetrics keyword [followed by a
-    # version number] must be the first line in the file, and the
-    # EndFontMetrics keyword must be the last non-empty line in the
-    # file. We just check the first line.
-    if not line.startswith(b'StartFontMetrics'):
-        raise RuntimeError('Not an AFM file')
-
-
-def _parse_header(fh):
-    """
-    Reads the font metrics header (up to the char metrics) and returns
-    a dictionary mapping *key* to *val*.  *val* will be converted to the
-    appropriate python type as necessary; e.g.:
-
-        * 'False'->False
-        * '0'->0
-        * '-168 -218 1000 898'-> [-168, -218, 1000, 898]
-
-    Dictionary keys are
-
-      StartFontMetrics, FontName, FullName, FamilyName, Weight,
-      ItalicAngle, IsFixedPitch, FontBBox, UnderlinePosition,
-      UnderlineThickness, Version, Notice, EncodingScheme, CapHeight,
-      XHeight, Ascender, Descender, StartCharMetrics
-
-    """
-    headerConverters = {
-        b'StartFontMetrics': _to_float,
-        b'FontName': _to_str,
-        b'FullName': _to_str,
-        b'FamilyName': _to_str,
-        b'Weight': _to_str,
-        b'ItalicAngle': _to_float,
-        b'IsFixedPitch': _to_bool,
-        b'FontBBox': _to_list_of_ints,
-        b'UnderlinePosition': _to_int,
-        b'UnderlineThickness': _to_int,
-        b'Version': _to_str,
-        b'Notice': _to_str,
-        b'EncodingScheme': _to_str,
-        b'CapHeight': _to_float,  # Is the second version a mistake, or
-        b'Capheight': _to_float,  # do some AFM files contain 'Capheight'? -JKS
-        b'XHeight': _to_float,
-        b'Ascender': _to_float,
-        b'Descender': _to_float,
-        b'StdHW': _to_float,
-        b'StdVW': _to_float,
-        b'StartCharMetrics': _to_int,
-        b'CharacterSet': _to_str,
-        b'Characters': _to_int,
-        }
-
-    d = {}
-    while 1:
-        line = fh.readline()
-        if not line:
-            break
-        line = line.rstrip()
-        if line.startswith(b'Comment'):
-            continue
-        lst = line.split(b' ', 1)
-
-        key = lst[0]
-        if len(lst) == 2:
-            val = lst[1]
-        else:
-            val = b''
-
-        try:
-            d[key] = headerConverters[key](val)
-        except ValueError:
-            print('Value error parsing header in AFM:',
-                  key, val, file=sys.stderr)
-            continue
-        except KeyError:
-            print('Found an unknown keyword in AFM header (was %s)' % key,
-                  file=sys.stderr)
-            continue
-        if key == b'StartCharMetrics':
-            return d
-    raise RuntimeError('Bad parse')
-
-
-def _parse_char_metrics(fh):
-    """
-    Return a character metric dictionary.  Keys are the ASCII num of
-    the character, values are a (*wx*, *name*, *bbox*) tuple, where
-    *wx* is the character width, *name* is the postscript language
-    name, and *bbox* is a (*llx*, *lly*, *urx*, *ury*) tuple.
-
-    This function is incomplete per the standard, but thus far parses
-    all the sample afm files tried.
-    """
-
-    ascii_d = {}
-    name_d = {}
-    while 1:
-        line = fh.readline()
-        if not line:
-            break
-        line = line.rstrip()
-        if line.startswith(b'EndCharMetrics'):
-            return ascii_d, name_d
-        vals = line.split(b';')[:4]
-        if len(vals) != 4:
-            raise RuntimeError('Bad char metrics line: %s' % line)
-        num = _to_int(vals[0].split()[1])
-        wx = _to_float(vals[1].split()[1])
-        name = vals[2].split()[1]
-        name = name.decode('ascii')
-        bbox = _to_list_of_floats(vals[3][2:])
-        bbox = list(map(int, bbox))
-        # Workaround: If the character name is 'Euro', give it the
-        # corresponding character code, according to WinAnsiEncoding (see PDF
-        # Reference).
-        if name == 'Euro':
-            num = 128
-        if num != -1:
-            ascii_d[num] = (wx, name, bbox)
-        name_d[name] = (wx, bbox)
-    raise RuntimeError('Bad parse')
-
-
-def _parse_kern_pairs(fh):
-    """
-    Return a kern pairs dictionary; keys are (*char1*, *char2*) tuples and
-    values are the kern pair value.  For example, a kern pairs line like
-    ``KPX A y -50``
-
-    will be represented as::
-
-      d[ ('A', 'y') ] = -50
-
-    """
-
-    line = fh.readline()
-    if not line.startswith(b'StartKernPairs'):
-        raise RuntimeError('Bad start of kern pairs data: %s' % line)
-
-    d = {}
-    while 1:
-        line = fh.readline()
-        if not line:
-            break
-        line = line.rstrip()
-        if len(line) == 0:
-            continue
-        if line.startswith(b'EndKernPairs'):
-            fh.readline()  # EndKernData
-            return d
-        vals = line.split()
-        if len(vals) != 4 or vals[0] != b'KPX':
-            raise RuntimeError('Bad kern pairs line: %s' % line)
-        c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
-        d[(c1, c2)] = val
-    raise RuntimeError('Bad kern pairs parse')
-
-
-def _parse_composites(fh):
-    """
-    Return a composites dictionary.  Keys are the names of the
-    composites.  Values are a num parts list of composite information,
-    with each element being a (*name*, *dx*, *dy*) tuple.  Thus a
-    composites line reading:
-
-      CC Aacute 2 ; PCC A 0 0 ; PCC acute 160 170 ;
-
-    will be represented as::
-
-      d['Aacute'] = [ ('A', 0, 0), ('acute', 160, 170) ]
-
-    """
-    d = {}
-    while 1:
-        line = fh.readline()
-        if not line:
-            break
-        line = line.rstrip()
-        if len(line) == 0:
-            continue
-        if line.startswith(b'EndComposites'):
-            return d
-        vals = line.split(b';')
-        cc = vals[0].split()
-        name, numParts = cc[1], _to_int(cc[2])
-        pccParts = []
-        for s in vals[1:-1]:
-            pcc = s.split()
-            name, dx, dy = pcc[1], _to_float(pcc[2]), _to_float(pcc[3])
-            pccParts.append((name, dx, dy))
-        d[name] = pccParts
-
-    raise RuntimeError('Bad composites parse')
-
-
-def _parse_optional(fh):
-    """
-    Parse the optional fields for kern pair data and composites
-
-    return value is a (*kernDict*, *compositeDict*) which are the
-    return values from :func:`_parse_kern_pairs`, and
-    :func:`_parse_composites` if the data exists, or empty dicts
-    otherwise
-    """
-    optional = {
-        b'StartKernData': _parse_kern_pairs,
-        b'StartComposites':  _parse_composites,
-        }
-
-    d = {b'StartKernData': {}, b'StartComposites': {}}
-    while 1:
-        line = fh.readline()
-        if not line:
-            break
-        line = line.rstrip()
-        if len(line) == 0:
-            continue
-        key = line.split()[0]
-
-        if key in optional:
-            d[key] = optional[key](fh)
-
-    l = (d[b'StartKernData'], d[b'StartComposites'])
-    return l
-
-
-def parse_afm(fh):
-    """
-    Parse the Adobe Font Metics file in file handle *fh*. Return value
-    is a (*dhead*, *dcmetrics*, *dkernpairs*, *dcomposite*) tuple where
-    *dhead* is a :func:`_parse_header` dict, *dcmetrics* is a
-    :func:`_parse_composites` dict, *dkernpairs* is a
-    :func:`_parse_kern_pairs` dict (possibly {}), and *dcomposite* is a
-    :func:`_parse_composites` dict (possibly {})
-    """
-    _sanity_check(fh)
-    dhead = _parse_header(fh)
-    dcmetrics_ascii, dcmetrics_name = _parse_char_metrics(fh)
-    doptional = _parse_optional(fh)
-    return dhead, dcmetrics_ascii, dcmetrics_name, doptional[0], doptional[1]
-
-
-class AFM(object):
-
-    def __init__(self, fh):
-        """
-        Parse the AFM file in file object *fh*
-        """
-        (dhead, dcmetrics_ascii, dcmetrics_name, dkernpairs, dcomposite) = \
-            parse_afm(fh)
-        self._header = dhead
-        self._kern = dkernpairs
-        self._metrics = dcmetrics_ascii
-        self._metrics_by_name = dcmetrics_name
-        self._composite = dcomposite
-
-    def get_bbox_char(self, c, isord=False):
-        if not isord:
-            c = ord(c)
-        wx, name, bbox = self._metrics[c]
-        return bbox
-
-    def string_width_height(self, s):
-        """
-        Return the string width (including kerning) and string height
-        as a (*w*, *h*) tuple.
-        """
-        if not len(s):
-            return 0, 0
-        totalw = 0
-        namelast = None
-        miny = 1e9
-        maxy = 0
-        for c in s:
-            if c == '\n':
-                continue
-            wx, name, bbox = self._metrics[ord(c)]
-            l, b, w, h = bbox
-
-            # find the width with kerning
-            try:
-                kp = self._kern[(namelast, name)]
-            except KeyError:
-                kp = 0
-            totalw += wx + kp
-
-            # find the max y
-            thismax = b + h
-            if thismax > maxy:
-                maxy = thismax
-
-            # find the min y
-            thismin = b
-            if thismin < miny:
-                miny = thismin
-            namelast = name
-
-        return totalw, maxy - miny
-
-    def get_str_bbox_and_descent(self, s):
-        """
-        Return the string bounding box
-        """
-        if not len(s):
-            return 0, 0, 0, 0
-        totalw = 0
-        namelast = None
-        miny = 1e9
-        maxy = 0
-        left = 0
-        if not isinstance(s, six.text_type):
-            s = s.decode('ascii')
-        for c in s:
-            if c == '\n':
-                continue
-            name = uni2type1.get(ord(c), 'question')
-            try:
-                wx, bbox = self._metrics_by_name[name]
-            except KeyError:
-                name = 'question'
-                wx, bbox = self._metrics_by_name[name]
-            l, b, w, h = bbox
-            if l < left:
-                left = l
-            # find the width with kerning
-            try:
-                kp = self._kern[(namelast, name)]
-            except KeyError:
-                kp = 0
-            totalw += wx + kp
-
-            # find the max y
-            thismax = b + h
-            if thismax > maxy:
-                maxy = thismax
-
-            # find the min y
-            thismin = b
-            if thismin < miny:
-                miny = thismin
-            namelast = name
-
-        return left, miny, totalw, maxy - miny, -miny
-
-    def get_str_bbox(self, s):
-        """
-        Return the string bounding box
-        """
-        return self.get_str_bbox_and_descent(s)[:4]
-
-    def get_name_char(self, c, isord=False):
-        """
-        Get the name of the character, i.e., ';' is 'semicolon'
-        """
-        if not isord:
-            c = ord(c)
-        wx, name, bbox = self._metrics[c]
-        return name
-
-    def get_width_char(self, c, isord=False):
-        """
-        Get the width of the character from the character metric WX
-        field
-        """
-        if not isord:
-            c = ord(c)
-        wx, name, bbox = self._metrics[c]
-        return wx
-
-    def get_width_from_char_name(self, name):
-        """
-        Get the width of the character from a type1 character name
-        """
-        wx, bbox = self._metrics_by_name[name]
-        return wx
-
-    def get_height_char(self, c, isord=False):
-        """
-        Get the height of character *c* from the bounding box.  This
-        is the ink height (space is 0)
-        """
-        if not isord:
-            c = ord(c)
-        wx, name, bbox = self._metrics[c]
-        return bbox[-1]
-
-    def get_kern_dist(self, c1, c2):
-        """
-        Return the kerning pair distance (possibly 0) for chars *c1*
-        and *c2*
-        """
-        name1, name2 = self.get_name_char(c1), self.get_name_char(c2)
-        return self.get_kern_dist_from_name(name1, name2)
-
-    def get_kern_dist_from_name(self, name1, name2):
-        """
-        Return the kerning pair distance (possibly 0) for chars
-        *name1* and *name2*
-        """
-        try:
-            return self._kern[(name1, name2)]
-        except:
-            return 0
-
-    def get_fontname(self):
-        "Return the font name, e.g., 'Times-Roman'"
-        return self._header[b'FontName']
-
-    def get_fullname(self):
-        "Return the font full name, e.g., 'Times-Roman'"
-        name = self._header.get(b'FullName')
-        if name is None:  # use FontName as a substitute
-            name = self._header[b'FontName']
-        return name
-
-    def get_familyname(self):
-        "Return the font family name, e.g., 'Times'"
-        name = self._header.get(b'FamilyName')
-        if name is not None:
-            return name
-
-        # FamilyName not specified so we'll make a guess
-        name = self.get_fullname()
-        extras = (br'(?i)([ -](regular|plain|italic|oblique|bold|semibold|'
-                  br'light|ultralight|extra|condensed))+$')
-        return re.sub(extras, '', name)
-
-    def get_weight(self):
-        "Return the font weight, e.g., 'Bold' or 'Roman'"
-        return self._header[b'Weight']
-
-    def get_angle(self):
-        "Return the fontangle as float"
-        return self._header[b'ItalicAngle']
-
-    def get_capheight(self):
-        "Return the cap height as float"
-        return self._header[b'CapHeight']
-
-    def get_xheight(self):
-        "Return the xheight as float"
-        return self._header[b'XHeight']
-
-    def get_underline_thickness(self):
-        "Return the underline thickness as float"
-        return self._header[b'UnderlineThickness']
-
-    def get_horizontal_stem_width(self):
-        """
-        Return the standard horizontal stem width as float, or *None* if
-        not specified in AFM file.
-        """
-        return self._header.get(b'StdHW', None)
-
-    def get_vertical_stem_width(self):
-        """
-        Return the standard vertical stem width as float, or *None* if
-        not specified in AFM file.
-        """
-        return self._header.get(b'StdVW', None)
diff --git a/lib/matplotlib/animation.py b/lib/matplotlib/animation.py
index 9737d5c9c122..c6ff7702d992 100644
--- a/lib/matplotlib/animation.py
+++ b/lib/matplotlib/animation.py
@@ -1,302 +1,434 @@
-# TODO:
-# * Loop Delay is broken on GTKAgg. This is because source_remove() is not
-#   working as we want. PyGTK bug?
-# * Documentation -- this will need a new section of the User's Guide.
-#      Both for Animations and just timers.
-#   - Also need to update http://www.scipy.org/Cookbook/Matplotlib/Animations
-# * Blit
-#   * Currently broken with Qt4 for widgets that don't start on screen
-#   * Still a few edge cases that aren't working correctly
-#   * Can this integrate better with existing matplotlib animation artist flag?
-#     - If animated removes from default draw(), perhaps we could use this to
-#       simplify initial draw.
-# * Example
-#   * Frameless animation - pure procedural with no loop
-#   * Need example that uses something like inotify or subprocess
-#   * Complex syncing examples
-# * Movies
-#   * Can blit be enabled for movies?
-# * Need to consider event sources to allow clicking through multiple figures
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import sys
-import itertools
+import abc
+import base64
 import contextlib
-from matplotlib.cbook import iterable, is_string_like
-from matplotlib.compat import subprocess
-from matplotlib import verbose
-from matplotlib import rcParams
+from io import BytesIO, TextIOWrapper
+import itertools
+import logging
+from pathlib import Path
+import shutil
+import subprocess
+import sys
+from tempfile import TemporaryDirectory
+import uuid
+import warnings
+
+import numpy as np
+from PIL import Image
+
+import matplotlib as mpl
+from matplotlib._animation_data import (
+    DISPLAY_TEMPLATE, INCLUDED_FRAMES, JS_INCLUDE, STYLE_INCLUDE)
+from matplotlib import _api, cbook
+import matplotlib.colors as mcolors
+
+_log = logging.getLogger(__name__)
+
+# Process creation flag for subprocess to prevent it raising a terminal
+# window. See for example https://stackoverflow.com/q/24130623/
+subprocess_creation_flags = (
+    subprocess.CREATE_NO_WINDOW if sys.platform == 'win32' else 0)
 
-# Other potential writing methods:
-# * http://pymedia.org/
-# * libmng (produces swf) python wrappers: https://github.com/libming/libming
-# * Wrap x264 API:
 
-# (http://stackoverflow.com/questions/2940671/
-# how-to-encode-series-of-images-into-h264-using-x264-api-c-c )
+def adjusted_figsize(w, h, dpi, n):
+    """
+    Compute figure size so that pixels are a multiple of n.
 
+    Parameters
+    ----------
+    w, h : float
+        Size in inches.
+
+    dpi : float
+        The dpi.
+
+    n : int
+        The target multiple.
+
+    Returns
+    -------
+    wnew, hnew : float
+        The new figure size in inches.
+    """
+
+    # this maybe simplified if / when we adopt consistent rounding for
+    # pixel size across the whole library
+    def correct_roundoff(x, dpi, n):
+        if int(x*dpi) % n != 0:
+            if int(np.nextafter(x, np.inf)*dpi) % n == 0:
+                x = np.nextafter(x, np.inf)
+            elif int(np.nextafter(x, -np.inf)*dpi) % n == 0:
+                x = np.nextafter(x, -np.inf)
+        return x
+
+    wnew = int(w * dpi / n) * n / dpi
+    hnew = int(h * dpi / n) * n / dpi
+    return correct_roundoff(wnew, dpi, n), correct_roundoff(hnew, dpi, n)
+
+
+class MovieWriterRegistry:
+    """Registry of available writer classes by human readable name."""
 
-# A registry for available MovieWriter classes
-class MovieWriterRegistry(object):
     def __init__(self):
-        self.avail = dict()
+        self._registered = dict()
 
-    # Returns a decorator that can be used on classes to register them under
-    # a name. As in:
-    # @register('foo')
-    # class Foo:
-    #    pass
     def register(self, name):
-        def wrapper(writerClass):
-            if writerClass.isAvailable():
-                self.avail[name] = writerClass
-            return writerClass
+        """
+        Decorator for registering a class under a name.
+
+        Example use::
+
+            @registry.register(name)
+            class Foo:
+                pass
+        """
+        def wrapper(writer_cls):
+            self._registered[name] = writer_cls
+            return writer_cls
         return wrapper
 
-    def list(self):
-        ''' Get a list of available MovieWriters.'''
-        return list(self.avail.keys())
-
     def is_available(self, name):
-        return name in self.avail
+        """
+        Check if given writer is available by name.
 
-    def __getitem__(self, name):
-        if not self.avail:
-            raise RuntimeError("No MovieWriters available!")
-        return self.avail[name]
+        Parameters
+        ----------
+        name : str
 
-writers = MovieWriterRegistry()
+        Returns
+        -------
+        bool
+        """
+        try:
+            cls = self._registered[name]
+        except KeyError:
+            return False
+        return cls.isAvailable()
 
+    def __iter__(self):
+        """Iterate over names of available writer class."""
+        for name in self._registered:
+            if self.is_available(name):
+                yield name
 
-class MovieWriter(object):
-    '''
-    Base class for writing movies. Fundamentally, what a MovieWriter does
-    is provide is a way to grab frames by calling grab_frame(). setup()
-    is called to start the process and finish() is called afterwards.
-    This class is set up to provide for writing movie frame data to a pipe.
-    saving() is provided as a context manager to facilitate this process as::
+    def list(self):
+        """Get a list of available MovieWriters."""
+        return [*self]
 
-      with moviewriter.saving('myfile.mp4'):
-          # Iterate over frames
-          moviewriter.grab_frame()
+    def __getitem__(self, name):
+        """Get an available writer class from its name."""
+        if self.is_available(name):
+            return self._registered[name]
+        raise RuntimeError(f"Requested MovieWriter ({name}) not available")
 
-    The use of the context manager ensures that setup and cleanup are
-    performed as necessary.
 
-    frame_format: string
-        The format used in writing frame data, defaults to 'rgba'
-    '''
-    def __init__(self, fps=5, codec=None, bitrate=None, extra_args=None,
-                 metadata=None):
-        '''
-        Construct a new MovieWriter object.
-
-        fps: int
-            Framerate for movie.
-        codec: string or None, optional
-            The codec to use. If None (the default) the setting in the
-            rcParam `animation.codec` is used.
-        bitrate: int or None, optional
-            The bitrate for the saved movie file, which is one way to control
-            the output file size and quality. The default value is None,
-            which uses the value stored in the rcParam `animation.bitrate`.
-            A value of -1 implies that the bitrate should be determined
-            automatically by the underlying utility.
-        extra_args: list of strings or None
-            A list of extra string arguments to be passed to the underlying
-            movie utiltiy. The default is None, which passes the additional
-            argurments in the 'animation.extra_args' rcParam.
-        metadata: dict of string:string or None
-            A dictionary of keys and values for metadata to include in the
-            output file. Some keys that may be of use include:
-            title, artist, genre, subject, copyright, srcform, comment.
-        '''
-        self.fps = fps
-        self.frame_format = 'rgba'
+writers = MovieWriterRegistry()
 
-        if codec is None:
-            self.codec = rcParams['animation.codec']
-        else:
-            self.codec = codec
 
-        if bitrate is None:
-            self.bitrate = rcParams['animation.bitrate']
-        else:
-            self.bitrate = bitrate
+class AbstractMovieWriter(abc.ABC):
+    """
+    Abstract base class for writing movies, providing a way to grab frames by
+    calling `~AbstractMovieWriter.grab_frame`.
 
-        if extra_args is None:
-            self.extra_args = list(rcParams[self.args_key])
-        else:
-            self.extra_args = extra_args
+    `setup` is called to start the process and `finish` is called afterwards.
+    `saving` is provided as a context manager to facilitate this process as ::
 
-        if metadata is None:
-            self.metadata = dict()
-        else:
-            self.metadata = metadata
+        with moviewriter.saving(fig, outfile='myfile.mp4', dpi=100):
+            # Iterate over frames
+            moviewriter.grab_frame(**savefig_kwargs)
 
-    @property
-    def frame_size(self):
-        'A tuple (width,height) in pixels of a movie frame.'
-        width_inches, height_inches = self.fig.get_size_inches()
-        return width_inches * self.dpi, height_inches * self.dpi
-
-    def setup(self, fig, outfile, dpi, *args):
-        '''
-        Perform setup for writing the movie file.
-
-        fig: `matplotlib.Figure` instance
-            The figure object that contains the information for frames
-        outfile: string
-            The filename of the resulting movie file
-        dpi: int
+    The use of the context manager ensures that `setup` and `finish` are
+    performed as necessary.
+
+    An instance of a concrete subclass of this class can be given as the
+    ``writer`` argument of `Animation.save()`.
+    """
+
+    def __init__(self, fps=5, metadata=None, codec=None, bitrate=None):
+        self.fps = fps
+        self.metadata = metadata if metadata is not None else {}
+        self.codec = mpl._val_or_rc(codec, 'animation.codec')
+        self.bitrate = mpl._val_or_rc(bitrate, 'animation.bitrate')
+
+    @abc.abstractmethod
+    def setup(self, fig, outfile, dpi=None):
+        """
+        Setup for writing the movie file.
+
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+            The figure object that contains the information for frames.
+        outfile : str
+            The filename of the resulting movie file.
+        dpi : float, default: ``fig.dpi``
             The DPI (or resolution) for the file.  This controls the size
             in pixels of the resulting movie file.
-        '''
+        """
+        # Check that path is valid
+        Path(outfile).parent.resolve(strict=True)
         self.outfile = outfile
         self.fig = fig
+        if dpi is None:
+            dpi = self.fig.dpi
         self.dpi = dpi
 
-        # Run here so that grab_frame() can write the data to a pipe. This
-        # eliminates the need for temp files.
-        self._run()
+    @property
+    def frame_size(self):
+        """A tuple ``(width, height)`` in pixels of a movie frame."""
+        w, h = self.fig.get_size_inches()
+        return int(w * self.dpi), int(h * self.dpi)
+
+    def _supports_transparency(self):
+        """
+        Whether this writer supports transparency.
+
+        Writers may consult output file type and codec to determine this at runtime.
+        """
+        return False
+
+    @abc.abstractmethod
+    def grab_frame(self, **savefig_kwargs):
+        """
+        Grab the image information from the figure and save as a movie frame.
+
+        All keyword arguments in *savefig_kwargs* are passed on to the
+        `~.Figure.savefig` call that saves the figure.  However, several
+        keyword arguments that are supported by `~.Figure.savefig` may not be
+        passed as they are controlled by the MovieWriter:
+
+        - *dpi*, *bbox_inches*:  These may not be passed because each frame of the
+           animation much be exactly the same size in pixels.
+        - *format*: This is controlled by the MovieWriter.
+        """
+
+    @abc.abstractmethod
+    def finish(self):
+        """Finish any processing for writing the movie."""
 
     @contextlib.contextmanager
-    def saving(self, *args):
-        '''
+    def saving(self, fig, outfile, dpi, *args, **kwargs):
+        """
         Context manager to facilitate writing the movie file.
 
-        ``*args`` are any parameters that should be passed to `setup`.
-        '''
+        ``*args, **kw`` are any parameters that should be passed to `setup`.
+        """
+        if mpl.rcParams['savefig.bbox'] == 'tight':
+            _log.info("Disabling savefig.bbox = 'tight', as it may cause "
+                      "frame size to vary, which is inappropriate for "
+                      "animation.")
+
         # This particular sequence is what contextlib.contextmanager wants
-        self.setup(*args)
-        yield
-        self.finish()
+        self.setup(fig, outfile, dpi, *args, **kwargs)
+        with mpl.rc_context({'savefig.bbox': None}):
+            try:
+                yield self
+            finally:
+                self.finish()
+
+
+class MovieWriter(AbstractMovieWriter):
+    """
+    Base class for writing movies.
+
+    This is a base class for MovieWriter subclasses that write a movie frame
+    data to a pipe. You cannot instantiate this class directly.
+    See examples for how to use its subclasses.
+
+    Attributes
+    ----------
+    frame_format : str
+        The format used in writing frame data, defaults to 'rgba'.
+    fig : `~matplotlib.figure.Figure`
+        The figure to capture data from.
+        This must be provided by the subclasses.
+    """
+
+    # Builtin writer subclasses additionally define the _exec_key and _args_key
+    # attributes, which indicate the rcParams entries where the path to the
+    # executable and additional command-line arguments to the executable are
+    # stored.  Third-party writers cannot meaningfully set these as they cannot
+    # extend rcParams with new keys.
+
+    # Pipe-based writers only support RGBA, but file-based ones support more
+    # formats.
+    supported_formats = ["rgba"]
+
+    def __init__(self, fps=5, codec=None, bitrate=None, extra_args=None,
+                 metadata=None):
+        """
+        Parameters
+        ----------
+        fps : int, default: 5
+            Movie frame rate (per second).
+        codec : str or None, default: :rc:`animation.codec`
+            The codec to use.
+        bitrate : int, default: :rc:`animation.bitrate`
+            The bitrate of the movie, in kilobits per second.  Higher values
+            means higher quality movies, but increase the file size.  A value
+            of -1 lets the underlying movie encoder select the bitrate.
+        extra_args : list of str or None, optional
+            Extra command-line arguments passed to the underlying movie encoder. These
+            arguments are passed last to the encoder, just before the filename. The
+            default, None, means to use :rc:`animation.[name-of-encoder]_args` for the
+            builtin writers.
+        metadata : dict[str, str], default: {}
+            A dictionary of keys and values for metadata to include in the
+            output file. Some keys that may be of use include:
+            title, artist, genre, subject, copyright, srcform, comment.
+        """
+        if type(self) is MovieWriter:
+            # TODO MovieWriter is still an abstract class and needs to be
+            #      extended with a mixin. This should be clearer in naming
+            #      and description. For now, just give a reasonable error
+            #      message to users.
+            raise TypeError(
+                'MovieWriter cannot be instantiated directly. Please use one '
+                'of its subclasses.')
+
+        super().__init__(fps=fps, metadata=metadata, codec=codec,
+                         bitrate=bitrate)
+        self.frame_format = self.supported_formats[0]
+        self.extra_args = extra_args
+
+    def _adjust_frame_size(self):
+        if self.codec == 'h264':
+            wo, ho = self.fig.get_size_inches()
+            w, h = adjusted_figsize(wo, ho, self.dpi, 2)
+            if (wo, ho) != (w, h):
+                self.fig.set_size_inches(w, h, forward=True)
+                _log.info('figure size in inches has been adjusted '
+                          'from %s x %s to %s x %s', wo, ho, w, h)
+        else:
+            w, h = self.fig.get_size_inches()
+        _log.debug('frame size in pixels is %s x %s', *self.frame_size)
+        return w, h
+
+    def setup(self, fig, outfile, dpi=None):
+        # docstring inherited
+        super().setup(fig, outfile, dpi=dpi)
+        self._w, self._h = self._adjust_frame_size()
+        # Run here so that grab_frame() can write the data to a pipe. This
+        # eliminates the need for temp files.
+        self._run()
 
     def _run(self):
         # Uses subprocess to call the program for assembling frames into a
         # movie file.  *args* returns the sequence of command line arguments
         # from a few configuration options.
         command = self._args()
-        if verbose.ge('debug'):
-            output = sys.stdout
-        else:
-            output = subprocess.PIPE
-        verbose.report('MovieWriter.run: running command: %s' %
-                       ' '.join(command))
-        self._proc = subprocess.Popen(command, shell=False,
-                                      stdout=output, stderr=output,
-                                      stdin=subprocess.PIPE)
+        _log.info('MovieWriter._run: running command: %s',
+                  cbook._pformat_subprocess(command))
+        PIPE = subprocess.PIPE
+        self._proc = subprocess.Popen(
+            command, stdin=PIPE, stdout=PIPE, stderr=PIPE,
+            creationflags=subprocess_creation_flags)
 
     def finish(self):
-        'Finish any processing for writing the movie.'
-        self.cleanup()
+        """Finish any processing for writing the movie."""
+        out, err = self._proc.communicate()
+        # Use the encoding/errors that universal_newlines would use.
+        out = TextIOWrapper(BytesIO(out)).read()
+        err = TextIOWrapper(BytesIO(err)).read()
+        if out:
+            _log.log(
+                logging.WARNING if self._proc.returncode else logging.DEBUG,
+                "MovieWriter stdout:\n%s", out)
+        if err:
+            _log.log(
+                logging.WARNING if self._proc.returncode else logging.DEBUG,
+                "MovieWriter stderr:\n%s", err)
+        if self._proc.returncode:
+            raise subprocess.CalledProcessError(
+                self._proc.returncode, self._proc.args, out, err)
 
     def grab_frame(self, **savefig_kwargs):
-        '''
-        Grab the image information from the figure and save as a movie frame.
-        All keyword arguments in savefig_kwargs are passed on to the 'savefig'
-        command that saves the figure.
-        '''
-        verbose.report('MovieWriter.grab_frame: Grabbing frame.',
-                       level='debug')
-        try:
-            # Tell the figure to save its data to the sink, using the
-            # frame format and dpi.
-            self.fig.savefig(self._frame_sink(), format=self.frame_format,
-                             dpi=self.dpi, **savefig_kwargs)
-        except RuntimeError:
-            out, err = self._proc.communicate()
-            verbose.report('MovieWriter -- Error '
-                           'running proc:\n%s\n%s' % (out,
-                                                      err), level='helpful')
-            raise
-
-    def _frame_sink(self):
-        'Returns the place to which frames should be written.'
-        return self._proc.stdin
+        # docstring inherited
+        _validate_grabframe_kwargs(savefig_kwargs)
+        _log.debug('MovieWriter.grab_frame: Grabbing frame.')
+        # Readjust the figure size in case it has been changed by the user.
+        # All frames must have the same size to save the movie correctly.
+        self.fig.set_size_inches(self._w, self._h)
+        # Save the figure data to the sink, using the frame format and dpi.
+        self.fig.savefig(self._proc.stdin, format=self.frame_format,
+                         dpi=self.dpi, **savefig_kwargs)
 
     def _args(self):
-        'Assemble list of utility-specific command-line arguments.'
+        """Assemble list of encoder-specific command-line arguments."""
         return NotImplementedError("args needs to be implemented by subclass.")
 
-    def cleanup(self):
-        'Clean-up and collect the process used to write the movie file.'
-        out, err = self._proc.communicate()
-        self._frame_sink().close()
-        verbose.report('MovieWriter -- '
-                       'Command stdout:\n%s' % out, level='debug')
-        verbose.report('MovieWriter -- '
-                       'Command stderr:\n%s' % err, level='debug')
-
     @classmethod
     def bin_path(cls):
-        '''
-        Returns the binary path to the commandline tool used by a specific
+        """
+        Return the binary path to the commandline tool used by a specific
         subclass. This is a class method so that the tool can be looked for
         before making a particular MovieWriter subclass available.
-        '''
-        return rcParams[cls.exec_key]
+        """
+        return str(mpl.rcParams[cls._exec_key])
 
     @classmethod
     def isAvailable(cls):
-        '''
-        Check to see if a MovieWriter subclass is actually available by
-        running the commandline tool.
-        '''
-        try:
-            p = subprocess.Popen(cls.bin_path(),
-                             shell=False,
-                             stdout=subprocess.PIPE,
-                             stderr=subprocess.PIPE)
-            p.communicate()
-            return True
-        except OSError:
-            return False
+        """Return whether a MovieWriter subclass is actually available."""
+        return shutil.which(cls.bin_path()) is not None
 
 
 class FileMovieWriter(MovieWriter):
-    '`MovieWriter` subclass that handles writing to a file.'
+    """
+    `MovieWriter` for writing to individual files and stitching at the end.
+
+    This must be sub-classed to be useful.
+    """
     def __init__(self, *args, **kwargs):
-        MovieWriter.__init__(self, *args, **kwargs)
-        self.frame_format = rcParams['animation.frame_format']
-
-    def setup(self, fig, outfile, dpi, frame_prefix='_tmp', clear_temp=True):
-        '''
-        Perform setup for writing the movie file.
-
-        fig: `matplotlib.Figure` instance
-            The figure object that contains the information for frames
-        outfile: string
-            The filename of the resulting movie file
-        dpi: int
-            The DPI (or resolution) for the file.  This controls the size
-            in pixels of the resulting movie file.
-        frame_prefix: string, optional
-            The filename prefix to use for the temporary files. Defaults
-            to '_tmp'
-        clear_temp: bool
-            Specifies whether the temporary files should be deleted after
-            the movie is written. (Useful for debugging.) Defaults to True.
-        '''
+        super().__init__(*args, **kwargs)
+        self.frame_format = mpl.rcParams['animation.frame_format']
+
+    def setup(self, fig, outfile, dpi=None, frame_prefix=None):
+        """
+        Setup for writing the movie file.
+
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+            The figure to grab the rendered frames from.
+        outfile : str
+            The filename of the resulting movie file.
+        dpi : float, default: ``fig.dpi``
+            The dpi of the output file. This, with the figure size,
+            controls the size in pixels of the resulting movie file.
+        frame_prefix : str, optional
+            The filename prefix to use for temporary files.  If *None* (the
+            default), files are written to a temporary directory which is
+            deleted by `finish`; if not *None*, no temporary files are
+            deleted.
+        """
+        # Check that path is valid
+        Path(outfile).parent.resolve(strict=True)
         self.fig = fig
         self.outfile = outfile
+        if dpi is None:
+            dpi = self.fig.dpi
         self.dpi = dpi
-        self.clear_temp = clear_temp
-        self.temp_prefix = frame_prefix
+        self._adjust_frame_size()
+
+        if frame_prefix is None:
+            self._tmpdir = TemporaryDirectory()
+            self.temp_prefix = str(Path(self._tmpdir.name, 'tmp'))
+        else:
+            self._tmpdir = None
+            self.temp_prefix = frame_prefix
         self._frame_counter = 0  # used for generating sequential file names
-        self._temp_names = list()
+        self._temp_paths = list()
         self.fname_format_str = '%s%%07d.%s'
 
+    def __del__(self):
+        if hasattr(self, '_tmpdir') and self._tmpdir:
+            self._tmpdir.cleanup()
+
     @property
     def frame_format(self):
-        '''
+        """
         Format (png, jpeg, etc.) to use for saving the frames, which can be
         decided by the individual subclasses.
-        '''
+        """
         return self._frame_format
 
     @frame_format.setter
@@ -304,6 +436,10 @@ def frame_format(self, frame_format):
         if frame_format in self.supported_formats:
             self._frame_format = frame_format
         else:
+            _api.warn_external(
+                f"Ignoring file format {frame_format!r} which is not "
+                f"supported by {type(self).__name__}; using "
+                f"{self.supported_formats[0]} instead.")
             self._frame_format = self.supported_formats[0]
 
     def _base_temp_name(self):
@@ -311,255 +447,438 @@ def _base_temp_name(self):
         # for extension and the prefix.
         return self.fname_format_str % (self.temp_prefix, self.frame_format)
 
-    def _frame_sink(self):
-        # Creates a filename for saving using the basename and the current
-        # counter.
-        fname = self._base_temp_name() % self._frame_counter
-
-        # Save the filename so we can delete it later if necessary
-        self._temp_names.append(fname)
-        verbose.report(
-            'FileMovieWriter.frame_sink: saving frame %d to fname=%s' %
-            (self._frame_counter, fname),
-            level='debug')
-        self._frame_counter += 1  # Ensures each created name is 'unique'
-
-        # This file returned here will be closed once it's used by savefig()
-        # because it will no longer be referenced and will be gc-ed.
-        return open(fname, 'wb')
-
     def grab_frame(self, **savefig_kwargs):
-        '''
-        Grab the image information from the figure and save as a movie frame.
-        All keyword arguments in savefig_kwargs are passed on to the 'savefig'
-        command that saves the figure.
-        '''
-        #Overloaded to explicitly close temp file.
-        verbose.report('MovieWriter.grab_frame: Grabbing frame.',
-                       level='debug')
-        try:
-            # Tell the figure to save its data to the sink, using the
-            # frame format and dpi.
-            myframesink = self._frame_sink()
-            self.fig.savefig(myframesink, format=self.frame_format,
-                             dpi=self.dpi, **savefig_kwargs)
-            myframesink.close()
-
-        except RuntimeError:
-            out, err = self._proc.communicate()
-            verbose.report('MovieWriter -- Error '
-                           'running proc:\n%s\n%s' % (out,
-                                                      err), level='helpful')
-            raise
+        # docstring inherited
+        # Creates a filename for saving using basename and counter.
+        _validate_grabframe_kwargs(savefig_kwargs)
+        path = Path(self._base_temp_name() % self._frame_counter)
+        self._temp_paths.append(path)  # Record the filename for later use.
+        self._frame_counter += 1  # Ensures each created name is unique.
+        _log.debug('FileMovieWriter.grab_frame: Grabbing frame %d to path=%s',
+                   self._frame_counter, path)
+        with open(path, 'wb') as sink:  # Save figure to the sink.
+            self.fig.savefig(sink, format=self.frame_format, dpi=self.dpi,
+                             **savefig_kwargs)
 
     def finish(self):
         # Call run here now that all frame grabbing is done. All temp files
         # are available to be assembled.
-        self._run()
-        MovieWriter.finish(self)  # Will call clean-up
+        try:
+            self._run()
+            super().finish()
+        finally:
+            if self._tmpdir:
+                _log.debug(
+                    'MovieWriter: clearing temporary path=%s', self._tmpdir
+                )
+                self._tmpdir.cleanup()
 
-        # Check error code for creating file here, since we just run
-        # the process here, rather than having an open pipe.
-        if self._proc.returncode:
-            raise RuntimeError('Error creating movie, return code: '
-                               + str(self._proc.returncode)
-                               + ' Try running with --verbose-debug')
 
-    def cleanup(self):
-        MovieWriter.cleanup(self)
+@writers.register('pillow')
+class PillowWriter(AbstractMovieWriter):
+    def _supports_transparency(self):
+        return True
 
-        #Delete temporary files
-        if self.clear_temp:
-            import os
-            verbose.report(
-                'MovieWriter: clearing temporary fnames=%s' %
-                str(self._temp_names),
-                level='debug')
-            for fname in self._temp_names:
-                os.remove(fname)
+    @classmethod
+    def isAvailable(cls):
+        return True
+
+    def setup(self, fig, outfile, dpi=None):
+        super().setup(fig, outfile, dpi=dpi)
+        self._frames = []
+
+    def grab_frame(self, **savefig_kwargs):
+        _validate_grabframe_kwargs(savefig_kwargs)
+        buf = BytesIO()
+        self.fig.savefig(
+            buf, **{**savefig_kwargs, "format": "rgba", "dpi": self.dpi})
+        im = Image.frombuffer(
+            "RGBA", self.frame_size, buf.getbuffer(), "raw", "RGBA", 0, 1)
+        if im.getextrema()[3][0] < 255:
+            # This frame has transparency, so we'll just add it as is.
+            self._frames.append(im)
+        else:
+            # Without transparency, we switch to RGB mode, which converts to P mode a
+            # little better if needed (specifically, this helps with GIF output.)
+            self._frames.append(im.convert("RGB"))
+
+    def finish(self):
+        self._frames[0].save(
+            self.outfile, save_all=True, append_images=self._frames[1:],
+            duration=int(1000 / self.fps), loop=0)
 
 
 # Base class of ffmpeg information. Has the config keys and the common set
 # of arguments that controls the *output* side of things.
-class FFMpegBase(object):
-    exec_key = 'animation.ffmpeg_path'
-    args_key = 'animation.ffmpeg_args'
+class FFMpegBase:
+    """
+    Mixin class for FFMpeg output.
+
+    This is a base class for the concrete `FFMpegWriter` and `FFMpegFileWriter`
+    classes.
+    """
+
+    _exec_key = 'animation.ffmpeg_path'
+    _args_key = 'animation.ffmpeg_args'
+
+    def _supports_transparency(self):
+        suffix = Path(self.outfile).suffix
+        if suffix in {'.apng', '.avif', '.gif', '.webm', '.webp'}:
+            return True
+        # This list was found by going through `ffmpeg -codecs` for video encoders,
+        # running them with _support_transparency() forced to True, and checking that
+        # the "Pixel format" in Kdenlive included alpha. Note this is not a guarantee
+        # that transparency will work; you may also need to pass `-pix_fmt`, but we
+        # trust the user has done so if they are asking for these formats.
+        return self.codec in {
+            'apng', 'avrp', 'bmp', 'cfhd', 'dpx', 'ffv1', 'ffvhuff', 'gif', 'huffyuv',
+            'jpeg2000', 'ljpeg', 'png', 'prores', 'prores_aw', 'prores_ks', 'qtrle',
+            'rawvideo', 'targa', 'tiff', 'utvideo', 'v408', }
 
     @property
     def output_args(self):
-        # The %dk adds 'k' as a suffix so that ffmpeg treats our bitrate as in
-        # kbps
-        args = ['-vcodec', self.codec]
+        args = []
+        suffix = Path(self.outfile).suffix
+        if suffix in {'.apng', '.avif', '.gif', '.webm', '.webp'}:
+            self.codec = suffix[1:]
+        else:
+            args.extend(['-vcodec', self.codec])
+        extra_args = (self.extra_args if self.extra_args is not None
+                      else mpl.rcParams[self._args_key])
+        # For h264, the default format is yuv444p, which is not compatible
+        # with quicktime (and others). Specifying yuv420p fixes playback on
+        # iOS, as well as HTML5 video in firefox and safari (on both Windows and
+        # macOS). Also fixes internet explorer. This is as of 2015/10/29.
+        if self.codec == 'h264' and '-pix_fmt' not in extra_args:
+            args.extend(['-pix_fmt', 'yuv420p'])
+        # For GIF, we're telling FFmpeg to split the video stream, to generate
+        # a palette, and then use it for encoding.
+        elif self.codec == 'gif' and '-filter_complex' not in extra_args:
+            args.extend(['-filter_complex',
+                         'split [a][b];[a] palettegen [p];[b][p] paletteuse'])
+        # For AVIF, we're telling FFmpeg to split the video stream, extract the alpha,
+        # in order to place it in a secondary stream, as needed by AVIF-in-FFmpeg.
+        elif self.codec == 'avif' and '-filter_complex' not in extra_args:
+            args.extend(['-filter_complex',
+                         'split [rgb][rgba]; [rgba] alphaextract [alpha]',
+                         '-map', '[rgb]', '-map', '[alpha]'])
         if self.bitrate > 0:
-            args.extend(['-b', '%dk' % self.bitrate])
-        if self.extra_args:
-            args.extend(self.extra_args)
-        for k, v in six.iteritems(self.metadata):
-            args.extend(['-metadata', '%s=%s' % (k, v)])
+            args.extend(['-b', '%dk' % self.bitrate])  # %dk: bitrate in kbps.
+        for k, v in self.metadata.items():
+            args.extend(['-metadata', f'{k}={v}'])
+        args.extend(extra_args)
 
         return args + ['-y', self.outfile]
 
 
 # Combine FFMpeg options with pipe-based writing
 @writers.register('ffmpeg')
-class FFMpegWriter(MovieWriter, FFMpegBase):
+class FFMpegWriter(FFMpegBase, MovieWriter):
+    """
+    Pipe-based ffmpeg writer.
+
+    Frames are streamed directly to ffmpeg via a pipe and written in a single pass.
+
+    This effectively works as a slideshow input to ffmpeg with the fps passed as
+    ``-framerate``, so see also `their notes on frame rates`_ for further details.
+
+    .. _their notes on frame rates: https://trac.ffmpeg.org/wiki/Slideshow#Framerates
+    """
     def _args(self):
         # Returns the command line parameters for subprocess to use
         # ffmpeg to create a movie using a pipe.
         args = [self.bin_path(), '-f', 'rawvideo', '-vcodec', 'rawvideo',
                 '-s', '%dx%d' % self.frame_size, '-pix_fmt', self.frame_format,
-                '-r', str(self.fps)]
+                '-framerate', str(self.fps)]
         # Logging is quieted because subprocess.PIPE has limited buffer size.
-        if not verbose.ge('debug'):
-            args += ['-loglevel', 'quiet']
+        # If you have a lot of frames in your animation and set logging to
+        # DEBUG, you will have a buffer overrun.
+        if _log.getEffectiveLevel() > logging.DEBUG:
+            args += ['-loglevel', 'error']
         args += ['-i', 'pipe:'] + self.output_args
         return args
 
 
-#Combine FFMpeg options with temp file-based writing
+# Combine FFMpeg options with temp file-based writing
 @writers.register('ffmpeg_file')
-class FFMpegFileWriter(FileMovieWriter, FFMpegBase):
-    supported_formats = ['png', 'jpeg', 'ppm', 'tiff', 'sgi', 'bmp',
-                         'pbm', 'raw', 'rgba']
+class FFMpegFileWriter(FFMpegBase, FileMovieWriter):
+    """
+    File-based ffmpeg writer.
+
+    Frames are written to temporary files on disk and then stitched together at the end.
+
+    This effectively works as a slideshow input to ffmpeg with the fps passed as
+    ``-framerate``, so see also `their notes on frame rates`_ for further details.
+
+    .. _their notes on frame rates: https://trac.ffmpeg.org/wiki/Slideshow#Framerates
+    """
+    supported_formats = ['png', 'jpeg', 'tiff', 'raw', 'rgba']
 
     def _args(self):
         # Returns the command line parameters for subprocess to use
         # ffmpeg to create a movie using a collection of temp images
-        return [self.bin_path(), '-i', self._base_temp_name(),
-                '-vframes', str(self._frame_counter),
-                '-r', str(self.fps)] + self.output_args
-
-
-# Base class of avconv information.  AVConv has identical arguments to
-# FFMpeg
-class AVConvBase(FFMpegBase):
-    exec_key = 'animation.avconv_path'
-    args_key = 'animation.avconv_args'
+        args = []
+        # For raw frames, we need to explicitly tell ffmpeg the metadata.
+        if self.frame_format in {'raw', 'rgba'}:
+            args += [
+                '-f', 'image2', '-vcodec', 'rawvideo',
+                '-video_size', '%dx%d' % self.frame_size,
+                '-pixel_format', 'rgba',
+            ]
+        args += ['-framerate', str(self.fps), '-i', self._base_temp_name()]
+        if not self._tmpdir:
+            args += ['-frames:v', str(self._frame_counter)]
+        # Logging is quieted because subprocess.PIPE has limited buffer size.
+        # If you have a lot of frames in your animation and set logging to
+        # DEBUG, you will have a buffer overrun.
+        if _log.getEffectiveLevel() > logging.DEBUG:
+            args += ['-loglevel', 'error']
+        return [self.bin_path(), *args, *self.output_args]
 
 
-# Combine AVConv options with pipe-based writing
-@writers.register('avconv')
-class AVConvWriter(AVConvBase, FFMpegWriter):
-    pass
+# Base class for animated GIFs with ImageMagick
+class ImageMagickBase:
+    """
+    Mixin class for ImageMagick output.
 
+    This is a base class for the concrete `ImageMagickWriter` and
+    `ImageMagickFileWriter` classes, which define an ``input_names`` attribute
+    (or property) specifying the input names passed to ImageMagick.
+    """
 
-# Combine AVConv options with file-based writing
-@writers.register('avconv_file')
-class AVConvFileWriter(AVConvBase, FFMpegFileWriter):
-    pass
+    _exec_key = 'animation.convert_path'
+    _args_key = 'animation.convert_args'
 
+    def _supports_transparency(self):
+        suffix = Path(self.outfile).suffix
+        return suffix in {'.apng', '.avif', '.gif', '.webm', '.webp'}
 
-# Base class of mencoder information. Contains configuration key information
-# as well as arguments for controlling *output*
-class MencoderBase(object):
-    exec_key = 'animation.mencoder_path'
-    args_key = 'animation.mencoder_args'
+    def _args(self):
+        # ImageMagick does not recognize "raw".
+        fmt = "rgba" if self.frame_format == "raw" else self.frame_format
+        extra_args = (self.extra_args if self.extra_args is not None
+                      else mpl.rcParams[self._args_key])
+        return [
+            self.bin_path(),
+            "-size", "%ix%i" % self.frame_size,
+            "-depth", "8",
+            "-delay", str(100 / self.fps),
+            "-loop", "0",
+            f"{fmt}:{self.input_names}",
+            *extra_args,
+            self.outfile,
+        ]
 
-    # Mencoder only allows certain keys, other ones cause the program
-    # to fail.
-    allowed_metadata = ['name', 'artist', 'genre', 'subject', 'copyright',
-                        'srcform', 'comment']
+    @classmethod
+    def bin_path(cls):
+        binpath = super().bin_path()
+        if binpath == 'convert':
+            binpath = mpl._get_executable_info('magick').executable
+        return binpath
 
-    # Mencoder mandates using name, but 'title' works better with ffmpeg.
-    # If we find it, just put it's value into name
-    def _remap_metadata(self):
-        if 'title' in self.metadata:
-            self.metadata['name'] = self.metadata['title']
+    @classmethod
+    def isAvailable(cls):
+        try:
+            return super().isAvailable()
+        except mpl.ExecutableNotFoundError as _enf:
+            # May be raised by get_executable_info.
+            _log.debug('ImageMagick unavailable due to: %s', _enf)
+            return False
 
-    @property
-    def output_args(self):
-        self._remap_metadata()
-        args = ['-o', self.outfile, '-ovc', 'lavc', '-lavcopts',
-                'vcodec=%s' % self.codec]
-        if self.bitrate > 0:
-            args.append('vbitrate=%d' % self.bitrate)
-        if self.extra_args:
-            args.extend(self.extra_args)
-        if self.metadata:
-            args.extend(['-info', ':'.join('%s=%s' % (k, v)
-                         for k, v in six.iteritems(self.metadata)
-                         if k in self.allowed_metadata)])
-        return args
 
+# Combine ImageMagick options with pipe-based writing
+@writers.register('imagemagick')
+class ImageMagickWriter(ImageMagickBase, MovieWriter):
+    """
+    Pipe-based animated gif writer.
 
-# Combine Mencoder options with pipe-based writing
-@writers.register('mencoder')
-class MencoderWriter(MovieWriter, MencoderBase):
-    def _args(self):
-        # Returns the command line parameters for subprocess to use
-        # mencoder to create a movie
-        return [self.bin_path(), '-', '-demuxer', 'rawvideo', '-rawvideo',
-                ('w=%i:h=%i:' % self.frame_size +
-                'fps=%i:format=%s' % (self.fps,
-                                      self.frame_format))] + self.output_args
+    Frames are streamed directly to ImageMagick via a pipe and written
+    in a single pass.
+    """
 
+    input_names = "-"  # stdin
 
-# Combine Mencoder options with temp file-based writing
-@writers.register('mencoder_file')
-class MencoderFileWriter(FileMovieWriter, MencoderBase):
-    supported_formats = ['png', 'jpeg', 'tga', 'sgi']
 
-    def _args(self):
-        # Returns the command line parameters for subprocess to use
-        # mencoder to create a movie
-        return [self.bin_path(),
-                'mf://%s*.%s' % (self.temp_prefix, self.frame_format),
-                '-frames', str(self._frame_counter), '-mf',
-                'type=%s:fps=%d' % (self.frame_format,
-                                    self.fps)] + self.output_args
+# Combine ImageMagick options with temp file-based writing
+@writers.register('imagemagick_file')
+class ImageMagickFileWriter(ImageMagickBase, FileMovieWriter):
+    """
+    File-based animated gif writer.
 
+    Frames are written to temporary files on disk and then stitched
+    together at the end.
+    """
 
-# Base class for animated GIFs with convert utility
-class ImageMagickBase(object):
-    exec_key = 'animation.convert_path'
-    args_key = 'animation.convert_args'
+    supported_formats = ['png', 'jpeg', 'tiff', 'raw', 'rgba']
+    input_names = property(
+        lambda self: f'{self.temp_prefix}*.{self.frame_format}')
 
-    @property
-    def delay(self):
-        return 100. / self.fps
 
-    @property
-    def output_args(self):
-        return [self.outfile]
+# Taken directly from jakevdp's JSAnimation package at
+# http://github.com/jakevdp/JSAnimation
+def _included_frames(frame_count, frame_format, frame_dir):
+    return INCLUDED_FRAMES.format(Nframes=frame_count,
+                                  frame_dir=frame_dir,
+                                  frame_format=frame_format)
 
 
-@writers.register('imagemagick')
-class ImageMagickWriter(MovieWriter, ImageMagickBase):
-    def _args(self):
-        return ([self.bin_path(),
-                 '-size', '%ix%i' % self.frame_size, '-depth', '8',
-                 '-delay', str(self.delay), '-loop', '0',
-                 '%s:-' % self.frame_format]
-                + self.output_args)
+def _embedded_frames(frame_list, frame_format):
+    """frame_list should be a list of base64-encoded png files"""
+    if frame_format == 'svg':
+        # Fix MIME type for svg
+        frame_format = 'svg+xml'
+    template = '  frames[{0}] = "data:image/{1};base64,{2}"\n'
+    return "\n" + "".join(
+        template.format(i, frame_format, frame_data.replace('\n', '\\\n'))
+        for i, frame_data in enumerate(frame_list))
 
 
-@writers.register('imagemagick_file')
-class ImageMagickFileWriter(FileMovieWriter, ImageMagickBase):
-    supported_formats = ['png', 'jpeg', 'ppm', 'tiff', 'sgi', 'bmp',
-                         'pbm', 'raw', 'rgba']
+@writers.register('html')
+class HTMLWriter(FileMovieWriter):
+    """Writer for JavaScript-based HTML movies."""
 
-    def _args(self):
-        return ([self.bin_path(), '-delay', str(self.delay), '-loop', '0',
-                 '%s*.%s' % (self.temp_prefix, self.frame_format)]
-                + self.output_args)
+    supported_formats = ['png', 'jpeg', 'tiff', 'svg']
 
+    @classmethod
+    def isAvailable(cls):
+        return True
+
+    def __init__(self, fps=30, codec=None, bitrate=None, extra_args=None,
+                 metadata=None, embed_frames=False, default_mode='loop',
+                 embed_limit=None):
+
+        if extra_args:
+            _log.warning("HTMLWriter ignores 'extra_args'")
+        extra_args = ()  # Don't lookup nonexistent rcParam[args_key].
+        self.embed_frames = embed_frames
+        self.default_mode = default_mode.lower()
+        _api.check_in_list(['loop', 'once', 'reflect'],
+                           default_mode=self.default_mode)
+
+        # Save embed limit, which is given in MB
+        self._bytes_limit = mpl._val_or_rc(embed_limit, 'animation.embed_limit')
+        # Convert from MB to bytes
+        self._bytes_limit *= 1024 * 1024
+
+        super().__init__(fps, codec, bitrate, extra_args, metadata)
+
+    def setup(self, fig, outfile, dpi=None, frame_dir=None):
+        outfile = Path(outfile)
+        _api.check_in_list(['.html', '.htm'], outfile_extension=outfile.suffix)
+
+        self._saved_frames = []
+        self._total_bytes = 0
+        self._hit_limit = False
+
+        if not self.embed_frames:
+            if frame_dir is None:
+                frame_dir = outfile.with_name(outfile.stem + '_frames')
+            frame_dir.mkdir(parents=True, exist_ok=True)
+            frame_prefix = frame_dir / 'frame'
+        else:
+            frame_prefix = None
 
-class Animation(object):
-    '''
-    This class wraps the creation of an animation using matplotlib. It is
-    only a base class which should be subclassed to provide needed behavior.
+        super().setup(fig, outfile, dpi, frame_prefix)
+        self._clear_temp = False
 
-    *fig* is the figure object that is used to get draw, resize, and any
-    other needed events.
+    def grab_frame(self, **savefig_kwargs):
+        _validate_grabframe_kwargs(savefig_kwargs)
+        if self.embed_frames:
+            # Just stop processing if we hit the limit
+            if self._hit_limit:
+                return
+            f = BytesIO()
+            self.fig.savefig(f, format=self.frame_format,
+                             dpi=self.dpi, **savefig_kwargs)
+            imgdata64 = base64.encodebytes(f.getvalue()).decode('ascii')
+            self._total_bytes += len(imgdata64)
+            if self._total_bytes >= self._bytes_limit:
+                _log.warning(
+                    "Animation size has reached %s bytes, exceeding the limit "
+                    "of %s. If you're sure you want a larger animation "
+                    "embedded, set the animation.embed_limit rc parameter to "
+                    "a larger value (in MB). This and further frames will be "
+                    "dropped.", self._total_bytes, self._bytes_limit)
+                self._hit_limit = True
+            else:
+                self._saved_frames.append(imgdata64)
+        else:
+            return super().grab_frame(**savefig_kwargs)
 
-    *event_source* is a class that can run a callback when desired events
-    are generated, as well as be stopped and started. Examples include timers
-    (see :class:`TimedAnimation`) and file system notifications.
+    def finish(self):
+        # save the frames to an html file
+        if self.embed_frames:
+            fill_frames = _embedded_frames(self._saved_frames,
+                                           self.frame_format)
+            frame_count = len(self._saved_frames)
+        else:
+            # temp names is filled by FileMovieWriter
+            frame_count = len(self._temp_paths)
+            fill_frames = _included_frames(
+                frame_count, self.frame_format,
+                self._temp_paths[0].parent.relative_to(self.outfile.parent))
+        mode_dict = dict(once_checked='',
+                         loop_checked='',
+                         reflect_checked='')
+        mode_dict[self.default_mode + '_checked'] = 'checked'
+
+        interval = 1000 // self.fps
+
+        with open(self.outfile, 'w') as of:
+            of.write(JS_INCLUDE + STYLE_INCLUDE)
+            of.write(DISPLAY_TEMPLATE.format(id=uuid.uuid4().hex,
+                                             Nframes=frame_count,
+                                             fill_frames=fill_frames,
+                                             interval=interval,
+                                             **mode_dict))
+
+        # Duplicate the temporary file clean up logic from
+        # FileMovieWriter.finish.  We cannot call the inherited version of
+        # finish because it assumes that there is a subprocess that we either
+        # need to call to merge many frames together or that there is a
+        # subprocess call that we need to clean up.
+        if self._tmpdir:
+            _log.debug('MovieWriter: clearing temporary path=%s', self._tmpdir)
+            self._tmpdir.cleanup()
+
+
+class Animation:
+    """
+    A base class for Animations.
+
+    This class is not usable as is, and should be subclassed to provide needed
+    behavior.
+
+    .. note::
+
+        You must store the created Animation in a variable that lives as long
+        as the animation should run. Otherwise, the Animation object will be
+        garbage-collected and the animation stops.
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        The figure object used to get needed events, such as draw or resize.
+
+    event_source : object, optional
+        A class that can run a callback when desired events
+        are generated, as well as be stopped and started.
+
+        Examples include timers (see `TimedAnimation`) and file
+        system notifications.
+
+    blit : bool, default: False
+        Whether blitting is used to optimize drawing.  If the backend does not
+        support blitting, then this parameter has no effect.
+
+    See Also
+    --------
+    FuncAnimation,  ArtistAnimation
+    """
 
-    *blit* is a boolean that controls whether blitting is used to optimize
-    drawing.
-    '''
     def __init__(self, fig, event_source=None, blit=False):
+        self._draw_was_started = False
+
         self._fig = fig
         # Disables blitting for backends that don't support it.  This
         # allows users to request it if available, but still have a
@@ -572,9 +891,7 @@ def __init__(self, fig, event_source=None, blit=False):
         # that cause the frame sequence to be iterated.
         self.frame_seq = self.new_frame_seq()
         self.event_source = event_source
-
-        # Clear the initial frame
-        self._init_draw()
+        self.event_source.add_callback(self._step)
 
         # Instead of starting the event source now, we connect to the figure's
         # draw_event, so that we only start once the figure has been drawn.
@@ -587,18 +904,30 @@ def __init__(self, fig, event_source=None, blit=False):
         if self._blit:
             self._setup_blit()
 
+    def __del__(self):
+        if not getattr(self, '_draw_was_started', True):
+            warnings.warn(
+                'Animation was deleted without rendering anything. This is '
+                'most likely not intended. To prevent deletion, assign the '
+                'Animation to a variable, e.g. `anim`, that exists until you '
+                'output the Animation using `plt.show()` or '
+                '`anim.save()`.'
+            )
+
     def _start(self, *args):
-        '''
+        """
         Starts interactive animation. Adds the draw frame command to the GUI
         handler, calls show to start the event loop.
-        '''
-        # On start, we add our callback for stepping the animation and
-        # actually start the event_source. We also disconnect _start
-        # from the draw_events
-        self.event_source.add_callback(self._step)
-        self.event_source.start()
+        """
+        # Do not start the event source if saving() it.
+        if self._fig.canvas.is_saving():
+            return
+        # First disconnect our draw event handler
         self._fig.canvas.mpl_disconnect(self._first_draw_id)
-        self._first_draw_id = None  # So we can check on save
+        # Now do any initial draw
+        self._init_draw()
+        # Actually start the event_source.
+        self.event_source.start()
 
     def _stop(self, *args):
         # On stop we disconnect all of our events.
@@ -610,158 +939,194 @@ def _stop(self, *args):
 
     def save(self, filename, writer=None, fps=None, dpi=None, codec=None,
              bitrate=None, extra_args=None, metadata=None, extra_anim=None,
-             savefig_kwargs=None):
-        '''
-        Saves a movie file by drawing every frame.
-
-        *filename* is the output filename, e.g., :file:`mymovie.mp4`
-
-        *writer* is either an instance of :class:`MovieWriter` or a string
-        key that identifies a class to use, such as 'ffmpeg' or 'mencoder'.
-        If nothing is passed, the value of the rcparam `animation.writer` is
-        used.
-
-        *fps* is the frames per second in the movie. Defaults to None,
-        which will use the animation's specified interval to set the frames
-        per second.
-
-        *dpi* controls the dots per inch for the movie frames. This combined
-        with the figure's size in inches controls the size of the movie.
-
-        *codec* is the video codec to be used. Not all codecs are supported
-        by a given :class:`MovieWriter`. If none is given, this defaults to the
-        value specified by the rcparam `animation.codec`.
-
-        *bitrate* specifies the amount of bits used per second in the
-        compressed movie, in kilobits per second. A higher number means a
-        higher quality movie, but at the cost of increased file size. If no
-        value is given, this defaults to the value given by the rcparam
-        `animation.bitrate`.
-
-        *extra_args* is a list of extra string arguments to be passed to the
-        underlying movie utiltiy. The default is None, which passes the
-        additional argurments in the 'animation.extra_args' rcParam.
-
-        *metadata* is a dictionary of keys and values for metadata to include
-        in the output file. Some keys that may be of use include:
-        title, artist, genre, subject, copyright, srcform, comment.
-
-        *extra_anim* is a list of additional `Animation` objects that should
-        be included in the saved movie file. These need to be from the same
-        `matplotlib.Figure` instance. Also, animation frames will just be
-        simply combined, so there should be a 1:1 correspondence between
-        the frames from the different animations.
-
-        *savefig_kwargs* is a dictionary containing keyword arguments to be
-        passed on to the 'savefig' command which is called repeatedly to save
-        the individual frames. This can be used to set tight bounding boxes,
-        for example.
-        '''
-        if savefig_kwargs is None:
-            savefig_kwargs = {}
+             savefig_kwargs=None, *, progress_callback=None):
+        """
+        Save the animation as a movie file by drawing every frame.
+
+        Parameters
+        ----------
+        filename : str
+            The output filename, e.g., :file:`mymovie.mp4`.
+
+        writer : `MovieWriter` or str, default: :rc:`animation.writer`
+            A `MovieWriter` instance to use or a key that identifies a
+            class to use, such as 'ffmpeg'.
+
+        fps : int, optional
+            Movie frame rate (per second).  If not set, the frame rate from the
+            animation's frame interval.
+
+        dpi : float, default: :rc:`savefig.dpi`
+            Controls the dots per inch for the movie frames.  Together with
+            the figure's size in inches, this controls the size of the movie.
+
+        codec : str, default: :rc:`animation.codec`.
+            The video codec to use.  Not all codecs are supported by a given
+            `MovieWriter`.
+
+        bitrate : int, default: :rc:`animation.bitrate`
+            The bitrate of the movie, in kilobits per second.  Higher values
+            means higher quality movies, but increase the file size.  A value
+            of -1 lets the underlying movie encoder select the bitrate.
+
+        extra_args : list of str or None, optional
+            Extra command-line arguments passed to the underlying movie encoder. These
+            arguments are passed last to the encoder, just before the output filename.
+            The default, None, means to use :rc:`animation.[name-of-encoder]_args` for
+            the builtin writers.
+
+        metadata : dict[str, str], default: {}
+            Dictionary of keys and values for metadata to include in
+            the output file. Some keys that may be of use include:
+            title, artist, genre, subject, copyright, srcform, comment.
 
-        # FIXME: Using 'bbox_inches' doesn't currently work with
-        # writers that pipe the data to the command because this
-        # requires a fixed frame size (see Ryan May's reply in this
-        # thread: [1]). Thus we drop the 'bbox_inches' argument if it
-        # exists in savefig_kwargs.
-        #
-        # [1] (http://matplotlib.1069221.n5.nabble.com/
-        # Animation-class-let-save-accept-kwargs-which-
-        # are-passed-on-to-savefig-td39627.html)
-        #
-        if 'bbox_inches' in savefig_kwargs:
-            if not (writer in ['ffmpeg_file', 'mencoder_file'] or
-                    isinstance(writer,
-                               (FFMpegFileWriter, MencoderFileWriter))):
-                print("Warning: discarding the 'bbox_inches' argument in "
-                      "'savefig_kwargs' as it is only currently supported "
-                      "with the writers 'ffmpeg_file' and 'mencoder_file' "
-                      "(writer used: "
-                      "'{}').".format(
-                          writer if isinstance(writer, six.string_types)
-                          else writer.__class__.__name__))
-                savefig_kwargs.pop('bbox_inches')
-
-        # Need to disconnect the first draw callback, since we'll be doing
-        # draws. Otherwise, we'll end up starting the animation.
-        if self._first_draw_id is not None:
-            self._fig.canvas.mpl_disconnect(self._first_draw_id)
-            reconnect_first_draw = True
-        else:
-            reconnect_first_draw = False
+        extra_anim : list, default: []
+            Additional `Animation` objects that should be included
+            in the saved movie file. These need to be from the same
+            `.Figure` instance. Also, animation frames will
+            just be simply combined, so there should be a 1:1 correspondence
+            between the frames from the different animations.
 
-        if fps is None and hasattr(self, '_interval'):
-            # Convert interval in ms to frames per second
-            fps = 1000. / self._interval
+        savefig_kwargs : dict, default: {}
+            Keyword arguments passed to each `~.Figure.savefig` call used to
+            save the individual frames.
 
-        # If the writer is None, use the rc param to find the name of the one
-        # to use
-        if writer is None:
-            writer = rcParams['animation.writer']
+        progress_callback : function, optional
+            A callback function that will be called for every frame to notify
+            the saving progress. It must have the signature ::
 
-        # Re-use the savefig DPI for ours if none is given
-        if dpi is None:
-            dpi = rcParams['savefig.dpi']
+                def func(current_frame: int, total_frames: int) -> Any
 
-        if codec is None:
-            codec = rcParams['animation.codec']
+            where *current_frame* is the current frame number and *total_frames* is the
+            total number of frames to be saved. *total_frames* is set to None, if the
+            total number of frames cannot be determined. Return values may exist but are
+            ignored.
 
-        if bitrate is None:
-            bitrate = rcParams['animation.bitrate']
+            Example code to write the progress to stdout::
+
+                progress_callback = lambda i, n: print(f'Saving frame {i}/{n}')
+
+        Notes
+        -----
+        *fps*, *codec*, *bitrate*, *extra_args* and *metadata* are used to
+        construct a `.MovieWriter` instance and can only be passed if
+        *writer* is a string.  If they are passed as non-*None* and *writer*
+        is a `.MovieWriter`, a `RuntimeError` will be raised.
+        """
 
         all_anim = [self]
         if extra_anim is not None:
-            all_anim.extend(anim
-                            for anim
-                            in extra_anim if anim._fig is self._fig)
+            all_anim.extend(anim for anim in extra_anim
+                            if anim._fig is self._fig)
+
+        # Disable "Animation was deleted without rendering" warning.
+        for anim in all_anim:
+            anim._draw_was_started = True
+
+        if writer is None:
+            writer = mpl.rcParams['animation.writer']
+        elif (not isinstance(writer, str) and
+              any(arg is not None
+                  for arg in (fps, codec, bitrate, extra_args, metadata))):
+            raise RuntimeError('Passing in values for arguments '
+                               'fps, codec, bitrate, extra_args, or metadata '
+                               'is not supported when writer is an existing '
+                               'MovieWriter instance. These should instead be '
+                               'passed as arguments when creating the '
+                               'MovieWriter instance.')
+
+        if savefig_kwargs is None:
+            savefig_kwargs = {}
+        else:
+            # we are going to mutate this below
+            savefig_kwargs = dict(savefig_kwargs)
+
+        if fps is None and hasattr(self, '_interval'):
+            # Convert interval in ms to frames per second
+            fps = 1000. / self._interval
+
+        # Reuse the savefig DPI for ours if none is given.
+        dpi = mpl._val_or_rc(dpi, 'savefig.dpi')
+        if dpi == 'figure':
+            dpi = self._fig.dpi
+
+        writer_kwargs = {}
+        if codec is not None:
+            writer_kwargs['codec'] = codec
+        if bitrate is not None:
+            writer_kwargs['bitrate'] = bitrate
+        if extra_args is not None:
+            writer_kwargs['extra_args'] = extra_args
+        if metadata is not None:
+            writer_kwargs['metadata'] = metadata
 
         # If we have the name of a writer, instantiate an instance of the
         # registered class.
-        if is_string_like(writer):
-            if writer in writers.avail:
-                writer = writers[writer](fps, codec, bitrate,
-                                         extra_args=extra_args,
-                                         metadata=metadata)
-            else:
-                import warnings
-                warnings.warn("MovieWriter %s unavailable" % writer)
-
-                try:
-                    writer = writers[writers.list()[0]](fps, codec, bitrate,
-                                                        extra_args=extra_args,
-                                                        metadata=metadata)
-                except IndexError:
-                    raise ValueError("Cannot save animation: no writers are "
-                                     "available. Please install mencoder or "
-                                     "ffmpeg to save animations.")
-
-        verbose.report('Animation.save using %s' % type(writer),
-                       level='helpful')
+        if isinstance(writer, str):
+            try:
+                writer_cls = writers[writer]
+            except RuntimeError:  # Raised if not available.
+                writer_cls = PillowWriter  # Always available.
+                _log.warning("MovieWriter %s unavailable; using Pillow "
+                             "instead.", writer)
+            writer = writer_cls(fps, **writer_kwargs)
+        _log.info('Animation.save using %s', type(writer))
+
+        if 'bbox_inches' in savefig_kwargs:
+            _log.warning("Warning: discarding the 'bbox_inches' argument in "
+                         "'savefig_kwargs' as it may cause frame size "
+                         "to vary, which is inappropriate for animation.")
+            savefig_kwargs.pop('bbox_inches')
+
         # Create a new sequence of frames for saved data. This is different
         # from new_frame_seq() to give the ability to save 'live' generated
         # frame information to be saved later.
         # TODO: Right now, after closing the figure, saving a movie won't work
         # since GUI widgets are gone. Either need to remove extra code to
-        # allow for this non-existant use case or find a way to make it work.
-        with writer.saving(self._fig, filename, dpi):
-            for data in zip(*[a.new_saved_frame_seq()
-                              for a in all_anim]):
+        # allow for this non-existent use case or find a way to make it work.
+
+        def _pre_composite_to_white(color):
+            r, g, b, a = mcolors.to_rgba(color)
+            return a * np.array([r, g, b]) + 1 - a
+
+        # canvas._is_saving = True makes the draw_event animation-starting
+        # callback a no-op; canvas.manager = None prevents resizing the GUI
+        # widget (both are likewise done in savefig()).
+        with (writer.saving(self._fig, filename, dpi),
+              cbook._setattr_cm(self._fig.canvas, _is_saving=True, manager=None)):
+            if not writer._supports_transparency():
+                facecolor = savefig_kwargs.get('facecolor',
+                                               mpl.rcParams['savefig.facecolor'])
+                if facecolor == 'auto':
+                    facecolor = self._fig.get_facecolor()
+                savefig_kwargs['facecolor'] = _pre_composite_to_white(facecolor)
+                savefig_kwargs['transparent'] = False   # just to be safe!
+
+            for anim in all_anim:
+                anim._init_draw()  # Clear the initial frame
+            frame_number = 0
+            # TODO: Currently only FuncAnimation has a save_count
+            #       attribute. Can we generalize this to all Animations?
+            save_count_list = [getattr(a, '_save_count', None)
+                               for a in all_anim]
+            if None in save_count_list:
+                total_frames = None
+            else:
+                total_frames = sum(save_count_list)
+            for data in zip(*[a.new_saved_frame_seq() for a in all_anim]):
                 for anim, d in zip(all_anim, data):
-                    #TODO: Need to see if turning off blit is really necessary
+                    # TODO: See if turning off blit is really necessary
                     anim._draw_next_frame(d, blit=False)
+                    if progress_callback is not None:
+                        progress_callback(frame_number, total_frames)
+                        frame_number += 1
                 writer.grab_frame(**savefig_kwargs)
 
-        # Reconnect signal for first draw if necessary
-        if reconnect_first_draw:
-            self._first_draw_id = self._fig.canvas.mpl_connect('draw_event',
-                                                               self._start)
-
     def _step(self, *args):
-        '''
+        """
         Handler for getting events. By default, gets the next frame in the
         sequence and hands the data off to be drawn.
-        '''
+        """
         # Returns True to indicate that the event source should continue to
         # call _step, until the frame sequence reaches the end of iteration,
         # at which point False will be returned.
@@ -773,12 +1138,12 @@ def _step(self, *args):
             return False
 
     def new_frame_seq(self):
-        'Creates a new sequence of frame information.'
+        """Return a new sequence of frame information."""
         # Default implementation is just an iterator over self._framedata
         return iter(self._framedata)
 
     def new_saved_frame_seq(self):
-        'Creates a new sequence of saved/cached frame information.'
+        """Return a new sequence of saved/cached frame information."""
         # Default is the same as the regular frame sequence
         return self.new_frame_seq()
 
@@ -792,13 +1157,13 @@ def _draw_next_frame(self, framedata, blit):
     def _init_draw(self):
         # Initial draw to clear the frame. Also used by the blitting code
         # when a clean base is required.
-        pass
+        self._draw_was_started = True
 
     def _pre_draw(self, framedata, blit):
         # Perform any cleaning or whatnot before the drawing of the frame.
         # This default implementation allows blit to clear the frame.
         if blit:
-            self._blit_clear(self._drawn_artists, self._blit_cache)
+            self._blit_clear(self._drawn_artists)
 
     def _draw_frame(self, framedata):
         # Performs actual drawing of the frame.
@@ -810,46 +1175,64 @@ def _post_draw(self, framedata, blit):
         # the draw, which can be a direct draw_idle() or make use of the
         # blitting.
         if blit and self._drawn_artists:
-            self._blit_draw(self._drawn_artists, self._blit_cache)
+            self._blit_draw(self._drawn_artists)
         else:
             self._fig.canvas.draw_idle()
 
     # The rest of the code in this class is to facilitate easy blitting
-    def _blit_draw(self, artists, bg_cache):
+    def _blit_draw(self, artists):
         # Handles blitted drawing, which renders only the artists given instead
         # of the entire figure.
-        updated_ax = []
+        updated_ax = {a.axes for a in artists}
+        # Enumerate artists to cache Axes backgrounds. We do not draw
+        # artists yet to not cache foreground from plots with shared Axes
+        for ax in updated_ax:
+            # If we haven't cached the background for the current view of this
+            # Axes object, do so now. This might not always be reliable, but
+            # it's an attempt to automate the process.
+            cur_view = ax._get_view()
+            view, bg = self._blit_cache.get(ax, (object(), None))
+            if cur_view != view:
+                self._blit_cache[ax] = (
+                    cur_view, ax.figure.canvas.copy_from_bbox(ax.bbox))
+        # Make a separate pass to draw foreground.
         for a in artists:
-            # If we haven't cached the background for this axes object, do
-            # so now. This might not always be reliable, but it's an attempt
-            # to automate the process.
-            if a.axes not in bg_cache:
-                bg_cache[a.axes] = a.figure.canvas.copy_from_bbox(a.axes.bbox)
             a.axes.draw_artist(a)
-            updated_ax.append(a.axes)
-
-        # After rendering all the needed artists, blit each axes individually.
-        for ax in set(updated_ax):
+        # After rendering all the needed artists, blit each Axes individually.
+        for ax in updated_ax:
             ax.figure.canvas.blit(ax.bbox)
 
-    def _blit_clear(self, artists, bg_cache):
-        # Get a list of the axes that need clearing from the artists that
+    def _blit_clear(self, artists):
+        # Get a list of the Axes that need clearing from the artists that
         # have been drawn. Grab the appropriate saved background from the
         # cache and restore.
-        axes = set(a.axes for a in artists)
-        for a in axes:
-            a.figure.canvas.restore_region(bg_cache[a])
+        axes = {a.axes for a in artists}
+        for ax in axes:
+            try:
+                view, bg = self._blit_cache[ax]
+            except KeyError:
+                continue
+            if ax._get_view() == view:
+                ax.figure.canvas.restore_region(bg)
+            else:
+                self._blit_cache.pop(ax)
 
     def _setup_blit(self):
-        # Setting up the blit requires: a cache of the background for the
-        # axes
+        # Setting up the blit requires: a cache of the background for the Axes
         self._blit_cache = dict()
         self._drawn_artists = []
-        self._resize_id = self._fig.canvas.mpl_connect('resize_event',
-                                                       self._handle_resize)
+        # _post_draw needs to be called first to initialize the renderer
         self._post_draw(None, self._blit)
+        # Then we need to clear the Frame for the initial draw
+        # This is typically handled in _on_resize because QT and Tk
+        # emit a resize event on launch, but the macosx backend does not,
+        # thus we force it here for everyone for consistency
+        self._init_draw()
+        # Connect to future resize events
+        self._resize_id = self._fig.canvas.mpl_connect('resize_event',
+                                                       self._on_resize)
 
-    def _handle_resize(self, *args):
+    def _on_resize(self, event):
         # On resize, we need to disable the resize event handling so we don't
         # get too many events. Also stop the animation events, so that
         # we're paused. Reset the cache and re-init. Set up an event handler
@@ -861,90 +1244,261 @@ def _handle_resize(self, *args):
         self._resize_id = self._fig.canvas.mpl_connect('draw_event',
                                                        self._end_redraw)
 
-    def _end_redraw(self, evt):
+    def _end_redraw(self, event):
         # Now that the redraw has happened, do the post draw flushing and
         # blit handling. Then re-enable all of the original events.
-        self._post_draw(None, self._blit)
+        self._post_draw(None, False)
         self.event_source.start()
         self._fig.canvas.mpl_disconnect(self._resize_id)
         self._resize_id = self._fig.canvas.mpl_connect('resize_event',
-                                                       self._handle_resize)
-
+                                                       self._on_resize)
+
+    def to_html5_video(self, embed_limit=None):
+        """
+        Convert the animation to an HTML5 ``<video>`` tag.
+
+        This saves the animation as an h264 video, encoded in base64
+        directly into the HTML5 video tag. This respects :rc:`animation.writer`
+        and :rc:`animation.bitrate`. This also makes use of the
+        *interval* to control the speed, and uses the *repeat*
+        parameter to decide whether to loop.
+
+        Parameters
+        ----------
+        embed_limit : float, optional
+            Limit, in MB, of the returned animation. No animation is created
+            if the limit is exceeded.
+            Defaults to :rc:`animation.embed_limit` = 20.0.
+
+        Returns
+        -------
+        str
+            An HTML5 video tag with the animation embedded as base64 encoded
+            h264 video.
+            If the *embed_limit* is exceeded, this returns the string
+            "Video too large to embed."
+        """
+        VIDEO_TAG = r'''<video {size} {options}>
+  <source type="video/mp4" src="data:video/mp4;base64,{video}">
+  Your browser does not support the video tag.
+</video>'''
+        # Cache the rendering of the video as HTML
+        if not hasattr(self, '_base64_video'):
+            # Save embed limit, which is given in MB
+            embed_limit = mpl._val_or_rc(embed_limit, 'animation.embed_limit')
+
+            # Convert from MB to bytes
+            embed_limit *= 1024 * 1024
+
+            # Can't open a NamedTemporaryFile twice on Windows, so use a
+            # TemporaryDirectory instead.
+            with TemporaryDirectory() as tmpdir:
+                path = Path(tmpdir, "temp.m4v")
+                # We create a writer manually so that we can get the
+                # appropriate size for the tag
+                Writer = writers[mpl.rcParams['animation.writer']]
+                writer = Writer(codec='h264',
+                                bitrate=mpl.rcParams['animation.bitrate'],
+                                fps=1000. / self._interval)
+                self.save(str(path), writer=writer)
+                # Now open and base64 encode.
+                vid64 = base64.encodebytes(path.read_bytes())
+
+            vid_len = len(vid64)
+            if vid_len >= embed_limit:
+                _log.warning(
+                    "Animation movie is %s bytes, exceeding the limit of %s. "
+                    "If you're sure you want a large animation embedded, set "
+                    "the animation.embed_limit rc parameter to a larger value "
+                    "(in MB).", vid_len, embed_limit)
+            else:
+                self._base64_video = vid64.decode('ascii')
+                self._video_size = 'width="{}" height="{}"'.format(
+                        *writer.frame_size)
+
+        # If we exceeded the size, this attribute won't exist
+        if hasattr(self, '_base64_video'):
+            # Default HTML5 options are to autoplay and display video controls
+            options = ['controls', 'autoplay']
+
+            # If we're set to repeat, make it loop
+            if getattr(self, '_repeat', False):
+                options.append('loop')
+
+            return VIDEO_TAG.format(video=self._base64_video,
+                                    size=self._video_size,
+                                    options=' '.join(options))
+        else:
+            return 'Video too large to embed.'
+
+    def to_jshtml(self, fps=None, embed_frames=True, default_mode=None):
+        """
+        Generate HTML representation of the animation.
+
+        Parameters
+        ----------
+        fps : int, optional
+            Movie frame rate (per second). If not set, the frame rate from
+            the animation's frame interval.
+        embed_frames : bool, optional
+        default_mode : str, optional
+            What to do when the animation ends. Must be one of ``{'loop',
+            'once', 'reflect'}``. Defaults to ``'loop'`` if the *repeat*
+            parameter is True, otherwise ``'once'``.
+
+        Returns
+        -------
+        str
+            An HTML representation of the animation embedded as a js object as
+            produced with the `.HTMLWriter`.
+        """
+        if fps is None and hasattr(self, '_interval'):
+            # Convert interval in ms to frames per second
+            fps = 1000 / self._interval
+
+        # If we're not given a default mode, choose one base on the value of
+        # the _repeat attribute
+        if default_mode is None:
+            default_mode = 'loop' if getattr(self, '_repeat',
+                                             False) else 'once'
+
+        if not hasattr(self, "_html_representation"):
+            # Can't open a NamedTemporaryFile twice on Windows, so use a
+            # TemporaryDirectory instead.
+            with TemporaryDirectory() as tmpdir:
+                path = Path(tmpdir, "temp.html")
+                writer = HTMLWriter(fps=fps,
+                                    embed_frames=embed_frames,
+                                    default_mode=default_mode)
+                self.save(str(path), writer=writer)
+                self._html_representation = path.read_text()
+
+        return self._html_representation
+
+    def _repr_html_(self):
+        """IPython display hook for rendering."""
+        fmt = mpl.rcParams['animation.html']
+        if fmt == 'html5':
+            return self.to_html5_video()
+        elif fmt == 'jshtml':
+            return self.to_jshtml()
+
+    def pause(self):
+        """Pause the animation."""
+        self.event_source.stop()
+        if self._blit:
+            for artist in self._drawn_artists:
+                artist.set_animated(False)
 
-class TimedAnimation(Animation):
-    '''
-    :class:`Animation` subclass that supports time-based animation, drawing
-    a new frame every *interval* milliseconds.
+    def resume(self):
+        """Resume the animation."""
+        self.event_source.start()
+        if self._blit:
+            for artist in self._drawn_artists:
+                artist.set_animated(True)
 
-    *repeat* controls whether the animation should repeat when the sequence
-    of frames is completed.
 
-    *repeat_delay* optionally adds a delay in milliseconds before repeating
-    the animation.
-    '''
-    def __init__(self, fig, interval=200, repeat_delay=None, repeat=True,
+class TimedAnimation(Animation):
+    """
+    `Animation` subclass for time-based animation.
+
+    A new frame is drawn every *interval* milliseconds.
+
+    .. note::
+
+        You must store the created Animation in a variable that lives as long
+        as the animation should run. Otherwise, the Animation object will be
+        garbage-collected and the animation stops.
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        The figure object used to get needed events, such as draw or resize.
+    interval : int, default: 200
+        Delay between frames in milliseconds.
+    repeat_delay : int, default: 0
+        The delay in milliseconds between consecutive animation runs, if
+        *repeat* is True.
+    repeat : bool, default: True
+        Whether the animation repeats when the sequence of frames is completed.
+    blit : bool, default: False
+        Whether blitting is used to optimize drawing.
+    """
+    def __init__(self, fig, interval=200, repeat_delay=0, repeat=True,
                  event_source=None, *args, **kwargs):
-        # Store the timing information
         self._interval = interval
-        self._repeat_delay = repeat_delay
-        self.repeat = repeat
-
+        # Undocumented support for repeat_delay = None as backcompat.
+        self._repeat_delay = repeat_delay if repeat_delay is not None else 0
+        self._repeat = repeat
         # If we're not given an event source, create a new timer. This permits
         # sharing timers between animation objects for syncing animations.
         if event_source is None:
-            event_source = fig.canvas.new_timer()
-            event_source.interval = self._interval
-
-        Animation.__init__(self, fig, event_source=event_source,
-                           *args, **kwargs)
+            event_source = fig.canvas.new_timer(interval=self._interval)
+        super().__init__(fig, event_source=event_source, *args, **kwargs)
 
     def _step(self, *args):
-        '''
-        Handler for getting events.
-        '''
+        """Handler for getting events."""
         # Extends the _step() method for the Animation class.  If
         # Animation._step signals that it reached the end and we want to
         # repeat, we refresh the frame sequence and return True. If
         # _repeat_delay is set, change the event_source's interval to our loop
         # delay and set the callback to one which will then set the interval
         # back.
-        still_going = Animation._step(self, *args)
-        if not still_going and self.repeat:
-            self.frame_seq = self.new_frame_seq()
-            if self._repeat_delay:
-                self.event_source.remove_callback(self._step)
-                self.event_source.add_callback(self._loop_delay)
+        still_going = super()._step(*args)
+        if not still_going:
+            if self._repeat:
+                # Restart the draw loop
+                self._init_draw()
+                self.frame_seq = self.new_frame_seq()
                 self.event_source.interval = self._repeat_delay
                 return True
             else:
-                return Animation._step(self, *args)
-        else:
-            return still_going
+                # We are done with the animation. Call pause to remove
+                # animated flags from artists that were using blitting
+                self.pause()
+                if self._blit:
+                    # Remove the resize callback if we were blitting
+                    self._fig.canvas.mpl_disconnect(self._resize_id)
+                self._fig.canvas.mpl_disconnect(self._close_id)
+                self.event_source = None
+                return False
 
-    def _stop(self, *args):
-        # If we stop in the middle of a loop delay (which is relatively likely
-        # given the potential pause here, remove the loop_delay callback as
-        # well.
-        self.event_source.remove_callback(self._loop_delay)
-        Animation._stop(self)
-
-    def _loop_delay(self, *args):
-        # Reset the interval and change callbacks after the delay.
-        self.event_source.remove_callback(self._loop_delay)
         self.event_source.interval = self._interval
-        self.event_source.add_callback(self._step)
-        Animation._step(self)
+        return True
 
 
 class ArtistAnimation(TimedAnimation):
-    '''
-    Before calling this function, all plotting should have taken place
+    """
+    `TimedAnimation` subclass that creates an animation by using a fixed
+    set of `.Artist` objects.
+
+    Before creating an instance, all plotting should have taken place
     and the relevant artists saved.
 
-    frame_info is a list, with each list entry a collection of artists that
-    represent what needs to be enabled on each frame. These will be disabled
-    for other frames.
-    '''
+    .. note::
+
+        You must store the created Animation in a variable that lives as long
+        as the animation should run. Otherwise, the Animation object will be
+        garbage-collected and the animation stops.
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        The figure object used to get needed events, such as draw or resize.
+    artists : list
+        Each list entry is a collection of `.Artist` objects that are made
+        visible on the corresponding frame.  Other artists are made invisible.
+    interval : int, default: 200
+        Delay between frames in milliseconds.
+    repeat_delay : int, default: 0
+        The delay in milliseconds between consecutive animation runs, if
+        *repeat* is True.
+    repeat : bool, default: True
+        Whether the animation repeats when the sequence of frames is completed.
+    blit : bool, default: False
+        Whether blitting is used to optimize drawing.
+    """
+
     def __init__(self, fig, artists, *args, **kwargs):
         # Internal list of artists drawn in the most recent frame.
         self._drawn_artists = []
@@ -952,29 +1506,29 @@ def __init__(self, fig, artists, *args, **kwargs):
         # Use the list of artists as the framedata, which will be iterated
         # over by the machinery.
         self._framedata = artists
-        TimedAnimation.__init__(self, fig, *args, **kwargs)
+        super().__init__(fig, *args, **kwargs)
 
     def _init_draw(self):
+        super()._init_draw()
         # Make all the artists involved in *any* frame invisible
-        axes = []
+        figs = set()
         for f in self.new_frame_seq():
             for artist in f:
                 artist.set_visible(False)
-                # Assemble a list of unique axes that need flushing
-                if artist.axes not in axes:
-                    axes.append(artist.axes)
+                artist.set_animated(self._blit)
+                # Assemble a list of unique figures that need flushing
+                if artist.get_figure() not in figs:
+                    figs.add(artist.get_figure())
 
-        # Flush the needed axes
-        for ax in axes:
-            ax.figure.canvas.draw()
+        # Flush the needed figures
+        for fig in figs:
+            fig.canvas.draw_idle()
 
     def _pre_draw(self, framedata, blit):
-        '''
-        Clears artists from the last frame.
-        '''
+        """Clears artists from the last frame."""
         if blit:
             # Let blit handle clearing
-            self._blit_clear(self._drawn_artists, self._blit_cache)
+            self._blit_clear(self._drawn_artists)
         else:
             # Otherwise, make all the artists from the previous frame invisible
             for artist in self._drawn_artists:
@@ -991,39 +1545,121 @@ def _draw_frame(self, artists):
 
 
 class FuncAnimation(TimedAnimation):
-    '''
-    Makes an animation by repeatedly calling a function *func*, passing in
-    (optional) arguments in *fargs*.
-
-    *frames* can be a generator, an iterable, or a number of frames.
-
-    *init_func* is a function used to draw a clear frame. If not given, the
-    results of drawing from the first item in the frames sequence will be
-    used. This function will be called once before the first frame.
-
-    If blit=True, *func* and *init_func* should return an iterable of
-    drawables to clear.
-
-    *kwargs* include *repeat*, *repeat_delay*, and *interval*:
-    *interval* draws a new frame every *interval* milliseconds.
-    *repeat* controls whether the animation should repeat when the sequence
-    of frames is completed.
-    *repeat_delay* optionally adds a delay in milliseconds before repeating
-    the animation.
-    '''
+    """
+    `TimedAnimation` subclass that makes an animation by repeatedly calling
+    a function *func*.
+
+    .. note::
+
+        You must store the created Animation in a variable that lives as long
+        as the animation should run. Otherwise, the Animation object will be
+        garbage-collected and the animation stops.
+
+    Parameters
+    ----------
+    fig : `~matplotlib.figure.Figure`
+        The figure object used to get needed events, such as draw or resize.
+
+    func : callable
+        The function to call at each frame.  The first argument will
+        be the next value in *frames*.   Any additional positional
+        arguments can be supplied using `functools.partial` or via the *fargs*
+        parameter.
+
+        The required signature is::
+
+            def func(frame, *fargs) -> iterable_of_artists
+
+        It is often more convenient to provide the arguments using
+        `functools.partial`. In this way it is also possible to pass keyword
+        arguments. To pass a function with both positional and keyword
+        arguments, set all arguments as keyword arguments, just leaving the
+        *frame* argument unset::
+
+            def func(frame, art, *, y=None):
+                ...
+
+            ani = FuncAnimation(fig, partial(func, art=ln, y='foo'))
+
+        If ``blit == True``, *func* must return an iterable of all artists
+        that were modified or created. This information is used by the blitting
+        algorithm to determine which parts of the figure have to be updated.
+        The return value is unused if ``blit == False`` and may be omitted in
+        that case.
+
+    frames : iterable, int, generator function, or None, optional
+        Source of data to pass *func* and each frame of the animation
+
+        - If an iterable, then simply use the values provided.  If the
+          iterable has a length, it will override the *save_count* kwarg.
+
+        - If an integer, then equivalent to passing ``range(frames)``
+
+        - If a generator function, then must have the signature::
+
+             def gen_function() -> obj
+
+        - If *None*, then equivalent to passing ``itertools.count``.
+
+        In all of these cases, the values in *frames* is simply passed through
+        to the user-supplied *func* and thus can be of any type.
+
+    init_func : callable, optional
+        A function used to draw a clear frame. If not given, the results of
+        drawing from the first item in the frames sequence will be used. This
+        function will be called once before the first frame.
+
+        The required signature is::
+
+            def init_func() -> iterable_of_artists
+
+        If ``blit == True``, *init_func* must return an iterable of artists
+        to be re-drawn. This information is used by the blitting algorithm to
+        determine which parts of the figure have to be updated.  The return
+        value is unused if ``blit == False`` and may be omitted in that case.
+
+    fargs : tuple or None, optional
+        Additional arguments to pass to each call to *func*. Note: the use of
+        `functools.partial` is preferred over *fargs*. See *func* for details.
+
+    save_count : int, optional
+        Fallback for the number of values from *frames* to cache. This is
+        only used if the number of frames cannot be inferred from *frames*,
+        i.e. when it's an iterator without length or a generator.
+
+    interval : int, default: 200
+        Delay between frames in milliseconds.
+
+    repeat_delay : int, default: 0
+        The delay in milliseconds between consecutive animation runs, if
+        *repeat* is True.
+
+    repeat : bool, default: True
+        Whether the animation repeats when the sequence of frames is completed.
+
+    blit : bool, default: False
+        Whether blitting is used to optimize drawing.  Note: when using
+        blitting, any animated artists will be drawn according to their zorder;
+        however, they will be drawn on top of any previous artists, regardless
+        of their zorder.
+
+    cache_frame_data : bool, default: True
+        Whether frame data is cached.  Disabling cache might be helpful when
+        frames contain large objects.
+    """
     def __init__(self, fig, func, frames=None, init_func=None, fargs=None,
-                 save_count=None, **kwargs):
+                 save_count=None, *, cache_frame_data=True, **kwargs):
         if fargs:
             self._args = fargs
         else:
             self._args = ()
         self._func = func
+        self._init_func = init_func
 
         # Amount of framedata to keep around for saving movies. This is only
         # used if we don't know how many frames there will be: in the case
         # of no generator or in the case of a callable.
-        self.save_count = save_count
-
+        self._save_count = save_count
         # Set up a function that creates a new iterable when needed. If nothing
         # is passed in for frames, just use itertools.count, which will just
         # keep counting from 0. A callable passed in for frames is assumed to
@@ -1031,26 +1667,50 @@ def __init__(self, fig, func, frames=None, init_func=None, fargs=None,
         # will be treated as a number of frames.
         if frames is None:
             self._iter_gen = itertools.count
-        elif six.callable(frames):
+        elif callable(frames):
             self._iter_gen = frames
-        elif iterable(frames):
-            self._iter_gen = lambda: iter(frames)
+        elif np.iterable(frames):
+            if kwargs.get('repeat', True):
+                self._tee_from = frames
+                def iter_frames(frames=frames):
+                    this, self._tee_from = itertools.tee(self._tee_from, 2)
+                    yield from this
+                self._iter_gen = iter_frames
+            else:
+                self._iter_gen = lambda: iter(frames)
             if hasattr(frames, '__len__'):
-                self.save_count = len(frames)
+                self._save_count = len(frames)
+                if save_count is not None:
+                    _api.warn_external(
+                        f"You passed in an explicit {save_count=} "
+                        "which is being ignored in favor of "
+                        f"{len(frames)=}."
+                    )
         else:
-            self._iter_gen = lambda: xrange(frames).__iter__()
-            self.save_count = frames
-
-        # If we're passed in and using the default, set it to 100.
-        if self.save_count is None:
-            self.save_count = 100
-
-        self._init_func = init_func
+            self._iter_gen = lambda: iter(range(frames))
+            self._save_count = frames
+            if save_count is not None:
+                _api.warn_external(
+                    f"You passed in an explicit {save_count=} which is being "
+                    f"ignored in favor of {frames=}."
+                )
+        if self._save_count is None and cache_frame_data:
+            _api.warn_external(
+                f"{frames=!r} which we can infer the length of, "
+                "did not pass an explicit *save_count* "
+                f"and passed {cache_frame_data=}.  To avoid a possibly "
+                "unbounded cache, frame data caching has been disabled. "
+                "To suppress this warning either pass "
+                "`cache_frame_data=False` or `save_count=MAX_FRAMES`."
+            )
+            cache_frame_data = False
+
+        self._cache_frame_data = cache_frame_data
 
         # Needs to be initialized so the draw functions work without checking
         self._save_seq = []
 
-        TimedAnimation.__init__(self, fig, **kwargs)
+        super().__init__(fig, **kwargs)
 
         # Need to reset the saved seq, since right now it will contain data
         # for a single frame from init, which is not what we want.
@@ -1065,28 +1725,96 @@ def new_saved_frame_seq(self):
         # no saved frames, generate a new frame sequence and take the first
         # save_count entries in it.
         if self._save_seq:
-            return iter(self._save_seq)
+            # While iterating we are going to update _save_seq
+            # so make a copy to safely iterate over
+            self._old_saved_seq = list(self._save_seq)
+            return iter(self._old_saved_seq)
         else:
-            return itertools.islice(self.new_frame_seq(), self.save_count)
+            if self._save_count is None:
+                frame_seq = self.new_frame_seq()
+
+                def gen():
+                    try:
+                        while True:
+                            yield next(frame_seq)
+                    except StopIteration:
+                        pass
+                return gen()
+            else:
+                return itertools.islice(self.new_frame_seq(), self._save_count)
 
     def _init_draw(self):
+        super()._init_draw()
         # Initialize the drawing either using the given init_func or by
         # calling the draw function with the first item of the frame sequence.
         # For blitting, the init_func should return a sequence of modified
         # artists.
         if self._init_func is None:
-            self._draw_frame(next(self.new_frame_seq()))
+            try:
+                frame_data = next(self.new_frame_seq())
+            except StopIteration:
+                # we can't start the iteration, it may have already been
+                # exhausted by a previous save or just be 0 length.
+                # warn and bail.
+                warnings.warn(
+                    "Can not start iterating the frames for the initial draw. "
+                    "This can be caused by passing in a 0 length sequence "
+                    "for *frames*.\n\n"
+                    "If you passed *frames* as a generator "
+                    "it may be exhausted due to a previous display or save."
+                )
+                return
+            self._draw_frame(frame_data)
         else:
             self._drawn_artists = self._init_func()
+            if self._blit:
+                if self._drawn_artists is None:
+                    raise RuntimeError('When blit=True, the init_func must '
+                                       'return a sequence of Artist objects.')
+                for a in self._drawn_artists:
+                    a.set_animated(self._blit)
+        self._save_seq = []
 
     def _draw_frame(self, framedata):
-        # Save the data for potential saving of movies.
-        self._save_seq.append(framedata)
-
-        # Make sure to respect save_count (keep only the last save_count
-        # around)
-        self._save_seq = self._save_seq[-self.save_count:]
+        if self._cache_frame_data:
+            # Save the data for potential saving of movies.
+            self._save_seq.append(framedata)
+            self._save_seq = self._save_seq[-self._save_count:]
 
         # Call the func with framedata and args. If blitting is desired,
         # func needs to return a sequence of any artists that were modified.
         self._drawn_artists = self._func(framedata, *self._args)
+
+        if self._blit:
+
+            err = RuntimeError('When blit=True, the animation function must '
+                               'return a sequence of Artist objects.')
+            try:
+                # check if a sequence
+                iter(self._drawn_artists)
+            except TypeError:
+                raise err from None
+
+            # check each item if it's artist
+            for i in self._drawn_artists:
+                if not isinstance(i, mpl.artist.Artist):
+                    raise err
+
+            self._drawn_artists = sorted(self._drawn_artists,
+                                         key=lambda x: x.get_zorder())
+
+            for a in self._drawn_artists:
+                a.set_animated(self._blit)
+
+
+def _validate_grabframe_kwargs(savefig_kwargs):
+    if mpl.rcParams['savefig.bbox'] == 'tight':
+        raise ValueError(
+            f"{mpl.rcParams['savefig.bbox']=} must not be 'tight' as it "
+            "may cause frame size to vary, which is inappropriate for animation."
+        )
+    for k in ('dpi', 'bbox_inches', 'format'):
+        if k in savefig_kwargs:
+            raise TypeError(
+                f"grab_frame got an unexpected keyword argument {k!r}"
+            )
diff --git a/lib/matplotlib/animation.pyi b/lib/matplotlib/animation.pyi
new file mode 100644
index 000000000000..f725df8ebb22
--- /dev/null
+++ b/lib/matplotlib/animation.pyi
@@ -0,0 +1,217 @@
+import abc
+from collections.abc import Callable, Collection, Iterable, Sequence, Generator
+import contextlib
+from pathlib import Path
+from matplotlib.artist import Artist
+from matplotlib.backend_bases import TimerBase
+from matplotlib.figure import Figure
+
+from typing import Any
+
+subprocess_creation_flags: int
+
+def adjusted_figsize(w: float, h: float, dpi: float, n: int) -> tuple[float, float]: ...
+
+class MovieWriterRegistry:
+    def __init__(self) -> None: ...
+    def register(
+        self, name: str
+    ) -> Callable[[type[AbstractMovieWriter]], type[AbstractMovieWriter]]: ...
+    def is_available(self, name: str) -> bool: ...
+    def __iter__(self) -> Generator[str, None, None]: ...
+    def list(self) -> list[str]: ...
+    def __getitem__(self, name: str) -> type[AbstractMovieWriter]: ...
+
+writers: MovieWriterRegistry
+
+class AbstractMovieWriter(abc.ABC, metaclass=abc.ABCMeta):
+    fps: int
+    metadata: dict[str, str]
+    codec: str
+    bitrate: int
+    def __init__(
+        self,
+        fps: int = ...,
+        metadata: dict[str, str] | None = ...,
+        codec: str | None = ...,
+        bitrate: int | None = ...,
+    ) -> None: ...
+    outfile: str | Path
+    fig: Figure
+    dpi: float
+
+    @abc.abstractmethod
+    def setup(self, fig: Figure, outfile: str | Path, dpi: float | None = ...) -> None: ...
+    @property
+    def frame_size(self) -> tuple[int, int]: ...
+    @abc.abstractmethod
+    def grab_frame(self, **savefig_kwargs) -> None: ...
+    @abc.abstractmethod
+    def finish(self) -> None: ...
+    @contextlib.contextmanager
+    def saving(
+        self, fig: Figure, outfile: str | Path, dpi: float | None, *args, **kwargs
+    ) -> Generator[AbstractMovieWriter, None, None]: ...
+
+class MovieWriter(AbstractMovieWriter):
+    supported_formats: list[str]
+    frame_format: str
+    extra_args: list[str] | None
+    def __init__(
+        self,
+        fps: int = ...,
+        codec: str | None = ...,
+        bitrate: int | None = ...,
+        extra_args: list[str] | None = ...,
+        metadata: dict[str, str] | None = ...,
+    ) -> None: ...
+    def setup(self, fig: Figure, outfile: str | Path, dpi: float | None = ...) -> None: ...
+    def grab_frame(self, **savefig_kwargs) -> None: ...
+    def finish(self) -> None: ...
+    @classmethod
+    def bin_path(cls) -> str: ...
+    @classmethod
+    def isAvailable(cls) -> bool: ...
+
+class FileMovieWriter(MovieWriter):
+    fig: Figure
+    outfile: str | Path
+    dpi: float
+    temp_prefix: str
+    fname_format_str: str
+    def setup(
+        self,
+        fig: Figure,
+        outfile: str | Path,
+        dpi: float | None = ...,
+        frame_prefix: str | Path | None = ...,
+    ) -> None: ...
+    def __del__(self) -> None: ...
+    @property
+    def frame_format(self) -> str: ...
+    @frame_format.setter
+    def frame_format(self, frame_format: str) -> None: ...
+
+class PillowWriter(AbstractMovieWriter):
+    @classmethod
+    def isAvailable(cls) -> bool: ...
+    def setup(
+        self, fig: Figure, outfile: str | Path, dpi: float | None = ...
+    ) -> None: ...
+    def grab_frame(self, **savefig_kwargs) -> None: ...
+    def finish(self) -> None: ...
+
+class FFMpegBase:
+    codec: str
+    @property
+    def output_args(self) -> list[str]: ...
+
+class FFMpegWriter(FFMpegBase, MovieWriter): ...
+
+class FFMpegFileWriter(FFMpegBase, FileMovieWriter):
+    supported_formats: list[str]
+
+class ImageMagickBase:
+    @classmethod
+    def bin_path(cls) -> str: ...
+    @classmethod
+    def isAvailable(cls) -> bool: ...
+
+class ImageMagickWriter(ImageMagickBase, MovieWriter):
+    input_names: str
+
+class ImageMagickFileWriter(ImageMagickBase, FileMovieWriter):
+    supported_formats: list[str]
+    @property
+    def input_names(self) -> str: ...
+
+class HTMLWriter(FileMovieWriter):
+    supported_formats: list[str]
+    @classmethod
+    def isAvailable(cls) -> bool: ...
+    embed_frames: bool
+    default_mode: str
+    def __init__(
+        self,
+        fps: int = ...,
+        codec: str | None = ...,
+        bitrate: int | None = ...,
+        extra_args: list[str] | None = ...,
+        metadata: dict[str, str] | None = ...,
+        embed_frames: bool = ...,
+        default_mode: str = ...,
+        embed_limit: float | None = ...,
+    ) -> None: ...
+    def setup(
+        self,
+        fig: Figure,
+        outfile: str | Path,
+        dpi: float | None = ...,
+        frame_dir: str | Path | None = ...,
+    ) -> None: ...
+    def grab_frame(self, **savefig_kwargs): ...
+    def finish(self) -> None: ...
+
+class Animation:
+    frame_seq: Iterable[Artist]
+    event_source: Any
+    def __init__(
+        self, fig: Figure, event_source: Any | None = ..., blit: bool = ...
+    ) -> None: ...
+    def __del__(self) -> None: ...
+    def save(
+        self,
+        filename: str | Path,
+        writer: AbstractMovieWriter | str | None = ...,
+        fps: int | None = ...,
+        dpi: float | None = ...,
+        codec: str | None = ...,
+        bitrate: int | None = ...,
+        extra_args: list[str] | None = ...,
+        metadata: dict[str, str] | None = ...,
+        extra_anim: list[Animation] | None = ...,
+        savefig_kwargs: dict[str, Any] | None = ...,
+        *,
+        progress_callback: Callable[[int, int], Any] | None = ...
+    ) -> None: ...
+    def new_frame_seq(self) -> Iterable[Artist]: ...
+    def new_saved_frame_seq(self) -> Iterable[Artist]: ...
+    def to_html5_video(self, embed_limit: float | None = ...) -> str: ...
+    def to_jshtml(
+        self,
+        fps: int | None = ...,
+        embed_frames: bool = ...,
+        default_mode: str | None = ...,
+    ) -> str: ...
+    def _repr_html_(self) -> str: ...
+    def pause(self) -> None: ...
+    def resume(self) -> None: ...
+
+class TimedAnimation(Animation):
+    def __init__(
+        self,
+        fig: Figure,
+        interval: int = ...,
+        repeat_delay: int = ...,
+        repeat: bool = ...,
+        event_source: TimerBase | None = ...,
+        *args,
+        **kwargs
+    ) -> None: ...
+
+class ArtistAnimation(TimedAnimation):
+    def __init__(self, fig: Figure, artists: Sequence[Collection[Artist]], *args, **kwargs) -> None: ...
+
+class FuncAnimation(TimedAnimation):
+    def __init__(
+        self,
+        fig: Figure,
+        func: Callable[..., Iterable[Artist] | None],
+        frames: Iterable | int | Callable[[], Generator] | None = ...,
+        init_func: Callable[[], Iterable[Artist] | None] | None = ...,
+        fargs: tuple[Any, ...] | None = ...,
+        save_count: int | None = ...,
+        *,
+        cache_frame_data: bool = ...,
+        **kwargs
+    ) -> None: ...
diff --git a/lib/matplotlib/artist.py b/lib/matplotlib/artist.py
index af9155c40dd6..fd35b312835a 100644
--- a/lib/matplotlib/artist.py
+++ b/lib/matplotlib/artist.py
@@ -1,83 +1,180 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+from collections import namedtuple
+import contextlib
+from functools import cache, reduce, wraps
+import inspect
+from inspect import Signature, Parameter
+import logging
+from numbers import Number, Real
+import operator
 import re
 import warnings
-import inspect
-import matplotlib
-import matplotlib.cbook as cbook
-from matplotlib import docstring, rcParams
-from .transforms import (Bbox, IdentityTransform, TransformedBbox,
-                         TransformedPath, Transform)
+
+import numpy as np
+
+import matplotlib as mpl
+from . import _api, cbook
 from .path import Path
+from .transforms import (BboxBase, Bbox, IdentityTransform, Transform, TransformedBbox,
+                         TransformedPatchPath, TransformedPath)
+
+_log = logging.getLogger(__name__)
 
-# Note, matplotlib artists use the doc strings for set and get
-# methods to enable the introspection methods of setp and getp.  Every
-# set_* method should have a docstring containing the line
-#
-# ACCEPTS: [ legal | values ]
-#
-# and aliases for setters and getters should have a docstring that
-# starts with 'alias for ', as in 'alias for set_somemethod'
-#
-# You may wonder why we use so much boiler-plate manually defining the
-# set_alias and get_alias functions, rather than using some clever
-# python trick.  The answer is that I need to be able to manipulate
-# the docstring, and there is no clever way to do that in python 2.2,
-# as far as I can see - see
-# http://groups.google.com/groups?hl=en&lr=&threadm=mailman.5090.1098044946.5135.python-list%40python.org&rnum=1&prev=/groups%3Fq%3D__doc__%2Bauthor%253Ajdhunter%2540ace.bsd.uchicago.edu%26hl%3Den%26btnG%3DGoogle%2BSearch
+
+def _prevent_rasterization(draw):
+    # We assume that by default artists are not allowed to rasterize (unless
+    # its draw method is explicitly decorated). If it is being drawn after a
+    # rasterized artist and it has reached a raster_depth of 0, we stop
+    # rasterization so that it does not affect the behavior of normal artist
+    # (e.g., change in dpi).
+
+    @wraps(draw)
+    def draw_wrapper(artist, renderer, *args, **kwargs):
+        if renderer._raster_depth == 0 and renderer._rasterizing:
+            # Only stop when we are not in a rasterized parent
+            # and something has been rasterized since last stop.
+            renderer.stop_rasterizing()
+            renderer._rasterizing = False
+
+        return draw(artist, renderer, *args, **kwargs)
+
+    draw_wrapper._supports_rasterization = False
+    return draw_wrapper
 
 
 def allow_rasterization(draw):
     """
     Decorator for Artist.draw method. Provides routines
     that run before and after the draw call. The before and after functions
-    are useful for changing artist-dependant renderer attributes or making
+    are useful for changing artist-dependent renderer attributes or making
     other setup function calls, such as starting and flushing a mixed-mode
     renderer.
     """
-    def before(artist, renderer):
-        if artist.get_rasterized():
-            renderer.start_rasterizing()
-
-        if artist.get_agg_filter() is not None:
-            renderer.start_filter()
 
-    def after(artist, renderer):
+    @wraps(draw)
+    def draw_wrapper(artist, renderer):
+        try:
+            if artist.get_rasterized():
+                if renderer._raster_depth == 0 and not renderer._rasterizing:
+                    renderer.start_rasterizing()
+                    renderer._rasterizing = True
+                renderer._raster_depth += 1
+            else:
+                if renderer._raster_depth == 0 and renderer._rasterizing:
+                    # Only stop when we are not in a rasterized parent
+                    # and something has be rasterized since last stop
+                    renderer.stop_rasterizing()
+                    renderer._rasterizing = False
+
+            if artist.get_agg_filter() is not None:
+                renderer.start_filter()
+
+            return draw(artist, renderer)
+        finally:
+            if artist.get_agg_filter() is not None:
+                renderer.stop_filter(artist.get_agg_filter())
+            if artist.get_rasterized():
+                renderer._raster_depth -= 1
+            if (renderer._rasterizing and (fig := artist.get_figure(root=True)) and
+                    fig.suppressComposite):
+                # restart rasterizing to prevent merging
+                renderer.stop_rasterizing()
+                renderer.start_rasterizing()
 
-        if artist.get_agg_filter() is not None:
-            renderer.stop_filter(artist.get_agg_filter())
+    draw_wrapper._supports_rasterization = True
+    return draw_wrapper
 
-        if artist.get_rasterized():
-            renderer.stop_rasterizing()
 
-    # the axes class has a second argument inframe for its draw method.
+def _finalize_rasterization(draw):
+    """
+    Decorator for Artist.draw method. Needed on the outermost artist, i.e.
+    Figure, to finish up if the render is still in rasterized mode.
+    """
+    @wraps(draw)
     def draw_wrapper(artist, renderer, *args, **kwargs):
-        before(artist, renderer)
-        draw(artist, renderer, *args, **kwargs)
-        after(artist, renderer)
-
-    # "safe wrapping" to exactly replicate anything we haven't overridden above
-    draw_wrapper.__name__ = draw.__name__
-    draw_wrapper.__dict__ = draw.__dict__
-    draw_wrapper.__doc__ = draw.__doc__
-    draw_wrapper._supports_rasterization = True
+        result = draw(artist, renderer, *args, **kwargs)
+        if renderer._rasterizing:
+            renderer.stop_rasterizing()
+            renderer._rasterizing = False
+        return result
     return draw_wrapper
 
 
-class Artist(object):
+def _stale_axes_callback(self, val):
+    if self.axes:
+        self.axes.stale = val
+
+
+_XYPair = namedtuple("_XYPair", "x y")
+
+
+class Artist:
     """
-    Abstract base class for someone who renders into a
-    :class:`FigureCanvas`.
+    Abstract base class for objects that render into a FigureCanvas.
+
+    Typically, all visible elements in a figure are subclasses of Artist.
     """
 
-    aname = 'Artist'
     zorder = 0
 
+    def __init_subclass__(cls):
+
+        # Decorate draw() method so that all artists are able to stop
+        # rastrization when necessary. If the artist's draw method is already
+        # decorated (has a `_supports_rasterization` attribute), it won't be
+        # decorated.
+
+        if not hasattr(cls.draw, "_supports_rasterization"):
+            cls.draw = _prevent_rasterization(cls.draw)
+
+        # Inject custom set() methods into the subclass with signature and
+        # docstring based on the subclasses' properties.
+
+        if not hasattr(cls.set, '_autogenerated_signature'):
+            # Don't overwrite cls.set if the subclass or one of its parents
+            # has defined a set method set itself.
+            # If there was no explicit definition, cls.set is inherited from
+            # the hierarchy of auto-generated set methods, which hold the
+            # flag _autogenerated_signature.
+            return
+
+        cls.set = lambda self, **kwargs: Artist.set(self, **kwargs)
+        cls.set.__name__ = "set"
+        cls.set.__qualname__ = f"{cls.__qualname__}.set"
+        cls._update_set_signature_and_docstring()
+
+    _PROPERTIES_EXCLUDED_FROM_SET = [
+        'navigate_mode',  # not a user-facing function
+        'figure',         # changing the figure is such a profound operation
+                          # that we don't want this in set()
+        '3d_properties',  # cannot be used as a keyword due to leading digit
+    ]
+
+    @classmethod
+    def _update_set_signature_and_docstring(cls):
+        """
+        Update the signature of the set function to list all properties
+        as keyword arguments.
+
+        Property aliases are not listed in the signature for brevity, but
+        are still accepted as keyword arguments.
+        """
+        cls.set.__signature__ = Signature(
+            [Parameter("self", Parameter.POSITIONAL_OR_KEYWORD),
+             *[Parameter(prop, Parameter.KEYWORD_ONLY, default=_api.UNSET)
+               for prop in ArtistInspector(cls).get_setters()
+               if prop not in Artist._PROPERTIES_EXCLUDED_FROM_SET]])
+        cls.set._autogenerated_signature = True
+
+        cls.set.__doc__ = (
+            "Set multiple properties at once.\n\n"
+            "Supported properties are\n\n"
+            + kwdoc(cls))
+
     def __init__(self):
-        self.figure = None
+        self._stale = True
+        self.stale_callback = None
+        self._axes = None
+        self._parent_figure = None
 
         self._transform = None
         self._transformSet = False
@@ -87,16 +184,14 @@ def __init__(self):
         self.clipbox = None
         self._clippath = None
         self._clipon = True
-        self._lod = False
         self._label = ''
         self._picker = None
-        self._contains = None
-        self._rasterized = None
+        self._rasterized = False
         self._agg_filter = None
-
-        self.eventson = False  # fire events only if eventson
-        self._oid = 0  # an observer id
-        self._propobservers = {}  # a dict from oids to funcs
+        # Normally, artist classes need to be queried for mouseover info if and
+        # only if they override get_cursor_data.
+        self._mouseover = type(self).get_cursor_data != Artist.get_cursor_data
+        self._callbacks = cbook.CallbackRegistry(signals=["pchanged"])
         try:
             self.axes = None
         except AttributeError:
@@ -106,37 +201,51 @@ def __init__(self):
         self._url = None
         self._gid = None
         self._snap = None
-        self._sketch = rcParams['path.sketch']
-        self._path_effects = rcParams['path.effects']
+        self._sketch = mpl.rcParams['path.sketch']
+        self._path_effects = mpl.rcParams['path.effects']
+        self._sticky_edges = _XYPair([], [])
+        self._in_layout = True
 
     def __getstate__(self):
         d = self.__dict__.copy()
-        # remove the unpicklable remove method, this will get re-added on load
-        # (by the axes) if the artist lives on an axes.
-        d['_remove_method'] = None
+        d['stale_callback'] = None
         return d
 
     def remove(self):
         """
-        Remove the artist from the figure if possible.  The effect
-        will not be visible until the figure is redrawn, e.g., with
-        :meth:`matplotlib.axes.Axes.draw_idle`.  Call
-        :meth:`matplotlib.axes.Axes.relim` to update the axes limits
-        if desired.
+        Remove the artist from the figure if possible.
 
-        Note: :meth:`~matplotlib.axes.Axes.relim` will not see
-        collections even if the collection was added to axes with
-        *autolim* = True.
+        The effect will not be visible until the figure is redrawn, e.g.,
+        with `.FigureCanvasBase.draw_idle`.  Call `~.axes.Axes.relim` to
+        update the Axes limits if desired.
+
+        Note: `~.axes.Axes.relim` will not see collections even if the
+        collection was added to the Axes with *autolim* = True.
 
         Note: there is no support for removing the artist's legend entry.
         """
 
-        # There is no method to set the callback.  Instead the parent should
+        # There is no method to set the callback.  Instead, the parent should
         # set the _remove_method attribute directly.  This would be a
         # protected attribute if Python supported that sort of thing.  The
         # callback has one parameter, which is the child to be removed.
         if self._remove_method is not None:
             self._remove_method(self)
+            # clear stale callback
+            self.stale_callback = None
+            _ax_flag = False
+            if hasattr(self, 'axes') and self.axes:
+                # remove from the mouse hit list
+                self.axes._mouseover_set.discard(self)
+                self.axes.stale = True
+                self.axes = None  # decouple the artist from the Axes
+                _ax_flag = True
+
+            if (fig := self.get_figure(root=False)) is not None:
+                if not _ax_flag:
+                    fig.stale = True
+                self._parent_figure = None
+
         else:
             raise NotImplementedError('cannot remove artist')
         # TODO: the fix for the collections relim problem is to move the
@@ -146,15 +255,16 @@ def remove(self):
         # TODO: add legend support
 
     def have_units(self):
-        'Return *True* if units are set on the *x* or *y* axes'
+        """Return whether units are set on any axis."""
         ax = self.axes
-        if ax is None or ax.xaxis is None:
-            return False
-        return ax.xaxis.have_units() or ax.yaxis.have_units()
+        return ax and any(axis.have_units() for axis in ax._axis_map.values())
 
     def convert_xunits(self, x):
-        """For artists in an axes, if the xaxis has units support,
-        convert *x* using xaxis unit type
+        """
+        Convert *x* using the unit type of the xaxis.
+
+        If the artist is not contained in an Axes or if the xaxis does not
+        have units, *x* itself is returned.
         """
         ax = getattr(self, 'axes', None)
         if ax is None or ax.xaxis is None:
@@ -162,106 +272,184 @@ def convert_xunits(self, x):
         return ax.xaxis.convert_units(x)
 
     def convert_yunits(self, y):
-        """For artists in an axes, if the yaxis has units support,
-        convert *y* using yaxis unit type
+        """
+        Convert *y* using the unit type of the yaxis.
+
+        If the artist is not contained in an Axes or if the yaxis does not
+        have units, *y* itself is returned.
         """
         ax = getattr(self, 'axes', None)
         if ax is None or ax.yaxis is None:
             return y
         return ax.yaxis.convert_units(y)
 
-    def set_axes(self, axes):
-        """
-        Set the :class:`~matplotlib.axes.Axes` instance in which the
-        artist resides, if any.
+    @property
+    def axes(self):
+        """The `~.axes.Axes` instance the artist resides in, or *None*."""
+        return self._axes
+
+    @axes.setter
+    def axes(self, new_axes):
+        if (new_axes is not None and self._axes is not None
+                and new_axes != self._axes):
+            raise ValueError("Can not reset the Axes. You are probably trying to reuse "
+                             "an artist in more than one Axes which is not supported")
+        self._axes = new_axes
+        if new_axes is not None and new_axes is not self:
+            self.stale_callback = _stale_axes_callback
+
+    @property
+    def stale(self):
+        """
+        Whether the artist is 'stale' and needs to be re-drawn for the output
+        to match the internal state of the artist.
+        """
+        return self._stale
+
+    @stale.setter
+    def stale(self, val):
+        self._stale = val
+
+        # if the artist is animated it does not take normal part in the
+        # draw stack and is not expected to be drawn as part of the normal
+        # draw loop (when not saving) so do not propagate this change
+        if self._animated:
+            return
 
-        ACCEPTS: an :class:`~matplotlib.axes.Axes` instance
-        """
-        self.axes = axes
+        if val and self.stale_callback is not None:
+            self.stale_callback(self, val)
 
-    def get_axes(self):
-        """
-        Return the :class:`~matplotlib.axes.Axes` instance the artist
-        resides in, or *None*
+    def get_window_extent(self, renderer=None):
         """
-        return self.axes
+        Get the artist's bounding box in display space.
+
+        The bounding box's width and height are non-negative.
 
-    def get_window_extent(self, renderer):
-        """
-        Get the axes bounding box in display space.
         Subclasses should override for inclusion in the bounding box
         "tight" calculation. Default is to return an empty bounding
         box at 0, 0.
 
-        Be careful when using this function, the results will not update
-        if the artist window extent of the artist changes.  The extent
-        can change due to any changes in the transform stack, such as
-        changing the axes limits, the figure size, or the canvas used
-        (as is done when saving a figure).  This can lead to unexpected
-        behavior where interactive figures will look fine on the screen,
-        but will save incorrectly.
+        .. warning::
+
+          The extent can change due to any changes in the transform stack, such
+          as changing the Axes limits, the figure size, the canvas used (as is
+          done when saving a figure), or the DPI.
+
+          Relying on a once-retrieved window extent can lead to unexpected
+          behavior in various cases such as interactive figures being resized or
+          moved to a screen with different dpi, or figures that look fine on
+          screen render incorrectly when saved to file.
+
+          To get accurate results you may need to manually call
+          `matplotlib.figure.Figure.savefig` or
+          `matplotlib.figure.Figure.draw_without_rendering` to have Matplotlib
+          compute the rendered size.
+
         """
         return Bbox([[0, 0], [0, 0]])
 
+    def get_tightbbox(self, renderer=None):
+        """
+        Like `.Artist.get_window_extent`, but includes any clipping.
+
+        Parameters
+        ----------
+        renderer : `~matplotlib.backend_bases.RendererBase` subclass, optional
+            renderer that will be used to draw the figures (i.e.
+            ``fig.canvas.get_renderer()``)
+
+        Returns
+        -------
+        `.Bbox` or None
+            The enclosing bounding box (in figure pixel coordinates).
+            Returns None if clipping results in no intersection.
+        """
+        bbox = self.get_window_extent(renderer)
+        if self.get_clip_on():
+            clip_box = self.get_clip_box()
+            if clip_box is not None:
+                bbox = Bbox.intersection(bbox, clip_box)
+            clip_path = self.get_clip_path()
+            if clip_path is not None and bbox is not None:
+                clip_path = clip_path.get_fully_transformed_path()
+                bbox = Bbox.intersection(bbox, clip_path.get_extents())
+        return bbox
+
     def add_callback(self, func):
         """
-        Adds a callback function that will be called whenever one of
-        the :class:`Artist`'s properties changes.
+        Add a callback function that will be called whenever one of the
+        `.Artist`'s properties changes.
+
+        Parameters
+        ----------
+        func : callable
+            The callback function. It must have the signature::
+
+                def func(artist: Artist) -> Any
 
-        Returns an *id* that is useful for removing the callback with
-        :meth:`remove_callback` later.
+            where *artist* is the calling `.Artist`. Return values may exist
+            but are ignored.
+
+        Returns
+        -------
+        int
+            The observer id associated with the callback. This id can be
+            used for removing the callback with `.remove_callback` later.
+
+        See Also
+        --------
+        remove_callback
         """
-        oid = self._oid
-        self._propobservers[oid] = func
-        self._oid += 1
-        return oid
+        # Wrapping func in a lambda ensures it can be connected multiple times
+        # and never gets weakref-gc'ed.
+        return self._callbacks.connect("pchanged", lambda: func(self))
 
     def remove_callback(self, oid):
         """
-        Remove a callback based on its *id*.
-
-        .. seealso::
-
-            :meth:`add_callback`
-               For adding callbacks
+        Remove a callback based on its observer id.
 
+        See Also
+        --------
+        add_callback
         """
-        try:
-            del self._propobservers[oid]
-        except KeyError:
-            pass
+        self._callbacks.disconnect(oid)
 
     def pchanged(self):
         """
-        Fire an event when property changed, calling all of the
-        registered callbacks.
+        Call all of the registered callbacks.
+
+        This function is triggered internally when a property is changed.
+
+        See Also
+        --------
+        add_callback
+        remove_callback
         """
-        for oid, func in six.iteritems(self._propobservers):
-            func(self)
+        self._callbacks.process("pchanged")
 
     def is_transform_set(self):
         """
-        Returns *True* if :class:`Artist` has a transform explicitly
-        set.
+        Return whether the Artist has an explicitly set transform.
+
+        This is *True* after `.set_transform` has been called.
         """
         return self._transformSet
 
     def set_transform(self, t):
         """
-        Set the :class:`~matplotlib.transforms.Transform` instance
-        used by this artist.
+        Set the artist transform.
 
-        ACCEPTS: :class:`~matplotlib.transforms.Transform` instance
+        Parameters
+        ----------
+        t : `~matplotlib.transforms.Transform`
         """
         self._transform = t
         self._transformSet = True
         self.pchanged()
+        self.stale = True
 
     def get_transform(self):
-        """
-        Return the :class:`~matplotlib.transforms.Transform`
-        instance used by this artist.
-        """
+        """Return the `.Transform` instance used by this artist."""
         if self._transform is None:
             self._transform = IdentityTransform()
         elif (not isinstance(self._transform, Transform)
@@ -269,313 +457,357 @@ def get_transform(self):
             self._transform = self._transform._as_mpl_transform(self.axes)
         return self._transform
 
-    def hitlist(self, event):
-        """
-        List the children of the artist which contain the mouse event *event*.
-        """
-        L = []
-        try:
-            hascursor, info = self.contains(event)
-            if hascursor:
-                L.append(self)
-        except:
-            import traceback
-            traceback.print_exc()
-            print("while checking", self.__class__)
-
-        for a in self.get_children():
-            L.extend(a.hitlist(event))
-        return L
-
     def get_children(self):
-        """
-        Return a list of the child :class:`Artist`s this
-        :class:`Artist` contains.
-        """
+        r"""Return a list of the child `.Artist`\s of this `.Artist`."""
         return []
 
-    def contains(self, mouseevent):
-        """Test whether the artist contains the mouse event.
+    def _different_canvas(self, event):
+        """
+        Check whether an *event* occurred on a canvas other that this artist's canvas.
+
+        If this method returns True, the event definitely occurred on a different
+        canvas; if it returns False, either it occurred on the same canvas, or we may
+        not have enough information to know.
+
+        Subclasses should start their definition of `contains` as follows::
 
-        Returns the truth value and a dictionary of artist specific details of
-        selection, such as which points are contained in the pick radius.  See
-        individual artists for details.
+            if self._different_canvas(mouseevent):
+                return False, {}
+            # subclass-specific implementation follows
         """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-        warnings.warn("'%s' needs 'contains' method" % self.__class__.__name__)
-        return False, {}
+        return (getattr(event, "canvas", None) is not None
+                and (fig := self.get_figure(root=True)) is not None
+                and event.canvas is not fig.canvas)
 
-    def set_contains(self, picker):
+    def contains(self, mouseevent):
         """
-        Replace the contains test used by this artist. The new picker
-        should be a callable function which determines whether the
-        artist is hit by the mouse event::
+        Test whether the artist contains the mouse event.
 
-            hit, props = picker(artist, mouseevent)
+        Parameters
+        ----------
+        mouseevent : `~matplotlib.backend_bases.MouseEvent`
 
-        If the mouse event is over the artist, return *hit* = *True*
-        and *props* is a dictionary of properties you want returned
-        with the contains test.
+        Returns
+        -------
+        contains : bool
+            Whether any values are within the radius.
+        details : dict
+            An artist-specific dictionary of details of the event context,
+            such as which points are contained in the pick radius. See the
+            individual Artist subclasses for details.
+        """
+        _log.warning("%r needs 'contains' method", self.__class__.__name__)
+        return False, {}
 
-        ACCEPTS: a callable function
+    def pickable(self):
         """
-        self._contains = picker
+        Return whether the artist is pickable.
 
-    def get_contains(self):
-        """
-        Return the _contains test used by the artist, or *None* for default.
+        See Also
+        --------
+        .Artist.set_picker, .Artist.get_picker, .Artist.pick
         """
-        return self._contains
-
-    def pickable(self):
-        'Return *True* if :class:`Artist` is pickable.'
-        return (self.figure is not None and
-                self.figure.canvas is not None and
-                self._picker is not None)
+        return self.get_figure(root=False) is not None and self._picker is not None
 
     def pick(self, mouseevent):
         """
-        call signature::
+        Process a pick event.
 
-          pick(mouseevent)
+        Each child artist will fire a pick event if *mouseevent* is over
+        the artist and the artist has picker set.
 
-        each child artist will fire a pick event if *mouseevent* is over
-        the artist and the artist has picker set
+        See Also
+        --------
+        .Artist.set_picker, .Artist.get_picker, .Artist.pickable
         """
+        from .backend_bases import PickEvent  # Circular import.
         # Pick self
         if self.pickable():
             picker = self.get_picker()
-            if six.callable(picker):
+            if callable(picker):
                 inside, prop = picker(self, mouseevent)
             else:
                 inside, prop = self.contains(mouseevent)
             if inside:
-                self.figure.canvas.pick_event(mouseevent, self, **prop)
+                PickEvent("pick_event", self.get_figure(root=True).canvas,
+                          mouseevent, self, **prop)._process()
 
         # Pick children
         for a in self.get_children():
-            # make sure the event happened in the same axes
+            # make sure the event happened in the same Axes
             ax = getattr(a, 'axes', None)
-            if mouseevent.inaxes is None or ax is None or \
-                    mouseevent.inaxes == ax:
+            if (isinstance(a, mpl.figure.SubFigure)
+                    or mouseevent.inaxes is None or ax is None
+                    or mouseevent.inaxes == ax):
                 # we need to check if mouseevent.inaxes is None
-                # because some objects associated with an axes (e.g., a
+                # because some objects associated with an Axes (e.g., a
                 # tick label) can be outside the bounding box of the
-                # axes and inaxes will be None
+                # Axes and inaxes will be None
                 # also check that ax is None so that it traverse objects
-                # which do no have an axes property but children might
+                # which do not have an axes property but children might
                 a.pick(mouseevent)
 
     def set_picker(self, picker):
         """
-        Set the epsilon for picking used by this artist
-
-        *picker* can be one of the following:
+        Define the picking behavior of the artist.
 
-          * *None*: picking is disabled for this artist (default)
+        Parameters
+        ----------
+        picker : None or bool or float or callable
+            This can be one of the following:
 
-          * A boolean: if *True* then picking will be enabled and the
-            artist will fire a pick event if the mouse event is over
-            the artist
+            - *None*: Picking is disabled for this artist (default).
 
-          * A float: if picker is a number it is interpreted as an
-            epsilon tolerance in points and the artist will fire
-            off an event if it's data is within epsilon of the mouse
-            event.  For some artists like lines and patch collections,
-            the artist may provide additional data to the pick event
-            that is generated, e.g., the indices of the data within
-            epsilon of the pick event
+            - A boolean: If *True* then picking will be enabled and the
+              artist will fire a pick event if the mouse event is over
+              the artist.
 
-          * A function: if picker is callable, it is a user supplied
-            function which determines whether the artist is hit by the
-            mouse event::
+            - A float: If picker is a number it is interpreted as an
+              epsilon tolerance in points and the artist will fire
+              off an event if its data is within epsilon of the mouse
+              event.  For some artists like lines and patch collections,
+              the artist may provide additional data to the pick event
+              that is generated, e.g., the indices of the data within
+              epsilon of the pick event
 
-              hit, props = picker(artist, mouseevent)
+            - A function: If picker is callable, it is a user supplied
+              function which determines whether the artist is hit by the
+              mouse event::
 
-            to determine the hit test.  if the mouse event is over the
-            artist, return *hit=True* and props is a dictionary of
-            properties you want added to the PickEvent attributes.
+                hit, props = picker(artist, mouseevent)
 
-        ACCEPTS: [None|float|boolean|callable]
+              to determine the hit test.  if the mouse event is over the
+              artist, return *hit=True* and props is a dictionary of
+              properties you want added to the PickEvent attributes.
         """
         self._picker = picker
 
     def get_picker(self):
-        'Return the picker object used by this artist'
-        return self._picker
-
-    def is_figure_set(self):
         """
-        Returns True if the artist is assigned to a
-        :class:`~matplotlib.figure.Figure`.
+        Return the picking behavior of the artist.
+
+        The possible values are described in `.Artist.set_picker`.
+
+        See Also
+        --------
+        .Artist.set_picker, .Artist.pickable, .Artist.pick
         """
-        return self.figure is not None
+        return self._picker
 
     def get_url(self):
-        """
-        Returns the url
-        """
+        """Return the url."""
         return self._url
 
     def set_url(self, url):
         """
-        Sets the url for the artist
+        Set the url for the artist.
 
-        ACCEPTS: a url string
+        Parameters
+        ----------
+        url : str
         """
         self._url = url
 
     def get_gid(self):
-        """
-        Returns the group id
-        """
+        """Return the group id."""
         return self._gid
 
     def set_gid(self, gid):
         """
-        Sets the (group) id for the artist
+        Set the (group) id for the artist.
 
-        ACCEPTS: an id string
+        Parameters
+        ----------
+        gid : str
         """
         self._gid = gid
 
     def get_snap(self):
         """
-        Returns the snap setting which may be:
+        Return the snap setting.
 
-          * True: snap vertices to the nearest pixel center
-
-          * False: leave vertices as-is
-
-          * None: (auto) If the path contains only rectilinear line
-            segments, round to the nearest pixel center
-
-        Only supported by the Agg and MacOSX backends.
+        See `.set_snap` for details.
         """
-        if rcParams['path.snap']:
+        if mpl.rcParams['path.snap']:
             return self._snap
         else:
             return False
 
     def set_snap(self, snap):
         """
-        Sets the snap setting which may be:
+        Set the snapping behavior.
 
-          * True: snap vertices to the nearest pixel center
+        Snapping aligns positions with the pixel grid, which results in
+        clearer images. For example, if a black line of 1px width was
+        defined at a position in between two pixels, the resulting image
+        would contain the interpolated value of that line in the pixel grid,
+        which would be a grey value on both adjacent pixel positions. In
+        contrast, snapping will move the line to the nearest integer pixel
+        value, so that the resulting image will really contain a 1px wide
+        black line.
 
-          * False: leave vertices as-is
+        Snapping is currently only supported by the Agg and MacOSX backends.
 
-          * None: (auto) If the path contains only rectilinear line
-            segments, round to the nearest pixel center
+        Parameters
+        ----------
+        snap : bool or None
+            Possible values:
 
-        Only supported by the Agg and MacOSX backends.
+            - *True*: Snap vertices to the nearest pixel center.
+            - *False*: Do not modify vertex positions.
+            - *None*: (auto) If the path contains only rectilinear line
+              segments, round to the nearest pixel center.
         """
         self._snap = snap
+        self.stale = True
 
     def get_sketch_params(self):
         """
-        Returns the sketch parameters for the artist.
+        Return the sketch parameters for the artist.
 
         Returns
         -------
-        sketch_params : tuple or `None`
-
-        A 3-tuple with the following elements:
+        tuple or None
 
-          * `scale`: The amplitude of the wiggle perpendicular to the
-            source line.
+            A 3-tuple with the following elements:
 
-          * `length`: The length of the wiggle along the line.
+            - *scale*: The amplitude of the wiggle perpendicular to the
+              source line.
+            - *length*: The length of the wiggle along the line.
+            - *randomness*: The scale factor by which the length is
+              shrunken or expanded.
 
-          * `randomness`: The scale factor by which the length is
-            shrunken or expanded.
-
-        May return `None` if no sketch parameters were set.
+            Returns *None* if no sketch parameters were set.
         """
         return self._sketch
 
     def set_sketch_params(self, scale=None, length=None, randomness=None):
         """
-        Sets the the sketch parameters.
+        Set the sketch parameters.
 
         Parameters
         ----------
-
         scale : float, optional
             The amplitude of the wiggle perpendicular to the source
             line, in pixels.  If scale is `None`, or not provided, no
             sketch filter will be provided.
-
         length : float, optional
              The length of the wiggle along the line, in pixels
              (default 128.0)
-
         randomness : float, optional
             The scale factor by which the length is shrunken or
             expanded (default 16.0)
+
+            The PGF backend uses this argument as an RNG seed and not as
+            described above. Using the same seed yields the same random shape.
+
+            .. ACCEPTS: (scale: float, length: float, randomness: float)
         """
         if scale is None:
             self._sketch = None
         else:
             self._sketch = (scale, length or 128.0, randomness or 16.0)
+        self.stale = True
 
     def set_path_effects(self, path_effects):
         """
-        set path_effects, which should be a list of instances of
-        matplotlib.patheffect._Base class or its derivatives.
+        Set the path effects.
+
+        Parameters
+        ----------
+        path_effects : list of `.AbstractPathEffect`
         """
         self._path_effects = path_effects
+        self.stale = True
 
     def get_path_effects(self):
         return self._path_effects
 
-    def get_figure(self):
+    def get_figure(self, root=False):
         """
-        Return the :class:`~matplotlib.figure.Figure` instance the
-        artist belongs to.
+        Return the `.Figure` or `.SubFigure` instance the artist belongs to.
+
+        Parameters
+        ----------
+        root : bool, default=False
+            If False, return the (Sub)Figure this artist is on.  If True,
+            return the root Figure for a nested tree of SubFigures.
         """
-        return self.figure
+        if root and self._parent_figure is not None:
+            return self._parent_figure.get_figure(root=True)
+
+        return self._parent_figure
 
     def set_figure(self, fig):
         """
-        Set the :class:`~matplotlib.figure.Figure` instance the artist
-        belongs to.
+        Set the `.Figure` or `.SubFigure` instance the artist belongs to.
 
-        ACCEPTS: a :class:`matplotlib.figure.Figure` instance
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
         """
-        self.figure = fig
-        self.pchanged()
+        # if this is a no-op just return
+        if self._parent_figure is fig:
+            return
+        # if we currently have a figure (the case of both `self.figure`
+        # and *fig* being none is taken care of above) we then user is
+        # trying to change the figure an artist is associated with which
+        # is not allowed for the same reason as adding the same instance
+        # to more than one Axes
+        if self._parent_figure is not None:
+            raise RuntimeError("Can not put single artist in "
+                               "more than one figure")
+        self._parent_figure = fig
+        if self._parent_figure and self._parent_figure is not self:
+            self.pchanged()
+        self.stale = True
+
+    figure = property(get_figure, set_figure,
+                      doc=("The (Sub)Figure that the artist is on.  For more "
+                           "control, use the `get_figure` method."))
 
     def set_clip_box(self, clipbox):
         """
-        Set the artist's clip :class:`~matplotlib.transforms.Bbox`.
+        Set the artist's clip `.Bbox`.
+
+        Parameters
+        ----------
+        clipbox : `~matplotlib.transforms.BboxBase` or None
+            Will typically be created from a `.TransformedBbox`. For instance,
+            ``TransformedBbox(Bbox([[0, 0], [1, 1]]), ax.transAxes)`` is the default
+            clipping for an artist added to an Axes.
 
-        ACCEPTS: a :class:`matplotlib.transforms.Bbox` instance
         """
-        self.clipbox = clipbox
-        self.pchanged()
+        _api.check_isinstance((BboxBase, None), clipbox=clipbox)
+        if clipbox != self.clipbox:
+            self.clipbox = clipbox
+            self.pchanged()
+            self.stale = True
 
     def set_clip_path(self, path, transform=None):
         """
-        Set the artist's clip path, which may be:
+        Set the artist's clip path.
 
-          * a :class:`~matplotlib.patches.Patch` (or subclass) instance
-
-          * a :class:`~matplotlib.path.Path` instance, in which case
-             an optional :class:`~matplotlib.transforms.Transform`
-             instance may be provided, which will be applied to the
-             path before using it for clipping.
+        Parameters
+        ----------
+        path : `~matplotlib.patches.Patch` or `.Path` or `.TransformedPath` or None
+            The clip path. If given a `.Path`, *transform* must be provided as
+            well. If *None*, a previously set clip path is removed.
+        transform : `~matplotlib.transforms.Transform`, optional
+            Only used if *path* is a `.Path`, in which case the given `.Path`
+            is converted to a `.TransformedPath` using *transform*.
 
-          * *None*, to remove the clipping path
+        Notes
+        -----
+        For efficiency, if *path* is a `.Rectangle` this method will set the
+        clipping box to the corresponding rectangle and set the clipping path
+        to ``None``.
 
-        For efficiency, if the path happens to be an axis-aligned
-        rectangle, this method will set the clipping box to the
-        corresponding rectangle and set the clipping path to *None*.
+        For technical reasons (support of `~.Artist.set`), a tuple
+        (*path*, *transform*) is also accepted as a single positional
+        parameter.
 
-        ACCEPTS: [ (:class:`~matplotlib.path.Path`,
-        :class:`~matplotlib.transforms.Transform`) |
-        :class:`~matplotlib.patches.Patch` | None ]
+        .. ACCEPTS: Patch or (Path, Transform) or None
         """
         from matplotlib.patches import Patch, Rectangle
 
@@ -587,9 +819,7 @@ def set_clip_path(self, path, transform=None):
                 self._clippath = None
                 success = True
             elif isinstance(path, Patch):
-                self._clippath = TransformedPath(
-                    path.get_path(),
-                    path.get_transform())
+                self._clippath = TransformedPatchPath(path)
                 success = True
             elif isinstance(path, tuple):
                 path, transform = path
@@ -600,67 +830,113 @@ def set_clip_path(self, path, transform=None):
         elif isinstance(path, Path):
             self._clippath = TransformedPath(path, transform)
             success = True
+        elif isinstance(path, TransformedPatchPath):
+            self._clippath = path
+            success = True
         elif isinstance(path, TransformedPath):
             self._clippath = path
             success = True
 
         if not success:
-            print(type(path), type(transform))
-            raise TypeError("Invalid arguments to set_clip_path")
-
+            raise TypeError(
+                "Invalid arguments to set_clip_path, of type "
+                f"{type(path).__name__} and {type(transform).__name__}")
+        # This may result in the callbacks being hit twice, but guarantees they
+        # will be hit at least once.
         self.pchanged()
+        self.stale = True
 
     def get_alpha(self):
         """
         Return the alpha value used for blending - not supported on all
-        backends
+        backends.
         """
         return self._alpha
 
     def get_visible(self):
-        "Return the artist's visiblity"
+        """Return the visibility."""
         return self._visible
 
     def get_animated(self):
-        "Return the artist's animated state"
+        """Return whether the artist is animated."""
         return self._animated
 
+    def get_in_layout(self):
+        """
+        Return boolean flag, ``True`` if artist is included in layout
+        calculations.
+
+        E.g. :ref:`constrainedlayout_guide`,
+        `.Figure.tight_layout()`, and
+        ``fig.savefig(fname, bbox_inches='tight')``.
+        """
+        return self._in_layout
+
+    def _fully_clipped_to_axes(self):
+        """
+        Return a boolean flag, ``True`` if the artist is clipped to the Axes
+        and can thus be skipped in layout calculations. Requires `get_clip_on`
+        is True, one of `clip_box` or `clip_path` is set, ``clip_box.extents``
+        is equivalent to ``ax.bbox.extents`` (if set), and ``clip_path._patch``
+        is equivalent to ``ax.patch`` (if set).
+        """
+        # Note that ``clip_path.get_fully_transformed_path().get_extents()``
+        # cannot be directly compared to ``axes.bbox.extents`` because the
+        # extents may be undefined (i.e. equivalent to ``Bbox.null()``)
+        # before the associated artist is drawn, and this method is meant
+        # to determine whether ``axes.get_tightbbox()`` may bypass drawing
+        clip_box = self.get_clip_box()
+        clip_path = self.get_clip_path()
+        return (self.axes is not None
+                and self.get_clip_on()
+                and (clip_box is not None or clip_path is not None)
+                and (clip_box is None
+                     or np.all(clip_box.extents == self.axes.bbox.extents))
+                and (clip_path is None
+                     or isinstance(clip_path, TransformedPatchPath)
+                     and clip_path._patch is self.axes.patch))
+
     def get_clip_on(self):
-        'Return whether artist uses clipping'
+        """Return whether the artist uses clipping."""
         return self._clipon
 
     def get_clip_box(self):
-        'Return artist clipbox'
+        """Return the clipbox."""
         return self.clipbox
 
     def get_clip_path(self):
-        'Return artist clip path'
+        """Return the clip path."""
         return self._clippath
 
     def get_transformed_clip_path_and_affine(self):
-        '''
+        """
         Return the clip path with the non-affine part of its
         transformation applied, and the remaining affine part of its
         transformation.
-        '''
+        """
         if self._clippath is not None:
             return self._clippath.get_transformed_path_and_affine()
         return None, None
 
     def set_clip_on(self, b):
         """
-        Set whether artist uses clipping.
+        Set whether the artist uses clipping.
 
-        When False artists will be visible out side of the axes which
+        When False, artists will be visible outside the Axes which
         can lead to unexpected results.
 
-        ACCEPTS: [True | False]
+        Parameters
+        ----------
+        b : bool
         """
         self._clipon = b
+        # This may result in the callbacks being hit twice, but ensures they
+        # are hit at least once
         self.pchanged()
+        self.stale = True
 
     def _set_gc_clip(self, gc):
-        'Set the clip properly for the gc'
+        """Set the clip properly for the gc."""
         if self._clipon:
             if self.clipbox is not None:
                 gc.set_clip_rectangle(self.clipbox)
@@ -670,118 +946,182 @@ def _set_gc_clip(self, gc):
             gc.set_clip_path(None)
 
     def get_rasterized(self):
-        "return True if the artist is to be rasterized"
+        """Return whether the artist is to be rasterized."""
         return self._rasterized
 
     def set_rasterized(self, rasterized):
         """
-        Force rasterized (bitmap) drawing in vector backend output.
+        Force rasterized (bitmap) drawing for vector graphics output.
+
+        Rasterized drawing is not supported by all artists. If you try to
+        enable this on an artist that does not support it, the command has no
+        effect and a warning will be issued.
 
-        Defaults to None, which implies the backend's default behavior
+        This setting is ignored for pixel-based output.
 
-        ACCEPTS: [True | False | None]
+        See also :doc:`/gallery/misc/rasterization_demo`.
+
+        Parameters
+        ----------
+        rasterized : bool
         """
-        if rasterized and not hasattr(self.draw, "_supports_rasterization"):
-            warnings.warn("Rasterization of '%s' will be ignored" % self)
+        supports_rasterization = getattr(self.draw,
+                                         "_supports_rasterization", False)
+        if rasterized and not supports_rasterization:
+            _api.warn_external(f"Rasterization of '{self}' will be ignored")
 
         self._rasterized = rasterized
 
     def get_agg_filter(self):
-        "return filter function to be used for agg filter"
+        """Return filter function to be used for agg filter."""
         return self._agg_filter
 
     def set_agg_filter(self, filter_func):
         """
-        set agg_filter fuction.
+        Set the agg filter.
+
+        Parameters
+        ----------
+        filter_func : callable
+            A filter function, which takes a (m, n, depth) float array
+            and a dpi value, and returns a (m, n, depth) array and two
+            offsets from the bottom left corner of the image
 
+            .. ACCEPTS: a filter function, which takes a (m, n, 3) float array
+                and a dpi value, and returns a (m, n, 3) array and two offsets
+                from the bottom left corner of the image
         """
         self._agg_filter = filter_func
+        self.stale = True
+
+    def draw(self, renderer):
+        """
+        Draw the Artist (and its children) using the given renderer.
+
+        This has no effect if the artist is not visible (`.Artist.get_visible`
+        returns False).
+
+        Parameters
+        ----------
+        renderer : `~matplotlib.backend_bases.RendererBase` subclass.
 
-    def draw(self, renderer, *args, **kwargs):
-        'Derived classes drawing method'
+        Notes
+        -----
+        This method is overridden in the Artist subclasses.
+        """
         if not self.get_visible():
             return
+        self.stale = False
 
     def set_alpha(self, alpha):
         """
-        Set the alpha value used for blending - not supported on
-        all backends.
+        Set the alpha value used for blending - not supported on all backends.
 
-        ACCEPTS: float (0.0 transparent through 1.0 opaque)
-        """
-        self._alpha = alpha
-        self.pchanged()
+        Parameters
+        ----------
+        alpha : float or None
+            *alpha* must be within the 0-1 range, inclusive.
+        """
+        if alpha is not None and not isinstance(alpha, Real):
+            raise TypeError(
+                f'alpha must be numeric or None, not {type(alpha)}')
+        if alpha is not None and not (0 <= alpha <= 1):
+            raise ValueError(f'alpha ({alpha}) is outside 0-1 range')
+        if alpha != self._alpha:
+            self._alpha = alpha
+            self.pchanged()
+            self.stale = True
 
-    def set_lod(self, on):
+    def _set_alpha_for_array(self, alpha):
         """
-        Set Level of Detail on or off.  If on, the artists may examine
-        things like the pixel width of the axes and draw a subset of
-        their contents accordingly
+        Set the alpha value used for blending - not supported on all backends.
 
-        ACCEPTS: [True | False]
-        """
-        self._lod = on
+        Parameters
+        ----------
+        alpha : array-like or float or None
+            All values must be within the 0-1 range, inclusive.
+            Masked values and nans are not supported.
+        """
+        if isinstance(alpha, str):
+            raise TypeError("alpha must be numeric or None, not a string")
+        if not np.iterable(alpha):
+            Artist.set_alpha(self, alpha)
+            return
+        alpha = np.asarray(alpha)
+        if not (0 <= alpha.min() and alpha.max() <= 1):
+            raise ValueError('alpha must be between 0 and 1, inclusive, '
+                             f'but min is {alpha.min()}, max is {alpha.max()}')
+        self._alpha = alpha
         self.pchanged()
+        self.stale = True
 
     def set_visible(self, b):
         """
-        Set the artist's visiblity.
+        Set the artist's visibility.
 
-        ACCEPTS: [True | False]
+        Parameters
+        ----------
+        b : bool
         """
-        self._visible = b
-        self.pchanged()
+        if b != self._visible:
+            self._visible = b
+            self.pchanged()
+            self.stale = True
 
     def set_animated(self, b):
         """
-        Set the artist's animation state.
+        Set whether the artist is intended to be used in an animation.
 
-        ACCEPTS: [True | False]
-        """
-        self._animated = b
-        self.pchanged()
+        If True, the artist is excluded from regular drawing of the figure.
+        You have to call `.Figure.draw_artist` / `.Axes.draw_artist`
+        explicitly on the artist. This approach is used to speed up animations
+        using blitting.
 
-    def update(self, props):
+        See also `matplotlib.animation` and
+        :ref:`blitting`.
+
+        Parameters
+        ----------
+        b : bool
         """
-        Update the properties of this :class:`Artist` from the
-        dictionary *prop*.
-        """
-        store = self.eventson
-        self.eventson = False
-        changed = False
-
-        for k, v in six.iteritems(props):
-            func = getattr(self, 'set_' + k, None)
-            if func is None or not six.callable(func):
-                raise AttributeError('Unknown property %s' % k)
-            func(v)
-            changed = True
-        self.eventson = store
-        if changed:
+        if self._animated != b:
+            self._animated = b
             self.pchanged()
 
-    def get_label(self):
+    def set_in_layout(self, in_layout):
         """
-        Get the label used for this artist in the legend.
+        Set if artist is to be included in layout calculations,
+        E.g. :ref:`constrainedlayout_guide`,
+        `.Figure.tight_layout()`, and
+        ``fig.savefig(fname, bbox_inches='tight')``.
+
+        Parameters
+        ----------
+        in_layout : bool
         """
+        self._in_layout = in_layout
+
+    def get_label(self):
+        """Return the label used for this artist in the legend."""
         return self._label
 
     def set_label(self, s):
         """
-        Set the label to *s* for auto legend.
+        Set a label that will be displayed in the legend.
 
-        ACCEPTS: string or anything printable with '%s' conversion.
+        Parameters
+        ----------
+        s : object
+            *s* will be converted to a string by calling `str`.
         """
-        if s is not None:
-            self._label = '%s' % (s, )
-        else:
-            self._label = None
-        self.pchanged()
+        label = str(s) if s is not None else None
+        if label != self._label:
+            self._label = label
+            self.pchanged()
+            self.stale = True
 
     def get_zorder(self):
-        """
-        Return the :class:`Artist`'s zorder.
-        """
+        """Return the artist's zorder."""
         return self.zorder
 
     def set_zorder(self, level):
@@ -789,13 +1129,46 @@ def set_zorder(self, level):
         Set the zorder for the artist.  Artists with lower zorder
         values are drawn first.
 
-        ACCEPTS: any number
+        Parameters
+        ----------
+        level : float
+        """
+        if level is None:
+            level = self.__class__.zorder
+        if level != self.zorder:
+            self.zorder = level
+            self.pchanged()
+            self.stale = True
+
+    @property
+    def sticky_edges(self):
         """
-        self.zorder = level
-        self.pchanged()
+        ``x`` and ``y`` sticky edge lists for autoscaling.
+
+        When performing autoscaling, if a data limit coincides with a value in
+        the corresponding sticky_edges list, then no margin will be added--the
+        view limit "sticks" to the edge. A typical use case is histograms,
+        where one usually expects no margin on the bottom edge (0) of the
+        histogram.
+
+        Moreover, margin expansion "bumps" against sticky edges and cannot
+        cross them.  For example, if the upper data limit is 1.0, the upper
+        view limit computed by simple margin application is 1.2, but there is a
+        sticky edge at 1.1, then the actual upper view limit will be 1.1.
+
+        This attribute cannot be assigned to; however, the ``x`` and ``y``
+        lists can be modified in place as needed.
+
+        Examples
+        --------
+        >>> artist.sticky_edges.x[:] = (xmin, xmax)
+        >>> artist.sticky_edges.y[:] = (ymin, ymax)
+
+        """
+        return self._sticky_edges
 
     def update_from(self, other):
-        'Copy properties from *other* to *self*.'
+        """Copy properties from *other* to *self*."""
         self._transform = other._transform
         self._transformSet = other._transformSet
         self._visible = other._visible
@@ -803,92 +1176,255 @@ def update_from(self, other):
         self.clipbox = other.clipbox
         self._clipon = other._clipon
         self._clippath = other._clippath
-        self._lod = other._lod
         self._label = other._label
         self._sketch = other._sketch
         self._path_effects = other._path_effects
+        self.sticky_edges.x[:] = other.sticky_edges.x.copy()
+        self.sticky_edges.y[:] = other.sticky_edges.y.copy()
         self.pchanged()
+        self.stale = True
 
     def properties(self):
-        """
-        return a dictionary mapping property name -> value for all Artist props
-        """
+        """Return a dictionary of all the properties of the artist."""
         return ArtistInspector(self).properties()
 
-    def set(self, **kwargs):
+    def _update_props(self, props, errfmt):
         """
-        A tkstyle set command, pass *kwargs* to set properties
+        Helper for `.Artist.set` and `.Artist.update`.
+
+        *errfmt* is used to generate error messages for invalid property
+        names; it gets formatted with ``type(self)`` for "{cls}" and the
+        property name for "{prop_name}".
         """
         ret = []
-        for k, v in six.iteritems(kwargs):
-            k = k.lower()
-            funcName = "set_%s" % k
-            func = getattr(self, funcName)
-            ret.extend([func(v)])
+        with cbook._setattr_cm(self, eventson=False):
+            for k, v in props.items():
+                # Allow attributes we want to be able to update through
+                # art.update, art.set, setp.
+                if k == "axes":
+                    ret.append(setattr(self, k, v))
+                else:
+                    func = getattr(self, f"set_{k}", None)
+                    if not callable(func):
+                        raise AttributeError(
+                            errfmt.format(cls=type(self), prop_name=k),
+                            name=k)
+                    ret.append(func(v))
+        if ret:
+            self.pchanged()
+            self.stale = True
         return ret
 
+    def update(self, props):
+        """
+        Update this artist's properties from the dict *props*.
+
+        Parameters
+        ----------
+        props : dict
+        """
+        return self._update_props(
+            props, "{cls.__name__!r} object has no property {prop_name!r}")
+
+    def _internal_update(self, kwargs):
+        """
+        Update artist properties without prenormalizing them, but generating
+        errors as if calling `set`.
+
+        The lack of prenormalization is to maintain backcompatibility.
+        """
+        return self._update_props(
+            kwargs, "{cls.__name__}.set() got an unexpected keyword argument "
+            "{prop_name!r}")
+
+    def set(self, **kwargs):
+        # docstring and signature are auto-generated via
+        # Artist._update_set_signature_and_docstring() at the end of the
+        # module.
+        return self._internal_update(cbook.normalize_kwargs(kwargs, self))
+
+    @contextlib.contextmanager
+    def _cm_set(self, **kwargs):
+        """
+        `.Artist.set` context-manager that restores original values at exit.
+        """
+        orig_vals = {k: getattr(self, f"get_{k}")() for k in kwargs}
+        try:
+            self.set(**kwargs)
+            yield
+        finally:
+            self.set(**orig_vals)
+
     def findobj(self, match=None, include_self=True):
         """
         Find artist objects.
 
-        Recursively find all :class:`~matplotlib.artist.Artist` instances
-        contained in self.
+        Recursively find all `.Artist` instances contained in the artist.
 
-        *match* can be
-
-          - None: return all objects contained in artist.
+        Parameters
+        ----------
+        match
+            A filter criterion for the matches. This can be
 
-          - function with signature ``boolean = match(artist)``
-            used to filter matches
+            - *None*: Return all objects contained in artist.
+            - A function with signature ``def match(artist: Artist) -> bool``.
+              The result will only contain artists for which the function
+              returns *True*.
+            - A class instance: e.g., `.Line2D`. The result will only contain
+              artists of this class or its subclasses (``isinstance`` check).
 
-          - class instance: e.g., Line2D.  Only return artists of class type.
+        include_self : bool
+            Include *self* in the list to be checked for a match.
 
-        If *include_self* is True (default), include self in the list to be
-        checked for a match.
+        Returns
+        -------
+        list of `.Artist`
 
         """
         if match is None:  # always return True
             def matchfunc(x):
                 return True
-        elif cbook.issubclass_safe(match, Artist):
+        elif isinstance(match, type) and issubclass(match, Artist):
             def matchfunc(x):
                 return isinstance(x, match)
-        elif six.callable(match):
+        elif callable(match):
             matchfunc = match
         else:
             raise ValueError('match must be None, a matplotlib.artist.Artist '
                              'subclass, or a callable')
 
-        artists = []
-
-        for c in self.get_children():
-            if matchfunc(c):
-                artists.append(c)
-            artists.extend([thisc for thisc in
-                            c.findobj(matchfunc, include_self=False)
-                            if matchfunc(thisc)])
-
+        artists = reduce(operator.iadd,
+                         [c.findobj(matchfunc) for c in self.get_children()], [])
         if include_self and matchfunc(self):
             artists.append(self)
         return artists
 
+    def get_cursor_data(self, event):
+        """
+        Return the cursor data for a given event.
+
+        .. note::
+            This method is intended to be overridden by artist subclasses.
+            As an end-user of Matplotlib you will most likely not call this
+            method yourself.
+
+        Cursor data can be used by Artists to provide additional context
+        information for a given event. The default implementation just returns
+        *None*.
+
+        Subclasses can override the method and return arbitrary data. However,
+        when doing so, they must ensure that `.format_cursor_data` can convert
+        the data to a string representation.
+
+        The only current use case is displaying the z-value of an `.AxesImage`
+        in the status bar of a plot window, while moving the mouse.
+
+        Parameters
+        ----------
+        event : `~matplotlib.backend_bases.MouseEvent`
+
+        See Also
+        --------
+        format_cursor_data
+
+        """
+        return None
+
+    def format_cursor_data(self, data):
+        """
+        Return a string representation of *data*.
+
+        .. note::
+            This method is intended to be overridden by artist subclasses.
+            As an end-user of Matplotlib you will most likely not call this
+            method yourself.
+
+        The default implementation converts ints and floats and arrays of ints
+        and floats into a comma-separated string enclosed in square brackets,
+        unless the artist has an associated colorbar, in which case scalar
+        values are formatted using the colorbar's formatter.
+
+        See Also
+        --------
+        get_cursor_data
+        """
+        if np.ndim(data) == 0 and hasattr(self, "_format_cursor_data_override"):
+            # workaround for ScalarMappable to be able to define its own
+            # format_cursor_data(). See ScalarMappable._format_cursor_data_override
+            # for details.
+            return self._format_cursor_data_override(data)
+        else:
+            try:
+                data[0]
+            except (TypeError, IndexError):
+                data = [data]
+            data_str = ', '.join(f'{item:0.3g}' for item in data
+                                 if isinstance(item, Number))
+            return "[" + data_str + "]"
+
+    def get_mouseover(self):
+        """
+        Return whether this artist is queried for custom context information
+        when the mouse cursor moves over it.
+        """
+        return self._mouseover
+
+    def set_mouseover(self, mouseover):
+        """
+        Set whether this artist is queried for custom context information when
+        the mouse cursor moves over it.
+
+        Parameters
+        ----------
+        mouseover : bool
+
+        See Also
+        --------
+        get_cursor_data
+        .ToolCursorPosition
+        .NavigationToolbar2
+        """
+        self._mouseover = bool(mouseover)
+        ax = self.axes
+        if ax:
+            if self._mouseover:
+                ax._mouseover_set.add(self)
+            else:
+                ax._mouseover_set.discard(self)
+
+    mouseover = property(get_mouseover, set_mouseover)  # backcompat.
 
-class ArtistInspector(object):
+
+def _get_tightbbox_for_layout_only(obj, *args, **kwargs):
+    """
+    Matplotlib's `.Axes.get_tightbbox` and `.Axis.get_tightbbox` support a
+    *for_layout_only* kwarg; this helper tries to use the kwarg but skips it
+    when encountering third-party subclasses that do not support it.
+    """
+    try:
+        return obj.get_tightbbox(*args, **{**kwargs, "for_layout_only": True})
+    except TypeError:
+        return obj.get_tightbbox(*args, **kwargs)
+
+
+class ArtistInspector:
     """
-    A helper class to inspect an :class:`~matplotlib.artist.Artist`
-    and return information about it's settable properties and their
-    current values.
+    A helper class to inspect an `~matplotlib.artist.Artist` and return
+    information about its settable properties and their current values.
     """
+
     def __init__(self, o):
-        """
-        Initialize the artist inspector with an
-        :class:`~matplotlib.artist.Artist` or sequence of :class:`Artists`.
-        If a sequence is used, we assume it is a homogeneous sequence (all
-        :class:`Artists` are of the same type) and it is your responsibility
-        to make sure this is so.
-        """
-        if cbook.iterable(o) and len(o):
-            o = o[0]
+        r"""
+        Initialize the artist inspector with an `Artist` or an iterable of
+        `Artist`\s.  If an iterable is used, we assume it is a homogeneous
+        sequence (all `Artist`\s are of the same type) and it is your
+        responsibility to make sure this is so.
+        """
+        if not isinstance(o, Artist):
+            if np.iterable(o):
+                o = list(o)
+                if len(o):
+                    o = o[0]
 
         self.oorig = o
         if not isinstance(o, type):
@@ -899,145 +1435,168 @@ def __init__(self, o):
 
     def get_aliases(self):
         """
-        Get a dict mapping *fullname* -> *alias* for each *alias* in
-        the :class:`~matplotlib.artist.ArtistInspector`.
+        Get a dict mapping property fullnames to sets of aliases for each alias
+        in the :class:`~matplotlib.artist.ArtistInspector`.
 
         e.g., for lines::
 
-          {'markerfacecolor': 'mfc',
-           'linewidth'      : 'lw',
+          {'markerfacecolor': {'mfc'},
+           'linewidth'      : {'lw'},
           }
-
         """
-        names = [name for name in dir(self.o) if
-                 (name.startswith('set_') or name.startswith('get_'))
-                 and six.callable(getattr(self.o, name))]
+        names = [name for name in dir(self.o)
+                 if name.startswith(('set_', 'get_'))
+                    and callable(getattr(self.o, name))]
         aliases = {}
         for name in names:
             func = getattr(self.o, name)
             if not self.is_alias(func):
                 continue
-            docstring = func.__doc__
-            fullname = docstring[10:]
-            aliases.setdefault(fullname[4:], {})[name[4:]] = None
+            propname = re.search(f"`({name[:4]}.*)`",  # get_.*/set_.*
+                                 inspect.getdoc(func)).group(1)
+            aliases.setdefault(propname[4:], set()).add(name[4:])
         return aliases
 
     _get_valid_values_regex = re.compile(
-        r"\n\s*ACCEPTS:\s*((?:.|\n)*?)(?:$|(?:\n\n))"
+        r"\n\s*(?:\.\.\s+)?ACCEPTS:\s*((?:.|\n)*?)(?:$|(?:\n\n))"
     )
 
     def get_valid_values(self, attr):
         """
         Get the legal arguments for the setter associated with *attr*.
 
-        This is done by querying the docstring of the function *set_attr*
-        for a line that begins with ACCEPTS:
-
-        e.g., for a line linestyle, return
-        "[ ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'steps'`` | ``'None'``
-        ]"
+        This is done by querying the docstring of the setter for a line that
+        begins with "ACCEPTS:" or ".. ACCEPTS:", and then by looking for a
+        numpydoc-style documentation for the setter's first argument.
         """
 
         name = 'set_%s' % attr
         if not hasattr(self.o, name):
-            raise AttributeError('%s has no function %s' % (self.o, name))
+            raise AttributeError(f'{self.o} has no function {name}')
         func = getattr(self.o, name)
 
-        docstring = func.__doc__
+        if hasattr(func, '_kwarg_doc'):
+            return func._kwarg_doc
+
+        docstring = inspect.getdoc(func)
         if docstring is None:
             return 'unknown'
 
-        if docstring.startswith('alias for '):
+        if docstring.startswith('Alias for '):
             return None
 
         match = self._get_valid_values_regex.search(docstring)
         if match is not None:
-            return match.group(1).replace('\n', ' ')
+            return re.sub("\n *", " ", match.group(1))
+
+        # Much faster than list(inspect.signature(func).parameters)[1],
+        # although barely relevant wrt. matplotlib's total import time.
+        param_name = func.__code__.co_varnames[1]
+        # We could set the presence * based on whether the parameter is a
+        # varargs (it can't be a varkwargs) but it's not really worth it.
+        match = re.search(fr"(?m)^ *\*?{param_name} : (.+)", docstring)
+        if match:
+            return match.group(1)
+
         return 'unknown'
 
-    def _get_setters_and_targets(self):
+    def _replace_path(self, source_class):
+        """
+        Changes the full path to the public API path that is used
+        in sphinx. This is needed for links to work.
         """
-        Get the attribute strings and a full path to where the setter
-        is defined for all setters in an object.
+        replace_dict = {'_base._AxesBase': 'Axes',
+                        '_axes.Axes': 'Axes'}
+        for key, value in replace_dict.items():
+            source_class = source_class.replace(key, value)
+        return source_class
+
+    def get_setters(self):
         """
+        Get the attribute strings with setters for object.
 
+        For example, for a line, return ``['markerfacecolor', 'linewidth',
+        ....]``.
+        """
         setters = []
         for name in dir(self.o):
             if not name.startswith('set_'):
                 continue
-            o = getattr(self.o, name)
-            if not six.callable(o):
-                continue
-            if len(inspect.getargspec(o)[0]) < 2:
-                continue
-            func = o
-            if self.is_alias(func):
+            func = getattr(self.o, name)
+            if (not callable(func)
+                    or self.number_of_parameters(func) < 2
+                    or self.is_alias(func)):
                 continue
-            source_class = self.o.__module__ + "." + self.o.__name__
-            for cls in self.o.mro():
-                if name in cls.__dict__:
-                    source_class = cls.__module__ + "." + cls.__name__
-                    break
-            setters.append((name[4:], source_class + "." + name))
+            setters.append(name[4:])
         return setters
 
-    def get_setters(self):
-        """
-        Get the attribute strings with setters for object.  e.g., for a line,
-        return ``['markerfacecolor', 'linewidth', ....]``.
-        """
-
-        return [prop for prop, target in self._get_setters_and_targets()]
+    @staticmethod
+    @cache
+    def number_of_parameters(func):
+        """Return number of parameters of the callable *func*."""
+        return len(inspect.signature(func).parameters)
 
-    def is_alias(self, o):
+    @staticmethod
+    @cache
+    def is_alias(method):
         """
-        Return *True* if method object *o* is an alias for another
-        function.
+        Return whether the object *method* is an alias for another method.
         """
-        ds = o.__doc__
+
+        ds = inspect.getdoc(method)
         if ds is None:
             return False
-        return ds.startswith('alias for ')
+
+        return ds.startswith('Alias for ')
 
     def aliased_name(self, s):
         """
-        return 'PROPNAME or alias' if *s* has an alias, else return
-        PROPNAME.
+        Return 'PROPNAME or alias' if *s* has an alias, else return 'PROPNAME'.
 
-        e.g., for the line markerfacecolor property, which has an
+        For example, for the line markerfacecolor property, which has an
         alias, return 'markerfacecolor or mfc' and for the transform
-        property, which does not, return 'transform'
-        """
-
-        if s in self.aliasd:
-            return s + ''.join([' or %s' % x
-                                for x
-                                in six.iterkeys(self.aliasd[s])])
-        else:
-            return s
+        property, which does not, return 'transform'.
+        """
+        aliases = ''.join(' or %s' % x for x in sorted(self.aliasd.get(s, [])))
+        return s + aliases
+
+    _NOT_LINKABLE = {
+        # A set of property setter methods that are not available in our
+        # current docs. This is a workaround used to prevent trying to link
+        # these setters which would lead to "target reference not found"
+        # warnings during doc build.
+        'matplotlib.image._ImageBase.set_alpha',
+        'matplotlib.image._ImageBase.set_array',
+        'matplotlib.image._ImageBase.set_data',
+        'matplotlib.image._ImageBase.set_filternorm',
+        'matplotlib.image._ImageBase.set_filterrad',
+        'matplotlib.image._ImageBase.set_interpolation',
+        'matplotlib.image._ImageBase.set_interpolation_stage',
+        'matplotlib.image._ImageBase.set_resample',
+        'matplotlib.text._AnnotationBase.set_annotation_clip',
+    }
 
     def aliased_name_rest(self, s, target):
         """
-        return 'PROPNAME or alias' if *s* has an alias, else return
-        PROPNAME formatted for ReST
+        Return 'PROPNAME or alias' if *s* has an alias, else return 'PROPNAME',
+        formatted for reST.
 
-        e.g., for the line markerfacecolor property, which has an
+        For example, for the line markerfacecolor property, which has an
         alias, return 'markerfacecolor or mfc' and for the transform
-        property, which does not, return 'transform'
+        property, which does not, return 'transform'.
         """
+        # workaround to prevent "reference target not found"
+        if target in self._NOT_LINKABLE:
+            return f'``{s}``'
 
-        if s in self.aliasd:
-            aliases = ''.join([' or %s' % x
-                               for x
-                               in six.iterkeys(self.aliasd[s])])
-        else:
-            aliases = ''
-        return ':meth:`%s <%s>`%s' % (s, target, aliases)
+        aliases = ''.join(
+            f' or :meth:`{a} <{target}>`' for a in sorted(self.aliasd.get(s, [])))
+        return f':meth:`{s} <{target}>`{aliases}'
 
     def pprint_setters(self, prop=None, leadingspace=2):
         """
-        If *prop* is *None*, return a list of strings of all settable properies
-        and their valid values.
+        If *prop* is *None*, return a list of strings of all settable
+        properties and their valid values.
 
         If *prop* is not *None*, it is a valid property name and that
         property will be returned as a string of property : valid
@@ -1049,26 +1608,22 @@ def pprint_setters(self, prop=None, leadingspace=2):
             pad = ''
         if prop is not None:
             accepts = self.get_valid_values(prop)
-            return '%s%s: %s' % (pad, prop, accepts)
+            return f'{pad}{prop}: {accepts}'
 
-        attrs = self._get_setters_and_targets()
-        attrs.sort()
         lines = []
-
-        for prop, path in attrs:
+        for prop in sorted(self.get_setters()):
             accepts = self.get_valid_values(prop)
             name = self.aliased_name(prop)
-
-            lines.append('%s%s: %s' % (pad, name, accepts))
+            lines.append(f'{pad}{name}: {accepts}')
         return lines
 
-    def pprint_setters_rest(self, prop=None, leadingspace=2):
+    def pprint_setters_rest(self, prop=None, leadingspace=4):
         """
-        If *prop* is *None*, return a list of strings of all settable properies
-        and their valid values.  Format the output for ReST
+        If *prop* is *None*, return a list of reST-formatted strings of all
+        settable properties and their valid values.
 
         If *prop* is not *None*, it is a valid property name and that
-        property will be returned as a string of property : valid
+        property will be returned as a string of "property : valid"
         values.
         """
         if leadingspace:
@@ -1077,78 +1632,71 @@ def pprint_setters_rest(self, prop=None, leadingspace=2):
             pad = ''
         if prop is not None:
             accepts = self.get_valid_values(prop)
-            return '%s%s: %s' % (pad, prop, accepts)
-
-        attrs = self._get_setters_and_targets()
-        attrs.sort()
-        lines = []
+            return f'{pad}{prop}: {accepts}'
+
+        prop_and_qualnames = []
+        for prop in sorted(self.get_setters()):
+            # Find the parent method which actually provides the docstring.
+            for cls in self.o.__mro__:
+                method = getattr(cls, f"set_{prop}", None)
+                if method and method.__doc__ is not None:
+                    break
+            else:  # No docstring available.
+                method = getattr(self.o, f"set_{prop}")
+            prop_and_qualnames.append(
+                (prop, f"{method.__module__}.{method.__qualname__}"))
 
-        ########
         names = [self.aliased_name_rest(prop, target)
-                 for prop, target
-                 in attrs]
-        accepts = [self.get_valid_values(prop) for prop, target in attrs]
-
-        col0_len = max([len(n) for n in names])
-        col1_len = max([len(a) for a in accepts])
-        table_formatstr = pad + '=' * col0_len + '   ' + '=' * col1_len
-
-        lines.append('')
-        lines.append(table_formatstr)
-        lines.append(pad + 'Property'.ljust(col0_len + 3) +
-                     'Description'.ljust(col1_len))
-        lines.append(table_formatstr)
-
-        lines.extend([pad + n.ljust(col0_len + 3) + a.ljust(col1_len)
-                      for n, a in zip(names, accepts)])
-
-        lines.append(table_formatstr)
-        lines.append('')
-        return lines
-        ########
-
-        for prop, path in attrs:
-            accepts = self.get_valid_values(prop)
-            name = self.aliased_name_rest(prop, path)
-
-            lines.append('%s%s: %s' % (pad, name, accepts))
-        return lines
+                 .replace('_base._AxesBase', 'Axes')
+                 .replace('_axes.Axes', 'Axes')
+                 for prop, target in prop_and_qualnames]
+        accepts = [self.get_valid_values(prop)
+                   for prop, _ in prop_and_qualnames]
+
+        col0_len = max(len(n) for n in names)
+        col1_len = max(len(a) for a in accepts)
+        table_formatstr = pad + '   ' + '=' * col0_len + '   ' + '=' * col1_len
+
+        return [
+            '',
+            pad + '.. table::',
+            pad + '   :class: property-table',
+            '',
+            table_formatstr,
+            pad + '   ' + 'Property'.ljust(col0_len)
+            + '   ' + 'Description'.ljust(col1_len),
+            table_formatstr,
+            *[pad + '   ' + n.ljust(col0_len) + '   ' + a.ljust(col1_len)
+              for n, a in zip(names, accepts)],
+            table_formatstr,
+            '',
+        ]
 
     def properties(self):
-        """
-        return a dictionary mapping property name -> value
-        """
+        """Return a dictionary mapping property name -> value."""
         o = self.oorig
         getters = [name for name in dir(o)
-                   if name.startswith('get_')
-                   and six.callable(getattr(o, name))]
+                   if name.startswith('get_') and callable(getattr(o, name))]
         getters.sort()
-        d = dict()
+        d = {}
         for name in getters:
             func = getattr(o, name)
             if self.is_alias(func):
                 continue
-
             try:
-                val = func()
-            except:
+                with warnings.catch_warnings():
+                    warnings.simplefilter('ignore')
+                    val = func()
+            except Exception:
                 continue
             else:
                 d[name[4:]] = val
-
         return d
 
     def pprint_getters(self):
-        """
-        Return the getters and actual values as list of strings.
-        """
-
-        d = self.properties()
-        names = list(six.iterkeys(d))
-        names.sort()
+        """Return the getters and actual values as list of strings."""
         lines = []
-        for name in names:
-            val = d[name]
+        for name, val in sorted(self.properties().items()):
             if getattr(val, 'shape', ()) != () and len(val) > 6:
                 s = str(val[:6]) + '...'
             else:
@@ -1157,174 +1705,154 @@ def pprint_getters(self):
             if len(s) > 50:
                 s = s[:50] + '...'
             name = self.aliased_name(name)
-            lines.append('    %s = %s' % (name, s))
+            lines.append(f'    {name} = {s}')
         return lines
 
-    def findobj(self, match=None):
-        """
-        Recursively find all :class:`matplotlib.artist.Artist`
-        instances contained in *self*.
-
-        If *match* is not None, it can be
-
-          - function with signature ``boolean = match(artist)``
-
-          - class instance: e.g., :class:`~matplotlib.lines.Line2D`
-
-        used to filter matches.
-        """
-        if match is None:  # always return True
-            def matchfunc(x):
-                return True
-        elif issubclass(match, Artist):
-            def matchfunc(x):
-                return isinstance(x, match)
-        elif six.callable(match):
-            matchfunc = func
-        else:
-            raise ValueError('match must be None, an '
-                             'matplotlib.artist.Artist '
-                             'subclass, or a callable')
-
-        artists = []
-
-        for c in self.get_children():
-            if matchfunc(c):
-                artists.append(c)
-            artists.extend([thisc
-                            for thisc
-                            in c.findobj(matchfunc)
-                            if matchfunc(thisc)])
-
-        if matchfunc(self):
-            artists.append(self)
-        return artists
-
 
 def getp(obj, property=None):
     """
-    Return the value of object's property.  *property* is an optional string
-    for the property you want to return
-
-    Example usage::
+    Return the value of an `.Artist`'s *property*, or print all of them.
 
-        getp(obj)  # get all the object properties
-        getp(obj, 'linestyle')  # get the linestyle property
+    Parameters
+    ----------
+    obj : `~matplotlib.artist.Artist`
+        The queried artist; e.g., a `.Line2D`, a `.Text`, or an `~.axes.Axes`.
 
-    *obj* is a :class:`Artist` instance, e.g.,
-    :class:`~matplotllib.lines.Line2D` or an instance of a
-    :class:`~matplotlib.axes.Axes` or :class:`matplotlib.text.Text`.
-    If the *property* is 'somename', this function returns
+    property : str or None, default: None
+        If *property* is 'somename', this function returns
+        ``obj.get_somename()``.
 
-      obj.get_somename()
+        If it's None (or unset), it *prints* all gettable properties from
+        *obj*.  Many properties have aliases for shorter typing, e.g. 'lw' is
+        an alias for 'linewidth'.  In the output, aliases and full property
+        names will be listed as:
 
-    :func:`getp` can be used to query all the gettable properties with
-    ``getp(obj)``. Many properties have aliases for shorter typing, e.g.
-    'lw' is an alias for 'linewidth'.  In the output, aliases and full
-    property names will be listed as:
+          property or alias = value
 
-      property or alias = value
+        e.g.:
 
-    e.g.:
+          linewidth or lw = 2
 
-      linewidth or lw = 2
+    See Also
+    --------
+    setp
     """
     if property is None:
         insp = ArtistInspector(obj)
         ret = insp.pprint_getters()
         print('\n'.join(ret))
         return
-
-    func = getattr(obj, 'get_' + property)
-    return func()
+    return getattr(obj, 'get_' + property)()
 
 # alias
 get = getp
 
 
-def setp(obj, *args, **kwargs):
+def setp(obj, *args, file=None, **kwargs):
     """
-    Set a property on an artist object.
+    Set one or more properties on an `.Artist`, or list allowed values.
 
-    matplotlib supports the use of :func:`setp` ("set property") and
-    :func:`getp` to set and get object properties, as well as to do
-    introspection on the object.  For example, to set the linestyle of a
-    line to be dashed, you can do::
+    Parameters
+    ----------
+    obj : `~matplotlib.artist.Artist` or list of `.Artist`
+        The artist(s) whose properties are being set or queried.  When setting
+        properties, all artists are affected; when querying the allowed values,
+        only the first instance in the sequence is queried.
 
-      >>> line, = plot([1,2,3])
-      >>> setp(line, linestyle='--')
+        For example, two lines can be made thicker and red with a single call:
 
-    If you want to know the valid types of arguments, you can provide the
-    name of the property you want to set without a value::
+        >>> x = arange(0, 1, 0.01)
+        >>> lines = plot(x, sin(2*pi*x), x, sin(4*pi*x))
+        >>> setp(lines, linewidth=2, color='r')
 
-      >>> setp(line, 'linestyle')
-          linestyle: [ '-' | '--' | '-.' | ':' | 'steps' | 'None' ]
+    file : file-like, default: `sys.stdout`
+        Where `setp` writes its output when asked to list allowed values.
 
-    If you want to see all the properties that can be set, and their
-    possible values, you can do::
+        >>> with open('output.log') as file:
+        ...     setp(line, file=file)
 
-      >>> setp(line)
-          ... long output listing omitted
+        The default, ``None``, means `sys.stdout`.
 
-    :func:`setp` operates on a single instance or a list of instances.
-    If you are in query mode introspecting the possible values, only
-    the first instance in the sequence is used.  When actually setting
-    values, all the instances will be set.  e.g., suppose you have a
-    list of two lines, the following will make both lines thicker and
-    red::
+    *args, **kwargs
+        The properties to set.  The following combinations are supported:
 
-      >>> x = arange(0,1.0,0.01)
-      >>> y1 = sin(2*pi*x)
-      >>> y2 = sin(4*pi*x)
-      >>> lines = plot(x, y1, x, y2)
-      >>> setp(lines, linewidth=2, color='r')
+        - Set the linestyle of a line to be dashed:
 
-    :func:`setp` works with the MATLAB style string/value pairs or
-    with python kwargs.  For example, the following are equivalent::
+          >>> line, = plot([1, 2, 3])
+          >>> setp(line, linestyle='--')
 
-      >>> setp(lines, 'linewidth', 2, 'color', 'r')  # MATLAB style
-      >>> setp(lines, linewidth=2, color='r')        # python style
-    """
+        - Set multiple properties at once:
 
-    insp = ArtistInspector(obj)
+          >>> setp(line, linewidth=2, color='r')
 
-    if len(kwargs) == 0 and len(args) == 0:
-        print('\n'.join(insp.pprint_setters()))
-        return
+        - List allowed values for a line's linestyle:
 
-    if len(kwargs) == 0 and len(args) == 1:
-        print(insp.pprint_setters(prop=args[0]))
-        return
+          >>> setp(line, 'linestyle')
+          linestyle: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+
+        - List all properties that can be set, and their allowed values:
+
+          >>> setp(line)
+          agg_filter: a filter function, ...
+          [long output listing omitted]
+
+        `setp` also supports MATLAB style string/value pairs.  For example, the
+        following are equivalent:
+
+        >>> setp(lines, 'linewidth', 2, 'color', 'r')  # MATLAB style
+        >>> setp(lines, linewidth=2, color='r')        # Python style
+
+    See Also
+    --------
+    getp
+    """
 
-    if not cbook.iterable(obj):
+    if isinstance(obj, Artist):
         objs = [obj]
     else:
-        objs = cbook.flatten(obj)
+        objs = list(cbook.flatten(obj))
+
+    if not objs:
+        return
+
+    insp = ArtistInspector(objs[0])
+
+    if not kwargs and len(args) < 2:
+        if args:
+            print(insp.pprint_setters(prop=args[0]), file=file)
+        else:
+            print('\n'.join(insp.pprint_setters()), file=file)
+        return
 
     if len(args) % 2:
         raise ValueError('The set args must be string, value pairs')
 
-    funcvals = []
-    for i in range(0, len(args) - 1, 2):
-        funcvals.append((args[i], args[i + 1]))
-    funcvals.extend(kwargs.items())
-
-    ret = []
-    for o in objs:
-        for s, val in funcvals:
-            s = s.lower()
-            funcName = "set_%s" % s
-            func = getattr(o, funcName)
-            ret.extend([func(val)])
-    return [x for x in cbook.flatten(ret)]
-
-
-def kwdoc(a):
-    hardcopy = matplotlib.rcParams['docstring.hardcopy']
-    if hardcopy:
-        return '\n'.join(ArtistInspector(a).pprint_setters_rest(
-                         leadingspace=2))
-    else:
-        return '\n'.join(ArtistInspector(a).pprint_setters(leadingspace=2))
+    funcvals = dict(zip(args[::2], args[1::2]))
+    ret = [o.update(funcvals) for o in objs] + [o.set(**kwargs) for o in objs]
+    return list(cbook.flatten(ret))
+
 
-docstring.interpd.update(Artist=kwdoc(Artist))
+def kwdoc(artist):
+    r"""
+    Inspect an `~matplotlib.artist.Artist` class (using `.ArtistInspector`) and
+    return information about its settable properties and their current values.
+
+    Parameters
+    ----------
+    artist : `~matplotlib.artist.Artist` or an iterable of `Artist`\s
+
+    Returns
+    -------
+    str
+        The settable properties of *artist*, as plain text if
+        :rc:`docstring.hardcopy` is False and as a rst table (intended for
+        use in Sphinx) if it is True.
+    """
+    ai = ArtistInspector(artist)
+    return ('\n'.join(ai.pprint_setters_rest(leadingspace=4))
+            if mpl.rcParams['docstring.hardcopy'] else
+            'Properties:\n' + '\n'.join(ai.pprint_setters(leadingspace=4)))
+
+# We defer this to the end of them module, because it needs ArtistInspector
+# to be defined.
+Artist._update_set_signature_and_docstring()
diff --git a/lib/matplotlib/artist.pyi b/lib/matplotlib/artist.pyi
new file mode 100644
index 000000000000..7b8b0c36be69
--- /dev/null
+++ b/lib/matplotlib/artist.pyi
@@ -0,0 +1,197 @@
+from .axes._base import _AxesBase
+from .backend_bases import RendererBase, MouseEvent
+from .figure import Figure, SubFigure
+from .path import Path
+from .patches import Patch
+from .patheffects import AbstractPathEffect
+from .transforms import (
+    BboxBase,
+    Bbox,
+    Transform,
+    TransformedPatchPath,
+    TransformedPath,
+)
+
+import numpy as np
+
+from collections.abc import Callable, Iterable
+from typing import Any, Literal, NamedTuple, TextIO, overload, TypeVar
+from numpy.typing import ArrayLike
+
+_T_Artist = TypeVar("_T_Artist", bound=Artist)
+
+def allow_rasterization(draw): ...
+
+class _XYPair(NamedTuple):
+    x: ArrayLike
+    y: ArrayLike
+
+class Artist:
+    zorder: float
+    stale_callback: Callable[[Artist, bool], None] | None
+    @property
+    def figure(self) -> Figure | SubFigure: ...
+    clipbox: BboxBase | None
+    def __init__(self) -> None: ...
+    def remove(self) -> None: ...
+    def have_units(self) -> bool: ...
+    # TODO units
+    def convert_xunits(self, x): ...
+    def convert_yunits(self, y): ...
+    @property
+    def axes(self) -> _AxesBase | None: ...
+    @axes.setter
+    def axes(self, new_axes: _AxesBase | None) -> None: ...
+    @property
+    def stale(self) -> bool: ...
+    @stale.setter
+    def stale(self, val: bool) -> None: ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
+    def get_tightbbox(self, renderer: RendererBase | None = ...) -> Bbox | None: ...
+    def add_callback(self, func: Callable[[Artist], Any]) -> int: ...
+    def remove_callback(self, oid: int) -> None: ...
+    def pchanged(self) -> None: ...
+    def is_transform_set(self) -> bool: ...
+    def set_transform(self, t: Transform | None) -> None: ...
+    def get_transform(self) -> Transform: ...
+    def get_children(self) -> list[Artist]: ...
+    # TODO can these dicts be type narrowed? e.g. str keys
+    def contains(self, mouseevent: MouseEvent) -> tuple[bool, dict[Any, Any]]: ...
+    def pickable(self) -> bool: ...
+    def pick(self, mouseevent: MouseEvent) -> None: ...
+    def set_picker(
+        self,
+        picker: None
+        | bool
+        | float
+        | Callable[[Artist, MouseEvent], tuple[bool, dict[Any, Any]]],
+    ) -> None: ...
+    def get_picker(
+        self,
+    ) -> None | bool | float | Callable[
+        [Artist, MouseEvent], tuple[bool, dict[Any, Any]]
+    ]: ...
+    def get_url(self) -> str | None: ...
+    def set_url(self, url: str | None) -> None: ...
+    def get_gid(self) -> str | None: ...
+    def set_gid(self, gid: str | None) -> None: ...
+    def get_snap(self) -> bool | None: ...
+    def set_snap(self, snap: bool | None) -> None: ...
+    def get_sketch_params(self) -> tuple[float, float, float] | None: ...
+    def set_sketch_params(
+        self,
+        scale: float | None = ...,
+        length: float | None = ...,
+        randomness: float | None = ...,
+    ) -> None: ...
+    def set_path_effects(self, path_effects: list[AbstractPathEffect]) -> None: ...
+    def get_path_effects(self) -> list[AbstractPathEffect]: ...
+    @overload
+    def get_figure(self, root: Literal[True]) -> Figure | None: ...
+    @overload
+    def get_figure(self, root: Literal[False]) -> Figure | SubFigure | None: ...
+    @overload
+    def get_figure(self, root: bool = ...) -> Figure | SubFigure | None: ...
+    def set_figure(self, fig: Figure | SubFigure) -> None: ...
+    def set_clip_box(self, clipbox: BboxBase | None) -> None: ...
+    def set_clip_path(
+        self,
+        path: Patch | Path | TransformedPath | TransformedPatchPath | None,
+        transform: Transform | None = ...,
+    ) -> None: ...
+    def get_alpha(self) -> float | None: ...
+    def get_visible(self) -> bool: ...
+    def get_animated(self) -> bool: ...
+    def get_in_layout(self) -> bool: ...
+    def get_clip_on(self) -> bool: ...
+    def get_clip_box(self) -> Bbox | None: ...
+    def get_clip_path(
+        self,
+    ) -> Patch | Path | TransformedPath | TransformedPatchPath | None: ...
+    def get_transformed_clip_path_and_affine(
+        self,
+    ) -> tuple[None, None] | tuple[Path, Transform]: ...
+    def set_clip_on(self, b: bool) -> None: ...
+    def get_rasterized(self) -> bool: ...
+    def set_rasterized(self, rasterized: bool) -> None: ...
+    def get_agg_filter(self) -> Callable[[ArrayLike, float], tuple[np.ndarray, float, float]] | None: ...
+    def set_agg_filter(
+        self, filter_func: Callable[[ArrayLike, float], tuple[np.ndarray, float, float]] | None
+    ) -> None: ...
+    def draw(self, renderer: RendererBase) -> None: ...
+    def set_alpha(self, alpha: float | None) -> None: ...
+    def set_visible(self, b: bool) -> None: ...
+    def set_animated(self, b: bool) -> None: ...
+    def set_in_layout(self, in_layout: bool) -> None: ...
+    def get_label(self) -> object: ...
+    def set_label(self, s: object) -> None: ...
+    def get_zorder(self) -> float: ...
+    def set_zorder(self, level: float) -> None: ...
+    @property
+    def sticky_edges(self) -> _XYPair: ...
+    def update_from(self, other: Artist) -> None: ...
+    def properties(self) -> dict[str, Any]: ...
+    def update(self, props: dict[str, Any]) -> list[Any]: ...
+    def _internal_update(self, kwargs: Any) -> list[Any]: ...
+    def set(self, **kwargs: Any) -> list[Any]: ...
+
+    @overload
+    def findobj(
+        self,
+        match: None | Callable[[Artist], bool] = ...,
+        include_self: bool = ...,
+    ) -> list[Artist]: ...
+
+    @overload
+    def findobj(
+        self,
+        match: type[_T_Artist],
+        include_self: bool = ...,
+    ) -> list[_T_Artist]: ...
+
+    def get_cursor_data(self, event: MouseEvent) -> Any: ...
+    def format_cursor_data(self, data: Any) -> str: ...
+    def get_mouseover(self) -> bool: ...
+    def set_mouseover(self, mouseover: bool) -> None: ...
+    @property
+    def mouseover(self) -> bool: ...
+    @mouseover.setter
+    def mouseover(self, mouseover: bool) -> None: ...
+
+class ArtistInspector:
+    oorig: Artist | type[Artist]
+    o: type[Artist]
+    aliasd: dict[str, set[str]]
+    def __init__(
+        self, o: Artist | type[Artist] | Iterable[Artist | type[Artist]]
+    ) -> None: ...
+    def get_aliases(self) -> dict[str, set[str]]: ...
+    def get_valid_values(self, attr: str) -> str | None: ...
+    def get_setters(self) -> list[str]: ...
+    @staticmethod
+    def number_of_parameters(func: Callable) -> int: ...
+    @staticmethod
+    def is_alias(method: Callable) -> bool: ...
+    def aliased_name(self, s: str) -> str: ...
+    def aliased_name_rest(self, s: str, target: str) -> str: ...
+    @overload
+    def pprint_setters(
+        self, prop: None = ..., leadingspace: int = ...
+    ) -> list[str]: ...
+    @overload
+    def pprint_setters(self, prop: str, leadingspace: int = ...) -> str: ...
+    @overload
+    def pprint_setters_rest(
+        self, prop: None = ..., leadingspace: int = ...
+    ) -> list[str]: ...
+    @overload
+    def pprint_setters_rest(self, prop: str, leadingspace: int = ...) -> str: ...
+    def properties(self) -> dict[str, Any]: ...
+    def pprint_getters(self) -> list[str]: ...
+
+def getp(obj: Artist, property: str | None = ...) -> Any: ...
+
+get = getp
+
+def setp(obj: Artist, *args, file: TextIO | None = ..., **kwargs) -> list[Any] | None: ...
+def kwdoc(artist: Artist | type[Artist] | Iterable[Artist | type[Artist]]) -> str: ...
diff --git a/lib/matplotlib/axes/__init__.py b/lib/matplotlib/axes/__init__.py
index 82c543891941..cdc31f17aae6 100644
--- a/lib/matplotlib/axes/__init__.py
+++ b/lib/matplotlib/axes/__init__.py
@@ -1,5 +1,18 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from . import _base
+from ._axes import Axes
 
-from ._subplots import *
-from ._axes import *
+# Backcompat.
+Subplot = Axes
+
+
+class _SubplotBaseMeta(type):
+    def __instancecheck__(self, obj):
+        return (isinstance(obj, _base._AxesBase)
+                and obj.get_subplotspec() is not None)
+
+
+class SubplotBase(metaclass=_SubplotBaseMeta):
+    pass
+
+
+def subplot_class_factory(cls): return cls
diff --git a/lib/matplotlib/axes/__init__.pyi b/lib/matplotlib/axes/__init__.pyi
new file mode 100644
index 000000000000..7df38b8bde9e
--- /dev/null
+++ b/lib/matplotlib/axes/__init__.pyi
@@ -0,0 +1,16 @@
+from typing import TypeVar
+
+from ._axes import Axes as Axes
+
+
+_T = TypeVar("_T")
+
+# Backcompat.
+Subplot = Axes
+
+class _SubplotBaseMeta(type):
+    def __instancecheck__(self, obj) -> bool: ...
+
+class SubplotBase(metaclass=_SubplotBaseMeta): ...
+
+def subplot_class_factory(cls: type[_T]) -> type[_T]: ...
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 4d10e8647e56..b4ed7ae22d35 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -1,33 +1,28 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import reduce, xrange, zip
-
-import math
-import warnings
+import functools
 import itertools
+import logging
+import math
+from numbers import Integral, Number, Real
 
+import re
 import numpy as np
-from numpy import ma
-
-import matplotlib
-rcParams = matplotlib.rcParams
 
+import matplotlib as mpl
+import matplotlib.category  # Register category unit converter as side effect.
 import matplotlib.cbook as cbook
-from matplotlib.cbook import _string_to_bool, mplDeprecation
 import matplotlib.collections as mcoll
+import matplotlib.colorizer as mcolorizer
 import matplotlib.colors as mcolors
 import matplotlib.contour as mcontour
-import matplotlib.dates as _  # <-registers a date unit converter
-from matplotlib import docstring
+import matplotlib.dates  # noqa: F401, Register date unit converter as side effect.
 import matplotlib.image as mimage
+import matplotlib.inset as minset
 import matplotlib.legend as mlegend
 import matplotlib.lines as mlines
 import matplotlib.markers as mmarkers
 import matplotlib.mlab as mlab
-import matplotlib.path as mpath
 import matplotlib.patches as mpatches
+import matplotlib.path as mpath
 import matplotlib.quiver as mquiver
 import matplotlib.stackplot as mstack
 import matplotlib.streamplot as mstream
@@ -36,68 +31,114 @@
 import matplotlib.ticker as mticker
 import matplotlib.transforms as mtransforms
 import matplotlib.tri as mtri
-import matplotlib.transforms as mtrans
+import matplotlib.units as munits
+from matplotlib import _api, _docstring, _preprocess_data
+from matplotlib.axes._base import (
+    _AxesBase, _TransformedBoundsLocator, _process_plot_format)
+from matplotlib.axes._secondary_axes import SecondaryAxis
 from matplotlib.container import BarContainer, ErrorbarContainer, StemContainer
-from matplotlib.axes._base import _AxesBase
-from matplotlib.axes._base import _process_plot_format
+from matplotlib.transforms import _ScaledRotation
 
-iterable = cbook.iterable
-is_string_like = cbook.is_string_like
-is_sequence_of_strings = cbook.is_sequence_of_strings
+_log = logging.getLogger(__name__)
 
 
 # The axes module contains all the wrappers to plotting functions.
 # All the other methods should go in the _AxesBase class.
 
+
+def _make_axes_method(func):
+    """
+    Patch the qualname for functions that are directly added to Axes.
+
+    Some Axes functionality is defined in functions in other submodules.
+    These are simply added as attributes to Axes. As a result, their
+    ``__qualname__`` is e.g. only "table" and not "Axes.table". This
+    function fixes that.
+
+    Note that the function itself is patched, so that
+    ``matplotlib.table.table.__qualname__` will also show "Axes.table".
+    However, since these functions are not intended to be standalone,
+    this is bearable.
+    """
+    func.__qualname__ = f"Axes.{func.__name__}"
+    return func
+
+
+class _GroupedBarReturn:
+    """
+    A provisional result object for `.Axes.grouped_bar`.
+
+    This is a placeholder for a future better return type. We try to build in
+    backward compatibility / migration possibilities.
+
+    The only public interfaces are the ``bar_containers`` attribute and the
+    ``remove()`` method.
+    """
+    def __init__(self, bar_containers):
+        self.bar_containers = bar_containers
+
+    def remove(self):
+        [b.remove() for b in self.bar_containers]
+
+
+@_docstring.interpd
 class Axes(_AxesBase):
     """
-    The :class:`Axes` contains most of the figure elements:
-    :class:`~matplotlib.axis.Axis`, :class:`~matplotlib.axis.Tick`,
-    :class:`~matplotlib.lines.Line2D`, :class:`~matplotlib.text.Text`,
-    :class:`~matplotlib.patches.Polygon`, etc., and sets the
-    coordinate system.
-
-    The :class:`Axes` instance supports callbacks through a callbacks
-    attribute which is a :class:`~matplotlib.cbook.CallbackRegistry`
-    instance.  The events you can connect to are 'xlim_changed' and
-    'ylim_changed' and the callback will be called with func(*ax*)
-    where *ax* is the :class:`Axes` instance.
+    An Axes object encapsulates all the elements of an individual (sub-)plot in
+    a figure.
+
+    It contains most of the (sub-)plot elements: `~.axis.Axis`,
+    `~.axis.Tick`, `~.lines.Line2D`, `~.text.Text`, `~.patches.Polygon`, etc.,
+    and sets the coordinate system.
+
+    Like all visible elements in a figure, Axes is an `.Artist` subclass.
+
+    The `Axes` instance supports callbacks through a callbacks attribute which
+    is a `~.cbook.CallbackRegistry` instance.  The events you can connect to
+    are 'xlim_changed' and 'ylim_changed' and the callback will be called with
+    func(*ax*) where *ax* is the `Axes` instance.
+
+    .. note::
+
+        As a user, you do not instantiate Axes directly, but use Axes creation
+        methods instead; e.g. from `.pyplot` or `.Figure`:
+        `~.pyplot.subplots`, `~.pyplot.subplot_mosaic` or `.Figure.add_axes`.
+
     """
     ### Labelling, legend and texts
 
     def get_title(self, loc="center"):
-        """Get an axes title.
+        """
+        Get an Axes title.
 
-        Get one of the three available axes titles. The available titles
-        are positioned above the axes in the center, flush with the left
+        Get one of the three available Axes titles. The available titles
+        are positioned above the Axes in the center, flush with the left
         edge, and flush with the right edge.
 
         Parameters
         ----------
-        loc : {'center', 'left', 'right'}, str, optional
-            Which title to get, defaults to 'center'
+        loc : {'center', 'left', 'right'}, str, default: 'center'
+            Which title to return.
 
         Returns
         -------
-        title: str
+        str
             The title text string.
 
         """
-        try:
-            title = {'left': self._left_title,
-                     'center': self.title,
-                     'right': self._right_title}[loc.lower()]
-        except KeyError:
-            raise ValueError("'%s' is not a valid location" % loc)
+        titles = {'left': self._left_title,
+                  'center': self.title,
+                  'right': self._right_title}
+        title = _api.check_getitem(titles, loc=loc.lower())
         return title.get_text()
 
-    @docstring.dedent_interpd
-    def set_title(self, label, fontdict=None, loc="center", **kwargs):
+    def set_title(self, label, fontdict=None, loc=None, pad=None, *, y=None,
+                  **kwargs):
         """
-        Set a title for the axes.
+        Set a title for the Axes.
 
-        Set one of the three available axes titles. The available titles
-        are positioned above the axes in the center, flush with the left
+        Set one of the three available Axes titles. The available titles
+        are positioned above the Axes in the center, flush with the left
         edge, and flush with the right edge.
 
         Parameters
@@ -106,449 +147,548 @@ def set_title(self, label, fontdict=None, loc="center", **kwargs):
             Text to use for the title
 
         fontdict : dict
+
+            .. admonition:: Discouraged
+
+               The use of *fontdict* is discouraged. Parameters should be passed as
+               individual keyword arguments or using dictionary-unpacking
+               ``set_title(..., **fontdict)``.
+
             A dictionary controlling the appearance of the title text,
-            the default `fontdict` is::
+            the default *fontdict* is::
 
                {'fontsize': rcParams['axes.titlesize'],
-                'fontweight' : rcParams['axes.titleweight'],
+                'fontweight': rcParams['axes.titleweight'],
+                'color': rcParams['axes.titlecolor'],
                 'verticalalignment': 'baseline',
                 'horizontalalignment': loc}
 
-        loc : {'center', 'left', 'right'}, str, optional
-            Which title to set, defaults to 'center'
+        loc : {'center', 'left', 'right'}, default: :rc:`axes.titlelocation`
+            Which title to set.
+
+        y : float, default: :rc:`axes.titley`
+            Vertical Axes location for the title (1.0 is the top).  If
+            None (the default) and :rc:`axes.titley` is also None, y is
+            determined automatically to avoid decorators on the Axes.
+
+        pad : float, default: :rc:`axes.titlepad`
+            The offset of the title from the top of the Axes, in points.
 
         Returns
         -------
-        text : :class:`~matplotlib.text.Text`
+        `.Text`
             The matplotlib text instance representing the title
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : text properties
-            Other keyword arguments are text properties, see
-            :class:`~matplotlib.text.Text` for a list of valid text
-            properties.
+        **kwargs : `~matplotlib.text.Text` properties
+            Other keyword arguments are text properties, see `.Text` for a list
+            of valid text properties.
         """
-        try:
-            title = {'left': self._left_title,
-                     'center': self.title,
-                     'right': self._right_title}[loc.lower()]
-        except KeyError:
-            raise ValueError("'%s' is not a valid location" % loc)
+        loc = mpl._val_or_rc(loc, 'axes.titlelocation').lower()
+        y = mpl._val_or_rc(y, 'axes.titley')
+        if y is None:
+            y = 1.0
+        else:
+            self._autotitlepos = False
+        kwargs['y'] = y
+
+        titles = {'left': self._left_title,
+                  'center': self.title,
+                  'right': self._right_title}
+        title = _api.check_getitem(titles, loc=loc)
         default = {
-            'fontsize': rcParams['axes.titlesize'],
-            'fontweight': rcParams['axes.titleweight'],
+            'fontsize': mpl.rcParams['axes.titlesize'],
+            'fontweight': mpl.rcParams['axes.titleweight'],
             'verticalalignment': 'baseline',
-            'horizontalalignment': loc.lower()}
+            'horizontalalignment': loc}
+        titlecolor = mpl.rcParams['axes.titlecolor']
+        if not cbook._str_lower_equal(titlecolor, 'auto'):
+            default["color"] = titlecolor
+        self._set_title_offset_trans(float(mpl._val_or_rc(pad, 'axes.titlepad')))
         title.set_text(label)
         title.update(default)
         if fontdict is not None:
             title.update(fontdict)
-        title.update(kwargs)
+        title._internal_update(kwargs)
         return title
 
-    def get_xlabel(self):
+    def get_legend_handles_labels(self, legend_handler_map=None):
         """
-        Get the xlabel text string.
+        Return handles and labels for legend
+
+        ``ax.legend()`` is equivalent to ::
+
+          h, l = ax.get_legend_handles_labels()
+          ax.legend(h, l)
         """
-        label = self.xaxis.get_label()
-        return label.get_text()
+        # pass through to legend.
+        handles, labels = mlegend._get_legend_handles_labels(
+            [self], legend_handler_map)
+        return handles, labels
 
-    @docstring.dedent_interpd
-    def set_xlabel(self, xlabel, fontdict=None, labelpad=None, **kwargs):
+    @_docstring.interpd
+    def legend(self, *args, **kwargs):
         """
-        Set the label for the xaxis.
+        Place a legend on the Axes.
+
+        Call signatures::
+
+            legend()
+            legend(handles, labels)
+            legend(handles=handles)
+            legend(labels)
+
+        The call signatures correspond to the following different ways to use
+        this method:
+
+        **1. Automatic detection of elements to be shown in the legend**
+
+        The elements to be added to the legend are automatically determined,
+        when you do not pass in any extra arguments.
+
+        In this case, the labels are taken from the artist. You can specify
+        them either at artist creation or by calling the
+        :meth:`~.Artist.set_label` method on the artist::
+
+            ax.plot([1, 2, 3], label='Inline label')
+            ax.legend()
+
+        or::
+
+            line, = ax.plot([1, 2, 3])
+            line.set_label('Label via method')
+            ax.legend()
+
+        .. note::
+            Specific artists can be excluded from the automatic legend element
+            selection by using a label starting with an underscore, "_".
+            A string starting with an underscore is the default label for all
+            artists, so calling `.Axes.legend` without any arguments and
+            without setting the labels manually will result in a ``UserWarning``
+            and an empty legend being drawn.
+
+
+        **2. Explicitly listing the artists and labels in the legend**
+
+        For full control of which artists have a legend entry, it is possible
+        to pass an iterable of legend artists followed by an iterable of
+        legend labels respectively::
+
+            ax.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
+
+
+        **3. Explicitly listing the artists in the legend**
+
+        This is similar to 2, but the labels are taken from the artists'
+        label properties. Example::
+
+            line1, = ax.plot([1, 2, 3], label='label1')
+            line2, = ax.plot([1, 2, 3], label='label2')
+            ax.legend(handles=[line1, line2])
+
+
+        **4. Labeling existing plot elements**
+
+        .. admonition:: Discouraged
+
+            This call signature is discouraged, because the relation between
+            plot elements and labels is only implicit by their order and can
+            easily be mixed up.
+
+        To make a legend for all artists on an Axes, call this function with
+        an iterable of strings, one for each legend item. For example::
+
+            ax.plot([1, 2, 3])
+            ax.plot([5, 6, 7])
+            ax.legend(['First line', 'Second line'])
+
 
         Parameters
         ----------
-        xlabel : string
-            x label
+        handles : list of (`.Artist` or tuple of `.Artist`), optional
+            A list of Artists (lines, patches) to be added to the legend.
+            Use this together with *labels*, if you need full control on what
+            is shown in the legend and the automatic mechanism described above
+            is not sufficient.
 
-        labelpad : scalar, optional, default: None
-            spacing in points between the label and the x-axis
+            The length of handles and labels should be the same in this
+            case. If they are not, they are truncated to the smaller length.
+
+            If an entry contains a tuple, then the legend handler for all Artists in the
+            tuple will be placed alongside a single label.
+
+        labels : list of str, optional
+            A list of labels to show next to the artists.
+            Use this together with *handles*, if you need full control on what
+            is shown in the legend and the automatic mechanism described above
+            is not sufficient.
+
+        Returns
+        -------
+        `~matplotlib.legend.Legend`
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : `~matplotlib.text.Text` properties
+        %(_legend_kw_axes)s
 
-        See also
+        See Also
         --------
-        text : for information on how override and the optional args work
-        """
-        if labelpad is not None:
-            self.xaxis.labelpad = labelpad
-        return self.xaxis.set_label_text(xlabel, fontdict, **kwargs)
+        .Figure.legend
 
-    def get_ylabel(self):
-        """
-        Get the ylabel text string.
+        Notes
+        -----
+        Some artists are not supported by this function.  See
+        :ref:`legend_guide` for details.
+
+        Examples
+        --------
+        .. plot:: gallery/text_labels_and_annotations/legend.py
         """
-        label = self.yaxis.get_label()
-        return label.get_text()
+        handles, labels, kwargs = mlegend._parse_legend_args([self], *args, **kwargs)
+        self.legend_ = mlegend.Legend(self, handles, labels, **kwargs)
+        self.legend_._remove_method = self._remove_legend
+        return self.legend_
+
+    def _remove_legend(self, legend):
+        self.legend_ = None
 
-    @docstring.dedent_interpd
-    def set_ylabel(self, ylabel, fontdict=None, labelpad=None, **kwargs):
+    def inset_axes(self, bounds, *, transform=None, zorder=5, **kwargs):
         """
-        Set the label for the yaxis
+        Add a child inset Axes to this existing Axes.
+
 
         Parameters
         ----------
-        ylabel : string
-            y label
+        bounds : [x0, y0, width, height]
+            Lower-left corner of inset Axes, and its width and height.
 
-        labelpad : scalar, optional, default: None
-            spacing in points between the label and the x-axis
+        transform : `.Transform`
+            Defaults to `!ax.transAxes`, i.e. the units of *rect* are in
+            Axes-relative coordinates.
 
-        Other parameters
-        ----------------
-        kwargs : `~matplotlib.text.Text` properties
+        projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', \
+'polar', 'rectilinear', str}, optional
+            The projection type of the inset `~.axes.Axes`. *str* is the name
+            of a custom projection, see `~matplotlib.projections`. The default
+            None results in a 'rectilinear' projection.
+
+        polar : bool, default: False
+            If True, equivalent to projection='polar'.
+
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The `.axes.Axes` subclass that is instantiated.  This parameter
+            is incompatible with *projection* and *polar*.  See
+            :ref:`axisartist_users-guide-index` for examples.
 
-        See also
+        zorder : number
+            Defaults to 5 (same as `.Axes.legend`).  Adjust higher or lower
+            to change whether it is above or below data plotted on the
+            parent Axes.
+
+        **kwargs
+            Other keyword arguments are passed on to the inset Axes class.
+
+        Returns
+        -------
+        ax
+            The created `~.axes.Axes` instance.
+
+        Examples
         --------
-        text : for information on how override and the optional args work
+        This example makes two inset Axes, the first is in Axes-relative
+        coordinates, and the second in data-coordinates::
+
+            fig, ax = plt.subplots()
+            ax.plot(range(10))
+            axin1 = ax.inset_axes([0.8, 0.1, 0.15, 0.15])
+            axin2 = ax.inset_axes(
+                    [5, 7, 2.3, 2.3], transform=ax.transData)
 
         """
-        if labelpad is not None:
-            self.yaxis.labelpad = labelpad
-        return self.yaxis.set_label_text(ylabel, fontdict, **kwargs)
+        if transform is None:
+            transform = self.transAxes
+        kwargs.setdefault('label', 'inset_axes')
+
+        # This puts the rectangle into figure-relative coordinates.
+        inset_locator = _TransformedBoundsLocator(bounds, transform)
+        bounds = inset_locator(self, None).bounds
+        fig = self.get_figure(root=False)
+        projection_class, pkw = fig._process_projection_requirements(**kwargs)
+        inset_ax = projection_class(fig, bounds, zorder=zorder, **pkw)
 
-    def _get_legend_handles(self, legend_handler_map=None):
+        # this locator lets the axes move if in data coordinates.
+        # it gets called in `ax.apply_aspect() (of all places)
+        inset_ax.set_axes_locator(inset_locator)
+
+        self.add_child_axes(inset_ax)
+
+        return inset_ax
+
+    @_docstring.interpd
+    def indicate_inset(self, bounds=None, inset_ax=None, *, transform=None,
+                       facecolor='none', edgecolor='0.5', alpha=0.5,
+                       zorder=None, **kwargs):
         """
-        Return a generator of artists that can be used as handles in
-        a legend.
+        Add an inset indicator to the Axes.  This is a rectangle on the plot
+        at the position indicated by *bounds* that optionally has lines that
+        connect the rectangle to an inset Axes (`.Axes.inset_axes`).
+
+        Warnings
+        --------
+        This method is experimental as of 3.0, and the API may change.
+
+        Parameters
+        ----------
+        bounds : [x0, y0, width, height], optional
+            Lower-left corner of rectangle to be marked, and its width
+            and height.  If not set, the bounds will be calculated from the
+            data limits of *inset_ax*, which must be supplied.
+
+        inset_ax : `.Axes`, optional
+            An optional inset Axes to draw connecting lines to.  Two lines are
+            drawn connecting the indicator box to the inset Axes on corners
+            chosen so as to not overlap with the indicator box.
+
+        transform : `.Transform`
+            Transform for the rectangle coordinates. Defaults to
+            ``ax.transData``, i.e. the units of *rect* are in the Axes' data
+            coordinates.
+
+        facecolor : :mpltype:`color`, default: 'none'
+            Facecolor of the rectangle.
+
+        edgecolor : :mpltype:`color`, default: '0.5'
+            Color of the rectangle and color of the connecting lines.
+
+        alpha : float or None, default: 0.5
+            Transparency of the rectangle and connector lines.  If not
+            ``None``, this overrides any alpha value included in the
+            *facecolor* and *edgecolor* parameters.
+
+        zorder : float, default: 4.99
+            Drawing order of the rectangle and connector lines.  The default,
+            4.99, is just below the default level of inset Axes.
+
+        **kwargs
+            Other keyword arguments are passed on to the `.Rectangle` patch:
+
+            %(Rectangle:kwdoc)s
 
+        Returns
+        -------
+        inset_indicator : `.inset.InsetIndicator`
+            An artist which contains
+
+            inset_indicator.rectangle : `.Rectangle`
+                The indicator frame.
+
+            inset_indicator.connectors : 4-tuple of `.patches.ConnectionPatch`
+                The four connector lines connecting to (lower_left, upper_left,
+                lower_right upper_right) corners of *inset_ax*. Two lines are
+                set with visibility to *False*,  but the user can set the
+                visibility to True if the automatic choice is not deemed correct.
+
+            .. versionchanged:: 3.10
+                Previously the rectangle and connectors tuple were returned.
         """
-        handles_original = (self.lines + self.patches +
-                            self.collections + self.containers)
-        handler_map = mlegend.Legend.get_default_handler_map()
+        # to make the Axes connectors work, we need to apply the aspect to
+        # the parent Axes.
+        self.apply_aspect()
 
-        if legend_handler_map is not None:
-            handler_map = handler_map.copy()
-            handler_map.update(legend_handler_map)
+        if transform is None:
+            transform = self.transData
+        kwargs.setdefault('label', '_indicate_inset')
 
-        has_handler = mlegend.Legend.get_legend_handler
+        indicator_patch = minset.InsetIndicator(
+            bounds, inset_ax=inset_ax,
+            facecolor=facecolor, edgecolor=edgecolor, alpha=alpha,
+            zorder=zorder, transform=transform, **kwargs)
+        self.add_artist(indicator_patch)
 
-        for handle in handles_original:
-            label = handle.get_label()
-            if label != '_nolegend_' and has_handler(handler_map, handle):
-                yield handle
+        return indicator_patch
 
-    def get_legend_handles_labels(self, legend_handler_map=None):
+    def indicate_inset_zoom(self, inset_ax, **kwargs):
         """
-        Return handles and labels for legend
+        Add an inset indicator rectangle to the Axes based on the axis
+        limits for an *inset_ax* and draw connectors between *inset_ax*
+        and the rectangle.
 
-        ``ax.legend()`` is equivalent to ::
+        Warnings
+        --------
+        This method is experimental as of 3.0, and the API may change.
 
-          h, l = ax.get_legend_handles_labels()
-          ax.legend(h, l)
+        Parameters
+        ----------
+        inset_ax : `.Axes`
+            Inset Axes to draw connecting lines to.  Two lines are
+            drawn connecting the indicator box to the inset Axes on corners
+            chosen so as to not overlap with the indicator box.
+
+        **kwargs
+            Other keyword arguments are passed on to `.Axes.indicate_inset`
+
+        Returns
+        -------
+        inset_indicator : `.inset.InsetIndicator`
+            An artist which contains
+
+            inset_indicator.rectangle : `.Rectangle`
+                The indicator frame.
 
+            inset_indicator.connectors : 4-tuple of `.patches.ConnectionPatch`
+                The four connector lines connecting to (lower_left, upper_left,
+                lower_right upper_right) corners of *inset_ax*. Two lines are
+                set with visibility to *False*,  but the user can set the
+                visibility to True if the automatic choice is not deemed correct.
+
+            .. versionchanged:: 3.10
+                Previously the rectangle and connectors tuple were returned.
         """
-        handles = []
-        labels = []
-        for handle in self._get_legend_handles(legend_handler_map):
-            label = handle.get_label()
-            if label and not label.startswith('_'):
-                handles.append(handle)
-                labels.append(label)
 
-        return handles, labels
+        return self.indicate_inset(None, inset_ax, **kwargs)
 
-    def legend(self, *args, **kwargs):
+    @_docstring.interpd
+    def secondary_xaxis(self, location, functions=None, *, transform=None, **kwargs):
         """
-        Places a legend on the axes.
+        Add a second x-axis to this `~.axes.Axes`.
 
-        To make a legend for lines which already exist on the axes
-        (via plot for instance), simply call this function with an iterable
-        of strings, one for each legend item. For example::
+        For example if we want to have a second scale for the data plotted on
+        the xaxis.
 
-            ax.plot([1, 2, 3])
-            ax.legend(['A simple line'])
+        %(_secax_docstring)s
 
-        However, in order to keep the "label" and the legend element
-        instance together, it is preferable to specify the label either at
-        artist creation, or by calling the
-        :meth:`~matplotlib.artist.Artist.set_label` method on the artist::
+        Examples
+        --------
+        The main axis shows frequency, and the secondary axis shows period.
 
-            line, = ax.plot([1, 2, 3], label='Inline label')
-            # Overwrite the label by calling the method.
-            line.set_label('Label via method')
-            ax.legend()
+        .. plot::
 
-        Specific lines can be excluded from the automatic legend element
-        selection by defining a label starting with an underscore.
-        This is default for all artists, so calling :meth:`legend` without
-        any arguments and without setting the labels manually will result in
-        no legend being drawn.
+            fig, ax = plt.subplots()
+            ax.loglog(range(1, 360, 5), range(1, 360, 5))
+            ax.set_xlabel('frequency [Hz]')
 
-        For full control of which artists have a legend entry, it is possible
-        to pass an iterable of legend artists followed by an iterable of
-        legend labels respectively::
+            def invert(x):
+                # 1/x with special treatment of x == 0
+                x = np.array(x).astype(float)
+                near_zero = np.isclose(x, 0)
+                x[near_zero] = np.inf
+                x[~near_zero] = 1 / x[~near_zero]
+                return x
 
-           legend((line1, line2, line3), ('label1', 'label2', 'label3'))
+            # the inverse of 1/x is itself
+            secax = ax.secondary_xaxis('top', functions=(invert, invert))
+            secax.set_xlabel('Period [s]')
+            plt.show()
 
-        Parameters
-        ----------
-        loc : int or string or pair of floats, default: 0
-            The location of the legend. Possible codes are:
-
-                ===============   =============
-                Location String   Location Code
-                ===============   =============
-                'best'            0
-                'upper right'     1
-                'upper left'      2
-                'lower left'      3
-                'lower right'     4
-                'right'           5
-                'center left'     6
-                'center right'    7
-                'lower center'    8
-                'upper center'    9
-                'center'          10
-                ===============   =============
-
-
-            Alternatively can be a 2-tuple giving ``x, y`` of the lower-left
-            corner of the legend in axes coordinates (in which case
-            ``bbox_to_anchor`` will be ignored).
-
-        bbox_to_anchor : :class:`matplotlib.transforms.BboxBase` instance \
-                         or tuple of floats
-            Specify any arbitrary location for the legend in `bbox_transform`
-            coordinates (default Axes coordinates).
-
-            For example, to put the legend's upper right hand corner in the
-            center of the axes the following keywords can be used::
-
-               loc='upper right', bbox_to_anchor=(0.5, 0.5)
-
-        ncol : integer
-            The number of columns that the legend has. Default is 1.
-
-        prop : None or :class:`matplotlib.font_manager.FontProperties` or dict
-            The font properties of the legend. If None (default), the current
-            :data:`matplotlib.rcParams` will be used.
-
-        fontsize : int or float or {'xx-small', 'x-small', 'small', 'medium',\
-                   'large', 'x-large', 'xx-large'}
-            Controls the font size of the legend. If the value is numeric the
-            size will be the absolute font size in points. String values are
-            relative to the current default font size. This argument is only
-            used if `prop` is not specified.
-
-        numpoints : None or int
-            The number of marker points in the legend when creating a legend
-            entry for a line/:class:`matplotlib.lines.Line2D`.
-            Default is ``None`` which will take the value from the
-            ``legend.numpoints`` :data:`rcParam<matplotlib.rcParams>`.
-
-        scatterpoints : None or int
-            The number of marker points in the legend when creating a legend
-            entry for a scatter plot/
-            :class:`matplotlib.collections.PathCollection`.
-            Default is ``None`` which will take the value from the
-            ``legend.scatterpoints`` :data:`rcParam<matplotlib.rcParams>`.
-
-        scatteryoffsets : iterable of floats
-            The vertical offset (relative to the font size) for the markers
-            created for a scatter plot legend entry. 0.0 is at the base the
-            legend text, and 1.0 is at the top. To draw all markers at the
-            same height, set to ``[0.5]``. Default ``[0.375, 0.5, 0.3125]``.
-
-        markerscale : None or int or float
-            The relative size of legend markers compared with the originally
-            drawn ones. Default is ``None`` which will take the value from
-            the ``legend.markerscale`` :data:`rcParam <matplotlib.rcParams>`.
-
-        *markerfirst*: [ *True* | *False* ]
-            if *True*, legend marker is placed to the left of the legend label
-            if *False*, legend marker is placed to the right of the legend
-            label
-
-        frameon : None or bool
-            Control whether a frame should be drawn around the legend.
-            Default is ``None`` which will take the value from the
-            ``legend.frameon`` :data:`rcParam<matplotlib.rcParams>`.
-
-        fancybox : None or bool
-            Control whether round edges should be enabled around
-            the :class:`~matplotlib.patches.FancyBboxPatch` which
-            makes up the legend's background.
-            Default is ``None`` which will take the value from the
-            ``legend.fancybox`` :data:`rcParam<matplotlib.rcParams>`.
-
-        shadow : None or bool
-            Control whether to draw a shadow behind the legend.
-            Default is ``None`` which will take the value from the
-            ``legend.shadow`` :data:`rcParam<matplotlib.rcParams>`.
-
-        framealpha : None or float
-            Control the alpha transparency of the legend's frame.
-            Default is ``None`` which will take the value from the
-            ``legend.framealpha`` :data:`rcParam<matplotlib.rcParams>`.
-
-        mode : {"expand", None}
-            If `mode` is set to ``"expand"`` the legend will be horizontally
-            expanded to fill the axes area (or `bbox_to_anchor` if defines
-            the legend's size).
-
-        bbox_transform : None or :class:`matplotlib.transforms.Transform`
-            The transform for the bounding box (`bbox_to_anchor`). For a value
-            of ``None`` (default) the Axes'
-            :data:`~matplotlib.axes.Axes.transAxes` transform will be used.
-
-        title : str or None
-            The legend's title. Default is no title (``None``).
-
-        borderpad : float or None
-            The fractional whitespace inside the legend border.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.borderpad`` :data:`rcParam<matplotlib.rcParams>`.
-
-        labelspacing : float or None
-            The vertical space between the legend entries.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.labelspacing`` :data:`rcParam<matplotlib.rcParams>`.
-
-        handlelength : float or None
-            The length of the legend handles.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.handlelength`` :data:`rcParam<matplotlib.rcParams>`.
-
-        handletextpad : float or None
-            The pad between the legend handle and text.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.handletextpad`` :data:`rcParam<matplotlib.rcParams>`.
-
-        borderaxespad : float or None
-            The pad between the axes and legend border.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.borderaxespad`` :data:`rcParam<matplotlib.rcParams>`.
-
-        columnspacing : float or None
-            The spacing between columns.
-            Measured in font-size units.
-            Default is ``None`` which will take the value from the
-            ``legend.columnspacing`` :data:`rcParam<matplotlib.rcParams>`.
-
-        handler_map : dict or None
-            The custom dictionary mapping instances or types to a legend
-            handler. This `handler_map` updates the default handler map
-            found at :func:`matplotlib.legend.Legend.get_legend_handler_map`.
+        To add a secondary axis relative to your data, you can pass a transform
+        to the new axis.
 
-        Notes
-        -----
+        .. plot::
+
+            fig, ax = plt.subplots()
+            ax.plot(range(0, 5), range(-1, 4))
+
+            # Pass 'ax.transData' as a transform to place the axis
+            # relative to your data at y=0
+            secax = ax.secondary_xaxis(0, transform=ax.transData)
+        """
+        if not (location in ['top', 'bottom'] or isinstance(location, Real)):
+            raise ValueError('secondary_xaxis location must be either '
+                             'a float or "top"/"bottom"')
+
+        secondary_ax = SecondaryAxis(self, 'x', location, functions,
+                                     transform, **kwargs)
+        self.add_child_axes(secondary_ax)
+        return secondary_ax
+
+    @_docstring.interpd
+    def secondary_yaxis(self, location, functions=None, *, transform=None, **kwargs):
+        """
+        Add a second y-axis to this `~.axes.Axes`.
 
-        Not all kinds of artist are supported by the legend command.
-        See :ref:`plotting-guide-legend` for details.
+        For example if we want to have a second scale for the data plotted on
+        the yaxis.
+
+        %(_secax_docstring)s
 
         Examples
         --------
+        Add a secondary Axes that converts from radians to degrees
 
-        .. plot:: mpl_examples/api/legend_demo.py
-
-        """
-        handlers = kwargs.get('handler_map', {}) or {}
-
-        # Support handles and labels being passed as keywords.
-        handles = kwargs.pop('handles', None)
-        labels = kwargs.pop('labels', None)
-
-        if handles is not None and labels is None:
-            labels = [handle.get_label() for handle in handles]
-            for label, handle in zip(labels[:], handles[:]):
-                if label.startswith('_'):
-                    warnings.warn('The handle {!r} has a label of {!r} which '
-                                  'cannot be automatically added to the '
-                                  'legend.'.format(handle, label))
-                    labels.remove(label)
-                    handles.remove(handle)
-
-        elif labels is not None and handles is None:
-            # Get as many handles as there are labels.
-            handles = [handle for handle, _
-                       in zip(self._get_legend_handles(handlers), labels)]
-
-        # No arguments - automatically detect labels and handles.
-        elif len(args) == 0:
-            handles, labels = self.get_legend_handles_labels(handlers)
-            if not handles:
-                warnings.warn("No labelled objects found. "
-                              "Use label='...' kwarg on individual plots.")
-                return None
-
-        # One argument. User defined labels - automatic handle detection.
-        elif len(args) == 1:
-            labels, = args
-            # Get as many handles as there are labels.
-            handles = [handle for handle, _
-                       in zip(self._get_legend_handles(handlers), labels)]
-
-        # Two arguments. Either:
-        #   * user defined handles and labels
-        #   * user defined labels and location (deprecated)
-        elif len(args) == 2:
-            if is_string_like(args[1]) or isinstance(args[1], int):
-                cbook.warn_deprecated('1.4', 'The "loc" positional argument '
-                                      'to legend is deprecated. Please use '
-                                      'the "loc" keyword instead.')
-                labels, loc = args
-                handles = [handle for handle, _
-                           in zip(self._get_legend_handles(handlers), labels)]
-                kwargs['loc'] = loc
-            else:
-                handles, labels = args
+        .. plot::
 
-        # Three arguments. User defined handles, labels and
-        # location (deprecated).
-        elif len(args) == 3:
-            cbook.warn_deprecated('1.4', 'The "loc" positional argument '
-                                         'to legend is deprecated. Please '
-                                         'use the "loc" keyword instead.')
-            handles, labels, loc = args
-            kwargs['loc'] = loc
+            fig, ax = plt.subplots()
+            ax.plot(range(1, 360, 5), range(1, 360, 5))
+            ax.set_ylabel('degrees')
+            secax = ax.secondary_yaxis('right', functions=(np.deg2rad,
+                                                           np.rad2deg))
+            secax.set_ylabel('radians')
 
-        else:
-            raise TypeError('Invalid arguments to legend.')
+        To add a secondary axis relative to your data, you can pass a transform
+        to the new axis.
 
-        self.legend_ = mlegend.Legend(self, handles, labels, **kwargs)
-        self.legend_._remove_method = lambda h: setattr(self, 'legend_', None)
-        return self.legend_
+        .. plot::
+
+            fig, ax = plt.subplots()
+            ax.plot(range(0, 5), range(-1, 4))
+
+            # Pass 'ax.transData' as a transform to place the axis
+            # relative to your data at x=3
+            secax = ax.secondary_yaxis(3, transform=ax.transData)
+        """
+        if not (location in ['left', 'right'] or isinstance(location, Real)):
+            raise ValueError('secondary_yaxis location must be either '
+                             'a float or "left"/"right"')
+
+        secondary_ax = SecondaryAxis(self, 'y', location, functions,
+                                     transform, **kwargs)
+        self.add_child_axes(secondary_ax)
+        return secondary_ax
 
-    def text(self, x, y, s, fontdict=None,
-             withdash=False, **kwargs):
+    @_docstring.interpd
+    def text(self, x, y, s, fontdict=None, **kwargs):
         """
-        Add text to the axes.
+        Add text to the Axes.
 
-        Add text in string `s` to axis at location `x`, `y`, data
-        coordinates.
+        Add the text *s* to the Axes at location *x*, *y* in data coordinates,
+        with a default ``horizontalalignment`` on the ``left`` and
+        ``verticalalignment`` at the ``baseline``. See
+        :doc:`/gallery/text_labels_and_annotations/text_alignment`.
 
         Parameters
         ----------
-        x, y : scalars
-            data coordinates
+        x, y : float
+            The position to place the text. By default, this is in data
+            coordinates. The coordinate system can be changed using the
+            *transform* parameter.
+
+        s : str
+            The text.
+
+        fontdict : dict, default: None
 
-        s : string
-            text
+            .. admonition:: Discouraged
+
+               The use of *fontdict* is discouraged. Parameters should be passed as
+               individual keyword arguments or using dictionary-unpacking
+               ``text(..., **fontdict)``.
 
-        fontdict : dictionary, optional, default: None
             A dictionary to override the default text properties. If fontdict
-            is None, the defaults are determined by your rc parameters.
+            is None, the defaults are determined by `.rcParams`.
 
-        withdash : boolean, optional, default: False
-            Creates a `~matplotlib.text.TextWithDash` instance instead of a
-            `~matplotlib.text.Text` instance.
+        Returns
+        -------
+        `.Text`
+            The created `.Text` instance.
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : `~matplotlib.text.Text` properties.
+        **kwargs : `~matplotlib.text.Text` properties.
             Other miscellaneous text parameters.
 
+            %(Text:kwdoc)s
+
         Examples
         --------
         Individual keyword arguments can be used to override any given
@@ -557,143 +697,102 @@ def text(self, x, y, s, fontdict=None,
             >>> text(x, y, s, fontsize=12)
 
         The default transform specifies that text is in data coords,
-        alternatively, you can specify text in axis coords (0,0 is
-        lower-left and 1,1 is upper-right).  The example below places
-        text in the center of the axes::
+        alternatively, you can specify text in axis coords ((0, 0) is
+        lower-left and (1, 1) is upper-right).  The example below places
+        text in the center of the Axes::
 
-            >>> text(0.5, 0.5,'matplotlib', horizontalalignment='center',
-            ...      verticalalignment='center',
-            ...      transform=ax.transAxes)
+            >>> text(0.5, 0.5, 'matplotlib', horizontalalignment='center',
+            ...      verticalalignment='center', transform=ax.transAxes)
 
         You can put a rectangular box around the text instance (e.g., to
-        set a background color) by using the keyword `bbox`.  `bbox` is
+        set a background color) by using the keyword *bbox*.  *bbox* is
         a dictionary of `~matplotlib.patches.Rectangle`
         properties.  For example::
 
             >>> text(x, y, s, bbox=dict(facecolor='red', alpha=0.5))
         """
-        default = {
+        effective_kwargs = {
             'verticalalignment': 'baseline',
             'horizontalalignment': 'left',
             'transform': self.transData,
-            'clip_on': False}
-
-        # At some point if we feel confident that TextWithDash
-        # is robust as a drop-in replacement for Text and that
-        # the performance impact of the heavier-weight class
-        # isn't too significant, it may make sense to eliminate
-        # the withdash kwarg and simply delegate whether there's
-        # a dash to TextWithDash and dashlength.
-        if withdash:
-            t = mtext.TextWithDash(
-                x=x, y=y, text=s)
-        else:
-            t = mtext.Text(
-                x=x, y=y, text=s)
-        self._set_artist_props(t)
-
-        t.update(default)
-        if fontdict is not None:
-            t.update(fontdict)
-        t.update(kwargs)
-        self.texts.append(t)
-        t._remove_method = lambda h: self.texts.remove(h)
-
-        t.set_clip_path(self.patch)
+            'clip_on': False,
+            **(fontdict if fontdict is not None else {}),
+            **kwargs,
+        }
+        t = mtext.Text(x, y, text=s, **effective_kwargs)
+        if t.get_clip_path() is None:
+            t.set_clip_path(self.patch)
+        self._add_text(t)
         return t
 
-    @docstring.dedent_interpd
-    def annotate(self, *args, **kwargs):
-        """
-        Create an annotation: a piece of text referring to a data
-        point.
-
-        Parameters
-        ----------
-        s : string
-            label
-
-        xy : (x, y)
-            position of element to annotate
-
-        xytext : (x, y) , optional, default: None
-            position of the label `s`
-
-        xycoords : string, optional, default: "data"
-            string that indicates what type of coordinates `xy` is. Examples:
-            "figure points", "figure pixels", "figure fraction", "axes
-            points", .... See `matplotlib.text.Annotation` for more details.
-
-        textcoords : string, optional
-            string that indicates what type of coordinates `text` is. Examples:
-            "figure points", "figure pixels", "figure fraction", "axes
-            points", .... See `matplotlib.text.Annotation` for more details.
-            Default is None.
-
-        arrowprops : `matplotlib.lines.Line2D` properties, optional
-            Dictionary of line properties for the arrow that connects
-            the annotation to the point. If the dictionnary has a key
-            `arrowstyle`, a `~matplotlib.patches.FancyArrowPatch`
-            instance is created and drawn.  See
-            `matplotlib.text.Annotation` for more details on valid
-            options. Default is None.
-
-        Returns
-        -------
-        a : `~matplotlib.text.Annotation`
-
-
-        Notes
-        -----
-
-        %(Annotation)s
-
-        Examples
-        --------
-
-        .. plot:: mpl_examples/pylab_examples/annotation_demo2.py
-        """
-        a = mtext.Annotation(*args, **kwargs)
+    @_docstring.interpd
+    def annotate(self, text, xy, xytext=None, xycoords='data', textcoords=None,
+                 arrowprops=None, annotation_clip=None, **kwargs):
+        # Signature must match Annotation. This is verified in
+        # test_annotate_signature().
+        a = mtext.Annotation(text, xy, xytext=xytext, xycoords=xycoords,
+                             textcoords=textcoords, arrowprops=arrowprops,
+                             annotation_clip=annotation_clip, **kwargs)
         a.set_transform(mtransforms.IdentityTransform())
-        self._set_artist_props(a)
-        if 'clip_on' in kwargs:
+        if kwargs.get('clip_on', False) and a.get_clip_path() is None:
             a.set_clip_path(self.patch)
-        self.texts.append(a)
-        a._remove_method = lambda h: self.texts.remove(h)
+        self._add_text(a)
         return a
-
+    annotate.__doc__ = mtext.Annotation.__init__.__doc__
     #### Lines and spans
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def axhline(self, y=0, xmin=0, xmax=1, **kwargs):
         """
-        Add a horizontal line across the axis.
+        Add a horizontal line spanning the whole or fraction of the Axes.
+
+        Note: If you want to set x-limits in data coordinates, use
+        `~.Axes.hlines` instead.
 
         Parameters
         ----------
-        y : scalar, optional, default: 0
-            y position in data coordinates of the horizontal line.
+        y : float, default: 0
+            y position in :ref:`data coordinates <coordinate-systems>`.
 
-        xmin : scalar, optional, default: 0
-            Should be between 0 and 1, 0 being the far left of the plot, 1 the
-            far right of the plot.
+        xmin : float, default: 0
+            The start x-position in :ref:`axes coordinates <coordinate-systems>`.
+            Should be between 0 and 1, 0 being the far left of the plot,
+            1 the far right of the plot.
 
-        xmax : scalar, optional, default: 1
-            Should be between 0 and 1, 0 being the far left of the plot, 1 the
-            far right of the plot.
+        xmax : float, default: 1
+            The end x-position in :ref:`axes coordinates <coordinate-systems>`.
+            Should be between 0 and 1, 0 being the far left of the plot,
+            1 the far right of the plot.
 
         Returns
         -------
-        :class:`~matplotlib.lines.Line2D`
+        `~matplotlib.lines.Line2D`
+            A `.Line2D` specified via two points ``(xmin, y)``, ``(xmax, y)``.
+            Its transform is set such that *x* is in
+            :ref:`axes coordinates <coordinate-systems>` and *y* is in
+            :ref:`data coordinates <coordinate-systems>`.
 
-        Notes
-        -----
-        kwargs are passed to :class:`~matplotlib.lines.Line2D` and can be used
-        to control the line properties.
+            This is still a generic line and the horizontal character is only
+            realized through using identical *y* values for both points. Thus,
+            if you want to change the *y* value later, you have to provide two
+            values ``line.set_ydata([3, 3])``.
 
-        Examples
+        Other Parameters
+        ----------------
+        **kwargs
+            Valid keyword arguments are `.Line2D` properties, except for
+            'transform':
+
+            %(Line2D:kwdoc)s
+
+        See Also
         --------
+        hlines : Add horizontal lines in data coordinates.
+        axhspan : Add a horizontal span (rectangle) across the axis.
+        axline : Add a line with an arbitrary slope.
 
+        Examples
+        --------
         * draw a thick red hline at 'y' = 0 that spans the xrange::
 
             >>> axhline(linewidth=4, color='r')
@@ -706,60 +805,77 @@ def axhline(self, y=0, xmin=0, xmax=1, **kwargs):
           the xrange::
 
             >>> axhline(y=.5, xmin=0.25, xmax=0.75)
-
-        Valid kwargs are :class:`~matplotlib.lines.Line2D` properties,
-        with the exception of 'transform':
-
-        %(Line2D)s
-
-        See also
-        --------
-        axhspan : for example plot and source code
         """
-
+        self._check_no_units([xmin, xmax], ['xmin', 'xmax'])
         if "transform" in kwargs:
-            raise ValueError(
-                "'transform' is not allowed as a kwarg;"
-                + "axhline generates its own transform.")
+            raise ValueError("'transform' is not allowed as a keyword "
+                             "argument; axhline generates its own transform.")
         ymin, ymax = self.get_ybound()
 
-        # We need to strip away the units for comparison with
-        # non-unitized bounds
-        self._process_unit_info(ydata=y, kwargs=kwargs)
-        yy = self.convert_yunits(y)
+        # Strip away the units for comparison with non-unitized bounds.
+        yy, = self._process_unit_info([("y", y)], kwargs)
         scaley = (yy < ymin) or (yy > ymax)
 
         trans = self.get_yaxis_transform(which='grid')
         l = mlines.Line2D([xmin, xmax], [y, y], transform=trans, **kwargs)
         self.add_line(l)
-        self.autoscale_view(scalex=False, scaley=scaley)
+        l.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
+        if scaley:
+            self._request_autoscale_view("y")
         return l
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
         """
-        Add a vertical line across the axes.
+        Add a vertical line spanning the whole or fraction of the Axes.
+
+        Note: If you want to set y-limits in data coordinates, use
+        `~.Axes.vlines` instead.
 
         Parameters
         ----------
-        x : scalar, optional, default: 0
-            x position in data coordinates of the vertical line.
+        x : float, default: 0
+            x position in :ref:`data coordinates <coordinate-systems>`.
 
-        ymin : scalar, optional, default: 0
+        ymin : float, default: 0
+            The start y-position in :ref:`axes coordinates <coordinate-systems>`.
             Should be between 0 and 1, 0 being the bottom of the plot, 1 the
             top of the plot.
 
-        ymax : scalar, optional, default: 1
+        ymax : float, default: 1
+            The end y-position in :ref:`axes coordinates <coordinate-systems>`.
             Should be between 0 and 1, 0 being the bottom of the plot, 1 the
             top of the plot.
 
         Returns
         -------
-        :class:`~matplotlib.lines.Line2D`
+        `~matplotlib.lines.Line2D`
+            A `.Line2D` specified via two points ``(x, ymin)``, ``(x, ymax)``.
+            Its transform is set such that *x* is in
+            :ref:`data coordinates <coordinate-systems>` and *y* is in
+            :ref:`axes coordinates <coordinate-systems>`.
+
+            This is still a generic line and the vertical character is only
+            realized through using identical *x* values for both points. Thus,
+            if you want to change the *x* value later, you have to provide two
+            values ``line.set_xdata([3, 3])``.
+
+        Other Parameters
+        ----------------
+        **kwargs
+            Valid keyword arguments are `.Line2D` properties, except for
+            'transform':
 
+            %(Line2D:kwdoc)s
+
+        See Also
+        --------
+        vlines : Add vertical lines in data coordinates.
+        axvspan : Add a vertical span (rectangle) across the axis.
+        axline : Add a line with an arbitrary slope.
 
         Examples
-        ---------
+        --------
         * draw a thick red vline at *x* = 0 that spans the yrange::
 
             >>> axvline(linewidth=4, color='r')
@@ -768,326 +884,426 @@ def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
 
             >>> axvline(x=1)
 
-        * draw a default vline at *x* = .5 that spans the the middle half of
+        * draw a default vline at *x* = .5 that spans the middle half of
           the yrange::
 
             >>> axvline(x=.5, ymin=0.25, ymax=0.75)
-
-        Valid kwargs are :class:`~matplotlib.lines.Line2D` properties,
-        with the exception of 'transform':
-
-        %(Line2D)s
-
-        See also
-        --------
-        axhspan : for example plot and source code
         """
-
+        self._check_no_units([ymin, ymax], ['ymin', 'ymax'])
         if "transform" in kwargs:
-            raise ValueError(
-                "'transform' is not allowed as a kwarg;"
-                + "axvline generates its own transform.")
+            raise ValueError("'transform' is not allowed as a keyword "
+                             "argument; axvline generates its own transform.")
         xmin, xmax = self.get_xbound()
 
-        # We need to strip away the units for comparison with
-        # non-unitized bounds
-        self._process_unit_info(xdata=x, kwargs=kwargs)
-        xx = self.convert_xunits(x)
+        # Strip away the units for comparison with non-unitized bounds.
+        xx, = self._process_unit_info([("x", x)], kwargs)
         scalex = (xx < xmin) or (xx > xmax)
 
         trans = self.get_xaxis_transform(which='grid')
         l = mlines.Line2D([x, x], [ymin, ymax], transform=trans, **kwargs)
         self.add_line(l)
-        self.autoscale_view(scalex=scalex, scaley=False)
+        l.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
+        if scalex:
+            self._request_autoscale_view("x")
         return l
 
-    @docstring.dedent_interpd
-    def axhspan(self, ymin, ymax, xmin=0, xmax=1, **kwargs):
+    @staticmethod
+    def _check_no_units(vals, names):
+        # Helper method to check that vals are not unitized
+        for val, name in zip(vals, names):
+            if not munits._is_natively_supported(val):
+                raise ValueError(f"{name} must be a single scalar value, "
+                                 f"but got {val}")
+
+    @_docstring.interpd
+    def axline(self, xy1, xy2=None, *, slope=None, **kwargs):
         """
-        Add a horizontal span (rectangle) across the axis.
+        Add an infinitely long straight line.
 
-        Call signature::
+        The line can be defined either by two points *xy1* and *xy2*, or
+        by one point *xy1* and a *slope*.
 
-          axhspan(ymin, ymax, xmin=0, xmax=1, **kwargs)
+        This draws a straight line "on the screen", regardless of the x and y
+        scales, and is thus also suitable for drawing exponential decays in
+        semilog plots, power laws in loglog plots, etc. However, *slope*
+        should only be used with linear scales; It has no clear meaning for
+        all other scales, and thus the behavior is undefined. Please specify
+        the line using the points *xy1*, *xy2* for non-linear scales.
 
-        *y* coords are in data units and *x* coords are in axes (relative
-        0-1) units.
+        The *transform* keyword argument only applies to the points *xy1*,
+        *xy2*. The *slope* (if given) is always in data coordinates. This can
+        be used e.g. with ``ax.transAxes`` for drawing grid lines with a fixed
+        slope.
 
-        Draw a horizontal span (rectangle) from *ymin* to *ymax*.
-        With the default values of *xmin* = 0 and *xmax* = 1, this
-        always spans the xrange, regardless of the xlim settings, even
-        if you change them, e.g., with the :meth:`set_xlim` command.
-        That is, the horizontal extent is in axes coords: 0=left,
-        0.5=middle, 1.0=right but the *y* location is in data
-        coordinates.
+        Parameters
+        ----------
+        xy1, xy2 : (float, float)
+            Points for the line to pass through.
+            Either *xy2* or *slope* has to be given.
+        slope : float, optional
+            The slope of the line. Either *xy2* or *slope* has to be given.
 
-        Return value is a :class:`matplotlib.patches.Polygon`
-        instance.
+        Returns
+        -------
+        `.AxLine`
 
-       Examples:
+        Other Parameters
+        ----------------
+        **kwargs
+            Valid kwargs are `.Line2D` properties
 
-        * draw a gray rectangle from *y* = 0.25-0.75 that spans the
-          horizontal extent of the axes::
+            %(Line2D:kwdoc)s
 
-            >>> axhspan(0.25, 0.75, facecolor='0.5', alpha=0.5)
+        See Also
+        --------
+        axhline : for horizontal lines
+        axvline : for vertical lines
 
-        Valid kwargs are :class:`~matplotlib.patches.Polygon` properties:
+        Examples
+        --------
+        Draw a thick red line passing through (0, 0) and (1, 1)::
 
-        %(Polygon)s
+            >>> axline((0, 0), (1, 1), linewidth=4, color='r')
+        """
+        if slope is not None and (self.get_xscale() != 'linear' or
+                                  self.get_yscale() != 'linear'):
+            raise TypeError("'slope' cannot be used with non-linear scales")
 
-        **Example:**
+        datalim = [xy1] if xy2 is None else [xy1, xy2]
+        if "transform" in kwargs:
+            # if a transform is passed (i.e. line points not in data space),
+            # data limits should not be adjusted.
+            datalim = []
+
+        line = mlines.AxLine(xy1, xy2, slope, **kwargs)
+        # Like add_line, but correctly handling data limits.
+        self._set_artist_props(line)
+        if line.get_clip_path() is None:
+            line.set_clip_path(self.patch)
+        if not line.get_label():
+            line.set_label(f"_child{len(self._children)}")
+        self._children.append(line)
+        line._remove_method = self._children.remove
+        self.update_datalim(datalim)
+
+        self._request_autoscale_view()
+        return line
+
+    @_docstring.interpd
+    def axhspan(self, ymin, ymax, xmin=0, xmax=1, **kwargs):
+        """
+        Add a horizontal span (rectangle) across the Axes.
 
-        .. plot:: mpl_examples/pylab_examples/axhspan_demo.py
+        The rectangle spans from *ymin* to *ymax* vertically, and, by default,
+        the whole x-axis horizontally.  The x-span can be set using *xmin*
+        (default: 0) and *xmax* (default: 1) which are in axis units; e.g.
+        ``xmin = 0.5`` always refers to the middle of the x-axis regardless of
+        the limits set by `~.Axes.set_xlim`.
 
-        """
-        trans = self.get_yaxis_transform(which='grid')
+        Parameters
+        ----------
+        ymin : float
+            Lower y-coordinate of the span, in data units.
+        ymax : float
+            Upper y-coordinate of the span, in data units.
+        xmin : float, default: 0
+            Lower x-coordinate of the span, in x-axis (0-1) units.
+        xmax : float, default: 1
+            Upper x-coordinate of the span, in x-axis (0-1) units.
 
-        # process the unit information
-        self._process_unit_info([xmin, xmax], [ymin, ymax], kwargs=kwargs)
+        Returns
+        -------
+        `~matplotlib.patches.Rectangle`
+            Horizontal span (rectangle) from (xmin, ymin) to (xmax, ymax).
 
-        # first we need to strip away the units
-        xmin, xmax = self.convert_xunits([xmin, xmax])
-        ymin, ymax = self.convert_yunits([ymin, ymax])
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Rectangle` properties
+
+        %(Rectangle:kwdoc)s
 
-        verts = (xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)
-        p = mpatches.Polygon(verts, **kwargs)
-        p.set_transform(trans)
+        See Also
+        --------
+        axvspan : Add a vertical span across the Axes.
+        """
+        # Strip units away.
+        self._check_no_units([xmin, xmax], ['xmin', 'xmax'])
+        (ymin, ymax), = self._process_unit_info([("y", [ymin, ymax])], kwargs)
+
+        p = mpatches.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, **kwargs)
+        p.set_transform(self.get_yaxis_transform(which="grid"))
+        # For Rectangles and non-separable transforms, add_patch can be buggy
+        # and update the x limits even though it shouldn't do so for an
+        # yaxis_transformed patch, so undo that update.
+        ix = self.dataLim.intervalx.copy()
+        mx = self.dataLim.minposx
         self.add_patch(p)
-        self.autoscale_view(scalex=False)
+        self.dataLim.intervalx = ix
+        self.dataLim.minposx = mx
+        p.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
+        self._request_autoscale_view("y")
         return p
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs):
         """
-        Add a vertical span (rectangle) across the axes.
-
-        Call signature::
+        Add a vertical span (rectangle) across the Axes.
 
-          axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs)
+        The rectangle spans from *xmin* to *xmax* horizontally, and, by
+        default, the whole y-axis vertically.  The y-span can be set using
+        *ymin* (default: 0) and *ymax* (default: 1) which are in axis units;
+        e.g. ``ymin = 0.5`` always refers to the middle of the y-axis
+        regardless of the limits set by `~.Axes.set_ylim`.
 
-        *x* coords are in data units and *y* coords are in axes (relative
-        0-1) units.
-
-        Draw a vertical span (rectangle) from *xmin* to *xmax*.  With
-        the default values of *ymin* = 0 and *ymax* = 1, this always
-        spans the yrange, regardless of the ylim settings, even if you
-        change them, e.g., with the :meth:`set_ylim` command.  That is,
-        the vertical extent is in axes coords: 0=bottom, 0.5=middle,
-        1.0=top but the *y* location is in data coordinates.
-
-        Return value is the :class:`matplotlib.patches.Polygon`
-        instance.
+        Parameters
+        ----------
+        xmin : float
+            Lower x-coordinate of the span, in data units.
+        xmax : float
+            Upper x-coordinate of the span, in data units.
+        ymin : float, default: 0
+            Lower y-coordinate of the span, in y-axis units (0-1).
+        ymax : float, default: 1
+            Upper y-coordinate of the span, in y-axis units (0-1).
 
-        Examples:
+        Returns
+        -------
+        `~matplotlib.patches.Rectangle`
+            Vertical span (rectangle) from (xmin, ymin) to (xmax, ymax).
 
-        * draw a vertical green translucent rectangle from x=1.25 to 1.55 that
-          spans the yrange of the axes::
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Rectangle` properties
 
-            >>> axvspan(1.25, 1.55, facecolor='g', alpha=0.5)
+        %(Rectangle:kwdoc)s
 
-        Valid kwargs are :class:`~matplotlib.patches.Polygon`
-        properties:
+        See Also
+        --------
+        axhspan : Add a horizontal span across the Axes.
 
-        %(Polygon)s
+        Examples
+        --------
+        Draw a vertical, green, translucent rectangle from x = 1.25 to
+        x = 1.55 that spans the yrange of the Axes.
 
-        .. seealso::
+        >>> axvspan(1.25, 1.55, facecolor='g', alpha=0.5)
 
-            :meth:`axhspan`
-                for example plot and source code
         """
-        trans = self.get_xaxis_transform(which='grid')
-
-        # process the unit information
-        self._process_unit_info([xmin, xmax], [ymin, ymax], kwargs=kwargs)
-
-        # first we need to strip away the units
-        xmin, xmax = self.convert_xunits([xmin, xmax])
-        ymin, ymax = self.convert_yunits([ymin, ymax])
-
-        verts = [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)]
-        p = mpatches.Polygon(verts, **kwargs)
-        p.set_transform(trans)
+        # Strip units away.
+        self._check_no_units([ymin, ymax], ['ymin', 'ymax'])
+        (xmin, xmax), = self._process_unit_info([("x", [xmin, xmax])], kwargs)
+
+        p = mpatches.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, **kwargs)
+        p.set_transform(self.get_xaxis_transform(which="grid"))
+        # For Rectangles and non-separable transforms, add_patch can be buggy
+        # and update the y limits even though it shouldn't do so for an
+        # xaxis_transformed patch, so undo that update.
+        iy = self.dataLim.intervaly.copy()
+        my = self.dataLim.minposy
         self.add_patch(p)
-        self.autoscale_view(scaley=False)
+        self.dataLim.intervaly = iy
+        self.dataLim.minposy = my
+        p.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
+        self._request_autoscale_view("x")
         return p
 
-    @docstring.dedent
-    def hlines(self, y, xmin, xmax, colors='k', linestyles='solid',
+    @_api.make_keyword_only("3.10", "label")
+    @_preprocess_data(replace_names=["y", "xmin", "xmax", "colors"],
+                      label_namer="y")
+    def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
                label='', **kwargs):
         """
-        Plot horizontal lines at each `y` from `xmin` to `xmax`.
+        Plot horizontal lines at each *y* from *xmin* to *xmax*.
 
         Parameters
         ----------
-        y : scalar or sequence of scalar
+        y : float or array-like
             y-indexes where to plot the lines.
 
-        xmin, xmax : scalar or 1D array_like
+        xmin, xmax : float or array-like
             Respective beginning and end of each line. If scalars are
-            provided, all lines will have same length.
+            provided, all lines will have the same length.
 
-        colors : array_like of colors, optional, default: 'k'
+        colors : :mpltype:`color` or list of color , default: :rc:`lines.color`
 
-        linestyles : ['solid' | 'dashed' | 'dashdot' | 'dotted'], optional
+        linestyles : {'solid', 'dashed', 'dashdot', 'dotted'}, default: 'solid'
 
-        label : string, optional, default: ''
+        label : str, default: ''
 
         Returns
         -------
-        lines : `~matplotlib.collections.LineCollection`
+        `~matplotlib.collections.LineCollection`
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs :  `~matplotlib.collections.LineCollection` properties.
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs :  `~matplotlib.collections.LineCollection` properties.
 
-        See also
+        See Also
         --------
         vlines : vertical lines
-
-        Examples
-        --------
-        .. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
-
+        axhline : horizontal line across the Axes
         """
 
         # We do the conversion first since not all unitized data is uniform
-        # process the unit information
-        self._process_unit_info([xmin, xmax], y, kwargs=kwargs)
-        y = self.convert_yunits(y)
-        xmin = self.convert_xunits(xmin)
-        xmax = self.convert_xunits(xmax)
+        xmin, xmax, y = self._process_unit_info(
+            [("x", xmin), ("x", xmax), ("y", y)], kwargs)
 
-        if not iterable(y):
+        if not np.iterable(y):
             y = [y]
-        if not iterable(xmin):
+        if not np.iterable(xmin):
             xmin = [xmin]
-        if not iterable(xmax):
+        if not np.iterable(xmax):
             xmax = [xmax]
 
+        # Create and combine masked_arrays from input
+        y, xmin, xmax = cbook._combine_masks(y, xmin, xmax)
         y = np.ravel(y)
+        xmin = np.ravel(xmin)
+        xmax = np.ravel(xmax)
 
-        xmin = np.resize(xmin, y.shape)
-        xmax = np.resize(xmax, y.shape)
+        masked_verts = np.ma.empty((len(y), 2, 2))
+        masked_verts[:, 0, 0] = xmin
+        masked_verts[:, 0, 1] = y
+        masked_verts[:, 1, 0] = xmax
+        masked_verts[:, 1, 1] = y
 
-        verts = [((thisxmin, thisy), (thisxmax, thisy))
-                 for thisxmin, thisxmax, thisy in zip(xmin, xmax, y)]
-        coll = mcoll.LineCollection(verts, colors=colors,
-                                    linestyles=linestyles, label=label)
-        self.add_collection(coll, autolim=False)
-        coll.update(kwargs)
+        lines = mcoll.LineCollection(masked_verts, colors=colors,
+                                     linestyles=linestyles, label=label)
+        self.add_collection(lines, autolim=False)
+        lines._internal_update(kwargs)
 
         if len(y) > 0:
-            minx = min(xmin.min(), xmax.min())
-            maxx = max(xmin.max(), xmax.max())
-            miny = y.min()
-            maxy = y.max()
+            # Extreme values of xmin/xmax/y.  Using masked_verts here handles
+            # the case of y being a masked *object* array (as can be generated
+            # e.g. by errorbar()), which would make nanmin/nanmax stumble.
+            updatex = True
+            updatey = True
+            if self.name == "rectilinear":
+                datalim = lines.get_datalim(self.transData)
+                t = lines.get_transform()
+                updatex, updatey = t.contains_branch_seperately(self.transData)
+                minx = np.nanmin(datalim.xmin)
+                maxx = np.nanmax(datalim.xmax)
+                miny = np.nanmin(datalim.ymin)
+                maxy = np.nanmax(datalim.ymax)
+            else:
+                minx = np.nanmin(masked_verts[..., 0])
+                maxx = np.nanmax(masked_verts[..., 0])
+                miny = np.nanmin(masked_verts[..., 1])
+                maxy = np.nanmax(masked_verts[..., 1])
 
             corners = (minx, miny), (maxx, maxy)
+            self.update_datalim(corners, updatex, updatey)
+            self._request_autoscale_view()
+        return lines
 
-            self.update_datalim(corners)
-            self.autoscale_view()
-
-        return coll
-
-    @docstring.dedent_interpd
-    def vlines(self, x, ymin, ymax, colors='k', linestyles='solid',
+    @_api.make_keyword_only("3.10", "label")
+    @_preprocess_data(replace_names=["x", "ymin", "ymax", "colors"],
+                      label_namer="x")
+    def vlines(self, x, ymin, ymax, colors=None, linestyles='solid',
                label='', **kwargs):
         """
-        Plot vertical lines.
-
-        Plot vertical lines at each `x` from `ymin` to `ymax`.
+        Plot vertical lines at each *x* from *ymin* to *ymax*.
 
         Parameters
         ----------
-        x : scalar or 1D array_like
+        x : float or array-like
             x-indexes where to plot the lines.
 
-        ymin, ymax : scalar or 1D array_like
+        ymin, ymax : float or array-like
             Respective beginning and end of each line. If scalars are
-            provided, all lines will have same length.
+            provided, all lines will have the same length.
 
-        colors : array_like of colors, optional, default: 'k'
+        colors : :mpltype:`color` or list of color, default: :rc:`lines.color`
 
-        linestyles : ['solid' | 'dashed' | 'dashdot' | 'dotted'], optional
+        linestyles : {'solid', 'dashed', 'dashdot', 'dotted'}, default: 'solid'
 
-        label : string, optional, default: ''
+        label : str, default: ''
 
         Returns
         -------
-        lines : `~matplotlib.collections.LineCollection`
+        `~matplotlib.collections.LineCollection`
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : `~matplotlib.collections.LineCollection` properties.
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs : `~matplotlib.collections.LineCollection` properties.
 
-        See also
+        See Also
         --------
         hlines : horizontal lines
-
-        Examples
-        ---------
-        .. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
-
+        axvline : vertical line across the Axes
         """
 
-        self._process_unit_info(xdata=x, ydata=[ymin, ymax], kwargs=kwargs)
-
         # We do the conversion first since not all unitized data is uniform
-        x = self.convert_xunits(x)
-        ymin = self.convert_yunits(ymin)
-        ymax = self.convert_yunits(ymax)
+        x, ymin, ymax = self._process_unit_info(
+            [("x", x), ("y", ymin), ("y", ymax)], kwargs)
 
-        if not iterable(x):
+        if not np.iterable(x):
             x = [x]
-        if not iterable(ymin):
+        if not np.iterable(ymin):
             ymin = [ymin]
-        if not iterable(ymax):
+        if not np.iterable(ymax):
             ymax = [ymax]
 
+        # Create and combine masked_arrays from input
+        x, ymin, ymax = cbook._combine_masks(x, ymin, ymax)
         x = np.ravel(x)
-        ymin = np.resize(ymin, x.shape)
-        ymax = np.resize(ymax, x.shape)
+        ymin = np.ravel(ymin)
+        ymax = np.ravel(ymax)
 
-        verts = [((thisx, thisymin), (thisx, thisymax))
-                 for thisx, thisymin, thisymax in zip(x, ymin, ymax)]
-        #print 'creating line collection'
-        coll = mcoll.LineCollection(verts, colors=colors,
-                                    linestyles=linestyles, label=label)
-        self.add_collection(coll, autolim=False)
-        coll.update(kwargs)
+        masked_verts = np.ma.empty((len(x), 2, 2))
+        masked_verts[:, 0, 0] = x
+        masked_verts[:, 0, 1] = ymin
+        masked_verts[:, 1, 0] = x
+        masked_verts[:, 1, 1] = ymax
 
-        if len(x) > 0:
-            minx = min(x)
-            maxx = max(x)
+        lines = mcoll.LineCollection(masked_verts, colors=colors,
+                                     linestyles=linestyles, label=label)
+        self.add_collection(lines, autolim=False)
+        lines._internal_update(kwargs)
 
-            miny = min(min(ymin), min(ymax))
-            maxy = max(max(ymin), max(ymax))
+        if len(x) > 0:
+            # Extreme values of x/ymin/ymax.  Using masked_verts here handles
+            # the case of x being a masked *object* array (as can be generated
+            # e.g. by errorbar()), which would make nanmin/nanmax stumble.
+            updatex = True
+            updatey = True
+            if self.name == "rectilinear":
+                datalim = lines.get_datalim(self.transData)
+                t = lines.get_transform()
+                updatex, updatey = t.contains_branch_seperately(self.transData)
+                minx = np.nanmin(datalim.xmin)
+                maxx = np.nanmax(datalim.xmax)
+                miny = np.nanmin(datalim.ymin)
+                maxy = np.nanmax(datalim.ymax)
+            else:
+                minx = np.nanmin(masked_verts[..., 0])
+                maxx = np.nanmax(masked_verts[..., 0])
+                miny = np.nanmin(masked_verts[..., 1])
+                maxy = np.nanmax(masked_verts[..., 1])
 
             corners = (minx, miny), (maxx, maxy)
-            self.update_datalim(corners)
-            self.autoscale_view()
-
-        return coll
+            self.update_datalim(corners, updatex, updatey)
+            self._request_autoscale_view()
+        return lines
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "orientation")
+    @_preprocess_data(replace_names=["positions", "lineoffsets",
+                                     "linelengths", "linewidths",
+                                     "colors", "linestyles"])
+    @_docstring.interpd
     def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
-                  linelengths=1, linewidths=None, colors=None,
+                  linelengths=1, linewidths=None, colors=None, alpha=None,
                   linestyles='solid', **kwargs):
         """
-        Plot identical parallel lines at specific positions.
-
-        Call signature::
-
-          eventplot(positions, orientation='horizontal', lineoffsets=0,
-                    linelengths=1, linewidths=None, color =None,
-                    linestyles='solid'
-
-        Plot parallel lines at the given positions.  positions should be a 1D
-        or 2D array-like object, with each row corresponding to a row or column
-        of lines.
+        Plot identical parallel lines at the given positions.
 
         This type of plot is commonly used in neuroscience for representing
-        neural events, where it is commonly called a spike raster, dot raster,
+        neural events, where it is usually called a spike raster, dot raster,
         or raster plot.
 
         However, it is useful in any situation where you wish to show the
@@ -1095,71 +1311,131 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
         arrival times of people to a business on each day of the month or the
         date of hurricanes each year of the last century.
 
-        *orientation* : [ 'horizonal' | 'vertical' ]
-          'horizonal' : the lines will be vertical and arranged in rows
-          "vertical' : lines will be horizontal and arranged in columns
+        Parameters
+        ----------
+        positions : array-like or list of array-like
+            A 1D array-like defines the positions of one sequence of events.
+
+            Multiple groups of events may be passed as a list of array-likes.
+            Each group can be styled independently by passing lists of values
+            to *lineoffsets*, *linelengths*, *linewidths*, *colors* and
+            *linestyles*.
+
+            Note that *positions* can be a 2D array, but in practice different
+            event groups usually have different counts so that one will use a
+            list of different-length arrays rather than a 2D array.
+
+        orientation : {'horizontal', 'vertical'}, default: 'horizontal'
+            The direction of the event sequence:
+
+            - 'horizontal': the events are arranged horizontally.
+              The indicator lines are vertical.
+            - 'vertical': the events are arranged vertically.
+              The indicator lines are horizontal.
+
+        lineoffsets : float or array-like, default: 1
+            The offset of the center of the lines from the origin, in the
+            direction orthogonal to *orientation*.
 
-        *lineoffsets* :
-          A float or array-like containing floats.
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
 
-        *linelengths* :
-          A float or array-like containing floats.
+        linelengths : float or array-like, default: 1
+            The total height of the lines (i.e. the lines stretches from
+            ``lineoffset - linelength/2`` to ``lineoffset + linelength/2``).
 
-        *linewidths* :
-          A float or array-like containing floats.
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
 
-        *colors*
-          must be a sequence of RGBA tuples (e.g., arbitrary color
-          strings, etc, not allowed) or a list of such sequences
+        linewidths : float or array-like, default: :rc:`lines.linewidth`
+            The line width(s) of the event lines, in points.
 
-        *linestyles* :
-          [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ] or an array of these
-          values
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
 
-        For linelengths, linewidths, colors, and linestyles, if only a single
-        value is given, that value is applied to all lines.  If an array-like
-        is given, it must have the same length as positions, and each value
-        will be applied to the corresponding row or column in positions.
+        colors : :mpltype:`color` or list of color, default: :rc:`lines.color`
+            The color(s) of the event lines.
 
-        Returns a list of :class:`matplotlib.collections.EventCollection`
-        objects that were added.
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
 
-        kwargs are :class:`~matplotlib.collections.LineCollection` properties:
+        alpha : float or array-like, default: 1
+            The alpha blending value(s), between 0 (transparent) and 1
+            (opaque).
 
-        %(LineCollection)s
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
 
-        **Example:**
+        linestyles : str or tuple or list of such values, default: 'solid'
+            Default is 'solid'. Valid strings are ['solid', 'dashed',
+            'dashdot', 'dotted', '-', '--', '-.', ':']. Dash tuples
+            should be of the form::
 
-        .. plot:: mpl_examples/pylab_examples/eventplot_demo.py
+                (offset, onoffseq),
+
+            where *onoffseq* is an even length tuple of on and off ink
+            in points.
+
+            If *positions* is 2D, this can be a sequence with length matching
+            the length of *positions*.
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            Other keyword arguments are line collection properties.  See
+            `.LineCollection` for a list of the valid properties.
+
+        Returns
+        -------
+        list of `.EventCollection`
+            The `.EventCollection` that were added.
+
+        Notes
+        -----
+        For *linelengths*, *linewidths*, *colors*, *alpha* and *linestyles*, if
+        only a single value is given, that value is applied to all lines. If an
+        array-like is given, it must have the same length as *positions*, and
+        each value will be applied to the corresponding row of the array.
+
+        Examples
+        --------
+        .. plot:: gallery/lines_bars_and_markers/eventplot_demo.py
         """
-        self._process_unit_info(xdata=positions,
-                                ydata=[lineoffsets, linelengths],
-                                kwargs=kwargs)
 
-        # We do the conversion first since not all unitized data is uniform
-        positions = self.convert_xunits(positions)
-        lineoffsets = self.convert_yunits(lineoffsets)
-        linelengths = self.convert_yunits(linelengths)
+        lineoffsets, linelengths = self._process_unit_info(
+                [("y", lineoffsets), ("y", linelengths)], kwargs)
 
-        if not iterable(positions):
+        # fix positions, noting that it can be a list of lists:
+        if not np.iterable(positions):
             positions = [positions]
-        elif any(iterable(position) for position in positions):
+        elif any(np.iterable(position) for position in positions):
             positions = [np.asanyarray(position) for position in positions]
         else:
             positions = [np.asanyarray(positions)]
 
-        if len(positions) == 0:
-            return []
+        poss = []
+        for position in positions:
+            poss += self._process_unit_info([("x", position)], kwargs)
+        positions = poss
+
+        # prevent 'singular' keys from **kwargs dict from overriding the effect
+        # of 'plural' keyword arguments (e.g. 'color' overriding 'colors')
+        colors = cbook._local_over_kwdict(colors, kwargs, 'color')
+        linewidths = cbook._local_over_kwdict(linewidths, kwargs, 'linewidth')
+        linestyles = cbook._local_over_kwdict(linestyles, kwargs, 'linestyle')
 
-        if not iterable(lineoffsets):
+        if not np.iterable(lineoffsets):
             lineoffsets = [lineoffsets]
-        if not iterable(linelengths):
+        if not np.iterable(linelengths):
             linelengths = [linelengths]
-        if not iterable(linewidths):
+        if not np.iterable(linewidths):
             linewidths = [linewidths]
-        if not iterable(colors):
+        if not np.iterable(colors):
             colors = [colors]
-        if hasattr(linestyles, 'lower') or not iterable(linestyles):
+        if not np.iterable(alpha):
+            alpha = [alpha]
+        if hasattr(linestyles, 'lower') or not np.iterable(linestyles):
             linestyles = [linestyles]
 
         lineoffsets = np.asarray(lineoffsets)
@@ -1167,15 +1443,26 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
         linewidths = np.asarray(linewidths)
 
         if len(lineoffsets) == 0:
-            lineoffsets = [None]
+            raise ValueError('lineoffsets cannot be empty')
         if len(linelengths) == 0:
-            linelengths = [None]
+            raise ValueError('linelengths cannot be empty')
+        if len(linestyles) == 0:
+            raise ValueError('linestyles cannot be empty')
         if len(linewidths) == 0:
-            lineoffsets = [None]
-        if len(linewidths) == 0:
-            lineoffsets = [None]
+            raise ValueError('linewidths cannot be empty')
+        if len(alpha) == 0:
+            raise ValueError('alpha cannot be empty')
         if len(colors) == 0:
             colors = [None]
+        try:
+            # Early conversion of the colors into RGBA values to take care
+            # of cases like colors='0.5' or colors='C1'.  (Issue #8193)
+            colors = mcolors.to_rgba_array(colors)
+        except ValueError:
+            # Will fail if any element of *colors* is None. But as long
+            # as len(colors) == 1 or len(positions), the rest of the
+            # code should process *colors* properly.
+            pass
 
         if len(lineoffsets) == 1 and len(positions) != 1:
             lineoffsets = np.tile(lineoffsets, len(positions))
@@ -1186,8 +1473,9 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
         if len(linewidths) == 1:
             linewidths = np.tile(linewidths, len(positions))
         if len(colors) == 1:
-            colors = list(colors)
-            colors = colors * len(positions)
+            colors = list(colors) * len(positions)
+        if len(alpha) == 1:
+            alpha = list(alpha) * len(positions)
         if len(linestyles) == 1:
             linestyles = [linestyles] * len(positions)
 
@@ -1203,23 +1491,28 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
         if len(colors) != len(positions):
             raise ValueError('colors and positions are unequal sized '
                              'sequences')
+        if len(alpha) != len(positions):
+            raise ValueError('alpha and positions are unequal sized '
+                             'sequences')
         if len(linestyles) != len(positions):
             raise ValueError('linestyles and positions are unequal sized '
                              'sequences')
 
         colls = []
-        for position, lineoffset, linelength, linewidth, color, linestyle in \
-            zip(positions, lineoffsets, linelengths, linewidths,
-                           colors, linestyles):
+        for position, lineoffset, linelength, linewidth, color, alpha_, \
+            linestyle in \
+                zip(positions, lineoffsets, linelengths, linewidths,
+                    colors, alpha, linestyles):
             coll = mcoll.EventCollection(position,
                                          orientation=orientation,
                                          lineoffset=lineoffset,
                                          linelength=linelength,
                                          linewidth=linewidth,
                                          color=color,
+                                         alpha=alpha_,
                                          linestyle=linestyle)
             self.add_collection(coll, autolim=False)
-            coll.update(kwargs)
+            coll._internal_update(kwargs)
             colls.append(coll)
 
         if len(positions) > 0:
@@ -1235,507 +1528,573 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
                 minline = (lineoffsets - linelengths).min()
                 maxline = (lineoffsets + linelengths).max()
 
-                if colls[0].is_horizontal():
-                    corners = (minpos, minline), (maxpos, maxline)
-                else:
+                if orientation == "vertical":
                     corners = (minline, minpos), (maxline, maxpos)
+                else:  # "horizontal"
+                    corners = (minpos, minline), (maxpos, maxline)
                 self.update_datalim(corners)
-                self.autoscale_view()
+                self._request_autoscale_view()
 
         return colls
 
     #### Basic plotting
-    @docstring.dedent_interpd
-    def plot(self, *args, **kwargs):
-        """
-        Plot lines and/or markers to the
-        :class:`~matplotlib.axes.Axes`.  *args* is a variable length
-        argument, allowing for multiple *x*, *y* pairs with an
-        optional format string.  For example, each of the following is
-        legal::
-
-            plot(x, y)        # plot x and y using default line style and color
-            plot(x, y, 'bo')  # plot x and y using blue circle markers
-            plot(y)           # plot y using x as index array 0..N-1
-            plot(y, 'r+')     # ditto, but with red plusses
-
-        If *x* and/or *y* is 2-dimensional, then the corresponding columns
-        will be plotted.
-
-        An arbitrary number of *x*, *y*, *fmt* groups can be
-        specified, as in::
-
-            a.plot(x1, y1, 'g^', x2, y2, 'g-')
-
-        Return value is a list of lines that were added.
-
-        By default, each line is assigned a different color specified by a
-        'color cycle'.  To change this behavior, you can edit the
-        axes.color_cycle rcParam.
-
-        The following format string characters are accepted to control
-        the line style or marker:
-
-        ================    ===============================
-        character           description
-        ================    ===============================
-        ``'-'``             solid line style
-        ``'--'``            dashed line style
-        ``'-.'``            dash-dot line style
-        ``':'``             dotted line style
-        ``'.'``             point marker
-        ``','``             pixel marker
-        ``'o'``             circle marker
-        ``'v'``             triangle_down marker
-        ``'^'``             triangle_up marker
-        ``'<'``             triangle_left marker
-        ``'>'``             triangle_right marker
-        ``'1'``             tri_down marker
-        ``'2'``             tri_up marker
-        ``'3'``             tri_left marker
-        ``'4'``             tri_right marker
-        ``'s'``             square marker
-        ``'p'``             pentagon marker
-        ``'*'``             star marker
-        ``'h'``             hexagon1 marker
-        ``'H'``             hexagon2 marker
-        ``'+'``             plus marker
-        ``'x'``             x marker
-        ``'D'``             diamond marker
-        ``'d'``             thin_diamond marker
-        ``'|'``             vline marker
-        ``'_'``             hline marker
-        ================    ===============================
-
-
-        The following color abbreviations are supported:
-
-        ==========  ========
-        character   color
-        ==========  ========
-        'b'         blue
-        'g'         green
-        'r'         red
-        'c'         cyan
-        'm'         magenta
-        'y'         yellow
-        'k'         black
-        'w'         white
-        ==========  ========
-
-        In addition, you can specify colors in many weird and
-        wonderful ways, including full names (``'green'``), hex
-        strings (``'#008000'``), RGB or RGBA tuples (``(0,1,0,1)``) or
-        grayscale intensities as a string (``'0.8'``).  Of these, the
-        string specifications can be used in place of a ``fmt`` group,
-        but the tuple forms can be used only as ``kwargs``.
-
-        Line styles and colors are combined in a single format string, as in
-        ``'bo'`` for blue circles.
-
-        The *kwargs* can be used to set line properties (any property that has
-        a ``set_*`` method).  You can use this to set a line label (for auto
-        legends), linewidth, anitialising, marker face color, etc.  Here is an
-        example::
-
-            plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)
-            plot([1,2,3], [1,4,9], 'rs',  label='line 2')
-            axis([0, 4, 0, 10])
-            legend()
 
-        If you make multiple lines with one plot command, the kwargs
-        apply to all those lines, e.g.::
+    # Uses a custom implementation of data-kwarg handling in
+    # _process_plot_var_args.
+    @_docstring.interpd
+    def plot(self, *args, scalex=True, scaley=True, data=None, **kwargs):
+        """
+        Plot y versus x as lines and/or markers.
 
-            plot(x1, y1, x2, y2, antialised=False)
+        Call signatures::
 
-        Neither line will be antialiased.
+            plot([x], y, [fmt], *, data=None, **kwargs)
+            plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
 
-        You do not need to use format strings, which are just
-        abbreviations.  All of the line properties can be controlled
-        by keyword arguments.  For example, you can set the color,
-        marker, linestyle, and markercolor with::
+        The coordinates of the points or line nodes are given by *x*, *y*.
 
-            plot(x, y, color='green', linestyle='dashed', marker='o',
-                 markerfacecolor='blue', markersize=12).
+        The optional parameter *fmt* is a convenient way for defining basic
+        formatting like color, marker and linestyle. It's a shortcut string
+        notation described in the *Notes* section below.
 
-        See :class:`~matplotlib.lines.Line2D` for details.
+        >>> plot(x, y)        # plot x and y using default line style and color
+        >>> plot(x, y, 'bo')  # plot x and y using blue circle markers
+        >>> plot(y)           # plot y using x as index array 0..N-1
+        >>> plot(y, 'r+')     # ditto, but with red plusses
 
-        The kwargs are :class:`~matplotlib.lines.Line2D` properties:
+        You can use `.Line2D` properties as keyword arguments for more
+        control on the appearance. Line properties and *fmt* can be mixed.
+        The following two calls yield identical results:
 
-        %(Line2D)s
+        >>> plot(x, y, 'go--', linewidth=2, markersize=12)
+        >>> plot(x, y, color='green', marker='o', linestyle='dashed',
+        ...      linewidth=2, markersize=12)
 
-        kwargs *scalex* and *scaley*, if defined, are passed on to
-        :meth:`~matplotlib.axes.Axes.autoscale_view` to determine
-        whether the *x* and *y* axes are autoscaled; the default is
-        *True*.
-        """
-        scalex = kwargs.pop('scalex', True)
-        scaley = kwargs.pop('scaley', True)
+        When conflicting with *fmt*, keyword arguments take precedence.
 
-        if not self._hold:
-            self.cla()
-        lines = []
 
-        for line in self._get_lines(*args, **kwargs):
-            self.add_line(line)
-            lines.append(line)
+        **Plotting labelled data**
 
-        self.autoscale_view(scalex=scalex, scaley=scaley)
-        return lines
+        There's a convenient way for plotting objects with labelled data (i.e.
+        data that can be accessed by index ``obj['y']``). Instead of giving
+        the data in *x* and *y*, you can provide the object in the *data*
+        parameter and just give the labels for *x* and *y*::
 
-    @docstring.dedent_interpd
-    def plot_date(self, x, y, fmt='o', tz=None, xdate=True, ydate=False,
-                  **kwargs):
-        """
-        Plot with data with dates.
+        >>> plot('xlabel', 'ylabel', data=obj)
 
-        Call signature::
+        All indexable objects are supported. This could e.g. be a `dict`, a
+        `pandas.DataFrame` or a structured numpy array.
 
-           plot_date(x, y, fmt='bo', tz=None, xdate=True,
-                     ydate=False, **kwargs)
 
-        Similar to the :func:`~matplotlib.pyplot.plot` command, except
-        the *x* or *y* (or both) data is considered to be dates, and the
-        axis is labeled accordingly.
+        **Plotting multiple sets of data**
 
-        *x* and/or *y* can be a sequence of dates represented as float
-        days since 0001-01-01 UTC.
+        There are various ways to plot multiple sets of data.
 
-        Keyword arguments:
+        - The most straight forward way is just to call `plot` multiple times.
+          Example:
 
-          *fmt*: string
-            The plot format string.
+          >>> plot(x1, y1, 'bo')
+          >>> plot(x2, y2, 'go')
 
-          *tz*: [ *None* | timezone string | :class:`tzinfo` instance]
-            The time zone to use in labeling dates. If *None*, defaults to rc
-            value.
+        - If *x* and/or *y* are 2D arrays, a separate data set will be drawn
+          for every column. If both *x* and *y* are 2D, they must have the
+          same shape. If only one of them is 2D with shape (N, m) the other
+          must have length N and will be used for every data set m.
 
-          *xdate*: [ *True* | *False* ]
-            If *True*, the *x*-axis will be labeled with dates.
+          Example:
 
-          *ydate*: [ *False* | *True* ]
-            If *True*, the *y*-axis will be labeled with dates.
+          >>> x = [1, 2, 3]
+          >>> y = np.array([[1, 2], [3, 4], [5, 6]])
+          >>> plot(x, y)
 
-        Note if you are using custom date tickers and formatters, it
-        may be necessary to set the formatters/locators after the call
-        to :meth:`plot_date` since :meth:`plot_date` will set the
-        default tick locator to
-        :class:`matplotlib.dates.AutoDateLocator` (if the tick
-        locator is not already set to a
-        :class:`matplotlib.dates.DateLocator` instance) and the
-        default tick formatter to
-        :class:`matplotlib.dates.AutoDateFormatter` (if the tick
-        formatter is not already set to a
-        :class:`matplotlib.dates.DateFormatter` instance).
+          is equivalent to:
 
-        Valid kwargs are :class:`~matplotlib.lines.Line2D` properties:
+          >>> for col in range(y.shape[1]):
+          ...     plot(x, y[:, col])
 
-        %(Line2D)s
+        - The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*
+          groups::
 
-        .. seealso::
+          >>> plot(x1, y1, 'g^', x2, y2, 'g-')
 
-           :mod:`~matplotlib.dates` for helper functions
+          In this case, any additional keyword argument applies to all
+          datasets. Also, this syntax cannot be combined with the *data*
+          parameter.
 
-           :func:`~matplotlib.dates.date2num`,
-           :func:`~matplotlib.dates.num2date` and
-           :func:`~matplotlib.dates.drange` for help on creating the required
-           floating point dates.
-        """
+        By default, each line is assigned a different style specified by a
+        'style cycle'. The *fmt* and line property parameters are only
+        necessary if you want explicit deviations from these defaults.
+        Alternatively, you can also change the style cycle using
+        :rc:`axes.prop_cycle`.
 
-        if not self._hold:
-            self.cla()
 
-        ret = self.plot(x, y, fmt, **kwargs)
+        Parameters
+        ----------
+        x, y : array-like or float
+            The horizontal / vertical coordinates of the data points.
+            *x* values are optional and default to ``range(len(y))``.
 
-        if xdate:
-            self.xaxis_date(tz)
-        if ydate:
-            self.yaxis_date(tz)
+            Commonly, these parameters are 1D arrays.
 
-        self.autoscale_view()
+            They can also be scalars, or two-dimensional (in that case, the
+            columns represent separate data sets).
 
-        return ret
+            These arguments cannot be passed as keywords.
 
-    @docstring.dedent_interpd
-    def loglog(self, *args, **kwargs):
-        """
-        Make a plot with log scaling on both the *x* and *y* axis.
+        fmt : str, optional
+            A format string, e.g. 'ro' for red circles. See the *Notes*
+            section for a full description of the format strings.
 
-        Call signature::
+            Format strings are just an abbreviation for quickly setting
+            basic line properties. All of these and more can also be
+            controlled by keyword arguments.
 
-          loglog(*args, **kwargs)
+            This argument cannot be passed as keyword.
 
-        :func:`~matplotlib.pyplot.loglog` supports all the keyword
-        arguments of :func:`~matplotlib.pyplot.plot` and
-        :meth:`matplotlib.axes.Axes.set_xscale` /
-        :meth:`matplotlib.axes.Axes.set_yscale`.
+        data : indexable object, optional
+            An object with labelled data. If given, provide the label names to
+            plot in *x* and *y*.
 
-        Notable keyword arguments:
+            .. note::
+                Technically there's a slight ambiguity in calls where the
+                second label is a valid *fmt*. ``plot('n', 'o', data=obj)``
+                could be ``plt(x, y)`` or ``plt(y, fmt)``. In such cases,
+                the former interpretation is chosen, but a warning is issued.
+                You may suppress the warning by adding an empty format string
+                ``plot('n', 'o', '', data=obj)``.
 
-          *basex*/*basey*: scalar > 1
-            Base of the *x*/*y* logarithm
+        Returns
+        -------
+        list of `.Line2D`
+            A list of lines representing the plotted data.
 
-          *subsx*/*subsy*: [ *None* | sequence ]
-            The location of the minor *x*/*y* ticks; *None* defaults
-            to autosubs, which depend on the number of decades in the
-            plot; see :meth:`matplotlib.axes.Axes.set_xscale` /
-            :meth:`matplotlib.axes.Axes.set_yscale` for details
+        Other Parameters
+        ----------------
+        scalex, scaley : bool, default: True
+            These parameters determine if the view limits are adapted to the
+            data limits. The values are passed on to
+            `~.axes.Axes.autoscale_view`.
+
+        **kwargs : `~matplotlib.lines.Line2D` properties, optional
+            *kwargs* are used to specify properties like a line label (for
+            auto legends), linewidth, antialiasing, marker face color.
+            Example::
 
-          *nonposx*/*nonposy*: ['mask' | 'clip' ]
-            Non-positive values in *x* or *y* can be masked as
-            invalid, or clipped to a very small positive number
+            >>> plot([1, 2, 3], [1, 2, 3], 'go-', label='line 1', linewidth=2)
+            >>> plot([1, 2, 3], [1, 4, 9], 'rs', label='line 2')
 
-        The remaining valid kwargs are
-        :class:`~matplotlib.lines.Line2D` properties:
+            If you specify multiple lines with one plot call, the kwargs apply
+            to all those lines. In case the label object is iterable, each
+            element is used as labels for each set of data.
 
-        %(Line2D)s
+            Here is a list of available `.Line2D` properties:
 
-        **Example:**
+            %(Line2D:kwdoc)s
 
-        .. plot:: mpl_examples/pylab_examples/log_demo.py
+        See Also
+        --------
+        scatter : XY scatter plot with markers of varying size and/or color (
+            sometimes also called bubble chart).
 
+        Notes
+        -----
+        **Format Strings**
+
+        A format string consists of a part for color, marker and line::
+
+            fmt = '[marker][line][color]'
+
+        Each of them is optional. If not provided, the value from the style
+        cycle is used. Exception: If ``line`` is given, but no ``marker``,
+        the data will be a line without markers.
+
+        Other combinations such as ``[color][marker][line]`` are also
+        supported, but note that their parsing may be ambiguous.
+
+        **Markers**
+
+        =============   ===============================
+        character       description
+        =============   ===============================
+        ``'.'``         point marker
+        ``','``         pixel marker
+        ``'o'``         circle marker
+        ``'v'``         triangle_down marker
+        ``'^'``         triangle_up marker
+        ``'<'``         triangle_left marker
+        ``'>'``         triangle_right marker
+        ``'1'``         tri_down marker
+        ``'2'``         tri_up marker
+        ``'3'``         tri_left marker
+        ``'4'``         tri_right marker
+        ``'8'``         octagon marker
+        ``'s'``         square marker
+        ``'p'``         pentagon marker
+        ``'P'``         plus (filled) marker
+        ``'*'``         star marker
+        ``'h'``         hexagon1 marker
+        ``'H'``         hexagon2 marker
+        ``'+'``         plus marker
+        ``'x'``         x marker
+        ``'X'``         x (filled) marker
+        ``'D'``         diamond marker
+        ``'d'``         thin_diamond marker
+        ``'|'``         vline marker
+        ``'_'``         hline marker
+        =============   ===============================
+
+        **Line Styles**
+
+        =============    ===============================
+        character        description
+        =============    ===============================
+        ``'-'``          solid line style
+        ``'--'``         dashed line style
+        ``'-.'``         dash-dot line style
+        ``':'``          dotted line style
+        =============    ===============================
+
+        Example format strings::
+
+            'b'    # blue markers with default shape
+            'or'   # red circles
+            '-g'   # green solid line
+            '--'   # dashed line with default color
+            '^k:'  # black triangle_up markers connected by a dotted line
+
+        **Colors**
+
+        The supported color abbreviations are the single letter codes
+
+        =============    ===============================
+        character        color
+        =============    ===============================
+        ``'b'``          blue
+        ``'g'``          green
+        ``'r'``          red
+        ``'c'``          cyan
+        ``'m'``          magenta
+        ``'y'``          yellow
+        ``'k'``          black
+        ``'w'``          white
+        =============    ===============================
+
+        and the ``'CN'`` colors that index into the default property cycle.
+
+        If the color is the only part of the format string, you can
+        additionally use any  `matplotlib.colors` spec, e.g. full names
+        (``'green'``) or hex strings (``'#008000'``).
         """
-        if not self._hold:
-            self.cla()
+        kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
+        lines = [*self._get_lines(self, *args, data=data, **kwargs)]
+        for line in lines:
+            self.add_line(line)
+        if scalex:
+            self._request_autoscale_view("x")
+        if scaley:
+            self._request_autoscale_view("y")
+        return lines
 
-        dx = {'basex': kwargs.pop('basex', 10),
-              'subsx': kwargs.pop('subsx', None),
-              'nonposx': kwargs.pop('nonposx', 'mask'),
-              }
-        dy = {'basey': kwargs.pop('basey', 10),
-              'subsy': kwargs.pop('subsy', None),
-              'nonposy': kwargs.pop('nonposy', 'mask'),
-              }
+    # @_preprocess_data() # let 'plot' do the unpacking..
+    @_docstring.interpd
+    def loglog(self, *args, **kwargs):
+        """
+        Make a plot with log scaling on both the x- and y-axis.
 
-        self.set_xscale('log', **dx)
-        self.set_yscale('log', **dy)
+        Call signatures::
 
-        b = self._hold
-        self._hold = True  # we've already processed the hold
-        l = self.plot(*args, **kwargs)
-        self._hold = b  # restore the hold
+            loglog([x], y, [fmt], data=None, **kwargs)
+            loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
 
-        return l
+        This is just a thin wrapper around `.plot` which additionally changes
+        both the x-axis and the y-axis to log scaling. All the concepts and
+        parameters of plot can be used here as well.
 
-    @docstring.dedent_interpd
-    def semilogx(self, *args, **kwargs):
-        """
-        Make a plot with log scaling on the *x* axis.
+        The additional parameters *base*, *subs* and *nonpositive* control the
+        x/y-axis properties. They are just forwarded to `.Axes.set_xscale` and
+        `.Axes.set_yscale`. To use different properties on the x-axis and the
+        y-axis, use e.g.
+        ``ax.set_xscale("log", base=10); ax.set_yscale("log", base=2)``.
 
-        Call signature::
+        Parameters
+        ----------
+        base : float, default: 10
+            Base of the logarithm.
 
-          semilogx(*args, **kwargs)
+        subs : sequence, optional
+            The location of the minor ticks. If *None*, reasonable locations
+            are automatically chosen depending on the number of decades in the
+            plot. See `.Axes.set_xscale`/`.Axes.set_yscale` for details.
 
-        :func:`semilogx` supports all the keyword arguments of
-        :func:`~matplotlib.pyplot.plot` and
-        :meth:`matplotlib.axes.Axes.set_xscale`.
+        nonpositive : {'mask', 'clip'}, default: 'clip'
+            Non-positive values can be masked as invalid, or clipped to a very
+            small positive number.
 
-        Notable keyword arguments:
+        **kwargs
+            All parameters supported by `.plot`.
 
-          *basex*: scalar > 1
-            Base of the *x* logarithm
+        Returns
+        -------
+        list of `.Line2D`
+            Objects representing the plotted data.
+        """
+        dx = {k: v for k, v in kwargs.items()
+              if k in ['base', 'subs', 'nonpositive',
+                       'basex', 'subsx', 'nonposx']}
+        self.set_xscale('log', **dx)
+        dy = {k: v for k, v in kwargs.items()
+              if k in ['base', 'subs', 'nonpositive',
+                       'basey', 'subsy', 'nonposy']}
+        self.set_yscale('log', **dy)
+        return self.plot(
+            *args, **{k: v for k, v in kwargs.items() if k not in {*dx, *dy}})
 
-          *subsx*: [ *None* | sequence ]
-            The location of the minor xticks; *None* defaults to
-            autosubs, which depend on the number of decades in the
-            plot; see :meth:`~matplotlib.axes.Axes.set_xscale` for
-            details.
+    # @_preprocess_data() # let 'plot' do the unpacking..
+    @_docstring.interpd
+    def semilogx(self, *args, **kwargs):
+        """
+        Make a plot with log scaling on the x-axis.
 
-          *nonposx*: [ 'mask' | 'clip' ]
-            Non-positive values in *x* can be masked as
-            invalid, or clipped to a very small positive number
+        Call signatures::
 
-        The remaining valid kwargs are
-        :class:`~matplotlib.lines.Line2D` properties:
+            semilogx([x], y, [fmt], data=None, **kwargs)
+            semilogx([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
 
-        %(Line2D)s
+        This is just a thin wrapper around `.plot` which additionally changes
+        the x-axis to log scaling. All the concepts and parameters of plot can
+        be used here as well.
 
-        .. seealso::
+        The additional parameters *base*, *subs*, and *nonpositive* control the
+        x-axis properties. They are just forwarded to `.Axes.set_xscale`.
 
-            :meth:`loglog`
-                For example code and figure
-        """
-        if not self._hold:
-            self.cla()
-        d = {'basex': kwargs.pop('basex', 10),
-             'subsx': kwargs.pop('subsx', None),
-             'nonposx': kwargs.pop('nonposx', 'mask'),
-             }
+        Parameters
+        ----------
+        base : float, default: 10
+            Base of the x logarithm.
+
+        subs : array-like, optional
+            The location of the minor xticks. If *None*, reasonable locations
+            are automatically chosen depending on the number of decades in the
+            plot. See `.Axes.set_xscale` for details.
 
+        nonpositive : {'mask', 'clip'}, default: 'clip'
+            Non-positive values in x can be masked as invalid, or clipped to a
+            very small positive number.
+
+        **kwargs
+            All parameters supported by `.plot`.
+
+        Returns
+        -------
+        list of `.Line2D`
+            Objects representing the plotted data.
+        """
+        d = {k: v for k, v in kwargs.items()
+             if k in ['base', 'subs', 'nonpositive',
+                      'basex', 'subsx', 'nonposx']}
         self.set_xscale('log', **d)
-        b = self._hold
-        self._hold = True  # we've already processed the hold
-        l = self.plot(*args, **kwargs)
-        self._hold = b  # restore the hold
-        return l
+        return self.plot(
+            *args, **{k: v for k, v in kwargs.items() if k not in d})
 
-    @docstring.dedent_interpd
+    # @_preprocess_data() # let 'plot' do the unpacking..
+    @_docstring.interpd
     def semilogy(self, *args, **kwargs):
         """
-        Make a plot with log scaling on the *y* axis.
+        Make a plot with log scaling on the y-axis.
 
-        call signature::
-
-          semilogy(*args, **kwargs)
-
-        :func:`semilogy` supports all the keyword arguments of
-        :func:`~matplotlib.pylab.plot` and
-        :meth:`matplotlib.axes.Axes.set_yscale`.
+        Call signatures::
 
-        Notable keyword arguments:
+            semilogy([x], y, [fmt], data=None, **kwargs)
+            semilogy([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
 
-          *basey*: scalar > 1
-            Base of the *y* logarithm
+        This is just a thin wrapper around `.plot` which additionally changes
+        the y-axis to log scaling. All the concepts and parameters of plot can
+        be used here as well.
 
-          *subsy*: [ *None* | sequence ]
-            The location of the minor yticks; *None* defaults to
-            autosubs, which depend on the number of decades in the
-            plot; see :meth:`~matplotlib.axes.Axes.set_yscale` for
-            details.
+        The additional parameters *base*, *subs*, and *nonpositive* control the
+        y-axis properties. They are just forwarded to `.Axes.set_yscale`.
 
-          *nonposy*: [ 'mask' | 'clip' ]
-            Non-positive values in *y* can be masked as
-            invalid, or clipped to a very small positive number
+        Parameters
+        ----------
+        base : float, default: 10
+            Base of the y logarithm.
 
-        The remaining valid kwargs are
-        :class:`~matplotlib.lines.Line2D` properties:
+        subs : array-like, optional
+            The location of the minor yticks. If *None*, reasonable locations
+            are automatically chosen depending on the number of decades in the
+            plot. See `.Axes.set_yscale` for details.
 
-        %(Line2D)s
+        nonpositive : {'mask', 'clip'}, default: 'clip'
+            Non-positive values in y can be masked as invalid, or clipped to a
+            very small positive number.
 
-        .. seealso::
+        **kwargs
+            All parameters supported by `.plot`.
 
-            :meth:`loglog`
-                For example code and figure
+        Returns
+        -------
+        list of `.Line2D`
+            Objects representing the plotted data.
         """
-        if not self._hold:
-            self.cla()
-        d = {'basey': kwargs.pop('basey', 10),
-             'subsy': kwargs.pop('subsy', None),
-             'nonposy': kwargs.pop('nonposy', 'mask'),
-             }
+        d = {k: v for k, v in kwargs.items()
+             if k in ['base', 'subs', 'nonpositive',
+                      'basey', 'subsy', 'nonposy']}
         self.set_yscale('log', **d)
-        b = self._hold
-        self._hold = True  # we've already processed the hold
-        l = self.plot(*args, **kwargs)
-        self._hold = b  # restore the hold
+        return self.plot(
+            *args, **{k: v for k, v in kwargs.items() if k not in d})
 
-        return l
-
-    @docstring.dedent_interpd
+    @_preprocess_data(replace_names=["x"], label_namer="x")
     def acorr(self, x, **kwargs):
         """
-        Plot the autocorrelation of `x`.
+        Plot the autocorrelation of *x*.
 
         Parameters
         ----------
+        x : array-like
+            Not run through Matplotlib's unit conversion, so this should
+            be a unit-less array.
 
-        x : sequence of scalar
+        detrend : callable, default: `.mlab.detrend_none` (no detrending)
+            A detrending function applied to *x*.  It must have the
+            signature ::
 
-        hold : boolean, optional, default: True
+                detrend(x: np.ndarray) -> np.ndarray
 
-        detrend : callable, optional, default: `mlab.detrend_none`
-            x is detrended by the `detrend` callable. Default is no
-            normalization.
+        normed : bool, default: True
+            If ``True``, input vectors are normalised to unit length.
 
-        normed : boolean, optional, default: True
-            if True, normalize the data by the autocorrelation at the 0-th
-            lag.
+        usevlines : bool, default: True
+            Determines the plot style.
 
-        usevlines : boolean, optional, default: True
-            if True, Axes.vlines is used to plot the vertical lines from the
-            origin to the acorr. Otherwise, Axes.plot is used.
+            If ``True``, vertical lines are plotted from 0 to the acorr value
+            using `.Axes.vlines`. Additionally, a horizontal line is plotted
+            at y=0 using `.Axes.axhline`.
 
-        maxlags : integer, optional, default: 10
-            number of lags to show. If None, will return all 2 * len(x) - 1
-            lags.
+            If ``False``, markers are plotted at the acorr values using
+            `.Axes.plot`.
+
+        maxlags : int, default: 10
+            Number of lags to show. If ``None``, will return all
+            ``2 * len(x) - 1`` lags.
 
         Returns
         -------
-        (lags, c, line, b) : where:
+        lags : array (length ``2*maxlags+1``)
+            The lag vector.
+        c : array  (length ``2*maxlags+1``)
+            The auto correlation vector.
+        line : `.LineCollection` or `.Line2D`
+            `.Artist` added to the Axes of the correlation:
+
+            - `.LineCollection` if *usevlines* is True.
+            - `.Line2D` if *usevlines* is False.
+        b : `~matplotlib.lines.Line2D` or None
+            Horizontal line at 0 if *usevlines* is True
+            None *usevlines* is False.
+
+        Other Parameters
+        ----------------
+        linestyle : `~matplotlib.lines.Line2D` property, optional
+            The linestyle for plotting the data points.
+            Only used if *usevlines* is ``False``.
 
-          - `lags` are a length 2`maxlags+1 lag vector.
-          - `c` is the 2`maxlags+1 auto correlation vectorI
-          - `line` is a `~matplotlib.lines.Line2D` instance returned by
-            `plot`.
-          - `b` is the x-axis.
+        marker : str, default: 'o'
+            The marker for plotting the data points.
+            Only used if *usevlines* is ``False``.
 
-        Other parameters
-        -----------------
-        linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
-            Only used if usevlines is False.
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        marker : string, optional, default: 'o'
+        **kwargs
+            Additional parameters are passed to `.Axes.vlines` and
+            `.Axes.axhline` if *usevlines* is ``True``; otherwise they are
+            passed to `.Axes.plot`.
 
         Notes
         -----
-        The cross correlation is performed with :func:`numpy.correlate` with
-        `mode` = 2.
-
-        Examples
-        --------
-
-        `~matplotlib.pyplot.xcorr` is top graph, and
-        `~matplotlib.pyplot.acorr` is bottom graph.
-
-        .. plot:: mpl_examples/pylab_examples/xcorr_demo.py
-
+        The cross correlation is performed with `numpy.correlate` with
+        ``mode = "full"``.
         """
         return self.xcorr(x, x, **kwargs)
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "normed")
+    @_preprocess_data(replace_names=["x", "y"], label_namer="y")
     def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
               usevlines=True, maxlags=10, **kwargs):
-        """
+        r"""
         Plot the cross correlation between *x* and *y*.
 
+        The correlation with lag k is defined as
+        :math:`\sum_n x[n+k] \cdot y^*[n]`, where :math:`y^*` is the complex
+        conjugate of :math:`y`.
+
         Parameters
         ----------
+        x, y : array-like of length n
+            Neither *x* nor *y* are run through Matplotlib's unit conversion, so
+            these should be unit-less arrays.
 
-        x : sequence of scalars of length n
+        detrend : callable, default: `.mlab.detrend_none` (no detrending)
+            A detrending function applied to *x* and *y*.  It must have the
+            signature ::
 
-        y : sequence of scalars of length n
+                detrend(x: np.ndarray) -> np.ndarray
 
-        hold : boolean, optional, default: True
+        normed : bool, default: True
+            If ``True``, input vectors are normalised to unit length.
 
-        detrend : callable, optional, default: `mlab.detrend_none`
-            x is detrended by the `detrend` callable. Default is no
-            normalization.
+        usevlines : bool, default: True
+            Determines the plot style.
 
-        normed : boolean, optional, default: True
-            if True, normalize the data by the autocorrelation at the 0-th
-            lag.
+            If ``True``, vertical lines are plotted from 0 to the xcorr value
+            using `.Axes.vlines`. Additionally, a horizontal line is plotted
+            at y=0 using `.Axes.axhline`.
 
-        usevlines : boolean, optional, default: True
-            if True, Axes.vlines is used to plot the vertical lines from the
-            origin to the acorr. Otherwise, Axes.plot is used.
+            If ``False``, markers are plotted at the xcorr values using
+            `.Axes.plot`.
 
-        maxlags : integer, optional, default: 10
-            number of lags to show. If None, will return all 2 * len(x) - 1
+        maxlags : int, default: 10
+            Number of lags to show. If None, will return all ``2 * len(x) - 1``
             lags.
 
         Returns
         -------
-        (lags, c, line, b) : where:
+        lags : array (length ``2*maxlags+1``)
+            The lag vector.
+        c : array  (length ``2*maxlags+1``)
+            The auto correlation vector.
+        line : `.LineCollection` or `.Line2D`
+            `.Artist` added to the Axes of the correlation:
+
+            - `.LineCollection` if *usevlines* is True.
+            - `.Line2D` if *usevlines* is False.
+        b : `~matplotlib.lines.Line2D` or None
+            Horizontal line at 0 if *usevlines* is True
+            None *usevlines* is False.
+
+        Other Parameters
+        ----------------
+        linestyle : `~matplotlib.lines.Line2D` property, optional
+            The linestyle for plotting the data points.
+            Only used if *usevlines* is ``False``.
 
-          - `lags` are a length 2`maxlags+1 lag vector.
-          - `c` is the 2`maxlags+1 auto correlation vectorI
-          - `line` is a `~matplotlib.lines.Line2D` instance returned by
-            `plot`.
-          - `b` is the x-axis (none, if plot is used).
+        marker : str, default: 'o'
+            The marker for plotting the data points.
+            Only used if *usevlines* is ``False``.
 
-        Other parameters
-        -----------------
-        linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
-            Only used if usevlines is False.
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        marker : string, optional, default: 'o'
+        **kwargs
+            Additional parameters are passed to `.Axes.vlines` and
+            `.Axes.axhline` if *usevlines* is ``True``; otherwise they are
+            passed to `.Axes.plot`.
 
         Notes
         -----
-        The cross correlation is performed with :func:`numpy.correlate` with
-        `mode` = 2.
+        The cross correlation is performed with `numpy.correlate` with
+        ``mode = "full"``.
         """
-
         Nx = len(x)
         if Nx != len(y):
             raise ValueError('x and y must be equal length')
@@ -1743,1332 +2102,2344 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
         x = detrend(np.asarray(x))
         y = detrend(np.asarray(y))
 
-        c = np.correlate(x, y, mode=2)
+        correls = np.correlate(x, y, mode="full")
 
         if normed:
-            c /= np.sqrt(np.dot(x, x) * np.dot(y, y))
+            correls = correls / np.sqrt(np.dot(x, x) * np.dot(y, y))
 
         if maxlags is None:
             maxlags = Nx - 1
 
         if maxlags >= Nx or maxlags < 1:
-            raise ValueError('maglags must be None or strictly '
+            raise ValueError('maxlags must be None or strictly '
                              'positive < %d' % Nx)
 
         lags = np.arange(-maxlags, maxlags + 1)
-        c = c[Nx - 1 - maxlags:Nx + maxlags]
+        correls = correls[Nx - 1 - maxlags:Nx + maxlags]
 
         if usevlines:
-            a = self.vlines(lags, [0], c, **kwargs)
+            a = self.vlines(lags, [0], correls, **kwargs)
+            # Make label empty so only vertical lines get a legend entry
+            kwargs.pop('label', '')
             b = self.axhline(**kwargs)
         else:
-
             kwargs.setdefault('marker', 'o')
             kwargs.setdefault('linestyle', 'None')
-            a, = self.plot(lags, c, **kwargs)
+            a, = self.plot(lags, correls, **kwargs)
             b = None
-        return lags, c, a, b
+        return lags, correls, a, b
 
     #### Specialized plotting
 
-    def step(self, x, y, *args, **kwargs):
+    # @_preprocess_data() # let 'plot' do the unpacking..
+    def step(self, x, y, *args, where='pre', data=None, **kwargs):
         """
         Make a step plot.
 
-        Call signature::
+        Call signatures::
+
+            step(x, y, [fmt], *, data=None, where='pre', **kwargs)
+            step(x, y, [fmt], x2, y2, [fmt2], ..., *, where='pre', **kwargs)
+
+        This is just a thin wrapper around `.plot` which changes some
+        formatting options. Most of the concepts and parameters of plot can be
+        used here as well.
 
-          step(x, y, *args, **kwargs)
+        .. note::
+
+            This method uses a standard plot with a step drawstyle: The *x*
+            values are the reference positions and steps extend left/right/both
+            directions depending on *where*.
+
+            For the common case where you know the values and edges of the
+            steps, use `~.Axes.stairs` instead.
+
+        Parameters
+        ----------
+        x : array-like
+            1D sequence of x positions. It is assumed, but not checked, that
+            it is uniformly increasing.
+
+        y : array-like
+            1D sequence of y levels.
 
-        Additional keyword args to :func:`step` are the same as those
-        for :func:`~matplotlib.pyplot.plot`.
+        fmt : str, optional
+            A format string, e.g. 'g' for a green line. See `.plot` for a more
+            detailed description.
 
-        *x* and *y* must be 1-D sequences, and it is assumed, but not checked,
-        that *x* is uniformly increasing.
+            Note: While full format strings are accepted, it is recommended to
+            only specify the color. Line styles are currently ignored (use
+            the keyword argument *linestyle* instead). Markers are accepted
+            and plotted on the given positions, however, this is a rarely
+            needed feature for step plots.
 
-        Keyword arguments:
+        where : {'pre', 'post', 'mid'}, default: 'pre'
+            Define where the steps should be placed:
 
-        *where*: [ 'pre' | 'post' | 'mid'  ]
-          If 'pre', the interval from x[i] to x[i+1] has level y[i+1]
+            - 'pre': The y value is continued constantly to the left from
+              every *x* position, i.e. the interval ``(x[i-1], x[i]]`` has the
+              value ``y[i]``.
+            - 'post': The y value is continued constantly to the right from
+              every *x* position, i.e. the interval ``[x[i], x[i+1])`` has the
+              value ``y[i]``.
+            - 'mid': Steps occur half-way between the *x* positions.
 
-          If 'post', that interval has level y[i]
+        data : indexable object, optional
+            An object with labelled data. If given, provide the label names to
+            plot in *x* and *y*.
 
-          If 'mid', the jumps in *y* occur half-way between the
-          *x*-values.
+        **kwargs
+            Additional parameters are the same as those for `.plot`.
+
+        Returns
+        -------
+        list of `.Line2D`
+            Objects representing the plotted data.
         """
+        _api.check_in_list(('pre', 'post', 'mid'), where=where)
+        kwargs['drawstyle'] = 'steps-' + where
+        return self.plot(x, y, *args, data=data, **kwargs)
 
-        where = kwargs.pop('where', 'pre')
-        if where not in ('pre', 'post', 'mid'):
-            raise ValueError("'where' argument to step must be "
-                             "'pre', 'post' or 'mid'")
-        usr_linestyle = kwargs.pop('linestyle', '')
-        kwargs['linestyle'] = 'steps-' + where + usr_linestyle
+    @staticmethod
+    def _convert_dx(dx, x0, xconv, convert):
+        """
+        Small helper to do logic of width conversion flexibly.
 
-        return self.plot(x, y, *args, **kwargs)
+        *dx* and *x0* have units, but *xconv* has already been converted
+        to unitless (and is an ndarray).  This allows the *dx* to have units
+        that are different from *x0*, but are still accepted by the
+        ``__add__`` operator of *x0*.
+        """
 
-    @docstring.dedent_interpd
-    def bar(self, left, height, width=0.8, bottom=None, **kwargs):
+        # x should be an array...
+        assert type(xconv) is np.ndarray
+
+        if xconv.size == 0:
+            # xconv has already been converted, but maybe empty...
+            return convert(dx)
+
+        try:
+            # attempt to add the width to x0; this works for
+            # datetime+timedelta, for instance
+
+            # only use the first element of x and x0.  This saves
+            # having to be sure addition works across the whole
+            # vector.  This is particularly an issue if
+            # x0 and dx are lists so x0 + dx just concatenates the lists.
+            # We can't just cast x0 and dx to numpy arrays because that
+            # removes the units from unit packages like `pint` that
+            # wrap numpy arrays.
+            try:
+                x0 = cbook._safe_first_finite(x0)
+            except (TypeError, IndexError, KeyError):
+                pass
+
+            try:
+                x = cbook._safe_first_finite(xconv)
+            except (TypeError, IndexError, KeyError):
+                x = xconv
+
+            delist = False
+            if not np.iterable(dx):
+                dx = [dx]
+                delist = True
+            dx = [convert(x0 + ddx) - x for ddx in dx]
+            if delist:
+                dx = dx[0]
+        except (ValueError, TypeError, AttributeError):
+            # if the above fails (for any reason) just fallback to what
+            # we do by default and convert dx by itself.
+            dx = convert(dx)
+        return dx
+
+    def _parse_bar_color_args(self, kwargs):
         """
-        Make a bar plot.
+        Helper function to process color-related arguments of `.Axes.bar`.
+
+        Argument precedence for facecolors:
+
+        - kwargs['facecolor']
+        - kwargs['color']
+        - 'Result of ``self._get_patches_for_fill.get_next_color``
 
-        Make a bar plot with rectangles bounded by:
+        Argument precedence for edgecolors:
 
-          `left`, `left` + `width`, `bottom`, `bottom` + `height`
-                (left, right, bottom and top edges)
+        - kwargs['edgecolor']
+        - None
 
         Parameters
         ----------
-        left : sequence of scalars
-            the x coordinates of the left sides of the bars
+        self : Axes
 
-        height : sequence of scalars
-            the heights of the bars
+        kwargs : dict
+            Additional kwargs. If these keys exist, we pop and process them:
+            'facecolor', 'edgecolor', 'color'
+            Note: The dict is modified by this function.
 
-        width : scalar or array-like, optional, default: 0.8
-            the width(s) of the bars
 
-        bottom : scalar or array-like, optional, default: None
-            the y coordinate(s) of the bars
+        Returns
+        -------
+        facecolor
+            The facecolor. One or more colors as (N, 4) rgba array.
+        edgecolor
+            The edgecolor. Not normalized; may be any valid color spec or None.
+        """
+        color = kwargs.pop('color', None)
 
-        color : scalar or array-like, optional
-            the colors of the bar faces
+        facecolor = kwargs.pop('facecolor', color)
+        edgecolor = kwargs.pop('edgecolor', None)
 
-        edgecolor : scalar or array-like, optional
-            the colors of the bar edges
+        facecolor = (facecolor if facecolor is not None
+                     else self._get_patches_for_fill.get_next_color())
 
-        linewidth : scalar or array-like, optional, default: None
-            width of bar edge(s). If None, use default
-            linewidth; If 0, don't draw edges.
+        try:
+            facecolor = mcolors.to_rgba_array(facecolor)
+        except ValueError as err:
+            raise ValueError(
+                "'facecolor' or 'color' argument must be a valid color or"
+                    "sequence of colors."
+            ) from err
+
+        return facecolor, edgecolor
 
-        xerr : scalar or array-like, optional, default: None
-            if not None, will be used to generate errorbar(s) on the bar chart
+    @_preprocess_data()
+    @_docstring.interpd
+    def bar(self, x, height, width=0.8, bottom=None, *, align="center",
+            **kwargs):
+        r"""
+        Make a bar plot.
 
-        yerr : scalar or array-like, optional, default: None
-            if not None, will be used to generate errorbar(s) on the bar chart
+        The bars are positioned at *x* with the given *align*\ment. Their
+        dimensions are given by *height* and *width*. The vertical baseline
+        is *bottom* (default 0).
 
-        ecolor : scalar or array-like, optional, default: None
-            specifies the color of errorbar(s)
+        Many parameters can take either a single value applying to all bars
+        or a sequence of values, one for each bar.
+
+        Parameters
+        ----------
+        x : float or array-like
+            The x coordinates of the bars. See also *align* for the
+            alignment of the bars to the coordinates.
 
-        capsize : integer, optional, default: 3
-           determines the length in points of the error bar caps
+            Bars are often used for categorical data, i.e. string labels below
+            the bars. You can provide a list of strings directly to *x*.
+            ``bar(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
+            convenient notation compared to
+            ``bar(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
+            equivalent as long as the names are unique. The explicit *tick_label*
+            notation draws the names in the sequence given. However, when having
+            duplicate values in categorical *x* data, these values map to the same
+            numerical x coordinate, and hence the corresponding bars are drawn on
+            top of each other.
 
-        error_kw :
-            dictionary of kwargs to be passed to errorbar method. *ecolor* and
-            *capsize* may be specified here rather than as independent kwargs.
+        height : float or array-like
+            The height(s) of the bars.
 
-        align : ['edge' | 'center'], optional, default: 'edge'
-            If `edge`, aligns bars by their left edges (for vertical bars) and
-            by their bottom edges (for horizontal bars). If `center`, interpret
-            the `left` argument as the coordinates of the centers of the bars.
+            Note that if *bottom* has units (e.g. datetime), *height* should be in
+            units that are a difference from the value of *bottom* (e.g. timedelta).
 
-        orientation : 'vertical' | 'horizontal', optional, default: 'vertical'
-            The orientation of the bars.
+        width : float or array-like, default: 0.8
+            The width(s) of the bars.
 
-        log : boolean, optional, default: False
-            If true, sets the axis to be log scale
+            Note that if *x* has units (e.g. datetime), then *width* should be in
+            units that are a difference (e.g. timedelta) around the *x* values.
+
+        bottom : float or array-like, default: 0
+            The y coordinate(s) of the bottom side(s) of the bars.
+
+            Note that if *bottom* has units, then the y-axis will get a Locator and
+            Formatter appropriate for the units (e.g. dates, or categorical).
+
+        align : {'center', 'edge'}, default: 'center'
+            Alignment of the bars to the *x* coordinates:
+
+            - 'center': Center the base on the *x* positions.
+            - 'edge': Align the left edges of the bars with the *x* positions.
+
+            To align the bars on the right edge pass a negative *width* and
+            ``align='edge'``.
 
         Returns
         -------
-        `matplotlib.patches.Rectangle` instances.
+        `.BarContainer`
+            Container with all the bars and optionally errorbars.
 
-        Notes
-        -----
-        The optional arguments `color`, `edgecolor`, `linewidth`,
-        `xerr`, and `yerr` can be either scalars or sequences of
-        length equal to the number of bars.  This enables you to use
-        bar as the basis for stacked bar charts, or candlestick plots.
-        Detail: `xerr` and `yerr` are passed directly to
-        :meth:`errorbar`, so they can also have shape 2xN for
-        independent specification of lower and upper errors.
+        Other Parameters
+        ----------------
+        color : :mpltype:`color` or list of :mpltype:`color`, optional
+            The colors of the bar faces. This is an alias for *facecolor*.
+            If both are given, *facecolor* takes precedence.
 
-        Other optional kwargs:
+        facecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            The colors of the bar faces.
+            If both *color* and *facecolor are given, *facecolor* takes precedence.
 
-        %(Rectangle)s
+        edgecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            The colors of the bar edges.
 
-        See also
-        --------
-        barh: Plot a horizontal bar plot.
+        linewidth : float or array-like, optional
+            Width of the bar edge(s). If 0, don't draw edges.
 
-        Examples
-        --------
+        tick_label : str or list of str, optional
+            The tick labels of the bars.
+            Default: None (Use default numeric labels.)
+
+        label : str or list of str, optional
+            A single label is attached to the resulting `.BarContainer` as a
+            label for the whole dataset.
+            If a list is provided, it must be the same length as *x* and
+            labels the individual bars. Repeated labels are not de-duplicated
+            and will cause repeated label entries, so this is best used when
+            bars also differ in style (e.g., by passing a list to *color*.)
+
+        xerr, yerr : float or array-like of shape(N,) or shape(2, N), optional
+            If not *None*, add horizontal / vertical errorbars to the bar tips.
+            The values are +/- sizes relative to the data:
+
+            - scalar: symmetric +/- values for all bars
+            - shape(N,): symmetric +/- values for each bar
+            - shape(2, N): Separate - and + values for each bar. First row
+              contains the lower errors, the second row contains the upper
+              errors.
+            - *None*: No errorbar. (Default)
+
+            See :doc:`/gallery/statistics/errorbar_features` for an example on
+            the usage of *xerr* and *yerr*.
+
+        ecolor : :mpltype:`color` or list of :mpltype:`color`, default: 'black'
+            The line color of the errorbars.
+
+        capsize : float, default: :rc:`errorbar.capsize`
+           The length of the error bar caps in points.
+
+        error_kw : dict, optional
+            Dictionary of keyword arguments to be passed to the
+            `~.Axes.errorbar` method. Values of *ecolor* or *capsize* defined
+            here take precedence over the independent keyword arguments.
 
-        **Example:** A stacked bar chart.
+        log : bool, default: False
+            If *True*, set the y-axis to be log scale.
 
-        .. plot:: mpl_examples/pylab_examples/bar_stacked.py
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs : `.Rectangle` properties
+
+        %(Rectangle:kwdoc)s
+
+        See Also
+        --------
+        barh : Plot a horizontal bar plot.
+        grouped_bar : Plot multiple datasets as grouped bar plot.
+
+        Notes
+        -----
+        Stacked bars can be achieved by passing individual *bottom* values per
+        bar. See :doc:`/gallery/lines_bars_and_markers/bar_stacked`.
         """
-        if not self._hold:
-            self.cla()
-        color = kwargs.pop('color', None)
-        edgecolor = kwargs.pop('edgecolor', None)
+        kwargs = cbook.normalize_kwargs(kwargs, mpatches.Patch)
+        facecolor, edgecolor = self._parse_bar_color_args(kwargs)
+
         linewidth = kwargs.pop('linewidth', None)
+        hatch = kwargs.pop('hatch', None)
 
-        # Because xerr and yerr will be passed to errorbar,
-        # most dimension checking and processing will be left
-        # to the errorbar method.
+        # Because xerr and yerr will be passed to errorbar, most dimension
+        # checking and processing will be left to the errorbar method.
         xerr = kwargs.pop('xerr', None)
         yerr = kwargs.pop('yerr', None)
-        error_kw = kwargs.pop('error_kw', dict())
-        ecolor = kwargs.pop('ecolor', None)
-        capsize = kwargs.pop('capsize', 3)
+        error_kw = kwargs.pop('error_kw', None)
+        error_kw = {} if error_kw is None else error_kw.copy()
+        ezorder = error_kw.pop('zorder', None)
+        if ezorder is None:
+            ezorder = kwargs.get('zorder', None)
+            if ezorder is not None:
+                # If using the bar zorder, increment slightly to make sure
+                # errorbars are drawn on top of bars
+                ezorder += 0.01
+        error_kw.setdefault('zorder', ezorder)
+        ecolor = kwargs.pop('ecolor', 'k')
+        capsize = kwargs.pop('capsize', mpl.rcParams["errorbar.capsize"])
         error_kw.setdefault('ecolor', ecolor)
         error_kw.setdefault('capsize', capsize)
 
-        align = kwargs.pop('align', 'edge')
+        # The keyword argument *orientation* is used by barh() to defer all
+        # logic and drawing to bar(). It is considered internal and is
+        # intentionally not mentioned in the docstring.
         orientation = kwargs.pop('orientation', 'vertical')
+        _api.check_in_list(['vertical', 'horizontal'], orientation=orientation)
         log = kwargs.pop('log', False)
         label = kwargs.pop('label', '')
+        tick_labels = kwargs.pop('tick_label', None)
 
-        def make_iterable(x):
-            if not iterable(x):
-                return [x]
-            else:
-                return x
+        y = bottom  # Matches barh call signature.
+        if orientation == 'vertical':
+            if y is None:
+                y = 0
+        else:  # horizontal
+            if x is None:
+                x = 0
 
-        # make them safe to take len() of
-        _left = left
-        left = make_iterable(left)
-        height = make_iterable(height)
-        width = make_iterable(width)
-        _bottom = bottom
-        bottom = make_iterable(bottom)
-        linewidth = make_iterable(linewidth)
-
-        adjust_ylim = False
-        adjust_xlim = False
         if orientation == 'vertical':
-            self._process_unit_info(xdata=left, ydata=height, kwargs=kwargs)
+            # It is possible for y (bottom) to contain unit information.
+            # However, it is also possible for y=0 for the default and height
+            # to contain unit information.  This will prioritize the units of y.
+            self._process_unit_info(
+                [("x", x), ("y", y), ("y", height)], kwargs, convert=False)
             if log:
-                self.set_yscale('log', nonposy='clip')
-            # size width and bottom according to length of left
-            if _bottom is None:
-                if self.get_yscale() == 'log':
-                    adjust_ylim = True
-                bottom = [0]
-
-            nbars = len(left)
-            if len(width) == 1:
-                width *= nbars
-            if len(bottom) == 1:
-                bottom *= nbars
-        elif orientation == 'horizontal':
-            self._process_unit_info(xdata=width, ydata=bottom, kwargs=kwargs)
+                self.set_yscale('log', nonpositive='clip')
+        else:  # horizontal
+            # It is possible for x (left) to contain unit information.
+            # However, it is also possible for x=0 for the default and width
+            # to contain unit information.  This will prioritize the units of x.
+            self._process_unit_info(
+                [("x", x), ("x", width), ("y", y)], kwargs, convert=False)
             if log:
-                self.set_xscale('log', nonposx='clip')
-            # size left and height according to length of bottom
-            if _left is None:
-                if self.get_xscale() == 'log':
-                    adjust_xlim = True
-                left = [0]
-
-            nbars = len(bottom)
-            if len(left) == 1:
-                left *= nbars
-            if len(height) == 1:
-                height *= nbars
-        else:
-            raise ValueError('invalid orientation: %s' % orientation)
-
-        if len(linewidth) < nbars:
-            linewidth *= nbars
-
-        if color is None:
-            color = [None] * nbars
-        else:
-            color = list(mcolors.colorConverter.to_rgba_array(color))
-            if len(color) == 0:  # until to_rgba_array is changed
-                color = [[0, 0, 0, 0]]
-            if len(color) < nbars:
-                color *= nbars
-
-        if edgecolor is None:
-            edgecolor = [None] * nbars
-        else:
-            edgecolor = list(mcolors.colorConverter.to_rgba_array(edgecolor))
-            if len(edgecolor) == 0:     # until to_rgba_array is changed
-                edgecolor = [[0, 0, 0, 0]]
-            if len(edgecolor) < nbars:
-                edgecolor *= nbars
-
-        # FIXME: convert the following to proper input validation
-        # raising ValueError; don't use assert for this.
-        assert len(left) == nbars, ("incompatible sizes: argument 'left' must "
-                                    "be length %d or scalar" % nbars)
-        assert len(height) == nbars, ("incompatible sizes: argument 'height' "
-                                      "must be length %d or scalar" %
-                                      nbars)
-        assert len(width) == nbars, ("incompatible sizes: argument 'width' "
-                                     "must be length %d or scalar" %
-                                     nbars)
-        assert len(bottom) == nbars, ("incompatible sizes: argument 'bottom' "
-                                      "must be length %d or scalar" %
-                                      nbars)
-
-        patches = []
+                self.set_xscale('log', nonpositive='clip')
 
         # lets do some conversions now since some types cannot be
         # subtracted uniformly
         if self.xaxis is not None:
-            left = self.convert_xunits(left)
-            width = self.convert_xunits(width)
+            x0 = x
+            x = np.asarray(self.convert_xunits(x))
+            width = self._convert_dx(width, x0, x, self.convert_xunits)
             if xerr is not None:
-                xerr = self.convert_xunits(xerr)
-
+                xerr = self._convert_dx(xerr, x0, x, self.convert_xunits)
         if self.yaxis is not None:
-            bottom = self.convert_yunits(bottom)
-            height = self.convert_yunits(height)
+            y0 = y
+            y = np.asarray(self.convert_yunits(y))
+            height = self._convert_dx(height, y0, y, self.convert_yunits)
             if yerr is not None:
-                yerr = self.convert_yunits(yerr)
+                yerr = self._convert_dx(yerr, y0, y, self.convert_yunits)
+        try:
+            x, height, width, y, linewidth, hatch = np.broadcast_arrays(
+                # Make args iterable too.
+                np.atleast_1d(x), height, width, y, linewidth, hatch
+            )
+        except ValueError as e:
+            arg_map = {
+                "arg 0": "'x'",
+                "arg 1": "'height'",
+                "arg 2": "'width'",
+                "arg 3": "'y'",
+                "arg 4": "'linewidth'",
+                "arg 5": "'hatch'"
+            }
+            error_message = str(e)
+            for arg, name in arg_map.items():
+                error_message = error_message.replace(arg, name)
+            if error_message != str(e):
+                raise ValueError(error_message) from e
+            else:
+                raise
 
-        if align == 'edge':
-            pass
-        elif align == 'center':
+        # Now that units have been converted, set the tick locations.
+        if orientation == 'vertical':
+            tick_label_axis = self.xaxis
+            tick_label_position = x
+        else:  # horizontal
+            tick_label_axis = self.yaxis
+            tick_label_position = y
+
+        if not isinstance(label, str) and np.iterable(label):
+            bar_container_label = '_nolegend_'
+            patch_labels = label
+        else:
+            bar_container_label = label
+            patch_labels = ['_nolegend_'] * len(x)
+        if len(patch_labels) != len(x):
+            raise ValueError(f'number of labels ({len(patch_labels)}) '
+                             f'does not match number of bars ({len(x)}).')
+
+        linewidth = itertools.cycle(np.atleast_1d(linewidth))
+        hatch = itertools.cycle(np.atleast_1d(hatch))
+        facecolor = itertools.chain(itertools.cycle(facecolor),
+                                    # Fallback if color == "none".
+                                    itertools.repeat('none'))
+        if edgecolor is None:
+            edgecolor = itertools.repeat(None)
+        else:
+            edgecolor = itertools.chain(
+                itertools.cycle(mcolors.to_rgba_array(edgecolor)),
+                # Fallback if edgecolor == "none".
+                itertools.repeat('none'))
+
+        # We will now resolve the alignment and really have
+        # left, bottom, width, height vectors
+        _api.check_in_list(['center', 'edge'], align=align)
+        if align == 'center':
             if orientation == 'vertical':
-                left = [left[i] - width[i] / 2. for i in xrange(len(left))]
-            elif orientation == 'horizontal':
-                bottom = [bottom[i] - height[i] / 2.
-                          for i in xrange(len(bottom))]
+                try:
+                    left = x - width / 2
+                except TypeError as e:
+                    raise TypeError(f'the dtypes of parameters x ({x.dtype}) '
+                                    f'and width ({width.dtype}) '
+                                    f'are incompatible') from e
+                bottom = y
+            else:  # horizontal
+                try:
+                    bottom = y - height / 2
+                except TypeError as e:
+                    raise TypeError(f'the dtypes of parameters y ({y.dtype}) '
+                                    f'and height ({height.dtype}) '
+                                    f'are incompatible') from e
+                left = x
+        else:  # edge
+            left = x
+            bottom = y
 
-        else:
-            raise ValueError('invalid alignment: %s' % align)
-
-        args = zip(left, bottom, width, height, color, edgecolor, linewidth)
-        for l, b, w, h, c, e, lw in args:
-            if h < 0:
-                b += h
-                h = abs(h)
-            if w < 0:
-                l += w
-                w = abs(w)
+        patches = []
+        args = zip(left, bottom, width, height, facecolor, edgecolor, linewidth,
+                   hatch, patch_labels)
+        for l, b, w, h, c, e, lw, htch, lbl in args:
             r = mpatches.Rectangle(
                 xy=(l, b), width=w, height=h,
                 facecolor=c,
                 edgecolor=e,
                 linewidth=lw,
-                label='_nolegend_'
+                label=lbl,
+                hatch=htch,
                 )
-            r.update(kwargs)
+            r._internal_update(kwargs)
             r.get_path()._interpolation_steps = 100
-            #print r.get_label(), label, 'label' in kwargs
+            if orientation == 'vertical':
+                r.sticky_edges.y.append(b)
+            else:  # horizontal
+                r.sticky_edges.x.append(l)
             self.add_patch(r)
             patches.append(r)
 
-        holdstate = self._hold
-        self.hold(True)  # ensure hold is on before plotting errorbars
-
         if xerr is not None or yerr is not None:
             if orientation == 'vertical':
                 # using list comps rather than arrays to preserve unit info
-                x = [l + 0.5 * w for l, w in zip(left, width)]
-                y = [b + h for b, h in zip(bottom, height)]
+                ex = [l + 0.5 * w for l, w in zip(left, width)]
+                ey = [b + h for b, h in zip(bottom, height)]
 
-            elif orientation == 'horizontal':
+            else:  # horizontal
                 # using list comps rather than arrays to preserve unit info
-                x = [l + w for l, w in zip(left, width)]
-                y = [b + 0.5 * h for b, h in zip(bottom, height)]
+                ex = [l + w for l, w in zip(left, width)]
+                ey = [b + 0.5 * h for b, h in zip(bottom, height)]
 
-            if "label" not in error_kw:
-                error_kw["label"] = '_nolegend_'
+            error_kw.setdefault("label", '_nolegend_')
 
-            errorbar = self.errorbar(x, y,
-                                     yerr=yerr, xerr=xerr,
-                                     fmt='none', **error_kw)
+            errorbar = self.errorbar(ex, ey, yerr=yerr, xerr=xerr, fmt='none',
+                                     **error_kw)
         else:
             errorbar = None
 
-        self.hold(holdstate)  # restore previous hold state
+        self._request_autoscale_view()
 
-        if adjust_xlim:
-            xmin, xmax = self.dataLim.intervalx
-            xmin = np.amin([w for w in width if w > 0])
-            if xerr is not None:
-                xmin = xmin - np.amax(xerr)
-            xmin = max(xmin * 0.9, 1e-100)
-            self.dataLim.intervalx = (xmin, xmax)
-
-        if adjust_ylim:
-            ymin, ymax = self.dataLim.intervaly
-            ymin = np.amin([h for h in height if h > 0])
-            if yerr is not None:
-                ymin = ymin - np.amax(yerr)
-            ymin = max(ymin * 0.9, 1e-100)
-            self.dataLim.intervaly = (ymin, ymax)
-        self.autoscale_view()
+        if orientation == 'vertical':
+            datavalues = height
+        else:  # horizontal
+            datavalues = width
 
-        bar_container = BarContainer(patches, errorbar, label=label)
+        bar_container = BarContainer(patches, errorbar, datavalues=datavalues,
+                                     orientation=orientation,
+                                     label=bar_container_label)
         self.add_container(bar_container)
 
+        if tick_labels is not None:
+            tick_labels = np.broadcast_to(tick_labels, len(patches))
+            tick_label_axis.set_ticks(tick_label_position)
+            tick_label_axis.set_ticklabels(tick_labels)
+
         return bar_container
 
-    @docstring.dedent_interpd
-    def barh(self, bottom, width, height=0.8, left=None, **kwargs):
-        """
+    # @_preprocess_data() # let 'bar' do the unpacking..
+    @_docstring.interpd
+    def barh(self, y, width, height=0.8, left=None, *, align="center",
+             data=None, **kwargs):
+        r"""
         Make a horizontal bar plot.
 
-        Make a horizontal bar plot with rectangles bounded by:
+        The bars are positioned at *y* with the given *align*\ment. Their
+        dimensions are given by *width* and *height*. The horizontal baseline
+        is *left* (default 0).
+
+        Many parameters can take either a single value applying to all bars
+        or a sequence of values, one for each bar.
+
+        Parameters
+        ----------
+        y : float or array-like
+            The y coordinates of the bars. See also *align* for the
+            alignment of the bars to the coordinates.
+
+            Bars are often used for categorical data, i.e. string labels below
+            the bars. You can provide a list of strings directly to *y*.
+            ``barh(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
+            convenient notation compared to
+            ``barh(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
+            equivalent as long as the names are unique. The explicit *tick_label*
+            notation draws the names in the sequence given. However, when having
+            duplicate values in categorical *y* data, these values map to the same
+            numerical y coordinate, and hence the corresponding bars are drawn on
+            top of each other.
+
+        width : float or array-like
+            The width(s) of the bars.
+
+            Note that if *left* has units (e.g. datetime), *width* should be in
+            units that are a difference from the value of *left* (e.g. timedelta).
+
+        height : float or array-like, default: 0.8
+            The heights of the bars.
+
+            Note that if *y* has units (e.g. datetime), then *height* should be in
+            units that are a difference (e.g. timedelta) around the *y* values.
+
+        left : float or array-like, default: 0
+            The x coordinates of the left side(s) of the bars.
+
+            Note that if *left* has units, then the x-axis will get a Locator and
+            Formatter appropriate for the units (e.g. dates, or categorical).
+
+        align : {'center', 'edge'}, default: 'center'
+            Alignment of the base to the *y* coordinates*:
+
+            - 'center': Center the bars on the *y* positions.
+            - 'edge': Align the bottom edges of the bars with the *y*
+              positions.
+
+            To align the bars on the top edge pass a negative *height* and
+            ``align='edge'``.
+
+        Returns
+        -------
+        `.BarContainer`
+            Container with all the bars and optionally errorbars.
+
+        Other Parameters
+        ----------------
+        color : :mpltype:`color` or list of :mpltype:`color`, optional
+            The colors of the bar faces.
+
+        edgecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            The colors of the bar edges.
+
+        linewidth : float or array-like, optional
+            Width of the bar edge(s). If 0, don't draw edges.
+
+        tick_label : str or list of str, optional
+            The tick labels of the bars.
+            Default: None (Use default numeric labels.)
+
+        label : str or list of str, optional
+            A single label is attached to the resulting `.BarContainer` as a
+            label for the whole dataset.
+            If a list is provided, it must be the same length as *y* and
+            labels the individual bars. Repeated labels are not de-duplicated
+            and will cause repeated label entries, so this is best used when
+            bars also differ in style (e.g., by passing a list to *color*.)
+
+        xerr, yerr : float or array-like of shape(N,) or shape(2, N), optional
+            If not *None*, add horizontal / vertical errorbars to the bar tips.
+            The values are +/- sizes relative to the data:
+
+            - scalar: symmetric +/- values for all bars
+            - shape(N,): symmetric +/- values for each bar
+            - shape(2, N): Separate - and + values for each bar. First row
+              contains the lower errors, the second row contains the upper
+              errors.
+            - *None*: No errorbar. (default)
+
+            See :doc:`/gallery/statistics/errorbar_features` for an example on
+            the usage of *xerr* and *yerr*.
+
+        ecolor : :mpltype:`color` or list of :mpltype:`color`, default: 'black'
+            The line color of the errorbars.
+
+        capsize : float, default: :rc:`errorbar.capsize`
+           The length of the error bar caps in points.
+
+        error_kw : dict, optional
+            Dictionary of keyword arguments to be passed to the
+            `~.Axes.errorbar` method. Values of *ecolor* or *capsize* defined
+            here take precedence over the independent keyword arguments.
+
+        log : bool, default: False
+            If ``True``, set the x-axis to be log scale.
+
+        data : indexable object, optional
+            If given, all parameters also accept a string ``s``, which is
+            interpreted as ``data[s]`` if  ``s`` is a key in ``data``.
+
+        **kwargs : `.Rectangle` properties
+
+        %(Rectangle:kwdoc)s
+
+        See Also
+        --------
+        bar : Plot a vertical bar plot.
+
+        Notes
+        -----
+        Stacked bars can be achieved by passing individual *left* values per
+        bar. See
+        :doc:`/gallery/lines_bars_and_markers/horizontal_barchart_distribution`.
+        """
+        kwargs.setdefault('orientation', 'horizontal')
+        patches = self.bar(x=left, height=height, width=width, bottom=y,
+                           align=align, data=data, **kwargs)
+        return patches
+
+    def bar_label(self, container, labels=None, *, fmt="%g", label_type="edge",
+                  padding=0, **kwargs):
+        """
+        Label a bar plot.
+
+        Adds labels to bars in the given `.BarContainer`.
+        You may need to adjust the axis limits to fit the labels.
+
+        Parameters
+        ----------
+        container : `.BarContainer`
+            Container with all the bars and optionally errorbars, likely
+            returned from `.bar` or `.barh`.
+
+        labels : array-like, optional
+            A list of label texts, that should be displayed. If not given, the
+            label texts will be the data values formatted with *fmt*.
+
+        fmt : str or callable, default: '%g'
+            An unnamed %-style or {}-style format string for the label or a
+            function to call with the value as the first argument.
+            When *fmt* is a string and can be interpreted in both formats,
+            %-style takes precedence over {}-style.
+
+            .. versionadded:: 3.7
+               Support for {}-style format string and callables.
+
+        label_type : {'edge', 'center'}, default: 'edge'
+            The label type. Possible values:
+
+            - 'edge': label placed at the end-point of the bar segment, and the
+              value displayed will be the position of that end-point.
+            - 'center': label placed in the center of the bar segment, and the
+              value displayed will be the length of that segment.
+              (useful for stacked bars, i.e.,
+              :doc:`/gallery/lines_bars_and_markers/bar_label_demo`)
+
+        padding : float or array-like, default: 0
+            Distance of label from the end of the bar, in points.
+            If an array-like is provided, the padding values are applied
+            to each label individually. Must have the same length as container.
+            .. versionadded:: 3.11
+
+        **kwargs
+            Any remaining keyword arguments are passed through to
+            `.Axes.annotate`. The alignment parameters (
+            *horizontalalignment* / *ha*, *verticalalignment* / *va*) are
+            not supported because the labels are automatically aligned to
+            the bars.
+
+        Returns
+        -------
+        list of `.Annotation`
+            A list of `.Annotation` instances for the labels.
+        """
+        for key in ['horizontalalignment', 'ha', 'verticalalignment', 'va']:
+            if key in kwargs:
+                raise ValueError(
+                    f"Passing {key!r} to bar_label() is not supported.")
+
+        a, b = self.yaxis.get_view_interval()
+        y_inverted = a > b
+        c, d = self.xaxis.get_view_interval()
+        x_inverted = c > d
+
+        # want to know whether to put label on positive or negative direction
+        # cannot use np.sign here because it will return 0 if x == 0
+        def sign(x):
+            return 1 if x >= 0 else -1
+
+        _api.check_in_list(['edge', 'center'], label_type=label_type)
+
+        bars = container.patches
+        errorbar = container.errorbar
+        datavalues = container.datavalues
+        orientation = container.orientation
+
+        if errorbar:
+            # check "ErrorbarContainer" for the definition of these elements
+            lines = errorbar.lines  # attribute of "ErrorbarContainer" (tuple)
+            barlinecols = lines[2]  # 0: data_line, 1: caplines, 2: barlinecols
+            barlinecol = barlinecols[0]  # the "LineCollection" of error bars
+            errs = barlinecol.get_segments()
+        else:
+            errs = []
+
+        if labels is None:
+            labels = []
+
+        annotations = []
+
+        if np.iterable(padding):
+            # if padding iterable, check length
+            padding = np.asarray(padding)
+            if len(padding) != len(bars):
+                raise ValueError(
+                    f"padding must be of length {len(bars)} when passed as a sequence")
+        else:
+            # single value, apply to all labels
+            padding = [padding] * len(bars)
+
+        for bar, err, dat, lbl, pad in itertools.zip_longest(
+                bars, errs, datavalues, labels, padding
+        ):
+            (x0, y0), (x1, y1) = bar.get_bbox().get_points()
+            xc, yc = (x0 + x1) / 2, (y0 + y1) / 2
+
+            if orientation == "vertical":
+                extrema = max(y0, y1) if dat >= 0 else min(y0, y1)
+                length = abs(y0 - y1)
+            else:  # horizontal
+                extrema = max(x0, x1) if dat >= 0 else min(x0, x1)
+                length = abs(x0 - x1)
+
+            if err is None or np.size(err) == 0:
+                endpt = extrema
+            elif orientation == "vertical":
+                endpt = err[:, 1].max() if dat >= 0 else err[:, 1].min()
+            else:  # horizontal
+                endpt = err[:, 0].max() if dat >= 0 else err[:, 0].min()
+
+            if label_type == "center":
+                value = sign(dat) * length
+            else:  # edge
+                value = extrema
+
+            if label_type == "center":
+                xy = (0.5, 0.5)
+                kwargs["xycoords"] = (
+                    lambda r, b=bar:
+                        mtransforms.Bbox.intersection(
+                            b.get_window_extent(r), b.get_clip_box()
+                        ) or mtransforms.Bbox.null()
+                )
+            else:  # edge
+                if orientation == "vertical":
+                    xy = xc, endpt
+                else:  # horizontal
+                    xy = endpt, yc
+
+            if orientation == "vertical":
+                y_direction = -1 if y_inverted else 1
+                xytext = 0, y_direction * sign(dat) * pad
+            else:  # horizontal
+                x_direction = -1 if x_inverted else 1
+                xytext = x_direction * sign(dat) * pad, 0
+
+            if label_type == "center":
+                ha, va = "center", "center"
+            else:  # edge
+                if orientation == "vertical":
+                    ha = 'center'
+                    if y_inverted:
+                        va = 'top' if dat > 0 else 'bottom'  # also handles NaN
+                    else:
+                        va = 'top' if dat < 0 else 'bottom'  # also handles NaN
+                else:  # horizontal
+                    if x_inverted:
+                        ha = 'right' if dat > 0 else 'left'  # also handles NaN
+                    else:
+                        ha = 'right' if dat < 0 else 'left'  # also handles NaN
+                    va = 'center'
+
+            if np.isnan(dat):
+                lbl = ''
+
+            if lbl is None:
+                if isinstance(fmt, str):
+                    lbl = cbook._auto_format_str(fmt, value)
+                elif callable(fmt):
+                    lbl = fmt(value)
+                else:
+                    raise TypeError("fmt must be a str or callable")
+            annotation = self.annotate(lbl,
+                                       xy, xytext, textcoords="offset points",
+                                       ha=ha, va=va, **kwargs)
+            annotations.append(annotation)
+
+        return annotations
+
+    @_preprocess_data()
+    @_docstring.interpd
+    def broken_barh(self, xranges, yrange, **kwargs):
+        """
+        Plot a horizontal sequence of rectangles.
+
+        A rectangle is drawn for each element of *xranges*. All rectangles
+        have the same vertical position and size defined by *yrange*.
+
+        Parameters
+        ----------
+        xranges : sequence of tuples (*xmin*, *xwidth*)
+            The x-positions and extents of the rectangles. For each tuple
+            (*xmin*, *xwidth*) a rectangle is drawn from *xmin* to *xmin* +
+            *xwidth*.
+        yrange : (*ymin*, *yheight*)
+            The y-position and extent for all the rectangles.
+
+        Returns
+        -------
+        `~.collections.PolyCollection`
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs : `.PolyCollection` properties
+
+            Each *kwarg* can be either a single argument applying to all
+            rectangles, e.g.::
+
+                facecolors='black'
+
+            or a sequence of arguments over which is cycled, e.g.::
+
+                facecolors=('black', 'blue')
+
+            would create interleaving black and blue rectangles.
+
+            Supported keywords:
+
+            %(PolyCollection:kwdoc)s
+        """
+        # process the unit information
+        xdata = cbook._safe_first_finite(xranges) if len(xranges) else None
+        ydata = cbook._safe_first_finite(yrange) if len(yrange) else None
+        self._process_unit_info(
+            [("x", xdata), ("y", ydata)], kwargs, convert=False)
+
+        vertices = []
+        y0, dy = yrange
+        y0, y1 = self.convert_yunits((y0, y0 + dy))
+        for xr in xranges:  # convert the absolute values, not the x and dx
+            try:
+                x0, dx = xr
+            except Exception:
+                raise ValueError(
+                    "each range in xrange must be a sequence with two "
+                    "elements (i.e. xrange must be an (N, 2) array)") from None
+            x0, x1 = self.convert_xunits((x0, x0 + dx))
+            vertices.append([(x0, y0), (x0, y1), (x1, y1), (x1, y0)])
+
+        col = mcoll.PolyCollection(np.array(vertices), **kwargs)
+        self.add_collection(col, autolim=True)
+        self._request_autoscale_view()
+
+        return col
+
+    @_docstring.interpd
+    def grouped_bar(self, heights, *, positions=None, group_spacing=1.5, bar_spacing=0,
+                    tick_labels=None, labels=None, orientation="vertical", colors=None,
+                    **kwargs):
+        """
+        Make a grouped bar plot.
+
+        .. versionadded:: 3.11
+
+            The API is still provisional. We may still fine-tune some aspects based on
+            user-feedback.
+
+        Grouped bar charts visualize a collection of categorical datasets. Each value
+        in a dataset belongs to a distinct category and these categories are the same
+        across all datasets. The categories typically have string names, but could
+        also be dates or index keys. The values in each dataset are represented by a
+        sequence of bars of the same color. The bars of all datasets are grouped
+        together by their shared categories. The category names are drawn as the tick
+        labels for each bar group. Each dataset has a distinct bar color, and can
+        optionally get a label that is used for the legend.
+
+        Example:
+
+        .. code-block:: python
+
+           grouped_bar([dataset_0, dataset_1, dataset_2],
+                       tick_labels=['A', 'B'],
+                       labels=['dataset 0', 'dataset 1', 'dataset 2'])
+
+        .. plot:: _embedded_plots/grouped_bar.py
+
+        Parameters
+        ----------
+        heights : list of array-like or dict of array-like or 2D array \
+or pandas.DataFrame
+            The heights for all x and groups. One of:
+
+            - list of array-like: A list of datasets, each dataset must have
+              the same number of elements.
+
+              .. code-block:: none
+
+                  #           category_A, category_B
+                  dataset_0 = [value_0_A, value_0_B]
+                  dataset_1 = [value_1_A, value_1_B]
+                  dataset_2 = [value_2_A, value_2_B]
+
+              Example call::
+
+                  grouped_bar([dataset_0, dataset_1, dataset_2])
+
+            - dict of array-like: A mapping from names to datasets. Each dataset
+              (dict value) must have the same number of elements.
+
+              Example call:
+
+              .. code-block:: python
+
+                data_dict = {'ds0': dataset_0, 'ds1': dataset_1, 'ds2': dataset_2}
+                grouped_bar(data_dict)
+
+              The names are used as *labels*, i.e. this is equivalent to
+
+              .. code-block:: python
+
+                grouped_bar(data_dict.values(), labels=data_dict.keys())
+
+              When using a dict input, you must not pass *labels* explicitly.
+
+            - a 2D array: The rows are the categories, the columns are the different
+              datasets.
+
+              .. code-block:: none
+
+                             dataset_0 dataset_1 dataset_2
+                 category_A    ds0_a     ds1_a     ds2_a
+                 category_B    ds0_b     ds1_b     ds2_b
+
+              Example call:
+
+              .. code-block:: python
+
+                  categories = ["A", "B"]
+                  dataset_labels = ["dataset_0", "dataset_1", "dataset_2"]
+                  array = np.random.random((2, 3))
+                  grouped_bar(array, tick_labels=categories, labels=dataset_labels)
+
+            - a `pandas.DataFrame`.
+
+              The index is used for the categories, the columns are used for the
+              datasets.
+
+              .. code-block:: python
+
+                  df = pd.DataFrame(
+                      np.random.random((2, 3)),
+                      index=["A", "B"],
+                      columns=["dataset_0", "dataset_1", "dataset_2"]
+                  )
+                  grouped_bar(df)
+
+              i.e. this is equivalent to
+
+              .. code-block::
+
+                  grouped_bar(df.to_numpy(), tick_labels=df.index, labels=df.columns)
+
+              Note that ``grouped_bar(df)`` produces a structurally equivalent plot like
+              ``df.plot.bar()``.
+
+        positions : array-like, optional
+            The center positions of the bar groups. The values have to be equidistant.
+            If not given, a sequence of integer positions 0, 1, 2, ... is used.
+
+        tick_labels : list of str, optional
+            The category labels, which are placed on ticks at the center *positions*
+            of the bar groups. If not set, the axis ticks (positions and labels) are
+            left unchanged.
+
+        labels : list of str, optional
+            The labels of the datasets, i.e. the bars within one group.
+            These will show up in the legend.
+
+        group_spacing : float, default: 1.5
+            The space between two bar groups as a multiple of bar width.
+
+            The default value of 1.5 thus means that there's a gap of
+            1.5 bar widths between bar groups.
 
-          `left`, `left` + `width`, `bottom`, `bottom` + `height`
-                (left, right, bottom and top edges)
+        bar_spacing : float, default: 0
+            The space between bars as a multiple of bar width.
 
-        `bottom`, `width`, `height`, and `left` can be either scalars
-        or sequences
+        orientation : {"vertical", "horizontal"}, default: "vertical"
+            The direction of the bars.
 
-        Parameters
-        ----------
-        bottom : scalar or array-like
-            the y coordinate(s) of the bars
+        colors : list of :mpltype:`color`, optional
+            A sequence of colors to be cycled through and used to color bars
+            of the different datasets. The sequence need not be exactly the
+            same length as the number of provided y, in which case the colors
+            will repeat from the beginning.
 
-        width : scalar or array-like
-            the width(s) of the bars
+            If not specified, the colors from the Axes property cycle will be used.
 
-        height : sequence of scalars, optional, default: 0.8
-            the heights of the bars
+        **kwargs : `.Rectangle` properties
 
-        left : sequence of scalars
-            the x coordinates of the left sides of the bars
+            %(Rectangle:kwdoc)s
 
         Returns
-        --------
-        `matplotlib.patches.Rectangle` instances.
+        -------
+        _GroupedBarReturn
 
-        Other parameters
-        ----------------
-        color : scalar or array-like, optional
-            the colors of the bars
+            A provisional result object. This will be refined in the future.
+            For now, the guaranteed API on the returned object is limited to
 
-        edgecolor : scalar or array-like, optional
-            the colors of the bar edges
+            - the attribute ``bar_containers``, which is a list of
+              `.BarContainer`, i.e. the results of the individual `~.Axes.bar`
+              calls for each dataset.
 
-        linewidth : scalar or array-like, optional, default: None
-            width of bar edge(s). If None, use default
-            linewidth; If 0, don't draw edges.
+            - a ``remove()`` method, that remove all bars from the Axes.
+              See also `.Artist.remove()`.
 
-        xerr : scalar or array-like, optional, default: None
-            if not None, will be used to generate errorbar(s) on the bar chart
+        See Also
+        --------
+        bar : A lower-level API for bar plots, with more degrees of freedom like
+              individual bar sizes and colors.
 
-        yerr : scalar or array-like, optional, default: None
-            if not None, will be used to generate errorbar(s) on the bar chart
+        Notes
+        -----
+        For a better understanding, we compare the `~.Axes.grouped_bar` API with
+        those of `~.Axes.bar` and `~.Axes.boxplot`.
 
-        ecolor : scalar or array-like, optional, default: None
-            specifies the color of errorbar(s)
+        **Comparison to bar()**
 
-        capsize : integer, optional, default: 3
-           determines the length in points of the error bar caps
+        `~.Axes.grouped_bar` intentionally deviates from the `~.Axes.bar` API in some
+        aspects. ``bar(x, y)`` is a lower-level API and places bars with height *y*
+        at explicit positions *x*. It also allows to specify individual bar widths
+        and colors. This kind of detailed control and flexibility is difficult to
+        manage and often not needed when plotting multiple datasets as a grouped bar
+        plot. Therefore, ``grouped_bar`` focusses on the abstraction of bar plots
+        as visualization of categorical data.
 
-        error_kw :
-            dictionary of kwargs to be passed to errorbar method. `ecolor` and
-            `capsize` may be specified here rather than as independent kwargs.
+        The following examples may help to transfer from ``bar`` to
+        ``grouped_bar``.
 
-        align : ['edge' | 'center'], optional, default: 'edge'
-            If `edge`, aligns bars by their left edges (for vertical bars) and
-            by their bottom edges (for horizontal bars). If `center`, interpret
-            the `left` argument as the coordinates of the centers of the bars.
+        Positions are de-emphasized due to categories, and default to integer values.
+        If you have used ``range(N)`` as positions, you can leave that value out::
 
-        orientation : 'vertical' | 'horizontal', optional, default: 'vertical'
-            The orientation of the bars.
+           bar(range(N), heights)
+           grouped_bar([heights])
 
-        log : boolean, optional, default: False
-            If true, sets the axis to be log scale
+        If needed, positions can be passed as keyword arguments::
 
-        Notes
-        -----
-        The optional arguments `color`, `edgecolor`, `linewidth`,
-        `xerr`, and `yerr` can be either scalars or sequences of
-        length equal to the number of bars.  This enables you to use
-        bar as the basis for stacked bar charts, or candlestick plots.
-        Detail: `xerr` and `yerr` are passed directly to
-        :meth:`errorbar`, so they can also have shape 2xN for
-        independent specification of lower and upper errors.
+           bar(x, heights)
+           grouped_bar([heights], positions=x)
 
-        Other optional kwargs:
+        To place category labels in `~.Axes.bar` you could use the argument
+        *tick_label* or use a list of category names as *x*.
+        `~.Axes.grouped_bar` expects them in the argument *tick_labels*::
 
-        %(Rectangle)s
+           bar(range(N), heights, tick_label=["A", "B"])
+           bar(["A", "B"], heights)
+           grouped_bar([heights], tick_labels=["A", "B"])
 
-        See also
-        --------
-        bar: Plot a vertical bar plot.
-        """
+        Dataset labels, which are shown in the legend, are still passed via the
+        *label* parameter::
 
-        patches = self.bar(left=left, height=height, width=width,
-                           bottom=bottom, orientation='horizontal', **kwargs)
-        return patches
+           bar(..., label="dataset")
+           grouped_bar(..., label=["dataset"])
 
-    @docstring.dedent_interpd
-    def broken_barh(self, xranges, yrange, **kwargs):
-        """
-        Plot horizontal bars.
+        **Comparison to boxplot()**
 
-        Call signature::
+        Both, `~.Axes.grouped_bar` and `~.Axes.boxplot` visualize categorical data
+        from multiple datasets. The basic API on *tick_labels* and *positions*
+        is the same, so that you can easily switch between plotting all
+        individual values as `~.Axes.grouped_bar` or the statistical distribution
+        per category as `~.Axes.boxplot`::
 
-          broken_barh(self, xranges, yrange, **kwargs)
+           grouped_bar(values, positions=..., tick_labels=...)
+           boxplot(values, positions=..., tick_labels=...)
 
-        A collection of horizontal bars spanning *yrange* with a sequence of
-        *xranges*.
+        """
+        if cbook._is_pandas_dataframe(heights):
+            if labels is None:
+                labels = heights.columns.tolist()
+            if tick_labels is None:
+                tick_labels = heights.index.tolist()
+            heights = heights.to_numpy().T
+        elif hasattr(heights, 'keys'):  # dict
+            if labels is not None:
+                raise ValueError("'labels' cannot be used if 'heights' is a mapping")
+            labels = heights.keys()
+            heights = list(heights.values())
+        elif hasattr(heights, 'shape'):  # numpy array
+            heights = heights.T
+
+        num_datasets = len(heights)
+        num_groups = len(next(iter(heights)))  # inferred from first dataset
+
+        # validate that all datasets have the same length, i.e. num_groups
+        # - can be skipped if heights is an array
+        if not hasattr(heights, 'shape'):
+            for i, dataset in enumerate(heights):
+                if len(dataset) != num_groups:
+                    raise ValueError(
+                        "'heights' contains datasets with different number of "
+                        f"elements. dataset 0 has {num_groups} elements but "
+                        f"dataset {i} has {len(dataset)} elements."
+                    )
 
-        Required arguments:
+        if positions is None:
+            group_centers = np.arange(num_groups)
+            group_distance = 1
+        else:
+            group_centers = np.asanyarray(positions)
+            if len(group_centers) > 1:
+                d = np.diff(group_centers)
+                if not np.allclose(d, d.mean()):
+                    raise ValueError("'positions' must be equidistant")
+                group_distance = d[0]
+            else:
+                group_distance = 1
 
-          =========   ==============================
-          Argument    Description
-          =========   ==============================
-          *xranges*   sequence of (*xmin*, *xwidth*)
-          *yrange*    sequence of (*ymin*, *ywidth*)
-          =========   ==============================
+        _api.check_in_list(["vertical", "horizontal"], orientation=orientation)
 
-        kwargs are
-        :class:`matplotlib.collections.BrokenBarHCollection`
-        properties:
+        if colors is None:
+            colors = itertools.cycle([None])
+        else:
+            # Note: This is equivalent to the behavior in stackplot
+            # TODO: do we want to be more restrictive and check lengths?
+            colors = itertools.cycle(colors)
 
-        %(BrokenBarHCollection)s
+        bar_width = (group_distance /
+                     (num_datasets + (num_datasets - 1) * bar_spacing + group_spacing))
+        bar_spacing_abs = bar_spacing * bar_width
+        margin_abs = 0.5 * group_spacing * bar_width
 
-        these can either be a single argument, i.e.,::
+        if labels is None:
+            labels = [None] * num_datasets
+        else:
+            assert len(labels) == num_datasets
+
+        # place the bars, but only use numerical positions, categorical tick labels
+        # are handled separately below
+        bar_containers = []
+        for i, (hs, label, color) in enumerate(zip(heights, labels, colors)):
+            lefts = (group_centers - 0.5 * group_distance + margin_abs
+                     + i * (bar_width + bar_spacing_abs))
+            if orientation == "vertical":
+                bc = self.bar(lefts, hs, width=bar_width, align="edge",
+                              label=label, color=color, **kwargs)
+            else:
+                bc = self.barh(lefts, hs, height=bar_width, align="edge",
+                               label=label, color=color, **kwargs)
+            bar_containers.append(bc)
 
-          facecolors = 'black'
+        if tick_labels is not None:
+            if orientation == "vertical":
+                self.xaxis.set_ticks(group_centers, labels=tick_labels)
+            else:
+                self.yaxis.set_ticks(group_centers, labels=tick_labels)
 
-        or a sequence of arguments for the various bars, i.e.,::
+        return _GroupedBarReturn(bar_containers)
 
-          facecolors = ('black', 'red', 'green')
+    @_preprocess_data()
+    def stem(self, *args, linefmt=None, markerfmt=None, basefmt=None, bottom=0,
+             label=None, orientation='vertical'):
+        """
+        Create a stem plot.
 
-        **Example:**
+        A stem plot draws lines perpendicular to a baseline at each location
+        *locs* from the baseline to *heads*, and places a marker there. For
+        vertical stem plots (the default), the *locs* are *x* positions, and
+        the *heads* are *y* values. For horizontal stem plots, the *locs* are
+        *y* positions, and the *heads* are *x* values.
 
-        .. plot:: mpl_examples/pylab_examples/broken_barh.py
-        """
-        col = mcoll.BrokenBarHCollection(xranges, yrange, **kwargs)
-        self.add_collection(col, autolim=True)
-        self.autoscale_view()
+        Call signature::
 
-        return col
+          stem([locs,] heads, linefmt=None, markerfmt=None, basefmt=None)
 
-    def stem(self, *args, **kwargs):
-        """
-        Create a stem plot.
+        The *locs*-positions are optional. *linefmt* may be provided as
+        positional, but all other formats must be provided as keyword
+        arguments.
 
-        Call signatures::
+        Parameters
+        ----------
+        locs : array-like, default: (0, 1, ..., len(heads) - 1)
+            For vertical stem plots, the x-positions of the stems.
+            For horizontal stem plots, the y-positions of the stems.
 
-          stem(y, linefmt='b-', markerfmt='bo', basefmt='r-')
-          stem(x, y, linefmt='b-', markerfmt='bo', basefmt='r-')
+        heads : array-like
+            For vertical stem plots, the y-values of the stem heads.
+            For horizontal stem plots, the x-values of the stem heads.
 
-        A stem plot plots vertical lines (using *linefmt*) at each *x*
-        location from the baseline to *y*, and places a marker there
-        using *markerfmt*.  A horizontal line at 0 is is plotted using
-        *basefmt*.
+        linefmt : str, optional
+            A string defining the color and/or linestyle of the vertical lines:
 
-        If no *x* values are provided, the default is (0, 1, ..., len(y) - 1)
+            =========  =============
+            Character  Line Style
+            =========  =============
+            ``'-'``    solid line
+            ``'--'``   dashed line
+            ``'-.'``   dash-dot line
+            ``':'``    dotted line
+            =========  =============
 
-        Return value is a tuple (*markerline*, *stemlines*,
-        *baseline*).
+            Default: 'C0-', i.e. solid line with the first color of the color
+            cycle.
 
-        .. seealso::
-            This
-            `document <http://www.mathworks.com/help/techdoc/ref/stem.html>`_
-            for details.
+            Note: Markers specified through this parameter (e.g. 'x') will be
+            silently ignored. Instead, markers should be specified using
+            *markerfmt*.
 
+        markerfmt : str, optional
+            A string defining the color and/or shape of the markers at the stem
+            heads. If the marker is not given, use the marker 'o', i.e. filled
+            circles. If the color is not given, use the color from *linefmt*.
 
-        **Example:**
+        basefmt : str, default: 'C3-' ('C2-' in classic mode)
+            A format string defining the properties of the baseline.
 
-        .. plot:: mpl_examples/pylab_examples/stem_plot.py
-        """
-        remember_hold = self._hold
-        if not self._hold:
-            self.cla()
-        self.hold(True)
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            The orientation of the stems.
 
-        # Assume there's at least one data array
-        y = np.asarray(args[0])
-        args = args[1:]
+        bottom : float, default: 0
+            The y/x-position of the baseline (depending on *orientation*).
 
-        # Try a second one
-        try:
-            second = np.asarray(args[0], dtype=np.float)
-            x, y = y, second
-            args = args[1:]
-        except (IndexError, ValueError):
-            # The second array doesn't make sense, or it doesn't exist
-            second = np.arange(len(y))
-            x = second
-
-        # Popping some defaults
-        try:
-            linefmt = kwargs.pop('linefmt', args[0])
-        except IndexError:
-            linefmt = kwargs.pop('linefmt', 'b-')
-        try:
-            markerfmt = kwargs.pop('markerfmt', args[1])
-        except IndexError:
-            markerfmt = kwargs.pop('markerfmt', 'bo')
-        try:
-            basefmt = kwargs.pop('basefmt', args[2])
-        except IndexError:
-            basefmt = kwargs.pop('basefmt', 'r-')
+        label : str, optional
+            The label to use for the stems in legends.
 
-        bottom = kwargs.pop('bottom', None)
-        label = kwargs.pop('label', None)
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        markerline, = self.plot(x, y, markerfmt, label="_nolegend_")
+        Returns
+        -------
+        `.StemContainer`
+            The container may be treated like a tuple
+            (*markerline*, *stemlines*, *baseline*)
+
+        Notes
+        -----
+        .. seealso::
+            The MATLAB function
+            `stem <https://www.mathworks.com/help/matlab/ref/stem.html>`_
+            which inspired this method.
+        """
+        if not 1 <= len(args) <= 3:
+            raise _api.nargs_error('stem', '1-3', len(args))
+        _api.check_in_list(['horizontal', 'vertical'], orientation=orientation)
 
-        if bottom is None:
-            bottom = 0
+        if len(args) == 1:
+            heads, = args
+            locs = np.arange(len(heads))
+            args = ()
+        elif isinstance(args[1], str):
+            heads, *args = args
+            locs = np.arange(len(heads))
+        else:
+            locs, heads, *args = args
 
-        stemlines = []
-        for thisx, thisy in zip(x, y):
-            l, = self.plot([thisx, thisx], [bottom, thisy], linefmt,
-                           label="_nolegend_")
-            stemlines.append(l)
+        if orientation == 'vertical':
+            locs, heads = self._process_unit_info([("x", locs), ("y", heads)])
+        else:  # horizontal
+            heads, locs = self._process_unit_info([("x", heads), ("y", locs)])
+
+        # resolve line format
+        if linefmt is None:
+            linefmt = args[0] if len(args) > 0 else "C0-"
+        linestyle, linemarker, linecolor = _process_plot_format(linefmt)
+
+        # resolve marker format
+        if markerfmt is None:
+            # if not given as kwarg, fall back to 'o'
+            markerfmt = "o"
+        if markerfmt == '':
+            markerfmt = ' '  # = empty line style; '' would resolve rcParams
+        markerstyle, markermarker, markercolor = _process_plot_format(markerfmt)
+        if markermarker is None:
+            markermarker = 'o'
+        if markerstyle is None:
+            markerstyle = 'None'
+        if markercolor is None:
+            markercolor = linecolor
+
+        # resolve baseline format
+        if basefmt is None:
+            basefmt = ("C2-" if mpl.rcParams["_internal.classic_mode"] else
+                       "C3-")
+        basestyle, basemarker, basecolor = _process_plot_format(basefmt)
+
+        # New behaviour in 3.1 is to use a LineCollection for the stemlines
+        linestyle = mpl._val_or_rc(linestyle, 'lines.linestyle')
+        xlines = self.vlines if orientation == "vertical" else self.hlines
+        stemlines = xlines(
+            locs, bottom, heads,
+            colors=linecolor, linestyles=linestyle, label="_nolegend_")
+
+        if orientation == 'horizontal':
+            marker_x = heads
+            marker_y = locs
+            baseline_x = [bottom, bottom]
+            baseline_y = [np.min(locs), np.max(locs)]
+        else:
+            marker_x = locs
+            marker_y = heads
+            baseline_x = [np.min(locs), np.max(locs)]
+            baseline_y = [bottom, bottom]
 
-        baseline, = self.plot([np.amin(x), np.amax(x)], [bottom, bottom],
-                              basefmt, label="_nolegend_")
+        markerline, = self.plot(marker_x, marker_y,
+                                color=markercolor, linestyle=markerstyle,
+                                marker=markermarker, label="_nolegend_")
 
-        self.hold(remember_hold)
+        baseline, = self.plot(baseline_x, baseline_y,
+                              color=basecolor, linestyle=basestyle,
+                              marker=basemarker, label="_nolegend_")
+        baseline.get_path()._interpolation_steps = \
+            mpl.axis.GRIDLINE_INTERPOLATION_STEPS
 
         stem_container = StemContainer((markerline, stemlines, baseline),
                                        label=label)
         self.add_container(stem_container)
-
         return stem_container
 
+    @_api.make_keyword_only("3.10", "explode")
+    @_preprocess_data(replace_names=["x", "explode", "labels", "colors"])
     def pie(self, x, explode=None, labels=None, colors=None,
             autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1,
-            startangle=None, radius=None, counterclock=True,
+            startangle=0, radius=1, counterclock=True,
             wedgeprops=None, textprops=None, center=(0, 0),
-            frame=False):
-        r"""
+            frame=False, rotatelabels=False, *, normalize=True, hatch=None):
+        """
         Plot a pie chart.
 
-        Call signature::
+        Make a pie chart of array *x*.  The fractional area of each wedge is
+        given by ``x/sum(x)``.
+
+        The wedges are plotted counterclockwise, by default starting from the
+        x-axis.
 
-          pie(x, explode=None, labels=None,
-              colors=('b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'),
-              autopct=None, pctdistance=0.6, shadow=False,
-              labeldistance=1.1, startangle=None, radius=None,
-              counterclock=True, wedgeprops=None, textprops=None,
-              center = (0, 0), frame = False )
+        Parameters
+        ----------
+        x : 1D array-like
+            The wedge sizes.
 
-        Make a pie chart of array *x*.  The fractional area of each
-        wedge is given by x/sum(x).  If sum(x) <= 1, then the values
-        of x give the fractional area directly and the array will not
-        be normalized.  The wedges are plotted counterclockwise,
-        by default starting from the x-axis.
+        explode : array-like, default: None
+            If not *None*, is a ``len(x)`` array which specifies the fraction
+            of the radius with which to offset each wedge.
 
-        Keyword arguments:
+        labels : list, default: None
+            A sequence of strings providing the labels for each wedge
 
-          *explode*: [ *None* | len(x) sequence ]
-            If not *None*, is a ``len(x)`` array which specifies the
-            fraction of the radius with which to offset each wedge.
+        colors : :mpltype:`color` or list of :mpltype:`color`, default: None
+            A sequence of colors through which the pie chart will cycle.  If
+            *None*, will use the colors in the currently active cycle.
 
-          *colors*: [ *None* | color sequence ]
-            A sequence of matplotlib color args through which the pie chart
-            will cycle.
+        hatch : str or list, default: None
+            Hatching pattern applied to all pie wedges or sequence of patterns
+            through which the chart will cycle. For a list of valid patterns,
+            see :doc:`/gallery/shapes_and_collections/hatch_style_reference`.
 
-          *labels*: [ *None* | len(x) sequence of strings ]
-            A sequence of strings providing the labels for each wedge
+            .. versionadded:: 3.7
 
-          *autopct*: [ *None* | format string | format function ]
-            If not *None*, is a string or function used to label the wedges
-            with their numeric value.  The label will be placed inside the
-            wedge.  If it is a format string, the label will be ``fmt%pct``.
-            If it is a function, it will be called.
+        autopct : None or str or callable, default: None
+            If not *None*, *autopct* is a string or function used to label the
+            wedges with their numeric value. The label will be placed inside
+            the wedge. If *autopct* is a format string, the label will be
+            ``fmt % pct``. If *autopct* is a function, then it will be called.
 
-          *pctdistance*: scalar
-            The ratio between the center of each pie slice and the
-            start of the text generated by *autopct*.  Ignored if
-            *autopct* is *None*; default is 0.6.
+        pctdistance : float, default: 0.6
+            The relative distance along the radius at which the text
+            generated by *autopct* is drawn. To draw the text outside the pie,
+            set *pctdistance* > 1. This parameter is ignored if *autopct* is
+            ``None``.
 
-          *labeldistance*: scalar
-            The radial distance at which the pie labels are drawn
+        labeldistance : float or None, default: 1.1
+            The relative distance along the radius at which the labels are
+            drawn. To draw the labels inside the pie, set  *labeldistance* < 1.
+            If set to ``None``, labels are not drawn but are still stored for
+            use in `.legend`.
 
-          *shadow*: [ *False* | *True* ]
-            Draw a shadow beneath the pie.
+        shadow : bool or dict, default: False
+            If bool, whether to draw a shadow beneath the pie. If dict, draw a shadow
+            passing the properties in the dict to `.Shadow`.
 
-          *startangle*: [ *None* | Offset angle ]
-            If not *None*, rotates the start of the pie chart by *angle*
-            degrees counterclockwise from the x-axis.
+            .. versionadded:: 3.8
+                *shadow* can be a dict.
 
-          *radius*: [ *None* | scalar ]
-          The radius of the pie, if *radius* is *None* it will be set to 1.
+        startangle : float, default: 0 degrees
+            The angle by which the start of the pie is rotated,
+            counterclockwise from the x-axis.
 
-          *counterclock*: [ *False* | *True* ]
+        radius : float, default: 1
+            The radius of the pie.
+
+        counterclock : bool, default: True
             Specify fractions direction, clockwise or counterclockwise.
 
-          *wedgeprops*: [ *None* | dict of key value pairs ]
-            Dict of arguments passed to the wedge objects making the pie.
-            For example, you can pass in wedgeprops = { 'linewidth' : 3 }
-            to set the width of the wedge border lines equal to 3.
-            For more details, look at the doc/arguments of the wedge object.
-            By default `clip_on=False`.
+        wedgeprops : dict, default: None
+            Dict of arguments passed to each `.patches.Wedge` of the pie.
+            For example, ``wedgeprops = {'linewidth': 3}`` sets the width of
+            the wedge border lines equal to 3. By default, ``clip_on=False``.
+            When there is a conflict between these properties and other
+            keywords, properties passed to *wedgeprops* take precedence.
 
-          *textprops*: [ *None* | dict of key value pairs ]
+        textprops : dict, default: None
             Dict of arguments to pass to the text objects.
 
-          *center*: [ (0,0) | sequence of 2 scalars ]
-          Center position of the chart.
-
-          *frame*: [ *False* | *True* ]
-            Plot axes frame with the chart.
+        center : (float, float), default: (0, 0)
+            The coordinates of the center of the chart.
 
-        The pie chart will probably look best if the figure and axes are
-        square, or the Axes aspect is equal.  e.g.::
+        frame : bool, default: False
+            Plot Axes frame with the chart if true.
 
-          figure(figsize=(8,8))
-          ax = axes([0.1, 0.1, 0.8, 0.8])
+        rotatelabels : bool, default: False
+            Rotate each label to the angle of the corresponding slice if true.
 
-        or::
+        normalize : bool, default: True
+            When *True*, always make a full pie by normalizing x so that
+            ``sum(x) == 1``. *False* makes a partial pie if ``sum(x) <= 1``
+            and raises a `ValueError` for ``sum(x) > 1``.
 
-          axes(aspect=1)
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        Return value:
-          If *autopct* is *None*, return the tuple (*patches*, *texts*):
+        Returns
+        -------
+        patches : list
+            A sequence of `matplotlib.patches.Wedge` instances
 
-            - *patches* is a sequence of
-              :class:`matplotlib.patches.Wedge` instances
+        texts : list
+            A list of the label `.Text` instances.
 
-            - *texts* is a list of the label
-              :class:`matplotlib.text.Text` instances.
+        autotexts : list
+            A list of `.Text` instances for the numeric labels. This will only
+            be returned if the parameter *autopct* is not *None*.
 
-          If *autopct* is not *None*, return the tuple (*patches*,
-          *texts*, *autotexts*), where *patches* and *texts* are as
-          above, and *autotexts* is a list of
-          :class:`~matplotlib.text.Text` instances for the numeric
-          labels.
+        Notes
+        -----
+        The pie chart will probably look best if the figure and Axes are
+        square, or the Axes aspect is equal.
+        This method sets the aspect ratio of the axis to "equal".
+        The Axes aspect ratio can be controlled with `.Axes.set_aspect`.
         """
+        self.set_aspect('equal')
+        # The use of float32 is "historical", but can't be changed without
+        # regenerating the test baselines.
+        x = np.asarray(x, np.float32)
+        if x.ndim > 1:
+            raise ValueError("x must be 1D")
+
+        if np.any(x < 0):
+            raise ValueError("Wedge sizes 'x' must be non negative values")
 
-        x = np.asarray(x).astype(np.float32)
+        if not np.all(np.isfinite(x)):
+            raise ValueError('Wedge sizes must be finite numbers')
 
-        sx = float(x.sum())
-        if sx > 1:
-            x = np.divide(x, sx)
+        sx = x.sum()
 
+        if sx == 0:
+            raise ValueError('All wedge sizes are zero')
+
+        if normalize:
+            x = x / sx
+        elif sx > 1:
+            raise ValueError('Cannot plot an unnormalized pie with sum(x) > 1')
         if labels is None:
             labels = [''] * len(x)
         if explode is None:
             explode = [0] * len(x)
-        assert(len(x) == len(labels))
-        assert(len(x) == len(explode))
+        if len(x) != len(labels):
+            raise ValueError(f"'labels' must be of length 'x', not {len(labels)}")
+        if len(x) != len(explode):
+            raise ValueError(f"'explode' must be of length 'x', not {len(explode)}")
         if colors is None:
-            colors = ('b', 'g', 'r', 'c', 'm', 'y', 'k', 'w')
+            get_next_color = self._get_patches_for_fill.get_next_color
+        else:
+            color_cycle = itertools.cycle(colors)
+
+            def get_next_color():
+                return next(color_cycle)
+
+        hatch_cycle = itertools.cycle(np.atleast_1d(hatch))
 
-        if radius is None:
-            radius = 1
+        _api.check_isinstance(Real, radius=radius, startangle=startangle)
+        if radius <= 0:
+            raise ValueError(f"'radius' must be a positive number, not {radius}")
 
         # Starting theta1 is the start fraction of the circle
-        if startangle is None:
-            theta1 = 0
-        else:
-            theta1 = startangle / 360.0
+        theta1 = startangle / 360
 
-        # set default values in wedge_prop
         if wedgeprops is None:
             wedgeprops = {}
-        if 'clip_on' not in wedgeprops:
-            wedgeprops['clip_on'] = False
-
         if textprops is None:
             textprops = {}
-        if 'clip_on' not in textprops:
-            textprops['clip_on'] = False
 
         texts = []
         slices = []
         autotexts = []
 
-        i = 0
-        for frac, label, expl in cbook.safezip(x, labels, explode):
+        for frac, label, expl in zip(x, labels, explode):
             x, y = center
             theta2 = (theta1 + frac) if counterclock else (theta1 - frac)
-            thetam = 2 * math.pi * 0.5 * (theta1 + theta2)
+            thetam = 2 * np.pi * 0.5 * (theta1 + theta2)
             x += expl * math.cos(thetam)
             y += expl * math.sin(thetam)
 
             w = mpatches.Wedge((x, y), radius, 360. * min(theta1, theta2),
-                            360. * max(theta1, theta2),
-                            facecolor=colors[i % len(colors)],
-                            **wedgeprops)
+                               360. * max(theta1, theta2),
+                               facecolor=get_next_color(),
+                               hatch=next(hatch_cycle),
+                               clip_on=False,
+                               label=label)
+            w.set(**wedgeprops)
             slices.append(w)
             self.add_patch(w)
-            w.set_label(label)
 
             if shadow:
-                # make sure to add a shadow after the call to
-                # add_patch so the figure and transform props will be
-                # set
-                shad = mpatches.Shadow(w, -0.02, -0.02)
-                shad.set_zorder(0.9 * w.get_zorder())
-                shad.set_label('_nolegend_')
-                self.add_patch(shad)
-
-            xt = x + labeldistance * radius * math.cos(thetam)
-            yt = y + labeldistance * radius * math.sin(thetam)
-            label_alignment = xt > 0 and 'left' or 'right'
-
-            t = self.text(xt, yt, label,
-                          size=rcParams['xtick.labelsize'],
-                          horizontalalignment=label_alignment,
-                          verticalalignment='center',
-                          **textprops)
-
-            texts.append(t)
+                # Make sure to add a shadow after the call to add_patch so the
+                # figure and transform props will be set.
+                shadow_dict = {'ox': -0.02, 'oy': -0.02, 'label': '_nolegend_'}
+                if isinstance(shadow, dict):
+                    shadow_dict.update(shadow)
+                self.add_patch(mpatches.Shadow(w, **shadow_dict))
+
+            if labeldistance is not None:
+                xt = x + labeldistance * radius * math.cos(thetam)
+                yt = y + labeldistance * radius * math.sin(thetam)
+                label_alignment_h = 'left' if xt > 0 else 'right'
+                label_alignment_v = 'center'
+                label_rotation = 'horizontal'
+                if rotatelabels:
+                    label_alignment_v = 'bottom' if yt > 0 else 'top'
+                    label_rotation = (np.rad2deg(thetam)
+                                      + (0 if xt > 0 else 180))
+                t = self.text(xt, yt, label,
+                              clip_on=False,
+                              horizontalalignment=label_alignment_h,
+                              verticalalignment=label_alignment_v,
+                              rotation=label_rotation,
+                              size=mpl.rcParams['xtick.labelsize'])
+                t.set(**textprops)
+                texts.append(t)
 
             if autopct is not None:
                 xt = x + pctdistance * radius * math.cos(thetam)
                 yt = y + pctdistance * radius * math.sin(thetam)
-                if is_string_like(autopct):
+                if isinstance(autopct, str):
                     s = autopct % (100. * frac)
-                elif six.callable(autopct):
+                elif callable(autopct):
                     s = autopct(100. * frac)
                 else:
                     raise TypeError(
                         'autopct must be callable or a format string')
-
+                if mpl._val_or_rc(textprops.get("usetex"), "text.usetex"):
+                    # escape % (i.e. \%) if it is not already escaped
+                    s = re.sub(r"([^\\])%", r"\1\\%", s)
                 t = self.text(xt, yt, s,
+                              clip_on=False,
                               horizontalalignment='center',
-                              verticalalignment='center',
-                              **textprops)
-
+                              verticalalignment='center')
+                t.set(**textprops)
                 autotexts.append(t)
 
             theta1 = theta2
-            i += 1
 
-        if not frame:
-            self.set_frame_on(False)
-
-            self.set_xlim((-1.25 + center[0],
-                            1.25 + center[0]))
-            self.set_ylim((-1.25 + center[1],
-                            1.25 + center[1]))
-            self.set_xticks([])
-            self.set_yticks([])
+        if frame:
+            self._request_autoscale_view()
+        else:
+            self.set(frame_on=False, xticks=[], yticks=[],
+                     xlim=(-1.25 + center[0], 1.25 + center[0]),
+                     ylim=(-1.25 + center[1], 1.25 + center[1]))
 
         if autopct is None:
             return slices, texts
         else:
             return slices, texts, autotexts
 
-    @docstring.dedent_interpd
+    @staticmethod
+    def _errorevery_to_mask(x, errorevery):
+        """
+        Normalize `errorbar`'s *errorevery* to be a boolean mask for data *x*.
+
+        This function is split out to be usable both by 2D and 3D errorbars.
+        """
+        if isinstance(errorevery, Integral):
+            errorevery = (0, errorevery)
+        if isinstance(errorevery, tuple):
+            if (len(errorevery) == 2 and
+                    isinstance(errorevery[0], Integral) and
+                    isinstance(errorevery[1], Integral)):
+                errorevery = slice(errorevery[0], None, errorevery[1])
+            else:
+                raise ValueError(
+                    f'{errorevery=!r} is a not a tuple of two integers')
+        elif isinstance(errorevery, slice):
+            pass
+        elif not isinstance(errorevery, str) and np.iterable(errorevery):
+            try:
+                x[errorevery]  # fancy indexing
+            except (ValueError, IndexError) as err:
+                raise ValueError(
+                    f"{errorevery=!r} is iterable but not a valid NumPy fancy "
+                    "index to match 'xerr'/'yerr'") from err
+        else:
+            raise ValueError(f"{errorevery=!r} is not a recognized value")
+        everymask = np.zeros(len(x), bool)
+        everymask[errorevery] = True
+        return everymask
+
+    @_api.make_keyword_only("3.10", "ecolor")
+    @_preprocess_data(replace_names=["x", "y", "xerr", "yerr"],
+                      label_namer="y")
+    @_docstring.interpd
     def errorbar(self, x, y, yerr=None, xerr=None,
-                 fmt='', ecolor=None, elinewidth=None, capsize=3,
+                 fmt='', ecolor=None, elinewidth=None, capsize=None,
                  barsabove=False, lolims=False, uplims=False,
-                 xlolims=False, xuplims=False, errorevery=1, capthick=None,
+                 xlolims=False, xuplims=False, errorevery=1,
+                 capthick=None, elinestyle=None,
                  **kwargs):
         """
-        Plot an errorbar graph.
+        Plot y versus x as lines and/or markers with attached errorbars.
+
+        *x*, *y* define the data locations, *xerr*, *yerr* define the errorbar
+        sizes. By default, this draws the data markers/lines as well as the
+        errorbars. Use fmt='none' to draw errorbars without any data markers.
+
+        .. versionadded:: 3.7
+           Caps and error lines are drawn in polar coordinates on polar plots.
 
-        Call signature::
 
-          errorbar(x, y, yerr=None, xerr=None,
-                   fmt='', ecolor=None, elinewidth=None, capsize=3,
-                   barsabove=False, lolims=False, uplims=False,
-                   xlolims=False, xuplims=False, errorevery=1,
-                   capthick=None)
+        Parameters
+        ----------
+        x, y : float or array-like
+            The data positions.
 
-        Plot *x* versus *y* with error deltas in *yerr* and *xerr*.
-        Vertical errorbars are plotted if *yerr* is not *None*.
-        Horizontal errorbars are plotted if *xerr* is not *None*.
+        xerr, yerr : float or array-like, shape(N,) or shape(2, N), optional
+            The errorbar sizes:
 
-        *x*, *y*, *xerr*, and *yerr* can all be scalars, which plots a
-        single error bar at *x*, *y*.
+            - scalar: Symmetric +/- values for all data points.
+            - shape(N,): Symmetric +/-values for each data point.
+            - shape(2, N): Separate - and + values for each bar. First row
+              contains the lower errors, the second row contains the upper
+              errors.
+            - *None*: No errorbar.
 
-        Optional keyword arguments:
+            All values must be >= 0.
 
-          *xerr*/*yerr*: [ scalar | N, Nx1, or 2xN array-like ]
-            If a scalar number, len(N) array-like object, or an Nx1
-            array-like object, errorbars are drawn at +/-value relative
-            to the data.
+            See :doc:`/gallery/statistics/errorbar_features`
+            for an example on the usage of ``xerr`` and ``yerr``.
+
+        fmt : str, default: ''
+            The format for the data points / data lines. See `.plot` for
+            details.
 
-            If a sequence of shape 2xN, errorbars are drawn at -row1
-            and +row2 relative to the data.
+            Use 'none' (case-insensitive) to plot errorbars without any data
+            markers.
 
-          *fmt*: [ '' | 'none' | plot format string ]
-            The plot format symbol. If *fmt* is 'none' (case-insensitive),
-            only the errorbars are plotted.  This is used for adding
-            errorbars to a bar plot, for example.  Default is '',
-            an empty plot format string; properties are
-            then identical to the defaults for :meth:`plot`.
+        ecolor : :mpltype:`color`, default: None
+            The color of the errorbar lines.  If None, use the color of the
+            line connecting the markers.
 
-          *ecolor*: [ *None* | mpl color ]
-            A matplotlib color arg which gives the color the errorbar lines;
-            if *None*, use the color of the line connecting the markers.
+        elinewidth : float, default: None
+            The linewidth of the errorbar lines. If None, the linewidth of
+            the current style is used.
 
-          *elinewidth*: scalar
-            The linewidth of the errorbar lines. If *None*, use the linewidth.
+        elinestyle : str or tuple, default: 'solid'
+           The linestyle of the errorbar lines.
+           Valid values for linestyles include {'-', '--', '-.',
+            ':', '', (offset, on-off-seq)}. See `.Line2D.set_linestyle` for a
+            complete description.
 
-          *capsize*: scalar
-            The length of the error bar caps in points
+        capsize : float, default: :rc:`errorbar.capsize`
+            The length of the error bar caps in points.
 
-          *capthick*: scalar
-            An alias kwarg to *markeredgewidth* (a.k.a. - *mew*). This
-            setting is a more sensible name for the property that
+        capthick : float, default: None
+            An alias to the keyword argument *markeredgewidth* (a.k.a. *mew*).
+            This setting is a more sensible name for the property that
             controls the thickness of the error bar cap in points. For
             backwards compatibility, if *mew* or *markeredgewidth* are given,
-            then they will over-ride *capthick*.  This may change in future
+            then they will over-ride *capthick*. This may change in future
             releases.
 
-          *barsabove*: [ *True* | *False* ]
-            if *True*, will plot the errorbars above the plot
+        barsabove : bool, default: False
+            If True, will plot the errorbars above the plot
             symbols. Default is below.
 
-          *lolims* / *uplims* / *xlolims* / *xuplims*: [ *False* | *True* ]
-            These arguments can be used to indicate that a value gives
-            only upper/lower limits. In that case a caret symbol is
-            used to indicate this. lims-arguments may be of the same
-            type as *xerr* and *yerr*.  To use limits with inverted
-            axes, :meth:`set_xlim` or :meth:`set_ylim` must be called
-            before :meth:`errorbar`.
+        lolims, uplims, xlolims, xuplims : bool or array-like, default: False
+            These arguments can be used to indicate that a value gives only
+            upper/lower limits.  In that case a caret symbol is used to
+            indicate this. *lims*-arguments may be scalars, or array-likes of
+            the same length as *xerr* and *yerr*.  To use limits with inverted
+            axes, `~.Axes.set_xlim` or `~.Axes.set_ylim` must be called before
+            :meth:`errorbar`.  Note the tricky parameter names: setting e.g.
+            *lolims* to True means that the y-value is a *lower* limit of the
+            True value, so, only an *upward*-pointing arrow will be drawn!
+
+        errorevery : int or (int, int), default: 1
+            draws error bars on a subset of the data. *errorevery* =N draws
+            error bars on the points (x[::N], y[::N]).
+            *errorevery* =(start, N) draws error bars on the points
+            (x[start::N], y[start::N]). e.g. errorevery=(6, 3)
+            adds error bars to the data at (x[6], x[9], x[12], x[15], ...).
+            Used to avoid overlapping error bars when two series share x-axis
+            values.
 
-          *errorevery*: positive integer
-            subsamples the errorbars. e.g., if everyerror=5, errorbars for
-            every 5-th datapoint will be plotted. The data plot itself still
-            shows all data points.
-
-        All other keyword arguments are passed on to the plot command for the
-        markers. For example, this code makes big red squares with
-        thick green edges::
-
-          x,y,yerr = rand(3,10)
-          errorbar(x, y, yerr, marker='s',
-                   mfc='red', mec='green', ms=20, mew=4)
-
-        where *mfc*, *mec*, *ms* and *mew* are aliases for the longer
-        property names, *markerfacecolor*, *markeredgecolor*, *markersize*
-        and *markeredgewith*.
-
-        valid kwargs for the marker properties are
-
-        %(Line2D)s
-
-        Returns (*plotline*, *caplines*, *barlinecols*):
-
-            *plotline*: :class:`~matplotlib.lines.Line2D` instance
-                *x*, *y* plot markers and/or line
-
-            *caplines*: list of error bar cap
-                :class:`~matplotlib.lines.Line2D` instances
-            *barlinecols*: list of
-                :class:`~matplotlib.collections.LineCollection` instances for
-                the horizontal and vertical error ranges.
-
-        **Example:**
+        Returns
+        -------
+        `.ErrorbarContainer`
+            The container contains:
 
-        .. plot:: mpl_examples/statistics/errorbar_demo.py
+            - data_line : A `~matplotlib.lines.Line2D` instance of x, y plot markers
+              and/or line.
+            - caplines : A tuple of `~matplotlib.lines.Line2D` instances of the error
+              bar caps.
+            - barlinecols : A tuple of `.LineCollection` with the horizontal and
+              vertical error ranges.
 
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            All other keyword arguments are passed on to the `~.Axes.plot` call
+            drawing the markers. For example, this code makes big red squares
+            with thick green edges::
+
+                x, y, yerr = rand(3, 10)
+                errorbar(x, y, yerr, marker='s', mfc='red',
+                         mec='green', ms=20, mew=4)
+
+            where *mfc*, *mec*, *ms* and *mew* are aliases for the longer
+            property names, *markerfacecolor*, *markeredgecolor*, *markersize*
+            and *markeredgewidth*.
+
+            Valid kwargs for the marker properties are:
+
+            - *dashes*
+            - *dash_capstyle*
+            - *dash_joinstyle*
+            - *drawstyle*
+            - *fillstyle*
+            - *linestyle*
+            - *marker*
+            - *markeredgecolor*
+            - *markeredgewidth*
+            - *markerfacecolor*
+            - *markerfacecoloralt*
+            - *markersize*
+            - *markevery*
+            - *solid_capstyle*
+            - *solid_joinstyle*
+
+            Refer to the corresponding `.Line2D` property for more details:
+
+            %(Line2D:kwdoc)s
         """
+        kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
+        # Drop anything that comes in as None to use the default instead.
+        kwargs = {k: v for k, v in kwargs.items() if v is not None}
+        kwargs.setdefault('zorder', 2)
+
+        # Casting to object arrays preserves units.
+        if not isinstance(x, np.ndarray):
+            x = np.asarray(x, dtype=object)
+        if not isinstance(y, np.ndarray):
+            y = np.asarray(y, dtype=object)
+
+        def _upcast_err(err):
+            """
+            Safely handle tuple of containers that carry units.
 
-        if errorevery < 1:
-            raise ValueError(
-                'errorevery has to be a strictly positive integer')
+            This function covers the case where the input to the xerr/yerr is a
+            length 2 tuple of equal length ndarray-subclasses that carry the
+            unit information in the container.
 
-        self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
-        if not self._hold:
-            self.cla()
-        holdstate = self._hold
-        self._hold = True
+            If we have a tuple of nested numpy array (subclasses), we defer
+            coercing the units to be consistent to the underlying unit
+            library (and implicitly the broadcasting).
 
-        if fmt is None:
-            fmt = 'none'
-            msg = ('Use of None object as fmt keyword argument to '
-                   + 'suppress plotting of data values is deprecated '
-                   + 'since 1.4; use the string "none" instead.')
-            warnings.warn(msg, mplDeprecation, stacklevel=1)
+            Otherwise, fallback to casting to an object array.
+            """
 
-        plot_line = (fmt.lower() != 'none')
+            if (
+                    # make sure it is not a scalar
+                    np.iterable(err) and
+                    # and it is not empty
+                    len(err) > 0 and
+                    # and the first element is an array sub-class use
+                    # safe_first_element because getitem is index-first not
+                    # location first on pandas objects so err[0] almost always
+                    # fails.
+                    isinstance(cbook._safe_first_finite(err), np.ndarray)
+            ):
+                # Get the type of the first element
+                atype = type(cbook._safe_first_finite(err))
+                # Promote the outer container to match the inner container
+                if atype is np.ndarray:
+                    # Converts using np.asarray, because data cannot
+                    # be directly passed to init of np.ndarray
+                    return np.asarray(err, dtype=object)
+                # If atype is not np.ndarray, directly pass data to init.
+                # This works for types such as unyts and astropy units
+                return atype(err)
+            # Otherwise wrap it in an object array
+            return np.asarray(err, dtype=object)
+
+        if xerr is not None and not isinstance(xerr, np.ndarray):
+            xerr = _upcast_err(xerr)
+        if yerr is not None and not isinstance(yerr, np.ndarray):
+            yerr = _upcast_err(yerr)
+        x, y = np.atleast_1d(x, y)  # Make sure all the args are iterable.
+        if len(x) != len(y):
+            raise ValueError("'x' and 'y' must have the same size")
+
+        everymask = self._errorevery_to_mask(x, errorevery)
 
         label = kwargs.pop("label", None)
-
-        # make sure all the args are iterable; use lists not arrays to
-        # preserve units
-        if not iterable(x):
-            x = [x]
-
-        if not iterable(y):
-            y = [y]
-
-        if xerr is not None:
-            if not iterable(xerr):
-                xerr = [xerr] * len(x)
-
-        if yerr is not None:
-            if not iterable(yerr):
-                yerr = [yerr] * len(y)
-
-        l0 = None
-
-        # Instead of using zorder, the line plot is being added
-        # either here, or after all the errorbar plot elements.
-        if barsabove and plot_line:
-            l0, = self.plot(x, y, fmt, label="_nolegend_", **kwargs)
-
-        barcols = []
-        caplines = []
-
-        lines_kw = {'label': '_nolegend_'}
-        if elinewidth:
-            lines_kw['linewidth'] = elinewidth
-        else:
-            for key in ('linewidth', 'lw'):
-                if key in kwargs:
-                    lines_kw[key] = kwargs[key]
-        for key in ('transform', 'alpha', 'zorder'):
-            if key in kwargs:
-                lines_kw[key] = kwargs[key]
-
-        # arrays fine here, they are booleans and hence not units
-        if not iterable(lolims):
-            lolims = np.asarray([lolims] * len(x), bool)
-        else:
-            lolims = np.asarray(lolims, bool)
-
-        if not iterable(uplims):
-            uplims = np.array([uplims] * len(x), bool)
+        kwargs['label'] = '_nolegend_'
+
+        # Create the main line and determine overall kwargs for child artists.
+        # We avoid calling self.plot() directly, or self._get_lines(), because
+        # that would call self._process_unit_info again, and do other indirect
+        # data processing.
+        (data_line, base_style), = self._get_lines._plot_args(
+            self, (x, y) if fmt == '' else (x, y, fmt), kwargs, return_kwargs=True)
+
+        # Do this after creating `data_line` to avoid modifying `base_style`.
+        if barsabove:
+            data_line.set_zorder(kwargs['zorder'] - .1)
         else:
-            uplims = np.asarray(uplims, bool)
+            data_line.set_zorder(kwargs['zorder'] + .1)
 
-        if not iterable(xlolims):
-            xlolims = np.array([xlolims] * len(x), bool)
+        # Add line to plot, or throw it away and use it to determine kwargs.
+        if fmt.lower() != 'none':
+            self.add_line(data_line)
         else:
-            xlolims = np.asarray(xlolims, bool)
-
-        if not iterable(xuplims):
-            xuplims = np.array([xuplims] * len(x), bool)
-        else:
-            xuplims = np.asarray(xuplims, bool)
-
-        everymask = np.arange(len(x)) % errorevery == 0
+            data_line = None
+            # Remove alpha=0 color that _get_lines._plot_args returns for
+            # 'none' format, and replace it with user-specified color, if
+            # supplied.
+            base_style.pop('color')
+            if 'color' in kwargs:
+                base_style['color'] = kwargs.pop('color')
+
+        if 'color' not in base_style:
+            base_style['color'] = 'C0'
+        if ecolor is None:
+            ecolor = base_style['color']
+
+        # Eject any line-specific information from format string, as it's not
+        # needed for bars or caps.
+        for key in ['marker', 'markersize', 'markerfacecolor',
+                    'markerfacecoloralt',
+                    'markeredgewidth', 'markeredgecolor', 'markevery',
+                    'linestyle', 'fillstyle', 'drawstyle', 'dash_capstyle',
+                    'dash_joinstyle', 'solid_capstyle', 'solid_joinstyle',
+                    'dashes']:
+            base_style.pop(key, None)
+
+        # Make the style dict for the line collections (the bars).
+        eb_lines_style = {**base_style, 'color': ecolor}
+
+        if elinewidth is not None:
+            eb_lines_style['linewidth'] = elinewidth
+        elif 'linewidth' in kwargs:
+            eb_lines_style['linewidth'] = kwargs['linewidth']
+
+        for key in ('transform', 'alpha', 'zorder', 'rasterized'):
+            if key in kwargs:
+                eb_lines_style[key] = kwargs[key]
 
-        def xywhere(xs, ys, mask):
-            """
-            return xs[mask], ys[mask] where mask is True but xs and
-            ys are not arrays
-            """
-            assert len(xs) == len(ys)
-            assert len(xs) == len(mask)
-            xs = [thisx for thisx, b in zip(xs, mask) if b]
-            ys = [thisy for thisy, b in zip(ys, mask) if b]
-            return xs, ys
+        if elinestyle is not None:
+            eb_lines_style['linestyle'] = elinestyle
 
-        plot_kw = {'label': '_nolegend_'}
+        # Make the style dict for caps (the "hats").
+        eb_cap_style = {**base_style, 'linestyle': 'none'}
+        capsize = mpl._val_or_rc(capsize, "errorbar.capsize")
         if capsize > 0:
-            plot_kw['ms'] = 2. * capsize
+            eb_cap_style['markersize'] = 2. * capsize
         if capthick is not None:
-            # 'mew' has higher priority, I believe,
-            # if both 'mew' and 'markeredgewidth' exists.
-            # So, save capthick to markeredgewidth so that
-            # explicitly setting mew or markeredgewidth will
-            # over-write capthick.
-            plot_kw['markeredgewidth'] = capthick
+            eb_cap_style['markeredgewidth'] = capthick
+
         # For backwards-compat, allow explicit setting of
-        # 'mew' or 'markeredgewidth' to over-ride capthick.
-        for key in ('markeredgewidth', 'mew', 'transform', 'alpha', 'zorder'):
+        # 'markeredgewidth' to over-ride capthick.
+        for key in ('markeredgewidth', 'transform', 'alpha',
+                    'zorder', 'rasterized'):
             if key in kwargs:
-                plot_kw[key] = kwargs[key]
-
-        if xerr is not None:
-            if (iterable(xerr) and len(xerr) == 2 and
-                iterable(xerr[0]) and iterable(xerr[1])):
-                # using list comps rather than arrays to preserve units
-                left = [thisx - thiserr for (thisx, thiserr)
-                        in cbook.safezip(x, xerr[0])]
-                right = [thisx + thiserr for (thisx, thiserr)
-                         in cbook.safezip(x, xerr[1])]
-            else:
-                # using list comps rather than arrays to preserve units
-                left = [thisx - thiserr for (thisx, thiserr)
-                        in cbook.safezip(x, xerr)]
-                right = [thisx + thiserr for (thisx, thiserr)
-                         in cbook.safezip(x, xerr)]
-
-            # select points without upper/lower limits in x and
-            # draw normal errorbars for these points
-            noxlims = ~(xlolims | xuplims)
-            if noxlims.any():
-                yo, _ = xywhere(y, right, noxlims & everymask)
-                lo, ro = xywhere(left, right, noxlims & everymask)
-                barcols.append(self.hlines(yo, lo, ro, **lines_kw))
-                if capsize > 0:
-                    caplines.extend(self.plot(lo, yo, 'k|', **plot_kw))
-                    caplines.extend(self.plot(ro, yo, 'k|', **plot_kw))
-
-            if xlolims.any():
-                yo, _ = xywhere(y, right, xlolims & everymask)
-                lo, ro = xywhere(x, right, xlolims & everymask)
-                barcols.append(self.hlines(yo, lo, ro, **lines_kw))
-                rightup, yup = xywhere(right, y, xlolims & everymask)
-                if self.xaxis_inverted():
-                    marker = mlines.CARETLEFT
-                else:
-                    marker = mlines.CARETRIGHT
-                caplines.extend(
-                    self.plot(rightup, yup, ls='None', marker=marker,
-                              **plot_kw))
-                if capsize > 0:
-                    xlo, ylo = xywhere(x, y, xlolims & everymask)
-                    caplines.extend(self.plot(xlo, ylo, 'k|', **plot_kw))
-
-            if xuplims.any():
-                yo, _ = xywhere(y, right, xuplims & everymask)
-                lo, ro = xywhere(left, x, xuplims & everymask)
-                barcols.append(self.hlines(yo, lo, ro, **lines_kw))
-                leftlo, ylo = xywhere(left, y, xuplims & everymask)
-                if self.xaxis_inverted():
-                    marker = mlines.CARETRIGHT
-                else:
-                    marker = mlines.CARETLEFT
-                caplines.extend(
-                    self.plot(leftlo,  ylo, ls='None', marker=marker,
-                              **plot_kw))
-                if capsize > 0:
-                    xup, yup = xywhere(x, y, xuplims & everymask)
-                    caplines.extend(self.plot(xup, yup, 'k|', **plot_kw))
-
-        if yerr is not None:
-            if (iterable(yerr) and len(yerr) == 2 and
-                iterable(yerr[0]) and iterable(yerr[1])):
-                # using list comps rather than arrays to preserve units
-                lower = [thisy - thiserr for (thisy, thiserr)
-                         in cbook.safezip(y, yerr[0])]
-                upper = [thisy + thiserr for (thisy, thiserr)
-                         in cbook.safezip(y, yerr[1])]
-            else:
-                # using list comps rather than arrays to preserve units
-                lower = [thisy - thiserr for (thisy, thiserr)
-                         in cbook.safezip(y, yerr)]
-                upper = [thisy + thiserr for (thisy, thiserr)
-                         in cbook.safezip(y, yerr)]
-
-            # select points without upper/lower limits in y and
-            # draw normal errorbars for these points
-            noylims = ~(lolims | uplims)
-            if noylims.any():
-                xo, _ = xywhere(x, lower, noylims & everymask)
-                lo, uo = xywhere(lower, upper, noylims & everymask)
-                barcols.append(self.vlines(xo, lo, uo, **lines_kw))
-                if capsize > 0:
-                    caplines.extend(self.plot(xo, lo, 'k_', **plot_kw))
-                    caplines.extend(self.plot(xo, uo, 'k_', **plot_kw))
-
-            if lolims.any():
-                xo, _ = xywhere(x, lower, lolims & everymask)
-                lo, uo = xywhere(y, upper, lolims & everymask)
-                barcols.append(self.vlines(xo, lo, uo, **lines_kw))
-                xup, upperup = xywhere(x, upper, lolims & everymask)
-                if self.yaxis_inverted():
-                    marker = mlines.CARETDOWN
-                else:
-                    marker = mlines.CARETUP
-                caplines.extend(
-                    self.plot(xup, upperup, ls='None', marker=marker,
-                              **plot_kw))
-                if capsize > 0:
-                    xlo, ylo = xywhere(x, y, lolims & everymask)
-                    caplines.extend(self.plot(xlo, ylo, 'k_', **plot_kw))
-
-            if uplims.any():
-                xo, _ = xywhere(x, lower, uplims & everymask)
-                lo, uo = xywhere(lower, y, uplims & everymask)
-                barcols.append(self.vlines(xo, lo, uo, **lines_kw))
-                xlo, lowerlo = xywhere(x, lower, uplims & everymask)
-                if self.yaxis_inverted():
-                    marker = mlines.CARETUP
-                else:
-                    marker = mlines.CARETDOWN
-                caplines.extend(
-                    self.plot(xlo, lowerlo, ls='None', marker=marker,
-                              **plot_kw))
-                if capsize > 0:
-                    xup, yup = xywhere(x, y, uplims & everymask)
-                    caplines.extend(self.plot(xup, yup, 'k_', **plot_kw))
-
-        if not barsabove and plot_line:
-            l0, = self.plot(x, y, fmt, **kwargs)
-
-        if ecolor is None:
-            if l0 is None:
-                ecolor = six.next(self._get_lines.color_cycle)
-            else:
-                ecolor = l0.get_color()
+                eb_cap_style[key] = kwargs[key]
+        eb_cap_style["markeredgecolor"] = ecolor
 
-        for l in barcols:
-            l.set_color(ecolor)
-        for l in caplines:
-            l.set_color(ecolor)
-
-        self.autoscale_view()
-        self._hold = holdstate
-
-        errorbar_container = ErrorbarContainer((l0, tuple(caplines),
-                                                tuple(barcols)),
-                                               has_xerr=(xerr is not None),
-                                               has_yerr=(yerr is not None),
-                                               label=label)
-        self.containers.append(errorbar_container)
+        barcols = []
+        caplines = {'x': [], 'y': []}
+
+        # Vectorized fancy-indexer.
+        def apply_mask(arrays, mask):
+            return [array[mask] for array in arrays]
+
+        # dep: dependent dataset, indep: independent dataset
+        for (dep_axis, dep, err, lolims, uplims, indep, lines_func,
+             marker, lomarker, himarker) in [
+                ("x", x, xerr, xlolims, xuplims, y, self.hlines,
+                 "|", mlines.CARETRIGHTBASE, mlines.CARETLEFTBASE),
+                ("y", y, yerr, lolims, uplims, x, self.vlines,
+                 "_", mlines.CARETUPBASE, mlines.CARETDOWNBASE),
+        ]:
+            if err is None:
+                continue
+            lolims = np.broadcast_to(lolims, len(dep)).astype(bool)
+            uplims = np.broadcast_to(uplims, len(dep)).astype(bool)
+            try:
+                np.broadcast_to(err, (2, len(dep)))
+            except ValueError:
+                raise ValueError(
+                    f"'{dep_axis}err' (shape: {np.shape(err)}) must be a "
+                    f"scalar or a 1D or (2, n) array-like whose shape matches "
+                    f"'{dep_axis}' (shape: {np.shape(dep)})") from None
+            if err.dtype is np.dtype(object) and np.any(err == None):  # noqa: E711
+                raise ValueError(
+                    f"'{dep_axis}err' must not contain None. "
+                    "Use NaN if you want to skip a value.")
+
+            # Raise if any errors are negative, but not if they are nan.
+            # To avoid nan comparisons (which lead to warnings on some
+            # platforms), we select with `err==err` (which is False for nan).
+            # Also, since datetime.timedelta cannot be compared with 0,
+            # we compare with the negative error instead.
+            if np.any((check := err[err == err]) < -check):
+                raise ValueError(
+                    f"'{dep_axis}err' must not contain negative values")
+            # This is like
+            #     elow, ehigh = np.broadcast_to(...)
+            #     return dep - elow * ~lolims, dep + ehigh * ~uplims
+            # except that broadcast_to would strip units.
+            low, high = dep + np.vstack([-(1 - lolims), 1 - uplims]) * err
+            barcols.append(lines_func(
+                *apply_mask([indep, low, high], everymask), **eb_lines_style))
+            if self.name == "polar" and dep_axis == "x":
+                for b in barcols:
+                    for p in b.get_paths():
+                        p._interpolation_steps = 2
+            # Normal errorbars for points without upper/lower limits.
+            nolims = ~(lolims | uplims)
+            if nolims.any() and capsize > 0:
+                indep_masked, lo_masked, hi_masked = apply_mask(
+                    [indep, low, high], nolims & everymask)
+                for lh_masked in [lo_masked, hi_masked]:
+                    # Since this has to work for x and y as dependent data, we
+                    # first set both x and y to the independent variable and
+                    # overwrite the respective dependent data in a second step.
+                    line = mlines.Line2D(indep_masked, indep_masked,
+                                         marker=marker, **eb_cap_style)
+                    line.set(**{f"{dep_axis}data": lh_masked})
+                    caplines[dep_axis].append(line)
+            for idx, (lims, hl) in enumerate([(lolims, high), (uplims, low)]):
+                if not lims.any():
+                    continue
+                hlmarker = (
+                    himarker
+                    if self._axis_map[dep_axis].get_inverted() ^ idx
+                    else lomarker)
+                x_masked, y_masked, hl_masked = apply_mask(
+                    [x, y, hl], lims & everymask)
+                # As above, we set the dependent data in a second step.
+                line = mlines.Line2D(x_masked, y_masked,
+                                     marker=hlmarker, **eb_cap_style)
+                line.set(**{f"{dep_axis}data": hl_masked})
+                caplines[dep_axis].append(line)
+                if capsize > 0:
+                    caplines[dep_axis].append(mlines.Line2D(
+                        x_masked, y_masked, marker=marker, **eb_cap_style))
+        if self.name == 'polar':
+            trans_shift = self.transShift
+            for axis in caplines:
+                for l in caplines[axis]:
+                    # Rotate caps to be perpendicular to the error bars
+                    for theta, r in zip(l.get_xdata(), l.get_ydata()):
+                        rotation = _ScaledRotation(theta=theta, trans_shift=trans_shift)
+                        if axis == 'y':
+                            rotation += mtransforms.Affine2D().rotate(np.pi / 2)
+                        ms = mmarkers.MarkerStyle(marker=marker,
+                                                  transform=rotation)
+                        self.add_line(mlines.Line2D([theta], [r], marker=ms,
+                                                    **eb_cap_style))
+        else:
+            for axis in caplines:
+                for l in caplines[axis]:
+                    self.add_line(l)
+
+        self._request_autoscale_view()
+        caplines = caplines['x'] + caplines['y']
+        errorbar_container = ErrorbarContainer(
+            (data_line, tuple(caplines), tuple(barcols)),
+            has_xerr=(xerr is not None), has_yerr=(yerr is not None),
+            label=label)
+        self.add_container(errorbar_container)
 
         return errorbar_container  # (l0, caplines, barcols)
 
-    def boxplot(self, x, notch=False, sym=None, vert=True, whis=1.5,
-                positions=None, widths=None, patch_artist=False,
-                bootstrap=None, usermedians=None, conf_intervals=None,
-                meanline=False, showmeans=False, showcaps=True,
-                showbox=True, showfliers=True, boxprops=None, labels=None,
-                flierprops=None, medianprops=None, meanprops=None,
-                capprops=None, whiskerprops=None, manage_xticks=True):
+    @_api.make_keyword_only("3.10", "notch")
+    @_preprocess_data()
+    @_api.rename_parameter("3.9", "labels", "tick_labels")
+    def boxplot(self, x, notch=None, sym=None, vert=None,
+                orientation='vertical', whis=None, positions=None,
+                widths=None, patch_artist=None, bootstrap=None,
+                usermedians=None, conf_intervals=None,
+                meanline=None, showmeans=None, showcaps=None,
+                showbox=None, showfliers=None, boxprops=None,
+                tick_labels=None, flierprops=None, medianprops=None,
+                meanprops=None, capprops=None, whiskerprops=None,
+                manage_ticks=True, autorange=False, zorder=None,
+                capwidths=None, label=None):
         """
-        Make a box and whisker plot.
+        Draw a box and whisker plot.
 
-        Call signature::
+        The box extends from the first quartile (Q1) to the third
+        quartile (Q3) of the data, with a line at the median.
+        The whiskers extend from the box to the farthest data point
+        lying within 1.5x the inter-quartile range (IQR) from the box.
+        Flier points are those past the end of the whiskers.
+        See https://en.wikipedia.org/wiki/Box_plot for reference.
+
+        .. code-block:: none
 
-          boxplot(self, x, notch=False, sym='b+', vert=True, whis=1.5,
-                  positions=None, widths=None, patch_artist=False,
-                  bootstrap=None, usermedians=None, conf_intervals=None,
-                  meanline=False, showmeans=False, showcaps=True,
-                  showbox=True, showfliers=True, boxprops=None, labels=None,
-                  flierprops=None, medianprops=None, meanprops=None,
-                  capprops=None, whiskerprops=None, manage_xticks=True):
+                  Q1-1.5IQR   Q1   median  Q3   Q3+1.5IQR
+                               |-----:-----|
+               o      |--------|     :     |--------|    o  o
+                               |-----:-----|
+             flier             <----------->            fliers
+                                    IQR
 
-        Make a box and whisker plot for each column of *x* or each
-        vector in sequence *x*.  The box extends from the lower to
-        upper quartile values of the data, with a line at the median.
-        The whiskers extend from the box to show the range of the
-        data.  Flier points are those past the end of the whiskers.
 
         Parameters
         ----------
-
-          x : Array or a sequence of vectors.
-            The input data.
-
-          notch : bool, default = False
-            If False, produces a rectangular box plot.
-            If True, will produce a notched box plot
-
-          sym : str or None, default = None
-            The default symbol for flier points.
-            Enter an empty string ('') if you don't want to show fliers.
-            If `None`, then the fliers default to 'b+'  If you want more
-            control use the fliersprop kwarg.
-
-          vert : bool, default = True
-            If True (default), makes the boxes vertical.
-            If False, makes horizontal boxes.
-
-          whis : float, sequence (default = 1.5) or string
-            As a float, determines the reach of the whiskers past the first
-            and third quartiles (e.g., Q3 + whis*IQR, IQR = interquartile
-            range, Q3-Q1). Beyond the whiskers, data are considered outliers
-            and are plotted as individual points. Set this to an unreasonably
-            high value to force the whiskers to show the min and max values.
-            Alternatively, set this to an ascending sequence of percentile
-            (e.g., [5, 95]) to set the whiskers at specific percentiles of
-            the data. Finally, *whis* can be the string 'range' to force the
-            whiskers to the min and max of the data. In the edge case that
-            the 25th and 75th percentiles are equivalent, *whis* will be
-            automatically set to 'range'.
-
-          bootstrap : None (default) or integer
+        x : Array or a sequence of vectors.
+            The input data.  If a 2D array, a boxplot is drawn for each column
+            in *x*.  If a sequence of 1D arrays, a boxplot is drawn for each
+            array in *x*.
+
+        notch : bool, default: :rc:`boxplot.notch`
+            Whether to draw a notched boxplot (`True`), or a rectangular
+            boxplot (`False`).  The notches represent the confidence interval
+            (CI) around the median.  The documentation for *bootstrap*
+            describes how the locations of the notches are computed by
+            default, but their locations may also be overridden by setting the
+            *conf_intervals* parameter.
+
+            .. note::
+
+                In cases where the values of the CI are less than the
+                lower quartile or greater than the upper quartile, the
+                notches will extend beyond the box, giving it a
+                distinctive "flipped" appearance. This is expected
+                behavior and consistent with other statistical
+                visualization packages.
+
+        sym : str, optional
+            The default symbol for flier points.  An empty string ('') hides
+            the fliers.  If `None`, then the fliers default to 'b+'.  More
+            control is provided by the *flierprops* parameter.
+
+        vert : bool, optional
+            .. deprecated:: 3.11
+                Use *orientation* instead.
+
+                If this is given during the deprecation period, it overrides
+                the *orientation* parameter.
+
+            If True, plots the boxes vertically.
+            If False, plots the boxes horizontally.
+
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            If 'horizontal', plots the boxes horizontally.
+            Otherwise, plots the boxes vertically.
+
+            .. versionadded:: 3.10
+
+        whis : float or (float, float), default: 1.5
+            The position of the whiskers.
+
+            If a float, the lower whisker is at the lowest datum above
+            ``Q1 - whis*(Q3-Q1)``, and the upper whisker at the highest datum
+            below ``Q3 + whis*(Q3-Q1)``, where Q1 and Q3 are the first and
+            third quartiles.  The default value of ``whis = 1.5`` corresponds
+            to Tukey's original definition of boxplots.
+
+            If a pair of floats, they indicate the percentiles at which to
+            draw the whiskers (e.g., (5, 95)).  In particular, setting this to
+            (0, 100) results in whiskers covering the whole range of the data.
+
+            In the edge case where ``Q1 == Q3``, *whis* is automatically set
+            to (0, 100) (cover the whole range of the data) if *autorange* is
+            True.
+
+            Beyond the whiskers, data are considered outliers and are plotted
+            as individual points.
+
+        bootstrap : int, optional
             Specifies whether to bootstrap the confidence intervals
-            around the median for notched boxplots. If bootstrap==None,
-            no bootstrapping is performed, and notches are calculated
-            using a Gaussian-based asymptotic approximation  (see McGill, R.,
-            Tukey, J.W., and Larsen, W.A., 1978, and Kendall and Stuart,
-            1967). Otherwise, bootstrap specifies the number of times to
-            bootstrap the median to determine it's 95% confidence intervals.
-            Values between 1000 and 10000 are recommended.
-
-          usermedians : array-like or None (default)
-            An array or sequence whose first dimension (or length) is
-            compatible with *x*. This overrides the medians computed by
-            matplotlib for each element of *usermedians* that is not None.
-            When an element of *usermedians* == None, the median will be
-            computed by matplotlib as normal.
-
-          conf_intervals : array-like or None (default)
-            Array or sequence whose first dimension (or length) is compatible
-            with *x* and whose second dimension is 2. When the current element
-            of *conf_intervals* is not None, the notch locations computed by
-            matplotlib are overridden (assuming notch is True). When an
-            element of *conf_intervals* is None, boxplot compute notches the
-            method specified by the other kwargs (e.g., *bootstrap*).
-
-          positions : array-like, default = [1, 2, ..., n]
-            Sets the positions of the boxes. The ticks and limits
-            are automatically set to match the positions.
-
-          widths : array-like, default = 0.5
-            Either a scalar or a vector and sets the width of each box. The
-            default is 0.5, or ``0.15*(distance between extreme positions)``
-            if that is smaller.
-
-          labels : sequence or None (default)
-                Labels for each dataset. Length must be compatible with
-                dimensions  of *x*
-
-          patch_artist : bool, default = False
-            If False produces boxes with the Line2D artist
-            If True produces boxes with the Patch artist
-
-          showmeans : bool, default = False
-            If True, will toggle one the rendering of the means
+            around the median for notched boxplots. If *bootstrap* is
+            None, no bootstrapping is performed, and notches are
+            calculated using a Gaussian-based asymptotic approximation
+            (see McGill, R., Tukey, J.W., and Larsen, W.A., 1978, and
+            Kendall and Stuart, 1967). Otherwise, bootstrap specifies
+            the number of times to bootstrap the median to determine its
+            95% confidence intervals. Values between 1000 and 10000 are
+            recommended.
+
+        usermedians : 1D array-like, optional
+            A 1D array-like of length ``len(x)``.  Each entry that is not
+            `None` forces the value of the median for the corresponding
+            dataset.  For entries that are `None`, the medians are computed
+            by Matplotlib as normal.
+
+        conf_intervals : array-like, optional
+            A 2D array-like of shape ``(len(x), 2)``.  Each entry that is not
+            None forces the location of the corresponding notch (which is
+            only drawn if *notch* is `True`).  For entries that are `None`,
+            the notches are computed by the method specified by the other
+            parameters (e.g., *bootstrap*).
+
+        positions : array-like, optional
+            The positions of the boxes. The ticks and limits are
+            automatically set to match the positions. Defaults to
+            ``range(1, N+1)`` where N is the number of boxes to be drawn.
+
+        widths : float or array-like
+            The widths of the boxes.  The default is 0.5, or ``0.15*(distance
+            between extreme positions)``, if that is smaller.
+
+        patch_artist : bool, default: :rc:`boxplot.patchartist`
+            If `False` produces boxes with the Line2D artist. Otherwise,
+            boxes are drawn with Patch artists.
+
+        tick_labels : list of str, optional
+            The tick labels of each boxplot.
+            Ticks are always placed at the box *positions*. If *tick_labels* is given,
+            the ticks are labelled accordingly. Otherwise, they keep their numeric
+            values.
+
+            .. versionchanged:: 3.9
+                Renamed from *labels*, which is deprecated since 3.9
+                and will be removed in 3.11.
+
+        manage_ticks : bool, default: True
+            If True, the tick locations and labels will be adjusted to match
+            the boxplot positions.
+
+        autorange : bool, default: False
+            When `True` and the data are distributed such that the 25th and
+            75th percentiles are equal, *whis* is set to (0, 100) such
+            that the whisker ends are at the minimum and maximum of the data.
+
+        meanline : bool, default: :rc:`boxplot.meanline`
+            If `True` (and *showmeans* is `True`), will try to render the
+            mean as a line spanning the full width of the box according to
+            *meanprops* (see below).  Not recommended if *shownotches* is also
+            True.  Otherwise, means will be shown as points.
+
+        zorder : float, default: ``Line2D.zorder = 2``
+            The zorder of the boxplot.
 
-          showcaps : bool, default = True
-            If True, will toggle one the rendering of the caps
-
-          showbox : bool, default = True
-            If True, will toggle one the rendering of box
-
-          showfliers : bool, default = True
-            If True, will toggle one the rendering of the fliers
-
-          boxprops : dict or None (default)
-            If provided, will set the plotting style of the boxes
-
-          whiskerprops : dict or None (default)
-            If provided, will set the plotting style of the whiskers
-
-          capprops : dict or None (default)
-            If provided, will set the plotting style of the caps
+        Returns
+        -------
+        dict
+          A dictionary mapping each component of the boxplot to a list
+          of the `.Line2D` instances created. That dictionary has the
+          following keys (assuming vertical boxplots):
 
-          flierprops : dict or None (default)
-            If provided, will set the plotting style of the fliers
+          - ``boxes``: the main body of the boxplot showing the
+            quartiles and the median's confidence intervals if
+            enabled.
 
-          medianprops : dict or None (default)
-            If provided, will set the plotting style of the medians
+          - ``medians``: horizontal lines at the median of each box.
 
-          meanprops : dict or None (default)
-            If provided, will set the plotting style of the means
+          - ``whiskers``: the vertical lines extending to the most
+            extreme, non-outlier data points.
 
-          meanline : bool, default = False
-            If True (and *showmeans* is True), will try to render the mean
-            as a line spanning the full width of the box according to
-            *meanprops*. Not recommended if *shownotches* is also True.
-            Otherwise, means will be shown as points.
+          - ``caps``: the horizontal lines at the ends of the
+            whiskers.
 
-        Returns
-        -------
+          - ``fliers``: points representing data that extend beyond
+            the whiskers (fliers).
 
-        result : dict
-            A dictionary mapping each component of the boxplot
-            to a list of the :class:`matplotlib.lines.Line2D`
-            instances created. That dictionary has the following keys
-            (assuming vertical boxplots):
-
-            - boxes: the main body of the boxplot showing the quartiles
-              and the median's confidence intervals if enabled.
-            - medians: horizonal lines at the median of each box.
-            - whiskers: the vertical lines extending to the most extreme,
-              n-outlier data points.
-            - caps: the horizontal lines at the ends of the whiskers.
-            - fliers: points representing data that extend beyond the
-              whiskers (outliers).
-            - means: points or lines representing the means.
+          - ``means``: points or lines representing the means.
 
-        Examples
+        Other Parameters
+        ----------------
+        showcaps : bool, default: :rc:`boxplot.showcaps`
+            Show the caps on the ends of whiskers.
+        showbox : bool, default: :rc:`boxplot.showbox`
+            Show the central box.
+        showfliers : bool, default: :rc:`boxplot.showfliers`
+            Show the outliers beyond the caps.
+        showmeans : bool, default: :rc:`boxplot.showmeans`
+            Show the arithmetic means.
+        capprops : dict, default: None
+            The style of the caps.
+        capwidths : float or array, default: None
+            The widths of the caps.
+        boxprops : dict, default: None
+            The style of the box.
+        whiskerprops : dict, default: None
+            The style of the whiskers.
+        flierprops : dict, default: None
+            The style of the fliers.
+        medianprops : dict, default: None
+            The style of the median.
+        meanprops : dict, default: None
+            The style of the mean.
+        label : str or list of str, optional
+            Legend labels. Use a single string when all boxes have the same style and
+            you only want a single legend entry for them. Use a list of strings to
+            label all boxes individually. To be distinguishable, the boxes should be
+            styled individually, which is currently only possible by modifying the
+            returned artists, see e.g. :doc:`/gallery/statistics/boxplot_demo`.
+
+            In the case of a single string, the legend entry will technically be
+            associated with the first box only. By default, the legend will show the
+            median line (``result["medians"]``); if *patch_artist* is True, the legend
+            will show the box `.Patch` artists (``result["boxes"]``) instead.
+
+            .. versionadded:: 3.9
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        See Also
         --------
-
-        .. plot:: mpl_examples/statistics/boxplot_demo.py
+        .Axes.bxp : Draw a boxplot from pre-computed statistics.
+        violinplot : Draw an estimate of the probability density function.
         """
+
+        # Missing arguments default to rcParams.
+        whis = mpl._val_or_rc(whis, 'boxplot.whiskers')
+        bootstrap = mpl._val_or_rc(bootstrap, 'boxplot.bootstrap')
+
         bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
-                                       labels=labels)
-        # make sure we have a dictionary
+                                       labels=tick_labels, autorange=autorange)
+        notch = mpl._val_or_rc(notch, 'boxplot.notch')
+        patch_artist = mpl._val_or_rc(patch_artist, 'boxplot.patchartist')
+        meanline = mpl._val_or_rc(meanline, 'boxplot.meanline')
+        showmeans = mpl._val_or_rc(showmeans, 'boxplot.showmeans')
+        showcaps = mpl._val_or_rc(showcaps, 'boxplot.showcaps')
+        showbox = mpl._val_or_rc(showbox, 'boxplot.showbox')
+        showfliers = mpl._val_or_rc(showfliers, 'boxplot.showfliers')
+
+        if boxprops is None:
+            boxprops = {}
+        if whiskerprops is None:
+            whiskerprops = {}
+        if capprops is None:
+            capprops = {}
+        if medianprops is None:
+            medianprops = {}
+        if meanprops is None:
+            meanprops = {}
         if flierprops is None:
-            flierprops = dict()
+            flierprops = {}
+
+        if patch_artist:
+            boxprops['linestyle'] = 'solid'  # Not consistent with bxp.
+            if 'color' in boxprops:
+                boxprops['edgecolor'] = boxprops.pop('color')
+
         # if non-default sym value, put it into the flier dictionary
         # the logic for providing the default symbol ('b+') now lives
-        # in bxp in the initial value of final_flierprops
-        # handle all of the `sym` related logic here so we only have to pass
+        # in bxp in the initial value of flierkw
+        # handle all of the *sym* related logic here so we only have to pass
         # on the flierprops dict.
         if sym is not None:
             # no-flier case, which should really be done with
@@ -3076,8 +4447,7 @@ def boxplot(self, x, notch=False, sym=None, vert=True, whis=1.5,
             # compatibility
             if sym == '':
                 # blow away existing dict and make one for invisible markers
-                flierprops = dict(linestyle='none', marker='',
-                    color='none')
+                flierprops = dict(linestyle='none', marker='', color='none')
                 # turn the fliers off just to be safe
                 showfliers = False
             # now process the symbol string
@@ -3094,13 +4464,15 @@ def boxplot(self, x, notch=False, sym=None, vert=True, whis=1.5,
                     # filled symbol, if the users want more control use
                     # flierprops
                     flierprops['color'] = color
+                    flierprops['markerfacecolor'] = color
+                    flierprops['markeredgecolor'] = color
 
         # replace medians if necessary:
         if usermedians is not None:
             if (len(np.ravel(usermedians)) != len(bxpstats) or
-                 np.shape(usermedians)[0] != len(bxpstats)):
-                medmsg = 'usermedians length not compatible with x'
-                raise ValueError(medmsg)
+                    np.shape(usermedians)[0] != len(bxpstats)):
+                raise ValueError(
+                    "'usermedians' and 'x' have different lengths")
             else:
                 # reassign medians as necessary
                 for stats, med in zip(bxpstats, usermedians):
@@ -3108,9 +4480,9 @@ def boxplot(self, x, notch=False, sym=None, vert=True, whis=1.5,
                         stats['med'] = med
 
         if conf_intervals is not None:
-            if np.shape(conf_intervals)[0] != len(bxpstats):
-                raise ValueError('conf_intervals length not '
-                                 'compatible with x')
+            if len(conf_intervals) != len(bxpstats):
+                raise ValueError(
+                    "'conf_intervals' and 'x' have different lengths")
             else:
                 for stats, ci in zip(bxpstats, conf_intervals):
                     if ci is not None:
@@ -3131,160 +4503,161 @@ def boxplot(self, x, notch=False, sym=None, vert=True, whis=1.5,
                            medianprops=medianprops, meanprops=meanprops,
                            meanline=meanline, showfliers=showfliers,
                            capprops=capprops, whiskerprops=whiskerprops,
-                           manage_xticks=manage_xticks)
+                           manage_ticks=manage_ticks, zorder=zorder,
+                           capwidths=capwidths, label=label,
+                           orientation=orientation)
         return artists
 
-    def bxp(self, bxpstats, positions=None, widths=None, vert=True,
-            patch_artist=False, shownotches=False, showmeans=False,
-            showcaps=True, showbox=True, showfliers=True,
+    @_api.make_keyword_only("3.10", "widths")
+    def bxp(self, bxpstats, positions=None, widths=None, vert=None,
+            orientation='vertical', patch_artist=False, shownotches=False,
+            showmeans=False, showcaps=True, showbox=True, showfliers=True,
             boxprops=None, whiskerprops=None, flierprops=None,
             medianprops=None, capprops=None, meanprops=None,
-            meanline=False, manage_xticks=True):
+            meanline=False, manage_ticks=True, zorder=None,
+            capwidths=None, label=None):
         """
-        Drawing function for box and whisker plots.
+        Draw a box and whisker plot from pre-computed statistics.
 
-        Call signature::
+        The box extends from the first quartile *q1* to the third
+        quartile *q3* of the data, with a line at the median (*med*).
+        The whiskers extend from *whislow* to *whishi*.
+        Flier points are markers past the end of the whiskers.
+        See https://en.wikipedia.org/wiki/Box_plot for reference.
 
-          bxp(self, bxpstats, positions=None, widths=None, vert=True,
-              patch_artist=False, shownotches=False, showmeans=False,
-              showcaps=True, showbox=True, showfliers=True,
-              boxprops=None, whiskerprops=None, flierprops=None,
-              medianprops=None, capprops=None, meanprops=None,
-              meanline=False, manage_xticks=True):
+        .. code-block:: none
 
-        Make a box and whisker plot for each column of *x* or each
-        vector in sequence *x*.  The box extends from the lower to
-        upper quartile values of the data, with a line at the median.
-        The whiskers extend from the box to show the range of the
-        data.  Flier points are those past the end of the whiskers.
+                   whislow    q1    med    q3    whishi
+                               |-----:-----|
+               o      |--------|     :     |--------|    o  o
+                               |-----:-----|
+             flier                                      fliers
+
+        .. note::
+            This is a low-level drawing function for when you already
+            have the statistical parameters. If you want a boxplot based
+            on a dataset, use `~.Axes.boxplot` instead.
 
         Parameters
         ----------
-
         bxpstats : list of dicts
-          A list of dictionaries containing stats for each boxplot.
-          Required keys are:
-
-          - ``med``: The median (scalar float).
-
-          - ``q1``: The first quartile (25th percentile) (scalar
-            float).
-
-          - ``q3``: The first quartile (50th percentile) (scalar
-            float).
-
-          - ``whislo``: Lower bound of the lower whisker (scalar
-            float).
-
-          - ``whishi``: Upper bound of the upper whisker (scalar
-            float).
+            A list of dictionaries containing stats for each boxplot.
+            Required keys are:
 
-          Optional keys are:
+            - ``med``: Median (float).
+            - ``q1``, ``q3``: First & third quartiles (float).
+            - ``whislo``, ``whishi``: Lower & upper whisker positions (float).
 
-          - ``mean``: The mean (scalar float). Needed if
-            ``showmeans=True``.
+            Optional keys are:
 
-          - ``fliers``: Data beyond the whiskers (sequence of floats).
-            Needed if ``showfliers=True``.
+            - ``mean``: Mean (float).  Needed if ``showmeans=True``.
+            - ``fliers``: Data beyond the whiskers (array-like).
+              Needed if ``showfliers=True``.
+            - ``cilo``, ``cihi``: Lower & upper confidence intervals
+              about the median. Needed if ``shownotches=True``.
+            - ``label``: Name of the dataset (str).  If available,
+              this will be used a tick label for the boxplot
 
-          - ``cilo`` & ``ciho``: Lower and upper confidence intervals
-            about the median. Needed if ``shownotches=True``.
-
-          - ``label``: Name of the dataset (string). If available,
-            this will be used a tick label for the boxplot
-
-        positions : array-like, default = [1, 2, ..., n]
-          Sets the positions of the boxes. The ticks and limits
-          are automatically set to match the positions.
+        positions : array-like, default: [1, 2, ..., n]
+            The positions of the boxes. The ticks and limits
+            are automatically set to match the positions.
 
-        widths : array-like, default = 0.5
-          Either a scalar or a vector and sets the width of each
-          box. The default is 0.5, or ``0.15*(distance between extreme
-          positions)`` if that is smaller.
+        widths : float or array-like, default: None
+            The widths of the boxes.  The default is
+            ``clip(0.15*(distance between extreme positions), 0.15, 0.5)``.
 
-        vert : bool, default = False
-          If `True` (default), makes the boxes vertical.  If `False`,
-          makes horizontal boxes.
+        capwidths : float or array-like, default: None
+            Either a scalar or a vector and sets the width of each cap.
+            The default is ``0.5*(width of the box)``, see *widths*.
 
-        patch_artist : bool, default = False
-          If `False` produces boxes with the
-          `~matplotlib.lines.Line2D` artist.  If `True` produces boxes
-          with the `~matplotlib.patches.Patch` artist.
+        vert : bool, optional
+            .. deprecated:: 3.11
+                Use *orientation* instead.
 
-        shownotches : bool, default = False
-          If `False` (default), produces a rectangular box plot.
-          If `True`, will produce a notched box plot
+                If this is given during the deprecation period, it overrides
+                the *orientation* parameter.
 
-        showmeans : bool, default = False
-          If `True`, will toggle one the rendering of the means
+            If True, plots the boxes vertically.
+            If False, plots the boxes horizontally.
 
-        showcaps  : bool, default = True
-          If `True`, will toggle one the rendering of the caps
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            If 'horizontal', plots the boxes horizontally.
+            Otherwise, plots the boxes vertically.
 
-        showbox  : bool, default = True
-          If `True`, will toggle one the rendering of box
+            .. versionadded:: 3.10
 
-        showfliers : bool, default = True
-          If `True`, will toggle one the rendering of the fliers
+        patch_artist : bool, default: False
+            If `False` produces boxes with the `.Line2D` artist.
+            If `True` produces boxes with the `~matplotlib.patches.Patch` artist.
 
-        boxprops : dict or None (default)
-          If provided, will set the plotting style of the boxes
+        shownotches, showmeans, showcaps, showbox, showfliers : bool
+            Whether to draw the CI notches, the mean value (both default to
+            False), the caps, the box, and the fliers (all three default to
+            True).
 
-        whiskerprops : dict or None (default)
-          If provided, will set the plotting style of the whiskers
+        boxprops, whiskerprops, capprops, flierprops, medianprops, meanprops :\
+ dict, optional
+            Artist properties for the boxes, whiskers, caps, fliers, medians, and
+            means.
 
-        capprops : dict or None (default)
-          If provided, will set the plotting style of the caps
+        meanline : bool, default: False
+            If `True` (and *showmeans* is `True`), will try to render the mean
+            as a line spanning the full width of the box according to
+            *meanprops*. Not recommended if *shownotches* is also True.
+            Otherwise, means will be shown as points.
 
-        flierprops : dict or None (default)
-          If provided will set the plotting style of the fliers
+        manage_ticks : bool, default: True
+            If True, the tick locations and labels will be adjusted to match the
+            boxplot positions.
 
-        medianprops : dict or None (default)
-          If provided, will set the plotting style of the medians
+        label : str or list of str, optional
+            Legend labels. Use a single string when all boxes have the same style and
+            you only want a single legend entry for them. Use a list of strings to
+            label all boxes individually. To be distinguishable, the boxes should be
+            styled individually, which is currently only possible by modifying the
+            returned artists, see e.g. :doc:`/gallery/statistics/boxplot_demo`.
 
-        meanprops : dict or None (default)
-          If provided, will set the plotting style of the means
+            In the case of a single string, the legend entry will technically be
+            associated with the first box only. By default, the legend will show the
+            median line (``result["medians"]``); if *patch_artist* is True, the legend
+            will show the box `.Patch` artists (``result["boxes"]``) instead.
 
-        meanline : bool, default = False
-          If `True` (and *showmeans* is `True`), will try to render the mean
-          as a line spanning the full width of the box according to
-          *meanprops*. Not recommended if *shownotches* is also True.
-          Otherwise, means will be shown as points.
+            .. versionadded:: 3.9
 
-        manage_xticks : bool, default = True
-          If the function should adjust the xlim and xtick locations.
+        zorder : float, default: ``Line2D.zorder = 2``
+            The zorder of the resulting boxplot.
 
         Returns
         -------
-        result : dict
-          A dictionary mapping each component of the boxplot to a list
-          of the :class:`matplotlib.lines.Line2D` instances
-          created. That dictionary has the following keys (assuming
-          vertical boxplots):
-
-          - ``boxes``: the main body of the boxplot showing the
-            quartiles and the median's confidence intervals if
-            enabled.
-
-          - ``medians``: horizonal lines at the median of each box.
-
-          - ``whiskers``: the vertical lines extending to the most
-            extreme, n-outlier data points.
-
-          - ``caps``: the horizontal lines at the ends of the
-            whiskers.
-
-          - ``fliers``: points representing data that extend beyond
-            the whiskers (fliers).
-
-          - ``means``: points or lines representing the means.
-
-        Examples
+        dict
+            A dictionary mapping each component of the boxplot to a list
+            of the `.Line2D` instances created. That dictionary has the
+            following keys (assuming vertical boxplots):
+
+            - ``boxes``: main bodies of the boxplot showing the quartiles, and
+              the median's confidence intervals if enabled.
+            - ``medians``: horizontal lines at the median of each box.
+            - ``whiskers``: vertical lines up to the last non-outlier data.
+            - ``caps``: horizontal lines at the ends of the whiskers.
+            - ``fliers``: points representing data beyond the whiskers (fliers).
+            - ``means``: points or lines representing the means.
+
+        See Also
         --------
-
-        .. plot:: mpl_examples/statistics/bxp_demo.py
-
+        boxplot : Draw a boxplot from data instead of pre-computed statistics.
         """
+        # Clamp median line to edge of box by default.
+        medianprops = {
+            "solid_capstyle": "butt",
+            "dash_capstyle": "butt",
+            **(medianprops or {}),
+        }
+        meanprops = {
+            "solid_capstyle": "butt",
+            "dash_capstyle": "butt",
+            **(meanprops or {}),
+        }
+
         # lists of artists to be output
         whiskers = []
         caps = []
@@ -3296,99 +4669,73 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
         # empty list of xticklabels
         datalabels = []
 
-        # translates between line2D and patch linestyles
-        linestyle_map = {
-            'solid': '-',
-            'dashed': '--',
-            'dashdot': '-.',
-            'dotted': ':'
-        }
-
-        # box properties
-        if patch_artist:
-            final_boxprops = dict(linestyle='solid', edgecolor='black',
-                                  facecolor='white', linewidth=1)
+        # Use default zorder if none specified
+        if zorder is None:
+            zorder = mlines.Line2D.zorder
+
+        zdelta = 0.1
+
+        def merge_kw_rc(subkey, explicit, zdelta=0, usemarker=True):
+            d = {k.split('.')[-1]: v for k, v in mpl.rcParams.items()
+                 if k.startswith(f'boxplot.{subkey}props')}
+            d['zorder'] = zorder + zdelta
+            if not usemarker:
+                d['marker'] = ''
+            d.update(cbook.normalize_kwargs(explicit, mlines.Line2D))
+            return d
+
+        box_kw = {
+            'linestyle': mpl.rcParams['boxplot.boxprops.linestyle'],
+            'linewidth': mpl.rcParams['boxplot.boxprops.linewidth'],
+            'edgecolor': mpl.rcParams['boxplot.boxprops.color'],
+            'facecolor': ('white' if mpl.rcParams['_internal.classic_mode']
+                          else mpl.rcParams['patch.facecolor']),
+            'zorder': zorder,
+            **cbook.normalize_kwargs(boxprops, mpatches.PathPatch)
+        } if patch_artist else merge_kw_rc('box', boxprops, usemarker=False)
+        whisker_kw = merge_kw_rc('whisker', whiskerprops, usemarker=False)
+        cap_kw = merge_kw_rc('cap', capprops, usemarker=False)
+        flier_kw = merge_kw_rc('flier', flierprops)
+        median_kw = merge_kw_rc('median', medianprops, zdelta, usemarker=False)
+        mean_kw = merge_kw_rc('mean', meanprops, zdelta)
+        removed_prop = 'marker' if meanline else 'linestyle'
+        # Only remove the property if it's not set explicitly as a parameter.
+        if meanprops is None or removed_prop not in meanprops:
+            mean_kw[removed_prop] = ''
+
+        # vert and orientation parameters are linked until vert's
+        # deprecation period expires. vert only takes precedence
+        # if set to False.
+        if vert is None:
+            vert = mpl.rcParams['boxplot.vertical']
         else:
-            final_boxprops = dict(linestyle='-', color='blue')
+            _api.warn_deprecated(
+                "3.11",
+                name="vert: bool",
+                alternative="orientation: {'vertical', 'horizontal'}",
+            )
+        if vert is False:
+            orientation = 'horizontal'
+        _api.check_in_list(['horizontal', 'vertical'], orientation=orientation)
+
+        if not mpl.rcParams['boxplot.vertical']:
+            _api.warn_deprecated(
+                "3.10",
+                name='boxplot.vertical', obj_type="rcparam"
+            )
 
-        if boxprops is not None:
-            final_boxprops.update(boxprops)
-
-        # other (cap, whisker) properties
-        final_whiskerprops = dict(
-            linestyle='--',
-            color='blue',
-        )
-
-        final_capprops = dict(
-            linestyle='-',
-            color='black',
-        )
-
-        if capprops is not None:
-            final_capprops.update(capprops)
-
-        if whiskerprops is not None:
-            final_whiskerprops.update(whiskerprops)
-
-        # set up the default flier properties
-        final_flierprops = dict(linestyle='none', marker='+', color='blue')
-
-        # flier (outlier) properties
-        if flierprops is not None:
-            final_flierprops.update(flierprops)
+        # vertical or horizontal plot?
+        maybe_swap = slice(None) if orientation == 'vertical' else slice(None, None, -1)
 
-        # median line properties
-        final_medianprops = dict(linestyle='-', color='red')
-        if medianprops is not None:
-            final_medianprops.update(medianprops)
+        def do_plot(xs, ys, **kwargs):
+            return self.plot(*[xs, ys][maybe_swap], **kwargs)[0]
 
-        # mean (line or point) properties
-        if meanline:
-            final_meanprops = dict(linestyle='--', color='black')
-        else:
-            final_meanprops = dict(linestyle='none', markerfacecolor='red',
-                                   marker='s')
-        if meanprops is not None:
-            final_meanprops.update(meanprops)
-
-        def to_vc(xs, ys):
-            # convert arguments to verts and codes
-            verts = []
-            #codes = []
-            for xi, yi in zip(xs, ys):
-                verts.append((xi, yi))
-            verts.append((0, 0))  # ignored
-            codes = [mpath.Path.MOVETO] + \
-                    [mpath.Path.LINETO] * (len(verts) - 2) + \
-                    [mpath.Path.CLOSEPOLY]
-            return verts, codes
-
-        def patch_list(xs, ys, **kwargs):
-            verts, codes = to_vc(xs, ys)
-            path = mpath.Path(verts, codes)
+        def do_patch(xs, ys, **kwargs):
+            path = mpath.Path._create_closed(
+                np.column_stack([xs, ys][maybe_swap]))
             patch = mpatches.PathPatch(path, **kwargs)
             self.add_artist(patch)
-            return [patch]
-
-        # vertical or horizontal plot?
-        if vert:
-            def doplot(*args, **kwargs):
-                return self.plot(*args, **kwargs)
-
-            def dopatch(xs, ys, **kwargs):
-                return patch_list(xs, ys, **kwargs)
-
-        else:
-            def doplot(*args, **kwargs):
-                shuffled = []
-                for i in xrange(0, len(args), 2):
-                    shuffled.extend([args[i + 1], args[i]])
-                return self.plot(*shuffled, **kwargs)
-
-            def dopatch(xs, ys, **kwargs):
-                xs, ys = ys, xs  # flip X, Y
-                return patch_list(xs, ys, **kwargs)
+            return patch
 
         # input validation
         N = len(bxpstats)
@@ -3396,58 +4743,61 @@ def dopatch(xs, ys, **kwargs):
                              "values must have same the length")
         # check position
         if positions is None:
-            positions = list(xrange(1, N + 1))
+            positions = list(range(1, N + 1))
         elif len(positions) != N:
             raise ValueError(datashape_message.format("positions"))
 
+        positions = np.array(positions)
+        if len(positions) > 0 and not all(isinstance(p, Real) for p in positions):
+            raise TypeError("positions should be an iterable of numbers")
+
         # width
         if widths is None:
-            distance = max(positions) - min(positions)
-            widths = [min(0.15 * max(distance, 1.0), 0.5)] * N
+            widths = [np.clip(0.15 * np.ptp(positions), 0.15, 0.5)] * N
         elif np.isscalar(widths):
             widths = [widths] * N
         elif len(widths) != N:
             raise ValueError(datashape_message.format("widths"))
 
-        # check and save the `hold` state of the current axes
-        if not self._hold:
-            self.cla()
-        holdStatus = self._hold
-        for pos, width, stats in zip(positions, widths, bxpstats):
+        # capwidth
+        if capwidths is None:
+            capwidths = 0.5 * np.array(widths)
+        elif np.isscalar(capwidths):
+            capwidths = [capwidths] * N
+        elif len(capwidths) != N:
+            raise ValueError(datashape_message.format("capwidths"))
+
+        for pos, width, stats, capwidth in zip(positions, widths, bxpstats,
+                                               capwidths):
             # try to find a new label
             datalabels.append(stats.get('label', pos))
-            # fliers coords
-            flier_x = np.ones(len(stats['fliers'])) * pos
-            flier_y = stats['fliers']
 
             # whisker coords
-            whisker_x = np.ones(2) * pos
-            whiskerlo_y = np.array([stats['q1'], stats['whislo']])
-            whiskerhi_y = np.array([stats['q3'], stats['whishi']])
-
+            whis_x = [pos, pos]
+            whislo_y = [stats['q1'], stats['whislo']]
+            whishi_y = [stats['q3'], stats['whishi']]
             # cap coords
-            cap_left = pos - width * 0.25
-            cap_right = pos + width * 0.25
-            cap_x = np.array([cap_left, cap_right])
-            cap_lo = np.ones(2) * stats['whislo']
-            cap_hi = np.ones(2) * stats['whishi']
-
+            cap_left = pos - capwidth * 0.5
+            cap_right = pos + capwidth * 0.5
+            cap_x = [cap_left, cap_right]
+            cap_lo = np.full(2, stats['whislo'])
+            cap_hi = np.full(2, stats['whishi'])
             # box and median coords
             box_left = pos - width * 0.5
             box_right = pos + width * 0.5
             med_y = [stats['med'], stats['med']]
-
             # notched boxes
             if shownotches:
-                box_x = [box_left, box_right, box_right, cap_right, box_right,
-                         box_right, box_left, box_left, cap_left, box_left,
-                         box_left]
+                notch_left = pos - width * 0.25
+                notch_right = pos + width * 0.25
+                box_x = [box_left, box_right, box_right, notch_right,
+                         box_right, box_right, box_left, box_left, notch_left,
+                         box_left, box_left]
                 box_y = [stats['q1'], stats['q1'], stats['cilo'],
                          stats['med'], stats['cihi'], stats['q3'],
                          stats['q3'], stats['cihi'], stats['med'],
                          stats['cilo'], stats['q1']]
-                med_x = cap_x
-
+                med_x = [notch_left, notch_right]
             # plain boxes
             else:
                 box_x = [box_left, box_right, box_right, box_left, box_left]
@@ -3455,150 +4805,392 @@ def dopatch(xs, ys, **kwargs):
                          stats['q1']]
                 med_x = [box_left, box_right]
 
-            # maybe draw the box:
+            # maybe draw the box
             if showbox:
-                if patch_artist:
-                    boxes.extend(dopatch(box_x, box_y, **final_boxprops))
-                else:
-                    boxes.extend(doplot(box_x, box_y, **final_boxprops))
-
+                do_box = do_patch if patch_artist else do_plot
+                boxes.append(do_box(box_x, box_y, **box_kw))
+                median_kw.setdefault('label', '_nolegend_')
             # draw the whiskers
-            whiskers.extend(doplot(
-                whisker_x, whiskerlo_y, **final_whiskerprops
-            ))
-            whiskers.extend(doplot(
-                whisker_x, whiskerhi_y, **final_whiskerprops
-            ))
-
-            # maybe draw the caps:
+            whisker_kw.setdefault('label', '_nolegend_')
+            whiskers.append(do_plot(whis_x, whislo_y, **whisker_kw))
+            whiskers.append(do_plot(whis_x, whishi_y, **whisker_kw))
+            # maybe draw the caps
             if showcaps:
-                caps.extend(doplot(cap_x, cap_lo, **final_capprops))
-                caps.extend(doplot(cap_x, cap_hi, **final_capprops))
-
+                cap_kw.setdefault('label', '_nolegend_')
+                caps.append(do_plot(cap_x, cap_lo, **cap_kw))
+                caps.append(do_plot(cap_x, cap_hi, **cap_kw))
             # draw the medians
-            medians.extend(doplot(med_x, med_y, **final_medianprops))
-
+            medians.append(do_plot(med_x, med_y, **median_kw))
             # maybe draw the means
             if showmeans:
                 if meanline:
-                    means.extend(doplot(
+                    means.append(do_plot(
                         [box_left, box_right], [stats['mean'], stats['mean']],
-                        **final_meanprops
+                        **mean_kw
                     ))
                 else:
-                    means.extend(doplot(
-                        [pos], [stats['mean']], **final_meanprops
-                    ))
-
+                    means.append(do_plot([pos], [stats['mean']], **mean_kw))
             # maybe draw the fliers
             if showfliers:
-                fliers.extend(doplot(
-                    flier_x, flier_y, **final_flierprops
-                ))
-
-        # fix our axes/ticks up a little
-        if vert:
-            setticks = self.set_xticks
-            setlim = self.set_xlim
-            setlabels = self.set_xticklabels
-        else:
-            setticks = self.set_yticks
-            setlim = self.set_ylim
-            setlabels = self.set_yticklabels
-
-        if manage_xticks:
-            newlimits = min(positions) - 0.5, max(positions) + 0.5
-            setlim(newlimits)
-            setticks(positions)
-            setlabels(datalabels)
-
-        # reset hold status
-        self.hold(holdStatus)
+                flier_kw.setdefault('label', '_nolegend_')
+                flier_x = np.full(len(stats['fliers']), pos, dtype=np.float64)
+                flier_y = stats['fliers']
+                fliers.append(do_plot(flier_x, flier_y, **flier_kw))
+
+        # Set legend labels
+        if label:
+            box_or_med = boxes if showbox and patch_artist else medians
+            if cbook.is_scalar_or_string(label):
+                # assign the label only to the first box
+                box_or_med[0].set_label(label)
+            else:  # label is a sequence
+                if len(box_or_med) != len(label):
+                    raise ValueError(datashape_message.format("label"))
+                for artist, lbl in zip(box_or_med, label):
+                    artist.set_label(lbl)
+
+        if manage_ticks:
+            axis_name = "x" if orientation == 'vertical' else "y"
+            interval = getattr(self.dataLim, f"interval{axis_name}")
+            axis = self._axis_map[axis_name]
+            positions = axis.convert_units(positions)
+            # The 0.5 additional padding ensures reasonable-looking boxes
+            # even when drawing a single box.  We set the sticky edge to
+            # prevent margins expansion, in order to match old behavior (back
+            # when separate calls to boxplot() would completely reset the axis
+            # limits regardless of what was drawn before).  The sticky edges
+            # are attached to the median lines, as they are always present.
+            interval[:] = (min(interval[0], min(positions) - .5),
+                           max(interval[1], max(positions) + .5))
+            for median, position in zip(medians, positions):
+                getattr(median.sticky_edges, axis_name).extend(
+                    [position - .5, position + .5])
+            # Modified from Axis.set_ticks and Axis.set_ticklabels.
+            locator = axis.get_major_locator()
+            if not isinstance(axis.get_major_locator(),
+                              mticker.FixedLocator):
+                locator = mticker.FixedLocator([])
+                axis.set_major_locator(locator)
+            locator.locs = np.array([*locator.locs, *positions])
+            formatter = axis.get_major_formatter()
+            if not isinstance(axis.get_major_formatter(),
+                              mticker.FixedFormatter):
+                formatter = mticker.FixedFormatter([])
+                axis.set_major_formatter(formatter)
+            formatter.seq = [*formatter.seq, *datalabels]
+
+            self._request_autoscale_view()
 
         return dict(whiskers=whiskers, caps=caps, boxes=boxes,
                     medians=medians, fliers=fliers, means=means)
 
-    @docstring.dedent_interpd
-    def scatter(self, x, y, s=20, c='b', marker='o', cmap=None, norm=None,
-                vmin=None, vmax=None, alpha=None, linewidths=None,
-                verts=None, **kwargs):
+    @staticmethod
+    def _parse_scatter_color_args(c, edgecolors, kwargs, xsize,
+                                  get_next_color_func):
         """
-        Make a scatter plot of x vs y, where x and y are sequence like objects
-        of the same lengths.
+        Helper function to process color related arguments of `.Axes.scatter`.
+
+        Argument precedence for facecolors:
+
+        - c (if not None)
+        - kwargs['facecolor']
+        - kwargs['facecolors']
+        - kwargs['color'] (==kwcolor)
+        - 'b' if in classic mode else the result of ``get_next_color_func()``
+
+        Argument precedence for edgecolors:
+
+        - kwargs['edgecolor']
+        - edgecolors (is an explicit kw argument in scatter())
+        - kwargs['color'] (==kwcolor)
+        - 'face' if not in classic mode else None
 
         Parameters
         ----------
-        x, y : array_like, shape (n, )
-            Input data
-
-        s : scalar or array_like, shape (n, ), optional, default: 20
-            size in points^2.
-
-        c : color or sequence of color, optional, default : 'b'
-            `c` can be a single color format string, or a sequence of color
-            specifications of length `N`, or a sequence of `N` numbers to be
-            mapped to colors using the `cmap` and `norm` specified via kwargs
-            (see below). Note that `c` should not be a single numeric RGB or
-            RGBA sequence because that is indistinguishable from an array of
-            values to be colormapped.  `c` can be a 2-D array in which the
-            rows are RGB or RGBA, however.
-
-        marker : `~matplotlib.markers.MarkerStyle`, optional, default: 'o'
-            See `~matplotlib.markers` for more information on the different
-            styles of markers scatter supports.
-
-        cmap : `~matplotlib.colors.Colormap`, optional, default: None
-            A `~matplotlib.colors.Colormap` instance or registered name.
-            `cmap` is only used if `c` is an array of floats. If None,
-            defaults to rc `image.cmap`.
-
-        norm : `~matplotlib.colors.Normalize`, optional, default: None
-            A `~matplotlib.colors.Normalize` instance is used to scale
-            luminance data to 0, 1. `norm` is only used if `c` is an array of
-            floats. If `None`, use the default :func:`normalize`.
-
-        vmin, vmax : scalar, optional, default: None
-            `vmin` and `vmax` are used in conjunction with `norm` to normalize
-            luminance data.  If either are `None`, the min and max of the
-            color array is used.  Note if you pass a `norm` instance, your
-            settings for `vmin` and `vmax` will be ignored.
-
-        alpha : scalar, optional, default: None
-            The alpha blending value, between 0 (transparent) and 1 (opaque)
-
-        linewidths : scalar or array_like, optional, default: None
-            If None, defaults to (lines.linewidth,).  Note that this is a
-            tuple, and if you set the linewidths argument you must set it as a
-            sequence of floats, as required by
-            `~matplotlib.collections.RegularPolyCollection`.
+        c : :mpltype:`color` or array-like or list of :mpltype:`color` or None
+            See argument description of `.Axes.scatter`.
+        edgecolors : :mpltype:`color` or sequence of color or {'face', 'none'} or None
+            See argument description of `.Axes.scatter`.
+        kwargs : dict
+            Additional kwargs. If these keys exist, we pop and process them:
+            'facecolors', 'facecolor', 'edgecolor', 'color'
+            Note: The dict is modified by this function.
+        xsize : int
+            The size of the x and y arrays passed to `.Axes.scatter`.
+        get_next_color_func : callable
+            A callable that returns a color. This color is used as facecolor
+            if no other color is provided.
+
+            Note, that this is a function rather than a fixed color value to
+            support conditional evaluation of the next color.  As of the
+            current implementation obtaining the next color from the
+            property cycle advances the cycle. This must only happen if we
+            actually use the color, which will only be decided within this
+            method.
 
         Returns
         -------
-        paths : `~matplotlib.collections.PathCollection`
+        c
+            The input *c* if it was not *None*, else a color derived from the
+            other inputs or defaults.
+        colors : array(N, 4) or None
+            The facecolors as RGBA values, or *None* if a colormap is used.
+        edgecolors
+            The edgecolor.
 
-        Other parameters
-        ----------------
-        kwargs : `~matplotlib.collections.Collection` properties
+        """
+        facecolors = kwargs.pop('facecolors', None)
+        facecolors = kwargs.pop('facecolor', facecolors)
+        edgecolors = kwargs.pop('edgecolor', edgecolors)
+
+        kwcolor = kwargs.pop('color', None)
+
+        if kwcolor is not None and c is not None:
+            raise ValueError("Supply a 'c' argument or a 'color'"
+                             " kwarg but not both; they differ but"
+                             " their functionalities overlap.")
+
+        if kwcolor is not None:
+            try:
+                mcolors.to_rgba_array(kwcolor)
+            except ValueError as err:
+                raise ValueError(
+                    "'color' kwarg must be a color or sequence of color "
+                    "specs.  For a sequence of values to be color-mapped, use "
+                    "the 'c' argument instead.") from err
+            if edgecolors is None:
+                edgecolors = kwcolor
+            if facecolors is None:
+                facecolors = kwcolor
+
+        if edgecolors is None and not mpl.rcParams['_internal.classic_mode']:
+            edgecolors = mpl.rcParams['scatter.edgecolors']
+
+        # Raise a warning if both `c` and `facecolor` are set (issue #24404).
+        if c is not None and facecolors is not None:
+            _api.warn_external(
+                "You passed both c and facecolor/facecolors for the markers. "
+                "c has precedence over facecolor/facecolors. "
+                "This behavior may change in the future."
+            )
+
+        c_was_none = c is None
+        if c is None:
+            c = (facecolors if facecolors is not None
+                 else "b" if mpl.rcParams['_internal.classic_mode']
+                 else get_next_color_func())
+        c_is_string_or_strings = (
+            isinstance(c, str)
+            or (np.iterable(c) and len(c) > 0
+                and isinstance(cbook._safe_first_finite(c), str)))
+
+        def invalid_shape_exception(csize, xsize):
+            return ValueError(
+                f"'c' argument has {csize} elements, which is inconsistent "
+                f"with 'x' and 'y' with size {xsize}.")
+
+        c_is_mapped = False  # Unless proven otherwise below.
+        valid_shape = True  # Unless proven otherwise below.
+        if not c_was_none and kwcolor is None and not c_is_string_or_strings:
+            try:  # First, does 'c' look suitable for value-mapping?
+                c = np.asanyarray(c, dtype=float)
+            except ValueError:
+                pass  # Failed to convert to float array; must be color specs.
+            else:
+                # handle the documented special case of a 2D array with 1
+                # row which as RGB(A) to broadcast.
+                if c.shape == (1, 4) or c.shape == (1, 3):
+                    c_is_mapped = False
+                    if c.size != xsize:
+                        valid_shape = False
+                # If c can be either mapped values or an RGB(A) color, prefer
+                # the former if shapes match, the latter otherwise.
+                elif c.size == xsize:
+                    c = c.ravel()
+                    c_is_mapped = True
+                else:  # Wrong size; it must not be intended for mapping.
+                    if c.shape in ((3,), (4,)):
+                        _api.warn_external(
+                            "*c* argument looks like a single numeric RGB or "
+                            "RGBA sequence, which should be avoided as value-"
+                            "mapping will have precedence in case its length "
+                            "matches with *x* & *y*.  Please use the *color* "
+                            "keyword-argument or provide a 2D array "
+                            "with a single row if you intend to specify "
+                            "the same RGB or RGBA value for all points.")
+                    valid_shape = False
+        if not c_is_mapped:
+            try:  # Is 'c' acceptable as PathCollection facecolors?
+                colors = mcolors.to_rgba_array(c)
+            except (TypeError, ValueError) as err:
+                if "RGBA values should be within 0-1 range" in str(err):
+                    raise
+                else:
+                    if not valid_shape:
+                        raise invalid_shape_exception(c.size, xsize) from err
+                    # Both the mapping *and* the RGBA conversion failed: pretty
+                    # severe failure => one may appreciate a verbose feedback.
+                    raise ValueError(
+                        f"'c' argument must be a color, a sequence of colors, "
+                        f"or a sequence of numbers, not {c!r}") from err
+            else:
+                if len(colors) not in (0, 1, xsize):
+                    # NB: remember that a single color is also acceptable.
+                    # Besides *colors* will be an empty array if c == 'none'.
+                    raise invalid_shape_exception(len(colors), xsize)
+        else:
+            colors = None  # use cmap, norm after collection is created
+        return c, colors, edgecolors
+
+    @_api.make_keyword_only("3.10", "marker")
+    @_preprocess_data(replace_names=["x", "y", "s", "linewidths",
+                                     "edgecolors", "c", "facecolor",
+                                     "facecolors", "color"],
+                      label_namer="y")
+    @_docstring.interpd
+    def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
+                vmin=None, vmax=None, alpha=None, linewidths=None, *,
+                edgecolors=None, colorizer=None, plotnonfinite=False, **kwargs):
+        """
+        A scatter plot of *y* vs. *x* with varying marker size and/or color.
 
-        Notes
-        ------
-        Any or all of `x`, `y`, `s`, and `c` may be masked arrays, in
-        which case all masks will be combined and only unmasked points
-        will be plotted.
+        Parameters
+        ----------
+        x, y : float or array-like, shape (n, )
+            The data positions.
 
-        Examples
+        s : float or array-like, shape (n, ), optional
+            The marker size in points**2 (typographic points are 1/72 in.).
+            Default is ``rcParams['lines.markersize'] ** 2``.
+
+            The linewidth and edgecolor can visually interact with the marker
+            size, and can lead to artifacts if the marker size is smaller than
+            the linewidth.
+
+            If the linewidth is greater than 0 and the edgecolor is anything
+            but *'none'*, then the effective size of the marker will be
+            increased by half the linewidth because the stroke will be centered
+            on the edge of the shape.
+
+            To eliminate the marker edge either set *linewidth=0* or
+            *edgecolor='none'*.
+
+        c : array-like or list of :mpltype:`color` or :mpltype:`color`, optional
+            The marker colors. Possible values:
+
+            - A scalar or sequence of n numbers to be mapped to colors using
+              *cmap* and *norm*.
+            - A 2D array in which the rows are RGB or RGBA.
+            - A sequence of colors of length n.
+            - A single color format string.
+
+            Note that *c* should not be a single numeric RGB or RGBA sequence
+            because that is indistinguishable from an array of values to be
+            colormapped. If you want to specify the same RGB or RGBA value for
+            all points, use a 2D array with a single row.  Otherwise,
+            value-matching will have precedence in case of a size matching with
+            *x* and *y*.
+
+            If you wish to specify a single color for all points
+            prefer the *color* keyword argument.
+
+            Defaults to `None`. In that case the marker color is determined
+            by the value of *color*, *facecolor* or *facecolors*. In case
+            those are not specified or `None`, the marker color is determined
+            by the next color of the ``Axes``' current "shape and fill" color
+            cycle. This cycle defaults to :rc:`axes.prop_cycle`.
+
+        marker : `~.markers.MarkerStyle`, default: :rc:`scatter.marker`
+            The marker style. *marker* can be either an instance of the class
+            or the text shorthand for a particular marker.
+            See :mod:`matplotlib.markers` for more information about marker
+            styles.
+
+        %(cmap_doc)s
+
+            This parameter is ignored if *c* is RGB(A).
+
+        %(norm_doc)s
+
+            This parameter is ignored if *c* is RGB(A).
+
+        %(vmin_vmax_doc)s
+
+            This parameter is ignored if *c* is RGB(A).
+
+        alpha : float, default: None
+            The alpha blending value, between 0 (transparent) and 1 (opaque).
+
+        linewidths : float or array-like, default: :rc:`lines.linewidth`
+            The linewidth of the marker edges. Note: The default *edgecolors*
+            is 'face'. You may want to change this as well.
+
+        edgecolors : {'face', 'none', *None*} or :mpltype:`color` or list of \
+:mpltype:`color`, default: :rc:`scatter.edgecolors`
+            The edge color of the marker. Possible values:
+
+            - 'face': The edge color will always be the same as the face color.
+            - 'none': No patch boundary will be drawn.
+            - A color or sequence of colors.
+
+            For non-filled markers, *edgecolors* is ignored. Instead, the color
+            is determined like with 'face', i.e. from *c*, *colors*, or
+            *facecolors*.
+
+        %(colorizer_doc)s
+
+            This parameter is ignored if *c* is RGB(A).
+
+        plotnonfinite : bool, default: False
+            Whether to plot points with nonfinite *c* (i.e. ``inf``, ``-inf``
+            or ``nan``). If ``True`` the points are drawn with the *bad*
+            colormap color (see `.Colormap.set_bad`).
+
+        Returns
+        -------
+        `~matplotlib.collections.PathCollection`
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs : `~matplotlib.collections.PathCollection` properties
+            %(PathCollection:kwdoc)s
+
+        See Also
         --------
-        .. plot:: mpl_examples/shapes_and_collections/scatter_demo.py
+        plot : To plot scatter plots when markers are identical in size and
+            color.
 
-        """
+        Notes
+        -----
+        * The `.plot` function will be faster for scatterplots where markers
+          don't vary in size or color.
 
-        if not self._hold:
-            self.cla()
+        * Any or all of *x*, *y*, *s*, and *c* may be masked arrays, in which
+          case all masks will be combined and only unmasked points will be
+          plotted.
 
-        self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
-        x = self.convert_xunits(x)
-        y = self.convert_yunits(y)
+        * Fundamentally, scatter works with 1D arrays; *x*, *y*, *s*, and *c*
+          may be input as N-D arrays, but within scatter they will be
+          flattened. The exception is *c*, which will be flattened only if its
+          size matches the size of *x* and *y*.
 
+        """
+        # add edgecolors and linewidths to kwargs so they
+        # can be processed by normailze_kwargs
+        if edgecolors is not None:
+            kwargs.update({'edgecolors': edgecolors})
+        if linewidths is not None:
+            kwargs.update({'linewidths': linewidths})
+
+        kwargs = cbook.normalize_kwargs(kwargs, mcoll.Collection)
+        # re direct linewidth and edgecolor so it can be
+        # further processed by the rest of the function
+        linewidths = kwargs.pop('linewidth', None)
+        edgecolors = kwargs.pop('edgecolor', None)
+        # Process **kwargs to handle aliases, conflicts with explicit kwargs:
+        x, y = self._process_unit_info([("x", x), ("y", y)], kwargs)
         # np.ma.ravel yields an ndarray, not a masked array,
         # unless its argument is a masked array.
         x = np.ma.ravel(x)
@@ -3606,263 +5198,358 @@ def scatter(self, x, y, s=20, c='b', marker='o', cmap=None, norm=None,
         if x.size != y.size:
             raise ValueError("x and y must be the same size")
 
-        s = np.ma.ravel(s)  # This doesn't have to match x, y in size.
-
-        c_is_stringy = is_string_like(c) or is_sequence_of_strings(c)
-        if not c_is_stringy:
-            c = np.asanyarray(c)
-            if c.size == x.size:
-                c = np.ma.ravel(c)
-
-        x, y, s, c = cbook.delete_masked_points(x, y, s, c)
+        if s is None:
+            s = (20 if mpl.rcParams['_internal.classic_mode'] else
+                 mpl.rcParams['lines.markersize'] ** 2.0)
+        s = np.ma.ravel(s)
+        if (len(s) not in (1, x.size) or
+                (not np.issubdtype(s.dtype, np.floating) and
+                 not np.issubdtype(s.dtype, np.integer))):
+            raise ValueError(
+                "s must be a scalar, "
+                "or float array-like with the same size as x and y")
+
+        # get the original edgecolor the user passed before we normalize
+        orig_edgecolor = edgecolors
+        if edgecolors is None:
+            orig_edgecolor = kwargs.get('edgecolor', None)
+        c, colors, edgecolors = \
+            self._parse_scatter_color_args(
+                c, edgecolors, kwargs, x.size,
+                get_next_color_func=self._get_patches_for_fill.get_next_color)
+
+        if plotnonfinite and colors is None:
+            c = np.ma.masked_invalid(c)
+            x, y, s, edgecolors, linewidths = \
+                cbook._combine_masks(x, y, s, edgecolors, linewidths)
+        else:
+            x, y, s, c, colors, edgecolors, linewidths = \
+                cbook._combine_masks(
+                    x, y, s, c, colors, edgecolors, linewidths)
+        # Unmask edgecolors if it was actually a single RGB or RGBA.
+        if (x.size in (3, 4)
+                and np.ma.is_masked(edgecolors)
+                and not np.ma.is_masked(orig_edgecolor)):
+            edgecolors = edgecolors.data
 
         scales = s   # Renamed for readability below.
 
-        if c_is_stringy:
-            colors = mcolors.colorConverter.to_rgba_array(c, alpha)
-        else:
-            # The inherent ambiguity is resolved in favor of color
-            # mapping, not interpretation as rgb or rgba:
-            if c.size == x.size:
-                colors = None  # use cmap, norm after collection is created
-            else:
-                colors = mcolors.colorConverter.to_rgba_array(c, alpha)
-
-        faceted = kwargs.pop('faceted', None)
-        edgecolors = kwargs.get('edgecolors', None)
-        if faceted is not None:
-            cbook.warn_deprecated(
-                '1.2', name='faceted', alternative='edgecolor',
-                obj_type='option')
-            if faceted:
-                edgecolors = None
-            else:
-                edgecolors = 'none'
+        # load default marker from rcParams
+        marker = mpl._val_or_rc(marker, 'scatter.marker')
 
-        # to be API compatible
-        if marker is None and not (verts is None):
-            marker = (verts, 0)
-            verts = None
+        if isinstance(marker, mmarkers.MarkerStyle):
+            marker_obj = marker
+        else:
+            marker_obj = mmarkers.MarkerStyle(marker)
+        if cbook._str_equal(marker_obj.get_marker(), ","):
+            _api.warn_external(
+                "The pixel maker ',' is not supported on scatter(); using "
+                "a finite-sized square instead, which is not necessarily 1 pixel in "
+                "size. Use the square marker 's' instead to suppress this warning."
+            )
 
-        marker_obj = mmarkers.MarkerStyle(marker)
         path = marker_obj.get_path().transformed(
             marker_obj.get_transform())
         if not marker_obj.is_filled():
-            edgecolors = 'face'
+            if orig_edgecolor is not None:
+                _api.warn_external(
+                    f"You passed a edgecolor/edgecolors ({orig_edgecolor!r}) "
+                    f"for an unfilled marker ({marker!r}).  Matplotlib is "
+                    "ignoring the edgecolor in favor of the facecolor.  This "
+                    "behavior may change in the future."
+                )
+            # We need to handle markers that cannot be filled (like
+            # '+' and 'x') differently than markers that can be
+            # filled, but have their fillstyle set to 'none'.  This is
+            # to get:
+            #
+            #  - respecting the fillestyle if set
+            #  - maintaining back-compatibility for querying the facecolor of
+            #    the un-fillable markers.
+            #
+            # While not an ideal situation, but is better than the
+            # alternatives.
+            if marker_obj.get_fillstyle() == 'none':
+                # promote the facecolor to be the edgecolor
+                edgecolors = colors
+                # set the facecolor to 'none' (at the last chance) because
+                # we cannot fill a path if the facecolor is non-null
+                # (which is defendable at the renderer level).
+                colors = 'none'
+            else:
+                # if we are not nulling the face color we can do this
+                # simpler
+                edgecolors = 'face'
 
-        offsets = np.dstack((x, y))
+            if linewidths is None:
+                linewidths = mpl.rcParams['lines.linewidth']
+            elif np.iterable(linewidths):
+                linewidths = [
+                    lw if lw is not None else mpl.rcParams['lines.linewidth']
+                    for lw in linewidths]
+
+        offsets = np.ma.column_stack([x, y])
 
         collection = mcoll.PathCollection(
-                (path,), scales,
-                facecolors=colors,
-                edgecolors=edgecolors,
-                linewidths=linewidths,
-                offsets=offsets,
-                transOffset=kwargs.pop('transform', self.transData),
-                )
+            (path,), scales,
+            facecolors=colors,
+            edgecolors=edgecolors,
+            linewidths=linewidths,
+            offsets=offsets,
+            offset_transform=kwargs.pop('transform', self.transData),
+            alpha=alpha,
+        )
         collection.set_transform(mtransforms.IdentityTransform())
-        collection.set_alpha(alpha)
-        collection.update(kwargs)
-
         if colors is None:
-            if norm is not None:
-                assert(isinstance(norm, mcolors.Normalize))
-            collection.set_array(np.asarray(c))
-            collection.set_cmap(cmap)
-            collection.set_norm(norm)
-
-            if vmin is not None or vmax is not None:
-                collection.set_clim(vmin, vmax)
+            if colorizer:
+                collection._set_colorizer_check_keywords(colorizer, cmap=cmap,
+                                                         norm=norm, vmin=vmin,
+                                                         vmax=vmax)
             else:
-                collection.autoscale_None()
-
-        # The margin adjustment is a hack to deal with the fact that we don't
-        # want to transform all the symbols whose scales are in points
-        # to data coords to get the exact bounding box for efficiency
-        # reasons.  It can be done right if this is deemed important.
-        # Also, only bother with this padding if there is anything to draw.
-        if self._xmargin < 0.05 and x.size > 0:
-            self.set_xmargin(0.05)
-
-        if self._ymargin < 0.05 and x.size > 0:
-            self.set_ymargin(0.05)
+                collection.set_cmap(cmap)
+                collection.set_norm(norm)
+            collection.set_array(c)
+            collection._scale_norm(norm, vmin, vmax)
+        else:
+            extra_kwargs = {
+                    'cmap': cmap, 'norm': norm, 'vmin': vmin, 'vmax': vmax
+                    }
+            extra_keys = [k for k, v in extra_kwargs.items() if v is not None]
+            if any(extra_keys):
+                keys_str = ", ".join(f"'{k}'" for k in extra_keys)
+                _api.warn_external(
+                    "No data for colormapping provided via 'c'. "
+                    f"Parameters {keys_str} will be ignored")
+        collection._internal_update(kwargs)
+
+        # Classic mode only:
+        # ensure there are margins to allow for the
+        # finite size of the symbols.  In v2.x, margins
+        # are present by default, so we disable this
+        # scatter-specific override.
+        if mpl.rcParams['_internal.classic_mode']:
+            if self._xmargin < 0.05 and x.size > 0:
+                self.set_xmargin(0.05)
+            if self._ymargin < 0.05 and x.size > 0:
+                self.set_ymargin(0.05)
 
         self.add_collection(collection)
-        self.autoscale_view()
+        self._request_autoscale_view()
 
         return collection
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "gridsize")
+    @_preprocess_data(replace_names=["x", "y", "C"], label_namer="y")
+    @_docstring.interpd
     def hexbin(self, x, y, C=None, gridsize=100, bins=None,
                xscale='linear', yscale='linear', extent=None,
                cmap=None, norm=None, vmin=None, vmax=None,
-               alpha=None, linewidths=None, edgecolors='none',
+               alpha=None, linewidths=None, edgecolors='face',
                reduce_C_function=np.mean, mincnt=None, marginals=False,
-               **kwargs):
+               colorizer=None, **kwargs):
         """
-        Make a hexagonal binning plot.
-
-        Call signature::
-
-           hexbin(x, y, C = None, gridsize = 100, bins = None,
-                  xscale = 'linear', yscale = 'linear',
-                  cmap=None, norm=None, vmin=None, vmax=None,
-                  alpha=None, linewidths=None, edgecolors='none'
-                  reduce_C_function = np.mean, mincnt=None, marginals=True
-                  **kwargs)
-
-        Make a hexagonal binning plot of *x* versus *y*, where *x*,
-        *y* are 1-D sequences of the same length, *N*. If *C* is *None*
-        (the default), this is a histogram of the number of occurences
-        of the observations at (x[i],y[i]).
-
-        If *C* is specified, it specifies values at the coordinate
-        (x[i],y[i]). These values are accumulated for each hexagonal
-        bin and then reduced according to *reduce_C_function*, which
-        defaults to numpy's mean function (np.mean). (If *C* is
-        specified, it must also be a 1-D sequence of the same length
-        as *x* and *y*.)
-
-        *x*, *y* and/or *C* may be masked arrays, in which case only
-        unmasked points will be plotted.
+        Make a 2D hexagonal binning plot of points *x*, *y*.
 
-        Optional keyword arguments:
+        If *C* is *None*, the value of the hexagon is determined by the number
+        of points in the hexagon. Otherwise, *C* specifies values at the
+        coordinate (x[i], y[i]). For each hexagon, these values are reduced
+        using *reduce_C_function*.
 
-        *gridsize*: [ 100 | integer ]
-           The number of hexagons in the *x*-direction, default is
-           100. The corresponding number of hexagons in the
-           *y*-direction is chosen such that the hexagons are
-           approximately regular. Alternatively, gridsize can be a
-           tuple with two elements specifying the number of hexagons
-           in the *x*-direction and the *y*-direction.
-
-        *bins*: [ *None* | 'log' | integer | sequence ]
-           If *None*, no binning is applied; the color of each hexagon
-           directly corresponds to its count value.
-
-           If 'log', use a logarithmic scale for the color
-           map. Internally, :math:`log_{10}(i+1)` is used to
-           determine the hexagon color.
-
-           If an integer, divide the counts in the specified number
-           of bins, and color the hexagons accordingly.
-
-           If a sequence of values, the values of the lower bound of
-           the bins to be used.
-
-        *xscale*: [ 'linear' | 'log' ]
-           Use a linear or log10 scale on the horizontal axis.
-
-        *scale*: [ 'linear' | 'log' ]
-           Use a linear or log10 scale on the vertical axis.
+        Parameters
+        ----------
+        x, y : array-like
+            The data positions. *x* and *y* must be of the same length.
+
+        C : array-like, optional
+            If given, these values are accumulated in the bins. Otherwise,
+            every point has a value of 1. Must be of the same length as *x*
+            and *y*.
+
+        gridsize : int or (int, int), default: 100
+            If a single int, the number of hexagons in the *x*-direction.
+            The number of hexagons in the *y*-direction is chosen such that
+            the hexagons are approximately regular.
+
+            Alternatively, if a tuple (*nx*, *ny*), the number of hexagons
+            in the *x*-direction and the *y*-direction. In the
+            *y*-direction, counting is done along vertically aligned
+            hexagons, not along the zig-zag chains of hexagons; see the
+            following illustration.
+
+            .. plot::
+
+               import numpy
+               import matplotlib.pyplot as plt
+
+               np.random.seed(19680801)
+               n= 300
+               x = np.random.standard_normal(n)
+               y = np.random.standard_normal(n)
+
+               fig, ax = plt.subplots(figsize=(4, 4))
+               h = ax.hexbin(x, y, gridsize=(5, 3))
+               hx, hy = h.get_offsets().T
+               ax.plot(hx[24::3], hy[24::3], 'ro-')
+               ax.plot(hx[-3:], hy[-3:], 'ro-')
+               ax.set_title('gridsize=(5, 3)')
+               ax.axis('off')
+
+            To get approximately regular hexagons, choose
+            :math:`n_x = \\sqrt{3}\\,n_y`.
+
+        bins : 'log' or int or sequence, default: None
+            Discretization of the hexagon values.
+
+            - If *None*, no binning is applied; the color of each hexagon
+              directly corresponds to its count value.
+            - If 'log', use a logarithmic scale for the colormap.
+              Internally, :math:`log_{10}(i+1)` is used to determine the
+              hexagon color. This is equivalent to ``norm=LogNorm()``.
+            - If an integer, divide the counts in the specified number
+              of bins, and color the hexagons accordingly.
+            - If a sequence of values, the values of the lower bound of
+              the bins to be used.
+
+        xscale : {'linear', 'log'}, default: 'linear'
+            Use a linear or log10 scale on the horizontal axis.
+
+        yscale : {'linear', 'log'}, default: 'linear'
+            Use a linear or log10 scale on the vertical axis.
+
+        mincnt : int >= 0, default: *None*
+            If not *None*, only display cells with at least *mincnt*
+            number of points in the cell.
+
+        marginals : bool, default: *False*
+            If marginals is *True*, plot the marginal density as
+            colormapped rectangles along the bottom of the x-axis and
+            left of the y-axis.
+
+        extent : 4-tuple of float, default: *None*
+            The limits of the bins (xmin, xmax, ymin, ymax).
+            The default assigns the limits based on
+            *gridsize*, *x*, *y*, *xscale* and *yscale*.
+
+            If *xscale* or *yscale* is set to 'log', the limits are
+            expected to be the exponent for a power of 10. E.g. for
+            x-limits of 1 and 50 in 'linear' scale and y-limits
+            of 10 and 1000 in 'log' scale, enter (1, 50, 1, 3).
 
-        *mincnt*: [ *None* | a positive integer ]
-           If not *None*, only display cells with more than *mincnt*
-           number of points in the cell
+        Returns
+        -------
+        `~matplotlib.collections.PolyCollection`
+            A `.PolyCollection` defining the hexagonal bins.
 
-        *marginals*: [ *True* | *False* ]
-           if marginals is *True*, plot the marginal density as
-           colormapped rectagles along the bottom of the x-axis and
-           left of the y-axis
+            - `.PolyCollection.get_offsets` contains a Mx2 array containing
+              the x, y positions of the M hexagon centers in data coordinates.
+            - `.PolyCollection.get_array` contains the values of the M
+              hexagons.
 
-        *extent*: [ *None* | scalars (left, right, bottom, top) ]
-           The limits of the bins. The default assigns the limits
-           based on gridsize, x, y, xscale and yscale.
+            If *marginals* is *True*, horizontal
+            bar and vertical bar (both PolyCollections) will be attached
+            to the return collection as attributes *hbar* and *vbar*.
 
-        Other keyword arguments controlling color mapping and normalization
-        arguments:
+        Other Parameters
+        ----------------
+        %(cmap_doc)s
 
-        *cmap*: [ *None* | Colormap ]
-           a :class:`matplotlib.colors.Colormap` instance. If *None*,
-           defaults to rc ``image.cmap``.
+        %(norm_doc)s
 
-        *norm*: [ *None* | Normalize ]
-           :class:`matplotlib.colors.Normalize` instance is used to
-           scale luminance data to 0,1.
+        %(vmin_vmax_doc)s
 
-        *vmin* / *vmax*: scalar
-           *vmin* and *vmax* are used in conjunction with *norm* to normalize
-           luminance data.  If either are *None*, the min and max of the color
-           array *C* is used.  Note if you pass a norm instance, your settings
-           for *vmin* and *vmax* will be ignored.
+        alpha : float between 0 and 1, optional
+            The alpha blending value, between 0 (transparent) and 1 (opaque).
 
-        *alpha*: scalar between 0 and 1, or *None*
-           the alpha value for the patches
+        linewidths : float, default: *None*
+            If *None*, defaults to :rc:`patch.linewidth`.
 
-        *linewidths*: [ *None* | scalar ]
-           If *None*, defaults to rc lines.linewidth. Note that this
-           is a tuple, and if you set the linewidths argument you
-           must set it as a sequence of floats, as required by
-           :class:`~matplotlib.collections.RegularPolyCollection`.
+        edgecolors : {'face', 'none', *None*} or color, default: 'face'
+            The color of the hexagon edges. Possible values are:
 
-        Other keyword arguments controlling the Collection properties:
+            - 'face': Draw the edges in the same color as the fill color.
+            - 'none': No edges are drawn. This can sometimes lead to unsightly
+              unpainted pixels between the hexagons.
+            - *None*: Draw outlines in the default color.
+            - An explicit color.
 
-        *edgecolors*: [ *None* | ``'none'`` | mpl color | color sequence ]
-           If ``'none'``, draws the edges in the same color as the fill color.
-           This is the default, as it avoids unsightly unpainted pixels
-           between the hexagons.
+        reduce_C_function : callable, default: `numpy.mean`
+            The function to aggregate *C* within the bins. It is ignored if
+            *C* is not given. This must have the signature::
 
-           If *None*, draws the outlines in the default color.
+                def reduce_C_function(C: array) -> float
 
-           If a matplotlib color arg or sequence of rgba tuples, draws the
-           outlines in the specified color.
+            Commonly used functions are:
 
-        Here are the standard descriptions of all the
-        :class:`~matplotlib.collections.Collection` kwargs:
+            - `numpy.mean`: average of the points
+            - `numpy.sum`: integral of the point values
+            - `numpy.amax`: value taken from the largest point
 
-        %(Collection)s
+            By default will only reduce cells with at least 1 point because some
+            reduction functions (such as `numpy.amax`) will error/warn with empty
+            input. Changing *mincnt* will adjust the cutoff, and if set to 0 will
+            pass empty input to the reduction function.
 
-        The return value is a
-        :class:`~matplotlib.collections.PolyCollection` instance; use
-        :meth:`~matplotlib.collections.PolyCollection.get_array` on
-        this :class:`~matplotlib.collections.PolyCollection` to get
-        the counts in each hexagon. If *marginals* is *True*, horizontal
-        bar and vertical bar (both PolyCollections) will be attached
-        to the return collection as attributes *hbar* and *vbar*.
+        %(colorizer_doc)s
 
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        **Example:**
+        **kwargs : `~matplotlib.collections.PolyCollection` properties
+            All other keyword arguments are passed on to `.PolyCollection`:
 
-        .. plot:: mpl_examples/pylab_examples/hexbin_demo.py
+            %(PolyCollection:kwdoc)s
 
+        See Also
+        --------
+        hist2d : 2D histogram rectangular bins
         """
-
-        if not self._hold:
-            self.cla()
-
-        self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
+        self._process_unit_info([("x", x), ("y", y)], kwargs, convert=False)
 
         x, y, C = cbook.delete_masked_points(x, y, C)
 
         # Set the size of the hexagon grid
-        if iterable(gridsize):
+        if np.iterable(gridsize):
             nx, ny = gridsize
         else:
             nx = gridsize
             ny = int(nx / math.sqrt(3))
         # Count the number of data in each hexagon
-        x = np.array(x, float)
-        y = np.array(y, float)
+        x = np.asarray(x, float)
+        y = np.asarray(y, float)
+
+        # Will be log()'d if necessary, and then rescaled.
+        tx = x
+        ty = y
+
         if xscale == 'log':
             if np.any(x <= 0.0):
-                raise ValueError("x contains non-positive values, so can not"
-                                 " be log-scaled")
-            x = np.log10(x)
+                raise ValueError(
+                    "x contains non-positive values, so cannot be log-scaled")
+            tx = np.log10(tx)
         if yscale == 'log':
             if np.any(y <= 0.0):
-                raise ValueError("y contains non-positive values, so can not"
-                                 " be log-scaled")
-            y = np.log10(y)
+                raise ValueError(
+                    "y contains non-positive values, so cannot be log-scaled")
+            ty = np.log10(ty)
         if extent is not None:
             xmin, xmax, ymin, ymax = extent
+            if xmin > xmax:
+                raise ValueError("In extent, xmax must be greater than xmin")
+            if ymin > ymax:
+                raise ValueError("In extent, ymax must be greater than ymin")
         else:
-            xmin = np.amin(x)
-            xmax = np.amax(x)
-            ymin = np.amin(y)
-            ymax = np.amax(y)
+            xmin, xmax = (tx.min(), tx.max()) if len(x) else (0, 1)
+            ymin, ymax = (ty.min(), ty.max()) if len(y) else (0, 1)
+
             # to avoid issues with singular data, expand the min/max pairs
-            xmin, xmax = mtrans.nonsingular(xmin, xmax, expander=0.1)
-            ymin, ymax = mtrans.nonsingular(ymin, ymax, expander=0.1)
+            xmin, xmax = mtransforms.nonsingular(xmin, xmax, expander=0.1)
+            ymin, ymax = mtransforms.nonsingular(ymin, ymax, expander=0.1)
+
+        nx1 = nx + 1
+        ny1 = ny + 1
+        nx2 = nx
+        ny2 = ny
+        n = nx1 * ny1 + nx2 * ny2
 
         # In the x-direction, the hexagons exactly cover the region from
         # xmin to xmax. Need some padding to avoid roundoff errors.
@@ -3871,101 +5558,48 @@ def hexbin(self, x, y, C=None, gridsize=100, bins=None,
         xmax += padding
         sx = (xmax - xmin) / nx
         sy = (ymax - ymin) / ny
-
-        if marginals:
-            xorig = x.copy()
-            yorig = y.copy()
-
-        x = (x - xmin) / sx
-        y = (y - ymin) / sy
-        ix1 = np.round(x).astype(int)
-        iy1 = np.round(y).astype(int)
-        ix2 = np.floor(x).astype(int)
-        iy2 = np.floor(y).astype(int)
-
-        nx1 = nx + 1
-        ny1 = ny + 1
-        nx2 = nx
-        ny2 = ny
-        n = nx1 * ny1 + nx2 * ny2
-
-        d1 = (x - ix1) ** 2 + 3.0 * (y - iy1) ** 2
-        d2 = (x - ix2 - 0.5) ** 2 + 3.0 * (y - iy2 - 0.5) ** 2
+        # Positions in hexagon index coordinates.
+        ix = (tx - xmin) / sx
+        iy = (ty - ymin) / sy
+        ix1 = np.round(ix).astype(int)
+        iy1 = np.round(iy).astype(int)
+        ix2 = np.floor(ix).astype(int)
+        iy2 = np.floor(iy).astype(int)
+        # flat indices, plus one so that out-of-range points go to position 0.
+        i1 = np.where((0 <= ix1) & (ix1 < nx1) & (0 <= iy1) & (iy1 < ny1),
+                      ix1 * ny1 + iy1 + 1, 0)
+        i2 = np.where((0 <= ix2) & (ix2 < nx2) & (0 <= iy2) & (iy2 < ny2),
+                      ix2 * ny2 + iy2 + 1, 0)
+
+        d1 = (ix - ix1) ** 2 + 3.0 * (iy - iy1) ** 2
+        d2 = (ix - ix2 - 0.5) ** 2 + 3.0 * (iy - iy2 - 0.5) ** 2
         bdist = (d1 < d2)
-        if C is None:
-            accum = np.zeros(n)
-            # Create appropriate views into "accum" array.
-            lattice1 = accum[:nx1 * ny1]
-            lattice2 = accum[nx1 * ny1:]
-            lattice1.shape = (nx1, ny1)
-            lattice2.shape = (nx2, ny2)
-
-            for i in xrange(len(x)):
-                if bdist[i]:
-                    if ((ix1[i] >= 0) and (ix1[i] < nx1) and
-                        (iy1[i] >= 0) and (iy1[i] < ny1)):
-                        lattice1[ix1[i], iy1[i]] += 1
-                else:
-                    if ((ix2[i] >= 0) and (ix2[i] < nx2) and
-                        (iy2[i] >= 0) and (iy2[i] < ny2)):
-                        lattice2[ix2[i], iy2[i]] += 1
 
-            # threshold
+        if C is None:  # [1:] drops out-of-range points.
+            counts1 = np.bincount(i1[bdist], minlength=1 + nx1 * ny1)[1:]
+            counts2 = np.bincount(i2[~bdist], minlength=1 + nx2 * ny2)[1:]
+            accum = np.concatenate([counts1, counts2]).astype(float)
             if mincnt is not None:
-                for i in xrange(nx1):
-                    for j in xrange(ny1):
-                        if lattice1[i, j] < mincnt:
-                            lattice1[i, j] = np.nan
-                for i in xrange(nx2):
-                    for j in xrange(ny2):
-                        if lattice2[i, j] < mincnt:
-                            lattice2[i, j] = np.nan
-            accum = np.hstack((lattice1.astype(float).ravel(),
-                               lattice2.astype(float).ravel()))
-            good_idxs = ~np.isnan(accum)
-
+                accum[accum < mincnt] = np.nan
+            C = np.ones(len(x))
         else:
-            if mincnt is None:
-                mincnt = 0
-
-            # create accumulation arrays
-            lattice1 = np.empty((nx1, ny1), dtype=object)
-            for i in xrange(nx1):
-                for j in xrange(ny1):
-                    lattice1[i, j] = []
-            lattice2 = np.empty((nx2, ny2), dtype=object)
-            for i in xrange(nx2):
-                for j in xrange(ny2):
-                    lattice2[i, j] = []
-
-            for i in xrange(len(x)):
+            # store the C values in a list per hexagon index
+            Cs_at_i1 = [[] for _ in range(1 + nx1 * ny1)]
+            Cs_at_i2 = [[] for _ in range(1 + nx2 * ny2)]
+            for i in range(len(x)):
                 if bdist[i]:
-                    if ((ix1[i] >= 0) and (ix1[i] < nx1) and
-                        (iy1[i] >= 0) and (iy1[i] < ny1)):
-                        lattice1[ix1[i], iy1[i]].append(C[i])
+                    Cs_at_i1[i1[i]].append(C[i])
                 else:
-                    if ((ix2[i] >= 0) and (ix2[i] < nx2) and
-                        (iy2[i] >= 0) and (iy2[i] < ny2)):
-                        lattice2[ix2[i], iy2[i]].append(C[i])
-
-            for i in xrange(nx1):
-                for j in xrange(ny1):
-                    vals = lattice1[i, j]
-                    if len(vals) > mincnt:
-                        lattice1[i, j] = reduce_C_function(vals)
-                    else:
-                        lattice1[i, j] = np.nan
-            for i in xrange(nx2):
-                for j in xrange(ny2):
-                    vals = lattice2[i, j]
-                    if len(vals) > mincnt:
-                        lattice2[i, j] = reduce_C_function(vals)
-                    else:
-                        lattice2[i, j] = np.nan
+                    Cs_at_i2[i2[i]].append(C[i])
+            if mincnt is None:
+                mincnt = 1
+            accum = np.array(
+                [reduce_C_function(acc) if len(acc) >= mincnt else np.nan
+                 for Cs_at_i in [Cs_at_i1, Cs_at_i2]
+                 for acc in Cs_at_i[1:]],  # [1:] drops out-of-range points.
+                float)
 
-            accum = np.hstack((lattice1.astype(float).ravel(),
-                               lattice2.astype(float).ravel()))
-            good_idxs = ~np.isnan(accum)
+        good_idxs = ~np.isnan(accum)
 
         offsets = np.zeros((n, 2), float)
         offsets[:nx1 * ny1, 0] = np.repeat(np.arange(nx1), ny1)
@@ -3980,15 +5614,14 @@ def hexbin(self, x, y, C=None, gridsize=100, bins=None,
         offsets = offsets[good_idxs, :]
         accum = accum[good_idxs]
 
-        polygon = np.zeros((6, 2), float)
-        polygon[:, 0] = sx * np.array([0.5, 0.5, 0.0, -0.5, -0.5, 0.0])
-        polygon[:, 1] = sy * np.array([-0.5, 0.5, 1.0, 0.5, -0.5, -1.0]) / 3.0
+        polygon = [sx, sy / 3] * np.array(
+            [[.5, -.5], [.5, .5], [0., 1.], [-.5, .5], [-.5, -.5], [0., -1.]])
 
-        if edgecolors == 'none':
-            edgecolors = 'face'
+        if linewidths is None:
+            linewidths = [mpl.rcParams['patch.linewidth']]
 
         if xscale == 'log' or yscale == 'log':
-            polygons = np.expand_dims(polygon, 0) + np.expand_dims(offsets, 1)
+            polygons = np.expand_dims(polygon, 0)
             if xscale == 'log':
                 polygons[:, :, 0] = 10.0 ** polygons[:, :, 0]
                 xmin = 10.0 ** xmin
@@ -3999,177 +5632,143 @@ def hexbin(self, x, y, C=None, gridsize=100, bins=None,
                 ymin = 10.0 ** ymin
                 ymax = 10.0 ** ymax
                 self.set_yscale(yscale)
-            collection = mcoll.PolyCollection(
-                polygons,
-                edgecolors=edgecolors,
-                linewidths=linewidths,
-                )
         else:
-            collection = mcoll.PolyCollection(
-                [polygon],
-                edgecolors=edgecolors,
-                linewidths=linewidths,
-                offsets=offsets,
-                transOffset=mtransforms.IdentityTransform(),
-                offset_position="data"
-                )
+            polygons = [polygon]
+
+        collection = mcoll.PolyCollection(
+            polygons,
+            edgecolors=edgecolors,
+            linewidths=linewidths,
+            offsets=offsets,
+            offset_transform=mtransforms.AffineDeltaTransform(self.transData)
+        )
 
-        if isinstance(norm, mcolors.LogNorm):
-            if (accum == 0).any():
-                # make sure we have not zeros
-                accum += 1
+        # Set normalizer if bins is 'log'
+        if cbook._str_equal(bins, 'log'):
+            if norm is not None:
+                _api.warn_external("Only one of 'bins' and 'norm' arguments "
+                                   f"can be supplied, ignoring {bins=}")
+            else:
+                norm = mcolors.LogNorm(vmin=vmin, vmax=vmax)
+                vmin = vmax = None
+            bins = None
 
-        # autoscale the norm with curren accum values if it hasn't
-        # been set
-        if norm is not None:
-            if norm.vmin is None and norm.vmax is None:
-                norm.autoscale(accum)
-
-        # Transform accum if needed
-        if bins == 'log':
-            accum = np.log10(accum + 1)
-        elif bins is not None:
-            if not iterable(bins):
+        if bins is not None:
+            if not np.iterable(bins):
                 minimum, maximum = min(accum), max(accum)
                 bins -= 1  # one less edge than bins
                 bins = minimum + (maximum - minimum) * np.arange(bins) / bins
             bins = np.sort(bins)
             accum = bins.searchsorted(accum)
 
-        if norm is not None:
-            assert(isinstance(norm, mcolors.Normalize))
+        if colorizer:
+            collection._set_colorizer_check_keywords(colorizer, cmap=cmap,
+                                                     norm=norm, vmin=vmin,
+                                                     vmax=vmax)
+        else:
+            collection.set_cmap(cmap)
+            collection.set_norm(norm)
         collection.set_array(accum)
-        collection.set_cmap(cmap)
-        collection.set_norm(norm)
         collection.set_alpha(alpha)
-        collection.update(kwargs)
+        collection._internal_update(kwargs)
+        collection._scale_norm(norm, vmin, vmax)
 
-        if vmin is not None or vmax is not None:
-            collection.set_clim(vmin, vmax)
-        else:
-            collection.autoscale_None()
+        # autoscale the norm with current accum values if it hasn't been set
+        if norm is not None:
+            if collection.norm.vmin is None and collection.norm.vmax is None:
+                collection.norm.autoscale()
 
         corners = ((xmin, ymin), (xmax, ymax))
         self.update_datalim(corners)
-        self.autoscale_view(tight=True)
+        self._request_autoscale_view(tight=True)
 
         # add the collection last
         self.add_collection(collection, autolim=False)
         if not marginals:
             return collection
 
-        if C is None:
-            C = np.ones(len(x))
-
-        def coarse_bin(x, y, coarse):
-            ind = coarse.searchsorted(x).clip(0, len(coarse) - 1)
-            mus = np.zeros(len(coarse))
-            for i in range(len(coarse)):
-                mu = reduce_C_function(y[ind == i])
-                mus[i] = mu
-            return mus
-
-        coarse = np.linspace(xmin, xmax, gridsize)
-
-        xcoarse = coarse_bin(xorig, C, coarse)
-        valid = ~np.isnan(xcoarse)
-        verts, values = [], []
-        for i, val in enumerate(xcoarse):
-            thismin = coarse[i]
-            if i < len(coarse) - 1:
-                thismax = coarse[i + 1]
-            else:
-                thismax = thismin + np.diff(coarse)[-1]
-
-            if not valid[i]:
-                continue
-
-            verts.append([(thismin, 0),
-                          (thismin, 0.05),
-                          (thismax, 0.05),
-                          (thismax, 0)])
-            values.append(val)
-
-        values = np.array(values)
-        trans = self.get_xaxis_transform(which='grid')
+        # Process marginals
+        bars = []
+        for zname, z, zmin, zmax, zscale, nbins in [
+                ("x", x, xmin, xmax, xscale, nx),
+                ("y", y, ymin, ymax, yscale, 2 * ny),
+        ]:
 
-        hbar = mcoll.PolyCollection(verts, transform=trans, edgecolors='face')
-
-        hbar.set_array(values)
-        hbar.set_cmap(cmap)
-        hbar.set_norm(norm)
-        hbar.set_alpha(alpha)
-        hbar.update(kwargs)
-        self.add_collection(hbar, autolim=False)
-
-        coarse = np.linspace(ymin, ymax, gridsize)
-        ycoarse = coarse_bin(yorig, C, coarse)
-        valid = ~np.isnan(ycoarse)
-        verts, values = [], []
-        for i, val in enumerate(ycoarse):
-            thismin = coarse[i]
-            if i < len(coarse) - 1:
-                thismax = coarse[i + 1]
+            if zscale == "log":
+                bin_edges = np.geomspace(zmin, zmax, nbins + 1)
             else:
-                thismax = thismin + np.diff(coarse)[-1]
-            if not valid[i]:
-                continue
-            verts.append([(0, thismin), (0.0, thismax),
-                          (0.05, thismax), (0.05, thismin)])
-            values.append(val)
-
-        values = np.array(values)
-
-        trans = self.get_yaxis_transform(which='grid')
-
-        vbar = mcoll.PolyCollection(verts, transform=trans, edgecolors='face')
-        vbar.set_array(values)
-        vbar.set_cmap(cmap)
-        vbar.set_norm(norm)
-        vbar.set_alpha(alpha)
-        vbar.update(kwargs)
-        self.add_collection(vbar, autolim=False)
-
-        collection.hbar = hbar
-        collection.vbar = vbar
+                bin_edges = np.linspace(zmin, zmax, nbins + 1)
+
+            verts = np.empty((nbins, 4, 2))
+            verts[:, 0, 0] = verts[:, 1, 0] = bin_edges[:-1]
+            verts[:, 2, 0] = verts[:, 3, 0] = bin_edges[1:]
+            verts[:, 0, 1] = verts[:, 3, 1] = .00
+            verts[:, 1, 1] = verts[:, 2, 1] = .05
+            if zname == "y":
+                verts = verts[:, :, ::-1]  # Swap x and y.
+
+            # Sort z-values into bins defined by bin_edges.
+            bin_idxs = np.searchsorted(bin_edges, z) - 1
+            values = np.empty(nbins)
+            for i in range(nbins):
+                # Get C-values for each bin, and compute bin value with
+                # reduce_C_function.
+                ci = C[bin_idxs == i]
+                values[i] = reduce_C_function(ci) if len(ci) > 0 else np.nan
+
+            mask = ~np.isnan(values)
+            verts = verts[mask]
+            values = values[mask]
+
+            trans = getattr(self, f"get_{zname}axis_transform")(which="grid")
+            bar = mcoll.PolyCollection(
+                verts, transform=trans, edgecolors="face")
+            bar.set_array(values)
+            bar.set_cmap(cmap)
+            bar.set_norm(norm)
+            bar.set_alpha(alpha)
+            bar._internal_update(kwargs)
+            bars.append(self.add_collection(bar, autolim=False))
+
+        collection.hbar, collection.vbar = bars
 
         def on_changed(collection):
-            hbar.set_cmap(collection.get_cmap())
-            hbar.set_clim(collection.get_clim())
-            vbar.set_cmap(collection.get_cmap())
-            vbar.set_clim(collection.get_clim())
+            collection.hbar.set_cmap(collection.get_cmap())
+            collection.hbar.set_cmap(collection.get_cmap())
+            collection.vbar.set_clim(collection.get_clim())
+            collection.vbar.set_clim(collection.get_clim())
 
-        collection.callbacksSM.connect('changed', on_changed)
+        collection.callbacks.connect('changed', on_changed)
 
         return collection
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def arrow(self, x, y, dx, dy, **kwargs):
         """
-        Add an arrow to the axes.
-
-        Call signature::
+        [*Discouraged*] Add an arrow to the Axes.
 
-           arrow(x, y, dx, dy, **kwargs)
+        This draws an arrow from ``(x, y)`` to ``(x+dx, y+dy)``.
 
-        Draws arrow on specified axis from (*x*, *y*) to (*x* + *dx*,
-        *y* + *dy*). Uses FancyArrow patch to construct the arrow.
+        .. admonition:: Discouraged
 
-        The resulting arrow is affected by the axes aspect ratio and limits.
-        This may produce an arrow whose head is not square with its stem. To
-        create an arrow whose head is square with its stem, use
-        :meth:`annotate` for example::
+            The use of this method is discouraged because it is not guaranteed
+            that the arrow renders reasonably. For example, the resulting arrow
+            is affected by the Axes aspect ratio and limits, which may distort
+            the arrow.
 
-            ax.annotate("", xy=(0.5, 0.5), xytext=(0, 0),
-                arrowprops=dict(arrowstyle="->"))
+            Consider using `~.Axes.annotate` without a text instead, e.g. ::
 
-        Optional kwargs control the arrow construction and properties:
+                ax.annotate("", xytext=(0, 0), xy=(0.5, 0.5),
+                            arrowprops=dict(arrowstyle="->"))
 
+        Parameters
+        ----------
         %(FancyArrow)s
 
-        **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/arrow_demo.py
+        Returns
+        -------
+        `.FancyArrow`
+            The created `.FancyArrow` object.
         """
         # Strip away units for the underlying patch since units
         # do not make sense to most patch-like code
@@ -4179,495 +5778,482 @@ def arrow(self, x, y, dx, dy, **kwargs):
         dy = self.convert_yunits(dy)
 
         a = mpatches.FancyArrow(x, y, dx, dy, **kwargs)
-        self.add_artist(a)
+        self.add_patch(a)
+        self._request_autoscale_view()
         return a
 
-    def quiverkey(self, *args, **kw):
-        qk = mquiver.QuiverKey(*args, **kw)
+    @_docstring.copy(mquiver.QuiverKey.__init__)
+    def quiverkey(self, Q, X, Y, U, label, **kwargs):
+        qk = mquiver.QuiverKey(Q, X, Y, U, label, **kwargs)
         self.add_artist(qk)
         return qk
-    quiverkey.__doc__ = mquiver.QuiverKey.quiverkey_doc
-
-    def quiver(self, *args, **kw):
-        if not self._hold:
-            self.cla()
-        q = mquiver.Quiver(self, *args, **kw)
 
+    # Handle units for x and y, if they've been passed
+    def _quiver_units(self, args, kwargs):
+        if len(args) > 3:
+            x, y = args[0:2]
+            x, y = self._process_unit_info([("x", x), ("y", y)], kwargs)
+            return (x, y) + args[2:]
+        return args
+
+    # args can be a combination of X, Y, U, V, C and all should be replaced
+    @_preprocess_data()
+    @_docstring.interpd
+    def quiver(self, *args, **kwargs):
+        """%(quiver_doc)s"""
+        # Make sure units are handled for x and y values
+        args = self._quiver_units(args, kwargs)
+        q = mquiver.Quiver(self, *args, **kwargs)
         self.add_collection(q, autolim=True)
-        self.autoscale_view()
+        self._request_autoscale_view()
         return q
-    quiver.__doc__ = mquiver.Quiver.quiver_doc
-
-    def stackplot(self, x, *args, **kwargs):
-        return mstack.stackplot(self, x, *args, **kwargs)
-    stackplot.__doc__ = mstack.stackplot.__doc__
-
-    def streamplot(self, x, y, u, v, density=1, linewidth=None, color=None,
-                   cmap=None, norm=None, arrowsize=1, arrowstyle='-|>',
-                   minlength=0.1, transform=None, zorder=1):
-        if not self._hold:
-            self.cla()
-        stream_container = mstream.streamplot(self, x, y, u, v,
-                                              density=density,
-                                              linewidth=linewidth,
-                                              color=color,
-                                              cmap=cmap,
-                                              norm=norm,
-                                              arrowsize=arrowsize,
-                                              arrowstyle=arrowstyle,
-                                              minlength=minlength,
-                                              transform=transform,
-                                              zorder=zorder)
-        return stream_container
-    streamplot.__doc__ = mstream.streamplot.__doc__
-
-    @docstring.dedent_interpd
-    def barbs(self, *args, **kw):
-        """
-        %(barbs_doc)s
-
-        **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/barb_demo.py
-        """
-        if not self._hold:
-            self.cla()
-        b = mquiver.Barbs(self, *args, **kw)
+
+    # args can be some combination of X, Y, U, V, C and all should be replaced
+    @_preprocess_data()
+    @_docstring.interpd
+    def barbs(self, *args, **kwargs):
+        """%(barbs_doc)s"""
+        # Make sure units are handled for x and y values
+        args = self._quiver_units(args, kwargs)
+        b = mquiver.Barbs(self, *args, **kwargs)
         self.add_collection(b, autolim=True)
-        self.autoscale_view()
+        self._request_autoscale_view()
         return b
 
-    @docstring.dedent_interpd
-    def fill(self, *args, **kwargs):
+    # Uses a custom implementation of data-kwarg handling in
+    # _process_plot_var_args.
+    def fill(self, *args, data=None, **kwargs):
         """
         Plot filled polygons.
 
-        Call signature::
-
-          fill(*args, **kwargs)
-
-        *args* is a variable length argument, allowing for multiple
-        *x*, *y* pairs with an optional color format string; see
-        :func:`~matplotlib.pyplot.plot` for details on the argument
-        parsing.  For example, to plot a polygon with vertices at *x*,
-        *y* in blue.::
-
-          ax.fill(x,y, 'b' )
-
-        An arbitrary number of *x*, *y*, *color* groups can be specified::
-
-          ax.fill(x1, y1, 'g', x2, y2, 'r')
-
-        Return value is a list of :class:`~matplotlib.patches.Patch`
-        instances that were added.
+        Parameters
+        ----------
+        *args : sequence of x, y, [color]
+            Each polygon is defined by the lists of *x* and *y* positions of
+            its nodes, optionally followed by a *color* specifier. See
+            :mod:`matplotlib.colors` for supported color specifiers. The
+            standard color cycle is used for polygons without a color
+            specifier.
 
-        The same color strings that :func:`~matplotlib.pyplot.plot`
-        supports are supported by the fill format string.
+            You can plot multiple polygons by providing multiple *x*, *y*,
+            *[color]* groups.
 
-        If you would like to fill below a curve, e.g., shade a region
-        between 0 and *y* along *x*, use :meth:`fill_between`
+            For example, each of the following is legal::
 
-        The *closed* kwarg will close the polygon when *True* (default).
+                ax.fill(x, y)                    # a polygon with default color
+                ax.fill(x, y, "b")               # a blue polygon
+                ax.fill(x, y, x2, y2)            # two polygons
+                ax.fill(x, y, "b", x2, y2, "r")  # a blue and a red polygon
 
-        kwargs control the :class:`~matplotlib.patches.Polygon` properties:
+        data : indexable object, optional
+            An object with labelled data. If given, provide the label names to
+            plot in *x* and *y*, e.g.::
 
-        %(Polygon)s
+                ax.fill("time", "signal",
+                        data={"time": [0, 1, 2], "signal": [0, 1, 0]})
 
-        **Example:**
+        Returns
+        -------
+        list of `~matplotlib.patches.Polygon`
 
-        .. plot:: mpl_examples/lines_bars_and_markers/fill_demo.py
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Polygon` properties
 
+        Notes
+        -----
+        Use :meth:`fill_between` if you would like to fill the region between
+        two curves.
         """
-        if not self._hold:
-            self.cla()
-
-        patches = []
-        for poly in self._get_patches_for_fill(*args, **kwargs):
+        # For compatibility(!), get aliases from Line2D rather than Patch.
+        kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
+        # _get_patches_for_fill returns a generator, convert it to a list.
+        patches = [*self._get_patches_for_fill(self, *args, data=data, **kwargs)]
+        for poly in patches:
             self.add_patch(poly)
-            patches.append(poly)
-        self.autoscale_view()
+        self._request_autoscale_view()
         return patches
 
-    @docstring.dedent_interpd
-    def fill_between(self, x, y1, y2=0, where=None, interpolate=False,
-                     **kwargs):
+    def _fill_between_x_or_y(
+            self, ind_dir, ind, dep1, dep2=0, *,
+            where=None, interpolate=False, step=None, **kwargs):
+        # Common implementation between fill_between (*ind_dir*="x") and
+        # fill_betweenx (*ind_dir*="y").  *ind* is the independent variable,
+        # *dep* the dependent variable.  The docstring below is interpolated
+        # to generate both methods' docstrings.
         """
-        Make filled polygons between two curves.
-
-        Call signature::
+        Fill the area between two {dir} curves.
 
-          fill_between(x, y1, y2=0, where=None, **kwargs)
+        The curves are defined by the points (*{ind}*, *{dep}1*) and (*{ind}*,
+        *{dep}2*).  This creates one or multiple polygons describing the filled
+        area.
 
-        Create a :class:`~matplotlib.collections.PolyCollection`
-        filling the regions between *y1* and *y2* where
-        ``where==True``
+        You may exclude some {dir} sections from filling using *where*.
 
-          *x* :
-            An N-length array of the x data
+        By default, the edges connect the given points directly.  Use *step*
+        if the filling should be a step function, i.e. constant in between
+        *{ind}*.
 
-          *y1* :
-            An N-length array (or scalar) of the y data
-
-          *y2* :
-            An N-length array (or scalar) of the y data
-
-          *where* :
-            If *None*, default to fill between everywhere.  If not *None*,
-            it is an N-length numpy boolean array and the fill will
-            only happen over the regions where ``where==True``.
-
-          *interpolate* :
-            If *True*, interpolate between the two lines to find the
-            precise point of intersection.  Otherwise, the start and
-            end points of the filled region will only occur on explicit
-            values in the *x* array.
-
-          *kwargs* :
-            Keyword args passed on to the
-            :class:`~matplotlib.collections.PolyCollection`.
-
-        kwargs control the :class:`~matplotlib.patches.Polygon` properties:
+        Parameters
+        ----------
+        {ind} : array-like
+            The {ind} coordinates of the nodes defining the curves.
+
+        {dep}1 : array-like or float
+            The {dep} coordinates of the nodes defining the first curve.
+
+        {dep}2 : array-like or float, default: 0
+            The {dep} coordinates of the nodes defining the second curve.
+
+        where : array-like of bool, optional
+            Define *where* to exclude some {dir} regions from being filled.
+            The filled regions are defined by the coordinates ``{ind}[where]``.
+            More precisely, fill between ``{ind}[i]`` and ``{ind}[i+1]`` if
+            ``where[i] and where[i+1]``.  Note that this definition implies
+            that an isolated *True* value between two *False* values in *where*
+            will not result in filling.  Both sides of the *True* position
+            remain unfilled due to the adjacent *False* values.
+
+        interpolate : bool, default: False
+            This option is only relevant if *where* is used and the two curves
+            are crossing each other.
+
+            Semantically, *where* is often used for *{dep}1* > *{dep}2* or
+            similar.  By default, the nodes of the polygon defining the filled
+            region will only be placed at the positions in the *{ind}* array.
+            Such a polygon cannot describe the above semantics close to the
+            intersection.  The {ind}-sections containing the intersection are
+            simply clipped.
+
+            Setting *interpolate* to *True* will calculate the actual
+            intersection point and extend the filled region up to this point.
+
+        step : {{'pre', 'post', 'mid'}}, optional
+            Define *step* if the filling should be a step function,
+            i.e. constant in between *{ind}*.  The value determines where the
+            step will occur:
+
+            - 'pre': The {dep} value is continued constantly to the left from
+              every *{ind}* position, i.e. the interval ``({ind}[i-1], {ind}[i]]``
+              has the value ``{dep}[i]``.
+            - 'post': The y value is continued constantly to the right from
+              every *{ind}* position, i.e. the interval ``[{ind}[i], {ind}[i+1])``
+              has the value ``{dep}[i]``.
+            - 'mid': Steps occur half-way between the *{ind}* positions.
 
-        %(PolyCollection)s
+        Returns
+        -------
+        `.FillBetweenPolyCollection`
+            A `.FillBetweenPolyCollection` containing the plotted polygons.
 
-        .. plot:: mpl_examples/pylab_examples/fill_between_demo.py
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        .. seealso::
+        **kwargs
+            All other keyword arguments are passed on to
+            `.FillBetweenPolyCollection`. They control the `.Polygon` properties:
 
-            :meth:`fill_betweenx`
-                for filling between two sets of x-values
+            %(FillBetweenPolyCollection:kwdoc)s
 
+        See Also
+        --------
+        fill_between : Fill between two sets of y-values.
+        fill_betweenx : Fill between two sets of x-values.
         """
-        # Handle united data, such as dates
-        self._process_unit_info(xdata=x, ydata=y1, kwargs=kwargs)
-        self._process_unit_info(ydata=y2)
-
-        # Convert the arrays so we can work with them
-        x = ma.masked_invalid(self.convert_xunits(x))
-        y1 = ma.masked_invalid(self.convert_yunits(y1))
-        y2 = ma.masked_invalid(self.convert_yunits(y2))
+        dep_dir = mcoll.FillBetweenPolyCollection._f_dir_from_t(ind_dir)
 
-        if y1.ndim == 0:
-            y1 = np.ones_like(x) * y1
-        if y2.ndim == 0:
-            y2 = np.ones_like(x) * y2
+        if not mpl.rcParams["_internal.classic_mode"]:
+            kwargs = cbook.normalize_kwargs(kwargs, mcoll.Collection)
+            if not any(c in kwargs for c in ("color", "facecolor")):
+                kwargs["facecolor"] = self._get_patches_for_fill.get_next_color()
 
-        if where is None:
-            where = np.ones(len(x), np.bool)
-        else:
-            where = np.asarray(where, np.bool)
+        ind, dep1, dep2 = self._fill_between_process_units(
+            ind_dir, dep_dir, ind, dep1, dep2, **kwargs)
 
-        if not (x.shape == y1.shape == y2.shape == where.shape):
-            raise ValueError("Argument dimensions are incompatible")
+        collection = mcoll.FillBetweenPolyCollection(
+            ind_dir, ind, dep1, dep2,
+            where=where, interpolate=interpolate, step=step, **kwargs)
 
-        mask = reduce(ma.mask_or, [ma.getmask(a) for a in (x, y1, y2)])
-        if mask is not ma.nomask:
-            where &= ~mask
+        self.add_collection(collection)
+        self._request_autoscale_view()
+        return collection
 
-        polys = []
-        for ind0, ind1 in mlab.contiguous_regions(where):
-            xslice = x[ind0:ind1]
-            y1slice = y1[ind0:ind1]
-            y2slice = y2[ind0:ind1]
+    def _fill_between_process_units(self, ind_dir, dep_dir, ind, dep1, dep2, **kwargs):
+        """Handle united data, such as dates."""
+        return map(np.ma.masked_invalid, self._process_unit_info(
+            [(ind_dir, ind), (dep_dir, dep1), (dep_dir, dep2)], kwargs))
 
-            if not len(xslice):
-                continue
+    def fill_between(self, x, y1, y2=0, where=None, interpolate=False,
+                     step=None, **kwargs):
+        return self._fill_between_x_or_y(
+            "x", x, y1, y2,
+            where=where, interpolate=interpolate, step=step, **kwargs)
+
+    if _fill_between_x_or_y.__doc__:
+        fill_between.__doc__ = _fill_between_x_or_y.__doc__.format(
+            dir="horizontal", ind="x", dep="y"
+        )
+    fill_between = _preprocess_data(
+        _docstring.interpd(fill_between),
+        replace_names=["x", "y1", "y2", "where"])
+
+    def fill_betweenx(self, y, x1, x2=0, where=None,
+                      step=None, interpolate=False, **kwargs):
+        return self._fill_between_x_or_y(
+            "y", y, x1, x2,
+            where=where, interpolate=interpolate, step=step, **kwargs)
+
+    if _fill_between_x_or_y.__doc__:
+        fill_betweenx.__doc__ = _fill_between_x_or_y.__doc__.format(
+            dir="vertical", ind="y", dep="x"
+        )
+    fill_betweenx = _preprocess_data(
+        _docstring.interpd(fill_betweenx),
+        replace_names=["y", "x1", "x2", "where"])
+
+    #### plotting z(x, y): imshow, pcolor and relatives, contour
+
+    @_preprocess_data()
+    @_docstring.interpd
+    def imshow(self, X, cmap=None, norm=None, *, aspect=None,
+               interpolation=None, alpha=None,
+               vmin=None, vmax=None, colorizer=None, origin=None, extent=None,
+               interpolation_stage=None, filternorm=True, filterrad=4.0,
+               resample=None, url=None, **kwargs):
+        """
+        Display data as an image, i.e., on a 2D regular raster.
 
-            N = len(xslice)
-            X = np.zeros((2 * N + 2, 2), np.float)
-
-            if interpolate:
-                def get_interp_point(ind):
-                    im1 = max(ind - 1, 0)
-                    x_values = x[im1:ind + 1]
-                    diff_values = y1[im1:ind + 1] - y2[im1:ind + 1]
-                    y1_values = y1[im1:ind + 1]
-
-                    if len(diff_values) == 2:
-                        if np.ma.is_masked(diff_values[1]):
-                            return x[im1], y1[im1]
-                        elif np.ma.is_masked(diff_values[0]):
-                            return x[ind], y1[ind]
-
-                    diff_order = diff_values.argsort()
-                    diff_root_x = np.interp(
-                        0, diff_values[diff_order], x_values[diff_order])
-                    diff_root_y = np.interp(diff_root_x, x_values, y1_values)
-                    return diff_root_x, diff_root_y
-
-                start = get_interp_point(ind0)
-                end = get_interp_point(ind1)
-            else:
-                # the purpose of the next two lines is for when y2 is a
-                # scalar like 0 and we want the fill to go all the way
-                # down to 0 even if none of the y1 sample points do
-                start = xslice[0], y2slice[0]
-                end = xslice[-1], y2slice[-1]
-
-            X[0] = start
-            X[N + 1] = end
-
-            X[1:N + 1, 0] = xslice
-            X[1:N + 1, 1] = y1slice
-            X[N + 2:, 0] = xslice[::-1]
-            X[N + 2:, 1] = y2slice[::-1]
-
-            polys.append(X)
-
-        collection = mcoll.PolyCollection(polys, **kwargs)
-
-        # now update the datalim and autoscale
-        XY1 = np.array([x[where], y1[where]]).T
-        XY2 = np.array([x[where], y2[where]]).T
-        self.dataLim.update_from_data_xy(XY1, self.ignore_existing_data_limits,
-                                         updatex=True, updatey=True)
-        self.ignore_existing_data_limits = False
-        self.dataLim.update_from_data_xy(XY2, self.ignore_existing_data_limits,
-                                         updatex=False, updatey=True)
-        self.add_collection(collection, autolim=False)
-        self.autoscale_view()
-        return collection
+        The input may either be actual RGB(A) data, or 2D scalar data, which
+        will be rendered as a pseudocolor image. For displaying a grayscale
+        image, set up the colormapping using the parameters
+        ``cmap='gray', vmin=0, vmax=255``.
 
-    @docstring.dedent_interpd
-    def fill_betweenx(self, y, x1, x2=0, where=None, **kwargs):
-        """
-        Make filled polygons between two horizontal curves.
+        The number of pixels used to render an image is set by the Axes size
+        and the figure *dpi*. This can lead to aliasing artifacts when
+        the image is resampled, because the displayed image size will usually
+        not match the size of *X* (see
+        :doc:`/gallery/images_contours_and_fields/image_antialiasing`).
+        The resampling can be controlled via the *interpolation* parameter
+        and/or :rc:`image.interpolation`.
 
-        Call signature::
+        Parameters
+        ----------
+        X : array-like or PIL image
+            The image data. Supported array shapes are:
 
-          fill_betweenx(y, x1, x2=0, where=None, **kwargs)
+            - (M, N): an image with scalar data. The values are mapped to
+              colors using normalization and a colormap. See parameters *norm*,
+              *cmap*, *vmin*, *vmax*.
+            - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).
+            - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),
+              i.e. including transparency.
 
-        Create a :class:`~matplotlib.collections.PolyCollection`
-        filling the regions between *x1* and *x2* where
-        ``where==True``
+            The first two dimensions (M, N) define the rows and columns of
+            the image.
 
-          *y* :
-            An N-length array of the y data
+            Out-of-range RGB(A) values are clipped.
 
-          *x1* :
-            An N-length array (or scalar) of the x data
+        %(cmap_doc)s
 
-          *x2* :
-            An N-length array (or scalar) of the x data
+            This parameter is ignored if *X* is RGB(A).
 
-          *where* :
-             If *None*, default to fill between everywhere.  If not *None*,
-             it is a N length numpy boolean array and the fill will
-             only happen over the regions where ``where==True``
+        %(norm_doc)s
 
-          *kwargs* :
-            keyword args passed on to the
-            :class:`~matplotlib.collections.PolyCollection`
+            This parameter is ignored if *X* is RGB(A).
 
-        kwargs control the :class:`~matplotlib.patches.Polygon` properties:
+        %(vmin_vmax_doc)s
 
-        %(PolyCollection)s
+            This parameter is ignored if *X* is RGB(A).
 
-        .. plot:: mpl_examples/pylab_examples/fill_betweenx_demo.py
+        %(colorizer_doc)s
 
-        .. seealso::
+            This parameter is ignored if *X* is RGB(A).
 
-            :meth:`fill_between`
-                for filling between two sets of y-values
+        aspect : {'equal', 'auto'} or float or None, default: None
+            The aspect ratio of the Axes.  This parameter is particularly
+            relevant for images since it determines whether data pixels are
+            square.
 
-        """
-        # Handle united data, such as dates
-        self._process_unit_info(ydata=y, xdata=x1, kwargs=kwargs)
-        self._process_unit_info(xdata=x2)
+            This parameter is a shortcut for explicitly calling
+            `.Axes.set_aspect`. See there for further details.
 
-        # Convert the arrays so we can work with them
-        y = ma.masked_invalid(self.convert_yunits(y))
-        x1 = ma.masked_invalid(self.convert_xunits(x1))
-        x2 = ma.masked_invalid(self.convert_xunits(x2))
+            - 'equal': Ensures an aspect ratio of 1. Pixels will be square
+              (unless pixel sizes are explicitly made non-square in data
+              coordinates using *extent*).
+            - 'auto': The Axes is kept fixed and the aspect is adjusted so
+              that the data fit in the Axes. In general, this will result in
+              non-square pixels.
 
-        if x1.ndim == 0:
-            x1 = np.ones_like(y) * x1
-        if x2.ndim == 0:
-            x2 = np.ones_like(y) * x2
+            Normally, None (the default) means to use :rc:`image.aspect`.  However, if
+            the image uses a transform that does not contain the axes data transform,
+            then None means to not modify the axes aspect at all (in that case, directly
+            call `.Axes.set_aspect` if desired).
 
-        if where is None:
-            where = np.ones(len(y), np.bool)
-        else:
-            where = np.asarray(where, np.bool)
+        interpolation : str, default: :rc:`image.interpolation`
+            The interpolation method used.
 
-        if not (y.shape == x1.shape == x2.shape == where.shape):
-            raise ValueError("Argument dimensions are incompatible")
+            Supported values are 'none', 'auto', 'nearest', 'bilinear',
+            'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',
+            'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',
+            'sinc', 'lanczos', 'blackman'.
 
-        mask = reduce(ma.mask_or, [ma.getmask(a) for a in (y, x1, x2)])
-        if mask is not ma.nomask:
-            where &= ~mask
+            The data *X* is resampled to the pixel size of the image on the
+            figure canvas, using the interpolation method to either up- or
+            downsample the data.
 
-        polys = []
-        for ind0, ind1 in mlab.contiguous_regions(where):
-            yslice = y[ind0:ind1]
-            x1slice = x1[ind0:ind1]
-            x2slice = x2[ind0:ind1]
+            If *interpolation* is 'none', then for the ps, pdf, and svg
+            backends no down- or upsampling occurs, and the image data is
+            passed to the backend as a native image.  Note that different ps,
+            pdf, and svg viewers may display these raw pixels differently. On
+            other backends, 'none' is the same as 'nearest'.
 
-            if not len(yslice):
-                continue
+            If *interpolation* is the default 'auto', then 'nearest'
+            interpolation is used if the image is upsampled by more than a
+            factor of three (i.e. the number of display pixels is at least
+            three times the size of the data array).  If the upsampling rate is
+            smaller than 3, or the image is downsampled, then 'hanning'
+            interpolation is used to act as an anti-aliasing filter, unless the
+            image happens to be upsampled by exactly a factor of two or one.
 
-            N = len(yslice)
-            Y = np.zeros((2 * N + 2, 2), np.float)
+            See
+            :doc:`/gallery/images_contours_and_fields/interpolation_methods`
+            for an overview of the supported interpolation methods, and
+            :doc:`/gallery/images_contours_and_fields/image_antialiasing` for
+            a discussion of image antialiasing.
 
-            # the purpose of the next two lines is for when x2 is a
-            # scalar like 0 and we want the fill to go all the way
-            # down to 0 even if none of the x1 sample points do
-            Y[0] = x2slice[0], yslice[0]
-            Y[N + 1] = x2slice[-1], yslice[-1]
+            Some interpolation methods require an additional radius parameter,
+            which can be set by *filterrad*. Additionally, the antigrain image
+            resize filter is controlled by the parameter *filternorm*.
 
-            Y[1:N + 1, 0] = x1slice
-            Y[1:N + 1, 1] = yslice
-            Y[N + 2:, 0] = x2slice[::-1]
-            Y[N + 2:, 1] = yslice[::-1]
+        interpolation_stage : {'auto', 'data', 'rgba'}, default: 'auto'
+            Supported values:
 
-            polys.append(Y)
+            - 'data': Interpolation is carried out on the data provided by the user
+              This is useful if interpolating between pixels during upsampling.
+            - 'rgba': The interpolation is carried out in RGBA-space after the
+              color-mapping has been applied. This is useful if downsampling and
+              combining pixels visually.
+            - 'auto': Select a suitable interpolation stage automatically. This uses
+              'rgba' when downsampling, or upsampling at a rate less than 3, and
+              'data' when upsampling at a higher rate.
 
-        collection = mcoll.PolyCollection(polys, **kwargs)
+            See :doc:`/gallery/images_contours_and_fields/image_antialiasing` for
+            a discussion of image antialiasing.
 
-        # now update the datalim and autoscale
-        X1Y = np.array([x1[where], y[where]]).T
-        X2Y = np.array([x2[where], y[where]]).T
-        self.dataLim.update_from_data_xy(X1Y, self.ignore_existing_data_limits,
-                                         updatex=True, updatey=True)
-        self.ignore_existing_data_limits = False
-        self.dataLim.update_from_data_xy(X2Y, self.ignore_existing_data_limits,
-                                         updatex=True, updatey=False)
-        self.add_collection(collection, autolim=False)
-        self.autoscale_view()
-        return collection
+        alpha : float or array-like, optional
+            The alpha blending value, between 0 (transparent) and 1 (opaque).
+            If *alpha* is an array, the alpha blending values are applied pixel
+            by pixel, and *alpha* must have the same shape as *X*.
 
-    #### plotting z(x,y): imshow, pcolor and relatives, contour
+        origin : {'upper', 'lower'}, default: :rc:`image.origin`
+            Place the [0, 0] index of the array in the upper left or lower
+            left corner of the Axes. The convention (the default) 'upper' is
+            typically used for matrices and images.
 
-    @docstring.dedent_interpd
-    def imshow(self, X, cmap=None, norm=None, aspect=None,
-               interpolation=None, alpha=None, vmin=None, vmax=None,
-               origin=None, extent=None, shape=None, filternorm=1,
-               filterrad=4.0, imlim=None, resample=None, url=None, **kwargs):
-        """
-        Display an image on the axes.
+            Note that the vertical axis points upward for 'lower'
+            but downward for 'upper'.
 
-        Parameters
-        -----------
-        X : array_like, shape (n, m) or (n, m, 3) or (n, m, 4)
-            Display the image in `X` to current axes.  `X` may be a float
-            array, a uint8 array or a PIL image. If `X` is an array, it
-            can have the following shapes:
-
-            - MxN -- luminance (grayscale, float array only)
-            - MxNx3 -- RGB (float or uint8 array)
-            - MxNx4 -- RGBA (float or uint8 array)
-
-            The value for each component of MxNx3 and MxNx4 float arrays
-            should be in the range 0.0 to 1.0; MxN float arrays may be
-            normalised.
-
-        cmap : `~matplotlib.colors.Colormap`, optional, default: None
-            If None, default to rc `image.cmap` value. `cmap` is ignored when
-            `X` has RGB(A) information
-
-        aspect : ['auto' | 'equal' | scalar], optional, default: None
-            If 'auto', changes the image aspect ratio to match that of the
-            axes.
-
-            If 'equal', and `extent` is None, changes the axes aspect ratio to
-            match that of the image. If `extent` is not `None`, the axes
-            aspect ratio is changed to match that of the extent.
-
-            If None, default to rc ``image.aspect`` value.
-
-        interpolation : string, optional, default: None
-            Acceptable values are 'none', 'nearest', 'bilinear', 'bicubic',
-            'spline16', 'spline36', 'hanning', 'hamming', 'hermite', 'kaiser',
-            'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc',
-            'lanczos'
-
-            If `interpolation` is None, default to rc `image.interpolation`.
-            See also the `filternorm` and `filterrad` parameters.
-            If `interpolation` is 'none', then no interpolation is performed
-            on the Agg, ps and pdf backends. Other backends will fall back to
-            'nearest'.
-
-        norm : `~matplotlib.colors.Normalize`, optional, default: None
-            A `~matplotlib.colors.Normalize` instance is used to scale
-            luminance data to 0, 1. If `None`, use the default
-            func:`normalize`. `norm` is only used if `X` is an array of
-            floats.
-
-        vmin, vmax : scalar, optional, default: None
-            `vmin` and `vmax` are used in conjunction with norm to normalize
-            luminance data.  Note if you pass a `norm` instance, your
-            settings for `vmin` and `vmax` will be ignored.
-
-        alpha : scalar, optional, default: None
-            The alpha blending value, between 0 (transparent) and 1 (opaque)
-
-        origin : ['upper' | 'lower'], optional, default: None
-            Place the [0,0] index of the array in the upper left or lower left
-            corner of the axes. If None, default to rc `image.origin`.
-
-        extent : scalars (left, right, bottom, top), optional, default: None
-            The location, in data-coordinates, of the lower-left and
-            upper-right corners. If `None`, the image is positioned such that
-            the pixel centers fall on zero-based (row, column) indices.
-
-        shape : scalars (columns, rows), optional, default: None
-            For raw buffer images
-
-        filternorm : scalar, optional, default: 1
-            A parameter for the antigrain image resize filter.  From the
-            antigrain documentation, if `filternorm` = 1, the filter
+            See the :ref:`imshow_extent` tutorial for
+            examples and a more detailed description.
+
+        extent : floats (left, right, bottom, top), optional
+            The bounding box in data coordinates that the image will fill.
+            These values may be unitful and match the units of the Axes.
+            The image is stretched individually along x and y to fill the box.
+
+            The default extent is determined by the following conditions.
+            Pixels have unit size in data coordinates. Their centers are on
+            integer coordinates, and their center coordinates range from 0 to
+            columns-1 horizontally and from 0 to rows-1 vertically.
+
+            Note that the direction of the vertical axis and thus the default
+            values for top and bottom depend on *origin*:
+
+            - For ``origin == 'upper'`` the default is
+              ``(-0.5, numcols-0.5, numrows-0.5, -0.5)``.
+            - For ``origin == 'lower'`` the default is
+              ``(-0.5, numcols-0.5, -0.5, numrows-0.5)``.
+
+            See the :ref:`imshow_extent` tutorial for
+            examples and a more detailed description.
+
+        filternorm : bool, default: True
+            A parameter for the antigrain image resize filter (see the
+            antigrain documentation).  If *filternorm* is set, the filter
             normalizes integer values and corrects the rounding errors. It
             doesn't do anything with the source floating point values, it
             corrects only integers according to the rule of 1.0 which means
             that any sum of pixel weights must be equal to 1.0.  So, the
             filter function must produce a graph of the proper shape.
 
-        filterrad : scalar, optional, default: 4.0
+        filterrad : float > 0, default: 4.0
             The filter radius for filters that have a radius parameter, i.e.
-            when interpolation is one of: 'sinc', 'lanczos' or 'blackman'
+            when interpolation is one of: 'sinc', 'lanczos' or 'blackman'.
+
+        resample : bool, default: :rc:`image.resample`
+            When *True*, use a full resampling method.  When *False*, only
+            resample when the output image is larger than the input image.
+
+        url : str, optional
+            Set the url of the created `.AxesImage`. See `.Artist.set_url`.
 
         Returns
-        --------
-        image : `~matplotlib.image.AxesImage`
+        -------
+        `~matplotlib.image.AxesImage`
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : `~matplotlib.artist.Artist` properties.
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        See also
-        --------
-        matshow : Plot a matrix or an array as an image.
+        **kwargs : `~matplotlib.artist.Artist` properties
+            These parameters are passed on to the constructor of the
+            `.AxesImage` artist.
 
-        Examples
+        See Also
         --------
+        matshow : Plot a matrix or an array as an image.
 
-        .. plot:: mpl_examples/pylab_examples/image_demo.py
+        Notes
+        -----
+        Unless *extent* is used, pixel centers will be located at integer
+        coordinates. In other words: the origin will coincide with the center
+        of pixel (0, 0).
 
-        """
+        There are two common representations for RGB images with an alpha
+        channel:
 
-        if not self._hold:
-            self.cla()
+        -   Straight (unassociated) alpha: R, G, and B channels represent the
+            color of the pixel, disregarding its opacity.
+        -   Premultiplied (associated) alpha: R, G, and B channels represent
+            the color of the pixel, adjusted for its opacity by multiplication.
 
-        if norm is not None:
-            assert(isinstance(norm, mcolors.Normalize))
-        if aspect is None:
-            aspect = rcParams['image.aspect']
-        self.set_aspect(aspect)
-        im = mimage.AxesImage(self, cmap, norm, interpolation, origin, extent,
-                       filternorm=filternorm,
-                       filterrad=filterrad, resample=resample, **kwargs)
+        `~matplotlib.pyplot.imshow` expects RGB images adopting the straight
+        (unassociated) alpha representation.
+        """
+        im = mimage.AxesImage(self, cmap=cmap, norm=norm, colorizer=colorizer,
+                              interpolation=interpolation, origin=origin,
+                              extent=extent, filternorm=filternorm,
+                              filterrad=filterrad, resample=resample,
+                              interpolation_stage=interpolation_stage,
+                              **kwargs)
+
+        if aspect is None and not (
+                im.is_transform_set()
+                and not im.get_transform().contains_branch(self.transData)):
+            aspect = mpl.rcParams['image.aspect']
+        if aspect is not None:
+            self.set_aspect(aspect)
 
         im.set_data(X)
         im.set_alpha(alpha)
         if im.get_clip_path() is None:
-            # image does not already have clipping set, clip to axes patch
+            # image does not already have clipping set, clip to Axes patch
             im.set_clip_path(self.patch)
-        #if norm is None and shape is None:
-        #    im.set_clim(vmin, vmax)
-        if vmin is not None or vmax is not None:
-            im.set_clim(vmin, vmax)
-        else:
-            im.autoscale_None()
+        im._check_exclusionary_keywords(colorizer, vmin=vmin, vmax=vmax)
+        im._scale_norm(norm, vmin, vmax)
         im.set_url(url)
 
         # update ax.dataLim, and, if autoscaling, set viewLim
@@ -4677,583 +6263,671 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
         self.add_image(im)
         return im
 
-    @staticmethod
-    def _pcolorargs(funcname, *args, **kw):
-        # This takes one kwarg, allmatch.
-        # If allmatch is True, then the incoming X, Y, C must
-        # have matching dimensions, taking into account that
-        # X and Y can be 1-D rather than 2-D.  This perfect
-        # match is required for Gouroud shading.  For flat
-        # shading, X and Y specify boundaries, so we need
-        # one more boundary than color in each direction.
-        # For convenience, and consistent with Matlab, we
-        # discard the last row and/or column of C if necessary
-        # to meet this condition.  This is done if allmatch
-        # is False.
-
-        allmatch = kw.pop("allmatch", False)
+    def _pcolorargs(self, funcname, *args, shading='auto', **kwargs):
+        # - create X and Y if not present;
+        # - reshape X and Y as needed if they are 1-D;
+        # - check for proper sizes based on `shading` kwarg;
+        # - reset shading if shading='auto' to flat or nearest
+        #   depending on size;
+
+        _valid_shading = ['gouraud', 'nearest', 'flat', 'auto']
+        try:
+            _api.check_in_list(_valid_shading, shading=shading)
+        except ValueError:
+            _api.warn_external(f"shading value '{shading}' not in list of "
+                               f"valid values {_valid_shading}. Setting "
+                               "shading='auto'.")
+            shading = 'auto'
 
         if len(args) == 1:
-            C = args[0]
-            numRows, numCols = C.shape
-            if allmatch:
-                X, Y = np.meshgrid(np.arange(numCols), np.arange(numRows))
+            C = np.asanyarray(args[0])
+            nrows, ncols = C.shape[:2]
+            if shading in ['gouraud', 'nearest']:
+                X, Y = np.meshgrid(np.arange(ncols), np.arange(nrows))
             else:
-                X, Y = np.meshgrid(np.arange(numCols + 1),
-                                   np.arange(numRows + 1))
-            return X, Y, C
-
-        if len(args) == 3:
-            X, Y, C = args
-            numRows, numCols = C.shape
+                X, Y = np.meshgrid(np.arange(ncols + 1), np.arange(nrows + 1))
+                shading = 'flat'
+        elif len(args) == 3:
+            # Check x and y for bad data...
+            C = np.asanyarray(args[2])
+            # unit conversion allows e.g. datetime objects as axis values
+            X, Y = args[:2]
+            X, Y = self._process_unit_info([("x", X), ("y", Y)], kwargs)
+            X, Y = (cbook.safe_masked_invalid(a, copy=True) for a in [X, Y])
+
+            if funcname == 'pcolormesh':
+                if np.ma.is_masked(X) or np.ma.is_masked(Y):
+                    raise ValueError(
+                        'x and y arguments to pcolormesh cannot have '
+                        'non-finite values or be of type '
+                        'numpy.ma.MaskedArray with masked values')
+            nrows, ncols = C.shape[:2]
         else:
-            raise TypeError(
-                'Illegal arguments to %s; see help(%s)' % (funcname, funcname))
+            raise _api.nargs_error(funcname, takes="1 or 3", given=len(args))
 
         Nx = X.shape[-1]
         Ny = Y.shape[0]
-        if len(X.shape) != 2 or X.shape[0] == 1:
+        if X.ndim != 2 or X.shape[0] == 1:
             x = X.reshape(1, Nx)
             X = x.repeat(Ny, axis=0)
-        if len(Y.shape) != 2 or Y.shape[1] == 1:
+        if Y.ndim != 2 or Y.shape[1] == 1:
             y = Y.reshape(Ny, 1)
             Y = y.repeat(Nx, axis=1)
         if X.shape != Y.shape:
-            raise TypeError(
-                'Incompatible X, Y inputs to %s; see help(%s)' % (
-                funcname, funcname))
-        if allmatch:
-            if not (Nx == numCols and Ny == numRows):
-                raise TypeError('Dimensions of C %s are incompatible with'
-                                ' X (%d) and/or Y (%d); see help(%s)' % (
-                                    C.shape, Nx, Ny, funcname))
-        else:
-            if not (numCols in (Nx, Nx - 1) and numRows in (Ny, Ny - 1)):
+            raise TypeError(f'Incompatible X, Y inputs to {funcname}; '
+                            f'see help({funcname})')
+
+        if shading == 'auto':
+            if ncols == Nx and nrows == Ny:
+                shading = 'nearest'
+            else:
+                shading = 'flat'
+
+        if shading == 'flat':
+            if (Nx, Ny) != (ncols + 1, nrows + 1):
+                raise TypeError(f"Dimensions of C {C.shape} should"
+                                f" be one smaller than X({Nx}) and Y({Ny})"
+                                f" while using shading='flat'"
+                                f" see help({funcname})")
+        else:    # ['nearest', 'gouraud']:
+            if (Nx, Ny) != (ncols, nrows):
                 raise TypeError('Dimensions of C %s are incompatible with'
                                 ' X (%d) and/or Y (%d); see help(%s)' % (
                                     C.shape, Nx, Ny, funcname))
-            C = C[:Ny - 1, :Nx - 1]
-        return X, Y, C
-
-    @docstring.dedent_interpd
-    def pcolor(self, *args, **kwargs):
-        """
-        Create a pseudocolor plot of a 2-D array.
-
-        .. note::
-
-            pcolor can be very slow for large arrays; consider
-            using the similar but much faster
-            :func:`~matplotlib.pyplot.pcolormesh` instead.
-
-        Call signatures::
-
-          pcolor(C, **kwargs)
-          pcolor(X, Y, C, **kwargs)
-
-        *C* is the array of color values.
-
-        *X* and *Y*, if given, specify the (*x*, *y*) coordinates of
-        the colored quadrilaterals; the quadrilateral for C[i,j] has
-        corners at::
-
-          (X[i,   j],   Y[i,   j]),
-          (X[i,   j+1], Y[i,   j+1]),
-          (X[i+1, j],   Y[i+1, j]),
-          (X[i+1, j+1], Y[i+1, j+1]).
+            if shading == 'nearest':
+                # grid is specified at the center, so define corners
+                # at the midpoints between the grid centers and then use the
+                # flat algorithm.
+                def _interp_grid(X, require_monotonicity=False):
+                    # helper for below. To ensure the cell edges are calculated
+                    # correctly, when expanding columns, the monotonicity of
+                    # X coords needs to be checked. When expanding rows, the
+                    # monotonicity of Y coords needs to be checked.
+                    if np.shape(X)[1] > 1:
+                        dX = np.diff(X, axis=1) * 0.5
+                        if (require_monotonicity and
+                                not (np.all(dX >= 0) or np.all(dX <= 0))):
+                            _api.warn_external(
+                                f"The input coordinates to {funcname} are "
+                                "interpreted as cell centers, but are not "
+                                "monotonically increasing or decreasing. "
+                                "This may lead to incorrectly calculated cell "
+                                "edges, in which case, please supply "
+                                f"explicit cell edges to {funcname}.")
+
+                        hstack = np.ma.hstack if np.ma.isMA(X) else np.hstack
+                        X = hstack((X[:, [0]] - dX[:, [0]],
+                                    X[:, :-1] + dX,
+                                    X[:, [-1]] + dX[:, [-1]]))
+                    else:
+                        # This is just degenerate, but we can't reliably guess
+                        # a dX if there is just one value.
+                        X = np.hstack((X, X))
+                    return X
+
+                if ncols == Nx:
+                    X = _interp_grid(X, require_monotonicity=True)
+                    Y = _interp_grid(Y)
+                if nrows == Ny:
+                    X = _interp_grid(X.T).T
+                    Y = _interp_grid(Y.T, require_monotonicity=True).T
+                shading = 'flat'
+
+        C = cbook.safe_masked_invalid(C, copy=True)
+        return X, Y, C, shading
+
+    @_preprocess_data()
+    @_docstring.interpd
+    def pcolor(self, *args, shading=None, alpha=None, norm=None, cmap=None,
+               vmin=None, vmax=None, colorizer=None, **kwargs):
+        r"""
+        Create a pseudocolor plot with a non-regular rectangular grid.
 
-        Ideally the dimensions of *X* and *Y* should be one greater
-        than those of *C*; if the dimensions are the same, then the
-        last row and column of *C* will be ignored.
+        Call signature::
 
-        Note that the the column index corresponds to the
-        *x*-coordinate, and the row index corresponds to *y*; for
-        details, see the :ref:`Grid Orientation
-        <axes-pcolor-grid-orientation>` section below.
+            pcolor([X, Y,] C, /, **kwargs)
 
-        If either or both of *X* and *Y* are 1-D arrays or column vectors,
-        they will be expanded as needed into the appropriate 2-D arrays,
-        making a rectangular grid.
+        *X* and *Y* can be used to specify the corners of the quadrilaterals.
 
-        *X*, *Y* and *C* may be masked arrays.  If either C[i, j], or one
-        of the vertices surrounding C[i,j] (*X* or *Y* at [i, j], [i+1, j],
-        [i, j+1],[i+1, j+1]) is masked, nothing is plotted.
+        The arguments *X*, *Y*, *C* are positional-only.
 
-        Keyword arguments:
+        .. hint::
 
-          *cmap*: [ *None* | Colormap ]
-            A :class:`matplotlib.colors.Colormap` instance. If *None*, use
-            rc settings.
+            ``pcolor()`` can be very slow for large arrays. In most
+            cases you should use the similar but much faster
+            `~.Axes.pcolormesh` instead. See
+            :ref:`Differences between pcolor() and pcolormesh()
+            <differences-pcolor-pcolormesh>` for a discussion of the
+            differences.
 
-          *norm*: [ *None* | Normalize ]
-            An :class:`matplotlib.colors.Normalize` instance is used
-            to scale luminance data to 0,1. If *None*, defaults to
-            :func:`normalize`.
+        Parameters
+        ----------
+        C : 2D array-like
+            The color-mapped values.  Color-mapping is controlled by *cmap*,
+            *norm*, *vmin*, and *vmax*.
 
-          *vmin*/*vmax*: [ *None* | scalar ]
-            *vmin* and *vmax* are used in conjunction with *norm* to
-            normalize luminance data.  If either is *None*, it
-            is autoscaled to the respective min or max
-            of the color array *C*.  If not *None*, *vmin* or
-            *vmax* passed in here override any pre-existing values
-            supplied in the *norm* instance.
+        X, Y : array-like, optional
+            The coordinates of the corners of quadrilaterals of a pcolormesh::
 
-          *shading*: [ 'flat' | 'faceted' ]
-            If 'faceted', a black grid is drawn around each rectangle; if
-            'flat', edges are not drawn. Default is 'flat', contrary to
-            MATLAB.
+                (X[i+1, j], Y[i+1, j])       (X[i+1, j+1], Y[i+1, j+1])
+                                      �╶───╴�
+                                      │     │
+                                      �╶───╴�
+                    (X[i, j], Y[i, j])       (X[i, j+1], Y[i, j+1])
 
-            This kwarg is deprecated; please use 'edgecolors' instead:
-              * shading='flat' -- edgecolors='none'
-              * shading='faceted  -- edgecolors='k'
+            Note that the column index corresponds to the x-coordinate, and
+            the row index corresponds to y. For details, see the
+            :ref:`Notes <axes-pcolormesh-grid-orientation>` section below.
 
-          *edgecolors*: [ *None* | ``'none'`` | color | color sequence]
-            If *None*, the rc setting is used by default.
+            If ``shading='flat'`` the dimensions of *X* and *Y* should be one
+            greater than those of *C*, and the quadrilateral is colored due
+            to the value at ``C[i, j]``.  If *X*, *Y* and *C* have equal
+            dimensions, a warning will be raised and the last row and column
+            of *C* will be ignored.
 
-            If ``'none'``, edges will not be visible.
+            If ``shading='nearest'``, the dimensions of *X* and *Y* should be
+            the same as those of *C* (if not, a ValueError will be raised). The
+            color ``C[i, j]`` will be centered on ``(X[i, j], Y[i, j])``.
 
-            An mpl color or sequence of colors will set the edge color
+            If *X* and/or *Y* are 1-D arrays or column vectors they will be
+            expanded as needed into the appropriate 2D arrays, making a
+            rectangular grid.
 
-          *alpha*: ``0 <= scalar <= 1``   or *None*
-            the alpha blending value
+        shading : {'flat', 'nearest', 'auto'}, default: :rc:`pcolor.shading`
+            The fill style for the quadrilateral. Possible values:
 
-          *snap*: bool
-            Whether to snap the mesh to pixel boundaries.
+            - 'flat': A solid color is used for each quad. The color of the
+              quad (i, j), (i+1, j), (i, j+1), (i+1, j+1) is given by
+              ``C[i, j]``. The dimensions of *X* and *Y* should be
+              one greater than those of *C*; if they are the same as *C*,
+              then a deprecation warning is raised, and the last row
+              and column of *C* are dropped.
+            - 'nearest': Each grid point will have a color centered on it,
+              extending halfway between the adjacent grid centers.  The
+              dimensions of *X* and *Y* must be the same as *C*.
+            - 'auto': Choose 'flat' if dimensions of *X* and *Y* are one
+              larger than *C*.  Choose 'nearest' if dimensions are the same.
 
-        Return value is a :class:`matplotlib.collections.Collection`
-        instance.
+            See :doc:`/gallery/images_contours_and_fields/pcolormesh_grids`
+            for more description.
 
-        .. _axes-pcolor-grid-orientation:
+        %(cmap_doc)s
 
-        The grid orientation follows the MATLAB convention: an
-        array *C* with shape (*nrows*, *ncolumns*) is plotted with
-        the column number as *X* and the row number as *Y*, increasing
-        up; hence it is plotted the way the array would be printed,
-        except that the *Y* axis is reversed.  That is, *C* is taken
-        as *C*(*y*, *x*).
+        %(norm_doc)s
 
-        Similarly for :func:`meshgrid`::
+        %(vmin_vmax_doc)s
 
-          x = np.arange(5)
-          y = np.arange(3)
-          X, Y = np.meshgrid(x, y)
+        %(colorizer_doc)s
 
-        is equivalent to::
+        edgecolors : {'none', None, 'face', color, color sequence}, optional
+            The color of the edges. Defaults to 'none'. Possible values:
 
-          X = array([[0, 1, 2, 3, 4],
-                     [0, 1, 2, 3, 4],
-                     [0, 1, 2, 3, 4]])
+            - 'none' or '': No edge.
+            - *None*: :rc:`patch.edgecolor` will be used. Note that currently
+              :rc:`patch.force_edgecolor` has to be True for this to work.
+            - 'face': Use the adjacent face color.
+            - A color or sequence of colors will set the edge color.
 
-          Y = array([[0, 0, 0, 0, 0],
-                     [1, 1, 1, 1, 1],
-                     [2, 2, 2, 2, 2]])
+            The singular form *edgecolor* works as an alias.
 
-        so if you have::
+        alpha : float, default: None
+            The alpha blending value of the face color, between 0 (transparent)
+            and 1 (opaque). Note: The edgecolor is currently not affected by
+            this.
 
-          C = rand(len(x), len(y))
+        snap : bool, default: False
+            Whether to snap the mesh to pixel boundaries.
 
-        then you need to transpose C::
+        Returns
+        -------
+        `matplotlib.collections.PolyQuadMesh`
 
-          pcolor(X, Y, C.T)
+        Other Parameters
+        ----------------
+        antialiaseds : bool, default: False
+            The default *antialiaseds* is False if the default
+            *edgecolors*\ ="none" is used.  This eliminates artificial lines
+            at patch boundaries, and works regardless of the value of alpha.
+            If *edgecolors* is not "none", then the default *antialiaseds*
+            is taken from :rc:`patch.antialiased`.
+            Stroking the edges may be preferred if *alpha* is 1, but will
+            cause artifacts otherwise.
 
-        or::
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-          pcolor(C.T)
+        **kwargs
+            Additionally, the following arguments are allowed. They are passed
+            along to the `~matplotlib.collections.PolyQuadMesh` constructor:
 
-        MATLAB :func:`pcolor` always discards the last row and column
-        of *C*, but matplotlib displays the last row and column if *X* and
-        *Y* are not specified, or if *X* and *Y* have one more row and
-        column than *C*.
+        %(PolyCollection:kwdoc)s
 
-        kwargs can be used to control the
-        :class:`~matplotlib.collections.PolyCollection` properties:
+        See Also
+        --------
+        pcolormesh : for an explanation of the differences between
+            pcolor and pcolormesh.
+        imshow : If *X* and *Y* are each equidistant, `~.Axes.imshow` can be a
+            faster alternative.
 
-        %(PolyCollection)s
+        Notes
+        -----
+        **Masked arrays**
 
-        .. note::
+        *X*, *Y* and *C* may be masked arrays. If either ``C[i, j]``, or one
+        of the vertices surrounding ``C[i, j]`` (*X* or *Y* at
+        ``[i, j], [i+1, j], [i, j+1], [i+1, j+1]``) is masked, nothing is
+        plotted.
 
-            The default *antialiaseds* is False if the default
-            *edgecolors*="none" is used.  This eliminates artificial lines
-            at patch boundaries, and works regardless of the value of
-            alpha.  If *edgecolors* is not "none", then the default
-            *antialiaseds* is taken from
-            rcParams['patch.antialiased'], which defaults to *True*.
-            Stroking the edges may be preferred if *alpha* is 1, but
-            will cause artifacts otherwise.
+        .. _axes-pcolor-grid-orientation:
 
-        .. seealso::
+        **Grid orientation**
 
-            :func:`~matplotlib.pyplot.pcolormesh`
-                For an explanation of the differences between
-                pcolor and pcolormesh.
-        """
-
-        if not self._hold:
-            self.cla()
-
-        alpha = kwargs.pop('alpha', None)
-        norm = kwargs.pop('norm', None)
-        cmap = kwargs.pop('cmap', None)
-        vmin = kwargs.pop('vmin', None)
-        vmax = kwargs.pop('vmax', None)
-        if 'shading' in kwargs:
-            cbook.warn_deprecated(
-                '1.2', name='shading', alternative='edgecolors',
-                obj_type='option')
-        shading = kwargs.pop('shading', 'flat')
-
-        X, Y, C = self._pcolorargs('pcolor', *args, allmatch=False)
-        Ny, Nx = X.shape
-
-        # unit conversion allows e.g. datetime objects as axis values
-        self._process_unit_info(xdata=X, ydata=Y, kwargs=kwargs)
-        X = self.convert_xunits(X)
-        Y = self.convert_yunits(Y)
-
-        # convert to MA, if necessary.
-        C = ma.asarray(C)
-        X = ma.asarray(X)
-        Y = ma.asarray(Y)
-
-        mask = ma.getmaskarray(X) + ma.getmaskarray(Y)
-        xymask = (mask[0:-1, 0:-1] + mask[1:, 1:] +
-                  mask[0:-1, 1:] + mask[1:, 0:-1])
-        # don't plot if C or any of the surrounding vertices are masked.
-        mask = ma.getmaskarray(C) + xymask
-
-        newaxis = np.newaxis
-        compress = np.compress
-
-        ravelmask = (mask == 0).ravel()
-        X1 = compress(ravelmask, ma.filled(X[0:-1, 0:-1]).ravel())
-        Y1 = compress(ravelmask, ma.filled(Y[0:-1, 0:-1]).ravel())
-        X2 = compress(ravelmask, ma.filled(X[1:, 0:-1]).ravel())
-        Y2 = compress(ravelmask, ma.filled(Y[1:, 0:-1]).ravel())
-        X3 = compress(ravelmask, ma.filled(X[1:, 1:]).ravel())
-        Y3 = compress(ravelmask, ma.filled(Y[1:, 1:]).ravel())
-        X4 = compress(ravelmask, ma.filled(X[0:-1, 1:]).ravel())
-        Y4 = compress(ravelmask, ma.filled(Y[0:-1, 1:]).ravel())
-        npoly = len(X1)
-
-        xy = np.concatenate((X1[:, newaxis], Y1[:, newaxis],
-                             X2[:, newaxis], Y2[:, newaxis],
-                             X3[:, newaxis], Y3[:, newaxis],
-                             X4[:, newaxis], Y4[:, newaxis],
-                             X1[:, newaxis], Y1[:, newaxis]),
-                             axis=1)
-        verts = xy.reshape((npoly, 5, 2))
-
-        C = compress(ravelmask, ma.filled(C[0:Ny - 1, 0:Nx - 1]).ravel())
+        The grid orientation follows the standard matrix convention: An array
+        *C* with shape (nrows, ncolumns) is plotted with the column number as
+        *X* and the row number as *Y*.
+        """
 
+        if shading is None:
+            shading = mpl.rcParams['pcolor.shading']
+        shading = shading.lower()
+        X, Y, C, shading = self._pcolorargs('pcolor', *args, shading=shading,
+                                            kwargs=kwargs)
         linewidths = (0.25,)
         if 'linewidth' in kwargs:
             kwargs['linewidths'] = kwargs.pop('linewidth')
         kwargs.setdefault('linewidths', linewidths)
 
-        if shading == 'faceted':
-            edgecolors = 'k',
-        else:
-            edgecolors = 'none'
-
         if 'edgecolor' in kwargs:
             kwargs['edgecolors'] = kwargs.pop('edgecolor')
-        ec = kwargs.setdefault('edgecolors', edgecolors)
+        ec = kwargs.setdefault('edgecolors', 'none')
 
         # aa setting will default via collections to patch.antialiased
         # unless the boundary is not stroked, in which case the
         # default will be False; with unstroked boundaries, aa
         # makes artifacts that are often disturbing.
-        if 'antialiased' in kwargs:
-            kwargs['antialiaseds'] = kwargs.pop('antialiased')
-        if 'antialiaseds' not in kwargs and (is_string_like(ec) and
-                ec.lower() == "none"):
-            kwargs['antialiaseds'] = False
+        if 'antialiaseds' in kwargs:
+            kwargs['antialiased'] = kwargs.pop('antialiaseds')
+        if 'antialiased' not in kwargs and cbook._str_lower_equal(ec, "none"):
+            kwargs['antialiased'] = False
 
         kwargs.setdefault('snap', False)
 
-        collection = mcoll.PolyCollection(verts, **kwargs)
-
-        collection.set_alpha(alpha)
-        collection.set_array(C)
-        if norm is not None:
-            assert(isinstance(norm, mcolors.Normalize))
-        collection.set_cmap(cmap)
-        collection.set_norm(norm)
-        collection.set_clim(vmin, vmax)
-        collection.autoscale_None()
-        self.grid(False)
-
-        x = X.compressed()
-        y = Y.compressed()
-
-        # Transform from native to data coordinates?
-        t = collection._transform
-        if (not isinstance(t, mtransforms.Transform)
-            and hasattr(t, '_as_mpl_transform')):
-            t = t._as_mpl_transform(self.axes)
-
-        if t and any(t.contains_branch_seperately(self.transData)):
-            trans_to_data = t - self.transData
-            pts = np.vstack([x, y]).T.astype(np.float)
-            transformed_pts = trans_to_data.transform(pts)
-            x = transformed_pts[..., 0]
-            y = transformed_pts[..., 1]
-
-        minx = np.amin(x)
-        maxx = np.amax(x)
-        miny = np.amin(y)
-        maxy = np.amax(y)
-
-        corners = (minx, miny), (maxx, maxy)
-        self.update_datalim(corners)
-        self.autoscale_view()
-        self.add_collection(collection, autolim=False)
+        if np.ma.isMaskedArray(X) or np.ma.isMaskedArray(Y):
+            stack = np.ma.stack
+            X = np.ma.asarray(X)
+            Y = np.ma.asarray(Y)
+            # For bounds collections later
+            x = X.compressed()
+            y = Y.compressed()
+        else:
+            stack = np.stack
+            x = X
+            y = Y
+        coords = stack([X, Y], axis=-1)
+
+        collection = mcoll.PolyQuadMesh(
+            coords, array=C, cmap=cmap, norm=norm, colorizer=colorizer,
+            alpha=alpha, **kwargs)
+        collection._check_exclusionary_keywords(colorizer, vmin=vmin, vmax=vmax)
+        collection._scale_norm(norm, vmin, vmax)
+
+        coords = coords.reshape(-1, 2)  # flatten the grid structure; keep x, y
+        self._update_pcolor_lims(collection, coords)
         return collection
 
-    @docstring.dedent_interpd
-    def pcolormesh(self, *args, **kwargs):
+    @_preprocess_data()
+    @_docstring.interpd
+    def pcolormesh(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
+                   vmax=None, colorizer=None, shading=None, antialiased=False,
+                   **kwargs):
         """
-        Plot a quadrilateral mesh.
+        Create a pseudocolor plot with a non-regular rectangular grid.
 
-        Call signatures::
+        Call signature::
 
-          pcolormesh(C)
-          pcolormesh(X, Y, C)
-          pcolormesh(C, **kwargs)
+            pcolormesh([X, Y,] C, /, **kwargs)
 
-        Create a pseudocolor plot of a 2-D array.
+        *X* and *Y* can be used to specify the corners of the quadrilaterals.
 
-        pcolormesh is similar to :func:`~matplotlib.pyplot.pcolor`,
-        but uses a different mechanism and returns a different
-        object; pcolor returns a
-        :class:`~matplotlib.collections.PolyCollection` but pcolormesh
-        returns a
-        :class:`~matplotlib.collections.QuadMesh`.  It is much faster,
-        so it is almost always preferred for large arrays.
+        The arguments *X*, *Y*, *C* are positional-only.
 
-        *C* may be a masked array, but *X* and *Y* may not.  Masked
-        array support is implemented via *cmap* and *norm*; in
-        contrast, :func:`~matplotlib.pyplot.pcolor` simply does not
-        draw quadrilaterals with masked colors or vertices.
+        .. hint::
 
-        Keyword arguments:
+           `~.Axes.pcolormesh` is similar to `~.Axes.pcolor`. It is much faster
+           and preferred in most cases. For a detailed discussion on the
+           differences see :ref:`Differences between pcolor() and pcolormesh()
+           <differences-pcolor-pcolormesh>`.
 
-          *cmap*: [ *None* | Colormap ]
-            A :class:`matplotlib.colors.Colormap` instance. If *None*, use
-            rc settings.
+        Parameters
+        ----------
+        C : array-like
+            The mesh data. Supported array shapes are:
+
+            - (M, N) or M*N: a mesh with scalar data. The values are mapped to
+              colors using normalization and a colormap. See parameters *norm*,
+              *cmap*, *vmin*, *vmax*.
+            - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).
+            - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),
+              i.e. including transparency.
+
+            The first two dimensions (M, N) define the rows and columns of
+            the mesh data.
+
+        X, Y : array-like, optional
+            The coordinates of the corners of quadrilaterals of a pcolormesh::
+
+                (X[i+1, j], Y[i+1, j])       (X[i+1, j+1], Y[i+1, j+1])
+                                      �╶───╴�
+                                      │     │
+                                      �╶───╴�
+                    (X[i, j], Y[i, j])       (X[i, j+1], Y[i, j+1])
+
+            Note that the column index corresponds to the x-coordinate, and
+            the row index corresponds to y. For details, see the
+            :ref:`Notes <axes-pcolormesh-grid-orientation>` section below.
+
+            If ``shading='flat'`` the dimensions of *X* and *Y* should be one
+            greater than those of *C*, and the quadrilateral is colored due
+            to the value at ``C[i, j]``.  If *X*, *Y* and *C* have equal
+            dimensions, a warning will be raised and the last row and column
+            of *C* will be ignored.
+
+            If ``shading='nearest'`` or ``'gouraud'``, the dimensions of *X*
+            and *Y* should be the same as those of *C* (if not, a ValueError
+            will be raised).  For ``'nearest'`` the color ``C[i, j]`` is
+            centered on ``(X[i, j], Y[i, j])``.  For ``'gouraud'``, a smooth
+            interpolation is carried out between the quadrilateral corners.
+
+            If *X* and/or *Y* are 1-D arrays or column vectors they will be
+            expanded as needed into the appropriate 2D arrays, making a
+            rectangular grid.
+
+        %(cmap_doc)s
+
+        %(norm_doc)s
+
+        %(vmin_vmax_doc)s
+
+        %(colorizer_doc)s
+
+        edgecolors : {'none', None, 'face', color, color sequence}, optional
+            The color of the edges. Defaults to 'none'. Possible values:
+
+            - 'none' or '': No edge.
+            - *None*: :rc:`patch.edgecolor` will be used. Note that currently
+              :rc:`patch.force_edgecolor` has to be True for this to work.
+            - 'face': Use the adjacent face color.
+            - A color or sequence of colors will set the edge color.
+
+            The singular form *edgecolor* works as an alias.
+
+        alpha : float, default: None
+            The alpha blending value, between 0 (transparent) and 1 (opaque).
+
+        shading : {'flat', 'nearest', 'gouraud', 'auto'}, optional
+            The fill style for the quadrilateral; defaults to
+            :rc:`pcolor.shading`. Possible values:
+
+            - 'flat': A solid color is used for each quad. The color of the
+              quad (i, j), (i+1, j), (i, j+1), (i+1, j+1) is given by
+              ``C[i, j]``. The dimensions of *X* and *Y* should be
+              one greater than those of *C*; if they are the same as *C*,
+              then a deprecation warning is raised, and the last row
+              and column of *C* are dropped.
+            - 'nearest': Each grid point will have a color centered on it,
+              extending halfway between the adjacent grid centers.  The
+              dimensions of *X* and *Y* must be the same as *C*.
+            - 'gouraud': Each quad will be Gouraud shaded: The color of the
+              corners (i', j') are given by ``C[i', j']``. The color values of
+              the area in between is interpolated from the corner values.
+              The dimensions of *X* and *Y* must be the same as *C*. When
+              Gouraud shading is used, *edgecolors* is ignored.
+            - 'auto': Choose 'flat' if dimensions of *X* and *Y* are one
+              larger than *C*.  Choose 'nearest' if dimensions are the same.
+
+            See :doc:`/gallery/images_contours_and_fields/pcolormesh_grids`
+            for more description.
+
+        snap : bool, default: False
+            Whether to snap the mesh to pixel boundaries.
 
-          *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` instance is used to
-            scale luminance data to 0,1. If *None*, defaults to
-            :func:`normalize`.
+        rasterized : bool, optional
+            Rasterize the pcolormesh when drawing vector graphics.  This can
+            speed up rendering and produce smaller files for large data sets.
+            See also :doc:`/gallery/misc/rasterization_demo`.
 
-          *vmin*/*vmax*: [ *None* | scalar ]
-            *vmin* and *vmax* are used in conjunction with *norm* to
-            normalize luminance data.  If either is *None*, it
-            is autoscaled to the respective min or max
-            of the color array *C*.  If not *None*, *vmin* or
-            *vmax* passed in here override any pre-existing values
-            supplied in the *norm* instance.
+        Returns
+        -------
+        `matplotlib.collections.QuadMesh`
 
-          *shading*: [ 'flat' | 'gouraud' ]
-            'flat' indicates a solid color for each quad.  When
-            'gouraud', each quad will be Gouraud shaded.  When gouraud
-            shading, edgecolors is ignored.
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-          *edgecolors*: [*None* | ``'None'`` | ``'face'`` | color |
-                         color sequence]
+        **kwargs
+            Additionally, the following arguments are allowed. They are passed
+            along to the `~matplotlib.collections.QuadMesh` constructor:
 
-            If *None*, the rc setting is used by default.
+        %(QuadMesh:kwdoc)s
 
-            If ``'None'``, edges will not be visible.
+        See Also
+        --------
+        pcolor : An alternative implementation with slightly different
+            features. For a detailed discussion on the differences see
+            :ref:`Differences between pcolor() and pcolormesh()
+            <differences-pcolor-pcolormesh>`.
+        imshow : If *X* and *Y* are each equidistant, `~.Axes.imshow` can be a
+            faster alternative.
 
-            If ``'face'``, edges will have the same color as the faces.
+        Notes
+        -----
+        **Masked arrays**
 
-            An mpl color or sequence of colors will set the edge color
+        *C* may be a masked array. If ``C[i, j]`` is masked, the corresponding
+        quadrilateral will be transparent. Masking of *X* and *Y* is not
+        supported. Use `~.Axes.pcolor` if you need this functionality.
 
-          *alpha*: ``0 <= scalar <= 1``  or *None*
-            the alpha blending value
+        .. _axes-pcolormesh-grid-orientation:
 
-        Return value is a :class:`matplotlib.collections.QuadMesh`
-        object.
+        **Grid orientation**
 
-        kwargs can be used to control the
-        :class:`matplotlib.collections.QuadMesh` properties:
+        The grid orientation follows the standard matrix convention: An array
+        *C* with shape (nrows, ncolumns) is plotted with the column number as
+        *X* and the row number as *Y*.
 
-        %(QuadMesh)s
+        .. _differences-pcolor-pcolormesh:
 
-        .. seealso::
+        **Differences between pcolor() and pcolormesh()**
 
-            :func:`~matplotlib.pyplot.pcolor`
-                For an explanation of the grid orientation and the
-                expansion of 1-D *X* and/or *Y* to 2-D arrays.
-        """
-        if not self._hold:
-            self.cla()
+        Both methods are used to create a pseudocolor plot of a 2D array
+        using quadrilaterals.
 
-        alpha = kwargs.pop('alpha', None)
-        norm = kwargs.pop('norm', None)
-        cmap = kwargs.pop('cmap', None)
-        vmin = kwargs.pop('vmin', None)
-        vmax = kwargs.pop('vmax', None)
-        shading = kwargs.pop('shading', 'flat').lower()
-        antialiased = kwargs.pop('antialiased', False)
-        kwargs.setdefault('edgecolors', 'None')
+        The main difference lies in the created object and internal data
+        handling:
+        While `~.Axes.pcolor` returns a `.PolyQuadMesh`, `~.Axes.pcolormesh`
+        returns a `.QuadMesh`. The latter is more specialized for the given
+        purpose and thus is faster. It should almost always be preferred.
 
-        allmatch = (shading == 'gouraud')
+        There is also a slight difference in the handling of masked arrays.
+        Both `~.Axes.pcolor` and `~.Axes.pcolormesh` support masked arrays
+        for *C*. However, only `~.Axes.pcolor` supports masked arrays for *X*
+        and *Y*. The reason lies in the internal handling of the masked values.
+        `~.Axes.pcolor` leaves out the respective polygons from the
+        PolyQuadMesh. `~.Axes.pcolormesh` sets the facecolor of the masked
+        elements to transparent. You can see the difference when using
+        edgecolors. While all edges are drawn irrespective of masking in a
+        QuadMesh, the edge between two adjacent masked quadrilaterals in
+        `~.Axes.pcolor` is not drawn as the corresponding polygons do not
+        exist in the PolyQuadMesh. Because PolyQuadMesh draws each individual
+        polygon, it also supports applying hatches and linestyles to the collection.
 
-        X, Y, C = self._pcolorargs('pcolormesh', *args, allmatch=allmatch)
-        Ny, Nx = X.shape
+        Another difference is the support of Gouraud shading in
+        `~.Axes.pcolormesh`, which is not available with `~.Axes.pcolor`.
 
-        # convert to one dimensional arrays
-        C = C.ravel()
-        X = X.ravel()
-        Y = Y.ravel()
+        """
+        shading = mpl._val_or_rc(shading, 'pcolor.shading').lower()
+        kwargs.setdefault('edgecolors', 'none')
 
-        # unit conversion allows e.g. datetime objects as axis values
-        self._process_unit_info(xdata=X, ydata=Y, kwargs=kwargs)
-        X = self.convert_xunits(X)
-        Y = self.convert_yunits(Y)
+        X, Y, C, shading = self._pcolorargs('pcolormesh', *args,
+                                            shading=shading, kwargs=kwargs)
+        coords = np.stack([X, Y], axis=-1)
 
-        coords = np.zeros(((Nx * Ny), 2), dtype=float)
-        coords[:, 0] = X
-        coords[:, 1] = Y
+        kwargs.setdefault('snap', mpl.rcParams['pcolormesh.snap'])
 
         collection = mcoll.QuadMesh(
-            Nx - 1, Ny - 1, coords,
-            antialiased=antialiased, shading=shading, **kwargs)
-        collection.set_alpha(alpha)
-        collection.set_array(C)
-        if norm is not None:
-            assert(isinstance(norm, mcolors.Normalize))
-        collection.set_cmap(cmap)
-        collection.set_norm(norm)
-        collection.set_clim(vmin, vmax)
-        collection.autoscale_None()
+            coords, antialiased=antialiased, shading=shading,
+            array=C, cmap=cmap, norm=norm, colorizer=colorizer, alpha=alpha, **kwargs)
+        collection._check_exclusionary_keywords(colorizer, vmin=vmin, vmax=vmax)
+        collection._scale_norm(norm, vmin, vmax)
 
-        self.grid(False)
+        coords = coords.reshape(-1, 2)  # flatten the grid structure; keep x, y
+        self._update_pcolor_lims(collection, coords)
+        return collection
 
+    def _update_pcolor_lims(self, collection, coords):
+        """
+        Common code for updating lims in pcolor() and pcolormesh() methods.
+        """
         # Transform from native to data coordinates?
         t = collection._transform
-        if (not isinstance(t, mtransforms.Transform)
-            and hasattr(t, '_as_mpl_transform')):
+        if (not isinstance(t, mtransforms.Transform) and
+                hasattr(t, '_as_mpl_transform')):
             t = t._as_mpl_transform(self.axes)
 
         if t and any(t.contains_branch_seperately(self.transData)):
             trans_to_data = t - self.transData
-            pts = np.vstack([X, Y]).T.astype(np.float)
-            transformed_pts = trans_to_data.transform(pts)
-            X = transformed_pts[..., 0]
-            Y = transformed_pts[..., 1]
+            coords = trans_to_data.transform(coords)
 
-        minx = np.amin(X)
-        maxx = np.amax(X)
-        miny = np.amin(Y)
-        maxy = np.amax(Y)
-
-        corners = (minx, miny), (maxx, maxy)
-        self.update_datalim(corners)
-        self.autoscale_view()
         self.add_collection(collection, autolim=False)
-        return collection
 
-    @docstring.dedent_interpd
-    def pcolorfast(self, *args, **kwargs):
+        minx, miny = np.min(coords, axis=0)
+        maxx, maxy = np.max(coords, axis=0)
+        collection.sticky_edges.x[:] = [minx, maxx]
+        collection.sticky_edges.y[:] = [miny, maxy]
+        self.update_datalim(coords)
+        self._request_autoscale_view()
+
+    @_preprocess_data()
+    @_docstring.interpd
+    def pcolorfast(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
+                   vmax=None, colorizer=None, **kwargs):
         """
-        pseudocolor plot of a 2-D array
+        Create a pseudocolor plot with a non-regular rectangular grid.
 
-        Experimental; this is a pcolor-type method that
-        provides the fastest possible rendering with the Agg
-        backend, and that can handle any quadrilateral grid.
-        It supports only flat shading (no outlines), it lacks
-        support for log scaling of the axes, and it does not
-        have a pyplot wrapper.
+        Call signature::
 
-        Call signatures::
+            ax.pcolorfast([X, Y], C, /, **kwargs)
 
-          ax.pcolorfast(C, **kwargs)
-          ax.pcolorfast(xr, yr, C, **kwargs)
-          ax.pcolorfast(x, y, C, **kwargs)
-          ax.pcolorfast(X, Y, C, **kwargs)
+        The arguments *X*, *Y*, *C* are positional-only.
 
-        C is the 2D array of color values corresponding to quadrilateral
-        cells. Let (nr, nc) be its shape.  C may be a masked array.
+        This method is similar to `~.Axes.pcolor` and `~.Axes.pcolormesh`.
+        It's designed to provide the fastest pcolor-type plotting with the
+        Agg backend. To achieve this, it uses different algorithms internally
+        depending on the complexity of the input grid (regular rectangular,
+        non-regular rectangular or arbitrary quadrilateral).
 
-        ``ax.pcolorfast(C, **kwargs)`` is equivalent to
-        ``ax.pcolorfast([0,nc], [0,nr], C, **kwargs)``
+        .. warning::
 
-        *xr*, *yr* specify the ranges of *x* and *y* corresponding to the
-        rectangular region bounding *C*.  If::
+            This method is experimental. Compared to `~.Axes.pcolor` or
+            `~.Axes.pcolormesh` it has some limitations:
 
-            xr = [x0, x1]
+            - It supports only flat shading (no outlines)
+            - It lacks support for log scaling of the axes.
+            - It does not have a pyplot wrapper.
 
-        and::
+        Parameters
+        ----------
+        C : array-like
+            The image data. Supported array shapes are:
 
-            yr = [y0,y1]
+            - (M, N): an image with scalar data.  Color-mapping is controlled
+              by *cmap*, *norm*, *vmin*, and *vmax*.
+            - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).
+            - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),
+              i.e. including transparency.
 
-        then *x* goes from *x0* to *x1* as the second index of *C* goes
-        from 0 to *nc*, etc.  (*x0*, *y0*) is the outermost corner of
-        cell (0,0), and (*x1*, *y1*) is the outermost corner of cell
-        (*nr*-1, *nc*-1).  All cells are rectangles of the same size.
-        This is the fastest version.
+            The first two dimensions (M, N) define the rows and columns of
+            the image.
 
-        *x*, *y* are 1D arrays of length *nc* +1 and *nr* +1, respectively,
-        giving the x and y boundaries of the cells.  Hence the cells are
-        rectangular but the grid may be nonuniform.  The speed is
-        intermediate.  (The grid is checked, and if found to be
-        uniform the fast version is used.)
+            This parameter can only be passed positionally.
 
-        *X* and *Y* are 2D arrays with shape (*nr* +1, *nc* +1) that specify
-        the (x,y) coordinates of the corners of the colored
-        quadrilaterals; the quadrilateral for C[i,j] has corners at
-        (X[i,j],Y[i,j]), (X[i,j+1],Y[i,j+1]), (X[i+1,j],Y[i+1,j]),
-        (X[i+1,j+1],Y[i+1,j+1]).  The cells need not be rectangular.
-        This is the most general, but the slowest to render.  It may
-        produce faster and more compact output using ps, pdf, and
-        svg backends, however.
+        X, Y : tuple or array-like, default: ``(0, N)``, ``(0, M)``
+            *X* and *Y* are used to specify the coordinates of the
+            quadrilaterals. There are different ways to do this:
 
-        Note that the the column index corresponds to the x-coordinate,
-        and the row index corresponds to y; for details, see
-        the "Grid Orientation" section below.
+            - Use tuples ``X=(xmin, xmax)`` and ``Y=(ymin, ymax)`` to define
+              a *uniform rectangular grid*.
 
-        Optional keyword arguments:
+              The tuples define the outer edges of the grid. All individual
+              quadrilaterals will be of the same size. This is the fastest
+              version.
 
-          *cmap*: [ *None* | Colormap ]
-            A :class:`matplotlib.colors.Colormap` instance from cm. If *None*,
-            use rc settings.
+            - Use 1D arrays *X*, *Y* to specify a *non-uniform rectangular
+              grid*.
 
-          *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` instance is used to scale
-            luminance data to 0,1. If *None*, defaults to normalize()
+              In this case *X* and *Y* have to be monotonic 1D arrays of length
+              *N+1* and *M+1*, specifying the x and y boundaries of the cells.
 
-          *vmin*/*vmax*: [ *None* | scalar ]
-            *vmin* and *vmax* are used in conjunction with norm to normalize
-            luminance data.  If either are *None*, the min and max
-            of the color array *C* is used.  If you pass a norm instance,
-            *vmin* and *vmax* will be *None*.
+              The speed is intermediate. Note: The grid is checked, and if
+              found to be uniform the fast version is used.
 
-          *alpha*: ``0 <= scalar <= 1``  or *None*
-            the alpha blending value
+            - Use 2D arrays *X*, *Y* if you need an *arbitrary quadrilateral
+              grid* (i.e. if the quadrilaterals are not rectangular).
 
-        Return value is an image if a regular or rectangular grid
-        is specified, and a :class:`~matplotlib.collections.QuadMesh`
-        collection in the general quadrilateral case.
+              In this case *X* and *Y* are 2D arrays with shape (M + 1, N + 1),
+              specifying the x and y coordinates of the corners of the colored
+              quadrilaterals.
 
-        """
+              This is the most general, but the slowest to render.  It may
+              produce faster and more compact output using ps, pdf, and
+              svg backends, however.
 
-        if not self._hold:
-            self.cla()
+            These arguments can only be passed positionally.
 
-        alpha = kwargs.pop('alpha', None)
-        norm = kwargs.pop('norm', None)
-        cmap = kwargs.pop('cmap', None)
-        vmin = kwargs.pop('vmin', None)
-        vmax = kwargs.pop('vmax', None)
-        if norm is not None:
-            assert(isinstance(norm, mcolors.Normalize))
+        %(cmap_doc)s
+
+            This parameter is ignored if *C* is RGB(A).
+
+        %(norm_doc)s
+
+            This parameter is ignored if *C* is RGB(A).
+
+        %(vmin_vmax_doc)s
+
+            This parameter is ignored if *C* is RGB(A).
+
+        %(colorizer_doc)s
+
+            This parameter is ignored if *C* is RGB(A).
+
+        alpha : float, default: None
+            The alpha blending value, between 0 (transparent) and 1 (opaque).
+
+        snap : bool, default: False
+            Whether to snap the mesh to pixel boundaries.
+
+        Returns
+        -------
+        `.AxesImage` or `.PcolorImage` or `.QuadMesh`
+            The return type depends on the type of grid:
+
+            - `.AxesImage` for a regular rectangular grid.
+            - `.PcolorImage` for a non-regular rectangular grid.
+            - `.QuadMesh` for a non-rectangular grid.
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            Supported additional parameters depend on the type of grid.
+            See return types of *image* for further description.
+        """
 
         C = args[-1]
-        nr, nc = C.shape
+        nr, nc = np.shape(C)[:2]
         if len(args) == 1:
             style = "image"
             x = [0, nc]
@@ -5266,467 +6940,485 @@ def pcolorfast(self, *args, **kwargs):
                 if x.size == 2 and y.size == 2:
                     style = "image"
                 else:
+                    if x.size != nc + 1:
+                        raise ValueError(
+                            f"Length of X ({x.size}) must be one larger than the "
+                            f"number of columns in C ({nc})")
+                    if y.size != nr + 1:
+                        raise ValueError(
+                            f"Length of Y ({y.size}) must be one larger than the "
+                            f"number of rows in C ({nr})"
+                        )
                     dx = np.diff(x)
                     dy = np.diff(y)
-                    if (np.ptp(dx) < 0.01 * np.abs(dx.mean()) and
-                        np.ptp(dy) < 0.01 * np.abs(dy.mean())):
+                    if (np.ptp(dx) < 0.01 * abs(dx.mean()) and
+                            np.ptp(dy) < 0.01 * abs(dy.mean())):
                         style = "image"
                     else:
                         style = "pcolorimage"
             elif x.ndim == 2 and y.ndim == 2:
                 style = "quadmesh"
             else:
-                raise TypeError("arguments do not match valid signatures")
+                raise TypeError(
+                    f"When 3 positional parameters are passed to pcolorfast, the first "
+                    f"two (X and Y) must be both 1D or both 2D; the given X was "
+                    f"{x.ndim}D and the given Y was {y.ndim}D")
         else:
-            raise TypeError("need 1 argument or 3 arguments")
+            raise _api.nargs_error('pcolorfast', '1 or 3', len(args))
 
+        mcolorizer.ColorizingArtist._check_exclusionary_keywords(colorizer, vmin=vmin,
+                                                                 vmax=vmax)
         if style == "quadmesh":
-
-            # convert to one dimensional arrays
-            # This should also be moved to the QuadMesh class
-            C = ma.ravel(C)  # data point in each cell is value
-                             # at lower left corner
-            X = x.ravel()
-            Y = y.ravel()
-            Nx = nc + 1
-            Ny = nr + 1
-
-            # The following needs to be cleaned up; the renderer
-            # requires separate contiguous arrays for X and Y,
-            # but the QuadMesh class requires the 2D array.
-            coords = np.empty(((Nx * Ny), 2), np.float64)
-            coords[:, 0] = X
-            coords[:, 1] = Y
-
-            # The QuadMesh class can also be changed to
-            # handle relevant superclass kwargs; the initializer
-            # should do much more than it does now.
-            collection = mcoll.QuadMesh(nc, nr, coords, 0, edgecolors="None")
-            collection.set_alpha(alpha)
-            collection.set_array(C)
-            collection.set_cmap(cmap)
-            collection.set_norm(norm)
+            # data point in each cell is value at lower left corner
+            coords = np.stack([x, y], axis=-1)
+            if np.ndim(C) not in {2, 3}:
+                raise ValueError("C must be 2D or 3D")
+            collection = mcoll.QuadMesh(
+                coords, array=C,
+                alpha=alpha, cmap=cmap, norm=norm, colorizer=colorizer,
+                antialiased=False, edgecolors="none")
             self.add_collection(collection, autolim=False)
-            xl, xr, yb, yt = X.min(), X.max(), Y.min(), Y.max()
+            xl, xr, yb, yt = x.min(), x.max(), y.min(), y.max()
             ret = collection
 
-        else:
-            # One of the image styles:
-            xl, xr, yb, yt = x[0], x[-1], y[0], y[-1]
-        if style == "image":
-
-            im = mimage.AxesImage(self, cmap, norm,
-                                        interpolation='nearest',
-                                        origin='lower',
-                                        extent=(xl, xr, yb, yt),
-                                         **kwargs)
-            im.set_data(C)
-            im.set_alpha(alpha)
+        else:  # It's one of the two image styles.
+            extent = xl, xr, yb, yt = x[0], x[-1], y[0], y[-1]
+            if style == "image":
+                im = mimage.AxesImage(
+                    self, cmap=cmap, norm=norm, colorizer=colorizer,
+                    data=C, alpha=alpha, extent=extent,
+                    interpolation='nearest', origin='lower',
+                    **kwargs)
+            elif style == "pcolorimage":
+                im = mimage.PcolorImage(
+                    self, x, y, C,
+                    cmap=cmap, norm=norm, colorizer=colorizer, alpha=alpha,
+                    extent=extent, **kwargs)
             self.add_image(im)
             ret = im
 
-        if style == "pcolorimage":
-            im = mimage.PcolorImage(self, x, y, C,
-                                    cmap=cmap,
-                                    norm=norm,
-                                    alpha=alpha,
-                                    **kwargs)
-            self.add_image(im)
-            ret = im
+        if np.ndim(C) == 2:  # C.ndim == 3 is RGB(A) so doesn't need scaling.
+            ret._scale_norm(norm, vmin, vmax)
 
-        if vmin is not None or vmax is not None:
-            ret.set_clim(vmin, vmax)
-        else:
-            ret.autoscale_None()
+        if ret.get_clip_path() is None:
+            # image does not already have clipping set, clip to Axes patch
+            ret.set_clip_path(self.patch)
+
+        ret.sticky_edges.x[:] = [xl, xr]
+        ret.sticky_edges.y[:] = [yb, yt]
         self.update_datalim(np.array([[xl, yb], [xr, yt]]))
-        self.autoscale_view(tight=True)
+        self._request_autoscale_view(tight=True)
         return ret
 
+    @_preprocess_data()
+    @_docstring.interpd
     def contour(self, *args, **kwargs):
-        if not self._hold:
-            self.cla()
-        kwargs['filled'] = False
-        return mcontour.QuadContourSet(self, *args, **kwargs)
-    contour.__doc__ = mcontour.QuadContourSet.contour_doc
+        """
+        Plot contour lines.
 
-    def contourf(self, *args, **kwargs):
-        if not self._hold:
-            self.cla()
-        kwargs['filled'] = True
-        return mcontour.QuadContourSet(self, *args, **kwargs)
-    contourf.__doc__ = mcontour.QuadContourSet.contour_doc
+        Call signature::
+
+            contour([X, Y,] Z, /, [levels], **kwargs)
 
-    def clabel(self, CS, *args, **kwargs):
-        return CS.clabel(*args, **kwargs)
-    clabel.__doc__ = mcontour.ContourSet.clabel.__doc__
+        The arguments *X*, *Y*, *Z* are positional-only.
+        %(contour_doc)s
+        """
+        kwargs['filled'] = False
+        contours = mcontour.QuadContourSet(self, *args, **kwargs)
+        self._request_autoscale_view()
+        return contours
 
-    @docstring.dedent_interpd
-    def table(self, **kwargs):
+    @_preprocess_data()
+    @_docstring.interpd
+    def contourf(self, *args, **kwargs):
         """
-        Add a table to the current axes.
+        Plot filled contours.
 
         Call signature::
 
-          table(cellText=None, cellColours=None,
-                cellLoc='right', colWidths=None,
-                rowLabels=None, rowColours=None, rowLoc='left',
-                colLabels=None, colColours=None, colLoc='center',
-                loc='bottom', bbox=None):
+            contourf([X, Y,] Z, /, [levels], **kwargs)
+
+        The arguments *X*, *Y*, *Z* are positional-only.
+        %(contour_doc)s
+        """
+        kwargs['filled'] = True
+        contours = mcontour.QuadContourSet(self, *args, **kwargs)
+        self._request_autoscale_view()
+        return contours
+
+    def clabel(self, CS, levels=None, **kwargs):
+        """
+        Label a contour plot.
 
-        Returns a :class:`matplotlib.table.Table` instance.  For finer
-        grained control over tables, use the
-        :class:`~matplotlib.table.Table` class and add it to the axes
-        with :meth:`~matplotlib.axes.Axes.add_table`.
+        Adds labels to line contours in given `.ContourSet`.
 
-        Thanks to John Gill for providing the class and table.
+        Parameters
+        ----------
+        CS : `.ContourSet` instance
+            Line contours to label.
 
-        kwargs control the :class:`~matplotlib.table.Table`
-        properties:
+        levels : array-like, optional
+            A list of level values, that should be labeled. The list must be
+            a subset of ``CS.levels``. If not given, all levels are labeled.
 
-        %(Table)s
+        **kwargs
+            All other parameters are documented in `~.ContourLabeler.clabel`.
         """
-        return mtable.table(self, **kwargs)
+        return CS.clabel(levels, **kwargs)
 
     #### Data analysis
 
-    @docstring.dedent_interpd
-    def hist(self, x, bins=10, range=None, normed=False, weights=None,
+    @_api.make_keyword_only("3.10", "range")
+    @_preprocess_data(replace_names=["x", 'weights'], label_namer="x")
+    def hist(self, x, bins=None, range=None, density=False, weights=None,
              cumulative=False, bottom=None, histtype='bar', align='mid',
              orientation='vertical', rwidth=None, log=False,
-             color=None, label=None, stacked=False,
-             **kwargs):
+             color=None, label=None, stacked=False, **kwargs):
         """
-        Plot a histogram.
+        Compute and plot a histogram.
+
+        This method uses `numpy.histogram` to bin the data in *x* and count the
+        number of values in each bin, then draws the distribution either as a
+        `.BarContainer` or `.Polygon`. The *bins*, *range*, *density*, and
+        *weights* parameters are forwarded to `numpy.histogram`.
+
+        If the data has already been binned and counted, use `~.bar` or
+        `~.stairs` to plot the distribution::
+
+            counts, bins = np.histogram(x)
+            plt.stairs(counts, bins)
+
+        Alternatively, plot pre-computed bins and counts using ``hist()`` by
+        treating each bin as a single point with a weight equal to its count::
 
-        Compute and draw the histogram of *x*. The return value is a
-        tuple (*n*, *bins*, *patches*) or ([*n0*, *n1*, ...], *bins*,
-        [*patches0*, *patches1*,...]) if the input contains multiple
-        data.
+            plt.hist(bins[:-1], bins, weights=counts)
 
-        Multiple data can be provided via *x* as a list of datasets
-        of potentially different length ([*x0*, *x1*, ...]), or as
-        a 2-D ndarray in which each column is a dataset.  Note that
-        the ndarray form is transposed relative to the list form.
+        The data input *x* can be a singular array, a list of datasets of
+        potentially different lengths ([*x0*, *x1*, ...]), or a 2D ndarray in
+        which each column is a dataset. Note that the ndarray form is
+        transposed relative to the list form. If the input is an array, then
+        the return value is a tuple (*n*, *bins*, *patches*); if the input is a
+        sequence of arrays, then the return value is a tuple
+        ([*n0*, *n1*, ...], *bins*, [*patches0*, *patches1*, ...]).
 
-        Masked arrays are not supported at present.
+        Masked arrays are not supported.
 
         Parameters
         ----------
         x : (n,) array or sequence of (n,) arrays
-            Input values, this takes either a single array or a sequency of
-            arrays which are not required to be of the same length
+            Input values, this takes either a single array or a sequence of
+            arrays which are not required to be of the same length.
 
-        bins : integer or array_like, optional, default: 10
-            If an integer is given, `bins + 1` bin edges are returned,
-            consistently with :func:`numpy.histogram` for numpy version >=
-            1.3.
+        bins : int or sequence or str, default: :rc:`hist.bins`
+            If *bins* is an integer, it defines the number of equal-width bins
+            in the range.
 
-            Unequally spaced bins are supported if `bins` is a sequence.
+            If *bins* is a sequence, it defines the bin edges, including the
+            left edge of the first bin and the right edge of the last bin;
+            in this case, bins may be unequally spaced.  All but the last
+            (righthand-most) bin is half-open.  In other words, if *bins* is::
 
-        range : tuple, optional, default: None
+                [1, 2, 3, 4]
+
+            then the first bin is ``[1, 2)`` (including 1, but excluding 2) and
+            the second ``[2, 3)``.  The last bin, however, is ``[3, 4]``, which
+            *includes* 4.
+
+            If *bins* is a string, it is one of the binning strategies
+            supported by `numpy.histogram_bin_edges`: 'auto', 'fd', 'doane',
+            'scott', 'stone', 'rice', 'sturges', or 'sqrt'.
+
+        range : tuple or None, default: None
             The lower and upper range of the bins. Lower and upper outliers
-            are ignored. If not provided, `range` is (x.min(), x.max()). Range
-            has no effect if `bins` is a sequence.
+            are ignored. If not provided, *range* is ``(x.min(), x.max())``.
+            Range has no effect if *bins* is a sequence.
 
-            If `bins` is a sequence or `range` is specified, autoscaling
+            If *bins* is a sequence or *range* is specified, autoscaling
             is based on the specified bin range instead of the
             range of x.
 
-        normed : boolean, optional, default: False
-            If `True`, the first element of the return tuple will
-            be the counts normalized to form a probability density, i.e.,
-            ``n/(len(x)`dbin)``, i.e., the integral of the histogram will sum
-            to 1. If *stacked* is also *True*, the sum of the histograms is
+        density : bool, default: False
+            If ``True``, draw and return a probability density: each bin
+            will display the bin's raw count divided by the total number of
+            counts *and the bin width*
+            (``density = counts / (sum(counts) * np.diff(bins))``),
+            so that the area under the histogram integrates to 1
+            (``np.sum(density * np.diff(bins)) == 1``).
+
+            If *stacked* is also ``True``, the sum of the histograms is
             normalized to 1.
 
-        weights : array_like, shape (n, ), optional, default: None
-            An array of weights, of the same shape as `x`.  Each value in `x`
-            only contributes its associated weight towards the bin count
-            (instead of 1).  If `normed` is True, the weights are normalized,
-            so that the integral of the density over the range remains 1.
+        weights : (n,) array-like or None, default: None
+            An array of weights, of the same shape as *x*.  Each value in
+            *x* only contributes its associated weight towards the bin count
+            (instead of 1).  If *density* is ``True``, the weights are
+            normalized, so that the integral of the density over the range
+            remains 1.
 
-        cumulative : boolean, optional, default : False
-            If `True`, then a histogram is computed where each bin gives the
+        cumulative : bool or -1, default: False
+            If ``True``, then a histogram is computed where each bin gives the
             counts in that bin plus all bins for smaller values. The last bin
-            gives the total number of datapoints.  If `normed` is also `True`
-            then the histogram is normalized such that the last bin equals 1.
-            If `cumulative` evaluates to less than 0 (e.g., -1), the direction
-            of accumulation is reversed.  In this case, if `normed` is also
-            `True`, then the histogram is normalized such that the first bin
+            gives the total number of datapoints.
+
+            If *density* is also ``True`` then the histogram is normalized such
+            that the last bin equals 1.
+
+            If *cumulative* is a number less than 0 (e.g., -1), the direction
+            of accumulation is reversed.  In this case, if *density* is also
+            ``True``, then the histogram is normalized such that the first bin
             equals 1.
 
-        bottom : array_like, scalar, or None, default: None
-            Location of the bottom baseline of each bin.  If a scalar,
-            the base line for each bin is shifted by the same amount.
-            If an array, each bin is shifted independently and the length
-            of bottom must match the number of bins.  If None, defaults to 0.
+        bottom : array-like or float, default: 0
+            Location of the bottom of each bin, i.e. bins are drawn from
+            ``bottom`` to ``bottom + hist(x, bins)`` If a scalar, the bottom
+            of each bin is shifted by the same amount. If an array, each bin
+            is shifted independently and the length of bottom must match the
+            number of bins. If None, defaults to 0.
 
-        histtype : ['bar' | 'barstacked' | 'step' | 'stepfilled'], optional
+        histtype : {'bar', 'barstacked', 'step', 'stepfilled'}, default: 'bar'
             The type of histogram to draw.
 
             - 'bar' is a traditional bar-type histogram.  If multiple data
-              are given the bars are aranged side by side.
-
+              are given the bars are arranged side by side.
             - 'barstacked' is a bar-type histogram where multiple
               data are stacked on top of each other.
+            - 'step' generates a lineplot that is by default unfilled.
+            - 'stepfilled' generates a lineplot that is by default filled.
 
-            - 'step' generates a lineplot that is by default
-              unfilled.
-
-            - 'stepfilled' generates a lineplot that is by default
-              filled.
+        align : {'left', 'mid', 'right'}, default: 'mid'
+            The horizontal alignment of the histogram bars.
 
-        align : ['left' | 'mid' | 'right'], optional, default: 'mid'
-            Controls how the histogram is plotted.
+            - 'left': bars are centered on the left bin edges.
+            - 'mid': bars are centered between the bin edges.
+            - 'right': bars are centered on the right bin edges.
 
-                - 'left': bars are centered on the left bin edges.
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            If 'horizontal', `~.Axes.barh` will be used for bar-type histograms
+            and the *bottom* kwarg will be the left edges.
 
-                - 'mid': bars are centered between the bin edges.
-
-                - 'right': bars are centered on the right bin edges.
-
-        orientation : ['horizontal' | 'vertical'], optional
-            If 'horizontal', `~matplotlib.pyplot.barh` will be used for
-            bar-type histograms and the *bottom* kwarg will be the left edges.
-
-        rwidth : scalar, optional, default: None
+        rwidth : float or None, default: None
             The relative width of the bars as a fraction of the bin width.  If
-            `None`, automatically compute the width. Ignored if `histtype` =
-            'step' or 'stepfilled'.
+            ``None``, automatically compute the width.
+
+            Ignored if *histtype* is 'step' or 'stepfilled'.
 
-        log : boolean, optional, default : False
-            If `True`, the histogram axis will be set to a log scale. If `log`
-            is `True` and `x` is a 1D array, empty bins will be filtered out
-            and only the non-empty (`n`, `bins`, `patches`) will be returned.
+        log : bool, default: False
+            If ``True``, the histogram axis will be set to a log scale.
 
-        color : color or array_like of colors, optional, default: None
-            Color spec or sequence of color specs, one per dataset.  Default
-            (`None`) uses the standard line color sequence.
+        color : :mpltype:`color` or list of :mpltype:`color` or None, default: None
+            Color or sequence of colors, one per dataset.  Default (``None``)
+            uses the standard line color sequence.
 
-        label : string, optional, default: ''
+        label : str or list of str, optional
             String, or sequence of strings to match multiple datasets.  Bar
             charts yield multiple patches per dataset, but only the first gets
-            the label, so that the legend command will work as expected.
+            the label, so that `~.Axes.legend` will work as expected.
 
-        stacked : boolean, optional, default : False
-            If `True`, multiple data are stacked on top of each other If
-            `False` multiple data are aranged side by side if histtype is
+        stacked : bool, default: False
+            If ``True``, multiple data are stacked on top of each other If
+            ``False`` multiple data are arranged side by side if histtype is
             'bar' or on top of each other if histtype is 'step'
 
         Returns
         -------
         n : array or list of arrays
-            The values of the histogram bins. See **normed** and **weights**
-            for a description of the possible semantics. If input **x** is an
-            array, then this is an array of length **nbins**. If input is a
-            sequence arrays ``[data1, data2,..]``, then this is a list of
-            arrays with the values of the histograms for each of the arrays
-            in the same order.
+            The values of the histogram bins. See *density* and *weights* for a
+            description of the possible semantics.  If input *x* is an array,
+            then this is an array of length *nbins*. If input is a sequence of
+            arrays ``[data1, data2, ...]``, then this is a list of arrays with
+            the values of the histograms for each of the arrays in the same
+            order.  The dtype of the array *n* (or of its element arrays) will
+            always be float even if no weighting or normalization is used.
 
         bins : array
             The edges of the bins. Length nbins + 1 (nbins left edges and right
             edge of last bin).  Always a single array even when multiple data
             sets are passed in.
 
-        patches : list or list of lists
-            Silent list of individual patches used to create the histogram
-            or list of such list if multiple input datasets.
+        patches : `.BarContainer` or list of a single `.Polygon` or list of \
+such objects
+            Container of individual artists used to create the histogram
+            or list of such containers if there are multiple input datasets.
 
         Other Parameters
         ----------------
-        kwargs : `~matplotlib.patches.Patch` properties
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        See also
-        --------
-        hist2d : 2D histograms
+        **kwargs
+            `~matplotlib.patches.Patch` properties. The following properties
+            additionally accept a sequence of values corresponding to the
+            datasets in *x*:
+            *edgecolor*, *facecolor*, *linewidth*, *linestyle*, *hatch*.
 
-        Notes
-        -----
-        Until numpy release 1.5, the underlying numpy histogram function was
-        incorrect with `normed`=`True` if bin sizes were unequal.  MPL
-        inherited that error.  It is now corrected within MPL when using
-        earlier numpy versions.
+            .. versionadded:: 3.10
+               Allowing sequences of values in above listed Patch properties.
 
-        Examples
+        See Also
         --------
-        .. plot:: mpl_examples/statistics/histogram_demo_features.py
+        hist2d : 2D histogram with rectangular bins
+        hexbin : 2D histogram with hexagonal bins
+        stairs : Plot a pre-computed histogram
+        bar : Plot a pre-computed histogram
 
+        Notes
+        -----
+        For large numbers of bins (>1000), plotting can be significantly
+        accelerated by using `~.Axes.stairs` to plot a pre-computed histogram
+        (``plt.stairs(*np.histogram(data))``), or by setting *histtype* to
+        'step' or 'stepfilled' rather than 'bar' or 'barstacked'.
         """
-        if not self._hold:
-            self.cla()
-
-        # xrange becomes range after 2to3
+        # Avoid shadowing the builtin.
         bin_range = range
-        range = __builtins__["range"]
+        from builtins import range
 
-        # NOTE: the range keyword overwrites the built-in func range !!!
-        #       needs to be fixed in numpy                           !!!
+        kwargs = cbook.normalize_kwargs(kwargs, mpatches.Patch)
 
-        # Validate string inputs here so we don't have to clutter
-        # subsequent code.
-        if histtype not in ['bar', 'barstacked', 'step', 'stepfilled']:
-            raise ValueError("histtype %s is not recognized" % histtype)
+        if np.isscalar(x):
+            x = [x]
 
-        if align not in ['left', 'mid', 'right']:
-            raise ValueError("align kwarg %s is not recognized" % align)
+        bins = mpl._val_or_rc(bins, 'hist.bins')
 
-        if orientation not in ['horizontal', 'vertical']:
-            raise ValueError(
-                "orientation kwarg %s is not recognized" % orientation)
+        # Validate string inputs here to avoid cluttering subsequent code.
+        _api.check_in_list(['bar', 'barstacked', 'step', 'stepfilled'],
+                           histtype=histtype)
+        _api.check_in_list(['left', 'mid', 'right'], align=align)
+        _api.check_in_list(['horizontal', 'vertical'], orientation=orientation)
 
         if histtype == 'barstacked' and not stacked:
             stacked = True
 
-        # Check whether bins or range are given explicitly.
-        binsgiven = (cbook.iterable(bins) or bin_range is not None)
-
-        # basic input validation
-        flat = np.ravel(x)
-        if len(flat) == 0:
-            raise ValueError("x must have at least one data point")
-        elif len(flat) == 1 and not binsgiven:
-            raise ValueError(
-                "x has only one data point. bins or range kwarg must be given")
-
         # Massage 'x' for processing.
-        # NOTE: Be sure any changes here is also done below to 'weights'
-        if isinstance(x, np.ndarray) or not iterable(x[0]):
-            # TODO: support masked arrays;
-            x = np.asarray(x)
-            if x.ndim == 2:
-                x = x.T  # 2-D input with columns as datasets; switch to rows
-            elif x.ndim == 1:
-                x = x.reshape(1, x.shape[0])  # new view, single row
-            else:
-                raise ValueError("x must be 1D or 2D")
-            if x.shape[1] < x.shape[0]:
-                warnings.warn(
-                    '2D hist input should be nsamples x nvariables;\n '
-                    'this looks transposed (shape is %d x %d)' % x.shape[::-1])
-        else:
-            # multiple hist with data of different length
-            x = [np.asarray(xi) for xi in x]
-
+        x = cbook._reshape_2D(x, 'x')
         nx = len(x)  # number of datasets
 
-        if color is None:
-            color = [six.next(self._get_lines.color_cycle)
-                     for i in xrange(nx)]
-        else:
-            color = mcolors.colorConverter.to_rgba_array(color)
-            if len(color) != nx:
-                raise ValueError("color kwarg must have one color per dataset")
+        # Process unit information.  _process_unit_info sets the unit and
+        # converts the first dataset; then we convert each following dataset
+        # one at a time.
+        if orientation == "vertical":
+            convert_units = self.convert_xunits
+            x = [*self._process_unit_info([("x", x[0])], kwargs),
+                 *map(convert_units, x[1:])]
+        else:  # horizontal
+            convert_units = self.convert_yunits
+            x = [*self._process_unit_info([("y", x[0])], kwargs),
+                 *map(convert_units, x[1:])]
+
+        if bin_range is not None:
+            bin_range = convert_units(bin_range)
+
+        if not cbook.is_scalar_or_string(bins):
+            bins = convert_units(bins)
 
         # We need to do to 'weights' what was done to 'x'
         if weights is not None:
-            if isinstance(weights, np.ndarray) or not iterable(weights[0]):
-                w = np.array(weights)
-                if w.ndim == 2:
-                    w = w.T
-                elif w.ndim == 1:
-                    w.shape = (1, w.shape[0])
-                else:
-                    raise ValueError("weights must be 1D or 2D")
-            else:
-                w = [np.asarray(wi) for wi in weights]
+            w = cbook._reshape_2D(weights, 'weights')
+        else:
+            w = [None] * nx
+
+        if len(w) != nx:
+            raise ValueError('weights should have the same shape as x')
 
-            if len(w) != nx:
+        input_empty = True
+        for xi, wi in zip(x, w):
+            len_xi = len(xi)
+            if wi is not None and len(wi) != len_xi:
                 raise ValueError('weights should have the same shape as x')
-            for i in xrange(nx):
-                if len(w[i]) != len(x[i]):
-                    raise ValueError(
-                        'weights should have the same shape as x')
-        else:
-            w = [None]*nx
+            if len_xi:
+                input_empty = False
 
-        # Save the datalimits for the same reason:
-        _saved_bounds = self.dataLim.bounds
+        if color is None:
+            colors = [self._get_lines.get_next_color() for i in range(nx)]
+        else:
+            colors = mcolors.to_rgba_array(color)
+            if len(colors) != nx:
+                raise ValueError(f"The 'color' keyword argument must have one "
+                                 f"color per dataset, but {nx} datasets and "
+                                 f"{len(colors)} colors were provided")
+
+        hist_kwargs = dict()
+
+        # if the bin_range is not given, compute without nan numpy
+        # does not do this for us when guessing the range (but will
+        # happily ignore nans when computing the histogram).
+        if bin_range is None:
+            xmin = np.inf
+            xmax = -np.inf
+            for xi in x:
+                if len(xi):
+                    # python's min/max ignore nan,
+                    # np.minnan returns nan for all nan input
+                    xmin = min(xmin, np.nanmin(xi))
+                    xmax = max(xmax, np.nanmax(xi))
+            if xmin <= xmax:  # Only happens if we have seen a finite value.
+                bin_range = (xmin, xmax)
 
         # If bins are not specified either explicitly or via range,
         # we need to figure out the range required for all datasets,
         # and supply that to np.histogram.
-        if not binsgiven:
-            xmin = np.inf
-            xmax = -np.inf
-            for xi in x:
-                if len(xi) > 0:
-                    xmin = min(xmin, xi.min())
-                    xmax = max(xmax, xi.max())
-            bin_range = (xmin, xmax)
-
-        #hist_kwargs = dict(range=range, normed=bool(normed))
-        # We will handle the normed kwarg within mpl until we
-        # get to the point of requiring numpy >= 1.5.
-        hist_kwargs = dict(range=bin_range)
-
-        n = []
-        mlast = None
-        for i in xrange(nx):
+        if not input_empty and len(x) > 1:
+            if weights is not None:
+                _w = np.concatenate(w)
+            else:
+                _w = None
+            bins = np.histogram_bin_edges(
+                np.concatenate(x), bins, bin_range, _w)
+        else:
+            hist_kwargs['range'] = bin_range
+
+        density = bool(density)
+        if density and not stacked:
+            hist_kwargs['density'] = density
+
+        # List to store all the top coordinates of the histograms
+        tops = []  # Will have shape (n_datasets, n_bins).
+        # Loop through datasets
+        for i in range(nx):
             # this will automatically overwrite bins,
             # so that each histogram uses the same bins
             m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)
-            m = m.astype(float)  # causes problems later if it's an int
-            if mlast is None:
-                mlast = np.zeros(len(bins)-1, m.dtype)
-            if normed and not stacked:
-                db = np.diff(bins)
-                m = (m.astype(float) / db) / m.sum()
-            if stacked:
-                if mlast is None:
-                    mlast = np.zeros(len(bins)-1, m.dtype)
-                m += mlast
-                mlast[:] = m
-            n.append(m)
-
-        if stacked and normed:
-            db = np.diff(bins)
-            for m in n:
-                m[:] = (m.astype(float) / db) / n[-1].sum()
+            tops.append(m)
+        tops = np.array(tops, float)  # causes problems later if it's an int
+        bins = np.array(bins, float)  # causes problems if float16
+        if stacked:
+            tops = tops.cumsum(axis=0)
+            # If a stacked density plot, normalize so the area of all the
+            # stacked histograms together is 1
+            if density:
+                tops = (tops / np.diff(bins)) / tops[-1].sum()
         if cumulative:
             slc = slice(None)
-            if cbook.is_numlike(cumulative) and cumulative < 0:
+            if isinstance(cumulative, Number) and cumulative < 0:
                 slc = slice(None, None, -1)
-
-            if normed:
-                n = [(m * np.diff(bins))[slc].cumsum()[slc] for m in n]
+            if density:
+                tops = (tops * np.diff(bins))[:, slc].cumsum(axis=1)[:, slc]
             else:
-                n = [m[slc].cumsum()[slc] for m in n]
+                tops = tops[:, slc].cumsum(axis=1)[:, slc]
 
         patches = []
 
         if histtype.startswith('bar'):
-            # Save autoscale state for later restoration; turn autoscaling
-            # off so we can do it all a single time at the end, instead
-            # of having it done by bar or fill and then having to be redone.
-            _saved_autoscalex = self.get_autoscalex_on()
-            _saved_autoscaley = self.get_autoscaley_on()
-            self.set_autoscalex_on(False)
-            self.set_autoscaley_on(False)
 
             totwidth = np.diff(bins)
 
             if rwidth is not None:
-                dr = min(1.0, max(0.0, rwidth))
-            elif len(n) > 1:
+                dr = np.clip(rwidth, 0, 1)
+            elif (len(tops) > 1 and
+                  ((not stacked) or mpl.rcParams['_internal.classic_mode'])):
                 dr = 0.8
             else:
                 dr = 1.0
 
             if histtype == 'bar' and not stacked:
-                width = dr*totwidth/nx
+                width = dr * totwidth / nx
                 dw = width
-
-                if nx > 1:
-                    boffset = -0.5*dr*totwidth*(1.0-1.0/nx)
-                else:
-                    boffset = 0.0
-                stacked = False
+                boffset = -0.5 * dr * totwidth * (1 - 1 / nx)
             elif histtype == 'barstacked' or stacked:
-                width = dr*totwidth
+                width = dr * totwidth
                 boffset, dw = 0.0, 0.0
 
-            if align == 'mid' or align == 'edge':
-                boffset += 0.5*totwidth
+            if align == 'mid':
+                boffset += 0.5 * totwidth
             elif align == 'right':
                 boffset += totwidth
 
@@ -5737,64 +7429,48 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
                 _barfunc = self.bar
                 bottom_kwarg = 'bottom'
 
-            for m, c in zip(n, color):
+            for top, color in zip(tops, colors):
                 if bottom is None:
-                    bottom = np.zeros(len(m), np.float)
+                    bottom = np.zeros(len(top))
                 if stacked:
-                    height = m - bottom
+                    height = top - bottom
                 else:
-                    height = m
-                patch = _barfunc(bins[:-1]+boffset, height, width,
-                                 align='center', log=log,
-                                 color=c, **{bottom_kwarg: bottom})
-                patches.append(patch)
+                    height = top
+                bars = _barfunc(bins[:-1]+boffset, height, width,
+                                align='center', log=log,
+                                color=color, **{bottom_kwarg: bottom})
+                patches.append(bars)
                 if stacked:
-                    bottom[:] = m
+                    bottom = top
                 boffset += dw
-
-            self.set_autoscalex_on(_saved_autoscalex)
-            self.set_autoscaley_on(_saved_autoscaley)
-            self.autoscale_view()
+            # Remove stickies from all bars but the lowest ones, as otherwise
+            # margin expansion would be unable to cross the stickies in the
+            # middle of the bars.
+            for bars in patches[1:]:
+                for patch in bars:
+                    patch.sticky_edges.x[:] = patch.sticky_edges.y[:] = []
 
         elif histtype.startswith('step'):
             # these define the perimeter of the polygon
-            x = np.zeros(4 * len(bins) - 3, np.float)
-            y = np.zeros(4 * len(bins) - 3, np.float)
+            x = np.zeros(4 * len(bins) - 3)
+            y = np.zeros(4 * len(bins) - 3)
 
             x[0:2*len(bins)-1:2], x[1:2*len(bins)-1:2] = bins, bins[:-1]
             x[2*len(bins)-1:] = x[1:2*len(bins)-1][::-1]
 
             if bottom is None:
-                bottom = np.zeros(len(bins)-1, np.float)
+                bottom = 0
 
-            y[1:2*len(bins)-1:2], y[2:2*len(bins):2] = bottom, bottom
+            y[1:2*len(bins)-1:2] = y[2:2*len(bins):2] = bottom
             y[2*len(bins)-1:] = y[1:2*len(bins)-1][::-1]
 
             if log:
                 if orientation == 'horizontal':
-                    self.set_xscale('log', nonposx='clip')
-                    logbase = self.xaxis._scale.base
+                    self.set_xscale('log', nonpositive='clip')
                 else:  # orientation == 'vertical'
-                    self.set_yscale('log', nonposy='clip')
-                    logbase = self.yaxis._scale.base
-
-                # Setting a minimum of 0 results in problems for log plots
-                if normed or weights is not None:
-                    # For normed data, set to log base * minimum data value
-                    # (gives 1 full tick-label unit for the lowest filled bin)
-                    ndata = np.array(n)
-                    minimum = (np.min(ndata[ndata > 0])) / logbase
-                else:
-                    # For non-normed data, set the min to log base,
-                    # again so that there is 1 full tick-label unit
-                    # for the lowest bin
-                    minimum = 1.0 / logbase
-
-                y[0], y[-1] = minimum, minimum
-            else:
-                minimum = np.min(bins)
+                    self.set_yscale('log', nonpositive='clip')
 
-            if align == 'left' or align == 'center':
+            if align == 'left':
                 x -= 0.5*(bins[1]-bins[0])
             elif align == 'right':
                 x += 0.5*(bins[1]-bins[0])
@@ -5804,17 +7480,19 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
             fill = (histtype == 'stepfilled')
 
             xvals, yvals = [], []
-            for m in n:
+            for top in tops:
                 if stacked:
-                    # starting point for drawing polygon
-                    y[0] = y[1]
                     # top of the previous polygon becomes the bottom
                     y[2*len(bins)-1:] = y[1:2*len(bins)-1][::-1]
                 # set the top of this polygon
-                y[1:2*len(bins)-1:2], y[2:2*len(bins):2] = (m + bottom,
-                                                            m + bottom)
-                if log:
-                    y[y < minimum] = minimum
+                y[1:2*len(bins)-1:2] = y[2:2*len(bins):2] = top + bottom
+
+                # The starting point of the polygon has not yet been
+                # updated. So far only the endpoint was adjusted. This
+                # assignment closes the polygon. The redundant endpoint is
+                # later discarded (for step and stepfilled).
+                y[0] = y[-1]
+
                 if orientation == 'horizontal':
                     xvals.append(y.copy())
                     yvals.append(x.copy())
@@ -5822,193 +7500,398 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
                     xvals.append(x.copy())
                     yvals.append(y.copy())
 
-            if fill:
-                # add patches in reverse order so that when stacking,
-                # items lower in the stack are plottted on top of
-                # items higher in the stack
-                for x, y, c in reversed(list(zip(xvals, yvals, color))):
-                    patches.append(self.fill(
-                        x, y,
-                        closed=True,
-                        facecolor=c))
-            else:
-                for x, y, c in reversed(list(zip(xvals, yvals, color))):
-                    split = 2 * len(bins)
-                    patches.append(self.fill(
-                        x[:split], y[:split],
-                        closed=False, edgecolor=c,
-                        fill=False))
+            # stepfill is closed, step is not
+            split = -1 if fill else 2 * len(bins)
+            # add patches in reverse order so that when stacking,
+            # items lower in the stack are plotted on top of
+            # items higher in the stack
+            for x, y, color in reversed(list(zip(xvals, yvals, colors))):
+                patches.append(self.fill(
+                    x[:split], y[:split],
+                    closed=True if fill else None,
+                    facecolor=color,
+                    edgecolor=None if fill else color,
+                    fill=fill if fill else None,
+                    zorder=None if fill else mlines.Line2D.zorder))
+            for patch_list in patches:
+                for patch in patch_list:
+                    if orientation == 'vertical':
+                        patch.sticky_edges.y.append(0)
+                    elif orientation == 'horizontal':
+                        patch.sticky_edges.x.append(0)
 
             # we return patches, so put it back in the expected order
             patches.reverse()
 
-            # adopted from adjust_x/ylim part of the bar method
-            if orientation == 'horizontal':
-                xmin0 = max(_saved_bounds[0]*0.9, minimum)
-                xmax = self.dataLim.intervalx[1]
-                for m in n:
-                    if np.sum(m) > 0:  # make sure there are counts
-                        xmin = np.amin(m[m != 0])
-                        # filter out the 0 height bins
-                xmin = max(xmin*0.9, minimum)
-                xmin = min(xmin0, xmin)
-                self.dataLim.intervalx = (xmin, xmax)
-            elif orientation == 'vertical':
-                ymin0 = max(_saved_bounds[1]*0.9, minimum)
-                ymax = self.dataLim.intervaly[1]
-                for m in n:
-                    if np.sum(m) > 0:  # make sure there are counts
-                        ymin = np.amin(m[m != 0])
-                        # filter out the 0 height bins
-                ymin = max(ymin*0.9, minimum)
-                ymin = min(ymin0, ymin)
-                self.dataLim.intervaly = (ymin, ymax)
-
-        if label is None:
-            labels = [None]
-        elif is_string_like(label):
-            labels = [label]
-        elif is_sequence_of_strings(label):
-            labels = list(label)
-        else:
-            raise ValueError(
-                'invalid label: must be string or sequence of strings')
-
-        if len(labels) < nx:
-            labels += [None] * (nx - len(labels))
+        # If None, make all labels None (via zip_longest below); otherwise,
+        # cast each element to str, but keep a single str as it.
+        labels = [] if label is None else np.atleast_1d(np.asarray(label, str))
 
-        for (patch, lbl) in zip(patches, labels):
-            if patch:
-                p = patch[0]
-                p.update(kwargs)
-                if lbl is not None:
-                    p.set_label(lbl)
+        if histtype == "step":
+            ec = kwargs.get('edgecolor', colors)
+        else:
+            ec = kwargs.get('edgecolor', None)
+        if ec is None or cbook._str_lower_equal(ec, 'none'):
+            edgecolors = itertools.repeat(ec)
+        else:
+            edgecolors = itertools.cycle(mcolors.to_rgba_array(ec))
 
-                p.set_snap(False)
+        fc = kwargs.get('facecolor', colors)
+        if cbook._str_lower_equal(fc, 'none'):
+            facecolors = itertools.repeat(fc)
+        else:
+            facecolors = itertools.cycle(mcolors.to_rgba_array(fc))
 
-                for p in patch[1:]:
-                    p.update(kwargs)
-                    p.set_label('_nolegend_')
+        hatches = itertools.cycle(np.atleast_1d(kwargs.get('hatch', None)))
+        linewidths = itertools.cycle(np.atleast_1d(kwargs.get('linewidth', None)))
+        if 'linestyle' in kwargs:
+            linestyles = itertools.cycle(mlines._get_dash_patterns(kwargs['linestyle']))
+        else:
+            linestyles = itertools.repeat(None)
 
-        if binsgiven:
-            if orientation == 'vertical':
-                self.update_datalim(
-                    [(bins[0], 0), (bins[-1], 0)], updatey=False)
-            else:
-                self.update_datalim(
-                    [(0, bins[0]), (0, bins[-1])], updatex=False)
+        for patch, lbl in itertools.zip_longest(patches, labels):
+            if not patch:
+                continue
+            p = patch[0]
+            kwargs.update({
+                'hatch': next(hatches),
+                'linewidth': next(linewidths),
+                'linestyle': next(linestyles),
+                'edgecolor': next(edgecolors),
+                'facecolor': next(facecolors),
+            })
+            p._internal_update(kwargs)
+            if lbl is not None:
+                p.set_label(lbl)
+            for p in patch[1:]:
+                p._internal_update(kwargs)
+                p.set_label('_nolegend_')
 
         if nx == 1:
-            return n[0], bins, cbook.silent_list('Patch', patches[0])
+            return tops[0], bins, patches[0]
         else:
-            return n, bins, cbook.silent_list('Lists of Patches', patches)
+            patch_type = ("BarContainer" if histtype.startswith("bar")
+                          else "list[Polygon]")
+            return tops, bins, cbook.silent_list(patch_type, patches)
+
+    @_preprocess_data()
+    def stairs(self, values, edges=None, *,
+               orientation='vertical', baseline=0, fill=False, **kwargs):
+        """
+        Draw a stepwise constant function as a line or a filled plot.
+
+        *edges* define the x-axis positions of the steps. *values* the function values
+        between these steps. Depending on *fill*, the function is drawn either as a
+        continuous line with vertical segments at the edges, or as a filled area.
+
+        Parameters
+        ----------
+        values : array-like
+            The step heights.
+
+        edges : array-like
+            The step positions, with ``len(edges) == len(vals) + 1``,
+            between which the curve takes on vals values.
+
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            The direction of the steps. Vertical means that *values* are along
+            the y-axis, and edges are along the x-axis.
+
+        baseline : float, array-like or None, default: 0
+            The bottom value of the bounding edges or when
+            ``fill=True``, position of lower edge. If *fill* is
+            True or an array is passed to *baseline*, a closed
+            path is drawn.
 
-    @docstring.dedent_interpd
-    def hist2d(self, x, y, bins=10, range=None, normed=False, weights=None,
+            If None, then drawn as an unclosed Path.
+
+        fill : bool, default: False
+            Whether the area under the step curve should be filled.
+
+            Passing both ``fill=True` and ``baseline=None`` will likely result in
+            undesired filling: the first and last points will be connected
+            with a straight line and the fill will be between this line and the stairs.
+
+
+        Returns
+        -------
+        StepPatch : `~matplotlib.patches.StepPatch`
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            `~matplotlib.patches.StepPatch` properties
+
+        """
+
+        if 'color' in kwargs:
+            _color = kwargs.pop('color')
+        else:
+            _color = self._get_lines.get_next_color()
+        if fill:
+            kwargs.setdefault('linewidth', 0)
+            kwargs.setdefault('facecolor', _color)
+        else:
+            kwargs.setdefault('edgecolor', _color)
+
+        if edges is None:
+            edges = np.arange(len(values) + 1)
+
+        edges, values, baseline = self._process_unit_info(
+            [("x", edges), ("y", values), ("y", baseline)], kwargs)
+
+        patch = mpatches.StepPatch(values,
+                                   edges,
+                                   baseline=baseline,
+                                   orientation=orientation,
+                                   fill=fill,
+                                   **kwargs)
+        self.add_patch(patch)
+        if baseline is None and fill:
+            _api.warn_external(
+                f"Both {baseline=} and {fill=} have been passed. "
+                "baseline=None is only intended for unfilled stair plots. "
+                "Because baseline is None, the Path used to draw the stairs will "
+                "not be closed, thus because fill is True the polygon will be closed "
+                "by drawing an (unstroked) edge from the first to last point.  It is "
+                "very likely that the resulting fill patterns is not the desired "
+                "result."
+            )
+
+        if baseline is not None:
+            if orientation == 'vertical':
+                patch.sticky_edges.y.append(np.min(baseline))
+                self.update_datalim([(edges[0], np.min(baseline))])
+            else:
+                patch.sticky_edges.x.append(np.min(baseline))
+                self.update_datalim([(np.min(baseline), edges[0])])
+        self._request_autoscale_view()
+        return patch
+
+    @_api.make_keyword_only("3.10", "range")
+    @_preprocess_data(replace_names=["x", "y", "weights"])
+    @_docstring.interpd
+    def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
                cmin=None, cmax=None, **kwargs):
         """
         Make a 2D histogram plot.
 
         Parameters
         ----------
-        x, y: array_like, shape (n, )
+        x, y : array-like, shape (n, )
             Input values
 
-        bins: [None | int | [int, int] | array_like | [array, array]]
+        bins : None or int or [int, int] or array-like or [array, array]
 
             The bin specification:
 
-                - If int, the number of bins for the two dimensions
-                  (nx=ny=bins).
-
-                - If [int, int], the number of bins in each dimension
-                  (nx, ny = bins).
-
-                - If array_like, the bin edges for the two dimensions
-                  (x_edges=y_edges=bins).
-
-                - If [array, array], the bin edges in each dimension
-                  (x_edges, y_edges = bins).
+            - If int, the number of bins for the two dimensions
+              (``nx = ny = bins``).
+            - If ``[int, int]``, the number of bins in each dimension
+              (``nx, ny = bins``).
+            - If array-like, the bin edges for the two dimensions
+              (``x_edges = y_edges = bins``).
+            - If ``[array, array]``, the bin edges in each dimension
+              (``x_edges, y_edges = bins``).
 
             The default value is 10.
 
-        range : array_like shape(2, 2), optional, default: None
-             The leftmost and rightmost edges of the bins along each dimension
-             (if not specified explicitly in the bins parameters): [[xmin,
-             xmax], [ymin, ymax]]. All values outside of this range will be
-             considered outliers and not tallied in the histogram.
+        range : array-like shape(2, 2), optional
+            The leftmost and rightmost edges of the bins along each dimension
+            (if not specified explicitly in the bins parameters): ``[[xmin,
+            xmax], [ymin, ymax]]``. All values outside of this range will be
+            considered outliers and not tallied in the histogram.
 
-        normed : boolean, optional, default: False
-             Normalize histogram.
+        density : bool, default: False
+            Normalize histogram.  See the documentation for the *density*
+            parameter of `~.Axes.hist` for more details.
 
-        weights : array_like, shape (n, ), optional, default: None
+        weights : array-like, shape (n, ), optional
             An array of values w_i weighing each sample (x_i, y_i).
 
-        cmin : scalar, optional, default: None
-             All bins that has count less than cmin will not be displayed and
-             these count values in the return value count histogram will also
-             be set to nan upon return
-
-        cmax : scalar, optional, default: None
-             All bins that has count more than cmax will not be displayed (set
-             to none before passing to imshow) and these count values in the
-             return value count histogram will also be set to nan upon return
+        cmin, cmax : float, default: None
+            All bins that has count less than *cmin* or more than *cmax* will not be
+            displayed (set to NaN before passing to `~.Axes.pcolormesh`) and these count
+            values in the return value count histogram will also be set to nan upon
+            return.
 
         Returns
         -------
-        The return value is ``(counts, xedges, yedges, Image)``.
+        h : 2D array
+            The bi-dimensional histogram of samples x and y. Values in x are
+            histogrammed along the first dimension and values in y are
+            histogrammed along the second dimension.
+        xedges : 1D array
+            The bin edges along the x-axis.
+        yedges : 1D array
+            The bin edges along the y-axis.
+        image : `~.matplotlib.collections.QuadMesh`
+
+        Other Parameters
+        ----------------
+        %(cmap_doc)s
 
-        Other parameters
-        -----------------
-        kwargs : :meth:`pcolorfast` properties.
+        %(norm_doc)s
 
-        See also
+        %(vmin_vmax_doc)s
+
+        %(colorizer_doc)s
+
+        alpha : ``0 <= scalar <= 1`` or ``None``, optional
+            The alpha blending value.
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            Additional parameters are passed along to the
+            `~.Axes.pcolormesh` method and `~matplotlib.collections.QuadMesh`
+            constructor.
+
+        See Also
         --------
-        hist : 1D histogram
+        hist : 1D histogram plotting
+        hexbin : 2D histogram with hexagonal bins
 
         Notes
         -----
-        Rendering the histogram with a logarithmic color scale is
-        accomplished by passing a :class:`colors.LogNorm` instance to
-        the *norm* keyword argument. Likewise, power-law normalization
-        (similar in effect to gamma correction) can be accomplished with
-        :class:`colors.PowerNorm`.
+        - Currently ``hist2d`` calculates its own axis limits, and any limits
+          previously set are ignored.
+        - Rendering the histogram with a logarithmic color scale is
+          accomplished by passing a `.colors.LogNorm` instance to the *norm*
+          keyword argument. Likewise, power-law normalization (similar
+          in effect to gamma correction) can be accomplished with
+          `.colors.PowerNorm`.
+        """
 
-        Examples
-        --------
-        .. plot:: mpl_examples/pylab_examples/hist2d_demo.py
+        h, xedges, yedges = np.histogram2d(x, y, bins=bins, range=range,
+                                           density=density, weights=weights)
+
+        if cmin is not None:
+            h[h < cmin] = None
+        if cmax is not None:
+            h[h > cmax] = None
+
+        pc = self.pcolormesh(xedges, yedges, h.T, **kwargs)
+        self.set_xlim(xedges[0], xedges[-1])
+        self.set_ylim(yedges[0], yedges[-1])
+
+        return h, xedges, yedges, pc
+
+    @_preprocess_data(replace_names=["x", "weights"], label_namer="x")
+    @_docstring.interpd
+    def ecdf(self, x, weights=None, *, complementary=False,
+             orientation="vertical", compress=False, **kwargs):
         """
+        Compute and plot the empirical cumulative distribution function of *x*.
 
-        # xrange becomes range after 2to3
-        bin_range = range
-        range = __builtins__["range"]
-        h, xedges, yedges = np.histogram2d(x, y, bins=bins, range=bin_range,
-                                           normed=normed, weights=weights)
+        .. versionadded:: 3.8
+
+        Parameters
+        ----------
+        x : 1d array-like
+            The input data.  Infinite entries are kept (and move the relevant
+            end of the ecdf from 0/1), but NaNs and masked values are errors.
+
+        weights : 1d array-like or None, default: None
+            The weights of the entries; must have the same shape as *x*.
+            Weights corresponding to NaN data points are dropped, and then the
+            remaining weights are normalized to sum to 1.  If unset, all
+            entries have the same weight.
+
+        complementary : bool, default: False
+            Whether to plot a cumulative distribution function, which increases
+            from 0 to 1 (the default), or a complementary cumulative
+            distribution function, which decreases from 1 to 0.
+
+        orientation : {"vertical", "horizontal"}, default: "vertical"
+            Whether the entries are plotted along the x-axis ("vertical", the
+            default) or the y-axis ("horizontal").  This parameter takes the
+            same values as in `~.Axes.hist`.
+
+        compress : bool, default: False
+            Whether multiple entries with the same values are grouped together
+            (with a summed weight) before plotting.  This is mainly useful if
+            *x* contains many identical data points, to decrease the rendering
+            complexity of the plot. If *x* contains no duplicate points, this
+            has no effect and just uses some time and memory.
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        if cmin is not None:
-            h[h < cmin] = None
-        if cmax is not None:
-            h[h > cmax] = None
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-        pc = self.pcolorfast(xedges, yedges, h.T, **kwargs)
-        self.set_xlim(xedges[0], xedges[-1])
-        self.set_ylim(yedges[0], yedges[-1])
+            %(Line2D:kwdoc)s
 
-        return h, xedges, yedges, pc
+        Returns
+        -------
+        `.Line2D`
 
-    @docstring.dedent_interpd
+        Notes
+        -----
+        The ecdf plot can be thought of as a cumulative histogram with one bin
+        per data entry; i.e. it reports on the entire dataset without any
+        arbitrary binning.
+
+        If *x* contains NaNs or masked entries, either remove them first from
+        the array (if they should not taken into account), or replace them by
+        -inf or +inf (if they should be sorted at the beginning or the end of
+        the array).
+        """
+        _api.check_in_list(["horizontal", "vertical"], orientation=orientation)
+        if "drawstyle" in kwargs or "ds" in kwargs:
+            raise TypeError("Cannot pass 'drawstyle' or 'ds' to ecdf()")
+        if np.ma.getmask(x).any():
+            raise ValueError("ecdf() does not support masked entries")
+        x = np.asarray(x)
+        if np.isnan(x).any():
+            raise ValueError("ecdf() does not support NaNs")
+        argsort = np.argsort(x)
+        x = x[argsort]
+        if weights is None:
+            # Ensure that we end at exactly 1, avoiding floating point errors.
+            cum_weights = (1 + np.arange(len(x))) / len(x)
+        else:
+            weights = np.take(weights, argsort)   # Reorder weights like we reordered x.
+            cum_weights = np.cumsum(weights / np.sum(weights))
+        if compress:
+            # Get indices of unique x values.
+            compress_idxs = [0, *(x[:-1] != x[1:]).nonzero()[0] + 1]
+            x = x[compress_idxs]
+            cum_weights = cum_weights[compress_idxs]
+        if orientation == "vertical":
+            if not complementary:
+                line, = self.plot([x[0], *x], [0, *cum_weights],
+                                  drawstyle="steps-post", **kwargs)
+            else:
+                line, = self.plot([*x, x[-1]], [1, *1 - cum_weights],
+                                  drawstyle="steps-pre", **kwargs)
+            line.sticky_edges.y[:] = [0, 1]
+        else:  # orientation == "horizontal":
+            if not complementary:
+                line, = self.plot([0, *cum_weights], [x[0], *x],
+                                  drawstyle="steps-pre", **kwargs)
+            else:
+                line, = self.plot([1, *1 - cum_weights], [*x, x[-1]],
+                                  drawstyle="steps-post", **kwargs)
+            line.sticky_edges.x[:] = [0, 1]
+        return line
+
+    @_api.make_keyword_only("3.10", "NFFT")
+    @_preprocess_data(replace_names=["x"])
+    @_docstring.interpd
     def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
             window=None, noverlap=None, pad_to=None,
             sides=None, scale_by_freq=None, return_line=None, **kwargs):
-        """
+        r"""
         Plot the power spectral density.
 
-        Call signature::
-
-          psd(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
-              window=mlab.window_hanning, noverlap=0, pad_to=None,
-              sides='default', scale_by_freq=None, return_line=None, **kwargs)
-
         The power spectral density :math:`P_{xx}` by Welch's average
         periodogram method.  The vector *x* is divided into *NFFT* length
         segments.  Each segment is detrended by function *detrend* and
@@ -6019,81 +7902,77 @@ def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
 
         If len(*x*) < *NFFT*, it will be zero padded to *NFFT*.
 
-          *x*: 1-D array or sequence
+        Parameters
+        ----------
+        x : 1-D array or sequence
             Array or sequence containing the data
 
         %(Spectral)s
 
         %(PSD)s
 
-          *noverlap*: integer
+        noverlap : int, default: 0 (no overlap)
             The number of points of overlap between segments.
-            The default value is 0 (no overlap).
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-          *return_line*: bool
+        return_line : bool, default: False
             Whether to include the line object plotted in the returned values.
-            Default is False.
 
-        If *return_line* is False, returns the tuple (*Pxx*, *freqs*).
-        If *return_line* is True, returns the tuple (*Pxx*, *freqs*. *line*):
-
-          *Pxx*: 1-D array
-            The values for the power spectrum `P_{xx}` before scaling
-            (real valued)
+        Returns
+        -------
+        Pxx : 1-D array
+            The values for the power spectrum :math:`P_{xx}` before scaling
+            (real valued).
 
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *Pxx*
+        freqs : 1-D array
+            The frequencies corresponding to the elements in *Pxx*.
 
-          *line*: a :class:`~matplotlib.lines.Line2D` instance
+        line : `~matplotlib.lines.Line2D`
             The line created by this function.
-            Only returend if *return_line* is True.
-
-        For plotting, the power is plotted as
-        :math:`10\log_{10}(P_{xx})` for decibels, though *Pxx* itself
-        is returned.
-
-        References:
-          Bendat & Piersol -- Random Data: Analysis and Measurement
-          Procedures, John Wiley & Sons (1986)
+            Only returned if *return_line* is True.
 
-        kwargs control the :class:`~matplotlib.lines.Line2D` properties:
-
-        %(Line2D)s
-
-        **Example:**
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        .. plot:: mpl_examples/pylab_examples/psd_demo.py
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-        .. seealso::
+            %(Line2D:kwdoc)s
 
-            :func:`specgram`
-                :func:`specgram` differs in the default overlap; in not
-                returning the mean of the segment periodograms; in  returning
-                the times of the segments; and in plotting a colormap instead
-                of a line.
+        See Also
+        --------
+        specgram
+            Differs in the default overlap; in not returning the mean of the
+            segment periodograms; in returning the times of the segments; and
+            in plotting a colormap instead of a line.
+        magnitude_spectrum
+            Plots the magnitude spectrum.
+        csd
+            Plots the spectral density between two signals.
 
-            :func:`magnitude_spectrum`
-                :func:`magnitude_spectrum` plots the magnitude spectrum.
+        Notes
+        -----
+        For plotting, the power is plotted as
+        :math:`10\log_{10}(P_{xx})` for decibels, though *Pxx* itself
+        is returned.
 
-            :func:`csd`
-                :func:`csd` plots the spectral density between two signals.
+        References
+        ----------
+        Bendat & Piersol -- Random Data: Analysis and Measurement Procedures,
+        John Wiley & Sons (1986)
         """
-        if not self._hold:
-            self.cla()
-
         if Fc is None:
             Fc = 0
 
         pxx, freqs = mlab.psd(x=x, NFFT=NFFT, Fs=Fs, detrend=detrend,
                               window=window, noverlap=noverlap, pad_to=pad_to,
                               sides=sides, scale_by_freq=scale_by_freq)
-        pxx.shape = len(freqs),
         freqs += Fc
 
         if scale_by_freq in (None, True):
@@ -6105,13 +7984,9 @@ def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
         self.set_xlabel('Frequency')
         self.set_ylabel('Power Spectral Density (%s)' % psd_units)
         self.grid(True)
-        vmin, vmax = self.viewLim.intervaly
-        intv = vmax - vmin
-        logi = int(np.log10(intv))
-        if logi == 0:
-            logi = .1
-        step = 10 * logi
-        #print vmin, vmax, step, intv, math.floor(vmin), math.ceil(vmax)+1
+
+        vmin, vmax = self.get_ybound()
+        step = max(10 * int(np.log10(vmax - vmin)), 1)
         ticks = np.arange(math.floor(vmin), math.ceil(vmax) + 1, step)
         self.set_yticks(ticks)
 
@@ -6120,19 +7995,15 @@ def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
         else:
             return pxx, freqs, line
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "NFFT")
+    @_preprocess_data(replace_names=["x", "y"], label_namer="y")
+    @_docstring.interpd
     def csd(self, x, y, NFFT=None, Fs=None, Fc=None, detrend=None,
             window=None, noverlap=None, pad_to=None,
             sides=None, scale_by_freq=None, return_line=None, **kwargs):
-        """
+        r"""
         Plot the cross-spectral density.
 
-        Call signature::
-
-          csd(x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
-              window=mlab.window_hanning, noverlap=0, pad_to=None,
-              sides='default', scale_by_freq=None, return_line=None, **kwargs)
-
         The cross spectral density :math:`P_{xy}` by Welch's average
         periodogram method.  The vectors *x* and *y* are divided into
         *NFFT* length segments.  Each segment is detrended by function
@@ -6145,84 +8016,80 @@ def csd(self, x, y, NFFT=None, Fs=None, Fc=None, detrend=None,
         If len(*x*) < *NFFT* or len(*y*) < *NFFT*, they will be zero
         padded to *NFFT*.
 
-          *x*, *y*: 1-D arrays or sequences
-            Arrays or sequences containing the data
+        Parameters
+        ----------
+        x, y : 1-D arrays or sequences
+            Arrays or sequences containing the data.
 
         %(Spectral)s
 
         %(PSD)s
 
-          *noverlap*: integer
+        noverlap : int, default: 0 (no overlap)
             The number of points of overlap between segments.
-            The default value is 0 (no overlap).
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-          *return_line*: bool
+        return_line : bool, default: False
             Whether to include the line object plotted in the returned values.
-            Default is False.
-
-        If *return_line* is False, returns the tuple (*Pxy*, *freqs*).
-        If *return_line* is True, returns the tuple (*Pxy*, *freqs*. *line*):
 
-          *Pxy*: 1-D array
-            The values for the cross spectrum `P_{xy}` before scaling
-            (complex valued)
+        Returns
+        -------
+        Pxy : 1-D array
+            The values for the cross spectrum :math:`P_{xy}` before scaling
+            (complex valued).
 
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *Pxy*
+        freqs : 1-D array
+            The frequencies corresponding to the elements in *Pxy*.
 
-          *line*: a :class:`~matplotlib.lines.Line2D` instance
+        line : `~matplotlib.lines.Line2D`
             The line created by this function.
-            Only returend if *return_line* is True.
+            Only returned if *return_line* is True.
 
-        For plotting, the power is plotted as
-        :math:`10\log_{10}(P_{xy})` for decibels, though `P_{xy}` itself
-        is returned.
-
-        References:
-          Bendat & Piersol -- Random Data: Analysis and Measurement
-          Procedures, John Wiley & Sons (1986)
-
-        kwargs control the Line2D properties:
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        %(Line2D)s
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-        **Example:**
+            %(Line2D:kwdoc)s
 
-        .. plot:: mpl_examples/pylab_examples/csd_demo.py
+        See Also
+        --------
+        psd : is equivalent to setting ``y = x``.
 
-        .. seealso::
+        Notes
+        -----
+        For plotting, the power is plotted as
+        :math:`10 \log_{10}(P_{xy})` for decibels, though :math:`P_{xy}` itself
+        is returned.
 
-            :func:`psd`
-                :func:`psd` is the equivalent to setting y=x.
+        References
+        ----------
+        Bendat & Piersol -- Random Data: Analysis and Measurement Procedures,
+        John Wiley & Sons (1986)
         """
-        if not self._hold:
-            self.cla()
-
         if Fc is None:
             Fc = 0
 
         pxy, freqs = mlab.csd(x=x, y=y, NFFT=NFFT, Fs=Fs, detrend=detrend,
                               window=window, noverlap=noverlap, pad_to=pad_to,
                               sides=sides, scale_by_freq=scale_by_freq)
-        pxy.shape = len(freqs),
         # pxy is complex
         freqs += Fc
 
-        line = self.plot(freqs, 10 * np.log10(np.absolute(pxy)), **kwargs)
+        line = self.plot(freqs, 10 * np.log10(np.abs(pxy)), **kwargs)
         self.set_xlabel('Frequency')
         self.set_ylabel('Cross Spectrum Magnitude (dB)')
         self.grid(True)
-        vmin, vmax = self.viewLim.intervaly
-
-        intv = vmax - vmin
-        step = 10 * int(np.log10(intv))
 
+        vmin, vmax = self.get_ybound()
+        step = max(10 * int(np.log10(vmax - vmin)), 1)
         ticks = np.arange(math.floor(vmin), math.ceil(vmax) + 1, step)
         self.set_yticks(ticks)
 
@@ -6231,169 +8098,150 @@ def csd(self, x, y, NFFT=None, Fs=None, Fc=None, detrend=None,
         else:
             return pxy, freqs, line
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "Fs")
+    @_preprocess_data(replace_names=["x"])
+    @_docstring.interpd
     def magnitude_spectrum(self, x, Fs=None, Fc=None, window=None,
                            pad_to=None, sides=None, scale=None,
                            **kwargs):
         """
         Plot the magnitude spectrum.
 
-        Call signature::
-
-          magnitude_spectrum(x, Fs=2, Fc=0,  window=mlab.window_hanning,
-                             pad_to=None, sides='default', **kwargs)
-
         Compute the magnitude spectrum of *x*.  Data is padded to a
         length of *pad_to* and the windowing function *window* is applied to
         the signal.
 
-          *x*: 1-D array or sequence
-            Array or sequence containing the data
+        Parameters
+        ----------
+        x : 1-D array or sequence
+            Array or sequence containing the data.
 
         %(Spectral)s
 
         %(Single_Spectrum)s
 
-          *scale*: [ 'default' | 'linear' | 'dB' ]
+        scale : {'default', 'linear', 'dB'}
             The scaling of the values in the *spec*.  'linear' is no scaling.
-            'dB' returns the values in dB scale.  When *mode* is 'density',
-            this is dB power (10 * log10).  Otherwise this is dB amplitude
+            'dB' returns the values in dB scale, i.e., the dB amplitude
             (20 * log10). 'default' is 'linear'.
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
-
-        Returns the tuple (*spectrum*, *freqs*, *line*):
-
-          *spectrum*: 1-D array
-            The values for the magnitude spectrum before scaling (real valued)
-
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *spectrum*
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-          *line*: a :class:`~matplotlib.lines.Line2D` instance
-            The line created by this function
-
-        kwargs control the :class:`~matplotlib.lines.Line2D` properties:
-
-        %(Line2D)s
-
-        **Example:**
+        Returns
+        -------
+        spectrum : 1-D array
+            The values for the magnitude spectrum before scaling (real valued).
 
-        .. plot:: mpl_examples/pylab_examples/spectrum_demo.py
+        freqs : 1-D array
+            The frequencies corresponding to the elements in *spectrum*.
 
-        .. seealso::
+        line : `~matplotlib.lines.Line2D`
+            The line created by this function.
 
-            :func:`psd`
-                :func:`psd` plots the power spectral density.`.
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-            :func:`angle_spectrum`
-                :func:`angle_spectrum` plots the angles of the corresponding
-                frequencies.
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-            :func:`phase_spectrum`
-                :func:`phase_spectrum` plots the phase (unwrapped angle) of the
-                corresponding frequencies.
+            %(Line2D:kwdoc)s
 
-            :func:`specgram`
-                :func:`specgram` can plot the magnitude spectrum of segments
-                within the signal in a colormap.
+        See Also
+        --------
+        psd
+            Plots the power spectral density.
+        angle_spectrum
+            Plots the angles of the corresponding frequencies.
+        phase_spectrum
+            Plots the phase (unwrapped angle) of the corresponding frequencies.
+        specgram
+            Can plot the magnitude spectrum of segments within the signal in a
+            colormap.
         """
-        if not self._hold:
-            self.cla()
-
         if Fc is None:
             Fc = 0
 
-        if scale is None or scale == 'default':
-            scale = 'linear'
-
         spec, freqs = mlab.magnitude_spectrum(x=x, Fs=Fs, window=window,
                                               pad_to=pad_to, sides=sides)
         freqs += Fc
 
-        if scale == 'linear':
+        yunits = _api.check_getitem(
+            {None: 'energy', 'default': 'energy', 'linear': 'energy',
+             'dB': 'dB'},
+            scale=scale)
+        if yunits == 'energy':
             Z = spec
-            yunits = 'energy'
-        elif scale == 'dB':
+        else:  # yunits == 'dB'
             Z = 20. * np.log10(spec)
-            yunits = 'dB'
-        else:
-            raise ValueError('Unknown scale %s', scale)
 
-        lines = self.plot(freqs, Z, **kwargs)
+        line, = self.plot(freqs, Z, **kwargs)
         self.set_xlabel('Frequency')
         self.set_ylabel('Magnitude (%s)' % yunits)
 
-        return spec, freqs, lines[0]
+        return spec, freqs, line
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "Fs")
+    @_preprocess_data(replace_names=["x"])
+    @_docstring.interpd
     def angle_spectrum(self, x, Fs=None, Fc=None, window=None,
                        pad_to=None, sides=None, **kwargs):
         """
         Plot the angle spectrum.
 
-        Call signature::
-
-          angle_spectrum(x, Fs=2, Fc=0,  window=mlab.window_hanning,
-                         pad_to=None, sides='default', **kwargs)
-
         Compute the angle spectrum (wrapped phase spectrum) of *x*.
         Data is padded to a length of *pad_to* and the windowing function
         *window* is applied to the signal.
 
-          *x*: 1-D array or sequence
-            Array or sequence containing the data
+        Parameters
+        ----------
+        x : 1-D array or sequence
+            Array or sequence containing the data.
 
         %(Spectral)s
 
         %(Single_Spectrum)s
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
-
-        Returns the tuple (*spectrum*, *freqs*, *line*):
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-          *spectrum*: 1-D array
-            The values for the angle spectrum in radians (real valued)
-
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *spectrum*
-
-          *line*: a :class:`~matplotlib.lines.Line2D` instance
-            The line created by this function
-
-        kwargs control the :class:`~matplotlib.lines.Line2D` properties:
-
-        %(Line2D)s
+        Returns
+        -------
+        spectrum : 1-D array
+            The values for the angle spectrum in radians (real valued).
 
-        **Example:**
+        freqs : 1-D array
+            The frequencies corresponding to the elements in *spectrum*.
 
-        .. plot:: mpl_examples/pylab_examples/spectrum_demo.py
+        line : `~matplotlib.lines.Line2D`
+            The line created by this function.
 
-        .. seealso::
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-            :func:`magnitude_spectrum`
-                :func:`angle_spectrum` plots the magnitudes of the
-                corresponding frequencies.
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-            :func:`phase_spectrum`
-                :func:`phase_spectrum` plots the unwrapped version of this
-                function.
+            %(Line2D:kwdoc)s
 
-            :func:`specgram`
-                :func:`specgram` can plot the angle spectrum of segments
-                within the signal in a colormap.
+        See Also
+        --------
+        magnitude_spectrum
+            Plots the magnitudes of the corresponding frequencies.
+        phase_spectrum
+            Plots the unwrapped version of this function.
+        specgram
+            Can plot the angle spectrum of segments within the signal in a
+            colormap.
         """
-        if not self._hold:
-            self.cla()
-
         if Fc is None:
             Fc = 0
 
@@ -6407,70 +8255,63 @@ def angle_spectrum(self, x, Fs=None, Fc=None, window=None,
 
         return spec, freqs, lines[0]
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "Fs")
+    @_preprocess_data(replace_names=["x"])
+    @_docstring.interpd
     def phase_spectrum(self, x, Fs=None, Fc=None, window=None,
                        pad_to=None, sides=None, **kwargs):
         """
         Plot the phase spectrum.
 
-        Call signature::
-
-          phase_spectrum(x, Fs=2, Fc=0,  window=mlab.window_hanning,
-                         pad_to=None, sides='default', **kwargs)
-
         Compute the phase spectrum (unwrapped angle spectrum) of *x*.
         Data is padded to a length of *pad_to* and the windowing function
         *window* is applied to the signal.
 
-          *x*: 1-D array or sequence
+        Parameters
+        ----------
+        x : 1-D array or sequence
             Array or sequence containing the data
 
         %(Spectral)s
 
         %(Single_Spectrum)s
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
-
-        Returns the tuple (*spectrum*, *freqs*, *line*):
-
-          *spectrum*: 1-D array
-            The values for the phase spectrum in radians (real valued)
-
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *spectrum*
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-          *line*: a :class:`~matplotlib.lines.Line2D` instance
-            The line created by this function
-
-        kwargs control the :class:`~matplotlib.lines.Line2D` properties:
-
-        %(Line2D)s
+        Returns
+        -------
+        spectrum : 1-D array
+            The values for the phase spectrum in radians (real valued).
 
-        **Example:**
+        freqs : 1-D array
+            The frequencies corresponding to the elements in *spectrum*.
 
-        .. plot:: mpl_examples/pylab_examples/spectrum_demo.py
+        line : `~matplotlib.lines.Line2D`
+            The line created by this function.
 
-        .. seealso::
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-            :func:`magnitude_spectrum`
-                :func:`magnitude_spectrum` plots the magnitudes of the
-                corresponding frequencies.
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-            :func:`angle_spectrum`
-                :func:`angle_spectrum` plots the wrapped version of this
-                function.
+            %(Line2D:kwdoc)s
 
-            :func:`specgram`
-                :func:`specgram` can plot the phase spectrum of segments
-                within the signal in a colormap.
+        See Also
+        --------
+        magnitude_spectrum
+            Plots the magnitudes of the corresponding frequencies.
+        angle_spectrum
+            Plots the wrapped version of this function.
+        specgram
+            Can plot the phase spectrum of segments within the signal in a
+            colormap.
         """
-        if not self._hold:
-            self.cla()
-
         if Fc is None:
             Fc = 0
 
@@ -6484,64 +8325,62 @@ def phase_spectrum(self, x, Fs=None, Fc=None, window=None,
 
         return spec, freqs, lines[0]
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "NFFT")
+    @_preprocess_data(replace_names=["x", "y"])
+    @_docstring.interpd
     def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
                window=mlab.window_hanning, noverlap=0, pad_to=None,
                sides='default', scale_by_freq=None, **kwargs):
-        """
+        r"""
         Plot the coherence between *x* and *y*.
 
-        Call signature::
-
-          cohere(x, y, NFFT=256, Fs=2, Fc=0, detrend = mlab.detrend_none,
-                 window = mlab.window_hanning, noverlap=0, pad_to=None,
-                 sides='default', scale_by_freq=None, **kwargs)
-
-        Plot the coherence between *x* and *y*.  Coherence is the
-        normalized cross spectral density:
+        Coherence is the normalized cross spectral density:
 
         .. math::
 
-          C_{xy} = \\frac{|P_{xy}|^2}{P_{xx}P_{yy}}
+          C_{xy} = \frac{|P_{xy}|^2}{P_{xx}P_{yy}}
 
+        Parameters
+        ----------
         %(Spectral)s
 
         %(PSD)s
 
-          *noverlap*: integer
-            The number of points of overlap between blocks.  The
-            default value is 0 (no overlap).
-
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
+        noverlap : int, default: 0 (no overlap)
+            The number of points of overlap between blocks.
 
-        The return value is a tuple (*Cxy*, *f*), where *f* are the
-        frequencies of the coherence vector.
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-        kwargs are applied to the lines.
-
-        References:
+        Returns
+        -------
+        Cxy : 1-D array
+            The coherence vector.
 
-          * Bendat & Piersol -- Random Data: Analysis and Measurement
-            Procedures, John Wiley & Sons (1986)
+        freqs : 1-D array
+            The frequencies for the elements in *Cxy*.
 
-        kwargs control the :class:`~matplotlib.lines.Line2D`
-        properties of the coherence plot:
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-        %(Line2D)s
+        **kwargs
+            Keyword arguments control the `.Line2D` properties:
 
-        **Example:**
+            %(Line2D:kwdoc)s
 
-        .. plot:: mpl_examples/pylab_examples/cohere_demo.py
+        References
+        ----------
+        Bendat & Piersol -- Random Data: Analysis and Measurement Procedures,
+        John Wiley & Sons (1986)
         """
-        if not self._hold:
-            self.cla()
         cxy, freqs = mlab.cohere(x=x, y=y, NFFT=NFFT, Fs=Fs, detrend=detrend,
                                  window=window, noverlap=noverlap,
-                                 scale_by_freq=scale_by_freq)
+                                 scale_by_freq=scale_by_freq, sides=sides,
+                                 pad_to=pad_to)
         freqs += Fc
 
         self.plot(freqs, cxy, **kwargs)
@@ -6551,7 +8390,9 @@ def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
 
         return cxy, freqs
 
-    @docstring.dedent_interpd
+    @_api.make_keyword_only("3.10", "NFFT")
+    @_preprocess_data(replace_names=["x"])
+    @_docstring.interpd
     def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
                  window=None, noverlap=None,
                  cmap=None, xextent=None, pad_to=None, sides=None,
@@ -6560,14 +8401,6 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
         """
         Plot a spectrogram.
 
-        Call signature::
-
-          specgram(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
-                   window=mlab.window_hanning, noverlap=128,
-                   cmap=None, xextent=None, pad_to=None, sides='default',
-                   scale_by_freq=None, mode='default', scale='default',
-                   **kwargs)
-
         Compute and plot a spectrogram of data in *x*.  Data are split into
         *NFFT* length segments and the spectrum of each section is
         computed.  The windowing function *window* is applied to each
@@ -6575,99 +8408,102 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
         specified with *noverlap*. The spectrogram is plotted as a colormap
         (using imshow).
 
-        *x*: 1-D array or sequence
-            Array or sequence containing the data
+        Parameters
+        ----------
+        x : 1-D array or sequence
+            Array or sequence containing the data.
 
         %(Spectral)s
 
         %(PSD)s
 
-          *mode*: [ 'default' | 'psd' | 'magnitude' | 'angle' | 'phase' ]
-            What sort of spectrum to use.  Default is 'psd'. which takes
-            the power spectral density.  'complex' returns the complex-valued
-            frequency spectrum.  'magnitude' returns the magnitude spectrum.
-            'angle' returns the phase spectrum without unwrapping.  'phase'
-            returns the phase spectrum with unwrapping.
+        mode : {'default', 'psd', 'magnitude', 'angle', 'phase'}
+            What sort of spectrum to use.  Default is 'psd', which takes the
+            power spectral density.  'magnitude' returns the magnitude
+            spectrum.  'angle' returns the phase spectrum without unwrapping.
+            'phase' returns the phase spectrum with unwrapping.
 
-          *noverlap*: integer
-            The number of points of overlap between blocks.  The
-            default value is 128.
+        noverlap : int, default: 128
+            The number of points of overlap between blocks.
 
-          *scale*: [ 'default' | 'linear' | 'dB' ]
+        scale : {'default', 'linear', 'dB'}
             The scaling of the values in the *spec*.  'linear' is no scaling.
             'dB' returns the values in dB scale.  When *mode* is 'psd',
-            this is dB power (10 * log10).  Otherwise this is dB amplitude
+            this is dB power (10 * log10).  Otherwise, this is dB amplitude
             (20 * log10). 'default' is 'dB' if *mode* is 'psd' or
             'magnitude' and 'linear' otherwise.  This must be 'linear'
             if *mode* is 'angle' or 'phase'.
 
-          *Fc*: integer
-            The center frequency of *x* (defaults to 0), which offsets
-            the x extents of the plot to reflect the frequency range used
-            when a signal is acquired and then filtered and downsampled to
-            baseband.
-
-          *cmap*:
-            A :class:`matplotlib.colors.Colormap` instance; if *None*, use
-            default determined by rc
-
-          *xextent*:
-            The image extent along the x-axis. xextent = (xmin,xmax)
-            The default is (0,max(bins)), where bins is the return
-            value from :func:`~matplotlib.mlab.specgram`
-
-          *kwargs*:
-            Additional kwargs are passed on to imshow which makes the
-            specgram image
-
-        .. note::
-
-            *detrend* and *scale_by_freq* only apply when *mode* is set to
-            'psd'
+        Fc : int, default: 0
+            The center frequency of *x*, which offsets the x extents of the
+            plot to reflect the frequency range used when a signal is acquired
+            and then filtered and downsampled to baseband.
 
-        Returns the tuple (*spectrum*, *freqs*, *t*, *im*):
+        cmap : `.Colormap`, default: :rc:`image.cmap`
 
-          *spectrum*: 2-D array
-            columns are the periodograms of successive segments
+        xextent : *None* or (xmin, xmax)
+            The image extent along the x-axis. The default sets *xmin* to the
+            left border of the first bin (*spectrum* column) and *xmax* to the
+            right border of the last bin. Note that for *noverlap>0* the width
+            of the bins is smaller than those of the segments.
 
-          *freqs*: 1-D array
-            The frequencies corresponding to the rows in *spectrum*
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
-          *t*: 1-D array
-            The times corresponding to midpoints of segments (i.e the columns
-            in *spectrum*)
+        vmin, vmax : float, optional
+            vmin and vmax define the data range that the colormap covers.
+            By default, the colormap covers the complete value range of the
+            data.
 
-          *im*: instance of class :class:`~matplotlib.image.AxesImage`
-            The image created by imshow containing the spectrogram
+        **kwargs
+            Additional keyword arguments are passed on to `~.axes.Axes.imshow`
+            which makes the specgram image. The origin keyword argument
+            is not supported.
 
-        **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/specgram_demo.py
+        Returns
+        -------
+        spectrum : 2D array
+            Columns are the periodograms of successive segments.
 
-        .. seealso::
+        freqs : 1-D array
+            The frequencies corresponding to the rows in *spectrum*.
 
-            :func:`psd`
-                :func:`psd` differs in the default overlap; in returning
-                the mean of the segment periodograms; in not returning
-                times; and in generating a line plot instead of colormap.
+        t : 1-D array
+            The times corresponding to midpoints of segments (i.e., the columns
+            in *spectrum*).
 
-            :func:`magnitude_spectrum`
-                A single spectrum, similar to having a single segment when
-                *mode* is 'magnitude'.  Plots a line instead of a colormap.
+        im : `.AxesImage`
+            The image created by imshow containing the spectrogram.
 
-            :func:`angle_spectrum`
-                A single spectrum, similar to having a single segment when
-                *mode* is 'angle'.  Plots a line instead of a colormap.
+        See Also
+        --------
+        psd
+            Differs in the default overlap; in returning the mean of the
+            segment periodograms; in not returning times; and in generating a
+            line plot instead of colormap.
+        magnitude_spectrum
+            A single spectrum, similar to having a single segment when *mode*
+            is 'magnitude'. Plots a line instead of a colormap.
+        angle_spectrum
+            A single spectrum, similar to having a single segment when *mode*
+            is 'angle'. Plots a line instead of a colormap.
+        phase_spectrum
+            A single spectrum, similar to having a single segment when *mode*
+            is 'phase'. Plots a line instead of a colormap.
 
-            :func:`phase_spectrum`
-                A single spectrum, similar to having a single segment when
-                *mode* is 'phase'.  Plots a line instead of a colormap.
+        Notes
+        -----
+        The parameters *detrend* and *scale_by_freq* do only apply when *mode*
+        is set to 'psd'.
         """
-        if not self._hold:
-            self.cla()
-
+        if NFFT is None:
+            NFFT = 256  # same default as in mlab.specgram()
         if Fc is None:
-            Fc = 0
+            Fc = 0  # same default as in mlab._spectral_helper()
+        if noverlap is None:
+            noverlap = 128  # same default as in mlab.specgram()
+        if Fs is None:
+            Fs = 2  # same default as in mlab._spectral_helper()
 
         if mode == 'complex':
             raise ValueError('Cannot plot a complex specgram')
@@ -6695,93 +8531,124 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
             else:
                 Z = 20. * np.log10(spec)
         else:
-            raise ValueError('Unknown scale %s', scale)
+            raise ValueError(f'Unknown scale {scale!r}')
 
         Z = np.flipud(Z)
 
         if xextent is None:
-            xextent = 0, np.amax(t)
+            # padding is needed for first and last segment:
+            pad_xextent = (NFFT-noverlap) / Fs / 2
+            xextent = np.min(t) - pad_xextent, np.max(t) + pad_xextent
         xmin, xmax = xextent
         freqs += Fc
         extent = xmin, xmax, freqs[0], freqs[-1]
+
+        if 'origin' in kwargs:
+            raise _api.kwarg_error("specgram", "origin")
+
         im = self.imshow(Z, cmap, extent=extent, vmin=vmin, vmax=vmax,
-                         **kwargs)
+                         origin='upper', **kwargs)
         self.axis('auto')
 
         return spec, freqs, t, im
 
+    @_api.make_keyword_only("3.10", "precision")
+    @_docstring.interpd
     def spy(self, Z, precision=0, marker=None, markersize=None,
             aspect='equal', origin="upper", **kwargs):
         """
-        Plot the sparsity pattern on a 2-D array.
+        Plot the sparsity pattern of a 2D array.
+
+        This visualizes the non-zero values of the array.
+
+        Two plotting styles are available: image and marker. Both
+        are available for full arrays, but only the marker style
+        works for `scipy.sparse.spmatrix` instances.
+
+        **Image style**
+
+        If *marker* and *markersize* are *None*, `~.Axes.imshow` is used. Any
+        extra remaining keyword arguments are passed to this method.
 
-        ``spy(Z)`` plots the sparsity pattern of the 2-D array *Z*.
+        **Marker style**
+
+        If *Z* is a `scipy.sparse.spmatrix` or *marker* or *markersize* are
+        *None*, a `.Line2D` object will be returned with the value of marker
+        determining the marker type, and any remaining keyword arguments
+        passed to `~.Axes.plot`.
 
         Parameters
         ----------
-
-        Z : sparse array (n, m)
+        Z : (M, N) array-like
             The array to be plotted.
 
-        precision : float, optional, default: 0
-            If *precision* is 0, any non-zero value will be plotted; else,
+        precision : float or 'present', default: 0
+            If *precision* is 0, any non-zero value will be plotted. Otherwise,
             values of :math:`|Z| > precision` will be plotted.
 
-            For :class:`scipy.sparse.spmatrix` instances, there is a special
-            case: if *precision* is 'present', any value present in the array
+            For `scipy.sparse.spmatrix` instances, you can also
+            pass 'present'. In this case any value present in the array
             will be plotted, even if it is identically zero.
 
-        origin : ["upper", "lower"], optional, default: "upper"
-            Place the [0,0] index of the array in the upper left or lower left
-            corner of the axes.
+        aspect : {'equal', 'auto', None} or float, default: 'equal'
+            The aspect ratio of the Axes.  This parameter is particularly
+            relevant for images since it determines whether data pixels are
+            square.
 
-        aspect : ['auto' | 'equal' | scalar], optional, default: "equal"
+            This parameter is a shortcut for explicitly calling
+            `.Axes.set_aspect`. See there for further details.
 
-            If 'equal', and `extent` is None, changes the axes aspect ratio to
-            match that of the image. If `extent` is not `None`, the axes
-            aspect ratio is changed to match that of the extent.
+            - 'equal': Ensures an aspect ratio of 1. Pixels will be square.
+            - 'auto': The Axes is kept fixed and the aspect is adjusted so
+              that the data fit in the Axes. In general, this will result in
+              non-square pixels.
+            - *None*: Use :rc:`image.aspect`.
 
+        origin : {'upper', 'lower'}, default: :rc:`image.origin`
+            Place the [0, 0] index of the array in the upper left or lower left
+            corner of the Axes. The convention 'upper' is typically used for
+            matrices and images.
 
-            If 'auto', changes the image aspect ratio to match that of the
-            axes.
-
-            If None, default to rc ``image.aspect`` value.
+        Returns
+        -------
+        `~matplotlib.image.AxesImage` or `.Line2D`
+            The return type depends on the plotting style (see above).
 
-        Two plotting styles are available: image or marker. Both
-        are available for full arrays, but only the marker style
-        works for :class:`scipy.sparse.spmatrix` instances.
+        Other Parameters
+        ----------------
+        **kwargs
+            The supported additional parameters depend on the plotting style.
 
-        If *marker* and *markersize* are *None*, an image will be
-        returned and any remaining kwargs are passed to
-        :func:`~matplotlib.pyplot.imshow`; else, a
-        :class:`~matplotlib.lines.Line2D` object will be returned with
-        the value of marker determining the marker type, and any
-        remaining kwargs passed to the
-        :meth:`~matplotlib.axes.Axes.plot` method.
+            For the image style, you can pass the following additional
+            parameters of `~.Axes.imshow`:
 
-        If *marker* and *markersize* are *None*, useful kwargs include:
+            - *cmap*
+            - *alpha*
+            - *url*
+            - any `.Artist` properties (passed on to the `.AxesImage`)
 
-        * *cmap*
-        * *alpha*
+            For the marker style, you can pass any `.Line2D` property except
+            for *linestyle*:
 
-        See also
-        --------
-        imshow : for image options.
-        plot : for plotting options
+            %(Line2D:kwdoc)s
         """
         if marker is None and markersize is None and hasattr(Z, 'tocoo'):
             marker = 's'
+        _api.check_in_list(["upper", "lower"], origin=origin)
         if marker is None and markersize is None:
             Z = np.asarray(Z)
-            mask = np.absolute(Z) > precision
+            mask = np.abs(Z) > precision
 
             if 'cmap' not in kwargs:
                 kwargs['cmap'] = mcolors.ListedColormap(['w', 'k'],
                                                         name='binary')
-            nr, nc = Z.shape
-            extent = [-0.5, nc - 0.5, nr - 0.5, -0.5]
-            ret = self.imshow(mask, interpolation='nearest', aspect=aspect,
-                                extent=extent, origin=origin, **kwargs)
+            if 'interpolation' in kwargs:
+                raise _api.kwarg_error("spy", "interpolation")
+            if 'norm' not in kwargs:
+                kwargs['norm'] = mcolors.NoNorm()
+            ret = self.imshow(mask, interpolation='nearest',
+                              aspect=aspect, origin=origin,
+                              **kwargs)
         else:
             if hasattr(Z, 'tocoo'):
                 c = Z.tocoo()
@@ -6789,279 +8656,352 @@ def spy(self, Z, precision=0, marker=None, markersize=None,
                     y = c.row
                     x = c.col
                 else:
-                    nonzero = np.absolute(c.data) > precision
+                    nonzero = np.abs(c.data) > precision
                     y = c.row[nonzero]
                     x = c.col[nonzero]
             else:
                 Z = np.asarray(Z)
-                nonzero = np.absolute(Z) > precision
+                nonzero = np.abs(Z) > precision
                 y, x = np.nonzero(nonzero)
             if marker is None:
                 marker = 's'
             if markersize is None:
                 markersize = 10
-            marks = mlines.Line2D(x, y, linestyle='None',
-                         marker=marker, markersize=markersize, **kwargs)
-            self.add_line(marks)
+            if 'linestyle' in kwargs:
+                raise _api.kwarg_error("spy", "linestyle")
+            ret = mlines.Line2D(
+                x, y, linestyle='None', marker=marker, markersize=markersize,
+                **kwargs)
+            self.add_line(ret)
             nr, nc = Z.shape
-            self.set_xlim(xmin=-0.5, xmax=nc - 0.5)
-            self.set_ylim(ymin=nr - 0.5, ymax=-0.5)
+            self.set_xlim(-0.5, nc - 0.5)
+            if origin == "upper":
+                self.set_ylim(nr - 0.5, -0.5)
+            else:
+                self.set_ylim(-0.5, nr - 0.5)
             self.set_aspect(aspect)
-            ret = marks
         self.title.set_y(1.05)
-        self.xaxis.tick_top()
+        if origin == "upper":
+            self.xaxis.tick_top()
+        else:  # lower
+            self.xaxis.tick_bottom()
         self.xaxis.set_ticks_position('both')
-        self.xaxis.set_major_locator(mticker.MaxNLocator(nbins=9,
-                                                 steps=[1, 2, 5, 10],
-                                                 integer=True))
-        self.yaxis.set_major_locator(mticker.MaxNLocator(nbins=9,
-                                                 steps=[1, 2, 5, 10],
-                                                 integer=True))
+        self.xaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True))
+        self.yaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True))
         return ret
 
     def matshow(self, Z, **kwargs):
         """
-        Plot a matrix or array as an image.
+        Plot the values of a 2D matrix or array as color-coded image.
 
         The matrix will be shown the way it would be printed, with the first
         row at the top.  Row and column numbering is zero-based.
 
         Parameters
         ----------
-        Z : array_like shape (n, m)
+        Z : (M, N) array-like
             The matrix to be displayed.
 
         Returns
         -------
-        image : `~matplotlib.image.AxesImage`
+        `~matplotlib.image.AxesImage`
 
-        Other parameters
+        Other Parameters
         ----------------
-        kwargs : `~matplotlib.axes.Axes.imshow` arguments
-            Sets `origin` to 'upper', 'interpolation' to 'nearest' and
-            'aspect' to equal.
+        **kwargs : `~matplotlib.axes.Axes.imshow` arguments
 
-        See also
+        See Also
         --------
-        imshow : plot an image
+        imshow : More general function to plot data on a 2D regular raster.
 
-        Examples
-        --------
-        .. plot:: mpl_examples/pylab_examples/matshow.py
+        Notes
+        -----
+        This is just a convenience function wrapping `.imshow` to set useful
+        defaults for displaying a matrix. In particular:
+
+        - Set ``origin='upper'``.
+        - Set ``interpolation='nearest'``.
+        - Set ``aspect='equal'``.
+        - Ticks are placed to the left and above.
+        - Ticks are formatted to show integer indices.
 
         """
         Z = np.asanyarray(Z)
-        nr, nc = Z.shape
         kw = {'origin': 'upper',
               'interpolation': 'nearest',
-              'aspect': 'equal'}          # (already the imshow default)
-        kw.update(kwargs)
+              'aspect': 'equal',          # (already the imshow default)
+              **kwargs}
         im = self.imshow(Z, **kw)
         self.title.set_y(1.05)
         self.xaxis.tick_top()
         self.xaxis.set_ticks_position('both')
-        self.xaxis.set_major_locator(mticker.MaxNLocator(nbins=9,
-                                                 steps=[1, 2, 5, 10],
-                                                 integer=True))
-        self.yaxis.set_major_locator(mticker.MaxNLocator(nbins=9,
-                                                 steps=[1, 2, 5, 10],
-                                                 integer=True))
+        self.xaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True))
+        self.yaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True))
         return im
 
-    def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
-                   showmeans=False, showextrema=True, showmedians=False,
-                   points=100, bw_method=None):
-        """Make a violin plot.
-
-        Call signature::
-
-          violinplot(dataset, positions=None, vert=True, widths=0.5,
-                     showmeans=False, showextrema=True, showmedians=False,
-                     points=100, bw_method=None):
+    @_api.make_keyword_only("3.10", "vert")
+    @_preprocess_data(replace_names=["dataset"])
+    def violinplot(self, dataset, positions=None, vert=None,
+                   orientation='vertical', widths=0.5, showmeans=False,
+                   showextrema=True, showmedians=False, quantiles=None,
+                   points=100, bw_method=None, side='both',
+                   facecolor=None, linecolor=None):
+        """
+        Make a violin plot.
 
         Make a violin plot for each column of *dataset* or each vector in
         sequence *dataset*.  Each filled area extends to represent the
         entire data range, with optional lines at the mean, the median,
-        the minimum, and the maximum.
+        the minimum, the maximum, and user-specified quantiles.
 
         Parameters
         ----------
         dataset : Array or a sequence of vectors.
-          The input data.
+            The input data.
+
+        positions : array-like, default: [1, 2, ..., n]
+            The positions of the violins; i.e. coordinates on the x-axis for
+            vertical violins (or y-axis for horizontal violins).
+
+        vert : bool, optional
+            .. deprecated:: 3.10
+                Use *orientation* instead.
+
+                If this is given during the deprecation period, it overrides
+                the *orientation* parameter.
+
+            If True, plots the violins vertically.
+            If False, plots the violins horizontally.
+
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            If 'horizontal', plots the violins horizontally.
+            Otherwise, plots the violins vertically.
+
+            .. versionadded:: 3.10
+
+        widths : float or array-like, default: 0.5
+            The maximum width of each violin in units of the *positions* axis.
+            The default is 0.5, which is half the available space when using default
+            *positions*.
+
+        showmeans : bool, default: False
+            Whether to show the mean with a line.
+
+        showextrema : bool, default: True
+            Whether to show extrema with a line.
 
-        positions : array-like, default = [1, 2, ..., n]
-          Sets the positions of the violins. The ticks and limits are
-          automatically set to match the positions.
+        showmedians : bool, default: False
+            Whether to show the median with a line.
 
-        vert : bool, default = True.
-          If true, creates a vertical violin plot.
-          Otherwise, creates a horizontal violin plot.
+        quantiles : array-like, default: None
+            If not None, set a list of floats in interval [0, 1] for each violin,
+            which stands for the quantiles that will be rendered for that
+            violin.
 
-        widths : array-like, default = 0.5
-          Either a scalar or a vector that sets the maximal width of
-          each violin. The default is 0.5, which uses about half of the
-          available horizontal space.
+        points : int, default: 100
+            The number of points to evaluate each of the gaussian kernel density
+            estimations at.
 
-        showmeans : bool, default = False
-          If `True`, will toggle rendering of the means.
+        bw_method : {'scott', 'silverman'} or float or callable, default: 'scott'
+            The method used to calculate the estimator bandwidth.  If a
+            float, this will be used directly as `!kde.factor`.  If a
+            callable, it should take a `matplotlib.mlab.GaussianKDE` instance as
+            its only parameter and return a float.
 
-        showextrema : bool, default = True
-          If `True`, will toggle rendering of the extrema.
+        side : {'both', 'low', 'high'}, default: 'both'
+            'both' plots standard violins. 'low'/'high' only
+            plots the side below/above the positions value.
 
-        showmedians : bool, default = False
-          If `True`, will toggle rendering of the medians.
+        facecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            If provided, will set the face color(s) of the violins.
 
-        points : scalar, default = 100
-          Defines the number of points to evaluate each of the
-          gaussian kernel density estimations at.
+            .. versionadded:: 3.11
 
-        bw_method : str, scalar or callable, optional
-          The method used to calculate the estimator bandwidth.  This can be
-          'scott', 'silverman', a scalar constant or a callable.  If a
-          scalar, this will be used directly as `kde.factor`.  If a
-          callable, it should take a `GaussianKDE` instance as its only
-          parameter and return a scalar. If None (default), 'scott' is used.
+        linecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            If provided, will set the line color(s) of the violins (the
+            horizontal and vertical spines and body edges).
+
+            .. versionadded:: 3.11
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
         Returns
         -------
+        dict
+            A dictionary mapping each component of the violinplot to a
+            list of the corresponding collection instances created. The
+            dictionary has the following keys:
 
-        result : dict
-          A dictionary mapping each component of the violinplot to a
-          list of the corresponding collection instances created. The
-          dictionary has the following keys:
+            - ``bodies``: A list of the `~.collections.PolyCollection`
+              instances containing the filled area of each violin.
 
-            - ``bodies``: A list of the
-              :class:`matplotlib.collections.PolyCollection` instances
-              containing the filled area of each violin.
+            - ``cmeans``: A `~.collections.LineCollection` instance that marks
+              the mean values of each of the violin's distribution.
 
-            - ``means``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the mean values of each of the
-              violin's distribution.
+            - ``cmins``: A `~.collections.LineCollection` instance that marks
+              the bottom of each violin's distribution.
 
-            - ``mins``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the bottom of each violin's
-              distribution.
+            - ``cmaxes``: A `~.collections.LineCollection` instance that marks
+              the top of each violin's distribution.
 
-            - ``maxes``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the top of each violin's
-              distribution.
+            - ``cbars``: A `~.collections.LineCollection` instance that marks
+              the centers of each violin's distribution.
 
-            - ``bars``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the centers of each violin's
+            - ``cmedians``: A `~.collections.LineCollection` instance that
+              marks the median values of each of the violin's distribution.
+
+            - ``cquantiles``: A `~.collections.LineCollection` instance created
+              to identify the quantile values of each of the violin's
               distribution.
 
-            - ``medians``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the median values of each of the
-              violin's distribution.
+        See Also
+        --------
+        .Axes.violin : Draw a violin from pre-computed statistics.
+        boxplot : Draw a box and whisker plot.
         """
 
         def _kde_method(X, coords):
+            # Unpack in case of e.g. Pandas or xarray object
+            X = cbook._unpack_to_numpy(X)
+            # fallback gracefully if the vector contains only one value
+            if np.all(X[0] == X):
+                return (X[0] == coords).astype(float)
             kde = mlab.GaussianKDE(X, bw_method)
             return kde.evaluate(coords)
 
-        vpstats = cbook.violin_stats(dataset, _kde_method, points=points)
+        vpstats = cbook.violin_stats(dataset, _kde_method, points=points,
+                                     quantiles=quantiles)
         return self.violin(vpstats, positions=positions, vert=vert,
-                           widths=widths, showmeans=showmeans,
-                           showextrema=showextrema, showmedians=showmedians)
-
-    def violin(self, vpstats, positions=None, vert=True, widths=0.5,
-               showmeans=False, showextrema=True, showmedians=False):
-        """Drawing function for violin plots.
-
-        Call signature::
-
-          violin(vpstats, positions=None, vert=True, widths=0.5,
-                 showmeans=False, showextrema=True, showmedians=False):
+                           orientation=orientation, widths=widths,
+                           showmeans=showmeans, showextrema=showextrema,
+                           showmedians=showmedians, side=side,
+                           facecolor=facecolor, linecolor=linecolor)
+
+    @_api.make_keyword_only("3.10", "vert")
+    def violin(self, vpstats, positions=None, vert=None,
+               orientation='vertical', widths=0.5, showmeans=False,
+               showextrema=True, showmedians=False, side='both',
+               facecolor=None, linecolor=None):
+        """
+        Draw a violin plot from pre-computed statistics.
 
-        Draw a violin plot for each column of `vpstats`. Each filled area
+        Draw a violin plot for each column of *vpstats*. Each filled area
         extends to represent the entire data range, with optional lines at the
-        mean, the median, the minimum, and the maximum.
+        mean, the median, the minimum, the maximum, and the quantiles values.
 
         Parameters
         ----------
-
         vpstats : list of dicts
-          A list of dictionaries containing stats for each violin plot.
-          Required keys are:
+            A list of dictionaries containing stats for each violin plot.
+            Required keys are:
+
+            - ``coords``: A list of scalars containing the coordinates that
+              the violin's kernel density estimate were evaluated at.
+
+            - ``vals``: A list of scalars containing the values of the
+              kernel density estimate at each of the coordinates given
+              in *coords*.
+
+            - ``mean``: The mean value for this violin's dataset.
+
+            - ``median``: The median value for this violin's dataset.
 
-          - ``coords``: A list of scalars containing the coordinates that
-            the violin's kernel density estimate were evaluated at.
+            - ``min``: The minimum value for this violin's dataset.
 
-          - ``vals``: A list of scalars containing the values of the
-            kernel density estimate at each of the coordinates given
-            in *coords*.
+            - ``max``: The maximum value for this violin's dataset.
 
-          - ``mean``: The mean value for this violin's dataset.
+            Optional keys are:
 
-          - ``median``: The median value for this violin's dataset.
+            - ``quantiles``: A list of scalars containing the quantile values
+              for this violin's dataset.
 
-          - ``min``: The minimum value for this violin's dataset.
+        positions : array-like, default: [1, 2, ..., n]
+            The positions of the violins; i.e. coordinates on the x-axis for
+            vertical violins (or y-axis for horizontal violins).
 
-          - ``max``: The maximum value for this violin's dataset.
+        vert : bool, optional
+            .. deprecated:: 3.10
+                Use *orientation* instead.
 
-        positions : array-like, default = [1, 2, ..., n]
-          Sets the positions of the violins. The ticks and limits are
-          automatically set to match the positions.
+                If this is given during the deprecation period, it overrides
+                the *orientation* parameter.
 
-        vert : bool, default = True.
-          If true, plots the violins veritcally.
-          Otherwise, plots the violins horizontally.
+            If True, plots the violins vertically.
+            If False, plots the violins horizontally.
 
-        widths : array-like, default = 0.5
-          Either a scalar or a vector that sets the maximal width of
-          each violin. The default is 0.5, which uses about half of the
-          available horizontal space.
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            If 'horizontal', plots the violins horizontally.
+            Otherwise, plots the violins vertically.
 
-        showmeans : bool, default = False
-          If true, will toggle rendering of the means.
+            .. versionadded:: 3.10
 
-        showextrema : bool, default = True
-          If true, will toggle rendering of the extrema.
+        widths : float or array-like, default: 0.5
+            The maximum width of each violin in units of the *positions* axis.
+            The default is 0.5, which is half available space when using default
+            *positions*.
 
-        showmedians : bool, default = False
-          If true, will toggle rendering of the medians.
+        showmeans : bool, default: False
+            Whether to show the mean with a line.
+
+        showextrema : bool, default: True
+            Whether to show extrema with a line.
+
+        showmedians : bool, default: False
+            Whether to show the median with a line.
+
+        side : {'both', 'low', 'high'}, default: 'both'
+            'both' plots standard violins. 'low'/'high' only
+            plots the side below/above the positions value.
+
+        facecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            If provided, will set the face color(s) of the violins.
+
+            .. versionadded:: 3.11
+
+        linecolor : :mpltype:`color` or list of :mpltype:`color`, optional
+            If provided, will set the line color(s) of the violins (the
+            horizontal and vertical spines and body edges).
+
+            .. versionadded:: 3.11
 
         Returns
         -------
-        result : dict
-          A dictionary mapping each component of the violinplot to a
-          list of the corresponding collection instances created. The
-          dictionary has the following keys:
-
-            - ``bodies``: A list of the
-              :class:`matplotlib.collections.PolyCollection` instances
-              containing the filled area of each violin.
-
-            - ``means``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the mean values of each of the
-              violin's distribution.
-
-            - ``mins``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the bottom of each violin's
-              distribution.
+        dict
+            A dictionary mapping each component of the violinplot to a
+            list of the corresponding collection instances created. The
+            dictionary has the following keys:
 
-            - ``maxes``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the top of each violin's
-              distribution.
+            - ``bodies``: A list of the `~.collections.PolyCollection`
+              instances containing the filled area of each violin.
 
-            - ``bars``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the centers of each violin's
-              distribution.
+            - ``cmeans``: A `~.collections.LineCollection` instance that marks
+              the mean values of each of the violin's distribution.
+
+            - ``cmins``: A `~.collections.LineCollection` instance that marks
+              the bottom of each violin's distribution.
+
+            - ``cmaxes``: A `~.collections.LineCollection` instance that marks
+              the top of each violin's distribution.
 
-            - ``medians``: A
-              :class:`matplotlib.collections.LineCollection` instance
-              created to identify the median values of each of the
-              violin's distribution.
+            - ``cbars``: A `~.collections.LineCollection` instance that marks
+              the centers of each violin's distribution.
 
+            - ``cmedians``: A `~.collections.LineCollection` instance that
+              marks the median values of each of the violin's distribution.
+
+            - ``cquantiles``: A `~.collections.LineCollection` instance created
+              to identify the quantiles values of each of the violin's
+              distribution.
+
+        See Also
+        --------
+        violinplot :
+            Draw a violin plot from data instead of pre-computed statistics.
         """
 
         # Statistical quantities to be plotted on the violins
@@ -7069,14 +9009,28 @@ def violin(self, vpstats, positions=None, vert=True, widths=0.5,
         mins = []
         maxes = []
         medians = []
+        quantiles = []
 
-        # Collections to be returned
-        artists = {}
+        qlens = []  # Number of quantiles in each dataset.
+
+        artists = {}  # Collections to be returned
 
         N = len(vpstats)
         datashape_message = ("List of violinplot statistics and `{0}` "
                              "values must have the same length")
 
+        # vert and orientation parameters are linked until vert's
+        # deprecation period expires. If both are selected,
+        # vert takes precedence.
+        if vert is not None:
+            _api.warn_deprecated(
+                "3.11",
+                name="vert: bool",
+                alternative="orientation: {'vertical', 'horizontal'}",
+            )
+            orientation = 'vertical' if vert else 'horizontal'
+        _api.check_in_list(['horizontal', 'vertical'], orientation=orientation)
+
         # Validate positions
         if positions is None:
             positions = range(1, N + 1)
@@ -7089,69 +9043,134 @@ def violin(self, vpstats, positions=None, vert=True, widths=0.5,
         elif len(widths) != N:
             raise ValueError(datashape_message.format("widths"))
 
-        # Calculate ranges for statistics lines
-        pmins = -0.25 * np.array(widths) + positions
-        pmaxes = 0.25 * np.array(widths) + positions
+        # Validate side
+        _api.check_in_list(["both", "low", "high"], side=side)
+
+        # Calculate ranges for statistics lines (shape (2, N)).
+        line_ends = [[-0.25 if side in ['both', 'low'] else 0],
+                     [0.25 if side in ['both', 'high'] else 0]] \
+                          * np.array(widths) + positions
+
+        # Make a cycle of color to iterate through, using 'none' as fallback
+        def cycle_color(color, alpha=None):
+            rgba = mcolors.to_rgba_array(color, alpha=alpha)
+            color_cycler = itertools.chain(itertools.cycle(rgba),
+                                           itertools.repeat('none'))
+            color_list = []
+            for _ in range(N):
+                color_list.append(next(color_cycler))
+            return color_list
+
+        # Convert colors to chain (number of colors can be different from len(vpstats))
+        if facecolor is None or linecolor is None:
+            if not mpl.rcParams['_internal.classic_mode']:
+                next_color = self._get_lines.get_next_color()
+
+        if facecolor is not None:
+            facecolor = cycle_color(facecolor)
+        else:
+            default_facealpha = 0.3
+            # Use default colors if user doesn't provide them
+            if mpl.rcParams['_internal.classic_mode']:
+                facecolor = cycle_color('y', alpha=default_facealpha)
+            else:
+                facecolor = cycle_color(next_color, alpha=default_facealpha)
+
+        if mpl.rcParams['_internal.classic_mode']:
+            # Classic mode uses patch.force_edgecolor=True, so we need to
+            # set the edgecolor to make sure it has an alpha.
+            body_edgecolor = ("k", 0.3)
+        else:
+            body_edgecolor = None
+
+        if linecolor is not None:
+            linecolor = cycle_color(linecolor)
+        else:
+            if mpl.rcParams['_internal.classic_mode']:
+                linecolor = cycle_color('r')
+            else:
+                linecolor = cycle_color(next_color)
 
         # Check whether we are rendering vertically or horizontally
-        if vert:
+        if orientation == 'vertical':
             fill = self.fill_betweenx
-            perp_lines = self.hlines
-            par_lines = self.vlines
+            if side in ['low', 'high']:
+                perp_lines = functools.partial(self.hlines, colors=linecolor,
+                                                capstyle='projecting')
+                par_lines = functools.partial(self.vlines, colors=linecolor,
+                                                capstyle='projecting')
+            else:
+                perp_lines = functools.partial(self.hlines, colors=linecolor)
+                par_lines = functools.partial(self.vlines, colors=linecolor)
         else:
             fill = self.fill_between
-            perp_lines = self.vlines
-            par_lines = self.hlines
+            if side in ['low', 'high']:
+                perp_lines = functools.partial(self.vlines, colors=linecolor,
+                                                capstyle='projecting')
+                par_lines = functools.partial(self.hlines, colors=linecolor,
+                                                capstyle='projecting')
+            else:
+                perp_lines = functools.partial(self.vlines, colors=linecolor)
+                par_lines = functools.partial(self.hlines, colors=linecolor)
 
         # Render violins
         bodies = []
-        for stats, pos, width in zip(vpstats, positions, widths):
-            # The 0.5 factor reflects the fact that we plot from v-p to
-            # v+p
+        bodies_zip = zip(vpstats, positions, widths, facecolor)
+        for stats, pos, width, facecolor in bodies_zip:
+            # The 0.5 factor reflects the fact that we plot from v-p to v+p.
             vals = np.array(stats['vals'])
             vals = 0.5 * width * vals / vals.max()
             bodies += [fill(stats['coords'],
-                            -vals + pos,
-                            vals + pos,
-                            facecolor='y',
-                            alpha=0.3)]
+                            -vals + pos if side in ['both', 'low'] else pos,
+                            vals + pos if side in ['both', 'high'] else pos,
+                            facecolor=facecolor, edgecolor=body_edgecolor)]
             means.append(stats['mean'])
             mins.append(stats['min'])
             maxes.append(stats['max'])
             medians.append(stats['median'])
+            q = stats.get('quantiles')  # a list of floats, or None
+            if q is None:
+                q = []
+            quantiles.extend(q)
+            qlens.append(len(q))
         artists['bodies'] = bodies
 
-        # Render means
-        if showmeans:
-            artists['cmeans'] = perp_lines(means, pmins, pmaxes, colors='r')
+        if showmeans:  # Render means
+            artists['cmeans'] = perp_lines(means, *line_ends)
+        if showextrema:  # Render extrema
+            artists['cmaxes'] = perp_lines(maxes, *line_ends)
+            artists['cmins'] = perp_lines(mins, *line_ends)
+            artists['cbars'] = par_lines(positions, mins, maxes)
+        if showmedians:  # Render medians
+            artists['cmedians'] = perp_lines(medians, *line_ends)
+        if quantiles:  # Render quantiles: each width is repeated qlen times.
+            artists['cquantiles'] = perp_lines(
+                quantiles, *np.repeat(line_ends, qlens, axis=1))
 
-        # Render extrema
-        if showextrema:
-            artists['cmaxes'] = perp_lines(maxes, pmins, pmaxes, colors='r')
-            artists['cmins'] = perp_lines(mins, pmins, pmaxes, colors='r')
-            artists['cbars'] = par_lines(positions, mins, maxes, colors='r')
+        return artists
 
-        # Render medians
-        if showmedians:
-            artists['cmedians'] = perp_lines(medians,
-                                             pmins,
-                                             pmaxes,
-                                             colors='r')
+    # Methods that are entirely implemented in other modules.
 
-        return artists
+    table = _make_axes_method(mtable.table)
 
-    def tricontour(self, *args, **kwargs):
-        return mtri.tricontour(self, *args, **kwargs)
-    tricontour.__doc__ = mtri.TriContourSet.tricontour_doc
+    # args can be either Y or y1, y2, ... and all should be replaced
+    stackplot = _preprocess_data()(_make_axes_method(mstack.stackplot))
 
-    def tricontourf(self, *args, **kwargs):
-        return mtri.tricontourf(self, *args, **kwargs)
-    tricontourf.__doc__ = mtri.TriContourSet.tricontour_doc
+    streamplot = _preprocess_data(
+            replace_names=["x", "y", "u", "v", "start_points"])(
+        _make_axes_method(mstream.streamplot))
 
-    def tripcolor(self, *args, **kwargs):
-        return mtri.tripcolor(self, *args, **kwargs)
-    tripcolor.__doc__ = mtri.tripcolor.__doc__
+    tricontour = _make_axes_method(mtri.tricontour)
+    tricontourf = _make_axes_method(mtri.tricontourf)
+    tripcolor = _make_axes_method(mtri.tripcolor)
+    triplot = _make_axes_method(mtri.triplot)
 
-    def triplot(self, *args, **kwargs):
-        return mtri.triplot(self, *args, **kwargs)
-    triplot.__doc__ = mtri.triplot.__doc__
+    def _get_aspect_ratio(self):
+        """
+        Convenience method to calculate the aspect ratio of the Axes in
+        the display coordinate system.
+        """
+        figure_size = self.get_figure().get_size_inches()
+        ll, ur = self.get_position() * figure_size
+        width, height = ur - ll
+        return height / (width * self.get_data_ratio())
diff --git a/lib/matplotlib/axes/_axes.pyi b/lib/matplotlib/axes/_axes.pyi
new file mode 100644
index 000000000000..0008363b8220
--- /dev/null
+++ b/lib/matplotlib/axes/_axes.pyi
@@ -0,0 +1,791 @@
+from matplotlib.axes._base import _AxesBase
+from matplotlib.axes._secondary_axes import SecondaryAxis
+
+from matplotlib.artist import Artist
+from matplotlib.collections import (
+    Collection,
+    FillBetweenPolyCollection,
+    LineCollection,
+    PathCollection,
+    PolyCollection,
+    EventCollection,
+    QuadMesh,
+)
+from matplotlib.colorizer import Colorizer
+from matplotlib.colors import Colormap, Normalize
+from matplotlib.container import BarContainer, ErrorbarContainer, StemContainer
+from matplotlib.contour import ContourSet, QuadContourSet
+from matplotlib.image import AxesImage, PcolorImage
+from matplotlib.inset import InsetIndicator
+from matplotlib.legend import Legend
+from matplotlib.legend_handler import HandlerBase
+from matplotlib.lines import Line2D, AxLine
+from matplotlib.mlab import GaussianKDE
+from matplotlib.patches import Rectangle, FancyArrow, Polygon, StepPatch, Wedge
+from matplotlib.quiver import Quiver, QuiverKey, Barbs
+from matplotlib.text import Annotation, Text
+from matplotlib.transforms import Transform
+from matplotlib.typing import CoordsType
+import matplotlib.tri as mtri
+import matplotlib.table as mtable
+import matplotlib.stackplot as mstack
+import matplotlib.streamplot as mstream
+
+import PIL.Image
+from collections.abc import Callable, Iterable, Sequence
+from typing import Any, Literal, overload
+import numpy as np
+from numpy.typing import ArrayLike
+from matplotlib.typing import ColorType, MarkerType, LineStyleType
+import pandas as pd
+
+
+class _GroupedBarReturn:
+    bar_containers: list[BarContainer]
+    def __init__(self, bar_containers: list[BarContainer]) -> None: ...
+    def remove(self) -> None: ...
+
+class Axes(_AxesBase):
+    def get_title(self, loc: Literal["left", "center", "right"] = ...) -> str: ...
+    def set_title(
+        self,
+        label: str,
+        fontdict: dict[str, Any] | None = ...,
+        loc: Literal["left", "center", "right"] | None = ...,
+        pad: float | None = ...,
+        *,
+        y: float | None = ...,
+        **kwargs
+    ) -> Text: ...
+    def get_legend_handles_labels(
+        self, legend_handler_map: dict[type, HandlerBase] | None = ...
+    ) -> tuple[list[Artist], list[Any]]: ...
+    legend_: Legend | None
+
+    @overload
+    def legend(self) -> Legend: ...
+    @overload
+    def legend(self, handles: Iterable[Artist | tuple[Artist, ...]], labels: Iterable[str], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, *, handles: Iterable[Artist | tuple[Artist, ...]], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, labels: Iterable[str], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, **kwargs) -> Legend: ...
+
+    def inset_axes(
+        self,
+        bounds: tuple[float, float, float, float],
+        *,
+        transform: Transform | None = ...,
+        zorder: float = ...,
+        **kwargs
+    ) -> Axes: ...
+    def indicate_inset(
+        self,
+        bounds: tuple[float, float, float, float] | None = ...,
+        inset_ax: Axes | None = ...,
+        *,
+        transform: Transform | None = ...,
+        facecolor: ColorType = ...,
+        edgecolor: ColorType = ...,
+        alpha: float = ...,
+        zorder: float | None = ...,
+        **kwargs
+    ) -> InsetIndicator: ...
+    def indicate_inset_zoom(self, inset_ax: Axes, **kwargs) -> InsetIndicator: ...
+    def secondary_xaxis(
+        self,
+        location: Literal["top", "bottom"] | float,
+        functions: tuple[
+            Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]
+        ]
+        | Transform
+        | None = ...,
+        *,
+        transform: Transform | None = ...,
+        **kwargs
+    ) -> SecondaryAxis: ...
+    def secondary_yaxis(
+        self,
+        location: Literal["left", "right"] | float,
+        functions: tuple[
+            Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]
+        ]
+        | Transform
+        | None = ...,
+        *,
+        transform: Transform | None = ...,
+        **kwargs
+    ) -> SecondaryAxis: ...
+    def text(
+        self,
+        x: float,
+        y: float,
+        s: str,
+        fontdict: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> Text: ...
+    def annotate(
+        self,
+        text: str,
+        xy: tuple[float, float],
+        xytext: tuple[float, float] | None = ...,
+        xycoords: CoordsType = ...,
+        textcoords: CoordsType | None = ...,
+        arrowprops: dict[str, Any] | None = ...,
+        annotation_clip: bool | None = ...,
+        **kwargs
+    ) -> Annotation: ...
+    def axhline(
+        self, y: float = ..., xmin: float = ..., xmax: float = ..., **kwargs
+    ) -> Line2D: ...
+    def axvline(
+        self, x: float = ..., ymin: float = ..., ymax: float = ..., **kwargs
+    ) -> Line2D: ...
+
+    # TODO: Could separate the xy2 and slope signatures
+    def axline(
+        self,
+        xy1: tuple[float, float],
+        xy2: tuple[float, float] | None = ...,
+        *,
+        slope: float | None = ...,
+        **kwargs
+    ) -> AxLine: ...
+    def axhspan(
+        self, ymin: float, ymax: float, xmin: float = ..., xmax: float = ..., **kwargs
+    ) -> Rectangle: ...
+    def axvspan(
+        self, xmin: float, xmax: float, ymin: float = ..., ymax: float = ..., **kwargs
+    ) -> Rectangle: ...
+    def hlines(
+        self,
+        y: float | ArrayLike,
+        xmin: float | ArrayLike,
+        xmax: float | ArrayLike,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        linestyles: LineStyleType = ...,
+        *,
+        label: str = ...,
+        data=...,
+        **kwargs
+    ) -> LineCollection: ...
+    def vlines(
+        self,
+        x: float | ArrayLike,
+        ymin: float | ArrayLike,
+        ymax: float | ArrayLike,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        linestyles: LineStyleType = ...,
+        *,
+        label: str = ...,
+        data=...,
+        **kwargs
+    ) -> LineCollection: ...
+    def eventplot(
+        self,
+        positions: ArrayLike | Sequence[ArrayLike],
+        *,
+        orientation: Literal["horizontal", "vertical"] = ...,
+        lineoffsets: float | Sequence[float] = ...,
+        linelengths: float | Sequence[float] = ...,
+        linewidths: float | Sequence[float] | None = ...,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        alpha: float | Sequence[float] | None = ...,
+        linestyles: LineStyleType | Sequence[LineStyleType] = ...,
+        data=...,
+        **kwargs
+    ) -> EventCollection: ...
+    def plot(
+        self,
+        *args: float | ArrayLike | str,
+        scalex: bool = ...,
+        scaley: bool = ...,
+        data=...,
+        **kwargs
+    ) -> list[Line2D]: ...
+    def loglog(self, *args, **kwargs) -> list[Line2D]: ...
+    def semilogx(self, *args, **kwargs) -> list[Line2D]: ...
+    def semilogy(self, *args, **kwargs) -> list[Line2D]: ...
+    def acorr(
+        self, x: ArrayLike, *, data=..., **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]: ...
+    def xcorr(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        *,
+        normed: bool = ...,
+        detrend: Callable[[ArrayLike], ArrayLike] = ...,
+        usevlines: bool = ...,
+        maxlags: int = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]: ...
+    def step(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        *args,
+        where: Literal["pre", "post", "mid"] = ...,
+        data=...,
+        **kwargs
+    ) -> list[Line2D]: ...
+    def bar(
+        self,
+        x: float | ArrayLike,
+        height: float | ArrayLike,
+        width: float | ArrayLike = ...,
+        bottom: float | ArrayLike | None = ...,
+        *,
+        align: Literal["center", "edge"] = ...,
+        data=...,
+        **kwargs
+    ) -> BarContainer: ...
+    def barh(
+        self,
+        y: float | ArrayLike,
+        width: float | ArrayLike,
+        height: float | ArrayLike = ...,
+        left: float | ArrayLike | None = ...,
+        *,
+        align: Literal["center", "edge"] = ...,
+        data=...,
+        **kwargs
+    ) -> BarContainer: ...
+    def bar_label(
+        self,
+        container: BarContainer,
+        labels: ArrayLike | None = ...,
+        *,
+        fmt: str | Callable[[float], str] = ...,
+        label_type: Literal["center", "edge"] = ...,
+        padding: float | ArrayLike = ...,
+        **kwargs
+    ) -> list[Annotation]: ...
+    def broken_barh(
+        self,
+        xranges: Sequence[tuple[float, float]],
+        yrange: tuple[float, float],
+        *,
+        data=...,
+        **kwargs
+    ) -> PolyCollection: ...
+    def grouped_bar(
+        self,
+        heights: Sequence[ArrayLike] | dict[str, ArrayLike] | np.ndarray | pd.DataFrame,
+        *,
+        positions: ArrayLike | None = ...,
+        tick_labels: Sequence[str] | None = ...,
+        labels: Sequence[str] | None = ...,
+        group_spacing: float | None = ...,
+        bar_spacing: float | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        colors: Iterable[ColorType] | None = ...,
+        **kwargs
+    ) -> list[BarContainer]: ...
+    def stem(
+        self,
+        *args: ArrayLike | str,
+        linefmt: str | None = ...,
+        markerfmt: str | None = ...,
+        basefmt: str | None = ...,
+        bottom: float = ...,
+        label: str | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        data=...,
+    ) -> StemContainer: ...
+
+    # TODO: data kwarg preprocessor?
+    def pie(
+        self,
+        x: ArrayLike,
+        *,
+        explode: ArrayLike | None = ...,
+        labels: Sequence[str] | None = ...,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        autopct: str | Callable[[float], str] | None = ...,
+        pctdistance: float = ...,
+        shadow: bool = ...,
+        labeldistance: float | None = ...,
+        startangle: float = ...,
+        radius: float = ...,
+        counterclock: bool = ...,
+        wedgeprops: dict[str, Any] | None = ...,
+        textprops: dict[str, Any] | None = ...,
+        center: tuple[float, float] = ...,
+        frame: bool = ...,
+        rotatelabels: bool = ...,
+        normalize: bool = ...,
+        hatch: str | Sequence[str] | None = ...,
+        data=...,
+    ) -> tuple[list[Wedge], list[Text]] | tuple[
+        list[Wedge], list[Text], list[Text]
+    ]: ...
+    def errorbar(
+        self,
+        x: float | ArrayLike,
+        y: float | ArrayLike,
+        yerr: float | ArrayLike | None = ...,
+        xerr: float | ArrayLike | None = ...,
+        fmt: str = ...,
+        *,
+        ecolor: ColorType | None = ...,
+        elinewidth: float | None = ...,
+        elinestyle: LineStyleType | None = ...,
+        capsize: float | None = ...,
+        barsabove: bool = ...,
+        lolims: bool | ArrayLike = ...,
+        uplims: bool | ArrayLike = ...,
+        xlolims: bool | ArrayLike = ...,
+        xuplims: bool | ArrayLike = ...,
+        errorevery: int | tuple[int, int] = ...,
+        capthick: float | None = ...,
+        data=...,
+        **kwargs
+    ) -> ErrorbarContainer: ...
+    def boxplot(
+        self,
+        x: ArrayLike | Sequence[ArrayLike],
+        *,
+        notch: bool | None = ...,
+        sym: str | None = ...,
+        vert: bool | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        whis: float | tuple[float, float] | None = ...,
+        positions: ArrayLike | None = ...,
+        widths: float | ArrayLike | None = ...,
+        patch_artist: bool | None = ...,
+        bootstrap: int | None = ...,
+        usermedians: ArrayLike | None = ...,
+        conf_intervals: ArrayLike | None = ...,
+        meanline: bool | None = ...,
+        showmeans: bool | None = ...,
+        showcaps: bool | None = ...,
+        showbox: bool | None = ...,
+        showfliers: bool | None = ...,
+        boxprops: dict[str, Any] | None = ...,
+        tick_labels: Sequence[str] | None = ...,
+        flierprops: dict[str, Any] | None = ...,
+        medianprops: dict[str, Any] | None = ...,
+        meanprops: dict[str, Any] | None = ...,
+        capprops: dict[str, Any] | None = ...,
+        whiskerprops: dict[str, Any] | None = ...,
+        manage_ticks: bool = ...,
+        autorange: bool = ...,
+        zorder: float | None = ...,
+        capwidths: float | ArrayLike | None = ...,
+        label: Sequence[str] | None = ...,
+        data=...,
+    ) -> dict[str, Any]: ...
+    def bxp(
+        self,
+        bxpstats: Sequence[dict[str, Any]],
+        positions: ArrayLike | None = ...,
+        *,
+        widths: float | ArrayLike | None = ...,
+        vert: bool | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        patch_artist: bool = ...,
+        shownotches: bool = ...,
+        showmeans: bool = ...,
+        showcaps: bool = ...,
+        showbox: bool = ...,
+        showfliers: bool = ...,
+        boxprops: dict[str, Any] | None = ...,
+        whiskerprops: dict[str, Any] | None = ...,
+        flierprops: dict[str, Any] | None = ...,
+        medianprops: dict[str, Any] | None = ...,
+        capprops: dict[str, Any] | None = ...,
+        meanprops: dict[str, Any] | None = ...,
+        meanline: bool = ...,
+        manage_ticks: bool = ...,
+        zorder: float | None = ...,
+        capwidths: float | ArrayLike | None = ...,
+        label: Sequence[str] | None = ...,
+    ) -> dict[str, Any]: ...
+    def scatter(
+        self,
+        x: float | ArrayLike,
+        y: float | ArrayLike,
+        s: float | ArrayLike | None = ...,
+        c: ArrayLike | Sequence[ColorType] | ColorType | None = ...,
+        *,
+        marker: MarkerType | None = ...,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        alpha: float | None = ...,
+        linewidths: float | Sequence[float] | None = ...,
+        edgecolors: Literal["face", "none"] | ColorType | Sequence[ColorType] | None = ...,
+        colorizer: Colorizer | None = ...,
+        plotnonfinite: bool = ...,
+        data=...,
+        **kwargs
+    ) -> PathCollection: ...
+    def hexbin(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        C: ArrayLike | None = ...,
+        *,
+        gridsize: int | tuple[int, int] = ...,
+        bins: Literal["log"] | int | Sequence[float] | None = ...,
+        xscale: Literal["linear", "log"] = ...,
+        yscale: Literal["linear", "log"] = ...,
+        extent: tuple[float, float, float, float] | None = ...,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        alpha: float | None = ...,
+        linewidths: float | None = ...,
+        edgecolors: Literal["face", "none"] | ColorType = ...,
+        reduce_C_function: Callable[[np.ndarray | list[float]], float] = ...,
+        mincnt: int | None = ...,
+        marginals: bool = ...,
+        colorizer: Colorizer | None = ...,
+        data=...,
+        **kwargs
+    ) -> PolyCollection: ...
+    def arrow(
+        self, x: float, y: float, dx: float, dy: float, **kwargs
+    ) -> FancyArrow: ...
+    def quiverkey(
+        self, Q: Quiver, X: float, Y: float, U: float, label: str, **kwargs
+    ) -> QuiverKey: ...
+    def quiver(self, *args, data=..., **kwargs) -> Quiver: ...
+    def barbs(self, *args, data=..., **kwargs) -> Barbs: ...
+    def fill(self, *args, data=..., **kwargs) -> list[Polygon]: ...
+    def fill_between(
+        self,
+        x: ArrayLike,
+        y1: ArrayLike | float,
+        y2: ArrayLike | float = ...,
+        where: Sequence[bool] | None = ...,
+        interpolate: bool = ...,
+        step: Literal["pre", "post", "mid"] | None = ...,
+        *,
+        data=...,
+        **kwargs
+    ) -> FillBetweenPolyCollection: ...
+    def fill_betweenx(
+        self,
+        y: ArrayLike,
+        x1: ArrayLike | float,
+        x2: ArrayLike | float = ...,
+        where: Sequence[bool] | None = ...,
+        step: Literal["pre", "post", "mid"] | None = ...,
+        interpolate: bool = ...,
+        *,
+        data=...,
+        **kwargs
+    ) -> FillBetweenPolyCollection: ...
+    def imshow(
+        self,
+        X: ArrayLike | PIL.Image.Image,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        *,
+        aspect: Literal["equal", "auto"] | float | None = ...,
+        interpolation: str | None = ...,
+        alpha: float | ArrayLike | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        colorizer: Colorizer | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        extent: tuple[float, float, float, float] | None = ...,
+        interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,
+        filternorm: bool = ...,
+        filterrad: float = ...,
+        resample: bool | None = ...,
+        url: str | None = ...,
+        data=...,
+        **kwargs
+    ) -> AxesImage: ...
+    def pcolor(
+        self,
+        *args: ArrayLike,
+        shading: Literal["flat", "nearest", "auto"] | None = ...,
+        alpha: float | None = ...,
+        norm: str | Normalize | None = ...,
+        cmap: str | Colormap | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        colorizer: Colorizer | None = ...,
+        data=...,
+        **kwargs
+    ) -> Collection: ...
+    def pcolormesh(
+        self,
+        *args: ArrayLike,
+        alpha: float | None = ...,
+        norm: str | Normalize | None = ...,
+        cmap: str | Colormap | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        colorizer: Colorizer | None = ...,
+        shading: Literal["flat", "nearest", "gouraud", "auto"] | None = ...,
+        antialiased: bool = ...,
+        data=...,
+        **kwargs
+    ) -> QuadMesh: ...
+    def pcolorfast(
+        self,
+        *args: ArrayLike | tuple[float, float],
+        alpha: float | None = ...,
+        norm: str | Normalize | None = ...,
+        cmap: str | Colormap | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        colorizer: Colorizer | None = ...,
+        data=...,
+        **kwargs
+    ) -> AxesImage | PcolorImage | QuadMesh: ...
+    def contour(self, *args, data=..., **kwargs) -> QuadContourSet: ...
+    def contourf(self, *args, data=..., **kwargs) -> QuadContourSet: ...
+    def clabel(
+        self, CS: ContourSet, levels: ArrayLike | None = ..., **kwargs
+    ) -> list[Text]: ...
+    def hist(
+        self,
+        x: ArrayLike | Sequence[ArrayLike],
+        bins: int | Sequence[float] | str | None = ...,
+        *,
+        range: tuple[float, float] | None = ...,
+        density: bool = ...,
+        weights: ArrayLike | None = ...,
+        cumulative: bool | float = ...,
+        bottom: ArrayLike | float | None = ...,
+        histtype: Literal["bar", "barstacked", "step", "stepfilled"] = ...,
+        align: Literal["left", "mid", "right"] = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        rwidth: float | None = ...,
+        log: bool = ...,
+        color: ColorType | Sequence[ColorType] | None = ...,
+        label: str | Sequence[str] | None = ...,
+        stacked: bool = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[
+        np.ndarray | list[np.ndarray],
+        np.ndarray,
+        BarContainer | Polygon | list[BarContainer | Polygon],
+    ]: ...
+    def stairs(
+        self,
+        values: ArrayLike,
+        edges: ArrayLike | None = ...,
+        *,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        baseline: float | ArrayLike | None = ...,
+        fill: bool = ...,
+        data=...,
+        **kwargs
+    ) -> StepPatch: ...
+    def hist2d(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        bins: None
+        | int
+        | tuple[int, int]
+        | ArrayLike
+        | tuple[ArrayLike, ArrayLike] = ...,
+        *,
+        range: ArrayLike | None = ...,
+        density: bool = ...,
+        weights: ArrayLike | None = ...,
+        cmin: float | None = ...,
+        cmax: float | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, np.ndarray, QuadMesh]: ...
+    def ecdf(
+        self,
+        x: ArrayLike,
+        weights: ArrayLike | None = ...,
+        *,
+        complementary: bool=...,
+        orientation: Literal["vertical", "horizontal"]=...,
+        compress: bool=...,
+        data=...,
+        **kwargs
+    ) -> Line2D: ...
+    def psd(
+        self,
+        x: ArrayLike,
+        *,
+        NFFT: int | None = ...,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        detrend: Literal["none", "mean", "linear"]
+        | Callable[[ArrayLike], ArrayLike]
+        | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        noverlap: int | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        scale_by_freq: bool | None = ...,
+        return_line: bool | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]: ...
+    def csd(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        *,
+        NFFT: int | None = ...,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        detrend: Literal["none", "mean", "linear"]
+        | Callable[[ArrayLike], ArrayLike]
+        | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        noverlap: int | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        scale_by_freq: bool | None = ...,
+        return_line: bool | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]: ...
+    def magnitude_spectrum(
+        self,
+        x: ArrayLike,
+        *,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        scale: Literal["default", "linear", "dB"] | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
+    def angle_spectrum(
+        self,
+        x: ArrayLike,
+        *,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
+    def phase_spectrum(
+        self,
+        x: ArrayLike,
+        *,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
+    def cohere(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        *,
+        NFFT: int = ...,
+        Fs: float = ...,
+        Fc: int = ...,
+        detrend: Literal["none", "mean", "linear"]
+        | Callable[[ArrayLike], ArrayLike] = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike = ...,
+        noverlap: int = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] = ...,
+        scale_by_freq: bool | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray]: ...
+    def specgram(
+        self,
+        x: ArrayLike,
+        *,
+        NFFT: int | None = ...,
+        Fs: float | None = ...,
+        Fc: int | None = ...,
+        detrend: Literal["none", "mean", "linear"]
+        | Callable[[ArrayLike], ArrayLike]
+        | None = ...,
+        window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+        noverlap: int | None = ...,
+        cmap: str | Colormap | None = ...,
+        xextent: tuple[float, float] | None = ...,
+        pad_to: int | None = ...,
+        sides: Literal["default", "onesided", "twosided"] | None = ...,
+        scale_by_freq: bool | None = ...,
+        mode: Literal["default", "psd", "magnitude", "angle", "phase"] | None = ...,
+        scale: Literal["default", "linear", "dB"] | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        data=...,
+        **kwargs
+    ) -> tuple[np.ndarray, np.ndarray, np.ndarray, AxesImage]: ...
+    def spy(
+        self,
+        Z: ArrayLike,
+        *,
+        precision: float | Literal["present"] = ...,
+        marker: str | None = ...,
+        markersize: float | None = ...,
+        aspect: Literal["equal", "auto"] | float | None = ...,
+        origin: Literal["upper", "lower"] = ...,
+        **kwargs
+    ) -> AxesImage: ...
+    def matshow(self, Z: ArrayLike, **kwargs) -> AxesImage: ...
+    def violinplot(
+        self,
+        dataset: ArrayLike | Sequence[ArrayLike],
+        positions: ArrayLike | None = ...,
+        *,
+        vert: bool | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        widths: float | ArrayLike = ...,
+        showmeans: bool = ...,
+        showextrema: bool = ...,
+        showmedians: bool = ...,
+        quantiles: Sequence[float | Sequence[float]] | None = ...,
+        points: int = ...,
+        bw_method: Literal["scott", "silverman"]
+        | float
+        | Callable[[GaussianKDE], float]
+        | None = ...,
+        side: Literal["both", "low", "high"] = ...,
+        facecolor: Sequence[ColorType] | ColorType | None = ...,
+        linecolor: Sequence[ColorType] | ColorType | None = ...,
+        data=...,
+    ) -> dict[str, Collection]: ...
+    def violin(
+        self,
+        vpstats: Sequence[dict[str, Any]],
+        positions: ArrayLike | None = ...,
+        *,
+        vert: bool | None = ...,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        widths: float | ArrayLike = ...,
+        showmeans: bool = ...,
+        showextrema: bool = ...,
+        showmedians: bool = ...,
+        side: Literal["both", "low", "high"] = ...,
+        facecolor: Sequence[ColorType] | ColorType | None = ...,
+        linecolor: Sequence[ColorType] | ColorType | None = ...,
+    ) -> dict[str, Collection]: ...
+
+    table = mtable.table
+    stackplot = mstack.stackplot
+    streamplot = mstream.streamplot
+    tricontour = mtri.tricontour
+    tricontourf = mtri.tricontourf
+    tripcolor = mtri.tripcolor
+    triplot = mtri.triplot
diff --git a/lib/matplotlib/axes/_base.py b/lib/matplotlib/axes/_base.py
index eff223f92bb4..15f8e97b449f 100644
--- a/lib/matplotlib/axes/_base.py
+++ b/lib/matplotlib/axes/_base.py
@@ -1,121 +1,199 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-import itertools
-import warnings
-import math
-from operator import itemgetter
+from collections.abc import Iterable, Sequence
+from contextlib import ExitStack
+import functools
+import inspect
+import logging
+from numbers import Real
+from operator import attrgetter
+import re
+import textwrap
+import types
 
 import numpy as np
-from numpy import ma
 
-import matplotlib
-rcParams = matplotlib.rcParams
-
-from matplotlib import cbook
-from matplotlib.cbook import _string_to_bool
-from matplotlib import docstring
+import matplotlib as mpl
+from matplotlib import _api, cbook, _docstring, offsetbox
+import matplotlib.artist as martist
+import matplotlib.axis as maxis
+from matplotlib.cbook import _OrderedSet, _check_1d, index_of
+import matplotlib.collections as mcoll
 import matplotlib.colors as mcolors
+import matplotlib.font_manager as font_manager
+from matplotlib.gridspec import SubplotSpec
+import matplotlib.image as mimage
 import matplotlib.lines as mlines
 import matplotlib.patches as mpatches
-import matplotlib.artist as martist
-import matplotlib.transforms as mtransforms
-import matplotlib.ticker as mticker
-import matplotlib.axis as maxis
-import matplotlib.scale as mscale
+from matplotlib.rcsetup import cycler, validate_axisbelow
 import matplotlib.spines as mspines
-import matplotlib.font_manager as font_manager
+import matplotlib.table as mtable
 import matplotlib.text as mtext
-import matplotlib.image as mimage
-from matplotlib.artist import allow_rasterization
+import matplotlib.ticker as mticker
+import matplotlib.transforms as mtransforms
+
+_log = logging.getLogger(__name__)
 
 
-from matplotlib.cbook import iterable
+class _axis_method_wrapper:
+    """
+    Helper to generate Axes methods wrapping Axis methods.
+
+    After ::
+
+        get_foo = _axis_method_wrapper("xaxis", "get_bar")
+
+    (in the body of a class) ``get_foo`` is a method that forwards it arguments
+    to the ``get_bar`` method of the ``xaxis`` attribute, and gets its
+    signature and docstring from ``Axis.get_bar``.
+
+    The docstring of ``get_foo`` is built by replacing "this Axis" by "the
+    {attr_name}" (i.e., "the xaxis", "the yaxis") in the wrapped method's
+    dedented docstring; additional replacements can be given in *doc_sub*.
+    """
+
+    def __init__(self, attr_name, method_name, *, doc_sub=None):
+        self.attr_name = attr_name
+        self.method_name = method_name
+        # Immediately put the docstring in ``self.__doc__`` so that docstring
+        # manipulations within the class body work as expected.
+        doc = inspect.getdoc(getattr(maxis.Axis, method_name))
+        self._missing_subs = []
+        if doc:
+            doc_sub = {"this Axis": f"the {self.attr_name}", **(doc_sub or {})}
+            for k, v in doc_sub.items():
+                if k not in doc:  # Delay raising error until we know qualname.
+                    self._missing_subs.append(k)
+                doc = doc.replace(k, v)
+        self.__doc__ = doc
+
+    def __set_name__(self, owner, name):
+        # This is called at the end of the class body as
+        # ``self.__set_name__(cls, name_under_which_self_is_assigned)``; we
+        # rely on that to give the wrapper the correct __name__/__qualname__.
+        get_method = attrgetter(f"{self.attr_name}.{self.method_name}")
+
+        def wrapper(self, *args, **kwargs):
+            return get_method(self)(*args, **kwargs)
+
+        wrapper.__module__ = owner.__module__
+        wrapper.__name__ = name
+        wrapper.__qualname__ = f"{owner.__qualname__}.{name}"
+        wrapper.__doc__ = self.__doc__
+        # Manually copy the signature instead of using functools.wraps because
+        # displaying the Axis method source when asking for the Axes method
+        # source would be confusing.
+        wrapper.__signature__ = inspect.signature(
+            getattr(maxis.Axis, self.method_name))
+
+        if self._missing_subs:
+            raise ValueError(
+                "The definition of {} expected that the docstring of Axis.{} "
+                "contains {!r} as substrings".format(
+                    wrapper.__qualname__, self.method_name,
+                    ", ".join(map(repr, self._missing_subs))))
 
+        setattr(owner, name, wrapper)
+
+
+class _TransformedBoundsLocator:
+    """
+    Axes locator for `.Axes.inset_axes` and similarly positioned Axes.
+
+    The locator is a callable object used in `.Axes.set_aspect` to compute the
+    Axes location depending on the renderer.
+    """
+
+    def __init__(self, bounds, transform):
+        """
+        *bounds* (a ``[l, b, w, h]`` rectangle) and *transform* together
+        specify the position of the inset Axes.
+        """
+        self._bounds = bounds
+        self._transform = transform
 
-is_string_like = cbook.is_string_like
-is_sequence_of_strings = cbook.is_sequence_of_strings
+    def __call__(self, ax, renderer):
+        # Subtracting transSubfigure will typically rely on inverted(),
+        # freezing the transform; thus, this needs to be delayed until draw
+        # time as transSubfigure may otherwise change after this is evaluated.
+        return mtransforms.TransformedBbox(
+            mtransforms.Bbox.from_bounds(*self._bounds),
+            self._transform - ax.get_figure(root=False).transSubfigure)
 
 
-def _process_plot_format(fmt):
+def _process_plot_format(fmt, *, ambiguous_fmt_datakey=False):
     """
-    Process a MATLAB style color/line style format string.  Return a
-    (*linestyle*, *color*) tuple as a result of the processing.  Default
-    values are ('-', 'b').  Example format strings include:
+    Convert a MATLAB style color/line style format string to a (*linestyle*,
+    *marker*, *color*) tuple.
+
+    Example format strings include:
 
     * 'ko': black circles
     * '.b': blue dots
     * 'r--': red dashed lines
+    * 'C2--': the third color in the color cycle, dashed lines
 
-    .. seealso::
+    The format is absolute in the sense that if a linestyle or marker is not
+    defined in *fmt*, there is no line or marker. This is expressed by
+    returning 'None' for the respective quantity.
 
-        :func:`~matplotlib.Line2D.lineStyles` and
-        :func:`~matplotlib.pyplot.colors`
-            for all possible styles and color format string.
+    See Also
+    --------
+    matplotlib.Line2D.lineStyles, matplotlib.colors.cnames
+        All possible styles and color format strings.
     """
 
     linestyle = None
     marker = None
     color = None
 
-    # Is fmt just a colorspec?
-    try:
-        color = mcolors.colorConverter.to_rgb(fmt)
-
-        # We need to differentiate grayscale '1.0' from tri_down marker '1'
+    # First check whether fmt is just a colorspec, but specifically exclude the
+    # grayscale string "1" (not "1.0"), which is interpreted as the tri_down
+    # marker "1".  The grayscale string "0" could be unambiguously understood
+    # as a color (black) but also excluded for consistency.
+    if fmt not in ["0", "1"]:
         try:
-            fmtint = str(int(fmt))
+            color = mcolors.to_rgba(fmt)
+            return linestyle, marker, color
         except ValueError:
-            return linestyle, marker, color  # Yes
-        else:
-            if fmt != fmtint:
-                # user definitely doesn't want tri_down marker
-                return linestyle, marker, color  # Yes
-            else:
-                # ignore converted color
-                color = None
-    except ValueError:
-        pass  # No, not just a color.
-
-    # handle the multi char special cases and strip them from the
-    # string
-    if fmt.find('--') >= 0:
-        linestyle = '--'
-        fmt = fmt.replace('--', '')
-    if fmt.find('-.') >= 0:
-        linestyle = '-.'
-        fmt = fmt.replace('-.', '')
-    if fmt.find(' ') >= 0:
-        linestyle = 'None'
-        fmt = fmt.replace(' ', '')
+            pass
 
-    chars = [c for c in fmt]
+    errfmt = ("{!r} is neither a data key nor a valid format string ({})"
+              if ambiguous_fmt_datakey else
+              "{!r} is not a valid format string ({})")
 
-    for c in chars:
-        if c in mlines.lineStyles:
+    i = 0
+    while i < len(fmt):
+        c = fmt[i]
+        if fmt[i:i+2] in mlines.lineStyles:  # First, the two-char styles.
             if linestyle is not None:
-                raise ValueError(
-                    'Illegal format string "%s"; two linestyle symbols' % fmt)
+                raise ValueError(errfmt.format(fmt, "two linestyle symbols"))
+            linestyle = fmt[i:i+2]
+            i += 2
+        elif c in mlines.lineStyles:
+            if linestyle is not None:
+                raise ValueError(errfmt.format(fmt, "two linestyle symbols"))
             linestyle = c
+            i += 1
         elif c in mlines.lineMarkers:
             if marker is not None:
-                raise ValueError(
-                    'Illegal format string "%s"; two marker symbols' % fmt)
+                raise ValueError(errfmt.format(fmt, "two marker symbols"))
             marker = c
-        elif c in mcolors.colorConverter.colors:
+            i += 1
+        elif c in mcolors.get_named_colors_mapping():
             if color is not None:
-                raise ValueError(
-                    'Illegal format string "%s"; two color symbols' % fmt)
+                raise ValueError(errfmt.format(fmt, "two color symbols"))
             color = c
+            i += 1
+        elif c == "C":
+            cn_color = re.match(r"C\d+", fmt[i:])
+            if not cn_color:
+                raise ValueError(errfmt.format(fmt, "'C' must be followed by a number"))
+            color = mcolors.to_rgba(cn_color[0])
+            i += len(cn_color[0])
         else:
-            raise ValueError(
-                'Unrecognized character %c in format string' % c)
+            raise ValueError(errfmt.format(fmt, f"unrecognized character {c!r}"))
 
     if linestyle is None and marker is None:
-        linestyle = rcParams['lines.linestyle']
+        linestyle = mpl.rcParams['lines.linestyle']
     if linestyle is None:
         linestyle = 'None'
     if marker is None:
@@ -124,10 +202,9 @@ def _process_plot_format(fmt):
     return linestyle, marker, color
 
 
-class _process_plot_var_args(object):
+class _process_plot_var_args:
     """
-    Process variable length arguments to the plot command, so that
-    plot commands like the following are supported::
+    Process variable length arguments to `~.Axes.plot`, to support ::
 
       plot(t, s)
       plot(t1, s1, t2, s2)
@@ -136,311 +213,516 @@ class _process_plot_var_args(object):
 
     an arbitrary number of *x*, *y*, *fmt* are allowed
     """
-    def __init__(self, axes, command='plot'):
-        self.axes = axes
-        self.command = command
-        self.set_color_cycle()
 
-    def __getstate__(self):
-        # note: it is not possible to pickle a itertools.cycle instance
-        return {'axes': self.axes, 'command': self.command}
+    def __init__(self, output='Line2D'):
+        _api.check_in_list(['Line2D', 'Polygon', 'coordinates'], output=output)
+        self.output = output
+        self.set_prop_cycle(None)
 
-    def __setstate__(self, state):
-        self.__dict__ = state.copy()
-        self.set_color_cycle()
-
-    def set_color_cycle(self, clist=None):
-        if clist is None:
-            clist = rcParams['axes.color_cycle']
-        self.color_cycle = itertools.cycle(clist)
-
-    def __call__(self, *args, **kwargs):
-
-        if self.axes.xaxis is not None and self.axes.yaxis is not None:
-            xunits = kwargs.pop('xunits', self.axes.xaxis.units)
-
-            if self.axes.name == 'polar':
-                xunits = kwargs.pop('thetaunits', xunits)
-
-            yunits = kwargs.pop('yunits', self.axes.yaxis.units)
-
-            if self.axes.name == 'polar':
-                yunits = kwargs.pop('runits', yunits)
-
-            if xunits != self.axes.xaxis.units:
-                self.axes.xaxis.set_units(xunits)
-
-            if yunits != self.axes.yaxis.units:
-                self.axes.yaxis.set_units(yunits)
-
-        ret = self._grab_next_args(*args, **kwargs)
-        return ret
-
-    def set_lineprops(self, line, **kwargs):
-        assert self.command == 'plot', 'set_lineprops only works with "plot"'
-        for key, val in six.iteritems(kwargs):
-            funcName = "set_%s" % key
-            if not hasattr(line, funcName):
-                raise TypeError('There is no line property "%s"' % key)
-            func = getattr(line, funcName)
-            func(val)
-
-    def set_patchprops(self, fill_poly, **kwargs):
-        assert self.command == 'fill', 'set_patchprops only works with "fill"'
-        for key, val in six.iteritems(kwargs):
-            funcName = "set_%s" % key
-            if not hasattr(fill_poly, funcName):
-                raise TypeError('There is no patch property "%s"' % key)
-            func = getattr(fill_poly, funcName)
-            func(val)
-
-    def _xy_from_xy(self, x, y):
-        if self.axes.xaxis is not None and self.axes.yaxis is not None:
-            bx = self.axes.xaxis.update_units(x)
-            by = self.axes.yaxis.update_units(y)
-
-            if self.command != 'plot':
-                # the Line2D class can handle unitized data, with
-                # support for post hoc unit changes etc.  Other mpl
-                # artists, e.g., Polygon which _process_plot_var_args
-                # also serves on calls to fill, cannot.  So this is a
-                # hack to say: if you are not "plot", which is
-                # creating Line2D, then convert the data now to
-                # floats.  If you are plot, pass the raw data through
-                # to Line2D which will handle the conversion.  So
-                # polygons will not support post hoc conversions of
-                # the unit type since they are not storing the orig
-                # data.  Hopefully we can rationalize this at a later
-                # date - JDH
-                if bx:
-                    x = self.axes.convert_xunits(x)
-                if by:
-                    y = self.axes.convert_yunits(y)
-
-        x = np.atleast_1d(x)  # like asanyarray, but converts scalar to array
-        y = np.atleast_1d(y)
-        if x.shape[0] != y.shape[0]:
-            raise ValueError("x and y must have same first dimension")
-        if x.ndim > 2 or y.ndim > 2:
-            raise ValueError("x and y can be no greater than 2-D")
+    def set_prop_cycle(self, cycler):
+        self._idx = 0
+        self._cycler_items = [*mpl._val_or_rc(cycler, 'axes.prop_cycle')]
 
-        if x.ndim == 1:
-            x = x[:, np.newaxis]
-        if y.ndim == 1:
-            y = y[:, np.newaxis]
-        return x, y
+    def __call__(self, axes, *args, data=None, return_kwargs=False, **kwargs):
+        axes._process_unit_info(kwargs=kwargs)
+
+        for pos_only in "xy":
+            if pos_only in kwargs:
+                raise _api.kwarg_error(inspect.stack()[1].function, pos_only)
+
+        if not args:
+            return
+
+        if data is None:  # Process dict views
+            args = [cbook.sanitize_sequence(a) for a in args]
+        else:  # Process the 'data' kwarg.
+            replaced = [mpl._replacer(data, arg) for arg in args]
+            if len(args) == 1:
+                label_namer_idx = 0
+            elif len(args) == 2:  # Can be x, y or y, c.
+                # Figure out what the second argument is.
+                # 1) If the second argument cannot be a format shorthand, the
+                #    second argument is the label_namer.
+                # 2) Otherwise (it could have been a format shorthand),
+                #    a) if we did perform a substitution, emit a warning, and
+                #       use it as label_namer.
+                #    b) otherwise, it is indeed a format shorthand; use the
+                #       first argument as label_namer.
+                try:
+                    _process_plot_format(args[1])
+                except ValueError:  # case 1)
+                    label_namer_idx = 1
+                else:
+                    if replaced[1] is not args[1]:  # case 2a)
+                        _api.warn_external(
+                            f"Second argument {args[1]!r} is ambiguous: could "
+                            f"be a format string but is in 'data'; using as "
+                            f"data.  If it was intended as data, set the "
+                            f"format string to an empty string to suppress "
+                            f"this warning.  If it was intended as a format "
+                            f"string, explicitly pass the x-values as well.  "
+                            f"Alternatively, rename the entry in 'data'.",
+                            RuntimeWarning)
+                        label_namer_idx = 1
+                    else:  # case 2b)
+                        label_namer_idx = 0
+            elif len(args) == 3:
+                label_namer_idx = 1
+            else:
+                raise ValueError(
+                    "Using arbitrary long args with data is not supported due "
+                    "to ambiguity of arguments; use multiple plotting calls "
+                    "instead")
+            if kwargs.get("label") is None:
+                kwargs["label"] = mpl._label_from_arg(
+                    replaced[label_namer_idx], args[label_namer_idx])
+            args = replaced
+        ambiguous_fmt_datakey = data is not None and len(args) == 2
+
+        if len(args) >= 4 and not cbook.is_scalar_or_string(
+                kwargs.get("label")):
+            raise ValueError("plot() with multiple groups of data (i.e., "
+                             "pairs of x and y) does not support multiple "
+                             "labels")
+
+        # Repeatedly grab (x, y) or (x, y, format) from the front of args and
+        # massage them into arguments to plot() or fill().
+
+        while args:
+            this, args = args[:2], args[2:]
+            if args and isinstance(args[0], str):
+                this += args[0],
+                args = args[1:]
+            yield from self._plot_args(
+                axes, this, kwargs, ambiguous_fmt_datakey=ambiguous_fmt_datakey,
+                return_kwargs=return_kwargs
+            )
+
+    def get_next_color(self):
+        """Return the next color in the cycle."""
+        entry = self._cycler_items[self._idx]
+        if "color" in entry:
+            self._idx = (self._idx + 1) % len(self._cycler_items)  # Advance cycler.
+            return entry["color"]
+        else:
+            return "k"
+
+    def _getdefaults(self, kw, ignore=frozenset()):
+        """
+        If some keys in the property cycle (excluding those in the set
+        *ignore*) are absent or set to None in the dict *kw*, return a copy
+        of the next entry in the property cycle, excluding keys in *ignore*.
+        Otherwise, don't advance the property cycle, and return an empty dict.
+        """
+        defaults = self._cycler_items[self._idx]
+        if any(kw.get(k, None) is None for k in {*defaults} - ignore):
+            self._idx = (self._idx + 1) % len(self._cycler_items)  # Advance cycler.
+            # Return a new dict to avoid exposing _cycler_items entries to mutation.
+            return {k: v for k, v in defaults.items() if k not in ignore}
+        else:
+            return {}
+
+    def _setdefaults(self, defaults, kw):
+        """
+        Add to the dict *kw* the entries in the dict *default* that are absent
+        or set to None in *kw*.
+        """
+        for k in defaults:
+            if kw.get(k, None) is None:
+                kw[k] = defaults[k]
+
+    def _make_line(self, axes, x, y, kw, kwargs):
+        kw = {**kw, **kwargs}  # Don't modify the original kw.
+        self._setdefaults(self._getdefaults(kw), kw)
+        seg = mlines.Line2D(x, y, **kw)
+        return seg, kw
+
+    def _make_coordinates(self, axes, x, y, kw, kwargs):
+        kw = {**kw, **kwargs}  # Don't modify the original kw.
+        self._setdefaults(self._getdefaults(kw), kw)
+        return (x, y), kw
+
+    def _make_polygon(self, axes, x, y, kw, kwargs):
+        # Polygon doesn't directly support unitized inputs.
+        x = axes.convert_xunits(x)
+        y = axes.convert_yunits(y)
 
-    def _makeline(self, x, y, kw, kwargs):
         kw = kw.copy()  # Don't modify the original kw.
-        if 'color' not in kw and 'color' not in kwargs:
-            kw['color'] = six.next(self.color_cycle)
-            # (can't use setdefault because it always evaluates
-            # its second argument)
-        seg = mlines.Line2D(x, y,
-                            axes=self.axes,
-                            **kw
-                            )
-        self.set_lineprops(seg, **kwargs)
-        return seg
-
-    def _makefill(self, x, y, kw, kwargs):
-        try:
-            facecolor = kw['color']
-        except KeyError:
-            facecolor = six.next(self.color_cycle)
-        seg = mpatches.Polygon(np.hstack((x[:, np.newaxis],
-                                          y[:, np.newaxis])),
+        kwargs = kwargs.copy()
+
+        # Ignore 'marker'-related properties as they aren't Polygon
+        # properties, but they are Line2D properties, and so they are
+        # likely to appear in the default cycler construction.
+        # This is done here to the defaults dictionary as opposed to the
+        # other two dictionaries because we do want to capture when a
+        # *user* explicitly specifies a marker which should be an error.
+        # We also want to prevent advancing the cycler if there are no
+        # defaults needed after ignoring the given properties.
+        ignores = ({'marker', 'markersize', 'markeredgecolor',
+                    'markerfacecolor', 'markeredgewidth'}
+                   # Also ignore anything provided by *kwargs*.
+                   | {k for k, v in kwargs.items() if v is not None})
+
+        # Only using the first dictionary to use as basis
+        # for getting defaults for back-compat reasons.
+        # Doing it with both seems to mess things up in
+        # various places (probably due to logic bugs elsewhere).
+        default_dict = self._getdefaults(kw, ignores)
+        self._setdefaults(default_dict, kw)
+
+        # Looks like we don't want "color" to be interpreted to
+        # mean both facecolor and edgecolor for some reason.
+        # So the "kw" dictionary is thrown out, and only its
+        # 'color' value is kept and translated as a 'facecolor'.
+        # This design should probably be revisited as it increases
+        # complexity.
+        facecolor = kw.get('color', None)
+
+        # Throw out 'color' as it is now handled as a facecolor
+        default_dict.pop('color', None)
+
+        # To get other properties set from the cycler
+        # modify the kwargs dictionary.
+        self._setdefaults(default_dict, kwargs)
+
+        seg = mpatches.Polygon(np.column_stack((x, y)),
                                facecolor=facecolor,
-                               fill=True,
+                               fill=kwargs.get('fill', True),
                                closed=kw['closed'])
-        self.set_patchprops(seg, **kwargs)
-        return seg
-
-    def _plot_args(self, tup, kwargs):
-        ret = []
-        if len(tup) > 1 and is_string_like(tup[-1]):
-            linestyle, marker, color = _process_plot_format(tup[-1])
-            tup = tup[:-1]
+        seg.set(**kwargs)
+        return seg, kwargs
+
+    def _plot_args(self, axes, tup, kwargs, *,
+                   return_kwargs=False, ambiguous_fmt_datakey=False):
+        """
+        Process the arguments of ``plot([x], y, [fmt], **kwargs)`` calls.
+
+        This processes a single set of ([x], y, [fmt]) parameters; i.e. for
+        ``plot(x, y, x2, y2)`` it will be called twice. Once for (x, y) and
+        once for (x2, y2).
+
+        x and y may be 2D and thus can still represent multiple datasets.
+
+        For multiple datasets, if the keyword argument *label* is a list, this
+        will unpack the list and assign the individual labels to the datasets.
+
+        Parameters
+        ----------
+        tup : tuple
+            A tuple of the positional parameters. This can be one of
+
+            - (y,)
+            - (x, y)
+            - (y, fmt)
+            - (x, y, fmt)
+
+        kwargs : dict
+            The keyword arguments passed to ``plot()``.
+
+        return_kwargs : bool
+            Whether to also return the effective keyword arguments after label
+            unpacking as well.
+
+        ambiguous_fmt_datakey : bool
+            Whether the format string in *tup* could also have been a
+            misspelled data key.
+
+        Returns
+        -------
+        result
+            If *return_kwargs* is false, a list of Artists representing the
+            dataset(s).
+            If *return_kwargs* is true, a list of (Artist, effective_kwargs)
+            representing the dataset(s). See *return_kwargs*.
+            The Artist is either `.Line2D` (if called from ``plot()``) or
+            `.Polygon` otherwise.
+        """
+        if len(tup) > 1 and isinstance(tup[-1], str):
+            # xy is tup with fmt stripped (could still be (y,) only)
+            *xy, fmt = tup
+            linestyle, marker, color = _process_plot_format(
+                fmt, ambiguous_fmt_datakey=ambiguous_fmt_datakey)
         elif len(tup) == 3:
             raise ValueError('third arg must be a format string')
         else:
+            xy = tup
             linestyle, marker, color = None, None, None
-        kw = {}
-        for k, v in zip(('linestyle', 'marker', 'color'),
-                        (linestyle, marker, color)):
-            if v is not None:
-                kw[k] = v
 
-        y = np.atleast_1d(tup[-1])
+        # Don't allow any None value; these would be up-converted to one
+        # element array of None which causes problems downstream.
+        if any(v is None for v in tup):
+            raise ValueError("x, y, and format string must not be None")
 
-        if len(tup) == 2:
-            x = np.atleast_1d(tup[0])
+        kw = {}
+        for prop_name, val in zip(('linestyle', 'marker', 'color'),
+                                  (linestyle, marker, color)):
+            if val is not None:
+                # check for conflicts between fmt and kwargs
+                if (fmt.lower() != 'none'
+                        and prop_name in kwargs
+                        and val != 'None'):
+                    # Technically ``plot(x, y, 'o', ls='--')`` is a conflict
+                    # because 'o' implicitly unsets the linestyle
+                    # (linestyle='None').
+                    # We'll gracefully not warn in this case because an
+                    # explicit set via kwargs can be seen as intention to
+                    # override an implicit unset.
+                    # Note: We don't val.lower() != 'none' because val is not
+                    # necessarily a string (can be a tuple for colors). This
+                    # is safe, because *val* comes from _process_plot_format()
+                    # which only returns 'None'.
+                    _api.warn_external(
+                        f"{prop_name} is redundantly defined by the "
+                        f"'{prop_name}' keyword argument and the fmt string "
+                        f'"{fmt}" (-> {prop_name}={val!r}). The keyword '
+                        f"argument will take precedence.")
+                kw[prop_name] = val
+
+        if len(xy) == 2:
+            x = _check_1d(xy[0])
+            y = _check_1d(xy[1])
         else:
-            x = np.arange(y.shape[0], dtype=float)
+            x, y = index_of(xy[-1])
 
-        x, y = self._xy_from_xy(x, y)
+        if axes.xaxis is not None:
+            axes.xaxis.update_units(x)
+        if axes.yaxis is not None:
+            axes.yaxis.update_units(y)
 
-        if self.command == 'plot':
-            func = self._makeline
-        else:
+        if x.shape[0] != y.shape[0]:
+            raise ValueError(f"x and y must have same first dimension, but "
+                             f"have shapes {x.shape} and {y.shape}")
+        if x.ndim > 2 or y.ndim > 2:
+            raise ValueError(f"x and y can be no greater than 2D, but have "
+                             f"shapes {x.shape} and {y.shape}")
+        if x.ndim == 1:
+            x = x[:, np.newaxis]
+        if y.ndim == 1:
+            y = y[:, np.newaxis]
+
+        if self.output == 'Line2D':
+            make_artist = self._make_line
+        elif self.output == 'Polygon':
             kw['closed'] = kwargs.get('closed', True)
-            func = self._makefill
+            make_artist = self._make_polygon
+        elif self.output == 'coordinates':
+            make_artist = self._make_coordinates
+        else:
+            _api.check_in_list(['Line2D', 'Polygon', 'coordinates'], output=self.output)
 
         ncx, ncy = x.shape[1], y.shape[1]
-        for j in xrange(max(ncx, ncy)):
-            seg = func(x[:, j % ncx], y[:, j % ncy], kw, kwargs)
-            ret.append(seg)
-        return ret
+        if ncx > 1 and ncy > 1 and ncx != ncy:
+            raise ValueError(f"x has {ncx} columns but y has {ncy} columns")
+        if ncx == 0 or ncy == 0:
+            return []
+
+        label = kwargs.get('label')
+        n_datasets = max(ncx, ncy)
+
+        if cbook.is_scalar_or_string(label):
+            labels = [label] * n_datasets
+        elif len(label) == n_datasets:
+            labels = label
+        else:
+            raise ValueError(
+                f"label must be scalar or have the same length as the input "
+                f"data, but found {len(label)} for {n_datasets} datasets.")
 
-    def _grab_next_args(self, *args, **kwargs):
+        result = (make_artist(axes, x[:, j % ncx], y[:, j % ncy], kw,
+                              {**kwargs, 'label': label})
+                  for j, label in enumerate(labels))
 
-        remaining = args
-        while 1:
+        if return_kwargs:
+            return list(result)
+        else:
+            return [l[0] for l in result]
 
-            if len(remaining) == 0:
-                return
-            if len(remaining) <= 3:
-                for seg in self._plot_args(remaining, kwargs):
-                    yield seg
-                return
 
-            if is_string_like(remaining[2]):
-                isplit = 3
-            else:
-                isplit = 2
+@_api.define_aliases({"facecolor": ["fc"]})
+class _AxesBase(martist.Artist):
+    name = "rectilinear"
 
-            for seg in self._plot_args(remaining[:isplit], kwargs):
-                yield seg
-            remaining = remaining[isplit:]
+    # axis names are the prefixes for the attributes that contain the
+    # respective axis; e.g. 'x' <-> self.xaxis, containing an XAxis.
+    # Note that PolarAxes uses these attributes as well, so that we have
+    # 'x' <-> self.xaxis, containing a ThetaAxis. In particular we do not
+    # have 'theta' in _axis_names.
+    # In practice, this is ('x', 'y') for all 2D Axes and ('x', 'y', 'z')
+    # for Axes3D.
+    _axis_names = ("x", "y")
+    _shared_axes = {name: cbook.Grouper() for name in _axis_names}
+    _twinned_axes = cbook.Grouper()
 
+    _subclass_uses_cla = False
 
-class _AxesBase(martist.Artist):
+    dataLim: mtransforms.Bbox
+    """The bounding `.Bbox` enclosing all data displayed in the Axes."""
+
+    spines: mspines.Spines
     """
+    The `.Spines` container for the Axes' spines, i.e. the lines denoting the
+    data area boundaries.
     """
-    name = "rectilinear"
 
-    _shared_x_axes = cbook.Grouper()
-    _shared_y_axes = cbook.Grouper()
+    xaxis: maxis.XAxis
+    """
+    The `.XAxis` instance.
+
+    Common axis-related configuration can be achieved through high-level wrapper
+    methods on Axes; e.g. `ax.set_xticks <.Axes.set_xticks>` is a shortcut for
+    `ax.xaxis.set_ticks <.Axis.set_ticks>`. The *xaxis* attribute gives direct
+    direct access to the underlying `~.axis.Axis` if you need more control.
+
+    See also
+
+    - :ref:`Axis wrapper methods on Axes <axes-api-axis>`
+    - :doc:`Axis API </api/axis_api>`
+    """
+
+    yaxis: maxis.YAxis
+    """
+    The `.YAxis` instance.
+
+    Common axis-related configuration can be achieved through high-level wrapper
+    methods on Axes; e.g. `ax.set_yticks <.Axes.set_yticks>` is a shortcut for
+    `ax.yaxis.set_ticks <.Axis.set_ticks>`. The *yaxis* attribute gives direct
+    access to the underlying `~.axis.Axis` if you need more control.
+
+    See also
+
+    - :ref:`Axis wrapper methods on Axes <axes-api-axis>`
+    - :doc:`Axis API </api/axis_api>`
+    """
 
     def __str__(self):
-        return "Axes(%g,%g;%gx%g)" % tuple(self._position.bounds)
+        return "{0}({1[0]:g},{1[1]:g};{1[2]:g}x{1[3]:g})".format(
+            type(self).__name__, self._position.bounds)
 
-    def __init__(self, fig, rect,
-                 axisbg=None,  # defaults to rc axes.facecolor
+    def __init__(self, fig,
+                 *args,
+                 facecolor=None,  # defaults to rc axes.facecolor
                  frameon=True,
                  sharex=None,  # use Axes instance's xaxis info
                  sharey=None,  # use Axes instance's yaxis info
                  label='',
                  xscale=None,
                  yscale=None,
+                 box_aspect=None,
+                 forward_navigation_events="auto",
                  **kwargs
                  ):
         """
-        Build an :class:`Axes` instance in
-        :class:`~matplotlib.figure.Figure` *fig* with
-        *rect=[left, bottom, width, height]* in
-        :class:`~matplotlib.figure.Figure` coordinates
-
-        Optional keyword arguments:
-
-          ================   =========================================
-          Keyword            Description
-          ================   =========================================
-          *adjustable*       [ 'box' | 'datalim' | 'box-forced']
-          *alpha*            float: the alpha transparency (can be None)
-          *anchor*           [ 'C', 'SW', 'S', 'SE', 'E', 'NE', 'N',
-                               'NW', 'W' ]
-          *aspect*           [ 'auto' | 'equal' | aspect_ratio ]
-          *autoscale_on*     [ *True* | *False* ] whether or not to
-                             autoscale the *viewlim*
-          *axis_bgcolor*     any matplotlib color, see
-                             :func:`~matplotlib.pyplot.colors`
-          *axisbelow*        draw the grids and ticks below the other
-                             artists
-          *cursor_props*     a (*float*, *color*) tuple
-          *figure*           a :class:`~matplotlib.figure.Figure`
-                             instance
-          *frame_on*         a boolean - draw the axes frame
-          *label*            the axes label
-          *navigate*         [ *True* | *False* ]
-          *navigate_mode*    [ 'PAN' | 'ZOOM' | None ] the navigation
-                             toolbar button status
-          *position*         [left, bottom, width, height] in
-                             class:`~matplotlib.figure.Figure` coords
-          *sharex*           an class:`~matplotlib.axes.Axes` instance
-                             to share the x-axis with
-          *sharey*           an class:`~matplotlib.axes.Axes` instance
-                             to share the y-axis with
-          *title*            the title string
-          *visible*          [ *True* | *False* ] whether the axes is
-                             visible
-          *xlabel*           the xlabel
-          *xlim*             (*xmin*, *xmax*) view limits
-          *xscale*           [%(scale)s]
-          *xticklabels*      sequence of strings
-          *xticks*           sequence of floats
-          *ylabel*           the ylabel strings
-          *ylim*             (*ymin*, *ymax*) view limits
-          *yscale*           [%(scale)s]
-          *yticklabels*      sequence of strings
-          *yticks*           sequence of floats
-          ================   =========================================
-        """ % {'scale': ' | '.join(
-            [repr(x) for x in mscale.get_scale_names()])}
-        martist.Artist.__init__(self)
-        if isinstance(rect, mtransforms.Bbox):
-            self._position = rect
+        Build an Axes in a figure.
+
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+            The Axes is built in the `.Figure` *fig*.
+
+        *args
+            ``*args`` can be a single ``(left, bottom, width, height)``
+            rectangle or a single `.Bbox`.  This specifies the rectangle (in
+            figure coordinates) where the Axes is positioned.
+
+            ``*args`` can also consist of three numbers or a single three-digit
+            number; in the latter case, the digits are considered as
+            independent numbers.  The numbers are interpreted as ``(nrows,
+            ncols, index)``: ``(nrows, ncols)`` specifies the size of an array
+            of subplots, and ``index`` is the 1-based index of the subplot
+            being created.  Finally, ``*args`` can also directly be a
+            `.SubplotSpec` instance.
+
+        sharex, sharey : `~matplotlib.axes.Axes`, optional
+            The x- or y-`~.matplotlib.axis` is shared with the x- or y-axis in
+            the input `~.axes.Axes`.  Note that it is not possible to unshare
+            axes.
+
+        frameon : bool, default: True
+            Whether the Axes frame is visible.
+
+        box_aspect : float, optional
+            Set a fixed aspect for the Axes box, i.e. the ratio of height to
+            width. See `~.axes.Axes.set_box_aspect` for details.
+
+        forward_navigation_events : bool or "auto", default: "auto"
+            Control whether pan/zoom events are passed through to Axes below
+            this one. "auto" is *True* for axes with an invisible patch and
+            *False* otherwise.
+
+        **kwargs
+            Other optional keyword arguments:
+
+            %(Axes:kwdoc)s
+
+        Returns
+        -------
+        `~.axes.Axes`
+            The new `~.axes.Axes` object.
+        """
+
+        super().__init__()
+        if "rect" in kwargs:
+            if args:
+                raise TypeError(
+                    "'rect' cannot be used together with positional arguments")
+            rect = kwargs.pop("rect")
+            _api.check_isinstance((mtransforms.Bbox, Iterable), rect=rect)
+            args = (rect,)
+        subplotspec = None
+        if len(args) == 1 and isinstance(args[0], mtransforms.Bbox):
+            self._position = args[0].frozen()
+        elif len(args) == 1 and np.iterable(args[0]):
+            self._position = mtransforms.Bbox.from_bounds(*args[0])
         else:
-            self._position = mtransforms.Bbox.from_bounds(*rect)
+            self._position = self._originalPosition = mtransforms.Bbox.unit()
+            subplotspec = SubplotSpec._from_subplot_args(fig, args)
+        if self._position.width < 0 or self._position.height < 0:
+            raise ValueError('Width and height specified must be non-negative')
         self._originalPosition = self._position.frozen()
-        self.set_axes(self)
-        self.set_aspect('auto')
+        self.axes = self
+        self._aspect = 'auto'
         self._adjustable = 'box'
-        self.set_anchor('C')
+        self._anchor = 'C'
+        self._stale_viewlims = dict.fromkeys(self._axis_names, False)
+        self._forward_navigation_events = forward_navigation_events
         self._sharex = sharex
         self._sharey = sharey
-        if sharex is not None:
-            self._shared_x_axes.join(self, sharex)
-            if sharex._adjustable == 'box':
-                sharex._adjustable = 'datalim'
-                #warnings.warn(
-                #    'shared axes: "adjustable" is being changed to "datalim"')
-            self._adjustable = 'datalim'
-        if sharey is not None:
-            self._shared_y_axes.join(self, sharey)
-            if sharey._adjustable == 'box':
-                sharey._adjustable = 'datalim'
-                #warnings.warn(
-                #    'shared axes: "adjustable" is being changed to "datalim"')
-            self._adjustable = 'datalim'
         self.set_label(label)
         self.set_figure(fig)
-
-        self.set_axes_locator(kwargs.get("axes_locator", None))
-
-        self.spines = self._gen_axes_spines()
-
-        # this call may differ for non-sep axes, e.g., polar
-        self._init_axis()
-
-        if axisbg is None:
-            axisbg = rcParams['axes.facecolor']
-        self._axisbg = axisbg
+        # The subplotspec needs to be set after the figure (so that
+        # figure-level subplotpars are taken into account), but the figure
+        # needs to be set after self._position is initialized.
+        if subplotspec:
+            self.set_subplotspec(subplotspec)
+        else:
+            self._subplotspec = None
+        self.set_box_aspect(box_aspect)
+        self._axes_locator = None  # Optionally set via update(kwargs).
+
+        self._children = []
+
+        # placeholder for any colorbars added that use this Axes.
+        # (see colorbar.py):
+        self._colorbars = []
+        self.spines = mspines.Spines.from_dict(self._gen_axes_spines())
+
+        self.xaxis = None  # will be populated in _init_axis()
+        self.yaxis = None  # will be populated in _init_axis()
+        self._init_axis()  # this call may differ for non-sep axes, e.g., polar
+        self._axis_map = {
+            name: getattr(self, f"{name}axis") for name in self._axis_names
+        }  # A mapping of axis names, e.g. 'x', to `Axis` instances.
+        self._facecolor = mpl._val_or_rc(facecolor, 'axes.facecolor')
         self._frameon = frameon
-        self._axisbelow = rcParams['axes.axisbelow']
+        self.set_axisbelow(mpl.rcParams['axes.axisbelow'])
 
         self._rasterization_zorder = None
+        self.clear()
 
-        self._hold = rcParams['axes.hold']
-        self._connected = {}  # a dict from events to (id, func)
-        self.cla()
         # funcs used to format x and y - fall back on major formatters
         self.fmt_xdata = None
         self.fmt_ydata = None
 
-        self.set_cursor_props((1, 'k'))  # set the cursor properties for axes
-
-        self._cachedRenderer = None
         self.set_navigate(True)
         self.set_navigate_mode(None)
 
@@ -449,77 +731,200 @@ def __init__(self, fig, rect,
         if yscale:
             self.set_yscale(yscale)
 
-        if len(kwargs):
-            self.update(kwargs)
+        self._internal_update(kwargs)
+
+        for name, axis in self._axis_map.items():
+            axis.callbacks._connect_picklable(
+                'units', self._unit_change_handler(name))
+
+        rcParams = mpl.rcParams
+        self.tick_params(
+            top=rcParams['xtick.top'] and rcParams['xtick.minor.top'],
+            bottom=rcParams['xtick.bottom'] and rcParams['xtick.minor.bottom'],
+            labeltop=(rcParams['xtick.labeltop'] and
+                      rcParams['xtick.minor.top']),
+            labelbottom=(rcParams['xtick.labelbottom'] and
+                         rcParams['xtick.minor.bottom']),
+            left=rcParams['ytick.left'] and rcParams['ytick.minor.left'],
+            right=rcParams['ytick.right'] and rcParams['ytick.minor.right'],
+            labelleft=(rcParams['ytick.labelleft'] and
+                       rcParams['ytick.minor.left']),
+            labelright=(rcParams['ytick.labelright'] and
+                        rcParams['ytick.minor.right']),
+            which='minor')
+
+        self.tick_params(
+            top=rcParams['xtick.top'] and rcParams['xtick.major.top'],
+            bottom=rcParams['xtick.bottom'] and rcParams['xtick.major.bottom'],
+            labeltop=(rcParams['xtick.labeltop'] and
+                      rcParams['xtick.major.top']),
+            labelbottom=(rcParams['xtick.labelbottom'] and
+                         rcParams['xtick.major.bottom']),
+            left=rcParams['ytick.left'] and rcParams['ytick.major.left'],
+            right=rcParams['ytick.right'] and rcParams['ytick.major.right'],
+            labelleft=(rcParams['ytick.labelleft'] and
+                       rcParams['ytick.major.left']),
+            labelright=(rcParams['ytick.labelright'] and
+                        rcParams['ytick.major.right']),
+            which='major')
+
+    def __init_subclass__(cls, **kwargs):
+        parent_uses_cla = super(cls, cls)._subclass_uses_cla
+        if 'cla' in cls.__dict__:
+            _api.warn_deprecated(
+                '3.6',
+                pending=True,
+                message=f'Overriding `Axes.cla` in {cls.__qualname__} is '
+                'pending deprecation in %(since)s and will be fully '
+                'deprecated in favor of `Axes.clear` in the future. '
+                'Please report '
+                f'this to the {cls.__module__!r} author.')
+        cls._subclass_uses_cla = 'cla' in cls.__dict__ or parent_uses_cla
+        super().__init_subclass__(**kwargs)
 
-        if self.xaxis is not None:
-            self._xcid = self.xaxis.callbacks.connect('units finalize',
-                                                      self.relim)
-
-        if self.yaxis is not None:
-            self._ycid = self.yaxis.callbacks.connect('units finalize',
-                                                      self.relim)
+    def __getstate__(self):
+        state = super().__getstate__()
+        # Prune the sharing & twinning info to only contain the current group.
+        state["_shared_axes"] = {
+            name: self._shared_axes[name].get_siblings(self)
+            for name in self._axis_names if self in self._shared_axes[name]}
+        state["_twinned_axes"] = (self._twinned_axes.get_siblings(self)
+                                  if self in self._twinned_axes else None)
+        return state
 
     def __setstate__(self, state):
+        # Merge the grouping info back into the global groupers.
+        shared_axes = state.pop("_shared_axes")
+        for name, shared_siblings in shared_axes.items():
+            self._shared_axes[name].join(*shared_siblings)
+        twinned_siblings = state.pop("_twinned_axes")
+        if twinned_siblings:
+            self._twinned_axes.join(*twinned_siblings)
         self.__dict__ = state
-        # put the _remove_method back on all artists contained within the axes
-        for container_name in ['lines', 'collections', 'tables', 'patches',
-                               'texts', 'images']:
-            container = getattr(self, container_name)
-            for artist in container:
-                artist._remove_method = container.remove
-
-    def get_window_extent(self, *args, **kwargs):
-        """
-        get the axes bounding box in display space; *args* and
-        *kwargs* are empty
+        self._stale = True
+
+    def __repr__(self):
+        fields = []
+        if self.get_label():
+            fields += [f"label={self.get_label()!r}"]
+        if hasattr(self, "get_title"):
+            titles = {}
+            for k in ["left", "center", "right"]:
+                title = self.get_title(loc=k)
+                if title:
+                    titles[k] = title
+            if titles:
+                fields += [f"title={titles}"]
+        for name, axis in self._axis_map.items():
+            if axis.label and axis.label.get_text():
+                fields += [f"{name}label={axis.label.get_text()!r}"]
+        return f"<{self.__class__.__name__}: " + ", ".join(fields) + ">"
+
+    def get_subplotspec(self):
+        """Return the `.SubplotSpec` associated with the subplot, or None."""
+        return self._subplotspec
+
+    def set_subplotspec(self, subplotspec):
+        """Set the `.SubplotSpec`. associated with the subplot."""
+        self._subplotspec = subplotspec
+        self._set_position(subplotspec.get_position(self.get_figure(root=False)))
+
+    def get_gridspec(self):
+        """Return the `.GridSpec` associated with the subplot, or None."""
+        return self._subplotspec.get_gridspec() if self._subplotspec else None
+
+    def get_window_extent(self, renderer=None):
+        """
+        Return the Axes bounding box in display space.
+
+        This bounding box does not include the spines, ticks, ticklabels,
+        or other labels.  For a bounding box including these elements use
+        `~matplotlib.axes.Axes.get_tightbbox`.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.get_tightbbox
+        matplotlib.axis.Axis.get_tightbbox
+        matplotlib.spines.Spine.get_window_extent
         """
         return self.bbox
 
     def _init_axis(self):
-        "move this out of __init__ because non-separable axes don't use it"
-        self.xaxis = maxis.XAxis(self)
-        self.spines['bottom'].register_axis(self.xaxis)
-        self.spines['top'].register_axis(self.xaxis)
-        self.yaxis = maxis.YAxis(self)
-        self.spines['left'].register_axis(self.yaxis)
-        self.spines['right'].register_axis(self.yaxis)
-        self._update_transScale()
+        # This is moved out of __init__ because non-separable axes don't use it
+        self.xaxis = maxis.XAxis(self, clear=False)
+        self.spines.bottom.register_axis(self.xaxis)
+        self.spines.top.register_axis(self.xaxis)
+        self.yaxis = maxis.YAxis(self, clear=False)
+        self.spines.left.register_axis(self.yaxis)
+        self.spines.right.register_axis(self.yaxis)
 
     def set_figure(self, fig):
-        """
-        Set the class:`~matplotlib.axes.Axes` figure
-
-        accepts a class:`~matplotlib.figure.Figure` instance
-        """
-        martist.Artist.set_figure(self, fig)
+        # docstring inherited
+        super().set_figure(fig)
 
         self.bbox = mtransforms.TransformedBbox(self._position,
-                                                fig.transFigure)
+                                                fig.transSubfigure)
         # these will be updated later as data is added
         self.dataLim = mtransforms.Bbox.null()
-        self.viewLim = mtransforms.Bbox.unit()
+        self._viewLim = mtransforms.Bbox.unit()
         self.transScale = mtransforms.TransformWrapper(
             mtransforms.IdentityTransform())
 
         self._set_lim_and_transforms()
 
+    def _unstale_viewLim(self):
+        # We should arrange to store this information once per share-group
+        # instead of on every axis.
+        need_scale = {
+            name: any(ax._stale_viewlims[name]
+                      for ax in self._shared_axes[name].get_siblings(self))
+            for name in self._axis_names}
+        if any(need_scale.values()):
+            for name in need_scale:
+                for ax in self._shared_axes[name].get_siblings(self):
+                    ax._stale_viewlims[name] = False
+            self.autoscale_view(**{f"scale{name}": scale
+                                   for name, scale in need_scale.items()})
+
+    @property
+    def viewLim(self):
+        """The view limits as `.Bbox` in data coordinates."""
+        self._unstale_viewLim()
+        return self._viewLim
+
+    def _request_autoscale_view(self, axis="all", tight=None):
+        """
+        Mark a single axis, or all of them, as stale wrt. autoscaling.
+
+        No computation is performed until the next autoscaling; thus, separate
+        calls to control individual axises incur negligible performance cost.
+
+        Parameters
+        ----------
+        axis : str, default: "all"
+            Either an element of ``self._axis_names``, or "all".
+        tight : bool or None, default: None
+        """
+        axis_names = _api.check_getitem(
+            {**{k: [k] for k in self._axis_names}, "all": self._axis_names},
+            axis=axis)
+        for name in axis_names:
+            self._stale_viewlims[name] = True
+        if tight is not None:
+            self._tight = tight
+
     def _set_lim_and_transforms(self):
         """
-        set the *dataLim* and *viewLim*
-        :class:`~matplotlib.transforms.Bbox` attributes and the
-        *transScale*, *transData*, *transLimits* and *transAxes*
-        transformations.
+        Set the *_xaxis_transform*, *_yaxis_transform*, *transScale*,
+        *transData*, *transLimits* and *transAxes* transformations.
 
         .. note::
 
-            This method is primarily used by rectilinear projections
-            of the :class:`~matplotlib.axes.Axes` class, and is meant
-            to be overridden by new kinds of projection axes that need
-            different transformations and limits. (See
-            :class:`~matplotlib.projections.polar.PolarAxes` for an
-            example.
-
+            This method is primarily used by rectilinear projections of the
+            `~matplotlib.axes.Axes` class, and is meant to be overridden by
+            new kinds of projection Axes that need different transformations
+            and limits. (See `~matplotlib.projections.polar.PolarAxes` for an
+            example.)
         """
         self.transAxes = mtransforms.BboxTransformTo(self.bbox)
 
@@ -532,7 +937,7 @@ def _set_lim_and_transforms(self):
         # An affine transformation on the data, generally to limit the
         # range of the axes
         self.transLimits = mtransforms.BboxTransformFrom(
-            mtransforms.TransformedBbox(self.viewLim, self.transScale))
+            mtransforms.TransformedBbox(self._viewLim, self.transScale))
 
         # The parentheses are important for efficiency here -- they
         # group the last two (which are usually affines) separately
@@ -553,73 +958,78 @@ def get_xaxis_transform(self, which='grid'):
         .. note::
 
             This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
+            `~matplotlib.axis.Axis` class, and is meant to be
             overridden by new kinds of projections that may need to
             place axis elements in different locations.
 
+        Parameters
+        ----------
+        which : {'grid', 'tick1', 'tick2'}
         """
         if which == 'grid':
             return self._xaxis_transform
         elif which == 'tick1':
             # for cartesian projection, this is bottom spine
-            return self.spines['bottom'].get_spine_transform()
+            return self.spines.bottom.get_spine_transform()
         elif which == 'tick2':
             # for cartesian projection, this is top spine
-            return self.spines['top'].get_spine_transform()
+            return self.spines.top.get_spine_transform()
         else:
-            raise ValueError('unknown value for which')
+            raise ValueError(f'unknown value for which: {which!r}')
 
     def get_xaxis_text1_transform(self, pad_points):
         """
-        Get the transformation used for drawing x-axis labels, which
-        will add the given amount of padding (in points) between the
-        axes and the label.  The x-direction is in data coordinates
-        and the y-direction is in axis coordinates.  Returns a
-        3-tuple of the form::
-
-          (transform, valign, halign)
-
-        where *valign* and *halign* are requested alignments for the
-        text.
-
-        .. note::
-
-            This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
-            overridden by new kinds of projections that may need to
-            place axis elements in different locations.
-
-        """
+        Returns
+        -------
+        transform : Transform
+            The transform used for drawing x-axis labels, which will add
+            *pad_points* of padding (in points) between the axis and the label.
+            The x-direction is in data coordinates and the y-direction is in
+            axis coordinates
+        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
+            The text vertical alignment.
+        halign : {'center', 'left', 'right'}
+            The text horizontal alignment.
+
+        Notes
+        -----
+        This transformation is primarily used by the `~matplotlib.axis.Axis`
+        class, and is meant to be overridden by new kinds of projections that
+        may need to place axis elements in different locations.
+        """
+        labels_align = mpl.rcParams["xtick.alignment"]
         return (self.get_xaxis_transform(which='tick1') +
-                mtransforms.ScaledTranslation(0, -1 * pad_points / 72.0,
-                                              self.figure.dpi_scale_trans),
-                "top", "center")
+                mtransforms.ScaledTranslation(
+                    0, -1 * pad_points / 72,
+                    self.get_figure(root=False).dpi_scale_trans),
+                "top", labels_align)
 
     def get_xaxis_text2_transform(self, pad_points):
         """
-        Get the transformation used for drawing the secondary x-axis
-        labels, which will add the given amount of padding (in points)
-        between the axes and the label.  The x-direction is in data
-        coordinates and the y-direction is in axis coordinates.
-        Returns a 3-tuple of the form::
-
-          (transform, valign, halign)
-
-        where *valign* and *halign* are requested alignments for the
-        text.
-
-        .. note::
-
-            This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
-            overridden by new kinds of projections that may need to
-            place axis elements in different locations.
-
-        """
+        Returns
+        -------
+        transform : Transform
+            The transform used for drawing secondary x-axis labels, which will
+            add *pad_points* of padding (in points) between the axis and the
+            label.  The x-direction is in data coordinates and the y-direction
+            is in axis coordinates
+        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
+            The text vertical alignment.
+        halign : {'center', 'left', 'right'}
+            The text horizontal alignment.
+
+        Notes
+        -----
+        This transformation is primarily used by the `~matplotlib.axis.Axis`
+        class, and is meant to be overridden by new kinds of projections that
+        may need to place axis elements in different locations.
+        """
+        labels_align = mpl.rcParams["xtick.alignment"]
         return (self.get_xaxis_transform(which='tick2') +
-                mtransforms.ScaledTranslation(0, pad_points / 72.0,
-                                              self.figure.dpi_scale_trans),
-                "bottom", "center")
+                mtransforms.ScaledTranslation(
+                    0, pad_points / 72,
+                    self.get_figure(root=False).dpi_scale_trans),
+                "bottom", labels_align)
 
     def get_yaxis_transform(self, which='grid'):
         """
@@ -630,592 +1040,1003 @@ def get_yaxis_transform(self, which='grid'):
         .. note::
 
             This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
+            `~matplotlib.axis.Axis` class, and is meant to be
             overridden by new kinds of projections that may need to
             place axis elements in different locations.
 
+        Parameters
+        ----------
+        which : {'grid', 'tick1', 'tick2'}
         """
         if which == 'grid':
             return self._yaxis_transform
         elif which == 'tick1':
             # for cartesian projection, this is bottom spine
-            return self.spines['left'].get_spine_transform()
+            return self.spines.left.get_spine_transform()
         elif which == 'tick2':
             # for cartesian projection, this is top spine
-            return self.spines['right'].get_spine_transform()
+            return self.spines.right.get_spine_transform()
         else:
-            raise ValueError('unknown value for which')
+            raise ValueError(f'unknown value for which: {which!r}')
 
     def get_yaxis_text1_transform(self, pad_points):
         """
-        Get the transformation used for drawing y-axis labels, which
-        will add the given amount of padding (in points) between the
-        axes and the label.  The x-direction is in axis coordinates
-        and the y-direction is in data coordinates.  Returns a 3-tuple
-        of the form::
-
-          (transform, valign, halign)
-
-        where *valign* and *halign* are requested alignments for the
-        text.
-
-        .. note::
-
-            This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
-            overridden by new kinds of projections that may need to
-            place axis elements in different locations.
-
-        """
+        Returns
+        -------
+        transform : Transform
+            The transform used for drawing y-axis labels, which will add
+            *pad_points* of padding (in points) between the axis and the label.
+            The x-direction is in axis coordinates and the y-direction is in
+            data coordinates
+        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
+            The text vertical alignment.
+        halign : {'center', 'left', 'right'}
+            The text horizontal alignment.
+
+        Notes
+        -----
+        This transformation is primarily used by the `~matplotlib.axis.Axis`
+        class, and is meant to be overridden by new kinds of projections that
+        may need to place axis elements in different locations.
+        """
+        labels_align = mpl.rcParams["ytick.alignment"]
         return (self.get_yaxis_transform(which='tick1') +
-                mtransforms.ScaledTranslation(-1 * pad_points / 72.0, 0,
-                                              self.figure.dpi_scale_trans),
-                "center", "right")
+                mtransforms.ScaledTranslation(
+                    -1 * pad_points / 72, 0,
+                    self.get_figure(root=False).dpi_scale_trans),
+                labels_align, "right")
 
     def get_yaxis_text2_transform(self, pad_points):
         """
-        Get the transformation used for drawing the secondary y-axis
-        labels, which will add the given amount of padding (in points)
-        between the axes and the label.  The x-direction is in axis
-        coordinates and the y-direction is in data coordinates.
-        Returns a 3-tuple of the form::
-
-          (transform, valign, halign)
-
-        where *valign* and *halign* are requested alignments for the
-        text.
-
-        .. note::
-
-            This transformation is primarily used by the
-            :class:`~matplotlib.axis.Axis` class, and is meant to be
-            overridden by new kinds of projections that may need to
-            place axis elements in different locations.
-
-        """
+        Returns
+        -------
+        transform : Transform
+            The transform used for drawing secondary y-axis labels, which will
+            add *pad_points* of padding (in points) between the axis and the
+            label.  The x-direction is in axis coordinates and the y-direction
+            is in data coordinates
+        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
+            The text vertical alignment.
+        halign : {'center', 'left', 'right'}
+            The text horizontal alignment.
+
+        Notes
+        -----
+        This transformation is primarily used by the `~matplotlib.axis.Axis`
+        class, and is meant to be overridden by new kinds of projections that
+        may need to place axis elements in different locations.
+        """
+        labels_align = mpl.rcParams["ytick.alignment"]
         return (self.get_yaxis_transform(which='tick2') +
-                mtransforms.ScaledTranslation(pad_points / 72.0, 0,
-                                              self.figure.dpi_scale_trans),
-                "center", "left")
+                mtransforms.ScaledTranslation(
+                    pad_points / 72, 0,
+                    self.get_figure(root=False).dpi_scale_trans),
+                labels_align, "left")
 
     def _update_transScale(self):
         self.transScale.set(
             mtransforms.blended_transform_factory(
                 self.xaxis.get_transform(), self.yaxis.get_transform()))
-        if hasattr(self, "lines"):
-            for line in self.lines:
-                try:
-                    line._transformed_path.invalidate()
-                except AttributeError:
-                    pass
 
     def get_position(self, original=False):
-        'Return the a copy of the axes rectangle as a Bbox'
+        """
+        Return the position of the Axes within the figure as a `.Bbox`.
+
+        Parameters
+        ----------
+        original : bool
+            If ``True``, return the original position. Otherwise, return the
+            active position. For an explanation of the positions see
+            `.set_position`.
+
+        Returns
+        -------
+        `.Bbox`
+
+        """
         if original:
             return self._originalPosition.frozen()
         else:
+            locator = self.get_axes_locator()
+            if not locator:
+                self.apply_aspect()
             return self._position.frozen()
 
     def set_position(self, pos, which='both'):
         """
-        Set the axes position with::
-
-          pos = [left, bottom, width, height]
+        Set the Axes position.
 
-        in relative 0,1 coords, or *pos* can be a
-        :class:`~matplotlib.transforms.Bbox`
+        Axes have two position attributes. The 'original' position is the
+        position allocated for the Axes. The 'active' position is the
+        position the Axes is actually drawn at. These positions are usually
+        the same unless a fixed aspect is set to the Axes. See
+        `.Axes.set_aspect` for details.
 
-        There are two position variables: one which is ultimately
-        used, but which may be modified by :meth:`apply_aspect`, and a
-        second which is the starting point for :meth:`apply_aspect`.
+        Parameters
+        ----------
+        pos : [left, bottom, width, height] or `~matplotlib.transforms.Bbox`
+            The new position of the Axes in `.Figure` coordinates.
 
+        which : {'both', 'active', 'original'}, default: 'both'
+            Determines which position variables to change.
 
-        Optional keyword arguments:
-          *which*
+        See Also
+        --------
+        matplotlib.transforms.Bbox.from_bounds
+        matplotlib.transforms.Bbox.from_extents
+        """
+        self._set_position(pos, which=which)
+        # because this is being called externally to the library we
+        # don't let it be in the layout.
+        self.set_in_layout(False)
 
-            ==========   ====================
-            value        description
-            ==========   ====================
-            'active'     to change the first
-            'original'   to change the second
-            'both'       to change both
-            ==========   ====================
+    def _set_position(self, pos, which='both'):
+        """
+        Private version of set_position.
 
+        Call this internally to get the same functionality of `set_position`,
+        but not to take the axis out of the constrained_layout hierarchy.
         """
         if not isinstance(pos, mtransforms.BboxBase):
             pos = mtransforms.Bbox.from_bounds(*pos)
-        if which in ('both', 'active'):
-            self._position.set(pos)
-        if which in ('both', 'original'):
-            self._originalPosition.set(pos)
+        for ax in self._twinned_axes.get_siblings(self):
+            if which in ('both', 'active'):
+                ax._position.set(pos)
+            if which in ('both', 'original'):
+                ax._originalPosition.set(pos)
+        self.stale = True
 
     def reset_position(self):
-        """Make the original position the active position"""
-        pos = self.get_position(original=True)
-        self.set_position(pos, which='active')
+        """
+        Reset the active position to the original position.
+
+        This undoes changes to the active position (as defined in
+        `.set_position`) which may have been performed to satisfy fixed-aspect
+        constraints.
+        """
+        for ax in self._twinned_axes.get_siblings(self):
+            pos = ax.get_position(original=True)
+            ax.set_position(pos, which='active')
 
     def set_axes_locator(self, locator):
         """
-        set axes_locator
+        Set the Axes locator.
 
-        ACCEPT: a callable object which takes an axes instance and renderer and
-                 returns a bbox.
+        Parameters
+        ----------
+        locator : Callable[[Axes, Renderer], Bbox]
         """
         self._axes_locator = locator
+        self.stale = True
 
     def get_axes_locator(self):
         """
-        return axes_locator
+        Return the axes_locator.
         """
         return self._axes_locator
 
     def _set_artist_props(self, a):
-        """set the boilerplate props for artists added to axes"""
-        a.set_figure(self.figure)
+        """Set the boilerplate props for artists added to Axes."""
+        a.set_figure(self.get_figure(root=False))
         if not a.is_transform_set():
             a.set_transform(self.transData)
 
-        a.set_axes(self)
+        a.axes = self
+        if a.get_mouseover():
+            self._mouseover_set.add(a)
 
     def _gen_axes_patch(self):
         """
-        Returns the patch used to draw the background of the axes.  It
-        is also used as the clipping path for any data elements on the
-        axes.
-
-        In the standard axes, this is a rectangle, but in other
-        projections it may not be.
-
-        .. note::
+        Returns
+        -------
+        Patch
+            The patch used to draw the background of the Axes.  It is also used
+            as the clipping path for any data elements on the Axes.
 
-            Intended to be overridden by new projection types.
+            In the standard Axes, this is a rectangle, but in other projections
+            it may not be.
 
+        Notes
+        -----
+        Intended to be overridden by new projection types.
         """
         return mpatches.Rectangle((0.0, 0.0), 1.0, 1.0)
 
     def _gen_axes_spines(self, locations=None, offset=0.0, units='inches'):
         """
-        Returns a dict whose keys are spine names and values are
-        Line2D or Patch instances. Each element is used to draw a
-        spine of the axes.
-
-        In the standard axes, this is a single line segment, but in
-        other projections it may not be.
-
-        .. note::
-
-            Intended to be overridden by new projection types.
+        Returns
+        -------
+        dict
+            Mapping of spine names to `.Line2D` or `.Patch` instances that are
+            used to draw Axes spines.
+
+            In the standard Axes, spines are single line segments, but in other
+            projections they may not be.
+
+        Notes
+        -----
+        Intended to be overridden by new projection types.
+        """
+        return {side: mspines.Spine.linear_spine(self, side)
+                for side in ['left', 'right', 'bottom', 'top']}
+
+    def sharex(self, other):
+        """
+        Share the x-axis with *other*.
+
+        This is equivalent to passing ``sharex=other`` when constructing the
+        Axes, and cannot be used if the x-axis is already being shared with
+        another Axes.  Note that it is not possible to unshare axes.
+        """
+        _api.check_isinstance(_AxesBase, other=other)
+        if self._sharex is not None and other is not self._sharex:
+            raise ValueError("x-axis is already shared")
+        self._shared_axes["x"].join(self, other)
+        self._sharex = other
+        self.xaxis.major = other.xaxis.major  # Ticker instances holding
+        self.xaxis.minor = other.xaxis.minor  # locator and formatter.
+        x0, x1 = other.get_xlim()
+        self.set_xlim(x0, x1, emit=False, auto=other.get_autoscalex_on())
+        self.xaxis._scale = other.xaxis._scale
+
+    def sharey(self, other):
+        """
+        Share the y-axis with *other*.
+
+        This is equivalent to passing ``sharey=other`` when constructing the
+        Axes, and cannot be used if the y-axis is already being shared with
+        another Axes.  Note that it is not possible to unshare axes.
+        """
+        _api.check_isinstance(_AxesBase, other=other)
+        if self._sharey is not None and other is not self._sharey:
+            raise ValueError("y-axis is already shared")
+        self._shared_axes["y"].join(self, other)
+        self._sharey = other
+        self.yaxis.major = other.yaxis.major  # Ticker instances holding
+        self.yaxis.minor = other.yaxis.minor  # locator and formatter.
+        y0, y1 = other.get_ylim()
+        self.set_ylim(y0, y1, emit=False, auto=other.get_autoscaley_on())
+        self.yaxis._scale = other.yaxis._scale
+
+    def __clear(self):
+        """Clear the Axes."""
+        # The actual implementation of clear() as long as clear() has to be
+        # an adapter delegating to the correct implementation.
+        # The implementation can move back into clear() when the
+        # deprecation on cla() subclassing expires.
+
+        # stash the current visibility state
+        if hasattr(self, 'patch'):
+            patch_visible = self.patch.get_visible()
+        else:
+            patch_visible = True
 
-        """
-        return {
-            'left': mspines.Spine.linear_spine(self, 'left'),
-            'right': mspines.Spine.linear_spine(self, 'right'),
-            'bottom': mspines.Spine.linear_spine(self, 'bottom'),
-            'top': mspines.Spine.linear_spine(self, 'top'), }
+        xaxis_visible = self.xaxis.get_visible()
+        yaxis_visible = self.yaxis.get_visible()
 
-    def cla(self):
-        """Clear the current axes."""
-        # Note: this is called by Axes.__init__()
-        self.xaxis.cla()
-        self.yaxis.cla()
-        for name, spine in six.iteritems(self.spines):
-            spine.cla()
+        for axis in self._axis_map.values():
+            axis.clear()  # Also resets the scale to linear.
+        for spine in self.spines.values():
+            spine._clear()  # Use _clear to not clear Axis again
 
         self.ignore_existing_data_limits = True
-        self.callbacks = cbook.CallbackRegistry()
-
-        if self._sharex is not None:
-            # major and minor are class instances with
-            # locator and formatter attributes
-            self.xaxis.major = self._sharex.xaxis.major
-            self.xaxis.minor = self._sharex.xaxis.minor
-            x0, x1 = self._sharex.get_xlim()
-            self.set_xlim(x0, x1, emit=False, auto=None)
-
-            # Save the current formatter/locator so we don't lose it
-            majf = self._sharex.xaxis.get_major_formatter()
-            minf = self._sharex.xaxis.get_minor_formatter()
-            majl = self._sharex.xaxis.get_major_locator()
-            minl = self._sharex.xaxis.get_minor_locator()
-
-            # This overwrites the current formatter/locator
-            self.xaxis._set_scale(self._sharex.xaxis.get_scale())
-
-            # Reset the formatter/locator
-            self.xaxis.set_major_formatter(majf)
-            self.xaxis.set_minor_formatter(minf)
-            self.xaxis.set_major_locator(majl)
-            self.xaxis.set_minor_locator(minl)
-        else:
-            self.xaxis._set_scale('linear')
-
-        if self._sharey is not None:
-            self.yaxis.major = self._sharey.yaxis.major
-            self.yaxis.minor = self._sharey.yaxis.minor
-            y0, y1 = self._sharey.get_ylim()
-            self.set_ylim(y0, y1, emit=False, auto=None)
-
-            # Save the current formatter/locator so we don't lose it
-            majf = self._sharey.yaxis.get_major_formatter()
-            minf = self._sharey.yaxis.get_minor_formatter()
-            majl = self._sharey.yaxis.get_major_locator()
-            minl = self._sharey.yaxis.get_minor_locator()
-
-            # This overwrites the current formatter/locator
-            self.yaxis._set_scale(self._sharey.yaxis.get_scale())
-
-            # Reset the formatter/locator
-            self.yaxis.set_major_formatter(majf)
-            self.yaxis.set_minor_formatter(minf)
-            self.yaxis.set_major_locator(majl)
-            self.yaxis.set_minor_locator(minl)
-        else:
-            self.yaxis._set_scale('linear')
-
-        self._autoscaleXon = True
-        self._autoscaleYon = True
-        self._xmargin = rcParams['axes.xmargin']
-        self._ymargin = rcParams['axes.ymargin']
-        self._tight = False
-        self._update_transScale()  # needed?
-
-        self._get_lines = _process_plot_var_args(self)
-        self._get_patches_for_fill = _process_plot_var_args(self, 'fill')
-
-        self._gridOn = rcParams['axes.grid']
-        self.lines = []
-        self.patches = []
-        self.texts = []
-        self.tables = []
-        self.artists = []
-        self.images = []
+        self.callbacks = cbook.CallbackRegistry(
+            signals=["xlim_changed", "ylim_changed", "zlim_changed"])
+
+        # update the minor locator for x and y axis based on rcParams
+        if mpl.rcParams['xtick.minor.visible']:
+            self.xaxis.set_minor_locator(mticker.AutoMinorLocator())
+        if mpl.rcParams['ytick.minor.visible']:
+            self.yaxis.set_minor_locator(mticker.AutoMinorLocator())
+
+        self._xmargin = mpl.rcParams['axes.xmargin']
+        self._ymargin = mpl.rcParams['axes.ymargin']
+        self._tight = None
+        self._use_sticky_edges = True
+
+        self._get_lines = _process_plot_var_args()
+        self._get_patches_for_fill = _process_plot_var_args('Polygon')
+
+        self._gridOn = mpl.rcParams['axes.grid']
+        # Swap children to minimize time we spend in an invalid state
+        old_children, self._children = self._children, []
+        for chld in old_children:
+            chld._remove_method = None
+            chld._parent_figure = None
+            chld.axes = None
+        # Use list.clear to break the `artist._remove_method` reference cycle
+        old_children.clear()
+        self._mouseover_set = _OrderedSet()
+        self.child_axes = []
         self._current_image = None  # strictly for pyplot via _sci, _gci
+        self._projection_init = None  # strictly for pyplot.subplot
         self.legend_ = None
-        self.collections = []  # collection.Collection instances
         self.containers = []
 
-        self.grid(self._gridOn, which=rcParams['axes.grid.which'])
-        props = font_manager.FontProperties(size=rcParams['axes.titlesize'],
-                                        weight=rcParams['axes.titleweight'])
+        self.grid(False)  # Disable grid on init to use rcParameter
+        self.grid(self._gridOn, which=mpl.rcParams['axes.grid.which'],
+                  axis=mpl.rcParams['axes.grid.axis'])
+        props = font_manager.FontProperties(
+            size=mpl.rcParams['axes.titlesize'],
+            weight=mpl.rcParams['axes.titleweight'])
+
+        y = mpl.rcParams['axes.titley']
+        if y is None:
+            y = 1.0
+            self._autotitlepos = True
+        else:
+            self._autotitlepos = False
 
-        self.titleOffsetTrans = mtransforms.ScaledTranslation(
-            0.0, 5.0 / 72.0, self.figure.dpi_scale_trans)
         self.title = mtext.Text(
-            x=0.5, y=1.0, text='',
+            x=0.5, y=y, text='',
             fontproperties=props,
             verticalalignment='baseline',
             horizontalalignment='center',
             )
         self._left_title = mtext.Text(
-            x=0.0, y=1.0, text='',
+            x=0.0, y=y, text='',
             fontproperties=props.copy(),
             verticalalignment='baseline',
             horizontalalignment='left', )
         self._right_title = mtext.Text(
-            x=1.0, y=1.0, text='',
+            x=1.0, y=y, text='',
             fontproperties=props.copy(),
             verticalalignment='baseline',
             horizontalalignment='right',
             )
+        title_offset_points = mpl.rcParams['axes.titlepad']
+        # refactor this out so it can be called in ax.set_title if
+        # pad argument used...
+        self._set_title_offset_trans(title_offset_points)
 
         for _title in (self.title, self._left_title, self._right_title):
-            _title.set_transform(self.transAxes + self.titleOffsetTrans)
-            _title.set_clip_box(None)
             self._set_artist_props(_title)
 
-        # the patch draws the background of the axes.  we want this to
-        # be below the other artists; the axesPatch name is
-        # deprecated.  We use the frame to draw the edges so we are
-        # setting the edgecolor to None
-        self.patch = self.axesPatch = self._gen_axes_patch()
-        self.patch.set_figure(self.figure)
-        self.patch.set_facecolor(self._axisbg)
-        self.patch.set_edgecolor('None')
+        # The patch draws the background of the Axes.  We want this to be below
+        # the other artists.  We use the frame to draw the edges so we are
+        # setting the edgecolor to None.
+        self.patch = self._gen_axes_patch()
+        self.patch.set_figure(self.get_figure(root=False))
+        self.patch.set_facecolor(self._facecolor)
+        self.patch.set_edgecolor('none')
         self.patch.set_linewidth(0)
         self.patch.set_transform(self.transAxes)
 
-        self.axison = True
+        self.set_axis_on()
 
         self.xaxis.set_clip_path(self.patch)
         self.yaxis.set_clip_path(self.patch)
 
-        self._shared_x_axes.clean()
-        self._shared_y_axes.clean()
-
-    def clear(self):
-        """clear the axes"""
-        self.cla()
-
-    def set_color_cycle(self, clist):
+        if self._sharex is not None:
+            self.xaxis.set_visible(xaxis_visible)
+            self.patch.set_visible(patch_visible)
+        if self._sharey is not None:
+            self.yaxis.set_visible(yaxis_visible)
+            self.patch.set_visible(patch_visible)
+
+        # This comes last, as the call to _set_lim may trigger an autoscale (in
+        # case of shared axes), requiring children to be already set up.
+        for name, axis in self._axis_map.items():
+            share = getattr(self, f"_share{name}")
+            if share is not None:
+                getattr(self, f"share{name}")(share)
+            else:
+                # Although the scale was set to linear as part of clear,
+                # polar requires that _set_scale is called again
+                if self.name == "polar":
+                    axis._set_scale("linear")
+                axis._set_lim(0, 1, auto=True)
+        self._update_transScale()
+
+        self.stale = True
+
+    def clear(self):
+        """Clear the Axes."""
+        # Act as an alias, or as the superclass implementation depending on the
+        # subclass implementation.
+        if self._subclass_uses_cla:
+            self.cla()
+        else:
+            self.__clear()
+
+    def cla(self):
+        """Clear the Axes."""
+        # Act as an alias, or as the superclass implementation depending on the
+        # subclass implementation.
+        if self._subclass_uses_cla:
+            self.__clear()
+        else:
+            self.clear()
+
+    class ArtistList(Sequence):
+        """
+        A sublist of Axes children based on their type.
+
+        The type-specific children sublists were made immutable in Matplotlib
+        3.7.  In the future these artist lists may be replaced by tuples. Use
+        as if this is a tuple already.
+        """
+        def __init__(self, axes, prop_name,
+                     valid_types=None, invalid_types=None):
+            """
+            Parameters
+            ----------
+            axes : `~matplotlib.axes.Axes`
+                The Axes from which this sublist will pull the children
+                Artists.
+            prop_name : str
+                The property name used to access this sublist from the Axes;
+                used to generate deprecation warnings.
+            valid_types : list of type, optional
+                A list of types that determine which children will be returned
+                by this sublist. If specified, then the Artists in the sublist
+                must be instances of any of these types. If unspecified, then
+                any type of Artist is valid (unless limited by
+                *invalid_types*.)
+            invalid_types : tuple, optional
+                A list of types that determine which children will *not* be
+                returned by this sublist. If specified, then Artists in the
+                sublist will never be an instance of these types. Otherwise, no
+                types will be excluded.
+            """
+            self._axes = axes
+            self._prop_name = prop_name
+            self._type_check = lambda artist: (
+                (not valid_types or isinstance(artist, valid_types)) and
+                (not invalid_types or not isinstance(artist, invalid_types))
+            )
+
+        def __repr__(self):
+            return f'<Axes.ArtistList of {len(self)} {self._prop_name}>'
+
+        def __len__(self):
+            return sum(self._type_check(artist)
+                       for artist in self._axes._children)
+
+        def __iter__(self):
+            for artist in list(self._axes._children):
+                if self._type_check(artist):
+                    yield artist
+
+        def __getitem__(self, key):
+            return [artist
+                    for artist in self._axes._children
+                    if self._type_check(artist)][key]
+
+        def __add__(self, other):
+            if isinstance(other, (list, _AxesBase.ArtistList)):
+                return [*self, *other]
+            if isinstance(other, (tuple, _AxesBase.ArtistList)):
+                return (*self, *other)
+            return NotImplemented
+
+        def __radd__(self, other):
+            if isinstance(other, list):
+                return other + list(self)
+            if isinstance(other, tuple):
+                return other + tuple(self)
+            return NotImplemented
+
+    @property
+    def artists(self):
+        return self.ArtistList(self, 'artists', invalid_types=(
+            mcoll.Collection, mimage.AxesImage, mlines.Line2D, mpatches.Patch,
+            mtable.Table, mtext.Text))
+
+    @property
+    def collections(self):
+        return self.ArtistList(self, 'collections',
+                               valid_types=mcoll.Collection)
+
+    @property
+    def images(self):
+        return self.ArtistList(self, 'images', valid_types=mimage.AxesImage)
+
+    @property
+    def lines(self):
+        return self.ArtistList(self, 'lines', valid_types=mlines.Line2D)
+
+    @property
+    def patches(self):
+        return self.ArtistList(self, 'patches', valid_types=mpatches.Patch)
+
+    @property
+    def tables(self):
+        return self.ArtistList(self, 'tables', valid_types=mtable.Table)
+
+    @property
+    def texts(self):
+        return self.ArtistList(self, 'texts', valid_types=mtext.Text)
+
+    def get_facecolor(self):
+        """Get the facecolor of the Axes."""
+        return self.patch.get_facecolor()
+
+    def set_facecolor(self, color):
         """
-        Set the color cycle for any future plot commands on this Axes.
+        Set the facecolor of the Axes.
 
-        *clist* is a list of mpl color specifiers.
+        Parameters
+        ----------
+        color : :mpltype:`color`
         """
-        self._get_lines.set_color_cycle(clist)
-        self._get_patches_for_fill.set_color_cycle(clist)
+        self._facecolor = color
+        self.stale = True
+        return self.patch.set_facecolor(color)
 
-    def ishold(self):
-        """return the HOLD status of the axes"""
-        return self._hold
+    def _set_title_offset_trans(self, title_offset_points):
+        """
+        Set the offset for the title either from :rc:`axes.titlepad`
+        or from set_title kwarg ``pad``.
+        """
+        self.titleOffsetTrans = mtransforms.ScaledTranslation(
+                0.0, title_offset_points / 72,
+                self.get_figure(root=False).dpi_scale_trans)
+        for _title in (self.title, self._left_title, self._right_title):
+            _title.set_transform(self.transAxes + self.titleOffsetTrans)
+            _title.set_clip_box(None)
 
-    def hold(self, b=None):
+    def set_prop_cycle(self, *args, **kwargs):
         """
-        Call signature::
+        Set the property cycle of the Axes.
+
+        The property cycle controls the style properties such as color,
+        marker and linestyle of future plot commands. The style properties
+        of data already added to the Axes are not modified.
+
+        Call signatures::
+
+          set_prop_cycle(cycler)
+          set_prop_cycle(label=values, label2=values2, ...)
+          set_prop_cycle(label, values)
+
+        Form 1 sets given `~cycler.Cycler` object.
+
+        Form 2 creates a `~cycler.Cycler` which cycles over one or more
+        properties simultaneously and set it as the property cycle of the
+        Axes. If multiple properties are given, their value lists must have
+        the same length. This is just a shortcut for explicitly creating a
+        cycler and passing it to the function, i.e. it's short for
+        ``set_prop_cycle(cycler(label=values, label2=values2, ...))``.
 
-          hold(b=None)
+        Form 3 creates a `~cycler.Cycler` for a single property and set it
+        as the property cycle of the Axes. This form exists for compatibility
+        with the original `cycler.cycler` interface. Its use is discouraged
+        in favor of the kwarg form, i.e. ``set_prop_cycle(label=values)``.
 
-        Set the hold state.  If *hold* is *None* (default), toggle the
-        *hold* state.  Else set the *hold* state to boolean value *b*.
+        Parameters
+        ----------
+        cycler : `~cycler.Cycler` or ``None``
+            Set the given Cycler. *None* resets to the cycle defined by the
+            current style.
+
+            .. ACCEPTS: `~cycler.Cycler`
+
+        label : str
+            The property key. Must be a valid `.Artist` property.
+            For example, 'color' or 'linestyle'. Aliases are allowed,
+            such as 'c' for 'color' and 'lw' for 'linewidth'.
 
-        Examples::
+        values : iterable
+            Finite-length iterable of the property values. These values
+            are validated and will raise a ValueError if invalid.
 
-          # toggle hold
-          hold()
+        See Also
+        --------
+        matplotlib.rcsetup.cycler
+            Convenience function for creating validated cyclers for properties.
+        cycler.cycler
+            The original function for creating unvalidated cyclers.
 
-          # turn hold on
-          hold(True)
+        Examples
+        --------
+        Setting the property cycle for a single property:
 
-          # turn hold off
-          hold(False)
+        >>> ax.set_prop_cycle(color=['red', 'green', 'blue'])
 
-        When hold is *True*, subsequent plot commands will be added to
-        the current axes.  When hold is *False*, the current axes and
-        figure will be cleared on the next plot command
+        Setting the property cycle for simultaneously cycling over multiple
+        properties (e.g. red circle, green plus, blue cross):
+
+        >>> ax.set_prop_cycle(color=['red', 'green', 'blue'],
+        ...                   marker=['o', '+', 'x'])
 
         """
-        if b is None:
-            self._hold = not self._hold
+        if args and kwargs:
+            raise TypeError("Cannot supply both positional and keyword "
+                            "arguments to this method.")
+        # Can't do `args == (None,)` as that crashes cycler.
+        if len(args) == 1 and args[0] is None:
+            prop_cycle = None
         else:
-            self._hold = b
+            prop_cycle = cycler(*args, **kwargs)
+        self._get_lines.set_prop_cycle(prop_cycle)
+        self._get_patches_for_fill.set_prop_cycle(prop_cycle)
 
     def get_aspect(self):
+        """
+        Return the aspect ratio of the Axes scaling.
+
+        This is either "auto" or a float giving the ratio of y/x-scale.
+        """
         return self._aspect
 
-    def set_aspect(self, aspect, adjustable=None, anchor=None):
-        """
-        *aspect*
-
-          ========   ================================================
-          value      description
-          ========   ================================================
-          'auto'     automatic; fill position rectangle with data
-          'normal'   same as 'auto'; deprecated
-          'equal'    same scaling from data to plot units for x and y
-           num       a circle will be stretched such that the height
-                     is num times the width. aspect=1 is the same as
-                     aspect='equal'.
-          ========   ================================================
-
-        *adjustable*
-
-          ============   =====================================
-          value          description
-          ============   =====================================
-          'box'          change physical size of axes
-          'datalim'      change xlim or ylim
-          'box-forced'   same as 'box', but axes can be shared
-          ============   =====================================
-
-        'box' does not allow axes sharing, as this can cause
-        unintended side effect. For cases when sharing axes is
-        fine, use 'box-forced'.
-
-        *anchor*
-
-          =====   =====================
-          value   description
-          =====   =====================
-          'C'     centered
-          'SW'    lower left corner
-          'S'     middle of bottom edge
-          'SE'    lower right corner
-          etc.
-          =====   =====================
-
-        .. deprecated:: 1.2
-            the option 'normal' for aspect is deprecated. Use 'auto' instead.
-        """
-        if aspect == 'normal':
-            cbook.warn_deprecated(
-                '1.2', name='normal', alternative='auto', obj_type='aspect')
-            self._aspect = 'auto'
-
-        elif aspect in ('equal', 'auto'):
-            self._aspect = aspect
+    def set_aspect(self, aspect, adjustable=None, anchor=None, share=False):
+        """
+        Set the aspect ratio of the Axes scaling, i.e. y/x-scale.
+
+        Parameters
+        ----------
+        aspect : {'auto', 'equal'} or float
+            Possible values:
+
+            - 'auto': fill the position rectangle with data.
+            - 'equal': same as ``aspect=1``, i.e. same scaling for x and y.
+            - *float*: The displayed size of 1 unit in y-data coordinates will
+              be *aspect* times the displayed size of 1 unit in x-data
+              coordinates; e.g. for ``aspect=2`` a square in data coordinates
+              will be rendered with a height of twice its width.
+
+        adjustable : None or {'box', 'datalim'}, optional
+            If not ``None``, this defines which parameter will be adjusted to
+            meet the required aspect. See `.set_adjustable` for further
+            details.
+
+        anchor : None or str or (float, float), optional
+            If not ``None``, this defines where the Axes will be drawn if there
+            is extra space due to aspect constraints. The most common way
+            to specify the anchor are abbreviations of cardinal directions:
+
+            =====   =====================
+            value   description
+            =====   =====================
+            'C'     centered
+            'SW'    lower left corner
+            'S'     middle of bottom edge
+            'SE'    lower right corner
+            etc.
+            =====   =====================
+
+            See `~.Axes.set_anchor` for further details.
+
+        share : bool, default: False
+            If ``True``, apply the settings to all shared Axes.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_adjustable
+            Set how the Axes adjusts to achieve the required aspect ratio.
+        matplotlib.axes.Axes.set_anchor
+            Set the position in case of extra space.
+        """
+        if cbook._str_equal(aspect, 'equal'):
+            aspect = 1
+        if not cbook._str_equal(aspect, 'auto'):
+            aspect = float(aspect)  # raise ValueError if necessary
+            if aspect <= 0 or not np.isfinite(aspect):
+                raise ValueError("aspect must be finite and positive ")
+
+        if share:
+            axes = {sibling for name in self._axis_names
+                    for sibling in self._shared_axes[name].get_siblings(self)}
         else:
-            self._aspect = float(aspect)  # raise ValueError if necessary
+            axes = [self]
+
+        for ax in axes:
+            ax._aspect = aspect
+
+        if adjustable is None:
+            adjustable = self._adjustable
+        self.set_adjustable(adjustable, share=share)  # Handle sharing.
 
-        if adjustable is not None:
-            self.set_adjustable(adjustable)
         if anchor is not None:
-            self.set_anchor(anchor)
+            self.set_anchor(anchor, share=share)
+        self.stale = True
 
     def get_adjustable(self):
-        return self._adjustable
+        """
+        Return whether the Axes will adjust its physical dimension ('box') or
+        its data limits ('datalim') to achieve the desired aspect ratio.
 
-    def set_adjustable(self, adjustable):
+        See Also
+        --------
+        matplotlib.axes.Axes.set_adjustable
+            Set how the Axes adjusts to achieve the required aspect ratio.
+        matplotlib.axes.Axes.set_aspect
+            For a description of aspect handling.
         """
-        ACCEPTS: [ 'box' | 'datalim' | 'box-forced']
+        return self._adjustable
+
+    def set_adjustable(self, adjustable, share=False):
         """
-        if adjustable in ('box', 'datalim', 'box-forced'):
-            if self in self._shared_x_axes or self in self._shared_y_axes:
-                if adjustable == 'box':
-                    raise ValueError(
-                        'adjustable must be "datalim" for shared axes')
-            self._adjustable = adjustable
-        else:
-            raise ValueError('argument must be "box", or "datalim"')
+        Set how the Axes adjusts to achieve the required aspect ratio.
 
-    def get_anchor(self):
-        return self._anchor
+        Parameters
+        ----------
+        adjustable : {'box', 'datalim'}
+            If 'box', change the physical dimensions of the Axes.
+            If 'datalim', change the ``x`` or ``y`` data limits. This
+            may ignore explicitly defined axis limits.
+
+        share : bool, default: False
+            If ``True``, apply the settings to all shared Axes.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_aspect
+            For a description of aspect handling.
+
+        Notes
+        -----
+        Shared Axes (of which twinned Axes are a special case)
+        impose restrictions on how aspect ratios can be imposed.
+        For twinned Axes, use 'datalim'.  For Axes that share both
+        x and y, use 'box'.  Otherwise, either 'datalim' or 'box'
+        may be used.  These limitations are partly a requirement
+        to avoid over-specification, and partly a result of the
+        particular implementation we are currently using, in
+        which the adjustments for aspect ratios are done sequentially
+        and independently on each Axes as it is drawn.
+        """
+        _api.check_in_list(["box", "datalim"], adjustable=adjustable)
+        if share:
+            axs = {sibling for name in self._axis_names
+                   for sibling in self._shared_axes[name].get_siblings(self)}
+        else:
+            axs = [self]
+        if (adjustable == "datalim"
+                and any(getattr(ax.get_data_ratio, "__func__", None)
+                        != _AxesBase.get_data_ratio
+                        for ax in axs)):
+            # Limits adjustment by apply_aspect assumes that the axes' aspect
+            # ratio can be computed from the data limits and scales.
+            raise ValueError("Cannot set Axes adjustable to 'datalim' for "
+                             "Axes which override 'get_data_ratio'")
+        for ax in axs:
+            ax._adjustable = adjustable
+        self.stale = True
 
-    def set_anchor(self, anchor):
+    def get_box_aspect(self):
         """
-        *anchor*
+        Return the Axes box aspect, i.e. the ratio of height to width.
 
-          =====  ============
-          value  description
-          =====  ============
-          'C'    Center
-          'SW'   bottom left
-          'S'    bottom
-          'SE'   bottom right
-          'E'    right
-          'NE'   top right
-          'N'    top
-          'NW'   top left
-          'W'    left
-          =====  ============
+        The box aspect is ``None`` (i.e. chosen depending on the available
+        figure space) unless explicitly specified.
 
+        See Also
+        --------
+        matplotlib.axes.Axes.set_box_aspect
+            for a description of box aspect.
+        matplotlib.axes.Axes.set_aspect
+            for a description of aspect handling.
         """
-        if (anchor in list(six.iterkeys(mtransforms.Bbox.coefs)) or
-                len(anchor) == 2):
-            self._anchor = anchor
-        else:
-            raise ValueError('argument must be among %s' %
-                             ', '.join(six.iterkeys(mtransforms.Bbox.coefs)))
+        return self._box_aspect
 
-    def get_data_ratio(self):
+    def set_box_aspect(self, aspect=None):
         """
-        Returns the aspect ratio of the raw data.
+        Set the Axes box aspect, i.e. the ratio of height to width.
 
-        This method is intended to be overridden by new projection
-        types.
-        """
-        xmin, xmax = self.get_xbound()
-        ymin, ymax = self.get_ybound()
+        This defines the aspect of the Axes in figure space and is not to be
+        confused with the data aspect (see `~.Axes.set_aspect`).
 
-        xsize = max(math.fabs(xmax - xmin), 1e-30)
-        ysize = max(math.fabs(ymax - ymin), 1e-30)
+        Parameters
+        ----------
+        aspect : float or None
+            Changes the physical dimensions of the Axes, such that the ratio
+            of the Axes height to the Axes width in physical units is equal to
+            *aspect*. Defining a box aspect will change the *adjustable*
+            property to 'datalim' (see `~.Axes.set_adjustable`).
+
+            *None* will disable a fixed box aspect so that height and width
+            of the Axes are chosen independently.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_aspect
+            for a description of aspect handling.
+        """
+        axs = {*self._twinned_axes.get_siblings(self),
+               *self._twinned_axes.get_siblings(self)}
+
+        if aspect is not None:
+            aspect = float(aspect)
+            # when box_aspect is set to other than ´None`,
+            # adjustable must be "datalim"
+            for ax in axs:
+                ax.set_adjustable("datalim")
+
+        for ax in axs:
+            ax._box_aspect = aspect
+            ax.stale = True
 
-        return ysize / xsize
+    def get_anchor(self):
+        """
+        Get the anchor location.
 
-    def get_data_ratio_log(self):
+        See Also
+        --------
+        matplotlib.axes.Axes.set_anchor
+            for a description of the anchor.
+        matplotlib.axes.Axes.set_aspect
+            for a description of aspect handling.
         """
-        Returns the aspect ratio of the raw data in log scale.
-        Will be used when both axis scales are in log.
+        return self._anchor
+
+    def set_anchor(self, anchor, share=False):
         """
-        xmin, xmax = self.get_xbound()
-        ymin, ymax = self.get_ybound()
+        Define the anchor location.
+
+        The actual drawing area (active position) of the Axes may be smaller
+        than the Bbox (original position) when a fixed aspect is required. The
+        anchor defines where the drawing area will be located within the
+        available space.
+
+        Parameters
+        ----------
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}
+            Either an (*x*, *y*) pair of relative coordinates (0 is left or
+            bottom, 1 is right or top), 'C' (center), or a cardinal direction
+            ('SW', southwest, is bottom left, etc.).  str inputs are shorthands
+            for (*x*, *y*) coordinates, as shown in the following diagram::
+
+               ┌─────────────────┬─────────────────┬─────────────────�
+               │ 'NW' (0.0, 1.0) │ 'N' (0.5, 1.0)  │ 'NE' (1.0, 1.0) │
+               ├─────────────────┼─────────────────┼─────────────────┤
+               │ 'W'  (0.0, 0.5) │ 'C' (0.5, 0.5)  │ 'E'  (1.0, 0.5) │
+               ├─────────────────┼─────────────────┼─────────────────┤
+               │ 'SW' (0.0, 0.0) │ 'S' (0.5, 0.0)  │ 'SE' (1.0, 0.0) │
+               └─────────────────┴─────────────────┴─────────────────┘
+
+        share : bool, default: False
+            If ``True``, apply the settings to all shared Axes.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_aspect
+            for a description of aspect handling.
+        """
+        if not (anchor in mtransforms.Bbox.coefs or len(anchor) == 2):
+            raise ValueError('argument must be among %s' %
+                             ', '.join(mtransforms.Bbox.coefs))
+        if share:
+            axes = {sibling for name in self._axis_names
+                    for sibling in self._shared_axes[name].get_siblings(self)}
+        else:
+            axes = [self]
+        for ax in axes:
+            ax._anchor = anchor
+
+        self.stale = True
 
-        xsize = max(math.fabs(math.log10(xmax) - math.log10(xmin)), 1e-30)
-        ysize = max(math.fabs(math.log10(ymax) - math.log10(ymin)), 1e-30)
+    def get_data_ratio(self):
+        """
+        Return the aspect ratio of the scaled data.
 
+        Notes
+        -----
+        This method is intended to be overridden by new projection types.
+        """
+        txmin, txmax = self.xaxis.get_transform().transform(self.get_xbound())
+        tymin, tymax = self.yaxis.get_transform().transform(self.get_ybound())
+        xsize = max(abs(txmax - txmin), 1e-30)
+        ysize = max(abs(tymax - tymin), 1e-30)
         return ysize / xsize
 
     def apply_aspect(self, position=None):
         """
-        Use :meth:`_aspect` and :meth:`_adjustable` to modify the
-        axes box or the view limits.
+        Adjust the Axes for a specified data aspect ratio.
+
+        Depending on `.get_adjustable` this will modify either the
+        Axes box (position) or the view limits. In the former case,
+        `~matplotlib.axes.Axes.get_anchor` will affect the position.
+
+        Parameters
+        ----------
+        position : None or .Bbox
+
+            .. note::
+                This parameter exists for historic reasons and is considered
+                internal. End users should not use it.
+
+            If not ``None``, this defines the position of the
+            Axes within the figure as a Bbox. See `~.Axes.get_position`
+            for further details.
+
+        Notes
+        -----
+        This is called automatically when each Axes is drawn.  You may need
+        to call it yourself if you need to update the Axes position and/or
+        view limits before the Figure is drawn.
+
+        An alternative with a broader scope is `.Figure.draw_without_rendering`,
+        which updates all stale components of a figure, not only the positioning /
+        view limits of a single Axes.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_aspect
+            For a description of aspect ratio handling.
+        matplotlib.axes.Axes.set_adjustable
+            Set how the Axes adjusts to achieve the required aspect ratio.
+        matplotlib.axes.Axes.set_anchor
+            Set the position in case of extra space.
+        matplotlib.figure.Figure.draw_without_rendering
+            Update all stale components of a figure.
+
+        Examples
+        --------
+        A typical usage example would be the following. `~.Axes.imshow` sets the
+        aspect to 1, but adapting the Axes position and extent to reflect this is
+        deferred until rendering for performance reasons. If you want to know the
+        Axes size before, you need to call `.apply_aspect` to get the correct
+        values.
+
+        >>> fig, ax = plt.subplots()
+        >>> ax.imshow(np.zeros((3, 3)))
+        >>> ax.bbox.width, ax.bbox.height
+        (496.0, 369.59999999999997)
+        >>> ax.apply_aspect()
+        >>> ax.bbox.width, ax.bbox.height
+        (369.59999999999997, 369.59999999999997)
         """
         if position is None:
             position = self.get_position(original=True)
 
         aspect = self.get_aspect()
 
-        if self.name != 'polar':
-            xscale, yscale = self.get_xscale(), self.get_yscale()
-            if xscale == "linear" and yscale == "linear":
-                aspect_scale_mode = "linear"
-            elif xscale == "log" and yscale == "log":
-                aspect_scale_mode = "log"
-            elif ((xscale == "linear" and yscale == "log") or
-                  (xscale == "log" and yscale == "linear")):
-                if aspect != "auto":
-                    warnings.warn(
-                        'aspect is not supported for Axes with xscale=%s, '
-                        'yscale=%s' % (xscale, yscale))
-                    aspect = "auto"
-            else:  # some custom projections have their own scales.
-                pass
-        else:
-            aspect_scale_mode = "linear"
-
-        if aspect == 'auto':
-            self.set_position(position, which='active')
+        if aspect == 'auto' and self._box_aspect is None:
+            self._set_position(position, which='active')
             return
 
-        if aspect == 'equal':
-            A = 1
-        else:
-            A = aspect
-
-        #Ensure at drawing time that any Axes involved in axis-sharing
-        # does not have its position changed.
-        if self in self._shared_x_axes or self in self._shared_y_axes:
-            if self._adjustable == 'box':
-                self._adjustable = 'datalim'
-                warnings.warn(
-                    'shared axes: "adjustable" is being changed to "datalim"')
-
-        figW, figH = self.get_figure().get_size_inches()
-        fig_aspect = figH / figW
-        if self._adjustable in ['box', 'box-forced']:
-            if aspect_scale_mode == "log":
-                box_aspect = A * self.get_data_ratio_log()
-            else:
-                box_aspect = A * self.get_data_ratio()
+        trans = self.get_figure(root=False).transSubfigure
+        bb = mtransforms.Bbox.unit().transformed(trans)
+        # this is the physical aspect of the panel (or figure):
+        fig_aspect = bb.height / bb.width
+
+        if self._adjustable == 'box':
+            if self in self._twinned_axes:
+                raise RuntimeError("Adjustable 'box' is not allowed in a "
+                                   "twinned Axes; use 'datalim' instead")
+            box_aspect = aspect * self.get_data_ratio()
             pb = position.frozen()
             pb1 = pb.shrunk_to_aspect(box_aspect, pb, fig_aspect)
-            self.set_position(pb1.anchored(self.get_anchor(), pb), 'active')
+            self._set_position(pb1.anchored(self.get_anchor(), pb), 'active')
             return
 
-        # reset active to original in case it had been changed
-        # by prior use of 'box'
-        self.set_position(position, which='active')
-
-        xmin, xmax = self.get_xbound()
-        ymin, ymax = self.get_ybound()
+        # The following is only seen if self._adjustable == 'datalim'
+        if self._box_aspect is not None:
+            pb = position.frozen()
+            pb1 = pb.shrunk_to_aspect(self._box_aspect, pb, fig_aspect)
+            self._set_position(pb1.anchored(self.get_anchor(), pb), 'active')
+            if aspect == "auto":
+                return
 
-        if aspect_scale_mode == "log":
-            xmin, xmax = math.log10(xmin), math.log10(xmax)
-            ymin, ymax = math.log10(ymin), math.log10(ymax)
+        # reset active to original in case it had been changed by prior use
+        # of 'box'
+        if self._box_aspect is None:
+            self._set_position(position, which='active')
+        else:
+            position = pb1.anchored(self.get_anchor(), pb)
 
-        xsize = max(math.fabs(xmax - xmin), 1e-30)
-        ysize = max(math.fabs(ymax - ymin), 1e-30)
+        x_trf = self.xaxis.get_transform()
+        y_trf = self.yaxis.get_transform()
+        xmin, xmax = x_trf.transform(self.get_xbound())
+        ymin, ymax = y_trf.transform(self.get_ybound())
+        xsize = max(abs(xmax - xmin), 1e-30)
+        ysize = max(abs(ymax - ymin), 1e-30)
 
-        l, b, w, h = position.bounds
-        box_aspect = fig_aspect * (h / w)
-        data_ratio = box_aspect / A
+        box_aspect = fig_aspect * (position.height / position.width)
+        data_ratio = box_aspect / aspect
 
-        y_expander = (data_ratio * xsize / ysize - 1.0)
-        #print 'y_expander', y_expander
+        y_expander = data_ratio * xsize / ysize - 1
         # If y_expander > 0, the dy/dx viewLim ratio needs to increase
         if abs(y_expander) < 0.005:
-            #print 'good enough already'
             return
 
-        if aspect_scale_mode == "log":
-            dL = self.dataLim
-            dL_width = math.log10(dL.x1) - math.log10(dL.x0)
-            dL_height = math.log10(dL.y1) - math.log10(dL.y0)
-            xr = 1.05 * dL_width
-            yr = 1.05 * dL_height
-        else:
-            dL = self.dataLim
-            xr = 1.05 * dL.width
-            yr = 1.05 * dL.height
+        dL = self.dataLim
+        x0, x1 = x_trf.transform(dL.intervalx)
+        y0, y1 = y_trf.transform(dL.intervaly)
+        xr = 1.05 * (x1 - x0)
+        yr = 1.05 * (y1 - y0)
 
         xmarg = xsize - xr
         ymarg = ysize - yr
@@ -1223,337 +2044,436 @@ def apply_aspect(self, position=None):
         Xsize = ysize / data_ratio
         Xmarg = Xsize - xr
         Ymarg = Ysize - yr
-        xm = 0  # Setting these targets to, e.g., 0.05*xr does not seem to
-                # help.
+        # Setting these targets to, e.g., 0.05*xr does not seem to help.
+        xm = 0
         ym = 0
-        #print 'xmin, xmax, ymin, ymax', xmin, xmax, ymin, ymax
-        #print 'xsize, Xsize, ysize, Ysize', xsize, Xsize, ysize, Ysize
-
-        changex = (self in self._shared_y_axes
-                   and self not in self._shared_x_axes)
-        changey = (self in self._shared_x_axes
-                   and self not in self._shared_y_axes)
-        if changex and changey:
-            warnings.warn("adjustable='datalim' cannot work with shared "
-                          "x and y axes")
-            return
-        if changex:
+
+        shared_x = self in self._shared_axes["x"]
+        shared_y = self in self._shared_axes["y"]
+
+        if shared_x and shared_y:
+            raise RuntimeError("set_aspect(..., adjustable='datalim') or "
+                               "axis('equal') are not allowed when both axes "
+                               "are shared.  Try set_aspect(..., "
+                               "adjustable='box').")
+
+        # If y is shared, then we are only allowed to change x, etc.
+        if shared_y:
             adjust_y = False
         else:
-            #print 'xmarg, ymarg, Xmarg, Ymarg', xmarg, ymarg, Xmarg, Ymarg
             if xmarg > xm and ymarg > ym:
-                adjy = ((Ymarg > 0 and y_expander < 0)
-                        or (Xmarg < 0 and y_expander > 0))
+                adjy = ((Ymarg > 0 and y_expander < 0) or
+                        (Xmarg < 0 and y_expander > 0))
             else:
                 adjy = y_expander > 0
-            #print 'y_expander, adjy', y_expander, adjy
-            adjust_y = changey or adjy  # (Ymarg > xmarg)
+            adjust_y = shared_x or adjy  # (Ymarg > xmarg)
+
         if adjust_y:
             yc = 0.5 * (ymin + ymax)
             y0 = yc - Ysize / 2.0
             y1 = yc + Ysize / 2.0
-            if aspect_scale_mode == "log":
-                self.set_ybound((10. ** y0, 10. ** y1))
-            else:
-                self.set_ybound((y0, y1))
-            #print 'New y0, y1:', y0, y1
-            #print 'New ysize, ysize/xsize', y1-y0, (y1-y0)/xsize
+            if not self.get_autoscaley_on():
+                _log.warning("Ignoring fixed y limits to fulfill fixed data aspect "
+                             "with adjustable data limits.")
+            self.set_ybound(y_trf.inverted().transform([y0, y1]))
         else:
             xc = 0.5 * (xmin + xmax)
             x0 = xc - Xsize / 2.0
             x1 = xc + Xsize / 2.0
-            if aspect_scale_mode == "log":
-                self.set_xbound((10. ** x0, 10. ** x1))
-            else:
-                self.set_xbound((x0, x1))
-            #print 'New x0, x1:', x0, x1
-            #print 'New xsize, ysize/xsize', x1-x0, ysize/(x1-x0)
+            if not self.get_autoscalex_on():
+                _log.warning("Ignoring fixed x limits to fulfill fixed data aspect "
+                             "with adjustable data limits.")
+            self.set_xbound(x_trf.inverted().transform([x0, x1]))
 
-    def axis(self, *v, **kwargs):
+    def axis(self, arg=None, /, *, emit=True, **kwargs):
         """
-        Convenience method for manipulating the x and y view limits
-        and the aspect ratio of the plot. For details, see
-        :func:`~matplotlib.pyplot.axis`.
+        Convenience method to get or set some axis properties.
 
-        *kwargs* are passed on to :meth:`set_xlim` and
-        :meth:`set_ylim`
-        """
-        if len(v) == 0 and len(kwargs) == 0:
-            xmin, xmax = self.get_xlim()
-            ymin, ymax = self.get_ylim()
-            return xmin, xmax, ymin, ymax
+        Call signatures::
+
+          xmin, xmax, ymin, ymax = axis()
+          xmin, xmax, ymin, ymax = axis([xmin, xmax, ymin, ymax])
+          xmin, xmax, ymin, ymax = axis(option)
+          xmin, xmax, ymin, ymax = axis(**kwargs)
 
-        if len(v) == 1 and is_string_like(v[0]):
-            s = v[0].lower()
-            if s == 'on':
+        Parameters
+        ----------
+        xmin, xmax, ymin, ymax : float, optional
+            The axis limits to be set.  This can also be achieved using ::
+
+                ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))
+
+        option : bool or str
+            If a bool, turns axis lines and labels on or off. If a string,
+            possible values are:
+
+            ================ ===========================================================
+            Value            Description
+            ================ ===========================================================
+            'off' or `False` Hide all axis decorations, i.e. axis labels, spines,
+                             tick marks, tick labels, and grid lines.
+                             This is the same as `~.Axes.set_axis_off()`.
+            'on' or `True`   Do not hide all axis decorations, i.e. axis labels, spines,
+                             tick marks, tick labels, and grid lines.
+                             This is the same as `~.Axes.set_axis_on()`.
+            'equal'          Set equal scaling (i.e., make circles circular) by
+                             changing the axis limits. This is the same as
+                             ``ax.set_aspect('equal', adjustable='datalim')``.
+                             Explicit data limits may not be respected in this case.
+            'scaled'         Set equal scaling (i.e., make circles circular) by
+                             changing dimensions of the plot box. This is the same as
+                             ``ax.set_aspect('equal', adjustable='box', anchor='C')``.
+                             Additionally, further autoscaling will be disabled.
+            'tight'          Set limits just large enough to show all data, then
+                             disable further autoscaling.
+            'auto'           Automatic scaling (fill plot box with data).
+            'image'          'scaled' with axis limits equal to data limits.
+            'square'         Square plot; similar to 'scaled', but initially forcing
+                             ``xmax-xmin == ymax-ymin``.
+            ================ ===========================================================
+
+        emit : bool, default: True
+            Whether observers are notified of the axis limit change.
+            This option is passed on to `~.Axes.set_xlim` and
+            `~.Axes.set_ylim`.
+
+        Returns
+        -------
+        xmin, xmax, ymin, ymax : float
+            The axis limits.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_xlim
+        matplotlib.axes.Axes.set_ylim
+
+        Notes
+        -----
+        For 3D Axes, this method additionally takes *zmin*, *zmax* as
+        parameters and likewise returns them.
+        """
+        if isinstance(arg, (str, bool)):
+            if arg is True:
+                arg = 'on'
+            if arg is False:
+                arg = 'off'
+            arg = arg.lower()
+            if arg == 'on':
                 self.set_axis_on()
-            elif s == 'off':
+            elif arg == 'off':
                 self.set_axis_off()
-            elif s in ('equal', 'tight', 'scaled', 'normal', 'auto', 'image'):
+            elif arg in [
+                    'equal', 'tight', 'scaled', 'auto', 'image', 'square']:
                 self.set_autoscale_on(True)
                 self.set_aspect('auto')
                 self.autoscale_view(tight=False)
-                # self.apply_aspect()
-                if s == 'equal':
+                if arg == 'equal':
                     self.set_aspect('equal', adjustable='datalim')
-                elif s == 'scaled':
+                elif arg == 'scaled':
                     self.set_aspect('equal', adjustable='box', anchor='C')
                     self.set_autoscale_on(False)  # Req. by Mark Bakker
-                elif s == 'tight':
+                elif arg == 'tight':
                     self.autoscale_view(tight=True)
                     self.set_autoscale_on(False)
-                elif s == 'image':
+                elif arg == 'image':
                     self.autoscale_view(tight=True)
                     self.set_autoscale_on(False)
                     self.set_aspect('equal', adjustable='box', anchor='C')
-
+                elif arg == 'square':
+                    self.set_aspect('equal', adjustable='box', anchor='C')
+                    self.set_autoscale_on(False)
+                    xlim = self.get_xlim()
+                    ylim = self.get_ylim()
+                    edge_size = max(np.diff(xlim), np.diff(ylim))[0]
+                    self.set_xlim([xlim[0], xlim[0] + edge_size],
+                                  emit=emit, auto=False)
+                    self.set_ylim([ylim[0], ylim[0] + edge_size],
+                                  emit=emit, auto=False)
             else:
-                raise ValueError('Unrecognized string %s to axis; '
-                                 'try on or off' % s)
-            xmin, xmax = self.get_xlim()
-            ymin, ymax = self.get_ylim()
-            return xmin, xmax, ymin, ymax
-
-        emit = kwargs.get('emit', True)
-        try:
-            v[0]
-        except IndexError:
-            xmin = kwargs.get('xmin', None)
-            xmax = kwargs.get('xmax', None)
-            auto = False  # turn off autoscaling, unless...
-            if xmin is None and xmax is None:
-                auto = None  # leave autoscaling state alone
-            xmin, xmax = self.set_xlim(xmin, xmax, emit=emit, auto=auto)
-
-            ymin = kwargs.get('ymin', None)
-            ymax = kwargs.get('ymax', None)
-            auto = False  # turn off autoscaling, unless...
-            if ymin is None and ymax is None:
-                auto = None  # leave autoscaling state alone
-            ymin, ymax = self.set_ylim(ymin, ymax, emit=emit, auto=auto)
-            return xmin, xmax, ymin, ymax
-
-        v = v[0]
-        if len(v) != 4:
-            raise ValueError('v must contain [xmin xmax ymin ymax]')
-
-        self.set_xlim([v[0], v[1]], emit=emit, auto=False)
-        self.set_ylim([v[2], v[3]], emit=emit, auto=False)
-
-        return v
+                raise ValueError(f"Unrecognized string {arg!r} to axis; "
+                                 "try 'on' or 'off'")
+        else:
+            if arg is not None:
+                if len(arg) != 2*len(self._axis_names):
+                    raise TypeError(
+                        "The first argument to axis() must be an iterable of the form "
+                        "[{}]".format(", ".join(
+                            f"{name}min, {name}max" for name in self._axis_names)))
+                limits = {
+                    name: arg[2*i:2*(i+1)]
+                    for i, name in enumerate(self._axis_names)
+                }
+            else:
+                limits = {}
+                for name in self._axis_names:
+                    ax_min = kwargs.pop(f'{name}min', None)
+                    ax_max = kwargs.pop(f'{name}max', None)
+                    limits[name] = (ax_min, ax_max)
+            for name, (ax_min, ax_max) in limits.items():
+                ax_auto = (None  # Keep autoscale state as is.
+                           if ax_min is None and ax_max is None
+                           else False)  # Turn off autoscale.
+                set_ax_lim = getattr(self, f'set_{name}lim')
+                set_ax_lim(ax_min, ax_max, emit=emit, auto=ax_auto)
+        if kwargs:
+            raise _api.kwarg_error("axis", kwargs)
+        lims = ()
+        for name in self._axis_names:
+            get_ax_lim = getattr(self, f'get_{name}lim')
+            lims += get_ax_lim()
+        return lims
 
     def get_legend(self):
-        """
-        Return the legend.Legend instance, or None if no legend is defined
-        """
+        """Return the `.Legend` instance, or None if no legend is defined."""
         return self.legend_
 
     def get_images(self):
-        """return a list of Axes images contained by the Axes"""
+        r"""Return a list of `.AxesImage`\s contained by the Axes."""
         return cbook.silent_list('AxesImage', self.images)
 
     def get_lines(self):
-        """Return a list of lines contained by the Axes"""
+        """Return a list of lines contained by the Axes."""
         return cbook.silent_list('Line2D', self.lines)
 
     def get_xaxis(self):
-        """Return the XAxis instance"""
-        return self.xaxis
+        """
+        [*Discouraged*] Return the XAxis instance.
 
-    def get_xgridlines(self):
-        """Get the x grid lines as a list of Line2D instances"""
-        return cbook.silent_list('Line2D xgridline',
-                                 self.xaxis.get_gridlines())
+        .. admonition:: Discouraged
 
-    def get_xticklines(self):
-        """Get the xtick lines as a list of Line2D instances"""
-        return cbook.silent_list('Text xtickline',
-                                 self.xaxis.get_ticklines())
+            The use of this function is discouraged. You should instead
+            directly access the attribute `~.Axes.xaxis`.
+        """
+        return self.xaxis
 
     def get_yaxis(self):
-        """Return the YAxis instance"""
-        return self.yaxis
+        """
+        [*Discouraged*] Return the YAxis instance.
 
-    def get_ygridlines(self):
-        """Get the y grid lines as a list of Line2D instances"""
-        return cbook.silent_list('Line2D ygridline',
-                                 self.yaxis.get_gridlines())
+        .. admonition:: Discouraged
 
-    def get_yticklines(self):
-        """Get the ytick lines as a list of Line2D instances"""
-        return cbook.silent_list('Line2D ytickline',
-                                 self.yaxis.get_ticklines())
+            The use of this function is discouraged. You should instead
+            directly access the attribute `~.Axes.yaxis`.
+        """
+        return self.yaxis
 
-    #### Adding and tracking artists
+    get_xgridlines = _axis_method_wrapper("xaxis", "get_gridlines")
+    get_xticklines = _axis_method_wrapper("xaxis", "get_ticklines")
+    get_ygridlines = _axis_method_wrapper("yaxis", "get_gridlines")
+    get_yticklines = _axis_method_wrapper("yaxis", "get_ticklines")
+
+    # Adding and tracking artists
 
     def _sci(self, im):
         """
-        helper for :func:`~matplotlib.pyplot.sci`;
-        do not use elsewhere.
+        Set the current image.
+
+        This image will be the target of colormap functions like
+        ``pyplot.viridis``, and other functions such as `~.pyplot.clim`.  The
+        current image is an attribute of the current Axes.
         """
-        if isinstance(im, matplotlib.contour.ContourSet):
-            if im.collections[0] not in self.collections:
-                raise ValueError(
-                    "ContourSet must be in current Axes")
-        elif im not in self.images and im not in self.collections:
-            raise ValueError(
-                "Argument must be an image, collection, or ContourSet in "
-                "this Axes")
+        _api.check_isinstance((mcoll.Collection, mimage.AxesImage), im=im)
+        if im not in self._children:
+            raise ValueError("Argument must be an image or collection in this Axes")
         self._current_image = im
 
     def _gci(self):
-        """
-        Helper for :func:`~matplotlib.pyplot.gci`;
-        do not use elsewhere.
-        """
+        """Helper for `~matplotlib.pyplot.gci`; do not use elsewhere."""
         return self._current_image
 
     def has_data(self):
         """
-        Return *True* if any artists have been added to axes.
+        Return whether any artists have been added to the Axes.
 
         This should not be used to determine whether the *dataLim*
         need to be updated, and may not actually be useful for
         anything.
         """
-        return (
-            len(self.collections) +
-            len(self.images) +
-            len(self.lines) +
-            len(self.patches)) > 0
+        return any(isinstance(a, (mcoll.Collection, mimage.AxesImage,
+                                  mlines.Line2D, mpatches.Patch))
+                   for a in self._children)
 
     def add_artist(self, a):
-        """Add any :class:`~matplotlib.artist.Artist` to the axes.
+        """
+        Add an `.Artist` to the Axes; return the artist.
 
         Use `add_artist` only for artists for which there is no dedicated
-        "add" method; and if necessary, use a method such as
-        `update_datalim` or `update_datalim_numerix` to manually update the
-        dataLim if the artist is to be included in autoscaling.
+        "add" method; and if necessary, use a method such as `update_datalim`
+        to manually update the `~.Axes.dataLim` if the artist is to be included
+        in autoscaling.
 
-        Returns the artist.
+        If no ``transform`` has been specified when creating the artist (e.g.
+        ``artist.get_transform() == None``) then the transform is set to
+        ``ax.transData``.
         """
-        a.set_axes(self)
-        self.artists.append(a)
+        a.axes = self
+        self._children.append(a)
+        a._remove_method = self._children.remove
         self._set_artist_props(a)
-        a.set_clip_path(self.patch)
-        a._remove_method = lambda h: self.artists.remove(h)
+        if a.get_clip_path() is None:
+            a.set_clip_path(self.patch)
+        self.stale = True
         return a
 
-    def add_collection(self, collection, autolim=True):
+    def add_child_axes(self, ax):
         """
-        Add a :class:`~matplotlib.collections.Collection` instance
-        to the axes.
+        Add an `.Axes` to the Axes' children; return the child Axes.
 
-        Returns the collection.
+        This is the lowlevel version.  See `.axes.Axes.inset_axes`.
         """
-        label = collection.get_label()
-        if not label:
-            collection.set_label('_collection%d' % len(self.collections))
-        self.collections.append(collection)
+
+        # normally Axes have themselves as the Axes, but these need to have
+        # their parent...
+        # Need to bypass the getter...
+        ax._axes = self
+        ax.stale_callback = martist._stale_axes_callback
+
+        self.child_axes.append(ax)
+        ax._remove_method = functools.partial(
+            self.get_figure(root=False)._remove_axes, owners=[self.child_axes])
+        self.stale = True
+        return ax
+
+    def add_collection(self, collection, autolim=True):
+        """
+        Add a `.Collection` to the Axes; return the collection.
+        """
+        _api.check_isinstance(mcoll.Collection, collection=collection)
+        if not collection.get_label():
+            collection.set_label(f'_child{len(self._children)}')
+        self._children.append(collection)
+        collection._remove_method = self._children.remove
         self._set_artist_props(collection)
 
         if collection.get_clip_path() is None:
             collection.set_clip_path(self.patch)
 
         if autolim:
-            self.update_datalim(collection.get_datalim(self.transData))
-
-        collection._remove_method = lambda h: self.collections.remove(h)
+            # Make sure viewLim is not stale (mostly to match
+            # pre-lazy-autoscale behavior, which is not really better).
+            self._unstale_viewLim()
+            datalim = collection.get_datalim(self.transData)
+            points = datalim.get_points()
+            if not np.isinf(datalim.minpos).all():
+                # By definition, if minpos (minimum positive value) is set
+                # (i.e., non-inf), then min(points) <= minpos <= max(points),
+                # and minpos would be superfluous. However, we add minpos to
+                # the call so that self.dataLim will update its own minpos.
+                # This ensures that log scales see the correct minimum.
+                points = np.concatenate([points, [datalim.minpos]])
+            self.update_datalim(points)
+
+        self.stale = True
         return collection
 
     def add_image(self, image):
         """
-        Add a :class:`~matplotlib.image.AxesImage` to the axes.
-
-        Returns the image.
+        Add an `.AxesImage` to the Axes; return the image.
         """
+        _api.check_isinstance(mimage.AxesImage, image=image)
         self._set_artist_props(image)
-        self.images.append(image)
-        image._remove_method = lambda h: self.images.remove(h)
+        if not image.get_label():
+            image.set_label(f'_child{len(self._children)}')
+        self._children.append(image)
+        image._remove_method = self._children.remove
+        self.stale = True
         return image
 
+    def _update_image_limits(self, image):
+        xmin, xmax, ymin, ymax = image.get_extent()
+        self.axes.update_datalim(((xmin, ymin), (xmax, ymax)))
+
     def add_line(self, line):
         """
-        Add a :class:`~matplotlib.lines.Line2D` to the list of plot
-        lines
-
-        Returns the line.
+        Add a `.Line2D` to the Axes; return the line.
         """
+        _api.check_isinstance(mlines.Line2D, line=line)
         self._set_artist_props(line)
         if line.get_clip_path() is None:
             line.set_clip_path(self.patch)
 
         self._update_line_limits(line)
         if not line.get_label():
-            line.set_label('_line%d' % len(self.lines))
-        self.lines.append(line)
-        line._remove_method = lambda h: self.lines.remove(h)
+            line.set_label(f'_child{len(self._children)}')
+        self._children.append(line)
+        line._remove_method = self._children.remove
+        self.stale = True
         return line
 
+    def _add_text(self, txt):
+        """
+        Add a `.Text` to the Axes; return the text.
+        """
+        _api.check_isinstance(mtext.Text, txt=txt)
+        self._set_artist_props(txt)
+        self._children.append(txt)
+        txt._remove_method = self._children.remove
+        self.stale = True
+        return txt
+
     def _update_line_limits(self, line):
         """
-        Figures out the data limit of the given line, updating self.dataLim.
+        Figures out the data limit of the given line, updating `.Axes.dataLim`.
         """
         path = line.get_path()
         if path.vertices.size == 0:
             return
 
-        line_trans = line.get_transform()
+        line_trf = line.get_transform()
 
-        if line_trans == self.transData:
+        if line_trf == self.transData:
             data_path = path
-
-        elif any(line_trans.contains_branch_seperately(self.transData)):
-            # identify the transform to go from line's coordinates
-            # to data coordinates
-            trans_to_data = line_trans - self.transData
-
-            # if transData is affine we can use the cached non-affine component
-            # of line's path. (since the non-affine part of line_trans is
-            # entirely encapsulated in trans_to_data).
+        elif any(line_trf.contains_branch_seperately(self.transData)):
+            # Compute the transform from line coordinates to data coordinates.
+            trf_to_data = line_trf - self.transData
+            # If transData is affine we can use the cached non-affine component
+            # of line's path (since the non-affine part of line_trf is
+            # entirely encapsulated in trf_to_data).
             if self.transData.is_affine:
                 line_trans_path = line._get_transformed_path()
                 na_path, _ = line_trans_path.get_transformed_path_and_affine()
-                data_path = trans_to_data.transform_path_affine(na_path)
+                data_path = trf_to_data.transform_path_affine(na_path)
             else:
-                data_path = trans_to_data.transform_path(path)
+                data_path = trf_to_data.transform_path(path)
         else:
-            # for backwards compatibility we update the dataLim with the
+            # For backwards compatibility we update the dataLim with the
             # coordinate range of the given path, even though the coordinate
             # systems are completely different. This may occur in situations
             # such as when ax.transAxes is passed through for absolute
             # positioning.
             data_path = path
 
-        if data_path.vertices.size > 0:
-            updatex, updatey = line_trans.contains_branch_seperately(
-                self.transData)
-            self.dataLim.update_from_path(data_path,
-                                          self.ignore_existing_data_limits,
-                                          updatex=updatex,
-                                          updatey=updatey)
-            self.ignore_existing_data_limits = False
+        if not data_path.vertices.size:
+            return
+
+        updatex, updatey = line_trf.contains_branch_seperately(self.transData)
+        if self.name != "rectilinear":
+            # This block is mostly intended to handle axvline in polar plots,
+            # for which updatey would otherwise be True.
+            if updatex and line_trf == self.get_yaxis_transform():
+                updatex = False
+            if updatey and line_trf == self.get_xaxis_transform():
+                updatey = False
+        self.dataLim.update_from_path(data_path,
+                                      self.ignore_existing_data_limits,
+                                      updatex=updatex, updatey=updatey)
+        self.ignore_existing_data_limits = False
 
     def add_patch(self, p):
         """
-        Add a :class:`~matplotlib.patches.Patch` *p* to the list of
-        axes patches; the clipbox will be set to the Axes clipping
-        box.  If the transform is not set, it will be set to
-        :attr:`transData`.
-
-        Returns the patch.
+        Add a `.Patch` to the Axes; return the patch.
         """
-
+        _api.check_isinstance(mpatches.Patch, p=p)
         self._set_artist_props(p)
         if p.get_clip_path() is None:
             p.set_clip_path(self.patch)
         self._update_patch_limits(p)
-        self.patches.append(p)
-        p._remove_method = lambda h: self.patches.remove(h)
+        self._children.append(p)
+        p._remove_method = self._children.remove
         return p
 
     def _update_patch_limits(self, patch):
-        """update the data limits for patch *p*"""
+        """Update the data limits for the given patch."""
         # hist can add zero height Rectangles, which is useful to keep
         # the bins, counts and patches lined up, but it throws off log
         # scaling.  We'll ignore rects with zero height or width in
@@ -1565,54 +2485,79 @@ def _update_patch_limits(self, patch):
         if (isinstance(patch, mpatches.Rectangle) and
                 ((not patch.get_width()) and (not patch.get_height()))):
             return
-        vertices = patch.get_path().vertices
-        if vertices.size > 0:
-            xys = patch.get_patch_transform().transform(vertices)
-            if patch.get_data_transform() != self.transData:
-                patch_to_data = (patch.get_data_transform() -
-                                    self.transData)
-                xys = patch_to_data.transform(xys)
-
-            updatex, updatey = patch.get_transform().\
-                contains_branch_seperately(self.transData)
-            self.update_datalim(xys, updatex=updatex,
-                                updatey=updatey)
+        p = patch.get_path()
+        # Get all vertices on the path
+        # Loop through each segment to get extrema for Bezier curve sections
+        vertices = []
+        for curve, code in p.iter_bezier(simplify=False):
+            # Get distance along the curve of any extrema
+            _, dzeros = curve.axis_aligned_extrema()
+            # Calculate vertices of start, end and any extrema in between
+            vertices.append(curve([0, *dzeros, 1]))
+
+        if len(vertices):
+            vertices = np.vstack(vertices)
+
+        patch_trf = patch.get_transform()
+        updatex, updatey = patch_trf.contains_branch_seperately(self.transData)
+        if not (updatex or updatey):
+            return
+        if self.name != "rectilinear":
+            # As in _update_line_limits, but for axvspan.
+            if updatex and patch_trf == self.get_yaxis_transform():
+                updatex = False
+            if updatey and patch_trf == self.get_xaxis_transform():
+                updatey = False
+        trf_to_data = patch_trf - self.transData
+        xys = trf_to_data.transform(vertices)
+        self.update_datalim(xys, updatex=updatex, updatey=updatey)
 
     def add_table(self, tab):
         """
-        Add a :class:`~matplotlib.tables.Table` instance to the
-        list of axes tables
-
-        Returns the table.
+        Add a `.Table` to the Axes; return the table.
         """
+        _api.check_isinstance(mtable.Table, tab=tab)
         self._set_artist_props(tab)
-        self.tables.append(tab)
-        tab.set_clip_path(self.patch)
-        tab._remove_method = lambda h: self.tables.remove(h)
+        self._children.append(tab)
+        if tab.get_clip_path() is None:
+            tab.set_clip_path(self.patch)
+        tab._remove_method = self._children.remove
         return tab
 
     def add_container(self, container):
         """
-        Add a :class:`~matplotlib.container.Container` instance
-        to the axes.
-
-        Returns the collection.
+        Add a `.Container` to the Axes' containers; return the container.
         """
         label = container.get_label()
         if not label:
             container.set_label('_container%d' % len(self.containers))
         self.containers.append(container)
-        container.set_remove_method(lambda h: self.containers.remove(h))
+        container._remove_method = self.containers.remove
         return container
 
+    def _unit_change_handler(self, axis_name, event=None):
+        """
+        Process axis units changes: requests updates to data and view limits.
+        """
+        if event is None:  # Allow connecting `self._unit_change_handler(name)`
+            return functools.partial(
+                self._unit_change_handler, axis_name, event=object())
+        _api.check_in_list(self._axis_map, axis_name=axis_name)
+        for line in self.lines:
+            line.recache_always()
+        self.relim()
+        self._request_autoscale_view(axis_name)
+
     def relim(self, visible_only=False):
         """
-        Recompute the data limits based on current artists. If you want to
-        exclude invisible artists from the calculation, set
-        ``visible_only=True``
+        Recompute the data limits based on current artists.
 
-        At present, :class:`~matplotlib.collections.Collection`
-        instances are not supported.
+        At present, `.Collection` instances are not supported.
+
+        Parameters
+        ----------
+        visible_only : bool, default: False
+            Whether to exclude invisible artists.
         """
         # Collections are deliberately not supported (yet); see
         # the TODO note in artists.py.
@@ -1620,239 +2565,331 @@ def relim(self, visible_only=False):
         self.dataLim.set_points(mtransforms.Bbox.null().get_points())
         self.ignore_existing_data_limits = True
 
-        for line in self.lines:
-            if not visible_only or line.get_visible():
-                self._update_line_limits(line)
-
-        for p in self.patches:
-            if not visible_only or p.get_visible():
-                self._update_patch_limits(p)
+        for artist in self._children:
+            if not visible_only or artist.get_visible():
+                if isinstance(artist, mlines.Line2D):
+                    self._update_line_limits(artist)
+                elif isinstance(artist, mpatches.Patch):
+                    self._update_patch_limits(artist)
+                elif isinstance(artist, mimage.AxesImage):
+                    self._update_image_limits(artist)
 
     def update_datalim(self, xys, updatex=True, updatey=True):
         """
-        Update the data lim bbox with seq of xy tups or equiv. 2-D array
-        """
-        # if no data is set currently, the bbox will ignore its
-        # limits and set the bound to be the bounds of the xydata.
-        # Otherwise, it will compute the bounds of it's current data
-        # and the data in xydata
+        Extend the `~.Axes.dataLim` Bbox to include the given points.
 
-        if iterable(xys) and not len(xys):
-            return
-        if not ma.isMaskedArray(xys):
-            xys = np.asarray(xys)
-        self.dataLim.update_from_data_xy(xys, self.ignore_existing_data_limits,
-                                         updatex=updatex, updatey=updatey)
-        self.ignore_existing_data_limits = False
+        If no data is set currently, the Bbox will ignore its limits and set
+        the bound to be the bounds of the xydata (*xys*). Otherwise, it will
+        compute the bounds of the union of its current data and the data in
+        *xys*.
 
-    def update_datalim_numerix(self, x, y):
-        """
-        Update the data lim bbox with seq of xy tups
+        Parameters
+        ----------
+        xys : 2D array-like
+            The points to include in the data limits Bbox. This can be either
+            a list of (x, y) tuples or a (N, 2) array.
+
+        updatex, updatey : bool, default: True
+            Whether to update the x/y limits.
         """
-        # if no data is set currently, the bbox will ignore it's
-        # limits and set the bound to be the bounds of the xydata.
-        # Otherwise, it will compute the bounds of it's current data
-        # and the data in xydata
-        if iterable(x) and not len(x):
+        xys = np.asarray(xys)
+        if not np.any(np.isfinite(xys)):
             return
-        self.dataLim.update_from_data(x, y, self.ignore_existing_data_limits)
+        self.dataLim.update_from_data_xy(xys, self.ignore_existing_data_limits,
+                                         updatex=updatex, updatey=updatey)
         self.ignore_existing_data_limits = False
 
-    def update_datalim_bounds(self, bounds):
+    def _process_unit_info(self, datasets=None, kwargs=None, *, convert=True):
         """
-        Update the datalim to include the given
-        :class:`~matplotlib.transforms.Bbox` *bounds*
-        """
-        self.dataLim.set(mtransforms.Bbox.union([self.dataLim, bounds]))
-
-    def _process_unit_info(self, xdata=None, ydata=None, kwargs=None):
-        """Look for unit *kwargs* and update the axis instances as necessary"""
+        Set axis units based on *datasets* and *kwargs*, and optionally apply
+        unit conversions to *datasets*.
 
-        if self.xaxis is None or self.yaxis is None:
-            return
+        Parameters
+        ----------
+        datasets : list
+            List of (axis_name, dataset) pairs (where the axis name is defined
+            as in `._axis_map`).  Individual datasets can also be None
+            (which gets passed through).
+        kwargs : dict
+            Other parameters from which unit info (i.e., the *xunits*,
+            *yunits*, *zunits* (for 3D Axes), *runits* and *thetaunits* (for
+            polar) entries) is popped, if present.  Note that this dict is
+            mutated in-place!
+        convert : bool, default: True
+            Whether to return the original datasets or the converted ones.
 
-        #print 'processing', self.get_geometry()
-        if xdata is not None:
-            # we only need to update if there is nothing set yet.
-            if not self.xaxis.have_units():
-                self.xaxis.update_units(xdata)
-            #print '\tset from xdata', self.xaxis.units
-
-        if ydata is not None:
-            # we only need to update if there is nothing set yet.
-            if not self.yaxis.have_units():
-                self.yaxis.update_units(ydata)
-            #print '\tset from ydata', self.yaxis.units
-
-        # process kwargs 2nd since these will override default units
-        if kwargs is not None:
-            xunits = kwargs.pop('xunits', self.xaxis.units)
-            if self.name == 'polar':
-                xunits = kwargs.pop('thetaunits', xunits)
-            if xunits != self.xaxis.units:
-                #print '\tkw setting xunits', xunits
-                self.xaxis.set_units(xunits)
-                # If the units being set imply a different converter,
-                # we need to update.
-                if xdata is not None:
-                    self.xaxis.update_units(xdata)
-
-            yunits = kwargs.pop('yunits', self.yaxis.units)
-            if self.name == 'polar':
-                yunits = kwargs.pop('runits', yunits)
-            if yunits != self.yaxis.units:
-                #print '\tkw setting yunits', yunits
-                self.yaxis.set_units(yunits)
+        Returns
+        -------
+        list
+            Either the original datasets if *convert* is False, or the
+            converted ones if *convert* is True (the default).
+        """
+        # The API makes datasets a list of pairs rather than an axis_name to
+        # dataset mapping because it is sometimes necessary to process multiple
+        # datasets for a single axis, and concatenating them may be tricky
+        # (e.g. if some are scalars, etc.).
+        datasets = datasets or []
+        kwargs = kwargs or {}
+        axis_map = self._axis_map
+        for axis_name, data in datasets:
+            try:
+                axis = axis_map[axis_name]
+            except KeyError:
+                raise ValueError(f"Invalid axis name: {axis_name!r}") from None
+            # Update from data if axis is already set but no unit is set yet.
+            if axis is not None and data is not None and not axis.have_units():
+                axis.update_units(data)
+        for axis_name, axis in axis_map.items():
+            # Return if no axis is set.
+            if axis is None:
+                continue
+            # Check for units in the kwargs, and if present update axis.
+            units = kwargs.pop(f"{axis_name}units", axis.units)
+            if self.name == "polar":
+                # Special case: polar supports "thetaunits"/"runits".
+                polar_units = {"x": "thetaunits", "y": "runits"}
+                units = kwargs.pop(polar_units[axis_name], units)
+            if units != axis.units and units is not None:
+                axis.set_units(units)
                 # If the units being set imply a different converter,
-                # we need to update.
-                if ydata is not None:
-                    self.yaxis.update_units(ydata)
+                # we need to update again.
+                for dataset_axis_name, data in datasets:
+                    if dataset_axis_name == axis_name and data is not None:
+                        axis.update_units(data)
+        return [axis_map[axis_name].convert_units(data)
+                if convert and data is not None else data
+                for axis_name, data in datasets]
 
     def in_axes(self, mouseevent):
         """
-        Return *True* if the given *mouseevent* (in display coords)
-        is in the Axes
+        Return whether the given event (in display coords) is in the Axes.
         """
         return self.patch.contains(mouseevent)[0]
 
+    get_autoscalex_on = _axis_method_wrapper("xaxis", "_get_autoscale_on")
+    get_autoscaley_on = _axis_method_wrapper("yaxis", "_get_autoscale_on")
+    set_autoscalex_on = _axis_method_wrapper("xaxis", "_set_autoscale_on")
+    set_autoscaley_on = _axis_method_wrapper("yaxis", "_set_autoscale_on")
+
     def get_autoscale_on(self):
-        """
-        Get whether autoscaling is applied for both axes on plot commands
-        """
-        return self._autoscaleXon and self._autoscaleYon
+        """Return True if each axis is autoscaled, False otherwise."""
+        return all(axis._get_autoscale_on()
+                   for axis in self._axis_map.values())
 
-    def get_autoscalex_on(self):
-        """
-        Get whether autoscaling for the x-axis is applied on plot commands
+    def set_autoscale_on(self, b):
         """
-        return self._autoscaleXon
+        Set whether autoscaling is applied to each axis on the next draw or
+        call to `.Axes.autoscale_view`.
 
-    def get_autoscaley_on(self):
-        """
-        Get whether autoscaling for the y-axis is applied on plot commands
+        Parameters
+        ----------
+        b : bool
         """
-        return self._autoscaleYon
+        for axis in self._axis_map.values():
+            axis._set_autoscale_on(b)
 
-    def set_autoscale_on(self, b):
+    @property
+    def use_sticky_edges(self):
         """
-        Set whether autoscaling is applied on plot commands
+        When autoscaling, whether to obey all `.Artist.sticky_edges`.
 
-        accepts: [ *True* | *False* ]
+        Default is ``True``.
+
+        Setting this to ``False`` ensures that the specified margins
+        will be applied, even if the plot includes an image, for
+        example, which would otherwise force a view limit to coincide
+        with its data limit.
+
+        The changing this property does not change the plot until
+        `autoscale` or `autoscale_view` is called.
         """
-        self._autoscaleXon = b
-        self._autoscaleYon = b
+        return self._use_sticky_edges
 
-    def set_autoscalex_on(self, b):
+    @use_sticky_edges.setter
+    def use_sticky_edges(self, b):
+        self._use_sticky_edges = bool(b)
+        # No effect until next autoscaling, which will mark the Axes as stale.
+
+    def get_xmargin(self):
         """
-        Set whether autoscaling for the x-axis is applied on plot commands
+        Retrieve autoscaling margin of the x-axis.
+
+        .. versionadded:: 3.9
 
-        accepts: [ *True* | *False* ]
+        Returns
+        -------
+        xmargin : float
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_xmargin
         """
-        self._autoscaleXon = b
+        return self._xmargin
 
-    def set_autoscaley_on(self, b):
+    def get_ymargin(self):
         """
-        Set whether autoscaling for the y-axis is applied on plot commands
+        Retrieve autoscaling margin of the y-axis.
+
+        .. versionadded:: 3.9
 
-        accepts: [ *True* | *False* ]
+        Returns
+        -------
+        ymargin : float
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_ymargin
         """
-        self._autoscaleYon = b
+        return self._ymargin
 
     def set_xmargin(self, m):
         """
         Set padding of X data limits prior to autoscaling.
 
-        *m* times the data interval will be added to each
-        end of that interval before it is used in autoscaling.
+        *m* times the data interval will be added to each end of that interval
+        before it is used in autoscaling.  If *m* is negative, this will clip
+        the data range instead of expanding it.
+
+        For example, if your data is in the range [0, 2], a margin of 0.1 will
+        result in a range [-0.2, 2.2]; a margin of -0.1 will result in a range
+        of [0.2, 1.8].
 
-        accepts: float in range 0 to 1
+        Parameters
+        ----------
+        m : float greater than -0.5
         """
-        if m < 0 or m > 1:
-            raise ValueError("margin must be in range 0 to 1")
+        if m <= -0.5:
+            raise ValueError("margin must be greater than -0.5")
         self._xmargin = m
+        self._request_autoscale_view("x")
+        self.stale = True
 
     def set_ymargin(self, m):
         """
         Set padding of Y data limits prior to autoscaling.
 
-        *m* times the data interval will be added to each
-        end of that interval before it is used in autoscaling.
+        *m* times the data interval will be added to each end of that interval
+        before it is used in autoscaling.  If *m* is negative, this will clip
+        the data range instead of expanding it.
 
-        accepts: float in range 0 to 1
+        For example, if your data is in the range [0, 2], a margin of 0.1 will
+        result in a range [-0.2, 2.2]; a margin of -0.1 will result in a range
+        of [0.2, 1.8].
+
+        Parameters
+        ----------
+        m : float greater than -0.5
         """
-        if m < 0 or m > 1:
-            raise ValueError("margin must be in range 0 to 1")
+        if m <= -0.5:
+            raise ValueError("margin must be greater than -0.5")
         self._ymargin = m
+        self._request_autoscale_view("y")
+        self.stale = True
 
-    def margins(self, *args, **kw):
+    def margins(self, *margins, x=None, y=None, tight=True):
         """
-        Set or retrieve autoscaling margins.
+        Set or retrieve margins around the data for autoscaling axis limits.
 
-        signatures::
+        This allows to configure the padding around the data without having to
+        set explicit limits using `~.Axes.set_xlim` / `~.Axes.set_ylim`.
 
-            margins()
+        Autoscaling determines the axis limits by adding *margin* times the
+        data interval as padding around the data. See the following illustration:
 
-        returns xmargin, ymargin
+        .. plot:: _embedded_plots/axes_margins.py
 
-        ::
+        All input parameters must be floats greater than -0.5. Passing both
+        positional and keyword arguments is invalid and will raise a TypeError.
+        If no arguments (positional or otherwise) are provided, the current
+        margins will remain unchanged and simply be returned.
 
-            margins(margin)
+        The default margins are :rc:`axes.xmargin` and :rc:`axes.ymargin`.
 
-            margins(xmargin, ymargin)
+        Parameters
+        ----------
+        *margins : float, optional
+            If a single positional argument is provided, it specifies
+            both margins of the x-axis and y-axis limits. If two
+            positional arguments are provided, they will be interpreted
+            as *xmargin*, *ymargin*. If setting the margin on a single
+            axis is desired, use the keyword arguments described below.
+
+        x, y : float, optional
+            Specific margin values for the x-axis and y-axis,
+            respectively. These cannot be used with positional
+            arguments, but can be used individually to alter on e.g.,
+            only the y-axis.
+
+        tight : bool or None, default: True
+            The *tight* parameter is passed to `~.axes.Axes.autoscale_view`,
+            which is executed after a margin is changed; the default
+            here is *True*, on the assumption that when margins are
+            specified, no additional padding to match tick marks is
+            usually desired.  Setting *tight* to *None* preserves
+            the previous setting.
 
-            margins(x=xmargin, y=ymargin)
+        Returns
+        -------
+        xmargin, ymargin : float
+
+        Notes
+        -----
+        If a previously used Axes method such as :meth:`pcolor` has set
+        `~.Axes.use_sticky_edges` to `True`, only the limits not set by
+        the "sticky artists" will be modified. To force all
+        margins to be set, set `~.Axes.use_sticky_edges` to `False`
+        before calling :meth:`margins`.
+
+        See Also
+        --------
+        .Axes.set_xmargin, .Axes.set_ymargin
+        """
+
+        if margins and (x is not None or y is not None):
+            raise TypeError('Cannot pass both positional and keyword '
+                            'arguments for x and/or y.')
+        elif len(margins) == 1:
+            x = y = margins[0]
+        elif len(margins) == 2:
+            x, y = margins
+        elif margins:
+            raise TypeError('Must pass a single positional argument for all '
+                            'margins, or one for each margin (x, y).')
+
+        if x is None and y is None:
+            if tight is not True:
+                _api.warn_external(f'ignoring tight={tight!r} in get mode')
+            return self._xmargin, self._ymargin
 
-            margins(..., tight=False)
+        if tight is not None:
+            self._tight = tight
+        if x is not None:
+            self.set_xmargin(x)
+        if y is not None:
+            self.set_ymargin(y)
 
-        All three forms above set the xmargin and ymargin parameters.
-        All keyword parameters are optional.  A single argument
-        specifies both xmargin and ymargin.  The *tight* parameter
-        is passed to :meth:`autoscale_view`, which is executed after
-        a margin is changed; the default here is *True*, on the
-        assumption that when margins are specified, no additional
-        padding to match tick marks is usually desired.  Setting
-        *tight* to *None* will preserve the previous setting.
+    def set_rasterization_zorder(self, z):
+        """
+        Set the zorder threshold for rasterization for vector graphics output.
 
-        Specifying any margin changes only the autoscaling; for example,
-        if *xmargin* is not None, then *xmargin* times the X data
-        interval will be added to each end of that interval before
-        it is used in autoscaling.
+        All artists with a zorder below the given value will be rasterized if
+        they support rasterization.
 
-        """
-        if not args and not kw:
-            return self._xmargin, self._ymargin
+        This setting is ignored for pixel-based output.
 
-        tight = kw.pop('tight', True)
-        mx = kw.pop('x', None)
-        my = kw.pop('y', None)
-        if len(args) == 1:
-            mx = my = args[0]
-        elif len(args) == 2:
-            mx, my = args
-        elif len(args) > 2:
-            raise ValueError("more than two arguments were supplied")
-        if mx is not None:
-            self.set_xmargin(mx)
-        if my is not None:
-            self.set_ymargin(my)
-
-        scalex = (mx is not None)
-        scaley = (my is not None)
-
-        self.autoscale_view(tight=tight, scalex=scalex, scaley=scaley)
+        See also :doc:`/gallery/misc/rasterization_demo`.
 
-    def set_rasterization_zorder(self, z):
-        """
-        Set zorder value below which artists will be rasterized.  Set
-        to `None` to disable rasterizing of artists below a particular
-        zorder.
+        Parameters
+        ----------
+        z : float or None
+            The zorder below which artists are rasterized.
+            If ``None`` rasterization based on zorder is deactivated.
         """
         self._rasterization_zorder = z
+        self.stale = True
 
     def get_rasterization_zorder(self):
-        """
-        Get zorder value below which artists will be rasterized
-        """
+        """Return the zorder value below which artists will be rasterized."""
         return self._rasterization_zorder
 
     def autoscale(self, enable=True, axis='both', tight=None):
@@ -1862,518 +2899,631 @@ def autoscale(self, enable=True, axis='both', tight=None):
         Convenience method for simple axis view autoscaling.
         It turns autoscaling on or off, and then,
         if autoscaling for either axis is on, it performs
-        the autoscaling on the specified axis or axes.
+        the autoscaling on the specified axis or Axes.
 
-        *enable*: [True | False | None]
-            True (default) turns autoscaling on, False turns it off.
+        Parameters
+        ----------
+        enable : bool or None, default: True
+            True turns autoscaling on, False turns it off.
             None leaves the autoscaling state unchanged.
-
-        *axis*: ['x' | 'y' | 'both']
-            which axis to operate on; default is 'both'
-
-        *tight*: [True | False | None]
-            If True, set view limits to data limits;
-            if False, let the locator and margins expand the view limits;
-            if None, use tight scaling if the only artist is an image,
-            otherwise treat *tight* as False.
-            The *tight* setting is retained for future autoscaling
-            until it is explicitly changed.
-
-
-        Returns None.
+        axis : {'both', 'x', 'y'}, default: 'both'
+            The axis on which to operate.  (For 3D Axes, *axis* can also be set
+            to 'z', and 'both' refers to all three Axes.)
+        tight : bool or None, default: None
+            If True, first set the margins to zero.  Then, this argument is
+            forwarded to `~.axes.Axes.autoscale_view` (regardless of
+            its value); see the description of its behavior there.
         """
         if enable is None:
             scalex = True
             scaley = True
         else:
-            scalex = False
-            scaley = False
             if axis in ['x', 'both']:
-                self._autoscaleXon = bool(enable)
-                scalex = self._autoscaleXon
+                self.set_autoscalex_on(bool(enable))
+                scalex = self.get_autoscalex_on()
+            else:
+                scalex = False
             if axis in ['y', 'both']:
-                self._autoscaleYon = bool(enable)
-                scaley = self._autoscaleYon
-        self.autoscale_view(tight=tight, scalex=scalex, scaley=scaley)
+                self.set_autoscaley_on(bool(enable))
+                scaley = self.get_autoscaley_on()
+            else:
+                scaley = False
+        if tight and scalex:
+            self._xmargin = 0
+        if tight and scaley:
+            self._ymargin = 0
+        if scalex:
+            self._request_autoscale_view("x", tight=tight)
+        if scaley:
+            self._request_autoscale_view("y", tight=tight)
 
     def autoscale_view(self, tight=None, scalex=True, scaley=True):
         """
-        Autoscale the view limits using the data limits. You can
-        selectively autoscale only a single axis, e.g., the xaxis by
-        setting *scaley* to *False*.  The autoscaling preserves any
-        axis direction reversal that has already been done.
+        Autoscale the view limits using the data limits.
+
+        Parameters
+        ----------
+        tight : bool or None
+            If *True*, only expand the axis limits using the margins.  Note
+            that unlike for `autoscale`, ``tight=True`` does *not* set the
+            margins to zero.
+
+            If *False* and :rc:`axes.autolimit_mode` is 'round_numbers', then
+            after expansion by the margins, further expand the axis limits
+            using the axis major locator.
+
+            If None (the default), reuse the value set in the previous call to
+            `autoscale_view` (the initial value is False, but the default style
+            sets :rc:`axes.autolimit_mode` to 'data', in which case this
+            behaves like True).
+
+        scalex : bool, default: True
+            Whether to autoscale the x-axis.
+
+        scaley : bool, default: True
+            Whether to autoscale the y-axis.
+
+        Notes
+        -----
+        The autoscaling preserves any preexisting axis direction reversal.
 
         The data limits are not updated automatically when artist data are
         changed after the artist has been added to an Axes instance.  In that
         case, use :meth:`matplotlib.axes.Axes.relim` prior to calling
         autoscale_view.
-        """
-        if tight is None:
-            # if image data only just use the datalim
-            _tight = self._tight or (len(self.images) > 0 and
-                                     len(self.lines) == 0 and
-                                     len(self.patches) == 0)
-        else:
-            _tight = self._tight = bool(tight)
-
-        if scalex and self._autoscaleXon:
-            xshared = self._shared_x_axes.get_siblings(self)
-            dl = [ax.dataLim for ax in xshared]
-            #ignore non-finite data limits if good limits exist
-            finite_dl = [d for d in dl if np.isfinite(d).all()]
-            if len(finite_dl):
-                dl = finite_dl
-
-            bb = mtransforms.BboxBase.union(dl)
-            x0, x1 = bb.intervalx
-            xlocator = self.xaxis.get_major_locator()
-            try:
-                # e.g., DateLocator has its own nonsingular()
-                x0, x1 = xlocator.nonsingular(x0, x1)
-            except AttributeError:
-                # Default nonsingular for, e.g., MaxNLocator
-                x0, x1 = mtransforms.nonsingular(x0, x1, increasing=False,
-                                                 expander=0.05)
-            if self._xmargin > 0:
-                delta = (x1 - x0) * self._xmargin
-                x0 -= delta
-                x1 += delta
-            if not _tight:
-                x0, x1 = xlocator.view_limits(x0, x1)
-            self.set_xbound(x0, x1)
-
-        if scaley and self._autoscaleYon:
-            yshared = self._shared_y_axes.get_siblings(self)
-            dl = [ax.dataLim for ax in yshared]
-            #ignore non-finite data limits if good limits exist
-            finite_dl = [d for d in dl if np.isfinite(d).all()]
-            if len(finite_dl):
-                dl = finite_dl
-
-            bb = mtransforms.BboxBase.union(dl)
-            y0, y1 = bb.intervaly
-            ylocator = self.yaxis.get_major_locator()
-            try:
-                y0, y1 = ylocator.nonsingular(y0, y1)
-            except AttributeError:
-                y0, y1 = mtransforms.nonsingular(y0, y1, increasing=False,
-                                                 expander=0.05)
-            if self._ymargin > 0:
-                delta = (y1 - y0) * self._ymargin
-                y0 -= delta
-                y1 += delta
-            if not _tight:
-                y0, y1 = ylocator.view_limits(y0, y1)
-            self.set_ybound(y0, y1)
-
-    #### Drawing
-
-    @allow_rasterization
-    def draw(self, renderer=None, inframe=False):
-        """Draw everything (plot lines, axes, labels)"""
-        if renderer is None:
-            renderer = self._cachedRenderer
 
-        if renderer is None:
-            raise RuntimeError('No renderer defined')
+        If the views of the Axes are fixed, e.g. via `set_xlim`, they will
+        not be changed by autoscale_view().
+        See :meth:`matplotlib.axes.Axes.autoscale` for an alternative.
+        """
+        if tight is not None:
+            self._tight = bool(tight)
+
+        x_stickies = y_stickies = np.array([])
+        if self.use_sticky_edges:
+            if self._xmargin and scalex and self.get_autoscalex_on():
+                x_stickies = np.sort(np.concatenate([
+                    artist.sticky_edges.x
+                    for ax in self._shared_axes["x"].get_siblings(self)
+                    for artist in ax.get_children()]))
+            if self._ymargin and scaley and self.get_autoscaley_on():
+                y_stickies = np.sort(np.concatenate([
+                    artist.sticky_edges.y
+                    for ax in self._shared_axes["y"].get_siblings(self)
+                    for artist in ax.get_children()]))
+        if self.get_xscale() == 'log':
+            x_stickies = x_stickies[x_stickies > 0]
+        if self.get_yscale() == 'log':
+            y_stickies = y_stickies[y_stickies > 0]
+
+        def handle_single_axis(
+                scale, shared_axes, name, axis, margin, stickies, set_bound):
+
+            if not (scale and axis._get_autoscale_on()):
+                return  # nothing to do...
+
+            shared = shared_axes.get_siblings(self)
+            # Base autoscaling on finite data limits when there is at least one
+            # finite data limit among all the shared_axes and intervals.
+            values = [val for ax in shared
+                      for val in getattr(ax.dataLim, f"interval{name}")
+                      if np.isfinite(val)]
+            if values:
+                x0, x1 = (min(values), max(values))
+            elif getattr(self._viewLim, f"mutated{name}")():
+                # No data, but explicit viewLims already set:
+                # in mutatedx or mutatedy.
+                return
+            else:
+                x0, x1 = (-np.inf, np.inf)
+            # If x0 and x1 are nonfinite, get default limits from the locator.
+            locator = axis.get_major_locator()
+            x0, x1 = locator.nonsingular(x0, x1)
+            # Find the minimum minpos for use in the margin calculation.
+            minimum_minpos = min(
+                getattr(ax.dataLim, f"minpos{name}") for ax in shared)
+
+            # Prevent margin addition from crossing a sticky value.  A small
+            # tolerance must be added due to floating point issues with
+            # streamplot; it is defined relative to x1-x0 but has
+            # no absolute term (e.g. "+1e-8") to avoid issues when working with
+            # datasets where all values are tiny (less than 1e-8).
+            tol = 1e-5 * abs(x1 - x0)
+            # Index of largest element < x0 + tol, if any.
+            i0 = stickies.searchsorted(x0 + tol) - 1
+            x0bound = stickies[i0] if i0 != -1 else None
+            # Index of smallest element > x1 - tol, if any.
+            i1 = stickies.searchsorted(x1 - tol)
+            x1bound = stickies[i1] if i1 != len(stickies) else None
+
+            # Add the margin in figure space and then transform back, to handle
+            # non-linear scales.
+            transform = axis.get_transform()
+            inverse_trans = transform.inverted()
+            x0, x1 = axis._scale.limit_range_for_scale(x0, x1, minimum_minpos)
+            x0t, x1t = transform.transform([x0, x1])
+            delta = (x1t - x0t) * margin
+            if not np.isfinite(delta):
+                delta = 0  # If a bound isn't finite, set margin to zero.
+            x0, x1 = inverse_trans.transform([x0t - delta, x1t + delta])
+
+            # Apply sticky bounds.
+            if x0bound is not None:
+                x0 = max(x0, x0bound)
+            if x1bound is not None:
+                x1 = min(x1, x1bound)
+
+            if not self._tight:
+                x0, x1 = locator.view_limits(x0, x1)
+            set_bound(x0, x1)
+            # End of definition of internal function 'handle_single_axis'.
+
+        handle_single_axis(
+            scalex, self._shared_axes["x"], 'x', self.xaxis, self._xmargin,
+            x_stickies, self.set_xbound)
+        handle_single_axis(
+            scaley, self._shared_axes["y"], 'y', self.yaxis, self._ymargin,
+            y_stickies, self.set_ybound)
+
+    def _update_title_position(self, renderer):
+        """
+        Update the title position based on the bounding box enclosing
+        all the ticklabels and x-axis spine and xlabel...
+        """
+        if self._autotitlepos is not None and not self._autotitlepos:
+            _log.debug('title position was updated manually, not adjusting')
+            return
+
+        titles = (self.title, self._left_title, self._right_title)
+
+        if not any(title.get_text() for title in titles):
+            # If the titles are all empty, there is no need to update their positions.
+            return
+
+        # Need to check all our twins too, aligned axes, and all the children
+        # as well.
+        axs = set()
+        axs.update(self.child_axes)
+        axs.update(self._twinned_axes.get_siblings(self))
+        axs.update(
+            self.get_figure(root=False)._align_label_groups['title'].get_siblings(self))
+
+        for ax in self.child_axes:  # Child positions must be updated first.
+            locator = ax.get_axes_locator()
+            ax.apply_aspect(locator(self, renderer) if locator else None)
+
+        top = -np.inf
+        for ax in axs:
+            bb = None
+            if (ax.xaxis.get_ticks_position() in ['top', 'unknown'] or
+                    ax.xaxis.get_label_position() == 'top'):
+                bb = ax.xaxis.get_tightbbox(renderer)
+            if bb is None:
+                # Extent of the outline for colorbars, of the axes otherwise.
+                bb = ax.spines.get("outline", ax).get_window_extent()
+            top = max(top, bb.ymax)
+
+        for title in titles:
+            x, _ = title.get_position()
+            # need to start again in case of window resizing
+            title.set_position((x, 1.0))
+            if title.get_text():
+                for ax in axs:
+                    ax.yaxis.get_tightbbox(renderer)  # update offsetText
+                    if ax.yaxis.offsetText.get_text():
+                        bb = ax.yaxis.offsetText.get_tightbbox(renderer)
+                        if bb.intersection(title.get_tightbbox(renderer), bb):
+                            top = bb.ymax
+            if top < 0:
+                # the top of Axes is not even on the figure, so don't try and
+                # automatically place it.
+                _log.debug('top of Axes not in the figure, so title not moved')
+                return
+            if title.get_window_extent(renderer).ymin < top:
+                _, y = self.transAxes.inverted().transform((0, top))
+                title.set_position((x, y))
+                # empirically, this doesn't always get the min to top,
+                # so we need to adjust again.
+                if title.get_window_extent(renderer).ymin < top:
+                    _, y = self.transAxes.inverted().transform(
+                        (0., 2 * top - title.get_window_extent(renderer).ymin))
+                    title.set_position((x, y))
+
+        ymax = max(title.get_position()[1] for title in titles)
+        for title in titles:
+            # now line up all the titles at the highest baseline.
+            x, _ = title.get_position()
+            title.set_position((x, ymax))
+
+    # Drawing
+    @martist.allow_rasterization
+    def draw(self, renderer):
+        # docstring inherited
+        if renderer is None:
+            raise RuntimeError('No renderer defined')
         if not self.get_visible():
             return
-        renderer.open_group('axes')
+        self._unstale_viewLim()
 
-        locator = self.get_axes_locator()
-        if locator:
-            pos = locator(self, renderer)
-            self.apply_aspect(pos)
-        else:
-            self.apply_aspect()
+        renderer.open_group('axes', gid=self.get_gid())
 
-        artists = []
+        # prevent triggering call backs during the draw process
+        self._stale = True
 
-        artists.extend(self.collections)
-        artists.extend(self.patches)
-        artists.extend(self.lines)
-        artists.extend(self.texts)
-        artists.extend(self.artists)
+        # loop over self and child Axes...
+        locator = self.get_axes_locator()
+        self.apply_aspect(locator(self, renderer) if locator else None)
+
+        artists = self.get_children()
+        artists.remove(self.patch)
 
-        # the frame draws the edges around the axes patch -- we
+        # the frame draws the edges around the Axes patch -- we
         # decouple these so the patch can be in the background and the
         # frame in the foreground. Do this before drawing the axis
         # objects so that the spine has the opportunity to update them.
-        if self.axison and self._frameon:
-            artists.extend(six.itervalues(self.spines))
+        if not (self.axison and self._frameon):
+            for spine in self.spines.values():
+                artists.remove(spine)
 
-        if self.axison and not inframe:
-            if self._axisbelow:
-                self.xaxis.set_zorder(0.5)
-                self.yaxis.set_zorder(0.5)
-            else:
-                self.xaxis.set_zorder(2.5)
-                self.yaxis.set_zorder(2.5)
-            artists.extend([self.xaxis, self.yaxis])
-        if not inframe:
-            artists.append(self.title)
-            artists.append(self._left_title)
-            artists.append(self._right_title)
-        artists.extend(self.tables)
-        if self.legend_ is not None:
-            artists.append(self.legend_)
-
-        if self.figure.canvas.is_saving():
-            dsu = [(a.zorder, a) for a in artists]
-        else:
-            dsu = [(a.zorder, a) for a in artists
-                   if not a.get_animated()]
-
-        # add images to dsu if the backend support compositing.
-        # otherwise, does the manaul compositing  without adding images to dsu.
-        if len(self.images) <= 1 or renderer.option_image_nocomposite():
-            dsu.extend([(im.zorder, im) for im in self.images])
-            _do_composite = False
-        else:
-            _do_composite = True
+        self._update_title_position(renderer)
 
-        dsu.sort(key=itemgetter(0))
+        if not self.axison:
+            for _axis in self._axis_map.values():
+                artists.remove(_axis)
+
+        if not self.get_figure(root=True).canvas.is_saving():
+            artists = [
+                a for a in artists
+                if not a.get_animated() or isinstance(a, mimage.AxesImage)]
+        artists = sorted(artists, key=attrgetter('zorder'))
 
         # rasterize artists with negative zorder
         # if the minimum zorder is negative, start rasterization
         rasterization_zorder = self._rasterization_zorder
+
         if (rasterization_zorder is not None and
-            len(dsu) > 0 and dsu[0][0] < rasterization_zorder):
-            renderer.start_rasterizing()
-            dsu_rasterized = [l for l in dsu if l[0] < rasterization_zorder]
-            dsu = [l for l in dsu if l[0] >= rasterization_zorder]
+                artists and artists[0].zorder < rasterization_zorder):
+            split_index = np.searchsorted(
+                [art.zorder for art in artists],
+                rasterization_zorder, side='right'
+            )
+            artists_rasterized = artists[:split_index]
+            artists = artists[split_index:]
         else:
-            dsu_rasterized = []
+            artists_rasterized = []
 
-        # the patch draws the background rectangle -- the frame below
-        # will draw the edges
         if self.axison and self._frameon:
-            self.patch.draw(renderer)
-
-        if _do_composite:
-            # make a composite image blending alpha
-            # list of (mimage.Image, ox, oy)
-
-            zorder_images = [(im.zorder, im) for im in self.images
-                             if im.get_visible()]
-            zorder_images.sort(key=lambda x: x[0])
-
-            mag = renderer.get_image_magnification()
-            ims = [(im.make_image(mag), 0, 0, im.get_alpha())
-                   for z, im in zorder_images]
-
-            l, b, r, t = self.bbox.extents
-            width = int(mag * ((round(r) + 0.5) - (round(l) - 0.5)))
-            height = int(mag * ((round(t) + 0.5) - (round(b) - 0.5)))
-            im = mimage.from_images(height,
-                                    width,
-                                    ims)
-
-            im.is_grayscale = False
-            l, b, w, h = self.bbox.bounds
-            # composite images need special args so they will not
-            # respect z-order for now
-
-            gc = renderer.new_gc()
-            gc.set_clip_rectangle(self.bbox)
-            gc.set_clip_path(mtransforms.TransformedPath(
-                self.patch.get_path(),
-                self.patch.get_transform()))
-
-            renderer.draw_image(gc, round(l), round(b), im)
-            gc.restore()
-
-        if dsu_rasterized:
-            for zorder, a in dsu_rasterized:
-                a.draw(renderer)
-            renderer.stop_rasterizing()
+            if artists_rasterized:
+                artists_rasterized = [self.patch] + artists_rasterized
+            else:
+                artists = [self.patch] + artists
+
+        if artists_rasterized:
+            _draw_rasterized(self.get_figure(root=True), artists_rasterized, renderer)
 
-        for zorder, a in dsu:
-            a.draw(renderer)
+        mimage._draw_list_compositing_images(
+            renderer, self, artists, self.get_figure(root=True).suppressComposite)
 
         renderer.close_group('axes')
-        self._cachedRenderer = renderer
+        self.stale = False
 
     def draw_artist(self, a):
         """
-        This method can only be used after an initial draw which
-        caches the renderer.  It is used to efficiently update Axes
-        data (axis ticks, labels, etc are not updated)
+        Efficiently redraw a single artist.
         """
-        assert self._cachedRenderer is not None
-        a.draw(self._cachedRenderer)
+        a.draw(self.get_figure(root=True).canvas.get_renderer())
 
     def redraw_in_frame(self):
         """
-        This method can only be used after an initial draw which
-        caches the renderer.  It is used to efficiently update Axes
-        data (axis ticks, labels, etc are not updated)
+        Efficiently redraw Axes data, but not axis ticks, labels, etc.
         """
-        assert self._cachedRenderer is not None
-        self.draw(self._cachedRenderer, inframe=True)
+        with ExitStack() as stack:
+            for artist in [*self._axis_map.values(),
+                           self.title, self._left_title, self._right_title]:
+                stack.enter_context(artist._cm_set(visible=False))
+            self.draw(self.get_figure(root=True).canvas.get_renderer())
 
-    def get_renderer_cache(self):
-        return self._cachedRenderer
-
-    #### Axes rectangle characteristics
+    # Axes rectangle characteristics
 
     def get_frame_on(self):
-        """
-        Get whether the axes rectangle patch is drawn
-        """
+        """Get whether the Axes rectangle patch is drawn."""
         return self._frameon
 
     def set_frame_on(self, b):
         """
-        Set whether the axes rectangle patch is drawn
+        Set whether the Axes rectangle patch is drawn.
 
-        ACCEPTS: [ *True* | *False* ]
+        Parameters
+        ----------
+        b : bool
         """
         self._frameon = b
+        self.stale = True
 
     def get_axisbelow(self):
         """
-        Get whether axis below is true or not
-        """
-        return self._axisbelow
+        Get whether axis ticks and gridlines are above or below most artists.
 
-    def set_axisbelow(self, b):
-        """
-        Set whether the axis ticks and gridlines are above or below most
-        artists
+        Returns
+        -------
+        bool or 'line'
 
-        ACCEPTS: [ *True* | *False* ]
+        See Also
+        --------
+        set_axisbelow
         """
-        self._axisbelow = b
+        return self._axisbelow
 
-    @docstring.dedent_interpd
-    def grid(self, b=None, which='major', axis='both', **kwargs):
+    def set_axisbelow(self, b):
         """
-        Turn the axes grids on or off.
-
-        Call signature::
-
-           grid(self, b=None, which='major', axis='both', **kwargs)
+        Set whether axis ticks and gridlines are above or below most artists.
 
-        Set the axes grids on or off; *b* is a boolean.  (For MATLAB
-        compatibility, *b* may also be a string, 'on' or 'off'.)
+        This controls the zorder of the ticks and gridlines. For more
+        information on the zorder see :doc:`/gallery/misc/zorder_demo`.
 
-        If *b* is *None* and ``len(kwargs)==0``, toggle the grid state.  If
-        *kwargs* are supplied, it is assumed that you want a grid and *b*
-        is thus set to *True*.
+        Parameters
+        ----------
+        b : bool or 'line'
+            Possible values:
+
+            - *True* (zorder = 0.5): Ticks and gridlines are below patches and
+              lines, though still above images.
+            - 'line' (zorder = 1.5): Ticks and gridlines are above patches
+              (e.g. rectangles, with default zorder = 1) but still below lines
+              and markers (with their default zorder = 2).
+            - *False* (zorder = 2.5): Ticks and gridlines are above patches
+              and lines / markers.
+
+        Notes
+        -----
+        For more control, call the `~.Artist.set_zorder` method of each axis.
+
+        See Also
+        --------
+        get_axisbelow
+        """
+        # Check that b is True, False or 'line'
+        self._axisbelow = axisbelow = validate_axisbelow(b)
+        zorder = {
+            True: 0.5,
+            'line': 1.5,
+            False: 2.5,
+        }[axisbelow]
+        for axis in self._axis_map.values():
+            axis.set_zorder(zorder)
+        self.stale = True
+
+    @_docstring.interpd
+    def grid(self, visible=None, which='major', axis='both', **kwargs):
+        """
+        Configure the grid lines.
 
-        *which* can be 'major' (default), 'minor', or 'both' to control
-        whether major tick grids, minor tick grids, or both are affected.
+        Parameters
+        ----------
+        visible : bool or None, optional
+            Whether to show the grid lines.  If any *kwargs* are supplied, it
+            is assumed you want the grid on and *visible* will be set to True.
 
-        *axis* can be 'both' (default), 'x', or 'y' to control which
-        set of gridlines are drawn.
+            If *visible* is *None* and there are no *kwargs*, this toggles the
+            visibility of the lines.
 
-        *kwargs* are used to set the grid line properties, e.g.,::
+        which : {'major', 'minor', 'both'}, optional
+            The grid lines to apply the changes on.
 
-           ax.grid(color='r', linestyle='-', linewidth=2)
+        axis : {'both', 'x', 'y'}, optional
+            The axis to apply the changes on.
 
-        Valid :class:`~matplotlib.lines.Line2D` kwargs are
+        **kwargs : `~matplotlib.lines.Line2D` properties
+            Define the line properties of the grid, e.g.::
 
-        %(Line2D)s
+                grid(color='r', linestyle='-', linewidth=2)
 
-        """
-        if len(kwargs):
-            b = True
-        b = _string_to_bool(b)
+            Valid keyword arguments are:
 
-        if axis == 'x' or axis == 'both':
-            self.xaxis.grid(b, which=which, **kwargs)
-        if axis == 'y' or axis == 'both':
-            self.yaxis.grid(b, which=which, **kwargs)
+            %(Line2D:kwdoc)s
 
-    def ticklabel_format(self, **kwargs):
+        Notes
+        -----
+        The axis is drawn as a unit, so the effective zorder for drawing the
+        grid is determined by the zorder of each axis, not by the zorder of the
+        `.Line2D` objects comprising the grid.  Therefore, to set grid zorder,
+        use `.set_axisbelow` or, for more control, call the
+        `~.Artist.set_zorder` method of each axis.
         """
-        Change the `~matplotlib.ticker.ScalarFormatter` used by
-        default for linear axes.
-
-        Optional keyword arguments:
+        _api.check_in_list(['x', 'y', 'both'], axis=axis)
+        if axis in ['x', 'both']:
+            self.xaxis.grid(visible, which=which, **kwargs)
+        if axis in ['y', 'both']:
+            self.yaxis.grid(visible, which=which, **kwargs)
 
-          ============   =========================================
-          Keyword        Description
-          ============   =========================================
-          *style*        [ 'sci' (or 'scientific') | 'plain' ]
-                         plain turns off scientific notation
-          *scilimits*    (m, n), pair of integers; if *style*
-                         is 'sci', scientific notation will
-                         be used for numbers outside the range
-                         10`m`:sup: to 10`n`:sup:.
-                         Use (0,0) to include all numbers.
-          *useOffset*    [True | False | offset]; if True,
-                         the offset will be calculated as needed;
-                         if False, no offset will be used; if a
-                         numeric offset is specified, it will be
-                         used.
-          *axis*         [ 'x' | 'y' | 'both' ]
-          *useLocale*    If True, format the number according to
-                         the current locale.  This affects things
-                         such as the character used for the
-                         decimal separator.  If False, use
-                         C-style (English) formatting.  The
-                         default setting is controlled by the
-                         axes.formatter.use_locale rcparam.
-          ============   =========================================
+    def ticklabel_format(self, *, axis='both', style=None, scilimits=None,
+                         useOffset=None, useLocale=None, useMathText=None):
+        r"""
+        Configure the `.ScalarFormatter` used by default for linear Axes.
 
-        Only the major ticks are affected.
-        If the method is called when the
-        :class:`~matplotlib.ticker.ScalarFormatter` is not the
-        :class:`~matplotlib.ticker.Formatter` being used, an
-        :exc:`AttributeError` will be raised.
+        If a parameter is not set, the corresponding property of the formatter
+        is left unchanged.
 
-        """
-        style = kwargs.pop('style', '').lower()
-        scilimits = kwargs.pop('scilimits', None)
-        useOffset = kwargs.pop('useOffset', None)
-        useLocale = kwargs.pop('useLocale', None)
-        axis = kwargs.pop('axis', 'both').lower()
+        Parameters
+        ----------
+        axis : {'x', 'y', 'both'}, default: 'both'
+            The axis to configure.  Only major ticks are affected.
+
+        style : {'sci', 'scientific', 'plain'}
+            Whether to use scientific notation.
+            The formatter default is to use scientific notation.
+            'sci' is equivalent to 'scientific'.
+
+        scilimits : pair of ints (m, n)
+            Scientific notation is used only for numbers outside the range
+            10\ :sup:`m` to 10\ :sup:`n` (and only if the formatter is
+            configured to use scientific notation at all).  Use (0, 0) to
+            include all numbers.  Use (m, m) where m != 0 to fix the order of
+            magnitude to 10\ :sup:`m`.
+            The formatter default is :rc:`axes.formatter.limits`.
+
+        useOffset : bool or float
+            If True, the offset is calculated as needed.
+            If False, no offset is used.
+            If a numeric value, it sets the offset.
+            The formatter default is :rc:`axes.formatter.useoffset`.
+
+        useLocale : bool
+            Whether to format the number using the current locale or using the
+            C (English) locale.  This affects e.g. the decimal separator.  The
+            formatter default is :rc:`axes.formatter.use_locale`.
+
+        useMathText : bool
+            Render the offset and scientific notation in mathtext.
+            The formatter default is :rc:`axes.formatter.use_mathtext`.
+
+        Raises
+        ------
+        AttributeError
+            If the current formatter is not a `.ScalarFormatter`.
+        """
+        if isinstance(style, str):
+            style = style.lower()
+        axis = axis.lower()
         if scilimits is not None:
             try:
                 m, n = scilimits
                 m + n + 1  # check that both are numbers
-            except (ValueError, TypeError):
-                raise ValueError("scilimits must be a sequence of 2 integers")
-        if style[:3] == 'sci':
-            sb = True
-        elif style in ['plain', 'comma']:
-            sb = False
-            if style == 'plain':
-                cb = False
-            else:
-                cb = True
-                raise NotImplementedError("comma style remains to be added")
-        elif style == '':
-            sb = None
-        else:
-            raise ValueError("%s is not a valid style value")
+            except (ValueError, TypeError) as err:
+                raise ValueError("scilimits must be a sequence of 2 integers"
+                                 ) from err
+        STYLES = {'sci': True, 'scientific': True, 'plain': False, '': None, None: None}
+        # The '' option is included for backwards-compatibility.
+        is_sci_style = _api.check_getitem(STYLES, style=style)
+        axis_map = {**{k: [v] for k, v in self._axis_map.items()},
+                    'both': list(self._axis_map.values())}
+        axises = _api.check_getitem(axis_map, axis=axis)
         try:
-            if sb is not None:
-                if axis == 'both' or axis == 'x':
-                    self.xaxis.major.formatter.set_scientific(sb)
-                if axis == 'both' or axis == 'y':
-                    self.yaxis.major.formatter.set_scientific(sb)
-            if scilimits is not None:
-                if axis == 'both' or axis == 'x':
-                    self.xaxis.major.formatter.set_powerlimits(scilimits)
-                if axis == 'both' or axis == 'y':
-                    self.yaxis.major.formatter.set_powerlimits(scilimits)
-            if useOffset is not None:
-                if axis == 'both' or axis == 'x':
-                    self.xaxis.major.formatter.set_useOffset(useOffset)
-                if axis == 'both' or axis == 'y':
-                    self.yaxis.major.formatter.set_useOffset(useOffset)
-            if useLocale is not None:
-                if axis == 'both' or axis == 'x':
-                    self.xaxis.major.formatter.set_useLocale(useLocale)
-                if axis == 'both' or axis == 'y':
-                    self.yaxis.major.formatter.set_useLocale(useLocale)
-        except AttributeError:
+            for axis in axises:
+                if is_sci_style is not None:
+                    axis.major.formatter.set_scientific(is_sci_style)
+                if scilimits is not None:
+                    axis.major.formatter.set_powerlimits(scilimits)
+                if useOffset is not None:
+                    axis.major.formatter.set_useOffset(useOffset)
+                if useLocale is not None:
+                    axis.major.formatter.set_useLocale(useLocale)
+                if useMathText is not None:
+                    axis.major.formatter.set_useMathText(useMathText)
+        except AttributeError as err:
             raise AttributeError(
-                "This method only works with the ScalarFormatter.")
+                "This method only works with the ScalarFormatter") from err
 
     def locator_params(self, axis='both', tight=None, **kwargs):
         """
-        Control behavior of tick locators.
-
-        Keyword arguments:
+        Control behavior of major tick locators.
 
-        *axis*
-            ['x' | 'y' | 'both']  Axis on which to operate;
-            default is 'both'.
+        Because the locator is involved in autoscaling, `~.Axes.autoscale_view`
+        is called automatically after the parameters are changed.
 
-        *tight*
-            [True | False | None] Parameter passed to :meth:`autoscale_view`.
+        Parameters
+        ----------
+        axis : {'both', 'x', 'y'}, default: 'both'
+            The axis on which to operate.  (For 3D Axes, *axis* can also be
+            set to 'z', and 'both' refers to all three axes.)
+        tight : bool or None, optional
+            Parameter passed to `~.Axes.autoscale_view`.
             Default is None, for no change.
 
-        Remaining keyword arguments are passed to directly to the
-        :meth:`~matplotlib.ticker.MaxNLocator.set_params` method.
+        Other Parameters
+        ----------------
+        **kwargs
+            Remaining keyword arguments are passed to directly to the
+            ``set_params()`` method of the locator. Supported keywords depend
+            on the type of the locator. See for example
+            `~.ticker.MaxNLocator.set_params` for the `.ticker.MaxNLocator`
+            used by default for linear.
 
-        Typically one might want to reduce the maximum number
-        of ticks and use tight bounds when plotting small
-        subplots, for example::
+        Examples
+        --------
+        When plotting small subplots, one might want to reduce the maximum
+        number of ticks and use tight bounds, for example::
 
             ax.locator_params(tight=True, nbins=4)
 
-        Because the locator is involved in autoscaling,
-        :meth:`autoscale_view` is called automatically after
-        the parameters are changed.
-
-        This presently works only for the
-        :class:`~matplotlib.ticker.MaxNLocator` used
-        by default on linear axes, but it may be generalized.
         """
-        _x = axis in ['x', 'both']
-        _y = axis in ['y', 'both']
-        if _x:
-            self.xaxis.get_major_locator().set_params(**kwargs)
-        if _y:
-            self.yaxis.get_major_locator().set_params(**kwargs)
-        self.autoscale_view(tight=tight, scalex=_x, scaley=_y)
+        _api.check_in_list([*self._axis_names, "both"], axis=axis)
+        for name in self._axis_names:
+            if axis in [name, "both"]:
+                loc = self._axis_map[name].get_major_locator()
+                loc.set_params(**kwargs)
+                self._request_autoscale_view(name, tight=tight)
+        self.stale = True
 
     def tick_params(self, axis='both', **kwargs):
         """
-        Change the appearance of ticks and tick labels.
-
-        Keyword arguments:
-
-        *axis* : ['x' | 'y' | 'both']
-            Axis on which to operate; default is 'both'.
-
-        *reset* : [True | False]
-            If *True*, set all parameters to defaults
-            before processing other keyword arguments.  Default is
-            *False*.
+        Change the appearance of ticks, tick labels, and gridlines.
 
-        *which* : ['major' | 'minor' | 'both']
-            Default is 'major'; apply arguments to *which* ticks.
+        Tick properties that are not explicitly set using the keyword
+        arguments remain unchanged unless *reset* is True. For the current
+        style settings, see `.Axis.get_tick_params`.
 
-        *direction* : ['in' | 'out' | 'inout']
-            Puts ticks inside the axes, outside the axes, or both.
-
-        *length*
+        Parameters
+        ----------
+        axis : {'x', 'y', 'both'}, default: 'both'
+            The axis to which the parameters are applied.
+        which : {'major', 'minor', 'both'}, default: 'major'
+            The group of ticks to which the parameters are applied.
+        reset : bool, default: False
+            Whether to reset the ticks to defaults before updating them.
+
+        Other Parameters
+        ----------------
+        direction : {'in', 'out', 'inout'}
+            Puts ticks inside the Axes, outside the Axes, or both.
+        length : float
             Tick length in points.
-
-        *width*
+        width : float
             Tick width in points.
-
-        *color*
-            Tick color; accepts any mpl color spec.
-
-        *pad*
+        color : :mpltype:`color`
+            Tick color.
+        pad : float
             Distance in points between tick and label.
-
-        *labelsize*
+        labelsize : float or str
             Tick label font size in points or as a string (e.g., 'large').
-
-        *labelcolor*
-            Tick label color; mpl color spec.
-
-        *colors*
-            Changes the tick color and the label color to the same value:
-            mpl color spec.
-
-        *zorder*
+        labelcolor : :mpltype:`color`
+            Tick label color.
+        labelfontfamily : str
+            Tick label font.
+        colors : :mpltype:`color`
+            Tick color and label color.
+        zorder : float
             Tick and label zorder.
+        bottom, top, left, right : bool
+            Whether to draw the respective ticks.
+        labelbottom, labeltop, labelleft, labelright : bool
+            Whether to draw the respective tick labels.
+        labelrotation : float
+            Tick label rotation angle in degrees. See `.Text.set_rotation`.
+        labelrotation_mode : {'default', 'anchor', 'xtick', 'ytick'}
+            Tick label rotation mode. See `.Text.set_rotation_mode`.
+        grid_color : :mpltype:`color`
+            Gridline color.
+        grid_alpha : float
+            Transparency of gridlines: 0 (transparent) to 1 (opaque).
+        grid_linewidth : float
+            Width of gridlines in points.
+        grid_linestyle : str
+            Any valid `.Line2D` line style spec.
+
+        Examples
+        --------
+        ::
 
-        *bottom*, *top*, *left*, *right* : [bool | 'on' | 'off']
-            controls whether to draw the respective ticks.
-
-        *labelbottom*, *labeltop*, *labelleft*, *labelright*
-            Boolean or ['on' | 'off'], controls whether to draw the
-            respective tick labels.
-
-        Example::
-
-            ax.tick_params(direction='out', length=6, width=2, colors='r')
+            ax.tick_params(direction='out', length=6, width=2, colors='r',
+                           grid_color='r', grid_alpha=0.5)
 
         This will make all major ticks be red, pointing out of the box,
         and with dimensions 6 points by 2 points.  Tick labels will
-        also be red.
+        also be red.  Gridlines will be red and translucent.
 
         """
+        _api.check_in_list(['x', 'y', 'both'], axis=axis)
         if axis in ['x', 'both']:
             xkw = dict(kwargs)
             xkw.pop('left', None)
@@ -2390,46 +3540,128 @@ def tick_params(self, axis='both', **kwargs):
             self.yaxis.set_tick_params(**ykw)
 
     def set_axis_off(self):
-        """turn off the axis"""
+        """
+        Hide all visual components of the x- and y-axis.
+
+        This sets a flag to suppress drawing of all axis decorations, i.e.
+        axis labels, axis spines, and the axis tick component (tick markers,
+        tick labels, and grid lines). Individual visibility settings of these
+        components are ignored as long as `set_axis_off()` is in effect.
+        """
         self.axison = False
+        self.stale = True
 
     def set_axis_on(self):
-        """turn on the axis"""
+        """
+        Do not hide all visual components of the x- and y-axis.
+
+        This reverts the effect of a prior `.set_axis_off()` call. Whether the
+        individual axis decorations are drawn is controlled by their respective
+        visibility settings.
+
+        This is on by default.
+        """
         self.axison = True
+        self.stale = True
 
-    def get_axis_bgcolor(self):
-        """Return the axis background color"""
-        return self._axisbg
+    # data limits, ticks, tick labels, and formatting
 
-    def set_axis_bgcolor(self, color):
+    def get_xlabel(self):
         """
-        set the axes background color
+        Get the xlabel text string.
+        """
+        label = self.xaxis.label
+        return label.get_text()
 
-        ACCEPTS: any matplotlib color - see
-        :func:`~matplotlib.pyplot.colors`
+    def set_xlabel(self, xlabel, fontdict=None, labelpad=None, *,
+                   loc=None, **kwargs):
         """
+        Set the label for the x-axis.
 
-        self._axisbg = color
-        self.patch.set_facecolor(color)
+        Parameters
+        ----------
+        xlabel : str
+            The label text.
+
+        labelpad : float, default: :rc:`axes.labelpad`
+            Spacing in points from the Axes bounding box including ticks
+            and tick labels.  If None, the previous value is left as is.
+
+        loc : {'left', 'center', 'right'}, default: :rc:`xaxis.labellocation`
+            The label position. This is a high-level alternative for passing
+            parameters *x* and *horizontalalignment*.
+
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.text.Text` properties
+            `.Text` properties control the appearance of the label.
+
+        See Also
+        --------
+        text : Documents the properties supported by `.Text`.
+        """
+        if labelpad is not None:
+            self.xaxis.labelpad = labelpad
+        protected_kw = ['x', 'horizontalalignment', 'ha']
+        if {*kwargs} & {*protected_kw}:
+            if loc is not None:
+                raise TypeError(f"Specifying 'loc' is disallowed when any of "
+                                f"its corresponding low level keyword "
+                                f"arguments ({protected_kw}) are also "
+                                f"supplied")
 
-    ### data limits, ticks, tick labels, and formatting
+        else:
+            loc = mpl._val_or_rc(loc, 'xaxis.labellocation')
+            _api.check_in_list(('left', 'center', 'right'), loc=loc)
+
+            x = {
+                'left': 0,
+                'center': 0.5,
+                'right': 1,
+            }[loc]
+            kwargs.update(x=x, horizontalalignment=loc)
+
+        return self.xaxis.set_label_text(xlabel, fontdict, **kwargs)
 
     def invert_xaxis(self):
-        "Invert the x-axis."
-        left, right = self.get_xlim()
-        self.set_xlim(right, left, auto=None)
+        """
+        [*Discouraged*] Invert the x-axis.
 
-    def xaxis_inverted(self):
-        """Returns *True* if the x-axis is inverted."""
-        left, right = self.get_xlim()
-        return right < left
+        .. admonition:: Discouraged
 
-    def get_xbound(self):
+            The use of this method is discouraged.
+            Use `.Axes.set_xinverted` instead.
+
+        See Also
+        --------
+        get_xinverted
+        get_xlim, set_xlim
+        get_xbound, set_xbound
         """
-        Returns the x-axis numerical bounds where::
+        self.xaxis.set_inverted(not self.xaxis.get_inverted())
+
+    set_xinverted = _axis_method_wrapper("xaxis", "set_inverted")
+    get_xinverted = _axis_method_wrapper("xaxis", "get_inverted")
+    xaxis_inverted = _axis_method_wrapper("xaxis", "get_inverted")
+    if xaxis_inverted.__doc__:
+        xaxis_inverted.__doc__ = ("[*Discouraged*] " + xaxis_inverted.__doc__ +
+                                  textwrap.dedent("""
 
-          lowerBound < upperBound
+        .. admonition:: Discouraged
 
+            The use of this method is discouraged.
+            Use `.Axes.get_xinverted` instead.
+        """))
+
+    def get_xbound(self):
+        """
+        Return the lower and upper x-axis bounds, in increasing order.
+
+        See Also
+        --------
+        set_xbound
+        get_xlim, set_xlim
+        invert_xaxis, xaxis_inverted
         """
         left, right = self.get_xlim()
         if left < right:
@@ -2440,243 +3672,264 @@ def get_xbound(self):
     def set_xbound(self, lower=None, upper=None):
         """
         Set the lower and upper numerical bounds of the x-axis.
-        This method will honor axes inversion regardless of parameter order.
-        It will not change the _autoscaleXon attribute.
+
+        This method will honor axis inversion regardless of parameter order.
+        It will not change the autoscaling setting (`.get_autoscalex_on()`).
+
+        Parameters
+        ----------
+        lower, upper : float or None
+            The lower and upper bounds. If *None*, the respective axis bound
+            is not modified.
+
+            .. ACCEPTS: (lower: float, upper: float)
+
+        See Also
+        --------
+        get_xbound
+        get_xlim, set_xlim
+        invert_xaxis, xaxis_inverted
         """
-        if upper is None and iterable(lower):
+        if upper is None and np.iterable(lower):
             lower, upper = lower
 
         old_lower, old_upper = self.get_xbound()
-
         if lower is None:
             lower = old_lower
         if upper is None:
             upper = old_upper
 
-        if self.xaxis_inverted():
-            if lower < upper:
-                self.set_xlim(upper, lower, auto=None)
-            else:
-                self.set_xlim(lower, upper, auto=None)
-        else:
-            if lower < upper:
-                self.set_xlim(lower, upper, auto=None)
-            else:
-                self.set_xlim(upper, lower, auto=None)
+        self.set_xlim(sorted((lower, upper),
+                             reverse=bool(self.xaxis_inverted())),
+                      auto=None)
 
     def get_xlim(self):
         """
-        Get the x-axis range [*left*, *right*]
+        Return the x-axis view limits.
+
+        Returns
+        -------
+        left, right : (float, float)
+            The current x-axis limits in data coordinates.
+
+        See Also
+        --------
+        .Axes.set_xlim
+        .Axes.set_xbound, .Axes.get_xbound
+        .Axes.invert_xaxis, .Axes.xaxis_inverted
+
+        Notes
+        -----
+        The x-axis may be inverted, in which case the *left* value will
+        be greater than the *right* value.
         """
         return tuple(self.viewLim.intervalx)
 
-    def set_xlim(self, left=None, right=None, emit=True, auto=False, **kw):
+    def _validate_converted_limits(self, limit, convert):
         """
-        Call signature::
-
-          set_xlim(self, *args, **kwargs):
+        Raise ValueError if converted limits are non-finite.
 
-        Set the data limits for the xaxis
+        Note that this function also accepts None as a limit argument.
 
-        Examples::
+        Returns
+        -------
+        The limit value after call to convert(), or None if limit is None.
+        """
+        if limit is not None:
+            converted_limit = convert(limit)
+            if isinstance(converted_limit, np.ndarray):
+                converted_limit = converted_limit.squeeze()
+            if (isinstance(converted_limit, Real)
+                    and not np.isfinite(converted_limit)):
+                raise ValueError("Axis limits cannot be NaN or Inf")
+            return converted_limit
 
-          set_xlim((left, right))
-          set_xlim(left, right)
-          set_xlim(left=1) # right unchanged
-          set_xlim(right=1) # left unchanged
+    def set_xlim(self, left=None, right=None, *, emit=True, auto=False,
+                 xmin=None, xmax=None):
+        """
+        Set the x-axis view limits.
 
-        Keyword arguments:
+        Parameters
+        ----------
+        left : float, optional
+            The left xlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-          *left*: scalar
-            The left xlim; *xmin*, the previous name, may still be used
+            The left and right xlims may also be passed as the tuple
+            (*left*, *right*) as the first positional argument (or as
+            the *left* keyword argument).
 
-          *right*: scalar
-            The right xlim; *xmax*, the previous name, may still be used
+            .. ACCEPTS: (left: float, right: float)
 
-          *emit*: [ *True* | *False* ]
-            Notify observers of limit change
+        right : float, optional
+            The right xlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-          *auto*: [ *True* | *False* | *None* ]
-            Turn *x* autoscaling on (*True*), off (*False*; default),
-            or leave unchanged (*None*)
+        emit : bool, default: True
+            Whether to notify observers of limit change.
 
-        Note, the *left* (formerly *xmin*) value may be greater than
-        the *right* (formerly *xmax*).
-        For example, suppose *x* is years before present.
-        Then one might use::
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the x-axis. True turns on,
+            False turns off, None leaves unchanged.
 
-          set_ylim(5000, 0)
+        xmin, xmax : float, optional
+            They are equivalent to left and right respectively, and it is an
+            error to pass both *xmin* and *left* or *xmax* and *right*.
 
-        so 5000 years ago is on the left of the plot and the
+        Returns
+        -------
+        left, right : (float, float)
+            The new x-axis limits in data coordinates.
+
+        See Also
+        --------
+        get_xlim
+        set_xbound, get_xbound
+        invert_xaxis, xaxis_inverted
+
+        Notes
+        -----
+        The *left* value may be greater than the *right* value, in which
+        case the x-axis values will decrease from left to right.
+
+        Examples
+        --------
+        >>> set_xlim(left, right)
+        >>> set_xlim((left, right))
+        >>> left, right = set_xlim(left, right)
+
+        One limit may be left unchanged.
+
+        >>> set_xlim(right=right_lim)
+
+        Limits may be passed in reverse order to flip the direction of
+        the x-axis. For example, suppose *x* represents the number of
+        years before present. The x-axis limits might be set like the
+        following so 5000 years ago is on the left of the plot and the
         present is on the right.
 
-        Returns the current xlimits as a length 2 tuple
-
-        ACCEPTS: length 2 sequence of floats
+        >>> set_xlim(5000, 0)
         """
-        if 'xmin' in kw:
-            left = kw.pop('xmin')
-        if 'xmax' in kw:
-            right = kw.pop('xmax')
-        if kw:
-            raise ValueError("unrecognized kwargs: %s" %
-                             list(six.iterkeys(kw)))
-
-        if right is None and iterable(left):
+        if right is None and np.iterable(left):
             left, right = left
-
-        self._process_unit_info(xdata=(left, right))
-        if left is not None:
-            left = self.convert_xunits(left)
-        if right is not None:
-            right = self.convert_xunits(right)
-
-        old_left, old_right = self.get_xlim()
-        if left is None:
-            left = old_left
-        if right is None:
-            right = old_right
-
-        if left == right:
-            warnings.warn(
-                ('Attempting to set identical left==right results\n'
-                 'in singular transformations; automatically expanding.\n'
-                 'left=%s, right=%s') % (left, right))
-        left, right = mtransforms.nonsingular(left, right, increasing=False)
-        left, right = self.xaxis.limit_range_for_scale(left, right)
-
-        self.viewLim.intervalx = (left, right)
-        if auto is not None:
-            self._autoscaleXon = bool(auto)
-
-        if emit:
-            self.callbacks.process('xlim_changed', self)
-            # Call all of the other x-axes that are shared with this one
-            for other in self._shared_x_axes.get_siblings(self):
-                if other is not self:
-                    other.set_xlim(self.viewLim.intervalx,
-                                   emit=False, auto=auto)
-                    if (other.figure != self.figure and
-                        other.figure.canvas is not None):
-                        other.figure.canvas.draw_idle()
-
-        return left, right
-
-    def get_xscale(self):
-        return self.xaxis.get_scale()
-    get_xscale.__doc__ = "Return the xaxis scale string: %s""" % (
-        ", ".join(mscale.get_scale_names()))
-
-    @docstring.dedent_interpd
-    def set_xscale(self, value, **kwargs):
-        """
-        Call signature::
-
-          set_xscale(value)
-
-        Set the scaling of the x-axis: %(scale)s
-
-        ACCEPTS: [%(scale)s]
-
-        Different kwargs are accepted, depending on the scale:
-        %(scale_docs)s
-        """
-        # If the scale is being set to log, clip nonposx to prevent headaches
-        # around zero
-        if value.lower() == 'log' and 'nonposx' not in kwargs.keys():
-            kwargs['nonposx'] = 'clip'
-        self.xaxis._set_scale(value, **kwargs)
-        self.autoscale_view(scaley=False)
-        self._update_transScale()
-
-    def get_xticks(self, minor=False):
-        """Return the x ticks as a list of locations"""
-        return self.xaxis.get_ticklocs(minor=minor)
-
-    def set_xticks(self, ticks, minor=False):
-        """
-        Set the x ticks with list of *ticks*
-
-        ACCEPTS: sequence of floats
-        """
-        return self.xaxis.set_ticks(ticks, minor=minor)
-
-    def get_xmajorticklabels(self):
-        """
-        Get the xtick labels as a list of :class:`~matplotlib.text.Text`
-        instances.
-        """
-        return cbook.silent_list('Text xticklabel',
-                                 self.xaxis.get_majorticklabels())
-
-    def get_xminorticklabels(self):
-        """
-        Get the x minor tick labels as a list of
-        :class:`matplotlib.text.Text` instances.
-        """
-        return cbook.silent_list('Text xticklabel',
-                                 self.xaxis.get_minorticklabels())
-
-    def get_xticklabels(self, minor=False, which=None):
-        """
-        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
-        instances.
+        if xmin is not None:
+            if left is not None:
+                raise TypeError("Cannot pass both 'left' and 'xmin'")
+            left = xmin
+        if xmax is not None:
+            if right is not None:
+                raise TypeError("Cannot pass both 'right' and 'xmax'")
+            right = xmax
+        return self.xaxis._set_lim(left, right, emit=emit, auto=auto)
+
+    get_xscale = _axis_method_wrapper("xaxis", "get_scale")
+    set_xscale = _axis_method_wrapper("xaxis", "_set_axes_scale")
+    get_xticks = _axis_method_wrapper("xaxis", "get_ticklocs")
+    set_xticks = _axis_method_wrapper("xaxis", "set_ticks",
+                                      doc_sub={'set_ticks': 'set_xticks'})
+    get_xmajorticklabels = _axis_method_wrapper("xaxis", "get_majorticklabels")
+    get_xminorticklabels = _axis_method_wrapper("xaxis", "get_minorticklabels")
+    get_xticklabels = _axis_method_wrapper("xaxis", "get_ticklabels")
+    set_xticklabels = _axis_method_wrapper(
+        "xaxis", "set_ticklabels",
+        doc_sub={"Axis.set_ticks": "Axes.set_xticks"})
+
+    def get_ylabel(self):
+        """
+        Get the ylabel text string.
+        """
+        label = self.yaxis.label
+        return label.get_text()
+
+    def set_ylabel(self, ylabel, fontdict=None, labelpad=None, *,
+                   loc=None, **kwargs):
+        """
+        Set the label for the y-axis.
 
         Parameters
         ----------
-        minor : bool
-           If True return the minor ticklabels,
-           else return the major ticklabels
+        ylabel : str
+            The label text.
+
+        labelpad : float, default: :rc:`axes.labelpad`
+            Spacing in points from the Axes bounding box including ticks
+            and tick labels.  If None, the previous value is left as is.
+
+        loc : {'bottom', 'center', 'top'}, default: :rc:`yaxis.labellocation`
+            The label position. This is a high-level alternative for passing
+            parameters *y* and *horizontalalignment*.
+
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.text.Text` properties
+            `.Text` properties control the appearance of the label.
+
+        See Also
+        --------
+        text : Documents the properties supported by `.Text`.
+        """
+        if labelpad is not None:
+            self.yaxis.labelpad = labelpad
+        protected_kw = ['y', 'horizontalalignment', 'ha']
+        if {*kwargs} & {*protected_kw}:
+            if loc is not None:
+                raise TypeError(f"Specifying 'loc' is disallowed when any of "
+                                f"its corresponding low level keyword "
+                                f"arguments ({protected_kw}) are also "
+                                f"supplied")
 
-        which : None, ('minor', 'major', 'both')
-           Overrides `minor`.
+        else:
+            loc = mpl._val_or_rc(loc, 'yaxis.labellocation')
+            _api.check_in_list(('bottom', 'center', 'top'), loc=loc)
 
-           Selects which ticklabels to return
+            y, ha = {
+                'bottom': (0, 'left'),
+                'center': (0.5, 'center'),
+                'top': (1, 'right')
+            }[loc]
+            kwargs.update(y=y, horizontalalignment=ha)
 
-        Returns
-        -------
-        ret : list
-           List of :class:`~matplotlib.text.Text` instances.
-        """
-        return cbook.silent_list('Text xticklabel',
-                                 self.xaxis.get_ticklabels(minor=minor,
-                                                           which=which))
+        return self.yaxis.set_label_text(ylabel, fontdict, **kwargs)
 
-    @docstring.dedent_interpd
-    def set_xticklabels(self, labels, fontdict=None, minor=False, **kwargs):
+    def invert_yaxis(self):
         """
-        Call signature::
-
-          set_xticklabels(labels, fontdict=None, minor=False, **kwargs)
+        [*Discouraged*]  Invert the y-axis.
 
-        Set the xtick labels with list of strings *labels*. Return a
-        list of axis text instances.
+        .. admonition:: Discouraged
 
-        *kwargs* set the :class:`~matplotlib.text.Text` properties.
-        Valid properties are
-        %(Text)s
+            The use of this method is discouraged.
+            Use `.Axes.set_yinverted` instead.
 
-        ACCEPTS: sequence of strings
+        See Also
+        --------
+        get_yinverted
+        get_ylim, set_ylim
+        get_ybound, set_ybound
         """
-        return self.xaxis.set_ticklabels(labels, fontdict,
-                                         minor=minor, **kwargs)
+        self.yaxis.set_inverted(not self.yaxis.get_inverted())
 
-    def invert_yaxis(self):
-        """
-        Invert the y-axis.
-        """
-        bottom, top = self.get_ylim()
-        self.set_ylim(top, bottom, auto=None)
+    set_yinverted = _axis_method_wrapper("yaxis", "set_inverted")
+    get_yinverted = _axis_method_wrapper("yaxis", "get_inverted")
+    yaxis_inverted = _axis_method_wrapper("yaxis", "get_inverted")
+    if yaxis_inverted.__doc__:
+        yaxis_inverted.__doc__ = ("[*Discouraged*] " + yaxis_inverted.__doc__ +
+                                  textwrap.dedent("""
 
-    def yaxis_inverted(self):
-        """Returns *True* if the y-axis is inverted."""
-        bottom, top = self.get_ylim()
-        return top < bottom
+        .. admonition:: Discouraged
+
+            The use of this method is discouraged.
+            Use `.Axes.get_yinverted` instead.
+        """))
 
     def get_ybound(self):
         """
-        Return y-axis numerical bounds in the form of
-        ``lowerBound < upperBound``
+        Return the lower and upper y-axis bounds, in increasing order.
+
+        See Also
+        --------
+        set_ybound
+        get_ylim, set_ylim
+        invert_yaxis, yaxis_inverted
         """
         bottom, top = self.get_ylim()
         if bottom < top:
@@ -2687,366 +3940,425 @@ def get_ybound(self):
     def set_ybound(self, lower=None, upper=None):
         """
         Set the lower and upper numerical bounds of the y-axis.
-        This method will honor axes inversion regardless of parameter order.
-        It will not change the _autoscaleYon attribute.
+
+        This method will honor axis inversion regardless of parameter order.
+        It will not change the autoscaling setting (`.get_autoscaley_on()`).
+
+        Parameters
+        ----------
+        lower, upper : float or None
+            The lower and upper bounds. If *None*, the respective axis bound
+            is not modified.
+
+         .. ACCEPTS: (lower: float, upper: float)
+
+        See Also
+        --------
+        get_ybound
+        get_ylim, set_ylim
+        invert_yaxis, yaxis_inverted
         """
-        if upper is None and iterable(lower):
+        if upper is None and np.iterable(lower):
             lower, upper = lower
 
         old_lower, old_upper = self.get_ybound()
-
         if lower is None:
             lower = old_lower
         if upper is None:
             upper = old_upper
 
-        if self.yaxis_inverted():
-            if lower < upper:
-                self.set_ylim(upper, lower, auto=None)
-            else:
-                self.set_ylim(lower, upper, auto=None)
-        else:
-            if lower < upper:
-                self.set_ylim(lower, upper, auto=None)
-            else:
-                self.set_ylim(upper, lower, auto=None)
+        self.set_ylim(sorted((lower, upper),
+                             reverse=bool(self.yaxis_inverted())),
+                      auto=None)
 
     def get_ylim(self):
         """
-        Get the y-axis range [*bottom*, *top*]
-        """
-        return tuple(self.viewLim.intervaly)
-
-    def set_ylim(self, bottom=None, top=None, emit=True, auto=False, **kw):
-        """
-        Call signature::
-
-          set_ylim(self, *args, **kwargs):
-
-        Set the data limits for the yaxis
-
-        Examples::
-
-          set_ylim((bottom, top))
-          set_ylim(bottom, top)
-          set_ylim(bottom=1) # top unchanged
-          set_ylim(top=1) # bottom unchanged
-
-        Keyword arguments:
-
-          *bottom*: scalar
-            The bottom ylim; the previous name, *ymin*, may still be used
-
-          *top*: scalar
-            The top ylim; the previous name, *ymax*, may still be used
-
-          *emit*: [ *True* | *False* ]
-            Notify observers of limit change
-
-          *auto*: [ *True* | *False* | *None* ]
-            Turn *y* autoscaling on (*True*), off (*False*; default),
-            or leave unchanged (*None*)
-
-        Note, the *bottom* (formerly *ymin*) value may be greater than
-        the *top* (formerly *ymax*).
-        For example, suppose *y* is depth in the ocean.
-        Then one might use::
-
-          set_ylim(5000, 0)
-
-        so 5000 m depth is at the bottom of the plot and the
-        surface, 0 m, is at the top.
-
-        Returns the current ylimits as a length 2 tuple
-
-        ACCEPTS: length 2 sequence of floats
-        """
-        if 'ymin' in kw:
-            bottom = kw.pop('ymin')
-        if 'ymax' in kw:
-            top = kw.pop('ymax')
-        if kw:
-            raise ValueError("unrecognized kwargs: %s" %
-                             list(six.iterkeys(kw)))
-
-        if top is None and iterable(bottom):
-            bottom, top = bottom
-
-        if bottom is not None:
-            bottom = self.convert_yunits(bottom)
-        if top is not None:
-            top = self.convert_yunits(top)
-
-        old_bottom, old_top = self.get_ylim()
-
-        if bottom is None:
-            bottom = old_bottom
-        if top is None:
-            top = old_top
-
-        if bottom == top:
-            warnings.warn(
-                ('Attempting to set identical bottom==top results\n'
-                 'in singular transformations; automatically expanding.\n'
-                 'bottom=%s, top=%s') % (bottom, top))
-
-        bottom, top = mtransforms.nonsingular(bottom, top, increasing=False)
-        bottom, top = self.yaxis.limit_range_for_scale(bottom, top)
-
-        self.viewLim.intervaly = (bottom, top)
-        if auto is not None:
-            self._autoscaleYon = bool(auto)
-
-        if emit:
-            self.callbacks.process('ylim_changed', self)
-            # Call all of the other y-axes that are shared with this one
-            for other in self._shared_y_axes.get_siblings(self):
-                if other is not self:
-                    other.set_ylim(self.viewLim.intervaly,
-                                   emit=False, auto=auto)
-                    if (other.figure != self.figure and
-                            other.figure.canvas is not None):
-                        other.figure.canvas.draw_idle()
-
-        return bottom, top
-
-    def get_yscale(self):
-        return self.yaxis.get_scale()
-    get_yscale.__doc__ = "Return the yaxis scale string: %s""" % (
-        ", ".join(mscale.get_scale_names()))
-
-    @docstring.dedent_interpd
-    def set_yscale(self, value, **kwargs):
-        """
-        Call signature::
-
-          set_yscale(value)
+        Return the y-axis view limits.
 
-        Set the scaling of the y-axis: %(scale)s
+        Returns
+        -------
+        bottom, top : (float, float)
+            The current y-axis limits in data coordinates.
 
-        ACCEPTS: [%(scale)s]
+        See Also
+        --------
+        .Axes.set_ylim
+        .Axes.set_ybound, .Axes.get_ybound
+        .Axes.invert_yaxis, .Axes.yaxis_inverted
 
-        Different kwargs are accepted, depending on the scale:
-        %(scale_docs)s
+        Notes
+        -----
+        The y-axis may be inverted, in which case the *bottom* value
+        will be greater than the *top* value.
         """
-        # If the scale is being set to log, clip nonposy to prevent headaches
-        # around zero
-        if value.lower() == 'log' and 'nonposy' not in kwargs.keys():
-            kwargs['nonposy'] = 'clip'
-        self.yaxis._set_scale(value, **kwargs)
-        self.autoscale_view(scalex=False)
-        self._update_transScale()
-
-    def get_yticks(self, minor=False):
-        """Return the y ticks as a list of locations"""
-        return self.yaxis.get_ticklocs(minor=minor)
+        return tuple(self.viewLim.intervaly)
 
-    def set_yticks(self, ticks, minor=False):
+    def set_ylim(self, bottom=None, top=None, *, emit=True, auto=False,
+                 ymin=None, ymax=None):
         """
-        Set the y ticks with list of *ticks*
-
-        ACCEPTS: sequence of floats
+        Set the y-axis view limits.
 
-        Keyword arguments:
-
-          *minor*: [ *False* | *True* ]
-            Sets the minor ticks if *True*
-        """
-        return self.yaxis.set_ticks(ticks, minor=minor)
+        Parameters
+        ----------
+        bottom : float, optional
+            The bottom ylim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-    def get_ymajorticklabels(self):
-        """
-        Get the major y tick labels as a list of
-        :class:`~matplotlib.text.Text` instances.
-        """
-        return cbook.silent_list('Text yticklabel',
-                                 self.yaxis.get_majorticklabels())
+            The bottom and top ylims may also be passed as the tuple
+            (*bottom*, *top*) as the first positional argument (or as
+            the *bottom* keyword argument).
 
-    def get_yminorticklabels(self):
-        """
-        Get the minor y tick labels as a list of
-        :class:`~matplotlib.text.Text` instances.
-        """
-        return cbook.silent_list('Text yticklabel',
-                                 self.yaxis.get_minorticklabels())
+            .. ACCEPTS: (bottom: float, top: float)
 
-    def get_yticklabels(self, minor=False, which=None):
-        """
-        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
-        instances.
+        top : float, optional
+            The top ylim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-        Parameters
-        ----------
-        minor : bool
-           If True return the minor ticklabels,
-           else return the major ticklabels
+        emit : bool, default: True
+            Whether to notify observers of limit change.
 
-        which : None, ('minor', 'major', 'both')
-           Overrides `minor`.
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the y-axis. *True* turns on,
+            *False* turns off, *None* leaves unchanged.
 
-           Selects which ticklabels to return
+        ymin, ymax : float, optional
+            They are equivalent to bottom and top respectively, and it is an
+            error to pass both *ymin* and *bottom* or *ymax* and *top*.
 
         Returns
         -------
-        ret : list
-           List of :class:`~matplotlib.text.Text` instances.
-        """
-        return cbook.silent_list('Text yticklabel',
-                                  self.yaxis.get_ticklabels(minor=minor,
-                                                            which=which))
+        bottom, top : (float, float)
+            The new y-axis limits in data coordinates.
 
-    @docstring.dedent_interpd
-    def set_yticklabels(self, labels, fontdict=None, minor=False, **kwargs):
-        """
-        Call signature::
-
-          set_yticklabels(labels, fontdict=None, minor=False, **kwargs)
-
-        Set the y tick labels with list of strings *labels*.  Return a list of
-        :class:`~matplotlib.text.Text` instances.
+        See Also
+        --------
+        get_ylim
+        set_ybound, get_ybound
+        invert_yaxis, yaxis_inverted
 
-        *kwargs* set :class:`~matplotlib.text.Text` properties for the labels.
-        Valid properties are
-        %(Text)s
+        Notes
+        -----
+        The *bottom* value may be greater than the *top* value, in which
+        case the y-axis values will decrease from *bottom* to *top*.
 
-        ACCEPTS: sequence of strings
-        """
-        return self.yaxis.set_ticklabels(labels, fontdict,
-                                         minor=minor, **kwargs)
+        Examples
+        --------
+        >>> set_ylim(bottom, top)
+        >>> set_ylim((bottom, top))
+        >>> bottom, top = set_ylim(bottom, top)
 
-    def xaxis_date(self, tz=None):
-        """
-        Sets up x-axis ticks and labels that treat the x data as dates.
+        One limit may be left unchanged.
 
-        *tz* is a timezone string or :class:`tzinfo` instance.
-        Defaults to rc value.
-        """
-        # should be enough to inform the unit conversion interface
-        # dates are coming in
-        self.xaxis.axis_date(tz)
+        >>> set_ylim(top=top_lim)
 
-    def yaxis_date(self, tz=None):
-        """
-        Sets up y-axis ticks and labels that treat the y data as dates.
+        Limits may be passed in reverse order to flip the direction of
+        the y-axis. For example, suppose ``y`` represents depth of the
+        ocean in m. The y-axis limits might be set like the following
+        so 5000 m depth is at the bottom of the plot and the surface,
+        0 m, is at the top.
 
-        *tz* is a timezone string or :class:`tzinfo` instance.
-        Defaults to rc value.
+        >>> set_ylim(5000, 0)
         """
-        self.yaxis.axis_date(tz)
+        if top is None and np.iterable(bottom):
+            bottom, top = bottom
+        if ymin is not None:
+            if bottom is not None:
+                raise TypeError("Cannot pass both 'bottom' and 'ymin'")
+            bottom = ymin
+        if ymax is not None:
+            if top is not None:
+                raise TypeError("Cannot pass both 'top' and 'ymax'")
+            top = ymax
+        return self.yaxis._set_lim(bottom, top, emit=emit, auto=auto)
+
+    get_yscale = _axis_method_wrapper("yaxis", "get_scale")
+    set_yscale = _axis_method_wrapper("yaxis", "_set_axes_scale")
+    get_yticks = _axis_method_wrapper("yaxis", "get_ticklocs")
+    set_yticks = _axis_method_wrapper("yaxis", "set_ticks",
+                                      doc_sub={'set_ticks': 'set_yticks'})
+    get_ymajorticklabels = _axis_method_wrapper("yaxis", "get_majorticklabels")
+    get_yminorticklabels = _axis_method_wrapper("yaxis", "get_minorticklabels")
+    get_yticklabels = _axis_method_wrapper("yaxis", "get_ticklabels")
+    set_yticklabels = _axis_method_wrapper(
+        "yaxis", "set_ticklabels",
+        doc_sub={"Axis.set_ticks": "Axes.set_yticks"})
+
+    xaxis_date = _axis_method_wrapper("xaxis", "axis_date")
+    yaxis_date = _axis_method_wrapper("yaxis", "axis_date")
 
     def format_xdata(self, x):
         """
-        Return *x* string formatted.  This function will use the attribute
-        self.fmt_xdata if it is callable, else will fall back on the xaxis
-        major formatter
+        Return *x* formatted as an x-value.
+
+        This function will use the `!fmt_xdata` attribute if it is not None,
+        else will fall back on the xaxis major formatter.
         """
-        try:
-            return self.fmt_xdata(x)
-        except TypeError:
-            func = self.xaxis.get_major_formatter().format_data_short
-            val = func(x)
-            return val
+        return (self.fmt_xdata if self.fmt_xdata is not None
+                else self.xaxis.get_major_formatter().format_data_short)(x)
 
     def format_ydata(self, y):
         """
-        Return y string formatted.  This function will use the
-        :attr:`fmt_ydata` attribute if it is callable, else will fall
-        back on the yaxis major formatter
+        Return *y* formatted as a y-value.
+
+        This function will use the `!fmt_ydata` attribute if it is not None,
+        else will fall back on the yaxis major formatter.
         """
-        try:
-            return self.fmt_ydata(y)
-        except TypeError:
-            func = self.yaxis.get_major_formatter().format_data_short
-            val = func(y)
-            return val
+        return (self.fmt_ydata if self.fmt_ydata is not None
+                else self.yaxis.get_major_formatter().format_data_short)(y)
 
     def format_coord(self, x, y):
-        """Return a format string formatting the *x*, *y* coord"""
-        if x is None:
-            xs = '???'
-        else:
-            xs = self.format_xdata(x)
-        if y is None:
-            ys = '???'
-        else:
-            ys = self.format_ydata(y)
-        return 'x=%s y=%s' % (xs, ys)
+        """Return a format string formatting the *x*, *y* coordinates."""
+        twins = self._twinned_axes.get_siblings(self)
+        if len(twins) == 1:
+            return "(x, y) = ({}, {})".format(
+                "???" if x is None else self.format_xdata(x),
+                "???" if y is None else self.format_ydata(y))
+        screen_xy = self.transData.transform((x, y))
+        xy_strs = []
+        # Retrieve twins in the order of self.figure.axes to sort tied zorders (which is
+        # the common case) by the order in which they are added to the figure.
+        for ax in sorted(twins, key=attrgetter("zorder")):
+            data_x, data_y = ax.transData.inverted().transform(screen_xy)
+            xy_strs.append(
+                "({}, {})".format(ax.format_xdata(data_x), ax.format_ydata(data_y)))
+        return "(x, y) = {}".format(" | ".join(xy_strs))
 
     def minorticks_on(self):
-        'Add autoscaling minor ticks to the axes.'
-        for ax in (self.xaxis, self.yaxis):
-            if ax.get_scale() == 'log':
-                s = ax._scale
-                ax.set_minor_locator(mticker.LogLocator(s.base, s.subs))
-            else:
-                ax.set_minor_locator(mticker.AutoMinorLocator())
+        """
+        Display minor ticks on the Axes.
+
+        Displaying minor ticks may reduce performance; you may turn them off
+        using `minorticks_off()` if drawing speed is a problem.
+        """
+        self.xaxis.minorticks_on()
+        self.yaxis.minorticks_on()
 
     def minorticks_off(self):
-        """Remove minor ticks from the axes."""
-        self.xaxis.set_minor_locator(mticker.NullLocator())
-        self.yaxis.set_minor_locator(mticker.NullLocator())
+        """Remove minor ticks from the Axes."""
+        self.xaxis.minorticks_off()
+        self.yaxis.minorticks_off()
 
-    #### Interactive manipulation
+    # Interactive manipulation
 
     def can_zoom(self):
         """
-        Return *True* if this axes supports the zoom box button functionality.
+        Return whether this Axes supports the zoom box button functionality.
         """
         return True
 
     def can_pan(self):
         """
-        Return *True* if this axes supports any pan/zoom button functionality.
+        Return whether this Axes supports any pan/zoom button functionality.
         """
         return True
 
     def get_navigate(self):
         """
-        Get whether the axes responds to navigation commands
+        Get whether the Axes responds to navigation commands.
         """
         return self._navigate
 
     def set_navigate(self, b):
         """
-        Set whether the axes responds to navigation toolbar commands
+        Set whether the Axes responds to navigation toolbar commands.
+
+        Parameters
+        ----------
+        b : bool
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_forward_navigation_events
 
-        ACCEPTS: [ *True* | *False* ]
         """
         self._navigate = b
 
     def get_navigate_mode(self):
         """
-        Get the navigation toolbar button status: 'PAN', 'ZOOM', or None
+        Get the navigation toolbar button status: 'PAN', 'ZOOM', or None.
         """
         return self._navigate_mode
 
     def set_navigate_mode(self, b):
         """
-        Set the navigation toolbar button status;
+        Set the navigation toolbar button status.
 
         .. warning::
-            this is not a user-API function.
+            This is not a user-API function.
 
         """
         self._navigate_mode = b
 
-    def start_pan(self, x, y, button):
+    def _get_view(self):
         """
-        Called when a pan operation has started.
+        Save information required to reproduce the current view.
+
+        This method is called before a view is changed, such as during a pan or zoom
+        initiated by the user.  It returns an opaque object that describes the current
+        view, in a format compatible with :meth:`_set_view`.
+
+        The default implementation saves the view limits and autoscaling state.
+        Subclasses may override this as needed, as long as :meth:`_set_view` is also
+        adjusted accordingly.
+        """
+        return {
+            "xlim": self.get_xlim(), "autoscalex_on": self.get_autoscalex_on(),
+            "ylim": self.get_ylim(), "autoscaley_on": self.get_autoscaley_on(),
+        }
+
+    def _set_view(self, view):
+        """
+        Apply a previously saved view.
+
+        This method is called when restoring a view (with the return value of
+        :meth:`_get_view` as argument), such as with the navigation buttons.
+
+        Subclasses that override :meth:`_get_view` also need to override this method
+        accordingly.
+        """
+        self.set(**view)
+
+    def _prepare_view_from_bbox(self, bbox, direction='in',
+                                mode=None, twinx=False, twiny=False):
+        """
+        Helper function to prepare the new bounds from a bbox.
 
-        *x*, *y* are the mouse coordinates in display coords.
-        button is the mouse button number:
+        This helper function returns the new x and y bounds from the zoom
+        bbox. This a convenience method to abstract the bbox logic
+        out of the base setter.
+        """
+        if len(bbox) == 3:
+            xp, yp, scl = bbox  # Zooming code
+            if scl == 0:  # Should not happen
+                scl = 1.
+            if scl > 1:
+                direction = 'in'
+            else:
+                direction = 'out'
+                scl = 1/scl
+            # get the limits of the axes
+            (xmin, ymin), (xmax, ymax) = self.transData.transform(
+                np.transpose([self.get_xlim(), self.get_ylim()]))
+            # set the range
+            xwidth = xmax - xmin
+            ywidth = ymax - ymin
+            xcen = (xmax + xmin)*.5
+            ycen = (ymax + ymin)*.5
+            xzc = (xp*(scl - 1) + xcen)/scl
+            yzc = (yp*(scl - 1) + ycen)/scl
+            bbox = [xzc - xwidth/2./scl, yzc - ywidth/2./scl,
+                    xzc + xwidth/2./scl, yzc + ywidth/2./scl]
+        elif len(bbox) != 4:
+            # should be len 3 or 4 but nothing else
+            _api.warn_external(
+                "Warning in _set_view_from_bbox: bounding box is not a tuple "
+                "of length 3 or 4. Ignoring the view change.")
+            return
 
-        * 1: LEFT
-        * 2: MIDDLE
-        * 3: RIGHT
+        # Original limits.
+        xmin0, xmax0 = self.get_xbound()
+        ymin0, ymax0 = self.get_ybound()
+        # The zoom box in screen coords.
+        startx, starty, stopx, stopy = bbox
+        # Convert to data coords.
+        (startx, starty), (stopx, stopy) = self.transData.inverted().transform(
+            [(startx, starty), (stopx, stopy)])
+        # Clip to axes limits.
+        xmin, xmax = np.clip(sorted([startx, stopx]), xmin0, xmax0)
+        ymin, ymax = np.clip(sorted([starty, stopy]), ymin0, ymax0)
+        # Don't double-zoom twinned axes or if zooming only the other axis.
+        if twinx or mode == "y":
+            xmin, xmax = xmin0, xmax0
+        if twiny or mode == "x":
+            ymin, ymax = ymin0, ymax0
+
+        if direction == "in":
+            new_xbound = xmin, xmax
+            new_ybound = ymin, ymax
+
+        elif direction == "out":
+            x_trf = self.xaxis.get_transform()
+            sxmin0, sxmax0, sxmin, sxmax = x_trf.transform(
+                [xmin0, xmax0, xmin, xmax])  # To screen space.
+            factor = (sxmax0 - sxmin0) / (sxmax - sxmin)  # Unzoom factor.
+            # Move original bounds away by
+            # (factor) x (distance between unzoom box and Axes bbox).
+            sxmin1 = sxmin0 - factor * (sxmin - sxmin0)
+            sxmax1 = sxmax0 + factor * (sxmax0 - sxmax)
+            # And back to data space.
+            new_xbound = x_trf.inverted().transform([sxmin1, sxmax1])
+
+            y_trf = self.yaxis.get_transform()
+            symin0, symax0, symin, symax = y_trf.transform(
+                [ymin0, ymax0, ymin, ymax])
+            factor = (symax0 - symin0) / (symax - symin)
+            symin1 = symin0 - factor * (symin - symin0)
+            symax1 = symax0 + factor * (symax0 - symax)
+            new_ybound = y_trf.inverted().transform([symin1, symax1])
+
+        return new_xbound, new_ybound
+
+    def _set_view_from_bbox(self, bbox, direction='in',
+                            mode=None, twinx=False, twiny=False):
+        """
+        Update view from a selection bbox.
 
         .. note::
 
-            Intended to be overridden by new projection types.
+            Intended to be overridden by new projection types, but if not, the
+            default implementation sets the view limits to the bbox directly.
+
+        Parameters
+        ----------
+        bbox : 4-tuple or 3 tuple
+            * If bbox is a 4 tuple, it is the selected bounding box limits,
+              in *display* coordinates.
+            * If bbox is a 3 tuple, it is an (xp, yp, scl) triple, where
+              (xp, yp) is the center of zooming and scl the scale factor to
+              zoom by.
+
+        direction : str
+            The direction to apply the bounding box.
+                * `'in'` - The bounding box describes the view directly, i.e.,
+                           it zooms in.
+                * `'out'` - The bounding box describes the size to make the
+                            existing view, i.e., it zooms out.
+
+        mode : str or None
+            The selection mode, whether to apply the bounding box in only the
+            `'x'` direction, `'y'` direction or both (`None`).
+
+        twinx : bool
+            Whether this axis is twinned in the *x*-direction.
+
+        twiny : bool
+            Whether this axis is twinned in the *y*-direction.
+        """
+        new_xbound, new_ybound = self._prepare_view_from_bbox(
+            bbox, direction=direction, mode=mode, twinx=twinx, twiny=twiny)
+        if not twinx and mode != "y":
+            self.set_xbound(new_xbound)
+            self.set_autoscalex_on(False)
+        if not twiny and mode != "x":
+            self.set_ybound(new_ybound)
+            self.set_autoscaley_on(False)
 
+    def start_pan(self, x, y, button):
         """
-        self._pan_start = cbook.Bunch(
+        Called when a pan operation has started.
+
+        Parameters
+        ----------
+        x, y : float
+            The mouse coordinates in display coords.
+        button : `.MouseButton`
+            The pressed mouse button.
+
+        Notes
+        -----
+        This is intended to be overridden by new projection types.
+        """
+        self._pan_start = types.SimpleNamespace(
             lim=self.viewLim.frozen(),
             trans=self.transData.frozen(),
             trans_inverse=self.transData.inverted().frozen(),
@@ -3056,34 +4368,21 @@ def start_pan(self, x, y, button):
 
     def end_pan(self):
         """
-        Called when a pan operation completes (when the mouse button
-        is up.)
-
-        .. note::
-
-            Intended to be overridden by new projection types.
+        Called when a pan operation completes (when the mouse button is up.)
 
+        Notes
+        -----
+        This is intended to be overridden by new projection types.
         """
         del self._pan_start
 
-    def drag_pan(self, button, key, x, y):
+    def _get_pan_points(self, button, key, x, y):
         """
-        Called when the mouse moves during a pan operation.
-
-        *button* is the mouse button number:
-
-        * 1: LEFT
-        * 2: MIDDLE
-        * 3: RIGHT
-
-        *key* is a "shift" key
-
-        *x*, *y* are the mouse coordinates in display coords.
-
-        .. note::
-
-            Intended to be overridden by new projection types.
+        Helper function to return the new points after a pan.
 
+        This helper function returns the points on the axis after a pan has
+        occurred. This is a convenience method to abstract the pan logic
+        out of the base setter.
         """
         def format_deltas(key, dx, dy):
             if key == 'control':
@@ -3104,229 +4403,490 @@ def format_deltas(key, dx, dy):
                     dy = dy / abs(dy) * abs(dx)
                 else:
                     dx = dx / abs(dx) * abs(dy)
-            return (dx, dy)
+            return dx, dy
 
         p = self._pan_start
         dx = x - p.x
         dy = y - p.y
-        if dx == 0 and dy == 0:
+        if dx == dy == 0:
             return
         if button == 1:
             dx, dy = format_deltas(key, dx, dy)
-            result = p.bbox.translated(-dx, -dy) \
-                .transformed(p.trans_inverse)
+            result = p.bbox.translated(-dx, -dy).transformed(p.trans_inverse)
         elif button == 3:
             try:
-                dx = -dx / float(self.bbox.width)
-                dy = -dy / float(self.bbox.height)
+                dx = -dx / self.bbox.width
+                dy = -dy / self.bbox.height
                 dx, dy = format_deltas(key, dx, dy)
                 if self.get_aspect() != 'auto':
-                    dx = 0.5 * (dx + dy)
-                    dy = dx
-
+                    dx = dy = 0.5 * (dx + dy)
                 alpha = np.power(10.0, (dx, dy))
                 start = np.array([p.x, p.y])
                 oldpoints = p.lim.transformed(p.trans)
                 newpoints = start + alpha * (oldpoints - start)
-                result = mtransforms.Bbox(newpoints) \
-                    .transformed(p.trans_inverse)
+                result = (mtransforms.Bbox(newpoints)
+                          .transformed(p.trans_inverse))
             except OverflowError:
-                warnings.warn('Overflow while panning')
+                _api.warn_external('Overflow while panning')
                 return
+        else:
+            return
 
-        self.set_xlim(*result.intervalx)
-        self.set_ylim(*result.intervaly)
-
-    def get_cursor_props(self):
-        """
-        Return the cursor propertiess as a (*linewidth*, *color*)
-        tuple, where *linewidth* is a float and *color* is an RGBA
-        tuple
-        """
-        return self._cursorProps
+        valid = np.isfinite(result.transformed(p.trans))
+        points = result.get_points().astype(object)
+        # Just ignore invalid limits (typically, underflow in log-scale).
+        points[~valid] = None
+        return points
 
-    def set_cursor_props(self, *args):
+    def drag_pan(self, button, key, x, y):
         """
-        Set the cursor property as::
-
-          ax.set_cursor_props(linewidth, color)
-
-        or::
-
-          ax.set_cursor_props((linewidth, color))
+        Called when the mouse moves during a pan operation.
 
-        ACCEPTS: a (*float*, *color*) tuple
-        """
-        if len(args) == 1:
-            lw, c = args[0]
-        elif len(args) == 2:
-            lw, c = args
-        else:
-            raise ValueError('args must be a (linewidth, color) tuple')
-        c = mcolors.colorConverter.to_rgba(c)
-        self._cursorProps = lw, c
+        Parameters
+        ----------
+        button : `.MouseButton`
+            The pressed mouse button.
+        key : str or None
+            The pressed key, if any.
+        x, y : float
+            The mouse coordinates in display coords.
+
+        Notes
+        -----
+        This is intended to be overridden by new projection types.
+        """
+        points = self._get_pan_points(button, key, x, y)
+        if points is not None:
+            self.set_xlim(points[:, 0])
+            self.set_ylim(points[:, 1])
 
     def get_children(self):
-        """return a list of child artists"""
-        children = []
-        children.append(self.xaxis)
-        children.append(self.yaxis)
-        children.extend(self.lines)
-        children.extend(self.patches)
-        children.extend(self.texts)
-        children.extend(self.tables)
-        children.extend(self.artists)
-        children.extend(self.images)
-        if self.legend_ is not None:
-            children.append(self.legend_)
-        children.extend(self.collections)
-        children.append(self.title)
-        children.append(self._left_title)
-        children.append(self._right_title)
-        children.append(self.patch)
-        children.extend(six.itervalues(self.spines))
-        return children
+        # docstring inherited.
+        return [
+            *self._children,
+            *self.spines.values(),
+            *self._axis_map.values(),
+            self.title, self._left_title, self._right_title,
+            *self.child_axes,
+            *([self.legend_] if self.legend_ is not None else []),
+            self.patch,
+        ]
 
     def contains(self, mouseevent):
-        """
-        Test whether the mouse event occured in the axes.
-
-        Returns *True* / *False*, {}
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-
+        # docstring inherited.
         return self.patch.contains(mouseevent)
 
     def contains_point(self, point):
         """
-        Returns *True* if the point (tuple of x,y) is inside the axes
-        (the area defined by the its patch). A pixel coordinate is
-        required.
-
+        Return whether *point* (pair of pixel coordinates) is inside the Axes
+        patch.
         """
         return self.patch.contains_point(point, radius=1.0)
 
-    def pick(self, *args):
+    def get_default_bbox_extra_artists(self):
         """
-        Call signature::
-
-            pick(mouseevent)
+        Return a default list of artists that are used for the bounding box
+        calculation.
 
-        each child artist will fire a pick event if mouseevent is over
-        the artist and the artist has picker set
+        Artists are excluded either by not being visible or
+        ``artist.set_in_layout(False)``.
         """
-        martist.Artist.pick(self, args[0])
 
-    def get_default_bbox_extra_artists(self):
-        return [artist for artist in self.get_children()
-                if artist.get_visible()]
+        artists = self.get_children()
+
+        for axis in self._axis_map.values():
+            # axis tight bboxes are calculated separately inside
+            # Axes.get_tightbbox() using for_layout_only=True
+            artists.remove(axis)
+        if not (self.axison and self._frameon):
+            # don't do bbox on spines if frame not on.
+            for spine in self.spines.values():
+                artists.remove(spine)
+
+        artists.remove(self.title)
+        artists.remove(self._left_title)
+        artists.remove(self._right_title)
+
+        # always include types that do not internally implement clipping
+        # to Axes. may have clip_on set to True and clip_box equivalent
+        # to ax.bbox but then ignore these properties during draws.
+        noclip = (_AxesBase, maxis.Axis,
+                  offsetbox.AnnotationBbox, offsetbox.OffsetBox)
+        return [a for a in artists if a.get_visible() and a.get_in_layout()
+                and (isinstance(a, noclip) or not a._fully_clipped_to_axes())]
 
-    def get_tightbbox(self, renderer, call_axes_locator=True):
+    def get_tightbbox(self, renderer=None, *, call_axes_locator=True,
+                      bbox_extra_artists=None, for_layout_only=False):
         """
-        Return the tight bounding box of the axes.
-        The dimension of the Bbox in canvas coordinate.
+        Return the tight bounding box of the Axes, including axis and their
+        decorators (xlabel, title, etc).
 
-        If *call_axes_locator* is *False*, it does not call the
-        _axes_locator attribute, which is necessary to get the correct
-        bounding box. ``call_axes_locator==False`` can be used if the
-        caller is only intereted in the relative size of the tightbbox
-        compared to the axes bbox.
+        Artists that have ``artist.set_in_layout(False)`` are not included
+        in the bbox.
+
+        Parameters
+        ----------
+        renderer : `.RendererBase` subclass
+            renderer that will be used to draw the figures (i.e.
+            ``fig.canvas.get_renderer()``)
+
+        bbox_extra_artists : list of `.Artist` or ``None``
+            List of artists to include in the tight bounding box.  If
+            ``None`` (default), then all artist children of the Axes are
+            included in the tight bounding box.
+
+        call_axes_locator : bool, default: True
+            If *call_axes_locator* is ``False``, it does not call the
+            ``_axes_locator`` attribute, which is necessary to get the correct
+            bounding box. ``call_axes_locator=False`` can be used if the
+            caller is only interested in the relative size of the tightbbox
+            compared to the Axes bbox.
+
+        for_layout_only : default: False
+            The bounding box will *not* include the x-extent of the title and
+            the xlabel, or the y-extent of the ylabel.
+
+        Returns
+        -------
+        `.BboxBase`
+            Bounding box in figure pixel coordinates.
+
+        See Also
+        --------
+        matplotlib.axes.Axes.get_window_extent
+        matplotlib.axis.Axis.get_tightbbox
+        matplotlib.spines.Spine.get_window_extent
         """
 
         bb = []
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
 
         if not self.get_visible():
             return None
 
         locator = self.get_axes_locator()
-        if locator and call_axes_locator:
-            pos = locator(self, renderer)
-            self.apply_aspect(pos)
+        self.apply_aspect(
+            locator(self, renderer) if locator and call_axes_locator else None)
+
+        for axis in self._axis_map.values():
+            if self.axison and axis.get_visible():
+                ba = martist._get_tightbbox_for_layout_only(axis, renderer)
+                if ba:
+                    bb.append(ba)
+        self._update_title_position(renderer)
+        axbbox = self.get_window_extent(renderer)
+        bb.append(axbbox)
+
+        for title in [self.title, self._left_title, self._right_title]:
+            if title.get_visible():
+                bt = title.get_window_extent(renderer)
+                if for_layout_only and bt.width > 0:
+                    # make the title bbox 1 pixel wide so its width
+                    # is not accounted for in bbox calculations in
+                    # tight/constrained_layout
+                    bt.x0 = (bt.x0 + bt.x1) / 2 - 0.5
+                    bt.x1 = bt.x0 + 1.0
+                bb.append(bt)
+
+        bbox_artists = bbox_extra_artists
+        if bbox_artists is None:
+            bbox_artists = self.get_default_bbox_extra_artists()
+
+        for a in bbox_artists:
+            bbox = a.get_tightbbox(renderer)
+            if (bbox is not None
+                    and 0 < bbox.width < np.inf
+                    and 0 < bbox.height < np.inf):
+                bb.append(bbox)
+        return mtransforms.Bbox.union(
+            [b for b in bb if b.width != 0 or b.height != 0])
+
+    def _make_twin_axes(self, *args, **kwargs):
+        """Make a twinx Axes of self. This is used for twinx and twiny."""
+        if 'sharex' in kwargs and 'sharey' in kwargs:
+            # The following line is added in v2.2 to avoid breaking Seaborn,
+            # which currently uses this internal API.
+            if kwargs["sharex"] is not self and kwargs["sharey"] is not self:
+                raise ValueError("Twinned Axes may share only one axis")
+        ss = self.get_subplotspec()
+        if ss:
+            twin = self.get_figure(root=False).add_subplot(ss, *args, **kwargs)
         else:
-            self.apply_aspect()
+            twin = self.get_figure(root=False).add_axes(
+                self.get_position(True), *args, **kwargs,
+                axes_locator=_TransformedBoundsLocator(
+                    [0, 0, 1, 1], self.transAxes))
+        self.set_adjustable('datalim')
+        twin.set_adjustable('datalim')
+        twin.set_zorder(self.zorder)
 
-        bb.append(self.get_window_extent(renderer))
+        self._twinned_axes.join(self, twin)
+        return twin
 
-        if self.title.get_visible():
-            bb.append(self.title.get_window_extent(renderer))
-        if self._left_title.get_visible():
-            bb.append(self._left_title.get_window_extent(renderer))
-        if self._right_title.get_visible():
-            bb.append(self._right_title.get_window_extent(renderer))
+    def twinx(self, axes_class=None, **kwargs):
+        """
+        Create a twin Axes sharing the xaxis.
 
-        bb_xaxis = self.xaxis.get_tightbbox(renderer)
-        if bb_xaxis:
-            bb.append(bb_xaxis)
+        Create a new Axes with an invisible x-axis and an independent
+        y-axis positioned opposite to the original one (i.e. at right). The
+        x-axis autoscale setting will be inherited from the original
+        Axes.  To ensure that the tick marks of both y-axes align, see
+        `~matplotlib.ticker.LinearLocator`.
 
-        bb_yaxis = self.yaxis.get_tightbbox(renderer)
-        if bb_yaxis:
-            bb.append(bb_yaxis)
+        Parameters
+        ----------
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The `.axes.Axes` subclass that is instantiated.  This parameter
+            is incompatible with *projection* and *polar*.  See
+            :ref:`axisartist_users-guide-index` for examples.
 
-        _bbox = mtransforms.Bbox.union(
-            [b for b in bb if b.width != 0 or b.height != 0])
+            By default, `~.axes.Axes` is used.
 
-        return _bbox
+            .. versionadded:: 3.11
 
-    def _make_twin_axes(self, *kl, **kwargs):
-        """
-        make a twinx axes of self. This is used for twinx and twiny.
-        """
-        ax2 = self.figure.add_axes(self.get_position(True), *kl, **kwargs)
-        return ax2
+        kwargs : dict
+            The keyword arguments passed to `.Figure.add_subplot` or `.Figure.add_axes`.
 
-    def twinx(self):
-        """
-        Call signature::
+            .. versionadded:: 3.11
 
-          ax = twinx()
-
-        create a twin of Axes for generating a plot with a sharex
-        x-axis but independent y axis.  The y-axis of self will have
-        ticks on left and the returned axes will have ticks on the
-        right.
+        Returns
+        -------
+        Axes
+            The newly created Axes instance
 
-        .. note::
-            For those who are 'picking' artists while using twinx, pick
-            events are only called for the artists in the top-most axes.
+        Notes
+        -----
+        For those who are 'picking' artists while using twinx, pick
+        events are only called for the artists in the top-most Axes.
         """
-        ax2 = self._make_twin_axes(sharex=self)
+        if axes_class:
+            kwargs["axes_class"] = axes_class
+        ax2 = self._make_twin_axes(sharex=self, **kwargs)
         ax2.yaxis.tick_right()
         ax2.yaxis.set_label_position('right')
         ax2.yaxis.set_offset_position('right')
+        ax2.set_autoscalex_on(self.get_autoscalex_on())
         self.yaxis.tick_left()
         ax2.xaxis.set_visible(False)
         ax2.patch.set_visible(False)
+        ax2.xaxis.units = self.xaxis.units
         return ax2
 
-    def twiny(self):
+    def twiny(self, axes_class=None, **kwargs):
         """
-        Call signature::
+        Create a twin Axes sharing the yaxis.
 
-          ax = twiny()
+        Create a new Axes with an invisible y-axis and an independent
+        x-axis positioned opposite to the original one (i.e. at top). The
+        y-axis autoscale setting will be inherited from the original Axes.
+        To ensure that the tick marks of both x-axes align, see
+        `~matplotlib.ticker.LinearLocator`.
 
-        create a twin of Axes for generating a plot with a shared
-        y-axis but independent x axis.  The x-axis of self will have
-        ticks on bottom and the returned axes will have ticks on the
-        top.
+        Parameters
+        ----------
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The `.axes.Axes` subclass that is instantiated.  This parameter
+            is incompatible with *projection* and *polar*.  See
+            :ref:`axisartist_users-guide-index` for examples.
 
-        .. note::
-            For those who are 'picking' artists while using twiny, pick
-            events are only called for the artists in the top-most axes.
-        """
+            By default, `~.axes.Axes` is used.
+
+            .. versionadded:: 3.11
+
+        kwargs : dict
+            The keyword arguments passed to `.Figure.add_subplot` or `.Figure.add_axes`.
+
+            .. versionadded:: 3.11
 
-        ax2 = self._make_twin_axes(sharey=self)
+        Returns
+        -------
+        Axes
+            The newly created Axes instance
+
+        Notes
+        -----
+        For those who are 'picking' artists while using twiny, pick
+        events are only called for the artists in the top-most Axes.
+        """
+        if axes_class:
+            kwargs["axes_class"] = axes_class
+        ax2 = self._make_twin_axes(sharey=self, **kwargs)
         ax2.xaxis.tick_top()
         ax2.xaxis.set_label_position('top')
+        ax2.set_autoscaley_on(self.get_autoscaley_on())
         self.xaxis.tick_bottom()
         ax2.yaxis.set_visible(False)
         ax2.patch.set_visible(False)
+        ax2.yaxis.units = self.yaxis.units
         return ax2
 
     def get_shared_x_axes(self):
-        'Return a copy of the shared axes Grouper object for x axes'
-        return self._shared_x_axes
+        """Return an immutable view on the shared x-axes Grouper."""
+        return cbook.GrouperView(self._shared_axes["x"])
 
     def get_shared_y_axes(self):
-        'Return a copy of the shared axes Grouper object for y axes'
-        return self._shared_y_axes
+        """Return an immutable view on the shared y-axes Grouper."""
+        return cbook.GrouperView(self._shared_axes["y"])
+
+    def label_outer(self, remove_inner_ticks=False):
+        """
+        Only show "outer" labels and tick labels.
+
+        x-labels are only kept for subplots on the last row (or first row, if
+        labels are on the top side); y-labels only for subplots on the first
+        column (or last column, if labels are on the right side).
+
+        Parameters
+        ----------
+        remove_inner_ticks : bool, default: False
+            If True, remove the inner ticks as well (not only tick labels).
+
+            .. versionadded:: 3.8
+        """
+        self._label_outer_xaxis(skip_non_rectangular_axes=False,
+                                remove_inner_ticks=remove_inner_ticks)
+        self._label_outer_yaxis(skip_non_rectangular_axes=False,
+                                remove_inner_ticks=remove_inner_ticks)
+
+    def _label_outer_xaxis(self, *, skip_non_rectangular_axes,
+                           remove_inner_ticks=False):
+        # see documentation in label_outer.
+        if skip_non_rectangular_axes and not isinstance(self.patch,
+                                                        mpl.patches.Rectangle):
+            return
+        ss = self.get_subplotspec()
+        if not ss:
+            return
+        label_position = self.xaxis.get_label_position()
+        if not ss.is_first_row():  # Remove top label/ticklabels/offsettext.
+            if label_position == "top":
+                self.set_xlabel("")
+            top_kw = {'top': False} if remove_inner_ticks else {}
+            self.xaxis.set_tick_params(
+                which="both", labeltop=False, **top_kw)
+            if self.xaxis.offsetText.get_position()[1] == 1:
+                self.xaxis.offsetText.set_visible(False)
+        if not ss.is_last_row():  # Remove bottom label/ticklabels/offsettext.
+            if label_position == "bottom":
+                self.set_xlabel("")
+            bottom_kw = {'bottom': False} if remove_inner_ticks else {}
+            self.xaxis.set_tick_params(
+                which="both", labelbottom=False, **bottom_kw)
+            if self.xaxis.offsetText.get_position()[1] == 0:
+                self.xaxis.offsetText.set_visible(False)
+
+    def _label_outer_yaxis(self, *, skip_non_rectangular_axes,
+                           remove_inner_ticks=False):
+        # see documentation in label_outer.
+        if skip_non_rectangular_axes and not isinstance(self.patch,
+                                                        mpl.patches.Rectangle):
+            return
+        ss = self.get_subplotspec()
+        if not ss:
+            return
+        label_position = self.yaxis.get_label_position()
+        if not ss.is_first_col():  # Remove left label/ticklabels/offsettext.
+            if label_position == "left":
+                self.set_ylabel("")
+            left_kw = {'left': False} if remove_inner_ticks else {}
+            self.yaxis.set_tick_params(
+                which="both", labelleft=False, **left_kw)
+            if self.yaxis.offsetText.get_position()[0] == 0:
+                self.yaxis.offsetText.set_visible(False)
+        if not ss.is_last_col():  # Remove right label/ticklabels/offsettext.
+            if label_position == "right":
+                self.set_ylabel("")
+            right_kw = {'right': False} if remove_inner_ticks else {}
+            self.yaxis.set_tick_params(
+                which="both", labelright=False, **right_kw)
+            if self.yaxis.offsetText.get_position()[0] == 1:
+                self.yaxis.offsetText.set_visible(False)
+
+    def set_forward_navigation_events(self, forward):
+        """
+        Set how pan/zoom events are forwarded to Axes below this one.
+
+        Parameters
+        ----------
+        forward : bool or "auto"
+            Possible values:
+
+            - True: Forward events to other axes with lower or equal zorder.
+            - False: Events are only executed on this axes.
+            - "auto": Default behaviour (*True* for axes with an invisible
+              patch and *False* otherwise)
+
+        See Also
+        --------
+        matplotlib.axes.Axes.set_navigate
+
+        """
+        self._forward_navigation_events = forward
+
+    def get_forward_navigation_events(self):
+        """Get how pan/zoom events are forwarded to Axes below this one."""
+        return self._forward_navigation_events
+
+
+def _draw_rasterized(figure, artists, renderer):
+    """
+    A helper function for rasterizing the list of artists.
+
+    The bookkeeping to track if we are or are not in rasterizing mode
+    with the mixed-mode backends is relatively complicated and is now
+    handled in the matplotlib.artist.allow_rasterization decorator.
+
+    This helper defines the absolute minimum methods and attributes on a
+    shim class to be compatible with that decorator and then uses it to
+    rasterize the list of artists.
+
+    This is maybe too-clever, but allows us to reuse the same code that is
+    used on normal artists to participate in the "are we rasterizing"
+    accounting.
+
+    Please do not use this outside of the "rasterize below a given zorder"
+    functionality of Axes.
+
+    Parameters
+    ----------
+    figure : matplotlib.figure.Figure
+        The figure all of the artists belong to (not checked).  We need this
+        because we can at the figure level suppress composition and insert each
+        rasterized artist as its own image.
+
+    artists : List[matplotlib.artist.Artist]
+        The list of Artists to be rasterized.  These are assumed to all
+        be in the same Figure.
+
+    renderer : matplotlib.backendbases.RendererBase
+        The currently active renderer
+
+    Returns
+    -------
+    None
+
+    """
+    class _MinimalArtist:
+        def get_rasterized(self):
+            return True
+
+        def get_agg_filter(self):
+            return None
+
+        def __init__(self, figure, artists):
+            self.figure = figure
+            self.artists = artists
+
+        def get_figure(self, root=False):
+            if root:
+                return self.figure.get_figure(root=True)
+            else:
+                return self.figure
+
+        @martist.allow_rasterization
+        def draw(self, renderer):
+            for a in self.artists:
+                a.draw(renderer)
+
+    return _MinimalArtist(figure, artists).draw(renderer)
diff --git a/lib/matplotlib/axes/_base.pyi b/lib/matplotlib/axes/_base.pyi
new file mode 100644
index 000000000000..4933d0d1e236
--- /dev/null
+++ b/lib/matplotlib/axes/_base.pyi
@@ -0,0 +1,464 @@
+import matplotlib.artist as martist
+
+import datetime
+from collections.abc import Callable, Iterable, Iterator, Sequence
+from matplotlib import cbook
+from matplotlib.artist import Artist
+from matplotlib.axes import Axes
+from matplotlib.axis import Axis, XAxis, YAxis, Tick
+from matplotlib.backend_bases import RendererBase, MouseButton, MouseEvent
+from matplotlib.cbook import CallbackRegistry
+from matplotlib.container import Container
+from matplotlib.collections import Collection
+from matplotlib.colorizer import ColorizingArtist
+from matplotlib.legend import Legend
+from matplotlib.lines import Line2D
+from matplotlib.gridspec import SubplotSpec, GridSpec
+from matplotlib.figure import Figure, SubFigure
+from matplotlib.image import AxesImage
+from matplotlib.patches import Patch
+from matplotlib.scale import ScaleBase
+from matplotlib.spines import Spines
+from matplotlib.table import Table
+from matplotlib.text import Text
+from matplotlib.transforms import Transform, Bbox
+
+from cycler import Cycler
+
+import numpy as np
+from numpy.typing import ArrayLike
+from typing import Any, Literal, TypeVar, overload
+from matplotlib.typing import ColorType
+
+_T = TypeVar("_T", bound=Artist)
+
+class _axis_method_wrapper:
+    attr_name: str
+    method_name: str
+    __doc__: str
+    def __init__(
+        self, attr_name: str, method_name: str, *, doc_sub: dict[str, str] | None = ...
+    ) -> None: ...
+    def __set_name__(self, owner: Any, name: str) -> None: ...
+
+class _AxesBase(martist.Artist):
+    name: str
+    patch: Patch
+    spines: Spines
+    fmt_xdata: Callable[[float], str] | None
+    fmt_ydata: Callable[[float], str] | None
+    xaxis: XAxis
+    yaxis: YAxis
+    bbox: Bbox
+    dataLim: Bbox
+    transAxes: Transform
+    transScale: Transform
+    transLimits: Transform
+    transData: Transform
+    ignore_existing_data_limits: bool
+    axison: bool
+    containers: list[Container]
+    callbacks: CallbackRegistry
+    child_axes: list[_AxesBase]
+    legend_: Legend | None
+    title: Text
+    _axis_map: dict[str, Axis]
+    _projection_init: Any
+
+    def __init__(
+        self,
+        fig: Figure,
+        *args: tuple[float, float, float, float] | Bbox | int,
+        facecolor: ColorType | None = ...,
+        frameon: bool = ...,
+        sharex: _AxesBase | None = ...,
+        sharey: _AxesBase | None = ...,
+        label: Any = ...,
+        xscale: str | ScaleBase | None = ...,
+        yscale: str | ScaleBase | None = ...,
+        box_aspect: float | None = ...,
+        forward_navigation_events: bool | Literal["auto"] = ...,
+        **kwargs
+    ) -> None: ...
+    def get_subplotspec(self) -> SubplotSpec | None: ...
+    def set_subplotspec(self, subplotspec: SubplotSpec) -> None: ...
+    def get_gridspec(self) -> GridSpec | None: ...
+    def set_figure(self, fig: Figure | SubFigure) -> None: ...
+    @property
+    def viewLim(self) -> Bbox: ...
+    def get_xaxis_transform(
+        self, which: Literal["grid", "tick1", "tick2"] = ...
+    ) -> Transform: ...
+    def get_xaxis_text1_transform(
+        self, pad_points: float
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_xaxis_text2_transform(
+        self, pad_points
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_transform(
+        self, which: Literal["grid", "tick1", "tick2"] = ...
+    ) -> Transform: ...
+    def get_yaxis_text1_transform(
+        self, pad_points
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_text2_transform(
+        self, pad_points
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_position(self, original: bool = ...) -> Bbox: ...
+    def set_position(
+        self,
+        pos: Bbox | tuple[float, float, float, float],
+        which: Literal["both", "active", "original"] = ...,
+    ) -> None: ...
+    def reset_position(self) -> None: ...
+    def set_axes_locator(
+        self, locator: Callable[[_AxesBase, RendererBase], Bbox]
+    ) -> None: ...
+    def get_axes_locator(self) -> Callable[[_AxesBase, RendererBase], Bbox]: ...
+    def sharex(self, other: _AxesBase) -> None: ...
+    def sharey(self, other: _AxesBase) -> None: ...
+    def clear(self) -> None: ...
+    def cla(self) -> None: ...
+
+    class ArtistList(Sequence[_T]):
+        def __init__(
+            self,
+            axes: _AxesBase,
+            prop_name: str,
+            valid_types: type | Iterable[type] | None = ...,
+            invalid_types: type | Iterable[type] | None = ...,
+        ) -> None: ...
+        def __len__(self) -> int: ...
+        def __iter__(self) -> Iterator[_T]: ...
+        @overload
+        def __getitem__(self, key: int) -> _T: ...
+        @overload
+        def __getitem__(self, key: slice) -> list[_T]: ...
+
+        @overload
+        def __add__(self, other: _AxesBase.ArtistList[_T]) -> list[_T]: ...
+        @overload
+        def __add__(self, other: list[Any]) -> list[Any]: ...
+        @overload
+        def __add__(self, other: tuple[Any]) -> tuple[Any]: ...
+
+        @overload
+        def __radd__(self, other: _AxesBase.ArtistList[_T]) -> list[_T]: ...
+        @overload
+        def __radd__(self, other: list[Any]) -> list[Any]: ...
+        @overload
+        def __radd__(self, other: tuple[Any]) -> tuple[Any]: ...
+
+    @property
+    def artists(self) -> _AxesBase.ArtistList[Artist]: ...
+    @property
+    def collections(self) -> _AxesBase.ArtistList[Collection]: ...
+    @property
+    def images(self) -> _AxesBase.ArtistList[AxesImage]: ...
+    @property
+    def lines(self) -> _AxesBase.ArtistList[Line2D]: ...
+    @property
+    def patches(self) -> _AxesBase.ArtistList[Patch]: ...
+    @property
+    def tables(self) -> _AxesBase.ArtistList[Table]: ...
+    @property
+    def texts(self) -> _AxesBase.ArtistList[Text]: ...
+    def get_facecolor(self) -> ColorType: ...
+    def set_facecolor(self, color: ColorType | None) -> None: ...
+    @overload
+    def set_prop_cycle(self, cycler: Cycler | None) -> None: ...
+    @overload
+    def set_prop_cycle(self, label: str, values: Iterable[Any]) -> None: ...
+    @overload
+    def set_prop_cycle(self, **kwargs: Iterable[Any]) -> None: ...
+    def get_aspect(self) -> float | Literal["auto"]: ...
+    def set_aspect(
+        self,
+        aspect: float | Literal["auto", "equal"],
+        adjustable: Literal["box", "datalim"] | None = ...,
+        anchor: str | tuple[float, float] | None = ...,
+        share: bool = ...,
+    ) -> None: ...
+    def get_adjustable(self) -> Literal["box", "datalim"]: ...
+    def set_adjustable(
+        self, adjustable: Literal["box", "datalim"], share: bool = ...
+    ) -> None: ...
+    def get_box_aspect(self) -> float | None: ...
+    def set_box_aspect(self, aspect: float | None = ...) -> None: ...
+    def get_anchor(self) -> str | tuple[float, float]: ...
+    def set_anchor(
+        self, anchor: str | tuple[float, float], share: bool = ...
+    ) -> None: ...
+    def get_data_ratio(self) -> float: ...
+    def apply_aspect(self, position: Bbox | None = ...) -> None: ...
+    @overload
+    def axis(
+        self,
+        arg: tuple[float, float, float, float] | bool | str | None = ...,
+        /,
+        *,
+        emit: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    @overload
+    def axis(
+        self,
+        *,
+        emit: bool = ...,
+        xmin: float | None = ...,
+        xmax: float | None = ...,
+        ymin: float | None = ...,
+        ymax: float | None = ...
+    ) -> tuple[float, float, float, float]: ...
+    def get_legend(self) -> Legend: ...
+    def get_images(self) -> list[AxesImage]: ...
+    def get_lines(self) -> list[Line2D]: ...
+    def get_xaxis(self) -> XAxis: ...
+    def get_yaxis(self) -> YAxis: ...
+    def has_data(self) -> bool: ...
+    def add_artist(self, a: Artist) -> Artist: ...
+    def add_child_axes(self, ax: _AxesBase) -> _AxesBase: ...
+    def add_collection(
+        self, collection: Collection, autolim: bool = ...
+    ) -> Collection: ...
+    def add_image(self, image: AxesImage) -> AxesImage: ...
+    def add_line(self, line: Line2D) -> Line2D: ...
+    def add_patch(self, p: Patch) -> Patch: ...
+    def add_table(self, tab: Table) -> Table: ...
+    def add_container(self, container: Container) -> Container: ...
+    def relim(self, visible_only: bool = ...) -> None: ...
+    def update_datalim(
+        self, xys: ArrayLike, updatex: bool = ..., updatey: bool = ...
+    ) -> None: ...
+    def in_axes(self, mouseevent: MouseEvent) -> bool: ...
+    def get_autoscale_on(self) -> bool: ...
+    def set_autoscale_on(self, b: bool) -> None: ...
+    @property
+    def use_sticky_edges(self) -> bool: ...
+    @use_sticky_edges.setter
+    def use_sticky_edges(self, b: bool) -> None: ...
+    def get_xmargin(self) -> float: ...
+    def get_ymargin(self) -> float: ...
+    def set_xmargin(self, m: float) -> None: ...
+    def set_ymargin(self, m: float) -> None: ...
+
+    # Probably could be made better with overloads
+    def margins(
+        self,
+        *margins: float,
+        x: float | None = ...,
+        y: float | None = ...,
+        tight: bool | None = ...
+    ) -> tuple[float, float] | None: ...
+    def set_rasterization_zorder(self, z: float | None) -> None: ...
+    def get_rasterization_zorder(self) -> float | None: ...
+    def autoscale(
+        self,
+        enable: bool = ...,
+        axis: Literal["both", "x", "y"] = ...,
+        tight: bool | None = ...,
+    ) -> None: ...
+    def autoscale_view(
+        self, tight: bool | None = ..., scalex: bool = ..., scaley: bool = ...
+    ) -> None: ...
+    def draw_artist(self, a: Artist) -> None: ...
+    def redraw_in_frame(self) -> None: ...
+    def get_frame_on(self) -> bool: ...
+    def set_frame_on(self, b: bool) -> None: ...
+    def get_axisbelow(self) -> bool | Literal["line"]: ...
+    def set_axisbelow(self, b: bool | Literal["line"]) -> None: ...
+    def grid(
+        self,
+        visible: bool | None = ...,
+        which: Literal["major", "minor", "both"] = ...,
+        axis: Literal["both", "x", "y"] = ...,
+        **kwargs
+    ) -> None: ...
+    def ticklabel_format(
+        self,
+        *,
+        axis: Literal["both", "x", "y"] = ...,
+        style: Literal["", "sci", "scientific", "plain"] | None = ...,
+        scilimits: tuple[int, int] | None = ...,
+        useOffset: bool | float | None = ...,
+        useLocale: bool | None = ...,
+        useMathText: bool | None = ...
+    ) -> None: ...
+    def locator_params(
+        self, axis: Literal["both", "x", "y"] = ..., tight: bool | None = ..., **kwargs
+    ) -> None: ...
+    def tick_params(self, axis: Literal["both", "x", "y"] = ..., **kwargs) -> None: ...
+    def set_axis_off(self) -> None: ...
+    def set_axis_on(self) -> None: ...
+    def get_xlabel(self) -> str: ...
+    def set_xlabel(
+        self,
+        xlabel: str,
+        fontdict: dict[str, Any] | None = ...,
+        labelpad: float | None = ...,
+        *,
+        loc: Literal["left", "center", "right"] | None = ...,
+        **kwargs
+    ) -> Text: ...
+    def invert_xaxis(self) -> None: ...
+    def get_xbound(self) -> tuple[float, float]: ...
+    def set_xbound(
+        self, lower: float | None = ..., upper: float | None = ...
+    ) -> None: ...
+    def get_xlim(self) -> tuple[float, float]: ...
+    def set_xlim(
+        self,
+        left: float | tuple[float, float] | None = ...,
+        right: float | None = ...,
+        *,
+        emit: bool = ...,
+        auto: bool | None = ...,
+        xmin: float | None = ...,
+        xmax: float | None = ...
+    ) -> tuple[float, float]: ...
+    def get_ylabel(self) -> str: ...
+    def set_ylabel(
+        self,
+        ylabel: str,
+        fontdict: dict[str, Any] | None = ...,
+        labelpad: float | None = ...,
+        *,
+        loc: Literal["bottom", "center", "top"] | None = ...,
+        **kwargs
+    ) -> Text: ...
+    def invert_yaxis(self) -> None: ...
+    def get_ybound(self) -> tuple[float, float]: ...
+    def set_ybound(
+        self, lower: float | None = ..., upper: float | None = ...
+    ) -> None: ...
+    def get_ylim(self) -> tuple[float, float]: ...
+    def set_ylim(
+        self,
+        bottom: float | tuple[float, float] | None = ...,
+        top: float | None = ...,
+        *,
+        emit: bool = ...,
+        auto: bool | None = ...,
+        ymin: float | None = ...,
+        ymax: float | None = ...
+    ) -> tuple[float, float]: ...
+    def format_xdata(self, x: float) -> str: ...
+    def format_ydata(self, y: float) -> str: ...
+    def format_coord(self, x: float, y: float) -> str: ...
+    def minorticks_on(self) -> None: ...
+    def minorticks_off(self) -> None: ...
+    def can_zoom(self) -> bool: ...
+    def can_pan(self) -> bool: ...
+    def get_navigate(self) -> bool: ...
+    def set_navigate(self, b: bool) -> None: ...
+    def get_forward_navigation_events(self) -> bool | Literal["auto"]: ...
+    def set_forward_navigation_events(self, forward: bool | Literal["auto"]) -> None: ...
+    def get_navigate_mode(self) -> Literal["PAN", "ZOOM"] | None: ...
+    def set_navigate_mode(self, b: Literal["PAN", "ZOOM"] | None) -> None: ...
+    def start_pan(self, x: float, y: float, button: MouseButton) -> None: ...
+    def end_pan(self) -> None: ...
+    def drag_pan(
+        self, button: MouseButton, key: str | None, x: float, y: float
+    ) -> None: ...
+    def get_children(self) -> list[Artist]: ...
+    def contains_point(self, point: tuple[int, int]) -> bool: ...
+    def get_default_bbox_extra_artists(self) -> list[Artist]: ...
+    def get_tightbbox(
+        self,
+        renderer: RendererBase | None = ...,
+        *,
+        call_axes_locator: bool = ...,
+        bbox_extra_artists: Sequence[Artist] | None = ...,
+        for_layout_only: bool = ...
+    ) -> Bbox | None: ...
+    def twinx(self, axes_class: Axes | None = ..., **kwargs) -> Axes: ...
+    def twiny(self, axes_class: Axes | None = ..., **kwargs) -> Axes: ...
+    def get_shared_x_axes(self) -> cbook.GrouperView: ...
+    def get_shared_y_axes(self) -> cbook.GrouperView: ...
+    def label_outer(self, remove_inner_ticks: bool = ...) -> None: ...
+
+    # The methods underneath this line are added via the `_axis_method_wrapper` class
+    # Initially they are set to an object, but that object uses `__set_name__` to override
+    # itself with a method modified from the Axis methods for the x or y Axis.
+    # As such, they are typed according to the resultant method rather than as that object.
+
+    def get_xgridlines(self) -> list[Line2D]: ...
+    def get_xticklines(self, minor: bool = ...) -> list[Line2D]: ...
+    def get_ygridlines(self) -> list[Line2D]: ...
+    def get_yticklines(self, minor: bool = ...) -> list[Line2D]: ...
+    def _sci(self, im: ColorizingArtist) -> None: ...
+    def get_autoscalex_on(self) -> bool: ...
+    def get_autoscaley_on(self) -> bool: ...
+    def set_autoscalex_on(self, b: bool) -> None: ...
+    def set_autoscaley_on(self, b: bool) -> None: ...
+    def get_xinverted(self) -> bool: ...
+    def xaxis_inverted(self) -> bool: ...
+    def set_xinverted(self, inverted: bool) -> None: ...
+    def get_xscale(self) -> str: ...
+    def set_xscale(self, value: str | ScaleBase, **kwargs) -> None: ...
+    def get_xticks(self, *, minor: bool = ...) -> np.ndarray: ...
+    def set_xticks(
+        self,
+        ticks: ArrayLike,
+        labels: Iterable[str] | None = ...,
+        *,
+        minor: bool = ...,
+        **kwargs
+    ) -> list[Tick]: ...
+    def get_xmajorticklabels(self) -> list[Text]: ...
+    def get_xminorticklabels(self) -> list[Text]: ...
+    def get_xticklabels(
+        self, minor: bool = ..., which: Literal["major", "minor", "both"] | None = ...
+    ) -> list[Text]: ...
+    def set_xticklabels(
+        self,
+        labels: Iterable[str | Text],
+        *,
+        minor: bool = ...,
+        fontdict: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> list[Text]: ...
+    def get_yinverted(self) -> bool: ...
+    def yaxis_inverted(self) -> bool: ...
+    def set_yinverted(self, inverted: bool) -> None: ...
+    def get_yscale(self) -> str: ...
+    def set_yscale(self, value: str | ScaleBase, **kwargs) -> None: ...
+    def get_yticks(self, *, minor: bool = ...) -> np.ndarray: ...
+    def set_yticks(
+        self,
+        ticks: ArrayLike,
+        labels: Iterable[str] | None = ...,
+        *,
+        minor: bool = ...,
+        **kwargs
+    ) -> list[Tick]: ...
+    def get_ymajorticklabels(self) -> list[Text]: ...
+    def get_yminorticklabels(self) -> list[Text]: ...
+    def get_yticklabels(
+        self, minor: bool = ..., which: Literal["major", "minor", "both"] | None = ...
+    ) -> list[Text]: ...
+    def set_yticklabels(
+        self,
+        labels: Iterable[str | Text],
+        *,
+        minor: bool = ...,
+        fontdict: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> list[Text]: ...
+    def xaxis_date(self, tz: str | datetime.tzinfo | None = ...) -> None: ...
+    def yaxis_date(self, tz: str | datetime.tzinfo | None = ...) -> None: ...
diff --git a/lib/matplotlib/axes/_secondary_axes.py b/lib/matplotlib/axes/_secondary_axes.py
new file mode 100644
index 000000000000..15a1970fa4a6
--- /dev/null
+++ b/lib/matplotlib/axes/_secondary_axes.py
@@ -0,0 +1,322 @@
+import numbers
+
+import numpy as np
+
+from matplotlib import _api, _docstring, transforms
+import matplotlib.ticker as mticker
+from matplotlib.axes._base import _AxesBase, _TransformedBoundsLocator
+from matplotlib.axis import Axis
+from matplotlib.transforms import Transform
+
+
+class SecondaryAxis(_AxesBase):
+    """
+    General class to hold a Secondary_X/Yaxis.
+    """
+
+    def __init__(self, parent, orientation, location, functions, transform=None,
+                 **kwargs):
+        """
+        See `.secondary_xaxis` and `.secondary_yaxis` for the doc string.
+        While there is no need for this to be private, it should really be
+        called by those higher level functions.
+        """
+        _api.check_in_list(["x", "y"], orientation=orientation)
+        self._functions = functions
+        self._parent = parent
+        self._orientation = orientation
+        self._ticks_set = False
+
+        fig = self._parent.get_figure(root=False)
+        if self._orientation == 'x':
+            super().__init__(fig, [0, 1., 1, 0.0001], **kwargs)
+            self._axis = self.xaxis
+            self._locstrings = ['top', 'bottom']
+            self._otherstrings = ['left', 'right']
+        else:  # 'y'
+            super().__init__(fig, [0, 1., 0.0001, 1], **kwargs)
+            self._axis = self.yaxis
+            self._locstrings = ['right', 'left']
+            self._otherstrings = ['top', 'bottom']
+        self._parentscale = None
+        # this gets positioned w/o constrained_layout so exclude:
+
+        self.set_location(location, transform)
+        self.set_functions(functions)
+
+        # styling:
+        otheraxis = self.yaxis if self._orientation == 'x' else self.xaxis
+        otheraxis.set_major_locator(mticker.NullLocator())
+        otheraxis.set_ticks_position('none')
+
+        self.spines[self._otherstrings].set_visible(False)
+        self.spines[self._locstrings].set_visible(True)
+
+        if self._pos < 0.5:
+            # flip the location strings...
+            self._locstrings = self._locstrings[::-1]
+        self.set_alignment(self._locstrings[0])
+
+    def set_alignment(self, align):
+        """
+        Set if axes spine and labels are drawn at top or bottom (or left/right)
+        of the Axes.
+
+        Parameters
+        ----------
+        align : {'top', 'bottom', 'left', 'right'}
+            Either 'top' or 'bottom' for orientation='x' or
+            'left' or 'right' for orientation='y' axis.
+        """
+        _api.check_in_list(self._locstrings, align=align)
+        if align == self._locstrings[1]:  # Need to change the orientation.
+            self._locstrings = self._locstrings[::-1]
+        self.spines[self._locstrings[0]].set_visible(True)
+        self.spines[self._locstrings[1]].set_visible(False)
+        self._axis.set_ticks_position(align)
+        self._axis.set_label_position(align)
+
+    def set_location(self, location, transform=None):
+        """
+        Set the vertical or horizontal location of the axes in
+        parent-normalized coordinates.
+
+        Parameters
+        ----------
+        location : {'top', 'bottom', 'left', 'right'} or float
+            The position to put the secondary axis.  Strings can be 'top' or
+            'bottom' for orientation='x' and 'right' or 'left' for
+            orientation='y'. A float indicates the relative position on the
+            parent Axes to put the new Axes, 0.0 being the bottom (or left)
+            and 1.0 being the top (or right).
+
+        transform : `.Transform`, optional
+            Transform for the location to use. Defaults to
+            the parent's ``transAxes``, so locations are normally relative to
+            the parent axes.
+
+            .. versionadded:: 3.9
+        """
+
+        _api.check_isinstance((transforms.Transform, None), transform=transform)
+
+        # This puts the rectangle into figure-relative coordinates.
+        if isinstance(location, str):
+            _api.check_in_list(self._locstrings, location=location)
+            self._pos = 1. if location in ('top', 'right') else 0.
+        elif isinstance(location, numbers.Real):
+            self._pos = location
+        else:
+            raise ValueError(
+                f"location must be {self._locstrings[0]!r}, "
+                f"{self._locstrings[1]!r}, or a float, not {location!r}")
+
+        self._loc = location
+
+        if self._orientation == 'x':
+            # An x-secondary axes is like an inset axes from x = 0 to x = 1 and
+            # from y = pos to y = pos + eps, in the parent's transAxes coords.
+            bounds = [0, self._pos, 1., 1e-10]
+
+            # If a transformation is provided, use its y component rather than
+            # the parent's transAxes. This can be used to place axes in the data
+            # coords, for instance.
+            if transform is not None:
+                transform = transforms.blended_transform_factory(
+                    self._parent.transAxes, transform)
+        else:  # 'y'
+            bounds = [self._pos, 0, 1e-10, 1]
+            if transform is not None:
+                transform = transforms.blended_transform_factory(
+                    transform, self._parent.transAxes)  # Use provided x axis
+
+        # If no transform is provided, use the parent's transAxes
+        if transform is None:
+            transform = self._parent.transAxes
+
+        # this locator lets the axes move in the parent axes coordinates.
+        # so it never needs to know where the parent is explicitly in
+        # figure coordinates.
+        # it gets called in ax.apply_aspect() (of all places)
+        self.set_axes_locator(_TransformedBoundsLocator(bounds, transform))
+
+    def apply_aspect(self, position=None):
+        # docstring inherited.
+        self._set_lims()
+        super().apply_aspect(position)
+
+    @_docstring.copy(Axis.set_ticks)
+    def set_ticks(self, ticks, labels=None, *, minor=False, **kwargs):
+        ret = self._axis.set_ticks(ticks, labels, minor=minor, **kwargs)
+        self.stale = True
+        self._ticks_set = True
+        return ret
+
+    def set_functions(self, functions):
+        """
+        Set how the secondary axis converts limits from the parent Axes.
+
+        Parameters
+        ----------
+        functions : 2-tuple of func, or `Transform` with an inverse.
+            Transform between the parent axis values and the secondary axis
+            values.
+
+            If supplied as a 2-tuple of functions, the first function is
+            the forward transform function and the second is the inverse
+            transform.
+
+            If a transform is supplied, then the transform must have an
+            inverse.
+        """
+
+        if (isinstance(functions, tuple) and len(functions) == 2 and
+                callable(functions[0]) and callable(functions[1])):
+            # make an arbitrary convert from a two-tuple of functions
+            # forward and inverse.
+            self._functions = functions
+        elif isinstance(functions, Transform):
+            self._functions = (
+                 functions.transform,
+                 lambda x: functions.inverted().transform(x)
+            )
+        elif functions is None:
+            self._functions = (lambda x: x, lambda x: x)
+        else:
+            raise ValueError('functions argument of secondary Axes '
+                             'must be a two-tuple of callable functions '
+                             'with the first function being the transform '
+                             'and the second being the inverse')
+        self._set_scale()
+
+    def draw(self, renderer):
+        """
+        Draw the secondary Axes.
+
+        Consults the parent Axes for its limits and converts them
+        using the converter specified by
+        `~.axes._secondary_axes.set_functions` (or *functions*
+        parameter when Axes initialized.)
+        """
+        self._set_lims()
+        # this sets the scale in case the parent has set its scale.
+        self._set_scale()
+        super().draw(renderer)
+
+    def _set_scale(self):
+        """
+        Check if parent has set its scale
+        """
+
+        if self._orientation == 'x':
+            pscale = self._parent.xaxis.get_scale()
+            set_scale = self.set_xscale
+        else:  # 'y'
+            pscale = self._parent.yaxis.get_scale()
+            set_scale = self.set_yscale
+        if pscale == self._parentscale:
+            return
+
+        if self._ticks_set:
+            ticks = self._axis.get_ticklocs()
+
+        # need to invert the roles here for the ticks to line up.
+        set_scale('functionlog' if pscale == 'log' else 'function',
+                  functions=self._functions[::-1])
+
+        # OK, set_scale sets the locators, but if we've called
+        # axsecond.set_ticks, we want to keep those.
+        if self._ticks_set:
+            self._axis.set_major_locator(mticker.FixedLocator(ticks))
+
+        # If the parent scale doesn't change, we can skip this next time.
+        self._parentscale = pscale
+
+    def _set_lims(self):
+        """
+        Set the limits based on parent limits and the convert method
+        between the parent and this secondary Axes.
+        """
+        if self._orientation == 'x':
+            lims = self._parent.get_xlim()
+            set_lim = self.set_xlim
+        else:  # 'y'
+            lims = self._parent.get_ylim()
+            set_lim = self.set_ylim
+        order = lims[0] < lims[1]
+        lims = self._functions[0](np.array(lims))
+        neworder = lims[0] < lims[1]
+        if neworder != order:
+            # Flip because the transform will take care of the flipping.
+            lims = lims[::-1]
+        set_lim(lims)
+
+    def set_aspect(self, *args, **kwargs):
+        """
+        Secondary Axes cannot set the aspect ratio, so calling this just
+        sets a warning.
+        """
+        _api.warn_external("Secondary Axes can't set the aspect ratio")
+
+    def set_color(self, color):
+        """
+        Change the color of the secondary Axes and all decorators.
+
+        Parameters
+        ----------
+        color : :mpltype:`color`
+        """
+        axis = self._axis_map[self._orientation]
+        axis.set_tick_params(colors=color)
+        for spine in self.spines.values():
+            if spine.axis is axis:
+                spine.set_color(color)
+        axis.label.set_color(color)
+
+
+_secax_docstring = '''
+Warnings
+--------
+This method is experimental as of 3.1, and the API may change.
+
+Parameters
+----------
+location : {'top', 'bottom', 'left', 'right'} or float
+    The position to put the secondary axis.  Strings can be 'top' or
+    'bottom' for orientation='x' and 'right' or 'left' for
+    orientation='y'. A float indicates the relative position on the
+    parent Axes to put the new Axes, 0.0 being the bottom (or left)
+    and 1.0 being the top (or right).
+
+functions : 2-tuple of func, or Transform with an inverse
+
+    If a 2-tuple of functions, the user specifies the transform
+    function and its inverse.  i.e.
+    ``functions=(lambda x: 2 / x, lambda x: 2 / x)`` would be an
+    reciprocal transform with a factor of 2. Both functions must accept
+    numpy arrays as input.
+
+    The user can also directly supply a subclass of
+    `.transforms.Transform` so long as it has an inverse.
+
+    See :doc:`/gallery/subplots_axes_and_figures/secondary_axis`
+    for examples of making these conversions.
+
+transform : `.Transform`, optional
+    If specified, *location* will be
+    placed relative to this transform (in the direction of the axis)
+    rather than the parent's axis. i.e. a secondary x-axis will
+    use the provided y transform and the x transform of the parent.
+
+    .. versionadded:: 3.9
+
+Returns
+-------
+ax : axes._secondary_axes.SecondaryAxis
+
+Other Parameters
+----------------
+**kwargs : `~matplotlib.axes.Axes` properties.
+    Other miscellaneous Axes parameters.
+'''
+_docstring.interpd.register(_secax_docstring=_secax_docstring)
diff --git a/lib/matplotlib/axes/_secondary_axes.pyi b/lib/matplotlib/axes/_secondary_axes.pyi
new file mode 100644
index 000000000000..afb429f740c4
--- /dev/null
+++ b/lib/matplotlib/axes/_secondary_axes.pyi
@@ -0,0 +1,45 @@
+from matplotlib.axes._base import _AxesBase
+from matplotlib.axis import Tick
+
+from matplotlib.transforms import Transform
+
+from collections.abc import Callable, Iterable
+from typing import Literal
+from numpy.typing import ArrayLike
+from matplotlib.typing import ColorType
+
+class SecondaryAxis(_AxesBase):
+    def __init__(
+        self,
+        parent: _AxesBase,
+        orientation: Literal["x", "y"],
+        location: Literal["top", "bottom", "right", "left"] | float,
+        functions: tuple[
+            Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]
+        ]
+        | Transform,
+        transform: Transform | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_alignment(
+        self, align: Literal["top", "bottom", "right", "left"]
+    ) -> None: ...
+    def set_location(
+        self,
+        location: Literal["top", "bottom", "right", "left"] | float,
+        transform: Transform | None = ...
+    ) -> None: ...
+    def set_ticks(
+        self,
+        ticks: ArrayLike,
+        labels: Iterable[str] | None = ...,
+        *,
+        minor: bool = ...,
+        **kwargs
+    ) -> list[Tick]: ...
+    def set_functions(
+        self,
+        functions: tuple[Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]] | Transform,
+    ) -> None: ...
+    def set_aspect(self, *args, **kwargs) -> None: ...
+    def set_color(self, color: ColorType) -> None: ...
diff --git a/lib/matplotlib/axes/_subplots.py b/lib/matplotlib/axes/_subplots.py
deleted file mode 100644
index 1d4c64a42dd3..000000000000
--- a/lib/matplotlib/axes/_subplots.py
+++ /dev/null
@@ -1,222 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import map
-
-from matplotlib.gridspec import GridSpec, SubplotSpec
-from matplotlib import docstring
-import matplotlib.artist as martist
-from matplotlib.axes._axes import Axes
-
-import warnings
-from matplotlib.cbook import mplDeprecation
-
-
-class SubplotBase(object):
-    """
-    Base class for subplots, which are :class:`Axes` instances with
-    additional methods to facilitate generating and manipulating a set
-    of :class:`Axes` within a figure.
-    """
-
-    def __init__(self, fig, *args, **kwargs):
-        """
-        *fig* is a :class:`matplotlib.figure.Figure` instance.
-
-        *args* is the tuple (*numRows*, *numCols*, *plotNum*), where
-        the array of subplots in the figure has dimensions *numRows*,
-        *numCols*, and where *plotNum* is the number of the subplot
-        being created.  *plotNum* starts at 1 in the upper left
-        corner and increases to the right.
-
-
-        If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
-        decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
-        """
-
-        self.figure = fig
-
-        if len(args) == 1:
-            if isinstance(args[0], SubplotSpec):
-                self._subplotspec = args[0]
-            else:
-                try:
-                    s = str(int(args[0]))
-                    rows, cols, num = list(map(int, s))
-                except ValueError:
-                    raise ValueError(
-                        'Single argument to subplot must be a 3-digit '
-                        'integer')
-                self._subplotspec = GridSpec(rows, cols)[num - 1]
-                # num - 1 for converting from MATLAB to python indexing
-        elif len(args) == 3:
-            rows, cols, num = args
-            rows = int(rows)
-            cols = int(cols)
-            if isinstance(num, tuple) and len(num) == 2:
-                num = [int(n) for n in num]
-                self._subplotspec = GridSpec(rows, cols)[num[0] - 1:num[1]]
-            else:
-                if num < 1 or num > rows*cols:
-                    raise ValueError(
-                        "num must be 1 <= num <= {maxn}, not {num}".format(
-                            maxn=rows*cols, num=num))
-                self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
-                # num - 1 for converting from MATLAB to python indexing
-        else:
-            raise ValueError('Illegal argument(s) to subplot: %s' % (args,))
-
-        self.update_params()
-
-        # _axes_class is set in the subplot_class_factory
-        self._axes_class.__init__(self, fig, self.figbox, **kwargs)
-
-    def __reduce__(self):
-        # get the first axes class which does not inherit from a subplotbase
-        not_subplotbase = lambda c: issubclass(c, Axes) and \
-            not issubclass(c, SubplotBase)
-        axes_class = [c for c in self.__class__.mro() if not_subplotbase(c)][0]
-        r = [_PicklableSubplotClassConstructor(),
-             (axes_class,),
-             self.__getstate__()]
-        return tuple(r)
-
-    def get_geometry(self):
-        """get the subplot geometry, e.g., 2,2,3"""
-        rows, cols, num1, num2 = self.get_subplotspec().get_geometry()
-        return rows, cols, num1 + 1  # for compatibility
-
-    # COVERAGE NOTE: Never used internally or from examples
-    def change_geometry(self, numrows, numcols, num):
-        """change subplot geometry, e.g., from 1,1,1 to 2,2,3"""
-        self._subplotspec = GridSpec(numrows, numcols)[num - 1]
-        self.update_params()
-        self.set_position(self.figbox)
-
-    def get_subplotspec(self):
-        """get the SubplotSpec instance associated with the subplot"""
-        return self._subplotspec
-
-    def set_subplotspec(self, subplotspec):
-        """set the SubplotSpec instance associated with the subplot"""
-        self._subplotspec = subplotspec
-
-    def update_params(self):
-        """update the subplot position from fig.subplotpars"""
-
-        self.figbox, self.rowNum, self.colNum, self.numRows, self.numCols = \
-            self.get_subplotspec().get_position(self.figure,
-                                                return_all=True)
-
-    def is_first_col(self):
-        return self.colNum == 0
-
-    def is_first_row(self):
-        return self.rowNum == 0
-
-    def is_last_row(self):
-        return self.rowNum == self.numRows - 1
-
-    def is_last_col(self):
-        return self.colNum == self.numCols - 1
-
-    # COVERAGE NOTE: Never used internally or from examples
-    def label_outer(self):
-        """
-        set the visible property on ticklabels so xticklabels are
-        visible only if the subplot is in the last row and yticklabels
-        are visible only if the subplot is in the first column
-        """
-        lastrow = self.is_last_row()
-        firstcol = self.is_first_col()
-        for label in self.get_xticklabels():
-            label.set_visible(lastrow)
-
-        for label in self.get_yticklabels():
-            label.set_visible(firstcol)
-
-    def _make_twin_axes(self, *kl, **kwargs):
-        """
-        make a twinx axes of self. This is used for twinx and twiny.
-        """
-        from matplotlib.projections import process_projection_requirements
-        kl = (self.get_subplotspec(),) + kl
-        projection_class, kwargs, key = process_projection_requirements(
-            self.figure, *kl, **kwargs)
-
-        ax2 = subplot_class_factory(projection_class)(self.figure,
-                                                      *kl, **kwargs)
-        self.figure.add_subplot(ax2)
-        return ax2
-
-_subplot_classes = {}
-
-
-def subplot_class_factory(axes_class=None):
-    # This makes a new class that inherits from SubplotBase and the
-    # given axes_class (which is assumed to be a subclass of Axes).
-    # This is perhaps a little bit roundabout to make a new class on
-    # the fly like this, but it means that a new Subplot class does
-    # not have to be created for every type of Axes.
-    if axes_class is None:
-        axes_class = Axes
-
-    new_class = _subplot_classes.get(axes_class)
-    if new_class is None:
-        new_class = type(str("%sSubplot") % (axes_class.__name__),
-                         (SubplotBase, axes_class),
-                         {'_axes_class': axes_class})
-        _subplot_classes[axes_class] = new_class
-
-    return new_class
-
-# This is provided for backward compatibility
-Subplot = subplot_class_factory()
-
-
-class _PicklableSubplotClassConstructor(object):
-    """
-    This stub class exists to return the appropriate subplot
-    class when __call__-ed with an axes class. This is purely to
-    allow Pickling of Axes and Subplots.
-    """
-    def __call__(self, axes_class):
-        # create a dummy object instance
-        subplot_instance = _PicklableSubplotClassConstructor()
-        subplot_class = subplot_class_factory(axes_class)
-        # update the class to the desired subplot class
-        subplot_instance.__class__ = subplot_class
-        return subplot_instance
-
-
-docstring.interpd.update(Axes=martist.kwdoc(Axes))
-docstring.interpd.update(Subplot=martist.kwdoc(Axes))
-
-"""
-# this is some discarded code I was using to find the minimum positive
-# data point for some log scaling fixes.  I realized there was a
-# cleaner way to do it, but am keeping this around as an example for
-# how to get the data out of the axes.  Might want to make something
-# like this a method one day, or better yet make get_verts an Artist
-# method
-
-            minx, maxx = self.get_xlim()
-            if minx<=0 or maxx<=0:
-                # find the min pos value in the data
-                xs = []
-                for line in self.lines:
-                    xs.extend(line.get_xdata(orig=False))
-                for patch in self.patches:
-                    xs.extend([x for x,y in patch.get_verts()])
-                for collection in self.collections:
-                    xs.extend([x for x,y in collection.get_verts()])
-                posx = [x for x in xs if x>0]
-                if len(posx):
-
-                    minx = min(posx)
-                    maxx = max(posx)
-                    # warning, probably breaks inverted axis
-                    self.set_xlim((0.1*minx, maxx))
-
-"""
diff --git a/lib/matplotlib/axes/meson.build b/lib/matplotlib/axes/meson.build
new file mode 100644
index 000000000000..8de3c9c382d7
--- /dev/null
+++ b/lib/matplotlib/axes/meson.build
@@ -0,0 +1,16 @@
+python_sources = [
+  '__init__.py',
+  '_axes.py',
+  '_base.py',
+  '_secondary_axes.py',
+]
+
+typing_sources = [
+  '__init__.pyi',
+  '_axes.pyi',
+  '_base.pyi',
+  '_secondary_axes.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/axes')
diff --git a/lib/matplotlib/axis.py b/lib/matplotlib/axis.py
index 5304602699b0..19096fc29d3e 100644
--- a/lib/matplotlib/axis.py
+++ b/lib/matplotlib/axis.py
@@ -1,142 +1,122 @@
 """
-Classes for the ticks and x and y axis
+Classes for the ticks and x- and y-axis.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+import datetime
+import functools
+import logging
+from numbers import Real
+import warnings
+
+import numpy as np
 
-from matplotlib import rcParams
-import matplotlib.artist as artist
-from matplotlib.artist import allow_rasterization
-import matplotlib.cbook as cbook
-import matplotlib.font_manager as font_manager
+import matplotlib as mpl
+from matplotlib import _api, cbook
+import matplotlib.artist as martist
+import matplotlib.colors as mcolors
 import matplotlib.lines as mlines
-import matplotlib.patches as mpatches
 import matplotlib.scale as mscale
 import matplotlib.text as mtext
 import matplotlib.ticker as mticker
 import matplotlib.transforms as mtransforms
 import matplotlib.units as munits
-import numpy as np
-import warnings
-
-GRIDLINE_INTERPOLATION_STEPS = 180
-
-
-class Tick(artist.Artist):
-    """
-    Abstract base class for the axis ticks, grid lines and labels
-
-    1 refers to the bottom of the plot for xticks and the left for yticks
-    2 refers to the top of the plot for xticks and the right for yticks
-
-    Publicly accessible attributes:
-
-      :attr:`tick1line`
-          a Line2D instance
-
-      :attr:`tick2line`
-          a Line2D instance
-
-      :attr:`gridline`
-          a Line2D instance
-
-      :attr:`label1`
-          a Text instance
+from matplotlib.ticker import NullLocator
 
-      :attr:`label2`
-          a Text instance
+_log = logging.getLogger(__name__)
 
-      :attr:`gridOn`
-          a boolean which determines whether to draw the tickline
-
-      :attr:`tick1On`
-          a boolean which determines whether to draw the 1st tickline
+GRIDLINE_INTERPOLATION_STEPS = 180
 
-      :attr:`tick2On`
-          a boolean which determines whether to draw the 2nd tickline
+# This list is being used for compatibility with Axes.grid, which
+# allows all Line2D kwargs.
+_line_inspector = martist.ArtistInspector(mlines.Line2D)
+_line_param_names = _line_inspector.get_setters()
+_line_param_aliases = [next(iter(d)) for d in _line_inspector.aliasd.values()]
+_gridline_param_names = ['grid_' + name
+                         for name in _line_param_names + _line_param_aliases]
 
-      :attr:`label1On`
-          a boolean which determines whether to draw tick label
 
-      :attr:`label2On`
-          a boolean which determines whether to draw tick label
+class Tick(martist.Artist):
+    """
+    Abstract base class for the axis ticks, grid lines and labels.
+
+    Ticks mark a position on an Axis. They contain two lines as markers and
+    two labels; one each for the bottom and top positions (in case of an
+    `.XAxis`) or for the left and right positions (in case of a `.YAxis`).
+
+    Attributes
+    ----------
+    tick1line : `~matplotlib.lines.Line2D`
+        The left/bottom tick marker.
+    tick2line : `~matplotlib.lines.Line2D`
+        The right/top tick marker.
+    gridline : `~matplotlib.lines.Line2D`
+        The grid line associated with the label position.
+    label1 : `~matplotlib.text.Text`
+        The left/bottom tick label.
+    label2 : `~matplotlib.text.Text`
+        The right/top tick label.
 
     """
-    def __init__(self, axes, loc, label,
-                 size=None,  # points
-                 width=None,
-                 color=None,
-                 tickdir=None,
-                 pad=None,
-                 labelsize=None,
-                 labelcolor=None,
-                 zorder=None,
-                 gridOn=None,  # defaults to axes.grid depending on
-                               # axes.grid.which
-                 tick1On=True,
-                 tick2On=True,
-                 label1On=True,
-                 label2On=False,
-                 major=True,
-                 ):
+    def __init__(
+        self, axes, loc, *,
+        size=None,  # points
+        width=None,
+        color=None,
+        tickdir=None,
+        pad=None,
+        labelsize=None,
+        labelcolor=None,
+        labelfontfamily=None,
+        zorder=None,
+        gridOn=None,  # defaults to axes.grid depending on axes.grid.which
+        tick1On=True,
+        tick2On=True,
+        label1On=True,
+        label2On=False,
+        major=True,
+        labelrotation=0,
+        labelrotation_mode=None,
+        grid_color=None,
+        grid_linestyle=None,
+        grid_linewidth=None,
+        grid_alpha=None,
+        **kwargs,  # Other Line2D kwargs applied to gridlines.
+    ):
         """
         bbox is the Bound2D bounding box in display coords of the Axes
         loc is the tick location in data coords
         size is the tick size in points
         """
-        artist.Artist.__init__(self)
+        super().__init__()
 
         if gridOn is None:
-            if major and (rcParams['axes.grid.which'] in ('both', 'major')):
-                gridOn = rcParams['axes.grid']
-            elif (not major) and (rcParams['axes.grid.which']
-                                  in ('both', 'minor')):
-                gridOn = rcParams['axes.grid']
+            which = mpl.rcParams['axes.grid.which']
+            if major and which in ('both', 'major'):
+                gridOn = mpl.rcParams['axes.grid']
+            elif not major and which in ('both', 'minor'):
+                gridOn = mpl.rcParams['axes.grid']
             else:
                 gridOn = False
 
-        self.set_figure(axes.figure)
+        self.set_figure(axes.get_figure(root=False))
         self.axes = axes
 
-        name = self.__name__.lower()
-        self._name = name
-
         self._loc = loc
-
-        if size is None:
-            if major:
-                size = rcParams['%s.major.size' % name]
-            else:
-                size = rcParams['%s.minor.size' % name]
-        self._size = size
-
-        if width is None:
-            if major:
-                width = rcParams['%s.major.width' % name]
-            else:
-                width = rcParams['%s.minor.width' % name]
-        self._width = width
-
-        if color is None:
-            color = rcParams['%s.color' % name]
-        self._color = color
-
-        if pad is None:
-            if major:
-                pad = rcParams['%s.major.pad' % name]
-            else:
-                pad = rcParams['%s.minor.pad' % name]
-        self._base_pad = pad
-
-        if labelcolor is None:
-            labelcolor = rcParams['%s.color' % name]
-        self._labelcolor = labelcolor
-
-        if labelsize is None:
-            labelsize = rcParams['%s.labelsize' % name]
-        self._labelsize = labelsize
+        self._major = major
+
+        name = self.__name__
+        major_minor = "major" if major else "minor"
+        self._size = mpl._val_or_rc(size, f"{name}.{major_minor}.size")
+        self._width = mpl._val_or_rc(width, f"{name}.{major_minor}.width")
+        self._base_pad = mpl._val_or_rc(pad, f"{name}.{major_minor}.pad")
+        color = mpl._val_or_rc(color, f"{name}.color")
+        labelcolor = mpl._val_or_rc(labelcolor, f"{name}.labelcolor")
+        if cbook._str_equal(labelcolor, 'inherit'):
+            # inherit from tick color
+            labelcolor = mpl.rcParams[f"{name}.color"]
+        labelsize = mpl._val_or_rc(labelsize, f"{name}.labelsize")
+
+        self._set_labelrotation(labelrotation)
 
         if zorder is None:
             if major:
@@ -145,42 +125,103 @@ def __init__(self, axes, loc, label,
                 zorder = mlines.Line2D.zorder
         self._zorder = zorder
 
-        self.apply_tickdir(tickdir)
-
-        self.tick1line = self._get_tick1line()
-        self.tick2line = self._get_tick2line()
-        self.gridline = self._get_gridline()
+        grid_color = mpl._val_or_rc(grid_color, "grid.color")
+        grid_linestyle = mpl._val_or_rc(grid_linestyle, "grid.linestyle")
+        grid_linewidth = mpl._val_or_rc(grid_linewidth, "grid.linewidth")
+        if grid_alpha is None and not mcolors._has_alpha_channel(grid_color):
+            # alpha precedence: kwarg > color alpha > rcParams['grid.alpha']
+            # Note: only resolve to rcParams if the color does not have alpha
+            # otherwise `grid(color=(1, 1, 1, 0.5))` would work like
+            #   grid(color=(1, 1, 1, 0.5), alpha=rcParams['grid.alpha'])
+            # so the that the rcParams default would override color alpha.
+            grid_alpha = mpl.rcParams["grid.alpha"]
+        grid_kw = {k[5:]: v for k, v in kwargs.items() if k != "rotation_mode"}
+
+        self.tick1line = mlines.Line2D(
+            [], [],
+            color=color, linestyle="none", zorder=zorder, visible=tick1On,
+            markeredgecolor=color, markersize=self._size, markeredgewidth=self._width,
+        )
+        self.tick2line = mlines.Line2D(
+            [], [],
+            color=color, linestyle="none", zorder=zorder, visible=tick2On,
+            markeredgecolor=color, markersize=self._size, markeredgewidth=self._width,
+        )
+        self.gridline = mlines.Line2D(
+            [], [],
+            color=grid_color, alpha=grid_alpha, visible=gridOn,
+            linestyle=grid_linestyle, linewidth=grid_linewidth, marker="",
+            **grid_kw,
+        )
+        self.gridline.get_path()._interpolation_steps = \
+            GRIDLINE_INTERPOLATION_STEPS
+        self.label1 = mtext.Text(
+            np.nan, np.nan,
+            fontsize=labelsize, color=labelcolor, visible=label1On,
+            fontfamily=labelfontfamily, rotation=self._labelrotation[1],
+            rotation_mode=labelrotation_mode)
+        self.label2 = mtext.Text(
+            np.nan, np.nan,
+            fontsize=labelsize, color=labelcolor, visible=label2On,
+            fontfamily=labelfontfamily, rotation=self._labelrotation[1],
+            rotation_mode=labelrotation_mode)
+
+        self._apply_tickdir(tickdir)
+
+        for artist in [self.tick1line, self.tick2line, self.gridline,
+                       self.label1, self.label2]:
+            self._set_artist_props(artist)
 
-        self.label1 = self._get_text1()
-        self.label = self.label1  # legacy name
-        self.label2 = self._get_text2()
+        self.update_position(loc)
 
-        self.gridOn = gridOn
-        self.tick1On = tick1On
-        self.tick2On = tick2On
-        self.label1On = label1On
-        self.label2On = label2On
+    def _set_labelrotation(self, labelrotation):
+        if isinstance(labelrotation, str):
+            mode = labelrotation
+            angle = 0
+        elif isinstance(labelrotation, (tuple, list)):
+            mode, angle = labelrotation
+        else:
+            mode = 'default'
+            angle = labelrotation
+        _api.check_in_list(['auto', 'default'], labelrotation=mode)
+        self._labelrotation = (mode, angle)
+
+    @property
+    def _pad(self):
+        return self._base_pad + self.get_tick_padding()
+
+    def _apply_tickdir(self, tickdir):
+        """Set tick direction.  Valid values are 'out', 'in', 'inout'."""
+        # This method is responsible for verifying input and, in subclasses, for setting
+        # the tick{1,2}line markers.  From the user perspective this should always be
+        # called through _apply_params, which further updates ticklabel positions using
+        # the new pads.
+        tickdir = mpl._val_or_rc(tickdir, f'{self.__name__}.direction')
+        _api.check_in_list(['in', 'out', 'inout'], tickdir=tickdir)
+        self._tickdir = tickdir
 
-        self.update_position(loc)
+    def get_tickdir(self):
+        return self._tickdir
 
-    def apply_tickdir(self, tickdir):
-        """
-        Calculate self._pad and self._tickmarkers
-        """
-        pass
+    def get_tick_padding(self):
+        """Get the length of the tick outside of the Axes."""
+        padding = {
+            'in': 0.0,
+            'inout': 0.5,
+            'out': 1.0
+        }
+        return self._size * padding[self._tickdir]
 
     def get_children(self):
         children = [self.tick1line, self.tick2line,
                     self.gridline, self.label1, self.label2]
         return children
 
-    def set_clip_path(self, clippath, transform=None):
-        artist.Artist.set_clip_path(self, clippath, transform)
-        self.gridline.set_clip_path(clippath, transform)
-    set_clip_path.__doc__ = artist.Artist.set_clip_path.__doc__
-
-    def get_pad_pixels(self):
-        return self.figure.dpi * self._base_pad / 72.0
+    def set_clip_path(self, path, transform=None):
+        # docstring inherited
+        super().set_clip_path(path, transform)
+        self.gridline.set_clip_path(path, transform)
+        self.stale = True
 
     def contains(self, mouseevent):
         """
@@ -189,137 +230,118 @@ def contains(self, mouseevent):
         This function always returns false.  It is more useful to test if the
         axis as a whole contains the mouse rather than the set of tick marks.
         """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
         return False, {}
 
     def set_pad(self, val):
         """
         Set the tick label pad in points
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        val : float
         """
         self._apply_params(pad=val)
+        self.stale = True
 
     def get_pad(self):
-        'Get the value of the tick label pad in points'
+        """Get the value of the tick label pad in points."""
         return self._base_pad
 
-    def _get_text1(self):
-        'Get the default Text 1 instance'
-        pass
-
-    def _get_text2(self):
-        'Get the default Text 2 instance'
-        pass
-
-    def _get_tick1line(self):
-        'Get the default line2D instance for tick1'
-        pass
-
-    def _get_tick2line(self):
-        'Get the default line2D instance for tick2'
-        pass
-
-    def _get_gridline(self):
-        'Get the default grid Line2d instance for this tick'
-        pass
-
     def get_loc(self):
-        'Return the tick location (data coords) as a scalar'
+        """Return the tick location (data coords) as a scalar."""
         return self._loc
 
-    @allow_rasterization
+    @martist.allow_rasterization
     def draw(self, renderer):
         if not self.get_visible():
+            self.stale = False
             return
-        renderer.open_group(self.__name__)
-        midPoint = mtransforms.interval_contains(self.get_view_interval(),
-                                                 self.get_loc())
-
-        if midPoint:
-            if self.gridOn:
-                self.gridline.draw(renderer)
-            if self.tick1On:
-                self.tick1line.draw(renderer)
-            if self.tick2On:
-                self.tick2line.draw(renderer)
-
-        if self.label1On:
-            self.label1.draw(renderer)
-        if self.label2On:
-            self.label2.draw(renderer)
-
+        renderer.open_group(self.__name__, gid=self.get_gid())
+        for artist in [self.gridline, self.tick1line, self.tick2line,
+                       self.label1, self.label2]:
+            artist.draw(renderer)
         renderer.close_group(self.__name__)
+        self.stale = False
 
-    def set_label1(self, s):
-        """
-        Set the text of ticklabel
-
-        ACCEPTS: str
-        """
-        self.label1.set_text(s)
-    set_label = set_label1
-
-    def set_label2(self, s):
+    def set_url(self, url):
         """
-        Set the text of ticklabel2
+        Set the url of label1 and label2.
 
-        ACCEPTS: str
+        Parameters
+        ----------
+        url : str
         """
-        self.label2.set_text(s)
+        super().set_url(url)
+        self.label1.set_url(url)
+        self.label2.set_url(url)
+        self.stale = True
 
     def _set_artist_props(self, a):
-        a.set_figure(self.figure)
+        a.set_figure(self.get_figure(root=False))
 
     def get_view_interval(self):
-        'return the view Interval instance for the axis this tick is ticking'
+        """
+        Return the view limits ``(min, max)`` of the axis the tick belongs to.
+        """
         raise NotImplementedError('Derived must override')
 
-    def _apply_params(self, **kw):
-        switchkw = ['gridOn', 'tick1On', 'tick2On', 'label1On', 'label2On']
-        switches = [k for k in kw if k in switchkw]
-        for k in switches:
-            setattr(self, k, kw.pop(k))
-        dirpad = [k for k in kw if k in ['pad', 'tickdir']]
-        if dirpad:
-            self._base_pad = kw.pop('pad', self._base_pad)
-            self.apply_tickdir(kw.pop('tickdir', self._tickdir))
+    def _apply_params(self, **kwargs):
+        for name, target in [("gridOn", self.gridline),
+                             ("tick1On", self.tick1line),
+                             ("tick2On", self.tick2line),
+                             ("label1On", self.label1),
+                             ("label2On", self.label2)]:
+            if name in kwargs:
+                target.set_visible(kwargs.pop(name))
+        if any(k in kwargs for k in ['size', 'width', 'pad', 'tickdir']):
+            self._size = kwargs.pop('size', self._size)
+            # Width could be handled outside this block, but it is
+            # convenient to leave it here.
+            self._width = kwargs.pop('width', self._width)
+            self._base_pad = kwargs.pop('pad', self._base_pad)
+            # _apply_tickdir uses _size and _base_pad to make _pad, and also
+            # sets the ticklines markers.
+            self._apply_tickdir(kwargs.pop('tickdir', self._tickdir))
+            for line in (self.tick1line, self.tick2line):
+                line.set_markersize(self._size)
+                line.set_markeredgewidth(self._width)
+            # _get_text1_transform uses _pad from _apply_tickdir.
             trans = self._get_text1_transform()[0]
             self.label1.set_transform(trans)
             trans = self._get_text2_transform()[0]
             self.label2.set_transform(trans)
-            self.tick1line.set_marker(self._tickmarkers[0])
-            self.tick2line.set_marker(self._tickmarkers[1])
-        tick_kw = dict([kv for kv in six.iteritems(kw)
-                        if kv[0] in ['color', 'zorder']])
-        if tick_kw:
-            self.tick1line.set(**tick_kw)
-            self.tick2line.set(**tick_kw)
-            for k, v in six.iteritems(tick_kw):
-                setattr(self, '_' + k, v)
-        tick_list = [kv for kv
-                     in six.iteritems(kw) if kv[0] in ['size', 'width']]
-        for k, v in tick_list:
+        tick_kw = {k: v for k, v in kwargs.items() if k in ['color', 'zorder']}
+        if 'color' in kwargs:
+            tick_kw['markeredgecolor'] = kwargs['color']
+        self.tick1line.set(**tick_kw)
+        self.tick2line.set(**tick_kw)
+        for k, v in tick_kw.items():
             setattr(self, '_' + k, v)
-            if k == 'size':
-                self.tick1line.set_markersize(v)
-                self.tick2line.set_markersize(v)
-            else:
-                self.tick1line.set_markeredgewidth(v)
-                self.tick2line.set_markeredgewidth(v)
-        label_list = [k for k in six.iteritems(kw)
-                      if k[0] in ['labelsize', 'labelcolor']]
-        if label_list:
-            label_kw = dict([(k[5:], v) for (k, v) in label_list])
-            self.label1.set(**label_kw)
-            self.label2.set(**label_kw)
-            for k, v in six.iteritems(label_kw):
-                # for labelsize the text objects covert str ('small')
-                # -> points. grab the integer from the `Text` object
-                # instead of saving the string representation
-                v = getattr(self.label1, 'get_' + k)()
-                setattr(self, '_' + k, v)
+
+        if 'labelrotation' in kwargs:
+            self._set_labelrotation(kwargs.pop('labelrotation'))
+            self.label1.set(rotation=self._labelrotation[1])
+            self.label2.set(rotation=self._labelrotation[1])
+
+        label_kw = {k[5:]: v for k, v in kwargs.items()
+                    if k in ['labelsize', 'labelcolor', 'labelfontfamily',
+                             'labelrotation_mode']}
+        self.label1.set(**label_kw)
+        self.label2.set(**label_kw)
+
+        grid_kw = {k[5:]: v for k, v in kwargs.items()
+                   if k in _gridline_param_names}
+        self.gridline.set(**grid_kw)
+
+    def update_position(self, loc):
+        """Set the location of tick in data coords with scalar *loc*."""
+        raise NotImplementedError('Derived must override')
+
+    def _get_text1_transform(self):
+        raise NotImplementedError('Derived must override')
+
+    def _get_text2_transform(self):
+        raise NotImplementedError('Derived must override')
 
 
 class XTick(Tick):
@@ -329,130 +351,57 @@ class XTick(Tick):
     """
     __name__ = 'xtick'
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        # x in data coords, y in axes coords
+        ax = self.axes
+        self.tick1line.set(
+            data=([0], [0]), transform=ax.get_xaxis_transform("tick1"))
+        self.tick2line.set(
+            data=([0], [1]), transform=ax.get_xaxis_transform("tick2"))
+        self.gridline.set(
+            data=([0, 0], [0, 1]), transform=ax.get_xaxis_transform("grid"))
+        # the y loc is 3 points below the min of y axis
+        trans, va, ha = self._get_text1_transform()
+        self.label1.set(
+            x=0, y=0,
+            verticalalignment=va, horizontalalignment=ha, transform=trans,
+        )
+        trans, va, ha = self._get_text2_transform()
+        self.label2.set(
+            x=0, y=1,
+            verticalalignment=va, horizontalalignment=ha, transform=trans,
+        )
+
     def _get_text1_transform(self):
         return self.axes.get_xaxis_text1_transform(self._pad)
 
     def _get_text2_transform(self):
         return self.axes.get_xaxis_text2_transform(self._pad)
 
-    def apply_tickdir(self, tickdir):
-        if tickdir is None:
-            tickdir = rcParams['%s.direction' % self._name]
-        self._tickdir = tickdir
-
-        if self._tickdir == 'in':
-            self._tickmarkers = (mlines.TICKUP, mlines.TICKDOWN)
-            self._pad = self._base_pad
-        elif self._tickdir == 'inout':
-            self._tickmarkers = ('|', '|')
-            self._pad = self._base_pad + self._size / 2.
-        else:
-            self._tickmarkers = (mlines.TICKDOWN, mlines.TICKUP)
-            self._pad = self._base_pad + self._size
-
-    def _get_text1(self):
-        'Get the default Text instance'
-        # the y loc is 3 points below the min of y axis
-        # get the affine as an a,b,c,d,tx,ty list
-        # x in data coords, y in axes coords
-        trans, vert, horiz = self._get_text1_transform()
-        t = mtext.Text(
-            x=0, y=0,
-            fontproperties=font_manager.FontProperties(size=self._labelsize),
-            color=self._labelcolor,
-            verticalalignment=vert,
-            horizontalalignment=horiz,
-            )
-        t.set_transform(trans)
-        self._set_artist_props(t)
-        return t
-
-    def _get_text2(self):
-
-        'Get the default Text 2 instance'
-        # x in data coords, y in axes coords
-        trans, vert, horiz = self._get_text2_transform()
-        t = mtext.Text(
-            x=0, y=1,
-            fontproperties=font_manager.FontProperties(size=self._labelsize),
-            color=self._labelcolor,
-            verticalalignment=vert,
-            horizontalalignment=horiz,
-            )
-        t.set_transform(trans)
-        self._set_artist_props(t)
-        return t
-
-    def _get_tick1line(self):
-        'Get the default line2D instance'
-        # x in data coords, y in axes coords
-        l = mlines.Line2D(xdata=(0,), ydata=(0,), color=self._color,
-                          linestyle='None', marker=self._tickmarkers[0],
-                          markersize=self._size,
-                          markeredgewidth=self._width, zorder=self._zorder)
-        l.set_transform(self.axes.get_xaxis_transform(which='tick1'))
-        self._set_artist_props(l)
-        return l
-
-    def _get_tick2line(self):
-        'Get the default line2D instance'
-        # x in data coords, y in axes coords
-        l = mlines.Line2D(xdata=(0,), ydata=(1,),
-                          color=self._color,
-                          linestyle='None',
-                          marker=self._tickmarkers[1],
-                          markersize=self._size,
-                          markeredgewidth=self._width,
-                          zorder=self._zorder)
-
-        l.set_transform(self.axes.get_xaxis_transform(which='tick2'))
-        self._set_artist_props(l)
-        return l
-
-    def _get_gridline(self):
-        'Get the default line2D instance'
-        # x in data coords, y in axes coords
-        l = mlines.Line2D(xdata=(0.0, 0.0), ydata=(0, 1.0),
-                          color=rcParams['grid.color'],
-                          linestyle=rcParams['grid.linestyle'],
-                          linewidth=rcParams['grid.linewidth'],
-                          alpha=rcParams['grid.alpha'],
-                          markersize=0)
-        l.set_transform(self.axes.get_xaxis_transform(which='grid'))
-        l.get_path()._interpolation_steps = GRIDLINE_INTERPOLATION_STEPS
-        self._set_artist_props(l)
-
-        return l
+    def _apply_tickdir(self, tickdir):
+        # docstring inherited
+        super()._apply_tickdir(tickdir)
+        mark1, mark2 = {
+            'out': (mlines.TICKDOWN, mlines.TICKUP),
+            'in': (mlines.TICKUP, mlines.TICKDOWN),
+            'inout': ('|', '|'),
+        }[self._tickdir]
+        self.tick1line.set_marker(mark1)
+        self.tick2line.set_marker(mark2)
 
     def update_position(self, loc):
-        'Set the location of tick in data coords with scalar *loc*'
-        x = loc
-
-        nonlinear = (hasattr(self.axes, 'yaxis') and
-                     self.axes.yaxis.get_scale() != 'linear' or
-                     hasattr(self.axes, 'xaxis') and
-                     self.axes.xaxis.get_scale() != 'linear')
-
-        if self.tick1On:
-            self.tick1line.set_xdata((x,))
-        if self.tick2On:
-            self.tick2line.set_xdata((x,))
-        if self.gridOn:
-            self.gridline.set_xdata((x,))
-        if self.label1On:
-            self.label1.set_x(x)
-        if self.label2On:
-            self.label2.set_x(x)
-
-        if nonlinear:
-            self.tick1line._invalid = True
-            self.tick2line._invalid = True
-            self.gridline._invalid = True
-
+        """Set the location of tick in data coords with scalar *loc*."""
+        self.tick1line.set_xdata((loc,))
+        self.tick2line.set_xdata((loc,))
+        self.gridline.set_xdata((loc,))
+        self.label1.set_x(loc)
+        self.label2.set_x(loc)
         self._loc = loc
+        self.stale = True
 
     def get_view_interval(self):
-        'return the Interval instance for this axis view limits'
+        # docstring inherited
         return self.axes.viewLim.intervalx
 
 
@@ -463,227 +412,344 @@ class YTick(Tick):
     """
     __name__ = 'ytick'
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        # x in axes coords, y in data coords
+        ax = self.axes
+        self.tick1line.set(
+            data=([0], [0]), transform=ax.get_yaxis_transform("tick1"))
+        self.tick2line.set(
+            data=([1], [0]), transform=ax.get_yaxis_transform("tick2"))
+        self.gridline.set(
+            data=([0, 1], [0, 0]), transform=ax.get_yaxis_transform("grid"))
+        # the y loc is 3 points below the min of y axis
+        trans, va, ha = self._get_text1_transform()
+        self.label1.set(
+            x=0, y=0,
+            verticalalignment=va, horizontalalignment=ha, transform=trans,
+        )
+        trans, va, ha = self._get_text2_transform()
+        self.label2.set(
+            x=1, y=0,
+            verticalalignment=va, horizontalalignment=ha, transform=trans,
+        )
+
     def _get_text1_transform(self):
         return self.axes.get_yaxis_text1_transform(self._pad)
 
     def _get_text2_transform(self):
         return self.axes.get_yaxis_text2_transform(self._pad)
 
-    def apply_tickdir(self, tickdir):
-        if tickdir is None:
-            tickdir = rcParams['%s.direction' % self._name]
-        self._tickdir = tickdir
+    def _apply_tickdir(self, tickdir):
+        # docstring inherited
+        super()._apply_tickdir(tickdir)
+        mark1, mark2 = {
+            'out': (mlines.TICKLEFT, mlines.TICKRIGHT),
+            'in': (mlines.TICKRIGHT, mlines.TICKLEFT),
+            'inout': ('_', '_'),
+        }[self._tickdir]
+        self.tick1line.set_marker(mark1)
+        self.tick2line.set_marker(mark2)
 
-        if self._tickdir == 'in':
-            self._tickmarkers = (mlines.TICKRIGHT, mlines.TICKLEFT)
-            self._pad = self._base_pad
-        elif self._tickdir == 'inout':
-            self._tickmarkers = ('_', '_')
-            self._pad = self._base_pad + self._size / 2.
-        else:
-            self._tickmarkers = (mlines.TICKLEFT, mlines.TICKRIGHT)
-            self._pad = self._base_pad + self._size
+    def update_position(self, loc):
+        """Set the location of tick in data coords with scalar *loc*."""
+        self.tick1line.set_ydata((loc,))
+        self.tick2line.set_ydata((loc,))
+        self.gridline.set_ydata((loc,))
+        self.label1.set_y(loc)
+        self.label2.set_y(loc)
+        self._loc = loc
+        self.stale = True
 
-    # how far from the y axis line the right of the ticklabel are
-    def _get_text1(self):
-        'Get the default Text instance'
-        # x in axes coords, y in data coords
-        trans, vert, horiz = self._get_text1_transform()
-        t = mtext.Text(
-            x=0, y=0,
-            fontproperties=font_manager.FontProperties(size=self._labelsize),
-            color=self._labelcolor,
-            verticalalignment=vert,
-            horizontalalignment=horiz,
-            )
-        t.set_transform(trans)
-        self._set_artist_props(t)
-        return t
+    def get_view_interval(self):
+        # docstring inherited
+        return self.axes.viewLim.intervaly
 
-    def _get_text2(self):
-        'Get the default Text instance'
-        # x in axes coords, y in data coords
-        trans, vert, horiz = self._get_text2_transform()
-        t = mtext.Text(
-            x=1, y=0,
-            fontproperties=font_manager.FontProperties(size=self._labelsize),
-            color=self._labelcolor,
-            verticalalignment=vert,
-            horizontalalignment=horiz,
-            )
-        t.set_transform(trans)
-        self._set_artist_props(t)
-        return t
 
-    def _get_tick1line(self):
-        'Get the default line2D instance'
-        # x in axes coords, y in data coords
+class Ticker:
+    """
+    A container for the objects defining tick position and format.
+
+    Attributes
+    ----------
+    locator : `~matplotlib.ticker.Locator` subclass
+        Determines the positions of the ticks.
+    formatter : `~matplotlib.ticker.Formatter` subclass
+        Determines the format of the tick labels.
+    """
 
-        l = mlines.Line2D((0,), (0,),
-                          color=self._color,
-                          marker=self._tickmarkers[0],
-                          linestyle='None',
-                          markersize=self._size,
-                          markeredgewidth=self._width,
-                          zorder=self._zorder)
-        l.set_transform(self.axes.get_yaxis_transform(which='tick1'))
-        self._set_artist_props(l)
-        return l
-
-    def _get_tick2line(self):
-        'Get the default line2D instance'
-        # x in axes coords, y in data coords
-        l = mlines.Line2D((1,), (0,),
-                          color=self._color,
-                          marker=self._tickmarkers[1],
-                          linestyle='None',
-                          markersize=self._size,
-                          markeredgewidth=self._width,
-                          zorder=self._zorder)
-        l.set_transform(self.axes.get_yaxis_transform(which='tick2'))
-        self._set_artist_props(l)
-        return l
-
-    def _get_gridline(self):
-        'Get the default line2D instance'
-        # x in axes coords, y in data coords
-        l = mlines.Line2D(xdata=(0, 1), ydata=(0, 0),
-                          color=rcParams['grid.color'],
-                          linestyle=rcParams['grid.linestyle'],
-                          linewidth=rcParams['grid.linewidth'],
-                          alpha=rcParams['grid.alpha'],
-                          markersize=0)
-
-        l.set_transform(self.axes.get_yaxis_transform(which='grid'))
-        l.get_path()._interpolation_steps = GRIDLINE_INTERPOLATION_STEPS
-        self._set_artist_props(l)
-        return l
+    def __init__(self):
+        self._locator = None
+        self._formatter = None
+        self._locator_is_default = True
+        self._formatter_is_default = True
 
-    def update_position(self, loc):
-        'Set the location of tick in data coords with scalar loc'
-        y = loc
-
-        nonlinear = (hasattr(self.axes, 'yaxis') and
-                     self.axes.yaxis.get_scale() != 'linear' or
-                     hasattr(self.axes, 'xaxis') and
-                     self.axes.xaxis.get_scale() != 'linear')
-
-        if self.tick1On:
-            self.tick1line.set_ydata((y,))
-        if self.tick2On:
-            self.tick2line.set_ydata((y,))
-        if self.gridOn:
-            self.gridline.set_ydata((y, ))
-        if self.label1On:
-            self.label1.set_y(y)
-        if self.label2On:
-            self.label2.set_y(y)
-        if nonlinear:
-            self.tick1line._invalid = True
-            self.tick2line._invalid = True
-            self.gridline._invalid = True
+    @property
+    def locator(self):
+        return self._locator
 
-        self._loc = loc
+    @locator.setter
+    def locator(self, locator):
+        if not isinstance(locator, mticker.Locator):
+            raise TypeError('locator must be a subclass of '
+                            'matplotlib.ticker.Locator')
+        self._locator = locator
 
-    def get_view_interval(self):
-        'return the Interval instance for this axis view limits'
-        return self.axes.viewLim.intervaly
+    @property
+    def formatter(self):
+        return self._formatter
 
+    @formatter.setter
+    def formatter(self, formatter):
+        if not isinstance(formatter, mticker.Formatter):
+            raise TypeError('formatter must be a subclass of '
+                            'matplotlib.ticker.Formatter')
+        self._formatter = formatter
 
-class Ticker(object):
-    locator = None
-    formatter = None
 
+class _LazyTickList:
+    """
+    A descriptor for lazy instantiation of tick lists.
 
-class Axis(artist.Artist):
+    See comment above definition of the ``majorTicks`` and ``minorTicks``
+    attributes.
     """
-    Public attributes
 
-    * :attr:`axes.transData` - transform data coords to display coords
-    * :attr:`axes.transAxes` - transform axis coords to display coords
-    * :attr:`labelpad` - number of points between the axis and its label
+    def __init__(self, major):
+        self._major = major
+
+    def __get__(self, instance, owner):
+        if instance is None:
+            return self
+        else:
+            # instance._get_tick() can itself try to access the majorTicks
+            # attribute (e.g. in certain projection classes which override
+            # e.g. get_xaxis_text1_transform).  In order to avoid infinite
+            # recursion, first set the majorTicks on the instance temporarily
+            # to an empty list. Then create the tick; note that _get_tick()
+            # may call reset_ticks(). Therefore, the final tick list is
+            # created and assigned afterwards.
+            if self._major:
+                instance.majorTicks = []
+                tick = instance._get_tick(major=True)
+                instance.majorTicks = [tick]
+                return instance.majorTicks
+            else:
+                instance.minorTicks = []
+                tick = instance._get_tick(major=False)
+                instance.minorTicks = [tick]
+                return instance.minorTicks
+
+
+class Axis(martist.Artist):
+    """
+    Base class for `.XAxis` and `.YAxis`.
+
+    Attributes
+    ----------
+    isDefault_label : bool
+
+    axes : `~matplotlib.axes.Axes`
+        The `~.axes.Axes` to which the Axis belongs.
+    major : `~matplotlib.axis.Ticker`
+        Determines the major tick positions and their label format.
+    minor : `~matplotlib.axis.Ticker`
+        Determines the minor tick positions and their label format.
+    callbacks : `~matplotlib.cbook.CallbackRegistry`
+
+    label : `~matplotlib.text.Text`
+        The axis label.
+    labelpad : float
+        The distance between the axis label and the tick labels.
+        Defaults to :rc:`axes.labelpad`.
+    offsetText : `~matplotlib.text.Text`
+        A `.Text` object containing the data offset of the ticks (if any).
+    pickradius : float
+        The acceptance radius for containment tests. See also `.Axis.contains`.
+    majorTicks : list of `.Tick`
+        The major ticks.
+
+        .. warning::
+
+            Ticks are not guaranteed to be persistent. Various operations
+            can create, delete and modify the Tick instances. There is an
+            imminent risk that changes to individual ticks will not
+            survive if you work on the figure further (including also
+            panning/zooming on a displayed figure).
+
+            Working on the individual ticks is a method of last resort.
+            Use `.set_tick_params` instead if possible.
+
+    minorTicks : list of `.Tick`
+        The minor ticks.
     """
     OFFSETTEXTPAD = 3
+    # The class used in _get_tick() to create tick instances. Must either be
+    # overwritten in subclasses, or subclasses must reimplement _get_tick().
+    _tick_class = None
+    converter = _api.deprecate_privatize_attribute(
+                    "3.10",
+                    alternative="get_converter and set_converter methods"
+                )
 
     def __str__(self):
-        return self.__class__.__name__ \
-            + "(%f,%f)" % tuple(self.axes.transAxes.transform_point((0, 0)))
+        return "{}({},{})".format(
+            type(self).__name__, *self.axes.transAxes.transform((0, 0)))
 
-    def __init__(self, axes, pickradius=15):
+    def __init__(self, axes, *, pickradius=15, clear=True):
         """
-        Init the axis with the parent Axes instance
-        """
-        artist.Artist.__init__(self)
-        self.set_figure(axes.figure)
+        Parameters
+        ----------
+        axes : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` to which the created Axis belongs.
+        pickradius : float
+            The acceptance radius for containment tests. See also
+            `.Axis.contains`.
+        clear : bool, default: True
+            Whether to clear the Axis on creation. This is not required, e.g.,  when
+            creating an Axis as part of an Axes, as ``Axes.clear`` will call
+            ``Axis.clear``.
+            .. versionadded:: 3.8
+        """
+        super().__init__()
+        self._remove_overlapping_locs = True
+
+        self.set_figure(axes.get_figure(root=False))
 
-        # Keep track of setting to the default value, this allows use to know
-        # if any of the following values is explicitly set by the user, so as
-        # to not overwrite their settings with any of our 'auto' settings.
-        self.isDefault_majloc = True
-        self.isDefault_minloc = True
-        self.isDefault_majfmt = True
-        self.isDefault_minfmt = True
         self.isDefault_label = True
 
         self.axes = axes
         self.major = Ticker()
         self.minor = Ticker()
-        self.callbacks = cbook.CallbackRegistry()
+        self.callbacks = cbook.CallbackRegistry(signals=["units"])
 
         self._autolabelpos = True
-        self._smart_bounds = False
 
-        self.label = self._get_label()
-        self.labelpad = rcParams['axes.labelpad']
-        self.offsetText = self._get_offset_text()
-        self.majorTicks = []
-        self.minorTicks = []
+        self.label = mtext.Text(
+            np.nan, np.nan,
+            fontsize=mpl.rcParams['axes.labelsize'],
+            fontweight=mpl.rcParams['axes.labelweight'],
+            color=mpl.rcParams['axes.labelcolor'],
+        )  #: The `.Text` object of the axis label.
+
+        self._set_artist_props(self.label)
+        self.offsetText = mtext.Text(np.nan, np.nan)
+        self._set_artist_props(self.offsetText)
+
+        self.labelpad = mpl.rcParams['axes.labelpad']
+
         self.pickradius = pickradius
 
         # Initialize here for testing; later add API
         self._major_tick_kw = dict()
         self._minor_tick_kw = dict()
 
-        self.cla()
-        self._set_scale('linear')
+        if clear:
+            self.clear()
+        else:
+            self._converter = None
+            self._converter_is_explicit = False
+            self.units = None
+
+        self._autoscale_on = True
+
+    @property
+    def isDefault_majloc(self):
+        return self.major._locator_is_default
+
+    @isDefault_majloc.setter
+    def isDefault_majloc(self, value):
+        self.major._locator_is_default = value
+
+    @property
+    def isDefault_majfmt(self):
+        return self.major._formatter_is_default
+
+    @isDefault_majfmt.setter
+    def isDefault_majfmt(self, value):
+        self.major._formatter_is_default = value
+
+    @property
+    def isDefault_minloc(self):
+        return self.minor._locator_is_default
+
+    @isDefault_minloc.setter
+    def isDefault_minloc(self, value):
+        self.minor._locator_is_default = value
+
+    @property
+    def isDefault_minfmt(self):
+        return self.minor._formatter_is_default
+
+    @isDefault_minfmt.setter
+    def isDefault_minfmt(self, value):
+        self.minor._formatter_is_default = value
+
+    def _get_shared_axes(self):
+        """Return Grouper of shared Axes for current axis."""
+        return self.axes._shared_axes[
+            self._get_axis_name()].get_siblings(self.axes)
+
+    def _get_shared_axis(self):
+        """Return list of shared axis for current axis."""
+        name = self._get_axis_name()
+        return [ax._axis_map[name] for ax in self._get_shared_axes()]
+
+    def _get_axis_name(self):
+        """Return the axis name."""
+        return next(name for name, axis in self.axes._axis_map.items()
+                    if axis is self)
+
+    # During initialization, Axis objects often create ticks that are later
+    # unused; this turns out to be a very slow step.  Instead, use a custom
+    # descriptor to make the tick lists lazy and instantiate them as needed.
+    majorTicks = _LazyTickList(major=True)
+    minorTicks = _LazyTickList(major=False)
+
+    def get_remove_overlapping_locs(self):
+        return self._remove_overlapping_locs
+
+    def set_remove_overlapping_locs(self, val):
+        self._remove_overlapping_locs = bool(val)
+
+    remove_overlapping_locs = property(
+        get_remove_overlapping_locs, set_remove_overlapping_locs,
+        doc=('If minor ticker locations that overlap with major '
+             'ticker locations should be trimmed.'))
 
     def set_label_coords(self, x, y, transform=None):
         """
-        Set the coordinates of the label.  By default, the x
-        coordinate of the y label is determined by the tick label
-        bounding boxes, but this can lead to poor alignment of
-        multiple ylabels if there are multiple axes.  Ditto for the y
-        coodinate of the x label.
+        Set the coordinates of the label.
 
-        You can also specify the coordinate system of the label with
-        the transform.  If None, the default coordinate system will be
-        the axes coordinate system (0,0) is (left,bottom), (0.5, 0.5)
-        is middle, etc
+        By default, the x coordinate of the y label and the y coordinate of the
+        x label are determined by the tick label bounding boxes, but this can
+        lead to poor alignment of multiple labels if there are multiple Axes.
 
+        You can also specify the coordinate system of the label with the
+        transform.  If None, the default coordinate system will be the axes
+        coordinate system: (0, 0) is bottom left, (0.5, 0.5) is center, etc.
         """
-
         self._autolabelpos = False
         if transform is None:
             transform = self.axes.transAxes
 
         self.label.set_transform(transform)
         self.label.set_position((x, y))
+        self.stale = True
 
     def get_transform(self):
+        """Return the transform used in the Axis' scale"""
         return self._scale.get_transform()
 
     def get_scale(self):
+        """Return this Axis' scale (as a str)."""
         return self._scale.name
 
-    @cbook.deprecated('1.3')
-    def set_scale(self, value, **kwargs):
-        """
-        This should be a private function (moved to _set_scale)
-        """
-        self._set_scale(value, **kwargs)
-
     def _set_scale(self, value, **kwargs):
-        self._scale = mscale.scale_factory(value, self, **kwargs)
+        if not isinstance(value, mscale.ScaleBase):
+            self._scale = mscale.scale_factory(value, self, **kwargs)
+        else:
+            self._scale = value
         self._scale.set_default_locators_and_formatters(self)
 
         self.isDefault_majloc = True
@@ -691,177 +757,420 @@ def _set_scale(self, value, **kwargs):
         self.isDefault_majfmt = True
         self.isDefault_minfmt = True
 
+    # This method is directly wrapped by Axes.set_{x,y}scale.
+    def _set_axes_scale(self, value, **kwargs):
+        """
+        Set this Axis' scale.
+
+        Parameters
+        ----------
+        value : str or `.ScaleBase`
+            The axis scale type to apply.  Valid string values are the names of scale
+            classes ("linear", "log", "function",...).  These may be the names of any
+            of the :ref:`built-in scales<builtin_scales>` or of any custom scales
+            registered using `matplotlib.scale.register_scale`.
+
+        **kwargs
+            If *value* is a string, keywords are passed to the instantiation method of
+            the respective class.
+        """
+        name = self._get_axis_name()
+        old_default_lims = (self.get_major_locator()
+                            .nonsingular(-np.inf, np.inf))
+        for ax in self._get_shared_axes():
+            ax._axis_map[name]._set_scale(value, **kwargs)
+            ax._update_transScale()
+            ax.stale = True
+        new_default_lims = (self.get_major_locator()
+                            .nonsingular(-np.inf, np.inf))
+        if old_default_lims != new_default_lims:
+            # Force autoscaling now, to take advantage of the scale locator's
+            # nonsingular() before it possibly gets swapped out by the user.
+            self.axes.autoscale_view(
+                **{f"scale{k}": k == name for k in self.axes._axis_names})
+
     def limit_range_for_scale(self, vmin, vmax):
+        """
+        Return the range *vmin*, *vmax*, restricted to the domain supported by the
+        current scale.
+        """
         return self._scale.limit_range_for_scale(vmin, vmax, self.get_minpos())
 
+    def _get_autoscale_on(self):
+        """Return whether this Axis is autoscaled."""
+        return self._autoscale_on
+
+    def _set_autoscale_on(self, b):
+        """
+        Set whether this Axis is autoscaled when drawing or by `.Axes.autoscale_view`.
+
+        If b is None, then the value is not changed.
+
+        Parameters
+        ----------
+        b : bool
+        """
+        if b is not None:
+            self._autoscale_on = b
+
     def get_children(self):
-        children = [self.label, self.offsetText]
-        majorticks = self.get_major_ticks()
-        minorticks = self.get_minor_ticks()
+        return [self.label, self.offsetText,
+                *self.get_major_ticks(), *self.get_minor_ticks()]
 
-        children.extend(majorticks)
-        children.extend(minorticks)
-        return children
+    def _reset_major_tick_kw(self):
+        self._major_tick_kw.clear()
+        self._major_tick_kw['gridOn'] = (
+                mpl.rcParams['axes.grid'] and
+                mpl.rcParams['axes.grid.which'] in ('both', 'major'))
 
-    def cla(self):
-        'clear the current axis'
-        self.set_major_locator(mticker.AutoLocator())
-        self.set_major_formatter(mticker.ScalarFormatter())
-        self.set_minor_locator(mticker.NullLocator())
-        self.set_minor_formatter(mticker.NullFormatter())
+    def _reset_minor_tick_kw(self):
+        self._minor_tick_kw.clear()
+        self._minor_tick_kw['gridOn'] = (
+                mpl.rcParams['axes.grid'] and
+                mpl.rcParams['axes.grid.which'] in ('both', 'minor'))
 
-        self.set_label_text('')
-        self._set_artist_props(self.label)
+    def clear(self):
+        """
+        Clear the axis.
 
-        # Keep track of setting to the default value, this allows use to know
-        # if any of the following values is explicitly set by the user, so as
-        # to not overwrite their settings with any of our 'auto' settings.
-        self.isDefault_majloc = True
-        self.isDefault_minloc = True
-        self.isDefault_majfmt = True
-        self.isDefault_minfmt = True
-        self.isDefault_label = True
+        This resets axis properties to their default values:
 
-        # Clear the callback registry for this axis, or it may "leak"
-        self.callbacks = cbook.CallbackRegistry()
+        - the label
+        - the scale
+        - locators, formatters and ticks
+        - major and minor grid
+        - units
+        - registered callbacks
+        """
+        self.label._reset_visual_defaults()
+        # The above resets the label formatting using text rcParams,
+        # so we then update the formatting using axes rcParams
+        self.label.set_color(mpl.rcParams['axes.labelcolor'])
+        self.label.set_fontsize(mpl.rcParams['axes.labelsize'])
+        self.label.set_fontweight(mpl.rcParams['axes.labelweight'])
+        self.offsetText._reset_visual_defaults()
+        self.labelpad = mpl.rcParams['axes.labelpad']
 
-        # whether the grids are on
-        self._gridOnMajor = (rcParams['axes.grid'] and
-                             rcParams['axes.grid.which'] in ('both', 'major'))
-        self._gridOnMinor = (rcParams['axes.grid'] and
-                             rcParams['axes.grid.which'] in ('both', 'minor'))
+        self._init()
 
-        self.label.set_text('')
-        self._set_artist_props(self.label)
+        self._set_scale('linear')
 
+        # Clear the callback registry for this axis, or it may "leak"
+        self.callbacks = cbook.CallbackRegistry(signals=["units"])
+
+        # whether the grids are on
+        self._major_tick_kw['gridOn'] = (
+                mpl.rcParams['axes.grid'] and
+                mpl.rcParams['axes.grid.which'] in ('both', 'major'))
+        self._minor_tick_kw['gridOn'] = (
+                mpl.rcParams['axes.grid'] and
+                mpl.rcParams['axes.grid.which'] in ('both', 'minor'))
         self.reset_ticks()
 
-        self.converter = None
+        self._converter = None
+        self._converter_is_explicit = False
         self.units = None
-        self.set_units(None)
+        self.stale = True
 
     def reset_ticks(self):
-        # build a few default ticks; grow as necessary later; only
-        # define 1 so properties set on ticks will be copied as they
-        # grow
-        cbook.popall(self.majorTicks)
-        cbook.popall(self.minorTicks)
+        """
+        Re-initialize the major and minor Tick lists.
 
-        self.majorTicks.extend([self._get_tick(major=True)])
-        self.minorTicks.extend([self._get_tick(major=False)])
-        self._lastNumMajorTicks = 1
-        self._lastNumMinorTicks = 1
+        Each list starts with a single fresh Tick.
+        """
+        # Restore the lazy tick lists.
+        try:
+            del self.majorTicks
+        except AttributeError:
+            pass
+        try:
+            del self.minorTicks
+        except AttributeError:
+            pass
+        try:
+            self.set_clip_path(self.axes.patch)
+        except AttributeError:
+            pass
+
+    def minorticks_on(self):
+        """
+        Display default minor ticks on the Axis, depending on the scale
+        (`~.axis.Axis.get_scale`).
+
+        Scales use specific minor locators:
+
+        - log: `~.LogLocator`
+        - symlog: `~.SymmetricalLogLocator`
+        - asinh: `~.AsinhLocator`
+        - logit: `~.LogitLocator`
+        - default: `~.AutoMinorLocator`
+
+        Displaying minor ticks may reduce performance; you may turn them off
+        using `minorticks_off()` if drawing speed is a problem.
+        """
+        scale = self.get_scale()
+        if scale == 'log':
+            s = self._scale
+            self.set_minor_locator(mticker.LogLocator(s.base, s.subs))
+        elif scale == 'symlog':
+            s = self._scale
+            self.set_minor_locator(
+                mticker.SymmetricalLogLocator(s._transform, s.subs))
+        elif scale == 'asinh':
+            s = self._scale
+            self.set_minor_locator(
+                    mticker.AsinhLocator(s.linear_width, base=s._base,
+                                         subs=s._subs))
+        elif scale == 'logit':
+            self.set_minor_locator(mticker.LogitLocator(minor=True))
+        else:
+            self.set_minor_locator(mticker.AutoMinorLocator())
+
+    def minorticks_off(self):
+        """Remove minor ticks from the Axis."""
+        self.set_minor_locator(mticker.NullLocator())
 
-    def set_tick_params(self, which='major', reset=False, **kw):
+    def set_tick_params(self, which='major', reset=False, **kwargs):
         """
-        Set appearance parameters for ticks and ticklabels.
+        Set appearance parameters for ticks, ticklabels, and gridlines.
 
         For documentation of keyword arguments, see
         :meth:`matplotlib.axes.Axes.tick_params`.
+
+        See Also
+        --------
+        .Axis.get_tick_params
+            View the current style settings for ticks, ticklabels, and
+            gridlines.
         """
-        dicts = []
-        if which == 'major' or which == 'both':
-            dicts.append(self._major_tick_kw)
-        if which == 'minor' or which == 'both':
-            dicts.append(self._minor_tick_kw)
-        kwtrans = self._translate_tick_kw(kw, to_init_kw=True)
-        for d in dicts:
-            if reset:
-                d.clear()
-            d.update(kwtrans)
+        _api.check_in_list(['major', 'minor', 'both'], which=which)
+        kwtrans = self._translate_tick_params(kwargs)
+
+        # the kwargs are stored in self._major/minor_tick_kw so that any
+        # future new ticks will automatically get them
         if reset:
+            if which in ['major', 'both']:
+                self._reset_major_tick_kw()
+                self._major_tick_kw.update(kwtrans)
+            if which in ['minor', 'both']:
+                self._reset_minor_tick_kw()
+                self._minor_tick_kw.update(kwtrans)
             self.reset_ticks()
         else:
-            if which == 'major' or which == 'both':
+            if which in ['major', 'both']:
+                self._major_tick_kw.update(kwtrans)
                 for tick in self.majorTicks:
-                    tick._apply_params(**self._major_tick_kw)
-            if which == 'minor' or which == 'both':
+                    tick._apply_params(**kwtrans)
+            if which in ['minor', 'both']:
+                self._minor_tick_kw.update(kwtrans)
                 for tick in self.minorTicks:
-                    tick._apply_params(**self._minor_tick_kw)
+                    tick._apply_params(**kwtrans)
+            # labelOn and labelcolor also apply to the offset text.
+            if 'label1On' in kwtrans or 'label2On' in kwtrans:
+                self.offsetText.set_visible(
+                    self._major_tick_kw.get('label1On', False)
+                    or self._major_tick_kw.get('label2On', False))
+            if 'labelcolor' in kwtrans:
+                self.offsetText.set_color(kwtrans['labelcolor'])
 
-    @staticmethod
-    def _translate_tick_kw(kw, to_init_kw=True):
-        # We may want to move the following function to
-        # a more visible location; or maybe there already
-        # is something like this.
-        def _bool(arg):
-            if cbook.is_string_like(arg):
-                if arg.lower() == 'on':
-                    return True
-                if arg.lower() == 'off':
-                    return False
-                raise ValueError('String "%s" should be "on" or "off"' % arg)
-            return bool(arg)
-        # The following lists may be moved to a more
-        # accessible location.
-        kwkeys0 = ['size', 'width', 'color', 'tickdir', 'pad',
-                   'labelsize', 'labelcolor', 'zorder', 'gridOn',
-                   'tick1On', 'tick2On', 'label1On', 'label2On']
-        kwkeys1 = ['length', 'direction', 'left', 'bottom', 'right', 'top',
-                   'labelleft', 'labelbottom', 'labelright', 'labeltop']
-        kwkeys = kwkeys0 + kwkeys1
-        kwtrans = dict()
-        if to_init_kw:
-            if 'length' in kw:
-                kwtrans['size'] = kw.pop('length')
-            if 'direction' in kw:
-                kwtrans['tickdir'] = kw.pop('direction')
-            if 'left' in kw:
-                kwtrans['tick1On'] = _bool(kw.pop('left'))
-            if 'bottom' in kw:
-                kwtrans['tick1On'] = _bool(kw.pop('bottom'))
-            if 'right' in kw:
-                kwtrans['tick2On'] = _bool(kw.pop('right'))
-            if 'top' in kw:
-                kwtrans['tick2On'] = _bool(kw.pop('top'))
-
-            if 'labelleft' in kw:
-                kwtrans['label1On'] = _bool(kw.pop('labelleft'))
-            if 'labelbottom' in kw:
-                kwtrans['label1On'] = _bool(kw.pop('labelbottom'))
-            if 'labelright' in kw:
-                kwtrans['label2On'] = _bool(kw.pop('labelright'))
-            if 'labeltop' in kw:
-                kwtrans['label2On'] = _bool(kw.pop('labeltop'))
-            if 'colors' in kw:
-                c = kw.pop('colors')
-                kwtrans['color'] = c
-                kwtrans['labelcolor'] = c
-            # Maybe move the checking up to the caller of this method.
-            for key in kw:
-                if key not in kwkeys:
-                    raise ValueError(
-                        "keyword %s is not recognized; valid keywords are %s"
-                        % (key, kwkeys))
-            kwtrans.update(kw)
+        self.stale = True
+
+    def get_tick_params(self, which='major'):
+        """
+        Get appearance parameters for ticks, ticklabels, and gridlines.
+
+        .. versionadded:: 3.7
+
+        Parameters
+        ----------
+        which : {'major', 'minor'}, default: 'major'
+            The group of ticks for which the parameters are retrieved.
+
+        Returns
+        -------
+        dict
+            Properties for styling tick elements added to the axis.
+
+        Notes
+        -----
+        This method returns the appearance parameters for styling *new*
+        elements added to this axis and may be different from the values
+        on current elements if they were modified directly by the user
+        (e.g., via ``set_*`` methods on individual tick objects).
+
+        Examples
+        --------
+        ::
+
+            >>> ax.yaxis.set_tick_params(labelsize=30, labelcolor='red',
+            ...                          direction='out', which='major')
+            >>> ax.yaxis.get_tick_params(which='major')
+            {'direction': 'out',
+            'left': True,
+            'right': False,
+            'labelleft': True,
+            'labelright': False,
+            'gridOn': False,
+            'labelsize': 30,
+            'labelcolor': 'red'}
+            >>> ax.yaxis.get_tick_params(which='minor')
+            {'left': True,
+            'right': False,
+            'labelleft': True,
+            'labelright': False,
+            'gridOn': False}
+
+
+        """
+        _api.check_in_list(['major', 'minor'], which=which)
+        if which == 'major':
+            return self._translate_tick_params(
+                self._major_tick_kw, reverse=True
+            )
+        return self._translate_tick_params(self._minor_tick_kw, reverse=True)
+
+    @classmethod
+    def _translate_tick_params(cls, kw, reverse=False):
+        """
+        Translate the kwargs supported by `.Axis.set_tick_params` to kwargs
+        supported by `.Tick._apply_params`.
+
+        In particular, this maps axis specific names like 'top', 'left'
+        to the generic tick1, tick2 logic of the axis. Additionally, there
+        are some other name translations.
+
+        Returns a new dict of translated kwargs.
+
+        Note: Use reverse=True to translate from those supported by
+        `.Tick._apply_params` back to those supported by
+        `.Axis.set_tick_params`.
+        """
+        kw_ = {**kw}
+
+        # The following lists may be moved to a more accessible location.
+        allowed_keys = [
+            'size', 'width', 'color', 'tickdir', 'pad',
+            'labelsize', 'labelcolor', 'labelfontfamily', 'zorder', 'gridOn',
+            'tick1On', 'tick2On', 'label1On', 'label2On',
+            'length', 'direction', 'left', 'bottom', 'right', 'top',
+            'labelleft', 'labelbottom', 'labelright', 'labeltop',
+            'labelrotation', 'labelrotation_mode',
+            *_gridline_param_names]
+
+        keymap = {
+            # tick_params key -> axis key
+            'length': 'size',
+            'direction': 'tickdir',
+            'rotation': 'labelrotation',
+            'rotation_mode': 'labelrotation_mode',
+            'left': 'tick1On',
+            'bottom': 'tick1On',
+            'right': 'tick2On',
+            'top': 'tick2On',
+            'labelleft': 'label1On',
+            'labelbottom': 'label1On',
+            'labelright': 'label2On',
+            'labeltop': 'label2On',
+        }
+        if reverse:
+            kwtrans = {}
+            is_x_axis = cls.axis_name == 'x'
+            y_axis_keys = ['left', 'right', 'labelleft', 'labelright']
+            for oldkey, newkey in keymap.items():
+                if newkey in kw_:
+                    if is_x_axis and oldkey in y_axis_keys:
+                        continue
+                    else:
+                        kwtrans[oldkey] = kw_.pop(newkey)
         else:
-            raise NotImplementedError("Inverse translation is deferred")
+            kwtrans = {
+                newkey: kw_.pop(oldkey)
+                for oldkey, newkey in keymap.items() if oldkey in kw_
+            }
+        if 'colors' in kw_:
+            c = kw_.pop('colors')
+            kwtrans['color'] = c
+            kwtrans['labelcolor'] = c
+        # Maybe move the checking up to the caller of this method.
+        for key in kw_:
+            if key not in allowed_keys:
+                raise ValueError(
+                    "keyword %s is not recognized; valid keywords are %s"
+                    % (key, allowed_keys))
+        kwtrans.update(kw_)
         return kwtrans
 
-    def set_clip_path(self, clippath, transform=None):
-        artist.Artist.set_clip_path(self, clippath, transform)
+    def set_clip_path(self, path, transform=None):
+        super().set_clip_path(path, transform)
         for child in self.majorTicks + self.minorTicks:
-            child.set_clip_path(clippath, transform)
+            child.set_clip_path(path, transform)
+        self.stale = True
 
     def get_view_interval(self):
-        'return the Interval instance for this axis view limits'
+        """Return the ``(min, max)`` view limits of this axis."""
         raise NotImplementedError('Derived must override')
 
     def set_view_interval(self, vmin, vmax, ignore=False):
+        """
+        Set the axis view limits.  This method is for internal use; Matplotlib
+        users should typically use e.g. `~.Axes.set_xlim` or `~.Axes.set_ylim`.
+
+        If *ignore* is False (the default), this method will never reduce the
+        preexisting view limits, only expand them if *vmin* or *vmax* are not
+        within them.  Moreover, the order of *vmin* and *vmax* does not matter;
+        the orientation of the axis will not change.
+
+        If *ignore* is True, the view limits will be set exactly to ``(vmin,
+        vmax)`` in that order.
+        """
         raise NotImplementedError('Derived must override')
 
     def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
+        """Return the ``(min, max)`` data limits of this axis."""
         raise NotImplementedError('Derived must override')
 
-    def set_data_interval(self):
-        '''set the axis data limits'''
+    def set_data_interval(self, vmin, vmax, ignore=False):
+        """
+        Set the axis data limits.  This method is for internal use.
+
+        If *ignore* is False (the default), this method will never reduce the
+        preexisting data limits, only expand them if *vmin* or *vmax* are not
+        within them.  Moreover, the order of *vmin* and *vmax* does not matter;
+        the orientation of the axis will not change.
+
+        If *ignore* is True, the data limits will be set exactly to ``(vmin,
+        vmax)`` in that order.
+        """
         raise NotImplementedError('Derived must override')
 
-    def set_default_intervals(self):
-        '''set the default limits for the axis data and view interval if they
-        are not mutated'''
+    def get_inverted(self):
+        """
+        Return whether this Axis is oriented in the "inverse" direction.
 
+        The "normal" direction is increasing to the right for the x-axis and to
+        the top for the y-axis; the "inverse" direction is increasing to the
+        left for the x-axis and to the bottom for the y-axis.
+        """
+        low, high = self.get_view_interval()
+        return high < low
+
+    def set_inverted(self, inverted):
+        """
+        Set whether this Axis is oriented in the "inverse" direction.
+
+        The "normal" direction is increasing to the right for the x-axis and to
+        the top for the y-axis; the "inverse" direction is increasing to the
+        left for the x-axis and to the bottom for the y-axis.
+        """
+        a, b = self.get_view_interval()
+        # cast to bool to avoid bad interaction between python 3.8 and np.bool_
+        self._set_lim(*sorted((a, b), reverse=bool(inverted)), auto=None)
+
+    def set_default_intervals(self):
+        """
+        Set the default limits for the axis data and view interval if they
+        have not been not mutated yet.
+        """
         # this is mainly in support of custom object plotting.  For
         # example, if someone passes in a datetime object, we do not
         # know automagically how to set the default min/max of the
@@ -869,319 +1178,299 @@ def set_default_intervals(self):
         # interface provides a hook for custom types to register
         # default limits through the AxisInfo.default_limits
         # attribute, and the derived code below will check for that
-        # and use it if is available (else just use 0..1)
-        pass
+        # and use it if it's available (else just use 0..1)
+
+    def _set_lim(self, v0, v1, *, emit=True, auto):
+        """
+        Set view limits.
+
+        This method is a helper for the Axes ``set_xlim``, ``set_ylim``, and
+        ``set_zlim`` methods.
+
+        Parameters
+        ----------
+        v0, v1 : float
+            The view limits.  (Passing *v0* as a (low, high) pair is not
+            supported; normalization must occur in the Axes setters.)
+        emit : bool, default: True
+            Whether to notify observers of limit change.
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the x-axis. True turns on, False
+            turns off, None leaves unchanged.
+        """
+        name = self._get_axis_name()
+
+        self.axes._process_unit_info([(name, (v0, v1))], convert=False)
+        v0 = self.axes._validate_converted_limits(v0, self.convert_units)
+        v1 = self.axes._validate_converted_limits(v1, self.convert_units)
+
+        if v0 is None or v1 is None:
+            # Axes init calls set_xlim(0, 1) before get_xlim() can be called,
+            # so only grab the limits if we really need them.
+            old0, old1 = self.get_view_interval()
+            if v0 is None:
+                v0 = old0
+            if v1 is None:
+                v1 = old1
+
+        if self.get_scale() == 'log' and (v0 <= 0 or v1 <= 0):
+            # Axes init calls set_xlim(0, 1) before get_xlim() can be called,
+            # so only grab the limits if we really need them.
+            old0, old1 = self.get_view_interval()
+            if v0 <= 0:
+                _api.warn_external(f"Attempt to set non-positive {name}lim on "
+                                   f"a log-scaled axis will be ignored.")
+                v0 = old0
+            if v1 <= 0:
+                _api.warn_external(f"Attempt to set non-positive {name}lim on "
+                                   f"a log-scaled axis will be ignored.")
+                v1 = old1
+        if v0 == v1:
+            _api.warn_external(
+                f"Attempting to set identical low and high {name}lims "
+                f"makes transformation singular; automatically expanding.")
+        reverse = bool(v0 > v1)  # explicit cast needed for python3.8+np.bool_.
+        v0, v1 = self.get_major_locator().nonsingular(v0, v1)
+        v0, v1 = self.limit_range_for_scale(v0, v1)
+        v0, v1 = sorted([v0, v1], reverse=bool(reverse))
+
+        self.set_view_interval(v0, v1, ignore=True)
+        # Mark viewlims as no longer stale without triggering an autoscale.
+        for ax in self._get_shared_axes():
+            ax._stale_viewlims[name] = False
+        self._set_autoscale_on(auto)
+
+        if emit:
+            self.axes.callbacks.process(f"{name}lim_changed", self.axes)
+            # Call all of the other Axes that are shared with this one
+            for other in self._get_shared_axes():
+                if other is self.axes:
+                    continue
+                other._axis_map[name]._set_lim(v0, v1, emit=False, auto=auto)
+                if emit:
+                    other.callbacks.process(f"{name}lim_changed", other)
+                if ((other_fig := other.get_figure(root=False)) !=
+                        self.get_figure(root=False)):
+                    other_fig.canvas.draw_idle()
+
+        self.stale = True
+        return v0, v1
 
     def _set_artist_props(self, a):
         if a is None:
             return
-        a.set_figure(self.figure)
+        a.set_figure(self.get_figure(root=False))
 
-    def iter_ticks(self):
+    def _update_ticks(self):
         """
-        Iterate through all of the major and minor ticks.
+        Update ticks (position and labels) using the current data interval of
+        the axes.  Return the list of ticks that will be drawn.
         """
-        majorLocs = self.major.locator()
-        majorTicks = self.get_major_ticks(len(majorLocs))
-        self.major.formatter.set_locs(majorLocs)
-        majorLabels = [self.major.formatter(val, i)
-                       for i, val in enumerate(majorLocs)]
+        major_locs = self.get_majorticklocs()
+        major_labels = self.major.formatter.format_ticks(major_locs)
+        major_ticks = self.get_major_ticks(len(major_locs))
+        for tick, loc, label in zip(major_ticks, major_locs, major_labels):
+            tick.update_position(loc)
+            tick.label1.set_text(label)
+            tick.label2.set_text(label)
+        minor_locs = self.get_minorticklocs()
+        minor_labels = self.minor.formatter.format_ticks(minor_locs)
+        minor_ticks = self.get_minor_ticks(len(minor_locs))
+        for tick, loc, label in zip(minor_ticks, minor_locs, minor_labels):
+            tick.update_position(loc)
+            tick.label1.set_text(label)
+            tick.label2.set_text(label)
+        ticks = [*major_ticks, *minor_ticks]
+
+        view_low, view_high = self.get_view_interval()
+        if view_low > view_high:
+            view_low, view_high = view_high, view_low
+
+        if (hasattr(self, "axes") and self.axes.name == '3d'
+                and mpl.rcParams['axes3d.automargin']):
+            # In mpl3.8, the margin was 1/48. Due to the change in automargin
+            # behavior in mpl3.9, we need to adjust this to compensate for a
+            # zoom factor of 2/48, giving us a 23/24 modifier. So the new
+            # margin is 0.019965277777777776 = 1/48*23/24.
+            margin = 0.019965277777777776
+            delta = view_high - view_low
+            view_high = view_high - delta * margin
+            view_low = view_low + delta * margin
+
+        interval_t = self.get_transform().transform([view_low, view_high])
 
-        minorLocs = self.minor.locator()
-        minorTicks = self.get_minor_ticks(len(minorLocs))
-        self.minor.formatter.set_locs(minorLocs)
-        minorLabels = [self.minor.formatter(val, i)
-                       for i, val in enumerate(minorLocs)]
+        ticks_to_draw = []
+        for tick in ticks:
+            try:
+                loc_t = self.get_transform().transform(tick.get_loc())
+            except AssertionError:
+                # transforms.transform doesn't allow masked values but
+                # some scales might make them, so we need this try/except.
+                pass
+            else:
+                if mtransforms._interval_contains_close(interval_t, loc_t):
+                    ticks_to_draw.append(tick)
 
-        major_minor = [
-            (majorTicks, majorLocs, majorLabels),
-            (minorTicks, minorLocs, minorLabels)]
+        return ticks_to_draw
 
-        for group in major_minor:
-            for tick in zip(*group):
-                yield tick
+    def _get_ticklabel_bboxes(self, ticks, renderer=None):
+        """Return lists of bboxes for ticks' label1's and label2's."""
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        return ([tick.label1.get_window_extent(renderer)
+                 for tick in ticks if tick.label1.get_visible()],
+                [tick.label2.get_window_extent(renderer)
+                 for tick in ticks if tick.label2.get_visible()])
 
-    def get_ticklabel_extents(self, renderer):
-        """
-        Get the extents of the tick labels on either side
-        of the axes.
-        """
-
-        ticks_to_draw = self._update_ticks(renderer)
-        ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
-                                                                renderer)
-
-        if len(ticklabelBoxes):
-            bbox = mtransforms.Bbox.union(ticklabelBoxes)
-        else:
-            bbox = mtransforms.Bbox.from_extents(0, 0, 0, 0)
-        if len(ticklabelBoxes2):
-            bbox2 = mtransforms.Bbox.union(ticklabelBoxes2)
-        else:
-            bbox2 = mtransforms.Bbox.from_extents(0, 0, 0, 0)
-        return bbox, bbox2
-
-    def set_smart_bounds(self, value):
-        """set the axis to have smart bounds"""
-        self._smart_bounds = value
-
-    def get_smart_bounds(self):
-        """get whether the axis has smart bounds"""
-        return self._smart_bounds
-
-    def _update_ticks(self, renderer):
-        """
-        Update ticks (position and labels) using the current data
-        interval of the axes. Returns a list of ticks that will be
-        drawn.
-        """
-
-        interval = self.get_view_interval()
-        tick_tups = [t for t in self.iter_ticks()]
-        if self._smart_bounds:
-            # handle inverted limits
-            view_low, view_high = min(*interval), max(*interval)
-            data_low, data_high = self.get_data_interval()
-            if data_low > data_high:
-                data_low, data_high = data_high, data_low
-            locs = [ti[1] for ti in tick_tups]
-            locs.sort()
-            locs = np.array(locs)
-            if len(locs):
-                if data_low <= view_low:
-                    # data extends beyond view, take view as limit
-                    ilow = view_low
-                else:
-                    # data stops within view, take best tick
-                    cond = locs <= data_low
-                    good_locs = locs[cond]
-                    if len(good_locs) > 0:
-                        # last tick prior or equal to first data point
-                        ilow = good_locs[-1]
-                    else:
-                        # No ticks (why not?), take first tick
-                        ilow = locs[0]
-                if data_high >= view_high:
-                    # data extends beyond view, take view as limit
-                    ihigh = view_high
-                else:
-                    # data stops within view, take best tick
-                    cond = locs >= data_high
-                    good_locs = locs[cond]
-                    if len(good_locs) > 0:
-                        # first tick after or equal to last data point
-                        ihigh = good_locs[0]
-                    else:
-                        # No ticks (why not?), take last tick
-                        ihigh = locs[-1]
-                tick_tups = [ti for ti in tick_tups
-                             if (ti[1] >= ilow) and (ti[1] <= ihigh)]
-
-        # so that we don't lose ticks on the end, expand out the interval ever
-        # so slightly.  The "ever so slightly" is defined to be the width of a
-        # half of a pixel.  We don't want to draw a tick that even one pixel
-        # outside of the defined axis interval.
-        if interval[0] <= interval[1]:
-            interval_expanded = interval
-        else:
-            interval_expanded = interval[1], interval[0]
-
-        if hasattr(self, '_get_pixel_distance_along_axis'):
-            # normally, one does not want to catch all exceptions that
-            # could possibly happen, but it is not clear exactly what
-            # exceptions might arise from a user's projection (their
-            # rendition of the Axis object).  So, we catch all, with
-            # the idea that one would rather potentially lose a tick
-            # from one side of the axis or another, rather than see a
-            # stack trace.
-            # We also catch users warnings here. These are the result of
-            # invalid numpy calculations that may be the result of out of
-            # bounds on axis with finite allowed intervals such as geo
-            # projections i.e. Mollweide.
-            with np.errstate(invalid='ignore'):
-                try:
-                    ds1 = self._get_pixel_distance_along_axis(
-                        interval_expanded[0], -0.5)
-                except:
-                    warnings.warn("Unable to find pixel distance along axis for\
-                    interval padding of ticks; assuming no interval padding\
-                    needed.")
-                    ds1 = 0.0
-                if np.isnan(ds1):
-                    ds1 = 0.0
-                try:
-                    ds2 = self._get_pixel_distance_along_axis(
-                        interval_expanded[1], +0.5)
-                except:
-                    warnings.warn("Unable to find pixel distance along axis for\
-                    interval padding of ticks; assuming no interval padding\
-                    needed.")
-                    ds2 = 0.0
-                if np.isnan(ds2):
-                    ds2 = 0.0
-            interval_expanded = (interval_expanded[0] - ds1,
-                                 interval_expanded[1] + ds2)
-
-        ticks_to_draw = []
-        for tick, loc, label in tick_tups:
-            if tick is None:
-                continue
-            if not mtransforms.interval_contains(interval_expanded, loc):
-                continue
-            tick.update_position(loc)
-            tick.set_label1(label)
-            tick.set_label2(label)
-            ticks_to_draw.append(tick)
-
-        return ticks_to_draw
-
-    def _get_tick_bboxes(self, ticks, renderer):
-        """
-        Given the list of ticks, return two lists of bboxes. One for
-        tick lable1's and another for tick label2's.
-        """
-
-        ticklabelBoxes = []
-        ticklabelBoxes2 = []
-
-        for tick in ticks:
-            if tick.label1On and tick.label1.get_visible():
-                extent = tick.label1.get_window_extent(renderer)
-                ticklabelBoxes.append(extent)
-            if tick.label2On and tick.label2.get_visible():
-                extent = tick.label2.get_window_extent(renderer)
-                ticklabelBoxes2.append(extent)
-        return ticklabelBoxes, ticklabelBoxes2
-
-    def get_tightbbox(self, renderer):
+    def get_tightbbox(self, renderer=None, *, for_layout_only=False):
         """
         Return a bounding box that encloses the axis. It only accounts
         tick labels, axis label, and offsetText.
+
+        If *for_layout_only* is True, then the width of the label (if this
+        is an x-axis) or the height of the label (if this is a y-axis) is
+        collapsed to near zero.  This allows tight/constrained_layout to ignore
+        too-long labels when doing their layout.
         """
-        if not self.get_visible():
+        if not self.get_visible() or for_layout_only and not self.get_in_layout():
             return
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        ticks_to_draw = self._update_ticks()
 
-        ticks_to_draw = self._update_ticks(renderer)
-        ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
-                                                                renderer)
+        self._update_label_position(renderer)
 
-        self._update_label_position(ticklabelBoxes, ticklabelBoxes2)
+        # go back to just this axis's tick labels
+        tlb1, tlb2 = self._get_ticklabel_bboxes(ticks_to_draw, renderer)
 
-        self._update_offset_text_position(ticklabelBoxes, ticklabelBoxes2)
+        self._update_offset_text_position(tlb1, tlb2)
         self.offsetText.set_text(self.major.formatter.get_offset())
 
-        bb = []
-
-        for a in [self.label, self.offsetText]:
-            if a.get_visible():
-                bb.append(a.get_window_extent(renderer))
-
-        bb.extend(ticklabelBoxes)
-        bb.extend(ticklabelBoxes2)
-
-        bb = [b for b in bb if b.width != 0 or b.height != 0]
-        if bb:
-            _bbox = mtransforms.Bbox.union(bb)
-            return _bbox
+        bboxes = [
+            *(a.get_window_extent(renderer)
+              for a in [self.offsetText]
+              if a.get_visible()),
+            *tlb1, *tlb2,
+        ]
+        # take care of label
+        if self.label.get_visible():
+            bb = self.label.get_window_extent(renderer)
+            # for constrained/tight_layout, we want to ignore the label's
+            # width/height because the adjustments they make can't be improved.
+            # this code collapses the relevant direction
+            if for_layout_only:
+                if self.axis_name == "x" and bb.width > 0:
+                    bb.x0 = (bb.x0 + bb.x1) / 2 - 0.5
+                    bb.x1 = bb.x0 + 1.0
+                if self.axis_name == "y" and bb.height > 0:
+                    bb.y0 = (bb.y0 + bb.y1) / 2 - 0.5
+                    bb.y1 = bb.y0 + 1.0
+            bboxes.append(bb)
+        bboxes = [b for b in bboxes
+                  if 0 < b.width < np.inf and 0 < b.height < np.inf]
+        if bboxes:
+            return mtransforms.Bbox.union(bboxes)
         else:
             return None
 
-    @allow_rasterization
-    def draw(self, renderer, *args, **kwargs):
-        'Draw the axis lines, grid lines, tick lines and labels'
+    def get_tick_padding(self):
+        values = []
+        if len(self.majorTicks):
+            values.append(self.majorTicks[0].get_tick_padding())
+        if len(self.minorTicks):
+            values.append(self.minorTicks[0].get_tick_padding())
+        return max(values, default=0)
+
+    @martist.allow_rasterization
+    def draw(self, renderer):
+        # docstring inherited
 
         if not self.get_visible():
             return
-        renderer.open_group(__name__)
+        renderer.open_group(__name__, gid=self.get_gid())
 
-        ticks_to_draw = self._update_ticks(renderer)
-        ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
-                                                                renderer)
+        ticks_to_draw = self._update_ticks()
+        tlb1, tlb2 = self._get_ticklabel_bboxes(ticks_to_draw, renderer)
 
         for tick in ticks_to_draw:
             tick.draw(renderer)
 
-        # scale up the axis label box to also find the neighbors, not
-        # just the tick labels that actually overlap note we need a
-        # *copy* of the axis label box because we don't wan't to scale
-        # the actual bbox
-
-        self._update_label_position(ticklabelBoxes, ticklabelBoxes2)
-
+        # Shift label away from axes to avoid overlapping ticklabels.
+        self._update_label_position(renderer)
         self.label.draw(renderer)
 
-        self._update_offset_text_position(ticklabelBoxes, ticklabelBoxes2)
+        self._update_offset_text_position(tlb1, tlb2)
         self.offsetText.set_text(self.major.formatter.get_offset())
         self.offsetText.draw(renderer)
 
-        if 0:  # draw the bounding boxes around the text for debug
-            for tick in self.majorTicks:
-                label = tick.label1
-                mpatches.bbox_artist(label, renderer)
-            mpatches.bbox_artist(self.label, renderer)
-
         renderer.close_group(__name__)
-
-    def _get_label(self):
-        raise NotImplementedError('Derived must override')
-
-    def _get_offset_text(self):
-        raise NotImplementedError('Derived must override')
+        self.stale = False
 
     def get_gridlines(self):
-        'Return the grid lines as a list of Line2D instance'
+        r"""Return this Axis' grid lines as a list of `.Line2D`\s."""
         ticks = self.get_major_ticks()
         return cbook.silent_list('Line2D gridline',
                                  [tick.gridline for tick in ticks])
 
+    def set_label(self, s):
+        """Assigning legend labels is not supported. Raises RuntimeError."""
+        raise RuntimeError(
+            "A legend label cannot be assigned to an Axis. Did you mean to "
+            "set the axis label via set_label_text()?")
+
     def get_label(self):
-        'Return the axis label as a Text instance'
+        """
+        [*Discouraged*] Return the axis label as a Text instance.
+
+        .. admonition:: Discouraged
+
+           This overrides `.Artist.get_label`, which is for legend labels, with a new
+           semantic. It is recommended to use the attribute ``Axis.label`` instead.
+        """
         return self.label
 
     def get_offset_text(self):
-        'Return the axis offsetText as a Text instance'
+        """Return the axis offsetText as a Text instance."""
         return self.offsetText
 
     def get_pickradius(self):
-        'Return the depth of the axis used by the picker'
-        return self.pickradius
+        """Return the depth of the axis used by the picker."""
+        return self._pickradius
 
     def get_majorticklabels(self):
-        'Return a list of Text instances for the major ticklabels'
+        """Return this Axis' major tick labels, as a list of `~.text.Text`."""
+        self._update_ticks()
         ticks = self.get_major_ticks()
-        labels1 = [tick.label1 for tick in ticks if tick.label1On]
-        labels2 = [tick.label2 for tick in ticks if tick.label2On]
-        return cbook.silent_list('Text major ticklabel', labels1 + labels2)
+        labels1 = [tick.label1 for tick in ticks if tick.label1.get_visible()]
+        labels2 = [tick.label2 for tick in ticks if tick.label2.get_visible()]
+        return labels1 + labels2
 
     def get_minorticklabels(self):
-        'Return a list of Text instances for the minor ticklabels'
+        """Return this Axis' minor tick labels, as a list of `~.text.Text`."""
+        self._update_ticks()
         ticks = self.get_minor_ticks()
-        labels1 = [tick.label1 for tick in ticks if tick.label1On]
-        labels2 = [tick.label2 for tick in ticks if tick.label2On]
-        return cbook.silent_list('Text minor ticklabel', labels1 + labels2)
+        labels1 = [tick.label1 for tick in ticks if tick.label1.get_visible()]
+        labels2 = [tick.label2 for tick in ticks if tick.label2.get_visible()]
+        return labels1 + labels2
 
     def get_ticklabels(self, minor=False, which=None):
         """
-        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
-        instances.
+        Get this Axis' tick labels.
 
         Parameters
         ----------
         minor : bool
-           If True return the minor ticklabels,
-           else return the major ticklabels
+           Whether to return the minor or the major ticklabels.
 
         which : None, ('minor', 'major', 'both')
-           Overrides `minor`.
+           Overrides *minor*.
 
            Selects which ticklabels to return
 
         Returns
         -------
-        ret : list
-           List of :class:`~matplotlib.text.Text` instances.
+        list of `~matplotlib.text.Text`
         """
-
         if which is not None:
             if which == 'minor':
                 return self.get_minorticklabels()
@@ -1190,14 +1479,13 @@ def get_ticklabels(self, minor=False, which=None):
             elif which == 'both':
                 return self.get_majorticklabels() + self.get_minorticklabels()
             else:
-                raise ValueError("`which` must be one of ('minor', 'major', "
-                                 "'both') not " + str(which))
+                _api.check_in_list(['major', 'minor', 'both'], which=which)
         if minor:
             return self.get_minorticklabels()
         return self.get_majorticklabels()
 
     def get_majorticklines(self):
-        'Return the major tick lines as a list of Line2D instances'
+        r"""Return this Axis' major tick lines as a list of `.Line2D`\s."""
         lines = []
         ticks = self.get_major_ticks()
         for tick in ticks:
@@ -1206,7 +1494,7 @@ def get_majorticklines(self):
         return cbook.silent_list('Line2D ticklines', lines)
 
     def get_minorticklines(self):
-        'Return the minor tick lines as a list of Line2D instances'
+        r"""Return this Axis' minor tick lines as a list of `.Line2D`\s."""
         lines = []
         ticks = self.get_minor_ticks()
         for tick in ticks:
@@ -1215,184 +1503,261 @@ def get_minorticklines(self):
         return cbook.silent_list('Line2D ticklines', lines)
 
     def get_ticklines(self, minor=False):
-        'Return the tick lines as a list of Line2D instances'
+        r"""Return this Axis' tick lines as a list of `.Line2D`\s."""
         if minor:
             return self.get_minorticklines()
         return self.get_majorticklines()
 
     def get_majorticklocs(self):
-        "Get the major tick locations in data coordinates as a numpy array"
+        """Return this Axis' major tick locations in data coordinates."""
         return self.major.locator()
 
     def get_minorticklocs(self):
-        "Get the minor tick locations in data coordinates as a numpy array"
-        return self.minor.locator()
+        """Return this Axis' minor tick locations in data coordinates."""
+        # Remove minor ticks duplicating major ticks.
+        minor_locs = np.asarray(self.minor.locator())
+        if self.remove_overlapping_locs:
+            major_locs = self.major.locator()
+            transform = self._scale.get_transform()
+            tr_minor_locs = transform.transform(minor_locs)
+            tr_major_locs = transform.transform(major_locs)
+            lo, hi = sorted(transform.transform(self.get_view_interval()))
+            # Use the transformed view limits as scale.  1e-5 is the default
+            # rtol for np.isclose.
+            tol = (hi - lo) * 1e-5
+            mask = np.isclose(tr_minor_locs[:, None], tr_major_locs[None, :],
+                              atol=tol, rtol=0).any(axis=1)
+            minor_locs = minor_locs[~mask]
+        return minor_locs
+
+    def get_ticklocs(self, *, minor=False):
+        """
+        Return this Axis' tick locations in data coordinates.
+
+        The locations are not clipped to the current axis limits and hence
+        may contain locations that are not visible in the output.
+
+        Parameters
+        ----------
+        minor : bool, default: False
+            True to return the minor tick directions,
+            False to return the major tick directions.
+
+        Returns
+        -------
+        array of tick locations
+        """
+        return self.get_minorticklocs() if minor else self.get_majorticklocs()
+
+    def get_ticks_direction(self, minor=False):
+        """
+        Return an array of this Axis' tick directions.
 
-    def get_ticklocs(self, minor=False):
-        "Get the tick locations in data coordinates as a numpy array"
+        Parameters
+        ----------
+        minor : bool, default: False
+            True to return the minor tick directions,
+            False to return the major tick directions.
+
+        Returns
+        -------
+        array of tick directions
+        """
         if minor:
-            return self.minor.locator()
-        return self.major.locator()
+            return np.array(
+                [tick._tickdir for tick in self.get_minor_ticks()])
+        else:
+            return np.array(
+                [tick._tickdir for tick in self.get_major_ticks()])
 
     def _get_tick(self, major):
-        'return the default tick instance'
-        raise NotImplementedError('derived must override')
+        """Return the default tick instance."""
+        if self._tick_class is None:
+            raise NotImplementedError(
+                f"The Axis subclass {self.__class__.__name__} must define "
+                "_tick_class or reimplement _get_tick()")
+        tick_kw = self._major_tick_kw if major else self._minor_tick_kw
+        return self._tick_class(self.axes, 0, major=major, **tick_kw)
+
+    def _get_tick_label_size(self, axis_name):
+        """
+        Return the text size of tick labels for this Axis.
+
+        This is a convenience function to avoid having to create a `Tick` in
+        `.get_tick_space`, since it is expensive.
+        """
+        tick_kw = self._major_tick_kw
+        size = tick_kw.get('labelsize',
+                           mpl.rcParams[f'{axis_name}tick.labelsize'])
+        return mtext.FontProperties(size=size).get_size_in_points()
 
     def _copy_tick_props(self, src, dest):
-        'Copy the props from src tick to dest tick'
+        """Copy the properties from *src* tick to *dest* tick."""
         if src is None or dest is None:
             return
         dest.label1.update_from(src.label1)
         dest.label2.update_from(src.label2)
-
         dest.tick1line.update_from(src.tick1line)
         dest.tick2line.update_from(src.tick2line)
         dest.gridline.update_from(src.gridline)
-
-        dest.tick1On = src.tick1On
-        dest.tick2On = src.tick2On
-        dest.label1On = src.label1On
-        dest.label2On = src.label2On
+        dest.update_from(src)
+        dest._loc = src._loc
+        dest._size = src._size
+        dest._width = src._width
+        dest._base_pad = src._base_pad
+        dest._labelrotation = src._labelrotation
+        dest._zorder = src._zorder
+        dest._tickdir = src._tickdir
 
     def get_label_text(self):
-        'Get the text of the label'
+        """Get the text of the label."""
         return self.label.get_text()
 
     def get_major_locator(self):
-        'Get the locator of the major ticker'
+        """Get the locator of the major ticker."""
         return self.major.locator
 
     def get_minor_locator(self):
-        'Get the locator of the minor ticker'
+        """Get the locator of the minor ticker."""
         return self.minor.locator
 
     def get_major_formatter(self):
-        'Get the formatter of the major ticker'
+        """Get the formatter of the major ticker."""
         return self.major.formatter
 
     def get_minor_formatter(self):
-        'Get the formatter of the minor ticker'
+        """Get the formatter of the minor ticker."""
         return self.minor.formatter
 
     def get_major_ticks(self, numticks=None):
-        'get the tick instances; grow as necessary'
+        r"""
+        Return the list of major `.Tick`\s.
+
+        .. warning::
+
+            Ticks are not guaranteed to be persistent. Various operations
+            can create, delete and modify the Tick instances. There is an
+            imminent risk that changes to individual ticks will not
+            survive if you work on the figure further (including also
+            panning/zooming on a displayed figure).
+
+            Working on the individual ticks is a method of last resort.
+            Use `.set_tick_params` instead if possible.
+        """
         if numticks is None:
-            numticks = len(self.get_major_locator()())
-        if len(self.majorTicks) < numticks:
-            # update the new tick label properties from the old
-            for i in range(numticks - len(self.majorTicks)):
-                tick = self._get_tick(major=True)
-                self.majorTicks.append(tick)
-
-        if self._lastNumMajorTicks < numticks:
-            protoTick = self.majorTicks[0]
-            for i in range(self._lastNumMajorTicks, len(self.majorTicks)):
-                tick = self.majorTicks[i]
-                if self._gridOnMajor:
-                    tick.gridOn = True
-                self._copy_tick_props(protoTick, tick)
-
-        self._lastNumMajorTicks = numticks
-        ticks = self.majorTicks[:numticks]
-
-        return ticks
+            numticks = len(self.get_majorticklocs())
+
+        while len(self.majorTicks) < numticks:
+            # Update the new tick label properties from the old.
+            tick = self._get_tick(major=True)
+            self.majorTicks.append(tick)
+            self._copy_tick_props(self.majorTicks[0], tick)
+
+        return self.majorTicks[:numticks]
 
     def get_minor_ticks(self, numticks=None):
-        'get the minor tick instances; grow as necessary'
-        if numticks is None:
-            numticks = len(self.get_minor_locator()())
+        r"""
+        Return the list of minor `.Tick`\s.
+
+        .. warning::
 
-        if len(self.minorTicks) < numticks:
-            # update the new tick label properties from the old
-            for i in range(numticks - len(self.minorTicks)):
-                tick = self._get_tick(major=False)
-                self.minorTicks.append(tick)
+            Ticks are not guaranteed to be persistent. Various operations
+            can create, delete and modify the Tick instances. There is an
+            imminent risk that changes to individual ticks will not
+            survive if you work on the figure further (including also
+            panning/zooming on a displayed figure).
 
-        if self._lastNumMinorTicks < numticks:
-            protoTick = self.minorTicks[0]
-            for i in range(self._lastNumMinorTicks, len(self.minorTicks)):
-                tick = self.minorTicks[i]
-                if self._gridOnMinor:
-                    tick.gridOn = True
-                self._copy_tick_props(protoTick, tick)
+            Working on the individual ticks is a method of last resort.
+            Use `.set_tick_params` instead if possible.
+        """
+        if numticks is None:
+            numticks = len(self.get_minorticklocs())
 
-        self._lastNumMinorTicks = numticks
-        ticks = self.minorTicks[:numticks]
+        while len(self.minorTicks) < numticks:
+            # Update the new tick label properties from the old.
+            tick = self._get_tick(major=False)
+            self.minorTicks.append(tick)
+            self._copy_tick_props(self.minorTicks[0], tick)
 
-        return ticks
+        return self.minorTicks[:numticks]
 
-    def grid(self, b=None, which='major', **kwargs):
+    def grid(self, visible=None, which='major', **kwargs):
         """
-        Set the axis grid on or off; b is a boolean. Use *which* =
-        'major' | 'minor' | 'both' to set the grid for major or minor ticks.
+        Configure the grid lines.
 
-        If *b* is *None* and len(kwargs)==0, toggle the grid state.  If
-        *kwargs* are supplied, it is assumed you want the grid on and *b*
-        will be set to True.
+        Parameters
+        ----------
+        visible : bool or None
+            Whether to show the grid lines.  If any *kwargs* are supplied, it
+            is assumed you want the grid on and *visible* will be set to True.
+
+            If *visible* is *None* and there are no *kwargs*, this toggles the
+            visibility of the lines.
+
+        which : {'major', 'minor', 'both'}
+            The grid lines to apply the changes on.
 
-        *kwargs* are used to set the line properties of the grids, e.g.,
+        **kwargs : `~matplotlib.lines.Line2D` properties
+            Define the line properties of the grid, e.g.::
 
-          xax.grid(color='r', linestyle='-', linewidth=2)
+                grid(color='r', linestyle='-', linewidth=2)
         """
-        if len(kwargs):
-            b = True
+        if kwargs:
+            if visible is None:
+                visible = True
+            elif not visible:  # something false-like but not None
+                _api.warn_external('First parameter to grid() is false, '
+                                   'but line properties are supplied. The '
+                                   'grid will be enabled.')
+                visible = True
         which = which.lower()
+        _api.check_in_list(['major', 'minor', 'both'], which=which)
+        gridkw = {f'grid_{name}': value for name, value in kwargs.items()}
         if which in ['minor', 'both']:
-            if b is None:
-                self._gridOnMinor = not self._gridOnMinor
-            else:
-                self._gridOnMinor = b
-            for tick in self.minorTicks:  # don't use get_ticks here!
-                if tick is None:
-                    continue
-                tick.gridOn = self._gridOnMinor
-                if len(kwargs):
-                    tick.gridline.update(kwargs)
-            self._minor_tick_kw['gridOn'] = self._gridOnMinor
+            gridkw['gridOn'] = (not self._minor_tick_kw['gridOn']
+                                if visible is None else visible)
+            self.set_tick_params(which='minor', **gridkw)
         if which in ['major', 'both']:
-            if b is None:
-                self._gridOnMajor = not self._gridOnMajor
-            else:
-                self._gridOnMajor = b
-            for tick in self.majorTicks:  # don't use get_ticks here!
-                if tick is None:
-                    continue
-                tick.gridOn = self._gridOnMajor
-                if len(kwargs):
-                    tick.gridline.update(kwargs)
-            self._major_tick_kw['gridOn'] = self._gridOnMajor
+            gridkw['gridOn'] = (not self._major_tick_kw['gridOn']
+                                if visible is None else visible)
+            self.set_tick_params(which='major', **gridkw)
+        self.stale = True
 
     def update_units(self, data):
         """
-        introspect *data* for units converter and update the
-        axis.converter instance if necessary. Return *True*
+        Introspect *data* for units converter and update the
+        ``axis.get_converter`` instance if necessary. Return *True*
         if *data* is registered for unit conversion.
         """
+        if not self._converter_is_explicit:
+            converter = munits.registry.get_converter(data)
+        else:
+            converter = self._converter
 
-        converter = munits.registry.get_converter(data)
         if converter is None:
             return False
 
-        neednew = self.converter != converter
-        self.converter = converter
-        default = self.converter.default_units(data, self)
+        neednew = self._converter != converter
+        self._set_converter(converter)
+        default = self._converter.default_units(data, self)
         if default is not None and self.units is None:
             self.set_units(default)
 
-        if neednew:
+        elif neednew:
             self._update_axisinfo()
+        self.stale = True
         return True
 
     def _update_axisinfo(self):
         """
-        check the axis converter for the stored units to see if the
-        axis info needs to be updated
+        Check the axis converter for the stored units to see if the
+        axis info needs to be updated.
         """
-
-        if self.converter is None:
+        if self._converter is None:
             return
 
-        info = self.converter.axisinfo(self.units, self)
+        info = self._converter.axisinfo(self.units, self)
+
         if info is None:
             return
         if info.majloc is not None and \
@@ -1418,344 +1783,677 @@ def _update_axisinfo(self):
         self.set_default_intervals()
 
     def have_units(self):
-        return self.converter is not None or self.units is not None
+        return self._converter is not None or self.units is not None
 
     def convert_units(self, x):
-        if self.converter is None:
-            self.converter = munits.registry.get_converter(x)
-
-        if self.converter is None:
+        # If x is natively supported by Matplotlib, doesn't need converting
+        if munits._is_natively_supported(x):
             return x
 
-        ret = self.converter.convert(x, self.units, self)
+        if self._converter is None:
+            self._set_converter(munits.registry.get_converter(x))
+
+        if self._converter is None:
+            return x
+        try:
+            ret = self._converter.convert(x, self.units, self)
+        except Exception as e:
+            raise munits.ConversionError('Failed to convert value(s) to axis '
+                                         f'units: {x!r}') from e
         return ret
 
+    def get_converter(self):
+        """
+        Get the unit converter for axis.
+
+        Returns
+        -------
+        `~matplotlib.units.ConversionInterface` or None
+        """
+        return self._converter
+
+    def set_converter(self, converter):
+        """
+        Set the unit converter for axis.
+
+        Parameters
+        ----------
+        converter : `~matplotlib.units.ConversionInterface`
+        """
+        self._set_converter(converter)
+        self._converter_is_explicit = True
+
+    def _set_converter(self, converter):
+        if self._converter is converter or self._converter == converter:
+            return
+        if self._converter_is_explicit:
+            raise RuntimeError("Axis already has an explicit converter set")
+        elif (
+            self._converter is not None and
+            not isinstance(converter, type(self._converter)) and
+            not isinstance(self._converter, type(converter))
+        ):
+            _api.warn_external(
+                "This axis already has a converter set and "
+                "is updating to a potentially incompatible converter"
+            )
+        self._converter = converter
+
     def set_units(self, u):
         """
-        set the units for axis
+        Set the units for axis.
 
-        ACCEPTS: a units tag
+        Parameters
+        ----------
+        u : units tag
+
+        Notes
+        -----
+        The units of any shared axis will also be updated.
         """
-        pchanged = False
-        if u is None:
-            self.units = None
-            pchanged = True
-        else:
-            if u != self.units:
-                self.units = u
-                pchanged = True
-        if pchanged:
-            self._update_axisinfo()
-            self.callbacks.process('units')
-            self.callbacks.process('units finalize')
+        if u == self.units:
+            return
+        for axis in self._get_shared_axis():
+            axis.units = u
+            axis._update_axisinfo()
+            axis.callbacks.process('units')
+            axis.stale = True
 
     def get_units(self):
-        'return the units for axis'
+        """Return the units for axis."""
         return self.units
 
     def set_label_text(self, label, fontdict=None, **kwargs):
-        """  Sets the text value of the axis label
+        """
+        Set the text value of the axis label.
 
-        ACCEPTS: A string value for the label
+        Parameters
+        ----------
+        label : str
+            Text string.
+        fontdict : dict
+            Text properties.
+
+            .. admonition:: Discouraged
+
+               The use of *fontdict* is discouraged. Parameters should be passed as
+               individual keyword arguments or using dictionary-unpacking
+               ``set_label_text(..., **fontdict)``.
+
+        **kwargs
+            Merged into fontdict.
         """
         self.isDefault_label = False
         self.label.set_text(label)
         if fontdict is not None:
             self.label.update(fontdict)
         self.label.update(kwargs)
+        self.stale = True
         return self.label
 
     def set_major_formatter(self, formatter):
         """
-        Set the formatter of the major ticker
+        Set the formatter of the major ticker.
+
+        In addition to a `~matplotlib.ticker.Formatter` instance,
+        this also accepts a ``str`` or function.
 
-        ACCEPTS: A :class:`~matplotlib.ticker.Formatter` instance
+        For a ``str`` a `~matplotlib.ticker.StrMethodFormatter` is used.
+        The field used for the value must be labeled ``'x'`` and the field used
+        for the position must be labeled ``'pos'``.
+        See the  `~matplotlib.ticker.StrMethodFormatter` documentation for
+        more information.
+
+        For a function, a `~matplotlib.ticker.FuncFormatter` is used.
+        The function must take two inputs (a tick value ``x`` and a
+        position ``pos``), and return a string containing the corresponding
+        tick label.
+        See the  `~matplotlib.ticker.FuncFormatter` documentation for
+        more information.
+
+        Parameters
+        ----------
+        formatter : `~matplotlib.ticker.Formatter`, ``str``, or function
         """
-        self.isDefault_majfmt = False
-        self.major.formatter = formatter
-        formatter.set_axis(self)
+        self._set_formatter(formatter, self.major)
 
     def set_minor_formatter(self, formatter):
         """
-        Set the formatter of the minor ticker
+        Set the formatter of the minor ticker.
 
-        ACCEPTS: A :class:`~matplotlib.ticker.Formatter` instance
-        """
-        self.isDefault_minfmt = False
-        self.minor.formatter = formatter
+        In addition to a `~matplotlib.ticker.Formatter` instance,
+        this also accepts a ``str`` or function.
+        See `.Axis.set_major_formatter` for more information.
+
+        Parameters
+        ----------
+        formatter : `~matplotlib.ticker.Formatter`, ``str``, or function
+        """
+        self._set_formatter(formatter, self.minor)
+
+    def _set_formatter(self, formatter, level):
+        if isinstance(formatter, str):
+            formatter = mticker.StrMethodFormatter(formatter)
+        # Don't allow any other TickHelper to avoid easy-to-make errors,
+        # like using a Locator instead of a Formatter.
+        elif (callable(formatter) and
+              not isinstance(formatter, mticker.TickHelper)):
+            formatter = mticker.FuncFormatter(formatter)
+        else:
+            _api.check_isinstance(mticker.Formatter, formatter=formatter)
+
+        if (isinstance(formatter, mticker.FixedFormatter)
+                and len(formatter.seq) > 0
+                and not isinstance(level.locator, mticker.FixedLocator)):
+            _api.warn_external('FixedFormatter should only be used together '
+                               'with FixedLocator')
+
+        if level == self.major:
+            self.isDefault_majfmt = False
+        else:
+            self.isDefault_minfmt = False
+
+        level.formatter = formatter
         formatter.set_axis(self)
+        self.stale = True
 
     def set_major_locator(self, locator):
         """
-        Set the locator of the major ticker
+        Set the locator of the major ticker.
 
-        ACCEPTS: a :class:`~matplotlib.ticker.Locator` instance
+        Parameters
+        ----------
+        locator : `~matplotlib.ticker.Locator`
         """
+        _api.check_isinstance(mticker.Locator, locator=locator)
         self.isDefault_majloc = False
         self.major.locator = locator
+        if self.major.formatter:
+            self.major.formatter._set_locator(locator)
         locator.set_axis(self)
+        self.stale = True
 
     def set_minor_locator(self, locator):
         """
-        Set the locator of the minor ticker
+        Set the locator of the minor ticker.
 
-        ACCEPTS: a :class:`~matplotlib.ticker.Locator` instance
+        Parameters
+        ----------
+        locator : `~matplotlib.ticker.Locator`
         """
+        _api.check_isinstance(mticker.Locator, locator=locator)
         self.isDefault_minloc = False
         self.minor.locator = locator
+        if self.minor.formatter:
+            self.minor.formatter._set_locator(locator)
         locator.set_axis(self)
+        self.stale = True
 
     def set_pickradius(self, pickradius):
         """
-        Set the depth of the axis used by the picker
+        Set the depth of the axis used by the picker.
 
-        ACCEPTS: a distance in points
+        Parameters
+        ----------
+        pickradius : float
+            The acceptance radius for containment tests.
+            See also `.Axis.contains`.
         """
-        self.pickradius = pickradius
+        if not isinstance(pickradius, Real) or pickradius < 0:
+            raise ValueError("pick radius should be a distance")
+        self._pickradius = pickradius
 
-    def set_ticklabels(self, ticklabels, *args, **kwargs):
-        """
-        Set the text values of the tick labels. Return a list of Text
-        instances.  Use *kwarg* *minor=True* to select minor ticks.
-        All other kwargs are used to update the text object properties.
-        As for get_ticklabels, label1 (left or bottom) is
-        affected for a given tick only if its label1On attribute
-        is True, and similarly for label2.  The list of returned
-        label text objects consists of all such label1 objects followed
-        by all such label2 objects.
+    pickradius = property(
+        get_pickradius, set_pickradius, doc="The acceptance radius for "
+        "containment tests. See also `.Axis.contains`.")
+
+    # Helper for set_ticklabels. Defining it here makes it picklable.
+    @staticmethod
+    def _format_with_dict(tickd, x, pos):
+        return tickd.get(x, "")
 
-        The input *ticklabels* is assumed to match the set of
-        tick locations, regardless of the state of label1On and
-        label2On.
+    def set_ticklabels(self, labels, *, minor=False, fontdict=None, **kwargs):
+        r"""
+        [*Discouraged*] Set this Axis' tick labels with list of string labels.
+
+        .. admonition:: Discouraged
+
+            The use of this method is discouraged, because of the dependency on
+            tick positions. In most cases, you'll want to use
+            ``Axes.set_[x/y/z]ticks(positions, labels)`` or ``Axis.set_ticks``
+            instead.
+
+            If you are using this method, you should always fix the tick
+            positions before, e.g. by using `.Axis.set_ticks` or by explicitly
+            setting a `~.ticker.FixedLocator`. Otherwise, ticks are free to
+            move and the labels may end up in unexpected positions.
+
+        Parameters
+        ----------
+        labels : sequence of str or of `.Text`\s
+            Texts for labeling each tick location in the sequence set by
+            `.Axis.set_ticks`; the number of labels must match the number of locations.
+            The labels are used as is, via a `.FixedFormatter` (without further
+            formatting).
 
-        ACCEPTS: sequence of strings
+        minor : bool
+            If True, set minor ticks instead of major ticks.
+
+        fontdict : dict, optional
+
+            .. admonition:: Discouraged
+
+               The use of *fontdict* is discouraged. Parameters should be passed as
+               individual keyword arguments or using dictionary-unpacking
+               ``set_ticklabels(..., **fontdict)``.
+
+            A dictionary controlling the appearance of the ticklabels.
+            The default *fontdict* is::
+
+               {'fontsize': rcParams['axes.titlesize'],
+                'fontweight': rcParams['axes.titleweight'],
+                'verticalalignment': 'baseline',
+                'horizontalalignment': loc}
+
+        **kwargs
+            Text properties.
+
+            .. warning::
+
+                This only sets the properties of the current ticks, which is
+                only sufficient for static plots.
+
+                Ticks are not guaranteed to be persistent. Various operations
+                can create, delete and modify the Tick instances. There is an
+                imminent risk that these settings can get lost if you work on
+                the figure further (including also panning/zooming on a
+                displayed figure).
+
+                Use `.set_tick_params` instead if possible.
+
+        Returns
+        -------
+        list of `.Text`\s
+            For each tick, includes ``tick.label1`` if it is visible, then
+            ``tick.label2`` if it is visible, in that order.
         """
-        minor = kwargs.pop('minor', False)
-        if minor:
-            self.set_minor_formatter(mticker.FixedFormatter(ticklabels))
-            ticks = self.get_minor_ticks()
+        try:
+            labels = [t.get_text() if hasattr(t, 'get_text') else t
+                      for t in labels]
+        except TypeError:
+            raise TypeError(f"{labels:=} must be a sequence") from None
+        locator = (self.get_minor_locator() if minor
+                   else self.get_major_locator())
+        if not labels:
+            # eg labels=[]:
+            formatter = mticker.NullFormatter()
+        elif isinstance(locator, mticker.FixedLocator):
+            # Passing [] as a list of labels is often used as a way to
+            # remove all tick labels, so only error for > 0 labels
+            if len(locator.locs) != len(labels) and len(labels) != 0:
+                raise ValueError(
+                    "The number of FixedLocator locations"
+                    f" ({len(locator.locs)}), usually from a call to"
+                    " set_ticks, does not match"
+                    f" the number of labels ({len(labels)}).")
+            tickd = {loc: lab for loc, lab in zip(locator.locs, labels)}
+            func = functools.partial(self._format_with_dict, tickd)
+            formatter = mticker.FuncFormatter(func)
         else:
-            self.set_major_formatter(mticker.FixedFormatter(ticklabels))
-            ticks = self.get_major_ticks()
+            _api.warn_external(
+                 "set_ticklabels() should only be used with a fixed number of "
+                 "ticks, i.e. after set_ticks() or using a FixedLocator. "
+                 "Otherwise, ticks may be mislabeled.")
+            formatter = mticker.FixedFormatter(labels)
+
+        with warnings.catch_warnings():
+            warnings.filterwarnings(
+                "ignore",
+                message="FixedFormatter should only be used together with FixedLocator")
+            if minor:
+                self.set_minor_formatter(formatter)
+                locs = self.get_minorticklocs()
+                ticks = self.get_minor_ticks(len(locs))
+            else:
+                self.set_major_formatter(formatter)
+                locs = self.get_majorticklocs()
+                ticks = self.get_major_ticks(len(locs))
 
-        ret1 = []
-        ret2 = []
-        for i, tick in enumerate(ticks):
-            if i < len(ticklabels):
-                if tick.label1On:
-                    tick.label1.set_text(ticklabels[i])
-                    tick.label1.update(kwargs)
-                    ret1.append(tick.label1)
-                if tick.label2On:
-                    tick.label2.set_text(ticklabels[i])
-                    ret2.append(tick.label2)
-                    tick.label2.update(kwargs)
-        return ret1 + ret2
+        ret = []
+        if fontdict is not None:
+            kwargs.update(fontdict)
+        for pos, (loc, tick) in enumerate(zip(locs, ticks)):
+            tick.update_position(loc)
+            tick_label = formatter(loc, pos)
+            # deal with label1
+            tick.label1.set_text(tick_label)
+            tick.label1._internal_update(kwargs)
+            # deal with label2
+            tick.label2.set_text(tick_label)
+            tick.label2._internal_update(kwargs)
+            # only return visible tick labels
+            if tick.label1.get_visible():
+                ret.append(tick.label1)
+            if tick.label2.get_visible():
+                ret.append(tick.label2)
+
+        self.stale = True
+        return ret
 
-    def set_ticks(self, ticks, minor=False):
-        """
-        Set the locations of the tick marks from sequence ticks
+    def _set_tick_locations(self, ticks, *, minor=False):
+        # see docstring of set_ticks
 
-        ACCEPTS: sequence of floats
-        """
         # XXX if the user changes units, the information will be lost here
         ticks = self.convert_units(ticks)
-        if len(ticks) > 1:
-            xleft, xright = self.get_view_interval()
-            if xright > xleft:
-                self.set_view_interval(min(ticks), max(ticks))
-            else:
-                self.set_view_interval(max(ticks), min(ticks))
+        locator = mticker.FixedLocator(ticks)  # validate ticks early.
+        if len(ticks):
+            for axis in self._get_shared_axis():
+                # set_view_interval maintains any preexisting inversion.
+                axis.set_view_interval(min(ticks), max(ticks))
+        self.axes.stale = True
         if minor:
-            self.set_minor_locator(mticker.FixedLocator(ticks))
+            self.set_minor_locator(locator)
             return self.get_minor_ticks(len(ticks))
         else:
-            self.set_major_locator(mticker.FixedLocator(ticks))
+            self.set_major_locator(locator)
             return self.get_major_ticks(len(ticks))
 
-    def _update_label_position(self, bboxes, bboxes2):
+    def set_ticks(self, ticks, labels=None, *, minor=False, **kwargs):
         """
-        Update the label position based on the sequence of bounding
-        boxes of all the ticklabels
+        Set this Axis' tick locations and optionally tick labels.
+
+        If necessary, the view limits of the Axis are expanded so that all
+        given ticks are visible.
+
+        Parameters
+        ----------
+        ticks : 1D array-like
+            Array of tick locations (either floats or in axis units). The axis
+            `.Locator` is replaced by a `~.ticker.FixedLocator`.
+
+            Pass an empty list (``set_ticks([])``) to remove all ticks.
+
+            Some tick formatters will not label arbitrary tick positions;
+            e.g. log formatters only label decade ticks by default. In
+            such a case you can set a formatter explicitly on the axis
+            using `.Axis.set_major_formatter` or provide formatted
+            *labels* yourself.
+
+        labels : list of str, optional
+            Tick labels for each location in *ticks*; must have the same length as
+            *ticks*. If set, the labels are used as is, via a `.FixedFormatter`.
+            If not set, the labels are generated using the axis tick `.Formatter`.
+
+        minor : bool, default: False
+            If ``False``, set only the major ticks; if ``True``, only the minor ticks.
+
+        **kwargs
+            `.Text` properties for the labels. Using these is only allowed if
+            you pass *labels*. In other cases, please use `~.Axes.tick_params`.
+
+        Notes
+        -----
+        The mandatory expansion of the view limits is an intentional design
+        choice to prevent the surprise of a non-visible tick. If you need
+        other limits, you should set the limits explicitly after setting the
+        ticks.
+        """
+        if labels is None and kwargs:
+            first_key = next(iter(kwargs))
+            raise ValueError(
+                f"Incorrect use of keyword argument {first_key!r}. Keyword arguments "
+                "other than 'minor' modify the text labels and can only be used if "
+                "'labels' are passed as well.")
+        result = self._set_tick_locations(ticks, minor=minor)
+        if labels is not None:
+            self.set_ticklabels(labels, minor=minor, **kwargs)
+        return result
+
+    def _get_tick_boxes_siblings(self, renderer):
+        """
+        Get the bounding boxes for this `.axis` and its siblings
+        as set by `.Figure.align_xlabels` or  `.Figure.align_ylabels`.
+
+        By default, it just gets bboxes for *self*.
+        """
+        # Get the Grouper keeping track of x or y label groups for this figure.
+        name = self._get_axis_name()
+        if name not in self.get_figure(root=False)._align_label_groups:
+            return [], []
+        grouper = self.get_figure(root=False)._align_label_groups[name]
+        bboxes = []
+        bboxes2 = []
+        # If we want to align labels from other Axes:
+        for ax in grouper.get_siblings(self.axes):
+            axis = ax._axis_map[name]
+            ticks_to_draw = axis._update_ticks()
+            tlb, tlb2 = axis._get_ticklabel_bboxes(ticks_to_draw, renderer)
+            bboxes.extend(tlb)
+            bboxes2.extend(tlb2)
+        return bboxes, bboxes2
+
+    def _update_label_position(self, renderer):
+        """
+        Update the label position based on the bounding box enclosing
+        all the ticklabels and axis spine.
         """
         raise NotImplementedError('Derived must override')
 
-    def _update_offset_text_postion(self, bboxes, bboxes2):
+    def _update_offset_text_position(self, bboxes, bboxes2):
         """
-        Update the label position based on the sequence of bounding
-        boxes of all the ticklabels
+        Update the offset text position based on the sequence of bounding
+        boxes of all the ticklabels.
         """
         raise NotImplementedError('Derived must override')
 
-    def pan(self, numsteps):
-        'Pan *numsteps* (can be positive or negative)'
-        self.major.locator.pan(numsteps)
-
-    def zoom(self, direction):
-        "Zoom in/out on axis; if *direction* is >0 zoom in, else zoom out"
-        self.major.locator.zoom(direction)
-
     def axis_date(self, tz=None):
         """
-        Sets up x-axis ticks and labels that treat the x data as dates.
-        *tz* is a :class:`tzinfo` instance or a timezone string.
-        This timezone is used to create date labels.
-        """
-        # By providing a sample datetime instance with the desired
-        # timezone, the registered converter can be selected,
-        # and the "units" attribute, which is the timezone, can
-        # be set.
-        import datetime
-        if isinstance(tz, six.string_types):
-            import pytz
-            tz = pytz.timezone(tz)
+        Set up axis ticks and labels to treat data along this Axis as dates.
+
+        Parameters
+        ----------
+        tz : str or `datetime.tzinfo`, default: :rc:`timezone`
+            The timezone used to create date labels.
+        """
+        # By providing a sample datetime instance with the desired timezone,
+        # the registered converter can be selected, and the "units" attribute,
+        # which is the timezone, can be set.
+        if isinstance(tz, str):
+            import dateutil.tz
+            tz = dateutil.tz.gettz(tz)
         self.update_units(datetime.datetime(2009, 1, 1, 0, 0, 0, 0, tz))
 
+    def get_tick_space(self):
+        """Return the estimated number of ticks that can fit on the axis."""
+        # Must be overridden in the subclass
+        raise NotImplementedError()
+
+    def _get_ticks_position(self):
+        """
+        Helper for `XAxis.get_ticks_position` and `YAxis.get_ticks_position`.
+
+        Check the visibility of tick1line, label1, tick2line, and label2 on
+        the first major and the first minor ticks, provided these ticks are used
+        i.e. the corresponding locator is not a NullLocator, and return
+
+        - 1 if only tick1line and label1 are visible (which corresponds to
+          "bottom" for the x-axis and "left" for the y-axis);
+        - 2 if only tick2line and label2 are visible (which corresponds to
+          "top" for the x-axis and "right" for the y-axis);
+        - "default" if only tick1line, tick2line and label1 are visible;
+        - "unknown" otherwise.
+        """
+        representative_ticks = []
+        if not isinstance(self.get_major_locator(), NullLocator):
+            representative_ticks.append(self.majorTicks[0])
+        if not isinstance(self.get_minor_locator(), NullLocator):
+            representative_ticks.append(self.minorTicks[0])
+
+        if all(tick.tick1line.get_visible()
+               and not tick.tick2line.get_visible()
+               and tick.label1.get_visible()
+               and not tick.label2.get_visible()
+               for tick in representative_ticks):
+            return 1
+        elif all(tick.tick2line.get_visible()
+                 and not tick.tick1line.get_visible()
+                 and tick.label2.get_visible()
+                 and not tick.label1.get_visible()
+                 for tick in representative_ticks):
+            return 2
+        elif all(tick.tick1line.get_visible()
+                 and tick.tick2line.get_visible()
+                 and tick.label1.get_visible()
+                 and not tick.label2.get_visible()
+                 for tick in representative_ticks):
+            return "default"
+        else:
+            return "unknown"
 
-class XAxis(Axis):
-    __name__ = 'xaxis'
-    axis_name = 'x'
+    def get_label_position(self):
+        """
+        Return the label position (top or bottom)
+        """
+        return self.label_position
 
-    def contains(self, mouseevent):
-        """Test whether the mouse event occured in the x axis.
+    def set_label_position(self, position):
         """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
+        Set the label position (top or bottom)
 
-        x, y = mouseevent.x, mouseevent.y
-        try:
-            trans = self.axes.transAxes.inverted()
-            xaxes, yaxes = trans.transform_point((x, y))
-        except ValueError:
-            return False, {}
-        l, b = self.axes.transAxes.transform_point((0, 0))
-        r, t = self.axes.transAxes.transform_point((1, 1))
-        inaxis = xaxes >= 0 and xaxes <= 1 and (
-            (y < b and y > b - self.pickradius) or
-            (y > t and y < t + self.pickradius))
-        return inaxis, {}
+        Parameters
+        ----------
+        position : {'top', 'bottom'}
+        """
+        raise NotImplementedError()
 
-    def _get_tick(self, major):
-        if major:
-            tick_kw = self._major_tick_kw
-        else:
-            tick_kw = self._minor_tick_kw
-        return XTick(self.axes, 0, '', major=major, **tick_kw)
-
-    def _get_label(self):
-        # x in axes coords, y in display coords (to be updated at draw
-        # time by _update_label_positions)
-        label = mtext.Text(x=0.5, y=0,
-                           fontproperties=font_manager.FontProperties(
-                               size=rcParams['axes.labelsize'],
-                               weight=rcParams['axes.labelweight']),
-                           color=rcParams['axes.labelcolor'],
-                           verticalalignment='top',
-                           horizontalalignment='center')
-
-        label.set_transform(mtransforms.blended_transform_factory(
-            self.axes.transAxes, mtransforms.IdentityTransform()))
-
-        self._set_artist_props(label)
-        self.label_position = 'bottom'
-        return label
-
-    def _get_offset_text(self):
-        # x in axes coords, y in display coords (to be updated at draw time)
-        offsetText = mtext.Text(x=1, y=0,
-                                fontproperties=font_manager.FontProperties(
-                                    size=rcParams['xtick.labelsize']),
-                                color=rcParams['xtick.color'],
-                                verticalalignment='top',
-                                horizontalalignment='right')
-        offsetText.set_transform(mtransforms.blended_transform_factory(
-            self.axes.transAxes, mtransforms.IdentityTransform())
-        )
-        self._set_artist_props(offsetText)
-        self.offset_text_position = 'bottom'
-        return offsetText
+    def get_minpos(self):
+        raise NotImplementedError()
 
-    def _get_pixel_distance_along_axis(self, where, perturb):
-        """
-        Returns the amount, in data coordinates, that a single pixel
-        corresponds to in the locality given by "where", which is also given
-        in data coordinates, and is an x coordinate. "perturb" is the amount
-        to perturb the pixel.  Usually +0.5 or -0.5.
 
-        Implementing this routine for an axis is optional; if present, it will
-        ensure that no ticks are lost due to round-off at the extreme ends of
-        an axis.
-        """
+def _make_getset_interval(method_name, lim_name, attr_name):
+    """
+    Helper to generate ``get_{data,view}_interval`` and
+    ``set_{data,view}_interval`` implementations.
+    """
+
+    def getter(self):
+        # docstring inherited.
+        return getattr(getattr(self.axes, lim_name), attr_name)
+
+    def setter(self, vmin, vmax, ignore=False):
+        # docstring inherited.
+        if ignore:
+            setattr(getattr(self.axes, lim_name), attr_name, (vmin, vmax))
+        else:
+            oldmin, oldmax = getter(self)
+            if oldmin < oldmax:
+                setter(self, min(vmin, vmax, oldmin), max(vmin, vmax, oldmax),
+                       ignore=True)
+            else:
+                setter(self, max(vmin, vmax, oldmin), min(vmin, vmax, oldmax),
+                       ignore=True)
+        self.stale = True
 
-        # Note that this routine does not work for a polar axis, because of
-        # the 1e-10 below.  To do things correctly, we need to use rmax
-        # instead of 1e-10 for a polar axis.  But since we do not have that
-        # kind of information at this point, we just don't try to pad anything
-        # for the theta axis of a polar plot.
-        if self.axes.name == 'polar':
-            return 0.0
+    getter.__name__ = f"get_{method_name}_interval"
+    setter.__name__ = f"set_{method_name}_interval"
 
-        #
-        # first figure out the pixel location of the "where" point.  We use
-        # 1e-10 for the y point, so that we remain compatible with log axes.
+    return getter, setter
 
-        # transformation from data coords to display coords
-        trans = self.axes.transData
-        # transformation from display coords to data coords
-        transinv = trans.inverted()
-        pix = trans.transform_point((where, 1e-10))
-        # perturb the pixel
-        ptp = transinv.transform_point((pix[0] + perturb, pix[1]))
-        dx = abs(ptp[0] - where)
 
-        return dx
+class XAxis(Axis):
+    __name__ = 'xaxis'
+    axis_name = 'x'  #: Read-only name identifying the axis.
+    _tick_class = XTick
 
-    def get_label_position(self):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._init()
+
+    def _init(self):
         """
-        Return the label position (top or bottom)
+        Initialize the label and offsetText instance values and
+        `label_position` / `offset_text_position`.
         """
-        return self.label_position
+        # x in axes coords, y in display coords (to be updated at draw time by
+        # _update_label_positions and _update_offset_text_position).
+        self.label.set(
+            x=0.5, y=0,
+            verticalalignment='top', horizontalalignment='center',
+            transform=mtransforms.blended_transform_factory(
+                self.axes.transAxes, mtransforms.IdentityTransform()),
+        )
+        self.label_position = 'bottom'
+
+        if mpl.rcParams['xtick.labelcolor'] == 'inherit':
+            tick_color = mpl.rcParams['xtick.color']
+        else:
+            tick_color = mpl.rcParams['xtick.labelcolor']
+
+        self.offsetText.set(
+            x=1, y=0,
+            verticalalignment='top', horizontalalignment='right',
+            transform=mtransforms.blended_transform_factory(
+                self.axes.transAxes, mtransforms.IdentityTransform()),
+            fontsize=mpl.rcParams['xtick.labelsize'],
+            color=tick_color
+        )
+        self.offset_text_position = 'bottom'
+
+    def contains(self, mouseevent):
+        """Test whether the mouse event occurred in the x-axis."""
+        if self._different_canvas(mouseevent):
+            return False, {}
+        x, y = mouseevent.x, mouseevent.y
+        try:
+            trans = self.axes.transAxes.inverted()
+            xaxes, yaxes = trans.transform((x, y))
+        except ValueError:
+            return False, {}
+        (l, b), (r, t) = self.axes.transAxes.transform([(0, 0), (1, 1)])
+        inaxis = 0 <= xaxes <= 1 and (
+            b - self._pickradius < y < b or
+            t < y < t + self._pickradius)
+        return inaxis, {}
 
     def set_label_position(self, position):
         """
         Set the label position (top or bottom)
 
-        ACCEPTS: [ 'top' | 'bottom' ]
+        Parameters
+        ----------
+        position : {'top', 'bottom'}
         """
-        assert position == 'top' or position == 'bottom'
-        if position == 'top':
-            self.label.set_verticalalignment('baseline')
-        else:
-            self.label.set_verticalalignment('top')
+        self.label.set_verticalalignment(_api.check_getitem({
+            'top': 'baseline', 'bottom': 'top',
+        }, position=position))
         self.label_position = position
+        self.stale = True
 
-    def _update_label_position(self, bboxes, bboxes2):
+    def _update_label_position(self, renderer):
         """
-        Update the label position based on the sequence of bounding
-        boxes of all the ticklabels
+        Update the label position based on the bounding box enclosing
+        all the ticklabels and axis spine
         """
         if not self._autolabelpos:
             return
+
+        # get bounding boxes for this axis and any siblings
+        # that have been set by `fig.align_xlabels()`
+        bboxes, bboxes2 = self._get_tick_boxes_siblings(renderer=renderer)
         x, y = self.label.get_position()
+
         if self.label_position == 'bottom':
-            if not len(bboxes):
-                bottom = self.axes.bbox.ymin
-            else:
-                bbox = mtransforms.Bbox.union(bboxes)
-                bottom = bbox.y0
+            # Union with extents of the bottom spine if present, of the axes otherwise.
+            bbox = mtransforms.Bbox.union([
+                *bboxes, self.axes.spines.get("bottom", self.axes).get_window_extent()])
             self.label.set_position(
-                (x, bottom - self.labelpad * self.figure.dpi / 72.0)
-            )
-
+                (x, bbox.y0 - self.labelpad * self.get_figure(root=True).dpi / 72))
         else:
-            if not len(bboxes2):
-                top = self.axes.bbox.ymax
-            else:
-                bbox = mtransforms.Bbox.union(bboxes2)
-                top = bbox.y1
+            # Union with extents of the top spine if present, of the axes otherwise.
+            bbox = mtransforms.Bbox.union([
+                *bboxes2, self.axes.spines.get("top", self.axes).get_window_extent()])
             self.label.set_position(
-                (x, top + self.labelpad * self.figure.dpi / 72.0)
-            )
+                (x, bbox.y1 + self.labelpad * self.get_figure(root=True).dpi / 72))
 
     def _update_offset_text_position(self, bboxes, bboxes2):
         """
@@ -1763,54 +2461,47 @@ def _update_offset_text_position(self, bboxes, bboxes2):
         boxes of all the ticklabels
         """
         x, y = self.offsetText.get_position()
-        if not len(bboxes):
-            bottom = self.axes.bbox.ymin
-        else:
-            bbox = mtransforms.Bbox.union(bboxes)
-            bottom = bbox.y0
-        self.offsetText.set_position(
-            (x, bottom - self.OFFSETTEXTPAD * self.figure.dpi / 72.0)
-        )
-
-    def get_text_heights(self, renderer):
-        """
-        Returns the amount of space one should reserve for text
-        above and below the axes.  Returns a tuple (above, below)
-        """
-        bbox, bbox2 = self.get_ticklabel_extents(renderer)
-        # MGDTODO: Need a better way to get the pad
-        padPixels = self.majorTicks[0].get_pad_pixels()
-
-        above = 0.0
-        if bbox2.height:
-            above += bbox2.height + padPixels
-        below = 0.0
-        if bbox.height:
-            below += bbox.height + padPixels
-
-        if self.get_label_position() == 'top':
-            above += self.label.get_window_extent(renderer).height + padPixels
+        if not hasattr(self, '_tick_position'):
+            self._tick_position = 'bottom'
+        if self._tick_position == 'bottom':
+            if not len(bboxes):
+                bottom = self.axes.bbox.ymin
+            else:
+                bbox = mtransforms.Bbox.union(bboxes)
+                bottom = bbox.y0
+            y = bottom - self.OFFSETTEXTPAD * self.get_figure(root=True).dpi / 72
         else:
-            below += self.label.get_window_extent(renderer).height + padPixels
-        return above, below
+            if not len(bboxes2):
+                top = self.axes.bbox.ymax
+            else:
+                bbox = mtransforms.Bbox.union(bboxes2)
+                top = bbox.y1
+            y = top + self.OFFSETTEXTPAD * self.get_figure(root=True).dpi / 72
+        self.offsetText.set_position((x, y))
 
     def set_ticks_position(self, position):
         """
-        Set the ticks position (top, bottom, both, default or none)
-        both sets the ticks to appear on both positions, but does not
-        change the tick labels.  'default' resets the tick positions to
-        the default: ticks on both positions, labels at bottom.  'none'
-        can be used if you don't want any ticks. 'none' and 'both'
-        affect only the ticks, not the labels.
+        Set the ticks position.
 
-        ACCEPTS: [ 'top' | 'bottom' | 'both' | 'default' | 'none' ]
+        Parameters
+        ----------
+        position : {'top', 'bottom', 'both', 'default', 'none'}
+            'both' sets the ticks to appear on both positions, but does not
+            change the tick labels.  'default' resets the tick positions to
+            the default: ticks on both positions, labels at bottom.  'none'
+            can be used if you don't want any ticks. 'none' and 'both'
+            affect only the ticks, not the labels.
         """
         if position == 'top':
             self.set_tick_params(which='both', top=True, labeltop=True,
                                  bottom=False, labelbottom=False)
+            self._tick_position = 'top'
+            self.offsetText.set_verticalalignment('bottom')
         elif position == 'bottom':
             self.set_tick_params(which='both', top=False, labeltop=False,
                                  bottom=True, labelbottom=True)
+            self._tick_position = 'bottom'
+            self.offsetText.set_verticalalignment('top')
         elif position == 'both':
             self.set_tick_params(which='both', top=True,
                                  bottom=True)
@@ -1820,309 +2511,227 @@ def set_ticks_position(self, position):
         elif position == 'default':
             self.set_tick_params(which='both', top=True, labeltop=False,
                                  bottom=True, labelbottom=True)
+            self._tick_position = 'bottom'
+            self.offsetText.set_verticalalignment('top')
         else:
-            raise ValueError("invalid position: %s" % position)
+            _api.check_in_list(['top', 'bottom', 'both', 'default', 'none'],
+                               position=position)
+        self.stale = True
 
     def tick_top(self):
-        'use ticks only on top'
+        """
+        Move ticks and ticklabels (if present) to the top of the Axes.
+        """
+        label = True
+        if 'label1On' in self._major_tick_kw:
+            label = (self._major_tick_kw['label1On']
+                     or self._major_tick_kw['label2On'])
         self.set_ticks_position('top')
+        # If labels were turned off before this was called, leave them off.
+        self.set_tick_params(which='both', labeltop=label)
 
     def tick_bottom(self):
-        'use ticks only on bottom'
+        """
+        Move ticks and ticklabels (if present) to the bottom of the Axes.
+        """
+        label = True
+        if 'label1On' in self._major_tick_kw:
+            label = (self._major_tick_kw['label1On']
+                     or self._major_tick_kw['label2On'])
         self.set_ticks_position('bottom')
+        # If labels were turned off before this was called, leave them off.
+        self.set_tick_params(which='both', labelbottom=label)
 
     def get_ticks_position(self):
         """
-        Return the ticks position (top, bottom, default or unknown)
+        Return the ticks position ("top", "bottom", "default", or "unknown").
         """
-        majt = self.majorTicks[0]
-        mT = self.minorTicks[0]
-
-        majorTop = ((not majt.tick1On) and majt.tick2On and
-                    (not majt.label1On) and majt.label2On)
-        minorTop = ((not mT.tick1On) and mT.tick2On and
-                    (not mT.label1On) and mT.label2On)
-        if majorTop and minorTop:
-            return 'top'
-
-        MajorBottom = (majt.tick1On and (not majt.tick2On) and
-                       majt.label1On and (not majt.label2On))
-        MinorBottom = (mT.tick1On and (not mT.tick2On) and
-                       mT.label1On and (not mT.label2On))
-        if MajorBottom and MinorBottom:
-            return 'bottom'
+        return {1: "bottom", 2: "top",
+                "default": "default", "unknown": "unknown"}[
+                    self._get_ticks_position()]
 
-        majorDefault = (majt.tick1On and majt.tick2On and
-                        majt.label1On and (not majt.label2On))
-        minorDefault = (mT.tick1On and mT.tick2On and
-                        mT.label1On and (not mT.label2On))
-        if majorDefault and minorDefault:
-            return 'default'
-
-        return 'unknown'
-
-    def get_view_interval(self):
-        'return the Interval instance for this axis view limits'
-        return self.axes.viewLim.intervalx
-
-    def set_view_interval(self, vmin, vmax, ignore=False):
-        """
-        If *ignore* is *False*, the order of vmin, vmax
-        does not matter; the original axis orientation will
-        be preserved. In addition, the view limits can be
-        expanded, but will not be reduced.  This method is
-        for mpl internal use; for normal use, see
-        :meth:`~matplotlib.axes.Axes.set_xlim`.
-
-        """
-        if ignore:
-            self.axes.viewLim.intervalx = vmin, vmax
-        else:
-            Vmin, Vmax = self.get_view_interval()
-            if Vmin < Vmax:
-                self.axes.viewLim.intervalx = (min(vmin, vmax, Vmin),
-                                               max(vmin, vmax, Vmax))
-            else:
-                self.axes.viewLim.intervalx = (max(vmin, vmax, Vmin),
-                                               min(vmin, vmax, Vmax))
+    get_view_interval, set_view_interval = _make_getset_interval(
+        "view", "viewLim", "intervalx")
+    get_data_interval, set_data_interval = _make_getset_interval(
+        "data", "dataLim", "intervalx")
 
     def get_minpos(self):
         return self.axes.dataLim.minposx
 
-    def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
-        return self.axes.dataLim.intervalx
-
-    def set_data_interval(self, vmin, vmax, ignore=False):
-        'set the axis data limits'
-        if ignore:
-            self.axes.dataLim.intervalx = vmin, vmax
-        else:
-            Vmin, Vmax = self.get_data_interval()
-            self.axes.dataLim.intervalx = min(vmin, Vmin), max(vmax, Vmax)
-
     def set_default_intervals(self):
-        'set the default limits for the axis interval if they are not mutated'
-        xmin, xmax = 0., 1.
-        dataMutated = self.axes.dataLim.mutatedx()
-        viewMutated = self.axes.viewLim.mutatedx()
-        if not dataMutated or not viewMutated:
-            if self.converter is not None:
-                info = self.converter.axisinfo(self.units, self)
+        # docstring inherited
+        # only change view if dataLim has not changed and user has
+        # not changed the view:
+        if (not self.axes.dataLim.mutatedx() and
+                not self.axes.viewLim.mutatedx()):
+            if self._converter is not None:
+                info = self._converter.axisinfo(self.units, self)
                 if info.default_limits is not None:
-                    valmin, valmax = info.default_limits
-                    xmin = self.converter.convert(valmin, self.units, self)
-                    xmax = self.converter.convert(valmax, self.units, self)
-            if not dataMutated:
-                self.axes.dataLim.intervalx = xmin, xmax
-            if not viewMutated:
-                self.axes.viewLim.intervalx = xmin, xmax
+                    xmin, xmax = self.convert_units(info.default_limits)
+                    self.axes.viewLim.intervalx = xmin, xmax
+        self.stale = True
+
+    def get_tick_space(self):
+        ends = mtransforms.Bbox.unit().transformed(
+            self.axes.transAxes - self.get_figure(root=False).dpi_scale_trans)
+        length = ends.width * 72
+        # There is a heuristic here that the aspect ratio of tick text
+        # is no more than 3:1
+        size = self._get_tick_label_size('x') * 3
+        if size > 0:
+            return int(np.floor(length / size))
+        else:
+            return 2**31 - 1
 
 
 class YAxis(Axis):
     __name__ = 'yaxis'
-    axis_name = 'y'
-
-    def contains(self, mouseevent):
-        """Test whether the mouse event occurred in the y axis.
+    axis_name = 'y'  #: Read-only name identifying the axis.
+    _tick_class = YTick
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._init()
+
+    def _init(self):
+        """
+        Initialize the label and offsetText instance values and
+        `label_position` / `offset_text_position`.
+        """
+        # x in display coords, y in axes coords (to be updated at draw time by
+        # _update_label_positions and _update_offset_text_position).
+        self.label.set(
+            x=0, y=0.5,
+            verticalalignment='bottom', horizontalalignment='center',
+            rotation='vertical', rotation_mode='anchor',
+            transform=mtransforms.blended_transform_factory(
+                mtransforms.IdentityTransform(), self.axes.transAxes),
+        )
+        self.label_position = 'left'
 
-        Returns *True* | *False*
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
+        if mpl.rcParams['ytick.labelcolor'] == 'inherit':
+            tick_color = mpl.rcParams['ytick.color']
+        else:
+            tick_color = mpl.rcParams['ytick.labelcolor']
+
+        # x in axes coords, y in display coords(!).
+        self.offsetText.set(
+            x=0, y=0.5,
+            verticalalignment='baseline', horizontalalignment='left',
+            transform=mtransforms.blended_transform_factory(
+                self.axes.transAxes, mtransforms.IdentityTransform()),
+            fontsize=mpl.rcParams['ytick.labelsize'],
+            color=tick_color
+        )
+        self.offset_text_position = 'left'
 
+    def contains(self, mouseevent):
+        # docstring inherited
+        if self._different_canvas(mouseevent):
+            return False, {}
         x, y = mouseevent.x, mouseevent.y
         try:
             trans = self.axes.transAxes.inverted()
-            xaxes, yaxes = trans.transform_point((x, y))
+            xaxes, yaxes = trans.transform((x, y))
         except ValueError:
             return False, {}
-        l, b = self.axes.transAxes.transform_point((0, 0))
-        r, t = self.axes.transAxes.transform_point((1, 1))
-        inaxis = yaxes >= 0 and yaxes <= 1 and (
-            (x < l and x > l - self.pickradius) or
-            (x > r and x < r + self.pickradius))
+        (l, b), (r, t) = self.axes.transAxes.transform([(0, 0), (1, 1)])
+        inaxis = 0 <= yaxes <= 1 and (
+            l - self._pickradius < x < l or
+            r < x < r + self._pickradius)
         return inaxis, {}
 
-    def _get_tick(self, major):
-        if major:
-            tick_kw = self._major_tick_kw
-        else:
-            tick_kw = self._minor_tick_kw
-        return YTick(self.axes, 0, '', major=major, **tick_kw)
-
-    def _get_label(self):
-        # x in display coords (updated by _update_label_position)
-        # y in axes coords
-        label = mtext.Text(x=0, y=0.5,
-                           # todo: get the label position
-                           fontproperties=font_manager.FontProperties(
-                               size=rcParams['axes.labelsize'],
-                               weight=rcParams['axes.labelweight']),
-                           color=rcParams['axes.labelcolor'],
-                           verticalalignment='bottom',
-                           horizontalalignment='center',
-                           rotation='vertical',
-                           rotation_mode='anchor')
-        label.set_transform(mtransforms.blended_transform_factory(
-            mtransforms.IdentityTransform(), self.axes.transAxes))
-
-        self._set_artist_props(label)
-        self.label_position = 'left'
-        return label
-
-    def _get_offset_text(self):
-        # x in display coords, y in axes coords (to be updated at draw time)
-        offsetText = mtext.Text(x=0, y=0.5,
-                                fontproperties=font_manager.FontProperties(
-                                    size=rcParams['ytick.labelsize']
-                                ),
-                                color=rcParams['ytick.color'],
-                                verticalalignment='baseline',
-                                horizontalalignment='left')
-        offsetText.set_transform(mtransforms.blended_transform_factory(
-            self.axes.transAxes, mtransforms.IdentityTransform())
-        )
-        self._set_artist_props(offsetText)
-        self.offset_text_position = 'left'
-        return offsetText
-
-    def _get_pixel_distance_along_axis(self, where, perturb):
-        """
-        Returns the amount, in data coordinates, that a single pixel
-        corresponds to in the locality given by *where*, which is also given
-        in data coordinates, and is a y coordinate.
-
-        *perturb* is the amount to perturb the pixel.  Usually +0.5 or -0.5.
-
-        Implementing this routine for an axis is optional; if present, it will
-        ensure that no ticks are lost due to round-off at the extreme ends of
-        an axis.
-        """
-
-        #
-        # first figure out the pixel location of the "where" point.  We use
-        # 1e-10 for the x point, so that we remain compatible with log axes.
-
-        # transformation from data coords to display coords
-        trans = self.axes.transData
-        # transformation from display coords to data coords
-        transinv = trans.inverted()
-        pix = trans.transform_point((1e-10, where))
-        # perturb the pixel
-        ptp = transinv.transform_point((pix[0], pix[1] + perturb))
-        dy = abs(ptp[1] - where)
-        return dy
-
-    def get_label_position(self):
-        """
-        Return the label position (left or right)
-        """
-        return self.label_position
-
     def set_label_position(self, position):
         """
         Set the label position (left or right)
 
-        ACCEPTS: [ 'left' | 'right' ]
+        Parameters
+        ----------
+        position : {'left', 'right'}
         """
-        assert position == 'left' or position == 'right'
         self.label.set_rotation_mode('anchor')
-        self.label.set_horizontalalignment('center')
-        if position == 'left':
-            self.label.set_verticalalignment('bottom')
-        else:
-            self.label.set_verticalalignment('top')
+        self.label.set_verticalalignment(_api.check_getitem({
+            'left': 'bottom', 'right': 'top',
+        }, position=position))
         self.label_position = position
+        self.stale = True
 
-    def _update_label_position(self, bboxes, bboxes2):
+    def _update_label_position(self, renderer):
         """
-        Update the label position based on the sequence of bounding
-        boxes of all the ticklabels
+        Update the label position based on the bounding box enclosing
+        all the ticklabels and axis spine
         """
         if not self._autolabelpos:
             return
+
+        # get bounding boxes for this axis and any siblings
+        # that have been set by `fig.align_ylabels()`
+        bboxes, bboxes2 = self._get_tick_boxes_siblings(renderer=renderer)
         x, y = self.label.get_position()
-        if self.label_position == 'left':
-            if not len(bboxes):
-                left = self.axes.bbox.xmin
-            else:
-                bbox = mtransforms.Bbox.union(bboxes)
-                left = bbox.x0
 
+        if self.label_position == 'left':
+            # Union with extents of the left spine if present, of the axes otherwise.
+            bbox = mtransforms.Bbox.union([
+                *bboxes, self.axes.spines.get("left", self.axes).get_window_extent()])
             self.label.set_position(
-                (left - self.labelpad * self.figure.dpi / 72.0, y)
-            )
-
+                (bbox.x0 - self.labelpad * self.get_figure(root=True).dpi / 72, y))
         else:
-            if not len(bboxes2):
-                right = self.axes.bbox.xmax
-            else:
-                bbox = mtransforms.Bbox.union(bboxes2)
-                right = bbox.x1
-
+            # Union with extents of the right spine if present, of the axes otherwise.
+            bbox = mtransforms.Bbox.union([
+                *bboxes2, self.axes.spines.get("right", self.axes).get_window_extent()])
             self.label.set_position(
-                (right + self.labelpad * self.figure.dpi / 72.0, y)
-            )
+                (bbox.x1 + self.labelpad * self.get_figure(root=True).dpi / 72, y))
 
     def _update_offset_text_position(self, bboxes, bboxes2):
         """
         Update the offset_text position based on the sequence of bounding
         boxes of all the ticklabels
         """
-        x, y = self.offsetText.get_position()
-        top = self.axes.bbox.ymax
+        x, _ = self.offsetText.get_position()
+        if 'outline' in self.axes.spines:
+            # Special case for colorbars:
+            bbox = self.axes.spines['outline'].get_window_extent()
+        else:
+            bbox = self.axes.bbox
+        top = bbox.ymax
         self.offsetText.set_position(
-            (x, top + self.OFFSETTEXTPAD * self.figure.dpi / 72.0)
+            (x, top + self.OFFSETTEXTPAD * self.get_figure(root=True).dpi / 72)
         )
 
     def set_offset_position(self, position):
-        assert position == 'left' or position == 'right'
-
+        """
+        Parameters
+        ----------
+        position : {'left', 'right'}
+        """
         x, y = self.offsetText.get_position()
-        if position == 'left':
-            x = 0
-        else:
-            x = 1
+        x = _api.check_getitem({'left': 0, 'right': 1}, position=position)
 
         self.offsetText.set_ha(position)
         self.offsetText.set_position((x, y))
-
-    def get_text_widths(self, renderer):
-        bbox, bbox2 = self.get_ticklabel_extents(renderer)
-        # MGDTODO: Need a better way to get the pad
-        padPixels = self.majorTicks[0].get_pad_pixels()
-
-        left = 0.0
-        if bbox.width:
-            left += bbox.width + padPixels
-        right = 0.0
-        if bbox2.width:
-            right += bbox2.width + padPixels
-
-        if self.get_label_position() == 'left':
-            left += self.label.get_window_extent(renderer).width + padPixels
-        else:
-            right += self.label.get_window_extent(renderer).width + padPixels
-        return left, right
+        self.stale = True
 
     def set_ticks_position(self, position):
         """
-        Set the ticks position (left, right, both, default or none)
-        'both' sets the ticks to appear on both positions, but does not
-        change the tick labels.  'default' resets the tick positions to
-        the default: ticks on both positions, labels at left.  'none'
-        can be used if you don't want any ticks. 'none' and 'both'
-        affect only the ticks, not the labels.
+        Set the ticks position.
 
-        ACCEPTS: [ 'left' | 'right' | 'both' | 'default' | 'none' ]
+        Parameters
+        ----------
+        position : {'left', 'right', 'both', 'default', 'none'}
+            'both' sets the ticks to appear on both positions, but does not
+            change the tick labels.  'default' resets the tick positions to
+            the default: ticks on both positions, labels at left.  'none'
+            can be used if you don't want any ticks. 'none' and 'both'
+            affect only the ticks, not the labels.
         """
         if position == 'right':
             self.set_tick_params(which='both', right=True, labelright=True,
                                  left=False, labelleft=False)
+            self.set_offset_position(position)
         elif position == 'left':
             self.set_tick_params(which='both', right=False, labelright=False,
                                  left=True, labelleft=True)
+            self.set_offset_position(position)
         elif position == 'both':
             self.set_tick_params(which='both', right=True,
                                  left=True)
@@ -2133,99 +2742,72 @@ def set_ticks_position(self, position):
             self.set_tick_params(which='both', right=True, labelright=False,
                                  left=True, labelleft=True)
         else:
-            raise ValueError("invalid position: %s" % position)
+            _api.check_in_list(['left', 'right', 'both', 'default', 'none'],
+                               position=position)
+        self.stale = True
 
     def tick_right(self):
-        'use ticks only on right'
+        """
+        Move ticks and ticklabels (if present) to the right of the Axes.
+        """
+        label = True
+        if 'label1On' in self._major_tick_kw:
+            label = (self._major_tick_kw['label1On']
+                     or self._major_tick_kw['label2On'])
         self.set_ticks_position('right')
+        # if labels were turned off before this was called
+        # leave them off
+        self.set_tick_params(which='both', labelright=label)
 
     def tick_left(self):
-        'use ticks only on left'
+        """
+        Move ticks and ticklabels (if present) to the left of the Axes.
+        """
+        label = True
+        if 'label1On' in self._major_tick_kw:
+            label = (self._major_tick_kw['label1On']
+                     or self._major_tick_kw['label2On'])
         self.set_ticks_position('left')
+        # if labels were turned off before this was called
+        # leave them off
+        self.set_tick_params(which='both', labelleft=label)
 
     def get_ticks_position(self):
         """
-        Return the ticks position (left, right, both or unknown)
-        """
-        majt = self.majorTicks[0]
-        mT = self.minorTicks[0]
-
-        majorRight = ((not majt.tick1On) and majt.tick2On
-                      and (not majt.label1On) and majt.label2On)
-        minorRight = ((not mT.tick1On) and mT.tick2On and
-                      (not mT.label1On) and mT.label2On)
-        if majorRight and minorRight:
-            return 'right'
-
-        majorLeft = (majt.tick1On and (not majt.tick2On) and
-                     majt.label1On and (not majt.label2On))
-        minorLeft = (mT.tick1On and (not mT.tick2On) and
-                     mT.label1On and (not mT.label2On))
-        if majorLeft and minorLeft:
-            return 'left'
-
-        majorDefault = (majt.tick1On and majt.tick2On and
-                        majt.label1On and (not majt.label2On))
-        minorDefault = (mT.tick1On and mT.tick2On and
-                        mT.label1On and (not mT.label2On))
-        if majorDefault and minorDefault:
-            return 'default'
-
-        return 'unknown'
-
-    def get_view_interval(self):
-        'return the Interval instance for this axis view limits'
-        return self.axes.viewLim.intervaly
-
-    def set_view_interval(self, vmin, vmax, ignore=False):
+        Return the ticks position ("left", "right", "default", or "unknown").
         """
-        If *ignore* is *False*, the order of vmin, vmax
-        does not matter; the original axis orientation will
-        be preserved. In addition, the view limits can be
-        expanded, but will not be reduced.  This method is
-        for mpl internal use; for normal use, see
-        :meth:`~matplotlib.axes.Axes.set_ylim`.
+        return {1: "left", 2: "right",
+                "default": "default", "unknown": "unknown"}[
+                    self._get_ticks_position()]
 
-        """
-        if ignore:
-            self.axes.viewLim.intervaly = vmin, vmax
-        else:
-            Vmin, Vmax = self.get_view_interval()
-            if Vmin < Vmax:
-                self.axes.viewLim.intervaly = (min(vmin, vmax, Vmin),
-                                               max(vmin, vmax, Vmax))
-            else:
-                self.axes.viewLim.intervaly = (max(vmin, vmax, Vmin),
-                                               min(vmin, vmax, Vmax))
+    get_view_interval, set_view_interval = _make_getset_interval(
+        "view", "viewLim", "intervaly")
+    get_data_interval, set_data_interval = _make_getset_interval(
+        "data", "dataLim", "intervaly")
 
     def get_minpos(self):
         return self.axes.dataLim.minposy
 
-    def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
-        return self.axes.dataLim.intervaly
-
-    def set_data_interval(self, vmin, vmax, ignore=False):
-        'set the axis data limits'
-        if ignore:
-            self.axes.dataLim.intervaly = vmin, vmax
-        else:
-            Vmin, Vmax = self.get_data_interval()
-            self.axes.dataLim.intervaly = min(vmin, Vmin), max(vmax, Vmax)
-
     def set_default_intervals(self):
-        'set the default limits for the axis interval if they are not mutated'
-        ymin, ymax = 0., 1.
-        dataMutated = self.axes.dataLim.mutatedy()
-        viewMutated = self.axes.viewLim.mutatedy()
-        if not dataMutated or not viewMutated:
-            if self.converter is not None:
-                info = self.converter.axisinfo(self.units, self)
+        # docstring inherited
+        # only change view if dataLim has not changed and user has
+        # not changed the view:
+        if (not self.axes.dataLim.mutatedy() and
+                not self.axes.viewLim.mutatedy()):
+            if self._converter is not None:
+                info = self._converter.axisinfo(self.units, self)
                 if info.default_limits is not None:
-                    valmin, valmax = info.default_limits
-                    ymin = self.converter.convert(valmin, self.units, self)
-                    ymax = self.converter.convert(valmax, self.units, self)
-            if not dataMutated:
-                self.axes.dataLim.intervaly = ymin, ymax
-            if not viewMutated:
-                self.axes.viewLim.intervaly = ymin, ymax
+                    ymin, ymax = self.convert_units(info.default_limits)
+                    self.axes.viewLim.intervaly = ymin, ymax
+        self.stale = True
+
+    def get_tick_space(self):
+        ends = mtransforms.Bbox.unit().transformed(
+            self.axes.transAxes - self.get_figure(root=False).dpi_scale_trans)
+        length = ends.height * 72
+        # Having a spacing of at least 2 just looks good.
+        size = self._get_tick_label_size('y') * 2
+        if size > 0:
+            return int(np.floor(length / size))
+        else:
+            return 2**31 - 1
diff --git a/lib/matplotlib/axis.pyi b/lib/matplotlib/axis.pyi
new file mode 100644
index 000000000000..6119b946fd7b
--- /dev/null
+++ b/lib/matplotlib/axis.pyi
@@ -0,0 +1,281 @@
+from collections.abc import Callable, Iterable, Sequence
+import datetime
+from typing import Any, Literal, overload
+from typing_extensions import Self  # < Py 3.11
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+import matplotlib.artist as martist
+from matplotlib import cbook
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import RendererBase
+from matplotlib.lines import Line2D
+from matplotlib.text import Text
+from matplotlib.ticker import Locator, Formatter
+from matplotlib.transforms import Transform, Bbox
+from matplotlib.typing import ColorType
+from matplotlib.units import ConversionInterface
+
+
+GRIDLINE_INTERPOLATION_STEPS: int
+
+class Tick(martist.Artist):
+    axes: Axes
+    tick1line: Line2D
+    tick2line: Line2D
+    gridline: Line2D
+    label1: Text
+    label2: Text
+    def __init__(
+        self,
+        axes: Axes,
+        loc: float,
+        *,
+        size: float | None = ...,
+        width: float | None = ...,
+        color: ColorType | None = ...,
+        tickdir: Literal["in", "inout", "out"] | None = ...,
+        pad: float | None = ...,
+        labelsize: float | None = ...,
+        labelcolor: ColorType | None = ...,
+        labelfontfamily: str | Sequence[str] | None = ...,
+        zorder: float | None = ...,
+        gridOn: bool | None = ...,
+        tick1On: bool = ...,
+        tick2On: bool = ...,
+        label1On: bool = ...,
+        label2On: bool = ...,
+        major: bool = ...,
+        labelrotation: float = ...,
+        labelrotation_mode: Literal["default", "anchor", "xtick", "ytick"] | None = ...,
+        grid_color: ColorType | None = ...,
+        grid_linestyle: str | None = ...,
+        grid_linewidth: float | None = ...,
+        grid_alpha: float | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_tickdir(self) -> Literal["in", "inout", "out"]: ...
+    def get_tick_padding(self) -> float: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    stale: bool
+    def set_pad(self, val: float) -> None: ...
+    def get_pad(self) -> None: ...
+    def get_loc(self) -> float: ...
+    def set_url(self, url: str | None) -> None: ...
+    def get_view_interval(self) -> ArrayLike: ...
+    def update_position(self, loc: float) -> None: ...
+
+class XTick(Tick):
+    __name__: str
+    def __init__(self, *args, **kwargs) -> None: ...
+    stale: bool
+    def update_position(self, loc: float) -> None: ...
+    def get_view_interval(self) -> np.ndarray: ...
+
+class YTick(Tick):
+    __name__: str
+    def __init__(self, *args, **kwargs) -> None: ...
+    stale: bool
+    def update_position(self, loc: float) -> None: ...
+    def get_view_interval(self) -> np.ndarray: ...
+
+class Ticker:
+    def __init__(self) -> None: ...
+    @property
+    def locator(self) -> Locator | None: ...
+    @locator.setter
+    def locator(self, locator: Locator) -> None: ...
+    @property
+    def formatter(self) -> Formatter | None: ...
+    @formatter.setter
+    def formatter(self, formatter: Formatter) -> None: ...
+
+class _LazyTickList:
+    def __init__(self, major: bool) -> None: ...
+    @overload
+    def __get__(self, instance: None, owner: None) -> Self: ...
+    @overload
+    def __get__(self, instance: Axis, owner: type[Axis]) -> list[Tick]: ...
+
+class Axis(martist.Artist):
+    OFFSETTEXTPAD: int
+    isDefault_label: bool
+    axes: Axes
+    major: Ticker
+    minor: Ticker
+    callbacks: cbook.CallbackRegistry
+    label: Text
+    offsetText: Text
+    labelpad: float
+    pickradius: float
+    def __init__(self, axes, *, pickradius: float = ...,
+                 clear: bool = ...) -> None: ...
+    @property
+    def isDefault_majloc(self) -> bool: ...
+    @isDefault_majloc.setter
+    def isDefault_majloc(self, value: bool) -> None: ...
+    @property
+    def isDefault_majfmt(self) -> bool: ...
+    @isDefault_majfmt.setter
+    def isDefault_majfmt(self, value: bool) -> None: ...
+    @property
+    def isDefault_minloc(self) -> bool: ...
+    @isDefault_minloc.setter
+    def isDefault_minloc(self, value: bool) -> None: ...
+    @property
+    def isDefault_minfmt(self) -> bool: ...
+    @isDefault_minfmt.setter
+    def isDefault_minfmt(self, value: bool) -> None: ...
+    majorTicks: _LazyTickList
+    minorTicks: _LazyTickList
+    def get_remove_overlapping_locs(self) -> bool: ...
+    def set_remove_overlapping_locs(self, val: bool) -> None: ...
+    @property
+    def remove_overlapping_locs(self) -> bool: ...
+    @remove_overlapping_locs.setter
+    def remove_overlapping_locs(self, val: bool) -> None: ...
+    stale: bool
+    def set_label_coords(
+        self, x: float, y: float, transform: Transform | None = ...
+    ) -> None: ...
+    def get_transform(self) -> Transform: ...
+    def get_scale(self) -> str: ...
+    def limit_range_for_scale(
+        self, vmin: float, vmax: float
+    ) -> tuple[float, float]: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    # TODO units
+    converter: Any
+    units: Any
+    def clear(self) -> None: ...
+    def reset_ticks(self) -> None: ...
+    def minorticks_on(self) -> None: ...
+    def minorticks_off(self) -> None: ...
+    def set_tick_params(
+        self,
+        which: Literal["major", "minor", "both"] = ...,
+        reset: bool = ...,
+        **kwargs
+    ) -> None: ...
+    def get_tick_params(
+        self, which: Literal["major", "minor"] = ...
+    ) -> dict[str, Any]: ...
+    def get_view_interval(self) -> tuple[float, float]: ...
+    def set_view_interval(
+        self, vmin: float, vmax: float, ignore: bool = ...
+    ) -> None: ...
+    def get_data_interval(self) -> tuple[float, float]: ...
+    def set_data_interval(
+        self, vmin: float, vmax: float, ignore: bool = ...
+    ) -> None: ...
+    def get_inverted(self) -> bool: ...
+    def set_inverted(self, inverted: bool) -> None: ...
+    def set_default_intervals(self) -> None: ...
+    def get_tightbbox(
+        self, renderer: RendererBase | None = ..., *, for_layout_only: bool = ...
+    ) -> Bbox | None: ...
+    def get_tick_padding(self) -> float: ...
+    def get_gridlines(self) -> list[Line2D]: ...
+    def get_label(self) -> Text: ...
+    def get_offset_text(self) -> Text: ...
+    def get_pickradius(self) -> float: ...
+    def get_majorticklabels(self) -> list[Text]: ...
+    def get_minorticklabels(self) -> list[Text]: ...
+    def get_ticklabels(
+        self, minor: bool = ..., which: Literal["major", "minor", "both"] | None = ...
+    ) -> list[Text]: ...
+    def get_majorticklines(self) -> list[Line2D]: ...
+    def get_minorticklines(self) -> list[Line2D]: ...
+    def get_ticklines(self, minor: bool = ...) -> list[Line2D]: ...
+    def get_majorticklocs(self) -> np.ndarray: ...
+    def get_minorticklocs(self) -> np.ndarray: ...
+    def get_ticklocs(self, *, minor: bool = ...) -> np.ndarray: ...
+    def get_ticks_direction(self, minor: bool = ...) -> np.ndarray: ...
+    def get_label_text(self) -> str: ...
+    def get_major_locator(self) -> Locator: ...
+    def get_minor_locator(self) -> Locator: ...
+    def get_major_formatter(self) -> Formatter: ...
+    def get_minor_formatter(self) -> Formatter: ...
+    def get_major_ticks(self, numticks: int | None = ...) -> list[Tick]: ...
+    def get_minor_ticks(self, numticks: int | None = ...) -> list[Tick]: ...
+    def grid(
+        self,
+        visible: bool | None = ...,
+        which: Literal["major", "minor", "both"] = ...,
+        **kwargs
+    ) -> None: ...
+    # TODO units
+    def update_units(self, data): ...
+    def have_units(self) -> bool: ...
+    def convert_units(self, x): ...
+    def get_converter(self) -> ConversionInterface | None: ...
+    def set_converter(self, converter: ConversionInterface) -> None: ...
+    def set_units(self, u) -> None: ...
+    def get_units(self): ...
+    def set_label_text(
+        self, label: str, fontdict: dict[str, Any] | None = ..., **kwargs
+    ) -> Text: ...
+    def set_major_formatter(
+        self, formatter: Formatter | str | Callable[[float, float], str]
+    ) -> None: ...
+    def set_minor_formatter(
+        self, formatter: Formatter | str | Callable[[float, float], str]
+    ) -> None: ...
+    def set_major_locator(self, locator: Locator) -> None: ...
+    def set_minor_locator(self, locator: Locator) -> None: ...
+    def set_pickradius(self, pickradius: float) -> None: ...
+    def set_ticklabels(
+        self,
+        labels: Iterable[str | Text],
+        *,
+        minor: bool = ...,
+        fontdict: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> list[Text]: ...
+    def set_ticks(
+        self,
+        ticks: ArrayLike,
+        labels: Iterable[str] | None = ...,
+        *,
+        minor: bool = ...,
+        **kwargs
+    ) -> list[Tick]: ...
+    def axis_date(self, tz: str | datetime.tzinfo | None = ...) -> None: ...
+    def get_tick_space(self) -> int: ...
+    def get_label_position(self) -> Literal["top", "bottom"]: ...
+    def set_label_position(
+        self, position: Literal["top", "bottom", "left", "right"]
+    ) -> None: ...
+    def get_minpos(self) -> float: ...
+
+class XAxis(Axis):
+    __name__: str
+    axis_name: str
+    def __init__(self, *args, **kwargs) -> None: ...
+    label_position: Literal["bottom", "top"]
+    stale: bool
+    def set_label_position(self, position: Literal["bottom", "top"]) -> None: ...  # type: ignore[override]
+    def set_ticks_position(
+        self, position: Literal["top", "bottom", "both", "default", "none"]
+    ) -> None: ...
+    def tick_top(self) -> None: ...
+    def tick_bottom(self) -> None: ...
+    def get_ticks_position(self) -> Literal["top", "bottom", "default", "unknown"]: ...
+    def get_tick_space(self) -> int: ...
+
+class YAxis(Axis):
+    __name__: str
+    axis_name: str
+    def __init__(self, *args, **kwargs) -> None: ...
+    label_position: Literal["left", "right"]
+    stale: bool
+    def set_label_position(self, position: Literal["left", "right"]) -> None: ...  # type: ignore[override]
+    def set_offset_position(self, position: Literal["left", "right"]) -> None: ...
+    def set_ticks_position(
+        self, position: Literal["left", "right", "both", "default", "none"]
+    ) -> None: ...
+    def tick_right(self) -> None: ...
+    def tick_left(self) -> None: ...
+    def get_ticks_position(self) -> Literal["left", "right", "default", "unknown"]: ...
+    def get_tick_space(self) -> int: ...
diff --git a/lib/matplotlib/backend_bases.py b/lib/matplotlib/backend_bases.py
index 6cffc33613b6..527d8c010710 100644
--- a/lib/matplotlib/backend_bases.py
+++ b/lib/matplotlib/backend_bases.py
@@ -1,101 +1,98 @@
 """
 Abstract base classes define the primitives that renderers and
-graphics contexts must implement to serve as a matplotlib backend
+graphics contexts must implement to serve as a Matplotlib backend.
 
-:class:`RendererBase`
+`RendererBase`
     An abstract base class to handle drawing/rendering operations.
 
-:class:`FigureCanvasBase`
-    The abstraction layer that separates the
-    :class:`matplotlib.figure.Figure` from the backend specific
-    details like a user interface drawing area
+`FigureCanvasBase`
+    The abstraction layer that separates the `.Figure` from the backend
+    specific details like a user interface drawing area.
 
-:class:`GraphicsContextBase`
-    An abstract base class that provides color, line styles, etc...
+`GraphicsContextBase`
+    An abstract base class that provides color, line styles, etc.
 
-:class:`Event`
-    The base class for all of the matplotlib event
-    handling.  Derived classes suh as :class:`KeyEvent` and
-    :class:`MouseEvent` store the meta data like keys and buttons
-    pressed, x and y locations in pixel and
-    :class:`~matplotlib.axes.Axes` coordinates.
+`Event`
+    The base class for all of the Matplotlib event handling.  Derived classes
+    such as `KeyEvent` and `MouseEvent` store the meta data like keys and
+    buttons pressed, x and y locations in pixel and `~.axes.Axes` coordinates.
 
-:class:`ShowBase`
-    The base class for the Show class of each interactive backend;
-    the 'show' callable is then set to Show.__call__, inherited from
-    ShowBase.
+`ShowBase`
+    The base class for the ``Show`` class of each interactive backend; the
+    'show' callable is then set to ``Show.__call__``.
 
+`ToolContainerBase`
+    The base class for the Toolbar class of each interactive backend.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
+from collections import namedtuple
+from contextlib import ExitStack, contextmanager, nullcontext
+from enum import Enum, IntEnum
+import functools
+import importlib
+import inspect
+import io
+import itertools
+import logging
 import os
+import pathlib
+import signal
+import socket
 import sys
-import warnings
 import time
-import io
+import weakref
+from weakref import WeakKeyDictionary
 
 import numpy as np
-import matplotlib.cbook as cbook
-import matplotlib.colors as colors
-import matplotlib.transforms as transforms
-import matplotlib.widgets as widgets
-#import matplotlib.path as path
-from matplotlib import rcParams
-from matplotlib import is_interactive
-from matplotlib import get_backend
-from matplotlib._pylab_helpers import Gcf
-
-from matplotlib.transforms import Bbox, TransformedBbox, Affine2D
 
-import matplotlib.tight_bbox as tight_bbox
-import matplotlib.textpath as textpath
+import matplotlib as mpl
+from matplotlib import (
+    _api, backend_tools as tools, cbook, colors, _docstring, text,
+    _tight_bbox, transforms, widgets, is_interactive, rcParams)
+from matplotlib._pylab_helpers import Gcf
+from matplotlib.backend_managers import ToolManager
+from matplotlib.cbook import _setattr_cm
+from matplotlib.layout_engine import ConstrainedLayoutEngine
 from matplotlib.path import Path
-from matplotlib.cbook import mplDeprecation
-
-try:
-    from importlib import import_module
-except:
-    # simple python 2.6 implementation (no relative imports)
-    def import_module(name):
-        __import__(name)
-        return sys.modules[name]
-
-try:
-    from PIL import Image
-    _has_pil = True
-    del Image
-except ImportError:
-    _has_pil = False
+from matplotlib.texmanager import TexManager
+from matplotlib.transforms import Affine2D
+from matplotlib._enums import JoinStyle, CapStyle
 
 
+_log = logging.getLogger(__name__)
 _default_filetypes = {
-    'ps': 'Postscript',
     'eps': 'Encapsulated Postscript',
+    'gif': 'Graphics Interchange Format',
+    'jpg': 'Joint Photographic Experts Group',
+    'jpeg': 'Joint Photographic Experts Group',
     'pdf': 'Portable Document Format',
     'pgf': 'PGF code for LaTeX',
     'png': 'Portable Network Graphics',
+    'ps': 'Postscript',
     'raw': 'Raw RGBA bitmap',
     'rgba': 'Raw RGBA bitmap',
     'svg': 'Scalable Vector Graphics',
-    'svgz': 'Scalable Vector Graphics'
+    'svgz': 'Scalable Vector Graphics',
+    'tif': 'Tagged Image File Format',
+    'tiff': 'Tagged Image File Format',
+    'webp': 'WebP Image Format',
 }
-
-
 _default_backends = {
-    'ps': 'matplotlib.backends.backend_ps',
     'eps': 'matplotlib.backends.backend_ps',
+    'gif': 'matplotlib.backends.backend_agg',
+    'jpg': 'matplotlib.backends.backend_agg',
+    'jpeg': 'matplotlib.backends.backend_agg',
     'pdf': 'matplotlib.backends.backend_pdf',
     'pgf': 'matplotlib.backends.backend_pgf',
     'png': 'matplotlib.backends.backend_agg',
+    'ps': 'matplotlib.backends.backend_ps',
     'raw': 'matplotlib.backends.backend_agg',
     'rgba': 'matplotlib.backends.backend_agg',
     'svg': 'matplotlib.backends.backend_svg',
     'svgz': 'matplotlib.backends.backend_svg',
+    'tif': 'matplotlib.backends.backend_agg',
+    'tiff': 'matplotlib.backends.backend_agg',
+    'webp': 'matplotlib.backends.backend_agg',
 }
 
 
@@ -103,14 +100,14 @@ def register_backend(format, backend, description=None):
     """
     Register a backend for saving to a given file format.
 
+    Parameters
+    ----------
     format : str
-        File extention
-
+        File extension
     backend : module string or canvas class
         Backend for handling file output
-
-    description : str, optional
-        Description of the file type.  Defaults to an empty string
+    description : str, default: ""
+        Description of the file type.
     """
     if description is None:
         description = ''
@@ -126,136 +123,79 @@ def get_registered_canvas_class(format):
     if format not in _default_backends:
         return None
     backend_class = _default_backends[format]
-    if cbook.is_string_like(backend_class):
-        backend_class = import_module(backend_class).FigureCanvas
+    if isinstance(backend_class, str):
+        backend_class = importlib.import_module(backend_class).FigureCanvas
         _default_backends[format] = backend_class
     return backend_class
 
 
-class ShowBase(object):
-    """
-    Simple base class to generate a show() callable in backends.
-
-    Subclass must override mainloop() method.
+class RendererBase:
     """
-    def __call__(self, block=None):
-        """
-        Show all figures.  If *block* is not None, then
-        it is a boolean that overrides all other factors
-        determining whether show blocks by calling mainloop().
-        The other factors are:
-        it does not block if run inside ipython's "%pylab" mode
-        it does not block in interactive mode.
-        """
-        managers = Gcf.get_all_fig_managers()
-        if not managers:
-            return
-
-        for manager in managers:
-            manager.show()
-
-        if block is not None:
-            if block:
-                self.mainloop()
-                return
-            else:
-                return
-
-        # Hack: determine at runtime whether we are
-        # inside ipython in pylab mode.
-        from matplotlib import pyplot
-        try:
-            ipython_pylab = not pyplot.show._needmain
-            # IPython versions >= 0.10 tack the _needmain
-            # attribute onto pyplot.show, and always set
-            # it to False, when in %pylab mode.
-            ipython_pylab = ipython_pylab and get_backend() != 'WebAgg'
-            # TODO: The above is a hack to get the WebAgg backend
-            # working with ipython's `%pylab` mode until proper
-            # integration is implemented.
-        except AttributeError:
-            ipython_pylab = False
-
-        # Leave the following as a separate step in case we
-        # want to control this behavior with an rcParam.
-        if ipython_pylab:
-            return
-
-        if not is_interactive() or get_backend() == 'WebAgg':
-            self.mainloop()
-
-    def mainloop(self):
-        pass
-
-
-class RendererBase(object):
-    """An abstract base class to handle drawing/rendering operations.
+    An abstract base class to handle drawing/rendering operations.
 
     The following methods must be implemented in the backend for full
-    functionality (though just implementing :meth:`draw_path` alone would
-    give a highly capable backend):
+    functionality (though just implementing `draw_path` alone would give a
+    highly capable backend):
 
-    * :meth:`draw_path`
-    * :meth:`draw_image`
-    * :meth:`draw_gouraud_triangle`
+    * `draw_path`
+    * `draw_image`
+    * `draw_gouraud_triangles`
 
     The following methods *should* be implemented in the backend for
     optimization reasons:
 
-    * :meth:`draw_text`
-    * :meth:`draw_markers`
-    * :meth:`draw_path_collection`
-    * :meth:`draw_quad_mesh`
-
+    * `draw_text`
+    * `draw_markers`
+    * `draw_path_collection`
+    * `draw_quad_mesh`
     """
     def __init__(self):
+        super().__init__()
         self._texmanager = None
-
-        self._text2path = textpath.TextToPath()
+        self._text2path = text.TextToPath()
+        self._raster_depth = 0
+        self._rasterizing = False
 
     def open_group(self, s, gid=None):
         """
-        Open a grouping element with label *s*. If *gid* is given, use
-        *gid* as the id of the group. Is only currently used by
-        :mod:`~matplotlib.backends.backend_svg`.
+        Open a grouping element with label *s* and *gid* (if set) as id.
+
+        Only used by the SVG renderer.
         """
-        pass
 
     def close_group(self, s):
         """
-        Close a grouping element with label *s*
-        Is only currently used by :mod:`~matplotlib.backends.backend_svg`
+        Close a grouping element with label *s*.
+
+        Only used by the SVG renderer.
         """
-        pass
 
     def draw_path(self, gc, path, transform, rgbFace=None):
-        """
-        Draws a :class:`~matplotlib.path.Path` instance using the
-        given affine transform.
-        """
+        """Draw a `~.path.Path` instance using the given affine transform."""
         raise NotImplementedError
 
     def draw_markers(self, gc, marker_path, marker_trans, path,
                      trans, rgbFace=None):
         """
-        Draws a marker at each of the vertices in path.  This includes
-        all vertices, including control points on curves.  To avoid
-        that behavior, those vertices should be removed before calling
-        this function.
+        Draw a marker at each of *path*'s vertices (excluding control points).
 
-        *gc*
-            the :class:`GraphicsContextBase` instance
+        The base (fallback) implementation makes multiple calls to `draw_path`.
+        Backends may want to override this method in order to draw the marker
+        only once and reuse it multiple times.
 
-        *marker_trans*
-            is an affine transform applied to the marker.
-
-        *trans*
-             is an affine transform applied to the path.
-
-        This provides a fallback implementation of draw_markers that
-        makes multiple calls to :meth:`draw_path`.  Some backends may
-        want to override this method in order to draw the marker only
-        once and reuse it multiple times.
+        Parameters
+        ----------
+        gc : `.GraphicsContextBase`
+            The graphics context.
+        marker_path : `~matplotlib.path.Path`
+            The path for the marker.
+        marker_trans : `~matplotlib.transforms.Transform`
+            An affine transform applied to the marker.
+        path : `~matplotlib.path.Path`
+            The locations to draw the markers.
+        trans : `~matplotlib.transforms.Transform`
+            An affine transform applied to the path.
+        rgbFace : :mpltype:`color`, optional
         """
         for vertices, codes in path.iter_segments(trans, simplify=False):
             if len(vertices):
@@ -266,110 +206,109 @@ def draw_markers(self, gc, marker_path, marker_trans, path,
                                rgbFace)
 
     def draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
+                             offsets, offset_trans, facecolors, edgecolors,
                              linewidths, linestyles, antialiaseds, urls,
-                             offset_position):
-        """
-        Draws a collection of paths selecting drawing properties from
-        the lists *facecolors*, *edgecolors*, *linewidths*,
-        *linestyles* and *antialiaseds*. *offsets* is a list of
-        offsets to apply to each of the paths.  The offsets in
-        *offsets* are first transformed by *offsetTrans* before being
-        applied.  *offset_position* may be either "screen" or "data"
-        depending on the space that the offsets are in.
-
-        This provides a fallback implementation of
-        :meth:`draw_path_collection` that makes multiple calls to
-        :meth:`draw_path`.  Some backends may want to override this in
-        order to render each set of path data only once, and then
-        reference that path multiple times with the different offsets,
-        colors, styles etc.  The generator methods
-        :meth:`_iter_collection_raw_paths` and
-        :meth:`_iter_collection` are provided to help with (and
-        standardize) the implementation across backends.  It is highly
-        recommended to use those generators, so that changes to the
-        behavior of :meth:`draw_path_collection` can be made globally.
-        """
-        path_ids = []
-        for path, transform in self._iter_collection_raw_paths(
-                master_transform, paths, all_transforms):
-            path_ids.append((path, transforms.Affine2D(transform)))
+                             offset_position, *, hatchcolors=None):
+        """
+        Draw a collection of *paths*.
+
+        Each path is first transformed by the corresponding entry
+        in *all_transforms* (a list of (3, 3) matrices) and then by
+        *master_transform*.  They are then translated by the corresponding
+        entry in *offsets*, which has been first transformed by *offset_trans*.
+
+        *facecolors*, *edgecolors*, *linewidths*, *linestyles*, *antialiased*
+        and *hatchcolors* are lists that set the corresponding properties.
+
+        .. versionadded:: 3.11
+            Allow *hatchcolors* to be specified.
+
+        *offset_position* is unused now, but the argument is kept for
+        backwards compatibility.
+
+        The base (fallback) implementation makes multiple calls to `draw_path`.
+        Backends may want to override this in order to render each set of
+        path data only once, and then reference that path multiple times with
+        the different offsets, colors, styles etc.  The generator methods
+        `!_iter_collection_raw_paths` and `!_iter_collection` are provided to
+        help with (and standardize) the implementation across backends.  It
+        is highly recommended to use those generators, so that changes to the
+        behavior of `draw_path_collection` can be made globally.
+        """
+        path_ids = self._iter_collection_raw_paths(master_transform,
+                                                   paths, all_transforms)
+
+        if hatchcolors is None:
+            hatchcolors = []
 
         for xo, yo, path_id, gc0, rgbFace in self._iter_collection(
-            gc, master_transform, all_transforms, path_ids, offsets,
-            offsetTrans, facecolors, edgecolors, linewidths, linestyles,
-                antialiaseds, urls, offset_position):
+                gc, list(path_ids), offsets, offset_trans,
+                facecolors, edgecolors, linewidths, linestyles,
+                antialiaseds, urls, offset_position, hatchcolors=hatchcolors):
             path, transform = path_id
-            transform = transforms.Affine2D(
-                            transform.get_matrix()).translate(xo, yo)
+            # Only apply another translation if we have an offset, else we
+            # reuse the initial transform.
+            if xo != 0 or yo != 0:
+                # The transformation can be used by multiple paths. Since
+                # translate is a inplace operation, we need to copy the
+                # transformation by .frozen() before applying the translation.
+                transform = transform.frozen()
+                transform.translate(xo, yo)
             self.draw_path(gc0, path, transform, rgbFace)
 
     def draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
                        coordinates, offsets, offsetTrans, facecolors,
                        antialiased, edgecolors):
         """
-        This provides a fallback implementation of
-        :meth:`draw_quad_mesh` that generates paths and then calls
-        :meth:`draw_path_collection`.
+        Draw a quadmesh.
+
+        The base (fallback) implementation converts the quadmesh to paths and
+        then calls `draw_path_collection`.
         """
 
         from matplotlib.collections import QuadMesh
-        paths = QuadMesh.convert_mesh_to_paths(
-            meshWidth, meshHeight, coordinates)
+        paths = QuadMesh._convert_mesh_to_paths(coordinates)
 
         if edgecolors is None:
             edgecolors = facecolors
-        linewidths = np.array([gc.get_linewidth()], np.float_)
+        linewidths = np.array([gc.get_linewidth()], float)
 
         return self.draw_path_collection(
             gc, master_transform, paths, [], offsets, offsetTrans, facecolors,
             edgecolors, linewidths, [], [antialiased], [None], 'screen')
 
-    def draw_gouraud_triangle(self, gc, points, colors, transform):
-        """
-        Draw a Gouraud-shaded triangle.
-
-        *points* is a 3x2 array of (x, y) points for the triangle.
-
-        *colors* is a 3x4 array of RGBA colors for each point of the
-        triangle.
-
-        *transform* is an affine transform to apply to the points.
-        """
-        raise NotImplementedError
-
     def draw_gouraud_triangles(self, gc, triangles_array, colors_array,
                                transform):
         """
-        Draws a series of Gouraud triangles.
+        Draw a series of Gouraud triangles.
 
-        *points* is a Nx3x2 array of (x, y) points for the trianglex.
-
-        *colors* is a Nx3x4 array of RGBA colors for each point of the
-        triangles.
-
-        *transform* is an affine transform to apply to the points.
+        Parameters
+        ----------
+        gc : `.GraphicsContextBase`
+            The graphics context.
+        triangles_array : (N, 3, 2) array-like
+            Array of *N* (x, y) points for the triangles.
+        colors_array : (N, 3, 4) array-like
+            Array of *N* RGBA colors for each point of the triangles.
+        transform : `~matplotlib.transforms.Transform`
+            An affine transform to apply to the points.
         """
-        transform = transform.frozen()
-        for tri, col in zip(triangles_array, colors_array):
-            self.draw_gouraud_triangle(gc, tri, col, transform)
+        raise NotImplementedError
 
     def _iter_collection_raw_paths(self, master_transform, paths,
                                    all_transforms):
         """
-        This is a helper method (along with :meth:`_iter_collection`) to make
-        it easier to write a space-efficent :meth:`draw_path_collection`
-        implementation in a backend.
+        Helper method (along with `_iter_collection`) to implement
+        `draw_path_collection` in a memory-efficient manner.
 
-        This method yields all of the base path/transform
-        combinations, given a master transform, a list of paths and
-        list of transforms.
+        This method yields all of the base path/transform combinations, given a
+        master transform, a list of paths and list of transforms.
 
         The arguments should be exactly what is passed in to
-        :meth:`draw_path_collection`.
+        `draw_path_collection`.
 
-        The backend should take each yielded path and transform and
-        create an object that can be referenced (reused) later.
+        The backend should take each yielded path and transform and create an
+        object that can be referenced (reused) later.
         """
         Npaths = len(paths)
         Ntransforms = len(all_transforms)
@@ -379,7 +318,7 @@ def _iter_collection_raw_paths(self, master_transform, paths,
             return
 
         transform = transforms.IdentityTransform()
-        for i in xrange(N):
+        for i in range(N):
             path = paths[i % Npaths]
             if Ntransforms:
                 transform = Affine2D(all_transforms[i % Ntransforms])
@@ -389,39 +328,35 @@ def _iter_collection_uses_per_path(self, paths, all_transforms,
                                        offsets, facecolors, edgecolors):
         """
         Compute how many times each raw path object returned by
-        _iter_collection_raw_paths would be used when calling
-        _iter_collection. This is intended for the backend to decide
+        `_iter_collection_raw_paths` would be used when calling
+        `_iter_collection`. This is intended for the backend to decide
         on the tradeoff between using the paths in-line and storing
         them once and reusing. Rounds up in case the number of uses
         is not the same for every path.
         """
         Npaths = len(paths)
-        if Npaths == 0 or (len(facecolors) == 0 and len(edgecolors) == 0):
+        if Npaths == 0 or len(facecolors) == len(edgecolors) == 0:
             return 0
         Npath_ids = max(Npaths, len(all_transforms))
         N = max(Npath_ids, len(offsets))
         return (N + Npath_ids - 1) // Npath_ids
 
-    def _iter_collection(self, gc, master_transform, all_transforms,
-                         path_ids, offsets, offsetTrans, facecolors,
+    def _iter_collection(self, gc, path_ids, offsets, offset_trans, facecolors,
                          edgecolors, linewidths, linestyles,
-                         antialiaseds, urls, offset_position):
+                         antialiaseds, urls, offset_position, *, hatchcolors):
         """
-        This is a helper method (along with
-        :meth:`_iter_collection_raw_paths`) to make it easier to write
-        a space-efficent :meth:`draw_path_collection` implementation in a
-        backend.
+        Helper method (along with `_iter_collection_raw_paths`) to implement
+        `draw_path_collection` in a memory-efficient manner.
 
-        This method yields all of the path, offset and graphics
-        context combinations to draw the path collection.  The caller
-        should already have looped over the results of
-        :meth:`_iter_collection_raw_paths` to draw this collection.
+        This method yields all of the path, offset and graphics context
+        combinations to draw the path collection.  The caller should already
+        have looped over the results of `_iter_collection_raw_paths` to draw
+        this collection.
 
         The arguments should be the same as that passed into
-        :meth:`draw_path_collection`, with the exception of
-        *path_ids*, which is a list of arbitrary objects that the
-        backend will use to reference one of the paths created in the
-        :meth:`_iter_collection_raw_paths` stage.
+        `draw_path_collection`, with the exception of *path_ids*, which is a
+        list of arbitrary objects that the backend will use to reference one of
+        the paths created in the `_iter_collection_raw_paths` stage.
 
         Each yielded result is of the form::
 
@@ -431,237 +366,218 @@ def _iter_collection(self, gc, master_transform, all_transforms,
         *path_ids*; *gc* is a graphics context and *rgbFace* is a color to
         use for filling the path.
         """
-        Ntransforms = len(all_transforms)
         Npaths = len(path_ids)
         Noffsets = len(offsets)
         N = max(Npaths, Noffsets)
         Nfacecolors = len(facecolors)
         Nedgecolors = len(edgecolors)
+        Nhatchcolors = len(hatchcolors)
         Nlinewidths = len(linewidths)
         Nlinestyles = len(linestyles)
-        Naa = len(antialiaseds)
         Nurls = len(urls)
 
-        if (Nfacecolors == 0 and Nedgecolors == 0) or Npaths == 0:
+        if (Nfacecolors == 0 and Nedgecolors == 0 and Nhatchcolors == 0) or Npaths == 0:
             return
-        if Noffsets:
-            toffsets = offsetTrans.transform(offsets)
 
         gc0 = self.new_gc()
         gc0.copy_properties(gc)
 
-        if Nfacecolors == 0:
-            rgbFace = None
+        def cycle_or_default(seq, default=None):
+            # Cycle over *seq* if it is not empty; else always yield *default*.
+            return (itertools.cycle(seq) if len(seq)
+                    else itertools.repeat(default))
+
+        pathids = cycle_or_default(path_ids)
+        toffsets = cycle_or_default(offset_trans.transform(offsets), (0, 0))
+        fcs = cycle_or_default(facecolors)
+        ecs = cycle_or_default(edgecolors)
+        hcs = cycle_or_default(hatchcolors)
+        lws = cycle_or_default(linewidths)
+        lss = cycle_or_default(linestyles)
+        aas = cycle_or_default(antialiaseds)
+        urls = cycle_or_default(urls)
 
         if Nedgecolors == 0:
             gc0.set_linewidth(0.0)
 
-        xo, yo = 0, 0
-        for i in xrange(N):
-            path_id = path_ids[i % Npaths]
-            if Noffsets:
-                xo, yo = toffsets[i % Noffsets]
-                if offset_position == 'data':
-                    if Ntransforms:
-                        transform = (
-                            Affine2D(all_transforms[i % Ntransforms]) +
-                            master_transform)
-                    else:
-                        transform = master_transform
-                    xo, yo = transform.transform_point((xo, yo))
-                    xp, yp = transform.transform_point((0, 0))
-                    xo = -(xp - xo)
-                    yo = -(yp - yo)
+        for pathid, (xo, yo), fc, ec, hc, lw, ls, aa, url in itertools.islice(
+                zip(pathids, toffsets, fcs, ecs, hcs, lws, lss, aas, urls), N):
             if not (np.isfinite(xo) and np.isfinite(yo)):
                 continue
-            if Nfacecolors:
-                rgbFace = facecolors[i % Nfacecolors]
             if Nedgecolors:
                 if Nlinewidths:
-                    gc0.set_linewidth(linewidths[i % Nlinewidths])
+                    gc0.set_linewidth(lw)
                 if Nlinestyles:
-                    gc0.set_dashes(*linestyles[i % Nlinestyles])
-                fg = edgecolors[i % Nedgecolors]
-                if len(fg) == 4:
-                    if fg[3] == 0.0:
-                        gc0.set_linewidth(0)
-                    else:
-                        gc0.set_foreground(fg)
+                    gc0.set_dashes(*ls)
+                if len(ec) == 4 and ec[3] == 0.0:
+                    gc0.set_linewidth(0)
                 else:
-                    gc0.set_foreground(fg)
-            if rgbFace is not None and len(rgbFace) == 4:
-                if rgbFace[3] == 0:
-                    rgbFace = None
-            gc0.set_antialiased(antialiaseds[i % Naa])
+                    gc0.set_foreground(ec)
+            if Nhatchcolors:
+                gc0.set_hatch_color(hc)
+            if fc is not None and len(fc) == 4 and fc[3] == 0:
+                fc = None
+            gc0.set_antialiased(aa)
             if Nurls:
-                gc0.set_url(urls[i % Nurls])
-
-            yield xo, yo, path_id, gc0, rgbFace
+                gc0.set_url(url)
+            yield xo, yo, pathid, gc0, fc
         gc0.restore()
 
     def get_image_magnification(self):
         """
-        Get the factor by which to magnify images passed to :meth:`draw_image`.
+        Get the factor by which to magnify images passed to `draw_image`.
         Allows a backend to have images at a different resolution to other
         artists.
         """
         return 1.0
 
-    def draw_image(self, gc, x, y, im):
+    def draw_image(self, gc, x, y, im, transform=None):
         """
-        Draw the image instance into the current axes;
-
-        *gc*
-            a GraphicsContext containing clipping information
-
-        *x*
-            is the distance in pixels from the left hand side of the canvas.
-
-        *y*
-            the distance from the origin.  That is, if origin is
-            upper, y is the distance from top.  If origin is lower, y
-            is the distance from bottom
+        Draw an RGBA image.
 
-        *im*
-            the :class:`matplotlib._image.Image` instance
+        Parameters
+        ----------
+        gc : `.GraphicsContextBase`
+            A graphics context with clipping information.
+
+        x : float
+            The distance in physical units (i.e., dots or pixels) from the left
+            hand side of the canvas.
+
+        y : float
+            The distance in physical units (i.e., dots or pixels) from the
+            bottom side of the canvas.
+
+        im : (N, M, 4) array of `numpy.uint8`
+            An array of RGBA pixels.
+
+        transform : `~matplotlib.transforms.Affine2DBase`
+            If and only if the concrete backend is written such that
+            `~.RendererBase.option_scale_image` returns ``True``, an affine
+            transformation (i.e., an `.Affine2DBase`) *may* be passed to
+            `~.RendererBase.draw_image`.  The translation vector of the
+            transformation is given in physical units (i.e., dots or pixels).
+            Note that the transformation does not override *x* and *y*,
+            and has to be applied *before* translatingthe result by
+            *x* and *y* (this can be accomplished by adding *x*
+            and *y* to the translation vector defined by *transform*).
         """
         raise NotImplementedError
 
     def option_image_nocomposite(self):
         """
-        override this method for renderers that do not necessarily
-        want to rescale and composite raster images. (like SVG)
+        Return whether image composition by Matplotlib should be skipped.
+
+        Raster backends should usually return False (letting the C-level
+        rasterizer take care of image composition); vector backends should
+        usually return ``not rcParams["image.composite_image"]``.
         """
         return False
 
     def option_scale_image(self):
         """
-        override this method for renderers that support arbitrary
-        scaling of image (most of the vector backend).
+        Return whether arbitrary affine transformations in
+        `~.RendererBase.draw_image` are supported (True for most vector backends).
         """
         return False
 
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
         """
+        Draw a TeX instance.
+
+        Parameters
+        ----------
+        gc : `.GraphicsContextBase`
+            The graphics context.
+        x : float
+            The x location of the text in display coords.
+        y : float
+            The y location of the text baseline in display coords.
+        s : str
+            The TeX text string.
+        prop : `~matplotlib.font_manager.FontProperties`
+            The font properties.
+        angle : float
+            The rotation angle in degrees anti-clockwise.
+        mtext : `~matplotlib.text.Text`
+            The original text object to be rendered.
         """
         self._draw_text_as_path(gc, x, y, s, prop, angle, ismath="TeX")
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
         """
-        Draw the text instance
-
-        *gc*
-            the :class:`GraphicsContextBase` instance
-
-        *x*
-            the x location of the text in display coords
-
-        *y*
-            the y location of the text baseline in display coords
-
-        *s*
-            the text string
-
-        *prop*
-          a :class:`matplotlib.font_manager.FontProperties` instance
-
-        *angle*
-            the rotation angle in degrees
-
-        *mtext*
-            a :class:`matplotlib.text.Text` instance
-
-        **backend implementers note**
-
-        When you are trying to determine if you have gotten your bounding box
-        right (which is what enables the text layout/alignment to work
-        properly), it helps to change the line in text.py::
-
-            if 0: bbox_artist(self, renderer)
+        Draw a text instance.
 
-        to if 1, and then the actual bounding box will be plotted along with
-        your text.
+        Parameters
+        ----------
+        gc : `.GraphicsContextBase`
+            The graphics context.
+        x : float
+            The x location of the text in display coords.
+        y : float
+            The y location of the text baseline in display coords.
+        s : str
+            The text string.
+        prop : `~matplotlib.font_manager.FontProperties`
+            The font properties.
+        angle : float
+            The rotation angle in degrees anti-clockwise.
+        ismath : bool or "TeX"
+            If True, use mathtext parser.
+        mtext : `~matplotlib.text.Text`
+            The original text object to be rendered.
+
+        Notes
+        -----
+        **Notes for backend implementers:**
+
+        `.RendererBase.draw_text` also supports passing "TeX" to the *ismath*
+        parameter to use TeX rendering, but this is not required for actual
+        rendering backends, and indeed many builtin backends do not support
+        this.  Rather, TeX rendering is provided by `~.RendererBase.draw_tex`.
         """
-
         self._draw_text_as_path(gc, x, y, s, prop, angle, ismath)
 
-    def _get_text_path_transform(self, x, y, s, prop, angle, ismath):
+    def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath):
         """
-        return the text path and transform
+        Draw the text by converting them to paths using `.TextToPath`.
 
-        *prop*
-          font property
-
-        *s*
-          text to be converted
-
-        *usetex*
-          If True, use matplotlib usetex mode.
-
-        *ismath*
-          If True, use mathtext parser. If "TeX", use *usetex* mode.
+        This private helper supports the same parameters as
+        `~.RendererBase.draw_text`; setting *ismath* to "TeX" triggers TeX
+        rendering.
         """
-
         text2path = self._text2path
         fontsize = self.points_to_pixels(prop.get_size_in_points())
-
-        if ismath == "TeX":
-            verts, codes = text2path.get_text_path(prop, s, ismath=False,
-                                                   usetex=True)
-        else:
-            verts, codes = text2path.get_text_path(prop, s, ismath=ismath,
-                                                   usetex=False)
-
+        verts, codes = text2path.get_text_path(prop, s, ismath=ismath)
         path = Path(verts, codes)
-        angle = angle / 180. * 3.141592
         if self.flipy():
-            transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
-                                         fontsize / text2path.FONT_SCALE)
-            transform = transform.rotate(angle).translate(x, self.height - y)
+            width, height = self.get_canvas_width_height()
+            transform = (Affine2D()
+                         .scale(fontsize / text2path.FONT_SCALE)
+                         .rotate_deg(angle)
+                         .translate(x, height - y))
         else:
-            transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
-                                         fontsize / text2path.FONT_SCALE)
-            transform = transform.rotate(angle).translate(x, y)
-
-        return path, transform
-
-    def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath):
-        """
-        draw the text by converting them to paths using textpath module.
-
-        *prop*
-          font property
-
-        *s*
-          text to be converted
-
-        *usetex*
-          If True, use matplotlib usetex mode.
-
-        *ismath*
-          If True, use mathtext parser. If "TeX", use *usetex* mode.
-        """
-        path, transform = self._get_text_path_transform(
-            x, y, s, prop, angle, ismath)
+            transform = (Affine2D()
+                         .scale(fontsize / text2path.FONT_SCALE)
+                         .rotate_deg(angle)
+                         .translate(x, y))
         color = gc.get_rgb()
-
         gc.set_linewidth(0.0)
         self.draw_path(gc, path, transform, rgbFace=color)
 
     def get_text_width_height_descent(self, s, prop, ismath):
         """
-        get the width and height, and the offset from the bottom to the
-        baseline (descent), in display coords of the string s with
-        :class:`~matplotlib.font_manager.FontProperties` prop
+        Get the width, height, and descent (offset from the bottom to the baseline), in
+        display coords, of the string *s* with `.FontProperties` *prop*.
+
+        Whitespace at the start and the end of *s* is included in the reported width.
         """
+        fontsize = prop.get_size_in_points()
+
         if ismath == 'TeX':
-            # todo: handle props
-            size = prop.get_size_in_points()
-            texmanager = self._text2path.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=self)
-            return w, h, d
+            # todo: handle properties
+            return self.get_texmanager().get_text_width_height_descent(
+                s, fontsize, renderer=self)
 
         dpi = self.points_to_pixels(72)
         if ismath:
@@ -670,8 +586,7 @@ def get_text_width_height_descent(self, s, prop, ismath):
 
         flags = self._text2path._get_hinting_flag()
         font = self._text2path._get_font(prop)
-        size = prop.get_size_in_points()
-        font.set_size(size, dpi)
+        font.set_size(fontsize, dpi)
         # the width and height of unrotated string
         font.set_text(s, 0.0, flags=flags)
         w, h = font.get_width_height()
@@ -683,115 +598,121 @@ def get_text_width_height_descent(self, s, prop, ismath):
 
     def flipy(self):
         """
-        Return true if y small numbers are top for renderer Is used
-        for drawing text (:mod:`matplotlib.text`) and images
-        (:mod:`matplotlib.image`) only
+        Return whether y values increase from top to bottom.
+
+        Note that this only affects drawing of texts.
         """
         return True
 
     def get_canvas_width_height(self):
-        'return the canvas width and height in display coords'
+        """Return the canvas width and height in display coords."""
         return 1, 1
 
     def get_texmanager(self):
-        """
-        return the :class:`matplotlib.texmanager.TexManager` instance
-        """
+        """Return the `.TexManager` instance."""
         if self._texmanager is None:
-            from matplotlib.texmanager import TexManager
             self._texmanager = TexManager()
         return self._texmanager
 
     def new_gc(self):
-        """
-        Return an instance of a :class:`GraphicsContextBase`
-        """
+        """Return an instance of a `.GraphicsContextBase`."""
         return GraphicsContextBase()
 
     def points_to_pixels(self, points):
         """
-        Convert points to display units
-
-        *points*
-            a float or a numpy array of float
-
-        return points converted to pixels
+        Convert points to display units.
 
         You need to override this function (unless your backend
         doesn't have a dpi, e.g., postscript or svg).  Some imaging
         systems assume some value for pixels per inch::
 
-            points to pixels = points * pixels_per_inch/72.0 * dpi/72.0
+            points to pixels = points * pixels_per_inch/72 * dpi/72
+
+        Parameters
+        ----------
+        points : float or array-like
+
+        Returns
+        -------
+        Points converted to pixels
         """
         return points
 
-    def strip_math(self, s):
-        return cbook.strip_math(s)
-
     def start_rasterizing(self):
         """
-        Used in MixedModeRenderer. Switch to the raster renderer.
+        Switch to the raster renderer.
+
+        Used by `.MixedModeRenderer`.
         """
-        pass
 
     def stop_rasterizing(self):
         """
-        Used in MixedModeRenderer. Switch back to the vector renderer
-        and draw the contents of the raster renderer as an image on
-        the vector renderer.
+        Switch back to the vector renderer and draw the contents of the raster
+        renderer as an image on the vector renderer.
+
+        Used by `.MixedModeRenderer`.
         """
-        pass
 
     def start_filter(self):
         """
-        Used in AggRenderer. Switch to a temporary renderer for image
-        filtering effects.
+        Switch to a temporary renderer for image filtering effects.
+
+        Currently only supported by the agg renderer.
         """
-        pass
 
     def stop_filter(self, filter_func):
         """
-        Used in AggRenderer. Switch back to the original renderer.
-        The contents of the temporary renderer is processed with the
-        *filter_func* and is drawn on the original renderer as an
-        image.
+        Switch back to the original renderer.  The contents of the temporary
+        renderer is processed with the *filter_func* and is drawn on the
+        original renderer as an image.
+
+        Currently only supported by the agg renderer.
         """
-        pass
 
+    def _draw_disabled(self):
+        """
+        Context manager to temporary disable drawing.
 
-class GraphicsContextBase(object):
-    """
-    An abstract base class that provides color, line styles, etc...
-    """
+        This is used for getting the drawn size of Artists.  This lets us
+        run the draw process to update any Python state but does not pay the
+        cost of the draw_XYZ calls on the canvas.
+        """
+        no_ops = {
+            meth_name: functools.update_wrapper(lambda *args, **kwargs: None,
+                                                getattr(RendererBase, meth_name))
+            for meth_name in dir(RendererBase)
+            if (meth_name.startswith("draw_")
+                or meth_name in ["open_group", "close_group"])
+        }
+
+        return _setattr_cm(self, **no_ops)
 
-    # a mapping from dash styles to suggested offset, dash pairs
-    dashd = {
-        'solid': (None, None),
-        'dashed': (0, (6.0, 6.0)),
-        'dashdot': (0, (3.0, 5.0, 1.0, 5.0)),
-        'dotted': (0, (1.0, 3.0)),
-    }
+
+class GraphicsContextBase:
+    """An abstract base class that provides color, line styles, etc."""
 
     def __init__(self):
         self._alpha = 1.0
         self._forced_alpha = False  # if True, _alpha overrides A from RGBA
-        self._antialiased = 1  # use 0,1 not True, False for extension code
-        self._capstyle = 'butt'
+        self._antialiased = 1  # use 0, 1 not True, False for extension code
+        self._capstyle = CapStyle('butt')
         self._cliprect = None
         self._clippath = None
-        self._dashes = None, None
-        self._joinstyle = 'round'
+        self._dashes = 0, None
+        self._joinstyle = JoinStyle('round')
         self._linestyle = 'solid'
         self._linewidth = 1
         self._rgb = (0.0, 0.0, 0.0, 1.0)
         self._hatch = None
+        self._hatch_color = None
+        self._hatch_linewidth = rcParams['hatch.linewidth']
         self._url = None
         self._gid = None
         self._snap = None
         self._sketch = None
 
     def copy_properties(self, gc):
-        'Copy properties from gc to self'
+        """Copy properties from *gc* to self."""
         self._alpha = gc._alpha
         self._forced_alpha = gc._forced_alpha
         self._antialiased = gc._antialiased
@@ -804,6 +725,8 @@ def copy_properties(self, gc):
         self._linewidth = gc._linewidth
         self._rgb = gc._rgb
         self._hatch = gc._hatch
+        self._hatch_color = gc._hatch_color
+        self._hatch_linewidth = gc._hatch_linewidth
         self._url = gc._url
         self._gid = gc._gid
         self._snap = gc._snap
@@ -812,56 +735,52 @@ def copy_properties(self, gc):
     def restore(self):
         """
         Restore the graphics context from the stack - needed only
-        for backends that save graphics contexts on a stack
+        for backends that save graphics contexts on a stack.
         """
-        pass
 
     def get_alpha(self):
         """
-        Return the alpha value used for blending - not supported on
-        all backends
+        Return the alpha value used for blending - not supported on all
+        backends.
         """
         return self._alpha
 
     def get_antialiased(self):
-        "Return true if the object should try to do antialiased rendering"
+        """Return whether the object should try to do antialiased rendering."""
         return self._antialiased
 
     def get_capstyle(self):
-        """
-        Return the capstyle as a string in ('butt', 'round', 'projecting')
-        """
-        return self._capstyle
+        """Return the `.CapStyle`."""
+        return self._capstyle.name
 
     def get_clip_rectangle(self):
         """
-        Return the clip rectangle as a :class:`~matplotlib.transforms.Bbox`
-        instance
+        Return the clip rectangle as a `~matplotlib.transforms.Bbox` instance.
         """
         return self._cliprect
 
     def get_clip_path(self):
         """
         Return the clip path in the form (path, transform), where path
-        is a :class:`~matplotlib.path.Path` instance, and transform is
+        is a `~.path.Path` instance, and transform is
         an affine transform to apply to the path before clipping.
         """
         if self._clippath is not None:
-            return self._clippath.get_transformed_path_and_affine()
+            tpath, tr = self._clippath.get_transformed_path_and_affine()
+            if np.all(np.isfinite(tpath.vertices)):
+                return tpath, tr
+            else:
+                _log.warning("Ill-defined clip_path detected. Returning None.")
+                return None, None
         return None, None
 
     def get_dashes(self):
         """
-        Return the dash information as an offset dashlist tuple.
-
-        The dash list is a even size list that gives the ink on, ink
-        off in pixels.
+        Return the dash style as an (offset, dash-list) pair.
 
-        See p107 of to PostScript `BLUEBOOK
-        <http://www-cdf.fnal.gov/offline/PostScript/BLUEBOOK.PDF>`_
-        for more info.
+        See `.set_dashes` for details.
 
-        Default value is None
+        Default value is (None, None).
         """
         return self._dashes
 
@@ -873,58 +792,40 @@ def get_forced_alpha(self):
         return self._forced_alpha
 
     def get_joinstyle(self):
-        """
-        Return the line join style as one of ('miter', 'round', 'bevel')
-        """
-        return self._joinstyle
-
-    def get_linestyle(self, style):
-        """
-        Return the linestyle: one of ('solid', 'dashed', 'dashdot',
-        'dotted').
-        """
-        return self._linestyle
+        """Return the `.JoinStyle`."""
+        return self._joinstyle.name
 
     def get_linewidth(self):
-        """
-        Return the line width in points as a scalar
-        """
+        """Return the line width in points."""
         return self._linewidth
 
     def get_rgb(self):
-        """
-        returns a tuple of three or four floats from 0-1.
-        """
+        """Return a tuple of three or four floats from 0-1."""
         return self._rgb
 
     def get_url(self):
-        """
-        returns a url if one is set, None otherwise
-        """
+        """Return a url if one is set, None otherwise."""
         return self._url
 
     def get_gid(self):
-        """
-        Return the object identifier if one is set, None otherwise.
-        """
+        """Return the object identifier if one is set, None otherwise."""
         return self._gid
 
     def get_snap(self):
         """
-        returns the snap setting which may be:
-
-          * True: snap vertices to the nearest pixel center
-
-          * False: leave vertices as-is
+        Return the snap setting, which can be:
 
-          * None: (auto) If the path contains only rectilinear line
-            segments, round to the nearest pixel center
+        * True: snap vertices to the nearest pixel center
+        * False: leave vertices as-is
+        * None: (auto) If the path contains only rectilinear line segments,
+          round to the nearest pixel center
         """
         return self._snap
 
     def set_alpha(self, alpha):
         """
         Set the alpha value used for blending - not supported on all backends.
+
         If ``alpha=None`` (the default), the alpha components of the
         foreground and fill colors will be used to set their respective
         transparencies (where applicable); otherwise, ``alpha`` will override
@@ -939,289 +840,239 @@ def set_alpha(self, alpha):
         self.set_foreground(self._rgb, isRGBA=True)
 
     def set_antialiased(self, b):
-        """
-        True if object should be drawn with antialiased rendering
-        """
-
-        # use 0, 1 to make life easier on extension code trying to read the gc
-        if b:
-            self._antialiased = 1
-        else:
-            self._antialiased = 0
+        """Set whether object should be drawn with antialiased rendering."""
+        # Use ints to make life easier on extension code trying to read the gc.
+        self._antialiased = int(bool(b))
 
+    @_docstring.interpd
     def set_capstyle(self, cs):
         """
-        Set the capstyle as a string in ('butt', 'round', 'projecting')
+        Set how to draw endpoints of lines.
+
+        Parameters
+        ----------
+        cs : `.CapStyle` or %(CapStyle)s
         """
-        if cs in ('butt', 'round', 'projecting'):
-            self._capstyle = cs
-        else:
-            raise ValueError('Unrecognized cap style.  Found %s' % cs)
+        self._capstyle = CapStyle(cs)
 
     def set_clip_rectangle(self, rectangle):
-        """
-        Set the clip rectangle with sequence (left, bottom, width, height)
-        """
+        """Set the clip rectangle to a `.Bbox` or None."""
         self._cliprect = rectangle
 
     def set_clip_path(self, path):
-        """
-        Set the clip path and transformation.  Path should be a
-        :class:`~matplotlib.transforms.TransformedPath` instance.
-        """
-        assert path is None or isinstance(path, transforms.TransformedPath)
+        """Set the clip path to a `.TransformedPath` or None."""
+        _api.check_isinstance((transforms.TransformedPath, None), path=path)
         self._clippath = path
 
     def set_dashes(self, dash_offset, dash_list):
         """
         Set the dash style for the gc.
 
-        *dash_offset*
-            is the offset (usually 0).
-
-        *dash_list*
-            specifies the on-off sequence as points.
-            ``(None, None)`` specifies a solid line
-
+        Parameters
+        ----------
+        dash_offset : float
+            Distance, in points, into the dash pattern at which to
+            start the pattern. It is usually set to 0.
+        dash_list : array-like or None
+            The on-off sequence as points.  None specifies a solid line. All
+            values must otherwise be non-negative (:math:`\\ge 0`).
+
+        Notes
+        -----
+        See p. 666 of the PostScript
+        `Language Reference
+        <https://www.adobe.com/jp/print/postscript/pdfs/PLRM.pdf>`_
+        for more info.
         """
         if dash_list is not None:
             dl = np.asarray(dash_list)
-            if np.any(dl <= 0.0):
-                raise ValueError("All values in the dash list must be positive")
+            if np.any(dl < 0.0):
+                raise ValueError(
+                    "All values in the dash list must be non-negative")
+            if dl.size and not np.any(dl > 0.0):
+                raise ValueError(
+                    'At least one value in the dash list must be positive')
         self._dashes = dash_offset, dash_list
 
     def set_foreground(self, fg, isRGBA=False):
         """
-        Set the foreground color.  fg can be a MATLAB format string, a
-        html hex color string, an rgb or rgba unit tuple, or a float between 0
-        and 1.  In the latter case, grayscale is used.
+        Set the foreground color.
 
-        If you know fg is rgba, set ``isRGBA=True`` for efficiency.
+        Parameters
+        ----------
+        fg : :mpltype:`color`
+        isRGBA : bool
+            If *fg* is known to be an ``(r, g, b, a)`` tuple, *isRGBA* can be
+            set to True to improve performance.
         """
         if self._forced_alpha and isRGBA:
             self._rgb = fg[:3] + (self._alpha,)
         elif self._forced_alpha:
-            self._rgb = colors.colorConverter.to_rgba(fg, self._alpha)
+            self._rgb = colors.to_rgba(fg, self._alpha)
         elif isRGBA:
             self._rgb = fg
         else:
-            self._rgb = colors.colorConverter.to_rgba(fg)
-
-    def set_graylevel(self, frac):
-        """
-        Set the foreground color to be a gray level with *frac*
-        """
-        self._rgb = (frac, frac, frac, self._alpha)
+            self._rgb = colors.to_rgba(fg)
 
+    @_docstring.interpd
     def set_joinstyle(self, js):
         """
-        Set the join style to be one of ('miter', 'round', 'bevel')
-        """
-        if js in ('miter', 'round', 'bevel'):
-            self._joinstyle = js
-        else:
-            raise ValueError('Unrecognized join style.  Found %s' % js)
-
-    def set_linewidth(self, w):
-        """
-        Set the linewidth in points
-        """
-        self._linewidth = w
-
-    def set_linestyle(self, style):
-        """
-        Set the linestyle to be one of ('solid', 'dashed', 'dashdot',
-        'dotted'). One may specify customized dash styles by providing
-        a tuple of (offset, dash pairs). For example, the predefiend
-        linestyles have following values.:
+        Set how to draw connections between line segments.
 
-         'dashed'  : (0, (6.0, 6.0)),
-         'dashdot' : (0, (3.0, 5.0, 1.0, 5.0)),
-         'dotted'  : (0, (1.0, 3.0)),
+        Parameters
+        ----------
+        js : `.JoinStyle` or %(JoinStyle)s
         """
+        self._joinstyle = JoinStyle(js)
 
-        if style in self.dashd:
-            offset, dashes = self.dashd[style]
-        elif isinstance(style, tuple):
-            offset, dashes = style
-        else:
-            raise ValueError('Unrecognized linestyle: %s' % str(style))
-
-        self._linestyle = style
-        self.set_dashes(offset, dashes)
+    def set_linewidth(self, w):
+        """Set the linewidth in points."""
+        self._linewidth = float(w)
 
     def set_url(self, url):
-        """
-        Sets the url for links in compatible backends
-        """
+        """Set the url for links in compatible backends."""
         self._url = url
 
     def set_gid(self, id):
-        """
-        Sets the id.
-        """
+        """Set the id."""
         self._gid = id
 
     def set_snap(self, snap):
         """
-        Sets the snap setting which may be:
+        Set the snap setting which may be:
 
-          * True: snap vertices to the nearest pixel center
-
-          * False: leave vertices as-is
-
-          * None: (auto) If the path contains only rectilinear line
-            segments, round to the nearest pixel center
+        * True: snap vertices to the nearest pixel center
+        * False: leave vertices as-is
+        * None: (auto) If the path contains only rectilinear line segments,
+          round to the nearest pixel center
         """
         self._snap = snap
 
     def set_hatch(self, hatch):
-        """
-        Sets the hatch style for filling
-        """
+        """Set the hatch style (for fills)."""
         self._hatch = hatch
 
     def get_hatch(self):
-        """
-        Gets the current hatch style
-        """
+        """Get the current hatch style."""
         return self._hatch
 
     def get_hatch_path(self, density=6.0):
-        """
-        Returns a Path for the current hatch.
-        """
-        if self._hatch is None:
+        """Return a `.Path` for the current hatch."""
+        hatch = self.get_hatch()
+        if hatch is None:
             return None
-        return Path.hatch(self._hatch, density)
+        return Path.hatch(hatch, density)
+
+    def get_hatch_color(self):
+        """Get the hatch color."""
+        return self._hatch_color
+
+    def set_hatch_color(self, hatch_color):
+        """Set the hatch color."""
+        self._hatch_color = hatch_color
+
+    def get_hatch_linewidth(self):
+        """Get the hatch linewidth."""
+        return self._hatch_linewidth
+
+    def set_hatch_linewidth(self, hatch_linewidth):
+        """Set the hatch linewidth."""
+        self._hatch_linewidth = hatch_linewidth
 
     def get_sketch_params(self):
         """
-        Returns the sketch parameters for the artist.
+        Return the sketch parameters for the artist.
 
         Returns
         -------
-        sketch_params : tuple or `None`
+        tuple or `None`
 
-        A 3-tuple with the following elements:
+            A 3-tuple with the following elements:
 
-          * `scale`: The amplitude of the wiggle perpendicular to the
-            source line.
+            * ``scale``: The amplitude of the wiggle perpendicular to the
+              source line.
+            * ``length``: The length of the wiggle along the line.
+            * ``randomness``: The scale factor by which the length is
+              shrunken or expanded.
 
-          * `length`: The length of the wiggle along the line.
-
-          * `randomness`: The scale factor by which the length is
-            shrunken or expanded.
-
-        May return `None` if no sketch parameters were set.
+            May return `None` if no sketch parameters were set.
         """
         return self._sketch
 
     def set_sketch_params(self, scale=None, length=None, randomness=None):
         """
-        Sets the the sketch parameters.
+        Set the sketch parameters.
 
         Parameters
         ----------
-
         scale : float, optional
-            The amplitude of the wiggle perpendicular to the source
-            line, in pixels.  If scale is `None`, or not provided, no
-            sketch filter will be provided.
-
-        length : float, optional
-             The length of the wiggle along the line, in pixels
-             (default 128.0)
-
-        randomness : float, optional
-            The scale factor by which the length is shrunken or
-            expanded (default 16.0)
+            The amplitude of the wiggle perpendicular to the source line, in
+            pixels.  If scale is `None`, or not provided, no sketch filter will
+            be provided.
+        length : float, default: 128
+            The length of the wiggle along the line, in pixels.
+        randomness : float, default: 16
+            The scale factor by which the length is shrunken or expanded.
         """
-        if scale is None:
-            self._sketch = None
-        else:
-            self._sketch = (scale, length or 128.0, randomness or 16.0)
+        self._sketch = (
+            None if scale is None
+            else (scale, length or 128., randomness or 16.))
 
 
-class TimerBase(object):
-    '''
+class TimerBase:
+    """
     A base class for providing timer events, useful for things animations.
     Backends need to implement a few specific methods in order to use their
     own timing mechanisms so that the timer events are integrated into their
     event loops.
 
-    Mandatory functions that must be implemented:
-
-        * `_timer_start`: Contains backend-specific code for starting
-          the timer
+    Subclasses must override the following methods:
 
-        * `_timer_stop`: Contains backend-specific code for stopping
-          the timer
+    - ``_timer_start``: Backend-specific code for starting the timer.
+    - ``_timer_stop``: Backend-specific code for stopping the timer.
 
-    Optional overrides:
+    Subclasses may additionally override the following methods:
 
-        * `_timer_set_single_shot`: Code for setting the timer to
-          single shot operating mode, if supported by the timer
-          object. If not, the `Timer` class itself will store the flag
-          and the `_on_timer` method should be overridden to support
-          such behavior.
+    - ``_timer_set_single_shot``: Code for setting the timer to single shot
+      operating mode, if supported by the timer object.  If not, the `TimerBase`
+      class itself will store the flag and the ``_on_timer`` method should be
+      overridden to support such behavior.
 
-        * `_timer_set_interval`: Code for setting the interval on the
-          timer, if there is a method for doing so on the timer
-          object.
+    - ``_timer_set_interval``: Code for setting the interval on the timer, if
+      there is a method for doing so on the timer object.
 
-        * `_on_timer`: This is the internal function that any timer
-          object should call, which will handle the task of running
-          all callbacks that have been set.
-
-    Attributes:
-
-        * `interval`: The time between timer events in
-          milliseconds. Default is 1000 ms.
-
-        * `single_shot`: Boolean flag indicating whether this timer
-          should operate as single shot (run once and then
-          stop). Defaults to `False`.
+    - ``_on_timer``: The internal function that any timer object should call,
+      which will handle the task of running all callbacks that have been set.
+    """
 
-        * `callbacks`: Stores list of (func, args) tuples that will be
-          called upon timer events. This list can be manipulated
-          directly, or the functions `add_callback` and
-          `remove_callback` can be used.
-    '''
     def __init__(self, interval=None, callbacks=None):
-        #Initialize empty callbacks list and setup default settings if necssary
-        if callbacks is None:
-            self.callbacks = []
-        else:
-            self.callbacks = callbacks[:]  # Create a copy
-
-        if interval is None:
-            self._interval = 1000
-        else:
-            self._interval = interval
-
-        self._single = False
-
-        # Default attribute for holding the GUI-specific timer object
-        self._timer = None
+        """
+        Parameters
+        ----------
+        interval : int, default: 1000ms
+            The time between timer events in milliseconds.  Will be stored as
+            ``timer.interval``.
+        callbacks : list[tuple[callable, tuple, dict]]
+            List of (func, args, kwargs) tuples that will be called upon timer
+            events.  This list is accessible as ``timer.callbacks`` and can be
+            manipulated directly, or the functions `~.TimerBase.add_callback`
+            and `~.TimerBase.remove_callback` can be used.
+        """
+        self.callbacks = [] if callbacks is None else callbacks.copy()
+        # Set .interval and not ._interval to go through the property setter.
+        self.interval = 1000 if interval is None else interval
+        self.single_shot = False
 
     def __del__(self):
-        'Need to stop timer and possibly disconnect timer.'
+        """Need to stop timer and possibly disconnect timer."""
         self._timer_stop()
 
-    def start(self, interval=None):
-        '''
-        Start the timer object. `interval` is optional and will be used
-        to reset the timer interval first if provided.
-        '''
-        if interval is not None:
-            self._set_interval(interval)
+    def start(self):
+        """Start the timer."""
         self._timer_start()
 
     def stop(self):
-        '''
-        Stop the timer.
-        '''
+        """Stop the timer."""
         self._timer_stop()
 
     def _timer_start(self):
@@ -1230,41 +1081,58 @@ def _timer_start(self):
     def _timer_stop(self):
         pass
 
-    def _get_interval(self):
+    @property
+    def interval(self):
+        """The time between timer events, in milliseconds."""
         return self._interval
 
-    def _set_interval(self, interval):
+    @interval.setter
+    def interval(self, interval):
         # Force to int since none of the backends actually support fractional
         # milliseconds, and some error or give warnings.
-        interval = int(interval)
+        # Some backends also fail when interval == 0, so ensure >= 1 msec
+        interval = max(int(interval), 1)
         self._interval = interval
         self._timer_set_interval()
 
-    interval = property(_get_interval, _set_interval)
-
-    def _get_single_shot(self):
+    @property
+    def single_shot(self):
+        """Whether this timer should stop after a single run."""
         return self._single
 
-    def _set_single_shot(self, ss=True):
+    @single_shot.setter
+    def single_shot(self, ss):
         self._single = ss
         self._timer_set_single_shot()
 
-    single_shot = property(_get_single_shot, _set_single_shot)
-
     def add_callback(self, func, *args, **kwargs):
-        '''
-        Register `func` to be called by timer when the event fires. Any
-        additional arguments provided will be passed to `func`.
-        '''
+        """
+        Register *func* to be called by timer when the event fires. Any
+        additional arguments provided will be passed to *func*.
+
+        This function returns *func*, which makes it possible to use it as a
+        decorator.
+        """
         self.callbacks.append((func, args, kwargs))
+        return func
 
     def remove_callback(self, func, *args, **kwargs):
-        '''
-        Remove `func` from list of callbacks. `args` and `kwargs` are optional
-        and used to distinguish between copies of the same function registered
-        to be called with different arguments.
-        '''
+        """
+        Remove *func* from list of callbacks.
+
+        *args* and *kwargs* are optional and used to distinguish between copies
+        of the same function registered to be called with different arguments.
+        This behavior is deprecated.  In the future, ``*args, **kwargs`` won't
+        be considered anymore; to keep a specific callback removable by itself,
+        pass it to `add_callback` as a `functools.partial` object.
+        """
         if args or kwargs:
+            _api.warn_deprecated(
+                "3.1", message="In a future version, Timer.remove_callback "
+                "will not take *args, **kwargs anymore, but remove all "
+                "callbacks where the callable matches; to keep a specific "
+                "callback removable by itself, pass it to add_callback as a "
+                "functools.partial object.")
             self.callbacks.remove((func, args, kwargs))
         else:
             funcs = [c[0] for c in self.callbacks]
@@ -1272,306 +1140,328 @@ def remove_callback(self, func, *args, **kwargs):
                 self.callbacks.pop(funcs.index(func))
 
     def _timer_set_interval(self):
-        'Used to set interval on underlying timer object.'
-        pass
+        """Used to set interval on underlying timer object."""
 
     def _timer_set_single_shot(self):
-        'Used to set single shot on underlying timer object.'
-        pass
+        """Used to set single shot on underlying timer object."""
 
     def _on_timer(self):
-        '''
+        """
         Runs all function that have been registered as callbacks. Functions
         can return False (or 0) if they should not be called any more. If there
         are no callbacks, the timer is automatically stopped.
-        '''
+        """
         for func, args, kwargs in self.callbacks:
             ret = func(*args, **kwargs)
-            # docstring above explains why we use `if ret == False` here,
+            # docstring above explains why we use `if ret == 0` here,
             # instead of `if not ret`.
-            if ret == False:
+            # This will also catch `ret == False` as `False == 0`
+            # but does not annoy the linters
+            # https://docs.python.org/3/library/stdtypes.html#boolean-values
+            if ret == 0:
                 self.callbacks.remove((func, args, kwargs))
 
         if len(self.callbacks) == 0:
             self.stop()
 
 
-class Event(object):
+class Event:
+    """
+    A Matplotlib event.
+
+    The following attributes are defined and shown with their default values.
+    Subclasses may define additional attributes.
+
+    Attributes
+    ----------
+    name : str
+        The event name.
+    canvas : `FigureCanvasBase`
+        The backend-specific canvas instance generating the event.
+    guiEvent
+        The GUI event that triggered the Matplotlib event.
     """
-    A matplotlib event.  Attach additional attributes as defined in
-    :meth:`FigureCanvasBase.mpl_connect`.  The following attributes
-    are defined and shown with their default values
-
-    *name*
-        the event name
-
-    *canvas*
-        the FigureCanvas instance generating the event
-
-    *guiEvent*
-        the GUI event that triggered the matplotlib event
 
-
-    """
     def __init__(self, name, canvas, guiEvent=None):
         self.name = name
         self.canvas = canvas
         self.guiEvent = guiEvent
 
-
-class IdleEvent(Event):
-    """
-    An event triggered by the GUI backend when it is idle -- useful
-    for passive animation
-    """
-    pass
+    def _process(self):
+        """Process this event on ``self.canvas``, then unset ``guiEvent``."""
+        self.canvas.callbacks.process(self.name, self)
+        self.guiEvent = None
 
 
 class DrawEvent(Event):
     """
-    An event triggered by a draw operation on the canvas
+    An event triggered by a draw operation on the canvas.
+
+    In most backends, callbacks subscribed to this event will be fired after
+    the rendering is complete but before the screen is updated. Any extra
+    artists drawn to the canvas's renderer will be reflected without an
+    explicit call to ``blit``.
+
+    .. warning::
 
-    In addition to the :class:`Event` attributes, the following event
-    attributes are defined:
+       Calling ``canvas.draw`` and ``canvas.blit`` in these callbacks may
+       not be safe with all backends and may cause infinite recursion.
 
-    *renderer*
-        the :class:`RendererBase` instance for the draw event
+    A DrawEvent has a number of special attributes in addition to those defined
+    by the parent `Event` class.
 
+    Attributes
+    ----------
+    renderer : `RendererBase`
+        The renderer for the draw event.
     """
     def __init__(self, name, canvas, renderer):
-        Event.__init__(self, name, canvas)
+        super().__init__(name, canvas)
         self.renderer = renderer
 
 
 class ResizeEvent(Event):
     """
-    An event triggered by a canvas resize
+    An event triggered by a canvas resize.
 
-    In addition to the :class:`Event` attributes, the following event
-    attributes are defined:
-
-    *width*
-        width of the canvas in pixels
-
-    *height*
-        height of the canvas in pixels
+    A ResizeEvent has a number of special attributes in addition to those
+    defined by the parent `Event` class.
 
+    Attributes
+    ----------
+    width : int
+        Width of the canvas in pixels.
+    height : int
+        Height of the canvas in pixels.
     """
+
     def __init__(self, name, canvas):
-        Event.__init__(self, name, canvas)
+        super().__init__(name, canvas)
         self.width, self.height = canvas.get_width_height()
 
 
 class CloseEvent(Event):
-    """
-    An event triggered by a figure being closed
-
-    In addition to the :class:`Event` attributes, the following event
-    attributes are defined:
-    """
-    def __init__(self, name, canvas, guiEvent=None):
-        Event.__init__(self, name, canvas, guiEvent)
+    """An event triggered by a figure being closed."""
 
 
 class LocationEvent(Event):
     """
-    An event that has a screen location
-
-    The following additional attributes are defined and shown with
-    their default values.
-
-    In addition to the :class:`Event` attributes, the following
-    event attributes are defined:
-
-    *x*
-        x position - pixels from left of canvas
-
-    *y*
-        y position - pixels from bottom of canvas
-
-    *inaxes*
-        the :class:`~matplotlib.axes.Axes` instance if mouse is over axes
-
-    *xdata*
-        x coord of mouse in data coords
-
-    *ydata*
-        y coord of mouse in data coords
-
+    An event that has a screen location.
+
+    A LocationEvent has a number of special attributes in addition to those
+    defined by the parent `Event` class.
+
+    Attributes
+    ----------
+    x, y : int or None
+        Event location in pixels from bottom left of canvas.
+    inaxes : `~matplotlib.axes.Axes` or None
+        The `~.axes.Axes` instance over which the mouse is, if any.
+    xdata, ydata : float or None
+        Data coordinates of the mouse within *inaxes*, or *None* if the mouse
+        is not over an Axes.
+    modifiers : frozenset
+        The keyboard modifiers currently being pressed (except for KeyEvent).
     """
-    x = None       # x position - pixels from left of canvas
-    y = None       # y position - pixels from right of canvas
-    inaxes = None  # the Axes instance if mouse us over axes
-    xdata = None   # x coord of mouse in data coords
-    ydata = None   # y coord of mouse in data coords
 
-    # the last event that was triggered before this one
-    lastevent = None
+    _last_axes_ref = None
 
-    def __init__(self, name, canvas, x, y, guiEvent=None):
-        """
-        *x*, *y* in figure coords, 0,0 = bottom, left
-        """
-        Event.__init__(self, name, canvas, guiEvent=guiEvent)
-        self.x = x
-        self.y = y
+    def __init__(self, name, canvas, x, y, guiEvent=None, *, modifiers=None):
+        super().__init__(name, canvas, guiEvent=guiEvent)
+        # x position - pixels from left of canvas
+        self.x = int(x) if x is not None else x
+        # y position - pixels from right of canvas
+        self.y = int(y) if y is not None else y
+        self.inaxes = None  # the Axes instance the mouse is over
+        self.xdata = None   # x coord of mouse in data coords
+        self.ydata = None   # y coord of mouse in data coords
+        self.modifiers = frozenset(modifiers if modifiers is not None else [])
 
         if x is None or y is None:
-            # cannot check if event was in axes if no x,y info
-            self.inaxes = None
-            self._update_enter_leave()
-            return
-
-        # Find all axes containing the mouse
-        if self.canvas.mouse_grabber is None:
-            axes_list = [a for a in self.canvas.figure.get_axes()
-                         if a.in_axes(self)]
-        else:
-            axes_list = [self.canvas.mouse_grabber]
-
-        if len(axes_list) == 0:  # None found
-            self.inaxes = None
-            self._update_enter_leave()
+            # cannot check if event was in Axes if no (x, y) info
             return
-        elif (len(axes_list) > 1):  # Overlap, get the highest zorder
-            axes_list.sort(key=lambda x: x.zorder)
-            self.inaxes = axes_list[-1]  # Use the highest zorder
-        else:  # Just found one hit
-            self.inaxes = axes_list[0]
 
-        try:
-            trans = self.inaxes.transData.inverted()
-            xdata, ydata = trans.transform_point((x, y))
-        except ValueError:
-            self.xdata = None
-            self.ydata = None
-        else:
-            self.xdata = xdata
-            self.ydata = ydata
+        self._set_inaxes(self.canvas.inaxes((x, y))
+                         if self.canvas.mouse_grabber is None else
+                         self.canvas.mouse_grabber,
+                         (x, y))
 
-        self._update_enter_leave()
+    # Splitting _set_inaxes out is useful for the axes_leave_event handler: it
+    # needs to generate synthetic LocationEvents with manually-set inaxes.  In
+    # that latter case, xy has already been cast to int so it can directly be
+    # read from self.x, self.y; in the normal case, however, it is more
+    # accurate to pass the untruncated float x, y values passed to the ctor.
 
-    def _update_enter_leave(self):
-        'process the figure/axes enter leave events'
-        if LocationEvent.lastevent is not None:
-            last = LocationEvent.lastevent
-            if last.inaxes != self.inaxes:
-                # process axes enter/leave events
-                try:
-                    if last.inaxes is not None:
-                        last.canvas.callbacks.process('axes_leave_event', last)
-                except:
-                    pass
-                    # See ticket 2901582.
-                    # I think this is a valid exception to the rule
-                    # against catching all exceptions; if anything goes
-                    # wrong, we simply want to move on and process the
-                    # current event.
-                if self.inaxes is not None:
-                    self.canvas.callbacks.process('axes_enter_event', self)
+    def _set_inaxes(self, inaxes, xy=None):
+        self.inaxes = inaxes
+        if inaxes is not None:
+            try:
+                self.xdata, self.ydata = inaxes.transData.inverted().transform(
+                    xy if xy is not None else (self.x, self.y))
+            except ValueError:
+                pass
 
-        else:
-            # process a figure enter event
-            if self.inaxes is not None:
-                self.canvas.callbacks.process('axes_enter_event', self)
 
-        LocationEvent.lastevent = self
+class MouseButton(IntEnum):
+    LEFT = 1
+    MIDDLE = 2
+    RIGHT = 3
+    BACK = 8
+    FORWARD = 9
 
 
 class MouseEvent(LocationEvent):
     """
-    A mouse event ('button_press_event',
-                   'button_release_event',
-                   'scroll_event',
-                   'motion_notify_event').
-
-    In addition to the :class:`Event` and :class:`LocationEvent`
-    attributes, the following attributes are defined:
-
-    *button*
-        button pressed None, 1, 2, 3, 'up', 'down' (up and down are used
-        for scroll events)
-
-    *key*
-        the key depressed when the mouse event triggered (see
-        :class:`KeyEvent`)
-
-    *step*
-        number of scroll steps (positive for 'up', negative for 'down')
-
-
-    Example usage::
+    A mouse event ('button_press_event', 'button_release_event', \
+'scroll_event', 'motion_notify_event').
+
+    A MouseEvent has a number of special attributes in addition to those
+    defined by the parent `Event` and `LocationEvent` classes.
+
+    Attributes
+    ----------
+    button : None or `MouseButton` or {'up', 'down'}
+        The button pressed. 'up' and 'down' are used for scroll events.
+
+        Note that LEFT and RIGHT actually refer to the "primary" and
+        "secondary" buttons, i.e. if the user inverts their left and right
+        buttons ("left-handed setting") then the LEFT button will be the one
+        physically on the right.
+
+        If this is unset, *name* is "scroll_event", and *step* is nonzero, then
+        this will be set to "up" or "down" depending on the sign of *step*.
+
+    buttons : None or frozenset
+        For 'motion_notify_event', the mouse buttons currently being pressed
+        (a set of zero or more MouseButtons);
+        for other events, None.
+
+        .. note::
+           For 'motion_notify_event', this attribute is more accurate than
+           the ``button`` (singular) attribute, which is obtained from the last
+           'button_press_event' or 'button_release_event' that occurred within
+           the canvas (and thus 1. be wrong if the last change in mouse state
+           occurred when the canvas did not have focus, and 2. cannot report
+           when multiple buttons are pressed).
+
+           This attribute is not set for 'button_press_event' and
+           'button_release_event' because GUI toolkits are inconsistent as to
+           whether they report the button state *before* or *after* the
+           press/release occurred.
+
+        .. warning::
+           On macOS, the Tk backends only report a single button even if
+           multiple buttons are pressed.
+
+    key : None or str
+        The key pressed when the mouse event triggered, e.g. 'shift'.
+        See `KeyEvent`.
+
+        .. warning::
+           This key is currently obtained from the last 'key_press_event' or
+           'key_release_event' that occurred within the canvas.  Thus, if the
+           last change of keyboard state occurred while the canvas did not have
+           focus, this attribute will be wrong.  On the other hand, the
+           ``modifiers`` attribute should always be correct, but it can only
+           report on modifier keys.
+
+    step : float
+        The number of scroll steps (positive for 'up', negative for 'down').
+        This applies only to 'scroll_event' and defaults to 0 otherwise.
+
+    dblclick : bool
+        Whether the event is a double-click. This applies only to
+        'button_press_event' and is False otherwise. In particular, it's
+        not used in 'button_release_event'.
+
+    Examples
+    --------
+    ::
 
         def on_press(event):
             print('you pressed', event.button, event.xdata, event.ydata)
 
         cid = fig.canvas.mpl_connect('button_press_event', on_press)
-
     """
-    x = None         # x position - pixels from left of canvas
-    y = None         # y position - pixels from right of canvas
-    button = None    # button pressed None, 1, 2, 3
-    dblclick = None  # whether or not the event is the result of a double click
-    inaxes = None    # the Axes instance if mouse us over axes
-    xdata = None     # x coord of mouse in data coords
-    ydata = None     # y coord of mouse in data coords
-    step = None      # scroll steps for scroll events
 
     def __init__(self, name, canvas, x, y, button=None, key=None,
-                 step=0, dblclick=False, guiEvent=None):
-        """
-        x, y in figure coords, 0,0 = bottom, left
-        button pressed None, 1, 2, 3, 'up', 'down'
-        """
-        LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
+                 step=0, dblclick=False, guiEvent=None, *,
+                 buttons=None, modifiers=None):
+        super().__init__(
+            name, canvas, x, y, guiEvent=guiEvent, modifiers=modifiers)
+        if button in MouseButton.__members__.values():
+            button = MouseButton(button)
+        if name == "scroll_event" and button is None:
+            if step > 0:
+                button = "up"
+            elif step < 0:
+                button = "down"
         self.button = button
+        if name == "motion_notify_event":
+            self.buttons = frozenset(buttons if buttons is not None else [])
+        else:
+            # We don't support 'buttons' for button_press/release_event because
+            # toolkits are inconsistent as to whether they report the state
+            # before or after the event.
+            if buttons:
+                raise ValueError(
+                    "'buttons' is only supported for 'motion_notify_event'")
+            self.buttons = None
         self.key = key
         self.step = step
         self.dblclick = dblclick
 
     def __str__(self):
-        return ("MPL MouseEvent: xy=(%d,%d) xydata=(%s,%s) button=%s " +
-                "dblclick=%s inaxes=%s") % (self.x, self.y, self.xdata,
-                                            self.ydata, self.button,
-                                            self.dblclick, self.inaxes)
+        return (f"{self.name}: "
+                f"xy=({self.x}, {self.y}) xydata=({self.xdata}, {self.ydata}) "
+                f"button={self.button} dblclick={self.dblclick} "
+                f"inaxes={self.inaxes}")
 
 
 class PickEvent(Event):
     """
-    a pick event, fired when the user picks a location on the canvas
-    sufficiently close to an artist.
-
-    Attrs: all the :class:`Event` attributes plus
-
-    *mouseevent*
-        the :class:`MouseEvent` that generated the pick
-
-    *artist*
-        the :class:`~matplotlib.artist.Artist` picked
-
+    A pick event.
+
+    This event is fired when the user picks a location on the canvas
+    sufficiently close to an artist that has been made pickable with
+    `.Artist.set_picker`.
+
+    A PickEvent has a number of special attributes in addition to those defined
+    by the parent `Event` class.
+
+    Attributes
+    ----------
+    mouseevent : `MouseEvent`
+        The mouse event that generated the pick.
+    artist : `~matplotlib.artist.Artist`
+        The picked artist.  Note that artists are not pickable by default
+        (see `.Artist.set_picker`).
     other
-        extra class dependent attrs -- e.g., a
-        :class:`~matplotlib.lines.Line2D` pick may define different
-        extra attributes than a
-        :class:`~matplotlib.collections.PatchCollection` pick event
+        Additional attributes may be present depending on the type of the
+        picked object; e.g., a `.Line2D` pick may define different extra
+        attributes than a `.PatchCollection` pick.
 
+    Examples
+    --------
+    Bind a function ``on_pick()`` to pick events, that prints the coordinates
+    of the picked data point::
 
-    Example usage::
-
-        line, = ax.plot(rand(100), 'o', picker=5)  # 5 points tolerance
+        ax.plot(np.rand(100), 'o', picker=5)  # 5 points tolerance
 
         def on_pick(event):
-            thisline = event.artist
-            xdata, ydata = thisline.get_data()
+            line = event.artist
+            xdata, ydata = line.get_data()
             ind = event.ind
-            print('on pick line:', zip(xdata[ind], ydata[ind]))
+            print(f'on pick line: {xdata[ind]:.3f}, {ydata[ind]:.3f}')
 
         cid = fig.canvas.mpl_connect('pick_event', on_pick)
-
     """
+
     def __init__(self, name, canvas, mouseevent, artist,
                  guiEvent=None, **kwargs):
-        Event.__init__(self, name, canvas, guiEvent)
+        if guiEvent is None:
+            guiEvent = mouseevent.guiEvent
+        super().__init__(name, canvas, guiEvent)
         self.mouseevent = mouseevent
         self.artist = artist
         self.__dict__.update(kwargs)
@@ -1581,49 +1471,217 @@ class KeyEvent(LocationEvent):
     """
     A key event (key press, key release).
 
-    Attach additional attributes as defined in
-    :meth:`FigureCanvasBase.mpl_connect`.
-
-    In addition to the :class:`Event` and :class:`LocationEvent`
-    attributes, the following attributes are defined:
-
-    *key*
-        the key(s) pressed. Could be **None**, a single case sensitive ascii
-        character ("g", "G", "#", etc.), a special key
-        ("control", "shift", "f1", "up", etc.) or a
-        combination of the above (e.g., "ctrl+alt+g", "ctrl+alt+G").
-
-    .. note::
+    A KeyEvent has a number of special attributes in addition to those defined
+    by the parent `Event` and `LocationEvent` classes.
 
-        Modifier keys will be prefixed to the pressed key and will be in the
-        order "ctrl", "alt", "super". The exception to this rule is when the
-        pressed key is itself a modifier key, therefore "ctrl+alt" and
-        "alt+control" can both be valid key values.
+    Attributes
+    ----------
+    key : None or str
+        The key(s) pressed. Could be *None*, a single case sensitive Unicode
+        character ("g", "G", "#", etc.), a special key ("control", "shift",
+        "f1", "up", etc.) or a combination of the above (e.g., "ctrl+alt+g",
+        "ctrl+alt+G").
 
+    Notes
+    -----
+    Modifier keys will be prefixed to the pressed key and will be in the order
+    "ctrl", "alt", "super". The exception to this rule is when the pressed key
+    is itself a modifier key, therefore "ctrl+alt" and "alt+control" can both
+    be valid key values.
 
-    Example usage::
+    Examples
+    --------
+    ::
 
         def on_key(event):
             print('you pressed', event.key, event.xdata, event.ydata)
 
         cid = fig.canvas.mpl_connect('key_press_event', on_key)
-
     """
+
     def __init__(self, name, canvas, key, x=0, y=0, guiEvent=None):
-        LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
+        super().__init__(name, canvas, x, y, guiEvent=guiEvent)
         self.key = key
 
 
-class FigureCanvasBase(object):
+# Default callback for key events.
+def _key_handler(event):
+    # Dead reckoning of key.
+    if event.name == "key_press_event":
+        event.canvas._key = event.key
+    elif event.name == "key_release_event":
+        event.canvas._key = None
+
+
+# Default callback for mouse events.
+def _mouse_handler(event):
+    # Dead-reckoning of button and key.
+    if event.name == "button_press_event":
+        event.canvas._button = event.button
+    elif event.name == "button_release_event":
+        event.canvas._button = None
+    elif event.name == "motion_notify_event" and event.button is None:
+        event.button = event.canvas._button
+    if event.key is None:
+        event.key = event.canvas._key
+    # Emit axes_enter/axes_leave.
+    if event.name == "motion_notify_event":
+        last_ref = LocationEvent._last_axes_ref
+        last_axes = last_ref() if last_ref else None
+        if last_axes != event.inaxes:
+            if last_axes is not None:
+                # Create a synthetic LocationEvent for the axes_leave_event.
+                # Its inaxes attribute needs to be manually set (because the
+                # cursor is actually *out* of that Axes at that point); this is
+                # done with the internal _set_inaxes method which ensures that
+                # the xdata and ydata attributes are also correct.
+                try:
+                    canvas = last_axes.get_figure(root=True).canvas
+                    leave_event = LocationEvent(
+                        "axes_leave_event", canvas,
+                        event.x, event.y, event.guiEvent,
+                        modifiers=event.modifiers)
+                    leave_event._set_inaxes(last_axes)
+                    canvas.callbacks.process("axes_leave_event", leave_event)
+                except Exception:
+                    pass  # The last canvas may already have been torn down.
+            if event.inaxes is not None:
+                event.canvas.callbacks.process("axes_enter_event", event)
+        LocationEvent._last_axes_ref = (
+            weakref.ref(event.inaxes) if event.inaxes else None)
+
+
+def _get_renderer(figure, print_method=None):
+    """
+    Get the renderer that would be used to save a `.Figure`.
+
+    If you need a renderer without any active draw methods use
+    renderer._draw_disabled to temporary patch them out at your call site.
+    """
+    # This is implemented by triggering a draw, then immediately jumping out of
+    # Figure.draw() by raising an exception.
+
+    class Done(Exception):
+        pass
+
+    def _draw(renderer): raise Done(renderer)
+
+    with cbook._setattr_cm(figure, draw=_draw), ExitStack() as stack:
+        if print_method is None:
+            fmt = figure.canvas.get_default_filetype()
+            # Even for a canvas' default output type, a canvas switch may be
+            # needed, e.g. for FigureCanvasBase.
+            print_method = stack.enter_context(
+                figure.canvas._switch_canvas_and_return_print_method(fmt))
+        try:
+            print_method(io.BytesIO())
+        except Done as exc:
+            renderer, = exc.args
+            return renderer
+        else:
+            raise RuntimeError(f"{print_method} did not call Figure.draw, so "
+                               f"no renderer is available")
+
+
+def _no_output_draw(figure):
+    # _no_output_draw was promoted to the figure level, but
+    # keep this here in case someone was calling it...
+    figure.draw_without_rendering()
+
+
+def _is_non_interactive_terminal_ipython(ip):
+    """
+    Return whether we are in a terminal IPython, but non interactive.
+
+    When in _terminal_ IPython, ip.parent will have and `interact` attribute,
+    if this attribute is False we do not setup eventloop integration as the
+    user will _not_ interact with IPython. In all other case (ZMQKernel, or is
+    interactive), we do.
+    """
+    return (hasattr(ip, 'parent')
+            and (ip.parent is not None)
+            and getattr(ip.parent, 'interact', None) is False)
+
+
+@contextmanager
+def _allow_interrupt(prepare_notifier, handle_sigint):
+    """
+    A context manager that allows terminating a plot by sending a SIGINT.  It
+    is necessary because the running backend prevents the Python interpreter
+    from running and processing signals (i.e., to raise a KeyboardInterrupt).
+    To solve this, one needs to somehow wake up the interpreter and make it
+    close the plot window.  We do this by using the signal.set_wakeup_fd()
+    function which organizes a write of the signal number into a socketpair.
+    A backend-specific function, *prepare_notifier*, arranges to listen to
+    the pair's read socket while the event loop is running.  (If it returns a
+    notifier object, that object is kept alive while the context manager runs.)
+
+    If SIGINT was indeed caught, after exiting the on_signal() function the
+    interpreter reacts to the signal according to the handler function which
+    had been set up by a signal.signal() call; here, we arrange to call the
+    backend-specific *handle_sigint* function.  Finally, we call the old SIGINT
+    handler with the same arguments that were given to our custom handler.
+
+    We do this only if the old handler for SIGINT was not None, which means
+    that a non-python handler was installed, i.e. in Julia, and not SIG_IGN
+    which means we should ignore the interrupts.
+
+    Parameters
+    ----------
+    prepare_notifier : Callable[[socket.socket], object]
+    handle_sigint : Callable[[], object]
+    """
+
+    old_sigint_handler = signal.getsignal(signal.SIGINT)
+    if old_sigint_handler in (None, signal.SIG_IGN, signal.SIG_DFL):
+        yield
+        return
+
+    handler_args = None
+    wsock, rsock = socket.socketpair()
+    wsock.setblocking(False)
+    rsock.setblocking(False)
+    old_wakeup_fd = signal.set_wakeup_fd(wsock.fileno())
+    notifier = prepare_notifier(rsock)
+
+    def save_args_and_handle_sigint(*args):
+        nonlocal handler_args
+        handler_args = args
+        handle_sigint()
+
+    signal.signal(signal.SIGINT, save_args_and_handle_sigint)
+    try:
+        yield
+    finally:
+        wsock.close()
+        rsock.close()
+        signal.set_wakeup_fd(old_wakeup_fd)
+        signal.signal(signal.SIGINT, old_sigint_handler)
+        if handler_args is not None:
+            old_sigint_handler(*handler_args)
+
+
+class FigureCanvasBase:
     """
     The canvas the figure renders into.
 
-    Public attributes
+    Attributes
+    ----------
+    figure : `~matplotlib.figure.Figure`
+        A high-level figure instance.
+    """
+
+    # Set to one of {"qt", "gtk3", "gtk4", "wx", "tk", "macosx"} if an
+    # interactive framework is required, or None otherwise.
+    required_interactive_framework = None
 
-        *figure*
-            A :class:`matplotlib.figure.Figure` instance
+    # The manager class instantiated by new_manager.
+    # (This is defined as a classproperty because the manager class is
+    # currently defined *after* the canvas class, but one could also assign
+    # ``FigureCanvasBase.manager_class = FigureManagerBase``
+    # after defining both classes.)
+    manager_class = _api.classproperty(lambda cls: FigureManagerBase)
 
-      """
     events = [
         'resize_event',
         'draw_event',
@@ -1634,7 +1692,6 @@ class FigureCanvasBase(object):
         'scroll_event',
         'motion_notify_event',
         'pick_event',
-        'idle_event',
         'figure_enter_event',
         'figure_leave_event',
         'axes_enter_event',
@@ -1642,762 +1699,664 @@ class FigureCanvasBase(object):
         'close_event'
     ]
 
-    supports_blit = True
     fixed_dpi = None
 
     filetypes = _default_filetypes
-    if _has_pil:
-        # JPEG support
-        register_backend('jpg', 'matplotlib.backends.backend_agg',
-                         'Joint Photographic Experts Group')
-        register_backend('jpeg', 'matplotlib.backends.backend_agg',
-                         'Joint Photographic Experts Group')
-
-        # TIFF support
-        register_backend('tif', 'matplotlib.backends.backend_agg',
-                         'Tagged Image File Format')
-        register_backend('tiff', 'matplotlib.backends.backend_agg',
-                         'Tagged Image File Format')
-
-    def __init__(self, figure):
+
+    @_api.classproperty
+    def supports_blit(cls):
+        """If this Canvas sub-class supports blitting."""
+        return (hasattr(cls, "copy_from_bbox")
+                and hasattr(cls, "restore_region"))
+
+    def __init__(self, figure=None):
+        from matplotlib.figure import Figure
+        self._fix_ipython_backend2gui()
+        self._is_idle_drawing = True
+        self._is_saving = False
+        if figure is None:
+            figure = Figure()
         figure.set_canvas(self)
         self.figure = figure
-        # a dictionary from event name to a dictionary that maps cid->func
-        self.callbacks = cbook.CallbackRegistry()
+        self.manager = None
         self.widgetlock = widgets.LockDraw()
         self._button = None  # the button pressed
         self._key = None  # the key pressed
-        self._lastx, self._lasty = None, None
-        self.button_pick_id = self.mpl_connect('button_press_event', self.pick)
-        self.scroll_pick_id = self.mpl_connect('scroll_event', self.pick)
-        self.mouse_grabber = None  # the axes currently grabbing mouse
+        self.mouse_grabber = None  # the Axes currently grabbing mouse
         self.toolbar = None  # NavigationToolbar2 will set me
-        self._is_saving = False
-        if False:
-            ## highlight the artists that are hit
-            self.mpl_connect('motion_notify_event', self.onHilite)
-            ## delete the artists that are clicked on
-            #self.mpl_disconnect(self.button_pick_id)
-            #self.mpl_connect('button_press_event',self.onRemove)
-
-    def is_saving(self):
-        """
-        Returns `True` when the renderer is in the process of saving
-        to a file, rather than rendering for an on-screen buffer.
-        """
-        return self._is_saving
+        self._is_idle_drawing = False
+        # We don't want to scale up the figure DPI more than once.
+        figure._original_dpi = figure.dpi
+        self._device_pixel_ratio = 1
+        super().__init__()  # Typically the GUI widget init (if any).
 
-    def onRemove(self, ev):
-        """
-        Mouse event processor which removes the top artist
-        under the cursor.  Connect this to the 'mouse_press_event'
-        using::
-
-            canvas.mpl_connect('mouse_press_event',canvas.onRemove)
-        """
-        def sort_artists(artists):
-            # This depends on stable sort and artists returned
-            # from get_children in z order.
-            L = [(h.zorder, h) for h in artists]
-            L.sort()
-            return [h for zorder, h in L]
-
-        # Find the top artist under the cursor
-        under = sort_artists(self.figure.hitlist(ev))
-        h = None
-        if under:
-            h = under[-1]
-
-        # Try deleting that artist, or its parent if you
-        # can't delete the artist
-        while h:
-            if h.remove():
-                self.draw_idle()
-                break
-            parent = None
-            for p in under:
-                if h in p.get_children():
-                    parent = p
-                    break
-            h = parent
-
-    def onHilite(self, ev):
-        """
-        Mouse event processor which highlights the artists
-        under the cursor.  Connect this to the 'motion_notify_event'
-        using::
-
-            canvas.mpl_connect('motion_notify_event',canvas.onHilite)
-        """
-        if not hasattr(self, '_active'):
-            self._active = dict()
-
-        under = self.figure.hitlist(ev)
-        enter = [a for a in under if a not in self._active]
-        leave = [a for a in self._active if a not in under]
-        #print "within:"," ".join([str(x) for x in under])
-        #print "entering:",[str(a) for a in enter]
-        #print "leaving:",[str(a) for a in leave]
-        # On leave restore the captured colour
-        for a in leave:
-            if hasattr(a, 'get_color'):
-                a.set_color(self._active[a])
-            elif hasattr(a, 'get_edgecolor'):
-                a.set_edgecolor(self._active[a][0])
-                a.set_facecolor(self._active[a][1])
-            del self._active[a]
-        # On enter, capture the color and repaint the artist
-        # with the highlight colour.  Capturing colour has to
-        # be done first in case the parent recolouring affects
-        # the child.
-        for a in enter:
-            if hasattr(a, 'get_color'):
-                self._active[a] = a.get_color()
-            elif hasattr(a, 'get_edgecolor'):
-                self._active[a] = (a.get_edgecolor(), a.get_facecolor())
-            else:
-                self._active[a] = None
-        for a in enter:
-            if hasattr(a, 'get_color'):
-                a.set_color('red')
-            elif hasattr(a, 'get_edgecolor'):
-                a.set_edgecolor('red')
-                a.set_facecolor('lightblue')
-            else:
-                self._active[a] = None
-        self.draw_idle()
+    callbacks = property(lambda self: self.figure._canvas_callbacks)
+    button_pick_id = property(lambda self: self.figure._button_pick_id)
+    scroll_pick_id = property(lambda self: self.figure._scroll_pick_id)
 
-    def pick(self, mouseevent):
-        if not self.widgetlock.locked():
-            self.figure.pick(mouseevent)
+    @classmethod
+    @functools.cache
+    def _fix_ipython_backend2gui(cls):
+        # Fix hard-coded module -> toolkit mapping in IPython (used for
+        # `ipython --auto`).  This cannot be done at import time due to
+        # ordering issues, so we do it when creating a canvas, and should only
+        # be done once per class (hence the `cache`).
+
+        # This function will not be needed when Python 3.12, the latest version
+        # supported by IPython < 8.24, reaches end-of-life in late 2028.
+        # At that time this function can be made a no-op and deprecated.
+        mod_ipython = sys.modules.get("IPython")
+        if mod_ipython is None or mod_ipython.version_info[:2] >= (8, 24):
+            # Use of backend2gui is not needed for IPython >= 8.24 as the
+            # functionality has been moved to Matplotlib.
+            return
 
-    def blit(self, bbox=None):
-        """
-        blit the canvas in bbox (default entire canvas)
-        """
-        pass
+        import IPython
+        ip = IPython.get_ipython()
+        if not ip:
+            return
+        from IPython.core import pylabtools as pt
+        if (not hasattr(pt, "backend2gui")
+                or not hasattr(ip, "enable_matplotlib")):
+            # In case we ever move the patch to IPython and remove these APIs,
+            # don't break on our side.
+            return
+        backend2gui_rif = {
+            "qt": "qt",
+            "gtk3": "gtk3",
+            "gtk4": "gtk4",
+            "wx": "wx",
+            "macosx": "osx",
+        }.get(cls.required_interactive_framework)
+        if backend2gui_rif:
+            if _is_non_interactive_terminal_ipython(ip):
+                ip.enable_gui(backend2gui_rif)
 
-    def resize(self, w, h):
-        """
-        set the canvas size in pixels
+    @classmethod
+    def new_manager(cls, figure, num):
         """
-        pass
+        Create a new figure manager for *figure*, using this canvas class.
 
-    def draw_event(self, renderer):
-        """
-        This method will be call all functions connected to the
-        'draw_event' with a :class:`DrawEvent`
+        Notes
+        -----
+        This method should not be reimplemented in subclasses.  If
+        custom manager creation logic is needed, please reimplement
+        ``FigureManager.create_with_canvas``.
         """
+        return cls.manager_class.create_with_canvas(cls, figure, num)
 
-        s = 'draw_event'
-        event = DrawEvent(s, self, renderer)
-        self.callbacks.process(s, event)
+    @contextmanager
+    def _idle_draw_cntx(self):
+        self._is_idle_drawing = True
+        try:
+            yield
+        finally:
+            self._is_idle_drawing = False
 
-    def resize_event(self):
+    def is_saving(self):
         """
-        This method will be call all functions connected to the
-        'resize_event' with a :class:`ResizeEvent`
+        Return whether the renderer is in the process of saving
+        to a file, rather than rendering for an on-screen buffer.
         """
+        return self._is_saving
 
-        s = 'resize_event'
-        event = ResizeEvent(s, self)
-        self.callbacks.process(s, event)
+    def blit(self, bbox=None):
+        """Blit the canvas in bbox (default entire canvas)."""
 
-    def close_event(self, guiEvent=None):
+    def inaxes(self, xy):
         """
-        This method will be called by all functions connected to the
-        'close_event' with a :class:`CloseEvent`
-        """
-        s = 'close_event'
-        try:
-            event = CloseEvent(s, self, guiEvent=guiEvent)
-            self.callbacks.process(s, event)
-        except (TypeError, AttributeError):
-            pass
-            # Suppress the TypeError when the python session is being killed.
-            # It may be that a better solution would be a mechanism to
-            # disconnect all callbacks upon shutdown.
-            # AttributeError occurs on OSX with qt4agg upon exiting
-            # with an open window; 'callbacks' attribute no longer exists.
+        Return the topmost visible `~.axes.Axes` containing the point *xy*.
 
-    def key_press_event(self, key, guiEvent=None):
-        """
-        This method will be call all functions connected to the
-        'key_press_event' with a :class:`KeyEvent`
-        """
-        self._key = key
-        s = 'key_press_event'
-        event = KeyEvent(
-            s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
-        self.callbacks.process(s, event)
+        Parameters
+        ----------
+        xy : (float, float)
+            (x, y) pixel positions from left/bottom of the canvas.
 
-    def key_release_event(self, key, guiEvent=None):
-        """
-        This method will be call all functions connected to the
-        'key_release_event' with a :class:`KeyEvent`
-        """
-        s = 'key_release_event'
-        event = KeyEvent(
-            s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
-        self.callbacks.process(s, event)
-        self._key = None
+        Returns
+        -------
+        `~matplotlib.axes.Axes` or None
+            The topmost visible Axes containing the point, or None if there
+            is no Axes at the point.
+        """
+        axes_list = [a for a in self.figure.get_axes()
+                     if a.patch.contains_point(xy) and a.get_visible()]
+        if axes_list:
+            axes = cbook._topmost_artist(axes_list)
+        else:
+            axes = None
 
-    def pick_event(self, mouseevent, artist, **kwargs):
-        """
-        This method will be called by artists who are picked and will
-        fire off :class:`PickEvent` callbacks registered listeners
-        """
-        s = 'pick_event'
-        event = PickEvent(s, self, mouseevent, artist, **kwargs)
-        self.callbacks.process(s, event)
+        return axes
 
-    def scroll_event(self, x, y, step, guiEvent=None):
+    def grab_mouse(self, ax):
         """
-        Backend derived classes should call this function on any
-        scroll wheel event.  x,y are the canvas coords: 0,0 is lower,
-        left.  button and key are as defined in MouseEvent.
+        Set the child `~.axes.Axes` which is grabbing the mouse events.
 
-        This method will be call all functions connected to the
-        'scroll_event' with a :class:`MouseEvent` instance.
+        Usually called by the widgets themselves. It is an error to call this
+        if the mouse is already grabbed by another Axes.
         """
-        if step >= 0:
-            self._button = 'up'
-        else:
-            self._button = 'down'
-        s = 'scroll_event'
-        mouseevent = MouseEvent(s, self, x, y, self._button, self._key,
-                                step=step, guiEvent=guiEvent)
-        self.callbacks.process(s, mouseevent)
+        if self.mouse_grabber not in (None, ax):
+            raise RuntimeError("Another Axes already grabs mouse input")
+        self.mouse_grabber = ax
 
-    def button_press_event(self, x, y, button, dblclick=False, guiEvent=None):
+    def release_mouse(self, ax):
         """
-        Backend derived classes should call this function on any mouse
-        button press.  x,y are the canvas coords: 0,0 is lower, left.
-        button and key are as defined in :class:`MouseEvent`.
-
-        This method will be call all functions connected to the
-        'button_press_event' with a :class:`MouseEvent` instance.
+        Release the mouse grab held by the `~.axes.Axes` *ax*.
 
+        Usually called by the widgets. It is ok to call this even if *ax*
+        doesn't have the mouse grab currently.
         """
-        self._button = button
-        s = 'button_press_event'
-        mouseevent = MouseEvent(s, self, x, y, button, self._key,
-                                dblclick=dblclick, guiEvent=guiEvent)
-        self.callbacks.process(s, mouseevent)
+        if self.mouse_grabber is ax:
+            self.mouse_grabber = None
 
-    def button_release_event(self, x, y, button, guiEvent=None):
+    def set_cursor(self, cursor):
         """
-        Backend derived classes should call this function on any mouse
-        button release.
-
-        *x*
-            the canvas coordinates where 0=left
+        Set the current cursor.
 
-        *y*
-            the canvas coordinates where 0=bottom
+        This may have no effect if the backend does not display anything.
 
-        *guiEvent*
-            the native UI event that generated the mpl event
-
-
-        This method will be call all functions connected to the
-        'button_release_event' with a :class:`MouseEvent` instance.
+        If required by the backend, this method should trigger an update in
+        the backend event loop after the cursor is set, as this method may be
+        called e.g. before a long-running task during which the GUI is not
+        updated.
 
+        Parameters
+        ----------
+        cursor : `.Cursors`
+            The cursor to display over the canvas. Note: some backends may
+            change the cursor for the entire window.
         """
-        s = 'button_release_event'
-        event = MouseEvent(s, self, x, y, button, self._key, guiEvent=guiEvent)
-        self.callbacks.process(s, event)
-        self._button = None
 
-    def motion_notify_event(self, x, y, guiEvent=None):
+    def draw(self, *args, **kwargs):
         """
-        Backend derived classes should call this function on any
-        motion-notify-event.
-
-        *x*
-            the canvas coordinates where 0=left
+        Render the `.Figure`.
 
-        *y*
-            the canvas coordinates where 0=bottom
+        This method must walk the artist tree, even if no output is produced,
+        because it triggers deferred work that users may want to access
+        before saving output to disk. For example computing limits,
+        auto-limits, and tick values.
+        """
 
-        *guiEvent*
-            the native UI event that generated the mpl event
+    def draw_idle(self, *args, **kwargs):
+        """
+        Request a widget redraw once control returns to the GUI event loop.
 
+        Even if multiple calls to `draw_idle` occur before control returns
+        to the GUI event loop, the figure will only be rendered once.
 
-        This method will be call all functions connected to the
-        'motion_notify_event' with a :class:`MouseEvent` instance.
+        Notes
+        -----
+        Backends may choose to override the method and implement their own
+        strategy to prevent multiple renderings.
 
         """
-        self._lastx, self._lasty = x, y
-        s = 'motion_notify_event'
-        event = MouseEvent(s, self, x, y, self._button, self._key,
-                           guiEvent=guiEvent)
-        self.callbacks.process(s, event)
+        if not self._is_idle_drawing:
+            with self._idle_draw_cntx():
+                self.draw(*args, **kwargs)
 
-    def leave_notify_event(self, guiEvent=None):
+    @property
+    def device_pixel_ratio(self):
         """
-        Backend derived classes should call this function when leaving
-        canvas
+        The ratio of physical to logical pixels used for the canvas on screen.
 
-        *guiEvent*
-            the native UI event that generated the mpl event
+        By default, this is 1, meaning physical and logical pixels are the same
+        size. Subclasses that support High DPI screens may set this property to
+        indicate that said ratio is different. All Matplotlib interaction,
+        unless working directly with the canvas, remains in logical pixels.
 
         """
+        return self._device_pixel_ratio
 
-        self.callbacks.process('figure_leave_event', LocationEvent.lastevent)
-        LocationEvent.lastevent = None
-        self._lastx, self._lasty = None, None
-
-    def enter_notify_event(self, guiEvent=None, xy=None):
+    def _set_device_pixel_ratio(self, ratio):
         """
-        Backend derived classes should call this function when entering
-        canvas
+        Set the ratio of physical to logical pixels used for the canvas.
 
-        *guiEvent*
-            the native UI event that generated the mpl event
-        *xy*
-            the coordinate location of the pointer when the canvas is
-            entered
+        Subclasses that support High DPI screens can set this property to
+        indicate that said ratio is different. The canvas itself will be
+        created at the physical size, while the client side will use the
+        logical size. Thus the DPI of the Figure will change to be scaled by
+        this ratio. Implementations that support High DPI screens should use
+        physical pixels for events so that transforms back to Axes space are
+        correct.
 
-        """
-        if xy is not None:
-            x, y = xy
-            self._lastx, self._lasty = x, y
+        By default, this is 1, meaning physical and logical pixels are the same
+        size.
 
-        event = Event('figure_enter_event', self, guiEvent)
-        self.callbacks.process('figure_enter_event', event)
+        Parameters
+        ----------
+        ratio : float
+            The ratio of logical to physical pixels used for the canvas.
 
-    def idle_event(self, guiEvent=None):
-        """Called when GUI is idle."""
-        s = 'idle_event'
-        event = IdleEvent(s, self, guiEvent=guiEvent)
-        self.callbacks.process(s, event)
+        Returns
+        -------
+        bool
+            Whether the ratio has changed. Backends may interpret this as a
+            signal to resize the window, repaint the canvas, or change any
+            other relevant properties.
+        """
+        if self._device_pixel_ratio == ratio:
+            return False
+        # In cases with mixed resolution displays, we need to be careful if the
+        # device pixel ratio changes - in this case we need to resize the
+        # canvas accordingly. Some backends provide events that indicate a
+        # change in DPI, but those that don't will update this before drawing.
+        dpi = ratio * self.figure._original_dpi
+        self.figure._set_dpi(dpi, forward=False)
+        self._device_pixel_ratio = ratio
         return True
 
-    def grab_mouse(self, ax):
-        """
-        Set the child axes which are currently grabbing the mouse events.
-        Usually called by the widgets themselves.
-        It is an error to call this if the mouse is already grabbed by
-        another axes.
-        """
-        if self.mouse_grabber not in (None, ax):
-            raise RuntimeError('two different attempted to grab mouse input')
-        self.mouse_grabber = ax
-
-    def release_mouse(self, ax):
-        """
-        Release the mouse grab held by the axes, ax.
-        Usually called by the widgets.
-        It is ok to call this even if you ax doesn't have the mouse
-        grab currently.
-        """
-        if self.mouse_grabber is ax:
-            self.mouse_grabber = None
-
-    def draw(self, *args, **kwargs):
+    def get_width_height(self, *, physical=False):
         """
-        Render the :class:`~matplotlib.figure.Figure`
-        """
-        pass
+        Return the figure width and height in integral points or pixels.
 
-    def draw_idle(self, *args, **kwargs):
-        """
-        :meth:`draw` only if idle; defaults to draw but backends can overrride
-        """
-        self.draw(*args, **kwargs)
+        When the figure is used on High DPI screens (and the backend supports
+        it), the truncation to integers occurs after scaling by the device
+        pixel ratio.
 
-    def draw_cursor(self, event):
-        """
-        Draw a cursor in the event.axes if inaxes is not None.  Use
-        native GUI drawing for efficiency if possible
-        """
-        pass
+        Parameters
+        ----------
+        physical : bool, default: False
+            Whether to return true physical pixels or logical pixels. Physical
+            pixels may be used by backends that support HiDPI, but still
+            configure the canvas using its actual size.
 
-    def get_width_height(self):
-        """
-        Return the figure width and height in points or pixels
-        (depending on the backend), truncated to integers
+        Returns
+        -------
+        width, height : int
+            The size of the figure, in points or pixels, depending on the
+            backend.
         """
-        return int(self.figure.bbox.width), int(self.figure.bbox.height)
+        return tuple(int(size / (1 if physical else self.device_pixel_ratio))
+                     for size in self.figure.bbox.max)
 
     @classmethod
     def get_supported_filetypes(cls):
-        """Return dict of savefig file formats supported by this backend"""
+        """Return dict of savefig file formats supported by this backend."""
         return cls.filetypes
 
     @classmethod
     def get_supported_filetypes_grouped(cls):
-        """Return a dict of savefig file formats supported by this backend,
+        """
+        Return a dict of savefig file formats supported by this backend,
         where the keys are a file type name, such as 'Joint Photographic
         Experts Group', and the values are a list of filename extensions used
-        for that filetype, such as ['jpg', 'jpeg']."""
+        for that filetype, such as ['jpg', 'jpeg'].
+        """
         groupings = {}
-        for ext, name in six.iteritems(cls.filetypes):
+        for ext, name in cls.filetypes.items():
             groupings.setdefault(name, []).append(ext)
             groupings[name].sort()
         return groupings
 
-    def _get_output_canvas(self, format):
-        """Return a canvas that is suitable for saving figures to a specified
-        file format. If necessary, this function will switch to a registered
-        backend that supports the format.
+    @contextmanager
+    def _switch_canvas_and_return_print_method(self, fmt, backend=None):
         """
-        method_name = 'print_%s' % format
-
-        # check if this canvas supports the requested format
-        if hasattr(self, method_name):
-            return self
+        Context manager temporarily setting the canvas for saving the figure::
 
-        # check if there is a default canvas for the requested format
-        canvas_class = get_registered_canvas_class(format)
-        if canvas_class:
-            return self.switch_backends(canvas_class)
+            with (canvas._switch_canvas_and_return_print_method(fmt, backend)
+                  as print_method):
+                # ``print_method`` is a suitable ``print_{fmt}`` method, and
+                # the figure's canvas is temporarily switched to the method's
+                # canvas within the with... block.  ``print_method`` is also
+                # wrapped to suppress extra kwargs passed by ``print_figure``.
 
-        # else report error for unsupported format
-        formats = sorted(self.get_supported_filetypes())
-        raise ValueError('Format "%s" is not supported.\n'
-                         'Supported formats: '
-                         '%s.' % (format, ', '.join(formats)))
+        Parameters
+        ----------
+        fmt : str
+            If *backend* is None, then determine a suitable canvas class for
+            saving to format *fmt* -- either the current canvas class, if it
+            supports *fmt*, or whatever `get_registered_canvas_class` returns;
+            switch the figure canvas to that canvas class.
+        backend : str or None, default: None
+            If not None, switch the figure canvas to the ``FigureCanvas`` class
+            of the given backend.
+        """
+        canvas = None
+        if backend is not None:
+            # Return a specific canvas class, if requested.
+            from .backends.registry import backend_registry
+            canvas_class = backend_registry.load_backend_module(backend).FigureCanvas
+            if not hasattr(canvas_class, f"print_{fmt}"):
+                raise ValueError(
+                    f"The {backend!r} backend does not support {fmt} output")
+            canvas = canvas_class(self.figure)
+        elif hasattr(self, f"print_{fmt}"):
+            # Return the current canvas if it supports the requested format.
+            canvas = self
+        else:
+            # Return a default canvas for the requested format, if it exists.
+            canvas_class = get_registered_canvas_class(fmt)
+            if canvas_class is None:
+                raise ValueError(
+                    "Format {!r} is not supported (supported formats: {})".format(
+                        fmt, ", ".join(sorted(self.get_supported_filetypes()))))
+            canvas = canvas_class(self.figure)
+        canvas._is_saving = self._is_saving
+        meth = getattr(canvas, f"print_{fmt}")
+        mod = (meth.func.__module__
+               if hasattr(meth, "func")  # partialmethod, e.g. backend_wx.
+               else meth.__module__)
+        if mod.startswith(("matplotlib.", "mpl_toolkits.")):
+            optional_kws = {  # Passed by print_figure for other renderers.
+                "dpi", "facecolor", "edgecolor", "orientation",
+                "bbox_inches_restore"}
+            skip = optional_kws - {*inspect.signature(meth).parameters}
+            print_method = functools.wraps(meth)(lambda *args, **kwargs: meth(
+                *args, **{k: v for k, v in kwargs.items() if k not in skip}))
+        else:  # Let third-parties do as they see fit.
+            print_method = meth
+        try:
+            yield print_method
+        finally:
+            self.figure.canvas = self
 
-    def print_figure(self, filename, dpi=None, facecolor='w', edgecolor='w',
-                     orientation='portrait', format=None, **kwargs):
+    def print_figure(
+            self, filename, dpi=None, facecolor=None, edgecolor=None,
+            orientation='portrait', format=None, *,
+            bbox_inches=None, pad_inches=None, bbox_extra_artists=None,
+            backend=None, **kwargs):
         """
         Render the figure to hardcopy. Set the figure patch face and edge
         colors.  This is useful because some of the GUIs have a gray figure
         face color background and you'll probably want to override this on
         hardcopy.
 
-        Arguments are:
-
-        *filename*
-            can also be a file object on image backends
-
-        *orientation*
-            only currently applies to PostScript printing.
+        Parameters
+        ----------
+        filename : str or path-like or file-like
+            The file where the figure is saved.
 
-        *dpi*
-            the dots per inch to save the figure in; if None, use savefig.dpi
+        dpi : float, default: :rc:`savefig.dpi`
+            The dots per inch to save the figure in.
 
-        *facecolor*
-            the facecolor of the figure
+        facecolor : :mpltype:`color` or 'auto', default: :rc:`savefig.facecolor`
+            The facecolor of the figure.  If 'auto', use the current figure
+            facecolor.
 
-        *edgecolor*
-            the edgecolor of the figure
+        edgecolor : :mpltype:`color` or 'auto', default: :rc:`savefig.edgecolor`
+            The edgecolor of the figure.  If 'auto', use the current figure
+            edgecolor.
 
-        *orientation*
-            landscape' | 'portrait' (not supported on all backends)
+        orientation : {'landscape', 'portrait'}, default: 'portrait'
+            Only currently applies to PostScript printing.
 
-        *format*
-            when set, forcibly set the file format to save to
+        format : str, optional
+            Force a specific file format. If not given, the format is inferred
+            from the *filename* extension, and if that fails from
+            :rc:`savefig.format`.
 
-        *bbox_inches*
-            Bbox in inches. Only the given portion of the figure is
-            saved. If 'tight', try to figure out the tight bbox of
-            the figure. If None, use savefig.bbox
+        bbox_inches : 'tight' or `.Bbox`, default: :rc:`savefig.bbox`
+            Bounding box in inches: only the given portion of the figure is
+            saved.  If 'tight', try to figure out the tight bbox of the figure.
 
-        *pad_inches*
-            Amount of padding around the figure when bbox_inches is
-            'tight'. If None, use savefig.pad_inches
+        pad_inches : float or 'layout', default: :rc:`savefig.pad_inches`
+            Amount of padding in inches around the figure when bbox_inches is
+            'tight'. If 'layout' use the padding from the constrained or
+            compressed layout engine; ignored if one of those engines is not in
+            use.
 
-        *bbox_extra_artists*
+        bbox_extra_artists : list of `~matplotlib.artist.Artist`, optional
             A list of extra artists that will be considered when the
             tight bbox is calculated.
 
+        backend : str, optional
+            Use a non-default backend to render the file, e.g. to render a
+            png file with the "cairo" backend rather than the default "agg",
+            or a pdf file with the "pgf" backend rather than the default
+            "pdf".  Note that the default backend is normally sufficient.  See
+            :ref:`the-builtin-backends` for a list of valid backends for each
+            file format.  Custom backends can be referenced as "module://...".
         """
         if format is None:
             # get format from filename, or from backend's default filetype
-            if cbook.is_string_like(filename):
+            if isinstance(filename, os.PathLike):
+                filename = os.fspath(filename)
+            if isinstance(filename, str):
                 format = os.path.splitext(filename)[1][1:]
             if format is None or format == '':
                 format = self.get_default_filetype()
-                if cbook.is_string_like(filename):
+                if isinstance(filename, str):
                     filename = filename.rstrip('.') + '.' + format
         format = format.lower()
 
-        # get canvas object and print method for format
-        canvas = self._get_output_canvas(format)
-        print_method = getattr(canvas, 'print_%s' % format)
-
-        if dpi is None:
-            dpi = rcParams['savefig.dpi']
-
-        origDPI = self.figure.dpi
-        origfacecolor = self.figure.get_facecolor()
-        origedgecolor = self.figure.get_edgecolor()
-
-        self.figure.dpi = dpi
-        self.figure.set_facecolor(facecolor)
-        self.figure.set_edgecolor(edgecolor)
-
-        bbox_inches = kwargs.pop("bbox_inches", None)
-        if bbox_inches is None:
-            bbox_inches = rcParams['savefig.bbox']
-
-        if bbox_inches:
-            # call adjust_bbox to save only the given area
-            if bbox_inches == "tight":
-                # when bbox_inches == "tight", it saves the figure
-                # twice. The first save command is just to estimate
-                # the bounding box of the figure. A stringIO object is
-                # used as a temporary file object, but it causes a
-                # problem for some backends (ps backend with
-                # usetex=True) if they expect a filename, not a
-                # file-like object. As I think it is best to change
-                # the backend to support file-like object, i'm going
-                # to leave it as it is. However, a better solution
-                # than stringIO seems to be needed. -JJL
-                #result = getattr(self, method_name)
-                result = print_method(
-                    io.BytesIO(),
-                    dpi=dpi,
-                    facecolor=facecolor,
-                    edgecolor=edgecolor,
-                    orientation=orientation,
-                    dryrun=True,
-                    **kwargs)
-                renderer = self.figure._cachedRenderer
-                bbox_inches = self.figure.get_tightbbox(renderer)
-
-                bbox_artists = kwargs.pop("bbox_extra_artists", None)
-                if bbox_artists is None:
-                    bbox_artists = self.figure.get_default_bbox_extra_artists()
-
-                bbox_filtered = []
-                for a in bbox_artists:
-                    bbox = a.get_window_extent(renderer)
-                    if a.get_clip_on():
-                        clip_box = a.get_clip_box()
-                        if clip_box is not None:
-                            bbox = Bbox.intersection(bbox, clip_box)
-                        clip_path = a.get_clip_path()
-                        if clip_path is not None and bbox is not None:
-                            clip_path = clip_path.get_fully_transformed_path()
-                            bbox = Bbox.intersection(bbox,
-                                                     clip_path.get_extents())
-                    if bbox is not None and (bbox.width != 0 or
-                                             bbox.height != 0):
-                        bbox_filtered.append(bbox)
-
-                if bbox_filtered:
-                    _bbox = Bbox.union(bbox_filtered)
-                    trans = Affine2D().scale(1.0 / self.figure.dpi)
-                    bbox_extra = TransformedBbox(_bbox, trans)
-                    bbox_inches = Bbox.union([bbox_inches, bbox_extra])
-
-                pad = kwargs.pop("pad_inches", None)
-                if pad is None:
-                    pad = rcParams['savefig.pad_inches']
-
-                bbox_inches = bbox_inches.padded(pad)
-
-            restore_bbox = tight_bbox.adjust_bbox(self.figure, bbox_inches,
-                                                  canvas.fixed_dpi)
-
-            _bbox_inches_restore = (bbox_inches, restore_bbox)
-        else:
-            _bbox_inches_restore = None
+        dpi = mpl._val_or_rc(dpi, 'savefig.dpi')
+        if dpi == 'figure':
+            dpi = getattr(self.figure, '_original_dpi', self.figure.dpi)
+
+        # Remove the figure manager, if any, to avoid resizing the GUI widget.
+        with (cbook._setattr_cm(self, manager=None),
+              self._switch_canvas_and_return_print_method(format, backend)
+                 as print_method,
+              cbook._setattr_cm(self.figure, dpi=dpi),
+              cbook._setattr_cm(self.figure.canvas, _device_pixel_ratio=1),
+              cbook._setattr_cm(self.figure.canvas, _is_saving=True),
+              ExitStack() as stack):
+
+            for prop, color in [("facecolor", facecolor), ("edgecolor", edgecolor)]:
+                color = mpl._val_or_rc(color, f"savefig.{prop}")
+                if not cbook._str_equal(color, "auto"):
+                    stack.enter_context(self.figure._cm_set(**{prop: color}))
+
+            bbox_inches = mpl._val_or_rc(bbox_inches, 'savefig.bbox')
+
+            layout_engine = self.figure.get_layout_engine()
+            if layout_engine is not None or bbox_inches == "tight":
+                # we need to trigger a draw before printing to make sure
+                # CL works.  "tight" also needs a draw to get the right
+                # locations:
+                renderer = _get_renderer(
+                    self.figure,
+                    functools.partial(
+                        print_method, orientation=orientation)
+                )
+                # we do this instead of `self.figure.draw_without_rendering`
+                # so that we can inject the orientation
+                with getattr(renderer, "_draw_disabled", nullcontext)():
+                    self.figure.draw(renderer)
+            else:
+                renderer = None
+
+            if bbox_inches:
+                if bbox_inches == "tight":
+                    bbox_inches = self.figure.get_tightbbox(
+                        renderer, bbox_extra_artists=bbox_extra_artists)
+                    if (isinstance(layout_engine, ConstrainedLayoutEngine) and
+                            pad_inches == "layout"):
+                        h_pad = layout_engine.get()["h_pad"]
+                        w_pad = layout_engine.get()["w_pad"]
+                    else:
+                        if pad_inches in [None, "layout"]:
+                            pad_inches = rcParams['savefig.pad_inches']
+                        h_pad = w_pad = pad_inches
+                    bbox_inches = bbox_inches.padded(w_pad, h_pad)
 
-        self._is_saving = True
-        try:
-            #result = getattr(self, method_name)(
-            result = print_method(
-                filename,
-                dpi=dpi,
-                facecolor=facecolor,
-                edgecolor=edgecolor,
-                orientation=orientation,
-                bbox_inches_restore=_bbox_inches_restore,
-                **kwargs)
-        finally:
-            if bbox_inches and restore_bbox:
-                restore_bbox()
+                # call adjust_bbox to save only the given area
+                restore_bbox = _tight_bbox.adjust_bbox(
+                    self.figure, bbox_inches, renderer, self.figure.canvas.fixed_dpi)
+
+                _bbox_inches_restore = (bbox_inches, restore_bbox)
+            else:
+                _bbox_inches_restore = None
 
-            self.figure.dpi = origDPI
-            self.figure.set_facecolor(origfacecolor)
-            self.figure.set_edgecolor(origedgecolor)
-            self.figure.set_canvas(self)
-            self._is_saving = False
-            #self.figure.canvas.draw() ## seems superfluous
-        return result
+            # we have already done layout above, so turn it off:
+            stack.enter_context(self.figure._cm_set(layout_engine='none'))
+            try:
+                # _get_renderer may change the figure dpi (as vector formats
+                # force the figure dpi to 72), so we need to set it again here.
+                with cbook._setattr_cm(self.figure, dpi=dpi):
+                    result = print_method(
+                        filename,
+                        facecolor=facecolor,
+                        edgecolor=edgecolor,
+                        orientation=orientation,
+                        bbox_inches_restore=_bbox_inches_restore,
+                        **kwargs)
+            finally:
+                if bbox_inches and restore_bbox:
+                    restore_bbox()
+
+            return result
 
     @classmethod
     def get_default_filetype(cls):
         """
-        Get the default savefig file format as specified in rcParam
-        ``savefig.format``. Returned string excludes period. Overridden
-        in backends that only support a single file type.
-        """
-        return rcParams['savefig.format']
-
-    def get_window_title(self):
-        """
-        Get the title text of the window containing the figure.
-        Return None if there is no window (e.g., a PS backend).
-        """
-        if hasattr(self, "manager"):
-            return self.manager.get_window_title()
+        Return the default savefig file format as specified in
+        :rc:`savefig.format`.
 
-    def set_window_title(self, title):
+        The returned string does not include a period. This method is
+        overridden in backends that only support a single file type.
         """
-        Set the title text of the window containing the figure.  Note that
-        this has no effect if there is no window (e.g., a PS backend).
-        """
-        if hasattr(self, "manager"):
-            self.manager.set_window_title(title)
+        return rcParams['savefig.format']
 
     def get_default_filename(self):
         """
-        Return a string, which includes extension, suitable for use as
-        a default filename.
-        """
-        default_filename = self.get_window_title() or 'image'
-        default_filename = default_filename.lower().replace(' ', '_')
-        return default_filename + '.' + self.get_default_filetype()
+        Return a suitable default filename, including the extension.
+        """
+        default_basename = (
+            self.manager.get_window_title()
+            if self.manager is not None
+            else ''
+        )
+        default_basename = default_basename or 'image'
+        # Characters to be avoided in a NT path:
+        # https://msdn.microsoft.com/en-us/library/windows/desktop/aa365247(v=vs.85).aspx#naming_conventions
+        # plus ' '
+        removed_chars = '<>:"/\\|?*\0 '
+        default_basename = default_basename.translate(
+            {ord(c): "_" for c in removed_chars})
+        default_filetype = self.get_default_filetype()
+        return f'{default_basename}.{default_filetype}'
 
-    def switch_backends(self, FigureCanvasClass):
+    def mpl_connect(self, s, func):
         """
-        Instantiate an instance of FigureCanvasClass
+        Bind function *func* to event *s*.
 
-        This is used for backend switching, e.g., to instantiate a
-        FigureCanvasPS from a FigureCanvasGTK.  Note, deep copying is
-        not done, so any changes to one of the instances (e.g., setting
-        figure size or line props), will be reflected in the other
-        """
-        newCanvas = FigureCanvasClass(self.figure)
-        newCanvas._is_saving = self._is_saving
-        return newCanvas
+        Parameters
+        ----------
+        s : str
+            One of the following events ids:
+
+            - 'button_press_event'
+            - 'button_release_event'
+            - 'draw_event'
+            - 'key_press_event'
+            - 'key_release_event'
+            - 'motion_notify_event'
+            - 'pick_event'
+            - 'resize_event'
+            - 'scroll_event'
+            - 'figure_enter_event',
+            - 'figure_leave_event',
+            - 'axes_enter_event',
+            - 'axes_leave_event'
+            - 'close_event'.
+
+        func : callable
+            The callback function to be executed, which must have the
+            signature::
+
+                def func(event: Event) -> Any
+
+            For the location events (button and key press/release), if the
+            mouse is over the Axes, the ``inaxes`` attribute of the event will
+            be set to the `~matplotlib.axes.Axes` the event occurs is over, and
+            additionally, the variables ``xdata`` and ``ydata`` attributes will
+            be set to the mouse location in data coordinates.  See `.KeyEvent`
+            and `.MouseEvent` for more info.
+
+            .. note::
+
+                If func is a method, this only stores a weak reference to the
+                method. Thus, the figure does not influence the lifetime of
+                the associated object. Usually, you want to make sure that the
+                object is kept alive throughout the lifetime of the figure by
+                holding a reference to it.
 
-    def mpl_connect(self, s, func):
-        """
-        Connect event with string *s* to *func*.  The signature of *func* is::
-
-          def func(event)
-
-        where event is a :class:`matplotlib.backend_bases.Event`.  The
-        following events are recognized
-
-        - 'button_press_event'
-        - 'button_release_event'
-        - 'draw_event'
-        - 'key_press_event'
-        - 'key_release_event'
-        - 'motion_notify_event'
-        - 'pick_event'
-        - 'resize_event'
-        - 'scroll_event'
-        - 'figure_enter_event',
-        - 'figure_leave_event',
-        - 'axes_enter_event',
-        - 'axes_leave_event'
-        - 'close_event'
-
-        For the location events (button and key press/release), if the
-        mouse is over the axes, the variable ``event.inaxes`` will be
-        set to the :class:`~matplotlib.axes.Axes` the event occurs is
-        over, and additionally, the variables ``event.xdata`` and
-        ``event.ydata`` will be defined.  This is the mouse location
-        in data coords.  See
-        :class:`~matplotlib.backend_bases.KeyEvent` and
-        :class:`~matplotlib.backend_bases.MouseEvent` for more info.
-
-        Return value is a connection id that can be used with
-        :meth:`~matplotlib.backend_bases.Event.mpl_disconnect`.
-
-        Example usage::
+        Returns
+        -------
+        cid
+            A connection id that can be used with
+            `.FigureCanvasBase.mpl_disconnect`.
+
+        Examples
+        --------
+        ::
 
             def on_press(event):
                 print('you pressed', event.button, event.xdata, event.ydata)
 
             cid = canvas.mpl_connect('button_press_event', on_press)
-
         """
 
         return self.callbacks.connect(s, func)
 
     def mpl_disconnect(self, cid):
         """
-        Disconnect callback id cid
+        Disconnect the callback with id *cid*.
 
-        Example usage::
+        Examples
+        --------
+        ::
 
             cid = canvas.mpl_connect('button_press_event', on_press)
-            #...later
+            # ... later
             canvas.mpl_disconnect(cid)
         """
-        return self.callbacks.disconnect(cid)
+        self.callbacks.disconnect(cid)
+
+    # Internal subclasses can override _timer_cls instead of new_timer, though
+    # this is not a public API for third-party subclasses.
+    _timer_cls = TimerBase
 
-    def new_timer(self, *args, **kwargs):
+    def new_timer(self, interval=None, callbacks=None):
         """
-        Creates a new backend-specific subclass of
-        :class:`backend_bases.Timer`. This is useful for getting periodic
-        events through the backend's native event loop. Implemented only for
-        backends with GUIs.
+        Create a new backend-specific subclass of `.TimerBase`.
 
-        optional arguments:
+        This is useful for getting periodic events through the backend's native
+        event loop.  Implemented only for backends with GUIs.
 
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
-        """
-        return TimerBase(*args, **kwargs)
+        Parameters
+        ----------
+        interval : int
+            Timer interval in milliseconds.
 
-    def flush_events(self):
-        """
-        Flush the GUI events for the figure. Implemented only for
-        backends with GUIs.
-        """
-        raise NotImplementedError
+        callbacks : list[tuple[callable, tuple, dict]]
+            Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
+            will be executed by the timer every *interval*.
 
-    def start_event_loop(self, timeout):
-        """
-        Start an event loop.  This is used to start a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.  This should not be
-        confused with the main GUI event loop, which is always running
-        and has nothing to do with this.
+            Callbacks which return ``False`` or ``0`` will be removed from the
+            timer.
 
-        This is implemented only for backends with GUIs.
+        Examples
+        --------
+        >>> timer = fig.canvas.new_timer(callbacks=[(f1, (1,), {'a': 3})])
         """
-        raise NotImplementedError
+        return self._timer_cls(interval=interval, callbacks=callbacks)
 
-    def stop_event_loop(self):
+    def flush_events(self):
         """
-        Stop an event loop.  This is used to stop a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.
+        Flush the GUI events for the figure.
 
-        This is implemented only for backends with GUIs.
+        Interactive backends need to reimplement this method.
         """
-        raise NotImplementedError
 
-    def start_event_loop_default(self, timeout=0):
+    def start_event_loop(self, timeout=0):
         """
-        Start an event loop.  This is used to start a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.  This should not be
-        confused with the main GUI event loop, which is always running
-        and has nothing to do with this.
+        Start a blocking event loop.
 
-        This function provides default event loop functionality based
-        on time.sleep that is meant to be used until event loop
-        functions for each of the GUI backends can be written.  As
-        such, it throws a deprecated warning.
+        Such an event loop is used by interactive functions, such as
+        `~.Figure.ginput` and `~.Figure.waitforbuttonpress`, to wait for
+        events.
 
-        Call signature::
+        The event loop blocks until a callback function triggers
+        `stop_event_loop`, or *timeout* is reached.
 
-            start_event_loop_default(self,timeout=0)
+        If *timeout* is 0 or negative, never timeout.
 
-        This call blocks until a callback function triggers
-        stop_event_loop() or *timeout* is reached.  If *timeout* is
-        <=0, never timeout.
-        """
-        str = "Using default event loop until function specific"
-        str += " to this GUI is implemented"
-        warnings.warn(str, mplDeprecation)
+        Only interactive backends need to reimplement this method and it relies
+        on `flush_events` being properly implemented.
 
+        Interactive backends should implement this in a more native way.
+        """
         if timeout <= 0:
             timeout = np.inf
         timestep = 0.01
@@ -2408,171 +2367,358 @@ def start_event_loop_default(self, timeout=0):
             time.sleep(timestep)
             counter += 1
 
-    def stop_event_loop_default(self):
+    def stop_event_loop(self):
         """
-        Stop an event loop.  This is used to stop a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.
-
-        Call signature::
+        Stop the current blocking event loop.
 
-          stop_event_loop_default(self)
+        Interactive backends need to reimplement this to match
+        `start_event_loop`
         """
         self._looping = False
 
 
-def key_press_handler(event, canvas, toolbar=None):
+def key_press_handler(event, canvas=None, toolbar=None):
     """
-    Implement the default mpl key bindings for the canvas and toolbar
-    described at :ref:`key-event-handling`
-
-    *event*
-      a :class:`KeyEvent` instance
-    *canvas*
-      a :class:`FigureCanvasBase` instance
-    *toolbar*
-      a :class:`NavigationToolbar2` instance
-
+    Implement the default Matplotlib key bindings for the canvas and toolbar
+    described at :ref:`key-event-handling`.
+
+    Parameters
+    ----------
+    event : `KeyEvent`
+        A key press/release event.
+    canvas : `FigureCanvasBase`, default: ``event.canvas``
+        The backend-specific canvas instance.  This parameter is kept for
+        back-compatibility, but, if set, should always be equal to
+        ``event.canvas``.
+    toolbar : `NavigationToolbar2`, default: ``event.canvas.toolbar``
+        The navigation cursor toolbar.  This parameter is kept for
+        back-compatibility, but, if set, should always be equal to
+        ``event.canvas.toolbar``.
     """
-    # these bindings happen whether you are over an axes or not
-
     if event.key is None:
         return
+    if canvas is None:
+        canvas = event.canvas
+    if toolbar is None:
+        toolbar = canvas.toolbar
+
+    # toggle fullscreen mode (default key 'f', 'ctrl + f')
+    if event.key in rcParams['keymap.fullscreen']:
+        try:
+            canvas.manager.full_screen_toggle()
+        except AttributeError:
+            pass
 
-    # Load key-mappings from your matplotlibrc file.
-    fullscreen_keys = rcParams['keymap.fullscreen']
-    home_keys = rcParams['keymap.home']
-    back_keys = rcParams['keymap.back']
-    forward_keys = rcParams['keymap.forward']
-    pan_keys = rcParams['keymap.pan']
-    zoom_keys = rcParams['keymap.zoom']
-    save_keys = rcParams['keymap.save']
-    quit_keys = rcParams['keymap.quit']
-    grid_keys = rcParams['keymap.grid']
-    toggle_yscale_keys = rcParams['keymap.yscale']
-    toggle_xscale_keys = rcParams['keymap.xscale']
-    all = rcParams['keymap.all_axes']
-
-    # toggle fullscreen mode (default key 'f')
-    if event.key in fullscreen_keys:
-        canvas.manager.full_screen_toggle()
-
-    # quit the figure (defaut key 'ctrl+w')
-    if event.key in quit_keys:
+    # quit the figure (default key 'ctrl+w')
+    if event.key in rcParams['keymap.quit']:
         Gcf.destroy_fig(canvas.figure)
+    if event.key in rcParams['keymap.quit_all']:
+        Gcf.destroy_all()
 
     if toolbar is not None:
         # home or reset mnemonic  (default key 'h', 'home' and 'r')
-        if event.key in home_keys:
+        if event.key in rcParams['keymap.home']:
             toolbar.home()
         # forward / backward keys to enable left handed quick navigation
         # (default key for backward: 'left', 'backspace' and 'c')
-        elif event.key in back_keys:
+        elif event.key in rcParams['keymap.back']:
             toolbar.back()
         # (default key for forward: 'right' and 'v')
-        elif event.key in forward_keys:
+        elif event.key in rcParams['keymap.forward']:
             toolbar.forward()
         # pan mnemonic (default key 'p')
-        elif event.key in pan_keys:
+        elif event.key in rcParams['keymap.pan']:
             toolbar.pan()
-            toolbar._set_cursor(event)
+            toolbar._update_cursor(event)
         # zoom mnemonic (default key 'o')
-        elif event.key in zoom_keys:
+        elif event.key in rcParams['keymap.zoom']:
             toolbar.zoom()
-            toolbar._set_cursor(event)
+            toolbar._update_cursor(event)
         # saving current figure (default key 's')
-        elif event.key in save_keys:
+        elif event.key in rcParams['keymap.save']:
             toolbar.save_figure()
 
     if event.inaxes is None:
         return
 
-    # these bindings require the mouse to be over an axes to trigger
-
-    # switching on/off a grid in current axes (default key 'g')
-    if event.key in grid_keys:
-        event.inaxes.grid()
-        canvas.draw()
+    # these bindings require the mouse to be over an Axes to trigger
+    def _get_uniform_gridstate(ticks):
+        # Return True/False if all grid lines are on or off, None if they are
+        # not all in the same state.
+        return (True if all(tick.gridline.get_visible() for tick in ticks) else
+                False if not any(tick.gridline.get_visible() for tick in ticks) else
+                None)
+
+    ax = event.inaxes
+    # toggle major grids in current Axes (default key 'g')
+    # Both here and below (for 'G'), we do nothing if *any* grid (major or
+    # minor, x or y) is not in a uniform state, to avoid messing up user
+    # customization.
+    if (event.key in rcParams['keymap.grid']
+            # Exclude minor grids not in a uniform state.
+            and None not in [_get_uniform_gridstate(ax.xaxis.minorTicks),
+                             _get_uniform_gridstate(ax.yaxis.minorTicks)]):
+        x_state = _get_uniform_gridstate(ax.xaxis.majorTicks)
+        y_state = _get_uniform_gridstate(ax.yaxis.majorTicks)
+        cycle = [(False, False), (True, False), (True, True), (False, True)]
+        try:
+            x_state, y_state = (
+                cycle[(cycle.index((x_state, y_state)) + 1) % len(cycle)])
+        except ValueError:
+            # Exclude major grids not in a uniform state.
+            pass
+        else:
+            # If turning major grids off, also turn minor grids off.
+            ax.grid(x_state, which="major" if x_state else "both", axis="x")
+            ax.grid(y_state, which="major" if y_state else "both", axis="y")
+            canvas.draw_idle()
+    # toggle major and minor grids in current Axes (default key 'G')
+    if (event.key in rcParams['keymap.grid_minor']
+            # Exclude major grids not in a uniform state.
+            and None not in [_get_uniform_gridstate(ax.xaxis.majorTicks),
+                             _get_uniform_gridstate(ax.yaxis.majorTicks)]):
+        x_state = _get_uniform_gridstate(ax.xaxis.minorTicks)
+        y_state = _get_uniform_gridstate(ax.yaxis.minorTicks)
+        cycle = [(False, False), (True, False), (True, True), (False, True)]
+        try:
+            x_state, y_state = (
+                cycle[(cycle.index((x_state, y_state)) + 1) % len(cycle)])
+        except ValueError:
+            # Exclude minor grids not in a uniform state.
+            pass
+        else:
+            ax.grid(x_state, which="both", axis="x")
+            ax.grid(y_state, which="both", axis="y")
+            canvas.draw_idle()
     # toggle scaling of y-axes between 'log and 'linear' (default key 'l')
-    elif event.key in toggle_yscale_keys:
-        ax = event.inaxes
+    elif event.key in rcParams['keymap.yscale']:
         scale = ax.get_yscale()
         if scale == 'log':
             ax.set_yscale('linear')
-            ax.figure.canvas.draw()
+            ax.get_figure(root=True).canvas.draw_idle()
         elif scale == 'linear':
-            ax.set_yscale('log')
-            ax.figure.canvas.draw()
+            try:
+                ax.set_yscale('log')
+            except ValueError as exc:
+                _log.warning(str(exc))
+                ax.set_yscale('linear')
+            ax.get_figure(root=True).canvas.draw_idle()
     # toggle scaling of x-axes between 'log and 'linear' (default key 'k')
-    elif event.key in toggle_xscale_keys:
-        ax = event.inaxes
+    elif event.key in rcParams['keymap.xscale']:
         scalex = ax.get_xscale()
         if scalex == 'log':
             ax.set_xscale('linear')
-            ax.figure.canvas.draw()
+            ax.get_figure(root=True).canvas.draw_idle()
         elif scalex == 'linear':
-            ax.set_xscale('log')
-            ax.figure.canvas.draw()
-
-    elif (event.key.isdigit() and event.key != '0') or event.key in all:
-        # keys in list 'all' enables all axes (default key 'a'),
-        # otherwise if key is a number only enable this particular axes
-        # if it was the axes, where the event was raised
-        if not (event.key in all):
-            n = int(event.key) - 1
-        for i, a in enumerate(canvas.figure.get_axes()):
-            # consider axes, in which the event was raised
-            # FIXME: Why only this axes?
-            if event.x is not None and event.y is not None \
-                    and a.in_axes(event):
-                if event.key in all:
-                    a.set_navigate(True)
-                else:
-                    a.set_navigate(i == n)
+            try:
+                ax.set_xscale('log')
+            except ValueError as exc:
+                _log.warning(str(exc))
+                ax.set_xscale('linear')
+            ax.get_figure(root=True).canvas.draw_idle()
+
+
+def button_press_handler(event, canvas=None, toolbar=None):
+    """
+    The default Matplotlib button actions for extra mouse buttons.
+
+    Parameters are as for `key_press_handler`, except that *event* is a
+    `MouseEvent`.
+    """
+    if canvas is None:
+        canvas = event.canvas
+    if toolbar is None:
+        toolbar = canvas.toolbar
+    if toolbar is not None:
+        button_name = str(MouseButton(event.button))
+        if button_name in rcParams['keymap.back']:
+            toolbar.back()
+        elif button_name in rcParams['keymap.forward']:
+            toolbar.forward()
 
 
 class NonGuiException(Exception):
+    """Raised when trying show a figure in a non-GUI backend."""
     pass
 
 
-class FigureManagerBase(object):
+class FigureManagerBase:
     """
-    Helper class for pyplot mode, wraps everything up into a neat bundle
+    A backend-independent abstraction of a figure container and controller.
+
+    The figure manager is used by pyplot to interact with the window in a
+    backend-independent way. It's an adapter for the real (GUI) framework that
+    represents the visual figure on screen.
+
+    The figure manager is connected to a specific canvas instance, which in turn
+    is connected to a specific figure instance. To access a figure manager for
+    a given figure in user code, you typically use ``fig.canvas.manager``.
+
+    GUI backends derive from this class to translate common operations such
+    as *show* or *resize* to the GUI-specific code. Non-GUI backends do not
+    support these operations and can just use the base class.
+
+    This following basic operations are accessible:
+
+    **Window operations**
+
+    - `~.FigureManagerBase.show`
+    - `~.FigureManagerBase.destroy`
+    - `~.FigureManagerBase.full_screen_toggle`
+    - `~.FigureManagerBase.resize`
+    - `~.FigureManagerBase.get_window_title`
+    - `~.FigureManagerBase.set_window_title`
+
+    **Key and mouse button press handling**
+
+    The figure manager sets up default key and mouse button press handling by
+    hooking up the `.key_press_handler` to the matplotlib event system. This
+    ensures the same shortcuts and mouse actions across backends.
+
+    **Other operations**
 
-    Public attibutes:
+    Subclasses will have additional attributes and functions to access
+    additional functionality. This is of course backend-specific. For example,
+    most GUI backends have ``window`` and ``toolbar`` attributes that give
+    access to the native GUI widgets of the respective framework.
 
-    *canvas*
-        A :class:`FigureCanvasBase` instance
+    Attributes
+    ----------
+    canvas : `FigureCanvasBase`
+        The backend-specific canvas instance.
 
-    *num*
-        The figure number
+    num : int or str
+        The figure number.
+
+    key_press_handler_id : int
+        The default key handler cid, when using the toolmanager.
+        To disable the default key press handling use::
+
+            figure.canvas.mpl_disconnect(
+                figure.canvas.manager.key_press_handler_id)
+
+    button_press_handler_id : int
+        The default mouse button handler cid, when using the toolmanager.
+        To disable the default button press handling use::
+
+            figure.canvas.mpl_disconnect(
+                figure.canvas.manager.button_press_handler_id)
     """
+
+    _toolbar2_class = None
+    _toolmanager_toolbar_class = None
+
     def __init__(self, canvas, num):
         self.canvas = canvas
         canvas.manager = self  # store a pointer to parent
         self.num = num
+        self.set_window_title(f"Figure {num:d}")
+
+        self.key_press_handler_id = None
+        self.button_press_handler_id = None
+        if rcParams['toolbar'] != 'toolmanager':
+            self.key_press_handler_id = self.canvas.mpl_connect(
+                'key_press_event', key_press_handler)
+            self.button_press_handler_id = self.canvas.mpl_connect(
+                'button_press_event', button_press_handler)
+
+        self.toolmanager = (ToolManager(canvas.figure)
+                            if mpl.rcParams['toolbar'] == 'toolmanager'
+                            else None)
+        if (mpl.rcParams["toolbar"] == "toolbar2"
+                and self._toolbar2_class):
+            self.toolbar = self._toolbar2_class(self.canvas)
+        elif (mpl.rcParams["toolbar"] == "toolmanager"
+                and self._toolmanager_toolbar_class):
+            self.toolbar = self._toolmanager_toolbar_class(self.toolmanager)
+        else:
+            self.toolbar = None
+
+        if self.toolmanager:
+            tools.add_tools_to_manager(self.toolmanager)
+            if self.toolbar:
+                tools.add_tools_to_container(self.toolbar)
+
+        @self.canvas.figure.add_axobserver
+        def notify_axes_change(fig):
+            # Called whenever the current Axes is changed.
+            if self.toolmanager is None and self.toolbar is not None:
+                self.toolbar.update()
+
+    @classmethod
+    def create_with_canvas(cls, canvas_class, figure, num):
+        """
+        Create a manager for a given *figure* using a specific *canvas_class*.
+
+        Backends should override this method if they have specific needs for
+        setting up the canvas or the manager.
+        """
+        return cls(canvas_class(figure), num)
+
+    @classmethod
+    def start_main_loop(cls):
+        """
+        Start the main event loop.
 
-        self.key_press_handler_id = self.canvas.mpl_connect('key_press_event',
-                                                            self.key_press)
+        This method is called by `.FigureManagerBase.pyplot_show`, which is the
+        implementation of `.pyplot.show`.  To customize the behavior of
+        `.pyplot.show`, interactive backends should usually override
+        `~.FigureManagerBase.start_main_loop`; if more customized logic is
+        necessary, `~.FigureManagerBase.pyplot_show` can also be overridden.
         """
-        The returned id from connecting the default key handler via
-        :meth:`FigureCanvasBase.mpl_connnect`.
 
-        To disable default key press handling::
+    @classmethod
+    def pyplot_show(cls, *, block=None):
+        """
+        Show all figures.  This method is the implementation of `.pyplot.show`.
 
-            manager, canvas = figure.canvas.manager, figure.canvas
-            canvas.mpl_disconnect(manager.key_press_handler_id)
+        To customize the behavior of `.pyplot.show`, interactive backends
+        should usually override `~.FigureManagerBase.start_main_loop`; if more
+        customized logic is necessary, `~.FigureManagerBase.pyplot_show` can
+        also be overridden.
 
+        Parameters
+        ----------
+        block : bool, optional
+            Whether to block by calling ``start_main_loop``.  The default,
+            None, means to block if we are neither in IPython's ``%pylab`` mode
+            nor in ``interactive`` mode.
         """
+        managers = Gcf.get_all_fig_managers()
+        if not managers:
+            return
+        for manager in managers:
+            try:
+                manager.show()  # Emits a warning for non-interactive backend.
+            except NonGuiException as exc:
+                _api.warn_external(str(exc))
+        if block is None:
+            # Hack: Are we in IPython's %pylab mode?  In pylab mode, IPython
+            # (>= 0.10) tacks a _needmain attribute onto pyplot.show (always
+            # set to False).
+            pyplot_show = getattr(sys.modules.get("matplotlib.pyplot"), "show", None)
+            ipython_pylab = hasattr(pyplot_show, "_needmain")
+            block = not ipython_pylab and not is_interactive()
+        if block:
+            cls.start_main_loop()
 
     def show(self):
         """
         For GUI backends, show the figure window and redraw.
-        For non-GUI backends, raise an exception to be caught
-        by :meth:`~matplotlib.figure.Figure.show`, for an
-        optional warning.
-        """
-        raise NonGuiException()
+        For non-GUI backends, raise an exception, unless running headless (i.e.
+        on Linux with an unset DISPLAY); this exception is converted to a
+        warning in `.Figure.show`.
+        """
+        # This should be overridden in GUI backends.
+        if sys.platform == "linux" and not os.environ.get("DISPLAY"):
+            # We cannot check _get_running_interactive_framework() ==
+            # "headless" because that would also suppress the warning when
+            # $DISPLAY exists but is invalid, which is more likely an error and
+            # thus warrants a warning.
+            return
+        raise NonGuiException(
+            f"{type(self.canvas).__name__} is non-interactive, and thus cannot be "
+            f"shown")
 
     def destroy(self):
         pass
@@ -2581,83 +2727,73 @@ def full_screen_toggle(self):
         pass
 
     def resize(self, w, h):
-        """"For gui backends, resize the window (in pixels)."""
-        pass
-
-    def key_press(self, event):
-        """
-        Implement the default mpl key bindings defined at
-        :ref:`key-event-handling`
-        """
-        key_press_handler(event, self.canvas, self.canvas.toolbar)
-
-    def show_popup(self, msg):
-        """
-        Display message in a popup -- GUI only
-        """
-        pass
+        """For GUI backends, resize the window (in physical pixels)."""
 
     def get_window_title(self):
-        """
-        Get the title text of the window containing the figure.
-        Return None for non-GUI backends (e.g., a PS backend).
-        """
-        return 'image'
+        """Return the title text of the window containing the figure."""
+        return self._window_title
 
     def set_window_title(self, title):
         """
-        Set the title text of the window containing the figure.  Note that
-        this has no effect for non-GUI backends (e.g., a PS backend).
+        Set the title text of the window containing the figure.
+
+        Examples
+        --------
+        >>> fig = plt.figure()
+        >>> fig.canvas.manager.set_window_title('My figure')
         """
-        pass
+        # This attribute is not defined in __init__ (but __init__ calls this
+        # setter), as derived classes (real GUI managers) will store this
+        # information directly on the widget; only the base (non-GUI) manager
+        # class needs a specific attribute for it (so that filename escaping
+        # can be checked in the test suite).
+        self._window_title = title
 
 
-class Cursors(object):
-    # this class is only used as a simple namespace
-    HAND, POINTER, SELECT_REGION, MOVE = list(range(4))
-cursors = Cursors()
+cursors = tools.cursors
 
 
-class NavigationToolbar2(object):
-    """
-    Base class for the navigation cursor, version 2
+class _Mode(str, Enum):
+    NONE = ""
+    PAN = "pan/zoom"
+    ZOOM = "zoom rect"
 
-    backends must implement a canvas that handles connections for
-    'button_press_event' and 'button_release_event'.  See
-    :meth:`FigureCanvasBase.mpl_connect` for more information
+    def __str__(self):
+        return self.value
 
+    @property
+    def _navigate_mode(self):
+        return self.name if self is not _Mode.NONE else None
 
-    They must also define
 
-      :meth:`save_figure`
-         save the current figure
-
-      :meth:`set_cursor`
-         if you want the pointer icon to change
+class NavigationToolbar2:
+    """
+    Base class for the navigation cursor, version 2.
 
-      :meth:`_init_toolbar`
-         create your toolbar widget
+    Backends must implement a canvas that handles connections for
+    'button_press_event' and 'button_release_event'.  See
+    :meth:`FigureCanvasBase.mpl_connect` for more information.
 
-      :meth:`draw_rubberband` (optional)
-         draw the zoom to rect "rubberband" rectangle
+    They must also define
 
-      :meth:`press`  (optional)
-         whenever a mouse button is pressed, you'll be notified with
-         the event
+    :meth:`save_figure`
+        Save the current figure.
 
-      :meth:`release` (optional)
-         whenever a mouse button is released, you'll be notified with
-         the event
+    :meth:`draw_rubberband` (optional)
+        Draw the zoom to rect "rubberband" rectangle.
 
-      :meth:`dynamic_update` (optional)
-         dynamically update the window while navigating
+    :meth:`set_message` (optional)
+        Display message.
 
-      :meth:`set_message` (optional)
-         display message
+    :meth:`set_history_buttons` (optional)
+        You can change the history back / forward buttons to indicate disabled / enabled
+        state.
 
-      :meth:`set_history_buttons` (optional)
-         you can change the history back / forward buttons to
-         indicate disabled / enabled state.
+    and override ``__init__`` to set up the toolbar -- without forgetting to
+    call the base-class init.  Typically, ``__init__`` needs to set up toolbar
+    buttons connected to the `home`, `back`, `forward`, `pan`, `zoom`, and
+    `save_figure` methods and using standard icons in the "images" subdirectory
+    of the data path.
 
     That's it, we'll do the rest!
     """
@@ -2671,527 +2807,797 @@ class NavigationToolbar2(object):
     # )
     toolitems = (
         ('Home', 'Reset original view', 'home', 'home'),
-        ('Back', 'Back to  previous view', 'back', 'back'),
+        ('Back', 'Back to previous view', 'back', 'back'),
         ('Forward', 'Forward to next view', 'forward', 'forward'),
         (None, None, None, None),
-        ('Pan', 'Pan axes with left mouse, zoom with right', 'move', 'pan'),
-        ('Zoom', 'Zoom to rectangle', 'zoom_to_rect', 'zoom'),
-        (None, None, None, None),
+        ('Pan',
+         'Left button pans, Right button zooms\n'
+         'x/y fixes axis, CTRL fixes aspect',
+         'move', 'pan'),
+        ('Zoom', 'Zoom to rectangle\nx/y fixes axis', 'zoom_to_rect', 'zoom'),
         ('Subplots', 'Configure subplots', 'subplots', 'configure_subplots'),
+        (None, None, None, None),
         ('Save', 'Save the figure', 'filesave', 'save_figure'),
       )
 
+    UNKNOWN_SAVED_STATUS = object()
+
     def __init__(self, canvas):
         self.canvas = canvas
         canvas.toolbar = self
-        # a dict from axes index to a list of view limits
-        self._views = cbook.Stack()
-        self._positions = cbook.Stack()  # stack of subplot positions
-        self._xypress = None  # the location and axis info at the time
-                              # of the press
-        self._idPress = None
-        self._idRelease = None
-        self._active = None
-        self._lastCursor = None
-        self._init_toolbar()
-        self._idDrag = self.canvas.mpl_connect(
+        self._nav_stack = cbook._Stack()
+        # This cursor will be set after the initial draw.
+        self._last_cursor = tools.Cursors.POINTER
+
+        self._id_press = self.canvas.mpl_connect(
+            'button_press_event', self._zoom_pan_handler)
+        self._id_release = self.canvas.mpl_connect(
+            'button_release_event', self._zoom_pan_handler)
+        self._id_drag = self.canvas.mpl_connect(
             'motion_notify_event', self.mouse_move)
+        self._pan_info = None
+        self._zoom_info = None
 
-        self._ids_zoom = []
-        self._zoom_mode = None
-
-        self._button_pressed = None  # determined by the button pressed
-                                     # at start
-
-        self.mode = ''  # a mode string for the status bar
+        self.mode = _Mode.NONE  # a mode string for the status bar
         self.set_history_buttons()
 
     def set_message(self, s):
-        """Display a message on toolbar or in status bar"""
-        pass
-
-    def back(self, *args):
-        """move back up the view lim stack"""
-        self._views.back()
-        self._positions.back()
-        self.set_history_buttons()
-        self._update_view()
-
-    def dynamic_update(self):
-        pass
+        """Display a message on toolbar or in status bar."""
 
     def draw_rubberband(self, event, x0, y0, x1, y1):
-        """Draw a rectangle rubberband to indicate zoom limits"""
-        pass
+        """
+        Draw a rectangle rubberband to indicate zoom limits.
 
-    def forward(self, *args):
-        """Move forward in the view lim stack"""
-        self._views.forward()
-        self._positions.forward()
-        self.set_history_buttons()
-        self._update_view()
+        Note that it is not guaranteed that ``x0 <= x1`` and ``y0 <= y1``.
+        """
+
+    def remove_rubberband(self):
+        """Remove the rubberband."""
 
     def home(self, *args):
-        """Restore the original view"""
-        self._views.home()
-        self._positions.home()
+        """
+        Restore the original view.
+
+        For convenience of being directly connected as a GUI callback, which
+        often get passed additional parameters, this method accepts arbitrary
+        parameters, but does not use them.
+        """
+        self._nav_stack.home()
         self.set_history_buttons()
         self._update_view()
 
-    def _init_toolbar(self):
+    def back(self, *args):
         """
-        This is where you actually build the GUI widgets (called by
-        __init__).  The icons ``home.xpm``, ``back.xpm``, ``forward.xpm``,
-        ``hand.xpm``, ``zoom_to_rect.xpm`` and ``filesave.xpm`` are standard
-        across backends (there are ppm versions in CVS also).
-
-        You just need to set the callbacks
+        Move back up the view lim stack.
 
-        home         : self.home
-        back         : self.back
-        forward      : self.forward
-        hand         : self.pan
-        zoom_to_rect : self.zoom
-        filesave     : self.save_figure
+        For convenience of being directly connected as a GUI callback, which
+        often get passed additional parameters, this method accepts arbitrary
+        parameters, but does not use them.
+        """
+        self._nav_stack.back()
+        self.set_history_buttons()
+        self._update_view()
 
-        You only need to define the last one - the others are in the base
-        class implementation.
+    def forward(self, *args):
+        """
+        Move forward in the view lim stack.
 
+        For convenience of being directly connected as a GUI callback, which
+        often get passed additional parameters, this method accepts arbitrary
+        parameters, but does not use them.
         """
-        raise NotImplementedError
+        self._nav_stack.forward()
+        self.set_history_buttons()
+        self._update_view()
 
-    def _set_cursor(self, event):
-        if not event.inaxes or not self._active:
-            if self._lastCursor != cursors.POINTER:
-                self.set_cursor(cursors.POINTER)
-                self._lastCursor = cursors.POINTER
+    def _update_cursor(self, event):
+        """
+        Update the cursor after a mouse move event or a tool (de)activation.
+        """
+        if self.mode and event.inaxes and event.inaxes.get_navigate():
+            if (self.mode == _Mode.ZOOM
+                    and self._last_cursor != tools.Cursors.SELECT_REGION):
+                self.canvas.set_cursor(tools.Cursors.SELECT_REGION)
+                self._last_cursor = tools.Cursors.SELECT_REGION
+            elif (self.mode == _Mode.PAN
+                  and self._last_cursor != tools.Cursors.MOVE):
+                self.canvas.set_cursor(tools.Cursors.MOVE)
+                self._last_cursor = tools.Cursors.MOVE
+        elif self._last_cursor != tools.Cursors.POINTER:
+            self.canvas.set_cursor(tools.Cursors.POINTER)
+            self._last_cursor = tools.Cursors.POINTER
+
+    @contextmanager
+    def _wait_cursor_for_draw_cm(self):
+        """
+        Set the cursor to a wait cursor when drawing the canvas.
+
+        In order to avoid constantly changing the cursor when the canvas
+        changes frequently, do nothing if this context was triggered during the
+        last second.  (Optimally we'd prefer only setting the wait cursor if
+        the *current* draw takes too long, but the current draw blocks the GUI
+        thread).
+        """
+        self._draw_time, last_draw_time = (
+            time.time(), getattr(self, "_draw_time", -np.inf))
+        if self._draw_time - last_draw_time > 1:
+            try:
+                self.canvas.set_cursor(tools.Cursors.WAIT)
+                yield
+            finally:
+                self.canvas.set_cursor(self._last_cursor)
         else:
-            if self._active == 'ZOOM':
-                if self._lastCursor != cursors.SELECT_REGION:
-                    self.set_cursor(cursors.SELECT_REGION)
-                    self._lastCursor = cursors.SELECT_REGION
-            elif (self._active == 'PAN' and
-                  self._lastCursor != cursors.MOVE):
-                self.set_cursor(cursors.MOVE)
-
-                self._lastCursor = cursors.MOVE
-
-    def mouse_move(self, event):
-        self._set_cursor(event)
+            yield
 
+    @staticmethod
+    def _mouse_event_to_message(event):
         if event.inaxes and event.inaxes.get_navigate():
-
             try:
                 s = event.inaxes.format_coord(event.xdata, event.ydata)
             except (ValueError, OverflowError):
                 pass
             else:
-                if len(self.mode):
-                    self.set_message('%s, %s' % (self.mode, s))
-                else:
-                    self.set_message(s)
-        else:
-            self.set_message(self.mode)
+                s = s.rstrip()
+                artists = [a for a in event.inaxes._mouseover_set
+                           if a.contains(event)[0] and a.get_visible()]
+                if artists:
+                    a = cbook._topmost_artist(artists)
+                    if a is not event.inaxes.patch:
+                        data = a.get_cursor_data(event)
+                        if data is not None:
+                            data_str = a.format_cursor_data(data).rstrip()
+                            if data_str:
+                                s = s + '\n' + data_str
+                return s
+        return ""
+
+    def mouse_move(self, event):
+        self._update_cursor(event)
+        self.set_message(self._mouse_event_to_message(event))
+
+    def _zoom_pan_handler(self, event):
+        if self.mode == _Mode.PAN:
+            if event.name == "button_press_event":
+                self.press_pan(event)
+            elif event.name == "button_release_event":
+                self.release_pan(event)
+        if self.mode == _Mode.ZOOM:
+            if event.name == "button_press_event":
+                self.press_zoom(event)
+            elif event.name == "button_release_event":
+                self.release_zoom(event)
+
+    def _start_event_axes_interaction(self, event, *, method):
+
+        def _ax_filter(ax):
+            return (ax.in_axes(event) and
+                    ax.get_navigate() and
+                    getattr(ax, f"can_{method}")()
+                    )
+
+        def _capture_events(ax):
+            f = ax.get_forward_navigation_events()
+            if f == "auto":  # (capture = patch visibility)
+                f = not ax.patch.get_visible()
+            return not f
+
+        # get all relevant axes for the event
+        axes = list(filter(_ax_filter, self.canvas.figure.get_axes()))
+
+        if len(axes) == 0:
+            return []
+
+        if self._nav_stack() is None:
+            self.push_current()   # Set the home button to this view.
+
+        # group axes by zorder (reverse to trigger later axes first)
+        grps = dict()
+        for ax in reversed(axes):
+            grps.setdefault(ax.get_zorder(), []).append(ax)
+
+        axes_to_trigger = []
+        # go through zorders in reverse until we hit a capturing axes
+        for zorder in sorted(grps, reverse=True):
+            for ax in grps[zorder]:
+                axes_to_trigger.append(ax)
+                # NOTE: shared axes are automatically triggered, but twin-axes not!
+                axes_to_trigger.extend(ax._twinned_axes.get_siblings(ax))
+
+                if _capture_events(ax):
+                    break  # break if we hit a capturing axes
+            else:
+                # If the inner loop finished without an explicit break,
+                # (e.g. no capturing axes was found) continue the
+                # outer loop to the next zorder.
+                continue
+
+            # If the inner loop was terminated with an explicit break,
+            # terminate the outer loop as well.
+            break
+
+        # avoid duplicated triggers (but keep order of list)
+        axes_to_trigger = list(dict.fromkeys(axes_to_trigger))
+
+        return axes_to_trigger
 
     def pan(self, *args):
-        """Activate the pan/zoom tool. pan with left button, zoom with right"""
-        # set the pointer icon and button press funcs to the
-        # appropriate callbacks
+        """
+        Toggle the pan/zoom tool.
 
-        if self._active == 'PAN':
-            self._active = None
+        Pan with left button, zoom with right.
+        """
+        if not self.canvas.widgetlock.available(self):
+            self.set_message("pan unavailable")
+            return
+        if self.mode == _Mode.PAN:
+            self.mode = _Mode.NONE
+            self.canvas.widgetlock.release(self)
         else:
-            self._active = 'PAN'
-        if self._idPress is not None:
-            self._idPress = self.canvas.mpl_disconnect(self._idPress)
-            self.mode = ''
-
-        if self._idRelease is not None:
-            self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
-            self.mode = ''
-
-        if self._active:
-            self._idPress = self.canvas.mpl_connect(
-                'button_press_event', self.press_pan)
-            self._idRelease = self.canvas.mpl_connect(
-                'button_release_event', self.release_pan)
-            self.mode = 'pan/zoom'
+            self.mode = _Mode.PAN
             self.canvas.widgetlock(self)
-        else:
-            self.canvas.widgetlock.release(self)
-
         for a in self.canvas.figure.get_axes():
-            a.set_navigate_mode(self._active)
-
-        self.set_message(self.mode)
+            a.set_navigate_mode(self.mode._navigate_mode)
 
-    def press(self, event):
-        """Called whenver a mouse button is pressed."""
-        pass
+    _PanInfo = namedtuple("_PanInfo", "button axes cid")
 
     def press_pan(self, event):
-        """the press mouse button in pan/zoom mode callback"""
+        """Callback for mouse button press in pan/zoom mode."""
+        if (event.button not in [MouseButton.LEFT, MouseButton.RIGHT]
+                or event.x is None or event.y is None):
+            return
 
-        if event.button == 1:
-            self._button_pressed = 1
-        elif event.button == 3:
-            self._button_pressed = 3
-        else:
-            self._button_pressed = None
+        axes = self._start_event_axes_interaction(event, method="pan")
+        if not axes:
             return
 
-        x, y = event.x, event.y
+        # call "ax.start_pan(..)" on all relevant axes of an event
+        for ax in axes:
+            ax.start_pan(event.x, event.y, event.button)
 
-        # push the current view to define home if stack is empty
-        if self._views.empty():
-            self.push_current()
+        self.canvas.mpl_disconnect(self._id_drag)
+        id_drag = self.canvas.mpl_connect("motion_notify_event", self.drag_pan)
 
-        self._xypress = []
-        for i, a in enumerate(self.canvas.figure.get_axes()):
-            if (x is not None and y is not None and a.in_axes(event) and
-                    a.get_navigate() and a.can_pan()):
-                a.start_pan(x, y, event.button)
-                self._xypress.append((a, i))
-                self.canvas.mpl_disconnect(self._idDrag)
-                self._idDrag = self.canvas.mpl_connect('motion_notify_event',
-                                                       self.drag_pan)
+        self._pan_info = self._PanInfo(
+            button=event.button, axes=axes, cid=id_drag)
 
-        self.press(event)
+    def drag_pan(self, event):
+        """Callback for dragging in pan/zoom mode."""
+        if event.buttons != {self._pan_info.button}:
+            # Zoom ended while canvas not in focus (it did not receive a
+            # button_release_event); cancel it.
+            self.release_pan(None)  # release_pan doesn't actually use event.
+            return
+        for ax in self._pan_info.axes:
+            # Using the recorded button at the press is safer than the current
+            # button, as multiple buttons can get pressed during motion.
+            ax.drag_pan(self._pan_info.button, event.key, event.x, event.y)
+        self.canvas.draw_idle()
 
-    def press_zoom(self, event):
-        """the press mouse button in zoom to rect mode callback"""
-        # If we're already in the middle of a zoom, pressing another
-        # button works to "cancel"
-        if self._ids_zoom != []:
-            for zoom_id in self._ids_zoom:
-                self.canvas.mpl_disconnect(zoom_id)
-            self.release(event)
-            self.draw()
-            self._xypress = None
-            self._button_pressed = None
-            self._ids_zoom = []
+    def release_pan(self, event):
+        """Callback for mouse button release in pan/zoom mode."""
+        if self._pan_info is None:
             return
+        self.canvas.mpl_disconnect(self._pan_info.cid)
+        self._id_drag = self.canvas.mpl_connect(
+            'motion_notify_event', self.mouse_move)
+        for ax in self._pan_info.axes:
+            ax.end_pan()
+        self.canvas.draw_idle()
+        self._pan_info = None
+        self.push_current()
 
-        if event.button == 1:
-            self._button_pressed = 1
-        elif event.button == 3:
-            self._button_pressed = 3
+    def zoom(self, *args):
+        if not self.canvas.widgetlock.available(self):
+            self.set_message("zoom unavailable")
+            return
+        """Toggle zoom to rect mode."""
+        if self.mode == _Mode.ZOOM:
+            self.mode = _Mode.NONE
+            self.canvas.widgetlock.release(self)
         else:
-            self._button_pressed = None
+            self.mode = _Mode.ZOOM
+            self.canvas.widgetlock(self)
+        for a in self.canvas.figure.get_axes():
+            a.set_navigate_mode(self.mode._navigate_mode)
+
+    _ZoomInfo = namedtuple("_ZoomInfo", "button start_xy axes cid cbar")
+
+    def press_zoom(self, event):
+        """Callback for mouse button press in zoom to rect mode."""
+        if (event.button not in [MouseButton.LEFT, MouseButton.RIGHT]
+                or event.x is None or event.y is None):
             return
 
-        x, y = event.x, event.y
+        axes = self._start_event_axes_interaction(event, method="zoom")
+        if not axes:
+            return
+
+        id_zoom = self.canvas.mpl_connect(
+            "motion_notify_event", self.drag_zoom)
 
-        # push the current view to define home if stack is empty
-        if self._views.empty():
-            self.push_current()
+        # A colorbar is one-dimensional, so we extend the zoom rectangle out
+        # to the edge of the Axes bbox in the other dimension. To do that we
+        # store the orientation of the colorbar for later.
+        parent_ax = axes[0]
+        if hasattr(parent_ax, "_colorbar"):
+            cbar = parent_ax._colorbar.orientation
+        else:
+            cbar = None
 
-        self._xypress = []
-        for i, a in enumerate(self.canvas.figure.get_axes()):
-            if (x is not None and y is not None and a.in_axes(event) and
-                    a.get_navigate() and a.can_zoom()):
-                self._xypress.append((x, y, a, i, a.viewLim.frozen(),
-                                      a.transData.frozen()))
+        self._zoom_info = self._ZoomInfo(
+            button=event.button, start_xy=(event.x, event.y), axes=axes,
+            cid=id_zoom, cbar=cbar)
 
-        id1 = self.canvas.mpl_connect('motion_notify_event', self.drag_zoom)
-        id2 = self.canvas.mpl_connect('key_press_event',
-                                      self._switch_on_zoom_mode)
-        id3 = self.canvas.mpl_connect('key_release_event',
-                                      self._switch_off_zoom_mode)
+    def drag_zoom(self, event):
+        """Callback for dragging in zoom mode."""
+        if event.buttons != {self._zoom_info.button}:
+            # Zoom ended while canvas not in focus (it did not receive a
+            # button_release_event); cancel it.
+            self._cleanup_post_zoom()
+            return
 
-        self._ids_zoom = id1, id2, id3
-        self._zoom_mode = event.key
+        start_xy = self._zoom_info.start_xy
+        ax = self._zoom_info.axes[0]
+        (x1, y1), (x2, y2) = np.clip(
+            [start_xy, [event.x, event.y]], ax.bbox.min, ax.bbox.max)
+        key = event.key
+        # Force the key on colorbars to extend the short-axis bbox
+        if self._zoom_info.cbar == "horizontal":
+            key = "x"
+        elif self._zoom_info.cbar == "vertical":
+            key = "y"
+        if key == "x":
+            y1, y2 = ax.bbox.intervaly
+        elif key == "y":
+            x1, x2 = ax.bbox.intervalx
+
+        self.draw_rubberband(event, x1, y1, x2, y2)
 
-        self.press(event)
+    def release_zoom(self, event):
+        """Callback for mouse button release in zoom to rect mode."""
+        if self._zoom_info is None:
+            return
+
+        # We don't check the event button here, so that zooms can be cancelled
+        # by (pressing and) releasing another mouse button.
+        self.canvas.mpl_disconnect(self._zoom_info.cid)
+        self.remove_rubberband()
+
+        start_x, start_y = self._zoom_info.start_xy
+        direction = "in" if self._zoom_info.button == 1 else "out"
+        key = event.key
+        # Force the key on colorbars to ignore the zoom-cancel on the
+        # short-axis side
+        if self._zoom_info.cbar == "horizontal":
+            key = "x"
+        elif self._zoom_info.cbar == "vertical":
+            key = "y"
+        # Ignore single clicks: 5 pixels is a threshold that allows the user to
+        # "cancel" a zoom action by zooming by less than 5 pixels.
+        if ((abs(event.x - start_x) < 5 and key != "y") or
+                (abs(event.y - start_y) < 5 and key != "x")):
+            self._cleanup_post_zoom()
+            return
 
-    def _switch_on_zoom_mode(self, event):
-        self._zoom_mode = event.key
-        self.mouse_move(event)
+        for i, ax in enumerate(self._zoom_info.axes):
+            # Detect whether this Axes is twinned with an earlier Axes in the
+            # list of zoomed Axes, to avoid double zooming.
+            twinx = any(ax.get_shared_x_axes().joined(ax, prev)
+                        for prev in self._zoom_info.axes[:i])
+            twiny = any(ax.get_shared_y_axes().joined(ax, prev)
+                        for prev in self._zoom_info.axes[:i])
+            ax._set_view_from_bbox(
+                (start_x, start_y, event.x, event.y),
+                direction, key, twinx, twiny)
+
+        self._cleanup_post_zoom()
+        self.push_current()
 
-    def _switch_off_zoom_mode(self, event):
-        self._zoom_mode = None
-        self.mouse_move(event)
+    def _cleanup_post_zoom(self):
+        # We don't check the event button here, so that zooms can be cancelled
+        # by (pressing and) releasing another mouse button.
+        self.canvas.mpl_disconnect(self._zoom_info.cid)
+        self.remove_rubberband()
+        self.canvas.draw_idle()
+        self._zoom_info = None
 
     def push_current(self):
-        """push the current view limits and position onto the stack"""
-        lims = []
-        pos = []
-        for a in self.canvas.figure.get_axes():
-            xmin, xmax = a.get_xlim()
-            ymin, ymax = a.get_ylim()
-            lims.append((xmin, xmax, ymin, ymax))
-            # Store both the original and modified positions
-            pos.append((
-                a.get_position(True).frozen(),
-                a.get_position().frozen()))
-        self._views.push(lims)
-        self._positions.push(pos)
+        """Push the current view limits and position onto the stack."""
+        self._nav_stack.push(
+            WeakKeyDictionary(
+                {ax: (ax._get_view(),
+                      # Store both the original and modified positions.
+                      (ax.get_position(True).frozen(),
+                       ax.get_position().frozen()))
+                 for ax in self.canvas.figure.axes}))
         self.set_history_buttons()
 
-    def release(self, event):
-        """this will be called whenever mouse button is released"""
-        pass
+    def _update_view(self):
+        """
+        Update the viewlim and position from the view and position stack for
+        each Axes.
+        """
+        nav_info = self._nav_stack()
+        if nav_info is None:
+            return
+        # Retrieve all items at once to avoid any risk of GC deleting an Axes
+        # while in the middle of the loop below.
+        items = list(nav_info.items())
+        for ax, (view, (pos_orig, pos_active)) in items:
+            ax._set_view(view)
+            # Restore both the original and modified positions
+            ax._set_position(pos_orig, 'original')
+            ax._set_position(pos_active, 'active')
+        self.canvas.draw_idle()
 
-    def release_pan(self, event):
-        """the release mouse button callback in pan/zoom mode"""
+    def configure_subplots(self, *args):
+        if hasattr(self, "subplot_tool"):
+            self.subplot_tool.figure.canvas.manager.show()
+            return self.subplot_tool
+        # This import needs to happen here due to circular imports.
+        from matplotlib.figure import Figure
+        with mpl.rc_context({"toolbar": "none"}):  # No navbar for the toolfig.
+            manager = type(self.canvas).new_manager(Figure(figsize=(6, 3)), -1)
+        manager.set_window_title("Subplot configuration tool")
+        tool_fig = manager.canvas.figure
+        tool_fig.subplots_adjust(top=0.9)
+        self.subplot_tool = widgets.SubplotTool(self.canvas.figure, tool_fig)
+        cid = self.canvas.mpl_connect(
+            "close_event", lambda e: manager.destroy())
+
+        def on_tool_fig_close(e):
+            self.canvas.mpl_disconnect(cid)
+            del self.subplot_tool
+
+        tool_fig.canvas.mpl_connect("close_event", on_tool_fig_close)
+        manager.show()
+        return self.subplot_tool
 
-        if self._button_pressed is None:
-            return
-        self.canvas.mpl_disconnect(self._idDrag)
-        self._idDrag = self.canvas.mpl_connect(
-            'motion_notify_event', self.mouse_move)
-        for a, ind in self._xypress:
-            a.end_pan()
-        if not self._xypress:
-            return
-        self._xypress = []
-        self._button_pressed = None
-        self.push_current()
-        self.release(event)
-        self.draw()
+    def save_figure(self, *args):
+        """
+        Save the current figure.
 
-    def drag_pan(self, event):
-        """the drag callback in pan/zoom mode"""
+        Backend implementations may choose to return
+        the absolute path of the saved file, if any, as
+        a string.
 
-        for a, ind in self._xypress:
-            #safer to use the recorded button at the press than current button:
-            #multiple button can get pressed during motion...
-            a.drag_pan(self._button_pressed, event.key, event.x, event.y)
-        self.dynamic_update()
+        If no file is created then `None` is returned.
 
-    def drag_zoom(self, event):
-        """the drag callback in zoom mode"""
+        If the backend does not implement this functionality
+        then `NavigationToolbar2.UNKNOWN_SAVED_STATUS` is returned.
 
-        if self._xypress:
-            x, y = event.x, event.y
-            lastx, lasty, a, ind, lim, trans = self._xypress[0]
+        Returns
+        -------
+        str or `NavigationToolbar2.UNKNOWN_SAVED_STATUS` or `None`
+            The filepath of the saved figure.
+            Returns `None` if figure is not saved.
+            Returns `NavigationToolbar2.UNKNOWN_SAVED_STATUS` when
+            the backend does not provide the information.
+        """
+        raise NotImplementedError
 
-            # adjust x, last, y, last
-            x1, y1, x2, y2 = a.bbox.extents
-            x, lastx = max(min(x, lastx), x1), min(max(x, lastx), x2)
-            y, lasty = max(min(y, lasty), y1), min(max(y, lasty), y2)
+    def update(self):
+        """Reset the Axes stack."""
+        self._nav_stack.clear()
+        self.set_history_buttons()
 
-            if self._zoom_mode == "x":
-                x1, y1, x2, y2 = a.bbox.extents
-                y, lasty = y1, y2
-            elif self._zoom_mode == "y":
-                x1, y1, x2, y2 = a.bbox.extents
-                x, lastx = x1, x2
+    def set_history_buttons(self):
+        """Enable or disable the back/forward button."""
 
-            self.draw_rubberband(event, x, y, lastx, lasty)
 
-    def release_zoom(self, event):
-        """the release mouse button callback in zoom to rect mode"""
-        for zoom_id in self._ids_zoom:
-            self.canvas.mpl_disconnect(zoom_id)
-        self._ids_zoom = []
+class ToolContainerBase:
+    """
+    Base class for all tool containers, e.g. toolbars.
 
-        if not self._xypress:
-            return
+    Attributes
+    ----------
+    toolmanager : `.ToolManager`
+        The tools with which this `ToolContainerBase` wants to communicate.
+    """
 
-        last_a = []
-
-        for cur_xypress in self._xypress:
-            x, y = event.x, event.y
-            lastx, lasty, a, ind, lim, trans = cur_xypress
-            # ignore singular clicks - 5 pixels is a threshold
-            if abs(x - lastx) < 5 or abs(y - lasty) < 5:
-                self._xypress = None
-                self.release(event)
-                self.draw()
-                return
-
-            x0, y0, x1, y1 = lim.extents
-
-            # zoom to rect
-            inverse = a.transData.inverted()
-            lastx, lasty = inverse.transform_point((lastx, lasty))
-            x, y = inverse.transform_point((x, y))
-            Xmin, Xmax = a.get_xlim()
-            Ymin, Ymax = a.get_ylim()
-
-            # detect twinx,y axes and avoid double zooming
-            twinx, twiny = False, False
-            if last_a:
-                for la in last_a:
-                    if a.get_shared_x_axes().joined(a, la):
-                        twinx = True
-                    if a.get_shared_y_axes().joined(a, la):
-                        twiny = True
-            last_a.append(a)
-
-            if twinx:
-                x0, x1 = Xmin, Xmax
-            else:
-                if Xmin < Xmax:
-                    if x < lastx:
-                        x0, x1 = x, lastx
-                    else:
-                        x0, x1 = lastx, x
-                    if x0 < Xmin:
-                        x0 = Xmin
-                    if x1 > Xmax:
-                        x1 = Xmax
-                else:
-                    if x > lastx:
-                        x0, x1 = x, lastx
-                    else:
-                        x0, x1 = lastx, x
-                    if x0 > Xmin:
-                        x0 = Xmin
-                    if x1 < Xmax:
-                        x1 = Xmax
-
-            if twiny:
-                y0, y1 = Ymin, Ymax
+    _icon_extension = '.png'
+    """
+    Toolcontainer button icon image format extension
+
+    **String**: Image extension
+    """
+
+    def __init__(self, toolmanager):
+        self.toolmanager = toolmanager
+        toolmanager.toolmanager_connect(
+            'tool_message_event',
+            lambda event: self.set_message(event.message))
+        toolmanager.toolmanager_connect(
+            'tool_removed_event',
+            lambda event: self.remove_toolitem(event.tool.name))
+
+    def _tool_toggled_cbk(self, event):
+        """
+        Capture the 'tool_trigger_[name]'
+
+        This only gets used for toggled tools.
+        """
+        self.toggle_toolitem(event.tool.name, event.tool.toggled)
+
+    def add_tool(self, tool, group, position=-1):
+        """
+        Add a tool to this container.
+
+        Parameters
+        ----------
+        tool : tool_like
+            The tool to add, see `.ToolManager.get_tool`.
+        group : str
+            The name of the group to add this tool to.
+        position : int, default: -1
+            The position within the group to place this tool.
+        """
+        tool = self.toolmanager.get_tool(tool)
+        image = self._get_image_filename(tool)
+        toggle = getattr(tool, 'toggled', None) is not None
+        self.add_toolitem(tool.name, group, position,
+                          image, tool.description, toggle)
+        if toggle:
+            self.toolmanager.toolmanager_connect('tool_trigger_%s' % tool.name,
+                                                 self._tool_toggled_cbk)
+            # If initially toggled
+            if tool.toggled:
+                self.toggle_toolitem(tool.name, True)
+
+    def _get_image_filename(self, tool):
+        """Resolve a tool icon's filename."""
+        if not tool.image:
+            return None
+        if os.path.isabs(tool.image):
+            filename = tool.image
+        else:
+            if "image" in getattr(tool, "__dict__", {}):
+                raise ValueError("If 'tool.image' is an instance variable, "
+                                 "it must be an absolute path")
+            for cls in type(tool).__mro__:
+                if "image" in vars(cls):
+                    try:
+                        src = inspect.getfile(cls)
+                        break
+                    except (OSError, TypeError):
+                        raise ValueError("Failed to locate source file "
+                                         "where 'tool.image' is defined") from None
             else:
-                if Ymin < Ymax:
-                    if y < lasty:
-                        y0, y1 = y, lasty
-                    else:
-                        y0, y1 = lasty, y
-                    if y0 < Ymin:
-                        y0 = Ymin
-                    if y1 > Ymax:
-                        y1 = Ymax
-                else:
-                    if y > lasty:
-                        y0, y1 = y, lasty
-                    else:
-                        y0, y1 = lasty, y
-                    if y0 > Ymin:
-                        y0 = Ymin
-                    if y1 < Ymax:
-                        y1 = Ymax
-
-            if self._button_pressed == 1:
-                if self._zoom_mode == "x":
-                    a.set_xlim((x0, x1))
-                elif self._zoom_mode == "y":
-                    a.set_ylim((y0, y1))
-                else:
-                    a.set_xlim((x0, x1))
-                    a.set_ylim((y0, y1))
-            elif self._button_pressed == 3:
-                if a.get_xscale() == 'log':
-                    alpha = np.log(Xmax / Xmin) / np.log(x1 / x0)
-                    rx1 = pow(Xmin / x0, alpha) * Xmin
-                    rx2 = pow(Xmax / x0, alpha) * Xmin
-                else:
-                    alpha = (Xmax - Xmin) / (x1 - x0)
-                    rx1 = alpha * (Xmin - x0) + Xmin
-                    rx2 = alpha * (Xmax - x0) + Xmin
-                if a.get_yscale() == 'log':
-                    alpha = np.log(Ymax / Ymin) / np.log(y1 / y0)
-                    ry1 = pow(Ymin / y0, alpha) * Ymin
-                    ry2 = pow(Ymax / y0, alpha) * Ymin
-                else:
-                    alpha = (Ymax - Ymin) / (y1 - y0)
-                    ry1 = alpha * (Ymin - y0) + Ymin
-                    ry2 = alpha * (Ymax - y0) + Ymin
-
-                if self._zoom_mode == "x":
-                    a.set_xlim((rx1, rx2))
-                elif self._zoom_mode == "y":
-                    a.set_ylim((ry1, ry2))
-                else:
-                    a.set_xlim((rx1, rx2))
-                    a.set_ylim((ry1, ry2))
+                raise ValueError("Failed to find parent class defining 'tool.image'")
+            filename = str(pathlib.Path(src).parent / tool.image)
+        for filename in [filename, filename + self._icon_extension]:
+            if os.path.isfile(filename):
+                return os.path.abspath(filename)
+        for fname in [  # Fallback; once deprecation elapses.
+            tool.image,
+            tool.image + self._icon_extension,
+            cbook._get_data_path("images", tool.image),
+            cbook._get_data_path("images", tool.image + self._icon_extension),
+        ]:
+            if os.path.isfile(fname):
+                _api.warn_deprecated(
+                    "3.9", message=f"Loading icon {tool.image!r} from the current "
+                    "directory or from Matplotlib's image directory.  This behavior "
+                    "is deprecated since %(since)s and will be removed in %(removal)s; "
+                    "Tool.image should be set to a path relative to the Tool's source "
+                    "file, or to an absolute path.")
+                return os.path.abspath(fname)
+
+    def trigger_tool(self, name):
+        """
+        Trigger the tool.
+
+        Parameters
+        ----------
+        name : str
+            Name (id) of the tool triggered from within the container.
+        """
+        self.toolmanager.trigger_tool(name, sender=self)
 
-        self.draw()
-        self._xypress = None
-        self._button_pressed = None
+    def add_toolitem(self, name, group, position, image, description, toggle):
+        """
+        A hook to add a toolitem to the container.
 
-        self._zoom_mode = None
+        This hook must be implemented in each backend and contains the
+        backend-specific code to add an element to the toolbar.
 
-        self.push_current()
-        self.release(event)
+        .. warning::
+            This is part of the backend implementation and should
+            not be called by end-users.  They should instead call
+            `.ToolContainerBase.add_tool`.
 
-    def draw(self):
-        """Redraw the canvases, update the locators"""
-        for a in self.canvas.figure.get_axes():
-            xaxis = getattr(a, 'xaxis', None)
-            yaxis = getattr(a, 'yaxis', None)
-            locators = []
-            if xaxis is not None:
-                locators.append(xaxis.get_major_locator())
-                locators.append(xaxis.get_minor_locator())
-            if yaxis is not None:
-                locators.append(yaxis.get_major_locator())
-                locators.append(yaxis.get_minor_locator())
-
-            for loc in locators:
-                loc.refresh()
-        self.canvas.draw_idle()
+        The callback associated with the button click event
+        must be *exactly* ``self.trigger_tool(name)``.
 
-    def _update_view(self):
-        """Update the viewlim and position from the view and
-        position stack for each axes
+        Parameters
+        ----------
+        name : str
+            Name of the tool to add, this gets used as the tool's ID and as the
+            default label of the buttons.
+        group : str
+            Name of the group that this tool belongs to.
+        position : int
+            Position of the tool within its group, if -1 it goes at the end.
+        image : str
+            Filename of the image for the button or `None`.
+        description : str
+            Description of the tool, used for the tooltips.
+        toggle : bool
+            * `True` : The button is a toggle (change the pressed/unpressed
+              state between consecutive clicks).
+            * `False` : The button is a normal button (returns to unpressed
+              state after release).
         """
+        raise NotImplementedError
 
-        lims = self._views()
-        if lims is None:
-            return
-        pos = self._positions()
-        if pos is None:
-            return
-        for i, a in enumerate(self.canvas.figure.get_axes()):
-            xmin, xmax, ymin, ymax = lims[i]
-            a.set_xlim((xmin, xmax))
-            a.set_ylim((ymin, ymax))
-            # Restore both the original and modified positions
-            a.set_position(pos[i][0], 'original')
-            a.set_position(pos[i][1], 'active')
+    def toggle_toolitem(self, name, toggled):
+        """
+        A hook to toggle a toolitem without firing an event.
 
-        self.canvas.draw_idle()
+        This hook must be implemented in each backend and contains the
+        backend-specific code to silently toggle a toolbar element.
 
-    def save_figure(self, *args):
-        """Save the current figure"""
+        .. warning::
+            This is part of the backend implementation and should
+            not be called by end-users.  They should instead call
+            `.ToolManager.trigger_tool` or `.ToolContainerBase.trigger_tool`
+            (which are equivalent).
+
+        Parameters
+        ----------
+        name : str
+            Id of the tool to toggle.
+        toggled : bool
+            Whether to set this tool as toggled or not.
+        """
         raise NotImplementedError
 
-    def set_cursor(self, cursor):
+    def remove_toolitem(self, name):
         """
-        Set the current cursor to one of the :class:`Cursors`
-        enums values
+        A hook to remove a toolitem from the container.
+
+        This hook must be implemented in each backend and contains the
+        backend-specific code to remove an element from the toolbar; it is
+        called when `.ToolManager` emits a ``tool_removed_event``.
+
+        Because some tools are present only on the `.ToolManager` but not on
+        the `ToolContainerBase`, this method must be a no-op when called on a tool
+        absent from the container.
+
+        .. warning::
+            This is part of the backend implementation and should
+            not be called by end-users.  They should instead call
+            `.ToolManager.remove_tool`.
+
+        Parameters
+        ----------
+        name : str
+            Name of the tool to remove.
         """
-        pass
+        raise NotImplementedError
 
-    def update(self):
-        """Reset the axes stack"""
-        self._views.clear()
-        self._positions.clear()
-        self.set_history_buttons()
+    def set_message(self, s):
+        """
+        Display a message on the toolbar.
 
-    def zoom(self, *args):
-        """Activate zoom to rect mode"""
-        if self._active == 'ZOOM':
-            self._active = None
-        else:
-            self._active = 'ZOOM'
-
-        if self._idPress is not None:
-            self._idPress = self.canvas.mpl_disconnect(self._idPress)
-            self.mode = ''
-
-        if self._idRelease is not None:
-            self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
-            self.mode = ''
-
-        if self._active:
-            self._idPress = self.canvas.mpl_connect('button_press_event',
-                                                    self.press_zoom)
-            self._idRelease = self.canvas.mpl_connect('button_release_event',
-                                                      self.release_zoom)
-            self.mode = 'zoom rect'
-            self.canvas.widgetlock(self)
-        else:
-            self.canvas.widgetlock.release(self)
+        Parameters
+        ----------
+        s : str
+            Message text.
+        """
+        raise NotImplementedError
 
-        for a in self.canvas.figure.get_axes():
-            a.set_navigate_mode(self._active)
 
-        self.set_message(self.mode)
+class _Backend:
+    # A backend can be defined by using the following pattern:
+    #
+    # @_Backend.export
+    # class FooBackend(_Backend):
+    #     # override the attributes and methods documented below.
 
-    def set_history_buttons(self):
-        """Enable or disable back/forward button"""
-        pass
+    # `backend_version` may be overridden by the subclass.
+    backend_version = "unknown"
+
+    # The `FigureCanvas` class must be defined.
+    FigureCanvas = None
+
+    # For interactive backends, the `FigureManager` class must be overridden.
+    FigureManager = FigureManagerBase
+
+    # For interactive backends, `mainloop` should be a function taking no
+    # argument and starting the backend main loop.  It should be left as None
+    # for non-interactive backends.
+    mainloop = None
+
+    # The following methods will be automatically defined and exported, but
+    # can be overridden.
+
+    @classmethod
+    def new_figure_manager(cls, num, *args, **kwargs):
+        """Create a new figure manager instance."""
+        # This import needs to happen here due to circular imports.
+        from matplotlib.figure import Figure
+        fig_cls = kwargs.pop('FigureClass', Figure)
+        fig = fig_cls(*args, **kwargs)
+        return cls.new_figure_manager_given_figure(num, fig)
+
+    @classmethod
+    def new_figure_manager_given_figure(cls, num, figure):
+        """Create a new figure manager instance for the given figure."""
+        return cls.FigureCanvas.new_manager(figure, num)
+
+    @classmethod
+    def draw_if_interactive(cls):
+        manager_class = cls.FigureCanvas.manager_class
+        # Interactive backends reimplement start_main_loop or pyplot_show.
+        backend_is_interactive = (
+            manager_class.start_main_loop != FigureManagerBase.start_main_loop
+            or manager_class.pyplot_show != FigureManagerBase.pyplot_show)
+        if backend_is_interactive and is_interactive():
+            manager = Gcf.get_active()
+            if manager:
+                manager.canvas.draw_idle()
+
+    @classmethod
+    def show(cls, *, block=None):
+        """
+        Show all figures.
+
+        `show` blocks by calling `mainloop` if *block* is ``True``, or if it is
+        ``None`` and we are not in `interactive` mode and if IPython's
+        ``%matplotlib`` integration has not been activated.
+        """
+        managers = Gcf.get_all_fig_managers()
+        if not managers:
+            return
+        for manager in managers:
+            try:
+                manager.show()  # Emits a warning for non-interactive backend.
+            except NonGuiException as exc:
+                _api.warn_external(str(exc))
+        if cls.mainloop is None:
+            return
+        if block is None:
+            # Hack: Is IPython's %matplotlib integration activated?  If so,
+            # IPython's activate_matplotlib (>= 0.10) tacks a _needmain
+            # attribute onto pyplot.show (always set to False).
+            pyplot_show = getattr(sys.modules.get("matplotlib.pyplot"), "show", None)
+            ipython_pylab = hasattr(pyplot_show, "_needmain")
+            block = not ipython_pylab and not is_interactive()
+        if block:
+            cls.mainloop()
+
+    # This method is the one actually exporting the required methods.
+
+    @staticmethod
+    def export(cls):
+        for name in [
+                "backend_version",
+                "FigureCanvas",
+                "FigureManager",
+                "new_figure_manager",
+                "new_figure_manager_given_figure",
+                "draw_if_interactive",
+                "show",
+        ]:
+            setattr(sys.modules[cls.__module__], name, getattr(cls, name))
+
+        # For back-compatibility, generate a shim `Show` class.
+
+        class Show(ShowBase):
+            def mainloop(self):
+                return cls.mainloop()
+
+        setattr(sys.modules[cls.__module__], "Show", Show)
+        return cls
+
+
+class ShowBase(_Backend):
+    """
+    Simple base class to generate a ``show()`` function in backends.
+
+    Subclass must override ``mainloop()`` method.
+    """
+
+    def __call__(self, block=None):
+        return self.show(block=block)
diff --git a/lib/matplotlib/backend_bases.pyi b/lib/matplotlib/backend_bases.pyi
new file mode 100644
index 000000000000..24669bfb3aeb
--- /dev/null
+++ b/lib/matplotlib/backend_bases.pyi
@@ -0,0 +1,518 @@
+from enum import Enum, IntEnum
+import os
+from matplotlib import (
+    cbook,
+    transforms,
+    widgets,
+    _api,
+)
+from matplotlib.artist import Artist
+from matplotlib.axes import Axes
+from matplotlib.backend_managers import ToolManager
+from matplotlib.backend_tools import Cursors, ToolBase
+from matplotlib.colorbar import Colorbar
+from matplotlib.figure import Figure
+from matplotlib.font_manager import FontProperties
+from matplotlib.path import Path
+from matplotlib.texmanager import TexManager
+from matplotlib.text import Text
+from matplotlib.transforms import Bbox, BboxBase, Transform, TransformedPath
+
+from collections.abc import Callable, Iterable, Sequence
+from typing import Any, IO, Literal, NamedTuple, TypeVar, overload
+from numpy.typing import ArrayLike
+from .typing import ColorType, LineStyleType, CapStyleType, JoinStyleType
+
+def register_backend(
+    format: str, backend: str | type[FigureCanvasBase], description: str | None = ...
+) -> None: ...
+def get_registered_canvas_class(format: str) -> type[FigureCanvasBase]: ...
+
+class RendererBase:
+    def __init__(self) -> None: ...
+    def open_group(self, s: str, gid: str | None = ...) -> None: ...
+    def close_group(self, s: str) -> None: ...
+    def draw_path(
+        self,
+        gc: GraphicsContextBase,
+        path: Path,
+        transform: Transform,
+        rgbFace: ColorType | None = ...,
+    ) -> None: ...
+    def draw_markers(
+        self,
+        gc: GraphicsContextBase,
+        marker_path: Path,
+        marker_trans: Transform,
+        path: Path,
+        trans: Transform,
+        rgbFace: ColorType | None = ...,
+    ) -> None: ...
+    def draw_path_collection(
+        self,
+        gc: GraphicsContextBase,
+        master_transform: Transform,
+        paths: Sequence[Path],
+        all_transforms: Sequence[ArrayLike],
+        offsets: ArrayLike | Sequence[ArrayLike],
+        offset_trans: Transform,
+        facecolors: ColorType | Sequence[ColorType],
+        edgecolors: ColorType | Sequence[ColorType],
+        linewidths: float | Sequence[float],
+        linestyles: LineStyleType | Sequence[LineStyleType],
+        antialiaseds: bool | Sequence[bool],
+        urls: str | Sequence[str],
+        offset_position: Any,
+        *,
+        hatchcolors: ColorType | Sequence[ColorType] | None = None,
+    ) -> None: ...
+    def draw_quad_mesh(
+        self,
+        gc: GraphicsContextBase,
+        master_transform: Transform,
+        meshWidth,
+        meshHeight,
+        coordinates: ArrayLike,
+        offsets: ArrayLike | Sequence[ArrayLike],
+        offsetTrans: Transform,
+        facecolors: Sequence[ColorType],
+        antialiased: bool,
+        edgecolors: Sequence[ColorType] | ColorType | None,
+    ) -> None: ...
+    def draw_gouraud_triangles(
+        self,
+        gc: GraphicsContextBase,
+        triangles_array: ArrayLike,
+        colors_array: ArrayLike,
+        transform: Transform,
+    ) -> None: ...
+    def get_image_magnification(self) -> float: ...
+    def draw_image(
+        self,
+        gc: GraphicsContextBase,
+        x: float,
+        y: float,
+        im: ArrayLike,
+        transform: transforms.Affine2DBase | None = ...,
+    ) -> None: ...
+    def option_image_nocomposite(self) -> bool: ...
+    def option_scale_image(self) -> bool: ...
+    def draw_tex(
+        self,
+        gc: GraphicsContextBase,
+        x: float,
+        y: float,
+        s: str,
+        prop: FontProperties,
+        angle: float,
+        *,
+        mtext: Text | None = ...
+    ) -> None: ...
+    def draw_text(
+        self,
+        gc: GraphicsContextBase,
+        x: float,
+        y: float,
+        s: str,
+        prop: FontProperties,
+        angle: float,
+        ismath: bool | Literal["TeX"] = ...,
+        mtext: Text | None = ...,
+    ) -> None: ...
+    def get_text_width_height_descent(
+        self, s: str, prop: FontProperties, ismath: bool | Literal["TeX"]
+    ) -> tuple[float, float, float]: ...
+    def flipy(self) -> bool: ...
+    def get_canvas_width_height(self) -> tuple[float, float]: ...
+    def get_texmanager(self) -> TexManager: ...
+    def new_gc(self) -> GraphicsContextBase: ...
+    def points_to_pixels(self, points: ArrayLike) -> ArrayLike: ...
+    def start_rasterizing(self) -> None: ...
+    def stop_rasterizing(self) -> None: ...
+    def start_filter(self) -> None: ...
+    def stop_filter(self, filter_func) -> None: ...
+
+class GraphicsContextBase:
+    def __init__(self) -> None: ...
+    def copy_properties(self, gc: GraphicsContextBase) -> None: ...
+    def restore(self) -> None: ...
+    def get_alpha(self) -> float: ...
+    def get_antialiased(self) -> int: ...
+    def get_capstyle(self) -> Literal["butt", "projecting", "round"]: ...
+    def get_clip_rectangle(self) -> Bbox | None: ...
+    def get_clip_path(
+        self,
+    ) -> tuple[TransformedPath, Transform] | tuple[None, None]: ...
+    def get_dashes(self) -> tuple[float, ArrayLike | None]: ...
+    def get_forced_alpha(self) -> bool: ...
+    def get_joinstyle(self) -> Literal["miter", "round", "bevel"]: ...
+    def get_linewidth(self) -> float: ...
+    def get_rgb(self) -> tuple[float, float, float, float]: ...
+    def get_url(self) -> str | None: ...
+    def get_gid(self) -> int | None: ...
+    def get_snap(self) -> bool | None: ...
+    def set_alpha(self, alpha: float) -> None: ...
+    def set_antialiased(self, b: bool) -> None: ...
+    def set_capstyle(self, cs: CapStyleType) -> None: ...
+    def set_clip_rectangle(self, rectangle: Bbox | None) -> None: ...
+    def set_clip_path(self, path: TransformedPath | None) -> None: ...
+    def set_dashes(self, dash_offset: float, dash_list: ArrayLike | None) -> None: ...
+    def set_foreground(self, fg: ColorType, isRGBA: bool = ...) -> None: ...
+    def set_joinstyle(self, js: JoinStyleType) -> None: ...
+    def set_linewidth(self, w: float) -> None: ...
+    def set_url(self, url: str | None) -> None: ...
+    def set_gid(self, id: int | None) -> None: ...
+    def set_snap(self, snap: bool | None) -> None: ...
+    def set_hatch(self, hatch: str | None) -> None: ...
+    def get_hatch(self) -> str | None: ...
+    def get_hatch_path(self, density: float = ...) -> Path: ...
+    def get_hatch_color(self) -> ColorType: ...
+    def set_hatch_color(self, hatch_color: ColorType) -> None: ...
+    def get_hatch_linewidth(self) -> float: ...
+    def set_hatch_linewidth(self, hatch_linewidth: float) -> None: ...
+    def get_sketch_params(self) -> tuple[float, float, float] | None: ...
+    def set_sketch_params(
+        self,
+        scale: float | None = ...,
+        length: float | None = ...,
+        randomness: float | None = ...,
+    ) -> None: ...
+
+class TimerBase:
+    callbacks: list[tuple[Callable, tuple, dict[str, Any]]]
+    def __init__(
+        self,
+        interval: int | None = ...,
+        callbacks: list[tuple[Callable, tuple, dict[str, Any]]] | None = ...,
+    ) -> None: ...
+    def __del__(self) -> None: ...
+    def start(self) -> None: ...
+    def stop(self) -> None: ...
+    @property
+    def interval(self) -> int: ...
+    @interval.setter
+    def interval(self, interval: int) -> None: ...
+    @property
+    def single_shot(self) -> bool: ...
+    @single_shot.setter
+    def single_shot(self, ss: bool) -> None: ...
+    def add_callback(self, func: Callable, *args, **kwargs) -> Callable: ...
+    def remove_callback(self, func: Callable, *args, **kwargs) -> None: ...
+
+class Event:
+    name: str
+    canvas: FigureCanvasBase
+    guiEvent: Any
+    def __init__(
+        self, name: str, canvas: FigureCanvasBase, guiEvent: Any | None = ...
+    ) -> None: ...
+
+class DrawEvent(Event):
+    renderer: RendererBase
+    def __init__(
+        self, name: str, canvas: FigureCanvasBase, renderer: RendererBase
+    ) -> None: ...
+
+class ResizeEvent(Event):
+    width: int
+    height: int
+    def __init__(self, name: str, canvas: FigureCanvasBase) -> None: ...
+
+class CloseEvent(Event): ...
+
+class LocationEvent(Event):
+    x: int
+    y: int
+    inaxes: Axes | None
+    xdata: float | None
+    ydata: float | None
+    def __init__(
+        self,
+        name: str,
+        canvas: FigureCanvasBase,
+        x: int,
+        y: int,
+        guiEvent: Any | None = ...,
+        *,
+        modifiers: Iterable[str] | None = ...,
+    ) -> None: ...
+
+class MouseButton(IntEnum):
+    LEFT = 1
+    MIDDLE = 2
+    RIGHT = 3
+    BACK = 8
+    FORWARD = 9
+
+class MouseEvent(LocationEvent):
+    button: MouseButton | Literal["up", "down"] | None
+    key: str | None
+    step: float
+    dblclick: bool
+    def __init__(
+        self,
+        name: str,
+        canvas: FigureCanvasBase,
+        x: int,
+        y: int,
+        button: MouseButton | Literal["up", "down"] | None = ...,
+        key: str | None = ...,
+        step: float = ...,
+        dblclick: bool = ...,
+        guiEvent: Any | None = ...,
+        *,
+        buttons: Iterable[MouseButton] | None = ...,
+        modifiers: Iterable[str] | None = ...,
+    ) -> None: ...
+
+class PickEvent(Event):
+    mouseevent: MouseEvent
+    artist: Artist
+    def __init__(
+        self,
+        name: str,
+        canvas: FigureCanvasBase,
+        mouseevent: MouseEvent,
+        artist: Artist,
+        guiEvent: Any | None = ...,
+        **kwargs
+    ) -> None: ...
+
+class KeyEvent(LocationEvent):
+    key: str | None
+    def __init__(
+        self,
+        name: str,
+        canvas: FigureCanvasBase,
+        key: str | None,
+        x: int = ...,
+        y: int = ...,
+        guiEvent: Any | None = ...,
+    ) -> None: ...
+
+class FigureCanvasBase:
+    required_interactive_framework: str | None
+
+    @_api.classproperty
+    def manager_class(cls) -> type[FigureManagerBase]: ...
+    events: list[str]
+    fixed_dpi: None | float
+    filetypes: dict[str, str]
+
+    @_api.classproperty
+    def supports_blit(cls) -> bool: ...
+
+    figure: Figure
+    manager: None | FigureManagerBase
+    widgetlock: widgets.LockDraw
+    mouse_grabber: None | Axes
+    toolbar: None | NavigationToolbar2
+    def __init__(self, figure: Figure | None = ...) -> None: ...
+    @property
+    def callbacks(self) -> cbook.CallbackRegistry: ...
+    @property
+    def button_pick_id(self) -> int: ...
+    @property
+    def scroll_pick_id(self) -> int: ...
+    @classmethod
+    def new_manager(cls, figure: Figure, num: int | str) -> FigureManagerBase: ...
+    def is_saving(self) -> bool: ...
+    def blit(self, bbox: BboxBase | None = ...) -> None: ...
+    def inaxes(self, xy: tuple[float, float]) -> Axes | None: ...
+    def grab_mouse(self, ax: Axes) -> None: ...
+    def release_mouse(self, ax: Axes) -> None: ...
+    def set_cursor(self, cursor: Cursors) -> None: ...
+    def draw(self, *args, **kwargs) -> None: ...
+    def draw_idle(self, *args, **kwargs) -> None: ...
+    @property
+    def device_pixel_ratio(self) -> float: ...
+    def get_width_height(self, *, physical: bool = ...) -> tuple[int, int]: ...
+    @classmethod
+    def get_supported_filetypes(cls) -> dict[str, str]: ...
+    @classmethod
+    def get_supported_filetypes_grouped(cls) -> dict[str, list[str]]: ...
+    def print_figure(
+        self,
+        filename: str | os.PathLike | IO,
+        dpi: float | None = ...,
+        facecolor: ColorType | Literal["auto"] | None = ...,
+        edgecolor: ColorType | Literal["auto"] | None = ...,
+        orientation: str = ...,
+        format: str | None = ...,
+        *,
+        bbox_inches: Literal["tight"] | Bbox | None = ...,
+        pad_inches: float | None = ...,
+        bbox_extra_artists: list[Artist] | None = ...,
+        backend: str | None = ...,
+        **kwargs
+    ) -> Any: ...
+    @classmethod
+    def get_default_filetype(cls) -> str: ...
+    def get_default_filename(self) -> str: ...
+    _T = TypeVar("_T", bound=FigureCanvasBase)
+
+    @overload
+    def mpl_connect(
+        self,
+        s: Literal[
+            "button_press_event",
+            "motion_notify_event",
+            "scroll_event",
+            "figure_enter_event",
+            "figure_leave_event",
+            "axes_enter_event",
+            "axes_leave_event",
+            "button_release_event",
+        ],
+        func: Callable[[MouseEvent], Any],
+    ) -> int: ...
+
+    @overload
+    def mpl_connect(
+        self,
+        s: Literal["key_press_event", "key_release_event"],
+        func: Callable[[KeyEvent], Any],
+    ) -> int: ...
+
+    @overload
+    def mpl_connect(self, s: Literal["pick_event"], func: Callable[[PickEvent], Any]) -> int: ...
+
+    @overload
+    def mpl_connect(self, s: Literal["resize_event"], func: Callable[[ResizeEvent], Any]) -> int: ...
+
+    @overload
+    def mpl_connect(self, s: Literal["close_event"], func: Callable[[CloseEvent], Any]) -> int: ...
+
+    @overload
+    def mpl_connect(self, s: str, func: Callable[[Event], Any]) -> int: ...
+    def mpl_disconnect(self, cid: int) -> None: ...
+    def new_timer(
+        self,
+        interval: int | None = ...,
+        callbacks: list[tuple[Callable, tuple, dict[str, Any]]] | None = ...,
+    ) -> TimerBase: ...
+    def flush_events(self) -> None: ...
+    def start_event_loop(self, timeout: float = ...) -> None: ...
+    def stop_event_loop(self) -> None: ...
+
+def key_press_handler(
+    event: KeyEvent,
+    canvas: FigureCanvasBase | None = ...,
+    toolbar: NavigationToolbar2 | None = ...,
+) -> None: ...
+def button_press_handler(
+    event: MouseEvent,
+    canvas: FigureCanvasBase | None = ...,
+    toolbar: NavigationToolbar2 | None = ...,
+) -> None: ...
+
+class NonGuiException(Exception): ...
+
+class FigureManagerBase:
+    canvas: FigureCanvasBase
+    num: int | str
+    key_press_handler_id: int | None
+    button_press_handler_id: int | None
+    toolmanager: ToolManager | None
+    toolbar: NavigationToolbar2 | ToolContainerBase | None
+    def __init__(self, canvas: FigureCanvasBase, num: int | str) -> None: ...
+    @classmethod
+    def create_with_canvas(
+        cls, canvas_class: type[FigureCanvasBase], figure: Figure, num: int | str
+    ) -> FigureManagerBase: ...
+    @classmethod
+    def start_main_loop(cls) -> None: ...
+    @classmethod
+    def pyplot_show(cls, *, block: bool | None = ...) -> None: ...
+    def show(self) -> None: ...
+    def destroy(self) -> None: ...
+    def full_screen_toggle(self) -> None: ...
+    def resize(self, w: int, h: int) -> None: ...
+    def get_window_title(self) -> str: ...
+    def set_window_title(self, title: str) -> None: ...
+
+cursors = Cursors
+
+class _Mode(str, Enum):
+    NONE = ""
+    PAN = "pan/zoom"
+    ZOOM = "zoom rect"
+
+class NavigationToolbar2:
+    toolitems: tuple[tuple[str, ...] | tuple[None, ...], ...]
+    UNKNOWN_SAVED_STATUS: object
+    canvas: FigureCanvasBase
+    mode: _Mode
+    def __init__(self, canvas: FigureCanvasBase) -> None: ...
+    def set_message(self, s: str) -> None: ...
+    def draw_rubberband(
+        self, event: Event, x0: float, y0: float, x1: float, y1: float
+    ) -> None: ...
+    def remove_rubberband(self) -> None: ...
+    def home(self, *args) -> None: ...
+    def back(self, *args) -> None: ...
+    def forward(self, *args) -> None: ...
+    def mouse_move(self, event: MouseEvent) -> None: ...
+    def pan(self, *args) -> None: ...
+
+    class _PanInfo(NamedTuple):
+        button: MouseButton
+        axes: list[Axes]
+        cid: int
+    def press_pan(self, event: Event) -> None: ...
+    def drag_pan(self, event: Event) -> None: ...
+    def release_pan(self, event: Event) -> None: ...
+    def zoom(self, *args) -> None: ...
+
+    class _ZoomInfo(NamedTuple):
+        button: MouseButton
+        start_xy: tuple[float, float]
+        axes: list[Axes]
+        cid: int
+        cbar: Colorbar
+    def press_zoom(self, event: Event) -> None: ...
+    def drag_zoom(self, event: Event) -> None: ...
+    def release_zoom(self, event: Event) -> None: ...
+    def push_current(self) -> None: ...
+    subplot_tool: widgets.SubplotTool
+    def configure_subplots(self, *args: Any) -> widgets.SubplotTool: ...
+    def save_figure(self, *args) -> str | None | object: ...
+    def update(self) -> None: ...
+    def set_history_buttons(self) -> None: ...
+
+class ToolContainerBase:
+    toolmanager: ToolManager
+    def __init__(self, toolmanager: ToolManager) -> None: ...
+    def add_tool(self, tool: ToolBase, group: str, position: int = ...) -> None: ...
+    def trigger_tool(self, name: str) -> None: ...
+    def add_toolitem(
+        self,
+        name: str,
+        group: str,
+        position: int,
+        image: str,
+        description: str,
+        toggle: bool,
+    ) -> None: ...
+    def toggle_toolitem(self, name: str, toggled: bool) -> None: ...
+    def remove_toolitem(self, name: str) -> None: ...
+    def set_message(self, s: str) -> None: ...
+
+class _Backend:
+    backend_version: str
+    FigureCanvas: type[FigureCanvasBase] | None
+    FigureManager: type[FigureManagerBase]
+    mainloop: None | Callable[[], Any]
+    @classmethod
+    def new_figure_manager(cls, num: int | str, *args, **kwargs) -> FigureManagerBase: ...
+    @classmethod
+    def new_figure_manager_given_figure(cls, num: int | str, figure: Figure) -> FigureManagerBase: ...
+    @classmethod
+    def draw_if_interactive(cls) -> None: ...
+    @classmethod
+    def show(cls, *, block: bool | None = ...) -> None: ...
+    @staticmethod
+    def export(cls) -> type[_Backend]: ...
+
+class ShowBase(_Backend):
+    def __call__(self, block: bool | None = ...) -> None: ...
diff --git a/lib/matplotlib/backend_managers.py b/lib/matplotlib/backend_managers.py
new file mode 100644
index 000000000000..76f15030bcc5
--- /dev/null
+++ b/lib/matplotlib/backend_managers.py
@@ -0,0 +1,387 @@
+from matplotlib import _api, backend_tools, cbook, widgets
+
+
+class ToolEvent:
+    """Event for tool manipulation (add/remove)."""
+    def __init__(self, name, sender, tool, data=None):
+        self.name = name
+        self.sender = sender
+        self.tool = tool
+        self.data = data
+
+
+class ToolTriggerEvent(ToolEvent):
+    """Event to inform that a tool has been triggered."""
+    def __init__(self, name, sender, tool, canvasevent=None, data=None):
+        super().__init__(name, sender, tool, data)
+        self.canvasevent = canvasevent
+
+
+class ToolManagerMessageEvent:
+    """
+    Event carrying messages from toolmanager.
+
+    Messages usually get displayed to the user by the toolbar.
+    """
+    def __init__(self, name, sender, message):
+        self.name = name
+        self.sender = sender
+        self.message = message
+
+
+class ToolManager:
+    """
+    Manager for actions triggered by user interactions (key press, toolbar
+    clicks, ...) on a Figure.
+
+    Attributes
+    ----------
+    figure : `.Figure`
+    keypresslock : `~matplotlib.widgets.LockDraw`
+        `.LockDraw` object to know if the `canvas` key_press_event is locked.
+    messagelock : `~matplotlib.widgets.LockDraw`
+        `.LockDraw` object to know if the message is available to write.
+    """
+
+    def __init__(self, figure=None):
+
+        self._key_press_handler_id = None
+
+        self._tools = {}
+        self._keys = {}
+        self._toggled = {}
+        self._callbacks = cbook.CallbackRegistry()
+
+        # to process keypress event
+        self.keypresslock = widgets.LockDraw()
+        self.messagelock = widgets.LockDraw()
+
+        self._figure = None
+        self.set_figure(figure)
+
+    @property
+    def canvas(self):
+        """Canvas managed by FigureManager."""
+        if not self._figure:
+            return None
+        return self._figure.canvas
+
+    @property
+    def figure(self):
+        """Figure that holds the canvas."""
+        return self._figure
+
+    @figure.setter
+    def figure(self, figure):
+        self.set_figure(figure)
+
+    def set_figure(self, figure, update_tools=True):
+        """
+        Bind the given figure to the tools.
+
+        Parameters
+        ----------
+        figure : `.Figure`
+        update_tools : bool, default: True
+            Force tools to update figure.
+        """
+        if self._key_press_handler_id:
+            self.canvas.mpl_disconnect(self._key_press_handler_id)
+        self._figure = figure
+        if figure:
+            self._key_press_handler_id = self.canvas.mpl_connect(
+                'key_press_event', self._key_press)
+        if update_tools:
+            for tool in self._tools.values():
+                tool.figure = figure
+
+    def toolmanager_connect(self, s, func):
+        """
+        Connect event with string *s* to *func*.
+
+        Parameters
+        ----------
+        s : str
+            The name of the event. The following events are recognized:
+
+            - 'tool_message_event'
+            - 'tool_removed_event'
+            - 'tool_added_event'
+
+            For every tool added a new event is created
+
+            - 'tool_trigger_TOOLNAME', where TOOLNAME is the id of the tool.
+
+        func : callable
+            Callback function for the toolmanager event with signature::
+
+                def func(event: ToolEvent) -> Any
+
+        Returns
+        -------
+        cid
+            The callback id for the connection. This can be used in
+            `.toolmanager_disconnect`.
+        """
+        return self._callbacks.connect(s, func)
+
+    def toolmanager_disconnect(self, cid):
+        """
+        Disconnect callback id *cid*.
+
+        Example usage::
+
+            cid = toolmanager.toolmanager_connect('tool_trigger_zoom', onpress)
+            #...later
+            toolmanager.toolmanager_disconnect(cid)
+        """
+        return self._callbacks.disconnect(cid)
+
+    def message_event(self, message, sender=None):
+        """Emit a `ToolManagerMessageEvent`."""
+        if sender is None:
+            sender = self
+
+        s = 'tool_message_event'
+        event = ToolManagerMessageEvent(s, sender, message)
+        self._callbacks.process(s, event)
+
+    @property
+    def active_toggle(self):
+        """Currently toggled tools."""
+        return self._toggled
+
+    def get_tool_keymap(self, name):
+        """
+        Return the keymap associated with the specified tool.
+
+        Parameters
+        ----------
+        name : str
+            Name of the Tool.
+
+        Returns
+        -------
+        list of str
+            List of keys associated with the tool.
+        """
+
+        keys = [k for k, i in self._keys.items() if i == name]
+        return keys
+
+    def _remove_keys(self, name):
+        for k in self.get_tool_keymap(name):
+            del self._keys[k]
+
+    def update_keymap(self, name, key):
+        """
+        Set the keymap to associate with the specified tool.
+
+        Parameters
+        ----------
+        name : str
+            Name of the Tool.
+        key : str or list of str
+            Keys to associate with the tool.
+        """
+        if name not in self._tools:
+            raise KeyError(f'{name!r} not in Tools')
+        self._remove_keys(name)
+        if isinstance(key, str):
+            key = [key]
+        for k in key:
+            if k in self._keys:
+                _api.warn_external(
+                    f'Key {k} changed from {self._keys[k]} to {name}')
+            self._keys[k] = name
+
+    def remove_tool(self, name):
+        """
+        Remove tool named *name*.
+
+        Parameters
+        ----------
+        name : str
+            Name of the tool.
+        """
+        tool = self.get_tool(name)
+        if getattr(tool, 'toggled', False):  # If it's a toggled toggle tool, untoggle
+            self.trigger_tool(tool, 'toolmanager')
+        self._remove_keys(name)
+        event = ToolEvent('tool_removed_event', self, tool)
+        self._callbacks.process(event.name, event)
+        del self._tools[name]
+
+    def add_tool(self, name, tool, *args, **kwargs):
+        """
+        Add *tool* to `ToolManager`.
+
+        If successful, adds a new event ``tool_trigger_{name}`` where
+        ``{name}`` is the *name* of the tool; the event is fired every time the
+        tool is triggered.
+
+        Parameters
+        ----------
+        name : str
+            Name of the tool, treated as the ID, has to be unique.
+        tool : type
+            Class of the tool to be added.  A subclass will be used
+            instead if one was registered for the current canvas class.
+        *args, **kwargs
+            Passed to the *tool*'s constructor.
+
+        See Also
+        --------
+        matplotlib.backend_tools.ToolBase : The base class for tools.
+        """
+
+        tool_cls = backend_tools._find_tool_class(type(self.canvas), tool)
+        if not tool_cls:
+            raise ValueError('Impossible to find class for %s' % str(tool))
+
+        if name in self._tools:
+            _api.warn_external('A "Tool class" with the same name already '
+                               'exists, not added')
+            return self._tools[name]
+
+        tool_obj = tool_cls(self, name, *args, **kwargs)
+        self._tools[name] = tool_obj
+
+        if tool_obj.default_keymap is not None:
+            self.update_keymap(name, tool_obj.default_keymap)
+
+        # For toggle tools init the radio_group in self._toggled
+        if isinstance(tool_obj, backend_tools.ToolToggleBase):
+            # None group is not mutually exclusive, a set is used to keep track
+            # of all toggled tools in this group
+            if tool_obj.radio_group is None:
+                self._toggled.setdefault(None, set())
+            else:
+                self._toggled.setdefault(tool_obj.radio_group, None)
+
+            # If initially toggled
+            if tool_obj.toggled:
+                self._handle_toggle(tool_obj, None, None)
+        tool_obj.set_figure(self.figure)
+
+        event = ToolEvent('tool_added_event', self, tool_obj)
+        self._callbacks.process(event.name, event)
+
+        return tool_obj
+
+    def _handle_toggle(self, tool, canvasevent, data):
+        """
+        Toggle tools, need to untoggle prior to using other Toggle tool.
+        Called from trigger_tool.
+
+        Parameters
+        ----------
+        tool : `.ToolBase`
+        canvasevent : Event
+            Original Canvas event or None.
+        data : object
+            Extra data to pass to the tool when triggering.
+        """
+
+        radio_group = tool.radio_group
+        # radio_group None is not mutually exclusive
+        # just keep track of toggled tools in this group
+        if radio_group is None:
+            if tool.name in self._toggled[None]:
+                self._toggled[None].remove(tool.name)
+            else:
+                self._toggled[None].add(tool.name)
+            return
+
+        # If the tool already has a toggled state, untoggle it
+        if self._toggled[radio_group] == tool.name:
+            toggled = None
+        # If no tool was toggled in the radio_group
+        # toggle it
+        elif self._toggled[radio_group] is None:
+            toggled = tool.name
+        # Other tool in the radio_group is toggled
+        else:
+            # Untoggle previously toggled tool
+            self.trigger_tool(self._toggled[radio_group],
+                              self,
+                              canvasevent,
+                              data)
+            toggled = tool.name
+
+        # Keep track of the toggled tool in the radio_group
+        self._toggled[radio_group] = toggled
+
+    def trigger_tool(self, name, sender=None, canvasevent=None, data=None):
+        """
+        Trigger a tool and emit the ``tool_trigger_{name}`` event.
+
+        Parameters
+        ----------
+        name : str
+            Name of the tool.
+        sender : object
+            Object that wishes to trigger the tool.
+        canvasevent : Event
+            Original Canvas event or None.
+        data : object
+            Extra data to pass to the tool when triggering.
+        """
+        tool = self.get_tool(name)
+        if tool is None:
+            return
+
+        if sender is None:
+            sender = self
+
+        if isinstance(tool, backend_tools.ToolToggleBase):
+            self._handle_toggle(tool, canvasevent, data)
+
+        tool.trigger(sender, canvasevent, data)  # Actually trigger Tool.
+
+        s = 'tool_trigger_%s' % name
+        event = ToolTriggerEvent(s, sender, tool, canvasevent, data)
+        self._callbacks.process(s, event)
+
+    def _key_press(self, event):
+        if event.key is None or self.keypresslock.locked():
+            return
+
+        name = self._keys.get(event.key, None)
+        if name is None:
+            return
+        self.trigger_tool(name, canvasevent=event)
+
+    @property
+    def tools(self):
+        """A dict mapping tool name -> controlled tool."""
+        return self._tools
+
+    def get_tool(self, name, warn=True):
+        """
+        Return the tool object with the given name.
+
+        For convenience, this passes tool objects through.
+
+        Parameters
+        ----------
+        name : str or `.ToolBase`
+            Name of the tool, or the tool itself.
+        warn : bool, default: True
+            Whether a warning should be emitted it no tool with the given name
+            exists.
+
+        Returns
+        -------
+        `.ToolBase` or None
+            The tool or None if no tool with the given name exists.
+        """
+        if (isinstance(name, backend_tools.ToolBase)
+                and name.name in self._tools):
+            return name
+        if name not in self._tools:
+            if warn:
+                _api.warn_external(
+                    f"ToolManager does not control tool {name!r}")
+            return None
+        return self._tools[name]
diff --git a/lib/matplotlib/backend_managers.pyi b/lib/matplotlib/backend_managers.pyi
new file mode 100644
index 000000000000..9e59acb14eda
--- /dev/null
+++ b/lib/matplotlib/backend_managers.pyi
@@ -0,0 +1,64 @@
+from matplotlib import backend_tools, widgets
+from matplotlib.backend_bases import FigureCanvasBase
+from matplotlib.figure import Figure
+
+from collections.abc import Callable, Iterable
+from typing import Any, TypeVar
+
+class ToolEvent:
+    name: str
+    sender: Any
+    tool: backend_tools.ToolBase
+    data: Any
+    def __init__(self, name, sender, tool, data: Any | None = ...) -> None: ...
+
+class ToolTriggerEvent(ToolEvent):
+    canvasevent: ToolEvent
+    def __init__(
+        self,
+        name,
+        sender,
+        tool,
+        canvasevent: ToolEvent | None = ...,
+        data: Any | None = ...,
+    ) -> None: ...
+
+class ToolManagerMessageEvent:
+    name: str
+    sender: Any
+    message: str
+    def __init__(self, name: str, sender: Any, message: str) -> None: ...
+
+class ToolManager:
+    keypresslock: widgets.LockDraw
+    messagelock: widgets.LockDraw
+    def __init__(self, figure: Figure | None = ...) -> None: ...
+    @property
+    def canvas(self) -> FigureCanvasBase | None: ...
+    @property
+    def figure(self) -> Figure | None: ...
+    @figure.setter
+    def figure(self, figure: Figure) -> None: ...
+    def set_figure(self, figure: Figure, update_tools: bool = ...) -> None: ...
+    def toolmanager_connect(self, s: str, func: Callable[[ToolEvent], Any]) -> int: ...
+    def toolmanager_disconnect(self, cid: int) -> None: ...
+    def message_event(self, message: str, sender: Any | None = ...) -> None: ...
+    @property
+    def active_toggle(self) -> dict[str | None, list[str] | str]: ...
+    def get_tool_keymap(self, name: str) -> list[str]: ...
+    def update_keymap(self, name: str, key: str | Iterable[str]) -> None: ...
+    def remove_tool(self, name: str) -> None: ...
+    _T = TypeVar("_T", bound=backend_tools.ToolBase)
+    def add_tool(self, name: str, tool: type[_T], *args, **kwargs) -> _T: ...
+    def trigger_tool(
+        self,
+        name: str | backend_tools.ToolBase,
+        sender: Any | None = ...,
+        canvasevent: ToolEvent | None = ...,
+        data: Any | None = ...,
+    ) -> None: ...
+    @property
+    def tools(self) -> dict[str, backend_tools.ToolBase]: ...
+    def get_tool(
+        self, name: str | backend_tools.ToolBase, warn: bool = ...
+    ) -> backend_tools.ToolBase | None: ...
diff --git a/lib/matplotlib/backend_tools.py b/lib/matplotlib/backend_tools.py
new file mode 100644
index 000000000000..9410a73eff5f
--- /dev/null
+++ b/lib/matplotlib/backend_tools.py
@@ -0,0 +1,998 @@
+"""
+Abstract base classes define the primitives for Tools.
+These tools are used by `matplotlib.backend_managers.ToolManager`
+
+:class:`ToolBase`
+    Simple stateless tool
+
+:class:`ToolToggleBase`
+    Tool that has two states, only one Toggle tool can be
+    active at any given time for the same
+    `matplotlib.backend_managers.ToolManager`
+"""
+
+import enum
+import functools
+import re
+import time
+from types import SimpleNamespace
+import uuid
+from weakref import WeakKeyDictionary
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib._pylab_helpers import Gcf
+from matplotlib import _api, cbook
+
+
+class Cursors(enum.IntEnum):  # Must subclass int for the macOS backend.
+    """Backend-independent cursor types."""
+    POINTER = enum.auto()
+    HAND = enum.auto()
+    SELECT_REGION = enum.auto()
+    MOVE = enum.auto()
+    WAIT = enum.auto()
+    RESIZE_HORIZONTAL = enum.auto()
+    RESIZE_VERTICAL = enum.auto()
+cursors = Cursors  # Backcompat.
+
+
+# _tool_registry, _register_tool_class, and _find_tool_class implement a
+# mechanism through which ToolManager.add_tool can determine whether a subclass
+# of the requested tool class has been registered (either for the current
+# canvas class or for a parent class), in which case that tool subclass will be
+# instantiated instead.  This is the mechanism used e.g. to allow different
+# GUI backends to implement different specializations for ConfigureSubplots.
+
+
+_tool_registry = set()
+
+
+def _register_tool_class(canvas_cls, tool_cls=None):
+    """Decorator registering *tool_cls* as a tool class for *canvas_cls*."""
+    if tool_cls is None:
+        return functools.partial(_register_tool_class, canvas_cls)
+    _tool_registry.add((canvas_cls, tool_cls))
+    return tool_cls
+
+
+def _find_tool_class(canvas_cls, tool_cls):
+    """Find a subclass of *tool_cls* registered for *canvas_cls*."""
+    for canvas_parent in canvas_cls.__mro__:
+        for tool_child in _api.recursive_subclasses(tool_cls):
+            if (canvas_parent, tool_child) in _tool_registry:
+                return tool_child
+    return tool_cls
+
+
+# Views positions tool
+_views_positions = 'viewpos'
+
+
+class ToolBase:
+    """
+    Base tool class.
+
+    A base tool, only implements `trigger` method or no method at all.
+    The tool is instantiated by `matplotlib.backend_managers.ToolManager`.
+    """
+
+    default_keymap = None
+    """
+    Keymap to associate with this tool.
+
+    ``list[str]``: List of keys that will trigger this tool when a keypress
+    event is emitted on ``self.figure.canvas``.  Note that this attribute is
+    looked up on the instance, and can therefore be a property (this is used
+    e.g. by the built-in tools to load the rcParams at instantiation time).
+    """
+
+    description = None
+    """
+    Description of the Tool.
+
+    `str`: Tooltip used if the Tool is included in a Toolbar.
+    """
+
+    image = None
+    """
+    Icon filename.
+
+    ``str | None``: Filename of the Toolbar icon; either absolute, or relative to the
+    directory containing the Python source file where the ``Tool.image`` class attribute
+    is defined (in the latter case, this cannot be defined as an instance attribute).
+    In either case, the extension is optional; leaving it off lets individual backends
+    select the icon format they prefer.  If None, the *name* is used as a label in the
+    toolbar button.
+    """
+
+    def __init__(self, toolmanager, name):
+        self._name = name
+        self._toolmanager = toolmanager
+        self._figure = None
+
+    name = property(
+        lambda self: self._name,
+        doc="The tool id (str, must be unique among tools of a tool manager).")
+    toolmanager = property(
+        lambda self: self._toolmanager,
+        doc="The `.ToolManager` that controls this tool.")
+    canvas = property(
+        lambda self: self._figure.canvas if self._figure is not None else None,
+        doc="The canvas of the figure affected by this tool, or None.")
+
+    def set_figure(self, figure):
+        self._figure = figure
+
+    figure = property(
+        lambda self: self._figure,
+        # The setter must explicitly call self.set_figure so that subclasses can
+        # meaningfully override it.
+        lambda self, figure: self.set_figure(figure),
+        doc="The Figure affected by this tool, or None.")
+
+    def _make_classic_style_pseudo_toolbar(self):
+        """
+        Return a placeholder object with a single `canvas` attribute.
+
+        This is useful to reuse the implementations of tools already provided
+        by the classic Toolbars.
+        """
+        return SimpleNamespace(canvas=self.canvas)
+
+    def trigger(self, sender, event, data=None):
+        """
+        Called when this tool gets used.
+
+        This method is called by `.ToolManager.trigger_tool`.
+
+        Parameters
+        ----------
+        event : `.Event`
+            The canvas event that caused this tool to be called.
+        sender : object
+            Object that requested the tool to be triggered.
+        data : object
+            Extra data.
+        """
+        pass
+
+
+class ToolToggleBase(ToolBase):
+    """
+    Toggleable tool.
+
+    Every time it is triggered, it switches between enable and disable.
+
+    Parameters
+    ----------
+    ``*args``
+        Variable length argument to be used by the Tool.
+    ``**kwargs``
+        `toggled` if present and True, sets the initial state of the Tool
+        Arbitrary keyword arguments to be consumed by the Tool
+    """
+
+    radio_group = None
+    """
+    Attribute to group 'radio' like tools (mutually exclusive).
+
+    `str` that identifies the group or **None** if not belonging to a group.
+    """
+
+    cursor = None
+    """Cursor to use when the tool is active."""
+
+    default_toggled = False
+    """Default of toggled state."""
+
+    def __init__(self, *args, **kwargs):
+        self._toggled = kwargs.pop('toggled', self.default_toggled)
+        super().__init__(*args, **kwargs)
+
+    def trigger(self, sender, event, data=None):
+        """Calls `enable` or `disable` based on `~ToolToggleBase.toggled` value."""
+        if self._toggled:
+            self.disable(event)
+        else:
+            self.enable(event)
+        self._toggled = not self._toggled
+
+    def enable(self, event=None):
+        """
+        Enable the toggle tool.
+
+        `trigger` calls this method when `~ToolToggleBase.toggled` is False.
+        """
+        pass
+
+    def disable(self, event=None):
+        """
+        Disable the toggle tool.
+
+        `trigger` call this method when `~ToolToggleBase.toggled` is True.
+
+        This can happen in different circumstances.
+
+        * Click on the toolbar tool button.
+        * Call to `matplotlib.backend_managers.ToolManager.trigger_tool`.
+        * Another `ToolToggleBase` derived tool is triggered
+          (from the same `.ToolManager`).
+        """
+        pass
+
+    @property
+    def toggled(self):
+        """State of the toggled tool."""
+        return self._toggled
+
+    def set_figure(self, figure):
+        toggled = self.toggled
+        if toggled:
+            if self.figure:
+                self.trigger(self, None)
+            else:
+                # if no figure the internal state is not changed
+                # we change it here so next call to trigger will change it back
+                self._toggled = False
+        super().set_figure(figure)
+        if toggled:
+            if figure:
+                self.trigger(self, None)
+            else:
+                # if there is no figure, trigger won't change the internal
+                # state we change it back
+                self._toggled = True
+
+
+class ToolSetCursor(ToolBase):
+    """
+    Change to the current cursor while inaxes.
+
+    This tool, keeps track of all `ToolToggleBase` derived tools, and updates
+    the cursor when a tool gets triggered.
+    """
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._id_drag = None
+        self._current_tool = None
+        self._default_cursor = cursors.POINTER
+        self._last_cursor = self._default_cursor
+        self.toolmanager.toolmanager_connect('tool_added_event',
+                                             self._add_tool_cbk)
+        for tool in self.toolmanager.tools.values():  # process current tools
+            self._add_tool_cbk(mpl.backend_managers.ToolEvent(
+                'tool_added_event', self.toolmanager, tool))
+
+    def set_figure(self, figure):
+        if self._id_drag:
+            self.canvas.mpl_disconnect(self._id_drag)
+        super().set_figure(figure)
+        if figure:
+            self._id_drag = self.canvas.mpl_connect(
+                'motion_notify_event', self._set_cursor_cbk)
+
+    def _add_tool_cbk(self, event):
+        """Process every newly added tool."""
+        if getattr(event.tool, 'cursor', None) is not None:
+            self.toolmanager.toolmanager_connect(
+                f'tool_trigger_{event.tool.name}', self._tool_trigger_cbk)
+
+    def _tool_trigger_cbk(self, event):
+        self._current_tool = event.tool if event.tool.toggled else None
+        self._set_cursor_cbk(event.canvasevent)
+
+    def _set_cursor_cbk(self, event):
+        if not event or not self.canvas:
+            return
+        if (self._current_tool and getattr(event, "inaxes", None)
+                and event.inaxes.get_navigate()):
+            if self._last_cursor != self._current_tool.cursor:
+                self.canvas.set_cursor(self._current_tool.cursor)
+                self._last_cursor = self._current_tool.cursor
+        elif self._last_cursor != self._default_cursor:
+            self.canvas.set_cursor(self._default_cursor)
+            self._last_cursor = self._default_cursor
+
+
+class ToolCursorPosition(ToolBase):
+    """
+    Send message with the current pointer position.
+
+    This tool runs in the background reporting the position of the cursor.
+    """
+    def __init__(self, *args, **kwargs):
+        self._id_drag = None
+        super().__init__(*args, **kwargs)
+
+    def set_figure(self, figure):
+        if self._id_drag:
+            self.canvas.mpl_disconnect(self._id_drag)
+        super().set_figure(figure)
+        if figure:
+            self._id_drag = self.canvas.mpl_connect(
+                'motion_notify_event', self.send_message)
+
+    def send_message(self, event):
+        """Call `matplotlib.backend_managers.ToolManager.message_event`."""
+        if self.toolmanager.messagelock.locked():
+            return
+
+        from matplotlib.backend_bases import NavigationToolbar2
+        message = NavigationToolbar2._mouse_event_to_message(event)
+        self.toolmanager.message_event(message, self)
+
+
+class RubberbandBase(ToolBase):
+    """Draw and remove a rubberband."""
+    def trigger(self, sender, event, data=None):
+        """Call `draw_rubberband` or `remove_rubberband` based on data."""
+        if not self.figure.canvas.widgetlock.available(sender):
+            return
+        if data is not None:
+            self.draw_rubberband(*data)
+        else:
+            self.remove_rubberband()
+
+    def draw_rubberband(self, *data):
+        """
+        Draw rubberband.
+
+        This method must get implemented per backend.
+        """
+        raise NotImplementedError
+
+    def remove_rubberband(self):
+        """
+        Remove rubberband.
+
+        This method should get implemented per backend.
+        """
+        pass
+
+
+class ToolQuit(ToolBase):
+    """Tool to call the figure manager destroy method."""
+
+    description = 'Quit the figure'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.quit'])
+
+    def trigger(self, sender, event, data=None):
+        Gcf.destroy_fig(self.figure)
+
+
+class ToolQuitAll(ToolBase):
+    """Tool to call the figure manager destroy method."""
+
+    description = 'Quit all figures'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.quit_all'])
+
+    def trigger(self, sender, event, data=None):
+        Gcf.destroy_all()
+
+
+class ToolGrid(ToolBase):
+    """Tool to toggle the major grids of the figure."""
+
+    description = 'Toggle major grids'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.grid'])
+
+    def trigger(self, sender, event, data=None):
+        sentinel = str(uuid.uuid4())
+        # Trigger grid switching by temporarily setting :rc:`keymap.grid`
+        # to a unique key and sending an appropriate event.
+        with (cbook._setattr_cm(event, key=sentinel),
+              mpl.rc_context({'keymap.grid': sentinel})):
+            mpl.backend_bases.key_press_handler(event, self.figure.canvas)
+
+
+class ToolMinorGrid(ToolBase):
+    """Tool to toggle the major and minor grids of the figure."""
+
+    description = 'Toggle major and minor grids'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.grid_minor'])
+
+    def trigger(self, sender, event, data=None):
+        sentinel = str(uuid.uuid4())
+        # Trigger grid switching by temporarily setting :rc:`keymap.grid_minor`
+        # to a unique key and sending an appropriate event.
+        with (cbook._setattr_cm(event, key=sentinel),
+              mpl.rc_context({'keymap.grid_minor': sentinel})):
+            mpl.backend_bases.key_press_handler(event, self.figure.canvas)
+
+
+class ToolFullScreen(ToolBase):
+    """Tool to toggle full screen."""
+
+    description = 'Toggle fullscreen mode'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.fullscreen'])
+
+    def trigger(self, sender, event, data=None):
+        self.figure.canvas.manager.full_screen_toggle()
+
+
+class AxisScaleBase(ToolToggleBase):
+    """Base Tool to toggle between linear and logarithmic."""
+
+    def trigger(self, sender, event, data=None):
+        if event.inaxes is None:
+            return
+        super().trigger(sender, event, data)
+
+    def enable(self, event=None):
+        self.set_scale(event.inaxes, 'log')
+        self.figure.canvas.draw_idle()
+
+    def disable(self, event=None):
+        self.set_scale(event.inaxes, 'linear')
+        self.figure.canvas.draw_idle()
+
+
+class ToolYScale(AxisScaleBase):
+    """Tool to toggle between linear and logarithmic scales on the Y axis."""
+
+    description = 'Toggle scale Y axis'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.yscale'])
+
+    def set_scale(self, ax, scale):
+        ax.set_yscale(scale)
+
+
+class ToolXScale(AxisScaleBase):
+    """Tool to toggle between linear and logarithmic scales on the X axis."""
+
+    description = 'Toggle scale X axis'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.xscale'])
+
+    def set_scale(self, ax, scale):
+        ax.set_xscale(scale)
+
+
+class ToolViewsPositions(ToolBase):
+    """
+    Auxiliary Tool to handle changes in views and positions.
+
+    Runs in the background and should get used by all the tools that
+    need to access the figure's history of views and positions, e.g.
+
+    * `ToolZoom`
+    * `ToolPan`
+    * `ToolHome`
+    * `ToolBack`
+    * `ToolForward`
+    """
+
+    def __init__(self, *args, **kwargs):
+        self.views = WeakKeyDictionary()
+        self.positions = WeakKeyDictionary()
+        self.home_views = WeakKeyDictionary()
+        super().__init__(*args, **kwargs)
+
+    def add_figure(self, figure):
+        """Add the current figure to the stack of views and positions."""
+
+        if figure not in self.views:
+            self.views[figure] = cbook._Stack()
+            self.positions[figure] = cbook._Stack()
+            self.home_views[figure] = WeakKeyDictionary()
+            # Define Home
+            self.push_current(figure)
+            # Make sure we add a home view for new Axes as they're added
+            figure.add_axobserver(lambda fig: self.update_home_views(fig))
+
+    def clear(self, figure):
+        """Reset the Axes stack."""
+        if figure in self.views:
+            self.views[figure].clear()
+            self.positions[figure].clear()
+            self.home_views[figure].clear()
+            self.update_home_views()
+
+    def update_view(self):
+        """
+        Update the view limits and position for each Axes from the current
+        stack position. If any Axes are present in the figure that aren't in
+        the current stack position, use the home view limits for those Axes and
+        don't update *any* positions.
+        """
+
+        views = self.views[self.figure]()
+        if views is None:
+            return
+        pos = self.positions[self.figure]()
+        if pos is None:
+            return
+        home_views = self.home_views[self.figure]
+        all_axes = self.figure.get_axes()
+        for a in all_axes:
+            if a in views:
+                cur_view = views[a]
+            else:
+                cur_view = home_views[a]
+            a._set_view(cur_view)
+
+        if set(all_axes).issubset(pos):
+            for a in all_axes:
+                # Restore both the original and modified positions
+                a._set_position(pos[a][0], 'original')
+                a._set_position(pos[a][1], 'active')
+
+        self.figure.canvas.draw_idle()
+
+    def push_current(self, figure=None):
+        """
+        Push the current view limits and position onto their respective stacks.
+        """
+        if not figure:
+            figure = self.figure
+        views = WeakKeyDictionary()
+        pos = WeakKeyDictionary()
+        for a in figure.get_axes():
+            views[a] = a._get_view()
+            pos[a] = self._axes_pos(a)
+        self.views[figure].push(views)
+        self.positions[figure].push(pos)
+
+    def _axes_pos(self, ax):
+        """
+        Return the original and modified positions for the specified Axes.
+
+        Parameters
+        ----------
+        ax : matplotlib.axes.Axes
+            The `.Axes` to get the positions for.
+
+        Returns
+        -------
+        original_position, modified_position
+            A tuple of the original and modified positions.
+        """
+
+        return (ax.get_position(True).frozen(),
+                ax.get_position().frozen())
+
+    def update_home_views(self, figure=None):
+        """
+        Make sure that ``self.home_views`` has an entry for all Axes present
+        in the figure.
+        """
+
+        if not figure:
+            figure = self.figure
+        for a in figure.get_axes():
+            if a not in self.home_views[figure]:
+                self.home_views[figure][a] = a._get_view()
+
+    def home(self):
+        """Recall the first view and position from the stack."""
+        self.views[self.figure].home()
+        self.positions[self.figure].home()
+
+    def back(self):
+        """Back one step in the stack of views and positions."""
+        self.views[self.figure].back()
+        self.positions[self.figure].back()
+
+    def forward(self):
+        """Forward one step in the stack of views and positions."""
+        self.views[self.figure].forward()
+        self.positions[self.figure].forward()
+
+
+class ViewsPositionsBase(ToolBase):
+    """Base class for `ToolHome`, `ToolBack` and `ToolForward`."""
+
+    _on_trigger = None
+
+    def trigger(self, sender, event, data=None):
+        self.toolmanager.get_tool(_views_positions).add_figure(self.figure)
+        getattr(self.toolmanager.get_tool(_views_positions),
+                self._on_trigger)()
+        self.toolmanager.get_tool(_views_positions).update_view()
+
+
+class ToolHome(ViewsPositionsBase):
+    """Restore the original view limits."""
+
+    description = 'Reset original view'
+    image = 'mpl-data/images/home'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.home'])
+    _on_trigger = 'home'
+
+
+class ToolBack(ViewsPositionsBase):
+    """Move back up the view limits stack."""
+
+    description = 'Back to previous view'
+    image = 'mpl-data/images/back'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.back'])
+    _on_trigger = 'back'
+
+
+class ToolForward(ViewsPositionsBase):
+    """Move forward in the view lim stack."""
+
+    description = 'Forward to next view'
+    image = 'mpl-data/images/forward'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.forward'])
+    _on_trigger = 'forward'
+
+
+class ConfigureSubplotsBase(ToolBase):
+    """Base tool for the configuration of subplots."""
+
+    description = 'Configure subplots'
+    image = 'mpl-data/images/subplots'
+
+
+class SaveFigureBase(ToolBase):
+    """Base tool for figure saving."""
+
+    description = 'Save the figure'
+    image = 'mpl-data/images/filesave'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.save'])
+
+
+class ZoomPanBase(ToolToggleBase):
+    """Base class for `ToolZoom` and `ToolPan`."""
+    def __init__(self, *args):
+        super().__init__(*args)
+        self._button_pressed = None
+        self._xypress = None
+        self._idPress = None
+        self._idRelease = None
+        self._idScroll = None
+        self.base_scale = 2.
+        self.scrollthresh = .5  # .5 second scroll threshold
+        self.lastscroll = time.time()-self.scrollthresh
+
+    def enable(self, event=None):
+        """Connect press/release events and lock the canvas."""
+        self.figure.canvas.widgetlock(self)
+        self._idPress = self.figure.canvas.mpl_connect(
+            'button_press_event', self._press)
+        self._idRelease = self.figure.canvas.mpl_connect(
+            'button_release_event', self._release)
+        self._idScroll = self.figure.canvas.mpl_connect(
+            'scroll_event', self.scroll_zoom)
+
+    def disable(self, event=None):
+        """Release the canvas and disconnect press/release events."""
+        self._cancel_action()
+        self.figure.canvas.widgetlock.release(self)
+        self.figure.canvas.mpl_disconnect(self._idPress)
+        self.figure.canvas.mpl_disconnect(self._idRelease)
+        self.figure.canvas.mpl_disconnect(self._idScroll)
+
+    def trigger(self, sender, event, data=None):
+        self.toolmanager.get_tool(_views_positions).add_figure(self.figure)
+        super().trigger(sender, event, data)
+        new_navigate_mode = self.name.upper() if self.toggled else None
+        for ax in self.figure.axes:
+            ax.set_navigate_mode(new_navigate_mode)
+
+    def scroll_zoom(self, event):
+        # https://gist.github.com/tacaswell/3144287
+        if event.inaxes is None:
+            return
+
+        if event.button == 'up':
+            # deal with zoom in
+            scl = self.base_scale
+        elif event.button == 'down':
+            # deal with zoom out
+            scl = 1/self.base_scale
+        else:
+            # deal with something that should never happen
+            scl = 1
+
+        ax = event.inaxes
+        ax._set_view_from_bbox([event.x, event.y, scl])
+
+        # If last scroll was done within the timing threshold, delete the
+        # previous view
+        if (time.time()-self.lastscroll) < self.scrollthresh:
+            self.toolmanager.get_tool(_views_positions).back()
+
+        self.figure.canvas.draw_idle()  # force re-draw
+
+        self.lastscroll = time.time()
+        self.toolmanager.get_tool(_views_positions).push_current()
+
+
+class ToolZoom(ZoomPanBase):
+    """A Tool for zooming using a rectangle selector."""
+
+    description = 'Zoom to rectangle'
+    image = 'mpl-data/images/zoom_to_rect'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.zoom'])
+    cursor = cursors.SELECT_REGION
+    radio_group = 'default'
+
+    def __init__(self, *args):
+        super().__init__(*args)
+        self._ids_zoom = []
+
+    def _cancel_action(self):
+        for zoom_id in self._ids_zoom:
+            self.figure.canvas.mpl_disconnect(zoom_id)
+        self.toolmanager.trigger_tool('rubberband', self)
+        self.figure.canvas.draw_idle()
+        self._xypress = None
+        self._button_pressed = None
+        self._ids_zoom = []
+        return
+
+    def _press(self, event):
+        """Callback for mouse button presses in zoom-to-rectangle mode."""
+
+        # If we're already in the middle of a zoom, pressing another
+        # button works to "cancel"
+        if self._ids_zoom:
+            self._cancel_action()
+
+        if event.button == 1:
+            self._button_pressed = 1
+        elif event.button == 3:
+            self._button_pressed = 3
+        else:
+            self._cancel_action()
+            return
+
+        x, y = event.x, event.y
+
+        self._xypress = []
+        for i, a in enumerate(self.figure.get_axes()):
+            if (x is not None and y is not None and a.in_axes(event) and
+                    a.get_navigate() and a.can_zoom()):
+                self._xypress.append((x, y, a, i, a._get_view()))
+
+        id1 = self.figure.canvas.mpl_connect(
+            'motion_notify_event', self._mouse_move)
+        id2 = self.figure.canvas.mpl_connect(
+            'key_press_event', self._switch_on_zoom_mode)
+        id3 = self.figure.canvas.mpl_connect(
+            'key_release_event', self._switch_off_zoom_mode)
+
+        self._ids_zoom = id1, id2, id3
+        self._zoom_mode = event.key
+
+    def _switch_on_zoom_mode(self, event):
+        self._zoom_mode = event.key
+        self._mouse_move(event)
+
+    def _switch_off_zoom_mode(self, event):
+        self._zoom_mode = None
+        self._mouse_move(event)
+
+    def _mouse_move(self, event):
+        """Callback for mouse moves in zoom-to-rectangle mode."""
+
+        if self._xypress:
+            x, y = event.x, event.y
+            lastx, lasty, a, ind, view = self._xypress[0]
+            (x1, y1), (x2, y2) = np.clip(
+                [[lastx, lasty], [x, y]], a.bbox.min, a.bbox.max)
+            if self._zoom_mode == "x":
+                y1, y2 = a.bbox.intervaly
+            elif self._zoom_mode == "y":
+                x1, x2 = a.bbox.intervalx
+            self.toolmanager.trigger_tool(
+                'rubberband', self, data=(x1, y1, x2, y2))
+
+    def _release(self, event):
+        """Callback for mouse button releases in zoom-to-rectangle mode."""
+
+        for zoom_id in self._ids_zoom:
+            self.figure.canvas.mpl_disconnect(zoom_id)
+        self._ids_zoom = []
+
+        if not self._xypress:
+            self._cancel_action()
+            return
+
+        done_ax = []
+
+        for cur_xypress in self._xypress:
+            x, y = event.x, event.y
+            lastx, lasty, a, _ind, view = cur_xypress
+            # ignore singular clicks - 5 pixels is a threshold
+            if abs(x - lastx) < 5 or abs(y - lasty) < 5:
+                self._cancel_action()
+                return
+
+            # detect twinx, twiny Axes and avoid double zooming
+            twinx = any(a.get_shared_x_axes().joined(a, a1) for a1 in done_ax)
+            twiny = any(a.get_shared_y_axes().joined(a, a1) for a1 in done_ax)
+            done_ax.append(a)
+
+            if self._button_pressed == 1:
+                direction = 'in'
+            elif self._button_pressed == 3:
+                direction = 'out'
+            else:
+                continue
+
+            a._set_view_from_bbox((lastx, lasty, x, y), direction,
+                                  self._zoom_mode, twinx, twiny)
+
+        self._zoom_mode = None
+        self.toolmanager.get_tool(_views_positions).push_current()
+        self._cancel_action()
+
+
+class ToolPan(ZoomPanBase):
+    """Pan Axes with left mouse, zoom with right."""
+
+    default_keymap = property(lambda self: mpl.rcParams['keymap.pan'])
+    description = 'Pan axes with left mouse, zoom with right'
+    image = 'mpl-data/images/move'
+    cursor = cursors.MOVE
+    radio_group = 'default'
+
+    def __init__(self, *args):
+        super().__init__(*args)
+        self._id_drag = None
+
+    def _cancel_action(self):
+        self._button_pressed = None
+        self._xypress = []
+        self.figure.canvas.mpl_disconnect(self._id_drag)
+        self.toolmanager.messagelock.release(self)
+        self.figure.canvas.draw_idle()
+
+    def _press(self, event):
+        if event.button == 1:
+            self._button_pressed = 1
+        elif event.button == 3:
+            self._button_pressed = 3
+        else:
+            self._cancel_action()
+            return
+
+        x, y = event.x, event.y
+
+        self._xypress = []
+        for i, a in enumerate(self.figure.get_axes()):
+            if (x is not None and y is not None and a.in_axes(event) and
+                    a.get_navigate() and a.can_pan()):
+                a.start_pan(x, y, event.button)
+                self._xypress.append((a, i))
+                self.toolmanager.messagelock(self)
+                self._id_drag = self.figure.canvas.mpl_connect(
+                    'motion_notify_event', self._mouse_move)
+
+    def _release(self, event):
+        if self._button_pressed is None:
+            self._cancel_action()
+            return
+
+        self.figure.canvas.mpl_disconnect(self._id_drag)
+        self.toolmanager.messagelock.release(self)
+
+        for a, _ind in self._xypress:
+            a.end_pan()
+        if not self._xypress:
+            self._cancel_action()
+            return
+
+        self.toolmanager.get_tool(_views_positions).push_current()
+        self._cancel_action()
+
+    def _mouse_move(self, event):
+        for a, _ind in self._xypress:
+            # safer to use the recorded button at the _press than current
+            # button: # multiple button can get pressed during motion...
+            a.drag_pan(self._button_pressed, event.key, event.x, event.y)
+        self.toolmanager.canvas.draw_idle()
+
+
+class ToolHelpBase(ToolBase):
+    description = 'Print tool list, shortcuts and description'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.help'])
+    image = 'mpl-data/images/help'
+
+    @staticmethod
+    def format_shortcut(key_sequence):
+        """
+        Convert a shortcut string from the notation used in rc config to the
+        standard notation for displaying shortcuts, e.g. 'ctrl+a' -> 'Ctrl+A'.
+        """
+        return (key_sequence if len(key_sequence) == 1 else
+                re.sub(r"\+[A-Z]", r"+Shift\g<0>", key_sequence).title())
+
+    def _format_tool_keymap(self, name):
+        keymaps = self.toolmanager.get_tool_keymap(name)
+        return ", ".join(self.format_shortcut(keymap) for keymap in keymaps)
+
+    def _get_help_entries(self):
+        return [(name, self._format_tool_keymap(name), tool.description)
+                for name, tool in sorted(self.toolmanager.tools.items())
+                if tool.description]
+
+    def _get_help_text(self):
+        entries = self._get_help_entries()
+        entries = ["{}: {}\n\t{}".format(*entry) for entry in entries]
+        return "\n".join(entries)
+
+    def _get_help_html(self):
+        fmt = "<tr><td>{}</td><td>{}</td><td>{}</td></tr>"
+        rows = [fmt.format(
+            "<b>Action</b>", "<b>Shortcuts</b>", "<b>Description</b>")]
+        rows += [fmt.format(*row) for row in self._get_help_entries()]
+        return ("<style>td {padding: 0px 4px}</style>"
+                "<table><thead>" + rows[0] + "</thead>"
+                "<tbody>".join(rows[1:]) + "</tbody></table>")
+
+
+class ToolCopyToClipboardBase(ToolBase):
+    """Tool to copy the figure to the clipboard."""
+
+    description = 'Copy the canvas figure to clipboard'
+    default_keymap = property(lambda self: mpl.rcParams['keymap.copy'])
+
+    def trigger(self, *args, **kwargs):
+        message = "Copy tool is not available"
+        self.toolmanager.message_event(message, self)
+
+
+default_tools = {'home': ToolHome, 'back': ToolBack, 'forward': ToolForward,
+                 'zoom': ToolZoom, 'pan': ToolPan,
+                 'subplots': ConfigureSubplotsBase,
+                 'save': SaveFigureBase,
+                 'grid': ToolGrid,
+                 'grid_minor': ToolMinorGrid,
+                 'fullscreen': ToolFullScreen,
+                 'quit': ToolQuit,
+                 'quit_all': ToolQuitAll,
+                 'xscale': ToolXScale,
+                 'yscale': ToolYScale,
+                 'position': ToolCursorPosition,
+                 _views_positions: ToolViewsPositions,
+                 'cursor': ToolSetCursor,
+                 'rubberband': RubberbandBase,
+                 'help': ToolHelpBase,
+                 'copy': ToolCopyToClipboardBase,
+                 }
+
+default_toolbar_tools = [['navigation', ['home', 'back', 'forward']],
+                         ['zoompan', ['pan', 'zoom', 'subplots']],
+                         ['io', ['save', 'help']]]
+
+
+def add_tools_to_manager(toolmanager, tools=default_tools):
+    """
+    Add multiple tools to a `.ToolManager`.
+
+    Parameters
+    ----------
+    toolmanager : `.backend_managers.ToolManager`
+        Manager to which the tools are added.
+    tools : {str: class_like}, optional
+        The tools to add in a {name: tool} dict, see
+        `.backend_managers.ToolManager.add_tool` for more info.
+    """
+
+    for name, tool in tools.items():
+        toolmanager.add_tool(name, tool)
+
+
+def add_tools_to_container(container, tools=default_toolbar_tools):
+    """
+    Add multiple tools to the container.
+
+    Parameters
+    ----------
+    container : Container
+        `.backend_bases.ToolContainerBase` object that will get the tools
+        added.
+    tools : list, optional
+        List in the form ``[[group1, [tool1, tool2 ...]], [group2, [...]]]``
+        where the tools ``[tool1, tool2, ...]`` will display in group1.
+        See `.backend_bases.ToolContainerBase.add_tool` for details.
+    """
+
+    for group, grouptools in tools:
+        for position, tool in enumerate(grouptools):
+            container.add_tool(tool, group, position)
diff --git a/lib/matplotlib/backend_tools.pyi b/lib/matplotlib/backend_tools.pyi
new file mode 100644
index 000000000000..32fe8c2f5a79
--- /dev/null
+++ b/lib/matplotlib/backend_tools.pyi
@@ -0,0 +1,121 @@
+import enum
+from matplotlib import cbook
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import ToolContainerBase, FigureCanvasBase
+from matplotlib.backend_managers import ToolManager, ToolEvent
+from matplotlib.figure import Figure
+from matplotlib.scale import ScaleBase
+
+from typing import Any, cast
+
+class Cursors(enum.IntEnum):
+    POINTER = cast(int, ...)
+    HAND = cast(int, ...)
+    SELECT_REGION = cast(int, ...)
+    MOVE = cast(int, ...)
+    WAIT = cast(int, ...)
+    RESIZE_HORIZONTAL = cast(int, ...)
+    RESIZE_VERTICAL = cast(int, ...)
+
+cursors = Cursors
+
+class ToolBase:
+    @property
+    def default_keymap(self) -> list[str] | None: ...
+    description: str | None
+    image: str | None
+    def __init__(self, toolmanager: ToolManager, name: str) -> None: ...
+    @property
+    def name(self) -> str: ...
+    @property
+    def toolmanager(self) -> ToolManager: ...
+    @property
+    def canvas(self) -> FigureCanvasBase | None: ...
+    @property
+    def figure(self) -> Figure | None: ...
+    @figure.setter
+    def figure(self, figure: Figure | None) -> None: ...
+    def set_figure(self, figure: Figure | None) -> None: ...
+    def trigger(self, sender: Any, event: ToolEvent, data: Any = ...) -> None: ...
+
+class ToolToggleBase(ToolBase):
+    radio_group: str | None
+    cursor: Cursors | None
+    default_toggled: bool
+    def __init__(self, *args, **kwargs) -> None: ...
+    def enable(self, event: ToolEvent | None = ...) -> None: ...
+    def disable(self, event: ToolEvent | None = ...) -> None: ...
+    @property
+    def toggled(self) -> bool: ...
+    def set_figure(self, figure: Figure | None) -> None: ...
+
+class ToolSetCursor(ToolBase): ...
+
+class ToolCursorPosition(ToolBase):
+    def send_message(self, event: ToolEvent) -> None: ...
+
+class RubberbandBase(ToolBase):
+    def draw_rubberband(self, *data) -> None: ...
+    def remove_rubberband(self) -> None: ...
+
+class ToolQuit(ToolBase): ...
+class ToolQuitAll(ToolBase): ...
+class ToolGrid(ToolBase): ...
+class ToolMinorGrid(ToolBase): ...
+class ToolFullScreen(ToolBase): ...
+
+class AxisScaleBase(ToolToggleBase):
+    def enable(self, event: ToolEvent | None = ...) -> None: ...
+    def disable(self, event: ToolEvent | None = ...) -> None: ...
+
+class ToolYScale(AxisScaleBase):
+    def set_scale(self, ax: Axes, scale: str | ScaleBase) -> None: ...
+
+class ToolXScale(AxisScaleBase):
+    def set_scale(self, ax, scale: str | ScaleBase) -> None: ...
+
+class ToolViewsPositions(ToolBase):
+    views: dict[Figure | Axes, cbook._Stack]
+    positions: dict[Figure | Axes, cbook._Stack]
+    home_views: dict[Figure, dict[Axes, tuple[float, float, float, float]]]
+    def add_figure(self, figure: Figure) -> None: ...
+    def clear(self, figure: Figure) -> None: ...
+    def update_view(self) -> None: ...
+    def push_current(self, figure: Figure | None = ...) -> None: ...
+    def update_home_views(self, figure: Figure | None = ...) -> None: ...
+    def home(self) -> None: ...
+    def back(self) -> None: ...
+    def forward(self) -> None: ...
+
+class ViewsPositionsBase(ToolBase): ...
+class ToolHome(ViewsPositionsBase): ...
+class ToolBack(ViewsPositionsBase): ...
+class ToolForward(ViewsPositionsBase): ...
+class ConfigureSubplotsBase(ToolBase): ...
+class SaveFigureBase(ToolBase): ...
+
+class ZoomPanBase(ToolToggleBase):
+    base_scale: float
+    scrollthresh: float
+    lastscroll: float
+    def __init__(self, *args) -> None: ...
+    def enable(self, event: ToolEvent | None = ...) -> None: ...
+    def disable(self, event: ToolEvent | None = ...) -> None: ...
+    def scroll_zoom(self, event: ToolEvent) -> None: ...
+
+class ToolZoom(ZoomPanBase): ...
+class ToolPan(ZoomPanBase): ...
+
+class ToolHelpBase(ToolBase):
+    @staticmethod
+    def format_shortcut(key_sequence: str) -> str: ...
+
+class ToolCopyToClipboardBase(ToolBase): ...
+
+default_tools: dict[str, ToolBase]
+default_toolbar_tools: list[list[str | list[str]]]
+
+def add_tools_to_manager(
+    toolmanager: ToolManager, tools: dict[str, type[ToolBase]] = ...
+) -> None: ...
+def add_tools_to_container(container: ToolContainerBase, tools: list[Any] = ...) -> None: ...
diff --git a/lib/matplotlib/backends/Matplotlib.nib/classes.nib b/lib/matplotlib/backends/Matplotlib.nib/classes.nib
deleted file mode 100644
index 5f296f1ea4a3..000000000000
--- a/lib/matplotlib/backends/Matplotlib.nib/classes.nib
+++ /dev/null
@@ -1,59 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>IBClasses</key>
-	<array>
-		<dict>
-			<key>CLASS</key>
-			<string>FirstResponder</string>
-			<key>LANGUAGE</key>
-			<string>ObjC</string>
-			<key>SUPERCLASS</key>
-			<string>NSObject</string>
-		</dict>
-		<dict>
-			<key>ACTIONS</key>
-			<dict>
-				<key>printFigure</key>
-				<string>id</string>
-				<key>quit</key>
-				<string>id</string>
-				<key>saveFigure</key>
-				<string>id</string>
-			</dict>
-			<key>CLASS</key>
-			<string>MatplotlibController</string>
-			<key>LANGUAGE</key>
-			<string>ObjC</string>
-			<key>OUTLETS</key>
-			<dict>
-				<key>plotView</key>
-				<string>PlotView</string>
-				<key>plotWindow</key>
-				<string>NSWindow</string>
-			</dict>
-			<key>SUPERCLASS</key>
-			<string>NSObject</string>
-		</dict>
-		<dict>
-			<key>CLASS</key>
-			<string>PlotView</string>
-			<key>LANGUAGE</key>
-			<string>ObjC</string>
-			<key>SUPERCLASS</key>
-			<string>NSImageView</string>
-		</dict>
-		<dict>
-			<key>CLASS</key>
-			<string>PlotWindow</string>
-			<key>LANGUAGE</key>
-			<string>ObjC</string>
-			<key>SUPERCLASS</key>
-			<string>NSWindow</string>
-		</dict>
-	</array>
-	<key>IBVersion</key>
-	<string>1</string>
-</dict>
-</plist>
diff --git a/lib/matplotlib/backends/Matplotlib.nib/info.nib b/lib/matplotlib/backends/Matplotlib.nib/info.nib
deleted file mode 100644
index 1019096bcbb4..000000000000
--- a/lib/matplotlib/backends/Matplotlib.nib/info.nib
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>IBDocumentLocation</key>
-	<string>42 396 439 411 0 0 1280 832 </string>
-	<key>IBFramework Version</key>
-	<string>446.1</string>
-	<key>IBOpenObjects</key>
-	<array>
-		<integer>21</integer>
-	</array>
-	<key>IBSystem Version</key>
-	<string>8L127</string>
-</dict>
-</plist>
diff --git a/lib/matplotlib/backends/Matplotlib.nib/keyedobjects.nib b/lib/matplotlib/backends/Matplotlib.nib/keyedobjects.nib
deleted file mode 100644
index 9d6c3065d80d..000000000000
--- a/lib/matplotlib/backends/Matplotlib.nib/keyedobjects.nib
+++ /dev/null
@@ -1,1225 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>$archiver</key>
-	<string>NSKeyedArchiver</string>
-	<key>$objects</key>
-	<array>
-		<string>$null</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>97</integer>
-			</dict>
-			<key>NSAccessibilityConnectors</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>94</integer>
-			</dict>
-			<key>NSAccessibilityOidsKeys</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>95</integer>
-			</dict>
-			<key>NSAccessibilityOidsValues</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>96</integer>
-			</dict>
-			<key>NSClassesKeys</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>77</integer>
-			</dict>
-			<key>NSClassesValues</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>78</integer>
-			</dict>
-			<key>NSConnections</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>52</integer>
-			</dict>
-			<key>NSFontManager</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>0</integer>
-			</dict>
-			<key>NSFramework</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>6</integer>
-			</dict>
-			<key>NSNamesKeys</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>72</integer>
-			</dict>
-			<key>NSNamesValues</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>73</integer>
-			</dict>
-			<key>NSNextOid</key>
-			<integer>262</integer>
-			<key>NSObjectsKeys</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>69</integer>
-			</dict>
-			<key>NSObjectsValues</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>71</integer>
-			</dict>
-			<key>NSOidsKeys</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>79</integer>
-			</dict>
-			<key>NSOidsValues</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>80</integer>
-			</dict>
-			<key>NSRoot</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>2</integer>
-			</dict>
-			<key>NSVisibleWindows</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>7</integer>
-			</dict>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>5</integer>
-			</dict>
-			<key>NSClassName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>3</integer>
-			</dict>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>4</integer>
-			</dict>
-			<key>NS.string</key>
-			<string>NSApplication</string>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSMutableString</string>
-				<string>NSString</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSMutableString</string>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSCustomObject</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSCustomObject</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>4</integer>
-			</dict>
-			<key>NS.string</key>
-			<string>IBCocoaFramework</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>25</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>8</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>51</integer>
-			</dict>
-			<key>NSMaxSize</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>50</integer>
-			</dict>
-			<key>NSMinSize</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>49</integer>
-			</dict>
-			<key>NSScreenRect</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>48</integer>
-			</dict>
-			<key>NSViewClass</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>12</integer>
-			</dict>
-			<key>NSWTFlags</key>
-			<integer>807927808</integer>
-			<key>NSWindowBacking</key>
-			<integer>2</integer>
-			<key>NSWindowClass</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>11</integer>
-			</dict>
-			<key>NSWindowRect</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>9</integer>
-			</dict>
-			<key>NSWindowStyleMask</key>
-			<integer>270</integer>
-			<key>NSWindowTitle</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>10</integer>
-			</dict>
-			<key>NSWindowView</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-		</dict>
-		<string>{{50, 189}, {600, 500}}</string>
-		<string>Matplotlib</string>
-		<string>PlotWindow</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>4</integer>
-			</dict>
-			<key>NS.string</key>
-			<string>View</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>47</integer>
-			</dict>
-			<key>NSFrame</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>46</integer>
-			</dict>
-			<key>NSNextResponder</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>0</integer>
-			</dict>
-			<key>NSSubviews</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>14</integer>
-			</dict>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>45</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>15</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>30</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>41</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>29</integer>
-			</dict>
-			<key>NSCell</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>27</integer>
-			</dict>
-			<key>NSClassName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>16</integer>
-			</dict>
-			<key>NSDragTypes</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>18</integer>
-			</dict>
-			<key>NSEditable</key>
-			<true/>
-			<key>NSEnabled</key>
-			<true/>
-			<key>NSFrame</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>26</integer>
-			</dict>
-			<key>NSNextResponder</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSOriginalClassName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>17</integer>
-			</dict>
-			<key>NSSuperview</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSvFlags</key>
-			<integer>274</integer>
-		</dict>
-		<string>PlotView</string>
-		<string>NSImageView</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>25</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>19</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>20</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>21</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>22</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>23</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>24</integer>
-				</dict>
-			</array>
-		</dict>
-		<string>Apple PDF pasteboard type</string>
-		<string>NeXT Encapsulated PostScript v1.2 pasteboard type</string>
-		<string>NeXT TIFF v4.0 pasteboard type</string>
-		<string>NSFilenamesPboardType</string>
-		<string>Apple PICT pasteboard type</string>
-		<string>Apple PNG pasteboard type</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSMutableSet</string>
-				<string>NSSet</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSMutableSet</string>
-		</dict>
-		<string>{{7, 52}, {586, 441}}</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>28</integer>
-			</dict>
-			<key>NSAlign</key>
-			<integer>0</integer>
-			<key>NSAnimates</key>
-			<false/>
-			<key>NSCellFlags</key>
-			<integer>130560</integer>
-			<key>NSCellFlags2</key>
-			<integer>33554432</integer>
-			<key>NSScale</key>
-			<integer>2</integer>
-			<key>NSStyle</key>
-			<integer>2</integer>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSImageCell</string>
-				<string>%NSImageCell</string>
-				<string>NSCell</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSImageCell</string>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSClassSwapper</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSClassSwapper</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>40</integer>
-			</dict>
-			<key>NSCell</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>32</integer>
-			</dict>
-			<key>NSEnabled</key>
-			<true/>
-			<key>NSFrame</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>31</integer>
-			</dict>
-			<key>NSNextResponder</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSSuperview</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSvFlags</key>
-			<integer>289</integer>
-		</dict>
-		<string>{{486, 20}, {94, 20}}</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>39</integer>
-			</dict>
-			<key>NSAlternateContents</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>38</integer>
-			</dict>
-			<key>NSAlternateImage</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>37</integer>
-			</dict>
-			<key>NSButtonFlags</key>
-			<integer>-2038021889</integer>
-			<key>NSButtonFlags2</key>
-			<integer>32</integer>
-			<key>NSCellFlags</key>
-			<integer>67239424</integer>
-			<key>NSCellFlags2</key>
-			<integer>134348800</integer>
-			<key>NSContents</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>33</integer>
-			</dict>
-			<key>NSControlView</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>30</integer>
-			</dict>
-			<key>NSKeyEquivalent</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>38</integer>
-			</dict>
-			<key>NSPeriodicDelay</key>
-			<integer>400</integer>
-			<key>NSPeriodicInterval</key>
-			<integer>75</integer>
-			<key>NSSupport</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>34</integer>
-			</dict>
-		</dict>
-		<string>Save Figure</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>36</integer>
-			</dict>
-			<key>NSName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>35</integer>
-			</dict>
-			<key>NSSize</key>
-			<real>11</real>
-			<key>NSfFlags</key>
-			<integer>3100</integer>
-		</dict>
-		<string>LucidaGrande</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSFont</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSFont</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>36</integer>
-			</dict>
-			<key>NSName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>35</integer>
-			</dict>
-			<key>NSSize</key>
-			<real>11</real>
-			<key>NSfFlags</key>
-			<integer>16</integer>
-		</dict>
-		<string></string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSButtonCell</string>
-				<string>%NSButtonCell</string>
-				<string>NSActionCell</string>
-				<string>NSCell</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSButtonCell</string>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSButton</string>
-				<string>NSControl</string>
-				<string>NSView</string>
-				<string>NSResponder</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSButton</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>40</integer>
-			</dict>
-			<key>NSCell</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>43</integer>
-			</dict>
-			<key>NSEnabled</key>
-			<true/>
-			<key>NSFrame</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>42</integer>
-			</dict>
-			<key>NSNextResponder</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSSuperview</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>13</integer>
-			</dict>
-			<key>NSvFlags</key>
-			<integer>292</integer>
-		</dict>
-		<string>{{20, 20}, {94, 20}}</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>39</integer>
-			</dict>
-			<key>NSAlternateContents</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>38</integer>
-			</dict>
-			<key>NSAlternateImage</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>37</integer>
-			</dict>
-			<key>NSButtonFlags</key>
-			<integer>-2038021889</integer>
-			<key>NSButtonFlags2</key>
-			<integer>32</integer>
-			<key>NSCellFlags</key>
-			<integer>67239424</integer>
-			<key>NSCellFlags2</key>
-			<integer>134348800</integer>
-			<key>NSContents</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>44</integer>
-			</dict>
-			<key>NSControlView</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>41</integer>
-			</dict>
-			<key>NSKeyEquivalent</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>38</integer>
-			</dict>
-			<key>NSPeriodicDelay</key>
-			<integer>400</integer>
-			<key>NSPeriodicInterval</key>
-			<integer>75</integer>
-			<key>NSSupport</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>34</integer>
-			</dict>
-		</dict>
-		<string>Print</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSMutableArray</string>
-				<string>NSArray</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSMutableArray</string>
-		</dict>
-		<string>{{1, 9}, {600, 500}}</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSView</string>
-				<string>NSResponder</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSView</string>
-		</dict>
-		<string>{{0, 0}, {1024, 746}}</string>
-		<string>{213, 129}</string>
-		<string>{3.40282e+38, 3.40282e+38}</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSWindowTemplate</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSWindowTemplate</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>45</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>53</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>58</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>60</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>63</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>65</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>67</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>57</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>15</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>56</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>5</integer>
-			</dict>
-			<key>NSClassName</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>55</integer>
-			</dict>
-		</dict>
-		<string>MatplotlibController</string>
-		<string>plotView</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSNibOutletConnector</string>
-				<string>NSNibConnector</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSNibOutletConnector</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>57</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>8</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>59</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-		</dict>
-		<string>plotWindow</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>62</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>61</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>30</integer>
-			</dict>
-		</dict>
-		<string>saveFigure:</string>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSNibControlConnector</string>
-				<string>NSNibConnector</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSNibControlConnector</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>57</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>64</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>8</integer>
-			</dict>
-		</dict>
-		<string>delegate</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>57</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>66</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>2</integer>
-			</dict>
-		</dict>
-		<string>delegate</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>62</integer>
-			</dict>
-			<key>NSDestination</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>54</integer>
-			</dict>
-			<key>NSLabel</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>68</integer>
-			</dict>
-			<key>NSSource</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>41</integer>
-			</dict>
-		</dict>
-		<string>printFigure:</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>41</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>54</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>13</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>30</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>8</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>15</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSArray</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSArray</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>13</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>2</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>8</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>13</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>2</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>13</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>54</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>8</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>2</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>74</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>75</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>76</integer>
-				</dict>
-			</array>
-		</dict>
-		<string>MatplotlibController</string>
-		<string>Window</string>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>4</integer>
-			</dict>
-			<key>NS.string</key>
-			<string>File's Owner</string>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>15</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>16</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>63</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>54</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>60</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>30</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>67</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>8</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>53</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>41</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>13</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>65</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>15</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>58</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>2</integer>
-				</dict>
-			</array>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array>
-				<dict>
-					<key>CF$UID</key>
-					<integer>81</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>82</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>83</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>84</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>85</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>86</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>87</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>88</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>89</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>90</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>91</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>92</integer>
-				</dict>
-				<dict>
-					<key>CF$UID</key>
-					<integer>93</integer>
-				</dict>
-			</array>
-		</dict>
-		<integer>258</integer>
-		<integer>248</integer>
-		<integer>251</integer>
-		<integer>247</integer>
-		<integer>261</integer>
-		<integer>21</integer>
-		<integer>249</integer>
-		<integer>260</integer>
-		<integer>2</integer>
-		<integer>259</integer>
-		<integer>246</integer>
-		<integer>250</integer>
-		<integer>1</integer>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>45</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array/>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array/>
-		</dict>
-		<dict>
-			<key>$class</key>
-			<dict>
-				<key>CF$UID</key>
-				<integer>70</integer>
-			</dict>
-			<key>NS.objects</key>
-			<array/>
-		</dict>
-		<dict>
-			<key>$classes</key>
-			<array>
-				<string>NSIBObjectData</string>
-				<string>NSObject</string>
-			</array>
-			<key>$classname</key>
-			<string>NSIBObjectData</string>
-		</dict>
-	</array>
-	<key>$top</key>
-	<dict>
-		<key>IB.objectdata</key>
-		<dict>
-			<key>CF$UID</key>
-			<integer>1</integer>
-		</dict>
-	</dict>
-	<key>$version</key>
-	<integer>100000</integer>
-</dict>
-</plist>
diff --git a/lib/matplotlib/backends/__init__.py b/lib/matplotlib/backends/__init__.py
index cf80dc0f9ff5..cf0f682d5d4b 100644
--- a/lib/matplotlib/backends/__init__.py
+++ b/lib/matplotlib/backends/__init__.py
@@ -1,62 +1,5 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from .registry import BackendFilter, backend_registry  # noqa: F401
 
-import six
-
-import matplotlib
-import inspect
-import warnings
-
-# ipython relies on interactive_bk being defined here
-from matplotlib.rcsetup import interactive_bk
-
-__all__ = ['backend','show','draw_if_interactive',
-           'new_figure_manager', 'backend_version']
-
-backend = matplotlib.get_backend() # validates, to match all_backends
-
-def pylab_setup():
-    'return new_figure_manager, draw_if_interactive and show for pylab'
-    # Import the requested backend into a generic module object
-
-    if backend.startswith('module://'):
-        backend_name = backend[9:]
-    else:
-        backend_name = 'backend_'+backend
-        backend_name = backend_name.lower() # until we banish mixed case
-        backend_name = 'matplotlib.backends.%s'%backend_name.lower()
-
-    # the last argument is specifies whether to use absolute or relative
-    # imports. 0 means only perform absolute imports.
-    backend_mod = __import__(backend_name,
-                             globals(),locals(),[backend_name],0)
-
-    # Things we pull in from all backends
-    new_figure_manager = backend_mod.new_figure_manager
-
-    # image backends like pdf, agg or svg do not need to do anything
-    # for "show" or "draw_if_interactive", so if they are not defined
-    # by the backend, just do nothing
-    def do_nothing_show(*args, **kwargs):
-        frame = inspect.currentframe()
-        fname = frame.f_back.f_code.co_filename
-        if fname in ('<stdin>', '<ipython console>'):
-            warnings.warn("""
-Your currently selected backend, '%s' does not support show().
-Please select a GUI backend in your matplotlibrc file ('%s')
-or with matplotlib.use()""" %
-                          (backend, matplotlib.matplotlib_fname()))
-    def do_nothing(*args, **kwargs): pass
-    backend_version = getattr(backend_mod,'backend_version', 'unknown')
-    show = getattr(backend_mod, 'show', do_nothing_show)
-    draw_if_interactive = getattr(backend_mod, 'draw_if_interactive', do_nothing)
-
-    # Additional imports which only happen for certain backends.  This section
-    # should probably disappear once all backends are uniform.
-    if backend.lower() in ['wx','wxagg']:
-        Toolbar = backend_mod.Toolbar
-        __all__.append('Toolbar')
-
-    matplotlib.verbose.report('backend %s version %s' % (backend,backend_version))
-
-    return backend_mod, new_figure_manager, draw_if_interactive, show
+# NOTE: plt.switch_backend() (called at import time) will add a "backend"
+# attribute here for backcompat.
+_QT_FORCE_QT5_BINDING = False
diff --git a/lib/matplotlib/backends/_backend_agg.pyi b/lib/matplotlib/backends/_backend_agg.pyi
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/lib/matplotlib/backends/_backend_gtk.py b/lib/matplotlib/backends/_backend_gtk.py
new file mode 100644
index 000000000000..ac443730e28a
--- /dev/null
+++ b/lib/matplotlib/backends/_backend_gtk.py
@@ -0,0 +1,331 @@
+"""
+Common code for GTK3 and GTK4 backends.
+"""
+
+import logging
+import sys
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook
+from matplotlib._pylab_helpers import Gcf
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    TimerBase)
+from matplotlib.backend_tools import Cursors
+
+import gi
+# The GTK3/GTK4 backends will have already called `gi.require_version` to set
+# the desired GTK.
+from gi.repository import Gdk, Gio, GLib, Gtk
+
+
+try:
+    gi.require_foreign("cairo")
+except ImportError as e:
+    raise ImportError("Gtk-based backends require cairo") from e
+
+_log = logging.getLogger(__name__)
+_application = None  # Placeholder
+
+
+def _shutdown_application(app):
+    # The application might prematurely shut down if Ctrl-C'd out of IPython,
+    # so close all windows.
+    for win in app.get_windows():
+        win.close()
+    # The PyGObject wrapper incorrectly thinks that None is not allowed, or we
+    # would call this:
+    # Gio.Application.set_default(None)
+    # Instead, we set this property and ignore default applications with it:
+    app._created_by_matplotlib = True
+    global _application
+    _application = None
+
+
+def _create_application():
+    global _application
+
+    if _application is None:
+        app = Gio.Application.get_default()
+        if app is None or getattr(app, '_created_by_matplotlib', False):
+            # display_is_valid returns False only if on Linux and neither X11
+            # nor Wayland display can be opened.
+            if not mpl._c_internal_utils.display_is_valid():
+                raise RuntimeError('Invalid DISPLAY variable')
+            _application = Gtk.Application.new('org.matplotlib.Matplotlib3',
+                                               Gio.ApplicationFlags.NON_UNIQUE)
+            # The activate signal must be connected, but we don't care for
+            # handling it, since we don't do any remote processing.
+            _application.connect('activate', lambda *args, **kwargs: None)
+            _application.connect('shutdown', _shutdown_application)
+            _application.register()
+            cbook._setup_new_guiapp()
+        else:
+            _application = app
+
+    return _application
+
+
+def mpl_to_gtk_cursor_name(mpl_cursor):
+    return _api.check_getitem({
+        Cursors.MOVE: "move",
+        Cursors.HAND: "pointer",
+        Cursors.POINTER: "default",
+        Cursors.SELECT_REGION: "crosshair",
+        Cursors.WAIT: "wait",
+        Cursors.RESIZE_HORIZONTAL: "ew-resize",
+        Cursors.RESIZE_VERTICAL: "ns-resize",
+    }, cursor=mpl_cursor)
+
+
+class TimerGTK(TimerBase):
+    """Subclass of `.TimerBase` using GTK timer events."""
+
+    def __init__(self, *args, **kwargs):
+        self._timer = None
+        super().__init__(*args, **kwargs)
+
+    def _timer_start(self):
+        # Need to stop it, otherwise we potentially leak a timer id that will
+        # never be stopped.
+        self._timer_stop()
+        self._timer = GLib.timeout_add(self._interval, self._on_timer)
+
+    def _timer_stop(self):
+        if self._timer is not None:
+            GLib.source_remove(self._timer)
+            self._timer = None
+
+    def _timer_set_interval(self):
+        # Only stop and restart it if the timer has already been started.
+        if self._timer is not None:
+            self._timer_stop()
+            self._timer_start()
+
+    def _on_timer(self):
+        super()._on_timer()
+
+        # Gtk timeout_add() requires that the callback returns True if it
+        # is to be called again.
+        if self.callbacks and not self._single:
+            return True
+        else:
+            self._timer = None
+            return False
+
+
+class _FigureCanvasGTK(FigureCanvasBase):
+    _timer_cls = TimerGTK
+
+
+class _FigureManagerGTK(FigureManagerBase):
+    """
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        The FigureCanvas instance
+    num : int or str
+        The Figure number
+    toolbar : Gtk.Toolbar or Gtk.Box
+        The toolbar
+    vbox : Gtk.VBox
+        The Gtk.VBox containing the canvas and toolbar
+    window : Gtk.Window
+        The Gtk.Window
+    """
+
+    def __init__(self, canvas, num):
+        self._gtk_ver = gtk_ver = Gtk.get_major_version()
+
+        app = _create_application()
+        self.window = Gtk.Window()
+        app.add_window(self.window)
+        super().__init__(canvas, num)
+
+        if gtk_ver == 3:
+            icon_ext = "png" if sys.platform == "win32" else "svg"
+            self.window.set_icon_from_file(
+                str(cbook._get_data_path(f"images/matplotlib.{icon_ext}")))
+
+        self.vbox = Gtk.Box()
+        self.vbox.set_property("orientation", Gtk.Orientation.VERTICAL)
+
+        if gtk_ver == 3:
+            self.window.add(self.vbox)
+            self.vbox.show()
+            self.canvas.show()
+            self.vbox.pack_start(self.canvas, True, True, 0)
+        elif gtk_ver == 4:
+            self.window.set_child(self.vbox)
+            self.vbox.prepend(self.canvas)
+
+        # calculate size for window
+        w, h = self.canvas.get_width_height()
+
+        if self.toolbar is not None:
+            if gtk_ver == 3:
+                self.toolbar.show()
+                self.vbox.pack_end(self.toolbar, False, False, 0)
+            elif gtk_ver == 4:
+                sw = Gtk.ScrolledWindow(vscrollbar_policy=Gtk.PolicyType.NEVER)
+                sw.set_child(self.toolbar)
+                self.vbox.append(sw)
+            min_size, nat_size = self.toolbar.get_preferred_size()
+            h += nat_size.height
+
+        self.window.set_default_size(w, h)
+
+        self._destroying = False
+        self.window.connect("destroy", lambda *args: Gcf.destroy(self))
+        self.window.connect({3: "delete_event", 4: "close-request"}[gtk_ver],
+                            lambda *args: Gcf.destroy(self))
+        if mpl.is_interactive():
+            self.window.show()
+            self.canvas.draw_idle()
+
+        self.canvas.grab_focus()
+
+    def destroy(self, *args):
+        if self._destroying:
+            # Otherwise, this can be called twice when the user presses 'q',
+            # which calls Gcf.destroy(self), then this destroy(), then triggers
+            # Gcf.destroy(self) once again via
+            # `connect("destroy", lambda *args: Gcf.destroy(self))`.
+            return
+        self._destroying = True
+        self.window.destroy()
+        self.canvas.destroy()
+
+    @classmethod
+    def start_main_loop(cls):
+        global _application
+        if _application is None:
+            return
+
+        try:
+            _application.run()  # Quits when all added windows close.
+        except KeyboardInterrupt:
+            # Ensure all windows can process their close event from
+            # _shutdown_application.
+            context = GLib.MainContext.default()
+            while context.pending():
+                context.iteration(True)
+            raise
+        finally:
+            # Running after quit is undefined, so create a new one next time.
+            _application = None
+
+    def show(self):
+        # show the figure window
+        self.window.show()
+        self.canvas.draw()
+        if mpl.rcParams["figure.raise_window"]:
+            meth_name = {3: "get_window", 4: "get_surface"}[self._gtk_ver]
+            if getattr(self.window, meth_name)():
+                self.window.present()
+            else:
+                # If this is called by a callback early during init,
+                # self.window (a GtkWindow) may not have an associated
+                # low-level GdkWindow (on GTK3) or GdkSurface (on GTK4) yet,
+                # and present() would crash.
+                _api.warn_external("Cannot raise window yet to be setup")
+
+    def full_screen_toggle(self):
+        is_fullscreen = {
+            3: lambda w: (w.get_window().get_state()
+                          & Gdk.WindowState.FULLSCREEN),
+            4: lambda w: w.is_fullscreen(),
+        }[self._gtk_ver]
+        if is_fullscreen(self.window):
+            self.window.unfullscreen()
+        else:
+            self.window.fullscreen()
+
+    def get_window_title(self):
+        return self.window.get_title()
+
+    def set_window_title(self, title):
+        self.window.set_title(title)
+
+    def resize(self, width, height):
+        width = int(width / self.canvas.device_pixel_ratio)
+        height = int(height / self.canvas.device_pixel_ratio)
+        if self.toolbar:
+            min_size, nat_size = self.toolbar.get_preferred_size()
+            height += nat_size.height
+        canvas_size = self.canvas.get_allocation()
+        if self._gtk_ver >= 4 or canvas_size.width == canvas_size.height == 1:
+            # A canvas size of (1, 1) cannot exist in most cases, because
+            # window decorations would prevent such a small window. This call
+            # must be before the window has been mapped and widgets have been
+            # sized, so just change the window's starting size.
+            self.window.set_default_size(width, height)
+        else:
+            self.window.resize(width, height)
+
+
+class _NavigationToolbar2GTK(NavigationToolbar2):
+    # Must be implemented in GTK3/GTK4 backends:
+    # * __init__
+    # * save_figure
+
+    def set_message(self, s):
+        escaped = GLib.markup_escape_text(s)
+        self.message.set_markup(f'<small>{escaped}</small>')
+
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        height = self.canvas.figure.bbox.height
+        y1 = height - y1
+        y0 = height - y0
+        rect = [int(val) for val in (x0, y0, x1 - x0, y1 - y0)]
+        self.canvas._draw_rubberband(rect)
+
+    def remove_rubberband(self):
+        self.canvas._draw_rubberband(None)
+
+    def _update_buttons_checked(self):
+        for name, active in [("Pan", "PAN"), ("Zoom", "ZOOM")]:
+            button = self._gtk_ids.get(name)
+            if button:
+                with button.handler_block(button._signal_handler):
+                    button.set_active(self.mode.name == active)
+
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
+
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
+
+    def set_history_buttons(self):
+        can_backward = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if 'Back' in self._gtk_ids:
+            self._gtk_ids['Back'].set_sensitive(can_backward)
+        if 'Forward' in self._gtk_ids:
+            self._gtk_ids['Forward'].set_sensitive(can_forward)
+
+
+class RubberbandGTK(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        _NavigationToolbar2GTK.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
+
+    def remove_rubberband(self):
+        _NavigationToolbar2GTK.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
+
+
+class ConfigureSubplotsGTK(backend_tools.ConfigureSubplotsBase):
+    def trigger(self, *args):
+        _NavigationToolbar2GTK.configure_subplots(self, None)
+
+
+class _BackendGTK(_Backend):
+    backend_version = "{}.{}.{}".format(
+        Gtk.get_major_version(),
+        Gtk.get_minor_version(),
+        Gtk.get_micro_version(),
+    )
+    mainloop = _FigureManagerGTK.start_main_loop
diff --git a/lib/matplotlib/backends/_backend_pdf_ps.py b/lib/matplotlib/backends/_backend_pdf_ps.py
new file mode 100644
index 000000000000..a2a878d54156
--- /dev/null
+++ b/lib/matplotlib/backends/_backend_pdf_ps.py
@@ -0,0 +1,189 @@
+"""
+Common functionality between the PDF and PS backends.
+"""
+
+from io import BytesIO
+import functools
+import logging
+
+from fontTools import subset
+
+import matplotlib as mpl
+from .. import font_manager, ft2font
+from .._afm import AFM
+from ..backend_bases import RendererBase
+
+
+@functools.lru_cache(50)
+def _cached_get_afm_from_fname(fname):
+    with open(fname, "rb") as fh:
+        return AFM(fh)
+
+
+def get_glyphs_subset(fontfile, characters):
+    """
+    Subset a TTF font
+
+    Reads the named fontfile and restricts the font to the characters.
+
+    Parameters
+    ----------
+    fontfile : str
+        Path to the font file
+    characters : str
+        Continuous set of characters to include in subset
+
+    Returns
+    -------
+    fontTools.ttLib.ttFont.TTFont
+        An open font object representing the subset, which needs to
+        be closed by the caller.
+    """
+
+    options = subset.Options(glyph_names=True, recommended_glyphs=True)
+
+    # Prevent subsetting extra tables.
+    options.drop_tables += [
+        'FFTM',  # FontForge Timestamp.
+        'PfEd',  # FontForge personal table.
+        'BDF',  # X11 BDF header.
+        'meta',  # Metadata stores design/supported languages (meaningless for subsets).
+        'MERG',  # Merge Table.
+        'TSIV',  # Microsoft Visual TrueType extension.
+        'Zapf',  # Information about the individual glyphs in the font.
+        'bdat',  # The bitmap data table.
+        'bloc',  # The bitmap location table.
+        'cidg',  # CID to Glyph ID table (Apple Advanced Typography).
+        'fdsc',  # The font descriptors table.
+        'feat',  # Feature name table (Apple Advanced Typography).
+        'fmtx',  # The Font Metrics Table.
+        'fond',  # Data-fork font information (Apple Advanced Typography).
+        'just',  # The justification table (Apple Advanced Typography).
+        'kerx',  # An extended kerning table (Apple Advanced Typography).
+        'ltag',  # Language Tag.
+        'morx',  # Extended Glyph Metamorphosis Table.
+        'trak',  # Tracking table.
+        'xref',  # The cross-reference table (some Apple font tooling information).
+    ]
+    # if fontfile is a ttc, specify font number
+    if fontfile.endswith(".ttc"):
+        options.font_number = 0
+
+    font = subset.load_font(fontfile, options)
+    subsetter = subset.Subsetter(options=options)
+    subsetter.populate(text=characters)
+    subsetter.subset(font)
+    return font
+
+
+def font_as_file(font):
+    """
+    Convert a TTFont object into a file-like object.
+
+    Parameters
+    ----------
+    font : fontTools.ttLib.ttFont.TTFont
+        A font object
+
+    Returns
+    -------
+    BytesIO
+        A file object with the font saved into it
+    """
+    fh = BytesIO()
+    font.save(fh, reorderTables=False)
+    return fh
+
+
+class CharacterTracker:
+    """
+    Helper for font subsetting by the pdf and ps backends.
+
+    Maintains a mapping of font paths to the set of character codepoints that
+    are being used from that font.
+    """
+
+    def __init__(self):
+        self.used = {}
+
+    def track(self, font, s):
+        """Record that string *s* is being typeset using font *font*."""
+        char_to_font = font._get_fontmap(s)
+        for _c, _f in char_to_font.items():
+            self.used.setdefault(_f.fname, set()).add(ord(_c))
+
+    def track_glyph(self, font, glyph):
+        """Record that codepoint *glyph* is being typeset using font *font*."""
+        self.used.setdefault(font.fname, set()).add(glyph)
+
+
+class RendererPDFPSBase(RendererBase):
+    # The following attributes must be defined by the subclasses:
+    # - _afm_font_dir
+    # - _use_afm_rc_name
+
+    def __init__(self, width, height):
+        super().__init__()
+        self.width = width
+        self.height = height
+
+    def flipy(self):
+        # docstring inherited
+        return False  # y increases from bottom to top.
+
+    def option_scale_image(self):
+        # docstring inherited
+        return True  # PDF and PS support arbitrary image scaling.
+
+    def option_image_nocomposite(self):
+        # docstring inherited
+        # Decide whether to composite image based on rcParam value.
+        return not mpl.rcParams["image.composite_image"]
+
+    def get_canvas_width_height(self):
+        # docstring inherited
+        return self.width * 72.0, self.height * 72.0
+
+    def get_text_width_height_descent(self, s, prop, ismath):
+        # docstring inherited
+        if ismath == "TeX":
+            return super().get_text_width_height_descent(s, prop, ismath)
+        elif ismath:
+            parse = self._text2path.mathtext_parser.parse(s, 72, prop)
+            return parse.width, parse.height, parse.depth
+        elif mpl.rcParams[self._use_afm_rc_name]:
+            font = self._get_font_afm(prop)
+            l, b, w, h, d = font.get_str_bbox_and_descent(s)
+            scale = prop.get_size_in_points() / 1000
+            w *= scale
+            h *= scale
+            d *= scale
+            return w, h, d
+        else:
+            font = self._get_font_ttf(prop)
+            font.set_text(s, 0.0, flags=ft2font.LoadFlags.NO_HINTING)
+            w, h = font.get_width_height()
+            d = font.get_descent()
+            scale = 1 / 64
+            w *= scale
+            h *= scale
+            d *= scale
+            return w, h, d
+
+    def _get_font_afm(self, prop):
+        fname = font_manager.findfont(
+            prop, fontext="afm", directory=self._afm_font_dir)
+        return _cached_get_afm_from_fname(fname)
+
+    def _get_font_ttf(self, prop):
+        fnames = font_manager.fontManager._find_fonts_by_props(prop)
+        try:
+            font = font_manager.get_font(fnames)
+            font.clear()
+            font.set_size(prop.get_size_in_points(), 72)
+            return font
+        except RuntimeError:
+            logging.getLogger(__name__).warning(
+                "The PostScript/PDF backend does not currently "
+                "support the selected font (%s).", fnames)
+            raise
diff --git a/lib/matplotlib/backends/_backend_tk.py b/lib/matplotlib/backends/_backend_tk.py
new file mode 100644
index 000000000000..0bbff1379ffa
--- /dev/null
+++ b/lib/matplotlib/backends/_backend_tk.py
@@ -0,0 +1,1077 @@
+import uuid
+import weakref
+from contextlib import contextmanager
+import logging
+import math
+import os.path
+import pathlib
+import sys
+import tkinter as tk
+import tkinter.filedialog
+import tkinter.font
+import tkinter.messagebox
+from tkinter.simpledialog import SimpleDialog
+
+import numpy as np
+from PIL import Image, ImageTk
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook, _c_internal_utils
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    TimerBase, ToolContainerBase, cursors, _Mode, MouseButton,
+    CloseEvent, KeyEvent, LocationEvent, MouseEvent, ResizeEvent)
+from matplotlib._pylab_helpers import Gcf
+from . import _tkagg
+from ._tkagg import TK_PHOTO_COMPOSITE_OVERLAY, TK_PHOTO_COMPOSITE_SET
+
+
+_log = logging.getLogger(__name__)
+cursord = {
+    cursors.MOVE: "fleur",
+    cursors.HAND: "hand2",
+    cursors.POINTER: "arrow",
+    cursors.SELECT_REGION: "crosshair",
+    cursors.WAIT: "watch",
+    cursors.RESIZE_HORIZONTAL: "sb_h_double_arrow",
+    cursors.RESIZE_VERTICAL: "sb_v_double_arrow",
+}
+
+
+@contextmanager
+def _restore_foreground_window_at_end():
+    foreground = _c_internal_utils.Win32_GetForegroundWindow()
+    try:
+        yield
+    finally:
+        if foreground and mpl.rcParams['tk.window_focus']:
+            _c_internal_utils.Win32_SetForegroundWindow(foreground)
+
+
+_blit_args = {}
+# Initialize to a non-empty string that is not a Tcl command
+_blit_tcl_name = "mpl_blit_" + uuid.uuid4().hex
+
+
+def _blit(argsid):
+    """
+    Thin wrapper to blit called via tkapp.call.
+
+    *argsid* is a unique string identifier to fetch the correct arguments from
+    the ``_blit_args`` dict, since arguments cannot be passed directly.
+    """
+    photoimage, data, offsets, bbox, comp_rule = _blit_args.pop(argsid)
+    if not photoimage.tk.call("info", "commands", photoimage):
+        return
+    _tkagg.blit(photoimage.tk.interpaddr(), str(photoimage), data, comp_rule, offsets,
+                bbox)
+
+
+def blit(photoimage, aggimage, offsets, bbox=None):
+    """
+    Blit *aggimage* to *photoimage*.
+
+    *offsets* is a tuple describing how to fill the ``offset`` field of the
+    ``Tk_PhotoImageBlock`` struct: it should be (0, 1, 2, 3) for RGBA8888 data,
+    (2, 1, 0, 3) for little-endian ARBG32 (i.e. GBRA8888) data and (1, 2, 3, 0)
+    for big-endian ARGB32 (i.e. ARGB8888) data.
+
+    If *bbox* is passed, it defines the region that gets blitted. That region
+    will be composed with the previous data according to the alpha channel.
+    Blitting will be clipped to pixels inside the canvas, including silently
+    doing nothing if the *bbox* region is entirely outside the canvas.
+
+    Tcl events must be dispatched to trigger a blit from a non-Tcl thread.
+    """
+    data = np.asarray(aggimage)
+    height, width = data.shape[:2]
+    if bbox is not None:
+        (x1, y1), (x2, y2) = bbox.__array__()
+        x1 = max(math.floor(x1), 0)
+        x2 = min(math.ceil(x2), width)
+        y1 = max(math.floor(y1), 0)
+        y2 = min(math.ceil(y2), height)
+        if (x1 > x2) or (y1 > y2):
+            return
+        bboxptr = (x1, x2, y1, y2)
+        comp_rule = TK_PHOTO_COMPOSITE_OVERLAY
+    else:
+        bboxptr = (0, width, 0, height)
+        comp_rule = TK_PHOTO_COMPOSITE_SET
+
+    # NOTE: _tkagg.blit is thread unsafe and will crash the process if called
+    # from a thread (GH#13293). Instead of blanking and blitting here,
+    # use tkapp.call to post a cross-thread event if this function is called
+    # from a non-Tcl thread.
+
+    # tkapp.call coerces all arguments to strings, so to avoid string parsing
+    # within _blit, pack up the arguments into a global data structure.
+    args = photoimage, data, offsets, bboxptr, comp_rule
+    # Need a unique key to avoid thread races.
+    # Again, make the key a string to avoid string parsing in _blit.
+    argsid = str(id(args))
+    _blit_args[argsid] = args
+
+    try:
+        photoimage.tk.call(_blit_tcl_name, argsid)
+    except tk.TclError as e:
+        if "invalid command name" not in str(e):
+            raise
+        photoimage.tk.createcommand(_blit_tcl_name, _blit)
+        photoimage.tk.call(_blit_tcl_name, argsid)
+
+
+class TimerTk(TimerBase):
+    """Subclass of `backend_bases.TimerBase` using Tk timer events."""
+
+    def __init__(self, parent, *args, **kwargs):
+        self._timer = None
+        super().__init__(*args, **kwargs)
+        self.parent = parent
+
+    def _timer_start(self):
+        self._timer_stop()
+        self._timer = self.parent.after(self._interval, self._on_timer)
+
+    def _timer_stop(self):
+        if self._timer is not None:
+            self.parent.after_cancel(self._timer)
+        self._timer = None
+
+    def _on_timer(self):
+        super()._on_timer()
+        # Tk after() is only a single shot, so we need to add code here to
+        # reset the timer if we're not operating in single shot mode.  However,
+        # if _timer is None, this means that _timer_stop has been called; so
+        # don't recreate the timer in that case.
+        if not self._single and self._timer:
+            if self._interval > 0:
+                self._timer = self.parent.after(self._interval, self._on_timer)
+            else:
+                # Edge case: Tcl after 0 *prepends* events to the queue
+                # so a 0 interval does not allow any other events to run.
+                # This incantation is cancellable and runs as fast as possible
+                # while also allowing events and drawing every frame. GH#18236
+                self._timer = self.parent.after_idle(
+                    lambda: self.parent.after(self._interval, self._on_timer)
+                )
+        else:
+            self._timer = None
+
+
+class FigureCanvasTk(FigureCanvasBase):
+    required_interactive_framework = "tk"
+    manager_class = _api.classproperty(lambda cls: FigureManagerTk)
+
+    def __init__(self, figure=None, master=None):
+        super().__init__(figure)
+        self._idle_draw_id = None
+        self._event_loop_id = None
+        w, h = self.get_width_height(physical=True)
+        self._tkcanvas = tk.Canvas(
+            master=master, background="white",
+            width=w, height=h, borderwidth=0, highlightthickness=0)
+        self._tkphoto = tk.PhotoImage(
+            master=self._tkcanvas, width=w, height=h)
+        self._tkcanvas_image_region = self._tkcanvas.create_image(
+            w//2, h//2, image=self._tkphoto)
+        self._tkcanvas.bind("<Configure>", self.resize)
+        self._tkcanvas.bind("<Map>", self._update_device_pixel_ratio)
+        self._tkcanvas.bind("<Key>", self.key_press)
+        self._tkcanvas.bind("<Motion>", self.motion_notify_event)
+        self._tkcanvas.bind("<Enter>", self.enter_notify_event)
+        self._tkcanvas.bind("<Leave>", self.leave_notify_event)
+        self._tkcanvas.bind("<KeyRelease>", self.key_release)
+        for name in ["<Button-1>", "<Button-2>", "<Button-3>"]:
+            self._tkcanvas.bind(name, self.button_press_event)
+        for name in [
+                "<Double-Button-1>", "<Double-Button-2>", "<Double-Button-3>"]:
+            self._tkcanvas.bind(name, self.button_dblclick_event)
+        for name in [
+                "<ButtonRelease-1>", "<ButtonRelease-2>", "<ButtonRelease-3>"]:
+            self._tkcanvas.bind(name, self.button_release_event)
+
+        # Mouse wheel on Linux generates button 4/5 events
+        for name in "<Button-4>", "<Button-5>":
+            self._tkcanvas.bind(name, self.scroll_event)
+        # Mouse wheel for windows goes to the window with the focus.
+        # Since the canvas won't usually have the focus, bind the
+        # event to the window containing the canvas instead.
+        # See https://wiki.tcl-lang.org/3893 (mousewheel) for details
+        root = self._tkcanvas.winfo_toplevel()
+
+        # Prevent long-lived references via tkinter callback structure GH-24820
+        weakself = weakref.ref(self)
+        weakroot = weakref.ref(root)
+
+        def scroll_event_windows(event):
+            self = weakself()
+            if self is None:
+                root = weakroot()
+                if root is not None:
+                    root.unbind("<MouseWheel>", scroll_event_windows_id)
+                return
+            return self.scroll_event_windows(event)
+        scroll_event_windows_id = root.bind("<MouseWheel>", scroll_event_windows, "+")
+
+        # Can't get destroy events by binding to _tkcanvas. Therefore, bind
+        # to the window and filter.
+        def filter_destroy(event):
+            self = weakself()
+            if self is None:
+                root = weakroot()
+                if root is not None:
+                    root.unbind("<Destroy>", filter_destroy_id)
+                return
+            if event.widget is self._tkcanvas:
+                CloseEvent("close_event", self)._process()
+        filter_destroy_id = root.bind("<Destroy>", filter_destroy, "+")
+
+        self._tkcanvas.focus_set()
+
+        self._rubberband_rect_black = None
+        self._rubberband_rect_white = None
+
+    def _update_device_pixel_ratio(self, event=None):
+        ratio = None
+        if sys.platform == 'win32':
+            # Tk gives scaling with respect to 72 DPI, but Windows screens are
+            # scaled vs 96 dpi, and pixel ratio settings are given in whole
+            # percentages, so round to 2 digits.
+            ratio = round(self._tkcanvas.tk.call('tk', 'scaling') / (96 / 72), 2)
+        elif sys.platform == "linux":
+            ratio = self._tkcanvas.winfo_fpixels('1i') / 96
+        if ratio is not None and self._set_device_pixel_ratio(ratio):
+            # The easiest way to resize the canvas is to resize the canvas
+            # widget itself, since we implement all the logic for resizing the
+            # canvas backing store on that event.
+            w, h = self.get_width_height(physical=True)
+            self._tkcanvas.configure(width=w, height=h)
+
+    def resize(self, event):
+        width, height = event.width, event.height
+
+        # compute desired figure size in inches
+        dpival = self.figure.dpi
+        winch = width / dpival
+        hinch = height / dpival
+        self.figure.set_size_inches(winch, hinch, forward=False)
+
+        self._tkcanvas.delete(self._tkcanvas_image_region)
+        self._tkphoto.configure(width=int(width), height=int(height))
+        self._tkcanvas_image_region = self._tkcanvas.create_image(
+            int(width / 2), int(height / 2), image=self._tkphoto)
+        ResizeEvent("resize_event", self)._process()
+        self.draw_idle()
+
+    def draw_idle(self):
+        # docstring inherited
+        if self._idle_draw_id:
+            return
+
+        def idle_draw(*args):
+            try:
+                self.draw()
+            finally:
+                self._idle_draw_id = None
+
+        self._idle_draw_id = self._tkcanvas.after_idle(idle_draw)
+
+    def get_tk_widget(self):
+        """
+        Return the Tk widget used to implement FigureCanvasTkAgg.
+
+        Although the initial implementation uses a Tk canvas,  this routine
+        is intended to hide that fact.
+        """
+        return self._tkcanvas
+
+    def _event_mpl_coords(self, event):
+        # calling canvasx/canvasy allows taking scrollbars into account (i.e.
+        # the top of the widget may have been scrolled out of view).
+        return (self._tkcanvas.canvasx(event.x),
+                # flipy so y=0 is bottom of canvas
+                self.figure.bbox.height - self._tkcanvas.canvasy(event.y))
+
+    def motion_notify_event(self, event):
+        MouseEvent("motion_notify_event", self,
+                   *self._event_mpl_coords(event),
+                   buttons=self._mpl_buttons(event),
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def enter_notify_event(self, event):
+        LocationEvent("figure_enter_event", self,
+                      *self._event_mpl_coords(event),
+                      modifiers=self._mpl_modifiers(event),
+                      guiEvent=event)._process()
+
+    def leave_notify_event(self, event):
+        LocationEvent("figure_leave_event", self,
+                      *self._event_mpl_coords(event),
+                      modifiers=self._mpl_modifiers(event),
+                      guiEvent=event)._process()
+
+    def button_press_event(self, event, dblclick=False):
+        # set focus to the canvas so that it can receive keyboard events
+        self._tkcanvas.focus_set()
+
+        num = getattr(event, 'num', None)
+        if sys.platform == 'darwin':  # 2 and 3 are reversed.
+            num = {2: 3, 3: 2}.get(num, num)
+        MouseEvent("button_press_event", self,
+                   *self._event_mpl_coords(event), num, dblclick=dblclick,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def button_dblclick_event(self, event):
+        self.button_press_event(event, dblclick=True)
+
+    def button_release_event(self, event):
+        num = getattr(event, 'num', None)
+        if sys.platform == 'darwin':  # 2 and 3 are reversed.
+            num = {2: 3, 3: 2}.get(num, num)
+        MouseEvent("button_release_event", self,
+                   *self._event_mpl_coords(event), num,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def scroll_event(self, event):
+        num = getattr(event, 'num', None)
+        step = 1 if num == 4 else -1 if num == 5 else 0
+        MouseEvent("scroll_event", self,
+                   *self._event_mpl_coords(event), step=step,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def scroll_event_windows(self, event):
+        """MouseWheel event processor"""
+        # need to find the window that contains the mouse
+        w = event.widget.winfo_containing(event.x_root, event.y_root)
+        if w != self._tkcanvas:
+            return
+        x = self._tkcanvas.canvasx(event.x_root - w.winfo_rootx())
+        y = (self.figure.bbox.height
+             - self._tkcanvas.canvasy(event.y_root - w.winfo_rooty()))
+        step = event.delta / 120
+        MouseEvent("scroll_event", self,
+                   x, y, step=step, modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    @staticmethod
+    def _mpl_buttons(event):  # See _mpl_modifiers.
+        # NOTE: This fails to report multiclicks on macOS; only one button is
+        # reported (multiclicks work correctly on Linux & Windows).
+        modifiers = [
+            # macOS appears to swap right and middle (look for "Swap buttons
+            # 2/3" in tk/macosx/tkMacOSXMouseEvent.c).
+            (MouseButton.LEFT, 1 << 8),
+            (MouseButton.RIGHT, 1 << 9),
+            (MouseButton.MIDDLE, 1 << 10),
+            (MouseButton.BACK, 1 << 11),
+            (MouseButton.FORWARD, 1 << 12),
+        ] if sys.platform == "darwin" else [
+            (MouseButton.LEFT, 1 << 8),
+            (MouseButton.MIDDLE, 1 << 9),
+            (MouseButton.RIGHT, 1 << 10),
+            (MouseButton.BACK, 1 << 11),
+            (MouseButton.FORWARD, 1 << 12),
+        ]
+        # State *before* press/release.
+        return [name for name, mask in modifiers if event.state & mask]
+
+    @staticmethod
+    def _mpl_modifiers(event, *, exclude=None):
+        # Add modifier keys to the key string. Bit values are inferred from
+        # the implementation of tkinter.Event.__repr__ (1, 2, 4, 8, ... =
+        # Shift, Lock, Control, Mod1, ..., Mod5, Button1, ..., Button5)
+        # In general, the modifier key is excluded from the modifier flag,
+        # however this is not the case on "darwin", so double check that
+        # we aren't adding repeat modifier flags to a modifier key.
+        modifiers = [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 17, "alt"),
+            ("shift", 1 << 0, "shift"),
+        ] if sys.platform == "win32" else [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 4, "alt"),
+            ("shift", 1 << 0, "shift"),
+            ("cmd", 1 << 3, "cmd"),
+        ] if sys.platform == "darwin" else [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 3, "alt"),
+            ("shift", 1 << 0, "shift"),
+            ("super", 1 << 6, "super"),
+        ]
+        return [name for name, mask, key in modifiers
+                if event.state & mask and exclude != key]
+
+    def _get_key(self, event):
+        unikey = event.char
+        key = cbook._unikey_or_keysym_to_mplkey(unikey, event.keysym)
+        if key is not None:
+            mods = self._mpl_modifiers(event, exclude=key)
+            # shift is not added to the keys as this is already accounted for.
+            if "shift" in mods and unikey:
+                mods.remove("shift")
+            return "+".join([*mods, key])
+
+    def key_press(self, event):
+        KeyEvent("key_press_event", self,
+                 self._get_key(event), *self._event_mpl_coords(event),
+                 guiEvent=event)._process()
+
+    def key_release(self, event):
+        KeyEvent("key_release_event", self,
+                 self._get_key(event), *self._event_mpl_coords(event),
+                 guiEvent=event)._process()
+
+    def new_timer(self, *args, **kwargs):
+        # docstring inherited
+        return TimerTk(self._tkcanvas, *args, **kwargs)
+
+    def flush_events(self):
+        # docstring inherited
+        self._tkcanvas.update()
+
+    def start_event_loop(self, timeout=0):
+        # docstring inherited
+        if timeout > 0:
+            milliseconds = int(1000 * timeout)
+            if milliseconds > 0:
+                self._event_loop_id = self._tkcanvas.after(
+                    milliseconds, self.stop_event_loop)
+            else:
+                self._event_loop_id = self._tkcanvas.after_idle(
+                    self.stop_event_loop)
+        self._tkcanvas.mainloop()
+
+    def stop_event_loop(self):
+        # docstring inherited
+        if self._event_loop_id:
+            self._tkcanvas.after_cancel(self._event_loop_id)
+            self._event_loop_id = None
+        self._tkcanvas.quit()
+
+    def set_cursor(self, cursor):
+        try:
+            self._tkcanvas.configure(cursor=cursord[cursor])
+        except tkinter.TclError:
+            pass
+
+
+class FigureManagerTk(FigureManagerBase):
+    """
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        The FigureCanvas instance
+    num : int or str
+        The Figure number
+    toolbar : tk.Toolbar
+        The tk.Toolbar
+    window : tk.Window
+        The tk.Window
+    """
+
+    _owns_mainloop = False
+
+    def __init__(self, canvas, num, window):
+        self.window = window
+        super().__init__(canvas, num)
+        self.window.withdraw()
+        # packing toolbar first, because if space is getting low, last packed
+        # widget is getting shrunk first (-> the canvas)
+        self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
+
+        # If the window has per-monitor DPI awareness, then setup a Tk variable
+        # to store the DPI, which will be updated by the C code, and the trace
+        # will handle it on the Python side.
+        window_frame = int(window.wm_frame(), 16)
+        self._window_dpi = tk.IntVar(master=window, value=96,
+                                     name=f'window_dpi{window_frame}')
+        self._window_dpi_cbname = ''
+        if _tkagg.enable_dpi_awareness(window_frame, window.tk.interpaddr()):
+            self._window_dpi_cbname = self._window_dpi.trace_add(
+                'write', self._update_window_dpi)
+
+        self._shown = False
+
+    @classmethod
+    def create_with_canvas(cls, canvas_class, figure, num):
+        # docstring inherited
+        with _restore_foreground_window_at_end():
+            if cbook._get_running_interactive_framework() is None:
+                cbook._setup_new_guiapp()
+                _c_internal_utils.Win32_SetProcessDpiAwareness_max()
+            window = tk.Tk(className="matplotlib")
+            window.withdraw()
+
+            # Put a Matplotlib icon on the window rather than the default tk
+            # icon. See https://www.tcl.tk/man/tcl/TkCmd/wm.html#M50
+            #
+            # `ImageTk` can be replaced with `tk` whenever the minimum
+            # supported Tk version is increased to 8.6, as Tk 8.6+ natively
+            # supports PNG images.
+            icon_fname = str(cbook._get_data_path(
+                'images/matplotlib.png'))
+            icon_img = ImageTk.PhotoImage(file=icon_fname, master=window)
+
+            icon_fname_large = str(cbook._get_data_path(
+                'images/matplotlib_large.png'))
+            icon_img_large = ImageTk.PhotoImage(
+                file=icon_fname_large, master=window)
+
+            window.iconphoto(False, icon_img_large, icon_img)
+
+            canvas = canvas_class(figure, master=window)
+            manager = cls(canvas, num, window)
+            if mpl.is_interactive():
+                manager.show()
+                canvas.draw_idle()
+            return manager
+
+    @classmethod
+    def start_main_loop(cls):
+        managers = Gcf.get_all_fig_managers()
+        if managers:
+            first_manager = managers[0]
+            manager_class = type(first_manager)
+            if manager_class._owns_mainloop:
+                return
+            manager_class._owns_mainloop = True
+            try:
+                first_manager.window.mainloop()
+            finally:
+                manager_class._owns_mainloop = False
+
+    def _update_window_dpi(self, *args):
+        newdpi = self._window_dpi.get()
+        self.window.call('tk', 'scaling', newdpi / 72)
+        if self.toolbar and hasattr(self.toolbar, '_rescale'):
+            self.toolbar._rescale()
+        self.canvas._update_device_pixel_ratio()
+
+    def resize(self, width, height):
+        max_size = 1_400_000  # the measured max on xorg 1.20.8 was 1_409_023
+
+        if (width > max_size or height > max_size) and sys.platform == 'linux':
+            raise ValueError(
+                'You have requested to resize the '
+                f'Tk window to ({width}, {height}), one of which '
+                f'is bigger than {max_size}.  At larger sizes xorg will '
+                'either exit with an error on newer versions (~1.20) or '
+                'cause corruption on older version (~1.19).  We '
+                'do not expect a window over a million pixel wide or tall '
+                'to be intended behavior.')
+        self.canvas._tkcanvas.configure(width=width, height=height)
+
+    def show(self):
+        with _restore_foreground_window_at_end():
+            if not self._shown:
+                def destroy(*args):
+                    Gcf.destroy(self)
+                self.window.protocol("WM_DELETE_WINDOW", destroy)
+                self.window.deiconify()
+                self.canvas._tkcanvas.focus_set()
+            else:
+                self.canvas.draw_idle()
+            if mpl.rcParams['figure.raise_window']:
+                self.canvas.manager.window.attributes('-topmost', 1)
+                self.canvas.manager.window.attributes('-topmost', 0)
+            self._shown = True
+
+    def destroy(self, *args):
+        if self.canvas._idle_draw_id:
+            self.canvas._tkcanvas.after_cancel(self.canvas._idle_draw_id)
+        if self.canvas._event_loop_id:
+            self.canvas._tkcanvas.after_cancel(self.canvas._event_loop_id)
+        if self._window_dpi_cbname:
+            self._window_dpi.trace_remove('write', self._window_dpi_cbname)
+
+        # NOTE: events need to be flushed before issuing destroy (GH #9956),
+        # however, self.window.update() can break user code. An async callback
+        # is the safest way to achieve a complete draining of the event queue,
+        # but it leaks if no tk event loop is running. Therefore we explicitly
+        # check for an event loop and choose our best guess.
+        def delayed_destroy():
+            self.window.destroy()
+
+            if self._owns_mainloop and not Gcf.get_num_fig_managers():
+                self.window.quit()
+
+        if cbook._get_running_interactive_framework() == "tk":
+            # "after idle after 0" avoids Tcl error/race (GH #19940)
+            self.window.after_idle(self.window.after, 0, delayed_destroy)
+        else:
+            self.window.update()
+            delayed_destroy()
+
+    def get_window_title(self):
+        return self.window.wm_title()
+
+    def set_window_title(self, title):
+        self.window.wm_title(title)
+
+    def full_screen_toggle(self):
+        is_fullscreen = bool(self.window.attributes('-fullscreen'))
+        self.window.attributes('-fullscreen', not is_fullscreen)
+
+
+class NavigationToolbar2Tk(NavigationToolbar2, tk.Frame):
+    def __init__(self, canvas, window=None, *, pack_toolbar=True):
+        """
+        Parameters
+        ----------
+        canvas : `FigureCanvas`
+            The figure canvas on which to operate.
+        window : tk.Window
+            The tk.Window which owns this toolbar.
+        pack_toolbar : bool, default: True
+            If True, add the toolbar to the parent's pack manager's packing
+            list during initialization with ``side="bottom"`` and ``fill="x"``.
+            If you want to use the toolbar with a different layout manager, use
+            ``pack_toolbar=False``.
+        """
+
+        if window is None:
+            window = canvas.get_tk_widget().master
+        tk.Frame.__init__(self, master=window, borderwidth=2,
+                          width=int(canvas.figure.bbox.width), height=50)
+
+        self._buttons = {}
+        for text, tooltip_text, image_file, callback in self.toolitems:
+            if text is None:
+                # Add a spacer; return value is unused.
+                self._Spacer()
+            else:
+                self._buttons[text] = button = self._Button(
+                    text,
+                    str(cbook._get_data_path(f"images/{image_file}.png")),
+                    toggle=callback in ["zoom", "pan"],
+                    command=getattr(self, callback),
+                )
+                if tooltip_text is not None:
+                    add_tooltip(button, tooltip_text)
+
+        self._label_font = tkinter.font.Font(root=window, size=10)
+
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = tk.Label(master=self, font=self._label_font,
+                         text='\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}')
+        label.pack(side=tk.RIGHT)
+
+        self.message = tk.StringVar(master=self)
+        self._message_label = tk.Label(master=self, font=self._label_font,
+                                       textvariable=self.message,
+                                       justify=tk.RIGHT)
+        self._message_label.pack(side=tk.RIGHT)
+
+        NavigationToolbar2.__init__(self, canvas)
+        if pack_toolbar:
+            self.pack(side=tk.BOTTOM, fill=tk.X)
+
+    def _rescale(self):
+        """
+        Scale all children of the toolbar to current DPI setting.
+
+        Before this is called, the Tk scaling setting will have been updated to
+        match the new DPI. Tk widgets do not update for changes to scaling, but
+        all measurements made after the change will match the new scaling. Thus
+        this function re-applies all the same sizes in points, which Tk will
+        scale correctly to pixels.
+        """
+        for widget in self.winfo_children():
+            if isinstance(widget, (tk.Button, tk.Checkbutton)):
+                if hasattr(widget, '_image_file'):
+                    # Explicit class because ToolbarTk calls _rescale.
+                    NavigationToolbar2Tk._set_image_for_button(self, widget)
+                else:
+                    # Text-only button is handled by the font setting instead.
+                    pass
+            elif isinstance(widget, tk.Frame):
+                widget.configure(height='18p')
+                widget.pack_configure(padx='3p')
+            elif isinstance(widget, tk.Label):
+                pass  # Text is handled by the font setting instead.
+            else:
+                _log.warning('Unknown child class %s', widget.winfo_class)
+        self._label_font.configure(size=10)
+
+    def _update_buttons_checked(self):
+        # sync button checkstates to match active mode
+        for text, mode in [('Zoom', _Mode.ZOOM), ('Pan', _Mode.PAN)]:
+            if text in self._buttons:
+                if self.mode == mode:
+                    self._buttons[text].select()  # NOT .invoke()
+                else:
+                    self._buttons[text].deselect()
+
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
+
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
+
+    def set_message(self, s):
+        self.message.set(s)
+
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        # Block copied from remove_rubberband for backend_tools convenience.
+        if self.canvas._rubberband_rect_white:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_white)
+        if self.canvas._rubberband_rect_black:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_black)
+        height = self.canvas.figure.bbox.height
+        y0 = height - y0
+        y1 = height - y1
+        self.canvas._rubberband_rect_black = (
+            self.canvas._tkcanvas.create_rectangle(
+                x0, y0, x1, y1))
+        self.canvas._rubberband_rect_white = (
+            self.canvas._tkcanvas.create_rectangle(
+                x0, y0, x1, y1, outline='white', dash=(3, 3)))
+
+    def remove_rubberband(self):
+        if self.canvas._rubberband_rect_white:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_white)
+            self.canvas._rubberband_rect_white = None
+        if self.canvas._rubberband_rect_black:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_black)
+            self.canvas._rubberband_rect_black = None
+
+    def _set_image_for_button(self, button):
+        """
+        Set the image for a button based on its pixel size.
+
+        The pixel size is determined by the DPI scaling of the window.
+        """
+        if button._image_file is None:
+            return
+
+        # Allow _image_file to be relative to Matplotlib's "images" data
+        # directory.
+        path_regular = cbook._get_data_path('images', button._image_file)
+        path_large = path_regular.with_name(
+            path_regular.name.replace('.png', '_large.png'))
+        size = button.winfo_pixels('18p')
+
+        # Nested functions because ToolbarTk calls  _Button.
+        def _get_color(color_name):
+            # `winfo_rgb` returns an (r, g, b) tuple in the range 0-65535
+            return button.winfo_rgb(button.cget(color_name))
+
+        def _is_dark(color):
+            if isinstance(color, str):
+                color = _get_color(color)
+            return max(color) < 65535 / 2
+
+        def _recolor_icon(image, color):
+            image_data = np.asarray(image).copy()
+            black_mask = (image_data[..., :3] == 0).all(axis=-1)
+            image_data[black_mask, :3] = color
+            return Image.fromarray(image_data, mode="RGBA")
+
+        # Use the high-resolution (48x48 px) icon if it exists and is needed
+        with Image.open(path_large if (size > 24 and path_large.exists())
+                        else path_regular) as im:
+            # assure a RGBA image as foreground color is RGB
+            im = im.convert("RGBA")
+            image = ImageTk.PhotoImage(im.resize((size, size)), master=self)
+            button._ntimage = image
+
+            # create a version of the icon with the button's text color
+            foreground = (255 / 65535) * np.array(
+                button.winfo_rgb(button.cget("foreground")))
+            im_alt = _recolor_icon(im, foreground)
+            image_alt = ImageTk.PhotoImage(
+                im_alt.resize((size, size)), master=self)
+            button._ntimage_alt = image_alt
+
+        if _is_dark("background"):
+            # For Checkbuttons, we need to set `image` and `selectimage` at
+            # the same time. Otherwise, when updating the `image` option
+            # (such as when changing DPI), if the old `selectimage` has
+            # just been overwritten, Tk will throw an error.
+            image_kwargs = {"image": image_alt}
+        else:
+            image_kwargs = {"image": image}
+        # Checkbuttons may switch the background to `selectcolor` in the
+        # checked state, so check separately which image it needs to use in
+        # that state to still ensure enough contrast with the background.
+        if (
+            isinstance(button, tk.Checkbutton)
+            and button.cget("selectcolor") != ""
+        ):
+            if self._windowingsystem != "x11":
+                selectcolor = "selectcolor"
+            else:
+                # On X11, selectcolor isn't used directly for indicator-less
+                # buttons. See `::tk::CheckEnter` in the Tk button.tcl source
+                # code for details.
+                r1, g1, b1 = _get_color("selectcolor")
+                r2, g2, b2 = _get_color("activebackground")
+                selectcolor = ((r1+r2)/2, (g1+g2)/2, (b1+b2)/2)
+            if _is_dark(selectcolor):
+                image_kwargs["selectimage"] = image_alt
+            else:
+                image_kwargs["selectimage"] = image
+
+        button.configure(**image_kwargs, height='18p', width='18p')
+
+    def _Button(self, text, image_file, toggle, command):
+        if not toggle:
+            b = tk.Button(
+                master=self, text=text, command=command,
+                relief="flat", overrelief="groove", borderwidth=1,
+            )
+        else:
+            # There is a bug in tkinter included in some python 3.6 versions
+            # that without this variable, produces a "visual" toggling of
+            # other near checkbuttons
+            # https://bugs.python.org/issue29402
+            # https://bugs.python.org/issue25684
+            var = tk.IntVar(master=self)
+            b = tk.Checkbutton(
+                master=self, text=text, command=command, indicatoron=False,
+                variable=var, offrelief="flat", overrelief="groove",
+                borderwidth=1
+            )
+            b.var = var
+        b._image_file = image_file
+        if image_file is not None:
+            # Explicit class because ToolbarTk calls _Button.
+            NavigationToolbar2Tk._set_image_for_button(self, b)
+        else:
+            b.configure(font=self._label_font)
+        b.pack(side=tk.LEFT)
+        return b
+
+    def _Spacer(self):
+        # Buttons are also 18pt high.
+        s = tk.Frame(master=self, height='18p', relief=tk.RIDGE, bg='DarkGray')
+        s.pack(side=tk.LEFT, padx='3p')
+        return s
+
+    def save_figure(self, *args):
+        filetypes = self.canvas.get_supported_filetypes_grouped()
+        tk_filetypes = [
+            (name, " ".join(f"*.{ext}" for ext in exts))
+            for name, exts in sorted(filetypes.items())
+        ]
+
+        default_extension = self.canvas.get_default_filetype()
+        default_filetype = self.canvas.get_supported_filetypes()[default_extension]
+        filetype_variable = tk.StringVar(self.canvas.get_tk_widget(), default_filetype)
+
+        # adding a default extension seems to break the
+        # asksaveasfilename dialog when you choose various save types
+        # from the dropdown.  Passing in the empty string seems to
+        # work - JDH!
+        # defaultextension = self.canvas.get_default_filetype()
+        defaultextension = ''
+        initialdir = os.path.expanduser(mpl.rcParams['savefig.directory'])
+        # get_default_filename() contains the default extension. On some platforms,
+        # choosing a different extension from the dropdown does not overwrite it,
+        # so we need to remove it to make the dropdown functional.
+        initialfile = pathlib.Path(self.canvas.get_default_filename()).stem
+        fname = tkinter.filedialog.asksaveasfilename(
+            master=self.canvas.get_tk_widget().master,
+            title='Save the figure',
+            filetypes=tk_filetypes,
+            defaultextension=defaultextension,
+            initialdir=initialdir,
+            initialfile=initialfile,
+            typevariable=filetype_variable
+            )
+
+        if fname in ["", ()]:
+            return None
+        # Save dir for next time, unless empty str (i.e., use cwd).
+        if initialdir != "":
+            mpl.rcParams['savefig.directory'] = (
+                os.path.dirname(str(fname)))
+
+        # If the filename contains an extension, let savefig() infer the file
+        # format from that. If it does not, use the selected dropdown option.
+        if pathlib.Path(fname).suffix[1:] != "":
+            extension = None
+        else:
+            extension = filetypes[filetype_variable.get()][0]
+
+        try:
+            self.canvas.figure.savefig(fname, format=extension)
+            return fname
+        except Exception as e:
+            tkinter.messagebox.showerror("Error saving file", str(e))
+
+    def set_history_buttons(self):
+        state_map = {True: tk.NORMAL, False: tk.DISABLED}
+        can_back = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if "Back" in self._buttons:
+            self._buttons['Back']['state'] = state_map[can_back]
+        if "Forward" in self._buttons:
+            self._buttons['Forward']['state'] = state_map[can_forward]
+
+
+def add_tooltip(widget, text):
+    tipwindow = None
+
+    def showtip(event):
+        """Display text in tooltip window."""
+        nonlocal tipwindow
+        if tipwindow or not text:
+            return
+        x, y, _, _ = widget.bbox("insert")
+        x = x + widget.winfo_rootx() + widget.winfo_width()
+        y = y + widget.winfo_rooty()
+        tipwindow = tk.Toplevel(widget)
+        tipwindow.overrideredirect(1)
+        tipwindow.geometry(f"+{x}+{y}")
+        try:  # For Mac OS
+            tipwindow.tk.call("::tk::unsupported::MacWindowStyle",
+                              "style", tipwindow._w,
+                              "help", "noActivates")
+        except tk.TclError:
+            pass
+        label = tk.Label(tipwindow, text=text, justify=tk.LEFT,
+                         relief=tk.SOLID, borderwidth=1)
+        label.pack(ipadx=1)
+
+    def hidetip(event):
+        nonlocal tipwindow
+        if tipwindow:
+            tipwindow.destroy()
+        tipwindow = None
+
+    widget.bind("<Enter>", showtip)
+    widget.bind("<Leave>", hidetip)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class RubberbandTk(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        NavigationToolbar2Tk.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
+
+    def remove_rubberband(self):
+        NavigationToolbar2Tk.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
+
+
+class ToolbarTk(ToolContainerBase, tk.Frame):
+    def __init__(self, toolmanager, window=None):
+        ToolContainerBase.__init__(self, toolmanager)
+        if window is None:
+            window = self.toolmanager.canvas.get_tk_widget().master
+        xmin, xmax = self.toolmanager.canvas.figure.bbox.intervalx
+        height, width = 50, xmax - xmin
+        tk.Frame.__init__(self, master=window,
+                          width=int(width), height=int(height),
+                          borderwidth=2)
+        self._label_font = tkinter.font.Font(size=10)
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = tk.Label(master=self, font=self._label_font,
+                         text='\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}')
+        label.pack(side=tk.RIGHT)
+        self._message = tk.StringVar(master=self)
+        self._message_label = tk.Label(master=self, font=self._label_font,
+                                       textvariable=self._message)
+        self._message_label.pack(side=tk.RIGHT)
+        self._toolitems = {}
+        self.pack(side=tk.TOP, fill=tk.X)
+        self._groups = {}
+
+    def _rescale(self):
+        return NavigationToolbar2Tk._rescale(self)
+
+    def add_toolitem(
+            self, name, group, position, image_file, description, toggle):
+        frame = self._get_groupframe(group)
+        buttons = frame.pack_slaves()
+        if position >= len(buttons) or position < 0:
+            before = None
+        else:
+            before = buttons[position]
+        button = NavigationToolbar2Tk._Button(frame, name, image_file, toggle,
+                                              lambda: self._button_click(name))
+        button.pack_configure(before=before)
+        if description is not None:
+            add_tooltip(button, description)
+        self._toolitems.setdefault(name, [])
+        self._toolitems[name].append(button)
+
+    def _get_groupframe(self, group):
+        if group not in self._groups:
+            if self._groups:
+                self._add_separator()
+            frame = tk.Frame(master=self, borderwidth=0)
+            frame.pack(side=tk.LEFT, fill=tk.Y)
+            frame._label_font = self._label_font
+            self._groups[group] = frame
+        return self._groups[group]
+
+    def _add_separator(self):
+        return NavigationToolbar2Tk._Spacer(self)
+
+    def _button_click(self, name):
+        self.trigger_tool(name)
+
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for toolitem in self._toolitems[name]:
+            if toggled:
+                toolitem.select()
+            else:
+                toolitem.deselect()
+
+    def remove_toolitem(self, name):
+        for toolitem in self._toolitems.pop(name, []):
+            toolitem.pack_forget()
+
+    def set_message(self, s):
+        self._message.set(s)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class SaveFigureTk(backend_tools.SaveFigureBase):
+    def trigger(self, *args):
+        NavigationToolbar2Tk.save_figure(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class ConfigureSubplotsTk(backend_tools.ConfigureSubplotsBase):
+    def trigger(self, *args):
+        NavigationToolbar2Tk.configure_subplots(self)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class HelpTk(backend_tools.ToolHelpBase):
+    def trigger(self, *args):
+        dialog = SimpleDialog(
+            self.figure.canvas._tkcanvas, self._get_help_text(), ["OK"])
+        dialog.done = lambda num: dialog.frame.master.withdraw()
+
+
+Toolbar = ToolbarTk
+FigureManagerTk._toolbar2_class = NavigationToolbar2Tk
+FigureManagerTk._toolmanager_toolbar_class = ToolbarTk
+
+
+@_Backend.export
+class _BackendTk(_Backend):
+    backend_version = tk.TkVersion
+    FigureCanvas = FigureCanvasTk
+    FigureManager = FigureManagerTk
+    mainloop = FigureManagerTk.start_main_loop
diff --git a/lib/matplotlib/backends/_macosx.pyi b/lib/matplotlib/backends/_macosx.pyi
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/lib/matplotlib/backends/_tkagg.pyi b/lib/matplotlib/backends/_tkagg.pyi
new file mode 100644
index 000000000000..5c3f1112ec7c
--- /dev/null
+++ b/lib/matplotlib/backends/_tkagg.pyi
@@ -0,0 +1,15 @@
+import numpy as np
+from numpy.typing import NDArray
+
+TK_PHOTO_COMPOSITE_OVERLAY: int
+TK_PHOTO_COMPOSITE_SET: int
+
+def blit(
+    interp: int,
+    photo_name: str,
+    data: NDArray[np.uint8],
+    comp_rule: int,
+    offset: tuple[int, int, int, int],
+    bbox: tuple[int, int, int, int],
+) -> None: ...
+def enable_dpi_awareness(frame_handle: int, interp: int) -> bool | None: ...
diff --git a/lib/matplotlib/backends/backend_agg.py b/lib/matplotlib/backends/backend_agg.py
index c7a59be98ce8..b435ae565ce4 100644
--- a/lib/matplotlib/backends/backend_agg.py
+++ b/lib/matplotlib/backends/backend_agg.py
@@ -1,65 +1,57 @@
 """
-An agg http://antigrain.com/ backend
+An `Anti-Grain Geometry`_ (AGG) backend.
 
-Features that are implemented
+Features that are implemented:
 
- * capstyles and join styles
- * dashes
- * linewidth
- * lines, rectangles, ellipses
- * clipping to a rectangle
- * output to RGBA and PNG, optionally JPEG and TIFF
- * alpha blending
- * DPI scaling properly - everything scales properly (dashes, linewidths, etc)
- * draw polygon
- * freetype2 w/ ft2font
+* capstyles and join styles
+* dashes
+* linewidth
+* lines, rectangles, ellipses
+* clipping to a rectangle
+* output to RGBA and Pillow-supported image formats
+* alpha blending
+* DPI scaling properly - everything scales properly (dashes, linewidths, etc)
+* draw polygon
+* freetype2 w/ ft2font
 
-TODO:
+Still TODO:
 
-  * integrate screen dpi w/ ppi and text
+* integrate screen dpi w/ ppi and text
 
+.. _Anti-Grain Geometry: http://agg.sourceforge.net/antigrain.com
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+from contextlib import nullcontext
+from math import radians, cos, sin
 
-import threading
 import numpy as np
 
-from matplotlib import verbose, rcParams
-from matplotlib.backend_bases import RendererBase,\
-     FigureManagerBase, FigureCanvasBase
-from matplotlib.cbook import is_string_like, maxdict, restrict_dict
-from matplotlib.figure import Figure
-from matplotlib.font_manager import findfont
-from matplotlib.ft2font import FT2Font, LOAD_FORCE_AUTOHINT, LOAD_NO_HINTING, \
-     LOAD_DEFAULT, LOAD_NO_AUTOHINT
+import matplotlib as mpl
+from matplotlib import _api, cbook
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, RendererBase)
+from matplotlib.font_manager import fontManager as _fontManager, get_font
+from matplotlib.ft2font import LoadFlags
 from matplotlib.mathtext import MathTextParser
 from matplotlib.path import Path
 from matplotlib.transforms import Bbox, BboxBase
-
 from matplotlib.backends._backend_agg import RendererAgg as _RendererAgg
-from matplotlib import _png
-
-try:
-    from PIL import Image
-    _has_pil = True
-except ImportError:
-    _has_pil = False
 
-backend_version = 'v2.2'
 
 def get_hinting_flag():
     mapping = {
-        True: LOAD_FORCE_AUTOHINT,
-        False: LOAD_NO_HINTING,
-        'either': LOAD_DEFAULT,
-        'native': LOAD_NO_AUTOHINT,
-        'auto': LOAD_FORCE_AUTOHINT,
-        'none': LOAD_NO_HINTING
-        }
-    return mapping[rcParams['text.hinting']]
+        'default': LoadFlags.DEFAULT,
+        'no_autohint': LoadFlags.NO_AUTOHINT,
+        'force_autohint': LoadFlags.FORCE_AUTOHINT,
+        'no_hinting': LoadFlags.NO_HINTING,
+        True: LoadFlags.FORCE_AUTOHINT,
+        False: LoadFlags.NO_HINTING,
+        'either': LoadFlags.DEFAULT,
+        'native': LoadFlags.NO_AUTOHINT,
+        'auto': LoadFlags.FORCE_AUTOHINT,
+        'none': LoadFlags.NO_HINTING,
+    }
+    return mapping[mpl.rcParams['text.hinting']]
 
 
 class RendererAgg(RendererBase):
@@ -67,42 +59,20 @@ class RendererAgg(RendererBase):
     The renderer handles all the drawing primitives using a graphics
     context instance that controls the colors/styles
     """
-    debug=1
-
-    # we want to cache the fonts at the class level so that when
-    # multiple figures are created we can reuse them.  This helps with
-    # a bug on windows where the creation of too many figures leads to
-    # too many open file handles.  However, storing them at the class
-    # level is not thread safe.  The solution here is to let the
-    # FigureCanvas acquire a lock on the fontd at the start of the
-    # draw, and release it when it is done.  This allows multiple
-    # renderers to share the cached fonts, but only one figure can
-    # draw at at time and so the font cache is used by only one
-    # renderer at a time
-
-    lock = threading.RLock()
-    _fontd = maxdict(50)
+
     def __init__(self, width, height, dpi):
-        if __debug__: verbose.report('RendererAgg.__init__', 'debug-annoying')
-        RendererBase.__init__(self)
-        self.texd = maxdict(50)  # a cache of tex image rasters
+        super().__init__()
 
         self.dpi = dpi
         self.width = width
         self.height = height
-        if __debug__: verbose.report('RendererAgg.__init__ width=%s, height=%s'%(width, height), 'debug-annoying')
-        self._renderer = _RendererAgg(int(width), int(height), dpi, debug=False)
+        self._renderer = _RendererAgg(int(width), int(height), dpi)
         self._filter_renderers = []
 
-        if __debug__: verbose.report('RendererAgg.__init__ _RendererAgg done',
-                                     'debug-annoying')
-
         self._update_methods()
-        self.mathtext_parser = MathTextParser('Agg')
+        self.mathtext_parser = MathTextParser('agg')
 
         self.bbox = Bbox.from_bounds(0, 0, self.width, self.height)
-        if __debug__: verbose.report('RendererAgg.__init__ done',
-                                     'debug-annoying')
 
     def __getstate__(self):
         # We only want to preserve the init keywords of the Renderer.
@@ -112,230 +82,209 @@ def __getstate__(self):
     def __setstate__(self, state):
         self.__init__(state['width'], state['height'], state['dpi'])
 
-    def _get_hinting_flag(self):
-        if rcParams['text.hinting']:
-            return LOAD_FORCE_AUTOHINT
-        else:
-            return LOAD_NO_HINTING
-
-    # for filtering to work with rasterization, methods needs to be wrapped.
-    # maybe there is better way to do it.
-    def draw_markers(self, *kl, **kw):
-        return self._renderer.draw_markers(*kl, **kw)
-
-    def draw_path_collection(self, *kl, **kw):
-        return self._renderer.draw_path_collection(*kl, **kw)
-
     def _update_methods(self):
-        self.draw_quad_mesh = self._renderer.draw_quad_mesh
-        self.draw_gouraud_triangle = self._renderer.draw_gouraud_triangle
         self.draw_gouraud_triangles = self._renderer.draw_gouraud_triangles
         self.draw_image = self._renderer.draw_image
+        self.draw_markers = self._renderer.draw_markers
+        self.draw_path_collection = self._renderer.draw_path_collection
+        self.draw_quad_mesh = self._renderer.draw_quad_mesh
         self.copy_from_bbox = self._renderer.copy_from_bbox
-        self.get_content_extents = self._renderer.get_content_extents
-
-    def tostring_rgba_minimized(self):
-        extents = self.get_content_extents()
-        bbox = [[extents[0], self.height - (extents[1] + extents[3])],
-                [extents[0] + extents[2], self.height - extents[1]]]
-        region = self.copy_from_bbox(bbox)
-        return np.array(region), extents
 
     def draw_path(self, gc, path, transform, rgbFace=None):
-        """
-        Draw the path
-        """
-        nmax = rcParams['agg.path.chunksize'] # here at least for testing
+        # docstring inherited
+        nmax = mpl.rcParams['agg.path.chunksize']  # here at least for testing
         npts = path.vertices.shape[0]
-        if (nmax > 100 and npts > nmax and path.should_simplify and
+
+        if (npts > nmax > 100 and path.should_simplify and
                 rgbFace is None and gc.get_hatch() is None):
-            nch = np.ceil(npts/float(nmax))
-            chsize = int(np.ceil(npts/nch))
+            nch = np.ceil(npts / nmax)
+            chsize = int(np.ceil(npts / nch))
             i0 = np.arange(0, npts, chsize)
             i1 = np.zeros_like(i0)
             i1[:-1] = i0[1:] - 1
             i1[-1] = npts
             for ii0, ii1 in zip(i0, i1):
-                v = path.vertices[ii0:ii1,:]
+                v = path.vertices[ii0:ii1, :]
                 c = path.codes
                 if c is not None:
                     c = c[ii0:ii1]
-                    c[0] = Path.MOVETO # move to end of last chunk
+                    c[0] = Path.MOVETO  # move to end of last chunk
                 p = Path(v, c)
-                self._renderer.draw_path(gc, p, transform, rgbFace)
+                p.simplify_threshold = path.simplify_threshold
+                try:
+                    self._renderer.draw_path(gc, p, transform, rgbFace)
+                except OverflowError:
+                    msg = (
+                        "Exceeded cell block limit in Agg.\n\n"
+                        "Please reduce the value of "
+                        f"rcParams['agg.path.chunksize'] (currently {nmax}) "
+                        "or increase the path simplification threshold"
+                        "(rcParams['path.simplify_threshold'] = "
+                        f"{mpl.rcParams['path.simplify_threshold']:.2f} by "
+                        "default and path.simplify_threshold = "
+                        f"{path.simplify_threshold:.2f} on the input)."
+                    )
+                    raise OverflowError(msg) from None
         else:
-            self._renderer.draw_path(gc, path, transform, rgbFace)
+            try:
+                self._renderer.draw_path(gc, path, transform, rgbFace)
+            except OverflowError:
+                cant_chunk = ''
+                if rgbFace is not None:
+                    cant_chunk += "- cannot split filled path\n"
+                if gc.get_hatch() is not None:
+                    cant_chunk += "- cannot split hatched path\n"
+                if not path.should_simplify:
+                    cant_chunk += "- path.should_simplify is False\n"
+                if len(cant_chunk):
+                    msg = (
+                        "Exceeded cell block limit in Agg, however for the "
+                        "following reasons:\n\n"
+                        f"{cant_chunk}\n"
+                        "we cannot automatically split up this path to draw."
+                        "\n\nPlease manually simplify your path."
+                    )
+
+                else:
+                    inc_threshold = (
+                        "or increase the path simplification threshold"
+                        "(rcParams['path.simplify_threshold'] = "
+                        f"{mpl.rcParams['path.simplify_threshold']} "
+                        "by default and path.simplify_threshold "
+                        f"= {path.simplify_threshold} "
+                        "on the input)."
+                        )
+                    if nmax > 100:
+                        msg = (
+                            "Exceeded cell block limit in Agg.  Please reduce "
+                            "the value of rcParams['agg.path.chunksize'] "
+                            f"(currently {nmax}) {inc_threshold}"
+                        )
+                    else:
+                        msg = (
+                            "Exceeded cell block limit in Agg.  Please set "
+                            "the value of rcParams['agg.path.chunksize'], "
+                            f"(currently {nmax}) to be greater than 100 "
+                            + inc_threshold
+                        )
+
+                raise OverflowError(msg) from None
 
     def draw_mathtext(self, gc, x, y, s, prop, angle):
-        """
-        Draw the math text using matplotlib.mathtext
-        """
-        if __debug__: verbose.report('RendererAgg.draw_mathtext',
-                                     'debug-annoying')
-        ox, oy, width, height, descent, font_image, used_characters = \
-            self.mathtext_parser.parse(s, self.dpi, prop)
-
-        xd = descent * np.sin(np.deg2rad(angle))
-        yd = descent * np.cos(np.deg2rad(angle))
-        x = np.round(x + ox + xd)
-        y = np.round(y - oy + yd)
+        """Draw mathtext using :mod:`matplotlib.mathtext`."""
+        ox, oy, width, height, descent, font_image = \
+            self.mathtext_parser.parse(s, self.dpi, prop,
+                                       antialiased=gc.get_antialiased())
+
+        xd = descent * sin(radians(angle))
+        yd = descent * cos(radians(angle))
+        x = round(x + ox + xd)
+        y = round(y - oy + yd)
         self._renderer.draw_text_image(font_image, x, y + 1, angle, gc)
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        """
-        Render the text
-        """
-        if __debug__: verbose.report('RendererAgg.draw_text', 'debug-annoying')
-
+        # docstring inherited
         if ismath:
             return self.draw_mathtext(gc, x, y, s, prop, angle)
-
-        flags = get_hinting_flag()
-        font = self._get_agg_font(prop)
-        if font is None: return None
-        if len(s) == 1 and ord(s) > 127:
-            font.load_char(ord(s), flags=flags)
-        else:
-            # We pass '0' for angle here, since it will be rotated (in raster
-            # space) in the following call to draw_text_image).
-            font.set_text(s, 0, flags=flags)
-        font.draw_glyphs_to_bitmap(antialiased=rcParams['text.antialiased'])
+        font = self._prepare_font(prop)
+        # We pass '0' for angle here, since it will be rotated (in raster
+        # space) in the following call to draw_text_image).
+        font.set_text(s, 0, flags=get_hinting_flag())
+        font.draw_glyphs_to_bitmap(
+            antialiased=gc.get_antialiased())
         d = font.get_descent() / 64.0
-        # The descent needs to be adjusted for the angle
-        xd = -d * np.sin(np.deg2rad(angle))
-        yd = d * np.cos(np.deg2rad(angle))
-
-        #print x, y, int(x), int(y), s
-        self._renderer.draw_text_image(
-            font, np.round(x - xd), np.round(y + yd) + 1, angle, gc)
+        # The descent needs to be adjusted for the angle.
+        xo, yo = font.get_bitmap_offset()
+        xo /= 64.0
+        yo /= 64.0
+        xd = d * sin(radians(angle))
+        yd = d * cos(radians(angle))
+        x = round(x + xo + xd)
+        y = round(y + yo + yd)
+        self._renderer.draw_text_image(font, x, y + 1, angle, gc)
 
     def get_text_width_height_descent(self, s, prop, ismath):
-        """
-        get the width and height in display coords of the string s
-        with FontPropertry prop
+        # docstring inherited
 
-        # passing rgb is a little hack to make caching in the
-        # texmanager more efficient.  It is not meant to be used
-        # outside the backend
-        """
-        if rcParams['text.usetex']:
-            # todo: handle props
-            size = prop.get_size_in_points()
-            texmanager = self.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=self)
-            return w, h, d
+        _api.check_in_list(["TeX", True, False], ismath=ismath)
+        if ismath == "TeX":
+            return super().get_text_width_height_descent(s, prop, ismath)
 
         if ismath:
-            ox, oy, width, height, descent, fonts, used_characters = \
+            ox, oy, width, height, descent, font_image = \
                 self.mathtext_parser.parse(s, self.dpi, prop)
             return width, height, descent
 
-        flags = get_hinting_flag()
-        font = self._get_agg_font(prop)
-        font.set_text(s, 0.0, flags=flags)  # the width and height of unrotated string
-        w, h = font.get_width_height()
+        font = self._prepare_font(prop)
+        font.set_text(s, 0.0, flags=get_hinting_flag())
+        w, h = font.get_width_height()  # width and height of unrotated string
         d = font.get_descent()
         w /= 64.0  # convert from subpixels
         h /= 64.0
         d /= 64.0
         return w, h, d
 
-
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
         # todo, handle props, angle, origins
         size = prop.get_size_in_points()
 
         texmanager = self.get_texmanager()
-        key = s, size, self.dpi, angle, texmanager.get_font_config()
-        im = self.texd.get(key)
-        if im is None:
-            Z = texmanager.get_grey(s, size, self.dpi)
-            Z = np.array(Z * 255.0, np.uint8)
-
-        w, h, d = self.get_text_width_height_descent(s, prop, ismath)
-        xd = d * np.sin(np.deg2rad(angle))
-        yd = d * np.cos(np.deg2rad(angle))
-        x = np.round(x + xd)
-        y = np.round(y + yd)
 
+        Z = texmanager.get_grey(s, size, self.dpi)
+        Z = np.array(Z * 255.0, np.uint8)
+
+        w, h, d = self.get_text_width_height_descent(s, prop, ismath="TeX")
+        xd = d * sin(radians(angle))
+        yd = d * cos(radians(angle))
+        x = round(x + xd)
+        y = round(y + yd)
         self._renderer.draw_text_image(Z, x, y, angle, gc)
 
     def get_canvas_width_height(self):
-        'return the canvas width and height in display coords'
+        # docstring inherited
         return self.width, self.height
 
-    def _get_agg_font(self, prop):
+    def _prepare_font(self, font_prop):
         """
-        Get the font for text instance t, cacheing for efficiency
+        Get the `.FT2Font` for *font_prop*, clear its buffer, and set its size.
         """
-        if __debug__: verbose.report('RendererAgg._get_agg_font',
-                                     'debug-annoying')
-
-        key = hash(prop)
-        font = RendererAgg._fontd.get(key)
-
-        if font is None:
-            fname = findfont(prop)
-            font = RendererAgg._fontd.get(fname)
-            if font is None:
-                font = FT2Font(
-                    fname,
-                    hinting_factor=rcParams['text.hinting_factor'])
-                RendererAgg._fontd[fname] = font
-            RendererAgg._fontd[key] = font
-
+        font = get_font(_fontManager._find_fonts_by_props(font_prop))
         font.clear()
-        size = prop.get_size_in_points()
+        size = font_prop.get_size_in_points()
         font.set_size(size, self.dpi)
-
         return font
 
     def points_to_pixels(self, points):
-        """
-        convert point measures to pixes using dpi and the pixels per
-        inch of the display
-        """
-        if __debug__: verbose.report('RendererAgg.points_to_pixels',
-                                     'debug-annoying')
-        return points*self.dpi/72.0
+        # docstring inherited
+        return points * self.dpi / 72
 
-    def tostring_rgb(self):
-        if __debug__: verbose.report('RendererAgg.tostring_rgb',
-                                     'debug-annoying')
-        return self._renderer.tostring_rgb()
+    def buffer_rgba(self):
+        return memoryview(self._renderer)
 
     def tostring_argb(self):
-        if __debug__: verbose.report('RendererAgg.tostring_argb',
-                                     'debug-annoying')
-        return self._renderer.tostring_argb()
-
-    def buffer_rgba(self):
-        if __debug__: verbose.report('RendererAgg.buffer_rgba',
-                                     'debug-annoying')
-        return self._renderer.buffer_rgba()
+        return np.asarray(self._renderer).take([3, 0, 1, 2], axis=2).tobytes()
 
     def clear(self):
         self._renderer.clear()
 
     def option_image_nocomposite(self):
+        # docstring inherited
+
         # It is generally faster to composite each image directly to
         # the Figure, and there's no file size benefit to compositing
         # with the Agg backend
         return True
 
     def option_scale_image(self):
-        """
-        agg backend support arbitrary scaling of image.
-        """
-        return True
+        # docstring inherited
+        return False
 
     def restore_region(self, region, bbox=None, xy=None):
         """
         Restore the saved region. If bbox (instance of BboxBase, or
         its extents) is given, only the region specified by the bbox
-        will be restored. *xy* (a tuple of two floasts) optionally
+        will be restored. *xy* (a pair of floats) optionally
         specifies the new position (the LLC of the original region,
         not the LLC of the bbox) where the region will be restored.
 
@@ -358,14 +307,17 @@ def restore_region(self, region, bbox=None, xy=None):
             else:
                 ox, oy = xy
 
-            self._renderer.restore_region(region, x1, y1, x2, y2, ox, oy)
+            # The incoming data is float, but the _renderer type-checking wants
+            # to see integers.
+            self._renderer.restore_region(region, int(x1), int(y1),
+                                          int(x2), int(y2), int(ox), int(oy))
 
         else:
             self._renderer.restore_region(region)
 
     def start_filter(self):
         """
-        Start filtering. It simply create a new canvas (the old one is saved).
+        Start filtering. It simply creates a new canvas (the old one is saved).
         """
         self._filter_renderers.append(self._renderer)
         self._renderer = _RendererAgg(int(self.width), int(self.height),
@@ -374,8 +326,9 @@ def start_filter(self):
 
     def stop_filter(self, post_processing):
         """
-        Save the plot in the current canvas as a image and apply
-        the *post_processing* function.
+        Save the current canvas as an image and apply post processing.
+
+        The *post_processing* function::
 
            def post_processing(image, dpi):
              # ny, nx, depth = image.shape
@@ -389,66 +342,27 @@ def post_processing(image, dpi):
         The saved renderer is restored and the returned image from
         post_processing is plotted (using draw_image) on it.
         """
-
-        # WARNING.
-        # For agg_filter to work, the rendere's method need
-        # to overridden in the class. See draw_markers, and draw_path_collections
-
-        from matplotlib._image import fromarray
-
-        width, height = int(self.width), int(self.height)
-
-        buffer, bounds = self.tostring_rgba_minimized()
-
-        l, b, w, h = bounds
-
+        orig_img = np.asarray(self.buffer_rgba())
+        slice_y, slice_x = cbook._get_nonzero_slices(orig_img[..., 3])
+        cropped_img = orig_img[slice_y, slice_x]
 
         self._renderer = self._filter_renderers.pop()
         self._update_methods()
 
-        if w > 0 and h > 0:
-            img = np.fromstring(buffer, np.uint8)
-            img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
-                                          self.dpi)
-            image = fromarray(img, 1)
-
+        if cropped_img.size:
+            img, ox, oy = post_processing(cropped_img / 255, self.dpi)
             gc = self.new_gc()
-            self._renderer.draw_image(gc,
-                                      l+ox, height - b - h +oy,
-                                      image)
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    if __debug__: verbose.report('backend_agg.new_figure_manager',
-                                 'debug-annoying')
-
-
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasAgg(figure)
-    manager = FigureManagerBase(canvas, num)
-    return manager
+            if img.dtype.kind == 'f':
+                img = np.asarray(img * 255., np.uint8)
+            self._renderer.draw_image(
+                gc, slice_x.start + ox, int(self.height) - slice_y.stop + oy,
+                img[::-1])
 
 
 class FigureCanvasAgg(FigureCanvasBase):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
-
-    Public attribute
+    # docstring inherited
 
-      figure - A Figure instance
-    """
+    _lastKey = None  # Overwritten per-instance on the first draw.
 
     def copy_from_bbox(self, bbox):
         renderer = self.get_renderer()
@@ -459,138 +373,159 @@ def restore_region(self, region, bbox=None, xy=None):
         return renderer.restore_region(region, bbox, xy)
 
     def draw(self):
-        """
-        Draw the figure using the renderer
-        """
-        if __debug__: verbose.report('FigureCanvasAgg.draw', 'debug-annoying')
-
-        self.renderer = self.get_renderer(cleared=True)
-        # acquire a lock on the shared font cache
-        RendererAgg.lock.acquire()
-
-        try:
+        # docstring inherited
+        self.renderer = self.get_renderer()
+        self.renderer.clear()
+        # Acquire a lock on the shared font cache.
+        with (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar
+              else nullcontext()):
             self.figure.draw(self.renderer)
-        finally:
-            RendererAgg.lock.release()
+            # A GUI class may be need to update a window using this draw, so
+            # don't forget to call the superclass.
+            super().draw()
 
-    def get_renderer(self, cleared=False):
-        l, b, w, h = self.figure.bbox.bounds
+    def get_renderer(self):
+        w, h = self.figure.bbox.size
         key = w, h, self.figure.dpi
-        try: self._lastKey, self.renderer
-        except AttributeError: need_new_renderer = True
-        else:  need_new_renderer = (self._lastKey != key)
-
-        if need_new_renderer:
+        reuse_renderer = (self._lastKey == key)
+        if not reuse_renderer:
             self.renderer = RendererAgg(w, h, self.figure.dpi)
             self._lastKey = key
-        elif cleared:
-            self.renderer.clear()
         return self.renderer
 
-    def tostring_rgb(self):
-        if __debug__: verbose.report('FigureCanvasAgg.tostring_rgb',
-                                     'debug-annoying')
-        return self.renderer.tostring_rgb()
-
     def tostring_argb(self):
-        if __debug__: verbose.report('FigureCanvasAgg.tostring_argb',
-                                     'debug-annoying')
+        """
+        Get the image as ARGB `bytes`.
+
+        `draw` must be called at least once before this function will work and
+        to update the renderer for any subsequent changes to the Figure.
+        """
         return self.renderer.tostring_argb()
 
     def buffer_rgba(self):
-        if __debug__: verbose.report('FigureCanvasAgg.buffer_rgba',
-                                     'debug-annoying')
+        """
+        Get the image as a `memoryview` to the renderer's buffer.
+
+        `draw` must be called at least once before this function will work and
+        to update the renderer for any subsequent changes to the Figure.
+        """
         return self.renderer.buffer_rgba()
 
-    def print_raw(self, filename_or_obj, *args, **kwargs):
+    def print_raw(self, filename_or_obj, *, metadata=None):
+        if metadata is not None:
+            raise ValueError("metadata not supported for raw/rgba")
         FigureCanvasAgg.draw(self)
         renderer = self.get_renderer()
-        original_dpi = renderer.dpi
-        renderer.dpi = self.figure.dpi
-        if is_string_like(filename_or_obj):
-            fileobj = open(filename_or_obj, 'wb')
-            close = True
-        else:
-            fileobj = filename_or_obj
-            close = False
-        try:
-            fileobj.write(renderer._renderer.buffer_rgba())
-        finally:
-            if close:
-                filename_or_obj.close()
-        renderer.dpi = original_dpi
+        with cbook.open_file_cm(filename_or_obj, "wb") as fh:
+            fh.write(renderer.buffer_rgba())
+
     print_rgba = print_raw
 
-    def print_png(self, filename_or_obj, *args, **kwargs):
+    def _print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata=None):
+        """
+        Draw the canvas, then save it using `.image.imsave` (to which
+        *pil_kwargs* and *metadata* are forwarded).
+        """
         FigureCanvasAgg.draw(self)
-        renderer = self.get_renderer()
-        original_dpi = renderer.dpi
-        renderer.dpi = self.figure.dpi
-        if is_string_like(filename_or_obj):
-            filename_or_obj = open(filename_or_obj, 'wb')
-            close = True
-        else:
-            close = False
-        try:
-            _png.write_png(renderer._renderer, filename_or_obj, self.figure.dpi)
-        finally:
-            if close:
-                filename_or_obj.close()
-        renderer.dpi = original_dpi
+        mpl.image.imsave(
+            filename_or_obj, self.buffer_rgba(), format=fmt, origin="upper",
+            dpi=self.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs)
+
+    def print_png(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        """
+        Write the figure to a PNG file.
+
+        Parameters
+        ----------
+        filename_or_obj : str or path-like or file-like
+            The file to write to.
+
+        metadata : dict, optional
+            Metadata in the PNG file as key-value pairs of bytes or latin-1
+            encodable strings.
+            According to the PNG specification, keys must be shorter than 79
+            chars.
+
+            The `PNG specification`_ defines some common keywords that may be
+            used as appropriate:
+
+            - Title: Short (one line) title or caption for image.
+            - Author: Name of image's creator.
+            - Description: Description of image (possibly long).
+            - Copyright: Copyright notice.
+            - Creation Time: Time of original image creation
+              (usually RFC 1123 format).
+            - Software: Software used to create the image.
+            - Disclaimer: Legal disclaimer.
+            - Warning: Warning of nature of content.
+            - Source: Device used to create the image.
+            - Comment: Miscellaneous comment;
+              conversion from other image format.
+
+            Other keywords may be invented for other purposes.
+
+            If 'Software' is not given, an autogenerated value for Matplotlib
+            will be used.  This can be removed by setting it to *None*.
+
+            For more details see the `PNG specification`_.
+
+            .. _PNG specification: \
+                https://www.w3.org/TR/2003/REC-PNG-20031110/#11keywords
+
+        pil_kwargs : dict, optional
+            Keyword arguments passed to `PIL.Image.Image.save`.
+
+            If the 'pnginfo' key is present, it completely overrides
+            *metadata*, including the default 'Software' key.
+        """
+        self._print_pil(filename_or_obj, "png", pil_kwargs, metadata)
 
     def print_to_buffer(self):
         FigureCanvasAgg.draw(self)
         renderer = self.get_renderer()
-        original_dpi = renderer.dpi
-        renderer.dpi = self.figure.dpi
-        result = (renderer._renderer.buffer_rgba(),
-                  (int(renderer.width), int(renderer.height)))
-        renderer.dpi = original_dpi
-        return result
-
-    if _has_pil:
-
-        # add JPEG support
-        def print_jpg(self, filename_or_obj, *args, **kwargs):
-            """
-            Supported kwargs:
-
-            *quality*: The image quality, on a scale from 1 (worst) to
-                95 (best). The default is 95, if not given in the
-                matplotlibrc file in the savefig.jpeg_quality parameter.
-                Values above 95 should be avoided; 100 completely
-                disables the JPEG quantization stage.
-
-            *optimize*: If present, indicates that the encoder should
-                make an extra pass over the image in order to select
-                optimal encoder settings.
-
-            *progressive*: If present, indicates that this image
-                should be stored as a progressive JPEG file.
-            """
-            buf, size = self.print_to_buffer()
-            if kwargs.pop("dryrun", False):
-                return
-            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
-            options = restrict_dict(kwargs, ['quality', 'optimize',
-                                             'progressive'])
-
-            if 'quality' not in options:
-                options['quality'] = rcParams['savefig.jpeg_quality']
-
-            return image.save(filename_or_obj, format='jpeg', **options)
-        print_jpeg = print_jpg
-
-        # add TIFF support
-        def print_tif(self, filename_or_obj, *args, **kwargs):
-            buf, size = self.print_to_buffer()
-            if kwargs.pop("dryrun", False):
-                return
-            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
-            dpi = (self.figure.dpi, self.figure.dpi)
-            return image.save(filename_or_obj, format='tiff',
-                              dpi=dpi)
-        print_tiff = print_tif
-
-
-FigureCanvas = FigureCanvasAgg
+        return (bytes(renderer.buffer_rgba()),
+                (int(renderer.width), int(renderer.height)))
+
+    # Note that these methods should typically be called via savefig() and
+    # print_figure(), and the latter ensures that `self.figure.dpi` already
+    # matches the dpi kwarg (if any).
+
+    def print_gif(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        self._print_pil(filename_or_obj, "gif", pil_kwargs, metadata)
+
+    def print_jpg(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        # savefig() has already applied savefig.facecolor; we now set it to
+        # white to make imsave() blend semi-transparent figures against an
+        # assumed white background.
+        with mpl.rc_context({"savefig.facecolor": "white"}):
+            self._print_pil(filename_or_obj, "jpeg", pil_kwargs, metadata)
+
+    print_jpeg = print_jpg
+
+    def print_tif(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        self._print_pil(filename_or_obj, "tiff", pil_kwargs, metadata)
+
+    print_tiff = print_tif
+
+    def print_webp(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        self._print_pil(filename_or_obj, "webp", pil_kwargs, metadata)
+
+    print_gif.__doc__, print_jpg.__doc__, print_tif.__doc__, print_webp.__doc__ = map(
+        """
+        Write the figure to a {} file.
+
+        Parameters
+        ----------
+        filename_or_obj : str or path-like or file-like
+            The file to write to.
+        pil_kwargs : dict, optional
+            Additional keyword arguments that are passed to
+            `PIL.Image.Image.save` when saving the figure.
+        """.format, ["GIF", "JPEG", "TIFF", "WebP"])
+
+
+@_Backend.export
+class _BackendAgg(_Backend):
+    backend_version = 'v2.2'
+    FigureCanvas = FigureCanvasAgg
+    FigureManager = FigureManagerBase
diff --git a/lib/matplotlib/backends/backend_cairo.py b/lib/matplotlib/backends/backend_cairo.py
index f788937d0f92..7409cd35b394 100644
--- a/lib/matplotlib/backends/backend_cairo.py
+++ b/lib/matplotlib/backends/backend_cairo.py
@@ -1,455 +1,472 @@
 """
-A Cairo backend for matplotlib
-Author: Steve Chaplin
-
-Cairo is a vector graphics library with cross-device output support.
-Features of Cairo:
- * anti-aliasing
- * alpha channel
- * saves image files as PNG, PostScript, PDF
-
-http://cairographics.org
-Requires (in order, all available from Cairo website):
-    cairo, pycairo
-
-Naming Conventions
-  * classes MixedUpperCase
-  * varables lowerUpper
-  * functions underscore_separated
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+A Cairo backend for Matplotlib
+==============================
+:Author: Steve Chaplin and others
 
-import six
+This backend depends on cairocffi or pycairo.
+"""
 
-import os, sys, warnings, gzip
+import functools
+import gzip
+import math
 
 import numpy as np
 
-def _fn_name(): return sys._getframe(1).f_code.co_name
-
 try:
-    import cairocffi as cairo
+    import cairo
+    if cairo.version_info < (1, 14, 0):  # Introduced set_device_scale.
+        raise ImportError(f"Cairo backend requires cairo>=1.14.0, "
+                          f"but only {cairo.version_info} is available")
 except ImportError:
     try:
-        import cairo
-    except ImportError:
-        raise ImportError("Cairo backend requires that cairocffi or pycairo is installed.")
-    else:
-        HAS_CAIRO_CFFI = False
-else:
-    HAS_CAIRO_CFFI = True
-
-_version_required = (1,2,0)
-if cairo.version_info < _version_required:
-    raise ImportError ("Pycairo %d.%d.%d is installed\n"
-                       "Pycairo %d.%d.%d or later is required"
-                        % (cairo.version_info + _version_required))
-backend_version = cairo.version
-del _version_required
-
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureManagerBase, FigureCanvasBase
-from matplotlib.cbook        import is_string_like
-from matplotlib.figure       import Figure
-from matplotlib.mathtext     import MathTextParser
-from matplotlib.path         import Path
-from matplotlib.transforms   import Bbox, Affine2D
+        import cairocffi as cairo
+    except ImportError as err:
+        raise ImportError(
+            "cairo backend requires that pycairo>=1.14.0 or cairocffi "
+            "is installed") from err
+
+from .. import _api, cbook, font_manager
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, GraphicsContextBase,
+    RendererBase)
 from matplotlib.font_manager import ttfFontProperty
+from matplotlib.path import Path
+from matplotlib.transforms import Affine2D
 
-_debug = False
-#_debug = True
-
-# Image::color_conv(format) for draw_image()
-if sys.byteorder == 'little':
-    BYTE_FORMAT = 0 # BGRA
-else:
-    BYTE_FORMAT = 1 # ARGB
 
+def _set_rgba(ctx, color, alpha, forced_alpha):
+    if len(color) == 3 or forced_alpha:
+        ctx.set_source_rgba(*color[:3], alpha)
+    else:
+        ctx.set_source_rgba(*color)
+
+
+def _append_path(ctx, path, transform, clip=None):
+    for points, code in path.iter_segments(
+            transform, remove_nans=True, clip=clip):
+        if code == Path.MOVETO:
+            ctx.move_to(*points)
+        elif code == Path.CLOSEPOLY:
+            ctx.close_path()
+        elif code == Path.LINETO:
+            ctx.line_to(*points)
+        elif code == Path.CURVE3:
+            cur = np.asarray(ctx.get_current_point())
+            a = points[:2]
+            b = points[-2:]
+            ctx.curve_to(*(cur / 3 + a * 2 / 3), *(a * 2 / 3 + b / 3), *b)
+        elif code == Path.CURVE4:
+            ctx.curve_to(*points)
+
+
+def _cairo_font_args_from_font_prop(prop):
+    """
+    Convert a `.FontProperties` or a `.FontEntry` to arguments that can be
+    passed to `.Context.select_font_face`.
+    """
+    def attr(field):
+        try:
+            return getattr(prop, f"get_{field}")()
+        except AttributeError:
+            return getattr(prop, field)
 
-class RendererCairo(RendererBase):
-    fontweights = {
-        100          : cairo.FONT_WEIGHT_NORMAL,
-        200          : cairo.FONT_WEIGHT_NORMAL,
-        300          : cairo.FONT_WEIGHT_NORMAL,
-        400          : cairo.FONT_WEIGHT_NORMAL,
-        500          : cairo.FONT_WEIGHT_NORMAL,
-        600          : cairo.FONT_WEIGHT_BOLD,
-        700          : cairo.FONT_WEIGHT_BOLD,
-        800          : cairo.FONT_WEIGHT_BOLD,
-        900          : cairo.FONT_WEIGHT_BOLD,
-        'ultralight' : cairo.FONT_WEIGHT_NORMAL,
-        'light'      : cairo.FONT_WEIGHT_NORMAL,
-        'normal'     : cairo.FONT_WEIGHT_NORMAL,
-        'medium'     : cairo.FONT_WEIGHT_NORMAL,
-        'semibold'   : cairo.FONT_WEIGHT_BOLD,
-        'bold'       : cairo.FONT_WEIGHT_BOLD,
-        'heavy'      : cairo.FONT_WEIGHT_BOLD,
-        'ultrabold'  : cairo.FONT_WEIGHT_BOLD,
-        'black'      : cairo.FONT_WEIGHT_BOLD,
-                   }
-    fontangles = {
-        'italic'  : cairo.FONT_SLANT_ITALIC,
-        'normal'  : cairo.FONT_SLANT_NORMAL,
-        'oblique' : cairo.FONT_SLANT_OBLIQUE,
-        }
+    name = attr("name")
+    slant = getattr(cairo, f"FONT_SLANT_{attr('style').upper()}")
+    weight = attr("weight")
+    weight = (cairo.FONT_WEIGHT_NORMAL
+              if font_manager.weight_dict.get(weight, weight) < 550
+              else cairo.FONT_WEIGHT_BOLD)
+    return name, slant, weight
 
 
+class RendererCairo(RendererBase):
     def __init__(self, dpi):
-        """
-        """
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
         self.dpi = dpi
-        self.gc = GraphicsContextCairo (renderer=self)
-        self.text_ctx = cairo.Context (
-           cairo.ImageSurface (cairo.FORMAT_ARGB32,1,1))
-        self.mathtext_parser = MathTextParser('Cairo')
-
-        RendererBase.__init__(self)
-
-    def set_ctx_from_surface (self, surface):
-        self.gc.ctx = cairo.Context (surface)
-
-
-    def set_width_height(self, width, height):
-        self.width  = width
-        self.height = height
-        self.matrix_flipy = cairo.Matrix (yy=-1, y0=self.height)
-        # use matrix_flipy for ALL rendering?
-        # - problem with text? - will need to switch matrix_flipy off, or do a
-        # font transform?
-
+        self.gc = GraphicsContextCairo(renderer=self)
+        self.width = None
+        self.height = None
+        self.text_ctx = cairo.Context(
+           cairo.ImageSurface(cairo.FORMAT_ARGB32, 1, 1))
+        super().__init__()
+
+    def set_context(self, ctx):
+        surface = ctx.get_target()
+        if hasattr(surface, "get_width") and hasattr(surface, "get_height"):
+            size = surface.get_width(), surface.get_height()
+        elif hasattr(surface, "get_extents"):  # GTK4 RecordingSurface.
+            ext = surface.get_extents()
+            size = ext.width, ext.height
+        else:  # vector surfaces.
+            ctx.save()
+            ctx.reset_clip()
+            rect, *rest = ctx.copy_clip_rectangle_list()
+            if rest:
+                raise TypeError("Cannot infer surface size")
+            _, _, *size = rect
+            ctx.restore()
+        self.gc.ctx = ctx
+        self.width, self.height = size
 
-    def _fill_and_stroke (self, ctx, fill_c, alpha, alpha_overrides):
+    @staticmethod
+    def _fill_and_stroke(ctx, fill_c, alpha, alpha_overrides):
         if fill_c is not None:
             ctx.save()
-            if len(fill_c) == 3 or alpha_overrides:
-                ctx.set_source_rgba (fill_c[0], fill_c[1], fill_c[2], alpha)
-            else:
-                ctx.set_source_rgba (fill_c[0], fill_c[1], fill_c[2], fill_c[3])
+            _set_rgba(ctx, fill_c, alpha, alpha_overrides)
             ctx.fill_preserve()
             ctx.restore()
         ctx.stroke()
 
-    @staticmethod
-    def convert_path(ctx, path, transform):
-        for points, code in path.iter_segments(transform):
-            if code == Path.MOVETO:
-                ctx.move_to(*points)
-            elif code == Path.CLOSEPOLY:
-                ctx.close_path()
-            elif code == Path.LINETO:
-                ctx.line_to(*points)
-            elif code == Path.CURVE3:
-                ctx.curve_to(points[0], points[1],
-                             points[0], points[1],
-                             points[2], points[3])
-            elif code == Path.CURVE4:
-                ctx.curve_to(*points)
-
-
     def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
         ctx = gc.ctx
+        # Clip the path to the actual rendering extents if it isn't filled.
+        clip = (ctx.clip_extents()
+                if rgbFace is None and gc.get_hatch() is None
+                else None)
+        transform = (transform
+                     + Affine2D().scale(1, -1).translate(0, self.height))
+        ctx.new_path()
+        _append_path(ctx, path, transform, clip)
+        if rgbFace is not None:
+            ctx.save()
+            _set_rgba(ctx, rgbFace, gc.get_alpha(), gc.get_forced_alpha())
+            ctx.fill_preserve()
+            ctx.restore()
+        hatch_path = gc.get_hatch_path()
+        if hatch_path:
+            dpi = int(self.dpi)
+            hatch_surface = ctx.get_target().create_similar(
+                cairo.Content.COLOR_ALPHA, dpi, dpi)
+            hatch_ctx = cairo.Context(hatch_surface)
+            _append_path(hatch_ctx, hatch_path,
+                         Affine2D().scale(dpi, -dpi).translate(0, dpi),
+                         None)
+            hatch_ctx.set_line_width(self.points_to_pixels(gc.get_hatch_linewidth()))
+            hatch_ctx.set_source_rgba(*gc.get_hatch_color())
+            hatch_ctx.fill_preserve()
+            hatch_ctx.stroke()
+            hatch_pattern = cairo.SurfacePattern(hatch_surface)
+            hatch_pattern.set_extend(cairo.Extend.REPEAT)
+            ctx.save()
+            ctx.set_source(hatch_pattern)
+            ctx.fill_preserve()
+            ctx.restore()
+        ctx.stroke()
 
-        transform = transform + \
-            Affine2D().scale(1.0, -1.0).translate(0, self.height)
+    def draw_markers(self, gc, marker_path, marker_trans, path, transform,
+                     rgbFace=None):
+        # docstring inherited
 
+        ctx = gc.ctx
         ctx.new_path()
-        self.convert_path(ctx, path, transform)
+        # Create the path for the marker; it needs to be flipped here already!
+        _append_path(ctx, marker_path, marker_trans + Affine2D().scale(1, -1))
+        marker_path = ctx.copy_path_flat()
+
+        # Figure out whether the path has a fill
+        x1, y1, x2, y2 = ctx.fill_extents()
+        if x1 == 0 and y1 == 0 and x2 == 0 and y2 == 0:
+            filled = False
+            # No fill, just unset this (so we don't try to fill it later on)
+            rgbFace = None
+        else:
+            filled = True
 
-        self._fill_and_stroke(ctx, rgbFace, gc.get_alpha(), gc.get_forced_alpha())
+        transform = (transform
+                     + Affine2D().scale(1, -1).translate(0, self.height))
 
-    def draw_image(self, gc, x, y, im):
-        # bbox - not currently used
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
+        ctx.new_path()
+        for i, (vertices, codes) in enumerate(
+                path.iter_segments(transform, simplify=False)):
+            if len(vertices):
+                x, y = vertices[-2:]
+                ctx.save()
+
+                # Translate and apply path
+                ctx.translate(x, y)
+                ctx.append_path(marker_path)
+
+                ctx.restore()
+
+                # Slower code path if there is a fill; we need to draw
+                # the fill and stroke for each marker at the same time.
+                # Also flush out the drawing every once in a while to
+                # prevent the paths from getting way too long.
+                if filled or i % 1000 == 0:
+                    self._fill_and_stroke(
+                        ctx, rgbFace, gc.get_alpha(), gc.get_forced_alpha())
+
+        # Fast path, if there is no fill, draw everything in one step
+        if not filled:
+            self._fill_and_stroke(
+                ctx, rgbFace, gc.get_alpha(), gc.get_forced_alpha())
 
-        rows, cols, buf = im.color_conv (BYTE_FORMAT)
-        surface = cairo.ImageSurface.create_for_data (
-                      buf, cairo.FORMAT_ARGB32, cols, rows, cols*4)
+    def draw_image(self, gc, x, y, im):
+        im = cbook._unmultiplied_rgba8888_to_premultiplied_argb32(im[::-1])
+        surface = cairo.ImageSurface.create_for_data(
+            im.ravel().data, cairo.FORMAT_ARGB32,
+            im.shape[1], im.shape[0], im.shape[1] * 4)
         ctx = gc.ctx
-        y = self.height - y - rows
+        y = self.height - y - im.shape[0]
 
         ctx.save()
-        ctx.set_source_surface (surface, x, y)
-        if gc.get_alpha() != 1.0:
-            ctx.paint_with_alpha(gc.get_alpha())
-        else:
-            ctx.paint()
+        ctx.set_source_surface(surface, float(x), float(y))
+        ctx.paint()
         ctx.restore()
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        # Note: x,y are device/display coords, not user-coords, unlike other
-        # draw_* methods
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
+        # docstring inherited
 
+        # Note: (x, y) are device/display coords, not user-coords, unlike other
+        # draw_* methods
         if ismath:
             self._draw_mathtext(gc, x, y, s, prop, angle)
 
         else:
             ctx = gc.ctx
             ctx.new_path()
-            ctx.move_to (x, y)
-            ctx.select_font_face (prop.get_name(),
-                                  self.fontangles [prop.get_style()],
-                                  self.fontweights[prop.get_weight()])
-
-            size = prop.get_size_in_points() * self.dpi / 72.0
+            ctx.move_to(x, y)
 
             ctx.save()
+            ctx.select_font_face(*_cairo_font_args_from_font_prop(prop))
+            ctx.set_font_size(self.points_to_pixels(prop.get_size_in_points()))
+            opts = cairo.FontOptions()
+            opts.set_antialias(gc.get_antialiased())
+            ctx.set_font_options(opts)
             if angle:
-                ctx.rotate (-angle * np.pi / 180)
-            ctx.set_font_size (size)
-
-            if HAS_CAIRO_CFFI:
-                if not isinstance(s, six.text_type):
-                    s = six.text_type(s)
-            else:
-                if not six.PY3 and isinstance(s, six.text_type):
-                    s = s.encode("utf-8")
-
+                ctx.rotate(np.deg2rad(-angle))
             ctx.show_text(s)
             ctx.restore()
 
     def _draw_mathtext(self, gc, x, y, s, prop, angle):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
-
         ctx = gc.ctx
-        width, height, descent, glyphs, rects = self.mathtext_parser.parse(
-            s, self.dpi, prop)
+        width, height, descent, glyphs, rects = \
+            self._text2path.mathtext_parser.parse(s, self.dpi, prop)
 
         ctx.save()
         ctx.translate(x, y)
         if angle:
-            ctx.rotate (-angle * np.pi / 180)
+            ctx.rotate(np.deg2rad(-angle))
 
-        for font, fontsize, s, ox, oy in glyphs:
+        for font, fontsize, idx, ox, oy in glyphs:
             ctx.new_path()
-            ctx.move_to(ox, oy)
-
-            fontProp = ttfFontProperty(font)
-            ctx.save()
-            ctx.select_font_face (fontProp.name,
-                                  self.fontangles [fontProp.style],
-                                  self.fontweights[fontProp.weight])
-
-            size = fontsize * self.dpi / 72.0
-            ctx.set_font_size(size)
-            if isinstance(s, six.text_type):
-                s = s.encode("utf-8")
-            ctx.show_text(s)
-            ctx.restore()
+            ctx.move_to(ox, -oy)
+            ctx.select_font_face(
+                *_cairo_font_args_from_font_prop(ttfFontProperty(font)))
+            ctx.set_font_size(self.points_to_pixels(fontsize))
+            ctx.show_text(chr(idx))
 
         for ox, oy, w, h in rects:
             ctx.new_path()
-            ctx.rectangle (ox, oy, w, h)
-            ctx.set_source_rgb (0, 0, 0)
+            ctx.rectangle(ox, -oy, w, -h)
+            ctx.set_source_rgb(0, 0, 0)
             ctx.fill_preserve()
 
         ctx.restore()
 
-
-    def flipy(self):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
-        return True
-        #return False # tried - all draw objects ok except text (and images?)
-        # which comes out mirrored!
-
-
     def get_canvas_width_height(self):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
+        # docstring inherited
         return self.width, self.height
 
-
     def get_text_width_height_descent(self, s, prop, ismath):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
+        # docstring inherited
+
+        if ismath == 'TeX':
+            return super().get_text_width_height_descent(s, prop, ismath)
+
         if ismath:
-            width, height, descent, fonts, used_characters = self.mathtext_parser.parse(
-               s, self.dpi, prop)
+            width, height, descent, *_ = \
+                self._text2path.mathtext_parser.parse(s, self.dpi, prop)
             return width, height, descent
 
         ctx = self.text_ctx
-        ctx.save()
-        ctx.select_font_face (prop.get_name(),
-                              self.fontangles [prop.get_style()],
-                              self.fontweights[prop.get_weight()])
-
-        # Cairo (says it) uses 1/96 inch user space units, ref: cairo_gstate.c
-        # but if /96.0 is used the font is too small
-
-        size = prop.get_size_in_points() * self.dpi / 72.0
-
         # problem - scale remembers last setting and font can become
         # enormous causing program to crash
         # save/restore prevents the problem
-        ctx.set_font_size (size)
+        ctx.save()
+        ctx.select_font_face(*_cairo_font_args_from_font_prop(prop))
+        ctx.set_font_size(self.points_to_pixels(prop.get_size_in_points()))
 
-        y_bearing, w, h = ctx.text_extents (s)[1:4]
+        y_bearing, w, h = ctx.text_extents(s)[1:4]
         ctx.restore()
 
         return w, h, h + y_bearing
 
-
     def new_gc(self):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
+        # docstring inherited
         self.gc.ctx.save()
-        self.gc._alpha = 1.0
-        self.gc._forced_alpha = False # if True, _alpha overrides A from RGBA
+        # FIXME: The following doesn't properly implement a stack-like behavior
+        # and relies instead on the (non-guaranteed) fact that artists never
+        # rely on nesting gc states, so directly resetting the attributes (IOW
+        # a single-level stack) is enough.
+        self.gc._alpha = 1
+        self.gc._forced_alpha = False  # if True, _alpha overrides A from RGBA
+        self.gc._hatch = None
         return self.gc
 
-
     def points_to_pixels(self, points):
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
-        return points/72.0 * self.dpi
+        # docstring inherited
+        return points / 72 * self.dpi
 
 
 class GraphicsContextCairo(GraphicsContextBase):
     _joind = {
-        'bevel' : cairo.LINE_JOIN_BEVEL,
-        'miter' : cairo.LINE_JOIN_MITER,
-        'round' : cairo.LINE_JOIN_ROUND,
-        }
+        'bevel':  cairo.LINE_JOIN_BEVEL,
+        'miter':  cairo.LINE_JOIN_MITER,
+        'round':  cairo.LINE_JOIN_ROUND,
+    }
 
     _capd = {
-        'butt'       : cairo.LINE_CAP_BUTT,
-        'projecting' : cairo.LINE_CAP_SQUARE,
-        'round'      : cairo.LINE_CAP_ROUND,
-        }
-
+        'butt':        cairo.LINE_CAP_BUTT,
+        'projecting':  cairo.LINE_CAP_SQUARE,
+        'round':       cairo.LINE_CAP_ROUND,
+    }
 
     def __init__(self, renderer):
-        GraphicsContextBase.__init__(self)
+        super().__init__()
         self.renderer = renderer
 
-
     def restore(self):
         self.ctx.restore()
 
-
     def set_alpha(self, alpha):
-        GraphicsContextBase.set_alpha(self, alpha)
-        _alpha = self.get_alpha()
-        rgb = self._rgb
-        if self.get_forced_alpha():
-            self.ctx.set_source_rgba (rgb[0], rgb[1], rgb[2], _alpha)
-        else:
-            self.ctx.set_source_rgba (rgb[0], rgb[1], rgb[2], rgb[3])
-
+        super().set_alpha(alpha)
+        _set_rgba(
+            self.ctx, self._rgb, self.get_alpha(), self.get_forced_alpha())
 
-    #def set_antialiased(self, b):
-        # enable/disable anti-aliasing is not (yet) supported by Cairo
+    def set_antialiased(self, b):
+        self.ctx.set_antialias(
+            cairo.ANTIALIAS_DEFAULT if b else cairo.ANTIALIAS_NONE)
 
+    def get_antialiased(self):
+        return self.ctx.get_antialias()
 
     def set_capstyle(self, cs):
-        if cs in ('butt', 'round', 'projecting'):
-            self._capstyle = cs
-            self.ctx.set_line_cap (self._capd[cs])
-        else:
-            raise ValueError('Unrecognized cap style.  Found %s' % cs)
-
+        self.ctx.set_line_cap(_api.check_getitem(self._capd, capstyle=cs))
+        self._capstyle = cs
 
     def set_clip_rectangle(self, rectangle):
-        if not rectangle: return
-        x,y,w,h = rectangle.bounds
-        # pixel-aligned clip-regions are faster
-        x,y,w,h = round(x), round(y), round(w), round(h)
+        if not rectangle:
+            return
+        x, y, w, h = np.round(rectangle.bounds)
         ctx = self.ctx
         ctx.new_path()
-        ctx.rectangle (x, self.renderer.height - h - y, w, h)
-        ctx.clip ()
+        ctx.rectangle(x, self.renderer.height - h - y, w, h)
+        ctx.clip()
 
     def set_clip_path(self, path):
-        if not path: return
+        if not path:
+            return
         tpath, affine = path.get_transformed_path_and_affine()
         ctx = self.ctx
         ctx.new_path()
-        affine = affine + Affine2D().scale(1.0, -1.0).translate(0.0, self.renderer.height)
-        RendererCairo.convert_path(ctx, tpath, affine)
+        affine = (affine
+                  + Affine2D().scale(1, -1).translate(0, self.renderer.height))
+        _append_path(ctx, tpath, affine)
         ctx.clip()
 
     def set_dashes(self, offset, dashes):
         self._dashes = offset, dashes
-        if dashes == None:
+        if dashes is None:
             self.ctx.set_dash([], 0)  # switch dashes off
         else:
             self.ctx.set_dash(
-                list(self.renderer.points_to_pixels(np.asarray(dashes))), offset)
-
+                list(self.renderer.points_to_pixels(np.asarray(dashes))),
+                offset)
 
     def set_foreground(self, fg, isRGBA=None):
-        GraphicsContextBase.set_foreground(self, fg, isRGBA)
-        if len(self._rgb) == 3:
-            self.ctx.set_source_rgb(*self._rgb)
-        else:
-            self.ctx.set_source_rgba(*self._rgb)
-
-    def set_graylevel(self, frac):
-        GraphicsContextBase.set_graylevel(self, frac)
+        super().set_foreground(fg, isRGBA)
         if len(self._rgb) == 3:
             self.ctx.set_source_rgb(*self._rgb)
         else:
             self.ctx.set_source_rgba(*self._rgb)
 
+    def get_rgb(self):
+        return self.ctx.get_source().get_rgba()[:3]
 
     def set_joinstyle(self, js):
-        if js in ('miter', 'round', 'bevel'):
-            self._joinstyle = js
-            self.ctx.set_line_join(self._joind[js])
-        else:
-            raise ValueError('Unrecognized join style.  Found %s' % js)
-
+        self.ctx.set_line_join(_api.check_getitem(self._joind, joinstyle=js))
+        self._joinstyle = js
 
     def set_linewidth(self, w):
-        self._linewidth = w
-        self.ctx.set_line_width (self.renderer.points_to_pixels(w))
-
-
-def new_figure_manager(num, *args, **kwargs): # called by backends/__init__.py
-    """
-    Create a new figure manager instance
-    """
-    if _debug: print('%s()' % (_fn_name()))
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas  = FigureCanvasCairo(figure)
-    manager = FigureManagerBase(canvas, num)
-    return manager
-
-
-class FigureCanvasCairo (FigureCanvasBase):
-    def print_png(self, fobj, *args, **kwargs):
+        self._linewidth = float(w)
+        self.ctx.set_line_width(self.renderer.points_to_pixels(w))
+
+
+class _CairoRegion:
+    def __init__(self, slices, data):
+        self._slices = slices
+        self._data = data
+
+
+class FigureCanvasCairo(FigureCanvasBase):
+    @property
+    def _renderer(self):
+        # In theory, _renderer should be set in __init__, but GUI canvas
+        # subclasses (FigureCanvasFooCairo) don't always interact well with
+        # multiple inheritance (FigureCanvasFoo inits but doesn't super-init
+        # FigureCanvasCairo), so initialize it in the getter instead.
+        if not hasattr(self, "_cached_renderer"):
+            self._cached_renderer = RendererCairo(self.figure.dpi)
+        return self._cached_renderer
+
+    def get_renderer(self):
+        return self._renderer
+
+    def copy_from_bbox(self, bbox):
+        surface = self._renderer.gc.ctx.get_target()
+        if not isinstance(surface, cairo.ImageSurface):
+            raise RuntimeError(
+                "copy_from_bbox only works when rendering to an ImageSurface")
+        sw = surface.get_width()
+        sh = surface.get_height()
+        x0 = math.ceil(bbox.x0)
+        x1 = math.floor(bbox.x1)
+        y0 = math.ceil(sh - bbox.y1)
+        y1 = math.floor(sh - bbox.y0)
+        if not (0 <= x0 and x1 <= sw and bbox.x0 <= bbox.x1
+                and 0 <= y0 and y1 <= sh and bbox.y0 <= bbox.y1):
+            raise ValueError("Invalid bbox")
+        sls = slice(y0, y0 + max(y1 - y0, 0)), slice(x0, x0 + max(x1 - x0, 0))
+        data = (np.frombuffer(surface.get_data(), np.uint32)
+                .reshape((sh, sw))[sls].copy())
+        return _CairoRegion(sls, data)
+
+    def restore_region(self, region):
+        surface = self._renderer.gc.ctx.get_target()
+        if not isinstance(surface, cairo.ImageSurface):
+            raise RuntimeError(
+                "restore_region only works when rendering to an ImageSurface")
+        surface.flush()
+        sw = surface.get_width()
+        sh = surface.get_height()
+        sly, slx = region._slices
+        (np.frombuffer(surface.get_data(), np.uint32)
+         .reshape((sh, sw))[sly, slx]) = region._data
+        surface.mark_dirty_rectangle(
+            slx.start, sly.start, slx.stop - slx.start, sly.stop - sly.start)
+
+    def print_png(self, fobj):
+        self._get_printed_image_surface().write_to_png(fobj)
+
+    def print_rgba(self, fobj):
         width, height = self.get_width_height()
+        buf = self._get_printed_image_surface().get_data()
+        fobj.write(cbook._premultiplied_argb32_to_unmultiplied_rgba8888(
+            np.asarray(buf).reshape((width, height, 4))))
 
-        renderer = RendererCairo (self.figure.dpi)
-        renderer.set_width_height (width, height)
-        surface = cairo.ImageSurface (cairo.FORMAT_ARGB32, width, height)
-        renderer.set_ctx_from_surface (surface)
-
-        self.figure.draw (renderer)
-        surface.write_to_png (fobj)
-
-    def print_pdf(self, fobj, *args, **kwargs):
-        return self._save(fobj, 'pdf', *args, **kwargs)
-
-    def print_ps(self, fobj, *args, **kwargs):
-        return self._save(fobj, 'ps', *args, **kwargs)
+    print_raw = print_rgba
 
-    def print_svg(self, fobj, *args, **kwargs):
-        return self._save(fobj, 'svg', *args, **kwargs)
-
-    def print_svgz(self, fobj, *args, **kwargs):
-        return self._save(fobj, 'svgz', *args, **kwargs)
+    def _get_printed_image_surface(self):
+        self._renderer.dpi = self.figure.dpi
+        width, height = self.get_width_height()
+        surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
+        self._renderer.set_context(cairo.Context(surface))
+        self.figure.draw(self._renderer)
+        return surface
 
-    def _save (self, fo, format, **kwargs):
+    def _save(self, fmt, fobj, *, orientation='portrait'):
         # save PDF/PS/SVG
-        orientation = kwargs.get('orientation', 'portrait')
 
         dpi = 72
         self.figure.dpi = dpi
@@ -457,72 +474,56 @@ def _save (self, fo, format, **kwargs):
         width_in_points, height_in_points = w_in * dpi, h_in * dpi
 
         if orientation == 'landscape':
-            width_in_points, height_in_points = (height_in_points,
-                                                 width_in_points)
+            width_in_points, height_in_points = (
+                height_in_points, width_in_points)
 
-        if format == 'ps':
+        if fmt == 'ps':
             if not hasattr(cairo, 'PSSurface'):
-                raise RuntimeError ('cairo has not been compiled with PS '
-                                    'support enabled')
-            surface = cairo.PSSurface (fo, width_in_points, height_in_points)
-        elif format == 'pdf':
+                raise RuntimeError('cairo has not been compiled with PS '
+                                   'support enabled')
+            surface = cairo.PSSurface(fobj, width_in_points, height_in_points)
+        elif fmt == 'pdf':
             if not hasattr(cairo, 'PDFSurface'):
-                raise RuntimeError ('cairo has not been compiled with PDF '
-                                    'support enabled')
-            surface = cairo.PDFSurface (fo, width_in_points, height_in_points)
-        elif format in ('svg', 'svgz'):
+                raise RuntimeError('cairo has not been compiled with PDF '
+                                   'support enabled')
+            surface = cairo.PDFSurface(fobj, width_in_points, height_in_points)
+        elif fmt in ('svg', 'svgz'):
             if not hasattr(cairo, 'SVGSurface'):
-                raise RuntimeError ('cairo has not been compiled with SVG '
-                                    'support enabled')
-            if format == 'svgz':
-                filename = fo
-                if is_string_like(fo):
-                    fo = open(fo, 'wb')
-                    close = True
+                raise RuntimeError('cairo has not been compiled with SVG '
+                                   'support enabled')
+            if fmt == 'svgz':
+                if isinstance(fobj, str):
+                    fobj = gzip.GzipFile(fobj, 'wb')
                 else:
-                    close = False
-                try:
-                    fo = gzip.GzipFile(None, 'wb', fileobj=fo)
-                finally:
-                    if close:
-                        fo.close()
-            surface = cairo.SVGSurface (fo, width_in_points, height_in_points)
+                    fobj = gzip.GzipFile(None, 'wb', fileobj=fobj)
+            surface = cairo.SVGSurface(fobj, width_in_points, height_in_points)
         else:
-           warnings.warn ("unknown format: %s" % format)
-           return
+            raise ValueError(f"Unknown format: {fmt!r}")
 
-        # surface.set_dpi() can be used
-        renderer = RendererCairo (self.figure.dpi)
-        renderer.set_width_height (width_in_points, height_in_points)
-        renderer.set_ctx_from_surface (surface)
-        ctx = renderer.gc.ctx
+        self._renderer.dpi = self.figure.dpi
+        self._renderer.set_context(cairo.Context(surface))
+        ctx = self._renderer.gc.ctx
 
         if orientation == 'landscape':
-            ctx.rotate (np.pi/2)
-            ctx.translate (0, -height_in_points)
-            # cairo/src/cairo_ps_surface.c
-            # '%%Orientation: Portrait' is always written to the file header
-            # '%%Orientation: Landscape' would possibly cause problems
-            # since some printers would rotate again ?
-            # TODO:
-            # add portrait/landscape checkbox to FileChooser
-
-        self.figure.draw (renderer)
-
-        show_fig_border = False  # for testing figure orientation and scaling
-        if show_fig_border:
-            ctx.new_path()
-            ctx.rectangle(0, 0, width_in_points, height_in_points)
-            ctx.set_line_width(4.0)
-            ctx.set_source_rgb(1,0,0)
-            ctx.stroke()
-            ctx.move_to(30,30)
-            ctx.select_font_face ('sans-serif')
-            ctx.set_font_size(20)
-            ctx.show_text('Origin corner')
+            ctx.rotate(np.pi / 2)
+            ctx.translate(0, -height_in_points)
+            # Perhaps add an '%%Orientation: Landscape' comment?
+
+        self.figure.draw(self._renderer)
 
         ctx.show_page()
         surface.finish()
+        if fmt == 'svgz':
+            fobj.close()
+
+    print_pdf = functools.partialmethod(_save, "pdf")
+    print_ps = functools.partialmethod(_save, "ps")
+    print_svg = functools.partialmethod(_save, "svg")
+    print_svgz = functools.partialmethod(_save, "svgz")
 
 
-FigureCanvas = FigureCanvasCairo
+@_Backend.export
+class _BackendCairo(_Backend):
+    backend_version = cairo.version
+    FigureCanvas = FigureCanvasCairo
+    FigureManager = FigureManagerBase
diff --git a/lib/matplotlib/backends/backend_cocoaagg.py b/lib/matplotlib/backends/backend_cocoaagg.py
deleted file mode 100644
index 2a9fb6ba72b7..000000000000
--- a/lib/matplotlib/backends/backend_cocoaagg.py
+++ /dev/null
@@ -1,306 +0,0 @@
-"""
- backend_cocoaagg.py
-
- A native Cocoa backend via PyObjC in OSX.
-
- Author: Charles Moad (cmoad@users.sourceforge.net)
-
- Notes:
-  - Requires PyObjC (currently testing v1.3.7)
-  - The Tk backend works nicely on OSX.  This code
-    primarily serves as an example of embedding a
-    matplotlib rendering context into a cocoa app
-    using a NSImageView.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-import os, sys
-
-try:
-    import objc
-except ImportError:
-    raise ImportError('The CococaAgg backend required PyObjC to be installed!')
-
-from Foundation import *
-from AppKit import *
-from PyObjCTools import NibClassBuilder, AppHelper
-
-from matplotlib import cbook
-cbook.warn_deprecated(
-    '1.3',
-    message="The CocoaAgg backend is not a fully-functioning backend. "
-            "It may be removed in matplotlib 1.4.")
-
-import matplotlib
-from matplotlib.figure import Figure
-from matplotlib.backend_bases import FigureManagerBase, FigureCanvasBase
-from matplotlib.backend_bases import ShowBase
-
-from .backend_agg import FigureCanvasAgg
-from matplotlib._pylab_helpers import Gcf
-
-mplBundle = NSBundle.bundleWithPath_(os.path.dirname(__file__))
-
-
-def new_figure_manager(num, *args, **kwargs):
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass( *args, **kwargs )
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasCocoaAgg(figure)
-    return FigureManagerCocoaAgg(canvas, num)
-
-
-## Below is the original show() function:
-#def show():
-#    for manager in Gcf.get_all_fig_managers():
-#        manager.show()
-#
-## It appears that this backend is unusual in having a separate
-## run function invoked for each figure, instead of a single
-## mainloop.  Presumably there is no blocking at all.
-##
-## Using the Show class below should cause no difference in
-## behavior.
-
-class Show(ShowBase):
-    def mainloop(self):
-        pass
-
-show = Show()
-
-def draw_if_interactive():
-    if matplotlib.is_interactive():
-        figManager =  Gcf.get_active()
-        if figManager is not None:
-            figManager.show()
-
-class FigureCanvasCocoaAgg(FigureCanvasAgg):
-    def draw(self):
-        FigureCanvasAgg.draw(self)
-
-    def blit(self, bbox):
-        pass
-
-    def start_event_loop(self,timeout):
-        FigureCanvasBase.start_event_loop_default(self,timeout)
-    start_event_loop.__doc__=FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__=FigureCanvasBase.stop_event_loop_default.__doc__
-
-
-
-NibClassBuilder.extractClasses('Matplotlib.nib', mplBundle)
-
-class MatplotlibController(NibClassBuilder.AutoBaseClass):
-    # available outlets:
-    #  NSWindow plotWindow
-    #  PlotView plotView
-
-    def awakeFromNib(self):
-        # Get a reference to the active canvas
-        NSApp().setDelegate_(self)
-        self.app = NSApp()
-        self.canvas = Gcf.get_active().canvas
-        self.plotView.canvas = self.canvas
-        self.canvas.plotView = self.plotView
-
-        self.plotWindow.setAcceptsMouseMovedEvents_(True)
-        self.plotWindow.makeKeyAndOrderFront_(self)
-        self.plotWindow.setDelegate_(self)#.plotView)
-
-        self.plotView.setImageFrameStyle_(NSImageFrameGroove)
-        self.plotView.image_ = NSImage.alloc().initWithSize_((0,0))
-        self.plotView.setImage_(self.plotView.image_)
-
-        # Make imageview first responder for key events
-        self.plotWindow.makeFirstResponder_(self.plotView)
-
-        # Force the first update
-        self.plotView.windowDidResize_(self)
-
-    def windowDidResize_(self, sender):
-        self.plotView.windowDidResize_(sender)
-
-    def windowShouldClose_(self, sender):
-        #NSApplication.sharedApplication().stop_(self)
-        self.app.stop_(self)
-        return objc.YES
-
-    def saveFigure_(self, sender):
-        p = NSSavePanel.savePanel()
-        if(p.runModal() == NSFileHandlingPanelOKButton):
-            self.canvas.print_figure(p.filename())
-
-    def printFigure_(self, sender):
-        op = NSPrintOperation.printOperationWithView_(self.plotView)
-        op.runOperation()
-
-class PlotWindow(NibClassBuilder.AutoBaseClass):
-    pass
-
-class PlotView(NibClassBuilder.AutoBaseClass):
-    def updatePlot(self):
-        w,h = self.canvas.get_width_height()
-
-        # Remove all previous images
-        for i in xrange(self.image_.representations().count()):
-            self.image_.removeRepresentation_(self.image_.representations().objectAtIndex_(i))
-
-        self.image_.setSize_((w,h))
-
-        brep = NSBitmapImageRep.alloc().initWithBitmapDataPlanes_pixelsWide_pixelsHigh_bitsPerSample_samplesPerPixel_hasAlpha_isPlanar_colorSpaceName_bytesPerRow_bitsPerPixel_(
-            (self.canvas.buffer_rgba(),'','','',''), # Image data
-            w, # width
-            h, # height
-            8, # bits per pixel
-            4, # components per pixel
-            True, # has alpha?
-            False, # is planar?
-            NSCalibratedRGBColorSpace, # color space
-            w*4, # row bytes
-            32) # bits per pixel
-
-        self.image_.addRepresentation_(brep)
-        self.setNeedsDisplay_(True)
-
-    def windowDidResize_(self, sender):
-        w,h = self.bounds().size
-        dpi = self.canvas.figure.dpi
-        self.canvas.figure.set_size_inches(w / dpi, h / dpi)
-        self.canvas.draw()
-        self.updatePlot()
-
-    def mouseDown_(self, event):
-        dblclick = (event.clickCount() == 2)
-        loc = self.convertPoint_fromView_(event.locationInWindow(), None)
-        type = event.type()
-        if (type == NSLeftMouseDown):
-            button = 1
-        else:
-            print('Unknown mouse event type:', type, file=sys.stderr)
-            button = -1
-        self.canvas.button_press_event(loc.x, loc.y, button, dblclick=dblclick)
-        self.updatePlot()
-
-    def mouseDragged_(self, event):
-        loc = self.convertPoint_fromView_(event.locationInWindow(), None)
-        self.canvas.motion_notify_event(loc.x, loc.y)
-        self.updatePlot()
-
-    def mouseUp_(self, event):
-        loc = self.convertPoint_fromView_(event.locationInWindow(), None)
-        type = event.type()
-        if (type == NSLeftMouseUp):
-            button = 1
-        else:
-            print('Unknown mouse event type:', type, file=sys.stderr)
-            button = -1
-        self.canvas.button_release_event(loc.x, loc.y, button)
-        self.updatePlot()
-
-    def keyDown_(self, event):
-        self.canvas.key_press_event(event.characters())
-        self.updatePlot()
-
-    def keyUp_(self, event):
-        self.canvas.key_release_event(event.characters())
-        self.updatePlot()
-
-class MPLBootstrap(NSObject):
-    # Loads the nib containing the PlotWindow and PlotView
-    def startWithBundle_(self, bundle):
-        #NSApplicationLoad()
-        if not bundle.loadNibFile_externalNameTable_withZone_('Matplotlib.nib', {}, None):
-            print('Unable to load Matplotlib Cocoa UI!', file=sys.stderr)
-            sys.exit()
-
-class FigureManagerCocoaAgg(FigureManagerBase):
-    def __init__(self, canvas, num):
-        FigureManagerBase.__init__(self, canvas, num)
-
-        try:
-            WMEnable('Matplotlib')
-        except:
-            # MULTIPLE FIGURES ARE BUGGY!
-            pass # If there are multiple figures we only need to enable once
-        #self.bootstrap = MPLBootstrap.alloc().init().performSelectorOnMainThread_withObject_waitUntilDone_(
-        #        'startWithBundle:',
-        #        mplBundle,
-        #        False)
-
-    def show(self):
-        # Load a new PlotWindow
-        self.bootstrap = MPLBootstrap.alloc().init().performSelectorOnMainThread_withObject_waitUntilDone_(
-                'startWithBundle:',
-                mplBundle,
-                False)
-        NSApplication.sharedApplication().run()
-
-
-#### Everything below taken from PyObjC examples
-#### This is a hack to allow python scripts to access
-#### the window manager without running pythonw.
-def S(*args):
-    return ''.join(args)
-
-OSErr = objc._C_SHT
-OUTPSN = 'o^{ProcessSerialNumber=LL}'
-INPSN = 'n^{ProcessSerialNumber=LL}'
-FUNCTIONS=[
-    # These two are public API
-    ( 'GetCurrentProcess', S(OSErr, OUTPSN) ),
-    ( 'SetFrontProcess', S(OSErr, INPSN) ),
-    # This is undocumented SPI
-    ( 'CPSSetProcessName', S(OSErr, INPSN, objc._C_CHARPTR) ),
-    ( 'CPSEnableForegroundOperation', S(OSErr, INPSN) ),
-]
-def WMEnable(name='Python'):
-    if isinstance(name, six.text_type):
-        name = name.encode('utf8')
-    mainBundle = NSBundle.mainBundle()
-    bPath = os.path.split(os.path.split(os.path.split(sys.executable)[0])[0])[0]
-    if mainBundle.bundlePath() == bPath:
-        return True
-    bndl = NSBundle.bundleWithPath_(objc.pathForFramework('/System/Library/Frameworks/ApplicationServices.framework'))
-    if bndl is None:
-        print('ApplicationServices missing', file=sys.stderr)
-        return False
-    d = {}
-    objc.loadBundleFunctions(bndl, d, FUNCTIONS)
-    for (fn, sig) in FUNCTIONS:
-        if fn not in d:
-            print('Missing', fn, file=sys.stderr)
-            return False
-    err, psn = d['GetCurrentProcess']()
-    if err:
-        print('GetCurrentProcess', (err, psn), file=sys.stderr)
-        return False
-    err = d['CPSSetProcessName'](psn, name)
-    if err:
-        print('CPSSetProcessName', (err, psn), file=sys.stderr)
-        return False
-    err = d['CPSEnableForegroundOperation'](psn)
-    if err:
-        #print >>sys.stderr, 'CPSEnableForegroundOperation', (err, psn)
-        return False
-    err = d['SetFrontProcess'](psn)
-    if err:
-        print('SetFrontProcess', (err, psn), file=sys.stderr)
-        return False
-    return True
-
-
-FigureCanvas = FigureCanvasCocoaAgg
-FigureManager = FigureManagerCocoaAgg
diff --git a/lib/matplotlib/backends/backend_gdk.py b/lib/matplotlib/backends/backend_gdk.py
deleted file mode 100644
index d3e8e5bb1202..000000000000
--- a/lib/matplotlib/backends/backend_gdk.py
+++ /dev/null
@@ -1,482 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import math
-import os
-import sys
-import warnings
-def fn_name(): return sys._getframe(1).f_code.co_name
-
-import gobject
-import gtk; gdk = gtk.gdk
-import pango
-pygtk_version_required = (2,2,0)
-if gtk.pygtk_version < pygtk_version_required:
-    raise ImportError ("PyGTK %d.%d.%d is installed\n"
-                      "PyGTK %d.%d.%d or later is required"
-                      % (gtk.pygtk_version + pygtk_version_required))
-del pygtk_version_required
-
-import numpy as np
-
-import matplotlib
-from matplotlib import rcParams
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase, \
-     FigureManagerBase, FigureCanvasBase
-from matplotlib.cbook import is_string_like
-from matplotlib.figure import Figure
-from matplotlib.mathtext import MathTextParser
-from matplotlib.transforms import Affine2D
-from matplotlib.backends._backend_gdk import pixbuf_get_pixels_array
-
-backend_version = "%d.%d.%d" % gtk.pygtk_version
-_debug = False
-
-# Image formats that this backend supports - for FileChooser and print_figure()
-IMAGE_FORMAT  = ['eps', 'jpg', 'png', 'ps', 'svg'] + ['bmp'] # , 'raw', 'rgb']
-IMAGE_FORMAT.sort()
-IMAGE_FORMAT_DEFAULT  = 'png'
-
-
-class RendererGDK(RendererBase):
-    fontweights = {
-        100          : pango.WEIGHT_ULTRALIGHT,
-        200          : pango.WEIGHT_LIGHT,
-        300          : pango.WEIGHT_LIGHT,
-        400          : pango.WEIGHT_NORMAL,
-        500          : pango.WEIGHT_NORMAL,
-        600          : pango.WEIGHT_BOLD,
-        700          : pango.WEIGHT_BOLD,
-        800          : pango.WEIGHT_HEAVY,
-        900          : pango.WEIGHT_ULTRABOLD,
-        'ultralight' : pango.WEIGHT_ULTRALIGHT,
-        'light'      : pango.WEIGHT_LIGHT,
-        'normal'     : pango.WEIGHT_NORMAL,
-        'medium'     : pango.WEIGHT_NORMAL,
-        'semibold'   : pango.WEIGHT_BOLD,
-        'bold'       : pango.WEIGHT_BOLD,
-        'heavy'      : pango.WEIGHT_HEAVY,
-        'ultrabold'  : pango.WEIGHT_ULTRABOLD,
-        'black'      : pango.WEIGHT_ULTRABOLD,
-                   }
-
-    # cache for efficiency, these must be at class, not instance level
-    layoutd = {}  # a map from text prop tups to pango layouts
-    rotated = {}  # a map from text prop tups to rotated text pixbufs
-
-    def __init__(self, gtkDA, dpi):
-        # widget gtkDA is used for:
-        #  '<widget>.create_pango_layout(s)'
-        #  cmap line below)
-        self.gtkDA = gtkDA
-        self.dpi   = dpi
-        self._cmap = gtkDA.get_colormap()
-        self.mathtext_parser = MathTextParser("Agg")
-
-    def set_pixmap (self, pixmap):
-        self.gdkDrawable = pixmap
-
-    def set_width_height (self, width, height):
-        """w,h is the figure w,h not the pixmap w,h
-        """
-        self.width, self.height = width, height
-
-    def draw_path(self, gc, path, transform, rgbFace=None):
-        transform = transform + Affine2D(). \
-            scale(1.0, -1.0).translate(0, self.height)
-        polygons = path.to_polygons(transform, self.width, self.height)
-        for polygon in polygons:
-            # draw_polygon won't take an arbitrary sequence -- it must be a list
-            # of tuples
-            polygon = [(int(round(x)), int(round(y))) for x, y in polygon]
-            if rgbFace is not None:
-                saveColor = gc.gdkGC.foreground
-                gc.gdkGC.foreground = gc.rgb_to_gdk_color(rgbFace)
-                self.gdkDrawable.draw_polygon(gc.gdkGC, True, polygon)
-                gc.gdkGC.foreground = saveColor
-            if gc.gdkGC.line_width > 0:
-                self.gdkDrawable.draw_lines(gc.gdkGC, polygon)
-
-    def draw_image(self, gc, x, y, im):
-        bbox = gc.get_clip_rectangle()
-
-        if bbox != None:
-            l,b,w,h = bbox.bounds
-            #rectangle = (int(l), self.height-int(b+h),
-            #             int(w), int(h))
-            # set clip rect?
-
-        rows, cols, image_str = im.as_rgba_str()
-
-        image_array = np.fromstring(image_str, np.uint8)
-        image_array.shape = rows, cols, 4
-
-        pixbuf = gtk.gdk.Pixbuf(gtk.gdk.COLORSPACE_RGB,
-                                has_alpha=True, bits_per_sample=8,
-                                width=cols, height=rows)
-
-        array = pixbuf_get_pixels_array(pixbuf)
-        array[:,:,:] = image_array[::-1]
-
-        gc = self.new_gc()
-
-
-        y = self.height-y-rows
-
-        try: # new in 2.2
-            # can use None instead of gc.gdkGC, if don't need clipping
-            self.gdkDrawable.draw_pixbuf (gc.gdkGC, pixbuf, 0, 0,
-                                          int(x), int(y), cols, rows,
-                                          gdk.RGB_DITHER_NONE, 0, 0)
-        except AttributeError:
-            # deprecated in 2.2
-            pixbuf.render_to_drawable(self.gdkDrawable, gc.gdkGC, 0, 0,
-                                  int(x), int(y), cols, rows,
-                                  gdk.RGB_DITHER_NONE, 0, 0)
-
-
-    def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        x, y = int(x), int(y)
-
-        if x < 0 or y < 0: # window has shrunk and text is off the edge
-            return
-
-        if angle not in (0,90):
-            warnings.warn('backend_gdk: unable to draw text at angles ' +
-                          'other than 0 or 90')
-        elif ismath:
-            self._draw_mathtext(gc, x, y, s, prop, angle)
-
-        elif angle==90:
-            self._draw_rotated_text(gc, x, y, s, prop, angle)
-
-        else:
-            layout, inkRect, logicalRect = self._get_pango_layout(s, prop)
-            l, b, w, h = inkRect
-            if (x + w > self.width or y + h > self.height):
-                return
-
-            self.gdkDrawable.draw_layout(gc.gdkGC, x, y-h-b, layout)
-
-
-    def _draw_mathtext(self, gc, x, y, s, prop, angle):
-        ox, oy, width, height, descent, font_image, used_characters = \
-            self.mathtext_parser.parse(s, self.dpi, prop)
-
-        if angle==90:
-            width, height = height, width
-            x -= width
-        y -= height
-
-        imw = font_image.get_width()
-        imh = font_image.get_height()
-        N = imw * imh
-
-        # a numpixels by num fonts array
-        Xall = np.zeros((N,1), np.uint8)
-
-        image_str = font_image.as_str()
-        Xall[:,0] = np.fromstring(image_str, np.uint8)
-
-        # get the max alpha at each pixel
-        Xs = np.amax(Xall,axis=1)
-
-        # convert it to it's proper shape
-        Xs.shape = imh, imw
-
-        pixbuf = gtk.gdk.Pixbuf(gtk.gdk.COLORSPACE_RGB, has_alpha=True,
-                                bits_per_sample=8, width=imw, height=imh)
-
-        array = pixbuf_get_pixels_array(pixbuf)
-
-        rgb = gc.get_rgb()
-        array[:,:,0]=int(rgb[0]*255)
-        array[:,:,1]=int(rgb[1]*255)
-        array[:,:,2]=int(rgb[2]*255)
-        array[:,:,3]=Xs
-
-        try: # new in 2.2
-            # can use None instead of gc.gdkGC, if don't need clipping
-            self.gdkDrawable.draw_pixbuf (gc.gdkGC, pixbuf, 0, 0,
-                                          int(x), int(y), imw, imh,
-                                          gdk.RGB_DITHER_NONE, 0, 0)
-        except AttributeError:
-            # deprecated in 2.2
-            pixbuf.render_to_drawable(self.gdkDrawable, gc.gdkGC, 0, 0,
-                                  int(x), int(y), imw, imh,
-                                  gdk.RGB_DITHER_NONE, 0, 0)
-
-
-    def _draw_rotated_text(self, gc, x, y, s, prop, angle):
-        """
-        Draw the text rotated 90 degrees, other angles are not supported
-        """
-        # this function (and its called functions) is a bottleneck
-        # Pango 1.6 supports rotated text, but pygtk 2.4.0 does not yet have
-        # wrapper functions
-        # GTK+ 2.6 pixbufs support rotation
-
-        gdrawable = self.gdkDrawable
-        ggc = gc.gdkGC
-
-        layout, inkRect, logicalRect = self._get_pango_layout(s, prop)
-        l, b, w, h = inkRect
-        x = int(x-h)
-        y = int(y-w)
-
-        if (x < 0 or y < 0 or # window has shrunk and text is off the edge
-            x + w > self.width or y + h > self.height):
-            return
-
-        key = (x,y,s,angle,hash(prop))
-        imageVert = self.rotated.get(key)
-        if imageVert != None:
-            gdrawable.draw_image(ggc, imageVert, 0, 0, x, y, h, w)
-            return
-
-        imageBack = gdrawable.get_image(x, y, w, h)
-        imageVert = gdrawable.get_image(x, y, h, w)
-        imageFlip = gtk.gdk.Image(type=gdk.IMAGE_FASTEST,
-                                  visual=gdrawable.get_visual(),
-                                  width=w, height=h)
-        if imageFlip == None or imageBack == None or imageVert == None:
-            warnings.warn("Could not renderer vertical text")
-            return
-        imageFlip.set_colormap(self._cmap)
-        for i in range(w):
-            for j in range(h):
-                imageFlip.put_pixel(i, j, imageVert.get_pixel(j,w-i-1) )
-
-        gdrawable.draw_image(ggc, imageFlip, 0, 0, x, y, w, h)
-        gdrawable.draw_layout(ggc, x, y-b, layout)
-
-        imageIn  = gdrawable.get_image(x, y, w, h)
-        for i in range(w):
-            for j in range(h):
-                imageVert.put_pixel(j, i, imageIn.get_pixel(w-i-1,j) )
-
-        gdrawable.draw_image(ggc, imageBack, 0, 0, x, y, w, h)
-        gdrawable.draw_image(ggc, imageVert, 0, 0, x, y, h, w)
-        self.rotated[key] = imageVert
-
-
-    def _get_pango_layout(self, s, prop):
-        """
-        Create a pango layout instance for Text 's' with properties 'prop'.
-        Return - pango layout (from cache if already exists)
-
-        Note that pango assumes a logical DPI of 96
-        Ref: pango/fonts.c/pango_font_description_set_size() manual page
-        """
-        # problem? - cache gets bigger and bigger, is never cleared out
-        # two (not one) layouts are created for every text item s (then they
-        # are cached) - why?
-
-        key = self.dpi, s, hash(prop)
-        value = self.layoutd.get(key)
-        if value != None:
-            return value
-
-        size = prop.get_size_in_points() * self.dpi / 96.0
-        size = round(size)
-
-        font_str = '%s, %s %i' % (prop.get_name(), prop.get_style(), size,)
-        font = pango.FontDescription(font_str)
-
-        # later - add fontweight to font_str
-        font.set_weight(self.fontweights[prop.get_weight()])
-
-        layout = self.gtkDA.create_pango_layout(s)
-        layout.set_font_description(font)
-        inkRect, logicalRect = layout.get_pixel_extents()
-
-        self.layoutd[key] = layout, inkRect, logicalRect
-        return layout, inkRect, logicalRect
-
-
-    def flipy(self):
-        return True
-
-    def get_canvas_width_height(self):
-        return self.width, self.height
-
-    def get_text_width_height_descent(self, s, prop, ismath):
-        if ismath:
-            ox, oy, width, height, descent, font_image, used_characters = \
-                self.mathtext_parser.parse(s, self.dpi, prop)
-            return width, height, descent
-
-        layout, inkRect, logicalRect = self._get_pango_layout(s, prop)
-        l, b, w, h = inkRect
-        ll, lb, lw, lh = logicalRect
-
-        return w, h + 1, h - lh
-
-    def new_gc(self):
-        return GraphicsContextGDK(renderer=self)
-
-
-    def points_to_pixels(self, points):
-        return points/72.0 * self.dpi
-
-
-class GraphicsContextGDK(GraphicsContextBase):
-    # a cache shared by all class instances
-    _cached = {}  # map: rgb color -> gdk.Color
-
-    _joind = {
-        'bevel' : gdk.JOIN_BEVEL,
-        'miter' : gdk.JOIN_MITER,
-        'round' : gdk.JOIN_ROUND,
-        }
-
-    _capd = {
-        'butt'       : gdk.CAP_BUTT,
-        'projecting' : gdk.CAP_PROJECTING,
-        'round'      : gdk.CAP_ROUND,
-        }
-
-
-    def __init__(self, renderer):
-        GraphicsContextBase.__init__(self)
-        self.renderer = renderer
-        self.gdkGC    = gtk.gdk.GC(renderer.gdkDrawable)
-        self._cmap    = renderer._cmap
-
-
-    def rgb_to_gdk_color(self, rgb):
-        """
-        rgb - an RGB tuple (three 0.0-1.0 values)
-        return an allocated gtk.gdk.Color
-        """
-        try:
-            return self._cached[tuple(rgb)]
-        except KeyError:
-            color = self._cached[tuple(rgb)] = \
-                    self._cmap.alloc_color(
-                        int(rgb[0]*65535),int(rgb[1]*65535),int(rgb[2]*65535))
-            return color
-
-
-    #def set_antialiased(self, b):
-        # anti-aliasing is not supported by GDK
-
-    def set_capstyle(self, cs):
-        GraphicsContextBase.set_capstyle(self, cs)
-        self.gdkGC.cap_style = self._capd[self._capstyle]
-
-
-    def set_clip_rectangle(self, rectangle):
-        GraphicsContextBase.set_clip_rectangle(self, rectangle)
-        if rectangle is None:
-            return
-        l,b,w,h = rectangle.bounds
-        rectangle = (int(l), self.renderer.height-int(b+h)+1,
-                     int(w), int(h))
-        #rectangle = (int(l), self.renderer.height-int(b+h),
-        #             int(w+1), int(h+2))
-        self.gdkGC.set_clip_rectangle(rectangle)
-
-    def set_dashes(self, dash_offset, dash_list):
-        GraphicsContextBase.set_dashes(self, dash_offset, dash_list)
-
-        if dash_list == None:
-            self.gdkGC.line_style = gdk.LINE_SOLID
-        else:
-            pixels = self.renderer.points_to_pixels(np.asarray(dash_list))
-            dl = [max(1, int(round(val))) for val in pixels]
-            self.gdkGC.set_dashes(dash_offset, dl)
-            self.gdkGC.line_style = gdk.LINE_ON_OFF_DASH
-
-
-    def set_foreground(self, fg, isRGBA=False):
-        GraphicsContextBase.set_foreground(self, fg, isRGBA)
-        self.gdkGC.foreground = self.rgb_to_gdk_color(self.get_rgb())
-
-
-    def set_graylevel(self, frac):
-        GraphicsContextBase.set_graylevel(self, frac)
-        self.gdkGC.foreground = self.rgb_to_gdk_color(self.get_rgb())
-
-
-    def set_joinstyle(self, js):
-        GraphicsContextBase.set_joinstyle(self, js)
-        self.gdkGC.join_style = self._joind[self._joinstyle]
-
-
-    def set_linewidth(self, w):
-        GraphicsContextBase.set_linewidth(self, w)
-        if w == 0:
-            self.gdkGC.line_width = 0
-        else:
-            pixels = self.renderer.points_to_pixels(w)
-            self.gdkGC.line_width = max(1, int(round(pixels)))
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas  = FigureCanvasGDK(figure)
-    manager = FigureManagerBase(canvas, num)
-    return manager
-
-
-class FigureCanvasGDK (FigureCanvasBase):
-    def __init__(self, figure):
-        FigureCanvasBase.__init__(self, figure)
-
-        self._renderer_init()
-
-    def _renderer_init(self):
-        self._renderer = RendererGDK (gtk.DrawingArea(), self.figure.dpi)
-
-    def _render_figure(self, pixmap, width, height):
-        self._renderer.set_pixmap (pixmap)
-        self._renderer.set_width_height (width, height)
-        self.figure.draw (self._renderer)
-
-    filetypes = FigureCanvasBase.filetypes.copy()
-    filetypes['jpg'] = 'JPEG'
-    filetypes['jpeg'] = 'JPEG'
-
-    def print_jpeg(self, filename, *args, **kwargs):
-        return self._print_image(filename, 'jpeg')
-    print_jpg = print_jpeg
-
-    def print_png(self, filename, *args, **kwargs):
-        return self._print_image(filename, 'png')
-
-    def _print_image(self, filename, format, *args, **kwargs):
-        width, height = self.get_width_height()
-        pixmap = gtk.gdk.Pixmap (None, width, height, depth=24)
-        self._render_figure(pixmap, width, height)
-
-        # jpg colors don't match the display very well, png colors match
-        # better
-        pixbuf = gtk.gdk.Pixbuf(gtk.gdk.COLORSPACE_RGB, 0, 8,
-                                width, height)
-        pixbuf.get_from_drawable(pixmap, pixmap.get_colormap(),
-                                 0, 0, 0, 0, width, height)
-
-        # set the default quality, if we are writing a JPEG.
-        # http://www.pygtk.org/docs/pygtk/class-gdkpixbuf.html#method-gdkpixbuf--save
-        options = cbook.restrict_dict(kwargs, ['quality'])
-        if format in ['jpg','jpeg']:
-           if 'quality' not in options:
-              options['quality'] = rcParams['savefig.jpeg_quality']
-           options['quality'] = str(options['quality'])
-
-        pixbuf.save(filename, format, options=options)
diff --git a/lib/matplotlib/backends/backend_gtk.py b/lib/matplotlib/backends/backend_gtk.py
deleted file mode 100644
index 1a6ee313f546..000000000000
--- a/lib/matplotlib/backends/backend_gtk.py
+++ /dev/null
@@ -1,1071 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os, sys, warnings
-def fn_name(): return sys._getframe(1).f_code.co_name
-
-if six.PY3:
-    warnings.warn(
-        "The gtk* backends have not been tested with Python 3.x",
-        ImportWarning)
-
-try:
-    import gobject
-    import gtk; gdk = gtk.gdk
-    import pango
-except ImportError:
-    raise ImportError("Gtk* backend requires pygtk to be installed.")
-
-pygtk_version_required = (2,4,0)
-if gtk.pygtk_version < pygtk_version_required:
-    raise ImportError ("PyGTK %d.%d.%d is installed\n"
-                      "PyGTK %d.%d.%d or later is required"
-                      % (gtk.pygtk_version + pygtk_version_required))
-del pygtk_version_required
-
-_new_tooltip_api =  (gtk.pygtk_version[1] >= 12)
-
-import matplotlib
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase, \
-     FigureManagerBase, FigureCanvasBase, NavigationToolbar2, cursors, TimerBase
-from matplotlib.backend_bases import ShowBase
-
-from matplotlib.backends.backend_gdk import RendererGDK, FigureCanvasGDK
-from matplotlib.cbook import is_string_like, is_writable_file_like
-from matplotlib.colors import colorConverter
-from matplotlib.figure import Figure
-from matplotlib.widgets import SubplotTool
-
-from matplotlib import lines
-from matplotlib import markers
-from matplotlib import cbook
-from matplotlib import verbose
-from matplotlib import rcParams
-
-backend_version = "%d.%d.%d" % gtk.pygtk_version
-
-_debug = False
-#_debug = True
-
-# the true dots per inch on the screen; should be display dependent
-# see http://groups.google.com/groups?q=screen+dpi+x11&hl=en&lr=&ie=UTF-8&oe=UTF-8&safe=off&selm=7077.26e81ad5%40swift.cs.tcd.ie&rnum=5 for some info about screen dpi
-PIXELS_PER_INCH = 96
-
-# Hide the benign warning that it can't stat a file that doesn't
-warnings.filterwarnings('ignore', '.*Unable to retrieve the file info for.*', gtk.Warning)
-
-cursord = {
-    cursors.MOVE          : gdk.Cursor(gdk.FLEUR),
-    cursors.HAND          : gdk.Cursor(gdk.HAND2),
-    cursors.POINTER       : gdk.Cursor(gdk.LEFT_PTR),
-    cursors.SELECT_REGION : gdk.Cursor(gdk.TCROSS),
-    }
-
-# ref gtk+/gtk/gtkwidget.h
-def GTK_WIDGET_DRAWABLE(w):
-    flags = w.flags();
-    return flags & gtk.VISIBLE != 0 and flags & gtk.MAPPED != 0
-
-
-def draw_if_interactive():
-    """
-    Is called after every pylab drawing command
-    """
-    if matplotlib.is_interactive():
-        figManager =  Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.draw_idle()
-
-
-class Show(ShowBase):
-    def mainloop(self):
-        if gtk.main_level() == 0:
-            gtk.main()
-
-show = Show()
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasGTK(figure)
-    manager = FigureManagerGTK(canvas, num)
-    return manager
-
-
-class TimerGTK(TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses GTK for timer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
-    def _timer_start(self):
-        # Need to stop it, otherwise we potentially leak a timer id that will
-        # never be stopped.
-        self._timer_stop()
-        self._timer = gobject.timeout_add(self._interval, self._on_timer)
-
-    def _timer_stop(self):
-        if self._timer is not None:
-            gobject.source_remove(self._timer)
-            self._timer = None
-
-    def _timer_set_interval(self):
-        # Only stop and restart it if the timer has already been started
-        if self._timer is not None:
-            self._timer_stop()
-            self._timer_start()
-
-    def _on_timer(self):
-        TimerBase._on_timer(self)
-
-        # Gtk timeout_add() requires that the callback returns True if it
-        # is to be called again.
-        if len(self.callbacks) > 0 and not self._single:
-            return True
-        else:
-            self._timer = None
-            return False
-
-
-class FigureCanvasGTK (gtk.DrawingArea, FigureCanvasBase):
-    keyvald = {65507 : 'control',
-               65505 : 'shift',
-               65513 : 'alt',
-               65508 : 'control',
-               65506 : 'shift',
-               65514 : 'alt',
-               65361 : 'left',
-               65362 : 'up',
-               65363 : 'right',
-               65364 : 'down',
-               65307 : 'escape',
-               65470 : 'f1',
-               65471 : 'f2',
-               65472 : 'f3',
-               65473 : 'f4',
-               65474 : 'f5',
-               65475 : 'f6',
-               65476 : 'f7',
-               65477 : 'f8',
-               65478 : 'f9',
-               65479 : 'f10',
-               65480 : 'f11',
-               65481 : 'f12',
-               65300 : 'scroll_lock',
-               65299 : 'break',
-               65288 : 'backspace',
-               65293 : 'enter',
-               65379 : 'insert',
-               65535 : 'delete',
-               65360 : 'home',
-               65367 : 'end',
-               65365 : 'pageup',
-               65366 : 'pagedown',
-               65438 : '0',
-               65436 : '1',
-               65433 : '2',
-               65435 : '3',
-               65430 : '4',
-               65437 : '5',
-               65432 : '6',
-               65429 : '7',
-               65431 : '8',
-               65434 : '9',
-               65451 : '+',
-               65453 : '-',
-               65450 : '*',
-               65455 : '/',
-               65439 : 'dec',
-               65421 : 'enter',
-               65511 : 'super',
-               65512 : 'super',
-               65406 : 'alt',
-               65289 : 'tab',
-               }
-
-    # Setting this as a static constant prevents
-    # this resulting expression from leaking
-    event_mask = (gdk.BUTTON_PRESS_MASK   |
-                  gdk.BUTTON_RELEASE_MASK |
-                  gdk.EXPOSURE_MASK       |
-                  gdk.KEY_PRESS_MASK      |
-                  gdk.KEY_RELEASE_MASK    |
-                  gdk.ENTER_NOTIFY_MASK   |
-                  gdk.LEAVE_NOTIFY_MASK   |
-                  gdk.POINTER_MOTION_MASK |
-                  gdk.POINTER_MOTION_HINT_MASK)
-
-    def __init__(self, figure):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        FigureCanvasBase.__init__(self, figure)
-        gtk.DrawingArea.__init__(self)
-
-        self._idle_draw_id  = 0
-        self._need_redraw   = True
-        self._pixmap_width  = -1
-        self._pixmap_height = -1
-        self._lastCursor    = None
-
-        self.connect('scroll_event',         self.scroll_event)
-        self.connect('button_press_event',   self.button_press_event)
-        self.connect('button_release_event', self.button_release_event)
-        self.connect('configure_event',      self.configure_event)
-        self.connect('expose_event',         self.expose_event)
-        self.connect('key_press_event',      self.key_press_event)
-        self.connect('key_release_event',    self.key_release_event)
-        self.connect('motion_notify_event',  self.motion_notify_event)
-        self.connect('leave_notify_event',   self.leave_notify_event)
-        self.connect('enter_notify_event',   self.enter_notify_event)
-
-        self.set_events(self.__class__.event_mask)
-
-        self.set_double_buffered(False)
-        self.set_flags(gtk.CAN_FOCUS)
-        self._renderer_init()
-
-        self._idle_event_id = gobject.idle_add(self.idle_event)
-
-        self.last_downclick = {}
-
-    def destroy(self):
-        #gtk.DrawingArea.destroy(self)
-        self.close_event()
-        gobject.source_remove(self._idle_event_id)
-        if self._idle_draw_id != 0:
-            gobject.source_remove(self._idle_draw_id)
-
-    def scroll_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.allocation.height - event.y
-        if event.direction==gdk.SCROLL_UP:
-            step = 1
-        else:
-            step = -1
-        FigureCanvasBase.scroll_event(self, x, y, step, guiEvent=event)
-        return False  # finish event propagation?
-
-    def button_press_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.allocation.height - event.y
-        dblclick = (event.type == gdk._2BUTTON_PRESS)
-        if not dblclick:
-            # GTK is the only backend that generates a DOWN-UP-DOWN-DBLCLICK-UP  event
-            # sequence for a double click.  All other backends have a DOWN-UP-DBLCLICK-UP
-            # sequence.  In order to provide consistency to matplotlib users, we will
-            # eat the extra DOWN event in the case that we detect it is part of a double
-            # click.
-            # first, get the double click time in milliseconds.
-            current_time  = event.get_time()
-            last_time     = self.last_downclick.get(event.button,0)
-            dblclick_time = gtk.settings_get_for_screen(gdk.screen_get_default()).get_property('gtk-double-click-time')
-            delta_time    = current_time-last_time
-            if delta_time < dblclick_time:
-                del self.last_downclick[event.button] # we do not want to eat more than one event.
-                return False                          # eat.
-            self.last_downclick[event.button] = current_time
-        FigureCanvasBase.button_press_event(self, x, y, event.button, dblclick=dblclick, guiEvent=event)
-        return False  # finish event propagation?
-
-    def button_release_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.allocation.height - event.y
-        FigureCanvasBase.button_release_event(self, x, y, event.button, guiEvent=event)
-        return False  # finish event propagation?
-
-    def key_press_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        key = self._get_key(event)
-        if _debug: print("hit", key)
-        FigureCanvasBase.key_press_event(self, key, guiEvent=event)
-        return False  # finish event propagation?
-
-    def key_release_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        key = self._get_key(event)
-        if _debug: print("release", key)
-        FigureCanvasBase.key_release_event(self, key, guiEvent=event)
-        return False  # finish event propagation?
-
-    def motion_notify_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        if event.is_hint:
-            x, y, state = event.window.get_pointer()
-        else:
-            x, y, state = event.x, event.y, event.state
-
-        # flipy so y=0 is bottom of canvas
-        y = self.allocation.height - y
-        FigureCanvasBase.motion_notify_event(self, x, y, guiEvent=event)
-        return False  # finish event propagation?
-
-    def leave_notify_event(self, widget, event):
-        FigureCanvasBase.leave_notify_event(self, event)
-
-    def enter_notify_event(self, widget, event):
-        x, y, state = event.window.get_pointer()
-        FigureCanvasBase.enter_notify_event(self, event, xy=(x, y))
-
-    def _get_key(self, event):
-        if event.keyval in self.keyvald:
-            key = self.keyvald[event.keyval]
-        elif event.keyval < 256:
-            key = chr(event.keyval)
-        else:
-            key = None
-
-        for key_mask, prefix in (
-                                 [gdk.MOD4_MASK, 'super'],
-                                 [gdk.MOD1_MASK, 'alt'],
-                                 [gdk.CONTROL_MASK, 'ctrl'], ):
-            if event.state & key_mask:
-                key = '{0}+{1}'.format(prefix, key)
-
-        return key
-
-    def configure_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-        if widget.window is None:
-            return
-        w, h = event.width, event.height
-        if w < 3 or h < 3:
-            return # empty fig
-
-        # resize the figure (in inches)
-        dpi = self.figure.dpi
-        self.figure.set_size_inches (w/dpi, h/dpi)
-        self._need_redraw = True
-
-        return False  # finish event propagation?
-
-    def draw(self):
-        # Note: FigureCanvasBase.draw() is inconveniently named as it clashes
-        # with the deprecated gtk.Widget.draw()
-
-        self._need_redraw = True
-        if GTK_WIDGET_DRAWABLE(self):
-            self.queue_draw()
-            # do a synchronous draw (its less efficient than an async draw,
-            # but is required if/when animation is used)
-            self.window.process_updates (False)
-
-    def draw_idle(self):
-        def idle_draw(*args):
-            try:
-                self.draw()
-            finally:
-                self._idle_draw_id = 0
-            return False
-        if self._idle_draw_id == 0:
-            self._idle_draw_id = gobject.idle_add(idle_draw)
-
-
-    def _renderer_init(self):
-        """Override by GTK backends to select a different renderer
-        Renderer should provide the methods:
-            set_pixmap ()
-            set_width_height ()
-        that are used by
-            _render_figure() / _pixmap_prepare()
-        """
-        self._renderer = RendererGDK (self, self.figure.dpi)
-
-
-    def _pixmap_prepare(self, width, height):
-        """
-        Make sure _._pixmap is at least width, height,
-        create new pixmap if necessary
-        """
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-
-        create_pixmap = False
-        if width > self._pixmap_width:
-            # increase the pixmap in 10%+ (rather than 1 pixel) steps
-            self._pixmap_width  = max (int (self._pixmap_width  * 1.1),
-                                       width)
-            create_pixmap = True
-
-        if height > self._pixmap_height:
-            self._pixmap_height = max (int (self._pixmap_height * 1.1),
-                                           height)
-            create_pixmap = True
-
-        if create_pixmap:
-            self._pixmap = gdk.Pixmap (self.window, self._pixmap_width,
-                                       self._pixmap_height)
-            self._renderer.set_pixmap (self._pixmap)
-
-
-    def _render_figure(self, pixmap, width, height):
-        """used by GTK and GTKcairo. GTKAgg overrides
-        """
-        self._renderer.set_width_height (width, height)
-        self.figure.draw (self._renderer)
-
-
-    def expose_event(self, widget, event):
-        """Expose_event for all GTK backends. Should not be overridden.
-        """
-        if _debug: print('FigureCanvasGTK.%s' % fn_name())
-
-        if GTK_WIDGET_DRAWABLE(self):
-            if self._need_redraw:
-                x, y, w, h = self.allocation
-                self._pixmap_prepare (w, h)
-                self._render_figure(self._pixmap, w, h)
-                self._need_redraw = False
-
-            x, y, w, h = event.area
-            self.window.draw_drawable (self.style.fg_gc[self.state],
-                                       self._pixmap, x, y, x, y, w, h)
-        return False  # finish event propagation?
-
-    filetypes = FigureCanvasBase.filetypes.copy()
-    filetypes['jpg'] = 'JPEG'
-    filetypes['jpeg'] = 'JPEG'
-    filetypes['png'] = 'Portable Network Graphics'
-
-    def print_jpeg(self, filename, *args, **kwargs):
-        return self._print_image(filename, 'jpeg')
-    print_jpg = print_jpeg
-
-    def print_png(self, filename, *args, **kwargs):
-        return self._print_image(filename, 'png')
-
-    def _print_image(self, filename, format, *args, **kwargs):
-        if self.flags() & gtk.REALIZED == 0:
-            # for self.window(for pixmap) and has a side effect of altering
-            # figure width,height (via configure-event?)
-            gtk.DrawingArea.realize(self)
-
-        width, height = self.get_width_height()
-        pixmap = gdk.Pixmap (self.window, width, height)
-        self._renderer.set_pixmap (pixmap)
-        self._render_figure(pixmap, width, height)
-
-        # jpg colors don't match the display very well, png colors match
-        # better
-        pixbuf = gdk.Pixbuf(gdk.COLORSPACE_RGB, 0, 8, width, height)
-        pixbuf.get_from_drawable(pixmap, pixmap.get_colormap(),
-                                     0, 0, 0, 0, width, height)
-
-        # set the default quality, if we are writing a JPEG.
-        # http://www.pygtk.org/docs/pygtk/class-gdkpixbuf.html#method-gdkpixbuf--save
-        options = cbook.restrict_dict(kwargs, ['quality'])
-        if format in ['jpg','jpeg']:
-           if 'quality' not in options:
-              options['quality'] = rcParams['savefig.jpeg_quality']
-
-           options['quality'] = str(options['quality'])
-
-        if is_string_like(filename):
-            try:
-                pixbuf.save(filename, format, options=options)
-            except gobject.GError as exc:
-                error_msg_gtk('Save figure failure:\n%s' % (exc,), parent=self)
-        elif is_writable_file_like(filename):
-            if hasattr(pixbuf, 'save_to_callback'):
-                def save_callback(buf, data=None):
-                    data.write(buf)
-                try:
-                    pixbuf.save_to_callback(save_callback, format, user_data=filename, options=options)
-                except gobject.GError as exc:
-                    error_msg_gtk('Save figure failure:\n%s' % (exc,), parent=self)
-            else:
-                raise ValueError("Saving to a Python file-like object is only supported by PyGTK >= 2.8")
-        else:
-            raise ValueError("filename must be a path or a file-like object")
-
-    def new_timer(self, *args, **kwargs):
-        """
-        Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
-        This is useful for getting periodic events through the backend's native
-        event loop. Implemented only for backends with GUIs.
-
-        optional arguments:
-
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
-        """
-        return TimerGTK(*args, **kwargs)
-
-    def flush_events(self):
-        gtk.gdk.threads_enter()
-        while gtk.events_pending():
-            gtk.main_iteration(True)
-        gtk.gdk.flush()
-        gtk.gdk.threads_leave()
-
-    def start_event_loop(self,timeout):
-        FigureCanvasBase.start_event_loop_default(self,timeout)
-    start_event_loop.__doc__=FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__=FigureCanvasBase.stop_event_loop_default.__doc__
-
-class FigureManagerGTK(FigureManagerBase):
-    """
-    Public attributes
-
-    canvas      : The FigureCanvas instance
-    num         : The Figure number
-    toolbar     : The gtk.Toolbar  (gtk only)
-    vbox        : The gtk.VBox containing the canvas and toolbar (gtk only)
-    window      : The gtk.Window   (gtk only)
-    """
-    def __init__(self, canvas, num):
-        if _debug: print('FigureManagerGTK.%s' % fn_name())
-        FigureManagerBase.__init__(self, canvas, num)
-
-        self.window = gtk.Window()
-        self.set_window_title("Figure %d" % num)
-        if (window_icon):
-            try:
-                self.window.set_icon_from_file(window_icon)
-            except:
-                # some versions of gtk throw a glib.GError but not
-                # all, so I am not sure how to catch it.  I am unhappy
-                # diong a blanket catch here, but an not sure what a
-                # better way is - JDH
-                verbose.report('Could not load matplotlib icon: %s' % sys.exc_info()[1])
-
-        self.vbox = gtk.VBox()
-        self.window.add(self.vbox)
-        self.vbox.show()
-
-        self.canvas.show()
-
-        self.vbox.pack_start(self.canvas, True, True)
-
-        self.toolbar = self._get_toolbar(canvas)
-
-        # calculate size for window
-        w = int (self.canvas.figure.bbox.width)
-        h = int (self.canvas.figure.bbox.height)
-
-        if self.toolbar is not None:
-            self.toolbar.show()
-            self.vbox.pack_end(self.toolbar, False, False)
-
-            tb_w, tb_h = self.toolbar.size_request()
-            h += tb_h
-        self.window.set_default_size (w, h)
-
-        def destroy(*args):
-            Gcf.destroy(num)
-        self.window.connect("destroy", destroy)
-        self.window.connect("delete_event", destroy)
-        if matplotlib.is_interactive():
-            self.window.show()
-
-        def notify_axes_change(fig):
-            'this will be called whenever the current axes is changed'
-            if self.toolbar is not None: self.toolbar.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
-
-        self.canvas.grab_focus()
-
-    def destroy(self, *args):
-        if _debug: print('FigureManagerGTK.%s' % fn_name())
-        if hasattr(self, 'toolbar') and self.toolbar is not None:
-            self.toolbar.destroy()
-        if hasattr(self, 'vbox'):
-            self.vbox.destroy()
-        if hasattr(self, 'window'):
-            self.window.destroy()
-        if hasattr(self, 'canvas'):
-            self.canvas.destroy()
-        self.__dict__.clear()   #Is this needed? Other backends don't have it.
-
-        if Gcf.get_num_fig_managers()==0 and \
-               not matplotlib.is_interactive() and \
-               gtk.main_level() >= 1:
-            gtk.main_quit()
-
-    def show(self):
-        # show the figure window
-        self.window.show()
-
-    def full_screen_toggle(self):
-        self._full_screen_flag = not self._full_screen_flag
-        if self._full_screen_flag:
-            self.window.fullscreen()
-        else:
-            self.window.unfullscreen()
-    _full_screen_flag = False
-
-
-    def _get_toolbar(self, canvas):
-        # must be inited after the window, drawingArea and figure
-        # attrs are set
-        if rcParams['toolbar'] == 'toolbar2':
-            toolbar = NavigationToolbar2GTK (canvas, self.window)
-        else:
-            toolbar = None
-        return toolbar
-
-    def get_window_title(self):
-        return self.window.get_title()
-
-    def set_window_title(self, title):
-        self.window.set_title(title)
-
-    def resize(self, width, height):
-        'set the canvas size in pixels'
-        #_, _, cw, ch = self.canvas.allocation
-        #_, _, ww, wh = self.window.allocation
-        #self.window.resize (width-cw+ww, height-ch+wh)
-        self.window.resize(width, height)
-
-
-class NavigationToolbar2GTK(NavigationToolbar2, gtk.Toolbar):
-    def __init__(self, canvas, window):
-        self.win = window
-        gtk.Toolbar.__init__(self)
-        NavigationToolbar2.__init__(self, canvas)
-
-    def set_message(self, s):
-        self.message.set_label(s)
-
-    def set_cursor(self, cursor):
-        self.canvas.window.set_cursor(cursord[cursor])
-
-    def release(self, event):
-        try: del self._pixmapBack
-        except AttributeError: pass
-
-    def dynamic_update(self):
-        # legacy method; new method is canvas.draw_idle
-        self.canvas.draw_idle()
-
-    def draw_rubberband(self, event, x0, y0, x1, y1):
-        'adapted from http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/189744'
-        drawable = self.canvas.window
-        if drawable is None:
-            return
-
-        gc = drawable.new_gc()
-
-        height = self.canvas.figure.bbox.height
-        y1 = height - y1
-        y0 = height - y0
-
-        w = abs(x1 - x0)
-        h = abs(y1 - y0)
-
-        rect = [int(val)for val in (min(x0,x1), min(y0, y1), w, h)]
-        try:
-            lastrect, pixmapBack = self._pixmapBack
-        except AttributeError:
-            #snap image back
-            if event.inaxes is None:
-                return
-
-            ax = event.inaxes
-            l,b,w,h = [int(val) for val in ax.bbox.bounds]
-            b = int(height)-(b+h)
-            axrect = l,b,w,h
-            self._pixmapBack = axrect, gtk.gdk.Pixmap(drawable, w, h)
-            self._pixmapBack[1].draw_drawable(gc, drawable, l, b, 0, 0, w, h)
-        else:
-            drawable.draw_drawable(gc, pixmapBack, 0, 0, *lastrect)
-        drawable.draw_rectangle(gc, False, *rect)
-
-
-    def _init_toolbar(self):
-        self.set_style(gtk.TOOLBAR_ICONS)
-        self._init_toolbar2_4()
-
-
-    def _init_toolbar2_4(self):
-        basedir = os.path.join(rcParams['datapath'],'images')
-        if not _new_tooltip_api:
-            self.tooltips = gtk.Tooltips()
-
-        for text, tooltip_text, image_file, callback in self.toolitems:
-            if text is None:
-                self.insert( gtk.SeparatorToolItem(), -1 )
-                continue
-            fname = os.path.join(basedir, image_file + '.png')
-            image = gtk.Image()
-            image.set_from_file(fname)
-            tbutton = gtk.ToolButton(image, text)
-            self.insert(tbutton, -1)
-            tbutton.connect('clicked', getattr(self, callback))
-            if _new_tooltip_api:
-                tbutton.set_tooltip_text(tooltip_text)
-            else:
-                tbutton.set_tooltip(self.tooltips, tooltip_text, 'Private')
-
-        toolitem = gtk.SeparatorToolItem()
-        self.insert(toolitem, -1)
-        # set_draw() not making separator invisible,
-        # bug #143692 fixed Jun 06 2004, will be in GTK+ 2.6
-        toolitem.set_draw(False)
-        toolitem.set_expand(True)
-
-        toolitem = gtk.ToolItem()
-        self.insert(toolitem, -1)
-        self.message = gtk.Label()
-        toolitem.add(self.message)
-
-        self.show_all()
-
-    def get_filechooser(self):
-        fc = FileChooserDialog(
-            title='Save the figure',
-            parent=self.win,
-            path=os.path.expanduser(rcParams.get('savefig.directory', '')),
-            filetypes=self.canvas.get_supported_filetypes(),
-            default_filetype=self.canvas.get_default_filetype())
-        fc.set_current_name(self.canvas.get_default_filename())
-        return fc
-
-    def save_figure(self, *args):
-        chooser = self.get_filechooser()
-        fname, format = chooser.get_filename_from_user()
-        chooser.destroy()
-        if fname:
-            startpath = os.path.expanduser(rcParams.get('savefig.directory', ''))
-            if startpath == '':
-                # explicitly missing key or empty str signals to use cwd
-                rcParams['savefig.directory'] = startpath
-            else:
-                # save dir for next time
-                rcParams['savefig.directory'] = os.path.dirname(six.text_type(fname))
-            try:
-                self.canvas.print_figure(fname, format=format)
-            except Exception as e:
-                error_msg_gtk(str(e), parent=self)
-
-    def configure_subplots(self, button):
-        toolfig = Figure(figsize=(6,3))
-        canvas = self._get_canvas(toolfig)
-        toolfig.subplots_adjust(top=0.9)
-        tool =  SubplotTool(self.canvas.figure, toolfig)
-
-        w = int (toolfig.bbox.width)
-        h = int (toolfig.bbox.height)
-
-
-        window = gtk.Window()
-        if (window_icon):
-            try: window.set_icon_from_file(window_icon)
-            except:
-                # we presumably already logged a message on the
-                # failure of the main plot, don't keep reporting
-                pass
-        window.set_title("Subplot Configuration Tool")
-        window.set_default_size(w, h)
-        vbox = gtk.VBox()
-        window.add(vbox)
-        vbox.show()
-
-        canvas.show()
-        vbox.pack_start(canvas, True, True)
-        window.show()
-
-    def _get_canvas(self, fig):
-        return FigureCanvasGTK(fig)
-
-
-class FileChooserDialog(gtk.FileChooserDialog):
-    """GTK+ 2.4 file selector which presents the user with a menu
-    of supported image formats
-    """
-    def __init__ (self,
-                  title   = 'Save file',
-                  parent  = None,
-                  action  = gtk.FILE_CHOOSER_ACTION_SAVE,
-                  buttons = (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
-                             gtk.STOCK_SAVE,   gtk.RESPONSE_OK),
-                  path    = None,
-                  filetypes = [],
-                  default_filetype = None
-                  ):
-        super(FileChooserDialog, self).__init__ (title, parent, action,
-                                                 buttons)
-        super(FileChooserDialog, self).set_do_overwrite_confirmation(True)
-        self.set_default_response (gtk.RESPONSE_OK)
-
-        if not path: path = os.getcwd() + os.sep
-
-        # create an extra widget to list supported image formats
-        self.set_current_folder (path)
-        self.set_current_name ('image.' + default_filetype)
-
-        hbox = gtk.HBox (spacing=10)
-        hbox.pack_start (gtk.Label ("File Format:"), expand=False)
-
-        liststore = gtk.ListStore(gobject.TYPE_STRING)
-        cbox = gtk.ComboBox(liststore)
-        cell = gtk.CellRendererText()
-        cbox.pack_start(cell, True)
-        cbox.add_attribute(cell, 'text', 0)
-        hbox.pack_start (cbox)
-
-        self.filetypes = filetypes
-        self.sorted_filetypes = list(six.iteritems(filetypes))
-        self.sorted_filetypes.sort()
-        default = 0
-        for i, (ext, name) in enumerate(self.sorted_filetypes):
-            cbox.append_text ("%s (*.%s)" % (name, ext))
-            if ext == default_filetype:
-                default = i
-        cbox.set_active(default)
-        self.ext = default_filetype
-
-        def cb_cbox_changed (cbox, data=None):
-            """File extension changed"""
-            head, filename = os.path.split(self.get_filename())
-            root, ext = os.path.splitext(filename)
-            ext = ext[1:]
-            new_ext = self.sorted_filetypes[cbox.get_active()][0]
-            self.ext = new_ext
-
-            if ext in self.filetypes:
-                filename = root + '.' + new_ext
-            elif ext == '':
-                filename = filename.rstrip('.') + '.' + new_ext
-
-            self.set_current_name (filename)
-        cbox.connect ("changed", cb_cbox_changed)
-
-        hbox.show_all()
-        self.set_extra_widget(hbox)
-
-    def get_filename_from_user (self):
-        while True:
-            filename = None
-            if self.run() != int(gtk.RESPONSE_OK):
-                break
-            filename = self.get_filename()
-            break
-
-        return filename, self.ext
-
-class DialogLineprops(object):
-    """
-    A GUI dialog for controlling lineprops
-    """
-    signals = (
-        'on_combobox_lineprops_changed',
-        'on_combobox_linestyle_changed',
-        'on_combobox_marker_changed',
-        'on_colorbutton_linestyle_color_set',
-        'on_colorbutton_markerface_color_set',
-        'on_dialog_lineprops_okbutton_clicked',
-        'on_dialog_lineprops_cancelbutton_clicked',
-        )
-
-    linestyles = [ls for ls in lines.Line2D.lineStyles if ls.strip()]
-    linestyled = dict([ (s,i) for i,s in enumerate(linestyles)])
-
-
-    markers =  [m for m in markers.MarkerStyle.markers if cbook.is_string_like(m)]
-
-    markerd = dict([(s,i) for i,s in enumerate(markers)])
-
-    def __init__(self, lines):
-        import gtk.glade
-
-        datadir = matplotlib.get_data_path()
-        gladefile = os.path.join(datadir, 'lineprops.glade')
-        if not os.path.exists(gladefile):
-            raise IOError('Could not find gladefile lineprops.glade in %s'%datadir)
-
-        self._inited = False
-        self._updateson = True # suppress updates when setting widgets manually
-        self.wtree = gtk.glade.XML(gladefile, 'dialog_lineprops')
-        self.wtree.signal_autoconnect(dict([(s, getattr(self, s)) for s in self.signals]))
-
-        self.dlg = self.wtree.get_widget('dialog_lineprops')
-
-        self.lines = lines
-
-        cbox = self.wtree.get_widget('combobox_lineprops')
-        cbox.set_active(0)
-        self.cbox_lineprops = cbox
-
-        cbox = self.wtree.get_widget('combobox_linestyles')
-        for ls in self.linestyles:
-            cbox.append_text(ls)
-        cbox.set_active(0)
-        self.cbox_linestyles = cbox
-
-        cbox = self.wtree.get_widget('combobox_markers')
-        for m in self.markers:
-            cbox.append_text(m)
-        cbox.set_active(0)
-        self.cbox_markers = cbox
-        self._lastcnt = 0
-        self._inited = True
-
-
-    def show(self):
-        'populate the combo box'
-        self._updateson = False
-        # flush the old
-        cbox = self.cbox_lineprops
-        for i in range(self._lastcnt-1,-1,-1):
-            cbox.remove_text(i)
-
-        # add the new
-        for line in self.lines:
-            cbox.append_text(line.get_label())
-        cbox.set_active(0)
-
-        self._updateson = True
-        self._lastcnt = len(self.lines)
-        self.dlg.show()
-
-    def get_active_line(self):
-        'get the active line'
-        ind = self.cbox_lineprops.get_active()
-        line = self.lines[ind]
-        return line
-
-
-    def get_active_linestyle(self):
-        'get the active lineinestyle'
-        ind = self.cbox_linestyles.get_active()
-        ls = self.linestyles[ind]
-        return ls
-
-    def get_active_marker(self):
-        'get the active lineinestyle'
-        ind = self.cbox_markers.get_active()
-        m = self.markers[ind]
-        return m
-
-    def _update(self):
-        'update the active line props from the widgets'
-        if not self._inited or not self._updateson: return
-        line = self.get_active_line()
-        ls = self.get_active_linestyle()
-        marker = self.get_active_marker()
-        line.set_linestyle(ls)
-        line.set_marker(marker)
-
-        button = self.wtree.get_widget('colorbutton_linestyle')
-        color = button.get_color()
-        r, g, b = [val/65535. for val in (color.red, color.green, color.blue)]
-        line.set_color((r,g,b))
-
-        button = self.wtree.get_widget('colorbutton_markerface')
-        color = button.get_color()
-        r, g, b = [val/65535. for val in (color.red, color.green, color.blue)]
-        line.set_markerfacecolor((r,g,b))
-
-        line.figure.canvas.draw()
-
-
-
-    def on_combobox_lineprops_changed(self, item):
-        'update the widgets from the active line'
-        if not self._inited: return
-        self._updateson = False
-        line = self.get_active_line()
-
-        ls = line.get_linestyle()
-        if ls is None: ls = 'None'
-        self.cbox_linestyles.set_active(self.linestyled[ls])
-
-        marker = line.get_marker()
-        if marker is None: marker = 'None'
-        self.cbox_markers.set_active(self.markerd[marker])
-
-        r,g,b = colorConverter.to_rgb(line.get_color())
-        color = gtk.gdk.Color(*[int(val*65535) for val in (r,g,b)])
-        button = self.wtree.get_widget('colorbutton_linestyle')
-        button.set_color(color)
-
-        r,g,b = colorConverter.to_rgb(line.get_markerfacecolor())
-        color = gtk.gdk.Color(*[int(val*65535) for val in (r,g,b)])
-        button = self.wtree.get_widget('colorbutton_markerface')
-        button.set_color(color)
-        self._updateson = True
-
-    def on_combobox_linestyle_changed(self, item):
-        self._update()
-
-    def on_combobox_marker_changed(self, item):
-        self._update()
-
-    def on_colorbutton_linestyle_color_set(self, button):
-        self._update()
-
-    def on_colorbutton_markerface_color_set(self, button):
-        'called colorbutton marker clicked'
-        self._update()
-
-    def on_dialog_lineprops_okbutton_clicked(self, button):
-        self._update()
-        self.dlg.hide()
-
-    def on_dialog_lineprops_cancelbutton_clicked(self, button):
-        self.dlg.hide()
-
-# set icon used when windows are minimized
-# Unfortunately, the SVG renderer (rsvg) leaks memory under earlier
-# versions of pygtk, so we have to use a PNG file instead.
-try:
-
-    if gtk.pygtk_version < (2, 8, 0) or sys.platform == 'win32':
-        icon_filename = 'matplotlib.png'
-    else:
-        icon_filename = 'matplotlib.svg'
-    window_icon = os.path.join(rcParams['datapath'], 'images', icon_filename)
-except:
-    window_icon = None
-    verbose.report('Could not load matplotlib icon: %s' % sys.exc_info()[1])
-
-def error_msg_gtk(msg, parent=None):
-    if parent is not None: # find the toplevel gtk.Window
-        parent = parent.get_toplevel()
-        if parent.flags() & gtk.TOPLEVEL == 0:
-            parent = None
-
-    if not is_string_like(msg):
-        msg = ','.join(map(str,msg))
-
-    dialog = gtk.MessageDialog(
-        parent         = parent,
-        type           = gtk.MESSAGE_ERROR,
-        buttons        = gtk.BUTTONS_OK,
-        message_format = msg)
-    dialog.run()
-    dialog.destroy()
-
-
-FigureCanvas = FigureCanvasGTK
-FigureManager = FigureManagerGTK
diff --git a/lib/matplotlib/backends/backend_gtk3.py b/lib/matplotlib/backends/backend_gtk3.py
index 4d32873f19d7..888f5a770f5d 100644
--- a/lib/matplotlib/backends/backend_gtk3.py
+++ b/lib/matplotlib/backends/backend_gtk3.py
@@ -1,889 +1,596 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import functools
+import logging
+import os
+from pathlib import Path
 
-import six
-
-import os, sys
-def fn_name(): return sys._getframe(1).f_code.co_name
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook
+from matplotlib.backend_bases import (
+    ToolContainerBase, MouseButton,
+    CloseEvent, KeyEvent, LocationEvent, MouseEvent, ResizeEvent)
 
 try:
     import gi
-except ImportError:
-    raise ImportError("Gtk3 backend requires pygobject to be installed.")
+except ImportError as err:
+    raise ImportError("The GTK3 backends require PyGObject") from err
 
 try:
+    # :raises ValueError: If module/version is already loaded, already
+    # required, or unavailable.
     gi.require_version("Gtk", "3.0")
-except AttributeError:
-    raise ImportError(
-        "pygobject version too old -- it must have require_version")
-except ValueError:
-    raise ImportError(
-        "Gtk3 backend requires the GObject introspection bindings for Gtk 3 "
-        "to be installed.")
+except ValueError as e:
+    # in this case we want to re-raise as ImportError so the
+    # auto-backend selection logic correctly skips.
+    raise ImportError(e) from e
 
-try:
-    from gi.repository import Gtk, Gdk, GObject, GLib
-except ImportError:
-    raise ImportError("Gtk3 backend requires pygobject to be installed.")
-
-import matplotlib
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase, \
-     FigureManagerBase, FigureCanvasBase, NavigationToolbar2, cursors, TimerBase
-from matplotlib.backend_bases import ShowBase
-
-from matplotlib.cbook import is_string_like, is_writable_file_like
-from matplotlib.colors import colorConverter
-from matplotlib.figure import Figure
-from matplotlib.widgets import SubplotTool
-
-from matplotlib import lines
-from matplotlib import cbook
-from matplotlib import verbose
-from matplotlib import rcParams
-
-backend_version = "%s.%s.%s" % (Gtk.get_major_version(), Gtk.get_micro_version(), Gtk.get_minor_version())
-
-_debug = False
-#_debug = True
-
-# the true dots per inch on the screen; should be display dependent
-# see http://groups.google.com/groups?q=screen+dpi+x11&hl=en&lr=&ie=UTF-8&oe=UTF-8&safe=off&selm=7077.26e81ad5%40swift.cs.tcd.ie&rnum=5 for some info about screen dpi
-PIXELS_PER_INCH = 96
-
-cursord = {
-    cursors.MOVE          : Gdk.Cursor.new(Gdk.CursorType.FLEUR),
-    cursors.HAND          : Gdk.Cursor.new(Gdk.CursorType.HAND2),
-    cursors.POINTER       : Gdk.Cursor.new(Gdk.CursorType.LEFT_PTR),
-    cursors.SELECT_REGION : Gdk.Cursor.new(Gdk.CursorType.TCROSS),
-    }
-
-def draw_if_interactive():
-    """
-    Is called after every pylab drawing command
-    """
-    if matplotlib.is_interactive():
-        figManager =  Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.draw_idle()
-
-class Show(ShowBase):
-    def mainloop(self):
-        if Gtk.main_level() == 0:
-            Gtk.main()
-
-show = Show()
-
-
-class TimerGTK3(TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses GTK3 for timer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
-    def _timer_start(self):
-        # Need to stop it, otherwise we potentially leak a timer id that will
-        # never be stopped.
-        self._timer_stop()
-        self._timer = GLib.timeout_add(self._interval, self._on_timer)
-
-    def _timer_stop(self):
-        if self._timer is not None:
-            GLib.source_remove(self._timer)
-            self._timer = None
-
-    def _timer_set_interval(self):
-        # Only stop and restart it if the timer has already been started
-        if self._timer is not None:
-            self._timer_stop()
-            self._timer_start()
-
-    def _on_timer(self):
-        TimerBase._on_timer(self)
-
-        # Gtk timeout_add() requires that the callback returns True if it
-        # is to be called again.
-        if len(self.callbacks) > 0 and not self._single:
-            return True
-        else:
-            self._timer = None
-            return False
+from gi.repository import Gio, GLib, GObject, Gtk, Gdk
+from . import _backend_gtk
+from ._backend_gtk import (  # noqa: F401 # pylint: disable=W0611
+    _BackendGTK, _FigureCanvasGTK, _FigureManagerGTK, _NavigationToolbar2GTK,
+    TimerGTK as TimerGTK3,
+)
+
+
+_log = logging.getLogger(__name__)
 
-class FigureCanvasGTK3 (Gtk.DrawingArea, FigureCanvasBase):
-    keyvald = {65507 : 'control',
-               65505 : 'shift',
-               65513 : 'alt',
-               65508 : 'control',
-               65506 : 'shift',
-               65514 : 'alt',
-               65361 : 'left',
-               65362 : 'up',
-               65363 : 'right',
-               65364 : 'down',
-               65307 : 'escape',
-               65470 : 'f1',
-               65471 : 'f2',
-               65472 : 'f3',
-               65473 : 'f4',
-               65474 : 'f5',
-               65475 : 'f6',
-               65476 : 'f7',
-               65477 : 'f8',
-               65478 : 'f9',
-               65479 : 'f10',
-               65480 : 'f11',
-               65481 : 'f12',
-               65300 : 'scroll_lock',
-               65299 : 'break',
-               65288 : 'backspace',
-               65293 : 'enter',
-               65379 : 'insert',
-               65535 : 'delete',
-               65360 : 'home',
-               65367 : 'end',
-               65365 : 'pageup',
-               65366 : 'pagedown',
-               65438 : '0',
-               65436 : '1',
-               65433 : '2',
-               65435 : '3',
-               65430 : '4',
-               65437 : '5',
-               65432 : '6',
-               65429 : '7',
-               65431 : '8',
-               65434 : '9',
-               65451 : '+',
-               65453 : '-',
-               65450 : '*',
-               65455 : '/',
-               65439 : 'dec',
-               65421 : 'enter',
-               }
 
+@functools.cache
+def _mpl_to_gtk_cursor(mpl_cursor):
+    return Gdk.Cursor.new_from_name(
+        Gdk.Display.get_default(),
+        _backend_gtk.mpl_to_gtk_cursor_name(mpl_cursor))
+
+
+class FigureCanvasGTK3(_FigureCanvasGTK, Gtk.DrawingArea):
+    required_interactive_framework = "gtk3"
+    manager_class = _api.classproperty(lambda cls: FigureManagerGTK3)
     # Setting this as a static constant prevents
     # this resulting expression from leaking
-    event_mask = (Gdk.EventMask.BUTTON_PRESS_MASK   |
-                  Gdk.EventMask.BUTTON_RELEASE_MASK |
-                  Gdk.EventMask.EXPOSURE_MASK       |
-                  Gdk.EventMask.KEY_PRESS_MASK      |
-                  Gdk.EventMask.KEY_RELEASE_MASK    |
-                  Gdk.EventMask.ENTER_NOTIFY_MASK   |
-                  Gdk.EventMask.LEAVE_NOTIFY_MASK   |
-                  Gdk.EventMask.POINTER_MOTION_MASK |
-                  Gdk.EventMask.POINTER_MOTION_HINT_MASK|
-                  Gdk.EventMask.SCROLL_MASK)
-
-    def __init__(self, figure):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        FigureCanvasBase.__init__(self, figure)
-        GObject.GObject.__init__(self)
-
-        self._idle_draw_id  = 0
-        self._need_redraw   = True
-        self._lastCursor    = None
+    event_mask = (Gdk.EventMask.BUTTON_PRESS_MASK
+                  | Gdk.EventMask.BUTTON_RELEASE_MASK
+                  | Gdk.EventMask.EXPOSURE_MASK
+                  | Gdk.EventMask.KEY_PRESS_MASK
+                  | Gdk.EventMask.KEY_RELEASE_MASK
+                  | Gdk.EventMask.ENTER_NOTIFY_MASK
+                  | Gdk.EventMask.LEAVE_NOTIFY_MASK
+                  | Gdk.EventMask.POINTER_MOTION_MASK
+                  | Gdk.EventMask.SCROLL_MASK)
+
+    def __init__(self, figure=None):
+        super().__init__(figure=figure)
+
+        self._idle_draw_id = 0
+        self._rubberband_rect = None
 
         self.connect('scroll_event',         self.scroll_event)
         self.connect('button_press_event',   self.button_press_event)
         self.connect('button_release_event', self.button_release_event)
         self.connect('configure_event',      self.configure_event)
+        self.connect('screen-changed',       self._update_device_pixel_ratio)
+        self.connect('notify::scale-factor', self._update_device_pixel_ratio)
         self.connect('draw',                 self.on_draw_event)
+        self.connect('draw',                 self._post_draw)
         self.connect('key_press_event',      self.key_press_event)
         self.connect('key_release_event',    self.key_release_event)
         self.connect('motion_notify_event',  self.motion_notify_event)
-        self.connect('leave_notify_event',   self.leave_notify_event)
         self.connect('enter_notify_event',   self.enter_notify_event)
+        self.connect('leave_notify_event',   self.leave_notify_event)
         self.connect('size_allocate',        self.size_allocate)
 
         self.set_events(self.__class__.event_mask)
 
-        self.set_double_buffered(True)
         self.set_can_focus(True)
-        self._renderer_init()
-        self._idle_event_id = GLib.idle_add(self.idle_event)
+
+        css = Gtk.CssProvider()
+        css.load_from_data(b".matplotlib-canvas { background-color: white; }")
+        style_ctx = self.get_style_context()
+        style_ctx.add_provider(css, Gtk.STYLE_PROVIDER_PRIORITY_APPLICATION)
+        style_ctx.add_class("matplotlib-canvas")
 
     def destroy(self):
-        #Gtk.DrawingArea.destroy(self)
-        self.close_event()
-        GLib.source_remove(self._idle_event_id)
-        if self._idle_draw_id != 0:
-            GLib.source_remove(self._idle_draw_id)
+        CloseEvent("close_event", self)._process()
 
-    def scroll_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.get_allocation().height - event.y
-        if event.direction==Gdk.ScrollDirection.UP:
-            step = 1
+    def set_cursor(self, cursor):
+        # docstring inherited
+        window = self.get_property("window")
+        if window is not None:
+            window.set_cursor(_mpl_to_gtk_cursor(cursor))
+            context = GLib.MainContext.default()
+            context.iteration(True)
+
+    def _mpl_coords(self, event=None):
+        """
+        Convert the position of a GTK event, or of the current cursor position
+        if *event* is None, to Matplotlib coordinates.
+
+        GTK use logical pixels, but the figure is scaled to physical pixels for
+        rendering.  Transform to physical pixels so that all of the down-stream
+        transforms work as expected.
+
+        Also, the origin is different and needs to be corrected.
+        """
+        if event is None:
+            window = self.get_window()
+            t, x, y, state = window.get_device_position(
+                window.get_display().get_device_manager().get_client_pointer())
         else:
-            step = -1
-        FigureCanvasBase.scroll_event(self, x, y, step, guiEvent=event)
+            x, y = event.x, event.y
+        x = x * self.device_pixel_ratio
+        # flip y so y=0 is bottom of canvas
+        y = self.figure.bbox.height - y * self.device_pixel_ratio
+        return x, y
+
+    def scroll_event(self, widget, event):
+        step = 1 if event.direction == Gdk.ScrollDirection.UP else -1
+        MouseEvent("scroll_event", self,
+                   *self._mpl_coords(event), step=step,
+                   modifiers=self._mpl_modifiers(event.state),
+                   guiEvent=event)._process()
         return False  # finish event propagation?
 
     def button_press_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.get_allocation().height - event.y
-        FigureCanvasBase.button_press_event(self, x, y, event.button, guiEvent=event)
+        MouseEvent("button_press_event", self,
+                   *self._mpl_coords(event), event.button,
+                   modifiers=self._mpl_modifiers(event.state),
+                   guiEvent=event)._process()
         return False  # finish event propagation?
 
     def button_release_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.get_allocation().height - event.y
-        FigureCanvasBase.button_release_event(self, x, y, event.button, guiEvent=event)
+        MouseEvent("button_release_event", self,
+                   *self._mpl_coords(event), event.button,
+                   modifiers=self._mpl_modifiers(event.state),
+                   guiEvent=event)._process()
         return False  # finish event propagation?
 
     def key_press_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        key = self._get_key(event)
-        if _debug: print("hit", key)
-        FigureCanvasBase.key_press_event(self, key, guiEvent=event)
-        return False  # finish event propagation?
+        KeyEvent("key_press_event", self,
+                 self._get_key(event), *self._mpl_coords(),
+                 guiEvent=event)._process()
+        return True  # stop event propagation
 
     def key_release_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        key = self._get_key(event)
-        if _debug: print("release", key)
-        FigureCanvasBase.key_release_event(self, key, guiEvent=event)
-        return False  # finish event propagation?
+        KeyEvent("key_release_event", self,
+                 self._get_key(event), *self._mpl_coords(),
+                 guiEvent=event)._process()
+        return True  # stop event propagation
 
     def motion_notify_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
-        if event.is_hint:
-            t, x, y, state = event.window.get_pointer()
-        else:
-            x, y, state = event.x, event.y, event.get_state()
-
-        # flipy so y=0 is bottom of canvas
-        y = self.get_allocation().height - y
-        FigureCanvasBase.motion_notify_event(self, x, y, guiEvent=event)
+        MouseEvent("motion_notify_event", self, *self._mpl_coords(event),
+                   buttons=self._mpl_buttons(event.state),
+                   modifiers=self._mpl_modifiers(event.state),
+                   guiEvent=event)._process()
         return False  # finish event propagation?
 
-    def leave_notify_event(self, widget, event):
-        FigureCanvasBase.leave_notify_event(self, event)
-
     def enter_notify_event(self, widget, event):
-        FigureCanvasBase.enter_notify_event(self, event)
+        gtk_mods = Gdk.Keymap.get_for_display(
+            self.get_display()).get_modifier_state()
+        LocationEvent("figure_enter_event", self, *self._mpl_coords(event),
+                      modifiers=self._mpl_modifiers(gtk_mods),
+                      guiEvent=event)._process()
+
+    def leave_notify_event(self, widget, event):
+        gtk_mods = Gdk.Keymap.get_for_display(
+            self.get_display()).get_modifier_state()
+        LocationEvent("figure_leave_event", self, *self._mpl_coords(event),
+                      modifiers=self._mpl_modifiers(gtk_mods),
+                      guiEvent=event)._process()
 
     def size_allocate(self, widget, allocation):
-        if _debug:
-            print("FigureCanvasGTK3.%s" % fn_name())
-            print("size_allocate (%d x %d)" % (allocation.width, allocation.height))
         dpival = self.figure.dpi
-        winch = allocation.width / dpival
-        hinch = allocation.height / dpival
-        self.figure.set_size_inches(winch, hinch)
-        FigureCanvasBase.resize_event(self)
+        winch = allocation.width * self.device_pixel_ratio / dpival
+        hinch = allocation.height * self.device_pixel_ratio / dpival
+        self.figure.set_size_inches(winch, hinch, forward=False)
+        ResizeEvent("resize_event", self)._process()
         self.draw_idle()
 
-    def _get_key(self, event):
-        if event.keyval in self.keyvald:
-            key = self.keyvald[event.keyval]
-        elif event.keyval < 256:
-            key = chr(event.keyval)
-        else:
-            key = None
-
+    @staticmethod
+    def _mpl_buttons(event_state):
+        modifiers = [
+            (MouseButton.LEFT, Gdk.ModifierType.BUTTON1_MASK),
+            (MouseButton.MIDDLE, Gdk.ModifierType.BUTTON2_MASK),
+            (MouseButton.RIGHT, Gdk.ModifierType.BUTTON3_MASK),
+            (MouseButton.BACK, Gdk.ModifierType.BUTTON4_MASK),
+            (MouseButton.FORWARD, Gdk.ModifierType.BUTTON5_MASK),
+        ]
+        # State *before* press/release.
+        return [name for name, mask in modifiers if event_state & mask]
+
+    @staticmethod
+    def _mpl_modifiers(event_state, *, exclude=None):
         modifiers = [
-                     (Gdk.ModifierType.MOD4_MASK, 'super'),
-                     (Gdk.ModifierType.MOD1_MASK, 'alt'),
-                     (Gdk.ModifierType.CONTROL_MASK, 'ctrl'),
-                    ]
-        for key_mask, prefix in modifiers:
-            if event.state & key_mask:
-                key = '{0}+{1}'.format(prefix, key)
+            ("ctrl", Gdk.ModifierType.CONTROL_MASK, "control"),
+            ("alt", Gdk.ModifierType.MOD1_MASK, "alt"),
+            ("shift", Gdk.ModifierType.SHIFT_MASK, "shift"),
+            ("super", Gdk.ModifierType.MOD4_MASK, "super"),
+        ]
+        return [name for name, mask, key in modifiers
+                if exclude != key and event_state & mask]
 
-        return key
+    def _get_key(self, event):
+        unikey = chr(Gdk.keyval_to_unicode(event.keyval))
+        key = cbook._unikey_or_keysym_to_mplkey(
+            unikey, Gdk.keyval_name(event.keyval))
+        mods = self._mpl_modifiers(event.state, exclude=key)
+        if "shift" in mods and unikey.isprintable():
+            mods.remove("shift")
+        return "+".join([*mods, key])
+
+    def _update_device_pixel_ratio(self, *args, **kwargs):
+        # We need to be careful in cases with mixed resolution displays if
+        # device_pixel_ratio changes.
+        if self._set_device_pixel_ratio(self.get_scale_factor()):
+            # The easiest way to resize the canvas is to emit a resize event
+            # since we implement all the logic for resizing the canvas for that
+            # event.
+            self.queue_resize()
+            self.queue_draw()
 
     def configure_event(self, widget, event):
-        if _debug: print('FigureCanvasGTK3.%s' % fn_name())
         if widget.get_property("window") is None:
             return
-        w, h = event.width, event.height
+        w = event.width * self.device_pixel_ratio
+        h = event.height * self.device_pixel_ratio
         if w < 3 or h < 3:
-            return # empty fig
-
+            return  # empty fig
         # resize the figure (in inches)
         dpi = self.figure.dpi
-        self.figure.set_size_inches (w/dpi, h/dpi)
-        self._need_redraw = True
-
+        self.figure.set_size_inches(w / dpi, h / dpi, forward=False)
         return False  # finish event propagation?
 
+    def _draw_rubberband(self, rect):
+        self._rubberband_rect = rect
+        # TODO: Only update the rubberband area.
+        self.queue_draw()
+
+    def _post_draw(self, widget, ctx):
+        if self._rubberband_rect is None:
+            return
+
+        x0, y0, w, h = (dim / self.device_pixel_ratio
+                        for dim in self._rubberband_rect)
+        x1 = x0 + w
+        y1 = y0 + h
+
+        # Draw the lines from x0, y0 towards x1, y1 so that the
+        # dashes don't "jump" when moving the zoom box.
+        ctx.move_to(x0, y0)
+        ctx.line_to(x0, y1)
+        ctx.move_to(x0, y0)
+        ctx.line_to(x1, y0)
+        ctx.move_to(x0, y1)
+        ctx.line_to(x1, y1)
+        ctx.move_to(x1, y0)
+        ctx.line_to(x1, y1)
+
+        ctx.set_antialias(1)
+        ctx.set_line_width(1)
+        ctx.set_dash((3, 3), 0)
+        ctx.set_source_rgb(0, 0, 0)
+        ctx.stroke_preserve()
+
+        ctx.set_dash((3, 3), 3)
+        ctx.set_source_rgb(1, 1, 1)
+        ctx.stroke()
+
     def on_draw_event(self, widget, ctx):
         # to be overwritten by GTK3Agg or GTK3Cairo
         pass
 
     def draw(self):
-        self._need_redraw = True
-        if self.get_visible() and self.get_mapped():
+        # docstring inherited
+        if self.is_drawable():
             self.queue_draw()
-            # do a synchronous draw (its less efficient than an async draw,
-            # but is required if/when animation is used)
-            self.get_property("window").process_updates (False)
 
     def draw_idle(self):
+        # docstring inherited
+        if self._idle_draw_id != 0:
+            return
         def idle_draw(*args):
             try:
                 self.draw()
             finally:
                 self._idle_draw_id = 0
             return False
-        if self._idle_draw_id == 0:
-            self._idle_draw_id = GLib.idle_add(idle_draw)
-
-    def new_timer(self, *args, **kwargs):
-        """
-        Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
-        This is useful for getting periodic events through the backend's native
-        event loop. Implemented only for backends with GUIs.
-
-        optional arguments:
-
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
-        """
-        return TimerGTK3(*args, **kwargs)
+        self._idle_draw_id = GLib.idle_add(idle_draw)
 
     def flush_events(self):
-        Gdk.threads_enter()
-        while Gtk.events_pending():
-            Gtk.main_iteration(True)
-        Gdk.flush()
-        Gdk.threads_leave()
-
-    def start_event_loop(self,timeout):
-        FigureCanvasBase.start_event_loop_default(self,timeout)
-    start_event_loop.__doc__=FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__=FigureCanvasBase.stop_event_loop_default.__doc__
-
-
-class FigureManagerGTK3(FigureManagerBase):
-    """
-    Public attributes
-
-    canvas      : The FigureCanvas instance
-    num         : The Figure number
-    toolbar     : The Gtk.Toolbar  (gtk only)
-    vbox        : The Gtk.VBox containing the canvas and toolbar (gtk only)
-    window      : The Gtk.Window   (gtk only)
-    """
-    def __init__(self, canvas, num):
-        if _debug: print('FigureManagerGTK3.%s' % fn_name())
-        FigureManagerBase.__init__(self, canvas, num)
-
-        self.window = Gtk.Window()
-        self.set_window_title("Figure %d" % num)
-        try:
-            self.window.set_icon_from_file(window_icon)
-        except (SystemExit, KeyboardInterrupt):
-            # re-raise exit type Exceptions
-            raise
-        except:
-            # some versions of gtk throw a glib.GError but not
-            # all, so I am not sure how to catch it.  I am unhappy
-            # doing a blanket catch here, but am not sure what a
-            # better way is - JDH
-            verbose.report('Could not load matplotlib icon: %s' % sys.exc_info()[1])
-
-        self.vbox = Gtk.Box()
-        self.vbox.set_property("orientation", Gtk.Orientation.VERTICAL)
-        self.window.add(self.vbox)
-        self.vbox.show()
-
-        self.canvas.show()
-
-        self.vbox.pack_start(self.canvas, True, True, 0)
-
-        self.toolbar = self._get_toolbar(canvas)
-
-        # calculate size for window
-        w = int (self.canvas.figure.bbox.width)
-        h = int (self.canvas.figure.bbox.height)
-
-        if self.toolbar is not None:
-            self.toolbar.show()
-            self.vbox.pack_end(self.toolbar, False, False, 0)
-            size_request = self.toolbar.size_request()
-            h += size_request.height
-
-        self.window.set_default_size (w, h)
-
-        def destroy(*args):
-            Gcf.destroy(num)
-        self.window.connect("destroy", destroy)
-        self.window.connect("delete_event", destroy)
-        if matplotlib.is_interactive():
-            self.window.show()
-
-        def notify_axes_change(fig):
-            'this will be called whenever the current axes is changed'
-            if self.toolbar is not None: self.toolbar.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
-
-        self.canvas.grab_focus()
-
-    def destroy(self, *args):
-        if _debug: print('FigureManagerGTK3.%s' % fn_name())
-        self.vbox.destroy()
-        self.window.destroy()
-        self.canvas.destroy()
-        if self.toolbar:
-            self.toolbar.destroy()
-
-        if Gcf.get_num_fig_managers()==0 and \
-               not matplotlib.is_interactive() and \
-               Gtk.main_level() >= 1:
-            Gtk.main_quit()
-
-    def show(self):
-        # show the figure window
-        self.window.show()
-
-    def full_screen_toggle (self):
-        self._full_screen_flag = not self._full_screen_flag
-        if self._full_screen_flag:
-            self.window.fullscreen()
-        else:
-            self.window.unfullscreen()
-    _full_screen_flag = False
-
-
-    def _get_toolbar(self, canvas):
-        # must be inited after the window, drawingArea and figure
-        # attrs are set
-        if rcParams['toolbar'] == 'toolbar2':
-            toolbar = NavigationToolbar2GTK3 (canvas, self.window)
-        else:
-            toolbar = None
-        return toolbar
-
-    def get_window_title(self):
-        return self.window.get_title()
-
-    def set_window_title(self, title):
-        self.window.set_title(title)
-
-    def resize(self, width, height):
-        'set the canvas size in pixels'
-        #_, _, cw, ch = self.canvas.allocation
-        #_, _, ww, wh = self.window.allocation
-        #self.window.resize (width-cw+ww, height-ch+wh)
-        self.window.resize(width, height)
+        # docstring inherited
+        context = GLib.MainContext.default()
+        while context.pending():
+            context.iteration(True)
 
 
-class NavigationToolbar2GTK3(NavigationToolbar2, Gtk.Toolbar):
-    def __init__(self, canvas, window):
-        self.win = window
+class NavigationToolbar2GTK3(_NavigationToolbar2GTK, Gtk.Toolbar):
+    def __init__(self, canvas):
         GObject.GObject.__init__(self)
-        NavigationToolbar2.__init__(self, canvas)
-        self.ctx = None
 
-    def set_message(self, s):
-        self.message.set_label(s)
-
-    def set_cursor(self, cursor):
-        self.canvas.get_property("window").set_cursor(cursord[cursor])
-        #self.canvas.set_cursor(cursord[cursor])
-
-    def release(self, event):
-        try: del self._pixmapBack
-        except AttributeError: pass
-
-    def dynamic_update(self):
-        # legacy method; new method is canvas.draw_idle
-        self.canvas.draw_idle()
-
-    def draw_rubberband(self, event, x0, y0, x1, y1):
-        'adapted from http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/189744'
-        self.ctx = self.canvas.get_property("window").cairo_create()
-
-        # todo: instead of redrawing the entire figure, copy the part of
-        # the figure that was covered by the previous rubberband rectangle
-        self.canvas.draw()
-
-        height = self.canvas.figure.bbox.height
-        y1 = height - y1
-        y0 = height - y0
-        w = abs(x1 - x0)
-        h = abs(y1 - y0)
-        rect = [int(val) for val in (min(x0,x1), min(y0, y1), w, h)]
-
-        self.ctx.new_path()
-        self.ctx.set_line_width(0.5)
-        self.ctx.rectangle(rect[0], rect[1], rect[2], rect[3])
-        self.ctx.set_source_rgb(0, 0, 0)
-        self.ctx.stroke()
-
-    def _init_toolbar(self):
         self.set_style(Gtk.ToolbarStyle.ICONS)
-        basedir = os.path.join(rcParams['datapath'],'images')
 
+        self._gtk_ids = {}
         for text, tooltip_text, image_file, callback in self.toolitems:
             if text is None:
-                self.insert( Gtk.SeparatorToolItem(), -1 )
+                self.insert(Gtk.SeparatorToolItem(), -1)
                 continue
-            fname = os.path.join(basedir, image_file + '.png')
-            image = Gtk.Image()
-            image.set_from_file(fname)
-            tbutton = Gtk.ToolButton()
-            tbutton.set_label(text)
-            tbutton.set_icon_widget(image)
-            self.insert(tbutton, -1)
-            tbutton.connect('clicked', getattr(self, callback))
-            tbutton.set_tooltip_text(tooltip_text)
-
-        toolitem = Gtk.SeparatorToolItem()
+            image = Gtk.Image.new_from_gicon(
+                Gio.Icon.new_for_string(
+                    str(cbook._get_data_path('images',
+                                             f'{image_file}-symbolic.svg'))),
+                Gtk.IconSize.LARGE_TOOLBAR)
+            self._gtk_ids[text] = button = (
+                Gtk.ToggleToolButton() if callback in ['zoom', 'pan'] else
+                Gtk.ToolButton())
+            button.set_label(text)
+            button.set_icon_widget(image)
+            # Save the handler id, so that we can block it as needed.
+            button._signal_handler = button.connect(
+                'clicked', getattr(self, callback))
+            button.set_tooltip_text(tooltip_text)
+            self.insert(button, -1)
+
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        toolitem = Gtk.ToolItem()
         self.insert(toolitem, -1)
-        toolitem.set_draw(False)
-        toolitem.set_expand(True)
+        label = Gtk.Label()
+        label.set_markup(
+            '<small>\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}</small>')
+        toolitem.set_expand(True)  # Push real message to the right.
+        toolitem.add(label)
 
         toolitem = Gtk.ToolItem()
         self.insert(toolitem, -1)
         self.message = Gtk.Label()
+        self.message.set_justify(Gtk.Justification.RIGHT)
         toolitem.add(self.message)
 
         self.show_all()
 
-    def get_filechooser(self):
-        fc = FileChooserDialog(
-            title='Save the figure',
-            parent=self.win,
-            path=os.path.expanduser(rcParams.get('savefig.directory', '')),
-            filetypes=self.canvas.get_supported_filetypes(),
-            default_filetype=self.canvas.get_default_filetype())
-        fc.set_current_name(self.canvas.get_default_filename())
-        return fc
+        _NavigationToolbar2GTK.__init__(self, canvas)
 
     def save_figure(self, *args):
-        chooser = self.get_filechooser()
-        fname, format = chooser.get_filename_from_user()
-        chooser.destroy()
-        if fname:
-            startpath = os.path.expanduser(rcParams.get('savefig.directory', ''))
-            if startpath == '':
-                # explicitly missing key or empty str signals to use cwd
-                rcParams['savefig.directory'] = startpath
-            else:
-                # save dir for next time
-                rcParams['savefig.directory'] = os.path.dirname(six.text_type(fname))
-            try:
-                self.canvas.print_figure(fname, format=format)
-            except Exception as e:
-                error_msg_gtk(str(e), parent=self)
+        dialog = Gtk.FileChooserDialog(
+            title="Save the figure",
+            transient_for=self.canvas.get_toplevel(),
+            action=Gtk.FileChooserAction.SAVE,
+            buttons=(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL,
+                     Gtk.STOCK_SAVE,   Gtk.ResponseType.OK),
+        )
+        for name, fmts \
+                in self.canvas.get_supported_filetypes_grouped().items():
+            ff = Gtk.FileFilter()
+            ff.set_name(name)
+            for fmt in fmts:
+                ff.add_pattern(f'*.{fmt}')
+            dialog.add_filter(ff)
+            if self.canvas.get_default_filetype() in fmts:
+                dialog.set_filter(ff)
+
+        @functools.partial(dialog.connect, "notify::filter")
+        def on_notify_filter(*args):
+            name = dialog.get_filter().get_name()
+            fmt = self.canvas.get_supported_filetypes_grouped()[name][0]
+            dialog.set_current_name(
+                str(Path(dialog.get_current_name()).with_suffix(f'.{fmt}')))
+
+        dialog.set_current_folder(mpl.rcParams["savefig.directory"])
+        dialog.set_current_name(self.canvas.get_default_filename())
+        dialog.set_do_overwrite_confirmation(True)
+
+        response = dialog.run()
+        fname = dialog.get_filename()
+        ff = dialog.get_filter()  # Doesn't autoadjust to filename :/
+        fmt = self.canvas.get_supported_filetypes_grouped()[ff.get_name()][0]
+        dialog.destroy()
+        if response != Gtk.ResponseType.OK:
+            return None
+        # Save dir for next time, unless empty str (which means use cwd).
+        if mpl.rcParams['savefig.directory']:
+            mpl.rcParams['savefig.directory'] = os.path.dirname(fname)
+        try:
+            self.canvas.figure.savefig(fname, format=fmt)
+            return fname
+        except Exception as e:
+            dialog = Gtk.MessageDialog(
+                transient_for=self.canvas.get_toplevel(), text=str(e),
+                message_type=Gtk.MessageType.ERROR, buttons=Gtk.ButtonsType.OK)
+            dialog.run()
+            dialog.destroy()
+
+
+class ToolbarGTK3(ToolContainerBase, Gtk.Box):
+    _icon_extension = '-symbolic.svg'
+
+    def __init__(self, toolmanager):
+        ToolContainerBase.__init__(self, toolmanager)
+        Gtk.Box.__init__(self)
+        self.set_property('orientation', Gtk.Orientation.HORIZONTAL)
+        self._message = Gtk.Label()
+        self._message.set_justify(Gtk.Justification.RIGHT)
+        self.pack_end(self._message, False, False, 0)
+        self.show_all()
+        self._groups = {}
+        self._toolitems = {}
 
-    def configure_subplots(self, button):
-        toolfig = Figure(figsize=(6,3))
-        canvas = self._get_canvas(toolfig)
-        toolfig.subplots_adjust(top=0.9)
-        tool =  SubplotTool(self.canvas.figure, toolfig)
+    def add_toolitem(self, name, group, position, image_file, description,
+                     toggle):
+        if toggle:
+            button = Gtk.ToggleToolButton()
+        else:
+            button = Gtk.ToolButton()
+        button.set_label(name)
+
+        if image_file is not None:
+            image = Gtk.Image.new_from_gicon(
+                Gio.Icon.new_for_string(image_file),
+                Gtk.IconSize.LARGE_TOOLBAR)
+            button.set_icon_widget(image)
+
+        if position is None:
+            position = -1
+
+        self._add_button(button, group, position)
+        signal = button.connect('clicked', self._call_tool, name)
+        button.set_tooltip_text(description)
+        button.show_all()
+        self._toolitems.setdefault(name, [])
+        self._toolitems[name].append((button, signal))
+
+    def _add_button(self, button, group, position):
+        if group not in self._groups:
+            if self._groups:
+                self._add_separator()
+            toolbar = Gtk.Toolbar()
+            toolbar.set_style(Gtk.ToolbarStyle.ICONS)
+            self.pack_start(toolbar, False, False, 0)
+            toolbar.show_all()
+            self._groups[group] = toolbar
+        self._groups[group].insert(button, position)
+
+    def _call_tool(self, btn, name):
+        self.trigger_tool(name)
+
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for toolitem, signal in self._toolitems[name]:
+            toolitem.handler_block(signal)
+            toolitem.set_active(toggled)
+            toolitem.handler_unblock(signal)
+
+    def remove_toolitem(self, name):
+        for toolitem, _signal in self._toolitems.pop(name, []):
+            for group in self._groups:
+                if toolitem in self._groups[group]:
+                    self._groups[group].remove(toolitem)
+
+    def _add_separator(self):
+        sep = Gtk.Separator()
+        sep.set_property("orientation", Gtk.Orientation.VERTICAL)
+        self.pack_start(sep, False, True, 0)
+        sep.show_all()
 
-        w = int (toolfig.bbox.width)
-        h = int (toolfig.bbox.height)
+    def set_message(self, s):
+        self._message.set_label(s)
 
 
-        window = Gtk.Window()
-        try:
-            window.set_icon_from_file(window_icon)
-        except (SystemExit, KeyboardInterrupt):
-            # re-raise exit type Exceptions
-            raise
-        except:
-            # we presumably already logged a message on the
-            # failure of the main plot, don't keep reporting
-            pass
-        window.set_title("Subplot Configuration Tool")
-        window.set_default_size(w, h)
-        vbox = Gtk.Box()
-        vbox.set_property("orientation", Gtk.Orientation.VERTICAL)
-        window.add(vbox)
-        vbox.show()
-
-        canvas.show()
-        vbox.pack_start(canvas, True, True, 0)
-        window.show()
-
-    def _get_canvas(self, fig):
-        return self.canvas.__class__(fig)
-
-
-class FileChooserDialog(Gtk.FileChooserDialog):
-    """GTK+ file selector which remembers the last file/directory
-    selected and presents the user with a menu of supported image formats
-    """
-    def __init__ (self,
-                  title   = 'Save file',
-                  parent  = None,
-                  action  = Gtk.FileChooserAction.SAVE,
-                  buttons = (Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL,
-                             Gtk.STOCK_SAVE,   Gtk.ResponseType.OK),
-                  path    = None,
-                  filetypes = [],
-                  default_filetype = None
-                  ):
-        super (FileChooserDialog, self).__init__ (title, parent, action,
-                                                  buttons)
-        self.set_default_response (Gtk.ResponseType.OK)
-
-        if not path: path = os.getcwd() + os.sep
-
-        # create an extra widget to list supported image formats
-        self.set_current_folder (path)
-        self.set_current_name ('image.' + default_filetype)
-
-        hbox = Gtk.Box(spacing=10)
-        hbox.pack_start(Gtk.Label(label="File Format:"), False, False, 0)
-
-        liststore = Gtk.ListStore(GObject.TYPE_STRING)
-        cbox = Gtk.ComboBox() #liststore)
-        cbox.set_model(liststore)
-        cell = Gtk.CellRendererText()
-        cbox.pack_start(cell, True)
-        cbox.add_attribute(cell, 'text', 0)
-        hbox.pack_start(cbox, False, False, 0)
-
-        self.filetypes = filetypes
-        self.sorted_filetypes = list(six.iteritems(filetypes))
-        self.sorted_filetypes.sort()
-        default = 0
-        for i, (ext, name) in enumerate(self.sorted_filetypes):
-            liststore.append(["%s (*.%s)" % (name, ext)])
-            if ext == default_filetype:
-                default = i
-        cbox.set_active(default)
-        self.ext = default_filetype
-
-        def cb_cbox_changed (cbox, data=None):
-            """File extension changed"""
-            head, filename = os.path.split(self.get_filename())
-            root, ext = os.path.splitext(filename)
-            ext = ext[1:]
-            new_ext = self.sorted_filetypes[cbox.get_active()][0]
-            self.ext = new_ext
-
-            if ext in self.filetypes:
-                filename = root + '.' + new_ext
-            elif ext == '':
-                filename = filename.rstrip('.') + '.' + new_ext
-
-            self.set_current_name (filename)
-        cbox.connect ("changed", cb_cbox_changed)
-
-        hbox.show_all()
-        self.set_extra_widget(hbox)
-
-    def get_filename_from_user (self):
-        while True:
-            filename = None
-            if self.run() != int(Gtk.ResponseType.OK):
-                break
-            filename = self.get_filename()
-            break
-
-        return filename, self.ext
-
-class DialogLineprops(object):
-    """
-    A GUI dialog for controlling lineprops
-    """
-    signals = (
-        'on_combobox_lineprops_changed',
-        'on_combobox_linestyle_changed',
-        'on_combobox_marker_changed',
-        'on_colorbutton_linestyle_color_set',
-        'on_colorbutton_markerface_color_set',
-        'on_dialog_lineprops_okbutton_clicked',
-        'on_dialog_lineprops_cancelbutton_clicked',
-        )
+@backend_tools._register_tool_class(FigureCanvasGTK3)
+class SaveFigureGTK3(backend_tools.SaveFigureBase):
+    def trigger(self, *args, **kwargs):
+        NavigationToolbar2GTK3.save_figure(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasGTK3)
+class HelpGTK3(backend_tools.ToolHelpBase):
+    def _normalize_shortcut(self, key):
+        """
+        Convert Matplotlib key presses to GTK+ accelerator identifiers.
+
+        Related to `FigureCanvasGTK3._get_key`.
+        """
+        special = {
+            'backspace': 'BackSpace',
+            'pagedown': 'Page_Down',
+            'pageup': 'Page_Up',
+            'scroll_lock': 'Scroll_Lock',
+        }
+
+        parts = key.split('+')
+        mods = ['<' + mod + '>' for mod in parts[:-1]]
+        key = parts[-1]
+
+        if key in special:
+            key = special[key]
+        elif len(key) > 1:
+            key = key.capitalize()
+        elif key.isupper():
+            mods += ['<shift>']
+
+        return ''.join(mods) + key
+
+    def _is_valid_shortcut(self, key):
+        """
+        Check for a valid shortcut to be displayed.
+
+        - GTK will never send 'cmd+' (see `FigureCanvasGTK3._get_key`).
+        - The shortcut window only shows keyboard shortcuts, not mouse buttons.
+        """
+        return 'cmd+' not in key and not key.startswith('MouseButton.')
+
+    def _show_shortcuts_window(self):
+        section = Gtk.ShortcutsSection()
+
+        for name, tool in sorted(self.toolmanager.tools.items()):
+            if not tool.description:
+                continue
+
+            # Putting everything in a separate group allows GTK to
+            # automatically split them into separate columns/pages, which is
+            # useful because we have lots of shortcuts, some with many keys
+            # that are very wide.
+            group = Gtk.ShortcutsGroup()
+            section.add(group)
+            # A hack to remove the title since we have no group naming.
+            group.forall(lambda widget, data: widget.set_visible(False), None)
+
+            shortcut = Gtk.ShortcutsShortcut(
+                accelerator=' '.join(
+                    self._normalize_shortcut(key)
+                    for key in self.toolmanager.get_tool_keymap(name)
+                    if self._is_valid_shortcut(key)),
+                title=tool.name,
+                subtitle=tool.description)
+            group.add(shortcut)
+
+        window = Gtk.ShortcutsWindow(
+            title='Help',
+            modal=True,
+            transient_for=self._figure.canvas.get_toplevel())
+        section.show()  # Must be done explicitly before add!
+        window.add(section)
+
+        window.show_all()
+
+    def _show_shortcuts_dialog(self):
+        dialog = Gtk.MessageDialog(
+            self._figure.canvas.get_toplevel(),
+            0, Gtk.MessageType.INFO, Gtk.ButtonsType.OK, self._get_help_text(),
+            title="Help")
+        dialog.run()
+        dialog.destroy()
+
+    def trigger(self, *args):
+        if Gtk.check_version(3, 20, 0) is None:
+            self._show_shortcuts_window()
+        else:
+            self._show_shortcuts_dialog()
+
+
+@backend_tools._register_tool_class(FigureCanvasGTK3)
+class ToolCopyToClipboardGTK3(backend_tools.ToolCopyToClipboardBase):
+    def trigger(self, *args, **kwargs):
+        clipboard = Gtk.Clipboard.get(Gdk.SELECTION_CLIPBOARD)
+        window = self.canvas.get_window()
+        x, y, width, height = window.get_geometry()
+        pb = Gdk.pixbuf_get_from_window(window, x, y, width, height)
+        clipboard.set_image(pb)
+
+
+Toolbar = ToolbarGTK3
+backend_tools._register_tool_class(
+    FigureCanvasGTK3, _backend_gtk.ConfigureSubplotsGTK)
+backend_tools._register_tool_class(
+    FigureCanvasGTK3, _backend_gtk.RubberbandGTK)
+
+
+class FigureManagerGTK3(_FigureManagerGTK):
+    _toolbar2_class = NavigationToolbar2GTK3
+    _toolmanager_toolbar_class = ToolbarGTK3
+
 
-    linestyles = [ls for ls in lines.Line2D.lineStyles if ls.strip()]
-    linestyled = dict([ (s,i) for i,s in enumerate(linestyles)])
-
-
-    markers =  [m for m in lines.Line2D.markers if cbook.is_string_like(m)]
-
-    markerd = dict([(s,i) for i,s in enumerate(markers)])
-
-    def __init__(self, lines):
-        import Gtk.glade
-
-        datadir = matplotlib.get_data_path()
-        gladefile = os.path.join(datadir, 'lineprops.glade')
-        if not os.path.exists(gladefile):
-            raise IOError('Could not find gladefile lineprops.glade in %s'%datadir)
-
-        self._inited = False
-        self._updateson = True # suppress updates when setting widgets manually
-        self.wtree = Gtk.glade.XML(gladefile, 'dialog_lineprops')
-        self.wtree.signal_autoconnect(dict([(s, getattr(self, s)) for s in self.signals]))
-
-        self.dlg = self.wtree.get_widget('dialog_lineprops')
-
-        self.lines = lines
-
-        cbox = self.wtree.get_widget('combobox_lineprops')
-        cbox.set_active(0)
-        self.cbox_lineprops = cbox
-
-        cbox = self.wtree.get_widget('combobox_linestyles')
-        for ls in self.linestyles:
-            cbox.append_text(ls)
-        cbox.set_active(0)
-        self.cbox_linestyles = cbox
-
-        cbox = self.wtree.get_widget('combobox_markers')
-        for m in self.markers:
-            cbox.append_text(m)
-        cbox.set_active(0)
-        self.cbox_markers = cbox
-        self._lastcnt = 0
-        self._inited = True
-
-
-    def show(self):
-        'populate the combo box'
-        self._updateson = False
-        # flush the old
-        cbox = self.cbox_lineprops
-        for i in range(self._lastcnt-1,-1,-1):
-            cbox.remove_text(i)
-
-        # add the new
-        for line in self.lines:
-            cbox.append_text(line.get_label())
-        cbox.set_active(0)
-
-        self._updateson = True
-        self._lastcnt = len(self.lines)
-        self.dlg.show()
-
-    def get_active_line(self):
-        'get the active line'
-        ind = self.cbox_lineprops.get_active()
-        line = self.lines[ind]
-        return line
-
-    def get_active_linestyle(self):
-        'get the active lineinestyle'
-        ind = self.cbox_linestyles.get_active()
-        ls = self.linestyles[ind]
-        return ls
-
-    def get_active_marker(self):
-        'get the active lineinestyle'
-        ind = self.cbox_markers.get_active()
-        m = self.markers[ind]
-        return m
-
-    def _update(self):
-        'update the active line props from the widgets'
-        if not self._inited or not self._updateson: return
-        line = self.get_active_line()
-        ls = self.get_active_linestyle()
-        marker = self.get_active_marker()
-        line.set_linestyle(ls)
-        line.set_marker(marker)
-
-        button = self.wtree.get_widget('colorbutton_linestyle')
-        color = button.get_color()
-        r, g, b = [val/65535. for val in (color.red, color.green, color.blue)]
-        line.set_color((r,g,b))
-
-        button = self.wtree.get_widget('colorbutton_markerface')
-        color = button.get_color()
-        r, g, b = [val/65535. for val in (color.red, color.green, color.blue)]
-        line.set_markerfacecolor((r,g,b))
-
-        line.figure.canvas.draw()
-
-    def on_combobox_lineprops_changed(self, item):
-        'update the widgets from the active line'
-        if not self._inited: return
-        self._updateson = False
-        line = self.get_active_line()
-
-        ls = line.get_linestyle()
-        if ls is None: ls = 'None'
-        self.cbox_linestyles.set_active(self.linestyled[ls])
-
-        marker = line.get_marker()
-        if marker is None: marker = 'None'
-        self.cbox_markers.set_active(self.markerd[marker])
-
-        r,g,b = colorConverter.to_rgb(line.get_color())
-        color = Gdk.Color(*[int(val*65535) for val in (r,g,b)])
-        button = self.wtree.get_widget('colorbutton_linestyle')
-        button.set_color(color)
-
-        r,g,b = colorConverter.to_rgb(line.get_markerfacecolor())
-        color = Gdk.Color(*[int(val*65535) for val in (r,g,b)])
-        button = self.wtree.get_widget('colorbutton_markerface')
-        button.set_color(color)
-        self._updateson = True
-
-    def on_combobox_linestyle_changed(self, item):
-        self._update()
-
-    def on_combobox_marker_changed(self, item):
-        self._update()
-
-    def on_colorbutton_linestyle_color_set(self, button):
-        self._update()
-
-    def on_colorbutton_markerface_color_set(self, button):
-        'called colorbutton marker clicked'
-        self._update()
-
-    def on_dialog_lineprops_okbutton_clicked(self, button):
-        self._update()
-        self.dlg.hide()
-
-    def on_dialog_lineprops_cancelbutton_clicked(self, button):
-        self.dlg.hide()
-
-
-# Define the file to use as the GTk icon
-if sys.platform == 'win32':
-    icon_filename = 'matplotlib.png'
-else:
-    icon_filename = 'matplotlib.svg'
-window_icon = os.path.join(matplotlib.rcParams['datapath'], 'images', icon_filename)
-
-
-def error_msg_gtk(msg, parent=None):
-    if parent is not None: # find the toplevel Gtk.Window
-        parent = parent.get_toplevel()
-        if not parent.is_toplevel():
-            parent = None
-
-    if not is_string_like(msg):
-        msg = ','.join(map(str,msg))
-
-    dialog = Gtk.MessageDialog(
-        parent         = parent,
-        type           = Gtk.MessageType.ERROR,
-        buttons        = Gtk.ButtonsType.OK,
-        message_format = msg)
-    dialog.run()
-    dialog.destroy()
-
-
-FigureCanvas = FigureCanvasGTK3
-FigureManager = FigureManagerGTK3
+@_BackendGTK.export
+class _BackendGTK3(_BackendGTK):
+    FigureCanvas = FigureCanvasGTK3
+    FigureManager = FigureManagerGTK3
diff --git a/lib/matplotlib/backends/backend_gtk3agg.py b/lib/matplotlib/backends/backend_gtk3agg.py
index c3eb1da68be3..bb469b85783d 100644
--- a/lib/matplotlib/backends/backend_gtk3agg.py
+++ b/lib/matplotlib/backends/backend_gtk3agg.py
@@ -1,73 +1,50 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
-import sys
-import warnings
 
-from . import backend_agg
-from . import backend_gtk3
-from .backend_cairo import cairo, HAS_CAIRO_CFFI
-from matplotlib.figure import Figure
-from matplotlib import transforms
+from .. import cbook, transforms
+from . import backend_agg, backend_gtk3
+from .backend_gtk3 import GLib, Gtk, _BackendGTK3
 
-if six.PY3 and not HAS_CAIRO_CFFI:
-    warnings.warn(
-        "The Gtk3Agg backend is known to not work on Python 3.x with pycairo. "
-        "Try installing cairocffi.")
+import cairo  # Presence of cairo is already checked by _backend_gtk.
 
 
-class FigureCanvasGTK3Agg(backend_gtk3.FigureCanvasGTK3,
-                          backend_agg.FigureCanvasAgg):
+class FigureCanvasGTK3Agg(backend_agg.FigureCanvasAgg,
+                          backend_gtk3.FigureCanvasGTK3):
     def __init__(self, figure):
-        backend_gtk3.FigureCanvasGTK3.__init__(self, figure)
+        super().__init__(figure=figure)
         self._bbox_queue = []
 
-    def _renderer_init(self):
-        pass
-
-    def _render_figure(self, width, height):
-        backend_agg.FigureCanvasAgg.draw(self)
-
     def on_draw_event(self, widget, ctx):
-        """ GtkDrawable draw event, like expose_event in GTK 2.X
-        """
+        if self._idle_draw_id:
+            GLib.source_remove(self._idle_draw_id)
+            self._idle_draw_id = 0
+            self.draw()
+
+        scale = self.device_pixel_ratio
         allocation = self.get_allocation()
-        w, h = allocation.width, allocation.height
+        w = allocation.width * scale
+        h = allocation.height * scale
 
         if not len(self._bbox_queue):
-            if self._need_redraw:
-                self._render_figure(w, h)
-                bbox_queue = [transforms.Bbox([[0, 0], [w, h]])]
-            else:
-                return
+            Gtk.render_background(
+                self.get_style_context(), ctx,
+                allocation.x, allocation.y,
+                allocation.width, allocation.height)
+            bbox_queue = [transforms.Bbox([[0, 0], [w, h]])]
         else:
             bbox_queue = self._bbox_queue
 
-        if HAS_CAIRO_CFFI:
-            ctx = cairo.Context._from_pointer(
-                cairo.ffi.cast('cairo_t **',
-                               id(ctx) + object.__basicsize__)[0],
-                incref=True)
-
         for bbox in bbox_queue:
-            area = self.copy_from_bbox(bbox)
-            buf = np.fromstring(area.to_string_argb(), dtype='uint8')
-
             x = int(bbox.x0)
             y = h - int(bbox.y1)
             width = int(bbox.x1) - int(bbox.x0)
             height = int(bbox.y1) - int(bbox.y0)
 
-            if HAS_CAIRO_CFFI:
-                image = cairo.ImageSurface.create_for_data(
-                    buf.data, cairo.FORMAT_ARGB32, width, height)
-            else:
-                image = cairo.ImageSurface.create_for_data(
-                    buf, cairo.FORMAT_ARGB32, width, height)
-            ctx.set_source_surface(image, x, y)
+            buf = cbook._unmultiplied_rgba8888_to_premultiplied_argb32(
+                np.asarray(self.copy_from_bbox(bbox)))
+            image = cairo.ImageSurface.create_for_data(
+                buf.ravel().data, cairo.FORMAT_ARGB32, width, height)
+            image.set_device_scale(scale, scale)
+            ctx.set_source_surface(image, x / scale, y / scale)
             ctx.paint()
 
         if len(self._bbox_queue):
@@ -81,44 +58,17 @@ def blit(self, bbox=None):
         if bbox is None:
             bbox = self.figure.bbox
 
+        scale = self.device_pixel_ratio
         allocation = self.get_allocation()
-        w, h = allocation.width, allocation.height
-        x = int(bbox.x0)
-        y = h - int(bbox.y1)
-        width = int(bbox.x1) - int(bbox.x0)
-        height = int(bbox.y1) - int(bbox.y0)
+        x = int(bbox.x0 / scale)
+        y = allocation.height - int(bbox.y1 / scale)
+        width = (int(bbox.x1) - int(bbox.x0)) // scale
+        height = (int(bbox.y1) - int(bbox.y0)) // scale
 
         self._bbox_queue.append(bbox)
         self.queue_draw_area(x, y, width, height)
 
-    def print_png(self, filename, *args, **kwargs):
-        # Do this so we can save the resolution of figure in the PNG file
-        agg = self.switch_backends(backend_agg.FigureCanvasAgg)
-        return agg.print_png(filename, *args, **kwargs)
-
-
-class FigureManagerGTK3Agg(backend_gtk3.FigureManagerGTK3):
-    pass
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasGTK3Agg(figure)
-    manager = FigureManagerGTK3Agg(canvas, num)
-    return manager
-
 
-FigureCanvas = FigureCanvasGTK3Agg
-FigureManager = FigureManagerGTK3Agg
-show = backend_gtk3.show
+@_BackendGTK3.export
+class _BackendGTK3Agg(_BackendGTK3):
+    FigureCanvas = FigureCanvasGTK3Agg
diff --git a/lib/matplotlib/backends/backend_gtk3cairo.py b/lib/matplotlib/backends/backend_gtk3cairo.py
index da8f099be7f6..371b8dc1b31f 100644
--- a/lib/matplotlib/backends/backend_gtk3cairo.py
+++ b/lib/matplotlib/backends/backend_gtk3cairo.py
@@ -1,75 +1,35 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from contextlib import nullcontext
 
-import six
+from .backend_cairo import FigureCanvasCairo
+from .backend_gtk3 import GLib, Gtk, FigureCanvasGTK3, _BackendGTK3
 
-from . import backend_gtk3
-from . import backend_cairo
-from .backend_cairo import cairo, HAS_CAIRO_CFFI
-from matplotlib.figure import Figure
-
-class RendererGTK3Cairo(backend_cairo.RendererCairo):
-    def set_context(self, ctx):
-        if HAS_CAIRO_CFFI:
-            ctx = cairo.Context._from_pointer(
-                cairo.ffi.cast(
-                    'cairo_t **',
-                    id(ctx) + object.__basicsize__)[0],
-                incref=True)
-
-        self.gc.ctx = ctx
-
-
-class FigureCanvasGTK3Cairo(backend_gtk3.FigureCanvasGTK3,
-                            backend_cairo.FigureCanvasCairo):
-    def __init__(self, figure):
-        backend_gtk3.FigureCanvasGTK3.__init__(self, figure)
-
-    def _renderer_init(self):
-        """use cairo renderer"""
-        self._renderer = RendererGTK3Cairo(self.figure.dpi)
-
-    def _render_figure(self, width, height):
-        self._renderer.set_width_height (width, height)
-        self.figure.draw (self._renderer)
 
+class FigureCanvasGTK3Cairo(FigureCanvasCairo, FigureCanvasGTK3):
     def on_draw_event(self, widget, ctx):
-        """ GtkDrawable draw event, like expose_event in GTK 2.X
-        """
-        # the _need_redraw flag doesnt work. it sometimes prevents
-        # the rendering and leaving the canvas blank
-        #if self._need_redraw:
-        self._renderer.set_context(ctx)
-        allocation = self.get_allocation()
-        x, y, w, h = allocation.x, allocation.y, allocation.width, allocation.height
-        self._render_figure(w, h)
-        #self._need_redraw = False
-
-        return False  # finish event propagation?
-
-
-class FigureManagerGTK3Cairo(backend_gtk3.FigureManagerGTK3):
-    pass
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasGTK3Cairo(figure)
-    manager = FigureManagerGTK3Cairo(canvas, num)
-    return manager
-
-
-FigureCanvas = FigureCanvasGTK3Cairo
-FigureManager = FigureManagerGTK3Cairo
-show = backend_gtk3.show
+        if self._idle_draw_id:
+            GLib.source_remove(self._idle_draw_id)
+            self._idle_draw_id = 0
+            self.draw()
+
+        with (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar
+              else nullcontext()):
+            allocation = self.get_allocation()
+            # Render the background before scaling, as the allocated size here is in
+            # logical pixels.
+            Gtk.render_background(
+                self.get_style_context(), ctx,
+                0, 0, allocation.width, allocation.height)
+            scale = self.device_pixel_ratio
+            # Scale physical drawing to logical size.
+            ctx.scale(1 / scale, 1 / scale)
+            self._renderer.set_context(ctx)
+            # Set renderer to physical size so it renders in full resolution.
+            self._renderer.width = allocation.width * scale
+            self._renderer.height = allocation.height * scale
+            self._renderer.dpi = self.figure.dpi
+            self.figure.draw(self._renderer)
+
+
+@_BackendGTK3.export
+class _BackendGTK3Cairo(_BackendGTK3):
+    FigureCanvas = FigureCanvasGTK3Cairo
diff --git a/lib/matplotlib/backends/backend_gtk4.py b/lib/matplotlib/backends/backend_gtk4.py
new file mode 100644
index 000000000000..620c9e5b94b6
--- /dev/null
+++ b/lib/matplotlib/backends/backend_gtk4.py
@@ -0,0 +1,627 @@
+import functools
+import io
+import os
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook
+from matplotlib.backend_bases import (
+    ToolContainerBase, MouseButton,
+    KeyEvent, LocationEvent, MouseEvent, ResizeEvent, CloseEvent)
+
+try:
+    import gi
+except ImportError as err:
+    raise ImportError("The GTK4 backends require PyGObject") from err
+
+try:
+    # :raises ValueError: If module/version is already loaded, already
+    # required, or unavailable.
+    gi.require_version("Gtk", "4.0")
+except ValueError as e:
+    # in this case we want to re-raise as ImportError so the
+    # auto-backend selection logic correctly skips.
+    raise ImportError(e) from e
+
+from gi.repository import Gio, GLib, Gtk, Gdk, GdkPixbuf
+from . import _backend_gtk
+from ._backend_gtk import (  # noqa: F401 # pylint: disable=W0611
+    _BackendGTK, _FigureCanvasGTK, _FigureManagerGTK, _NavigationToolbar2GTK,
+    TimerGTK as TimerGTK4,
+)
+
+_GOBJECT_GE_3_47 = gi.version_info >= (3, 47, 0)
+
+
+class FigureCanvasGTK4(_FigureCanvasGTK, Gtk.DrawingArea):
+    required_interactive_framework = "gtk4"
+    supports_blit = False
+    manager_class = _api.classproperty(lambda cls: FigureManagerGTK4)
+
+    def __init__(self, figure=None):
+        super().__init__(figure=figure)
+
+        self.set_hexpand(True)
+        self.set_vexpand(True)
+
+        self._idle_draw_id = 0
+        self._rubberband_rect = None
+
+        self.set_draw_func(self._draw_func)
+        self.connect('resize', self.resize_event)
+        self.connect('notify::scale-factor', self._update_device_pixel_ratio)
+
+        click = Gtk.GestureClick()
+        click.set_button(0)  # All buttons.
+        click.connect('pressed', self.button_press_event)
+        click.connect('released', self.button_release_event)
+        self.add_controller(click)
+
+        key = Gtk.EventControllerKey()
+        key.connect('key-pressed', self.key_press_event)
+        key.connect('key-released', self.key_release_event)
+        self.add_controller(key)
+
+        motion = Gtk.EventControllerMotion()
+        motion.connect('motion', self.motion_notify_event)
+        motion.connect('enter', self.enter_notify_event)
+        motion.connect('leave', self.leave_notify_event)
+        self.add_controller(motion)
+
+        scroll = Gtk.EventControllerScroll.new(
+            Gtk.EventControllerScrollFlags.VERTICAL)
+        scroll.connect('scroll', self.scroll_event)
+        self.add_controller(scroll)
+
+        self.set_focusable(True)
+
+        css = Gtk.CssProvider()
+        style = '.matplotlib-canvas { background-color: white; }'
+        if Gtk.check_version(4, 9, 3) is None:
+            css.load_from_data(style, -1)
+        else:
+            css.load_from_data(style.encode('utf-8'))
+        style_ctx = self.get_style_context()
+        style_ctx.add_provider(css, Gtk.STYLE_PROVIDER_PRIORITY_APPLICATION)
+        style_ctx.add_class("matplotlib-canvas")
+
+    def destroy(self):
+        CloseEvent("close_event", self)._process()
+
+    def set_cursor(self, cursor):
+        # docstring inherited
+        self.set_cursor_from_name(_backend_gtk.mpl_to_gtk_cursor_name(cursor))
+
+    def _mpl_coords(self, xy=None):
+        """
+        Convert the *xy* position of a GTK event, or of the current cursor
+        position if *xy* is None, to Matplotlib coordinates.
+
+        GTK use logical pixels, but the figure is scaled to physical pixels for
+        rendering.  Transform to physical pixels so that all of the down-stream
+        transforms work as expected.
+
+        Also, the origin is different and needs to be corrected.
+        """
+        if xy is None:
+            surface = self.get_native().get_surface()
+            is_over, x, y, mask = surface.get_device_position(
+                self.get_display().get_default_seat().get_pointer())
+        else:
+            x, y = xy
+        x = x * self.device_pixel_ratio
+        # flip y so y=0 is bottom of canvas
+        y = self.figure.bbox.height - y * self.device_pixel_ratio
+        return x, y
+
+    def scroll_event(self, controller, dx, dy):
+        MouseEvent(
+            "scroll_event", self, *self._mpl_coords(), step=dy,
+            modifiers=self._mpl_modifiers(controller),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+        return True
+
+    def button_press_event(self, controller, n_press, x, y):
+        MouseEvent(
+            "button_press_event", self, *self._mpl_coords((x, y)),
+            controller.get_current_button(),
+            modifiers=self._mpl_modifiers(controller),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+        self.grab_focus()
+
+    def button_release_event(self, controller, n_press, x, y):
+        MouseEvent(
+            "button_release_event", self, *self._mpl_coords((x, y)),
+            controller.get_current_button(),
+            modifiers=self._mpl_modifiers(controller),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+
+    def key_press_event(self, controller, keyval, keycode, state):
+        KeyEvent(
+            "key_press_event", self, self._get_key(keyval, keycode, state),
+            *self._mpl_coords(),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+        return True
+
+    def key_release_event(self, controller, keyval, keycode, state):
+        KeyEvent(
+            "key_release_event", self, self._get_key(keyval, keycode, state),
+            *self._mpl_coords(),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+        return True
+
+    def motion_notify_event(self, controller, x, y):
+        MouseEvent(
+            "motion_notify_event", self, *self._mpl_coords((x, y)),
+            buttons=self._mpl_buttons(controller),
+            modifiers=self._mpl_modifiers(controller),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+
+    def enter_notify_event(self, controller, x, y):
+        LocationEvent(
+            "figure_enter_event", self, *self._mpl_coords((x, y)),
+            modifiers=self._mpl_modifiers(),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+
+    def leave_notify_event(self, controller):
+        LocationEvent(
+            "figure_leave_event", self, *self._mpl_coords(),
+            modifiers=self._mpl_modifiers(),
+            guiEvent=controller.get_current_event() if _GOBJECT_GE_3_47 else None,
+        )._process()
+
+    def resize_event(self, area, width, height):
+        self._update_device_pixel_ratio()
+        dpi = self.figure.dpi
+        winch = width * self.device_pixel_ratio / dpi
+        hinch = height * self.device_pixel_ratio / dpi
+        self.figure.set_size_inches(winch, hinch, forward=False)
+        ResizeEvent("resize_event", self)._process()
+        self.draw_idle()
+
+    def _mpl_buttons(self, controller):
+        # NOTE: This spews "Broken accounting of active state" warnings on
+        # right click on macOS.
+        surface = self.get_native().get_surface()
+        is_over, x, y, event_state = surface.get_device_position(
+            self.get_display().get_default_seat().get_pointer())
+        # NOTE: alternatively we could use
+        #   event_state = controller.get_current_event_state()
+        # but for button_press/button_release this would report the state
+        # *prior* to the event rather than after it; the above reports the
+        # state *after* it.
+        mod_table = [
+            (MouseButton.LEFT, Gdk.ModifierType.BUTTON1_MASK),
+            (MouseButton.MIDDLE, Gdk.ModifierType.BUTTON2_MASK),
+            (MouseButton.RIGHT, Gdk.ModifierType.BUTTON3_MASK),
+            (MouseButton.BACK, Gdk.ModifierType.BUTTON4_MASK),
+            (MouseButton.FORWARD, Gdk.ModifierType.BUTTON5_MASK),
+        ]
+        return {name for name, mask in mod_table if event_state & mask}
+
+    def _mpl_modifiers(self, controller=None):
+        if controller is None:
+            surface = self.get_native().get_surface()
+            is_over, x, y, event_state = surface.get_device_position(
+                self.get_display().get_default_seat().get_pointer())
+        else:
+            event_state = controller.get_current_event_state()
+        mod_table = [
+            ("ctrl", Gdk.ModifierType.CONTROL_MASK),
+            ("alt", Gdk.ModifierType.ALT_MASK),
+            ("shift", Gdk.ModifierType.SHIFT_MASK),
+            ("super", Gdk.ModifierType.SUPER_MASK),
+        ]
+        return [name for name, mask in mod_table if event_state & mask]
+
+    def _get_key(self, keyval, keycode, state):
+        unikey = chr(Gdk.keyval_to_unicode(keyval))
+        key = cbook._unikey_or_keysym_to_mplkey(
+            unikey,
+            Gdk.keyval_name(keyval))
+        modifiers = [
+            ("ctrl", Gdk.ModifierType.CONTROL_MASK, "control"),
+            ("alt", Gdk.ModifierType.ALT_MASK, "alt"),
+            ("shift", Gdk.ModifierType.SHIFT_MASK, "shift"),
+            ("super", Gdk.ModifierType.SUPER_MASK, "super"),
+        ]
+        mods = [
+            mod for mod, mask, mod_key in modifiers
+            if (mod_key != key and state & mask
+                and not (mod == "shift" and unikey.isprintable()))]
+        return "+".join([*mods, key])
+
+    def _update_device_pixel_ratio(self, *args, **kwargs):
+        # We need to be careful in cases with mixed resolution displays if
+        # device_pixel_ratio changes.
+        if self._set_device_pixel_ratio(self.get_scale_factor()):
+            self.draw()
+
+    def _draw_rubberband(self, rect):
+        self._rubberband_rect = rect
+        # TODO: Only update the rubberband area.
+        self.queue_draw()
+
+    def _draw_func(self, drawing_area, ctx, width, height):
+        self.on_draw_event(self, ctx)
+        self._post_draw(self, ctx)
+
+    def _post_draw(self, widget, ctx):
+        if self._rubberband_rect is None:
+            return
+
+        lw = 1
+        dash = 3
+        x0, y0, w, h = (dim / self.device_pixel_ratio
+                        for dim in self._rubberband_rect)
+        x1 = x0 + w
+        y1 = y0 + h
+
+        # Draw the lines from x0, y0 towards x1, y1 so that the
+        # dashes don't "jump" when moving the zoom box.
+        ctx.move_to(x0, y0)
+        ctx.line_to(x0, y1)
+        ctx.move_to(x0, y0)
+        ctx.line_to(x1, y0)
+        ctx.move_to(x0, y1)
+        ctx.line_to(x1, y1)
+        ctx.move_to(x1, y0)
+        ctx.line_to(x1, y1)
+
+        ctx.set_antialias(1)
+        ctx.set_line_width(lw)
+        ctx.set_dash((dash, dash), 0)
+        ctx.set_source_rgb(0, 0, 0)
+        ctx.stroke_preserve()
+
+        ctx.set_dash((dash, dash), dash)
+        ctx.set_source_rgb(1, 1, 1)
+        ctx.stroke()
+
+    def on_draw_event(self, widget, ctx):
+        # to be overwritten by GTK4Agg or GTK4Cairo
+        pass
+
+    def draw(self):
+        # docstring inherited
+        if self.is_drawable():
+            self.queue_draw()
+
+    def draw_idle(self):
+        # docstring inherited
+        if self._idle_draw_id != 0:
+            return
+        def idle_draw(*args):
+            try:
+                self.draw()
+            finally:
+                self._idle_draw_id = 0
+            return False
+        self._idle_draw_id = GLib.idle_add(idle_draw)
+
+    def flush_events(self):
+        # docstring inherited
+        context = GLib.MainContext.default()
+        while context.pending():
+            context.iteration(True)
+
+
+class NavigationToolbar2GTK4(_NavigationToolbar2GTK, Gtk.Box):
+    def __init__(self, canvas):
+        Gtk.Box.__init__(self)
+
+        self.add_css_class('toolbar')
+
+        self._gtk_ids = {}
+        for text, tooltip_text, image_file, callback in self.toolitems:
+            if text is None:
+                self.append(Gtk.Separator())
+                continue
+            image = Gtk.Image.new_from_gicon(
+                Gio.Icon.new_for_string(
+                    str(cbook._get_data_path('images',
+                                             f'{image_file}-symbolic.svg'))))
+            self._gtk_ids[text] = button = (
+                Gtk.ToggleButton() if callback in ['zoom', 'pan'] else
+                Gtk.Button())
+            button.set_child(image)
+            button.add_css_class('flat')
+            button.add_css_class('image-button')
+            # Save the handler id, so that we can block it as needed.
+            button._signal_handler = button.connect(
+                'clicked', getattr(self, callback))
+            button.set_tooltip_text(tooltip_text)
+            self.append(button)
+
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = Gtk.Label()
+        label.set_markup(
+            '<small>\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}</small>')
+        label.set_hexpand(True)  # Push real message to the right.
+        self.append(label)
+
+        self.message = Gtk.Label()
+        self.message.set_justify(Gtk.Justification.RIGHT)
+        self.append(self.message)
+
+        _NavigationToolbar2GTK.__init__(self, canvas)
+
+    def save_figure(self, *args):
+        dialog = Gtk.FileChooserNative(
+            title='Save the figure',
+            transient_for=self.canvas.get_root(),
+            action=Gtk.FileChooserAction.SAVE,
+            modal=True)
+        self._save_dialog = dialog  # Must keep a reference.
+
+        ff = Gtk.FileFilter()
+        ff.set_name('All files')
+        ff.add_pattern('*')
+        dialog.add_filter(ff)
+        dialog.set_filter(ff)
+
+        formats = []
+        default_format = None
+        for i, (name, fmts) in enumerate(
+                self.canvas.get_supported_filetypes_grouped().items()):
+            ff = Gtk.FileFilter()
+            ff.set_name(name)
+            for fmt in fmts:
+                ff.add_pattern(f'*.{fmt}')
+            dialog.add_filter(ff)
+            formats.append(name)
+            if self.canvas.get_default_filetype() in fmts:
+                default_format = i
+        # Setting the choice doesn't always work, so make sure the default
+        # format is first.
+        formats = [formats[default_format], *formats[:default_format],
+                   *formats[default_format+1:]]
+        dialog.add_choice('format', 'File format', formats, formats)
+        dialog.set_choice('format', formats[0])
+
+        dialog.set_current_folder(Gio.File.new_for_path(
+            os.path.expanduser(mpl.rcParams['savefig.directory'])))
+        dialog.set_current_name(self.canvas.get_default_filename())
+
+        @functools.partial(dialog.connect, 'response')
+        def on_response(dialog, response):
+            file = dialog.get_file()
+            fmt = dialog.get_choice('format')
+            fmt = self.canvas.get_supported_filetypes_grouped()[fmt][0]
+            dialog.destroy()
+            self._save_dialog = None
+            if response != Gtk.ResponseType.ACCEPT:
+                return
+            # Save dir for next time, unless empty str (which means use cwd).
+            if mpl.rcParams['savefig.directory']:
+                parent = file.get_parent()
+                mpl.rcParams['savefig.directory'] = parent.get_path()
+            try:
+                self.canvas.figure.savefig(file.get_path(), format=fmt)
+            except Exception as e:
+                msg = Gtk.MessageDialog(
+                    transient_for=self.canvas.get_root(),
+                    message_type=Gtk.MessageType.ERROR,
+                    buttons=Gtk.ButtonsType.OK, modal=True,
+                    text=str(e))
+                msg.show()
+
+        dialog.show()
+        return self.UNKNOWN_SAVED_STATUS
+
+
+class ToolbarGTK4(ToolContainerBase, Gtk.Box):
+    _icon_extension = '-symbolic.svg'
+
+    def __init__(self, toolmanager):
+        ToolContainerBase.__init__(self, toolmanager)
+        Gtk.Box.__init__(self)
+        self.set_property('orientation', Gtk.Orientation.HORIZONTAL)
+
+        # Tool items are created later, but must appear before the message.
+        self._tool_box = Gtk.Box()
+        self.append(self._tool_box)
+        self._groups = {}
+        self._toolitems = {}
+
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = Gtk.Label()
+        label.set_markup(
+            '<small>\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}</small>')
+        label.set_hexpand(True)  # Push real message to the right.
+        self.append(label)
+
+        self._message = Gtk.Label()
+        self._message.set_justify(Gtk.Justification.RIGHT)
+        self.append(self._message)
+
+    def add_toolitem(self, name, group, position, image_file, description,
+                     toggle):
+        if toggle:
+            button = Gtk.ToggleButton()
+        else:
+            button = Gtk.Button()
+        button.set_label(name)
+        button.add_css_class('flat')
+
+        if image_file is not None:
+            image = Gtk.Image.new_from_gicon(
+                Gio.Icon.new_for_string(image_file))
+            button.set_child(image)
+            button.add_css_class('image-button')
+
+        if position is None:
+            position = -1
+
+        self._add_button(button, group, position)
+        signal = button.connect('clicked', self._call_tool, name)
+        button.set_tooltip_text(description)
+        self._toolitems.setdefault(name, [])
+        self._toolitems[name].append((button, signal))
+
+    def _find_child_at_position(self, group, position):
+        children = [None]
+        child = self._groups[group].get_first_child()
+        while child is not None:
+            children.append(child)
+            child = child.get_next_sibling()
+        return children[position]
+
+    def _add_button(self, button, group, position):
+        if group not in self._groups:
+            if self._groups:
+                self._add_separator()
+            group_box = Gtk.Box()
+            self._tool_box.append(group_box)
+            self._groups[group] = group_box
+        self._groups[group].insert_child_after(
+            button, self._find_child_at_position(group, position))
+
+    def _call_tool(self, btn, name):
+        self.trigger_tool(name)
+
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for toolitem, signal in self._toolitems[name]:
+            toolitem.handler_block(signal)
+            toolitem.set_active(toggled)
+            toolitem.handler_unblock(signal)
+
+    def remove_toolitem(self, name):
+        for toolitem, _signal in self._toolitems.pop(name, []):
+            for group in self._groups:
+                if toolitem in self._groups[group]:
+                    self._groups[group].remove(toolitem)
+
+    def _add_separator(self):
+        sep = Gtk.Separator()
+        sep.set_property("orientation", Gtk.Orientation.VERTICAL)
+        self._tool_box.append(sep)
+
+    def set_message(self, s):
+        self._message.set_label(s)
+
+
+@backend_tools._register_tool_class(FigureCanvasGTK4)
+class SaveFigureGTK4(backend_tools.SaveFigureBase):
+    def trigger(self, *args, **kwargs):
+        NavigationToolbar2GTK4.save_figure(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasGTK4)
+class HelpGTK4(backend_tools.ToolHelpBase):
+    def _normalize_shortcut(self, key):
+        """
+        Convert Matplotlib key presses to GTK+ accelerator identifiers.
+
+        Related to `FigureCanvasGTK4._get_key`.
+        """
+        special = {
+            'backspace': 'BackSpace',
+            'pagedown': 'Page_Down',
+            'pageup': 'Page_Up',
+            'scroll_lock': 'Scroll_Lock',
+        }
+
+        parts = key.split('+')
+        mods = ['<' + mod + '>' for mod in parts[:-1]]
+        key = parts[-1]
+
+        if key in special:
+            key = special[key]
+        elif len(key) > 1:
+            key = key.capitalize()
+        elif key.isupper():
+            mods += ['<shift>']
+
+        return ''.join(mods) + key
+
+    def _is_valid_shortcut(self, key):
+        """
+        Check for a valid shortcut to be displayed.
+
+        - GTK will never send 'cmd+' (see `FigureCanvasGTK4._get_key`).
+        - The shortcut window only shows keyboard shortcuts, not mouse buttons.
+        """
+        return 'cmd+' not in key and not key.startswith('MouseButton.')
+
+    def trigger(self, *args):
+        section = Gtk.ShortcutsSection()
+
+        for name, tool in sorted(self.toolmanager.tools.items()):
+            if not tool.description:
+                continue
+
+            # Putting everything in a separate group allows GTK to
+            # automatically split them into separate columns/pages, which is
+            # useful because we have lots of shortcuts, some with many keys
+            # that are very wide.
+            group = Gtk.ShortcutsGroup()
+            section.append(group)
+            # A hack to remove the title since we have no group naming.
+            child = group.get_first_child()
+            while child is not None:
+                child.set_visible(False)
+                child = child.get_next_sibling()
+
+            shortcut = Gtk.ShortcutsShortcut(
+                accelerator=' '.join(
+                    self._normalize_shortcut(key)
+                    for key in self.toolmanager.get_tool_keymap(name)
+                    if self._is_valid_shortcut(key)),
+                title=tool.name,
+                subtitle=tool.description)
+            group.append(shortcut)
+
+        window = Gtk.ShortcutsWindow(
+            title='Help',
+            modal=True,
+            transient_for=self._figure.canvas.get_root())
+        window.set_child(section)
+
+        window.show()
+
+
+@backend_tools._register_tool_class(FigureCanvasGTK4)
+class ToolCopyToClipboardGTK4(backend_tools.ToolCopyToClipboardBase):
+    def trigger(self, *args, **kwargs):
+        with io.BytesIO() as f:
+            self.canvas.print_rgba(f)
+            w, h = self.canvas.get_width_height()
+            pb = GdkPixbuf.Pixbuf.new_from_data(f.getbuffer(),
+                                                GdkPixbuf.Colorspace.RGB, True,
+                                                8, w, h, w*4)
+        clipboard = self.canvas.get_clipboard()
+        clipboard.set(pb)
+
+
+backend_tools._register_tool_class(
+    FigureCanvasGTK4, _backend_gtk.ConfigureSubplotsGTK)
+backend_tools._register_tool_class(
+    FigureCanvasGTK4, _backend_gtk.RubberbandGTK)
+Toolbar = ToolbarGTK4
+
+
+class FigureManagerGTK4(_FigureManagerGTK):
+    _toolbar2_class = NavigationToolbar2GTK4
+    _toolmanager_toolbar_class = ToolbarGTK4
+
+
+@_BackendGTK.export
+class _BackendGTK4(_BackendGTK):
+    FigureCanvas = FigureCanvasGTK4
+    FigureManager = FigureManagerGTK4
diff --git a/lib/matplotlib/backends/backend_gtk4agg.py b/lib/matplotlib/backends/backend_gtk4agg.py
new file mode 100644
index 000000000000..0af07850a30a
--- /dev/null
+++ b/lib/matplotlib/backends/backend_gtk4agg.py
@@ -0,0 +1,41 @@
+import numpy as np
+
+from .. import cbook
+from . import backend_agg, backend_gtk4
+from .backend_gtk4 import GLib, Gtk, _BackendGTK4
+
+import cairo  # Presence of cairo is already checked by _backend_gtk.
+
+
+class FigureCanvasGTK4Agg(backend_agg.FigureCanvasAgg,
+                          backend_gtk4.FigureCanvasGTK4):
+
+    def on_draw_event(self, widget, ctx):
+        if self._idle_draw_id:
+            GLib.source_remove(self._idle_draw_id)
+            self._idle_draw_id = 0
+            self.draw()
+
+        scale = self.device_pixel_ratio
+        allocation = self.get_allocation()
+
+        Gtk.render_background(
+            self.get_style_context(), ctx,
+            allocation.x, allocation.y,
+            allocation.width, allocation.height)
+
+        buf = cbook._unmultiplied_rgba8888_to_premultiplied_argb32(
+            np.asarray(self.get_renderer().buffer_rgba()))
+        height, width, _ = buf.shape
+        image = cairo.ImageSurface.create_for_data(
+            buf.ravel().data, cairo.FORMAT_ARGB32, width, height)
+        image.set_device_scale(scale, scale)
+        ctx.set_source_surface(image, 0, 0)
+        ctx.paint()
+
+        return False
+
+
+@_BackendGTK4.export
+class _BackendGTK4Agg(_BackendGTK4):
+    FigureCanvas = FigureCanvasGTK4Agg
diff --git a/lib/matplotlib/backends/backend_gtk4cairo.py b/lib/matplotlib/backends/backend_gtk4cairo.py
new file mode 100644
index 000000000000..838ea03fcce6
--- /dev/null
+++ b/lib/matplotlib/backends/backend_gtk4cairo.py
@@ -0,0 +1,32 @@
+from contextlib import nullcontext
+
+from .backend_cairo import FigureCanvasCairo
+from .backend_gtk4 import GLib, Gtk, FigureCanvasGTK4, _BackendGTK4
+
+
+class FigureCanvasGTK4Cairo(FigureCanvasCairo, FigureCanvasGTK4):
+    def _set_device_pixel_ratio(self, ratio):
+        # Cairo in GTK4 always uses logical pixels, so we don't need to do anything for
+        # changes to the device pixel ratio.
+        return False
+
+    def on_draw_event(self, widget, ctx):
+        if self._idle_draw_id:
+            GLib.source_remove(self._idle_draw_id)
+            self._idle_draw_id = 0
+            self.draw()
+
+        with (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar
+              else nullcontext()):
+            self._renderer.set_context(ctx)
+            allocation = self.get_allocation()
+            Gtk.render_background(
+                self.get_style_context(), ctx,
+                allocation.x, allocation.y,
+                allocation.width, allocation.height)
+            self.figure.draw(self._renderer)
+
+
+@_BackendGTK4.export
+class _BackendGTK4Cairo(_BackendGTK4):
+    FigureCanvas = FigureCanvasGTK4Cairo
diff --git a/lib/matplotlib/backends/backend_gtkagg.py b/lib/matplotlib/backends/backend_gtkagg.py
deleted file mode 100644
index 3e108417dd36..000000000000
--- a/lib/matplotlib/backends/backend_gtkagg.py
+++ /dev/null
@@ -1,127 +0,0 @@
-"""
-Render to gtk from agg
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os
-
-import matplotlib
-from matplotlib.figure import Figure
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, FigureCanvasGTK,\
-     show, draw_if_interactive,\
-     error_msg_gtk, PIXELS_PER_INCH, backend_version, \
-     NavigationToolbar2GTK
-from matplotlib.backends._gtkagg import agg_to_gtk_drawable
-
-
-DEBUG = False
-
-class NavigationToolbar2GTKAgg(NavigationToolbar2GTK):
-    def _get_canvas(self, fig):
-        return FigureCanvasGTKAgg(fig)
-
-
-class FigureManagerGTKAgg(FigureManagerGTK):
-    def _get_toolbar(self, canvas):
-        # must be inited after the window, drawingArea and figure
-        # attrs are set
-        if matplotlib.rcParams['toolbar']=='toolbar2':
-            toolbar = NavigationToolbar2GTKAgg (canvas, self.window)
-        else:
-            toolbar = None
-        return toolbar
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    if DEBUG: print('backend_gtkagg.new_figure_manager')
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasGTKAgg(figure)
-    return FigureManagerGTKAgg(canvas, num)
-    if DEBUG: print('backend_gtkagg.new_figure_manager done')
-
-
-class FigureCanvasGTKAgg(FigureCanvasGTK, FigureCanvasAgg):
-    filetypes = FigureCanvasGTK.filetypes.copy()
-    filetypes.update(FigureCanvasAgg.filetypes)
-
-    def configure_event(self, widget, event=None):
-
-        if DEBUG: print('FigureCanvasGTKAgg.configure_event')
-        if widget.window is None:
-            return
-        try:
-            del self.renderer
-        except AttributeError:
-            pass
-        w,h = widget.window.get_size()
-        if w==1 or h==1: return # empty fig
-
-        # compute desired figure size in inches
-        dpival = self.figure.dpi
-        winch = w/dpival
-        hinch = h/dpival
-        self.figure.set_size_inches(winch, hinch)
-        self._need_redraw = True
-        self.resize_event()
-        if DEBUG: print('FigureCanvasGTKAgg.configure_event end')
-        return True
-
-    def _render_figure(self, pixmap, width, height):
-        if DEBUG: print('FigureCanvasGTKAgg.render_figure')
-        FigureCanvasAgg.draw(self)
-        if DEBUG: print('FigureCanvasGTKAgg.render_figure pixmap', pixmap)
-        #agg_to_gtk_drawable(pixmap, self.renderer._renderer, None)
-
-        buf = self.buffer_rgba()
-        ren = self.get_renderer()
-        w = int(ren.width)
-        h = int(ren.height)
-
-        pixbuf = gtk.gdk.pixbuf_new_from_data(
-            buf, gtk.gdk.COLORSPACE_RGB,  True, 8, w, h, w*4)
-        pixmap.draw_pixbuf(pixmap.new_gc(), pixbuf, 0, 0, 0, 0, w, h,
-                           gtk.gdk.RGB_DITHER_NONE, 0, 0)
-        if DEBUG: print('FigureCanvasGTKAgg.render_figure done')
-
-    def blit(self, bbox=None):
-        if DEBUG: print('FigureCanvasGTKAgg.blit', self._pixmap)
-        agg_to_gtk_drawable(self._pixmap, self.renderer._renderer, bbox)
-
-        x, y, w, h = self.allocation
-
-        self.window.draw_drawable (self.style.fg_gc[self.state], self._pixmap,
-                                   0, 0, 0, 0, w, h)
-        if DEBUG: print('FigureCanvasGTKAgg.done')
-
-    def print_png(self, filename, *args, **kwargs):
-        # Do this so we can save the resolution of figure in the PNG file
-        agg = self.switch_backends(FigureCanvasAgg)
-        return agg.print_png(filename, *args, **kwargs)
-
-
-"""\
-Traceback (most recent call last):
-  File "/home/titan/johnh/local/lib/python2.3/site-packages/matplotlib/backends/backend_gtk.py", line 304, in expose_event
-    self._render_figure(self._pixmap, w, h)
-  File "/home/titan/johnh/local/lib/python2.3/site-packages/matplotlib/backends/backend_gtkagg.py", line 77, in _render_figure
-    pixbuf = gtk.gdk.pixbuf_new_from_data(
-ValueError: data length (3156672) is less then required by the other parameters (3160608)
-"""
-
-FigureCanvas = FigureCanvasGTKAgg
-FigureManager = FigureManagerGTKAgg
diff --git a/lib/matplotlib/backends/backend_gtkcairo.py b/lib/matplotlib/backends/backend_gtkcairo.py
deleted file mode 100644
index 93bb69857a1f..000000000000
--- a/lib/matplotlib/backends/backend_gtkcairo.py
+++ /dev/null
@@ -1,79 +0,0 @@
-"""
-GTK+ Matplotlib interface using cairo (not GDK) drawing operations.
-Author: Steve Chaplin
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import gtk
-if gtk.pygtk_version < (2,7,0):
-    import cairo.gtk
-
-from matplotlib.backends import backend_cairo
-from matplotlib.backends.backend_gtk import *
-
-backend_version = 'PyGTK(%d.%d.%d) ' % gtk.pygtk_version + \
-                  'Pycairo(%s)' % backend_cairo.backend_version
-
-
-_debug = False
-#_debug = True
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    if _debug: print('backend_gtkcairo.%s()' % fn_name())
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasGTKCairo(figure)
-    return FigureManagerGTK(canvas, num)
-
-
-class RendererGTKCairo (backend_cairo.RendererCairo):
-    if gtk.pygtk_version >= (2,7,0):
-        def set_pixmap (self, pixmap):
-            self.gc.ctx = pixmap.cairo_create()
-    else:
-        def set_pixmap (self, pixmap):
-            self.gc.ctx = cairo.gtk.gdk_cairo_create (pixmap)
-
-
-class FigureCanvasGTKCairo(backend_cairo.FigureCanvasCairo, FigureCanvasGTK):
-    filetypes = FigureCanvasGTK.filetypes.copy()
-    filetypes.update(backend_cairo.FigureCanvasCairo.filetypes)
-
-    def _renderer_init(self):
-        """Override to use cairo (rather than GDK) renderer"""
-        if _debug: print('%s.%s()' % (self.__class__.__name__, _fn_name()))
-        self._renderer = RendererGTKCairo (self.figure.dpi)
-
-
-class FigureManagerGTKCairo(FigureManagerGTK):
-    def _get_toolbar(self, canvas):
-        # must be inited after the window, drawingArea and figure
-        # attrs are set
-        if matplotlib.rcParams['toolbar']=='toolbar2':
-            toolbar = NavigationToolbar2GTKCairo (canvas, self.window)
-        else:
-            toolbar = None
-        return toolbar
-
-
-class NavigationToolbar2Cairo(NavigationToolbar2GTK):
-    def _get_canvas(self, fig):
-        return FigureCanvasGTKCairo(fig)
-
-
-FigureCanvas = FigureCanvasGTKCairo
-FigureManager = FigureManagerGTKCairo
diff --git a/lib/matplotlib/backends/backend_macosx.py b/lib/matplotlib/backends/backend_macosx.py
old mode 100755
new mode 100644
index 43434e374e1d..6ea437a90ca1
--- a/lib/matplotlib/backends/backend_macosx.py
+++ b/lib/matplotlib/backends/backend_macosx.py
@@ -1,429 +1,196 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import os
-import numpy
 
+import matplotlib as mpl
+from matplotlib import _api, cbook
 from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureManagerBase, FigureCanvasBase, NavigationToolbar2, TimerBase
-from matplotlib.backend_bases import ShowBase
-
-from matplotlib.cbook import maxdict
-from matplotlib.figure import Figure
-from matplotlib.path import Path
-from matplotlib.mathtext import MathTextParser
-from matplotlib.colors import colorConverter
-from matplotlib import rcParams
-
-from matplotlib.widgets import SubplotTool
-
-import matplotlib
-from matplotlib.backends import _macosx
-
-
-class Show(ShowBase):
-    def mainloop(self):
-        _macosx.show()
-show = Show()
-
-
-class RendererMac(RendererBase):
-    """
-    The renderer handles drawing/rendering operations. Most of the renderer's
-    methods forward the command to the renderer's graphics context. The
-    renderer does not wrap a C object and is written in pure Python.
-    """
-
-    texd = maxdict(50)  # a cache of tex image rasters
-
-    def __init__(self, dpi, width, height):
-        RendererBase.__init__(self)
-        self.dpi = dpi
-        self.width = width
-        self.height = height
-        self.gc = GraphicsContextMac()
-        self.gc.set_dpi(self.dpi)
-        self.mathtext_parser = MathTextParser('MacOSX')
-
-    def set_width_height (self, width, height):
-        self.width, self.height = width, height
-
-    def draw_path(self, gc, path, transform, rgbFace=None):
-        if rgbFace is not None:
-            rgbFace = tuple(rgbFace)
-        linewidth = gc.get_linewidth()
-        gc.draw_path(path, transform, linewidth, rgbFace)
-
-    def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
-        if rgbFace is not None:
-            rgbFace = tuple(rgbFace)
-        linewidth = gc.get_linewidth()
-        gc.draw_markers(marker_path, marker_trans, path, trans, linewidth, rgbFace)
-
-    def draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
-                             linewidths, linestyles, antialiaseds, urls,
-                             offset_position):
-        if offset_position=='data':
-            offset_position = True
-        else:
-            offset_position = False
-        path_ids = []
-        for path, transform in self._iter_collection_raw_paths(
-            master_transform, paths, all_transforms):
-            path_ids.append((path, transform))
-        master_transform = master_transform.get_matrix()
-        offsetTrans = offsetTrans.get_matrix()
-        gc.draw_path_collection(master_transform, path_ids, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
-                             linewidths, linestyles, antialiaseds,
-                             offset_position)
-
-    def draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
-                       coordinates, offsets, offsetTrans, facecolors,
-                       antialiased, edgecolors):
-        gc.draw_quad_mesh(master_transform.get_matrix(),
-                          meshWidth,
-                          meshHeight,
-                          coordinates,
-                          offsets,
-                          offsetTrans.get_matrix(),
-                          facecolors,
-                          antialiased,
-                          edgecolors)
-
-    def new_gc(self):
-        self.gc.save()
-        self.gc.set_hatch(None)
-        self.gc._alpha = 1.0
-        self.gc._forced_alpha = False # if True, _alpha overrides A from RGBA
-        return self.gc
-
-    def draw_gouraud_triangle(self, gc, points, colors, transform):
-        points = transform.transform(points)
-        gc.draw_gouraud_triangle(points, colors)
-
-    def get_image_magnification(self):
-        return self.gc.get_image_magnification()
-
-    def draw_image(self, gc, x, y, im):
-        nrows, ncols, data = im.as_rgba_str()
-        gc.draw_image(x, y, nrows, ncols, data)
-
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
-        # todo, handle props, angle, origins
-        scale = self.gc.get_image_magnification()
-        size = prop.get_size_in_points()
-        texmanager = self.get_texmanager()
-        key = s, size, self.dpi, angle, texmanager.get_font_config()
-        im = self.texd.get(key) # Not sure what this does; just copied from backend_agg.py
-        if im is None:
-            Z = texmanager.get_grey(s, size, self.dpi*scale)
-            Z = numpy.array(255.0 - Z * 255.0, numpy.uint8)
-
-        gc.draw_mathtext(x, y, angle, Z)
-
-    def _draw_mathtext(self, gc, x, y, s, prop, angle):
-        scale = self.gc.get_image_magnification()
-        ox, oy, width, height, descent, image, used_characters = \
-            self.mathtext_parser.parse(s, self.dpi*scale, prop)
-        gc.draw_mathtext(x, y, angle, 255 - image.as_array())
-
-    def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        if ismath:
-            self._draw_mathtext(gc, x, y, s, prop, angle)
-        else:
-            family =  prop.get_family()
-            weight = prop.get_weight()
-            style = prop.get_style()
-            points = prop.get_size_in_points()
-            size = self.points_to_pixels(points)
-            gc.draw_text(x, y, six.text_type(s), family, size, weight, style, angle)
-
-    def get_text_width_height_descent(self, s, prop, ismath):
-        if ismath=='TeX':
-            # todo: handle props
-            texmanager = self.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=self)
-            return w, h, d
-        if ismath:
-            ox, oy, width, height, descent, fonts, used_characters = \
-                self.mathtext_parser.parse(s, self.dpi, prop)
-            return width, height, descent
-        family =  prop.get_family()
-        weight = prop.get_weight()
-        style = prop.get_style()
-        points = prop.get_size_in_points()
-        size = self.points_to_pixels(points)
-        width, height, descent = self.gc.get_text_width_height_descent(
-            six.text_type(s), family, size, weight, style)
-        return  width, height, 0.0*descent
-
-    def flipy(self):
-        return False
-
-    def points_to_pixels(self, points):
-        return points/72.0 * self.dpi
-
-    def option_image_nocomposite(self):
-        return True
-
-
-class GraphicsContextMac(_macosx.GraphicsContext, GraphicsContextBase):
-    """
-    The GraphicsContext wraps a Quartz graphics context. All methods
-    are implemented at the C-level in macosx.GraphicsContext. These
-    methods set drawing properties such as the line style, fill color,
-    etc. The actual drawing is done by the Renderer, which draws into
-    the GraphicsContext.
-    """
-    def __init__(self):
-        GraphicsContextBase.__init__(self)
-        _macosx.GraphicsContext.__init__(self)
-
-    def set_alpha(self, alpha):
-        GraphicsContextBase.set_alpha(self, alpha)
-        _alpha = self.get_alpha()
-        _macosx.GraphicsContext.set_alpha(self, _alpha, self.get_forced_alpha())
-        rgb = self.get_rgb()
-        _macosx.GraphicsContext.set_foreground(self, rgb)
-
-    def set_foreground(self, fg, isRGBA=False):
-        GraphicsContextBase.set_foreground(self, fg, isRGBA)
-        rgb = self.get_rgb()
-        _macosx.GraphicsContext.set_foreground(self, rgb)
-
-    def set_graylevel(self, fg):
-        GraphicsContextBase.set_graylevel(self, fg)
-        _macosx.GraphicsContext.set_graylevel(self, fg)
-
-    def set_clip_rectangle(self, box):
-        GraphicsContextBase.set_clip_rectangle(self, box)
-        if not box: return
-        _macosx.GraphicsContext.set_clip_rectangle(self, box.bounds)
-
-    def set_clip_path(self, path):
-        GraphicsContextBase.set_clip_path(self, path)
-        if not path: return
-        path = path.get_fully_transformed_path()
-        _macosx.GraphicsContext.set_clip_path(self, path)
-
-
-########################################################################
-#
-# The following functions and classes are for pylab and implement
-# window/figure managers, etc...
-#
-########################################################################
-
-def draw_if_interactive():
-    """
-    For performance reasons, we don't want to redraw the figure after
-    each draw command. Instead, we mark the figure as invalid, so that
-    it will be redrawn as soon as the event loop resumes via PyOS_InputHook.
-    This function should be called after each draw event, even if
-    matplotlib is not running interactively.
-    """
-    if matplotlib.is_interactive():
-        figManager =  Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.invalidate()
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    figure = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, figure)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasMac(figure)
-    manager = FigureManagerMac(canvas, num)
-    return manager
+from . import _macosx
+from .backend_agg import FigureCanvasAgg
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    ResizeEvent, TimerBase, _allow_interrupt)
 
 
 class TimerMac(_macosx.Timer, TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses CoreFoundation
-    run loops for timer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
+    """Subclass of `.TimerBase` using CFRunLoop timer events."""
     # completely implemented at the C-level (in _macosx.Timer)
 
 
-class FigureCanvasMac(_macosx.FigureCanvas, FigureCanvasBase):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
+def _allow_interrupt_macos():
+    """A context manager that allows terminating a plot by sending a SIGINT."""
+    return _allow_interrupt(
+        lambda rsock: _macosx.wake_on_fd_write(rsock.fileno()), _macosx.stop)
 
-    Public attribute
 
-      figure - A Figure instance
+class FigureCanvasMac(FigureCanvasAgg, _macosx.FigureCanvas, FigureCanvasBase):
+    # docstring inherited
 
-    Events such as button presses, mouse movements, and key presses
-    are handled in the C code and the base class methods
-    button_press_event, button_release_event, motion_notify_event,
-    key_press_event, and key_release_event are called from there.
-    """
+    # Ideally this class would be `class FCMacAgg(FCAgg, FCMac)`
+    # (FC=FigureCanvas) where FCMac would be an ObjC-implemented mac-specific
+    # class also inheriting from FCBase (this is the approach with other GUI
+    # toolkits).  However, writing an extension type inheriting from a Python
+    # base class is slightly tricky (the extension type must be a heap type),
+    # and we can just as well lift the FCBase base up one level, keeping it *at
+    # the end* to have the right method resolution order.
 
-    filetypes = FigureCanvasBase.filetypes.copy()
-    filetypes['bmp'] = 'Windows bitmap'
-    filetypes['jpeg'] = 'JPEG'
-    filetypes['jpg'] = 'JPEG'
-    filetypes['gif'] = 'Graphics Interchange Format'
-    filetypes['tif'] = 'Tagged Image Format File'
-    filetypes['tiff'] = 'Tagged Image Format File'
+    # Events such as button presses, mouse movements, and key presses are
+    # handled in C and events (MouseEvent, etc.) are triggered from there.
 
-    def __init__(self, figure):
-        FigureCanvasBase.__init__(self, figure)
-        width, height = self.get_width_height()
-        self.renderer = RendererMac(figure.dpi, width, height)
-        _macosx.FigureCanvas.__init__(self, width, height)
+    required_interactive_framework = "macosx"
+    _timer_cls = TimerMac
+    manager_class = _api.classproperty(lambda cls: FigureManagerMac)
 
-    def resize(self, width, height):
-        self.renderer.set_width_height(width, height)
-        dpi = self.figure.dpi
-        width /= dpi
-        height /= dpi
-        self.figure.set_size_inches(width, height)
-
-    def _print_bitmap(self, filename, *args, **kwargs):
-        # In backend_bases.py, print_figure changes the dpi of the figure.
-        # But since we are essentially redrawing the picture, we need the
-        # original dpi. Pick it up from the renderer.
-        dpi = kwargs['dpi']
-        old_dpi = self.figure.dpi
-        self.figure.dpi = self.renderer.dpi
-        width, height = self.figure.get_size_inches()
-        width, height = width*dpi, height*dpi
-        filename = six.text_type(filename)
-        self.write_bitmap(filename, width, height, dpi)
-        self.figure.dpi = old_dpi
-
-    def print_bmp(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def print_jpg(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def print_jpeg(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def print_tif(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def print_tiff(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def print_gif(self, filename, *args, **kwargs):
-        self._print_bitmap(filename, *args, **kwargs)
-
-    def new_timer(self, *args, **kwargs):
+    def __init__(self, figure):
+        super().__init__(figure=figure)
+        self._draw_pending = False
+        self._is_drawing = False
+        # Keep track of the timers that are alive
+        self._timers = set()
+
+    def draw(self):
+        """Render the figure and update the macosx canvas."""
+        # The renderer draw is done here; delaying causes problems with code
+        # that uses the result of the draw() to update plot elements.
+        if self._is_drawing:
+            return
+        with cbook._setattr_cm(self, _is_drawing=True):
+            super().draw()
+        self.update()
+
+    def draw_idle(self):
+        # docstring inherited
+        if not (getattr(self, '_draw_pending', False) or
+                getattr(self, '_is_drawing', False)):
+            self._draw_pending = True
+            # Add a singleshot timer to the eventloop that will call back
+            # into the Python method _draw_idle to take care of the draw
+            self._single_shot_timer(self._draw_idle)
+
+    def _single_shot_timer(self, callback):
+        """Add a single shot timer with the given callback"""
+        def callback_func(callback, timer):
+            callback()
+            self._timers.remove(timer)
+        timer = self.new_timer(interval=0)
+        timer.single_shot = True
+        timer.add_callback(callback_func, callback, timer)
+        self._timers.add(timer)
+        timer.start()
+
+    def _draw_idle(self):
         """
-        Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
-        This is useful for getting periodic events through the backend's native
-        event loop. Implemented only for backends with GUIs.
-
-        optional arguments:
+        Draw method for singleshot timer
 
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
+        This draw method can be added to a singleshot timer, which can
+        accumulate draws while the eventloop is spinning. This method will
+        then only draw the first time and short-circuit the others.
         """
-        return TimerMac(*args, **kwargs)
-
-
-class FigureManagerMac(_macosx.FigureManager, FigureManagerBase):
-    """
-    Wrap everything up into a window for the pylab interface
-    """
-    def __init__(self, canvas, num):
-        FigureManagerBase.__init__(self, canvas, num)
-        title = "Figure %d" % num
-        _macosx.FigureManager.__init__(self, canvas, title)
-        if rcParams['toolbar']=='toolbar2':
-            self.toolbar = NavigationToolbar2Mac(canvas)
-        else:
-            self.toolbar = None
-        if self.toolbar is not None:
-            self.toolbar.update()
+        with self._idle_draw_cntx():
+            if not self._draw_pending:
+                # Short-circuit because our draw request has already been
+                # taken care of
+                return
+            self._draw_pending = False
+            self.draw()
+
+    def blit(self, bbox=None):
+        # docstring inherited
+        super().blit(bbox)
+        self.update()
 
-        def notify_axes_change(fig):
-            'this will be called whenever the current axes is changed'
-            if self.toolbar != None: self.toolbar.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
-
-        if matplotlib.is_interactive():
-            self.show()
+    def resize(self, width, height):
+        # Size from macOS is logical pixels, dpi is physical.
+        scale = self.figure.dpi / self.device_pixel_ratio
+        width /= scale
+        height /= scale
+        self.figure.set_size_inches(width, height, forward=False)
+        ResizeEvent("resize_event", self)._process()
+        self.draw_idle()
 
-    def close(self):
-        Gcf.destroy(self.num)
+    def start_event_loop(self, timeout=0):
+        # docstring inherited
+        # Set up a SIGINT handler to allow terminating a plot via CTRL-C.
+        with _allow_interrupt_macos():
+            self._start_event_loop(timeout=timeout)  # Forward to ObjC implementation.
 
 
 class NavigationToolbar2Mac(_macosx.NavigationToolbar2, NavigationToolbar2):
 
     def __init__(self, canvas):
+        data_path = cbook._get_data_path('images')
+        _, tooltips, image_names, _ = zip(*NavigationToolbar2.toolitems)
+        _macosx.NavigationToolbar2.__init__(
+            self, canvas,
+            tuple(str(data_path / image_name) + ".pdf"
+                  for image_name in image_names if image_name is not None),
+            tuple(tooltip for tooltip in tooltips if tooltip is not None))
         NavigationToolbar2.__init__(self, canvas)
 
-    def _init_toolbar(self):
-        basedir = os.path.join(rcParams['datapath'], "images")
-        _macosx.NavigationToolbar2.__init__(self, basedir)
-
     def draw_rubberband(self, event, x0, y0, x1, y1):
         self.canvas.set_rubberband(int(x0), int(y0), int(x1), int(y1))
 
-    def release(self, event):
+    def remove_rubberband(self):
         self.canvas.remove_rubberband()
 
-    def set_cursor(self, cursor):
-        _macosx.set_cursor(cursor)
-
     def save_figure(self, *args):
+        directory = os.path.expanduser(mpl.rcParams['savefig.directory'])
         filename = _macosx.choose_save_file('Save the figure',
+                                            directory,
                                             self.canvas.get_default_filename())
-        if filename is None: # Cancel
+        if filename is None:  # Cancel
             return
-        self.canvas.print_figure(filename)
-
-    def prepare_configure_subplots(self):
-        toolfig = Figure(figsize=(6,3))
-        canvas = FigureCanvasMac(toolfig)
-        toolfig.subplots_adjust(top=0.9)
-        tool = SubplotTool(self.canvas.figure, toolfig)
-        return canvas
-
-    def set_message(self, message):
-        _macosx.NavigationToolbar2.set_message(self, message.encode('utf-8'))
+        # Save dir for next time, unless empty str (which means use cwd).
+        if mpl.rcParams['savefig.directory']:
+            mpl.rcParams['savefig.directory'] = os.path.dirname(filename)
+        self.canvas.figure.savefig(filename)
+        return filename
 
-    def dynamic_update(self):
-        self.canvas.draw_idle()
 
-########################################################################
-#
-# Now just provide the standard names that backend.__init__ is expecting
-#
-########################################################################
+class FigureManagerMac(_macosx.FigureManager, FigureManagerBase):
+    _toolbar2_class = NavigationToolbar2Mac
 
-FigureCanvas = FigureCanvasMac
-FigureManager = FigureManagerMac
+    def __init__(self, canvas, num):
+        self._shown = False
+        _macosx.FigureManager.__init__(self, canvas)
+        icon_path = str(cbook._get_data_path('images/matplotlib.pdf'))
+        _macosx.FigureManager.set_icon(icon_path)
+        FigureManagerBase.__init__(self, canvas, num)
+        self._set_window_mode(mpl.rcParams["macosx.window_mode"])
+        if self.toolbar is not None:
+            self.toolbar.update()
+        if mpl.is_interactive():
+            self.show()
+            self.canvas.draw_idle()
+
+    def _close_button_pressed(self):
+        Gcf.destroy(self)
+        self.canvas.flush_events()
+
+    def destroy(self):
+        # We need to clear any pending timers that never fired, otherwise
+        # we get a memory leak from the timer callbacks holding a reference
+        while self.canvas._timers:
+            timer = self.canvas._timers.pop()
+            timer.stop()
+        super().destroy()
+
+    @classmethod
+    def start_main_loop(cls):
+        # Set up a SIGINT handler to allow terminating a plot via CTRL-C.
+        with _allow_interrupt_macos():
+            _macosx.show()
+
+    def show(self):
+        if self.canvas.figure.stale:
+            self.canvas.draw_idle()
+        if not self._shown:
+            self._show()
+            self._shown = True
+        if mpl.rcParams["figure.raise_window"]:
+            self._raise()
+
+
+@_Backend.export
+class _BackendMac(_Backend):
+    FigureCanvas = FigureCanvasMac
+    FigureManager = FigureManagerMac
+    mainloop = FigureManagerMac.start_main_loop
diff --git a/lib/matplotlib/backends/backend_mixed.py b/lib/matplotlib/backends/backend_mixed.py
index ee48f9274bbe..36c0896f3097 100644
--- a/lib/matplotlib/backends/backend_mixed.py
+++ b/lib/matplotlib/backends/backend_mixed.py
@@ -1,14 +1,11 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import numpy as np
 
-import six
+from matplotlib import cbook
+from .backend_agg import RendererAgg
+from matplotlib._tight_bbox import process_figure_for_rasterizing
 
-from matplotlib._image import frombuffer
-from matplotlib.backends.backend_agg import RendererAgg
-from matplotlib.tight_bbox import process_figure_for_rasterizing
 
-
-class MixedModeRenderer(object):
+class MixedModeRenderer:
     """
     A helper class to implement a renderer that switches between
     vector and raster drawing.  An example may be a PDF writer, where
@@ -20,20 +17,25 @@ def __init__(self, figure, width, height, dpi, vector_renderer,
                  raster_renderer_class=None,
                  bbox_inches_restore=None):
         """
-        figure: The figure instance.
-
-        width: The width of the canvas in logical units
-
-        height: The height of the canvas in logical units
-
-        dpi: The dpi of the canvas
+        Parameters
+        ----------
+        figure : `~matplotlib.figure.Figure`
+            The figure instance.
+        width : float
+            The width of the canvas in logical units
+        height : float
+            The height of the canvas in logical units
+        dpi : float
+            The dpi of the canvas
+        vector_renderer : `~matplotlib.backend_bases.RendererBase`
+            An instance of a subclass of
+            `~matplotlib.backend_bases.RendererBase` that will be used for the
+            vector drawing.
+        raster_renderer_class : `~matplotlib.backend_bases.RendererBase`
+            The renderer class to use for the raster drawing.  If not provided,
+            this will use the Agg backend (which is currently the only viable
+            option anyway.)
 
-        vector_renderer: An instance of a subclass of RendererBase
-        that will be used for the vector drawing.
-
-        raster_renderer_class: The renderer class to use for the
-        raster drawing.  If not provided, this will use the Agg
-        backend (which is currently the only viable option anyway.)
         """
         if raster_renderer_class is None:
             raster_renderer_class = RendererAgg
@@ -43,101 +45,78 @@ def __init__(self, figure, width, height, dpi, vector_renderer,
         self._height = height
         self.dpi = dpi
 
-        assert not vector_renderer.option_image_nocomposite()
         self._vector_renderer = vector_renderer
 
         self._raster_renderer = None
-        self._rasterizing = 0
 
         # A reference to the figure is needed as we need to change
         # the figure dpi before and after the rasterization. Although
         # this looks ugly, I couldn't find a better solution. -JJL
-        self.figure=figure
-        self._figdpi = figure.get_dpi()
+        self.figure = figure
+        self._figdpi = figure.dpi
 
         self._bbox_inches_restore = bbox_inches_restore
 
-        self._set_current_renderer(vector_renderer)
-
-    _methods = """
-        close_group draw_image draw_markers draw_path
-        draw_path_collection draw_quad_mesh draw_tex draw_text
-        finalize flipy get_canvas_width_height get_image_magnification
-        get_texmanager get_text_width_height_descent new_gc open_group
-        option_image_nocomposite points_to_pixels strip_math
-        start_filter stop_filter draw_gouraud_triangle
-        draw_gouraud_triangles option_scale_image
-        _text2path _get_text_path_transform height width
-        """.split()
-    def _set_current_renderer(self, renderer):
-        self._renderer = renderer
-
-        for method in self._methods:
-            if hasattr(renderer, method):
-                setattr(self, method, getattr(renderer, method))
-        renderer.start_rasterizing = self.start_rasterizing
-        renderer.stop_rasterizing = self.stop_rasterizing
+        self._renderer = vector_renderer
+
+    def __getattr__(self, attr):
+        # Proxy everything that hasn't been overridden to the base
+        # renderer. Things that *are* overridden can call methods
+        # on self._renderer directly, but must not cache/store
+        # methods (because things like RendererAgg change their
+        # methods on the fly in order to optimise proxying down
+        # to the underlying C implementation).
+        return getattr(self._renderer, attr)
 
     def start_rasterizing(self):
         """
         Enter "raster" mode.  All subsequent drawing commands (until
-        stop_rasterizing is called) will be drawn with the raster
-        backend.
-
-        If start_rasterizing is called multiple times before
-        stop_rasterizing is called, this method has no effect.
+        `stop_rasterizing` is called) will be drawn with the raster backend.
         """
-
         # change the dpi of the figure temporarily.
-        self.figure.set_dpi(self.dpi)
+        self.figure.dpi = self.dpi
 
-        if self._bbox_inches_restore: # when tight bbox is used
+        self._raster_renderer = self._raster_renderer_class(
+            self._width*self.dpi, self._height*self.dpi, self.dpi)
+        self._renderer = self._raster_renderer
+
+        if self._bbox_inches_restore:  # when tight bbox is used
             r = process_figure_for_rasterizing(self.figure,
-                                               self._bbox_inches_restore)
+                                               self._bbox_inches_restore,
+                                               self._raster_renderer)
             self._bbox_inches_restore = r
 
-        if self._rasterizing == 0:
-            self._raster_renderer = self._raster_renderer_class(
-                self._width*self.dpi, self._height*self.dpi, self.dpi)
-            self._set_current_renderer(self._raster_renderer)
-        self._rasterizing += 1
-
     def stop_rasterizing(self):
         """
         Exit "raster" mode.  All of the drawing that was done since
-        the last start_rasterizing command will be copied to the
+        the last `start_rasterizing` call will be copied to the
         vector backend by calling draw_image.
-
-        If stop_rasterizing is called multiple times before
-        start_rasterizing is called, this method has no effect.
         """
-        self._rasterizing -= 1
-        if self._rasterizing == 0:
-            self._set_current_renderer(self._vector_renderer)
-
-            width, height = self._width * self.dpi, self._height * self.dpi
-            buffer, bounds = self._raster_renderer.tostring_rgba_minimized()
-            l, b, w, h = bounds
-            if w > 0 and h > 0:
-                image = frombuffer(buffer, w, h, True)
-                image.is_grayscale = False
-                gc = self._renderer.new_gc()
-                # TODO: If the mixedmode resolution differs from the figure's
-                #       dpi, the image must be scaled (dpi->_figdpi). Not all
-                #       backends support this.
-                self._renderer.draw_image(
-                    gc,
-                    float(l) / self.dpi * self._figdpi,
-                    (float(height)-b-h) / self.dpi * self._figdpi,
-                    image)
-            self._raster_renderer = None
-            self._rasterizing = False
-
-            # restore the figure dpi.
-            self.figure.set_dpi(self._figdpi)
+
+        self._renderer = self._vector_renderer
+
+        height = self._height * self.dpi
+        img = np.asarray(self._raster_renderer.buffer_rgba())
+        slice_y, slice_x = cbook._get_nonzero_slices(img[..., 3])
+        cropped_img = img[slice_y, slice_x]
+        if cropped_img.size:
+            gc = self._renderer.new_gc()
+            # TODO: If the mixedmode resolution differs from the figure's
+            #       dpi, the image must be scaled (dpi->_figdpi). Not all
+            #       backends support this.
+            self._renderer.draw_image(
+                gc,
+                slice_x.start * self._figdpi / self.dpi,
+                (height - slice_y.stop) * self._figdpi / self.dpi,
+                cropped_img[::-1])
+        self._raster_renderer = None
+
+        # restore the figure dpi.
+        self.figure.dpi = self._figdpi
 
         if self._bbox_inches_restore:  # when tight bbox is used
             r = process_figure_for_rasterizing(self.figure,
                                                self._bbox_inches_restore,
+                                               self._vector_renderer,
                                                self._figdpi)
             self._bbox_inches_restore = r
diff --git a/lib/matplotlib/backends/backend_nbagg.py b/lib/matplotlib/backends/backend_nbagg.py
index ab3f8267cb44..4d18e1e9fb88 100644
--- a/lib/matplotlib/backends/backend_nbagg.py
+++ b/lib/matplotlib/backends/backend_nbagg.py
@@ -1,97 +1,51 @@
-"""Interactive figures in the IPython notebook"""
+"""Interactive figures in the IPython notebook."""
 # Note: There is a notebook in
 # lib/matplotlib/backends/web_backend/nbagg_uat.ipynb to help verify
 # that changes made maintain expected behaviour.
 
 from base64 import b64encode
-from contextlib import contextmanager
-import json
 import io
-import os
-import six
-from uuid import uuid4 as uuid
-
-import tornado.ioloop
+import json
+import pathlib
+import uuid
 
+from ipykernel.comm import Comm
 from IPython.display import display, Javascript, HTML
-from IPython.kernel.comm import Comm
-
-from matplotlib import rcParams
-from matplotlib.figure import Figure
-from matplotlib.backends import backend_agg
-from matplotlib.backends.backend_webagg_core import (FigureManagerWebAgg,
-                                                     FigureCanvasWebAggCore,
-                                                     NavigationToolbar2WebAgg)
-from matplotlib.backend_bases import (ShowBase, NavigationToolbar2,
-                                      TimerBase, FigureCanvasBase)
-
-
-class Show(ShowBase):
-    def __call__(self, block=None):
-        from matplotlib._pylab_helpers import Gcf
-        from matplotlib import is_interactive
-
-        managers = Gcf.get_all_fig_managers()
-        if not managers:
-            return
-
-        interactive = is_interactive()
-
-        for manager in managers:
-            manager.show()
 
-            # plt.figure adds an event which puts the figure in focus
-            # in the activeQue. Disable this behaviour, as it results in
-            # figures being put as the active figure after they have been
-            # shown, even in non-interactive mode.
-            if hasattr(manager, '_cidgcf'):
-                manager.canvas.mpl_disconnect(manager._cidgcf)
-
-            if not interactive and manager in Gcf._activeQue:
-                Gcf._activeQue.remove(manager)
-
-show = Show()
-
-
-def draw_if_interactive():
-    from matplotlib import is_interactive
-    import matplotlib._pylab_helpers as pylab_helpers
-
-    if is_interactive():
-        manager = pylab_helpers.Gcf.get_active()
-        if manager is not None:
-            manager.show()
+from matplotlib import is_interactive
+from matplotlib._pylab_helpers import Gcf
+from matplotlib.backend_bases import _Backend, CloseEvent, NavigationToolbar2
+from .backend_webagg_core import (
+    FigureCanvasWebAggCore, FigureManagerWebAgg, NavigationToolbar2WebAgg)
+from .backend_webagg_core import (  # noqa: F401 # pylint: disable=W0611
+    TimerTornado, TimerAsyncio)
 
 
 def connection_info():
     """
-    Return a string showing the figure and connection status for
-    the backend. This is intended as a diagnostic tool, and not for general
-    use.
+    Return a string showing the figure and connection status for the backend.
 
+    This is intended as a diagnostic tool, and not for general use.
     """
-    from matplotlib._pylab_helpers import Gcf
-    result = []
-    for manager in Gcf.get_all_fig_managers():
-        fig = manager.canvas.figure
-        result.append('{} - {}'.format((fig.get_label() or
-                                        "Figure {0}".format(manager.num)),
-                                       manager.web_sockets))
-    result.append('Figures pending show: {}'.format(len(Gcf._activeQue)))
+    result = [
+        '{fig} - {socket}'.format(
+            fig=(manager.canvas.figure.get_label()
+                 or f"Figure {manager.num}"),
+            socket=manager.web_sockets)
+        for manager in Gcf.get_all_fig_managers()
+    ]
+    if not is_interactive():
+        result.append(f'Figures pending show: {len(Gcf.figs)}')
     return '\n'.join(result)
 
 
-# Note: Version 3.2 and 4.x icons
-# http://fontawesome.io/3.2.1/icons/
-# http://fontawesome.io/
-# the `fa fa-xxx` part targets font-awesome 4, (IPython 3.x)
-# the icon-xxx targets font awesome 3.21 (IPython 2.x)
-_FONT_AWESOME_CLASSES = {
-    'home': 'fa fa-home icon-home',
-    'back': 'fa fa-arrow-left icon-arrow-left',
-    'forward': 'fa fa-arrow-right icon-arrow-right',
-    'zoom_to_rect': 'fa fa-square-o icon-check-empty',
-    'move': 'fa fa-arrows icon-move',
+_FONT_AWESOME_CLASSES = {  # font-awesome 4 names
+    'home': 'fa fa-home',
+    'back': 'fa fa-arrow-left',
+    'forward': 'fa fa-arrow-right',
+    'zoom_to_rect': 'fa fa-square-o',
+    'move': 'fa fa-arrows',
+    'download': 'fa fa-floppy-o',
     None: None
 }
 
@@ -102,16 +56,32 @@ class NavigationIPy(NavigationToolbar2WebAgg):
     toolitems = [(text, tooltip_text,
                   _FONT_AWESOME_CLASSES[image_file], name_of_method)
                  for text, tooltip_text, image_file, name_of_method
-                 in NavigationToolbar2.toolitems
+                 in (NavigationToolbar2.toolitems +
+                     (('Download', 'Download plot', 'download', 'download'),))
                  if image_file in _FONT_AWESOME_CLASSES]
 
 
 class FigureManagerNbAgg(FigureManagerWebAgg):
-    ToolbarCls = NavigationIPy
+    _toolbar2_class = ToolbarCls = NavigationIPy
 
     def __init__(self, canvas, num):
         self._shown = False
-        FigureManagerWebAgg.__init__(self, canvas, num)
+        super().__init__(canvas, num)
+
+    @classmethod
+    def create_with_canvas(cls, canvas_class, figure, num):
+        canvas = canvas_class(figure)
+        manager = cls(canvas, num)
+        if is_interactive():
+            manager.show()
+            canvas.draw_idle()
+
+        def destroy(event):
+            canvas.mpl_disconnect(cid)
+            Gcf.destroy(manager)
+
+        cid = canvas.mpl_connect('close_event', destroy)
+        return manager
 
     def display_js(self):
         # XXX How to do this just once? It has to deal with multiple
@@ -126,6 +96,15 @@ def show(self):
         else:
             self.canvas.draw_idle()
         self._shown = True
+        # plt.figure adds an event which makes the figure in focus the active
+        # one. Disable this behaviour, as it results in figures being put as
+        # the active figure after they have been shown, even in non-interactive
+        # mode.
+        if hasattr(self, '_cidgcf'):
+            self.canvas.mpl_disconnect(self._cidgcf)
+        if not is_interactive():
+            from matplotlib._pylab_helpers import Gcf
+            Gcf.figs.pop(self.num, None)
 
     def reshow(self):
         """
@@ -145,12 +124,10 @@ def get_javascript(cls, stream=None):
             output = io.StringIO()
         else:
             output = stream
-        super(FigureManagerNbAgg, cls).get_javascript(stream=output)
-        with io.open(os.path.join(
-                os.path.dirname(__file__),
-                "web_backend",
-                "nbagg_mpl.js"), encoding='utf8') as fd:
-            output.write(fd.read())
+        super().get_javascript(stream=output)
+        output.write((pathlib.Path(__file__).parent
+                      / "web_backend/js/nbagg_mpl.js")
+                     .read_text(encoding="utf-8"))
         if stream is None:
             return output.getvalue()
 
@@ -161,74 +138,29 @@ def _create_comm(self):
 
     def destroy(self):
         self._send_event('close')
-        for comm in self.web_sockets.copy():
+        # need to copy comms as callbacks will modify this list
+        for comm in list(self.web_sockets):
             comm.on_close()
+        self.clearup_closed()
 
     def clearup_closed(self):
         """Clear up any closed Comms."""
-        self.web_sockets = set([socket for socket in self.web_sockets
-                                if not socket.is_open()])
-
-
-class TimerTornado(TimerBase):
-    def _timer_start(self):
-        import datetime
-        self._timer_stop()
-        if self._single:
-            ioloop = tornado.ioloop.IOLoop.instance()
-            self._timer = ioloop.add_timeout(
-                datetime.timedelta(milliseconds=self.interval),
-                self._on_timer)
-        else:
-            self._timer = tornado.ioloop.PeriodicCallback(
-                self._on_timer,
-                self.interval)
-        self._timer.start()
+        self.web_sockets = {socket for socket in self.web_sockets
+                            if socket.is_open()}
 
-    def _timer_stop(self):
-        if self._timer is not None:
-            self._timer.stop()
-            self._timer = None
+        if len(self.web_sockets) == 0:
+            CloseEvent("close_event", self.canvas)._process()
 
-    def _timer_set_interval(self):
-        # Only stop and restart it if the timer has already been started
-        if self._timer is not None:
-            self._timer_stop()
-            self._timer_start()
+    def remove_comm(self, comm_id):
+        self.web_sockets = {socket for socket in self.web_sockets
+                            if socket.comm.comm_id != comm_id}
 
 
 class FigureCanvasNbAgg(FigureCanvasWebAggCore):
-    def new_timer(self, *args, **kwargs):
-        return TimerTornado(*args, **kwargs)
-
-    def start_event_loop(self, timeout):
-        FigureCanvasBase.start_event_loop_default(self, timeout)
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
+    manager_class = FigureManagerNbAgg
 
 
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasNbAgg(figure)
-    if rcParams['nbagg.transparent']:
-        figure.patch.set_alpha(0)
-    manager = FigureManagerNbAgg(canvas, num)
-    return manager
-
-
-class CommSocket(object):
+class CommSocket:
     """
     Manages the Comm connection between IPython and the browser (client).
 
@@ -241,40 +173,53 @@ class CommSocket(object):
     def __init__(self, manager):
         self.supports_binary = None
         self.manager = manager
-        self.uuid = str(uuid())
+        self.uuid = str(uuid.uuid4())
         # Publish an output area with a unique ID. The javascript can then
         # hook into this area.
         display(HTML("<div id=%r></div>" % self.uuid))
         try:
             self.comm = Comm('matplotlib', data={'id': self.uuid})
-        except AttributeError:
+        except AttributeError as err:
             raise RuntimeError('Unable to create an IPython notebook Comm '
-                               'instance. Are you in the IPython notebook?')
+                               'instance. Are you in the IPython '
+                               'notebook?') from err
         self.comm.on_msg(self.on_message)
 
         manager = self.manager
-        self.comm.on_close(lambda close_message: manager.clearup_closed())
+        self._ext_close = False
+
+        def _on_close(close_message):
+            self._ext_close = True
+            manager.remove_comm(close_message['content']['comm_id'])
+            manager.clearup_closed()
+
+        self.comm.on_close(_on_close)
 
     def is_open(self):
-        return not self.comm._closed
+        return not (self._ext_close or self.comm._closed)
 
     def on_close(self):
         # When the socket is closed, deregister the websocket with
         # the FigureManager.
-        self.comm.close()
-        self.manager.clearup_closed()
+        if self.is_open():
+            try:
+                self.comm.close()
+            except KeyError:
+                # apparently already cleaned it up?
+                pass
 
     def send_json(self, content):
         self.comm.send({'data': json.dumps(content)})
 
     def send_binary(self, blob):
-        # The comm is ascii, so we always send the image in base64
-        # encoded data URL form.
-        data = b64encode(blob)
-        if six.PY3:
-            data = data.decode('ascii')
-        data_uri = "data:image/png;base64,{0}".format(data)
-        self.comm.send({'data': data_uri})
+        if self.supports_binary:
+            self.comm.send({'blob': 'image/png'}, buffers=[blob])
+        else:
+            # The comm is ASCII, so we send the image in base64 encoded data
+            # URL form.
+            data = b64encode(blob).decode('ascii')
+            data_uri = f"data:image/png;base64,{data}"
+            self.comm.send({'data': data_uri})
 
     def on_message(self, message):
         # The 'supports_binary' message is relevant to the
@@ -285,7 +230,14 @@ def on_message(self, message):
         message = json.loads(message['content']['data'])
         if message['type'] == 'closing':
             self.on_close()
+            self.manager.clearup_closed()
         elif message['type'] == 'supports_binary':
             self.supports_binary = message['value']
         else:
             self.manager.handle_json(message)
+
+
+@_Backend.export
+class _BackendNbAgg(_Backend):
+    FigureCanvas = FigureCanvasNbAgg
+    FigureManager = FigureManagerNbAgg
diff --git a/lib/matplotlib/backends/backend_pdf.py b/lib/matplotlib/backends/backend_pdf.py
index 085c0e7ec665..6d6bea585ff3 100644
--- a/lib/matplotlib/backends/backend_pdf.py
+++ b/lib/matplotlib/backends/backend_pdf.py
@@ -1,54 +1,48 @@
-# -*- coding: iso-8859-1 -*-
-
-"""
-A PDF matplotlib backend
-Author: Jouni K Sepp�nen <jks@iki.fi>
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+A PDF Matplotlib backend.
 
-import six
-from six.moves import map
+Author: Jouni K Seppänen <jks@iki.fi> and others.
+"""
 
 import codecs
+from datetime import timezone
+from datetime import datetime
+from enum import Enum
+from functools import total_ordering
+from io import BytesIO
+import itertools
+import logging
+import math
 import os
-import re
+import string
+import struct
 import sys
 import time
+import types
 import warnings
 import zlib
 
 import numpy as np
-from six import unichr
-from six import BytesIO
+from PIL import Image
 
-from datetime import datetime
-from math import ceil, cos, floor, pi, sin
-try:
-    set
-except NameError:
-    from sets import Set as set
-
-import matplotlib
-from matplotlib import __version__, rcParams
+import matplotlib as mpl
+from matplotlib import _api, _text_helpers, _type1font, cbook, dviread
 from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-    FigureManagerBase, FigureCanvasBase
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, GraphicsContextBase,
+    RendererBase)
 from matplotlib.backends.backend_mixed import MixedModeRenderer
-from matplotlib.cbook import Bunch, is_string_like, \
-    get_realpath_and_stat, is_writable_file_like, maxdict
-from matplotlib.mlab import quad2cubic
 from matplotlib.figure import Figure
-from matplotlib.font_manager import findfont, is_opentype_cff_font
-from matplotlib.afm import AFM
-import matplotlib.type1font as type1font
-import matplotlib.dviread as dviread
-from matplotlib.ft2font import FT2Font, FIXED_WIDTH, ITALIC, LOAD_NO_SCALE, \
-    LOAD_NO_HINTING, KERNING_UNFITTED
-from matplotlib.mathtext import MathTextParser
+from matplotlib.font_manager import get_font, fontManager as _fontManager
+from matplotlib._afm import AFM
+from matplotlib.ft2font import FT2Font, FaceFlags, Kerning, LoadFlags, StyleFlags
 from matplotlib.transforms import Affine2D, BboxBase
 from matplotlib.path import Path
-from matplotlib import ttconv
+from matplotlib.dates import UTC
+from matplotlib import _path
+from . import _backend_pdf_ps
+
+_log = logging.getLogger(__name__)
 
 # Overview
 #
@@ -92,18 +86,19 @@
 
 # TODOs:
 #
-# * the alpha channel of images
-# * image compression could be improved (PDF supports png-like compression)
-# * encoding of fonts, including mathtext fonts and unicode support
+# * encoding of fonts, including mathtext fonts and Unicode support
 # * TTF support has lots of small TODOs, e.g., how do you know if a font
 #   is serif/sans-serif, or symbolic/non-symbolic?
-# * draw_markers, draw_line_collection, etc.
+# * draw_quad_mesh
+
 
+def _fill(strings, linelen=75):
+    """
+    Make one string from sequence of strings, with whitespace in between.
 
-def fill(strings, linelen=75):
-    """Make one string from sequence of strings, with whitespace
-    in between. The whitespace is chosen to form lines of at most
-    linelen characters, if possible."""
+    The whitespace is chosen to form lines of at most *linelen* characters,
+    if possible.
+    """
     currpos = 0
     lasti = 0
     result = []
@@ -118,24 +113,187 @@ def fill(strings, linelen=75):
     result.append(b' '.join(strings[lasti:]))
     return b'\n'.join(result)
 
-# PDF strings are supposed to be able to include any eight-bit data,
-# except that unbalanced parens and backslashes must be escaped by a
-# backslash. However, sf bug #2708559 shows that the carriage return
-# character may get read as a newline; these characters correspond to
-# \gamma and \Omega in TeX's math font encoding. Escaping them fixes
-# the bug.
-_string_escape_regex = re.compile(br'([\\()\r\n])')
 
+def _create_pdf_info_dict(backend, metadata):
+    """
+    Create a PDF infoDict based on user-supplied metadata.
+
+    A default ``Creator``, ``Producer``, and ``CreationDate`` are added, though
+    the user metadata may override it. The date may be the current time, or a
+    time set by the ``SOURCE_DATE_EPOCH`` environment variable.
+
+    Metadata is verified to have the correct keys and their expected types. Any
+    unknown keys/types will raise a warning.
+
+    Parameters
+    ----------
+    backend : str
+        The name of the backend to use in the Producer value.
+
+    metadata : dict[str, Union[str, datetime, Name]]
+        A dictionary of metadata supplied by the user with information
+        following the PDF specification, also defined in
+        `~.backend_pdf.PdfPages` below.
+
+        If any value is *None*, then the key will be removed. This can be used
+        to remove any pre-defined values.
+
+    Returns
+    -------
+    dict[str, Union[str, datetime, Name]]
+        A validated dictionary of metadata.
+    """
+
+    # get source date from SOURCE_DATE_EPOCH, if set
+    # See https://reproducible-builds.org/specs/source-date-epoch/
+    source_date_epoch = os.getenv("SOURCE_DATE_EPOCH")
+    if source_date_epoch:
+        source_date = datetime.fromtimestamp(int(source_date_epoch), timezone.utc)
+        source_date = source_date.replace(tzinfo=UTC)
+    else:
+        source_date = datetime.today()
+
+    info = {
+        'Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        'Producer': f'Matplotlib {backend} backend v{mpl.__version__}',
+        'CreationDate': source_date,
+        **metadata
+    }
+    info = {k: v for (k, v) in info.items() if v is not None}
+
+    def is_string_like(x):
+        return isinstance(x, str)
+    is_string_like.text_for_warning = "an instance of str"
+
+    def is_date(x):
+        return isinstance(x, datetime)
+    is_date.text_for_warning = "an instance of datetime.datetime"
+
+    def check_trapped(x):
+        if isinstance(x, Name):
+            return x.name in (b'True', b'False', b'Unknown')
+        else:
+            return x in ('True', 'False', 'Unknown')
+    check_trapped.text_for_warning = 'one of {"True", "False", "Unknown"}'
+
+    keywords = {
+        'Title': is_string_like,
+        'Author': is_string_like,
+        'Subject': is_string_like,
+        'Keywords': is_string_like,
+        'Creator': is_string_like,
+        'Producer': is_string_like,
+        'CreationDate': is_date,
+        'ModDate': is_date,
+        'Trapped': check_trapped,
+    }
+    for k in info:
+        if k not in keywords:
+            _api.warn_external(f'Unknown infodict keyword: {k!r}. '
+                               f'Must be one of {set(keywords)!r}.')
+        elif not keywords[k](info[k]):
+            _api.warn_external(f'Bad value for infodict keyword {k}. '
+                               f'Got {info[k]!r} which is not '
+                               f'{keywords[k].text_for_warning}.')
+    if 'Trapped' in info:
+        info['Trapped'] = Name(info['Trapped'])
+
+    return info
+
+
+def _datetime_to_pdf(d):
+    """
+    Convert a datetime to a PDF string representing it.
+
+    Used for PDF and PGF.
+    """
+    r = d.strftime('D:%Y%m%d%H%M%S')
+    z = d.utcoffset()
+    if z is not None:
+        z = z.seconds
+    else:
+        if time.daylight:
+            z = time.altzone
+        else:
+            z = time.timezone
+    if z == 0:
+        r += 'Z'
+    elif z < 0:
+        r += "+%02d'%02d'" % ((-z) // 3600, (-z) % 3600)
+    else:
+        r += "-%02d'%02d'" % (z // 3600, z % 3600)
+    return r
+
+
+def _calculate_quad_point_coordinates(x, y, width, height, angle=0):
+    """
+    Calculate the coordinates of rectangle when rotated by angle around x, y
+    """
+
+    angle = math.radians(-angle)
+    sin_angle = math.sin(angle)
+    cos_angle = math.cos(angle)
+    a = x + height * sin_angle
+    b = y + height * cos_angle
+    c = x + width * cos_angle + height * sin_angle
+    d = y - width * sin_angle + height * cos_angle
+    e = x + width * cos_angle
+    f = y - width * sin_angle
+    return ((x, y), (e, f), (c, d), (a, b))
+
+
+def _get_coordinates_of_block(x, y, width, height, angle=0):
+    """
+    Get the coordinates of rotated rectangle and rectangle that covers the
+    rotated rectangle.
+    """
+
+    vertices = _calculate_quad_point_coordinates(x, y, width,
+                                                 height, angle)
 
-def _string_escape(match):
-    m = match.group(0)
-    if m in br'\()':
-        return b'\\' + m
-    elif m == b'\n':
-        return br'\n'
-    elif m == b'\r':
-        return br'\r'
-    assert False
+    # Find min and max values for rectangle
+    # adjust so that QuadPoints is inside Rect
+    # PDF docs says that QuadPoints should be ignored if any point lies
+    # outside Rect, but for Acrobat it is enough that QuadPoints is on the
+    # border of Rect.
+
+    pad = 0.00001 if angle % 90 else 0
+    min_x = min(v[0] for v in vertices) - pad
+    min_y = min(v[1] for v in vertices) - pad
+    max_x = max(v[0] for v in vertices) + pad
+    max_y = max(v[1] for v in vertices) + pad
+    return (tuple(itertools.chain.from_iterable(vertices)),
+            (min_x, min_y, max_x, max_y))
+
+
+def _get_link_annotation(gc, x, y, width, height, angle=0):
+    """
+    Create a link annotation object for embedding URLs.
+    """
+    quadpoints, rect = _get_coordinates_of_block(x, y, width, height, angle)
+    link_annotation = {
+        'Type': Name('Annot'),
+        'Subtype': Name('Link'),
+        'Rect': rect,
+        'Border': [0, 0, 0],
+        'A': {
+            'S': Name('URI'),
+            'URI': gc.get_url(),
+        },
+    }
+    if angle % 90:
+        # Add QuadPoints
+        link_annotation['QuadPoints'] = quadpoints
+    return link_annotation
+
+
+# PDF strings are supposed to be able to include any eight-bit data, except
+# that unbalanced parens and backslashes must be escaped by a backslash.
+# However, sf bug #2708559 shows that the carriage return character may get
+# read as a newline; these characters correspond to \gamma and \Omega in TeX's
+# math font encoding. Escaping them fixes the bug.
+_str_escapes = str.maketrans({
+    '\\': '\\\\', '(': '\\(', ')': '\\)', '\n': '\\n', '\r': '\\r'})
 
 
 def pdfRepr(obj):
@@ -151,7 +309,7 @@ def pdfRepr(obj):
     elif isinstance(obj, (float, np.floating)):
         if not np.isfinite(obj):
             raise ValueError("Can only output finite numbers in PDF")
-        r = ("%.10f" % obj).encode('ascii')
+        r = b"%.10f" % obj
         return r.rstrip(b'0').rstrip(b'.')
 
     # Booleans. Needs to be tested before integers since
@@ -160,43 +318,39 @@ def pdfRepr(obj):
         return [b'false', b'true'][obj]
 
     # Integers are written as such.
-    elif isinstance(obj, (six.integer_types, np.integer)):
-        return ("%d" % obj).encode('ascii')
+    elif isinstance(obj, (int, np.integer)):
+        return b"%d" % obj
 
-    # Unicode strings are encoded in UTF-16BE with byte-order mark.
-    elif isinstance(obj, six.text_type):
-        try:
-            # But maybe it's really ASCII?
-            s = obj.encode('ASCII')
-            return pdfRepr(s)
-        except UnicodeEncodeError:
-            s = codecs.BOM_UTF16_BE + obj.encode('UTF-16BE')
-            return pdfRepr(s)
+    # Non-ASCII Unicode strings are encoded in UTF-16BE with byte-order mark.
+    elif isinstance(obj, str):
+        return pdfRepr(obj.encode('ascii') if obj.isascii()
+                       else codecs.BOM_UTF16_BE + obj.encode('UTF-16BE'))
 
     # Strings are written in parentheses, with backslashes and parens
     # escaped. Actually balanced parens are allowed, but it is
     # simpler to escape them all. TODO: cut long strings into lines;
     # I believe there is some maximum line length in PDF.
+    # Despite the extra decode/encode, translate is faster than regex.
     elif isinstance(obj, bytes):
-        return b'(' + _string_escape_regex.sub(_string_escape, obj) + b')'
+        return (
+            b'(' +
+            obj.decode('latin-1').translate(_str_escapes).encode('latin-1')
+            + b')')
 
     # Dictionaries. The keys must be PDF names, so if we find strings
     # there, we make Name objects from them. The values may be
     # anything, so the caller must ensure that PDF names are
     # represented as Name objects.
     elif isinstance(obj, dict):
-        r = [b"<<"]
-        r.extend([Name(key).pdfRepr() + b" " + pdfRepr(val)
-                  for key, val in six.iteritems(obj)])
-        r.append(b">>")
-        return fill(r)
+        return _fill([
+            b"<<",
+            *[Name(k).pdfRepr() + b" " + pdfRepr(v) for k, v in obj.items()],
+            b">>",
+        ])
 
     # Lists.
     elif isinstance(obj, (list, tuple)):
-        r = [b"["]
-        r.extend([pdfRepr(val) for val in obj])
-        r.append(b"]")
-        return fill(r)
+        return _fill([b"[", *[pdfRepr(val) for val in obj], b"]"])
 
     # The null keyword.
     elif obj is None:
@@ -204,30 +358,36 @@ def pdfRepr(obj):
 
     # A date.
     elif isinstance(obj, datetime):
-        r = obj.strftime('D:%Y%m%d%H%M%S')
-        if time.daylight:
-            z = time.altzone
-        else:
-            z = time.timezone
-        if z == 0:
-            r += 'Z'
-        elif z < 0:
-            r += "+%02d'%02d'" % ((-z) // 3600, (-z) % 3600)
-        else:
-            r += "-%02d'%02d'" % (z // 3600, z % 3600)
-        return pdfRepr(r)
+        return pdfRepr(_datetime_to_pdf(obj))
 
     # A bounding box
     elif isinstance(obj, BboxBase):
-        return fill([pdfRepr(val) for val in obj.bounds])
+        return _fill([pdfRepr(val) for val in obj.bounds])
 
     else:
-        msg = "Don't know a PDF representation for %s objects." % type(obj)
-        raise TypeError(msg)
+        raise TypeError(f"Don't know a PDF representation for {type(obj)} "
+                        "objects")
+
+
+def _font_supports_glyph(fonttype, glyph):
+    """
+    Returns True if the font is able to provide codepoint *glyph* in a PDF.
+
+    For a Type 3 font, this method returns True only for single-byte
+    characters. For Type 42 fonts this method return True if the character is
+    from the Basic Multilingual Plane.
+    """
+    if fonttype == 3:
+        return glyph <= 255
+    if fonttype == 42:
+        return glyph <= 65535
+    raise NotImplementedError()
+
 
+class Reference:
+    """
+    PDF reference object.
 
-class Reference(object):
-    """PDF reference object.
     Use PdfFile.reserveObject() to create References.
     """
 
@@ -238,19 +398,21 @@ def __repr__(self):
         return "<Reference %d>" % self.id
 
     def pdfRepr(self):
-        return ("%d 0 R" % self.id).encode('ascii')
+        return b"%d 0 R" % self.id
 
     def write(self, contents, file):
         write = file.write
-        write(("%d 0 obj\n" % self.id).encode('ascii'))
+        write(b"%d 0 obj\n" % self.id)
         write(pdfRepr(contents))
         write(b"\nendobj\n")
 
 
-class Name(object):
+@total_ordering
+class Name:
     """PDF name object."""
     __slots__ = ('name',)
-    _regex = re.compile(r'[^!-~]')
+    _hexify = {c: '#%02x' % c
+               for c in {*range(256)} - {*range(ord('!'), ord('~') + 1)}}
 
     def __init__(self, name):
         if isinstance(name, Name):
@@ -258,89 +420,129 @@ def __init__(self, name):
         else:
             if isinstance(name, bytes):
                 name = name.decode('ascii')
-            self.name = self._regex.sub(Name.hexify, name).encode('ascii')
+            self.name = name.translate(self._hexify).encode('ascii')
 
     def __repr__(self):
         return "<Name %s>" % self.name
 
     def __str__(self):
-        return '/' + six.text_type(self.name)
+        return '/' + self.name.decode('ascii')
 
-    @staticmethod
-    def hexify(match):
-        return '#%02x' % ord(match.group())
+    def __eq__(self, other):
+        return isinstance(other, Name) and self.name == other.name
+
+    def __lt__(self, other):
+        return isinstance(other, Name) and self.name < other.name
+
+    def __hash__(self):
+        return hash(self.name)
 
     def pdfRepr(self):
         return b'/' + self.name
 
 
-class Operator(object):
-    """PDF operator object."""
-    __slots__ = ('op',)
-
-    def __init__(self, op):
-        self.op = op
+class Verbatim:
+    """Store verbatim PDF command content for later inclusion in the stream."""
+    def __init__(self, x):
+        self._x = x
 
-    def __repr__(self):
-        return '<Operator %s>' % self.op
+    def pdfRepr(self):
+        return self._x
+
+
+class Op(Enum):
+    """PDF operators (not an exhaustive list)."""
+
+    close_fill_stroke = b'b'
+    fill_stroke = b'B'
+    fill = b'f'
+    closepath = b'h'
+    close_stroke = b's'
+    stroke = b'S'
+    endpath = b'n'
+    begin_text = b'BT'
+    end_text = b'ET'
+    curveto = b'c'
+    rectangle = b're'
+    lineto = b'l'
+    moveto = b'm'
+    concat_matrix = b'cm'
+    use_xobject = b'Do'
+    setgray_stroke = b'G'
+    setgray_nonstroke = b'g'
+    setrgb_stroke = b'RG'
+    setrgb_nonstroke = b'rg'
+    setcolorspace_stroke = b'CS'
+    setcolorspace_nonstroke = b'cs'
+    setcolor_stroke = b'SCN'
+    setcolor_nonstroke = b'scn'
+    setdash = b'd'
+    setlinejoin = b'j'
+    setlinecap = b'J'
+    setgstate = b'gs'
+    gsave = b'q'
+    grestore = b'Q'
+    textpos = b'Td'
+    selectfont = b'Tf'
+    textmatrix = b'Tm'
+    show = b'Tj'
+    showkern = b'TJ'
+    setlinewidth = b'w'
+    clip = b'W'
+    shading = b'sh'
 
     def pdfRepr(self):
-        return self.op
-
-# PDF operators (not an exhaustive list)
-_pdfops = dict(
-    close_fill_stroke=b'b', fill_stroke=b'B', fill=b'f', closepath=b'h',
-    close_stroke=b's', stroke=b'S', endpath=b'n', begin_text=b'BT',
-    end_text=b'ET', curveto=b'c', rectangle=b're', lineto=b'l', moveto=b'm',
-    concat_matrix=b'cm', use_xobject=b'Do', setgray_stroke=b'G',
-    setgray_nonstroke=b'g', setrgb_stroke=b'RG', setrgb_nonstroke=b'rg',
-    setcolorspace_stroke=b'CS', setcolorspace_nonstroke=b'cs',
-    setcolor_stroke=b'SCN', setcolor_nonstroke=b'scn', setdash=b'd',
-    setlinejoin=b'j', setlinecap=b'J', setgstate=b'gs', gsave=b'q',
-    grestore=b'Q', textpos=b'Td', selectfont=b'Tf', textmatrix=b'Tm',
-    show=b'Tj', showkern=b'TJ', setlinewidth=b'w', clip=b'W', shading=b'sh')
-
-Op = Bunch(**dict([(name, Operator(value))
-                   for name, value in six.iteritems(_pdfops)]))
-
-
-def _paint_path(closep, fillp, strokep):
-    """Return the PDF operator to paint a path in the following way:
-    closep:  close the path before painting
-    fillp:   fill the path with the fill color
-    strokep: stroke the outline of the path with the line color"""
-    if strokep:
-        if closep:
-            if fillp:
-                return Op.close_fill_stroke
+        return self.value
+
+    @classmethod
+    def paint_path(cls, fill, stroke):
+        """
+        Return the PDF operator to paint a path.
+
+        Parameters
+        ----------
+        fill : bool
+            Fill the path with the fill color.
+        stroke : bool
+            Stroke the outline of the path with the line color.
+        """
+        if stroke:
+            if fill:
+                return cls.fill_stroke
             else:
-                return Op.close_stroke
+                return cls.stroke
         else:
-            if fillp:
-                return Op.fill_stroke
+            if fill:
+                return cls.fill
             else:
-                return Op.stroke
-    else:
-        if fillp:
-            return Op.fill
-        else:
-            return Op.endpath
-Op.paint_path = _paint_path
+                return cls.endpath
 
 
-class Stream(object):
-    """PDF stream object.
+class Stream:
+    """
+    PDF stream object.
 
     This has no pdfRepr method. Instead, call begin(), then output the
     contents of the stream by calling write(), and finally call end().
     """
     __slots__ = ('id', 'len', 'pdfFile', 'file', 'compressobj', 'extra', 'pos')
 
-    def __init__(self, id, len, file, extra=None):
-        """id: object id of stream; len: an unused Reference object for the
-        length of the stream, or None (to use a memory buffer); file:
-        a PdfFile; extra: a dictionary of extra key-value pairs to
-        include in the stream header """
+    def __init__(self, id, len, file, extra=None, png=None):
+        """
+        Parameters
+        ----------
+        id : int
+            Object id of the stream.
+        len : Reference or None
+            An unused Reference object for the length of the stream;
+            None means to use a memory buffer so the length can be inlined.
+        file : PdfFile
+            The underlying object to write the stream to.
+        extra : dict from Name to anything, or None
+            Extra key-value pairs to include in the stream header.
+        png : dict or None
+            If the data is already png encoded, the decode parameters.
+        """
         self.id = id            # object id
         self.len = len          # id of length object
         self.pdfFile = file
@@ -349,11 +551,15 @@ def __init__(self, id, len, file, extra=None):
         if extra is None:
             self.extra = dict()
         else:
-            self.extra = extra
+            self.extra = extra.copy()
+        if png is not None:
+            self.extra.update({'Filter':      Name('FlateDecode'),
+                               'DecodeParms': png})
 
         self.pdfFile.recordXref(self.id)
-        if rcParams['pdf.compression']:
-            self.compressobj = zlib.compressobj(rcParams['pdf.compression'])
+        if mpl.rcParams['pdf.compression'] and not png:
+            self.compressobj = zlib.compressobj(
+                mpl.rcParams['pdf.compression'])
         if self.len is None:
             self.file = BytesIO()
         else:
@@ -362,10 +568,10 @@ def __init__(self, id, len, file, extra=None):
 
     def _writeHeader(self):
         write = self.file.write
-        write(("%d 0 obj\n" % self.id).encode('ascii'))
+        write(b"%d 0 obj\n" % self.id)
         dict = self.extra
         dict['Length'] = self.len
-        if rcParams['pdf.compression']:
+        if mpl.rcParams['pdf.compression']:
             dict['Filter'] = Name('FlateDecode')
 
         write(pdfRepr(dict))
@@ -405,31 +611,90 @@ def _flush(self):
             self.compressobj = None
 
 
-class PdfFile(object):
+def _get_pdf_charprocs(font_path, glyph_ids):
+    font = get_font(font_path, hinting_factor=1)
+    conv = 1000 / font.units_per_EM  # Conversion to PS units (1/1000's).
+    procs = {}
+    for glyph_id in glyph_ids:
+        g = font.load_glyph(glyph_id, LoadFlags.NO_SCALE)
+        # NOTE: We should be using round(), but instead use
+        # "(x+.5).astype(int)" to keep backcompat with the old ttconv code
+        # (this is different for negative x's).
+        d1 = (np.array([g.horiAdvance, 0, *g.bbox]) * conv + .5).astype(int)
+        v, c = font.get_path()
+        v = (v * 64).astype(int)  # Back to TrueType's internal units (1/64's).
+        # Backcompat with old ttconv code: control points between two quads are
+        # omitted if they are exactly at the midpoint between the control of
+        # the quad before and the quad after, but ttconv used to interpolate
+        # *after* conversion to PS units, causing floating point errors.  Here
+        # we reproduce ttconv's logic, detecting these "implicit" points and
+        # re-interpolating them.  Note that occasionally (e.g. with DejaVu Sans
+        # glyph "0") a point detected as "implicit" is actually explicit, and
+        # will thus be shifted by 1.
+        quads, = np.nonzero(c == 3)
+        quads_on = quads[1::2]
+        quads_mid_on = np.array(
+            sorted({*quads_on} & {*(quads - 1)} & {*(quads + 1)}), int)
+        implicit = quads_mid_on[
+            (v[quads_mid_on]  # As above, use astype(int), not // division
+             == ((v[quads_mid_on - 1] + v[quads_mid_on + 1]) / 2).astype(int))
+            .all(axis=1)]
+        if (font.postscript_name, glyph_id) in [
+                ("DejaVuSerif-Italic", 77),  # j
+                ("DejaVuSerif-Italic", 135),  # \AA
+        ]:
+            v[:, 0] -= 1  # Hard-coded backcompat (FreeType shifts glyph by 1).
+        v = (v * conv + .5).astype(int)  # As above re: truncation vs rounding.
+        v[implicit] = ((  # Fix implicit points; again, truncate.
+            (v[implicit - 1] + v[implicit + 1]) / 2).astype(int))
+        procs[font.get_glyph_name(glyph_id)] = (
+            " ".join(map(str, d1)).encode("ascii") + b" d1\n"
+            + _path.convert_to_string(
+                Path(v, c), None, None, False, None, -1,
+                # no code for quad Beziers triggers auto-conversion to cubics.
+                [b"m", b"l", b"", b"c", b"h"], True)
+            + b"f")
+    return procs
+
+
+class PdfFile:
     """PDF file object."""
 
-    def __init__(self, filename):
-        self.nextObject = 1     # next free object id
+    def __init__(self, filename, metadata=None):
+        """
+        Parameters
+        ----------
+        filename : str or path-like or file-like
+            Output target; if a string, a file will be opened for writing.
+
+        metadata : dict from strings to strings and dates
+            Information dictionary object (see PDF reference section 10.2.1
+            'Document Information Dictionary'), e.g.:
+            ``{'Creator': 'My software', 'Author': 'Me', 'Title': 'Awesome'}``.
+
+            The standard keys are 'Title', 'Author', 'Subject', 'Keywords',
+            'Creator', 'Producer', 'CreationDate', 'ModDate', and
+            'Trapped'. Values have been predefined for 'Creator', 'Producer'
+            and 'CreationDate'. They can be removed by setting them to `None`.
+        """
+        super().__init__()
+
+        self._object_seq = itertools.count(1)  # consumed by reserveObject
         self.xrefTable = [[0, 65535, 'the zero object']]
         self.passed_in_file_object = False
         self.original_file_like = None
         self.tell_base = 0
-        if is_string_like(filename):
-            fh = open(filename, 'wb')
-        elif is_writable_file_like(filename):
+        fh, opened = cbook.to_filehandle(filename, "wb", return_opened=True)
+        if not opened:
             try:
                 self.tell_base = filename.tell()
-            except IOError:
+            except OSError:
                 fh = BytesIO()
                 self.original_file_like = filename
             else:
                 fh = filename
                 self.passed_in_file_object = True
-        else:
-            raise ValueError("filename must be a path or a file-like object")
 
-        self._core14fontdir = os.path.join(
-            rcParams['datapath'], 'fonts', 'pdfcorefonts')
         self.fh = fh
         self.currentstream = None  # stream object to write to, if any
         fh.write(b"%PDF-1.4\n")    # 1.4 is the first version to have alpha
@@ -442,7 +707,7 @@ def __init__(self, filename):
         self.pagesObject = self.reserveObject('pages')
         self.pageList = []
         self.fontObject = self.reserveObject('fonts')
-        self.alphaStateObject = self.reserveObject('extended graphics states')
+        self._extGStateObject = self.reserveObject('extended graphics states')
         self.hatchObject = self.reserveObject('tiling patterns')
         self.gouraudObject = self.reserveObject('Gouraud triangles')
         self.XObjectObject = self.reserveObject('external objects')
@@ -452,86 +717,136 @@ def __init__(self, filename):
                 'Pages': self.pagesObject}
         self.writeObject(self.rootObject, root)
 
-        revision = ''
-        self.infoDict = {
-            'Creator': 'matplotlib %s, http://matplotlib.org' % __version__,
-            'Producer': 'matplotlib pdf backend%s' % revision,
-            'CreationDate': datetime.today()
-            }
+        self.infoDict = _create_pdf_info_dict('pdf', metadata or {})
 
-        self.fontNames = {}     # maps filenames to internal font names
-        self.nextFont = 1       # next free internal font name
-        self.dviFontInfo = {}   # information on dvi fonts
-        self.type1Descriptors = {}  # differently encoded Type-1 fonts may
-                                    # share the same descriptor
-        self.used_characters = {}
+        self._internal_font_seq = (Name(f'F{i}') for i in itertools.count(1))
+        self._fontNames = {}     # maps filenames to internal font names
+        self._dviFontInfo = {}   # maps dvi font names to embedding information
+        self._character_tracker = _backend_pdf_ps.CharacterTracker()
 
         self.alphaStates = {}   # maps alpha values to graphics state objects
-        self.nextAlphaState = 1
-        self.hatchPatterns = {}
-        self.nextHatch = 1
+        self._alpha_state_seq = (Name(f'A{i}') for i in itertools.count(1))
+        self._soft_mask_states = {}
+        self._soft_mask_seq = (Name(f'SM{i}') for i in itertools.count(1))
+        self._soft_mask_groups = []
+        self._hatch_patterns = {}
+        self._hatch_pattern_seq = (Name(f'H{i}') for i in itertools.count(1))
         self.gouraudTriangles = []
 
-        self.images = {}
-        self.nextImage = 1
+        self._images = {}
+        self._image_seq = (Name(f'I{i}') for i in itertools.count(1))
 
         self.markers = {}
         self.multi_byte_charprocs = {}
 
         self.paths = []
 
+        # A list of annotations for each page. Each entry is a tuple of the
+        # overall Annots object reference that's inserted into the page object,
+        # followed by a list of the actual annotations.
+        self._annotations = []
+        # For annotations added before a page is created; mostly for the
+        # purpose of newTextnote.
+        self.pageAnnotations = []
+
         # The PDF spec recommends to include every procset
-        procsets = [Name(x)
-                    for x in "PDF Text ImageB ImageC ImageI".split()]
+        procsets = [Name(x) for x in "PDF Text ImageB ImageC ImageI".split()]
 
         # Write resource dictionary.
         # Possibly TODO: more general ExtGState (graphics state dictionaries)
         #                ColorSpace Pattern Shading Properties
         resources = {'Font': self.fontObject,
                      'XObject': self.XObjectObject,
-                     'ExtGState': self.alphaStateObject,
+                     'ExtGState': self._extGStateObject,
                      'Pattern': self.hatchObject,
                      'Shading': self.gouraudObject,
                      'ProcSet': procsets}
         self.writeObject(self.resourceObject, resources)
 
+    fontNames = _api.deprecated("3.11")(property(lambda self: self._fontNames))
+    dviFontInfo = _api.deprecated("3.11")(property(lambda self: self._dviFontInfo))
+    type1Descriptors = _api.deprecated("3.11")(property(lambda _: {}))
+
     def newPage(self, width, height):
         self.endStream()
 
         self.width, self.height = width, height
         contentObject = self.reserveObject('page contents')
+        annotsObject = self.reserveObject('annotations')
         thePage = {'Type': Name('Page'),
                    'Parent': self.pagesObject,
                    'Resources': self.resourceObject,
                    'MediaBox': [0, 0, 72 * width, 72 * height],
                    'Contents': contentObject,
-                   'Group': {'Type': Name('Group'),
-                             'S': Name('Transparency'),
-                             'CS': Name('DeviceRGB')}
+                   'Annots': annotsObject,
                    }
         pageObject = self.reserveObject('page')
         self.writeObject(pageObject, thePage)
         self.pageList.append(pageObject)
+        self._annotations.append((annotsObject, self.pageAnnotations))
 
         self.beginStream(contentObject.id,
                          self.reserveObject('length of content stream'))
-        # Initialize the pdf graphics state to match the default mpl
-        # graphics context: currently only the join style needs to be set
+        # Initialize the pdf graphics state to match the default Matplotlib
+        # graphics context (colorspace and joinstyle).
+        self.output(Name('DeviceRGB'), Op.setcolorspace_stroke)
+        self.output(Name('DeviceRGB'), Op.setcolorspace_nonstroke)
         self.output(GraphicsContextPdf.joinstyles['round'], Op.setlinejoin)
 
-    def close(self):
+        # Clear the list of annotations for the next page
+        self.pageAnnotations = []
+
+    def newTextnote(self, text, positionRect=[-100, -100, 0, 0]):
+        # Create a new annotation of type text
+        theNote = {'Type': Name('Annot'),
+                   'Subtype': Name('Text'),
+                   'Contents': text,
+                   'Rect': positionRect,
+                   }
+        self.pageAnnotations.append(theNote)
+
+    @staticmethod
+    def _get_subset_prefix(charset):
+        """
+        Get a prefix for a subsetted font name.
+
+        The prefix is six uppercase letters followed by a plus sign;
+        see PDF reference section 5.5.3 Font Subsets.
+        """
+        def toStr(n, base):
+            if n < base:
+                return string.ascii_uppercase[n]
+            else:
+                return (
+                    toStr(n // base, base) + string.ascii_uppercase[n % base]
+                )
+
+        # encode to string using base 26
+        hashed = hash(charset) % ((sys.maxsize + 1) * 2)
+        prefix = toStr(hashed, 26)
+
+        # get first 6 characters from prefix
+        return prefix[:6] + "+"
+
+    @staticmethod
+    def _get_subsetted_psname(ps_name, charmap):
+        return PdfFile._get_subset_prefix(frozenset(charmap.keys())) + ps_name
+
+    def finalize(self):
+        """Write out the various deferred objects and the pdf end matter."""
+
         self.endStream()
-        # Write out the various deferred objects
+        self._write_annotations()
         self.writeFonts()
-        self.writeObject(self.alphaStateObject,
-                         dict([(val[0], val[1])
-                               for val in six.itervalues(self.alphaStates)]))
+        self.writeExtGSTates()
+        self._write_soft_mask_groups()
         self.writeHatches()
         self.writeGouraudTriangles()
-        xobjects = dict(six.itervalues(self.images))
-        for tup in six.itervalues(self.markers):
+        xobjects = {
+            name: ob for image, name, ob in self._images.values()}
+        for tup in self.markers.values():
             xobjects[tup[0]] = tup[1]
-        for name, value in six.iteritems(self.multi_byte_charprocs):
+        for name, value in self.multi_byte_charprocs.items():
             xobjects[name] = value
         for name, path, trans, ob, join, cap, padding, filled, stroked \
                 in self.paths:
@@ -549,12 +864,16 @@ def close(self):
         # Finalize the file
         self.writeXref()
         self.writeTrailer()
+
+    def close(self):
+        """Flush all buffers and free all resources."""
+
+        self.endStream()
         if self.passed_in_file_object:
             self.fh.flush()
-        elif self.original_file_like is not None:
-            self.original_file_like.write(self.fh.getvalue())
-            self.fh.close()
         else:
+            if self.original_file_like is not None:
+                self.original_file_like.write(self.fh.getvalue())
             self.fh.close()
 
     def write(self, data):
@@ -564,68 +883,107 @@ def write(self, data):
             self.currentstream.write(data)
 
     def output(self, *data):
-        self.write(fill(list(map(pdfRepr, data))))
+        self.write(_fill([pdfRepr(x) for x in data]))
         self.write(b'\n')
 
-    def beginStream(self, id, len, extra=None):
+    def beginStream(self, id, len, extra=None, png=None):
         assert self.currentstream is None
-        self.currentstream = Stream(id, len, self, extra)
+        self.currentstream = Stream(id, len, self, extra, png)
 
     def endStream(self):
         if self.currentstream is not None:
             self.currentstream.end()
             self.currentstream = None
 
+    def outputStream(self, ref, data, *, extra=None):
+        self.beginStream(ref.id, None, extra)
+        self.currentstream.write(data)
+        self.endStream()
+
+    def _write_annotations(self):
+        for annotsObject, annotations in self._annotations:
+            self.writeObject(annotsObject, annotations)
+
     def fontName(self, fontprop):
         """
         Select a font based on fontprop and return a name suitable for
-        Op.selectfont. If fontprop is a string, it will be interpreted
-        as the filename (or dvi name) of the font.
+        ``Op.selectfont``. If fontprop is a string, it will be interpreted
+        as the filename of the font.
         """
 
-        if is_string_like(fontprop):
-            filename = fontprop
-        elif rcParams['pdf.use14corefonts']:
-            filename = findfont(
-                fontprop, fontext='afm', directory=self._core14fontdir)
-            if filename is None:
-                filename = findfont(
-                    "Helvetica", fontext='afm', directory=self._core14fontdir)
+        if isinstance(fontprop, str):
+            filenames = [fontprop]
+        elif mpl.rcParams['pdf.use14corefonts']:
+            filenames = _fontManager._find_fonts_by_props(
+                fontprop, fontext='afm', directory=RendererPdf._afm_font_dir
+            )
         else:
-            filename = findfont(fontprop)
-
-        Fx = self.fontNames.get(filename)
-        if Fx is None:
-            Fx = Name('F%d' % self.nextFont)
-            self.fontNames[filename] = Fx
-            self.nextFont += 1
-            matplotlib.verbose.report(
-                'Assigning font %s = %r' % (Fx, filename),
-                'debug')
+            filenames = _fontManager._find_fonts_by_props(fontprop)
+        first_Fx = None
+        for fname in filenames:
+            Fx = self._fontNames.get(fname)
+            if not first_Fx:
+                first_Fx = Fx
+            if Fx is None:
+                Fx = next(self._internal_font_seq)
+                self._fontNames[fname] = Fx
+                _log.debug('Assigning font %s = %r', Fx, fname)
+                if not first_Fx:
+                    first_Fx = Fx
+
+        # find_fontsprop's first value always adheres to
+        # findfont's value, so technically no behaviour change
+        return first_Fx
+
+    def dviFontName(self, dvifont):
+        """
+        Given a dvi font object, return a name suitable for Op.selectfont.
+        This registers the font information internally (in ``_dviFontInfo``) if
+        not yet registered.
+        """
 
-        return Fx
+        dvi_info = self._dviFontInfo.get(dvifont.texname)
+        if dvi_info is not None:
+            return dvi_info.pdfname
+
+        tex_font_map = dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
+        psfont = tex_font_map[dvifont.texname]
+        if psfont.filename is None:
+            raise ValueError(
+                "No usable font file found for {} (TeX: {}); "
+                "the font may lack a Type-1 version"
+                .format(psfont.psname, dvifont.texname))
+
+        pdfname = next(self._internal_font_seq)
+        _log.debug('Assigning font %s = %s (dvi)', pdfname, dvifont.texname)
+        self._dviFontInfo[dvifont.texname] = types.SimpleNamespace(
+            dvifont=dvifont,
+            pdfname=pdfname,
+            fontfile=psfont.filename,
+            basefont=psfont.psname,
+            encodingfile=psfont.encoding,
+            effects=psfont.effects)
+        return pdfname
 
     def writeFonts(self):
         fonts = {}
-        for filename, Fx in six.iteritems(self.fontNames):
-            matplotlib.verbose.report('Embedding font %s' % filename, 'debug')
+        for dviname, info in sorted(self._dviFontInfo.items()):
+            Fx = info.pdfname
+            _log.debug('Embedding Type-1 font %s from dvi.', dviname)
+            fonts[Fx] = self._embedTeXFont(info)
+        for filename in sorted(self._fontNames):
+            Fx = self._fontNames[filename]
+            _log.debug('Embedding font %s.', filename)
             if filename.endswith('.afm'):
                 # from pdf.use14corefonts
-                matplotlib.verbose.report('Writing AFM font', 'debug')
+                _log.debug('Writing AFM font.')
                 fonts[Fx] = self._write_afm_font(filename)
-            elif filename in self.dviFontInfo:
-                # a Type 1 font from a dvi file;
-                # the filename is really the TeX name
-                matplotlib.verbose.report('Writing Type-1 font', 'debug')
-                fonts[Fx] = self.embedTeXFont(filename,
-                                              self.dviFontInfo[filename])
             else:
                 # a normal TrueType font
-                matplotlib.verbose.report('Writing TrueType font', 'debug')
-                realpath, stat_key = get_realpath_and_stat(filename)
-                chars = self.used_characters.get(stat_key)
-                if chars is not None and len(chars[1]):
-                    fonts[Fx] = self.embedTTF(realpath, chars[1])
+                _log.debug('Writing TrueType font.')
+                chars = self._character_tracker.used.get(filename)
+                if chars:
+                    fonts[Fx] = self.embedTTF(filename, chars)
         self.writeObject(self.fontObject, fonts)
 
     def _write_afm_font(self, filename):
@@ -640,67 +998,66 @@ def _write_afm_font(self, filename):
         self.writeObject(fontdictObject, fontdict)
         return fontdictObject
 
-    def embedTeXFont(self, texname, fontinfo):
-        msg = ('Embedding TeX font ' + texname + ' - fontinfo=' +
-               repr(fontinfo.__dict__))
-        matplotlib.verbose.report(msg, 'debug')
-
-        # Widths
-        widthsObject = self.reserveObject('font widths')
-        self.writeObject(widthsObject, fontinfo.dvifont.widths)
+    def _embedTeXFont(self, fontinfo):
+        _log.debug('Embedding TeX font %s - fontinfo=%s',
+                   fontinfo.dvifont.texname, fontinfo.__dict__)
 
-        # Font dictionary
+        # The font dictionary is the top-level object describing a font
         fontdictObject = self.reserveObject('font dictionary')
         fontdict = {
             'Type':      Name('Font'),
             'Subtype':   Name('Type1'),
-            'FirstChar': 0,
-            'LastChar':  len(fontinfo.dvifont.widths) - 1,
-            'Widths':    widthsObject,
-            }
+        }
 
-        # Encoding (if needed)
+        # Read the font file and apply any encoding changes and effects
+        t1font = _type1font.Type1Font(fontinfo.fontfile)
         if fontinfo.encodingfile is not None:
-            enc = dviread.Encoding(fontinfo.encodingfile)
-            differencesArray = [Name(ch) for ch in enc]
-            differencesArray = [0] + differencesArray
-            fontdict['Encoding'] = \
-                {'Type': Name('Encoding'),
-                 'Differences': differencesArray}
-
-        # If no file is specified, stop short
-        if fontinfo.fontfile is None:
-            msg = ('Because of TeX configuration (pdftex.map, see updmap '
-                   'option pdftexDownloadBase14) the font {0} is not '
-                   'embedded. This is deprecated as of PDF 1.5 and it may '
-                   'cause the consumer application to show something that '
-                   'was not intended.').format(fontinfo.basefont)
-            warnings.warn(msg)
-            fontdict['BaseFont'] = Name(fontinfo.basefont)
-            self.writeObject(fontdictObject, fontdict)
-            return fontdictObject
-
-        # We have a font file to embed - read it in and apply any effects
-        t1font = type1font.Type1Font(fontinfo.fontfile)
+            t1font = t1font.with_encoding(
+                {i: c for i, c in enumerate(dviread._parse_enc(fontinfo.encodingfile))}
+            )
         if fontinfo.effects:
             t1font = t1font.transform(fontinfo.effects)
-        fontdict['BaseFont'] = Name(t1font.prop['FontName'])
 
-        # Font descriptors may be shared between differently encoded
-        # Type-1 fonts, so only create a new descriptor if there is no
-        # existing descriptor for this font.
-        effects = (fontinfo.effects.get('slant', 0.0),
-                   fontinfo.effects.get('extend', 1.0))
-        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
-        if fontdesc is None:
-            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
-            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
-        fontdict['FontDescriptor'] = fontdesc
+        # Reduce the font to only the glyphs used in the document, get the encoding
+        # for that subset, and compute various properties based on the encoding.
+        chars = frozenset(self._character_tracker.used[fontinfo.dvifont.fname])
+        t1font = t1font.subset(chars, self._get_subset_prefix(chars))
+        fontdict['BaseFont'] = Name(t1font.prop['FontName'])
+        # createType1Descriptor writes the font data as a side effect
+        fontdict['FontDescriptor'] = self.createType1Descriptor(t1font)
+        encoding = t1font.prop['Encoding']
+        fontdict['Encoding'] = self._generate_encoding(encoding)
+        fc = fontdict['FirstChar'] = min(encoding.keys(), default=0)
+        lc = fontdict['LastChar'] = max(encoding.keys(), default=255)
+
+        # Convert glyph widths from TeX 12.20 fixed point to 1/1000 text space units
+        tfm = fontinfo.dvifont._tfm
+        widths = [(1000 * metrics.tex_width) >> 20
+                  if (metrics := tfm.get_metrics(char)) else 0
+                  for char in range(fc, lc + 1)]
+        fontdict['Widths'] = widthsObject = self.reserveObject('glyph widths')
+        self.writeObject(widthsObject, widths)
 
         self.writeObject(fontdictObject, fontdict)
         return fontdictObject
 
-    def createType1Descriptor(self, t1font, fontfile):
+
+    def _generate_encoding(self, encoding):
+        prev = -2
+        result = []
+        for code, name in sorted(encoding.items()):
+            if code != prev + 1:
+                result.append(code)
+            prev = code
+            result.append(Name(name))
+        return {
+            'Type': Name('Encoding'),
+            'Differences': result
+        }
+
+
+    @_api.delete_parameter("3.11", "fontfile")
+    def createType1Descriptor(self, t1font, fontfile=None):
         # Create and write the font descriptor and the font file
         # of a Type-1 font
         fontdescObject = self.reserveObject('font descriptor')
@@ -735,43 +1092,49 @@ def createType1Descriptor(self, t1font, fontfile):
         if 0:
             flags |= 1 << 18
 
-        ft2font = FT2Font(fontfile)
+        encoding = t1font.prop['Encoding']
+        charset = ''.join(
+            sorted(
+                f'/{c}' for c in encoding.values()
+                if c != '.notdef'
+            )
+        )
 
         descriptor = {
             'Type':        Name('FontDescriptor'),
             'FontName':    Name(t1font.prop['FontName']),
             'Flags':       flags,
-            'FontBBox':    ft2font.bbox,
+            'FontBBox':    t1font.prop['FontBBox'],
             'ItalicAngle': italic_angle,
-            'Ascent':      ft2font.ascender,
-            'Descent':     ft2font.descender,
+            'Ascent':      t1font.prop['FontBBox'][3],
+            'Descent':     t1font.prop['FontBBox'][1],
             'CapHeight':   1000,  # TODO: find this out
             'XHeight':     500,  # TODO: this one too
             'FontFile':    fontfileObject,
             'FontFamily':  t1font.prop['FamilyName'],
             'StemV':       50,  # TODO
+            'CharSet':     charset,
             # (see also revision 3874; but not all TeX distros have AFM files!)
-            #'FontWeight': a number where 400 = Regular, 700 = Bold
-            }
+            # 'FontWeight': a number where 400 = Regular, 700 = Bold
+        }
 
         self.writeObject(fontdescObject, descriptor)
 
-        self.beginStream(fontfileObject.id, None,
-                         {'Length1': len(t1font.parts[0]),
-                          'Length2': len(t1font.parts[1]),
-                          'Length3': 0})
-        self.currentstream.write(t1font.parts[0])
-        self.currentstream.write(t1font.parts[1])
-        self.endStream()
+        self.outputStream(fontfileObject, b"".join(t1font.parts[:2]),
+                          extra={'Length1': len(t1font.parts[0]),
+                                 'Length2': len(t1font.parts[1]),
+                                 'Length3': 0})
 
         return fontdescObject
 
-    def _get_xobject_symbol_name(self, filename, symbol_name):
-        return "%s-%s" % (
+    def _get_xobject_glyph_name(self, filename, glyph_name):
+        Fx = self.fontName(filename)
+        return "-".join([
+            Fx.name.decode(),
             os.path.splitext(os.path.basename(filename))[0],
-            symbol_name)
+            glyph_name])
 
-    _identityToUnicodeCMap = """/CIDInit /ProcSet findresource begin
+    _identityToUnicodeCMap = b"""/CIDInit /ProcSet findresource begin
 12 dict begin
 begincmap
 /CIDSystemInfo
@@ -795,20 +1158,19 @@ def _get_xobject_symbol_name(self, filename, symbol_name):
     def embedTTF(self, filename, characters):
         """Embed the TTF font from the named file into the document."""
 
-        font = FT2Font(filename)
-        fonttype = rcParams['pdf.fonttype']
+        font = get_font(filename)
+        fonttype = mpl.rcParams['pdf.fonttype']
 
         def cvt(length, upe=font.units_per_EM, nearest=True):
-            "Convert font coordinates to PDF glyph coordinates"
+            """Convert font coordinates to PDF glyph coordinates."""
             value = length / upe * 1000
             if nearest:
                 return round(value)
-            # Perhaps best to round away from zero for bounding
-            # boxes and the like
+            # Best(?) to round away from zero for bounding boxes and the like.
             if value < 0:
-                return floor(value)
+                return math.floor(value)
             else:
-                return ceil(value)
+                return math.ceil(value)
 
         def embedTTFType3(font, characters, descriptor):
             """The Type 3-specific part of embedding a Truetype font"""
@@ -837,37 +1199,32 @@ def embedTTFType3(font, characters, descriptor):
                 'Widths': widthsObject
                 }
 
-            # Make the "Widths" array
             from encodings import cp1252
-            # The "decoding_map" was changed
-            # to a "decoding_table" as of Python 2.5.
-            if hasattr(cp1252, 'decoding_map'):
-                def decode_char(charcode):
-                    return cp1252.decoding_map[charcode] or 0
-            else:
-                def decode_char(charcode):
-                    return ord(cp1252.decoding_table[charcode])
 
+            # Make the "Widths" array
             def get_char_width(charcode):
-                s = decode_char(charcode)
+                s = ord(cp1252.decoding_table[charcode])
                 width = font.load_char(
-                    s, flags=LOAD_NO_SCALE | LOAD_NO_HINTING).horiAdvance
+                    s, flags=LoadFlags.NO_SCALE | LoadFlags.NO_HINTING).horiAdvance
                 return cvt(width)
-
-            widths = [get_char_width(charcode)
-                      for charcode in range(firstchar, lastchar+1)]
+            with warnings.catch_warnings():
+                # Ignore 'Required glyph missing from current font' warning
+                # from ft2font: here we're just building the widths table, but
+                # the missing glyphs may not even be used in the actual string.
+                warnings.filterwarnings("ignore")
+                widths = [get_char_width(charcode)
+                          for charcode in range(firstchar, lastchar+1)]
             descriptor['MaxWidth'] = max(widths)
 
             # Make the "Differences" array, sort the ccodes < 255 from
             # the multi-byte ccodes, and build the whole set of glyph ids
             # that we need from this font.
-            cmap = font.get_charmap()
             glyph_ids = []
             differences = []
             multi_byte_chars = set()
             for c in characters:
                 ccode = c
-                gind = cmap.get(ccode) or 0
+                gind = font.get_char_index(ccode)
                 glyph_ids.append(gind)
                 glyph_name = font.get_glyph_name(gind)
                 if ccode <= 255:
@@ -883,19 +1240,18 @@ def get_char_width(charcode):
                 differencesArray.append(Name(name))
                 last_c = c
 
-            # Make the charprocs array (using ttconv to generate the
-            # actual outlines)
-            rawcharprocs = ttconv.get_pdf_charprocs(
-                filename.encode(sys.getfilesystemencoding()), glyph_ids)
+            # Make the charprocs array.
+            rawcharprocs = _get_pdf_charprocs(filename, glyph_ids)
             charprocs = {}
-            for charname, stream in six.iteritems(rawcharprocs):
-                charprocDict = {'Length': len(stream)}
+            for charname in sorted(rawcharprocs):
+                stream = rawcharprocs[charname]
+                charprocDict = {}
                 # The 2-byte characters are used as XObjects, so they
                 # need extra info in their dictionary
                 if charname in multi_byte_chars:
-                    charprocDict['Type'] = Name('XObject')
-                    charprocDict['Subtype'] = Name('Form')
-                    charprocDict['BBox'] = bbox
+                    charprocDict = {'Type': Name('XObject'),
+                                    'Subtype': Name('Form'),
+                                    'BBox': bbox}
                     # Each glyph includes bounding box information,
                     # but xpdf and ghostscript can't handle it in a
                     # Form XObject (they segfault!!!), so we remove it
@@ -904,14 +1260,12 @@ def get_char_width(charcode):
                     # value.
                     stream = stream[stream.find(b"d1") + 2:]
                 charprocObject = self.reserveObject('charProc')
-                self.beginStream(charprocObject.id, None, charprocDict)
-                self.currentstream.write(stream)
-                self.endStream()
+                self.outputStream(charprocObject, stream, extra=charprocDict)
 
                 # Send the glyphs with ccode > 255 to the XObject dictionary,
                 # and the others to the font itself
                 if charname in multi_byte_chars:
-                    name = self._get_xobject_symbol_name(filename, charname)
+                    name = self._get_xobject_glyph_name(filename, charname)
                     self.multi_byte_charprocs[name] = charprocObject
                 else:
                     charprocs[charname] = charprocObject
@@ -934,6 +1288,23 @@ def embedTTFType42(font, characters, descriptor):
             wObject = self.reserveObject('Type 0 widths')
             toUnicodeMapObject = self.reserveObject('ToUnicode map')
 
+            subset_str = "".join(chr(c) for c in characters)
+            _log.debug("SUBSET %s characters: %s", filename, subset_str)
+            with _backend_pdf_ps.get_glyphs_subset(filename, subset_str) as subset:
+                fontdata = _backend_pdf_ps.font_as_file(subset)
+            _log.debug(
+                "SUBSET %s %d -> %d", filename,
+                os.stat(filename).st_size, fontdata.getbuffer().nbytes
+            )
+
+            # We need this ref for XObjects
+            full_font = font
+
+            # reload the font object from the subset
+            # (all the necessary data could probably be obtained directly
+            # using fontLib.ttLib)
+            font = FT2Font(fontdata)
+
             cidFontDict = {
                 'Type': Name('Font'),
                 'Subtype': Name('CIDFontType2'),
@@ -958,35 +1329,23 @@ def embedTTFType42(font, characters, descriptor):
 
             # Make fontfile stream
             descriptor['FontFile2'] = fontfileObject
-            length1Object = self.reserveObject('decoded length of a font')
-            self.beginStream(
-                fontfileObject.id,
-                self.reserveObject('length of font stream'),
-                {'Length1': length1Object})
-            with open(filename, 'rb') as fontfile:
-                length1 = 0
-                while True:
-                    data = fontfile.read(4096)
-                    if not data:
-                        break
-                    length1 += len(data)
-                    self.currentstream.write(data)
-            self.endStream()
-            self.writeObject(length1Object, length1)
+            self.outputStream(
+                fontfileObject, fontdata.getvalue(),
+                extra={'Length1': fontdata.getbuffer().nbytes})
 
             # Make the 'W' (Widths) array, CidToGidMap and ToUnicode CMap
             # at the same time
-            cid_to_gid_map = ['\u0000'] * 65536
-            cmap = font.get_charmap()
+            cid_to_gid_map = ['\0'] * 65536
             widths = []
             max_ccode = 0
             for c in characters:
                 ccode = c
-                gind = cmap.get(ccode) or 0
-                glyph = font.load_char(ccode, flags=LOAD_NO_HINTING)
-                widths.append((ccode, glyph.horiAdvance / 6))
+                gind = font.get_char_index(ccode)
+                glyph = font.load_char(ccode,
+                                       flags=LoadFlags.NO_SCALE | LoadFlags.NO_HINTING)
+                widths.append((ccode, cvt(glyph.horiAdvance)))
                 if ccode < 65536:
-                    cid_to_gid_map[ccode] = unichr(gind)
+                    cid_to_gid_map[ccode] = chr(gind)
                 max_ccode = max(ccode, max_ccode)
             widths.sort()
             cid_to_gid_map = cid_to_gid_map[:max_ccode + 1]
@@ -1008,28 +1367,51 @@ def embedTTFType42(font, characters, descriptor):
 
             unicode_bfrange = []
             for start, end in unicode_groups:
+                # Ensure the CID map contains only chars from BMP
+                if start > 65535:
+                    continue
+                end = min(65535, end)
+
                 unicode_bfrange.append(
-                    "<%04x> <%04x> [%s]" %
+                    b"<%04x> <%04x> [%s]" %
                     (start, end,
-                     " ".join(["<%04x>" % x for x in range(start, end+1)])))
+                     b" ".join(b"<%04x>" % x for x in range(start, end+1))))
             unicode_cmap = (self._identityToUnicodeCMap %
-                            (len(unicode_groups),
-                             "\n".join(unicode_bfrange))).encode('ascii')
+                            (len(unicode_groups), b"\n".join(unicode_bfrange)))
+
+            # Add XObjects for unsupported chars
+            glyph_ids = []
+            for ccode in characters:
+                if not _font_supports_glyph(fonttype, ccode):
+                    gind = full_font.get_char_index(ccode)
+                    glyph_ids.append(gind)
+
+            bbox = [cvt(x, nearest=False) for x in full_font.bbox]
+            rawcharprocs = _get_pdf_charprocs(filename, glyph_ids)
+            for charname in sorted(rawcharprocs):
+                stream = rawcharprocs[charname]
+                charprocDict = {'Type': Name('XObject'),
+                                'Subtype': Name('Form'),
+                                'BBox': bbox}
+                # Each glyph includes bounding box information,
+                # but xpdf and ghostscript can't handle it in a
+                # Form XObject (they segfault!!!), so we remove it
+                # from the stream here.  It's not needed anyway,
+                # since the Form XObject includes it in its BBox
+                # value.
+                stream = stream[stream.find(b"d1") + 2:]
+                charprocObject = self.reserveObject('charProc')
+                self.outputStream(charprocObject, stream, extra=charprocDict)
+
+                name = self._get_xobject_glyph_name(filename, charname)
+                self.multi_byte_charprocs[name] = charprocObject
 
             # CIDToGIDMap stream
             cid_to_gid_map = "".join(cid_to_gid_map).encode("utf-16be")
-            self.beginStream(cidToGidMapObject.id,
-                             None,
-                             {'Length':  len(cid_to_gid_map)})
-            self.currentstream.write(cid_to_gid_map)
-            self.endStream()
+            self.outputStream(cidToGidMapObject, cid_to_gid_map)
 
             # ToUnicode CMap
-            self.beginStream(toUnicodeMapObject.id,
-                             None,
-                             {'Length': unicode_cmap})
-            self.currentstream.write(unicode_cmap)
-            self.endStream()
+            self.outputStream(toUnicodeMapObject, unicode_cmap)
 
             descriptor['MaxWidth'] = max_width
 
@@ -1043,14 +1425,10 @@ def embedTTFType42(font, characters, descriptor):
 
         # Beginning of main embedTTF function...
 
-        # You are lost in a maze of TrueType tables, all different...
-        sfnt = font.get_sfnt()
-        try:
-            ps_name = sfnt[(1, 0, 0, 6)].decode('macroman')  # Macintosh scheme
-        except KeyError:
-            # Microsoft scheme:
-            ps_name = sfnt[(3, 1, 0x0409, 6)].decode('utf-16be')
-            # (see freetype/ttnameid.h)
+        ps_name = self._get_subsetted_psname(
+            font.postscript_name,
+            font.get_charmap()
+        )
         ps_name = ps_name.encode('ascii', 'replace')
         ps_name = Name(ps_name)
         pclt = font.get_sfnt_table('pclt') or {'capHeight': 0, 'xHeight': 0}
@@ -1060,7 +1438,7 @@ def embedTTFType42(font, characters, descriptor):
 
         flags = 0
         symbolic = False  # ps_name.name in ('Cmsy10', 'Cmmi10', 'Cmex10')
-        if ff & FIXED_WIDTH:
+        if FaceFlags.FIXED_WIDTH in ff:
             flags |= 1 << 0
         if 0:  # TODO: serif
             flags |= 1 << 1
@@ -1068,7 +1446,7 @@ def embedTTFType42(font, characters, descriptor):
             flags |= 1 << 2
         else:
             flags |= 1 << 5
-        if sf & ITALIC:
+        if StyleFlags.ITALIC in sf:
             flags |= 1 << 6
         if 0:  # TODO: all caps
             flags |= 1 << 16
@@ -1090,57 +1468,116 @@ def embedTTFType42(font, characters, descriptor):
             'StemV': 0  # ???
             }
 
-        # The font subsetting to a Type 3 font does not work for
-        # OpenType (.otf) that embed a Postscript CFF font, so avoid that --
-        # save as a (non-subsetted) Type 42 font instead.
-        if is_opentype_cff_font(filename):
-            fonttype = 42
-            msg = ("'%s' can not be subsetted into a Type 3 font. "
-                   "The entire font will be embedded in the output.")
-            warnings.warn(msg % os.path.basename(filename))
-
         if fonttype == 3:
             return embedTTFType3(font, characters, descriptor)
         elif fonttype == 42:
             return embedTTFType42(font, characters, descriptor)
 
     def alphaState(self, alpha):
-        """Return name of an ExtGState that sets alpha to the given value"""
+        """Return name of an ExtGState that sets alpha to the given value."""
 
         state = self.alphaStates.get(alpha, None)
         if state is not None:
             return state[0]
 
-        name = Name('A%d' % self.nextAlphaState)
-        self.nextAlphaState += 1
+        name = next(self._alpha_state_seq)
         self.alphaStates[alpha] = \
             (name, {'Type': Name('ExtGState'),
                     'CA': alpha[0], 'ca': alpha[1]})
         return name
 
+    def _soft_mask_state(self, smask):
+        """
+        Return an ExtGState that sets the soft mask to the given shading.
+
+        Parameters
+        ----------
+        smask : Reference
+            Reference to a shading in DeviceGray color space, whose luminosity
+            is to be used as the alpha channel.
+
+        Returns
+        -------
+        Name
+        """
+
+        state = self._soft_mask_states.get(smask, None)
+        if state is not None:
+            return state[0]
+
+        name = next(self._soft_mask_seq)
+        groupOb = self.reserveObject('transparency group for soft mask')
+        self._soft_mask_states[smask] = (
+            name,
+            {
+                'Type': Name('ExtGState'),
+                'AIS': False,
+                'SMask': {
+                    'Type': Name('Mask'),
+                    'S': Name('Luminosity'),
+                    'BC': [1],
+                    'G': groupOb
+                }
+            }
+        )
+        self._soft_mask_groups.append((
+            groupOb,
+            {
+                'Type': Name('XObject'),
+                'Subtype': Name('Form'),
+                'FormType': 1,
+                'Group': {
+                    'S': Name('Transparency'),
+                    'CS': Name('DeviceGray')
+                },
+                'Matrix': [1, 0, 0, 1, 0, 0],
+                'Resources': {'Shading': {'S': smask}},
+                'BBox': [0, 0, 1, 1]
+            },
+            [Name('S'), Op.shading]
+        ))
+        return name
+
+    def writeExtGSTates(self):
+        self.writeObject(
+            self._extGStateObject,
+            dict([
+                *self.alphaStates.values(),
+                *self._soft_mask_states.values()
+            ])
+        )
+
+    def _write_soft_mask_groups(self):
+        for ob, attributes, content in self._soft_mask_groups:
+            self.beginStream(ob.id, None, attributes)
+            self.output(*content)
+            self.endStream()
+
     def hatchPattern(self, hatch_style):
         # The colors may come in as numpy arrays, which aren't hashable
-        if hatch_style is not None:
-            face, edge, hatch = hatch_style
-            if face is not None:
-                face = tuple(face)
-            if edge is not None:
-                edge = tuple(edge)
-            hatch_style = (face, edge, hatch)
-
-        pattern = self.hatchPatterns.get(hatch_style, None)
+        edge, face, hatch, lw = hatch_style
+        if edge is not None:
+            edge = tuple(edge)
+        if face is not None:
+            face = tuple(face)
+        hatch_style = (edge, face, hatch, lw)
+
+        pattern = self._hatch_patterns.get(hatch_style, None)
         if pattern is not None:
             return pattern
 
-        name = Name('H%d' % self.nextHatch)
-        self.nextHatch += 1
-        self.hatchPatterns[hatch_style] = name
+        name = next(self._hatch_pattern_seq)
+        self._hatch_patterns[hatch_style] = name
         return name
 
+    hatchPatterns = _api.deprecated("3.10")(property(lambda self: {
+        k: (e, f, h) for k, (e, f, h, l) in self._hatch_patterns.items()
+    }))
+
     def writeHatches(self):
         hatchDict = dict()
         sidelen = 72.0
-        for hatch_style, name in six.iteritems(self.hatchPatterns):
+        for hatch_style, name in self._hatch_patterns.items():
             ob = self.reserveObject('hatch pattern')
             hatchDict[name] = ob
             res = {'Procsets':
@@ -1151,48 +1588,70 @@ def writeHatches(self):
                  'PatternType': 1, 'PaintType': 1, 'TilingType': 1,
                  'BBox': [0, 0, sidelen, sidelen],
                  'XStep': sidelen, 'YStep': sidelen,
-                 'Resources': res})
-
-            # lst is a tuple of stroke color, fill color,
-            # number of - lines, number of / lines,
-            # number of | lines, number of \ lines
-            rgb = hatch_style[0]
-            self.output(rgb[0], rgb[1], rgb[2], Op.setrgb_stroke)
-            if hatch_style[1] is not None:
-                rgb = hatch_style[1]
-                self.output(rgb[0], rgb[1], rgb[2], Op.setrgb_nonstroke,
+                 'Resources': res,
+                 # Change origin to match Agg at top-left.
+                 'Matrix': [1, 0, 0, 1, 0, self.height * 72]})
+
+            stroke_rgb, fill_rgb, hatch, lw = hatch_style
+            self.output(stroke_rgb[0], stroke_rgb[1], stroke_rgb[2],
+                        Op.setrgb_stroke)
+            if fill_rgb is not None:
+                self.output(fill_rgb[0], fill_rgb[1], fill_rgb[2],
+                            Op.setrgb_nonstroke,
                             0, 0, sidelen, sidelen, Op.rectangle,
                             Op.fill)
+            self.output(stroke_rgb[0], stroke_rgb[1], stroke_rgb[2],
+                        Op.setrgb_nonstroke)
 
-            self.output(0.1, Op.setlinewidth)
+            self.output(lw, Op.setlinewidth)
 
-            # TODO: We could make this dpi-dependent, but that would be
-            # an API change
             self.output(*self.pathOperations(
-                Path.hatch(hatch_style[2]),
+                Path.hatch(hatch),
                 Affine2D().scale(sidelen),
                 simplify=False))
-            self.output(Op.stroke)
+            self.output(Op.fill_stroke)
 
             self.endStream()
         self.writeObject(self.hatchObject, hatchDict)
 
     def addGouraudTriangles(self, points, colors):
+        """
+        Add a Gouraud triangle shading.
+
+        Parameters
+        ----------
+        points : np.ndarray
+            Triangle vertices, shape (n, 3, 2)
+            where n = number of triangles, 3 = vertices, 2 = x, y.
+        colors : np.ndarray
+            Vertex colors, shape (n, 3, 1) or (n, 3, 4)
+            as with points, but last dimension is either (gray,)
+            or (r, g, b, alpha).
+
+        Returns
+        -------
+        Name, Reference
+        """
         name = Name('GT%d' % len(self.gouraudTriangles))
-        self.gouraudTriangles.append((name, points, colors))
-        return name
+        ob = self.reserveObject(f'Gouraud triangle {name}')
+        self.gouraudTriangles.append((name, ob, points, colors))
+        return name, ob
 
     def writeGouraudTriangles(self):
         gouraudDict = dict()
-        for name, points, colors in self.gouraudTriangles:
-            ob = self.reserveObject('Gouraud triangle')
+        for name, ob, points, colors in self.gouraudTriangles:
             gouraudDict[name] = ob
             shape = points.shape
             flat_points = points.reshape((shape[0] * shape[1], 2))
-            flat_colors = colors.reshape((shape[0] * shape[1], 4))
+            colordim = colors.shape[2]
+            assert colordim in (1, 4)
+            flat_colors = colors.reshape((shape[0] * shape[1], colordim))
+            if colordim == 4:
+                # strip the alpha channel
+                colordim = 3
             points_min = np.min(flat_points, axis=0) - (1 << 8)
             points_max = np.max(flat_points, axis=0) + (1 << 8)
-            factor = float(0xffffffff) / (points_max - points_min)
+            factor = 0xffffffff / (points_max - points_min)
 
             self.beginStream(
                 ob.id, None,
@@ -1200,102 +1659,166 @@ def writeGouraudTriangles(self):
                  'BitsPerCoordinate': 32,
                  'BitsPerComponent': 8,
                  'BitsPerFlag': 8,
-                 'ColorSpace': Name('DeviceRGB'),
-                 'AntiAlias': True,
-                 'Decode': [points_min[0], points_max[0],
-                            points_min[1], points_max[1],
-                            0, 1, 0, 1, 0, 1]
+                 'ColorSpace': Name(
+                     'DeviceRGB' if colordim == 3 else 'DeviceGray'
+                 ),
+                 'AntiAlias': False,
+                 'Decode': ([points_min[0], points_max[0],
+                             points_min[1], points_max[1]]
+                            + [0, 1] * colordim),
                  })
 
             streamarr = np.empty(
                 (shape[0] * shape[1],),
-                dtype=[(str('flags'), str('u1')),
-                       (str('points'), str('>u4'), (2,)),
-                       (str('colors'), str('u1'), (3,))])
+                dtype=[('flags', 'u1'),
+                       ('points', '>u4', (2,)),
+                       ('colors', 'u1', (colordim,))])
             streamarr['flags'] = 0
             streamarr['points'] = (flat_points - points_min) * factor
-            streamarr['colors'] = flat_colors[:, :3] * 255.0
+            streamarr['colors'] = flat_colors[:, :colordim] * 255.0
 
-            self.write(streamarr.tostring())
+            self.write(streamarr.tobytes())
             self.endStream()
         self.writeObject(self.gouraudObject, gouraudDict)
 
     def imageObject(self, image):
         """Return name of an image XObject representing the given image."""
 
-        pair = self.images.get(image, None)
-        if pair is not None:
-            return pair[0]
+        entry = self._images.get(id(image), None)
+        if entry is not None:
+            return entry[1]
 
-        name = Name('I%d' % self.nextImage)
-        ob = self.reserveObject('image %d' % self.nextImage)
-        self.nextImage += 1
-        self.images[image] = (name, ob)
+        name = next(self._image_seq)
+        ob = self.reserveObject(f'image {name}')
+        self._images[id(image)] = (image, name, ob)
         return name
 
-    ## These two from backend_ps.py
-    ## TODO: alpha (SMask, p. 518 of pdf spec)
-
-    def _rgb(self, im):
-        h, w, s = im.as_rgba_str()
-
-        rgba = np.fromstring(s, np.uint8)
-        rgba.shape = (h, w, 4)
-        rgba = rgba[::-1]
-        rgb = rgba[:, :, :3]
-        a = rgba[:, :, 3:]
-        return h, w, rgb.tostring(), a.tostring()
-
-    def _gray(self, im, rc=0.3, gc=0.59, bc=0.11):
-        rgbat = im.as_rgba_str()
-        rgba = np.fromstring(rgbat[2], np.uint8)
-        rgba.shape = (rgbat[0], rgbat[1], 4)
-        rgba = rgba[::-1]
-        rgba_f = rgba.astype(np.float32)
-        r = rgba_f[:, :, 0]
-        g = rgba_f[:, :, 1]
-        b = rgba_f[:, :, 2]
-        gray = (r*rc + g*gc + b*bc).astype(np.uint8)
-        return rgbat[0], rgbat[1], gray.tostring()
+    def _unpack(self, im):
+        """
+        Unpack image array *im* into ``(data, alpha)``, which have shape
+        ``(height, width, 3)`` (RGB) or ``(height, width, 1)`` (grayscale or
+        alpha), except that alpha is None if the image is fully opaque.
+        """
+        im = im[::-1]
+        if im.ndim == 2:
+            return im, None
+        else:
+            rgb = im[:, :, :3]
+            rgb = np.array(rgb, order='C')
+            # PDF needs a separate alpha image
+            if im.shape[2] == 4:
+                alpha = im[:, :, 3][..., None]
+                if np.all(alpha == 255):
+                    alpha = None
+                else:
+                    alpha = np.array(alpha, order='C')
+            else:
+                alpha = None
+            return rgb, alpha
 
-    def writeImages(self):
-        for img, pair in six.iteritems(self.images):
-            if img.is_grayscale:
-                height, width, data = self._gray(img)
-                self.beginStream(
-                    pair[1].id,
-                    self.reserveObject('length of image stream'),
-                    {'Type': Name('XObject'), 'Subtype': Name('Image'),
-                     'Width': width, 'Height': height,
-                     'ColorSpace': Name('DeviceGray'), 'BitsPerComponent': 8})
-                # TODO: predictors (i.e., output png)
-                self.currentstream.write(data)
-                self.endStream()
+    def _writePng(self, img):
+        """
+        Write the image *img* into the pdf file using png
+        predictors with Flate compression.
+        """
+        buffer = BytesIO()
+        img.save(buffer, format="png")
+        buffer.seek(8)
+        png_data = b''
+        bit_depth = palette = None
+        while True:
+            length, type = struct.unpack(b'!L4s', buffer.read(8))
+            if type in [b'IHDR', b'PLTE', b'IDAT']:
+                data = buffer.read(length)
+                if len(data) != length:
+                    raise RuntimeError("truncated data")
+                if type == b'IHDR':
+                    bit_depth = int(data[8])
+                elif type == b'PLTE':
+                    palette = data
+                elif type == b'IDAT':
+                    png_data += data
+            elif type == b'IEND':
+                break
             else:
-                height, width, data, adata = self._rgb(img)
+                buffer.seek(length, 1)
+            buffer.seek(4, 1)   # skip CRC
+        return png_data, bit_depth, palette
+
+    def _writeImg(self, data, id, smask=None):
+        """
+        Write the image *data*, of shape ``(height, width, 1)`` (grayscale) or
+        ``(height, width, 3)`` (RGB), as pdf object *id* and with the soft mask
+        (alpha channel) *smask*, which should be either None or a ``(height,
+        width, 1)`` array.
+        """
+        height, width, color_channels = data.shape
+        obj = {'Type': Name('XObject'),
+               'Subtype': Name('Image'),
+               'Width': width,
+               'Height': height,
+               'ColorSpace': Name({1: 'DeviceGray', 3: 'DeviceRGB'}[color_channels]),
+               'BitsPerComponent': 8}
+        if smask:
+            obj['SMask'] = smask
+        if mpl.rcParams['pdf.compression']:
+            if data.shape[-1] == 1:
+                data = data.squeeze(axis=-1)
+            png = {'Predictor': 10, 'Colors': color_channels, 'Columns': width}
+            img = Image.fromarray(data)
+            img_colors = img.getcolors(maxcolors=256)
+            if color_channels == 3 and img_colors is not None:
+                # Convert to indexed color if there are 256 colors or fewer. This can
+                # significantly reduce the file size.
+                num_colors = len(img_colors)
+                palette = np.array([comp for _, color in img_colors for comp in color],
+                                   dtype=np.uint8)
+                palette24 = ((palette[0::3].astype(np.uint32) << 16) |
+                             (palette[1::3].astype(np.uint32) << 8) |
+                             palette[2::3])
+                rgb24 = ((data[:, :, 0].astype(np.uint32) << 16) |
+                         (data[:, :, 1].astype(np.uint32) << 8) |
+                         data[:, :, 2])
+                indices = np.argsort(palette24).astype(np.uint8)
+                rgb8 = indices[np.searchsorted(palette24, rgb24, sorter=indices)]
+                img = Image.fromarray(rgb8, mode='P')
+                img.putpalette(palette)
+                png_data, bit_depth, palette = self._writePng(img)
+                if bit_depth is None or palette is None:
+                    raise RuntimeError("invalid PNG header")
+                palette = palette[:num_colors * 3]  # Trim padding; remove for Pillow>=9
+                obj['ColorSpace'] = [Name('Indexed'), Name('DeviceRGB'),
+                                     num_colors - 1, palette]
+                obj['BitsPerComponent'] = bit_depth
+                png['Colors'] = 1
+                png['BitsPerComponent'] = bit_depth
+            else:
+                png_data, _, _ = self._writePng(img)
+        else:
+            png = None
+        self.beginStream(
+            id,
+            self.reserveObject('length of image stream'),
+            obj,
+            png=png
+            )
+        if png:
+            self.currentstream.write(png_data)
+        else:
+            self.currentstream.write(data.tobytes())
+        self.endStream()
+
+    def writeImages(self):
+        for img, name, ob in self._images.values():
+            data, adata = self._unpack(img)
+            if adata is not None:
                 smaskObject = self.reserveObject("smask")
-                self.beginStream(
-                    smaskObject.id,
-                    self.reserveObject('length of smask stream'),
-                    {'Type': Name('XObject'), 'Subtype': Name('Image'),
-                     'Width': width, 'Height': height,
-                     'ColorSpace': Name('DeviceGray'), 'BitsPerComponent': 8})
-                # TODO: predictors (i.e., output png)
-                self.currentstream.write(adata)
-                self.endStream()
-
-                self.beginStream(
-                    pair[1].id,
-                    self.reserveObject('length of image stream'),
-                    {'Type': Name('XObject'), 'Subtype': Name('Image'),
-                     'Width': width, 'Height': height,
-                     'ColorSpace': Name('DeviceRGB'), 'BitsPerComponent': 8,
-                     'SMask': smaskObject})
-                # TODO: predictors (i.e., output png)
-                self.currentstream.write(data)
-                self.endStream()
-
-    def markerObject(self, path, trans, fillp, strokep, lw, joinstyle,
+                self._writeImg(adata, smaskObject.id)
+            else:
+                smaskObject = None
+            self._writeImg(data, ob.id, smaskObject)
+
+    def markerObject(self, path, trans, fill, stroke, lw, joinstyle,
                      capstyle):
         """Return name of a marker XObject representing the given path."""
         # self.markers used by markerObject, writeMarkers, close:
@@ -1311,7 +1834,7 @@ def markerObject(self, path, trans, fillp, strokep, lw, joinstyle,
         # first two components of each value in self.markers to be the
         # name and object reference.
         pathops = self.pathOperations(path, trans, simplify=False)
-        key = (tuple(pathops), bool(fillp), bool(strokep), joinstyle, capstyle)
+        key = (tuple(pathops), bool(fill), bool(stroke), joinstyle, capstyle)
         result = self.markers.get(key)
         if result is None:
             name = Name('M%d' % len(self.markers))
@@ -1325,9 +1848,16 @@ def markerObject(self, path, trans, fillp, strokep, lw, joinstyle,
         return name
 
     def writeMarkers(self):
-        for ((pathops, fillp, strokep, joinstyle, capstyle),
-             (name, ob, bbox, lw)) in six.iteritems(self.markers):
-            bbox = bbox.padded(lw * 0.5)
+        for ((pathops, fill, stroke, joinstyle, capstyle),
+             (name, ob, bbox, lw)) in self.markers.items():
+            # bbox wraps the exact limits of the control points, so half a line
+            # will appear outside it. If the join style is miter and the line
+            # is not parallel to the edge, then the line will extend even
+            # further. From the PDF specification, Section 8.4.3.5, the miter
+            # limit is miterLength / lineWidth and from Table 52, the default
+            # is 10. With half the miter length outside, that works out to the
+            # following padding:
+            bbox = bbox.padded(lw * 5)
             self.beginStream(
                 ob.id, None,
                 {'Type': Name('XObject'), 'Subtype': Name('Form'),
@@ -1336,7 +1866,7 @@ def writeMarkers(self):
                         Op.setlinejoin)
             self.output(GraphicsContextPdf.capstyles[capstyle], Op.setlinecap)
             self.output(*pathops)
-            self.output(Op.paint_path(False, fillp, strokep))
+            self.output(Op.paint_path(fill, stroke))
             self.endStream()
 
     def pathCollectionObject(self, gc, path, trans, padding, filled, stroked):
@@ -1365,37 +1895,17 @@ def writePathCollectionTemplates(self):
                         Op.setlinejoin)
             self.output(GraphicsContextPdf.capstyles[capstyle], Op.setlinecap)
             self.output(*pathops)
-            self.output(Op.paint_path(False, filled, stroked))
+            self.output(Op.paint_path(filled, stroked))
             self.endStream()
 
     @staticmethod
     def pathOperations(path, transform, clip=None, simplify=None, sketch=None):
-        cmds = []
-        last_points = None
-        for points, code in path.iter_segments(transform, clip=clip,
-                                               simplify=simplify,
-                                               sketch=sketch):
-            if code == Path.MOVETO:
-                # This is allowed anywhere in the path
-                cmds.extend(points)
-                cmds.append(Op.moveto)
-            elif code == Path.CLOSEPOLY:
-                cmds.append(Op.closepath)
-            elif last_points is None:
-                # The other operations require a previous point
-                raise ValueError('Path lacks initial MOVETO')
-            elif code == Path.LINETO:
-                cmds.extend(points)
-                cmds.append(Op.lineto)
-            elif code == Path.CURVE3:
-                points = quad2cubic(*(list(last_points[-2:]) + list(points)))
-                cmds.extend(points[2:])
-                cmds.append(Op.curveto)
-            elif code == Path.CURVE4:
-                cmds.extend(points)
-                cmds.append(Op.curveto)
-            last_points = points
-        return cmds
+        return [Verbatim(_path.convert_to_string(
+            path, transform, clip, simplify, sketch,
+            6,
+            [Op.moveto.value, Op.lineto.value, b'', Op.curveto.value,
+             Op.closepath.value],
+            True))]
 
     def writePath(self, path, transform, clip=False, sketch=None):
         if clip:
@@ -1409,13 +1919,13 @@ def writePath(self, path, transform, clip=False, sketch=None):
         self.output(*cmds)
 
     def reserveObject(self, name=''):
-        """Reserve an ID for an indirect object.
+        """
+        Reserve an ID for an indirect object.
+
         The name is used for debugging in case we forget to print out
         the object with writeObject.
         """
-
-        id = self.nextObject
-        self.nextObject += 1
+        id = next(self._object_seq)
         self.xrefTable.append([None, 0, name])
         return Reference(id)
 
@@ -1428,49 +1938,20 @@ def writeObject(self, object, contents):
 
     def writeXref(self):
         """Write out the xref table."""
-
         self.startxref = self.fh.tell() - self.tell_base
-        self.write(("xref\n0 %d\n" % self.nextObject).encode('ascii'))
-        i = 0
-        borken = False
-        for offset, generation, name in self.xrefTable:
+        self.write(b"xref\n0 %d\n" % len(self.xrefTable))
+        for i, (offset, generation, name) in enumerate(self.xrefTable):
             if offset is None:
-                print('No offset for object %d (%s)' % (i, name),
-                      file=sys.stderr)
-                borken = True
+                raise AssertionError(
+                    'No offset for object %d (%s)' % (i, name))
             else:
-                if name == 'the zero object':
-                    key = "f"
-                else:
-                    key = "n"
-                text = "%010d %05d %s \n" % (offset, generation, key)
-                self.write(text.encode('ascii'))
-            i += 1
-        if borken:
-            raise AssertionError('Indirect object does not exist')
+                key = b"f" if name == 'the zero object' else b"n"
+                text = b"%010d %05d %b \n" % (offset, generation, key)
+                self.write(text)
 
     def writeInfoDict(self):
         """Write out the info dictionary, checking it for good form"""
 
-        is_date = lambda x: isinstance(x, datetime)
-        check_trapped = (lambda x: isinstance(x, Name) and
-                         x.name in ('True', 'False', 'Unknown'))
-        keywords = {'Title': is_string_like,
-                    'Author': is_string_like,
-                    'Subject': is_string_like,
-                    'Keywords': is_string_like,
-                    'Creator': is_string_like,
-                    'Producer': is_string_like,
-                    'CreationDate': is_date,
-                    'ModDate': is_date,
-                    'Trapped': check_trapped}
-        for k in six.iterkeys(self.infoDict):
-            if k not in keywords:
-                warnings.warn('Unknown infodict keyword: %s' % k)
-            else:
-                if not keywords[k](self.infoDict[k]):
-                    warnings.warn('Bad value for infodict keyword %s' % k)
-
         self.infoObject = self.reserveObject('info')
         self.writeObject(self.infoObject, self.infoDict)
 
@@ -1479,25 +1960,23 @@ def writeTrailer(self):
 
         self.write(b"trailer\n")
         self.write(pdfRepr(
-            {'Size': self.nextObject,
+            {'Size': len(self.xrefTable),
              'Root': self.rootObject,
              'Info': self.infoObject}))
         # Could add 'ID'
-        self.write(("\nstartxref\n%d\n%%%%EOF\n" %
-                    self.startxref).encode('ascii'))
+        self.write(b"\nstartxref\n%d\n%%%%EOF\n" % self.startxref)
 
 
-class RendererPdf(RendererBase):
-    truetype_font_cache = maxdict(50)
-    afm_font_cache = maxdict(50)
+class RendererPdf(_backend_pdf_ps.RendererPDFPSBase):
 
-    def __init__(self, file, image_dpi):
-        RendererBase.__init__(self)
+    _afm_font_dir = cbook._get_data_path("fonts/pdfcorefonts")
+    _use_afm_rc_name = "pdf.use14corefonts"
+
+    def __init__(self, file, image_dpi, height, width):
+        super().__init__(width, height)
         self.file = file
         self.gc = self.new_gc()
-        self.mathtext_parser = MathTextParser("Pdf")
         self.image_dpi = image_dpi
-        self.tex_font_map = None
 
     def finalize(self):
         self.file.output(*self.gc.finalize())
@@ -1508,6 +1987,12 @@ def check_gc(self, gc, fillcolor=None):
 
         orig_alphas = getattr(gc, '_effective_alphas', (1.0, 1.0))
 
+        if gc.get_rgb() is None:
+            # It should not matter what color here since linewidth should be
+            # 0 unless affected by global settings in rcParams, hence setting
+            # zero alpha just in case.
+            gc.set_foreground((0, 0, 0, 0), isRGBA=True)
+
         if gc._forced_alpha:
             gc._effective_alphas = (gc._alpha, gc._alpha)
         elif fillcolor is None or len(fillcolor) < 4:
@@ -1523,53 +2008,24 @@ def check_gc(self, gc, fillcolor=None):
         gc._fillcolor = orig_fill
         gc._effective_alphas = orig_alphas
 
-    def tex_font_mapping(self, texfont):
-        if self.tex_font_map is None:
-            self.tex_font_map = \
-                dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
-        return self.tex_font_map[texfont]
-
-    def track_characters(self, font, s):
-        """Keeps track of which characters are required from
-        each font."""
-        if isinstance(font, six.string_types):
-            fname = font
-        else:
-            fname = font.fname
-        realpath, stat_key = get_realpath_and_stat(fname)
-        used_characters = self.file.used_characters.setdefault(
-            stat_key, (realpath, set()))
-        used_characters[1].update([ord(x) for x in s])
-
-    def merge_used_characters(self, other):
-        for stat_key, (realpath, charset) in six.iteritems(other):
-            used_characters = self.file.used_characters.setdefault(
-                stat_key, (realpath, set()))
-            used_characters[1].update(charset)
-
     def get_image_magnification(self):
         return self.image_dpi/72.0
 
-    def option_scale_image(self):
-        """
-        pdf backend support arbitrary scaling of image.
-        """
-        return True
+    def draw_image(self, gc, x, y, im, transform=None):
+        # docstring inherited
 
-    def draw_image(self, gc, x, y, im, dx=None, dy=None, transform=None):
-        self.check_gc(gc)
+        h, w = im.shape[:2]
+        if w == 0 or h == 0:
+            return
 
-        h, w = im.get_size_out()
+        if transform is None:
+            # If there's no transform, alpha has already been applied
+            gc.set_alpha(1.0)
 
-        if dx is None:
-            w = 72.0*w/self.image_dpi
-        else:
-            w = dx
+        self.check_gc(gc)
 
-        if dy is None:
-            h = 72.0*h/self.image_dpi
-        else:
-            h = dy
+        w = 72.0 * w / self.image_dpi
+        h = 72.0 * h / self.image_dpi
 
         imob = self.file.imageObject(im)
 
@@ -1578,14 +2034,15 @@ def draw_image(self, gc, x, y, im, dx=None, dy=None, transform=None):
                              w, 0, 0, h, x, y, Op.concat_matrix,
                              imob, Op.use_xobject, Op.grestore)
         else:
-            tr1, tr2, tr3, tr4, tr5, tr6 = transform.to_values()
+            tr1, tr2, tr3, tr4, tr5, tr6 = transform.frozen().to_values()
 
             self.file.output(Op.gsave,
+                             1, 0, 0, 1, x, y, Op.concat_matrix,
                              tr1, tr2, tr3, tr4, tr5, tr6, Op.concat_matrix,
-                             w, 0, 0, h, x, y, Op.concat_matrix,
                              imob, Op.use_xobject, Op.grestore)
 
     def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
         self.check_gc(gc, rgbFace)
         self.file.writePath(
             path, transform,
@@ -1594,9 +2051,9 @@ def draw_path(self, gc, path, transform, rgbFace=None):
         self.file.output(self.gc.paint())
 
     def draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
+                             offsets, offset_trans, facecolors, edgecolors,
                              linewidths, linestyles, antialiaseds, urls,
-                             offset_position):
+                             offset_position, *, hatchcolors=None):
         # We can only reuse the objects if the presence of fill and
         # stroke (and the amount of alpha for each) is the same for
         # all of them
@@ -1604,6 +2061,9 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
         facecolors = np.asarray(facecolors)
         edgecolors = np.asarray(edgecolors)
 
+        if hatchcolors is None:
+            hatchcolors = []
+
         if not len(facecolors):
             filled = False
             can_do_optimization = not gc.get_hatch()
@@ -1636,9 +2096,9 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
         if (not can_do_optimization) or (not should_do_optimization):
             return RendererBase.draw_path_collection(
                 self, gc, master_transform, paths, all_transforms,
-                offsets, offsetTrans, facecolors, edgecolors,
+                offsets, offset_trans, facecolors, edgecolors,
                 linewidths, linestyles, antialiaseds, urls,
-                offset_position)
+                offset_position, hatchcolors=hatchcolors)
 
         padding = np.max(linewidths)
         path_codes = []
@@ -1652,9 +2112,9 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
         output(*self.gc.push())
         lastx, lasty = 0, 0
         for xo, yo, path_id, gc0, rgbFace in self._iter_collection(
-                gc, master_transform, all_transforms, path_codes, offsets,
-                offsetTrans, facecolors, edgecolors, linewidths, linestyles,
-                antialiaseds, urls, offset_position):
+                gc, path_codes, offsets, offset_trans,
+                facecolors, edgecolors, linewidths, linestyles,
+                antialiaseds, urls, offset_position, hatchcolors=hatchcolors):
 
             self.check_gc(gc0, rgbFace)
             dx, dy = xo - lastx, yo - lasty
@@ -1665,6 +2125,8 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
 
     def draw_markers(self, gc, marker_path, marker_trans, path, trans,
                      rgbFace=None):
+        # docstring inherited
+
         # Same logic as in draw_path_collection
         len_marker_path = len(marker_path)
         uses = len(path)
@@ -1674,12 +2136,12 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans,
             return
 
         self.check_gc(gc, rgbFace)
-        fillp = gc.fillp(rgbFace)
-        strokep = gc.strokep()
+        fill = gc.fill(rgbFace)
+        stroke = gc.stroke()
 
         output = self.file.output
         marker = self.file.markerObject(
-            marker_path, marker_trans, fillp, strokep, self.gc._linewidth,
+            marker_path, marker_trans, fill, stroke, self.gc._linewidth,
             gc.get_joinstyle(), gc.get_capstyle())
 
         output(Op.gsave)
@@ -1690,10 +2152,8 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans,
                 simplify=False):
             if len(vertices):
                 x, y = vertices[-2:]
-                if (x < 0 or
-                    y < 0 or
-                    x > self.file.width * 72 or
-                    y > self.file.height * 72):
+                if not (0 <= x <= self.file.width * 72
+                        and 0 <= y <= self.file.height * 72):
                     continue
                 dx, dy = x - lastx, y - lasty
                 output(1, 0, 0, 1, dx, dy, Op.concat_matrix,
@@ -1701,94 +2161,101 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans,
                 lastx, lasty = x, y
         output(Op.grestore)
 
-    def draw_gouraud_triangle(self, gc, points, colors, trans):
-        self.draw_gouraud_triangles(gc, points.reshape((1, 3, 2)),
-                                    colors.reshape((1, 3, 4)), trans)
-
     def draw_gouraud_triangles(self, gc, points, colors, trans):
         assert len(points) == len(colors)
+        if len(points) == 0:
+            return
         assert points.ndim == 3
         assert points.shape[1] == 3
         assert points.shape[2] == 2
         assert colors.ndim == 3
         assert colors.shape[1] == 3
-        assert colors.shape[2] == 4
+        assert colors.shape[2] in (1, 4)
 
         shape = points.shape
         points = points.reshape((shape[0] * shape[1], 2))
         tpoints = trans.transform(points)
         tpoints = tpoints.reshape(shape)
-        name = self.file.addGouraudTriangles(tpoints, colors)
-        self.check_gc(gc)
-        self.file.output(name, Op.shading)
+        name, _ = self.file.addGouraudTriangles(tpoints, colors)
+        output = self.file.output
+
+        if colors.shape[2] == 1:
+            # grayscale
+            gc.set_alpha(1.0)
+            self.check_gc(gc)
+            output(name, Op.shading)
+            return
+
+        alpha = colors[0, 0, 3]
+        if np.allclose(alpha, colors[:, :, 3]):
+            # single alpha value
+            gc.set_alpha(alpha)
+            self.check_gc(gc)
+            output(name, Op.shading)
+        else:
+            # varying alpha: use a soft mask
+            alpha = colors[:, :, 3][:, :, None]
+            _, smask_ob = self.file.addGouraudTriangles(tpoints, alpha)
+            gstate = self.file._soft_mask_state(smask_ob)
+            output(Op.gsave, gstate, Op.setgstate,
+                   name, Op.shading,
+                   Op.grestore)
 
     def _setup_textpos(self, x, y, angle, oldx=0, oldy=0, oldangle=0):
         if angle == oldangle == 0:
             self.file.output(x - oldx, y - oldy, Op.textpos)
         else:
-            angle = angle / 180.0 * pi
-            self.file.output(cos(angle), sin(angle),
-                             -sin(angle), cos(angle),
+            angle = math.radians(angle)
+            self.file.output(math.cos(angle), math.sin(angle),
+                             -math.sin(angle), math.cos(angle),
                              x, y, Op.textmatrix)
             self.file.output(0, 0, Op.textpos)
 
     def draw_mathtext(self, gc, x, y, s, prop, angle):
         # TODO: fix positioning and encoding
-        width, height, descent, glyphs, rects, used_characters = \
-            self.mathtext_parser.parse(s, 72, prop)
-        self.merge_used_characters(used_characters)
+        width, height, descent, glyphs, rects = \
+            self._text2path.mathtext_parser.parse(s, 72, prop)
 
-        # When using Type 3 fonts, we can't use character codes higher
-        # than 255, so we use the "Do" command to render those
-        # instead.
-        global_fonttype = rcParams['pdf.fonttype']
+        if gc.get_url() is not None:
+            self.file._annotations[-1][1].append(_get_link_annotation(
+                gc, x, y, width, height, angle))
+
+        fonttype = mpl.rcParams['pdf.fonttype']
 
         # Set up a global transformation matrix for the whole math expression
-        a = angle / 180.0 * pi
+        a = math.radians(angle)
         self.file.output(Op.gsave)
-        self.file.output(cos(a), sin(a), -sin(a), cos(a), x, y,
-                         Op.concat_matrix)
+        self.file.output(math.cos(a), math.sin(a),
+                         -math.sin(a), math.cos(a),
+                         x, y, Op.concat_matrix)
 
         self.check_gc(gc, gc._rgb)
-        self.file.output(Op.begin_text)
         prev_font = None, None
         oldx, oldy = 0, 0
-        for ox, oy, fontname, fontsize, num, symbol_name in glyphs:
-            if is_opentype_cff_font(fontname):
-                fonttype = 42
-            else:
-                fonttype = global_fonttype
+        unsupported_chars = []
 
-            if fonttype == 42 or num <= 255:
+        self.file.output(Op.begin_text)
+        for font, fontsize, num, ox, oy in glyphs:
+            self.file._character_tracker.track_glyph(font, num)
+            fontname = font.fname
+            if not _font_supports_glyph(fonttype, num):
+                # Unsupported chars (i.e. multibyte in Type 3 or beyond BMP in
+                # Type 42) must be emitted separately (below).
+                unsupported_chars.append((font, fontsize, ox, oy, num))
+            else:
                 self._setup_textpos(ox, oy, 0, oldx, oldy)
                 oldx, oldy = ox, oy
                 if (fontname, fontsize) != prev_font:
                     self.file.output(self.file.fontName(fontname), fontsize,
                                      Op.selectfont)
                     prev_font = fontname, fontsize
-                self.file.output(self.encode_string(unichr(num), fonttype),
+                self.file.output(self.encode_string(chr(num), fonttype),
                                  Op.show)
         self.file.output(Op.end_text)
 
-        # If using Type 3 fonts, render all of the multi-byte characters
-        # as XObjects using the 'Do' command.
-        if global_fonttype == 3:
-            for ox, oy, fontname, fontsize, num, symbol_name in glyphs:
-                if is_opentype_cff_font(fontname):
-                    fonttype = 42
-                else:
-                    fonttype = global_fonttype
-
-                if fonttype == 3 and num > 255:
-                    self.file.fontName(fontname)
-                    self.file.output(Op.gsave,
-                                     0.001 * fontsize, 0,
-                                     0, 0.001 * fontsize,
-                                     ox, oy, Op.concat_matrix)
-                    name = self.file._get_xobject_symbol_name(
-                        fontname, symbol_name)
-                    self.file.output(Name(name), Op.use_xobject)
-                    self.file.output(Op.grestore)
+        for font, fontsize, ox, oy, num in unsupported_chars:
+            self._draw_xobject_glyph(
+                font, fontsize, font.get_char_index(num), ox, oy)
 
         # Draw any horizontal lines in the math layout
         for ox, oy, width, height in rects:
@@ -1798,13 +2265,17 @@ def draw_mathtext(self, gc, x, y, s, prop, angle):
         # Pop off the global transformation
         self.file.output(Op.grestore)
 
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
         texmanager = self.get_texmanager()
         fontsize = prop.get_size_in_points()
         dvifile = texmanager.make_dvi(s, fontsize)
-        dvi = dviread.Dvi(dvifile, 72)
-        page = six.next(iter(dvi))
-        dvi.close()
+        with dviread.Dvi(dvifile, 72) as dvi:
+            page, = dvi
+
+        if gc.get_url() is not None:
+            self.file._annotations[-1][1].append(_get_link_annotation(
+                gc, x, y, page.width, page.height, angle))
 
         # Gather font information and do some setup for combining
         # characters into strings. The variable seq will contain a
@@ -1813,26 +2284,16 @@ def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
         # font. A text entry is ['text', x, y, glyphs, x+w] where x
         # and y are the starting coordinates, w is the width, and
         # glyphs is a list; in this phase it will always contain just
-        # one one-character string, but later it may have longer
+        # one single-character string, but later it may have longer
         # strings interspersed with kern amounts.
         oldfont, seq = None, []
         for x1, y1, dvifont, glyph, width in page.text:
             if dvifont != oldfont:
-                pdfname = self.file.fontName(dvifont.texname)
-                if dvifont.texname not in self.file.dviFontInfo:
-                    psfont = self.tex_font_mapping(dvifont.texname)
-                    self.file.dviFontInfo[dvifont.texname] = Bunch(
-                        fontfile=psfont.filename,
-                        basefont=psfont.psname,
-                        encodingfile=psfont.encoding,
-                        effects=psfont.effects,
-                        dvifont=dvifont)
+                pdfname = self.file.dviFontName(dvifont)
                 seq += [['font', pdfname, dvifont.size]]
                 oldfont = dvifont
-            # We need to convert the glyph numbers to bytes, and the easiest
-            # way to do this on both Python 2 and 3 is .encode('latin-1')
-            seq += [['text', x1, y1,
-                     [six.unichr(glyph).encode('latin-1')], x1+width]]
+            seq += [['text', x1, y1, [bytes([glyph])], x1+width]]
+            self.file._character_tracker.track(dvifont, chr(glyph))
 
         # Find consecutive text strings with constant y coordinate and
         # combine into a sequence of strings and kerns, or just one
@@ -1865,7 +2326,7 @@ def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
             if elt[0] == 'font':
                 self.file.output(elt[1], elt[2], Op.selectfont)
             elif elt[0] == 'text':
-                curx, cury = mytrans.transform_point((elt[1], elt[2]))
+                curx, cury = mytrans.transform((elt[1], elt[2]))
                 self._setup_textpos(curx, cury, angle, oldx, oldy)
                 oldx, oldy = curx, cury
                 if len(elt[3]) == 1:
@@ -1894,18 +2355,9 @@ def encode_string(self, s, fonttype):
         return s.encode('utf-16be', 'replace')
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        # TODO: combine consecutive texts into one BT/ET delimited section
+        # docstring inherited
 
-        # This function is rather complex, since there is no way to
-        # access characters of a Type 3 font with codes > 255.  (Type
-        # 3 fonts can not have a CIDMap).  Therefore, we break the
-        # string into chunks, where each chunk contains exclusively
-        # 1-byte or exclusively 2-byte characters, and output each
-        # chunk a separate command.  1-byte characters use the regular
-        # text show command (Tj), whereas 2-byte characters use the
-        # use XObject command (Do).  If using Type 42 fonts, all of
-        # this complication is avoided, but of course, those fonts can
-        # not be subsetted.
+        # TODO: combine consecutive texts into one BT/ET delimited section
 
         self.check_gc(gc, gc._rgb)
         if ismath:
@@ -1913,204 +2365,112 @@ def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
 
         fontsize = prop.get_size_in_points()
 
-        if rcParams['pdf.use14corefonts']:
+        if mpl.rcParams['pdf.use14corefonts']:
             font = self._get_font_afm(prop)
-            l, b, w, h = font.get_str_bbox(s)
             fonttype = 1
         else:
             font = self._get_font_ttf(prop)
-            self.track_characters(font, s)
-            font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
-
-            fonttype = rcParams['pdf.fonttype']
-
-            # We can't subset all OpenType fonts, so switch to Type 42
-            # in that case.
-            if is_opentype_cff_font(font.fname):
-                fonttype = 42
-
-        def check_simple_method(s):
-            """Determine if we should use the simple or woven method
-            to output this text, and chunks the string into 1-byte and
-            2-byte sections if necessary."""
-            use_simple_method = True
-            chunks = []
-
-            if not rcParams['pdf.use14corefonts']:
-                if fonttype == 3 and not isinstance(s, bytes) and len(s) != 0:
-                    # Break the string into chunks where each chunk is either
-                    # a string of chars <= 255, or a single character > 255.
-                    s = six.text_type(s)
-                    for c in s:
-                        if ord(c) <= 255:
-                            char_type = 1
-                        else:
-                            char_type = 2
-                        if len(chunks) and chunks[-1][0] == char_type:
-                            chunks[-1][1].append(c)
-                        else:
-                            chunks.append((char_type, [c]))
-                    use_simple_method = (len(chunks) == 1
-                                         and chunks[-1][0] == 1)
-            return use_simple_method, chunks
-
-        def draw_text_simple():
-            """Outputs text using the simple method."""
+            self.file._character_tracker.track(font, s)
+            fonttype = mpl.rcParams['pdf.fonttype']
+
+        if gc.get_url() is not None:
+            font.set_text(s)
+            width, height = font.get_width_height()
+            self.file._annotations[-1][1].append(_get_link_annotation(
+                gc, x, y, width / 64, height / 64, angle))
+
+        # If fonttype is neither 3 nor 42, emit the whole string at once
+        # without manual kerning.
+        if fonttype not in [3, 42]:
             self.file.output(Op.begin_text,
-                             self.file.fontName(prop),
-                             fontsize,
-                             Op.selectfont)
+                             self.file.fontName(prop), fontsize, Op.selectfont)
             self._setup_textpos(x, y, angle)
-            self.file.output(self.encode_string(s, fonttype), Op.show,
-                             Op.end_text)
-
-        def draw_text_woven(chunks):
-            """Outputs text using the woven method, alternating
-            between chunks of 1-byte characters and 2-byte characters.
-            Only used for Type 3 fonts."""
-            chunks = [(a, ''.join(b)) for a, b in chunks]
-            cmap = font.get_charmap()
-
+            self.file.output(self.encode_string(s, fonttype),
+                             Op.show, Op.end_text)
+
+        # A sequence of characters is broken into multiple chunks. The chunking
+        # serves two purposes:
+        #   - For Type 3 fonts, there is no way to access multibyte characters,
+        #     as they cannot have a CIDMap.  Therefore, in this case we break
+        #     the string into chunks, where each chunk contains either a string
+        #     of consecutive 1-byte characters or a single multibyte character.
+        #   - A sequence of 1-byte characters is split into chunks to allow for
+        #     kerning adjustments between consecutive chunks.
+        #
+        # Each chunk is emitted with a separate command: 1-byte characters use
+        # the regular text show command (TJ) with appropriate kerning between
+        # chunks, whereas multibyte characters use the XObject command (Do).
+        else:
+            # List of (ft_object, start_x, [prev_kern, char, char, ...]),
+            # w/o zero kerns.
+            singlebyte_chunks = []
+            # List of (ft_object, start_x, glyph_index).
+            multibyte_glyphs = []
+            prev_was_multibyte = True
+            prev_font = font
+            for item in _text_helpers.layout(s, font, kern_mode=Kerning.UNFITTED):
+                if _font_supports_glyph(fonttype, ord(item.char)):
+                    if prev_was_multibyte or item.ft_object != prev_font:
+                        singlebyte_chunks.append((item.ft_object, item.x, []))
+                        prev_font = item.ft_object
+                    if item.prev_kern:
+                        singlebyte_chunks[-1][2].append(item.prev_kern)
+                    singlebyte_chunks[-1][2].append(item.char)
+                    prev_was_multibyte = False
+                else:
+                    multibyte_glyphs.append((item.ft_object, item.x, item.glyph_idx))
+                    prev_was_multibyte = True
             # Do the rotation and global translation as a single matrix
             # concatenation up front
             self.file.output(Op.gsave)
-            a = angle / 180.0 * pi
-            self.file.output(cos(a), sin(a), -sin(a), cos(a), x, y,
-                             Op.concat_matrix)
-
-            # Output all the 1-byte characters in a BT/ET group, then
-            # output all the 2-byte characters.
-            for mode in (1, 2):
-                newx = oldx = 0
-                # Output a 1-byte character chunk
-                if mode == 1:
-                    self.file.output(Op.begin_text,
-                                     self.file.fontName(prop),
-                                     fontsize,
-                                     Op.selectfont)
-
-                for chunk_type, chunk in chunks:
-                    if mode == 1 and chunk_type == 1:
-                        self._setup_textpos(newx, 0, 0, oldx, 0, 0)
-                        self.file.output(self.encode_string(chunk, fonttype),
-                                         Op.show)
-                        oldx = newx
-
-                    lastgind = None
-                    for c in chunk:
-                        ccode = ord(c)
-                        gind = cmap.get(ccode)
-                        if gind is not None:
-                            if mode == 2 and chunk_type == 2:
-                                glyph_name = font.get_glyph_name(gind)
-                                self.file.output(Op.gsave)
-                                self.file.output(0.001 * fontsize, 0,
-                                                 0, 0.001 * fontsize,
-                                                 newx, 0, Op.concat_matrix)
-                                name = self.file._get_xobject_symbol_name(
-                                    font.fname, glyph_name)
-                                self.file.output(Name(name), Op.use_xobject)
-                                self.file.output(Op.grestore)
-
-                            # Move the pointer based on the character width
-                            # and kerning
-                            glyph = font.load_char(ccode,
-                                                   flags=LOAD_NO_HINTING)
-                            if lastgind is not None:
-                                kern = font.get_kerning(
-                                    lastgind, gind, KERNING_UNFITTED)
-                            else:
-                                kern = 0
-                            lastgind = gind
-                            newx += kern/64.0 + glyph.linearHoriAdvance/65536.0
-
-                if mode == 1:
-                    self.file.output(Op.end_text)
-
+            a = math.radians(angle)
+            self.file.output(math.cos(a), math.sin(a),
+                             -math.sin(a), math.cos(a),
+                             x, y, Op.concat_matrix)
+            # Emit all the 1-byte characters in a BT/ET group.
+
+            self.file.output(Op.begin_text)
+            prev_start_x = 0
+            for ft_object, start_x, kerns_or_chars in singlebyte_chunks:
+                ft_name = self.file.fontName(ft_object.fname)
+                self.file.output(ft_name, fontsize, Op.selectfont)
+                self._setup_textpos(start_x, 0, 0, prev_start_x, 0, 0)
+                self.file.output(
+                    # See pdf spec "Text space details" for the 1000/fontsize
+                    # (aka. 1000/T_fs) factor.
+                    [-1000 * next(group) / fontsize if tp == float  # a kern
+                     else self.encode_string("".join(group), fonttype)
+                     for tp, group in itertools.groupby(kerns_or_chars, type)],
+                    Op.showkern)
+                prev_start_x = start_x
+            self.file.output(Op.end_text)
+            # Then emit all the multibyte characters, one at a time.
+            for ft_object, start_x, glyph_idx in multibyte_glyphs:
+                self._draw_xobject_glyph(
+                    ft_object, fontsize, glyph_idx, start_x, 0
+                )
             self.file.output(Op.grestore)
 
-        use_simple_method, chunks = check_simple_method(s)
-        if use_simple_method:
-            return draw_text_simple()
-        else:
-            return draw_text_woven(chunks)
-
-    def get_text_width_height_descent(self, s, prop, ismath):
-        if rcParams['text.usetex']:
-            texmanager = self.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=self)
-            return w, h, d
-
-        if ismath:
-            w, h, d, glyphs, rects, used_characters = \
-                self.mathtext_parser.parse(s, 72, prop)
-
-        elif rcParams['pdf.use14corefonts']:
-            font = self._get_font_afm(prop)
-            l, b, w, h, d = font.get_str_bbox_and_descent(s)
-            scale = prop.get_size_in_points()
-            w *= scale / 1000
-            h *= scale / 1000
-            d *= scale / 1000
-        else:
-            font = self._get_font_ttf(prop)
-            font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
-            w, h = font.get_width_height()
-            scale = (1.0 / 64.0)
-            w *= scale
-            h *= scale
-            d = font.get_descent()
-            d *= scale
-        return w, h, d
-
-    def _get_font_afm(self, prop):
-        key = hash(prop)
-        font = self.afm_font_cache.get(key)
-        if font is None:
-            filename = findfont(
-                prop, fontext='afm', directory=self.file._core14fontdir)
-            if filename is None:
-                filename = findfont(
-                    "Helvetica", fontext='afm',
-                    directory=self.file._core14fontdir)
-            font = self.afm_font_cache.get(filename)
-            if font is None:
-                with open(filename, 'rb') as fh:
-                    font = AFM(fh)
-                    self.afm_font_cache[filename] = font
-            self.afm_font_cache[key] = font
-        return font
-
-    def _get_font_ttf(self, prop):
-        key = hash(prop)
-        font = self.truetype_font_cache.get(key)
-        if font is None:
-            filename = findfont(prop)
-            font = self.truetype_font_cache.get(filename)
-            if font is None:
-                font = FT2Font(filename)
-                self.truetype_font_cache[filename] = font
-            self.truetype_font_cache[key] = font
-        font.clear()
-        font.set_size(prop.get_size_in_points(), 72)
-        return font
-
-    def flipy(self):
-        return False
-
-    def get_canvas_width_height(self):
-        return self.file.width / 72.0, self.file.height / 72.0
+    def _draw_xobject_glyph(self, font, fontsize, glyph_idx, x, y):
+        """Draw a multibyte character from a Type 3 font as an XObject."""
+        glyph_name = font.get_glyph_name(glyph_idx)
+        name = self.file._get_xobject_glyph_name(font.fname, glyph_name)
+        self.file.output(
+            Op.gsave,
+            0.001 * fontsize, 0, 0, 0.001 * fontsize, x, y, Op.concat_matrix,
+            Name(name), Op.use_xobject,
+            Op.grestore,
+        )
 
     def new_gc(self):
+        # docstring inherited
         return GraphicsContextPdf(self.file)
 
 
 class GraphicsContextPdf(GraphicsContextBase):
 
     def __init__(self, file):
-        GraphicsContextBase.__init__(self)
+        super().__init__()
         self._fillcolor = (0.0, 0.0, 0.0)
         self._effective_alphas = (1.0, 1.0)
         self.file = file
@@ -2122,7 +2482,7 @@ def __repr__(self):
         del d['parent']
         return repr(d)
 
-    def strokep(self):
+    def stroke(self):
         """
         Predicate: does the path need to be stroked (its outline drawn)?
         This tests for the various conditions that disable stroking
@@ -2133,7 +2493,7 @@ def strokep(self):
         return (self._linewidth > 0 and self._alpha > 0 and
                 (len(self._rgb) <= 3 or self._rgb[3] != 0.0))
 
-    def fillp(self, *args):
+    def fill(self, *args):
         """
         Predicate: does the path need to be filled?
 
@@ -2148,19 +2508,12 @@ def fillp(self, *args):
                 (_fillcolor is not None and
                  (len(_fillcolor) <= 3 or _fillcolor[3] != 0.0)))
 
-    def close_and_paint(self):
-        """
-        Return the appropriate pdf operator to close the path and
-        cause it to be stroked, filled, or both.
-        """
-        return Op.paint_path(True, self.fillp(), self.strokep())
-
     def paint(self):
         """
         Return the appropriate pdf operator to cause the path to be
         stroked, filled, or both.
         """
-        return Op.paint_path(False, self.fillp(), self.strokep())
+        return Op.paint_path(self.fill(), self.stroke())
 
     capstyles = {'butt': 0, 'round': 1, 'projecting': 2}
     joinstyles = {'miter': 0, 'round': 1, 'bevel': 2}
@@ -2185,33 +2538,33 @@ def alpha_cmd(self, alpha, forced, effective_alphas):
         name = self.file.alphaState(effective_alphas)
         return [name, Op.setgstate]
 
-    def hatch_cmd(self, hatch):
+    def hatch_cmd(self, hatch, hatch_color, hatch_linewidth):
         if not hatch:
             if self._fillcolor is not None:
                 return self.fillcolor_cmd(self._fillcolor)
             else:
                 return [Name('DeviceRGB'), Op.setcolorspace_nonstroke]
         else:
-            hatch_style = (self._rgb, self._fillcolor, hatch)
+            hatch_style = (hatch_color, self._fillcolor, hatch, hatch_linewidth)
             name = self.file.hatchPattern(hatch_style)
             return [Name('Pattern'), Op.setcolorspace_nonstroke,
                     name, Op.setcolor_nonstroke]
 
     def rgb_cmd(self, rgb):
-        if rcParams['pdf.inheritcolor']:
+        if mpl.rcParams['pdf.inheritcolor']:
             return []
         if rgb[0] == rgb[1] == rgb[2]:
             return [rgb[0], Op.setgray_stroke]
         else:
-            return list(rgb[:3]) + [Op.setrgb_stroke]
+            return [*rgb[:3], Op.setrgb_stroke]
 
     def fillcolor_cmd(self, rgb):
-        if rgb is None or rcParams['pdf.inheritcolor']:
+        if rgb is None or mpl.rcParams['pdf.inheritcolor']:
             return []
         elif rgb[0] == rgb[1] == rgb[2]:
             return [rgb[0], Op.setgray_nonstroke]
         else:
-            return list(rgb[:3]) + [Op.setrgb_nonstroke]
+            return [*rgb[:3], Op.setrgb_nonstroke]
 
     def push(self):
         parent = GraphicsContextPdf(self.file)
@@ -2227,7 +2580,7 @@ def pop(self):
         return [Op.grestore]
 
     def clip_cmd(self, cliprect, clippath):
-        """Set clip rectangle. Calls self.pop() and self.push()."""
+        """Set clip rectangle. Calls `.pop()` and `.push()`."""
         cmds = []
         # Pop graphics state until we hit the right one or the stack is empty
         while ((self._cliprect, self._clippath) != (cliprect, clippath)
@@ -2235,7 +2588,7 @@ def clip_cmd(self, cliprect, clippath):
             cmds.extend(self.pop())
         # Unless we hit the right one, set the clip polygon
         if ((self._cliprect, self._clippath) != (cliprect, clippath) or
-            self.parent is None):
+                self.parent is None):
             cmds.extend(self.push())
             if self._cliprect != cliprect:
                 cmds.extend([cliprect, Op.rectangle, Op.clip, Op.endpath])
@@ -2256,28 +2609,31 @@ def clip_cmd(self, cliprect, clippath):
         (('_linewidth',), linewidth_cmd),
         (('_dashes',), dash_cmd),
         (('_rgb',), rgb_cmd),
-        (('_hatch',), hatch_cmd),  # must come after fillcolor and rgb
-        )
-
-    # TODO: _linestyle
+        # must come after fillcolor and rgb
+        (('_hatch', '_hatch_color', '_hatch_linewidth'), hatch_cmd),
+    )
 
     def delta(self, other):
         """
         Copy properties of other into self and return PDF commands
-        needed to transform self into other.
+        needed to transform *self* into *other*.
         """
         cmds = []
+        fill_performed = False
         for params, cmd in self.commands:
             different = False
             for p in params:
                 ours = getattr(self, p)
                 theirs = getattr(other, p)
                 try:
-                    if (ours is None or theirs is None):
-                        different = bool(not(ours is theirs))
+                    if ours is None or theirs is None:
+                        different = ours is not theirs
                     else:
                         different = bool(ours != theirs)
-                except ValueError:
+                except (ValueError, DeprecationWarning):
+                    # numpy version < 1.25 raises DeprecationWarning when array shapes
+                    # mismatch, unlike numpy >= 1.25 which raises ValueError.
+                    # This should be removed when numpy < 1.25 is no longer supported.
                     ours = np.asarray(ours)
                     theirs = np.asarray(theirs)
                     different = (ours.shape != theirs.shape or
@@ -2285,7 +2641,13 @@ def delta(self, other):
                 if different:
                     break
 
+            # Need to update hatching if we also updated fillcolor
+            if cmd.__name__ == 'hatch_cmd' and fill_performed:
+                different = True
+
             if different:
+                if cmd.__name__ == 'fillcolor_cmd':
+                    fill_performed = True
                 theirs = [getattr(other, p) for p in params]
                 cmds.extend(cmd(self, *theirs))
                 for p in params:
@@ -2296,7 +2658,7 @@ def copy_properties(self, other):
         """
         Copy properties of other into self.
         """
-        GraphicsContextBase.copy_properties(self, other)
+        super().copy_properties(other)
         fillcolor = getattr(other, '_fillcolor', self._fillcolor)
         effective_alphas = getattr(other, '_effective_alphas',
                                    self._effective_alphas)
@@ -2312,43 +2674,13 @@ def finalize(self):
             cmds.extend(self.pop())
         return cmds
 
-########################################################################
-#
-# The following functions and classes are for pylab and implement
-# window/figure managers, etc...
-#
-########################################################################
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    # if a main-level app must be created, this is the usual place to
-    # do it -- see backend_wx, backend_wxagg and backend_tkagg for
-    # examples.  Not all GUIs require explicit instantiation of a
-    # main-level app (egg backend_gtk, backend_gtkagg) for pylab
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
 
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasPdf(figure)
-    manager = FigureManagerPdf(canvas, num)
-    return manager
-
-
-class PdfPages(object):
+class PdfPages:
     """
     A multi-page PDF file.
 
     Examples
     --------
-
     >>> import matplotlib.pyplot as plt
     >>> # Initialize:
     >>> with PdfPages('foo.pdf') as pdf:
@@ -2360,30 +2692,36 @@ class PdfPages(object):
 
     Notes
     -----
-
-    In reality :class:`PdfPages` is a thin wrapper around :class:`PdfFile`, in
-    order to avoid confusion when using :func:`~matplotlib.pyplot.savefig` and
-    forgetting the format argument.
+    In reality `PdfPages` is a thin wrapper around `PdfFile`, in order to avoid
+    confusion when using `~.pyplot.savefig` and forgetting the format argument.
     """
-    __slots__ = ('_file', 'keep_empty')
 
-    def __init__(self, filename, keep_empty=True):
+    @_api.delete_parameter("3.10", "keep_empty",
+                           addendum="This parameter does nothing.")
+    def __init__(self, filename, keep_empty=None, metadata=None):
         """
         Create a new PdfPages object.
 
         Parameters
         ----------
-
-        filename: str
-            Plots using :meth:`PdfPages.savefig` will be written to a file at
-            this location. The file is opened at once and any older file with
-            the same name is overwritten.
-        keep_empty: bool, optional
-            If set to False, then empty pdf files will be deleted automatically
-            when closed.
+        filename : str or path-like or file-like
+            Plots using `PdfPages.savefig` will be written to a file at this location.
+            The file is opened when a figure is saved for the first time (overwriting
+            any older file with the same name).
+
+        metadata : dict, optional
+            Information dictionary object (see PDF reference section 10.2.1
+            'Document Information Dictionary'), e.g.:
+            ``{'Creator': 'My software', 'Author': 'Me', 'Title': 'Awesome'}``.
+
+            The standard keys are 'Title', 'Author', 'Subject', 'Keywords',
+            'Creator', 'Producer', 'CreationDate', 'ModDate', and
+            'Trapped'. Values have been predefined for 'Creator', 'Producer'
+            and 'CreationDate'. They can be removed by setting them to `None`.
         """
-        self._file = PdfFile(filename)
-        self.keep_empty = keep_empty
+        self._filename = filename
+        self._metadata = metadata
+        self._file = None
 
     def __enter__(self):
         return self
@@ -2391,16 +2729,20 @@ def __enter__(self):
     def __exit__(self, exc_type, exc_val, exc_tb):
         self.close()
 
+    def _ensure_file(self):
+        if self._file is None:
+            self._file = PdfFile(self._filename, metadata=self._metadata)  # init.
+        return self._file
+
     def close(self):
         """
         Finalize this object, making the underlying file a complete
         PDF file.
         """
-        self._file.close()
-        if (self.get_pagecount() == 0 and not self.keep_empty
-                and not self._file.passed_in_file_object):
-            os.remove(self._file.fh.name)
-        self._file = None
+        if self._file is not None:
+            self._file.finalize()
+            self._file.close()
+            self._file = None
 
     def infodict(self):
         """
@@ -2408,91 +2750,87 @@ def infodict(self):
         (see PDF reference section 10.2.1 'Document Information
         Dictionary').
         """
-        return self._file.infoDict
+        return self._ensure_file().infoDict
 
     def savefig(self, figure=None, **kwargs):
         """
-        Saves a :class:`~matplotlib.figure.Figure` to this file as a new page.
+        Save a `.Figure` to this file as a new page.
 
-        Any other keyword arguments are passed to
-        :meth:`~matplotlib.figure.Figure.savefig`.
+        Any other keyword arguments are passed to `~.Figure.savefig`.
 
         Parameters
         ----------
-
-        figure: :class:`~matplotlib.figure.Figure` or int, optional
-            Specifies what figure is saved to file. If not specified, the
-            active figure is saved. If a :class:`~matplotlib.figure.Figure`
-            instance is provided, this figure is saved. If an int is specified,
-            the figure instance to save is looked up by number.
+        figure : `.Figure` or int, default: the active figure
+            The figure, or index of the figure, that is saved to the file.
         """
-        if isinstance(figure, Figure):
-            figure.savefig(self, format='pdf', **kwargs)
-        else:
+        if not isinstance(figure, Figure):
             if figure is None:
-                figureManager = Gcf.get_active()
+                manager = Gcf.get_active()
             else:
-                figureManager = Gcf.get_fig_manager(figure)
-            if figureManager is None:
-                raise ValueError("No such figure: " + repr(figure))
-            else:
-                figureManager.canvas.figure.savefig(self, format='pdf',
-                                                    **kwargs)
+                manager = Gcf.get_fig_manager(figure)
+            if manager is None:
+                raise ValueError(f"No figure {figure}")
+            figure = manager.canvas.figure
+        # Force use of pdf backend, as PdfPages is tightly coupled with it.
+        figure.savefig(self, format="pdf", backend="pdf", **kwargs)
 
     def get_pagecount(self):
+        """Return the current number of pages in the multipage pdf file."""
+        return len(self._ensure_file().pageList)
+
+    def attach_note(self, text, positionRect=[-100, -100, 0, 0]):
         """
-        Returns the current number of pages in the multipage pdf file.
+        Add a new text note to the page to be saved next. The optional
+        positionRect specifies the position of the new note on the
+        page. It is outside the page per default to make sure it is
+        invisible on printouts.
         """
-        return len(self._file.pageList)
+        self._ensure_file().newTextnote(text, positionRect)
 
 
 class FigureCanvasPdf(FigureCanvasBase):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
-
-    Public attribute
-
-      figure - A Figure instance
-    """
+    # docstring inherited
 
     fixed_dpi = 72
-
-    def draw(self):
-        pass
-
     filetypes = {'pdf': 'Portable Document Format'}
 
     def get_default_filetype(self):
         return 'pdf'
 
-    def print_pdf(self, filename, **kwargs):
-        image_dpi = kwargs.get('dpi', 72)  # dpi to use for images
-        self.figure.set_dpi(72)            # there are 72 pdf points to an inch
+    def print_pdf(self, filename, *,
+                  bbox_inches_restore=None, metadata=None):
+
+        dpi = self.figure.dpi
+        self.figure.dpi = 72  # there are 72 pdf points to an inch
         width, height = self.figure.get_size_inches()
         if isinstance(filename, PdfPages):
-            file = filename._file
+            file = filename._ensure_file()
         else:
-            file = PdfFile(filename)
+            file = PdfFile(filename, metadata=metadata)
         try:
             file.newPage(width, height)
-            _bbox_inches_restore = kwargs.pop("bbox_inches_restore", None)
             renderer = MixedModeRenderer(
-                self.figure, width, height, image_dpi,
-                RendererPdf(file, image_dpi),
-                bbox_inches_restore=_bbox_inches_restore)
+                self.figure, width, height, dpi,
+                RendererPdf(file, dpi, height, width),
+                bbox_inches_restore=bbox_inches_restore)
             self.figure.draw(renderer)
             renderer.finalize()
+            if not isinstance(filename, PdfPages):
+                file.finalize()
         finally:
             if isinstance(filename, PdfPages):  # finish off this page
                 file.endStream()
             else:            # we opened the file above; now finish it off
                 file.close()
 
+    def draw(self):
+        self.figure.draw_without_rendering()
+        return super().draw()
+
 
-class FigureManagerPdf(FigureManagerBase):
-    pass
+FigureManagerPdf = FigureManagerBase
 
 
-FigureCanvas = FigureCanvasPdf
-FigureManager = FigureManagerPdf
+@_Backend.export
+class _BackendPdf(_Backend):
+    FigureCanvas = FigureCanvasPdf
diff --git a/lib/matplotlib/backends/backend_pgf.py b/lib/matplotlib/backends/backend_pgf.py
index 915ad597bd6b..48b6e8ac152c 100644
--- a/lib/matplotlib/backends/backend_pgf.py
+++ b/lib/matplotlib/backends/backend_pgf.py
@@ -1,149 +1,110 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import codecs
+import datetime
+import functools
+from io import BytesIO
+import logging
 import math
 import os
-import sys
-import re
+import pathlib
 import shutil
-import tempfile
-import codecs
-import atexit
+import subprocess
+from tempfile import TemporaryDirectory
 import weakref
-import warnings
 
-import numpy as np
+from PIL import Image
 
 import matplotlib as mpl
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-    FigureManagerBase, FigureCanvasBase
+from matplotlib import cbook, font_manager as fm
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, RendererBase
+)
 from matplotlib.backends.backend_mixed import MixedModeRenderer
-from matplotlib.figure import Figure
-from matplotlib.text import Text
+from matplotlib.backends.backend_pdf import (
+    _create_pdf_info_dict, _datetime_to_pdf)
 from matplotlib.path import Path
-from matplotlib import _png, rcParams
-from matplotlib.cbook import is_string_like, is_writable_file_like
-from matplotlib.compat import subprocess
-from matplotlib.compat.subprocess import check_output
-
-
-###############################################################################
-
-# create a list of system fonts, all of these should work with xe/lua-latex
-system_fonts = []
-if sys.platform.startswith('win'):
-    from matplotlib import font_manager
-    from matplotlib.ft2font import FT2Font
-    for f in font_manager.win32InstalledFonts():
-        try:
-            system_fonts.append(FT2Font(str(f)).family_name)
-        except:
-            pass # unknown error, skip this font
-else:
-    # assuming fontconfig is installed and the command 'fc-list' exists
-    try:
-        # list scalable (non-bitmap) fonts
-        fc_list = check_output(['fc-list', ':outline,scalable', 'family'])
-        fc_list = fc_list.decode('utf8')
-        system_fonts = [f.split(',')[0] for f in fc_list.splitlines()]
-        system_fonts = list(set(system_fonts))
-    except:
-        warnings.warn('error getting fonts from fc-list', UserWarning)
-
-def get_texcommand():
-    """Get chosen TeX system from rc."""
-    texsystem_options = ["xelatex", "lualatex", "pdflatex"]
-    texsystem = rcParams.get("pgf.texsystem", "xelatex")
-    return texsystem if texsystem in texsystem_options else "xelatex"
-
-
-def get_fontspec():
-    """Build fontspec preamble from rc."""
-    latex_fontspec = []
-    texcommand = get_texcommand()
-
-    if texcommand != "pdflatex":
-        latex_fontspec.append("\\usepackage{fontspec}")
-
-    if texcommand != "pdflatex" and rcParams.get("pgf.rcfonts", True):
-        # try to find fonts from rc parameters
-        families = ["serif", "sans-serif", "monospace"]
-        fontspecs = [r"\setmainfont{%s}", r"\setsansfont{%s}",
-                     r"\setmonofont{%s}"]
-        for family, fontspec in zip(families, fontspecs):
-            matches = [f for f in rcParams["font." + family]
-                       if f in system_fonts]
-            if matches:
-                latex_fontspec.append(fontspec % matches[0])
-            else:
-                pass  # no fonts found, fallback to LaTeX defaule
-
-    return "\n".join(latex_fontspec)
-
-
-def get_preamble():
-    """Get LaTeX preamble from rc."""
-    latex_preamble = rcParams.get("pgf.preamble", "")
-    if type(latex_preamble) == list:
-        latex_preamble = "\n".join(latex_preamble)
-    return latex_preamble
-
-###############################################################################
-
-# This almost made me cry!!!
-# In the end, it's better to use only one unit for all coordinates, since the
+from matplotlib.figure import Figure
+from matplotlib.font_manager import FontProperties
+from matplotlib._pylab_helpers import Gcf
+
+_log = logging.getLogger(__name__)
+
+
+_DOCUMENTCLASS = r"\documentclass{article}"
+
+
+# Note: When formatting floating point values, it is important to use the
+# %f/{:f} format rather than %s/{} to avoid triggering scientific notation,
+# which is not recognized by TeX.
+
+def _get_preamble():
+    """Prepare a LaTeX preamble based on the rcParams configuration."""
+    font_size_pt = FontProperties(
+        size=mpl.rcParams["font.size"]
+    ).get_size_in_points()
+    return "\n".join([
+        # Remove Matplotlib's custom command \mathdefault.  (Not using
+        # \mathnormal instead since this looks odd with Computer Modern.)
+        r"\def\mathdefault#1{#1}",
+        # Use displaystyle for all math.
+        r"\everymath=\expandafter{\the\everymath\displaystyle}",
+        # Set up font sizes to match font.size setting.
+        # If present, use the KOMA package scrextend to adjust the standard
+        # LaTeX font commands (\tiny, ..., \normalsize, ..., \Huge) accordingly.
+        # Otherwise, only set \normalsize, manually.
+        r"\IfFileExists{scrextend.sty}{",
+        r"  \usepackage[fontsize=%fpt]{scrextend}" % font_size_pt,
+        r"}{",
+        r"  \renewcommand{\normalsize}{\fontsize{%f}{%f}\selectfont}"
+        % (font_size_pt, 1.2 * font_size_pt),
+        r"  \normalsize",
+        r"}",
+        # Allow pgf.preamble to override the above definitions.
+        mpl.rcParams["pgf.preamble"],
+        *([
+            r"\ifdefined\pdftexversion\else  % non-pdftex case.",
+            r"  \usepackage{fontspec}",
+        ] + [
+            r"  \%s{%s}[Path=\detokenize{%s/}]"
+            % (command, path.name, path.parent.as_posix())
+            for command, path in zip(
+                ["setmainfont", "setsansfont", "setmonofont"],
+                [pathlib.Path(fm.findfont(family))
+                 for family in ["serif", "sans\\-serif", "monospace"]]
+            )
+        ] + [r"\fi"] if mpl.rcParams["pgf.rcfonts"] else []),
+        # Documented as "must come last".
+        mpl.texmanager._usepackage_if_not_loaded("underscore", option="strings"),
+    ])
+
+
+# It's better to use only one unit for all coordinates, since the
 # arithmetic in latex seems to produce inaccurate conversions.
 latex_pt_to_in = 1. / 72.27
 latex_in_to_pt = 1. / latex_pt_to_in
 mpl_pt_to_in = 1. / 72.
 mpl_in_to_pt = 1. / mpl_pt_to_in
 
-###############################################################################
-# helper functions
-
-NO_ESCAPE = r"(?<!\\)(?:\\\\)*"
-re_mathsep = re.compile(NO_ESCAPE + r"\$")
-re_escapetext = re.compile(NO_ESCAPE + "([_^$%])")
-repl_escapetext = lambda m: "\\" + m.group(1)
-re_mathdefault = re.compile(NO_ESCAPE + r"(\\mathdefault)")
-repl_mathdefault = lambda m: m.group(0)[:-len(m.group(1))]
-
 
-def common_texification(text):
-    """
+def _tex_escape(text):
+    r"""
     Do some necessary and/or useful substitutions for texts to be included in
     LaTeX documents.
     """
-
-    # Sometimes, matplotlib adds the unknown command \mathdefault.
-    # Not using \mathnormal instead since this looks odd for the latex cm font.
-    text = re_mathdefault.sub(repl_mathdefault, text)
-
-    # split text into normaltext and inline math parts
-    parts = re_mathsep.split(text)
-    for i, s in enumerate(parts):
-        if not i % 2:
-            # textmode replacements
-            s = re_escapetext.sub(repl_escapetext, s)
-        else:
-            # mathmode replacements
-            s = r"\(\displaystyle %s\)" % s
-        parts[i] = s
-
-    return "".join(parts)
+    return text.replace("\N{MINUS SIGN}", r"\ensuremath{-}")
 
 
-def writeln(fh, line):
-    # every line of a file included with \input must be terminated with %
-    # if not, latex will create additional vertical spaces for some reason
+def _writeln(fh, line):
+    # Ending lines with a % prevents TeX from inserting spurious spaces
+    # (https://tex.stackexchange.com/questions/7453).
     fh.write(line)
     fh.write("%\n")
 
 
-def _font_properties_str(prop):
-    # translate font properties to latex commands, return as string
+def _escape_and_apply_props(s, prop):
+    """
+    Generate a TeX string that renders string *s* with font properties *prop*,
+    also applying any required escapes to *s*.
+    """
     commands = []
 
     families = {"serif": r"\rmfamily", "sans": r"\sffamily",
@@ -151,10 +112,13 @@ def _font_properties_str(prop):
     family = prop.get_family()[0]
     if family in families:
         commands.append(families[family])
-    elif family in system_fonts and get_texcommand() != "pdflatex":
-        commands.append(r"\setmainfont{%s}\rmfamily" % family)
+    elif not mpl.rcParams["pgf.rcfonts"]:
+        commands.append(r"\fontfamily{\familydefault}")
+    elif any(font.name == family for font in fm.fontManager.ttflist):
+        commands.append(
+            r"\ifdefined\pdftexversion\else\setmainfont{%s}\rmfamily\fi" % family)
     else:
-        pass  # print warning?
+        _log.warning("Ignoring unknown font: %s", family)
 
     size = prop.get_size_in_points()
     commands.append(r"\fontsize{%f}{%f}" % (size, size * 1.2))
@@ -168,274 +132,263 @@ def _font_properties_str(prop):
         commands.append(r"\bfseries")
 
     commands.append(r"\selectfont")
-    return "".join(commands)
+    return (
+        "{"
+        + "".join(commands)
+        + r"\catcode`\^=\active\def^{\ifmmode\sp\else\^{}\fi}"
+        # It should normally be enough to set the catcode of % to 12 ("normal
+        # character"); this works on TeXLive 2021 but not on 2018, so we just
+        # make it active too.
+        + r"\catcode`\%=\active\def%{\%}"
+        + _tex_escape(s)
+        + "}"
+    )
+
+
+def _metadata_to_str(key, value):
+    """Convert metadata key/value to a form that hyperref accepts."""
+    if isinstance(value, datetime.datetime):
+        value = _datetime_to_pdf(value)
+    elif key == 'Trapped':
+        value = value.name.decode('ascii')
+    else:
+        value = str(value)
+    return f'{key}={{{value}}}'
 
 
 def make_pdf_to_png_converter():
-    """
-    Returns a function that converts a pdf file to a png file.
-    """
-
-    tools_available = []
-    # check for pdftocairo
+    """Return a function that converts a pdf file to a png file."""
+    try:
+        mpl._get_executable_info("pdftocairo")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        return lambda pdffile, pngfile, dpi: subprocess.check_output(
+            ["pdftocairo", "-singlefile", "-transp", "-png", "-r", "%d" % dpi,
+             pdffile, os.path.splitext(pngfile)[0]],
+            stderr=subprocess.STDOUT)
     try:
-        check_output(["pdftocairo", "-v"], stderr=subprocess.STDOUT)
-        tools_available.append("pdftocairo")
-    except:
+        gs_info = mpl._get_executable_info("gs")
+    except mpl.ExecutableNotFoundError:
         pass
-    # check for ghostscript
-    gs, ver = mpl.checkdep_ghostscript()
-    if gs:
-        tools_available.append("gs")
-
-    # pick converter
-    if "pdftocairo" in tools_available:
-        def cairo_convert(pdffile, pngfile, dpi):
-            cmd = ["pdftocairo", "-singlefile", "-png",
-                   "-r %d" % dpi, pdffile, os.path.splitext(pngfile)[0]]
-            # for some reason this doesn't work without shell
-            check_output(" ".join(cmd), shell=True, stderr=subprocess.STDOUT)
-        return cairo_convert
-    elif "gs" in tools_available:
-        def gs_convert(pdffile, pngfile, dpi):
-            cmd = [gs, '-dQUIET', '-dSAFER', '-dBATCH', '-dNOPAUSE', '-dNOPROMPT',
-                   '-sDEVICE=png16m', '-dUseCIEColor', '-dTextAlphaBits=4',
-                   '-dGraphicsAlphaBits=4', '-dDOINTERPOLATE', '-sOutputFile=%s' % pngfile,
-                   '-r%d' % dpi, pdffile]
-            check_output(cmd, stderr=subprocess.STDOUT)
-        return gs_convert
     else:
-        raise RuntimeError("No suitable pdf to png renderer found.")
+        return lambda pdffile, pngfile, dpi: subprocess.check_output(
+            [gs_info.executable,
+             '-dQUIET', '-dSAFER', '-dBATCH', '-dNOPAUSE', '-dNOPROMPT',
+             '-dUseCIEColor', '-dTextAlphaBits=4',
+             '-dGraphicsAlphaBits=4', '-dDOINTERPOLATE',
+             '-sDEVICE=pngalpha', '-sOutputFile=%s' % pngfile,
+             '-r%d' % dpi, pdffile],
+            stderr=subprocess.STDOUT)
+    raise RuntimeError("No suitable pdf to png renderer found.")
 
 
 class LatexError(Exception):
     def __init__(self, message, latex_output=""):
-        Exception.__init__(self, message)
+        super().__init__(message)
         self.latex_output = latex_output
 
+    def __str__(self):
+        s, = self.args
+        if self.latex_output:
+            s += "\n" + self.latex_output
+        return s
 
-class LatexManagerFactory(object):
-    previous_instance = None
-
-    @staticmethod
-    def get_latex_manager():
-        texcommand = get_texcommand()
-        latex_header = LatexManager._build_latex_header()
-        prev = LatexManagerFactory.previous_instance
-
-        # check if the previous instance of LatexManager can be reused
-        if prev and prev.latex_header == latex_header and prev.texcommand == texcommand:
-            if rcParams.get("pgf.debug", False):
-                print("reusing LatexManager")
-            return prev
-        else:
-            if rcParams.get("pgf.debug", False):
-                print("creating LatexManager")
-            new_inst = LatexManager()
-            LatexManagerFactory.previous_instance = new_inst
-            return new_inst
-
-class WeakSet(object):
-    # TODO: Poor man's weakref.WeakSet.
-    #       Remove this once python 2.6 support is dropped from matplotlib.
 
-    def __init__(self):
-        self.weak_key_dict = weakref.WeakKeyDictionary()
-
-    def add(self, item):
-        self.weak_key_dict[item] = None
-
-    def discard(self, item):
-        if item in self.weak_key_dict:
-            del self.weak_key_dict[item]
-
-    def __iter__(self):
-        return six.iterkeys(self.weak_key_dict)
-
-
-class LatexManager(object):
+class LatexManager:
     """
     The LatexManager opens an instance of the LaTeX application for
     determining the metrics of text elements. The LaTeX environment can be
-    modified by setting fonts and/or a custem preamble in the rc parameters.
+    modified by setting fonts and/or a custom preamble in `.rcParams`.
     """
-    _unclean_instances = WeakSet()
 
     @staticmethod
     def _build_latex_header():
-        latex_preamble = get_preamble()
-        latex_fontspec = get_fontspec()
-        # Create LaTeX header with some content, else LaTeX will load some
-        # math fonts later when we don't expect the additional output on stdout.
-        # TODO: is this sufficient?
-        latex_header = [r"\documentclass{minimal}",
-                        latex_preamble,
-                        latex_fontspec,
-                        r"\begin{document}",
-                        r"text $math \mu$",  # force latex to load fonts now
-                        r"\typeout{pgf_backend_query_start}"]
+        latex_header = [
+            _DOCUMENTCLASS,
+            # Include TeX program name as a comment for cache invalidation.
+            # TeX does not allow this to be the first line.
+            rf"% !TeX program = {mpl.rcParams['pgf.texsystem']}",
+            # Test whether \includegraphics supports interpolate option.
+            r"\usepackage{graphicx}",
+            _get_preamble(),
+            r"\begin{document}",
+            r"\typeout{pgf_backend_query_start}",
+        ]
         return "\n".join(latex_header)
 
-    @staticmethod
-    def _cleanup_remaining_instances():
-        unclean_instances = list(LatexManager._unclean_instances)
-        for latex_manager in unclean_instances:
-            latex_manager._cleanup()
+    @classmethod
+    def _get_cached_or_new(cls):
+        """
+        Return the previous LatexManager if the header and tex system did not
+        change, or a new instance otherwise.
+        """
+        return cls._get_cached_or_new_impl(cls._build_latex_header())
+
+    @classmethod
+    @functools.lru_cache(1)
+    def _get_cached_or_new_impl(cls, header):  # Helper for _get_cached_or_new.
+        return cls()
 
     def _stdin_writeln(self, s):
-        self.latex_stdin_utf8.write(s)
-        self.latex_stdin_utf8.write("\n")
-        self.latex_stdin_utf8.flush()
+        if self.latex is None:
+            self._setup_latex_process()
+        self.latex.stdin.write(s)
+        self.latex.stdin.write("\n")
+        self.latex.stdin.flush()
 
     def _expect(self, s):
-        exp = s.encode("utf8")
-        buf = bytearray()
+        s = list(s)
+        chars = []
         while True:
-            b = self.latex.stdout.read(1)
-            buf += b
-            if buf[-len(exp):] == exp:
+            c = self.latex.stdout.read(1)
+            chars.append(c)
+            if chars[-len(s):] == s:
                 break
-            if not len(b):
-                raise LatexError("LaTeX process halted", buf.decode("utf8"))
-        return buf.decode("utf8")
+            if not c:
+                self.latex.kill()
+                self.latex = None
+                raise LatexError("LaTeX process halted", "".join(chars))
+        return "".join(chars)
 
     def _expect_prompt(self):
         return self._expect("\n*")
 
     def __init__(self):
-        # create a tmp directory for running latex, remember to cleanup
-        self.tmpdir = tempfile.mkdtemp(prefix="mpl_pgf_lm_")
-        LatexManager._unclean_instances.add(self)
+        # create a tmp directory for running latex, register it for deletion
+        self._tmpdir = TemporaryDirectory()
+        self.tmpdir = self._tmpdir.name
+        self._finalize_tmpdir = weakref.finalize(self, self._tmpdir.cleanup)
 
         # test the LaTeX setup to ensure a clean startup of the subprocess
-        self.texcommand = get_texcommand()
-        self.latex_header = LatexManager._build_latex_header()
-        latex_end = "\n\\makeatletter\n\\@@end\n"
+        self._setup_latex_process(expect_reply=False)
+        stdout, stderr = self.latex.communicate("\n\\makeatletter\\@@end\n")
+        if self.latex.returncode != 0:
+            raise LatexError(
+                f"LaTeX errored (probably missing font or error in preamble) "
+                f"while processing the following input:\n"
+                f"{self._build_latex_header()}",
+                stdout)
+        self.latex = None  # Will be set up on first use.
+        # Per-instance cache.
+        self._get_box_metrics = functools.lru_cache(self._get_box_metrics)
+
+    def _setup_latex_process(self, *, expect_reply=True):
+        # Open LaTeX process for real work; register it for deletion.  On
+        # Windows, we must ensure that the subprocess has quit before being
+        # able to delete the tmpdir in which it runs; in order to do so, we
+        # must first `kill()` it, and then `communicate()` with or `wait()` on
+        # it.
         try:
-            latex = subprocess.Popen([self.texcommand, "-halt-on-error"],
-                                     stdin=subprocess.PIPE,
-                                     stdout=subprocess.PIPE,
-                                     cwd=self.tmpdir)
-        except OSError:
-            raise RuntimeError("Error starting process '%s'" % self.texcommand)
-        test_input = self.latex_header + latex_end
-        stdout, stderr = latex.communicate(test_input.encode("utf-8"))
-        if latex.returncode != 0:
-            raise LatexError("LaTeX returned an error, probably missing font or error in preamble:\n%s" % stdout)
-
-        # open LaTeX process for real work
-        latex = subprocess.Popen([self.texcommand, "-halt-on-error"],
-                                 stdin=subprocess.PIPE, stdout=subprocess.PIPE,
-                                 cwd=self.tmpdir)
-        self.latex = latex
-        self.latex_stdin_utf8 = codecs.getwriter("utf8")(self.latex.stdin)
+            self.latex = subprocess.Popen(
+                [mpl.rcParams["pgf.texsystem"], "-halt-on-error"],
+                stdin=subprocess.PIPE, stdout=subprocess.PIPE,
+                encoding="utf-8", cwd=self.tmpdir)
+        except FileNotFoundError as err:
+            raise RuntimeError(
+                f"{mpl.rcParams['pgf.texsystem']!r} not found; install it or change "
+                f"rcParams['pgf.texsystem'] to an available TeX implementation"
+            ) from err
+        except OSError as err:
+            raise RuntimeError(
+                f"Error starting {mpl.rcParams['pgf.texsystem']!r}") from err
+
+        def finalize_latex(latex):
+            latex.kill()
+            try:
+                latex.communicate()
+            except RuntimeError:
+                latex.wait()
+
+        self._finalize_latex = weakref.finalize(
+            self, finalize_latex, self.latex)
         # write header with 'pgf_backend_query_start' token
         self._stdin_writeln(self._build_latex_header())
-        # read all lines until our 'pgf_backend_query_start' token appears
-        self._expect("*pgf_backend_query_start")
-        self._expect_prompt()
-
-        # cache for strings already processed
-        self.str_cache = {}
-
-    def _cleanup(self):
-        if not os.path.isdir(self.tmpdir):
-            return
-        try:
-            self.latex.communicate()
-            self.latex_stdin_utf8.close()
-            self.latex.stdout.close()
-        except:
-            pass
-        try:
-            shutil.rmtree(self.tmpdir)
-            LatexManager._unclean_instances.discard(self)
-        except:
-            sys.stderr.write("error deleting tmp directory %s\n" % self.tmpdir)
-
-    def __del__(self):
-        if rcParams.get("pgf.debug", False):
-            print("deleting LatexManager")
-        self._cleanup()
+        if expect_reply:  # read until 'pgf_backend_query_start' token appears
+            self._expect("*pgf_backend_query_start")
+            self._expect_prompt()
 
     def get_width_height_descent(self, text, prop):
         """
-        Get the width, total height and descent for a text typesetted by the
-        current LaTeX environment.
+        Get the width, total height, and descent (in TeX points) for a text
+        typeset by the current LaTeX environment.
         """
+        return self._get_box_metrics(_escape_and_apply_props(text, prop))
 
-        # apply font properties and define textbox
-        prop_cmds = _font_properties_str(prop)
-        textbox = "\\sbox0{%s %s}" % (prop_cmds, text)
-
-        # check cache
-        if textbox in self.str_cache:
-            return self.str_cache[textbox]
-
-        # send textbox to LaTeX and wait for prompt
-        self._stdin_writeln(textbox)
-        try:
-            self._expect_prompt()
-        except LatexError as e:
-            msg = "Error processing '%s'\nLaTeX Output:\n%s"
-            raise ValueError(msg % (text, e.latex_output))
-
-        # typeout width, height and text offset of the last textbox
-        self._stdin_writeln(r"\typeout{\the\wd0,\the\ht0,\the\dp0}")
-        # read answer from latex and advance to the next prompt
+    def _get_box_metrics(self, tex):
+        """
+        Get the width, total height and descent (in TeX points) for a TeX
+        command's output in the current LaTeX environment.
+        """
+        # This method gets wrapped in __init__ for per-instance caching.
+        self._stdin_writeln(  # Send textbox to TeX & request metrics typeout.
+            # \sbox doesn't handle catcode assignments inside its argument,
+            # so repeat the assignment of the catcode of "^" and "%" outside.
+            r"{\catcode`\^=\active\catcode`\%%=\active\sbox0{%s}"
+            r"\typeout{\the\wd0,\the\ht0,\the\dp0}}"
+            % tex)
         try:
             answer = self._expect_prompt()
-        except LatexError as e:
-            msg = "Error processing '%s'\nLaTeX Output:\n%s"
-            raise ValueError(msg % (text, e.latex_output))
-
-        # parse metrics from the answer string
+        except LatexError as err:
+            # Here and below, use '{}' instead of {!r} to avoid doubling all
+            # backslashes.
+            raise ValueError("Error measuring {}\nLaTeX Output:\n{}"
+                             .format(tex, err.latex_output)) from err
         try:
-            width, height, offset = answer.splitlines()[0].split(",")
-        except:
-            msg = "Error processing '%s'\nLaTeX Output:\n%s" % (text, answer)
-            raise ValueError(msg)
+            # Parse metrics from the answer string.  Last line is prompt, and
+            # next-to-last-line is blank line from \typeout.
+            width, height, offset = answer.splitlines()[-3].split(",")
+        except Exception as err:
+            raise ValueError("Error measuring {}\nLaTeX Output:\n{}"
+                             .format(tex, answer)) from err
         w, h, o = float(width[:-2]), float(height[:-2]), float(offset[:-2])
-
-        # the height returned from LaTeX goes from base to top.
-        # the height matplotlib expects goes from bottom to top.
-        self.str_cache[textbox] = (w, h + o, o)
+        # The height returned from LaTeX goes from base to top;
+        # the height Matplotlib expects goes from bottom to top.
         return w, h + o, o
 
 
+@functools.lru_cache(1)
+def _get_image_inclusion_command():
+    man = LatexManager._get_cached_or_new()
+    man._stdin_writeln(
+        r"\includegraphics[interpolate=true]{%s}"
+        # Don't mess with backslashes on Windows.
+        % cbook._get_data_path("images/matplotlib.png").as_posix())
+    try:
+        man._expect_prompt()
+        return r"\includegraphics"
+    except LatexError:
+        # Discard the broken manager.
+        LatexManager._get_cached_or_new_impl.cache_clear()
+        return r"\pgfimage"
+
+
 class RendererPgf(RendererBase):
 
-    def __init__(self, figure, fh, dummy=False):
+    def __init__(self, figure, fh):
         """
-        Creates a new PGF renderer that translates any drawing instruction
+        Create a new PGF renderer that translates any drawing instruction
         into text commands to be interpreted in a latex pgfpicture environment.
 
-        Attributes:
-        * figure: Matplotlib figure to initialize height, width and dpi from.
-        * fh: File handle for the output of the drawing commands.
+        Attributes
+        ----------
+        figure : `~matplotlib.figure.Figure`
+            Matplotlib figure to initialize height, width and dpi from.
+        fh : file-like
+            File handle for the output of the drawing commands.
         """
-        RendererBase.__init__(self)
+
+        super().__init__()
         self.dpi = figure.dpi
         self.fh = fh
         self.figure = figure
         self.image_counter = 0
 
-        # get LatexManager instance
-        self.latexManager = LatexManagerFactory.get_latex_manager()
+    def draw_markers(self, gc, marker_path, marker_trans, path, trans,
+                     rgbFace=None):
+        # docstring inherited
 
-        if dummy:
-            # dummy==True deactivate all methods
-            nop = lambda *args, **kwargs: None
-            for m in RendererPgf.__dict__.keys():
-                if m.startswith("draw_"):
-                    self.__dict__[m] = nop
-        else:
-            # if fh does not belong to a filename, deactivate draw_image
-            if not os.path.exists(fh.name):
-                self.__dict__["draw_image"] = lambda *args, **kwargs: None
-
-    def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
-        writeln(self.fh, r"\begin{pgfscope}")
+        _writeln(self.fh, r"\begin{pgfscope}")
 
         # convert from display units to in
         f = 1. / self.dpi
@@ -447,67 +400,80 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None)
         # build marker definition
         bl, tr = marker_path.get_extents(marker_trans).get_points()
         coords = bl[0] * f, bl[1] * f, tr[0] * f, tr[1] * f
-        writeln(self.fh, r"\pgfsys@defobject{currentmarker}{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}{" % coords)
+        _writeln(self.fh,
+                 r"\pgfsys@defobject{currentmarker}"
+                 r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}{" % coords)
         self._print_pgf_path(None, marker_path, marker_trans)
         self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0,
                             fill=rgbFace is not None)
-        writeln(self.fh, r"}")
+        _writeln(self.fh, r"}")
+
+        maxcoord = 16383 / 72.27 * self.dpi  # Max dimensions in LaTeX.
+        clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)
 
         # draw marker for each vertex
-        for point, code in path.iter_segments(trans, simplify=False):
+        for point, code in path.iter_segments(trans, simplify=False,
+                                              clip=clip):
             x, y = point[0] * f, point[1] * f
-            writeln(self.fh, r"\begin{pgfscope}")
-            writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x, y))
-            writeln(self.fh, r"\pgfsys@useobject{currentmarker}{}")
-            writeln(self.fh, r"\end{pgfscope}")
+            _writeln(self.fh, r"\begin{pgfscope}")
+            _writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x, y))
+            _writeln(self.fh, r"\pgfsys@useobject{currentmarker}{}")
+            _writeln(self.fh, r"\end{pgfscope}")
 
-        writeln(self.fh, r"\end{pgfscope}")
+        _writeln(self.fh, r"\end{pgfscope}")
 
     def draw_path(self, gc, path, transform, rgbFace=None):
-        writeln(self.fh, r"\begin{pgfscope}")
+        # docstring inherited
+        _writeln(self.fh, r"\begin{pgfscope}")
         # draw the path
         self._print_pgf_clip(gc)
         self._print_pgf_path_styles(gc, rgbFace)
-        self._print_pgf_path(gc, path, transform)
+        self._print_pgf_path(gc, path, transform, rgbFace)
         self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0,
                             fill=rgbFace is not None)
-        writeln(self.fh, r"\end{pgfscope}")
+        _writeln(self.fh, r"\end{pgfscope}")
 
         # if present, draw pattern on top
         if gc.get_hatch():
-            writeln(self.fh, r"\begin{pgfscope}")
+            _writeln(self.fh, r"\begin{pgfscope}")
             self._print_pgf_path_styles(gc, rgbFace)
 
             # combine clip and path for clipping
             self._print_pgf_clip(gc)
-            self._print_pgf_path(gc, path, transform)
-            writeln(self.fh, r"\pgfusepath{clip}")
+            self._print_pgf_path(gc, path, transform, rgbFace)
+            _writeln(self.fh, r"\pgfusepath{clip}")
 
             # build pattern definition
-            writeln(self.fh, r"\pgfsys@defobject{currentpattern}{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}{")
-            writeln(self.fh, r"\begin{pgfscope}")
-            writeln(self.fh, r"\pgfpathrectangle{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}")
-            writeln(self.fh, r"\pgfusepath{clip}")
+            _writeln(self.fh,
+                     r"\pgfsys@defobject{currentpattern}"
+                     r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}{")
+            _writeln(self.fh, r"\begin{pgfscope}")
+            _writeln(self.fh,
+                     r"\pgfpathrectangle"
+                     r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}")
+            _writeln(self.fh, r"\pgfusepath{clip}")
             scale = mpl.transforms.Affine2D().scale(self.dpi)
             self._print_pgf_path(None, gc.get_hatch_path(), scale)
             self._pgf_path_draw(stroke=True)
-            writeln(self.fh, r"\end{pgfscope}")
-            writeln(self.fh, r"}")
+            _writeln(self.fh, r"\end{pgfscope}")
+            _writeln(self.fh, r"}")
             # repeat pattern, filling the bounding rect of the path
             f = 1. / self.dpi
-            (xmin, ymin), (xmax, ymax) = path.get_extents(transform).get_points()
+            (xmin, ymin), (xmax, ymax) = \
+                path.get_extents(transform).get_points()
             xmin, xmax = f * xmin, f * xmax
             ymin, ymax = f * ymin, f * ymax
-            repx, repy = int(math.ceil(xmax-xmin)), int(math.ceil(ymax-ymin))
-            writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (xmin, ymin))
+            repx, repy = math.ceil(xmax - xmin), math.ceil(ymax - ymin)
+            _writeln(self.fh,
+                     r"\pgfsys@transformshift{%fin}{%fin}" % (xmin, ymin))
             for iy in range(repy):
                 for ix in range(repx):
-                    writeln(self.fh, r"\pgfsys@useobject{currentpattern}{}")
-                    writeln(self.fh, r"\pgfsys@transformshift{1in}{0in}")
-                writeln(self.fh, r"\pgfsys@transformshift{-%din}{0in}" % repx)
-                writeln(self.fh, r"\pgfsys@transformshift{0in}{1in}")
+                    _writeln(self.fh, r"\pgfsys@useobject{currentpattern}{}")
+                    _writeln(self.fh, r"\pgfsys@transformshift{1in}{0in}")
+                _writeln(self.fh, r"\pgfsys@transformshift{-%din}{0in}" % repx)
+                _writeln(self.fh, r"\pgfsys@transformshift{0in}{1in}")
 
-            writeln(self.fh, r"\end{pgfscope}")
+            _writeln(self.fh, r"\end{pgfscope}")
 
     def _print_pgf_clip(self, gc):
         f = 1. / self.dpi
@@ -517,27 +483,30 @@ def _print_pgf_clip(self, gc):
             p1, p2 = bbox.get_points()
             w, h = p2 - p1
             coords = p1[0] * f, p1[1] * f, w * f, h * f
-            writeln(self.fh, r"\pgfpathrectangle{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}} " % coords)
-            writeln(self.fh, r"\pgfusepath{clip}")
+            _writeln(self.fh,
+                     r"\pgfpathrectangle"
+                     r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}"
+                     % coords)
+            _writeln(self.fh, r"\pgfusepath{clip}")
 
         # check for clip path
         clippath, clippath_trans = gc.get_clip_path()
         if clippath is not None:
             self._print_pgf_path(gc, clippath, clippath_trans)
-            writeln(self.fh, r"\pgfusepath{clip}")
+            _writeln(self.fh, r"\pgfusepath{clip}")
 
     def _print_pgf_path_styles(self, gc, rgbFace):
         # cap style
         capstyles = {"butt": r"\pgfsetbuttcap",
                      "round": r"\pgfsetroundcap",
                      "projecting": r"\pgfsetrectcap"}
-        writeln(self.fh, capstyles[gc.get_capstyle()])
+        _writeln(self.fh, capstyles[gc.get_capstyle()])
 
         # join style
         joinstyles = {"miter": r"\pgfsetmiterjoin",
                       "round": r"\pgfsetroundjoin",
                       "bevel": r"\pgfsetbeveljoin"}
-        writeln(self.fh, joinstyles[gc.get_joinstyle()])
+        _writeln(self.fh, joinstyles[gc.get_joinstyle()])
 
         # filling
         has_fill = rgbFace is not None
@@ -549,60 +518,99 @@ def _print_pgf_path_styles(self, gc, rgbFace):
             fillopacity = rgbFace[3] if has_fill and len(rgbFace) > 3 else 1.0
 
         if has_fill:
-            writeln(self.fh, r"\definecolor{currentfill}{rgb}{%f,%f,%f}" % tuple(rgbFace[:3]))
-            writeln(self.fh, r"\pgfsetfillcolor{currentfill}")
+            _writeln(self.fh,
+                     r"\definecolor{currentfill}{rgb}{%f,%f,%f}"
+                     % tuple(rgbFace[:3]))
+            _writeln(self.fh, r"\pgfsetfillcolor{currentfill}")
         if has_fill and fillopacity != 1.0:
-            writeln(self.fh, r"\pgfsetfillopacity{%f}" % fillopacity)
+            _writeln(self.fh, r"\pgfsetfillopacity{%f}" % fillopacity)
 
         # linewidth and color
         lw = gc.get_linewidth() * mpl_pt_to_in * latex_in_to_pt
         stroke_rgba = gc.get_rgb()
-        writeln(self.fh, r"\pgfsetlinewidth{%fpt}" % lw)
-        writeln(self.fh, r"\definecolor{currentstroke}{rgb}{%f,%f,%f}" % stroke_rgba[:3])
-        writeln(self.fh, r"\pgfsetstrokecolor{currentstroke}")
+        _writeln(self.fh, r"\pgfsetlinewidth{%fpt}" % lw)
+        _writeln(self.fh,
+                 r"\definecolor{currentstroke}{rgb}{%f,%f,%f}"
+                 % stroke_rgba[:3])
+        _writeln(self.fh, r"\pgfsetstrokecolor{currentstroke}")
         if strokeopacity != 1.0:
-            writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % strokeopacity)
+            _writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % strokeopacity)
 
         # line style
         dash_offset, dash_list = gc.get_dashes()
         if dash_list is None:
-            writeln(self.fh, r"\pgfsetdash{}{0pt}")
+            _writeln(self.fh, r"\pgfsetdash{}{0pt}")
         else:
-            dash_str = r"\pgfsetdash{"
-            for dash in dash_list:
-                dash_str += r"{%fpt}" % dash
-            dash_str += r"}{%fpt}" % dash_offset
-            writeln(self.fh, dash_str)
+            _writeln(self.fh,
+                     r"\pgfsetdash{%s}{%fpt}"
+                     % ("".join(r"{%fpt}" % dash for dash in dash_list),
+                        dash_offset))
 
-    def _print_pgf_path(self, gc, path, transform):
+    def _print_pgf_path(self, gc, path, transform, rgbFace=None):
         f = 1. / self.dpi
-        # check for clip box
+        # check for clip box / ignore clip for filled paths
         bbox = gc.get_clip_rectangle() if gc else None
-        if bbox:
+        maxcoord = 16383 / 72.27 * self.dpi  # Max dimensions in LaTeX.
+        if bbox and (rgbFace is None):
             p1, p2 = bbox.get_points()
-            clip = (p1[0], p1[1], p2[0], p2[1])
+            clip = (max(p1[0], -maxcoord), max(p1[1], -maxcoord),
+                    min(p2[0], maxcoord), min(p2[1], maxcoord))
         else:
-            clip = None
+            clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)
         # build path
         for points, code in path.iter_segments(transform, clip=clip):
             if code == Path.MOVETO:
                 x, y = tuple(points)
-                writeln(self.fh, r"\pgfpathmoveto{\pgfqpoint{%fin}{%fin}}" %
-                        (f * x, f * y))
+                _writeln(self.fh,
+                         r"\pgfpathmoveto{\pgfqpoint{%fin}{%fin}}" %
+                         (f * x, f * y))
             elif code == Path.CLOSEPOLY:
-                writeln(self.fh, r"\pgfpathclose")
+                _writeln(self.fh, r"\pgfpathclose")
             elif code == Path.LINETO:
                 x, y = tuple(points)
-                writeln(self.fh, r"\pgfpathlineto{\pgfqpoint{%fin}{%fin}}" %
-                        (f * x, f * y))
+                _writeln(self.fh,
+                         r"\pgfpathlineto{\pgfqpoint{%fin}{%fin}}" %
+                         (f * x, f * y))
             elif code == Path.CURVE3:
                 cx, cy, px, py = tuple(points)
                 coords = cx * f, cy * f, px * f, py * f
-                writeln(self.fh, r"\pgfpathquadraticcurveto{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}" % coords)
+                _writeln(self.fh,
+                         r"\pgfpathquadraticcurveto"
+                         r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}"
+                         % coords)
             elif code == Path.CURVE4:
                 c1x, c1y, c2x, c2y, px, py = tuple(points)
                 coords = c1x * f, c1y * f, c2x * f, c2y * f, px * f, py * f
-                writeln(self.fh, r"\pgfpathcurveto{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}" % coords)
+                _writeln(self.fh,
+                         r"\pgfpathcurveto"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         % coords)
+
+        # apply pgf decorators
+        sketch_params = gc.get_sketch_params() if gc else None
+        if sketch_params is not None:
+            # Only "length" directly maps to "segment length" in PGF's API.
+            # PGF uses "amplitude" to pass the combined deviation in both x-
+            # and y-direction, while matplotlib only varies the length of the
+            # wiggle along the line ("randomness" and "length" parameters)
+            # and has a separate "scale" argument for the amplitude.
+            # -> Use "randomness" as PRNG seed to allow the user to force the
+            # same shape on multiple sketched lines
+            scale, length, randomness = sketch_params
+            if scale is not None:
+                # make matplotlib and PGF rendering visually similar
+                length *= 0.5
+                scale *= 2
+                # PGF guarantees that repeated loading is a no-op
+                _writeln(self.fh, r"\usepgfmodule{decorations}")
+                _writeln(self.fh, r"\usepgflibrary{decorations.pathmorphing}")
+                _writeln(self.fh, r"\pgfkeys{/pgf/decoration/.cd, "
+                         f"segment length = {(length * f):f}in, "
+                         f"amplitude = {(scale * f):f}in}}")
+                _writeln(self.fh, f"\\pgfmathsetseed{{{int(randomness)}}}")
+                _writeln(self.fh, r"\pgfdecoratecurrentpath{random steps}")
 
     def _pgf_path_draw(self, stroke=True, fill=False):
         actions = []
@@ -610,83 +618,114 @@ def _pgf_path_draw(self, stroke=True, fill=False):
             actions.append("stroke")
         if fill:
             actions.append("fill")
-        writeln(self.fh, r"\pgfusepath{%s}" % ",".join(actions))
+        _writeln(self.fh, r"\pgfusepath{%s}" % ",".join(actions))
+
+    def option_scale_image(self):
+        # docstring inherited
+        return True
+
+    def option_image_nocomposite(self):
+        # docstring inherited
+        return not mpl.rcParams['image.composite_image']
+
+    def draw_image(self, gc, x, y, im, transform=None):
+        # docstring inherited
+
+        h, w = im.shape[:2]
+        if w == 0 or h == 0:
+            return
 
-    def draw_image(self, gc, x, y, im):
-        # TODO: Almost no documentation for the behavior of this function.
-        #       Something missing?
+        if not os.path.exists(getattr(self.fh, "name", "")):
+            raise ValueError(
+                "streamed pgf-code does not support raster graphics, consider "
+                "using the pgf-to-pdf option")
 
         # save the images to png files
-        path = os.path.dirname(self.fh.name)
-        fname = os.path.splitext(os.path.basename(self.fh.name))[0]
-        fname_img = "%s-img%d.png" % (fname, self.image_counter)
+        path = pathlib.Path(self.fh.name)
+        fname_img = "%s-img%d.png" % (path.stem, self.image_counter)
+        Image.fromarray(im[::-1]).save(path.parent / fname_img)
         self.image_counter += 1
-        _png.write_png(np.array(im)[::-1], os.path.join(path, fname_img))
 
         # reference the image in the pgf picture
-        writeln(self.fh, r"\begin{pgfscope}")
+        _writeln(self.fh, r"\begin{pgfscope}")
         self._print_pgf_clip(gc)
-        h, w = im.get_size_out()
         f = 1. / self.dpi  # from display coords to inch
-        writeln(self.fh, r"\pgftext[at=\pgfqpoint{%fin}{%fin},left,bottom]{\pgfimage[interpolate=true,width=%fin,height=%fin]{%s}}" % (x * f, y * f, w * f, h * f, fname_img))
-        writeln(self.fh, r"\end{pgfscope}")
-
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath="TeX!", mtext=None):
-        self.draw_text(gc, x, y, s, prop, angle, ismath, mtext)
+        if transform is None:
+            _writeln(self.fh,
+                     r"\pgfsys@transformshift{%fin}{%fin}" % (x * f, y * f))
+            w, h = w * f, h * f
+        else:
+            tr1, tr2, tr3, tr4, tr5, tr6 = transform.frozen().to_values()
+            _writeln(self.fh,
+                     r"\pgfsys@transformcm{%f}{%f}{%f}{%f}{%fin}{%fin}" %
+                     (tr1 * f, tr2 * f, tr3 * f, tr4 * f,
+                      (tr5 + x) * f, (tr6 + y) * f))
+            w = h = 1  # scale is already included in the transform
+        interp = str(transform is None).lower()  # interpolation in PDF reader
+        _writeln(self.fh,
+                 r"\pgftext[left,bottom]"
+                 r"{%s[interpolate=%s,width=%fin,height=%fin]{%s}}" %
+                 (_get_image_inclusion_command(),
+                  interp, w, h, fname_img))
+        _writeln(self.fh, r"\end{pgfscope}")
+
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
+        self.draw_text(gc, x, y, s, prop, angle, ismath="TeX", mtext=mtext)
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        # prepare string for tex
-        s = common_texification(s)
-        prop_cmds = _font_properties_str(prop)
-        s = r"%s %s" % (prop_cmds, s)
+        # docstring inherited
 
+        # prepare string for tex
+        s = _escape_and_apply_props(s, prop)
 
-        writeln(self.fh, r"\begin{pgfscope}")
+        _writeln(self.fh, r"\begin{pgfscope}")
+        self._print_pgf_clip(gc)
 
         alpha = gc.get_alpha()
         if alpha != 1.0:
-            writeln(self.fh, r"\pgfsetfillopacity{%f}" % alpha)
-            writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % alpha)
+            _writeln(self.fh, r"\pgfsetfillopacity{%f}" % alpha)
+            _writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % alpha)
         rgb = tuple(gc.get_rgb())[:3]
-        if rgb != (0, 0, 0):
-            writeln(self.fh, r"\definecolor{textcolor}{rgb}{%f,%f,%f}" % rgb)
-            writeln(self.fh, r"\pgfsetstrokecolor{textcolor}")
-            writeln(self.fh, r"\pgfsetfillcolor{textcolor}")
-            s = r"\color{textcolor}" + s
+        _writeln(self.fh, r"\definecolor{textcolor}{rgb}{%f,%f,%f}" % rgb)
+        _writeln(self.fh, r"\pgfsetstrokecolor{textcolor}")
+        _writeln(self.fh, r"\pgfsetfillcolor{textcolor}")
+        s = r"\color{textcolor}" + s
 
-        f = 1.0 / self.figure.dpi
+        dpi = self.figure.dpi
         text_args = []
-        if mtext and (angle == 0 or mtext.get_rotation_mode() == "anchor"):
+        if mtext and (
+                (angle == 0 or
+                 mtext.get_rotation_mode() == "anchor") and
+                mtext.get_verticalalignment() != "center_baseline"):
             # if text anchoring can be supported, get the original coordinates
             # and add alignment information
-            x, y = mtext.get_transform().transform_point(mtext.get_position())
-            text_args.append("x=%fin" % (x * f))
-            text_args.append("y=%fin" % (y * f))
-
+            pos = mtext.get_unitless_position()
+            x, y = mtext.get_transform().transform(pos)
             halign = {"left": "left", "right": "right", "center": ""}
             valign = {"top": "top", "bottom": "bottom",
                       "baseline": "base", "center": ""}
-            text_args.append(halign[mtext.get_ha()])
-            text_args.append(valign[mtext.get_va()])
+            text_args.extend([
+                f"x={x/dpi:f}in",
+                f"y={y/dpi:f}in",
+                halign[mtext.get_horizontalalignment()],
+                valign[mtext.get_verticalalignment()],
+            ])
         else:
-            # if not, use the text layout provided by matplotlib
-            text_args.append("x=%fin" % (x * f))
-            text_args.append("y=%fin" % (y * f))
-            text_args.append("left")
-            text_args.append("base")
+            # if not, use the text layout provided by Matplotlib.
+            text_args.append(f"x={x/dpi:f}in, y={y/dpi:f}in, left, base")
 
         if angle != 0:
             text_args.append("rotate=%f" % angle)
 
-        writeln(self.fh, r"\pgftext[%s]{%s}" % (",".join(text_args), s))
-        writeln(self.fh, r"\end{pgfscope}")
+        _writeln(self.fh, r"\pgftext[%s]{%s}" % (",".join(text_args), s))
+        _writeln(self.fh, r"\end{pgfscope}")
 
     def get_text_width_height_descent(self, s, prop, ismath):
-        # check if the math is supposed to be displaystyled
-        s = common_texification(s)
-
+        # docstring inherited
         # get text metrics in units of latex pt, convert to display units
-        w, h, d = self.latexManager.get_width_height_descent(s, prop)
+        w, h, d = (LatexManager._get_cached_or_new()
+                   .get_width_height_descent(s, prop))
         # TODO: this should be latex_pt_to_in instead of mpl_pt_to_in
         # but having a little bit more space around the text looks better,
         # plus the bounding box reported by LaTeX is VERY narrow
@@ -694,82 +733,28 @@ def get_text_width_height_descent(self, s, prop, ismath):
         return w * f, h * f, d * f
 
     def flipy(self):
+        # docstring inherited
         return False
 
     def get_canvas_width_height(self):
-        return self.figure.get_figwidth(), self.figure.get_figheight()
+        # docstring inherited
+        return (self.figure.get_figwidth() * self.dpi,
+                self.figure.get_figheight() * self.dpi)
 
     def points_to_pixels(self, points):
+        # docstring inherited
         return points * mpl_pt_to_in * self.dpi
 
-    def new_gc(self):
-        return GraphicsContextPgf()
-
-
-class GraphicsContextPgf(GraphicsContextBase):
-    pass
-
-########################################################################
-
-
-def draw_if_interactive():
-    pass
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    # if a main-level app must be created, this is the usual place to
-    # do it -- see backend_wx, backend_wxagg and backend_tkagg for
-    # examples.  Not all GUIs require explicit instantiation of a
-    # main-level app (egg backend_gtk, backend_gtkagg) for pylab
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasPgf(figure)
-    manager = FigureManagerPgf(canvas, num)
-    return manager
-
-
-class TmpDirCleaner(object):
-    remaining_tmpdirs = set()
-
-    @staticmethod
-    def add(tmpdir):
-        TmpDirCleaner.remaining_tmpdirs.add(tmpdir)
-
-    @staticmethod
-    def cleanup_remaining_tmpdirs():
-        for tmpdir in TmpDirCleaner.remaining_tmpdirs:
-            try:
-                shutil.rmtree(tmpdir)
-            except:
-                sys.stderr.write("error deleting tmp directory %s\n" % tmpdir)
-
 
 class FigureCanvasPgf(FigureCanvasBase):
     filetypes = {"pgf": "LaTeX PGF picture",
                  "pdf": "LaTeX compiled PGF picture",
                  "png": "Portable Network Graphics", }
 
-    def __init__(self, *args):
-        FigureCanvasBase.__init__(self, *args)
-
     def get_default_filetype(self):
         return 'pdf'
 
-    def _print_pgf_to_fh(self, fh, *args, **kwargs):
-        if kwargs.get("dryrun", False):
-            renderer = RendererPgf(self.figure, None, dummy=True)
-            self.figure.draw(renderer)
-            return
+    def _print_pgf_to_fh(self, fh, *, bbox_inches_restore=None):
 
         header_text = """%% Creator: Matplotlib, PGF backend
 %%
@@ -779,10 +764,15 @@ def _print_pgf_to_fh(self, fh, *args, **kwargs):
 %% Make sure the required packages are loaded in your preamble
 %%   \\usepackage{pgf}
 %%
-%% Figures using additional raster images can only be included by \input if
+%% Also ensure that all the required font packages are loaded; for instance,
+%% the lmodern package is sometimes necessary when using math font.
+%%   \\usepackage{lmodern}
+%%
+%% Figures using additional raster images can only be included by \\input if
 %% they are in the same directory as the main LaTeX file. For loading figures
 %% from other directories you can use the `import` package
 %%   \\usepackage{import}
+%%
 %% and then include the figures with
 %%   \\import{<path to file>}{<filename>.pgf}
 %%
@@ -790,173 +780,231 @@ def _print_pgf_to_fh(self, fh, *args, **kwargs):
 
         # append the preamble used by the backend as a comment for debugging
         header_info_preamble = ["%% Matplotlib used the following preamble"]
-        for line in get_preamble().splitlines():
-            header_info_preamble.append("%%   " + line)
-        for line in get_fontspec().splitlines():
+        for line in _get_preamble().splitlines():
             header_info_preamble.append("%%   " + line)
         header_info_preamble.append("%%")
         header_info_preamble = "\n".join(header_info_preamble)
 
         # get figure size in inch
         w, h = self.figure.get_figwidth(), self.figure.get_figheight()
-        dpi = self.figure.get_dpi()
+        dpi = self.figure.dpi
 
         # create pgfpicture environment and write the pgf code
         fh.write(header_text)
         fh.write(header_info_preamble)
         fh.write("\n")
-        writeln(fh, r"\begingroup")
-        writeln(fh, r"\makeatletter")
-        writeln(fh, r"\begin{pgfpicture}")
-        writeln(fh, r"\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{%fin}{%fin}}" % (w, h))
-        writeln(fh, r"\pgfusepath{use as bounding box, clip}")
-        _bbox_inches_restore = kwargs.pop("bbox_inches_restore", None)
+        _writeln(fh, r"\begingroup")
+        _writeln(fh, r"\makeatletter")
+        _writeln(fh, r"\begin{pgfpicture}")
+        _writeln(fh,
+                 r"\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{%fin}{%fin}}"
+                 % (w, h))
+        _writeln(fh, r"\pgfusepath{use as bounding box, clip}")
         renderer = MixedModeRenderer(self.figure, w, h, dpi,
                                      RendererPgf(self.figure, fh),
-                                     bbox_inches_restore=_bbox_inches_restore)
+                                     bbox_inches_restore=bbox_inches_restore)
         self.figure.draw(renderer)
 
         # end the pgfpicture environment
-        writeln(fh, r"\end{pgfpicture}")
-        writeln(fh, r"\makeatother")
-        writeln(fh, r"\endgroup")
+        _writeln(fh, r"\end{pgfpicture}")
+        _writeln(fh, r"\makeatother")
+        _writeln(fh, r"\endgroup")
 
-    def print_pgf(self, fname_or_fh, *args, **kwargs):
+    def print_pgf(self, fname_or_fh, **kwargs):
         """
-        Output pgf commands for drawing the figure so it can be included and
+        Output pgf macros for drawing the figure so it can be included and
         rendered in latex documents.
         """
-        if kwargs.get("dryrun", False):
-            self._print_pgf_to_fh(None, *args, **kwargs)
-            return
-
-        # figure out where the pgf is to be written to
-        if is_string_like(fname_or_fh):
-            with codecs.open(fname_or_fh, "w", encoding="utf-8") as fh:
-                self._print_pgf_to_fh(fh, *args, **kwargs)
-        elif is_writable_file_like(fname_or_fh):
-            if not os.path.exists(fname_or_fh.name):
-                warnings.warn("streamed pgf-code does not support raster "
-                              "graphics, consider using the pgf-to-pdf option",
-                              UserWarning)
-            self._print_pgf_to_fh(fname_or_fh, *args, **kwargs)
-        else:
-            raise ValueError("filename must be a path")
-
-    def _print_pdf_to_fh(self, fh, *args, **kwargs):
-        w, h = self.figure.get_figwidth(), self.figure.get_figheight()
-
-        try:
-            # create temporary directory for compiling the figure
-            tmpdir = tempfile.mkdtemp(prefix="mpl_pgf_")
-            fname_pgf = os.path.join(tmpdir, "figure.pgf")
-            fname_tex = os.path.join(tmpdir, "figure.tex")
-            fname_pdf = os.path.join(tmpdir, "figure.pdf")
-
-            # print figure to pgf and compile it with latex
-            self.print_pgf(fname_pgf, *args, **kwargs)
-
-            latex_preamble = get_preamble()
-            latex_fontspec = get_fontspec()
-            latexcode = """
-\\documentclass[12pt]{minimal}
-\\usepackage[paperwidth=%fin, paperheight=%fin, margin=0in]{geometry}
-%s
-%s
-\\usepackage{pgf}
-
-\\begin{document}
-\\centering
-\\input{figure.pgf}
-\\end{document}""" % (w, h, latex_preamble, latex_fontspec)
-            with codecs.open(fname_tex, "w", "utf-8") as fh_tex:
-                fh_tex.write(latexcode)
-
-            texcommand = get_texcommand()
-            cmdargs = [texcommand, "-interaction=nonstopmode",
-                       "-halt-on-error", "figure.tex"]
-            try:
-                check_output(cmdargs, stderr=subprocess.STDOUT, cwd=tmpdir)
-            except subprocess.CalledProcessError as e:
-                raise RuntimeError("%s was not able to process your file.\n\nFull log:\n%s" % (texcommand, e.output))
-
-            # copy file contents to target
-            with open(fname_pdf, "rb") as fh_src:
-                shutil.copyfileobj(fh_src, fh)
-        finally:
-            try:
-                shutil.rmtree(tmpdir)
-            except:
-                TmpDirCleaner.add(tmpdir)
-
-    def print_pdf(self, fname_or_fh, *args, **kwargs):
-        """
-        Use LaTeX to compile a Pgf generated figure to PDF.
-        """
-        if kwargs.get("dryrun", False):
-            self._print_pgf_to_fh(None, *args, **kwargs)
-            return
-
-        # figure out where the pdf is to be written to
-        if is_string_like(fname_or_fh):
-            with open(fname_or_fh, "wb") as fh:
-                self._print_pdf_to_fh(fh, *args, **kwargs)
-        elif is_writable_file_like(fname_or_fh):
-            self._print_pdf_to_fh(fname_or_fh, *args, **kwargs)
-        else:
-            raise ValueError("filename must be a path or a file-like object")
-
-    def _print_png_to_fh(self, fh, *args, **kwargs):
+        with cbook.open_file_cm(fname_or_fh, "w", encoding="utf-8") as file:
+            if not cbook.file_requires_unicode(file):
+                file = codecs.getwriter("utf-8")(file)
+            self._print_pgf_to_fh(file, **kwargs)
+
+    def print_pdf(self, fname_or_fh, *, metadata=None, **kwargs):
+        """Use LaTeX to compile a pgf generated figure to pdf."""
+        w, h = self.figure.get_size_inches()
+
+        info_dict = _create_pdf_info_dict('pgf', metadata or {})
+        pdfinfo = ','.join(
+            _metadata_to_str(k, v) for k, v in info_dict.items())
+
+        # print figure to pgf and compile it with latex
+        with TemporaryDirectory() as tmpdir:
+            tmppath = pathlib.Path(tmpdir)
+            self.print_pgf(tmppath / "figure.pgf", **kwargs)
+            (tmppath / "figure.tex").write_text(
+                "\n".join([
+                    _DOCUMENTCLASS,
+                    r"\usepackage[pdfinfo={%s}]{hyperref}" % pdfinfo,
+                    r"\usepackage[papersize={%fin,%fin}, margin=0in]{geometry}"
+                    % (w, h),
+                    r"\usepackage{pgf}",
+                    _get_preamble(),
+                    r"\begin{document}",
+                    r"\centering",
+                    r"\input{figure.pgf}",
+                    r"\end{document}",
+                ]), encoding="utf-8")
+            texcommand = mpl.rcParams["pgf.texsystem"]
+            cbook._check_and_log_subprocess(
+                [texcommand, "-interaction=nonstopmode", "-halt-on-error",
+                 "figure.tex"], _log, cwd=tmpdir)
+            with ((tmppath / "figure.pdf").open("rb") as orig,
+                  cbook.open_file_cm(fname_or_fh, "wb") as dest):
+                shutil.copyfileobj(orig, dest)  # copy file contents to target
+
+    def print_png(self, fname_or_fh, **kwargs):
+        """Use LaTeX to compile a pgf figure to pdf and convert it to png."""
         converter = make_pdf_to_png_converter()
+        with TemporaryDirectory() as tmpdir:
+            tmppath = pathlib.Path(tmpdir)
+            pdf_path = tmppath / "figure.pdf"
+            png_path = tmppath / "figure.png"
+            self.print_pdf(pdf_path, **kwargs)
+            converter(pdf_path, png_path, dpi=self.figure.dpi)
+            with (png_path.open("rb") as orig,
+                  cbook.open_file_cm(fname_or_fh, "wb") as dest):
+                shutil.copyfileobj(orig, dest)  # copy file contents to target
 
-        try:
-            # create temporary directory for pdf creation and png conversion
-            tmpdir = tempfile.mkdtemp(prefix="mpl_pgf_")
-            fname_pdf = os.path.join(tmpdir, "figure.pdf")
-            fname_png = os.path.join(tmpdir, "figure.png")
-            # create pdf and try to convert it to png
-            self.print_pdf(fname_pdf, *args, **kwargs)
-            converter(fname_pdf, fname_png, dpi=self.figure.dpi)
-            # copy file contents to target
-            with open(fname_png, "rb") as fh_src:
-                shutil.copyfileobj(fh_src, fh)
-        finally:
-            try:
-                shutil.rmtree(tmpdir)
-            except:
-                TmpDirCleaner.add(tmpdir)
+    def get_renderer(self):
+        return RendererPgf(self.figure, None)
 
-    def print_png(self, fname_or_fh, *args, **kwargs):
-        """
-        Use LaTeX to compile a pgf figure to pdf and convert it to png.
-        """
-        if kwargs.get("dryrun", False):
-            self._print_pgf_to_fh(None, *args, **kwargs)
-            return
+    def draw(self):
+        self.figure.draw_without_rendering()
+        return super().draw()
 
-        if is_string_like(fname_or_fh):
-            with open(fname_or_fh, "wb") as fh:
-                self._print_png_to_fh(fh, *args, **kwargs)
-        elif is_writable_file_like(fname_or_fh):
-            self._print_png_to_fh(fname_or_fh, *args, **kwargs)
-        else:
-            raise ValueError("filename must be a path or a file-like object")
 
-    def get_renderer(self):
-        return RendererPgf(self.figure, None, dummy=True)
+FigureManagerPgf = FigureManagerBase
 
 
-class FigureManagerPgf(FigureManagerBase):
-    def __init__(self, *args):
-        FigureManagerBase.__init__(self, *args)
+@_Backend.export
+class _BackendPgf(_Backend):
+    FigureCanvas = FigureCanvasPgf
 
 
-FigureCanvas = FigureCanvasPgf
-FigureManager = FigureManagerPgf
+class PdfPages:
+    """
+    A multi-page PDF file using the pgf backend
+
+    Examples
+    --------
+    >>> import matplotlib.pyplot as plt
+    >>> # Initialize:
+    >>> with PdfPages('foo.pdf') as pdf:
+    ...     # As many times as you like, create a figure fig and save it:
+    ...     fig = plt.figure()
+    ...     pdf.savefig(fig)
+    ...     # When no figure is specified the current figure is saved
+    ...     pdf.savefig()
+    """
 
+    def __init__(self, filename, *, metadata=None):
+        """
+        Create a new PdfPages object.
+
+        Parameters
+        ----------
+        filename : str or path-like
+            Plots using `PdfPages.savefig` will be written to a file at this
+            location. Any older file with the same name is overwritten.
+
+        metadata : dict, optional
+            Information dictionary object (see PDF reference section 10.2.1
+            'Document Information Dictionary'), e.g.:
+            ``{'Creator': 'My software', 'Author': 'Me', 'Title': 'Awesome'}``.
+
+            The standard keys are 'Title', 'Author', 'Subject', 'Keywords',
+            'Creator', 'Producer', 'CreationDate', 'ModDate', and
+            'Trapped'. Values have been predefined for 'Creator', 'Producer'
+            and 'CreationDate'. They can be removed by setting them to `None`.
+
+            Note that some versions of LaTeX engines may ignore the 'Producer'
+            key and set it to themselves.
+        """
+        self._output_name = filename
+        self._n_figures = 0
+        self._metadata = (metadata or {}).copy()
+        self._info_dict = _create_pdf_info_dict('pgf', self._metadata)
+        self._file = BytesIO()
+
+    def _write_header(self, width_inches, height_inches):
+        pdfinfo = ','.join(
+            _metadata_to_str(k, v) for k, v in self._info_dict.items())
+        latex_header = "\n".join([
+            _DOCUMENTCLASS,
+            r"\usepackage[pdfinfo={%s}]{hyperref}" % pdfinfo,
+            r"\usepackage[papersize={%fin,%fin}, margin=0in]{geometry}"
+            % (width_inches, height_inches),
+            r"\usepackage{pgf}",
+            _get_preamble(),
+            r"\setlength{\parindent}{0pt}",
+            r"\begin{document}%",
+        ])
+        self._file.write(latex_header.encode('utf-8'))
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.close()
+
+    def close(self):
+        """
+        Finalize this object, running LaTeX in a temporary directory
+        and moving the final pdf file to *filename*.
+        """
+        self._file.write(rb'\end{document}\n')
+        if self._n_figures > 0:
+            self._run_latex()
+        self._file.close()
+
+    def _run_latex(self):
+        texcommand = mpl.rcParams["pgf.texsystem"]
+        with TemporaryDirectory() as tmpdir:
+            tex_source = pathlib.Path(tmpdir, "pdf_pages.tex")
+            tex_source.write_bytes(self._file.getvalue())
+            cbook._check_and_log_subprocess(
+                [texcommand, "-interaction=nonstopmode", "-halt-on-error",
+                 tex_source],
+                _log, cwd=tmpdir)
+            shutil.move(tex_source.with_suffix(".pdf"), self._output_name)
+
+    def savefig(self, figure=None, **kwargs):
+        """
+        Save a `.Figure` to this file as a new page.
 
-def _cleanup_all():
-    LatexManager._cleanup_remaining_instances()
-    TmpDirCleaner.cleanup_remaining_tmpdirs()
+        Any other keyword arguments are passed to `~.Figure.savefig`.
 
-atexit.register(_cleanup_all)
+        Parameters
+        ----------
+        figure : `.Figure` or int, default: the active figure
+            The figure, or index of the figure, that is saved to the file.
+        """
+        if not isinstance(figure, Figure):
+            if figure is None:
+                manager = Gcf.get_active()
+            else:
+                manager = Gcf.get_fig_manager(figure)
+            if manager is None:
+                raise ValueError(f"No figure {figure}")
+            figure = manager.canvas.figure
+
+        width, height = figure.get_size_inches()
+        if self._n_figures == 0:
+            self._write_header(width, height)
+        else:
+            # \pdfpagewidth and \pdfpageheight exist on pdftex, xetex, and
+            # luatex<0.85; they were renamed to \pagewidth and \pageheight
+            # on luatex>=0.85.
+            self._file.write(
+                rb'\newpage'
+                rb'\ifdefined\pdfpagewidth\pdfpagewidth\else\pagewidth\fi=%fin'
+                rb'\ifdefined\pdfpageheight\pdfpageheight\else\pageheight\fi=%fin'
+                b'%%\n' % (width, height)
+            )
+        figure.savefig(self._file, format="pgf", backend="pgf", **kwargs)
+        self._n_figures += 1
+
+    def get_pagecount(self):
+        """Return the current number of pages in the multipage pdf file."""
+        return self._n_figures
diff --git a/lib/matplotlib/backends/backend_ps.py b/lib/matplotlib/backends/backend_ps.py
index 1474d95d9c26..ea5868387918 100644
--- a/lib/matplotlib/backends/backend_ps.py
+++ b/lib/matplotlib/backends/backend_ps.py
@@ -1,218 +1,415 @@
 """
-A PostScript backend, which can produce both PostScript .ps and .eps
+A PostScript backend, which can produce both PostScript .ps and .eps.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import StringIO
-
-import glob, math, os, shutil, sys, time
-def _fn_name(): return sys._getframe(1).f_code.co_name
-import io
-
-try:
-    from hashlib import md5
-except ImportError:
-    from md5 import md5 #Deprecated in 2.5
-
-from tempfile import mkstemp
-from matplotlib import verbose, __version__, rcParams, checkdep_ghostscript
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.afm import AFM
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureManagerBase, FigureCanvasBase
-
-from matplotlib.cbook import is_string_like, get_realpath_and_stat, \
-    is_writable_file_like, maxdict, file_requires_unicode
-from matplotlib.mlab import quad2cubic
-from matplotlib.figure import Figure
-
-from matplotlib.font_manager import findfont, is_opentype_cff_font
-from matplotlib.ft2font import FT2Font, KERNING_DEFAULT, LOAD_NO_HINTING
-from matplotlib.ttconv import convert_ttf_to_ps
-from matplotlib.mathtext import MathTextParser
+import bisect
+import codecs
+import datetime
+from enum import Enum
+import functools
+from io import StringIO
+import itertools
+import logging
+import math
+import os
+import pathlib
+import shutil
+import struct
+from tempfile import TemporaryDirectory
+import textwrap
+import time
+
+import fontTools
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import _api, cbook, _path, _text_helpers
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, RendererBase)
+from matplotlib.cbook import is_writable_file_like, file_requires_unicode
+from matplotlib.font_manager import get_font
+from matplotlib.ft2font import LoadFlags
 from matplotlib._mathtext_data import uni2type1
-from matplotlib.text import Text
 from matplotlib.path import Path
+from matplotlib.texmanager import TexManager
 from matplotlib.transforms import Affine2D
-
 from matplotlib.backends.backend_mixed import MixedModeRenderer
+from . import _backend_pdf_ps
+
+
+_log = logging.getLogger(__name__)
+debugPS = False
+
+
+papersize = {'letter': (8.5, 11),
+             'legal': (8.5, 14),
+             'ledger': (11, 17),
+             'a0': (33.11, 46.81),
+             'a1': (23.39, 33.11),
+             'a2': (16.54, 23.39),
+             'a3': (11.69, 16.54),
+             'a4': (8.27, 11.69),
+             'a5': (5.83, 8.27),
+             'a6': (4.13, 5.83),
+             'a7': (2.91, 4.13),
+             'a8': (2.05, 2.91),
+             'a9': (1.46, 2.05),
+             'a10': (1.02, 1.46),
+             'b0': (40.55, 57.32),
+             'b1': (28.66, 40.55),
+             'b2': (20.27, 28.66),
+             'b3': (14.33, 20.27),
+             'b4': (10.11, 14.33),
+             'b5': (7.16, 10.11),
+             'b6': (5.04, 7.16),
+             'b7': (3.58, 5.04),
+             'b8': (2.51, 3.58),
+             'b9': (1.76, 2.51),
+             'b10': (1.26, 1.76)}
+
+
+def _nums_to_str(*args, sep=" "):
+    return sep.join(f"{arg:1.3f}".rstrip("0").rstrip(".") for arg in args)
+
+
+def _move_path_to_path_or_stream(src, dst):
+    """
+    Move the contents of file at *src* to path-or-filelike *dst*.
 
+    If *dst* is a path, the metadata of *src* are *not* copied.
+    """
+    if is_writable_file_like(dst):
+        fh = (open(src, encoding='latin-1')
+              if file_requires_unicode(dst)
+              else open(src, 'rb'))
+        with fh:
+            shutil.copyfileobj(fh, dst)
+    else:
+        shutil.move(src, dst, copy_function=shutil.copyfile)
 
-import numpy as np
-import binascii
-import re
-try:
-    set
-except NameError:
-    from sets import Set as set
-
-if sys.platform.startswith('win'): cmd_split = '&'
-else: cmd_split = ';'
 
-backend_version = 'Level II'
+def _font_to_ps_type3(font_path, chars):
+    """
+    Subset *chars* from the font at *font_path* into a Type 3 font.
+
+    Parameters
+    ----------
+    font_path : path-like
+        Path to the font to be subsetted.
+    chars : str
+        The characters to include in the subsetted font.
+
+    Returns
+    -------
+    str
+        The string representation of a Type 3 font, which can be included
+        verbatim into a PostScript file.
+    """
+    font = get_font(font_path, hinting_factor=1)
+    glyph_ids = [font.get_char_index(c) for c in chars]
+
+    preamble = """\
+%!PS-Adobe-3.0 Resource-Font
+%%Creator: Converted from TrueType to Type 3 by Matplotlib.
+10 dict begin
+/FontName /{font_name} def
+/PaintType 0 def
+/FontMatrix [{inv_units_per_em} 0 0 {inv_units_per_em} 0 0] def
+/FontBBox [{bbox}] def
+/FontType 3 def
+/Encoding [{encoding}] def
+/CharStrings {num_glyphs} dict dup begin
+/.notdef 0 def
+""".format(font_name=font.postscript_name,
+           inv_units_per_em=1 / font.units_per_EM,
+           bbox=" ".join(map(str, font.bbox)),
+           encoding=" ".join(f"/{font.get_glyph_name(glyph_id)}"
+                             for glyph_id in glyph_ids),
+           num_glyphs=len(glyph_ids) + 1)
+    postamble = """
+end readonly def
+
+/BuildGlyph {
+ exch begin
+ CharStrings exch
+ 2 copy known not {pop /.notdef} if
+ true 3 1 roll get exec
+ end
+} _d
+
+/BuildChar {
+ 1 index /Encoding get exch get
+ 1 index /BuildGlyph get exec
+} _d
+
+FontName currentdict end definefont pop
+"""
 
-debugPS = 0
+    entries = []
+    for glyph_id in glyph_ids:
+        g = font.load_glyph(glyph_id, LoadFlags.NO_SCALE)
+        v, c = font.get_path()
+        entries.append(
+            "/%(name)s{%(bbox)s sc\n" % {
+                "name": font.get_glyph_name(glyph_id),
+                "bbox": " ".join(map(str, [g.horiAdvance, 0, *g.bbox])),
+            }
+            + _path.convert_to_string(
+                # Convert back to TrueType's internal units (1/64's).
+                # (Other dimensions are already in these units.)
+                Path(v * 64, c), None, None, False, None, 0,
+                # No code for quad Beziers triggers auto-conversion to cubics.
+                # Drop intermediate closepolys (relying on the outline
+                # decomposer always explicitly moving to the closing point
+                # first).
+                [b"m", b"l", b"", b"c", b""], True).decode("ascii")
+            + "ce} _d"
+        )
+
+    return preamble + "\n".join(entries) + postamble
+
+
+def _font_to_ps_type42(font_path, chars, fh):
+    """
+    Subset *chars* from the font at *font_path* into a Type 42 font at *fh*.
+
+    Parameters
+    ----------
+    font_path : path-like
+        Path to the font to be subsetted.
+    chars : str
+        The characters to include in the subsetted font.
+    fh : file-like
+        Where to write the font.
+    """
+    subset_str = ''.join(chr(c) for c in chars)
+    _log.debug("SUBSET %s characters: %s", font_path, subset_str)
+    try:
+        kw = {}
+        # fix this once we support loading more fonts from a collection
+        # https://github.com/matplotlib/matplotlib/issues/3135#issuecomment-571085541
+        if font_path.endswith('.ttc'):
+            kw['fontNumber'] = 0
+        with (fontTools.ttLib.TTFont(font_path, **kw) as font,
+              _backend_pdf_ps.get_glyphs_subset(font_path, subset_str) as subset):
+            fontdata = _backend_pdf_ps.font_as_file(subset).getvalue()
+            _log.debug(
+                "SUBSET %s %d -> %d", font_path, os.stat(font_path).st_size,
+                len(fontdata)
+            )
+            fh.write(_serialize_type42(font, subset, fontdata))
+    except RuntimeError:
+        _log.warning(
+            "The PostScript backend does not currently support the selected font (%s).",
+            font_path)
+        raise
+
+
+def _serialize_type42(font, subset, fontdata):
+    """
+    Output a PostScript Type-42 format representation of font
+
+    Parameters
+    ----------
+    font : fontTools.ttLib.ttFont.TTFont
+        The original font object
+    subset : fontTools.ttLib.ttFont.TTFont
+        The subset font object
+    fontdata : bytes
+        The raw font data in TTF format
+
+    Returns
+    -------
+    str
+        The Type-42 formatted font
+    """
+    version, breakpoints = _version_and_breakpoints(font.get('loca'), fontdata)
+    post = font['post']
+    name = font['name']
+    chars = _generate_charstrings(subset)
+    sfnts = _generate_sfnts(fontdata, subset, breakpoints)
+    return textwrap.dedent(f"""
+        %%!PS-TrueTypeFont-{version[0]}.{version[1]}-{font['head'].fontRevision:.7f}
+        10 dict begin
+        /FontType 42 def
+        /FontMatrix [1 0 0 1 0 0] def
+        /FontName /{name.getDebugName(6)} def
+        /FontInfo 7 dict dup begin
+        /FullName ({name.getDebugName(4)}) def
+        /FamilyName ({name.getDebugName(1)}) def
+        /Version ({name.getDebugName(5)}) def
+        /ItalicAngle {post.italicAngle} def
+        /isFixedPitch {'true' if post.isFixedPitch else 'false'} def
+        /UnderlinePosition {post.underlinePosition} def
+        /UnderlineThickness {post.underlineThickness} def
+        end readonly def
+        /Encoding StandardEncoding def
+        /FontBBox [{_nums_to_str(*_bounds(font))}] def
+        /PaintType 0 def
+        /CIDMap 0 def
+        {chars}
+        {sfnts}
+        FontName currentdict end definefont pop
+        """)
+
+
+def _version_and_breakpoints(loca, fontdata):
+    """
+    Read the version number of the font and determine sfnts breakpoints.
+
+    When a TrueType font file is written as a Type 42 font, it has to be
+    broken into substrings of at most 65535 bytes. These substrings must
+    begin at font table boundaries or glyph boundaries in the glyf table.
+    This function determines all possible breakpoints and it is the caller's
+    responsibility to do the splitting.
+
+    Helper function for _font_to_ps_type42.
+
+    Parameters
+    ----------
+    loca : fontTools.ttLib._l_o_c_a.table__l_o_c_a or None
+        The loca table of the font if available
+    fontdata : bytes
+        The raw data of the font
+
+    Returns
+    -------
+    version : tuple[int, int]
+        A 2-tuple of the major version number and minor version number.
+    breakpoints : list[int]
+        The breakpoints is a sorted list of offsets into fontdata; if loca is not
+        available, just the table boundaries.
+    """
+    v1, v2, numTables = struct.unpack('>3h', fontdata[:6])
+    version = (v1, v2)
+
+    tables = {}
+    for i in range(numTables):
+        tag, _, offset, _ = struct.unpack('>4sIII', fontdata[12 + i*16:12 + (i+1)*16])
+        tables[tag.decode('ascii')] = offset
+    if loca is not None:
+        glyf_breakpoints = {tables['glyf'] + offset for offset in loca.locations[:-1]}
+    else:
+        glyf_breakpoints = set()
+    breakpoints = sorted({*tables.values(), *glyf_breakpoints, len(fontdata)})
 
+    return version, breakpoints
 
-class PsBackendHelper(object):
 
-    def __init__(self):
-        self._cached = {}
+def _bounds(font):
+    """
+    Compute the font bounding box, as if all glyphs were written
+    at the same start position.
 
-    @property
-    def gs_exe(self):
-        """
-        excutable name of ghostscript.
-        """
-        try:
-            return self._cached["gs_exe"]
-        except KeyError:
-            pass
+    Helper function for _font_to_ps_type42.
 
-        gs_exe, gs_version = checkdep_ghostscript()
-        if gs_exe is None:
-            gs_exe = 'gs'
+    Parameters
+    ----------
+    font : fontTools.ttLib.ttFont.TTFont
+        The font
 
-        self._cached["gs_exe"] = gs_exe
-        return gs_exe
+    Returns
+    -------
+    tuple
+        (xMin, yMin, xMax, yMax) of the combined bounding box
+        of all the glyphs in the font
+    """
+    gs = font.getGlyphSet(False)
+    pen = fontTools.pens.boundsPen.BoundsPen(gs)
+    for name in gs.keys():
+        gs[name].draw(pen)
+    return pen.bounds or (0, 0, 0, 0)
 
-    @property
-    def gs_version(self):
-        """
-        version of ghostscript.
-        """
-        try:
-            return self._cached["gs_version"]
-        except KeyError:
-            pass
-
-        from matplotlib.compat.subprocess import Popen, PIPE
-        s = Popen(self.gs_exe + " --version",
-                     shell=True, stdout=PIPE)
-        pipe, stderr = s.communicate()
-        if six.PY3:
-            ver = pipe.decode('ascii')
-        else:
-            ver = pipe
-        try:
-            gs_version = tuple(map(int, ver.strip().split(".")))
-        except ValueError:
-            # if something went wrong parsing return null version number
-            gs_version = (0, 0)
-        self._cached["gs_version"] = gs_version
-        return gs_version
-
-    @property
-    def supports_ps2write(self):
-        """
-        True if the installed ghostscript supports ps2write device.
-        """
-        return self.gs_version[0] >= 9
-
-ps_backend_helper = PsBackendHelper()
-
-papersize = {'letter': (8.5,11),
-             'legal': (8.5,14),
-             'ledger': (11,17),
-             'a0': (33.11,46.81),
-             'a1': (23.39,33.11),
-             'a2': (16.54,23.39),
-             'a3': (11.69,16.54),
-             'a4': (8.27,11.69),
-             'a5': (5.83,8.27),
-             'a6': (4.13,5.83),
-             'a7': (2.91,4.13),
-             'a8': (2.07,2.91),
-             'a9': (1.457,2.05),
-             'a10': (1.02,1.457),
-             'b0': (40.55,57.32),
-             'b1': (28.66,40.55),
-             'b2': (20.27,28.66),
-             'b3': (14.33,20.27),
-             'b4': (10.11,14.33),
-             'b5': (7.16,10.11),
-             'b6': (5.04,7.16),
-             'b7': (3.58,5.04),
-             'b8': (2.51,3.58),
-             'b9': (1.76,2.51),
-             'b10': (1.26,1.76)}
-
-def _get_papertype(w, h):
-    keys = list(six.iterkeys(papersize))
-    keys.sort()
-    keys.reverse()
-    for key in keys:
-        if key.startswith('l'): continue
-        pw, ph = papersize[key]
-        if (w < pw) and (h < ph): return key
-    else:
-        return 'a0'
 
-def _num_to_str(val):
-    if is_string_like(val): return val
+def _generate_charstrings(font):
+    """
+    Transform font glyphs into CharStrings
 
-    ival = int(val)
-    if val==ival: return str(ival)
+    Helper function for _font_to_ps_type42.
 
-    s = "%1.3f"%val
-    s = s.rstrip("0")
-    s = s.rstrip(".")
-    return s
+    Parameters
+    ----------
+    font : fontTools.ttLib.ttFont.TTFont
+        The font
 
-def _nums_to_str(*args):
-    return ' '.join(map(_num_to_str,args))
-
-def quote_ps_string(s):
-    "Quote dangerous characters of S for use in a PostScript string constant."
-    s=s.replace("\\", "\\\\")
-    s=s.replace("(", "\\(")
-    s=s.replace(")", "\\)")
-    s=s.replace("'", "\\251")
-    s=s.replace("`", "\\301")
-    s=re.sub(r"[^ -~\n]", lambda x: r"\%03o"%ord(x.group()), s)
+    Returns
+    -------
+    str
+        A definition of the CharStrings dictionary in PostScript
+    """
+    go = font.getGlyphOrder()
+    s = f'/CharStrings {len(go)} dict dup begin\n'
+    for i, name in enumerate(go):
+        s += f'/{name} {i} def\n'
+    s += 'end readonly def'
     return s
 
 
-def seq_allequal(seq1, seq2):
+def _generate_sfnts(fontdata, font, breakpoints):
     """
-    seq1 and seq2 are either None or sequences or arrays
-    Return True if both are None or both are seqs with identical
-    elements
+    Transform font data into PostScript sfnts format.
+
+    Helper function for _font_to_ps_type42.
+
+    Parameters
+    ----------
+    fontdata : bytes
+        The raw data of the font
+    font : fontTools.ttLib.ttFont.TTFont
+        The fontTools font object
+    breakpoints : list
+        Sorted offsets of possible breakpoints
+
+    Returns
+    -------
+    str
+        The sfnts array for the font definition, consisting
+        of hex-encoded strings in PostScript format
     """
-    if seq1 is None:
-        return seq2 is None
-
-    if seq2 is None:
-        return False
-    #ok, neither are None:, assuming iterable
+    s = '/sfnts['
+    pos = 0
+    while pos < len(fontdata):
+        i = bisect.bisect_left(breakpoints, pos + 65534)
+        newpos = breakpoints[i-1]
+        if newpos <= pos:
+            # have to accept a larger string
+            newpos = breakpoints[-1]
+        s += f'<{fontdata[pos:newpos].hex()}00>'  # Always NUL terminate.
+        pos = newpos
+    s += ']def'
+    return '\n'.join(s[i:i+100] for i in range(0, len(s), 100))
+
+
+def _log_if_debug_on(meth):
+    """
+    Wrap `RendererPS` method *meth* to emit a PS comment with the method name,
+    if the global flag `debugPS` is set.
+    """
+    @functools.wraps(meth)
+    def wrapper(self, *args, **kwargs):
+        if debugPS:
+            self._pswriter.write(f"% {meth.__name__}\n")
+        return meth(self, *args, **kwargs)
 
-    if len(seq1) != len(seq2): return False
-    return np.alltrue(np.equal(seq1, seq2))
+    return wrapper
 
 
-class RendererPS(RendererBase):
+class RendererPS(_backend_pdf_ps.RendererPDFPSBase):
     """
     The renderer handles all the drawing primitives using a graphics
     context instance that controls the colors/styles.
     """
 
-    fontd = maxdict(50)
-    afmfontd = maxdict(50)
+    _afm_font_dir = cbook._get_data_path("fonts/afm")
+    _use_afm_rc_name = "ps.useafm"
 
     def __init__(self, width, height, pswriter, imagedpi=72):
-        """
-        Although postscript itself is dpi independent, we need to
-        imform the image code about a requested dpi to generate high
-        res images and them scale them before embeddin them
-        """
-        RendererBase.__init__(self)
-        self.width = width
-        self.height = height
+        # Although postscript itself is dpi independent, we need to inform the
+        # image code about a requested dpi to generate high resolution images
+        # and then scale them before embedding them.
+        super().__init__(width, height)
         self._pswriter = pswriter
-        if rcParams['text.usetex']:
+        if mpl.rcParams['text.usetex']:
             self.textcnt = 0
             self.psfrag = []
         self.imagedpi = imagedpi
@@ -226,218 +423,119 @@ def __init__(self, width, height, pswriter, imagedpi=72):
         self.fontname = None
         self.fontsize = None
         self._hatches = {}
-        self.image_magnification = imagedpi/72.0
+        self.image_magnification = imagedpi / 72
         self._clip_paths = {}
         self._path_collection_id = 0
 
-        self.used_characters = {}
-        self.mathtext_parser = MathTextParser("PS")
-
-        self._afm_font_dir = os.path.join(
-            rcParams['datapath'], 'fonts', 'afm')
-
-    def track_characters(self, font, s):
-        """Keeps track of which characters are required from
-        each font."""
-        realpath, stat_key = get_realpath_and_stat(font.fname)
-        used_characters = self.used_characters.setdefault(
-            stat_key, (realpath, set()))
-        used_characters[1].update([ord(x) for x in s])
-
-    def merge_used_characters(self, other):
-        for stat_key, (realpath, charset) in six.iteritems(other):
-            used_characters = self.used_characters.setdefault(
-                stat_key, (realpath, set()))
-            used_characters[1].update(charset)
-
-    def set_color(self, r, g, b, store=1):
-        if (r,g,b) != self.color:
-            if r==g and r==b:
-                self._pswriter.write("%1.3f setgray\n"%r)
-            else:
-                self._pswriter.write("%1.3f %1.3f %1.3f setrgbcolor\n"%(r,g,b))
-            if store: self.color = (r,g,b)
-
-    def set_linewidth(self, linewidth, store=1):
+        self._character_tracker = _backend_pdf_ps.CharacterTracker()
+        self._logwarn_once = functools.cache(_log.warning)
+
+    def _is_transparent(self, rgb_or_rgba):
+        if rgb_or_rgba is None:
+            return True  # Consistent with rgbFace semantics.
+        elif len(rgb_or_rgba) == 4:
+            if rgb_or_rgba[3] == 0:
+                return True
+            if rgb_or_rgba[3] != 1:
+                self._logwarn_once(
+                    "The PostScript backend does not support transparency; "
+                    "partially transparent artists will be rendered opaque.")
+            return False
+        else:  # len() == 3.
+            return False
+
+    def set_color(self, r, g, b, store=True):
+        if (r, g, b) != self.color:
+            self._pswriter.write(f"{_nums_to_str(r)} setgray\n"
+                                 if r == g == b else
+                                 f"{_nums_to_str(r, g, b)} setrgbcolor\n")
+            if store:
+                self.color = (r, g, b)
+
+    def set_linewidth(self, linewidth, store=True):
+        linewidth = float(linewidth)
         if linewidth != self.linewidth:
-            self._pswriter.write("%1.3f setlinewidth\n"%linewidth)
-            if store: self.linewidth = linewidth
-
-    def set_linejoin(self, linejoin, store=1):
+            self._pswriter.write(f"{_nums_to_str(linewidth)} setlinewidth\n")
+            if store:
+                self.linewidth = linewidth
+
+    @staticmethod
+    def _linejoin_cmd(linejoin):
+        # Support for directly passing integer values is for backcompat.
+        linejoin = {'miter': 0, 'round': 1, 'bevel': 2, 0: 0, 1: 1, 2: 2}[
+            linejoin]
+        return f"{linejoin:d} setlinejoin\n"
+
+    def set_linejoin(self, linejoin, store=True):
         if linejoin != self.linejoin:
-            self._pswriter.write("%d setlinejoin\n"%linejoin)
-            if store: self.linejoin = linejoin
-
-    def set_linecap(self, linecap, store=1):
+            self._pswriter.write(self._linejoin_cmd(linejoin))
+            if store:
+                self.linejoin = linejoin
+
+    @staticmethod
+    def _linecap_cmd(linecap):
+        # Support for directly passing integer values is for backcompat.
+        linecap = {'butt': 0, 'round': 1, 'projecting': 2, 0: 0, 1: 1, 2: 2}[
+            linecap]
+        return f"{linecap:d} setlinecap\n"
+
+    def set_linecap(self, linecap, store=True):
         if linecap != self.linecap:
-            self._pswriter.write("%d setlinecap\n"%linecap)
-            if store: self.linecap = linecap
+            self._pswriter.write(self._linecap_cmd(linecap))
+            if store:
+                self.linecap = linecap
 
-    def set_linedash(self, offset, seq, store=1):
+    def set_linedash(self, offset, seq, store=True):
         if self.linedash is not None:
             oldo, oldseq = self.linedash
-            if seq_allequal(seq, oldseq): return
-
-        if seq is not None and len(seq):
-            s="[%s] %d setdash\n"%(_nums_to_str(*seq), offset)
-            self._pswriter.write(s)
-        else:
-            self._pswriter.write("[] 0 setdash\n")
-        if store: self.linedash = (offset,seq)
-
-    def set_font(self, fontname, fontsize, store=1):
-        if rcParams['ps.useafm']: return
-        if (fontname,fontsize) != (self.fontname,self.fontsize):
-            out = ("/%s findfont\n"
-                   "%1.3f scalefont\n"
-                   "setfont\n" % (fontname, fontsize))
-
-            self._pswriter.write(out)
-            if store: self.fontname = fontname
-            if store: self.fontsize = fontsize
-
-    def create_hatch(self, hatch):
+            if np.array_equal(seq, oldseq) and oldo == offset:
+                return
+
+        self._pswriter.write(f"[{_nums_to_str(*seq)}] {_nums_to_str(offset)} setdash\n"
+                             if seq is not None and len(seq) else
+                             "[] 0 setdash\n")
+        if store:
+            self.linedash = (offset, seq)
+
+    def set_font(self, fontname, fontsize, store=True):
+        if (fontname, fontsize) != (self.fontname, self.fontsize):
+            self._pswriter.write(f"/{fontname} {fontsize:1.3f} selectfont\n")
+            if store:
+                self.fontname = fontname
+                self.fontsize = fontsize
+
+    def create_hatch(self, hatch, linewidth):
         sidelen = 72
         if hatch in self._hatches:
             return self._hatches[hatch]
         name = 'H%d' % len(self._hatches)
-        self._pswriter.write("""\
+        pageheight = self.height * 72
+        self._pswriter.write(f"""\
   << /PatternType 1
      /PaintType 2
      /TilingType 2
-     /BBox[0 0 %(sidelen)d %(sidelen)d]
-     /XStep %(sidelen)d
-     /YStep %(sidelen)d
+     /BBox[0 0 {sidelen:d} {sidelen:d}]
+     /XStep {sidelen:d}
+     /YStep {sidelen:d}
 
-     /PaintProc {
+     /PaintProc {{
         pop
-        0 setlinewidth
-""" % locals())
-        self._pswriter.write(
-            self._convert_path(Path.hatch(hatch), Affine2D().scale(72.0),
-                               simplify=False))
-        self._pswriter.write("""\
-          stroke
-     } bind
+        {linewidth:g} setlinewidth
+{self._convert_path(Path.hatch(hatch), Affine2D().scale(sidelen), simplify=False)}
+        gsave
+        fill
+        grestore
+        stroke
+     }} bind
    >>
    matrix
+   0 {pageheight:g} translate
    makepattern
-   /%(name)s exch def
-""" % locals())
+   /{name} exch def
+""")
         self._hatches[hatch] = name
         return name
 
-    def get_canvas_width_height(self):
-        'return the canvas width and height in display coords'
-        return self.width, self.height
-
-    def get_text_width_height_descent(self, s, prop, ismath):
-        """
-        get the width and height in display coords of the string s
-        with FontPropertry prop
-
-        """
-        if rcParams['text.usetex']:
-            texmanager = self.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=self)
-            return w, h, d
-
-        if ismath:
-            width, height, descent, pswriter, used_characters = \
-                self.mathtext_parser.parse(s, 72, prop)
-            return width, height, descent
-
-        if rcParams['ps.useafm']:
-            if ismath: s = s[1:-1]
-            font = self._get_font_afm(prop)
-            l,b,w,h,d = font.get_str_bbox_and_descent(s)
-
-            fontsize = prop.get_size_in_points()
-            scale = 0.001*fontsize
-            w *= scale
-            h *= scale
-            d *= scale
-            return w, h, d
-
-        font = self._get_font_ttf(prop)
-        font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
-        w, h = font.get_width_height()
-        w /= 64.0  # convert from subpixels
-        h /= 64.0
-        d = font.get_descent()
-        d /= 64.0
-        #print s, w, h
-        return w, h, d
-
-    def flipy(self):
-        'return true if small y numbers are top for renderer'
-        return False
-
-    def _get_font_afm(self, prop):
-        key = hash(prop)
-        font = self.afmfontd.get(key)
-        if font is None:
-            fname = findfont(prop, fontext='afm', directory=self._afm_font_dir)
-            if fname is None:
-                fname = findfont(
-                    "Helvetica", fontext='afm', directory=self._afm_font_dir)
-            font = self.afmfontd.get(fname)
-            if font is None:
-                with io.open(fname, 'rb') as fh:
-                    font = AFM(fh)
-                self.afmfontd[fname] = font
-            self.afmfontd[key] = font
-        return font
-
-    def _get_font_ttf(self, prop):
-        key = hash(prop)
-        font = self.fontd.get(key)
-        if font is None:
-            fname = findfont(prop)
-            font = self.fontd.get(fname)
-            if font is None:
-                font = FT2Font(fname)
-                self.fontd[fname] = font
-            self.fontd[key] = font
-        font.clear()
-        size = prop.get_size_in_points()
-        font.set_size(size, 72.0)
-        return font
-
-    def _rgba(self, im):
-        return im.as_rgba_str()
-
-    def _rgb(self, im):
-        h,w,s = im.as_rgba_str()
-
-        rgba = np.fromstring(s, np.uint8)
-        rgba.shape = (h, w, 4)
-        rgb = rgba[::-1,:,:3]
-        return h, w, rgb.tostring()
-
-    def _gray(self, im, rc=0.3, gc=0.59, bc=0.11):
-        rgbat = im.as_rgba_str()
-        rgba = np.fromstring(rgbat[2], np.uint8)
-        rgba.shape = (rgbat[0], rgbat[1], 4)
-        rgba = rgba[::-1]
-        rgba_f = rgba.astype(np.float32)
-        r = rgba_f[:,:,0]
-        g = rgba_f[:,:,1]
-        b = rgba_f[:,:,2]
-        gray = (r*rc + g*gc + b*bc).astype(np.uint8)
-        return rgbat[0], rgbat[1], gray.tostring()
-
-    def _hex_lines(self, s, chars_per_line=128):
-        s = binascii.b2a_hex(s)
-        nhex = len(s)
-        lines = []
-        for i in range(0,nhex,chars_per_line):
-            limit = min(i+chars_per_line, nhex)
-            lines.append(s[i:limit])
-        return lines
-
     def get_image_magnification(self):
         """
         Get the factor by which to magnify images passed to draw_image.
@@ -446,163 +544,104 @@ def get_image_magnification(self):
         """
         return self.image_magnification
 
-    def option_scale_image(self):
-        """
-        ps backend support arbitrary scaling of image.
-        """
-        return True
-
-    def _get_image_h_w_bits_command(self, im):
-        if im.is_grayscale:
-            h, w, bits = self._gray(im)
-            imagecmd = "image"
-        else:
-            h, w, bits = self._rgb(im)
-            imagecmd = "false 3 colorimage"
-
-        return h, w, bits, imagecmd
-
-    def draw_image(self, gc, x, y, im, dx=None, dy=None, transform=None):
-        """
-        Draw the Image instance into the current axes; x is the
-        distance in pixels from the left hand side of the canvas and y
-        is the distance from bottom
-
-        dx, dy is the width and height of the image.  If a transform
-        (which must be an affine transform) is given, x, y, dx, dy are
-        interpreted as the coordinate of the transform.
-        """
-
-        h, w, bits, imagecmd = self._get_image_h_w_bits_command(im)
-        hexlines = b'\n'.join(self._hex_lines(bits)).decode('ascii')
-
-        if dx is None:
-            xscale = w / self.image_magnification
-        else:
-            xscale = dx
-
-        if dy is None:
-            yscale = h/self.image_magnification
+    def _convert_path(self, path, transform, clip=False, simplify=None):
+        if clip:
+            clip = (0.0, 0.0, self.width * 72.0, self.height * 72.0)
         else:
-            yscale = dy
+            clip = None
+        return _path.convert_to_string(
+            path, transform, clip, simplify, None,
+            6, [b"m", b"l", b"", b"c", b"cl"], True).decode("ascii")
 
+    def _get_clip_cmd(self, gc):
+        clip = []
+        rect = gc.get_clip_rectangle()
+        if rect is not None:
+            clip.append(f"{_nums_to_str(*rect.p0, *rect.size)} rectclip\n")
+        path, trf = gc.get_clip_path()
+        if path is not None:
+            key = (path, id(trf))
+            custom_clip_cmd = self._clip_paths.get(key)
+            if custom_clip_cmd is None:
+                custom_clip_cmd = "c%d" % len(self._clip_paths)
+                self._pswriter.write(f"""\
+/{custom_clip_cmd} {{
+{self._convert_path(path, trf, simplify=False)}
+clip
+newpath
+}} bind def
+""")
+                self._clip_paths[key] = custom_clip_cmd
+            clip.append(f"{custom_clip_cmd}\n")
+        return "".join(clip)
+
+    @_log_if_debug_on
+    def draw_image(self, gc, x, y, im, transform=None):
+        # docstring inherited
+
+        h, w = im.shape[:2]
+        imagecmd = "false 3 colorimage"
+        data = im[::-1, :, :3]  # Vertically flipped rgb values.
+        hexdata = data.tobytes().hex("\n", -64)  # Linewrap to 128 chars.
 
         if transform is None:
             matrix = "1 0 0 1 0 0"
+            xscale = w / self.image_magnification
+            yscale = h / self.image_magnification
         else:
-            matrix = " ".join(map(str, transform.to_values()))
-
-        figh = self.height*72
-        #print 'values', origin, flipud, figh, h, y
+            matrix = " ".join(map(str, transform.frozen().to_values()))
+            xscale = 1.0
+            yscale = 1.0
 
-        bbox = gc.get_clip_rectangle()
-        clippath, clippath_trans = gc.get_clip_path()
-
-        clip = []
-        if bbox is not None:
-            clipx,clipy,clipw,cliph = bbox.bounds
-            clip.append('%s clipbox' % _nums_to_str(clipw, cliph, clipx, clipy))
-        if clippath is not None:
-            id = self._get_clip_path(clippath, clippath_trans)
-            clip.append('%s' % id)
-        clip = '\n'.join(clip)
-
-        #y = figh-(y+h)
-        ps = """gsave
-%(clip)s
-[%(matrix)s] concat
-%(x)s %(y)s translate
-%(xscale)s %(yscale)s scale
-/DataString %(w)s string def
-%(w)s %(h)s 8 [ %(w)s 0 0 -%(h)s 0 %(h)s ]
-{
+        self._pswriter.write(f"""\
+gsave
+{self._get_clip_cmd(gc)}
+{x:g} {y:g} translate
+[{matrix}] concat
+{xscale:g} {yscale:g} scale
+/DataString {w:d} string def
+{w:d} {h:d} 8 [ {w:d} 0 0 -{h:d} 0 {h:d} ]
+{{
 currentfile DataString readhexstring pop
-} bind %(imagecmd)s
-%(hexlines)s
+}} bind {imagecmd}
+{hexdata}
 grestore
-""" % locals()
-        self._pswriter.write(ps)
-
-    def _convert_path(self, path, transform, clip=False, simplify=None):
-        ps = []
-        last_points = None
-        if clip:
-            clip = (0.0, 0.0, self.width * 72.0,
-                    self.height * 72.0)
-        else:
-            clip = None
-        for points, code in path.iter_segments(transform, clip=clip,
-                                               simplify=simplify):
-            if code == Path.MOVETO:
-                ps.append("%g %g m" % tuple(points))
-            elif code == Path.CLOSEPOLY:
-                ps.append("cl")
-            elif last_points is None:
-                # The other operations require a previous point
-                raise ValueError('Path lacks initial MOVETO')
-            elif code == Path.LINETO:
-                ps.append("%g %g l" % tuple(points))
-            elif code == Path.CURVE3:
-                points = quad2cubic(*(list(last_points[-2:]) + list(points)))
-                ps.append("%g %g %g %g %g %g c" %
-                          tuple(points[2:]))
-            elif code == Path.CURVE4:
-                ps.append("%g %g %g %g %g %g c" % tuple(points))
-            last_points = points
-
-        ps = "\n".join(ps)
-        return ps
-
-    def _get_clip_path(self, clippath, clippath_transform):
-        key = (clippath, id(clippath_transform))
-        pid = self._clip_paths.get(key)
-        if pid is None:
-            pid = 'c%x' % len(self._clip_paths)
-            ps_cmd = ['/%s {' % pid]
-            ps_cmd.append(self._convert_path(clippath, clippath_transform,
-                                             simplify=False))
-            ps_cmd.extend(['clip', 'newpath', '} bind def\n'])
-            self._pswriter.write('\n'.join(ps_cmd))
-            self._clip_paths[key] = pid
-        return pid
+""")
 
+    @_log_if_debug_on
     def draw_path(self, gc, path, transform, rgbFace=None):
-        """
-        Draws a Path instance using the given affine transform.
-        """
-        clip = (rgbFace is None and gc.get_hatch_path() is None)
+        # docstring inherited
+        clip = rgbFace is None and gc.get_hatch_path() is None
         simplify = path.should_simplify and clip
-        ps = self._convert_path(
-            path, transform, clip=clip, simplify=simplify)
+        ps = self._convert_path(path, transform, clip=clip, simplify=simplify)
         self._draw_ps(ps, gc, rgbFace)
 
-    def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
-        """
-        Draw the markers defined by path at each of the positions in x
-        and y.  path coordinates are points, x and y coords will be
-        transformed by the transform
-        """
-        if debugPS: self._pswriter.write('% draw_markers \n')
+    @_log_if_debug_on
+    def draw_markers(
+            self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
+        # docstring inherited
 
-        write = self._pswriter.write
-
-        if rgbFace:
-            if rgbFace[0]==rgbFace[1] and rgbFace[0]==rgbFace[2]:
-                ps_color = '%1.3f setgray' % rgbFace[0]
-            else:
-                ps_color = '%1.3f %1.3f %1.3f setrgbcolor' % rgbFace[:3]
+        ps_color = (
+            None
+            if self._is_transparent(rgbFace)
+            else f'{_nums_to_str(rgbFace[0])} setgray'
+            if rgbFace[0] == rgbFace[1] == rgbFace[2]
+            else f'{_nums_to_str(*rgbFace[:3])} setrgbcolor')
 
         # construct the generic marker command:
-        ps_cmd = ['/o {', 'gsave', 'newpath', 'translate'] # dont want the translate to be global
+
+        # don't want the translate to be global
+        ps_cmd = ['/o {', 'gsave', 'newpath', 'translate']
 
         lw = gc.get_linewidth()
-        stroke = lw != 0.0
+        alpha = (gc.get_alpha()
+                 if gc.get_forced_alpha() or len(gc.get_rgb()) == 3
+                 else gc.get_rgb()[3])
+        stroke = lw > 0 and alpha > 0
         if stroke:
             ps_cmd.append('%.1f setlinewidth' % lw)
-            jint = gc.get_joinstyle()
-            ps_cmd.append('%d setlinejoin' % jint)
-            cint = gc.get_capstyle()
-            ps_cmd.append('%d setlinecap' % cint)
+            ps_cmd.append(self._linejoin_cmd(gc.get_joinstyle()))
+            ps_cmd.append(self._linecap_cmd(gc.get_capstyle()))
 
         ps_cmd.append(self._convert_path(marker_path, marker_trans,
                                          simplify=False))
@@ -610,7 +649,8 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None)
         if rgbFace:
             if stroke:
                 ps_cmd.append('gsave')
-            ps_cmd.extend([ps_color, 'fill'])
+            if ps_color:
+                ps_cmd.extend([ps_color, 'fill'])
             if stroke:
                 ps_cmd.append('grestore')
 
@@ -624,15 +664,18 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None)
                 simplify=False):
             if len(vertices):
                 x, y = vertices[-2:]
-                ps_cmd.append("%g %g o" % (x, y))
+                ps_cmd.append(f"{x:g} {y:g} o")
 
         ps = '\n'.join(ps_cmd)
         self._draw_ps(ps, gc, rgbFace, fill=False, stroke=False)
 
+    @_log_if_debug_on
     def draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
+                             offsets, offset_trans, facecolors, edgecolors,
                              linewidths, linestyles, antialiaseds, urls,
-                             offset_position):
+                             offset_position, *, hatchcolors=None):
+        if hatchcolors is None:
+            hatchcolors = []
         # Is the optimization worth it? Rough calculation:
         # cost of emitting a path in-line is
         #     (len_path + 2) * uses_per_path
@@ -646,207 +689,164 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
         if not should_do_optimization:
             return RendererBase.draw_path_collection(
                 self, gc, master_transform, paths, all_transforms,
-                offsets, offsetTrans, facecolors, edgecolors,
+                offsets, offset_trans, facecolors, edgecolors,
                 linewidths, linestyles, antialiaseds, urls,
-                offset_position)
-
-        write = self._pswriter.write
+                offset_position, hatchcolors=hatchcolors)
 
         path_codes = []
         for i, (path, transform) in enumerate(self._iter_collection_raw_paths(
-            master_transform, paths, all_transforms)):
-            name = 'p%x_%x' % (self._path_collection_id, i)
-            ps_cmd = ['/%s {' % name,
-                      'newpath', 'translate']
-            ps_cmd.append(self._convert_path(path, transform, simplify=False))
-            ps_cmd.extend(['} bind def\n'])
-            write('\n'.join(ps_cmd))
+                master_transform, paths, all_transforms)):
+            name = 'p%d_%d' % (self._path_collection_id, i)
+            path_bytes = self._convert_path(path, transform, simplify=False)
+            self._pswriter.write(f"""\
+/{name} {{
+newpath
+translate
+{path_bytes}
+}} bind def
+""")
             path_codes.append(name)
 
         for xo, yo, path_id, gc0, rgbFace in self._iter_collection(
-            gc, master_transform, all_transforms, path_codes, offsets,
-            offsetTrans, facecolors, edgecolors, linewidths, linestyles,
-            antialiaseds, urls, offset_position):
-            ps = "%g %g %s" % (xo, yo, path_id)
+                gc, path_codes, offsets, offset_trans,
+                facecolors, edgecolors, linewidths, linestyles,
+                antialiaseds, urls, offset_position, hatchcolors=hatchcolors):
+            ps = f"{xo:g} {yo:g} {path_id}"
             self._draw_ps(ps, gc0, rgbFace)
 
         self._path_collection_id += 1
 
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
-        """
-        draw a Text instance
-        """
-        w, h, bl = self.get_text_width_height_descent(s, prop, ismath)
+    @_log_if_debug_on
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
+        if self._is_transparent(gc.get_rgb()):
+            return  # Special handling for fully transparent.
+
+        if not hasattr(self, "psfrag"):
+            self._logwarn_once(
+                "The PS backend determines usetex status solely based on "
+                "rcParams['text.usetex'] and does not support having "
+                "usetex=True only for some elements; this element will thus "
+                "be rendered as if usetex=False.")
+            self.draw_text(gc, x, y, s, prop, angle, False, mtext)
+            return
+
+        w, h, bl = self.get_text_width_height_descent(s, prop, ismath="TeX")
         fontsize = prop.get_size_in_points()
         thetext = 'psmarker%d' % self.textcnt
-        color = '%1.3f,%1.3f,%1.3f'% gc.get_rgb()[:3]
-        fontcmd = {'sans-serif' : r'{\sffamily %s}',
-               'monospace'  : r'{\ttfamily %s}'}.get(
-                rcParams['font.family'][0], r'{\rmfamily %s}')
+        color = _nums_to_str(*gc.get_rgb()[:3], sep=',')
+        fontcmd = {'sans-serif': r'{\sffamily %s}',
+                   'monospace': r'{\ttfamily %s}'}.get(
+                       mpl.rcParams['font.family'][0], r'{\rmfamily %s}')
         s = fontcmd % s
         tex = r'\color[rgb]{%s} %s' % (color, s)
 
-        corr = 0#w/2*(fontsize-10)/10
-        if rcParams['text.latex.preview']:
-            # use baseline alignment!
-            pos = _nums_to_str(x-corr, y)
-            self.psfrag.append(r'\psfrag{%s}[Bl][Bl][1][%f]{\fontsize{%f}{%f}%s}'%(thetext, angle, fontsize, fontsize*1.25, tex))
-        else:
-            # stick to the bottom alignment, but this may give incorrect baseline some times.
-            pos = _nums_to_str(x-corr, y-bl)
-            self.psfrag.append(r'\psfrag{%s}[bl][bl][1][%f]{\fontsize{%f}{%f}%s}'%(thetext, angle, fontsize, fontsize*1.25, tex))
+        # Stick to bottom-left alignment, so subtract descent from the text-normal
+        # direction since text is normally positioned by its baseline.
+        rangle = np.radians(angle + 90)
+        pos = _nums_to_str(x - bl * np.cos(rangle), y - bl * np.sin(rangle))
+        self.psfrag.append(
+            r'\psfrag{%s}[bl][bl][1][%f]{\fontsize{%f}{%f}%s}' % (
+                thetext, angle, fontsize, fontsize*1.25, tex))
 
-        ps = """\
+        self._pswriter.write(f"""\
 gsave
-%(pos)s moveto
-(%(thetext)s)
+{pos} moveto
+({thetext})
 show
 grestore
-    """ % locals()
-
-        self._pswriter.write(ps)
+""")
         self.textcnt += 1
 
+    @_log_if_debug_on
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        """
-        draw a Text instance
-        """
-        # local to avoid repeated attribute lookups
-        write = self._pswriter.write
-        if debugPS:
-            write("% text\n")
+        # docstring inherited
+
+        if self._is_transparent(gc.get_rgb()):
+            return  # Special handling for fully transparent.
 
-        if ismath=='TeX':
-            return self.tex(gc, x, y, s, prop, angle)
+        if ismath == 'TeX':
+            return self.draw_tex(gc, x, y, s, prop, angle)
 
-        elif ismath:
+        if ismath:
             return self.draw_mathtext(gc, x, y, s, prop, angle)
 
-        elif rcParams['ps.useafm']:
-            self.set_color(*gc.get_rgb())
+        stream = []  # list of (ps_name, x, char_name)
 
+        if mpl.rcParams['ps.useafm']:
             font = self._get_font_afm(prop)
-            fontname = font.get_fontname()
-            fontsize = prop.get_size_in_points()
-            scale = 0.001*fontsize
-
+            ps_name = (font.postscript_name.encode("ascii", "replace")
+                        .decode("ascii"))
+            scale = 0.001 * prop.get_size_in_points()
             thisx = 0
-            thisy = font.get_str_bbox_and_descent(s)[4] * scale
-            last_name = None
-            lines = []
+            last_name = None  # kerns returns 0 for None.
             for c in s:
-                name = uni2type1.get(ord(c), 'question')
+                name = uni2type1.get(ord(c), f"uni{ord(c):04X}")
                 try:
                     width = font.get_width_from_char_name(name)
                 except KeyError:
                     name = 'question'
-                    width = font.get_width_char('?')
-                if last_name is not None:
-                    kern = font.get_kern_dist_from_name(last_name, name)
-                else:
-                    kern = 0
+                    width = font.get_width_char(ord('?'))
+                kern = font.get_kern_dist_from_name(last_name, name)
                 last_name = name
                 thisx += kern * scale
-
-                lines.append('%f %f m /%s glyphshow'%(thisx, thisy, name))
-
+                stream.append((ps_name, thisx, name))
                 thisx += width * scale
 
-            thetext = "\n".join(lines)
-            ps = """\
-gsave
-/%(fontname)s findfont
-%(fontsize)s scalefont
-setfont
-%(x)f %(y)f translate
-%(angle)f rotate
-%(thetext)s
-grestore
-    """ % locals()
-            self._pswriter.write(ps)
-
         else:
             font = self._get_font_ttf(prop)
-            font.set_text(s, 0, flags=LOAD_NO_HINTING)
-            self.track_characters(font, s)
-
-            self.set_color(*gc.get_rgb())
-            sfnt = font.get_sfnt()
-            try:
-                ps_name = sfnt[(1,0,0,6)].decode('macroman')
-            except KeyError:
-                ps_name = sfnt[(3,1,0x0409,6)].decode(
-                    'utf-16be')
-            ps_name = ps_name.encode('ascii', 'replace').decode('ascii')
-            self.set_font(ps_name, prop.get_size_in_points())
-
-            cmap = font.get_charmap()
-            lastgind = None
-            #print 'text', s
-            lines = []
-            thisx = 0
-            thisy = 0
-            for c in s:
-                ccode = ord(c)
-                gind = cmap.get(ccode)
-                if gind is None:
-                    ccode = ord('?')
-                    name = '.notdef'
-                    gind = 0
-                else:
-                    name = font.get_glyph_name(gind)
-                glyph = font.load_char(ccode, flags=LOAD_NO_HINTING)
-
-                if lastgind is not None:
-                    kern = font.get_kerning(lastgind, gind, KERNING_DEFAULT)
-                else:
-                    kern = 0
-                lastgind = gind
-                thisx += kern/64.0
-
-                lines.append('%f %f m /%s glyphshow'%(thisx, thisy, name))
-                thisx += glyph.linearHoriAdvance/65536.0
-
-
-            thetext = '\n'.join(lines)
-            ps = """gsave
-%(x)f %(y)f translate
-%(angle)f rotate
-%(thetext)s
-grestore
-""" % locals()
-            self._pswriter.write(ps)
-
-    def new_gc(self):
-        return GraphicsContextPS()
-
-    def draw_mathtext(self, gc,
-        x, y, s, prop, angle):
-        """
-        Draw the math text using matplotlib.mathtext
-        """
-        if debugPS:
-            self._pswriter.write("% mathtext\n")
-
-        width, height, descent, pswriter, used_characters = \
-            self.mathtext_parser.parse(s, 72, prop)
-        self.merge_used_characters(used_characters)
+            self._character_tracker.track(font, s)
+            for item in _text_helpers.layout(s, font):
+                ps_name = (item.ft_object.postscript_name
+                           .encode("ascii", "replace").decode("ascii"))
+                glyph_name = item.ft_object.get_glyph_name(item.glyph_idx)
+                stream.append((ps_name, item.x, glyph_name))
         self.set_color(*gc.get_rgb())
-        thetext = pswriter.getvalue()
-        ps = """gsave
-%(x)f %(y)f translate
-%(angle)f rotate
-%(thetext)s
-grestore
-""" % locals()
-        self._pswriter.write(ps)
 
-    def draw_gouraud_triangle(self, gc, points, colors, trans):
-        self.draw_gouraud_triangles(gc, points.reshape((1, 3, 2)),
-                                    colors.reshape((1, 3, 4)), trans)
+        for ps_name, group in itertools. \
+                groupby(stream, lambda entry: entry[0]):
+            self.set_font(ps_name, prop.get_size_in_points(), False)
+            thetext = "\n".join(f"{x:g} 0 m /{name:s} glyphshow"
+                                for _, x, name in group)
+            self._pswriter.write(f"""\
+gsave
+{self._get_clip_cmd(gc)}
+{x:g} {y:g} translate
+{angle:g} rotate
+{thetext}
+grestore
+""")
 
+    @_log_if_debug_on
+    def draw_mathtext(self, gc, x, y, s, prop, angle):
+        """Draw the math text using matplotlib.mathtext."""
+        width, height, descent, glyphs, rects = \
+            self._text2path.mathtext_parser.parse(s, 72, prop)
+        self.set_color(*gc.get_rgb())
+        self._pswriter.write(
+            f"gsave\n"
+            f"{x:g} {y:g} translate\n"
+            f"{angle:g} rotate\n")
+        lastfont = None
+        for font, fontsize, num, ox, oy in glyphs:
+            self._character_tracker.track_glyph(font, num)
+            if (font.postscript_name, fontsize) != lastfont:
+                lastfont = font.postscript_name, fontsize
+                self._pswriter.write(
+                    f"/{font.postscript_name} {fontsize} selectfont\n")
+            glyph_name = font.get_glyph_name(font.get_char_index(num))
+            self._pswriter.write(
+                f"{ox:g} {oy:g} moveto\n"
+                f"/{glyph_name} glyphshow\n")
+        for ox, oy, w, h in rects:
+            self._pswriter.write(f"{ox} {oy} {w} {h} rectfill\n")
+        self._pswriter.write("grestore\n")
+
+    @_log_if_debug_on
     def draw_gouraud_triangles(self, gc, points, colors, trans):
         assert len(points) == len(colors)
+        if len(points) == 0:
+            return
         assert points.ndim == 3
         assert points.shape[1] == 3
         assert points.shape[2] == 2
@@ -860,23 +860,20 @@ def draw_gouraud_triangles(self, gc, points, colors, trans):
         flat_colors = colors.reshape((shape[0] * shape[1], 4))
         points_min = np.min(flat_points, axis=0) - (1 << 12)
         points_max = np.max(flat_points, axis=0) + (1 << 12)
-        factor = np.ceil(float(2 ** 32 - 1) / (points_max - points_min))
+        factor = np.ceil((2 ** 32 - 1) / (points_max - points_min))
 
         xmin, ymin = points_min
         xmax, ymax = points_max
 
-        streamarr = np.empty(
-            (shape[0] * shape[1],),
-            dtype=[('flags', 'u1'),
-                   ('points', '>u4', (2,)),
-                   ('colors', 'u1', (3,))])
-        streamarr['flags'] = 0
-        streamarr['points'] = (flat_points - points_min) * factor
-        streamarr['colors'] = flat_colors[:, :3] * 255.0
-
-        stream = quote_ps_string(streamarr.tostring())
+        data = np.empty(
+            shape[0] * shape[1],
+            dtype=[('flags', 'u1'), ('points', '2>u4'), ('colors', '3u1')])
+        data['flags'] = 0
+        data['points'] = (flat_points - points_min) * factor
+        data['colors'] = flat_colors[:, :3] * 255.0
+        hexdata = data.tobytes().hex("\n", -64)  # Linewrap to 128 chars.
 
-        self._pswriter.write("""
+        self._pswriter.write(f"""\
 gsave
 << /ShadingType 4
    /ColorSpace [/DeviceRGB]
@@ -884,69 +881,60 @@ def draw_gouraud_triangles(self, gc, points, colors, trans):
    /BitsPerComponent 8
    /BitsPerFlag 8
    /AntiAlias true
-   /Decode [ %(xmin)f %(xmax)f %(ymin)f %(ymax)f 0 1 0 1 0 1 ]
-   /DataSource (%(stream)s)
+   /Decode [ {xmin:g} {xmax:g} {ymin:g} {ymax:g} 0 1 0 1 0 1 ]
+   /DataSource <
+{hexdata}
+>
 >>
 shfill
 grestore
-""" % locals())
+""")
 
-    def _draw_ps(self, ps, gc, rgbFace, fill=True, stroke=True, command=None):
+    def _draw_ps(self, ps, gc, rgbFace, *, fill=True, stroke=True):
         """
-        Emit the PostScript sniplet 'ps' with all the attributes from 'gc'
-        applied.  'ps' must consist of PostScript commands to construct a path.
+        Emit the PostScript snippet *ps* with all the attributes from *gc*
+        applied.  *ps* must consist of PostScript commands to construct a path.
 
-        The fill and/or stroke kwargs can be set to False if the
-        'ps' string already includes filling and/or stroking, in
-        which case _draw_ps is just supplying properties and
-        clipping.
+        The *fill* and/or *stroke* kwargs can be set to False if the *ps*
+        string already includes filling and/or stroking, in which case
+        `_draw_ps` is just supplying properties and clipping.
         """
-        # local variable eliminates all repeated attribute lookups
         write = self._pswriter.write
-        if debugPS and command:
-            write("% "+command+"\n")
-        mightstroke = gc.shouldstroke()
-        stroke = stroke and mightstroke
-        fill = (fill and rgbFace is not None and
-                (len(rgbFace) <= 3 or rgbFace[3] != 0.0))
+        mightstroke = (gc.get_linewidth() > 0
+                       and not self._is_transparent(gc.get_rgb()))
+        if not mightstroke:
+            stroke = False
+        if self._is_transparent(rgbFace):
+            fill = False
+        hatch = gc.get_hatch()
 
         if mightstroke:
             self.set_linewidth(gc.get_linewidth())
-            jint = gc.get_joinstyle()
-            self.set_linejoin(jint)
-            cint = gc.get_capstyle()
-            self.set_linecap(cint)
+            self.set_linejoin(gc.get_joinstyle())
+            self.set_linecap(gc.get_capstyle())
             self.set_linedash(*gc.get_dashes())
+        if mightstroke or hatch:
             self.set_color(*gc.get_rgb()[:3])
         write('gsave\n')
 
-        cliprect = gc.get_clip_rectangle()
-        if cliprect:
-            x,y,w,h=cliprect.bounds
-            write('%1.4g %1.4g %1.4g %1.4g clipbox\n' % (w,h,x,y))
-        clippath, clippath_trans = gc.get_clip_path()
-        if clippath:
-            id = self._get_clip_path(clippath, clippath_trans)
-            write('%s\n' % id)
+        write(self._get_clip_cmd(gc))
 
-        # Jochen, is the strip necessary? - this could be a honking big string
         write(ps.strip())
         write("\n")
 
         if fill:
-            if stroke:
+            if stroke or hatch:
                 write("gsave\n")
-            self.set_color(store=0, *rgbFace[:3])
+            self.set_color(*rgbFace[:3], store=False)
             write("fill\n")
-            if stroke:
+            if stroke or hatch:
                 write("grestore\n")
 
-        hatch = gc.get_hatch()
         if hatch:
-            hatch_name = self.create_hatch(hatch)
+            hatch_name = self.create_hatch(hatch, gc.get_hatch_linewidth())
             write("gsave\n")
-            write("[/Pattern [/DeviceRGB]] setcolorspace %f %f %f " % gc.get_rgb()[:3])
-            write("%s setcolor fill grestore\n" % hatch_name)
+            write(_nums_to_str(*gc.get_hatch_color()[:3]))
+            write(f" {hatch_name} setpattern fill grestore\n")
 
         if stroke:
             write("stroke\n")
@@ -954,461 +942,288 @@ def _draw_ps(self, ps, gc, rgbFace, fill=True, stroke=True, command=None):
         write("grestore\n")
 
 
+class _Orientation(Enum):
+    portrait, landscape = range(2)
 
-class GraphicsContextPS(GraphicsContextBase):
-    def get_capstyle(self):
-        return {'butt':0,
-                'round':1,
-                'projecting':2}[GraphicsContextBase.get_capstyle(self)]
+    def swap_if_landscape(self, shape):
+        return shape[::-1] if self.name == "landscape" else shape
 
-    def get_joinstyle(self):
-        return {'miter':0,
-                'round':1,
-                'bevel':2}[GraphicsContextBase.get_joinstyle(self)]
-
-    def shouldstroke(self):
-        return (self.get_linewidth() > 0.0 and
-                (len(self.get_rgb()) <= 3 or self.get_rgb()[3] != 0.0))
-
-def new_figure_manager(num, *args, **kwargs):
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasPS(figure)
-    manager = FigureManagerPS(canvas, num)
-    return manager
 
 class FigureCanvasPS(FigureCanvasBase):
-    _renderer_class = RendererPS
-
     fixed_dpi = 72
-
-    def draw(self):
-        pass
-
-    filetypes = {'ps'  : 'Postscript',
-                 'eps' : 'Encapsulated Postscript'}
+    filetypes = {'ps': 'Postscript',
+                 'eps': 'Encapsulated Postscript'}
 
     def get_default_filetype(self):
         return 'ps'
 
-    def print_ps(self, outfile, *args, **kwargs):
-        return self._print_ps(outfile, 'ps', *args, **kwargs)
-
-    def print_eps(self, outfile, *args, **kwargs):
-        return self._print_ps(outfile, 'eps', *args, **kwargs)
-
-    def _print_ps(self, outfile, format, *args, **kwargs):
-        papertype = kwargs.pop("papertype", rcParams['ps.papersize'])
+    def _print_ps(
+            self, fmt, outfile, *,
+            metadata=None, papertype=None, orientation='portrait',
+            bbox_inches_restore=None, **kwargs):
+
+        dpi = self.figure.dpi
+        self.figure.dpi = 72  # Override the dpi kwarg
+
+        dsc_comments = {}
+        if isinstance(outfile, (str, os.PathLike)):
+            filename = pathlib.Path(outfile).name
+            dsc_comments["Title"] = \
+                filename.encode("ascii", "replace").decode("ascii")
+        dsc_comments["Creator"] = (metadata or {}).get(
+            "Creator",
+            f"Matplotlib v{mpl.__version__}, https://matplotlib.org/")
+        # See https://reproducible-builds.org/specs/source-date-epoch/
+        source_date_epoch = os.getenv("SOURCE_DATE_EPOCH")
+        dsc_comments["CreationDate"] = (
+            datetime.datetime.fromtimestamp(
+                int(source_date_epoch),
+                datetime.timezone.utc).strftime("%a %b %d %H:%M:%S %Y")
+            if source_date_epoch
+            else time.ctime())
+        dsc_comments = "\n".join(
+            f"%%{k}: {v}" for k, v in dsc_comments.items())
+
+        if papertype is None:
+            papertype = mpl.rcParams['ps.papersize']
         papertype = papertype.lower()
-        if papertype == 'auto':
-            pass
-        elif papertype not in papersize:
-            raise RuntimeError( '%s is not a valid papertype. Use one \
-                    of %s'% (papertype, ', '.join(six.iterkeys(papersize))))
-
-        orientation = kwargs.pop("orientation", "portrait").lower()
-        if orientation == 'landscape': isLandscape = True
-        elif orientation == 'portrait': isLandscape = False
-        else: raise RuntimeError('Orientation must be "portrait" or "landscape"')
-
-        self.figure.set_dpi(72) # Override the dpi kwarg
-        imagedpi = kwargs.pop("dpi", 72)
-        facecolor = kwargs.pop("facecolor", "w")
-        edgecolor = kwargs.pop("edgecolor", "w")
-
-        if rcParams['text.usetex']:
-            self._print_figure_tex(outfile, format, imagedpi, facecolor, edgecolor,
-                                   orientation, isLandscape, papertype,
-                                   **kwargs)
-        else:
-            self._print_figure(outfile, format, imagedpi, facecolor, edgecolor,
-                               orientation, isLandscape, papertype,
-                               **kwargs)
-
-    def _print_figure(self, outfile, format, dpi=72, facecolor='w', edgecolor='w',
-                      orientation='portrait', isLandscape=False, papertype=None,
-                      **kwargs):
+        _api.check_in_list(['figure', *papersize], papertype=papertype)
+
+        orientation = _api.check_getitem(
+            _Orientation, orientation=orientation.lower())
+
+        printer = (self._print_figure_tex
+                   if mpl.rcParams['text.usetex'] else
+                   self._print_figure)
+        printer(fmt, outfile, dpi=dpi, dsc_comments=dsc_comments,
+                orientation=orientation, papertype=papertype,
+                bbox_inches_restore=bbox_inches_restore, **kwargs)
+
+    def _print_figure(
+            self, fmt, outfile, *,
+            dpi, dsc_comments, orientation, papertype,
+            bbox_inches_restore=None):
         """
-        Render the figure to hardcopy.  Set the figure patch face and
-        edge colors.  This is useful because some of the GUIs have a
-        gray figure face color background and you'll probably want to
-        override this on hardcopy
+        Render the figure to a filesystem path or a file-like object.
 
-        If outfile is a string, it is interpreted as a file name.
-        If the extension matches .ep* write encapsulated postscript,
-        otherwise write a stand-alone PostScript file.
-
-        If outfile is a file object, a stand-alone PostScript file is
-        written into this file object.
+        Parameters are as for `.print_figure`, except that *dsc_comments* is a
+        string containing Document Structuring Convention comments,
+        generated from the *metadata* parameter to `.print_figure`.
         """
-        isEPSF = format == 'eps'
-        passed_in_file_object = False
-        if is_string_like(outfile):
-            title = outfile
-        elif is_writable_file_like(outfile):
-            title = None
-            passed_in_file_object = True
-        else:
+        is_eps = fmt == 'eps'
+        if not (isinstance(outfile, (str, os.PathLike))
+                or is_writable_file_like(outfile)):
             raise ValueError("outfile must be a path or a file-like object")
 
         # find the appropriate papertype
         width, height = self.figure.get_size_inches()
-        if papertype == 'auto':
-            if isLandscape: papertype = _get_papertype(height, width)
-            else: papertype = _get_papertype(width, height)
-
-        if isLandscape: paperHeight, paperWidth = papersize[papertype]
-        else: paperWidth, paperHeight = papersize[papertype]
-
-        if rcParams['ps.usedistiller'] and not papertype == 'auto':
-            # distillers will improperly clip eps files if the pagesize is
-            # too small
-            if width>paperWidth or height>paperHeight:
-                if isLandscape:
-                    papertype = _get_papertype(height, width)
-                    paperHeight, paperWidth = papersize[papertype]
-                else:
-                    papertype = _get_papertype(width, height)
-                    paperWidth, paperHeight = papersize[papertype]
+        if is_eps or papertype == 'figure':
+            paper_width, paper_height = width, height
+        else:
+            paper_width, paper_height = orientation.swap_if_landscape(
+                papersize[papertype])
 
         # center the figure on the paper
-        xo = 72*0.5*(paperWidth - width)
-        yo = 72*0.5*(paperHeight - height)
+        xo = 72 * 0.5 * (paper_width - width)
+        yo = 72 * 0.5 * (paper_height - height)
 
-        l, b, w, h = self.figure.bbox.bounds
         llx = xo
         lly = yo
-        urx = llx + w
-        ury = lly + h
+        urx = llx + self.figure.bbox.width
+        ury = lly + self.figure.bbox.height
         rotation = 0
-        if isLandscape:
+        if orientation is _Orientation.landscape:
             llx, lly, urx, ury = lly, llx, ury, urx
-            xo, yo = 72*paperHeight - yo, xo
+            xo, yo = 72 * paper_height - yo, xo
             rotation = 90
         bbox = (llx, lly, urx, ury)
 
-        # generate PostScript code for the figure and store it in a string
-        origfacecolor = self.figure.get_facecolor()
-        origedgecolor = self.figure.get_edgecolor()
-        self.figure.set_facecolor(facecolor)
-        self.figure.set_edgecolor(edgecolor)
-
-
-        dryrun = kwargs.get("dryrun", False)
-        if dryrun:
-            class NullWriter(object):
-                def write(self, *kl, **kwargs):
-                    pass
-
-            self._pswriter = NullWriter()
-        else:
-            self._pswriter = io.StringIO()
-
+        self._pswriter = StringIO()
 
         # mixed mode rendering
-        _bbox_inches_restore = kwargs.pop("bbox_inches_restore", None)
-        ps_renderer = self._renderer_class(width, height, self._pswriter,
-                                           imagedpi=dpi)
-        renderer = MixedModeRenderer(self.figure,
-            width, height, dpi, ps_renderer,
-            bbox_inches_restore=_bbox_inches_restore)
+        ps_renderer = RendererPS(width, height, self._pswriter, imagedpi=dpi)
+        renderer = MixedModeRenderer(
+            self.figure, width, height, dpi, ps_renderer,
+            bbox_inches_restore=bbox_inches_restore)
 
         self.figure.draw(renderer)
 
-        if dryrun: # return immediately if dryrun (tightbbox=True)
-            return
-
-        self.figure.set_facecolor(origfacecolor)
-        self.figure.set_edgecolor(origedgecolor)
-
-        def print_figure_impl():
+        def print_figure_impl(fh):
             # write the PostScript headers
-            if isEPSF: print("%!PS-Adobe-3.0 EPSF-3.0", file=fh)
-            else: print("%!PS-Adobe-3.0", file=fh)
-            if title: print("%%Title: "+title, file=fh)
-            print(("%%Creator: matplotlib version "
-                         +__version__+", http://matplotlib.org/"), file=fh)
-            print("%%CreationDate: "+time.ctime(time.time()), file=fh)
-            print("%%Orientation: " + orientation, file=fh)
-            if not isEPSF: print("%%DocumentPaperSizes: "+papertype, file=fh)
-            print("%%%%BoundingBox: %d %d %d %d" % bbox, file=fh)
-            if not isEPSF: print("%%Pages: 1", file=fh)
-            print("%%EndComments", file=fh)
-
-            Ndict = len(psDefs)
+            if is_eps:
+                print("%!PS-Adobe-3.0 EPSF-3.0", file=fh)
+            else:
+                print("%!PS-Adobe-3.0", file=fh)
+                if papertype != 'figure':
+                    print(f"%%DocumentPaperSizes: {papertype}", file=fh)
+                print("%%Pages: 1", file=fh)
+            print(f"%%LanguageLevel: 3\n"
+                  f"{dsc_comments}\n"
+                  f"%%Orientation: {orientation.name}\n"
+                  f"{_get_bbox_header(bbox)}\n"
+                  f"%%EndComments\n",
+                  end="", file=fh)
+
+            Ndict = len(_psDefs)
             print("%%BeginProlog", file=fh)
-            if not rcParams['ps.useafm']:
-                Ndict += len(ps_renderer.used_characters)
-            print("/mpldict %d dict def"%Ndict, file=fh)
+            if not mpl.rcParams['ps.useafm']:
+                Ndict += len(ps_renderer._character_tracker.used)
+            print("/mpldict %d dict def" % Ndict, file=fh)
             print("mpldict begin", file=fh)
-            for d in psDefs:
-                d=d.strip()
-                for l in d.split('\n'):
-                    print(l.strip(), file=fh)
-            if not rcParams['ps.useafm']:
-                for font_filename, chars in six.itervalues(ps_renderer.used_characters):
-                    if len(chars):
-                        font = FT2Font(font_filename)
-                        cmap = font.get_charmap()
-                        glyph_ids = []
-                        for c in chars:
-                            gind = cmap.get(c) or 0
-                            glyph_ids.append(gind)
-
-                        fonttype = rcParams['ps.fonttype']
-
-                        # Can not use more than 255 characters from a
-                        # single font for Type 3
-                        if len(glyph_ids) > 255:
-                            fonttype = 42
-
-                        # The ttf to ps (subsetting) support doesn't work for
-                        # OpenType fonts that are Postscript inside (like the
-                        # STIX fonts).  This will simply turn that off to avoid
-                        # errors.
-                        if is_opentype_cff_font(font_filename):
-                            raise RuntimeError("OpenType CFF fonts can not be saved using the internal Postscript backend at this time.\nConsider using the Cairo backend.")
-                        else:
-                            fh.flush()
-                            convert_ttf_to_ps(
-                                font_filename.encode(sys.getfilesystemencoding()),
-                                fh, fonttype, glyph_ids)
+            print("\n".join(_psDefs), file=fh)
+            if not mpl.rcParams['ps.useafm']:
+                for font_path, chars \
+                        in ps_renderer._character_tracker.used.items():
+                    if not chars:
+                        continue
+                    fonttype = mpl.rcParams['ps.fonttype']
+                    # Can't use more than 255 chars from a single Type 3 font.
+                    if len(chars) > 255:
+                        fonttype = 42
+                    fh.flush()
+                    if fonttype == 3:
+                        fh.write(_font_to_ps_type3(font_path, chars))
+                    else:  # Type 42 only.
+                        _font_to_ps_type42(font_path, chars, fh)
             print("end", file=fh)
             print("%%EndProlog", file=fh)
 
-            if not isEPSF: print("%%Page: 1 1", file=fh)
+            if not is_eps:
+                print("%%Page: 1 1", file=fh)
             print("mpldict begin", file=fh)
-            #print >>fh, "gsave"
-            print("%s translate"%_nums_to_str(xo, yo), file=fh)
-            if rotation: print("%d rotate"%rotation, file=fh)
-            print("%s clipbox"%_nums_to_str(width*72, height*72, 0, 0), file=fh)
+
+            print("%s translate" % _nums_to_str(xo, yo), file=fh)
+            if rotation:
+                print("%d rotate" % rotation, file=fh)
+            print(f"0 0 {_nums_to_str(width*72, height*72)} rectclip", file=fh)
 
             # write the figure
-            content = self._pswriter.getvalue()
-            if not isinstance(content, six.text_type):
-                content = content.decode('ascii')
-            print(content, file=fh)
+            print(self._pswriter.getvalue(), file=fh)
 
             # write the trailer
-            #print >>fh, "grestore"
             print("end", file=fh)
             print("showpage", file=fh)
-            if not isEPSF: print("%%EOF", file=fh)
+            if not is_eps:
+                print("%%EOF", file=fh)
             fh.flush()
 
-        if rcParams['ps.usedistiller']:
+        if mpl.rcParams['ps.usedistiller']:
             # We are going to use an external program to process the output.
             # Write to a temporary file.
-            fd, tmpfile = mkstemp()
-            with io.open(fd, 'w', encoding='latin-1') as fh:
-                print_figure_impl()
-        else:
-            # Write directly to outfile.
-            if passed_in_file_object:
-                requires_unicode = file_requires_unicode(outfile)
-
-                if (not requires_unicode and
-                    (six.PY3 or not isinstance(outfile, StringIO))):
-                    fh = io.TextIOWrapper(outfile, encoding="latin-1")
-                    # Prevent the io.TextIOWrapper from closing the
-                    # underlying file
-                    def do_nothing():
-                        pass
-                    fh.close = do_nothing
-                else:
-                    fh = outfile
-
-                print_figure_impl()
-            else:
-                with io.open(outfile, 'w', encoding='latin-1') as fh:
-                    print_figure_impl()
-
-        if rcParams['ps.usedistiller']:
-            if rcParams['ps.usedistiller'] == 'ghostscript':
-                gs_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox)
-            elif rcParams['ps.usedistiller'] == 'xpdf':
-                xpdf_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox)
-
-            if passed_in_file_object:
-                if file_requires_unicode(outfile):
-                    with io.open(tmpfile, 'rb') as fh:
-                        outfile.write(fh.read().decode('latin-1'))
-                else:
-                    with io.open(tmpfile, 'rb') as fh:
-                        outfile.write(fh.read())
-            else:
-                with io.open(outfile, 'w') as fh:
-                    pass
-                mode = os.stat(outfile).st_mode
-                shutil.move(tmpfile, outfile)
-                os.chmod(outfile, mode)
-
-    def _print_figure_tex(self, outfile, format, dpi, facecolor, edgecolor,
-                          orientation, isLandscape, papertype,
-                          **kwargs):
+            with TemporaryDirectory() as tmpdir:
+                tmpfile = os.path.join(tmpdir, "tmp.ps")
+                with open(tmpfile, 'w', encoding='latin-1') as fh:
+                    print_figure_impl(fh)
+                if mpl.rcParams['ps.usedistiller'] == 'ghostscript':
+                    _try_distill(gs_distill,
+                                 tmpfile, is_eps, ptype=papertype, bbox=bbox)
+                elif mpl.rcParams['ps.usedistiller'] == 'xpdf':
+                    _try_distill(xpdf_distill,
+                                 tmpfile, is_eps, ptype=papertype, bbox=bbox)
+                _move_path_to_path_or_stream(tmpfile, outfile)
+
+        else:  # Write directly to outfile.
+            with cbook.open_file_cm(outfile, "w", encoding="latin-1") as file:
+                if not file_requires_unicode(file):
+                    file = codecs.getwriter("latin-1")(file)
+                print_figure_impl(file)
+
+    def _print_figure_tex(
+            self, fmt, outfile, *,
+            dpi, dsc_comments, orientation, papertype,
+            bbox_inches_restore=None):
         """
-        If text.usetex is True in rc, a temporary pair of tex/eps files
+        If :rc:`text.usetex` is True, a temporary pair of tex/eps files
         are created to allow tex to manage the text layout via the PSFrags
         package. These files are processed to yield the final ps or eps file.
+
+        The rest of the behavior is as for `._print_figure`.
         """
-        isEPSF = format == 'eps'
-        if is_string_like(outfile):
-            title = outfile
-        elif is_writable_file_like(outfile):
-            title = None
-        else:
-            raise ValueError("outfile must be a path or a file-like object")
+        is_eps = fmt == 'eps'
 
-        self.figure.dpi = 72 # ignore the dpi kwarg
         width, height = self.figure.get_size_inches()
         xo = 0
         yo = 0
 
-        l, b, w, h = self.figure.bbox.bounds
         llx = xo
         lly = yo
-        urx = llx + w
-        ury = lly + h
+        urx = llx + self.figure.bbox.width
+        ury = lly + self.figure.bbox.height
         bbox = (llx, lly, urx, ury)
 
-        # generate PostScript code for the figure and store it in a string
-        origfacecolor = self.figure.get_facecolor()
-        origedgecolor = self.figure.get_edgecolor()
-        self.figure.set_facecolor(facecolor)
-        self.figure.set_edgecolor(edgecolor)
-
-        dryrun = kwargs.get("dryrun", False)
-        if dryrun:
-            class NullWriter(object):
-                def write(self, *kl, **kwargs):
-                    pass
-
-            self._pswriter = NullWriter()
-        else:
-            self._pswriter = io.StringIO()
-
+        self._pswriter = StringIO()
 
         # mixed mode rendering
-        _bbox_inches_restore = kwargs.pop("bbox_inches_restore", None)
-        ps_renderer = self._renderer_class(width, height,
-                                           self._pswriter, imagedpi=dpi)
+        ps_renderer = RendererPS(width, height, self._pswriter, imagedpi=dpi)
         renderer = MixedModeRenderer(self.figure,
-            width, height, dpi, ps_renderer,
-            bbox_inches_restore=_bbox_inches_restore)
+                                     width, height, dpi, ps_renderer,
+                                     bbox_inches_restore=bbox_inches_restore)
 
         self.figure.draw(renderer)
 
-        if dryrun: # return immediately if dryrun (tightbbox=True)
-            return
-
-        self.figure.set_facecolor(origfacecolor)
-        self.figure.set_edgecolor(origedgecolor)
-
         # write to a temp file, we'll move it to outfile when done
-        fd, tmpfile = mkstemp()
-        with io.open(fd, 'w', encoding='latin-1') as fh:
-            # write the Encapsulated PostScript headers
-            print("%!PS-Adobe-3.0 EPSF-3.0", file=fh)
-            if title: print("%%Title: "+title, file=fh)
-            print(("%%Creator: matplotlib version "
-                         +__version__+", http://matplotlib.org/"), file=fh)
-            print("%%CreationDate: "+time.ctime(time.time()), file=fh)
-            print("%%%%BoundingBox: %d %d %d %d" % bbox, file=fh)
-            print("%%EndComments", file=fh)
-
-            Ndict = len(psDefs)
-            print("%%BeginProlog", file=fh)
-            print("/mpldict %d dict def"%Ndict, file=fh)
-            print("mpldict begin", file=fh)
-            for d in psDefs:
-                d=d.strip()
-                for l in d.split('\n'):
-                    print(l.strip(), file=fh)
-            print("end", file=fh)
-            print("%%EndProlog", file=fh)
+        with TemporaryDirectory() as tmpdir:
+            tmppath = pathlib.Path(tmpdir, "tmp.ps")
+            tmppath.write_text(
+                f"""\
+%!PS-Adobe-3.0 EPSF-3.0
+%%LanguageLevel: 3
+{dsc_comments}
+{_get_bbox_header(bbox)}
+%%EndComments
+%%BeginProlog
+/mpldict {len(_psDefs)} dict def
+mpldict begin
+{"".join(_psDefs)}
+end
+%%EndProlog
+mpldict begin
+{_nums_to_str(xo, yo)} translate
+0 0 {_nums_to_str(width*72, height*72)} rectclip
+{self._pswriter.getvalue()}
+end
+showpage
+""",
+                encoding="latin-1")
+
+            if orientation is _Orientation.landscape:  # now, ready to rotate
+                width, height = height, width
+                bbox = (lly, llx, ury, urx)
+
+            # set the paper size to the figure size if is_eps. The
+            # resulting ps file has the given size with correct bounding
+            # box so that there is no need to call 'pstoeps'
+            if is_eps or papertype == 'figure':
+                paper_width, paper_height = orientation.swap_if_landscape(
+                    self.figure.get_size_inches())
+            else:
+                paper_width, paper_height = papersize[papertype]
 
-            print("mpldict begin", file=fh)
-            #print >>fh, "gsave"
-            print("%s translate"%_nums_to_str(xo, yo), file=fh)
-            print("%s clipbox"%_nums_to_str(width*72, height*72, 0, 0), file=fh)
+            psfrag_rotated = _convert_psfrags(
+                tmppath, ps_renderer.psfrag, paper_width, paper_height,
+                orientation.name)
 
-            # write the figure
-            print(self._pswriter.getvalue(), file=fh)
+            if (mpl.rcParams['ps.usedistiller'] == 'ghostscript'
+                    or mpl.rcParams['text.usetex']):
+                _try_distill(gs_distill,
+                             tmppath, is_eps, ptype=papertype, bbox=bbox,
+                             rotated=psfrag_rotated)
+            elif mpl.rcParams['ps.usedistiller'] == 'xpdf':
+                _try_distill(xpdf_distill,
+                             tmppath, is_eps, ptype=papertype, bbox=bbox,
+                             rotated=psfrag_rotated)
 
-            # write the trailer
-            #print >>fh, "grestore"
-            print("end", file=fh)
-            print("showpage", file=fh)
-            fh.flush()
+            _move_path_to_path_or_stream(tmppath, outfile)
 
-        if isLandscape: # now we are ready to rotate
-            isLandscape = True
-            width, height = height, width
-            bbox = (lly, llx, ury, urx)
-
-        # set the paper size to the figure size if isEPSF. The
-        # resulting ps file has the given size with correct bounding
-        # box so that there is no need to call 'pstoeps'
-        if isEPSF:
-            paperWidth, paperHeight = self.figure.get_size_inches()
-            if isLandscape:
-                paperWidth, paperHeight = paperHeight, paperWidth
-        else:
-            temp_papertype = _get_papertype(width, height)
-            if papertype=='auto':
-                papertype = temp_papertype
-                paperWidth, paperHeight = papersize[temp_papertype]
-            else:
-                paperWidth, paperHeight = papersize[papertype]
-                if (width>paperWidth or height>paperHeight) and isEPSF:
-                    paperWidth, paperHeight = papersize[temp_papertype]
-                    verbose.report('Your figure is too big to fit on %s paper. %s \
-    paper will be used to prevent clipping.'%(papertype, temp_papertype), 'helpful')
-
-
-        texmanager = ps_renderer.get_texmanager()
-        font_preamble = texmanager.get_font_preamble()
-        custom_preamble = texmanager.get_custom_preamble()
-
-        psfrag_rotated = convert_psfrags(tmpfile, ps_renderer.psfrag,
-                                         font_preamble,
-                                         custom_preamble, paperWidth, paperHeight,
-                                         orientation)
-
-        if rcParams['ps.usedistiller'] == 'ghostscript':
-            gs_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox,
-                       rotated=psfrag_rotated)
-        elif rcParams['ps.usedistiller'] == 'xpdf':
-            xpdf_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox,
-                         rotated=psfrag_rotated)
-        elif rcParams['text.usetex']:
-            if False: pass # for debugging
-            else: gs_distill(tmpfile, isEPSF, ptype=papertype, bbox=bbox,
-                             rotated=psfrag_rotated)
+    print_ps = functools.partialmethod(_print_ps, "ps")
+    print_eps = functools.partialmethod(_print_ps, "eps")
+
+    def draw(self):
+        self.figure.draw_without_rendering()
+        return super().draw()
 
-        if is_writable_file_like(outfile):
-            if file_requires_unicode(outfile):
-                with io.open(tmpfile, 'rb') as fh:
-                    outfile.write(fh.read().decode('latin-1'))
-            else:
-                with io.open(tmpfile, 'rb') as fh:
-                    outfile.write(fh.read())
-        else:
-            with io.open(outfile, 'wb') as fh:
-                pass
-            mode = os.stat(outfile).st_mode
-            shutil.move(tmpfile, outfile)
-            os.chmod(outfile, mode)
 
-def convert_psfrags(tmpfile, psfrags, font_preamble, custom_preamble,
-                    paperWidth, paperHeight, orientation):
+def _convert_psfrags(tmppath, psfrags, paper_width, paper_height, orientation):
     """
     When we want to use the LaTeX backend with postscript, we write PSFrag tags
     to a temporary postscript file, each one marking a position for LaTeX to
@@ -1416,107 +1231,53 @@ def convert_psfrags(tmpfile, psfrags, font_preamble, custom_preamble,
     commands to convert those tags to text. LaTeX/dvips produces the postscript
     file that includes the actual text.
     """
-    tmpdir = os.path.split(tmpfile)[0]
-    epsfile = tmpfile+'.eps'
-    shutil.move(tmpfile, epsfile)
-    latexfile = tmpfile+'.tex'
-    outfile = tmpfile+'.output'
-    dvifile = tmpfile+'.dvi'
-    psfile = tmpfile+'.ps'
-
-    if orientation=='landscape': angle = 90
-    else: angle = 0
-
-    if rcParams['text.latex.unicode']:
-        unicode_preamble = """\\usepackage{ucs}
-\\usepackage[utf8x]{inputenc}"""
-    else:
-        unicode_preamble = ''
-
-    s = """\\documentclass{article}
-%s
-%s
-%s
-\\usepackage[dvips, papersize={%sin,%sin}, body={%sin,%sin}, margin={0in,0in}]{geometry}
-\\usepackage{psfrag}
-\\usepackage[dvips]{graphicx}
-\\usepackage{color}
-\\pagestyle{empty}
-\\begin{document}
-\\begin{figure}
-\\centering
-\\leavevmode
-%s
-\\includegraphics*[angle=%s]{%s}
-\\end{figure}
-\\end{document}
-"""% (font_preamble, unicode_preamble, custom_preamble, paperWidth, paperHeight,
-      paperWidth, paperHeight,
-      '\n'.join(psfrags), angle, os.path.split(epsfile)[-1])
-
-    with io.open(latexfile, 'wb') as latexh:
-        if rcParams['text.latex.unicode']:
-            latexh.write(s.encode('utf8'))
-        else:
-            try:
-                latexh.write(s.encode('ascii'))
-            except UnicodeEncodeError:
-                verbose.report("You are using unicode and latex, but have "
-                               "not enabled the matplotlib 'text.latex.unicode' "
-                               "rcParam.", 'helpful')
-                raise
-
-    # the split drive part of the command is necessary for windows users with
-    # multiple
-    if sys.platform == 'win32': precmd = '%s &&'% os.path.splitdrive(tmpdir)[0]
-    else: precmd = ''
-    command = '%s cd "%s" && latex -interaction=nonstopmode "%s" > "%s"'\
-                %(precmd, tmpdir, latexfile, outfile)
-    verbose.report(command, 'debug')
-    exit_status = os.system(command)
-
-    with io.open(outfile, 'rb') as fh:
-        if exit_status:
-            raise RuntimeError('LaTeX was not able to process your file:\
-    \nHere is the full report generated by LaTeX: \n\n%s'% fh.read())
-        else:
-            verbose.report(fh.read(), 'debug')
-    os.remove(outfile)
-
-    command = '%s cd "%s" && dvips -q -R0 -o "%s" "%s" > "%s"'%(precmd, tmpdir,
-                os.path.split(psfile)[-1], os.path.split(dvifile)[-1], outfile)
-    verbose.report(command, 'debug')
-    exit_status = os.system(command)
-
-    with io.open(outfile, 'rb') as fh:
-        if exit_status:
-            raise RuntimeError('dvips was not able to \
-    process the following file:\n%s\nHere is the full report generated by dvips: \
-    \n\n'% dvifile + fh.read())
-        else:
-            verbose.report(fh.read(), 'debug')
-    os.remove(outfile)
-    os.remove(epsfile)
-    shutil.move(psfile, tmpfile)
+    with mpl.rc_context({
+            "text.latex.preamble":
+            mpl.rcParams["text.latex.preamble"] +
+            mpl.texmanager._usepackage_if_not_loaded("color") +
+            mpl.texmanager._usepackage_if_not_loaded("graphicx") +
+            mpl.texmanager._usepackage_if_not_loaded("psfrag") +
+            r"\geometry{papersize={%(width)sin,%(height)sin},margin=0in}"
+            % {"width": paper_width, "height": paper_height}
+    }):
+        dvifile = TexManager().make_dvi(
+            "\n"
+            r"\begin{figure}""\n"
+            r"  \centering\leavevmode""\n"
+            r"  %(psfrags)s""\n"
+            r"  \includegraphics*[angle=%(angle)s]{%(epsfile)s}""\n"
+            r"\end{figure}"
+            % {
+                "psfrags": "\n".join(psfrags),
+                "angle": 90 if orientation == 'landscape' else 0,
+                "epsfile": tmppath.resolve().as_posix(),
+            },
+            fontsize=10)  # tex's default fontsize.
+
+    with TemporaryDirectory() as tmpdir:
+        psfile = os.path.join(tmpdir, "tmp.ps")
+        cbook._check_and_log_subprocess(
+            ['dvips', '-q', '-R0', '-o', psfile, dvifile], _log)
+        shutil.move(psfile, tmppath)
 
     # check if the dvips created a ps in landscape paper.  Somehow,
     # above latex+dvips results in a ps file in a landscape mode for a
-    # certain figure sizes (e.g., 8.3in,5.8in which is a5). And the
+    # certain figure sizes (e.g., 8.3in, 5.8in which is a5). And the
     # bounding box of the final output got messed up. We check see if
     # the generated ps file is in landscape and return this
     # information. The return value is used in pstoeps step to recover
     # the correct bounding box. 2010-06-05 JJL
-    with io.open(tmpfile) as fh:
-        if "Landscape" in fh.read(1000):
-            psfrag_rotated = True
-        else:
-            psfrag_rotated = False
+    with open(tmppath) as fh:
+        psfrag_rotated = "Landscape" in fh.read(1000)
+    return psfrag_rotated
 
-    if not debugPS:
-        for fname in glob.glob(tmpfile+'.*'):
-            os.remove(fname)
 
-    return psfrag_rotated
+def _try_distill(func, tmppath, *args, **kwargs):
+    try:
+        func(str(tmppath), *args, **kwargs)
+    except mpl.ExecutableNotFoundError as exc:
+        _log.warning("%s.  Distillation step skipped.", exc)
+
 
 def gs_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False):
     """
@@ -1525,51 +1286,36 @@ def gs_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False):
     operators. The output is low-level, converting text to outlines.
     """
 
-    if eps: paper_option = "-dEPSCrop"
-    else: paper_option = "-sPAPERSIZE=%s" % ptype
-
-    psfile = tmpfile + '.ps'
-    outfile = tmpfile + '.output'
-    dpi = rcParams['ps.distiller.res']
-
-
-    gs_exe = ps_backend_helper.gs_exe
-    if ps_backend_helper.supports_ps2write: # gs version >= 9
-        device_name = "ps2write"
+    if eps:
+        paper_option = ["-dEPSCrop"]
+    elif ptype == "figure":
+        # The bbox will have its lower-left corner at (0, 0), so upper-right
+        # corner corresponds with paper size.
+        paper_option = [f"-dDEVICEWIDTHPOINTS={bbox[2]}",
+                        f"-dDEVICEHEIGHTPOINTS={bbox[3]}"]
     else:
-        device_name = "pswrite"
+        paper_option = [f"-sPAPERSIZE={ptype}"]
 
-    command = '%s -dBATCH -dNOPAUSE -r%d -sDEVICE=%s %s -sOutputFile="%s" \
-                "%s" > "%s"'% (gs_exe, dpi, device_name,
-                               paper_option, psfile, tmpfile, outfile)
+    psfile = tmpfile + '.ps'
+    dpi = mpl.rcParams['ps.distiller.res']
 
-    verbose.report(command, 'debug')
-    exit_status = os.system(command)
+    cbook._check_and_log_subprocess(
+        [mpl._get_executable_info("gs").executable,
+         "-dBATCH", "-dNOPAUSE", "-r%d" % dpi, "-sDEVICE=ps2write",
+         *paper_option, f"-sOutputFile={psfile}", tmpfile],
+        _log)
 
-    with io.open(outfile, 'rb') as fh:
-        if exit_status:
-            raise RuntimeError('ghostscript was not able to process \
-    your image.\nHere is the full report generated by ghostscript:\n\n' + fh.read())
-        else:
-            verbose.report(fh.read(), 'debug')
-    os.remove(outfile)
     os.remove(tmpfile)
     shutil.move(psfile, tmpfile)
 
-
     # While it is best if above steps preserve the original bounding
     # box, there seem to be cases when it is not. For those cases,
     # the original bbox can be restored during the pstoeps step.
 
     if eps:
-        # For some versions of gs, above steps result in an ps file
-        # where the original bbox is no more correct. Do not adjust
-        # bbox for now.
-        if ps_backend_helper.supports_ps2write:
-            # fo gs version >= 9 w/ ps2write device
-            pstoeps(tmpfile, bbox, rotated=rotated)
-        else:
-            pstoeps(tmpfile)
+        # For some versions of gs, above steps result in a ps file where the
+        # original bbox is no more correct. Do not adjust bbox for now.
+        pstoeps(tmpfile, bbox, rotated=rotated)
 
 
 def xpdf_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False):
@@ -1579,106 +1325,51 @@ def xpdf_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False):
     operators. This distiller is preferred, generating high-level postscript
     output that treats text as text.
     """
-    pdffile = tmpfile + '.pdf'
-    psfile = tmpfile + '.ps'
-    outfile = tmpfile + '.output'
-
-    if eps: paper_option = "-dEPSCrop"
-    else: paper_option = "-sPAPERSIZE=%s" % ptype
-
-    command = 'ps2pdf -dAutoFilterColorImages=false \
--sColorImageFilter=FlateEncode %s "%s" "%s" > "%s"'% \
-(paper_option, tmpfile, pdffile, outfile)
-    if sys.platform == 'win32': command = command.replace('=', '#')
-    verbose.report(command, 'debug')
-    exit_status = os.system(command)
-    with io.open(outfile, 'rb') as fh:
-        if exit_status:
-            raise RuntimeError('ps2pdf was not able to process your \
-image.\n\Here is the report generated by ghostscript:\n\n' + fh.read())
-        else:
-            verbose.report(fh.read(), 'debug')
-    os.remove(outfile)
-    command = 'pdftops -paper match -level2 "%s" "%s" > "%s"'% \
-                (pdffile, psfile, outfile)
-    verbose.report(command, 'debug')
-    exit_status = os.system(command)
-
-    with io.open(outfile, 'rb') as fh:
-        if exit_status:
-            raise RuntimeError('pdftops was not able to process your \
-image.\nHere is the full report generated by pdftops: \n\n' + fh.read())
-        else:
-            verbose.report(fh.read(), 'debug')
-    os.remove(outfile)
-    os.remove(tmpfile)
-    shutil.move(psfile, tmpfile)
+    mpl._get_executable_info("gs")  # Effectively checks for ps2pdf.
+    mpl._get_executable_info("pdftops")
 
+    if eps:
+        paper_option = ["-dEPSCrop"]
+    elif ptype == "figure":
+        # The bbox will have its lower-left corner at (0, 0), so upper-right
+        # corner corresponds with paper size.
+        paper_option = [f"-dDEVICEWIDTHPOINTS#{bbox[2]}",
+                        f"-dDEVICEHEIGHTPOINTS#{bbox[3]}"]
+    else:
+        paper_option = [f"-sPAPERSIZE#{ptype}"]
+
+    with TemporaryDirectory() as tmpdir:
+        tmppdf = pathlib.Path(tmpdir, "tmp.pdf")
+        tmpps = pathlib.Path(tmpdir, "tmp.ps")
+        # Pass options as `-foo#bar` instead of `-foo=bar` to keep Windows
+        # happy (https://ghostscript.com/doc/9.56.1/Use.htm#MS_Windows).
+        cbook._check_and_log_subprocess(
+            ["ps2pdf",
+             "-dAutoFilterColorImages#false",
+             "-dAutoFilterGrayImages#false",
+             "-sAutoRotatePages#None",
+             "-sGrayImageFilter#FlateEncode",
+             "-sColorImageFilter#FlateEncode",
+             *paper_option,
+             tmpfile, tmppdf], _log)
+        cbook._check_and_log_subprocess(
+            ["pdftops", "-paper", "match", "-level3", tmppdf, tmpps], _log)
+        shutil.move(tmpps, tmpfile)
     if eps:
         pstoeps(tmpfile)
 
-    for fname in glob.glob(tmpfile+'.*'):
-        os.remove(fname)
-
-def get_bbox_header(lbrt, rotated=False):
-    """
-    return a postscript header stringfor the given bbox lbrt=(l, b, r, t).
-    Optionally, return rotate command.
-    """
 
+def _get_bbox_header(lbrt):
+    """Return a PostScript header string for bounding box *lbrt*=(l, b, r, t)."""
     l, b, r, t = lbrt
-    if  rotated:
-        rotate = "%.2f %.2f  translate\n90 rotate" % (l+r, 0)
-    else:
-        rotate = ""
-    bbox_info = '%%%%BoundingBox: %d %d %d %d' % (l, b, np.ceil(r), np.ceil(t))
-    hires_bbox_info = '%%%%HiResBoundingBox: %.6f %.6f %.6f %.6f' % (l, b, r, t)
-
-    return '\n'.join([bbox_info, hires_bbox_info]), rotate
+    return (f"%%BoundingBox: {int(l)} {int(b)} {math.ceil(r)} {math.ceil(t)}\n"
+            f"%%HiResBoundingBox: {l:.6f} {b:.6f} {r:.6f} {t:.6f}")
 
 
-# get_bbox is deprecated. I don't see any reason to use ghostscript to
-# find the bounding box, as the required bounding box is alread known.
-def get_bbox(tmpfile, bbox):
-    """
-    Use ghostscript's bbox device to find the center of the bounding box. Return
-    an appropriately sized bbox centered around that point. A bit of a hack.
-    """
-
-    outfile = tmpfile + '.output'
-    gs_exe = ps_backend_helper.gs_exe
-    command = '%s -dBATCH -dNOPAUSE -sDEVICE=bbox "%s"' %\
-                (gs_exe, tmpfile)
-    verbose.report(command, 'debug')
-    stdin, stdout, stderr = os.popen3(command)
-    verbose.report(stdout.read(), 'debug-annoying')
-    bbox_info = stderr.read()
-    verbose.report(bbox_info, 'helpful')
-    bbox_found = re.search('%%HiResBoundingBox: .*', bbox_info)
-    if bbox_found:
-        bbox_info = bbox_found.group()
-    else:
-        raise RuntimeError('Ghostscript was not able to extract a bounding box.\
-Here is the Ghostscript output:\n\n%s'% bbox_info)
-    l, b, r, t = [float(i) for i in bbox_info.split()[-4:]]
-
-    # this is a hack to deal with the fact that ghostscript does not return the
-    # intended bbox, but a tight bbox. For now, we just center the ink in the
-    # intended bbox. This is not ideal, users may intend the ink to not be
-    # centered.
-    if bbox is None:
-        l, b, r, t = (l-1, b-1, r+1, t+1)
-    else:
-        x = (l+r)/2
-        y = (b+t)/2
-        dx = (bbox[2]-bbox[0])/2
-        dy = (bbox[3]-bbox[1])/2
-        l,b,r,t = (x-dx, y-dy, x+dx, y+dy)
-
-    bbox_info = '%%%%BoundingBox: %d %d %d %d' % (l, b, np.ceil(r), np.ceil(t))
-    hires_bbox_info = '%%%%HiResBoundingBox: %.6f %.6f %.6f %.6f' % (l, b, r, t)
-
-    return '\n'.join([bbox_info, hires_bbox_info])
+def _get_rotate_command(lbrt):
+    """Return a PostScript 90° rotation command for bounding box *lbrt*=(l, b, r, t)."""
+    l, b, r, t = lbrt
+    return f"{l+r:.2f} {0:.2f} translate\n90 rotate"
 
 
 def pstoeps(tmpfile, bbox=None, rotated=False):
@@ -1688,68 +1379,55 @@ def pstoeps(tmpfile, bbox=None, rotated=False):
     None, original bbox will be used.
     """
 
-    # if rotated==True, the output eps file need to be rotated
-    if bbox:
-        bbox_info, rotate = get_bbox_header(bbox, rotated=rotated)
-    else:
-        bbox_info, rotate = None, None
-
     epsfile = tmpfile + '.eps'
-    with io.open(epsfile, 'wb') as epsh:
+    with open(epsfile, 'wb') as epsh, open(tmpfile, 'rb') as tmph:
         write = epsh.write
-        with io.open(tmpfile, 'rb') as tmph:
-            line = tmph.readline()
-            # Modify the header:
-            while line:
-                if line.startswith(b'%!PS'):
-                    write(b"%!PS-Adobe-3.0 EPSF-3.0\n")
-                    if bbox:
-                        write(bbox_info.encode('ascii') + b'\n')
-                elif line.startswith(b'%%EndComments'):
-                    write(line)
-                    write(b'%%BeginProlog\n')
-                    write(b'save\n')
-                    write(b'countdictstack\n')
-                    write(b'mark\n')
-                    write(b'newpath\n')
-                    write(b'/showpage {} def\n')
-                    write(b'/setpagedevice {pop} def\n')
-                    write(b'%%EndProlog\n')
-                    write(b'%%Page 1 1\n')
-                    if rotate:
-                        write(rotate.encode('ascii') + b'\n')
-                    break
-                elif bbox and (line.startswith(b'%%Bound') \
-                               or line.startswith(b'%%HiResBound') \
-                               or line.startswith(b'%%DocumentMedia') \
-                               or line.startswith(b'%%Pages')):
-                    pass
-                else:
-                    write(line)
-                line = tmph.readline()
-            # Now rewrite the rest of the file, and modify the trailer.
-            # This is done in a second loop such that the header of the embedded
-            # eps file is not modified.
-            line = tmph.readline()
-            while line:
-                if line.startswith(b'%%EOF'):
-                    write(b'cleartomark\n')
-                    write(b'countdictstack\n')
-                    write(b'exch sub { end } repeat\n')
-                    write(b'restore\n')
-                    write(b'%%EOF\n')
-                elif line.startswith(b'%%PageBoundingBox'):
-                    pass
-                else:
-                    write(line)
-                line = tmph.readline()
+        # Modify the header:
+        for line in tmph:
+            if line.startswith(b'%!PS'):
+                write(b"%!PS-Adobe-3.0 EPSF-3.0\n")
+                if bbox:
+                    write(_get_bbox_header(bbox).encode('ascii') + b'\n')
+            elif line.startswith(b'%%EndComments'):
+                write(line)
+                write(b'%%BeginProlog\n'
+                      b'save\n'
+                      b'countdictstack\n'
+                      b'mark\n'
+                      b'newpath\n'
+                      b'/showpage {} def\n'
+                      b'/setpagedevice {pop} def\n'
+                      b'%%EndProlog\n'
+                      b'%%Page 1 1\n')
+                if rotated:  # The output eps file need to be rotated.
+                    write(_get_rotate_command(bbox).encode('ascii') + b'\n')
+                break
+            elif bbox and line.startswith((b'%%Bound', b'%%HiResBound',
+                                           b'%%DocumentMedia', b'%%Pages')):
+                pass
+            else:
+                write(line)
+        # Now rewrite the rest of the file, and modify the trailer.
+        # This is done in a second loop such that the header of the embedded
+        # eps file is not modified.
+        for line in tmph:
+            if line.startswith(b'%%EOF'):
+                write(b'cleartomark\n'
+                      b'countdictstack\n'
+                      b'exch sub { end } repeat\n'
+                      b'restore\n'
+                      b'showpage\n'
+                      b'%%EOF\n')
+            elif line.startswith(b'%%PageBoundingBox'):
+                pass
+            else:
+                write(line)
 
     os.remove(tmpfile)
     shutil.move(epsfile, tmpfile)
 
 
-class FigureManagerPS(FigureManagerBase):
-    pass
+FigureManagerPS = FigureManagerBase
 
 
 # The following Python dictionary psDefs contains the entries for the
@@ -1757,39 +1435,37 @@ class FigureManagerPS(FigureManagerBase):
 # the matplotlib primitives and some abbreviations.
 #
 # References:
-# http://www.adobe.com/products/postscript/pdfs/PLRM.pdf
-# http://www.mactech.com/articles/mactech/Vol.09/09.04/PostscriptTutorial/
+# https://www.adobe.com/content/dam/acom/en/devnet/actionscript/articles/PLRM.pdf
+# http://preserve.mactech.com/articles/mactech/Vol.09/09.04/PostscriptTutorial
 # http://www.math.ubc.ca/people/faculty/cass/graphics/text/www/
 #
 
 # The usage comments use the notation of the operator summary
 # in the PostScript Language reference manual.
-psDefs = [
+_psDefs = [
+    # name proc  *_d*  -
+    # Note that this cannot be bound to /d, because when embedding a Type3 font
+    # we may want to define a "d" glyph using "/d{...} d" which would locally
+    # overwrite the definition.
+    "/_d { bind def } bind def",
     # x y  *m*  -
-    "/m { moveto } bind def",
+    "/m { moveto } _d",
     # x y  *l*  -
-    "/l { lineto } bind def",
+    "/l { lineto } _d",
     # x y  *r*  -
-    "/r { rlineto } bind def",
+    "/r { rlineto } _d",
     # x1 y1 x2 y2 x y *c*  -
-    "/c { curveto } bind def",
-    # *closepath*  -
-    "/cl { closepath } bind def",
-    # w h x y  *box*  -
-    """/box {
-      m
-      1 index 0 r
-      0 exch r
-      neg 0 r
-      cl
-    } bind def""",
-    # w h x y  *clipbox*  -
-    """/clipbox {
-      box
-      clip
-      newpath
-    } bind def""",
+    "/c { curveto } _d",
+    # *cl*  -
+    "/cl { closepath } _d",
+    # *ce*  -
+    "/ce { closepath eofill } _d",
+    # wx wy llx lly urx ury  *setcachedevice*  -
+    "/sc { setcachedevice } _d",
 ]
 
-FigureCanvas = FigureCanvasPS
-FigureManager = FigureManagerPS
+
+@_Backend.export
+class _BackendPS(_Backend):
+    backend_version = 'Level II'
+    FigureCanvas = FigureCanvasPS
diff --git a/lib/matplotlib/backends/backend_qt.py b/lib/matplotlib/backends/backend_qt.py
new file mode 100644
index 000000000000..5cde4866cad7
--- /dev/null
+++ b/lib/matplotlib/backends/backend_qt.py
@@ -0,0 +1,1074 @@
+import functools
+import os
+import sys
+import traceback
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook
+from matplotlib._pylab_helpers import Gcf
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    TimerBase, cursors, ToolContainerBase, MouseButton,
+    CloseEvent, KeyEvent, LocationEvent, MouseEvent, ResizeEvent,
+    _allow_interrupt)
+import matplotlib.backends.qt_editor.figureoptions as figureoptions
+from . import qt_compat
+from .qt_compat import (
+    QtCore, QtGui, QtWidgets, __version__, QT_API, _to_int, _isdeleted)
+
+
+# SPECIAL_KEYS are Qt::Key that do *not* return their Unicode name
+# instead they have manually specified names.
+SPECIAL_KEYS = {
+    _to_int(getattr(QtCore.Qt.Key, k)): v for k, v in [
+        ("Key_Escape", "escape"),
+        ("Key_Tab", "tab"),
+        ("Key_Backspace", "backspace"),
+        ("Key_Return", "enter"),
+        ("Key_Enter", "enter"),
+        ("Key_Insert", "insert"),
+        ("Key_Delete", "delete"),
+        ("Key_Pause", "pause"),
+        ("Key_SysReq", "sysreq"),
+        ("Key_Clear", "clear"),
+        ("Key_Home", "home"),
+        ("Key_End", "end"),
+        ("Key_Left", "left"),
+        ("Key_Up", "up"),
+        ("Key_Right", "right"),
+        ("Key_Down", "down"),
+        ("Key_PageUp", "pageup"),
+        ("Key_PageDown", "pagedown"),
+        ("Key_Shift", "shift"),
+        # In macOS, the control and super (aka cmd/apple) keys are switched.
+        ("Key_Control", "control" if sys.platform != "darwin" else "cmd"),
+        ("Key_Meta", "meta" if sys.platform != "darwin" else "control"),
+        ("Key_Alt", "alt"),
+        ("Key_CapsLock", "caps_lock"),
+        ("Key_F1", "f1"),
+        ("Key_F2", "f2"),
+        ("Key_F3", "f3"),
+        ("Key_F4", "f4"),
+        ("Key_F5", "f5"),
+        ("Key_F6", "f6"),
+        ("Key_F7", "f7"),
+        ("Key_F8", "f8"),
+        ("Key_F9", "f9"),
+        ("Key_F10", "f10"),
+        ("Key_F10", "f11"),
+        ("Key_F12", "f12"),
+        ("Key_Super_L", "super"),
+        ("Key_Super_R", "super"),
+    ]
+}
+# Define which modifier keys are collected on keyboard events.
+# Elements are (Qt::KeyboardModifiers, Qt::Key) tuples.
+# Order determines the modifier order (ctrl+alt+...) reported by Matplotlib.
+_MODIFIER_KEYS = [
+    (_to_int(getattr(QtCore.Qt.KeyboardModifier, mod)),
+     _to_int(getattr(QtCore.Qt.Key, key)))
+    for mod, key in [
+        ("ControlModifier", "Key_Control"),
+        ("AltModifier", "Key_Alt"),
+        ("ShiftModifier", "Key_Shift"),
+        ("MetaModifier", "Key_Meta"),
+    ]
+]
+cursord = {
+    k: getattr(QtCore.Qt.CursorShape, v) for k, v in [
+        (cursors.MOVE, "SizeAllCursor"),
+        (cursors.HAND, "PointingHandCursor"),
+        (cursors.POINTER, "ArrowCursor"),
+        (cursors.SELECT_REGION, "CrossCursor"),
+        (cursors.WAIT, "WaitCursor"),
+        (cursors.RESIZE_HORIZONTAL, "SizeHorCursor"),
+        (cursors.RESIZE_VERTICAL, "SizeVerCursor"),
+    ]
+}
+
+
+# lru_cache keeps a reference to the QApplication instance, keeping it from
+# being GC'd.
+@functools.lru_cache(1)
+def _create_qApp():
+    app = QtWidgets.QApplication.instance()
+
+    # Create a new QApplication and configure it if none exists yet, as only
+    # one QApplication can exist at a time.
+    if app is None:
+        # display_is_valid returns False only if on Linux and neither X11
+        # nor Wayland display can be opened.
+        if not mpl._c_internal_utils.display_is_valid():
+            raise RuntimeError('Invalid DISPLAY variable')
+
+        # Check to make sure a QApplication from a different major version
+        # of Qt is not instantiated in the process
+        if QT_API in {'PyQt6', 'PySide6'}:
+            other_bindings = ('PyQt5', 'PySide2')
+            qt_version = 6
+        elif QT_API in {'PyQt5', 'PySide2'}:
+            other_bindings = ('PyQt6', 'PySide6')
+            qt_version = 5
+        else:
+            raise RuntimeError("Should never be here")
+
+        for binding in other_bindings:
+            mod = sys.modules.get(f'{binding}.QtWidgets')
+            if mod is not None and mod.QApplication.instance() is not None:
+                other_core = sys.modules.get(f'{binding}.QtCore')
+                _api.warn_external(
+                    f'Matplotlib is using {QT_API} which wraps '
+                    f'{QtCore.qVersion()} however an instantiated '
+                    f'QApplication from {binding} which wraps '
+                    f'{other_core.qVersion()} exists.  Mixing Qt major '
+                    'versions may not work as expected.'
+                )
+                break
+        if qt_version == 5:
+            try:
+                QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling)
+            except AttributeError:  # Only for Qt>=5.6, <6.
+                pass
+        try:
+            QtWidgets.QApplication.setHighDpiScaleFactorRoundingPolicy(
+                QtCore.Qt.HighDpiScaleFactorRoundingPolicy.PassThrough)
+        except AttributeError:  # Only for Qt>=5.14.
+            pass
+        app = QtWidgets.QApplication(["matplotlib"])
+        if sys.platform == "darwin":
+            image = str(cbook._get_data_path('images/matplotlib.svg'))
+            icon = QtGui.QIcon(image)
+            app.setWindowIcon(icon)
+        app.setQuitOnLastWindowClosed(True)
+        cbook._setup_new_guiapp()
+        if qt_version == 5:
+            app.setAttribute(QtCore.Qt.AA_UseHighDpiPixmaps)
+
+    return app
+
+
+def _allow_interrupt_qt(qapp_or_eventloop):
+    """A context manager that allows terminating a plot by sending a SIGINT."""
+
+    # Use QSocketNotifier to read the socketpair while the Qt event loop runs.
+
+    def prepare_notifier(rsock):
+        sn = QtCore.QSocketNotifier(rsock.fileno(), QtCore.QSocketNotifier.Type.Read)
+
+        @sn.activated.connect
+        def _may_clear_sock():
+            # Running a Python function on socket activation gives the interpreter a
+            # chance to handle the signal in Python land.  We also need to drain the
+            # socket with recv() to re-arm it, because it will be written to as part of
+            # the wakeup.  (We need this in case set_wakeup_fd catches a signal other
+            # than SIGINT and we shall continue waiting.)
+            try:
+                rsock.recv(1)
+            except BlockingIOError:
+                # This may occasionally fire too soon or more than once on Windows, so
+                # be forgiving about reading an empty socket.
+                pass
+
+        return sn  # Actually keep the notifier alive.
+
+    def handle_sigint():
+        if hasattr(qapp_or_eventloop, 'closeAllWindows'):
+            qapp_or_eventloop.closeAllWindows()
+        qapp_or_eventloop.quit()
+
+    return _allow_interrupt(prepare_notifier, handle_sigint)
+
+
+class TimerQT(TimerBase):
+    """Subclass of `.TimerBase` using QTimer events."""
+
+    def __init__(self, *args, **kwargs):
+        # Create a new timer and connect the timeout() signal to the
+        # _on_timer method.
+        self._timer = QtCore.QTimer()
+        self._timer.timeout.connect(self._on_timer)
+        super().__init__(*args, **kwargs)
+
+    def __del__(self):
+        # The check for deletedness is needed to avoid an error at animation
+        # shutdown with PySide2.
+        if not _isdeleted(self._timer):
+            self._timer_stop()
+
+    def _timer_set_single_shot(self):
+        self._timer.setSingleShot(self._single)
+
+    def _timer_set_interval(self):
+        self._timer.setInterval(self._interval)
+
+    def _timer_start(self):
+        self._timer.start()
+
+    def _timer_stop(self):
+        self._timer.stop()
+
+
+class FigureCanvasQT(FigureCanvasBase, QtWidgets.QWidget):
+    required_interactive_framework = "qt"
+    _timer_cls = TimerQT
+    manager_class = _api.classproperty(lambda cls: FigureManagerQT)
+
+    buttond = {
+        getattr(QtCore.Qt.MouseButton, k): v for k, v in [
+            ("LeftButton", MouseButton.LEFT),
+            ("RightButton", MouseButton.RIGHT),
+            ("MiddleButton", MouseButton.MIDDLE),
+            ("XButton1", MouseButton.BACK),
+            ("XButton2", MouseButton.FORWARD),
+        ]
+    }
+
+    def __init__(self, figure=None):
+        _create_qApp()
+        super().__init__(figure=figure)
+
+        self._draw_pending = False
+        self._is_drawing = False
+        self._draw_rect_callback = lambda painter: None
+        self._in_resize_event = False
+
+        self.setAttribute(QtCore.Qt.WidgetAttribute.WA_OpaquePaintEvent)
+        self.setMouseTracking(True)
+        self.resize(*self.get_width_height())
+
+        palette = QtGui.QPalette(QtGui.QColor("white"))
+        self.setPalette(palette)
+
+    @QtCore.Slot()
+    def _update_pixel_ratio(self):
+        if self._set_device_pixel_ratio(
+                self.devicePixelRatioF() or 1):  # rarely, devicePixelRatioF=0
+            # The easiest way to resize the canvas is to emit a resizeEvent
+            # since we implement all the logic for resizing the canvas for
+            # that event.
+            event = QtGui.QResizeEvent(self.size(), self.size())
+            self.resizeEvent(event)
+
+    @QtCore.Slot(QtGui.QScreen)
+    def _update_screen(self, screen):
+        # Handler for changes to a window's attached screen.
+        self._update_pixel_ratio()
+        if screen is not None:
+            screen.physicalDotsPerInchChanged.connect(self._update_pixel_ratio)
+            screen.logicalDotsPerInchChanged.connect(self._update_pixel_ratio)
+
+    def showEvent(self, event):
+        # Set up correct pixel ratio, and connect to any signal changes for it,
+        # once the window is shown (and thus has these attributes).
+        window = self.window().windowHandle()
+        window.screenChanged.connect(self._update_screen)
+        self._update_screen(window.screen())
+
+    def set_cursor(self, cursor):
+        # docstring inherited
+        self.setCursor(_api.check_getitem(cursord, cursor=cursor))
+
+    def mouseEventCoords(self, pos=None):
+        """
+        Calculate mouse coordinates in physical pixels.
+
+        Qt uses logical pixels, but the figure is scaled to physical
+        pixels for rendering.  Transform to physical pixels so that
+        all of the down-stream transforms work as expected.
+
+        Also, the origin is different and needs to be corrected.
+        """
+        if pos is None:
+            pos = self.mapFromGlobal(QtGui.QCursor.pos())
+        elif hasattr(pos, "position"):  # qt6 QtGui.QEvent
+            pos = pos.position()
+        elif hasattr(pos, "pos"):  # qt5 QtCore.QEvent
+            pos = pos.pos()
+        # (otherwise, it's already a QPoint)
+        x = pos.x()
+        # flip y so y=0 is bottom of canvas
+        y = self.figure.bbox.height / self.device_pixel_ratio - pos.y()
+        return x * self.device_pixel_ratio, y * self.device_pixel_ratio
+
+    def enterEvent(self, event):
+        # Force querying of the modifiers, as the cached modifier state can
+        # have been invalidated while the window was out of focus.
+        mods = QtWidgets.QApplication.instance().queryKeyboardModifiers()
+        if self.figure is None:
+            return
+        LocationEvent("figure_enter_event", self,
+                      *self.mouseEventCoords(event),
+                      modifiers=self._mpl_modifiers(mods),
+                      guiEvent=event)._process()
+
+    def leaveEvent(self, event):
+        QtWidgets.QApplication.restoreOverrideCursor()
+        if self.figure is None:
+            return
+        LocationEvent("figure_leave_event", self,
+                      *self.mouseEventCoords(),
+                      modifiers=self._mpl_modifiers(),
+                      guiEvent=event)._process()
+
+    def mousePressEvent(self, event):
+        button = self.buttond.get(event.button())
+        if button is not None and self.figure is not None:
+            MouseEvent("button_press_event", self,
+                       *self.mouseEventCoords(event), button,
+                       modifiers=self._mpl_modifiers(),
+                       guiEvent=event)._process()
+
+    def mouseDoubleClickEvent(self, event):
+        button = self.buttond.get(event.button())
+        if button is not None and self.figure is not None:
+            MouseEvent("button_press_event", self,
+                       *self.mouseEventCoords(event), button, dblclick=True,
+                       modifiers=self._mpl_modifiers(),
+                       guiEvent=event)._process()
+
+    def mouseMoveEvent(self, event):
+        if self.figure is None:
+            return
+        MouseEvent("motion_notify_event", self,
+                   *self.mouseEventCoords(event),
+                   buttons=self._mpl_buttons(event.buttons()),
+                   modifiers=self._mpl_modifiers(),
+                   guiEvent=event)._process()
+
+    def mouseReleaseEvent(self, event):
+        button = self.buttond.get(event.button())
+        if button is not None and self.figure is not None:
+            MouseEvent("button_release_event", self,
+                       *self.mouseEventCoords(event), button,
+                       modifiers=self._mpl_modifiers(),
+                       guiEvent=event)._process()
+
+    def wheelEvent(self, event):
+        # from QWheelEvent::pixelDelta doc: pixelDelta is sometimes not
+        # provided (`isNull()`) and is unreliable on X11 ("xcb").
+        if (event.pixelDelta().isNull()
+                or QtWidgets.QApplication.instance().platformName() == "xcb"):
+            steps = event.angleDelta().y() / 120
+        else:
+            steps = event.pixelDelta().y()
+        if steps and self.figure is not None:
+            MouseEvent("scroll_event", self,
+                       *self.mouseEventCoords(event), step=steps,
+                       modifiers=self._mpl_modifiers(),
+                       guiEvent=event)._process()
+
+    def keyPressEvent(self, event):
+        key = self._get_key(event)
+        if key is not None and self.figure is not None:
+            KeyEvent("key_press_event", self,
+                     key, *self.mouseEventCoords(),
+                     guiEvent=event)._process()
+
+    def keyReleaseEvent(self, event):
+        key = self._get_key(event)
+        if key is not None and self.figure is not None:
+            KeyEvent("key_release_event", self,
+                     key, *self.mouseEventCoords(),
+                     guiEvent=event)._process()
+
+    def resizeEvent(self, event):
+        if self._in_resize_event:  # Prevent PyQt6 recursion
+            return
+        if self.figure is None:
+            return
+        self._in_resize_event = True
+        try:
+            w = event.size().width() * self.device_pixel_ratio
+            h = event.size().height() * self.device_pixel_ratio
+            dpival = self.figure.dpi
+            winch = w / dpival
+            hinch = h / dpival
+            self.figure.set_size_inches(winch, hinch, forward=False)
+            # pass back into Qt to let it finish
+            QtWidgets.QWidget.resizeEvent(self, event)
+            # emit our resize events
+            ResizeEvent("resize_event", self)._process()
+            self.draw_idle()
+        finally:
+            self._in_resize_event = False
+
+    def sizeHint(self):
+        w, h = self.get_width_height()
+        return QtCore.QSize(w, h)
+
+    def minimumSizeHint(self):
+        return QtCore.QSize(10, 10)
+
+    @staticmethod
+    def _mpl_buttons(buttons):
+        buttons = _to_int(buttons)
+        # State *after* press/release.
+        return {button for mask, button in FigureCanvasQT.buttond.items()
+                if _to_int(mask) & buttons}
+
+    @staticmethod
+    def _mpl_modifiers(modifiers=None, *, exclude=None):
+        if modifiers is None:
+            modifiers = QtWidgets.QApplication.instance().keyboardModifiers()
+        modifiers = _to_int(modifiers)
+        # get names of the pressed modifier keys
+        # 'control' is named 'control' when a standalone key, but 'ctrl' when a
+        # modifier
+        # bit twiddling to pick out modifier keys from modifiers bitmask,
+        # if exclude is a MODIFIER, it should not be duplicated in mods
+        return [SPECIAL_KEYS[key].replace('control', 'ctrl')
+                for mask, key in _MODIFIER_KEYS
+                if exclude != key and modifiers & mask]
+
+    def _get_key(self, event):
+        event_key = event.key()
+        mods = self._mpl_modifiers(exclude=event_key)
+        try:
+            # for certain keys (enter, left, backspace, etc) use a word for the
+            # key, rather than Unicode
+            key = SPECIAL_KEYS[event_key]
+        except KeyError:
+            # Unicode defines code points up to 0x10ffff (sys.maxunicode)
+            # QT will use Key_Codes larger than that for keyboard keys that are
+            # not Unicode characters (like multimedia keys)
+            # skip these
+            # if you really want them, you should add them to SPECIAL_KEYS
+            if event_key > sys.maxunicode:
+                return None
+
+            key = chr(event_key)
+            # qt delivers capitalized letters.  fix capitalization
+            # note that capslock is ignored
+            if 'shift' in mods:
+                mods.remove('shift')
+            else:
+                key = key.lower()
+
+        return '+'.join(mods + [key])
+
+    def flush_events(self):
+        # docstring inherited
+        QtWidgets.QApplication.instance().processEvents()
+
+    def start_event_loop(self, timeout=0):
+        # docstring inherited
+        if hasattr(self, "_event_loop") and self._event_loop.isRunning():
+            raise RuntimeError("Event loop already running")
+        self._event_loop = event_loop = QtCore.QEventLoop()
+        if timeout > 0:
+            _ = QtCore.QTimer.singleShot(int(timeout * 1000), event_loop.quit)
+
+        with _allow_interrupt_qt(event_loop):
+            qt_compat._exec(event_loop)
+
+    def stop_event_loop(self, event=None):
+        # docstring inherited
+        if hasattr(self, "_event_loop"):
+            self._event_loop.quit()
+
+    def draw(self):
+        """Render the figure, and queue a request for a Qt draw."""
+        # The renderer draw is done here; delaying causes problems with code
+        # that uses the result of the draw() to update plot elements.
+        if self._is_drawing:
+            return
+        with cbook._setattr_cm(self, _is_drawing=True):
+            super().draw()
+        self.update()
+
+    def draw_idle(self):
+        """Queue redraw of the Agg buffer and request Qt paintEvent."""
+        # The Agg draw needs to be handled by the same thread Matplotlib
+        # modifies the scene graph from. Post Agg draw request to the
+        # current event loop in order to ensure thread affinity and to
+        # accumulate multiple draw requests from event handling.
+        # TODO: queued signal connection might be safer than singleShot
+        if not (getattr(self, '_draw_pending', False) or
+                getattr(self, '_is_drawing', False)):
+            self._draw_pending = True
+            QtCore.QTimer.singleShot(0, self._draw_idle)
+
+    def blit(self, bbox=None):
+        # docstring inherited
+        if bbox is None and self.figure:
+            bbox = self.figure.bbox  # Blit the entire canvas if bbox is None.
+        # repaint uses logical pixels, not physical pixels like the renderer.
+        l, b, w, h = (int(pt / self.device_pixel_ratio) for pt in bbox.bounds)
+        t = b + h
+        self.repaint(l, self.rect().height() - t, w, h)
+
+    def _draw_idle(self):
+        with self._idle_draw_cntx():
+            if not self._draw_pending:
+                return
+            self._draw_pending = False
+            if self.height() <= 0 or self.width() <= 0:
+                return
+            try:
+                self.draw()
+            except Exception:
+                # Uncaught exceptions are fatal for PyQt5, so catch them.
+                traceback.print_exc()
+
+    def drawRectangle(self, rect):
+        # Draw the zoom rectangle to the QPainter.  _draw_rect_callback needs
+        # to be called at the end of paintEvent.
+        if rect is not None:
+            x0, y0, w, h = (int(pt / self.device_pixel_ratio) for pt in rect)
+            x1 = x0 + w
+            y1 = y0 + h
+            def _draw_rect_callback(painter):
+                pen = QtGui.QPen(
+                    QtGui.QColor("black"),
+                    1 / self.device_pixel_ratio
+                )
+
+                pen.setDashPattern([3, 3])
+                for color, offset in [
+                        (QtGui.QColor("black"), 0),
+                        (QtGui.QColor("white"), 3),
+                ]:
+                    pen.setDashOffset(offset)
+                    pen.setColor(color)
+                    painter.setPen(pen)
+                    # Draw the lines from x0, y0 towards x1, y1 so that the
+                    # dashes don't "jump" when moving the zoom box.
+                    painter.drawLine(x0, y0, x0, y1)
+                    painter.drawLine(x0, y0, x1, y0)
+                    painter.drawLine(x0, y1, x1, y1)
+                    painter.drawLine(x1, y0, x1, y1)
+        else:
+            def _draw_rect_callback(painter):
+                return
+        self._draw_rect_callback = _draw_rect_callback
+        self.update()
+
+
+class MainWindow(QtWidgets.QMainWindow):
+    closing = QtCore.Signal()
+
+    def closeEvent(self, event):
+        self.closing.emit()
+        super().closeEvent(event)
+
+
+class FigureManagerQT(FigureManagerBase):
+    """
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        The FigureCanvas instance
+    num : int or str
+        The Figure number
+    toolbar : qt.QToolBar
+        The qt.QToolBar
+    window : qt.QMainWindow
+        The qt.QMainWindow
+    """
+
+    def __init__(self, canvas, num):
+        self.window = MainWindow()
+        super().__init__(canvas, num)
+        self.window.closing.connect(self._widgetclosed)
+
+        if sys.platform != "darwin":
+            image = str(cbook._get_data_path('images/matplotlib.svg'))
+            icon = QtGui.QIcon(image)
+            self.window.setWindowIcon(icon)
+
+        self.window._destroying = False
+
+        if self.toolbar:
+            self.window.addToolBar(self.toolbar)
+            tbs_height = self.toolbar.sizeHint().height()
+        else:
+            tbs_height = 0
+
+        # resize the main window so it will display the canvas with the
+        # requested size:
+        cs = canvas.sizeHint()
+        cs_height = cs.height()
+        height = cs_height + tbs_height
+        self.window.resize(cs.width(), height)
+
+        self.window.setCentralWidget(self.canvas)
+
+        if mpl.is_interactive():
+            self.window.show()
+            self.canvas.draw_idle()
+
+        # Give the keyboard focus to the figure instead of the manager:
+        # StrongFocus accepts both tab and click to focus and will enable the
+        # canvas to process event without clicking.
+        # https://doc.qt.io/qt-5/qt.html#FocusPolicy-enum
+        self.canvas.setFocusPolicy(QtCore.Qt.FocusPolicy.StrongFocus)
+        self.canvas.setFocus()
+
+        self.window.raise_()
+
+    def full_screen_toggle(self):
+        if self.window.isFullScreen():
+            self.window.showNormal()
+        else:
+            self.window.showFullScreen()
+
+    def _widgetclosed(self):
+        CloseEvent("close_event", self.canvas)._process()
+        if self.window._destroying:
+            return
+        self.window._destroying = True
+        try:
+            Gcf.destroy(self)
+        except AttributeError:
+            pass
+            # It seems that when the python session is killed,
+            # Gcf can get destroyed before the Gcf.destroy
+            # line is run, leading to a useless AttributeError.
+
+    def resize(self, width, height):
+        # The Qt methods return sizes in 'virtual' pixels so we do need to
+        # rescale from physical to logical pixels.
+        width = int(width / self.canvas.device_pixel_ratio)
+        height = int(height / self.canvas.device_pixel_ratio)
+        extra_width = self.window.width() - self.canvas.width()
+        extra_height = self.window.height() - self.canvas.height()
+        self.canvas.resize(width, height)
+        self.window.resize(width + extra_width, height + extra_height)
+
+    @classmethod
+    def start_main_loop(cls):
+        qapp = QtWidgets.QApplication.instance()
+        if qapp:
+            with _allow_interrupt_qt(qapp):
+                qt_compat._exec(qapp)
+
+    def show(self):
+        self.window._destroying = False
+        self.window.show()
+        if mpl.rcParams['figure.raise_window']:
+            self.window.activateWindow()
+            self.window.raise_()
+
+    def destroy(self, *args):
+        # check for qApp first, as PySide deletes it in its atexit handler
+        if QtWidgets.QApplication.instance() is None:
+            return
+        if self.window._destroying:
+            return
+        self.window._destroying = True
+        if self.toolbar:
+            self.toolbar.destroy()
+        self.window.close()
+
+    def get_window_title(self):
+        return self.window.windowTitle()
+
+    def set_window_title(self, title):
+        self.window.setWindowTitle(title)
+
+
+class NavigationToolbar2QT(NavigationToolbar2, QtWidgets.QToolBar):
+    toolitems = [*NavigationToolbar2.toolitems]
+    toolitems.insert(
+        # Add 'customize' action after 'subplots'
+        [name for name, *_ in toolitems].index("Subplots") + 1,
+        ("Customize", "Edit axis, curve and image parameters",
+         "qt4_editor_options", "edit_parameters"))
+
+    def __init__(self, canvas, parent=None, coordinates=True):
+        """coordinates: should we show the coordinates on the right?"""
+        QtWidgets.QToolBar.__init__(self, parent)
+        self.setAllowedAreas(QtCore.Qt.ToolBarArea(
+            _to_int(QtCore.Qt.ToolBarArea.TopToolBarArea) |
+            _to_int(QtCore.Qt.ToolBarArea.BottomToolBarArea)))
+        self.coordinates = coordinates
+        self._actions = {}  # mapping of toolitem method names to QActions.
+        self._subplot_dialog = None
+
+        for text, tooltip_text, image_file, callback in self.toolitems:
+            if text is None:
+                self.addSeparator()
+            else:
+                slot = getattr(self, callback)
+                # https://bugreports.qt.io/browse/PYSIDE-2512
+                slot = functools.wraps(slot)(functools.partial(slot))
+                slot = QtCore.Slot()(slot)
+
+                a = self.addAction(self._icon(image_file + '.png'),
+                                   text, slot)
+                self._actions[callback] = a
+                if callback in ['zoom', 'pan']:
+                    a.setCheckable(True)
+                if tooltip_text is not None:
+                    a.setToolTip(tooltip_text)
+
+        # Add the (x, y) location widget at the right side of the toolbar
+        # The stretch factor is 1 which means any resizing of the toolbar
+        # will resize this label instead of the buttons.
+        if self.coordinates:
+            self.locLabel = QtWidgets.QLabel("", self)
+            self.locLabel.setAlignment(QtCore.Qt.AlignmentFlag(
+                _to_int(QtCore.Qt.AlignmentFlag.AlignRight) |
+                _to_int(QtCore.Qt.AlignmentFlag.AlignVCenter)))
+
+            self.locLabel.setSizePolicy(QtWidgets.QSizePolicy(
+                QtWidgets.QSizePolicy.Policy.Expanding,
+                QtWidgets.QSizePolicy.Policy.Ignored,
+            ))
+            labelAction = self.addWidget(self.locLabel)
+            labelAction.setVisible(True)
+
+        NavigationToolbar2.__init__(self, canvas)
+
+    def _icon(self, name):
+        """
+        Construct a `.QIcon` from an image file *name*, including the extension
+        and relative to Matplotlib's "images" data directory.
+        """
+        # use a high-resolution icon with suffix '_large' if available
+        # note: user-provided icons may not have '_large' versions
+        path_regular = cbook._get_data_path('images', name)
+        path_large = path_regular.with_name(
+            path_regular.name.replace('.png', '_large.png'))
+        filename = str(path_large if path_large.exists() else path_regular)
+
+        pm = QtGui.QPixmap(filename)
+        pm.setDevicePixelRatio(
+            self.devicePixelRatioF() or 1)  # rarely, devicePixelRatioF=0
+        if self.palette().color(self.backgroundRole()).value() < 128:
+            icon_color = self.palette().color(self.foregroundRole())
+            mask = pm.createMaskFromColor(
+                QtGui.QColor('black'),
+                QtCore.Qt.MaskMode.MaskOutColor)
+            pm.fill(icon_color)
+            pm.setMask(mask)
+        return QtGui.QIcon(pm)
+
+    def edit_parameters(self):
+        axes = self.canvas.figure.get_axes()
+        if not axes:
+            QtWidgets.QMessageBox.warning(
+                self.canvas.parent(), "Error", "There are no Axes to edit.")
+            return
+        elif len(axes) == 1:
+            ax, = axes
+        else:
+            titles = [
+                ax.get_label() or
+                ax.get_title() or
+                ax.get_title("left") or
+                ax.get_title("right") or
+                " - ".join(filter(None, [ax.get_xlabel(), ax.get_ylabel()])) or
+                f"<anonymous {type(ax).__name__}>"
+                for ax in axes]
+            duplicate_titles = [
+                title for title in titles if titles.count(title) > 1]
+            for i, ax in enumerate(axes):
+                if titles[i] in duplicate_titles:
+                    titles[i] += f" (id: {id(ax):#x})"  # Deduplicate titles.
+            item, ok = QtWidgets.QInputDialog.getItem(
+                self.canvas.parent(),
+                'Customize', 'Select Axes:', titles, 0, False)
+            if not ok:
+                return
+            ax = axes[titles.index(item)]
+        figureoptions.figure_edit(ax, self)
+
+    def _update_buttons_checked(self):
+        # sync button checkstates to match active mode
+        if 'pan' in self._actions:
+            self._actions['pan'].setChecked(self.mode.name == 'PAN')
+        if 'zoom' in self._actions:
+            self._actions['zoom'].setChecked(self.mode.name == 'ZOOM')
+
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
+
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
+
+    def set_message(self, s):
+        if self.coordinates:
+            self.locLabel.setText(s)
+
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        height = self.canvas.figure.bbox.height
+        y1 = height - y1
+        y0 = height - y0
+        rect = [int(val) for val in (x0, y0, x1 - x0, y1 - y0)]
+        self.canvas.drawRectangle(rect)
+
+    def remove_rubberband(self):
+        self.canvas.drawRectangle(None)
+
+    def configure_subplots(self):
+        if self._subplot_dialog is None:
+            self._subplot_dialog = SubplotToolQt(
+                self.canvas.figure, self.canvas.parent())
+            self.canvas.mpl_connect(
+                "close_event", lambda e: self._subplot_dialog.reject())
+        self._subplot_dialog.update_from_current_subplotpars()
+        self._subplot_dialog.setModal(True)
+        self._subplot_dialog.show()
+        return self._subplot_dialog
+
+    def save_figure(self, *args):
+        filetypes = self.canvas.get_supported_filetypes_grouped()
+        sorted_filetypes = sorted(filetypes.items())
+        default_filetype = self.canvas.get_default_filetype()
+
+        startpath = os.path.expanduser(mpl.rcParams['savefig.directory'])
+        start = os.path.join(startpath, self.canvas.get_default_filename())
+        filters = []
+        selectedFilter = None
+        for name, exts in sorted_filetypes:
+            exts_list = " ".join(['*.%s' % ext for ext in exts])
+            filter = f'{name} ({exts_list})'
+            if default_filetype in exts:
+                selectedFilter = filter
+            filters.append(filter)
+        filters = ';;'.join(filters)
+
+        fname, filter = QtWidgets.QFileDialog.getSaveFileName(
+            self.canvas.parent(), "Choose a filename to save to", start,
+            filters, selectedFilter)
+        if fname:
+            # Save dir for next time, unless empty str (i.e., use cwd).
+            if startpath != "":
+                mpl.rcParams['savefig.directory'] = os.path.dirname(fname)
+            try:
+                self.canvas.figure.savefig(fname)
+            except Exception as e:
+                QtWidgets.QMessageBox.critical(
+                    self, "Error saving file", str(e),
+                    QtWidgets.QMessageBox.StandardButton.Ok,
+                    QtWidgets.QMessageBox.StandardButton.NoButton)
+        return fname
+
+    def set_history_buttons(self):
+        can_backward = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if 'back' in self._actions:
+            self._actions['back'].setEnabled(can_backward)
+        if 'forward' in self._actions:
+            self._actions['forward'].setEnabled(can_forward)
+
+
+class SubplotToolQt(QtWidgets.QDialog):
+    def __init__(self, targetfig, parent):
+        super().__init__(parent)
+        self.setWindowIcon(QtGui.QIcon(
+            str(cbook._get_data_path("images/matplotlib.png"))))
+        self.setObjectName("SubplotTool")
+        self._spinboxes = {}
+        main_layout = QtWidgets.QHBoxLayout()
+        self.setLayout(main_layout)
+        for group, spinboxes, buttons in [
+                ("Borders",
+                 ["top", "bottom", "left", "right"],
+                 [("Export values", self._export_values)]),
+                ("Spacings",
+                 ["hspace", "wspace"],
+                 [("Tight layout", self._tight_layout),
+                  ("Reset", self._reset),
+                  ("Close", self.close)])]:
+            layout = QtWidgets.QVBoxLayout()
+            main_layout.addLayout(layout)
+            box = QtWidgets.QGroupBox(group)
+            layout.addWidget(box)
+            inner = QtWidgets.QFormLayout(box)
+            for name in spinboxes:
+                self._spinboxes[name] = spinbox = QtWidgets.QDoubleSpinBox()
+                spinbox.setRange(0, 1)
+                spinbox.setDecimals(3)
+                spinbox.setSingleStep(0.005)
+                spinbox.setKeyboardTracking(False)
+                spinbox.valueChanged.connect(self._on_value_changed)
+                inner.addRow(name, spinbox)
+            layout.addStretch(1)
+            for name, method in buttons:
+                button = QtWidgets.QPushButton(name)
+                # Don't trigger on <enter>, which is used to input values.
+                button.setAutoDefault(False)
+                button.clicked.connect(method)
+                layout.addWidget(button)
+                if name == "Close":
+                    button.setFocus()
+        self._figure = targetfig
+        self._defaults = {}
+        self._export_values_dialog = None
+        self.update_from_current_subplotpars()
+
+    def update_from_current_subplotpars(self):
+        self._defaults = {spinbox: getattr(self._figure.subplotpars, name)
+                          for name, spinbox in self._spinboxes.items()}
+        self._reset()  # Set spinbox current values without triggering signals.
+
+    def _export_values(self):
+        # Explicitly round to 3 decimals (which is also the spinbox precision)
+        # to avoid numbers of the form 0.100...001.
+        self._export_values_dialog = QtWidgets.QDialog()
+        layout = QtWidgets.QVBoxLayout()
+        self._export_values_dialog.setLayout(layout)
+        text = QtWidgets.QPlainTextEdit()
+        text.setReadOnly(True)
+        layout.addWidget(text)
+        text.setPlainText(
+            ",\n".join(f"{attr}={spinbox.value():.3}"
+                       for attr, spinbox in self._spinboxes.items()))
+        # Adjust the height of the text widget to fit the whole text, plus
+        # some padding.
+        size = text.maximumSize()
+        size.setHeight(
+            QtGui.QFontMetrics(text.document().defaultFont())
+            .size(0, text.toPlainText()).height() + 20)
+        text.setMaximumSize(size)
+        self._export_values_dialog.show()
+
+    def _on_value_changed(self):
+        spinboxes = self._spinboxes
+        # Set all mins and maxes, so that this can also be used in _reset().
+        for lower, higher in [("bottom", "top"), ("left", "right")]:
+            spinboxes[higher].setMinimum(spinboxes[lower].value() + .001)
+            spinboxes[lower].setMaximum(spinboxes[higher].value() - .001)
+        self._figure.subplots_adjust(
+            **{attr: spinbox.value() for attr, spinbox in spinboxes.items()})
+        self._figure.canvas.draw_idle()
+
+    def _tight_layout(self):
+        self._figure.tight_layout()
+        for attr, spinbox in self._spinboxes.items():
+            spinbox.blockSignals(True)
+            spinbox.setValue(getattr(self._figure.subplotpars, attr))
+            spinbox.blockSignals(False)
+        self._figure.canvas.draw_idle()
+
+    def _reset(self):
+        for spinbox, value in self._defaults.items():
+            spinbox.setRange(0, 1)
+            spinbox.blockSignals(True)
+            spinbox.setValue(value)
+            spinbox.blockSignals(False)
+        self._on_value_changed()
+
+
+class ToolbarQt(ToolContainerBase, QtWidgets.QToolBar):
+    def __init__(self, toolmanager, parent=None):
+        ToolContainerBase.__init__(self, toolmanager)
+        QtWidgets.QToolBar.__init__(self, parent)
+        self.setAllowedAreas(QtCore.Qt.ToolBarArea(
+            _to_int(QtCore.Qt.ToolBarArea.TopToolBarArea) |
+            _to_int(QtCore.Qt.ToolBarArea.BottomToolBarArea)))
+        message_label = QtWidgets.QLabel("")
+        message_label.setAlignment(QtCore.Qt.AlignmentFlag(
+            _to_int(QtCore.Qt.AlignmentFlag.AlignRight) |
+            _to_int(QtCore.Qt.AlignmentFlag.AlignVCenter)))
+        message_label.setSizePolicy(QtWidgets.QSizePolicy(
+            QtWidgets.QSizePolicy.Policy.Expanding,
+            QtWidgets.QSizePolicy.Policy.Ignored,
+        ))
+        self._message_action = self.addWidget(message_label)
+        self._toolitems = {}
+        self._groups = {}
+
+    def add_toolitem(
+            self, name, group, position, image_file, description, toggle):
+
+        button = QtWidgets.QToolButton(self)
+        if image_file:
+            button.setIcon(NavigationToolbar2QT._icon(self, image_file))
+        button.setText(name)
+        if description:
+            button.setToolTip(description)
+
+        def handler():
+            self.trigger_tool(name)
+        if toggle:
+            button.setCheckable(True)
+            button.toggled.connect(handler)
+        else:
+            button.clicked.connect(handler)
+
+        self._toolitems.setdefault(name, [])
+        self._add_to_group(group, name, button, position)
+        self._toolitems[name].append((button, handler))
+
+    def _add_to_group(self, group, name, button, position):
+        gr = self._groups.get(group, [])
+        if not gr:
+            sep = self.insertSeparator(self._message_action)
+            gr.append(sep)
+        before = gr[position]
+        widget = self.insertWidget(before, button)
+        gr.insert(position, widget)
+        self._groups[group] = gr
+
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for button, handler in self._toolitems[name]:
+            button.toggled.disconnect(handler)
+            button.setChecked(toggled)
+            button.toggled.connect(handler)
+
+    def remove_toolitem(self, name):
+        for button, handler in self._toolitems.pop(name, []):
+            button.setParent(None)
+
+    def set_message(self, s):
+        self.widgetForAction(self._message_action).setText(s)
+
+
+@backend_tools._register_tool_class(FigureCanvasQT)
+class ConfigureSubplotsQt(backend_tools.ConfigureSubplotsBase):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._subplot_dialog = None
+
+    def trigger(self, *args):
+        NavigationToolbar2QT.configure_subplots(self)
+
+
+@backend_tools._register_tool_class(FigureCanvasQT)
+class SaveFigureQt(backend_tools.SaveFigureBase):
+    def trigger(self, *args):
+        NavigationToolbar2QT.save_figure(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasQT)
+class RubberbandQt(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        NavigationToolbar2QT.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
+
+    def remove_rubberband(self):
+        NavigationToolbar2QT.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasQT)
+class HelpQt(backend_tools.ToolHelpBase):
+    def trigger(self, *args):
+        QtWidgets.QMessageBox.information(None, "Help", self._get_help_html())
+
+
+@backend_tools._register_tool_class(FigureCanvasQT)
+class ToolCopyToClipboardQT(backend_tools.ToolCopyToClipboardBase):
+    def trigger(self, *args, **kwargs):
+        pixmap = self.canvas.grab()
+        QtWidgets.QApplication.instance().clipboard().setPixmap(pixmap)
+
+
+FigureManagerQT._toolbar2_class = NavigationToolbar2QT
+FigureManagerQT._toolmanager_toolbar_class = ToolbarQt
+
+
+@_Backend.export
+class _BackendQT(_Backend):
+    backend_version = __version__
+    FigureCanvas = FigureCanvasQT
+    FigureManager = FigureManagerQT
+    mainloop = FigureManagerQT.start_main_loop
diff --git a/lib/matplotlib/backends/backend_qt4.py b/lib/matplotlib/backends/backend_qt4.py
deleted file mode 100644
index 8298ae368d98..000000000000
--- a/lib/matplotlib/backends/backend_qt4.py
+++ /dev/null
@@ -1,95 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six import unichr
-import os
-import re
-import signal
-import sys
-
-import matplotlib
-
-from matplotlib.cbook import is_string_like
-from matplotlib.backend_bases import FigureManagerBase
-from matplotlib.backend_bases import FigureCanvasBase
-from matplotlib.backend_bases import NavigationToolbar2
-
-from matplotlib.backend_bases import cursors
-from matplotlib.backend_bases import TimerBase
-from matplotlib.backend_bases import ShowBase
-
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.figure import Figure
-
-
-from matplotlib.widgets import SubplotTool
-try:
-    import matplotlib.backends.qt_editor.figureoptions as figureoptions
-except ImportError:
-    figureoptions = None
-
-from .qt_compat import QtCore, QtWidgets, _getSaveFileName, __version__
-from matplotlib.backends.qt_editor.formsubplottool import UiSubplotTool
-
-from .backend_qt5 import (backend_version, SPECIAL_KEYS, SUPER, ALT, CTRL,
-                        SHIFT, MODIFIER_KEYS, fn_name, cursord,
-                        draw_if_interactive, _create_qApp, show, TimerQT,
-                        MainWindow, FigureManagerQT, NavigationToolbar2QT,
-                        SubplotToolQt, error_msg_qt, exception_handler)
-
-from .backend_qt5 import FigureCanvasQT as FigureCanvasQT5
-
-DEBUG = False
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    thisFig = Figure(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasQT(figure)
-    manager = FigureManagerQT(canvas, num)
-    return manager
-
-
-class FigureCanvasQT(FigureCanvasQT5):
-
-    def __init__(self, figure):
-        if DEBUG:
-            print('FigureCanvasQt qt4: ', figure)
-        _create_qApp()
-
-        # Note different super-calling style to backend_qt5
-        QtWidgets.QWidget.__init__(self)
-        FigureCanvasBase.__init__(self, figure)
-        self.figure = figure
-        self.setMouseTracking(True)
-        self._idle = True
-        # hide until we can test and fix
-        # self.startTimer(backend_IdleEvent.milliseconds)
-        w, h = self.get_width_height()
-        self.resize(w, h)
-
-    def wheelEvent(self, event):
-        x = event.x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y()
-        # from QWheelEvent::delta doc
-        steps = event.delta()/120
-        if (event.orientation() == QtCore.Qt.Vertical):
-            FigureCanvasBase.scroll_event(self, x, y, steps)
-            if DEBUG:
-                print('scroll event: delta = %i, '
-                      'steps = %i ' % (event.delta(), steps))
-
-
-FigureCanvas = FigureCanvasQT
-FigureManager = FigureManagerQT
diff --git a/lib/matplotlib/backends/backend_qt4agg.py b/lib/matplotlib/backends/backend_qt4agg.py
deleted file mode 100644
index a597dc2b47e3..000000000000
--- a/lib/matplotlib/backends/backend_qt4agg.py
+++ /dev/null
@@ -1,96 +0,0 @@
-"""
-Render to qt from agg
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os  # not used
-import sys
-import ctypes
-import warnings
-
-import matplotlib
-from matplotlib.figure import Figure
-
-from .backend_qt5agg import NavigationToolbar2QTAgg
-from .backend_qt5agg import FigureCanvasQTAggBase
-
-from .backend_agg import FigureCanvasAgg
-from .backend_qt4 import QtCore
-from .backend_qt4 import FigureManagerQT
-from .backend_qt4 import FigureCanvasQT
-from .backend_qt4 import NavigationToolbar2QT
-##### not used
-from .backend_qt4 import show
-from .backend_qt4 import draw_if_interactive
-from .backend_qt4 import backend_version
-######
-from matplotlib.cbook import mplDeprecation
-
-DEBUG = False
-
-_decref = ctypes.pythonapi.Py_DecRef
-_decref.argtypes = [ctypes.py_object]
-_decref.restype = None
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    if DEBUG:
-        print('backend_qt4agg.new_figure_manager')
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasQTAgg(figure)
-    return FigureManagerQT(canvas, num)
-
-
-class FigureCanvasQTAgg(FigureCanvasQTAggBase,
-                        FigureCanvasQT, FigureCanvasAgg):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
-
-    Public attribute
-
-      figure - A Figure instance
-   """
-
-    def __init__(self, figure):
-        if DEBUG:
-            print('FigureCanvasQtAgg: ', figure)
-        FigureCanvasQT.__init__(self, figure)
-        FigureCanvasAgg.__init__(self, figure)
-        self._drawRect = None
-        self.blitbox = None
-        self.setAttribute(QtCore.Qt.WA_OpaquePaintEvent)
-        # it has been reported that Qt is semi-broken in a windows
-        # environment.  If `self.draw()` uses `update` to trigger a
-        # system-level window repaint (as is explicitly advised in the
-        # Qt documentation) the figure responds very slowly to mouse
-        # input.  The work around is to directly use `repaint`
-        # (against the advice of the Qt documentation).  The
-        # difference between `update` and repaint is that `update`
-        # schedules a `repaint` for the next time the system is idle,
-        # where as `repaint` repaints the window immediately.  The
-        # risk is if `self.draw` gets called with in another `repaint`
-        # method there will be an infinite recursion.  Thus, we only
-        # expose windows users to this risk.
-        if sys.platform.startswith('win'):
-            self._priv_update = self.repaint
-        else:
-            self._priv_update = self.update
-
-
-FigureCanvas = FigureCanvasQTAgg
-FigureManager = FigureManagerQT
diff --git a/lib/matplotlib/backends/backend_qt5.py b/lib/matplotlib/backends/backend_qt5.py
index 766f8861d89f..d94062b723f4 100644
--- a/lib/matplotlib/backends/backend_qt5.py
+++ b/lib/matplotlib/backends/backend_qt5.py
@@ -1,855 +1,28 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-import six
+from .. import backends
 
-import os
-import re
-import signal
-import sys
-from six import unichr
+backends._QT_FORCE_QT5_BINDING = True
 
-import matplotlib
 
-from matplotlib.cbook import is_string_like
-from matplotlib.backend_bases import FigureManagerBase
-from matplotlib.backend_bases import FigureCanvasBase
-from matplotlib.backend_bases import NavigationToolbar2
+from .backend_qt import (  # noqa
+    SPECIAL_KEYS,
+    # Public API
+    cursord, _create_qApp, _BackendQT, TimerQT, MainWindow, FigureCanvasQT,
+    FigureManagerQT, ToolbarQt, NavigationToolbar2QT, SubplotToolQt,
+    SaveFigureQt, ConfigureSubplotsQt, RubberbandQt,
+    HelpQt, ToolCopyToClipboardQT,
+    # internal re-exports
+    FigureCanvasBase,  FigureManagerBase, MouseButton, NavigationToolbar2,
+    TimerBase, ToolContainerBase, figureoptions, Gcf
+)
+from . import backend_qt as _backend_qt  # noqa
 
-from matplotlib.backend_bases import cursors
-from matplotlib.backend_bases import TimerBase
-from matplotlib.backend_bases import ShowBase
 
-from matplotlib._pylab_helpers import Gcf
-from matplotlib.figure import Figure
+@_BackendQT.export
+class _BackendQT5(_BackendQT):
+    pass
 
-from matplotlib.widgets import SubplotTool
-try:
-    import matplotlib.backends.qt_editor.figureoptions as figureoptions
-except ImportError:
-    figureoptions = None
 
-from .qt_compat import QtCore, QtGui, QtWidgets, _getSaveFileName, __version__
-from matplotlib.backends.qt_editor.formsubplottool import UiSubplotTool
-
-backend_version = __version__
-
-# SPECIAL_KEYS are keys that do *not* return their unicode name
-# instead they have manually specified names
-SPECIAL_KEYS = {QtCore.Qt.Key_Control: 'control',
-                QtCore.Qt.Key_Shift: 'shift',
-                QtCore.Qt.Key_Alt: 'alt',
-                QtCore.Qt.Key_Meta: 'super',
-                QtCore.Qt.Key_Return: 'enter',
-                QtCore.Qt.Key_Left: 'left',
-                QtCore.Qt.Key_Up: 'up',
-                QtCore.Qt.Key_Right: 'right',
-                QtCore.Qt.Key_Down: 'down',
-                QtCore.Qt.Key_Escape: 'escape',
-                QtCore.Qt.Key_F1: 'f1',
-                QtCore.Qt.Key_F2: 'f2',
-                QtCore.Qt.Key_F3: 'f3',
-                QtCore.Qt.Key_F4: 'f4',
-                QtCore.Qt.Key_F5: 'f5',
-                QtCore.Qt.Key_F6: 'f6',
-                QtCore.Qt.Key_F7: 'f7',
-                QtCore.Qt.Key_F8: 'f8',
-                QtCore.Qt.Key_F9: 'f9',
-                QtCore.Qt.Key_F10: 'f10',
-                QtCore.Qt.Key_F11: 'f11',
-                QtCore.Qt.Key_F12: 'f12',
-                QtCore.Qt.Key_Home: 'home',
-                QtCore.Qt.Key_End: 'end',
-                QtCore.Qt.Key_PageUp: 'pageup',
-                QtCore.Qt.Key_PageDown: 'pagedown',
-                QtCore.Qt.Key_Tab: 'tab',
-                QtCore.Qt.Key_Backspace: 'backspace',
-                QtCore.Qt.Key_Enter: 'enter',
-                QtCore.Qt.Key_Insert: 'insert',
-                QtCore.Qt.Key_Delete: 'delete',
-                QtCore.Qt.Key_Pause: 'pause',
-                QtCore.Qt.Key_SysReq: 'sysreq',
-                QtCore.Qt.Key_Clear: 'clear', }
-
-# define which modifier keys are collected on keyboard events.
-# elements are (mpl names, Modifier Flag, Qt Key) tuples
-SUPER = 0
-ALT = 1
-CTRL = 2
-SHIFT = 3
-MODIFIER_KEYS = [('super', QtCore.Qt.MetaModifier, QtCore.Qt.Key_Meta),
-                 ('alt', QtCore.Qt.AltModifier, QtCore.Qt.Key_Alt),
-                 ('ctrl', QtCore.Qt.ControlModifier, QtCore.Qt.Key_Control),
-                 ('shift', QtCore.Qt.ShiftModifier, QtCore.Qt.Key_Shift),
-                 ]
-
-if sys.platform == 'darwin':
-    # in OSX, the control and super (aka cmd/apple) keys are switched, so
-    # switch them back.
-    SPECIAL_KEYS.update({QtCore.Qt.Key_Control: 'super',  # cmd/apple key
-                         QtCore.Qt.Key_Meta: 'control',
-                         })
-    MODIFIER_KEYS[0] = ('super', QtCore.Qt.ControlModifier,
-                        QtCore.Qt.Key_Control)
-    MODIFIER_KEYS[2] = ('ctrl', QtCore.Qt.MetaModifier,
-                        QtCore.Qt.Key_Meta)
-
-
-def fn_name():
-    return sys._getframe(1).f_code.co_name
-
-DEBUG = False
-
-cursord = {
-    cursors.MOVE: QtCore.Qt.SizeAllCursor,
-    cursors.HAND: QtCore.Qt.PointingHandCursor,
-    cursors.POINTER: QtCore.Qt.ArrowCursor,
-    cursors.SELECT_REGION: QtCore.Qt.CrossCursor,
-    }
-
-
-def draw_if_interactive():
-    """
-    Is called after every pylab drawing command
-    """
-    if matplotlib.is_interactive():
-        figManager = Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.draw_idle()
-
-# make place holder
-qApp = None
-
-
-def _create_qApp():
-    """
-    Only one qApp can exist at a time, so check before creating one.
-    """
-    global qApp
-
-    if qApp is None:
-        if DEBUG:
-            print("Starting up QApplication")
-        app = QtWidgets.QApplication.instance()
-        if app is None:
-            # check for DISPLAY env variable on X11 build of Qt
-            if hasattr(QtGui, "QX11Info"):
-                display = os.environ.get('DISPLAY')
-                if display is None or not re.search(':\d', display):
-                    raise RuntimeError('Invalid DISPLAY variable')
-
-            qApp = QtWidgets.QApplication([str(" ")])
-            qApp.lastWindowClosed.connect(qApp.quit)
-        else:
-            qApp = app
-
-
-class Show(ShowBase):
-    def mainloop(self):
-        # allow KeyboardInterrupt exceptions to close the plot window.
-        signal.signal(signal.SIGINT, signal.SIG_DFL)
-        global qApp
-        qApp.exec_()
-
-show = Show()
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    thisFig = Figure(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasQT(figure)
-    manager = FigureManagerQT(canvas, num)
-    return manager
-
-
-class TimerQT(TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses Qt4 timer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
-
-    def __init__(self, *args, **kwargs):
-        TimerBase.__init__(self, *args, **kwargs)
-
-        # Create a new timer and connect the timeout() signal to the
-        # _on_timer method.
-        self._timer = QtCore.QTimer()
-        self._timer.timeout.connect(self._on_timer)
-        self._timer_set_interval()
-
-    def __del__(self):
-        # Probably not necessary in practice, but is good behavior to
-        # disconnect
-        try:
-            TimerBase.__del__(self)
-            self._timer.timeout.disconnect(self._on_timer)
-        except RuntimeError:
-            # Timer C++ object already deleted
-            pass
-
-    def _timer_set_single_shot(self):
-        self._timer.setSingleShot(self._single)
-
-    def _timer_set_interval(self):
-        self._timer.setInterval(self._interval)
-
-    def _timer_start(self):
-        self._timer.start()
-
-    def _timer_stop(self):
-        self._timer.stop()
-
-
-class FigureCanvasQT(QtWidgets.QWidget, FigureCanvasBase):
-
-    # map Qt button codes to MouseEvent's ones:
-    buttond = {QtCore.Qt.LeftButton: 1,
-               QtCore.Qt.MidButton: 2,
-               QtCore.Qt.RightButton: 3,
-               # QtCore.Qt.XButton1: None,
-               # QtCore.Qt.XButton2: None,
-               }
-
-    def __init__(self, figure):
-        if DEBUG:
-            print('FigureCanvasQt qt5: ', figure)
-        _create_qApp()
-
-        # NB: Using super for this call to avoid a TypeError:
-        # __init__() takes exactly 2 arguments (1 given) on QWidget
-        # PyQt5
-        super(FigureCanvasQT, self).__init__(figure=figure)
-        self.figure = figure
-        self.setMouseTracking(True)
-        self._idle = True
-        # hide until we can test and fix
-        # self.startTimer(backend_IdleEvent.milliseconds)
-        w, h = self.get_width_height()
-        self.resize(w, h)
-
-    def __timerEvent(self, event):
-        # hide until we can test and fix
-        self.mpl_idle_event(event)
-
-    def enterEvent(self, event):
-        FigureCanvasBase.enter_notify_event(self, event)
-
-    def leaveEvent(self, event):
-        QtWidgets.QApplication.restoreOverrideCursor()
-        FigureCanvasBase.leave_notify_event(self, event)
-
-    def mousePressEvent(self, event):
-        x = event.pos().x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.pos().y()
-        button = self.buttond.get(event.button())
-        if button is not None:
-            FigureCanvasBase.button_press_event(self, x, y, button)
-        if DEBUG:
-            print('button pressed:', event.button())
-
-    def mouseDoubleClickEvent(self, event):
-        x = event.pos().x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.pos().y()
-        button = self.buttond.get(event.button())
-        if button is not None:
-            FigureCanvasBase.button_press_event(self, x, y,
-                                                button, dblclick=True)
-        if DEBUG:
-            print('button doubleclicked:', event.button())
-
-    def mouseMoveEvent(self, event):
-        x = event.x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y()
-        FigureCanvasBase.motion_notify_event(self, x, y)
-        # if DEBUG: print('mouse move')
-
-    def mouseReleaseEvent(self, event):
-        x = event.x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y()
-        button = self.buttond.get(event.button())
-        if button is not None:
-            FigureCanvasBase.button_release_event(self, x, y, button)
-        if DEBUG:
-            print('button released')
-
-    def wheelEvent(self, event):
-        x = event.x()
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y()
-        # from QWheelEvent::delta doc
-        if event.pixelDelta().x() == 0 and event.pixelDelta().y() == 0:
-            steps = event.angleDelta().y() / 120
-        else:
-            steps = event.pixelDelta().y()
-
-        if steps != 0:
-            FigureCanvasBase.scroll_event(self, x, y, steps)
-            if DEBUG:
-                print('scroll event: delta = %i, '
-                      'steps = %i ' % (event.delta(), steps))
-
-    def keyPressEvent(self, event):
-        key = self._get_key(event)
-        if key is None:
-            return
-        FigureCanvasBase.key_press_event(self, key)
-        if DEBUG:
-            print('key press', key)
-
-    def keyReleaseEvent(self, event):
-        key = self._get_key(event)
-        if key is None:
-            return
-        FigureCanvasBase.key_release_event(self, key)
-        if DEBUG:
-            print('key release', key)
-
-    def resizeEvent(self, event):
-        w = event.size().width()
-        h = event.size().height()
-        if DEBUG:
-            print('resize (%d x %d)' % (w, h))
-            print("FigureCanvasQt.resizeEvent(%d, %d)" % (w, h))
-        dpival = self.figure.dpi
-        winch = w / dpival
-        hinch = h / dpival
-        self.figure.set_size_inches(winch, hinch)
-        FigureCanvasBase.resize_event(self)
-        self.draw()
-        self.update()
-        QtWidgets.QWidget.resizeEvent(self, event)
-
-    def sizeHint(self):
-        w, h = self.get_width_height()
-        return QtCore.QSize(w, h)
-
-    def minumumSizeHint(self):
-        return QtCore.QSize(10, 10)
-
-    def _get_key(self, event):
-        if event.isAutoRepeat():
-            return None
-
-        event_key = event.key()
-        event_mods = int(event.modifiers())  # actually a bitmask
-
-        # get names of the pressed modifier keys
-        # bit twiddling to pick out modifier keys from event_mods bitmask,
-        # if event_key is a MODIFIER, it should not be duplicated in mods
-        mods = [name for name, mod_key, qt_key in MODIFIER_KEYS
-                if event_key != qt_key and (event_mods & mod_key) == mod_key]
-        try:
-            # for certain keys (enter, left, backspace, etc) use a word for the
-            # key, rather than unicode
-            key = SPECIAL_KEYS[event_key]
-        except KeyError:
-            # unicode defines code points up to 0x0010ffff
-            # QT will use Key_Codes larger than that for keyboard keys that are
-            # are not unicode characters (like multimedia keys)
-            # skip these
-            # if you really want them, you should add them to SPECIAL_KEYS
-            MAX_UNICODE = 0x10ffff
-            if event_key > MAX_UNICODE:
-                return None
-
-            key = unichr(event_key)
-            # qt delivers capitalized letters.  fix capitalization
-            # note that capslock is ignored
-            if 'shift' in mods:
-                mods.remove('shift')
-            else:
-                key = key.lower()
-
-        mods.reverse()
-        return '+'.join(mods + [key])
-
-    def new_timer(self, *args, **kwargs):
-        """
-        Creates a new backend-specific subclass of
-        :class:`backend_bases.Timer`.  This is useful for getting
-        periodic events through the backend's native event
-        loop. Implemented only for backends with GUIs.
-
-        optional arguments:
-
-        *interval*
-            Timer interval in milliseconds
-
-        *callbacks*
-            Sequence of (func, args, kwargs) where func(*args, **kwargs)
-            will be executed by the timer every *interval*.
-
-    """
-        return TimerQT(*args, **kwargs)
-
-    def flush_events(self):
-        global qApp
-        qApp.processEvents()
-
-    def start_event_loop(self, timeout):
-        FigureCanvasBase.start_event_loop_default(self, timeout)
-
-    start_event_loop.__doc__ = \
-                             FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-
-    stop_event_loop.__doc__ = FigureCanvasBase.stop_event_loop_default.__doc__
-
-    def draw_idle(self):
-        'update drawing area only if idle'
-        d = self._idle
-        self._idle = False
-
-        def idle_draw(*args):
-            try:
-                self.draw()
-            finally:
-                self._idle = True
-        if d:
-            QtCore.QTimer.singleShot(0, idle_draw)
-
-
-class MainWindow(QtWidgets.QMainWindow):
-    closing = QtCore.Signal()
-
-    def closeEvent(self, event):
-        self.closing.emit()
-        QtWidgets.QMainWindow.closeEvent(self, event)
-
-
-class FigureManagerQT(FigureManagerBase):
-    """
-    Public attributes
-
-    canvas      : The FigureCanvas instance
-    num         : The Figure number
-    toolbar     : The qt.QToolBar
-    window      : The qt.QMainWindow
-    """
-
-    def __init__(self, canvas, num):
-        if DEBUG:
-            print('FigureManagerQT.%s' % fn_name())
-        FigureManagerBase.__init__(self, canvas, num)
-        self.canvas = canvas
-        self.window = MainWindow()
-        self.window.closing.connect(canvas.close_event)
-        self.window.closing.connect(self._widgetclosed)
-
-        self.window.setWindowTitle("Figure %d" % num)
-        image = os.path.join(matplotlib.rcParams['datapath'],
-                             'images', 'matplotlib.png')
-        self.window.setWindowIcon(QtGui.QIcon(image))
-
-        # Give the keyboard focus to the figure instead of the
-        # manager; StrongFocus accepts both tab and click to focus and
-        # will enable the canvas to process event w/o clicking.
-        # ClickFocus only takes the focus is the window has been
-        # clicked
-        # on. http://qt-project.org/doc/qt-4.8/qt.html#FocusPolicy-enum or
-        # http://doc.qt.digia.com/qt/qt.html#FocusPolicy-enum
-        self.canvas.setFocusPolicy(QtCore.Qt.StrongFocus)
-        self.canvas.setFocus()
-
-        self.window._destroying = False
-
-        self.toolbar = self._get_toolbar(self.canvas, self.window)
-        if self.toolbar is not None:
-            self.window.addToolBar(self.toolbar)
-            self.toolbar.message.connect(self._show_message)
-            tbs_height = self.toolbar.sizeHint().height()
-        else:
-            tbs_height = 0
-
-        # resize the main window so it will display the canvas with the
-        # requested size:
-        cs = canvas.sizeHint()
-        sbs = self.window.statusBar().sizeHint()
-        self._status_and_tool_height = tbs_height + sbs.height()
-        height = cs.height() + self._status_and_tool_height
-        self.window.resize(cs.width(), height)
-
-        self.window.setCentralWidget(self.canvas)
-
-        if matplotlib.is_interactive():
-            self.window.show()
-
-        def notify_axes_change(fig):
-            # This will be called whenever the current axes is changed
-            if self.toolbar is not None:
-                self.toolbar.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
-
-    @QtCore.Slot()
-    def _show_message(self, s):
-        # Fixes a PySide segfault.
-        self.window.statusBar().showMessage(s)
-
-    def full_screen_toggle(self):
-        if self.window.isFullScreen():
-            self.window.showNormal()
-        else:
-            self.window.showFullScreen()
-
-    def _widgetclosed(self):
-        if self.window._destroying:
-            return
-        self.window._destroying = True
-        try:
-            Gcf.destroy(self.num)
-        except AttributeError:
-            pass
-            # It seems that when the python session is killed,
-            # Gcf can get destroyed before the Gcf.destroy
-            # line is run, leading to a useless AttributeError.
-
-    def _get_toolbar(self, canvas, parent):
-        # must be inited after the window, drawingArea and figure
-        # attrs are set
-        if matplotlib.rcParams['toolbar'] == 'toolbar2':
-            toolbar = NavigationToolbar2QT(canvas, parent, False)
-        else:
-            toolbar = None
-        return toolbar
-
-    def resize(self, width, height):
-        'set the canvas size in pixels'
-        self.window.resize(width, height + self._status_and_tool_height)
-
-    def show(self):
-        self.window.show()
-
-    def destroy(self, *args):
-        # check for qApp first, as PySide deletes it in its atexit handler
-        if QtWidgets.QApplication.instance() is None:
-            return
-        if self.window._destroying:
-            return
-        self.window._destroying = True
-        self.window.destroyed.connect(self._widgetclosed)
-
-        if self.toolbar:
-            self.toolbar.destroy()
-        if DEBUG:
-            print("destroy figure manager")
-        self.window.close()
-
-    def get_window_title(self):
-        return str(self.window.windowTitle())
-
-    def set_window_title(self, title):
-        self.window.setWindowTitle(title)
-
-
-class NavigationToolbar2QT(NavigationToolbar2, QtWidgets.QToolBar):
-    message = QtCore.Signal(str)
-
-    def __init__(self, canvas, parent, coordinates=True):
-        """ coordinates: should we show the coordinates on the right? """
-        self.canvas = canvas
-        self.parent = parent
-        self.coordinates = coordinates
-        self._actions = {}
-        """A mapping of toolitem method names to their QActions"""
-
-        QtWidgets.QToolBar.__init__(self, parent)
-        NavigationToolbar2.__init__(self, canvas)
-
-    def _icon(self, name):
-        return QtGui.QIcon(os.path.join(self.basedir, name))
-
-    def _init_toolbar(self):
-        self.basedir = os.path.join(matplotlib.rcParams['datapath'], 'images')
-
-        for text, tooltip_text, image_file, callback in self.toolitems:
-            if text is None:
-                self.addSeparator()
-            else:
-                a = self.addAction(self._icon(image_file + '.png'),
-                                         text, getattr(self, callback))
-                self._actions[callback] = a
-                if callback in ['zoom', 'pan']:
-                    a.setCheckable(True)
-                if tooltip_text is not None:
-                    a.setToolTip(tooltip_text)
-
-        if figureoptions is not None:
-            a = self.addAction(self._icon("qt4_editor_options.png"),
-                               'Customize', self.edit_parameters)
-            a.setToolTip('Edit curves line and axes parameters')
-
-        self.buttons = {}
-
-        # Add the x,y location widget at the right side of the toolbar
-        # The stretch factor is 1 which means any resizing of the toolbar
-        # will resize this label instead of the buttons.
-        if self.coordinates:
-            self.locLabel = QtWidgets.QLabel("", self)
-            self.locLabel.setAlignment(
-                    QtCore.Qt.AlignRight | QtCore.Qt.AlignTop)
-            self.locLabel.setSizePolicy(
-                QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding,
-                                  QtWidgets.QSizePolicy.Ignored))
-            labelAction = self.addWidget(self.locLabel)
-            labelAction.setVisible(True)
-
-        # reference holder for subplots_adjust window
-        self.adj_window = None
-
-    if figureoptions is not None:
-        def edit_parameters(self):
-            allaxes = self.canvas.figure.get_axes()
-            if len(allaxes) == 1:
-                axes = allaxes[0]
-            else:
-                titles = []
-                for axes in allaxes:
-                    title = axes.get_title()
-                    ylabel = axes.get_ylabel()
-                    label = axes.get_label()
-                    if title:
-                        fmt = "%(title)s"
-                        if ylabel:
-                            fmt += ": %(ylabel)s"
-                        fmt += " (%(axes_repr)s)"
-                    elif ylabel:
-                        fmt = "%(axes_repr)s (%(ylabel)s)"
-                    elif label:
-                        fmt = "%(axes_repr)s (%(label)s)"
-                    else:
-                        fmt = "%(axes_repr)s"
-                    titles.append(fmt % dict(title=title,
-                                         ylabel=ylabel, label=label,
-                                         axes_repr=repr(axes)))
-                item, ok = QtWidgets.QInputDialog.getItem(
-                    self.parent, 'Customize', 'Select axes:', titles, 0, False)
-                if ok:
-                    axes = allaxes[titles.index(six.text_type(item))]
-                else:
-                    return
-
-            figureoptions.figure_edit(axes, self)
-
-    def _update_buttons_checked(self):
-        # sync button checkstates to match active mode
-        self._actions['pan'].setChecked(self._active == 'PAN')
-        self._actions['zoom'].setChecked(self._active == 'ZOOM')
-
-    def pan(self, *args):
-        super(NavigationToolbar2QT, self).pan(*args)
-        self._update_buttons_checked()
-
-    def zoom(self, *args):
-        super(NavigationToolbar2QT, self).zoom(*args)
-        self._update_buttons_checked()
-
-    def dynamic_update(self):
-        self.canvas.draw()
-
-    def set_message(self, s):
-        self.message.emit(s)
-        if self.coordinates:
-            self.locLabel.setText(s.replace(', ', '\n'))
-
-    def set_cursor(self, cursor):
-        if DEBUG:
-            print('Set cursor', cursor)
-        self.canvas.setCursor(cursord[cursor])
-
-    def draw_rubberband(self, event, x0, y0, x1, y1):
-        height = self.canvas.figure.bbox.height
-        y1 = height - y1
-        y0 = height - y0
-
-        w = abs(x1 - x0)
-        h = abs(y1 - y0)
-
-        rect = [int(val)for val in (min(x0, x1), min(y0, y1), w, h)]
-        self.canvas.drawRectangle(rect)
-
-    def configure_subplots(self):
-        image = os.path.join(matplotlib.rcParams['datapath'],
-                             'images', 'matplotlib.png')
-        dia = SubplotToolQt(self.canvas.figure, self.parent)
-        dia.setWindowIcon(QtGui.QIcon(image))
-        dia.exec_()
-
-    def save_figure(self, *args):
-        filetypes = self.canvas.get_supported_filetypes_grouped()
-        sorted_filetypes = list(six.iteritems(filetypes))
-        sorted_filetypes.sort()
-        default_filetype = self.canvas.get_default_filetype()
-
-        startpath = matplotlib.rcParams.get('savefig.directory', '')
-        startpath = os.path.expanduser(startpath)
-        start = os.path.join(startpath, self.canvas.get_default_filename())
-        filters = []
-        selectedFilter = None
-        for name, exts in sorted_filetypes:
-            exts_list = " ".join(['*.%s' % ext for ext in exts])
-            filter = '%s (%s)' % (name, exts_list)
-            if default_filetype in exts:
-                selectedFilter = filter
-            filters.append(filter)
-        filters = ';;'.join(filters)
-
-        fname, filter = _getSaveFileName(self.parent,
-                                         "Choose a filename to save to",
-                                 start, filters, selectedFilter)
-        if fname:
-            if startpath == '':
-                # explicitly missing key or empty str signals to use cwd
-                matplotlib.rcParams['savefig.directory'] = startpath
-            else:
-                # save dir for next time
-                savefig_dir = os.path.dirname(six.text_type(fname))
-                matplotlib.rcParams['savefig.directory'] = savefig_dir
-            try:
-                self.canvas.print_figure(six.text_type(fname))
-            except Exception as e:
-                QtWidgets.QMessageBox.critical(
-                    self, "Error saving file", str(e),
-                    QtWidgets.QMessageBox.Ok, QtWidgets.QMessageBox.NoButton)
-
-
-class SubplotToolQt(SubplotTool, UiSubplotTool):
-    def __init__(self, targetfig, parent):
-        UiSubplotTool.__init__(self, None)
-
-        self.targetfig = targetfig
-        self.parent = parent
-        self.donebutton.clicked.connect(self.close)
-        self.resetbutton.clicked.connect(self.reset)
-        self.tightlayout.clicked.connect(self.functight)
-
-        # constraints
-        self.sliderleft.valueChanged.connect(self.sliderright.setMinimum)
-        self.sliderright.valueChanged.connect(self.sliderleft.setMaximum)
-        self.sliderbottom.valueChanged.connect(self.slidertop.setMinimum)
-        self.slidertop.valueChanged.connect(self.sliderbottom.setMaximum)
-
-        self.defaults = {}
-        for attr in ('left', 'bottom', 'right', 'top', 'wspace', 'hspace', ):
-            self.defaults[attr] = getattr(self.targetfig.subplotpars, attr)
-            slider = getattr(self, 'slider' + attr)
-            slider.setMinimum(0)
-            slider.setMaximum(1000)
-            slider.setSingleStep(5)
-            slider.valueChanged.connect(getattr(self, 'func' + attr))
-
-        self._setSliderPositions()
-
-    def _setSliderPositions(self):
-        for attr in ('left', 'bottom', 'right', 'top', 'wspace', 'hspace', ):
-            slider = getattr(self, 'slider' + attr)
-            slider.setSliderPosition(int(self.defaults[attr] * 1000))
-
-    def funcleft(self, val):
-        if val == self.sliderright.value():
-            val -= 1
-        val /= 1000.
-        self.targetfig.subplots_adjust(left=val)
-        self.leftvalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def funcright(self, val):
-        if val == self.sliderleft.value():
-            val += 1
-        val /= 1000.
-        self.targetfig.subplots_adjust(right=val)
-        self.rightvalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def funcbottom(self, val):
-        if val == self.slidertop.value():
-            val -= 1
-        val /= 1000.
-        self.targetfig.subplots_adjust(bottom=val)
-        self.bottomvalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def functop(self, val):
-        if val == self.sliderbottom.value():
-            val += 1
-        val /= 1000.
-        self.targetfig.subplots_adjust(top=val)
-        self.topvalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def funcwspace(self, val):
-        val /= 1000.
-        self.targetfig.subplots_adjust(wspace=val)
-        self.wspacevalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def funchspace(self, val):
-        val /= 1000.
-        self.targetfig.subplots_adjust(hspace=val)
-        self.hspacevalue.setText("%.2f" % val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
-
-    def functight(self):
-        self.targetfig.tight_layout()
-        self._setSliderPositions()
-        self.targetfig.canvas.draw()
-
-    def reset(self):
-        self.targetfig.subplots_adjust(**self.defaults)
-        self._setSliderPositions()
-        self.targetfig.canvas.draw()
-
-
-def error_msg_qt(msg, parent=None):
-    if not is_string_like(msg):
-        msg = ','.join(map(str, msg))
-
-    QtWidgets.QMessageBox.warning(None, "Matplotlib",
-                                  msg, QtGui.QMessageBox.Ok)
-
-
-def exception_handler(type, value, tb):
-    """Handle uncaught exceptions
-    It does not catch SystemExit
-    """
-    msg = ''
-    # get the filename attribute if available (for IOError)
-    if hasattr(value, 'filename') and value.filename is not None:
-        msg = value.filename + ': '
-    if hasattr(value, 'strerror') and value.strerror is not None:
-        msg += value.strerror
-    else:
-        msg += str(value)
-
-    if len(msg):
-        error_msg_qt(msg)
-
-FigureCanvas = FigureCanvasQT
-FigureManager = FigureManagerQT
+def __getattr__(name):
+    if name == 'qApp':
+        return _backend_qt.qApp
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
diff --git a/lib/matplotlib/backends/backend_qt5agg.py b/lib/matplotlib/backends/backend_qt5agg.py
index 9b2163611566..8a92fd5135d5 100644
--- a/lib/matplotlib/backends/backend_qt5agg.py
+++ b/lib/matplotlib/backends/backend_qt5agg.py
@@ -1,215 +1,14 @@
 """
 Render to qt from agg
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from .. import backends
 
-import six
+backends._QT_FORCE_QT5_BINDING = True
+from .backend_qtagg import (    # noqa: F401, E402 # pylint: disable=W0611
+    _BackendQTAgg, FigureCanvasQTAgg, FigureManagerQT, NavigationToolbar2QT,
+    FigureCanvasAgg, FigureCanvasQT)
 
-import os  # not used
-import sys
-import ctypes
-import warnings
 
-import matplotlib
-from matplotlib.figure import Figure
-
-from .backend_agg import FigureCanvasAgg
-from .backend_qt5 import QtCore
-from .backend_qt5 import QtGui
-from .backend_qt5 import FigureManagerQT
-from .backend_qt5 import NavigationToolbar2QT
-##### Modified Qt5 backend import
-from .backend_qt5 import FigureCanvasQT
-##### not used
-from .backend_qt5 import show
-from .backend_qt5 import draw_if_interactive
-from .backend_qt5 import backend_version
-######
-
-
-from matplotlib.cbook import mplDeprecation
-
-DEBUG = False
-
-_decref = ctypes.pythonapi.Py_DecRef
-_decref.argtypes = [ctypes.py_object]
-_decref.restype = None
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    if DEBUG:
-        print('backend_qt5agg.new_figure_manager')
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasQTAgg(figure)
-    return FigureManagerQT(canvas, num)
-
-
-class FigureCanvasQTAggBase(object):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
-
-    Public attribute
-
-      figure - A Figure instance
-   """
-
-    def drawRectangle(self, rect):
-        self._drawRect = rect
-        self.repaint()
-
-    def paintEvent(self, e):
-        """
-        Copy the image from the Agg canvas to the qt.drawable.
-        In Qt, all drawing should be done inside of here when a widget is
-        shown onscreen.
-        """
-
-        # FigureCanvasQT.paintEvent(self, e)
-        if DEBUG:
-            print('FigureCanvasQtAgg.paintEvent: ', self,
-                self.get_width_height())
-
-        if self.blitbox is None:
-            # matplotlib is in rgba byte order.  QImage wants to put the bytes
-            # into argb format and is in a 4 byte unsigned int.  Little endian
-            # system is LSB first and expects the bytes in reverse order
-            # (bgra).
-            if QtCore.QSysInfo.ByteOrder == QtCore.QSysInfo.LittleEndian:
-                stringBuffer = self.renderer._renderer.tostring_bgra()
-            else:
-                stringBuffer = self.renderer._renderer.tostring_argb()
-
-            refcnt = sys.getrefcount(stringBuffer)
-
-            # convert the Agg rendered image -> qImage
-            qImage = QtGui.QImage(stringBuffer, self.renderer.width,
-                                  self.renderer.height,
-                                  QtGui.QImage.Format_ARGB32)
-            # get the rectangle for the image
-            rect = qImage.rect()
-            p = QtGui.QPainter(self)
-            # reset the image area of the canvas to be the back-ground color
-            p.eraseRect(rect)
-            # draw the rendered image on to the canvas
-            p.drawPixmap(QtCore.QPoint(0, 0), QtGui.QPixmap.fromImage(qImage))
-
-            # draw the zoom rectangle to the QPainter
-            if self._drawRect is not None:
-                p.setPen(QtGui.QPen(QtCore.Qt.black, 1, QtCore.Qt.DotLine))
-                x, y, w, h = self._drawRect
-                p.drawRect(x, y, w, h)
-            p.end()
-
-            # This works around a bug in PySide 1.1.2 on Python 3.x,
-            # where the reference count of stringBuffer is incremented
-            # but never decremented by QImage.
-            # TODO: revert PR #1323 once the issue is fixed in PySide.
-            del qImage
-            if refcnt != sys.getrefcount(stringBuffer):
-                _decref(stringBuffer)
-        else:
-            bbox = self.blitbox
-            l, b, r, t = bbox.extents
-            w = int(r) - int(l)
-            h = int(t) - int(b)
-            t = int(b) + h
-            reg = self.copy_from_bbox(bbox)
-            stringBuffer = reg.to_string_argb()
-            qImage = QtGui.QImage(stringBuffer, w, h,
-                                  QtGui.QImage.Format_ARGB32)
-            pixmap = QtGui.QPixmap.fromImage(qImage)
-            p = QtGui.QPainter(self)
-            p.drawPixmap(QtCore.QPoint(l, self.renderer.height-t), pixmap)
-            p.end()
-            self.blitbox = None
-        self._drawRect = None
-
-    def draw(self):
-        """
-        Draw the figure with Agg, and queue a request
-        for a Qt draw.
-        """
-        # The Agg draw is done here; delaying it until the paintEvent
-        # causes problems with code that uses the result of the
-        # draw() to update plot elements.
-        FigureCanvasAgg.draw(self)
-        self._priv_update()
-
-    def blit(self, bbox=None):
-        """
-        Blit the region in bbox
-        """
-        self.blitbox = bbox
-        l, b, w, h = bbox.bounds
-        t = b + h
-        self.repaint(l, self.renderer.height-t, w, h)
-
-    def print_figure(self, *args, **kwargs):
-        FigureCanvasAgg.print_figure(self, *args, **kwargs)
-        self.draw()
-
-
-class FigureCanvasQTAgg(FigureCanvasQTAggBase,
-                        FigureCanvasQT, FigureCanvasAgg):
-    """
-    The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc.
-
-    Modified to import from Qt5 backend for new-style mouse events.
-
-    Public attribute
-
-      figure - A Figure instance
-    """
-
-    def __init__(self, figure):
-        if DEBUG:
-            print('FigureCanvasQtAgg: ', figure)
-        FigureCanvasQT.__init__(self, figure)
-        FigureCanvasAgg.__init__(self, figure)
-        self._drawRect = None
-        self.blitbox = None
-        self.setAttribute(QtCore.Qt.WA_OpaquePaintEvent)
-        # it has been reported that Qt is semi-broken in a windows
-        # environment.  If `self.draw()` uses `update` to trigger a
-        # system-level window repaint (as is explicitly advised in the
-        # Qt documentation) the figure responds very slowly to mouse
-        # input.  The work around is to directly use `repaint`
-        # (against the advice of the Qt documentation).  The
-        # difference between `update` and repaint is that `update`
-        # schedules a `repaint` for the next time the system is idle,
-        # where as `repaint` repaints the window immediately.  The
-        # risk is if `self.draw` gets called with in another `repaint`
-        # method there will be an infinite recursion.  Thus, we only
-        # expose windows users to this risk.
-        if sys.platform.startswith('win'):
-            self._priv_update = self.repaint
-        else:
-            self._priv_update = self.update
-
-
-class NavigationToolbar2QTAgg(NavigationToolbar2QT):
-    def __init__(*args, **kwargs):
-        warnings.warn('This class has been deprecated in 1.4 ' +
-                      'as it has no additional functionality over ' +
-                      '`NavigationToolbar2QT`.  Please change your code to '
-                      'use `NavigationToolbar2QT` instead',
-                    mplDeprecation)
-        NavigationToolbar2QT.__init__(*args, **kwargs)
-
-
-FigureCanvas = FigureCanvasQTAgg
-FigureManager = FigureManagerQT
+@_BackendQTAgg.export
+class _BackendQT5Agg(_BackendQTAgg):
+    pass
diff --git a/lib/matplotlib/backends/backend_qt5cairo.py b/lib/matplotlib/backends/backend_qt5cairo.py
new file mode 100644
index 000000000000..a4263f597119
--- /dev/null
+++ b/lib/matplotlib/backends/backend_qt5cairo.py
@@ -0,0 +1,11 @@
+from .. import backends
+
+backends._QT_FORCE_QT5_BINDING = True
+from .backend_qtcairo import (  # noqa: F401, E402 # pylint: disable=W0611
+    _BackendQTCairo, FigureCanvasQTCairo, FigureCanvasCairo, FigureCanvasQT
+)
+
+
+@_BackendQTCairo.export
+class _BackendQT5Cairo(_BackendQTCairo):
+    pass
diff --git a/lib/matplotlib/backends/backend_qtagg.py b/lib/matplotlib/backends/backend_qtagg.py
new file mode 100644
index 000000000000..256e50a3d1c3
--- /dev/null
+++ b/lib/matplotlib/backends/backend_qtagg.py
@@ -0,0 +1,86 @@
+"""
+Render to qt from agg.
+"""
+
+import ctypes
+
+from matplotlib.transforms import Bbox
+
+from .qt_compat import QT_API, QtCore, QtGui
+from .backend_agg import FigureCanvasAgg
+from .backend_qt import _BackendQT, FigureCanvasQT
+from .backend_qt import (  # noqa: F401 # pylint: disable=W0611
+    FigureManagerQT, NavigationToolbar2QT)
+
+
+class FigureCanvasQTAgg(FigureCanvasAgg, FigureCanvasQT):
+
+    def paintEvent(self, event):
+        """
+        Copy the image from the Agg canvas to the qt.drawable.
+
+        In Qt, all drawing should be done inside of here when a widget is
+        shown onscreen.
+        """
+        self._draw_idle()  # Only does something if a draw is pending.
+
+        # If the canvas does not have a renderer, then give up and wait for
+        # FigureCanvasAgg.draw(self) to be called.
+        if not hasattr(self, 'renderer'):
+            return
+
+        painter = QtGui.QPainter(self)
+        try:
+            # See documentation of QRect: bottom() and right() are off
+            # by 1, so use left() + width() and top() + height().
+            rect = event.rect()
+            # scale rect dimensions using the screen dpi ratio to get
+            # correct values for the Figure coordinates (rather than
+            # QT5's coords)
+            width = rect.width() * self.device_pixel_ratio
+            height = rect.height() * self.device_pixel_ratio
+            left, top = self.mouseEventCoords(rect.topLeft())
+            # shift the "top" by the height of the image to get the
+            # correct corner for our coordinate system
+            bottom = top - height
+            # same with the right side of the image
+            right = left + width
+            # create a buffer using the image bounding box
+            bbox = Bbox([[left, bottom], [right, top]])
+            buf = memoryview(self.copy_from_bbox(bbox))
+
+            if QT_API == "PyQt6":
+                from PyQt6 import sip
+                ptr = int(sip.voidptr(buf))
+            else:
+                ptr = buf
+
+            painter.eraseRect(rect)  # clear the widget canvas
+            qimage = QtGui.QImage(ptr, buf.shape[1], buf.shape[0],
+                                  QtGui.QImage.Format.Format_RGBA8888)
+            qimage.setDevicePixelRatio(self.device_pixel_ratio)
+            # set origin using original QT coordinates
+            origin = QtCore.QPoint(rect.left(), rect.top())
+            painter.drawImage(origin, qimage)
+            # Adjust the buf reference count to work around a memory
+            # leak bug in QImage under PySide.
+            if QT_API == "PySide2" and QtCore.__version_info__ < (5, 12):
+                ctypes.c_long.from_address(id(buf)).value = 1
+
+            self._draw_rect_callback(painter)
+        finally:
+            painter.end()
+
+    def print_figure(self, *args, **kwargs):
+        super().print_figure(*args, **kwargs)
+        # In some cases, Qt will itself trigger a paint event after closing the file
+        # save dialog. When that happens, we need to be sure that the internal canvas is
+        # re-drawn. However, if the user is using an automatically-chosen Qt backend but
+        # saving with a different backend (such as pgf), we do not want to trigger a
+        # full draw in Qt, so just set the flag for next time.
+        self._draw_pending = True
+
+
+@_BackendQT.export
+class _BackendQTAgg(_BackendQT):
+    FigureCanvas = FigureCanvasQTAgg
diff --git a/lib/matplotlib/backends/backend_qtcairo.py b/lib/matplotlib/backends/backend_qtcairo.py
new file mode 100644
index 000000000000..72eb2dc70b90
--- /dev/null
+++ b/lib/matplotlib/backends/backend_qtcairo.py
@@ -0,0 +1,46 @@
+import ctypes
+
+from .backend_cairo import cairo, FigureCanvasCairo
+from .backend_qt import _BackendQT, FigureCanvasQT
+from .qt_compat import QT_API, QtCore, QtGui
+
+
+class FigureCanvasQTCairo(FigureCanvasCairo, FigureCanvasQT):
+    def draw(self):
+        if hasattr(self._renderer.gc, "ctx"):
+            self._renderer.dpi = self.figure.dpi
+            self.figure.draw(self._renderer)
+        super().draw()
+
+    def paintEvent(self, event):
+        width = int(self.device_pixel_ratio * self.width())
+        height = int(self.device_pixel_ratio * self.height())
+        if (width, height) != self._renderer.get_canvas_width_height():
+            surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
+            self._renderer.set_context(cairo.Context(surface))
+            self._renderer.dpi = self.figure.dpi
+            self.figure.draw(self._renderer)
+        buf = self._renderer.gc.ctx.get_target().get_data()
+        if QT_API == "PyQt6":
+            from PyQt6 import sip
+            ptr = int(sip.voidptr(buf))
+        else:
+            ptr = buf
+        qimage = QtGui.QImage(
+            ptr, width, height,
+            QtGui.QImage.Format.Format_ARGB32_Premultiplied)
+        # Adjust the buf reference count to work around a memory leak bug in
+        # QImage under PySide.
+        if QT_API == "PySide2" and QtCore.__version_info__ < (5, 12):
+            ctypes.c_long.from_address(id(buf)).value = 1
+        qimage.setDevicePixelRatio(self.device_pixel_ratio)
+        painter = QtGui.QPainter(self)
+        painter.eraseRect(event.rect())
+        painter.drawImage(0, 0, qimage)
+        self._draw_rect_callback(painter)
+        painter.end()
+
+
+@_BackendQT.export
+class _BackendQTCairo(_BackendQT):
+    FigureCanvas = FigureCanvasQTCairo
diff --git a/lib/matplotlib/backends/backend_svg.py b/lib/matplotlib/backends/backend_svg.py
index ba8a2fa751ca..0cb6430ec823 100644
--- a/lib/matplotlib/backends/backend_svg.py
+++ b/lib/matplotlib/backends/backend_svg.py
@@ -1,34 +1,32 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-from six import unichr
-
-import os, base64, tempfile, gzip, io, sys, codecs, re
+import base64
+import codecs
+import datetime
+import gzip
+import hashlib
+from io import BytesIO
+import itertools
+import logging
+import os
+import re
+import uuid
 
 import numpy as np
+from PIL import Image
 
-from hashlib import md5
-
-from matplotlib import verbose, __version__, rcParams
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureManagerBase, FigureCanvasBase
+import matplotlib as mpl
+from matplotlib import cbook, font_manager as fm
+from matplotlib.backend_bases import (
+     _Backend, FigureCanvasBase, FigureManagerBase, RendererBase)
 from matplotlib.backends.backend_mixed import MixedModeRenderer
-from matplotlib.cbook import is_string_like, is_writable_file_like, maxdict
 from matplotlib.colors import rgb2hex
-from matplotlib.figure import Figure
-from matplotlib.font_manager import findfont, FontProperties
-from matplotlib.ft2font import FT2Font, KERNING_DEFAULT, LOAD_NO_HINTING
-from matplotlib.mathtext import MathTextParser
+from matplotlib.dates import UTC
 from matplotlib.path import Path
 from matplotlib import _path
 from matplotlib.transforms import Affine2D, Affine2DBase
-from matplotlib import _png
 
-from xml.sax.saxutils import escape as escape_xml_text
 
-backend_version = __version__
+_log = logging.getLogger(__name__)
+
 
 # ----------------------------------------------------------------------
 # SimpleXMLWriter class
@@ -67,37 +65,57 @@
 # OF THIS SOFTWARE.
 # --------------------------------------------------------------------
 
-def escape_cdata(s):
+
+def _escape_cdata(s):
     s = s.replace("&", "&amp;")
     s = s.replace("<", "&lt;")
     s = s.replace(">", "&gt;")
     return s
 
+
 _escape_xml_comment = re.compile(r'-(?=-)')
-def escape_comment(s):
-    s = escape_cdata(s)
+
+
+def _escape_comment(s):
+    s = _escape_cdata(s)
     return _escape_xml_comment.sub('- ', s)
 
-def escape_attrib(s):
+
+def _escape_attrib(s):
     s = s.replace("&", "&amp;")
     s = s.replace("'", "&apos;")
-    s = s.replace("\"", "&quot;")
+    s = s.replace('"', "&quot;")
     s = s.replace("<", "&lt;")
     s = s.replace(">", "&gt;")
     return s
 
-##
-# XML writer class.
-#
-# @param file A file or file-like object.  This object must implement
-#    a <b>write</b> method that takes an 8-bit string.
 
-class XMLWriter(object):
+def _quote_escape_attrib(s):
+    return ('"' + _escape_cdata(s) + '"' if '"' not in s else
+            "'" + _escape_cdata(s) + "'" if "'" not in s else
+            '"' + _escape_attrib(s) + '"')
+
+
+def _short_float_fmt(x):
+    """
+    Create a short string representation of a float, which is %f
+    formatting with trailing zeros and the decimal point removed.
+    """
+    return f'{x:f}'.rstrip('0').rstrip('.')
+
+
+class XMLWriter:
+    """
+    Parameters
+    ----------
+    file : writable text file-like object
+    """
+
     def __init__(self, file):
         self.__write = file.write
         if hasattr(file, "flush"):
             self.flush = file.flush
-        self.__open = 0 # true if start tag is open
+        self.__open = 0  # true if start tag is open
         self.__tags = []
         self.__data = []
         self.__indentation = " " * 64
@@ -112,69 +130,82 @@ def __flush(self, indent=True):
             self.__open = 0
         if self.__data:
             data = ''.join(self.__data)
-            self.__write(escape_cdata(data))
+            self.__write(_escape_cdata(data))
             self.__data = []
 
-    ## Opens a new element.  Attributes can be given as keyword
-    # arguments, or as a string/string dictionary. The method returns
-    # an opaque identifier that can be passed to the <b>close</b>
-    # method, to close all open elements up to and including this one.
-    #
-    # @param tag Element tag.
-    # @param attrib Attribute dictionary.  Alternatively, attributes
-    #    can be given as keyword arguments.
-    # @return An element identifier.
-
     def start(self, tag, attrib={}, **extra):
+        """
+        Open a new element.  Attributes can be given as keyword
+        arguments, or as a string/string dictionary. The method returns
+        an opaque identifier that can be passed to the :meth:`close`
+        method, to close all open elements up to and including this one.
+
+        Parameters
+        ----------
+        tag
+            Element tag.
+        attrib
+            Attribute dictionary.  Alternatively, attributes can be given as
+            keyword arguments.
+
+        Returns
+        -------
+        An element identifier.
+        """
         self.__flush()
-        tag = escape_cdata(tag)
+        tag = _escape_cdata(tag)
         self.__data = []
         self.__tags.append(tag)
         self.__write(self.__indentation[:len(self.__tags) - 1])
-        self.__write("<%s" % tag)
-        if attrib or extra:
-            attrib = attrib.copy()
-            attrib.update(extra)
-            attrib = list(six.iteritems(attrib))
-            attrib.sort()
-            for k, v in attrib:
-                if not v == '':
-                    k = escape_cdata(k)
-                    v = escape_attrib(v)
-                    self.__write(" %s=\"%s\"" % (k, v))
+        self.__write(f"<{tag}")
+        for k, v in {**attrib, **extra}.items():
+            if v:
+                k = _escape_cdata(k)
+                v = _quote_escape_attrib(v)
+                self.__write(f' {k}={v}')
         self.__open = 1
-        return len(self.__tags)-1
-
-    ##
-    # Adds a comment to the output stream.
-    #
-    # @param comment Comment text, as a Unicode string.
+        return len(self.__tags) - 1
 
     def comment(self, comment):
+        """
+        Add a comment to the output stream.
+
+        Parameters
+        ----------
+        comment : str
+            Comment text.
+        """
         self.__flush()
         self.__write(self.__indentation[:len(self.__tags)])
-        self.__write("<!-- %s -->\n" % escape_comment(comment))
-
-    ##
-    # Adds character data to the output stream.
-    #
-    # @param text Character data, as a Unicode string.
+        self.__write(f"<!-- {_escape_comment(comment)} -->\n")
 
     def data(self, text):
-        self.__data.append(text)
+        """
+        Add character data to the output stream.
 
-    ##
-    # Closes the current element (opened by the most recent call to
-    # <b>start</b>).
-    #
-    # @param tag Element tag.  If given, the tag must match the start
-    #    tag.  If omitted, the current element is closed.
+        Parameters
+        ----------
+        text : str
+            Character data.
+        """
+        self.__data.append(text)
 
     def end(self, tag=None, indent=True):
+        """
+        Close the current element (opened by the most recent call to
+        :meth:`start`).
+
+        Parameters
+        ----------
+        tag
+            Element tag.  If given, the tag must match the start tag.  If
+            omitted, the current element is closed.
+        indent : bool, default: True
+        """
         if tag:
-            assert self.__tags, "unbalanced end(%s)" % tag
-            assert escape_cdata(tag) == self.__tags[-1],\
-                   "expected end(%s), got %s" % (self.__tags[-1], tag)
+            assert self.__tags, f"unbalanced end({tag})"
+            assert _escape_cdata(tag) == self.__tags[-1], \
+                f"expected end({self.__tags[-1]}), got {tag}"
         else:
             assert self.__tags, "unbalanced end()"
         tag = self.__tags.pop()
@@ -186,150 +217,279 @@ def end(self, tag=None, indent=True):
             return
         if indent:
             self.__write(self.__indentation[:len(self.__tags)])
-        self.__write("</%s>\n" % tag)
-
-    ##
-    # Closes open elements, up to (and including) the element identified
-    # by the given identifier.
-    #
-    # @param id Element identifier, as returned by the <b>start</b> method.
+        self.__write(f"</{tag}>\n")
 
     def close(self, id):
+        """
+        Close open elements, up to (and including) the element identified
+        by the given identifier.
+
+        Parameters
+        ----------
+        id
+            Element identifier, as returned by the :meth:`start` method.
+        """
         while len(self.__tags) > id:
             self.end()
 
-    ##
-    # Adds an entire element.  This is the same as calling <b>start</b>,
-    # <b>data</b>, and <b>end</b> in sequence. The <b>text</b> argument
-    # can be omitted.
-
     def element(self, tag, text=None, attrib={}, **extra):
-        self.start(*(tag, attrib), **extra)
+        """
+        Add an entire element.  This is the same as calling :meth:`start`,
+        :meth:`data`, and :meth:`end` in sequence. The *text* argument can be
+        omitted.
+        """
+        self.start(tag, attrib, **extra)
         if text:
             self.data(text)
         self.end(indent=False)
 
-    ##
-    # Flushes the output stream.
-
     def flush(self):
-        pass # replaced by the constructor
+        """Flush the output stream."""
+        pass  # replaced by the constructor
 
-# ----------------------------------------------------------------------
 
-def generate_transform(transform_list=[]):
-    if len(transform_list):
-        output = io.StringIO()
-        for type, value in transform_list:
-            if type == 'scale' and (value == (1.0,) or value == (1.0, 1.0)):
-                continue
-            if type == 'translate' and value == (0.0, 0.0):
-                continue
-            if type == 'rotate' and value == (0.0,):
-                continue
-            if type == 'matrix' and isinstance(value, Affine2DBase):
-                value = value.to_values()
-
-            output.write('%s(%s)' % (type, ' '.join(str(x) for x in value)))
-        return output.getvalue()
-    return ''
-
-def generate_css(attrib={}):
-    if attrib:
-        output = io.StringIO()
-        attrib = list(six.iteritems(attrib))
-        attrib.sort()
-        for k, v in attrib:
-            k = escape_attrib(k)
-            v = escape_attrib(v)
-            output.write("%s:%s;" % (k, v))
-        return output.getvalue()
-    return ''
-
-_capstyle_d = {'projecting' : 'square', 'butt' : 'butt', 'round': 'round',}
-class RendererSVG(RendererBase):
-    FONT_SCALE = 100.0
-    fontd = maxdict(50)
+def _generate_transform(transform_list):
+    parts = []
+    for type, value in transform_list:
+        if (type == 'scale' and (value == (1,) or value == (1, 1))
+                or type == 'translate' and value == (0, 0)
+                or type == 'rotate' and value == (0,)):
+            continue
+        if type == 'matrix' and isinstance(value, Affine2DBase):
+            value = value.to_values()
+        parts.append('{}({})'.format(
+            type, ' '.join(_short_float_fmt(x) for x in value)))
+    return ' '.join(parts)
+
+
+def _generate_css(attrib):
+    return "; ".join(f"{k}: {v}" for k, v in attrib.items())
+
 
-    def __init__(self, width, height, svgwriter, basename=None, image_dpi=72):
+_capstyle_d = {'projecting': 'square', 'butt': 'butt', 'round': 'round'}
+
+
+def _check_is_str(info, key):
+    if not isinstance(info, str):
+        raise TypeError(f'Invalid type for {key} metadata. Expected str, not '
+                        f'{type(info)}.')
+
+
+def _check_is_iterable_of_str(infos, key):
+    if np.iterable(infos):
+        for info in infos:
+            if not isinstance(info, str):
+                raise TypeError(f'Invalid type for {key} metadata. Expected '
+                                f'iterable of str, not {type(info)}.')
+    else:
+        raise TypeError(f'Invalid type for {key} metadata. Expected str or '
+                        f'iterable of str, not {type(infos)}.')
+
+
+class RendererSVG(RendererBase):
+    def __init__(self, width, height, svgwriter, basename=None, image_dpi=72,
+                 *, metadata=None):
         self.width = width
         self.height = height
         self.writer = XMLWriter(svgwriter)
-        self.image_dpi = image_dpi # the actual dpi we want to rasterize stuff with
+        self.image_dpi = image_dpi  # actual dpi at which we rasterize stuff
+
+        if basename is None:
+            basename = getattr(svgwriter, "name", "")
+            if not isinstance(basename, str):
+                basename = ""
+        self.basename = basename
 
         self._groupd = {}
-        if not rcParams['svg.image_inline']:
-            assert basename is not None
-            self.basename = basename
-            self._imaged = {}
+        self._image_counter = itertools.count()
+        self._clip_path_ids = {}
         self._clipd = {}
-        self._char_defs = {}
         self._markers = {}
         self._path_collection_id = 0
-        self._imaged = {}
         self._hatchd = {}
         self._has_gouraud = False
         self._n_gradients = 0
-        self._fonts = {}
-        self.mathtext_parser = MathTextParser('SVG')
 
-        RendererBase.__init__(self)
+        super().__init__()
         self._glyph_map = dict()
-
+        str_height = _short_float_fmt(height)
+        str_width = _short_float_fmt(width)
         svgwriter.write(svgProlog)
         self._start_id = self.writer.start(
             'svg',
-            width='%ipt' % width, height='%ipt' % height,
-            viewBox='0 0 %i %i' % (width, height),
+            width=f'{str_width}pt',
+            height=f'{str_height}pt',
+            viewBox=f'0 0 {str_width} {str_height}',
             xmlns="http://www.w3.org/2000/svg",
             version="1.1",
+            id=mpl.rcParams['svg.id'],
             attrib={'xmlns:xlink': "http://www.w3.org/1999/xlink"})
+        self._write_metadata(metadata)
         self._write_default_style()
 
+    def _get_clippath_id(self, clippath):
+        """
+        Returns a stable and unique identifier for the *clippath* argument
+        object within the current rendering context.
+
+        This allows plots that include custom clip paths to produce identical
+        SVG output on each render, provided that the :rc:`svg.hashsalt` config
+        setting and the ``SOURCE_DATE_EPOCH`` build-time environment variable
+        are set to fixed values.
+        """
+        if clippath not in self._clip_path_ids:
+            self._clip_path_ids[clippath] = len(self._clip_path_ids)
+        return self._clip_path_ids[clippath]
+
     def finalize(self):
         self._write_clips()
         self._write_hatches()
-        self._write_svgfonts()
         self.writer.close(self._start_id)
         self.writer.flush()
 
+    def _write_metadata(self, metadata):
+        # Add metadata following the Dublin Core Metadata Initiative, and the
+        # Creative Commons Rights Expression Language. This is mainly for
+        # compatibility with Inkscape.
+        if metadata is None:
+            metadata = {}
+        metadata = {
+            'Format': 'image/svg+xml',
+            'Type': 'http://purl.org/dc/dcmitype/StillImage',
+            'Creator':
+                f'Matplotlib v{mpl.__version__}, https://matplotlib.org/',
+            **metadata
+        }
+        writer = self.writer
+
+        if 'Title' in metadata:
+            title = metadata['Title']
+            _check_is_str(title, 'Title')
+            writer.element('title', text=title)
+
+        # Special handling.
+        date = metadata.get('Date', None)
+        if date is not None:
+            if isinstance(date, str):
+                dates = [date]
+            elif isinstance(date, (datetime.datetime, datetime.date)):
+                dates = [date.isoformat()]
+            elif np.iterable(date):
+                dates = []
+                for d in date:
+                    if isinstance(d, str):
+                        dates.append(d)
+                    elif isinstance(d, (datetime.datetime, datetime.date)):
+                        dates.append(d.isoformat())
+                    else:
+                        raise TypeError(
+                            f'Invalid type for Date metadata. '
+                            f'Expected iterable of str, date, or datetime, '
+                            f'not {type(d)}.')
+            else:
+                raise TypeError(f'Invalid type for Date metadata. '
+                                f'Expected str, date, datetime, or iterable '
+                                f'of the same, not {type(date)}.')
+            metadata['Date'] = '/'.join(dates)
+        elif 'Date' not in metadata:
+            # Do not add `Date` if the user explicitly set `Date` to `None`
+            # Get source date from SOURCE_DATE_EPOCH, if set.
+            # See https://reproducible-builds.org/specs/source-date-epoch/
+            date = os.getenv("SOURCE_DATE_EPOCH")
+            if date:
+                date = datetime.datetime.fromtimestamp(int(date), datetime.timezone.utc)
+                metadata['Date'] = date.replace(tzinfo=UTC).isoformat()
+            else:
+                metadata['Date'] = datetime.datetime.today().isoformat()
+
+        mid = None
+        def ensure_metadata(mid):
+            if mid is not None:
+                return mid
+            mid = writer.start('metadata')
+            writer.start('rdf:RDF', attrib={
+                'xmlns:dc': "http://purl.org/dc/elements/1.1/",
+                'xmlns:cc': "http://creativecommons.org/ns#",
+                'xmlns:rdf': "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
+            })
+            writer.start('cc:Work')
+            return mid
+
+        uri = metadata.pop('Type', None)
+        if uri is not None:
+            mid = ensure_metadata(mid)
+            writer.element('dc:type', attrib={'rdf:resource': uri})
+
+        # Single value only.
+        for key in ['Title', 'Coverage', 'Date', 'Description', 'Format',
+                    'Identifier', 'Language', 'Relation', 'Source']:
+            info = metadata.pop(key, None)
+            if info is not None:
+                mid = ensure_metadata(mid)
+                _check_is_str(info, key)
+                writer.element(f'dc:{key.lower()}', text=info)
+
+        # Multiple Agent values.
+        for key in ['Creator', 'Contributor', 'Publisher', 'Rights']:
+            agents = metadata.pop(key, None)
+            if agents is None:
+                continue
+
+            if isinstance(agents, str):
+                agents = [agents]
+
+            _check_is_iterable_of_str(agents, key)
+            # Now we know that we have an iterable of str
+            mid = ensure_metadata(mid)
+            writer.start(f'dc:{key.lower()}')
+            for agent in agents:
+                writer.start('cc:Agent')
+                writer.element('dc:title', text=agent)
+                writer.end('cc:Agent')
+            writer.end(f'dc:{key.lower()}')
+
+        # Multiple values.
+        keywords = metadata.pop('Keywords', None)
+        if keywords is not None:
+            if isinstance(keywords, str):
+                keywords = [keywords]
+            _check_is_iterable_of_str(keywords, 'Keywords')
+            # Now we know that we have an iterable of str
+            mid = ensure_metadata(mid)
+            writer.start('dc:subject')
+            writer.start('rdf:Bag')
+            for keyword in keywords:
+                writer.element('rdf:li', text=keyword)
+            writer.end('rdf:Bag')
+            writer.end('dc:subject')
+
+        if mid is not None:
+            writer.close(mid)
+
+        if metadata:
+            raise ValueError('Unknown metadata key(s) passed to SVG writer: ' +
+                             ','.join(metadata))
+
     def _write_default_style(self):
         writer = self.writer
-        default_style = generate_css({
+        default_style = _generate_css({
             'stroke-linejoin': 'round',
             'stroke-linecap': 'butt'})
         writer.start('defs')
-        writer.start('style', type='text/css')
-        writer.data('*{%s}\n' % default_style)
-        writer.end('style')
+        writer.element('style', type='text/css', text='*{%s}' % default_style)
         writer.end('defs')
 
     def _make_id(self, type, content):
-        content = str(content)
-        if six.PY3:
-            content = content.encode('utf8')
-        return '%s%s' % (type, md5(content).hexdigest()[:10])
+        salt = mpl.rcParams['svg.hashsalt']
+        if salt is None:
+            salt = str(uuid.uuid4())
+        m = hashlib.sha256()
+        m.update(salt.encode('utf8'))
+        m.update(str(content).encode('utf8'))
+        return f'{type}{m.hexdigest()[:10]}'
 
     def _make_flip_transform(self, transform):
-        return (transform +
-                Affine2D()
-                .scale(1.0, -1.0)
-                .translate(0.0, self.height))
-
-    def _get_font(self, prop):
-        key = hash(prop)
-        font = self.fontd.get(key)
-        if font is None:
-            fname = findfont(prop)
-            font = self.fontd.get(fname)
-            if font is None:
-                font = FT2Font(fname)
-                self.fontd[fname] = font
-            self.fontd[key] = font
-        font.clear()
-        size = prop.get_size_in_points()
-        font.set_size(size, 72.0)
-        return font
+        return transform + Affine2D().scale(1, -1).translate(0, self.height)
 
     def _get_hatch(self, gc, rgbFace):
         """
@@ -337,14 +497,15 @@ def _get_hatch(self, gc, rgbFace):
         """
         if rgbFace is not None:
             rgbFace = tuple(rgbFace)
-        edge = gc.get_rgb()
+        edge = gc.get_hatch_color()
         if edge is not None:
             edge = tuple(edge)
-        dictkey = (gc.get_hatch(), rgbFace, edge)
+        lw = gc.get_hatch_linewidth()
+        dictkey = (gc.get_hatch(), rgbFace, edge, lw)
         oid = self._hatchd.get(dictkey)
         if oid is None:
             oid = self._make_id('h', dictkey)
-            self._hatchd[dictkey] = ((gc.get_hatch_path(), rgbFace, edge), oid)
+            self._hatchd[dictkey] = ((gc.get_hatch_path(), rgbFace, edge, lw), oid)
         else:
             _, oid = oid
         return oid
@@ -355,16 +516,17 @@ def _write_hatches(self):
         HATCH_SIZE = 72
         writer = self.writer
         writer.start('defs')
-        for ((path, face, stroke), oid) in six.itervalues(self._hatchd):
+        for (path, face, stroke, lw), oid in self._hatchd.values():
             writer.start(
                 'pattern',
                 id=oid,
                 patternUnits="userSpaceOnUse",
-                x="0", y="0", width=six.text_type(HATCH_SIZE),
-                height=six.text_type(HATCH_SIZE))
+                x="0", y="0", width=str(HATCH_SIZE),
+                height=str(HATCH_SIZE))
             path_data = self._convert_path(
                 path,
-                Affine2D().scale(HATCH_SIZE).scale(1.0, -1.0).translate(0, HATCH_SIZE),
+                Affine2D()
+                .scale(HATCH_SIZE).scale(1.0, -1.0).translate(0, HATCH_SIZE),
                 simplify=False)
             if face is None:
                 fill = 'none'
@@ -372,61 +534,64 @@ def _write_hatches(self):
                 fill = rgb2hex(face)
             writer.element(
                 'rect',
-                x="0", y="0", width=six.text_type(HATCH_SIZE+1),
-                height=six.text_type(HATCH_SIZE+1),
+                x="0", y="0", width=str(HATCH_SIZE+1),
+                height=str(HATCH_SIZE+1),
                 fill=fill)
-            writer.element(
-                'path',
-                d=path_data,
-                style=generate_css({
+            hatch_style = {
                     'fill': rgb2hex(stroke),
                     'stroke': rgb2hex(stroke),
-                    'stroke-width': '1.0',
+                    'stroke-width': str(lw),
                     'stroke-linecap': 'butt',
                     'stroke-linejoin': 'miter'
-                    })
+                    }
+            if stroke[3] < 1:
+                hatch_style['stroke-opacity'] = str(stroke[3])
+            writer.element(
+                'path',
+                d=path_data,
+                style=_generate_css(hatch_style)
                 )
             writer.end('pattern')
         writer.end('defs')
 
     def _get_style_dict(self, gc, rgbFace):
-        """
-        return the style string.  style is generated from the
-        GraphicsContext and rgbFace
-        """
+        """Generate a style string from the GraphicsContext and rgbFace."""
         attrib = {}
 
         forced_alpha = gc.get_forced_alpha()
 
         if gc.get_hatch() is not None:
-            attrib['fill'] = "url(#%s)" % self._get_hatch(gc, rgbFace)
-            if rgbFace is not None and len(rgbFace) == 4 and rgbFace[3] != 1.0 and not forced_alpha:
-                attrib['fill-opacity'] = str(rgbFace[3])
+            attrib['fill'] = f"url(#{self._get_hatch(gc, rgbFace)})"
+            if (rgbFace is not None and len(rgbFace) == 4 and rgbFace[3] != 1.0
+                    and not forced_alpha):
+                attrib['fill-opacity'] = _short_float_fmt(rgbFace[3])
         else:
             if rgbFace is None:
                 attrib['fill'] = 'none'
             else:
                 if tuple(rgbFace[:3]) != (0, 0, 0):
                     attrib['fill'] = rgb2hex(rgbFace)
-                if len(rgbFace) == 4 and rgbFace[3] != 1.0 and not forced_alpha:
-                    attrib['fill-opacity'] = str(rgbFace[3])
+                if (len(rgbFace) == 4 and rgbFace[3] != 1.0
+                        and not forced_alpha):
+                    attrib['fill-opacity'] = _short_float_fmt(rgbFace[3])
 
         if forced_alpha and gc.get_alpha() != 1.0:
-            attrib['opacity'] = str(gc.get_alpha())
+            attrib['opacity'] = _short_float_fmt(gc.get_alpha())
 
         offset, seq = gc.get_dashes()
         if seq is not None:
-            attrib['stroke-dasharray'] = ','.join(['%f' % val for val in seq])
-            attrib['stroke-dashoffset'] = six.text_type(float(offset))
+            attrib['stroke-dasharray'] = ','.join(
+                _short_float_fmt(val) for val in seq)
+            attrib['stroke-dashoffset'] = _short_float_fmt(float(offset))
 
         linewidth = gc.get_linewidth()
         if linewidth:
             rgb = gc.get_rgb()
             attrib['stroke'] = rgb2hex(rgb)
             if not forced_alpha and rgb[3] != 1.0:
-                attrib['stroke-opacity'] = str(rgb[3])
+                attrib['stroke-opacity'] = _short_float_fmt(rgb[3])
             if linewidth != 1.0:
-                attrib['stroke-width'] = str(linewidth)
+                attrib['stroke-width'] = _short_float_fmt(linewidth)
             if gc.get_joinstyle() != 'round':
                 attrib['stroke-linejoin'] = gc.get_joinstyle()
             if gc.get_capstyle() != 'butt':
@@ -435,21 +600,20 @@ def _get_style_dict(self, gc, rgbFace):
         return attrib
 
     def _get_style(self, gc, rgbFace):
-        return generate_css(self._get_style_dict(gc, rgbFace))
+        return _generate_css(self._get_style_dict(gc, rgbFace))
 
-    def _get_clip(self, gc):
+    def _get_clip_attrs(self, gc):
         cliprect = gc.get_clip_rectangle()
         clippath, clippath_trans = gc.get_clip_path()
         if clippath is not None:
             clippath_trans = self._make_flip_transform(clippath_trans)
-            dictkey = (id(clippath), str(clippath_trans))
+            dictkey = (self._get_clippath_id(clippath), str(clippath_trans))
         elif cliprect is not None:
             x, y, w, h = cliprect.bounds
             y = self.height-(y+h)
             dictkey = (x, y, w, h)
         else:
-            return None
-
+            return {}
         clip = self._clipd.get(dictkey)
         if clip is None:
             oid = self._make_id('p', dictkey)
@@ -458,109 +622,78 @@ def _get_clip(self, gc):
             else:
                 self._clipd[dictkey] = (dictkey, oid)
         else:
-            clip, oid = clip
-        return oid
+            _, oid = clip
+        return {'clip-path': f'url(#{oid})'}
 
     def _write_clips(self):
         if not len(self._clipd):
             return
         writer = self.writer
         writer.start('defs')
-        for clip, oid in six.itervalues(self._clipd):
+        for clip, oid in self._clipd.values():
             writer.start('clipPath', id=oid)
             if len(clip) == 2:
                 clippath, clippath_trans = clip
-                path_data = self._convert_path(clippath, clippath_trans, simplify=False)
+                path_data = self._convert_path(
+                    clippath, clippath_trans, simplify=False)
                 writer.element('path', d=path_data)
             else:
                 x, y, w, h = clip
-                writer.element('rect', x=six.text_type(x), y=six.text_type(y),
-                               width=six.text_type(w), height=six.text_type(h))
-            writer.end('clipPath')
-        writer.end('defs')
-
-    def _write_svgfonts(self):
-        if not rcParams['svg.fonttype'] == 'svgfont':
-            return
-
-        writer = self.writer
-        writer.start('defs')
-        for font_fname, chars in six.iteritems(self._fonts):
-            font = FT2Font(font_fname)
-            font.set_size(72, 72)
-            sfnt = font.get_sfnt()
-            writer.start('font', id=sfnt[(1, 0, 0, 4)])
-            writer.element(
-                'font-face',
-                attrib={
-                    'font-family': font.family_name,
-                    'font-style': font.style_name.lower(),
-                    'units-per-em': '72',
-                    'bbox': ' '.join(six.text_type(x / 64.0) for x in font.bbox)})
-            for char in chars:
-                glyph = font.load_char(char, flags=LOAD_NO_HINTING)
-                verts, codes = font.get_path()
-                path = Path(verts, codes)
-                path_data = self._convert_path(path)
-                # name = font.get_glyph_name(char)
                 writer.element(
-                    'glyph',
-                    d=path_data,
-                    attrib={
-                        # 'glyph-name': name,
-                        'unicode': unichr(char),
-                        'horiz-adv-x': six.text_type(glyph.linearHoriAdvance / 65536.0)})
-            writer.end('font')
+                    'rect',
+                    x=_short_float_fmt(x),
+                    y=_short_float_fmt(y),
+                    width=_short_float_fmt(w),
+                    height=_short_float_fmt(h))
+            writer.end('clipPath')
         writer.end('defs')
 
     def open_group(self, s, gid=None):
-        """
-        Open a grouping element with label *s*. If *gid* is given, use
-        *gid* as the id of the group.
-        """
+        # docstring inherited
         if gid:
             self.writer.start('g', id=gid)
         else:
             self._groupd[s] = self._groupd.get(s, 0) + 1
-            self.writer.start('g', id="%s_%d" % (s, self._groupd[s]))
+            self.writer.start('g', id=f"{s}_{self._groupd[s]:d}")
 
     def close_group(self, s):
+        # docstring inherited
         self.writer.end('g')
 
     def option_image_nocomposite(self):
-        """
-        if svg.image_noscale is True, compositing multiple images into one is prohibited
-        """
-        return rcParams['svg.image_noscale']
+        # docstring inherited
+        return not mpl.rcParams['image.composite_image']
 
-    def _convert_path(self, path, transform=None, clip=None, simplify=None):
+    def _convert_path(self, path, transform=None, clip=None, simplify=None,
+                      sketch=None):
         if clip:
             clip = (0.0, 0.0, self.width, self.height)
         else:
             clip = None
-        return _path.convert_to_svg(path, transform, clip, simplify, 6)
+        return _path.convert_to_string(
+            path, transform, clip, simplify, sketch, 6,
+            [b'M', b'L', b'Q', b'C', b'z'], False).decode('ascii')
 
     def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
         trans_and_flip = self._make_flip_transform(transform)
         clip = (rgbFace is None and gc.get_hatch_path() is None)
         simplify = path.should_simplify and clip
         path_data = self._convert_path(
-            path, trans_and_flip, clip=clip, simplify=simplify)
-
-        attrib = {}
-        attrib['style'] = self._get_style(gc, rgbFace)
-
-        clipid = self._get_clip(gc)
-        if clipid is not None:
-            attrib['clip-path'] = 'url(#%s)' % clipid
+            path, trans_and_flip, clip=clip, simplify=simplify,
+            sketch=gc.get_sketch_params())
 
         if gc.get_url() is not None:
             self.writer.start('a', {'xlink:href': gc.get_url()})
-        self.writer.element('path', d=path_data, attrib=attrib)
+        self.writer.element('path', d=path_data, **self._get_clip_attrs(gc),
+                            style=self._get_style(gc, rgbFace))
         if gc.get_url() is not None:
             self.writer.end('a')
 
-    def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
+    def draw_markers(
+            self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
+        # docstring inherited
+
         if not len(path.vertices):
             return
 
@@ -570,12 +703,10 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None)
             marker_trans + Affine2D().scale(1.0, -1.0),
             simplify=False)
         style = self._get_style_dict(gc, rgbFace)
-        dictkey = (path_data, generate_css(style))
+        dictkey = (path_data, _generate_css(style))
         oid = self._markers.get(dictkey)
-        for key in list(six.iterkeys(style)):
-            if not key.startswith('stroke'):
-                del style[key]
-        style = generate_css(style)
+        style = _generate_css({k: v for k, v in style.items()
+                              if k.startswith('stroke')})
 
         if oid is None:
             oid = self._make_id('m', dictkey)
@@ -584,29 +715,30 @@ def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None)
             writer.end('defs')
             self._markers[dictkey] = oid
 
-        attrib = {}
-        clipid = self._get_clip(gc)
-        if clipid is not None:
-            attrib['clip-path'] = 'url(#%s)' % clipid
-        writer.start('g', attrib=attrib)
-
+        writer.start('g', **self._get_clip_attrs(gc))
+        if gc.get_url() is not None:
+            self.writer.start('a', {'xlink:href': gc.get_url()})
         trans_and_flip = self._make_flip_transform(trans)
-        attrib = {'xlink:href': '#%s' % oid}
+        attrib = {'xlink:href': f'#{oid}'}
         clip = (0, 0, self.width*72, self.height*72)
         for vertices, code in path.iter_segments(
                 trans_and_flip, clip=clip, simplify=False):
             if len(vertices):
                 x, y = vertices[-2:]
-                attrib['x'] = six.text_type(x)
-                attrib['y'] = six.text_type(y)
+                attrib['x'] = _short_float_fmt(x)
+                attrib['y'] = _short_float_fmt(y)
                 attrib['style'] = self._get_style(gc, rgbFace)
                 writer.element('use', attrib=attrib)
+        if gc.get_url() is not None:
+            self.writer.end('a')
         writer.end('g')
 
     def draw_path_collection(self, gc, master_transform, paths, all_transforms,
-                             offsets, offsetTrans, facecolors, edgecolors,
+                             offsets, offset_trans, facecolors, edgecolors,
                              linewidths, linestyles, antialiaseds, urls,
-                             offset_position):
+                             offset_position, *, hatchcolors=None):
+        if hatchcolors is None:
+            hatchcolors = []
         # Is the optimization worth it? Rough calculation:
         # cost of emitting a path in-line is
         #    (len_path + 5) * uses_per_path
@@ -618,50 +750,50 @@ def draw_path_collection(self, gc, master_transform, paths, all_transforms,
         should_do_optimization = \
             len_path + 9 * uses_per_path + 3 < (len_path + 5) * uses_per_path
         if not should_do_optimization:
-            return RendererBase.draw_path_collection(
-                self, gc, master_transform, paths, all_transforms,
-                offsets, offsetTrans, facecolors, edgecolors,
+            return super().draw_path_collection(
+                gc, master_transform, paths, all_transforms,
+                offsets, offset_trans, facecolors, edgecolors,
                 linewidths, linestyles, antialiaseds, urls,
-                offset_position)
+                offset_position, hatchcolors=hatchcolors)
 
         writer = self.writer
         path_codes = []
         writer.start('defs')
         for i, (path, transform) in enumerate(self._iter_collection_raw_paths(
-            master_transform, paths, all_transforms)):
+                master_transform, paths, all_transforms)):
             transform = Affine2D(transform.get_matrix()).scale(1.0, -1.0)
             d = self._convert_path(path, transform, simplify=False)
-            oid = 'C%x_%x_%s' % (self._path_collection_id, i,
-                                  self._make_id('', d))
+            oid = 'C{:x}_{:x}_{}'.format(
+                self._path_collection_id, i, self._make_id('', d))
             writer.element('path', id=oid, d=d)
             path_codes.append(oid)
         writer.end('defs')
 
         for xo, yo, path_id, gc0, rgbFace in self._iter_collection(
-            gc, master_transform, all_transforms, path_codes, offsets,
-            offsetTrans, facecolors, edgecolors, linewidths, linestyles,
-            antialiaseds, urls, offset_position):
-            clipid = self._get_clip(gc0)
+                gc, path_codes, offsets, offset_trans,
+                facecolors, edgecolors, linewidths, linestyles,
+                antialiaseds, urls, offset_position, hatchcolors=hatchcolors):
             url = gc0.get_url()
             if url is not None:
                 writer.start('a', attrib={'xlink:href': url})
-            if clipid is not None:
-                writer.start('g', attrib={'clip-path': 'url(#%s)' % clipid})
+            clip_attrs = self._get_clip_attrs(gc0)
+            if clip_attrs:
+                writer.start('g', **clip_attrs)
             attrib = {
-                'xlink:href': '#%s' % path_id,
-                'x': six.text_type(xo),
-                'y': six.text_type(self.height - yo),
+                'xlink:href': f'#{path_id}',
+                'x': _short_float_fmt(xo),
+                'y': _short_float_fmt(self.height - yo),
                 'style': self._get_style(gc0, rgbFace)
                 }
             writer.element('use', attrib=attrib)
-            if clipid is not None:
+            if clip_attrs:
                 writer.end('g')
             if url is not None:
                 writer.end('a')
 
         self._path_collection_id += 1
 
-    def draw_gouraud_triangle(self, gc, points, colors, trans):
+    def _draw_gouraud_triangle(self, transformed_points, colors):
         # This uses a method described here:
         #
         #   http://www.svgopen.org/2005/papers/Converting3DFaceToSVG/index.html
@@ -673,34 +805,18 @@ def draw_gouraud_triangle(self, gc, points, colors, trans):
         # opposite edge.  Underlying these three gradients is a solid
         # triangle whose color is the average of all three points.
 
-        writer = self.writer
-        if not self._has_gouraud:
-            self._has_gouraud = True
-            writer.start(
-                'filter',
-                id='colorAdd')
-            writer.element(
-                'feComposite',
-                attrib={'in': 'SourceGraphic'},
-                in2='BackgroundImage',
-                operator='arithmetic',
-                k2="1", k3="1")
-            writer.end('filter')
-
-        avg_color = np.sum(colors[:, :], axis=0) / 3.0
-        # Just skip fully-transparent triangles
-        if avg_color[-1] == 0.0:
+        avg_color = np.average(colors, axis=0)
+        if avg_color[-1] == 0:
+            # Skip fully-transparent triangles
             return
 
-        trans_and_flip = self._make_flip_transform(trans)
-        tpoints = trans_and_flip.transform(points)
-
+        writer = self.writer
         writer.start('defs')
         for i in range(3):
-            x1, y1 = tpoints[i]
-            x2, y2 = tpoints[(i + 1) % 3]
-            x3, y3 = tpoints[(i + 2) % 3]
-            c = colors[i][:]
+            x1, y1 = transformed_points[i]
+            x2, y2 = transformed_points[(i + 1) % 3]
+            x3, y3 = transformed_points[(i + 2) % 3]
+            rgba_color = colors[i]
 
             if x2 == x3:
                 xb = x2
@@ -718,175 +834,216 @@ def draw_gouraud_triangle(self, gc, points, colors, trans):
 
             writer.start(
                 'linearGradient',
-                id="GR%x_%d" % (self._n_gradients, i),
-                x1=six.text_type(x1), y1=six.text_type(y1),
-                x2=six.text_type(xb), y2=six.text_type(yb))
+                id=f"GR{self._n_gradients:x}_{i:d}",
+                gradientUnits="userSpaceOnUse",
+                x1=_short_float_fmt(x1), y1=_short_float_fmt(y1),
+                x2=_short_float_fmt(xb), y2=_short_float_fmt(yb))
             writer.element(
                 'stop',
-                offset='0',
-                style=generate_css({'stop-color': rgb2hex(c),
-                                    'stop-opacity': six.text_type(c[-1])}))
+                offset='1',
+                style=_generate_css({
+                    'stop-color': rgb2hex(avg_color),
+                    'stop-opacity': _short_float_fmt(rgba_color[-1])}))
             writer.element(
                 'stop',
-                offset='1',
-                style=generate_css({'stop-color': rgb2hex(c),
+                offset='0',
+                style=_generate_css({'stop-color': rgb2hex(rgba_color),
                                     'stop-opacity': "0"}))
+
             writer.end('linearGradient')
 
-        writer.element(
-            'polygon',
-            id='GT%x' % self._n_gradients,
-            points=" ".join([six.text_type(x)
-                             for x in (x1, y1, x2, y2, x3, y3)]))
         writer.end('defs')
 
-        avg_color = np.sum(colors[:, :], axis=0) / 3.0
-        href = '#GT%x' % self._n_gradients
+        # triangle formation using "path"
+        dpath = (f"M {_short_float_fmt(x1)},{_short_float_fmt(y1)}"
+                 f" L {_short_float_fmt(x2)},{_short_float_fmt(y2)}"
+                 f" {_short_float_fmt(x3)},{_short_float_fmt(y3)} Z")
+
         writer.element(
-            'use',
-            attrib={'xlink:href': href,
+            'path',
+            attrib={'d': dpath,
                     'fill': rgb2hex(avg_color),
-                    'fill-opacity': str(avg_color[-1])})
-        for i in range(3):
-            writer.element(
-                'use',
-                attrib={'xlink:href': href,
-                        'fill': 'url(#GR%x_%d)' % (self._n_gradients, i),
-                        'fill-opacity': '1',
-                        'filter': 'url(#colorAdd)'})
+                    'fill-opacity': '1',
+                    'shape-rendering': "crispEdges"})
+
+        writer.start(
+                'g',
+                attrib={'stroke': "none",
+                        'stroke-width': "0",
+                        'shape-rendering': "crispEdges",
+                        'filter': "url(#colorMat)"})
+
+        writer.element(
+            'path',
+            attrib={'d': dpath,
+                    'fill': f'url(#GR{self._n_gradients:x}_0)',
+                    'shape-rendering': "crispEdges"})
+
+        writer.element(
+            'path',
+            attrib={'d': dpath,
+                    'fill': f'url(#GR{self._n_gradients:x}_1)',
+                    'filter': 'url(#colorAdd)',
+                    'shape-rendering': "crispEdges"})
+
+        writer.element(
+            'path',
+            attrib={'d': dpath,
+                    'fill': f'url(#GR{self._n_gradients:x}_2)',
+                    'filter': 'url(#colorAdd)',
+                    'shape-rendering': "crispEdges"})
+
+        writer.end('g')
 
         self._n_gradients += 1
 
     def draw_gouraud_triangles(self, gc, triangles_array, colors_array,
                                transform):
-        attrib = {}
-        clipid = self._get_clip(gc)
-        if clipid is not None:
-            attrib['clip-path'] = 'url(#%s)' % clipid
-
-        self.writer.start('g', attrib=attrib)
-
+        writer = self.writer
+        writer.start('g', **self._get_clip_attrs(gc))
         transform = transform.frozen()
-        for tri, col in zip(triangles_array, colors_array):
-            self.draw_gouraud_triangle(gc, tri, col, transform)
+        trans_and_flip = self._make_flip_transform(transform)
 
-        self.writer.end('g')
+        if not self._has_gouraud:
+            self._has_gouraud = True
+            writer.start(
+                'filter',
+                id='colorAdd')
+            writer.element(
+                'feComposite',
+                attrib={'in': 'SourceGraphic'},
+                in2='BackgroundImage',
+                operator='arithmetic',
+                k2="1", k3="1")
+            writer.end('filter')
+            # feColorMatrix filter to correct opacity
+            writer.start(
+                'filter',
+                id='colorMat')
+            writer.element(
+                'feColorMatrix',
+                attrib={'type': 'matrix'},
+                values='1 0 0 0 0 \n0 1 0 0 0 \n0 0 1 0 0 \n1 1 1 1 0 \n0 0 0 0 1 ')
+            writer.end('filter')
+
+        for points, colors in zip(triangles_array, colors_array):
+            self._draw_gouraud_triangle(trans_and_flip.transform(points), colors)
+        writer.end('g')
 
     def option_scale_image(self):
+        # docstring inherited
         return True
 
     def get_image_magnification(self):
         return self.image_dpi / 72.0
 
-    def draw_image(self, gc, x, y, im, dx=None, dy=None, transform=None):
-        attrib = {}
-        clipid = self._get_clip(gc)
-        if clipid is not None:
-            # Can't apply clip-path directly to the image because the
-            # image has a transformation, which would also be applied
-            # to the clip-path
-            self.writer.start('g', attrib={'clip-path': 'url(#%s)' % clipid})
-
-        trans = [1,0,0,1,0,0]
-        if rcParams['svg.image_noscale']:
-            trans = list(im.get_matrix())
-            trans[5] = -trans[5]
-            attrib['transform'] = generate_transform([('matrix', tuple(trans))])
-            assert trans[1] == 0
-            assert trans[2] == 0
-            numrows, numcols = im.get_size()
-            im.reset_matrix()
-            im.set_interpolation(0)
-            im.resize(numcols, numrows)
-
-        h,w = im.get_size_out()
-
-        if dx is None:
-            w = 72.0*w/self.image_dpi
-        else:
-            w = dx
+    def draw_image(self, gc, x, y, im, transform=None):
+        # docstring inherited
 
-        if dy is None:
-            h = 72.0*h/self.image_dpi
-        else:
-            h = dy
+        h, w = im.shape[:2]
+
+        if w == 0 or h == 0:
+            return
 
-        oid = getattr(im, '_gid', None)
-        url = getattr(im, '_url', None)
+        clip_attrs = self._get_clip_attrs(gc)
+        if clip_attrs:
+            # Can't apply clip-path directly to the image because the image has
+            # a transformation, which would also be applied to the clip-path.
+            self.writer.start('g', **clip_attrs)
+
+        url = gc.get_url()
         if url is not None:
             self.writer.start('a', attrib={'xlink:href': url})
-        if rcParams['svg.image_inline']:
-            bytesio = io.BytesIO()
-            _png.write_png(np.array(im)[::-1], bytesio)
-            oid = oid or self._make_id('image', bytesio)
+
+        attrib = {}
+        oid = gc.get_gid()
+        if mpl.rcParams['svg.image_inline']:
+            buf = BytesIO()
+            Image.fromarray(im).save(buf, format="png")
+            oid = oid or self._make_id('image', buf.getvalue())
             attrib['xlink:href'] = (
                 "data:image/png;base64,\n" +
-                base64.b64encode(bytesio.getvalue()).decode('ascii'))
+                base64.b64encode(buf.getvalue()).decode('ascii'))
         else:
-            self._imaged[self.basename] = self._imaged.get(self.basename,0) + 1
-            filename = '%s.image%d.png'%(self.basename, self._imaged[self.basename])
-            verbose.report( 'Writing image file for inclusion: %s' % filename)
-            _png.write_png(np.array(im)[::-1], filename)
+            if self.basename is None:
+                raise ValueError("Cannot save image data to filesystem when "
+                                 "writing SVG to an in-memory buffer")
+            filename = f'{self.basename}.image{next(self._image_counter)}.png'
+            _log.info('Writing image file for inclusion: %s', filename)
+            Image.fromarray(im).save(filename)
             oid = oid or 'Im_' + self._make_id('image', filename)
             attrib['xlink:href'] = filename
-
-        alpha = gc.get_alpha()
-        if alpha != 1.0:
-            attrib['opacity'] = str(alpha)
-
         attrib['id'] = oid
 
         if transform is None:
+            w = 72.0 * w / self.image_dpi
+            h = 72.0 * h / self.image_dpi
+
             self.writer.element(
                 'image',
-                x=six.text_type(x/trans[0]),
-                y=six.text_type((self.height-y)/trans[3]-h),
-                width=six.text_type(w), height=six.text_type(h),
+                transform=_generate_transform([
+                    ('scale', (1, -1)), ('translate', (0, -h))]),
+                x=_short_float_fmt(x),
+                y=_short_float_fmt(-(self.height - y - h)),
+                width=_short_float_fmt(w), height=_short_float_fmt(h),
                 attrib=attrib)
         else:
-            flipped = self._make_flip_transform(transform)
-            flipped = np.array(flipped.to_values())
-            y = y+dy
-            if dy > 0.0:
-                flipped[3] *= -1.0
-                y *= -1.0
-            attrib['transform'] = generate_transform(
-                [('matrix', flipped)])
+            alpha = gc.get_alpha()
+            if alpha != 1.0:
+                attrib['opacity'] = _short_float_fmt(alpha)
+
+            flipped = (
+                Affine2D().scale(1.0 / w, 1.0 / h) +
+                transform +
+                Affine2D()
+                .translate(x, y)
+                .scale(1.0, -1.0)
+                .translate(0.0, self.height))
+
+            attrib['transform'] = _generate_transform(
+                [('matrix', flipped.frozen())])
+            attrib['style'] = (
+                'image-rendering:crisp-edges;'
+                'image-rendering:pixelated')
             self.writer.element(
                 'image',
-                x=six.text_type(x), y=six.text_type(y),
-                width=six.text_type(dx), height=six.text_type(abs(dy)),
+                width=_short_float_fmt(w), height=_short_float_fmt(h),
                 attrib=attrib)
 
         if url is not None:
             self.writer.end('a')
-        if clipid is not None:
+        if clip_attrs:
             self.writer.end('g')
 
+    def _update_glyph_map_defs(self, glyph_map_new):
+        """
+        Emit definitions for not-yet-defined glyphs, and record them as having
+        been defined.
+        """
+        writer = self.writer
+        if glyph_map_new:
+            writer.start('defs')
+            for char_id, (vertices, codes) in glyph_map_new.items():
+                char_id = self._adjust_char_id(char_id)
+                # x64 to go back to FreeType's internal (integral) units.
+                path_data = self._convert_path(
+                    Path(vertices * 64, codes), simplify=False)
+                writer.element(
+                    'path', id=char_id, d=path_data,
+                    transform=_generate_transform([('scale', (1 / 64,))]))
+            writer.end('defs')
+            self._glyph_map.update(glyph_map_new)
+
     def _adjust_char_id(self, char_id):
         return char_id.replace("%20", "_")
 
     def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath, mtext=None):
-        """
-        draw the text by converting them to paths using textpath module.
-
-        *prop*
-          font property
-
-        *s*
-          text to be converted
-
-        *usetex*
-          If True, use matplotlib usetex mode.
-
-        *ismath*
-          If True, use mathtext parser. If "TeX", use *usetex* mode.
-        """
+        # docstring inherited
         writer = self.writer
 
         writer.comment(s)
 
-        glyph_map=self._glyph_map
+        glyph_map = self._glyph_map
 
         text2path = self._text2path
         color = rgb2hex(gc.get_rgb())
@@ -895,125 +1052,122 @@ def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath, mtext=None):
         style = {}
         if color != '#000000':
             style['fill'] = color
-        if gc.get_alpha() != 1.0:
-            style['opacity'] = six.text_type(gc.get_alpha())
+        alpha = gc.get_alpha() if gc.get_forced_alpha() else gc.get_rgb()[3]
+        if alpha != 1:
+            style['opacity'] = _short_float_fmt(alpha)
+        font_scale = fontsize / text2path.FONT_SCALE
+        attrib = {
+            'style': _generate_css(style),
+            'transform': _generate_transform([
+                ('translate', (x, y)),
+                ('rotate', (-angle,)),
+                ('scale', (font_scale, -font_scale))]),
+        }
+        writer.start('g', attrib=attrib)
 
         if not ismath:
             font = text2path._get_font(prop)
             _glyphs = text2path.get_glyphs_with_font(
                 font, s, glyph_map=glyph_map, return_new_glyphs_only=True)
             glyph_info, glyph_map_new, rects = _glyphs
+            self._update_glyph_map_defs(glyph_map_new)
 
-            if glyph_map_new:
-                writer.start('defs')
-                for char_id, glyph_path in six.iteritems(glyph_map_new):
-                    path = Path(*glyph_path)
-                    path_data = self._convert_path(path, simplify=False)
-                    writer.element('path', id=char_id, d=path_data)
-                writer.end('defs')
-
-                glyph_map.update(glyph_map_new)
-
-            attrib = {}
-            attrib['style'] = generate_css(style)
-            font_scale = fontsize / text2path.FONT_SCALE
-            attrib['transform'] = generate_transform([
-                ('translate', (x, y)),
-                ('rotate', (-angle,)),
-                ('scale', (font_scale, -font_scale))])
-
-            writer.start('g', attrib=attrib)
             for glyph_id, xposition, yposition, scale in glyph_info:
-                attrib={'xlink:href': '#%s' % glyph_id}
-                if xposition != 0.0:
-                    attrib['x'] = six.text_type(xposition)
-                if yposition != 0.0:
-                    attrib['y'] = six.text_type(yposition)
                 writer.element(
                     'use',
-                    attrib=attrib)
+                    transform=_generate_transform([
+                        ('translate', (xposition, yposition)),
+                        ('scale', (scale,)),
+                        ]),
+                    attrib={'xlink:href': f'#{glyph_id}'})
 
-            writer.end('g')
         else:
             if ismath == "TeX":
-                _glyphs = text2path.get_glyphs_tex(prop, s, glyph_map=glyph_map,
-                                                   return_new_glyphs_only=True)
+                _glyphs = text2path.get_glyphs_tex(
+                    prop, s, glyph_map=glyph_map, return_new_glyphs_only=True)
             else:
-                _glyphs = text2path.get_glyphs_mathtext(prop, s, glyph_map=glyph_map,
-                                                        return_new_glyphs_only=True)
-
+                _glyphs = text2path.get_glyphs_mathtext(
+                    prop, s, glyph_map=glyph_map, return_new_glyphs_only=True)
             glyph_info, glyph_map_new, rects = _glyphs
+            self._update_glyph_map_defs(glyph_map_new)
 
-            # we store the character glyphs w/o flipping. Instead, the
-            # coordinate will be flipped when this characters are
-            # used.
-            if glyph_map_new:
-                writer.start('defs')
-                for char_id, glyph_path in six.iteritems(glyph_map_new):
-                    char_id = self._adjust_char_id(char_id)
-                    # Some characters are blank
-                    if not len(glyph_path[0]):
-                        path_data = ""
-                    else:
-                        path = Path(*glyph_path)
-                        path_data = self._convert_path(path, simplify=False)
-                    writer.element('path', id=char_id, d=path_data)
-                writer.end('defs')
-
-                glyph_map.update(glyph_map_new)
-
-            attrib = {}
-            font_scale = fontsize / text2path.FONT_SCALE
-            attrib['style'] = generate_css(style)
-            attrib['transform'] = generate_transform([
-                ('translate', (x, y)),
-                ('rotate', (-angle,)),
-                ('scale', (font_scale, -font_scale))])
-
-            writer.start('g', attrib=attrib)
             for char_id, xposition, yposition, scale in glyph_info:
                 char_id = self._adjust_char_id(char_id)
-
                 writer.element(
                     'use',
-                    transform=generate_transform([
+                    transform=_generate_transform([
                         ('translate', (xposition, yposition)),
                         ('scale', (scale,)),
                         ]),
-                    attrib={'xlink:href': '#%s' % char_id})
+                    attrib={'xlink:href': f'#{char_id}'})
 
             for verts, codes in rects:
                 path = Path(verts, codes)
                 path_data = self._convert_path(path, simplify=False)
                 writer.element('path', d=path_data)
 
-            writer.end('g')
+        writer.end('g')
 
     def _draw_text_as_text(self, gc, x, y, s, prop, angle, ismath, mtext=None):
+        # NOTE: If you change the font styling CSS, then be sure the check for
+        # svg.fonttype = none in `lib/matplotlib/testing/compare.py::convert` remains in
+        # sync. Also be sure to re-generate any SVG using this mode, or else such tests
+        # will fail to use the right converter for the expected images, and they will
+        # fail strangely.
         writer = self.writer
 
         color = rgb2hex(gc.get_rgb())
-        style = {}
+        font_style = {}
+        color_style = {}
         if color != '#000000':
-            style['fill'] = color
-        if gc.get_alpha() != 1.0:
-            style['opacity'] = six.text_type(gc.get_alpha())
+            color_style['fill'] = color
 
-        if not ismath:
-            font = self._get_font(prop)
-            font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
+        alpha = gc.get_alpha() if gc.get_forced_alpha() else gc.get_rgb()[3]
+        if alpha != 1:
+            color_style['opacity'] = _short_float_fmt(alpha)
 
-            fontsize = prop.get_size_in_points()
+        if not ismath:
+            attrib = {}
 
-            fontfamily = font.family_name
-            fontstyle = prop.get_style()
+            # Separate font style in their separate attributes
+            if prop.get_style() != 'normal':
+                font_style['font-style'] = prop.get_style()
+            if prop.get_variant() != 'normal':
+                font_style['font-variant'] = prop.get_variant()
+            weight = fm.weight_dict[prop.get_weight()]
+            if weight != 400:
+                font_style['font-weight'] = f'{weight}'
+
+            def _normalize_sans(name):
+                return 'sans-serif' if name in ['sans', 'sans serif'] else name
+
+            def _expand_family_entry(fn):
+                fn = _normalize_sans(fn)
+                # prepend generic font families with all configured font names
+                if fn in fm.font_family_aliases:
+                    # get all of the font names and fix spelling of sans-serif
+                    # (we accept 3 ways CSS only supports 1)
+                    for name in fm.FontManager._expand_aliases(fn):
+                        yield _normalize_sans(name)
+                # whether a generic name or a family name, it must appear at
+                # least once
+                yield fn
+
+            def _get_all_quoted_names(prop):
+                # only quote specific names, not generic names
+                return [name if name in fm.font_family_aliases else repr(name)
+                        for entry in prop.get_family()
+                        for name in _expand_family_entry(entry)]
+
+            font_style['font-size'] = f'{_short_float_fmt(prop.get_size())}px'
+            # ensure expansion, quoting, and dedupe of font names
+            font_style['font-family'] = ", ".join(
+                dict.fromkeys(_get_all_quoted_names(prop))
+                )
 
-            attrib = {}
-            # Must add "px" to workaround a Firefox bug
-            style['font-size'] = six.text_type(fontsize) + 'px'
-            style['font-family'] = six.text_type(fontfamily)
-            style['font-style'] = prop.get_style().lower()
-            attrib['style'] = generate_css(style)
+            if prop.get_stretch() != 'normal':
+                font_style['font-stretch'] = prop.get_stretch()
+            attrib['style'] = _generate_css({**font_style, **color_style})
 
             if mtext and (angle == 0 or mtext.get_rotation_mode() == "anchor"):
                 # If text anchoring can be supported, get the original
@@ -1021,13 +1175,13 @@ def _draw_text_as_text(self, gc, x, y, s, prop, angle, ismath, mtext=None):
 
                 # Get anchor coordinates.
                 transform = mtext.get_transform()
-                ax, ay = transform.transform_point(mtext.get_position())
+                ax, ay = transform.transform(mtext.get_unitless_position())
                 ay = self.height - ay
 
                 # Don't do vertical anchor alignment. Most applications do not
                 # support 'alignment-baseline' yet. Apply the vertical layout
                 # to the anchor point manually for now.
-                angle_rad = angle * np.pi / 180.
+                angle_rad = np.deg2rad(angle)
                 dir_vert = np.array([np.sin(angle_rad), np.cos(angle_rad)])
                 v_offset = np.dot(dir_vert, [(x - ax), (y - ay)])
                 ax = ax + v_offset * dir_vert[0]
@@ -1035,115 +1189,95 @@ def _draw_text_as_text(self, gc, x, y, s, prop, angle, ismath, mtext=None):
 
                 ha_mpl_to_svg = {'left': 'start', 'right': 'end',
                                  'center': 'middle'}
-                style['text-anchor'] = ha_mpl_to_svg[mtext.get_ha()]
+                font_style['text-anchor'] = ha_mpl_to_svg[mtext.get_ha()]
+
+                attrib['x'] = _short_float_fmt(ax)
+                attrib['y'] = _short_float_fmt(ay)
+                attrib['style'] = _generate_css({**font_style, **color_style})
+                attrib['transform'] = _generate_transform([
+                    ("rotate", (-angle, ax, ay))])
 
-                attrib['x'] = str(ax)
-                attrib['y'] = str(ay)
-                attrib['style'] = generate_css(style)
-                attrib['transform'] = "rotate(%f, %f, %f)" % (-angle, ax, ay)
-                writer.element('text', s, attrib=attrib)
             else:
-                attrib['transform'] = generate_transform([
+                attrib['transform'] = _generate_transform([
                     ('translate', (x, y)),
                     ('rotate', (-angle,))])
 
-                writer.element('text', s, attrib=attrib)
+            writer.element('text', s, attrib=attrib)
 
-            if rcParams['svg.fonttype'] == 'svgfont':
-                fontset = self._fonts.setdefault(font.fname, set())
-                for c in s:
-                    fontset.add(ord(c))
         else:
             writer.comment(s)
 
-            width, height, descent, svg_elements, used_characters = \
-                   self.mathtext_parser.parse(s, 72, prop)
-            svg_glyphs = svg_elements.svg_glyphs
-            svg_rects = svg_elements.svg_rects
+            width, height, descent, glyphs, rects = \
+                self._text2path.mathtext_parser.parse(s, 72, prop)
 
-            attrib = {}
-            attrib['style'] = generate_css(style)
-            attrib['transform'] = generate_transform([
-                ('translate', (x, y)),
-                ('rotate', (-angle,))])
-
-            # Apply attributes to 'g', not 'text', because we likely
-            # have some rectangles as well with the same style and
-            # transformation
-            writer.start('g', attrib=attrib)
+            # Apply attributes to 'g', not 'text', because we likely have some
+            # rectangles as well with the same style and transformation.
+            writer.start('g',
+                         style=_generate_css({**font_style, **color_style}),
+                         transform=_generate_transform([
+                             ('translate', (x, y)),
+                             ('rotate', (-angle,))]),
+                         )
 
             writer.start('text')
 
-            # Sort the characters by font, and output one tspan for
-            # each
+            # Sort the characters by font, and output one tspan for each.
             spans = {}
-            for font, fontsize, thetext, new_x, new_y, metrics in svg_glyphs:
-                style = generate_css({
-                    'font-size': six.text_type(fontsize) + 'px',
-                    'font-family': font.family_name,
-                    'font-style': font.style_name.lower()})
+            for font, fontsize, thetext, new_x, new_y in glyphs:
+                entry = fm.ttfFontProperty(font)
+                font_style = {}
+                # Separate font style in its separate attributes
+                if entry.style != 'normal':
+                    font_style['font-style'] = entry.style
+                if entry.variant != 'normal':
+                    font_style['font-variant'] = entry.variant
+                if entry.weight != 400:
+                    font_style['font-weight'] = f'{entry.weight}'
+                font_style['font-size'] = f'{_short_float_fmt(fontsize)}px'
+                font_style['font-family'] = f'{entry.name!r}'  # ensure quoting
+                if entry.stretch != 'normal':
+                    font_style['font-stretch'] = entry.stretch
+                style = _generate_css({**font_style, **color_style})
                 if thetext == 32:
-                    thetext = 0xa0 # non-breaking space
+                    thetext = 0xa0  # non-breaking space
                 spans.setdefault(style, []).append((new_x, -new_y, thetext))
 
-            if rcParams['svg.fonttype'] == 'svgfont':
-                for font, fontsize, thetext, new_x, new_y, metrics in svg_glyphs:
-                    fontset = self._fonts.setdefault(font.fname, set())
-                    fontset.add(thetext)
-
-            for style, chars in list(six.iteritems(spans)):
-                chars.sort()
-
-                same_y = True
-                if len(chars) > 1:
-                    last_y = chars[0][1]
-                    for i in xrange(1, len(chars)):
-                        if chars[i][1] != last_y:
-                            same_y = False
-                            break
-                if same_y:
-                    ys = six.text_type(chars[0][1])
-                else:
-                    ys = ' '.join(six.text_type(c[1]) for c in chars)
-
-                attrib = {
-                    'style': style,
-                    'x': ' '.join(six.text_type(c[0]) for c in chars),
-                    'y': ys
-                    }
-
-                writer.element(
-                    'tspan',
-                    ''.join(unichr(c[2]) for c in chars),
-                    attrib=attrib)
+            for style, chars in spans.items():
+                chars.sort()  # Sort by increasing x position
+                for x, y, t in chars:  # Output one tspan for each character
+                    writer.element(
+                        'tspan',
+                        chr(t),
+                        x=_short_float_fmt(x),
+                        y=_short_float_fmt(y),
+                        style=style)
 
             writer.end('text')
 
-            if len(svg_rects):
-                for x, y, width, height in svg_rects:
-                    writer.element(
-                        'rect',
-                        x=six.text_type(x), y=six.text_type(-y + height),
-                        width=six.text_type(width), height=six.text_type(height)
-                        )
+            for x, y, width, height in rects:
+                writer.element(
+                    'rect',
+                    x=_short_float_fmt(x),
+                    y=_short_float_fmt(-y-1),
+                    width=_short_float_fmt(width),
+                    height=_short_float_fmt(height)
+                    )
 
             writer.end('g')
 
-    def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
-        self._draw_text_as_path(gc, x, y, s, prop, angle, ismath="TeX")
-
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        clipid = self._get_clip(gc)
-        if clipid is not None:
+        # docstring inherited
+
+        clip_attrs = self._get_clip_attrs(gc)
+        if clip_attrs:
             # Cannot apply clip-path directly to the text, because
-            # is has a transformation
-            self.writer.start(
-                'g', attrib={'clip-path': 'url(#%s)' % clipid})
+            # it has a transformation
+            self.writer.start('g', **clip_attrs)
 
         if gc.get_url() is not None:
             self.writer.start('a', {'xlink:href': gc.get_url()})
 
-        if rcParams['svg.fonttype'] == 'path':
+        if mpl.rcParams['svg.fonttype'] == 'path':
             self._draw_text_as_path(gc, x, y, s, prop, angle, ismath, mtext)
         else:
             self._draw_text_as_text(gc, x, y, s, prop, angle, ismath, mtext)
@@ -1151,16 +1285,19 @@ def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
         if gc.get_url() is not None:
             self.writer.end('a')
 
-        if clipid is not None:
+        if clip_attrs:
             self.writer.end('g')
 
     def flipy(self):
+        # docstring inherited
         return True
 
     def get_canvas_width_height(self):
+        # docstring inherited
         return self.width, self.height
 
     def get_text_width_height_descent(self, s, prop, ismath):
+        # docstring inherited
         return self._text2path.get_text_width_height_descent(s, prop, ismath)
 
 
@@ -1170,83 +1307,76 @@ class FigureCanvasSVG(FigureCanvasBase):
 
     fixed_dpi = 72
 
-    def print_svg(self, filename, *args, **kwargs):
-        if is_string_like(filename):
-            fh_to_close = svgwriter = io.open(filename, 'w', encoding='utf-8')
-        elif is_writable_file_like(filename):
-            if not isinstance(filename, io.TextIOBase):
-                if six.PY3:
-                    svgwriter = io.TextIOWrapper(filename, 'utf-8')
-                else:
-                    svgwriter = codecs.getwriter('utf-8')(filename)
-            else:
-                svgwriter = filename
-            fh_to_close = None
-        else:
-            raise ValueError("filename must be a path or a file-like object")
-        return self._print_svg(filename, svgwriter, fh_to_close, **kwargs)
-
-    def print_svgz(self, filename, *args, **kwargs):
-        if is_string_like(filename):
-            fh_to_close = gzipwriter = gzip.GzipFile(filename, 'w')
-            svgwriter = io.TextIOWrapper(gzipwriter, 'utf-8')
-        elif is_writable_file_like(filename):
-            fh_to_close = gzipwriter = gzip.GzipFile(fileobj=filename, mode='w')
-            svgwriter = io.TextIOWrapper(gzipwriter, 'utf-8')
-        else:
-            raise ValueError("filename must be a path or a file-like object")
-        return self._print_svg(filename, svgwriter, fh_to_close)
+    def print_svg(self, filename, *, bbox_inches_restore=None, metadata=None):
+        """
+        Parameters
+        ----------
+        filename : str or path-like or file-like
+            Output target; if a string, a file will be opened for writing.
 
-    def _print_svg(self, filename, svgwriter, fh_to_close=None, **kwargs):
-        try:
-            image_dpi = kwargs.pop("dpi", 72)
-            self.figure.set_dpi(72.0)
-            width, height = self.figure.get_size_inches()
-            w, h = width*72, height*72
+        metadata : dict[str, Any], optional
+            Metadata in the SVG file defined as key-value pairs of strings,
+            datetimes, or lists of strings, e.g., ``{'Creator': 'My software',
+            'Contributor': ['Me', 'My Friend'], 'Title': 'Awesome'}``.
 
-            if rcParams['svg.image_noscale']:
-                renderer = RendererSVG(w, h, svgwriter, filename, image_dpi)
-            else:
-                _bbox_inches_restore = kwargs.pop("bbox_inches_restore", None)
-                renderer = MixedModeRenderer(self.figure,
-                    width, height, image_dpi, RendererSVG(w, h, svgwriter, filename, image_dpi),
-                    bbox_inches_restore=_bbox_inches_restore)
+            The standard keys and their value types are:
+
+            * *str*: ``'Coverage'``, ``'Description'``, ``'Format'``,
+              ``'Identifier'``, ``'Language'``, ``'Relation'``, ``'Source'``,
+              ``'Title'``, and ``'Type'``.
+            * *str* or *list of str*: ``'Contributor'``, ``'Creator'``,
+              ``'Keywords'``, ``'Publisher'``, and ``'Rights'``.
+            * *str*, *date*, *datetime*, or *tuple* of same: ``'Date'``. If a
+              non-*str*, then it will be formatted as ISO 8601.
+
+            Values have been predefined for ``'Creator'``, ``'Date'``,
+            ``'Format'``, and ``'Type'``. They can be removed by setting them
+            to `None`.
+
+            Information is encoded as `Dublin Core Metadata`__.
 
+            .. _DC: https://www.dublincore.org/specifications/dublin-core/
+
+            __ DC_
+        """
+        with cbook.open_file_cm(filename, "w", encoding="utf-8") as fh:
+            if not cbook.file_requires_unicode(fh):
+                fh = codecs.getwriter('utf-8')(fh)
+            dpi = self.figure.dpi
+            self.figure.dpi = 72
+            width, height = self.figure.get_size_inches()
+            w, h = width * 72, height * 72
+            renderer = MixedModeRenderer(
+                self.figure, width, height, dpi,
+                RendererSVG(w, h, fh, image_dpi=dpi, metadata=metadata),
+                bbox_inches_restore=bbox_inches_restore)
             self.figure.draw(renderer)
             renderer.finalize()
-        finally:
-            if fh_to_close is not None:
-                svgwriter.close()
+
+    def print_svgz(self, filename, **kwargs):
+        with (cbook.open_file_cm(filename, "wb") as fh,
+              gzip.GzipFile(mode='w', fileobj=fh) as gzipwriter):
+            return self.print_svg(gzipwriter, **kwargs)
 
     def get_default_filetype(self):
         return 'svg'
 
-class FigureManagerSVG(FigureManagerBase):
-    pass
+    def draw(self):
+        self.figure.draw_without_rendering()
+        return super().draw()
 
 
-def new_figure_manager(num, *args, **kwargs):
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas  = FigureCanvasSVG(figure)
-    manager = FigureManagerSVG(canvas, num)
-    return manager
+FigureManagerSVG = FigureManagerBase
 
 
 svgProlog = """\
 <?xml version="1.0" encoding="utf-8" standalone="no"?>
 <!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
   "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<!-- Created with matplotlib (http://matplotlib.org/) -->
 """
 
 
-FigureCanvas = FigureCanvasSVG
-FigureManager = FigureManagerSVG
+@_Backend.export
+class _BackendSVG(_Backend):
+    backend_version = mpl.__version__
+    FigureCanvas = FigureCanvasSVG
diff --git a/lib/matplotlib/backends/backend_template.py b/lib/matplotlib/backends/backend_template.py
index f3e483d2f73b..83aa6bb567c1 100644
--- a/lib/matplotlib/backends/backend_template.py
+++ b/lib/matplotlib/backends/backend_template.py
@@ -1,78 +1,39 @@
 """
-This is a fully functional do nothing backend to provide a template to
-backend writers.  It is fully functional in that you can select it as
-a backend with
-
-  import matplotlib
-  matplotlib.use('Template')
-
-and your matplotlib scripts will (should!) run without error, though
-no output is produced.  This provides a nice starting point for
-backend writers because you can selectively implement methods
-(draw_rectangle, draw_lines, etc...) and slowly see your figure come
-to life w/o having to have a full blown implementation before getting
-any results.
-
-Copy this to backend_xxx.py and replace all instances of 'template'
-with 'xxx'.  Then implement the class methods and functions below, and
-add 'xxx' to the switchyard in matplotlib/backends/__init__.py and
-'xxx' to the backends list in the validate_backend methon in
-matplotlib/__init__.py and you're off.  You can use your backend with::
-
-  import matplotlib
-  matplotlib.use('xxx')
-  from pylab import *
-  plot([1,2,3])
-  show()
-
-matplotlib also supports external backends, so you can place you can
-use any module in your PYTHONPATH with the syntax::
-
-  import matplotlib
-  matplotlib.use('module://my_backend')
-
-where my_backend.py is your module name.  This syntax is also
-recognized in the rc file and in the -d argument in pylab, e.g.,::
-
-  python simple_plot.py -dmodule://my_backend
-
-If your backend implements support for saving figures (i.e. has a print_xyz()
-method) you can register it as the default handler for a given file type
-
-  from matplotlib.backend_bases import register_backend
-  register_backend('xyz', 'my_backend', 'XYZ File Format')
-  ...
-  plt.savefig("figure.xyz")
-
-The files that are most relevant to backend_writers are
-
-  matplotlib/backends/backend_your_backend.py
-  matplotlib/backend_bases.py
-  matplotlib/backends/__init__.py
-  matplotlib/__init__.py
-  matplotlib/_pylab_helpers.py
-
-Naming Conventions
-
-  * classes Upper or MixedUpperCase
-
-  * varables lower or lowerUpper
-
-  * functions lower or underscore_separated
-
+A fully functional, do-nothing backend intended as a template for backend
+writers.  It is fully functional in that you can select it as a backend e.g.
+with ::
+
+    import matplotlib
+    matplotlib.use("template")
+
+and your program will (should!) run without error, though no output is
+produced.  This provides a starting point for backend writers; you can
+selectively implement drawing methods (`~.RendererTemplate.draw_path`,
+`~.RendererTemplate.draw_image`, etc.) and slowly see your figure come to life
+instead having to have a full-blown implementation before getting any results.
+
+Copy this file to a directory outside the Matplotlib source tree, somewhere
+where Python can import it (by adding the directory to your ``sys.path`` or by
+packaging it as a normal Python package); if the backend is importable as
+``import my.backend`` you can then select it using ::
+
+    import matplotlib
+    matplotlib.use("module://my.backend")
+
+If your backend implements support for saving figures (i.e. has a ``print_xyz`` method),
+you can register it as the default handler for a given file type::
+
+    from matplotlib.backend_bases import register_backend
+    register_backend('xyz', 'my_backend', 'XYZ File Format')
+    ...
+    plt.savefig("figure.xyz")
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib
+from matplotlib import _api
 from matplotlib._pylab_helpers import Gcf
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureManagerBase, FigureCanvasBase
+from matplotlib.backend_bases import (
+     FigureCanvasBase, FigureManagerBase, GraphicsContextBase, RendererBase)
 from matplotlib.figure import Figure
-from matplotlib.transforms import Bbox
 
 
 class RendererTemplate(RendererBase):
@@ -80,10 +41,12 @@ class RendererTemplate(RendererBase):
     The renderer handles drawing/rendering operations.
 
     This is a minimal do-nothing class that can be used to get started when
-    writing a new backend. Refer to backend_bases.RendererBase for
-    documentation of the classes methods.
+    writing a new backend.  Refer to `.backend_bases.RendererBase` for
+    documentation of the methods.
     """
+
     def __init__(self, dpi):
+        super().__init__()
         self.dpi = dpi
 
     def draw_path(self, gc, path, transform, rgbFace=None):
@@ -92,15 +55,16 @@ def draw_path(self, gc, path, transform, rgbFace=None):
     # draw_markers is optional, and we get more correct relative
     # timings by leaving it out.  backend implementers concerned with
     # performance will probably want to implement it
-#     def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
+#     def draw_markers(self, gc, marker_path, marker_trans, path, trans,
+#                      rgbFace=None):
 #         pass
 
     # draw_path_collection is optional, and we get more correct
     # relative timings by leaving it out. backend implementers concerned with
     # performance will probably want to implement it
 #     def draw_path_collection(self, gc, master_transform, paths,
-#                              all_transforms, offsets, offsetTrans, facecolors,
-#                              edgecolors, linewidths, linestyles,
+#                              all_transforms, offsets, offset_trans,
+#                              facecolors, edgecolors, linewidths, linestyles,
 #                              antialiaseds):
 #         pass
 
@@ -119,120 +83,99 @@ def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
         pass
 
     def flipy(self):
+        # docstring inherited
         return True
 
     def get_canvas_width_height(self):
+        # docstring inherited
         return 100, 100
 
     def get_text_width_height_descent(self, s, prop, ismath):
         return 1, 1, 1
 
     def new_gc(self):
+        # docstring inherited
         return GraphicsContextTemplate()
 
     def points_to_pixels(self, points):
         # if backend doesn't have dpi, e.g., postscript or svg
         return points
         # elif backend assumes a value for pixels_per_inch
-        #return points/72.0 * self.dpi.get() * pixels_per_inch/72.0
+        # return points/72.0 * self.dpi.get() * pixels_per_inch/72.0
         # else
-        #return points/72.0 * self.dpi.get()
+        # return points/72.0 * self.dpi.get()
 
 
 class GraphicsContextTemplate(GraphicsContextBase):
     """
-    The graphics context provides the color, line styles, etc...  See the gtk
+    The graphics context provides the color, line styles, etc.  See the cairo
     and postscript backends for examples of mapping the graphics context
     attributes (cap styles, join styles, line widths, colors) to a particular
-    backend.  In GTK this is done by wrapping a gtk.gdk.GC object and
+    backend.  In cairo this is done by wrapping a cairo.Context object and
     forwarding the appropriate calls to it using a dictionary mapping styles
     to gdk constants.  In Postscript, all the work is done by the renderer,
     mapping line styles to postscript calls.
 
     If it's more appropriate to do the mapping at the renderer level (as in
     the postscript backend), you don't need to override any of the GC methods.
-    If it's more appropriate to wrap an instance (as in the GTK backend) and
+    If it's more appropriate to wrap an instance (as in the cairo backend) and
     do the mapping here, you'll need to override several of the setter
     methods.
 
-    The base GraphicsContext stores colors as a RGB tuple on the unit
+    The base GraphicsContext stores colors as an RGB tuple on the unit
     interval, e.g., (0.5, 0.0, 1.0). You may need to map this to colors
     appropriate for your backend.
     """
-    pass
-
 
 
 ########################################################################
 #
-# The following functions and classes are for pylab and implement
-# window/figure managers, etc...
+# The following functions and classes are for pyplot and implement
+# window/figure managers, etc.
 #
 ########################################################################
 
-def draw_if_interactive():
-    """
-    For image backends - is not required
-    For GUI backends - this should be overriden if drawing should be done in
-    interactive python mode
-    """
-    pass
-
-def show():
-    """
-    For image backends - is not required
-    For GUI backends - show() is usually the last line of a pylab script and
-    tells the backend that it is time to draw.  In interactive mode, this may
-    be a do nothing func.  See the GTK backend for an example of how to handle
-    interactive versus batch mode
-    """
-    for manager in Gcf.get_all_fig_managers():
-        # do something to display the GUI
-        pass
-
 
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
+class FigureManagerTemplate(FigureManagerBase):
     """
-    # if a main-level app must be created, this (and
-    # new_figure_manager_given_figure) is the usual place to
-    # do it -- see backend_wx, backend_wxagg and backend_tkagg for
-    # examples.  Not all GUIs require explicit instantiation of a
-    # main-level app (egg backend_gtk, backend_gtkagg) for pylab
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
+    Helper class for pyplot mode, wraps everything up into a neat bundle.
 
-def new_figure_manager_given_figure(num, figure):
+    For non-interactive backends, the base class is sufficient.  For
+    interactive backends, see the documentation of the `.FigureManagerBase`
+    class for the list of methods that can/should be overridden.
     """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasTemplate(figure)
-    manager = FigureManagerTemplate(canvas, num)
-    return manager
 
 
 class FigureCanvasTemplate(FigureCanvasBase):
     """
     The canvas the figure renders into.  Calls the draw and print fig
-    methods, creates the renderers, etc...
-
-    Public attribute
+    methods, creates the renderers, etc.
 
-      figure - A Figure instance
-
-    Note GUI templates will want to connect events for button presses,
+    Note: GUI templates will want to connect events for button presses,
     mouse movements and key presses to functions that call the base
     class methods button_press_event, button_release_event,
-    motion_notify_event, key_press_event, and key_release_event.  See,
-    e.g., backend_gtk.py, backend_wx.py and backend_tkagg.py
+    motion_notify_event, key_press_event, and key_release_event.  See the
+    implementations of the interactive backends for examples.
+
+    Attributes
+    ----------
+    figure : `~matplotlib.figure.Figure`
+        A high-level Figure instance
     """
 
+    # The instantiated manager class.  For further customization,
+    # ``FigureManager.create_with_canvas`` can also be overridden; see the
+    # wx-based backends for an example.
+    manager_class = FigureManagerTemplate
+
     def draw(self):
         """
-        Draw the figure using the renderer
+        Draw the figure using the renderer.
+
+        It is important that this method actually walk the artist tree
+        even if not output is produced because this will trigger
+        deferred work (like computing limits auto-limits and tick
+        values) that users may want access to before saving to disk.
         """
         renderer = RendererTemplate(self.figure.dpi)
         self.figure.draw(renderer)
@@ -242,27 +185,23 @@ def draw(self):
 
     # If the file type is not in the base set of filetypes,
     # you should add it to the class-scope filetypes dictionary as follows:
-    filetypes = FigureCanvasBase.filetypes.copy()
-    filetypes['foo'] = 'My magic Foo format'
+    filetypes = {**FigureCanvasBase.filetypes, 'foo': 'My magic Foo format'}
 
-    def print_foo(self, filename, *args, **kwargs):
+    def print_foo(self, filename, **kwargs):
         """
-        Write out format foo.  The dpi, facecolor and edgecolor are restored
-        to their original values after this call, so you don't need to
-        save and restore them.
+        Write out format foo.
+
+        This method is normally called via `.Figure.savefig` and
+        `.FigureCanvasBase.print_figure`, which take care of setting the figure
+        facecolor, edgecolor, and dpi to the desired output values, and will
+        restore them to the original values.  Therefore, `print_foo` does not
+        need to handle these settings.
         """
-        pass
+        self.draw()
 
     def get_default_filetype(self):
         return 'foo'
 
-class FigureManagerTemplate(FigureManagerBase):
-    """
-    Wrap everything up into a window for the pylab interface
-
-    For non interactive backends, the base class does all the work
-    """
-    pass
 
 ########################################################################
 #
diff --git a/lib/matplotlib/backends/backend_tkagg.py b/lib/matplotlib/backends/backend_tkagg.py
index e2f122103a8e..f95b6011eadf 100644
--- a/lib/matplotlib/backends/backend_tkagg.py
+++ b/lib/matplotlib/backends/backend_tkagg.py
@@ -1,877 +1,20 @@
-# Todd Miller   jmiller@stsci.edu
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from . import _backend_tk
+from .backend_agg import FigureCanvasAgg
+from ._backend_tk import _BackendTk, FigureCanvasTk
+from ._backend_tk import (  # noqa: F401 # pylint: disable=W0611
+    FigureManagerTk, NavigationToolbar2Tk)
 
-import six
-from six.moves import tkinter as Tk
-from six.moves import tkinter_filedialog as FileDialog
-
-import os, sys, math
-import os.path
-
-# Paint image to Tk photo blitter extension
-import matplotlib.backends.tkagg as tkagg
-
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-import matplotlib.backends.windowing as windowing
-
-import matplotlib
-from matplotlib.cbook import is_string_like
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase
-from matplotlib.backend_bases import FigureManagerBase, FigureCanvasBase
-from matplotlib.backend_bases import NavigationToolbar2, cursors, TimerBase
-from matplotlib.backend_bases import ShowBase
-from matplotlib._pylab_helpers import Gcf
-
-from matplotlib.figure import Figure
-
-from matplotlib.widgets import SubplotTool
-
-import matplotlib.cbook as cbook
-
-rcParams = matplotlib.rcParams
-verbose = matplotlib.verbose
-
-
-backend_version = Tk.TkVersion
-
-# the true dots per inch on the screen; should be display dependent
-# see http://groups.google.com/groups?q=screen+dpi+x11&hl=en&lr=&ie=UTF-8&oe=UTF-8&safe=off&selm=7077.26e81ad5%40swift.cs.tcd.ie&rnum=5 for some info about screen dpi
-PIXELS_PER_INCH = 75
-
-cursord = {
-    cursors.MOVE: "fleur",
-    cursors.HAND: "hand2",
-    cursors.POINTER: "arrow",
-    cursors.SELECT_REGION: "tcross",
-    }
-
-
-def round(x):
-    return int(math.floor(x+0.5))
-
-def raise_msg_to_str(msg):
-    """msg is a return arg from a raise.  Join with new lines"""
-    if not is_string_like(msg):
-        msg = '\n'.join(map(str, msg))
-    return msg
-
-def error_msg_tkpaint(msg, parent=None):
-    from six.moves import tkinter_messagebox as tkMessageBox
-    tkMessageBox.showerror("matplotlib", msg)
-
-def draw_if_interactive():
-    if matplotlib.is_interactive():
-        figManager =  Gcf.get_active()
-        if figManager is not None:
-            figManager.show()
-
-class Show(ShowBase):
-    def mainloop(self):
-        Tk.mainloop()
-
-show = Show()
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    figure = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, figure)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    _focus = windowing.FocusManager()
-    window = Tk.Tk()
-    window.withdraw()
-
-    if Tk.TkVersion >= 8.5:
-        # put a mpl icon on the window rather than the default tk icon. Tkinter
-        # doesn't allow colour icons on linux systems, but tk >=8.5 has a iconphoto
-        # command which we call directly. Source:
-        # http://mail.python.org/pipermail/tkinter-discuss/2006-November/000954.html
-        icon_fname = os.path.join(rcParams['datapath'], 'images', 'matplotlib.gif')
-        icon_img = Tk.PhotoImage(file=icon_fname)
-        try:
-            window.tk.call('wm', 'iconphoto', window._w, icon_img)
-        except (SystemExit, KeyboardInterrupt):
-            # re-raise exit type Exceptions
-            raise
-        except:
-            # log the failure, but carry on
-            verbose.report('Could not load matplotlib icon: %s' % sys.exc_info()[1])
-
-    canvas = FigureCanvasTkAgg(figure, master=window)
-    figManager = FigureManagerTkAgg(canvas, num, window)
-    if matplotlib.is_interactive():
-        figManager.show()
-    return figManager
-
-
-class TimerTk(TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses Tk's timer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
-    def __init__(self, parent, *args, **kwargs):
-        TimerBase.__init__(self, *args, **kwargs)
-        self.parent = parent
-        self._timer = None
-
-    def _timer_start(self):
-        self._timer_stop()
-        self._timer = self.parent.after(self._interval, self._on_timer)
-
-    def _timer_stop(self):
-        if self._timer is not None:
-            self.parent.after_cancel(self._timer)
-        self._timer = None
-
-    def _on_timer(self):
-        TimerBase._on_timer(self)
-
-        # Tk after() is only a single shot, so we need to add code here to
-        # reset the timer if we're not operating in single shot mode.
-        if not self._single and len(self.callbacks) > 0:
-            self._timer = self.parent.after(self._interval, self._on_timer)
-        else:
-            self._timer = None
-
-
-class FigureCanvasTkAgg(FigureCanvasAgg):
-    keyvald = {65507 : 'control',
-               65505 : 'shift',
-               65513 : 'alt',
-               65515 : 'super',
-               65508 : 'control',
-               65506 : 'shift',
-               65514 : 'alt',
-               65361 : 'left',
-               65362 : 'up',
-               65363 : 'right',
-               65364 : 'down',
-               65307 : 'escape',
-               65470 : 'f1',
-               65471 : 'f2',
-               65472 : 'f3',
-               65473 : 'f4',
-               65474 : 'f5',
-               65475 : 'f6',
-               65476 : 'f7',
-               65477 : 'f8',
-               65478 : 'f9',
-               65479 : 'f10',
-               65480 : 'f11',
-               65481 : 'f12',
-               65300 : 'scroll_lock',
-               65299 : 'break',
-               65288 : 'backspace',
-               65293 : 'enter',
-               65379 : 'insert',
-               65535 : 'delete',
-               65360 : 'home',
-               65367 : 'end',
-               65365 : 'pageup',
-               65366 : 'pagedown',
-               65438 : '0',
-               65436 : '1',
-               65433 : '2',
-               65435 : '3',
-               65430 : '4',
-               65437 : '5',
-               65432 : '6',
-               65429 : '7',
-               65431 : '8',
-               65434 : '9',
-               65451 : '+',
-               65453 : '-',
-               65450 : '*',
-               65455 : '/',
-               65439 : 'dec',
-               65421 : 'enter',
-               }
-
-    _keycode_lookup = {
-                       262145: 'control',
-                       524320: 'alt',
-                       524352: 'alt',
-                       1048584: 'super',
-                       1048592: 'super',
-                       131074: 'shift',
-                       131076: 'shift',
-                       }
-    """_keycode_lookup is used for badly mapped (i.e. no event.key_sym set)
-       keys on apple keyboards."""
-
-    def __init__(self, figure, master=None, resize_callback=None):
-        FigureCanvasAgg.__init__(self, figure)
-        self._idle = True
-        self._idle_callback = None
-        t1,t2,w,h = self.figure.bbox.bounds
-        w, h = int(w), int(h)
-        self._tkcanvas = Tk.Canvas(
-            master=master, width=w, height=h, borderwidth=4)
-        self._tkphoto = Tk.PhotoImage(
-            master=self._tkcanvas, width=w, height=h)
-        self._tkcanvas.create_image(w//2, h//2, image=self._tkphoto)
-        self._resize_callback = resize_callback
-        self._tkcanvas.bind("<Configure>", self.resize)
-        self._tkcanvas.bind("<Key>", self.key_press)
-        self._tkcanvas.bind("<Motion>", self.motion_notify_event)
-        self._tkcanvas.bind("<KeyRelease>", self.key_release)
-        for name in "<Button-1>", "<Button-2>", "<Button-3>":
-            self._tkcanvas.bind(name, self.button_press_event)
-        for name in "<Double-Button-1>", "<Double-Button-2>", "<Double-Button-3>":
-            self._tkcanvas.bind(name, self.button_dblclick_event)
-        for name in "<ButtonRelease-1>", "<ButtonRelease-2>", "<ButtonRelease-3>":
-            self._tkcanvas.bind(name, self.button_release_event)
-
-        # Mouse wheel on Linux generates button 4/5 events
-        for name in "<Button-4>", "<Button-5>":
-            self._tkcanvas.bind(name, self.scroll_event)
-        # Mouse wheel for windows goes to the window with the focus.
-        # Since the canvas won't usually have the focus, bind the
-        # event to the window containing the canvas instead.
-        # See http://wiki.tcl.tk/3893 (mousewheel) for details
-        root = self._tkcanvas.winfo_toplevel()
-        root.bind("<MouseWheel>", self.scroll_event_windows)
-
-        # Can't get destroy events by binding to _tkcanvas. Therefore, bind
-        # to the window and filter.
-        def filter_destroy(evt):
-            if evt.widget is self._tkcanvas:
-                self.close_event()
-        root.bind("<Destroy>", filter_destroy)
-
-        self._master = master
-        self._tkcanvas.focus_set()
-
-    def resize(self, event):
-        width, height = event.width, event.height
-        if self._resize_callback is not None:
-            self._resize_callback(event)
-
-        # compute desired figure size in inches
-        dpival = self.figure.dpi
-        winch = width/dpival
-        hinch = height/dpival
-        self.figure.set_size_inches(winch, hinch)
-
-
-        self._tkcanvas.delete(self._tkphoto)
-        self._tkphoto = Tk.PhotoImage(
-            master=self._tkcanvas, width=int(width), height=int(height))
-        self._tkcanvas.create_image(int(width/2),int(height/2),image=self._tkphoto)
-        self.resize_event()
-        self.show()
-
-        # a resizing will in general move the pointer position
-        # relative to the canvas, so process it as a motion notify
-        # event.  An intended side effect of this call is to allow
-        # window raises (which trigger a resize) to get the cursor
-        # position to the mpl event framework so key presses which are
-        # over the axes will work w/o clicks or explicit motion
-        self._update_pointer_position(event)
-
-    def _update_pointer_position(self, guiEvent=None):
-        """
-        Figure out if we are inside the canvas or not and update the
-        canvas enter/leave events
-        """
-        # if the pointer if over the canvas, set the lastx and lasty
-        # attrs of the canvas so it can process event w/o mouse click
-        # or move
-
-        # the window's upper, left coords in screen coords
-        xw = self._tkcanvas.winfo_rootx()
-        yw = self._tkcanvas.winfo_rooty()
-        # the pointer's location in screen coords
-        xp, yp = self._tkcanvas.winfo_pointerxy()
-
-        # not figure out the canvas coordinates of the pointer
-        xc = xp - xw
-        yc = yp - yw
-
-        # flip top/bottom
-        yc = self.figure.bbox.height - yc
-
-        # JDH: this method was written originally to get the pointer
-        # location to the backend lastx and lasty attrs so that events
-        # like KeyEvent can be handled without mouse events.  e.g., if
-        # the cursor is already above the axes, then key presses like
-        # 'g' should toggle the grid.  In order for this to work in
-        # backend_bases, the canvas needs to know _lastx and _lasty.
-        # There are three ways to get this info the canvas:
-        #
-        # 1) set it explicity
-        #
-        # 2) call enter/leave events explicity.  The downside of this
-        #    in the impl below is that enter could be repeatedly
-        #    triggered if thes  mouse is over the axes and one is
-        #    resizing with the keyboard.  This is not entirely bad,
-        #    because the mouse position relative to the canvas is
-        #    changing, but it may be surprising to get repeated entries
-        #    without leaves
-        #
-        # 3) process it as a motion notify event.  This also has pros
-        #    and cons.  The mouse is moving relative to the window, but
-        #    this may surpise an event handler writer who is getting
-        #   motion_notify_events even if the mouse has not moved
-
-        # here are the three scenarios
-        if 1:
-            # just manually set it
-            self._lastx, self._lasty = xc, yc
-        elif 0:
-            # alternate implementation: process it as a motion
-            FigureCanvasBase.motion_notify_event(self, xc, yc, guiEvent)
-        elif 0:
-            # alternate implementation -- process enter/leave events
-            # instead of motion/notify
-            if self.figure.bbox.contains(xc, yc):
-                self.enter_notify_event(guiEvent, xy=(xc,yc))
-            else:
-                self.leave_notify_event(guiEvent)
 
+class FigureCanvasTkAgg(FigureCanvasAgg, FigureCanvasTk):
     def draw(self):
-        FigureCanvasAgg.draw(self)
-        tkagg.blit(self._tkphoto, self.renderer._renderer, colormode=2)
-        self._master.update_idletasks()
+        super().draw()
+        self.blit()
 
     def blit(self, bbox=None):
-        tkagg.blit(self._tkphoto, self.renderer._renderer, bbox=bbox, colormode=2)
-        self._master.update_idletasks()
-
-    show = draw
-
-    def draw_idle(self):
-        'update drawing area only if idle'
-        d = self._idle
-        self._idle = False
-        def idle_draw(*args):
-            try:
-                self.draw()
-            finally:
-                self._idle = True
-
-        if d:
-            self._idle_callback = self._tkcanvas.after_idle(idle_draw)
-
-    def get_tk_widget(self):
-        """returns the Tk widget used to implement FigureCanvasTkAgg.
-        Although the initial implementation uses a Tk canvas,  this routine
-        is intended to hide that fact.
-        """
-        return self._tkcanvas
-
-    def motion_notify_event(self, event):
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y
-        FigureCanvasBase.motion_notify_event(self, x, y, guiEvent=event)
-
-
-    def button_press_event(self, event, dblclick=False):
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y
-        num = getattr(event, 'num', None)
-
-        if sys.platform=='darwin':
-            # 2 and 3 were reversed on the OSX platform I
-            # tested under tkagg
-            if   num==2: num=3
-            elif num==3: num=2
-
-        FigureCanvasBase.button_press_event(self, x, y, num, dblclick=dblclick, guiEvent=event)
-
-    def button_dblclick_event(self,event):
-        self.button_press_event(event,dblclick=True)
-
-    def button_release_event(self, event):
-        x = event.x
-        # flipy so y=0 is bottom of canvas
-        y = self.figure.bbox.height - event.y
-
-        num = getattr(event, 'num', None)
-
-        if sys.platform=='darwin':
-            # 2 and 3 were reversed on the OSX platform I
-            # tested under tkagg
-            if   num==2: num=3
-            elif num==3: num=2
-
-        FigureCanvasBase.button_release_event(self, x, y, num, guiEvent=event)
-
-    def scroll_event(self, event):
-        x = event.x
-        y = self.figure.bbox.height - event.y
-        num = getattr(event, 'num', None)
-        if   num==4: step = +1
-        elif num==5: step = -1
-        else:        step =  0
-
-        FigureCanvasBase.scroll_event(self, x, y, step, guiEvent=event)
-
-    def scroll_event_windows(self, event):
-        """MouseWheel event processor"""
-        # need to find the window that contains the mouse
-        w = event.widget.winfo_containing(event.x_root, event.y_root)
-        if w == self._tkcanvas:
-            x = event.x_root - w.winfo_rootx()
-            y = event.y_root - w.winfo_rooty()
-            y = self.figure.bbox.height - y
-            step = event.delta/120.
-            FigureCanvasBase.scroll_event(self, x, y, step, guiEvent=event)
-
-    def _get_key(self, event):
-        val = event.keysym_num
-        if val in self.keyvald:
-            key = self.keyvald[val]
-        elif val == 0 and sys.platform == 'darwin' and \
-                                        event.keycode in self._keycode_lookup:
-            key = self._keycode_lookup[event.keycode]
-        elif val < 256:
-            key = chr(val)
-        else:
-            key = None
-
-        # add modifier keys to the key string. Bit details originate from
-        # http://effbot.org/tkinterbook/tkinter-events-and-bindings.htm
-        # BIT_SHIFT = 0x001; BIT_CAPSLOCK = 0x002; BIT_CONTROL = 0x004;
-        # BIT_LEFT_ALT = 0x008; BIT_NUMLOCK = 0x010; BIT_RIGHT_ALT = 0x080;
-        # BIT_MB_1 = 0x100; BIT_MB_2 = 0x200; BIT_MB_3 = 0x400;
-        # In general, the modifier key is excluded from the modifier flag,
-        # however this is not the case on "darwin", so double check that
-        # we aren't adding repeat modifier flags to a modifier key.
-        if sys.platform == 'win32':
-            modifiers = [(17, 'alt', 'alt'),
-                         (2, 'ctrl', 'control'),
-                         ]
-        elif sys.platform == 'darwin':
-            modifiers = [(3, 'super', 'super'),
-                         (4, 'alt', 'alt'),
-                         (2, 'ctrl', 'control'),
-                         ]
-        else:
-            modifiers = [(6, 'super', 'super'),
-                         (3, 'alt', 'alt'),
-                         (2, 'ctrl', 'control'),
-                         ]
-
-        if key is not None:
-            # note, shift is not added to the keys as this is already accounted for
-            for bitmask, prefix, key_name in modifiers:
-                if event.state & (1 << bitmask) and key_name not in key:
-                    key = '{0}+{1}'.format(prefix, key)
-
-        return key
-
-    def key_press(self, event):
-        key = self._get_key(event)
-        FigureCanvasBase.key_press_event(self, key, guiEvent=event)
-
-    def key_release(self, event):
-        key = self._get_key(event)
-        FigureCanvasBase.key_release_event(self, key, guiEvent=event)
-
-    def new_timer(self, *args, **kwargs):
-        """
-        Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
-        This is useful for getting periodic events through the backend's native
-        event loop. Implemented only for backends with GUIs.
-
-        optional arguments:
-
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
-        """
-        return TimerTk(self._tkcanvas, *args, **kwargs)
-
-    def flush_events(self):
-        self._master.update()
-
-    def start_event_loop(self,timeout):
-        FigureCanvasBase.start_event_loop_default(self,timeout)
-    start_event_loop.__doc__=FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__=FigureCanvasBase.stop_event_loop_default.__doc__
-
-class FigureManagerTkAgg(FigureManagerBase):
-    """
-    Public attributes
-
-    canvas      : The FigureCanvas instance
-    num         : The Figure number
-    toolbar     : The tk.Toolbar
-    window      : The tk.Window
-    """
-    def __init__(self, canvas, num, window):
-        FigureManagerBase.__init__(self, canvas, num)
-        self.window = window
-        self.window.withdraw()
-        self.set_window_title("Figure %d" % num)
-        self.canvas = canvas
-        self._num =  num
-        _, _, w, h = canvas.figure.bbox.bounds
-        w, h = int(w), int(h)
-        self.window.minsize(int(w*3/4),int(h*3/4))
-        if matplotlib.rcParams['toolbar']=='toolbar2':
-            self.toolbar = NavigationToolbar2TkAgg( canvas, self.window )
-        else:
-            self.toolbar = None
-        if self.toolbar is not None:
-            self.toolbar.update()
-        self.canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-        self._shown = False
-
-        def notify_axes_change(fig):
-            'this will be called whenever the current axes is changed'
-            if self.toolbar != None: self.toolbar.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
-
-    def resize(self, width, height=None):
-        # before 09-12-22, the resize method takes a single *event*
-        # parameter. On the other hand, the resize method of other
-        # FigureManager class takes *width* and *height* parameter,
-        # which is used to change the size of the window. For the
-        # Figure.set_size_inches with forward=True work with Tk
-        # backend, I changed the function signature but tried to keep
-        # it backward compatible. -JJL
-
-        # when a single parameter is given, consider it as a event
-        if height is None:
-            width = width.width
-        else:
-            self.canvas._tkcanvas.master.geometry("%dx%d" % (width, height))
-
-        self.toolbar.configure(width=width)
-
-    def show(self):
-        """
-        this function doesn't segfault but causes the
-        PyEval_RestoreThread: NULL state bug on win32
-        """
-        _focus = windowing.FocusManager()
-        if not self._shown:
-            def destroy(*args):
-                self.window = None
-                Gcf.destroy(self._num)
-            self.canvas._tkcanvas.bind("<Destroy>", destroy)
-            self.window.deiconify()
-            # anim.py requires this
-            self.window.update()
-        else:
-            self.canvas.draw_idle()
-        self._shown = True
-
-    def destroy(self, *args):
-        if self.window is not None:
-            #self.toolbar.destroy()
-            if self.canvas._idle_callback:
-                self.canvas._tkcanvas.after_cancel(self.canvas._idle_callback)
-            self.window.destroy()
-        if Gcf.get_num_fig_managers()==0:
-            if self.window is not None:
-                self.window.quit()
-        self.window = None
-
-    def get_window_title(self):
-        return self.window.wm_title()
-
-    def set_window_title(self, title):
-        self.window.wm_title(title)
-
-    def full_screen_toggle(self):
-        is_fullscreen = bool(self.window.attributes('-fullscreen'))
-        self.window.attributes('-fullscreen', not is_fullscreen)
-
-
-class AxisMenu(object):
-    def __init__(self, master, naxes):
-        self._master = master
-        self._naxes = naxes
-        self._mbar = Tk.Frame(master=master, relief=Tk.RAISED, borderwidth=2)
-        self._mbar.pack(side=Tk.LEFT)
-        self._mbutton = Tk.Menubutton(
-            master=self._mbar, text="Axes", underline=0)
-        self._mbutton.pack(side=Tk.LEFT, padx="2m")
-        self._mbutton.menu = Tk.Menu(self._mbutton)
-        self._mbutton.menu.add_command(
-            label="Select All", command=self.select_all)
-        self._mbutton.menu.add_command(
-            label="Invert All", command=self.invert_all)
-        self._axis_var = []
-        self._checkbutton = []
-        for i in range(naxes):
-            self._axis_var.append(Tk.IntVar())
-            self._axis_var[i].set(1)
-            self._checkbutton.append(self._mbutton.menu.add_checkbutton(
-                label = "Axis %d" % (i+1),
-                variable=self._axis_var[i],
-                command=self.set_active))
-            self._mbutton.menu.invoke(self._mbutton.menu.index("Select All"))
-        self._mbutton['menu'] = self._mbutton.menu
-        self._mbar.tk_menuBar(self._mbutton)
-        self.set_active()
-
-    def adjust(self, naxes):
-        if self._naxes < naxes:
-            for i in range(self._naxes, naxes):
-                self._axis_var.append(Tk.IntVar())
-                self._axis_var[i].set(1)
-                self._checkbutton.append( self._mbutton.menu.add_checkbutton(
-                    label = "Axis %d" % (i+1),
-                    variable=self._axis_var[i],
-                    command=self.set_active))
-        elif self._naxes > naxes:
-            for i in range(self._naxes-1, naxes-1, -1):
-                del self._axis_var[i]
-                self._mbutton.menu.forget(self._checkbutton[i])
-                del self._checkbutton[i]
-        self._naxes = naxes
-        self.set_active()
-
-    def get_indices(self):
-        a = [i for i in range(len(self._axis_var)) if self._axis_var[i].get()]
-        return a
-
-    def set_active(self):
-        self._master.set_active(self.get_indices())
-
-    def invert_all(self):
-        for a in self._axis_var:
-            a.set(not a.get())
-        self.set_active()
-
-    def select_all(self):
-        for a in self._axis_var:
-            a.set(1)
-        self.set_active()
-
-
-class NavigationToolbar2TkAgg(NavigationToolbar2, Tk.Frame):
-    """
-    Public attributes
-
-      canvas   - the FigureCanvas  (gtk.DrawingArea)
-      win   - the gtk.Window
-    """
-    def __init__(self, canvas, window):
-        self.canvas = canvas
-        self.window = window
-        self._idle = True
-        #Tk.Frame.__init__(self, master=self.canvas._tkcanvas)
-        NavigationToolbar2.__init__(self, canvas)
-
-    def destroy(self, *args):
-        del self.message
-        Tk.Frame.destroy(self, *args)
-
-    def set_message(self, s):
-        self.message.set(s)
-
-    def draw_rubberband(self, event, x0, y0, x1, y1):
-        height = self.canvas.figure.bbox.height
-        y0 =  height-y0
-        y1 =  height-y1
-        try: self.lastrect
-        except AttributeError: pass
-        else: self.canvas._tkcanvas.delete(self.lastrect)
-        self.lastrect = self.canvas._tkcanvas.create_rectangle(x0, y0, x1, y1)
-
-        #self.canvas.draw()
-
-    def release(self, event):
-        try: self.lastrect
-        except AttributeError: pass
-        else:
-            self.canvas._tkcanvas.delete(self.lastrect)
-            del self.lastrect
-
-    def set_cursor(self, cursor):
-        self.window.configure(cursor=cursord[cursor])
-
-    def _Button(self, text, file, command, extension='.ppm'):
-        img_file = os.path.join(rcParams['datapath'], 'images', file + extension)
-        im = Tk.PhotoImage(master=self, file=img_file)
-        b = Tk.Button(
-            master=self, text=text, padx=2, pady=2, image=im, command=command)
-        b._ntimage = im
-        b.pack(side=Tk.LEFT)
-        return b
-
-    def _init_toolbar(self):
-        xmin, xmax = self.canvas.figure.bbox.intervalx
-        height, width = 50, xmax-xmin
-        Tk.Frame.__init__(self, master=self.window,
-                          width=int(width), height=int(height),
-                          borderwidth=2)
-
-        self.update()  # Make axes menu
-
-        for text, tooltip_text, image_file, callback in self.toolitems:
-            if text is None:
-                # spacer, unhandled in Tk
-                pass
-            else:
-                button = self._Button(text=text, file=image_file,
-                                   command=getattr(self, callback))
-                if tooltip_text is not None:
-                    ToolTip.createToolTip(button, tooltip_text)
-
-        self.message = Tk.StringVar(master=self)
-        self._message_label = Tk.Label(master=self, textvariable=self.message)
-        self._message_label.pack(side=Tk.RIGHT)
-        self.pack(side=Tk.BOTTOM, fill=Tk.X)
-
-
-    def configure_subplots(self):
-        toolfig = Figure(figsize=(6,3))
-        window = Tk.Tk()
-        canvas = FigureCanvasTkAgg(toolfig, master=window)
-        toolfig.subplots_adjust(top=0.9)
-        tool =  SubplotTool(self.canvas.figure, toolfig)
-        canvas.show()
-        canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
-
-    def save_figure(self, *args):
-        from six.moves import tkinter_tkfiledialog, tkinter_messagebox
-        filetypes = self.canvas.get_supported_filetypes().copy()
-        default_filetype = self.canvas.get_default_filetype()
-
-        # Tk doesn't provide a way to choose a default filetype,
-        # so we just have to put it first
-        default_filetype_name = filetypes[default_filetype]
-        del filetypes[default_filetype]
-
-        sorted_filetypes = list(six.iteritems(filetypes))
-        sorted_filetypes.sort()
-        sorted_filetypes.insert(0, (default_filetype, default_filetype_name))
-
-        tk_filetypes = [
-            (name, '*.%s' % ext) for (ext, name) in sorted_filetypes]
-
-        # adding a default extension seems to break the
-        # asksaveasfilename dialog when you choose various save types
-        # from the dropdown.  Passing in the empty string seems to
-        # work - JDH!
-        #defaultextension = self.canvas.get_default_filetype()
-        defaultextension = ''
-        initialdir = rcParams.get('savefig.directory', '')
-        initialdir = os.path.expanduser(initialdir)
-        initialfile = self.canvas.get_default_filename()
-        fname = tkinter_tkfiledialog.asksaveasfilename(
-            master=self.window,
-            title='Save the figure',
-            filetypes=tk_filetypes,
-            defaultextension=defaultextension,
-            initialdir=initialdir,
-            initialfile=initialfile,
-            )
-
-        if fname == "" or fname == ():
-            return
-        else:
-            if initialdir == '':
-                # explicitly missing key or empty str signals to use cwd
-                rcParams['savefig.directory'] = initialdir
-            else:
-                # save dir for next time
-                rcParams['savefig.directory'] = os.path.dirname(six.text_type(fname))
-            try:
-                # This method will handle the delegation to the correct type
-                self.canvas.print_figure(fname)
-            except Exception as e:
-                tkinter_messagebox.showerror("Error saving file", str(e))
-
-    def set_active(self, ind):
-        self._ind = ind
-        self._active = [ self._axes[i] for i in self._ind ]
-
-    def update(self):
-        _focus = windowing.FocusManager()
-        self._axes = self.canvas.figure.axes
-        naxes = len(self._axes)
-        #if not hasattr(self, "omenu"):
-        #    self.set_active(range(naxes))
-        #    self.omenu = AxisMenu(master=self, naxes=naxes)
-        #else:
-        #    self.omenu.adjust(naxes)
-        NavigationToolbar2.update(self)
-
-    def dynamic_update(self):
-        'update drawing area only if idle'
-        # legacy method; new method is canvas.draw_idle
-        self.canvas.draw_idle()
-
-
-class ToolTip(object):
-    """
-    Tooltip recipe from
-    http://www.voidspace.org.uk/python/weblog/arch_d7_2006_07_01.shtml#e387
-    """
-    @staticmethod
-    def createToolTip(widget, text):
-        toolTip = ToolTip(widget)
-        def enter(event):
-            toolTip.showtip(text)
-        def leave(event):
-            toolTip.hidetip()
-        widget.bind('<Enter>', enter)
-        widget.bind('<Leave>', leave)
-
-    def __init__(self, widget):
-        self.widget = widget
-        self.tipwindow = None
-        self.id = None
-        self.x = self.y = 0
-
-    def showtip(self, text):
-        "Display text in tooltip window"
-        self.text = text
-        if self.tipwindow or not self.text:
-            return
-        x, y, _, _ = self.widget.bbox("insert")
-        x = x + self.widget.winfo_rootx() + 27
-        y = y + self.widget.winfo_rooty()
-        self.tipwindow = tw = Tk.Toplevel(self.widget)
-        tw.wm_overrideredirect(1)
-        tw.wm_geometry("+%d+%d" % (x, y))
-        try:
-            # For Mac OS
-            tw.tk.call("::tk::unsupported::MacWindowStyle",
-                       "style", tw._w,
-                       "help", "noActivates")
-        except Tk.TclError:
-            pass
-        label = Tk.Label(tw, text=self.text, justify=Tk.LEFT,
-                      background="#ffffe0", relief=Tk.SOLID, borderwidth=1,
-                      )
-        label.pack(ipadx=1)
+        _backend_tk.blit(self._tkphoto, self.renderer.buffer_rgba(),
+                         (0, 1, 2, 3), bbox=bbox)
 
-    def hidetip(self):
-        tw = self.tipwindow
-        self.tipwindow = None
-        if tw:
-            tw.destroy()
 
-FigureCanvas = FigureCanvasTkAgg
-FigureManager = FigureManagerTkAgg
+@_BackendTk.export
+class _BackendTkAgg(_BackendTk):
+    FigureCanvas = FigureCanvasTkAgg
diff --git a/lib/matplotlib/backends/backend_tkcairo.py b/lib/matplotlib/backends/backend_tkcairo.py
new file mode 100644
index 000000000000..a6951c03c65a
--- /dev/null
+++ b/lib/matplotlib/backends/backend_tkcairo.py
@@ -0,0 +1,26 @@
+import sys
+
+import numpy as np
+
+from . import _backend_tk
+from .backend_cairo import cairo, FigureCanvasCairo
+from ._backend_tk import _BackendTk, FigureCanvasTk
+
+
+class FigureCanvasTkCairo(FigureCanvasCairo, FigureCanvasTk):
+    def draw(self):
+        width = int(self.figure.bbox.width)
+        height = int(self.figure.bbox.height)
+        surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
+        self._renderer.set_context(cairo.Context(surface))
+        self._renderer.dpi = self.figure.dpi
+        self.figure.draw(self._renderer)
+        buf = np.reshape(surface.get_data(), (height, width, 4))
+        _backend_tk.blit(
+            self._tkphoto, buf,
+            (2, 1, 0, 3) if sys.byteorder == "little" else (1, 2, 3, 0))
+
+
+@_BackendTk.export
+class _BackendTkCairo(_BackendTk):
+    FigureCanvas = FigureCanvasTkCairo
diff --git a/lib/matplotlib/backends/backend_webagg.py b/lib/matplotlib/backends/backend_webagg.py
index 9583906ab2fe..dfc5747ef77c 100644
--- a/lib/matplotlib/backends/backend_webagg.py
+++ b/lib/matplotlib/backends/backend_webagg.py
@@ -1,8 +1,4 @@
-"""
-Displays Agg images in the browser, with interactivity
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+"""Displays Agg images in the browser, with interactivity."""
 
 # The WebAgg backend is divided into two modules:
 #
@@ -13,109 +9,62 @@
 # - `backend_webagg.py` contains a concrete implementation of a basic
 #   application, implemented with tornado.
 
-import six
-
-import datetime
+from contextlib import contextmanager
 import errno
-import io
+from io import BytesIO
 import json
-import os
+import mimetypes
+from pathlib import Path
 import random
 import sys
-import socket
+import signal
 import threading
 
 try:
     import tornado
-except ImportError:
-    raise RuntimeError("The WebAgg backend requires Tornado.")
+except ImportError as err:
+    raise RuntimeError("The WebAgg backend requires Tornado.") from err
 
 import tornado.web
 import tornado.ioloop
 import tornado.websocket
 
-import matplotlib
-from matplotlib import rcParams
-from matplotlib import backend_bases
-from matplotlib.figure import Figure
+import matplotlib as mpl
+from matplotlib.backend_bases import _Backend
 from matplotlib._pylab_helpers import Gcf
 from . import backend_webagg_core as core
-from .backend_nbagg import TimerTornado
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
+from .backend_webagg_core import (  # noqa: F401 # pylint: disable=W0611
+    TimerAsyncio, TimerTornado)
 
 
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasWebAgg(figure)
-    manager = core.FigureManagerWebAgg(canvas, num)
-    return manager
+webagg_server_thread = threading.Thread(
+    target=lambda: tornado.ioloop.IOLoop.instance().start())
 
 
-def draw_if_interactive():
-    """
-    Is called after every pylab drawing command
-    """
-    if matplotlib.is_interactive():
-        figManager = Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.draw_idle()
+class FigureManagerWebAgg(core.FigureManagerWebAgg):
+    _toolbar2_class = core.NavigationToolbar2WebAgg
 
-
-class Show(backend_bases.ShowBase):
-    def mainloop(self):
+    @classmethod
+    def pyplot_show(cls, *, block=None):
         WebAggApplication.initialize()
 
-        url = "http://127.0.0.1:{port}{prefix}".format(
+        url = "http://{address}:{port}{prefix}".format(
+            address=WebAggApplication.address,
             port=WebAggApplication.port,
             prefix=WebAggApplication.url_prefix)
 
-        if rcParams['webagg.open_in_browser']:
+        if mpl.rcParams['webagg.open_in_browser']:
             import webbrowser
-            webbrowser.open(url)
+            if not webbrowser.open(url):
+                print(f"To view figure, visit {url}")
         else:
-            print("To view figure, visit {0}".format(url))
+            print(f"To view figure, visit {url}")
 
         WebAggApplication.start()
 
 
-show = Show().mainloop
-
-
-class ServerThread(threading.Thread):
-    def run(self):
-        tornado.ioloop.IOLoop.instance().start()
-
-webagg_server_thread = ServerThread()
-
-
 class FigureCanvasWebAgg(core.FigureCanvasWebAggCore):
-    def show(self):
-        # show the figure window
-        show()
-
-    def new_timer(self, *args, **kwargs):
-        return TimerTornado(*args, **kwargs)
-
-    def start_event_loop(self, timeout):
-        backend_bases.FigureCanvasBase.start_event_loop_default(
-            self, timeout)
-    start_event_loop.__doc__ = \
-        backend_bases.FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        backend_bases.FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__ = \
-        backend_bases.FigureCanvasBase.stop_event_loop_default.__doc__
+    manager_class = FigureManagerWebAgg
 
 
 class WebAggApplication(tornado.web.Application):
@@ -124,27 +73,20 @@ class WebAggApplication(tornado.web.Application):
 
     class FavIcon(tornado.web.RequestHandler):
         def get(self):
-            image_path = os.path.join(
-                os.path.dirname(os.path.dirname(__file__)),
-                'mpl-data', 'images')
-
             self.set_header('Content-Type', 'image/png')
-            with open(os.path.join(image_path,
-                                   'matplotlib.png'), 'rb') as fd:
-                self.write(fd.read())
+            self.write(Path(mpl.get_data_path(),
+                            'images/matplotlib.png').read_bytes())
 
     class SingleFigurePage(tornado.web.RequestHandler):
-        def __init__(self, application, request, **kwargs):
-            self.url_prefix = kwargs.pop('url_prefix', '')
-            return tornado.web.RequestHandler.__init__(self, application,
-                                                       request, **kwargs)
+        def __init__(self, application, request, *, url_prefix='', **kwargs):
+            self.url_prefix = url_prefix
+            super().__init__(application, request, **kwargs)
 
         def get(self, fignum):
             fignum = int(fignum)
             manager = Gcf.get_fig_manager(fignum)
 
-            ws_uri = 'ws://{req.host}{prefix}/'.format(req=self.request,
-                                                       prefix=self.url_prefix)
+            ws_uri = f'ws://{self.request.host}{self.url_prefix}/'
             self.render(
                 "single_figure.html",
                 prefix=self.url_prefix,
@@ -154,20 +96,17 @@ def get(self, fignum):
                 canvas=manager.canvas)
 
     class AllFiguresPage(tornado.web.RequestHandler):
-        def __init__(self, application, request, **kwargs):
-            self.url_prefix = kwargs.pop('url_prefix', '')
-            return tornado.web.RequestHandler.__init__(self, application,
-                                                       request, **kwargs)
+        def __init__(self, application, request, *, url_prefix='', **kwargs):
+            self.url_prefix = url_prefix
+            super().__init__(application, request, **kwargs)
 
         def get(self):
-            ws_uri = 'ws://{req.host}{prefix}/'.format(req=self.request,
-                                                       prefix=self.url_prefix)
+            ws_uri = f'ws://{self.request.host}{self.url_prefix}/'
             self.render(
                 "all_figures.html",
                 prefix=self.url_prefix,
                 ws_uri=ws_uri,
-                figures=sorted(
-                    list(Gcf.figs.items()), key=lambda item: item[0]),
+                figures=sorted(Gcf.figs.items()),
                 toolitems=core.NavigationToolbar2WebAgg.toolitems)
 
     class MplJs(tornado.web.RequestHandler):
@@ -182,23 +121,10 @@ class Download(tornado.web.RequestHandler):
         def get(self, fignum, fmt):
             fignum = int(fignum)
             manager = Gcf.get_fig_manager(fignum)
-
-            # TODO: Move this to a central location
-            mimetypes = {
-                'ps': 'application/postscript',
-                'eps': 'application/postscript',
-                'pdf': 'application/pdf',
-                'svg': 'image/svg+xml',
-                'png': 'image/png',
-                'jpeg': 'image/jpeg',
-                'tif': 'image/tiff',
-                'emf': 'application/emf'
-            }
-
-            self.set_header('Content-Type', mimetypes.get(fmt, 'binary'))
-
-            buff = io.BytesIO()
-            manager.canvas.print_figure(buff, format=fmt)
+            self.set_header(
+                'Content-Type', mimetypes.types_map.get(fmt, 'binary'))
+            buff = BytesIO()
+            manager.canvas.figure.savefig(buff, format=fmt)
             self.write(buff.getvalue())
 
     class WebSocket(tornado.websocket.WebSocketHandler):
@@ -236,7 +162,7 @@ def send_binary(self, blob):
             if self.supports_binary:
                 self.write_message(blob, binary=True)
             else:
-                data_uri = "data:image/png;base64,{0}".format(
+                data_uri = "data:image/png;base64,{}".format(
                     blob.encode('base64').replace('\n', ''))
                 self.write_message(data_uri)
 
@@ -245,14 +171,19 @@ def __init__(self, url_prefix=''):
             assert url_prefix[0] == '/' and url_prefix[-1] != '/', \
                 'url_prefix must start with a "/" and not end with one.'
 
-        super(WebAggApplication, self).__init__(
+        super().__init__(
             [
                 # Static files for the CSS and JS
                 (url_prefix + r'/_static/(.*)',
                  tornado.web.StaticFileHandler,
                  {'path': core.FigureManagerWebAgg.get_static_file_path()}),
 
-                # An MPL favicon
+                # Static images for the toolbar
+                (url_prefix + r'/_images/(.*)',
+                 tornado.web.StaticFileHandler,
+                 {'path': Path(mpl.get_data_path(), 'images')}),
+
+                # A Matplotlib favicon
                 (url_prefix + r'/favicon.ico', self.FavIcon),
 
                 # The page that contains all of the pieces
@@ -263,7 +194,7 @@ def __init__(self, url_prefix=''):
                 (url_prefix + r'/?', self.AllFiguresPage,
                  {'url_prefix': url_prefix}),
 
-                (url_prefix + r'/mpl.js', self.MplJs),
+                (url_prefix + r'/js/mpl.js', self.MplJs),
 
                 # Sends images and events to the browser, and receives
                 # events from the browser
@@ -276,7 +207,7 @@ def __init__(self, url_prefix=''):
             template_path=core.FigureManagerWebAgg.get_static_file_path())
 
     @classmethod
-    def initialize(cls, url_prefix='', port=None):
+    def initialize(cls, url_prefix='', port=None, address=None):
         if cls.initialized:
             return
 
@@ -299,20 +230,22 @@ def random_ports(port, n):
             for i in range(n - 5):
                 yield port + random.randint(-2 * n, 2 * n)
 
-        success = None
-        cls.port = rcParams['webagg.port']
-        for port in random_ports(cls.port, rcParams['webagg.port_retries']):
+        if address is None:
+            cls.address = mpl.rcParams['webagg.address']
+        else:
+            cls.address = address
+        cls.port = mpl.rcParams['webagg.port']
+        for port in random_ports(cls.port,
+                                 mpl.rcParams['webagg.port_retries']):
             try:
-                app.listen(port)
-            except socket.error as e:
+                app.listen(port, cls.address)
+            except OSError as e:
                 if e.errno != errno.EADDRINUSE:
                     raise
             else:
                 cls.port = port
-                success = True
                 break
-
-        if not success:
+        else:
             raise SystemExit(
                 "The webagg server could not be started because an available "
                 "port could not be found")
@@ -321,12 +254,17 @@ def random_ports(port, n):
 
     @classmethod
     def start(cls):
+        import asyncio
+        try:
+            asyncio.get_running_loop()
+        except RuntimeError:
+            pass
+        else:
+            cls.started = True
+
         if cls.started:
             return
 
-        # Set the flag to True *before* blocking on IOLoop.instance().start()
-        cls.started = True
-
         """
         IOLoop.running() was removed as of Tornado 2.4; see for example
         https://groups.google.com/forum/#!topic/python-tornado/QLMzkpQBGOY
@@ -334,31 +272,47 @@ def start(cls):
         launched. We may end up with two concurrently running loops in that
         unlucky case with all the expected consequences.
         """
-        print("Press Ctrl+C to stop WebAgg server")
-        sys.stdout.flush()
-        try:
-            tornado.ioloop.IOLoop.instance().start()
-        except KeyboardInterrupt:
+        ioloop = tornado.ioloop.IOLoop.instance()
+
+        def shutdown():
+            ioloop.stop()
             print("Server is stopped")
             sys.stdout.flush()
-        finally:
             cls.started = False
 
+        @contextmanager
+        def catch_sigint():
+            old_handler = signal.signal(
+                signal.SIGINT,
+                lambda sig, frame: ioloop.add_callback_from_signal(shutdown))
+            try:
+                yield
+            finally:
+                signal.signal(signal.SIGINT, old_handler)
+
+        # Set the flag to True *before* blocking on ioloop.start()
+        cls.started = True
+
+        print("Press Ctrl+C to stop WebAgg server")
+        sys.stdout.flush()
+        with catch_sigint():
+            ioloop.start()
+
 
 def ipython_inline_display(figure):
     import tornado.template
 
     WebAggApplication.initialize()
-    if not webagg_server_thread.is_alive():
-        webagg_server_thread.start()
-
-    with open(os.path.join(
-            core.FigureManagerWebAgg.get_static_file_path(),
-            'ipython_inline_figure.html')) as fd:
-        tpl = fd.read()
+    import asyncio
+    try:
+        asyncio.get_running_loop()
+    except RuntimeError:
+        if not webagg_server_thread.is_alive():
+            webagg_server_thread.start()
 
     fignum = figure.number
-
+    tpl = Path(core.FigureManagerWebAgg.get_static_file_path(),
+               "ipython_inline_figure.html").read_text()
     t = tornado.template.Template(tpl)
     return t.generate(
         prefix=WebAggApplication.url_prefix,
@@ -368,4 +322,7 @@ def ipython_inline_display(figure):
         port=WebAggApplication.port).decode('utf-8')
 
 
-FigureCanvas = FigureCanvasWebAgg
+@_Backend.export
+class _BackendWebAgg(_Backend):
+    FigureCanvas = FigureCanvasWebAgg
+    FigureManager = FigureManagerWebAgg
diff --git a/lib/matplotlib/backends/backend_webagg_core.py b/lib/matplotlib/backends/backend_webagg_core.py
index ceb43ba32808..33490ff66dc5 100644
--- a/lib/matplotlib/backends/backend_webagg_core.py
+++ b/lib/matplotlib/backends/backend_webagg_core.py
@@ -1,6 +1,4 @@
-"""
-Displays Agg images in the browser, with interactivity
-"""
+"""Displays Agg images in the browser, with interactivity."""
 # The WebAgg backend is divided into two modules:
 #
 # - `backend_webagg_core.py` contains code necessary to embed a WebAgg
@@ -8,68 +6,177 @@
 #   way over a web socket.
 #
 # - `backend_webagg.py` contains a concrete implementation of a basic
-#   application, implemented with tornado.
+#   application, implemented with asyncio.
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import io
+import asyncio
+import datetime
+from io import BytesIO, StringIO
 import json
+import logging
 import os
-import time
+from pathlib import Path
 
 import numpy as np
+from PIL import Image
 
+from matplotlib import _api, backend_bases, backend_tools
 from matplotlib.backends import backend_agg
-from matplotlib.figure import Figure
-from matplotlib import backend_bases
-from matplotlib import _png
+from matplotlib.backend_bases import (
+    _Backend, MouseButton, KeyEvent, LocationEvent, MouseEvent, ResizeEvent)
+
+_log = logging.getLogger(__name__)
+
+_SPECIAL_KEYS_LUT = {'Alt': 'alt',
+                     'AltGraph': 'alt',
+                     'CapsLock': 'caps_lock',
+                     'Control': 'control',
+                     'Meta': 'meta',
+                     'NumLock': 'num_lock',
+                     'ScrollLock': 'scroll_lock',
+                     'Shift': 'shift',
+                     'Super': 'super',
+                     'Enter': 'enter',
+                     'Tab': 'tab',
+                     'ArrowDown': 'down',
+                     'ArrowLeft': 'left',
+                     'ArrowRight': 'right',
+                     'ArrowUp': 'up',
+                     'End': 'end',
+                     'Home': 'home',
+                     'PageDown': 'pagedown',
+                     'PageUp': 'pageup',
+                     'Backspace': 'backspace',
+                     'Delete': 'delete',
+                     'Insert': 'insert',
+                     'Escape': 'escape',
+                     'Pause': 'pause',
+                     'Select': 'select',
+                     'Dead': 'dead',
+                     'F1': 'f1',
+                     'F2': 'f2',
+                     'F3': 'f3',
+                     'F4': 'f4',
+                     'F5': 'f5',
+                     'F6': 'f6',
+                     'F7': 'f7',
+                     'F8': 'f8',
+                     'F9': 'f9',
+                     'F10': 'f10',
+                     'F11': 'f11',
+                     'F12': 'f12'}
+
+
+def _handle_key(key):
+    """Handle key values"""
+    value = key[key.index('k') + 1:]
+    if 'shift+' in key:
+        if len(value) == 1:
+            key = key.replace('shift+', '')
+    if value in _SPECIAL_KEYS_LUT:
+        value = _SPECIAL_KEYS_LUT[value]
+    key = key[:key.index('k')] + value
+    return key
+
+
+class TimerTornado(backend_bases.TimerBase):
+    def __init__(self, *args, **kwargs):
+        self._timer = None
+        super().__init__(*args, **kwargs)
+
+    def _timer_start(self):
+        import tornado
+
+        self._timer_stop()
+        if self._single:
+            ioloop = tornado.ioloop.IOLoop.instance()
+            self._timer = ioloop.add_timeout(
+                datetime.timedelta(milliseconds=self.interval),
+                self._on_timer)
+        else:
+            self._timer = tornado.ioloop.PeriodicCallback(
+                self._on_timer,
+                max(self.interval, 1e-6))
+            self._timer.start()
+
+    def _timer_stop(self):
+        import tornado
+
+        if self._timer is None:
+            return
+        elif self._single:
+            ioloop = tornado.ioloop.IOLoop.instance()
+            ioloop.remove_timeout(self._timer)
+        else:
+            self._timer.stop()
+        self._timer = None
+
+    def _timer_set_interval(self):
+        # Only stop and restart it if the timer has already been started
+        if self._timer is not None:
+            self._timer_stop()
+            self._timer_start()
+
 
+class TimerAsyncio(backend_bases.TimerBase):
+    def __init__(self, *args, **kwargs):
+        self._task = None
+        super().__init__(*args, **kwargs)
+
+    async def _timer_task(self, interval):
+        while True:
+            try:
+                await asyncio.sleep(interval)
+                self._on_timer()
+
+                if self._single:
+                    break
+            except asyncio.CancelledError:
+                break
+
+    def _timer_start(self):
+        self._timer_stop()
 
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
+        self._task = asyncio.ensure_future(
+            self._timer_task(max(self.interval / 1_000., 1e-6))
+        )
 
+    def _timer_stop(self):
+        if self._task is not None:
+            self._task.cancel()
+        self._task = None
 
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    canvas = FigureCanvasWebAggCore(figure)
-    manager = FigureManagerWebAgg(canvas, num)
-    return manager
+    def _timer_set_interval(self):
+        # Only stop and restart it if the timer has already been started
+        if self._task is not None:
+            self._timer_stop()
+            self._timer_start()
 
 
 class FigureCanvasWebAggCore(backend_agg.FigureCanvasAgg):
+    manager_class = _api.classproperty(lambda cls: FigureManagerWebAgg)
+    _timer_cls = TimerAsyncio
+    # Webagg and friends having the right methods, but still
+    # having bugs in practice.  Do not advertise that it works until
+    # we can debug this.
     supports_blit = False
 
     def __init__(self, *args, **kwargs):
-        backend_agg.FigureCanvasAgg.__init__(self, *args, **kwargs)
-
-        # A buffer to hold the PNG data for the last frame.  This is
-        # retained so it can be resent to each client without
-        # regenerating it.
-        self._png_buffer = io.BytesIO()
-
+        super().__init__(*args, **kwargs)
         # Set to True when the renderer contains data that is newer
         # than the PNG buffer.
         self._png_is_old = True
-
         # Set to True by the `refresh` message so that the next frame
         # sent to the clients will be a full frame.
         self._force_full = True
-
+        # The last buffer, for diff mode.
+        self._last_buff = np.empty((0, 0))
         # Store the current image mode so that at any point, clients can
         # request the information. This should be changed by calling
         # self.set_image_mode(mode) so that the notification can be given
         # to the connected clients.
         self._current_image_mode = 'full'
+        # Track mouse events to fill in the x, y position of key events.
+        self._last_mouse_xy = (None, None)
 
     def show(self):
         # show the figure window
@@ -77,21 +184,32 @@ def show(self):
         show()
 
     def draw(self):
-        renderer = self.get_renderer(cleared=True)
-
         self._png_is_old = True
-
-        backend_agg.RendererAgg.lock.acquire()
         try:
-            self.figure.draw(renderer)
+            super().draw()
         finally:
-            backend_agg.RendererAgg.lock.release()
-            # Swap the frames
-            self.manager.refresh_all()
+            self.manager.refresh_all()  # Swap the frames.
+
+    def blit(self, bbox=None):
+        self._png_is_old = True
+        self.manager.refresh_all()
 
     def draw_idle(self):
         self.send_event("draw")
 
+    def set_cursor(self, cursor):
+        # docstring inherited
+        cursor = _api.check_getitem({
+            backend_tools.Cursors.HAND: 'pointer',
+            backend_tools.Cursors.POINTER: 'default',
+            backend_tools.Cursors.SELECT_REGION: 'crosshair',
+            backend_tools.Cursors.MOVE: 'move',
+            backend_tools.Cursors.WAIT: 'wait',
+            backend_tools.Cursors.RESIZE_HORIZONTAL: 'ew-resize',
+            backend_tools.Cursors.RESIZE_VERTICAL: 'ns-resize',
+        }, cursor=cursor)
+        self.send_event('cursor', cursor=cursor)
+
     def set_image_mode(self, mode):
         """
         Set the image mode for any subsequent images which will be sent
@@ -100,10 +218,8 @@ def set_image_mode(self, mode):
         Note: diff images may not contain transparency, therefore upon
         draw this mode may be changed if the resulting image has any
         transparent component.
-
         """
-        if mode not in ['full', 'diff']:
-            raise ValueError('image mode must be either full or diff.')
+        _api.check_in_list(['full', 'diff'], mode=mode)
         if self._current_image_mode != mode:
             self._current_image_mode = mode
             self.handle_send_image_mode(None)
@@ -112,246 +228,241 @@ def get_diff_image(self):
         if self._png_is_old:
             renderer = self.get_renderer()
 
+            pixels = np.asarray(renderer.buffer_rgba())
             # The buffer is created as type uint32 so that entire
             # pixels can be compared in one numpy call, rather than
             # needing to compare each plane separately.
-            buff = np.frombuffer(renderer.buffer_rgba(), dtype=np.uint32)
-            buff.shape = (renderer.height, renderer.width)
-
-            # If any pixels have transparency, we need to force a full
-            # draw as we cannot overlay new on top of old.
-            pixels = buff.view(dtype=np.uint8).reshape(buff.shape + (4,))
-
-            if self._force_full or np.any(pixels[:, :, 3] != 255):
+            buff = pixels.view(np.uint32).squeeze(2)
+
+            if (self._force_full
+                    # If the buffer has changed size we need to do a full draw.
+                    or buff.shape != self._last_buff.shape
+                    # If any pixels have transparency, we need to force a full
+                    # draw as we cannot overlay new on top of old.
+                    or (pixels[:, :, 3] != 255).any()):
                 self.set_image_mode('full')
                 output = buff
             else:
                 self.set_image_mode('diff')
-                last_buffer = np.frombuffer(self._last_renderer.buffer_rgba(),
-                                            dtype=np.uint32)
-                last_buffer.shape = (renderer.height, renderer.width)
-
-                diff = buff != last_buffer
+                diff = buff != self._last_buff
                 output = np.where(diff, buff, 0)
 
-            # Clear out the PNG data buffer rather than recreating it
-            # each time.  This reduces the number of memory
-            # (de)allocations.
-            self._png_buffer.truncate()
-            self._png_buffer.seek(0)
-
-            # TODO: We should write a new version of write_png that
-            # handles the differencing inline
-            _png.write_png(
-                output.view(dtype=np.uint8).reshape(output.shape + (4,)),
-                self._png_buffer)
-
-            # Swap the renderer frames
-            self._renderer, self._last_renderer = (
-                self._last_renderer, renderer)
+            # Store the current buffer so we can compute the next diff.
+            self._last_buff = buff.copy()
             self._force_full = False
             self._png_is_old = False
-        return self._png_buffer.getvalue()
-
-    def get_renderer(self, cleared=None):
-        # Mirrors super.get_renderer, but caches the old one
-        # so that we can do things such as produce a diff image
-        # in get_diff_image
-        _, _, w, h = self.figure.bbox.bounds
-        key = w, h, self.figure.dpi
-        try:
-            self._lastKey, self._renderer
-        except AttributeError:
-            need_new_renderer = True
-        else:
-            need_new_renderer = (self._lastKey != key)
 
-        if need_new_renderer:
-            self._renderer = backend_agg.RendererAgg(
-                w, h, self.figure.dpi)
-            self._last_renderer = backend_agg.RendererAgg(
-                w, h, self.figure.dpi)
-            self._lastKey = key
+            data = output.view(dtype=np.uint8).reshape((*output.shape, 4))
+            with BytesIO() as png:
+                Image.fromarray(data).save(png, format="png")
+                return png.getvalue()
 
-        elif cleared:
-            self._renderer.clear()
+    def handle_event(self, event):
+        e_type = event['type']
+        handler = getattr(self, f'handle_{e_type}',
+                          self.handle_unknown_event)
+        return handler(event)
+
+    def handle_unknown_event(self, event):
+        _log.warning('Unhandled message type %s. %s', event["type"], event)
+
+    def handle_ack(self, event):
+        # Network latency tends to decrease if traffic is flowing
+        # in both directions.  Therefore, the browser sends back
+        # an "ack" message after each image frame is received.
+        # This could also be used as a simple sanity check in the
+        # future, but for now the performance increase is enough
+        # to justify it, even if the server does nothing with it.
+        pass
 
-        return self._renderer
+    def handle_draw(self, event):
+        self.draw()
 
-    def handle_event(self, event):
+    def _handle_mouse(self, event):
+        x = event['x']
+        y = event['y']
+        y = self.get_renderer().height - y
+        self._last_mouse_xy = x, y
         e_type = event['type']
-        if e_type == 'ack':
-            # Network latency tends to decrease if traffic is flowing
-            # in both directions.  Therefore, the browser sends back
-            # an "ack" message after each image frame is received.
-            # This could also be used as a simple sanity check in the
-            # future, but for now the performance increase is enough
-            # to justify it, even if the server does nothing with it.
-            pass
-        elif e_type == 'draw':
-            self.draw()
-        elif e_type in ('button_press', 'button_release', 'motion_notify'):
-            x = event['x']
-            y = event['y']
-            y = self.get_renderer().height - y
-
-            # Javascript button numbers and matplotlib button numbers are
-            # off by 1
-            button = event['button'] + 1
-
-            # The right mouse button pops up a context menu, which
-            # doesn't work very well, so use the middle mouse button
-            # instead.  It doesn't seem that it's possible to disable
-            # the context menu in recent versions of Chrome.
-            if button == 2:
-                button = 3
-
-            if e_type == 'button_press':
-                self.button_press_event(x, y, button)
-            elif e_type == 'button_release':
-                self.button_release_event(x, y, button)
-            elif e_type == 'motion_notify':
-                self.motion_notify_event(x, y)
-        elif e_type in ('key_press', 'key_release'):
-            key = event['key']
-
-            if e_type == 'key_press':
-                self.key_press_event(key)
-            elif e_type == 'key_release':
-                self.key_release_event(key)
-        elif e_type == 'toolbar_button':
-            # TODO: Be more suspicious of the input
-            getattr(self.toolbar, event['name'])()
-        elif e_type == 'refresh':
-            figure_label = self.figure.get_label()
-            if not figure_label:
-                figure_label = "Figure {0}".format(self.manager.num)
-            self.send_event('figure_label', label=figure_label)
-            self._force_full = True
-            self.draw_idle()
-        else:
-            handler = getattr(self, 'handle_{}'.format(e_type), None)
-            if handler is None:
-                import warnings
-                warnings.warn('Unhandled message type {}. {}'.format(
-                                                        e_type, event))
-            else:
-                return handler(event)
+        button = event['button'] + 1  # JS numbers off by 1 compared to mpl.
+        buttons = {  # JS ordering different compared to mpl.
+            button for button, mask in [
+                (MouseButton.LEFT, 1),
+                (MouseButton.RIGHT, 2),
+                (MouseButton.MIDDLE, 4),
+                (MouseButton.BACK, 8),
+                (MouseButton.FORWARD, 16),
+            ] if event['buttons'] & mask  # State *after* press/release.
+        }
+        modifiers = event['modifiers']
+        guiEvent = event.get('guiEvent')
+        if e_type in ['button_press', 'button_release']:
+            MouseEvent(e_type + '_event', self, x, y, button,
+                       modifiers=modifiers, guiEvent=guiEvent)._process()
+        elif e_type == 'dblclick':
+            MouseEvent('button_press_event', self, x, y, button, dblclick=True,
+                       modifiers=modifiers, guiEvent=guiEvent)._process()
+        elif e_type == 'scroll':
+            MouseEvent('scroll_event', self, x, y, step=event['step'],
+                       modifiers=modifiers, guiEvent=guiEvent)._process()
+        elif e_type == 'motion_notify':
+            MouseEvent(e_type + '_event', self, x, y,
+                       buttons=buttons, modifiers=modifiers, guiEvent=guiEvent,
+                       )._process()
+        elif e_type in ['figure_enter', 'figure_leave']:
+            LocationEvent(e_type + '_event', self, x, y,
+                          modifiers=modifiers, guiEvent=guiEvent)._process()
+
+    handle_button_press = handle_button_release = handle_dblclick = \
+        handle_figure_enter = handle_figure_leave = handle_motion_notify = \
+        handle_scroll = _handle_mouse
+
+    def _handle_key(self, event):
+        KeyEvent(event['type'] + '_event', self,
+                 _handle_key(event['key']), *self._last_mouse_xy,
+                 guiEvent=event.get('guiEvent'))._process()
+    handle_key_press = handle_key_release = _handle_key
+
+    def handle_toolbar_button(self, event):
+        # TODO: Be more suspicious of the input
+        getattr(self.toolbar, event['name'])()
+
+    def handle_refresh(self, event):
+        if self.manager:
+            self.send_event('figure_label', label=self.manager.get_window_title())
+        self._force_full = True
+        if self.toolbar:
+            # Normal toolbar init would refresh this, but it happens before the
+            # browser canvas is set up.
+            self.toolbar.set_history_buttons()
+        self.draw_idle()
 
     def handle_resize(self, event):
-        x, y = event.get('width', 800), event.get('height', 800)
-        x, y = int(x), int(y)
+        x = int(event.get('width', 800)) * self.device_pixel_ratio
+        y = int(event.get('height', 800)) * self.device_pixel_ratio
         fig = self.figure
         # An attempt at approximating the figure size in pixels.
-        fig.set_size_inches(x / fig.dpi, y / fig.dpi)
-
-        _, _, w, h = self.figure.bbox.bounds
+        fig.set_size_inches(x / fig.dpi, y / fig.dpi, forward=False)
         # Acknowledge the resize, and force the viewer to update the
         # canvas size to the figure's new size (which is hopefully
         # identical or within a pixel or so).
         self._png_is_old = True
-        self.manager.resize(w, h)
+        self.manager.resize(*fig.bbox.size, forward=False)
+        ResizeEvent('resize_event', self)._process()
+        self.draw_idle()
 
     def handle_send_image_mode(self, event):
         # The client requests notification of what the current image mode is.
         self.send_event('image_mode', mode=self._current_image_mode)
 
+    def handle_set_device_pixel_ratio(self, event):
+        self._handle_set_device_pixel_ratio(event.get('device_pixel_ratio', 1))
+
+    def handle_set_dpi_ratio(self, event):
+        # This handler is for backwards-compatibility with older ipympl.
+        self._handle_set_device_pixel_ratio(event.get('dpi_ratio', 1))
+
+    def _handle_set_device_pixel_ratio(self, device_pixel_ratio):
+        if self._set_device_pixel_ratio(device_pixel_ratio):
+            self._force_full = True
+            self.draw_idle()
+
     def send_event(self, event_type, **kwargs):
-        self.manager._send_event(event_type, **kwargs)
-
-    def start_event_loop(self, timeout):
-        backend_bases.FigureCanvasBase.start_event_loop_default(
-            self, timeout)
-    start_event_loop.__doc__ = \
-        backend_bases.FigureCanvasBase.start_event_loop_default.__doc__
-
-    def stop_event_loop(self):
-        backend_bases.FigureCanvasBase.stop_event_loop_default(self)
-    stop_event_loop.__doc__ = \
-        backend_bases.FigureCanvasBase.stop_event_loop_default.__doc__
-
-
-_JQUERY_ICON_CLASSES = {
-    'home': 'ui-icon ui-icon-home',
-    'back': 'ui-icon ui-icon-circle-arrow-w',
-    'forward': 'ui-icon ui-icon-circle-arrow-e',
-    'zoom_to_rect': 'ui-icon ui-icon-search',
-    'move': 'ui-icon ui-icon-arrow-4',
-    'download': 'ui-icon ui-icon-disk',
-    None: None,
+        if self.manager:
+            self.manager._send_event(event_type, **kwargs)
+
+
+_ALLOWED_TOOL_ITEMS = {
+    'home',
+    'back',
+    'forward',
+    'pan',
+    'zoom',
+    'download',
+    None,
 }
 
 
 class NavigationToolbar2WebAgg(backend_bases.NavigationToolbar2):
 
     # Use the standard toolbar items + download button
-    toolitems = [(text, tooltip_text, _JQUERY_ICON_CLASSES[image_file],
-                  name_of_method)
-                 for text, tooltip_text, image_file, name_of_method
-                 in (backend_bases.NavigationToolbar2.toolitems +
-                     (('Download', 'Download plot', 'download', 'download'),))
-                 if image_file in _JQUERY_ICON_CLASSES]
-
-    def _init_toolbar(self):
+    toolitems = [
+        (text, tooltip_text, image_file, name_of_method)
+        for text, tooltip_text, image_file, name_of_method
+        in (*backend_bases.NavigationToolbar2.toolitems,
+            ('Download', 'Download plot', 'filesave', 'download'))
+        if name_of_method in _ALLOWED_TOOL_ITEMS
+    ]
+
+    def __init__(self, canvas):
         self.message = ''
-        self.cursor = 0
+        super().__init__(canvas)
 
     def set_message(self, message):
         if message != self.message:
             self.canvas.send_event("message", message=message)
         self.message = message
 
-    def set_cursor(self, cursor):
-        if cursor != self.cursor:
-            self.canvas.send_event("cursor", cursor=cursor)
-        self.cursor = cursor
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        self.canvas.send_event("rubberband", x0=x0, y0=y0, x1=x1, y1=y1)
 
-    def dynamic_update(self):
-        self.canvas.draw_idle()
+    def remove_rubberband(self):
+        self.canvas.send_event("rubberband", x0=-1, y0=-1, x1=-1, y1=-1)
 
-    def draw_rubberband(self, event, x0, y0, x1, y1):
-        self.canvas.send_event(
-            "rubberband", x0=x0, y0=y0, x1=x1, y1=y1)
+    def save_figure(self, *args):
+        """Save the current figure."""
+        self.canvas.send_event('save')
+        return self.UNKNOWN_SAVED_STATUS
+
+    def pan(self):
+        super().pan()
+        self.canvas.send_event('navigate_mode', mode=self.mode.name)
 
-    def release_zoom(self, event):
-        backend_bases.NavigationToolbar2.release_zoom(self, event)
-        self.canvas.send_event(
-            "rubberband", x0=-1, y0=-1, x1=-1, y1=-1)
+    def zoom(self):
+        super().zoom()
+        self.canvas.send_event('navigate_mode', mode=self.mode.name)
+
+    def set_history_buttons(self):
+        can_backward = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        self.canvas.send_event('history_buttons',
+                               Back=can_backward, Forward=can_forward)
 
 
 class FigureManagerWebAgg(backend_bases.FigureManagerBase):
+    # This must be None to not break ipympl
+    _toolbar2_class = None
     ToolbarCls = NavigationToolbar2WebAgg
+    _window_title = "Matplotlib"
 
     def __init__(self, canvas, num):
-        backend_bases.FigureManagerBase.__init__(self, canvas, num)
-
         self.web_sockets = set()
-
-        self.toolbar = self._get_toolbar(canvas)
+        super().__init__(canvas, num)
 
     def show(self):
         pass
 
-    def _get_toolbar(self, canvas):
-        toolbar = self.ToolbarCls(canvas)
-        return toolbar
-
-    def resize(self, w, h):
-        self._send_event('resize', size=(w, h))
+    def resize(self, w, h, forward=True):
+        self._send_event(
+            'resize',
+            size=(w / self.canvas.device_pixel_ratio,
+                  h / self.canvas.device_pixel_ratio),
+            forward=forward)
 
     def set_window_title(self, title):
         self._send_event('figure_label', label=title)
+        self._window_title = title
+
+    def get_window_title(self):
+        return self._window_title
 
     # The following methods are specific to FigureManagerWebAgg
 
     def add_web_socket(self, web_socket):
         assert hasattr(web_socket, 'send_binary')
         assert hasattr(web_socket, 'send_json')
-
         self.web_sockets.add(web_socket)
-
-        _, _, w, h = self.canvas.figure.bbox.bounds
-        self.resize(w, h)
+        self.resize(*self.canvas.figure.bbox.size)
         self._send_event('refresh')
 
     def remove_web_socket(self, web_socket):
@@ -363,21 +474,19 @@ def handle_json(self, content):
     def refresh_all(self):
         if self.web_sockets:
             diff = self.canvas.get_diff_image()
-            for s in self.web_sockets:
-                s.send_binary(diff)
+            if diff is not None:
+                for s in self.web_sockets:
+                    s.send_binary(diff)
 
     @classmethod
     def get_javascript(cls, stream=None):
         if stream is None:
-            output = io.StringIO()
+            output = StringIO()
         else:
             output = stream
 
-        with io.open(os.path.join(
-                os.path.dirname(__file__),
-                "web_backend",
-                "mpl.js"), encoding='utf8') as fd:
-            output.write(fd.read())
+        output.write((Path(__file__).parent / "web_backend/js/mpl.js")
+                     .read_text(encoding="utf-8"))
 
         toolitems = []
         for name, tooltip, image, method in cls.ToolbarCls.toolitems:
@@ -385,18 +494,16 @@ def get_javascript(cls, stream=None):
                 toolitems.append(['', '', '', ''])
             else:
                 toolitems.append([name, tooltip, image, method])
-        output.write("mpl.toolbar_items = {0};\n\n".format(
-            json.dumps(toolitems)))
+        output.write(f"mpl.toolbar_items = {json.dumps(toolitems)};\n\n")
 
         extensions = []
         for filetype, ext in sorted(FigureCanvasWebAggCore.
                                     get_supported_filetypes_grouped().
                                     items()):
             extensions.append(ext[0])
-        output.write("mpl.extensions = {0};\n\n".format(
-            json.dumps(extensions)))
+        output.write(f"mpl.extensions = {json.dumps(extensions)};\n\n")
 
-        output.write("mpl.default_extension = {0};".format(
+        output.write("mpl.default_extension = {};".format(
             json.dumps(FigureCanvasWebAggCore.get_default_filetype())))
 
         if stream is None:
@@ -407,7 +514,12 @@ def get_static_file_path(cls):
         return os.path.join(os.path.dirname(__file__), 'web_backend')
 
     def _send_event(self, event_type, **kwargs):
-        payload = {'type': event_type}
-        payload.update(kwargs)
+        payload = {'type': event_type, **kwargs}
         for s in self.web_sockets:
             s.send_json(payload)
+
+
+@_Backend.export
+class _BackendWebAggCoreAgg(_Backend):
+    FigureCanvas = FigureCanvasWebAggCore
+    FigureManager = FigureManagerWebAgg
diff --git a/lib/matplotlib/backends/backend_wx.py b/lib/matplotlib/backends/backend_wx.py
index a525fa1c5072..f83a69d8361e 100644
--- a/lib/matplotlib/backends/backend_wx.py
+++ b/lib/matplotlib/backends/backend_wx.py
@@ -1,200 +1,63 @@
 """
- A wxPython backend for matplotlib, based (very heavily) on
- backend_template.py and backend_gtk.py
+A wxPython backend for matplotlib.
 
- Author: Jeremy O'Donoghue (jeremy@o-donoghue.com)
-
- Derived from original copyright work by John Hunter
- (jdhunter@ace.bsd.uchicago.edu)
-
- Copyright (C) Jeremy O'Donoghue & John Hunter, 2003-4
-
- License: This work is licensed under a PSF compatible license. A copy
- should be included with this source code.
+Originally contributed by Jeremy O'Donoghue (jeremy@o-donoghue.com) and John
+Hunter (jdhunter@ace.bsd.uchicago.edu).
 
+Copyright (C) Jeremy O'Donoghue & John Hunter, 2003-4.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import xrange
-
-import sys
-import os
-import os.path
+import functools
+import logging
 import math
+import pathlib
+import sys
 import weakref
-import warnings
 
 import numpy as np
+import PIL.Image
 
-from matplotlib.cbook import mplDeprecation
-
-# Debugging settings here...
-# Debug level set here. If the debug level is less than 5, information
-# messages (progressively more info for lower value) are printed. In addition,
-# traceback is performed, and pdb activated, for all uncaught exceptions in
-# this case
-_DEBUG = 5
-if _DEBUG < 5:
-    import traceback, pdb
-_DEBUG_lvls = {1 : 'Low ', 2 : 'Med ', 3 : 'High', 4 : 'Error' }
-
-if six.PY3:
-    warnings.warn(
-        "The wx and wxagg backends have not been tested with Python 3.x",
-        ImportWarning)
-
-missingwx = "Matplotlib backend_wx and backend_wxagg require wxPython >=2.8"
-missingwxversion = ("Matplotlib backend_wx and backend_wxagg "
-                    "require wxversion, which was not found.")
-
-if not hasattr(sys, 'frozen'): # i.e., not py2exe
-    try:
-        import wxversion
-    except ImportError:
-        raise ImportError(missingwxversion)
-
-    # Some early versions of wxversion lack AlreadyImportedError.
-    # It was added around 2.8.4?
-    try:
-        _wx_ensure_failed = wxversion.AlreadyImportedError
-    except AttributeError:
-        _wx_ensure_failed = wxversion.VersionError
-
-    try:
-        wxversion.ensureMinimal(str('2.8'))
-    except _wx_ensure_failed:
-        pass
-    # We don't really want to pass in case of VersionError, but when
-    # AlreadyImportedError is not available, we have to.
-
-try:
-    import wx
-    backend_version = wx.VERSION_STRING
-except ImportError:
-    raise ImportError(missingwx)
-
-# Extra version check in case wxversion lacks AlreadyImportedError;
-# then VersionError might have been raised and ignored when
-# there really *is* a problem with the version.
-major, minor = [int(n) for n in backend_version.split('.')[:2]]
-if major < 2 or (major < 3 and minor < 8):
-    print(" wxPython version %s was imported." % backend_version)
-    raise ImportError(missingwx)
-
-
-#!!! this is the call that is causing the exception swallowing !!!
-#wx.InitAllImageHandlers()
-
-def DEBUG_MSG(string, lvl=3, o=None):
-    if lvl >= _DEBUG:
-        cls = o.__class__
-        # Jeremy, often times the commented line won't print but the
-        # one below does.  I think WX is redefining stderr, damned
-        # beast
-        #print >>sys.stderr, "%s- %s in %s" % (_DEBUG_lvls[lvl], string, cls)
-        print("%s- %s in %s" % (_DEBUG_lvls[lvl], string, cls))
-
-def debug_on_error(type, value, tb):
-    """Code due to Thomas Heller - published in Python Cookbook (O'Reilley)"""
-    traceback.print_exc(type, value, tb)
-    print()
-    pdb.pm()  # jdh uncomment
-
-class fake_stderr(object):
-    """Wx does strange things with stderr, as it makes the assumption that there
-    is probably no console. This redirects stderr to the console, since we know
-    that there is one!"""
-    def write(self, msg):
-        print("Stderr: %s\n\r" % msg)
-
-#if _DEBUG < 5:
-#    sys.excepthook = debug_on_error
-#    WxLogger =wx.LogStderr()
-#    sys.stderr = fake_stderr
-
-# Event binding code changed after version 2.5
-if wx.VERSION_STRING >= '2.5':
-    def bind(actor,event,action,**kw):
-        actor.Bind(event,action,**kw)
-else:
-    def bind(actor,event,action,id=None):
-        if id is not None:
-            event(actor, id, action)
-        else:
-            event(actor,action)
-
-import matplotlib
-from matplotlib import verbose
-from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
-     FigureCanvasBase, FigureManagerBase, NavigationToolbar2, \
-     cursors, TimerBase
-from matplotlib.backend_bases import ShowBase
-from matplotlib.backend_bases import _has_pil
+import matplotlib as mpl
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase,
+    GraphicsContextBase, MouseButton, NavigationToolbar2, RendererBase,
+    TimerBase, ToolContainerBase, cursors,
+    CloseEvent, KeyEvent, LocationEvent, MouseEvent, ResizeEvent)
 
+from matplotlib import _api, cbook, backend_tools, _c_internal_utils
 from matplotlib._pylab_helpers import Gcf
-from matplotlib.artist import Artist
-from matplotlib.cbook import exception_to_str, is_string_like, is_writable_file_like
-from matplotlib.figure import Figure
 from matplotlib.path import Path
-from matplotlib.text import _process_text_args, Text
 from matplotlib.transforms import Affine2D
-from matplotlib.widgets import SubplotTool
-from matplotlib import rcParams
 
-# the True dots per inch on the screen; should be display dependent
-# see http://groups.google.com/groups?q=screen+dpi+x11&hl=en&lr=&ie=UTF-8&oe=UTF-8&safe=off&selm=7077.26e81ad5%40swift.cs.tcd.ie&rnum=5 for some info about screen dpi
-PIXELS_PER_INCH = 75
+import wx
+import wx.svg
 
-# Delay time for idle checks
-IDLE_DELAY = 5
+_log = logging.getLogger(__name__)
+
+# the True dots per inch on the screen; should be display dependent; see
+# http://groups.google.com/d/msg/comp.lang.postscript/-/omHAc9FEuAsJ?hl=en
+# for some info about screen dpi
+PIXELS_PER_INCH = 75
 
-def error_msg_wx(msg, parent=None):
-    """
-    Signal an error condition -- in a GUI, popup a error dialog
-    """
-    dialog =wx.MessageDialog(parent  = parent,
-                             message = msg,
-                             caption = 'Matplotlib backend_wx error',
-                             style=wx.OK | wx.CENTRE)
-    dialog.ShowModal()
-    dialog.Destroy()
-    return None
 
-def raise_msg_to_str(msg):
-    """msg is a return arg from a raise.  Join with new lines"""
-    if not is_string_like(msg):
-        msg = '\n'.join(map(str, msg))
-    return msg
+# lru_cache holds a reference to the App and prevents it from being gc'ed.
+@functools.lru_cache(1)
+def _create_wxapp():
+    wxapp = wx.App(False)
+    wxapp.SetExitOnFrameDelete(True)
+    cbook._setup_new_guiapp()
+    # Set per-process DPI awareness. This is a NoOp except in MSW
+    _c_internal_utils.Win32_SetProcessDpiAwareness_max()
+    return wxapp
 
 
 class TimerWx(TimerBase):
-    '''
-    Subclass of :class:`backend_bases.TimerBase` that uses WxTimer events.
-
-    Attributes:
-    * interval: The time between timer events in milliseconds. Default
-        is 1000 ms.
-    * single_shot: Boolean flag indicating whether this timer should
-        operate as single shot (run once and then stop). Defaults to False.
-    * callbacks: Stores list of (func, args) tuples that will be called
-        upon timer events. This list can be manipulated directly, or the
-        functions add_callback and remove_callback can be used.
-    '''
-    def __init__(self, parent, *args, **kwargs):
-        TimerBase.__init__(self, *args, **kwargs)
-
-        # Create a new timer and connect the timer event to our handler.
-        # For WX, the events have to use a widget for binding.
-        self.parent = parent
-        self._timer = wx.Timer(self.parent, wx.NewId())
-        self.parent.Bind(wx.EVT_TIMER, self._on_timer, self._timer)
-
-     # Unbinding causes Wx to stop for some reason. Disabling for now.
-#    def __del__(self):
-#        TimerBase.__del__(self)
-#        self.parent.Bind(wx.EVT_TIMER, None, self._timer)
+    """Subclass of `.TimerBase` using wx.Timer events."""
+
+    def __init__(self, *args, **kwargs):
+        self._timer = wx.Timer()
+        self._timer.Notify = self._on_timer
+        super().__init__(*args, **kwargs)
 
     def _timer_start(self):
         self._timer.Start(self._interval, self._single)
@@ -203,75 +66,71 @@ def _timer_stop(self):
         self._timer.Stop()
 
     def _timer_set_interval(self):
-        self._timer_start()
-
-    def _timer_set_single_shot(self):
-        self._timer.Start()
-
-    def _on_timer(self, *args):
-        TimerBase._on_timer(self)
+        if self._timer.IsRunning():
+            self._timer_start()  # Restart with new interval.
 
 
+@_api.deprecated(
+    "2.0", name="wx", obj_type="backend", removal="the future",
+    alternative="wxagg",
+    addendum="See the Matplotlib usage FAQ for more info on backends.")
 class RendererWx(RendererBase):
     """
     The renderer handles all the drawing primitives using a graphics
     context instance that controls the colors/styles. It acts as the
     'renderer' instance used by many classes in the hierarchy.
     """
-    #In wxPython, drawing is performed on a wxDC instance, which will
-    #generally be mapped to the client aread of the window displaying
-    #the plot. Under wxPython, the wxDC instance has a wx.Pen which
-    #describes the colour and weight of any lines drawn, and a wxBrush
-    #which describes the fill colour of any closed polygon.
-
+    # In wxPython, drawing is performed on a wxDC instance, which will
+    # generally be mapped to the client area of the window displaying
+    # the plot. Under wxPython, the wxDC instance has a wx.Pen which
+    # describes the colour and weight of any lines drawn, and a wxBrush
+    # which describes the fill colour of any closed polygon.
 
+    # Font styles, families and weight.
     fontweights = {
-        100          : wx.LIGHT,
-        200          : wx.LIGHT,
-        300          : wx.LIGHT,
-        400          : wx.NORMAL,
-        500          : wx.NORMAL,
-        600          : wx.NORMAL,
-        700          : wx.BOLD,
-        800          : wx.BOLD,
-        900          : wx.BOLD,
-        'ultralight' : wx.LIGHT,
-        'light'      : wx.LIGHT,
-        'normal'     : wx.NORMAL,
-        'medium'     : wx.NORMAL,
-        'semibold'   : wx.NORMAL,
-        'bold'       : wx.BOLD,
-        'heavy'      : wx.BOLD,
-        'ultrabold'  : wx.BOLD,
-        'black'      : wx.BOLD
-        }
+        100: wx.FONTWEIGHT_LIGHT,
+        200: wx.FONTWEIGHT_LIGHT,
+        300: wx.FONTWEIGHT_LIGHT,
+        400: wx.FONTWEIGHT_NORMAL,
+        500: wx.FONTWEIGHT_NORMAL,
+        600: wx.FONTWEIGHT_NORMAL,
+        700: wx.FONTWEIGHT_BOLD,
+        800: wx.FONTWEIGHT_BOLD,
+        900: wx.FONTWEIGHT_BOLD,
+        'ultralight': wx.FONTWEIGHT_LIGHT,
+        'light': wx.FONTWEIGHT_LIGHT,
+        'normal': wx.FONTWEIGHT_NORMAL,
+        'medium': wx.FONTWEIGHT_NORMAL,
+        'semibold': wx.FONTWEIGHT_NORMAL,
+        'bold': wx.FONTWEIGHT_BOLD,
+        'heavy': wx.FONTWEIGHT_BOLD,
+        'ultrabold': wx.FONTWEIGHT_BOLD,
+        'black': wx.FONTWEIGHT_BOLD,
+    }
     fontangles = {
-        'italic'  : wx.ITALIC,
-        'normal'  : wx.NORMAL,
-        'oblique' : wx.SLANT }
-
-    # wxPython allows for portable font styles, choosing them appropriately
-    # for the target platform. Map some standard font names to the portable
-    # styles
-    # QUESTION: Is it be wise to agree standard fontnames across all backends?
-    fontnames = { 'Sans'       : wx.SWISS,
-                  'Roman'      : wx.ROMAN,
-                  'Script'     : wx.SCRIPT,
-                  'Decorative' : wx.DECORATIVE,
-                  'Modern'     : wx.MODERN,
-                  'Courier'    : wx.MODERN,
-                  'courier'    : wx.MODERN }
+        'italic': wx.FONTSTYLE_ITALIC,
+        'normal': wx.FONTSTYLE_NORMAL,
+        'oblique': wx.FONTSTYLE_SLANT,
+    }
 
+    # wxPython allows for portable font styles, choosing them appropriately for
+    # the target platform. Map some standard font names to the portable styles.
+    # QUESTION: Is it wise to agree to standard fontnames across all backends?
+    fontnames = {
+        'Sans': wx.FONTFAMILY_SWISS,
+        'Roman': wx.FONTFAMILY_ROMAN,
+        'Script': wx.FONTFAMILY_SCRIPT,
+        'Decorative': wx.FONTFAMILY_DECORATIVE,
+        'Modern': wx.FONTFAMILY_MODERN,
+        'Courier': wx.FONTFAMILY_MODERN,
+        'courier': wx.FONTFAMILY_MODERN,
+    }
 
     def __init__(self, bitmap, dpi):
-        """
-        Initialise a wxWindows renderer instance.
-        """
-        RendererBase.__init__(self)
-        DEBUG_MSG("__init__()", 1, self)
-        if wx.VERSION_STRING < "2.8":
-            raise RuntimeError("matplotlib no longer supports wxPython < 2.8 for the Wx backend.\nYou may, however, use the WxAgg backend.")
-        self.width  = bitmap.GetWidth()
+        """Initialise a wxWindows renderer instance."""
+        super().__init__()
+        _log.debug("%s - __init__()", type(self))
+        self.width = bitmap.GetWidth()
         self.height = bitmap.GetHeight()
         self.bitmap = bitmap
         self.fontd = {}
@@ -279,18 +138,14 @@ def __init__(self, bitmap, dpi):
         self.gc = None
 
     def flipy(self):
-        return True
-
-    def offset_text_height(self):
+        # docstring inherited
         return True
 
     def get_text_width_height_descent(self, s, prop, ismath):
-        """
-        get the width and height in display coords of the string s
-        with FontPropertry prop
-        """
-        #return 1, 1
-        if ismath: s = self.strip_math(s)
+        # docstring inherited
+
+        if ismath:
+            s = cbook.strip_math(s)
 
         if self.gc is None:
             gc = self.new_gc()
@@ -304,7 +159,7 @@ def get_text_width_height_descent(self, s, prop, ismath):
         return w, h, descent
 
     def get_canvas_width_height(self):
-        'return the canvas width and height in display coords'
+        # docstring inherited
         return self.width, self.height
 
     def handle_clip_rectangle(self, gc):
@@ -317,7 +172,8 @@ def handle_clip_rectangle(self, gc):
             if new_bounds is None:
                 gfx_ctx.ResetClip()
             else:
-                gfx_ctx.Clip(new_bounds[0], self.height - new_bounds[1] - new_bounds[3],
+                gfx_ctx.Clip(new_bounds[0],
+                             self.height - new_bounds[1] - new_bounds[3],
                              new_bounds[2], new_bounds[3])
 
     @staticmethod
@@ -337,10 +193,12 @@ def convert_path(gfx_ctx, path, transform):
         return wxpath
 
     def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
         gc.select()
         self.handle_clip_rectangle(gc)
         gfx_ctx = gc.gfx_ctx
-        transform = transform + Affine2D().scale(1.0, -1.0).translate(0.0, self.height)
+        transform = transform + \
+            Affine2D().scale(1.0, -1.0).translate(0.0, self.height)
         wxpath = self.convert_path(gfx_ctx, path, transform)
         if rgbFace is not None:
             gfx_ctx.SetBrush(wx.Brush(gc.get_wxcolour(rgbFace)))
@@ -351,25 +209,26 @@ def draw_path(self, gc, path, transform, rgbFace=None):
 
     def draw_image(self, gc, x, y, im):
         bbox = gc.get_clip_rectangle()
-        if bbox != None:
-            l,b,w,h = bbox.bounds
+        if bbox is not None:
+            l, b, w, h = bbox.bounds
         else:
-            l=0
-            b=0,
-            w=self.width
-            h=self.height
-        rows, cols, image_str = im.as_rgba_str()
-        image_array = np.fromstring(image_str, np.uint8)
-        image_array.shape = rows, cols, 4
-        bitmap = wx.BitmapFromBufferRGBA(cols,rows,image_array)
-        gc = self.get_gc()
+            l = 0
+            b = 0
+            w = self.width
+            h = self.height
+        rows, cols = im.shape[:2]
+        bitmap = wx.Bitmap.FromBufferRGBA(cols, rows, im.tobytes())
         gc.select()
-        gc.gfx_ctx.DrawBitmap(bitmap,int(l),int(self.height-b),int(w),int(-h))
+        gc.gfx_ctx.DrawBitmap(bitmap, int(l), int(self.height - b),
+                              int(w), int(-h))
         gc.unselect()
 
     def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
-        if ismath: s = self.strip_math(s)
-        DEBUG_MSG("draw_text()", 1, self)
+        # docstring inherited
+
+        if ismath:
+            s = cbook.strip_math(s)
+        _log.debug("%s - draw_text()", type(self))
         gc.select()
         self.handle_clip_rectangle(gc)
         gfx_ctx = gc.gfx_ctx
@@ -380,12 +239,12 @@ def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
 
         w, h, d = self.get_text_width_height_descent(s, prop, ismath)
         x = int(x)
-        y = int(y-h)
+        y = int(y - h)
 
         if angle == 0.0:
             gfx_ctx.DrawText(s, x, y)
         else:
-            rads = angle / 180.0 * math.pi
+            rads = math.radians(angle)
             xo = h * math.sin(rads)
             yo = h * math.cos(rads)
             gfx_ctx.DrawRotatedText(s, x - xo, y - yo, rads)
@@ -393,106 +252,67 @@ def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
         gc.unselect()
 
     def new_gc(self):
-        """
-        Return an instance of a GraphicsContextWx, and sets the current gc copy
-        """
-        DEBUG_MSG('new_gc()', 2, self)
+        # docstring inherited
+        _log.debug("%s - new_gc()", type(self))
         self.gc = GraphicsContextWx(self.bitmap, self)
         self.gc.select()
         self.gc.unselect()
         return self.gc
 
-    def get_gc(self):
-        """
-        Fetch the locally cached gc.
-        """
-        # This is a dirty hack to allow anything with access to a renderer to
-        # access the current graphics context
-        assert self.gc != None, "gc must be defined"
-        return self.gc
-
     def get_wx_font(self, s, prop):
-        """
-        Return a wx font.  Cache instances in a font dictionary for
-        efficiency
-        """
-        DEBUG_MSG("get_wx_font()", 1, self)
-
-
+        """Return a wx font.  Cache font instances for efficiency."""
+        _log.debug("%s - get_wx_font()", type(self))
         key = hash(prop)
-        fontprop = prop
-        fontname = fontprop.get_name()
-
         font = self.fontd.get(key)
         if font is not None:
             return font
-
-        # Allow use of platform independent and dependent font names
-        wxFontname = self.fontnames.get(fontname, wx.ROMAN)
-        wxFacename = '' # Empty => wxPython chooses based on wx_fontname
-
+        size = self.points_to_pixels(prop.get_size_in_points())
         # Font colour is determined by the active wx.Pen
         # TODO: It may be wise to cache font information
-        size = self.points_to_pixels(fontprop.get_size_in_points())
-
-
-        font =wx.Font(int(size+0.5),             # Size
-                      wxFontname,                # 'Generic' name
-                      self.fontangles[fontprop.get_style()],   # Angle
-                      self.fontweights[fontprop.get_weight()], # Weight
-                      False,                     # Underline
-                      wxFacename)                # Platform font name
-
-        # cache the font and gc and return it
-        self.fontd[key] = font
-
+        self.fontd[key] = font = wx.Font(  # Cache the font and gc.
+            pointSize=round(size),
+            family=self.fontnames.get(prop.get_name(), wx.ROMAN),
+            style=self.fontangles[prop.get_style()],
+            weight=self.fontweights[prop.get_weight()])
         return font
 
     def points_to_pixels(self, points):
-        """
-        convert point measures to pixes using dpi and the pixels per
-        inch of the display
-        """
-        return points*(PIXELS_PER_INCH/72.0*self.dpi/72.0)
+        # docstring inherited
+        return points * (PIXELS_PER_INCH / 72.0 * self.dpi / 72.0)
 
 
 class GraphicsContextWx(GraphicsContextBase):
     """
-    The graphics context provides the color, line styles, etc...
+    The graphics context provides the color, line styles, etc.
 
     This class stores a reference to a wxMemoryDC, and a
     wxGraphicsContext that draws to it.  Creating a wxGraphicsContext
     seems to be fairly heavy, so these objects are cached based on the
     bitmap object that is passed in.
 
-    The base GraphicsContext stores colors as a RGB tuple on the unit
+    The base GraphicsContext stores colors as an RGB tuple on the unit
     interval, e.g., (0.5, 0.0, 1.0).  wxPython uses an int interval, but
     since wxPython colour management is rather simple, I have not chosen
     to implement a separate colour manager class.
     """
-    _capd = { 'butt':       wx.CAP_BUTT,
-              'projecting': wx.CAP_PROJECTING,
-              'round':      wx.CAP_ROUND }
-
-    _joind = { 'bevel':     wx.JOIN_BEVEL,
-               'miter':     wx.JOIN_MITER,
-               'round':     wx.JOIN_ROUND }
-
-    _dashd_wx = { 'solid':     wx.SOLID,
-                  'dashed':    wx.SHORT_DASH,
-                  'dashdot':   wx.DOT_DASH,
-                  'dotted':    wx.DOT }
+    _capd = {'butt': wx.CAP_BUTT,
+             'projecting': wx.CAP_PROJECTING,
+             'round': wx.CAP_ROUND}
+
+    _joind = {'bevel': wx.JOIN_BEVEL,
+              'miter': wx.JOIN_MITER,
+              'round': wx.JOIN_ROUND}
+
     _cache = weakref.WeakKeyDictionary()
 
     def __init__(self, bitmap, renderer):
-        GraphicsContextBase.__init__(self)
-        #assert self.Ok(), "wxMemoryDC not OK to use"
-        DEBUG_MSG("__init__()", 1, self)
+        super().__init__()
+        # assert self.Ok(), "wxMemoryDC not OK to use"
+        _log.debug("%s - __init__(): %s", type(self), bitmap)
 
         dc, gfx_ctx = self._cache.get(bitmap, (None, None))
         if dc is None:
-            dc = wx.MemoryDC()
-            dc.SelectObject(bitmap)
+            dc = wx.MemoryDC(bitmap)
             gfx_ctx = wx.GraphicsContext.Create(dc)
             gfx_ctx._lastcliprect = None
             self._cache[bitmap] = dc, gfx_ctx
@@ -502,410 +322,268 @@ def __init__(self, bitmap, renderer):
         self.gfx_ctx = gfx_ctx
         self._pen = wx.Pen('BLACK', 1, wx.SOLID)
         gfx_ctx.SetPen(self._pen)
-        self._style = wx.SOLID
         self.renderer = renderer
 
     def select(self):
-        """
-        Select the current bitmap into this wxDC instance
-        """
-
-        if sys.platform=='win32':
+        """Select the current bitmap into this wxDC instance."""
+        if sys.platform == 'win32':
             self.dc.SelectObject(self.bitmap)
             self.IsSelected = True
 
     def unselect(self):
-        """
-        Select a Null bitmasp into this wxDC instance
-        """
-        if sys.platform=='win32':
+        """Select a Null bitmap into this wxDC instance."""
+        if sys.platform == 'win32':
             self.dc.SelectObject(wx.NullBitmap)
             self.IsSelected = False
 
     def set_foreground(self, fg, isRGBA=None):
-        """
-        Set the foreground color.  fg can be a matlab format string, a
-        html hex color string, an rgb unit tuple, or a float between 0
-        and 1.  In the latter case, grayscale is used.
-        """
+        # docstring inherited
         # Implementation note: wxPython has a separate concept of pen and
         # brush - the brush fills any outline trace left by the pen.
         # Here we set both to the same colour - if a figure is not to be
         # filled, the renderer will set the brush to be transparent
         # Same goes for text foreground...
-        DEBUG_MSG("set_foreground()", 1, self)
+        _log.debug("%s - set_foreground()", type(self))
         self.select()
-        GraphicsContextBase.set_foreground(self, fg, isRGBA)
-
-        self._pen.SetColour(self.get_wxcolour(self.get_rgb()))
-        self.gfx_ctx.SetPen(self._pen)
-        self.unselect()
+        super().set_foreground(fg, isRGBA)
 
-    def set_graylevel(self, frac):
-        """
-        Set the foreground color.  fg can be a matlab format string, a
-        html hex color string, an rgb unit tuple, or a float between 0
-        and 1.  In the latter case, grayscale is used.
-        """
-        DEBUG_MSG("set_graylevel()", 1, self)
-        self.select()
-        GraphicsContextBase.set_graylevel(self, frac)
         self._pen.SetColour(self.get_wxcolour(self.get_rgb()))
         self.gfx_ctx.SetPen(self._pen)
         self.unselect()
 
     def set_linewidth(self, w):
-        """
-        Set the line width.
-        """
-        DEBUG_MSG("set_linewidth()", 1, self)
+        # docstring inherited
+        w = float(w)
+        _log.debug("%s - set_linewidth()", type(self))
         self.select()
-        if w>0 and w<1: w = 1
-        GraphicsContextBase.set_linewidth(self, w)
+        if 0 < w < 1:
+            w = 1
+        super().set_linewidth(w)
         lw = int(self.renderer.points_to_pixels(self._linewidth))
-        if lw==0: lw = 1
+        if lw == 0:
+            lw = 1
         self._pen.SetWidth(lw)
         self.gfx_ctx.SetPen(self._pen)
         self.unselect()
 
     def set_capstyle(self, cs):
-        """
-        Set the capstyle as a string in ('butt', 'round', 'projecting')
-        """
-        DEBUG_MSG("set_capstyle()", 1, self)
+        # docstring inherited
+        _log.debug("%s - set_capstyle()", type(self))
         self.select()
-        GraphicsContextBase.set_capstyle(self, cs)
+        super().set_capstyle(cs)
         self._pen.SetCap(GraphicsContextWx._capd[self._capstyle])
         self.gfx_ctx.SetPen(self._pen)
         self.unselect()
 
     def set_joinstyle(self, js):
-        """
-        Set the join style to be one of ('miter', 'round', 'bevel')
-        """
-        DEBUG_MSG("set_joinstyle()", 1, self)
+        # docstring inherited
+        _log.debug("%s - set_joinstyle()", type(self))
         self.select()
-        GraphicsContextBase.set_joinstyle(self, js)
+        super().set_joinstyle(js)
         self._pen.SetJoin(GraphicsContextWx._joind[self._joinstyle])
         self.gfx_ctx.SetPen(self._pen)
         self.unselect()
 
-    def set_linestyle(self, ls):
-        """
-        Set the line style to be one of
-        """
-        DEBUG_MSG("set_linestyle()", 1, self)
-        self.select()
-        GraphicsContextBase.set_linestyle(self, ls)
-        try:
-            self._style = GraphicsContextWx._dashd_wx[ls]
-        except KeyError:
-            self._style = wx.LONG_DASH# Style not used elsewhere...
-
-        # On MS Windows platform, only line width of 1 allowed for dash lines
-        if wx.Platform == '__WXMSW__':
-            self.set_linewidth(1)
-
-        self._pen.SetStyle(self._style)
-        self.gfx_ctx.SetPen(self._pen)
-        self.unselect()
-
     def get_wxcolour(self, color):
-        """return a wx.Colour from RGB format"""
-        DEBUG_MSG("get_wx_color()", 1, self)
-        if len(color) == 3:
-            r, g, b = color
-            r *= 255
-            g *= 255
-            b *= 255
-            return wx.Colour(red=int(r), green=int(g), blue=int(b))
-        else:
-            r, g, b, a = color
-            r *= 255
-            g *= 255
-            b *= 255
-            a *= 255
-            return wx.Colour(red=int(r), green=int(g), blue=int(b), alpha=int(a))
+        """Convert an RGB(A) color to a wx.Colour."""
+        _log.debug("%s - get_wx_color()", type(self))
+        return wx.Colour(*[int(255 * x) for x in color])
 
 
-class FigureCanvasWx(FigureCanvasBase, wx.Panel):
+class _FigureCanvasWxBase(FigureCanvasBase, wx.Panel):
     """
     The FigureCanvas contains the figure and does event handling.
 
     In the wxPython backend, it is derived from wxPanel, and (usually) lives
-    inside a frame instantiated by a FigureManagerWx. The parent window probably
-    implements a wx.Sizer to control the displayed control size - but we give a
-    hint as to our preferred minimum size.
+    inside a frame instantiated by a FigureManagerWx. The parent window
+    probably implements a wx.Sizer to control the displayed control size - but
+    we give a hint as to our preferred minimum size.
     """
 
+    required_interactive_framework = "wx"
+    _timer_cls = TimerWx
+    manager_class = _api.classproperty(lambda cls: FigureManagerWx)
+
     keyvald = {
-        wx.WXK_CONTROL         : 'control',
-        wx.WXK_SHIFT           : 'shift',
-        wx.WXK_ALT             : 'alt',
-        wx.WXK_LEFT            : 'left',
-        wx.WXK_UP              : 'up',
-        wx.WXK_RIGHT           : 'right',
-        wx.WXK_DOWN            : 'down',
-        wx.WXK_ESCAPE          : 'escape',
-        wx.WXK_F1              : 'f1',
-        wx.WXK_F2              : 'f2',
-        wx.WXK_F3              : 'f3',
-        wx.WXK_F4              : 'f4',
-        wx.WXK_F5              : 'f5',
-        wx.WXK_F6              : 'f6',
-        wx.WXK_F7              : 'f7',
-        wx.WXK_F8              : 'f8',
-        wx.WXK_F9              : 'f9',
-        wx.WXK_F10             : 'f10',
-        wx.WXK_F11             : 'f11',
-        wx.WXK_F12             : 'f12',
-        wx.WXK_SCROLL          : 'scroll_lock',
-        wx.WXK_PAUSE           : 'break',
-        wx.WXK_BACK            : 'backspace',
-        wx.WXK_RETURN          : 'enter',
-        wx.WXK_INSERT          : 'insert',
-        wx.WXK_DELETE          : 'delete',
-        wx.WXK_HOME            : 'home',
-        wx.WXK_END             : 'end',
-        wx.WXK_PRIOR           : 'pageup',
-        wx.WXK_NEXT            : 'pagedown',
-        wx.WXK_PAGEUP          : 'pageup',
-        wx.WXK_PAGEDOWN        : 'pagedown',
-        wx.WXK_NUMPAD0         : '0',
-        wx.WXK_NUMPAD1         : '1',
-        wx.WXK_NUMPAD2         : '2',
-        wx.WXK_NUMPAD3         : '3',
-        wx.WXK_NUMPAD4         : '4',
-        wx.WXK_NUMPAD5         : '5',
-        wx.WXK_NUMPAD6         : '6',
-        wx.WXK_NUMPAD7         : '7',
-        wx.WXK_NUMPAD8         : '8',
-        wx.WXK_NUMPAD9         : '9',
-        wx.WXK_NUMPAD_ADD      : '+',
-        wx.WXK_NUMPAD_SUBTRACT : '-',
-        wx.WXK_NUMPAD_MULTIPLY : '*',
-        wx.WXK_NUMPAD_DIVIDE   : '/',
-        wx.WXK_NUMPAD_DECIMAL  : 'dec',
-        wx.WXK_NUMPAD_ENTER    : 'enter',
-        wx.WXK_NUMPAD_UP       : 'up',
-        wx.WXK_NUMPAD_RIGHT    : 'right',
-        wx.WXK_NUMPAD_DOWN     : 'down',
-        wx.WXK_NUMPAD_LEFT     : 'left',
-        wx.WXK_NUMPAD_PRIOR    : 'pageup',
-        wx.WXK_NUMPAD_NEXT     : 'pagedown',
-        wx.WXK_NUMPAD_PAGEUP   : 'pageup',
-        wx.WXK_NUMPAD_PAGEDOWN : 'pagedown',
-        wx.WXK_NUMPAD_HOME     : 'home',
-        wx.WXK_NUMPAD_END      : 'end',
-        wx.WXK_NUMPAD_INSERT   : 'insert',
-        wx.WXK_NUMPAD_DELETE   : 'delete',
-        }
+        wx.WXK_CONTROL: 'control',
+        wx.WXK_SHIFT: 'shift',
+        wx.WXK_ALT: 'alt',
+        wx.WXK_CAPITAL: 'caps_lock',
+        wx.WXK_LEFT: 'left',
+        wx.WXK_UP: 'up',
+        wx.WXK_RIGHT: 'right',
+        wx.WXK_DOWN: 'down',
+        wx.WXK_ESCAPE: 'escape',
+        wx.WXK_F1: 'f1',
+        wx.WXK_F2: 'f2',
+        wx.WXK_F3: 'f3',
+        wx.WXK_F4: 'f4',
+        wx.WXK_F5: 'f5',
+        wx.WXK_F6: 'f6',
+        wx.WXK_F7: 'f7',
+        wx.WXK_F8: 'f8',
+        wx.WXK_F9: 'f9',
+        wx.WXK_F10: 'f10',
+        wx.WXK_F11: 'f11',
+        wx.WXK_F12: 'f12',
+        wx.WXK_SCROLL: 'scroll_lock',
+        wx.WXK_PAUSE: 'break',
+        wx.WXK_BACK: 'backspace',
+        wx.WXK_RETURN: 'enter',
+        wx.WXK_INSERT: 'insert',
+        wx.WXK_DELETE: 'delete',
+        wx.WXK_HOME: 'home',
+        wx.WXK_END: 'end',
+        wx.WXK_PAGEUP: 'pageup',
+        wx.WXK_PAGEDOWN: 'pagedown',
+        wx.WXK_NUMPAD0: '0',
+        wx.WXK_NUMPAD1: '1',
+        wx.WXK_NUMPAD2: '2',
+        wx.WXK_NUMPAD3: '3',
+        wx.WXK_NUMPAD4: '4',
+        wx.WXK_NUMPAD5: '5',
+        wx.WXK_NUMPAD6: '6',
+        wx.WXK_NUMPAD7: '7',
+        wx.WXK_NUMPAD8: '8',
+        wx.WXK_NUMPAD9: '9',
+        wx.WXK_NUMPAD_ADD: '+',
+        wx.WXK_NUMPAD_SUBTRACT: '-',
+        wx.WXK_NUMPAD_MULTIPLY: '*',
+        wx.WXK_NUMPAD_DIVIDE: '/',
+        wx.WXK_NUMPAD_DECIMAL: 'dec',
+        wx.WXK_NUMPAD_ENTER: 'enter',
+        wx.WXK_NUMPAD_UP: 'up',
+        wx.WXK_NUMPAD_RIGHT: 'right',
+        wx.WXK_NUMPAD_DOWN: 'down',
+        wx.WXK_NUMPAD_LEFT: 'left',
+        wx.WXK_NUMPAD_PAGEUP: 'pageup',
+        wx.WXK_NUMPAD_PAGEDOWN: 'pagedown',
+        wx.WXK_NUMPAD_HOME: 'home',
+        wx.WXK_NUMPAD_END: 'end',
+        wx.WXK_NUMPAD_INSERT: 'insert',
+        wx.WXK_NUMPAD_DELETE: 'delete',
+    }
 
-    def __init__(self, parent, id, figure):
+    def __init__(self, parent, id, figure=None):
         """
-        Initialise a FigureWx instance.
+        Initialize a FigureWx instance.
 
-        - Initialise the FigureCanvasBase and wxPanel parents.
-        - Set event handlers for:
-          EVT_SIZE  (Resize event)
-          EVT_PAINT (Paint event)
+        - Initialize the FigureCanvasBase and wxPanel parents.
+        - Set event handlers for resize, paint, and keyboard and mouse
+          interaction.
         """
 
         FigureCanvasBase.__init__(self, figure)
-        # Set preferred window size hint - helps the sizer (if one is
-        # connected)
-        l,b,w,h = figure.bbox.bounds
-        w = int(math.ceil(w))
-        h = int(math.ceil(h))
-
-        wx.Panel.__init__(self, parent, id, size=wx.Size(w, h))
-
-        def do_nothing(*args, **kwargs):
-            warnings.warn('could not find a setinitialsize function for backend_wx; please report your wxpython version=%s to the matplotlib developers list'%backend_version)
-            pass
-
-        # try to find the set size func across wx versions
-        try:
-            getattr(self, 'SetInitialSize')
-        except AttributeError:
-            self.SetInitialSize = getattr(self, 'SetBestFittingSize', do_nothing)
-
-
-        if not hasattr(self,'IsShownOnScreen'):
-            self.IsShownOnScreen = getattr(self, 'IsVisible', lambda *args: True)
-
-
-        # Create the drawing bitmap
-        self.bitmap =wx.EmptyBitmap(w, h)
-        DEBUG_MSG("__init__() - bitmap w:%d h:%d" % (w,h), 2, self)
-        # TODO: Add support for 'point' inspection and plot navigation.
+        size = wx.Size(*map(math.ceil, self.figure.bbox.size))
+        if wx.Platform != '__WXMSW__':
+            size = parent.FromDIP(size)
+        # Set preferred window size hint - helps the sizer, if one is connected
+        wx.Panel.__init__(self, parent, id, size=size)
+        self.bitmap = None
         self._isDrawn = False
+        self._rubberband_rect = None
+        self._rubberband_pen_black = wx.Pen('BLACK', 1, wx.PENSTYLE_SHORT_DASH)
+        self._rubberband_pen_white = wx.Pen('WHITE', 1, wx.PENSTYLE_SOLID)
+
+        self.Bind(wx.EVT_SIZE, self._on_size)
+        self.Bind(wx.EVT_PAINT, self._on_paint)
+        self.Bind(wx.EVT_CHAR_HOOK, self._on_key_down)
+        self.Bind(wx.EVT_KEY_UP, self._on_key_up)
+        self.Bind(wx.EVT_LEFT_DOWN, self._on_mouse_button)
+        self.Bind(wx.EVT_LEFT_DCLICK, self._on_mouse_button)
+        self.Bind(wx.EVT_LEFT_UP, self._on_mouse_button)
+        self.Bind(wx.EVT_MIDDLE_DOWN, self._on_mouse_button)
+        self.Bind(wx.EVT_MIDDLE_DCLICK, self._on_mouse_button)
+        self.Bind(wx.EVT_MIDDLE_UP, self._on_mouse_button)
+        self.Bind(wx.EVT_RIGHT_DOWN, self._on_mouse_button)
+        self.Bind(wx.EVT_RIGHT_DCLICK, self._on_mouse_button)
+        self.Bind(wx.EVT_RIGHT_UP, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX1_DOWN, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX1_UP, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX2_DOWN, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX2_UP, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX1_DCLICK, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSE_AUX2_DCLICK, self._on_mouse_button)
+        self.Bind(wx.EVT_MOUSEWHEEL, self._on_mouse_wheel)
+        self.Bind(wx.EVT_MOTION, self._on_motion)
+        self.Bind(wx.EVT_ENTER_WINDOW, self._on_enter)
+        self.Bind(wx.EVT_LEAVE_WINDOW, self._on_leave)
+
+        self.Bind(wx.EVT_MOUSE_CAPTURE_CHANGED, self._on_capture_lost)
+        self.Bind(wx.EVT_MOUSE_CAPTURE_LOST, self._on_capture_lost)
+
+        self.SetBackgroundStyle(wx.BG_STYLE_PAINT)  # Reduce flicker.
+        self.SetBackgroundColour(wx.WHITE)
 
-        bind(self, wx.EVT_SIZE, self._onSize)
-        bind(self, wx.EVT_PAINT, self._onPaint)
-        bind(self, wx.EVT_ERASE_BACKGROUND, self._onEraseBackground)
-        bind(self, wx.EVT_KEY_DOWN, self._onKeyDown)
-        bind(self, wx.EVT_KEY_UP, self._onKeyUp)
-        bind(self, wx.EVT_RIGHT_DOWN, self._onRightButtonDown)
-        bind(self, wx.EVT_RIGHT_DCLICK, self._onRightButtonDClick)
-        bind(self, wx.EVT_RIGHT_UP, self._onRightButtonUp)
-        bind(self, wx.EVT_MOUSEWHEEL, self._onMouseWheel)
-        bind(self, wx.EVT_LEFT_DOWN, self._onLeftButtonDown)
-        bind(self, wx.EVT_LEFT_DCLICK, self._onLeftButtonDClick)
-        bind(self, wx.EVT_LEFT_UP, self._onLeftButtonUp)
-        bind(self, wx.EVT_MOTION, self._onMotion)
-        bind(self, wx.EVT_LEAVE_WINDOW, self._onLeave)
-        bind(self, wx.EVT_ENTER_WINDOW, self._onEnter)
-        bind(self, wx.EVT_IDLE, self._onIdle)
-        #Add middle button events
-        bind(self, wx.EVT_MIDDLE_DOWN, self._onMiddleButtonDown)
-        bind(self, wx.EVT_MIDDLE_DCLICK, self._onMiddleButtonDClick)
-        bind(self, wx.EVT_MIDDLE_UP, self._onMiddleButtonUp)
-
-        self.SetBackgroundStyle(wx.BG_STYLE_CUSTOM)
-
-        self.macros = {} # dict from wx id to seq of macros
-
-        # printer attributes and methods deprecated, 2010/06/19
-        self._printerData = None
-        self._printerPageData = None
-        self.printer_width = 5.5
-        self.printer_margin = 0.5
-
-    def Destroy(self, *args, **kwargs):
-        wx.Panel.Destroy(self, *args, **kwargs)
-
+        if wx.Platform == '__WXMAC__':
+            # Initial scaling. Other platforms handle this automatically
+            dpiScale = self.GetDPIScaleFactor()
+            self.SetInitialSize(self.GetSize()*(1/dpiScale))
+            self._set_device_pixel_ratio(dpiScale)
 
     def Copy_to_Clipboard(self, event=None):
-        "copy bitmap of canvas to system clipboard"
+        """Copy bitmap of canvas to system clipboard."""
         bmp_obj = wx.BitmapDataObject()
         bmp_obj.SetBitmap(self.bitmap)
 
         if not wx.TheClipboard.IsOpened():
-           open_success = wx.TheClipboard.Open()
-           if open_success:
-              wx.TheClipboard.SetData(bmp_obj)
-              wx.TheClipboard.Close()
-              wx.TheClipboard.Flush()
+            open_success = wx.TheClipboard.Open()
+            if open_success:
+                wx.TheClipboard.SetData(bmp_obj)
+                wx.TheClipboard.Flush()
+                wx.TheClipboard.Close()
+
+    def _update_device_pixel_ratio(self, *args, **kwargs):
+        # We need to be careful in cases with mixed resolution displays if
+        # device_pixel_ratio changes.
+        if self._set_device_pixel_ratio(self.GetDPIScaleFactor()):
+            self.draw()
 
     def draw_idle(self):
-        """
-        Delay rendering until the GUI is idle.
-        """
-        DEBUG_MSG("draw_idle()", 1, self)
+        # docstring inherited
+        _log.debug("%s - draw_idle()", type(self))
         self._isDrawn = False  # Force redraw
-        # Create a timer for handling draw_idle requests
-        # If there are events pending when the timer is
-        # complete, reset the timer and continue.  The
-        # alternative approach, binding to wx.EVT_IDLE,
-        # doesn't behave as nicely.
-        if hasattr(self,'_idletimer'):
-            self._idletimer.Restart(IDLE_DELAY)
-        else:
-            self._idletimer = wx.FutureCall(IDLE_DELAY,self._onDrawIdle)
-            # FutureCall is a backwards-compatible alias;
-            # CallLater became available in 2.7.1.1.
-
-    def _onDrawIdle(self, *args, **kwargs):
-        if wx.GetApp().Pending():
-            self._idletimer.Restart(IDLE_DELAY, *args, **kwargs)
-        else:
-            del self._idletimer
-            # GUI event or explicit draw call may already
-            # have caused the draw to take place
-            if not self._isDrawn:
-                self.draw(*args, **kwargs)
-
-    def draw(self, drawDC=None):
-        """
-        Render the figure using RendererWx instance renderer, or using a
-        previously defined renderer if none is specified.
-        """
-        DEBUG_MSG("draw()", 1, self)
-        self.renderer = RendererWx(self.bitmap, self.figure.dpi)
-        self.figure.draw(self.renderer)
-        self._isDrawn = True
-        self.gui_repaint(drawDC=drawDC)
-
-    def new_timer(self, *args, **kwargs):
-        """
-        Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
-        This is useful for getting periodic events through the backend's native
-        event loop. Implemented only for backends with GUIs.
-
-        optional arguments:
-
-        *interval*
-          Timer interval in milliseconds
-        *callbacks*
-          Sequence of (func, args, kwargs) where func(*args, **kwargs) will
-          be executed by the timer every *interval*.
-        """
-        return TimerWx(self, *args, **kwargs)
+        # Triggering a paint event is all that is needed to defer drawing
+        # until later. The platform will send the event when it thinks it is
+        # a good time (usually as soon as there are no other events pending).
+        self.Refresh(eraseBackground=False)
 
     def flush_events(self):
+        # docstring inherited
         wx.Yield()
 
     def start_event_loop(self, timeout=0):
-        """
-        Start an event loop.  This is used to start a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.  This should not be
-        confused with the main GUI event loop, which is always running
-        and has nothing to do with this.
-
-        Call signature::
-
-        start_event_loop(self,timeout=0)
-
-        This call blocks until a callback function triggers
-        stop_event_loop() or *timeout* is reached.  If *timeout* is
-        <=0, never timeout.
-
-        Raises RuntimeError if event loop is already running.
-        """
+        # docstring inherited
         if hasattr(self, '_event_loop'):
             raise RuntimeError("Event loop already running")
-        id = wx.NewId()
-        timer = wx.Timer(self, id=id)
+        timer = wx.Timer(self, id=wx.ID_ANY)
         if timeout > 0:
-            timer.Start(timeout*1000, oneShot=True)
-            bind(self, wx.EVT_TIMER, self.stop_event_loop, id=id)
-
+            timer.Start(int(timeout * 1000), oneShot=True)
+            self.Bind(wx.EVT_TIMER, self.stop_event_loop, id=timer.GetId())
         # Event loop handler for start/stop event loop
-        self._event_loop = wx.EventLoop()
+        self._event_loop = wx.GUIEventLoop()
         self._event_loop.Run()
         timer.Stop()
 
     def stop_event_loop(self, event=None):
-        """
-        Stop an event loop.  This is used to stop a blocking event
-        loop so that interactive functions, such as ginput and
-        waitforbuttonpress, can wait for events.
-
-        Call signature::
-
-        stop_event_loop_default(self)
-        """
-        if hasattr(self,'_event_loop'):
+        # docstring inherited
+        if hasattr(self, '_event_loop'):
             if self._event_loop.IsRunning():
                 self._event_loop.Exit()
             del self._event_loop
 
-
     def _get_imagesave_wildcards(self):
-        'return the wildcard string for the filesave dialog'
+        """Return the wildcard string for the filesave dialog."""
         default_filetype = self.get_default_filetype()
         filetypes = self.get_supported_filetypes_grouped()
-        sorted_filetypes = list(six.iteritems(filetypes))
-        sorted_filetypes.sort()
+        sorted_filetypes = sorted(filetypes.items())
         wildcards = []
         extensions = []
         filter_index = 0
         for i, (name, exts) in enumerate(sorted_filetypes):
             ext_list = ';'.join(['*.%s' % ext for ext in exts])
             extensions.append(exts[0])
-            wildcard = '%s (%s)|%s' % (name, ext_list, ext_list)
+            wildcard = f'{name} ({ext_list})|{ext_list}'
             if default_filetype in exts:
                 filter_index = i
             wildcards.append(wildcard)
@@ -914,967 +592,790 @@ def _get_imagesave_wildcards(self):
 
     def gui_repaint(self, drawDC=None):
         """
-        Performs update of the displayed image on the GUI canvas, using the
-        supplied device context.  If drawDC is None, a ClientDC will be used to
-        redraw the image.
-        """
-        DEBUG_MSG("gui_repaint()", 1, self)
-        if self.IsShownOnScreen():
-            if drawDC is None:
-                drawDC=wx.ClientDC(self)
-
-            drawDC.BeginDrawing()
-            drawDC.DrawBitmap(self.bitmap, 0, 0)
-            drawDC.EndDrawing()
-            #wx.GetApp().Yield()
-        else:
-            pass
-
-    filetypes = FigureCanvasBase.filetypes.copy()
-    filetypes['bmp'] = 'Windows bitmap'
-    filetypes['jpeg'] = 'JPEG'
-    filetypes['jpg'] = 'JPEG'
-    filetypes['pcx'] = 'PCX'
-    filetypes['png'] = 'Portable Network Graphics'
-    filetypes['tif'] = 'Tagged Image Format File'
-    filetypes['tiff'] = 'Tagged Image Format File'
-    filetypes['xpm'] = 'X pixmap'
-
-    def print_figure(self, filename, *args, **kwargs):
-        # Use pure Agg renderer to draw
-        FigureCanvasBase.print_figure(self, filename, *args, **kwargs)
-        # Restore the current view; this is needed because the
-        # artist contains methods rely on particular attributes
-        # of the rendered figure for determining things like
-        # bounding boxes.
-        if self._isDrawn:
-            self.draw()
-
-    def print_bmp(self, filename, *args, **kwargs):
-        return self._print_image(filename, wx.BITMAP_TYPE_BMP, *args, **kwargs)
-
-    if not _has_pil:
-        def print_jpeg(self, filename, *args, **kwargs):
-            return self._print_image(filename, wx.BITMAP_TYPE_JPEG, *args, **kwargs)
-        print_jpg = print_jpeg
-
-    def print_pcx(self, filename, *args, **kwargs):
-        return self._print_image(filename, wx.BITMAP_TYPE_PCX, *args, **kwargs)
-
-    def print_png(self, filename, *args, **kwargs):
-        return self._print_image(filename, wx.BITMAP_TYPE_PNG, *args, **kwargs)
-
-    if not _has_pil:
-        def print_tiff(self, filename, *args, **kwargs):
-            return self._print_image(filename, wx.BITMAP_TYPE_TIF, *args, **kwargs)
-        print_tif = print_tiff
-
-    def print_xpm(self, filename, *args, **kwargs):
-        return self._print_image(filename, wx.BITMAP_TYPE_XPM, *args, **kwargs)
-
-    def _print_image(self, filename, filetype, *args, **kwargs):
-        origBitmap   = self.bitmap
-
-        l,b,width,height = self.figure.bbox.bounds
-        width = int(math.ceil(width))
-        height = int(math.ceil(height))
-
-        self.bitmap = wx.EmptyBitmap(width, height)
-        renderer = RendererWx(self.bitmap, self.figure.dpi)
-
-        gc = renderer.new_gc()
-
-        self.figure.draw(renderer)
-
-        # image is the object that we call SaveFile on.
-        image = self.bitmap
-        # set the JPEG quality appropriately.  Unfortunately, it is only possible
-        # to set the quality on a wx.Image object.  So if we are saving a JPEG,
-        # convert the wx.Bitmap to a wx.Image, and set the quality.
-        if filetype == wx.BITMAP_TYPE_JPEG:
-           jpeg_quality = kwargs.get('quality',rcParams['savefig.jpeg_quality'])
-           image = self.bitmap.ConvertToImage()
-           image.SetOption(wx.IMAGE_OPTION_QUALITY,str(jpeg_quality))
-
-        # Now that we have rendered into the bitmap, save it
-        # to the appropriate file type and clean up
-        if is_string_like(filename):
-            if not image.SaveFile(filename, filetype):
-                DEBUG_MSG('print_figure() file save error', 4, self)
-                raise RuntimeError('Could not save figure to %s\n' % (filename))
-        elif is_writable_file_like(filename):
-            if not isinstance(image,wx.Image):
-               image = image.ConvertToImage()
-            if not image.SaveStream(filename, filetype):
-                DEBUG_MSG('print_figure() file save error', 4, self)
-                raise RuntimeError('Could not save figure to %s\n' % (filename))
-
-        # Restore everything to normal
-        self.bitmap = origBitmap
-
-        # Note: draw is required here since bits of state about the
-        # last renderer are strewn about the artist draw methods.  Do
-        # not remove the draw without first verifying that these have
-        # been cleaned up.  The artist contains() methods will fail
-        # otherwise.
-        if self._isDrawn:
-            self.draw()
-        self.Refresh()
-
-    def _onPaint(self, evt):
-        """
-        Called when wxPaintEvt is generated
+        Update the displayed image on the GUI canvas, using the supplied
+        wx.PaintDC device context.
         """
+        _log.debug("%s - gui_repaint()", type(self))
+        # The "if self" check avoids a "wrapped C/C++ object has been deleted"
+        # RuntimeError if doing things after window is closed.
+        if not (self and self.IsShownOnScreen()):
+            return
+        if not drawDC:  # not called from OnPaint use a ClientDC
+            drawDC = wx.ClientDC(self)
+        # For 'WX' backend on Windows, the bitmap cannot be in use by another
+        # DC (see GraphicsContextWx._cache).
+        bmp = (self.bitmap.ConvertToImage().ConvertToBitmap()
+               if wx.Platform == '__WXMSW__'
+                  and isinstance(self.figure.canvas.get_renderer(), RendererWx)
+               else self.bitmap)
+        drawDC.DrawBitmap(bmp, 0, 0)
+        if self._rubberband_rect is not None:
+            # Some versions of wx+python don't support numpy.float64 here.
+            x0, y0, x1, y1 = map(round, self._rubberband_rect)
+            rect = [(x0, y0, x1, y0), (x1, y0, x1, y1),
+                    (x0, y0, x0, y1), (x0, y1, x1, y1)]
+            drawDC.DrawLineList(rect, self._rubberband_pen_white)
+            drawDC.DrawLineList(rect, self._rubberband_pen_black)
+
+    filetypes = {
+        **FigureCanvasBase.filetypes,
+        'bmp': 'Windows bitmap',
+        'jpeg': 'JPEG',
+        'jpg': 'JPEG',
+        'pcx': 'PCX',
+        'png': 'Portable Network Graphics',
+        'tif': 'Tagged Image Format File',
+        'tiff': 'Tagged Image Format File',
+        'xpm': 'X pixmap',
+    }
 
-        DEBUG_MSG("_onPaint()", 1, self)
+    def _on_paint(self, event):
+        """Called when wxPaintEvt is generated."""
+        _log.debug("%s - _on_paint()", type(self))
         drawDC = wx.PaintDC(self)
         if not self._isDrawn:
             self.draw(drawDC=drawDC)
         else:
             self.gui_repaint(drawDC=drawDC)
-        evt.Skip()
+        drawDC.Destroy()
 
-    def _onEraseBackground(self, evt):
-        """
-        Called when window is redrawn; since we are blitting the entire
-        image, we can leave this blank to suppress flicker.
-        """
-        pass
-
-    def _onSize(self, evt):
+    def _on_size(self, event):
         """
         Called when wxEventSize is generated.
 
         In this application we attempt to resize to fit the window, so it
         is better to take the performance hit and redraw the whole window.
         """
-
-        DEBUG_MSG("_onSize()", 2, self)
-        # Create a new, correctly sized bitmap
-        self._width, self._height = self.GetClientSize()
-        self.bitmap =wx.EmptyBitmap(self._width, self._height)
+        self._update_device_pixel_ratio()
+        _log.debug("%s - _on_size()", type(self))
+        sz = self.GetParent().GetSizer()
+        if sz:
+            si = sz.GetItem(self)
+        if sz and si and not si.Proportion and not si.Flag & wx.EXPAND:
+            # managed by a sizer, but with a fixed size
+            size = self.GetMinSize()
+        else:
+            # variable size
+            size = self.GetClientSize()
+            # Do not allow size to become smaller than MinSize
+            size.IncTo(self.GetMinSize())
+        if getattr(self, "_width", None):
+            if size == (self._width, self._height):
+                # no change in size
+                return
+        self._width, self._height = size
         self._isDrawn = False
 
-        if self._width <= 1 or self._height <= 1: return # Empty figure
+        if self._width <= 1 or self._height <= 1:
+            return  # Empty figure
 
+        # Create a new, correctly sized bitmap
         dpival = self.figure.dpi
-        winch = self._width/dpival
-        hinch = self._height/dpival
-        self.figure.set_size_inches(winch, hinch)
+        if not wx.Platform == '__WXMSW__':
+            scale = self.GetDPIScaleFactor()
+            dpival /= scale
+        winch = self._width / dpival
+        hinch = self._height / dpival
+        self.figure.set_size_inches(winch, hinch, forward=False)
 
         # Rendering will happen on the associated paint event
         # so no need to do anything here except to make sure
         # the whole background is repainted.
         self.Refresh(eraseBackground=False)
-        FigureCanvasBase.resize_event(self)
+        ResizeEvent("resize_event", self)._process()
+        self.draw_idle()
 
-    def _get_key(self, evt):
+    @staticmethod
+    def _mpl_buttons():
+        state = wx.GetMouseState()
+        # NOTE: Alternatively, we could use event.LeftIsDown() / etc. but this
+        # fails to report multiclick drags on macOS (other OSes have not been
+        # verified).
+        mod_table = [
+            (MouseButton.LEFT, state.LeftIsDown()),
+            (MouseButton.RIGHT, state.RightIsDown()),
+            (MouseButton.MIDDLE, state.MiddleIsDown()),
+            (MouseButton.BACK, state.Aux1IsDown()),
+            (MouseButton.FORWARD, state.Aux2IsDown()),
+        ]
+        # State *after* press/release.
+        return {button for button, flag in mod_table if flag}
 
-        keyval = evt.m_keyCode
+    @staticmethod
+    def _mpl_modifiers(event=None, *, exclude=None):
+        mod_table = [
+            ("ctrl", wx.MOD_CONTROL, wx.WXK_CONTROL),
+            ("alt", wx.MOD_ALT, wx.WXK_ALT),
+            ("shift", wx.MOD_SHIFT, wx.WXK_SHIFT),
+        ]
+        if event is not None:
+            modifiers = event.GetModifiers()
+            return [name for name, mod, key in mod_table
+                    if modifiers & mod and exclude != key]
+        else:
+            return [name for name, mod, key in mod_table
+                    if wx.GetKeyState(key)]
+
+    def _get_key(self, event):
+        keyval = event.KeyCode
         if keyval in self.keyvald:
             key = self.keyvald[keyval]
         elif keyval < 256:
             key = chr(keyval)
             # wx always returns an uppercase, so make it lowercase if the shift
             # key is not depressed (NOTE: this will not handle Caps Lock)
-            if not evt.ShiftDown():
+            if not event.ShiftDown():
                 key = key.lower()
         else:
-            key = None
-
-        for meth, prefix in (
-                             [evt.AltDown, 'alt'],
-                             [evt.ControlDown, 'ctrl'], ):
-            if meth():
-                key = '{0}+{1}'.format(prefix, key)
-
-        return key
+            return None
+        mods = self._mpl_modifiers(event, exclude=keyval)
+        if "shift" in mods and key.isupper():
+            mods.remove("shift")
+        return "+".join([*mods, key])
 
-    def _onIdle(self, evt):
-        'a GUI idle event'
-        evt.Skip()
-        FigureCanvasBase.idle_event(self, guiEvent=evt)
+    def _mpl_coords(self, pos=None):
+        """
+        Convert a wx position, defaulting to the current cursor position, to
+        Matplotlib coordinates.
+        """
+        if pos is None:
+            pos = wx.GetMouseState()
+            x, y = self.ScreenToClient(pos.X, pos.Y)
+        else:
+            x, y = pos.X, pos.Y
+        # flip y so y=0 is bottom of canvas
+        if not wx.Platform == '__WXMSW__':
+            scale = self.GetDPIScaleFactor()
+            return x*scale, self.figure.bbox.height - y*scale
+        else:
+            return x, self.figure.bbox.height - y
 
-    def _onKeyDown(self, evt):
+    def _on_key_down(self, event):
         """Capture key press."""
-        key = self._get_key(evt)
-        evt.Skip()
-        FigureCanvasBase.key_press_event(self, key, guiEvent=evt)
+        KeyEvent("key_press_event", self,
+                 self._get_key(event), *self._mpl_coords(),
+                 guiEvent=event)._process()
+        if self:
+            event.Skip()
 
-    def _onKeyUp(self, evt):
+    def _on_key_up(self, event):
         """Release key."""
-        key = self._get_key(evt)
-        #print 'release key', key
-        evt.Skip()
-        FigureCanvasBase.key_release_event(self, key, guiEvent=evt)
+        KeyEvent("key_release_event", self,
+                 self._get_key(event), *self._mpl_coords(),
+                 guiEvent=event)._process()
+        if self:
+            event.Skip()
 
-    def _onRightButtonDown(self, evt):
-        """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 3, guiEvent=evt)
+    def set_cursor(self, cursor):
+        # docstring inherited
+        cursor = wx.Cursor(_api.check_getitem({
+            cursors.MOVE: wx.CURSOR_HAND,
+            cursors.HAND: wx.CURSOR_HAND,
+            cursors.POINTER: wx.CURSOR_ARROW,
+            cursors.SELECT_REGION: wx.CURSOR_CROSS,
+            cursors.WAIT: wx.CURSOR_WAIT,
+            cursors.RESIZE_HORIZONTAL: wx.CURSOR_SIZEWE,
+            cursors.RESIZE_VERTICAL: wx.CURSOR_SIZENS,
+        }, cursor=cursor))
+        self.SetCursor(cursor)
+        self.Refresh()
 
-    def _onRightButtonDClick(self, evt):
-        """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 3, dblclick=True,guiEvent=evt)
-
-    def _onRightButtonUp(self, evt):
-        """End measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        if self.HasCapture(): self.ReleaseMouse()
-        FigureCanvasBase.button_release_event(self, x, y, 3, guiEvent=evt)
-
-    def _onLeftButtonDown(self, evt):
-        """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 1, guiEvent=evt)
+    def _set_capture(self, capture=True):
+        """Control wx mouse capture."""
+        if self.HasCapture():
+            self.ReleaseMouse()
+        if capture:
+            self.CaptureMouse()
 
-    def _onLeftButtonDClick(self, evt):
-        """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 1, dblclick=True, guiEvent=evt)
-
-    def _onLeftButtonUp(self, evt):
-        """End measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        #print 'release button', 1
-        evt.Skip()
-        if self.HasCapture(): self.ReleaseMouse()
-        FigureCanvasBase.button_release_event(self, x, y, 1, guiEvent=evt)
-
-    #Add middle button events
-    def _onMiddleButtonDown(self, evt):
-        """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 2, guiEvent=evt)
+    def _on_capture_lost(self, event):
+        """Capture changed or lost"""
+        self._set_capture(False)
 
-    def _onMiddleButtonDClick(self, evt):
+    def _on_mouse_button(self, event):
         """Start measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        self.CaptureMouse()
-        FigureCanvasBase.button_press_event(self, x, y, 2, dblclick=True, guiEvent=evt)
-
-    def _onMiddleButtonUp(self, evt):
-        """End measuring on an axis."""
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        #print 'release button', 1
-        evt.Skip()
-        if self.HasCapture(): self.ReleaseMouse()
-        FigureCanvasBase.button_release_event(self, x, y, 2, guiEvent=evt)
-
-    def _onMouseWheel(self, evt):
+        event.Skip()
+        self._set_capture(event.ButtonDown() or event.ButtonDClick())
+        x, y = self._mpl_coords(event)
+        button_map = {
+            wx.MOUSE_BTN_LEFT: MouseButton.LEFT,
+            wx.MOUSE_BTN_MIDDLE: MouseButton.MIDDLE,
+            wx.MOUSE_BTN_RIGHT: MouseButton.RIGHT,
+            wx.MOUSE_BTN_AUX1: MouseButton.BACK,
+            wx.MOUSE_BTN_AUX2: MouseButton.FORWARD,
+        }
+        button = event.GetButton()
+        button = button_map.get(button, button)
+        modifiers = self._mpl_modifiers(event)
+        if event.ButtonDown():
+            MouseEvent("button_press_event", self, x, y, button,
+                       modifiers=modifiers, guiEvent=event)._process()
+        elif event.ButtonDClick():
+            MouseEvent("button_press_event", self, x, y, button, dblclick=True,
+                       modifiers=modifiers, guiEvent=event)._process()
+        elif event.ButtonUp():
+            MouseEvent("button_release_event", self, x, y, button,
+                       modifiers=modifiers, guiEvent=event)._process()
+
+    def _on_mouse_wheel(self, event):
         """Translate mouse wheel events into matplotlib events"""
-
-        # Determine mouse location
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-
+        x, y = self._mpl_coords(event)
         # Convert delta/rotation/rate into a floating point step size
-        delta = evt.GetWheelDelta()
-        rotation = evt.GetWheelRotation()
-        rate = evt.GetLinesPerAction()
-        #print "delta,rotation,rate",delta,rotation,rate
-        step = rate*float(rotation)/delta
-
+        step = event.LinesPerAction * event.WheelRotation / event.WheelDelta
         # Done handling event
-        evt.Skip()
-
-        # Mac is giving two events for every wheel event
-        # Need to skip every second one
+        event.Skip()
+        # Mac gives two events for every wheel event; skip every second one.
         if wx.Platform == '__WXMAC__':
-            if not hasattr(self,'_skipwheelevent'):
+            if not hasattr(self, '_skipwheelevent'):
                 self._skipwheelevent = True
             elif self._skipwheelevent:
                 self._skipwheelevent = False
                 return  # Return without processing event
             else:
                 self._skipwheelevent = True
+        MouseEvent("scroll_event", self, x, y, step=step,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
 
-        # Convert to mpl event
-        FigureCanvasBase.scroll_event(self, x, y, step, guiEvent=evt)
-
-    def _onMotion(self, evt):
+    def _on_motion(self, event):
         """Start measuring on an axis."""
-
-        x = evt.GetX()
-        y = self.figure.bbox.height - evt.GetY()
-        evt.Skip()
-        FigureCanvasBase.motion_notify_event(self, x, y, guiEvent=evt)
-
-    def _onLeave(self, evt):
-        """Mouse has left the window."""
-
-        evt.Skip()
-        FigureCanvasBase.leave_notify_event(self, guiEvent = evt)
-
-    def _onEnter(self, evt):
+        event.Skip()
+        MouseEvent("motion_notify_event", self,
+                   *self._mpl_coords(event),
+                   buttons=self._mpl_buttons(),
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def _on_enter(self, event):
         """Mouse has entered the window."""
-        FigureCanvasBase.enter_notify_event(self, guiEvent = evt)
+        event.Skip()
+        LocationEvent("figure_enter_event", self,
+                      *self._mpl_coords(event),
+                      modifiers=self._mpl_modifiers(),
+                      guiEvent=event)._process()
 
+    def _on_leave(self, event):
+        """Mouse has left the window."""
+        event.Skip()
+        LocationEvent("figure_leave_event", self,
+                      *self._mpl_coords(event),
+                      modifiers=self._mpl_modifiers(),
+                      guiEvent=event)._process()
 
-########################################################################
-#
-# The following functions and classes are for pylab compatibility
-# mode (matplotlib.pylab) and implement figure managers, etc...
-#
-########################################################################
-
-
-def _create_wx_app():
-    """
-    Creates a wx.App instance if it has not been created sofar.
-    """
-    wxapp = wx.GetApp()
-    if wxapp is None:
-        wxapp = wx.App(False)
-        wxapp.SetExitOnFrameDelete(True)
-        # retain a reference to the app object so it does not get garbage
-        # collected and cause segmentation faults
-        _create_wx_app.theWxApp = wxapp
-
-
-def draw_if_interactive():
-    """
-    This should be overriden in a windowing environment if drawing
-    should be done in interactive python mode
-    """
-    DEBUG_MSG("draw_if_interactive()", 1, None)
-
-    if matplotlib.is_interactive():
-
-        figManager = Gcf.get_active()
-        if figManager is not None:
-            figManager.canvas.draw_idle()
-
-class Show(ShowBase):
-    def mainloop(self):
-        needmain = not wx.App.IsMainLoopRunning()
-        if needmain:
-            wxapp = wx.GetApp()
-            if wxapp is not None:
-                wxapp.MainLoop()
-
-show = Show()
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    # in order to expose the Figure constructor to the pylab
-    # interface we need to create the figure here
-    DEBUG_MSG("new_figure_manager()", 3, None)
-    _create_wx_app()
-
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    fig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, fig)
 
+class FigureCanvasWx(_FigureCanvasWxBase):
+    # Rendering to a Wx canvas using the deprecated Wx renderer.
 
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    fig = figure
-    frame = FigureFrameWx(num, fig)
-    figmgr = frame.get_figure_manager()
-    if matplotlib.is_interactive():
-        figmgr.frame.Show()
+    def draw(self, drawDC=None):
+        """
+        Render the figure using RendererWx instance renderer, or using a
+        previously defined renderer if none is specified.
+        """
+        _log.debug("%s - draw()", type(self))
+        self.renderer = RendererWx(self.bitmap, self.figure.dpi)
+        self.figure.draw(self.renderer)
+        self._isDrawn = True
+        self.gui_repaint(drawDC=drawDC)
 
-    return figmgr
+    def _print_image(self, filetype, filename):
+        bitmap = wx.Bitmap(math.ceil(self.figure.bbox.width),
+                           math.ceil(self.figure.bbox.height))
+        self.figure.draw(RendererWx(bitmap, self.figure.dpi))
+        saved_obj = (bitmap.ConvertToImage()
+                     if cbook.is_writable_file_like(filename)
+                     else bitmap)
+        if not saved_obj.SaveFile(filename, filetype):
+            raise RuntimeError(f'Could not save figure to {filename}')
+        # draw() is required here since bits of state about the last renderer
+        # are strewn about the artist draw methods.  Do not remove the draw
+        # without first verifying that these have been cleaned up.  The artist
+        # contains() methods will fail otherwise.
+        if self._isDrawn:
+            self.draw()
+        # The "if self" check avoids a "wrapped C/C++ object has been deleted"
+        # RuntimeError if doing things after window is closed.
+        if self:
+            self.Refresh()
+
+    print_bmp = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_BMP)
+    print_jpeg = print_jpg = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_JPEG)
+    print_pcx = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_PCX)
+    print_png = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_PNG)
+    print_tiff = print_tif = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_TIF)
+    print_xpm = functools.partialmethod(
+        _print_image, wx.BITMAP_TYPE_XPM)
 
 
 class FigureFrameWx(wx.Frame):
-    def __init__(self, num, fig):
+    def __init__(self, num, fig, *, canvas_class):
         # On non-Windows platform, explicitly set the position - fix
         # positioning bug on some Linux platforms
         if wx.Platform == '__WXMSW__':
             pos = wx.DefaultPosition
         else:
-            pos =wx.Point(20,20)
-        l,b,w,h = fig.bbox.bounds
-        wx.Frame.__init__(self, parent=None, id=-1, pos=pos,
-                          title="Figure %d" % num)
+            pos = wx.Point(20, 20)
+        super().__init__(parent=None, id=-1, pos=pos)
         # Frame will be sized later by the Fit method
-        DEBUG_MSG("__init__()", 1, self)
-        self.num = num
-
-        statbar = StatusBarWx(self)
-        self.SetStatusBar(statbar)
-        self.canvas = self.get_canvas(fig)
-        self.canvas.SetInitialSize(wx.Size(fig.bbox.width, fig.bbox.height))
+        _log.debug("%s - __init__()", type(self))
+        _set_frame_icon(self)
+
+        self.canvas = canvas_class(self, -1, fig)
+        # Auto-attaches itself to self.canvas.manager
+        manager = FigureManagerWx(self.canvas, num, self)
+
+        toolbar = self.canvas.manager.toolbar
+        if toolbar is not None:
+            self.SetToolBar(toolbar)
+
+        # On Windows, canvas sizing must occur after toolbar addition;
+        # otherwise the toolbar further resizes the canvas.
+        w, h = map(math.ceil, fig.bbox.size)
+        self.canvas.SetInitialSize(self.FromDIP(wx.Size(w, h)))
+        self.canvas.SetMinSize(self.FromDIP(wx.Size(2, 2)))
         self.canvas.SetFocus()
-        self.sizer =wx.BoxSizer(wx.VERTICAL)
-        self.sizer.Add(self.canvas, 1, wx.TOP | wx.LEFT | wx.EXPAND)
-        # By adding toolbar in sizer, we are able to put it at the bottom
-        # of the frame - so appearance is closer to GTK version
-
-        self.toolbar = self._get_toolbar(statbar)
-
-        if self.toolbar is not None:
-            self.toolbar.Realize()
-            # On Windows platform, default window size is incorrect, so set
-            # toolbar width to figure width.
-            tw, th = self.toolbar.GetSizeTuple()
-            fw, fh = self.canvas.GetSizeTuple()
-            # By adding toolbar in sizer, we are able to put it at the bottom
-            # of the frame - so appearance is closer to GTK version.
-            self.toolbar.SetSize(wx.Size(fw, th))
-            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
-        self.SetSizer(self.sizer)
-        self.Fit()
-
-        self.canvas.SetMinSize((2, 2))
-
-        # give the window a matplotlib icon rather than the stock one.
-        # This is not currently working on Linux and is untested elsewhere.
-        #icon_path = os.path.join(matplotlib.rcParams['datapath'],
-        #                         'images', 'matplotlib.png')
-        #icon = wx.IconFromBitmap(wx.Bitmap(icon_path))
-        # for xpm type icons try:
-        #icon = wx.Icon(icon_path, wx.BITMAP_TYPE_XPM)
-        #self.SetIcon(icon)
-
-        self.figmgr = FigureManagerWx(self.canvas, num, self)
 
-        bind(self, wx.EVT_CLOSE, self._onClose)
-
-    def _get_toolbar(self, statbar):
-        if rcParams['toolbar']=='toolbar2':
-            toolbar = NavigationToolbar2Wx(self.canvas)
-            toolbar.set_status_bar(statbar)
-        else:
-            toolbar = None
-        return toolbar
-
-    def get_canvas(self, fig):
-        return FigureCanvasWx(self, -1, fig)
+        self.Fit()
 
-    def get_figure_manager(self):
-        DEBUG_MSG("get_figure_manager()", 1, self)
-        return self.figmgr
+        self.Bind(wx.EVT_CLOSE, self._on_close)
 
-    def _onClose(self, evt):
-        DEBUG_MSG("onClose()", 1, self)
-        self.canvas.close_event()
+    def _on_close(self, event):
+        _log.debug("%s - on_close()", type(self))
+        CloseEvent("close_event", self.canvas)._process()
         self.canvas.stop_event_loop()
-        Gcf.destroy(self.num)
-        #self.Destroy()
-
-    def GetToolBar(self):
-        """Override wxFrame::GetToolBar as we don't have managed toolbar"""
-        return self.toolbar
-
-    def Destroy(self, *args, **kwargs):
-        try:
-            self.canvas.mpl_disconnect(self.toolbar._idDrag)
-            # Rationale for line above: see issue 2941338.
-        except AttributeError:
-            pass # classic toolbar lacks the attribute
-        wx.Frame.Destroy(self, *args, **kwargs)
-        if self.toolbar is not None:
-            self.toolbar.Destroy()
-        wxapp = wx.GetApp()
-        if wxapp:
-            wxapp.Yield()
-        return True
+        # set FigureManagerWx.frame to None to prevent repeated attempts to
+        # close this frame from FigureManagerWx.destroy()
+        self.canvas.manager.frame = None
+        # remove figure manager from Gcf.figs
+        Gcf.destroy(self.canvas.manager)
+        try:  # See issue 2941338.
+            self.canvas.mpl_disconnect(self.canvas.toolbar._id_drag)
+        except AttributeError:  # If there's no toolbar.
+            pass
+        # Carry on with close event propagation, frame & children destruction
+        event.Skip()
 
 
 class FigureManagerWx(FigureManagerBase):
     """
-    This class contains the FigureCanvas and GUI frame
+    Container/controller for the FigureCanvas and GUI frame.
 
-    It is instantiated by GcfWx whenever a new figure is created. GcfWx is
+    It is instantiated by Gcf whenever a new figure is created.  Gcf is
     responsible for managing multiple instances of FigureManagerWx.
 
-    public attrs
-
-    canvas - a FigureCanvasWx(wx.Panel) instance
-    window - a wxFrame instance - http://www.lpthe.jussieu.fr/~zeitlin/wxWindows/docs/wxwin_wxframe.html#wxframe
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        a FigureCanvasWx(wx.Panel) instance
+    window : wxFrame
+        a wxFrame instance - wxpython.org/Phoenix/docs/html/Frame.html
     """
+
     def __init__(self, canvas, num, frame):
-        DEBUG_MSG("__init__()", 1, self)
-        FigureManagerBase.__init__(self, canvas, num)
-        self.frame = frame
-        self.window = frame
-
-        self.tb = frame.GetToolBar()
-        self.toolbar = self.tb  # consistent with other backends
-        def notify_axes_change(fig):
-            'this will be called whenever the current axes is changed'
-            if self.tb != None: self.tb.update()
-        self.canvas.figure.add_axobserver(notify_axes_change)
+        _log.debug("%s - __init__()", type(self))
+        self.frame = self.window = frame
+        super().__init__(canvas, num)
+
+    @classmethod
+    def create_with_canvas(cls, canvas_class, figure, num):
+        # docstring inherited
+        wxapp = wx.GetApp() or _create_wxapp()
+        frame = FigureFrameWx(num, figure, canvas_class=canvas_class)
+        manager = figure.canvas.manager
+        if mpl.is_interactive():
+            manager.frame.Show()
+            figure.canvas.draw_idle()
+        return manager
+
+    @classmethod
+    def start_main_loop(cls):
+        if not wx.App.IsMainLoopRunning():
+            wxapp = wx.GetApp()
+            if wxapp is not None:
+                wxapp.MainLoop()
 
     def show(self):
+        # docstring inherited
         self.frame.Show()
+        self.canvas.draw()
+        if mpl.rcParams['figure.raise_window']:
+            self.frame.Raise()
 
     def destroy(self, *args):
-        DEBUG_MSG("destroy()", 1, self)
-        self.frame.Destroy()
-        #if self.tb is not None: self.tb.Destroy()
-        #wx.GetApp().ProcessIdle()
-        wx.WakeUpIdle()
+        # docstring inherited
+        _log.debug("%s - destroy()", type(self))
+        frame = self.frame
+        if frame:  # Else, may have been already deleted, e.g. when closing.
+            # As this can be called from non-GUI thread from plt.close use
+            # wx.CallAfter to ensure thread safety.
+            wx.CallAfter(frame.Close)
+
+    def full_screen_toggle(self):
+        # docstring inherited
+        self.frame.ShowFullScreen(not self.frame.IsFullScreen())
 
     def get_window_title(self):
+        # docstring inherited
         return self.window.GetTitle()
 
     def set_window_title(self, title):
+        # docstring inherited
         self.window.SetTitle(title)
 
     def resize(self, width, height):
-        'Set the canvas size in pixels'
-        self.canvas.SetInitialSize(wx.Size(width, height))
-        self.window.GetSizer().Fit(self.window)
-
-# Identifiers for toolbar controls - images_wx contains bitmaps for the images
-# used in the controls. wxWindows does not provide any stock images, so I've
-# 'stolen' those from GTK2, and transformed them into the appropriate format.
-#import images_wx
-
-_NTB_AXISMENU        =wx.NewId()
-_NTB_AXISMENU_BUTTON =wx.NewId()
-_NTB_X_PAN_LEFT      =wx.NewId()
-_NTB_X_PAN_RIGHT     =wx.NewId()
-_NTB_X_ZOOMIN        =wx.NewId()
-_NTB_X_ZOOMOUT       =wx.NewId()
-_NTB_Y_PAN_UP        =wx.NewId()
-_NTB_Y_PAN_DOWN      =wx.NewId()
-_NTB_Y_ZOOMIN        =wx.NewId()
-_NTB_Y_ZOOMOUT       =wx.NewId()
-#_NTB_SUBPLOT            =wx.NewId()
-_NTB_SAVE            =wx.NewId()
-_NTB_CLOSE           =wx.NewId()
+        # docstring inherited
+        # Directly using SetClientSize doesn't handle the toolbar on Windows.
+        self.window.SetSize(self.window.ClientToWindowSize(wx.Size(
+            math.ceil(width), math.ceil(height))))
+
 
 def _load_bitmap(filename):
     """
-    Load a bitmap file from the backends/images subdirectory in which the
-    matplotlib library is installed. The filename parameter should not
-    contain any path information as this is determined automatically.
-
-    Returns a wx.Bitmap object
+    Load a wx.Bitmap from a file in the "images" directory of the Matplotlib
+    data.
     """
+    return wx.Bitmap(str(cbook._get_data_path('images', filename)))
 
-    basedir = os.path.join(rcParams['datapath'],'images')
-
-    bmpFilename = os.path.normpath(os.path.join(basedir, filename))
-    if not os.path.exists(bmpFilename):
-        raise IOError('Could not find bitmap file "%s"; dying'%bmpFilename)
-
-    bmp = wx.Bitmap(bmpFilename)
-    return bmp
 
-class MenuButtonWx(wx.Button):
-    """
-    wxPython does not permit a menu to be incorporated directly into a toolbar.
-    This class simulates the effect by associating a pop-up menu with a button
-    in the toolbar, and managing this as though it were a menu.
-    """
-    def __init__(self, parent):
-
-        wx.Button.__init__(self, parent, _NTB_AXISMENU_BUTTON, "Axes:        ",
-                          style=wx.BU_EXACTFIT)
-        self._toolbar = parent
-        self._menu =wx.Menu()
-        self._axisId = []
-        # First two menu items never change...
-        self._allId =wx.NewId()
-        self._invertId =wx.NewId()
-        self._menu.Append(self._allId, "All", "Select all axes", False)
-        self._menu.Append(self._invertId, "Invert", "Invert axes selected", False)
-        self._menu.AppendSeparator()
-
-        bind(self, wx.EVT_BUTTON, self._onMenuButton, id=_NTB_AXISMENU_BUTTON)
-        bind(self, wx.EVT_MENU, self._handleSelectAllAxes, id=self._allId)
-        bind(self, wx.EVT_MENU, self._handleInvertAxesSelected, id=self._invertId)
-
-    def Destroy(self):
-        self._menu.Destroy()
-        self.Destroy()
-
-    def _onMenuButton(self, evt):
-        """Handle menu button pressed."""
-        x, y = self.GetPositionTuple()
-        w, h = self.GetSizeTuple()
-        self.PopupMenuXY(self._menu, x, y+h-4)
-                # When menu returned, indicate selection in button
-        evt.Skip()
-
-    def _handleSelectAllAxes(self, evt):
-        """Called when the 'select all axes' menu item is selected."""
-        if len(self._axisId) == 0:
+def _set_frame_icon(frame):
+    bundle = wx.IconBundle()
+    for image in ('matplotlib.png', 'matplotlib_large.png'):
+        icon = wx.Icon(_load_bitmap(image))
+        if not icon.IsOk():
             return
-        for i in range(len(self._axisId)):
-            self._menu.Check(self._axisId[i], True)
-        self._toolbar.set_active(self.getActiveAxes())
-        evt.Skip()
-
-    def _handleInvertAxesSelected(self, evt):
-        """Called when the invert all menu item is selected"""
-        if len(self._axisId) == 0: return
-        for i in range(len(self._axisId)):
-            if self._menu.IsChecked(self._axisId[i]):
-                self._menu.Check(self._axisId[i], False)
-            else:
-                self._menu.Check(self._axisId[i], True)
-        self._toolbar.set_active(self.getActiveAxes())
-        evt.Skip()
-
-    def _onMenuItemSelected(self, evt):
-        """Called whenever one of the specific axis menu items is selected"""
-        current = self._menu.IsChecked(evt.GetId())
-        if current:
-            new = False
-        else:
-            new = True
-        self._menu.Check(evt.GetId(), new)
-        # Lines above would be deleted based on svn tracker ID 2841525;
-        # not clear whether this matters or not.
-        self._toolbar.set_active(self.getActiveAxes())
-        evt.Skip()
-
-    def updateAxes(self, maxAxis):
-        """Ensures that there are entries for max_axis axes in the menu
-        (selected by default)."""
-        if maxAxis > len(self._axisId):
-            for i in range(len(self._axisId) + 1, maxAxis + 1, 1):
-                menuId =wx.NewId()
-                self._axisId.append(menuId)
-                self._menu.Append(menuId, "Axis %d" % i, "Select axis %d" % i, True)
-                self._menu.Check(menuId, True)
-                bind(self, wx.EVT_MENU, self._onMenuItemSelected, id=menuId)
-        elif maxAxis < len(self._axisId):
-            for menuId in self._axisId[maxAxis:]:
-                self._menu.Delete(menuId)
-            self._axisId = self._axisId[:maxAxis]
-        self._toolbar.set_active(list(xrange(maxAxis)))
-
-    def getActiveAxes(self):
-        """Return a list of the selected axes."""
-        active = []
-        for i in range(len(self._axisId)):
-            if self._menu.IsChecked(self._axisId[i]):
-                active.append(i)
-        return active
-
-    def updateButtonText(self, lst):
-        """Update the list of selected axes in the menu button"""
-        axis_txt = ''
-        for e in lst:
-            axis_txt += '%d,' % (e+1)
-        # remove trailing ',' and add to button string
-        self.SetLabel("Axes: %s" % axis_txt[:-1])
-
-
-cursord = {
-    cursors.MOVE : wx.CURSOR_HAND,
-    cursors.HAND : wx.CURSOR_HAND,
-    cursors.POINTER : wx.CURSOR_ARROW,
-    cursors.SELECT_REGION : wx.CURSOR_CROSS,
-    }
-
-
-class SubplotToolWX(wx.Frame):
-    def __init__(self, targetfig):
-        wx.Frame.__init__(self, None, -1, "Configure subplots")
-
-        toolfig = Figure((6,3))
-        canvas = FigureCanvasWx(self, -1, toolfig)
-
-        # Create a figure manager to manage things
-        figmgr = FigureManager(canvas, 1, self)
-
-        # Now put all into a sizer
-        sizer = wx.BoxSizer(wx.VERTICAL)
-        # This way of adding to sizer allows resizing
-        sizer.Add(canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
-        self.SetSizer(sizer)
-        self.Fit()
-        tool = SubplotTool(targetfig, toolfig)
+        bundle.AddIcon(icon)
+    frame.SetIcons(bundle)
 
 
 class NavigationToolbar2Wx(NavigationToolbar2, wx.ToolBar):
-
-    def __init__(self, canvas):
-        wx.ToolBar.__init__(self, canvas.GetParent(), -1)
-        NavigationToolbar2.__init__(self, canvas)
-        self.canvas = canvas
-        self._idle = True
-        self.statbar = None
-
-    def get_canvas(self, frame, fig):
-        return FigureCanvasWx(frame, -1, fig)
-
-    def _init_toolbar(self):
-        DEBUG_MSG("_init_toolbar", 1, self)
-
-        self._parent = self.canvas.GetParent()
-
+    def __init__(self, canvas, coordinates=True, *, style=wx.TB_BOTTOM):
+        wx.ToolBar.__init__(self, canvas.GetParent(), -1, style=style)
+        if wx.Platform == '__WXMAC__':
+            self.SetToolBitmapSize(self.GetToolBitmapSize()*self.GetDPIScaleFactor())
 
         self.wx_ids = {}
         for text, tooltip_text, image_file, callback in self.toolitems:
             if text is None:
                 self.AddSeparator()
                 continue
-            self.wx_ids[text] = wx.NewId()
-            if text in ['Pan', 'Zoom']:
-               self.AddCheckTool(self.wx_ids[text], _load_bitmap(image_file + '.png'),
-                                 shortHelp=text, longHelp=tooltip_text)
-            else:
-               self.AddSimpleTool(self.wx_ids[text], _load_bitmap(image_file + '.png'),
-                                  text, tooltip_text)
-            bind(self, wx.EVT_TOOL, getattr(self, callback), id=self.wx_ids[text])
+            self.wx_ids[text] = (
+                self.AddTool(
+                    -1,
+                    bitmap=self._icon(f"{image_file}.svg"),
+                    bmpDisabled=wx.NullBitmap,
+                    label=text, shortHelp=tooltip_text,
+                    kind=(wx.ITEM_CHECK if text in ["Pan", "Zoom"]
+                          else wx.ITEM_NORMAL))
+                .Id)
+            self.Bind(wx.EVT_TOOL, getattr(self, callback),
+                      id=self.wx_ids[text])
+
+        self._coordinates = coordinates
+        if self._coordinates:
+            self.AddStretchableSpace()
+            self._label_text = wx.StaticText(self, style=wx.ALIGN_RIGHT)
+            self.AddControl(self._label_text)
 
         self.Realize()
 
-    def zoom(self, *args):
-        self.ToggleTool(self.wx_ids['Pan'], False)
-        NavigationToolbar2.zoom(self, *args)
-
-    def pan(self, *args):
-        self.ToggleTool(self.wx_ids['Zoom'], False)
-        NavigationToolbar2.pan(self, *args)
-
-    def configure_subplots(self, evt):
-        frame = wx.Frame(None, -1, "Configure subplots")
+        NavigationToolbar2.__init__(self, canvas)
 
-        toolfig = Figure((6,3))
-        canvas = self.get_canvas(frame, toolfig)
+    @staticmethod
+    def _icon(name):
+        """
+        Construct a `wx.Bitmap` suitable for use as icon from an image file
+        *name*, including the extension and relative to Matplotlib's "images"
+        data directory.
+        """
+        try:
+            dark = wx.SystemSettings.GetAppearance().IsDark()
+        except AttributeError:  # wxpython < 4.1
+            # copied from wx's IsUsingDarkBackground / GetLuminance.
+            bg = wx.SystemSettings.GetColour(wx.SYS_COLOUR_WINDOW)
+            fg = wx.SystemSettings.GetColour(wx.SYS_COLOUR_WINDOWTEXT)
+            # See wx.Colour.GetLuminance.
+            bg_lum = (.299 * bg.red + .587 * bg.green + .114 * bg.blue) / 255
+            fg_lum = (.299 * fg.red + .587 * fg.green + .114 * fg.blue) / 255
+            dark = fg_lum - bg_lum > .2
+
+        path = cbook._get_data_path('images', name)
+        if path.suffix == '.svg':
+            svg = path.read_bytes()
+            if dark:
+                svg = svg.replace(b'fill:black;', b'fill:white;')
+            toolbarIconSize = wx.ArtProvider().GetDIPSizeHint(wx.ART_TOOLBAR)
+            return wx.BitmapBundle.FromSVG(svg, toolbarIconSize)
+        else:
+            pilimg = PIL.Image.open(path)
+            # ensure RGBA as wx BitMap expects RGBA format
+            image = np.array(pilimg.convert("RGBA"))
+            if dark:
+                fg = wx.SystemSettings.GetColour(wx.SYS_COLOUR_WINDOWTEXT)
+                black_mask = (image[..., :3] == 0).all(axis=-1)
+                image[black_mask, :3] = (fg.Red(), fg.Green(), fg.Blue())
+            return wx.Bitmap.FromBufferRGBA(
+                image.shape[1], image.shape[0], image.tobytes())
+
+    def _update_buttons_checked(self):
+        if "Pan" in self.wx_ids:
+            self.ToggleTool(self.wx_ids["Pan"], self.mode.name == "PAN")
+        if "Zoom" in self.wx_ids:
+            self.ToggleTool(self.wx_ids["Zoom"], self.mode.name == "ZOOM")
 
-        # Create a figure manager to manage things
-        figmgr = FigureManager(canvas, 1, frame)
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
 
-        # Now put all into a sizer
-        sizer = wx.BoxSizer(wx.VERTICAL)
-        # This way of adding to sizer allows resizing
-        sizer.Add(canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
-        frame.SetSizer(sizer)
-        frame.Fit()
-        tool = SubplotTool(self.canvas.figure, toolfig)
-        frame.Show()
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
 
     def save_figure(self, *args):
         # Fetch the required filename and file type.
         filetypes, exts, filter_index = self.canvas._get_imagesave_wildcards()
         default_file = self.canvas.get_default_filename()
-        dlg = wx.FileDialog(self._parent, "Save to file", "", default_file,
-                            filetypes,
-                            wx.SAVE|wx.OVERWRITE_PROMPT)
-        dlg.SetFilterIndex(filter_index)
-        if dlg.ShowModal() == wx.ID_OK:
-            dirname  = dlg.GetDirectory()
-            filename = dlg.GetFilename()
-            DEBUG_MSG('Save file dir:%s name:%s' % (dirname, filename), 3, self)
-            format = exts[dlg.GetFilterIndex()]
-            basename, ext = os.path.splitext(filename)
-            if ext.startswith('.'):
-                ext = ext[1:]
-            if ext in ('svg', 'pdf', 'ps', 'eps', 'png') and format!=ext:
-                #looks like they forgot to set the image type drop
-                #down, going with the extension.
-                warnings.warn('extension %s did not match the selected image type %s; going with %s'%(ext, format, ext), stacklevel=0)
-                format = ext
+        dialog = wx.FileDialog(
+            self.canvas.GetParent(), "Save to file",
+            mpl.rcParams["savefig.directory"], default_file, filetypes,
+            wx.FD_SAVE | wx.FD_OVERWRITE_PROMPT)
+        dialog.SetFilterIndex(filter_index)
+        if dialog.ShowModal() == wx.ID_OK:
+            path = pathlib.Path(dialog.GetPath())
+            _log.debug('%s - Save file path: %s', type(self), path)
+            fmt = exts[dialog.GetFilterIndex()]
+            ext = path.suffix[1:]
+            if ext in self.canvas.get_supported_filetypes() and fmt != ext:
+                # looks like they forgot to set the image type drop
+                # down, going with the extension.
+                _log.warning('extension %s did not match the selected '
+                             'image type %s; going with %s',
+                             ext, fmt, ext)
+                fmt = ext
+            # Save dir for next time, unless empty str (which means use cwd).
+            if mpl.rcParams["savefig.directory"]:
+                mpl.rcParams["savefig.directory"] = str(path.parent)
             try:
-                self.canvas.print_figure(
-                    os.path.join(dirname, filename), format=format)
+                self.canvas.figure.savefig(path, format=fmt)
+                return path
             except Exception as e:
-                error_msg_wx(str(e))
-
-    def set_cursor(self, cursor):
-        cursor =wx.StockCursor(cursord[cursor])
-        self.canvas.SetCursor( cursor )
-
-    def release(self, event):
-        try: del self.lastrect
-        except AttributeError: pass
-
-    def dynamic_update(self):
-        d = self._idle
-        self._idle = False
-        if d:
-            self.canvas.draw()
-            self._idle = True
+                dialog = wx.MessageDialog(
+                    parent=self.canvas.GetParent(), message=str(e),
+                    caption='Matplotlib error')
+                dialog.ShowModal()
+                dialog.Destroy()
 
     def draw_rubberband(self, event, x0, y0, x1, y1):
-        'adapted from http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/189744'
-        canvas = self.canvas
-        dc =wx.ClientDC(canvas)
-
-        # Set logical function to XOR for rubberbanding
-        dc.SetLogicalFunction(wx.XOR)
+        height = self.canvas.figure.bbox.height
+        sf = 1 if wx.Platform == '__WXMSW__' else self.canvas.GetDPIScaleFactor()
+        self.canvas._rubberband_rect = (x0/sf, (height - y0)/sf,
+                                        x1/sf, (height - y1)/sf)
+        self.canvas.Refresh()
 
-        # Set dc brush and pen
-        # Here I set brush and pen to white and grey respectively
-        # You can set it to your own choices
+    def remove_rubberband(self):
+        self.canvas._rubberband_rect = None
+        self.canvas.Refresh()
 
-        # The brush setting is not really needed since we
-        # dont do any filling of the dc. It is set just for
-        # the sake of completion.
+    def set_message(self, s):
+        if self._coordinates:
+            self._label_text.SetLabel(s)
 
-        wbrush =wx.Brush(wx.Colour(255,255,255), wx.TRANSPARENT)
-        wpen =wx.Pen(wx.Colour(200, 200, 200), 1, wx.SOLID)
-        dc.SetBrush(wbrush)
-        dc.SetPen(wpen)
+    def set_history_buttons(self):
+        can_backward = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if 'Back' in self.wx_ids:
+            self.EnableTool(self.wx_ids['Back'], can_backward)
+        if 'Forward' in self.wx_ids:
+            self.EnableTool(self.wx_ids['Forward'], can_forward)
+
+
+# tools for matplotlib.backend_managers.ToolManager:
+
+class ToolbarWx(ToolContainerBase, wx.ToolBar):
+    _icon_extension = '.svg'
+
+    def __init__(self, toolmanager, parent=None, style=wx.TB_BOTTOM):
+        if parent is None:
+            parent = toolmanager.canvas.GetParent()
+        ToolContainerBase.__init__(self, toolmanager)
+        wx.ToolBar.__init__(self, parent, -1, style=style)
+        self._space = self.AddStretchableSpace()
+        self._label_text = wx.StaticText(self, style=wx.ALIGN_RIGHT)
+        self.AddControl(self._label_text)
+        self._toolitems = {}
+        self._groups = {}  # Mapping of groups to the separator after them.
+
+    def _get_tool_pos(self, tool):
+        """
+        Find the position (index) of a wx.ToolBarToolBase in a ToolBar.
 
+        ``ToolBar.GetToolPos`` is not useful because wx assigns the same Id to
+        all Separators and StretchableSpaces.
+        """
+        pos, = (pos for pos in range(self.ToolsCount)
+                if self.GetToolByPos(pos) == tool)
+        return pos
+
+    def add_toolitem(self, name, group, position, image_file, description,
+                     toggle):
+        # Find or create the separator that follows this group.
+        if group not in self._groups:
+            self._groups[group] = self.InsertSeparator(
+                self._get_tool_pos(self._space))
+        sep = self._groups[group]
+        # List all separators.
+        seps = [t for t in map(self.GetToolByPos, range(self.ToolsCount))
+                if t.IsSeparator() and not t.IsStretchableSpace()]
+        # Find where to insert the tool.
+        if position >= 0:
+            # Find the start of the group by looking for the separator
+            # preceding this one; then move forward from it.
+            start = (0 if sep == seps[0]
+                     else self._get_tool_pos(seps[seps.index(sep) - 1]) + 1)
+        else:
+            # Move backwards from this separator.
+            start = self._get_tool_pos(sep) + 1
+        idx = start + position
+        if image_file:
+            bmp = NavigationToolbar2Wx._icon(image_file)
+            kind = wx.ITEM_NORMAL if not toggle else wx.ITEM_CHECK
+            tool = self.InsertTool(idx, -1, name, bmp, wx.NullBitmap, kind,
+                                   description or "")
+        else:
+            size = (self.GetTextExtent(name)[0] + 10, -1)
+            if toggle:
+                control = wx.ToggleButton(self, -1, name, size=size)
+            else:
+                control = wx.Button(self, -1, name, size=size)
+            tool = self.InsertControl(idx, control, label=name)
+        self.Realize()
 
-        dc.ResetBoundingBox()
-        dc.BeginDrawing()
-        height = self.canvas.figure.bbox.height
-        y1 = height - y1
-        y0 = height - y0
+        def handler(event):
+            self.trigger_tool(name)
 
-        if y1<y0: y0, y1 = y1, y0
-        if x1<y0: x0, x1 = x1, x0
+        if image_file:
+            self.Bind(wx.EVT_TOOL, handler, tool)
+        else:
+            control.Bind(wx.EVT_LEFT_DOWN, handler)
 
-        w = x1 - x0
-        h = y1 - y0
+        self._toolitems.setdefault(name, [])
+        self._toolitems[name].append((tool, handler))
 
-        rect = int(x0), int(y0), int(w), int(h)
-        try: lastrect = self.lastrect
-        except AttributeError: pass
-        else: dc.DrawRectangle(*lastrect)  #erase last
-        self.lastrect = rect
-        dc.DrawRectangle(*rect)
-        dc.EndDrawing()
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for tool, handler in self._toolitems[name]:
+            if not tool.IsControl():
+                self.ToggleTool(tool.Id, toggled)
+            else:
+                tool.GetControl().SetValue(toggled)
+        self.Refresh()
 
-    def set_status_bar(self, statbar):
-        self.statbar = statbar
+    def remove_toolitem(self, name):
+        for tool, handler in self._toolitems.pop(name, []):
+            self.DeleteTool(tool.Id)
 
     def set_message(self, s):
-        if self.statbar is not None: self.statbar.set_function(s)
-
-    def set_history_buttons(self):
-        can_backward = (self._views._pos > 0)
-        can_forward = (self._views._pos < len(self._views._elements) - 1)
-        self.EnableTool(self.wx_ids['Back'], can_backward)
-        self.EnableTool(self.wx_ids['Forward'], can_forward)
-
+        self._label_text.SetLabel(s)
 
-class StatusBarWx(wx.StatusBar):
-    """
-    A status bar is added to _FigureFrame to allow measurements and the
-    previously selected scroll function to be displayed as a user
-    convenience.
-    """
-    def __init__(self, parent):
-        wx.StatusBar.__init__(self, parent, -1)
-        self.SetFieldsCount(2)
-        self.SetStatusText("None", 1)
-        #self.SetStatusText("Measurement: None", 2)
-        #self.Reposition()
 
-    def set_function(self, string):
-        self.SetStatusText("%s" % string, 1)
+@backend_tools._register_tool_class(_FigureCanvasWxBase)
+class ConfigureSubplotsWx(backend_tools.ConfigureSubplotsBase):
+    def trigger(self, *args):
+        NavigationToolbar2Wx.configure_subplots(self)
 
-    #def set_measurement(self, string):
-    #    self.SetStatusText("Measurement: %s" % string, 2)
 
+@backend_tools._register_tool_class(_FigureCanvasWxBase)
+class SaveFigureWx(backend_tools.SaveFigureBase):
+    def trigger(self, *args):
+        NavigationToolbar2Wx.save_figure(
+            self._make_classic_style_pseudo_toolbar())
 
-#< Additions for printing support: Matt Newville
 
-class PrintoutWx(wx.Printout):
-    """Simple wrapper around wx Printout class -- all the real work
-    here is scaling the matplotlib canvas bitmap to the current
-    printer's definition.
-    """
-    def __init__(self, canvas, width=5.5,margin=0.5, title='matplotlib'):
-        wx.Printout.__init__(self,title=title)
-        self.canvas = canvas
-        # width, in inches of output figure (approximate)
-        self.width  = width
-        self.margin = margin
+@backend_tools._register_tool_class(_FigureCanvasWxBase)
+class RubberbandWx(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        NavigationToolbar2Wx.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
 
-    def HasPage(self, page):
-        #current only supports 1 page print
-        return page == 1
+    def remove_rubberband(self):
+        NavigationToolbar2Wx.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
 
-    def GetPageInfo(self):
-        return (1, 1, 1, 1)
 
-    def OnPrintPage(self, page):
-        self.canvas.draw()
+class _HelpDialog(wx.Dialog):
+    _instance = None  # a reference to an open dialog singleton
+    headers = [("Action", "Shortcuts", "Description")]
+    widths = [100, 140, 300]
 
-        dc        = self.GetDC()
-        (ppw,pph) = self.GetPPIPrinter()      # printer's pixels per in
-        (pgw,pgh) = self.GetPageSizePixels()  # page size in pixels
-        (dcw,dch) = dc.GetSize()
-        (grw,grh) = self.canvas.GetSizeTuple()
-
-        # save current figure dpi resolution and bg color,
-        # so that we can temporarily set them to the dpi of
-        # the printer, and the bg color to white
-        bgcolor   = self.canvas.figure.get_facecolor()
-        fig_dpi   = self.canvas.figure.dpi
-
-        # draw the bitmap, scaled appropriately
-        vscale    = float(ppw) / fig_dpi
-
-        # set figure resolution,bg color for printer
-        self.canvas.figure.dpi = ppw
-        self.canvas.figure.set_facecolor('#FFFFFF')
-
-        renderer  = RendererWx(self.canvas.bitmap, self.canvas.figure.dpi)
-        self.canvas.figure.draw(renderer)
-        self.canvas.bitmap.SetWidth(  int(self.canvas.bitmap.GetWidth() * vscale))
-        self.canvas.bitmap.SetHeight( int(self.canvas.bitmap.GetHeight()* vscale))
-        self.canvas.draw()
+    def __init__(self, parent, help_entries):
+        super().__init__(parent, title="Help",
+                         style=wx.DEFAULT_DIALOG_STYLE | wx.RESIZE_BORDER)
 
-        # page may need additional scaling on preview
-        page_scale = 1.0
-        if self.IsPreview():   page_scale = float(dcw)/pgw
+        sizer = wx.BoxSizer(wx.VERTICAL)
+        grid_sizer = wx.FlexGridSizer(0, 3, 8, 6)
+        # create and add the entries
+        bold = self.GetFont().MakeBold()
+        for r, row in enumerate(self.headers + help_entries):
+            for (col, width) in zip(row, self.widths):
+                label = wx.StaticText(self, label=col)
+                if r == 0:
+                    label.SetFont(bold)
+                label.Wrap(width)
+                grid_sizer.Add(label, 0, 0, 0)
+        # finalize layout, create button
+        sizer.Add(grid_sizer, 0, wx.ALL, 6)
+        ok = wx.Button(self, wx.ID_OK)
+        sizer.Add(ok, 0, wx.ALIGN_CENTER_HORIZONTAL | wx.ALL, 8)
+        self.SetSizer(sizer)
+        sizer.Fit(self)
+        self.Layout()
+        self.Bind(wx.EVT_CLOSE, self._on_close)
+        ok.Bind(wx.EVT_BUTTON, self._on_close)
+
+    def _on_close(self, event):
+        _HelpDialog._instance = None  # remove global reference
+        self.DestroyLater()
+        event.Skip()
+
+    @classmethod
+    def show(cls, parent, help_entries):
+        # if no dialog is shown, create one; otherwise just re-raise it
+        if cls._instance:
+            cls._instance.Raise()
+            return
+        cls._instance = cls(parent, help_entries)
+        cls._instance.Show()
 
-        # get margin in pixels = (margin in in) * (pixels/in)
-        top_margin  = int(self.margin * pph * page_scale)
-        left_margin = int(self.margin * ppw * page_scale)
 
-        # set scale so that width of output is self.width inches
-        # (assuming grw is size of graph in inches....)
-        user_scale = (self.width * fig_dpi * page_scale)/float(grw)
+@backend_tools._register_tool_class(_FigureCanvasWxBase)
+class HelpWx(backend_tools.ToolHelpBase):
+    def trigger(self, *args):
+        _HelpDialog.show(self.figure.canvas.GetTopLevelParent(),
+                         self._get_help_entries())
 
-        dc.SetDeviceOrigin(left_margin,top_margin)
-        dc.SetUserScale(user_scale,user_scale)
 
-        # this cute little number avoid API inconsistencies in wx
+@backend_tools._register_tool_class(_FigureCanvasWxBase)
+class ToolCopyToClipboardWx(backend_tools.ToolCopyToClipboardBase):
+    def trigger(self, *args, **kwargs):
+        if not self.canvas._isDrawn:
+            self.canvas.draw()
+        if not self.canvas.bitmap.IsOk() or not wx.TheClipboard.Open():
+            return
         try:
-            dc.DrawBitmap(self.canvas.bitmap, 0, 0)
-        except:
-            try:
-                dc.DrawBitmap(self.canvas.bitmap, (0, 0))
-            except:
-                pass
+            wx.TheClipboard.SetData(wx.BitmapDataObject(self.canvas.bitmap))
+        finally:
+            wx.TheClipboard.Close()
 
-        # restore original figure  resolution
-        self.canvas.figure.set_facecolor(bgcolor)
-        self.canvas.figure.dpi = fig_dpi
-        self.canvas.draw()
-        return True
-#>
 
-########################################################################
-#
-# Now just provide the standard names that backend.__init__ is expecting
-#
-########################################################################
+FigureManagerWx._toolbar2_class = NavigationToolbar2Wx
+FigureManagerWx._toolmanager_toolbar_class = ToolbarWx
+
 
-FigureCanvas = FigureCanvasWx
-FigureManager = FigureManagerWx
-Toolbar = NavigationToolbar2Wx
+@_Backend.export
+class _BackendWx(_Backend):
+    FigureCanvas = FigureCanvasWx
+    FigureManager = FigureManagerWx
+    mainloop = FigureManagerWx.start_main_loop
diff --git a/lib/matplotlib/backends/backend_wxagg.py b/lib/matplotlib/backends/backend_wxagg.py
index 5dd01030560b..ab7703ffa02b 100644
--- a/lib/matplotlib/backends/backend_wxagg.py
+++ b/lib/matplotlib/backends/backend_wxagg.py
@@ -1,194 +1,45 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib
-from matplotlib.figure import Figure
-
-from .backend_agg import FigureCanvasAgg
-from . import backend_wx    # already uses wxversion.ensureMinimal('2.8')
-from .backend_wx import FigureManagerWx, FigureCanvasWx, \
-    FigureFrameWx, DEBUG_MSG, NavigationToolbar2Wx, error_msg_wx, \
-    draw_if_interactive, show, Toolbar, backend_version
 import wx
 
+from .backend_agg import FigureCanvasAgg
+from .backend_wx import _BackendWx, _FigureCanvasWxBase
+from .backend_wx import (  # noqa: F401 # pylint: disable=W0611
+    NavigationToolbar2Wx as NavigationToolbar2WxAgg)
 
-class FigureFrameWxAgg(FigureFrameWx):
-    def get_canvas(self, fig):
-        return FigureCanvasWxAgg(self, -1, fig)
-
-    def _get_toolbar(self, statbar):
-        if matplotlib.rcParams['toolbar']=='toolbar2':
-            toolbar = NavigationToolbar2WxAgg(self.canvas)
-            toolbar.set_status_bar(statbar)
-        else:
-            toolbar = None
-        return toolbar
-
-
-class FigureCanvasWxAgg(FigureCanvasAgg, FigureCanvasWx):
-    """
-    The FigureCanvas contains the figure and does event handling.
-
-    In the wxPython backend, it is derived from wxPanel, and (usually)
-    lives inside a frame instantiated by a FigureManagerWx. The parent
-    window probably implements a wxSizer to control the displayed
-    control size - but we give a hint as to our preferred minimum
-    size.
-    """
 
+class FigureCanvasWxAgg(FigureCanvasAgg, _FigureCanvasWxBase):
     def draw(self, drawDC=None):
         """
         Render the figure using agg.
         """
-        DEBUG_MSG("draw()", 1, self)
         FigureCanvasAgg.draw(self)
-
-        self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
+        self.bitmap = self._create_bitmap()
         self._isDrawn = True
         self.gui_repaint(drawDC=drawDC)
 
     def blit(self, bbox=None):
-        """
-        Transfer the region of the agg buffer defined by bbox to the display.
-        If bbox is None, the entire buffer is transferred.
-        """
+        # docstring inherited
+        bitmap = self._create_bitmap()
         if bbox is None:
-            self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
-            self.gui_repaint()
-            return
-
-        l, b, w, h = bbox.bounds
-        r = l + w
-        t = b + h
-        x = int(l)
-        y = int(self.bitmap.GetHeight() - t)
-
-        srcBmp = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
-        srcDC = wx.MemoryDC()
-        srcDC.SelectObject(srcBmp)
-
-        destDC = wx.MemoryDC()
-        destDC.SelectObject(self.bitmap)
-
-        destDC.BeginDrawing()
-        destDC.Blit(x, y, int(w), int(h), srcDC, x, y)
-        destDC.EndDrawing()
-
-        destDC.SelectObject(wx.NullBitmap)
-        srcDC.SelectObject(wx.NullBitmap)
+            self.bitmap = bitmap
+        else:
+            srcDC = wx.MemoryDC(bitmap)
+            destDC = wx.MemoryDC(self.bitmap)
+            x = int(bbox.x0)
+            y = int(self.bitmap.GetHeight() - bbox.y1)
+            destDC.Blit(x, y, int(bbox.width), int(bbox.height), srcDC, x, y)
+            destDC.SelectObject(wx.NullBitmap)
+            srcDC.SelectObject(wx.NullBitmap)
         self.gui_repaint()
 
-    filetypes = FigureCanvasAgg.filetypes
-
-    def print_figure(self, filename, *args, **kwargs):
-        # Use pure Agg renderer to draw
-        FigureCanvasAgg.print_figure(self, filename, *args, **kwargs)
-        # Restore the current view; this is needed because the
-        # artist contains methods rely on particular attributes
-        # of the rendered figure for determining things like
-        # bounding boxes.
-        if self._isDrawn:
-            self.draw()
-
-
-class NavigationToolbar2WxAgg(NavigationToolbar2Wx):
-    def get_canvas(self, frame, fig):
-        return FigureCanvasWxAgg(frame, -1, fig)
-
-
-def new_figure_manager(num, *args, **kwargs):
-    """
-    Create a new figure manager instance
-    """
-    # in order to expose the Figure constructor to the pylab
-    # interface we need to create the figure here
-    DEBUG_MSG("new_figure_manager()", 3, None)
-    backend_wx._create_wx_app()
-
-    FigureClass = kwargs.pop('FigureClass', Figure)
-    fig = FigureClass(*args, **kwargs)
-
-    return new_figure_manager_given_figure(num, fig)
-
-def new_figure_manager_given_figure(num, figure):
-    """
-    Create a new figure manager instance for the given figure.
-    """
-    frame = FigureFrameWxAgg(num, figure)
-    figmgr = frame.get_figure_manager()
-    if matplotlib.is_interactive():
-        figmgr.frame.Show()
-    return figmgr
-
-
-#
-# agg/wxPython image conversion functions (wxPython >= 2.8)
-#
-
-def _convert_agg_to_wx_image(agg, bbox):
-    """
-    Convert the region of the agg buffer bounded by bbox to a wx.Image.  If
-    bbox is None, the entire buffer is converted.
-
-    Note: agg must be a backend_agg.RendererAgg instance.
-    """
-    if bbox is None:
-        # agg => rgb -> image
-        image = wx.EmptyImage(int(agg.width), int(agg.height))
-        image.SetData(agg.tostring_rgb())
-        return image
-    else:
-        # agg => rgba buffer -> bitmap => clipped bitmap => image
-        return wx.ImageFromBitmap(_WX28_clipped_agg_as_bitmap(agg, bbox))
-
-
-def _convert_agg_to_wx_bitmap(agg, bbox):
-    """
-    Convert the region of the agg buffer bounded by bbox to a wx.Bitmap.  If
-    bbox is None, the entire buffer is converted.
-
-    Note: agg must be a backend_agg.RendererAgg instance.
-    """
-    if bbox is None:
-        # agg => rgba buffer -> bitmap
-        return wx.BitmapFromBufferRGBA(int(agg.width), int(agg.height),
-            agg.buffer_rgba())
-    else:
-        # agg => rgba buffer -> bitmap => clipped bitmap
-        return _WX28_clipped_agg_as_bitmap(agg, bbox)
-
-
-def _WX28_clipped_agg_as_bitmap(agg, bbox):
-    """
-    Convert the region of a the agg buffer bounded by bbox to a wx.Bitmap.
-
-    Note: agg must be a backend_agg.RendererAgg instance.
-    """
-    l, b, width, height = bbox.bounds
-    r = l + width
-    t = b + height
-
-    srcBmp = wx.BitmapFromBufferRGBA(int(agg.width), int(agg.height),
-        agg.buffer_rgba())
-    srcDC = wx.MemoryDC()
-    srcDC.SelectObject(srcBmp)
-
-    destBmp = wx.EmptyBitmap(int(width), int(height))
-    destDC = wx.MemoryDC()
-    destDC.SelectObject(destBmp)
-
-    destDC.BeginDrawing()
-    x = int(l)
-    y = int(int(agg.height) - t)
-    destDC.Blit(0, 0, int(width), int(height), srcDC, x, y)
-    destDC.EndDrawing()
-
-    srcDC.SelectObject(wx.NullBitmap)
-    destDC.SelectObject(wx.NullBitmap)
+    def _create_bitmap(self):
+        """Create a wx.Bitmap from the renderer RGBA buffer"""
+        rgba = self.get_renderer().buffer_rgba()
+        h, w, _ = rgba.shape
+        bitmap = wx.Bitmap.FromBufferRGBA(w, h, rgba)
+        bitmap.SetScaleFactor(self.GetDPIScaleFactor())
+        return bitmap
 
-    return destBmp
 
-FigureCanvas = FigureCanvasWxAgg
-FigureManager = FigureManagerWx
+@_BackendWx.export
+class _BackendWxAgg(_BackendWx):
+    FigureCanvas = FigureCanvasWxAgg
diff --git a/lib/matplotlib/backends/backend_wxcairo.py b/lib/matplotlib/backends/backend_wxcairo.py
new file mode 100644
index 000000000000..c53e6af4b873
--- /dev/null
+++ b/lib/matplotlib/backends/backend_wxcairo.py
@@ -0,0 +1,23 @@
+import wx.lib.wxcairo as wxcairo
+
+from .backend_cairo import cairo, FigureCanvasCairo
+from .backend_wx import _BackendWx, _FigureCanvasWxBase
+from .backend_wx import (  # noqa: F401 # pylint: disable=W0611
+    NavigationToolbar2Wx as NavigationToolbar2WxCairo)
+
+
+class FigureCanvasWxCairo(FigureCanvasCairo, _FigureCanvasWxBase):
+    def draw(self, drawDC=None):
+        size = self.figure.bbox.size.astype(int)
+        surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, *size)
+        self._renderer.set_context(cairo.Context(surface))
+        self._renderer.dpi = self.figure.dpi
+        self.figure.draw(self._renderer)
+        self.bitmap = wxcairo.BitmapFromImageSurface(surface)
+        self._isDrawn = True
+        self.gui_repaint(drawDC=drawDC)
+
+
+@_BackendWx.export
+class _BackendWxCairo(_BackendWx):
+    FigureCanvas = FigureCanvasWxCairo
diff --git a/lib/matplotlib/backends/meson.build b/lib/matplotlib/backends/meson.build
new file mode 100644
index 000000000000..1e3e47c0a915
--- /dev/null
+++ b/lib/matplotlib/backends/meson.build
@@ -0,0 +1,50 @@
+python_sources = [
+  '__init__.py',
+  'backend_agg.py',
+  'backend_cairo.py',
+  '_backend_gtk.py',
+  'backend_gtk3.py',
+  'backend_gtk3agg.py',
+  'backend_gtk3cairo.py',
+  'backend_gtk4.py',
+  'backend_gtk4agg.py',
+  'backend_gtk4cairo.py',
+  'backend_macosx.py',
+  'backend_mixed.py',
+  'backend_nbagg.py',
+  '_backend_pdf_ps.py',
+  'backend_pdf.py',
+  'backend_pgf.py',
+  'backend_ps.py',
+  'backend_qt.py',
+  'backend_qtagg.py',
+  'backend_qtcairo.py',
+  'backend_qt5.py',
+  'backend_qt5agg.py',
+  'backend_qt5cairo.py',
+  'backend_svg.py',
+  'backend_template.py',
+  '_backend_tk.py',
+  'backend_tkagg.py',
+  'backend_tkcairo.py',
+  'backend_webagg.py',
+  'backend_webagg_core.py',
+  'backend_wx.py',
+  'backend_wxagg.py',
+  'backend_wxcairo.py',
+  'qt_compat.py',
+  'registry.py',
+]
+
+typing_sources = [
+  # Compiled extension types.
+  '_backend_agg.pyi',
+  '_macosx.pyi',
+  '_tkagg.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/backends')
+
+subdir('qt_editor')
+subdir('web_backend')
diff --git a/lib/matplotlib/backends/qt4_compat.py b/lib/matplotlib/backends/qt4_compat.py
deleted file mode 100644
index b425e0290ba0..000000000000
--- a/lib/matplotlib/backends/qt4_compat.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import warnings
-from matplotlib.cbook import mplDeprecation
-_warn_str = ("This module has been deprecated in 1.4 in favor "
-             "of matplotlib.backends.qt_compat\n"
-             "This module will be removed in 1.5, please update "
-             "your imports.")
-# bulk-imports because we are pretending that file is this file
-from .qt_compat import *
-
-
-warnings.warn(_warn_str, mplDeprecation)
diff --git a/lib/matplotlib/backends/qt_compat.py b/lib/matplotlib/backends/qt_compat.py
index e5983c49b84f..b57a98b1138a 100644
--- a/lib/matplotlib/backends/qt_compat.py
+++ b/lib/matplotlib/backends/qt_compat.py
@@ -1,143 +1,159 @@
-""" A Qt API selector that can be used to switch between PyQt and PySide.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+Qt binding and backend selector.
+
+The selection logic is as follows:
+- if any of PyQt6, PySide6, PyQt5, or PySide2 have already been
+  imported (checked in that order), use it;
+- otherwise, if the QT_API environment variable (used by Enthought) is set, use
+  it to determine which binding to use;
+- otherwise, use whatever the rcParams indicate.
+"""
 
+import operator
 import os
-from matplotlib import rcParams, verbose
-
-# Available APIs.
-QT_API_PYQT = 'PyQt4'       # API is not set here; Python 2.x default is V 1
-QT_API_PYQTv2 = 'PyQt4v2'   # forced to Version 2 API
-QT_API_PYSIDE = 'PySide'    # only supports Version 2 API
-QT_API_PYQT5 = 'PyQt5'       # use PyQt5 API; Version 2 with module shim
-
-ETS = dict(pyqt=(QT_API_PYQTv2, 4), pyside=(QT_API_PYSIDE, 4),
-           pyqt5=(QT_API_PYQT5, 5))
-# ETS is a dict of env variable to (QT_API, QT_MAJOR_VERSION)
-# If the ETS QT_API environment variable is set, use it, but only
-# if the varible if of the same major QT version.  Note that
-# ETS requires the version 2 of PyQt4, which is not the platform
-# default for Python 2.x.
-
-QT_API_ENV = os.environ.get('QT_API')
-
-if rcParams['backend'] == 'Qt5Agg':
-    QT_RC_MAJOR_VERSION = 5
-else:
-    QT_RC_MAJOR_VERSION = 4
-
-QT_API = None
-
-if (QT_API_ENV is not None):
-    try:
-        QT_ENV_MAJOR_VERSION = ETS[QT_API_ENV][1]
-    except KeyError:
-        raise RuntimeError(
-            ('Unrecognized environment variable %r, valid values are:'
-             ' %r, %r or %r' % (QT_API_ENV, 'pyqt', 'pyside', 'pyqt5')))
-    if QT_ENV_MAJOR_VERSION == QT_RC_MAJOR_VERSION:
-        # Only if backend and env qt major version are
-        # compatible use the env variable.
-        QT_API = ETS[QT_API_ENV][0]
-
-if QT_API is None:
-    # No ETS environment or incompatible so use rcParams.
-    if rcParams['backend'] == 'Qt5Agg':
-        QT_API = rcParams['backend.qt5']
+import platform
+import sys
+
+from packaging.version import parse as parse_version
+
+import matplotlib as mpl
+
+from . import _QT_FORCE_QT5_BINDING
+
+QT_API_PYQT6 = "PyQt6"
+QT_API_PYSIDE6 = "PySide6"
+QT_API_PYQT5 = "PyQt5"
+QT_API_PYSIDE2 = "PySide2"
+QT_API_ENV = os.environ.get("QT_API")
+if QT_API_ENV is not None:
+    QT_API_ENV = QT_API_ENV.lower()
+_ETS = {  # Mapping of QT_API_ENV to requested binding.
+    "pyqt6": QT_API_PYQT6, "pyside6": QT_API_PYSIDE6,
+    "pyqt5": QT_API_PYQT5, "pyside2": QT_API_PYSIDE2,
+}
+# First, check if anything is already imported.
+if sys.modules.get("PyQt6.QtCore"):
+    QT_API = QT_API_PYQT6
+elif sys.modules.get("PySide6.QtCore"):
+    QT_API = QT_API_PYSIDE6
+elif sys.modules.get("PyQt5.QtCore"):
+    QT_API = QT_API_PYQT5
+elif sys.modules.get("PySide2.QtCore"):
+    QT_API = QT_API_PYSIDE2
+# Otherwise, check the QT_API environment variable (from Enthought).  This can
+# only override the binding, not the backend (in other words, we check that the
+# requested backend actually matches).  Use _get_backend_or_none to avoid
+# triggering backend resolution (which can result in a partially but
+# incompletely imported backend_qt5).
+elif (mpl.rcParams._get_backend_or_none() or "").lower().startswith("qt5"):
+    if QT_API_ENV in ["pyqt5", "pyside2"]:
+        QT_API = _ETS[QT_API_ENV]
     else:
-        QT_API = rcParams['backend.qt4']
+        _QT_FORCE_QT5_BINDING = True  # noqa: F811
+        QT_API = None
+# A non-Qt backend was selected but we still got there (possible, e.g., when
+# fully manually embedding Matplotlib in a Qt app without using pyplot).
+elif QT_API_ENV is None:
+    QT_API = None
+elif QT_API_ENV in _ETS:
+    QT_API = _ETS[QT_API_ENV]
+else:
+    raise RuntimeError(
+        "The environment variable QT_API has the unrecognized value {!r}; "
+        "valid values are {}".format(QT_API_ENV, ", ".join(_ETS)))
 
-# We will define an appropriate wrapper for the differing versions
-# of file dialog.
-_getSaveFileName = None
 
-# Flag to check if sip could be imported
-_sip_imported = False
+def _setup_pyqt5plus():
+    global QtCore, QtGui, QtWidgets, __version__
+    global _isdeleted, _to_int
 
-# Now perform the imports.
-if QT_API in (QT_API_PYQT, QT_API_PYQTv2, QT_API_PYQT5):
-    try:
-        import sip
-        _sip_imported = True
-    except ImportError:
-        # Try using PySide
-        QT_API = QT_API_PYSIDE
-
-if _sip_imported:
-    if QT_API == QT_API_PYQTv2:
-        if QT_API_ENV == 'pyqt':
-            cond = ("Found 'QT_API=pyqt' environment variable. "
-                    "Setting PyQt4 API accordingly.\n")
+    if QT_API == QT_API_PYQT6:
+        from PyQt6 import QtCore, QtGui, QtWidgets, sip
+        __version__ = QtCore.PYQT_VERSION_STR
+        QtCore.Signal = QtCore.pyqtSignal
+        QtCore.Slot = QtCore.pyqtSlot
+        QtCore.Property = QtCore.pyqtProperty
+        _isdeleted = sip.isdeleted
+        _to_int = operator.attrgetter('value')
+    elif QT_API == QT_API_PYSIDE6:
+        from PySide6 import QtCore, QtGui, QtWidgets, __version__
+        import shiboken6
+        def _isdeleted(obj): return not shiboken6.isValid(obj)
+        if parse_version(__version__) >= parse_version('6.4'):
+            _to_int = operator.attrgetter('value')
         else:
-            cond = "PyQt API v2 specified."
-        try:
-            sip.setapi('QString', 2)
-        except:
-            res = 'QString API v2 specification failed. Defaulting to v1.'
-            verbose.report(cond + res, 'helpful')
-            # condition has now been reported, no need to repeat it:
-            cond = ""
+            _to_int = int
+    elif QT_API == QT_API_PYQT5:
+        from PyQt5 import QtCore, QtGui, QtWidgets
+        import sip
+        __version__ = QtCore.PYQT_VERSION_STR
+        QtCore.Signal = QtCore.pyqtSignal
+        QtCore.Slot = QtCore.pyqtSlot
+        QtCore.Property = QtCore.pyqtProperty
+        _isdeleted = sip.isdeleted
+        _to_int = int
+    elif QT_API == QT_API_PYSIDE2:
+        from PySide2 import QtCore, QtGui, QtWidgets, __version__
         try:
-            sip.setapi('QVariant', 2)
-        except:
-            res = 'QVariant API v2 specification failed. Defaulting to v1.'
-            verbose.report(cond + res, 'helpful')
-
-    if QT_API in [QT_API_PYQT, QT_API_PYQTv2]:  # PyQt4 API
+            from PySide2 import shiboken2
+        except ImportError:
+            import shiboken2
+        def _isdeleted(obj):
+            return not shiboken2.isValid(obj)
+        _to_int = int
+    else:
+        raise AssertionError(f"Unexpected QT_API: {QT_API}")
 
-        from PyQt4 import QtCore, QtGui
 
+if QT_API in [QT_API_PYQT6, QT_API_PYQT5, QT_API_PYSIDE6, QT_API_PYSIDE2]:
+    _setup_pyqt5plus()
+elif QT_API is None:  # See above re: dict.__getitem__.
+    if _QT_FORCE_QT5_BINDING:
+        _candidates = [
+            (_setup_pyqt5plus, QT_API_PYQT5),
+            (_setup_pyqt5plus, QT_API_PYSIDE2),
+        ]
+    else:
+        _candidates = [
+            (_setup_pyqt5plus, QT_API_PYQT6),
+            (_setup_pyqt5plus, QT_API_PYSIDE6),
+            (_setup_pyqt5plus, QT_API_PYQT5),
+            (_setup_pyqt5plus, QT_API_PYSIDE2),
+        ]
+    for _setup, QT_API in _candidates:
         try:
-            if sip.getapi("QString") > 1:
-                # Use new getSaveFileNameAndFilter()
-                _getSaveFileName = QtGui.QFileDialog.getSaveFileNameAndFilter
-            else:
-
-                # Use old getSaveFileName()
-                def _getSaveFileName(*args, **kwargs):
-                    return (QtGui.QFileDialog.getSaveFileName(*args, **kwargs),
-                            None)
-
-        except (AttributeError, KeyError):
-
-            # call to getapi() can fail in older versions of sip
-            def _getSaveFileName(*args, **kwargs):
-                return QtGui.QFileDialog.getSaveFileName(*args, **kwargs), None
-
-    else:  # PyQt5 API
-        from PyQt5 import QtCore, QtGui, QtWidgets
-        _getSaveFileName = QtWidgets.QFileDialog.getSaveFileName
+            _setup()
+        except ImportError:
+            continue
+        break
+    else:
+        raise ImportError(
+            "Failed to import any of the following Qt binding modules: {}"
+            .format(", ".join([QT_API for _, QT_API in _candidates]))
+        )
+else:  # We should not get there.
+    raise AssertionError(f"Unexpected QT_API: {QT_API}")
+_version_info = tuple(QtCore.QLibraryInfo.version().segments())
 
-    # Alias PyQt-specific functions for PySide compatibility.
-    QtCore.Signal = QtCore.pyqtSignal
-    try:
-        QtCore.Slot = QtCore.pyqtSlot
-    except AttributeError:
-        # Not a perfect match but works in simple cases
-        QtCore.Slot = QtCore.pyqtSignature
 
-    QtCore.Property = QtCore.pyqtProperty
-    __version__ = QtCore.PYQT_VERSION_STR
+if _version_info < (5, 12):
+    raise ImportError(
+        f"The Qt version imported is "
+        f"{QtCore.QLibraryInfo.version().toString()} but Matplotlib requires "
+        f"Qt>=5.12")
 
-else:  # try importing pyside
-    from PySide import QtCore, QtGui, __version__, __version_info__
-    if __version_info__ < (1, 0, 3):
-        raise ImportError(
-            "Matplotlib backend_qt4 and backend_qt4agg require PySide >=1.0.3")
 
-    _getSaveFileName = QtGui.QFileDialog.getSaveFileName
+# Fixes issues with Big Sur
+# https://bugreports.qt.io/browse/QTBUG-87014, fixed in qt 5.15.2
+if (sys.platform == 'darwin' and
+        parse_version(platform.mac_ver()[0]) >= parse_version("10.16") and
+        _version_info < (5, 15, 2)):
+    os.environ.setdefault("QT_MAC_WANTS_LAYER", "1")
 
 
-# Apply shim to Qt4 APIs to make them look like Qt5
-if QT_API in (QT_API_PYQT, QT_API_PYQTv2, QT_API_PYSIDE):
-    '''Import all used QtGui objects into QtWidgets
+# Backports.
 
-    Here I've opted to simple copy QtGui into QtWidgets as that
-    achieves the same result as copying over the objects, and will
-    continue to work if other objects are used.
 
-    '''
-    QtWidgets = QtGui
+def _exec(obj):
+    # exec on PyQt6, exec_ elsewhere.
+    obj.exec() if hasattr(obj, "exec") else obj.exec_()
diff --git a/lib/matplotlib/backends/qt_editor/__init__.py b/lib/matplotlib/backends/qt_editor/__init__.py
index 800d82e7ee00..e69de29bb2d1 100644
--- a/lib/matplotlib/backends/qt_editor/__init__.py
+++ b/lib/matplotlib/backends/qt_editor/__init__.py
@@ -1,2 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
diff --git a/lib/matplotlib/backends/qt_editor/_formlayout.py b/lib/matplotlib/backends/qt_editor/_formlayout.py
new file mode 100644
index 000000000000..fcf73cefbac8
--- /dev/null
+++ b/lib/matplotlib/backends/qt_editor/_formlayout.py
@@ -0,0 +1,592 @@
+"""
+formlayout
+==========
+
+Module creating Qt form dialogs/layouts to edit various type of parameters
+
+
+formlayout License Agreement (MIT License)
+------------------------------------------
+
+Copyright (c) 2009 Pierre Raybaut
+
+Permission is hereby granted, free of charge, to any person
+obtaining a copy of this software and associated documentation
+files (the "Software"), to deal in the Software without
+restriction, including without limitation the rights to use,
+copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the
+Software is furnished to do so, subject to the following
+conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+OTHER DEALINGS IN THE SOFTWARE.
+"""
+
+# History:
+# 1.0.10: added float validator
+#         (disable "Ok" and "Apply" button when not valid)
+# 1.0.7: added support for "Apply" button
+# 1.0.6: code cleaning
+
+__version__ = '1.0.10'
+__license__ = __doc__
+
+from ast import literal_eval
+
+import copy
+import datetime
+import logging
+from numbers import Integral, Real
+
+from matplotlib import _api, colors as mcolors
+from matplotlib.backends.qt_compat import _to_int, QtGui, QtWidgets, QtCore
+
+_log = logging.getLogger(__name__)
+
+BLACKLIST = {"title", "label"}
+
+
+class ColorButton(QtWidgets.QPushButton):
+    """
+    Color choosing push button
+    """
+    colorChanged = QtCore.Signal(QtGui.QColor)
+
+    def __init__(self, parent=None):
+        super().__init__(parent)
+        self.setFixedSize(20, 20)
+        self.setIconSize(QtCore.QSize(12, 12))
+        self.clicked.connect(self.choose_color)
+        self._color = QtGui.QColor()
+
+    def choose_color(self):
+        color = QtWidgets.QColorDialog.getColor(
+            self._color, self.parentWidget(), "",
+            QtWidgets.QColorDialog.ColorDialogOption.ShowAlphaChannel)
+        if color.isValid():
+            self.set_color(color)
+
+    def get_color(self):
+        return self._color
+
+    @QtCore.Slot(QtGui.QColor)
+    def set_color(self, color):
+        if color != self._color:
+            self._color = color
+            self.colorChanged.emit(self._color)
+            pixmap = QtGui.QPixmap(self.iconSize())
+            pixmap.fill(color)
+            self.setIcon(QtGui.QIcon(pixmap))
+
+    color = QtCore.Property(QtGui.QColor, get_color, set_color)
+
+
+def to_qcolor(color):
+    """Create a QColor from a matplotlib color"""
+    qcolor = QtGui.QColor()
+    try:
+        rgba = mcolors.to_rgba(color)
+    except ValueError:
+        _api.warn_external(f'Ignoring invalid color {color!r}')
+        return qcolor  # return invalid QColor
+    qcolor.setRgbF(*rgba)
+    return qcolor
+
+
+class ColorLayout(QtWidgets.QHBoxLayout):
+    """Color-specialized QLineEdit layout"""
+    def __init__(self, color, parent=None):
+        super().__init__()
+        assert isinstance(color, QtGui.QColor)
+        self.lineedit = QtWidgets.QLineEdit(
+            mcolors.to_hex(color.getRgbF(), keep_alpha=True), parent)
+        self.lineedit.editingFinished.connect(self.update_color)
+        self.addWidget(self.lineedit)
+        self.colorbtn = ColorButton(parent)
+        self.colorbtn.color = color
+        self.colorbtn.colorChanged.connect(self.update_text)
+        self.addWidget(self.colorbtn)
+
+    def update_color(self):
+        color = self.text()
+        qcolor = to_qcolor(color)  # defaults to black if not qcolor.isValid()
+        self.colorbtn.color = qcolor
+
+    def update_text(self, color):
+        self.lineedit.setText(mcolors.to_hex(color.getRgbF(), keep_alpha=True))
+
+    def text(self):
+        return self.lineedit.text()
+
+
+def font_is_installed(font):
+    """Check if font is installed"""
+    return [fam for fam in QtGui.QFontDatabase().families()
+            if str(fam) == font]
+
+
+def tuple_to_qfont(tup):
+    """
+    Create a QFont from tuple:
+        (family [string], size [int], italic [bool], bold [bool])
+    """
+    if not (isinstance(tup, tuple) and len(tup) == 4
+            and font_is_installed(tup[0])
+            and isinstance(tup[1], Integral)
+            and isinstance(tup[2], bool)
+            and isinstance(tup[3], bool)):
+        return None
+    font = QtGui.QFont()
+    family, size, italic, bold = tup
+    font.setFamily(family)
+    font.setPointSize(size)
+    font.setItalic(italic)
+    font.setBold(bold)
+    return font
+
+
+def qfont_to_tuple(font):
+    return (str(font.family()), int(font.pointSize()),
+            font.italic(), font.bold())
+
+
+class FontLayout(QtWidgets.QGridLayout):
+    """Font selection"""
+    def __init__(self, value, parent=None):
+        super().__init__()
+        font = tuple_to_qfont(value)
+        assert font is not None
+
+        # Font family
+        self.family = QtWidgets.QFontComboBox(parent)
+        self.family.setCurrentFont(font)
+        self.addWidget(self.family, 0, 0, 1, -1)
+
+        # Font size
+        self.size = QtWidgets.QComboBox(parent)
+        self.size.setEditable(True)
+        sizelist = [*range(6, 12), *range(12, 30, 2), 36, 48, 72]
+        size = font.pointSize()
+        if size not in sizelist:
+            sizelist.append(size)
+            sizelist.sort()
+        self.size.addItems([str(s) for s in sizelist])
+        self.size.setCurrentIndex(sizelist.index(size))
+        self.addWidget(self.size, 1, 0)
+
+        # Italic or not
+        self.italic = QtWidgets.QCheckBox(self.tr("Italic"), parent)
+        self.italic.setChecked(font.italic())
+        self.addWidget(self.italic, 1, 1)
+
+        # Bold or not
+        self.bold = QtWidgets.QCheckBox(self.tr("Bold"), parent)
+        self.bold.setChecked(font.bold())
+        self.addWidget(self.bold, 1, 2)
+
+    def get_font(self):
+        font = self.family.currentFont()
+        font.setItalic(self.italic.isChecked())
+        font.setBold(self.bold.isChecked())
+        font.setPointSize(int(self.size.currentText()))
+        return qfont_to_tuple(font)
+
+
+def is_edit_valid(edit):
+    text = edit.text()
+    state = edit.validator().validate(text, 0)[0]
+    return state == QtGui.QDoubleValidator.State.Acceptable
+
+
+class FormWidget(QtWidgets.QWidget):
+    update_buttons = QtCore.Signal()
+
+    def __init__(self, data, comment="", with_margin=False, parent=None):
+        """
+        Parameters
+        ----------
+        data : list of (label, value) pairs
+            The data to be edited in the form.
+        comment : str, optional
+        with_margin : bool, default: False
+            If False, the form elements reach to the border of the widget.
+            This is the desired behavior if the FormWidget is used as a widget
+            alongside with other widgets such as a QComboBox, which also do
+            not have a margin around them.
+            However, a margin can be desired if the FormWidget is the only
+            widget within a container, e.g. a tab in a QTabWidget.
+        parent : QWidget or None
+            The parent widget.
+        """
+        super().__init__(parent)
+        self.data = copy.deepcopy(data)
+        self.widgets = []
+        self.formlayout = QtWidgets.QFormLayout(self)
+        if not with_margin:
+            self.formlayout.setContentsMargins(0, 0, 0, 0)
+        if comment:
+            self.formlayout.addRow(QtWidgets.QLabel(comment))
+            self.formlayout.addRow(QtWidgets.QLabel(" "))
+
+    def get_dialog(self):
+        """Return FormDialog instance"""
+        dialog = self.parent()
+        while not isinstance(dialog, QtWidgets.QDialog):
+            dialog = dialog.parent()
+        return dialog
+
+    def setup(self):
+        for label, value in self.data:
+            if label is None and value is None:
+                # Separator: (None, None)
+                self.formlayout.addRow(QtWidgets.QLabel(" "),
+                                       QtWidgets.QLabel(" "))
+                self.widgets.append(None)
+                continue
+            elif label is None:
+                # Comment
+                self.formlayout.addRow(QtWidgets.QLabel(value))
+                self.widgets.append(None)
+                continue
+            elif tuple_to_qfont(value) is not None:
+                field = FontLayout(value, self)
+            elif (label.lower() not in BLACKLIST
+                  and mcolors.is_color_like(value)):
+                field = ColorLayout(to_qcolor(value), self)
+            elif isinstance(value, str):
+                field = QtWidgets.QLineEdit(value, self)
+            elif isinstance(value, (list, tuple)):
+                if isinstance(value, tuple):
+                    value = list(value)
+                # Note: get() below checks the type of value[0] in self.data so
+                # it is essential that value gets modified in-place.
+                # This means that the code is actually broken in the case where
+                # value is a tuple, but fortunately we always pass a list...
+                selindex = value.pop(0)
+                field = QtWidgets.QComboBox(self)
+                if isinstance(value[0], (list, tuple)):
+                    keys = [key for key, _val in value]
+                    value = [val for _key, val in value]
+                else:
+                    keys = value
+                field.addItems(value)
+                if selindex in value:
+                    selindex = value.index(selindex)
+                elif selindex in keys:
+                    selindex = keys.index(selindex)
+                elif not isinstance(selindex, Integral):
+                    _log.warning(
+                        "index '%s' is invalid (label: %s, value: %s)",
+                        selindex, label, value)
+                    selindex = 0
+                field.setCurrentIndex(selindex)
+            elif isinstance(value, bool):
+                field = QtWidgets.QCheckBox(self)
+                field.setChecked(value)
+            elif isinstance(value, Integral):
+                field = QtWidgets.QSpinBox(self)
+                field.setRange(-10**9, 10**9)
+                field.setValue(value)
+            elif isinstance(value, Real):
+                field = QtWidgets.QLineEdit(repr(value), self)
+                field.setCursorPosition(0)
+                field.setValidator(QtGui.QDoubleValidator(field))
+                field.validator().setLocale(QtCore.QLocale("C"))
+                dialog = self.get_dialog()
+                dialog.register_float_field(field)
+                field.textChanged.connect(lambda text: dialog.update_buttons())
+            elif isinstance(value, datetime.datetime):
+                field = QtWidgets.QDateTimeEdit(self)
+                field.setDateTime(value)
+            elif isinstance(value, datetime.date):
+                field = QtWidgets.QDateEdit(self)
+                field.setDate(value)
+            else:
+                field = QtWidgets.QLineEdit(repr(value), self)
+            self.formlayout.addRow(label, field)
+            self.widgets.append(field)
+
+    def get(self):
+        valuelist = []
+        for index, (label, value) in enumerate(self.data):
+            field = self.widgets[index]
+            if label is None:
+                # Separator / Comment
+                continue
+            elif tuple_to_qfont(value) is not None:
+                value = field.get_font()
+            elif isinstance(value, str) or mcolors.is_color_like(value):
+                value = str(field.text())
+            elif isinstance(value, (list, tuple)):
+                index = int(field.currentIndex())
+                if isinstance(value[0], (list, tuple)):
+                    value = value[index][0]
+                else:
+                    value = value[index]
+            elif isinstance(value, bool):
+                value = field.isChecked()
+            elif isinstance(value, Integral):
+                value = int(field.value())
+            elif isinstance(value, Real):
+                value = float(str(field.text()))
+            elif isinstance(value, datetime.datetime):
+                datetime_ = field.dateTime()
+                if hasattr(datetime_, "toPyDateTime"):
+                    value = datetime_.toPyDateTime()
+                else:
+                    value = datetime_.toPython()
+            elif isinstance(value, datetime.date):
+                date_ = field.date()
+                if hasattr(date_, "toPyDate"):
+                    value = date_.toPyDate()
+                else:
+                    value = date_.toPython()
+            else:
+                value = literal_eval(str(field.text()))
+            valuelist.append(value)
+        return valuelist
+
+
+class FormComboWidget(QtWidgets.QWidget):
+    update_buttons = QtCore.Signal()
+
+    def __init__(self, datalist, comment="", parent=None):
+        super().__init__(parent)
+        layout = QtWidgets.QVBoxLayout()
+        self.setLayout(layout)
+        self.combobox = QtWidgets.QComboBox()
+        layout.addWidget(self.combobox)
+
+        self.stackwidget = QtWidgets.QStackedWidget(self)
+        layout.addWidget(self.stackwidget)
+        self.combobox.currentIndexChanged.connect(
+            self.stackwidget.setCurrentIndex)
+
+        self.widgetlist = []
+        for data, title, comment in datalist:
+            self.combobox.addItem(title)
+            widget = FormWidget(data, comment=comment, parent=self)
+            self.stackwidget.addWidget(widget)
+            self.widgetlist.append(widget)
+
+    def setup(self):
+        for widget in self.widgetlist:
+            widget.setup()
+
+    def get(self):
+        return [widget.get() for widget in self.widgetlist]
+
+
+class FormTabWidget(QtWidgets.QWidget):
+    update_buttons = QtCore.Signal()
+
+    def __init__(self, datalist, comment="", parent=None):
+        super().__init__(parent)
+        layout = QtWidgets.QVBoxLayout()
+        self.tabwidget = QtWidgets.QTabWidget()
+        layout.addWidget(self.tabwidget)
+        layout.setContentsMargins(0, 0, 0, 0)
+        self.setLayout(layout)
+        self.widgetlist = []
+        for data, title, comment in datalist:
+            if len(data[0]) == 3:
+                widget = FormComboWidget(data, comment=comment, parent=self)
+            else:
+                widget = FormWidget(data, with_margin=True, comment=comment,
+                                    parent=self)
+            index = self.tabwidget.addTab(widget, title)
+            self.tabwidget.setTabToolTip(index, comment)
+            self.widgetlist.append(widget)
+
+    def setup(self):
+        for widget in self.widgetlist:
+            widget.setup()
+
+    def get(self):
+        return [widget.get() for widget in self.widgetlist]
+
+
+class FormDialog(QtWidgets.QDialog):
+    """Form Dialog"""
+    def __init__(self, data, title="", comment="",
+                 icon=None, parent=None, apply=None):
+        super().__init__(parent)
+
+        self.apply_callback = apply
+
+        # Form
+        if isinstance(data[0][0], (list, tuple)):
+            self.formwidget = FormTabWidget(data, comment=comment,
+                                            parent=self)
+        elif len(data[0]) == 3:
+            self.formwidget = FormComboWidget(data, comment=comment,
+                                              parent=self)
+        else:
+            self.formwidget = FormWidget(data, comment=comment,
+                                         parent=self)
+        layout = QtWidgets.QVBoxLayout()
+        layout.addWidget(self.formwidget)
+
+        self.float_fields = []
+        self.formwidget.setup()
+
+        # Button box
+        self.bbox = bbox = QtWidgets.QDialogButtonBox(
+            QtWidgets.QDialogButtonBox.StandardButton(
+                    _to_int(QtWidgets.QDialogButtonBox.StandardButton.Ok) |
+                    _to_int(QtWidgets.QDialogButtonBox.StandardButton.Cancel)
+            ))
+        self.formwidget.update_buttons.connect(self.update_buttons)
+        if self.apply_callback is not None:
+            apply_btn = bbox.addButton(
+                QtWidgets.QDialogButtonBox.StandardButton.Apply)
+            apply_btn.clicked.connect(self.apply)
+
+        bbox.accepted.connect(self.accept)
+        bbox.rejected.connect(self.reject)
+        layout.addWidget(bbox)
+
+        self.setLayout(layout)
+
+        self.setWindowTitle(title)
+        if not isinstance(icon, QtGui.QIcon):
+            icon = QtWidgets.QWidget().style().standardIcon(
+                QtWidgets.QStyle.SP_MessageBoxQuestion)
+        self.setWindowIcon(icon)
+
+    def register_float_field(self, field):
+        self.float_fields.append(field)
+
+    def update_buttons(self):
+        valid = True
+        for field in self.float_fields:
+            if not is_edit_valid(field):
+                valid = False
+        for btn_type in ["Ok", "Apply"]:
+            btn = self.bbox.button(
+                getattr(QtWidgets.QDialogButtonBox.StandardButton,
+                        btn_type))
+            if btn is not None:
+                btn.setEnabled(valid)
+
+    def accept(self):
+        self.data = self.formwidget.get()
+        self.apply_callback(self.data)
+        super().accept()
+
+    def reject(self):
+        self.data = None
+        super().reject()
+
+    def apply(self):
+        self.apply_callback(self.formwidget.get())
+
+    def get(self):
+        """Return form result"""
+        return self.data
+
+
+def fedit(data, title="", comment="", icon=None, parent=None, apply=None):
+    """
+    Create form dialog
+
+    data: datalist, datagroup
+    title: str
+    comment: str
+    icon: QIcon instance
+    parent: parent QWidget
+    apply: apply callback (function)
+
+    datalist: list/tuple of (field_name, field_value)
+    datagroup: list/tuple of (datalist *or* datagroup, title, comment)
+
+    -> one field for each member of a datalist
+    -> one tab for each member of a top-level datagroup
+    -> one page (of a multipage widget, each page can be selected with a combo
+       box) for each member of a datagroup inside a datagroup
+
+    Supported types for field_value:
+      - int, float, str, bool
+      - colors: in Qt-compatible text form, i.e. in hex format or name
+                (red, ...) (automatically detected from a string)
+      - list/tuple:
+          * the first element will be the selected index (or value)
+          * the other elements can be couples (key, value) or only values
+    """
+
+    # Create a QApplication instance if no instance currently exists
+    # (e.g., if the module is used directly from the interpreter)
+    if QtWidgets.QApplication.startingUp():
+        _app = QtWidgets.QApplication([])
+    dialog = FormDialog(data, title, comment, icon, parent, apply)
+
+    if parent is not None:
+        if hasattr(parent, "_fedit_dialog"):
+            parent._fedit_dialog.close()
+        parent._fedit_dialog = dialog
+
+    dialog.show()
+
+
+if __name__ == "__main__":
+
+    _app = QtWidgets.QApplication([])
+
+    def create_datalist_example():
+        return [('str', 'this is a string'),
+                ('list', [0, '1', '3', '4']),
+                ('list2', ['--', ('none', 'None'), ('--', 'Dashed'),
+                           ('-.', 'DashDot'), ('-', 'Solid'),
+                           ('steps', 'Steps'), (':', 'Dotted')]),
+                ('float', 1.2),
+                (None, 'Other:'),
+                ('int', 12),
+                ('font', ('Arial', 10, False, True)),
+                ('color', '#123409'),
+                ('bool', True),
+                ('date', datetime.date(2010, 10, 10)),
+                ('datetime', datetime.datetime(2010, 10, 10)),
+                ]
+
+    def create_datagroup_example():
+        datalist = create_datalist_example()
+        return ((datalist, "Category 1", "Category 1 comment"),
+                (datalist, "Category 2", "Category 2 comment"),
+                (datalist, "Category 3", "Category 3 comment"))
+
+    # --------- datalist example
+    datalist = create_datalist_example()
+
+    def apply_test(data):
+        print("data:", data)
+    fedit(datalist, title="Example",
+          comment="This is just an <b>example</b>.",
+          apply=apply_test)
+
+    _app.exec()
+
+    # --------- datagroup example
+    datagroup = create_datagroup_example()
+    fedit(datagroup, "Global title",
+          apply=apply_test)
+    _app.exec()
+
+    # --------- datagroup inside a datagroup example
+    datalist = create_datalist_example()
+    datagroup = create_datagroup_example()
+    fedit(((datagroup, "Title 1", "Tab 1 comment"),
+           (datalist, "Title 2", "Tab 2 comment"),
+           (datalist, "Title 3", "Tab 3 comment")),
+          "Global title",
+          apply=apply_test)
+    _app.exec()
diff --git a/lib/matplotlib/backends/qt_editor/figureoptions.py b/lib/matplotlib/backends/qt_editor/figureoptions.py
index 76920a7e62b0..9d31fa9ced2c 100644
--- a/lib/matplotlib/backends/qt_editor/figureoptions.py
+++ b/lib/matplotlib/backends/qt_editor/figureoptions.py
@@ -1,37 +1,29 @@
-# -*- coding: utf-8 -*-
-#
 # Copyright © 2009 Pierre Raybaut
 # Licensed under the terms of the MIT License
-# see the mpl licenses directory for a copy of the license
+# see the Matplotlib licenses directory for a copy of the license
 
 
-"""Module that provides a GUI-based editor for matplotlib's figure options"""
+"""Module that provides a GUI-based editor for Matplotlib's figure options."""
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os.path as osp
-
-import matplotlib.backends.qt_editor.formlayout as formlayout
+from itertools import chain
+from matplotlib import cbook, cm, colors as mcolors, markers, image as mimage
 from matplotlib.backends.qt_compat import QtGui
-from matplotlib import markers
-
-
-def get_icon(name):
-    import matplotlib
-    basedir = osp.join(matplotlib.rcParams['datapath'], 'images')
-    return QtGui.QIcon(osp.join(basedir, name))
+from matplotlib.backends.qt_editor import _formlayout
+from matplotlib.dates import DateConverter, num2date
 
 LINESTYLES = {'-': 'Solid',
               '--': 'Dashed',
               '-.': 'DashDot',
               ':': 'Dotted',
-              'steps': 'Steps',
-              'none': 'None',
+              'None': 'None',
               }
 
+DRAWSTYLES = {
+    'default': 'Default',
+    'steps-pre': 'Steps (Pre)', 'steps': 'Steps (Pre)',
+    'steps-mid': 'Steps (Mid)',
+    'steps-post': 'Steps (Post)'}
+
 MARKERS = markers.MarkerStyle.markers
 
 
@@ -39,110 +31,241 @@ def figure_edit(axes, parent=None):
     """Edit matplotlib figure options"""
     sep = (None, None)  # separator
 
-    has_curve = len(axes.get_lines()) > 0
-
     # Get / General
-    xmin, xmax = axes.get_xlim()
-    ymin, ymax = axes.get_ylim()
-    general = [('Title', axes.get_title()),
-               sep,
-               (None, "<b>X-Axis</b>"),
-               ('Min', xmin), ('Max', xmax),
-               ('Label', axes.get_xlabel()),
-               ('Scale', [axes.get_xscale(), 'linear', 'log']),
-               sep,
-               (None, "<b>Y-Axis</b>"),
-               ('Min', ymin), ('Max', ymax),
-               ('Label', axes.get_ylabel()),
-               ('Scale', [axes.get_yscale(), 'linear', 'log']),
-               sep,
-               ('(Re-)Generate automatic legend', False),
-               ]
-
-    if has_curve:
-        # Get / Curves
-        linedict = {}
-        for line in axes.get_lines():
-            label = line.get_label()
-            if label == '_nolegend_':
-                continue
-            linedict[label] = line
-        curves = []
-        linestyles = list(six.iteritems(LINESTYLES))
-        markers = list(six.iteritems(MARKERS))
-        curvelabels = sorted(linedict.keys())
-        for label in curvelabels:
-            line = linedict[label]
-            curvedata = [('Label', label),
-                         sep,
-                         (None, '<b>Line</b>'),
-                         ('Style', [line.get_linestyle()] + linestyles),
-                         ('Width', line.get_linewidth()),
-                         ('Color', line.get_color()),
-                         sep,
-                         (None, '<b>Marker</b>'),
-                         ('Style', [line.get_marker()] + markers),
-                         ('Size', line.get_markersize()),
-                         ('Facecolor', line.get_markerfacecolor()),
-                         ('Edgecolor', line.get_markeredgecolor()),
-                         ]
-            curves.append([curvedata, label, ""])
+    def convert_limits(lim, converter):
+        """Convert axis limits for correct input editors."""
+        if isinstance(converter, DateConverter):
+            return map(num2date, lim)
+        # Cast to builtin floats as they have nicer reprs.
+        return map(float, lim)
+
+    axis_map = axes._axis_map
+    axis_limits = {
+        name: tuple(convert_limits(
+            getattr(axes, f'get_{name}lim')(), axis.get_converter()
+        ))
+        for name, axis in axis_map.items()
+    }
+    general = [
+        ('Title', axes.get_title()),
+        sep,
+        *chain.from_iterable([
+            (
+                (None, f"<b>{name.title()}-Axis</b>"),
+                ('Min', axis_limits[name][0]),
+                ('Max', axis_limits[name][1]),
+                ('Label', axis.label.get_text()),
+                ('Scale', [axis.get_scale(),
+                           'linear', 'log', 'symlog', 'logit']),
+                sep,
+            )
+            for name, axis in axis_map.items()
+        ]),
+        ('(Re-)Generate automatic legend', False),
+    ]
+
+    # Save the converter and unit data
+    axis_converter = {
+        name: axis.get_converter()
+        for name, axis in axis_map.items()
+    }
+    axis_units = {
+        name: axis.get_units()
+        for name, axis in axis_map.items()
+    }
+
+    # Get / Curves
+    labeled_lines = []
+    for line in axes.get_lines():
+        label = line.get_label()
+        if label == '_nolegend_':
+            continue
+        labeled_lines.append((label, line))
+    curves = []
+
+    def prepare_data(d, init):
+        """
+        Prepare entry for FormLayout.
+
+        *d* is a mapping of shorthands to style names (a single style may
+        have multiple shorthands, in particular the shorthands `None`,
+        `"None"`, `"none"` and `""` are synonyms); *init* is one shorthand
+        of the initial style.
+
+        This function returns an list suitable for initializing a
+        FormLayout combobox, namely `[initial_name, (shorthand,
+        style_name), (shorthand, style_name), ...]`.
+        """
+        if init not in d:
+            d = {**d, init: str(init)}
+        # Drop duplicate shorthands from dict (by overwriting them during
+        # the dict comprehension).
+        name2short = {name: short for short, name in d.items()}
+        # Convert back to {shorthand: name}.
+        short2name = {short: name for name, short in name2short.items()}
+        # Find the kept shorthand for the style specified by init.
+        canonical_init = name2short[d[init]]
+        # Sort by representation and prepend the initial value.
+        return ([canonical_init] +
+                sorted(short2name.items(),
+                       key=lambda short_and_name: short_and_name[1]))
+
+    for label, line in labeled_lines:
+        color = mcolors.to_hex(
+            mcolors.to_rgba(line.get_color(), line.get_alpha()),
+            keep_alpha=True)
+        ec = mcolors.to_hex(
+            mcolors.to_rgba(line.get_markeredgecolor(), line.get_alpha()),
+            keep_alpha=True)
+        fc = mcolors.to_hex(
+            mcolors.to_rgba(line.get_markerfacecolor(), line.get_alpha()),
+            keep_alpha=True)
+        curvedata = [
+            ('Label', label),
+            sep,
+            (None, '<b>Line</b>'),
+            ('Line style', prepare_data(LINESTYLES, line.get_linestyle())),
+            ('Draw style', prepare_data(DRAWSTYLES, line.get_drawstyle())),
+            ('Width', line.get_linewidth()),
+            ('Color (RGBA)', color),
+            sep,
+            (None, '<b>Marker</b>'),
+            ('Style', prepare_data(MARKERS, line.get_marker())),
+            ('Size', line.get_markersize()),
+            ('Face color (RGBA)', fc),
+            ('Edge color (RGBA)', ec)]
+        curves.append([curvedata, label, ""])
+    # Is there a curve displayed?
+    has_curve = bool(curves)
+
+    # Get ScalarMappables.
+    labeled_mappables = []
+    for mappable in [*axes.images, *axes.collections]:
+        label = mappable.get_label()
+        if label == '_nolegend_' or mappable.get_array() is None:
+            continue
+        labeled_mappables.append((label, mappable))
+    mappables = []
+    cmaps = [(cmap, name) for name, cmap in sorted(cm._colormaps.items())]
+    for label, mappable in labeled_mappables:
+        cmap = mappable.get_cmap()
+        if cmap.name not in cm._colormaps:
+            cmaps = [(cmap, cmap.name), *cmaps]
+        low, high = mappable.get_clim()
+        mappabledata = [
+            ('Label', label),
+            ('Colormap', [cmap.name] + cmaps),
+            ('Min. value', low),
+            ('Max. value', high),
+        ]
+        if hasattr(mappable, "get_interpolation"):  # Images.
+            interpolations = [
+                (name, name) for name in sorted(mimage.interpolations_names)]
+            mappabledata.append((
+                'Interpolation',
+                [mappable.get_interpolation(), *interpolations]))
+
+            interpolation_stages = ['data', 'rgba', 'auto']
+            mappabledata.append((
+                'Interpolation stage',
+                [mappable.get_interpolation_stage(), *interpolation_stages]))
+
+        mappables.append([mappabledata, label, ""])
+    # Is there a scalarmappable displayed?
+    has_sm = bool(mappables)
 
     datalist = [(general, "Axes", "")]
-    if has_curve:
+    if curves:
         datalist.append((curves, "Curves", ""))
+    if mappables:
+        datalist.append((mappables, "Images, etc.", ""))
 
     def apply_callback(data):
-        """This function will be called to apply changes"""
-        if has_curve:
-            general, curves = data
-        else:
-            general, = data
-
-        # Set / General
-        title, xmin, xmax, xlabel, xscale, ymin, ymax, ylabel, yscale, \
-            generate_legend = general
-        axes.set_xscale(xscale)
-        axes.set_yscale(yscale)
+        """A callback to apply changes."""
+        orig_limits = {
+            name: getattr(axes, f"get_{name}lim")()
+            for name in axis_map
+        }
+
+        general = data.pop(0)
+        curves = data.pop(0) if has_curve else []
+        mappables = data.pop(0) if has_sm else []
+        if data:
+            raise ValueError("Unexpected field")
+
+        title = general.pop(0)
         axes.set_title(title)
-        axes.set_xlim(xmin, xmax)
-        axes.set_xlabel(xlabel)
-        axes.set_ylim(ymin, ymax)
-        axes.set_ylabel(ylabel)
-
-        if has_curve:
-            # Set / Curves
-            for index, curve in enumerate(curves):
-                line = linedict[curvelabels[index]]
-                label, linestyle, linewidth, color, \
-                    marker, markersize, markerfacecolor, markeredgecolor \
-                    = curve
-                line.set_label(label)
-                line.set_linestyle(linestyle)
-                line.set_linewidth(linewidth)
-                line.set_color(color)
-                if marker is not 'none':
-                    line.set_marker(marker)
-                    line.set_markersize(markersize)
-                    line.set_markerfacecolor(markerfacecolor)
-                    line.set_markeredgecolor(markeredgecolor)
+        generate_legend = general.pop()
+
+        for i, (name, axis) in enumerate(axis_map.items()):
+            axis_min = general[4*i]
+            axis_max = general[4*i + 1]
+            axis_label = general[4*i + 2]
+            axis_scale = general[4*i + 3]
+            if axis.get_scale() != axis_scale:
+                getattr(axes, f"set_{name}scale")(axis_scale)
+
+            axis._set_lim(axis_min, axis_max, auto=False)
+            axis.set_label_text(axis_label)
+
+            # Restore the unit data
+            axis._set_converter(axis_converter[name])
+            axis.set_units(axis_units[name])
+
+        # Set / Curves
+        for index, curve in enumerate(curves):
+            line = labeled_lines[index][1]
+            (label, linestyle, drawstyle, linewidth, color, marker, markersize,
+             markerfacecolor, markeredgecolor) = curve
+            line.set_label(label)
+            line.set_linestyle(linestyle)
+            line.set_drawstyle(drawstyle)
+            line.set_linewidth(linewidth)
+            rgba = mcolors.to_rgba(color)
+            line.set_alpha(None)
+            line.set_color(rgba)
+            if marker != 'none':
+                line.set_marker(marker)
+                line.set_markersize(markersize)
+                line.set_markerfacecolor(markerfacecolor)
+                line.set_markeredgecolor(markeredgecolor)
+
+        # Set ScalarMappables.
+        for index, mappable_settings in enumerate(mappables):
+            mappable = labeled_mappables[index][1]
+            if len(mappable_settings) == 6:
+                label, cmap, low, high, interpolation, interpolation_stage = \
+                  mappable_settings
+                mappable.set_interpolation(interpolation)
+                mappable.set_interpolation_stage(interpolation_stage)
+            elif len(mappable_settings) == 4:
+                label, cmap, low, high = mappable_settings
+            mappable.set_label(label)
+            mappable.set_cmap(cmap)
+            mappable.set_clim(*sorted([low, high]))
 
         # re-generate legend, if checkbox is checked
         if generate_legend:
+            draggable = None
+            ncols = 1
             if axes.legend_ is not None:
                 old_legend = axes.get_legend()
-                new_legend = axes.legend(ncol=old_legend._ncol)
-                new_legend.draggable(old_legend._draggable is not None)
-            else:
-                new_legend = axes.legend()
-                new_legend.draggable(True)
+                draggable = old_legend._draggable is not None
+                ncols = old_legend._ncols
+            new_legend = axes.legend(ncols=ncols)
+            if new_legend:
+                new_legend.set_draggable(draggable)
 
         # Redraw
         figure = axes.get_figure()
         figure.canvas.draw()
+        for name in axis_map:
+            if getattr(axes, f"get_{name}lim")() != orig_limits[name]:
+                figure.canvas.toolbar.push_current()
+                break
 
-    data = formlayout.fedit(datalist, title="Figure options", parent=parent,
-                            icon=get_icon('qt4_editor_options.svg'),
-                            apply=apply_callback)
-    if data is not None:
-        apply_callback(data)
+    _formlayout.fedit(
+        datalist, title="Figure options", parent=parent,
+        icon=QtGui.QIcon(
+            str(cbook._get_data_path('images', 'qt4_editor_options.svg'))),
+        apply=apply_callback)
diff --git a/lib/matplotlib/backends/qt_editor/formlayout.py b/lib/matplotlib/backends/qt_editor/formlayout.py
deleted file mode 100644
index bc6d0a2db1e2..000000000000
--- a/lib/matplotlib/backends/qt_editor/formlayout.py
+++ /dev/null
@@ -1,558 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-formlayout
-==========
-
-Module creating Qt form dialogs/layouts to edit various type of parameters
-
-
-formlayout License Agreement (MIT License)
-------------------------------------------
-
-Copyright (c) 2009 Pierre Raybaut
-
-Permission is hereby granted, free of charge, to any person
-obtaining a copy of this software and associated documentation
-files (the "Software"), to deal in the Software without
-restriction, including without limitation the rights to use,
-copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the
-Software is furnished to do so, subject to the following
-conditions:
-
-The above copyright notice and this permission notice shall be
-included in all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
-OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
-HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
-OTHER DEALINGS IN THE SOFTWARE.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-# History:
-# 1.0.10: added float validator (disable "Ok" and "Apply" button when not valid)
-# 1.0.7: added support for "Apply" button
-# 1.0.6: code cleaning
-
-__version__ = '1.0.10'
-__license__ = __doc__
-
-DEBUG = False
-
-import sys
-STDERR = sys.stderr
-
-from matplotlib.colors import is_color_like
-from matplotlib.colors import rgb2hex
-from matplotlib.colors import colorConverter
-
-from matplotlib.backends.qt_compat import QtGui, QtWidgets, QtCore
-if not hasattr(QtWidgets, 'QFormLayout'):
-    raise ImportError("Warning: formlayout requires PyQt4 >v4.3 or PySide")
-
-import datetime
-
-
-def col2hex(color):
-    """Convert matplotlib color to hex before passing to Qt"""
-    return rgb2hex(colorConverter.to_rgb(color))
-
-
-class ColorButton(QtWidgets.QPushButton):
-    """
-    Color choosing push button
-    """
-    colorChanged = QtCore.Signal(QtGui.QColor)
-
-    def __init__(self, parent=None):
-        QtWidgets.QPushButton.__init__(self, parent)
-        self.setFixedSize(20, 20)
-        self.setIconSize(QtCore.QSize(12, 12))
-        self.clicked.connect(self.choose_color)
-        self._color = QtGui.QColor()
-
-    def choose_color(self):
-        color = QtWidgets.QColorDialog.getColor(self._color, self.parentWidget(), '')
-        if color.isValid():
-            self.set_color(color)
-
-    def get_color(self):
-        return self._color
-
-    @QtCore.Slot(QtGui.QColor)
-    def set_color(self, color):
-        if color != self._color:
-            self._color = color
-            self.colorChanged.emit(self._color)
-            pixmap = QtGui.QPixmap(self.iconSize())
-            pixmap.fill(color)
-            self.setIcon(QtGui.QIcon(pixmap))
-
-    color = QtCore.Property(QtGui.QColor, get_color, set_color)
-
-def col2hex(color):
-    """Convert matplotlib color to hex before passing to Qt"""
-    return rgb2hex(colorConverter.to_rgb(color))
-
-def to_qcolor(color):
-    """Create a QColor from a matplotlib color"""
-    qcolor = QtGui.QColor()
-    color = str(color)
-    try:
-        color = col2hex(color)
-    except ValueError:
-        #print('WARNING: ignoring invalid color %r' % color)
-        return qcolor  # return invalid QColor
-    qcolor.setNamedColor(color)  # set using hex color
-    return qcolor  # return valid QColor
-
-
-class ColorLayout(QtWidgets.QHBoxLayout):
-    """Color-specialized QLineEdit layout"""
-    def __init__(self, color, parent=None):
-        QtWidgets.QHBoxLayout.__init__(self)
-        assert isinstance(color, QtGui.QColor)
-        self.lineedit = QtWidgets.QLineEdit(color.name(), parent)
-        self.lineedit.editingFinished.connect(self.update_color)
-        self.addWidget(self.lineedit)
-        self.colorbtn = ColorButton(parent)
-        self.colorbtn.color = color
-        self.colorbtn.colorChanged.connect(self.update_text)
-        self.addWidget(self.colorbtn)
-
-    def update_color(self):
-        color = self.text()
-        qcolor = to_qcolor(color)
-        self.colorbtn.color = qcolor  # defaults to black if not qcolor.isValid()
-
-    def update_text(self, color):
-        self.lineedit.setText(color.name())
-
-    def text(self):
-        return self.lineedit.text()
-
-
-def font_is_installed(font):
-    """Check if font is installed"""
-    return [fam for fam in QtGui.QFontDatabase().families()
-              if six.text_type(fam) == font]
-
-
-def tuple_to_qfont(tup):
-    """
-    Create a QFont from tuple:
-        (family [string], size [int], italic [bool], bold [bool])
-    """
-    if not isinstance(tup, tuple) or len(tup) != 4 \
-       or not font_is_installed(tup[0]) \
-       or not isinstance(tup[1], int) \
-       or not isinstance(tup[2], bool) \
-       or not isinstance(tup[3], bool):
-        return None
-    font = QtGui.QFont()
-    family, size, italic, bold = tup
-    font.setFamily(family)
-    font.setPointSize(size)
-    font.setItalic(italic)
-    font.setBold(bold)
-    return font
-
-
-def qfont_to_tuple(font):
-    return (six.text_type(font.family()), int(font.pointSize()),
-            font.italic(), font.bold())
-
-
-class FontLayout(QtWidgets.QGridLayout):
-    """Font selection"""
-    def __init__(self, value, parent=None):
-        QtWidgets.QGridLayout.__init__(self)
-        font = tuple_to_qfont(value)
-        assert font is not None
-
-        # Font family
-        self.family = QtWidgets.QFontComboBox(parent)
-        self.family.setCurrentFont(font)
-        self.addWidget(self.family, 0, 0, 1, -1)
-
-        # Font size
-        self.size = QtWidgets.QComboBox(parent)
-        self.size.setEditable(True)
-        sizelist = list(xrange(6, 12)) + list(xrange(12, 30, 2)) + [36, 48, 72]
-        size = font.pointSize()
-        if size not in sizelist:
-            sizelist.append(size)
-            sizelist.sort()
-        self.size.addItems([str(s) for s in sizelist])
-        self.size.setCurrentIndex(sizelist.index(size))
-        self.addWidget(self.size, 1, 0)
-
-        # Italic or not
-        self.italic = QtWidgets.QCheckBox(self.tr("Italic"), parent)
-        self.italic.setChecked(font.italic())
-        self.addWidget(self.italic, 1, 1)
-
-        # Bold or not
-        self.bold = QtWidgets.QCheckBox(self.tr("Bold"), parent)
-        self.bold.setChecked(font.bold())
-        self.addWidget(self.bold, 1, 2)
-
-    def get_font(self):
-        font = self.family.currentFont()
-        font.setItalic(self.italic.isChecked())
-        font.setBold(self.bold.isChecked())
-        font.setPointSize(int(self.size.currentText()))
-        return qfont_to_tuple(font)
-
-
-def is_edit_valid(edit):
-    text = edit.text()
-    state = edit.validator().validate(text, 0)[0]
-
-    return state == QtGui.QDoubleValidator.Acceptable
-
-
-class FormWidget(QtWidgets.QWidget):
-    update_buttons = QtCore.Signal()
-    def __init__(self, data, comment="", parent=None):
-        QtWidgets.QWidget.__init__(self, parent)
-        from copy import deepcopy
-        self.data = deepcopy(data)
-        self.widgets = []
-        self.formlayout = QtWidgets.QFormLayout(self)
-        if comment:
-            self.formlayout.addRow(QtWidgets.QLabel(comment))
-            self.formlayout.addRow(QtWidgets.QLabel(" "))
-        if DEBUG:
-            print("\n"+("*"*80))
-            print("DATA:", self.data)
-            print("*"*80)
-            print("COMMENT:", comment)
-            print("*"*80)
-
-    def get_dialog(self):
-        """Return FormDialog instance"""
-        dialog = self.parent()
-        while not isinstance(dialog, QtWidgets.QDialog):
-            dialog = dialog.parent()
-        return dialog
-
-    def setup(self):
-        for label, value in self.data:
-            if DEBUG:
-                print("value:", value)
-            if label is None and value is None:
-                # Separator: (None, None)
-                self.formlayout.addRow(QtWidgets.QLabel(" "), QtWidgets.QLabel(" "))
-                self.widgets.append(None)
-                continue
-            elif label is None:
-                # Comment
-                self.formlayout.addRow(QtWidgets.QLabel(value))
-                self.widgets.append(None)
-                continue
-            elif tuple_to_qfont(value) is not None:
-                field = FontLayout(value, self)
-            elif is_color_like(value):
-                field = ColorLayout(to_qcolor(value), self)
-            elif isinstance(value, six.string_types):
-                field = QtWidgets.QLineEdit(value, self)
-            elif isinstance(value, (list, tuple)):
-                if isinstance(value, tuple):
-                    value = list(value)
-                selindex = value.pop(0)
-                field = QtWidgets.QComboBox(self)
-                if isinstance(value[0], (list, tuple)):
-                    keys = [key for key, _val in value]
-                    value = [val for _key, val in value]
-                else:
-                    keys = value
-                field.addItems(value)
-                if selindex in value:
-                    selindex = value.index(selindex)
-                elif selindex in keys:
-                    selindex = keys.index(selindex)
-                elif not isinstance(selindex, int):
-                    print("Warning: '%s' index is invalid (label: "
-                                    "%s, value: %s)" % (selindex, label, value), file=STDERR)
-                    selindex = 0
-                field.setCurrentIndex(selindex)
-            elif isinstance(value, bool):
-                field = QtWidgets.QCheckBox(self)
-                if value:
-                    field.setCheckState(QtCore.Qt.Checked)
-                else:
-                    field.setCheckState(QtCore.Qt.Unchecked)
-            elif isinstance(value, float):
-                field = QtWidgets.QLineEdit(repr(value), self)
-                field.setValidator(QtGui.QDoubleValidator(field))
-                dialog = self.get_dialog()
-                dialog.register_float_field(field)
-                field.textChanged.connect(lambda text: dialog.update_buttons())
-            elif isinstance(value, int):
-                field = QtWidgets.QSpinBox(self)
-                field.setRange(-1e9, 1e9)
-                field.setValue(value)
-            elif isinstance(value, datetime.datetime):
-                field = QtWidgets.QDateTimeEdit(self)
-                field.setDateTime(value)
-            elif isinstance(value, datetime.date):
-                field = QtWidgets.QDateEdit(self)
-                field.setDate(value)
-            else:
-                field = QtWidgets.QLineEdit(repr(value), self)
-            self.formlayout.addRow(label, field)
-            self.widgets.append(field)
-
-    def get(self):
-        valuelist = []
-        for index, (label, value) in enumerate(self.data):
-            field = self.widgets[index]
-            if label is None:
-                # Separator / Comment
-                continue
-            elif tuple_to_qfont(value) is not None:
-                value = field.get_font()
-            elif isinstance(value, six.string_types) or is_color_like(value):
-                value = six.text_type(field.text())
-            elif isinstance(value, (list, tuple)):
-                index = int(field.currentIndex())
-                if isinstance(value[0], (list, tuple)):
-                    value = value[index][0]
-                else:
-                    value = value[index]
-            elif isinstance(value, bool):
-                value = field.checkState() == QtCore.Qt.Checked
-            elif isinstance(value, float):
-                value = float(str(field.text()))
-            elif isinstance(value, int):
-                value = int(field.value())
-            elif isinstance(value, datetime.datetime):
-                value = field.dateTime().toPyDateTime()
-            elif isinstance(value, datetime.date):
-                value = field.date().toPyDate()
-            else:
-                value = eval(str(field.text()))
-            valuelist.append(value)
-        return valuelist
-
-
-class FormComboWidget(QtWidgets.QWidget):
-    update_buttons = QtCore.Signal()
-
-    def __init__(self, datalist, comment="", parent=None):
-        QtWidgets.QWidget.__init__(self, parent)
-        layout = QtWidgets.QVBoxLayout()
-        self.setLayout(layout)
-        self.combobox = QtWidgets.QComboBox()
-        layout.addWidget(self.combobox)
-
-        self.stackwidget = QtWidgets.QStackedWidget(self)
-        layout.addWidget(self.stackwidget)
-        self.combobox.currentIndexChanged.connect(self.stackwidget.setCurrentIndex)
-
-        self.widgetlist = []
-        for data, title, comment in datalist:
-            self.combobox.addItem(title)
-            widget = FormWidget(data, comment=comment, parent=self)
-            self.stackwidget.addWidget(widget)
-            self.widgetlist.append(widget)
-
-    def setup(self):
-        for widget in self.widgetlist:
-            widget.setup()
-
-    def get(self):
-        return [widget.get() for widget in self.widgetlist]
-
-
-class FormTabWidget(QtWidgets.QWidget):
-    update_buttons = QtCore.Signal()
-
-    def __init__(self, datalist, comment="", parent=None):
-        QtWidgets.QWidget.__init__(self, parent)
-        layout = QtWidgets.QVBoxLayout()
-        self.tabwidget = QtWidgets.QTabWidget()
-        layout.addWidget(self.tabwidget)
-        self.setLayout(layout)
-        self.widgetlist = []
-        for data, title, comment in datalist:
-            if len(data[0]) == 3:
-                widget = FormComboWidget(data, comment=comment, parent=self)
-            else:
-                widget = FormWidget(data, comment=comment, parent=self)
-            index = self.tabwidget.addTab(widget, title)
-            self.tabwidget.setTabToolTip(index, comment)
-            self.widgetlist.append(widget)
-
-    def setup(self):
-        for widget in self.widgetlist:
-            widget.setup()
-
-    def get(self):
-        return [widget.get() for widget in self.widgetlist]
-
-
-class FormDialog(QtWidgets.QDialog):
-    """Form Dialog"""
-    def __init__(self, data, title="", comment="",
-                 icon=None, parent=None, apply=None):
-        QtWidgets.QDialog.__init__(self, parent)
-
-        self.apply_callback = apply
-
-        # Form
-        if isinstance(data[0][0], (list, tuple)):
-            self.formwidget = FormTabWidget(data, comment=comment,
-                                            parent=self)
-        elif len(data[0]) == 3:
-            self.formwidget = FormComboWidget(data, comment=comment,
-                                              parent=self)
-        else:
-            self.formwidget = FormWidget(data, comment=comment,
-                                         parent=self)
-        layout = QtWidgets.QVBoxLayout()
-        layout.addWidget(self.formwidget)
-
-        self.float_fields = []
-        self.formwidget.setup()
-
-        # Button box
-        self.bbox = bbox = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok
-                                                 | QtWidgets.QDialogButtonBox.Cancel)
-        self.formwidget.update_buttons.connect(self.update_buttons)
-        if self.apply_callback is not None:
-            apply_btn = bbox.addButton(QtWidgets.QDialogButtonBox.Apply)
-            apply_btn.clicked.connect(self.apply)
-
-        bbox.accepted.connect(self.accept)
-        bbox.rejected.connect(self.reject)
-        layout.addWidget(bbox)
-
-        self.setLayout(layout)
-
-        self.setWindowTitle(title)
-        if not isinstance(icon, QtGui.QIcon):
-            icon = QtWidgets.QWidget().style().standardIcon(QtWidgets.QStyle.SP_MessageBoxQuestion)
-        self.setWindowIcon(icon)
-
-    def register_float_field(self, field):
-        self.float_fields.append(field)
-
-    def update_buttons(self):
-        valid = True
-        for field in self.float_fields:
-            if not is_edit_valid(field):
-                valid = False
-        for btn_type in (QtWidgets.QDialogButtonBox.Ok, QtWidgets.QDialogButtonBox.Apply):
-            btn = self.bbox.button(btn_type)
-            if btn is not None:
-                btn.setEnabled(valid)
-
-    def accept(self):
-        self.data = self.formwidget.get()
-        QtWidgets.QDialog.accept(self)
-
-    def reject(self):
-        self.data = None
-        QtWidgets.QDialog.reject(self)
-
-    def apply(self):
-        self.apply_callback(self.formwidget.get())
-
-    def get(self):
-        """Return form result"""
-        return self.data
-
-
-def fedit(data, title="", comment="", icon=None, parent=None, apply=None):
-    """
-    Create form dialog and return result
-    (if Cancel button is pressed, return None)
-
-    data: datalist, datagroup
-    title: string
-    comment: string
-    icon: QIcon instance
-    parent: parent QWidget
-    apply: apply callback (function)
-
-    datalist: list/tuple of (field_name, field_value)
-    datagroup: list/tuple of (datalist *or* datagroup, title, comment)
-
-    -> one field for each member of a datalist
-    -> one tab for each member of a top-level datagroup
-    -> one page (of a multipage widget, each page can be selected with a combo
-       box) for each member of a datagroup inside a datagroup
-
-    Supported types for field_value:
-      - int, float, str, unicode, bool
-      - colors: in Qt-compatible text form, i.e. in hex format or name (red,...)
-                (automatically detected from a string)
-      - list/tuple:
-          * the first element will be the selected index (or value)
-          * the other elements can be couples (key, value) or only values
-    """
-
-    # Create a QApplication instance if no instance currently exists
-    # (e.g., if the module is used directly from the interpreter)
-    if QtWidgets.QApplication.startingUp():
-        _app = QtWidgets.QApplication([])
-    dialog = FormDialog(data, title, comment, icon, parent, apply)
-    if dialog.exec_():
-        return dialog.get()
-
-
-if __name__ == "__main__":
-
-    def create_datalist_example():
-        return [('str', 'this is a string'),
-                ('list', [0, '1', '3', '4']),
-                ('list2', ['--', ('none', 'None'), ('--', 'Dashed'),
-                           ('-.', 'DashDot'), ('-', 'Solid'),
-                           ('steps', 'Steps'), (':', 'Dotted')]),
-                ('float', 1.2),
-                (None, 'Other:'),
-                ('int', 12),
-                ('font', ('Arial', 10, False, True)),
-                ('color', '#123409'),
-                ('bool', True),
-                ('date', datetime.date(2010, 10, 10)),
-                ('datetime', datetime.datetime(2010, 10, 10)),
-                ]
-
-    def create_datagroup_example():
-        datalist = create_datalist_example()
-        return ((datalist, "Category 1", "Category 1 comment"),
-                (datalist, "Category 2", "Category 2 comment"),
-                (datalist, "Category 3", "Category 3 comment"))
-
-    #--------- datalist example
-    datalist = create_datalist_example()
-
-    def apply_test(data):
-        print("data:", data)
-    print("result:", fedit(datalist, title="Example",
-                           comment="This is just an <b>example</b>.",
-                           apply=apply_test))
-
-    #--------- datagroup example
-    datagroup = create_datagroup_example()
-    print("result:", fedit(datagroup, "Global title"))
-
-    #--------- datagroup inside a datagroup example
-    datalist = create_datalist_example()
-    datagroup = create_datagroup_example()
-    print("result:", fedit(((datagroup, "Title 1", "Tab 1 comment"),
-                            (datalist, "Title 2", "Tab 2 comment"),
-                            (datalist, "Title 3", "Tab 3 comment")),
-                            "Global title"))
diff --git a/lib/matplotlib/backends/qt_editor/formsubplottool.py b/lib/matplotlib/backends/qt_editor/formsubplottool.py
deleted file mode 100644
index c48aef62330f..000000000000
--- a/lib/matplotlib/backends/qt_editor/formsubplottool.py
+++ /dev/null
@@ -1,231 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-formsubplottool.py
-
-backend.qt4 (PyQt4|PySide) independent form of the subplot tool.
-
-"""
-
-__author__ = 'rudolf.hoefler@gmail.com'
-
-from matplotlib.backends.qt_compat import QtCore, QtGui, QtWidgets
-
-
-class UiSubplotTool(QtWidgets.QDialog):
-
-    def __init__(self, *args, **kwargs):
-        super(UiSubplotTool, self).__init__(*args, **kwargs)
-        self.setObjectName('SubplotTool')
-        self.resize(450, 265)
-
-        gbox = QtWidgets.QGridLayout(self)
-        self.setLayout(gbox)
-
-        # groupbox borders
-        groupbox = QtWidgets.QGroupBox('Borders', self)
-        gbox.addWidget(groupbox, 6, 0, 1, 1)
-        self.verticalLayout = QtWidgets.QVBoxLayout(groupbox)
-        self.verticalLayout.setSpacing(0)
-
-        # slider top
-        self.hboxtop = QtWidgets.QHBoxLayout()
-        self.labeltop = QtWidgets.QLabel('top', self)
-        self.labeltop.setMinimumSize(QtCore.QSize(50, 0))
-        self.labeltop.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.slidertop = QtWidgets.QSlider(self)
-        self.slidertop.setMouseTracking(False)
-        self.slidertop.setProperty("value", 0)
-        self.slidertop.setOrientation(QtCore.Qt.Horizontal)
-        self.slidertop.setInvertedAppearance(False)
-        self.slidertop.setInvertedControls(False)
-        self.slidertop.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.slidertop.setTickInterval(100)
-
-        self.topvalue = QtWidgets.QLabel('0', self)
-        self.topvalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.topvalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(self.hboxtop)
-        self.hboxtop.addWidget(self.labeltop)
-        self.hboxtop.addWidget(self.slidertop)
-        self.hboxtop.addWidget(self.topvalue)
-
-        # slider bottom
-        hboxbottom = QtWidgets.QHBoxLayout()
-        labelbottom = QtWidgets.QLabel('bottom', self)
-        labelbottom.setMinimumSize(QtCore.QSize(50, 0))
-        labelbottom.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.sliderbottom = QtWidgets.QSlider(self)
-        self.sliderbottom.setMouseTracking(False)
-        self.sliderbottom.setProperty("value", 0)
-        self.sliderbottom.setOrientation(QtCore.Qt.Horizontal)
-        self.sliderbottom.setInvertedAppearance(False)
-        self.sliderbottom.setInvertedControls(False)
-        self.sliderbottom.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.sliderbottom.setTickInterval(100)
-
-        self.bottomvalue = QtWidgets.QLabel('0', self)
-        self.bottomvalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.bottomvalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(hboxbottom)
-        hboxbottom.addWidget(labelbottom)
-        hboxbottom.addWidget(self.sliderbottom)
-        hboxbottom.addWidget(self.bottomvalue)
-
-        # slider left
-        hboxleft = QtWidgets.QHBoxLayout()
-        labelleft = QtWidgets.QLabel('left', self)
-        labelleft.setMinimumSize(QtCore.QSize(50, 0))
-        labelleft.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.sliderleft = QtWidgets.QSlider(self)
-        self.sliderleft.setMouseTracking(False)
-        self.sliderleft.setProperty("value", 0)
-        self.sliderleft.setOrientation(QtCore.Qt.Horizontal)
-        self.sliderleft.setInvertedAppearance(False)
-        self.sliderleft.setInvertedControls(False)
-        self.sliderleft.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.sliderleft.setTickInterval(100)
-
-        self.leftvalue = QtWidgets.QLabel('0', self)
-        self.leftvalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.leftvalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(hboxleft)
-        hboxleft.addWidget(labelleft)
-        hboxleft.addWidget(self.sliderleft)
-        hboxleft.addWidget(self.leftvalue)
-
-        # slider right
-        hboxright = QtWidgets.QHBoxLayout()
-        self.labelright = QtWidgets.QLabel('right', self)
-        self.labelright.setMinimumSize(QtCore.QSize(50, 0))
-        self.labelright.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.sliderright = QtWidgets.QSlider(self)
-        self.sliderright.setMouseTracking(False)
-        self.sliderright.setProperty("value", 0)
-        self.sliderright.setOrientation(QtCore.Qt.Horizontal)
-        self.sliderright.setInvertedAppearance(False)
-        self.sliderright.setInvertedControls(False)
-        self.sliderright.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.sliderright.setTickInterval(100)
-
-        self.rightvalue = QtWidgets.QLabel('0', self)
-        self.rightvalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.rightvalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(hboxright)
-        hboxright.addWidget(self.labelright)
-        hboxright.addWidget(self.sliderright)
-        hboxright.addWidget(self.rightvalue)
-
-        # groupbox spacings
-        groupbox = QtWidgets.QGroupBox('Spacings', self)
-        gbox.addWidget(groupbox, 7, 0, 1, 1)
-        self.verticalLayout = QtWidgets.QVBoxLayout(groupbox)
-        self.verticalLayout.setSpacing(0)
-
-        # slider hspace
-        hboxhspace = QtWidgets.QHBoxLayout()
-        self.labelhspace = QtWidgets.QLabel('hspace', self)
-        self.labelhspace.setMinimumSize(QtCore.QSize(50, 0))
-        self.labelhspace.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.sliderhspace = QtWidgets.QSlider(self)
-        self.sliderhspace.setMouseTracking(False)
-        self.sliderhspace.setProperty("value", 0)
-        self.sliderhspace.setOrientation(QtCore.Qt.Horizontal)
-        self.sliderhspace.setInvertedAppearance(False)
-        self.sliderhspace.setInvertedControls(False)
-        self.sliderhspace.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.sliderhspace.setTickInterval(100)
-
-        self.hspacevalue = QtWidgets.QLabel('0', self)
-        self.hspacevalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.hspacevalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(hboxhspace)
-        hboxhspace.addWidget(self.labelhspace)
-        hboxhspace.addWidget(self.sliderhspace)
-        hboxhspace.addWidget(self.hspacevalue)  # slider hspace
-
-        # slider wspace
-        hboxwspace = QtWidgets.QHBoxLayout()
-        self.labelwspace = QtWidgets.QLabel('wspace', self)
-        self.labelwspace.setMinimumSize(QtCore.QSize(50, 0))
-        self.labelwspace.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.sliderwspace = QtWidgets.QSlider(self)
-        self.sliderwspace.setMouseTracking(False)
-        self.sliderwspace.setProperty("value", 0)
-        self.sliderwspace.setOrientation(QtCore.Qt.Horizontal)
-        self.sliderwspace.setInvertedAppearance(False)
-        self.sliderwspace.setInvertedControls(False)
-        self.sliderwspace.setTickPosition(QtWidgets.QSlider.TicksAbove)
-        self.sliderwspace.setTickInterval(100)
-
-        self.wspacevalue = QtWidgets.QLabel('0', self)
-        self.wspacevalue.setMinimumSize(QtCore.QSize(30, 0))
-        self.wspacevalue.setAlignment(
-            QtCore.Qt.AlignRight |
-            QtCore.Qt.AlignTrailing |
-            QtCore.Qt.AlignVCenter)
-
-        self.verticalLayout.addLayout(hboxwspace)
-        hboxwspace.addWidget(self.labelwspace)
-        hboxwspace.addWidget(self.sliderwspace)
-        hboxwspace.addWidget(self.wspacevalue)
-
-        # button bar
-        hbox2 = QtWidgets.QHBoxLayout()
-        gbox.addLayout(hbox2, 8, 0, 1, 1)
-        self.tightlayout = QtWidgets.QPushButton('Tight Layout', self)
-        spacer = QtWidgets.QSpacerItem(
-            5, 20, QtWidgets.QSizePolicy.Expanding,
-            QtWidgets.QSizePolicy.Minimum)
-        self.resetbutton = QtWidgets.QPushButton('Reset', self)
-        self.donebutton = QtWidgets.QPushButton('Close', self)
-        self.donebutton.setFocus()
-        hbox2.addWidget(self.tightlayout)
-        hbox2.addItem(spacer)
-        hbox2.addWidget(self.resetbutton)
-        hbox2.addWidget(self.donebutton)
-
-        self.donebutton.clicked.connect(self.accept)
diff --git a/lib/matplotlib/backends/qt_editor/meson.build b/lib/matplotlib/backends/qt_editor/meson.build
new file mode 100644
index 000000000000..1f4ea9cd4691
--- /dev/null
+++ b/lib/matplotlib/backends/qt_editor/meson.build
@@ -0,0 +1,11 @@
+python_sources = [
+  '__init__.py',
+  '_formlayout.py',
+  'figureoptions.py',
+]
+
+typing_sources = [
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/backends/qt_editor')
diff --git a/lib/matplotlib/backends/registry.py b/lib/matplotlib/backends/registry.py
new file mode 100644
index 000000000000..7f5a53f917a4
--- /dev/null
+++ b/lib/matplotlib/backends/registry.py
@@ -0,0 +1,414 @@
+from enum import Enum
+import importlib
+
+
+class BackendFilter(Enum):
+    """
+    Filter used with :meth:`~matplotlib.backends.registry.BackendRegistry.list_builtin`
+
+    .. versionadded:: 3.9
+    """
+    INTERACTIVE = 0
+    NON_INTERACTIVE = 1
+
+
+class BackendRegistry:
+    """
+    Registry of backends available within Matplotlib.
+
+    This is the single source of truth for available backends.
+
+    All use of ``BackendRegistry`` should be via the singleton instance
+    ``backend_registry`` which can be imported from ``matplotlib.backends``.
+
+    Each backend has a name, a module name containing the backend code, and an
+    optional GUI framework that must be running if the backend is interactive.
+    There are three sources of backends: built-in (source code is within the
+    Matplotlib repository), explicit ``module://some.backend`` syntax (backend is
+    obtained by loading the module), or via an entry point (self-registering
+    backend in an external package).
+
+    .. versionadded:: 3.9
+    """
+    # Mapping of built-in backend name to GUI framework, or "headless" for no
+    # GUI framework. Built-in backends are those which are included in the
+    # Matplotlib repo. A backend with name 'name' is located in the module
+    # f"matplotlib.backends.backend_{name.lower()}"
+    _BUILTIN_BACKEND_TO_GUI_FRAMEWORK = {
+        "gtk3agg": "gtk3",
+        "gtk3cairo": "gtk3",
+        "gtk4agg": "gtk4",
+        "gtk4cairo": "gtk4",
+        "macosx": "macosx",
+        "nbagg": "nbagg",
+        "notebook": "nbagg",
+        "qtagg": "qt",
+        "qtcairo": "qt",
+        "qt5agg": "qt5",
+        "qt5cairo": "qt5",
+        "tkagg": "tk",
+        "tkcairo": "tk",
+        "webagg": "webagg",
+        "wx": "wx",
+        "wxagg": "wx",
+        "wxcairo": "wx",
+        "agg": "headless",
+        "cairo": "headless",
+        "pdf": "headless",
+        "pgf": "headless",
+        "ps": "headless",
+        "svg": "headless",
+        "template": "headless",
+    }
+
+    # Reverse mapping of gui framework to preferred built-in backend.
+    _GUI_FRAMEWORK_TO_BACKEND = {
+        "gtk3": "gtk3agg",
+        "gtk4": "gtk4agg",
+        "headless": "agg",
+        "macosx": "macosx",
+        "qt": "qtagg",
+        "qt5": "qt5agg",
+        "qt6": "qtagg",
+        "tk": "tkagg",
+        "wx": "wxagg",
+    }
+
+    def __init__(self):
+        # Only load entry points when first needed.
+        self._loaded_entry_points = False
+
+        # Mapping of non-built-in backend to GUI framework, added dynamically from
+        # entry points and from matplotlib.use("module://some.backend") format.
+        # New entries have an "unknown" GUI framework that is determined when first
+        # needed by calling _get_gui_framework_by_loading.
+        self._backend_to_gui_framework = {}
+
+        # Mapping of backend name to module name, where different from
+        # f"matplotlib.backends.backend_{backend_name.lower()}". These are either
+        # hardcoded for backward compatibility, or loaded from entry points or
+        # "module://some.backend" syntax.
+        self._name_to_module = {
+            "notebook": "nbagg",
+        }
+
+    def _backend_module_name(self, backend):
+        if backend.startswith("module://"):
+            return backend[9:]
+
+        # Return name of module containing the specified backend.
+        # Does not check if the backend is valid, use is_valid_backend for that.
+        backend = backend.lower()
+
+        # Check if have specific name to module mapping.
+        backend = self._name_to_module.get(backend, backend)
+
+        return (backend[9:] if backend.startswith("module://")
+                else f"matplotlib.backends.backend_{backend}")
+
+    def _clear(self):
+        # Clear all dynamically-added data, used for testing only.
+        self.__init__()
+
+    def _ensure_entry_points_loaded(self):
+        # Load entry points, if they have not already been loaded.
+        if not self._loaded_entry_points:
+            entries = self._read_entry_points()
+            self._validate_and_store_entry_points(entries)
+            self._loaded_entry_points = True
+
+    def _get_gui_framework_by_loading(self, backend):
+        # Determine GUI framework for a backend by loading its module and reading the
+        # FigureCanvas.required_interactive_framework attribute.
+        # Returns "headless" if there is no GUI framework.
+        module = self.load_backend_module(backend)
+        canvas_class = module.FigureCanvas
+        return canvas_class.required_interactive_framework or "headless"
+
+    def _read_entry_points(self):
+        # Read entry points of modules that self-advertise as Matplotlib backends.
+        # Expects entry points like this one from matplotlib-inline (in pyproject.toml
+        # format):
+        #   [project.entry-points."matplotlib.backend"]
+        #   inline = "matplotlib_inline.backend_inline"
+        import importlib.metadata as im
+
+        entry_points = im.entry_points(group="matplotlib.backend")
+        entries = [(entry.name, entry.value) for entry in entry_points]
+
+        # For backward compatibility, if matplotlib-inline and/or ipympl are installed
+        # but too old to include entry points, create them. Do not import ipympl
+        # directly as this calls matplotlib.use() whilst in this function.
+        def backward_compatible_entry_points(
+                entries, module_name, threshold_version, names, target):
+            from matplotlib import _parse_to_version_info
+            try:
+                module_version = im.version(module_name)
+                if _parse_to_version_info(module_version) < threshold_version:
+                    for name in names:
+                        entries.append((name, target))
+            except im.PackageNotFoundError:
+                pass
+
+        names = [entry[0] for entry in entries]
+        if "inline" not in names:
+            backward_compatible_entry_points(
+                entries, "matplotlib_inline", (0, 1, 7), ["inline"],
+                "matplotlib_inline.backend_inline")
+        if "ipympl" not in names:
+            backward_compatible_entry_points(
+                entries, "ipympl", (0, 9, 4), ["ipympl", "widget"],
+                "ipympl.backend_nbagg")
+
+        return entries
+
+    def _validate_and_store_entry_points(self, entries):
+        # Validate and store entry points so that they can be used via matplotlib.use()
+        # in the normal manner. Entry point names cannot be of module:// format, cannot
+        # shadow a built-in backend name, and there cannot be multiple entry points
+        # with the same name but different modules. Multiple entry points with the same
+        # name and value are permitted (it can sometimes happen outside of our control,
+        # see https://github.com/matplotlib/matplotlib/issues/28367).
+        for name, module in set(entries):
+            name = name.lower()
+            if name.startswith("module://"):
+                raise RuntimeError(
+                    f"Entry point name '{name}' cannot start with 'module://'")
+            if name in self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK:
+                raise RuntimeError(f"Entry point name '{name}' is a built-in backend")
+            if name in self._backend_to_gui_framework:
+                raise RuntimeError(f"Entry point name '{name}' duplicated")
+
+            self._name_to_module[name] = "module://" + module
+            # Do not yet know backend GUI framework, determine it only when necessary.
+            self._backend_to_gui_framework[name] = "unknown"
+
+    def backend_for_gui_framework(self, framework):
+        """
+        Return the name of the backend corresponding to the specified GUI framework.
+
+        Parameters
+        ----------
+        framework : str
+            GUI framework such as "qt".
+
+        Returns
+        -------
+        str or None
+            Backend name or None if GUI framework not recognised.
+        """
+        return self._GUI_FRAMEWORK_TO_BACKEND.get(framework.lower())
+
+    def is_valid_backend(self, backend):
+        """
+        Return True if the backend name is valid, False otherwise.
+
+        A backend name is valid if it is one of the built-in backends or has been
+        dynamically added via an entry point. Those beginning with ``module://`` are
+        always considered valid and are added to the current list of all backends
+        within this function.
+
+        Even if a name is valid, it may not be importable or usable. This can only be
+        determined by loading and using the backend module.
+
+        Parameters
+        ----------
+        backend : str
+            Name of backend.
+
+        Returns
+        -------
+        bool
+            True if backend is valid, False otherwise.
+        """
+        if not backend.startswith("module://"):
+            backend = backend.lower()
+
+        # For backward compatibility, convert ipympl and matplotlib-inline long
+        # module:// names to their shortened forms.
+        backwards_compat = {
+            "module://ipympl.backend_nbagg": "widget",
+            "module://matplotlib_inline.backend_inline": "inline",
+        }
+        backend = backwards_compat.get(backend, backend)
+
+        if (backend in self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK or
+                backend in self._backend_to_gui_framework):
+            return True
+
+        if backend.startswith("module://"):
+            self._backend_to_gui_framework[backend] = "unknown"
+            return True
+
+        # Only load entry points if really need to and not already done so.
+        self._ensure_entry_points_loaded()
+        if backend in self._backend_to_gui_framework:
+            return True
+
+        return False
+
+    def list_all(self):
+        """
+        Return list of all known backends.
+
+        These include built-in backends and those obtained at runtime either from entry
+        points or explicit ``module://some.backend`` syntax.
+
+        Entry points will be loaded if they haven't been already.
+
+        Returns
+        -------
+        list of str
+            Backend names.
+        """
+        self._ensure_entry_points_loaded()
+        return [*self.list_builtin(), *self._backend_to_gui_framework]
+
+    def list_builtin(self, filter_=None):
+        """
+        Return list of backends that are built into Matplotlib.
+
+        Parameters
+        ----------
+        filter_ : `~.BackendFilter`, optional
+            Filter to apply to returned backends. For example, to return only
+            non-interactive backends use `.BackendFilter.NON_INTERACTIVE`.
+
+        Returns
+        -------
+        list of str
+            Backend names.
+        """
+        if filter_ == BackendFilter.INTERACTIVE:
+            return [k for k, v in self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK.items()
+                    if v != "headless"]
+        elif filter_ == BackendFilter.NON_INTERACTIVE:
+            return [k for k, v in self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK.items()
+                    if v == "headless"]
+
+        return [*self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK]
+
+    def list_gui_frameworks(self):
+        """
+        Return list of GUI frameworks used by Matplotlib backends.
+
+        Returns
+        -------
+        list of str
+            GUI framework names.
+        """
+        return [k for k in self._GUI_FRAMEWORK_TO_BACKEND if k != "headless"]
+
+    def load_backend_module(self, backend):
+        """
+        Load and return the module containing the specified backend.
+
+        Parameters
+        ----------
+        backend : str
+            Name of backend to load.
+
+        Returns
+        -------
+        Module
+            Module containing backend.
+        """
+        module_name = self._backend_module_name(backend)
+        return importlib.import_module(module_name)
+
+    def resolve_backend(self, backend):
+        """
+        Return the backend and GUI framework for the specified backend name.
+
+        If the GUI framework is not yet known then it will be determined by loading the
+        backend module and checking the ``FigureCanvas.required_interactive_framework``
+        attribute.
+
+        This function only loads entry points if they have not already been loaded and
+        the backend is not built-in and not of ``module://some.backend`` format.
+
+        Parameters
+        ----------
+        backend : str or None
+            Name of backend, or None to use the default backend.
+
+        Returns
+        -------
+        backend : str
+            The backend name.
+        framework : str or None
+            The GUI framework, which will be None for a backend that is non-interactive.
+        """
+        if isinstance(backend, str):
+            if not backend.startswith("module://"):
+                backend = backend.lower()
+        else:  # Might be _auto_backend_sentinel or None
+            # Use whatever is already running...
+            from matplotlib import get_backend
+            backend = get_backend()
+
+        # Is backend already known (built-in or dynamically loaded)?
+        gui = (self._BUILTIN_BACKEND_TO_GUI_FRAMEWORK.get(backend) or
+               self._backend_to_gui_framework.get(backend))
+
+        # Is backend "module://something"?
+        if gui is None and isinstance(backend, str) and backend.startswith("module://"):
+            gui = "unknown"
+
+        # Is backend a possible entry point?
+        if gui is None and not self._loaded_entry_points:
+            self._ensure_entry_points_loaded()
+            gui = self._backend_to_gui_framework.get(backend)
+
+        # Backend known but not its gui framework.
+        if gui == "unknown":
+            gui = self._get_gui_framework_by_loading(backend)
+            self._backend_to_gui_framework[backend] = gui
+
+        if gui is None:
+            raise RuntimeError(f"'{backend}' is not a recognised backend name")
+
+        return backend, gui if gui != "headless" else None
+
+    def resolve_gui_or_backend(self, gui_or_backend):
+        """
+        Return the backend and GUI framework for the specified string that may be
+        either a GUI framework or a backend name, tested in that order.
+
+        This is for use with the IPython %matplotlib magic command which may be a GUI
+        framework such as ``%matplotlib qt`` or a backend name such as
+        ``%matplotlib qtagg``.
+
+        This function only loads entry points if they have not already been loaded and
+        the backend is not built-in and not of ``module://some.backend`` format.
+
+        Parameters
+        ----------
+        gui_or_backend : str or None
+            Name of GUI framework or backend, or None to use the default backend.
+
+        Returns
+        -------
+        backend : str
+            The backend name.
+        framework : str or None
+            The GUI framework, which will be None for a backend that is non-interactive.
+        """
+        if not gui_or_backend.startswith("module://"):
+            gui_or_backend = gui_or_backend.lower()
+
+        # First check if it is a gui loop name.
+        backend = self.backend_for_gui_framework(gui_or_backend)
+        if backend is not None:
+            return backend, gui_or_backend if gui_or_backend != "headless" else None
+
+        # Then check if it is a backend name.
+        try:
+            return self.resolve_backend(gui_or_backend)
+        except Exception:  # KeyError ?
+            raise RuntimeError(
+                f"'{gui_or_backend}' is not a recognised GUI loop or backend name")
+
+
+# Singleton
+backend_registry = BackendRegistry()
diff --git a/lib/matplotlib/backends/registry.pyi b/lib/matplotlib/backends/registry.pyi
new file mode 100644
index 000000000000..565f044bf212
--- /dev/null
+++ b/lib/matplotlib/backends/registry.pyi
@@ -0,0 +1,35 @@
+from enum import Enum
+from types import ModuleType
+
+
+class BackendFilter(Enum):
+    INTERACTIVE = 0
+    NON_INTERACTIVE = 1
+
+
+class BackendRegistry:
+    _BUILTIN_BACKEND_TO_GUI_FRAMEWORK: dict[str, str]
+    _GUI_FRAMEWORK_TO_BACKEND: dict[str, str]
+
+    _loaded_entry_points: bool
+    _backend_to_gui_framework: dict[str, str]
+    _name_to_module: dict[str, str]
+
+    def _backend_module_name(self, backend: str) -> str: ...
+    def _clear(self) -> None: ...
+    def _ensure_entry_points_loaded(self) -> None: ...
+    def _get_gui_framework_by_loading(self, backend: str) -> str: ...
+    def _read_entry_points(self) -> list[tuple[str, str]]: ...
+    def _validate_and_store_entry_points(self, entries: list[tuple[str, str]]) -> None: ...
+
+    def backend_for_gui_framework(self, framework: str) -> str | None: ...
+    def is_valid_backend(self, backend: str) -> bool: ...
+    def list_all(self) -> list[str]: ...
+    def list_builtin(self, filter_: BackendFilter | None) -> list[str]: ...
+    def list_gui_frameworks(self) -> list[str]: ...
+    def load_backend_module(self, backend: str) -> ModuleType: ...
+    def resolve_backend(self, backend: str | None) -> tuple[str, str | None]: ...
+    def resolve_gui_or_backend(self, gui_or_backend: str | None) -> tuple[str, str | None]: ...
+
+
+backend_registry: BackendRegistry
diff --git a/lib/matplotlib/backends/tkagg.py b/lib/matplotlib/backends/tkagg.py
deleted file mode 100644
index 81fe9265a351..000000000000
--- a/lib/matplotlib/backends/tkagg.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import tkinter as Tk
-
-import numpy as np
-
-from matplotlib.backends import _tkagg
-
-def blit(photoimage, aggimage, bbox=None, colormode=1):
-    tk = photoimage.tk
-
-    if bbox is not None:
-        bbox_array = bbox.__array__()
-    else:
-        bbox_array = None
-    data = np.asarray(aggimage)
-    try:
-        tk.call(
-            "PyAggImagePhoto", photoimage,
-            id(data), colormode, id(bbox_array))
-    except Tk.TclError:
-        try:
-            try:
-                _tkagg.tkinit(tk.interpaddr(), 1)
-            except AttributeError:
-                _tkagg.tkinit(id(tk), 0)
-            tk.call("PyAggImagePhoto", photoimage,
-                    id(data), colormode, id(bbox_array))
-        except (ImportError, AttributeError, Tk.TclError):
-            raise
-
-def test(aggimage):
-    import time
-    r = Tk.Tk()
-    c = Tk.Canvas(r, width=aggimage.width, height=aggimage.height)
-    c.pack()
-    p = Tk.PhotoImage(width=aggimage.width, height=aggimage.height)
-    blit(p, aggimage)
-    c.create_image(aggimage.width,aggimage.height,image=p)
-    blit(p, aggimage)
-    while 1: r.update_idletasks()
diff --git a/lib/matplotlib/backends/web_backend/.eslintrc.js b/lib/matplotlib/backends/web_backend/.eslintrc.js
new file mode 100644
index 000000000000..6f3581a1c6c7
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/.eslintrc.js
@@ -0,0 +1,32 @@
+module.exports = {
+  root: true,
+  ignorePatterns: ["jquery-ui-*/", "node_modules/"],
+  env: {
+    browser: true,
+    jquery: true,
+  },
+  extends: ["eslint:recommended", "prettier"],
+  globals: {
+    IPython: "readonly",
+    MozWebSocket: "readonly",
+  },
+  rules: {
+    indent: ["error", 2, { SwitchCase: 1 }],
+    "no-unused-vars": [
+      "error",
+      {
+        argsIgnorePattern: "^_",
+      },
+    ],
+    quotes: ["error", "double", { avoidEscape: true }],
+  },
+  overrides: [
+    {
+      files: "js/**/*.js",
+      rules: {
+        indent: ["error", 4, { SwitchCase: 1 }],
+        quotes: ["error", "single", { avoidEscape: true }],
+      },
+    },
+  ],
+};
diff --git a/lib/matplotlib/backends/web_backend/.prettierignore b/lib/matplotlib/backends/web_backend/.prettierignore
new file mode 100644
index 000000000000..06a29c66e0fc
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/.prettierignore
@@ -0,0 +1,7 @@
+node_modules/
+
+# Vendored dependencies
+css/boilerplate.css
+css/fbm.css
+css/page.css
+jquery-ui-*/
diff --git a/lib/matplotlib/backends/web_backend/.prettierrc b/lib/matplotlib/backends/web_backend/.prettierrc
new file mode 100644
index 000000000000..fe8d711065d6
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/.prettierrc
@@ -0,0 +1,11 @@
+{
+  "overrides": [
+    {
+      "files": "js/**/*.js",
+      "options": {
+        "singleQuote": true,
+        "tabWidth": 4,
+      }
+    }
+  ]
+}
diff --git a/lib/matplotlib/backends/web_backend/all_figures.html b/lib/matplotlib/backends/web_backend/all_figures.html
index 73c34b47fd3a..62f04b65c9bf 100644
--- a/lib/matplotlib/backends/web_backend/all_figures.html
+++ b/lib/matplotlib/backends/web_backend/all_figures.html
@@ -1,34 +1,43 @@
-<html>
+<!DOCTYPE html>
+<html lang="en">
   <head>
     <link rel="stylesheet" href="{{ prefix }}/_static/css/page.css" type="text/css">
-    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css" />
-    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css" />
-    <link rel="stylesheet" href="{{ prefix }}/_static/jquery/css/themes/base/jquery-ui.min.css" >
-    <script src="{{ prefix }}/_static/jquery/js/jquery-1.7.1.min.js"></script>
-    <script src="{{ prefix }}/_static/jquery/js/jquery-ui.min.js"></script>
-    <script src="{{ prefix }}/_static/mpl_tornado.js"></script>
-    <script src="{{ prefix }}/mpl.js"></script>
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/mpl.css" type="text/css">
+    <script src="{{ prefix }}/_static/js/mpl_tornado.js"></script>
+    <script src="{{ prefix }}/js/mpl.js"></script>
 
     <script>
-      {% for (fig_id, fig_manager) in figures %}
-        $(document).ready(
-        function() {
-          var main_div = $('div#figures');
-          var figure_div = $('<div id="figure-div"/>')
-          main_div.append(figure_div);
+      function ready(fn) {
+        if (document.readyState != "loading") {
+          fn();
+        } else {
+          document.addEventListener("DOMContentLoaded", fn);
+        }
+      }
+
+      function figure_ready(fig_id) {
+        return function () {
+          var main_div = document.querySelector("div#figures");
+          var figure_div = document.createElement("div");
+          figure_div.id = "figure-div";
+          main_div.appendChild(figure_div);
           var websocket_type = mpl.get_websocket_type();
-          var websocket = new websocket_type(
-              "{{ ws_uri }}" + "{{ fig_id }}" + "/ws");
-          var fig = new mpl.figure(
-              "{{ fig_id }}", websocket, mpl_ondownload, figure_div);
+          var uri = "{{ ws_uri }}" + fig_id + "/ws";
+          if (window.location.protocol === "https:") uri = uri.replace('ws:', 'wss:')
+          var websocket = new websocket_type(uri);
+          var fig = new mpl.figure(fig_id, websocket, mpl_ondownload, figure_div);
 
           fig.focus_on_mouseover = true;
 
-          $(fig.canvas).attr('tabindex', {{ fig_id }});
-          }
-        );
+          fig.canvas.setAttribute("tabindex", fig_id);
+        }
+      };
 
-	{% end %}
+      {% for (fig_id, fig_manager) in figures %}
+        ready(figure_ready({{ str(fig_id) }}));
+      {% end %}
     </script>
 
   <title>MPL | WebAgg current figures</title>
diff --git a/lib/matplotlib/backends/web_backend/css/fbm.css b/lib/matplotlib/backends/web_backend/css/fbm.css
index 0e21d19ae801..ce35d99a5e64 100644
--- a/lib/matplotlib/backends/web_backend/css/fbm.css
+++ b/lib/matplotlib/backends/web_backend/css/fbm.css
@@ -1,95 +1,95 @@
 
 /* Flexible box model classes */
-/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
- 
+/* Taken from Alex Russell https://infrequently.org/2009/08/css-3-progress/ */
+
 .hbox {
 	display: -webkit-box;
 	-webkit-box-orient: horizontal;
 	-webkit-box-align: stretch;
- 
+
 	display: -moz-box;
 	-moz-box-orient: horizontal;
 	-moz-box-align: stretch;
- 
+
 	display: box;
 	box-orient: horizontal;
 	box-align: stretch;
 }
- 
+
 .hbox > * {
 	-webkit-box-flex: 0;
 	-moz-box-flex: 0;
 	box-flex: 0;
 }
- 
+
 .vbox {
 	display: -webkit-box;
 	-webkit-box-orient: vertical;
 	-webkit-box-align: stretch;
- 
+
 	display: -moz-box;
 	-moz-box-orient: vertical;
 	-moz-box-align: stretch;
- 
+
 	display: box;
 	box-orient: vertical;
 	box-align: stretch;
 }
- 
+
 .vbox > * {
 	-webkit-box-flex: 0;
 	-moz-box-flex: 0;
 	box-flex: 0;
 }
-  
+
 .reverse {
 	-webkit-box-direction: reverse;
 	-moz-box-direction: reverse;
 	box-direction: reverse;
 }
- 
+
 .box-flex0 {
 	-webkit-box-flex: 0;
 	-moz-box-flex: 0;
 	box-flex: 0;
 }
- 
+
 .box-flex1, .box-flex {
 	-webkit-box-flex: 1;
 	-moz-box-flex: 1;
 	box-flex: 1;
 }
- 
+
 .box-flex2 {
 	-webkit-box-flex: 2;
 	-moz-box-flex: 2;
 	box-flex: 2;
 }
- 
+
 .box-group1 {
 	-webkit-box-flex-group: 1;
 	-moz-box-flex-group: 1;
 	box-flex-group: 1;
 }
- 
+
 .box-group2 {
 	-webkit-box-flex-group: 2;
 	-moz-box-flex-group: 2;
 	box-flex-group: 2;
 }
- 
+
 .start {
 	-webkit-box-pack: start;
 	-moz-box-pack: start;
 	box-pack: start;
 }
- 
+
 .end {
 	-webkit-box-pack: end;
 	-moz-box-pack: end;
 	box-pack: end;
 }
- 
+
 .center {
 	-webkit-box-pack: center;
 	-moz-box-pack: center;
diff --git a/lib/matplotlib/backends/web_backend/css/mpl.css b/lib/matplotlib/backends/web_backend/css/mpl.css
new file mode 100644
index 000000000000..e55733d25ecf
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/css/mpl.css
@@ -0,0 +1,84 @@
+/* General styling */
+.ui-helper-clearfix:before,
+.ui-helper-clearfix:after {
+  content: "";
+  display: table;
+  border-collapse: collapse;
+}
+.ui-helper-clearfix:after {
+  clear: both;
+}
+
+/* Header */
+.ui-widget-header {
+  border: 1px solid #dddddd;
+  border-top-left-radius: 6px;
+  border-top-right-radius: 6px;
+  background: #e9e9e9;
+  color: #333333;
+  font-weight: bold;
+}
+
+/* Toolbar and items */
+.mpl-toolbar {
+  width: 100%;
+}
+
+.mpl-toolbar div.mpl-button-group {
+  display: inline-block;
+}
+
+.mpl-button-group + .mpl-button-group {
+  margin-left: 0.5em;
+}
+
+.mpl-widget {
+  background-color: #fff;
+  border: 1px solid #ccc;
+  display: inline-block;
+  cursor: pointer;
+  color: #333;
+  padding: 6px;
+  vertical-align: middle;
+}
+
+.mpl-widget:disabled,
+.mpl-widget[disabled] {
+  background-color: #ddd;
+  border-color: #ddd !important;
+  cursor: not-allowed;
+}
+
+.mpl-widget:disabled img,
+.mpl-widget[disabled] img {
+  /* Convert black to grey */
+  filter: contrast(0%);
+}
+
+.mpl-widget.active img {
+  /* Convert black to tab:blue, approximately */
+  filter: invert(34%) sepia(97%) saturate(468%) hue-rotate(162deg) brightness(96%) contrast(91%);
+}
+
+button.mpl-widget:focus,
+button.mpl-widget:hover {
+  background-color: #ddd;
+  border-color: #aaa;
+}
+
+.mpl-button-group button.mpl-widget {
+  margin-left: -1px;
+}
+.mpl-button-group button.mpl-widget:first-child {
+  border-top-left-radius: 6px;
+  border-bottom-left-radius: 6px;
+  margin-left: 0px;
+}
+.mpl-button-group button.mpl-widget:last-child {
+  border-top-right-radius: 6px;
+  border-bottom-right-radius: 6px;
+}
+
+select.mpl-widget {
+  cursor: default;
+}
diff --git a/lib/matplotlib/backends/web_backend/css/page.css b/lib/matplotlib/backends/web_backend/css/page.css
index d284be1f59c4..ded0d9220379 100644
--- a/lib/matplotlib/backends/web_backend/css/page.css
+++ b/lib/matplotlib/backends/web_backend/css/page.css
@@ -78,5 +78,5 @@ span#login_widget {
 #figure-div {
     display: inline-block;
     margin: 10px;
+    vertical-align: top;
 }
-
diff --git a/lib/matplotlib/backends/web_backend/ipython_inline_figure.html b/lib/matplotlib/backends/web_backend/ipython_inline_figure.html
index 100a1e79be37..b941d352a7d6 100644
--- a/lib/matplotlib/backends/web_backend/ipython_inline_figure.html
+++ b/lib/matplotlib/backends/web_backend/ipython_inline_figure.html
@@ -2,17 +2,17 @@
      websocket server, so we have to get in client-side and fetch our
      resources that way. -->
 <script>
-  // We can't proceed until these Javascript files are fetched, so
+  // We can't proceed until these JavaScript files are fetched, so
   // we fetch them synchronously
   $.ajaxSetup({async: false});
-  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/_static/mpl_tornado.js");
-  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/mpl.js");
+  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/_static/js/mpl_tornado.js");
+  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/js/mpl.js");
   $.ajaxSetup({async: true});
 
   function init_figure{{ fig_id }}(e) {
     $('div.output').off('resize');
 
-    var output_div = $(e.target).find('div.output_subarea');
+    var output_div = e.target.querySelector('div.output_subarea');
     var websocket_type = mpl.get_websocket_type();
     var websocket = new websocket_type(
         "ws://" + window.location.hostname + ":{{ port }}{{ prefix}}/" +
diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_flat_0_aaaaaa_40x100.png b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_flat_0_aaaaaa_40x100.png
deleted file mode 100644
index 5b5dab2ab7b1..000000000000
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deleted file mode 100644
index ac8b229af950..000000000000
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diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_55_fbf9ee_1x400.png b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_55_fbf9ee_1x400.png
deleted file mode 100644
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diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_65_ffffff_1x400.png b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-bg_glass_65_ffffff_1x400.png
deleted file mode 100644
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deleted file mode 100644
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deleted file mode 100644
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_888888_256x240.png b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_888888_256x240.png
deleted file mode 100644
index 5ba708c39172..000000000000
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diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_cd0a0a_256x240.png b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/images/ui-icons_cd0a0a_256x240.png
deleted file mode 100644
index 7930a558099b..000000000000
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diff --git a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/jquery-ui.min.css b/lib/matplotlib/backends/web_backend/jquery/css/themes/base/jquery-ui.min.css
deleted file mode 100644
index 82752b5522b9..000000000000
--- a/lib/matplotlib/backends/web_backend/jquery/css/themes/base/jquery-ui.min.css
+++ /dev/null
@@ -1 +0,0 @@
-.ui-helper-hidden{display:none;}.ui-helper-hidden-accessible{position:absolute!important;clip:rect(1px 1px 1px 1px);clip:rect(1px,1px,1px,1px);}.ui-helper-reset{margin:0;padding:0;border:0;outline:0;line-height:1.3;text-decoration:none;font-size:100%;list-style:none;}.ui-helper-clearfix:before,.ui-helper-clearfix:after{content:"";display:table;}.ui-helper-clearfix:after{clear:both;}.ui-helper-clearfix{zoom:1;}.ui-helper-zfix{width:100%;height:100%;top:0;left:0;position:absolute;opacity:0;filter:Alpha(Opacity=0);}.ui-state-disabled{cursor:default!important;}.ui-icon{display:block;text-indent:-99999px;overflow:hidden;background-repeat:no-repeat;}.ui-widget-overlay{position:absolute;top:0;left:0;width:100%;height:100%;}.ui-accordion{width:100%;}.ui-accordion .ui-accordion-header{cursor:pointer;position:relative;margin-top:1px;zoom:1;}.ui-accordion .ui-accordion-header-active{border-bottom:0!important;}.ui-accordion .ui-accordion-heading{display:block;font-size:1em;padding:.5em .5em .5em .7em;}.ui-accordion-icons .ui-accordion-heading{padding-left:2.2em;}.ui-accordion .ui-accordion-header .ui-accordion-header-icon{position:absolute;left:.5em;top:50%;margin-top:-8px;}.ui-accordion .ui-accordion-content{padding:1em 2.2em;border-top:0;margin-top:-2px;position:relative;top:1px;margin-bottom:2px;overflow:auto;display:none;zoom:1;}.ui-accordion .ui-accordion-content-active{display:block;}.ui-autocomplete{position:absolute;cursor:default;}* html .ui-autocomplete{width:1px;}.ui-button{display:inline-block;position:relative;padding:0;margin-right:.1em;text-decoration:none!important;cursor:pointer;text-align:center;zoom:1;overflow:hidden;*overflow:visible;}.ui-button-icon-only{width:2.2em;}button.ui-button-icon-only{width:2.4em;}.ui-button-icons-only{width:3.4em;}button.ui-button-icons-only{width:3.7em;}.ui-button .ui-button-text{display:block;line-height:1.4;}.ui-button-text-only .ui-button-text{padding:.4em 1em;}.ui-button-icon-only .ui-button-text,.ui-button-icons-only .ui-button-text{padding:.4em;text-indent:-9999999px;}.ui-button-text-icon-primary .ui-button-text,.ui-button-text-icons .ui-button-text{padding:.4em 1em .4em 2.1em;}.ui-button-text-icon-secondary .ui-button-text,.ui-button-text-icons .ui-button-text{padding:.4em 2.1em .4em 1em;}.ui-button-text-icons .ui-button-text{padding-left:2.1em;padding-right:2.1em;}input.ui-button{padding:.4em 1em;}.ui-button-icon-only .ui-icon,.ui-button-text-icon-primary .ui-icon,.ui-button-text-icon-secondary .ui-icon,.ui-button-text-icons .ui-icon,.ui-button-icons-only .ui-icon{position:absolute;top:50%;margin-top:-8px;}.ui-button-icon-only .ui-icon{left:50%;margin-left:-8px;}.ui-button-text-icon-primary .ui-button-icon-primary,.ui-button-text-icons .ui-button-icon-primary,.ui-button-icons-only .ui-button-icon-primary{left:.5em;}.ui-button-text-icon-secondary .ui-button-icon-secondary,.ui-button-text-icons .ui-button-icon-secondary,.ui-button-icons-only .ui-button-icon-secondary{right:.5em;}.ui-button-text-icons .ui-button-icon-secondary,.ui-button-icons-only .ui-button-icon-secondary{right:.5em;}.ui-buttonset{margin-right:7px;}.ui-buttonset .ui-button{margin-left:0;margin-right:-.3em;}button.ui-button::-moz-focus-inner{border:0;padding:0;}.ui-datepicker{width:17em;padding:.2em .2em 0;display:none;}.ui-datepicker .ui-datepicker-header{position:relative;padding:.2em 0;}.ui-datepicker .ui-datepicker-prev,.ui-datepicker .ui-datepicker-next{position:absolute;top:2px;width:1.8em;height:1.8em;}.ui-datepicker .ui-datepicker-prev-hover,.ui-datepicker .ui-datepicker-next-hover{top:1px;}.ui-datepicker .ui-datepicker-prev{left:2px;}.ui-datepicker .ui-datepicker-next{right:2px;}.ui-datepicker .ui-datepicker-prev-hover{left:1px;}.ui-datepicker .ui-datepicker-next-hover{right:1px;}.ui-datepicker .ui-datepicker-prev span,.ui-datepicker .ui-datepicker-next span{display:block;position:absolute;left:50%;margin-left:-8px;top:50%;margin-top:-8px;}.ui-datepicker .ui-datepicker-title{margin:0 2.3em;line-height:1.8em;text-align:center;}.ui-datepicker .ui-datepicker-title select{font-size:1em;margin:1px 0;}.ui-datepicker select.ui-datepicker-month-year{width:100%;}.ui-datepicker select.ui-datepicker-month,.ui-datepicker select.ui-datepicker-year{width:49%;}.ui-datepicker table{width:100%;font-size:.9em;border-collapse:collapse;margin:0 0 .4em;}.ui-datepicker th{padding:.7em .3em;text-align:center;font-weight:bold;border:0;}.ui-datepicker td{border:0;padding:1px;}.ui-datepicker td span,.ui-datepicker td a{display:block;padding:.2em;text-align:right;text-decoration:none;}.ui-datepicker .ui-datepicker-buttonpane{background-image:none;margin:.7em 0 0 0;padding:0 .2em;border-left:0;border-right:0;border-bottom:0;}.ui-datepicker .ui-datepicker-buttonpane button{float:right;margin:.5em .2em .4em;cursor:pointer;padding:.2em .6em .3em .6em;width:auto;overflow:visible;}.ui-datepicker .ui-datepicker-buttonpane button.ui-datepicker-current{float:left;}.ui-datepicker.ui-datepicker-multi{width:auto;}.ui-datepicker-multi .ui-datepicker-group{float:left;}.ui-datepicker-multi .ui-datepicker-group table{width:95%;margin:0 auto .4em;}.ui-datepicker-multi-2 .ui-datepicker-group{width:50%;}.ui-datepicker-multi-3 .ui-datepicker-group{width:33.3%;}.ui-datepicker-multi-4 .ui-datepicker-group{width:25%;}.ui-datepicker-multi .ui-datepicker-group-last .ui-datepicker-header{border-left-width:0;}.ui-datepicker-multi .ui-datepicker-group-middle .ui-datepicker-header{border-left-width:0;}.ui-datepicker-multi .ui-datepicker-buttonpane{clear:left;}.ui-datepicker-row-break{clear:both;width:100%;font-size:0;}.ui-datepicker-rtl{direction:rtl;}.ui-datepicker-rtl .ui-datepicker-prev{right:2px;left:auto;}.ui-datepicker-rtl .ui-datepicker-next{left:2px;right:auto;}.ui-datepicker-rtl 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a.Widget.prototype._trigger.call(this,b,c,d)},plugins:{},_uiHash:function(a){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),a.ui.plugin.add("draggable","connectToSortable",{start:function(b,c){var d=a(this).data("draggable"),e=d.options,f=a.extend({},c,{item:d.element});d.sortables=[],a(e.connectToSortable).each(function(){var c=a.data(this,"sortable");c&&!c.options.disabled&&(d.sortables.push({instance:c,shouldRevert:c.options.revert}),c.refreshPositions(),c._trigger("activate",b,f))})},stop:function(b,c){var d=a(this).data("draggable"),e=a.extend({},c,{item:d.element});a.each(d.sortables,function(){this.instance.isOver?(this.instance.isOver=0,d.cancelHelperRemoval=!0,this.instance.cancelHelperRemoval=!1,this.shouldRevert&&(this.instance.options.revert=!0),this.instance._mouseStop(b),this.instance.options.helper=this.instance.options._helper,d.options.helper=="original"&&this.instance.currentItem.css({top:"auto",left:"auto"})):(this.instance.cancelHelperRemoval=!1,this.instance._trigger("deactivate",b,e))})},drag:function(b,c){var d=a(this).data("draggable"),e=this,f=function(b){var c=this.offset.click.top,d=this.offset.click.left,e=this.positionAbs.top,f=this.positionAbs.left,g=b.height,h=b.width,i=b.top,j=b.left;return a.ui.isOver(e+c,f+d,i,j,g,h)};a.each(d.sortables,function(f){this.instance.positionAbs=d.positionAbs,this.instance.helperProportions=d.helperProportions,this.instance.offset.click=d.offset.click,this.instance._intersectsWith(this.instance.containerCache)?(this.instance.isOver||(this.instance.isOver=1,this.instance.currentItem=a(e).clone().removeAttr("id").appendTo(this.instance.element).data("sortable-item",!0),this.instance.options._helper=this.instance.options.helper,this.instance.options.helper=function(){return c.helper[0]},b.target=this.instance.currentItem[0],this.instance._mouseCapture(b,!0),this.instance._mouseStart(b,!0,!0),this.instance.offset.click.top=d.offset.click.top,this.instance.offset.click.left=d.offset.click.left,this.instance.offset.parent.left-=d.offset.parent.left-this.instance.offset.parent.left,this.instance.offset.parent.top-=d.offset.parent.top-this.instance.offset.parent.top,d._trigger("toSortable",b),d.dropped=this.instance.element,d.currentItem=d.element,this.instance.fromOutside=d),this.instance.currentItem&&this.instance._mouseDrag(b)):this.instance.isOver&&(this.instance.isOver=0,this.instance.cancelHelperRemoval=!0,this.instance.options.revert=!1,this.instance._trigger("out",b,this.instance._uiHash(this.instance)),this.instance._mouseStop(b,!0),this.instance.options.helper=this.instance.options._helper,this.instance.currentItem.remove(),this.instance.placeholder&&this.instance.placeholder.remove(),d._trigger("fromSortable",b),d.dropped=!1)})}}),a.ui.plugin.add("draggable","cursor",{start:function(b,c){var d=a("body"),e=a(this).data("draggable").options;d.css("cursor")&&(e._cursor=d.css("cursor")),d.css("cursor",e.cursor)},stop:function(b,c){var d=a(this).data("draggable").options;d._cursor&&a("body").css("cursor",d._cursor)}}),a.ui.plugin.add("draggable","opacity",{start:function(b,c){var d=a(c.helper),e=a(this).data("draggable").options;d.css("opacity")&&(e._opacity=d.css("opacity")),d.css("opacity",e.opacity)},stop:function(b,c){var d=a(this).data("draggable").options;d._opacity&&a(c.helper).css("opacity",d._opacity)}}),a.ui.plugin.add("draggable","scroll",{start:function(b,c){var d=a(this).data("draggable");d.scrollParent[0]!=document&&d.scrollParent[0].tagName!="HTML"&&(d.overflowOffset=d.scrollParent.offset())},drag:function(b,c){var d=a(this).data("draggable"),e=d.options,f=!1;if(d.scrollParent[0]!=document&&d.scrollParent[0].tagName!="HTML"){if(!e.axis||e.axis!="x")d.overflowOffset.top+d.scrollParent[0].offsetHeight-b.pageY<e.scrollSensitivity?d.scrollParent[0].scrollTop=f=d.scrollParent[0].scrollTop+e.scrollSpeed:b.pageY-d.overflowOffset.top<e.scrollSensitivity&&(d.scrollParent[0].scrollTop=f=d.scrollParent[0].scrollTop-e.scrollSpeed);if(!e.axis||e.axis!="y")d.overflowOffset.left+d.scrollParent[0].offsetWidth-b.pageX<e.scrollSensitivity?d.scrollParent[0].scrollLeft=f=d.scrollParent[0].scrollLeft+e.scrollSpeed:b.pageX-d.overflowOffset.left<e.scrollSensitivity&&(d.scrollParent[0].scrollLeft=f=d.scrollParent[0].scrollLeft-e.scrollSpeed)}else{if(!e.axis||e.axis!="x")b.pageY-a(document).scrollTop()<e.scrollSensitivity?f=a(document).scrollTop(a(document).scrollTop()-e.scrollSpeed):a(window).height()-(b.pageY-a(document).scrollTop())<e.scrollSensitivity&&(f=a(document).scrollTop(a(document).scrollTop()+e.scrollSpeed));if(!e.axis||e.axis!="y")b.pageX-a(document).scrollLeft()<e.scrollSensitivity?f=a(document).scrollLeft(a(document).scrollLeft()-e.scrollSpeed):a(window).width()-(b.pageX-a(document).scrollLeft())<e.scrollSensitivity&&(f=a(document).scrollLeft(a(document).scrollLeft()+e.scrollSpeed))}f!==!1&&a.ui.ddmanager&&!e.dropBehaviour&&a.ui.ddmanager.prepareOffsets(d,b)}}),a.ui.plugin.add("draggable","snap",{start:function(b,c){var d=a(this).data("draggable"),e=d.options;d.snapElements=[],a(e.snap.constructor!=String?e.snap.items||":data(draggable)":e.snap).each(function(){var b=a(this),c=b.offset();this!=d.element[0]&&d.snapElements.push({item:this,width:b.outerWidth(),height:b.outerHeight(),top:c.top,left:c.left})})},drag:function(b,c){var d=a(this).data("draggable"),e=d.options,f=e.snapTolerance,g=c.offset.left,h=g+d.helperProportions.width,i=c.offset.top,j=i+d.helperProportions.height;for(var k=d.snapElements.length-1;k>=0;k--){var l=d.snapElements[k].left,m=l+d.snapElements[k].width,n=d.snapElements[k].top,o=n+d.snapElements[k].height;if(!(l-f<g&&g<m+f&&n-f<i&&i<o+f||l-f<g&&g<m+f&&n-f<j&&j<o+f||l-f<h&&h<m+f&&n-f<i&&i<o+f||l-f<h&&h<m+f&&n-f<j&&j<o+f)){d.snapElements[k].snapping&&d.options.snap.release&&d.options.snap.release.call(d.element,b,a.extend(d._uiHash(),{snapItem:d.snapElements[k].item})),d.snapElements[k].snapping=!1;continue}if(e.snapMode!="inner"){var p=Math.abs(n-j)<=f,q=Math.abs(o-i)<=f,r=Math.abs(l-h)<=f,s=Math.abs(m-g)<=f;p&&(c.position.top=d._convertPositionTo("relative",{top:n-d.helperProportions.height,left:0}).top-d.margins.top),q&&(c.position.top=d._convertPositionTo("relative",{top:o,left:0}).top-d.margins.top),r&&(c.position.left=d._convertPositionTo("relative",{top:0,left:l-d.helperProportions.width}).left-d.margins.left),s&&(c.position.left=d._convertPositionTo("relative",{top:0,left:m}).left-d.margins.left)}var t=p||q||r||s;if(e.snapMode!="outer"){var p=Math.abs(n-i)<=f,q=Math.abs(o-j)<=f,r=Math.abs(l-g)<=f,s=Math.abs(m-h)<=f;p&&(c.position.top=d._convertPositionTo("relative",{top:n,left:0}).top-d.margins.top),q&&(c.position.top=d._convertPositionTo("relative",{top:o-d.helperProportions.height,left:0}).top-d.margins.top),r&&(c.position.left=d._convertPositionTo("relative",{top:0,left:l}).left-d.margins.left),s&&(c.position.left=d._convertPositionTo("relative",{top:0,left:m-d.helperProportions.width}).left-d.margins.left)}!d.snapElements[k].snapping&&(p||q||r||s||t)&&d.options.snap.snap&&d.options.snap.snap.call(d.element,b,a.extend(d._uiHash(),{snapItem:d.snapElements[k].item})),d.snapElements[k].snapping=p||q||r||s||t}}}),a.ui.plugin.add("draggable","stack",{start:function(b,c){var d=a(this).data("draggable").options,e=a.makeArray(a(d.stack)).sort(function(b,c){return(parseInt(a(b).css("zIndex"),10)||0)-(parseInt(a(c).css("zIndex"),10)||0)});if(!!e.length){var f=parseInt(e[0].style.zIndex)||0;a(e).each(function(a){this.style.zIndex=f+a}),this[0].style.zIndex=f+e.length}}}),a.ui.plugin.add("draggable","zIndex",{start:function(b,c){var d=a(c.helper),e=a(this).data("draggable").options;d.css("zIndex")&&(e._zIndex=d.css("zIndex")),d.css("zIndex",e.zIndex)},stop:function(b,c){var d=a(this).data("draggable").options;d._zIndex&&a(c.helper).css("zIndex",d._zIndex)}})}(jQuery),function(a,b){a.widget("ui.droppable",{version:"@VERSION",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect"},_create:function(){var b=this.options,c=b.accept;this.isover=0,this.isout=1,this.accept=a.isFunction(c)?c:function(a){return a.is(c)},this.proportions={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight},a.ui.ddmanager.droppables[b.scope]=a.ui.ddmanager.droppables[b.scope]||[],a.ui.ddmanager.droppables[b.scope].push(this),b.addClasses&&this.element.addClass("ui-droppable")},destroy:function(){var b=a.ui.ddmanager.droppables[this.options.scope];for(var c=0;c<b.length;c++)b[c]==this&&b.splice(c,1);this.element.removeClass("ui-droppable ui-droppable-disabled").removeData("droppable").unbind(".droppable");return this},_setOption:function(b,c){b=="accept"&&(this.accept=a.isFunction(c)?c:function(a){return a.is(c)}),a.Widget.prototype._setOption.apply(this,arguments)},_activate:function(b){var c=a.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),c&&this._trigger("activate",b,this.ui(c))},_deactivate:function(b){var c=a.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),c&&this._trigger("deactivate",b,this.ui(c))},_over:function(b){var c=a.ui.ddmanager.current;!!c&&(c.currentItem||c.element)[0]!=this.element[0]&&this.accept.call(this.element[0],c.currentItem||c.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",b,this.ui(c)))},_out:function(b){var c=a.ui.ddmanager.current;!!c&&(c.currentItem||c.element)[0]!=this.element
-[0]&&this.accept.call(this.element[0],c.currentItem||c.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",b,this.ui(c)))},_drop:function(b,c){var d=c||a.ui.ddmanager.current;if(!d||(d.currentItem||d.element)[0]==this.element[0])return!1;var e=!1;this.element.find(":data(droppable)").not(".ui-draggable-dragging").each(function(){var b=a.data(this,"droppable");if(b.options.greedy&&!b.options.disabled&&b.options.scope==d.options.scope&&b.accept.call(b.element[0],d.currentItem||d.element)&&a.ui.intersect(d,a.extend(b,{offset:b.element.offset()}),b.options.tolerance)){e=!0;return!1}});if(e)return!1;if(this.accept.call(this.element[0],d.currentItem||d.element)){this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",b,this.ui(d));return this.element}return!1},ui:function(a){return{draggable:a.currentItem||a.element,helper:a.helper,position:a.position,offset:a.positionAbs}}}),a.ui.intersect=function(b,c,d){if(!c.offset)return!1;var e=(b.positionAbs||b.position.absolute).left,f=e+b.helperProportions.width,g=(b.positionAbs||b.position.absolute).top,h=g+b.helperProportions.height,i=c.offset.left,j=i+c.proportions.width,k=c.offset.top,l=k+c.proportions.height;switch(d){case"fit":return i<=e&&f<=j&&k<=g&&h<=l;case"intersect":return i<e+b.helperProportions.width/2&&f-b.helperProportions.width/2<j&&k<g+b.helperProportions.height/2&&h-b.helperProportions.height/2<l;case"pointer":var m=(b.positionAbs||b.position.absolute).left+(b.clickOffset||b.offset.click).left,n=(b.positionAbs||b.position.absolute).top+(b.clickOffset||b.offset.click).top,o=a.ui.isOver(n,m,k,i,c.proportions.height,c.proportions.width);return o;case"touch":return(g>=k&&g<=l||h>=k&&h<=l||g<k&&h>l)&&(e>=i&&e<=j||f>=i&&f<=j||e<i&&f>j);default:return!1}},a.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(b,c){var d=a.ui.ddmanager.droppables[b.options.scope]||[],e=c?c.type:null,f=(b.currentItem||b.element).find(":data(droppable)").andSelf();droppablesLoop:for(var g=0;g<d.length;g++){if(d[g].options.disabled||b&&!d[g].accept.call(d[g].element[0],b.currentItem||b.element))continue;for(var h=0;h<f.length;h++)if(f[h]==d[g].element[0]){d[g].proportions.height=0;continue droppablesLoop}d[g].visible=d[g].element.css("display")!="none";if(!d[g].visible)continue;e=="mousedown"&&d[g]._activate.call(d[g],c),d[g].offset=d[g].element.offset(),d[g].proportions={width:d[g].element[0].offsetWidth,height:d[g].element[0].offsetHeight}}},drop:function(b,c){var d=!1;a.each(a.ui.ddmanager.droppables[b.options.scope]||[],function(){!this.options||(!this.options.disabled&&this.visible&&a.ui.intersect(b,this,this.options.tolerance)&&(d=this._drop.call(this,c)||d),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],b.currentItem||b.element)&&(this.isout=1,this.isover=0,this._deactivate.call(this,c)))});return d},dragStart:function(b,c){b.element.parentsUntil("body").bind("scroll.droppable",function(){b.options.refreshPositions||a.ui.ddmanager.prepareOffsets(b,c)})},drag:function(b,c){b.options.refreshPositions&&a.ui.ddmanager.prepareOffsets(b,c),a.each(a.ui.ddmanager.droppables[b.options.scope]||[],function(){if(!(this.options.disabled||this.greedyChild||!this.visible)){var d=a.ui.intersect(b,this,this.options.tolerance),e=!d&&this.isover==1?"isout":d&&this.isover==0?"isover":null;if(!e)return;var f;if(this.options.greedy){var g=this.element.parents(":data(droppable):eq(0)");g.length&&(f=a.data(g[0],"droppable"),f.greedyChild=e=="isover"?1:0)}f&&e=="isover"&&(f.isover=0,f.isout=1,f._out.call(f,c)),this[e]=1,this[e=="isout"?"isover":"isout"]=0,this[e=="isover"?"_over":"_out"].call(this,c),f&&e=="isout"&&(f.isout=0,f.isover=1,f._over.call(f,c))}})},dragStop:function(b,c){b.element.parentsUntil("body").unbind("scroll.droppable"),b.options.refreshPositions||a.ui.ddmanager.prepareOffsets(b,c)}}}(jQuery),function(a,b){a.widget("ui.resizable",a.ui.mouse,{version:"@VERSION",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:1e3},_create:function(){var b=this,c=this.options;this.element.addClass("ui-resizable"),a.extend(this,{_aspectRatio:!!c.aspectRatio,aspectRatio:c.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:c.helper||c.ghost||c.animate?c.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/canvas|textarea|input|select|button|img/i)&&(/relative/.test(this.element.css("position"))&&a.browser.opera&&this.element.css({position:"relative",top:"auto",left:"auto"}),this.element.wrap(a('<div class="ui-wrapper" style="overflow: hidden;"></div>').css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("resizable",this.element.data("resizable")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=c.handles||(a(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se");if(this.handles.constructor==String){this.handles=="all"&&(this.handles="n,e,s,w,se,sw,ne,nw");var d=this.handles.split(",");this.handles={};for(var e=0;e<d.length;e++){var f=a.trim(d[e]),g="ui-resizable-"+f,h=a('<div class="ui-resizable-handle '+g+'"></div>');/sw|se|ne|nw/.test(f)&&h.css({zIndex:++c.zIndex}),"se"==f&&h.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[f]=".ui-resizable-"+f,this.element.append(h)}}this._renderAxis=function(b){b=b||this.element;for(var c in this.handles){this.handles[c].constructor==String&&(this.handles[c]=a(this.handles[c],this.element).show());if(this.elementIsWrapper&&this.originalElement[0].nodeName.match(/textarea|input|select|button/i)){var d=a(this.handles[c],this.element),e=0;e=/sw|ne|nw|se|n|s/.test(c)?d.outerHeight():d.outerWidth();var f=["padding",/ne|nw|n/.test(c)?"Top":/se|sw|s/.test(c)?"Bottom":/^e$/.test(c)?"Right":"Left"].join("");b.css(f,e),this._proportionallyResize()}if(!a(this.handles[c]).length)continue}},this._renderAxis(this.element),this._handles=a(".ui-resizable-handle",this.element).disableSelection(),this._handles.mouseover(function(){if(!b.resizing){if(this.className)var a=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i);b.axis=a&&a[1]?a[1]:"se"}}),c.autoHide&&(this._handles.hide(),a(this.element).addClass("ui-resizable-autohide").hover(function(){c.disabled||(a(this).removeClass("ui-resizable-autohide"),b._handles.show())},function(){c.disabled||b.resizing||(a(this).addClass("ui-resizable-autohide"),b._handles.hide())})),this._mouseInit()},destroy:function(){this._mouseDestroy();var b=function(b){a(b).removeClass("ui-resizable ui-resizable-disabled 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d=a(this).data("resizable"),e=d.options,f=d.position,g=d.containerOffset,h=d.containerPosition,i=d.containerElement,j=a(d.helper),k=j.offset(),l=j.outerWidth()-d.sizeDiff.width,m=j.outerHeight()-d.sizeDiff.height;d._helper&&!e.animate&&/relative/.test(i.css("position"))&&a(this).css({left:k.left-h.left-g.left,width:l,height:m}),d._helper&&!e.animate&&/static/.test(i.css("position"))&&a(this).css({left:k.left-h.left-g.left,width:l,height:m})}}),a.ui.plugin.add("resizable","ghost",{start:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.size;d.ghost=d.originalElement.clone(),d.ghost.css({opacity:.25,display:"block",position:"relative",height:f.height,width:f.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass(typeof e.ghost=="string"?e.ghost:""),d.ghost.appendTo(d.helper)},resize:function(b,c){var d=a(this).data("resizable"),e=d.options;d.ghost&&d.ghost.css({position:"relative",height:d.size.height,width:d.size.width})},stop:function(b,c){var d=a(this).data("resizable"),e=d.options;d.ghost&&d.helper&&d.helper.get(0).removeChild(d.ghost.get(0))}}),a.ui.plugin.add("resizable","grid",{resize:function(b,c){var d=a(this).data("resizable"),e=d.options,f=d.size,g=d.originalSize,h=d.originalPosition,i=d.axis,j=e._aspectRatio||b.shiftKey;e.grid=typeof e.grid=="number"?[e.grid,e.grid]:e.grid;var k=Math.round((f.width-g.width)/(e.grid[0]||1))*(e.grid[0]||1),l=Math.round((f.height-g.height)/(e.grid[1]||1))*(e.grid[1]||1);/^(se|s|e)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l):/^(ne)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l,d.position.top=h.top-l):/^(sw)$/.test(i)?(d.size.width=g.width+k,d.size.height=g.height+l,d.position.left=h.left-k):(d.size.width=g.width+k,d.size.height=g.height+l,d.position.top=h.top-l,d.position.left=h.left-k)}});var c=function(a){return 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e=!b.metaKey&&!b.ctrlKey||!d.$element.hasClass("ui-selected");d.$element.removeClass(e?"ui-unselecting":"ui-selected").addClass(e?"ui-selecting":"ui-unselecting"),d.unselecting=!e,d.selecting=e,d.selected=e,e?c._trigger("selecting",b,{selecting:d.element}):c._trigger("unselecting",b,{unselecting:d.element});return!1}})}},_mouseDrag:function(b){var c=this;this.dragged=!0;if(!this.options.disabled){var d=this.options,e=this.opos[0],f=this.opos[1],g=b.pageX,h=b.pageY;if(e>g){var i=g;g=e,e=i}if(f>h){var i=h;h=f,f=i}this.helper.css({left:e,top:f,width:g-e,height:h-f}),this.selectees.each(function(){var i=a.data(this,"selectable-item");if(!!i&&i.element!=c.element[0]){var j=!1;d.tolerance=="touch"?j=!(i.left>g||i.right<e||i.top>h||i.bottom<f):d.tolerance=="fit"&&(j=i.left>e&&i.right<g&&i.top>f&&i.bottom<h),j?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,c._trigger("selecting",b,{selecting:i.element}))):(i.selecting&&((b.metaKey||b.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),c._trigger("unselecting",b,{unselecting:i.element}))),i.selected&&!b.metaKey&&!b.ctrlKey&&!i.startselected&&(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,c._trigger("unselecting",b,{unselecting:i.element})))}});return!1}},_mouseStop:function(b){var c=this;this.dragged=!1;var d=this.options;a(".ui-unselecting",this.element[0]).each(function(){var d=a.data(this,"selectable-item");d.$element.removeClass("ui-unselecting"),d.unselecting=!1,d.startselected=!1,c._trigger("unselected",b,{unselected:d.element})}),a(".ui-selecting",this.element[0]).each(function(){var d=a.data(this,"selectable-item");d.$element.removeClass("ui-selecting").addClass("ui-selected"),d.selecting=!1,d.selected=!0,d.startselected=!0,c._trigger("selected",b,{selected:d.element})}),this._trigger("stop",b),this.helper.remove();return!1}})}(jQuery),function(a,b){a.widget("ui.sortable",a.ui.mouse,{version:"@VERSION",widgetEventPrefix:"sort",options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3},_create:function(){var a=this.options;this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.floating=this.items.length?a.axis==="x"||/left|right/.test(this.items[0].item.css("float"))||/inline|table-cell/.test(this.items[0].item.css("display")):!1,this.offset=this.element.offset(),this._mouseInit()},destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled"),this._mouseDestroy();for(var a=this.items.length-1;a>=0;a--)this.items[a].item.removeData(this.widgetName+"-item");return this},_setOption:function(b,c){b==="disabled"?(this.options[b]=c,this.widget().toggleClass("ui-sortable-disabled",!!c)):a.Widget.prototype._setOption.apply(this,arguments)},_mouseCapture:function(b,c){var d=this;if(this.reverting)return!1;if(this.options.disabled||this.options.type=="static")return!1;this._refreshItems(b);var e=null,f=this,g=a(b.target).parents().each(function(){if(a.data(this,d.widgetName+"-item")==f){e=a(this);return!1}});a.data(b.target,d.widgetName+"-item")==f&&(e=a(b.target));if(!e)return!1;if(this.options.handle&&!c){var h=!1;a(this.options.handle,e).find("*").andSelf().each(function(){this==b.target&&(h=!0)});if(!h)return!1}this.currentItem=e,this._removeCurrentsFromItems();return!0},_mouseStart:function(b,c,d){var e=this.options,f=this;this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(b),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),a.extend(this.offset,{click:{left:b.pageX-this.offset.left,top:b.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.originalPosition=this._generatePosition(b),this.originalPageX=b.pageX,this.originalPageY=b.pageY,e.cursorAt&&this._adjustOffsetFromHelper(e.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!=this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),e.containment&&this._setContainment(),e.cursor&&(a("body").css("cursor")&&(this._storedCursor=a("body").css("cursor")),a("body").css("cursor",e.cursor)),e.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",e.opacity)),e.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",e.zIndex)),this.scrollParent[0]!=document&&this.scrollParent[0].tagName!="HTML"&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",b,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions();if(!d)for(var g=this.containers.length-1;g>=0;g--)this.containers[g]._trigger("activate",b,f._uiHash(this));a.ui.ddmanager&&(a.ui.ddmanager.current=this),a.ui.ddmanager&&!e.dropBehaviour&&a.ui.ddmanager.prepareOffsets(this,b),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(b);return!0},_mouseDrag:function(b){this.position=this._generatePosition(b),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs);if(this.options.scroll){var c=this.options,d=!1;this.scrollParent[0]!=document&&this.scrollParent[0].tagName!="HTML"?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-b.pageY<c.scrollSensitivity?this.scrollParent[0].scrollTop=d=this.scrollParent[0].scrollTop+c.scrollSpeed:b.pageY-this.overflowOffset.top<c.scrollSensitivity&&(this.scrollParent[0].scrollTop=d=this.scrollParent[0].scrollTop-c.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-b.pageX<c.scrollSensitivity?this.scrollParent[0].scrollLeft=d=this.scrollParent[0].scrollLeft+c.scrollSpeed:b.pageX-this.overflowOffset.left<c.scrollSensitivity&&(this.scrollParent[0].scrollLeft=d=this.scrollParent[0].scrollLeft-c.scrollSpeed)):(b.pageY-a(document).scrollTop()<c.scrollSensitivity?d=a(document).scrollTop(a(document).scrollTop()-c.scrollSpeed):a(window).height()-(b.pageY-a(document).scrollTop())<c.scrollSensitivity&&(d=a(document).scrollTop(a(document).scrollTop()+c.scrollSpeed)),b.pageX-a(document).scrollLeft()<c.scrollSensitivity?d=a(document).scrollLeft(a(document).scrollLeft()-c.scrollSpeed):a(window).width()-(b.pageX-a(document).scrollLeft())<c.scrollSensitivity&&(d=a(document).scrollLeft(a(document).scrollLeft()+c.scrollSpeed))),d!==!1&&a.ui.ddmanager&&!c.dropBehaviour&&a.ui.ddmanager.prepareOffsets(this,b)}this.positionAbs=this._convertPositionTo("absolute");if(!this.options.axis||this.options.axis!="y")this.helper[0].style.left=this.position.left+"px";if(!this.options.axis||this.options.axis!="x")this.helper[0].style.top=this.position.top+"px";for(var e=this.items.length-1;e>=0;e--){var f=this.items[e],g=f.item[0],h=this._intersectsWithPointer(f);if(!h)continue;if(g!=this.currentItem[0]&&this.placeholder[h==1?"next":"prev"]()[0]!=g&&!a.contains(this.placeholder[0],g)&&(this.options.type=="semi-dynamic"?!a.contains(this.element[0],g):!0)){this.direction=h==1?"down":"up";if(this.options.tolerance=="pointer"||this._intersectsWithSides(f))this._rearrange(b,f);else break;this._trigger("change",b,this._uiHash());break}}this._contactContainers(b),a.ui.ddmanager&&a.ui.ddmanager.drag(this,b),this._trigger("sort",b,this._uiHash()),this.lastPositionAbs=this.positionAbs;return!1},_mouseStop:function(b,c){if(!!b){a.ui.ddmanager&&!this.options.dropBehaviour&&a.ui.ddmanager.drop(this,b);if(this.options.revert){var d=this,e=d.placeholder.offset();d.reverting=!0,a(this.helper).animate({left:e.left-this.offset.parent.left-d.margins.left+(this.offsetParent[0]==document.body?0:this.offsetParent[0].scrollLeft),top:e.top-this.offset.parent.top-d.margins.top+(this.offsetParent[0]==document.body?0:this.offsetParent[0].scrollTop)},parseInt(this.options.revert,10)||500,function(){d._clear(b)})}else this._clear(b,c);return!1}},cancel:function(){var b=this;if(this.dragging){this._mouseUp({target:null}),this.options.helper=="original"?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var c=this.containers.length-1;c>=0;c--)this.containers[c]._trigger("deactivate",null,b._uiHash(this)),this.containers[c].containerCache.over&&(this.containers[c]._trigger("out",null,b._uiHash(this)),this.containers
-[c].containerCache.over=0)}this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.options.helper!="original"&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),a.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?a(this.domPosition.prev).after(this.currentItem):a(this.domPosition.parent).prepend(this.currentItem));return this},serialize:function(b){var c=this._getItemsAsjQuery(b&&b.connected),d=[];b=b||{},a(c).each(function(){var c=(a(b.item||this).attr(b.attribute||"id")||"").match(b.expression||/(.+)[-=_](.+)/);c&&d.push((b.key||c[1]+"[]")+"="+(b.key&&b.expression?c[1]:c[2]))}),!d.length&&b.key&&d.push(b.key+"=");return d.join("&")},toArray:function(b){var c=this._getItemsAsjQuery(b&&b.connected),d=[];b=b||{},c.each(function(){d.push(a(b.item||this).attr(b.attribute||"id")||"")});return d},_intersectsWith:function(a){var b=this.positionAbs.left,c=b+this.helperProportions.width,d=this.positionAbs.top,e=d+this.helperProportions.height,f=a.left,g=f+a.width,h=a.top,i=h+a.height,j=this.offset.click.top,k=this.offset.click.left,l=d+j>h&&d+j<i&&b+k>f&&b+k<g;return this.options.tolerance=="pointer"||this.options.forcePointerForContainers||this.options.tolerance!="pointer"&&this.helperProportions[this.floating?"width":"height"]>a[this.floating?"width":"height"]?l:f<b+this.helperProportions.width/2&&c-this.helperProportions.width/2<g&&h<d+this.helperProportions.height/2&&e-this.helperProportions.height/2<i},_intersectsWithPointer:function(b){var c=a.ui.isOverAxis(this.positionAbs.top+this.offset.click.top,b.top,b.height),d=a.ui.isOverAxis(this.positionAbs.left+this.offset.click.left,b.left,b.width),e=c&&d,f=this._getDragVerticalDirection(),g=this._getDragHorizontalDirection();if(!e)return!1;return this.floating?g&&g=="right"||f=="down"?2:1:f&&(f=="down"?2:1)},_intersectsWithSides:function(b){var c=a.ui.isOverAxis(this.positionAbs.top+this.offset.click.top,b.top+b.height/2,b.height),d=a.ui.isOverAxis(this.positionAbs.left+this.offset.click.left,b.left+b.width/2,b.width),e=this._getDragVerticalDirection(),f=this._getDragHorizontalDirection();return this.floating&&f?f=="right"&&d||f=="left"&&!d:e&&(e=="down"&&c||e=="up"&&!c)},_getDragVerticalDirection:function(){var a=this.positionAbs.top-this.lastPositionAbs.top;return a!=0&&(a>0?"down":"up")},_getDragHorizontalDirection:function(){var a=this.positionAbs.left-this.lastPositionAbs.left;return a!=0&&(a>0?"right":"left")},refresh:function(a){this._refreshItems(a),this.refreshPositions();return this},_connectWith:function(){var a=this.options;return a.connectWith.constructor==String?[a.connectWith]:a.connectWith},_getItemsAsjQuery:function(b){var c=this,d=[],e=[],f=this._connectWith();if(f&&b)for(var g=f.length-1;g>=0;g--){var h=a(f[g]);for(var i=h.length-1;i>=0;i--){var j=a.data(h[i],this.widgetName);j&&j!=this&&!j.options.disabled&&e.push([a.isFunction(j.options.items)?j.options.items.call(j.element):a(j.options.items,j.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),j])}}e.push([a.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):a(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]);for(var g=e.length-1;g>=0;g--)e[g][0].each(function(){d.push(this)});return a(d)},_removeCurrentsFromItems:function(){var a=this.currentItem.find(":data("+this.widgetName+"-item)");for(var b=0;b<this.items.length;b++)for(var c=0;c<a.length;c++)a[c]==this.items[b].item[0]&&this.items.splice(b,1)},_refreshItems:function(b){this.items=[],this.containers=[this];var c=this.items,d=this,e=[[a.isFunction(this.options.items)?this.options.items.call(this.element[0],b,{item:this.currentItem}):a(this.options.items,this.element),this]],f=this._connectWith();if(f)for(var g=f.length-1;g>=0;g--){var h=a(f[g]);for(var i=h.length-1;i>=0;i--){var j=a.data(h[i],this.widgetName);j&&j!=this&&!j.options.disabled&&(e.push([a.isFunction(j.options.items)?j.options.items.call(j.element[0],b,{item:this.currentItem}):a(j.options.items,j.element),j]),this.containers.push(j))}}for(var g=e.length-1;g>=0;g--){var k=e[g][1],l=e[g][0];for(var i=0,m=l.length;i<m;i++){var n=a(l[i]);n.data(this.widgetName+"-item",k),c.push({item:n,instance:k,width:0,height:0,left:0,top:0})}}},refreshPositions:function(b){this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());for(var c=this.items.length-1;c>=0;c--){var d=this.items[c];if(d.instance!=this.currentContainer&&this.currentContainer&&d.item[0]!=this.currentItem[0])continue;var e=this.options.toleranceElement?a(this.options.toleranceElement,d.item):d.item;b||(d.width=e.outerWidth(),d.height=e.outerHeight());var f=e.offset();d.left=f.left,d.top=f.top}if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(var c=this.containers.length-1;c>=0;c--){var f=this.containers[c].element.offset();this.containers[c].containerCache.left=f.left,this.containers[c].containerCache.top=f.top,this.containers[c].containerCache.width=this.containers[c].element.outerWidth(),this.containers[c].containerCache.height=this.containers[c].element.outerHeight()}return this},_createPlaceholder:function(b){var c=b||this,d=c.options;if(!d.placeholder||d.placeholder.constructor==String){var e=d.placeholder;d.placeholder={element:function(){var b=a(document.createElement(c.currentItem[0].nodeName)).addClass(e||c.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper")[0];e||(b.style.visibility="hidden");return b},update:function(a,b){if(!e||!!d.forcePlaceholderSize)b.height()||b.height(c.currentItem.innerHeight()-parseInt(c.currentItem.css("paddingTop")||0,10)-parseInt(c.currentItem.css("paddingBottom")||0,10)),b.width()||b.width(c.currentItem.innerWidth()-parseInt(c.currentItem.css("paddingLeft")||0,10)-parseInt(c.currentItem.css("paddingRight")||0,10))}}}c.placeholder=a(d.placeholder.element.call(c.element,c.currentItem)),c.currentItem.after(c.placeholder),d.placeholder.update(c,c.placeholder)},_contactContainers:function(b){var c=null,d=null;for(var e=this.containers.length-1;e>=0;e--){if(a.contains(this.currentItem[0],this.containers[e].element[0]))continue;if(this._intersectsWith(this.containers[e].containerCache)){if(c&&a.contains(this.containers[e].element[0],c.element[0]))continue;c=this.containers[e],d=e}else this.containers[e].containerCache.over&&(this.containers[e]._trigger("out",b,this._uiHash(this)),this.containers[e].containerCache.over=0)}if(!!c)if(this.containers.length===1)this.containers[d]._trigger("over",b,this._uiHash(this)),this.containers[d].containerCache.over=1;else if(this.currentContainer!=this.containers[d]){var f=1e4,g=null,h=this.positionAbs[this.containers[d].floating?"left":"top"];for(var i=this.items.length-1;i>=0;i--){if(!a.contains(this.containers[d].element[0],this.items[i].item[0]))continue;var j=this.items[i][this.containers[d].floating?"left":"top"];Math.abs(j-h)<f&&(f=Math.abs(j-h),g=this.items[i])}if(!g&&!this.options.dropOnEmpty)return;this.currentContainer=this.containers[d],g?this._rearrange(b,g,null,!0):this._rearrange(b,null,this.containers[d].element,!0),this._trigger("change",b,this._uiHash()),this.containers[d]._trigger("change",b,this._uiHash(this)),this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[d]._trigger("over",b,this._uiHash(this)),this.containers[d].containerCache.over=1}},_createHelper:function(b){var c=this.options,d=a.isFunction(c.helper)?a(c.helper.apply(this.element[0],[b,this.currentItem])):c.helper=="clone"?this.currentItem.clone():this.currentItem;d.parents("body").length||a(c.appendTo!="parent"?c.appendTo:this.currentItem[0].parentNode)[0].appendChild(d[0]),d[0]==this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(d[0].style.width==""||c.forceHelperSize)&&d.width(this.currentItem.width()),(d[0].style.height==""||c.forceHelperSize)&&d.height(this.currentItem.height());return d},_adjustOffsetFromHelper:function(b){typeof b=="string"&&(b=b.split(" ")),a.isArray(b)&&(b={left:+b[0],top:+b[1]||0}),"left"in b&&(this.offset.click.left=b.left+this.margins.left),"right"in b&&(this.offset.click.left=this.helperProportions.width-b.right+this.margins.left),"top"in b&&(this.offset.click.top=b.top+this.margins.top),"bottom"in b&&(this.offset.click.top=this.helperProportions.height-b.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var b=this.offsetParent.offset();this.cssPosition=="absolute"&&this.scrollParent[0]!=document&&a.contains(this.scrollParent[0],this.offsetParent[0])&&(b.left+=this.scrollParent.scrollLeft(),b.top+=this.scrollParent.scrollTop());if(this.offsetParent[0]==document.body||this.offsetParent[0].tagName&&this.offsetParent[0].tagName.toLowerCase()=="html"&&a.browser.msie)b={top:0,left:0};return{top:b.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:b.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if(this.cssPosition=="relative"){var a=this.currentItem.position();return{top:a.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:a.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var b=this.options;b.containment=="parent"&&(b.containment=this.helper[0].parentNode);if(b.containment=="document"||b.containment=="window")this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,a(b.containment=="document"?document:window).width()-this.helperProportions.width-this.margins.left,(a(b.containment=="document"?document:window).height()||document.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top];if(!/^(document|window|parent)$/.test(b.containment)){var c=a(b.containment)[0],d=a(b.containment).offset(),e=a(c).css("overflow")!="hidden";this.containment=[d.left+(parseInt(a(c).css("borderLeftWidth"),10)||0)+(parseInt(a(c).css("paddingLeft"),10)||0)-this.margins.left,d.top+(parseInt(a(c).css("borderTopWidth"),10)||0)+(parseInt(a(c).css("paddingTop"),10)||0)-this.margins.top,d.left+(e?Math.max(c.scrollWidth,c.offsetWidth):c.offsetWidth)-(parseInt(a(c).css("borderLeftWidth"),10)||0)-(parseInt(a(c).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,d.top+(e?Math.max(c.scrollHeight,c.offsetHeight):c.offsetHeight)-(parseInt(a(c).css("borderTopWidth"),10)||0)-(parseInt(a(c).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top]}},_convertPositionTo:function(b,c){c||(c=this.position);var d=b=="absolute"?1:-1,e=this.options,f=this.cssPosition=="absolute"&&(this.scrollParent[0]==document||!a.contains(this.scrollParent[0],this.offsetParent[0]))?this.offsetParent:this.scrollParent,g=/(html|body)/i.test(f[0].tagName);return{top:c.top+this.offset.relative.top*d+this.offset.parent.top*d-(a.browser.safari&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollTop():g?0:f.scrollTop())*d),left:c.left+this.offset.relative.left*d+this.offset.parent.left*d-(a.browser.safari&&this.cssPosition=="fixed"?0:(this.cssPosition=="fixed"?-this.scrollParent.scrollLeft():g?0:f.scrollLeft())*d)}},_generatePosition:function(b){var 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d=b.toShow.css("overflow"),e=b.toHide.css("overflow"),f=0,g={},h={},i=["height","paddingTop","paddingBottom"],j;b=a.extend({easing:"swing",duration:300},b,c),b.widget.lastToggle=b;if(!b.toHide.size())j=b.toShow[0].style.width,b.toShow.show().width(b.toShow.width()).hide().animate({height:"show",paddingTop:"show",paddingBottom:"show"},{duration:b.duration,easing:b.easing,complete:function(){b.toShow.width(j),b.complete()}});else{if(!b.toShow.size()){b.toHide.animate({height:"hide",paddingTop:"hide",paddingBottom:"hide"},b);return}var k=b.toShow;j=k[0].style.width,k.width(k.parent().width()-parseFloat(k.css("paddingLeft"))-parseFloat(k.css("paddingRight"))-(parseFloat(k.css("borderLeftWidth"))||0)-(parseFloat(k.css("borderRightWidth"))||0)),a.each(i,function(c,d){h[d]="hide";var e=(""+a.css(b.toShow[0],d)).match(/^([\d+-.]+)(.*)$/),f=d==="height"&&e[1]==="0"?1:e[1];g[d]={value:f,unit:e[2]||"px"}}),b.toShow.css({height:0,overflow:"hidden"}).show(),b.toHide.filter(":hidden").each(b.complete).end().filter(":visible").animate(h,{step:function(a,c){if(c.prop=="height"||c.prop=="paddingTop"||c.prop=="paddingBottom")f=c.end-c.start===0?0:(c.now-c.start)/(c.end-c.start);b.toShow[0].style[c.prop]=f*g[c.prop].value+g[c.prop].unit},duration:b.duration,easing:b.easing,complete:function(){b.toShow.css({width:j,overflow:d}),b.toHide.css("overflow",e),b.complete()}})}},bounceslide:function(a){this.slide(a,{easing:a.down?"easeOutBounce":"swing",duration:a.down?1e3:200})}}}),a.uiBackCompat!==!1&&(function(a,b){a.extend(b.options,{navigation:!1,navigationFilter:function(){return this.href.toLowerCase()===location.href.toLowerCase()}});var c=b._create;b._create=function(){if(this.options.navigation){var b=this,d=this.element.find(this.options.header),e=d.next(),f=d.add(e).find("a").filter(this.options.navigationFilter)[0];f&&d.add(e).each(function(c){if(a.contains(this,f)){b.options.active=Math.floor(c/2);return!1}})}c.call(this)}}(jQuery,jQuery.ui.accordion.prototype),function(a,b){a.extend(b.options,{heightStyle:null,autoHeight:!0,clearStyle:!1,fillSpace:!1});var c=b._create,d=b._setOption;a.extend(b,{_create:function(){this.options.heightStyle=this.options.heightStyle||this._mergeHeightStyle(),c.call(this)},_setOption:function(a,b){if(a==="autoHeight"||a==="clearStyle"||a==="fillSpace")this.options.heightStyle=this._mergeHeightStyle();d.apply(this,arguments)},_mergeHeightStyle:function(){var a=this.options;if(a.fillSpace)return"fill";if(a.clearStyle)return"content";if(a.autoHeight)return"auto"}})}(jQuery,jQuery.ui.accordion.prototype),function(a,b){a.extend(b.options.icons,{activeHeader:null,headerSelected:"ui-icon-triangle-1-s"});var c=b._createIcons;b._createIcons=function(){this.options.icons&&(this.options.icons.activeHeader=this.options.icons.activeHeader||this.options.icons.headerSelected),c.call(this)}}(jQuery,jQuery.ui.accordion.prototype),function(a,b){b.activate=b._activate;var c=b._findActive;b._findActive=function(a){a===-1&&(a=!1),a&&typeof a!="number"&&(a=this.headers.index(this.headers.filter(a)),a===-1&&(a=!1));return c.call(this,a)}}(jQuery,jQuery.ui.accordion.prototype),jQuery.ui.accordion.prototype.resize=jQuery.ui.accordion.prototype.refresh,function(a,b){a.extend(b.options,{change:null,changestart:null});var c=b._trigger;b._trigger=function(a,b,d){var e=c.apply(this,arguments);if(!e)return!1;a==="beforeActivate"?e=c.call(this,"changestart",b,d):a==="activate"&&(e=c.call(this,"change",b,d));return e}}(jQuery,jQuery.ui.accordion.prototype))}(jQuery),function(a,b){var c=0;a.widget("ui.autocomplete",{version:"@VERSION",defaultElement:"<input>",options:{appendTo:"body",autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},pending:0,_create:function(){var b=this,c,d,e;this.isMultiLine=this.element.is("textarea,[contenteditable]"),this.valueMethod=this.element[this.element.is("input,textarea")?"val":"text"],this.element.addClass("ui-autocomplete-input").attr("autocomplete","off").attr({role:"textbox","aria-autocomplete":"list","aria-haspopup":"true"}).bind("keydown.autocomplete",function(f){if(b.options.disabled||b.element.prop("readOnly"))c=!0,e=!0,d=!0;else{c=!1,e=!1,d=!1;var g=a.ui.keyCode;switch(f.keyCode){case g.PAGE_UP:c=!0,b._move("previousPage",f);break;case g.PAGE_DOWN:c=!0,b._move("nextPage",f);break;case g.UP:c=!0,b._keyEvent("previous",f);break;case g.DOWN:c=!0,b._keyEvent("next",f);break;case g.ENTER:case g.NUMPAD_ENTER:b.menu.active&&(c=!0,f.preventDefault());case g.TAB:if(!b.menu.active)return;b.menu.select(f);break;case g.ESCAPE:b.menu.element.is(":visible")&&(b._value(b.term),b.close(f));break;default:d=!0,b._searchTimeout(f)}}}).bind("keypress.autocomplete",function(e){if(c)c=!1,e.preventDefault();else{if(d)return;var f=a.ui.keyCode;switch(e.keyCode){case f.PAGE_UP:b._move("previousPage",e);break;case f.PAGE_DOWN:b._move("nextPage",e);break;case f.UP:b._keyEvent("previous",e);break;case f.DOWN:b._keyEvent("next",e)}}}).bind("input.autocomplete",function(a){e?(e=!1,a.preventDefault()):b._searchTimeout(a)}).bind("focus.autocomplete",function(){b.options.disabled||(b.selectedItem=null,b.previous=b._value())}).bind("blur.autocomplete",function(a){b.options.disabled||(clearTimeout(b.searching),b.cancelSearch=!0,b.closing=setTimeout(function(){b.close(a),b._change(a)},150))}),this._initSource(),this.response=function(){return b._response.apply(b,arguments)},this.menu=a("<ul></ul>").addClass("ui-autocomplete").appendTo(this.document.find(this.options.appendTo||"body")[0]).mousedown(function(c){var d=b.menu.element[0];a(c.target).closest(".ui-menu-item").length||setTimeout(function(){b.document.one("mousedown",function(c){c.target!==b.element[0]&&c.target!==d&&!a.contains(d,c.target)&&b.close()})},1),setTimeout(function(){clearTimeout(b.closing)},13)}).menu({input:a(),focus:function(a,c){var d=c.item.data("item.autocomplete");!1!==b._trigger("focus",a,{item:d})&&/^key/.test(a.originalEvent.type)&&b._value(d.value)},select:function(a,c){var d=c.item.data("item.autocomplete"),e=b.previous;b.element[0]!==b.document[0].activeElement&&(b.element.focus(),b.previous=e,setTimeout(function(){b.previous=e,b.selectedItem=d},1)),!1!==b._trigger("select",a,{item:d})&&b._value(d.value),b.term=b._value(),b.close(a),b.selectedItem=d}}).zIndex(this.element.zIndex()+1).hide().data("menu"),a.fn.bgiframe&&this.menu.element.bgiframe(),this._bind(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete").removeAttr("role").removeAttr("aria-autocomplete").removeAttr("aria-haspopup"),this.menu.element.remove()},_setOption:function(a,b){this._super(a,b),a==="source"&&this._initSource(),a==="appendTo"&&this.menu.element.appendTo(this.document.find(b||"body")[0]),a==="disabled"&&b&&this.xhr&&this.xhr.abort()},_initSource:function(){var b=this,d,e;a.isArray(this.options.source)?(d=this.options.source,this.source=function(b,c){c(a.ui.autocomplete.filter(d,b.term))}):typeof this.options.source=="string"?(e=this.options.source,this.source=function(d,f){b.xhr&&b.xhr.abort(),b.xhr=a.ajax({url:e,data:d,dataType:"json",autocompleteRequest:++c,success:function(a,b){this.autocompleteRequest===c&&f(a)},error:function(){this.autocompleteRequest===c&&f([])}})}):this.source=this.options.source},_searchTimeout:function(a){var b=this;clearTimeout(b.searching),b.searching=setTimeout(function(){b.term!==b._value()&&(b.selectedItem=null,b.search(null,a))},b.options.delay)},search:function(a,b){a=a!=null?a:this._value(),this.term=this._value();if(a.length<this.options.minLength)return this.close(b);clearTimeout(this.closing);if(this._trigger("search",b)!==!1)return this._search(a)},_search:function(a){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:a},this.response)},_response:function(a){a&&(a=this._normalize(a)),this._trigger("response",null,{content:a}),!this.options.disabled&&a&&a.length&&!this.cancelSearch?(this._suggest(a),this._trigger("open")):this.close(),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},close:function(a){clearTimeout(this.closing),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this._trigger("close",a))},_change:function(a){this.previous!==this._value()&&this._trigger("change",a,{item:this.selectedItem})},_normalize:function(b){if(b.length&&b[0].label&&b[0].value)return b;return a.map(b,function(b){if(typeof b=="string")return{label:b,value:b};return a.extend({label:b.label||b.value,value:b.value||b.label},b)})},_suggest:function(b){var c=this.menu.element.empty().zIndex(this.element.zIndex()+1);this._renderMenu(c,b),this.menu.blur(),this.menu.refresh(),c.show(),this._resizeMenu(),c.position(a.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(new a.Event("mouseover"))},_resizeMenu:function(){var a=this.menu.element;a.outerWidth(Math.max(a.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(b,c){var d=this;a.each(c,function(a,c){d._renderItem(b,c)})},_renderItem:function(b,c){return a("<li></li>").data("item.autocomplete",c).append(a("<a></a>").text(c.label)).appendTo(b)},_move:function(a,b){if(!this.menu.element.is(":visible"))this.search(null,b);else{if(this.menu.isFirstItem()&&/^previous/.test(a)||this.menu.isLastItem()&&/^next/.test(a)){this._value(this.term),this.menu.blur();return}this.menu[a](b)}},widget:function(){return this.menu.element},_value:function(a){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(a,b){if(!this.isMultiLine||this.menu.element.is(":visible"))this._move(a,b),b.preventDefault()}}),a.extend(a.ui.autocomplete,{escapeRegex:function(a){return a.replace(/[-[\]{}()*+?.,\\^$|#\s]/g,"\\$&")},filter:function(b,c){var d=new RegExp(a.ui.autocomplete.escapeRegex(c),"i");return a.grep(b,function(a){return d.test(a.label||a.value||a)})}})}(jQuery),function(a,b){var c,d,e,f,g="ui-button ui-widget ui-state-default ui-corner-all",h="ui-state-hover ui-state-active ",i="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",j=function(){var b=a(this).find(":ui-button");setTimeout(function(){b.button("refresh")},1)},k=function(b){var c=b.name,d=b.form,e=a([]);c&&(d?e=a(d).find("[name='"+c+"']"):e=a("[name='"+c+"']",b.ownerDocument).filter(function(){return!this.form}));return e};a.widget("ui.button",{version:"@VERSION",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset.button").bind("reset.button",j),typeof this.options.disabled!="boolean"&&(this.options.disabled=this.element.prop("disabled")),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var b=this,h=this.options,i=this.type==="checkbox"||this.type==="radio",l="ui-state-hover"+(i?"":" ui-state-active"),m="ui-state-focus";h.label===null&&(h.label=this.buttonElement.html()),this.element.is(":disabled")&&(h.disabled=!0),this.buttonElement.addClass(g).attr("role","button").bind("mouseenter.button",function(){h.disabled||(a(this).addClass("ui-state-hover"),this===c&&a(this).addClass("ui-state-active"))}).bind("mouseleave.button",function(){h.disabled||a(this).removeClass(l)}).bind("click.button",function(a){h.disabled&&(a.preventDefault(),a.stopImmediatePropagation())}),this.element.bind("focus.button",function(){b.buttonElement.addClass(m)}).bind("blur.button",function(){b.buttonElement.removeClass(m)}),i&&(this.element.bind("change.button",function(){f||b.refresh()}),this.buttonElement.bind("mousedown.button",function(a){h.disabled||(f=!1,d=a.pageX,e=a.pageY)}).bind("mouseup.button",function(a){!h.disabled&&(d!==a.pageX||e!==a.pageY)&&(f=!0)})),this.type==="checkbox"?this.buttonElement.bind("click.button",function(){if(h.disabled||f)return!1;a(this).toggleClass("ui-state-active"),b.buttonElement.attr("aria-pressed",b.element[0].checked)}):this.type==="radio"?this.buttonElement.bind("click.button",function(){if(h.disabled||f)return!1;a(this).addClass("ui-state-active"),b.buttonElement.attr("aria-pressed","true");var c=b.element[0];k(c).not(c).map(function(){return a(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown.button",function(){if(h.disabled)return!1;a(this).addClass("ui-state-active"),c=this,b.document.one("mouseup",function(){c=null})}).bind("mouseup.button",function(){if(h.disabled)return!1;a(this).removeClass("ui-state-active")}).bind("keydown.button",function(b){if(h.disabled)return!1;(b.keyCode==a.ui.keyCode.SPACE||b.keyCode==a.ui.keyCode.ENTER)&&a(this).addClass("ui-state-active")}).bind("keyup.button",function(){a(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(b){b.keyCode===a.ui.keyCode.SPACE&&a(this).click()})),this._setOption("disabled",h.disabled),this._resetButton()},_determineButtonType:function(){this.element.is(":checkbox")?this.type="checkbox":this.element.is(":radio")?this.type="radio":this.element.is("input")?this.type="input":this.type="button";if(this.type==="checkbox"||this.type==="radio"){var a=this.element.parents().last(),b="label[for='"+this.element.attr("id")+"']";this.buttonElement=a.find(b),this.buttonElement.length||(a=a.length?a.siblings():this.element.siblings(),this.buttonElement=a.filter(b),this.buttonElement.length||(this.buttonElement=a.find(b))),this.element.addClass("ui-helper-hidden-accessible");var c=this.element.is(":checked");c&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",c)}else this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(g+" "+h+" "+i).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(a,b){this._super(a,b);a==="disabled"?b?this.element.prop("disabled",!0):this.element.prop("disabled",!1):this._resetButton()},refresh:function(){var b=this.element.is(":disabled");b!==this.options.disabled&&this._setOption("disabled",b),this.type==="radio"?k(this.element[0]).each(function(){a(this).is(":checked")?a(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):a(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):this.type==="checkbox"&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if(this.type==="input")this.options.label&&this.element.val(this.options.label);else{var b=this.buttonElement.removeClass(i),c=a("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(b.empty()).text(),d=this.options.icons,e=d.primary&&d.secondary,f=[];d.primary||d.secondary?(this.options.text&&f.push("ui-button-text-icon"+(e?"s":d.primary?"-primary":"-secondary")),d.primary&&b.prepend("<span class='ui-button-icon-primary ui-icon "+d.primary+"'></span>"),d.secondary&&b.append("<span class='ui-button-icon-secondary ui-icon "+d.secondary+"'></span>"),this.options.text||(f.push(e?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||b.attr("title",c))):f.push("ui-button-text-only"),b.addClass(f.join(" "))}}}),a.ui.button.version="@VERSION",a.widget("ui.buttonset",{options:{items:":button, :submit, :reset, :checkbox, :radio, a, :data(button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(a,b){a==="disabled"&&this.buttons.button("option",a,b),this._super(a,b)},refresh:function(){var b=this.element.css("direction")==="rtl";this.buttons=this.element.find(this.options.items).filter(":ui-button").button("refresh").end().not(":ui-button").button().end().map(function(){return a(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(b?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(b?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return a(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}})}(jQuery),function($,undefined){function isArray(a){return a&&($.browser.safari&&typeof a=="object"&&a.length||a.constructor&&a.constructor.toString().match(/\Array\(\)/))}function extendRemove(a,b){$.extend(a,b);for(var c in b)if(b[c]==null||b[c]==undefined)a[c]=b[c];return a}function bindHover(a){var b="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return a.delegate(b,"mouseout",function(){$(this).removeClass("ui-state-hover"),this.className.indexOf("ui-datepicker-prev")!=-1&&$(this).removeClass("ui-datepicker-prev-hover"),this.className.indexOf("ui-datepicker-next")!=-1&&$(this).removeClass("ui-datepicker-next-hover")}).delegate(b,"mouseover",function(){$.datepicker._isDisabledDatepicker(instActive.inline?a.parent()[0]:instActive.input[0])||($(this).parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),$(this).addClass("ui-state-hover"),this.className.indexOf("ui-datepicker-prev")!=-1&&$(this).addClass("ui-datepicker-prev-hover"),this.className.indexOf("ui-datepicker-next")!=-1&&$(this).addClass("ui-datepicker-next-hover"))})}function Datepicker(){this.debug=!1,this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:""},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},$.extend(this._defaults,this.regional[""]),this.dpDiv=bindHover($('<div id="'+this._mainDivId+'" class="ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all"></div>'
-))}$.extend($.ui,{datepicker:{version:"@VERSION"}});var PROP_NAME="datepicker",dpuuid=(new Date).getTime(),instActive;$.extend(Datepicker.prototype,{markerClassName:"hasDatepicker",maxRows:4,log:function(){this.debug&&console.log.apply("",arguments)},_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(a){extendRemove(this._defaults,a||{});return this},_attachDatepicker:function(target,settings){var inlineSettings=null;for(var attrName in this._defaults){var attrValue=target.getAttribute("date:"+attrName);if(attrValue){inlineSettings=inlineSettings||{};try{inlineSettings[attrName]=eval(attrValue)}catch(err){inlineSettings[attrName]=attrValue}}}var nodeName=target.nodeName.toLowerCase(),inline=nodeName=="div"||nodeName=="span";target.id||(this.uuid+=1,target.id="dp"+this.uuid);var inst=this._newInst($(target),inline);inst.settings=$.extend({},settings||{},inlineSettings||{}),nodeName=="input"?this._connectDatepicker(target,inst):inline&&this._inlineDatepicker(target,inst)},_newInst:function(a,b){var c=a[0].id.replace(/([^A-Za-z0-9_-])/g,"\\\\$1");return{id:c,input:a,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:b,dpDiv:b?bindHover($('<div class="'+this._inlineClass+' ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all"></div>')):this.dpDiv}},_connectDatepicker:function(a,b){var c=$(a);b.append=$([]),b.trigger=$([]);c.hasClass(this.markerClassName)||(this._attachments(c,b),c.addClass(this.markerClassName).keydown(this._doKeyDown).keypress(this._doKeyPress).keyup(this._doKeyUp).bind("setData.datepicker",function(a,c,d){b.settings[c]=d}).bind("getData.datepicker",function(a,c){return this._get(b,c)}),this._autoSize(b),$.data(a,PROP_NAME,b),b.settings.disabled&&this._disableDatepicker(a))},_attachments:function(a,b){var c=this._get(b,"appendText"),d=this._get(b,"isRTL");b.append&&b.append.remove(),c&&(b.append=$('<span class="'+this._appendClass+'">'+c+"</span>"),a[d?"before":"after"](b.append)),a.unbind("focus",this._showDatepicker),b.trigger&&b.trigger.remove();var e=this._get(b,"showOn");(e=="focus"||e=="both")&&a.focus(this._showDatepicker);if(e=="button"||e=="both"){var f=this._get(b,"buttonText"),g=this._get(b,"buttonImage");b.trigger=$(this._get(b,"buttonImageOnly")?$("<img/>").addClass(this._triggerClass).attr({src:g,alt:f,title:f}):$('<button type="button"></button>').addClass(this._triggerClass).html(g==""?f:$("<img/>").attr({src:g,alt:f,title:f}))),a[d?"before":"after"](b.trigger),b.trigger.click(function(){$.datepicker._datepickerShowing&&$.datepicker._lastInput==a[0]?$.datepicker._hideDatepicker():$.datepicker._showDatepicker(a[0]);return!1})}},_autoSize:function(a){if(this._get(a,"autoSize")&&!a.inline){var b=new Date(2009,11,20),c=this._get(a,"dateFormat");if(c.match(/[DM]/)){var d=function(a){var b=0,c=0;for(var d=0;d<a.length;d++)a[d].length>b&&(b=a[d].length,c=d);return c};b.setMonth(d(this._get(a,c.match(/MM/)?"monthNames":"monthNamesShort"))),b.setDate(d(this._get(a,c.match(/DD/)?"dayNames":"dayNamesShort"))+20-b.getDay())}a.input.attr("size",this._formatDate(a,b).length)}},_inlineDatepicker:function(a,b){var c=$(a);c.hasClass(this.markerClassName)||(c.addClass(this.markerClassName).append(b.dpDiv).bind("setData.datepicker",function(a,c,d){b.settings[c]=d}).bind("getData.datepicker",function(a,c){return this._get(b,c)}),$.data(a,PROP_NAME,b),this._setDate(b,this._getDefaultDate(b),!0),this._updateDatepicker(b),this._updateAlternate(b),b.settings.disabled&&this._disableDatepicker(a),b.dpDiv.css("display","block"))},_dialogDatepicker:function(a,b,c,d,e){var f=this._dialogInst;if(!f){this.uuid+=1;var g="dp"+this.uuid;this._dialogInput=$('<input type="text" id="'+g+'" style="position: absolute; top: -100px; width: 0px; z-index: -10;"/>'),this._dialogInput.keydown(this._doKeyDown),$("body").append(this._dialogInput),f=this._dialogInst=this._newInst(this._dialogInput,!1),f.settings={},$.data(this._dialogInput[0],PROP_NAME,f)}extendRemove(f.settings,d||{}),b=b&&b.constructor==Date?this._formatDate(f,b):b,this._dialogInput.val(b),this._pos=e?e.length?e:[e.pageX,e.pageY]:null;if(!this._pos){var h=document.documentElement.clientWidth,i=document.documentElement.clientHeight,j=document.documentElement.scrollLeft||document.body.scrollLeft,k=document.documentElement.scrollTop||document.body.scrollTop;this._pos=[h/2-100+j,i/2-150+k]}this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),f.settings.onSelect=c,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),$.blockUI&&$.blockUI(this.dpDiv),$.data(this._dialogInput[0],PROP_NAME,f);return this},_destroyDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();$.removeData(a,PROP_NAME),d=="input"?(c.append.remove(),c.trigger.remove(),b.removeClass(this.markerClassName).unbind("focus",this._showDatepicker).unbind("keydown",this._doKeyDown).unbind("keypress",this._doKeyPress).unbind("keyup",this._doKeyUp)):(d=="div"||d=="span")&&b.removeClass(this.markerClassName).empty()}},_enableDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();if(d=="input")a.disabled=!1,c.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""});else if(d=="div"||d=="span"){var e=b.children("."+this._inlineClass);e.children().removeClass("ui-state-disabled"),e.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!1)}this._disabledInputs=$.map(this._disabledInputs,function(b){return b==a?null:b})}},_disableDatepicker:function(a){var b=$(a),c=$.data(a,PROP_NAME);if(!!b.hasClass(this.markerClassName)){var d=a.nodeName.toLowerCase();if(d=="input")a.disabled=!0,c.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"});else if(d=="div"||d=="span"){var e=b.children("."+this._inlineClass);e.children().addClass("ui-state-disabled"),e.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!0)}this._disabledInputs=$.map(this._disabledInputs,function(b){return b==a?null:b}),this._disabledInputs[this._disabledInputs.length]=a}},_isDisabledDatepicker:function(a){if(!a)return!1;for(var b=0;b<this._disabledInputs.length;b++)if(this._disabledInputs[b]==a)return!0;return!1},_getInst:function(a){try{return $.data(a,PROP_NAME)}catch(b){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(a,b,c){var d=this._getInst(a);if(arguments.length==2&&typeof b=="string")return b=="defaults"?$.extend({},$.datepicker._defaults):d?b=="all"?$.extend({},d.settings):this._get(d,b):null;var e=b||{};typeof b=="string"&&(e={},e[b]=c);if(d){this._curInst==d&&this._hideDatepicker();var f=this._getDateDatepicker(a,!0),g=this._getMinMaxDate(d,"min"),h=this._getMinMaxDate(d,"max");extendRemove(d.settings,e),g!==null&&e.dateFormat!==undefined&&e.minDate===undefined&&(d.settings.minDate=this._formatDate(d,g)),h!==null&&e.dateFormat!==undefined&&e.maxDate===undefined&&(d.settings.maxDate=this._formatDate(d,h)),this._attachments($(a),d),this._autoSize(d),this._setDate(d,f),this._updateAlternate(d),this._updateDatepicker(d)}},_changeDatepicker:function(a,b,c){this._optionDatepicker(a,b,c)},_refreshDatepicker:function(a){var b=this._getInst(a);b&&this._updateDatepicker(b)},_setDateDatepicker:function(a,b){var c=this._getInst(a);c&&(this._setDate(c,b),this._updateDatepicker(c),this._updateAlternate(c))},_getDateDatepicker:function(a,b){var c=this._getInst(a);c&&!c.inline&&this._setDateFromField(c,b);return c?this._getDate(c):null},_doKeyDown:function(a){var b=$.datepicker._getInst(a.target),c=!0,d=b.dpDiv.is(".ui-datepicker-rtl");b._keyEvent=!0;if($.datepicker._datepickerShowing)switch(a.keyCode){case 9:$.datepicker._hideDatepicker(),c=!1;break;case 13:var e=$("td."+$.datepicker._dayOverClass+":not(."+$.datepicker._currentClass+")",b.dpDiv);e[0]&&$.datepicker._selectDay(a.target,b.selectedMonth,b.selectedYear,e[0]);var f=$.datepicker._get(b,"onSelect");if(f){var g=$.datepicker._formatDate(b);f.apply(b.input?b.input[0]:null,[g,b])}else $.datepicker._hideDatepicker();return!1;case 27:$.datepicker._hideDatepicker();break;case 33:$.datepicker._adjustDate(a.target,a.ctrlKey?-$.datepicker._get(b,"stepBigMonths"):-$.datepicker._get(b,"stepMonths"),"M");break;case 34:$.datepicker._adjustDate(a.target,a.ctrlKey?+$.datepicker._get(b,"stepBigMonths"):+$.datepicker._get(b,"stepMonths"),"M");break;case 35:(a.ctrlKey||a.metaKey)&&$.datepicker._clearDate(a.target),c=a.ctrlKey||a.metaKey;break;case 36:(a.ctrlKey||a.metaKey)&&$.datepicker._gotoToday(a.target),c=a.ctrlKey||a.metaKey;break;case 37:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,d?1:-1,"D"),c=a.ctrlKey||a.metaKey,a.originalEvent.altKey&&$.datepicker._adjustDate(a.target,a.ctrlKey?-$.datepicker._get(b,"stepBigMonths"):-$.datepicker._get(b,"stepMonths"),"M");break;case 38:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,-7,"D"),c=a.ctrlKey||a.metaKey;break;case 39:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,d?-1:1,"D"),c=a.ctrlKey||a.metaKey,a.originalEvent.altKey&&$.datepicker._adjustDate(a.target,a.ctrlKey?+$.datepicker._get(b,"stepBigMonths"):+$.datepicker._get(b,"stepMonths"),"M");break;case 40:(a.ctrlKey||a.metaKey)&&$.datepicker._adjustDate(a.target,7,"D"),c=a.ctrlKey||a.metaKey;break;default:c=!1}else a.keyCode==36&&a.ctrlKey?$.datepicker._showDatepicker(this):c=!1;c&&(a.preventDefault(),a.stopPropagation())},_doKeyPress:function(a){var b=$.datepicker._getInst(a.target);if($.datepicker._get(b,"constrainInput")){var c=$.datepicker._possibleChars($.datepicker._get(b,"dateFormat")),d=String.fromCharCode(a.charCode==undefined?a.keyCode:a.charCode);return a.ctrlKey||a.metaKey||d<" "||!c||c.indexOf(d)>-1}},_doKeyUp:function(a){var b=$.datepicker._getInst(a.target);if(b.input.val()!=b.lastVal)try{var c=$.datepicker.parseDate($.datepicker._get(b,"dateFormat"),b.input?b.input.val():null,$.datepicker._getFormatConfig(b));c&&($.datepicker._setDateFromField(b),$.datepicker._updateAlternate(b),$.datepicker._updateDatepicker(b))}catch(a){$.datepicker.log(a)}return!0},_showDatepicker:function(a){a=a.target||a,a.nodeName.toLowerCase()!="input"&&(a=$("input",a.parentNode)[0]);if(!$.datepicker._isDisabledDatepicker(a)&&$.datepicker._lastInput!=a){var b=$.datepicker._getInst(a);$.datepicker._curInst&&$.datepicker._curInst!=b&&($.datepicker._curInst.dpDiv.stop(!0,!0),b&&$.datepicker._datepickerShowing&&$.datepicker._hideDatepicker($.datepicker._curInst.input[0]));var c=$.datepicker._get(b,"beforeShow"),d=c?c.apply(a,[a,b]):{};if(d===!1)return;extendRemove(b.settings,d),b.lastVal=null,$.datepicker._lastInput=a,$.datepicker._setDateFromField(b),$.datepicker._inDialog&&(a.value=""),$.datepicker._pos||($.datepicker._pos=$.datepicker._findPos(a),$.datepicker._pos[1]+=a.offsetHeight);var e=!1;$(a).parents().each(function(){e|=$(this).css("position")=="fixed";return!e}),e&&$.browser.opera&&($.datepicker._pos[0]-=document.documentElement.scrollLeft,$.datepicker._pos[1]-=document.documentElement.scrollTop);var f={left:$.datepicker._pos[0],top:$.datepicker._pos[1]};$.datepicker._pos=null,b.dpDiv.empty(),b.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),$.datepicker._updateDatepicker(b),f=$.datepicker._checkOffset(b,f,e),b.dpDiv.css({position:$.datepicker._inDialog&&$.blockUI?"static":e?"fixed":"absolute",display:"none",left:f.left+"px",top:f.top+"px"});if(!b.inline){var g=$.datepicker._get(b,"showAnim"),h=$.datepicker._get(b,"duration"),i=function(){var a=b.dpDiv.find("iframe.ui-datepicker-cover");if(!!a.length){var c=$.datepicker._getBorders(b.dpDiv);a.css({left:-c[0],top:-c[1],width:b.dpDiv.outerWidth(),height:b.dpDiv.outerHeight()})}};b.dpDiv.zIndex($(a).zIndex()+1),$.datepicker._datepickerShowing=!0,$.effects&&($.effects.effect[g]||$.effects[g])?b.dpDiv.show(g,$.datepicker._get(b,"showOptions"),h,i):b.dpDiv[g||"show"](g?h:null,i),(!g||!h)&&i(),b.input.is(":visible")&&!b.input.is(":disabled")&&b.input.focus(),$.datepicker._curInst=b}}},_updateDatepicker:function(a){var b=this;b.maxRows=4;var c=$.datepicker._getBorders(a.dpDiv);instActive=a,a.dpDiv.empty().append(this._generateHTML(a));var d=a.dpDiv.find("iframe.ui-datepicker-cover");!d.length||d.css({left:-c[0],top:-c[1],width:a.dpDiv.outerWidth(),height:a.dpDiv.outerHeight()}),a.dpDiv.find("."+this._dayOverClass+" a").mouseover();var e=this._getNumberOfMonths(a),f=e[1],g=17;a.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),f>1&&a.dpDiv.addClass("ui-datepicker-multi-"+f).css("width",g*f+"em"),a.dpDiv[(e[0]!=1||e[1]!=1?"add":"remove")+"Class"]("ui-datepicker-multi"),a.dpDiv[(this._get(a,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),a==$.datepicker._curInst&&$.datepicker._datepickerShowing&&a.input&&a.input.is(":visible")&&!a.input.is(":disabled")&&a.input[0]!=document.activeElement&&a.input.focus();if(a.yearshtml){var h=a.yearshtml;setTimeout(function(){h===a.yearshtml&&a.yearshtml&&a.dpDiv.find("select.ui-datepicker-year:first").replaceWith(a.yearshtml),h=a.yearshtml=null},0)}},_getBorders:function(a){var b=function(a){return{thin:1,medium:2,thick:3}[a]||a};return[parseFloat(b(a.css("border-left-width"))),parseFloat(b(a.css("border-top-width")))]},_checkOffset:function(a,b,c){var d=a.dpDiv.outerWidth(),e=a.dpDiv.outerHeight(),f=a.input?a.input.outerWidth():0,g=a.input?a.input.outerHeight():0,h=document.documentElement.clientWidth+$(document).scrollLeft(),i=document.documentElement.clientHeight+$(document).scrollTop();b.left-=this._get(a,"isRTL")?d-f:0,b.left-=c&&b.left==a.input.offset().left?$(document).scrollLeft():0,b.top-=c&&b.top==a.input.offset().top+g?$(document).scrollTop():0,b.left-=Math.min(b.left,b.left+d>h&&h>d?Math.abs(b.left+d-h):0),b.top-=Math.min(b.top,b.top+e>i&&i>e?Math.abs(e+g):0);return b},_findPos:function(a){var b=this._getInst(a),c=this._get(b,"isRTL");while(a&&(a.type=="hidden"||a.nodeType!=1||$.expr.filters.hidden(a)))a=a[c?"previousSibling":"nextSibling"];var d=$(a).offset();return[d.left,d.top]},_hideDatepicker:function(a){var b=this._curInst;if(!(!b||a&&b!=$.data(a,PROP_NAME))&&this._datepickerShowing){var c=this._get(b,"showAnim"),d=this._get(b,"duration"),e=this,f=function(){$.datepicker._tidyDialog(b),e._curInst=null};$.effects&&($.effects.effect[c]||$.effects[c])?b.dpDiv.hide(c,$.datepicker._get(b,"showOptions"),d,f):b.dpDiv[c=="slideDown"?"slideUp":c=="fadeIn"?"fadeOut":"hide"](c?d:null,f),c||f(),this._datepickerShowing=!1;var g=this._get(b,"onClose");g&&g.apply(b.input?b.input[0]:null,[b.input?b.input.val():"",b]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),$.blockUI&&($.unblockUI(),$("body").append(this.dpDiv))),this._inDialog=!1}},_tidyDialog:function(a){a.dpDiv.removeClass(this._dialogClass).unbind(".ui-datepicker-calendar")},_checkExternalClick:function(a){if(!!$.datepicker._curInst){var b=$(a.target),c=$.datepicker._getInst(b[0]);(b[0].id!=$.datepicker._mainDivId&&b.parents("#"+$.datepicker._mainDivId).length==0&&!b.hasClass($.datepicker.markerClassName)&&!b.hasClass($.datepicker._triggerClass)&&$.datepicker._datepickerShowing&&(!$.datepicker._inDialog||!$.blockUI)||b.hasClass($.datepicker.markerClassName)&&$.datepicker._curInst!=c)&&$.datepicker._hideDatepicker()}},_adjustDate:function(a,b,c){var d=$(a),e=this._getInst(d[0]);this._isDisabledDatepicker(d[0])||(this._adjustInstDate(e,b+(c=="M"?this._get(e,"showCurrentAtPos"):0),c),this._updateDatepicker(e))},_gotoToday:function(a){var b=$(a),c=this._getInst(b[0]);if(this._get(c,"gotoCurrent")&&c.currentDay)c.selectedDay=c.currentDay,c.drawMonth=c.selectedMonth=c.currentMonth,c.drawYear=c.selectedYear=c.currentYear;else{var d=new Date;c.selectedDay=d.getDate(),c.drawMonth=c.selectedMonth=d.getMonth(),c.drawYear=c.selectedYear=d.getFullYear()}this._notifyChange(c),this._adjustDate(b)},_selectMonthYear:function(a,b,c){var d=$(a),e=this._getInst(d[0]);e["selected"+(c=="M"?"Month":"Year")]=e["draw"+(c=="M"?"Month":"Year")]=parseInt(b.options[b.selectedIndex].value,10),this._notifyChange(e),this._adjustDate(d)},_selectDay:function(a,b,c,d){var e=$(a);if(!$(d).hasClass(this._unselectableClass)&&!this._isDisabledDatepicker(e[0])){var f=this._getInst(e[0]);f.selectedDay=f.currentDay=$("a",d).html(),f.selectedMonth=f.currentMonth=b,f.selectedYear=f.currentYear=c,this._selectDate(a,this._formatDate(f,f.currentDay,f.currentMonth,f.currentYear))}},_clearDate:function(a){var b=$(a),c=this._getInst(b[0]);this._selectDate(b,"")},_selectDate:function(a,b){var c=$(a),d=this._getInst(c[0]);b=b!=null?b:this._formatDate(d),d.input&&d.input.val(b),this._updateAlternate(d);var e=this._get(d,"onSelect");e?e.apply(d.input?d.input[0]:null,[b,d]):d.input&&d.input.trigger("change"),d.inline?this._updateDatepicker(d):(this._hideDatepicker(),this._lastInput=d.input[0],typeof d.input[0]!="object"&&d.input.focus(),this._lastInput=null)},_updateAlternate:function(a){var b=this._get(a,"altField");if(b){var c=this._get(a,"altFormat")||this._get(a,"dateFormat"),d=this._getDate(a),e=this.formatDate(c,d,this._getFormatConfig(a));$(b).each(function(){$(this).val(e)})}},noWeekends:function(a){var b=a.getDay();return[b>0&&b<6,""]},iso8601Week:function(a){var b=new Date(a.getTime());b.setDate(b.getDate()+4-(b.getDay()||7));var c=b.getTime();b.setMonth(0),b.setDate(1);return Math.floor(Math.round((c-b)/864e5)/7)+1},parseDate:function(a,b,c){if(a==null||b==null)throw"Invalid arguments";b=typeof b=="object"?b.toString():b+"";if(b=="")return null;var d=(c?c.shortYearCutoff:null)||this._defaults.shortYearCutoff;d=typeof d!="string"?d:(new Date).getFullYear()%100+parseInt(d,10);var e=(c?c.dayNamesShort:null)||this._defaults.dayNamesShort,f=(c?c.dayNames:null)||this._defaults.dayNames,g=(c?c.monthNamesShort:null)||this._defaults.monthNamesShort,h=(c?c.monthNames:null)||this._defaults.monthNames,i=-1,j=-1,k=-1,l=-1,m=!1,n=function(b){var c=s+1<a.length&&a.charAt(s+1)==b;c&&s++;return c},o=function(a){var c=n(a),d=a=="@"?14:a=="!"?20:a=="y"&&c?4:a=="o"?3:2,e=new RegExp("^\\d{1,"+d+"}"),f=b.substring(r).match(e);if(!f)throw"Missing number at position "+r;r+=f[0].length;return 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d._trigger("focus",c);e.zIndex>a.ui.dialog.maxZ&&(a.ui.dialog.maxZ=e.zIndex),d.overlay&&(a.ui.dialog.maxZ+=1,a.ui.dialog.overlay.maxZ=a.ui.dialog.maxZ,d.overlay.$el.css("z-index",a.ui.dialog.overlay.maxZ)),f={scrollTop:d.element.scrollTop(),scrollLeft:d.element.scrollLeft()},a.ui.dialog.maxZ+=1,d.uiDialog.css("z-index",a.ui.dialog.maxZ),d.element.attr(f),d._trigger("focus",c);return d},open:function(){if(!this._isOpen){var b=this,c=b.options,d=b.uiDialog;b._size(),b._position(c.position),d.show(c.show),b.overlay=c.modal?new a.ui.dialog.overlay(b):null,b.moveToTop(!0),c.modal&&d.bind("keydown.ui-dialog",function(b){if(b.keyCode===a.ui.keyCode.TAB){var c=a(":tabbable",this),d=c.filter(":first"),e=c.filter(":last");if(b.target===e[0]&&!b.shiftKey){d.focus(1);return!1}if(b.target===d[0]&&b.shiftKey){e.focus(1);return!1}}});var e=b.element.find(":tabbable");e.length||(e=d.find(".ui-dialog-buttonpane :tabbable"),e.length||(e=d)),e.eq(0).focus(),b._isOpen=!0,b._trigger("open");return b}},_createButtons:function(b){var c=this,d=!1;c.uiDialog.find(".ui-dialog-buttonpane").remove(),typeof b=="object"&&b!==null&&a.each(b,function(){return!(d=!0)});if(d){var e=a("<div>").addClass("ui-dialog-buttonpane  ui-widget-content ui-helper-clearfix"),f=a("<div>").addClass("ui-dialog-buttonset").appendTo(e);a.each(b,function(b,d){d=a.isFunction(d)?{click:d,text:b}:d;var e=a("<button type='button'>").attr(d,!0).unbind("click").click(function(){d.click.apply(c.element[0],arguments)}).appendTo(f);a.fn.button&&e.button()}),c.uiDialog.addClass("ui-dialog-buttons"),e.appendTo(c.uiDialog)}else c.uiDialog.removeClass("ui-dialog-buttons")},_makeDraggable:function(){function d(a){return{position:a.position,offset:a.offset}}var b=this,c=b.options;b.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(c,e){a(this).addClass("ui-dialog-dragging"),b._trigger("dragStart",c,d(e))},drag:function(a,c){b._trigger("drag",a,d(c))},stop:function(e,f){c.position=[f.position.left-b.document.scrollLeft(),f.position.top-b.document.scrollTop()],a(this).removeClass("ui-dialog-dragging"),b._trigger("dragStop",e,d(f)),a.ui.dialog.overlay.resize()}})},_makeResizable:function(c){function h(a){return{originalPosition:a.originalPosition,originalSize:a.originalSize,position:a.position,size:a.size}}c=c===b?this.options.resizable:c;var d=this,e=d.options,f=d.uiDialog.css("position"),g=typeof c=="string"?c:"n,e,s,w,se,sw,ne,nw";d.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:d.element,maxWidth:e.maxWidth,maxHeight:e.maxHeight,minWidth:e.minWidth,minHeight:d._minHeight(),handles:g,start:function(b,c){a(this).addClass("ui-dialog-resizing"),d._trigger("resizeStart",b,h(c))},resize:function(a,b){d._trigger("resize",a,h(b))},stop:function(b,c){a(this).removeClass("ui-dialog-resizing"),e.height=a(this).height(),e.width=a(this).width(),d._trigger("resizeStop",b,h(c)),a.ui.dialog.overlay.resize()}}).css("position",f).find(".ui-resizable-se").addClass("ui-icon ui-icon-grip-diagonal-se")},_minHeight:function(){var a=this.options;return a.height==="auto"?a.minHeight:Math.min(a.minHeight,a.height)},_position:function(b){var c=[],d=[0,0],e;if(b){if(typeof b=="string"||typeof b=="object"&&"0"in b)c=b.split?b.split(" "):[b[0],b[1]],c.length===1&&(c[1]=c[0]),a.each(["left","top"],function(a,b){+c[a]===c[a]&&(d[a]=c[a],c[a]=b)}),b={my:c.join(" 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h=f.is(":data(resizable)");h&&!d&&f.resizable("destroy"),h&&typeof d=="string"&&f.resizable("option","handles",d),!h&&d!==!1&&e._makeResizable(d);break;case"title":a(".ui-dialog-title",e.uiDialogTitlebar).html(""+(d||"&#160;"))}this._super(b,d)},_size:function(){var b=this.options,c,d,e=this.uiDialog.is(":visible");this.element.show().css({width:"auto",minHeight:0,height:0}),b.minWidth>b.width&&(b.width=b.minWidth),c=this.uiDialog.css({height:"auto",width:b.width}).outerHeight(),d=Math.max(0,b.minHeight-c);if(b.height==="auto")if(a.support.minHeight)this.element.css({minHeight:d,height:"auto"});else{this.uiDialog.show();var f=this.element.css("height","auto").height();e||this.uiDialog.hide(),this.element.height(Math.max(f,d))}else this.element.height(Math.max(b.height-c,0));this.uiDialog.is(":data(resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())}}),a.extend(a.ui.dialog,{uuid:0,maxZ:0,getTitleId:function(a){var b=a.attr("id");b||(this.uuid+=1,b=this.uuid);return"ui-dialog-title-"+b},overlay:function(b){this.$el=a.ui.dialog.overlay.create(b)}}),a.extend(a.ui.dialog.overlay,{instances:[],oldInstances:[],maxZ:0,events:a.map("focus,mousedown,mouseup,keydown,keypress,click".split(","),function(a){return a+".dialog-overlay"}).join(" "),create:function(b){this.instances.length===0&&(setTimeout(function(){a.ui.dialog.overlay.instances.length&&a(document).bind(a.ui.dialog.overlay.events,function(b){if(a(b.target).zIndex()<a.ui.dialog.overlay.maxZ)return!1})},1),a(document).bind("keydown.dialog-overlay",function(c){b.options.closeOnEscape&&!c.isDefaultPrevented()&&c.keyCode&&c.keyCode===a.ui.keyCode.ESCAPE&&(b.close(c),c.preventDefault())}),a(window).bind("resize.dialog-overlay",a.ui.dialog.overlay.resize));var c=this.oldInstances.pop()||a("<div>").addClass("ui-widget-overlay");c.appendTo(document.body).css({width:this.width(),height:this.height()}),a.fn.bgiframe&&c.bgiframe(),this.instances.push(c);return c},destroy:function(b){var c=a.inArray(b,this.instances);c!==-1&&this.oldInstances.push(this.instances.splice(c,1)[0]),this.instances.length===0&&a([document,window]).unbind(".dialog-overlay"),b.height(0).width(0).remove();var d=0;a.each(this.instances,function(){d=Math.max(d,this.css("z-index"))}),this.maxZ=d},height:function(){var b,c;if(a.browser.msie){b=Math.max(document.documentElement.scrollHeight,document.body.scrollHeight),c=Math.max(document.documentElement.offsetHeight,document.body.offsetHeight);return b<c?a(window).height()+"px":b+"px"}return a(document).height()+"px"},width:function(){var b,c;if(a.browser.msie){b=Math.max(document.documentElement.scrollWidth,document.body.scrollWidth),c=Math.max(document.documentElement.offsetWidth,document.body.offsetWidth);return b<c?a(window).width()+"px":b+"px"}return a(document).width()+"px"},resize:function(){var b=a([]);a.each(a.ui.dialog.overlay.instances,function(){b=b.add(this)}),b.css({width:0,height:0}).css({width:a.ui.dialog.overlay.width(),height:a.ui.dialog.overlay.height()})}}),a.extend(a.ui.dialog.overlay.prototype,{destroy:function(){a.ui.dialog.overlay.destroy(this.$el)}})}(jQuery),function(a){var b=0;a.widget("ui.menu",{version:"@VERSION",defaultElement:"<ul>",delay:300,options:{menus:"ul",position:{my:"left top",at:"right top"},trigger:null},_create:function(){this.activeMenu=this.element,this.menuId=this.element.attr("id")||"ui-menu-"+b++,this.element.find(".ui-icon").length&&this.element.addClass("ui-menu-icons"),this.element.addClass("ui-menu ui-widget ui-widget-content ui-corner-all").attr({id:this.menuId,role:"menu"}).bind("click.menu",a.proxy(function(a){this.options.disabled&&a.preventDefault()},this)),this._bind({"mousedown .ui-menu-item > a":function(a){a.preventDefault()},"click 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a.ui.keyCode.PAGE_DOWN:this.nextPage(b),b.preventDefault(),b.stopImmediatePropagation();break;case a.ui.keyCode.HOME:this._move("first","first",b),b.preventDefault(),b.stopImmediatePropagation();break;case a.ui.keyCode.END:this._move("last","last",b),b.preventDefault(),b.stopImmediatePropagation();break;case a.ui.keyCode.UP:this.previous(b),b.preventDefault(),b.stopImmediatePropagation();break;case a.ui.keyCode.DOWN:this.next(b),b.preventDefault(),b.stopImmediatePropagation();break;case a.ui.keyCode.LEFT:this.collapse(b)&&b.stopImmediatePropagation(),b.preventDefault();break;case a.ui.keyCode.RIGHT:this.expand(b)&&b.stopImmediatePropagation(),b.preventDefault();break;case a.ui.keyCode.ENTER:this.active.children("a[aria-haspopup='true']").length?this.expand(b)&&b.stopImmediatePropagation():(this.select(b),b.stopImmediatePropagation()),b.preventDefault();break;case a.ui.keyCode.ESCAPE:this.collapse(b)&&b.stopImmediatePropagation(),b.preventDefault();break;default:b.stopPropagation(),clearTimeout(this.filterTimer);var c,d=this.previousFilter||"",e=String.fromCharCode(b.keyCode),f=!1;e==d?f=!0:e=d+e;function g(a){return a.replace(/[-[\]{}()*+?.,\\^$|#\s]/g,"\\$&")}c=this.activeMenu.children(".ui-menu-item").filter(function(){return(new RegExp("^"+g(e),"i")).test(a(this).children("a").text())}),c=f&&c.index(this.active.next())!=-1?this.active.nextAll(".ui-menu-item"):c,c.length||(e=String.fromCharCode(b.keyCode),c=this.activeMenu.children(".ui-menu-item").filter(function(){return(new RegExp("^"+g(e),"i")).test(a(this).children("a").text())})),c.length?(this.focus(b,c),c.length>1?(this.previousFilter=e,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter):delete this.previousFilter}}}),this._bind(this.document,{click:function(b){a(b.target).closest(".ui-menu").length||this.collapseAll(b)}}),this.options.trigger&&this.element.popup({trigger:this.options.trigger,managed:!0,focusPopup:a.proxy(function(a,b){this.focus(a,this.element.children(".ui-menu-item").first()),this.element.focus(1)},this)})},_destroy:function(){this.options.trigger&&this.element.popup("destroy"),this.element.removeAttr("aria-activedescendant").find(".ui-menu").andSelf().removeClass("ui-menu ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").show(),this.element.find(".ui-menu-item").unbind(".menu").removeClass("ui-menu-item").removeAttr("role").children("a").removeClass("ui-corner-all ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").removeAttr("id").children(".ui-icon").remove()},refresh:function(){var b=this.element.find(this.options.menus+":not( .ui-menu )").addClass("ui-menu ui-widget ui-widget-content ui-corner-all").attr("role","menu").hide().attr("aria-hidden","true").attr("aria-expanded","false"),c=this.menuId;b.add(this.element).children(":not( .ui-menu-item ):has( a )").addClass("ui-menu-item").attr("role","presentation").children("a").addClass("ui-corner-all").attr("tabIndex",-1).attr("role","menuitem").attr("id",function(a){return c+"-"+a}),b.each(function(){var b=a(this),c=b.prev("a");c.attr("aria-haspopup","true").prepend('<span class="ui-menu-icon ui-icon ui-icon-carat-1-e"></span>'),b.attr("aria-labelledby",c.attr("id"))})},focus:function(b,c){this.blur(b);if(this._hasScroll()){var d=parseFloat(a.curCSS(this.activeMenu[0],"borderTopWidth",!0))||0,e=parseFloat(a.curCSS(this.activeMenu[0],"paddingTop",!0))||0,f=c.offset().top-this.activeMenu.offset().top-d-e,g=this.activeMenu.scrollTop(),h=this.activeMenu.height(),i=c.height();f<0?this.activeMenu.scrollTop(g+f):f+i>h&&this.activeMenu.scrollTop(g+f-h+i)}this.active=c.first().children("a").addClass("ui-state-focus").end(),this.element.attr("aria-activedescendant",this.active.children("a").attr("id")),this.active.parent().closest(".ui-menu-item").children("a:first").addClass("ui-state-active"),this.timer=this._delay(function(){this._close()},this.delay);var j=a("> .ui-menu",c);j.length&&/^mouse/.test(b.type)&&this._startOpening(j),this.activeMenu=c.parent(),this._trigger("focus",b,{item:c})},blur:function(a){clearTimeout(this.timer);!this.active||(this.active.children("a").removeClass("ui-state-focus"),this.active=null,this._trigger("blur",a,{item:this.active}))},_startOpening:function(a){clearTimeout(this.timer);a.attr("aria-hidden")==="true"&&(this.timer=this._delay(function(){this._close(),this._open(a)},this.delay))},_open:function(b){clearTimeout(this.timer),this.element.find(".ui-menu").not(b.parents()).hide().attr("aria-hidden","true");var c=a.extend({},{of:this.active},a.type(this.options.position)=="function"?this.options.position(this.active):this.options.position);b.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(c)},collapseAll:function(b,c){clearTimeout(this.timer),this.timer=this._delay(function(){var d=c?this.element:a(b&&b.target).closest(this.element.find(".ui-menu"));d.length||(d=this.element),this._close(d),this.blur(b),this.activeMenu=d},this.delay)},_close:function(a){a||(a=this.active?this.active.parent():this.element),a.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find("a.ui-state-active").removeClass("ui-state-active")},collapse:function(a){var b=this.active&&this.active.parent().closest(".ui-menu-item",this.element);if(b&&b.length){this._close(),this.focus(a,b);return!0}},expand:function(a){var b=this.active&&this.active.children(".ui-menu ").children(".ui-menu-item").first();if(b&&b.length){this._open(b.parent()),this._delay(function(){this.focus(a,b)},20);return!0}},next:function(a){this._move("next","first",a)},previous:function(a){this._move("prev","last",a)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(a,b,c){if(!this.active)this.focus(c,this.activeMenu.children(".ui-menu-item")[b]());else{var d;a==="first"||a==="last"?d=this.active[a==="first"?"prevAll":"nextAll"](".ui-menu-item").eq(-1):d=this.active[a+"All"](".ui-menu-item").eq(0),d.length?this.focus(c,d):this.focus(c,this.activeMenu.children(".ui-menu-item")[b]())}},nextPage:function(b){if(!this.active)this.focus(b,this.activeMenu.children(".ui-menu-item").first());else{if(this.isLastItem())return;if(this._hasScroll()){var c=this.active.offset().top,d=this.element.height(),e;this.active.nextAll(".ui-menu-item").each(function(){e=a(this);return a(this).offset().top-c-d<0}),this.focus(b,e)}else this.focus(b,this.activeMenu.children(".ui-menu-item")[this.active?"last":"first"]())}},previousPage:function(b){if(!this.active)this.focus(b,this.activeMenu.children(".ui-menu-item").first());else{if(this.isFirstItem())return;if(this._hasScroll()){var c=this.active.offset().top,d=this.element.height(),e;this.active.prevAll(".ui-menu-item").each(function(){e=a(this);return a(this).offset().top-c+d>0}),this.focus(b,e)}else this.focus(b,this.activeMenu.children(".ui-menu-item").first())}},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(b){var c={item:this.active};this.collapseAll(b,!0),this.options.trigger&&(a(this.options.trigger).focus(1),this.element.popup("close")),this._trigger("select",b,c)}})}(jQuery),function(a){a.widget("ui.menubar",{version:"@VERSION",options:{autoExpand:!1,buttons:!1,items:"li",menuElement:"ul",menuIcon:!1,position:{my:"left top",at:"left bottom"}},_create:function(){var b=this;this.menuItems=this.element.children(this.options.items),this.items=this.menuItems.children("button, a"),this.menuItems.addClass("ui-menubar-item").attr("role","presentation"),this.items.slice(1).attr("tabIndex",-1),this.element.addClass("ui-menubar ui-widget-header ui-helper-clearfix").attr("role","menubar"),this._focusable(this.items),this._hoverable(this.items),this.items.siblings(this.options.menuElement).menu({position:{within:this.options.position.within},select:function(c,d){d.item.parents("ul.ui-menu:last").hide(),b._close(),a(c.target).prev().focus(),b._trigger("select",c,d)},menus:b.options.menuElement}).hide().attr({"aria-hidden":"true","aria-expanded":"false"}).bind("keydown.menubar",function(c){var d=a(this);if(!d.is(":hidden"))switch(c.keyCode){case a.ui.keyCode.LEFT:b.previous(c),c.preventDefault();break;case a.ui.keyCode.RIGHT:b.next(c),c.preventDefault()}}),this.items.each(function(){var c=a(this),d=c.next(b.options.menuElement);c.bind("click.menubar focus.menubar 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c=b.tab.find("span"),d=c.html();c.html(this.options.spinner),b.jqXHR.complete(function(){c.html(d)})}}})}}),function(a,b){a.extend(b.options,{enable:null,disable:null});var c=b.enable,d=b.disable;b.enable=function(b){var d=this.options,e;if(b&&d.disabled===!0||a.isArray(d.disabled)&&a.inArray(b,d.disabled)!==-1)e=!0;c.apply(this,arguments),e&&this._trigger("enable",null,this._ui(this.anchors[b],this.panels[b]))},b.disable=function(b){var c=this.options,e;if(b&&c.disabled===!1||a.isArray(c.disabled)&&a.inArray(b,c.disabled)===-1)e=!0;d.apply(this,arguments),e&&this._trigger("disable",null,this._ui(this.anchors[b],this.panels[b]))}}(jQuery,jQuery.ui.tabs.prototype),function(a,c){a.extend(c.options,{add:null,remove:null,tabTemplate:"<li><a href='#{href}'><span>#{label}</span></a></li>"}),c.add=function(c,d,e){e===b&&(e=this.anchors.length);var f=this.options,g=a(f.tabTemplate.replace(/#\{href\}/g,c).replace(/#\{label\}/g,d)),h=c.indexOf("#")?this._tabId(g.find("a")[0]):c.replace("#","");g.addClass("ui-state-default ui-corner-top").data("destroy.tabs",!0),g.find("a").attr("aria-controls",h);var i=e>=this.lis.length,j=this.element.find("#"+h);j.length||(j=this._createPanel(h),i?e>0?j.insertAfter(this.panels.eq(-1)):j.appendTo(this.element):j.insertBefore(this.panels[e])),j.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").hide(),i?g.appendTo(this.list):g.insertBefore(this.lis[e]),f.disabled=a.map(f.disabled,function(a){return a>=e?++a:a}),this.refresh(),this.lis.length===1&&f.active===!1&&this.option("active",0),this._trigger("add",null,this._ui(this.anchors[e],this.panels[e]));return this},c.remove=function(b){b=this._getIndex(b);var c=this.options,d=this.lis.eq(b).remove(),e=this._getPanelForTab(d.find("a[aria-controls]")).remove();d.hasClass("ui-tabs-active")&&this.anchors.length>2&&this._activate(b+(b+1<this.anchors.length?1:-1)),c.disabled=a.map(a.grep(c.disabled,function(a){return a!==b}),function(a){return a>=b?--a:a}),this.refresh(),this._trigger("remove",null,this._ui(d.find("a")[0],e[0]));return this}}(jQuery,jQuery.ui.tabs.prototype),function(a,b){b.length=function(){return this.anchors.length}}(jQuery,jQuery.ui.tabs.prototype),function(a,b){a.extend(b.options,{idPrefix:"ui-tabs-"});var c=b._tabId;b._tabId=function(b){return a(b).attr("aria-controls")||b.title&&b.title.replace(/\s/g,"_").replace(/[^\w\u00c0-\uFFFF-]/g,"")||this.options.idPrefix+d()}}(jQuery,jQuery.ui.tabs.prototype),function(a,b){a.extend(b.options,{panelTemplate:"<div></div>"});var c=b._createPanel;b._createPanel=function(b){return a(this.options.panelTemplate).attr("id",b).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").data("destroy.tabs",!0)}}(jQuery,jQuery.ui.tabs.prototype),function(a,c){var d=c._create,e=c._setOption,f=c._eventHandler;c._create=function(){var a=this.options;a.active===null&&a.selected!==b&&(a.active=a.selected===-1?!1:a.selected),d.call(this),a.selected=a.active,a.selected===!1&&(a.selected=-1)},c._setOption=function(a,b){if(a!=="selected")return e.apply(this,arguments);var c=this.options;e.call(this,"active",b===-1?!1:b),c.selected=c.active,c.selected===!1&&(c.selected=-1)},c._eventHandler=function(a){f.apply(this,arguments),this.options.selected=this.options.active,this.options.selected===!1&&(this.options.selected=-1)}}(jQuery,jQuery.ui.tabs.prototype),function(a,b){a.extend(b.options,{show:null,select:null});var c=b._create,d=b._trigger;b._create=function(){c.call(this),this.options.active!==!1&&this._trigger("show",null,this._ui(this.active[0],this._getPanelForTab(this.active)[0]))},b._trigger=function(a,b,c){var e=d.apply(this,arguments);if(!e)return!1;a==="beforeActivate"&&c.newTab.length?e=d.call(this,"select",b,{tab:c.newTab[0],panel:c.newPanel[0],index:c.newTab.closest("li").index()}):a==="activate"&&c.newTab.length&&(e=d.call(this,"show",b,{tab:c.newTab[0],panel:c.newPanel[0],index:c.newTab.closest("li").index()}))}}(jQuery,jQuery.ui.tabs.prototype),function(a,b){b.select=function(a){a=this._getIndex(a);if(a===-1)if(this.options.collapsible&&this.options.selected!==-1)a=this
-.options.selected;else return;this.anchors.eq(a).trigger(this.options.event+".tabs")}}(jQuery,jQuery.ui.tabs.prototype);var f=0;function g(){return++f}a.widget("ui.tabs",a.ui.tabs,{options:{cookie:null},_create:function(){var a=this.options,b;a.active==null&&a.cookie&&(b=parseInt(this._cookie(),10),b===-1&&(b=!1),a.active=b),this._super()},_cookie:function(b){var c=[this.cookie||(this.cookie=this.options.cookie.name||"ui-tabs-"+g())];arguments.length&&(c.push(b===!1?-1:b),c.push(this.options.cookie));return a.cookie.apply(null,c)},_refresh:function(){this._super(),this.options.cookie&&this._cookie(this.options.active,this.options.cookie)},_eventHandler:function(a){this._superApply(arguments),this.options.cookie&&this._cookie(this.options.active,this.options.cookie)},_destroy:function(){this._super(),this.options.cookie&&this._cookie(null,this.options.cookie)}}),a.widget("ui.tabs",a.ui.tabs,{_trigger:function(b,c,d){var e=a.extend({},d);b==="load"&&(e.panel=e.panel[0],e.tab=e.tab[0]);return this._super(b,c,e)}})}}(jQuery),function(a){var b=0;a.widget("ui.tooltip",{version:"@VERSION",options:{content:function(){return a(this).attr("title")},hide:!0,items:"[title]",position:{my:"left+15 center",at:"right center",collision:"flipfit flipfit"},show:!0,tooltipClass:null,close:null,open:null},_create:function(){this._bind({mouseover:"open",focusin:"open"}),this.tooltips={}},_setOption:function(a,b){a==="disabled"?(this[b?"_disable":"_enable"](),this.options[a]=b):this._super(a,b)},_disable:function(){var b=this;a.each(this.tooltips,function(c,d){var e=a.Event("blur");e.target=e.currentTarget=d[0],b.close(e,!0)}),this.element.find(this.options.items).andSelf().each(function(){var b=a(this);b.is("[title]")&&b.data("tooltip-title",b.attr("title")).attr("title","")})},_enable:function(){this.element.find(this.options.items).andSelf().each(function(){var b=a(this);b.data("tooltip-title")&&b.attr("title",b.data("tooltip-title"))})},open:function(b){var c,d=this,e=a(b?b.target:this.element).closest(this.options.items);!!e.length&&!e.attr("aria-describedby")&&(e.data("tooltip-title")||e.data("tooltip-title",e.attr("title")),c=this.options.content.call(e[0],function(a){setTimeout(function(){d._open(b,e,a)},1)}),c&&d._open(b,e,c))},_open:function(b,c,d){if(!!d){c.is("[title]")&&c.attr("title","");var e=this._find(c);e.length||(e=this._tooltip(c),c.attr("aria-describedby",e.attr("id"))),e.find(".ui-tooltip-content").html(d),e.stop(!0).position(a.extend({of:c},this.options.position)).hide(),this._show(e,this.options.show),this._trigger("open",b,{tooltip:e}),this._bind(c,{mouseleave:"close",blur:"close",keyup:function(b){if(b.keyCode==a.ui.keyCode.ESCAPE){var d=a.Event(b);d.currentTarget=c[0],this.close(d,!0)}}})}},close:function(b,c){var d=this,e=a(b?b.currentTarget:this.element),f=this._find(e);if(!!c||this.document[0].activeElement!==e[0])e.data("tooltip-title")&&e.attr("title",e.data("tooltip-title")),e.removeAttr("aria-describedby"),f.stop(!0),this._hide(f,this.options.hide,function(){a(this).remove(),delete d.tooltips[this.id]}),e.unbind("mouseleave.tooltip blur.tooltip keyup.tooltip"),this._trigger("close",b,{tooltip:f})},_tooltip:function(c){var d="ui-tooltip-"+b++,e=a("<div>").attr({id:d,role:"tooltip"}).addClass("ui-tooltip ui-widget ui-corner-all ui-widget-content "+(this.options.tooltipClass||""));a("<div>").addClass("ui-tooltip-content").appendTo(e),e.appendTo(this.document[0].body),a.fn.bgiframe&&e.bgiframe(),this.tooltips[d]=c;return e},_find:function(b){var c=b.attr("aria-describedby");return c?a("#"+c):a()},_destroy:function(){a.each(this.tooltips,function(b){a("#"+b).remove()})}})}(jQuery)
\ No newline at end of file
diff --git a/lib/matplotlib/backends/web_backend/jquery/js/jquery.autogrow.js b/lib/matplotlib/backends/web_backend/jquery/js/jquery.autogrow.js
deleted file mode 100644
index 15f0d352563d..000000000000
--- a/lib/matplotlib/backends/web_backend/jquery/js/jquery.autogrow.js
+++ /dev/null
@@ -1,42 +0,0 @@
-/*
- * Auto Grow Textarea Plugin
- * by Jevin 5/11/2010
- * http://www.technoreply.com/autogrow-textarea-plugin/
- *
- * Modified by Rob G (aka Fudgey/Mottie)
- *  - Converted into a plugin
- *  - Added ability to calculate approximate # cols when textarea is set to 100%
- *
- * Simplified by Brian Granger on 5/2/2011
- */
-
-(function($) {
-    $.fn.autogrow = function() {
-
-    var grow = function(d) {
-        var linesCount = 0;
-        // modified split rule from
-        // http://stackoverflow.com/questions/2035910/how-to-get-the-number-of-lines-in-a-textarea/2036424#2036424
-        var lines = d.txt.value.split(/\r|\r\n|\n/);
-        linesCount = lines.length;
-        if (linesCount >= d.rowsDefault) {
-            d.txt.rows = linesCount;
-        } else {
-            d.txt.rows = d.rowsDefault;
-        }
-    };
-
-    return this.each(function() {
-        var d = {
-            colsDefault : 0,
-            rowsDefault : 1,
-            txt         : this,
-            $txt        : $(this)
-        };
-        d.txt.onkeyup = function() {
-            grow(d);
-        };
-        grow(d);
-    });
-};
-})(jQuery);
diff --git a/lib/matplotlib/backends/web_backend/js/mpl.js b/lib/matplotlib/backends/web_backend/js/mpl.js
new file mode 100644
index 000000000000..303260773a2f
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/js/mpl.js
@@ -0,0 +1,707 @@
+/* Put everything inside the global mpl namespace */
+/* global mpl */
+window.mpl = {};
+
+mpl.get_websocket_type = function () {
+    if (typeof WebSocket !== 'undefined') {
+        return WebSocket;
+    } else if (typeof MozWebSocket !== 'undefined') {
+        return MozWebSocket;
+    } else {
+        alert(
+            'Your browser does not have WebSocket support. ' +
+                'Please try Chrome, Safari or Firefox ≥ 6. ' +
+                'Firefox 4 and 5 are also supported but you ' +
+                'have to enable WebSockets in about:config.'
+        );
+    }
+};
+
+mpl.figure = function (figure_id, websocket, ondownload, parent_element) {
+    this.id = figure_id;
+
+    this.ws = websocket;
+
+    this.supports_binary = this.ws.binaryType !== undefined;
+
+    if (!this.supports_binary) {
+        var warnings = document.getElementById('mpl-warnings');
+        if (warnings) {
+            warnings.style.display = 'block';
+            warnings.textContent =
+                'This browser does not support binary websocket messages. ' +
+                'Performance may be slow.';
+        }
+    }
+
+    this.imageObj = new Image();
+
+    this.context = undefined;
+    this.message = undefined;
+    this.canvas = undefined;
+    this.rubberband_canvas = undefined;
+    this.rubberband_context = undefined;
+    this.format_dropdown = undefined;
+
+    this.image_mode = 'full';
+
+    this.root = document.createElement('div');
+    this.root.setAttribute('style', 'display: inline-block');
+    this._root_extra_style(this.root);
+
+    parent_element.appendChild(this.root);
+
+    this._init_header(this);
+    this._init_canvas(this);
+    this._init_toolbar(this);
+
+    var fig = this;
+
+    this.waiting = false;
+
+    this.ws.onopen = function () {
+        fig.send_message('supports_binary', { value: fig.supports_binary });
+        fig.send_message('send_image_mode', {});
+        if (fig.ratio !== 1) {
+            fig.send_message('set_device_pixel_ratio', {
+                device_pixel_ratio: fig.ratio,
+            });
+        }
+        fig.send_message('refresh', {});
+    };
+
+    this.imageObj.onload = function () {
+        if (fig.image_mode === 'full') {
+            // Full images could contain transparency (where diff images
+            // almost always do), so we need to clear the canvas so that
+            // there is no ghosting.
+            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
+        }
+        fig.context.drawImage(fig.imageObj, 0, 0);
+    };
+
+    this.imageObj.onunload = function () {
+        fig.ws.close();
+    };
+
+    this.ws.onmessage = this._make_on_message_function(this);
+
+    this.ondownload = ondownload;
+};
+
+mpl.figure.prototype._init_header = function () {
+    var titlebar = document.createElement('div');
+    titlebar.classList =
+        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';
+    var titletext = document.createElement('div');
+    titletext.classList = 'ui-dialog-title';
+    titletext.setAttribute(
+        'style',
+        'width: 100%; text-align: center; padding: 3px;'
+    );
+    titlebar.appendChild(titletext);
+    this.root.appendChild(titlebar);
+    this.header = titletext;
+};
+
+mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};
+
+mpl.figure.prototype._root_extra_style = function (_canvas_div) {};
+
+mpl.figure.prototype._init_canvas = function () {
+    var fig = this;
+
+    var canvas_div = (this.canvas_div = document.createElement('div'));
+    canvas_div.setAttribute('tabindex', '0');
+    canvas_div.setAttribute(
+        'style',
+        'border: 1px solid #ddd;' +
+            'box-sizing: content-box;' +
+            'clear: both;' +
+            'min-height: 1px;' +
+            'min-width: 1px;' +
+            'outline: 0;' +
+            'overflow: hidden;' +
+            'position: relative;' +
+            'resize: both;' +
+            'z-index: 2;'
+    );
+
+    function on_keyboard_event_closure(name) {
+        return function (event) {
+            return fig.key_event(event, name);
+        };
+    }
+
+    canvas_div.addEventListener(
+        'keydown',
+        on_keyboard_event_closure('key_press')
+    );
+    canvas_div.addEventListener(
+        'keyup',
+        on_keyboard_event_closure('key_release')
+    );
+
+    this._canvas_extra_style(canvas_div);
+    this.root.appendChild(canvas_div);
+
+    var canvas = (this.canvas = document.createElement('canvas'));
+    canvas.classList.add('mpl-canvas');
+    canvas.setAttribute(
+        'style',
+        'box-sizing: content-box;' +
+            'pointer-events: none;' +
+            'position: relative;' +
+            'z-index: 0;'
+    );
+
+    this.context = canvas.getContext('2d');
+
+    var backingStore =
+        this.context.backingStorePixelRatio ||
+        this.context.webkitBackingStorePixelRatio ||
+        this.context.mozBackingStorePixelRatio ||
+        this.context.msBackingStorePixelRatio ||
+        this.context.oBackingStorePixelRatio ||
+        this.context.backingStorePixelRatio ||
+        1;
+
+    this.ratio = (window.devicePixelRatio || 1) / backingStore;
+
+    var rubberband_canvas = (this.rubberband_canvas = document.createElement(
+        'canvas'
+    ));
+    rubberband_canvas.setAttribute(
+        'style',
+        'box-sizing: content-box;' +
+            'left: 0;' +
+            'pointer-events: none;' +
+            'position: absolute;' +
+            'top: 0;' +
+            'z-index: 1;'
+    );
+
+    // Apply a ponyfill if ResizeObserver is not implemented by browser.
+    if (this.ResizeObserver === undefined) {
+        if (window.ResizeObserver !== undefined) {
+            this.ResizeObserver = window.ResizeObserver;
+        } else {
+            var obs = _JSXTOOLS_RESIZE_OBSERVER({});
+            this.ResizeObserver = obs.ResizeObserver;
+        }
+    }
+
+    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {
+        // There's no need to resize if the WebSocket is not connected:
+        // - If it is still connecting, then we will get an initial resize from
+        //   Python once it connects.
+        // - If it has disconnected, then resizing will clear the canvas and
+        //   never get anything back to refill it, so better to not resize and
+        //   keep something visible.
+        if (fig.ws.readyState != 1) {
+            return;
+        }
+        var nentries = entries.length;
+        for (var i = 0; i < nentries; i++) {
+            var entry = entries[i];
+            var width, height;
+            if (entry.contentBoxSize) {
+                if (entry.contentBoxSize instanceof Array) {
+                    // Chrome 84 implements new version of spec.
+                    width = entry.contentBoxSize[0].inlineSize;
+                    height = entry.contentBoxSize[0].blockSize;
+                } else {
+                    // Firefox implements old version of spec.
+                    width = entry.contentBoxSize.inlineSize;
+                    height = entry.contentBoxSize.blockSize;
+                }
+            } else {
+                // Chrome <84 implements even older version of spec.
+                width = entry.contentRect.width;
+                height = entry.contentRect.height;
+            }
+
+            // Keep the size of the canvas and rubber band canvas in sync with
+            // the canvas container.
+            if (entry.devicePixelContentBoxSize) {
+                // Chrome 84 implements new version of spec.
+                canvas.setAttribute(
+                    'width',
+                    entry.devicePixelContentBoxSize[0].inlineSize
+                );
+                canvas.setAttribute(
+                    'height',
+                    entry.devicePixelContentBoxSize[0].blockSize
+                );
+            } else {
+                canvas.setAttribute('width', width * fig.ratio);
+                canvas.setAttribute('height', height * fig.ratio);
+            }
+            /* This rescales the canvas back to display pixels, so that it
+             * appears correct on HiDPI screens. */
+            canvas.style.width = width + 'px';
+            canvas.style.height = height + 'px';
+
+            rubberband_canvas.setAttribute('width', width);
+            rubberband_canvas.setAttribute('height', height);
+
+            // And update the size in Python. We ignore the initial 0/0 size
+            // that occurs as the element is placed into the DOM, which should
+            // otherwise not happen due to the minimum size styling.
+            if (width != 0 && height != 0) {
+                fig.request_resize(width, height);
+            }
+        }
+    });
+    this.resizeObserverInstance.observe(canvas_div);
+
+    function on_mouse_event_closure(name) {
+        /* User Agent sniffing is bad, but WebKit is busted:
+         * https://bugs.webkit.org/show_bug.cgi?id=144526
+         * https://bugs.webkit.org/show_bug.cgi?id=181818
+         * The worst that happens here is that they get an extra browser
+         * selection when dragging, if this check fails to catch them.
+         */
+        var UA = navigator.userAgent;
+        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);
+        if(isWebKit) {
+            return function (event) {
+                /* This prevents the web browser from automatically changing to
+                 * the text insertion cursor when the button is pressed. We
+                 * want to control all of the cursor setting manually through
+                 * the 'cursor' event from matplotlib */
+                event.preventDefault()
+                return fig.mouse_event(event, name);
+            };
+        } else {
+            return function (event) {
+                return fig.mouse_event(event, name);
+            };
+        }
+    }
+
+    canvas_div.addEventListener(
+        'mousedown',
+        on_mouse_event_closure('button_press')
+    );
+    canvas_div.addEventListener(
+        'mouseup',
+        on_mouse_event_closure('button_release')
+    );
+    canvas_div.addEventListener(
+        'dblclick',
+        on_mouse_event_closure('dblclick')
+    );
+    // Throttle sequential mouse events to 1 every 20ms.
+    canvas_div.addEventListener(
+        'mousemove',
+        on_mouse_event_closure('motion_notify')
+    );
+
+    canvas_div.addEventListener(
+        'mouseenter',
+        on_mouse_event_closure('figure_enter')
+    );
+    canvas_div.addEventListener(
+        'mouseleave',
+        on_mouse_event_closure('figure_leave')
+    );
+
+    canvas_div.addEventListener('wheel', function (event) {
+        if (event.deltaY < 0) {
+            event.step = 1;
+        } else {
+            event.step = -1;
+        }
+        on_mouse_event_closure('scroll')(event);
+    });
+
+    canvas_div.appendChild(canvas);
+    canvas_div.appendChild(rubberband_canvas);
+
+    this.rubberband_context = rubberband_canvas.getContext('2d');
+    this.rubberband_context.strokeStyle = '#000000';
+
+    this._resize_canvas = function (width, height, forward) {
+        if (forward) {
+            canvas_div.style.width = width + 'px';
+            canvas_div.style.height = height + 'px';
+        }
+    };
+
+    // Disable right mouse context menu.
+    canvas_div.addEventListener('contextmenu', function (_e) {
+        event.preventDefault();
+        return false;
+    });
+
+    function set_focus() {
+        canvas.focus();
+        canvas_div.focus();
+    }
+
+    window.setTimeout(set_focus, 100);
+};
+
+mpl.figure.prototype._init_toolbar = function () {
+    var fig = this;
+
+    var toolbar = document.createElement('div');
+    toolbar.classList = 'mpl-toolbar';
+    this.root.appendChild(toolbar);
+
+    function on_click_closure(name) {
+        return function (_event) {
+            return fig.toolbar_button_onclick(name);
+        };
+    }
+
+    function on_mouseover_closure(tooltip) {
+        return function (event) {
+            if (!event.currentTarget.disabled) {
+                return fig.toolbar_button_onmouseover(tooltip);
+            }
+        };
+    }
+
+    fig.buttons = {};
+    var buttonGroup = document.createElement('div');
+    buttonGroup.classList = 'mpl-button-group';
+    for (var toolbar_ind in mpl.toolbar_items) {
+        var name = mpl.toolbar_items[toolbar_ind][0];
+        var tooltip = mpl.toolbar_items[toolbar_ind][1];
+        var image = mpl.toolbar_items[toolbar_ind][2];
+        var method_name = mpl.toolbar_items[toolbar_ind][3];
+
+        if (!name) {
+            /* Instead of a spacer, we start a new button group. */
+            if (buttonGroup.hasChildNodes()) {
+                toolbar.appendChild(buttonGroup);
+            }
+            buttonGroup = document.createElement('div');
+            buttonGroup.classList = 'mpl-button-group';
+            continue;
+        }
+
+        var button = (fig.buttons[name] = document.createElement('button'));
+        button.classList = 'mpl-widget';
+        button.setAttribute('role', 'button');
+        button.setAttribute('aria-disabled', 'false');
+        button.addEventListener('click', on_click_closure(method_name));
+        button.addEventListener('mouseover', on_mouseover_closure(tooltip));
+
+        var icon_img = document.createElement('img');
+        icon_img.src = '_images/' + image + '.png';
+        icon_img.srcset = '_images/' + image + '_large.png 2x';
+        icon_img.alt = tooltip;
+        button.appendChild(icon_img);
+
+        buttonGroup.appendChild(button);
+    }
+
+    if (buttonGroup.hasChildNodes()) {
+        toolbar.appendChild(buttonGroup);
+    }
+
+    var fmt_picker = document.createElement('select');
+    fmt_picker.classList = 'mpl-widget';
+    toolbar.appendChild(fmt_picker);
+    this.format_dropdown = fmt_picker;
+
+    for (var ind in mpl.extensions) {
+        var fmt = mpl.extensions[ind];
+        var option = document.createElement('option');
+        option.selected = fmt === mpl.default_extension;
+        option.innerHTML = fmt;
+        fmt_picker.appendChild(option);
+    }
+
+    var status_bar = document.createElement('span');
+    status_bar.classList = 'mpl-message';
+    toolbar.appendChild(status_bar);
+    this.message = status_bar;
+};
+
+mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {
+    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
+    // which will in turn request a refresh of the image.
+    this.send_message('resize', { width: x_pixels, height: y_pixels });
+};
+
+mpl.figure.prototype.send_message = function (type, properties) {
+    properties['type'] = type;
+    properties['figure_id'] = this.id;
+    this.ws.send(JSON.stringify(properties));
+};
+
+mpl.figure.prototype.send_draw_message = function () {
+    if (!this.waiting) {
+        this.waiting = true;
+        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));
+    }
+};
+
+mpl.figure.prototype.handle_save = function (fig, _msg) {
+    var format_dropdown = fig.format_dropdown;
+    var format = format_dropdown.options[format_dropdown.selectedIndex].value;
+    fig.ondownload(fig, format);
+};
+
+mpl.figure.prototype.handle_resize = function (fig, msg) {
+    var size = msg['size'];
+    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {
+        fig._resize_canvas(size[0], size[1], msg['forward']);
+        fig.send_message('refresh', {});
+    }
+};
+
+mpl.figure.prototype.handle_rubberband = function (fig, msg) {
+    var x0 = msg['x0'] / fig.ratio;
+    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;
+    var x1 = msg['x1'] / fig.ratio;
+    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;
+    x0 = Math.floor(x0) + 0.5;
+    y0 = Math.floor(y0) + 0.5;
+    x1 = Math.floor(x1) + 0.5;
+    y1 = Math.floor(y1) + 0.5;
+    var min_x = Math.min(x0, x1);
+    var min_y = Math.min(y0, y1);
+    var width = Math.abs(x1 - x0);
+    var height = Math.abs(y1 - y0);
+
+    fig.rubberband_context.clearRect(
+        0,
+        0,
+        fig.canvas.width / fig.ratio,
+        fig.canvas.height / fig.ratio
+    );
+
+    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
+};
+
+mpl.figure.prototype.handle_figure_label = function (fig, msg) {
+    // Updates the figure title.
+    fig.header.textContent = msg['label'];
+};
+
+mpl.figure.prototype.handle_cursor = function (fig, msg) {
+    fig.canvas_div.style.cursor = msg['cursor'];
+};
+
+mpl.figure.prototype.handle_message = function (fig, msg) {
+    fig.message.textContent = msg['message'];
+};
+
+mpl.figure.prototype.handle_draw = function (fig, _msg) {
+    // Request the server to send over a new figure.
+    fig.send_draw_message();
+};
+
+mpl.figure.prototype.handle_image_mode = function (fig, msg) {
+    fig.image_mode = msg['mode'];
+};
+
+mpl.figure.prototype.handle_history_buttons = function (fig, msg) {
+    for (var key in msg) {
+        if (!(key in fig.buttons)) {
+            continue;
+        }
+        fig.buttons[key].disabled = !msg[key];
+        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);
+    }
+};
+
+mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {
+    if (msg['mode'] === 'PAN') {
+        fig.buttons['Pan'].classList.add('active');
+        fig.buttons['Zoom'].classList.remove('active');
+    } else if (msg['mode'] === 'ZOOM') {
+        fig.buttons['Pan'].classList.remove('active');
+        fig.buttons['Zoom'].classList.add('active');
+    } else {
+        fig.buttons['Pan'].classList.remove('active');
+        fig.buttons['Zoom'].classList.remove('active');
+    }
+};
+
+mpl.figure.prototype.updated_canvas_event = function () {
+    // Called whenever the canvas gets updated.
+    this.send_message('ack', {});
+};
+
+// A function to construct a web socket function for onmessage handling.
+// Called in the figure constructor.
+mpl.figure.prototype._make_on_message_function = function (fig) {
+    return function socket_on_message(evt) {
+        if (evt.data instanceof Blob) {
+            var img = evt.data;
+            if (img.type !== 'image/png') {
+                /* FIXME: We get "Resource interpreted as Image but
+                 * transferred with MIME type text/plain:" errors on
+                 * Chrome.  But how to set the MIME type?  It doesn't seem
+                 * to be part of the websocket stream */
+                img.type = 'image/png';
+            }
+
+            /* Free the memory for the previous frames */
+            if (fig.imageObj.src) {
+                (window.URL || window.webkitURL).revokeObjectURL(
+                    fig.imageObj.src
+                );
+            }
+
+            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
+                img
+            );
+            fig.updated_canvas_event();
+            fig.waiting = false;
+            return;
+        } else if (
+            typeof evt.data === 'string' &&
+            evt.data.slice(0, 21) === 'data:image/png;base64'
+        ) {
+            fig.imageObj.src = evt.data;
+            fig.updated_canvas_event();
+            fig.waiting = false;
+            return;
+        }
+
+        var msg = JSON.parse(evt.data);
+        var msg_type = msg['type'];
+
+        // Call the  "handle_{type}" callback, which takes
+        // the figure and JSON message as its only arguments.
+        try {
+            var callback = fig['handle_' + msg_type];
+        } catch (e) {
+            console.log(
+                "No handler for the '%s' message type: ",
+                msg_type,
+                msg
+            );
+            return;
+        }
+
+        if (callback) {
+            try {
+                // console.log("Handling '%s' message: ", msg_type, msg);
+                callback(fig, msg);
+            } catch (e) {
+                console.log(
+                    "Exception inside the 'handler_%s' callback:",
+                    msg_type,
+                    e,
+                    e.stack,
+                    msg
+                );
+            }
+        }
+    };
+};
+
+function getModifiers(event) {
+    var mods = [];
+    if (event.ctrlKey) {
+        mods.push('ctrl');
+    }
+    if (event.altKey) {
+        mods.push('alt');
+    }
+    if (event.shiftKey) {
+        mods.push('shift');
+    }
+    if (event.metaKey) {
+        mods.push('meta');
+    }
+    return mods;
+}
+
+/*
+ * return a copy of an object with only non-object keys
+ * we need this to avoid circular references
+ * https://stackoverflow.com/a/24161582/3208463
+ */
+function simpleKeys(original) {
+    return Object.keys(original).reduce(function (obj, key) {
+        if (typeof original[key] !== 'object') {
+            obj[key] = original[key];
+        }
+        return obj;
+    }, {});
+}
+
+mpl.figure.prototype.mouse_event = function (event, name) {
+    if (name === 'button_press') {
+        this.canvas.focus();
+        this.canvas_div.focus();
+    }
+
+    // from https://stackoverflow.com/q/1114465
+    var boundingRect = this.canvas.getBoundingClientRect();
+    var x = (event.clientX - boundingRect.left) * this.ratio;
+    var y = (event.clientY - boundingRect.top) * this.ratio;
+
+    this.send_message(name, {
+        x: x,
+        y: y,
+        button: event.button,
+        step: event.step,
+        buttons: event.buttons,
+        modifiers: getModifiers(event),
+        guiEvent: simpleKeys(event),
+    });
+
+    return false;
+};
+
+mpl.figure.prototype._key_event_extra = function (_event, _name) {
+    // Handle any extra behaviour associated with a key event
+};
+
+mpl.figure.prototype.key_event = function (event, name) {
+    // Prevent repeat events
+    if (name === 'key_press') {
+        if (event.key === this._key) {
+            return;
+        } else {
+            this._key = event.key;
+        }
+    }
+    if (name === 'key_release') {
+        this._key = null;
+    }
+
+    var value = '';
+    if (event.ctrlKey && event.key !== 'Control') {
+        value += 'ctrl+';
+    }
+    else if (event.altKey && event.key !== 'Alt') {
+        value += 'alt+';
+    }
+    else if (event.shiftKey && event.key !== 'Shift') {
+        value += 'shift+';
+    }
+
+    value += 'k' + event.key;
+
+    this._key_event_extra(event, name);
+
+    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });
+    return false;
+};
+
+mpl.figure.prototype.toolbar_button_onclick = function (name) {
+    if (name === 'download') {
+        this.handle_save(this, null);
+    } else {
+        this.send_message('toolbar_button', { name: name });
+    }
+};
+
+mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {
+    this.message.textContent = tooltip;
+};
+
+///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////
+// prettier-ignore
+var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError("Constructor requires 'new' operator");i.set(this,e)}function h(){throw new TypeError("Function is not a constructor")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line
diff --git a/lib/matplotlib/backends/web_backend/mpl_tornado.js b/lib/matplotlib/backends/web_backend/js/mpl_tornado.js
similarity index 90%
rename from lib/matplotlib/backends/web_backend/mpl_tornado.js
rename to lib/matplotlib/backends/web_backend/js/mpl_tornado.js
index 8eb5eedb506a..b3cab8b7b906 100644
--- a/lib/matplotlib/backends/web_backend/mpl_tornado.js
+++ b/lib/matplotlib/backends/web_backend/js/mpl_tornado.js
@@ -2,6 +2,7 @@
    tornado-based server, that are not relevant when embedding WebAgg
    in another web application. */
 
+/* exported mpl_ondownload */
 function mpl_ondownload(figure, format) {
     window.open(figure.id + '/download.' + format, '_blank');
 }
diff --git a/lib/matplotlib/backends/web_backend/js/nbagg_mpl.js b/lib/matplotlib/backends/web_backend/js/nbagg_mpl.js
new file mode 100644
index 000000000000..26d79ff4e1da
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/js/nbagg_mpl.js
@@ -0,0 +1,275 @@
+/* global mpl */
+
+var comm_websocket_adapter = function (comm) {
+    // Create a "websocket"-like object which calls the given IPython comm
+    // object with the appropriate methods. Currently this is a non binary
+    // socket, so there is still some room for performance tuning.
+    var ws = {};
+
+    ws.binaryType = comm.kernel.ws.binaryType;
+    ws.readyState = comm.kernel.ws.readyState;
+    function updateReadyState(_event) {
+        if (comm.kernel.ws) {
+            ws.readyState = comm.kernel.ws.readyState;
+        } else {
+            ws.readyState = 3; // Closed state.
+        }
+    }
+    comm.kernel.ws.addEventListener('open', updateReadyState);
+    comm.kernel.ws.addEventListener('close', updateReadyState);
+    comm.kernel.ws.addEventListener('error', updateReadyState);
+
+    ws.close = function () {
+        comm.close();
+    };
+    ws.send = function (m) {
+        //console.log('sending', m);
+        comm.send(m);
+    };
+    // Register the callback with on_msg.
+    comm.on_msg(function (msg) {
+        //console.log('receiving', msg['content']['data'], msg);
+        var data = msg['content']['data'];
+        if (data['blob'] !== undefined) {
+            data = {
+                data: new Blob(msg['buffers'], { type: data['blob'] }),
+            };
+        }
+        // Pass the mpl event to the overridden (by mpl) onmessage function.
+        ws.onmessage(data);
+    });
+    return ws;
+};
+
+mpl.mpl_figure_comm = function (comm, msg) {
+    // This is the function which gets called when the mpl process
+    // starts-up an IPython Comm through the "matplotlib" channel.
+
+    var id = msg.content.data.id;
+    // Get hold of the div created by the display call when the Comm
+    // socket was opened in Python.
+    var element = document.getElementById(id);
+    var ws_proxy = comm_websocket_adapter(comm);
+
+    function ondownload(figure, _format) {
+        window.open(figure.canvas.toDataURL());
+    }
+
+    var fig = new mpl.figure(id, ws_proxy, ondownload, element);
+
+    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
+    // web socket which is closed, not our websocket->open comm proxy.
+    ws_proxy.onopen();
+
+    fig.parent_element = element;
+    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
+    if (!fig.cell_info) {
+        console.error('Failed to find cell for figure', id, fig);
+        return;
+    }
+    fig.cell_info[0].output_area.element.on(
+        'cleared',
+        { fig: fig },
+        fig._remove_fig_handler
+    );
+};
+
+mpl.figure.prototype.handle_close = function (fig, msg) {
+    var width = fig.canvas.width / fig.ratio;
+    fig.cell_info[0].output_area.element.off(
+        'cleared',
+        fig._remove_fig_handler
+    );
+    fig.resizeObserverInstance.unobserve(fig.canvas_div);
+
+    // Update the output cell to use the data from the current canvas.
+    fig.push_to_output();
+    var dataURL = fig.canvas.toDataURL();
+    // Re-enable the keyboard manager in IPython - without this line, in FF,
+    // the notebook keyboard shortcuts fail.
+    IPython.keyboard_manager.enable();
+    fig.parent_element.innerHTML =
+        '<img src="' + dataURL + '" width="' + width + '">';
+    fig.close_ws(fig, msg);
+};
+
+mpl.figure.prototype.close_ws = function (fig, msg) {
+    fig.send_message('closing', msg);
+    // fig.ws.close()
+};
+
+mpl.figure.prototype.push_to_output = function (_remove_interactive) {
+    // Turn the data on the canvas into data in the output cell.
+    var width = this.canvas.width / this.ratio;
+    var dataURL = this.canvas.toDataURL();
+    this.cell_info[1]['text/html'] =
+        '<img src="' + dataURL + '" width="' + width + '">';
+};
+
+mpl.figure.prototype.updated_canvas_event = function () {
+    // Tell IPython that the notebook contents must change.
+    IPython.notebook.set_dirty(true);
+    this.send_message('ack', {});
+    var fig = this;
+    // Wait a second, then push the new image to the DOM so
+    // that it is saved nicely (might be nice to debounce this).
+    setTimeout(function () {
+        fig.push_to_output();
+    }, 1000);
+};
+
+mpl.figure.prototype._init_toolbar = function () {
+    var fig = this;
+
+    var toolbar = document.createElement('div');
+    toolbar.classList = 'btn-toolbar';
+    this.root.appendChild(toolbar);
+
+    function on_click_closure(name) {
+        return function (_event) {
+            return fig.toolbar_button_onclick(name);
+        };
+    }
+
+    function on_mouseover_closure(tooltip) {
+        return function (event) {
+            if (!event.currentTarget.disabled) {
+                return fig.toolbar_button_onmouseover(tooltip);
+            }
+        };
+    }
+
+    fig.buttons = {};
+    var buttonGroup = document.createElement('div');
+    buttonGroup.classList = 'btn-group';
+    var button;
+    for (var toolbar_ind in mpl.toolbar_items) {
+        var name = mpl.toolbar_items[toolbar_ind][0];
+        var tooltip = mpl.toolbar_items[toolbar_ind][1];
+        var image = mpl.toolbar_items[toolbar_ind][2];
+        var method_name = mpl.toolbar_items[toolbar_ind][3];
+
+        if (!name) {
+            /* Instead of a spacer, we start a new button group. */
+            if (buttonGroup.hasChildNodes()) {
+                toolbar.appendChild(buttonGroup);
+            }
+            buttonGroup = document.createElement('div');
+            buttonGroup.classList = 'btn-group';
+            continue;
+        }
+
+        button = fig.buttons[name] = document.createElement('button');
+        button.classList = 'btn btn-default';
+        button.href = '#';
+        button.title = name;
+        button.innerHTML = '<i class="fa ' + image + ' fa-lg"></i>';
+        button.addEventListener('click', on_click_closure(method_name));
+        button.addEventListener('mouseover', on_mouseover_closure(tooltip));
+        buttonGroup.appendChild(button);
+    }
+
+    if (buttonGroup.hasChildNodes()) {
+        toolbar.appendChild(buttonGroup);
+    }
+
+    // Add the status bar.
+    var status_bar = document.createElement('span');
+    status_bar.classList = 'mpl-message pull-right';
+    toolbar.appendChild(status_bar);
+    this.message = status_bar;
+
+    // Add the close button to the window.
+    var buttongrp = document.createElement('div');
+    buttongrp.classList = 'btn-group inline pull-right';
+    button = document.createElement('button');
+    button.classList = 'btn btn-mini btn-primary';
+    button.href = '#';
+    button.title = 'Stop Interaction';
+    button.innerHTML = '<i class="fa fa-power-off icon-remove icon-large"></i>';
+    button.addEventListener('click', function (_evt) {
+        fig.handle_close(fig, {});
+    });
+    button.addEventListener(
+        'mouseover',
+        on_mouseover_closure('Stop Interaction')
+    );
+    buttongrp.appendChild(button);
+    var titlebar = this.root.querySelector('.ui-dialog-titlebar');
+    titlebar.insertBefore(buttongrp, titlebar.firstChild);
+};
+
+mpl.figure.prototype._remove_fig_handler = function (event) {
+    var fig = event.data.fig;
+    if (event.target !== this) {
+        // Ignore bubbled events from children.
+        return;
+    }
+    fig.close_ws(fig, {});
+};
+
+mpl.figure.prototype._root_extra_style = function (el) {
+    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.
+};
+
+mpl.figure.prototype._canvas_extra_style = function (el) {
+    // this is important to make the div 'focusable
+    el.setAttribute('tabindex', 0);
+    // reach out to IPython and tell the keyboard manager to turn it's self
+    // off when our div gets focus
+
+    // location in version 3
+    if (IPython.notebook.keyboard_manager) {
+        IPython.notebook.keyboard_manager.register_events(el);
+    } else {
+        // location in version 2
+        IPython.keyboard_manager.register_events(el);
+    }
+};
+
+mpl.figure.prototype._key_event_extra = function (event, _name) {
+    // Check for shift+enter
+    if (event.shiftKey && event.which === 13) {
+        this.canvas_div.blur();
+        // select the cell after this one
+        var index = IPython.notebook.find_cell_index(this.cell_info[0]);
+        IPython.notebook.select(index + 1);
+    }
+};
+
+mpl.figure.prototype.handle_save = function (fig, _msg) {
+    fig.ondownload(fig, null);
+};
+
+mpl.find_output_cell = function (html_output) {
+    // Return the cell and output element which can be found *uniquely* in the notebook.
+    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
+    // IPython event is triggered only after the cells have been serialised, which for
+    // our purposes (turning an active figure into a static one), is too late.
+    var cells = IPython.notebook.get_cells();
+    var ncells = cells.length;
+    for (var i = 0; i < ncells; i++) {
+        var cell = cells[i];
+        if (cell.cell_type === 'code') {
+            for (var j = 0; j < cell.output_area.outputs.length; j++) {
+                var data = cell.output_area.outputs[j];
+                if (data.data) {
+                    // IPython >= 3 moved mimebundle to data attribute of output
+                    data = data.data;
+                }
+                if (data['text/html'] === html_output) {
+                    return [cell, data, j];
+                }
+            }
+        }
+    }
+};
+
+// Register the function which deals with the matplotlib target/channel.
+// The kernel may be null if the page has been refreshed.
+if (IPython.notebook.kernel !== null) {
+    IPython.notebook.kernel.comm_manager.register_target(
+        'matplotlib',
+        mpl.mpl_figure_comm
+    );
+}
diff --git a/lib/matplotlib/backends/web_backend/meson.build b/lib/matplotlib/backends/web_backend/meson.build
new file mode 100644
index 000000000000..f8025d1742d3
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/meson.build
@@ -0,0 +1,14 @@
+install_dir = py3.get_install_dir(subdir: 'matplotlib/backends/web_backend')
+
+install_data(
+  'all_figures.html',
+  'ipython_inline_figure.html',
+  'single_figure.html',
+  install_tag: 'data',
+  install_dir: install_dir)
+install_subdir('css', install_tag: 'data', install_dir: install_dir)
+install_subdir('js', install_tag: 'data', install_dir: install_dir)
+install_data(
+  'nbagg_uat.ipynb',
+  install_tag: 'tests',
+  install_dir: install_dir)
diff --git a/lib/matplotlib/backends/web_backend/mpl.js b/lib/matplotlib/backends/web_backend/mpl.js
deleted file mode 100644
index 6d6a1f3a4e59..000000000000
--- a/lib/matplotlib/backends/web_backend/mpl.js
+++ /dev/null
@@ -1,462 +0,0 @@
-/* Put everything inside the global mpl namespace */
-window.mpl = {};
-
-mpl.get_websocket_type = function() {
-    if (typeof(WebSocket) !== 'undefined') {
-        return WebSocket;
-    } else if (typeof(MozWebSocket) !== 'undefined') {
-        return MozWebSocket;
-    } else {
-        alert('Your browser does not have WebSocket support.' +
-              'Please try Chrome, Safari or Firefox ≥ 6. ' +
-              'Firefox 4 and 5 are also supported but you ' +
-              'have to enable WebSockets in about:config.');
-    };
-}
-
-mpl.figure = function(figure_id, websocket, ondownload, parent_element) {
-    this.id = figure_id;
-
-    this.ws = websocket;
-
-    this.supports_binary = (this.ws.binaryType != undefined);
-
-    if (!this.supports_binary) {
-        var warnings = document.getElementById("mpl-warnings");
-        if (warnings) {
-            warnings.style.display = 'block';
-            warnings.textContent = (
-                "This browser does not support binary websocket messages. " +
-                    "Performance may be slow.");
-        }
-    }
-
-    this.imageObj = new Image();
-
-    this.context = undefined;
-    this.message = undefined;
-    this.canvas = undefined;
-    this.rubberband_canvas = undefined;
-    this.rubberband_context = undefined;
-    this.format_dropdown = undefined;
-
-    this.focus_on_mousover = false;
-    this.image_mode = 'full';
-
-    this.root = $('<div/>');
-    this.root.attr('style', 'display: inline-block');
-    $(parent_element).append(this.root);
-
-    this._init_header(this);
-    this._init_canvas(this);
-    this._init_toolbar(this);
-
-    var fig = this;
-
-    this.waiting = false;
-
-    this.ws.onopen =  function () {
-            fig.send_message("supports_binary", {value: fig.supports_binary});
-            fig.send_message("send_image_mode", {});
-            fig.send_message("refresh", {});
-        }
-
-    this.imageObj.onload = function() {
-            if (fig.image_mode == 'full') {
-                // Full images could contain transparency (where diff images
-                // almost always do), so we need to clear the canvas so that
-                // there is no ghosting.
-                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
-            }
-            fig.context.drawImage(fig.imageObj, 0, 0);
-            fig.waiting = false;
-        };
-
-    this.imageObj.onunload = function() {
-        this.ws.close();
-    }
-
-    this.ws.onmessage = this._make_on_message_function(this);
-
-    this.ondownload = ondownload;
-}
-
-mpl.figure.prototype._init_header = function() {
-    var titlebar = $(
-        '<div class="ui-dialog-titlebar ui-widget-header ui-corner-all ' +
-        'ui-helper-clearfix"/>');
-    var titletext = $(
-        '<div class="ui-dialog-title" style="width: 100%; ' +
-        'text-align: center; padding: 3px;"/>');
-    titlebar.append(titletext)
-    this.root.append(titlebar);
-    this.header = titletext[0];
-}
-
-mpl.figure.prototype._init_canvas = function() {
-    var fig = this;
-
-    var canvas_div = $('<div/>');
-    canvas_div.resizable({ resize: mpl.debounce_resize(
-        function(event, ui) { fig.request_resize(ui.size.width, ui.size.height); }
-        , 50)});
-
-    canvas_div.attr('style', 'position: relative; clear: both;');
-    this.root.append(canvas_div);
-
-    var canvas = $('<canvas/>');
-    canvas.addClass('mpl-canvas');
-    canvas.attr('style', "left: 0; top: 0; z-index: 0;")
-
-    function canvas_keyboard_event(event) {
-        return fig.key_event(event, event['data']);
-    }
-
-    this.canvas = canvas[0];
-    this.context = canvas[0].getContext("2d");
-
-    var rubberband = $('<canvas/>');
-    rubberband.attr('style', "position: absolute; left: 0; top: 0; z-index: 1;")
-    function mouse_event_fn(event) {
-        return fig.mouse_event(event, event['data']);
-    }
-    rubberband.mousedown('button_press', mouse_event_fn);
-    rubberband.mouseup('button_release', mouse_event_fn);
-    // Throttle sequential mouse events to 1 every 20ms.
-    rubberband.mousemove('motion_notify', mouse_event_fn);
-
-    canvas_div.append(canvas);
-    canvas_div.append(rubberband);
-
-    canvas_div.keydown('key_press', canvas_keyboard_event);
-    canvas_div.keydown('key_release', canvas_keyboard_event);
-
-    this.rubberband = rubberband;
-    this.rubberband_canvas = rubberband[0];
-    this.rubberband_context = rubberband[0].getContext("2d");
-    this.rubberband_context.strokeStyle = "#000000";
-
-    this._resize_canvas = function(width, height) {
-        // Keep the size of the canvas, canvas container, and rubber band
-        // canvas in synch.
-        canvas_div.css('width', width)
-        canvas_div.css('height', height)
-
-        canvas.attr('width', width);
-        canvas.attr('height', height);
-
-        rubberband.attr('width', width);
-        rubberband.attr('height', height);
-    }
-
-    // Set the figure to an initial 600x600px, this will subsequently be updated
-    // upon first draw.
-    this._resize_canvas(600, 600);
-}
-
-mpl.figure.prototype._init_toolbar = function() {
-    var fig = this;
-
-    var nav_element = $('<div/>')
-    nav_element.attr('style', 'width: 100%');
-    this.root.append(nav_element);
-
-    // Define a callback function for later on.
-    function toolbar_event(event) {
-        return fig.toolbar_button_onclick(event['data']);
-    }
-    function toolbar_mouse_event(event) {
-        return fig.toolbar_button_onmouseover(event['data']);
-    }
-
-    for(var toolbar_ind in mpl.toolbar_items){
-        var name = mpl.toolbar_items[toolbar_ind][0];
-        var tooltip = mpl.toolbar_items[toolbar_ind][1];
-        var image = mpl.toolbar_items[toolbar_ind][2];
-        var method_name = mpl.toolbar_items[toolbar_ind][3];
-
-        if (!name) {
-            // put a spacer in here.
-            continue;
-        }
-        var button = $('<button/>');
-        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +
-                        'ui-button-icon-only');
-        button.attr('role', 'button');
-        button.attr('aria-disabled', 'false');
-        button.click(method_name, toolbar_event);
-        button.mouseover(tooltip, toolbar_mouse_event);
-
-        var icon_img = $('<span/>');
-        icon_img.addClass('ui-button-icon-primary ui-icon');
-        icon_img.addClass(image);
-        icon_img.addClass('ui-corner-all');
-
-        var tooltip_span = $('<span/>');
-        tooltip_span.addClass('ui-button-text');
-        tooltip_span.html(tooltip);
-
-        button.append(icon_img);
-        button.append(tooltip_span);
-
-        nav_element.append(button);
-    }
-
-    var fmt_picker_span = $('<span/>');
-
-    var fmt_picker = $('<select/>');
-    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');
-    fmt_picker_span.append(fmt_picker);
-    nav_element.append(fmt_picker_span);
-    this.format_dropdown = fmt_picker[0];
-
-    for (var ind in mpl.extensions) {
-        var fmt = mpl.extensions[ind];
-        var option = $(
-            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);
-        fmt_picker.append(option)
-    }
-
-    // Add hover states to the ui-buttons
-    $( ".ui-button" ).hover(
-        function() { $(this).addClass("ui-state-hover");},
-        function() { $(this).removeClass("ui-state-hover");}
-    );
-
-    var status_bar = $('<span class="mpl-message"/>');
-    nav_element.append(status_bar);
-    this.message = status_bar[0];
-}
-
-mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {
-    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
-    // which will in turn request a refresh of the image.
-    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});
-}
-
-mpl.figure.prototype.send_message = function(type, properties) {
-    properties['type'] = type;
-    properties['figure_id'] = this.id;
-    this.ws.send(JSON.stringify(properties));
-}
-
-mpl.figure.prototype.send_draw_message = function() {
-    if (!this.waiting) {
-        this.waiting = true;
-        this.ws.send(JSON.stringify({type: "draw", figure_id: this.id}));
-    }
-}
-
-mpl.figure.prototype.handle_resize = function(fig, msg) {
-    var size = msg['size'];
-    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {
-        fig._resize_canvas(size[0], size[1]);
-        fig.send_message("refresh", {});
-    };
-}
-
-mpl.figure.prototype.handle_rubberband = function(fig, msg) {
-    var x0 = msg['x0'];
-    var y0 = fig.canvas.height - msg['y0'];
-    var x1 = msg['x1'];
-    var y1 = fig.canvas.height - msg['y1'];
-    x0 = Math.floor(x0) + 0.5;
-    y0 = Math.floor(y0) + 0.5;
-    x1 = Math.floor(x1) + 0.5;
-    y1 = Math.floor(y1) + 0.5;
-    var min_x = Math.min(x0, x1);
-    var min_y = Math.min(y0, y1);
-    var width = Math.abs(x1 - x0);
-    var height = Math.abs(y1 - y0);
-
-    fig.rubberband_context.clearRect(
-        0, 0, fig.canvas.width, fig.canvas.height);
-
-    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
-}
-
-mpl.figure.prototype.handle_figure_label = function(fig, msg) {
-    // Updates the figure title.
-    fig.header.textContent = msg['label'];
-}
-
-mpl.figure.prototype.handle_cursor = function(fig, msg) {
-    var cursor = msg['cursor'];
-    switch(cursor)
-    {
-    case 0:
-        cursor = 'pointer';
-        break;
-    case 1:
-        cursor = 'default';
-        break;
-    case 2:
-        cursor = 'crosshair';
-        break;
-    case 3:
-        cursor = 'move';
-        break;
-    }
-    fig.rubberband_canvas.style.cursor = cursor;
-}
-
-mpl.figure.prototype.handle_message = function(fig, msg) {
-    fig.message.textContent = msg['message'];
-}
-
-mpl.figure.prototype.handle_draw = function(fig, msg) {
-    // Request the server to send over a new figure.
-    fig.send_draw_message();
-}
-
-mpl.figure.prototype.handle_image_mode = function(fig, msg) {
-    fig.image_mode = msg['mode'];
-}
-
-mpl.figure.prototype.updated_canvas_event = function() {
-    // Called whenever the canvas gets updated.
-    this.send_message("ack", {});
-}
-
-// A function to construct a web socket function for onmessage handling.
-// Called in the figure constructor.
-mpl.figure.prototype._make_on_message_function = function(fig) {
-    return function socket_on_message(evt) {
-        if (evt.data instanceof Blob) {
-            /* FIXME: We get "Resource interpreted as Image but
-             * transferred with MIME type text/plain:" errors on
-             * Chrome.  But how to set the MIME type?  It doesn't seem
-             * to be part of the websocket stream */
-            evt.data.type = "image/png";
-
-            /* Free the memory for the previous frames */
-            if (fig.imageObj.src) {
-                (window.URL || window.webkitURL).revokeObjectURL(
-                    fig.imageObj.src);
-            }
-
-            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
-                evt.data);
-            fig.updated_canvas_event();
-            return;
-        }
-        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
-            fig.imageObj.src = evt.data;
-            fig.updated_canvas_event();
-            return;
-        }
-
-        var msg = JSON.parse(evt.data);
-        var msg_type = msg['type'];
-
-        // Call the  "handle_{type}" callback, which takes
-        // the figure and JSON message as its only arguments.
-        try {
-            var callback = fig["handle_" + msg_type];
-        } catch (e) {
-            console.log("No handler for the '" + msg_type + "' message type: ", msg);
-            return;
-        }
-
-        if (callback) {
-            try {
-                // console.log("Handling '" + msg_type + "' message: ", msg);
-                callback(fig, msg);
-            } catch (e) {
-                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
-            }
-        }
-    };
-}
-
-// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
-mpl.findpos = function(e) {
-    //this section is from http://www.quirksmode.org/js/events_properties.html
-    var targ;
-    if (!e)
-        e = window.event;
-    if (e.target)
-        targ = e.target;
-    else if (e.srcElement)
-        targ = e.srcElement;
-    if (targ.nodeType == 3) // defeat Safari bug
-        targ = targ.parentNode;
-
-    // jQuery normalizes the pageX and pageY
-    // pageX,Y are the mouse positions relative to the document
-    // offset() returns the position of the element relative to the document
-    var x = e.pageX - $(targ).offset().left;
-    var y = e.pageY - $(targ).offset().top;
-
-    return {"x": x, "y": y};
-};
-
-mpl.figure.prototype.mouse_event = function(event, name) {
-    var canvas_pos = mpl.findpos(event)
-
-    if (this.focus_on_mouseover && name === 'motion_notify')
-    {
-        this.canvas.focus();
-    }
-
-    var x = canvas_pos.x;
-    var y = canvas_pos.y;
-
-    this.send_message(name, {x: x, y: y, button: event.button});
-
-    /* This prevents the web browser from automatically changing to
-     * the text insertion cursor when the button is pressed.  We want
-     * to control all of the cursor setting manually through the
-     * 'cursor' event from matplotlib */
-    event.preventDefault();
-    return false;
-}
-
-mpl.figure.prototype.key_event = function(event, name) {
-    /* Don't fire events just when a modifier is changed.  Modifiers are
-       sent along with other keys. */
-    if (event.keyCode >= 16 && event.keyCode <= 20) {
-        return;
-    }
-
-    value = '';
-    if (event.ctrlKey) {
-        value += "ctrl+";
-    }
-    if (event.altKey) {
-        value += "alt+";
-    }
-    value += String.fromCharCode(event.keyCode).toLowerCase();
-
-    this.send_message(name, {key: value});
-}
-
-mpl.figure.prototype.toolbar_button_onclick = function(name) {
-    if (name == 'download') {
-        var format_dropdown = this.format_dropdown;
-        var format = format_dropdown.options[format_dropdown.selectedIndex].value;
-        this.ondownload(this, format);
-    } else {
-        this.send_message("toolbar_button", {name: name});
-    }
-};
-
-mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
-    this.message.textContent = tooltip;
-};
-
-mpl.debounce_event = function(func, time){
-    var timer;
-    return function(event){
-        clearTimeout(timer);
-        timer = setTimeout(function(){ func(event); }, time);
-    };
-}
-
-mpl.debounce_resize = function(func, time){
-    var timer;
-    return function(event, ui){
-        clearTimeout(timer);
-        timer = setTimeout(function(){ func(event, ui); }, time);
-    };
-}
diff --git a/lib/matplotlib/backends/web_backend/nbagg_mpl.js b/lib/matplotlib/backends/web_backend/nbagg_mpl.js
deleted file mode 100644
index 71c52f9478b9..000000000000
--- a/lib/matplotlib/backends/web_backend/nbagg_mpl.js
+++ /dev/null
@@ -1,151 +0,0 @@
-var comm_websocket_adapter = function(comm) {
-    // Create a "websocket"-like object which calls the given IPython comm
-    // object with the appropriate methods. Currently this is a non binary
-    // socket, so there is still some room for performance tuning.
-    var ws = {};
-
-    ws.close = function() {
-        comm.close()
-    };
-    ws.send = function(m) {
-        //console.log('sending', m);
-        comm.send(m);
-    };
-    // Register the callback with on_msg.
-    comm.on_msg(function(msg) {
-        //console.log('receiving', msg['content']['data'], msg);
-        // Pass the mpl event to the overriden (by mpl) onmessage function.
-        ws.onmessage(msg['content']['data'])
-    });
-    return ws;
-}
-
-mpl.mpl_figure_comm = function(comm, msg) {
-    // This is the function which gets called when the mpl process
-    // starts-up an IPython Comm through the "matplotlib" channel.
-
-    var id = msg.content.data.id;
-    // Get hold of the div created by the display call when the Comm
-    // socket was opened in Python.
-    var element = $("#" + id);
-    var ws_proxy = comm_websocket_adapter(comm)
-
-    var fig = new mpl.figure(id, ws_proxy,
-                           function() { },
-                           element.get(0));
-
-    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
-    // web socket which is closed, not our websocket->open comm proxy.
-    ws_proxy.onopen();
-
-    fig.parent_element = element.get(0);
-    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
-
-    var output_index = fig.cell_info[2]
-    var cell = fig.cell_info[0];
-
-    // Disable right mouse context menu.
-    $(fig.rubberband_canvas).bind("contextmenu",function(e){
-        return false;
-    });
-
-};
-
-mpl.figure.prototype.handle_close = function(fig, msg) {
-    // Update the output cell to use the data from the current canvas.
-    fig.push_to_output();
-    var dataURL = fig.canvas.toDataURL();
-    // Re-enable the keyboard manager in IPython - without this line, in FF,
-    // the notebook keyboard shortcuts fail.
-    IPython.keyboard_manager.enable()
-    $(fig.parent_element).html('<img src="' + dataURL + '">');
-    fig.send_message('closing', {});
-    fig.ws.close()
-}
-
-mpl.figure.prototype.push_to_output = function(remove_interactive) {
-    // Turn the data on the canvas into data in the output cell.
-    var dataURL = this.canvas.toDataURL();
-    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '">';
-}
-
-mpl.figure.prototype.updated_canvas_event = function() {
-    // Tell IPython that the notebook contents must change.
-    IPython.notebook.set_dirty(true);
-    this.send_message("ack", {});
-    var fig = this;
-    // Wait a second, then push the new image to the DOM so
-    // that it is saved nicely (might be nice to debounce this).
-    setTimeout(function () { fig.push_to_output() }, 1000);
-}
-
-mpl.figure.prototype._init_toolbar = function() {
-    var fig = this;
-
-    var nav_element = $('<div/>')
-    nav_element.attr('style', 'width: 100%');
-    this.root.append(nav_element);
-
-    // Define a callback function for later on.
-    function toolbar_event(event) {
-        return fig.toolbar_button_onclick(event['data']);
-    }
-    function toolbar_mouse_event(event) {
-        return fig.toolbar_button_onmouseover(event['data']);
-    }
-
-    for(var toolbar_ind in mpl.toolbar_items){
-        var name = mpl.toolbar_items[toolbar_ind][0];
-        var tooltip = mpl.toolbar_items[toolbar_ind][1];
-        var image = mpl.toolbar_items[toolbar_ind][2];
-        var method_name = mpl.toolbar_items[toolbar_ind][3];
-
-        if (!name) { continue; };
-
-        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
-        button.click(method_name, toolbar_event);
-        button.mouseover(tooltip, toolbar_mouse_event);
-        nav_element.append(button);
-    }
-
-    // Add the status bar.
-    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
-    nav_element.append(status_bar);
-    this.message = status_bar[0];
-
-    // Add the close button to the window.
-    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
-    var button = $('<button class="btn btn-mini btn-danger" href="#" title="Close figure"><i class="fa fa-times icon-remove icon-large"></i></button>');
-    button.click(function (evt) { fig.handle_close(fig, {}); } );
-    button.mouseover('Close figure', toolbar_mouse_event);
-    buttongrp.append(button);
-    var titlebar = this.root.find($('.ui-dialog-titlebar'));
-    titlebar.prepend(buttongrp);
-}
-
-mpl.find_output_cell = function(html_output) {
-    // Return the cell and output element which can be found *uniquely* in the notebook.
-    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
-    // IPython event is triggered only after the cells have been serialised, which for
-    // our purposes (turning an active figure into a static one), is too late.
-    var cells = IPython.notebook.get_cells();
-    var ncells = cells.length;
-    for (var i=0; i<ncells; i++) {
-        var cell = cells[i];
-        if (cell.cell_type == 'code'){
-            for (var j=0; j<cell.output_area.outputs.length; j++) {
-                var data = cell.output_area.outputs[j];
-                if (cell.output_area.outputs[j]['text/html'] == html_output) {
-                    var output = cell.output_area.outputs[j];
-                    return [cell, output, j];
-                }
-            }
-        }
-    }
-}
-
-// Register the function which deals with the matplotlib target/channel.
-// The kernel may be null if the page has been refreshed.
-if (IPython.notebook.kernel != null) {
-    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
-}
diff --git a/lib/matplotlib/backends/web_backend/nbagg_uat.ipynb b/lib/matplotlib/backends/web_backend/nbagg_uat.ipynb
index 3601c1490643..e9fc62bc2883 100644
--- a/lib/matplotlib/backends/web_backend/nbagg_uat.ipynb
+++ b/lib/matplotlib/backends/web_backend/nbagg_uat.ipynb
@@ -1,392 +1,631 @@
 {
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from imp import reload"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## UAT for NbAgg backend.\n",
+    "\n",
+    "The first line simply reloads matplotlib, uses the nbagg backend and then reloads the backend, just to ensure we have the latest modification to the backend code. Note: The underlying JavaScript will not be updated by this process, so a refresh of the browser after clearing the output and saving is necessary to clear everything fully."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "reload(matplotlib)\n",
+    "\n",
+    "matplotlib.use('nbagg')\n",
+    "\n",
+    "import matplotlib.backends.backend_nbagg\n",
+    "reload(matplotlib.backends.backend_nbagg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 1 - Simple figure creation using pyplot\n",
+    "\n",
+    "Should produce a figure window which is interactive with the pan and zoom buttons. (Do not press the close button, but any others may be used)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.backends.backend_webagg_core\n",
+    "reload(matplotlib.backends.backend_webagg_core)\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.interactive(False)\n",
+    "\n",
+    "fig1 = plt.figure()\n",
+    "plt.plot(range(10))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 2 - Creation of another figure, without the need to do plt.figure.\n",
+    "\n",
+    "As above, a new figure should be created."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot([3, 2, 1])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 3 - Connection info\n",
+    "\n",
+    "The printout should show that there are two figures which have active CommSockets, and no figures pending show."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(matplotlib.backends.backend_nbagg.connection_info())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 4 - Closing figures\n",
+    "\n",
+    "Closing a specific figure instance should turn the figure into a plain image - the UI should have been removed. In this case, scroll back to the first figure and assert this is the case."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.close(fig1)\n",
+    "plt.close('all')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 5 - No show without plt.show in non-interactive mode\n",
+    "\n",
+    "Simply doing a plt.plot should not show a new figure, nor indeed update an existing one (easily verified in UAT 6).\n",
+    "The output should simply be a list of Line2D instances."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(range(10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 6 - Connection information\n",
+    "\n",
+    "We just created a new figure, but didn't show it. Connection info should no longer have \"Figure 1\" (as we closed it in UAT 4) and should have figure 2 and 3, with Figure 3 without any connections. There should be 1 figure pending."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(matplotlib.backends.backend_nbagg.connection_info())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 7 - Show of previously created figure\n",
+    "\n",
+    "We should be able to show a figure we've previously created. The following should produce two figure windows."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.show()\n",
+    "plt.figure()\n",
+    "plt.plot(range(5))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 8 - Interactive mode\n",
+    "\n",
+    "In interactive mode, creating a line should result in a figure being shown."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.interactive(True)\n",
+    "plt.figure()\n",
+    "plt.plot([3, 2, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Subsequent lines should be added to the existing figure, rather than creating a new one."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(range(3))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Calling connection_info in interactive mode should not show any pending figures."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(matplotlib.backends.backend_nbagg.connection_info())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Disable interactive mode again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.interactive(False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 9 - Multiple shows\n",
+    "\n",
+    "Unlike most of the other matplotlib backends, we may want to see a figure multiple times (with or without synchronisation between the views, though the former is not yet implemented). Assert that plt.gcf().canvas.manager.reshow() results in another figure window which is synchronised upon pan & zoom."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.gcf().canvas.manager.reshow()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 10 - Saving notebook\n",
+    "\n",
+    "Saving the notebook (with CTRL+S or File->Save) should result in the saved notebook having static versions of the figures embedded within. The image should be the last update from user interaction and interactive plotting. (check by converting with ``ipython nbconvert <notebook>``)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 11 - Creation of a new figure on second show\n",
+    "\n",
+    "Create a figure, show it, then create a new axes and show it. The result should be a new figure.\n",
+    "\n",
+    "**BUG: Sometimes this doesn't work - not sure why (@pelson).**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure()\n",
+    "plt.axes()\n",
+    "plt.show()\n",
+    "\n",
+    "plt.plot([1, 2, 3])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 12 - OO interface\n",
+    "\n",
+    "Should produce a new figure and plot it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib.backends.backend_nbagg import new_figure_manager,show\n",
+    "\n",
+    "manager = new_figure_manager(1000)\n",
+    "fig = manager.canvas.figure\n",
+    "ax = fig.add_subplot(1,1,1)\n",
+    "ax.plot([1,2,3])\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## UAT 13 - Animation\n",
+    "\n",
+    "The following should generate an animated line:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.animation as animation\n",
+    "import numpy as np\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "x = np.arange(0, 2*np.pi, 0.01)        # x-array\n",
+    "line, = ax.plot(x, np.sin(x))\n",
+    "\n",
+    "def animate(i):\n",
+    "    line.set_ydata(np.sin(x+i/10.0))  # update the data\n",
+    "    return line,\n",
+    "\n",
+    "#Init only required for blitting to give a clean slate.\n",
+    "def init():\n",
+    "    line.set_ydata(np.ma.array(x, mask=True))\n",
+    "    return line,\n",
+    "\n",
+    "ani = animation.FuncAnimation(fig, animate, np.arange(1, 200), init_func=init,\n",
+    "                              interval=100., blit=True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 14 - Keyboard shortcuts in IPython after close of figure\n",
+    "\n",
+    "After closing the previous figure (with the close button above the figure) the IPython keyboard shortcuts should still function.\n",
+    "\n",
+    "### UAT 15 - Figure face colours\n",
+    "\n",
+    "The nbagg honours all colours apart from that of the figure.patch. The two plots below should produce a figure with a red background. There should be no yellow figure."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "matplotlib.rcParams.update({'figure.facecolor': 'red',\n",
+    "                            'savefig.facecolor': 'yellow'})\n",
+    "plt.figure()\n",
+    "plt.plot([3, 2, 1])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 16 - Events\n",
+    "\n",
+    "Pressing any keyboard key or mouse button (or scrolling) should cycle the line while the figure has focus.  The figure should have focus by default when it is created and re-gain it by clicking on the canvas.  Clicking anywhere outside of the figure should release focus, but moving the mouse out of the figure should not release focus."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import itertools\n",
+    "fig, ax = plt.subplots()\n",
+    "x = np.linspace(0,10,10000)\n",
+    "y = np.sin(x)\n",
+    "ln, = ax.plot(x,y)\n",
+    "evt = []\n",
+    "colors = iter(itertools.cycle(['r', 'g', 'b', 'k', 'c']))\n",
+    "def on_event(event):\n",
+    "    if event.name.startswith('key'):\n",
+    "        fig.suptitle('%s: %s' % (event.name, event.key))\n",
+    "    elif event.name == 'scroll_event':\n",
+    "        fig.suptitle('%s: %s' % (event.name, event.step))\n",
+    "    else:\n",
+    "        fig.suptitle('%s: %s' % (event.name, event.button))\n",
+    "    evt.append(event)\n",
+    "    ln.set_color(next(colors))\n",
+    "    fig.canvas.draw()\n",
+    "    fig.canvas.draw_idle()\n",
+    "\n",
+    "fig.canvas.mpl_connect('button_press_event', on_event)\n",
+    "fig.canvas.mpl_connect('button_release_event', on_event)\n",
+    "fig.canvas.mpl_connect('scroll_event', on_event)\n",
+    "fig.canvas.mpl_connect('key_press_event', on_event)\n",
+    "fig.canvas.mpl_connect('key_release_event', on_event)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 17 - Timers\n",
+    "\n",
+    "Single-shot timers follow a completely different code path in the nbagg backend than regular timers (such as those used in the animation example above.)  The next set of tests ensures that both \"regular\" and \"single-shot\" timers work properly.\n",
+    "\n",
+    "The following should show a simple clock that updates twice a second:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import time\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "text = ax.text(0.5, 0.5, '', ha='center')\n",
+    "\n",
+    "def update(text):\n",
+    "    text.set(text=time.ctime())\n",
+    "    text.axes.figure.canvas.draw()\n",
+    "    \n",
+    "timer = fig.canvas.new_timer(500, [(update, [text], {})])\n",
+    "timer.start()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "However, the following should only update once and then stop:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "text = ax.text(0.5, 0.5, '', ha='center') \n",
+    "timer = fig.canvas.new_timer(500, [(update, [text], {})])\n",
+    "\n",
+    "timer.single_shot = True\n",
+    "timer.start()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And the next two examples should never show any visible text at all:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "text = ax.text(0.5, 0.5, '', ha='center')\n",
+    "timer = fig.canvas.new_timer(500, [(update, [text], {})])\n",
+    "\n",
+    "timer.start()\n",
+    "timer.stop()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "text = ax.text(0.5, 0.5, '', ha='center')\n",
+    "timer = fig.canvas.new_timer(500, [(update, [text], {})])\n",
+    "\n",
+    "timer.single_shot = True\n",
+    "timer.start()\n",
+    "timer.stop()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### UAT 18 - stopping figure when removed from DOM\n",
+    "\n",
+    "When the div that contains from the figure is removed from the DOM the figure should shut down it's comm, and if the python-side figure has no more active comms, it should destroy the figure. Repeatedly running the cell below should always have the same figure number"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(range(5))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Running the cell below will re-show the figure. After this, re-running the cell above should result in a new figure number."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig.canvas.manager.reshow()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "### UAT 19 - Blitting\n",
+    "\n",
+    "Clicking on the figure should plot a green horizontal line moving up the axes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import itertools\n",
+    "\n",
+    "cnt = itertools.count()\n",
+    "bg = None\n",
+    "\n",
+    "def onclick_handle(event):\n",
+    "    \"\"\"Should draw elevating green line on each mouse click\"\"\"\n",
+    "    global bg\n",
+    "    if bg is None:\n",
+    "        bg = ax.figure.canvas.copy_from_bbox(ax.bbox) \n",
+    "    ax.figure.canvas.restore_region(bg)\n",
+    "\n",
+    "    cur_y = (next(cnt) % 10) * 0.1\n",
+    "    ln.set_ydata([cur_y, cur_y])\n",
+    "    ax.draw_artist(ln)\n",
+    "    ax.figure.canvas.blit(ax.bbox)\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot([0, 1], [0, 1], 'r')\n",
+    "ln, = ax.plot([0, 1], [0, 0], 'g', animated=True)\n",
+    "plt.show()\n",
+    "ax.figure.canvas.draw()\n",
+    "\n",
+    "ax.figure.canvas.mpl_connect('button_press_event', onclick_handle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
-  "name": "",
-  "signature": "sha256:1d491e506b54b126f6971897d3249a9e6f96f9d50bf4e4ba8d179c6b7b1aefa8"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "## UAT for NbAgg backend.\n",
-      "\n",
-      "The first line simply reloads matplotlib, uses the nbagg backend and then reloads the backend, just to ensure we have the latest modification to the backend code. Note: The underlying JavaScript will not be updated by this process, so a refresh of the browser after clearing the output and saving is necessary to clear everything fully."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import matplotlib\n",
-      "reload(matplotlib)\n",
-      "\n",
-      "matplotlib.use('nbagg')\n",
-      "\n",
-      "import matplotlib.backends.backend_nbagg\n",
-      "reload(matplotlib.backends.backend_nbagg)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 1 - Simple figure creation using pyplot\n",
-      "\n",
-      "Should produce a figure window which is interactive with the pan and zoom buttons. (Do not press the close button, but any others may be used)."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import matplotlib.backends.backend_webagg_core\n",
-      "reload(matplotlib.backends.backend_webagg_core)\n",
-      "\n",
-      "import matplotlib.pyplot as plt\n",
-      "plt.interactive(False)\n",
-      "\n",
-      "fig1 = plt.figure()\n",
-      "plt.plot(range(10))\n",
-      "\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 2 - Creation of another figure, without the need to do plt.figure.\n",
-      "\n",
-      "As above, a new figure should be created."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.plot([3, 2, 1])\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 3 - Connection info\n",
-      "\n",
-      "The printout should show that there are two figures which have active CommSockets, and no figures pending show."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print(matplotlib.backends.backend_nbagg.connection_info())"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 4 - Closing figures\n",
-      "\n",
-      "Closing a specific figure instance should turn the figure into a plain image - the UI should have been removed. In this case, scroll back to the first figure and assert this is the case."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.close(fig1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 5 - No show without plt.show in non-interactive mode\n",
-      "\n",
-      "Simply doing a plt.plot should not show a new figure, nor indeed update an existing one (easily verified in UAT 6).\n",
-      "The output should simply be a list of Line2D instances."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.plot(range(10))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 6 - Connection information\n",
-      "\n",
-      "We just created a new figure, but didn't show it. Connection info should no longer have \"Figure 1\" (as we closed it in UAT 4) and should have figure 2 and 3, with Figure 3 without any connections. There should be 1 figure pending."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "print matplotlib.backends.backend_nbagg.connection_info()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 7 - Show of previously created figure\n",
-      "\n",
-      "We should be able to show a figure we've previously created. The following should produce two figure windows."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.show()\n",
-      "plt.figure()\n",
-      "plt.plot(range(5))\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 8 - Interactive mode\n",
-      "\n",
-      "In interactive mode, creating a line should result in a figure being shown."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.interactive(True)\n",
-      "plt.figure()\n",
-      "plt.plot([3, 2, 1])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Subsequent lines should be added to the existing figure, rather than creating a new one."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.plot(range(3))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "Disable interactive mode again."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.interactive(False)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 9 - Multiple shows\n",
-      "\n",
-      "Unlike most of the other matplotlib backends, we may want to see a figure multiple times (with or without synchronisation between the views, though the former is not yet implemented). Assert that plt.gcf().canvas.manager.reshow() results in another figure window which is synchronised upon pan & zoom."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plt.gcf().canvas.manager.reshow()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 10 - Saving notebook\n",
-      "\n",
-      "Saving the notebook (with CTRL+S or File->Save) should result in the saved notebook having static versions of the figues embedded within. The image should be the last update from user interaction and interactive plotting. (check by converting with ``ipython nbconvert <notebook>``)"
-     ]
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 11 - Creation of a new figure on second show\n",
-      "\n",
-      "Create a figure, show it, then create a new axes and show it. The result should be a new figure.\n",
-      "\n",
-      "**BUG: Sometimes this doesn't work - not sure why (@pelson).**"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "fig = plt.figure()\n",
-      "plt.axes()\n",
-      "plt.show()\n",
-      "\n",
-      "plt.plot([1, 2, 3])\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 12 - OO interface\n",
-      "\n",
-      "Should produce a new figure and plot it."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "from matplotlib.backends.backend_nbagg import new_figure_manager,show\n",
-      "\n",
-      "manager = new_figure_manager(1000)\n",
-      "fig = manager.canvas.figure\n",
-      "ax = fig.add_subplot(1,1,1)\n",
-      "ax.plot([1,2,3])\n",
-      "fig.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "## UAT 13 - Animation\n",
-      "\n",
-      "The following should generate an animated line:"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import matplotlib.animation as animation\n",
-      "import numpy as np\n",
-      "\n",
-      "fig, ax = plt.subplots()\n",
-      "\n",
-      "x = np.arange(0, 2*np.pi, 0.01)        # x-array\n",
-      "line, = ax.plot(x, np.sin(x))\n",
-      "\n",
-      "def animate(i):\n",
-      "    line.set_ydata(np.sin(x+i/10.0))  # update the data\n",
-      "    return line,\n",
-      "\n",
-      "#Init only required for blitting to give a clean slate.\n",
-      "def init():\n",
-      "    line.set_ydata(np.ma.array(x, mask=True))\n",
-      "    return line,\n",
-      "\n",
-      "ani = animation.FuncAnimation(fig, animate, np.arange(1, 200), init_func=init,\n",
-      "                              interval=32., blit=True)\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    },
-    {
-     "cell_type": "markdown",
-     "metadata": {},
-     "source": [
-      "### UAT 14 - Keyboard shortcuts in IPython after close of figure\n",
-      "\n",
-      "After closing the previous figure (with the close button above the figure) the IPython keyboard shortcuts should still function.\n",
-      "\n",
-      "### UAT 15 - Figure face colours\n",
-      "\n",
-      "The nbagg honours all colours appart from that of the figure.patch. The two plots below should produce a figure with a transparent background and a red background respectively (check the transparency by closing the figure, and dragging the resulting image over other content). There should be no yellow figure."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import matplotlib\n",
-      "matplotlib.rcParams.update({'figure.facecolor': 'red',\n",
-      "                            'savefig.facecolor': 'yellow'})\n",
-      "plt.figure()\n",
-      "plt.plot([3, 2, 1])\n",
-      "\n",
-      "with matplotlib.rc_context({'nbagg.transparent': False}):\n",
-      "    plt.figure()\n",
-      "\n",
-      "plt.plot([3, 2, 1])\n",
-      "plt.show()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    }
-   ],
-   "metadata": {}
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
   }
- ]
-}
\ No newline at end of file
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/lib/matplotlib/backends/web_backend/package.json b/lib/matplotlib/backends/web_backend/package.json
new file mode 100644
index 000000000000..95bd8fdf54e6
--- /dev/null
+++ b/lib/matplotlib/backends/web_backend/package.json
@@ -0,0 +1,18 @@
+{
+  "devDependencies": {
+    "eslint": "^6.8.0",
+    "eslint-config-prettier": "^6.10.1",
+    "prettier": "^2.0.2"
+  },
+  "scripts": {
+    "eslint": "eslint . --fix",
+    "eslint:check": "eslint .",
+    "lint": "npm run prettier && npm run eslint",
+    "lint:check": "npm run prettier:check && npm run eslint:check",
+    "prettier": "prettier --write \"**/*{.ts,.tsx,.js,.jsx,.css,.json}\"",
+    "prettier:check": "prettier --check \"**/*{.ts,.tsx,.js,.jsx,.css,.json}\""
+  },
+  "dependencies": {
+    "@jsxtools/resize-observer": "^1.0.4"
+  }
+}
diff --git a/lib/matplotlib/backends/web_backend/single_figure.html b/lib/matplotlib/backends/web_backend/single_figure.html
index a9b16d759bd2..ceaaab00669f 100644
--- a/lib/matplotlib/backends/web_backend/single_figure.html
+++ b/lib/matplotlib/backends/web_backend/single_figure.html
@@ -1,21 +1,30 @@
-<html>
+<!DOCTYPE html>
+<html lang="en">
   <head>
     <link rel="stylesheet" href="{{ prefix }}/_static/css/page.css" type="text/css">
-    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css" />
-    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css" />
-    <link rel="stylesheet" href="{{ prefix }}/_static/jquery/css/themes/base/jquery-ui.min.css" >
-    <script src="{{ prefix }}/_static/jquery/js/jquery-1.7.1.min.js"></script>
-    <script src="{{ prefix }}/_static/jquery/js/jquery-ui.min.js"></script>
-    <script src="{{ prefix }}/_static/mpl_tornado.js"></script>
-    <script src="{{ prefix }}/mpl.js"></script>
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/mpl.css" type="text/css">
+    <script src="{{ prefix }}/_static/js/mpl_tornado.js"></script>
+    <script src="{{ prefix }}/js/mpl.js"></script>
     <script>
-      $(document).ready(
-        function() {
+      function ready(fn) {
+        if (document.readyState != "loading") {
+          fn();
+        } else {
+          document.addEventListener("DOMContentLoaded", fn);
+        }
+      }
+
+      ready(
+        function () {
           var websocket_type = mpl.get_websocket_type();
-          var websocket = new websocket_type(
-              "{{ ws_uri }}" + {{ repr(str(fig_id)) }} + "/ws");
-	  var fig = new mpl.figure(
-              {{repr(str(fig_id))}}, websocket, mpl_ondownload, $('div#figure'));
+          var uri = "{{ ws_uri }}" + {{ str(fig_id) }} + "/ws";
+          if (window.location.protocol === 'https:') uri = uri.replace('ws:', 'wss:')
+          var websocket = new websocket_type(uri);
+          var fig = new mpl.figure(
+              {{ str(fig_id) }}, websocket, mpl_ondownload,
+              document.getElementById("figure"));
         }
       );
     </script>
diff --git a/lib/matplotlib/backends/windowing.py b/lib/matplotlib/backends/windowing.py
deleted file mode 100644
index 6c2e495906cb..000000000000
--- a/lib/matplotlib/backends/windowing.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""
-MS Windows-specific helper for the TkAgg backend.
-
-With rcParams['tk.window_focus'] default of False, it is
-effectively disabled.
-
-It uses a tiny C++ extension module to access MS Win functions.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib import rcParams
-
-try:
-    if not rcParams['tk.window_focus']:
-        raise ImportError
-    from matplotlib._windowing import GetForegroundWindow, SetForegroundWindow
-except ImportError:
-    def GetForegroundWindow():
-        return 0
-    def SetForegroundWindow(hwnd):
-        pass
-
-class FocusManager(object):
-    def __init__(self):
-        self._shellWindow = GetForegroundWindow()
-
-    def __del__(self):
-        SetForegroundWindow(self._shellWindow)
diff --git a/lib/matplotlib/bezier.py b/lib/matplotlib/bezier.py
index 8400edf6ef7e..b9b67c9a72d6 100644
--- a/lib/matplotlib/bezier.py
+++ b/lib/matplotlib/bezier.py
@@ -1,29 +1,39 @@
 """
-A module providing some utility functions regarding bezier path manipulation.
+A module providing some utility functions regarding Bézier path manipulation.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+from functools import lru_cache
+import math
+import warnings
 
 import numpy as np
-from matplotlib.path import Path
 
-from operator import xor
-import warnings
+from matplotlib import _api
+
+
+# same algorithm as 3.8's math.comb
+@np.vectorize
+@lru_cache(maxsize=128)
+def _comb(n, k):
+    if k > n:
+        return 0
+    k = min(k, n - k)
+    i = np.arange(1, k + 1)
+    return np.prod((n + 1 - i)/i).astype(int)
 
 
 class NonIntersectingPathException(ValueError):
     pass
 
+
 # some functions
 
 
 def get_intersection(cx1, cy1, cos_t1, sin_t1,
                      cx2, cy2, cos_t2, sin_t2):
-    """ return a intersecting point between a line through (cx1, cy1)
-    and having angle t1 and a line through (cx2, cy2) and angle t2.
+    """
+    Return the intersection between the line through (*cx1*, *cy1*) at angle
+    *t1* and the line through (*cx2*, *cy2*) at angle *t2*.
     """
 
     # line1 => sin_t1 * (x - cx1) - cos_t1 * (y - cy1) = 0.
@@ -37,13 +47,14 @@ def get_intersection(cx1, cy1, cos_t1, sin_t1,
     c, d = sin_t2, -cos_t2
 
     ad_bc = a * d - b * c
-    if ad_bc == 0.:
-        raise ValueError("Given lines do not intersect")
+    if abs(ad_bc) < 1e-12:
+        raise ValueError("Given lines do not intersect. Please verify that "
+                         "the angles are not equal or differ by 180 degrees.")
 
     # rhs_inverse
     a_, b_ = d, -b
     c_, d_ = -c, a
-    a_, b_, c_, d_ = [k / ad_bc for k in [a_, b_, c_, d_]]
+    a_, b_, c_, d_ = (k / ad_bc for k in [a_, b_, c_, d_])
 
     x = a_ * line1_rhs + b_ * line2_rhs
     y = c_ * line1_rhs + d_ * line2_rhs
@@ -53,7 +64,7 @@ def get_intersection(cx1, cy1, cos_t1, sin_t1,
 
 def get_normal_points(cx, cy, cos_t, sin_t, length):
     """
-    For a line passing through (*cx*, *cy*) and having a angle *t*, return
+    For a line passing through (*cx*, *cy*) and having an angle *t*, return
     locations of the two points located along its perpendicular line at the
     distance of *length*.
     """
@@ -82,9 +93,9 @@ def _de_casteljau1(beta, t):
 
 
 def split_de_casteljau(beta, t):
-    """split a bezier segment defined by its controlpoints *beta*
-    into two separate segment divided at *t* and return their control points.
-
+    """
+    Split a Bézier segment defined by its control points *beta* into two
+    separate segments divided at *t* and return their control points.
     """
     beta = np.asarray(beta)
     beta_list = [beta]
@@ -99,41 +110,58 @@ def split_de_casteljau(beta, t):
     return left_beta, right_beta
 
 
-# FIXME spelling mistake in the name of the parameter ``tolerence``
-def find_bezier_t_intersecting_with_closedpath(bezier_point_at_t,
-                                               inside_closedpath,
-                                               t0=0., t1=1., tolerence=0.01):
-    """ Find a parameter t0 and t1 of the given bezier path which
-    bounds the intersecting points with a provided closed
-    path(*inside_closedpath*). Search starts from *t0* and *t1* and it
-    uses a simple bisecting algorithm therefore one of the end point
-    must be inside the path while the orther doesn't. The search stop
-    when |t0-t1| gets smaller than the given tolerence.
-    value for
+def find_bezier_t_intersecting_with_closedpath(
+        bezier_point_at_t, inside_closedpath, t0=0., t1=1., tolerance=0.01):
+    """
+    Find the intersection of the Bézier curve with a closed path.
+
+    The intersection point *t* is approximated by two parameters *t0*, *t1*
+    such that *t0* <= *t* <= *t1*.
 
-    - bezier_point_at_t : a function which returns x, y coordinates at *t*
+    Search starts from *t0* and *t1* and uses a simple bisecting algorithm
+    therefore one of the end points must be inside the path while the other
+    doesn't. The search stops when the distance of the points parametrized by
+    *t0* and *t1* gets smaller than the given *tolerance*.
 
-    - inside_closedpath : return True if the point is insed the path
+    Parameters
+    ----------
+    bezier_point_at_t : callable
+        A function returning x, y coordinates of the Bézier at parameter *t*.
+        It must have the signature::
 
-    """
-    # inside_closedpath : function
+            bezier_point_at_t(t: float) -> tuple[float, float]
+
+    inside_closedpath : callable
+        A function returning True if a given point (x, y) is inside the
+        closed path. It must have the signature::
+
+            inside_closedpath(point: tuple[float, float]) -> bool
+
+    t0, t1 : float
+        Start parameters for the search.
 
+    tolerance : float
+        Maximal allowed distance between the final points.
+
+    Returns
+    -------
+    t0, t1 : float
+        The Bézier path parameters.
+    """
     start = bezier_point_at_t(t0)
     end = bezier_point_at_t(t1)
 
     start_inside = inside_closedpath(start)
     end_inside = inside_closedpath(end)
 
-    if not xor(start_inside, end_inside):
+    if start_inside == end_inside and start != end:
         raise NonIntersectingPathException(
-            "the segment does not seem to intersect with the path"
-        )
+            "Both points are on the same side of the closed path")
 
-    while 1:
+    while True:
 
-        # return if the distance is smaller than the tolerence
-        if (start[0] - end[0]) ** 2 + \
-           (start[1] - end[1]) ** 2 < tolerence ** 2:
+        # return if the distance is smaller than the tolerance
+        if np.hypot(start[0] - end[0], start[1] - end[1]) < tolerance:
             return t0, t1
 
         # calculate the middle point
@@ -141,117 +169,202 @@ def find_bezier_t_intersecting_with_closedpath(bezier_point_at_t,
         middle = bezier_point_at_t(middle_t)
         middle_inside = inside_closedpath(middle)
 
-        if xor(start_inside, middle_inside):
+        if start_inside ^ middle_inside:
             t1 = middle_t
+            if end == middle:
+                # Edge case where infinite loop is possible
+                # Caused by large numbers relative to tolerance
+                return t0, t1
             end = middle
-            end_inside = middle_inside
         else:
             t0 = middle_t
+            if start == middle:
+                # Edge case where infinite loop is possible
+                # Caused by large numbers relative to tolerance
+                return t0, t1
             start = middle
             start_inside = middle_inside
 
 
-class BezierSegment(object):
-    """
-    A simple class of a 2-dimensional bezier segment
+class BezierSegment:
     """
+    A d-dimensional Bézier segment.
 
-    # Higher order bezier lines can be supported by simplying adding
-    # corresponding values.
-    _binom_coeff = {1: np.array([1., 1.]),
-                    2: np.array([1., 2., 1.]),
-                    3: np.array([1., 3., 3., 1.])}
+    A BezierSegment can be called with an argument, either a scalar or an array-like
+    object, to evaluate the curve at that/those location(s).
+
+    Parameters
+    ----------
+    control_points : (N, d) array
+        Location of the *N* control points.
+    """
 
     def __init__(self, control_points):
+        self._cpoints = np.asarray(control_points)
+        self._N, self._d = self._cpoints.shape
+        self._orders = np.arange(self._N)
+        coeff = [math.factorial(self._N - 1)
+                 // (math.factorial(i) * math.factorial(self._N - 1 - i))
+                 for i in range(self._N)]
+        self._px = (self._cpoints.T * coeff).T
+
+    def __call__(self, t):
         """
-        *control_points* : location of contol points. It needs have a
-         shpae of n * 2, where n is the order of the bezier line. 1<=
-         n <= 3 is supported.
-        """
-        _o = len(control_points)
-        self._orders = np.arange(_o)
-        _coeff = BezierSegment._binom_coeff[_o - 1]
+        Evaluate the Bézier curve at point(s) *t* in [0, 1].
 
-        _control_points = np.asarray(control_points)
-        xx = _control_points[:, 0]
-        yy = _control_points[:, 1]
+        Parameters
+        ----------
+        t : (k,) array-like
+            Points at which to evaluate the curve.
 
-        self._px = xx * _coeff
-        self._py = yy * _coeff
+        Returns
+        -------
+        (k, d) array
+            Value of the curve for each point in *t*.
+        """
+        t = np.asarray(t)
+        return (np.power.outer(1 - t, self._orders[::-1])
+                * np.power.outer(t, self._orders)) @ self._px
 
+    @_api.deprecated(
+        "3.11", alternative="Call the BezierSegment object with an argument.")
     def point_at_t(self, t):
-        "evaluate a point at t"
-        one_minus_t_powers = np.power(1. - t, self._orders)[::-1]
-        t_powers = np.power(t, self._orders)
+        """
+        Evaluate the curve at a single point, returning a tuple of *d* floats.
+        """
+        return tuple(self(t))
 
-        tt = one_minus_t_powers * t_powers
-        _x = sum(tt * self._px)
-        _y = sum(tt * self._py)
+    @property
+    def control_points(self):
+        """The control points of the curve."""
+        return self._cpoints
 
-        return _x, _y
+    @property
+    def dimension(self):
+        """The dimension of the curve."""
+        return self._d
 
+    @property
+    def degree(self):
+        """Degree of the polynomial. One less the number of control points."""
+        return self._N - 1
 
-def split_bezier_intersecting_with_closedpath(bezier,
-                                              inside_closedpath,
-                                              tolerence=0.01):
+    @property
+    def polynomial_coefficients(self):
+        r"""
+        The polynomial coefficients of the Bézier curve.
 
-    """
-    bezier : control points of the bezier segment
-    inside_closedpath : a function which returns true if the point is inside
-                        the path
-    """
+        .. warning:: Follows opposite convention from `numpy.polyval`.
 
-    bz = BezierSegment(bezier)
-    bezier_point_at_t = bz.point_at_t
+        Returns
+        -------
+        (n+1, d) array
+            Coefficients after expanding in polynomial basis, where :math:`n`
+            is the degree of the Bézier curve and :math:`d` its dimension.
+            These are the numbers (:math:`C_j`) such that the curve can be
+            written :math:`\sum_{j=0}^n C_j t^j`.
 
-    t0, t1 = find_bezier_t_intersecting_with_closedpath(bezier_point_at_t,
-                                                        inside_closedpath,
-                                                        tolerence=tolerence)
+        Notes
+        -----
+        The coefficients are calculated as
 
-    _left, _right = split_de_casteljau(bezier, (t0 + t1) / 2.)
-    return _left, _right
+        .. math::
 
+            {n \choose j} \sum_{i=0}^j (-1)^{i+j} {j \choose i} P_i
 
-def find_r_to_boundary_of_closedpath(inside_closedpath, xy,
-                                     cos_t, sin_t,
-                                     rmin=0., rmax=1., tolerence=0.01):
+        where :math:`P_i` are the control points of the curve.
+        """
+        n = self.degree
+        # matplotlib uses n <= 4. overflow plausible starting around n = 15.
+        if n > 10:
+            warnings.warn("Polynomial coefficients formula unstable for high "
+                          "order Bezier curves!", RuntimeWarning)
+        P = self.control_points
+        j = np.arange(n+1)[:, None]
+        i = np.arange(n+1)[None, :]  # _comb is non-zero for i <= j
+        prefactor = (-1)**(i + j) * _comb(j, i)  # j on axis 0, i on axis 1
+        return _comb(n, j) * prefactor @ P  # j on axis 0, self.dimension on 1
+
+    def axis_aligned_extrema(self):
+        """
+        Return the dimension and location of the curve's interior extrema.
+
+        The extrema are the points along the curve where one of its partial
+        derivatives is zero.
+
+        Returns
+        -------
+        dims : array of int
+            Index :math:`i` of the partial derivative which is zero at each
+            interior extrema.
+        dzeros : array of float
+            Of same size as dims. The :math:`t` such that :math:`d/dx_i B(t) =
+            0`
+        """
+        n = self.degree
+        if n <= 1:
+            return np.array([]), np.array([])
+        Cj = self.polynomial_coefficients
+        dCj = np.arange(1, n+1)[:, None] * Cj[1:]
+        dims = []
+        roots = []
+        for i, pi in enumerate(dCj.T):
+            r = np.roots(pi[::-1])
+            roots.append(r)
+            dims.append(np.full_like(r, i))
+        roots = np.concatenate(roots)
+        dims = np.concatenate(dims)
+        in_range = np.isreal(roots) & (roots >= 0) & (roots <= 1)
+        return dims[in_range], np.real(roots)[in_range]
+
+
+def split_bezier_intersecting_with_closedpath(
+        bezier, inside_closedpath, tolerance=0.01):
     """
-    Find a radius r (centered at *xy*) between *rmin* and *rmax* at
-    which it intersect with the path.
-
-    inside_closedpath : function
-    cx, cy : center
-    cos_t, sin_t : cosine and sine for the angle
-    rmin, rmax :
+    Split a Bézier curve into two at the intersection with a closed path.
+
+    Parameters
+    ----------
+    bezier : (N, 2) array-like
+        Control points of the Bézier segment. See `.BezierSegment`.
+    inside_closedpath : callable
+        A function returning True if a given point (x, y) is inside the
+        closed path. See also `.find_bezier_t_intersecting_with_closedpath`.
+    tolerance : float
+        The tolerance for the intersection. See also
+        `.find_bezier_t_intersecting_with_closedpath`.
+
+    Returns
+    -------
+    left, right
+        Lists of control points for the two Bézier segments.
     """
 
-    cx, cy = xy
+    bz = BezierSegment(bezier)
 
-    def _f(r):
-        return cos_t * r + cx, sin_t * r + cy
+    t0, t1 = find_bezier_t_intersecting_with_closedpath(
+        lambda t: tuple(bz(t)), inside_closedpath, tolerance=tolerance)
+
+    _left, _right = split_de_casteljau(bezier, (t0 + t1) / 2.)
+    return _left, _right
 
-    find_bezier_t_intersecting_with_closedpath(_f, inside_closedpath,
-                                               t0=rmin, t1=rmax,
-                                               tolerence=tolerence)
 
 # matplotlib specific
 
 
-def split_path_inout(path, inside, tolerence=0.01, reorder_inout=False):
-    """ divide a path into two segment at the point where inside(x, y)
-    becomes False.
+def split_path_inout(path, inside, tolerance=0.01, reorder_inout=False):
     """
-
+    Divide a path into two segments at the point where ``inside(x, y)`` becomes
+    False.
+    """
+    from .path import Path
     path_iter = path.iter_segments()
 
     ctl_points, command = next(path_iter)
     begin_inside = inside(ctl_points[-2:])  # true if begin point is inside
 
-    bezier_path = None
     ctl_points_old = ctl_points
 
-    concat = np.concatenate
-
     iold = 0
     i = 1
 
@@ -259,18 +372,15 @@ def split_path_inout(path, inside, tolerence=0.01, reorder_inout=False):
         iold = i
         i += len(ctl_points) // 2
         if inside(ctl_points[-2:]) != begin_inside:
-            bezier_path = concat([ctl_points_old[-2:], ctl_points])
+            bezier_path = np.concatenate([ctl_points_old[-2:], ctl_points])
             break
-
         ctl_points_old = ctl_points
+    else:
+        raise ValueError("The path does not intersect with the patch")
 
-    if bezier_path is None:
-        raise ValueError("The path does not seem to intersect with the patch")
-
-    bp = list(zip(bezier_path[::2], bezier_path[1::2]))
-    left, right = split_bezier_intersecting_with_closedpath(bp,
-                                                            inside,
-                                                            tolerence)
+    bp = bezier_path.reshape((-1, 2))
+    left, right = split_bezier_intersecting_with_closedpath(
+        bp, inside, tolerance)
     if len(left) == 2:
         codes_left = [Path.LINETO]
         codes_right = [Path.MOVETO, Path.LINETO]
@@ -281,29 +391,37 @@ def split_path_inout(path, inside, tolerence=0.01, reorder_inout=False):
         codes_left = [Path.CURVE4, Path.CURVE4, Path.CURVE4]
         codes_right = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4]
     else:
-        raise ValueError()
+        raise AssertionError("This should never be reached")
 
     verts_left = left[1:]
     verts_right = right[:]
 
     if path.codes is None:
-        path_in = Path(concat([path.vertices[:i], verts_left]))
-        path_out = Path(concat([verts_right, path.vertices[i:]]))
+        path_in = Path(np.concatenate([path.vertices[:i], verts_left]))
+        path_out = Path(np.concatenate([verts_right, path.vertices[i:]]))
 
     else:
-        path_in = Path(concat([path.vertices[:iold], verts_left]),
-                       concat([path.codes[:iold], codes_left]))
+        path_in = Path(np.concatenate([path.vertices[:iold], verts_left]),
+                       np.concatenate([path.codes[:iold], codes_left]))
 
-        path_out = Path(concat([verts_right, path.vertices[i:]]),
-                        concat([codes_right, path.codes[i:]]))
+        path_out = Path(np.concatenate([verts_right, path.vertices[i:]]),
+                        np.concatenate([codes_right, path.codes[i:]]))
 
-    if reorder_inout and begin_inside is False:
+    if reorder_inout and not begin_inside:
         path_in, path_out = path_out, path_in
 
     return path_in, path_out
 
 
 def inside_circle(cx, cy, r):
+    """
+    Return a function that checks whether a point is in a circle with center
+    (*cx*, *cy*) and radius *r*.
+
+    The returned function has the signature::
+
+        f(xy: tuple[float, float]) -> bool
+    """
     r2 = r ** 2
 
     def _f(xy):
@@ -312,26 +430,42 @@ def _f(xy):
     return _f
 
 
-# quadratic bezier lines
+# quadratic Bezier lines
 
 def get_cos_sin(x0, y0, x1, y1):
     dx, dy = x1 - x0, y1 - y0
     d = (dx * dx + dy * dy) ** .5
+    # Account for divide by zero
+    if d == 0:
+        return 0.0, 0.0
     return dx / d, dy / d
 
 
-def check_if_parallel(dx1, dy1, dx2, dy2, tolerence=1.e-5):
-    """ returns
-       * 1 if two lines are parralel in same direction
-       * -1 if two lines are parralel in opposite direction
-       * 0 otherwise
+def check_if_parallel(dx1, dy1, dx2, dy2, tolerance=1.e-5):
+    """
+    Check if two lines are parallel.
+
+    Parameters
+    ----------
+    dx1, dy1, dx2, dy2 : float
+        The gradients *dy*/*dx* of the two lines.
+    tolerance : float
+        The angular tolerance in radians up to which the lines are considered
+        parallel.
+
+    Returns
+    -------
+    is_parallel
+        - 1 if two lines are parallel in same direction.
+        - -1 if two lines are parallel in opposite direction.
+        - False otherwise.
     """
     theta1 = np.arctan2(dx1, dy1)
     theta2 = np.arctan2(dx2, dy2)
-    dtheta = np.abs(theta1 - theta2)
-    if dtheta < tolerence:
+    dtheta = abs(theta1 - theta2)
+    if dtheta < tolerance:
         return 1
-    elif np.abs(dtheta - np.pi) < tolerence:
+    elif abs(dtheta - np.pi) < tolerance:
         return -1
     else:
         return False
@@ -339,14 +473,14 @@ def check_if_parallel(dx1, dy1, dx2, dy2, tolerence=1.e-5):
 
 def get_parallels(bezier2, width):
     """
-    Given the quadratic bezier control points *bezier2*, returns
-    control points of quadratic bezier lines roughly parallel to given
+    Given the quadratic Bézier control points *bezier2*, returns
+    control points of quadratic Bézier lines roughly parallel to given
     one separated by *width*.
     """
 
-    # The parallel bezier lines are constructed by following ways.
-    #  c1 and  c2 are contol points representing the begin and end of the
-    #  bezier line.
+    # The parallel Bezier lines are constructed by following ways.
+    #  c1 and c2 are control points representing the start and end of the
+    #  Bezier line.
     #  cm is the middle point
 
     c1x, c1y = bezier2[0]
@@ -357,19 +491,19 @@ def get_parallels(bezier2, width):
                                       cmx - c2x, cmy - c2y)
 
     if parallel_test == -1:
-        warnings.warn(
+        _api.warn_external(
             "Lines do not intersect. A straight line is used instead.")
         cos_t1, sin_t1 = get_cos_sin(c1x, c1y, c2x, c2y)
         cos_t2, sin_t2 = cos_t1, sin_t1
     else:
         # t1 and t2 is the angle between c1 and cm, cm, c2.  They are
-        # also a angle of the tangential line of the path at c1 and c2
+        # also an angle of the tangential line of the path at c1 and c2
         cos_t1, sin_t1 = get_cos_sin(c1x, c1y, cmx, cmy)
         cos_t2, sin_t2 = get_cos_sin(cmx, cmy, c2x, c2y)
 
     # find c1_left, c1_right which are located along the lines
-    # throught c1 and perpendicular to the tangential lines of the
-    # bezier path at a distance of width. Same thing for c2_left and
+    # through c1 and perpendicular to the tangential lines of the
+    # Bezier path at a distance of width. Same thing for c2_left and
     # c2_right with respect to c2.
     c1x_left, c1y_left, c1x_right, c1y_right = (
         get_normal_points(c1x, c1y, cos_t1, sin_t1, width)
@@ -378,28 +512,28 @@ def get_parallels(bezier2, width):
         get_normal_points(c2x, c2y, cos_t2, sin_t2, width)
     )
 
-    # find cm_left which is the intersectng point of a line through
-    # c1_left with angle t1 and a line throught c2_left with angle
+    # find cm_left which is the intersecting point of a line through
+    # c1_left with angle t1 and a line through c2_left with angle
     # t2. Same with cm_right.
-    if parallel_test != 0:
-        # a special case for a straight line, i.e., angle between two
-        # lines are smaller than some (arbitrtay) value.
-        cmx_left, cmy_left = (
-            0.5 * (c1x_left + c2x_left), 0.5 * (c1y_left + c2y_left)
-        )
-        cmx_right, cmy_right = (
-            0.5 * (c1x_right + c2x_right), 0.5 * (c1y_right + c2y_right)
-        )
-    else:
+    try:
         cmx_left, cmy_left = get_intersection(c1x_left, c1y_left, cos_t1,
                                               sin_t1, c2x_left, c2y_left,
                                               cos_t2, sin_t2)
-
         cmx_right, cmy_right = get_intersection(c1x_right, c1y_right, cos_t1,
                                                 sin_t1, c2x_right, c2y_right,
                                                 cos_t2, sin_t2)
+    except ValueError:
+        # Special case straight lines, i.e., angle between two lines is
+        # less than the threshold used by get_intersection (we don't use
+        # check_if_parallel as the threshold is not the same).
+        cmx_left, cmy_left = (
+            0.5 * (c1x_left + c2x_left), 0.5 * (c1y_left + c2y_left)
+        )
+        cmx_right, cmy_right = (
+            0.5 * (c1x_right + c2x_right), 0.5 * (c1y_right + c2y_right)
+        )
 
-    # the parralel bezier lines are created with control points of
+    # the parallel Bezier lines are created with control points of
     # [c1_left, cm_left, c2_left] and [c1_right, cm_right, c2_right]
     path_left = [(c1x_left, c1y_left),
                  (cmx_left, cmy_left),
@@ -412,20 +546,19 @@ def get_parallels(bezier2, width):
 
 
 def find_control_points(c1x, c1y, mmx, mmy, c2x, c2y):
-    """ Find control points of the bezier line throught c1, mm, c2. We
-    simply assume that c1, mm, c2 which have parametric value 0, 0.5, and 1.
     """
-
+    Find control points of the Bézier curve passing through (*c1x*, *c1y*),
+    (*mmx*, *mmy*), and (*c2x*, *c2y*), at parametric values 0, 0.5, and 1.
+    """
     cmx = .5 * (4 * mmx - (c1x + c2x))
     cmy = .5 * (4 * mmy - (c1y + c2y))
-
     return [(c1x, c1y), (cmx, cmy), (c2x, c2y)]
 
 
 def make_wedged_bezier2(bezier2, width, w1=1., wm=0.5, w2=0.):
     """
-    Being similar to get_parallels, returns control points of two quadrativ
-    bezier lines having a width roughly parralel to given one separated by
+    Being similar to `get_parallels`, returns control points of two quadratic
+    Bézier lines having a width roughly parallel to given one separated by
     *width*.
     """
 
@@ -434,14 +567,14 @@ def make_wedged_bezier2(bezier2, width, w1=1., wm=0.5, w2=0.):
     cmx, cmy = bezier2[1]
     c3x, c3y = bezier2[2]
 
-    # t1 and t2 is the anlge between c1 and cm, cm, c3.
-    # They are also a angle of the tangential line of the path at c1 and c3
+    # t1 and t2 is the angle between c1 and cm, cm, c3.
+    # They are also an angle of the tangential line of the path at c1 and c3
     cos_t1, sin_t1 = get_cos_sin(c1x, c1y, cmx, cmy)
     cos_t2, sin_t2 = get_cos_sin(cmx, cmy, c3x, c3y)
 
     # find c1_left, c1_right which are located along the lines
-    # throught c1 and perpendicular to the tangential lines of the
-    # bezier path at a distance of width. Same thing for c3_left and
+    # through c1 and perpendicular to the tangential lines of the
+    # Bezier path at a distance of width. Same thing for c3_left and
     # c3_right with respect to c3.
     c1x_left, c1y_left, c1x_right, c1y_right = (
         get_normal_points(c1x, c1y, cos_t1, sin_t1, width * w1)
@@ -471,35 +604,3 @@ def make_wedged_bezier2(bezier2, width, w1=1., wm=0.5, w2=0.):
                                      c3x_right, c3y_right)
 
     return path_left, path_right
-
-
-def make_path_regular(p):
-    """
-    fill in the codes if None.
-    """
-    c = p.codes
-    if c is None:
-        c = np.empty(p.vertices.shape[:1], "i")
-        c.fill(Path.LINETO)
-        c[0] = Path.MOVETO
-
-        return Path(p.vertices, c)
-    else:
-        return p
-
-
-def concatenate_paths(paths):
-    """
-    concatenate list of paths into a single path.
-    """
-
-    vertices = []
-    codes = []
-    for p in paths:
-        p = make_path_regular(p)
-        vertices.append(p.vertices)
-        codes.append(p.codes)
-
-    _path = Path(np.concatenate(vertices),
-                 np.concatenate(codes))
-    return _path
diff --git a/lib/matplotlib/bezier.pyi b/lib/matplotlib/bezier.pyi
new file mode 100644
index 000000000000..ad82b873affd
--- /dev/null
+++ b/lib/matplotlib/bezier.pyi
@@ -0,0 +1,74 @@
+from collections.abc import Callable
+from typing import Literal
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+from .path import Path
+
+class NonIntersectingPathException(ValueError): ...
+
+def get_intersection(
+    cx1: float,
+    cy1: float,
+    cos_t1: float,
+    sin_t1: float,
+    cx2: float,
+    cy2: float,
+    cos_t2: float,
+    sin_t2: float,
+) -> tuple[float, float]: ...
+def get_normal_points(
+    cx: float, cy: float, cos_t: float, sin_t: float, length: float
+) -> tuple[float, float, float, float]: ...
+def split_de_casteljau(beta: ArrayLike, t: float) -> tuple[np.ndarray, np.ndarray]: ...
+def find_bezier_t_intersecting_with_closedpath(
+    bezier_point_at_t: Callable[[float], tuple[float, float]],
+    inside_closedpath: Callable[[tuple[float, float]], bool],
+    t0: float = ...,
+    t1: float = ...,
+    tolerance: float = ...,
+) -> tuple[float, float]: ...
+
+# TODO make generic over d, the dimension? ndarraydim
+class BezierSegment:
+    def __init__(self, control_points: ArrayLike) -> None: ...
+    def __call__(self, t: ArrayLike) -> np.ndarray: ...
+    def point_at_t(self, t: float) -> tuple[float, ...]: ...
+    @property
+    def control_points(self) -> np.ndarray: ...
+    @property
+    def dimension(self) -> int: ...
+    @property
+    def degree(self) -> int: ...
+    @property
+    def polynomial_coefficients(self) -> np.ndarray: ...
+    def axis_aligned_extrema(self) -> tuple[np.ndarray, np.ndarray]: ...
+
+def split_bezier_intersecting_with_closedpath(
+    bezier: ArrayLike,
+    inside_closedpath: Callable[[tuple[float, float]], bool],
+    tolerance: float = ...,
+) -> tuple[np.ndarray, np.ndarray]: ...
+def split_path_inout(
+    path: Path,
+    inside: Callable[[tuple[float, float]], bool],
+    tolerance: float = ...,
+    reorder_inout: bool = ...,
+) -> tuple[Path, Path]: ...
+def inside_circle(
+    cx: float, cy: float, r: float
+) -> Callable[[tuple[float, float]], bool]: ...
+def get_cos_sin(x0: float, y0: float, x1: float, y1: float) -> tuple[float, float]: ...
+def check_if_parallel(
+    dx1: float, dy1: float, dx2: float, dy2: float, tolerance: float = ...
+) -> Literal[-1, False, 1]: ...
+def get_parallels(
+    bezier2: ArrayLike, width: float
+) -> tuple[list[tuple[float, float]], list[tuple[float, float]]]: ...
+def find_control_points(
+    c1x: float, c1y: float, mmx: float, mmy: float, c2x: float, c2y: float
+) -> list[tuple[float, float]]: ...
+def make_wedged_bezier2(
+    bezier2: ArrayLike, width: float, w1: float = ..., wm: float = ..., w2: float = ...
+) -> tuple[list[tuple[float, float]], list[tuple[float, float]]]: ...
diff --git a/lib/matplotlib/blocking_input.py b/lib/matplotlib/blocking_input.py
deleted file mode 100644
index 2ed22b918664..000000000000
--- a/lib/matplotlib/blocking_input.py
+++ /dev/null
@@ -1,374 +0,0 @@
-"""
-This provides several classes used for blocking interaction with figure
-windows:
-
-:class:`BlockingInput`
-    creates a callable object to retrieve events in a blocking way for
-    interactive sessions
-
-:class:`BlockingKeyMouseInput`
-    creates a callable object to retrieve key or mouse clicks in a blocking
-    way for interactive sessions.
-    Note: Subclass of BlockingInput. Used by waitforbuttonpress
-
-:class:`BlockingMouseInput`
-    creates a callable object to retrieve mouse clicks in a blocking way for
-    interactive sessions.
-    Note: Subclass of BlockingInput.  Used by ginput
-
-:class:`BlockingContourLabeler`
-    creates a callable object to retrieve mouse clicks in a blocking way that
-    will then be used to place labels on a ContourSet
-    Note: Subclass of BlockingMouseInput.  Used by clabel
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from matplotlib import verbose
-from matplotlib.cbook import is_sequence_of_strings
-import matplotlib.lines as mlines
-
-
-class BlockingInput(object):
-    """
-    Class that creates a callable object to retrieve events in a
-    blocking way.
-    """
-    def __init__(self, fig, eventslist=()):
-        self.fig = fig
-        assert is_sequence_of_strings(
-            eventslist), "Requires a sequence of event name strings"
-        self.eventslist = eventslist
-
-    def on_event(self, event):
-        """
-        Event handler that will be passed to the current figure to
-        retrieve events.
-        """
-        # Add a new event to list - using a separate function is
-        # overkill for the base class, but this is consistent with
-        # subclasses
-        self.add_event(event)
-
-        verbose.report("Event %i" % len(self.events))
-
-        # This will extract info from events
-        self.post_event()
-
-        # Check if we have enough events already
-        if len(self.events) >= self.n and self.n > 0:
-            self.fig.canvas.stop_event_loop()
-
-    def post_event(self):
-        """For baseclass, do nothing but collect events"""
-        pass
-
-    def cleanup(self):
-        """Disconnect all callbacks"""
-        for cb in self.callbacks:
-            self.fig.canvas.mpl_disconnect(cb)
-
-        self.callbacks = []
-
-    def add_event(self, event):
-        """For base class, this just appends an event to events."""
-        self.events.append(event)
-
-    def pop_event(self, index=-1):
-        """
-        This removes an event from the event list.  Defaults to
-        removing last event, but an index can be supplied.  Note that
-        this does not check that there are events, much like the
-        normal pop method.  If not events exist, this will throw an
-        exception.
-        """
-        self.events.pop(index)
-
-    def pop(self, index=-1):
-        self.pop_event(index)
-    pop.__doc__ = pop_event.__doc__
-
-    def __call__(self, n=1, timeout=30):
-        """
-        Blocking call to retrieve n events
-        """
-
-        assert isinstance(n, int), "Requires an integer argument"
-        self.n = n
-
-        self.events = []
-        self.callbacks = []
-
-        # Ensure that the figure is shown
-        self.fig.show()
-
-        # connect the events to the on_event function call
-        for n in self.eventslist:
-            self.callbacks.append(
-                self.fig.canvas.mpl_connect(n, self.on_event))
-
-        try:
-            # Start event loop
-            self.fig.canvas.start_event_loop(timeout=timeout)
-        finally:  # Run even on exception like ctrl-c
-            # Disconnect the callbacks
-            self.cleanup()
-
-        # Return the events in this case
-        return self.events
-
-
-class BlockingMouseInput(BlockingInput):
-    """
-    Class that creates a callable object to retrieve mouse clicks in a
-    blocking way.
-
-    This class will also retrieve keyboard clicks and treat them like
-    appropriate mouse clicks (delete and backspace are like mouse button 3,
-    enter is like mouse button 2 and all others are like mouse button 1).
-    """
-
-    button_add = 1
-    button_pop = 3
-    button_stop = 2
-
-    def __init__(self, fig, mouse_add=1, mouse_pop=3, mouse_stop=2):
-        BlockingInput.__init__(self, fig=fig,
-                               eventslist=('button_press_event',
-                                           'key_press_event'))
-        self.button_add = mouse_add
-        self.button_pop = mouse_pop
-        self.button_stop = mouse_stop
-
-    def post_event(self):
-        """
-        This will be called to process events
-        """
-        assert len(self.events) > 0, "No events yet"
-
-        if self.events[-1].name == 'key_press_event':
-            self.key_event()
-        else:
-            self.mouse_event()
-
-    def mouse_event(self):
-        '''Process a mouse click event'''
-
-        event = self.events[-1]
-        button = event.button
-
-        if button == self.button_pop:
-            self.mouse_event_pop(event)
-        elif button == self.button_stop:
-            self.mouse_event_stop(event)
-        else:
-            self.mouse_event_add(event)
-
-    def key_event(self):
-        '''
-        Process a key click event.  This maps certain keys to appropriate
-        mouse click events.
-        '''
-
-        event = self.events[-1]
-        if event.key is None:
-            # at least in mac os X gtk backend some key returns None.
-            return
-
-        key = event.key.lower()
-
-        if key in ['backspace', 'delete']:
-            self.mouse_event_pop(event)
-        elif key in ['escape', 'enter']:
-            # on windows XP and wxAgg, the enter key doesn't seem to register
-            self.mouse_event_stop(event)
-        else:
-            self.mouse_event_add(event)
-
-    def mouse_event_add(self, event):
-        """
-        Will be called for any event involving a button other than
-        button 2 or 3.  This will add a click if it is inside axes.
-        """
-        if event.inaxes:
-            self.add_click(event)
-        else:  # If not a valid click, remove from event list
-            BlockingInput.pop(self, -1)
-
-    def mouse_event_stop(self, event):
-        """
-        Will be called for any event involving button 2.
-        Button 2 ends blocking input.
-        """
-
-        # Remove last event just for cleanliness
-        BlockingInput.pop(self, -1)
-
-        # This will exit even if not in infinite mode.  This is
-        # consistent with MATLAB and sometimes quite useful, but will
-        # require the user to test how many points were actually
-        # returned before using data.
-        self.fig.canvas.stop_event_loop()
-
-    def mouse_event_pop(self, event):
-        """
-        Will be called for any event involving button 3.
-        Button 3 removes the last click.
-        """
-        # Remove this last event
-        BlockingInput.pop(self, -1)
-
-        # Now remove any existing clicks if possible
-        if len(self.events) > 0:
-            self.pop(event, -1)
-
-    def add_click(self, event):
-        """
-        This add the coordinates of an event to the list of clicks
-        """
-        self.clicks.append((event.xdata, event.ydata))
-
-        verbose.report("input %i: %f,%f" %
-                       (len(self.clicks), event.xdata, event.ydata))
-
-        # If desired plot up click
-        if self.show_clicks:
-            line = mlines.Line2D([event.xdata], [event.ydata],
-                                 marker='+', color='r')
-            event.inaxes.add_line(line)
-            self.marks.append(line)
-            self.fig.canvas.draw()
-
-    def pop_click(self, event, index=-1):
-        """
-        This removes a click from the list of clicks.  Defaults to
-        removing the last click.
-        """
-        self.clicks.pop(index)
-
-        if self.show_clicks:
-
-            mark = self.marks.pop(index)
-            mark.remove()
-
-            self.fig.canvas.draw()
-            # NOTE: I do NOT understand why the above 3 lines does not work
-            # for the keyboard backspace event on windows XP wxAgg.
-            # maybe event.inaxes here is a COPY of the actual axes?
-
-    def pop(self, event, index=-1):
-        """
-        This removes a click and the associated event from the object.
-        Defaults to removing the last click, but any index can be
-        supplied.
-        """
-        self.pop_click(event, index)
-        BlockingInput.pop(self, index)
-
-    def cleanup(self, event=None):
-        # clean the figure
-        if self.show_clicks:
-
-            for mark in self.marks:
-                mark.remove()
-            self.marks = []
-
-            self.fig.canvas.draw()
-
-        # Call base class to remove callbacks
-        BlockingInput.cleanup(self)
-
-    def __call__(self, n=1, timeout=30, show_clicks=True):
-        """
-        Blocking call to retrieve n coordinate pairs through mouse
-        clicks.
-        """
-        self.show_clicks = show_clicks
-        self.clicks = []
-        self.marks = []
-        BlockingInput.__call__(self, n=n, timeout=timeout)
-
-        return self.clicks
-
-
-class BlockingContourLabeler(BlockingMouseInput):
-    """
-    Class that creates a callable object that uses mouse clicks or key
-    clicks on a figure window to place contour labels.
-    """
-    def __init__(self, cs):
-        self.cs = cs
-        BlockingMouseInput.__init__(self, fig=cs.ax.figure)
-
-    def add_click(self, event):
-        self.button1(event)
-
-    def pop_click(self, event, index=-1):
-        self.button3(event)
-
-    def button1(self, event):
-        """
-        This will be called if an event involving a button other than
-        2 or 3 occcurs.  This will add a label to a contour.
-        """
-
-        # Shorthand
-        if event.inaxes == self.cs.ax:
-            self.cs.add_label_near(event.x, event.y, self.inline,
-                                   inline_spacing=self.inline_spacing,
-                                   transform=False)
-            self.fig.canvas.draw()
-        else:  # Remove event if not valid
-            BlockingInput.pop(self)
-
-    def button3(self, event):
-        """
-        This will be called if button 3 is clicked.  This will remove
-        a label if not in inline mode.  Unfortunately, if one is doing
-        inline labels, then there is currently no way to fix the
-        broken contour - once humpty-dumpty is broken, he can't be put
-        back together.  In inline mode, this does nothing.
-        """
-
-        if self.inline:
-            pass
-        else:
-            self.cs.pop_label()
-            self.cs.ax.figure.canvas.draw()
-
-    def __call__(self, inline, inline_spacing=5, n=-1, timeout=-1):
-        self.inline = inline
-        self.inline_spacing = inline_spacing
-
-        BlockingMouseInput.__call__(self, n=n, timeout=timeout,
-                                    show_clicks=False)
-
-
-class BlockingKeyMouseInput(BlockingInput):
-    """
-    Class that creates a callable object to retrieve a single mouse or
-    keyboard click
-    """
-    def __init__(self, fig):
-        BlockingInput.__init__(self, fig=fig, eventslist=(
-            'button_press_event', 'key_press_event'))
-
-    def post_event(self):
-        """
-        Determines if it is a key event
-        """
-        assert len(self.events) > 0, "No events yet"
-
-        self.keyormouse = self.events[-1].name == 'key_press_event'
-
-    def __call__(self, timeout=30):
-        """
-        Blocking call to retrieve a single mouse or key click
-        Returns True if key click, False if mouse, or None if timeout
-        """
-        self.keyormouse = None
-        BlockingInput.__call__(self, n=1, timeout=timeout)
-
-        return self.keyormouse
diff --git a/lib/matplotlib/category.py b/lib/matplotlib/category.py
new file mode 100644
index 000000000000..225c837006f7
--- /dev/null
+++ b/lib/matplotlib/category.py
@@ -0,0 +1,235 @@
+"""
+Plotting of string "category" data: ``plot(['d', 'f', 'a'], [1, 2, 3])`` will
+plot three points with x-axis values of 'd', 'f', 'a'.
+
+See :doc:`/gallery/lines_bars_and_markers/categorical_variables` for an
+example.
+
+The module uses Matplotlib's `matplotlib.units` mechanism to convert from
+strings to integers and provides a tick locator, a tick formatter, and the
+`.UnitData` class that creates and stores the string-to-integer mapping.
+"""
+
+from collections import OrderedDict
+import dateutil.parser
+import itertools
+import logging
+
+import numpy as np
+
+from matplotlib import _api, cbook, ticker, units
+
+
+_log = logging.getLogger(__name__)
+
+
+class StrCategoryConverter(units.ConversionInterface):
+    @staticmethod
+    def convert(value, unit, axis):
+        """
+        Convert strings in *value* to floats using mapping information stored
+        in the *unit* object.
+
+        Parameters
+        ----------
+        value : str or iterable
+            Value or list of values to be converted.
+        unit : `.UnitData`
+            An object mapping strings to integers.
+        axis : `~matplotlib.axis.Axis`
+            The axis on which the converted value is plotted.
+
+            .. note:: *axis* is unused.
+
+        Returns
+        -------
+        float or `~numpy.ndarray` of float
+        """
+        if unit is None:
+            raise ValueError(
+                'Missing category information for StrCategoryConverter; '
+                'this might be caused by unintendedly mixing categorical and '
+                'numeric data')
+        StrCategoryConverter._validate_unit(unit)
+        # dtype = object preserves numerical pass throughs
+        values = np.atleast_1d(np.array(value, dtype=object))
+        # force an update so it also does type checking
+        unit.update(values)
+        s = np.vectorize(unit._mapping.__getitem__, otypes=[float])(values)
+        return s if not cbook.is_scalar_or_string(value) else s[0]
+
+    @staticmethod
+    def axisinfo(unit, axis):
+        """
+        Set the default axis ticks and labels.
+
+        Parameters
+        ----------
+        unit : `.UnitData`
+            object string unit information for value
+        axis : `~matplotlib.axis.Axis`
+            axis for which information is being set
+
+            .. note:: *axis* is not used
+
+        Returns
+        -------
+        `~matplotlib.units.AxisInfo`
+            Information to support default tick labeling
+
+        """
+        StrCategoryConverter._validate_unit(unit)
+        # locator and formatter take mapping dict because
+        # args need to be pass by reference for updates
+        majloc = StrCategoryLocator(unit._mapping)
+        majfmt = StrCategoryFormatter(unit._mapping)
+        return units.AxisInfo(majloc=majloc, majfmt=majfmt)
+
+    @staticmethod
+    def default_units(data, axis):
+        """
+        Set and update the `~matplotlib.axis.Axis` units.
+
+        Parameters
+        ----------
+        data : str or iterable of str
+        axis : `~matplotlib.axis.Axis`
+            axis on which the data is plotted
+
+        Returns
+        -------
+        `.UnitData`
+            object storing string to integer mapping
+        """
+        # the conversion call stack is default_units -> axis_info -> convert
+        if axis.units is None:
+            axis.set_units(UnitData(data))
+        else:
+            axis.units.update(data)
+        return axis.units
+
+    @staticmethod
+    def _validate_unit(unit):
+        if not hasattr(unit, '_mapping'):
+            raise ValueError(
+                f'Provided unit "{unit}" is not valid for a categorical '
+                'converter, as it does not have a _mapping attribute.')
+
+
+class StrCategoryLocator(ticker.Locator):
+    """Tick at every integer mapping of the string data."""
+    def __init__(self, units_mapping):
+        """
+        Parameters
+        ----------
+        units_mapping : dict
+            Mapping of category names (str) to indices (int).
+        """
+        self._units = units_mapping
+
+    def __call__(self):
+        # docstring inherited
+        return list(self._units.values())
+
+    def tick_values(self, vmin, vmax):
+        # docstring inherited
+        return self()
+
+
+class StrCategoryFormatter(ticker.Formatter):
+    """String representation of the data at every tick."""
+    def __init__(self, units_mapping):
+        """
+        Parameters
+        ----------
+        units_mapping : dict
+            Mapping of category names (str) to indices (int).
+        """
+        self._units = units_mapping
+
+    def __call__(self, x, pos=None):
+        # docstring inherited
+        return self.format_ticks([x])[0]
+
+    def format_ticks(self, values):
+        # docstring inherited
+        r_mapping = {v: self._text(k) for k, v in self._units.items()}
+        return [r_mapping.get(round(val), '') for val in values]
+
+    @staticmethod
+    def _text(value):
+        """Convert text values into utf-8 or ascii strings."""
+        if isinstance(value, bytes):
+            value = value.decode(encoding='utf-8')
+        elif not isinstance(value, str):
+            value = str(value)
+        return value
+
+
+class UnitData:
+    def __init__(self, data=None):
+        """
+        Create mapping between unique categorical values and integer ids.
+
+        Parameters
+        ----------
+        data : iterable
+            sequence of string values
+        """
+        self._mapping = OrderedDict()
+        self._counter = itertools.count()
+        if data is not None:
+            self.update(data)
+
+    @staticmethod
+    def _str_is_convertible(val):
+        """
+        Helper method to check whether a string can be parsed as float or date.
+        """
+        try:
+            float(val)
+        except ValueError:
+            try:
+                dateutil.parser.parse(val)
+            except (ValueError, TypeError):
+                # TypeError if dateutil >= 2.8.1 else ValueError
+                return False
+        return True
+
+    def update(self, data):
+        """
+        Map new values to integer identifiers.
+
+        Parameters
+        ----------
+        data : iterable of str or bytes
+
+        Raises
+        ------
+        TypeError
+            If elements in *data* are neither str nor bytes.
+        """
+        data = np.atleast_1d(np.array(data, dtype=object))
+        # check if convertible to number:
+        convertible = True
+        for val in OrderedDict.fromkeys(data):
+            # OrderedDict just iterates over unique values in data.
+            _api.check_isinstance((str, bytes), value=val)
+            if convertible:
+                # this will only be called so long as convertible is True.
+                convertible = self._str_is_convertible(val)
+            if val not in self._mapping:
+                self._mapping[val] = next(self._counter)
+        if data.size and convertible:
+            _log.info('Using categorical units to plot a list of strings '
+                      'that are all parsable as floats or dates. If these '
+                      'strings should be plotted as numbers, cast to the '
+                      'appropriate data type before plotting.')
+
+
+# Register the converter with Matplotlib's unit framework
+# Intentionally set to a single instance
+units.registry[str] = \
+    units.registry[np.str_] = \
+    units.registry[bytes] = \
+    units.registry[np.bytes_] = StrCategoryConverter()
diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index ed38a9fc5da6..3100cc4da81d 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -1,448 +1,209 @@
 """
 A collection of utility functions and classes.  Originally, many
 (but not all) were from the Python Cookbook -- hence the name cbook.
-
-This module is safe to import from anywhere within matplotlib;
-it imports matplotlib only at runtime.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-from itertools import repeat
-
-import datetime
-import errno
-from functools import reduce
-import glob
+import collections
+import collections.abc
+import contextlib
+import functools
 import gzip
-import io
-import locale
+import itertools
+import math
+import operator
 import os
-import re
+from pathlib import Path
+import shlex
+import subprocess
 import sys
-import threading
 import time
 import traceback
 import types
-import warnings
-from weakref import ref, WeakKeyDictionary
+import weakref
 
 import numpy as np
-import numpy.ma as ma
 
+try:
+    from numpy.exceptions import VisibleDeprecationWarning  # numpy >= 1.25
+except ImportError:
+    from numpy import VisibleDeprecationWarning
 
-class MatplotlibDeprecationWarning(UserWarning):
-    """
-    A class for issuing deprecation warnings for Matplotlib users.
+import matplotlib
+from matplotlib import _api, _c_internal_utils
 
-    In light of the fact that Python builtin DeprecationWarnings are ignored
-    by default as of Python 2.7 (see link below), this class was put in to
-    allow for the signaling of deprecation, but via UserWarnings which are not
-    ignored by default.
 
-    http://docs.python.org/dev/whatsnew/2.7.html#the-future-for-python-2-x
+class _ExceptionInfo:
     """
-    pass
-
-mplDeprecation = MatplotlibDeprecationWarning
-
-
-def _generate_deprecation_message(since, message='', name='',
-                                  alternative='', pending=False,
-                                  obj_type='attribute'):
+    A class to carry exception information around.
 
-    if not message:
-        altmessage = ''
-
-        if pending:
-            message = (
-                'The %(func)s %(obj_type)s will be deprecated in a '
-                'future version.')
-        else:
-            message = (
-                'The %(func)s %(obj_type)s was deprecated in version '
-                '%(since)s.')
-        if alternative:
-            altmessage = ' Use %s instead.' % alternative
-
-        message = ((message % {
-            'func': name,
-            'name': name,
-            'alternative': alternative,
-            'obj_type': obj_type,
-            'since': since}) +
-            altmessage)
-
-    return message
-
-
-def warn_deprecated(
-        since, message='', name='', alternative='', pending=False,
-        obj_type='attribute'):
+    This is used to store and later raise exceptions. It's an alternative to
+    directly storing Exception instances that circumvents traceback-related
+    issues: caching tracebacks can keep user's objects in local namespaces
+    alive indefinitely, which can lead to very surprising memory issues for
+    users and result in incorrect tracebacks.
     """
-    Used to display deprecation warning in a standard way.
 
-    Parameters
-    ------------
-    since : str
-        The release at which this API became deprecated.
-
-    message : str, optional
-        Override the default deprecation message.  The format
-        specifier `%(func)s` may be used for the name of the function,
-        and `%(alternative)s` may be used in the deprecation message
-        to insert the name of an alternative to the deprecated
-        function.  `%(obj_type)` may be used to insert a friendly name
-        for the type of object being deprecated.
-
-    name : str, optional
-        The name of the deprecated function; if not provided the name
-        is automatically determined from the passed in function,
-        though this is useful in the case of renamed functions, where
-        the new function is just assigned to the name of the
-        deprecated function.  For example::
-
-            def new_function():
-                ...
-            oldFunction = new_function
-
-    alternative : str, optional
-        An alternative function that the user may use in place of the
-        deprecated function.  The deprecation warning will tell the user about
-        this alternative if provided.
-
-    pending : bool, optional
-        If True, uses a PendingDeprecationWarning instead of a
-        DeprecationWarning.
-
-    obj_type : str, optional
-        The object type being deprecated.
+    def __init__(self, cls, *args):
+        self._cls = cls
+        self._args = args
 
-    Examples
-    --------
+    @classmethod
+    def from_exception(cls, exc):
+        return cls(type(exc), *exc.args)
 
-        Basic example::
+    def to_exception(self):
+        return self._cls(*self._args)
 
-            # To warn of the deprecation of "matplotlib.name_of_module"
-            warn_deprecated('1.4.0', name='matplotlib.name_of_module',
-                            obj_type='module')
 
+def _get_running_interactive_framework():
     """
-    message = _generate_deprecation_message(
-        since, message, name, alternative, pending, obj_type)
+    Return the interactive framework whose event loop is currently running, if
+    any, or "headless" if no event loop can be started, or None.
 
-    warnings.warn(message, mplDeprecation, stacklevel=1)
+    Returns
+    -------
+    Optional[str]
+        One of the following values: "qt", "gtk3", "gtk4", "wx", "tk",
+        "macosx", "headless", ``None``.
+    """
+    # Use ``sys.modules.get(name)`` rather than ``name in sys.modules`` as
+    # entries can also have been explicitly set to None.
+    QtWidgets = (
+        sys.modules.get("PyQt6.QtWidgets")
+        or sys.modules.get("PySide6.QtWidgets")
+        or sys.modules.get("PyQt5.QtWidgets")
+        or sys.modules.get("PySide2.QtWidgets")
+    )
+    if QtWidgets and QtWidgets.QApplication.instance():
+        return "qt"
+    Gtk = sys.modules.get("gi.repository.Gtk")
+    if Gtk:
+        if Gtk.MAJOR_VERSION == 4:
+            from gi.repository import GLib
+            if GLib.main_depth():
+                return "gtk4"
+        if Gtk.MAJOR_VERSION == 3 and Gtk.main_level():
+            return "gtk3"
+    wx = sys.modules.get("wx")
+    if wx and wx.GetApp():
+        return "wx"
+    tkinter = sys.modules.get("tkinter")
+    if tkinter:
+        codes = {tkinter.mainloop.__code__, tkinter.Misc.mainloop.__code__}
+        for frame in sys._current_frames().values():
+            while frame:
+                if frame.f_code in codes:
+                    return "tk"
+                frame = frame.f_back
+        # Preemptively break reference cycle between locals and the frame.
+        del frame
+    macosx = sys.modules.get("matplotlib.backends._macosx")
+    if macosx and macosx.event_loop_is_running():
+        return "macosx"
+    if not _c_internal_utils.display_is_valid():
+        return "headless"
+    return None
+
+
+def _exception_printer(exc):
+    if _get_running_interactive_framework() in ["headless", None]:
+        raise exc
+    else:
+        traceback.print_exc()
 
 
-def deprecated(since, message='', name='', alternative='', pending=False,
-               obj_type='function'):
+class _StrongRef:
     """
-    Decorator to mark a function as deprecated.
-
-    Parameters
-    ------------
-    since : str
-        The release at which this API became deprecated.  This is
-        required.
-
-    message : str, optional
-        Override the default deprecation message.  The format
-        specifier `%(func)s` may be used for the name of the function,
-        and `%(alternative)s` may be used in the deprecation message
-        to insert the name of an alternative to the deprecated
-        function.  `%(obj_type)` may be used to insert a friendly name
-        for the type of object being deprecated.
-
-    name : str, optional
-        The name of the deprecated function; if not provided the name
-        is automatically determined from the passed in function,
-        though this is useful in the case of renamed functions, where
-        the new function is just assigned to the name of the
-        deprecated function.  For example::
-
-            def new_function():
-                ...
-            oldFunction = new_function
-
-    alternative : str, optional
-        An alternative function that the user may use in place of the
-        deprecated function.  The deprecation warning will tell the user about
-        this alternative if provided.
-
-    pending : bool, optional
-        If True, uses a PendingDeprecationWarning instead of a
-        DeprecationWarning.
-
-    Examples
-    --------
-
-        Basic example::
-
-            @deprecated('1.4.0')
-            def the_function_to_deprecate():
-                pass
-
+    Wrapper similar to a weakref, but keeping a strong reference to the object.
     """
-    def deprecate(func, message=message, name=name, alternative=alternative,
-                  pending=pending):
-        import functools
-        import textwrap
-
-        if isinstance(func, classmethod):
-            try:
-                func = func.__func__
-            except AttributeError:
-                # classmethods in Python2.6 and below lack the __func__
-                # attribute so we need to hack around to get it
-                method = func.__get__(None, object)
-                if hasattr(method, '__func__'):
-                    func = method.__func__
-                elif hasattr(method, 'im_func'):
-                    func = method.im_func
-                else:
-                    # Nothing we can do really...  just return the original
-                    # classmethod
-                    return func
-            is_classmethod = True
-        else:
-            is_classmethod = False
 
-        if not name:
-            name = func.__name__
+    def __init__(self, obj):
+        self._obj = obj
 
-        message = _generate_deprecation_message(
-            since, message, name, alternative, pending, obj_type)
-
-        @functools.wraps(func)
-        def deprecated_func(*args, **kwargs):
-            warnings.warn(message, mplDeprecation, stacklevel=2)
-
-            return func(*args, **kwargs)
-
-        old_doc = deprecated_func.__doc__
-        if not old_doc:
-            old_doc = ''
-        old_doc = textwrap.dedent(old_doc).strip('\n')
-        message = message.strip()
-        new_doc = (('\n.. deprecated:: %(since)s'
-                    '\n    %(message)s\n\n' %
-                    {'since': since, 'message': message}) + old_doc)
-        if not old_doc:
-            # This is to prevent a spurious 'unexected unindent' warning from
-            # docutils when the original docstring was blank.
-            new_doc += r'\ '
-
-        deprecated_func.__doc__ = new_doc
-
-        if is_classmethod:
-            deprecated_func = classmethod(deprecated_func)
-        return deprecated_func
-
-    return deprecate
-
-
-# On some systems, locale.getpreferredencoding returns None,
-# which can break unicode; and the sage project reports that
-# some systems have incorrect locale specifications, e.g.,
-# an encoding instead of a valid locale name.  Another
-# pathological case that has been reported is an empty string.
-
-# On some systems, getpreferredencoding sets the locale, which has
-# side effects.  Passing False eliminates those side effects.
+    def __call__(self):
+        return self._obj
 
-def unicode_safe(s):
-    import matplotlib
+    def __eq__(self, other):
+        return isinstance(other, _StrongRef) and self._obj == other._obj
 
-    if isinstance(s, bytes):
-        try:
-            preferredencoding = locale.getpreferredencoding(
-                matplotlib.rcParams['axes.formatter.use_locale']).strip()
-            if not preferredencoding:
-                preferredencoding = None
-        except (ValueError, ImportError, AttributeError):
-            preferredencoding = None
-
-        if preferredencoding is None:
-            return six.text_type(s)
-        else:
-            return six.text_type(s, preferredencoding)
-    return s
+    def __hash__(self):
+        return hash(self._obj)
 
 
-class converter(object):
+def _weak_or_strong_ref(func, callback):
     """
-    Base class for handling string -> python type with support for
-    missing values
+    Return a `WeakMethod` wrapping *func* if possible, else a `_StrongRef`.
     """
-    def __init__(self, missing='Null', missingval=None):
-        self.missing = missing
-        self.missingval = missingval
-
-    def __call__(self, s):
-        if s == self.missing:
-            return self.missingval
-        return s
-
-    def is_missing(self, s):
-        return not s.strip() or s == self.missing
-
-
-class tostr(converter):
-    'convert to string or None'
-    def __init__(self, missing='Null', missingval=''):
-        converter.__init__(self, missing=missing, missingval=missingval)
-
-
-class todatetime(converter):
-    'convert to a datetime or None'
-    def __init__(self, fmt='%Y-%m-%d', missing='Null', missingval=None):
-        'use a :func:`time.strptime` format string for conversion'
-        converter.__init__(self, missing, missingval)
-        self.fmt = fmt
-
-    def __call__(self, s):
-        if self.is_missing(s):
-            return self.missingval
-        tup = time.strptime(s, self.fmt)
-        return datetime.datetime(*tup[:6])
-
-
-class todate(converter):
-    'convert to a date or None'
-    def __init__(self, fmt='%Y-%m-%d', missing='Null', missingval=None):
-        'use a :func:`time.strptime` format string for conversion'
-        converter.__init__(self, missing, missingval)
-        self.fmt = fmt
-
-    def __call__(self, s):
-        if self.is_missing(s):
-            return self.missingval
-        tup = time.strptime(s, self.fmt)
-        return datetime.date(*tup[:3])
-
-
-class tofloat(converter):
-    'convert to a float or None'
-    def __init__(self, missing='Null', missingval=None):
-        converter.__init__(self, missing)
-        self.missingval = missingval
-
-    def __call__(self, s):
-        if self.is_missing(s):
-            return self.missingval
-        return float(s)
-
-
-class toint(converter):
-    'convert to an int or None'
-    def __init__(self, missing='Null', missingval=None):
-        converter.__init__(self, missing)
+    try:
+        return weakref.WeakMethod(func, callback)
+    except TypeError:
+        return _StrongRef(func)
 
-    def __call__(self, s):
-        if self.is_missing(s):
-            return self.missingval
-        return int(s)
 
+class _UnhashDict:
+    """
+    A minimal dict-like class that also supports unhashable keys, storing them
+    in a list of key-value pairs.
 
-class _BoundMethodProxy(object):
-    '''
-    Our own proxy object which enables weak references to bound and unbound
-    methods and arbitrary callables. Pulls information about the function,
-    class, and instance out of a bound method. Stores a weak reference to the
-    instance to support garbage collection.
+    This class only implements the interface needed for `CallbackRegistry`, and
+    tries to minimize the overhead for the hashable case.
+    """
 
-    @organization: IBM Corporation
-    @copyright: Copyright (c) 2005, 2006 IBM Corporation
-    @license: The BSD License
+    def __init__(self, pairs):
+        self._dict = {}
+        self._pairs = []
+        for k, v in pairs:
+            self[k] = v
 
-    Minor bugfixes by Michael Droettboom
-    '''
-    def __init__(self, cb):
+    def __setitem__(self, key, value):
         try:
-            try:
-                self.inst = ref(cb.im_self)
-            except TypeError:
-                self.inst = None
-            if six.PY3:
-                self.func = cb.__func__
-                self.klass = cb.__self__.__class__
+            self._dict[key] = value
+        except TypeError:
+            for i, (k, v) in enumerate(self._pairs):
+                if k == key:
+                    self._pairs[i] = (key, value)
+                    break
             else:
-                self.func = cb.im_func
-                self.klass = cb.im_class
-        except AttributeError:
-            self.inst = None
-            self.func = cb
-            self.klass = None
-
-    def __getstate__(self):
-        d = self.__dict__.copy()
-        # de-weak reference inst
-        inst = d['inst']
-        if inst is not None:
-            d['inst'] = inst()
-        return d
-
-    def __setstate__(self, statedict):
-        self.__dict__ = statedict
-        inst = statedict['inst']
-        # turn inst back into a weakref
-        if inst is not None:
-            self.inst = ref(inst)
-
-    def __call__(self, *args, **kwargs):
-        '''
-        Proxy for a call to the weak referenced object. Take
-        arbitrary params to pass to the callable.
-
-        Raises `ReferenceError`: When the weak reference refers to
-        a dead object
-        '''
-        if self.inst is not None and self.inst() is None:
-            raise ReferenceError
-        elif self.inst is not None:
-            # build a new instance method with a strong reference to the
-            # instance
-
-            mtd = types.MethodType(self.func, self.inst())
+                self._pairs.append((key, value))
 
-        else:
-            # not a bound method, just return the func
-            mtd = self.func
-        # invoke the callable and return the result
-        return mtd(*args, **kwargs)
+    def __getitem__(self, key):
+        try:
+            return self._dict[key]
+        except TypeError:
+            pass
+        for k, v in self._pairs:
+            if k == key:
+                return v
+        raise KeyError(key)
 
-    def __eq__(self, other):
-        '''
-        Compare the held function and instance with that held by
-        another proxy.
-        '''
+    def pop(self, key, *args):
         try:
-            if self.inst is None:
-                return self.func == other.func and other.inst is None
-            else:
-                return self.func == other.func and self.inst() == other.inst()
-        except Exception:
-            return False
+            if key in self._dict:
+                return self._dict.pop(key)
+        except TypeError:
+            for i, (k, v) in enumerate(self._pairs):
+                if k == key:
+                    del self._pairs[i]
+                    return v
+        if args:
+            return args[0]
+        raise KeyError(key)
 
-    def __ne__(self, other):
-        '''
-        Inverse of __eq__.
-        '''
-        return not self.__eq__(other)
+    def __iter__(self):
+        yield from self._dict
+        for k, v in self._pairs:
+            yield k
 
 
-class CallbackRegistry(object):
+class CallbackRegistry:
     """
-    Handle registering and disconnecting for a set of signals and
-    callbacks:
+    Handle registering, processing, blocking, and disconnecting
+    for a set of signals and callbacks:
 
         >>> def oneat(x):
-        ...    print('eat', x)
+        ...     print('eat', x)
         >>> def ondrink(x):
-        ...    print('drink', x)
+        ...     print('drink', x)
 
         >>> from matplotlib.cbook import CallbackRegistry
         >>> callbacks = CallbackRegistry()
@@ -454,264 +215,285 @@ class CallbackRegistry(object):
         drink 123
         >>> callbacks.process('eat', 456)
         eat 456
-        >>> callbacks.process('be merry', 456) # nothing will be called
+        >>> callbacks.process('be merry', 456)   # nothing will be called
+
         >>> callbacks.disconnect(id_eat)
-        >>> callbacks.process('eat', 456)      # nothing will be called
-
-    In practice, one should always disconnect all callbacks when they
-    are no longer needed to avoid dangling references (and thus memory
-    leaks).  However, real code in matplotlib rarely does so, and due
-    to its design, it is rather difficult to place this kind of code.
-    To get around this, and prevent this class of memory leaks, we
-    instead store weak references to bound methods only, so when the
-    destination object needs to die, the CallbackRegistry won't keep
-    it alive.  The Python stdlib weakref module can not create weak
-    references to bound methods directly, so we need to create a proxy
-    object to handle weak references to bound methods (or regular free
-    functions).  This technique was shared by Peter Parente on his
-    `"Mindtrove" blog
-    <http://mindtrove.info/articles/python-weak-references/>`_.
-    """
-    def __init__(self):
-        self.callbacks = dict()
-        self._cid = 0
-        self._func_cid_map = {}
+        >>> callbacks.process('eat', 456)        # nothing will be called
+
+        >>> with callbacks.blocked(signal='drink'):
+        ...     callbacks.process('drink', 123)  # nothing will be called
+        >>> callbacks.process('drink', 123)
+        drink 123
+
+    In practice, one should always disconnect all callbacks when they are
+    no longer needed to avoid dangling references (and thus memory leaks).
+    However, real code in Matplotlib rarely does so, and due to its design,
+    it is rather difficult to place this kind of code.  To get around this,
+    and prevent this class of memory leaks, we instead store weak references
+    to bound methods only, so when the destination object needs to die, the
+    CallbackRegistry won't keep it alive.
+
+    Parameters
+    ----------
+    exception_handler : callable, optional
+       If not None, *exception_handler* must be a function that takes an
+       `Exception` as single parameter.  It gets called with any `Exception`
+       raised by the callbacks during `CallbackRegistry.process`, and may
+       either re-raise the exception or handle it in another manner.
+
+       The default handler prints the exception (with `traceback.print_exc`) if
+       an interactive event loop is running; it re-raises the exception if no
+       interactive event loop is running.
+
+    signals : list, optional
+        If not None, *signals* is a list of signals that this registry handles:
+        attempting to `process` or to `connect` to a signal not in the list
+        throws a `ValueError`.  The default, None, does not restrict the
+        handled signals.
+    """
+
+    # We maintain two mappings:
+    #   callbacks: signal -> {cid -> weakref-to-callback}
+    #   _func_cid_map: {(signal, weakref-to-callback) -> cid}
+
+    def __init__(self, exception_handler=_exception_printer, *, signals=None):
+        self._signals = None if signals is None else list(signals)  # Copy it.
+        self.exception_handler = exception_handler
+        self.callbacks = {}
+        self._cid_gen = itertools.count()
+        self._func_cid_map = _UnhashDict([])
+        # A hidden variable that marks cids that need to be pickled.
+        self._pickled_cids = set()
 
     def __getstate__(self):
-        # We cannot currently pickle the callables in the registry, so
-        # return an empty dictionary.
-        return {}
+        return {
+            **vars(self),
+            # In general, callbacks may not be pickled, so we just drop them,
+            # unless directed otherwise by self._pickled_cids.
+            "callbacks": {s: {cid: proxy() for cid, proxy in d.items()
+                              if cid in self._pickled_cids}
+                          for s, d in self.callbacks.items()},
+            # It is simpler to reconstruct this from callbacks in __setstate__.
+            "_func_cid_map": None,
+            "_cid_gen": next(self._cid_gen)
+        }
 
     def __setstate__(self, state):
-        # re-initialise an empty callback registry
-        self.__init__()
+        cid_count = state.pop('_cid_gen')
+        vars(self).update(state)
+        self.callbacks = {
+            s: {cid: _weak_or_strong_ref(func, functools.partial(self._remove_proxy, s))
+                for cid, func in d.items()}
+            for s, d in self.callbacks.items()}
+        self._func_cid_map = _UnhashDict(
+            ((s, proxy), cid)
+            for s, d in self.callbacks.items() for cid, proxy in d.items())
+        self._cid_gen = itertools.count(cid_count)
+
+    def connect(self, signal, func):
+        """Register *func* to be called when signal *signal* is generated."""
+        if self._signals is not None:
+            _api.check_in_list(self._signals, signal=signal)
+        proxy = _weak_or_strong_ref(func, functools.partial(self._remove_proxy, signal))
+        try:
+            return self._func_cid_map[signal, proxy]
+        except KeyError:
+            cid = self._func_cid_map[signal, proxy] = next(self._cid_gen)
+            self.callbacks.setdefault(signal, {})[cid] = proxy
+            return cid
 
-    def connect(self, s, func):
+    def _connect_picklable(self, signal, func):
         """
-        register *func* to be called when a signal *s* is generated
-        func will be called
+        Like `.connect`, but the callback is kept when pickling/unpickling.
+
+        Currently internal-use only.
         """
-        self._func_cid_map.setdefault(s, WeakKeyDictionary())
-        if func in self._func_cid_map[s]:
-            return self._func_cid_map[s][func]
-
-        self._cid += 1
-        cid = self._cid
-        self._func_cid_map[s][func] = cid
-        self.callbacks.setdefault(s, dict())
-        proxy = _BoundMethodProxy(func)
-        self.callbacks[s][cid] = proxy
+        cid = self.connect(signal, func)
+        self._pickled_cids.add(cid)
         return cid
 
+    # Keep a reference to sys.is_finalizing, as sys may have been cleared out
+    # at that point.
+    def _remove_proxy(self, signal, proxy, *, _is_finalizing=sys.is_finalizing):
+        if _is_finalizing():
+            # Weakrefs can't be properly torn down at that point anymore.
+            return
+        cid = self._func_cid_map.pop((signal, proxy), None)
+        if cid is not None:
+            del self.callbacks[signal][cid]
+            self._pickled_cids.discard(cid)
+        else:  # Not found
+            return
+        if len(self.callbacks[signal]) == 0:  # Clean up empty dicts
+            del self.callbacks[signal]
+
     def disconnect(self, cid):
         """
-        disconnect the callback registered with callback id *cid*
+        Disconnect the callback registered with callback id *cid*.
+
+        No error is raised if such a callback does not exist.
         """
-        for eventname, callbackd in list(six.iteritems(self.callbacks)):
-            try:
-                del callbackd[cid]
-            except KeyError:
-                continue
-            else:
-                for category, functions in list(
-                        six.iteritems(self._func_cid_map)):
-                    for function, value in list(six.iteritems(functions)):
-                        if value == cid:
-                            del functions[function]
-                return
+        self._pickled_cids.discard(cid)
+        for signal, proxy in self._func_cid_map:
+            if self._func_cid_map[signal, proxy] == cid:
+                break
+        else:  # Not found
+            return
+        assert self.callbacks[signal][cid] == proxy
+        del self.callbacks[signal][cid]
+        self._func_cid_map.pop((signal, proxy))
+        if len(self.callbacks[signal]) == 0:  # Clean up empty dicts
+            del self.callbacks[signal]
 
     def process(self, s, *args, **kwargs):
         """
-        process signal *s*.  All of the functions registered to receive
-        callbacks on *s* will be called with *\*args* and *\*\*kwargs*
-        """
-        if s in self.callbacks:
-            for cid, proxy in list(six.iteritems(self.callbacks[s])):
-                # Clean out dead references
-                if proxy.inst is not None and proxy.inst() is None:
-                    del self.callbacks[s][cid]
-                else:
-                    proxy(*args, **kwargs)
+        Process signal *s*.
 
+        All of the functions registered to receive callbacks on *s* will be
+        called with ``*args`` and ``**kwargs``.
+        """
+        if self._signals is not None:
+            _api.check_in_list(self._signals, signal=s)
+        for ref in list(self.callbacks.get(s, {}).values()):
+            func = ref()
+            if func is not None:
+                try:
+                    func(*args, **kwargs)
+                # this does not capture KeyboardInterrupt, SystemExit,
+                # and GeneratorExit
+                except Exception as exc:
+                    if self.exception_handler is not None:
+                        self.exception_handler(exc)
+                    else:
+                        raise
+
+    @contextlib.contextmanager
+    def blocked(self, *, signal=None):
+        """
+        Block callback signals from being processed.
 
-class Scheduler(threading.Thread):
-    """
-    Base class for timeout and idle scheduling
-    """
-    idlelock = threading.Lock()
-    id = 0
+        A context manager to temporarily block/disable callback signals
+        from being processed by the registered listeners.
 
-    def __init__(self):
-        threading.Thread.__init__(self)
-        self.id = Scheduler.id
-        self._stopped = False
-        Scheduler.id += 1
-        self._stopevent = threading.Event()
-
-    def stop(self):
-        if self._stopped:
-            return
-        self._stopevent.set()
-        self.join()
-        self._stopped = True
+        Parameters
+        ----------
+        signal : str, optional
+            The callback signal to block. The default is to block all signals.
+        """
+        orig = self.callbacks
+        try:
+            if signal is None:
+                # Empty out the callbacks
+                self.callbacks = {}
+            else:
+                # Only remove the specific signal
+                self.callbacks = {k: orig[k] for k in orig if k != signal}
+            yield
+        finally:
+            self.callbacks = orig
 
 
-class Timeout(Scheduler):
-    """
-    Schedule recurring events with a wait time in seconds
+class silent_list(list):
     """
-    def __init__(self, wait, func):
-        Scheduler.__init__(self)
-        self.wait = wait
-        self.func = func
+    A list with a short ``repr()``.
 
-    def run(self):
+    This is meant to be used for a homogeneous list of artists, so that they
+    don't cause long, meaningless output.
 
-        while not self._stopevent.isSet():
-            self._stopevent.wait(self.wait)
-            Scheduler.idlelock.acquire()
-            b = self.func(self)
-            Scheduler.idlelock.release()
-            if not b:
-                break
-
-
-class Idle(Scheduler):
-    """
-    Schedule callbacks when scheduler is idle
-    """
-    # the prototype impl is a bit of a poor man's idle handler.  It
-    # just implements a short wait time.  But it will provide a
-    # placeholder for a proper impl ater
-    waittime = 0.05
-
-    def __init__(self, func):
-        Scheduler.__init__(self)
-        self.func = func
+    Instead of ::
 
-    def run(self):
+        [<matplotlib.lines.Line2D object at 0x7f5749fed3c8>,
+         <matplotlib.lines.Line2D object at 0x7f5749fed4e0>,
+         <matplotlib.lines.Line2D object at 0x7f5758016550>]
 
-        while not self._stopevent.isSet():
-            self._stopevent.wait(Idle.waittime)
-            Scheduler.idlelock.acquire()
-            b = self.func(self)
-            Scheduler.idlelock.release()
-            if not b:
-                break
+    one will get ::
 
+        <a list of 3 Line2D objects>
 
-class silent_list(list):
-    """
-    override repr when returning a list of matplotlib artists to
-    prevent long, meaningless output.  This is meant to be used for a
-    homogeneous list of a given type
+    If ``self.type`` is None, the type name is obtained from the first item in
+    the list (if any).
     """
+
     def __init__(self, type, seq=None):
         self.type = type
         if seq is not None:
             self.extend(seq)
 
     def __repr__(self):
-        return '<a list of %d %s objects>' % (len(self), self.type)
-
-    def __str__(self):
-        return repr(self)
+        if self.type is not None or len(self) != 0:
+            tp = self.type if self.type is not None else type(self[0]).__name__
+            return f"<a list of {len(self)} {tp} objects>"
+        else:
+            return "<an empty list>"
 
-    def __getstate__(self):
-        # store a dictionary of this SilentList's state
-        return {'type': self.type, 'seq': self[:]}
 
-    def __setstate__(self, state):
-        self.type = state['type']
-        self.extend(state['seq'])
+def _local_over_kwdict(
+        local_var, kwargs, *keys,
+        warning_cls=_api.MatplotlibDeprecationWarning):
+    out = local_var
+    for key in keys:
+        kwarg_val = kwargs.pop(key, None)
+        if kwarg_val is not None:
+            if out is None:
+                out = kwarg_val
+            else:
+                _api.warn_external(f'"{key}" keyword argument will be ignored',
+                                   warning_cls)
+    return out
 
 
 def strip_math(s):
-    'remove latex formatting from mathtext'
-    remove = (r'\mathdefault', r'\rm', r'\cal', r'\tt', r'\it', '\\', '{', '}')
-    s = s[1:-1]
-    for r in remove:
-        s = s.replace(r, '')
-    return s
-
-
-class Bunch(object):
-    """
-    Often we want to just collect a bunch of stuff together, naming each
-    item of the bunch; a dictionary's OK for that, but a small do- nothing
-    class is even handier, and prettier to use.  Whenever you want to
-    group a few variables::
-
-      >>> point = Bunch(datum=2, squared=4, coord=12)
-      >>> point.datum
-
-      By: Alex Martelli
-      From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52308
     """
-    def __init__(self, **kwds):
-        self.__dict__.update(kwds)
-
-    def __repr__(self):
-        keys = six.iterkeys(self.__dict__)
-        return 'Bunch(%s)' % ', '.join(['%s=%s' % (k, self.__dict__[k])
-                                        for k
-                                        in keys])
-
-
-def unique(x):
-    'Return a list of unique elements of *x*'
-    return list(six.iterkeys(dict([(val, 1) for val in x])))
-
-
-def iterable(obj):
-    'return true if *obj* is iterable'
-    try:
-        iter(obj)
-    except TypeError:
-        return False
-    return True
+    Remove latex formatting from mathtext.
+
+    Only handles fully math and fully non-math strings.
+    """
+    if len(s) >= 2 and s[0] == s[-1] == "$":
+        s = s[1:-1]
+        for tex, plain in [
+                (r"\times", "x"),  # Specifically for Formatter support.
+                (r"\mathdefault", ""),
+                (r"\rm", ""),
+                (r"\cal", ""),
+                (r"\tt", ""),
+                (r"\it", ""),
+                ("\\", ""),
+                ("{", ""),
+                ("}", ""),
+        ]:
+            s = s.replace(tex, plain)
+    return s
 
 
-def is_string_like(obj):
-    'Return True if *obj* looks like a string'
-    if isinstance(obj, six.string_types):
-        return True
-    # numpy strings are subclass of str, ma strings are not
-    if ma.isMaskedArray(obj):
-        if obj.ndim == 0 and obj.dtype.kind in 'SU':
-            return True
+def _strip_comment(s):
+    """Strip everything from the first unquoted #."""
+    pos = 0
+    while True:
+        quote_pos = s.find('"', pos)
+        hash_pos = s.find('#', pos)
+        if quote_pos < 0:
+            without_comment = s if hash_pos < 0 else s[:hash_pos]
+            return without_comment.strip()
+        elif 0 <= hash_pos < quote_pos:
+            return s[:hash_pos].strip()
         else:
-            return False
-    try:
-        obj + ''
-    except:
-        return False
-    return True
-
-
-def is_sequence_of_strings(obj):
-    """
-    Returns true if *obj* is iterable and contains strings
-    """
-    if not iterable(obj):
-        return False
-    if is_string_like(obj):
-        return False
-    for o in obj:
-        if not is_string_like(o):
-            return False
-    return True
+            closing_quote_pos = s.find('"', quote_pos + 1)
+            if closing_quote_pos < 0:
+                raise ValueError(
+                    f"Missing closing quote in: {s!r}. If you need a double-"
+                    'quote inside a string, use escaping: e.g. "the \" char"')
+            pos = closing_quote_pos + 1  # behind closing quote
 
 
 def is_writable_file_like(obj):
-    'return true if *obj* looks like a file object with a *write* method'
-    return hasattr(obj, 'write') and six.callable(obj.write)
+    """Return whether *obj* looks like a file object with a *write* method."""
+    return callable(getattr(obj, 'write', None))
 
 
 def file_requires_unicode(x):
     """
-    Returns `True` if the given writable file-like object requires Unicode
-    to be written to it.
+    Return whether the given writable file-like object requires Unicode to be
+    written to it.
     """
     try:
         x.write(b'')
@@ -721,106 +503,109 @@ def file_requires_unicode(x):
         return False
 
 
-def is_scalar(obj):
-    'return true if *obj* is not string like and is not iterable'
-    return not is_string_like(obj) and not iterable(obj)
-
+def to_filehandle(fname, flag='r', return_opened=False, encoding=None):
+    """
+    Convert a path to an open file handle or pass-through a file-like object.
 
-def is_numlike(obj):
-    'return true if *obj* looks like a number'
-    try:
-        obj + 1
-    except:
-        return False
-    else:
-        return True
+    Consider using `open_file_cm` instead, as it allows one to properly close
+    newly created file objects more easily.
 
+    Parameters
+    ----------
+    fname : str or path-like or file-like
+        If `str` or `os.PathLike`, the file is opened using the flags specified
+        by *flag* and *encoding*.  If a file-like object, it is passed through.
+    flag : str, default: 'r'
+        Passed as the *mode* argument to `open` when *fname* is `str` or
+        `os.PathLike`; ignored if *fname* is file-like.
+    return_opened : bool, default: False
+        If True, return both the file object and a boolean indicating whether
+        this was a new file (that the caller needs to close).  If False, return
+        only the new file.
+    encoding : str or None, default: None
+        Passed as the *mode* argument to `open` when *fname* is `str` or
+        `os.PathLike`; ignored if *fname* is file-like.
 
-def to_filehandle(fname, flag='rU', return_opened=False):
-    """
-    *fname* can be a filename or a file handle.  Support for gzipped
-    files is automatic, if the filename ends in .gz.  *flag* is a
-    read/write flag for :func:`file`
+    Returns
+    -------
+    fh : file-like
+    opened : bool
+        *opened* is only returned if *return_opened* is True.
     """
-    if is_string_like(fname):
+    if isinstance(fname, os.PathLike):
+        fname = os.fspath(fname)
+    if isinstance(fname, str):
         if fname.endswith('.gz'):
-            # get rid of 'U' in flag for gzipped files.
-            flag = flag.replace('U', '')
             fh = gzip.open(fname, flag)
         elif fname.endswith('.bz2'):
-            # get rid of 'U' in flag for bz2 files
-            flag = flag.replace('U', '')
+            # python may not be compiled with bz2 support,
+            # bury import until we need it
             import bz2
             fh = bz2.BZ2File(fname, flag)
         else:
-            fh = open(fname, flag)
+            fh = open(fname, flag, encoding=encoding)
         opened = True
     elif hasattr(fname, 'seek'):
         fh = fname
         opened = False
     else:
-        raise ValueError('fname must be a string or file handle')
+        raise ValueError('fname must be a PathLike or file handle')
     if return_opened:
         return fh, opened
     return fh
 
 
-def is_scalar_or_string(val):
-    """Return whether the given object is a scalar or string like."""
-    return is_string_like(val) or not iterable(val)
+def open_file_cm(path_or_file, mode="r", encoding=None):
+    r"""Pass through file objects and context-manage path-likes."""
+    fh, opened = to_filehandle(path_or_file, mode, True, encoding)
+    return fh if opened else contextlib.nullcontext(fh)
 
 
-def _string_to_bool(s):
-    if not is_string_like(s):
-        return s
-    if s == 'on':
-        return True
-    if s == 'off':
-        return False
-    raise ValueError("string argument must be either 'on' or 'off'")
+def is_scalar_or_string(val):
+    """Return whether the given object is a scalar or string like."""
+    return isinstance(val, str) or not np.iterable(val)
 
 
 def get_sample_data(fname, asfileobj=True):
     """
     Return a sample data file.  *fname* is a path relative to the
-    `mpl-data/sample_data` directory.  If *asfileobj* is `True`
+    :file:`mpl-data/sample_data` directory.  If *asfileobj* is `True`
     return a file object, otherwise just a file path.
 
-    Set the rc parameter examples.directory to the directory where we should
-    look, if sample_data files are stored in a location different than
-    default (which is 'mpl-data/sample_data` at the same level of 'matplotlib`
-    Python module files).
+    Sample data files are stored in the 'mpl-data/sample_data' directory within
+    the Matplotlib package.
 
-    If the filename ends in .gz, the file is implicitly ungzipped.
+    If the filename ends in .gz, the file is implicitly ungzipped.  If the
+    filename ends with .npy or .npz, and *asfileobj* is `True`, the file is
+    loaded with `numpy.load`.
     """
-    import matplotlib
-
-    if matplotlib.rcParams['examples.directory']:
-        root = matplotlib.rcParams['examples.directory']
-    else:
-        root = os.path.join(os.path.dirname(__file__),
-                            "mpl-data", "sample_data")
-    path = os.path.join(root, fname)
-
+    path = _get_data_path('sample_data', fname)
     if asfileobj:
-        if (os.path.splitext(fname)[-1].lower() in
-                ('.csv', '.xrc', '.txt')):
-            mode = 'r'
+        suffix = path.suffix.lower()
+        if suffix == '.gz':
+            return gzip.open(path)
+        elif suffix in ['.npy', '.npz']:
+            return np.load(path)
+        elif suffix in ['.csv', '.xrc', '.txt']:
+            return path.open('r')
         else:
-            mode = 'rb'
-
-        base, ext = os.path.splitext(fname)
-        if ext == '.gz':
-            return gzip.open(path, mode)
-        else:
-            return open(path, mode)
+            return path.open('rb')
     else:
-        return path
+        return str(path)
+
+
+def _get_data_path(*args):
+    """
+    Return the `pathlib.Path` to a resource file provided by Matplotlib.
+
+    ``*args`` specify a path relative to the base data path.
+    """
+    return Path(matplotlib.get_data_path(), *args)
 
 
 def flatten(seq, scalarp=is_scalar_or_string):
     """
-    Returns a generator of flattened nested containers
+    Return a generator of flattened nested containers.
 
     For example:
 
@@ -830,1500 +615,1823 @@ def flatten(seq, scalarp=is_scalar_or_string):
         ['John', 'Hunter', 1, 23, 42, 5, 23]
 
     By: Composite of Holger Krekel and Luther Blissett
-    From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294
+    From: https://code.activestate.com/recipes/121294-simple-generator-for-flattening-nested-containers/
     and Recipe 1.12 in cookbook
-    """
+    """  # noqa: E501
     for item in seq:
-        if scalarp(item):
+        if scalarp(item) or item is None:
             yield item
         else:
-            for subitem in flatten(item, scalarp):
-                yield subitem
+            yield from flatten(item, scalarp)
 
 
-class Sorter(object):
+class _Stack:
     """
-    Sort by attribute or item
+    Stack of elements with a movable cursor.
 
-    Example usage::
+    Mimics home/back/forward in a web browser.
+    """
 
-      sort = Sorter()
+    def __init__(self):
+        self._pos = -1
+        self._elements = []
 
-      list = [(1, 2), (4, 8), (0, 3)]
-      dict = [{'a': 3, 'b': 4}, {'a': 5, 'b': 2}, {'a': 0, 'b': 0},
-              {'a': 9, 'b': 9}]
+    def clear(self):
+        """Empty the stack."""
+        self._pos = -1
+        self._elements = []
 
+    def __call__(self):
+        """Return the current element, or None."""
+        return self._elements[self._pos] if self._elements else None
 
-      sort(list)       # default sort
-      sort(list, 1)    # sort by index 1
-      sort(dict, 'a')  # sort a list of dicts by key 'a'
+    def __len__(self):
+        return len(self._elements)
 
-    """
+    def __getitem__(self, ind):
+        return self._elements[ind]
 
-    def _helper(self, data, aux, inplace):
-        aux.sort()
-        result = [data[i] for junk, i in aux]
-        if inplace:
-            data[:] = result
-        return result
+    def forward(self):
+        """Move the position forward and return the current element."""
+        self._pos = min(self._pos + 1, len(self._elements) - 1)
+        return self()
 
-    def byItem(self, data, itemindex=None, inplace=1):
-        if itemindex is None:
-            if inplace:
-                data.sort()
-                result = data
-            else:
-                result = data[:]
-                result.sort()
-            return result
-        else:
-            aux = [(data[i][itemindex], i) for i in range(len(data))]
-            return self._helper(data, aux, inplace)
+    def back(self):
+        """Move the position back and return the current element."""
+        self._pos = max(self._pos - 1, 0)
+        return self()
 
-    def byAttribute(self, data, attributename, inplace=1):
-        aux = [(getattr(data[i], attributename), i) for i in range(len(data))]
-        return self._helper(data, aux, inplace)
+    def push(self, o):
+        """
+        Push *o* to the stack after the current position, and return *o*.
 
-    # a couple of handy synonyms
-    sort = byItem
-    __call__ = byItem
+        Discard all later elements.
+        """
+        self._elements[self._pos + 1:] = [o]
+        self._pos = len(self._elements) - 1
+        return o
 
+    def home(self):
+        """
+        Push the first element onto the top of the stack.
 
-class Xlator(dict):
-    """
-    All-in-one multiple-string-substitution class
+        The first element is returned.
+        """
+        return self.push(self._elements[0]) if self._elements else None
 
-    Example usage::
 
-      text = "Larry Wall is the creator of Perl"
-      adict = {
-      "Larry Wall" : "Guido van Rossum",
-      "creator" : "Benevolent Dictator for Life",
-      "Perl" : "Python",
-      }
+def safe_masked_invalid(x, copy=False):
+    x = np.array(x, subok=True, copy=copy)
+    if not x.dtype.isnative:
+        # If we have already made a copy, do the byteswap in place, else make a
+        # copy with the byte order swapped.
+        # Swap to native order.
+        x = x.byteswap(inplace=copy).view(x.dtype.newbyteorder('N'))
+    try:
+        xm = np.ma.masked_where(~(np.isfinite(x)), x, copy=False)
+    except TypeError:
+        return x
+    return xm
 
-      print multiple_replace(adict, text)
 
-      xlat = Xlator(adict)
-      print xlat.xlat(text)
+def print_cycles(objects, outstream=sys.stdout, show_progress=False):
     """
+    Print loops of cyclic references in the given *objects*.
 
-    def _make_regex(self):
-        """ Build re object based on the keys of the current dictionary """
-        return re.compile("|".join(map(re.escape, list(six.iterkeys(self)))))
+    It is often useful to pass in ``gc.garbage`` to find the cycles that are
+    preventing some objects from being garbage collected.
 
-    def __call__(self, match):
-        """ Handler invoked for each regex *match* """
-        return self[match.group(0)]
+    Parameters
+    ----------
+    objects
+        A list of objects to find cycles in.
+    outstream
+        The stream for output.
+    show_progress : bool
+        If True, print the number of objects reached as they are found.
+    """
+    import gc
 
-    def xlat(self, text):
-        """ Translate *text*, returns the modified text. """
-        return self._make_regex().sub(self, text)
+    def print_path(path):
+        for i, step in enumerate(path):
+            # next "wraps around"
+            next = path[(i + 1) % len(path)]
 
+            outstream.write("   %s -- " % type(step))
+            if isinstance(step, dict):
+                for key, val in step.items():
+                    if val is next:
+                        outstream.write(f"[{key!r}]")
+                        break
+                    if key is next:
+                        outstream.write(f"[key] = {val!r}")
+                        break
+            elif isinstance(step, list):
+                outstream.write("[%d]" % step.index(next))
+            elif isinstance(step, tuple):
+                outstream.write("( tuple )")
+            else:
+                outstream.write(repr(step))
+            outstream.write(" ->\n")
+        outstream.write("\n")
 
-def soundex(name, len=4):
-    """ soundex module conforming to Odell-Russell algorithm """
+    def recurse(obj, start, all, current_path):
+        if show_progress:
+            outstream.write("%d\r" % len(all))
 
-    # digits holds the soundex values for the alphabet
-    soundex_digits = '01230120022455012623010202'
-    sndx = ''
-    fc = ''
+        all[id(obj)] = None
 
-    # Translate letters in name to soundex digits
-    for c in name.upper():
-        if c.isalpha():
-            if not fc:
-                fc = c   # Remember first letter
-            d = soundex_digits[ord(c) - ord('A')]
-            # Duplicate consecutive soundex digits are skipped
-            if not sndx or (d != sndx[-1]):
-                sndx += d
+        referents = gc.get_referents(obj)
+        for referent in referents:
+            # If we've found our way back to the start, this is
+            # a cycle, so print it out
+            if referent is start:
+                print_path(current_path)
 
-    # Replace first digit with first letter
-    sndx = fc + sndx[1:]
+            # Don't go back through the original list of objects, or
+            # through temporary references to the object, since those
+            # are just an artifact of the cycle detector itself.
+            elif referent is objects or isinstance(referent, types.FrameType):
+                continue
 
-    # Remove all 0s from the soundex code
-    sndx = sndx.replace('0', '')
+            # We haven't seen this object before, so recurse
+            elif id(referent) not in all:
+                recurse(referent, start, all, current_path + [obj])
 
-    # Return soundex code truncated or 0-padded to len characters
-    return (sndx + (len * '0'))[:len]
-
-
-class Null(object):
-    """ Null objects always and reliably "do nothing." """
-
-    def __init__(self, *args, **kwargs):
-        pass
+    for obj in objects:
+        outstream.write(f"Examining: {obj!r}\n")
+        recurse(obj, obj, {}, [])
 
-    def __call__(self, *args, **kwargs):
-        return self
 
-    def __str__(self):
-        return "Null()"
+class Grouper:
+    """
+    A disjoint-set data structure.
 
-    def __repr__(self):
-        return "Null()"
+    Objects can be joined using :meth:`join`, tested for connectedness
+    using :meth:`joined`, and all disjoint sets can be retrieved by
+    using the object as an iterator.
 
-    if six.PY3:
-        def __bool__(self):
-            return 0
-    else:
-        def __nonzero__(self):
-            return 0
+    The objects being joined must be hashable and weak-referenceable.
 
-    def __getattr__(self, name):
-        return self
+    Examples
+    --------
+    >>> from matplotlib.cbook import Grouper
+    >>> class Foo:
+    ...     def __init__(self, s):
+    ...         self.s = s
+    ...     def __repr__(self):
+    ...         return self.s
+    ...
+    >>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef']
+    >>> grp = Grouper()
+    >>> grp.join(a, b)
+    >>> grp.join(b, c)
+    >>> grp.join(d, e)
+    >>> list(grp)
+    [[a, b, c], [d, e]]
+    >>> grp.joined(a, b)
+    True
+    >>> grp.joined(a, c)
+    True
+    >>> grp.joined(a, d)
+    False
+    """
+
+    def __init__(self, init=()):
+        self._mapping = weakref.WeakKeyDictionary(
+            {x: weakref.WeakSet([x]) for x in init})
+        self._ordering = weakref.WeakKeyDictionary()
+        for x in init:
+            if x not in self._ordering:
+                self._ordering[x] = len(self._ordering)
+        self._next_order = len(self._ordering)  # Plain int to simplify pickling.
 
-    def __setattr__(self, name, value):
-        return self
+    def __getstate__(self):
+        return {
+            **vars(self),
+            # Convert weak refs to strong ones.
+            "_mapping": {k: set(v) for k, v in self._mapping.items()},
+            "_ordering": {**self._ordering},
+        }
 
-    def __delattr__(self, name):
-        return self
+    def __setstate__(self, state):
+        vars(self).update(state)
+        # Convert strong refs to weak ones.
+        self._mapping = weakref.WeakKeyDictionary(
+            {k: weakref.WeakSet(v) for k, v in self._mapping.items()})
+        self._ordering = weakref.WeakKeyDictionary(self._ordering)
 
+    def __contains__(self, item):
+        return item in self._mapping
 
-def mkdirs(newdir, mode=0o777):
-    """
-    make directory *newdir* recursively, and set *mode*.  Equivalent to ::
+    def join(self, a, *args):
+        """
+        Join given arguments into the same set.  Accepts one or more arguments.
+        """
+        mapping = self._mapping
+        try:
+            set_a = mapping[a]
+        except KeyError:
+            set_a = mapping[a] = weakref.WeakSet([a])
+            self._ordering[a] = self._next_order
+            self._next_order += 1
+        for arg in args:
+            try:
+                set_b = mapping[arg]
+            except KeyError:
+                set_b = mapping[arg] = weakref.WeakSet([arg])
+                self._ordering[arg] = self._next_order
+                self._next_order += 1
+            if set_b is not set_a:
+                if len(set_b) > len(set_a):
+                    set_a, set_b = set_b, set_a
+                set_a.update(set_b)
+                for elem in set_b:
+                    mapping[elem] = set_a
 
-        > mkdir -p NEWDIR
-        > chmod MODE NEWDIR
-    """
-    try:
-        if not os.path.exists(newdir):
-            parts = os.path.split(newdir)
-            for i in range(1, len(parts) + 1):
-                thispart = os.path.join(*parts[:i])
-                if not os.path.exists(thispart):
-                    os.makedirs(thispart, mode)
+    def joined(self, a, b):
+        """Return whether *a* and *b* are members of the same set."""
+        return (self._mapping.get(a, object()) is self._mapping.get(b))
 
-    except OSError as err:
-        # Reraise the error unless it's about an already existing directory
-        if err.errno != errno.EEXIST or not os.path.isdir(newdir):
-            raise
+    def remove(self, a):
+        """Remove *a* from the grouper, doing nothing if it is not there."""
+        self._mapping.pop(a, {a}).remove(a)
+        self._ordering.pop(a, None)
 
+    def __iter__(self):
+        """
+        Iterate over each of the disjoint sets as a list.
 
-class GetRealpathAndStat(object):
-    def __init__(self):
-        self._cache = {}
-
-    def __call__(self, path):
-        result = self._cache.get(path)
-        if result is None:
-            realpath = os.path.realpath(path)
-            if sys.platform == 'win32':
-                stat_key = realpath
-            else:
-                stat = os.stat(realpath)
-                stat_key = (stat.st_ino, stat.st_dev)
-            result = realpath, stat_key
-            self._cache[path] = result
-        return result
-get_realpath_and_stat = GetRealpathAndStat()
+        The iterator is invalid if interleaved with calls to join().
+        """
+        unique_groups = {id(group): group for group in self._mapping.values()}
+        for group in unique_groups.values():
+            yield sorted(group, key=self._ordering.__getitem__)
 
+    def get_siblings(self, a):
+        """Return all of the items joined with *a*, including itself."""
+        siblings = self._mapping.get(a, [a])
+        return sorted(siblings, key=self._ordering.get)
 
-def dict_delall(d, keys):
-    'delete all of the *keys* from the :class:`dict` *d*'
-    for key in keys:
-        try:
-            del d[key]
-        except KeyError:
-            pass
 
+class GrouperView:
+    """Immutable view over a `.Grouper`."""
 
-class RingBuffer(object):
-    """ class that implements a not-yet-full buffer """
-    def __init__(self, size_max):
-        self.max = size_max
-        self.data = []
+    def __init__(self, grouper): self._grouper = grouper
+    def __contains__(self, item): return item in self._grouper
+    def __iter__(self): return iter(self._grouper)
 
-    class __Full:
-        """ class that implements a full buffer """
-        def append(self, x):
-            """ Append an element overwriting the oldest one. """
-            self.data[self.cur] = x
-            self.cur = (self.cur + 1) % self.max
+    def joined(self, a, b):
+        """
+        Return whether *a* and *b* are members of the same set.
+        """
+        return self._grouper.joined(a, b)
 
-        def get(self):
-            """ return list of elements in correct order """
-            return self.data[self.cur:] + self.data[:self.cur]
+    def get_siblings(self, a):
+        """
+        Return all of the items joined with *a*, including itself.
+        """
+        return self._grouper.get_siblings(a)
 
-    def append(self, x):
-        """append an element at the end of the buffer"""
-        self.data.append(x)
-        if len(self.data) == self.max:
-            self.cur = 0
-            # Permanently change self's class from non-full to full
-            self.__class__ = __Full
 
-    def get(self):
-        """ Return a list of elements from the oldest to the newest. """
-        return self.data
+def simple_linear_interpolation(a, steps):
+    """
+    Resample an array with ``steps - 1`` points between original point pairs.
 
-    def __get_item__(self, i):
-        return self.data[i % len(self.data)]
+    Along each column of *a*, ``(steps - 1)`` points are introduced between
+    each original values; the values are linearly interpolated.
 
+    Parameters
+    ----------
+    a : array, shape (n, ...)
+    steps : int
 
-def get_split_ind(seq, N):
+    Returns
+    -------
+    array
+        shape ``((n - 1) * steps + 1, ...)``
     """
-    *seq* is a list of words.  Return the index into seq such that::
+    fps = a.reshape((len(a), -1))
+    xp = np.arange(len(a)) * steps
+    x = np.arange((len(a) - 1) * steps + 1)
+    return (np.column_stack([np.interp(x, xp, fp) for fp in fps.T])
+            .reshape((len(x),) + a.shape[1:]))
 
-        len(' '.join(seq[:ind])<=N
 
-    .
+def delete_masked_points(*args):
     """
+    Find all masked and/or non-finite points in a set of arguments,
+    and return the arguments with only the unmasked points remaining.
 
-    sLen = 0
-    # todo: use Alex's xrange pattern from the cbook for efficiency
-    for (word, ind) in zip(seq, xrange(len(seq))):
-        sLen += len(word) + 1  # +1 to account for the len(' ')
-        if sLen >= N:
-            return ind
-    return len(seq)
-
+    Arguments can be in any of 5 categories:
 
-def wrap(prefix, text, cols):
-    'wrap *text* with *prefix* at length *cols*'
-    pad = ' ' * len(prefix.expandtabs())
-    available = cols - len(pad)
+    1) 1-D masked arrays
+    2) 1-D ndarrays
+    3) ndarrays with more than one dimension
+    4) other non-string iterables
+    5) anything else
 
-    seq = text.split(' ')
-    Nseq = len(seq)
-    ind = 0
-    lines = []
-    while ind < Nseq:
-        lastInd = ind
-        ind += get_split_ind(seq[ind:], available)
-        lines.append(seq[lastInd:ind])
+    The first argument must be in one of the first four categories;
+    any argument with a length differing from that of the first
+    argument (and hence anything in category 5) then will be
+    passed through unchanged.
 
-    # add the prefix to the first line, pad with spaces otherwise
-    ret = prefix + ' '.join(lines[0]) + '\n'
-    for line in lines[1:]:
-        ret += pad + ' '.join(line) + '\n'
-    return ret
+    Masks are obtained from all arguments of the correct length
+    in categories 1, 2, and 4; a point is bad if masked in a masked
+    array or if it is a nan or inf.  No attempt is made to
+    extract a mask from categories 2, 3, and 4 if `numpy.isfinite`
+    does not yield a Boolean array.
 
-# A regular expression used to determine the amount of space to
-# remove.  It looks for the first sequence of spaces immediately
-# following the first newline, or at the beginning of the string.
-_find_dedent_regex = re.compile("(?:(?:\n\r?)|^)( *)\S")
-# A cache to hold the regexs that actually remove the indent.
-_dedent_regex = {}
+    All input arguments that are not passed unchanged are returned
+    as ndarrays after removing the points or rows corresponding to
+    masks in any of the arguments.
 
+    A vastly simpler version of this function was originally
+    written as a helper for Axes.scatter().
 
-def dedent(s):
     """
-    Remove excess indentation from docstring *s*.
+    if not len(args):
+        return ()
+    if is_scalar_or_string(args[0]):
+        raise ValueError("First argument must be a sequence")
+    nrecs = len(args[0])
+    margs = []
+    seqlist = [False] * len(args)
+    for i, x in enumerate(args):
+        if not isinstance(x, str) and np.iterable(x) and len(x) == nrecs:
+            seqlist[i] = True
+            if isinstance(x, np.ma.MaskedArray):
+                if x.ndim > 1:
+                    raise ValueError("Masked arrays must be 1-D")
+            else:
+                x = np.asarray(x)
+        margs.append(x)
+    masks = []  # List of masks that are True where good.
+    for i, x in enumerate(margs):
+        if seqlist[i]:
+            if x.ndim > 1:
+                continue  # Don't try to get nan locations unless 1-D.
+            if isinstance(x, np.ma.MaskedArray):
+                masks.append(~np.ma.getmaskarray(x))  # invert the mask
+                xd = x.data
+            else:
+                xd = x
+            try:
+                mask = np.isfinite(xd)
+                if isinstance(mask, np.ndarray):
+                    masks.append(mask)
+            except Exception:  # Fixme: put in tuple of possible exceptions?
+                pass
+    if len(masks):
+        mask = np.logical_and.reduce(masks)
+        igood = mask.nonzero()[0]
+        if len(igood) < nrecs:
+            for i, x in enumerate(margs):
+                if seqlist[i]:
+                    margs[i] = x[igood]
+    for i, x in enumerate(margs):
+        if seqlist[i] and isinstance(x, np.ma.MaskedArray):
+            margs[i] = x.filled()
+    return margs
 
-    Discards any leading blank lines, then removes up to n whitespace
-    characters from each line, where n is the number of leading
-    whitespace characters in the first line. It differs from
-    textwrap.dedent in its deletion of leading blank lines and its use
-    of the first non-blank line to determine the indentation.
 
-    It is also faster in most cases.
+def _combine_masks(*args):
     """
-    # This implementation has a somewhat obtuse use of regular
-    # expressions.  However, this function accounted for almost 30% of
-    # matplotlib startup time, so it is worthy of optimization at all
-    # costs.
-
-    if not s:      # includes case of s is None
-        return ''
-
-    match = _find_dedent_regex.match(s)
-    if match is None:
-        return s
+    Find all masked and/or non-finite points in a set of arguments,
+    and return the arguments as masked arrays with a common mask.
 
-    # This is the number of spaces to remove from the left-hand side.
-    nshift = match.end(1) - match.start(1)
-    if nshift == 0:
-        return s
+    Arguments can be in any of 5 categories:
 
-    # Get a regex that will remove *up to* nshift spaces from the
-    # beginning of each line.  If it isn't in the cache, generate it.
-    unindent = _dedent_regex.get(nshift, None)
-    if unindent is None:
-        unindent = re.compile("\n\r? {0,%d}" % nshift)
-        _dedent_regex[nshift] = unindent
+    1) 1-D masked arrays
+    2) 1-D ndarrays
+    3) ndarrays with more than one dimension
+    4) other non-string iterables
+    5) anything else
 
-    result = unindent.sub("\n", s).strip()
-    return result
+    The first argument must be in one of the first four categories;
+    any argument with a length differing from that of the first
+    argument (and hence anything in category 5) then will be
+    passed through unchanged.
 
+    Masks are obtained from all arguments of the correct length
+    in categories 1, 2, and 4; a point is bad if masked in a masked
+    array or if it is a nan or inf.  No attempt is made to
+    extract a mask from categories 2 and 4 if `numpy.isfinite`
+    does not yield a Boolean array.  Category 3 is included to
+    support RGB or RGBA ndarrays, which are assumed to have only
+    valid values and which are passed through unchanged.
 
-def listFiles(root, patterns='*', recurse=1, return_folders=0):
-    """
-    Recursively list files
+    All input arguments that are not passed unchanged are returned
+    as masked arrays if any masked points are found, otherwise as
+    ndarrays.
 
-    from Parmar and Martelli in the Python Cookbook
     """
-    import os.path
-    import fnmatch
-    # Expand patterns from semicolon-separated string to list
-    pattern_list = patterns.split(';')
-    results = []
-
-    for dirname, dirs, files in os.walk(root):
-        # Append to results all relevant files (and perhaps folders)
-        for name in files:
-            fullname = os.path.normpath(os.path.join(dirname, name))
-            if return_folders or os.path.isfile(fullname):
-                for pattern in pattern_list:
-                    if fnmatch.fnmatch(name, pattern):
-                        results.append(fullname)
-                        break
-        # Block recursion if recursion was disallowed
-        if not recurse:
-            break
-
-    return results
+    if not len(args):
+        return ()
+    if is_scalar_or_string(args[0]):
+        raise ValueError("First argument must be a sequence")
+    nrecs = len(args[0])
+    margs = []  # Output args; some may be modified.
+    seqlist = [False] * len(args)  # Flags: True if output will be masked.
+    masks = []    # List of masks.
+    for i, x in enumerate(args):
+        if is_scalar_or_string(x) or len(x) != nrecs:
+            margs.append(x)  # Leave it unmodified.
+        else:
+            if isinstance(x, np.ma.MaskedArray) and x.ndim > 1:
+                raise ValueError("Masked arrays must be 1-D")
+            try:
+                x = np.asanyarray(x)
+            except (VisibleDeprecationWarning, ValueError):
+                # NumPy 1.19 raises a warning about ragged arrays, but we want
+                # to accept basically anything here.
+                x = np.asanyarray(x, dtype=object)
+            if x.ndim == 1:
+                x = safe_masked_invalid(x)
+                seqlist[i] = True
+                if np.ma.is_masked(x):
+                    masks.append(np.ma.getmaskarray(x))
+            margs.append(x)  # Possibly modified.
+    if len(masks):
+        mask = np.logical_or.reduce(masks)
+        for i, x in enumerate(margs):
+            if seqlist[i]:
+                margs[i] = np.ma.array(x, mask=mask)
+    return margs
 
 
-def get_recursive_filelist(args):
-    """
-    Recurse all the files and dirs in *args* ignoring symbolic links
-    and return the files as a list of strings
+def _broadcast_with_masks(*args, compress=False):
     """
-    files = []
+    Broadcast inputs, combining all masked arrays.
 
-    for arg in args:
-        if os.path.isfile(arg):
-            files.append(arg)
-            continue
-        if os.path.isdir(arg):
-            newfiles = listFiles(arg, recurse=1, return_folders=1)
-            files.extend(newfiles)
+    Parameters
+    ----------
+    *args : array-like
+        The inputs to broadcast.
+    compress : bool, default: False
+        Whether to compress the masked arrays. If False, the masked values
+        are replaced by NaNs.
 
-    return [f for f in files if not os.path.islink(f)]
+    Returns
+    -------
+    list of array-like
+        The broadcasted and masked inputs.
+    """
+    # extract the masks, if any
+    masks = [k.mask for k in args if isinstance(k, np.ma.MaskedArray)]
+    # broadcast to match the shape
+    bcast = np.broadcast_arrays(*args, *masks)
+    inputs = bcast[:len(args)]
+    masks = bcast[len(args):]
+    if masks:
+        # combine the masks into one
+        mask = np.logical_or.reduce(masks)
+        # put mask on and compress
+        if compress:
+            inputs = [np.ma.array(k, mask=mask).compressed()
+                      for k in inputs]
+        else:
+            inputs = [np.ma.array(k, mask=mask, dtype=float).filled(np.nan).ravel()
+                      for k in inputs]
+    else:
+        inputs = [np.ravel(k) for k in inputs]
+    return inputs
 
 
-def pieces(seq, num=2):
-    "Break up the *seq* into *num* tuples"
-    start = 0
-    while 1:
-        item = seq[start:start + num]
-        if not len(item):
-            break
-        yield item
-        start += num
+def boxplot_stats(X, whis=1.5, bootstrap=None, labels=None, autorange=False):
+    r"""
+    Return a list of dictionaries of statistics used to draw a series of box
+    and whisker plots using `~.Axes.bxp`.
 
+    Parameters
+    ----------
+    X : array-like
+        Data that will be represented in the boxplots. Should have 2 or
+        fewer dimensions.
 
-def exception_to_str(s=None):
-    if six.PY3:
-        sh = io.StringIO()
-    else:
-        sh = io.BytesIO()
-    if s is not None:
-        print(s, file=sh)
-    traceback.print_exc(file=sh)
-    return sh.getvalue()
+    whis : float or (float, float), default: 1.5
+        The position of the whiskers.
 
+        If a float, the lower whisker is at the lowest datum above
+        ``Q1 - whis*(Q3-Q1)``, and the upper whisker at the highest datum below
+        ``Q3 + whis*(Q3-Q1)``, where Q1 and Q3 are the first and third
+        quartiles.  The default value of ``whis = 1.5`` corresponds to Tukey's
+        original definition of boxplots.
 
-def allequal(seq):
-    """
-    Return *True* if all elements of *seq* compare equal.  If *seq* is
-    0 or 1 length, return *True*
-    """
-    if len(seq) < 2:
-        return True
-    val = seq[0]
-    for i in xrange(1, len(seq)):
-        thisval = seq[i]
-        if thisval != val:
-            return False
-    return True
+        If a pair of floats, they indicate the percentiles at which to draw the
+        whiskers (e.g., (5, 95)).  In particular, setting this to (0, 100)
+        results in whiskers covering the whole range of the data.
 
+        In the edge case where ``Q1 == Q3``, *whis* is automatically set to
+        (0, 100) (cover the whole range of the data) if *autorange* is True.
 
-def alltrue(seq):
-    """
-    Return *True* if all elements of *seq* evaluate to *True*.  If
-    *seq* is empty, return *False*.
-    """
-    if not len(seq):
-        return False
-    for val in seq:
-        if not val:
-            return False
-    return True
+        Beyond the whiskers, data are considered outliers and are plotted as
+        individual points.
 
+    bootstrap : int, optional
+        Number of times the confidence intervals around the median
+        should be bootstrapped (percentile method).
 
-def onetrue(seq):
-    """
-    Return *True* if one element of *seq* is *True*.  It *seq* is
-    empty, return *False*.
-    """
-    if not len(seq):
-        return False
-    for val in seq:
-        if val:
-            return True
-    return False
+    labels : list of str, optional
+        Labels for each dataset. Length must be compatible with
+        dimensions of *X*.
 
+    autorange : bool, optional (False)
+        When `True` and the data are distributed such that the 25th and 75th
+        percentiles are equal, ``whis`` is set to (0, 100) such that the
+        whisker ends are at the minimum and maximum of the data.
 
-def allpairs(x):
-    """
-    return all possible pairs in sequence *x*
+    Returns
+    -------
+    list of dict
+        A list of dictionaries containing the results for each column
+        of data. Keys of each dictionary are the following:
 
-    Condensed by Alex Martelli from this thread_ on c.l.python
+        ========   ===================================
+        Key        Value Description
+        ========   ===================================
+        label      tick label for the boxplot
+        mean       arithmetic mean value
+        med        50th percentile
+        q1         first quartile (25th percentile)
+        q3         third quartile (75th percentile)
+        iqr        interquartile range
+        cilo       lower notch around the median
+        cihi       upper notch around the median
+        whislo     end of the lower whisker
+        whishi     end of the upper whisker
+        fliers     outliers
+        ========   ===================================
 
-    .. _thread: http://groups.google.com/groups?q=all+pairs+group:*python*&hl=en&lr=&ie=UTF-8&selm=mailman.4028.1096403649.5135.python-list%40python.org&rnum=1
-    """
-    return [(s, f) for i, f in enumerate(x) for s in x[i + 1:]]
+    Notes
+    -----
+    Non-bootstrapping approach to confidence interval uses Gaussian-based
+    asymptotic approximation:
 
+    .. math::
 
-class maxdict(dict):
-    """
-    A dictionary with a maximum size; this doesn't override all the
-    relevant methods to contrain size, just setitem, so use with
-    caution
-    """
-    def __init__(self, maxsize):
-        dict.__init__(self)
-        self.maxsize = maxsize
-        self._killkeys = []
+        \mathrm{med} \pm 1.57 \times \frac{\mathrm{iqr}}{\sqrt{N}}
 
-    def __setitem__(self, k, v):
-        if k not in self:
-            if len(self) >= self.maxsize:
-                del self[self._killkeys[0]]
-                del self._killkeys[0]
-            self._killkeys.append(k)
-        dict.__setitem__(self, k, v)
+    General approach from:
+    McGill, R., Tukey, J.W., and Larsen, W.A. (1978) "Variations of
+    Boxplots", The American Statistician, 32:12-16.
+    """
 
+    def _bootstrap_median(data, N=5000):
+        # determine 95% confidence intervals of the median
+        M = len(data)
+        percentiles = [2.5, 97.5]
 
-class Stack(object):
-    """
-    Implement a stack where elements can be pushed on and you can move
-    back and forth.  But no pop.  Should mimic home / back / forward
-    in a browser
-    """
+        bs_index = np.random.randint(M, size=(N, M))
+        bsData = data[bs_index]
+        estimate = np.median(bsData, axis=1, overwrite_input=True)
 
-    def __init__(self, default=None):
-        self.clear()
-        self._default = default
+        CI = np.percentile(estimate, percentiles)
+        return CI
 
-    def __call__(self):
-        'return the current element, or None'
-        if not len(self._elements):
-            return self._default
+    def _compute_conf_interval(data, med, iqr, bootstrap):
+        if bootstrap is not None:
+            # Do a bootstrap estimate of notch locations.
+            # get conf. intervals around median
+            CI = _bootstrap_median(data, N=bootstrap)
+            notch_min = CI[0]
+            notch_max = CI[1]
         else:
-            return self._elements[self._pos]
 
-    def __len__(self):
-        return self._elements.__len__()
+            N = len(data)
+            notch_min = med - 1.57 * iqr / np.sqrt(N)
+            notch_max = med + 1.57 * iqr / np.sqrt(N)
 
-    def __getitem__(self, ind):
-        return self._elements.__getitem__(ind)
+        return notch_min, notch_max
 
-    def forward(self):
-        'move the position forward and return the current element'
-        N = len(self._elements)
-        if self._pos < N - 1:
-            self._pos += 1
-        return self()
+    # output is a list of dicts
+    bxpstats = []
 
-    def back(self):
-        'move the position back and return the current element'
-        if self._pos > 0:
-            self._pos -= 1
-        return self()
+    # convert X to a list of lists
+    X = _reshape_2D(X, "X")
 
-    def push(self, o):
-        """
-        push object onto stack at current position - all elements
-        occurring later than the current position are discarded
-        """
-        self._elements = self._elements[:self._pos + 1]
-        self._elements.append(o)
-        self._pos = len(self._elements) - 1
-        return self()
+    ncols = len(X)
+    if labels is None:
+        labels = itertools.repeat(None)
+    elif len(labels) != ncols:
+        raise ValueError("Dimensions of labels and X must be compatible")
 
-    def home(self):
-        'push the first element onto the top of the stack'
-        if not len(self._elements):
-            return
-        self.push(self._elements[0])
-        return self()
+    input_whis = whis
+    for ii, (x, label) in enumerate(zip(X, labels)):
 
-    def empty(self):
-        return len(self._elements) == 0
+        # empty dict
+        stats = {}
+        if label is not None:
+            stats['label'] = label
 
-    def clear(self):
-        'empty the stack'
-        self._pos = -1
-        self._elements = []
+        # restore whis to the input values in case it got changed in the loop
+        whis = input_whis
 
-    def bubble(self, o):
-        """
-        raise *o* to the top of the stack and return *o*.  *o* must be
-        in the stack
-        """
+        # note tricksiness, append up here and then mutate below
+        bxpstats.append(stats)
 
-        if o not in self._elements:
-            raise ValueError('Unknown element o')
-        old = self._elements[:]
-        self.clear()
-        bubbles = []
-        for thiso in old:
-            if thiso == o:
-                bubbles.append(thiso)
-            else:
-                self.push(thiso)
-        for thiso in bubbles:
-            self.push(o)
-        return o
-
-    def remove(self, o):
-        'remove element *o* from the stack'
-        if o not in self._elements:
-            raise ValueError('Unknown element o')
-        old = self._elements[:]
-        self.clear()
-        for thiso in old:
-            if thiso == o:
-                continue
-            else:
-                self.push(thiso)
+        # if empty, bail
+        if len(x) == 0:
+            stats['fliers'] = np.array([])
+            stats['mean'] = np.nan
+            stats['med'] = np.nan
+            stats['q1'] = np.nan
+            stats['q3'] = np.nan
+            stats['iqr'] = np.nan
+            stats['cilo'] = np.nan
+            stats['cihi'] = np.nan
+            stats['whislo'] = np.nan
+            stats['whishi'] = np.nan
+            continue
 
+        # up-convert to an array, just to be safe
+        x = np.ma.asarray(x)
+        x = x.data[~x.mask].ravel()
 
-def popall(seq):
-    'empty a list'
-    for i in xrange(len(seq)):
-        seq.pop()
+        # arithmetic mean
+        stats['mean'] = np.mean(x)
 
+        # medians and quartiles
+        q1, med, q3 = np.percentile(x, [25, 50, 75])
 
-def finddir(o, match, case=False):
-    """
-    return all attributes of *o* which match string in match.  if case
-    is True require an exact case match.
-    """
-    if case:
-        names = [(name, name) for name in dir(o) if is_string_like(name)]
-    else:
-        names = [(name.lower(), name) for name in dir(o)
-                 if is_string_like(name)]
-        match = match.lower()
-    return [orig for name, orig in names if name.find(match) >= 0]
+        # interquartile range
+        stats['iqr'] = q3 - q1
+        if stats['iqr'] == 0 and autorange:
+            whis = (0, 100)
 
+        # conf. interval around median
+        stats['cilo'], stats['cihi'] = _compute_conf_interval(
+            x, med, stats['iqr'], bootstrap
+        )
 
-def reverse_dict(d):
-    'reverse the dictionary -- may lose data if values are not unique!'
-    return dict([(v, k) for k, v in six.iteritems(d)])
+        # lowest/highest non-outliers
+        if np.iterable(whis) and not isinstance(whis, str):
+            loval, hival = np.percentile(x, whis)
+        elif np.isreal(whis):
+            loval = q1 - whis * stats['iqr']
+            hival = q3 + whis * stats['iqr']
+        else:
+            raise ValueError('whis must be a float or list of percentiles')
 
+        # get high extreme
+        wiskhi = x[x <= hival]
+        if len(wiskhi) == 0 or np.max(wiskhi) < q3:
+            stats['whishi'] = q3
+        else:
+            stats['whishi'] = np.max(wiskhi)
 
-def restrict_dict(d, keys):
-    """
-    Return a dictionary that contains those keys that appear in both
-    d and keys, with values from d.
-    """
-    return dict([(k, v) for (k, v) in six.iteritems(d) if k in keys])
+        # get low extreme
+        wisklo = x[x >= loval]
+        if len(wisklo) == 0 or np.min(wisklo) > q1:
+            stats['whislo'] = q1
+        else:
+            stats['whislo'] = np.min(wisklo)
 
+        # compute a single array of outliers
+        stats['fliers'] = np.concatenate([
+            x[x < stats['whislo']],
+            x[x > stats['whishi']],
+        ])
 
-def report_memory(i=0):  # argument may go away
-    'return the memory consumed by process'
-    from matplotlib.compat.subprocess import Popen, PIPE
-    pid = os.getpid()
-    if sys.platform == 'sunos5':
-        try:
-            a2 = Popen('ps -p %d -o osz' % pid, shell=True,
-                       stdout=PIPE).stdout.readlines()
-        except OSError:
-            raise NotImplementedError(
-                "report_memory works on Sun OS only if "
-                "the 'ps' program is found")
-        mem = int(a2[-1].strip())
-    elif sys.platform.startswith('linux'):
-        try:
-            a2 = Popen('ps -p %d -o rss,sz' % pid, shell=True,
-                       stdout=PIPE).stdout.readlines()
-        except OSError:
-            raise NotImplementedError(
-                "report_memory works on Linux only if "
-                "the 'ps' program is found")
-        mem = int(a2[1].split()[1])
-    elif sys.platform.startswith('darwin'):
-        try:
-            a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
-                       stdout=PIPE).stdout.readlines()
-        except OSError:
-            raise NotImplementedError(
-                "report_memory works on Mac OS only if "
-                "the 'ps' program is found")
-        mem = int(a2[1].split()[0])
-    elif sys.platform.startswith('win'):
-        try:
-            a2 = Popen(["tasklist", "/nh", "/fi", "pid eq %d" % pid],
-                       stdout=PIPE).stdout.read()
-        except OSError:
-            raise NotImplementedError(
-                "report_memory works on Windows only if "
-                "the 'tasklist' program is found")
-        mem = int(a2.strip().split()[-2].replace(',', ''))
-    else:
-        raise NotImplementedError(
-            "We don't have a memory monitor for %s" % sys.platform)
-    return mem
+        # add in the remaining stats
+        stats['q1'], stats['med'], stats['q3'] = q1, med, q3
 
-_safezip_msg = 'In safezip, len(args[0])=%d but len(args[%d])=%d'
+    return bxpstats
 
 
-def safezip(*args):
-    'make sure *args* are equal len before zipping'
-    Nx = len(args[0])
-    for i, arg in enumerate(args[1:]):
-        if len(arg) != Nx:
-            raise ValueError(_safezip_msg % (Nx, i + 1, len(arg)))
-    return list(zip(*args))
+#: Maps short codes for line style to their full name used by backends.
+ls_mapper = {'-': 'solid', '--': 'dashed', '-.': 'dashdot', ':': 'dotted'}
+#: Maps full names for line styles used by backends to their short codes.
+ls_mapper_r = {v: k for k, v in ls_mapper.items()}
 
 
-def issubclass_safe(x, klass):
-    'return issubclass(x, klass) and return False on a TypeError'
+def contiguous_regions(mask):
+    """
+    Return a list of (ind0, ind1) such that ``mask[ind0:ind1].all()`` is
+    True and we cover all such regions.
+    """
+    mask = np.asarray(mask, dtype=bool)
 
-    try:
-        return issubclass(x, klass)
-    except TypeError:
-        return False
+    if not mask.size:
+        return []
 
+    # Find the indices of region changes, and correct offset
+    idx, = np.nonzero(mask[:-1] != mask[1:])
+    idx += 1
 
-def safe_masked_invalid(x):
-    x = np.asanyarray(x)
-    try:
-        xm = np.ma.masked_invalid(x, copy=False)
-        xm.shrink_mask()
-    except TypeError:
-        return x
-    return xm
+    # List operations are faster for moderately sized arrays
+    idx = idx.tolist()
 
+    # Add first and/or last index if needed
+    if mask[0]:
+        idx = [0] + idx
+    if mask[-1]:
+        idx.append(len(mask))
 
-class MemoryMonitor(object):
-    def __init__(self, nmax=20000):
-        self._nmax = nmax
-        self._mem = np.zeros((self._nmax,), np.int32)
-        self.clear()
+    return list(zip(idx[::2], idx[1::2]))
 
-    def clear(self):
-        self._n = 0
-        self._overflow = False
 
-    def __call__(self):
-        mem = report_memory()
-        if self._n < self._nmax:
-            self._mem[self._n] = mem
-            self._n += 1
-        else:
-            self._overflow = True
-        return mem
-
-    def report(self, segments=4):
-        n = self._n
-        segments = min(n, segments)
-        dn = int(n / segments)
-        ii = list(xrange(0, n, dn))
-        ii[-1] = n - 1
-        print()
-        print('memory report: i, mem, dmem, dmem/nloops')
-        print(0, self._mem[0])
-        for i in range(1, len(ii)):
-            di = ii[i] - ii[i - 1]
-            if di == 0:
-                continue
-            dm = self._mem[ii[i]] - self._mem[ii[i - 1]]
-            print('%5d %5d %3d %8.3f' % (ii[i], self._mem[ii[i]],
-                                         dm, dm / float(di)))
-        if self._overflow:
-            print("Warning: array size was too small for the number of calls.")
+def is_math_text(s):
+    """
+    Return whether the string *s* contains math expressions.
 
-    def xy(self, i0=0, isub=1):
-        x = np.arange(i0, self._n, isub)
-        return x, self._mem[i0:self._n:isub]
+    This is done by checking whether *s* contains an even number of
+    non-escaped dollar signs.
+    """
+    s = str(s)
+    dollar_count = s.count(r'$') - s.count(r'\$')
+    even_dollars = (dollar_count > 0 and dollar_count % 2 == 0)
+    return even_dollars
 
-    def plot(self, i0=0, isub=1, fig=None):
-        if fig is None:
-            from .pylab import figure
-            fig = figure()
 
-        ax = fig.add_subplot(111)
-        ax.plot(*self.xy(i0, isub))
-        fig.canvas.draw()
+def _to_unmasked_float_array(x):
+    """
+    Convert a sequence to a float array; if input was a masked array, masked
+    values are converted to nans.
+    """
+    if hasattr(x, 'mask'):
+        return np.ma.asanyarray(x, float).filled(np.nan)
+    else:
+        return np.asanyarray(x, float)
+
+
+def _check_1d(x):
+    """Convert scalars to 1D arrays; pass-through arrays as is."""
+    # Unpack in case of e.g. Pandas or xarray object
+    x = _unpack_to_numpy(x)
+    # plot requires `shape` and `ndim`.  If passed an
+    # object that doesn't provide them, then force to numpy array.
+    # Note this will strip unit information.
+    if (not hasattr(x, 'shape') or
+            not hasattr(x, 'ndim') or
+            len(x.shape) < 1):
+        return np.atleast_1d(x)
+    else:
+        return x
 
 
-def print_cycles(objects, outstream=sys.stdout, show_progress=False):
+def _reshape_2D(X, name):
     """
-    *objects*
-        A list of objects to find cycles in.  It is often useful to
-        pass in gc.garbage to find the cycles that are preventing some
-        objects from being garbage collected.
+    Use Fortran ordering to convert ndarrays and lists of iterables to lists of
+    1D arrays.
 
-    *outstream*
-        The stream for output.
+    Lists of iterables are converted by applying `numpy.asanyarray` to each of
+    their elements.  1D ndarrays are returned in a singleton list containing
+    them.  2D ndarrays are converted to the list of their *columns*.
 
-    *show_progress*
-        If True, print the number of objects reached as they are found.
+    *name* is used to generate the error message for invalid inputs.
     """
-    import gc
-    from types import FrameType
 
-    def print_path(path):
-        for i, step in enumerate(path):
-            # next "wraps around"
-            next = path[(i + 1) % len(path)]
+    # Unpack in case of e.g. Pandas or xarray object
+    X = _unpack_to_numpy(X)
 
-            outstream.write("   %s -- " % str(type(step)))
-            if isinstance(step, dict):
-                for key, val in six.iteritems(step):
-                    if val is next:
-                        outstream.write("[%s]" % repr(key))
-                        break
-                    if key is next:
-                        outstream.write("[key] = %s" % repr(val))
-                        break
-            elif isinstance(step, list):
-                outstream.write("[%d]" % step.index(next))
-            elif isinstance(step, tuple):
-                outstream.write("( tuple )")
-            else:
-                outstream.write(repr(step))
-            outstream.write(" ->\n")
-        outstream.write("\n")
+    # Iterate over columns for ndarrays.
+    if isinstance(X, np.ndarray):
+        X = X.transpose()
 
-    def recurse(obj, start, all, current_path):
-        if show_progress:
-            outstream.write("%d\r" % len(all))
+        if len(X) == 0:
+            return [[]]
+        elif X.ndim == 1 and np.ndim(X[0]) == 0:
+            # 1D array of scalars: directly return it.
+            return [X]
+        elif X.ndim in [1, 2]:
+            # 2D array, or 1D array of iterables: flatten them first.
+            return [np.reshape(x, -1) for x in X]
+        else:
+            raise ValueError(f'{name} must have 2 or fewer dimensions')
+
+    # Iterate over list of iterables.
+    if len(X) == 0:
+        return [[]]
+
+    result = []
+    is_1d = True
+    for xi in X:
+        # check if this is iterable, except for strings which we
+        # treat as singletons.
+        if not isinstance(xi, str):
+            try:
+                iter(xi)
+            except TypeError:
+                pass
+            else:
+                is_1d = False
+        xi = np.asanyarray(xi)
+        nd = np.ndim(xi)
+        if nd > 1:
+            raise ValueError(f'{name} must have 2 or fewer dimensions')
+        result.append(xi.reshape(-1))
+
+    if is_1d:
+        # 1D array of scalars: directly return it.
+        return [np.reshape(result, -1)]
+    else:
+        # 2D array, or 1D array of iterables: use flattened version.
+        return result
 
-        all[id(obj)] = None
 
-        referents = gc.get_referents(obj)
-        for referent in referents:
-            # If we've found our way back to the start, this is
-            # a cycle, so print it out
-            if referent is start:
-                print_path(current_path)
+def violin_stats(X, method, points=100, quantiles=None):
+    """
+    Return a list of dictionaries of data which can be used to draw a series
+    of violin plots.
 
-            # Don't go back through the original list of objects, or
-            # through temporary references to the object, since those
-            # are just an artifact of the cycle detector itself.
-            elif referent is objects or isinstance(referent, FrameType):
-                continue
+    See the ``Returns`` section below to view the required keys of the
+    dictionary.
 
-            # We haven't seen this object before, so recurse
-            elif id(referent) not in all:
-                recurse(referent, start, all, current_path + [obj])
+    Users can skip this function and pass a user-defined set of dictionaries
+    with the same keys to `~.axes.Axes.violinplot` instead of using Matplotlib
+    to do the calculations. See the *Returns* section below for the keys
+    that must be present in the dictionaries.
 
-    for obj in objects:
-        outstream.write("Examining: %r\n" % (obj,))
-        recurse(obj, obj, {}, [])
+    Parameters
+    ----------
+    X : array-like
+        Sample data that will be used to produce the gaussian kernel density
+        estimates. Must have 2 or fewer dimensions.
 
+    method : callable
+        The method used to calculate the kernel density estimate for each
+        column of data. When called via ``method(v, coords)``, it should
+        return a vector of the values of the KDE evaluated at the values
+        specified in coords.
 
-class Grouper(object):
-    """
-    This class provides a lightweight way to group arbitrary objects
-    together into disjoint sets when a full-blown graph data structure
-    would be overkill.
+    points : int, default: 100
+        Defines the number of points to evaluate each of the gaussian kernel
+        density estimates at.
 
-    Objects can be joined using :meth:`join`, tested for connectedness
-    using :meth:`joined`, and all disjoint sets can be retreived by
-    using the object as an iterator.
+    quantiles : array-like, default: None
+        Defines (if not None) a list of floats in interval [0, 1] for each
+        column of data, which represents the quantiles that will be rendered
+        for that column of data. Must have 2 or fewer dimensions. 1D array will
+        be treated as a singleton list containing them.
 
-    The objects being joined must be hashable and weak-referenceable.
+    Returns
+    -------
+    list of dict
+        A list of dictionaries containing the results for each column of data.
+        The dictionaries contain at least the following:
 
-    For example:
+        - coords: A list of scalars containing the coordinates this particular
+          kernel density estimate was evaluated at.
+        - vals: A list of scalars containing the values of the kernel density
+          estimate at each of the coordinates given in *coords*.
+        - mean: The mean value for this column of data.
+        - median: The median value for this column of data.
+        - min: The minimum value for this column of data.
+        - max: The maximum value for this column of data.
+        - quantiles: The quantile values for this column of data.
+    """
 
-        >>> from matplotlib.cbook import Grouper
-        >>> class Foo(object):
-        ...     def __init__(self, s):
-        ...         self.s = s
-        ...     def __repr__(self):
-        ...         return self.s
-        ...
-        >>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef']
-        >>> grp = Grouper()
-        >>> grp.join(a, b)
-        >>> grp.join(b, c)
-        >>> grp.join(d, e)
-        >>> sorted(map(tuple, grp))
-        [(a, b, c), (d, e)]
-        >>> grp.joined(a, b)
-        True
-        >>> grp.joined(a, c)
-        True
-        >>> grp.joined(a, d)
-        False
-
-    """
-    def __init__(self, init=[]):
-        mapping = self._mapping = {}
-        for x in init:
-            mapping[ref(x)] = [ref(x)]
+    # List of dictionaries describing each of the violins.
+    vpstats = []
 
-    def __contains__(self, item):
-        return ref(item) in self._mapping
+    # Want X to be a list of data sequences
+    X = _reshape_2D(X, "X")
 
-    def clean(self):
-        """
-        Clean dead weak references from the dictionary
-        """
-        mapping = self._mapping
-        to_drop = [key for key in mapping if key() is None]
-        for key in to_drop:
-            val = mapping.pop(key)
-            val.remove(key)
+    # Want quantiles to be as the same shape as data sequences
+    if quantiles is not None and len(quantiles) != 0:
+        quantiles = _reshape_2D(quantiles, "quantiles")
+    # Else, mock quantiles if it's none or empty
+    else:
+        quantiles = [[]] * len(X)
 
-    def join(self, a, *args):
-        """
-        Join given arguments into the same set.  Accepts one or more
-        arguments.
-        """
-        mapping = self._mapping
-        set_a = mapping.setdefault(ref(a), [ref(a)])
+    # quantiles should have the same size as dataset
+    if len(X) != len(quantiles):
+        raise ValueError("List of violinplot statistics and quantiles values"
+                         " must have the same length")
 
-        for arg in args:
-            set_b = mapping.get(ref(arg))
-            if set_b is None:
-                set_a.append(ref(arg))
-                mapping[ref(arg)] = set_a
-            elif set_b is not set_a:
-                if len(set_b) > len(set_a):
-                    set_a, set_b = set_b, set_a
-                set_a.extend(set_b)
-                for elem in set_b:
-                    mapping[elem] = set_a
+    # Zip x and quantiles
+    for (x, q) in zip(X, quantiles):
+        # Dictionary of results for this distribution
+        stats = {}
 
-        self.clean()
+        # Calculate basic stats for the distribution
+        min_val = np.min(x)
+        max_val = np.max(x)
+        quantile_val = np.percentile(x, 100 * q)
 
-    def joined(self, a, b):
-        """
-        Returns True if *a* and *b* are members of the same set.
-        """
-        self.clean()
+        # Evaluate the kernel density estimate
+        coords = np.linspace(min_val, max_val, points)
+        stats['vals'] = method(x, coords)
+        stats['coords'] = coords
 
-        mapping = self._mapping
-        try:
-            return mapping[ref(a)] is mapping[ref(b)]
-        except KeyError:
-            return False
+        # Store additional statistics for this distribution
+        stats['mean'] = np.mean(x)
+        stats['median'] = np.median(x)
+        stats['min'] = min_val
+        stats['max'] = max_val
+        stats['quantiles'] = np.atleast_1d(quantile_val)
 
-    def __iter__(self):
-        """
-        Iterate over each of the disjoint sets as a list.
+        # Append to output
+        vpstats.append(stats)
 
-        The iterator is invalid if interleaved with calls to join().
-        """
-        self.clean()
+    return vpstats
 
-        class Token:
-            pass
-        token = Token()
 
-        # Mark each group as we come across if by appending a token,
-        # and don't yield it twice
-        for group in six.itervalues(self._mapping):
-            if not group[-1] is token:
-                yield [x() for x in group]
-                group.append(token)
+def pts_to_prestep(x, *args):
+    """
+    Convert continuous line to pre-steps.
 
-        # Cleanup the tokens
-        for group in six.itervalues(self._mapping):
-            if group[-1] is token:
-                del group[-1]
+    Given a set of ``N`` points, convert to ``2N - 1`` points, which when
+    connected linearly give a step function which changes values at the
+    beginning of the intervals.
 
-    def get_siblings(self, a):
-        """
-        Returns all of the items joined with *a*, including itself.
-        """
-        self.clean()
+    Parameters
+    ----------
+    x : array
+        The x location of the steps. May be empty.
 
-        siblings = self._mapping.get(ref(a), [ref(a)])
-        return [x() for x in siblings]
+    y1, ..., yp : array
+        y arrays to be turned into steps; all must be the same length as ``x``.
 
+    Returns
+    -------
+    array
+        The x and y values converted to steps in the same order as the input;
+        can be unpacked as ``x_out, y1_out, ..., yp_out``.  If the input is
+        length ``N``, each of these arrays will be length ``2N + 1``. For
+        ``N=0``, the length will be 0.
 
-def simple_linear_interpolation(a, steps):
-    if steps == 1:
-        return a
-
-    steps = int(np.floor(steps))
-    new_length = ((len(a) - 1) * steps) + 1
-    new_shape = list(a.shape)
-    new_shape[0] = new_length
-    result = np.zeros(new_shape, a.dtype)
-
-    result[0] = a[0]
-    a0 = a[0:-1]
-    a1 = a[1:]
-    delta = ((a1 - a0) / steps)
-    for i in range(1, steps):
-        result[i::steps] = delta * i + a0
-    result[steps::steps] = a1
-
-    return result
-
-
-def recursive_remove(path):
-    if os.path.isdir(path):
-        for fname in (glob.glob(os.path.join(path, '*')) +
-                      glob.glob(os.path.join(path, '.*'))):
-            if os.path.isdir(fname):
-                recursive_remove(fname)
-                os.removedirs(fname)
-            else:
-                os.remove(fname)
-        #os.removedirs(path)
-    else:
-        os.remove(path)
+    Examples
+    --------
+    >>> x_s, y1_s, y2_s = pts_to_prestep(x, y1, y2)
+    """
+    steps = np.zeros((1 + len(args), max(2 * len(x) - 1, 0)))
+    # In all `pts_to_*step` functions, only assign once using *x* and *args*,
+    # as converting to an array may be expensive.
+    steps[0, 0::2] = x
+    steps[0, 1::2] = steps[0, 0:-2:2]
+    steps[1:, 0::2] = args
+    steps[1:, 1::2] = steps[1:, 2::2]
+    return steps
 
 
-def delete_masked_points(*args):
+def pts_to_poststep(x, *args):
     """
-    Find all masked and/or non-finite points in a set of arguments,
-    and return the arguments with only the unmasked points remaining.
+    Convert continuous line to post-steps.
 
-    Arguments can be in any of 5 categories:
+    Given a set of ``N`` points convert to ``2N + 1`` points, which when
+    connected linearly give a step function which changes values at the end of
+    the intervals.
 
-    1) 1-D masked arrays
-    2) 1-D ndarrays
-    3) ndarrays with more than one dimension
-    4) other non-string iterables
-    5) anything else
+    Parameters
+    ----------
+    x : array
+        The x location of the steps. May be empty.
 
-    The first argument must be in one of the first four categories;
-    any argument with a length differing from that of the first
-    argument (and hence anything in category 5) then will be
-    passed through unchanged.
+    y1, ..., yp : array
+        y arrays to be turned into steps; all must be the same length as ``x``.
 
-    Masks are obtained from all arguments of the correct length
-    in categories 1, 2, and 4; a point is bad if masked in a masked
-    array or if it is a nan or inf.  No attempt is made to
-    extract a mask from categories 2, 3, and 4 if :meth:`np.isfinite`
-    does not yield a Boolean array.
+    Returns
+    -------
+    array
+        The x and y values converted to steps in the same order as the input;
+        can be unpacked as ``x_out, y1_out, ..., yp_out``.  If the input is
+        length ``N``, each of these arrays will be length ``2N + 1``. For
+        ``N=0``, the length will be 0.
 
-    All input arguments that are not passed unchanged are returned
-    as ndarrays after removing the points or rows corresponding to
-    masks in any of the arguments.
+    Examples
+    --------
+    >>> x_s, y1_s, y2_s = pts_to_poststep(x, y1, y2)
+    """
+    steps = np.zeros((1 + len(args), max(2 * len(x) - 1, 0)))
+    steps[0, 0::2] = x
+    steps[0, 1::2] = steps[0, 2::2]
+    steps[1:, 0::2] = args
+    steps[1:, 1::2] = steps[1:, 0:-2:2]
+    return steps
 
-    A vastly simpler version of this function was originally
-    written as a helper for Axes.scatter().
 
+def pts_to_midstep(x, *args):
     """
-    if not len(args):
-        return ()
-    if (is_string_like(args[0]) or not iterable(args[0])):
-        raise ValueError("First argument must be a sequence")
-    nrecs = len(args[0])
-    margs = []
-    seqlist = [False] * len(args)
-    for i, x in enumerate(args):
-        if (not is_string_like(x)) and iterable(x) and len(x) == nrecs:
-            seqlist[i] = True
-            if ma.isMA(x):
-                if x.ndim > 1:
-                    raise ValueError("Masked arrays must be 1-D")
-            else:
-                x = np.asarray(x)
-        margs.append(x)
-    masks = []    # list of masks that are True where good
-    for i, x in enumerate(margs):
-        if seqlist[i]:
-            if x.ndim > 1:
-                continue  # Don't try to get nan locations unless 1-D.
-            if ma.isMA(x):
-                masks.append(~ma.getmaskarray(x))  # invert the mask
-                xd = x.data
-            else:
-                xd = x
-            try:
-                mask = np.isfinite(xd)
-                if isinstance(mask, np.ndarray):
-                    masks.append(mask)
-            except:  # Fixme: put in tuple of possible exceptions?
-                pass
-    if len(masks):
-        mask = reduce(np.logical_and, masks)
-        igood = mask.nonzero()[0]
-        if len(igood) < nrecs:
-            for i, x in enumerate(margs):
-                if seqlist[i]:
-                    margs[i] = x.take(igood, axis=0)
-    for i, x in enumerate(margs):
-        if seqlist[i] and ma.isMA(x):
-            margs[i] = x.filled()
-    return margs
-
+    Convert continuous line to mid-steps.
 
-def boxplot_stats(X, whis=1.5, bootstrap=None, labels=None):
-    '''
-    Returns list of dictionaries of staticists to be use to draw a series of
-    box and whisker plots. See the `Returns` section below to the required
-    keys of the dictionary. Users can skip this function and pass a user-
-    defined set of dictionaries to the new `axes.bxp` method instead of
-    relying on MPL to do the calcs.
+    Given a set of ``N`` points convert to ``2N`` points which when connected
+    linearly give a step function which changes values at the middle of the
+    intervals.
 
     Parameters
     ----------
-    X : array-like
-        Data that will be represented in the boxplots. Should have 2 or fewer
-        dimensions.
+    x : array
+        The x location of the steps. May be empty.
 
-    whis : float, string, or sequence (default = 1.5)
-        As a float, determines the reach of the whiskers past the first and
-        third quartiles (e.g., Q3 + whis*IQR, QR = interquartile range, Q3-Q1).
-        Beyond the whiskers, data are considered outliers and are plotted as
-        individual points. Set this to an unreasonably high value to force the
-        whiskers to show the min and max data. Alternatively, set this to an
-        ascending sequence of percentile (e.g., [5, 95]) to set the whiskers
-        at specific percentiles of the data. Finally, can  `whis` be the
-        string 'range' to force the whiskers to the min and max of the data.
-        In the edge case that the 25th and 75th percentiles are equivalent,
-        `whis` will be automatically set to 'range'
-
-    bootstrap : int or None (default)
-        Number of times the confidence intervals around the median should
-        be bootstrapped (percentile method).
-
-    labels : sequence
-        Labels for each dataset. Length must be compatible with dimensions
-        of `X`
+    y1, ..., yp : array
+        y arrays to be turned into steps; all must be the same length as
+        ``x``.
 
     Returns
     -------
-    bxpstats : list of dict
-        A list of dictionaries containing the results for each column
-        of data. Keys of each dictionary are the following:
+    array
+        The x and y values converted to steps in the same order as the input;
+        can be unpacked as ``x_out, y1_out, ..., yp_out``.  If the input is
+        length ``N``, each of these arrays will be length ``2N``.
 
-        ========   ===================================
-        Key        Value Description
-        ========   ===================================
-        label      tick label for the boxplot
-        mean       arithemetic mean value
-        med        50th percentile
-        q1         first quartile (25th percentile)
-        q3         third quartile (75th percentile)
-        cilo       lower notch around the median
-        ciho       upper notch around the median
-        whislo     end of the lower whisker
-        whishi     end of the upper whisker
-        fliers     outliers
-        ========   ===================================
+    Examples
+    --------
+    >>> x_s, y1_s, y2_s = pts_to_midstep(x, y1, y2)
+    """
+    steps = np.zeros((1 + len(args), 2 * len(x)))
+    x = np.asanyarray(x)
+    steps[0, 1:-1:2] = steps[0, 2::2] = (x[:-1] + x[1:]) / 2
+    steps[0, :1] = x[:1]  # Also works for zero-sized input.
+    steps[0, -1:] = x[-1:]
+    steps[1:, 0::2] = args
+    steps[1:, 1::2] = steps[1:, 0::2]
+    return steps
 
-    Notes
-    -----
-    Non-bootstrapping approach to confidence interval uses Gaussian-based
-    asymptotic approximation:
 
-    .. math::
+STEP_LOOKUP_MAP = {'default': lambda x, y: (x, y),
+                   'steps': pts_to_prestep,
+                   'steps-pre': pts_to_prestep,
+                   'steps-post': pts_to_poststep,
+                   'steps-mid': pts_to_midstep}
 
-        \mathrm{med} \pm 1.57 \\times \\frac{\mathrm{iqr}}{\sqrt{N}}
 
-    General approach from:
-    McGill, R., Tukey, J.W., and Larsen, W.A. (1978) "Variations of
-    Boxplots", The American Statistician, 32:12-16.
+def index_of(y):
+    """
+    A helper function to create reasonable x values for the given *y*.
 
-    '''
+    This is used for plotting (x, y) if x values are not explicitly given.
 
-    def _bootstrap_median(data, N=5000):
-        # determine 95% confidence intervals of the median
-        M = len(data)
-        percentiles = [2.5, 97.5]
+    First try ``y.index`` (assuming *y* is a `pandas.Series`), if that
+    fails, use ``range(len(y))``.
 
-        ii = np.random.randint(M, size=(N, M))
-        bsData = x[ii]
-        estimate = np.median(bsData, axis=1, overwrite_input=True)
+    This will be extended in the future to deal with more types of
+    labeled data.
 
-        CI = np.percentile(estimate, percentiles)
-        return CI
+    Parameters
+    ----------
+    y : float or array-like
 
-    def _compute_conf_interval(data, med, iqr, bootstrap):
-        if bootstrap is not None:
-            # Do a bootstrap estimate of notch locations.
-            # get conf. intervals around median
-            CI = _bootstrap_median(data, N=bootstrap)
-            notch_min = CI[0]
-            notch_max = CI[1]
-        else:
+    Returns
+    -------
+    x, y : ndarray
+       The x and y values to plot.
+    """
+    try:
+        return y.index.to_numpy(), y.to_numpy()
+    except AttributeError:
+        pass
+    try:
+        y = _check_1d(y)
+    except (VisibleDeprecationWarning, ValueError):
+        # NumPy 1.19 will warn on ragged input, and we can't actually use it.
+        pass
+    else:
+        return np.arange(y.shape[0], dtype=float), y
+    raise ValueError('Input could not be cast to an at-least-1D NumPy array')
 
-            N = len(data)
-            notch_min = med - 1.57 * iqr / np.sqrt(N)
-            notch_max = med + 1.57 * iqr / np.sqrt(N)
 
-        return notch_min, notch_max
+def safe_first_element(obj):
+    """
+    Return the first element in *obj*.
 
-    # output is a list of dicts
-    bxpstats = []
+    This is a type-independent way of obtaining the first element,
+    supporting both index access and the iterator protocol.
+    """
+    if isinstance(obj, collections.abc.Iterator):
+        # needed to accept `array.flat` as input.
+        # np.flatiter reports as an instance of collections.Iterator but can still be
+        # indexed via []. This has the side effect of re-setting the iterator, but
+        # that is acceptable.
+        try:
+            return obj[0]
+        except TypeError:
+            pass
+        raise RuntimeError("matplotlib does not support generators as input")
+    return next(iter(obj))
 
-    # convert X to a list of lists
-    X = _reshape_2D(X)
 
-    ncols = len(X)
-    if labels is None:
-        labels = repeat(None)
-    elif len(labels) != ncols:
-        raise ValueError("Dimensions of labels and X must be compatible")
+def _safe_first_finite(obj):
+    """
+    Return the first finite element in *obj* if one is available and skip_nonfinite is
+    True. Otherwise, return the first element.
 
-    input_whis = whis
-    for ii, (x, label) in enumerate(zip(X, labels), start=0):
+    This is a method for internal use.
 
-        # empty dict
-        stats = {}
-        if label is not None:
-            stats['label'] = label
+    This is a type-independent way of obtaining the first finite element, supporting
+    both index access and the iterator protocol.
+    """
+    def safe_isfinite(val):
+        if val is None:
+            return False
+        try:
+            return math.isfinite(val)
+        except (TypeError, ValueError):
+            # if the outer object is 2d, then val is a 1d array, and
+            # - math.isfinite(numpy.zeros(3)) raises TypeError
+            # - math.isfinite(torch.zeros(3)) raises ValueError
+            pass
+        try:
+            return np.isfinite(val) if np.isscalar(val) else True
+        except TypeError:
+            # This is something that NumPy cannot make heads or tails of,
+            # assume "finite"
+            return True
 
-        # restore whis to the input values in case it got changed in the loop
-        whis = input_whis
+    if isinstance(obj, np.flatiter):
+        # TODO do the finite filtering on this
+        return obj[0]
+    elif isinstance(obj, collections.abc.Iterator):
+        raise RuntimeError("matplotlib does not support generators as input")
+    else:
+        for val in obj:
+            if safe_isfinite(val):
+                return val
+        return safe_first_element(obj)
 
-        # note tricksyness, append up here and then mutate below
-        bxpstats.append(stats)
 
-        # if empty, bail
-        if len(x) == 0:
-            stats['fliers'] = np.array([])
-            stats['mean'] = np.nan
-            stats['med'] = np.nan
-            stats['q1'] = np.nan
-            stats['q3'] = np.nan
-            stats['cilo'] = np.nan
-            stats['ciho'] = np.nan
-            stats['whislo'] = np.nan
-            stats['whishi'] = np.nan
-            stats['med'] = np.nan
-            continue
+def sanitize_sequence(data):
+    """
+    Convert dictview objects to list. Other inputs are returned unchanged.
+    """
+    return (list(data) if isinstance(data, collections.abc.MappingView)
+            else data)
 
-        # up-convert to an array, just to be safe
-        x = np.asarray(x)
 
-        # arithmetic mean
-        stats['mean'] = np.mean(x)
+def _resize_sequence(seq, N):
+    """
+    Trim the given sequence to exactly N elements.
 
-        # medians and quartiles
-        q1, med, q3 = np.percentile(x, [25, 50, 75])
+    If there are more elements in the sequence, cut it.
+    If there are less elements in the sequence, repeat them.
 
-        # interquartile range
-        stats['iqr'] = q3 - q1
-        if stats['iqr'] == 0:
-            whis = 'range'
+    Implementation detail: We maintain type stability for the output for
+    N <= len(seq). We simply return a list for N > len(seq); this was good
+    enough for the present use cases but is not a fixed design decision.
+    """
+    num_elements = len(seq)
+    if N == num_elements:
+        return seq
+    elif N < num_elements:
+        return seq[:N]
+    else:
+        return list(itertools.islice(itertools.cycle(seq), N))
 
-        # conf. interval around median
-        stats['cilo'], stats['cihi'] = _compute_conf_interval(
-            x, med, stats['iqr'], bootstrap
-        )
 
-        # lowest/highest non-outliers
-        if np.isscalar(whis):
-            if np.isreal(whis):
-                loval = q1 - whis * stats['iqr']
-                hival = q3 + whis * stats['iqr']
-            elif whis in ['range', 'limit', 'limits', 'min/max']:
-                loval = np.min(x)
-                hival = np.max(x)
-            else:
-                whismsg = ('whis must be a float, valid string, or '
-                           'list of percentiles')
-                raise ValueError(whismsg)
-        else:
-            loval = np.percentile(x, whis[0])
-            hival = np.percentile(x, whis[1])
+def normalize_kwargs(kw, alias_mapping=None):
+    """
+    Helper function to normalize kwarg inputs.
 
-        # get high extreme
-        wiskhi = np.compress(x <= hival, x)
-        if len(wiskhi) == 0 or np.max(wiskhi) < q3:
-            stats['whishi'] = q3
-        else:
-            stats['whishi'] = np.max(wiskhi)
+    Parameters
+    ----------
+    kw : dict or None
+        A dict of keyword arguments.  None is explicitly supported and treated
+        as an empty dict, to support functions with an optional parameter of
+        the form ``props=None``.
 
-        # get low extreme
-        wisklo = np.compress(x >= loval, x)
-        if len(wisklo) == 0 or np.min(wisklo) > q1:
-            stats['whislo'] = q1
-        else:
-            stats['whislo'] = np.min(wisklo)
+    alias_mapping : dict or Artist subclass or Artist instance, optional
+        A mapping between a canonical name to a list of aliases, in order of
+        precedence from lowest to highest.
 
-        # compute a single array of outliers
-        stats['fliers'] = np.hstack([
-            np.compress(x < stats['whislo'], x),
-            np.compress(x > stats['whishi'], x)
-        ])
+        If the canonical value is not in the list it is assumed to have the
+        highest priority.
 
-        # add in the remaining stats
-        stats['q1'], stats['med'], stats['q3'] = q1, med, q3
+        If an Artist subclass or instance is passed, use its properties alias
+        mapping.
 
+    Raises
+    ------
+    TypeError
+        To match what Python raises if invalid arguments/keyword arguments are
+        passed to a callable.
+    """
+    from matplotlib.artist import Artist
 
-    return bxpstats
+    if kw is None:
+        return {}
 
+    # deal with default value of alias_mapping
+    if alias_mapping is None:
+        alias_mapping = {}
+    elif (isinstance(alias_mapping, type) and issubclass(alias_mapping, Artist)
+          or isinstance(alias_mapping, Artist)):
+        alias_mapping = getattr(alias_mapping, "_alias_map", {})
+
+    to_canonical = {alias: canonical
+                    for canonical, alias_list in alias_mapping.items()
+                    for alias in alias_list}
+    canonical_to_seen = {}
+    ret = {}  # output dictionary
+
+    for k, v in kw.items():
+        canonical = to_canonical.get(k, k)
+        if canonical in canonical_to_seen:
+            raise TypeError(f"Got both {canonical_to_seen[canonical]!r} and "
+                            f"{k!r}, which are aliases of one another")
+        canonical_to_seen[canonical] = k
+        ret[canonical] = v
 
-# FIXME I don't think this is used anywhere
-def unmasked_index_ranges(mask, compressed=True):
-    """
-    Find index ranges where *mask* is *False*.
+    return ret
 
-    *mask* will be flattened if it is not already 1-D.
 
-    Returns Nx2 :class:`numpy.ndarray` with each row the start and stop
-    indices for slices of the compressed :class:`numpy.ndarray`
-    corresponding to each of *N* uninterrupted runs of unmasked
-    values.  If optional argument *compressed* is *False*, it returns
-    the start and stop indices into the original :class:`numpy.ndarray`,
-    not the compressed :class:`numpy.ndarray`.  Returns *None* if there
-    are no unmasked values.
+@contextlib.contextmanager
+def _lock_path(path):
+    """
+    Context manager for locking a path.
 
-    Example::
+    Usage::
 
-      y = ma.array(np.arange(5), mask = [0,0,1,0,0])
-      ii = unmasked_index_ranges(ma.getmaskarray(y))
-      # returns array [[0,2,] [2,4,]]
+        with _lock_path(path):
+            ...
 
-      y.compressed()[ii[1,0]:ii[1,1]]
-      # returns array [3,4,]
+    Another thread or process that attempts to lock the same path will wait
+    until this context manager is exited.
 
-      ii = unmasked_index_ranges(ma.getmaskarray(y), compressed=False)
-      # returns array [[0, 2], [3, 5]]
+    The lock is implemented by creating a temporary file in the parent
+    directory, so that directory must exist and be writable.
+    """
+    path = Path(path)
+    lock_path = path.with_name(path.name + ".matplotlib-lock")
+    retries = 50
+    sleeptime = 0.1
+    for _ in range(retries):
+        try:
+            with lock_path.open("xb"):
+                break
+        except FileExistsError:
+            time.sleep(sleeptime)
+    else:
+        raise TimeoutError("""\
+Lock error: Matplotlib failed to acquire the following lock file:
+    {}
+This maybe due to another process holding this lock file.  If you are sure no
+other Matplotlib process is running, remove this file and try again.""".format(
+            lock_path))
+    try:
+        yield
+    finally:
+        lock_path.unlink()
 
-      y.filled()[ii[1,0]:ii[1,1]]
-      # returns array [3,4,]
 
-    Prior to the transforms refactoring, this was used to support
-    masked arrays in Line2D.
+def _topmost_artist(
+        artists,
+        _cached_max=functools.partial(max, key=operator.attrgetter("zorder"))):
     """
-    mask = mask.reshape(mask.size)
-    m = np.concatenate(((1,), mask, (1,)))
-    indices = np.arange(len(mask) + 1)
-    mdif = m[1:] - m[:-1]
-    i0 = np.compress(mdif == -1, indices)
-    i1 = np.compress(mdif == 1, indices)
-    assert len(i0) == len(i1)
-    if len(i1) == 0:
-        return None  # Maybe this should be np.zeros((0,2), dtype=int)
-    if not compressed:
-        return np.concatenate((i0[:, np.newaxis], i1[:, np.newaxis]), axis=1)
-    seglengths = i1 - i0
-    breakpoints = np.cumsum(seglengths)
-    ic0 = np.concatenate(((0,), breakpoints[:-1]))
-    ic1 = breakpoints
-    return np.concatenate((ic0[:, np.newaxis], ic1[:, np.newaxis]), axis=1)
+    Get the topmost artist of a list.
 
-# a dict to cross-map linestyle arguments
-_linestyles = [('-', 'solid'),
-               ('--', 'dashed'),
-               ('-.', 'dashdot'),
-               (':', 'dotted')]
+    In case of a tie, return the *last* of the tied artists, as it will be
+    drawn on top of the others. `max` returns the first maximum in case of
+    ties, so we need to iterate over the list in reverse order.
+    """
+    return _cached_max(reversed(artists))
 
-ls_mapper = dict(_linestyles)
-ls_mapper.update([(ls[1], ls[0]) for ls in _linestyles])
 
+def _str_equal(obj, s):
+    """
+    Return whether *obj* is a string equal to string *s*.
 
-def align_iterators(func, *iterables):
+    This helper solely exists to handle the case where *obj* is a numpy array,
+    because in such cases, a naive ``obj == s`` would yield an array, which
+    cannot be used in a boolean context.
     """
-    This generator takes a bunch of iterables that are ordered by func
-    It sends out ordered tuples::
+    return isinstance(obj, str) and obj == s
 
-       (func(row), [rows from all iterators matching func(row)])
 
-    It is used by :func:`matplotlib.mlab.recs_join` to join record arrays
+def _str_lower_equal(obj, s):
     """
-    class myiter:
-        def __init__(self, it):
-            self.it = it
-            self.key = self.value = None
-            self.iternext()
+    Return whether *obj* is a string equal, when lowercased, to string *s*.
 
-        def iternext(self):
-            try:
-                self.value = next(self.it)
-                self.key = func(self.value)
-            except StopIteration:
-                self.value = self.key = None
-
-        def __call__(self, key):
-            retval = None
-            if key == self.key:
-                retval = self.value
-                self.iternext()
-            elif self.key and key > self.key:
-                raise ValueError("Iterator has been left behind")
-            return retval
-
-    # This can be made more efficient by not computing the minimum key for each
-    # iteration
-    iters = [myiter(it) for it in iterables]
-    minvals = minkey = True
-    while 1:
-        minvals = ([_f for _f in [it.key for it in iters] if _f])
-        if minvals:
-            minkey = min(minvals)
-            yield (minkey, [it(minkey) for it in iters])
-        else:
-            break
+    This helper solely exists to handle the case where *obj* is a numpy array,
+    because in such cases, a naive ``obj == s`` would yield an array, which
+    cannot be used in a boolean context.
+    """
+    return isinstance(obj, str) and obj.lower() == s
 
 
-def is_math_text(s):
-    # Did we find an even number of non-escaped dollar signs?
-    # If so, treat is as math text.
-    try:
-        s = six.text_type(s)
-    except UnicodeDecodeError:
-        raise ValueError(
-            "matplotlib display text must have all code points < 128 or use "
-            "Unicode strings")
+def _array_perimeter(arr):
+    """
+    Get the elements on the perimeter of *arr*.
 
-    dollar_count = s.count(r'$') - s.count(r'\$')
-    even_dollars = (dollar_count > 0 and dollar_count % 2 == 0)
+    Parameters
+    ----------
+    arr : ndarray, shape (M, N)
+        The input array.
 
-    return even_dollars
+    Returns
+    -------
+    ndarray, shape (2*(M - 1) + 2*(N - 1),)
+        The elements on the perimeter of the array::
 
+           [arr[0, 0], ..., arr[0, -1], ..., arr[-1, -1], ..., arr[-1, 0], ...]
 
-def _reshape_2D(X):
+    Examples
+    --------
+    >>> i, j = np.ogrid[:3, :4]
+    >>> a = i*10 + j
+    >>> a
+    array([[ 0,  1,  2,  3],
+           [10, 11, 12, 13],
+           [20, 21, 22, 23]])
+    >>> _array_perimeter(a)
+    array([ 0,  1,  2,  3, 13, 23, 22, 21, 20, 10])
     """
-    Converts a non-empty list or an ndarray of two or fewer dimensions
-    into a list of iterable objects so that in
+    # note we use Python's half-open ranges to avoid repeating
+    # the corners
+    forward = np.s_[0:-1]      # [0 ... -1)
+    backward = np.s_[-1:0:-1]  # [-1 ... 0)
+    return np.concatenate((
+        arr[0, forward],
+        arr[forward, -1],
+        arr[-1, backward],
+        arr[backward, 0],
+    ))
 
-        for v in _reshape_2D(X):
 
-    v is iterable and can be used to instantiate a 1D array.
+def _unfold(arr, axis, size, step):
     """
-    if hasattr(X, 'shape'):
-        # one item
-        if len(X.shape) == 1:
-            if hasattr(X[0], 'shape'):
-                X = list(X)
-            else:
-                X = [X, ]
-
-        # several items
-        elif len(X.shape) == 2:
-            nrows, ncols = X.shape
-            if nrows == 1:
-                X = [X]
-            elif ncols == 1:
-                X = [X.ravel()]
-            else:
-                X = [X[:, i] for i in xrange(ncols)]
-        else:
-            raise ValueError("input `X` must have 2 or fewer dimensions")
+    Append an extra dimension containing sliding windows along *axis*.
 
-    if not hasattr(X[0], '__len__'):
-        X = [X]
-    else:
-        X = [np.ravel(x) for x in X]
+    All windows are of size *size* and begin with every *step* elements.
 
-    return X
+    Parameters
+    ----------
+    arr : ndarray, shape (N_1, ..., N_k)
+        The input array
+    axis : int
+        Axis along which the windows are extracted
+    size : int
+        Size of the windows
+    step : int
+        Stride between first elements of subsequent windows.
 
+    Returns
+    -------
+    ndarray, shape (N_1, ..., 1 + (N_axis-size)/step, ..., N_k, size)
 
-def violin_stats(X, method, points=100):
-    '''
-    Returns a list of dictionaries of data which can be used to draw a series
-    of violin plots. See the `Returns` section below to view the required keys
-    of the dictionary. Users can skip this function and pass a user-defined set
-    of dictionaries to the `axes.vplot` method instead of using MPL to do the
-    calculations.
+    Examples
+    --------
+    >>> i, j = np.ogrid[:3, :7]
+    >>> a = i*10 + j
+    >>> a
+    array([[ 0,  1,  2,  3,  4,  5,  6],
+           [10, 11, 12, 13, 14, 15, 16],
+           [20, 21, 22, 23, 24, 25, 26]])
+    >>> _unfold(a, axis=1, size=3, step=2)
+    array([[[ 0,  1,  2],
+            [ 2,  3,  4],
+            [ 4,  5,  6]],
+           [[10, 11, 12],
+            [12, 13, 14],
+            [14, 15, 16]],
+           [[20, 21, 22],
+            [22, 23, 24],
+            [24, 25, 26]]])
+    """
+    new_shape = [*arr.shape, size]
+    new_strides = [*arr.strides, arr.strides[axis]]
+    new_shape[axis] = (new_shape[axis] - size) // step + 1
+    new_strides[axis] = new_strides[axis] * step
+    return np.lib.stride_tricks.as_strided(arr,
+                                           shape=new_shape,
+                                           strides=new_strides,
+                                           writeable=False)
+
+
+def _array_patch_perimeters(x, rstride, cstride):
+    """
+    Extract perimeters of patches from *arr*.
+
+    Extracted patches are of size (*rstride* + 1) x (*cstride* + 1) and
+    share perimeters with their neighbors. The ordering of the vertices matches
+    that returned by ``_array_perimeter``.
 
     Parameters
     ----------
-    X : array-like
-        Sample data that will be used to produce the gaussian kernel density
-        estimates. Must have 2 or fewer dimensions.
-
-    method : callable
-        The method used to calculate the kernel density estimate for each
-        column of data. When called via `method(v, coords)`, it should
-        return a vector of the values of the KDE evaluated at the values
-        specified in coords.
-
-    points : scalar, default = 100
-        Defines the number of points to evaluate each of the gaussian kernel
-        density estimates at.
+    x : ndarray, shape (N, M)
+        Input array
+    rstride : int
+        Vertical (row) stride between corresponding elements of each patch
+    cstride : int
+        Horizontal (column) stride between corresponding elements of each patch
 
     Returns
     -------
+    ndarray, shape (N/rstride * M/cstride, 2 * (rstride + cstride))
+    """
+    assert rstride > 0 and cstride > 0
+    assert (x.shape[0] - 1) % rstride == 0
+    assert (x.shape[1] - 1) % cstride == 0
+    # We build up each perimeter from four half-open intervals. Here is an
+    # illustrated explanation for rstride == cstride == 3
+    #
+    #       T T T R
+    #       L     R
+    #       L     R
+    #       L B B B
+    #
+    # where T means that this element will be in the top array, R for right,
+    # B for bottom and L for left. Each of the arrays below has a shape of:
+    #
+    #    (number of perimeters that can be extracted vertically,
+    #     number of perimeters that can be extracted horizontally,
+    #     cstride for top and bottom and rstride for left and right)
+    #
+    # Note that _unfold doesn't incur any memory copies, so the only costly
+    # operation here is the np.concatenate.
+    top = _unfold(x[:-1:rstride, :-1], 1, cstride, cstride)
+    bottom = _unfold(x[rstride::rstride, 1:], 1, cstride, cstride)[..., ::-1]
+    right = _unfold(x[:-1, cstride::cstride], 0, rstride, rstride)
+    left = _unfold(x[1:, :-1:cstride], 0, rstride, rstride)[..., ::-1]
+    return (np.concatenate((top, right, bottom, left), axis=2)
+              .reshape(-1, 2 * (rstride + cstride)))
+
+
+@contextlib.contextmanager
+def _setattr_cm(obj, **kwargs):
+    """
+    Temporarily set some attributes; restore original state at context exit.
+    """
+    sentinel = object()
+    origs = {}
+    for attr in kwargs:
+        orig = getattr(obj, attr, sentinel)
+        if attr in obj.__dict__ or orig is sentinel:
+            # if we are pulling from the instance dict or the object
+            # does not have this attribute we can trust the above
+            origs[attr] = orig
+        else:
+            # if the attribute is not in the instance dict it must be
+            # from the class level
+            cls_orig = getattr(type(obj), attr)
+            # if we are dealing with a property (but not a general descriptor)
+            # we want to set the original value back.
+            if isinstance(cls_orig, property):
+                origs[attr] = orig
+            # otherwise this is _something_ we are going to shadow at
+            # the instance dict level from higher up in the MRO.  We
+            # are going to assume we can delattr(obj, attr) to clean
+            # up after ourselves.  It is possible that this code will
+            # fail if used with a non-property custom descriptor which
+            # implements __set__ (and __delete__ does not act like a
+            # stack).  However, this is an internal tool and we do not
+            # currently have any custom descriptors.
+            else:
+                origs[attr] = sentinel
 
-    A list of dictionaries containing the results for each column of data.
-    The dictionaries contain at least the following:
+    try:
+        for attr, val in kwargs.items():
+            setattr(obj, attr, val)
+        yield
+    finally:
+        for attr, orig in origs.items():
+            if orig is sentinel:
+                delattr(obj, attr)
+            else:
+                setattr(obj, attr, orig)
 
-        - coords: A list of scalars containing the coordinates this particular
-          kernel density estimate was evaluated at.
-        - vals: A list of scalars containing the values of the kernel density
-          estimate at each of the coordinates given in `coords`.
-        - mean: The mean value for this column of data.
-        - median: The median value for this column of data.
-        - min: The minimum value for this column of data.
-        - max: The maximum value for this column of data.
-    '''
 
-    # List of dictionaries describing each of the violins.
-    vpstats = []
+class _OrderedSet(collections.abc.MutableSet):
+    def __init__(self):
+        self._od = collections.OrderedDict()
 
-    # Want X to be a list of data sequences
-    X = _reshape_2D(X)
+    def __contains__(self, key):
+        return key in self._od
 
-    for x in X:
-        # Dictionary of results for this distribution
-        stats = {}
+    def __iter__(self):
+        return iter(self._od)
 
-        # Calculate basic stats for the distribution
-        min_val = np.min(x)
-        max_val = np.max(x)
+    def __len__(self):
+        return len(self._od)
 
-        # Evaluate the kernel density estimate
-        coords = np.linspace(min_val, max_val, points)
-        stats['vals'] = method(x, coords)
-        stats['coords'] = coords
+    def add(self, key):
+        self._od.pop(key, None)
+        self._od[key] = None
 
-        # Store additional statistics for this distribution
-        stats['mean'] = np.mean(x)
-        stats['median'] = np.median(x)
-        stats['min'] = min_val
-        stats['max'] = max_val
+    def discard(self, key):
+        self._od.pop(key, None)
 
-        # Append to output
-        vpstats.append(stats)
 
-    return vpstats
+# Agg's buffers are unmultiplied RGBA8888, which neither PyQt<=5.1 nor cairo
+# support; however, both do support premultiplied ARGB32.
+
+
+def _premultiplied_argb32_to_unmultiplied_rgba8888(buf):
+    """
+    Convert a premultiplied ARGB32 buffer to an unmultiplied RGBA8888 buffer.
+    """
+    rgba = np.take(  # .take() ensures C-contiguity of the result.
+        buf,
+        [2, 1, 0, 3] if sys.byteorder == "little" else [1, 2, 3, 0], axis=2)
+    rgb = rgba[..., :-1]
+    alpha = rgba[..., -1]
+    # Un-premultiply alpha.  The formula is the same as in cairo-png.c.
+    mask = alpha != 0
+    for channel in np.rollaxis(rgb, -1):
+        channel[mask] = (
+            (channel[mask].astype(int) * 255 + alpha[mask] // 2)
+            // alpha[mask])
+    return rgba
 
 
-class _NestedClassGetter(object):
-    # recipe from http://stackoverflow.com/a/11493777/741316
+def _unmultiplied_rgba8888_to_premultiplied_argb32(rgba8888):
     """
-    When called with the containing class as the first argument,
-    and the name of the nested class as the second argument,
-    returns an instance of the nested class.
+    Convert an unmultiplied RGBA8888 buffer to a premultiplied ARGB32 buffer.
     """
-    def __call__(self, containing_class, class_name):
-        nested_class = getattr(containing_class, class_name)
+    if sys.byteorder == "little":
+        argb32 = np.take(rgba8888, [2, 1, 0, 3], axis=2)
+        rgb24 = argb32[..., :-1]
+        alpha8 = argb32[..., -1:]
+    else:
+        argb32 = np.take(rgba8888, [3, 0, 1, 2], axis=2)
+        alpha8 = argb32[..., :1]
+        rgb24 = argb32[..., 1:]
+    # Only bother premultiplying when the alpha channel is not fully opaque,
+    # as the cost is not negligible.  The unsafe cast is needed to do the
+    # multiplication in-place in an integer buffer.
+    if alpha8.min() != 0xff:
+        np.multiply(rgb24, alpha8 / 0xff, out=rgb24, casting="unsafe")
+    return argb32
+
+
+def _get_nonzero_slices(buf):
+    """
+    Return the bounds of the nonzero region of a 2D array as a pair of slices.
+
+    ``buf[_get_nonzero_slices(buf)]`` is the smallest sub-rectangle in *buf*
+    that encloses all non-zero entries in *buf*.  If *buf* is fully zero, then
+    ``(slice(0, 0), slice(0, 0))`` is returned.
+    """
+    x_nz, = buf.any(axis=0).nonzero()
+    y_nz, = buf.any(axis=1).nonzero()
+    if len(x_nz) and len(y_nz):
+        l, r = x_nz[[0, -1]]
+        b, t = y_nz[[0, -1]]
+        return slice(b, t + 1), slice(l, r + 1)
+    else:
+        return slice(0, 0), slice(0, 0)
 
-        # make an instance of a simple object (this one will do), for which we
-        # can change the __class__ later on.
-        nested_instance = _NestedClassGetter()
 
-        # set the class of the instance, the __init__ will never be called on
-        # the class but the original state will be set later on by pickle.
-        nested_instance.__class__ = nested_class
-        return nested_instance
+def _pformat_subprocess(command):
+    """Pretty-format a subprocess command for printing/logging purposes."""
+    return (command if isinstance(command, str)
+            else " ".join(shlex.quote(os.fspath(arg)) for arg in command))
 
 
-class _InstanceMethodPickler(object):
+def _check_and_log_subprocess(command, logger, **kwargs):
     """
-    Pickle cannot handle instancemethod saving. _InstanceMethodPickler
-    provides a solution to this.
+    Run *command*, returning its stdout output if it succeeds.
+
+    If it fails (exits with nonzero return code), raise an exception whose text
+    includes the failed command and captured stdout and stderr output.
+
+    Regardless of the return code, the command is logged at DEBUG level on
+    *logger*.  In case of success, the output is likewise logged.
     """
-    def __init__(self, instancemethod):
-        """Takes an instancemethod as its only argument."""
-        if six.PY3:
-            self.parent_obj = instancemethod.__self__
-            self.instancemethod_name = instancemethod.__func__.__name__
-        else:
-            self.parent_obj = instancemethod.im_self
-            self.instancemethod_name = instancemethod.im_func.__name__
+    logger.debug('%s', _pformat_subprocess(command))
+    proc = subprocess.run(command, capture_output=True, **kwargs)
+    if proc.returncode:
+        stdout = proc.stdout
+        if isinstance(stdout, bytes):
+            stdout = stdout.decode()
+        stderr = proc.stderr
+        if isinstance(stderr, bytes):
+            stderr = stderr.decode()
+        raise RuntimeError(
+            f"The command\n"
+            f"    {_pformat_subprocess(command)}\n"
+            f"failed and generated the following output:\n"
+            f"{stdout}\n"
+            f"and the following error:\n"
+            f"{stderr}")
+    if proc.stdout:
+        logger.debug("stdout:\n%s", proc.stdout)
+    if proc.stderr:
+        logger.debug("stderr:\n%s", proc.stderr)
+    return proc.stdout
+
+
+def _setup_new_guiapp():
+    """
+    Perform OS-dependent setup when Matplotlib creates a new GUI application.
+    """
+    # Windows: If not explicit app user model id has been set yet (so we're not
+    # already embedded), then set it to "matplotlib", so that taskbar icons are
+    # correct.
+    try:
+        _c_internal_utils.Win32_GetCurrentProcessExplicitAppUserModelID()
+    except OSError:
+        _c_internal_utils.Win32_SetCurrentProcessExplicitAppUserModelID(
+            "matplotlib")
 
-    def get_instancemethod(self):
-        return getattr(self.parent_obj, self.instancemethod_name)
 
+def _format_approx(number, precision):
+    """
+    Format the number with at most the number of decimals given as precision.
+    Remove trailing zeros and possibly the decimal point.
+    """
+    return f'{number:.{precision}f}'.rstrip('0').rstrip('.') or '0'
 
-# Numpy > 1.6.x deprecates putmask in favor of the new copyto.
-# So long as we support versions 1.6.x and less, we need the
-# following local version of putmask.  We choose to make a
-# local version of putmask rather than of copyto because the
-# latter includes more functionality than the former. Therefore
-# it is easy to make a local version that gives full putmask
-# behavior, but duplicating the full copyto behavior would be
-# more difficult.
 
-try:
-    np.copyto
-except AttributeError:
-    _putmask = np.putmask
-else:
-    def _putmask(a, mask, values):
-        return np.copyto(a, values, where=mask)
+def _g_sig_digits(value, delta):
+    """
+    Return the number of significant digits to %g-format *value*, assuming that
+    it is known with an error of *delta*.
+    """
+    if delta == 0:
+        if value == 0:
+            # if both value and delta are 0, np.spacing below returns 5e-324
+            # which results in rather silly results
+            return 3
+        # delta = 0 may occur when trying to format values over a tiny range;
+        # in that case, replace it by the distance to the closest float.
+        delta = abs(np.spacing(value))
+    # If e.g. value = 45.67 and delta = 0.02, then we want to round to 2 digits
+    # after the decimal point (floor(log10(0.02)) = -2); 45.67 contributes 2
+    # digits before the decimal point (floor(log10(45.67)) + 1 = 2): the total
+    # is 4 significant digits.  A value of 0 contributes 1 "digit" before the
+    # decimal point.
+    # For inf or nan, the precision doesn't matter.
+    return max(
+        0,
+        (math.floor(math.log10(abs(value))) + 1 if value else 1)
+        - math.floor(math.log10(delta))) if math.isfinite(value) else 0
+
+
+def _unikey_or_keysym_to_mplkey(unikey, keysym):
+    """
+    Convert a Unicode key or X keysym to a Matplotlib key name.
+
+    The Unicode key is checked first; this avoids having to list most printable
+    keysyms such as ``EuroSign``.
+    """
+    # For non-printable characters, gtk3 passes "\0" whereas tk passes an "".
+    if unikey and unikey.isprintable():
+        return unikey
+    key = keysym.lower()
+    if key.startswith("kp_"):  # keypad_x (including kp_enter).
+        key = key[3:]
+    if key.startswith("page_"):  # page_{up,down}
+        key = key.replace("page_", "page")
+    if key.endswith(("_l", "_r")):  # alt_l, ctrl_l, shift_l.
+        key = key[:-2]
+    if sys.platform == "darwin" and key == "meta":
+        # meta should be reported as command on mac
+        key = "cmd"
+    key = {
+        "return": "enter",
+        "prior": "pageup",  # Used by tk.
+        "next": "pagedown",  # Used by tk.
+    }.get(key, key)
+    return key
+
+
+@functools.cache
+def _make_class_factory(mixin_class, fmt, attr_name=None):
+    """
+    Return a function that creates picklable classes inheriting from a mixin.
+
+    After ::
+
+        factory = _make_class_factory(FooMixin, fmt, attr_name)
+        FooAxes = factory(Axes)
+
+    ``Foo`` is a class that inherits from ``FooMixin`` and ``Axes`` and **is
+    picklable** (picklability is what differentiates this from a plain call to
+    `type`).  Its ``__name__`` is set to ``fmt.format(Axes.__name__)`` and the
+    base class is stored in the ``attr_name`` attribute, if not None.
+
+    Moreover, the return value of ``factory`` is memoized: calls with the same
+    ``Axes`` class always return the same subclass.
+    """
+
+    @functools.cache
+    def class_factory(axes_class):
+        # if we have already wrapped this class, declare victory!
+        if issubclass(axes_class, mixin_class):
+            return axes_class
+
+        # The parameter is named "axes_class" for backcompat but is really just
+        # a base class; no axes semantics are used.
+        base_class = axes_class
+
+        class subcls(mixin_class, base_class):
+            # Better approximation than __module__ = "matplotlib.cbook".
+            __module__ = mixin_class.__module__
+
+            def __reduce__(self):
+                return (_picklable_class_constructor,
+                        (mixin_class, fmt, attr_name, base_class),
+                        self.__getstate__())
+
+        subcls.__name__ = subcls.__qualname__ = fmt.format(base_class.__name__)
+        if attr_name is not None:
+            setattr(subcls, attr_name, base_class)
+        return subcls
+
+    class_factory.__module__ = mixin_class.__module__
+    return class_factory
+
+
+def _picklable_class_constructor(mixin_class, fmt, attr_name, base_class):
+    """Internal helper for _make_class_factory."""
+    factory = _make_class_factory(mixin_class, fmt, attr_name)
+    cls = factory(base_class)
+    return cls.__new__(cls)
+
+
+def _is_torch_array(x):
+    """Return whether *x* is a PyTorch Tensor."""
+    try:
+        # We're intentionally not attempting to import torch. If somebody
+        # has created a torch array, torch should already be in sys.modules.
+        tp = sys.modules.get("torch").Tensor
+    except AttributeError:
+        return False  # Module not imported or a nonstandard module with no Tensor attr.
+    return (isinstance(tp, type)  # Just in case it's a very nonstandard module.
+            and isinstance(x, tp))
+
+
+def _is_jax_array(x):
+    """Return whether *x* is a JAX Array."""
+    try:
+        # We're intentionally not attempting to import jax. If somebody
+        # has created a jax array, jax should already be in sys.modules.
+        tp = sys.modules.get("jax").Array
+    except AttributeError:
+        return False  # Module not imported or a nonstandard module with no Array attr.
+    return (isinstance(tp, type)  # Just in case it's a very nonstandard module.
+            and isinstance(x, tp))
+
+
+def _is_pandas_dataframe(x):
+    """Check if *x* is a Pandas DataFrame."""
+    try:
+        # We're intentionally not attempting to import Pandas. If somebody
+        # has created a Pandas DataFrame, Pandas should already be in sys.modules.
+        tp = sys.modules.get("pandas").DataFrame
+    except AttributeError:
+        return False  # Module not imported or a nonstandard module with no Array attr.
+    return (isinstance(tp, type)  # Just in case it's a very nonstandard module.
+            and isinstance(x, tp))
+
+
+def _is_tensorflow_array(x):
+    """Return whether *x* is a TensorFlow Tensor or Variable."""
+    try:
+        # We're intentionally not attempting to import TensorFlow. If somebody
+        # has created a TensorFlow array, TensorFlow should already be in
+        # sys.modules we use `is_tensor` to not depend on the class structure
+        # of TensorFlow arrays, as `tf.Variables` are not instances of
+        # `tf.Tensor` (they both convert the same way).
+        is_tensor = sys.modules.get("tensorflow").is_tensor
+    except AttributeError:
+        return False
+    try:
+        return is_tensor(x)
+    except Exception:
+        return False  # Just in case it's a very nonstandard module.
+
+
+def _unpack_to_numpy(x):
+    """Internal helper to extract data from e.g. pandas and xarray objects."""
+    if isinstance(x, np.ndarray):
+        # If numpy, return directly
+        return x
+    if hasattr(x, 'to_numpy'):
+        # Assume that any to_numpy() method actually returns a numpy array
+        return x.to_numpy()
+    if hasattr(x, 'values'):
+        xtmp = x.values
+        # For example a dict has a 'values' attribute, but it is not a property
+        # so in this case we do not want to return a function
+        if isinstance(xtmp, np.ndarray):
+            return xtmp
+    if _is_torch_array(x) or _is_jax_array(x) or _is_tensorflow_array(x):
+        # using np.asarray() instead of explicitly __array__(), as the latter is
+        # only _one_ of many methods, and it's the last resort, see also
+        # https://numpy.org/devdocs/user/basics.interoperability.html#using-arbitrary-objects-in-numpy
+        # therefore, let arrays do better if they can
+        xtmp = np.asarray(x)
+
+        # In case np.asarray method does not return a numpy array in future
+        if isinstance(xtmp, np.ndarray):
+            return xtmp
+    return x
+
+
+def _auto_format_str(fmt, value):
+    """
+    Apply *value* to the format string *fmt*.
+
+    This works both with unnamed %-style formatting and
+    unnamed {}-style formatting. %-style formatting has priority.
+    If *fmt* is %-style formattable that will be used. Otherwise,
+    {}-formatting is applied. Strings without formatting placeholders
+    are passed through as is.
+
+    Examples
+    --------
+    >>> _auto_format_str('%.2f m', 0.2)
+    '0.20 m'
+    >>> _auto_format_str('{} m', 0.2)
+    '0.2 m'
+    >>> _auto_format_str('const', 0.2)
+    'const'
+    >>> _auto_format_str('%d or {}', 0.2)
+    '0 or {}'
+    """
+    try:
+        return fmt % (value,)
+    except (TypeError, ValueError):
+        return fmt.format(value)
diff --git a/lib/matplotlib/cbook.pyi b/lib/matplotlib/cbook.pyi
new file mode 100644
index 000000000000..6c2d9c303eb2
--- /dev/null
+++ b/lib/matplotlib/cbook.pyi
@@ -0,0 +1,175 @@
+import collections.abc
+from collections.abc import Callable, Collection, Generator, Iterable, Iterator
+import contextlib
+import os
+from pathlib import Path
+
+from matplotlib.artist import Artist
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+from typing import (
+    Any,
+    Generic,
+    IO,
+    Literal,
+    Sequence,
+    TypeVar,
+    overload,
+)
+
+_T = TypeVar("_T")
+
+def _get_running_interactive_framework() -> str | None: ...
+
+class CallbackRegistry:
+    exception_handler: Callable[[Exception], Any]
+    callbacks: dict[Any, dict[int, Any]]
+    def __init__(
+        self,
+        exception_handler: Callable[[Exception], Any] | None = ...,
+        *,
+        signals: Iterable[Any] | None = ...,
+    ) -> None: ...
+    def connect(self, signal: Any, func: Callable) -> int: ...
+    def disconnect(self, cid: int) -> None: ...
+    def process(self, s: Any, *args, **kwargs) -> None: ...
+    def blocked(
+        self, *, signal: Any | None = ...
+    ) -> contextlib.AbstractContextManager[None]: ...
+
+class silent_list(list[_T]):
+    type: str | None
+    def __init__(self, type: str | None, seq: Iterable[_T] | None = ...) -> None: ...
+
+def strip_math(s: str) -> str: ...
+def is_writable_file_like(obj: Any) -> bool: ...
+def file_requires_unicode(x: Any) -> bool: ...
+@overload
+def to_filehandle(
+    fname: str | os.PathLike | IO,
+    flag: str = ...,
+    return_opened: Literal[False] = ...,
+    encoding: str | None = ...,
+) -> IO: ...
+@overload
+def to_filehandle(
+    fname: str | os.PathLike | IO,
+    flag: str,
+    return_opened: Literal[True],
+    encoding: str | None = ...,
+) -> tuple[IO, bool]: ...
+@overload
+def to_filehandle(
+    fname: str | os.PathLike | IO,
+    *,  # if flag given, will match previous sig
+    return_opened: Literal[True],
+    encoding: str | None = ...,
+) -> tuple[IO, bool]: ...
+def open_file_cm(
+    path_or_file: str | os.PathLike | IO,
+    mode: str = ...,
+    encoding: str | None = ...,
+) -> contextlib.AbstractContextManager[IO]: ...
+def is_scalar_or_string(val: Any) -> bool: ...
+@overload
+def get_sample_data(
+    fname: str | os.PathLike, asfileobj: Literal[True] = ...
+) -> np.ndarray | IO: ...
+@overload
+def get_sample_data(fname: str | os.PathLike, asfileobj: Literal[False]) -> str: ...
+def _get_data_path(*args: Path | str) -> Path: ...
+def flatten(
+    seq: Iterable[Any], scalarp: Callable[[Any], bool] = ...
+) -> Generator[Any, None, None]: ...
+
+class _Stack(Generic[_T]):
+    def __init__(self) -> None: ...
+    def clear(self) -> None: ...
+    def __call__(self) -> _T: ...
+    def __len__(self) -> int: ...
+    def __getitem__(self, ind: int) -> _T: ...
+    def forward(self) -> _T: ...
+    def back(self) -> _T: ...
+    def push(self, o: _T) -> _T: ...
+    def home(self) -> _T: ...
+
+def safe_masked_invalid(x: ArrayLike, copy: bool = ...) -> np.ndarray: ...
+def print_cycles(
+    objects: Iterable[Any], outstream: IO = ..., show_progress: bool = ...
+) -> None: ...
+
+class Grouper(Generic[_T]):
+    def __init__(self, init: Iterable[_T] = ...) -> None: ...
+    def __contains__(self, item: _T) -> bool: ...
+    def join(self, a: _T, *args: _T) -> None: ...
+    def joined(self, a: _T, b: _T) -> bool: ...
+    def remove(self, a: _T) -> None: ...
+    def __iter__(self) -> Iterator[list[_T]]: ...
+    def get_siblings(self, a: _T) -> list[_T]: ...
+
+class GrouperView(Generic[_T]):
+    def __init__(self, grouper: Grouper[_T]) -> None: ...
+    def __contains__(self, item: _T) -> bool: ...
+    def __iter__(self) -> Iterator[list[_T]]: ...
+    def joined(self, a: _T, b: _T) -> bool: ...
+    def get_siblings(self, a: _T) -> list[_T]: ...
+
+def simple_linear_interpolation(a: ArrayLike, steps: int) -> np.ndarray: ...
+def delete_masked_points(*args): ...
+def _broadcast_with_masks(*args: ArrayLike, compress: bool = ...) -> list[ArrayLike]: ...
+def boxplot_stats(
+    X: ArrayLike,
+    whis: float | tuple[float, float] = ...,
+    bootstrap: int | None = ...,
+    labels: ArrayLike | None = ...,
+    autorange: bool = ...,
+) -> list[dict[str, Any]]: ...
+
+ls_mapper: dict[str, str]
+ls_mapper_r: dict[str, str]
+
+def contiguous_regions(mask: ArrayLike) -> list[np.ndarray]: ...
+def is_math_text(s: str) -> bool: ...
+def violin_stats(
+    X: ArrayLike, method: Callable, points: int = ..., quantiles: ArrayLike | None = ...
+) -> list[dict[str, Any]]: ...
+def pts_to_prestep(x: ArrayLike, *args: ArrayLike) -> np.ndarray: ...
+def pts_to_poststep(x: ArrayLike, *args: ArrayLike) -> np.ndarray: ...
+def pts_to_midstep(x: np.ndarray, *args: np.ndarray) -> np.ndarray: ...
+
+STEP_LOOKUP_MAP: dict[str, Callable]
+
+def index_of(y: float | ArrayLike) -> tuple[np.ndarray, np.ndarray]: ...
+def safe_first_element(obj: Collection[_T]) -> _T: ...
+def sanitize_sequence(data): ...
+def _resize_sequence(seq: Sequence, N: int) -> Sequence: ...
+def normalize_kwargs(
+    kw: dict[str, Any],
+    alias_mapping: dict[str, list[str]] | type[Artist] | Artist | None = ...,
+) -> dict[str, Any]: ...
+def _lock_path(path: str | os.PathLike) -> contextlib.AbstractContextManager[None]: ...
+def _str_equal(obj: Any, s: str) -> bool: ...
+def _str_lower_equal(obj: Any, s: str) -> bool: ...
+def _array_perimeter(arr: np.ndarray) -> np.ndarray: ...
+def _unfold(arr: np.ndarray, axis: int, size: int, step: int) -> np.ndarray: ...
+def _array_patch_perimeters(x: np.ndarray, rstride: int, cstride: int) -> np.ndarray: ...
+def _setattr_cm(obj: Any, **kwargs) -> contextlib.AbstractContextManager[None]: ...
+
+class _OrderedSet(collections.abc.MutableSet):
+    def __init__(self) -> None: ...
+    def __contains__(self, key) -> bool: ...
+    def __iter__(self): ...
+    def __len__(self) -> int: ...
+    def add(self, key) -> None: ...
+    def discard(self, key) -> None: ...
+
+def _setup_new_guiapp() -> None: ...
+def _format_approx(number: float, precision: int) -> str: ...
+def _g_sig_digits(value: float, delta: float) -> int: ...
+def _unikey_or_keysym_to_mplkey(unikey: str, keysym: str) -> str: ...
+def _is_torch_array(x: Any) -> bool: ...
+def _is_jax_array(x: Any) -> bool: ...
+def _unpack_to_numpy(x: Any) -> Any: ...
+def _auto_format_str(fmt: str, value: Any) -> str: ...
diff --git a/lib/matplotlib/cm.py b/lib/matplotlib/cm.py
index 90795c754186..ef5bf0719d3b 100644
--- a/lib/matplotlib/cm.py
+++ b/lib/matplotlib/cm.py
@@ -1,364 +1,272 @@
 """
-This module provides a large set of colormaps, functions for
-registering new colormaps and for getting a colormap by name,
-and a mixin class for adding color mapping functionality.
+Builtin colormaps, colormap handling utilities, and the `ScalarMappable` mixin.
 
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os
-
-import numpy as np
-from numpy import ma
-import matplotlib as mpl
-import matplotlib.colors as colors
-import matplotlib.cbook as cbook
-from matplotlib._cm import datad
-from matplotlib._cm import cubehelix
-
-cmap_d = dict()
-
-# reverse all the colormaps.
-# reversed colormaps have '_r' appended to the name.
-
-
-def _reverser(f):
-    def freversed(x):
-        return f(1 - x)
-    return freversed
-
-
-def revcmap(data):
-    """Can only handle specification *data* in dictionary format."""
-    data_r = {}
-    for key, val in six.iteritems(data):
-        if six.callable(val):
-            valnew = _reverser(val)
-                # This doesn't work: lambda x: val(1-x)
-                # The same "val" (the first one) is used
-                # each time, so the colors are identical
-                # and the result is shades of gray.
-        else:
-            # Flip x and exchange the y values facing x = 0 and x = 1.
-            valnew = [(1.0 - x, y1, y0) for x, y0, y1 in reversed(val)]
-        data_r[key] = valnew
-    return data_r
-
-
-def _reverse_cmap_spec(spec):
-    """Reverses cmap specification *spec*, can handle both dict and tuple
-    type specs."""
-
-    if 'red' in spec:
-        return revcmap(spec)
-    else:
-        revspec = list(reversed(spec))
-        if len(revspec[0]) == 2:    # e.g., (1, (1.0, 0.0, 1.0))
-            revspec = [(1.0 - a, b) for a, b in revspec]
-        return revspec
-
-
-def _generate_cmap(name, lutsize):
-    """Generates the requested cmap from it's name *name*.  The lut size is
-    *lutsize*."""
+.. seealso::
 
-    spec = datad[name]
+  :doc:`/gallery/color/colormap_reference` for a list of builtin colormaps.
 
-    # Generate the colormap object.
-    if 'red' in spec:
-        return colors.LinearSegmentedColormap(name, spec, lutsize)
-    else:
-        return colors.LinearSegmentedColormap.from_list(name, spec, lutsize)
+  :ref:`colormap-manipulation` for examples of how to make
+  colormaps.
 
-LUTSIZE = mpl.rcParams['image.lut']
+  :ref:`colormaps` an in-depth discussion of choosing
+  colormaps.
 
-# Generate the reversed specifications ...
-for cmapname in list(six.iterkeys(datad)):
-    spec = datad[cmapname]
-    spec_reversed = _reverse_cmap_spec(spec)
-    datad[cmapname + '_r'] = spec_reversed
+  :ref:`colormapnorms` for more details about data normalization.
+"""
 
-# Precache the cmaps with ``lutsize = LUTSIZE`` ...
+from collections.abc import Mapping
 
-# Use datad.keys() to also add the reversed ones added in the section above:
-for cmapname in six.iterkeys(datad):
-    cmap_d[cmapname] = _generate_cmap(cmapname, LUTSIZE)
+import matplotlib as mpl
+from matplotlib import _api, colors
+# TODO make this warn on access
+from matplotlib.colorizer import _ScalarMappable as ScalarMappable  # noqa
+from matplotlib._cm import datad
+from matplotlib._cm_listed import cmaps as cmaps_listed
+from matplotlib._cm_multivar import cmap_families as multivar_cmaps
+from matplotlib._cm_bivar import cmaps as bivar_cmaps
 
-locals().update(cmap_d)
 
-# Continue with definitions ...
+_LUTSIZE = mpl.rcParams['image.lut']
 
 
-def register_cmap(name=None, cmap=None, data=None, lut=None):
+def _gen_cmap_registry():
+    """
+    Generate a dict mapping standard colormap names to standard colormaps, as
+    well as the reversed colormaps.
     """
-    Add a colormap to the set recognized by :func:`get_cmap`.
+    cmap_d = {**cmaps_listed}
+    for name, spec in datad.items():
+        cmap_d[name] = (  # Precache the cmaps at a fixed lutsize..
+            colors.LinearSegmentedColormap(name, spec, _LUTSIZE)
+            if 'red' in spec else
+            colors.ListedColormap(spec['listed'], name)
+            if 'listed' in spec else
+            colors.LinearSegmentedColormap.from_list(name, spec, _LUTSIZE))
+
+    # Register colormap aliases for gray and grey.
+    aliases = {
+        # alias -> original name
+        'grey': 'gray',
+        'gist_grey': 'gist_gray',
+        'gist_yerg': 'gist_yarg',
+        'Grays': 'Greys',
+    }
+    for alias, original_name in aliases.items():
+        cmap = cmap_d[original_name].copy()
+        cmap.name = alias
+        cmap_d[alias] = cmap
+
+    # Generate reversed cmaps.
+    for cmap in list(cmap_d.values()):
+        rmap = cmap.reversed()
+        cmap_d[rmap.name] = rmap
+    return cmap_d
+
+
+class ColormapRegistry(Mapping):
+    r"""
+    Container for colormaps that are known to Matplotlib by name.
+
+    The universal registry instance is `matplotlib.colormaps`. There should be
+    no need for users to instantiate `.ColormapRegistry` themselves.
+
+    Read access uses a dict-like interface mapping names to `.Colormap`\s::
+
+        import matplotlib as mpl
+        cmap = mpl.colormaps['viridis']
+
+    Returned `.Colormap`\s are copies, so that their modification does not
+    change the global definition of the colormap.
+
+    Additional colormaps can be added via `.ColormapRegistry.register`::
+
+        mpl.colormaps.register(my_colormap)
+
+    To get a list of all registered colormaps, you can do::
+
+        from matplotlib import colormaps
+        list(colormaps)
+    """
+    def __init__(self, cmaps):
+        self._cmaps = cmaps
+        self._builtin_cmaps = tuple(cmaps)
 
-    It can be used in two ways::
+    def __getitem__(self, item):
+        try:
+            return self._cmaps[item].copy()
+        except KeyError:
+            raise KeyError(f"{item!r} is not a known colormap name") from None
 
-        register_cmap(name='swirly', cmap=swirly_cmap)
+    def __iter__(self):
+        return iter(self._cmaps)
 
-        register_cmap(name='choppy', data=choppydata, lut=128)
+    def __len__(self):
+        return len(self._cmaps)
 
-    In the first case, *cmap* must be a :class:`matplotlib.colors.Colormap`
-    instance.  The *name* is optional; if absent, the name will
-    be the :attr:`~matplotlib.colors.Colormap.name` attribute of the *cmap*.
+    def __str__(self):
+        return ('ColormapRegistry; available colormaps:\n' +
+                ', '.join(f"'{name}'" for name in self))
 
-    In the second case, the three arguments are passed to
-    the :class:`~matplotlib.colors.LinearSegmentedColormap` initializer,
-    and the resulting colormap is registered.
+    def __call__(self):
+        """
+        Return a list of the registered colormap names.
 
-    """
-    if name is None:
-        try:
-            name = cmap.name
-        except AttributeError:
-            raise ValueError("Arguments must include a name or a Colormap")
+        This exists only for backward-compatibility in `.pyplot` which had a
+        ``plt.colormaps()`` method. The recommended way to get this list is
+        now ``list(colormaps)``.
+        """
+        return list(self)
 
-    if not cbook.is_string_like(name):
-        raise ValueError("Colormap name must be a string")
+    def register(self, cmap, *, name=None, force=False):
+        """
+        Register a new colormap.
 
-    if isinstance(cmap, colors.Colormap):
-        cmap_d[name] = cmap
-        return
+        The colormap name can then be used as a string argument to any ``cmap``
+        parameter in Matplotlib. It is also available in ``pyplot.get_cmap``.
 
-    # For the remainder, let exceptions propagate.
-    if lut is None:
-        lut = mpl.rcParams['image.lut']
-    cmap = colors.LinearSegmentedColormap(name, data, lut)
-    cmap_d[name] = cmap
+        The colormap registry stores a copy of the given colormap, so that
+        future changes to the original colormap instance do not affect the
+        registered colormap. Think of this as the registry taking a snapshot
+        of the colormap at registration.
 
+        Parameters
+        ----------
+        cmap : matplotlib.colors.Colormap
+            The colormap to register.
 
-def get_cmap(name=None, lut=None):
-    """
-    Get a colormap instance, defaulting to rc values if *name* is None.
+        name : str, optional
+            The name for the colormap. If not given, ``cmap.name`` is used.
 
-    Colormaps added with :func:`register_cmap` take precedence over
-    built-in colormaps.
+        force : bool, default: False
+            If False, a ValueError is raised if trying to overwrite an already
+            registered name. True supports overwriting registered colormaps
+            other than the builtin colormaps.
+        """
+        _api.check_isinstance(colors.Colormap, cmap=cmap)
+
+        name = name or cmap.name
+        if name in self:
+            if not force:
+                # don't allow registering an already existing cmap
+                # unless explicitly asked to
+                raise ValueError(
+                    f'A colormap named "{name}" is already registered.')
+            elif name in self._builtin_cmaps:
+                # We don't allow overriding a builtin.
+                raise ValueError("Re-registering the builtin cmap "
+                                 f"{name!r} is not allowed.")
+
+            # Warn that we are updating an already existing colormap
+            _api.warn_external(f"Overwriting the cmap {name!r} "
+                               "that was already in the registry.")
+
+        self._cmaps[name] = cmap.copy()
+        # Someone may set the extremes of a builtin colormap and want to register it
+        # with a different name for future lookups. The object would still have the
+        # builtin name, so we should update it to the registered name
+        if self._cmaps[name].name != name:
+            self._cmaps[name].name = name
+
+    def unregister(self, name):
+        """
+        Remove a colormap from the registry.
 
-    If *name* is a :class:`matplotlib.colors.Colormap` instance, it will be
-    returned.
+        You cannot remove built-in colormaps.
 
-    If *lut* is not None it must be an integer giving the number of
-    entries desired in the lookup table, and *name* must be a
-    standard mpl colormap name with a corresponding data dictionary
-    in *datad*.
-    """
-    if name is None:
-        name = mpl.rcParams['image.cmap']
+        If the named colormap is not registered, returns with no error, raises
+        if you try to de-register a default colormap.
 
-    if isinstance(name, colors.Colormap):
-        return name
+        .. warning::
 
-    if name in cmap_d:
-        if lut is None:
-            return cmap_d[name]
-        elif name in datad:
-            return _generate_cmap(name, lut)
-    else:
-        raise ValueError(
-            "Colormap %s is not recognized. Possible values are: %s"
-            % (name, ', '.join(cmap_d.keys())))
+            Colormap names are currently a shared namespace that may be used
+            by multiple packages. Use `unregister` only if you know you
+            have registered that name before. In particular, do not
+            unregister just in case to clean the name before registering a
+            new colormap.
 
+        Parameters
+        ----------
+        name : str
+            The name of the colormap to be removed.
 
-class ScalarMappable(object):
-    """
-    This is a mixin class to support scalar data to RGBA mapping.
-    The ScalarMappable makes use of data normalization before returning
-    RGBA colors from the given colormap.
+        Raises
+        ------
+        ValueError
+            If you try to remove a default built-in colormap.
+        """
+        if name in self._builtin_cmaps:
+            raise ValueError(f"cannot unregister {name!r} which is a builtin "
+                             "colormap.")
+        self._cmaps.pop(name, None)
 
-    """
-    def __init__(self, norm=None, cmap=None):
-        r"""
+    def get_cmap(self, cmap):
+        """
+        Return a color map specified through *cmap*.
 
         Parameters
         ----------
-        norm : :class:`matplotlib.colors.Normalize` instance
-            The normalizing object which scales data, typically into the
-            interval ``[0, 1]``.
-            If *None*, *norm* defaults to a *colors.Normalize* object which
-            initializes its scaling based on the first data processed.
-        cmap : str or :class:`~matplotlib.colors.Colormap` instance
-            The colormap used to map normalized data values to RGBA colors.
-        """
+        cmap : str or `~matplotlib.colors.Colormap` or None
 
-        self.callbacksSM = cbook.CallbackRegistry()
+            - if a `.Colormap`, return it
+            - if a string, look it up in ``mpl.colormaps``
+            - if None, return the Colormap defined in :rc:`image.cmap`
 
-        if cmap is None:
-            cmap = get_cmap()
-        if norm is None:
-            norm = colors.Normalize()
-
-        self._A = None
-        #: The Normalization instance of this ScalarMappable.
-        self.norm = norm
-        #: The Colormap instance of this ScalarMappable.
-        self.cmap = get_cmap(cmap)
-        #: The last colorbar associated with this ScalarMappable. May be None.
-        self.colorbar = None
-        self.update_dict = {'array': False}
-
-    @cbook.deprecated('1.3', alternative='the colorbar attribute')
-    def set_colorbar(self, im, ax):
-        """set the colorbar and axes instances associated with mappable"""
-        self.colorbar = im
-
-    def to_rgba(self, x, alpha=None, bytes=False):
-        """
-        Return a normalized rgba array corresponding to *x*.
-
-        In the normal case, *x* is a 1-D or 2-D sequence of scalars, and
-        the corresponding ndarray of rgba values will be returned,
-        based on the norm and colormap set for this ScalarMappable.
-
-        There is one special case, for handling images that are already
-        rgb or rgba, such as might have been read from an image file.
-        If *x* is an ndarray with 3 dimensions,
-        and the last dimension is either 3 or 4, then it will be
-        treated as an rgb or rgba array, and no mapping will be done.
-        If the last dimension is 3, the *alpha* kwarg (defaulting to 1)
-        will be used to fill in the transparency.  If the last dimension
-        is 4, the *alpha* kwarg is ignored; it does not
-        replace the pre-existing alpha.  A ValueError will be raised
-        if the third dimension is other than 3 or 4.
-
-        In either case, if *bytes* is *False* (default), the rgba
-        array will be floats in the 0-1 range; if it is *True*,
-        the returned rgba array will be uint8 in the 0 to 255 range.
-
-        Note: this method assumes the input is well-behaved; it does
-        not check for anomalies such as *x* being a masked rgba
-        array, or being an integer type other than uint8, or being
-        a floating point rgba array with values outside the 0-1 range.
-        """
-        # First check for special case, image input:
-        try:
-            if x.ndim == 3:
-                if x.shape[2] == 3:
-                    if alpha is None:
-                        alpha = 1
-                    if x.dtype == np.uint8:
-                        alpha = np.uint8(alpha * 255)
-                    m, n = x.shape[:2]
-                    xx = np.empty(shape=(m, n, 4), dtype=x.dtype)
-                    xx[:, :, :3] = x
-                    xx[:, :, 3] = alpha
-                elif x.shape[2] == 4:
-                    xx = x
-                else:
-                    raise ValueError("third dimension must be 3 or 4")
-                if bytes and xx.dtype != np.uint8:
-                    xx = (xx * 255).astype(np.uint8)
-                if not bytes and xx.dtype == np.uint8:
-                    xx = xx.astype(float) / 255
-                return xx
-        except AttributeError:
-            # e.g., x is not an ndarray; so try mapping it
-            pass
-
-        # This is the normal case, mapping a scalar array:
-        x = ma.asarray(x)
-        x = self.norm(x)
-        x = self.cmap(x, alpha=alpha, bytes=bytes)
-        return x
-
-    def set_array(self, A):
-        'Set the image array from numpy array *A*'
-        self._A = A
-        self.update_dict['array'] = True
-
-    def get_array(self):
-        'Return the array'
-        return self._A
-
-    def get_cmap(self):
-        'return the colormap'
-        return self.cmap
-
-    def get_clim(self):
-        'return the min, max of the color limits for image scaling'
-        return self.norm.vmin, self.norm.vmax
-
-    def set_clim(self, vmin=None, vmax=None):
+        Returns
+        -------
+        Colormap
         """
-        set the norm limits for image scaling; if *vmin* is a length2
-        sequence, interpret it as ``(vmin, vmax)`` which is used to
-        support setp
+        # get the default color map
+        if cmap is None:
+            return self[mpl.rcParams["image.cmap"]]
 
-        ACCEPTS: a length 2 sequence of floats
-        """
-        if (vmin is not None and vmax is None and
-                cbook.iterable(vmin) and len(vmin) == 2):
-            vmin, vmax = vmin
+        # if the user passed in a Colormap, simply return it
+        if isinstance(cmap, colors.Colormap):
+            return cmap
+        if isinstance(cmap, str):
+            _api.check_in_list(sorted(_colormaps), cmap=cmap)
+            # otherwise, it must be a string so look it up
+            return self[cmap]
+        raise TypeError(
+            'get_cmap expects None or an instance of a str or Colormap . ' +
+            f'you passed {cmap!r} of type {type(cmap)}'
+        )
 
-        if vmin is not None:
-            self.norm.vmin = vmin
-        if vmax is not None:
-            self.norm.vmax = vmax
-        self.changed()
 
-    def set_cmap(self, cmap):
-        """
-        set the colormap for luminance data
+# public access to the colormaps should be via `matplotlib.colormaps`. For now,
+# we still create the registry here, but that should stay an implementation
+# detail.
+_colormaps = ColormapRegistry(_gen_cmap_registry())
+globals().update(_colormaps)
 
-        ACCEPTS: a colormap or registered colormap name
-        """
-        cmap = get_cmap(cmap)
-        self.cmap = cmap
-        self.changed()
-
-    def set_norm(self, norm):
-        'set the normalization instance'
-        if norm is None:
-            norm = colors.Normalize()
-        self.norm = norm
-        self.changed()
-
-    def autoscale(self):
-        """
-        Autoscale the scalar limits on the norm instance using the
-        current array
-        """
-        if self._A is None:
-            raise TypeError('You must first set_array for mappable')
-        self.norm.autoscale(self._A)
-        self.changed()
+_multivar_colormaps = ColormapRegistry(multivar_cmaps)
 
-    def autoscale_None(self):
-        """
-        Autoscale the scalar limits on the norm instance using the
-        current array, changing only limits that are None
-        """
-        if self._A is None:
-            raise TypeError('You must first set_array for mappable')
-        self.norm.autoscale_None(self._A)
-        self.changed()
+_bivar_colormaps = ColormapRegistry(bivar_cmaps)
 
-    def add_checker(self, checker):
-        """
-        Add an entry to a dictionary of boolean flags
-        that are set to True when the mappable is changed.
-        """
-        self.update_dict[checker] = False
 
-    def check_update(self, checker):
-        """
-        If mappable has changed since the last check,
-        return True; else return False
-        """
-        if self.update_dict[checker]:
-            self.update_dict[checker] = False
-            return True
-        return False
+def _ensure_cmap(cmap):
+    """
+    Ensure that we have a `.Colormap` object.
 
-    def changed(self):
-        """
-        Call this whenever the mappable is changed to notify all the
-        callbackSM listeners to the 'changed' signal
-        """
-        self.callbacksSM.process('changed', self)
+    For internal use to preserve type stability of errors.
+
+    Parameters
+    ----------
+    cmap : None, str, Colormap
 
-        for key in self.update_dict:
-            self.update_dict[key] = True
+        - if a `Colormap`, return it
+        - if a string, look it up in mpl.colormaps
+        - if None, look up the default color map in mpl.colormaps
+
+    Returns
+    -------
+    Colormap
+
+    """
+    if isinstance(cmap, colors.Colormap):
+        return cmap
+    cmap_name = mpl._val_or_rc(cmap, "image.cmap")
+    # use check_in_list to ensure type stability of the exception raised by
+    # the internal usage of this (ValueError vs KeyError)
+    if cmap_name not in _colormaps:
+        _api.check_in_list(sorted(_colormaps), cmap=cmap_name)
+    return mpl.colormaps[cmap_name]
diff --git a/lib/matplotlib/cm.pyi b/lib/matplotlib/cm.pyi
new file mode 100644
index 000000000000..366b336fe04d
--- /dev/null
+++ b/lib/matplotlib/cm.pyi
@@ -0,0 +1,22 @@
+from collections.abc import Iterator, Mapping
+from matplotlib import colors
+from matplotlib.colorizer import _ScalarMappable
+
+
+class ColormapRegistry(Mapping[str, colors.Colormap]):
+    def __init__(self, cmaps: Mapping[str, colors.Colormap]) -> None: ...
+    def __getitem__(self, item: str) -> colors.Colormap: ...
+    def __iter__(self) -> Iterator[str]: ...
+    def __len__(self) -> int: ...
+    def __call__(self) -> list[str]: ...
+    def register(
+        self, cmap: colors.Colormap, *, name: str | None = ..., force: bool = ...
+    ) -> None: ...
+    def unregister(self, name: str) -> None: ...
+    def get_cmap(self, cmap: str | colors.Colormap) -> colors.Colormap: ...
+
+_colormaps: ColormapRegistry = ...
+_multivar_colormaps: ColormapRegistry = ...
+_bivar_colormaps: ColormapRegistry = ...
+
+ScalarMappable = _ScalarMappable
diff --git a/lib/matplotlib/collections.py b/lib/matplotlib/collections.py
index c81d598cd142..ec6d40805da0 100644
--- a/lib/matplotlib/collections.py
+++ b/lib/matplotlib/collections.py
@@ -6,212 +6,324 @@
 The classes are not meant to be as flexible as their single element
 counterparts (e.g., you may not be able to select all line styles) but
 they are meant to be fast for common use cases (e.g., a large set of solid
-line segemnts)
+line segments).
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
+import itertools
+import functools
+import math
+from numbers import Number, Real
 import warnings
+
 import numpy as np
-import numpy.ma as ma
+
 import matplotlib as mpl
-import matplotlib.cbook as cbook
-import matplotlib.colors as mcolors
-import matplotlib.cm as cm
-from matplotlib import docstring
-import matplotlib.transforms as transforms
-import matplotlib.artist as artist
-from matplotlib.artist import allow_rasterization
-import matplotlib.backend_bases as backend_bases
-import matplotlib.path as mpath
-from matplotlib import _path
-import matplotlib.mlab as mlab
-
-
-class Collection(artist.Artist, cm.ScalarMappable):
+from . import (_api, _path, artist, cbook, colorizer as mcolorizer, colors as mcolors,
+               _docstring, hatch as mhatch, lines as mlines, path as mpath, transforms)
+from ._enums import JoinStyle, CapStyle
+
+
+# "color" is excluded; it is a compound setter, and its docstring differs
+# in LineCollection.
+@_api.define_aliases({
+    "antialiased": ["antialiaseds", "aa"],
+    "edgecolor": ["edgecolors", "ec"],
+    "facecolor": ["facecolors", "fc"],
+    "linestyle": ["linestyles", "dashes", "ls"],
+    "linewidth": ["linewidths", "lw"],
+    "offset_transform": ["transOffset"],
+})
+class Collection(mcolorizer.ColorizingArtist):
+    r"""
+    Base class for Collections. Must be subclassed to be usable.
+
+    A Collection represents a sequence of `.Patch`\es that can be drawn
+    more efficiently together than individually. For example, when a single
+    path is being drawn repeatedly at different offsets, the renderer can
+    typically execute a ``draw_marker()`` call much more efficiently than a
+    series of repeated calls to ``draw_path()`` with the offsets put in
+    one-by-one.
+
+    Most properties of a collection can be configured per-element. Therefore,
+    Collections have "plural" versions of many of the properties of a `.Patch`
+    (e.g. `.Collection.get_paths` instead of `.Patch.get_path`). Exceptions are
+    the *zorder*, *hatch*, *pickradius*, *capstyle* and *joinstyle* properties,
+    which can only be set globally for the whole collection.
+
+    Besides these exceptions, all properties can be specified as single values
+    (applying to all elements) or sequences of values. The property of the
+    ``i``\th element of the collection is::
+
+      prop[i % len(prop)]
+
+    Each Collection can optionally be used as its own `.ScalarMappable` by
+    passing the *norm* and *cmap* parameters to its constructor. If the
+    Collection's `.ScalarMappable` matrix ``_A`` has been set (via a call
+    to `.Collection.set_array`), then at draw time this internal scalar
+    mappable will be used to set the ``facecolors`` and ``edgecolors``,
+    ignoring those that were manually passed in.
     """
-    Base class for Collections.  Must be subclassed to be usable.
-
-    All properties in a collection must be sequences or scalars;
-    if scalars, they will be converted to sequences.  The
-    property of the ith element of the collection is::
-
-      prop[i % len(props)]
-
-    Keyword arguments and default values:
-
-        * *edgecolors*: None
-        * *facecolors*: None
-        * *linewidths*: None
-        * *antialiaseds*: None
-        * *offsets*: None
-        * *transOffset*: transforms.IdentityTransform()
-        * *offset_position*: 'screen' (default) or 'data'
-        * *norm*: None (optional for
-          :class:`matplotlib.cm.ScalarMappable`)
-        * *cmap*: None (optional for
-          :class:`matplotlib.cm.ScalarMappable`)
-        * *hatch*: None
-        * *zorder*: 1
-
-
-    *offsets* and *transOffset* are used to translate the patch after
-    rendering (default no offsets).  If offset_position is 'screen'
-    (default) the offset is applied after the master transform has
-    been applied, that is, the offsets are in screen coordinates.  If
-    offset_position is 'data', the offset is applied before the master
-    transform, i.e., the offsets are in data coordinates.
-
-    If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
-    are None, they default to their :data:`matplotlib.rcParams` patch
-    setting, in sequence form.
-
-    The use of :class:`~matplotlib.cm.ScalarMappable` is optional.  If
-    the :class:`~matplotlib.cm.ScalarMappable` matrix _A is not None
-    (i.e., a call to set_array has been made), at draw time a call to
-    scalar mappable will be made to set the face colors.
-    """
-    _offsets = np.array([], np.float_)
-    # _offsets must be a Nx2 array!
-    _offsets.shape = (0, 2)
-    _transOffset = transforms.IdentityTransform()
-    _transforms = []
-
-
-
-    def __init__(self,
+    #: Either a list of 3x3 arrays or an Nx3x3 array (representing N
+    #: transforms), suitable for the `all_transforms` argument to
+    #: `~matplotlib.backend_bases.RendererBase.draw_path_collection`;
+    #: each 3x3 array is used to initialize an
+    #: `~matplotlib.transforms.Affine2D` object.
+    #: Each kind of collection defines this based on its arguments.
+    _transforms = np.empty((0, 3, 3))
+
+    # Whether to draw an edge by default.  Set on a
+    # subclass-by-subclass basis.
+    _edge_default = False
+
+    @_docstring.interpd
+    def __init__(self, *,
                  edgecolors=None,
                  facecolors=None,
+                 hatchcolors=None,
                  linewidths=None,
                  linestyles='solid',
+                 capstyle=None,
+                 joinstyle=None,
                  antialiaseds=None,
                  offsets=None,
-                 transOffset=None,
+                 offset_transform=None,
                  norm=None,  # optional for ScalarMappable
                  cmap=None,  # ditto
+                 colorizer=None,
                  pickradius=5.0,
                  hatch=None,
                  urls=None,
-                 offset_position='screen',
                  zorder=1,
                  **kwargs
                  ):
         """
-        Create a Collection
+        Parameters
+        ----------
+        edgecolors : :mpltype:`color` or list of colors, default: :rc:`patch.edgecolor`
+            Edge color for each patch making up the collection. The special
+            value 'face' can be passed to make the edgecolor match the
+            facecolor.
+        facecolors : :mpltype:`color` or list of colors, default: :rc:`patch.facecolor`
+            Face color for each patch making up the collection.
+        hatchcolors : :mpltype:`color` or list of colors, default: :rc:`hatch.color`
+            Hatch color for each patch making up the collection. The color
+            can be set to the special value 'edge' to make the hatchcolor match the
+            edgecolor.
+        linewidths : float or list of floats, default: :rc:`patch.linewidth`
+            Line width for each patch making up the collection.
+        linestyles : str or tuple or list thereof, default: 'solid'
+            Valid strings are ['solid', 'dashed', 'dashdot', 'dotted', '-',
+            '--', '-.', ':']. Dash tuples should be of the form::
 
-        %(Collection)s
-        """
-        artist.Artist.__init__(self)
-        cm.ScalarMappable.__init__(self, norm, cmap)
+                (offset, onoffseq),
 
-        self.set_edgecolor(edgecolors)
+            where *onoffseq* is an even length tuple of on and off ink lengths
+            in points. For examples, see
+            :doc:`/gallery/lines_bars_and_markers/linestyles`.
+        capstyle : `.CapStyle`-like, default: 'butt'
+            Style to use for capping lines for all paths in the collection.
+            Allowed values are %(CapStyle)s.
+        joinstyle : `.JoinStyle`-like, default: 'round'
+            Style to use for joining lines for all paths in the collection.
+            Allowed values are %(JoinStyle)s.
+        antialiaseds : bool or list of bool, default: :rc:`patch.antialiased`
+            Whether each patch in the collection should be drawn with
+            antialiasing.
+        offsets : (float, float) or list thereof, default: (0, 0)
+            A vector by which to translate each patch after rendering (default
+            is no translation). The translation is performed in screen (pixel)
+            coordinates (i.e. after the Artist's transform is applied).
+        offset_transform : `~.Transform`, default: `.IdentityTransform`
+            A single transform which will be applied to each *offsets* vector
+            before it is used.
+        cmap, norm
+            Data normalization and colormapping parameters. See
+            `.ScalarMappable` for a detailed description.
+        hatch : str, optional
+            Hatching pattern to use in filled paths, if any. Valid strings are
+            ['/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*']. See
+            :doc:`/gallery/shapes_and_collections/hatch_style_reference` for
+            the meaning of each hatch type.
+        pickradius : float, default: 5.0
+            If ``pickradius <= 0``, then `.Collection.contains` will return
+            ``True`` whenever the test point is inside of one of the polygons
+            formed by the control points of a Path in the Collection. On the
+            other hand, if it is greater than 0, then we instead check if the
+            test point is contained in a stroke of width ``2*pickradius``
+            following any of the Paths in the Collection.
+        urls : list of str, default: None
+            A URL for each patch to link to once drawn. Currently only works
+            for the SVG backend. See :doc:`/gallery/misc/hyperlinks_sgskip` for
+            examples.
+        zorder : float, default: 1
+            The drawing order, shared by all Patches in the Collection. See
+            :doc:`/gallery/misc/zorder_demo` for all defaults and examples.
+        **kwargs
+            Remaining keyword arguments will be used to set properties as
+            ``Collection.set_{key}(val)`` for each key-value pair in *kwargs*.
+        """
+
+        super().__init__(self._get_colorizer(cmap, norm, colorizer))
+        # list of un-scaled dash patterns
+        # this is needed scaling the dash pattern by linewidth
+        self._us_linestyles = [(0, None)]
+        # list of dash patterns
+        self._linestyles = [(0, None)]
+        # list of unbroadcast/scaled linewidths
+        self._us_lw = [0]
+        self._linewidths = [0]
+
+        self._gapcolor = None  # Currently only used by LineCollection.
+
+        # Flags set by _set_mappable_flags: are colors from mapping an array?
+        self._face_is_mapped = None
+        self._edge_is_mapped = None
+        self._mapped_colors = None  # calculated in update_scalarmappable
+        self._hatch_linewidth = mpl.rcParams['hatch.linewidth']
         self.set_facecolor(facecolors)
+        self.set_edgecolor(edgecolors)
         self.set_linewidth(linewidths)
         self.set_linestyle(linestyles)
         self.set_antialiased(antialiaseds)
         self.set_pickradius(pickradius)
         self.set_urls(urls)
         self.set_hatch(hatch)
-        self.set_offset_position(offset_position)
+        self.set_hatchcolor(hatchcolors)
         self.set_zorder(zorder)
 
-        self._uniform_offsets = None
-        self._offsets = np.array([[0, 0]], np.float_)
-        if offsets is not None:
-            offsets = np.asanyarray(offsets)
-            offsets.shape = (-1, 2)             # Make it Nx2
-            if transOffset is not None:
-                self._offsets = offsets
-                self._transOffset = transOffset
-            else:
-                self._uniform_offsets = offsets
+        if capstyle:
+            self.set_capstyle(capstyle)
+        else:
+            self._capstyle = None
 
-        self._path_effects = None
-        self.update(kwargs)
-        self._paths = None
+        if joinstyle:
+            self.set_joinstyle(joinstyle)
+        else:
+            self._joinstyle = None
 
-    @staticmethod
-    def _get_value(val):
-        try:
-            return (float(val), )
-        except TypeError:
-            if cbook.iterable(val) and len(val):
-                try:
-                    float(val[0])
-                except (TypeError, ValueError):
-                    pass  # raise below
-                else:
-                    return val
+        if offsets is not None:
+            offsets = np.asanyarray(offsets, float)
+            # Broadcast (2,) -> (1, 2) but nothing else.
+            if offsets.shape == (2,):
+                offsets = offsets[None, :]
 
-        raise TypeError('val must be a float or nonzero sequence of floats')
+        self._offsets = offsets
+        self._offset_transform = offset_transform
 
-    @staticmethod
-    def _get_bool(val):
-        if not cbook.iterable(val):
-            val = (val,)
-        try:
-            bool(val[0])
-        except (TypeError, IndexError):
-            raise TypeError('val must be a bool or nonzero sequence of them')
-        return val
+        self._path_effects = None
+        self._internal_update(kwargs)
+        self._paths = None
 
     def get_paths(self):
         return self._paths
 
-    def set_paths(self):
-        raise NotImplementedError
+    def set_paths(self, paths):
+        self._paths = paths
+        self.stale = True
 
     def get_transforms(self):
         return self._transforms
 
     def get_offset_transform(self):
-        t = self._transOffset
-        if (not isinstance(t, transforms.Transform)
-                and hasattr(t, '_as_mpl_transform')):
-            t = t._as_mpl_transform(self.axes)
-        return t
+        """Return the `.Transform` instance used by this artist offset."""
+        if self._offset_transform is None:
+            self._offset_transform = transforms.IdentityTransform()
+        elif (not isinstance(self._offset_transform, transforms.Transform)
+              and hasattr(self._offset_transform, '_as_mpl_transform')):
+            self._offset_transform = \
+                self._offset_transform._as_mpl_transform(self.axes)
+        return self._offset_transform
+
+    def set_offset_transform(self, offset_transform):
+        """
+        Set the artist offset transform.
+
+        Parameters
+        ----------
+        offset_transform : `.Transform`
+        """
+        self._offset_transform = offset_transform
 
     def get_datalim(self, transData):
+        # Calculate the data limits and return them as a `.Bbox`.
+        #
+        # This operation depends on the transforms for the data in the
+        # collection and whether the collection has offsets:
+        #
+        # 1. offsets = None, transform child of transData: use the paths for
+        # the automatic limits (i.e. for LineCollection in streamline).
+        # 2. offsets != None: offset_transform is child of transData:
+        #
+        #    a. transform is child of transData: use the path + offset for
+        #       limits (i.e for bar).
+        #    b. transform is not a child of transData: just use the offsets
+        #       for the limits (i.e. for scatter)
+        #
+        # 3. otherwise return a null Bbox.
+
         transform = self.get_transform()
-        transOffset = self.get_offset_transform()
-        offsets = self._offsets
+        offset_trf = self.get_offset_transform()
+        if not (isinstance(offset_trf, transforms.IdentityTransform)
+                or offset_trf.contains_branch(transData)):
+            # if the offsets are in some coords other than data,
+            # then don't use them for autoscaling.
+            return transforms.Bbox.null()
+
         paths = self.get_paths()
+        if not len(paths):
+            # No paths to transform
+            return transforms.Bbox.null()
 
         if not transform.is_affine:
             paths = [transform.transform_path_non_affine(p) for p in paths]
-            transform = transform.get_affine()
-        if not transOffset.is_affine:
-            offsets = transOffset.transform_non_affine(offsets)
-            transOffset = transOffset.get_affine()
-
-        offsets = np.asanyarray(offsets, np.float_)
-        if np.ma.isMaskedArray(offsets):
-            offsets = offsets.filled(np.nan)
-            # get_path_collection_extents handles nan but not masked arrays
-        offsets.shape = (-1, 2)                     # Make it Nx2
-
-        if len(paths) and len(offsets):
-            result = mpath.get_path_collection_extents(
-                transform.frozen(), paths, self.get_transforms(),
-                offsets, transOffset.frozen())
-            result = result.inverse_transformed(transData)
-        else:
-            result = transforms.Bbox.null()
-        return result
-
-    def get_window_extent(self, renderer):
-        # TODO:check to ensure that this does not fail for
+            # Don't convert transform to transform.get_affine() here because
+            # we may have transform.contains_branch(transData) but not
+            # transforms.get_affine().contains_branch(transData).  But later,
+            # be careful to only apply the affine part that remains.
+
+        offsets = self.get_offsets()
+
+        if any(transform.contains_branch_seperately(transData)):
+            # collections that are just in data units (like quiver)
+            # can properly have the axes limits set by their shape +
+            # offset.  LineCollections that have no offsets can
+            # also use this algorithm (like streamplot).
+            if isinstance(offsets, np.ma.MaskedArray):
+                offsets = offsets.filled(np.nan)
+                # get_path_collection_extents handles nan but not masked arrays
+            return mpath.get_path_collection_extents(
+                transform.get_affine() - transData, paths,
+                self.get_transforms(),
+                offset_trf.transform_non_affine(offsets),
+                offset_trf.get_affine().frozen())
+
+        # NOTE: None is the default case where no offsets were passed in
+        if self._offsets is not None:
+            # this is for collections that have their paths (shapes)
+            # in physical, axes-relative, or figure-relative units
+            # (i.e. like scatter). We can't uniquely set limits based on
+            # those shapes, so we just set the limits based on their
+            # location.
+            offsets = (offset_trf - transData).transform(offsets)
+            # note A-B means A B^{-1}
+            offsets = np.ma.masked_invalid(offsets)
+            if not offsets.mask.all():
+                bbox = transforms.Bbox.null()
+                bbox.update_from_data_xy(offsets)
+                return bbox
+        return transforms.Bbox.null()
+
+    def get_window_extent(self, renderer=None):
+        # TODO: check to ensure that this does not fail for
         # cases other than scatter plot legend
         return self.get_datalim(transforms.IdentityTransform())
 
     def _prepare_points(self):
-        """Point prep for drawing and hit testing"""
+        # Helper for drawing and hit testing.
 
         transform = self.get_transform()
-        transOffset = self.get_offset_transform()
-        offsets = self._offsets
+        offset_trf = self.get_offset_transform()
+        offsets = self.get_offsets()
         paths = self.get_paths()
 
         if self.have_units():
@@ -221,33 +333,28 @@ def _prepare_points(self):
                 xs, ys = vertices[:, 0], vertices[:, 1]
                 xs = self.convert_xunits(xs)
                 ys = self.convert_yunits(ys)
-                paths.append(mpath.Path(list(zip(xs, ys)), path.codes))
-
-            if offsets.size > 0:
-                xs = self.convert_xunits(offsets[:, 0])
-                ys = self.convert_yunits(offsets[:, 1])
-                offsets = list(zip(xs, ys))
-
-        offsets = np.asanyarray(offsets, np.float_)
-        offsets.shape = (-1, 2)             # Make it Nx2
+                paths.append(mpath.Path(np.column_stack([xs, ys]), path.codes))
+            xs = self.convert_xunits(offsets[:, 0])
+            ys = self.convert_yunits(offsets[:, 1])
+            offsets = np.ma.column_stack([xs, ys])
 
         if not transform.is_affine:
             paths = [transform.transform_path_non_affine(path)
                      for path in paths]
             transform = transform.get_affine()
-        if not transOffset.is_affine:
-            offsets = transOffset.transform_non_affine(offsets)
+        if not offset_trf.is_affine:
+            offsets = offset_trf.transform_non_affine(offsets)
             # This might have changed an ndarray into a masked array.
-            transOffset = transOffset.get_affine()
+            offset_trf = offset_trf.get_affine()
 
-        if np.ma.isMaskedArray(offsets):
+        if isinstance(offsets, np.ma.MaskedArray):
             offsets = offsets.filled(np.nan)
             # Changing from a masked array to nan-filled ndarray
             # is probably most efficient at this point.
 
-        return transform, transOffset, offsets, paths
+        return transform, offset_trf, offsets, paths
 
-    @allow_rasterization
+    @artist.allow_rasterization
     def draw(self, renderer):
         if not self.get_visible():
             return
@@ -255,7 +362,7 @@ def draw(self, renderer):
 
         self.update_scalarmappable()
 
-        transform, transOffset, offsets, paths = self._prepare_points()
+        transform, offset_trf, offsets, paths = self._prepare_points()
 
         gc = renderer.new_gc()
         self._set_gc_clip(gc)
@@ -263,6 +370,7 @@ def draw(self, renderer):
 
         if self._hatch:
             gc.set_hatch(self._hatch)
+            gc.set_hatch_linewidth(self._hatch_linewidth)
 
         if self.get_sketch_params() is not None:
             gc.set_sketch_params(*self.get_sketch_params())
@@ -271,40 +379,145 @@ def draw(self, renderer):
             from matplotlib.patheffects import PathEffectRenderer
             renderer = PathEffectRenderer(self.get_path_effects(), renderer)
 
+        # If the collection is made up of a single shape/color/stroke,
+        # it can be rendered once and blitted multiple times, using
+        # `draw_markers` rather than `draw_path_collection`.  This is
+        # *much* faster for Agg, and results in smaller file sizes in
+        # PDF/SVG/PS.
+
         trans = self.get_transforms()
         facecolors = self.get_facecolor()
         edgecolors = self.get_edgecolor()
+        do_single_path_optimization = False
         if (len(paths) == 1 and len(trans) <= 1 and
-            len(facecolors) == 1 and len(edgecolors) == 1 and
-            len(self._linewidths) == 1 and
-            self._linestyles == [(None, None)] and
-            len(self._antialiaseds) == 1 and len(self._urls) == 1 and
-            self.get_hatch() is None):
+                len(facecolors) == 1 and len(edgecolors) == 1 and
+                len(self._linewidths) == 1 and
+                all(ls[1] is None for ls in self._linestyles) and
+                len(self._antialiaseds) == 1 and len(self._urls) == 1 and
+                self.get_hatch() is None):
+            if len(trans):
+                combined_transform = transforms.Affine2D(trans[0]) + transform
+            else:
+                combined_transform = transform
+            extents = paths[0].get_extents(combined_transform)
+            if (extents.width < self.get_figure(root=True).bbox.width
+                    and extents.height < self.get_figure(root=True).bbox.height):
+                do_single_path_optimization = True
+
+        if self._joinstyle:
+            gc.set_joinstyle(self._joinstyle)
+
+        if self._capstyle:
+            gc.set_capstyle(self._capstyle)
+
+        if do_single_path_optimization:
             gc.set_foreground(tuple(edgecolors[0]))
             gc.set_linewidth(self._linewidths[0])
-            gc.set_linestyle(self._linestyles[0])
+            gc.set_dashes(*self._linestyles[0])
             gc.set_antialiased(self._antialiaseds[0])
             gc.set_url(self._urls[0])
-            if len(trans):
-                transform = (transforms.Affine2D(trans[0]) +
-                             transform)
             renderer.draw_markers(
-                gc, paths[0], transform.frozen(),
-                mpath.Path(offsets), transOffset, tuple(facecolors[0]))
+                gc, paths[0], combined_transform.frozen(),
+                mpath.Path(offsets), offset_trf, tuple(facecolors[0]))
         else:
-            renderer.draw_path_collection(
-                gc, transform.frozen(), paths,
-                self.get_transforms(), offsets, transOffset,
-                self.get_facecolor(), self.get_edgecolor(),
-                self._linewidths, self._linestyles,
-                self._antialiaseds, self._urls,
-                self._offset_position)
+            # The current new API of draw_path_collection() is provisional
+            # and will be changed in a future PR.
+
+            # Find whether renderer.draw_path_collection() takes hatchcolor parameter.
+            # Since third-party implementations of draw_path_collection() may not be
+            # introspectable, e.g. with inspect.signature, the only way is to try and
+            # call this with the hatchcolors parameter.
+            hatchcolors_arg_supported = True
+            try:
+                renderer.draw_path_collection(
+                    gc, transform.frozen(), [],
+                    self.get_transforms(), offsets, offset_trf,
+                    self.get_facecolor(), self.get_edgecolor(),
+                    self._linewidths, self._linestyles,
+                    self._antialiaseds, self._urls,
+                    "screen", hatchcolors=self.get_hatchcolor()
+                )
+            except TypeError:
+                # If the renderer does not support the hatchcolors argument,
+                # it will raise a TypeError. In this case, we will
+                # iterate over all paths and draw them one by one.
+                hatchcolors_arg_supported = False
+
+            # If the hatchcolors argument is not needed or not passed
+            # then we can skip the iteration over paths in case the
+            # argument is not supported by the renderer.
+            hatchcolors_not_needed = (self.get_hatch() is None or
+                                      self._original_hatchcolor is None)
+
+            if self._gapcolor is not None:
+                # First draw paths within the gaps.
+                ipaths, ilinestyles = self._get_inverse_paths_linestyles()
+                args = [offsets, offset_trf, [mcolors.to_rgba("none")], self._gapcolor,
+                        self._linewidths, ilinestyles, self._antialiaseds, self._urls,
+                        "screen"]
+
+                if hatchcolors_arg_supported:
+                    renderer.draw_path_collection(gc, transform.frozen(), ipaths,
+                                                  self.get_transforms(), *args,
+                                                  hatchcolors=self.get_hatchcolor())
+                else:
+                    if hatchcolors_not_needed:
+                        renderer.draw_path_collection(gc, transform.frozen(), ipaths,
+                                                      self.get_transforms(), *args)
+                    else:
+                        path_ids = renderer._iter_collection_raw_paths(
+                            transform.frozen(), ipaths, self.get_transforms())
+                        for xo, yo, path_id, gc0, rgbFace in renderer._iter_collection(
+                            gc, list(path_ids), *args,
+                            hatchcolors=self.get_hatchcolor(),
+                        ):
+                            path, transform = path_id
+                            if xo != 0 or yo != 0:
+                                transform = transform.frozen()
+                                transform.translate(xo, yo)
+                            renderer.draw_path(gc0, path, transform, rgbFace)
+
+            args = [offsets, offset_trf, self.get_facecolor(), self.get_edgecolor(),
+                    self._linewidths, self._linestyles, self._antialiaseds, self._urls,
+                    "screen"]
+
+            if hatchcolors_arg_supported:
+                renderer.draw_path_collection(gc, transform.frozen(), paths,
+                                              self.get_transforms(), *args,
+                                              hatchcolors=self.get_hatchcolor())
+            else:
+                if hatchcolors_not_needed:
+                    renderer.draw_path_collection(gc, transform.frozen(), paths,
+                                                  self.get_transforms(), *args)
+                else:
+                    path_ids = renderer._iter_collection_raw_paths(
+                        transform.frozen(), paths, self.get_transforms())
+                    for xo, yo, path_id, gc0, rgbFace in renderer._iter_collection(
+                        gc, list(path_ids), *args, hatchcolors=self.get_hatchcolor(),
+                    ):
+                        path, transform = path_id
+                        if xo != 0 or yo != 0:
+                            transform = transform.frozen()
+                            transform.translate(xo, yo)
+                        renderer.draw_path(gc0, path, transform, rgbFace)
 
         gc.restore()
         renderer.close_group(self.__class__.__name__)
+        self.stale = False
 
-    def set_pickradius(self, pr):
-        self._pickradius = pr
+    def set_pickradius(self, pickradius):
+        """
+        Set the pick radius used for containment tests.
+
+        Parameters
+        ----------
+        pickradius : float
+            Pick radius, in points.
+        """
+        if not isinstance(pickradius, Real):
+            raise ValueError(
+                f"pickradius must be a real-valued number, not {pickradius!r}")
+        self._pickradius = pickradius
 
     def get_pickradius(self):
         return self._pickradius
@@ -313,50 +526,55 @@ def contains(self, mouseevent):
         """
         Test whether the mouse event occurred in the collection.
 
-        Returns True | False, ``dict(ind=itemlist)``, where every
-        item in itemlist contains the event.
+        Returns ``bool, dict(ind=itemlist)``, where every item in itemlist
+        contains the event.
         """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-
-        if not self.get_visible():
+        if self._different_canvas(mouseevent) or not self.get_visible():
             return False, {}
-
-        if self._picker is True:  # the Boolean constant, not just nonzero or 1
-            pickradius = self._pickradius
-        else:
-            try:
-                pickradius = float(self._picker)
-            except TypeError:
-                # This should not happen if "contains" is called via
-                # pick, the normal route; the check is here in case
-                # it is called through some unanticipated route.
-                warnings.warn(
-                    "Collection picker %s could not be converted to float"
-                    % self._picker)
-                pickradius = self._pickradius
-
-        transform, transOffset, offsets, paths = self._prepare_points()
-
+        pickradius = (
+            float(self._picker)
+            if isinstance(self._picker, Number) and
+               self._picker is not True  # the bool, not just nonzero or 1
+            else self._pickradius)
+        if self.axes:
+            self.axes._unstale_viewLim()
+        transform, offset_trf, offsets, paths = self._prepare_points()
+        # Tests if the point is contained on one of the polygons formed
+        # by the control points of each of the paths. A point is considered
+        # "on" a path if it would lie within a stroke of width 2*pickradius
+        # following the path. If pickradius <= 0, then we instead simply check
+        # if the point is *inside* of the path instead.
         ind = _path.point_in_path_collection(
             mouseevent.x, mouseevent.y, pickradius,
             transform.frozen(), paths, self.get_transforms(),
-            offsets, transOffset, pickradius <= 0,
-            self.get_offset_position())
-
+            offsets, offset_trf, pickradius <= 0)
         return len(ind) > 0, dict(ind=ind)
 
     def set_urls(self, urls):
-        if urls is None:
-            self._urls = [None, ]
-        else:
-            self._urls = urls
+        """
+        Parameters
+        ----------
+        urls : list of str or None
+
+        Notes
+        -----
+        URLs are currently only implemented by the SVG backend. They are
+        ignored by all other backends.
+        """
+        self._urls = urls if urls is not None else [None]
+        self.stale = True
 
     def get_urls(self):
+        """
+        Return a list of URLs, one for each element of the collection.
+
+        The list contains *None* for elements without a URL. See
+        :doc:`/gallery/misc/hyperlinks_sgskip` for an example.
+        """
         return self._urls
 
     def set_hatch(self, hatch):
-        """
+        r"""
         Set the hatching pattern
 
         *hatch* can be one of::
@@ -376,351 +594,483 @@ def set_hatch(self, hatch):
         hatchings are done.  If same letter repeats, it increases the
         density of hatching of that pattern.
 
-        Hatching is supported in the PostScript, PDF, SVG and Agg
-        backends only.
-
         Unlike other properties such as linewidth and colors, hatching
         can only be specified for the collection as a whole, not separately
         for each member.
 
-        ACCEPTS: [ '/' | '\\\\' | '|' | '-' | '+' | 'x' | 'o' | 'O' | '.' | '*' ]
+        Parameters
+        ----------
+        hatch : {'/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}
         """
+        # Use validate_hatch(list) after deprecation.
+        mhatch._validate_hatch_pattern(hatch)
         self._hatch = hatch
+        self.stale = True
 
     def get_hatch(self):
-        'Return the current hatching pattern'
+        """Return the current hatching pattern."""
         return self._hatch
 
+    def set_hatch_linewidth(self, lw):
+        """Set the hatch linewidth."""
+        self._hatch_linewidth = lw
+
+    def get_hatch_linewidth(self):
+        """Return the hatch linewidth."""
+        return self._hatch_linewidth
+
     def set_offsets(self, offsets):
         """
-        Set the offsets for the collection.  *offsets* can be a scalar
-        or a sequence.
+        Set the offsets for the collection.
 
-        ACCEPTS: float or sequence of floats
-        """
-        offsets = np.asanyarray(offsets, np.float_)
-        offsets.shape = (-1, 2)             # Make it Nx2
-        #This decision is based on how they are initialized above
-        if self._uniform_offsets is None:
-            self._offsets = offsets
-        else:
-            self._uniform_offsets = offsets
+        Parameters
+        ----------
+        offsets : (N, 2) or (2,) array-like
+        """
+        offsets = np.asanyarray(offsets)
+        if offsets.shape == (2,):  # Broadcast (2,) -> (1, 2) but nothing else.
+            offsets = offsets[None, :]
+        cstack = (np.ma.column_stack if isinstance(offsets, np.ma.MaskedArray)
+                  else np.column_stack)
+        self._offsets = cstack(
+            (np.asanyarray(self.convert_xunits(offsets[:, 0]), float),
+             np.asanyarray(self.convert_yunits(offsets[:, 1]), float)))
+        self.stale = True
 
     def get_offsets(self):
+        """Return the offsets for the collection."""
+        # Default to zeros in the no-offset (None) case
+        return np.zeros((1, 2)) if self._offsets is None else self._offsets
+
+    def _get_default_linewidth(self):
+        # This may be overridden in a subclass.
+        return mpl.rcParams['patch.linewidth']  # validated as float
+
+    def set_linewidth(self, lw):
         """
-        Return the offsets for the collection.
+        Set the linewidth(s) for the collection.  *lw* can be a scalar
+        or a sequence; if it is a sequence the patches will cycle
+        through the sequence
+
+        Parameters
+        ----------
+        lw : float or list of floats
         """
-        #This decision is based on how they are initialized above in __init__()
-        if self._uniform_offsets is None:
-            return self._offsets
-        else:
-            return self._uniform_offsets
+        if lw is None:
+            lw = self._get_default_linewidth()
+        # get the un-scaled/broadcast lw
+        self._us_lw = np.atleast_1d(lw)
+
+        # scale all of the dash patterns.
+        self._linewidths, self._linestyles = self._bcast_lwls(
+            self._us_lw, self._us_linestyles)
+        self.stale = True
 
-    def set_offset_position(self, offset_position):
+    def set_linestyle(self, ls):
         """
-        Set how offsets are applied.  If *offset_position* is 'screen'
-        (default) the offset is applied after the master transform has
-        been applied, that is, the offsets are in screen coordinates.
-        If offset_position is 'data', the offset is applied before the
-        master transform, i.e., the offsets are in data coordinates.
+        Set the linestyle(s) for the collection.
+
+        ===========================   =================
+        linestyle                     description
+        ===========================   =================
+        ``'-'`` or ``'solid'``        solid line
+        ``'--'`` or  ``'dashed'``     dashed line
+        ``'-.'`` or  ``'dashdot'``    dash-dotted line
+        ``':'`` or ``'dotted'``       dotted line
+        ===========================   =================
+
+        Alternatively a dash tuple of the following form can be provided::
+
+            (offset, onoffseq),
+
+        where ``onoffseq`` is an even length tuple of on and off ink in points.
+
+        Parameters
+        ----------
+        ls : str or tuple or list thereof
+            Valid values for individual linestyles include {'-', '--', '-.',
+            ':', '', (offset, on-off-seq)}. See `.Line2D.set_linestyle` for a
+            complete description.
         """
-        if offset_position not in ('screen', 'data'):
-            raise ValueError("offset_position must be 'screen' or 'data'")
-        self._offset_position = offset_position
+        # get the list of raw 'unscaled' dash patterns
+        self._us_linestyles = mlines._get_dash_patterns(ls)
 
-    def get_offset_position(self):
+        # broadcast and scale the lw and dash patterns
+        self._linewidths, self._linestyles = self._bcast_lwls(
+            self._us_lw, self._us_linestyles)
+
+    @_docstring.interpd
+    def set_capstyle(self, cs):
         """
-        Returns how offsets are applied for the collection.  If
-        *offset_position* is 'screen', the offset is applied after the
-        master transform has been applied, that is, the offsets are in
-        screen coordinates.  If offset_position is 'data', the offset
-        is applied before the master transform, i.e., the offsets are
-        in data coordinates.
+        Set the `.CapStyle` for the collection (for all its elements).
+
+        Parameters
+        ----------
+        cs : `.CapStyle` or %(CapStyle)s
         """
-        return self._offset_position
+        self._capstyle = CapStyle(cs)
 
-    def set_linewidth(self, lw):
+    @_docstring.interpd
+    def get_capstyle(self):
         """
-        Set the linewidth(s) for the collection.  *lw* can be a scalar
-        or a sequence; if it is a sequence the patches will cycle
-        through the sequence
+        Return the cap style for the collection (for all its elements).
+
+        Returns
+        -------
+        %(CapStyle)s or None
+        """
+        return self._capstyle.name if self._capstyle else None
 
-        ACCEPTS: float or sequence of floats
+    @_docstring.interpd
+    def set_joinstyle(self, js):
         """
-        if lw is None:
-            lw = mpl.rcParams['patch.linewidth']
-        self._linewidths = self._get_value(lw)
+        Set the `.JoinStyle` for the collection (for all its elements).
 
-    def set_linewidths(self, lw):
-        """alias for set_linewidth"""
-        return self.set_linewidth(lw)
+        Parameters
+        ----------
+        js : `.JoinStyle` or %(JoinStyle)s
+        """
+        self._joinstyle = JoinStyle(js)
 
-    def set_lw(self, lw):
-        """alias for set_linewidth"""
-        return self.set_linewidth(lw)
+    @_docstring.interpd
+    def get_joinstyle(self):
+        """
+        Return the join style for the collection (for all its elements).
 
-    def set_linestyle(self, ls):
+        Returns
+        -------
+        %(JoinStyle)s or None
         """
-        Set the linestyle(s) for the collection.
+        return self._joinstyle.name if self._joinstyle else None
 
-        ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' |
-        (offset, on-off-dash-seq) ]
+    @staticmethod
+    def _bcast_lwls(linewidths, dashes):
         """
-        try:
-            dashd = backend_bases.GraphicsContextBase.dashd
-            if cbook.is_string_like(ls):
-                if ls in dashd:
-                    dashes = [dashd[ls]]
-                elif ls in cbook.ls_mapper:
-                    dashes = [dashd[cbook.ls_mapper[ls]]]
-                else:
-                    raise ValueError()
-            elif cbook.iterable(ls):
-                try:
-                    dashes = []
-                    for x in ls:
-                        if cbook.is_string_like(x):
-                            if x in dashd:
-                                dashes.append(dashd[x])
-                            elif x in cbook.ls_mapper:
-                                dashes.append(dashd[cbook.ls_mapper[x]])
-                            else:
-                                raise ValueError()
-                        elif cbook.iterable(x) and len(x) == 2:
-                            dashes.append(x)
-                        else:
-                            raise ValueError()
-                except ValueError:
-                    if len(ls) == 2:
-                        dashes = ls
-                    else:
-                        raise ValueError()
-            else:
-                raise ValueError()
-        except ValueError:
-            raise ValueError('Do not know how to convert %s to dashes' % ls)
-        self._linestyles = dashes
+        Internal helper function to broadcast + scale ls/lw
+
+        In the collection drawing code, the linewidth and linestyle are cycled
+        through as circular buffers (via ``v[i % len(v)]``).  Thus, if we are
+        going to scale the dash pattern at set time (not draw time) we need to
+        do the broadcasting now and expand both lists to be the same length.
+
+        Parameters
+        ----------
+        linewidths : list
+            line widths of collection
+        dashes : list
+            dash specification (offset, (dash pattern tuple))
 
-    def set_linestyles(self, ls):
-        """alias for set_linestyle"""
-        return self.set_linestyle(ls)
+        Returns
+        -------
+        linewidths, dashes : list
+            Will be the same length, dashes are scaled by paired linewidth
+        """
+        if mpl.rcParams['_internal.classic_mode']:
+            return linewidths, dashes
+        # make sure they are the same length so we can zip them
+        if len(dashes) != len(linewidths):
+            l_dashes = len(dashes)
+            l_lw = len(linewidths)
+            gcd = math.gcd(l_dashes, l_lw)
+            dashes = list(dashes) * (l_lw // gcd)
+            linewidths = list(linewidths) * (l_dashes // gcd)
 
-    def set_dashes(self, ls):
-        """alias for set_linestyle"""
-        return self.set_linestyle(ls)
+        # scale the dash patterns
+        dashes = [mlines._scale_dashes(o, d, lw)
+                  for (o, d), lw in zip(dashes, linewidths)]
+
+        return linewidths, dashes
+
+    def get_antialiased(self):
+        """
+        Get the antialiasing state for rendering.
+
+        Returns
+        -------
+        array of bools
+        """
+        return self._antialiaseds
 
     def set_antialiased(self, aa):
         """
         Set the antialiasing state for rendering.
 
-        ACCEPTS: Boolean or sequence of booleans
+        Parameters
+        ----------
+        aa : bool or list of bools
         """
         if aa is None:
-            aa = mpl.rcParams['patch.antialiased']
-        self._antialiaseds = self._get_bool(aa)
+            aa = self._get_default_antialiased()
+        self._antialiaseds = np.atleast_1d(np.asarray(aa, bool))
+        self.stale = True
 
-    def set_antialiaseds(self, aa):
-        """alias for set_antialiased"""
-        return self.set_antialiased(aa)
+    def _get_default_antialiased(self):
+        # This may be overridden in a subclass.
+        return mpl.rcParams['patch.antialiased']
 
     def set_color(self, c):
         """
-        Set both the edgecolor and the facecolor.
+        Set the edgecolor, facecolor and hatchcolor.
 
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
+        .. versionchanged:: 3.11
+            Now sets the hatchcolor as well.
 
-        .. seealso::
+        Parameters
+        ----------
+        c : :mpltype:`color` or list of RGBA tuples
 
-            :meth:`set_facecolor`, :meth:`set_edgecolor`
-               For setting the edge or face color individually.
+        See Also
+        --------
+        Collection.set_facecolor, Collection.set_edgecolor, Collection.set_hatchcolor
+            For setting the facecolor, edgecolor, and hatchcolor individually.
         """
         self.set_facecolor(c)
         self.set_edgecolor(c)
+        self.set_hatchcolor(c)
+
+    def _get_default_facecolor(self):
+        # This may be overridden in a subclass.
+        return mpl.rcParams['patch.facecolor']
+
+    def _set_facecolor(self, c):
+        if c is None:
+            c = self._get_default_facecolor()
+
+        self._facecolors = mcolors.to_rgba_array(c, self._alpha)
+        self.stale = True
 
     def set_facecolor(self, c):
         """
-        Set the facecolor(s) of the collection.  *c* can be a
-        matplotlib color arg (all patches have same color), or a
-        sequence of rgba tuples; if it is a sequence the patches will
-        cycle through the sequence.
+        Set the facecolor(s) of the collection. *c* can be a color (all patches
+        have same color), or a sequence of colors; if it is a sequence the
+        patches will cycle through the sequence.
 
         If *c* is 'none', the patch will not be filled.
 
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
+        Parameters
+        ----------
+        c : :mpltype:`color` or list of :mpltype:`color`
         """
-        self._is_filled = True
-        try:
-            if c.lower() == 'none':
-                self._is_filled = False
-        except AttributeError:
-            pass
-        if c is None:
-            c = mpl.rcParams['patch.facecolor']
-        self._facecolors_original = c
-        self._facecolors = mcolors.colorConverter.to_rgba_array(c, self._alpha)
-
-    def set_facecolors(self, c):
-        """alias for set_facecolor"""
-        return self.set_facecolor(c)
+        if isinstance(c, str) and c.lower() in ("none", "face"):
+            c = c.lower()
+        self._original_facecolor = c
+        self._set_facecolor(c)
 
     def get_facecolor(self):
         return self._facecolors
-    get_facecolors = get_facecolor
 
     def get_edgecolor(self):
-        if self._edgecolors == str('face'):
-            return self.get_facecolors()
+        if cbook._str_equal(self._edgecolors, 'face'):
+            return self.get_facecolor()
         else:
             return self._edgecolors
-    get_edgecolors = get_edgecolor
+
+    def _get_default_edgecolor(self):
+        # This may be overridden in a subclass.
+        return mpl.rcParams['patch.edgecolor']
+
+    def get_hatchcolor(self):
+        if cbook._str_equal(self._hatchcolors, 'edge'):
+            if len(self.get_edgecolor()) == 0:
+                return mpl.colors.to_rgba_array(self._get_default_edgecolor(),
+                                                self._alpha)
+            return self.get_edgecolor()
+        return self._hatchcolors
+
+    def _set_edgecolor(self, c):
+        if c is None:
+            if (mpl.rcParams['patch.force_edgecolor']
+                    or self._edge_default
+                    or cbook._str_equal(self._original_facecolor, 'none')):
+                c = self._get_default_edgecolor()
+            else:
+                c = 'none'
+        if cbook._str_lower_equal(c, 'face'):
+            self._edgecolors = 'face'
+            self.stale = True
+            return
+        self._edgecolors = mcolors.to_rgba_array(c, self._alpha)
+        self.stale = True
 
     def set_edgecolor(self, c):
         """
-        Set the edgecolor(s) of the collection. *c* can be a
-        matplotlib color arg (all patches have same color), or a
-        sequence of rgba tuples; if it is a sequence the patches will
-        cycle through the sequence.
-
-        If *c* is 'face', the edge color will always be the same as
-        the face color.  If it is 'none', the patch boundary will not
-        be drawn.
-
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
-        """
-        self._is_stroked = True
-        try:
-            if c.lower() == 'none':
-                self._is_stroked = False
-        except AttributeError:
-            pass
-        try:
-            if c.lower() == 'face':
-                self._edgecolors = 'face'
-                self._edgecolors_original = 'face'
-                return
-        except AttributeError:
-            pass
-        if c is None:
-            c = mpl.rcParams['patch.edgecolor']
-        self._edgecolors_original = c
-        self._edgecolors = mcolors.colorConverter.to_rgba_array(c, self._alpha)
+        Set the edgecolor(s) of the collection.
 
-    def set_edgecolors(self, c):
-        """alias for set_edgecolor"""
-        return self.set_edgecolor(c)
+        Parameters
+        ----------
+        c : :mpltype:`color` or list of :mpltype:`color` or 'face'
+            The collection edgecolor(s).  If a sequence, the patches cycle
+            through it.  If 'face', match the facecolor.
+        """
+        # We pass through a default value for use in LineCollection.
+        # This allows us to maintain None as the default indicator in
+        # _original_edgecolor.
+        if isinstance(c, str) and c.lower() in ("none", "face"):
+            c = c.lower()
+        self._original_edgecolor = c
+        self._set_edgecolor(c)
+
+    def _set_hatchcolor(self, c):
+        c = mpl._val_or_rc(c, 'hatch.color')
+        if cbook._str_equal(c, 'edge'):
+            self._hatchcolors = 'edge'
+        else:
+            self._hatchcolors = mcolors.to_rgba_array(c, self._alpha)
+        self.stale = True
+
+    def set_hatchcolor(self, c):
+        """
+        Set the hatchcolor(s) of the collection.
+
+        Parameters
+        ----------
+        c : :mpltype:`color` or list of :mpltype:`color` or 'edge'
+            The collection hatchcolor(s).  If a sequence, the patches cycle
+            through it.
+        """
+        self._original_hatchcolor = c
+        self._set_hatchcolor(c)
 
     def set_alpha(self, alpha):
         """
-        Set the alpha tranparencies of the collection.  *alpha* must be
-        a float or *None*.
+        Set the transparency of the collection.
 
-        ACCEPTS: float or None
+        Parameters
+        ----------
+        alpha : float or array of float or None
+            If not None, *alpha* values must be between 0 and 1, inclusive.
+            If an array is provided, its length must match the number of
+            elements in the collection.  Masked values and nans are not
+            supported.
         """
-        if alpha is not None:
-            try:
-                float(alpha)
-            except TypeError:
-                raise TypeError('alpha must be a float or None')
-        artist.Artist.set_alpha(self, alpha)
-        try:
-            self._facecolors = mcolors.colorConverter.to_rgba_array(
-                self._facecolors_original, self._alpha)
-        except (AttributeError, TypeError, IndexError):
-            pass
-        try:
-            if self._edgecolors_original != str('face'):
-                self._edgecolors = mcolors.colorConverter.to_rgba_array(
-                    self._edgecolors_original, self._alpha)
-        except (AttributeError, TypeError, IndexError):
-            pass
+        artist.Artist._set_alpha_for_array(self, alpha)
+        self._set_facecolor(self._original_facecolor)
+        self._set_edgecolor(self._original_edgecolor)
+        self._set_hatchcolor(self._original_hatchcolor)
 
-    def get_linewidths(self):
+    set_alpha.__doc__ = artist.Artist._set_alpha_for_array.__doc__
+
+    def get_linewidth(self):
         return self._linewidths
-    get_linewidth = get_linewidths
 
-    def get_linestyles(self):
+    def get_linestyle(self):
         return self._linestyles
-    get_dashes = get_linestyle = get_linestyles
+
+    def _set_mappable_flags(self):
+        """
+        Determine whether edges and/or faces are color-mapped.
+
+        This is a helper for update_scalarmappable.
+        It sets Boolean flags '_edge_is_mapped' and '_face_is_mapped'.
+
+        Returns
+        -------
+        mapping_change : bool
+            True if either flag is True, or if a flag has changed.
+        """
+        # The flags are initialized to None to ensure this returns True
+        # the first time it is called.
+        edge0 = self._edge_is_mapped
+        face0 = self._face_is_mapped
+        # After returning, the flags must be Booleans, not None.
+        self._edge_is_mapped = False
+        self._face_is_mapped = False
+        if self._A is not None:
+            if not cbook._str_equal(self._original_facecolor, 'none'):
+                self._face_is_mapped = True
+                if cbook._str_equal(self._original_edgecolor, 'face'):
+                    self._edge_is_mapped = True
+            else:
+                if self._original_edgecolor is None:
+                    self._edge_is_mapped = True
+
+        mapped = self._face_is_mapped or self._edge_is_mapped
+        changed = (edge0 is None or face0 is None
+                   or self._edge_is_mapped != edge0
+                   or self._face_is_mapped != face0)
+        return mapped or changed
 
     def update_scalarmappable(self):
         """
-        If the scalar mappable array is not none, update colors
-        from scalar data
+        Update colors from the scalar mappable array, if any.
+
+        Assign colors to edges and faces based on the array and/or
+        colors that were directly set, as appropriate.
         """
-        if self._A is None:
+        if not self._set_mappable_flags():
             return
-        if self._A.ndim > 1:
-            raise ValueError('Collections can only map rank 1 arrays')
-        if not self.check_update("array"):
-            return
-        if self._is_filled:
-            self._facecolors = self.to_rgba(self._A, self._alpha)
-        elif self._is_stroked:
-            self._edgecolors = self.to_rgba(self._A, self._alpha)
+        # Allow possibility to call 'self.set_array(None)'.
+        if self._A is not None:
+            # QuadMesh can map 2d arrays (but pcolormesh supplies 1d array)
+            if self._A.ndim > 1 and not isinstance(self, _MeshData):
+                raise ValueError('Collections can only map rank 1 arrays')
+            if np.iterable(self._alpha):
+                if self._alpha.size != self._A.size:
+                    raise ValueError(
+                        f'Data array shape, {self._A.shape} '
+                        'is incompatible with alpha array shape, '
+                        f'{self._alpha.shape}. '
+                        'This can occur with the deprecated '
+                        'behavior of the "flat" shading option, '
+                        'in which a row and/or column of the data '
+                        'array is dropped.')
+                # pcolormesh, scatter, maybe others flatten their _A
+                self._alpha = self._alpha.reshape(self._A.shape)
+            self._mapped_colors = self.to_rgba(self._A, self._alpha)
+
+        if self._face_is_mapped:
+            self._facecolors = self._mapped_colors
+        else:
+            self._set_facecolor(self._original_facecolor)
+        if self._edge_is_mapped:
+            self._edgecolors = self._mapped_colors
+        else:
+            self._set_edgecolor(self._original_edgecolor)
+        self.stale = True
 
     def get_fill(self):
-        'return whether fill is set'
-        return self._is_filled
+        """Return whether face is colored."""
+        return not cbook._str_lower_equal(self._original_facecolor, "none")
 
     def update_from(self, other):
-        'copy properties from other to self'
+        """Copy properties from other to self."""
 
         artist.Artist.update_from(self, other)
         self._antialiaseds = other._antialiaseds
-        self._edgecolors_original = other._edgecolors_original
+        self._mapped_colors = other._mapped_colors
+        self._edge_is_mapped = other._edge_is_mapped
+        self._original_edgecolor = other._original_edgecolor
         self._edgecolors = other._edgecolors
-        self._facecolors_original = other._facecolors_original
+        self._face_is_mapped = other._face_is_mapped
+        self._original_facecolor = other._original_facecolor
         self._facecolors = other._facecolors
         self._linewidths = other._linewidths
         self._linestyles = other._linestyles
+        self._us_linestyles = other._us_linestyles
         self._pickradius = other._pickradius
         self._hatch = other._hatch
+        self._hatchcolors = other._hatchcolors
 
         # update_from for scalarmappable
         self._A = other._A
         self.norm = other.norm
         self.cmap = other.cmap
-        # self.update_dict = other.update_dict # do we need to copy this? -JJL
-
-
-# these are not available for the object inspector until after the
-# class is built so we define an initial set here for the init
-# function and they will be overridden after object defn
-docstring.interpd.update(Collection="""\
-    Valid Collection keyword arguments:
-
-        * *edgecolors*: None
-        * *facecolors*: None
-        * *linewidths*: None
-        * *antialiaseds*: None
-        * *offsets*: None
-        * *transOffset*: transforms.IdentityTransform()
-        * *norm*: None (optional for
-          :class:`matplotlib.cm.ScalarMappable`)
-        * *cmap*: None (optional for
-          :class:`matplotlib.cm.ScalarMappable`)
-
-    *offsets* and *transOffset* are used to translate the patch after
-    rendering (default no offsets)
-
-    If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
-    are None, they default to their :data:`matplotlib.rcParams` patch
-    setting, in sequence form.
-""")
+        self.stale = True
 
 
 class _CollectionWithSizes(Collection):
     """
     Base class for collections that have an array of sizes.
     """
+    _factor = 1.0
+
     def get_sizes(self):
         """
-        Returns the sizes of the elements in the collection.  The
-        value represents the 'area' of the element.
+        Return the sizes ('areas') of the elements in the collection.
 
         Returns
         -------
-        sizes : array
+        array
             The 'area' of each element.
         """
         return self._sizes
@@ -731,12 +1081,11 @@ def set_sizes(self, sizes, dpi=72.0):
 
         Parameters
         ----------
-        sizes : ndarray or None
+        sizes : `numpy.ndarray` or None
             The size to set for each element of the collection.  The
             value is the 'area' of the element.
-
-        dpi : float
-            The dpi of the canvas. Defaults to 72.0.
+        dpi : float, default: 72
+            The dpi of the canvas.
         """
         if sizes is None:
             self._sizes = np.array([])
@@ -744,181 +1093,551 @@ def set_sizes(self, sizes, dpi=72.0):
         else:
             self._sizes = np.asarray(sizes)
             self._transforms = np.zeros((len(self._sizes), 3, 3))
-            scale = np.sqrt(self._sizes) * dpi / 72.0
+            scale = np.sqrt(self._sizes) * dpi / 72.0 * self._factor
             self._transforms[:, 0, 0] = scale
             self._transforms[:, 1, 1] = scale
             self._transforms[:, 2, 2] = 1.0
+        self.stale = True
 
-    @allow_rasterization
+    @artist.allow_rasterization
     def draw(self, renderer):
-        self.set_sizes(self._sizes, self.figure.dpi)
-        Collection.draw(self, renderer)
+        self.set_sizes(self._sizes, self.get_figure(root=True).dpi)
+        super().draw(renderer)
 
 
 class PathCollection(_CollectionWithSizes):
+    r"""
+    A collection of `~.path.Path`\s, as created by e.g. `~.Axes.scatter`.
     """
-    This is the most basic :class:`Collection` subclass.
-    """
-    @docstring.dedent_interpd
+
     def __init__(self, paths, sizes=None, **kwargs):
         """
-        *paths* is a sequence of :class:`matplotlib.path.Path`
-        instances.
-
-        %(Collection)s
+        Parameters
+        ----------
+        paths : list of `.path.Path`
+            The paths that will make up the `.Collection`.
+        sizes : array-like
+            The factor by which to scale each drawn `~.path.Path`. One unit
+            squared in the Path's data space is scaled to be ``sizes**2``
+            points when rendered.
+        **kwargs
+            Forwarded to `.Collection`.
         """
 
-        Collection.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self.set_paths(paths)
         self.set_sizes(sizes)
-
-    def set_paths(self, paths):
-        self._paths = paths
+        self.stale = True
 
     def get_paths(self):
         return self._paths
 
-
-class PolyCollection(_CollectionWithSizes):
-    @docstring.dedent_interpd
-    def __init__(self, verts, sizes=None, closed=True, **kwargs):
+    def legend_elements(self, prop="colors", num="auto",
+                        fmt=None, func=lambda x: x, **kwargs):
         """
-        *verts* is a sequence of ( *verts0*, *verts1*, ...) where
-        *verts_i* is a sequence of *xy* tuples of vertices, or an
-        equivalent :mod:`numpy` array of shape (*nv*, 2).
+        Create legend handles and labels for a PathCollection.
+
+        Each legend handle is a `.Line2D` representing the Path that was drawn,
+        and each label is a string that represents the Path.
+
+        This is useful for obtaining a legend for a `~.Axes.scatter` plot;
+        e.g.::
+
+            scatter = plt.scatter([1, 2, 3],  [4, 5, 6],  c=[7, 2, 3], num=None)
+            plt.legend(*scatter.legend_elements())
+
+        creates three legend elements, one for each color with the numerical
+        values passed to *c* as the labels.
+
+        Also see the :ref:`automatedlegendcreation` example.
+
+        Parameters
+        ----------
+        prop : {"colors", "sizes"}, default: "colors"
+            If "colors", the legend handles will show the different colors of
+            the collection. If "sizes", the legend will show the different
+            sizes. To set both, use *kwargs* to directly edit the `.Line2D`
+            properties.
+        num : int, None, "auto" (default), array-like, or `~.ticker.Locator`
+            Target number of elements to create.
+            If None, use all unique elements of the mappable array. If an
+            integer, target to use *num* elements in the normed range.
+            If *"auto"*, try to determine which option better suits the nature
+            of the data.
+            The number of created elements may slightly deviate from *num* due
+            to a `~.ticker.Locator` being used to find useful locations.
+            If a list or array, use exactly those elements for the legend.
+            Finally, a `~.ticker.Locator` can be provided.
+        fmt : str, `~matplotlib.ticker.Formatter`, or None (default)
+            The format or formatter to use for the labels. If a string must be
+            a valid input for a `.StrMethodFormatter`. If None (the default),
+            use a `.ScalarFormatter`.
+        func : function, default: ``lambda x: x``
+            Function to calculate the labels.  Often the size (or color)
+            argument to `~.Axes.scatter` will have been pre-processed by the
+            user using a function ``s = f(x)`` to make the markers visible;
+            e.g. ``size = np.log10(x)``.  Providing the inverse of this
+            function here allows that pre-processing to be inverted, so that
+            the legend labels have the correct values; e.g. ``func = lambda
+            x: 10**x``.
+        **kwargs
+            Allowed keyword arguments are *color* and *size*. E.g. it may be
+            useful to set the color of the markers if *prop="sizes"* is used;
+            similarly to set the size of the markers if *prop="colors"* is
+            used. Any further parameters are passed onto the `.Line2D`
+            instance. This may be useful to e.g. specify a different
+            *markeredgecolor* or *alpha* for the legend handles.
+
+        Returns
+        -------
+        handles : list of `.Line2D`
+            Visual representation of each element of the legend.
+        labels : list of str
+            The string labels for elements of the legend.
+        """
+        handles = []
+        labels = []
+        hasarray = self.get_array() is not None
+        if fmt is None:
+            fmt = mpl.ticker.ScalarFormatter(useOffset=False, useMathText=True)
+        elif isinstance(fmt, str):
+            fmt = mpl.ticker.StrMethodFormatter(fmt)
+        fmt.create_dummy_axis()
+
+        if prop == "colors":
+            if not hasarray:
+                warnings.warn("Collection without array used. Make sure to "
+                              "specify the values to be colormapped via the "
+                              "`c` argument.")
+                return handles, labels
+            u = np.unique(self.get_array())
+            size = kwargs.pop("size", mpl.rcParams["lines.markersize"])
+        elif prop == "sizes":
+            u = np.unique(self.get_sizes())
+            color = kwargs.pop("color", "k")
+        else:
+            raise ValueError("Valid values for `prop` are 'colors' or "
+                             f"'sizes'. You supplied '{prop}' instead.")
+
+        fu = func(u)
+        fmt.axis.set_view_interval(fu.min(), fu.max())
+        fmt.axis.set_data_interval(fu.min(), fu.max())
+        if num == "auto":
+            num = 9
+            if len(u) <= num:
+                num = None
+        if num is None:
+            values = u
+            label_values = func(values)
+        else:
+            if prop == "colors":
+                arr = self.get_array()
+            elif prop == "sizes":
+                arr = self.get_sizes()
+            if isinstance(num, mpl.ticker.Locator):
+                loc = num
+            elif np.iterable(num):
+                loc = mpl.ticker.FixedLocator(num)
+            else:
+                num = int(num)
+                loc = mpl.ticker.MaxNLocator(nbins=num, min_n_ticks=num-1,
+                                             steps=[1, 2, 2.5, 3, 5, 6, 8, 10])
+            label_values = loc.tick_values(func(arr).min(), func(arr).max())
+            cond = ((label_values >= func(arr).min()) &
+                    (label_values <= func(arr).max()))
+            label_values = label_values[cond]
+            yarr = np.linspace(arr.min(), arr.max(), 256)
+            xarr = func(yarr)
+            ix = np.argsort(xarr)
+            values = np.interp(label_values, xarr[ix], yarr[ix])
+
+        kw = {"markeredgewidth": self.get_linewidths()[0],
+              "alpha": self.get_alpha(),
+              **kwargs}
+
+        for val, lab in zip(values, label_values):
+            if prop == "colors":
+                color = self.cmap(self.norm(val))
+            elif prop == "sizes":
+                size = np.sqrt(val)
+                if np.isclose(size, 0.0):
+                    continue
+            h = mlines.Line2D([0], [0], ls="", color=color, ms=size,
+                              marker=self.get_paths()[0], **kw)
+            handles.append(h)
+            if hasattr(fmt, "set_locs"):
+                fmt.set_locs(label_values)
+            l = fmt(lab)
+            labels.append(l)
+
+        return handles, labels
 
-        *sizes* is *None* (default) or a sequence of floats that
-        scale the corresponding *verts_i*.  The scaling is applied
-        before the Artist master transform; if the latter is an identity
-        transform, then the overall scaling is such that if
-        *verts_i* specify a unit square, then *sizes_i* is the area
-        of that square in points^2.
-        If len(*sizes*) < *nv*, the additional values will be
-        taken cyclically from the array.
 
-        *closed*, when *True*, will explicitly close the polygon.
+class PolyCollection(_CollectionWithSizes):
 
-        %(Collection)s
+    def __init__(self, verts, sizes=None, *, closed=True, **kwargs):
         """
-        Collection.__init__(self, **kwargs)
+        Parameters
+        ----------
+        verts : list of array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (M, 2).
+        sizes : array-like, default: None
+            Squared scaling factors for the polygons. The coordinates of each
+            polygon *verts_i* are multiplied by the square-root of the
+            corresponding entry in *sizes* (i.e., *sizes* specify the scaling
+            of areas). The scaling is applied before the Artist master
+            transform.
+        closed : bool, default: True
+            Whether the polygon should be closed by adding a CLOSEPOLY
+            connection at the end.
+        **kwargs
+            Forwarded to `.Collection`.
+        """
+        super().__init__(**kwargs)
         self.set_sizes(sizes)
         self.set_verts(verts, closed)
+        self.stale = True
 
     def set_verts(self, verts, closed=True):
-        '''This allows one to delay initialization of the vertices.'''
-        if np.ma.isMaskedArray(verts):
-            verts = verts.astype(np.float_).filled(np.nan)
-            # This is much faster than having Path do it one at a time.
-        if closed:
-            self._paths = []
-            for xy in verts:
-                if len(xy):
-                    if np.ma.isMaskedArray(xy):
-                        xy = np.ma.concatenate([xy, xy[0:1]])
-                    else:
-                        xy = np.asarray(xy)
-                        xy = np.concatenate([xy, xy[0:1]])
-                    codes = np.empty(xy.shape[0], dtype=mpath.Path.code_type)
-                    codes[:] = mpath.Path.LINETO
-                    codes[0] = mpath.Path.MOVETO
-                    codes[-1] = mpath.Path.CLOSEPOLY
-                    self._paths.append(mpath.Path(xy, codes))
-                else:
-                    self._paths.append(mpath.Path(xy))
-        else:
+        """
+        Set the vertices of the polygons.
+
+        Parameters
+        ----------
+        verts : list of array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (M, 2).
+        closed : bool, default: True
+            Whether the polygon should be closed by adding a CLOSEPOLY
+            connection at the end.
+        """
+        self.stale = True
+        if isinstance(verts, np.ma.MaskedArray):
+            verts = verts.astype(float).filled(np.nan)
+
+        # No need to do anything fancy if the path isn't closed.
+        if not closed:
             self._paths = [mpath.Path(xy) for xy in verts]
+            return
+
+        # Fast path for arrays
+        if isinstance(verts, np.ndarray) and len(verts.shape) == 3 and verts.size:
+            verts_pad = np.concatenate((verts, verts[:, :1]), axis=1)
+            # It's faster to create the codes and internal flags once in a
+            # template path and reuse them.
+            template_path = mpath.Path(verts_pad[0], closed=True)
+            codes = template_path.codes
+            _make_path = mpath.Path._fast_from_codes_and_verts
+            self._paths = [_make_path(xy, codes, internals_from=template_path)
+                           for xy in verts_pad]
+            return
+
+        self._paths = []
+        for xy in verts:
+            if len(xy):
+                self._paths.append(mpath.Path._create_closed(xy))
+            else:
+                self._paths.append(mpath.Path(xy))
 
     set_paths = set_verts
 
+    def set_verts_and_codes(self, verts, codes):
+        """Initialize vertices with path codes."""
+        if len(verts) != len(codes):
+            raise ValueError("'codes' must be a 1D list or array "
+                             "with the same length of 'verts'")
+        self._paths = [mpath.Path(xy, cds) if len(xy) else mpath.Path(xy)
+                       for xy, cds in zip(verts, codes)]
+        self.stale = True
+
 
-class BrokenBarHCollection(PolyCollection):
+class FillBetweenPolyCollection(PolyCollection):
     """
-    A collection of horizontal bars spanning *yrange* with a sequence of
-    *xranges*.
+    `.PolyCollection` that fills the area between two x- or y-curves.
     """
-    @docstring.dedent_interpd
-    def __init__(self, xranges, yrange, **kwargs):
+    def __init__(
+            self, t_direction, t, f1, f2, *,
+            where=None, interpolate=False, step=None, **kwargs):
         """
-        *xranges*
-            sequence of (*xmin*, *xwidth*)
+        Parameters
+        ----------
+        t_direction : {{'x', 'y'}}
+            The axes on which the variable lies.
+
+            - 'x': the curves are ``(t, f1)`` and ``(t, f2)``.
+            - 'y': the curves are ``(f1, t)`` and ``(f2, t)``.
+
+        t : array-like
+            The ``t_direction`` coordinates of the nodes defining the curves.
+
+        f1 : array-like or float
+            The other coordinates of the nodes defining the first curve.
+
+        f2 : array-like or float
+            The other coordinates of the nodes defining the second curve.
+
+        where : array-like of bool, optional
+            Define *where* to exclude some {dir} regions from being filled.
+            The filled regions are defined by the coordinates ``t[where]``.
+            More precisely, fill between ``t[i]`` and ``t[i+1]`` if
+            ``where[i] and where[i+1]``.  Note that this definition implies
+            that an isolated *True* value between two *False* values in *where*
+            will not result in filling.  Both sides of the *True* position
+            remain unfilled due to the adjacent *False* values.
+
+        interpolate : bool, default: False
+            This option is only relevant if *where* is used and the two curves
+            are crossing each other.
+
+            Semantically, *where* is often used for *f1* > *f2* or
+            similar.  By default, the nodes of the polygon defining the filled
+            region will only be placed at the positions in the *t* array.
+            Such a polygon cannot describe the above semantics close to the
+            intersection.  The t-sections containing the intersection are
+            simply clipped.
+
+            Setting *interpolate* to *True* will calculate the actual
+            intersection point and extend the filled region up to this point.
+
+        step : {{'pre', 'post', 'mid'}}, optional
+            Define *step* if the filling should be a step function,
+            i.e. constant in between *t*.  The value determines where the
+            step will occur:
+
+            - 'pre': The f value is continued constantly to the left from
+              every *t* position, i.e. the interval ``(t[i-1], t[i]]`` has the
+              value ``f[i]``.
+            - 'post': The y value is continued constantly to the right from
+              every *x* position, i.e. the interval ``[t[i], t[i+1])`` has the
+              value ``f[i]``.
+            - 'mid': Steps occur half-way between the *t* positions.
+
+        **kwargs
+            Forwarded to `.PolyCollection`.
+
+        See Also
+        --------
+        .Axes.fill_between, .Axes.fill_betweenx
+        """
+        self.t_direction = t_direction
+        self._interpolate = interpolate
+        self._step = step
+        verts = self._make_verts(t, f1, f2, where)
+        super().__init__(verts, **kwargs)
 
-        *yrange*
-            *ymin*, *ywidth*
+    @staticmethod
+    def _f_dir_from_t(t_direction):
+        """The direction that is other than `t_direction`."""
+        if t_direction == "x":
+            return "y"
+        elif t_direction == "y":
+            return "x"
+        else:
+            msg = f"t_direction must be 'x' or 'y', got {t_direction!r}"
+            raise ValueError(msg)
 
-        %(Collection)s
+    @property
+    def _f_direction(self):
+        """The direction that is other than `self.t_direction`."""
+        return self._f_dir_from_t(self.t_direction)
+
+    def set_data(self, t, f1, f2, *, where=None):
         """
-        ymin, ywidth = yrange
-        ymax = ymin + ywidth
-        verts = [[(xmin, ymin),
-                  (xmin, ymax),
-                  (xmin + xwidth, ymax),
-                  (xmin + xwidth, ymin),
-                  (xmin, ymin)] for xmin, xwidth in xranges]
-        PolyCollection.__init__(self, verts, **kwargs)
+        Set new values for the two bounding curves.
 
-    @staticmethod
-    def span_where(x, ymin, ymax, where, **kwargs):
+        Parameters
+        ----------
+        t : array-like
+            The ``self.t_direction`` coordinates of the nodes defining the curves.
+
+        f1 : array-like or float
+            The other coordinates of the nodes defining the first curve.
+
+        f2 : array-like or float
+            The other coordinates of the nodes defining the second curve.
+
+        where : array-like of bool, optional
+            Define *where* to exclude some {dir} regions from being filled.
+            The filled regions are defined by the coordinates ``t[where]``.
+            More precisely, fill between ``t[i]`` and ``t[i+1]`` if
+            ``where[i] and where[i+1]``.  Note that this definition implies
+            that an isolated *True* value between two *False* values in *where*
+            will not result in filling.  Both sides of the *True* position
+            remain unfilled due to the adjacent *False* values.
+
+        See Also
+        --------
+        .PolyCollection.set_verts, .Line2D.set_data
+        """
+        t, f1, f2 = self.axes._fill_between_process_units(
+            self.t_direction, self._f_direction, t, f1, f2)
+
+        verts = self._make_verts(t, f1, f2, where)
+        self.set_verts(verts)
+
+    def get_datalim(self, transData):
+        """Calculate the data limits and return them as a `.Bbox`."""
+        datalim = transforms.Bbox.null()
+        datalim.update_from_data_xy((self.get_transform() - transData).transform(
+            np.concatenate([self._bbox, [self._bbox.minpos]])))
+        return datalim
+
+    def _make_verts(self, t, f1, f2, where):
+        """
+        Make verts that can be forwarded to `.PolyCollection`.
+        """
+        self._validate_shapes(self.t_direction, self._f_direction, t, f1, f2)
+
+        where = self._get_data_mask(t, f1, f2, where)
+        t, f1, f2 = np.broadcast_arrays(np.atleast_1d(t), f1, f2, subok=True)
+
+        self._bbox = transforms.Bbox.null()
+        self._bbox.update_from_data_xy(self._fix_pts_xy_order(np.concatenate([
+            np.stack((t[where], f[where]), axis=-1) for f in (f1, f2)])))
+
+        return [
+            self._make_verts_for_region(t, f1, f2, idx0, idx1)
+            for idx0, idx1 in cbook.contiguous_regions(where)
+        ]
+
+    def _get_data_mask(self, t, f1, f2, where):
         """
-        Create a BrokenBarHCollection to plot horizontal bars from
-        over the regions in *x* where *where* is True.  The bars range
-        on the y-axis from *ymin* to *ymax*
+        Return a bool array, with True at all points that should eventually be rendered.
 
-        A :class:`BrokenBarHCollection` is returned.  *kwargs* are
-        passed on to the collection.
+        The array is True at a point if none of the data inputs
+        *t*, *f1*, *f2* is masked and if the input *where* is true at that point.
         """
-        xranges = []
-        for ind0, ind1 in mlab.contiguous_regions(where):
-            xslice = x[ind0:ind1]
-            if not len(xslice):
-                continue
-            xranges.append((xslice[0], xslice[-1] - xslice[0]))
+        if where is None:
+            where = True
+        else:
+            where = np.asarray(where, dtype=bool)
+            if where.size != t.size:
+                msg = "where size ({}) does not match {!r} size ({})".format(
+                    where.size, self.t_direction, t.size)
+                raise ValueError(msg)
+        return where & ~functools.reduce(
+            np.logical_or, map(np.ma.getmaskarray, [t, f1, f2]))
+
+    @staticmethod
+    def _validate_shapes(t_dir, f_dir, t, f1, f2):
+        """Validate that t, f1 and f2 are 1-dimensional and have the same length."""
+        names = (d + s for d, s in zip((t_dir, f_dir, f_dir), ("", "1", "2")))
+        for name, array in zip(names, [t, f1, f2]):
+            if array.ndim > 1:
+                raise ValueError(f"{name!r} is not 1-dimensional")
+            if t.size > 1 and array.size > 1 and t.size != array.size:
+                msg = "{!r} has size {}, but {!r} has an unequal size of {}".format(
+                    t_dir, t.size, name, array.size)
+                raise ValueError(msg)
+
+    def _make_verts_for_region(self, t, f1, f2, idx0, idx1):
+        """
+        Make ``verts`` for a contiguous region between ``idx0`` and ``idx1``, taking
+        into account ``step`` and ``interpolate``.
+        """
+        t_slice = t[idx0:idx1]
+        f1_slice = f1[idx0:idx1]
+        f2_slice = f2[idx0:idx1]
+        if self._step is not None:
+            step_func = cbook.STEP_LOOKUP_MAP["steps-" + self._step]
+            t_slice, f1_slice, f2_slice = step_func(t_slice, f1_slice, f2_slice)
+
+        if self._interpolate:
+            start = self._get_interpolating_points(t, f1, f2, idx0)
+            end = self._get_interpolating_points(t, f1, f2, idx1)
+        else:
+            # Handle scalar f2 (e.g. 0): the fill should go all
+            # the way down to 0 even if none of the dep1 sample points do.
+            start = t_slice[0], f2_slice[0]
+            end = t_slice[-1], f2_slice[-1]
+
+        pts = np.concatenate((
+            np.asarray([start]),
+            np.stack((t_slice, f1_slice), axis=-1),
+            np.asarray([end]),
+            np.stack((t_slice, f2_slice), axis=-1)[::-1]))
+
+        return self._fix_pts_xy_order(pts)
+
+    @classmethod
+    def _get_interpolating_points(cls, t, f1, f2, idx):
+        """Calculate interpolating points."""
+        im1 = max(idx - 1, 0)
+        t_values = t[im1:idx+1]
+        diff_values = f1[im1:idx+1] - f2[im1:idx+1]
+        f1_values = f1[im1:idx+1]
+
+        if len(diff_values) == 2:
+            if np.ma.is_masked(diff_values[1]):
+                return t[im1], f1[im1]
+            elif np.ma.is_masked(diff_values[0]):
+                return t[idx], f1[idx]
+
+        diff_root_t = cls._get_diff_root(0, diff_values, t_values)
+        diff_root_f = cls._get_diff_root(diff_root_t, t_values, f1_values)
+        return diff_root_t, diff_root_f
 
-        collection = BrokenBarHCollection(
-            xranges, [ymin, ymax - ymin], **kwargs)
-        return collection
+    @staticmethod
+    def _get_diff_root(x, xp, fp):
+        """Calculate diff root."""
+        order = xp.argsort()
+        return np.interp(x, xp[order], fp[order])
+
+    def _fix_pts_xy_order(self, pts):
+        """
+        Fix pts calculation results with `self.t_direction`.
+
+        In the workflow, it is assumed that `self.t_direction` is 'x'. If this
+        is not true, we need to exchange the coordinates.
+        """
+        return pts[:, ::-1] if self.t_direction == "y" else pts
 
 
 class RegularPolyCollection(_CollectionWithSizes):
-    """Draw a collection of regular polygons with *numsides*."""
+    """A collection of n-sided regular polygons."""
+
     _path_generator = mpath.Path.unit_regular_polygon
+    _factor = np.pi ** (-1/2)
 
-    @docstring.dedent_interpd
     def __init__(self,
                  numsides,
+                 *,
                  rotation=0,
                  sizes=(1,),
                  **kwargs):
         """
-        *numsides*
-            the number of sides of the polygon
-
-        *rotation*
-            the rotation of the polygon in radians
-
-        *sizes*
-            gives the area of the circle circumscribing the
-            regular polygon in points^2
-
-        %(Collection)s
-
-        Example: see :file:`examples/dynamic_collection.py` for
-        complete example::
-
-            offsets = np.random.rand(20,2)
+        Parameters
+        ----------
+        numsides : int
+            The number of sides of the polygon.
+        rotation : float
+            The rotation of the polygon in radians.
+        sizes : tuple of float
+            The area of the circle circumscribing the polygon in points^2.
+        **kwargs
+            Forwarded to `.Collection`.
+
+        Examples
+        --------
+        See :doc:`/gallery/event_handling/lasso_demo` for a complete example::
+
+            offsets = np.random.rand(20, 2)
             facecolors = [cm.jet(x) for x in np.random.rand(20)]
-            black = (0,0,0,1)
 
             collection = RegularPolyCollection(
                 numsides=5, # a pentagon
                 rotation=0, sizes=(50,),
-                facecolors = facecolors,
-                edgecolors = (black,),
-                linewidths = (1,),
-                offsets = offsets,
-                transOffset = ax.transData,
+                facecolors=facecolors,
+                edgecolors=("black",),
+                linewidths=(1,),
+                offsets=offsets,
+                offset_transform=ax.transData,
                 )
         """
-        Collection.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self.set_sizes(sizes)
         self._numsides = numsides
         self._paths = [self._path_generator(numsides)]
@@ -931,220 +1650,228 @@ def get_numsides(self):
     def get_rotation(self):
         return self._rotation
 
-    @allow_rasterization
+    @artist.allow_rasterization
     def draw(self, renderer):
-        self.set_sizes(self._sizes, self.figure.dpi)
+        self.set_sizes(self._sizes, self.get_figure(root=True).dpi)
         self._transforms = [
             transforms.Affine2D(x).rotate(-self._rotation).get_matrix()
             for x in self._transforms
         ]
+        # Explicitly not super().draw, because set_sizes must be called before
+        # updating self._transforms.
         Collection.draw(self, renderer)
 
 
 class StarPolygonCollection(RegularPolyCollection):
-    """
-    Draw a collection of regular stars with *numsides* points."""
-
+    """Draw a collection of regular stars with *numsides* points."""
     _path_generator = mpath.Path.unit_regular_star
 
 
 class AsteriskPolygonCollection(RegularPolyCollection):
-    """
-    Draw a collection of regular asterisks with *numsides* points."""
-
+    """Draw a collection of regular asterisks with *numsides* points."""
     _path_generator = mpath.Path.unit_regular_asterisk
 
 
 class LineCollection(Collection):
-    """
-    All parameters must be sequences or scalars; if scalars, they will
-    be converted to sequences.  The property of the ith line
-    segment is::
+    r"""
+    Represents a sequence of `.Line2D`\s that should be drawn together.
 
-       prop[i % len(props)]
+    This class extends `.Collection` to represent a sequence of
+    `.Line2D`\s instead of just a sequence of `.Patch`\s.
+    Just as in `.Collection`, each property of a *LineCollection* may be either
+    a single value or a list of values. This list is then used cyclically for
+    each element of the LineCollection, so the property of the ``i``\th element
+    of the collection is::
 
-    i.e., the properties cycle if the ``len`` of props is less than the
-    number of segments.
+      prop[i % len(prop)]
+
+    The properties of each member of a *LineCollection* default to their values
+    in :rc:`lines.*` instead of :rc:`patch.*`, and the property *colors* is
+    added in place of *edgecolors*.
     """
 
+    _edge_default = True
 
-    def __init__(self, segments,     # Can be None.
-                 linewidths=None,
-                 colors=None,
-                 antialiaseds=None,
-                 linestyles='solid',
-                 offsets=None,
-                 transOffset=None,
-                 norm=None,
-                 cmap=None,
-                 pickradius=5,
-                 zorder=2,
+    def __init__(self, segments,  # Can be None.
+                 *,
+                 zorder=2,        # Collection.zorder is 1
                  **kwargs
                  ):
         """
-        *segments*
-            a sequence of (*line0*, *line1*, *line2*), where::
-
-                linen = (x0, y0), (x1, y1), ... (xm, ym)
-
-            or the equivalent numpy array with two columns. Each line
-            can be a different length.
-
-        *colors*
-            must be a sequence of RGBA tuples (e.g., arbitrary color
-            strings, etc, not allowed).
-
-        *antialiaseds*
-            must be a sequence of ones or zeros
-
-        *linestyles* [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
-            a string or dash tuple. The dash tuple is::
-
-                (offset, onoffseq),
-
-            where *onoffseq* is an even length tuple of on and off ink
-            in points.
-
-        If *linewidths*, *colors*, or *antialiaseds* is None, they
-        default to their rcParams setting, in sequence form.
-
-        If *offsets* and *transOffset* are not None, then
-        *offsets* are transformed by *transOffset* and applied after
-        the segments have been transformed to display coordinates.
-
-        If *offsets* is not None but *transOffset* is None, then the
-        *offsets* are added to the segments before any transformation.
-        In this case, a single offset can be specified as::
-
-            offsets=(xo,yo)
-
-        and this value will be added cumulatively to each successive
-        segment, so as to produce a set of successively offset curves.
-
-        *norm*
-            None (optional for :class:`matplotlib.cm.ScalarMappable`)
-        *cmap*
-            None (optional for :class:`matplotlib.cm.ScalarMappable`)
-
-        *pickradius* is the tolerance for mouse clicks picking a line.
-        The default is 5 pt.
-
-        *zorder*
-           The zorder of the LineCollection.  Default is 2
-
-        The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
-        If the :class:`~matplotlib.cm.ScalarMappable` array
-        :attr:`~matplotlib.cm.ScalarMappable._A` is not None (i.e., a call to
-        :meth:`~matplotlib.cm.ScalarMappable.set_array` has been made), at
-        draw time a call to scalar mappable will be made to set the colors.
-        """
-        if colors is None:
-            colors = mpl.rcParams['lines.color']
-        if linewidths is None:
-            linewidths = (mpl.rcParams['lines.linewidth'],)
-        if antialiaseds is None:
-            antialiaseds = (mpl.rcParams['lines.antialiased'],)
-        self.set_linestyles(linestyles)
-
-        colors = mcolors.colorConverter.to_rgba_array(colors)
-
-        Collection.__init__(
-            self,
-            edgecolors=colors,
-            facecolors='none',
-            linewidths=linewidths,
-            linestyles=linestyles,
-            antialiaseds=antialiaseds,
-            offsets=offsets,
-            transOffset=transOffset,
-            norm=norm,
-            cmap=cmap,
-            pickradius=pickradius,
+        Parameters
+        ----------
+        segments : list of (N, 2) array-like
+            A sequence ``[line0, line1, ...]`` where each line is a (N, 2)-shape
+            array-like containing points::
+
+                line0 = [(x0, y0), (x1, y1), ...]
+
+            Each line can contain a different number of points.
+        linewidths : float or list of float, default: :rc:`lines.linewidth`
+            The width of each line in points.
+        colors : :mpltype:`color` or list of color, default: :rc:`lines.color`
+            A sequence of RGBA tuples (e.g., arbitrary color strings, etc, not
+            allowed).
+        antialiaseds : bool or list of bool, default: :rc:`lines.antialiased`
+            Whether to use antialiasing for each line.
+        zorder : float, default: 2
+            zorder of the lines once drawn.
+
+        facecolors : :mpltype:`color` or list of :mpltype:`color`, default: 'none'
+            When setting *facecolors*, each line is interpreted as a boundary
+            for an area, implicitly closing the path from the last point to the
+            first point. The enclosed area is filled with *facecolor*.
+            In order to manually specify what should count as the "interior" of
+            each line, please use `.PathCollection` instead, where the
+            "interior" can be specified by appropriate usage of
+            `~.path.Path.CLOSEPOLY`.
+
+        **kwargs
+            Forwarded to `.Collection`.
+        """
+        # Unfortunately, mplot3d needs this explicit setting of 'facecolors'.
+        kwargs.setdefault('facecolors', 'none')
+        super().__init__(
             zorder=zorder,
             **kwargs)
-
         self.set_segments(segments)
 
     def set_segments(self, segments):
         if segments is None:
             return
-        _segments = []
-
-        for seg in segments:
 
-            if not np.ma.isMaskedArray(seg):
-                seg = np.asarray(seg, np.float_)
-            _segments.append(seg)
-        if self._uniform_offsets is not None:
-            _segments = self._add_offsets(_segments)
-        self._paths = [mpath.Path(seg) for seg in _segments]
+        self._paths = [mpath.Path(seg) if isinstance(seg, np.ma.MaskedArray)
+                       else mpath.Path(np.asarray(seg, float))
+                       for seg in segments]
+        self.stale = True
 
     set_verts = set_segments  # for compatibility with PolyCollection
     set_paths = set_segments
 
     def get_segments(self):
+        """
+        Returns
+        -------
+        list
+            List of segments in the LineCollection. Each list item contains an
+            array of vertices.
+        """
         segments = []
 
         for path in self._paths:
-            vertices = [vertex for vertex, _ in path.iter_segments()]
+            vertices = [
+                vertex
+                for vertex, _
+                # Never simplify here, we want to get the data-space values
+                # back and there in no way to know the "right" simplification
+                # threshold so never try.
+                in path.iter_segments(simplify=False)
+            ]
             vertices = np.asarray(vertices)
             segments.append(vertices)
 
         return segments
 
-    def _add_offsets(self, segs):
-        offsets = self._uniform_offsets
-        Nsegs = len(segs)
-        Noffs = offsets.shape[0]
-        if Noffs == 1:
-            for i in range(Nsegs):
-                segs[i] = segs[i] + i * offsets
-        else:
-            for i in range(Nsegs):
-                io = i % Noffs
-                segs[i] = segs[i] + offsets[io:io + 1]
-        return segs
+    def _get_default_linewidth(self):
+        return mpl.rcParams['lines.linewidth']
+
+    def _get_default_antialiased(self):
+        return mpl.rcParams['lines.antialiased']
+
+    def _get_default_edgecolor(self):
+        return mpl.rcParams['lines.color']
+
+    def _get_default_facecolor(self):
+        return 'none'
+
+    def set_alpha(self, alpha):
+        # docstring inherited
+        super().set_alpha(alpha)
+        if self._gapcolor is not None:
+            self.set_gapcolor(self._original_gapcolor)
 
     def set_color(self, c):
         """
-        Set the color(s) of the line collection.  *c* can be a
-        matplotlib color arg (all patches have same color), or a
-        sequence or rgba tuples; if it is a sequence the patches will
-        cycle through the sequence.
+        Set the edgecolor(s) of the LineCollection.
 
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
+        Parameters
+        ----------
+        c : :mpltype:`color` or list of :mpltype:`color`
+            Single color (all lines have same color), or a
+            sequence of RGBA tuples; if it is a sequence the lines will
+            cycle through the sequence.
         """
         self.set_edgecolor(c)
 
-    def color(self, c):
-        """
-        Set the color(s) of the line collection.  *c* can be a
-        matplotlib color arg (all patches have same color), or a
-        sequence or rgba tuples; if it is a sequence the patches will
-        cycle through the sequence
-
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
-        """
-        warnings.warn('LineCollection.color deprecated; use set_color instead')
-        return self.set_color(c)
+    set_colors = set_color
 
     def get_color(self):
         return self._edgecolors
+
     get_colors = get_color  # for compatibility with old versions
 
+    def set_gapcolor(self, gapcolor):
+        """
+        Set a color to fill the gaps in the dashed line style.
+
+        .. note::
+
+            Striped lines are created by drawing two interleaved dashed lines.
+            There can be overlaps between those two, which may result in
+            artifacts when using transparency.
+
+            This functionality is experimental and may change.
+
+        Parameters
+        ----------
+        gapcolor : :mpltype:`color` or list of :mpltype:`color` or None
+            The color with which to fill the gaps. If None, the gaps are
+            unfilled.
+        """
+        self._original_gapcolor = gapcolor
+        self._set_gapcolor(gapcolor)
+
+    def _set_gapcolor(self, gapcolor):
+        if gapcolor is not None:
+            gapcolor = mcolors.to_rgba_array(gapcolor, self._alpha)
+        self._gapcolor = gapcolor
+        self.stale = True
+
+    def get_gapcolor(self):
+        return self._gapcolor
+
+    def _get_inverse_paths_linestyles(self):
+        """
+        Returns the path and pattern for the gaps in the non-solid lines.
+
+        This path and pattern is the inverse of the path and pattern used to
+        construct the non-solid lines. For solid lines, we set the inverse path
+        to nans to prevent drawing an inverse line.
+        """
+        path_patterns = [
+            (mpath.Path(np.full((1, 2), np.nan)), ls)
+            if ls == (0, None) else
+            (path, mlines._get_inverse_dash_pattern(*ls))
+            for (path, ls) in
+            zip(self._paths, itertools.cycle(self._linestyles))]
+
+        return zip(*path_patterns)
+
 
 class EventCollection(LineCollection):
-    '''
-    A collection of discrete events.
+    """
+    A collection of locations along a single axis at which an "event" occurred.
+
+    The events are given by a 1-dimensional array. They do not have an
+    amplitude and are displayed as parallel lines.
+    """
 
-    An event is a 1-dimensional value, usually the position of something along
-    an axis, such as time or length.  Events do not have an amplitude.  They
-    are displayed as v
-    '''
+    _edge_default = True
 
     def __init__(self,
-                 positions,     # Can be None.
-                 orientation=None,
+                 positions,  # Cannot be None.
+                 orientation='horizontal',
+                 *,
                  lineoffset=0,
                  linelength=1,
                  linewidth=None,
@@ -1154,125 +1881,75 @@ def __init__(self,
                  **kwargs
                  ):
         """
-        *positions*
-            a sequence of numerical values or a 1D numpy array.  Can be None
-
-        *orientation* [ 'horizontal' | 'vertical' | None ]
-            defaults to 'horizontal' if not specified or None
-
-        *lineoffset*
-            a single numerical value, corresponding to the offset of the center
-            of the markers from the origin
-
-        *linelength*
-            a single numerical value, corresponding to the total height of the
-            marker (i.e. the marker stretches from lineoffset+linelength/2 to
-            lineoffset-linelength/2).  Defaults to 1
-
-        *linewidth*
-            a single numerical value
-
-        *color*
-            must be a sequence of RGBA tuples (e.g., arbitrary color
-            strings, etc, not allowed).
-
-        *linestyle* [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
-
-        *antialiased*
-            1 or 2
-
-        If *linewidth*, *color*, or *antialiased* is None, they
-        default to their rcParams setting, in sequence form.
-
-        *norm*
-            None (optional for :class:`matplotlib.cm.ScalarMappable`)
-        *cmap*
-            None (optional for :class:`matplotlib.cm.ScalarMappable`)
-
-        *pickradius* is the tolerance for mouse clicks picking a line.
-        The default is 5 pt.
-
-        The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
-        If the :class:`~matplotlib.cm.ScalarMappable` array
-        :attr:`~matplotlib.cm.ScalarMappable._A` is not None (i.e., a call to
-        :meth:`~matplotlib.cm.ScalarMappable.set_array` has been made), at
-        draw time a call to scalar mappable will be made to set the colors.
-
-        **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/eventcollection_demo.py
-        """
-
-        segment = (lineoffset + linelength / 2.,
-                   lineoffset - linelength / 2.)
-        if len(positions) == 0:
-            segments = []
-        elif hasattr(positions, 'ndim') and positions.ndim > 1:
-            raise ValueError('if positions is an ndarry it cannot have '
-                             'dimensionality great than 1 ')
-        elif (orientation is None or orientation.lower() == 'none' or
-              orientation.lower() == 'horizontal'):
-            positions.sort()
-            segments = [[(coord1, coord2) for coord2 in segment] for
-                        coord1 in positions]
-            self._is_horizontal = True
-        elif orientation.lower() == 'vertical':
-            positions.sort()
-            segments = [[(coord2, coord1) for coord2 in segment] for
-                        coord1 in positions]
-            self._is_horizontal = False
-        else:
-            raise ValueError("orientation must be 'horizontal' or 'vertical'")
+        Parameters
+        ----------
+        positions : 1D array-like
+            Each value is an event.
+        orientation : {'horizontal', 'vertical'}, default: 'horizontal'
+            The sequence of events is plotted along this direction.
+            The marker lines of the single events are along the orthogonal
+            direction.
+        lineoffset : float, default: 0
+            The offset of the center of the markers from the origin, in the
+            direction orthogonal to *orientation*.
+        linelength : float, default: 1
+            The total height of the marker (i.e. the marker stretches from
+            ``lineoffset - linelength/2`` to ``lineoffset + linelength/2``).
+        linewidth : float or list thereof, default: :rc:`lines.linewidth`
+            The line width of the event lines, in points.
+        color : :mpltype:`color` or list of :mpltype:`color`, default: :rc:`lines.color`
+            The color of the event lines.
+        linestyle : str or tuple or list thereof, default: 'solid'
+            Valid strings are ['solid', 'dashed', 'dashdot', 'dotted',
+            '-', '--', '-.', ':']. Dash tuples should be of the form::
 
-        LineCollection.__init__(self,
-                                segments,
-                                linewidths=linewidth,
-                                colors=color,
-                                antialiaseds=antialiased,
-                                linestyles=linestyle,
-                                **kwargs)
+                (offset, onoffseq),
 
+            where *onoffseq* is an even length tuple of on and off ink
+            in points.
+        antialiased : bool or list thereof, default: :rc:`lines.antialiased`
+            Whether to use antialiasing for drawing the lines.
+        **kwargs
+            Forwarded to `.LineCollection`.
+
+        Examples
+        --------
+        .. plot:: gallery/lines_bars_and_markers/eventcollection_demo.py
+        """
+        super().__init__([],
+                         linewidths=linewidth, linestyles=linestyle,
+                         colors=color, antialiaseds=antialiased,
+                         **kwargs)
+        self._is_horizontal = True  # Initial value, may be switched below.
         self._linelength = linelength
         self._lineoffset = lineoffset
+        self.set_orientation(orientation)
+        self.set_positions(positions)
 
     def get_positions(self):
-        '''
-        return an array containing the floating-point values of the positions
-        '''
-        segments = self.get_segments()
+        """
+        Return an array containing the floating-point values of the positions.
+        """
         pos = 0 if self.is_horizontal() else 1
-        positions = []
-        for segment in segments:
-            positions.append(segment[0, pos])
-        return positions
+        return [segment[0, pos] for segment in self.get_segments()]
 
     def set_positions(self, positions):
-        '''
-        set the positions of the events to the specified value
-        '''
-        if positions is None or (hasattr(positions, 'len') and
-                                 len(positions) == 0):
-            self.set_segments([])
-            return
-
+        """Set the positions of the events."""
+        if positions is None:
+            positions = []
+        if np.ndim(positions) != 1:
+            raise ValueError('positions must be one-dimensional')
         lineoffset = self.get_lineoffset()
         linelength = self.get_linelength()
-        segment = (lineoffset + linelength / 2.,
-                   lineoffset - linelength / 2.)
-        positions = np.asanyarray(positions)
-        positions.sort()
-        if self.is_horizontal():
-            segments = [[(coord1, coord2) for coord2 in segment] for
-                        coord1 in positions]
-        else:
-            segments = [[(coord2, coord1) for coord2 in segment] for
-                        coord1 in positions]
+        pos_idx = 0 if self.is_horizontal() else 1
+        segments = np.empty((len(positions), 2, 2))
+        segments[:, :, pos_idx] = np.sort(positions)[:, None]
+        segments[:, 0, 1 - pos_idx] = lineoffset + linelength / 2
+        segments[:, 1, 1 - pos_idx] = lineoffset - linelength / 2
         self.set_segments(segments)
 
     def add_positions(self, position):
-        '''
-        add one or more events at the specified positions
-        '''
+        """Add one or more events at the specified positions."""
         if position is None or (hasattr(position, 'len') and
                                 len(position) == 0):
             return
@@ -1282,57 +1959,48 @@ def add_positions(self, position):
     extend_positions = append_positions = add_positions
 
     def is_horizontal(self):
-        '''
-        True if the eventcollection is horizontal, False if vertical
-        '''
+        """True if the eventcollection is horizontal, False if vertical."""
         return self._is_horizontal
 
     def get_orientation(self):
-        '''
-        get the orientation of the event line, may be:
-        [ 'horizontal' | 'vertical' ]
-        '''
+        """
+        Return the orientation of the event line ('horizontal' or 'vertical').
+        """
         return 'horizontal' if self.is_horizontal() else 'vertical'
 
     def switch_orientation(self):
-        '''
-        switch the orientation of the event line, either from vertical to
-        horizontal or vice versus
-        '''
+        """
+        Switch the orientation of the event line, either from vertical to
+        horizontal or vice versus.
+        """
         segments = self.get_segments()
         for i, segment in enumerate(segments):
             segments[i] = np.fliplr(segment)
         self.set_segments(segments)
         self._is_horizontal = not self.is_horizontal()
+        self.stale = True
 
-    def set_orientation(self, orientation=None):
-        '''
-        set the orientation of the event line
-        [ 'horizontal' | 'vertical' | None ]
-        defaults to 'horizontal' if not specified or None
-        '''
-        if (orientation is None or orientation.lower() == 'none' or
-                orientation.lower() == 'horizontal'):
-            is_horizontal = True
-        elif orientation.lower() == 'vertical':
-            is_horizontal = False
-        else:
-            raise ValueError("orientation must be 'horizontal' or 'vertical'")
+    def set_orientation(self, orientation):
+        """
+        Set the orientation of the event line.
 
+        Parameters
+        ----------
+        orientation : {'horizontal', 'vertical'}
+        """
+        is_horizontal = _api.check_getitem(
+            {"horizontal": True, "vertical": False},
+            orientation=orientation)
         if is_horizontal == self.is_horizontal():
             return
         self.switch_orientation()
 
     def get_linelength(self):
-        '''
-        get the length of the lines used to mark each event
-        '''
+        """Return the length of the lines used to mark each event."""
         return self._linelength
 
     def set_linelength(self, linelength):
-        '''
-        set the length of the lines used to mark each event
-        '''
+        """Set the length of the lines used to mark each event."""
         if linelength == self.get_linelength():
             return
         lineoffset = self.get_lineoffset()
@@ -1345,15 +2013,11 @@ def set_linelength(self, linelength):
         self._linelength = linelength
 
     def get_lineoffset(self):
-        '''
-        get the offset of the lines used to mark each event
-        '''
+        """Return the offset of the lines used to mark each event."""
         return self._lineoffset
 
     def set_lineoffset(self, lineoffset):
-        '''
-        set the offset of the lines used to mark each event
-        '''
+        """Set the offset of the lines used to mark each event."""
         if lineoffset == self.get_lineoffset():
             return
         linelength = self.get_linelength()
@@ -1366,90 +2030,75 @@ def set_lineoffset(self, lineoffset):
         self._lineoffset = lineoffset
 
     def get_linewidth(self):
-        '''
-        get the width of the lines used to mark each event
-        '''
-        return self.get_linewidths()[0]
+        """Get the width of the lines used to mark each event."""
+        return super().get_linewidth()[0]
 
-    def get_linestyle(self):
-        '''
-        get the style of the lines used to mark each event
-        [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
-        '''
-        return self.get_linestyles()
+    def get_linewidths(self):
+        return super().get_linewidth()
 
     def get_color(self):
-        '''
-        get the color of the lines used to mark each event
-        '''
+        """Return the color of the lines used to mark each event."""
         return self.get_colors()[0]
 
 
 class CircleCollection(_CollectionWithSizes):
-    """
-    A collection of circles, drawn using splines.
-    """
-    @docstring.dedent_interpd
+    """A collection of circles, drawn using splines."""
+
+    _factor = np.pi ** (-1/2)
+
     def __init__(self, sizes, **kwargs):
         """
-        *sizes*
-            Gives the area of the circle in points^2
-
-        %(Collection)s
+        Parameters
+        ----------
+        sizes : float or array-like
+            The area of each circle in points^2.
+        **kwargs
+            Forwarded to `.Collection`.
         """
-        Collection.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self.set_sizes(sizes)
         self.set_transform(transforms.IdentityTransform())
         self._paths = [mpath.Path.unit_circle()]
 
 
 class EllipseCollection(Collection):
-    """
-    A collection of ellipses, drawn using splines.
-    """
-    @docstring.dedent_interpd
-    def __init__(self, widths, heights, angles, units='points', **kwargs):
-        """
-        *widths*: sequence
-            lengths of first axes (e.g., major axis lengths)
-
-        *heights*: sequence
-            lengths of second axes
-
-        *angles*: sequence
-            angles of first axes, degrees CCW from the X-axis
-
-        *units*: ['points' | 'inches' | 'dots' | 'width' | 'height'
-        | 'x' | 'y' | 'xy']
-
-            units in which majors and minors are given; 'width' and
-            'height' refer to the dimensions of the axes, while 'x'
-            and 'y' refer to the *offsets* data units. 'xy' differs
-            from all others in that the angle as plotted varies with
-            the aspect ratio, and equals the specified angle only when
-            the aspect ratio is unity.  Hence it behaves the same as
-            the :class:`~matplotlib.patches.Ellipse` with
-            axes.transData as its transform.
+    """A collection of ellipses, drawn using splines."""
 
-        Additional kwargs inherited from the base :class:`Collection`:
-
-        %(Collection)s
+    def __init__(self, widths, heights, angles, *, units='points', **kwargs):
         """
-        Collection.__init__(self, **kwargs)
-        self._widths = 0.5 * np.asarray(widths).ravel()
-        self._heights = 0.5 * np.asarray(heights).ravel()
-        self._angles = np.asarray(angles).ravel() * (np.pi / 180.0)
+        Parameters
+        ----------
+        widths : array-like
+            The lengths of the first axes (e.g., major axis lengths).
+        heights : array-like
+            The lengths of second axes.
+        angles : array-like
+            The angles of the first axes, degrees CCW from the x-axis.
+        units : {'points', 'inches', 'dots', 'width', 'height', 'x', 'y', 'xy'}
+            The units in which majors and minors are given; 'width' and
+            'height' refer to the dimensions of the axes, while 'x' and 'y'
+            refer to the *offsets* data units. 'xy' differs from all others in
+            that the angle as plotted varies with the aspect ratio, and equals
+            the specified angle only when the aspect ratio is unity.  Hence
+            it behaves the same as the `~.patches.Ellipse` with
+            ``axes.transData`` as its transform.
+        **kwargs
+            Forwarded to `Collection`.
+        """
+        super().__init__(**kwargs)
+        self.set_widths(widths)
+        self.set_heights(heights)
+        self.set_angles(angles)
         self._units = units
         self.set_transform(transforms.IdentityTransform())
-        self._transforms = []
+        self._transforms = np.empty((0, 3, 3))
         self._paths = [mpath.Path.unit_circle()]
 
     def _set_transforms(self):
-        """
-        Calculate transforms immediately before drawing.
-        """
+        """Calculate transforms immediately before drawing."""
+
         ax = self.axes
-        fig = self.figure
+        fig = self.get_figure(root=False)
 
         if self._units == 'xy':
             sc = 1
@@ -1468,7 +2117,7 @@ def _set_transforms(self):
         elif self._units == 'dots':
             sc = 1.0
         else:
-            raise ValueError('unrecognized units: %s' % self._units)
+            raise ValueError(f'Unrecognized units: {self._units!r}')
 
         self._transforms = np.zeros((len(self._widths), 3, 3))
         widths = self._widths * sc
@@ -1481,48 +2130,81 @@ def _set_transforms(self):
         self._transforms[:, 1, 1] = heights * cos_angle
         self._transforms[:, 2, 2] = 1.0
 
+        _affine = transforms.Affine2D
         if self._units == 'xy':
             m = ax.transData.get_affine().get_matrix().copy()
             m[:2, 2:] = 0
             self.set_transform(_affine(m))
 
-    @allow_rasterization
+    def set_widths(self, widths):
+        """Set the lengths of the first axes (e.g., major axis)."""
+        self._widths = 0.5 * np.asarray(widths).ravel()
+        self.stale = True
+
+    def set_heights(self, heights):
+        """Set the lengths of second axes (e.g., minor axes)."""
+        self._heights = 0.5 * np.asarray(heights).ravel()
+        self.stale = True
+
+    def set_angles(self, angles):
+        """Set the angles of the first axes, degrees CCW from the x-axis."""
+        self._angles = np.deg2rad(angles).ravel()
+        self.stale = True
+
+    def get_widths(self):
+        """Get the lengths of the first axes (e.g., major axis)."""
+        return self._widths * 2
+
+    def get_heights(self):
+        """Set the lengths of second axes (e.g., minor axes)."""
+        return self._heights * 2
+
+    def get_angles(self):
+        """Get the angles of the first axes, degrees CCW from the x-axis."""
+        return np.rad2deg(self._angles)
+
+    @artist.allow_rasterization
     def draw(self, renderer):
         self._set_transforms()
-        Collection.draw(self, renderer)
+        super().draw(renderer)
 
 
 class PatchCollection(Collection):
     """
     A generic collection of patches.
 
-    This makes it easier to assign a color map to a heterogeneous
+    PatchCollection draws faster than a large number of equivalent individual
+    Patches. It also makes it easier to assign a colormap to a heterogeneous
     collection of patches.
-
-    This also may improve plotting speed, since PatchCollection will
-    draw faster than a large number of patches.
     """
 
-    def __init__(self, patches, match_original=False, **kwargs):
+    def __init__(self, patches, *, match_original=False, **kwargs):
         """
-        *patches*
-            a sequence of Patch objects.  This list may include
+        Parameters
+        ----------
+        patches : list of `.Patch`
+            A sequence of Patch objects.  This list may include
             a heterogeneous assortment of different patch types.
 
-        *match_original*
+        match_original : bool, default: False
             If True, use the colors and linewidths of the original
             patches.  If False, new colors may be assigned by
             providing the standard collection arguments, facecolor,
             edgecolor, linewidths, norm or cmap.
 
-        If any of *edgecolors*, *facecolors*, *linewidths*,
-        *antialiaseds* are None, they default to their
-        :data:`matplotlib.rcParams` patch setting, in sequence form.
+        **kwargs
+            All other parameters are forwarded to `.Collection`.
 
-        The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
-        If the :class:`~matplotlib.cm.ScalarMappable` matrix _A is not
-        None (i.e., a call to set_array has been made), at draw time a
-        call to scalar mappable will be made to set the face colors.
+            If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
+            are None, they default to their `.rcParams` patch setting, in
+            sequence form.
+
+        Notes
+        -----
+        The use of `~matplotlib.cm.ScalarMappable` functionality is optional.
+        If the `~matplotlib.cm.ScalarMappable` matrix ``_A`` has been set (via
+        a call to `~.ScalarMappable.set_array`), at draw time a call to scalar
+        mappable will be made to set the face colors.
         """
 
         if match_original:
@@ -1537,7 +2219,7 @@ def determine_facecolor(patch):
             kwargs['linestyles'] = [p.get_linestyle() for p in patches]
             kwargs['antialiaseds'] = [p.get_antialiased() for p in patches]
 
-        Collection.__init__(self, **kwargs)
+        super().__init__(**kwargs)
 
         self.set_paths(patches)
 
@@ -1549,17 +2231,14 @@ def set_paths(self, patches):
 
 class TriMesh(Collection):
     """
-    Class for the efficient drawing of a triangular mesh using
-    Gouraud shading.
+    Class for the efficient drawing of a triangular mesh using Gouraud shading.
 
-    A triangular mesh is a :class:`~matplotlib.tri.Triangulation`
-    object.
+    A triangular mesh is a `~matplotlib.tri.Triangulation` object.
     """
     def __init__(self, triangulation, **kwargs):
-        Collection.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._triangulation = triangulation
         self._shading = 'gouraud'
-        self._is_filled = True
 
         self._bbox = transforms.Bbox.unit()
 
@@ -1580,31 +2259,27 @@ def set_paths(self):
     @staticmethod
     def convert_mesh_to_paths(tri):
         """
-        Converts a given mesh into a sequence of
-        :class:`matplotlib.path.Path` objects for easier rendering by
-        backends that do not directly support meshes.
+        Convert a given mesh into a sequence of `.Path` objects.
 
-        This function is primarily of use to backend implementers.
+        This function is primarily of use to implementers of backends that do
+        not directly support meshes.
         """
-        Path = mpath.Path
         triangles = tri.get_masked_triangles()
-        verts = np.concatenate((tri.x[triangles][..., np.newaxis],
-                                tri.y[triangles][..., np.newaxis]), axis=2)
-        return [Path(x) for x in verts]
+        verts = np.stack((tri.x[triangles], tri.y[triangles]), axis=-1)
+        return [mpath.Path(x) for x in verts]
 
-    @allow_rasterization
+    @artist.allow_rasterization
     def draw(self, renderer):
         if not self.get_visible():
             return
-        renderer.open_group(self.__class__.__name__)
+        renderer.open_group(self.__class__.__name__, gid=self.get_gid())
         transform = self.get_transform()
 
         # Get a list of triangles and the color at each vertex.
         tri = self._triangulation
         triangles = tri.get_masked_triangles()
 
-        verts = np.concatenate((tri.x[triangles][..., np.newaxis],
-                                tri.y[triangles][..., np.newaxis]), axis=2)
+        verts = np.stack((tri.x[triangles], tri.y[triangles]), axis=-1)
 
         self.update_scalarmappable()
         colors = self._facecolors[triangles]
@@ -1617,97 +2292,124 @@ def draw(self, renderer):
         renderer.close_group(self.__class__.__name__)
 
 
-class QuadMesh(Collection):
-    """
-    Class for the efficient drawing of a quadrilateral mesh.
+class _MeshData:
+    r"""
+    Class for managing the two dimensional coordinates of Quadrilateral meshes
+    and the associated data with them. This class is a mixin and is intended to
+    be used with another collection that will implement the draw separately.
+
+    A quadrilateral mesh is a grid of M by N adjacent quadrilaterals that are
+    defined via a (M+1, N+1) grid of vertices. The quadrilateral (m, n) is
+    defined by the vertices ::
+
+               (m+1, n) ----------- (m+1, n+1)
+                  /                   /
+                 /                 /
+                /               /
+            (m, n) -------- (m, n+1)
+
+    The mesh need not be regular and the polygons need not be convex.
+
+    Parameters
+    ----------
+    coordinates : (M+1, N+1, 2) array-like
+        The vertices. ``coordinates[m, n]`` specifies the (x, y) coordinates
+        of vertex (m, n).
 
-    A quadrilateral mesh consists of a grid of vertices. The
-    dimensions of this array are (*meshWidth* + 1, *meshHeight* +
-    1). Each vertex in the mesh has a different set of "mesh
-    coordinates" representing its position in the topology of the
-    mesh. For any values (*m*, *n*) such that 0 <= *m* <= *meshWidth*
-    and 0 <= *n* <= *meshHeight*, the vertices at mesh coordinates
-    (*m*, *n*), (*m*, *n* + 1), (*m* + 1, *n* + 1), and (*m* + 1, *n*)
-    form one of the quadrilaterals in the mesh. There are thus
-    (*meshWidth* * *meshHeight*) quadrilaterals in the mesh.  The mesh
-    need not be regular and the polygons need not be convex.
-
-    A quadrilateral mesh is represented by a (2 x ((*meshWidth* + 1) *
-    (*meshHeight* + 1))) numpy array *coordinates*, where each row is
-    the *x* and *y* coordinates of one of the vertices.  To define the
-    function that maps from a data point to its corresponding color,
-    use the :meth:`set_cmap` method.  Each of these arrays is indexed in
-    row-major order by the mesh coordinates of the vertex (or the mesh
-    coordinates of the lower left vertex, in the case of the
-    colors).
-
-    For example, the first entry in *coordinates* is the
-    coordinates of the vertex at mesh coordinates (0, 0), then the one
-    at (0, 1), then at (0, 2) .. (0, meshWidth), (1, 0), (1, 1), and
-    so on.
-
-    *shading* may be 'flat', or 'gouraud'
+    shading : {'flat', 'gouraud'}, default: 'flat'
     """
-    def __init__(self, meshWidth, meshHeight, coordinates,
-                 antialiased=True, shading='flat', **kwargs):
-        Collection.__init__(self, **kwargs)
-        self._meshWidth = meshWidth
-        self._meshHeight = meshHeight
+    def __init__(self, coordinates, *, shading='flat'):
+        _api.check_shape((None, None, 2), coordinates=coordinates)
         self._coordinates = coordinates
-        self._antialiased = antialiased
         self._shading = shading
 
-        self._bbox = transforms.Bbox.unit()
-        self._bbox.update_from_data_xy(coordinates.reshape(
-            ((meshWidth + 1) * (meshHeight + 1), 2)))
+    def set_array(self, A):
+        """
+        Set the data values.
 
-        # By converting to floats now, we can avoid that on every draw.
-        self._coordinates = self._coordinates.reshape(
-            (meshHeight + 1, meshWidth + 1, 2))
-        self._coordinates = np.array(self._coordinates, np.float_)
+        Parameters
+        ----------
+        A : array-like
+            The mesh data. Supported array shapes are:
+
+            - (M, N) or (M*N,): a mesh with scalar data. The values are mapped
+              to colors using normalization and a colormap. See parameters
+              *norm*, *cmap*, *vmin*, *vmax*.
+            - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).
+            - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),
+              i.e. including transparency.
+
+            If the values are provided as a 2D grid, the shape must match the
+            coordinates grid. If the values are 1D, they are reshaped to 2D.
+            M, N follow from the coordinates grid, where the coordinates grid
+            shape is (M, N) for 'gouraud' *shading* and (M+1, N+1) for 'flat'
+            shading.
+        """
+        height, width = self._coordinates.shape[0:-1]
+        if self._shading == 'flat':
+            h, w = height - 1, width - 1
+        else:
+            h, w = height, width
+        ok_shapes = [(h, w, 3), (h, w, 4), (h, w), (h * w,)]
+        if A is not None:
+            shape = np.shape(A)
+            if shape not in ok_shapes:
+                raise ValueError(
+                    f"For X ({width}) and Y ({height}) with {self._shading} "
+                    f"shading, A should have shape "
+                    f"{' or '.join(map(str, ok_shapes))}, not {A.shape}")
+        return super().set_array(A)
 
-    def get_paths(self):
-        if self._paths is None:
-            self.set_paths()
-        return self._paths
+    def get_coordinates(self):
+        """
+        Return the vertices of the mesh as an (M+1, N+1, 2) array.
 
-    def set_paths(self):
-        self._paths = self.convert_mesh_to_paths(
-            self._meshWidth, self._meshHeight, self._coordinates)
+        M, N are the number of quadrilaterals in the rows / columns of the
+        mesh, corresponding to (M+1, N+1) vertices.
+        The last dimension specifies the components (x, y).
+        """
+        return self._coordinates
+
+    def get_edgecolor(self):
+        # docstring inherited
+        # Note that we want to return an array of shape (N*M, 4)
+        # a flattened RGBA collection
+        return super().get_edgecolor().reshape(-1, 4)
+
+    def get_facecolor(self):
+        # docstring inherited
+        # Note that we want to return an array of shape (N*M, 4)
+        # a flattened RGBA collection
+        return super().get_facecolor().reshape(-1, 4)
 
     @staticmethod
-    def convert_mesh_to_paths(meshWidth, meshHeight, coordinates):
+    def _convert_mesh_to_paths(coordinates):
         """
-        Converts a given mesh into a sequence of
-        :class:`matplotlib.path.Path` objects for easier rendering by
-        backends that do not directly support quadmeshes.
+        Convert a given mesh into a sequence of `.Path` objects.
 
-        This function is primarily of use to backend implementers.
+        This function is primarily of use to implementers of backends that do
+        not directly support quadmeshes.
         """
-        Path = mpath.Path
-
-        if ma.isMaskedArray(coordinates):
+        if isinstance(coordinates, np.ma.MaskedArray):
             c = coordinates.data
         else:
             c = coordinates
-
-        points = np.concatenate((
-                    c[0:-1, 0:-1],
-                    c[0:-1, 1:],
-                    c[1:, 1:],
-                    c[1:, 0:-1],
-                    c[0:-1, 0:-1]
-                ), axis=2)
-        points = points.reshape((meshWidth * meshHeight, 5, 2))
-        return [Path(x) for x in points]
-
-    def convert_mesh_to_triangles(self, meshWidth, meshHeight, coordinates):
-        """
-        Converts a given mesh into a sequence of triangles, each point
-        with its own color.  This is useful for experiments using
-        `draw_qouraud_triangle`.
-        """
-        if ma.isMaskedArray(coordinates):
+        points = np.concatenate([
+            c[:-1, :-1],
+            c[:-1, 1:],
+            c[1:, 1:],
+            c[1:, :-1],
+            c[:-1, :-1]
+        ], axis=2).reshape((-1, 5, 2))
+        return [mpath.Path(x) for x in points]
+
+    def _convert_mesh_to_triangles(self, coordinates):
+        """
+        Convert a given mesh into a sequence of triangles, each point
+        with its own color.  The result can be used to construct a call to
+        `~.RendererBase.draw_gouraud_triangles`.
+        """
+        if isinstance(coordinates, np.ma.MaskedArray):
             p = coordinates.data
         else:
             p = coordinates
@@ -1717,89 +2419,252 @@ def convert_mesh_to_triangles(self, meshWidth, meshHeight, coordinates):
         p_c = p[1:, 1:]
         p_d = p[1:, :-1]
         p_center = (p_a + p_b + p_c + p_d) / 4.0
-
-        triangles = np.concatenate((
-                p_a, p_b, p_center,
-                p_b, p_c, p_center,
-                p_c, p_d, p_center,
-                p_d, p_a, p_center,
-            ), axis=2)
-        triangles = triangles.reshape((meshWidth * meshHeight * 4, 3, 2))
-
-        c = self.get_facecolor().reshape((meshHeight + 1, meshWidth + 1, 4))
+        triangles = np.concatenate([
+            p_a, p_b, p_center,
+            p_b, p_c, p_center,
+            p_c, p_d, p_center,
+            p_d, p_a, p_center,
+        ], axis=2).reshape((-1, 3, 2))
+
+        c = self.get_facecolor().reshape((*coordinates.shape[:2], 4))
+        z = self.get_array()
+        mask = z.mask if np.ma.is_masked(z) else None
+        if mask is not None:
+            c[mask, 3] = np.nan
         c_a = c[:-1, :-1]
         c_b = c[:-1, 1:]
         c_c = c[1:, 1:]
         c_d = c[1:, :-1]
         c_center = (c_a + c_b + c_c + c_d) / 4.0
+        colors = np.concatenate([
+            c_a, c_b, c_center,
+            c_b, c_c, c_center,
+            c_c, c_d, c_center,
+            c_d, c_a, c_center,
+        ], axis=2).reshape((-1, 3, 4))
+        tmask = np.isnan(colors[..., 2, 3])
+        return triangles[~tmask], colors[~tmask]
+
+
+class QuadMesh(_MeshData, Collection):
+    r"""
+    Class for the efficient drawing of a quadrilateral mesh.
+
+    A quadrilateral mesh is a grid of M by N adjacent quadrilaterals that are
+    defined via a (M+1, N+1) grid of vertices. The quadrilateral (m, n) is
+    defined by the vertices ::
+
+               (m+1, n) ----------- (m+1, n+1)
+                  /                   /
+                 /                 /
+                /               /
+            (m, n) -------- (m, n+1)
+
+    The mesh need not be regular and the polygons need not be convex.
+
+    Parameters
+    ----------
+    coordinates : (M+1, N+1, 2) array-like
+        The vertices. ``coordinates[m, n]`` specifies the (x, y) coordinates
+        of vertex (m, n).
 
-        colors = np.concatenate((
-                        c_a, c_b, c_center,
-                        c_b, c_c, c_center,
-                        c_c, c_d, c_center,
-                        c_d, c_a, c_center,
-                    ), axis=2)
-        colors = colors.reshape((meshWidth * meshHeight * 4, 3, 4))
+    antialiased : bool, default: True
 
-        return triangles, colors
+    shading : {'flat', 'gouraud'}, default: 'flat'
 
-    @allow_rasterization
+    Notes
+    -----
+    Unlike other `.Collection`\s, the default *pickradius* of `.QuadMesh` is 0,
+    i.e. `~.Artist.contains` checks whether the test point is within any of the
+    mesh quadrilaterals.
+
+    """
+
+    def __init__(self, coordinates, *, antialiased=True, shading='flat',
+                 **kwargs):
+        kwargs.setdefault("pickradius", 0)
+        super().__init__(coordinates=coordinates, shading=shading)
+        Collection.__init__(self, **kwargs)
+
+        self._antialiased = antialiased
+        self._bbox = transforms.Bbox.unit()
+        self._bbox.update_from_data_xy(self._coordinates.reshape(-1, 2))
+        self.set_mouseover(False)
+
+    def get_paths(self):
+        if self._paths is None:
+            self.set_paths()
+        return self._paths
+
+    def set_paths(self):
+        self._paths = self._convert_mesh_to_paths(self._coordinates)
+        self.stale = True
+
+    def get_datalim(self, transData):
+        return (self.get_transform() - transData).transform_bbox(self._bbox)
+
+    @artist.allow_rasterization
     def draw(self, renderer):
         if not self.get_visible():
             return
         renderer.open_group(self.__class__.__name__, self.get_gid())
         transform = self.get_transform()
-        transOffset = self.get_offset_transform()
-        offsets = self._offsets
+        offset_trf = self.get_offset_transform()
+        offsets = self.get_offsets()
 
         if self.have_units():
-            if len(self._offsets):
-                xs = self.convert_xunits(self._offsets[:, 0])
-                ys = self.convert_yunits(self._offsets[:, 1])
-                offsets = list(zip(xs, ys))
-
-        offsets = np.asarray(offsets, np.float_)
-        offsets.shape = (-1, 2)                 # Make it Nx2
+            xs = self.convert_xunits(offsets[:, 0])
+            ys = self.convert_yunits(offsets[:, 1])
+            offsets = np.column_stack([xs, ys])
 
         self.update_scalarmappable()
 
         if not transform.is_affine:
-            coordinates = self._coordinates.reshape(
-                (self._coordinates.shape[0] *
-                 self._coordinates.shape[1],
-                 2))
+            coordinates = self._coordinates.reshape((-1, 2))
             coordinates = transform.transform(coordinates)
             coordinates = coordinates.reshape(self._coordinates.shape)
             transform = transforms.IdentityTransform()
         else:
             coordinates = self._coordinates
 
-        if not transOffset.is_affine:
-            offsets = transOffset.transform_non_affine(offsets)
-            transOffset = transOffset.get_affine()
+        if not offset_trf.is_affine:
+            offsets = offset_trf.transform_non_affine(offsets)
+            offset_trf = offset_trf.get_affine()
 
         gc = renderer.new_gc()
+        gc.set_snap(self.get_snap())
         self._set_gc_clip(gc)
         gc.set_linewidth(self.get_linewidth()[0])
 
         if self._shading == 'gouraud':
-            triangles, colors = self.convert_mesh_to_triangles(
-                self._meshWidth, self._meshHeight, coordinates)
+            triangles, colors = self._convert_mesh_to_triangles(coordinates)
             renderer.draw_gouraud_triangles(
                 gc, triangles, colors, transform.frozen())
         else:
             renderer.draw_quad_mesh(
-                gc, transform.frozen(), self._meshWidth, self._meshHeight,
-                coordinates, offsets, transOffset, self.get_facecolor(),
-                self._antialiased, self.get_edgecolors())
+                gc, transform.frozen(),
+                coordinates.shape[1] - 1, coordinates.shape[0] - 1,
+                coordinates, offsets, offset_trf,
+                # Backends expect flattened rgba arrays (n*m, 4) for fc and ec
+                self.get_facecolor().reshape((-1, 4)),
+                self._antialiased, self.get_edgecolors().reshape((-1, 4)))
         gc.restore()
         renderer.close_group(self.__class__.__name__)
+        self.stale = False
+
+    def get_cursor_data(self, event):
+        contained, info = self.contains(event)
+        if contained and self.get_array() is not None:
+            return self.get_array().ravel()[info["ind"]]
+        return None
+
 
+class PolyQuadMesh(_MeshData, PolyCollection):
+    """
+    Class for drawing a quadrilateral mesh as individual Polygons.
+
+    A quadrilateral mesh is a grid of M by N adjacent quadrilaterals that are
+    defined via a (M+1, N+1) grid of vertices. The quadrilateral (m, n) is
+    defined by the vertices ::
+
+               (m+1, n) ----------- (m+1, n+1)
+                  /                   /
+                 /                 /
+                /               /
+            (m, n) -------- (m, n+1)
+
+    The mesh need not be regular and the polygons need not be convex.
+
+    Parameters
+    ----------
+    coordinates : (M+1, N+1, 2) array-like
+        The vertices. ``coordinates[m, n]`` specifies the (x, y) coordinates
+        of vertex (m, n).
+
+    Notes
+    -----
+    Unlike `.QuadMesh`, this class will draw each cell as an individual Polygon.
+    This is significantly slower, but allows for more flexibility when wanting
+    to add additional properties to the cells, such as hatching.
+
+    Another difference from `.QuadMesh` is that if any of the vertices or data
+    of a cell are masked, that Polygon will **not** be drawn and it won't be in
+    the list of paths returned.
+    """
+
+    def __init__(self, coordinates, **kwargs):
+        super().__init__(coordinates=coordinates)
+        PolyCollection.__init__(self, verts=[], **kwargs)
+        # Setting the verts updates the paths of the PolyCollection
+        # This is called after the initializers to make sure the kwargs
+        # have all been processed and available for the masking calculations
+        self._set_unmasked_verts()
+
+    def _get_unmasked_polys(self):
+        """Get the unmasked regions using the coordinates and array"""
+        # mask(X) | mask(Y)
+        mask = np.any(np.ma.getmaskarray(self._coordinates), axis=-1)
+
+        # We want the shape of the polygon, which is the corner of each X/Y array
+        mask = (mask[0:-1, 0:-1] | mask[1:, 1:] | mask[0:-1, 1:] | mask[1:, 0:-1])
+        arr = self.get_array()
+        if arr is not None:
+            arr = np.ma.getmaskarray(arr)
+            if arr.ndim == 3:
+                # RGB(A) case
+                mask |= np.any(arr, axis=-1)
+            elif arr.ndim == 2:
+                mask |= arr
+            else:
+                mask |= arr.reshape(self._coordinates[:-1, :-1, :].shape[:2])
+        return ~mask
+
+    def _set_unmasked_verts(self):
+        X = self._coordinates[..., 0]
+        Y = self._coordinates[..., 1]
+
+        unmask = self._get_unmasked_polys()
+        X1 = np.ma.filled(X[:-1, :-1])[unmask]
+        Y1 = np.ma.filled(Y[:-1, :-1])[unmask]
+        X2 = np.ma.filled(X[1:, :-1])[unmask]
+        Y2 = np.ma.filled(Y[1:, :-1])[unmask]
+        X3 = np.ma.filled(X[1:, 1:])[unmask]
+        Y3 = np.ma.filled(Y[1:, 1:])[unmask]
+        X4 = np.ma.filled(X[:-1, 1:])[unmask]
+        Y4 = np.ma.filled(Y[:-1, 1:])[unmask]
+        npoly = len(X1)
+
+        xy = np.ma.stack([X1, Y1, X2, Y2, X3, Y3, X4, Y4, X1, Y1], axis=-1)
+        verts = xy.reshape((npoly, 5, 2))
+        self.set_verts(verts)
 
-patchstr = artist.kwdoc(Collection)
-for k in ('QuadMesh', 'TriMesh', 'PolyCollection', 'BrokenBarHCollection',
-          'RegularPolyCollection', 'PathCollection',
-          'StarPolygonCollection', 'PatchCollection',
-          'CircleCollection', 'Collection',):
-    docstring.interpd.update({k: patchstr})
-docstring.interpd.update(LineCollection=artist.kwdoc(LineCollection))
+    def get_edgecolor(self):
+        # docstring inherited
+        # We only want to return the facecolors of the polygons
+        # that were drawn.
+        ec = super().get_edgecolor()
+        unmasked_polys = self._get_unmasked_polys().ravel()
+        if len(ec) != len(unmasked_polys):
+            # Mapping is off
+            return ec
+        return ec[unmasked_polys, :]
+
+    def get_facecolor(self):
+        # docstring inherited
+        # We only want to return the facecolors of the polygons
+        # that were drawn.
+        fc = super().get_facecolor()
+        unmasked_polys = self._get_unmasked_polys().ravel()
+        if len(fc) != len(unmasked_polys):
+            # Mapping is off
+            return fc
+        return fc[unmasked_polys, :]
+
+    def set_array(self, A):
+        # docstring inherited
+        prev_unmask = self._get_unmasked_polys()
+        super().set_array(A)
+        # If the mask has changed at all we need to update
+        # the set of Polys that we are drawing
+        if not np.array_equal(prev_unmask, self._get_unmasked_polys()):
+            self._set_unmasked_verts()
diff --git a/lib/matplotlib/collections.pyi b/lib/matplotlib/collections.pyi
new file mode 100644
index 000000000000..ecd969cfacc6
--- /dev/null
+++ b/lib/matplotlib/collections.pyi
@@ -0,0 +1,267 @@
+from collections.abc import Callable, Iterable, Sequence
+from typing import Literal
+
+import numpy as np
+from numpy.typing import ArrayLike, NDArray
+
+from . import colorizer, transforms
+from .backend_bases import MouseEvent
+from .artist import Artist
+from .colors import Normalize, Colormap
+from .lines import Line2D
+from .path import Path
+from .patches import Patch
+from .ticker import Locator, Formatter
+from .tri import Triangulation
+from .typing import ColorType, LineStyleType, CapStyleType, JoinStyleType
+
+class Collection(colorizer.ColorizingArtist):
+    def __init__(
+        self,
+        *,
+        edgecolors: ColorType | Sequence[ColorType] | None = ...,
+        facecolors: ColorType | Sequence[ColorType] | None = ...,
+        hatchcolors: ColorType | Sequence[ColorType] | Literal["edge"] | None = ...,
+        linewidths: float | Sequence[float] | None = ...,
+        linestyles: LineStyleType | Sequence[LineStyleType] = ...,
+        capstyle: CapStyleType | None = ...,
+        joinstyle: JoinStyleType | None = ...,
+        antialiaseds: bool | Sequence[bool] | None = ...,
+        offsets: tuple[float, float] | Sequence[tuple[float, float]] | None = ...,
+        offset_transform: transforms.Transform | None = ...,
+        norm: Normalize | None = ...,
+        cmap: Colormap | None = ...,
+        colorizer: colorizer.Colorizer | None = ...,
+        pickradius: float = ...,
+        hatch: str | None = ...,
+        urls: Sequence[str] | None = ...,
+        zorder: float = ...,
+        **kwargs
+    ) -> None: ...
+    def get_paths(self) -> Sequence[Path]: ...
+    def set_paths(self, paths: Sequence[Path]) -> None: ...
+    def get_transforms(self) -> Sequence[transforms.Transform]: ...
+    def get_offset_transform(self) -> transforms.Transform: ...
+    def set_offset_transform(self, offset_transform: transforms.Transform) -> None: ...
+    def get_datalim(self, transData: transforms.Transform) -> transforms.Bbox: ...
+    def set_pickradius(self, pickradius: float) -> None: ...
+    def get_pickradius(self) -> float: ...
+    def set_urls(self, urls: Sequence[str | None]) -> None: ...
+    def get_urls(self) -> Sequence[str | None]: ...
+    def set_hatch(self, hatch: str) -> None: ...
+    def get_hatch(self) -> str: ...
+    def set_hatch_linewidth(self, lw: float) -> None: ...
+    def get_hatch_linewidth(self) -> float: ...
+    def set_offsets(self, offsets: ArrayLike) -> None: ...
+    def get_offsets(self) -> ArrayLike: ...
+    def set_linewidth(self, lw: float | Sequence[float]) -> None: ...
+    def set_linestyle(self, ls: LineStyleType | Sequence[LineStyleType]) -> None: ...
+    def set_capstyle(self, cs: CapStyleType) -> None: ...
+    def get_capstyle(self) -> Literal["butt", "projecting", "round"] | None: ...
+    def set_joinstyle(self, js: JoinStyleType) -> None: ...
+    def get_joinstyle(self) -> Literal["miter", "round", "bevel"] | None: ...
+    def set_antialiased(self, aa: bool | Sequence[bool]) -> None: ...
+    def get_antialiased(self) -> NDArray[np.bool_]: ...
+    def set_color(self, c: ColorType | Sequence[ColorType]) -> None: ...
+    def set_facecolor(self, c: ColorType | Sequence[ColorType]) -> None: ...
+    def get_facecolor(self) -> ColorType | Sequence[ColorType]: ...
+    def get_edgecolor(self) -> ColorType | Sequence[ColorType]: ...
+    def set_edgecolor(self, c: ColorType | Sequence[ColorType]) -> None: ...
+    def get_hatchcolor(self) -> ColorType | Sequence[ColorType]: ...
+    def set_hatchcolor(
+        self, c: ColorType | Sequence[ColorType] | Literal["edge"]
+    ) -> None: ...
+    def set_alpha(self, alpha: float | Sequence[float] | None) -> None: ...
+    def get_linewidth(self) -> float | Sequence[float]: ...
+    def get_linestyle(self) -> LineStyleType | Sequence[LineStyleType]: ...
+    def update_scalarmappable(self) -> None: ...
+    def get_fill(self) -> bool: ...
+    def update_from(self, other: Artist) -> None: ...
+
+class _CollectionWithSizes(Collection):
+    def get_sizes(self) -> np.ndarray: ...
+    def set_sizes(self, sizes: ArrayLike | None, dpi: float = ...) -> None: ...
+
+class PathCollection(_CollectionWithSizes):
+    def __init__(
+        self, paths: Sequence[Path], sizes: ArrayLike | None = ..., **kwargs
+    ) -> None: ...
+    def set_paths(self, paths: Sequence[Path]) -> None: ...
+    def get_paths(self) -> Sequence[Path]: ...
+    def legend_elements(
+        self,
+        prop: Literal["colors", "sizes"] = ...,
+        num: int | Literal["auto"] | ArrayLike | Locator = ...,
+        fmt: str | Formatter | None = ...,
+        func: Callable[[ArrayLike], ArrayLike] = ...,
+        **kwargs,
+    ) -> tuple[list[Line2D], list[str]]: ...
+
+class PolyCollection(_CollectionWithSizes):
+    def __init__(
+        self,
+        verts: Sequence[ArrayLike],
+        sizes: ArrayLike | None = ...,
+        *,
+        closed: bool = ...,
+        **kwargs
+    ) -> None: ...
+    def set_verts(
+        self, verts: Sequence[ArrayLike | Path], closed: bool = ...
+    ) -> None: ...
+    def set_paths(self, verts: Sequence[Path], closed: bool = ...) -> None: ...
+    def set_verts_and_codes(
+        self, verts: Sequence[ArrayLike | Path], codes: Sequence[int]
+    ) -> None: ...
+
+class FillBetweenPolyCollection(PolyCollection):
+    def __init__(
+        self,
+        t_direction: Literal["x", "y"],
+        t: ArrayLike,
+        f1: ArrayLike,
+        f2: ArrayLike,
+        *,
+        where: Sequence[bool] | None = ...,
+        interpolate: bool = ...,
+        step: Literal["pre", "post", "mid"] | None = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_data(
+        self,
+        t: ArrayLike,
+        f1: ArrayLike,
+        f2: ArrayLike,
+        *,
+        where: Sequence[bool] | None = ...,
+    ) -> None: ...
+    def get_datalim(self, transData: transforms.Transform) -> transforms.Bbox: ...
+
+class RegularPolyCollection(_CollectionWithSizes):
+    def __init__(
+        self, numsides: int, *, rotation: float = ..., sizes: ArrayLike = ..., **kwargs
+    ) -> None: ...
+    def get_numsides(self) -> int: ...
+    def get_rotation(self) -> float: ...
+
+class StarPolygonCollection(RegularPolyCollection): ...
+class AsteriskPolygonCollection(RegularPolyCollection): ...
+
+class LineCollection(Collection):
+    def __init__(
+        self, segments: Sequence[ArrayLike], *, zorder: float = ..., **kwargs
+    ) -> None: ...
+    def set_segments(self, segments: Sequence[ArrayLike] | None) -> None: ...
+    def set_verts(self, segments: Sequence[ArrayLike] | None) -> None: ...
+    def set_paths(self, segments: Sequence[ArrayLike] | None) -> None: ...  # type: ignore[override]
+    def get_segments(self) -> list[np.ndarray]: ...
+    def set_color(self, c: ColorType | Sequence[ColorType]) -> None: ...
+    def set_colors(self, c: ColorType | Sequence[ColorType]) -> None: ...
+    def set_gapcolor(self, gapcolor: ColorType | Sequence[ColorType] | None) -> None: ...
+    def get_color(self) -> ColorType | Sequence[ColorType]: ...
+    def get_colors(self) -> ColorType | Sequence[ColorType]: ...
+    def get_gapcolor(self) -> ColorType | Sequence[ColorType] | None: ...
+
+
+class EventCollection(LineCollection):
+    def __init__(
+        self,
+        positions: ArrayLike,
+        orientation: Literal["horizontal", "vertical"] = ...,
+        *,
+        lineoffset: float = ...,
+        linelength: float = ...,
+        linewidth: float | Sequence[float] | None = ...,
+        color: ColorType | Sequence[ColorType] | None = ...,
+        linestyle: LineStyleType | Sequence[LineStyleType] = ...,
+        antialiased: bool | Sequence[bool] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_positions(self) -> list[float]: ...
+    def set_positions(self, positions: Sequence[float] | None) -> None: ...
+    def add_positions(self, position: Sequence[float] | None) -> None: ...
+    def extend_positions(self, position: Sequence[float] | None) -> None: ...
+    def append_positions(self, position: Sequence[float] | None) -> None: ...
+    def is_horizontal(self) -> bool: ...
+    def get_orientation(self) -> Literal["horizontal", "vertical"]: ...
+    def switch_orientation(self) -> None: ...
+    def set_orientation(
+        self, orientation: Literal["horizontal", "vertical"]
+    ) -> None: ...
+    def get_linelength(self) -> float | Sequence[float]: ...
+    def set_linelength(self, linelength: float | Sequence[float]) -> None: ...
+    def get_lineoffset(self) -> float: ...
+    def set_lineoffset(self, lineoffset: float) -> None: ...
+    def get_linewidth(self) -> float: ...
+    def get_linewidths(self) -> Sequence[float]: ...
+    def get_color(self) -> ColorType: ...
+
+class CircleCollection(_CollectionWithSizes):
+    def __init__(self, sizes: float | ArrayLike, **kwargs) -> None: ...
+
+class EllipseCollection(Collection):
+    def __init__(
+        self,
+        widths: ArrayLike,
+        heights: ArrayLike,
+        angles: ArrayLike,
+        *,
+        units: Literal[
+            "points", "inches", "dots", "width", "height", "x", "y", "xy"
+        ] = ...,
+        **kwargs
+    ) -> None: ...
+    def set_widths(self, widths: ArrayLike) -> None: ...
+    def set_heights(self, heights: ArrayLike) -> None: ...
+    def set_angles(self, angles: ArrayLike) -> None: ...
+    def get_widths(self) -> ArrayLike: ...
+    def get_heights(self) -> ArrayLike: ...
+    def get_angles(self) -> ArrayLike: ...
+
+class PatchCollection(Collection):
+    def __init__(
+        self, patches: Iterable[Patch], *, match_original: bool = ..., **kwargs
+    ) -> None: ...
+    def set_paths(self, patches: Iterable[Patch]) -> None: ...  # type: ignore[override]
+
+class TriMesh(Collection):
+    def __init__(self, triangulation: Triangulation, **kwargs) -> None: ...
+    def get_paths(self) -> list[Path]: ...
+    # Parent class has an argument, perhaps add a noop arg?
+    def set_paths(self) -> None: ...  # type: ignore[override]
+    @staticmethod
+    def convert_mesh_to_paths(tri: Triangulation) -> list[Path]: ...
+
+class _MeshData:
+    def __init__(
+        self,
+        coordinates: ArrayLike,
+        *,
+        shading: Literal["flat", "gouraud"] = ...,
+    ) -> None: ...
+    def set_array(self, A: ArrayLike | None) -> None: ...
+    def get_coordinates(self) -> ArrayLike: ...
+    def get_facecolor(self) -> ColorType | Sequence[ColorType]: ...
+    def get_edgecolor(self) -> ColorType | Sequence[ColorType]: ...
+
+class QuadMesh(_MeshData, Collection):
+    def __init__(
+        self,
+        coordinates: ArrayLike,
+        *,
+        antialiased: bool = ...,
+        shading: Literal["flat", "gouraud"] = ...,
+        **kwargs
+    ) -> None: ...
+    def get_paths(self) -> list[Path]: ...
+    # Parent class has an argument, perhaps add a noop arg?
+    def set_paths(self) -> None: ...  # type: ignore[override]
+    def get_datalim(self, transData: transforms.Transform) -> transforms.Bbox: ...
+    def get_cursor_data(self, event: MouseEvent) -> float: ...
+
+class PolyQuadMesh(_MeshData, PolyCollection):
+    def __init__(
+        self,
+        coordinates: ArrayLike,
+        **kwargs
+    ) -> None: ...
diff --git a/lib/matplotlib/colorbar.py b/lib/matplotlib/colorbar.py
index 2cc294ed4c40..19bdbe605d88 100644
--- a/lib/matplotlib/colorbar.py
+++ b/lib/matplotlib/colorbar.py
@@ -1,819 +1,1200 @@
-'''
-Colorbar toolkit with two classes and a function:
+"""
+Colorbars are a visualization of the mapping from scalar values to colors.
+In Matplotlib they are drawn into a dedicated `~.axes.Axes`.
 
-    :class:`ColorbarBase`
-        the base class with full colorbar drawing functionality.
-        It can be used as-is to make a colorbar for a given colormap;
-        a mappable object (e.g., image) is not needed.
+.. note::
+   Colorbars are typically created through `.Figure.colorbar` or its pyplot
+   wrapper `.pyplot.colorbar`, which internally use `.Colorbar` together with
+   `.make_axes_gridspec` (for `.GridSpec`-positioned Axes) or `.make_axes` (for
+   non-`.GridSpec`-positioned Axes).
 
-    :class:`Colorbar`
-        the derived class for use with images or contour plots.
+   End-users most likely won't need to directly use this module's API.
+"""
 
-    :func:`make_axes`
-        a function for resizing an axes and adding a second axes
-        suitable for a colorbar
-
-The :meth:`~matplotlib.figure.Figure.colorbar` method uses :func:`make_axes`
-and :class:`Colorbar`; the :func:`~matplotlib.pyplot.colorbar` function
-is a thin wrapper over :meth:`~matplotlib.figure.Figure.colorbar`.
-
-'''
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import warnings
+import logging
 
 import numpy as np
 
 import matplotlib as mpl
+from matplotlib import _api, cbook, collections, colors, contour, ticker
 import matplotlib.artist as martist
-import matplotlib.cbook as cbook
-import matplotlib.collections as collections
-import matplotlib.colors as colors
-import matplotlib.contour as contour
-import matplotlib.cm as cm
-import matplotlib.gridspec as gridspec
+import matplotlib.colorizer as mcolorizer
 import matplotlib.patches as mpatches
 import matplotlib.path as mpath
-import matplotlib.ticker as ticker
-import matplotlib.transforms as mtrans
-
-from matplotlib import docstring
-
-make_axes_kw_doc = '''
-
-    ============= ====================================================
-    Property      Description
-    ============= ====================================================
-    *orientation* vertical or horizontal
-    *fraction*    0.15; fraction of original axes to use for colorbar
-    *pad*         0.05 if vertical, 0.15 if horizontal; fraction
-                  of original axes between colorbar and new image axes
-    *shrink*      1.0; fraction by which to shrink the colorbar
-    *aspect*      20; ratio of long to short dimensions
-    *anchor*      (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal;
-                  the anchor point of the colorbar axes
-    *panchor*     (1.0, 0.5) if vertical; (0.5, 0.0) if horizontal;
-                  the anchor point of the colorbar parent axes. If
-                  False, the parent axes' anchor will be unchanged
-    ============= ====================================================
-
-'''
-
-colormap_kw_doc = '''
-
-    ============  ====================================================
-    Property      Description
-    ============  ====================================================
-    *extend*      [ 'neither' | 'both' | 'min' | 'max' ]
-                  If not 'neither', make pointed end(s) for out-of-
-                  range values.  These are set for a given colormap
-                  using the colormap set_under and set_over methods.
-    *extendfrac*  [ *None* | 'auto' | length | lengths ]
-                  If set to *None*, both the minimum and maximum
-                  triangular colorbar extensions with have a length of
-                  5% of the interior colorbar length (this is the
-                  default setting). If set to 'auto', makes the
-                  triangular colorbar extensions the same lengths as
-                  the interior boxes (when *spacing* is set to
-                  'uniform') or the same lengths as the respective
-                  adjacent interior boxes (when *spacing* is set to
-                  'proportional'). If a scalar, indicates the length
-                  of both the minimum and maximum triangular colorbar
-                  extensions as a fraction of the interior colorbar
-                  length. A two-element sequence of fractions may also
-                  be given, indicating the lengths of the minimum and
-                  maximum colorbar extensions respectively as a
-                  fraction of the interior colorbar length.
-    *extendrect*  [ *False* | *True* ]
-                  If *False* the minimum and maximum colorbar extensions
-                  will be triangular (the default). If *True* the
-                  extensions will be rectangular.
-    *spacing*     [ 'uniform' | 'proportional' ]
-                  Uniform spacing gives each discrete color the same
-                  space; proportional makes the space proportional to
-                  the data interval.
-    *ticks*       [ None | list of ticks | Locator object ]
-                  If None, ticks are determined automatically from the
-                  input.
-    *format*      [ None | format string | Formatter object ]
-                  If None, the
-                  :class:`~matplotlib.ticker.ScalarFormatter` is used.
-                  If a format string is given, e.g., '%.3f', that is
-                  used. An alternative
-                  :class:`~matplotlib.ticker.Formatter` object may be
-                  given instead.
-    *drawedges*   [ False | True ] If true, draw lines at color
-                  boundaries.
-    ============  ====================================================
-
-    The following will probably be useful only in the context of
-    indexed colors (that is, when the mappable has norm=NoNorm()),
-    or other unusual circumstances.
-
-    ============   ===================================================
-    Property       Description
-    ============   ===================================================
-    *boundaries*   None or a sequence
-    *values*       None or a sequence which must be of length 1 less
-                   than the sequence of *boundaries*. For each region
-                   delimited by adjacent entries in *boundaries*, the
-                   color mapped to the corresponding value in values
-                   will be used.
-    ============   ===================================================
-
-'''
-
-colorbar_doc = '''
-
-Add a colorbar to a plot.
-
-Function signatures for the :mod:`~matplotlib.pyplot` interface; all
-but the first are also method signatures for the
-:meth:`~matplotlib.figure.Figure.colorbar` method::
-
-  colorbar(**kwargs)
-  colorbar(mappable, **kwargs)
-  colorbar(mappable, cax=cax, **kwargs)
-  colorbar(mappable, ax=ax, **kwargs)
-
-arguments:
-
-  *mappable*
-    the :class:`~matplotlib.image.Image`,
-    :class:`~matplotlib.contour.ContourSet`, etc. to
-    which the colorbar applies; this argument is mandatory for the
-    :meth:`~matplotlib.figure.Figure.colorbar` method but optional for the
-    :func:`~matplotlib.pyplot.colorbar` function, which sets the
-    default to the current image.
-
-keyword arguments:
-
-  *cax*
-    None | axes object into which the colorbar will be drawn
-  *ax*
-    None | parent axes object(s) from which space for a new
-    colorbar axes will be stolen. If a list of axes is given
-    they will all be resized to make room for the colorbar axes.
-  *use_gridspec*
-    False | If *cax* is None, a new *cax* is created as an instance of
-    Axes. If *ax* is an instance of Subplot and *use_gridspec* is True,
-    *cax* is created as an instance of Subplot using the
-    grid_spec module.
-
-
-Additional keyword arguments are of two kinds:
-
-  axes properties:
-%s
-  colorbar properties:
-%s
-
-If *mappable* is a :class:`~matplotlib.contours.ContourSet`, its *extend*
-kwarg is included automatically.
-
-Note that the *shrink* kwarg provides a simple way to keep a vertical
-colorbar, for example, from being taller than the axes of the mappable
-to which the colorbar is attached; but it is a manual method requiring
-some trial and error. If the colorbar is too tall (or a horizontal
-colorbar is too wide) use a smaller value of *shrink*.
-
-For more precise control, you can manually specify the positions of
-the axes objects in which the mappable and the colorbar are drawn.  In
-this case, do not use any of the axes properties kwargs.
-
-It is known that some vector graphics viewer (svg and pdf) renders white gaps
-between segments of the colorbar. This is due to bugs in the viewers not
-matplotlib. As a workaround the colorbar can be rendered with overlapping
-segments::
-
-    cbar = colorbar()
-    cbar.solids.set_edgecolor("face")
-    draw()
-
-However this has negative consequences in other circumstances. Particularly
-with semi transparent images (alpha < 1) and colorbar extensions and is not
-enabled by default see (issue #1188).
-
-returns:
-    :class:`~matplotlib.colorbar.Colorbar` instance; see also its base class,
-    :class:`~matplotlib.colorbar.ColorbarBase`.  Call the
-    :meth:`~matplotlib.colorbar.ColorbarBase.set_label` method
-    to label the colorbar.
-
-''' % (make_axes_kw_doc, colormap_kw_doc)
-
-docstring.interpd.update(colorbar_doc=colorbar_doc)
+import matplotlib.spines as mspines
+import matplotlib.transforms as mtransforms
+from matplotlib import _docstring
+
+_log = logging.getLogger(__name__)
+
+_docstring.interpd.register(
+    _make_axes_kw_doc="""
+location : None or {'left', 'right', 'top', 'bottom'}
+    The location, relative to the parent Axes, where the colorbar Axes
+    is created.  It also determines the *orientation* of the colorbar
+    (colorbars on the left and right are vertical, colorbars at the top
+    and bottom are horizontal).  If None, the location will come from the
+    *orientation* if it is set (vertical colorbars on the right, horizontal
+    ones at the bottom), or default to 'right' if *orientation* is unset.
+
+orientation : None or {'vertical', 'horizontal'}
+    The orientation of the colorbar.  It is preferable to set the *location*
+    of the colorbar, as that also determines the *orientation*; passing
+    incompatible values for *location* and *orientation* raises an exception.
+
+fraction : float, default: 0.15
+    Fraction of original Axes to use for colorbar.
+
+shrink : float, default: 1.0
+    Fraction by which to multiply the size of the colorbar.
+
+aspect : float, default: 20
+    Ratio of long to short dimensions.
+
+pad : float, default: 0.05 if vertical, 0.15 if horizontal
+    Fraction of original Axes between colorbar and new image Axes.
+
+anchor : (float, float), optional
+    The anchor point of the colorbar Axes.
+    Defaults to (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal.
+
+panchor : (float, float), or *False*, optional
+    The anchor point of the colorbar parent Axes. If *False*, the parent
+    axes' anchor will be unchanged.
+    Defaults to (1.0, 0.5) if vertical; (0.5, 0.0) if horizontal.""",
+    _colormap_kw_doc="""
+extend : {'neither', 'both', 'min', 'max'}
+    Make pointed end(s) for out-of-range values (unless 'neither').  These are
+    set for a given colormap using the colormap set_under and set_over methods.
+
+extendfrac : {*None*, 'auto', length, lengths}
+    If set to *None*, both the minimum and maximum triangular colorbar
+    extensions will have a length of 5% of the interior colorbar length (this
+    is the default setting).
+
+    If set to 'auto', makes the triangular colorbar extensions the same lengths
+    as the interior boxes (when *spacing* is set to 'uniform') or the same
+    lengths as the respective adjacent interior boxes (when *spacing* is set to
+    'proportional').
+
+    If a scalar, indicates the length of both the minimum and maximum
+    triangular colorbar extensions as a fraction of the interior colorbar
+    length.  A two-element sequence of fractions may also be given, indicating
+    the lengths of the minimum and maximum colorbar extensions respectively as
+    a fraction of the interior colorbar length.
+
+extendrect : bool
+    If *False* the minimum and maximum colorbar extensions will be triangular
+    (the default).  If *True* the extensions will be rectangular.
+
+ticks : None or list of ticks or Locator
+    If None, ticks are determined automatically from the input.
+
+format : None or str or Formatter
+    If None, `~.ticker.ScalarFormatter` is used.
+    Format strings, e.g., ``"%4.2e"`` or ``"{x:.2e}"``, are supported.
+    An alternative `~.ticker.Formatter` may be given instead.
+
+drawedges : bool
+    Whether to draw lines at color boundaries.
+
+label : str
+    The label on the colorbar's long axis.
+
+boundaries, values : None or a sequence
+    If unset, the colormap will be displayed on a 0-1 scale.
+    If sequences, *values* must have a length 1 less than *boundaries*.  For
+    each region delimited by adjacent entries in *boundaries*, the color mapped
+    to the corresponding value in *values* will be used.  The size of each
+    region is determined by the *spacing* parameter.
+    Normally only useful for indexed colors (i.e. ``norm=NoNorm()``) or other
+    unusual circumstances.
+
+spacing : {'uniform', 'proportional'}
+    For discrete colorbars (`.BoundaryNorm` or contours), 'uniform' gives each
+    color the same space; 'proportional' makes the space proportional to the
+    data interval.""")
+
+
+def _set_ticks_on_axis_warn(*args, **kwargs):
+    # a top level function which gets put in at the axes'
+    # set_xticks and set_yticks by Colorbar.__init__.
+    _api.warn_external("Use the colorbar set_ticks() method instead.")
 
 
-def _set_ticks_on_axis_warn(*args, **kw):
-    # a top level function which gets put in at the axes'
-    # set_xticks set_yticks by _patch_ax
-    warnings.warn("Use the colorbar set_ticks() method instead.")
+class _ColorbarSpine(mspines.Spine):
+    def __init__(self, axes):
+        self._ax = axes
+        super().__init__(axes, 'colorbar', mpath.Path(np.empty((0, 2))))
+        mpatches.Patch.set_transform(self, axes.transAxes)
 
+    def get_window_extent(self, renderer=None):
+        # This Spine has no Axis associated with it, and doesn't need to adjust
+        # its location, so we can directly get the window extent from the
+        # super-super-class.
+        return mpatches.Patch.get_window_extent(self, renderer=renderer)
 
-class ColorbarBase(cm.ScalarMappable):
-    '''
-    Draw a colorbar in an existing axes.
+    def set_xy(self, xy):
+        self._path = mpath.Path(xy, closed=True)
+        self._xy = xy
+        self.stale = True
 
-    This is a base class for the :class:`Colorbar` class, which is the
-    basis for the :func:`~matplotlib.pyplot.colorbar` function and the
-    :meth:`~matplotlib.figure.Figure.colorbar` method, which are the
-    usual ways of creating a colorbar.
+    def draw(self, renderer):
+        ret = mpatches.Patch.draw(self, renderer)
+        self.stale = False
+        return ret
 
-    It is also useful by itself for showing a colormap.  If the *cmap*
-    kwarg is given but *boundaries* and *values* are left as None,
-    then the colormap will be displayed on a 0-1 scale. To show the
-    under- and over-value colors, specify the *norm* as::
 
-        colors.Normalize(clip=False)
+class _ColorbarAxesLocator:
+    """
+    Shrink the Axes if there are triangular or rectangular extends.
+    """
+    def __init__(self, cbar):
+        self._cbar = cbar
+        self._orig_locator = cbar.ax._axes_locator
 
-    To show the colors versus index instead of on the 0-1 scale,
-    use::
+    def __call__(self, ax, renderer):
+        if self._orig_locator is not None:
+            pos = self._orig_locator(ax, renderer)
+        else:
+            pos = ax.get_position(original=True)
+        if self._cbar.extend == 'neither':
+            return pos
+
+        y, extendlen = self._cbar._proportional_y()
+        if not self._cbar._extend_lower():
+            extendlen[0] = 0
+        if not self._cbar._extend_upper():
+            extendlen[1] = 0
+        len = sum(extendlen) + 1
+        shrink = 1 / len
+        offset = extendlen[0] / len
+        # we need to reset the aspect ratio of the axes to account
+        # of the extends...
+        if hasattr(ax, '_colorbar_info'):
+            aspect = ax._colorbar_info['aspect']
+        else:
+            aspect = False
+        # now shrink and/or offset to take into account the
+        # extend tri/rectangles.
+        if self._cbar.orientation == 'vertical':
+            if aspect:
+                self._cbar.ax.set_box_aspect(aspect*shrink)
+            pos = pos.shrunk(1, shrink).translated(0, offset * pos.height)
+        else:
+            if aspect:
+                self._cbar.ax.set_box_aspect(1/(aspect * shrink))
+            pos = pos.shrunk(shrink, 1).translated(offset * pos.width, 0)
+        return pos
 
-        norm=colors.NoNorm.
+    def get_subplotspec(self):
+        # make tight_layout happy..
+        return (
+            self._cbar.ax.get_subplotspec()
+            or getattr(self._orig_locator, "get_subplotspec", lambda: None)())
 
-    Useful attributes:
 
-        :attr:`ax`
-            the Axes instance in which the colorbar is drawn
+@_docstring.interpd
+class Colorbar:
+    r"""
+    Draw a colorbar in an existing Axes.
 
-        :attr:`lines`
-            a list of LineCollection if lines were drawn, otherwise
-            an empty list
+    Typically, colorbars are created using `.Figure.colorbar` or
+    `.pyplot.colorbar` and associated with `.ColorizingArtist`\s (such as an
+    `.AxesImage` generated via `~.axes.Axes.imshow`).
 
-        :attr:`dividers`
-            a LineCollection if *drawedges* is True, otherwise None
+    In order to draw a colorbar not associated with other elements in the
+    figure, e.g. when showing a colormap by itself, one can create an empty
+    `.ColorizingArtist`, or directly pass *cmap* and *norm* instead of *mappable*
+    to `Colorbar`.
 
     Useful public methods are :meth:`set_label` and :meth:`add_lines`.
 
-    '''
-    _slice_dict = {'neither': slice(0, None),
-                   'both': slice(1, -1),
-                   'min': slice(1, None),
-                   'max': slice(0, -1)}
-
-    def __init__(self, ax, cmap=None,
-                 norm=None,
-                 alpha=None,
-                 values=None,
-                 boundaries=None,
-                 orientation='vertical',
-                 ticklocation='auto',
-                 extend='neither',
-                 spacing='uniform',  # uniform or proportional
-                 ticks=None,
-                 format=None,
-                 drawedges=False,
-                 filled=True,
-                 extendfrac=None,
-                 extendrect=False,
-                 label='',
-                 ):
-        #: The axes that this colorbar lives in.
+    Attributes
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The `~.axes.Axes` instance in which the colorbar is drawn.
+    lines : list
+        A list of `.LineCollection` (empty if no lines were drawn).
+    dividers : `.LineCollection`
+        A LineCollection (empty if *drawedges* is ``False``).
+    """
+
+    n_rasterize = 50  # rasterize solids if number of colors >= n_rasterize
+
+    def __init__(
+        self, ax, mappable=None, *,
+        alpha=None,
+        location=None,
+        extend=None,
+        extendfrac=None,
+        extendrect=False,
+        ticks=None,
+        format=None,
+        values=None,
+        boundaries=None,
+        spacing='uniform',
+        drawedges=False,
+        label='',
+        cmap=None, norm=None,  # redundant with *mappable*
+        orientation=None, ticklocation='auto',  # redundant with *location*
+    ):
+        """
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` instance in which the colorbar is drawn.
+
+        mappable : `.ColorizingArtist`
+            The mappable whose colormap and norm will be used.
+
+            To show the colors versus index instead of on a 0-1 scale, set the
+            mappable's norm to ``colors.NoNorm()``.
+
+        alpha : float
+            The colorbar transparency between 0 (transparent) and 1 (opaque).
+
+        location : None or {'left', 'right', 'top', 'bottom'}
+            Set the colorbar's *orientation* and *ticklocation*. Colorbars on
+            the left and right are vertical, colorbars at the top and bottom
+            are horizontal. The *ticklocation* is the same as *location*, so if
+            *location* is 'top', the ticks are on the top. *orientation* and/or
+            *ticklocation* can be provided as well and overrides the value set by
+            *location*, but there will be an error for incompatible combinations.
+
+            .. versionadded:: 3.7
+
+        %(_colormap_kw_doc)s
+
+        Other Parameters
+        ----------------
+        cmap : `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+            The colormap to use.  This parameter is ignored, unless *mappable* is
+            None.
+
+        norm : `~matplotlib.colors.Normalize`
+            The normalization to use.  This parameter is ignored, unless *mappable*
+            is None.
+
+        orientation : None or {'vertical', 'horizontal'}
+            If None, use the value determined by *location*. If both
+            *orientation* and *location* are None then defaults to 'vertical'.
+
+        ticklocation : {'auto', 'left', 'right', 'top', 'bottom'}
+            The location of the colorbar ticks. The *ticklocation* must match
+            *orientation*. For example, a horizontal colorbar can only have ticks
+            at the top or the bottom. If 'auto', the ticks will be the same as
+            *location*, so a colorbar to the left will have ticks to the left. If
+            *location* is None, the ticks will be at the bottom for a horizontal
+            colorbar and at the right for a vertical.
+        """
+        if mappable is None:
+            colorizer = mcolorizer.Colorizer(norm=norm, cmap=cmap)
+            mappable = mcolorizer.ColorizingArtist(colorizer)
+
+        self.mappable = mappable
+        cmap = mappable.cmap
+        norm = mappable.norm
+
+        filled = True
+        if isinstance(mappable, contour.ContourSet):
+            cs = mappable
+            alpha = cs.get_alpha()
+            boundaries = cs._levels
+            values = cs.cvalues
+            extend = cs.extend
+            filled = cs.filled
+            if ticks is None:
+                ticks = ticker.FixedLocator(cs.levels, nbins=10)
+        elif isinstance(mappable, martist.Artist):
+            alpha = mappable.get_alpha()
+
+        mappable.colorbar = self
+        mappable.colorbar_cid = mappable.callbacks.connect(
+            'changed', self.update_normal)
+
+        location_orientation = _get_orientation_from_location(location)
+
+        _api.check_in_list(
+            [None, 'vertical', 'horizontal'], orientation=orientation)
+        _api.check_in_list(
+            ['auto', 'left', 'right', 'top', 'bottom'],
+            ticklocation=ticklocation)
+        _api.check_in_list(
+            ['uniform', 'proportional'], spacing=spacing)
+
+        if location_orientation is not None and orientation is not None:
+            if location_orientation != orientation:
+                raise TypeError(
+                    "location and orientation are mutually exclusive")
+        else:
+            orientation = orientation or location_orientation or "vertical"
+
         self.ax = ax
-        self._patch_ax()
-        if cmap is None:
-            cmap = cm.get_cmap()
-        if norm is None:
-            norm = colors.Normalize()
-        self.alpha = alpha
-        cm.ScalarMappable.__init__(self, cmap=cmap, norm=norm)
+        self.ax._axes_locator = _ColorbarAxesLocator(self)
+
+        if extend is None:
+            if (not isinstance(mappable, contour.ContourSet)
+                    and getattr(cmap, 'colorbar_extend', False) is not False):
+                extend = cmap.colorbar_extend
+            elif hasattr(norm, 'extend'):
+                extend = norm.extend
+            else:
+                extend = 'neither'
+        self.alpha = None
+        # Call set_alpha to handle array-like alphas properly
+        self.set_alpha(alpha)
+        self.cmap = cmap
+        self.norm = norm
         self.values = values
         self.boundaries = boundaries
         self.extend = extend
-        self._inside = self._slice_dict[extend]
+        self._inside = _api.check_getitem(
+            {'neither': slice(0, None), 'both': slice(1, -1),
+             'min': slice(1, None), 'max': slice(0, -1)},
+            extend=extend)
         self.spacing = spacing
         self.orientation = orientation
         self.drawedges = drawedges
-        self.filled = filled
+        self._filled = filled
         self.extendfrac = extendfrac
         self.extendrect = extendrect
+        self._extend_patches = []
         self.solids = None
-        self.lines = list()
-        self.outline = None
-        self.patch = None
-        self.dividers = None
+        self.solids_patches = []
+        self.lines = []
+
+        for spine in self.ax.spines.values():
+            spine.set_visible(False)
+        self.outline = self.ax.spines['outline'] = _ColorbarSpine(self.ax)
+
+        self.dividers = collections.LineCollection(
+            [],
+            colors=[mpl.rcParams['axes.edgecolor']],
+            linewidths=[0.5 * mpl.rcParams['axes.linewidth']],
+            clip_on=False)
+        self.ax.add_collection(self.dividers)
+
+        self._locator = None
+        self._minorlocator = None
+        self._formatter = None
+        self._minorformatter = None
 
         if ticklocation == 'auto':
-            ticklocation = 'bottom' if orientation == 'horizontal' else 'right'
+            ticklocation = _get_ticklocation_from_orientation(
+                orientation) if location is None else location
         self.ticklocation = ticklocation
 
         self.set_label(label)
-        if cbook.iterable(ticks):
-            self.locator = ticker.FixedLocator(ticks, nbins=len(ticks))
+        self._reset_locator_formatter_scale()
+
+        if np.iterable(ticks):
+            self._locator = ticker.FixedLocator(ticks, nbins=len(ticks))
         else:
-            self.locator = ticks    # Handle default in _ticker()
-        if format is None:
-            if isinstance(self.norm, colors.LogNorm):
-                self.formatter = ticker.LogFormatterMathtext()
-            else:
-                self.formatter = ticker.ScalarFormatter()
-        elif cbook.is_string_like(format):
-            self.formatter = ticker.FormatStrFormatter(format)
+            self._locator = ticks
+
+        if isinstance(format, str):
+            # Check format between FormatStrFormatter and StrMethodFormatter
+            try:
+                self._formatter = ticker.FormatStrFormatter(format)
+                _ = self._formatter(0)
+            except (TypeError, ValueError):
+                self._formatter = ticker.StrMethodFormatter(format)
         else:
-            self.formatter = format  # Assume it is a Formatter
-        # The rest is in a method so we can recalculate when clim changes.
-        self.config_axis()
-        self.draw_all()
+            self._formatter = format  # Assume it is a Formatter or None
+        self._draw_all()
+
+        if isinstance(mappable, contour.ContourSet) and not mappable.filled:
+            self.add_lines(mappable)
+
+        # Link the Axes and Colorbar for interactive use
+        self.ax._colorbar = self
+        # Don't navigate on any of these types of mappables
+        if (isinstance(self.norm, (colors.BoundaryNorm, colors.NoNorm)) or
+                isinstance(self.mappable, contour.ContourSet)):
+            self.ax.set_navigate(False)
+
+        # These are the functions that set up interactivity on this colorbar
+        self._interactive_funcs = ["_get_view", "_set_view",
+                                   "_set_view_from_bbox", "drag_pan"]
+        for x in self._interactive_funcs:
+            setattr(self.ax, x, getattr(self, x))
+        # Set the cla function to the cbar's method to override it
+        self.ax.cla = self._cbar_cla
+        # Callbacks for the extend calculations to handle inverting the axis
+        self._extend_cid1 = self.ax.callbacks.connect(
+            "xlim_changed", self._do_extends)
+        self._extend_cid2 = self.ax.callbacks.connect(
+            "ylim_changed", self._do_extends)
+
+    @property
+    def long_axis(self):
+        """Axis that has decorations (ticks, etc) on it."""
+        if self.orientation == 'vertical':
+            return self.ax.yaxis
+        return self.ax.xaxis
+
+    @property
+    def locator(self):
+        """Major tick `.Locator` for the colorbar."""
+        return self.long_axis.get_major_locator()
+
+    @locator.setter
+    def locator(self, loc):
+        self.long_axis.set_major_locator(loc)
+        self._locator = loc
+
+    @property
+    def minorlocator(self):
+        """Minor tick `.Locator` for the colorbar."""
+        return self.long_axis.get_minor_locator()
+
+    @minorlocator.setter
+    def minorlocator(self, loc):
+        self.long_axis.set_minor_locator(loc)
+        self._minorlocator = loc
+
+    @property
+    def formatter(self):
+        """Major tick label `.Formatter` for the colorbar."""
+        return self.long_axis.get_major_formatter()
+
+    @formatter.setter
+    def formatter(self, fmt):
+        self.long_axis.set_major_formatter(fmt)
+        self._formatter = fmt
+
+    @property
+    def minorformatter(self):
+        """Minor tick `.Formatter` for the colorbar."""
+        return self.long_axis.get_minor_formatter()
+
+    @minorformatter.setter
+    def minorformatter(self, fmt):
+        self.long_axis.set_minor_formatter(fmt)
+        self._minorformatter = fmt
+
+    def _cbar_cla(self):
+        """Function to clear the interactive colorbar state."""
+        for x in self._interactive_funcs:
+            delattr(self.ax, x)
+        # We now restore the old cla() back and can call it directly
+        del self.ax.cla
+        self.ax.cla()
 
-    def _extend_lower(self):
-        """Returns whether the lower limit is open ended."""
-        return self.extend in ('both', 'min')
+    def update_normal(self, mappable=None):
+        """
+        Update solid patches, lines, etc.
 
-    def _extend_upper(self):
-        """Returns whether the uper limit is open ended."""
-        return self.extend in ('both', 'max')
+        This is meant to be called when the norm of the image or contour plot
+        to which this colorbar belongs changes.
 
-    def _patch_ax(self):
-        # bind some methods to the axes to warn users
-        # against using those methods.
-        self.ax.set_xticks = _set_ticks_on_axis_warn
-        self.ax.set_yticks = _set_ticks_on_axis_warn
+        If the norm on the mappable is different than before, this resets the
+        locator and formatter for the axis, so if these have been customized,
+        they will need to be customized again.  However, if the norm only
+        changes values of *vmin*, *vmax* or *cmap* then the old formatter
+        and locator will be preserved.
+        """
+        if mappable:
+            # The mappable keyword argument exists because
+            # ScalarMappable.changed() emits self.callbacks.process('changed', self)
+            # in contrast, ColorizingArtist (and Colorizer) does not use this keyword.
+            # [ColorizingArtist.changed() emits self.callbacks.process('changed')]
+            # Also, there is no test where self.mappable == mappable is not True
+            # and possibly no use case.
+            # Therefore, the mappable keyword can be deprecated if cm.ScalarMappable
+            # is removed.
+            self.mappable = mappable
+        _log.debug('colorbar update normal %r %r', self.mappable.norm, self.norm)
+        self.set_alpha(self.mappable.get_alpha())
+        self.cmap = self.mappable.cmap
+        if self.mappable.norm != self.norm:
+            self.norm = self.mappable.norm
+            self._reset_locator_formatter_scale()
+
+        self._draw_all()
+        if isinstance(self.mappable, contour.ContourSet):
+            CS = self.mappable
+            if not CS.filled:
+                self.add_lines(CS)
+        self.stale = True
 
-    def draw_all(self):
-        '''
+    def _draw_all(self):
+        """
         Calculate any free parameters based on the current cmap and norm,
         and do all the drawing.
-        '''
+        """
+        if self.orientation == 'vertical':
+            if mpl.rcParams['ytick.minor.visible']:
+                self.minorticks_on()
+        else:
+            if mpl.rcParams['xtick.minor.visible']:
+                self.minorticks_on()
+        self.long_axis.set(label_position=self.ticklocation,
+                              ticks_position=self.ticklocation)
+        self._short_axis().set_ticks([])
+        self._short_axis().set_ticks([], minor=True)
+
+        # Set self._boundaries and self._values, including extensions.
+        # self._boundaries are the edges of each square of color, and
+        # self._values are the value to map into the norm to get the
+        # color:
         self._process_values()
-        self._find_range()
+        # Set self.vmin and self.vmax to first and last boundary, excluding
+        # extensions:
+        self.vmin, self.vmax = self._boundaries[self._inside][[0, -1]]
+        # Compute the X/Y mesh.
         X, Y = self._mesh()
-        C = self._values[:, np.newaxis]
-        self._config_axes(X, Y)
-        if self.filled:
-            self._add_solids(X, Y, C)
-
-    def config_axis(self):
-        ax = self.ax
+        # draw the extend triangles, and shrink the inner Axes to accommodate.
+        # also adds the outline path to self.outline spine:
+        self._do_extends()
+        lower, upper = self.vmin, self.vmax
+        if self.long_axis.get_inverted():
+            # If the axis is inverted, we need to swap the vmin/vmax
+            lower, upper = upper, lower
         if self.orientation == 'vertical':
-            ax.xaxis.set_ticks([])
-            # location is either one of 'bottom' or 'top'
-            ax.yaxis.set_label_position(self.ticklocation)
-            ax.yaxis.set_ticks_position(self.ticklocation)
+            self.ax.set_xlim(0, 1)
+            self.ax.set_ylim(lower, upper)
         else:
-            ax.yaxis.set_ticks([])
-            # location is either one of 'left' or 'right'
-            ax.xaxis.set_label_position(self.ticklocation)
-            ax.xaxis.set_ticks_position(self.ticklocation)
+            self.ax.set_ylim(0, 1)
+            self.ax.set_xlim(lower, upper)
 
-        self._set_label()
+        # set up the tick locators and formatters.  A bit complicated because
+        # boundary norms + uniform spacing requires a manual locator.
+        self.update_ticks()
 
-    def update_ticks(self):
-        """
-        Force the update of the ticks and ticklabels. This must be
-        called whenever the tick locator and/or tick formatter changes.
-        """
-        ax = self.ax
-        ticks, ticklabels, offset_string = self._ticker()
-        if self.orientation == 'vertical':
-            ax.yaxis.set_ticks(ticks)
-            ax.set_yticklabels(ticklabels)
-            ax.yaxis.get_major_formatter().set_offset_string(offset_string)
+        if self._filled:
+            ind = np.arange(len(self._values))
+            if self._extend_lower():
+                ind = ind[1:]
+            if self._extend_upper():
+                ind = ind[:-1]
+            self._add_solids(X, Y, self._values[ind, np.newaxis])
 
+    def _add_solids(self, X, Y, C):
+        """Draw the colors; optionally add separators."""
+        # Cleanup previously set artists.
+        if self.solids is not None:
+            self.solids.remove()
+        for solid in self.solids_patches:
+            solid.remove()
+        # Add new artist(s), based on mappable type.  Use individual patches if
+        # hatching is needed, pcolormesh otherwise.
+        mappable = getattr(self, 'mappable', None)
+        if (isinstance(mappable, contour.ContourSet)
+                and any(hatch is not None for hatch in mappable.hatches)):
+            self._add_solids_patches(X, Y, C, mappable)
         else:
-            ax.xaxis.set_ticks(ticks)
-            ax.set_xticklabels(ticklabels)
-            ax.xaxis.get_major_formatter().set_offset_string(offset_string)
-
-    def set_ticks(self, ticks, update_ticks=True):
-        """
-        set tick locations. Tick locations are updated immediately unless
-        update_ticks is *False*. To manually update the ticks, call
-        *update_ticks* method explicitly.
-        """
-        if cbook.iterable(ticks):
-            self.locator = ticker.FixedLocator(ticks, nbins=len(ticks))
+            self.solids = self.ax.pcolormesh(
+                X, Y, C, cmap=self.cmap, norm=self.norm, alpha=self.alpha,
+                edgecolors='none', shading='flat')
+            if not self.drawedges:
+                if len(self._y) >= self.n_rasterize:
+                    self.solids.set_rasterized(True)
+        self._update_dividers()
+
+    def _update_dividers(self):
+        if not self.drawedges:
+            self.dividers.set_segments([])
+            return
+        # Place all *internal* dividers.
+        if self.orientation == 'vertical':
+            lims = self.ax.get_ylim()
+            bounds = (lims[0] < self._y) & (self._y < lims[1])
         else:
-            self.locator = ticks
-
-        if update_ticks:
-            self.update_ticks()
+            lims = self.ax.get_xlim()
+            bounds = (lims[0] < self._y) & (self._y < lims[1])
+        y = self._y[bounds]
+        # And then add outer dividers if extensions are on.
+        if self._extend_lower():
+            y = np.insert(y, 0, lims[0])
+        if self._extend_upper():
+            y = np.append(y, lims[1])
+        X, Y = np.meshgrid([0, 1], y)
+        if self.orientation == 'vertical':
+            segments = np.dstack([X, Y])
+        else:
+            segments = np.dstack([Y, X])
+        self.dividers.set_segments(segments)
+
+    def _add_solids_patches(self, X, Y, C, mappable):
+        hatches = mappable.hatches * (len(C) + 1)  # Have enough hatches.
+        if self._extend_lower():
+            # remove first hatch that goes into the extend patch
+            hatches = hatches[1:]
+        patches = []
+        for i in range(len(X) - 1):
+            xy = np.array([[X[i, 0], Y[i, 1]],
+                           [X[i, 1], Y[i, 0]],
+                           [X[i + 1, 1], Y[i + 1, 0]],
+                           [X[i + 1, 0], Y[i + 1, 1]]])
+            patch = mpatches.PathPatch(mpath.Path(xy),
+                                       facecolor=self.cmap(self.norm(C[i][0])),
+                                       hatch=hatches[i], linewidth=0,
+                                       antialiased=False, alpha=self.alpha)
+            self.ax.add_patch(patch)
+            patches.append(patch)
+        self.solids_patches = patches
 
-    def set_ticklabels(self, ticklabels, update_ticks=True):
+    def _do_extends(self, ax=None):
         """
-        set tick labels. Tick labels are updated immediately unless
-        update_ticks is *False*. To manually update the ticks, call
-        *update_ticks* method explicitly.
+        Add the extend tri/rectangles on the outside of the Axes.
+
+        ax is unused, but required due to the callbacks on xlim/ylim changed
         """
-        if isinstance(self.locator, ticker.FixedLocator):
-            self.formatter = ticker.FixedFormatter(ticklabels)
-            if update_ticks:
-                self.update_ticks()
+        # Clean up any previous extend patches
+        for patch in self._extend_patches:
+            patch.remove()
+        self._extend_patches = []
+        # extend lengths are fraction of the *inner* part of colorbar,
+        # not the total colorbar:
+        _, extendlen = self._proportional_y()
+        bot = 0 - (extendlen[0] if self._extend_lower() else 0)
+        top = 1 + (extendlen[1] if self._extend_upper() else 0)
+
+        # xyout is the outline of the colorbar including the extend patches:
+        if not self.extendrect:
+            # triangle:
+            xyout = np.array([[0, 0], [0.5, bot], [1, 0],
+                              [1, 1], [0.5, top], [0, 1], [0, 0]])
         else:
-            warnings.warn("set_ticks() must have been called.")
-
-    def _config_axes(self, X, Y):
-        '''
-        Make an axes patch and outline.
-        '''
-        ax = self.ax
-        ax.set_frame_on(False)
-        ax.set_navigate(False)
-        xy = self._outline(X, Y)
-        ax.update_datalim(xy)
-        ax.set_xlim(*ax.dataLim.intervalx)
-        ax.set_ylim(*ax.dataLim.intervaly)
-        if self.outline is not None:
-            self.outline.remove()
-        self.outline = mpatches.Polygon(
-            xy, edgecolor=mpl.rcParams['axes.edgecolor'],
-            facecolor='none',
-            linewidth=mpl.rcParams['axes.linewidth'],
-            closed=True,
-            zorder=2)
-        ax.add_artist(self.outline)
-        self.outline.set_clip_box(None)
-        self.outline.set_clip_path(None)
-        c = mpl.rcParams['axes.facecolor']
-        if self.patch is not None:
-            self.patch.remove()
-        self.patch = mpatches.Polygon(xy, edgecolor=c,
-                                      facecolor=c,
-                                      linewidth=0.01,
-                                      zorder=-1)
-        ax.add_artist(self.patch)
-
-        self.update_ticks()
+            # rectangle:
+            xyout = np.array([[0, 0], [0, bot], [1, bot], [1, 0],
+                              [1, 1], [1, top], [0, top], [0, 1],
+                              [0, 0]])
 
-    def _set_label(self):
-        if self.orientation == 'vertical':
-            self.ax.set_ylabel(self._label, **self._labelkw)
-        else:
-            self.ax.set_xlabel(self._label, **self._labelkw)
-
-    def set_label(self, label, **kw):
-        '''
-        Label the long axis of the colorbar
-        '''
-        self._label = '%s' % (label, )
-        self._labelkw = kw
-        self._set_label()
-
-    def _outline(self, X, Y):
-        '''
-        Return *x*, *y* arrays of colorbar bounding polygon,
-        taking orientation into account.
-        '''
-        N = X.shape[0]
-        ii = [0, 1, N - 2, N - 1, 2 * N - 1, 2 * N - 2, N + 1, N, 0]
-        x = np.take(np.ravel(np.transpose(X)), ii)
-        y = np.take(np.ravel(np.transpose(Y)), ii)
-        x = x.reshape((len(x), 1))
-        y = y.reshape((len(y), 1))
         if self.orientation == 'horizontal':
-            return np.hstack((y, x))
-        return np.hstack((x, y))
-
-    def _edges(self, X, Y):
-        '''
-        Return the separator line segments; helper for _add_solids.
-        '''
-        N = X.shape[0]
-        # Using the non-array form of these line segments is much
-        # simpler than making them into arrays.
-        if self.orientation == 'vertical':
-            return [list(zip(X[i], Y[i])) for i in xrange(1, N - 1)]
-        else:
-            return [list(zip(Y[i], X[i])) for i in xrange(1, N - 1)]
+            xyout = xyout[:, ::-1]
 
-    def _add_solids(self, X, Y, C):
-        '''
-        Draw the colors using :meth:`~matplotlib.axes.Axes.pcolormesh`;
-        optionally add separators.
-        '''
-        if self.orientation == 'vertical':
-            args = (X, Y, C)
+        # xyout is the path for the spine:
+        self.outline.set_xy(xyout)
+        if not self._filled:
+            return
+
+        # Make extend triangles or rectangles filled patches.  These are
+        # defined in the outer parent axes' coordinates:
+        mappable = getattr(self, 'mappable', None)
+        if (isinstance(mappable, contour.ContourSet)
+                and any(hatch is not None for hatch in mappable.hatches)):
+            hatches = mappable.hatches * (len(self._y) + 1)
         else:
-            args = (np.transpose(Y), np.transpose(X), np.transpose(C))
-        kw = dict(cmap=self.cmap,
-                  norm=self.norm,
-                  alpha=self.alpha,
-                  edgecolors='None')
-        # Save, set, and restore hold state to keep pcolor from
-        # clearing the axes. Ordinarily this will not be needed,
-        # since the axes object should already have hold set.
-        _hold = self.ax.ishold()
-        self.ax.hold(True)
-        col = self.ax.pcolormesh(*args, **kw)
-        self.ax.hold(_hold)
-        #self.add_observer(col) # We should observe, not be observed...
+            hatches = [None] * (len(self._y) + 1)
 
-        if self.solids is not None:
-            self.solids.remove()
-        self.solids = col
-        if self.dividers is not None:
-            self.dividers.remove()
-            self.dividers = None
-        if self.drawedges:
-            linewidths = (0.5 * mpl.rcParams['axes.linewidth'],)
-            self.dividers = collections.LineCollection(self._edges(X, Y),
-                                    colors=(mpl.rcParams['axes.edgecolor'],),
-                                    linewidths=linewidths)
-            self.ax.add_collection(self.dividers)
-
-    def add_lines(self, levels, colors, linewidths, erase=True):
-        '''
+        if self._extend_lower():
+            if not self.extendrect:
+                # triangle
+                xy = np.array([[0, 0], [0.5, bot], [1, 0]])
+            else:
+                # rectangle
+                xy = np.array([[0, 0], [0, bot], [1., bot], [1, 0]])
+            if self.orientation == 'horizontal':
+                xy = xy[:, ::-1]
+            # add the patch
+            val = -1 if self.long_axis.get_inverted() else 0
+            color = self.cmap(self.norm(self._values[val]))
+            patch = mpatches.PathPatch(
+                mpath.Path(xy), facecolor=color, alpha=self.alpha,
+                linewidth=0, antialiased=False,
+                transform=self.ax.transAxes,
+                hatch=hatches[0], clip_on=False,
+                # Place it right behind the standard patches, which is
+                # needed if we updated the extends
+                zorder=np.nextafter(self.ax.patch.zorder, -np.inf))
+            self.ax.add_patch(patch)
+            self._extend_patches.append(patch)
+            # remove first hatch that goes into the extend patch
+            hatches = hatches[1:]
+        if self._extend_upper():
+            if not self.extendrect:
+                # triangle
+                xy = np.array([[0, 1], [0.5, top], [1, 1]])
+            else:
+                # rectangle
+                xy = np.array([[0, 1], [0, top], [1, top], [1, 1]])
+            if self.orientation == 'horizontal':
+                xy = xy[:, ::-1]
+            # add the patch
+            val = 0 if self.long_axis.get_inverted() else -1
+            color = self.cmap(self.norm(self._values[val]))
+            hatch_idx = len(self._y) - 1
+            patch = mpatches.PathPatch(
+                mpath.Path(xy), facecolor=color, alpha=self.alpha,
+                linewidth=0, antialiased=False,
+                transform=self.ax.transAxes, hatch=hatches[hatch_idx],
+                clip_on=False,
+                # Place it right behind the standard patches, which is
+                # needed if we updated the extends
+                zorder=np.nextafter(self.ax.patch.zorder, -np.inf))
+            self.ax.add_patch(patch)
+            self._extend_patches.append(patch)
+
+        self._update_dividers()
+
+    def add_lines(self, *args, **kwargs):
+        """
         Draw lines on the colorbar.
 
-        *colors* and *linewidths* must be scalars or
-        sequences the same length as *levels*.
+        The lines are appended to the list :attr:`!lines`.
+
+        Parameters
+        ----------
+        levels : array-like
+            The positions of the lines.
+        colors : :mpltype:`color` or list of :mpltype:`color`
+            Either a single color applying to all lines or one color value for
+            each line.
+        linewidths : float or array-like
+            Either a single linewidth applying to all lines or one linewidth
+            for each line.
+        erase : bool, default: True
+            Whether to remove any previously added lines.
+
+        Notes
+        -----
+        Alternatively, this method can also be called with the signature
+        ``colorbar.add_lines(contour_set, erase=True)``, in which case
+        *levels*, *colors*, and *linewidths* are taken from *contour_set*.
+        """
+        params = _api.select_matching_signature(
+            [lambda self, CS, erase=True: locals(),
+             lambda self, levels, colors, linewidths, erase=True: locals()],
+            self, *args, **kwargs)
+        if "CS" in params:
+            self, cs, erase = params.values()
+            if not isinstance(cs, contour.ContourSet) or cs.filled:
+                raise ValueError("If a single artist is passed to add_lines, "
+                                 "it must be a ContourSet of lines")
+            # TODO: Make colorbar lines auto-follow changes in contour lines.
+            return self.add_lines(
+                cs.levels,
+                cs.to_rgba(cs.cvalues, cs.alpha),
+                cs.get_linewidths(),
+                erase=erase)
+        else:
+            self, levels, colors, linewidths, erase = params.values()
 
-        Set *erase* to False to add lines without first
-        removing any previously added lines.
-        '''
         y = self._locate(levels)
-        igood = (y < 1.001) & (y > -0.001)
+        rtol = (self._y[-1] - self._y[0]) * 1e-10
+        igood = (y < self._y[-1] + rtol) & (y > self._y[0] - rtol)
         y = y[igood]
-        if cbook.iterable(colors):
+        if np.iterable(colors):
             colors = np.asarray(colors)[igood]
-        if cbook.iterable(linewidths):
+        if np.iterable(linewidths):
             linewidths = np.asarray(linewidths)[igood]
-        N = len(y)
-        x = np.array([0.0, 1.0])
-        X, Y = np.meshgrid(x, y)
+        X, Y = np.meshgrid([0, 1], y)
         if self.orientation == 'vertical':
-            xy = [list(zip(X[i], Y[i])) for i in xrange(N)]
+            xy = np.stack([X, Y], axis=-1)
         else:
-            xy = [list(zip(Y[i], X[i])) for i in xrange(N)]
-        col = collections.LineCollection(xy, linewidths=linewidths)
+            xy = np.stack([Y, X], axis=-1)
+        col = collections.LineCollection(xy, linewidths=linewidths,
+                                         colors=colors)
 
         if erase and self.lines:
             for lc in self.lines:
                 lc.remove()
             self.lines = []
         self.lines.append(col)
-        col.set_color(colors)
+
+        # make a clip path that is just a linewidth bigger than the Axes...
+        fac = np.max(linewidths) / 72
+        xy = np.array([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
+        inches = self.ax.get_figure().dpi_scale_trans
+        # do in inches:
+        xy = inches.inverted().transform(self.ax.transAxes.transform(xy))
+        xy[[0, 1, 4], 1] -= fac
+        xy[[2, 3], 1] += fac
+        # back to axes units...
+        xy = self.ax.transAxes.inverted().transform(inches.transform(xy))
+        col.set_clip_path(mpath.Path(xy, closed=True),
+                          self.ax.transAxes)
         self.ax.add_collection(col)
+        self.stale = True
 
-    def _ticker(self):
-        '''
-        Return the sequence of ticks (colorbar data locations),
-        ticklabels (strings), and the corresponding offset string.
-        '''
-        locator = self.locator
-        formatter = self.formatter
-        if locator is None:
-            if self.boundaries is None:
-                if isinstance(self.norm, colors.NoNorm):
-                    nv = len(self._values)
-                    base = 1 + int(nv / 10)
-                    locator = ticker.IndexLocator(base=base, offset=0)
-                elif isinstance(self.norm, colors.BoundaryNorm):
-                    b = self.norm.boundaries
-                    locator = ticker.FixedLocator(b, nbins=10)
-                elif isinstance(self.norm, colors.LogNorm):
-                    locator = ticker.LogLocator()
-                else:
-                    locator = ticker.MaxNLocator()
-            else:
-                b = self._boundaries[self._inside]
+    def update_ticks(self):
+        """
+        Set up the ticks and ticklabels. This should not be needed by users.
+        """
+        # Get the locator and formatter; defaults to self._locator if not None.
+        self._get_ticker_locator_formatter()
+        self.long_axis.set_major_locator(self._locator)
+        self.long_axis.set_minor_locator(self._minorlocator)
+        self.long_axis.set_major_formatter(self._formatter)
+
+    def _get_ticker_locator_formatter(self):
+        """
+        Return the ``locator`` and ``formatter`` of the colorbar.
+
+        If they have not been defined (i.e. are *None*), the formatter and
+        locator are retrieved from the axis, or from the value of the
+        boundaries for a boundary norm.
+
+        Called by update_ticks...
+        """
+        locator = self._locator
+        formatter = self._formatter
+        minorlocator = self._minorlocator
+        if isinstance(self.norm, colors.BoundaryNorm):
+            b = self.norm.boundaries
+            if locator is None:
                 locator = ticker.FixedLocator(b, nbins=10)
-        if isinstance(self.norm, colors.NoNorm):
-            intv = self._values[0], self._values[-1]
+            if minorlocator is None:
+                minorlocator = ticker.FixedLocator(b)
+        elif isinstance(self.norm, colors.NoNorm):
+            if locator is None:
+                # put ticks on integers between the boundaries of NoNorm
+                nv = len(self._values)
+                base = 1 + int(nv / 10)
+                locator = ticker.IndexLocator(base=base, offset=.5)
+        elif self.boundaries is not None:
+            b = self._boundaries[self._inside]
+            if locator is None:
+                locator = ticker.FixedLocator(b, nbins=10)
+        else:  # most cases:
+            if locator is None:
+                # we haven't set the locator explicitly, so use the default
+                # for this axis:
+                locator = self.long_axis.get_major_locator()
+            if minorlocator is None:
+                minorlocator = self.long_axis.get_minor_locator()
+
+        if minorlocator is None:
+            minorlocator = ticker.NullLocator()
+
+        if formatter is None:
+            formatter = self.long_axis.get_major_formatter()
+
+        self._locator = locator
+        self._formatter = formatter
+        self._minorlocator = minorlocator
+        _log.debug('locator: %r', locator)
+
+    def set_ticks(self, ticks, *, labels=None, minor=False, **kwargs):
+        """
+        Set tick locations.
+
+        Parameters
+        ----------
+        ticks : 1D array-like
+            List of tick locations.
+        labels : list of str, optional
+            List of tick labels. If not set, the labels show the data value.
+        minor : bool, default: False
+            If ``False``, set the major ticks; if ``True``, the minor ticks.
+        **kwargs
+            `.Text` properties for the labels. These take effect only if you
+            pass *labels*. In other cases, please use `~.Axes.tick_params`.
+        """
+        if np.iterable(ticks):
+            self.long_axis.set_ticks(ticks, labels=labels, minor=minor,
+                                        **kwargs)
+            self._locator = self.long_axis.get_major_locator()
         else:
-            intv = self.vmin, self.vmax
-        locator.create_dummy_axis(minpos=intv[0])
-        formatter.create_dummy_axis(minpos=intv[0])
-        locator.set_view_interval(*intv)
-        locator.set_data_interval(*intv)
-        formatter.set_view_interval(*intv)
-        formatter.set_data_interval(*intv)
-
-        b = np.array(locator())
-        ticks = self._locate(b)
-        inrange = (ticks > -0.001) & (ticks < 1.001)
-        ticks = ticks[inrange]
-        b = b[inrange]
-        formatter.set_locs(b)
-        ticklabels = [formatter(t, i) for i, t in enumerate(b)]
-        offset_string = formatter.get_offset()
-        return ticks, ticklabels, offset_string
-
-    def _process_values(self, b=None):
-        '''
-        Set the :attr:`_boundaries` and :attr:`_values` attributes
-        based on the input boundaries and values.  Input boundaries
-        can be *self.boundaries* or the argument *b*.
-        '''
-        if b is None:
-            b = self.boundaries
-        if b is not None:
-            self._boundaries = np.asarray(b, dtype=float)
-            if self.values is None:
-                self._values = 0.5 * (self._boundaries[:-1]
-                                      + self._boundaries[1:])
-                if isinstance(self.norm, colors.NoNorm):
-                    self._values = (self._values + 0.00001).astype(np.int16)
-                return
-            self._values = np.array(self.values)
+            self._locator = ticks
+            self.long_axis.set_major_locator(self._locator)
+        self.stale = True
+
+    def get_ticks(self, minor=False):
+        """
+        Return the ticks as a list of locations.
+
+        Parameters
+        ----------
+        minor : boolean, default: False
+            if True return the minor ticks.
+        """
+        if minor:
+            return self.long_axis.get_minorticklocs()
+        else:
+            return self.long_axis.get_majorticklocs()
+
+    def set_ticklabels(self, ticklabels, *, minor=False, **kwargs):
+        """
+        [*Discouraged*] Set tick labels.
+
+        .. admonition:: Discouraged
+
+            The use of this method is discouraged, because of the dependency
+            on tick positions. In most cases, you'll want to use
+            ``set_ticks(positions, labels=labels)`` instead.
+
+            If you are using this method, you should always fix the tick
+            positions before, e.g. by using `.Colorbar.set_ticks` or by
+            explicitly setting a `~.ticker.FixedLocator` on the long axis
+            of the colorbar. Otherwise, ticks are free to move and the
+            labels may end up in unexpected positions.
+
+        Parameters
+        ----------
+        ticklabels : sequence of str or of `.Text`
+            Texts for labeling each tick location in the sequence set by
+            `.Colorbar.set_ticks`; the number of labels must match the number
+            of locations.
+
+        update_ticks : bool, default: True
+            This keyword argument is ignored and will be removed.
+            Deprecated
+
+        minor : bool
+            If True, set minor ticks instead of major ticks.
+
+        **kwargs
+            `.Text` properties for the labels.
+        """
+        self.long_axis.set_ticklabels(ticklabels, minor=minor, **kwargs)
+
+    def minorticks_on(self):
+        """
+        Turn on colorbar minor ticks.
+        """
+        self.ax.minorticks_on()
+        self._short_axis().set_minor_locator(ticker.NullLocator())
+
+    def minorticks_off(self):
+        """Turn the minor ticks of the colorbar off."""
+        self._minorlocator = ticker.NullLocator()
+        self.long_axis.set_minor_locator(self._minorlocator)
+
+    def set_label(self, label, *, loc=None, **kwargs):
+        """
+        Add a label to the long axis of the colorbar.
+
+        Parameters
+        ----------
+        label : str
+            The label text.
+        loc : str, optional
+            The location of the label.
+
+            - For horizontal orientation one of {'left', 'center', 'right'}
+            - For vertical orientation one of {'bottom', 'center', 'top'}
+
+            Defaults to :rc:`xaxis.labellocation` or :rc:`yaxis.labellocation`
+            depending on the orientation.
+        **kwargs
+            Keyword arguments are passed to `~.Axes.set_xlabel` /
+            `~.Axes.set_ylabel`.
+            Supported keywords are *labelpad* and `.Text` properties.
+        """
+        if self.orientation == "vertical":
+            self.ax.set_ylabel(label, loc=loc, **kwargs)
+        else:
+            self.ax.set_xlabel(label, loc=loc, **kwargs)
+        self.stale = True
+
+    def set_alpha(self, alpha):
+        """
+        Set the transparency between 0 (transparent) and 1 (opaque).
+
+        If an array is provided, *alpha* will be set to None to use the
+        transparency values associated with the colormap.
+        """
+        self.alpha = None if isinstance(alpha, np.ndarray) else alpha
+
+    def _set_scale(self, scale, **kwargs):
+        """
+        Set the colorbar long axis scale.
+
+        Parameters
+        ----------
+        scale : {"linear", "log", "symlog", "logit", ...} or `.ScaleBase`
+            The axis scale type to apply.
+
+        **kwargs
+            Different keyword arguments are accepted, depending on the scale.
+            See the respective class keyword arguments:
+
+            - `matplotlib.scale.LinearScale`
+            - `matplotlib.scale.LogScale`
+            - `matplotlib.scale.SymmetricalLogScale`
+            - `matplotlib.scale.LogitScale`
+            - `matplotlib.scale.FuncScale`
+            - `matplotlib.scale.AsinhScale`
+
+        Notes
+        -----
+        By default, Matplotlib supports the above-mentioned scales.
+        Additionally, custom scales may be registered using
+        `matplotlib.scale.register_scale`. These scales can then also
+        be used here.
+        """
+        self.long_axis._set_axes_scale(scale, **kwargs)
+
+    def remove(self):
+        """
+        Remove this colorbar from the figure.
+
+        If the colorbar was created with ``use_gridspec=True`` the previous
+        gridspec is restored.
+        """
+        if hasattr(self.ax, '_colorbar_info'):
+            parents = self.ax._colorbar_info['parents']
+            for a in parents:
+                if self.ax in a._colorbars:
+                    a._colorbars.remove(self.ax)
+
+        self.ax.remove()
+
+        self.mappable.callbacks.disconnect(self.mappable.colorbar_cid)
+        self.mappable.colorbar = None
+        self.mappable.colorbar_cid = None
+        # Remove the extension callbacks
+        self.ax.callbacks.disconnect(self._extend_cid1)
+        self.ax.callbacks.disconnect(self._extend_cid2)
+
+        try:
+            ax = self.mappable.axes
+        except AttributeError:
             return
+        try:
+            subplotspec = self.ax.get_subplotspec().get_gridspec()._subplot_spec
+        except AttributeError:  # use_gridspec was False
+            pos = ax.get_position(original=True)
+            ax._set_position(pos)
+        else:  # use_gridspec was True
+            ax.set_subplotspec(subplotspec)
+
+    def _process_values(self):
+        """
+        Set `_boundaries` and `_values` based on the self.boundaries and
+        self.values if not None, or based on the size of the colormap and
+        the vmin/vmax of the norm.
+        """
         if self.values is not None:
+            # set self._boundaries from the values...
             self._values = np.array(self.values)
             if self.boundaries is None:
-                b = np.zeros(len(self.values) + 1, 'd')
-                b[1:-1] = 0.5 * (self._values[:-1] - self._values[1:])
+                # bracket values by 1/2 dv:
+                b = np.zeros(len(self.values) + 1)
+                b[1:-1] = 0.5 * (self._values[:-1] + self._values[1:])
                 b[0] = 2.0 * b[1] - b[2]
                 b[-1] = 2.0 * b[-2] - b[-3]
                 self._boundaries = b
                 return
             self._boundaries = np.array(self.boundaries)
             return
-        # Neither boundaries nor values are specified;
-        # make reasonable ones based on cmap and norm.
-        if isinstance(self.norm, colors.NoNorm):
-            b = self._uniform_y(self.cmap.N + 1) * self.cmap.N - 0.5
-            v = np.zeros((len(b) - 1,), dtype=np.int16)
-            v[self._inside] = np.arange(self.cmap.N, dtype=np.int16)
-            if self._extend_lower():
-                v[0] = -1
-            if self._extend_upper():
-                v[-1] = self.cmap.N
-            self._boundaries = b
-            self._values = v
-            return
-        elif isinstance(self.norm, colors.BoundaryNorm):
-            b = list(self.norm.boundaries)
-            if self._extend_lower():
-                b = [b[0] - 1] + b
-            if self._extend_upper():
-                b = b + [b[-1] + 1]
-            b = np.array(b)
-            v = np.zeros((len(b) - 1,), dtype=float)
-            bi = self.norm.boundaries
-            v[self._inside] = 0.5 * (bi[:-1] + bi[1:])
-            if self._extend_lower():
-                v[0] = b[0] - 1
-            if self._extend_upper():
-                v[-1] = b[-1] + 1
-            self._boundaries = b
-            self._values = v
-            return
-        else:
-            if not self.norm.scaled():
-                self.norm.vmin = 0
-                self.norm.vmax = 1
-
-            self.norm.vmin, self.norm.vmax = mtrans.nonsingular(self.norm.vmin,
-                                                                self.norm.vmax,
-                                                                expander=0.1)
-
-            b = self.norm.inverse(self._uniform_y(self.cmap.N + 1))
-            if self._extend_lower():
-                b[0] = b[0] - 1
-            if self._extend_upper():
-                b[-1] = b[-1] + 1
-        self._process_values(b)
-
-    def _find_range(self):
-        '''
-        Set :attr:`vmin` and :attr:`vmax` attributes to the first and
-        last boundary excluding extended end boundaries.
-        '''
-        b = self._boundaries[self._inside]
-        self.vmin = b[0]
-        self.vmax = b[-1]
-
-    def _central_N(self):
-        '''number of boundaries **before** extension of ends'''
-        nb = len(self._boundaries)
-        if self.extend == 'both':
-            nb -= 2
-        elif self.extend in ('min', 'max'):
-            nb -= 1
-        return nb
-
-    def _extended_N(self):
-        '''
-        Based on the colormap and extend variable, return the
-        number of boundaries.
-        '''
-        N = self.cmap.N + 1
-        if self.extend == 'both':
-            N += 2
-        elif self.extend in ('min', 'max'):
-            N += 1
-        return N
-
-    def _get_extension_lengths(self, frac, automin, automax, default=0.05):
-        '''
-        Get the lengths of colorbar extensions.
-
-        A helper method for _uniform_y and _proportional_y.
-        '''
-        # Set the default value.
-        extendlength = np.array([default, default])
-        if isinstance(frac, six.string_types):
-            if frac.lower() == 'auto':
-                # Use the provided values when 'auto' is required.
-                extendlength[0] = automin
-                extendlength[1] = automax
-            else:
-                # Any other string is invalid.
-                raise ValueError('invalid value for extendfrac')
-        elif frac is not None:
-            try:
-                # Try to set min and max extension fractions directly.
-                extendlength[:] = frac
-                # If frac is a sequence contaning None then NaN may
-                # be encountered. This is an error.
-                if np.isnan(extendlength).any():
-                    raise ValueError()
-            except (TypeError, ValueError):
-                # Raise an error on encountering an invalid value for frac.
-                raise ValueError('invalid value for extendfrac')
-        return extendlength
 
-    def _uniform_y(self, N):
-        '''
-        Return colorbar data coordinates for *N* uniformly
-        spaced boundaries, plus ends if required.
-        '''
-        if self.extend == 'neither':
-            y = np.linspace(0, 1, N)
+        # otherwise values are set from the boundaries
+        if isinstance(self.norm, colors.BoundaryNorm):
+            b = self.norm.boundaries
+        elif isinstance(self.norm, colors.NoNorm):
+            # NoNorm has N blocks, so N+1 boundaries, centered on integers:
+            b = np.arange(self.cmap.N + 1) - .5
+        elif self.boundaries is not None:
+            b = self.boundaries
         else:
-            automin = automax = 1. / (N - 1.)
-            extendlength = self._get_extension_lengths(self.extendfrac,
-                                                       automin, automax,
-                                                       default=0.05)
-            if self.extend == 'both':
-                y = np.zeros(N + 2, 'd')
-                y[0] = 0. - extendlength[0]
-                y[-1] = 1. + extendlength[1]
-            elif self.extend == 'min':
-                y = np.zeros(N + 1, 'd')
-                y[0] = 0. - extendlength[0]
-            else:
-                y = np.zeros(N + 1, 'd')
-                y[-1] = 1. + extendlength[1]
-            y[self._inside] = np.linspace(0, 1, N)
-        return y
+            # otherwise make the boundaries from the size of the cmap:
+            N = self.cmap.N + 1
+            b, _ = self._uniform_y(N)
+        # add extra boundaries if needed:
+        if self._extend_lower():
+            b = np.hstack((b[0] - 1, b))
+        if self._extend_upper():
+            b = np.hstack((b, b[-1] + 1))
+
+        # transform from 0-1 to vmin-vmax:
+        if self.mappable.get_array() is not None:
+            self.mappable.autoscale_None()
+        if not self.norm.scaled():
+            # If we still aren't scaled after autoscaling, use 0, 1 as default
+            self.norm.vmin = 0
+            self.norm.vmax = 1
+        self.norm.vmin, self.norm.vmax = mtransforms.nonsingular(
+            self.norm.vmin, self.norm.vmax, expander=0.1)
+        if (not isinstance(self.norm, colors.BoundaryNorm) and
+                (self.boundaries is None)):
+            b = self.norm.inverse(b)
+
+        self._boundaries = np.asarray(b, dtype=float)
+        self._values = 0.5 * (self._boundaries[:-1] + self._boundaries[1:])
+        if isinstance(self.norm, colors.NoNorm):
+            self._values = (self._values + 0.00001).astype(np.int16)
 
-    def _proportional_y(self):
-        '''
-        Return colorbar data coordinates for the boundaries of
-        a proportional colorbar.
-        '''
-        if isinstance(self.norm, colors.BoundaryNorm):
-            y = (self._boundaries - self._boundaries[0])
-            y = y / (self._boundaries[-1] - self._boundaries[0])
+    def _mesh(self):
+        """
+        Return the coordinate arrays for the colorbar pcolormesh/patches.
+
+        These are scaled between vmin and vmax, and already handle colorbar
+        orientation.
+        """
+        y, _ = self._proportional_y()
+        # Use the vmin and vmax of the colorbar, which may not be the same
+        # as the norm. There are situations where the colormap has a
+        # narrower range than the colorbar and we want to accommodate the
+        # extra contours.
+        if (isinstance(self.norm, (colors.BoundaryNorm, colors.NoNorm))
+                or self.boundaries is not None):
+            # not using a norm.
+            y = y * (self.vmax - self.vmin) + self.vmin
         else:
-            y = self.norm(self._boundaries.copy())
-        if self.extend == 'min':
-            # Exclude leftmost interval of y.
-            clen = y[-1] - y[1]
-            automin = (y[2] - y[1]) / clen
-            automax = (y[-1] - y[-2]) / clen
-        elif self.extend == 'max':
-            # Exclude rightmost interval in y.
-            clen = y[-2] - y[0]
-            automin = (y[1] - y[0]) / clen
-            automax = (y[-2] - y[-3]) / clen
+            # Update the norm values in a context manager as it is only
+            # a temporary change and we don't want to propagate any signals
+            # attached to the norm (callbacks.blocked).
+            with (self.norm.callbacks.blocked(),
+                  cbook._setattr_cm(self.norm, vmin=self.vmin, vmax=self.vmax)):
+                y = self.norm.inverse(y)
+        self._y = y
+        X, Y = np.meshgrid([0., 1.], y)
+        if self.orientation == 'vertical':
+            return (X, Y)
         else:
-            # Exclude leftmost and rightmost intervals in y.
-            clen = y[-2] - y[1]
-            automin = (y[2] - y[1]) / clen
-            automax = (y[-2] - y[-3]) / clen
-        extendlength = self._get_extension_lengths(self.extendfrac,
-                                                   automin, automax,
-                                                   default=0.05)
-        if self.extend in ('both', 'min'):
-            y[0] = 0. - extendlength[0]
-        if self.extend in ('both', 'max'):
-            y[-1] = 1. + extendlength[1]
-        yi = y[self._inside]
-        norm = colors.Normalize(yi[0], yi[-1])
-        y[self._inside] = norm(yi)
+            return (Y, X)
+
+    def _forward_boundaries(self, x):
+        # map boundaries equally between 0 and 1...
+        b = self._boundaries
+        y = np.interp(x, b, np.linspace(0, 1, len(b)))
+        # the following avoids ticks in the extends:
+        eps = (b[-1] - b[0]) * 1e-6
+        # map these _well_ out of bounds to keep any ticks out
+        # of the extends region...
+        y[x < b[0]-eps] = -1
+        y[x > b[-1]+eps] = 2
         return y
 
-    def _mesh(self):
-        '''
-        Return X,Y, the coordinate arrays for the colorbar pcolormesh.
-        These are suitable for a vertical colorbar; swapping and
-        transposition for a horizontal colorbar are done outside
-        this function.
-        '''
-        x = np.array([0.0, 1.0])
-        if self.spacing == 'uniform':
-            y = self._uniform_y(self._central_N())
+    def _inverse_boundaries(self, x):
+        # invert the above...
+        b = self._boundaries
+        return np.interp(x, np.linspace(0, 1, len(b)), b)
+
+    def _reset_locator_formatter_scale(self):
+        """
+        Reset the locator et al to defaults.  Any user-hardcoded changes
+        need to be re-entered if this gets called (either at init, or when
+        the mappable normal gets changed: Colorbar.update_normal)
+        """
+        self._process_values()
+        self._locator = None
+        self._minorlocator = None
+        self._formatter = None
+        self._minorformatter = None
+        if (isinstance(self.mappable, contour.ContourSet) and
+                isinstance(self.norm, colors.LogNorm)):
+            # if contours have lognorm, give them a log scale...
+            self._set_scale('log')
+        elif (self.boundaries is not None or
+                isinstance(self.norm, colors.BoundaryNorm)):
+            if self.spacing == 'uniform':
+                funcs = (self._forward_boundaries, self._inverse_boundaries)
+                self._set_scale('function', functions=funcs)
+            elif self.spacing == 'proportional':
+                self._set_scale('linear')
+        elif getattr(self.norm, '_scale', None):
+            # use the norm's scale (if it exists and is not None):
+            self._set_scale(self.norm._scale)
+        elif type(self.norm) is colors.Normalize:
+            # plain Normalize:
+            self._set_scale('linear')
         else:
-            y = self._proportional_y()
-        self._y = y
-        X, Y = np.meshgrid(x, y)
-        if self._extend_lower() and not self.extendrect:
-            X[0, :] = 0.5
-        if self._extend_upper() and not self.extendrect:
-            X[-1, :] = 0.5
-        return X, Y
+            # norm._scale is None or not an attr: derive the scale from
+            # the Norm:
+            funcs = (self.norm, self.norm.inverse)
+            self._set_scale('function', functions=funcs)
 
     def _locate(self, x):
-        '''
+        """
         Given a set of color data values, return their
         corresponding colorbar data coordinates.
-        '''
+        """
         if isinstance(self.norm, (colors.NoNorm, colors.BoundaryNorm)):
             b = self._boundaries
             xn = x
@@ -823,274 +1204,225 @@ def _locate(self, x):
             b = self.norm(self._boundaries, clip=False).filled()
             xn = self.norm(x, clip=False).filled()
 
-        # The rest is linear interpolation with extrapolation at ends.
-        ii = np.searchsorted(b, xn)
-        i0 = ii - 1
-        itop = (ii == len(b))
-        ibot = (ii == 0)
-        i0[itop] -= 1
-        ii[itop] -= 1
-        i0[ibot] += 1
-        ii[ibot] += 1
-
-        db = np.take(b, ii) - np.take(b, i0)
-        y = self._y
-        dy = np.take(y, ii) - np.take(y, i0)
-        z = np.take(y, i0) + (xn - np.take(b, i0)) * dy / db
+        bunique = b[self._inside]
+        yunique = self._y
+
+        z = np.interp(xn, bunique, yunique)
         return z
 
-    def set_alpha(self, alpha):
-        self.alpha = alpha
+    # trivial helpers
 
-    def remove(self):
+    def _uniform_y(self, N):
         """
-        Remove this colorbar from the figure
+        Return colorbar data coordinates for *N* uniformly
+        spaced boundaries, plus extension lengths if required.
         """
+        automin = automax = 1. / (N - 1.)
+        extendlength = self._get_extension_lengths(self.extendfrac,
+                                                   automin, automax,
+                                                   default=0.05)
+        y = np.linspace(0, 1, N)
+        return y, extendlength
 
-        fig = self.ax.figure
-        fig.delaxes(self.ax)
-
-
-class Colorbar(ColorbarBase):
-    """
-    This class connects a :class:`ColorbarBase` to a
-    :class:`~matplotlib.cm.ScalarMappable` such as a
-    :class:`~matplotlib.image.AxesImage` generated via
-    :meth:`~matplotlib.axes.Axes.imshow`.
-
-    It is not intended to be instantiated directly; instead,
-    use :meth:`~matplotlib.figure.Figure.colorbar` or
-    :func:`~matplotlib.pyplot.colorbar` to make your colorbar.
-
-    """
-    def __init__(self, ax, mappable, **kw):
-        # Ensure the given mappable's norm has appropriate vmin and vmax set
-        # even if mappable.draw has not yet been called.
-        mappable.autoscale_None()
-
-        self.mappable = mappable
-        kw['cmap'] = cmap = mappable.cmap
-        kw['norm'] = norm = mappable.norm
-
-        if isinstance(mappable, contour.ContourSet):
-            CS = mappable
-            kw['alpha'] = mappable.get_alpha()
-            kw['boundaries'] = CS._levels
-            kw['values'] = CS.cvalues
-            kw['extend'] = CS.extend
-            #kw['ticks'] = CS._levels
-            kw.setdefault('ticks', ticker.FixedLocator(CS.levels, nbins=10))
-            kw['filled'] = CS.filled
-            ColorbarBase.__init__(self, ax, **kw)
-            if not CS.filled:
-                self.add_lines(CS)
+    def _proportional_y(self):
+        """
+        Return colorbar data coordinates for the boundaries of
+        a proportional colorbar, plus extension lengths if required:
+        """
+        if (isinstance(self.norm, colors.BoundaryNorm) or
+                self.boundaries is not None):
+            y = (self._boundaries - self._boundaries[self._inside][0])
+            y = y / (self._boundaries[self._inside][-1] -
+                     self._boundaries[self._inside][0])
+            # need yscaled the same as the axes scale to get
+            # the extend lengths.
+            if self.spacing == 'uniform':
+                yscaled = self._forward_boundaries(self._boundaries)
+            else:
+                yscaled = y
         else:
-            if getattr(cmap, 'colorbar_extend', False) is not False:
-                kw.setdefault('extend', cmap.colorbar_extend)
-
-            if isinstance(mappable, martist.Artist):
-                kw['alpha'] = mappable.get_alpha()
-
-            ColorbarBase.__init__(self, ax, **kw)
+            y = self.norm(self._boundaries.copy())
+            y = np.ma.filled(y, np.nan)
+            # the norm and the scale should be the same...
+            yscaled = y
+        y = y[self._inside]
+        yscaled = yscaled[self._inside]
+        # normalize from 0..1:
+        norm = colors.Normalize(y[0], y[-1])
+        y = np.ma.filled(norm(y), np.nan)
+        norm = colors.Normalize(yscaled[0], yscaled[-1])
+        yscaled = np.ma.filled(norm(yscaled), np.nan)
+        # make the lower and upper extend lengths proportional to the lengths
+        # of the first and last boundary spacing (if extendfrac='auto'):
+        automin = yscaled[1] - yscaled[0]
+        automax = yscaled[-1] - yscaled[-2]
+        extendlength = [0, 0]
+        if self._extend_lower() or self._extend_upper():
+            extendlength = self._get_extension_lengths(
+                    self.extendfrac, automin, automax, default=0.05)
+        return y, extendlength
 
-    def on_mappable_changed(self, mappable):
+    def _get_extension_lengths(self, frac, automin, automax, default=0.05):
         """
-        Updates this colorbar to match the mappable's properties.
-
-        Typically this is automatically registered as an event handler
-        by :func:`colorbar_factory` and should not be called manually.
+        Return the lengths of colorbar extensions.
 
+        This is a helper method for _uniform_y and _proportional_y.
         """
-        self.set_cmap(mappable.get_cmap())
-        self.set_clim(mappable.get_clim())
-        self.update_normal(mappable)
-
-    def add_lines(self, CS, erase=True):
-        '''
-        Add the lines from a non-filled
-        :class:`~matplotlib.contour.ContourSet` to the colorbar.
-
-        Set *erase* to False if these lines should be added to
-        any pre-existing lines.
-        '''
-        if not isinstance(CS, contour.ContourSet) or CS.filled:
-            raise ValueError('add_lines is only for a ContourSet of lines')
-        tcolors = [c[0] for c in CS.tcolors]
-        tlinewidths = [t[0] for t in CS.tlinewidths]
-        # The following was an attempt to get the colorbar lines
-        # to follow subsequent changes in the contour lines,
-        # but more work is needed: specifically, a careful
-        # look at event sequences, and at how
-        # to make one object track another automatically.
-        #tcolors = [col.get_colors()[0] for col in CS.collections]
-        #tlinewidths = [col.get_linewidth()[0] for lw in CS.collections]
-        #print 'tlinewidths:', tlinewidths
-        ColorbarBase.add_lines(self, CS.levels, tcolors, tlinewidths,
-                               erase=erase)
-
-    def update_normal(self, mappable):
-        '''
-        update solid, lines, etc. Unlike update_bruteforce, it does
-        not clear the axes.  This is meant to be called when the image
-        or contour plot to which this colorbar belongs is changed.
-        '''
-        self.draw_all()
-        if isinstance(self.mappable, contour.ContourSet):
-            CS = self.mappable
-            if not CS.filled:
-                self.add_lines(CS)
+        # Set the default value.
+        extendlength = np.array([default, default])
+        if isinstance(frac, str):
+            _api.check_in_list(['auto'], extendfrac=frac.lower())
+            # Use the provided values when 'auto' is required.
+            extendlength[:] = [automin, automax]
+        elif frac is not None:
+            try:
+                # Try to set min and max extension fractions directly.
+                extendlength[:] = frac
+                # If frac is a sequence containing None then NaN may
+                # be encountered. This is an error.
+                if np.isnan(extendlength).any():
+                    raise ValueError()
+            except (TypeError, ValueError) as err:
+                # Raise an error on encountering an invalid value for frac.
+                raise ValueError('invalid value for extendfrac') from err
+        return extendlength
 
-    def update_bruteforce(self, mappable):
-        '''
-        Destroy and rebuild the colorbar.  This is
-        intended to become obsolete, and will probably be
-        deprecated and then removed.  It is not called when
-        the pyplot.colorbar function or the Figure.colorbar
-        method are used to create the colorbar.
-
-        '''
-        # We are using an ugly brute-force method: clearing and
-        # redrawing the whole thing.  The problem is that if any
-        # properties have been changed by methods other than the
-        # colorbar methods, those changes will be lost.
-        self.ax.cla()
-        # clearing the axes will delete outline, patch, solids, and lines:
-        self.outline = None
-        self.patch = None
-        self.solids = None
-        self.lines = list()
-        self.dividers = None
-        self.set_alpha(mappable.get_alpha())
-        self.cmap = mappable.cmap
-        self.norm = mappable.norm
-        self.config_axis()
-        self.draw_all()
-        if isinstance(self.mappable, contour.ContourSet):
-            CS = self.mappable
-            if not CS.filled:
-                self.add_lines(CS)
-            #if self.lines is not None:
-            #    tcolors = [c[0] for c in CS.tcolors]
-            #    self.lines.set_color(tcolors)
-        #Fixme? Recalculate boundaries, ticks if vmin, vmax have changed.
-        #Fixme: Some refactoring may be needed; we should not
-        # be recalculating everything if there was a simple alpha
-        # change.
+    def _extend_lower(self):
+        """Return whether the lower limit is open ended."""
+        minmax = "max" if self.long_axis.get_inverted() else "min"
+        return self.extend in ('both', minmax)
 
-    def remove(self):
-        """
-        Remove this colorbar from the figure.  If the colorbar was created with
-        ``use_gridspec=True`` then restore the gridspec to its previous value.
-        """
+    def _extend_upper(self):
+        """Return whether the upper limit is open ended."""
+        minmax = "min" if self.long_axis.get_inverted() else "max"
+        return self.extend in ('both', minmax)
 
-        ColorbarBase.remove(self)
-        self.mappable.callbacksSM.disconnect(self.mappable.colorbar_cid)
-        self.mappable.colorbar = None
-        self.mappable.colorbar_cid = None
+    def _short_axis(self):
+        """Return the short axis"""
+        if self.orientation == 'vertical':
+            return self.ax.xaxis
+        return self.ax.yaxis
+
+    def _get_view(self):
+        # docstring inherited
+        # An interactive view for a colorbar is the norm's vmin/vmax
+        return self.norm.vmin, self.norm.vmax
+
+    def _set_view(self, view):
+        # docstring inherited
+        # An interactive view for a colorbar is the norm's vmin/vmax
+        self.norm.vmin, self.norm.vmax = view
+
+    def _set_view_from_bbox(self, bbox, direction='in',
+                            mode=None, twinx=False, twiny=False):
+        # docstring inherited
+        # For colorbars, we use the zoom bbox to scale the norm's vmin/vmax
+        new_xbound, new_ybound = self.ax._prepare_view_from_bbox(
+            bbox, direction=direction, mode=mode, twinx=twinx, twiny=twiny)
+        if self.orientation == 'horizontal':
+            self.norm.vmin, self.norm.vmax = new_xbound
+        elif self.orientation == 'vertical':
+            self.norm.vmin, self.norm.vmax = new_ybound
+
+    def drag_pan(self, button, key, x, y):
+        # docstring inherited
+        points = self.ax._get_pan_points(button, key, x, y)
+        if points is not None:
+            if self.orientation == 'horizontal':
+                self.norm.vmin, self.norm.vmax = points[:, 0]
+            elif self.orientation == 'vertical':
+                self.norm.vmin, self.norm.vmax = points[:, 1]
 
-        try:
-            ax = self.mappable.axes
-        except AttributeError:
-            return
 
-        try:
-            gs = ax.get_subplotspec().get_gridspec()
-            subplotspec = gs.get_topmost_subplotspec()
-        except AttributeError:
-            # use_gridspec was False
-            pos = ax.get_position(original=True)
-            ax.set_position(pos)
-        else:
-            # use_gridspec was True
-            ax.set_subplotspec(subplotspec)
+ColorbarBase = Colorbar  # Backcompat API
 
 
-@docstring.Substitution(make_axes_kw_doc)
-def make_axes(parents, location=None, orientation=None, fraction=0.15,
-              shrink=1.0, aspect=20, **kw):
-    '''
-    Resize and reposition parent axes, and return a child
-    axes suitable for a colorbar::
-
-        cax, kw = make_axes(parent, **kw)
-
-    Keyword arguments may include the following (with defaults):
-
-        location : [None|'left'|'right'|'top'|'bottom']
-            The position, relative to **parents**, where the colorbar axes
-            should be created. If None, the value will either come from the
-            given ``orientation``, else it will default to 'right'.
-
-        orientation :  [None|'vertical'|'horizontal']
-            The orientation of the colorbar. Typically, this keyword shouldn't
-            be used, as it can be derived from the ``location`` keyword.
-
-    %s
-
-    Returns (cax, kw), the child axes and the reduced kw dictionary to be
-    passed when creating the colorbar instance.
-    '''
-    locations = ["left", "right", "top", "bottom"]
-    if orientation is not None and location is not None:
-        msg = ('position and orientation are mutually exclusive. '
-               'Consider setting the position to any of '
-               '{0}'.format(', '.join(locations)))
-        raise TypeError(msg)
-
-    # provide a default location
-    if location is None and orientation is None:
-        location = 'right'
-
-    # allow the user to not specify the location by specifying the
-    # orientation instead
+def _normalize_location_orientation(location, orientation):
     if location is None:
-        location = 'right' if orientation == 'vertical' else 'bottom'
-
-    if location not in locations:
-        raise ValueError('Invalid colorbar location. Must be one '
-                         'of %s' % ', '.join(locations))
-
-    default_location_settings = {'left':   {'anchor': (1.0, 0.5),
-                                            'panchor': (0.0, 0.5),
-                                            'pad': 0.10,
-                                            'orientation': 'vertical'},
-                                 'right':  {'anchor': (0.0, 0.5),
-                                            'panchor': (1.0, 0.5),
-                                            'pad': 0.05,
-                                            'orientation': 'vertical'},
-                                 'top':    {'anchor': (0.5, 0.0),
-                                            'panchor': (0.5, 1.0),
-                                            'pad': 0.05,
-                                            'orientation': 'horizontal'},
-                                 'bottom': {'anchor': (0.5, 1.0),
-                                            'panchor': (0.5, 0.0),
-                                            'pad': 0.15,  # backwards compat
-                                            'orientation': 'horizontal'},
-                                 }
-
-    loc_settings = default_location_settings[location]
-
-    # put appropriate values into the kw dict for passing back to
+        location = _get_ticklocation_from_orientation(orientation)
+    loc_settings = _api.check_getitem({
+        "left":   {"location": "left", "anchor": (1.0, 0.5),
+                   "panchor": (0.0, 0.5), "pad": 0.10},
+        "right":  {"location": "right", "anchor": (0.0, 0.5),
+                   "panchor": (1.0, 0.5), "pad": 0.05},
+        "top":    {"location": "top", "anchor": (0.5, 0.0),
+                   "panchor": (0.5, 1.0), "pad": 0.05},
+        "bottom": {"location": "bottom", "anchor": (0.5, 1.0),
+                   "panchor": (0.5, 0.0), "pad": 0.15},
+    }, location=location)
+    loc_settings["orientation"] = _get_orientation_from_location(location)
+    if orientation is not None and orientation != loc_settings["orientation"]:
+        # Allow the user to pass both if they are consistent.
+        raise TypeError("location and orientation are mutually exclusive")
+    return loc_settings
+
+
+def _get_orientation_from_location(location):
+    return _api.check_getitem(
+        {None: None, "left": "vertical", "right": "vertical",
+         "top": "horizontal", "bottom": "horizontal"}, location=location)
+
+
+def _get_ticklocation_from_orientation(orientation):
+    return _api.check_getitem(
+        {None: "right", "vertical": "right", "horizontal": "bottom"},
+        orientation=orientation)
+
+
+@_docstring.interpd
+def make_axes(parents, location=None, orientation=None, fraction=0.15,
+              shrink=1.0, aspect=20, **kwargs):
+    """
+    Create an `~.axes.Axes` suitable for a colorbar.
+
+    The Axes is placed in the figure of the *parents* Axes, by resizing and
+    repositioning *parents*.
+
+    Parameters
+    ----------
+    parents : `~matplotlib.axes.Axes` or iterable or `numpy.ndarray` of `~.axes.Axes`
+        The Axes to use as parents for placing the colorbar.
+    %(_make_axes_kw_doc)s
+
+    Returns
+    -------
+    cax : `~matplotlib.axes.Axes`
+        The child Axes.
+    kwargs : dict
+        The reduced keyword dictionary to be passed when creating the colorbar
+        instance.
+    """
+    loc_settings = _normalize_location_orientation(location, orientation)
+    # put appropriate values into the kwargs dict for passing back to
     # the Colorbar class
-    kw['orientation'] = loc_settings['orientation']
-    kw['ticklocation'] = location
-
-    anchor = kw.pop('anchor', loc_settings['anchor'])
-    parent_anchor = kw.pop('panchor', loc_settings['panchor'])
-    pad = kw.pop('pad', loc_settings['pad'])
-
-    # turn parents into a list if it is not already
-    if not isinstance(parents, (list, tuple)):
+    kwargs['orientation'] = loc_settings['orientation']
+    location = kwargs['ticklocation'] = loc_settings['location']
+
+    anchor = kwargs.pop('anchor', loc_settings['anchor'])
+    panchor = kwargs.pop('panchor', loc_settings['panchor'])
+    aspect0 = aspect
+    # turn parents into a list if it is not already.  Note we cannot
+    # use .flatten or .ravel as these copy the references rather than
+    # reuse them, leading to a memory leak
+    if isinstance(parents, np.ndarray):
+        parents = list(parents.flat)
+    elif np.iterable(parents):
+        parents = list(parents)
+    else:
         parents = [parents]
 
     fig = parents[0].get_figure()
+
+    pad0 = 0.05 if fig.get_constrained_layout() else loc_settings['pad']
+    pad = kwargs.pop('pad', pad0)
+
     if not all(fig is ax.get_figure() for ax in parents):
-        raise ValueError('Unable to create a colorbar axes as not all '
+        raise ValueError('Unable to create a colorbar Axes as not all '
                          'parents share the same figure.')
 
-    # take a bounding box around all of the given axes
-    parents_bbox = mtrans.Bbox.union([ax.get_position(original=True).frozen()
-                                      for ax in parents])
+    # take a bounding box around all of the given Axes
+    parents_bbox = mtransforms.Bbox.union(
+        [ax.get_position(original=True).frozen() for ax in parents])
 
     pb = parents_bbox
     if location in ('left', 'right'):
@@ -1111,214 +1443,123 @@ def make_axes(parents, location=None, orientation=None, fraction=0.15,
 
     # define a transform which takes us from old axes coordinates to
     # new axes coordinates
-    shrinking_trans = mtrans.BboxTransform(parents_bbox, pb1)
+    shrinking_trans = mtransforms.BboxTransform(parents_bbox, pb1)
 
-    # transform each of the axes in parents using the new transform
+    # transform each of the Axes in parents using the new transform
     for ax in parents:
-        new_posn = shrinking_trans.transform(ax.get_position())
-        new_posn = mtrans.Bbox(new_posn)
-        ax.set_position(new_posn)
-        if parent_anchor is not False:
-            ax.set_anchor(parent_anchor)
-
-    cax = fig.add_axes(pbcb)
-    cax.set_aspect(aspect, anchor=anchor, adjustable='box')
-    return cax, kw
-
-
-@docstring.Substitution(make_axes_kw_doc)
-def make_axes_gridspec(parent, **kw):
-    '''
-    Resize and reposition a parent axes, and return a child axes
-    suitable for a colorbar. This function is similar to
-    make_axes. Prmary differences are
-
-     * *make_axes_gridspec* only handles the *orientation* keyword
-       and cannot handle the "location" keyword.
-
-     * *make_axes_gridspec* should only be used with a subplot parent.
-
-     * *make_axes* creates an instance of Axes. *make_axes_gridspec*
-        creates an instance of Subplot.
-
-     * *make_axes* updates the position of the
-        parent. *make_axes_gridspec* replaces the grid_spec attribute
-        of the parent with a new one.
-
-    While this function is meant to be compatible with *make_axes*,
-    there could be some minor differences.::
-
-        cax, kw = make_axes_gridspec(parent, **kw)
-
-    Keyword arguments may include the following (with defaults):
-
-        *orientation*
-            'vertical' or 'horizontal'
-
-    %s
-
-    All but the first of these are stripped from the input kw set.
-
-    Returns (cax, kw), the child axes and the reduced kw dictionary to be
-    passed when creating the colorbar instance.
-    '''
-
-    orientation = kw.setdefault('orientation', 'vertical')
-    kw['ticklocation'] = 'auto'
-
-    fraction = kw.pop('fraction', 0.15)
-    shrink = kw.pop('shrink', 1.0)
-    aspect = kw.pop('aspect', 20)
-
-    x1 = 1.0 - fraction
-
-    # for shrinking
-    pad_s = (1. - shrink) * 0.5
-    wh_ratios = [pad_s, shrink, pad_s]
-
-    gs_from_subplotspec = gridspec.GridSpecFromSubplotSpec
-    if orientation == 'vertical':
-        pad = kw.pop('pad', 0.05)
-        wh_space = 2 * pad / (1 - pad)
-
-        gs = gs_from_subplotspec(1, 2,
-                                 subplot_spec=parent.get_subplotspec(),
-                                 wspace=wh_space,
-                                 width_ratios=[x1 - pad, fraction]
-                                 )
-
-        gs2 = gs_from_subplotspec(3, 1,
-                                  subplot_spec=gs[1],
-                                  hspace=0.,
-                                  height_ratios=wh_ratios,
-                                  )
-
-        anchor = (0.0, 0.5)
-        panchor = (1.0, 0.5)
-    else:
-        pad = kw.pop('pad', 0.15)
-        wh_space = 2 * pad / (1 - pad)
-
-        gs = gs_from_subplotspec(2, 1,
-                                 subplot_spec=parent.get_subplotspec(),
-                                 hspace=wh_space,
-                                 height_ratios=[x1 - pad, fraction]
-                                 )
-
-        gs2 = gs_from_subplotspec(1, 3,
-                                  subplot_spec=gs[1],
-                                  wspace=0.,
-                                  width_ratios=wh_ratios,
-                                  )
-
-        aspect = 1.0 / aspect
-        anchor = (0.5, 1.0)
-        panchor = (0.5, 0.0)
-
-    parent.set_subplotspec(gs[0])
-    parent.update_params()
-    parent.set_position(parent.figbox)
-    parent.set_anchor(panchor)
-
-    fig = parent.get_figure()
-    cax = fig.add_subplot(gs2[1])
-    cax.set_aspect(aspect, anchor=anchor, adjustable='box')
-    return cax, kw
-
-
-class ColorbarPatch(Colorbar):
+        new_posn = shrinking_trans.transform(ax.get_position(original=True))
+        new_posn = mtransforms.Bbox(new_posn)
+        ax._set_position(new_posn)
+        if panchor is not False:
+            ax.set_anchor(panchor)
+
+    cax = fig.add_axes(pbcb, label="<colorbar>")
+    for a in parents:
+        # tell the parent it has a colorbar
+        a._colorbars += [cax]
+    cax._colorbar_info = dict(
+        parents=parents,
+        location=location,
+        shrink=shrink,
+        anchor=anchor,
+        panchor=panchor,
+        fraction=fraction,
+        aspect=aspect0,
+        pad=pad)
+    # and we need to set the aspect ratio by hand...
+    cax.set_anchor(anchor)
+    cax.set_box_aspect(aspect)
+    cax.set_aspect('auto')
+
+    return cax, kwargs
+
+
+@_docstring.interpd
+def make_axes_gridspec(parent, *, location=None, orientation=None,
+                       fraction=0.15, shrink=1.0, aspect=20, **kwargs):
     """
-    A Colorbar which is created using :class:`~matplotlib.patches.Patch`
-    rather than the default :func:`~matplotlib.axes.pcolor`.
-
-    It uses a list of Patch instances instead of a
-    :class:`~matplotlib.collections.PatchCollection` because the
-    latter does not allow the hatch pattern to vary among the
-    members of the collection.
+    Create an `~.axes.Axes` suitable for a colorbar.
+
+    The Axes is placed in the figure of the *parent* Axes, by resizing and
+    repositioning *parent*.
+
+    This function is similar to `.make_axes` and mostly compatible with it.
+    Primary differences are
+
+    - `.make_axes_gridspec` requires the *parent* to have a subplotspec.
+    - `.make_axes` positions the Axes in figure coordinates;
+      `.make_axes_gridspec` positions it using a subplotspec.
+    - `.make_axes` updates the position of the parent.  `.make_axes_gridspec`
+      replaces the parent gridspec with a new one.
+
+    Parameters
+    ----------
+    parent : `~matplotlib.axes.Axes`
+        The Axes to use as parent for placing the colorbar.
+    %(_make_axes_kw_doc)s
+
+    Returns
+    -------
+    cax : `~matplotlib.axes.Axes`
+        The child Axes.
+    kwargs : dict
+        The reduced keyword dictionary to be passed when creating the colorbar
+        instance.
     """
-    def __init__(self, ax, mappable, **kw):
-        # we do not want to override the behaviour of solids
-        # so add a new attribute which will be a list of the
-        # colored patches in the colorbar
-        self.solids_patches = []
-        Colorbar.__init__(self, ax, mappable, **kw)
 
-    def _add_solids(self, X, Y, C):
-        """
-        Draw the colors using :class:`~matplotlib.patches.Patch`;
-        optionally add separators.
-        """
-        # Save, set, and restore hold state to keep pcolor from
-        # clearing the axes. Ordinarily this will not be needed,
-        # since the axes object should already have hold set.
-        _hold = self.ax.ishold()
-        self.ax.hold(True)
-
-        kw = {'alpha': self.alpha, }
-
-        n_segments = len(C)
-
-        # ensure there are sufficent hatches
-        hatches = self.mappable.hatches * n_segments
-
-        patches = []
-        for i in xrange(len(X) - 1):
-            val = C[i][0]
-            hatch = hatches[i]
+    loc_settings = _normalize_location_orientation(location, orientation)
+    kwargs['orientation'] = loc_settings['orientation']
+    location = kwargs['ticklocation'] = loc_settings['location']
 
-            xy = np.array([[X[i][0], Y[i][0]],
-                           [X[i][1], Y[i][0]],
-                           [X[i + 1][1], Y[i + 1][0]],
-                           [X[i + 1][0], Y[i + 1][1]]])
+    aspect0 = aspect
+    anchor = kwargs.pop('anchor', loc_settings['anchor'])
+    panchor = kwargs.pop('panchor', loc_settings['panchor'])
+    pad = kwargs.pop('pad', loc_settings["pad"])
+    wh_space = 2 * pad / (1 - pad)
 
-            if self.orientation == 'horizontal':
-                # if horizontal swap the xs and ys
-                xy = xy[..., ::-1]
-
-            patch = mpatches.PathPatch(mpath.Path(xy),
-                                       facecolor=self.cmap(self.norm(val)),
-                                       hatch=hatch, linewidth=0,
-                                       antialiased=False, **kw)
-            self.ax.add_patch(patch)
-            patches.append(patch)
-
-        if self.solids_patches:
-            for solid in self.solids_patches:
-                solid.remove()
-
-        self.solids_patches = patches
-
-        if self.dividers is not None:
-            self.dividers.remove()
-            self.dividers = None
-
-        if self.drawedges:
-            self.dividers = collections.LineCollection(self._edges(X, Y),
-                    colors=(mpl.rcParams['axes.edgecolor'],),
-                    linewidths=(0.5 * mpl.rcParams['axes.linewidth'],))
-            self.ax.add_collection(self.dividers)
-
-        self.ax.hold(_hold)
-
-
-def colorbar_factory(cax, mappable, **kwargs):
-    """
-    Creates a colorbar on the given axes for the given mappable.
-
-    Typically, for automatic colorbar placement given only a mappable use
-    :meth:`~matplotlib.figure.Figure.colorbar`.
-
-    """
-    # if the given mappable is a contourset with any hatching, use
-    # ColorbarPatch else use Colorbar
-    if (isinstance(mappable, contour.ContourSet)
-            and any([hatch is not None for hatch in mappable.hatches])):
-        cb = ColorbarPatch(cax, mappable, **kwargs)
+    if location in ('left', 'right'):
+        gs = parent.get_subplotspec().subgridspec(
+            3, 2, wspace=wh_space, hspace=0,
+            height_ratios=[(1-anchor[1])*(1-shrink), shrink, anchor[1]*(1-shrink)])
+        if location == 'left':
+            gs.set_width_ratios([fraction, 1 - fraction - pad])
+            ss_main = gs[:, 1]
+            ss_cb = gs[1, 0]
+        else:
+            gs.set_width_ratios([1 - fraction - pad, fraction])
+            ss_main = gs[:, 0]
+            ss_cb = gs[1, 1]
     else:
-        cb = Colorbar(cax, mappable, **kwargs)
+        gs = parent.get_subplotspec().subgridspec(
+            2, 3, hspace=wh_space, wspace=0,
+            width_ratios=[anchor[0]*(1-shrink), shrink, (1-anchor[0])*(1-shrink)])
+        if location == 'top':
+            gs.set_height_ratios([fraction, 1 - fraction - pad])
+            ss_main = gs[1, :]
+            ss_cb = gs[0, 1]
+        else:
+            gs.set_height_ratios([1 - fraction - pad, fraction])
+            ss_main = gs[0, :]
+            ss_cb = gs[1, 1]
+        aspect = 1 / aspect
 
-    cid = mappable.callbacksSM.connect('changed', cb.on_mappable_changed)
-    mappable.colorbar = cb
-    mappable.colorbar_cid = cid
+    parent.set_subplotspec(ss_main)
+    if panchor is not False:
+        parent.set_anchor(panchor)
 
-    return cb
+    fig = parent.get_figure()
+    cax = fig.add_subplot(ss_cb, label="<colorbar>")
+    cax.set_anchor(anchor)
+    cax.set_box_aspect(aspect)
+    cax.set_aspect('auto')
+    cax._colorbar_info = dict(
+        location=location,
+        parents=[parent],
+        shrink=shrink,
+        anchor=anchor,
+        panchor=panchor,
+        fraction=fraction,
+        aspect=aspect0,
+        pad=pad)
+
+    return cax, kwargs
diff --git a/lib/matplotlib/colorbar.pyi b/lib/matplotlib/colorbar.pyi
new file mode 100644
index 000000000000..07467ca74f3d
--- /dev/null
+++ b/lib/matplotlib/colorbar.pyi
@@ -0,0 +1,139 @@
+import matplotlib.spines as mspines
+from matplotlib import cm, collections, colors, contour, colorizer
+from matplotlib.axes import Axes
+from matplotlib.axis import Axis
+from matplotlib.backend_bases import RendererBase
+from matplotlib.patches import Patch
+from matplotlib.ticker import Locator, Formatter
+from matplotlib.transforms import Bbox
+
+import numpy as np
+from numpy.typing import ArrayLike
+from collections.abc import Sequence
+from typing import Any, Literal, overload
+from .typing import ColorType
+
+class _ColorbarSpine(mspines.Spines):
+    def __init__(self, axes: Axes): ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox:...
+    def set_xy(self, xy: ArrayLike) -> None: ...
+    def draw(self, renderer: RendererBase | None) -> None:...
+
+
+class Colorbar:
+    n_rasterize: int
+    mappable: cm.ScalarMappable | colorizer.ColorizingArtist
+    ax: Axes
+    alpha: float | None
+    cmap: colors.Colormap
+    norm: colors.Normalize
+    values: Sequence[float] | None
+    boundaries: Sequence[float] | None
+    extend: Literal["neither", "both", "min", "max"]
+    spacing: Literal["uniform", "proportional"]
+    orientation: Literal["vertical", "horizontal"]
+    drawedges: bool
+    extendfrac: Literal["auto"] | float | Sequence[float] | None
+    extendrect: bool
+    solids: None | collections.QuadMesh
+    solids_patches: list[Patch]
+    lines: list[collections.LineCollection]
+    outline: _ColorbarSpine
+    dividers: collections.LineCollection
+    ticklocation: Literal["left", "right", "top", "bottom"]
+    def __init__(
+        self,
+        ax: Axes,
+        mappable: cm.ScalarMappable | colorizer.ColorizingArtist | None = ...,
+        *,
+        cmap: str | colors.Colormap | None = ...,
+        norm: colors.Normalize | None = ...,
+        alpha: float | None = ...,
+        values: Sequence[float] | None = ...,
+        boundaries: Sequence[float] | None = ...,
+        orientation: Literal["vertical", "horizontal"] | None = ...,
+        ticklocation: Literal["auto", "left", "right", "top", "bottom"] = ...,
+        extend: Literal["neither", "both", "min", "max"] | None = ...,
+        spacing: Literal["uniform", "proportional"] = ...,
+        ticks: Sequence[float] | Locator | None = ...,
+        format: str | Formatter | None = ...,
+        drawedges: bool = ...,
+        extendfrac: Literal["auto"] | float | Sequence[float] | None = ...,
+        extendrect: bool = ...,
+        label: str = ...,
+        location: Literal["left", "right", "top", "bottom"] | None = ...
+    ) -> None: ...
+    @property
+    def long_axis(self) -> Axis: ...
+    @property
+    def locator(self) -> Locator: ...
+    @locator.setter
+    def locator(self, loc: Locator) -> None: ...
+    @property
+    def minorlocator(self) -> Locator: ...
+    @minorlocator.setter
+    def minorlocator(self, loc: Locator) -> None: ...
+    @property
+    def formatter(self) -> Formatter: ...
+    @formatter.setter
+    def formatter(self, fmt: Formatter) -> None: ...
+    @property
+    def minorformatter(self) -> Formatter: ...
+    @minorformatter.setter
+    def minorformatter(self, fmt: Formatter) -> None: ...
+    def update_normal(self, mappable: cm.ScalarMappable | None = ...) -> None: ...
+    @overload
+    def add_lines(self, CS: contour.ContourSet, erase: bool = ...) -> None: ...
+    @overload
+    def add_lines(
+        self,
+        levels: ArrayLike,
+        colors: ColorType | Sequence[ColorType],
+        linewidths: float | ArrayLike,
+        erase: bool = ...,
+    ) -> None: ...
+    def update_ticks(self) -> None: ...
+    def set_ticks(
+        self,
+        ticks: Sequence[float] | Locator,
+        *,
+        labels: Sequence[str] | None = ...,
+        minor: bool = ...,
+        **kwargs
+    ) -> None: ...
+    def get_ticks(self, minor: bool = ...) -> np.ndarray: ...
+    def set_ticklabels(
+        self,
+        ticklabels: Sequence[str],
+        *,
+        minor: bool = ...,
+        **kwargs
+    ) -> None: ...
+    def minorticks_on(self) -> None: ...
+    def minorticks_off(self) -> None: ...
+    def set_label(self, label: str, *, loc: str | None = ..., **kwargs) -> None: ...
+    def set_alpha(self, alpha: float | np.ndarray) -> None: ...
+    def remove(self) -> None: ...
+    def drag_pan(self, button: Any, key: Any, x: float, y: float) -> None: ...
+
+ColorbarBase = Colorbar
+
+def make_axes(
+    parents: Axes | list[Axes] | np.ndarray,
+    location: Literal["left", "right", "top", "bottom"] | None = ...,
+    orientation: Literal["vertical", "horizontal"] | None = ...,
+    fraction: float = ...,
+    shrink: float = ...,
+    aspect: float = ...,
+    **kwargs
+) -> tuple[Axes, dict[str, Any]]: ...
+def make_axes_gridspec(
+    parent: Axes,
+    *,
+    location: Literal["left", "right", "top", "bottom"] | None = ...,
+    orientation: Literal["vertical", "horizontal"] | None = ...,
+    fraction: float = ...,
+    shrink: float = ...,
+    aspect: float = ...,
+    **kwargs
+) -> tuple[Axes, dict[str, Any]]: ...
diff --git a/lib/matplotlib/colorizer.py b/lib/matplotlib/colorizer.py
new file mode 100644
index 000000000000..b4223f389804
--- /dev/null
+++ b/lib/matplotlib/colorizer.py
@@ -0,0 +1,703 @@
+"""
+The Colorizer class which handles the data to color pipeline via a
+normalization and a colormap.
+
+.. admonition:: Provisional status of colorizer
+
+    The ``colorizer`` module and classes in this file are considered
+    provisional and may change at any time without a deprecation period.
+
+.. seealso::
+
+  :doc:`/gallery/color/colormap_reference` for a list of builtin colormaps.
+
+  :ref:`colormap-manipulation` for examples of how to make colormaps.
+
+  :ref:`colormaps` for an in-depth discussion of choosing colormaps.
+
+  :ref:`colormapnorms` for more details about data normalization.
+
+"""
+
+import functools
+
+import numpy as np
+from numpy import ma
+
+from matplotlib import _api, colors, cbook, scale, artist
+import matplotlib as mpl
+
+mpl._docstring.interpd.register(
+    colorizer_doc="""\
+colorizer : `~matplotlib.colorizer.Colorizer` or None, default: None
+    The Colorizer object used to map color to data. If None, a Colorizer
+    object is created from a *norm* and *cmap*.""",
+    )
+
+
+class Colorizer:
+    """
+    Data to color pipeline.
+
+    This pipeline is accessible via `.Colorizer.to_rgba` and executed via
+    the `.Colorizer.norm` and `.Colorizer.cmap` attributes.
+
+    Parameters
+    ----------
+    cmap: colorbar.Colorbar or str or None, default: None
+        The colormap used to color data.
+
+    norm: colors.Normalize or str or None, default: None
+        The normalization used to normalize the data
+    """
+    def __init__(self, cmap=None, norm=None):
+
+        self._cmap = None
+        self._set_cmap(cmap)
+
+        self._id_norm = None
+        self._norm = None
+        self.norm = norm
+
+        self.callbacks = cbook.CallbackRegistry(signals=["changed"])
+        self.colorbar = None
+
+    def _scale_norm(self, norm, vmin, vmax, A):
+        """
+        Helper for initial scaling.
+
+        Used by public functions that create a ScalarMappable and support
+        parameters *vmin*, *vmax* and *norm*. This makes sure that a *norm*
+        will take precedence over *vmin*, *vmax*.
+
+        Note that this method does not set the norm.
+        """
+        if vmin is not None or vmax is not None:
+            self.set_clim(vmin, vmax)
+            if isinstance(norm, colors.Normalize):
+                raise ValueError(
+                    "Passing a Normalize instance simultaneously with "
+                    "vmin/vmax is not supported.  Please pass vmin/vmax "
+                    "directly to the norm when creating it.")
+
+        # always resolve the autoscaling so we have concrete limits
+        # rather than deferring to draw time.
+        self.autoscale_None(A)
+
+    @property
+    def norm(self):
+        return self._norm
+
+    @norm.setter
+    def norm(self, norm):
+        _api.check_isinstance((colors.Normalize, str, None), norm=norm)
+        if norm is None:
+            norm = colors.Normalize()
+        elif isinstance(norm, str):
+            try:
+                scale_cls = scale._scale_mapping[norm]
+            except KeyError:
+                raise ValueError(
+                    "Invalid norm str name; the following values are "
+                    f"supported: {', '.join(scale._scale_mapping)}"
+                ) from None
+            norm = _auto_norm_from_scale(scale_cls)()
+
+        if norm is self.norm:
+            # We aren't updating anything
+            return
+
+        in_init = self.norm is None
+        # Remove the current callback and connect to the new one
+        if not in_init:
+            self.norm.callbacks.disconnect(self._id_norm)
+        self._norm = norm
+        self._id_norm = self.norm.callbacks.connect('changed',
+                                                    self.changed)
+        if not in_init:
+            self.changed()
+
+    def to_rgba(self, x, alpha=None, bytes=False, norm=True):
+        """
+        Return a normalized RGBA array corresponding to *x*.
+
+        In the normal case, *x* is a 1D or 2D sequence of scalars, and
+        the corresponding `~numpy.ndarray` of RGBA values will be returned,
+        based on the norm and colormap set for this Colorizer.
+
+        There is one special case, for handling images that are already
+        RGB or RGBA, such as might have been read from an image file.
+        If *x* is an `~numpy.ndarray` with 3 dimensions,
+        and the last dimension is either 3 or 4, then it will be
+        treated as an RGB or RGBA array, and no mapping will be done.
+        The array can be `~numpy.uint8`, or it can be floats with
+        values in the 0-1 range; otherwise a ValueError will be raised.
+        Any NaNs or masked elements will be set to 0 alpha.
+        If the last dimension is 3, the *alpha* kwarg (defaulting to 1)
+        will be used to fill in the transparency.  If the last dimension
+        is 4, the *alpha* kwarg is ignored; it does not
+        replace the preexisting alpha.  A ValueError will be raised
+        if the third dimension is other than 3 or 4.
+
+        In either case, if *bytes* is *False* (default), the RGBA
+        array will be floats in the 0-1 range; if it is *True*,
+        the returned RGBA array will be `~numpy.uint8` in the 0 to 255 range.
+
+        If norm is False, no normalization of the input data is
+        performed, and it is assumed to be in the range (0-1).
+
+        """
+        # First check for special case, image input:
+        if isinstance(x, np.ndarray) and x.ndim == 3:
+            return self._pass_image_data(x, alpha, bytes, norm)
+
+        # Otherwise run norm -> colormap pipeline
+        x = ma.asarray(x)
+        if norm:
+            x = self.norm(x)
+        rgba = self.cmap(x, alpha=alpha, bytes=bytes)
+        return rgba
+
+    @staticmethod
+    def _pass_image_data(x, alpha=None, bytes=False, norm=True):
+        """
+        Helper function to pass ndarray of shape (...,3) or (..., 4)
+        through `to_rgba()`, see `to_rgba()` for docstring.
+        """
+        if x.shape[2] == 3:
+            if alpha is None:
+                alpha = 1
+            if x.dtype == np.uint8:
+                alpha = np.uint8(alpha * 255)
+            m, n = x.shape[:2]
+            xx = np.empty(shape=(m, n, 4), dtype=x.dtype)
+            xx[:, :, :3] = x
+            xx[:, :, 3] = alpha
+        elif x.shape[2] == 4:
+            xx = x
+        else:
+            raise ValueError("Third dimension must be 3 or 4")
+        if xx.dtype.kind == 'f':
+            # If any of R, G, B, or A is nan, set to 0
+            if np.any(nans := np.isnan(x)):
+                if x.shape[2] == 4:
+                    xx = xx.copy()
+                xx[np.any(nans, axis=2), :] = 0
+
+            if norm and (xx.max() > 1 or xx.min() < 0):
+                raise ValueError("Floating point image RGB values "
+                                 "must be in the 0..1 range.")
+            if bytes:
+                xx = (xx * 255).astype(np.uint8)
+        elif xx.dtype == np.uint8:
+            if not bytes:
+                xx = xx.astype(np.float32) / 255
+        else:
+            raise ValueError("Image RGB array must be uint8 or "
+                             "floating point; found %s" % xx.dtype)
+        # Account for any masked entries in the original array
+        # If any of R, G, B, or A are masked for an entry, we set alpha to 0
+        if np.ma.is_masked(x):
+            xx[np.any(np.ma.getmaskarray(x), axis=2), 3] = 0
+        return xx
+
+    def autoscale(self, A):
+        """
+        Autoscale the scalar limits on the norm instance using the
+        current array
+        """
+        if A is None:
+            raise TypeError('You must first set_array for mappable')
+        # If the norm's limits are updated self.changed() will be called
+        # through the callbacks attached to the norm
+        self.norm.autoscale(A)
+
+    def autoscale_None(self, A):
+        """
+        Autoscale the scalar limits on the norm instance using the
+        current array, changing only limits that are None
+        """
+        if A is None:
+            raise TypeError('You must first set_array for mappable')
+        # If the norm's limits are updated self.changed() will be called
+        # through the callbacks attached to the norm
+        self.norm.autoscale_None(A)
+
+    def _set_cmap(self, cmap):
+        """
+        Set the colormap for luminance data.
+
+        Parameters
+        ----------
+        cmap : `.Colormap` or str or None
+        """
+        # bury import to avoid circular imports
+        from matplotlib import cm
+        in_init = self._cmap is None
+        self._cmap = cm._ensure_cmap(cmap)
+        if not in_init:
+            self.changed()  # Things are not set up properly yet.
+
+    @property
+    def cmap(self):
+        return self._cmap
+
+    @cmap.setter
+    def cmap(self, cmap):
+        self._set_cmap(cmap)
+
+    def set_clim(self, vmin=None, vmax=None):
+        """
+        Set the norm limits for image scaling.
+
+        Parameters
+        ----------
+        vmin, vmax : float
+             The limits.
+
+             The limits may also be passed as a tuple (*vmin*, *vmax*) as a
+             single positional argument.
+
+             .. ACCEPTS: (vmin: float, vmax: float)
+        """
+        # If the norm's limits are updated self.changed() will be called
+        # through the callbacks attached to the norm, this causes an inconsistent
+        # state, to prevent this blocked context manager is used
+        if vmax is None:
+            try:
+                vmin, vmax = vmin
+            except (TypeError, ValueError):
+                pass
+
+        orig_vmin_vmax = self.norm.vmin, self.norm.vmax
+
+        # Blocked context manager prevents callbacks from being triggered
+        # until both vmin and vmax are updated
+        with self.norm.callbacks.blocked(signal='changed'):
+            if vmin is not None:
+                self.norm.vmin = colors._sanitize_extrema(vmin)
+            if vmax is not None:
+                self.norm.vmax = colors._sanitize_extrema(vmax)
+
+        # emit a update signal if the limits are changed
+        if orig_vmin_vmax != (self.norm.vmin, self.norm.vmax):
+            self.norm.callbacks.process('changed')
+
+    def get_clim(self):
+        """
+        Return the values (min, max) that are mapped to the colormap limits.
+        """
+        return self.norm.vmin, self.norm.vmax
+
+    def changed(self):
+        """
+        Call this whenever the mappable is changed to notify all the
+        callbackSM listeners to the 'changed' signal.
+        """
+        self.callbacks.process('changed')
+        self.stale = True
+
+    @property
+    def vmin(self):
+        return self.get_clim()[0]
+
+    @vmin.setter
+    def vmin(self, vmin):
+        self.set_clim(vmin=vmin)
+
+    @property
+    def vmax(self):
+        return self.get_clim()[1]
+
+    @vmax.setter
+    def vmax(self, vmax):
+        self.set_clim(vmax=vmax)
+
+    @property
+    def clip(self):
+        return self.norm.clip
+
+    @clip.setter
+    def clip(self, clip):
+        self.norm.clip = clip
+
+
+class _ColorizerInterface:
+    """
+    Base class that contains the interface to `Colorizer` objects from
+    a `ColorizingArtist` or `.cm.ScalarMappable`.
+
+    Note: This class only contain functions that interface the .colorizer
+    attribute. Other functions that as shared between `.ColorizingArtist`
+    and `.cm.ScalarMappable` are not included.
+    """
+    def _scale_norm(self, norm, vmin, vmax):
+        self._colorizer._scale_norm(norm, vmin, vmax, self._A)
+
+    def to_rgba(self, x, alpha=None, bytes=False, norm=True):
+        """
+        Return a normalized RGBA array corresponding to *x*.
+
+        In the normal case, *x* is a 1D or 2D sequence of scalars, and
+        the corresponding `~numpy.ndarray` of RGBA values will be returned,
+        based on the norm and colormap set for this Colorizer.
+
+        There is one special case, for handling images that are already
+        RGB or RGBA, such as might have been read from an image file.
+        If *x* is an `~numpy.ndarray` with 3 dimensions,
+        and the last dimension is either 3 or 4, then it will be
+        treated as an RGB or RGBA array, and no mapping will be done.
+        The array can be `~numpy.uint8`, or it can be floats with
+        values in the 0-1 range; otherwise a ValueError will be raised.
+        Any NaNs or masked elements will be set to 0 alpha.
+        If the last dimension is 3, the *alpha* kwarg (defaulting to 1)
+        will be used to fill in the transparency.  If the last dimension
+        is 4, the *alpha* kwarg is ignored; it does not
+        replace the preexisting alpha.  A ValueError will be raised
+        if the third dimension is other than 3 or 4.
+
+        In either case, if *bytes* is *False* (default), the RGBA
+        array will be floats in the 0-1 range; if it is *True*,
+        the returned RGBA array will be `~numpy.uint8` in the 0 to 255 range.
+
+        If norm is False, no normalization of the input data is
+        performed, and it is assumed to be in the range (0-1).
+
+        """
+        return self._colorizer.to_rgba(x, alpha=alpha, bytes=bytes, norm=norm)
+
+    def get_clim(self):
+        """
+        Return the values (min, max) that are mapped to the colormap limits.
+        """
+        return self._colorizer.get_clim()
+
+    def set_clim(self, vmin=None, vmax=None):
+        """
+        Set the norm limits for image scaling.
+
+        Parameters
+        ----------
+        vmin, vmax : float
+             The limits.
+
+             For scalar data, the limits may also be passed as a
+             tuple (*vmin*, *vmax*) as a single positional argument.
+
+             .. ACCEPTS: (vmin: float, vmax: float)
+        """
+        # If the norm's limits are updated self.changed() will be called
+        # through the callbacks attached to the norm
+        self._colorizer.set_clim(vmin, vmax)
+
+    def get_alpha(self):
+        try:
+            return super().get_alpha()
+        except AttributeError:
+            return 1
+
+    @property
+    def cmap(self):
+        return self._colorizer.cmap
+
+    @cmap.setter
+    def cmap(self, cmap):
+        self._colorizer.cmap = cmap
+
+    def get_cmap(self):
+        """Return the `.Colormap` instance."""
+        return self._colorizer.cmap
+
+    def set_cmap(self, cmap):
+        """
+        Set the colormap for luminance data.
+
+        Parameters
+        ----------
+        cmap : `.Colormap` or str or None
+        """
+        self.cmap = cmap
+
+    @property
+    def norm(self):
+        return self._colorizer.norm
+
+    @norm.setter
+    def norm(self, norm):
+        self._colorizer.norm = norm
+
+    def set_norm(self, norm):
+        """
+        Set the normalization instance.
+
+        Parameters
+        ----------
+        norm : `.Normalize` or str or None
+
+        Notes
+        -----
+        If there are any colorbars using the mappable for this norm, setting
+        the norm of the mappable will reset the norm, locator, and formatters
+        on the colorbar to default.
+        """
+        self.norm = norm
+
+    def autoscale(self):
+        """
+        Autoscale the scalar limits on the norm instance using the
+        current array
+        """
+        self._colorizer.autoscale(self._A)
+
+    def autoscale_None(self):
+        """
+        Autoscale the scalar limits on the norm instance using the
+        current array, changing only limits that are None
+        """
+        self._colorizer.autoscale_None(self._A)
+
+    @property
+    def colorbar(self):
+        """
+        The last colorbar associated with this object. May be None
+        """
+        return self._colorizer.colorbar
+
+    @colorbar.setter
+    def colorbar(self, colorbar):
+        self._colorizer.colorbar = colorbar
+
+    def _format_cursor_data_override(self, data):
+        # This function overwrites Artist.format_cursor_data(). We cannot
+        # implement cm.ScalarMappable.format_cursor_data() directly, because
+        # most cm.ScalarMappable subclasses inherit from Artist first and from
+        # cm.ScalarMappable second, so Artist.format_cursor_data would always
+        # have precedence over cm.ScalarMappable.format_cursor_data.
+
+        # Note if cm.ScalarMappable is depreciated, this functionality should be
+        # implemented as format_cursor_data() on ColorizingArtist.
+        n = self.cmap.N
+        if np.ma.getmask(data):
+            return "[]"
+        normed = self.norm(data)
+        if np.isfinite(normed):
+            if isinstance(self.norm, colors.BoundaryNorm):
+                # not an invertible normalization mapping
+                cur_idx = np.argmin(np.abs(self.norm.boundaries - data))
+                neigh_idx = max(0, cur_idx - 1)
+                # use max diff to prevent delta == 0
+                delta = np.diff(
+                    self.norm.boundaries[neigh_idx:cur_idx + 2]
+                ).max()
+            elif self.norm.vmin == self.norm.vmax:
+                # singular norms, use delta of 10% of only value
+                delta = np.abs(self.norm.vmin * .1)
+            else:
+                # Midpoints of neighboring color intervals.
+                neighbors = self.norm.inverse(
+                    (int(normed * n) + np.array([0, 1])) / n)
+                delta = abs(neighbors - data).max()
+            g_sig_digits = cbook._g_sig_digits(data, delta)
+        else:
+            g_sig_digits = 3  # Consistent with default below.
+        return f"[{data:-#.{g_sig_digits}g}]"
+
+
+class _ScalarMappable(_ColorizerInterface):
+    """
+    A mixin class to map one or multiple sets of scalar data to RGBA.
+
+    The ScalarMappable applies data normalization before returning RGBA colors from
+    the given `~matplotlib.colors.Colormap`.
+    """
+
+    # _ScalarMappable exists for compatibility with
+    # code written before the introduction of the Colorizer
+    # and ColorizingArtist classes.
+
+    # _ScalarMappable can be depreciated so that ColorizingArtist
+    # inherits directly from _ColorizerInterface.
+    # in this case, the following changes should occur:
+    # __init__() has its functionality moved to ColorizingArtist.
+    # set_array(), get_array(), _get_colorizer() and
+    # _check_exclusionary_keywords() are moved to ColorizingArtist.
+    # changed() can be removed so long as colorbar.Colorbar
+    # is changed to connect to the colorizer instead of the
+    # ScalarMappable/ColorizingArtist,
+    # otherwise changed() can be moved to ColorizingArtist.
+    def __init__(self, norm=None, cmap=None, *, colorizer=None, **kwargs):
+        """
+        Parameters
+        ----------
+        norm : `.Normalize` (or subclass thereof) or str or None
+            The normalizing object which scales data, typically into the
+            interval ``[0, 1]``.
+            If a `str`, a `.Normalize` subclass is dynamically generated based
+            on the scale with the corresponding name.
+            If *None*, *norm* defaults to a *colors.Normalize* object which
+            initializes its scaling based on the first data processed.
+        cmap : str or `~matplotlib.colors.Colormap`
+            The colormap used to map normalized data values to RGBA colors.
+        """
+        super().__init__(**kwargs)
+        self._A = None
+        self._colorizer = self._get_colorizer(colorizer=colorizer, norm=norm, cmap=cmap)
+
+        self.colorbar = None
+        self._id_colorizer = self._colorizer.callbacks.connect('changed', self.changed)
+        self.callbacks = cbook.CallbackRegistry(signals=["changed"])
+
+    def set_array(self, A):
+        """
+        Set the value array from array-like *A*.
+
+        Parameters
+        ----------
+        A : array-like or None
+            The values that are mapped to colors.
+
+            The base class `.ScalarMappable` does not make any assumptions on
+            the dimensionality and shape of the value array *A*.
+        """
+        if A is None:
+            self._A = None
+            return
+
+        A = cbook.safe_masked_invalid(A, copy=True)
+        if not np.can_cast(A.dtype, float, "same_kind"):
+            raise TypeError(f"Image data of dtype {A.dtype} cannot be "
+                            "converted to float")
+
+        self._A = A
+        if not self.norm.scaled():
+            self._colorizer.autoscale_None(A)
+
+    def get_array(self):
+        """
+        Return the array of values, that are mapped to colors.
+
+        The base class `.ScalarMappable` does not make any assumptions on
+        the dimensionality and shape of the array.
+        """
+        return self._A
+
+    def changed(self):
+        """
+        Call this whenever the mappable is changed to notify all the
+        callbackSM listeners to the 'changed' signal.
+        """
+        self.callbacks.process('changed', self)
+        self.stale = True
+
+    @staticmethod
+    def _check_exclusionary_keywords(colorizer, **kwargs):
+        """
+        Raises a ValueError if any kwarg is not None while colorizer is not None
+        """
+        if colorizer is not None:
+            if any([val is not None for val in kwargs.values()]):
+                raise ValueError("The `colorizer` keyword cannot be used simultaneously"
+                                 " with any of the following keywords: "
+                                 + ", ".join(f'`{key}`' for key in kwargs.keys()))
+
+    @staticmethod
+    def _get_colorizer(cmap, norm, colorizer):
+        if isinstance(colorizer, Colorizer):
+            _ScalarMappable._check_exclusionary_keywords(
+                Colorizer, cmap=cmap, norm=norm
+            )
+            return colorizer
+        return Colorizer(cmap, norm)
+
+# The docstrings here must be generic enough to apply to all relevant methods.
+mpl._docstring.interpd.register(
+    cmap_doc="""\
+cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+    The Colormap instance or registered colormap name used to map scalar data
+    to colors.""",
+    norm_doc="""\
+norm : str or `~matplotlib.colors.Normalize`, optional
+    The normalization method used to scale scalar data to the [0, 1] range
+    before mapping to colors using *cmap*. By default, a linear scaling is
+    used, mapping the lowest value to 0 and the highest to 1.
+
+    If given, this can be one of the following:
+
+    - An instance of `.Normalize` or one of its subclasses
+      (see :ref:`colormapnorms`).
+    - A scale name, i.e. one of "linear", "log", "symlog", "logit", etc.  For a
+      list of available scales, call `matplotlib.scale.get_scale_names()`.
+      In that case, a suitable `.Normalize` subclass is dynamically generated
+      and instantiated.""",
+    vmin_vmax_doc="""\
+vmin, vmax : float, optional
+    When using scalar data and no explicit *norm*, *vmin* and *vmax* define
+    the data range that the colormap covers. By default, the colormap covers
+    the complete value range of the supplied data. It is an error to use
+    *vmin*/*vmax* when a *norm* instance is given (but using a `str` *norm*
+    name together with *vmin*/*vmax* is acceptable).""",
+)
+
+
+class ColorizingArtist(_ScalarMappable, artist.Artist):
+    """
+    Base class for artists that make map data to color using a `.colorizer.Colorizer`.
+
+    The `.colorizer.Colorizer` applies data normalization before
+    returning RGBA colors from a `~matplotlib.colors.Colormap`.
+
+    """
+    def __init__(self, colorizer, **kwargs):
+        """
+        Parameters
+        ----------
+        colorizer : `.colorizer.Colorizer`
+        """
+        _api.check_isinstance(Colorizer, colorizer=colorizer)
+        super().__init__(colorizer=colorizer, **kwargs)
+
+    @property
+    def colorizer(self):
+        return self._colorizer
+
+    @colorizer.setter
+    def colorizer(self, cl):
+        _api.check_isinstance(Colorizer, colorizer=cl)
+        self._colorizer.callbacks.disconnect(self._id_colorizer)
+        self._colorizer = cl
+        self._id_colorizer = cl.callbacks.connect('changed', self.changed)
+
+    def _set_colorizer_check_keywords(self, colorizer, **kwargs):
+        """
+        Raises a ValueError if any kwarg is not None while colorizer is not None.
+        """
+        self._check_exclusionary_keywords(colorizer, **kwargs)
+        self.colorizer = colorizer
+
+
+def _auto_norm_from_scale(scale_cls):
+    """
+    Automatically generate a norm class from *scale_cls*.
+
+    This differs from `.colors.make_norm_from_scale` in the following points:
+
+    - This function is not a class decorator, but directly returns a norm class
+      (as if decorating `.Normalize`).
+    - The scale is automatically constructed with ``nonpositive="mask"``, if it
+      supports such a parameter, to work around the difference in defaults
+      between standard scales (which use "clip") and norms (which use "mask").
+
+    Note that ``make_norm_from_scale`` caches the generated norm classes
+    (not the instances) and reuses them for later calls.  For example,
+    ``type(_auto_norm_from_scale("log")) == LogNorm``.
+    """
+    # Actually try to construct an instance, to verify whether
+    # ``nonpositive="mask"`` is supported.
+    try:
+        norm = colors.make_norm_from_scale(
+            functools.partial(scale_cls, nonpositive="mask"))(
+            colors.Normalize)()
+    except TypeError:
+        norm = colors.make_norm_from_scale(scale_cls)(
+            colors.Normalize)()
+    return type(norm)
diff --git a/lib/matplotlib/colorizer.pyi b/lib/matplotlib/colorizer.pyi
new file mode 100644
index 000000000000..f35ebe5295e4
--- /dev/null
+++ b/lib/matplotlib/colorizer.pyi
@@ -0,0 +1,101 @@
+from matplotlib import cbook, colorbar, colors, artist
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+
+class Colorizer:
+    colorbar: colorbar.Colorbar | None
+    callbacks: cbook.CallbackRegistry
+    def __init__(
+        self,
+        cmap: str | colors.Colormap | None = ...,
+        norm: str | colors.Normalize | None = ...,
+    ) -> None: ...
+    @property
+    def norm(self) -> colors.Normalize: ...
+    @norm.setter
+    def norm(self, norm: colors.Normalize | str | None) -> None: ...
+    def to_rgba(
+        self,
+        x: np.ndarray,
+        alpha: float | ArrayLike | None = ...,
+        bytes: bool = ...,
+        norm: bool = ...,
+    ) -> np.ndarray: ...
+    def autoscale(self, A: ArrayLike) -> None: ...
+    def autoscale_None(self, A: ArrayLike) -> None: ...
+    @property
+    def cmap(self) -> colors.Colormap: ...
+    @cmap.setter
+    def cmap(self, cmap: colors.Colormap | str | None) -> None: ...
+    def get_clim(self) -> tuple[float, float]: ...
+    def set_clim(self, vmin: float | tuple[float, float] | None = ..., vmax: float | None = ...) -> None: ...
+    def changed(self) -> None: ...
+    @property
+    def vmin(self) -> float | None: ...
+    @vmin.setter
+    def vmin(self, value: float | None) -> None: ...
+    @property
+    def vmax(self) -> float | None: ...
+    @vmax.setter
+    def vmax(self, value: float | None) -> None: ...
+    @property
+    def clip(self) -> bool: ...
+    @clip.setter
+    def clip(self, value: bool) -> None: ...
+
+
+class _ColorizerInterface:
+    cmap: colors.Colormap
+    colorbar: colorbar.Colorbar | None
+    callbacks: cbook.CallbackRegistry
+    def to_rgba(
+        self,
+        x: np.ndarray,
+        alpha: float | ArrayLike | None = ...,
+        bytes: bool = ...,
+        norm: bool = ...,
+    ) -> np.ndarray: ...
+    def get_clim(self) -> tuple[float, float]: ...
+    def set_clim(self, vmin: float | tuple[float, float] | None = ..., vmax: float | None = ...) -> None: ...
+    def get_alpha(self) -> float | None: ...
+    def get_cmap(self) -> colors.Colormap: ...
+    def set_cmap(self, cmap: str | colors.Colormap) -> None: ...
+    @property
+    def norm(self) -> colors.Normalize: ...
+    @norm.setter
+    def norm(self, norm: colors.Normalize | str | None) -> None: ...
+    def set_norm(self, norm: colors.Normalize | str | None) -> None: ...
+    def autoscale(self) -> None: ...
+    def autoscale_None(self) -> None: ...
+
+
+class _ScalarMappable(_ColorizerInterface):
+    def __init__(
+        self,
+        norm: colors.Normalize | None = ...,
+        cmap: str | colors.Colormap | None = ...,
+        *,
+        colorizer: Colorizer | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_array(self, A: ArrayLike | None) -> None: ...
+    def get_array(self) -> np.ndarray | None: ...
+    def changed(self) -> None: ...
+
+
+class ColorizingArtist(_ScalarMappable, artist.Artist):
+    callbacks: cbook.CallbackRegistry
+    def __init__(
+        self,
+        colorizer: Colorizer,
+        **kwargs
+    ) -> None: ...
+    def set_array(self, A: ArrayLike | None) -> None: ...
+    def get_array(self) -> np.ndarray | None: ...
+    def changed(self) -> None: ...
+    @property
+    def colorizer(self) -> Colorizer: ...
+    @colorizer.setter
+    def colorizer(self, cl: Colorizer) -> None: ...
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index bbc79043bccd..dd5d22130904 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -1,464 +1,676 @@
 """
-A module for converting numbers or color arguments to *RGB* or *RGBA*
+A module for converting numbers or color arguments to *RGB* or *RGBA*.
 
 *RGB* and *RGBA* are sequences of, respectively, 3 or 4 floats in the
 range 0-1.
 
-This module includes functions and classes for color specification
-conversions, and for mapping numbers to colors in a 1-D array of colors called
-a colormap. Colormapping typically involves two steps: a data array is first
-mapped onto the range 0-1 using an instance of :class:`Normalize` or of a
-subclass; then this number in the 0-1 range is mapped to a color using an
-instance of a subclass of :class:`Colormap`.  Two are provided here:
-:class:`LinearSegmentedColormap`, which is used to generate all the built-in
-colormap instances, but is also useful for making custom colormaps, and
-:class:`ListedColormap`, which is used for generating a custom colormap from a
-list of color specifications.
+This module includes functions and classes for color specification conversions,
+and for mapping numbers to colors in a 1-D array of colors called a colormap.
 
-The module also provides a single instance, *colorConverter*, of the
-:class:`ColorConverter` class providing methods for converting single color
-specifications or sequences of them to *RGB* or *RGBA*.
+Mapping data onto colors using a colormap typically involves two steps: a data
+array is first mapped onto the range 0-1 using a subclass of `Normalize`,
+then this number is mapped to a color using a subclass of `Colormap`.  Two
+subclasses of `Colormap` provided here:  `LinearSegmentedColormap`, which uses
+piecewise-linear interpolation to define colormaps, and `ListedColormap`, which
+makes a colormap from a list of colors.
 
-Commands which take color arguments can use several formats to specify
-the colors.  For the basic built-in colors, you can use a single letter
+.. seealso::
 
-    - b: blue
-    - g: green
-    - r: red
-    - c: cyan
-    - m: magenta
-    - y: yellow
-    - k: black
-    - w: white
+  :ref:`colormap-manipulation` for examples of how to
+  make colormaps and
 
-Gray shades can be given as a string encoding a float in the 0-1 range, e.g.::
+  :ref:`colormaps` for a list of built-in colormaps.
 
-    color = '0.75'
+  :ref:`colormapnorms` for more details about data
+  normalization
 
-For a greater range of colors, you have two options.  You can specify the
-color using an html hex string, as in::
+  More colormaps are available at palettable_.
 
-      color = '#eeefff'
+The module also provides functions for checking whether an object can be
+interpreted as a color (`is_color_like`), for converting such an object
+to an RGBA tuple (`to_rgba`) or to an HTML-like hex string in the
+"#rrggbb" format (`to_hex`), and a sequence of colors to an (n, 4)
+RGBA array (`to_rgba_array`).  Caching is used for efficiency.
 
-or you can pass an *R* , *G* , *B* tuple, where each of *R* , *G* , *B* are in
-the range [0,1].
+Colors that Matplotlib recognizes are listed at
+:ref:`colors_def`.
 
-Finally, legal html names for colors, like 'red', 'burlywood' and 'chartreuse'
-are supported.
+.. _palettable: https://jiffyclub.github.io/palettable/
+.. _xkcd color survey: https://xkcd.com/color/rgb/
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
-
-import warnings
+import base64
+from collections.abc import Sequence, Mapping
+import functools
+import importlib
+import inspect
+import io
+import itertools
+from numbers import Real
 import re
+
+from PIL import Image
+from PIL.PngImagePlugin import PngInfo
+
+import matplotlib as mpl
 import numpy as np
-from numpy import ma
-import matplotlib.cbook as cbook
-
-cnames = {
-    'aliceblue':            '#F0F8FF',
-    'antiquewhite':         '#FAEBD7',
-    'aqua':                 '#00FFFF',
-    'aquamarine':           '#7FFFD4',
-    'azure':                '#F0FFFF',
-    'beige':                '#F5F5DC',
-    'bisque':               '#FFE4C4',
-    'black':                '#000000',
-    'blanchedalmond':       '#FFEBCD',
-    'blue':                 '#0000FF',
-    'blueviolet':           '#8A2BE2',
-    'brown':                '#A52A2A',
-    'burlywood':            '#DEB887',
-    'cadetblue':            '#5F9EA0',
-    'chartreuse':           '#7FFF00',
-    'chocolate':            '#D2691E',
-    'coral':                '#FF7F50',
-    'cornflowerblue':       '#6495ED',
-    'cornsilk':             '#FFF8DC',
-    'crimson':              '#DC143C',
-    'cyan':                 '#00FFFF',
-    'darkblue':             '#00008B',
-    'darkcyan':             '#008B8B',
-    'darkgoldenrod':        '#B8860B',
-    'darkgray':             '#A9A9A9',
-    'darkgreen':            '#006400',
-    'darkkhaki':            '#BDB76B',
-    'darkmagenta':          '#8B008B',
-    'darkolivegreen':       '#556B2F',
-    'darkorange':           '#FF8C00',
-    'darkorchid':           '#9932CC',
-    'darkred':              '#8B0000',
-    'darksage':             '#598556',
-    'darksalmon':           '#E9967A',
-    'darkseagreen':         '#8FBC8F',
-    'darkslateblue':        '#483D8B',
-    'darkslategray':        '#2F4F4F',
-    'darkturquoise':        '#00CED1',
-    'darkviolet':           '#9400D3',
-    'deeppink':             '#FF1493',
-    'deepskyblue':          '#00BFFF',
-    'dimgray':              '#696969',
-    'dodgerblue':           '#1E90FF',
-    'firebrick':            '#B22222',
-    'floralwhite':          '#FFFAF0',
-    'forestgreen':          '#228B22',
-    'fuchsia':              '#FF00FF',
-    'gainsboro':            '#DCDCDC',
-    'ghostwhite':           '#F8F8FF',
-    'gold':                 '#FFD700',
-    'goldenrod':            '#DAA520',
-    'gray':                 '#808080',
-    'green':                '#008000',
-    'greenyellow':          '#ADFF2F',
-    'honeydew':             '#F0FFF0',
-    'hotpink':              '#FF69B4',
-    'indianred':            '#CD5C5C',
-    'indigo':               '#4B0082',
-    'ivory':                '#FFFFF0',
-    'khaki':                '#F0E68C',
-    'lavender':             '#E6E6FA',
-    'lavenderblush':        '#FFF0F5',
-    'lawngreen':            '#7CFC00',
-    'lemonchiffon':         '#FFFACD',
-    'lightblue':            '#ADD8E6',
-    'lightcoral':           '#F08080',
-    'lightcyan':            '#E0FFFF',
-    'lightgoldenrodyellow': '#FAFAD2',
-    'lightgreen':           '#90EE90',
-    'lightgray':            '#D3D3D3',
-    'lightpink':            '#FFB6C1',
-    'lightsage':            '#BCECAC',
-    'lightsalmon':          '#FFA07A',
-    'lightseagreen':        '#20B2AA',
-    'lightskyblue':         '#87CEFA',
-    'lightslategray':       '#778899',
-    'lightsteelblue':       '#B0C4DE',
-    'lightyellow':          '#FFFFE0',
-    'lime':                 '#00FF00',
-    'limegreen':            '#32CD32',
-    'linen':                '#FAF0E6',
-    'magenta':              '#FF00FF',
-    'maroon':               '#800000',
-    'mediumaquamarine':     '#66CDAA',
-    'mediumblue':           '#0000CD',
-    'mediumorchid':         '#BA55D3',
-    'mediumpurple':         '#9370DB',
-    'mediumseagreen':       '#3CB371',
-    'mediumslateblue':      '#7B68EE',
-    'mediumspringgreen':    '#00FA9A',
-    'mediumturquoise':      '#48D1CC',
-    'mediumvioletred':      '#C71585',
-    'midnightblue':         '#191970',
-    'mintcream':            '#F5FFFA',
-    'mistyrose':            '#FFE4E1',
-    'moccasin':             '#FFE4B5',
-    'navajowhite':          '#FFDEAD',
-    'navy':                 '#000080',
-    'oldlace':              '#FDF5E6',
-    'olive':                '#808000',
-    'olivedrab':            '#6B8E23',
-    'orange':               '#FFA500',
-    'orangered':            '#FF4500',
-    'orchid':               '#DA70D6',
-    'palegoldenrod':        '#EEE8AA',
-    'palegreen':            '#98FB98',
-    'paleturquoise':        '#AFEEEE',
-    'palevioletred':        '#DB7093',
-    'papayawhip':           '#FFEFD5',
-    'peachpuff':            '#FFDAB9',
-    'peru':                 '#CD853F',
-    'pink':                 '#FFC0CB',
-    'plum':                 '#DDA0DD',
-    'powderblue':           '#B0E0E6',
-    'purple':               '#800080',
-    'red':                  '#FF0000',
-    'rosybrown':            '#BC8F8F',
-    'royalblue':            '#4169E1',
-    'saddlebrown':          '#8B4513',
-    'salmon':               '#FA8072',
-    'sage':                 '#87AE73',
-    'sandybrown':           '#FAA460',
-    'seagreen':             '#2E8B57',
-    'seashell':             '#FFF5EE',
-    'sienna':               '#A0522D',
-    'silver':               '#C0C0C0',
-    'skyblue':              '#87CEEB',
-    'slateblue':            '#6A5ACD',
-    'slategray':            '#708090',
-    'snow':                 '#FFFAFA',
-    'springgreen':          '#00FF7F',
-    'steelblue':            '#4682B4',
-    'tan':                  '#D2B48C',
-    'teal':                 '#008080',
-    'thistle':              '#D8BFD8',
-    'tomato':               '#FF6347',
-    'turquoise':            '#40E0D0',
-    'violet':               '#EE82EE',
-    'wheat':                '#F5DEB3',
-    'white':                '#FFFFFF',
-    'whitesmoke':           '#F5F5F5',
-    'yellow':               '#FFFF00',
-    'yellowgreen':          '#9ACD32'}
-
-
-# add british equivs
-for k, v in list(six.iteritems(cnames)):
-    if k.find('gray') >= 0:
-        k = k.replace('gray', 'grey')
-        cnames[k] = v
+from matplotlib import _api, _cm, cbook, scale, _image
+from ._color_data import BASE_COLORS, TABLEAU_COLORS, CSS4_COLORS, XKCD_COLORS
 
 
-def is_color_like(c):
-    'Return *True* if *c* can be converted to *RGB*'
-    try:
-        colorConverter.to_rgb(c)
-        return True
-    except ValueError:
-        return False
+class _ColorMapping(dict):
+    def __init__(self, mapping):
+        super().__init__(mapping)
+        self.cache = {}
 
+    def __setitem__(self, key, value):
+        super().__setitem__(key, value)
+        self.cache.clear()
 
-def rgb2hex(rgb):
-    'Given an rgb or rgba sequence of 0-1 floats, return the hex string'
-    a = '#%02x%02x%02x' % tuple([int(np.round(val * 255)) for val in rgb[:3]])
-    return a
+    def __delitem__(self, key):
+        super().__delitem__(key)
+        self.cache.clear()
 
-hexColorPattern = re.compile("\A#[a-fA-F0-9]{6}\Z")
 
+_colors_full_map = {}
+# Set by reverse priority order.
+_colors_full_map.update(XKCD_COLORS)
+_colors_full_map.update({k.replace('grey', 'gray'): v
+                         for k, v in XKCD_COLORS.items()
+                         if 'grey' in k})
+_colors_full_map.update(CSS4_COLORS)
+_colors_full_map.update(TABLEAU_COLORS)
+_colors_full_map.update({k.replace('gray', 'grey'): v
+                         for k, v in TABLEAU_COLORS.items()
+                         if 'gray' in k})
+_colors_full_map.update(BASE_COLORS)
+_colors_full_map = _ColorMapping(_colors_full_map)
 
-def hex2color(s):
-    """
-    Take a hex string *s* and return the corresponding rgb 3-tuple
-    Example: #efefef -> (0.93725, 0.93725, 0.93725)
-    """
-    if not isinstance(s, six.string_types):
-        raise TypeError('hex2color requires a string argument')
-    if hexColorPattern.match(s) is None:
-        raise ValueError('invalid hex color string "%s"' % s)
-    return tuple([int(n, 16) / 255.0 for n in (s[1:3], s[3:5], s[5:7])])
+_REPR_PNG_SIZE = (512, 64)
+_BIVAR_REPR_PNG_SIZE = 256
 
 
-class ColorConverter(object):
-    """
-    Provides methods for converting color specifications to *RGB* or *RGBA*
+def get_named_colors_mapping():
+    """Return the global mapping of names to named colors."""
+    return _colors_full_map
+
+
+class ColorSequenceRegistry(Mapping):
+    r"""
+    Container for sequences of colors that are known to Matplotlib by name.
+
+    The universal registry instance is `matplotlib.color_sequences`. There
+    should be no need for users to instantiate `.ColorSequenceRegistry`
+    themselves.
+
+    Read access uses a dict-like interface mapping names to lists of colors::
+
+        import matplotlib as mpl
+        colors = mpl.color_sequences['tab10']
+
+    For a list of built in color sequences, see :doc:`/gallery/color/color_sequences`.
+    The returned lists are copies, so that their modification does not change
+    the global definition of the color sequence.
 
-    Caching is used for more efficient conversion upon repeated calls
-    with the same argument.
+    Additional color sequences can be added via
+    `.ColorSequenceRegistry.register`::
 
-    Ordinarily only the single instance instantiated in this module,
-    *colorConverter*, is needed.
+        mpl.color_sequences.register('rgb', ['r', 'g', 'b'])
     """
-    colors = {
-        'b': (0.0, 0.0, 1.0),
-        'g': (0.0, 0.5, 0.0),
-        'r': (1.0, 0.0, 0.0),
-        'c': (0.0, 0.75, 0.75),
-        'm': (0.75, 0, 0.75),
-        'y': (0.75, 0.75, 0),
-        'k': (0.0, 0.0, 0.0),
-        'w': (1.0, 1.0, 1.0), }
 
-    cache = {}
+    _BUILTIN_COLOR_SEQUENCES = {
+        'tab10': _cm._tab10_data,
+        'tab20': _cm._tab20_data,
+        'tab20b': _cm._tab20b_data,
+        'tab20c': _cm._tab20c_data,
+        'Pastel1': _cm._Pastel1_data,
+        'Pastel2': _cm._Pastel2_data,
+        'Paired': _cm._Paired_data,
+        'Accent': _cm._Accent_data,
+        'Dark2': _cm._Dark2_data,
+        'Set1': _cm._Set1_data,
+        'Set2': _cm._Set2_data,
+        'Set3': _cm._Set3_data,
+        'petroff6': _cm._petroff6_data,
+        'petroff8': _cm._petroff8_data,
+        'petroff10': _cm._petroff10_data,
+    }
+
+    def __init__(self):
+        self._color_sequences = {**self._BUILTIN_COLOR_SEQUENCES}
+
+    def __getitem__(self, item):
+        try:
+            return list(self._color_sequences[item])
+        except KeyError:
+            raise KeyError(f"{item!r} is not a known color sequence name")
+
+    def __iter__(self):
+        return iter(self._color_sequences)
+
+    def __len__(self):
+        return len(self._color_sequences)
 
-    def to_rgb(self, arg):
+    def __str__(self):
+        return ('ColorSequenceRegistry; available colormaps:\n' +
+                ', '.join(f"'{name}'" for name in self))
+
+    def register(self, name, color_list):
         """
-        Returns an *RGB* tuple of three floats from 0-1.
+        Register a new color sequence.
+
+        The color sequence registry stores a copy of the given *color_list*, so
+        that future changes to the original list do not affect the registered
+        color sequence. Think of this as the registry taking a snapshot
+        of *color_list* at registration.
 
-        *arg* can be an *RGB* or *RGBA* sequence or a string in any of
-        several forms:
+        Parameters
+        ----------
+        name : str
+            The name for the color sequence.
 
-            1) a letter from the set 'rgbcmykw'
-            2) a hex color string, like '#00FFFF'
-            3) a standard name, like 'aqua'
-            4) a string representation of a float, like '0.4',
-               indicating gray on a 0-1 scale
+        color_list : list of :mpltype:`color`
+            An iterable returning valid Matplotlib colors when iterating over.
+            Note however that the returned color sequence will always be a
+            list regardless of the input type.
 
-        if *arg* is *RGBA*, the *A* will simply be discarded.
         """
-        # Gray must be a string to distinguish 3-4 grays from RGB or RGBA.
+        if name in self._BUILTIN_COLOR_SEQUENCES:
+            raise ValueError(f"{name!r} is a reserved name for a builtin "
+                             "color sequence")
 
-        try:
-            return self.cache[arg]
-        except KeyError:
-            pass
-        except TypeError:  # could be unhashable rgb seq
-            arg = tuple(arg)
+        color_list = list(color_list)  # force copy and coerce type to list
+        for color in color_list:
             try:
-                return self.cache[arg]
-            except KeyError:
-                pass
-            except TypeError:
+                to_rgba(color)
+            except ValueError:
                 raise ValueError(
-                    'to_rgb: arg "%s" is unhashable even inside a tuple'
-                    % (str(arg),))
+                    f"{color!r} is not a valid color specification")
 
-        try:
-            if cbook.is_string_like(arg):
-                argl = arg.lower()
-                color = self.colors.get(argl, None)
-                if color is None:
-                    str1 = cnames.get(argl, argl)
-                    if str1.startswith('#'):
-                        color = hex2color(str1)
-                    else:
-                        fl = float(argl)
-                        if fl < 0 or fl > 1:
-                            raise ValueError(
-                                'gray (string) must be in range 0-1')
-                        color = (fl,)*3
-            elif cbook.iterable(arg):
-                if len(arg) > 4 or len(arg) < 3:
-                    raise ValueError(
-                        'sequence length is %d; must be 3 or 4' % len(arg))
-                color = tuple(arg[:3])
-                if [x for x in color if (float(x) < 0) or (x > 1)]:
-                    # This will raise TypeError if x is not a number.
-                    raise ValueError(
-                        'number in rbg sequence outside 0-1 range')
-            else:
-                raise ValueError(
-                    'cannot convert argument to rgb sequence')
+        self._color_sequences[name] = color_list
 
-            self.cache[arg] = color
+    def unregister(self, name):
+        """
+        Remove a sequence from the registry.
 
-        except (KeyError, ValueError, TypeError) as exc:
-            raise ValueError(
-                'to_rgb: Invalid rgb arg "%s"\n%s' % (str(arg), exc))
-            # Error messages could be improved by handling TypeError
-            # separately; but this should be rare and not too hard
-            # for the user to figure out as-is.
-        return color
+        You cannot remove built-in color sequences.
 
-    def to_rgba(self, arg, alpha=None):
+        If the name is not registered, returns with no error.
         """
-        Returns an *RGBA* tuple of four floats from 0-1.
+        if name in self._BUILTIN_COLOR_SEQUENCES:
+            raise ValueError(
+                f"Cannot unregister builtin color sequence {name!r}")
+        self._color_sequences.pop(name, None)
 
-        For acceptable values of *arg*, see :meth:`to_rgb`.
-        In addition, if *arg* is "none" (case-insensitive),
-        then (0,0,0,0) will be returned.
-        If *arg* is an *RGBA* sequence and *alpha* is not *None*,
-        *alpha* will replace the original *A*.
-        """
-        try:
-            if arg.lower() == 'none':
-                return (0.0, 0.0, 0.0, 0.0)
-        except AttributeError:
-            pass
 
-        try:
-            if not cbook.is_string_like(arg) and cbook.iterable(arg):
-                if len(arg) == 4:
-                    if any(float(x) < 0 or x > 1 for x in arg):
-                        raise ValueError(
-                            'number in rbga sequence outside 0-1 range')
-                    if alpha is None:
-                        return tuple(arg)
-                    if alpha < 0.0 or alpha > 1.0:
-                        raise ValueError("alpha must be in range 0-1")
-                    return arg[0], arg[1], arg[2], alpha
-                if len(arg) == 3:
-                    r, g, b = arg
-                    if any(float(x) < 0 or x > 1 for x in arg):
-                        raise ValueError(
-                            'number in rbg sequence outside 0-1 range')
-                else:
-                    raise ValueError(
-                            'length of rgba sequence should be either 3 or 4')
-            else:
-                r, g, b = self.to_rgb(arg)
-            if alpha is None:
-                alpha = 1.0
-            return r, g, b, alpha
-        except (TypeError, ValueError) as exc:
+_color_sequences = ColorSequenceRegistry()
+
+
+def _sanitize_extrema(ex):
+    if ex is None:
+        return ex
+    try:
+        ret = ex.item()
+    except AttributeError:
+        ret = float(ex)
+    return ret
+
+_nth_color_re = re.compile(r"\AC[0-9]+\Z")
+
+
+def _is_nth_color(c):
+    """Return whether *c* can be interpreted as an item in the color cycle."""
+    return isinstance(c, str) and _nth_color_re.match(c)
+
+
+def is_color_like(c):
+    """Return whether *c* as a valid Matplotlib :mpltype:`color` specifier."""
+    # Special-case nth color syntax because it cannot be parsed during setup.
+    if _is_nth_color(c):
+        return True
+    try:
+        to_rgba(c)
+    except (TypeError, ValueError):
+        return False
+    else:
+        return True
+
+
+def _has_alpha_channel(c):
+    """
+    Return whether *c* is a color with an alpha channel.
+
+    If *c* is not a valid color specifier, then the result is undefined.
+    """
+    # The following logic uses the assumption that c is a valid color spec.
+    # For speed and simplicity, we intentionally don't care about other inputs.
+    # Anything can happen with them.
+
+    # if c is a hex, it has an alpha channel when it has 4 (or 8) digits after '#'
+    if isinstance(c, str):
+        if c[0] == '#' and (len(c) == 5 or len(c) == 9):
+            # example: '#fff8' or '#0f0f0f80'
+            return True
+    else:
+        # if c isn't a string, it can be an RGB(A) or a color-alpha tuple
+        # if it has length 4, it has an alpha channel
+        if len(c) == 4:
+            # example: [0.5, 0.5, 0.5, 0.5]
+            return True
+
+        # if it has length 2, it's a color/alpha tuple
+        # if the second element isn't None or the first element has length = 4
+        if len(c) == 2 and (c[1] is not None or _has_alpha_channel(c[0])):
+            # example: ([0.5, 0.5, 0.5, 0.5], None) or ('r', 0.5)
+            return True
+
+    # otherwise it doesn't have an alpha channel
+    return False
+
+
+def _check_color_like(**kwargs):
+    """
+    For each *key, value* pair in *kwargs*, check that *value* is color-like.
+    """
+    for k, v in kwargs.items():
+        if not is_color_like(v):
             raise ValueError(
-                'to_rgba: Invalid rgba arg "%s"\n%s' % (str(arg), exc))
+                f"{v!r} is not a valid value for {k}: supported inputs are "
+                f"(r, g, b) and (r, g, b, a) 0-1 float tuples; "
+                f"'#rrggbb', '#rrggbbaa', '#rgb', '#rgba' strings; "
+                f"named color strings; "
+                f"string reprs of 0-1 floats for grayscale values; "
+                f"'C0', 'C1', ... strings for colors of the color cycle; "
+                f"and pairs combining one of the above with an alpha value")
 
-    def to_rgba_array(self, c, alpha=None):
-        """
-        Returns a numpy array of *RGBA* tuples.
 
-        Accepts a single mpl color spec or a sequence of specs.
+def same_color(c1, c2):
+    """
+    Return whether the colors *c1* and *c2* are the same.
 
-        Special case to handle "no color": if *c* is "none" (case-insensitive),
-        then an empty array will be returned.  Same for an empty list.
-        """
+    *c1*, *c2* can be single colors or lists/arrays of colors.
+    """
+    c1 = to_rgba_array(c1)
+    c2 = to_rgba_array(c2)
+    n1 = max(c1.shape[0], 1)  # 'none' results in shape (0, 4), but is 1-elem
+    n2 = max(c2.shape[0], 1)  # 'none' results in shape (0, 4), but is 1-elem
+
+    if n1 != n2:
+        raise ValueError('Different number of elements passed.')
+    # The following shape test is needed to correctly handle comparisons with
+    # 'none', which results in a shape (0, 4) array and thus cannot be tested
+    # via value comparison.
+    return c1.shape == c2.shape and (c1 == c2).all()
+
+
+def to_rgba(c, alpha=None):
+    """
+    Convert *c* to an RGBA color.
+
+    Parameters
+    ----------
+    c : :mpltype:`color` or ``np.ma.masked``
+
+    alpha : float, optional
+        If *alpha* is given, force the alpha value of the returned RGBA tuple
+        to *alpha*.
+
+        If None, the alpha value from *c* is used. If *c* does not have an
+        alpha channel, then alpha defaults to 1.
+
+        *alpha* is ignored for the color value ``"none"`` (case-insensitive),
+        which always maps to ``(0, 0, 0, 0)``.
+
+    Returns
+    -------
+    tuple
+        Tuple of floats ``(r, g, b, a)``, where each channel (red, green, blue,
+        alpha) can assume values between 0 and 1.
+    """
+    if isinstance(c, tuple) and len(c) == 2:
+        if alpha is None:
+            c, alpha = c
+        else:
+            c = c[0]
+    # Special-case nth color syntax because it should not be cached.
+    if _is_nth_color(c):
+        prop_cycler = mpl.rcParams['axes.prop_cycle']
+        colors = prop_cycler.by_key().get('color', ['k'])
+        c = colors[int(c[1:]) % len(colors)]
+    try:
+        rgba = _colors_full_map.cache[c, alpha]
+    except (KeyError, TypeError):  # Not in cache, or unhashable.
+        rgba = None
+    if rgba is None:  # Suppress exception chaining of cache lookup failure.
+        rgba = _to_rgba_no_colorcycle(c, alpha)
         try:
-            nc = len(c)
+            _colors_full_map.cache[c, alpha] = rgba
         except TypeError:
-            raise ValueError(
-                "Cannot convert argument type %s to rgba array" % type(c))
-        try:
-            if nc == 0 or c.lower() == 'none':
-                return np.zeros((0, 4), dtype=np.float)
-        except AttributeError:
             pass
+    return rgba
+
+
+def _to_rgba_no_colorcycle(c, alpha=None):
+    """
+    Convert *c* to an RGBA color, with no support for color-cycle syntax.
+
+    If *alpha* is given, force the alpha value of the returned RGBA tuple
+    to *alpha*. Otherwise, the alpha value from *c* is used, if it has alpha
+    information, or defaults to 1.
+
+    *alpha* is ignored for the color value ``"none"`` (case-insensitive),
+    which always maps to ``(0, 0, 0, 0)``.
+    """
+    if alpha is not None and not 0 <= alpha <= 1:
+        raise ValueError("'alpha' must be between 0 and 1, inclusive")
+    orig_c = c
+    if c is np.ma.masked:
+        return (0., 0., 0., 0.)
+    if isinstance(c, str):
+        if c.lower() == "none":
+            return (0., 0., 0., 0.)
+        # Named color.
+        try:
+            # This may turn c into a non-string, so we check again below.
+            c = _colors_full_map[c]
+        except KeyError:
+            if len(c) != 1:
+                try:
+                    c = _colors_full_map[c.lower()]
+                except KeyError:
+                    pass
+    if isinstance(c, str):
+        if re.fullmatch("#[a-fA-F0-9]+", c):
+            if len(c) == 7:  # #rrggbb hex format.
+                return (*[n / 0xff for n in bytes.fromhex(c[1:])],
+                        alpha if alpha is not None else 1.)
+            elif len(c) == 4:  # #rgb hex format, shorthand for #rrggbb.
+                return (*[int(n, 16) / 0xf for n in c[1:]],
+                        alpha if alpha is not None else 1.)
+            elif len(c) == 9:  # #rrggbbaa hex format.
+                color = [n / 0xff for n in bytes.fromhex(c[1:])]
+                if alpha is not None:
+                    color[-1] = alpha
+                return tuple(color)
+            elif len(c) == 5:  # #rgba hex format, shorthand for #rrggbbaa.
+                color = [int(n, 16) / 0xf for n in c[1:]]
+                if alpha is not None:
+                    color[-1] = alpha
+                return tuple(color)
+            else:
+                raise ValueError(f"Invalid hex color specifier: {orig_c!r}")
+        # string gray.
         try:
-            # Single value? Put it in an array with a single row.
-            return np.array([self.to_rgba(c, alpha)], dtype=np.float)
+            c = float(c)
         except ValueError:
-            if isinstance(c, np.ndarray):
-                if c.ndim != 2 and c.dtype.kind not in 'SU':
-                    raise ValueError("Color array must be two-dimensional")
-                if (c.ndim == 2 and c.shape[1] == 4 and c.dtype.kind == 'f'):
-                    if (c.ravel() > 1).any() or (c.ravel() < 0).any():
-                        raise ValueError(
-                            "number in rgba sequence is outside 0-1 range")
-                    result = np.asarray(c, np.float)
-                    if alpha is not None:
-                        if alpha > 1 or alpha < 0:
-                            raise ValueError("alpha must be in 0-1 range")
-                        result[:, 3] = alpha
-                    return result
-                    # This alpha operation above is new, and depends
-                    # on higher levels to refrain from setting alpha
-                    # to values other than None unless there is
-                    # intent to override any existing alpha values.
-
-            # It must be some other sequence of color specs.
-            result = np.zeros((nc, 4), dtype=np.float)
-            for i, cc in enumerate(c):
-                result[i] = self.to_rgba(cc, alpha)
-            return result
+            pass
+        else:
+            if not (0 <= c <= 1):
+                raise ValueError(
+                    f"Invalid string grayscale value {orig_c!r}. "
+                    f"Value must be within 0-1 range")
+            return c, c, c, alpha if alpha is not None else 1.
+        raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
+    # turn 2-D array into 1-D array
+    if isinstance(c, np.ndarray):
+        if c.ndim == 2 and c.shape[0] == 1:
+            c = c.reshape(-1)
+    # tuple color.
+    if not np.iterable(c):
+        raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
+    if len(c) not in [3, 4]:
+        raise ValueError("RGBA sequence should have length 3 or 4")
+    if not all(isinstance(x, Real) for x in c):
+        # Checks that don't work: `map(float, ...)`, `np.array(..., float)` and
+        # `np.array(...).astype(float)` would all convert "0.5" to 0.5.
+        raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
+    # Return a tuple to prevent the cached value from being modified.
+    c = tuple(map(float, c))
+    if len(c) == 3 and alpha is None:
+        alpha = 1
+    if alpha is not None:
+        c = c[:3] + (alpha,)
+    if any(elem < 0 or elem > 1 for elem in c):
+        raise ValueError("RGBA values should be within 0-1 range")
+    return c
+
+
+def to_rgba_array(c, alpha=None):
+    """
+    Convert *c* to a (n, 4) array of RGBA colors.
+
+    Parameters
+    ----------
+    c : :mpltype:`color` or list of :mpltype:`color` or RGB(A) array
+        If *c* is a masked array, an `~numpy.ndarray` is returned with a
+        (0, 0, 0, 0) row for each masked value or row in *c*.
+
+    alpha : float or sequence of floats, optional
+        If *alpha* is given, force the alpha value of the returned RGBA tuple
+        to *alpha*.
+
+        If None, the alpha value from *c* is used. If *c* does not have an
+        alpha channel, then alpha defaults to 1.
+
+        *alpha* is ignored for the color value ``"none"`` (case-insensitive),
+        which always maps to ``(0, 0, 0, 0)``.
+
+        If *alpha* is a sequence and *c* is a single color, *c* will be
+        repeated to match the length of *alpha*.
+
+    Returns
+    -------
+    array
+        (n, 4) array of RGBA colors,  where each channel (red, green, blue,
+        alpha) can assume values between 0 and 1.
+    """
+    if isinstance(c, tuple) and len(c) == 2 and isinstance(c[1], Real):
+        if alpha is None:
+            c, alpha = c
+        else:
+            c = c[0]
+    # Special-case inputs that are already arrays, for performance.  (If the
+    # array has the wrong kind or shape, raise the error during one-at-a-time
+    # conversion.)
+    if np.iterable(alpha):
+        alpha = np.asarray(alpha).ravel()
+    if (isinstance(c, np.ndarray) and c.dtype.kind in "if"
+            and c.ndim == 2 and c.shape[1] in [3, 4]):
+        mask = c.mask.any(axis=1) if np.ma.is_masked(c) else None
+        c = np.ma.getdata(c)
+        if np.iterable(alpha):
+            if c.shape[0] == 1 and alpha.shape[0] > 1:
+                c = np.tile(c, (alpha.shape[0], 1))
+            elif c.shape[0] != alpha.shape[0]:
+                raise ValueError("The number of colors must match the number"
+                                 " of alpha values if there are more than one"
+                                 " of each.")
+        if c.shape[1] == 3:
+            result = np.column_stack([c, np.zeros(len(c))])
+            result[:, -1] = alpha if alpha is not None else 1.
+        elif c.shape[1] == 4:
+            result = c.copy()
+            if alpha is not None:
+                result[:, -1] = alpha
+        if mask is not None:
+            result[mask] = 0
+        if np.any((result < 0) | (result > 1)):
+            raise ValueError("RGBA values should be within 0-1 range")
+        return result
+    # Handle single values.
+    # Note that this occurs *after* handling inputs that are already arrays, as
+    # `to_rgba(c, alpha)` (below) is expensive for such inputs, due to the need
+    # to format the array in the ValueError message(!).
+    if cbook._str_lower_equal(c, "none"):
+        return np.zeros((0, 4), float)
+    try:
+        if np.iterable(alpha):
+            return np.array([to_rgba(c, a) for a in alpha], float)
+        else:
+            return np.array([to_rgba(c, alpha)], float)
+    except TypeError:
+        pass
+    except ValueError as e:
+        if e.args == ("'alpha' must be between 0 and 1, inclusive", ):
+            # ValueError is from _to_rgba_no_colorcycle().
+            raise e
+    if isinstance(c, str):
+        raise ValueError(f"{c!r} is not a valid color value.")
+
+    if len(c) == 0:
+        return np.zeros((0, 4), float)
+
+    # Quick path if the whole sequence can be directly converted to a numpy
+    # array in one shot.
+    if isinstance(c, Sequence):
+        lens = {len(cc) if isinstance(cc, (list, tuple)) else -1 for cc in c}
+        if lens == {3}:
+            rgba = np.column_stack([c, np.ones(len(c))])
+        elif lens == {4}:
+            rgba = np.array(c)
+        else:
+            rgba = np.array([to_rgba(cc) for cc in c])
+    else:
+        rgba = np.array([to_rgba(cc) for cc in c])
+
+    if alpha is not None:
+        rgba[:, 3] = alpha
+        if isinstance(c, Sequence):
+            # ensure that an explicit alpha does not overwrite full transparency
+            # for "none"
+            none_mask = [cbook._str_equal(cc, "none") for cc in c]
+            rgba[:, 3][none_mask] = 0
+    return rgba
+
+
+def to_rgb(c):
+    """
+    Convert the :mpltype:`color` *c* to an RGB color tuple.
+
+    If c has an alpha channel value specified, that is silently dropped.
+    """
+    return to_rgba(c)[:3]
+
+
+def to_hex(c, keep_alpha=False):
+    """
+    Convert *c* to a hex color.
+
+    Parameters
+    ----------
+    c : :mpltype:`color` or `numpy.ma.masked`
+
+    keep_alpha : bool, default: False
+      If False, use the ``#rrggbb`` format, otherwise use ``#rrggbbaa``.
+
+    Returns
+    -------
+    str
+      ``#rrggbb`` or ``#rrggbbaa`` hex color string
+    """
+    c = to_rgba(c)
+    if not keep_alpha:
+        c = c[:3]
+    return "#" + "".join(format(round(val * 255), "02x") for val in c)
+
+
+### Backwards-compatible color-conversion API
+
+
+cnames = CSS4_COLORS
+hexColorPattern = re.compile(r"\A#[a-fA-F0-9]{6}\Z")
+rgb2hex = to_hex
+hex2color = to_rgb
+
+
+class ColorConverter:
+    """
+    A class only kept for backwards compatibility.
+
+    Its functionality is entirely provided by module-level functions.
+    """
+    colors = _colors_full_map
+    cache = _colors_full_map.cache
+    to_rgb = staticmethod(to_rgb)
+    to_rgba = staticmethod(to_rgba)
+    to_rgba_array = staticmethod(to_rgba_array)
 
 
 colorConverter = ColorConverter()
 
 
-def makeMappingArray(N, data, gamma=1.0):
-    """Create an *N* -element 1-d lookup table
+### End of backwards-compatible color-conversion API
+
+
+def _create_lookup_table(N, data, gamma=1.0):
+    r"""
+    Create an *N* -element 1D lookup table.
+
+    This assumes a mapping :math:`f : [0, 1] \rightarrow [0, 1]`. The returned
+    data is an array of N values :math:`y = f(x)` where x is sampled from
+    [0, 1].
+
+    By default (*gamma* = 1) x is equidistantly sampled from [0, 1]. The
+    *gamma* correction factor :math:`\gamma` distorts this equidistant
+    sampling by :math:`x \rightarrow x^\gamma`.
+
+    Parameters
+    ----------
+    N : int
+        The number of elements of the created lookup table; at least 1.
+
+    data : (M, 3) array-like or callable
+        Defines the mapping :math:`f`.
+
+        If a (M, 3) array-like, the rows define values (x, y0, y1).  The x
+        values must start with x=0, end with x=1, and all x values be in
+        increasing order.
+
+        A value between :math:`x_i` and :math:`x_{i+1}` is mapped to the range
+        :math:`y^1_{i-1} \ldots y^0_i` by linear interpolation.
+
+        For the simple case of a y-continuous mapping, y0 and y1 are identical.
+
+        The two values of y are to allow for discontinuous mapping functions.
+        E.g. a sawtooth with a period of 0.2 and an amplitude of 1 would be::
+
+            [(0, 1, 0), (0.2, 1, 0), (0.4, 1, 0), ..., [(1, 1, 0)]
 
-    *data* represented by a list of x,y0,y1 mapping correspondences.
-    Each element in this list represents how a value between 0 and 1
-    (inclusive) represented by x is mapped to a corresponding value
-    between 0 and 1 (inclusive). The two values of y are to allow
-    for discontinuous mapping functions (say as might be found in a
-    sawtooth) where y0 represents the value of y for values of x
-    <= to that given, and y1 is the value to be used for x > than
-    that given). The list must start with x=0, end with x=1, and
-    all values of x must be in increasing order. Values between
-    the given mapping points are determined by simple linear interpolation.
+        In the special case of ``N == 1``, by convention the returned value
+        is y0 for x == 1.
 
-    Alternatively, data can be a function mapping values between 0 - 1
-    to 0 - 1.
+        If *data* is a callable, it must accept and return numpy arrays::
 
-    The function returns an array "result" where ``result[x*(N-1)]``
-    gives the closest value for values of x between 0 and 1.
+           data(x : ndarray) -> ndarray
+
+        and map values between 0 - 1 to 0 - 1.
+
+    gamma : float
+        Gamma correction factor for input distribution x of the mapping.
+
+        See also https://en.wikipedia.org/wiki/Gamma_correction.
+
+    Returns
+    -------
+    array
+        The lookup table where ``lut[x * (N-1)]`` gives the closest value
+        for values of x between 0 and 1.
+
+    Notes
+    -----
+    This function is internally used for `.LinearSegmentedColormap`.
     """
 
-    if six.callable(data):
+    if callable(data):
         xind = np.linspace(0, 1, N) ** gamma
-        lut = np.clip(np.array(data(xind), dtype=np.float), 0, 1)
+        lut = np.clip(np.array(data(xind), dtype=float), 0, 1)
         return lut
 
     try:
         adata = np.array(data)
-    except:
-        raise TypeError("data must be convertable to an array")
-    shape = adata.shape
-    if len(shape) != 2 and shape[1] != 3:
-        raise ValueError("data must be nx3 format")
+    except Exception as err:
+        raise TypeError("data must be convertible to an array") from err
+    _api.check_shape((None, 3), data=adata)
 
     x = adata[:, 0]
     y0 = adata[:, 1]
@@ -466,184 +678,254 @@ def makeMappingArray(N, data, gamma=1.0):
 
     if x[0] != 0. or x[-1] != 1.0:
         raise ValueError(
-            "data mapping points must start with x=0. and end with x=1")
-    if np.sometrue(np.sort(x) - x):
-        raise ValueError(
-            "data mapping points must have x in increasing order")
+            "data mapping points must start with x=0 and end with x=1")
+    if (np.diff(x) < 0).any():
+        raise ValueError("data mapping points must have x in increasing order")
     # begin generation of lookup table
-    x = x * (N - 1)
-    lut = np.zeros((N,), np.float)
-    xind = (N - 1) * np.linspace(0, 1, N) ** gamma
-    ind = np.searchsorted(x, xind)[1:-1]
-
-    lut[1:-1] = (((xind[1:-1] - x[ind - 1]) / (x[ind] - x[ind - 1])) *
-                 (y0[ind] - y1[ind - 1]) + y1[ind - 1])
-    lut[0] = y1[0]
-    lut[-1] = y0[-1]
+    if N == 1:
+        # convention: use the y = f(x=1) value for a 1-element lookup table
+        lut = np.array(y0[-1])
+    else:
+        x = x * (N - 1)
+        xind = (N - 1) * np.linspace(0, 1, N) ** gamma
+        ind = np.searchsorted(x, xind)[1:-1]
+
+        distance = (xind[1:-1] - x[ind - 1]) / (x[ind] - x[ind - 1])
+        lut = np.concatenate([
+            [y1[0]],
+            distance * (y0[ind] - y1[ind - 1]) + y1[ind - 1],
+            [y0[-1]],
+        ])
     # ensure that the lut is confined to values between 0 and 1 by clipping it
-    np.clip(lut, 0.0, 1.0)
-    #lut = where(lut > 1., 1., lut)
-    #lut = where(lut < 0., 0., lut)
-    return lut
+    return np.clip(lut, 0.0, 1.0)
 
 
-class Colormap(object):
+class Colormap:
     """
     Baseclass for all scalar to RGBA mappings.
 
-    Typically Colormap instances are used to convert data values (floats) from
-    the interval ``[0, 1]`` to the RGBA color that the respective Colormap
-    represents. For scaling of data into the ``[0, 1]`` interval see
-    :class:`matplotlib.colors.Normalize`. It is worth noting that
-    :class:`matplotlib.cm.ScalarMappable` subclasses make heavy use of this
-    ``data->normalize->map-to-color`` processing chain.
-
+    Typically, Colormap instances are used to convert data values (floats)
+    from the interval ``[0, 1]`` to the RGBA color that the respective
+    Colormap represents. For scaling of data into the ``[0, 1]`` interval see
+    `matplotlib.colors.Normalize`. Subclasses of `matplotlib.cm.ScalarMappable`
+    make heavy use of this ``data -> normalize -> map-to-color`` processing
+    chain.
     """
-    def __init__(self, name, N=256):
-        r"""
+
+    def __init__(self, name, N=256, *, bad=None, under=None, over=None):
+        """
         Parameters
         ----------
         name : str
             The name of the colormap.
         N : int
-            The number of rgb quantization levels.
+            The number of RGB quantization levels.
+        bad : :mpltype:`color`, default: transparent
+            The color for invalid values (NaN or masked).
+
+            .. versionadded:: 3.11
+
+        under : :mpltype:`color`, default: color of the lowest value
+            The color for low out-of-range values.
+
+            .. versionadded:: 3.11
 
+        over : :mpltype:`color`, default: color of the highest value
+            The color for high out-of-range values.
+
+            .. versionadded:: 3.11
         """
         self.name = name
         self.N = int(N)  # ensure that N is always int
-        self._rgba_bad = (0.0, 0.0, 0.0, 0.0)  # If bad, don't paint anything.
-        self._rgba_under = None
-        self._rgba_over = None
+        self._rgba_bad = (0.0, 0.0, 0.0, 0.0) if bad is None else to_rgba(bad)
+        self._rgba_under = None if under is None else to_rgba(under)
+        self._rgba_over = None if over is None else to_rgba(over)
         self._i_under = self.N
         self._i_over = self.N + 1
         self._i_bad = self.N + 2
         self._isinit = False
-
+        self.n_variates = 1
         #: When this colormap exists on a scalar mappable and colorbar_extend
         #: is not False, colorbar creation will pick up ``colorbar_extend`` as
         #: the default value for the ``extend`` keyword in the
-        #: :class:`matplotlib.colorbar.Colorbar` constructor.
+        #: `matplotlib.colorbar.Colorbar` constructor.
         self.colorbar_extend = False
 
     def __call__(self, X, alpha=None, bytes=False):
-        """
+        r"""
         Parameters
         ----------
-        X : scalar, ndarray
+        X : float or int or array-like
             The data value(s) to convert to RGBA.
-            For floats, X should be in the interval ``[0.0, 1.0]`` to
+            For floats, *X* should be in the interval ``[0.0, 1.0]`` to
             return the RGBA values ``X*100`` percent along the Colormap line.
-            For integers, X should be in the interval ``[0, Colormap.N)`` to
+            For integers, *X* should be in the interval ``[0, Colormap.N)`` to
             return RGBA values *indexed* from the Colormap with index ``X``.
-        alpha : float, None
-            Alpha must be a scalar between 0 and 1, or None.
-        bytes : bool
+        alpha : float or array-like or None
+            Alpha must be a scalar between 0 and 1, a sequence of such
+            floats with shape matching X, or None.
+        bytes : bool, default: False
             If False (default), the returned RGBA values will be floats in the
-            interval ``[0, 1]`` otherwise they will be uint8s in the interval
-            ``[0, 255]``.
+            interval ``[0, 1]`` otherwise they will be `numpy.uint8`\s in the
+            interval ``[0, 255]``.
 
         Returns
         -------
-        Tuple of RGBA values if X is scalar, othewise an array of
+        Tuple of RGBA values if X is scalar, otherwise an array of
         RGBA values with a shape of ``X.shape + (4, )``.
+        """
+        rgba, mask = self._get_rgba_and_mask(X, alpha=alpha, bytes=bytes)
+        if not np.iterable(X):
+            rgba = tuple(rgba)
+        return rgba
+
+    def _get_rgba_and_mask(self, X, alpha=None, bytes=False):
+        r"""
+        Parameters
+        ----------
+        X : float or int or array-like
+            The data value(s) to convert to RGBA.
+            For floats, *X* should be in the interval ``[0.0, 1.0]`` to
+            return the RGBA values ``X*100`` percent along the Colormap line.
+            For integers, *X* should be in the interval ``[0, Colormap.N)`` to
+            return RGBA values *indexed* from the Colormap with index ``X``.
+        alpha : float or array-like or None
+            Alpha must be a scalar between 0 and 1, a sequence of such
+            floats with shape matching X, or None.
+        bytes : bool, default: False
+            If False (default), the returned RGBA values will be floats in the
+            interval ``[0, 1]`` otherwise they will be `numpy.uint8`\s in the
+            interval ``[0, 255]``.
 
+        Returns
+        -------
+        colors : np.ndarray
+            Array of RGBA values with a shape of ``X.shape + (4, )``.
+        mask : np.ndarray
+            Boolean array with True where the input is ``np.nan`` or masked.
         """
-        # See class docstring for arg/kwarg documentation.
         if not self._isinit:
             self._init()
-        mask_bad = None
-        if not cbook.iterable(X):
-            vtype = 'scalar'
-            xa = np.array([X])
-        else:
-            vtype = 'array'
-            xma = ma.array(X, copy=True)  # Copy here to avoid side effects.
-            mask_bad = xma.mask           # Mask will be used below.
-            xa = xma.filled()             # Fill to avoid infs, etc.
-            del xma
-
-        # Calculations with native byteorder are faster, and avoid a
-        # bug that otherwise can occur with putmask when the last
-        # argument is a numpy scalar.
-        if not xa.dtype.isnative:
-            xa = xa.byteswap().newbyteorder()
 
+        xa = np.array(X, copy=True)
+        if not xa.dtype.isnative:
+            # Native byteorder is faster.
+            xa = xa.byteswap().view(xa.dtype.newbyteorder())
         if xa.dtype.kind == "f":
-            # Treat 1.0 as slightly less than 1.
-            vals = np.array([1, 0], dtype=xa.dtype)
-            almost_one = np.nextafter(*vals)
-            cbook._putmask(xa, xa == 1.0, almost_one)
-            # The following clip is fast, and prevents possible
-            # conversion of large positive values to negative integers.
-
             xa *= self.N
-            np.clip(xa, -1, self.N, out=xa)
-
-            # ensure that all 'under' values will still have negative
-            # value after casting to int
-            cbook._putmask(xa, xa < 0.0, -1)
+            # xa == 1 (== N after multiplication) is not out of range.
+            xa[xa == self.N] = self.N - 1
+        # Pre-compute the masks before casting to int (which can truncate
+        # negative values to zero or wrap large floats to negative ints).
+        mask_under = xa < 0
+        mask_over = xa >= self.N
+        # If input was masked, get the bad mask from it; else mask out nans.
+        mask_bad = X.mask if np.ma.is_masked(X) else np.isnan(xa)
+        with np.errstate(invalid="ignore"):
+            # We need this cast for unsigned ints as well as floats
             xa = xa.astype(int)
-        # Set the over-range indices before the under-range;
-        # otherwise the under-range values get converted to over-range.
-        cbook._putmask(xa, xa > self.N - 1, self._i_over)
-        cbook._putmask(xa, xa < 0, self._i_under)
-        if mask_bad is not None:
-            if mask_bad.shape == xa.shape:
-                cbook._putmask(xa, mask_bad, self._i_bad)
-            elif mask_bad:
-                xa.fill(self._i_bad)
+        xa[mask_under] = self._i_under
+        xa[mask_over] = self._i_over
+        xa[mask_bad] = self._i_bad
+
+        lut = self._lut
         if bytes:
-            lut = (self._lut * 255).astype(np.uint8)
-        else:
-            lut = self._lut.copy()  # Don't let alpha modify original _lut.
+            lut = (lut * 255).astype(np.uint8)
+
+        rgba = lut.take(xa, axis=0, mode='clip')
 
         if alpha is not None:
-            alpha = min(alpha, 1.0)  # alpha must be between 0 and 1
-            alpha = max(alpha, 0.0)
+            alpha = np.clip(alpha, 0, 1)
             if bytes:
-                alpha = int(alpha * 255)
+                alpha *= 255  # Will be cast to uint8 upon assignment.
+            if alpha.shape not in [(), xa.shape]:
+                raise ValueError(
+                    f"alpha is array-like but its shape {alpha.shape} does "
+                    f"not match that of X {xa.shape}")
+            rgba[..., -1] = alpha
+            # If the "bad" color is all zeros, then ignore alpha input.
             if (lut[-1] == 0).all():
-                lut[:-1, -1] = alpha
-                # All zeros is taken as a flag for the default bad
-                # color, which is no color--fully transparent.  We
-                # don't want to override this.
-            else:
-                lut[:, -1] = alpha
-                # If the bad value is set to have a color, then we
-                # override its alpha just as for any other value.
-
-        rgba = np.empty(shape=xa.shape + (4,), dtype=lut.dtype)
-        lut.take(xa, axis=0, mode='clip', out=rgba)
-                    #  twice as fast as lut[xa];
-                    #  using the clip or wrap mode and providing an
-                    #  output array speeds it up a little more.
-        if vtype == 'scalar':
-            rgba = tuple(rgba[0, :])
-        return rgba
+                rgba[mask_bad] = (0, 0, 0, 0)
+
+        return rgba, mask_bad
+
+    def __copy__(self):
+        cls = self.__class__
+        cmapobject = cls.__new__(cls)
+        cmapobject.__dict__.update(self.__dict__)
+        if self._isinit:
+            cmapobject._lut = np.copy(self._lut)
+        return cmapobject
+
+    def __eq__(self, other):
+        if (not isinstance(other, Colormap) or
+                self.colorbar_extend != other.colorbar_extend):
+            return False
+        # To compare lookup tables the Colormaps have to be initialized
+        if not self._isinit:
+            self._init()
+        if not other._isinit:
+            other._init()
+        return np.array_equal(self._lut, other._lut)
+
+    def get_bad(self):
+        """Get the color for masked values."""
+        if not self._isinit:
+            self._init()
+        return np.array(self._lut[self._i_bad])
 
     def set_bad(self, color='k', alpha=None):
-        """Set color to be used for masked values.
-        """
-        self._rgba_bad = colorConverter.to_rgba(color, alpha)
+        """Set the color for masked values."""
+        self._rgba_bad = to_rgba(color, alpha)
         if self._isinit:
             self._set_extremes()
 
+    def get_under(self):
+        """Get the color for low out-of-range values."""
+        if not self._isinit:
+            self._init()
+        return np.array(self._lut[self._i_under])
+
     def set_under(self, color='k', alpha=None):
-        """Set color to be used for low out-of-range values.
-           Requires norm.clip = False
-        """
-        self._rgba_under = colorConverter.to_rgba(color, alpha)
+        """Set the color for low out-of-range values."""
+        self._rgba_under = to_rgba(color, alpha)
         if self._isinit:
             self._set_extremes()
 
+    def get_over(self):
+        """Get the color for high out-of-range values."""
+        if not self._isinit:
+            self._init()
+        return np.array(self._lut[self._i_over])
+
     def set_over(self, color='k', alpha=None):
-        """Set color to be used for high out-of-range values.
-           Requires norm.clip = False
-        """
-        self._rgba_over = colorConverter.to_rgba(color, alpha)
+        """Set the color for high out-of-range values."""
+        self._rgba_over = to_rgba(color, alpha)
         if self._isinit:
             self._set_extremes()
 
+    def set_extremes(self, *, bad=None, under=None, over=None):
+        """
+        Set the colors for masked (*bad*) values and, when ``norm.clip =
+        False``, low (*under*) and high (*over*) out-of-range values.
+        """
+        if bad is not None:
+            self.set_bad(bad)
+        if under is not None:
+            self.set_under(under)
+        if over is not None:
+            self.set_over(over)
+
+    def with_extremes(self, *, bad=None, under=None, over=None):
+        """
+        Return a copy of the colormap, for which the colors for masked (*bad*)
+        values and, when ``norm.clip = False``, low (*under*) and high (*over*)
+        out-of-range values, have been set accordingly.
+        """
+        new_cm = self.copy()
+        new_cm.set_extremes(bad=bad, under=under, over=over)
+        return new_cm
+
     def _set_extremes(self):
         if self._rgba_under:
             self._lut[self._i_under] = self._rgba_under
@@ -655,221 +937,1427 @@ def _set_extremes(self):
             self._lut[self._i_over] = self._lut[self.N - 1]
         self._lut[self._i_bad] = self._rgba_bad
 
+    def with_alpha(self, alpha):
+        """
+        Return a copy of the colormap with a new uniform transparency.
+
+        Parameters
+        ----------
+        alpha : float
+             The alpha blending value, between 0 (transparent) and 1 (opaque).
+        """
+        if not isinstance(alpha, Real):
+            raise TypeError(f"'alpha' must be numeric or None, not {type(alpha)}")
+        if not 0 <= alpha <= 1:
+            ValueError("'alpha' must be between 0 and 1, inclusive")
+        new_cm = self.copy()
+        if not new_cm._isinit:
+            new_cm._init()
+        new_cm._lut[:, 3] = alpha
+        return new_cm
+
     def _init(self):
-        """Generate the lookup table, self._lut"""
+        """Generate the lookup table, ``self._lut``."""
         raise NotImplementedError("Abstract class only")
 
     def is_gray(self):
+        """Return whether the colormap is grayscale."""
         if not self._isinit:
             self._init()
-        return (np.alltrue(self._lut[:, 0] == self._lut[:, 1]) and
-                np.alltrue(self._lut[:, 0] == self._lut[:, 2]))
+        return (np.all(self._lut[:, 0] == self._lut[:, 1]) and
+                np.all(self._lut[:, 0] == self._lut[:, 2]))
+
+    def resampled(self, lutsize):
+        """Return a new colormap with *lutsize* entries."""
+        if hasattr(self, '_resample'):
+            _api.warn_external(
+                "The ability to resample a color map is now public API "
+                f"However the class {type(self)} still only implements "
+                "the previous private _resample method.  Please update "
+                "your class."
+            )
+            return self._resample(lutsize)
+
+        raise NotImplementedError()
+
+    def reversed(self, name=None):
+        """
+        Return a reversed instance of the Colormap.
+
+        .. note:: This function is not implemented for the base class.
+
+        Parameters
+        ----------
+        name : str, optional
+            The name for the reversed colormap. If None, the
+            name is set to ``self.name + "_r"``.
+
+        See Also
+        --------
+        LinearSegmentedColormap.reversed
+        ListedColormap.reversed
+        """
+        raise NotImplementedError()
+
+    def _repr_png_(self):
+        """Generate a PNG representation of the Colormap."""
+        X = np.tile(np.linspace(0, 1, _REPR_PNG_SIZE[0]),
+                    (_REPR_PNG_SIZE[1], 1))
+        pixels = self(X, bytes=True)
+        png_bytes = io.BytesIO()
+        title = self.name + ' colormap'
+        author = f'Matplotlib v{mpl.__version__}, https://matplotlib.org'
+        pnginfo = PngInfo()
+        pnginfo.add_text('Title', title)
+        pnginfo.add_text('Description', title)
+        pnginfo.add_text('Author', author)
+        pnginfo.add_text('Software', author)
+        Image.fromarray(pixels).save(png_bytes, format='png', pnginfo=pnginfo)
+        return png_bytes.getvalue()
+
+    def _repr_html_(self):
+        """Generate an HTML representation of the Colormap."""
+        png_bytes = self._repr_png_()
+        png_base64 = base64.b64encode(png_bytes).decode('ascii')
+        def color_block(color):
+            hex_color = to_hex(color, keep_alpha=True)
+            return (f'<div title="{hex_color}" '
+                    'style="display: inline-block; '
+                    'width: 1em; height: 1em; '
+                    'margin: 0; '
+                    'vertical-align: middle; '
+                    'border: 1px solid #555; '
+                    f'background-color: {hex_color};"></div>')
+
+        return ('<div style="vertical-align: middle;">'
+                f'<strong>{self.name}</strong> '
+                '</div>'
+                '<div class="cmap"><img '
+                f'alt="{self.name} colormap" '
+                f'title="{self.name}" '
+                'style="border: 1px solid #555;" '
+                f'src="data:image/png;base64,{png_base64}"></div>'
+                '<div style="vertical-align: middle; '
+                f'max-width: {_REPR_PNG_SIZE[0]+2}px; '
+                'display: flex; justify-content: space-between;">'
+                '<div style="float: left;">'
+                f'{color_block(self.get_under())} under'
+                '</div>'
+                '<div style="margin: 0 auto; display: inline-block;">'
+                f'bad {color_block(self.get_bad())}'
+                '</div>'
+                '<div style="float: right;">'
+                f'over {color_block(self.get_over())}'
+                '</div>'
+                '</div>')
+
+    def copy(self):
+        """Return a copy of the colormap."""
+        return self.__copy__()
 
 
 class LinearSegmentedColormap(Colormap):
-    """Colormap objects based on lookup tables using linear segments.
+    """
+    Colormap objects based on lookup tables using linear segments.
 
     The lookup table is generated using linear interpolation for each
     primary color, with the 0-1 domain divided into any number of
     segments.
     """
-    def __init__(self, name, segmentdata, N=256, gamma=1.0):
-        """Create color map from linear mapping segments
 
-        segmentdata argument is a dictionary with a red, green and blue
-        entries. Each entry should be a list of *x*, *y0*, *y1* tuples,
-        forming rows in a table. Entries for alpha are optional.
+    def __init__(self, name, segmentdata, N=256, gamma=1.0, *,
+                 bad=None, under=None, over=None):
+        """
+        Create colormap from linear mapping segments.
 
-        Example: suppose you want red to increase from 0 to 1 over
-        the bottom half, green to do the same over the middle half,
-        and blue over the top half.  Then you would use::
+        Parameters
+        ----------
+        name : str
+            The name of the colormap.
+        segmentdata : dict
+            A dictionary with keys "red", "green", "blue" for the color channels.
+            Each entry should be a list of *x*, *y0*, *y1* tuples, forming rows
+            in a table. Entries for alpha are optional.
+
+            Example: suppose you want red to increase from 0 to 1 over
+            the bottom half, green to do the same over the middle half,
+            and blue over the top half.  Then you would use::
+
+                {
+                    'red':   [(0.0,  0.0, 0.0),
+                              (0.5,  1.0, 1.0),
+                              (1.0,  1.0, 1.0)],
+                    'green': [(0.0,  0.0, 0.0),
+                              (0.25, 0.0, 0.0),
+                              (0.75, 1.0, 1.0),
+                              (1.0,  1.0, 1.0)],
+                    'blue':  [(0.0,  0.0, 0.0),
+                              (0.5,  0.0, 0.0),
+                              (1.0,  1.0, 1.0)]
+                }
 
-            cdict = {'red':   [(0.0,  0.0, 0.0),
-                               (0.5,  1.0, 1.0),
-                               (1.0,  1.0, 1.0)],
+            Each row in the table for a given color is a sequence of
+            *x*, *y0*, *y1* tuples.  In each sequence, *x* must increase
+            monotonically from 0 to 1.  For any input value *z* falling
+            between *x[i]* and *x[i+1]*, the output value of a given color
+            will be linearly interpolated between *y1[i]* and *y0[i+1]*::
 
-                     'green': [(0.0,  0.0, 0.0),
-                               (0.25, 0.0, 0.0),
-                               (0.75, 1.0, 1.0),
-                               (1.0,  1.0, 1.0)],
+                row i:   x  y0  y1
+                               /
+                              /
+                row i+1: x  y0  y1
 
-                     'blue':  [(0.0,  0.0, 0.0),
-                               (0.5,  0.0, 0.0),
-                               (1.0,  1.0, 1.0)]}
+            Hence, y0 in the first row and y1 in the last row are never used.
 
-        Each row in the table for a given color is a sequence of
-        *x*, *y0*, *y1* tuples.  In each sequence, *x* must increase
-        monotonically from 0 to 1.  For any input value *z* falling
-        between *x[i]* and *x[i+1]*, the output value of a given color
-        will be linearly interpolated between *y1[i]* and *y0[i+1]*::
+        N : int
+            The number of RGB quantization levels.
+        gamma : float
+            Gamma correction factor for input distribution x of the mapping.
+            See also https://en.wikipedia.org/wiki/Gamma_correction.
+        bad : :mpltype:`color`, default: transparent
+            The color for invalid values (NaN or masked).
 
-            row i:   x  y0  y1
-                           /
-                          /
-            row i+1: x  y0  y1
+            .. versionadded:: 3.11
 
-        Hence y0 in the first row and y1 in the last row are never used.
+        under : :mpltype:`color`, default: color of the lowest value
+            The color for low out-of-range values.
 
+            .. versionadded:: 3.11
 
-        .. seealso::
+        over : :mpltype:`color`, default: color of the highest value
+            The color for high out-of-range values.
 
-               :meth:`LinearSegmentedColormap.from_list`
-               Static method; factory function for generating a
-               smoothly-varying LinearSegmentedColormap.
+            .. versionadded:: 3.11
 
-               :func:`makeMappingArray`
-               For information about making a mapping array.
+        See Also
+        --------
+        LinearSegmentedColormap.from_list
+            Static method; factory function for generating a smoothly-varying
+            LinearSegmentedColormap.
         """
         # True only if all colors in map are identical; needed for contouring.
         self.monochrome = False
-        Colormap.__init__(self, name, N)
+        super().__init__(name, N, bad=bad, under=under, over=over)
         self._segmentdata = segmentdata
         self._gamma = gamma
 
     def _init(self):
-        self._lut = np.ones((self.N + 3, 4), np.float)
-        self._lut[:-3, 0] = makeMappingArray(
+        self._lut = np.ones((self.N + 3, 4), float)
+        self._lut[:-3, 0] = _create_lookup_table(
             self.N, self._segmentdata['red'], self._gamma)
-        self._lut[:-3, 1] = makeMappingArray(
+        self._lut[:-3, 1] = _create_lookup_table(
             self.N, self._segmentdata['green'], self._gamma)
-        self._lut[:-3, 2] = makeMappingArray(
+        self._lut[:-3, 2] = _create_lookup_table(
             self.N, self._segmentdata['blue'], self._gamma)
         if 'alpha' in self._segmentdata:
-            self._lut[:-3, 3] = makeMappingArray(
+            self._lut[:-3, 3] = _create_lookup_table(
                 self.N, self._segmentdata['alpha'], 1)
         self._isinit = True
         self._set_extremes()
 
     def set_gamma(self, gamma):
-        """
-        Set a new gamma value and regenerate color map.
-        """
+        """Set a new gamma value and regenerate colormap."""
         self._gamma = gamma
         self._init()
 
     @staticmethod
-    def from_list(name, colors, N=256, gamma=1.0):
-        """
-        Make a linear segmented colormap with *name* from a sequence
-        of *colors* which evenly transitions from colors[0] at val=0
-        to colors[-1] at val=1.  *N* is the number of rgb quantization
-        levels.
-        Alternatively, a list of (value, color) tuples can be given
-        to divide the range unevenly.
+    def from_list(name, colors, N=256, gamma=1.0, *, bad=None, under=None, over=None):
         """
+        Create a `LinearSegmentedColormap` from a list of colors.
 
-        if not cbook.iterable(colors):
+        Parameters
+        ----------
+        name : str
+            The name of the colormap.
+        colors : list of :mpltype:`color` or list of (value, color)
+            If only colors are given, they are equidistantly mapped from the
+            range :math:`[0, 1]`; i.e. 0 maps to ``colors[0]`` and 1 maps to
+            ``colors[-1]``.
+            If (value, color) pairs are given, the mapping is from *value*
+            to *color*. This can be used to divide the range unevenly. The
+            values must increase monotonically from 0 to 1.
+        N : int
+            The number of RGB quantization levels.
+        gamma : float
+
+        bad : :mpltype:`color`, default: transparent
+            The color for invalid values (NaN or masked).
+        under : :mpltype:`color`, default: color of the lowest value
+            The color for low out-of-range values.
+        over : :mpltype:`color`, default: color of the highest value
+            The color for high out-of-range values.
+        """
+        if not np.iterable(colors):
             raise ValueError('colors must be iterable')
 
-        if cbook.iterable(colors[0]) and len(colors[0]) == 2 and \
-                not cbook.is_string_like(colors[0]):
-            # List of value, color pairs
-            vals, colors = list(zip(*colors))
-        else:
-            vals = np.linspace(0., 1., len(colors))
+        try:
+            # Assume the passed colors are a list of colors
+            # and not a (value, color) tuple.
+            r, g, b, a = to_rgba_array(colors).T
+            vals = np.linspace(0, 1, len(colors))
+        except Exception as e:
+            # Assume the passed values are a list of
+            # (value, color) tuples.
+            try:
+                _vals, _colors = itertools.zip_longest(*colors)
+            except Exception as e2:
+                raise e2 from e
+            vals = np.asarray(_vals)
+            if np.min(vals) < 0 or np.max(vals) > 1 or np.any(np.diff(vals) <= 0):
+                raise ValueError(
+                    "the values passed in the (value, color) pairs "
+                    "must increase monotonically from 0 to 1."
+                )
+            r, g, b, a = to_rgba_array(_colors).T
+
+        cdict = {
+            "red": np.column_stack([vals, r, r]),
+            "green": np.column_stack([vals, g, g]),
+            "blue": np.column_stack([vals, b, b]),
+            "alpha": np.column_stack([vals, a, a]),
+        }
+
+        return LinearSegmentedColormap(name, cdict, N, gamma,
+                                       bad=bad, under=under, over=over)
+
+    def resampled(self, lutsize):
+        """Return a new colormap with *lutsize* entries."""
+        new_cmap = LinearSegmentedColormap(self.name, self._segmentdata,
+                                           lutsize)
+        new_cmap._rgba_over = self._rgba_over
+        new_cmap._rgba_under = self._rgba_under
+        new_cmap._rgba_bad = self._rgba_bad
+        return new_cmap
+
+    # Helper ensuring picklability of the reversed cmap.
+    @staticmethod
+    def _reverser(func, x):
+        return func(1 - x)
 
-        cdict = dict(red=[], green=[], blue=[], alpha=[])
-        for val, color in zip(vals, colors):
-            r, g, b, a = colorConverter.to_rgba(color)
-            cdict['red'].append((val, r, r))
-            cdict['green'].append((val, g, g))
-            cdict['blue'].append((val, b, b))
-            cdict['alpha'].append((val, a, a))
+    def reversed(self, name=None):
+        """
+        Return a reversed instance of the Colormap.
 
-        return LinearSegmentedColormap(name, cdict, N, gamma)
+        Parameters
+        ----------
+        name : str, optional
+            The name for the reversed colormap. If None, the
+            name is set to ``self.name + "_r"``.
+
+        Returns
+        -------
+        LinearSegmentedColormap
+            The reversed colormap.
+        """
+        if name is None:
+            name = self.name + "_r"
+
+        # Using a partial object keeps the cmap picklable.
+        data_r = {key: (functools.partial(self._reverser, data)
+                        if callable(data) else
+                        [(1.0 - x, y1, y0) for x, y0, y1 in reversed(data)])
+                  for key, data in self._segmentdata.items()}
+
+        new_cmap = LinearSegmentedColormap(name, data_r, self.N, self._gamma)
+        # Reverse the over/under values too
+        new_cmap._rgba_over = self._rgba_under
+        new_cmap._rgba_under = self._rgba_over
+        new_cmap._rgba_bad = self._rgba_bad
+        return new_cmap
 
 
 class ListedColormap(Colormap):
-    """Colormap object generated from a list of colors.
+    """
+    Colormap object generated from a list of colors.
 
     This may be most useful when indexing directly into a colormap,
     but it can also be used to generate special colormaps for ordinary
     mapping.
-    """
-    def __init__(self, colors, name='from_list', N=None):
-        """
-        Make a colormap from a list of colors.
 
-        *colors*
-            a list of matplotlib color specifications,
-            or an equivalent Nx3 or Nx4 floating point array
-            (*N* rgb or rgba values)
-        *name*
-            a string to identify the colormap
-        *N*
-            the number of entries in the map.  The default is *None*,
-            in which case there is one colormap entry for each
-            element in the list of colors.  If::
+    Parameters
+    ----------
+    colors : list of :mpltype:`color` or array
+        Sequence of Matplotlib color specifications (color names or RGB(A)
+        values).
+    name : str, optional
+        String to identify the colormap.
+    N : int, optional
+        Number of entries in the map. The default is *None*, in which case
+        there is one colormap entry for each element in the list of colors.
+        If ::
 
-                N < len(colors)
+            N < len(colors)
 
-            the list will be truncated at *N*.  If::
+        the list will be truncated at *N*. If ::
 
-                N > len(colors)
+            N > len(colors)
 
-            the list will be extended by repetition.
-        """
-        self.colors = colors
-        self.monochrome = False  # True only if all colors in map are
-                                 # identical; needed for contouring.
+        the list will be extended by repetition.
+
+        .. deprecated:: 3.11
+
+            This parameter will be removed. Please instead ensure that
+            the list of passed colors is the required length.
+
+    bad : :mpltype:`color`, default: transparent
+        The color for invalid values (NaN or masked).
+
+        .. versionadded:: 3.11
+
+    under : :mpltype:`color`, default: color of the lowest value
+        The color for low out-of-range values.
+
+        .. versionadded:: 3.11
+
+    over : :mpltype:`color`, default: color of the highest value
+        The color for high out-of-range values.
+
+        .. versionadded:: 3.11
+    """
+
+    @_api.delete_parameter(
+        "3.11", "N",
+        message="Passing 'N' to ListedColormap is deprecated since %(since)s "
+                "and will be removed in %(removal)s. Please ensure the list "
+                "of passed colors is the required length instead."
+    )
+    def __init__(self, colors, name='from_list', N=None, *,
+                 bad=None, under=None, over=None):
         if N is None:
-            N = len(self.colors)
+            self.colors = colors
+            N = len(colors)
         else:
-            if cbook.is_string_like(self.colors):
-                self.colors = [self.colors] * N
-                self.monochrome = True
-            elif cbook.iterable(self.colors):
-                self.colors = list(self.colors)  # in case it was a tuple
-                if len(self.colors) == 1:
-                    self.monochrome = True
-                if len(self.colors) < N:
-                    self.colors = list(self.colors) * N
-                del(self.colors[N:])
+            if isinstance(colors, str):
+                self.colors = [colors] * N
+            elif np.iterable(colors):
+                self.colors = list(
+                    itertools.islice(itertools.cycle(colors), N))
             else:
                 try:
-                    gray = float(self.colors)
+                    gray = float(colors)
                 except TypeError:
                     pass
                 else:
                     self.colors = [gray] * N
-                self.monochrome = True
-        Colormap.__init__(self, name, N)
+        super().__init__(name, N, bad=bad, under=under, over=over)
 
     def _init(self):
-        rgba = colorConverter.to_rgba_array(self.colors)
-        self._lut = np.zeros((self.N + 3, 4), np.float)
-        self._lut[:-3] = rgba
+        self._lut = np.zeros((self.N + 3, 4), float)
+        self._lut[:-3] = to_rgba_array(self.colors)
         self._isinit = True
         self._set_extremes()
 
+    @property
+    def monochrome(self):
+        """Return whether all colors in the colormap are identical."""
+        # Replacement for the attribute *monochrome*. This ensures a consistent
+        # response independent of the way the ListedColormap was created, which
+        # was not the case for the manually set attribute.
+        #
+        # TODO: It's a separate discussion whether we need this property on
+        #       colormaps at all (at least as public API). It's a very special edge
+        #       case and we only use it for contours internally.
+        if not self._isinit:
+            self._init()
+
+        return self.N <= 1 or np.all(self._lut[0] == self._lut[1:self.N])
+
+    def resampled(self, lutsize):
+        """Return a new colormap with *lutsize* entries."""
+        colors = self(np.linspace(0, 1, lutsize))
+        new_cmap = ListedColormap(colors, name=self.name)
+        # Keep the over/under values too
+        new_cmap._rgba_over = self._rgba_over
+        new_cmap._rgba_under = self._rgba_under
+        new_cmap._rgba_bad = self._rgba_bad
+        return new_cmap
+
+    def reversed(self, name=None):
+        """
+        Return a reversed instance of the Colormap.
+
+        Parameters
+        ----------
+        name : str, optional
+            The name for the reversed colormap. If None, the
+            name is set to ``self.name + "_r"``.
+
+        Returns
+        -------
+        ListedColormap
+            A reversed instance of the colormap.
+        """
+        if name is None:
+            name = self.name + "_r"
+
+        colors_r = list(reversed(self.colors))
+        new_cmap = ListedColormap(colors_r, name=name)
+        # Reverse the over/under values too
+        new_cmap._rgba_over = self._rgba_under
+        new_cmap._rgba_under = self._rgba_over
+        new_cmap._rgba_bad = self._rgba_bad
+        return new_cmap
+
+
+class MultivarColormap:
+    """
+    Class for holding multiple `~matplotlib.colors.Colormap` for use in a
+    `~matplotlib.cm.ScalarMappable` object
+    """
+    def __init__(self, colormaps, combination_mode, name='multivariate colormap'):
+        """
+        Parameters
+        ----------
+        colormaps: list or tuple of `~matplotlib.colors.Colormap` objects
+            The individual colormaps that are combined
+        combination_mode: str, 'sRGB_add' or 'sRGB_sub'
+            Describe how colormaps are combined in sRGB space
+
+            - If 'sRGB_add' -> Mixing produces brighter colors
+              `sRGB = sum(colors)`
+            - If 'sRGB_sub' -> Mixing produces darker colors
+              `sRGB = 1 - sum(1 - colors)`
+        name : str, optional
+            The name of the colormap family.
+        """
+        self.name = name
+
+        if not np.iterable(colormaps) \
+           or len(colormaps) == 1 \
+           or isinstance(colormaps, str):
+            raise ValueError("A MultivarColormap must have more than one colormap.")
+        colormaps = list(colormaps)  # ensure cmaps is a list, i.e. not a tuple
+        for i, cmap in enumerate(colormaps):
+            if isinstance(cmap, str):
+                colormaps[i] = mpl.colormaps[cmap]
+            elif not isinstance(cmap, Colormap):
+                raise ValueError("colormaps must be a list of objects that subclass"
+                                 " Colormap or a name found in the colormap registry.")
+
+        self._colormaps = colormaps
+        _api.check_in_list(['sRGB_add', 'sRGB_sub'], combination_mode=combination_mode)
+        self._combination_mode = combination_mode
+        self.n_variates = len(colormaps)
+        self._rgba_bad = (0.0, 0.0, 0.0, 0.0)  # If bad, don't paint anything.
+
+    def __call__(self, X, alpha=None, bytes=False, clip=True):
+        r"""
+        Parameters
+        ----------
+        X : tuple (X0, X1, ...) of length equal to the number of colormaps
+            X0, X1 ...:
+            float or int, `~numpy.ndarray` or scalar
+            The data value(s) to convert to RGBA.
+            For floats, *Xi...* should be in the interval ``[0.0, 1.0]`` to
+            return the RGBA values ``X*100`` percent along the Colormap line.
+            For integers, *Xi...*  should be in the interval ``[0, self[i].N)`` to
+            return RGBA values *indexed* from colormap [i] with index ``Xi``, where
+            self[i] is colormap i.
+        alpha : float or array-like or None
+            Alpha must be a scalar between 0 and 1, a sequence of such
+            floats with shape matching *Xi*, or None.
+        bytes : bool, default: False
+            If False (default), the returned RGBA values will be floats in the
+            interval ``[0, 1]`` otherwise they will be `numpy.uint8`\s in the
+            interval ``[0, 255]``.
+        clip : bool, default: True
+            If True, clip output to 0 to 1
+
+        Returns
+        -------
+        Tuple of RGBA values if X[0] is scalar, otherwise an array of
+        RGBA values with a shape of ``X.shape + (4, )``.
+        """
+
+        if len(X) != len(self):
+            raise ValueError(
+                f'For the selected colormap the data must have a first dimension '
+                f'{len(self)}, not {len(X)}')
+        rgba, mask_bad = self[0]._get_rgba_and_mask(X[0], bytes=False)
+        for c, xx in zip(self[1:], X[1:]):
+            sub_rgba, sub_mask_bad = c._get_rgba_and_mask(xx, bytes=False)
+            rgba[..., :3] += sub_rgba[..., :3]  # add colors
+            rgba[..., 3] *= sub_rgba[..., 3]  # multiply alpha
+            mask_bad |= sub_mask_bad
+
+        if self.combination_mode == 'sRGB_sub':
+            rgba[..., :3] -= len(self) - 1
+
+        rgba[mask_bad] = self.get_bad()
+
+        if clip:
+            rgba = np.clip(rgba, 0, 1)
+
+        if alpha is not None:
+            if clip:
+                alpha = np.clip(alpha, 0, 1)
+            if np.shape(alpha) not in [(), np.shape(X[0])]:
+                raise ValueError(
+                    f"alpha is array-like but its shape {np.shape(alpha)} does "
+                    f"not match that of X[0] {np.shape(X[0])}")
+            rgba[..., -1] *= alpha
+
+        if bytes:
+            if not clip:
+                raise ValueError(
+                    "clip cannot be false while bytes is true"
+                    " as uint8 does not support values below 0"
+                    " or above 255.")
+            rgba = (rgba * 255).astype('uint8')
+
+        if not np.iterable(X[0]):
+            rgba = tuple(rgba)
+
+        return rgba
+
+    def copy(self):
+        """Return a copy of the multivarcolormap."""
+        return self.__copy__()
+
+    def __copy__(self):
+        cls = self.__class__
+        cmapobject = cls.__new__(cls)
+        cmapobject.__dict__.update(self.__dict__)
+        cmapobject._colormaps = [cm.copy() for cm in self._colormaps]
+        cmapobject._rgba_bad = np.copy(self._rgba_bad)
+        return cmapobject
+
+    def __eq__(self, other):
+        if not isinstance(other, MultivarColormap):
+            return False
+        if len(self) != len(other):
+            return False
+        for c0, c1 in zip(self, other):
+            if c0 != c1:
+                return False
+        if not all(self._rgba_bad == other._rgba_bad):
+            return False
+        if self.combination_mode != other.combination_mode:
+            return False
+        return True
+
+    def __getitem__(self, item):
+        return self._colormaps[item]
+
+    def __iter__(self):
+        for c in self._colormaps:
+            yield c
+
+    def __len__(self):
+        return len(self._colormaps)
+
+    def __str__(self):
+        return self.name
+
+    def get_bad(self):
+        """Get the color for masked values."""
+        return np.array(self._rgba_bad)
+
+    def resampled(self, lutshape):
+        """
+        Return a new colormap with *lutshape* entries.
+
+        Parameters
+        ----------
+        lutshape : tuple of (`int`, `None`)
+            The tuple must have a length matching the number of variates.
+            For each element in the tuple, if `int`, the corresponding colorbar
+            is resampled, if `None`, the corresponding colorbar is not resampled.
+
+        Returns
+        -------
+        MultivarColormap
+        """
+
+        if not np.iterable(lutshape) or len(lutshape) != len(self):
+            raise ValueError(f"lutshape must be of length {len(self)}")
+        new_cmap = self.copy()
+        for i, s in enumerate(lutshape):
+            if s is not None:
+                new_cmap._colormaps[i] = self[i].resampled(s)
+        return new_cmap
 
-class Normalize(object):
+    def with_extremes(self, *, bad=None, under=None, over=None):
+        """
+        Return a copy of the `MultivarColormap` with modified out-of-range attributes.
+
+        The *bad* keyword modifies the copied `MultivarColormap` while *under* and
+        *over* modifies the attributes of the copied component colormaps.
+        Note that *under* and *over* colors are subject to the mixing rules determined
+        by the *combination_mode*.
+
+        Parameters
+        ----------
+        bad: :mpltype:`color`, default: None
+            If Matplotlib color, the bad value is set accordingly in the copy
+
+        under tuple of :mpltype:`color`, default: None
+            If tuple, the `under` value of each component is set with the values
+            from the tuple.
+
+        over tuple of :mpltype:`color`, default: None
+            If tuple, the `over` value of each component is set with the values
+            from the tuple.
+
+        Returns
+        -------
+        MultivarColormap
+            copy of self with attributes set
+
+        """
+        new_cm = self.copy()
+        if bad is not None:
+            new_cm._rgba_bad = to_rgba(bad)
+        if under is not None:
+            if not np.iterable(under) or len(under) != len(new_cm):
+                raise ValueError("*under* must contain a color for each scalar colormap"
+                                 f" i.e. be of length {len(new_cm)}.")
+            else:
+                for c, b in zip(new_cm, under):
+                    c.set_under(b)
+        if over is not None:
+            if not np.iterable(over) or len(over) != len(new_cm):
+                raise ValueError("*over* must contain a color for each scalar colormap"
+                                 f" i.e. be of length {len(new_cm)}.")
+            else:
+                for c, b in zip(new_cm, over):
+                    c.set_over(b)
+        return new_cm
+
+    @property
+    def combination_mode(self):
+        return self._combination_mode
+
+    def _repr_png_(self):
+        """Generate a PNG representation of the Colormap."""
+        X = np.tile(np.linspace(0, 1, _REPR_PNG_SIZE[0]),
+                                (_REPR_PNG_SIZE[1], 1))
+        pixels = np.zeros((_REPR_PNG_SIZE[1]*len(self), _REPR_PNG_SIZE[0], 4),
+                          dtype=np.uint8)
+        for i, c in enumerate(self):
+            pixels[i*_REPR_PNG_SIZE[1]:(i+1)*_REPR_PNG_SIZE[1], :] = c(X, bytes=True)
+        png_bytes = io.BytesIO()
+        title = self.name + ' multivariate colormap'
+        author = f'Matplotlib v{mpl.__version__}, https://matplotlib.org'
+        pnginfo = PngInfo()
+        pnginfo.add_text('Title', title)
+        pnginfo.add_text('Description', title)
+        pnginfo.add_text('Author', author)
+        pnginfo.add_text('Software', author)
+        Image.fromarray(pixels).save(png_bytes, format='png', pnginfo=pnginfo)
+        return png_bytes.getvalue()
+
+    def _repr_html_(self):
+        """Generate an HTML representation of the MultivarColormap."""
+        return ''.join([c._repr_html_() for c in self._colormaps])
+
+
+class BivarColormap:
     """
-    A class which, when called, can normalize data into
-    the ``[0.0, 1.0]`` interval.
+    Base class for all bivariate to RGBA mappings.
 
+    Designed as a drop-in replacement for Colormap when using a 2D
+    lookup table. To be used with `~matplotlib.cm.ScalarMappable`.
     """
+
+    def __init__(self, N=256, M=256, shape='square', origin=(0, 0),
+                 name='bivariate colormap'):
+        """
+        Parameters
+        ----------
+        N : int, default: 256
+            The number of RGB quantization levels along the first axis.
+        M : int, default: 256
+            The number of RGB quantization levels along the second axis.
+        shape : {'square', 'circle', 'ignore', 'circleignore'}
+
+            - 'square' each variate is clipped to [0,1] independently
+            - 'circle' the variates are clipped radially to the center
+              of the colormap, and a circular mask is applied when the colormap
+              is displayed
+            - 'ignore' the variates are not clipped, but instead assigned the
+              'outside' color
+            - 'circleignore' a circular mask is applied, but the data is not
+              clipped and instead assigned the 'outside' color
+
+        origin : (float, float), default: (0,0)
+            The relative origin of the colormap. Typically (0, 0), for colormaps
+            that are linear on both axis, and (.5, .5) for circular colormaps.
+            Used when getting 1D colormaps from 2D colormaps.
+        name : str, optional
+            The name of the colormap.
+        """
+
+        self.name = name
+        self.N = int(N)  # ensure that N is always int
+        self.M = int(M)
+        _api.check_in_list(['square', 'circle', 'ignore', 'circleignore'], shape=shape)
+        self._shape = shape
+        self._rgba_bad = (0.0, 0.0, 0.0, 0.0)  # If bad, don't paint anything.
+        self._rgba_outside = (1.0, 0.0, 1.0, 1.0)
+        self._isinit = False
+        self.n_variates = 2
+        self._origin = (float(origin[0]), float(origin[1]))
+        '''#: When this colormap exists on a scalar mappable and colorbar_extend
+        #: is not False, colorbar creation will pick up ``colorbar_extend`` as
+        #: the default value for the ``extend`` keyword in the
+        #: `matplotlib.colorbar.Colorbar` constructor.
+        self.colorbar_extend = False'''
+
+    def __call__(self, X, alpha=None, bytes=False):
+        r"""
+        Parameters
+        ----------
+        X : tuple (X0, X1), X0 and X1: float or int or array-like
+            The data value(s) to convert to RGBA.
+
+            - For floats, *X* should be in the interval ``[0.0, 1.0]`` to
+              return the RGBA values ``X*100`` percent along the Colormap.
+            - For integers, *X* should be in the interval ``[0, Colormap.N)`` to
+              return RGBA values *indexed* from the Colormap with index ``X``.
+
+        alpha : float or array-like or None, default: None
+            Alpha must be a scalar between 0 and 1, a sequence of such
+            floats with shape matching X0, or None.
+        bytes : bool, default: False
+            If False (default), the returned RGBA values will be floats in the
+            interval ``[0, 1]`` otherwise they will be `numpy.uint8`\s in the
+            interval ``[0, 255]``.
+
+        Returns
+        -------
+        Tuple of RGBA values if X is scalar, otherwise an array of
+        RGBA values with a shape of ``X.shape + (4, )``.
+        """
+
+        if len(X) != 2:
+            raise ValueError(
+                f'For a `BivarColormap` the data must have a first dimension '
+                f'2, not {len(X)}')
+
+        if not self._isinit:
+            self._init()
+
+        X0 = np.ma.array(X[0], copy=True)
+        X1 = np.ma.array(X[1], copy=True)
+        # clip to shape of colormap, circle square, etc.
+        self._clip((X0, X1))
+
+        # Native byteorder is faster.
+        if not X0.dtype.isnative:
+            X0 = X0.byteswap().view(X0.dtype.newbyteorder())
+        if not X1.dtype.isnative:
+            X1 = X1.byteswap().view(X1.dtype.newbyteorder())
+
+        if X0.dtype.kind == "f":
+            X0 *= self.N
+            # xa == 1 (== N after multiplication) is not out of range.
+            X0[X0 == self.N] = self.N - 1
+
+        if X1.dtype.kind == "f":
+            X1 *= self.M
+            # xa == 1 (== N after multiplication) is not out of range.
+            X1[X1 == self.M] = self.M - 1
+
+        # Pre-compute the masks before casting to int (which can truncate)
+        mask_outside = (X0 < 0) | (X1 < 0) | (X0 >= self.N) | (X1 >= self.M)
+        # If input was masked, get the bad mask from it; else mask out nans.
+        mask_bad_0 = X0.mask if np.ma.is_masked(X0) else np.isnan(X0)
+        mask_bad_1 = X1.mask if np.ma.is_masked(X1) else np.isnan(X1)
+        mask_bad = mask_bad_0 | mask_bad_1
+
+        with np.errstate(invalid="ignore"):
+            # We need this cast for unsigned ints as well as floats
+            X0 = X0.astype(int)
+            X1 = X1.astype(int)
+
+        # Set masked values to zero
+        # The corresponding rgb values will be replaced later
+        for X_part in [X0, X1]:
+            X_part[mask_outside] = 0
+            X_part[mask_bad] = 0
+
+        rgba = self._lut[X0, X1]
+        if np.isscalar(X[0]):
+            rgba = np.copy(rgba)
+        rgba[mask_outside] = self._rgba_outside
+        rgba[mask_bad] = self._rgba_bad
+        if bytes:
+            rgba = (rgba * 255).astype(np.uint8)
+        if alpha is not None:
+            alpha = np.clip(alpha, 0, 1)
+            if bytes:
+                alpha *= 255  # Will be cast to uint8 upon assignment.
+            if np.shape(alpha) not in [(), np.shape(X0)]:
+                raise ValueError(
+                    f"alpha is array-like but its shape {np.shape(alpha)} does "
+                    f"not match that of X[0] {np.shape(X0)}")
+            rgba[..., -1] = alpha
+            # If the "bad" color is all zeros, then ignore alpha input.
+            if (np.array(self._rgba_bad) == 0).all():
+                rgba[mask_bad] = (0, 0, 0, 0)
+
+        if not np.iterable(X[0]):
+            rgba = tuple(rgba)
+        return rgba
+
+    @property
+    def lut(self):
+        """
+        For external access to the lut, i.e. for displaying the cmap.
+        For circular colormaps this returns a lut with a circular mask.
+
+        Internal functions (such as to_rgb()) should use _lut
+        which stores the lut without a circular mask
+        A lut without the circular mask is needed in to_rgb() because the
+        conversion from floats to ints results in some some pixel-requests
+        just outside of the circular mask
+
+        """
+        if not self._isinit:
+            self._init()
+        lut = np.copy(self._lut)
+        if self.shape == 'circle' or self.shape == 'circleignore':
+            n = np.linspace(-1, 1, self.N)
+            m = np.linspace(-1, 1, self.M)
+            radii_sqr = (n**2)[:, np.newaxis] + (m**2)[np.newaxis, :]
+            mask_outside = radii_sqr > 1
+            lut[mask_outside, 3] = 0
+        return lut
+
+    def __copy__(self):
+        cls = self.__class__
+        cmapobject = cls.__new__(cls)
+        cmapobject.__dict__.update(self.__dict__)
+
+        cmapobject._rgba_outside = np.copy(self._rgba_outside)
+        cmapobject._rgba_bad = np.copy(self._rgba_bad)
+        cmapobject._shape = self.shape
+        if self._isinit:
+            cmapobject._lut = np.copy(self._lut)
+        return cmapobject
+
+    def __eq__(self, other):
+        if not isinstance(other, BivarColormap):
+            return False
+        # To compare lookup tables the Colormaps have to be initialized
+        if not self._isinit:
+            self._init()
+        if not other._isinit:
+            other._init()
+        if not np.array_equal(self._lut, other._lut):
+            return False
+        if not np.array_equal(self._rgba_bad, other._rgba_bad):
+            return False
+        if not np.array_equal(self._rgba_outside, other._rgba_outside):
+            return False
+        if self.shape != other.shape:
+            return False
+        return True
+
+    def get_bad(self):
+        """Get the color for masked values."""
+        return self._rgba_bad
+
+    def get_outside(self):
+        """Get the color for out-of-range values."""
+        return self._rgba_outside
+
+    def resampled(self, lutshape, transposed=False):
+        """
+        Return a new colormap with *lutshape* entries.
+
+        Note that this function does not move the origin.
+
+        Parameters
+        ----------
+        lutshape : tuple of ints or None
+            The tuple must be of length 2, and each entry is either an int or None.
+
+            - If an int, the corresponding axis is resampled.
+            - If negative the corresponding axis is resampled in reverse
+            - If -1, the axis is inverted
+            - If 1 or None, the corresponding axis is not resampled.
+
+        transposed : bool, default: False
+            if True, the axes are swapped after resampling
+
+        Returns
+        -------
+        BivarColormap
+        """
+
+        if not np.iterable(lutshape) or len(lutshape) != 2:
+            raise ValueError("lutshape must be of length 2")
+        lutshape = [lutshape[0], lutshape[1]]
+        if lutshape[0] is None or lutshape[0] == 1:
+            lutshape[0] = self.N
+        if lutshape[1] is None or lutshape[1] == 1:
+            lutshape[1] = self.M
+
+        inverted = [False, False]
+        if lutshape[0] < 0:
+            inverted[0] = True
+            lutshape[0] = -lutshape[0]
+            if lutshape[0] == 1:
+                lutshape[0] = self.N
+        if lutshape[1] < 0:
+            inverted[1] = True
+            lutshape[1] = -lutshape[1]
+            if lutshape[1] == 1:
+                lutshape[1] = self.M
+        x_0, x_1 = np.mgrid[0:1:(lutshape[0] * 1j), 0:1:(lutshape[1] * 1j)]
+        if inverted[0]:
+            x_0 = x_0[::-1, :]
+        if inverted[1]:
+            x_1 = x_1[:, ::-1]
+
+        # we need to use shape = 'square' while resampling the colormap.
+        # if the colormap has shape = 'circle' we would otherwise get *outside* in the
+        # resampled colormap
+        shape_memory = self._shape
+        self._shape = 'square'
+        if transposed:
+            new_lut = self((x_1, x_0))
+            new_cmap = BivarColormapFromImage(new_lut, name=self.name,
+                                              shape=shape_memory,
+                                              origin=self.origin[::-1])
+        else:
+            new_lut = self((x_0, x_1))
+            new_cmap = BivarColormapFromImage(new_lut, name=self.name,
+                                              shape=shape_memory,
+                                              origin=self.origin)
+        self._shape = shape_memory
+
+        new_cmap._rgba_bad = self._rgba_bad
+        new_cmap._rgba_outside = self._rgba_outside
+        return new_cmap
+
+    def reversed(self, axis_0=True, axis_1=True):
+        """
+        Reverses both or one of the axis.
+        """
+        r_0 = -1 if axis_0 else 1
+        r_1 = -1 if axis_1 else 1
+        return self.resampled((r_0, r_1))
+
+    def transposed(self):
+        """
+        Transposes the colormap by swapping the order of the axis
+        """
+        return self.resampled((None, None), transposed=True)
+
+    def with_extremes(self, *, bad=None, outside=None, shape=None, origin=None):
+        """
+        Return a copy of the `BivarColormap` with modified attributes.
+
+        Note that the *outside* color is only relevant if `shape` = 'ignore'
+        or 'circleignore'.
+
+        Parameters
+        ----------
+        bad : :mpltype:`color`, optional
+            If given, the *bad* value is set accordingly in the copy.
+
+        outside : :mpltype:`color`, optional
+            If given and shape is 'ignore' or 'circleignore', values
+            *outside* the colormap are colored accordingly in the copy.
+
+        shape : {'square', 'circle', 'ignore', 'circleignore'}
+
+            - If 'square' each variate is clipped to [0,1] independently
+            - If 'circle' the variates are clipped radially to the center
+              of the colormap, and a circular mask is applied when the colormap
+              is displayed
+            - If 'ignore' the variates are not clipped, but instead assigned the
+              *outside* color
+            - If 'circleignore' a circular mask is applied, but the data is not
+              clipped and instead assigned the *outside* color
+
+        origin : (float, float)
+            The relative origin of the colormap. Typically (0, 0), for colormaps
+            that are linear on both axis, and (.5, .5) for circular colormaps.
+            Used when getting 1D colormaps from 2D colormaps.
+
+        Returns
+        -------
+        BivarColormap
+            copy of self with attributes set
+        """
+        new_cm = self.copy()
+        if bad is not None:
+            new_cm._rgba_bad = to_rgba(bad)
+        if outside is not None:
+            new_cm._rgba_outside = to_rgba(outside)
+        if shape is not None:
+            _api.check_in_list(['square', 'circle', 'ignore', 'circleignore'],
+                               shape=shape)
+            new_cm._shape = shape
+        if origin is not None:
+            new_cm._origin = (float(origin[0]), float(origin[1]))
+
+        return new_cm
+
+    def _init(self):
+        """Generate the lookup table, ``self._lut``."""
+        raise NotImplementedError("Abstract class only")
+
+    @property
+    def shape(self):
+        return self._shape
+
+    @property
+    def origin(self):
+        return self._origin
+
+    def _clip(self, X):
+        """
+        For internal use when applying a BivarColormap to data.
+        i.e. cm.ScalarMappable().to_rgba()
+        Clips X[0] and X[1] according to 'self.shape'.
+        X is modified in-place.
+
+        Parameters
+        ----------
+        X: np.array
+            array of floats or ints to be clipped
+        shape : {'square', 'circle', 'ignore', 'circleignore'}
+
+            - If 'square' each variate is clipped to [0,1] independently
+            - If 'circle' the variates are clipped radially to the center
+              of the colormap.
+              It is assumed that a circular mask is applied when the colormap
+              is displayed
+            - If 'ignore' the variates are not clipped, but instead assigned the
+              'outside' color
+            - If 'circleignore' a circular mask is applied, but the data is not clipped
+              and instead assigned the 'outside' color
+
+        """
+        if self.shape == 'square':
+            for X_part, mx in zip(X, (self.N, self.M)):
+                X_part[X_part < 0] = 0
+                if X_part.dtype.kind == "f":
+                    X_part[X_part > 1] = 1
+                else:
+                    X_part[X_part >= mx] = mx - 1
+
+        elif self.shape == 'ignore':
+            for X_part, mx in zip(X, (self.N, self.M)):
+                X_part[X_part < 0] = -1
+                if X_part.dtype.kind == "f":
+                    X_part[X_part > 1] = -1
+                else:
+                    X_part[X_part >= mx] = -1
+
+        elif self.shape == 'circle' or self.shape == 'circleignore':
+            for X_part in X:
+                if X_part.dtype.kind != "f":
+                    raise NotImplementedError(
+                        "Circular bivariate colormaps are only"
+                        " implemented for use with with floats")
+            radii_sqr = (X[0] - 0.5)**2 + (X[1] - 0.5)**2
+            mask_outside = radii_sqr > 0.25
+            if self.shape == 'circle':
+                overextend = 2 * np.sqrt(radii_sqr[mask_outside])
+                X[0][mask_outside] = (X[0][mask_outside] - 0.5) / overextend + 0.5
+                X[1][mask_outside] = (X[1][mask_outside] - 0.5) / overextend + 0.5
+            else:
+                X[0][mask_outside] = -1
+                X[1][mask_outside] = -1
+
+    def __getitem__(self, item):
+        """Creates and returns a colorbar along the selected axis"""
+        if not self._isinit:
+            self._init()
+        if item == 0:
+            origin_1_as_int = int(self._origin[1]*self.M)
+            if origin_1_as_int > self.M-1:
+                origin_1_as_int = self.M-1
+            one_d_lut = self._lut[:, origin_1_as_int]
+            new_cmap = ListedColormap(one_d_lut, name=f'{self.name}_0')
+
+        elif item == 1:
+            origin_0_as_int = int(self._origin[0]*self.N)
+            if origin_0_as_int > self.N-1:
+                origin_0_as_int = self.N-1
+            one_d_lut = self._lut[origin_0_as_int, :]
+            new_cmap = ListedColormap(one_d_lut, name=f'{self.name}_1')
+        else:
+            raise KeyError(f"only 0 or 1 are"
+                           f" valid keys for BivarColormap, not {item!r}")
+        new_cmap._rgba_bad = self._rgba_bad
+        if self.shape in ['ignore', 'circleignore']:
+            new_cmap.set_over(self._rgba_outside)
+            new_cmap.set_under(self._rgba_outside)
+        return new_cmap
+
+    def _repr_png_(self):
+        """Generate a PNG representation of the BivarColormap."""
+        if not self._isinit:
+            self._init()
+        pixels = self.lut
+        if pixels.shape[0] < _BIVAR_REPR_PNG_SIZE:
+            pixels = np.repeat(pixels,
+                               repeats=_BIVAR_REPR_PNG_SIZE//pixels.shape[0],
+                               axis=0)[:256, :]
+        if pixels.shape[1] < _BIVAR_REPR_PNG_SIZE:
+            pixels = np.repeat(pixels,
+                               repeats=_BIVAR_REPR_PNG_SIZE//pixels.shape[1],
+                               axis=1)[:, :256]
+        pixels = (pixels[::-1, :, :] * 255).astype(np.uint8)
+        png_bytes = io.BytesIO()
+        title = self.name + ' BivarColormap'
+        author = f'Matplotlib v{mpl.__version__}, https://matplotlib.org'
+        pnginfo = PngInfo()
+        pnginfo.add_text('Title', title)
+        pnginfo.add_text('Description', title)
+        pnginfo.add_text('Author', author)
+        pnginfo.add_text('Software', author)
+        Image.fromarray(pixels).save(png_bytes, format='png', pnginfo=pnginfo)
+        return png_bytes.getvalue()
+
+    def _repr_html_(self):
+        """Generate an HTML representation of the Colormap."""
+        png_bytes = self._repr_png_()
+        png_base64 = base64.b64encode(png_bytes).decode('ascii')
+        def color_block(color):
+            hex_color = to_hex(color, keep_alpha=True)
+            return (f'<div title="{hex_color}" '
+                    'style="display: inline-block; '
+                    'width: 1em; height: 1em; '
+                    'margin: 0; '
+                    'vertical-align: middle; '
+                    'border: 1px solid #555; '
+                    f'background-color: {hex_color};"></div>')
+
+        return ('<div style="vertical-align: middle;">'
+                f'<strong>{self.name}</strong> '
+                '</div>'
+                '<div class="cmap"><img '
+                f'alt="{self.name} BivarColormap" '
+                f'title="{self.name}" '
+                'style="border: 1px solid #555;" '
+                f'src="data:image/png;base64,{png_base64}"></div>'
+                '<div style="vertical-align: middle; '
+                f'max-width: {_BIVAR_REPR_PNG_SIZE+2}px; '
+                'display: flex; justify-content: space-between;">'
+                '<div style="float: left;">'
+                f'{color_block(self.get_outside())} outside'
+                '</div>'
+                '<div style="float: right;">'
+                f'bad {color_block(self.get_bad())}'
+                '</div></div>')
+
+    def copy(self):
+        """Return a copy of the colormap."""
+        return self.__copy__()
+
+
+class SegmentedBivarColormap(BivarColormap):
+    """
+    BivarColormap object generated by supersampling a regular grid.
+
+    Parameters
+    ----------
+    patch : np.array
+        Patch is required to have a shape (k, l, 3), and will get supersampled
+        to a lut of shape (N, N, 4).
+    N : int
+        The number of RGB quantization levels along each axis.
+    shape : {'square', 'circle', 'ignore', 'circleignore'}
+
+        - If 'square' each variate is clipped to [0,1] independently
+        - If 'circle' the variates are clipped radially to the center
+          of the colormap, and a circular mask is applied when the colormap
+          is displayed
+        - If 'ignore' the variates are not clipped, but instead assigned the
+          'outside' color
+        - If 'circleignore' a circular mask is applied, but the data is not clipped
+
+    origin : (float, float)
+        The relative origin of the colormap. Typically (0, 0), for colormaps
+        that are linear on both axis, and (.5, .5) for circular colormaps.
+        Used when getting 1D colormaps from 2D colormaps.
+
+    name : str, optional
+        The name of the colormap.
+    """
+
+    def __init__(self, patch, N=256, shape='square', origin=(0, 0),
+                 name='segmented bivariate colormap'):
+        _api.check_shape((None, None, 3), patch=patch)
+        self.patch = patch
+        super().__init__(N, N, shape, origin, name=name)
+
+    def _init(self):
+        s = self.patch.shape
+        _patch = np.empty((s[0], s[1], 4))
+        _patch[:, :, :3] = self.patch
+        _patch[:, :, 3] = 1
+        transform = mpl.transforms.Affine2D().translate(-0.5, -0.5)\
+                                .scale(self.N / (s[1] - 1), self.N / (s[0] - 1))
+        self._lut = np.empty((self.N, self.N, 4))
+
+        _image.resample(_patch, self._lut, transform, _image.BILINEAR,
+                        resample=False, alpha=1)
+        self._isinit = True
+
+
+class BivarColormapFromImage(BivarColormap):
+    """
+    BivarColormap object generated by supersampling a regular grid.
+
+    Parameters
+    ----------
+    lut : nparray of shape (N, M, 3) or (N, M, 4)
+        The look-up-table
+    shape: {'square', 'circle', 'ignore', 'circleignore'}
+
+        - If 'square' each variate is clipped to [0,1] independently
+        - If 'circle' the variates are clipped radially to the center
+          of the colormap, and a circular mask is applied when the colormap
+          is displayed
+        - If 'ignore' the variates are not clipped, but instead assigned the
+          'outside' color
+        - If 'circleignore' a circular mask is applied, but the data is not clipped
+
+    origin: (float, float)
+        The relative origin of the colormap. Typically (0, 0), for colormaps
+        that are linear on both axis, and (.5, .5) for circular colormaps.
+        Used when getting 1D colormaps from 2D colormaps.
+    name : str, optional
+        The name of the colormap.
+
+    """
+
+    def __init__(self, lut, shape='square', origin=(0, 0), name='from image'):
+        # We can allow for a PIL.Image as input in the following way, but importing
+        # matplotlib.image.pil_to_array() results in a circular import
+        # For now, this function only accepts numpy arrays.
+        # i.e.:
+        # if isinstance(Image, lut):
+        #    lut = image.pil_to_array(lut)
+        lut = np.array(lut, copy=True)
+        if lut.ndim != 3 or lut.shape[2] not in (3, 4):
+            raise ValueError("The lut must be an array of shape (n, m, 3) or (n, m, 4)",
+                             " or a PIL.image encoded as RGB or RGBA")
+
+        if lut.dtype == np.uint8:
+            lut = lut.astype(np.float32)/255
+        if lut.shape[2] == 3:
+            new_lut = np.empty((lut.shape[0], lut.shape[1], 4), dtype=lut.dtype)
+            new_lut[:, :, :3] = lut
+            new_lut[:, :, 3] = 1.
+            lut = new_lut
+        self._lut = lut
+        super().__init__(lut.shape[0], lut.shape[1], shape, origin, name=name)
+
+    def _init(self):
+        self._isinit = True
+
+
+class Normalize:
+    """
+    A class which, when called, maps values within the interval
+    ``[vmin, vmax]`` linearly to the interval ``[0.0, 1.0]``. The mapping of
+    values outside ``[vmin, vmax]`` depends on *clip*.
+
+    Examples
+    --------
+    ::
+
+        x = [-2, -1, 0, 1, 2]
+
+        norm = mpl.colors.Normalize(vmin=-1, vmax=1, clip=False)
+        norm(x)  # [-0.5, 0., 0.5, 1., 1.5]
+        norm = mpl.colors.Normalize(vmin=-1, vmax=1, clip=True)
+        norm(x)  # [0., 0., 0.5, 1., 1.]
+
+    See Also
+    --------
+    :ref:`colormapnorms`
+    """
+
     def __init__(self, vmin=None, vmax=None, clip=False):
         """
-        If *vmin* or *vmax* is not given, they are initialized from the
-        minimum and maximum value respectively of the first input
-        processed.  That is, *__call__(A)* calls *autoscale_None(A)*.
-        If *clip* is *True* and the given value falls outside the range,
-        the returned value will be 0 or 1, whichever is closer.
-        Returns 0 if::
+        Parameters
+        ----------
+        vmin, vmax : float or None
+            Values within the range ``[vmin, vmax]`` from the input data will be
+            linearly mapped to ``[0, 1]``. If either *vmin* or *vmax* is not
+            provided, they default to the minimum and maximum values of the input,
+            respectively.
+
+        clip : bool, default: False
+            Determines the behavior for mapping values outside the range
+            ``[vmin, vmax]``.
+
+            If clipping is off, values outside the range ``[vmin, vmax]`` are
+            also transformed, resulting in values outside ``[0, 1]``.  This
+            behavior is usually desirable, as colormaps can mark these *under*
+            and *over* values with specific colors.
+
+            If clipping is on, values below *vmin* are mapped to 0 and values
+            above *vmax* are mapped to 1. Such values become indistinguishable
+            from regular boundary values, which may cause misinterpretation of
+            the data.
+
+        Notes
+        -----
+        If ``vmin == vmax``, input data will be mapped to 0.
+        """
+        self._vmin = _sanitize_extrema(vmin)
+        self._vmax = _sanitize_extrema(vmax)
+        self._clip = clip
+        self._scale = None
+        self.callbacks = cbook.CallbackRegistry(signals=["changed"])
+
+    @property
+    def vmin(self):
+        """Lower limit of the input data interval; maps to 0."""
+        return self._vmin
+
+    @vmin.setter
+    def vmin(self, value):
+        value = _sanitize_extrema(value)
+        if value != self._vmin:
+            self._vmin = value
+            self._changed()
+
+    @property
+    def vmax(self):
+        """Upper limit of the input data interval; maps to 1."""
+        return self._vmax
+
+    @vmax.setter
+    def vmax(self, value):
+        value = _sanitize_extrema(value)
+        if value != self._vmax:
+            self._vmax = value
+            self._changed()
+
+    @property
+    def clip(self):
+        """
+        Determines the behavior for mapping values outside the range ``[vmin, vmax]``.
+
+        See the *clip* parameter in `.Normalize`.
+        """
+        return self._clip
 
-            vmin==vmax
+    @clip.setter
+    def clip(self, value):
+        if value != self._clip:
+            self._clip = value
+            self._changed()
 
-        Works with scalars or arrays, including masked arrays.  If
-        *clip* is *True*, masked values are set to 1; otherwise they
-        remain masked.  Clipping silently defeats the purpose of setting
-        the over, under, and masked colors in the colormap, so it is
-        likely to lead to surprises; therefore the default is
-        *clip* = *False*.
+    def _changed(self):
+        """
+        Call this whenever the norm is changed to notify all the
+        callback listeners to the 'changed' signal.
         """
-        self.vmin = vmin
-        self.vmax = vmax
-        self.clip = clip
+        self.callbacks.process('changed')
 
     @staticmethod
     def process_value(value):
@@ -878,57 +2366,77 @@ def process_value(value):
 
         *value* can be a scalar or sequence.
 
-        Returns *result*, *is_scalar*, where *result* is a
-        masked array matching *value*.  Float dtypes are preserved;
-        integer types with two bytes or smaller are converted to
-        np.float32, and larger types are converted to np.float.
+        Parameters
+        ----------
+        value
+            Data to normalize.
+
+        Returns
+        -------
+        result : masked array
+            Masked array with the same shape as *value*.
+        is_scalar : bool
+            Whether *value* is a scalar.
+
+        Notes
+        -----
+        Float dtypes are preserved; integer types with two bytes or smaller are
+        converted to np.float32, and larger types are converted to np.float64.
         Preserving float32 when possible, and using in-place operations,
-        can greatly improve speed for large arrays.
-
-        Experimental; we may want to add an option to force the
-        use of float32.
-        """
-        if cbook.iterable(value):
-            is_scalar = False
-            result = ma.asarray(value)
-            if result.dtype.kind == 'f':
-                if isinstance(value, np.ndarray):
-                    result = result.copy()
-            elif result.dtype.itemsize > 2:
-                result = result.astype(np.float)
-            else:
-                result = result.astype(np.float32)
-        else:
-            is_scalar = True
-            result = ma.array([value]).astype(np.float)
+        greatly improves speed for large arrays.
+        """
+        is_scalar = not np.iterable(value)
+        if is_scalar:
+            value = [value]
+        dtype = np.min_scalar_type(value)
+        if np.issubdtype(dtype, np.integer) or dtype.type is np.bool_:
+            # bool_/int8/int16 -> float32; int32/int64 -> float64
+            dtype = np.promote_types(dtype, np.float32)
+        # ensure data passed in as an ndarray subclass are interpreted as
+        # an ndarray. See issue #6622.
+        mask = np.ma.getmask(value)
+        data = np.asarray(value)
+        result = np.ma.array(data, mask=mask, dtype=dtype, copy=True)
         return result, is_scalar
 
     def __call__(self, value, clip=None):
         """
-        Normalize *value* data in the ``[vmin, vmax]`` interval into
-        the ``[0.0, 1.0]`` interval and return it.  *clip* defaults
-        to *self.clip* (which defaults to *False*).  If not already
-        initialized, *vmin* and *vmax* are initialized using
-        *autoscale_None(value)*.
+        Normalize the data and return the normalized data.
+
+        Parameters
+        ----------
+        value
+            Data to normalize.
+        clip : bool, optional
+            See the description of the parameter *clip* in `.Normalize`.
+
+            If ``None``, defaults to ``self.clip`` (which defaults to
+            ``False``).
+
+        Notes
+        -----
+        If not already initialized, ``self.vmin`` and ``self.vmax`` are
+        initialized using ``self.autoscale_None(value)``.
         """
         if clip is None:
             clip = self.clip
 
         result, is_scalar = self.process_value(value)
 
-        self.autoscale_None(result)
-        vmin, vmax = self.vmin, self.vmax
+        if self.vmin is None or self.vmax is None:
+            self.autoscale_None(result)
+        # Convert at least to float, without losing precision.
+        (vmin,), _ = self.process_value(self.vmin)
+        (vmax,), _ = self.process_value(self.vmax)
         if vmin == vmax:
-            result.fill(0)   # Or should it be all masked?  Or 0.5?
+            result.fill(0)  # Or should it be all masked?  Or 0.5?
         elif vmin > vmax:
             raise ValueError("minvalue must be less than or equal to maxvalue")
         else:
-            vmin = float(vmin)
-            vmax = float(vmax)
             if clip:
-                mask = ma.getmask(result)
-                result = ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                  mask=mask)
+                mask = np.ma.getmask(result)
+                result = np.ma.array(np.clip(result.filled(vmax), vmin, vmax),
+                                     mask=mask)
             # ma division is very slow; we can take a shortcut
             resdat = result.data
             resdat -= vmin
@@ -939,107 +2447,480 @@ def __call__(self, value, clip=None):
         return result
 
     def inverse(self, value):
+        """
+        Maps the normalized value (i.e., index in the colormap) back to image
+        data value.
+
+        Parameters
+        ----------
+        value
+            Normalized value.
+        """
         if not self.scaled():
-            raise ValueError("Not invertible until scaled")
-        vmin = float(self.vmin)
-        vmax = float(self.vmax)
+            raise ValueError("Not invertible until both vmin and vmax are set")
+        (vmin,), _ = self.process_value(self.vmin)
+        (vmax,), _ = self.process_value(self.vmax)
 
-        if cbook.iterable(value):
-            val = ma.asarray(value)
+        if np.iterable(value):
+            val = np.ma.asarray(value)
             return vmin + val * (vmax - vmin)
         else:
             return vmin + value * (vmax - vmin)
 
     def autoscale(self, A):
-        """
-        Set *vmin*, *vmax* to min, max of *A*.
-        """
-        self.vmin = ma.min(A)
-        self.vmax = ma.max(A)
+        """Set *vmin*, *vmax* to min, max of *A*."""
+        with self.callbacks.blocked():
+            # Pause callbacks while we are updating so we only get
+            # a single update signal at the end
+            self.vmin = self.vmax = None
+            self.autoscale_None(A)
+        self._changed()
 
     def autoscale_None(self, A):
-        ' autoscale only None-valued vmin or vmax'
-        if self.vmin is None and np.size(A) > 0:
-            self.vmin = ma.min(A)
-        if self.vmax is None and np.size(A) > 0:
-            self.vmax = ma.max(A)
+        """If *vmin* or *vmax* are not set, use the min/max of *A* to set them."""
+        A = np.asanyarray(A)
+
+        if isinstance(A, np.ma.MaskedArray):
+            # we need to make the distinction between an array, False, np.bool_(False)
+            if A.mask is False or not A.mask.shape:
+                A = A.data
+
+        if self.vmin is None and A.size:
+            self.vmin = A.min()
+        if self.vmax is None and A.size:
+            self.vmax = A.max()
 
     def scaled(self):
-        'return true if vmin and vmax set'
-        return (self.vmin is not None and self.vmax is not None)
+        """Return whether *vmin* and *vmax* are both set."""
+        return self.vmin is not None and self.vmax is not None
 
 
-class LogNorm(Normalize):
-    """
-    Normalize a given value to the 0-1 range on a log scale
-    """
-    def __call__(self, value, clip=None):
-        if clip is None:
-            clip = self.clip
+class TwoSlopeNorm(Normalize):
+    def __init__(self, vcenter, vmin=None, vmax=None):
+        """
+        Normalize data with a set center.
 
-        result, is_scalar = self.process_value(value)
+        Useful when mapping data with an unequal rates of change around a
+        conceptual center, e.g., data that range from -2 to 4, with 0 as
+        the midpoint.
 
-        result = ma.masked_less_equal(result, 0, copy=False)
+        Parameters
+        ----------
+        vcenter : float
+            The data value that defines ``0.5`` in the normalization.
+        vmin : float, optional
+            The data value that defines ``0.0`` in the normalization.
+            Defaults to the min value of the dataset.
+        vmax : float, optional
+            The data value that defines ``1.0`` in the normalization.
+            Defaults to the max value of the dataset.
+
+        Examples
+        --------
+        This maps data value -4000 to 0., 0 to 0.5, and +10000 to 1.0; data
+        between is linearly interpolated::
+
+            >>> import matplotlib.colors as mcolors
+            >>> offset = mcolors.TwoSlopeNorm(vmin=-4000.,
+            ...                               vcenter=0., vmax=10000)
+            >>> data = [-4000., -2000., 0., 2500., 5000., 7500., 10000.]
+            >>> offset(data)
+            array([0., 0.25, 0.5, 0.625, 0.75, 0.875, 1.0])
+        """
 
-        self.autoscale_None(result)
-        vmin, vmax = self.vmin, self.vmax
-        if vmin > vmax:
-            raise ValueError("minvalue must be less than or equal to maxvalue")
-        elif vmin <= 0:
-            raise ValueError("values must all be positive")
-        elif vmin == vmax:
-            result.fill(0)
-        else:
-            if clip:
-                mask = ma.getmask(result)
-                result = ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                  mask=mask)
-            # in-place equivalent of above can be much faster
-            resdat = result.data
-            mask = result.mask
-            if mask is np.ma.nomask:
-                mask = (resdat <= 0)
-            else:
-                mask |= resdat <= 0
-            cbook._putmask(resdat, mask, 1)
-            np.log(resdat, resdat)
-            resdat -= np.log(vmin)
-            resdat /= (np.log(vmax) - np.log(vmin))
-            result = np.ma.array(resdat, mask=mask, copy=False)
+        super().__init__(vmin=vmin, vmax=vmax)
+        self._vcenter = vcenter
+        if vcenter is not None and vmax is not None and vcenter >= vmax:
+            raise ValueError('vmin, vcenter, and vmax must be in '
+                             'ascending order')
+        if vcenter is not None and vmin is not None and vcenter <= vmin:
+            raise ValueError('vmin, vcenter, and vmax must be in '
+                             'ascending order')
+
+    @property
+    def vcenter(self):
+        return self._vcenter
+
+    @vcenter.setter
+    def vcenter(self, value):
+        if value != self._vcenter:
+            self._vcenter = value
+            self._changed()
+
+    def autoscale_None(self, A):
+        """
+        Get vmin and vmax.
+
+        If vcenter isn't in the range [vmin, vmax], either vmin or vmax
+        is expanded so that vcenter lies in the middle of the modified range
+        [vmin, vmax].
+        """
+        super().autoscale_None(A)
+        if self.vmin >= self.vcenter:
+            self.vmin = self.vcenter - (self.vmax - self.vcenter)
+        if self.vmax <= self.vcenter:
+            self.vmax = self.vcenter + (self.vcenter - self.vmin)
+
+    def __call__(self, value, clip=None):
+        """
+        Map value to the interval [0, 1]. The *clip* argument is unused.
+        """
+        result, is_scalar = self.process_value(value)
+        self.autoscale_None(result)  # sets self.vmin, self.vmax if None
+
+        if not self.vmin <= self.vcenter <= self.vmax:
+            raise ValueError("vmin, vcenter, vmax must increase monotonically")
+        # note that we must extrapolate for tick locators:
+        result = np.ma.masked_array(
+            np.interp(result, [self.vmin, self.vcenter, self.vmax],
+                      [0, 0.5, 1], left=-np.inf, right=np.inf),
+            mask=np.ma.getmask(result))
         if is_scalar:
-            result = result[0]
+            result = np.atleast_1d(result)[0]
         return result
 
     def inverse(self, value):
         if not self.scaled():
-            raise ValueError("Not invertible until scaled")
-        vmin, vmax = self.vmin, self.vmax
+            raise ValueError("Not invertible until both vmin and vmax are set")
+        (vmin,), _ = self.process_value(self.vmin)
+        (vmax,), _ = self.process_value(self.vmax)
+        (vcenter,), _ = self.process_value(self.vcenter)
+        result = np.interp(value, [0, 0.5, 1], [vmin, vcenter, vmax],
+                           left=-np.inf, right=np.inf)
+        return result
 
-        if cbook.iterable(value):
-            val = ma.asarray(value)
-            return vmin * ma.power((vmax / vmin), val)
-        else:
-            return vmin * pow((vmax / vmin), value)
+
+class CenteredNorm(Normalize):
+    def __init__(self, vcenter=0, halfrange=None, clip=False):
+        """
+        Normalize symmetrical data around a center (0 by default).
+
+        Unlike `TwoSlopeNorm`, `CenteredNorm` applies an equal rate of change
+        around the center.
+
+        Useful when mapping symmetrical data around a conceptual center
+        e.g., data that range from -2 to 4, with 0 as the midpoint, and
+        with equal rates of change around that midpoint.
+
+        Parameters
+        ----------
+        vcenter : float, default: 0
+            The data value that defines ``0.5`` in the normalization.
+        halfrange : float, optional
+            The range of data values that defines a range of ``0.5`` in the
+            normalization, so that *vcenter* - *halfrange* is ``0.0`` and
+            *vcenter* + *halfrange* is ``1.0`` in the normalization.
+            Defaults to the largest absolute difference to *vcenter* for
+            the values in the dataset.
+        clip : bool, default: False
+            Determines the behavior for mapping values outside the range
+            ``[vmin, vmax]``.
+
+            If clipping is off, values outside the range ``[vmin, vmax]`` are
+            also transformed, resulting in values outside ``[0, 1]``.  This
+            behavior is usually desirable, as colormaps can mark these *under*
+            and *over* values with specific colors.
+
+            If clipping is on, values below *vmin* are mapped to 0 and values
+            above *vmax* are mapped to 1. Such values become indistinguishable
+            from regular boundary values, which may cause misinterpretation of
+            the data.
+
+        Examples
+        --------
+        This maps data values -2 to 0.25, 0 to 0.5, and 4 to 1.0
+        (assuming equal rates of change above and below 0.0):
+
+            >>> import matplotlib.colors as mcolors
+            >>> norm = mcolors.CenteredNorm(halfrange=4.0)
+            >>> data = [-2., 0., 4.]
+            >>> norm(data)
+            array([0.25, 0.5 , 1.  ])
+        """
+        super().__init__(vmin=None, vmax=None, clip=clip)
+        self._vcenter = vcenter
+        # calling the halfrange setter to set vmin and vmax
+        self.halfrange = halfrange
 
     def autoscale(self, A):
         """
-        Set *vmin*, *vmax* to min, max of *A*.
+        Set *halfrange* to ``max(abs(A-vcenter))``, then set *vmin* and *vmax*.
         """
-        A = ma.masked_less_equal(A, 0, copy=False)
-        self.vmin = ma.min(A)
-        self.vmax = ma.max(A)
+        A = np.asanyarray(A)
+        self.halfrange = max(self._vcenter-A.min(),
+                             A.max()-self._vcenter)
 
     def autoscale_None(self, A):
-        ' autoscale only None-valued vmin or vmax'
-        if self.vmin is not None and self.vmax is not None:
-            return
-        A = ma.masked_less_equal(A, 0, copy=False)
-        if self.vmin is None:
-            self.vmin = ma.min(A)
-        if self.vmax is None:
-            self.vmax = ma.max(A)
+        """Set *vmin* and *vmax*."""
+        A = np.asanyarray(A)
+        if self.halfrange is None and A.size:
+            self.autoscale(A)
+
+    @property
+    def vmin(self):
+        return self._vmin
+
+    @vmin.setter
+    def vmin(self, value):
+        value = _sanitize_extrema(value)
+        if value != self._vmin:
+            self._vmin = value
+            self._vmax = 2*self.vcenter - value
+            self._changed()
+
+    @property
+    def vmax(self):
+        return self._vmax
+
+    @vmax.setter
+    def vmax(self, value):
+        value = _sanitize_extrema(value)
+        if value != self._vmax:
+            self._vmax = value
+            self._vmin = 2*self.vcenter - value
+            self._changed()
+
+    @property
+    def vcenter(self):
+        return self._vcenter
+
+    @vcenter.setter
+    def vcenter(self, vcenter):
+        if vcenter != self._vcenter:
+            self._vcenter = vcenter
+            # Trigger an update of the vmin/vmax values through the setter
+            self.halfrange = self.halfrange
+            self._changed()
+
+    @property
+    def halfrange(self):
+        if self.vmin is None or self.vmax is None:
+            return None
+        return (self.vmax - self.vmin) / 2
+
+    @halfrange.setter
+    def halfrange(self, halfrange):
+        if halfrange is None:
+            self.vmin = None
+            self.vmax = None
+        else:
+            self.vmin = self.vcenter - abs(halfrange)
+            self.vmax = self.vcenter + abs(halfrange)
+
+
+def make_norm_from_scale(scale_cls, base_norm_cls=None, *, init=None):
+    """
+    Decorator for building a `.Normalize` subclass from a `~.scale.ScaleBase`
+    subclass.
+
+    After ::
+
+        @make_norm_from_scale(scale_cls)
+        class norm_cls(Normalize):
+            ...
+
+    *norm_cls* is filled with methods so that normalization computations are
+    forwarded to *scale_cls* (i.e., *scale_cls* is the scale that would be used
+    for the colorbar of a mappable normalized with *norm_cls*).
+
+    If *init* is not passed, then the constructor signature of *norm_cls*
+    will be ``norm_cls(vmin=None, vmax=None, clip=False)``; these three
+    parameters will be forwarded to the base class (``Normalize.__init__``),
+    and a *scale_cls* object will be initialized with no arguments (other than
+    a dummy axis).
+
+    If the *scale_cls* constructor takes additional parameters, then *init*
+    should be passed to `make_norm_from_scale`.  It is a callable which is
+    *only* used for its signature.  First, this signature will become the
+    signature of *norm_cls*.  Second, the *norm_cls* constructor will bind the
+    parameters passed to it using this signature, extract the bound *vmin*,
+    *vmax*, and *clip* values, pass those to ``Normalize.__init__``, and
+    forward the remaining bound values (including any defaults defined by the
+    signature) to the *scale_cls* constructor.
+    """
+
+    if base_norm_cls is None:
+        return functools.partial(make_norm_from_scale, scale_cls, init=init)
+
+    if isinstance(scale_cls, functools.partial):
+        scale_args = scale_cls.args
+        scale_kwargs_items = tuple(scale_cls.keywords.items())
+        scale_cls = scale_cls.func
+    else:
+        scale_args = scale_kwargs_items = ()
+
+    if init is None:
+        def init(vmin=None, vmax=None, clip=False): pass
+
+    return _make_norm_from_scale(
+        scale_cls, scale_args, scale_kwargs_items,
+        base_norm_cls, inspect.signature(init))
+
+
+@functools.cache
+def _make_norm_from_scale(
+    scale_cls, scale_args, scale_kwargs_items,
+    base_norm_cls, bound_init_signature,
+):
+    """
+    Helper for `make_norm_from_scale`.
+
+    This function is split out to enable caching (in particular so that
+    different unpickles reuse the same class).  In order to do so,
+
+    - ``functools.partial`` *scale_cls* is expanded into ``func, args, kwargs``
+      to allow memoizing returned norms (partial instances always compare
+      unequal, but we can check identity based on ``func, args, kwargs``;
+    - *init* is replaced by *init_signature*, as signatures are picklable,
+      unlike to arbitrary lambdas.
+    """
+
+    class Norm(base_norm_cls):
+        def __reduce__(self):
+            cls = type(self)
+            # If the class is toplevel-accessible, it is possible to directly
+            # pickle it "by name".  This is required to support norm classes
+            # defined at a module's toplevel, as the inner base_norm_cls is
+            # otherwise unpicklable (as it gets shadowed by the generated norm
+            # class).  If either import or attribute access fails, fall back to
+            # the general path.
+            try:
+                if cls is getattr(importlib.import_module(cls.__module__),
+                                  cls.__qualname__):
+                    return (_create_empty_object_of_class, (cls,), vars(self))
+            except (ImportError, AttributeError):
+                pass
+            return (_picklable_norm_constructor,
+                    (scale_cls, scale_args, scale_kwargs_items,
+                     base_norm_cls, bound_init_signature),
+                    vars(self))
+
+        def __init__(self, *args, **kwargs):
+            ba = bound_init_signature.bind(*args, **kwargs)
+            ba.apply_defaults()
+            super().__init__(
+                **{k: ba.arguments.pop(k) for k in ["vmin", "vmax", "clip"]})
+            self._scale = functools.partial(
+                scale_cls, *scale_args, **dict(scale_kwargs_items))(
+                    axis=None, **ba.arguments)
+            self._trf = self._scale.get_transform()
+
+        __init__.__signature__ = bound_init_signature.replace(parameters=[
+            inspect.Parameter("self", inspect.Parameter.POSITIONAL_OR_KEYWORD),
+            *bound_init_signature.parameters.values()])
+
+        def __call__(self, value, clip=None):
+            value, is_scalar = self.process_value(value)
+            if self.vmin is None or self.vmax is None:
+                self.autoscale_None(value)
+            if self.vmin > self.vmax:
+                raise ValueError("vmin must be less or equal to vmax")
+            if self.vmin == self.vmax:
+                return np.full_like(value, 0)
+            if clip is None:
+                clip = self.clip
+            if clip:
+                value = np.clip(value, self.vmin, self.vmax)
+            t_value = self._trf.transform(value).reshape(np.shape(value))
+            t_vmin, t_vmax = self._trf.transform([self.vmin, self.vmax])
+            if not np.isfinite([t_vmin, t_vmax]).all():
+                raise ValueError("Invalid vmin or vmax")
+            t_value -= t_vmin
+            t_value /= (t_vmax - t_vmin)
+            t_value = np.ma.masked_invalid(t_value, copy=False)
+            return t_value[0] if is_scalar else t_value
+
+        def inverse(self, value):
+            if not self.scaled():
+                raise ValueError("Not invertible until scaled")
+            if self.vmin > self.vmax:
+                raise ValueError("vmin must be less or equal to vmax")
+            t_vmin, t_vmax = self._trf.transform([self.vmin, self.vmax])
+            if not np.isfinite([t_vmin, t_vmax]).all():
+                raise ValueError("Invalid vmin or vmax")
+            value, is_scalar = self.process_value(value)
+            rescaled = value * (t_vmax - t_vmin)
+            rescaled += t_vmin
+            value = (self._trf
+                     .inverted()
+                     .transform(rescaled)
+                     .reshape(np.shape(value)))
+            return value[0] if is_scalar else value
+
+        def autoscale_None(self, A):
+            # i.e. A[np.isfinite(...)], but also for non-array A's
+            in_trf_domain = np.extract(np.isfinite(self._trf.transform(A)), A)
+            if in_trf_domain.size == 0:
+                in_trf_domain = np.ma.masked
+            return super().autoscale_None(in_trf_domain)
+
+    if base_norm_cls is Normalize:
+        Norm.__name__ = f"{scale_cls.__name__}Norm"
+        Norm.__qualname__ = f"{scale_cls.__qualname__}Norm"
+    else:
+        Norm.__name__ = base_norm_cls.__name__
+        Norm.__qualname__ = base_norm_cls.__qualname__
+    Norm.__module__ = base_norm_cls.__module__
+    Norm.__doc__ = base_norm_cls.__doc__
+
+    return Norm
+
+
+def _create_empty_object_of_class(cls):
+    return cls.__new__(cls)
+
+
+def _picklable_norm_constructor(*args):
+    return _create_empty_object_of_class(_make_norm_from_scale(*args))
+
+
+@make_norm_from_scale(
+    scale.FuncScale,
+    init=lambda functions, vmin=None, vmax=None, clip=False: None)
+class FuncNorm(Normalize):
+    """
+    Arbitrary normalization using functions for the forward and inverse.
+
+    Parameters
+    ----------
+    functions : (callable, callable)
+        two-tuple of the forward and inverse functions for the normalization.
+        The forward function must be monotonic.
+
+        Both functions must have the signature ::
+
+           def forward(values: array-like) -> array-like
+
+    vmin, vmax : float or None
+        If *vmin* and/or *vmax* is not given, they are initialized from the
+        minimum and maximum value, respectively, of the first input
+        processed; i.e., ``__call__(A)`` calls ``autoscale_None(A)``.
+
+    clip : bool, default: False
+        Determines the behavior for mapping values outside the range
+        ``[vmin, vmax]``.
 
+        If clipping is off, values outside the range ``[vmin, vmax]`` are also
+        transformed by the function, resulting in values outside ``[0, 1]``.
+        This behavior is usually desirable, as colormaps can mark these *under*
+        and *over* values with specific colors.
 
+        If clipping is on, values below *vmin* are mapped to 0 and values above
+        *vmax* are mapped to 1. Such values become indistinguishable from
+        regular boundary values, which may cause misinterpretation of the data.
+    """
+
+
+LogNorm = make_norm_from_scale(
+    functools.partial(scale.LogScale, nonpositive="mask"))(Normalize)
+LogNorm.__name__ = LogNorm.__qualname__ = "LogNorm"
+LogNorm.__doc__ = "Normalize a given value to the 0-1 range on a log scale."
+
+
+@make_norm_from_scale(
+    scale.SymmetricalLogScale,
+    init=lambda linthresh, linscale=1., vmin=None, vmax=None, clip=False, *,
+                base=10: None)
 class SymLogNorm(Normalize):
     """
     The symmetrical logarithmic scale is logarithmic in both the
@@ -1049,118 +2930,101 @@ class SymLogNorm(Normalize):
     need to have a range around zero that is linear.  The parameter
     *linthresh* allows the user to specify the size of this range
     (-*linthresh*, *linthresh*).
-    """
-    def __init__(self,  linthresh, linscale=1.0,
-                 vmin=None, vmax=None, clip=False):
-        """
-        *linthresh*:
-        The range within which the plot is linear (to
-        avoid having the plot go to infinity around zero).
-
-        *linscale*:
-        This allows the linear range (-*linthresh* to *linthresh*)
-        to be stretched relative to the logarithmic range.  Its
-        value is the number of decades to use for each half of the
-        linear range.  For example, when *linscale* == 1.0 (the
-        default), the space used for the positive and negative
-        halves of the linear range will be equal to one decade in
-        the logarithmic range. Defaults to 1.
-        """
-        Normalize.__init__(self, vmin, vmax, clip)
-        self.linthresh = float(linthresh)
-        self._linscale_adj = (linscale / (1.0 - np.e ** -1))
 
-    def __call__(self, value, clip=None):
-        if clip is None:
-            clip = self.clip
+    Parameters
+    ----------
+    linthresh : float
+        The range within which the plot is linear (to avoid having the plot
+        go to infinity around zero).
+    linscale : float, default: 1
+        This allows the linear range (-*linthresh* to *linthresh*) to be
+        stretched relative to the logarithmic range. Its value is the
+        number of decades to use for each half of the linear range. For
+        example, when *linscale* == 1.0 (the default), the space used for
+        the positive and negative halves of the linear range will be equal
+        to one decade in the logarithmic range.
+    base : float, default: 10
+    """
 
-        result, is_scalar = self.process_value(value)
-        self.autoscale_None(result)
-        vmin, vmax = self.vmin, self.vmax
+    @property
+    def linthresh(self):
+        return self._scale.linthresh
 
-        if vmin > vmax:
-            raise ValueError("minvalue must be less than or equal to maxvalue")
-        elif vmin == vmax:
-            result.fill(0)
-        else:
-            if clip:
-                mask = ma.getmask(result)
-                result = ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                  mask=mask)
-            # in-place equivalent of above can be much faster
-            resdat = self._transform(result.data)
-            resdat -= self._lower
-            resdat /= (self._upper - self._lower)
+    @linthresh.setter
+    def linthresh(self, value):
+        self._scale.linthresh = value
 
-        if is_scalar:
-            result = result[0]
-        return result
 
-    def _transform(self, a):
-        """
-        Inplace transformation.
-        """
-        masked = np.abs(a) > self.linthresh
-        sign = np.sign(a[masked])
-        log = (self._linscale_adj + np.log(np.abs(a[masked]) / self.linthresh))
-        log *= sign * self.linthresh
-        a[masked] = log
-        a[~masked] *= self._linscale_adj
-        return a
+@make_norm_from_scale(
+    scale.AsinhScale,
+    init=lambda linear_width=1, vmin=None, vmax=None, clip=False: None)
+class AsinhNorm(Normalize):
+    """
+    The inverse hyperbolic sine scale is approximately linear near
+    the origin, but becomes logarithmic for larger positive
+    or negative values. Unlike the `SymLogNorm`, the transition between
+    these linear and logarithmic regions is smooth, which may reduce
+    the risk of visual artifacts.
 
-    def _inv_transform(self, a):
-        """
-        Inverse inplace Transformation.
-        """
-        masked = np.abs(a) > (self.linthresh * self._linscale_adj)
-        sign = np.sign(a[masked])
-        exp = np.exp(sign * a[masked] / self.linthresh - self._linscale_adj)
-        exp *= sign * self.linthresh
-        a[masked] = exp
-        a[~masked] /= self._linscale_adj
-        return a
+    .. note::
 
-    def _transform_vmin_vmax(self):
-        """
-        Calculates vmin and vmax in the transformed system.
-        """
-        vmin, vmax = self.vmin, self.vmax
-        arr = np.array([vmax, vmin]).astype(np.float)
-        self._upper, self._lower = self._transform(arr)
+       This API is provisional and may be revised in the future
+       based on early user feedback.
 
-    def inverse(self, value):
-        if not self.scaled():
-            raise ValueError("Not invertible until scaled")
-        val = ma.asarray(value)
-        val = val * (self._upper - self._lower) + self._lower
-        return self._inv_transform(val)
+    Parameters
+    ----------
+    linear_width : float, default: 1
+        The effective width of the linear region, beyond which
+        the transformation becomes asymptotically logarithmic
+    """
 
-    def autoscale(self, A):
-        """
-        Set *vmin*, *vmax* to min, max of *A*.
-        """
-        self.vmin = ma.min(A)
-        self.vmax = ma.max(A)
-        self._transform_vmin_vmax()
+    @property
+    def linear_width(self):
+        return self._scale.linear_width
 
-    def autoscale_None(self, A):
-        """ autoscale only None-valued vmin or vmax """
-        if self.vmin is not None and self.vmax is not None:
-            pass
-        if self.vmin is None:
-            self.vmin = ma.min(A)
-        if self.vmax is None:
-            self.vmax = ma.max(A)
-        self._transform_vmin_vmax()
+    @linear_width.setter
+    def linear_width(self, value):
+        self._scale.linear_width = value
 
 
 class PowerNorm(Normalize):
-    """
-    Normalize a given value to the ``[0, 1]`` interval with a power-law
-    scaling. This will clip any negative data points to 0.
+    r"""
+    Linearly map a given value to the 0-1 range and then apply
+    a power-law normalization over that range.
+
+    Parameters
+    ----------
+    gamma : float
+        Power law exponent.
+    vmin, vmax : float or None
+        If *vmin* and/or *vmax* is not given, they are initialized from the
+        minimum and maximum value, respectively, of the first input
+        processed; i.e., ``__call__(A)`` calls ``autoscale_None(A)``.
+    clip : bool, default: False
+        Determines the behavior for mapping values outside the range
+        ``[vmin, vmax]``.
+
+        If clipping is off, values above *vmax* are transformed by the power
+        function, resulting in values above 1, and values below *vmin* are linearly
+        transformed resulting in values below 0. This behavior is usually desirable, as
+        colormaps can mark these *under* and *over* values with specific colors.
+
+        If clipping is on, values below *vmin* are mapped to 0 and values above
+        *vmax* are mapped to 1. Such values become indistinguishable from
+        regular boundary values, which may cause misinterpretation of the data.
+
+    Notes
+    -----
+    The normalization formula is
+
+    .. math::
+
+        \left ( \frac{x - v_{min}}{v_{max}  - v_{min}} \right )^{\gamma}
+
+    For input values below *vmin*, gamma is set to one.
     """
     def __init__(self, gamma, vmin=None, vmax=None, clip=False):
-        Normalize.__init__(self, vmin, vmax, clip)
+        super().__init__(vmin, vmax, clip)
         self.gamma = gamma
 
     def __call__(self, value, clip=None):
@@ -1178,15 +3042,15 @@ def __call__(self, value, clip=None):
             result.fill(0)
         else:
             if clip:
-                mask = ma.getmask(result)
-                val = ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                mask=mask)
+                mask = np.ma.getmask(result)
+                result = np.ma.array(np.clip(result.filled(vmax), vmin, vmax),
+                                     mask=mask)
             resdat = result.data
             resdat -= vmin
-            np.power(resdat, gamma, resdat)
-            resdat /= (vmax - vmin) ** gamma
+            resdat /= (vmax - vmin)
+            resdat[resdat > 0] = np.power(resdat[resdat > 0], gamma)
+
             result = np.ma.array(resdat, mask=result.mask, copy=False)
-            result[value < 0] = 0
         if is_scalar:
             result = result[0]
         return result
@@ -1194,133 +3058,170 @@ def __call__(self, value, clip=None):
     def inverse(self, value):
         if not self.scaled():
             raise ValueError("Not invertible until scaled")
-        gamma = self.gamma
-        vmin, vmax = self.vmin, self.vmax
-
-        if cbook.iterable(value):
-            val = ma.asarray(value)
-            return ma.power(value, 1. / gamma) * (vmax - vmin) + vmin
-        else:
-            return pow(value, 1. / gamma) * (vmax - vmin) + vmin
 
-    def autoscale(self, A):
-        """
-        Set *vmin*, *vmax* to min, max of *A*.
-        """
-        self.vmin = ma.min(A)
-        if self.vmin < 0:
-            self.vmin = 0
-            warnings.warn("Power-law scaling on negative values is "
-                          "ill-defined, clamping to 0.")
+        result, is_scalar = self.process_value(value)
 
-        self.vmax = ma.max(A)
+        gamma = self.gamma
+        vmin, vmax = self.vmin, self.vmax
 
-    def autoscale_None(self, A):
-        ' autoscale only None-valued vmin or vmax'
-        if self.vmin is None and np.size(A) > 0:
-            self.vmin = ma.min(A)
-            if self.vmin < 0:
-                self.vmin = 0
-                warnings.warn("Power-law scaling on negative values is "
-                              "ill-defined, clamping to 0.")
+        resdat = result.data
+        resdat[resdat > 0] = np.power(resdat[resdat > 0], 1 / gamma)
+        resdat *= (vmax - vmin)
+        resdat += vmin
 
-        if self.vmax is None and np.size(A) > 0:
-            self.vmax = ma.max(A)
+        result = np.ma.array(resdat, mask=result.mask, copy=False)
+        if is_scalar:
+            result = result[0]
+        return result
 
 
 class BoundaryNorm(Normalize):
     """
     Generate a colormap index based on discrete intervals.
 
-    Unlike :class:`Normalize` or :class:`LogNorm`,
-    :class:`BoundaryNorm` maps values to integers instead of to the
-    interval 0-1.
-
-    Mapping to the 0-1 interval could have been done via
-    piece-wise linear interpolation, but using integers seems
-    simpler, and reduces the number of conversions back and forth
-    between integer and floating point.
+    Unlike `Normalize` or `LogNorm`, `BoundaryNorm` maps values to integers
+    instead of to the interval 0-1.
     """
-    def __init__(self, boundaries, ncolors, clip=False):
-        """
-        *boundaries*
-            a monotonically increasing sequence
-        *ncolors*
-            number of colors in the colormap to be used
-
-        If::
 
-            b[i] <= v < b[i+1]
+    # Mapping to the 0-1 interval could have been done via piece-wise linear
+    # interpolation, but using integers seems simpler, and reduces the number
+    # of conversions back and forth between int and float.
 
-        then v is mapped to color j;
-        as i varies from 0 to len(boundaries)-2,
-        j goes from 0 to ncolors-1.
+    def __init__(self, boundaries, ncolors, clip=False, *, extend='neither'):
+        """
+        Parameters
+        ----------
+        boundaries : array-like
+            Monotonically increasing sequence of at least 2 bin edges:  data
+            falling in the n-th bin will be mapped to the n-th color.
+
+        ncolors : int
+            Number of colors in the colormap to be used.
+
+        clip : bool, optional
+            If clip is ``True``, out of range values are mapped to 0 if they
+            are below ``boundaries[0]`` or mapped to ``ncolors - 1`` if they
+            are above ``boundaries[-1]``.
+
+            If clip is ``False``, out of range values are mapped to -1 if
+            they are below ``boundaries[0]`` or mapped to *ncolors* if they are
+            above ``boundaries[-1]``. These are then converted to valid indices
+            by `Colormap.__call__`.
+
+        extend : {'neither', 'both', 'min', 'max'}, default: 'neither'
+            Extend the number of bins to include one or both of the
+            regions beyond the boundaries.  For example, if ``extend``
+            is 'min', then the color to which the region between the first
+            pair of boundaries is mapped will be distinct from the first
+            color in the colormap, and by default a
+            `~matplotlib.colorbar.Colorbar` will be drawn with
+            the triangle extension on the left or lower end.
 
-        Out-of-range values are mapped to -1 if low and ncolors
-        if high; these are converted to valid indices by
-        :meth:`Colormap.__call__` .
+        Notes
+        -----
+        If there are fewer bins (including extensions) than colors, then the
+        color index is chosen by linearly interpolating the ``[0, nbins - 1]``
+        range onto the ``[0, ncolors - 1]`` range, effectively skipping some
+        colors in the middle of the colormap.
         """
-        self.clip = clip
-        self.vmin = boundaries[0]
-        self.vmax = boundaries[-1]
+        if clip and extend != 'neither':
+            raise ValueError("'clip=True' is not compatible with 'extend'")
+        super().__init__(vmin=boundaries[0], vmax=boundaries[-1], clip=clip)
         self.boundaries = np.asarray(boundaries)
         self.N = len(self.boundaries)
+        if self.N < 2:
+            raise ValueError("You must provide at least 2 boundaries "
+                             f"(1 region) but you passed in {boundaries!r}")
         self.Ncmap = ncolors
-        if self.N - 1 == self.Ncmap:
-            self._interp = False
-        else:
-            self._interp = True
+        self.extend = extend
+
+        self._scale = None  # don't use the default scale.
+
+        self._n_regions = self.N - 1  # number of colors needed
+        self._offset = 0
+        if extend in ('min', 'both'):
+            self._n_regions += 1
+            self._offset = 1
+        if extend in ('max', 'both'):
+            self._n_regions += 1
+        if self._n_regions > self.Ncmap:
+            raise ValueError(f"There are {self._n_regions} color bins "
+                             "including extensions, but ncolors = "
+                             f"{ncolors}; ncolors must equal or exceed the "
+                             "number of bins")
 
-    def __call__(self, x, clip=None):
+    def __call__(self, value, clip=None):
+        """
+        This method behaves similarly to `.Normalize.__call__`, except that it
+        returns integers or arrays of int16.
+        """
         if clip is None:
             clip = self.clip
-        x = ma.asarray(x)
-        mask = ma.getmaskarray(x)
-        xx = x.filled(self.vmax + 1)
+
+        xx, is_scalar = self.process_value(value)
+        mask = np.ma.getmaskarray(xx)
+        # Fill masked values a value above the upper boundary
+        xx = np.atleast_1d(xx.filled(self.vmax + 1))
         if clip:
-            np.clip(xx, self.vmin, self.vmax)
-        iret = np.zeros(x.shape, dtype=np.int16)
-        for i, b in enumerate(self.boundaries):
-            iret[xx >= b] = i
-        if self._interp:
-            scalefac = float(self.Ncmap - 1) / (self.N - 2)
-            iret = (iret * scalefac).astype(np.int16)
+            np.clip(xx, self.vmin, self.vmax, out=xx)
+            max_col = self.Ncmap - 1
+        else:
+            max_col = self.Ncmap
+        # this gives us the bins in the lookup table in the range
+        # [0, _n_regions - 1]  (the offset is set in the init)
+        iret = np.digitize(xx, self.boundaries) - 1 + self._offset
+        # if we have more colors than regions, stretch the region
+        # index computed above to full range of the color bins.  This
+        # will make use of the full range (but skip some of the colors
+        # in the middle) such that the first region is mapped to the
+        # first color and the last region is mapped to the last color.
+        if self.Ncmap > self._n_regions:
+            if self._n_regions == 1:
+                # special case the 1 region case, pick the middle color
+                iret[iret == 0] = (self.Ncmap - 1) // 2
+            else:
+                # otherwise linearly remap the values from the region index
+                # to the color index spaces
+                iret = (self.Ncmap - 1) / (self._n_regions - 1) * iret
+        # cast to 16bit integers in all cases
+        iret = iret.astype(np.int16)
         iret[xx < self.vmin] = -1
-        iret[xx >= self.vmax] = self.Ncmap
-        ret = ma.array(iret, mask=mask)
-        if ret.shape == () and not mask:
-            ret = int(ret)  # assume python scalar
+        iret[xx >= self.vmax] = max_col
+        ret = np.ma.array(iret, mask=mask)
+        if is_scalar:
+            ret = int(ret[0])  # assume python scalar
         return ret
 
     def inverse(self, value):
-        return ValueError("BoundaryNorm is not invertible")
+        """
+        Raises
+        ------
+        ValueError
+            BoundaryNorm is not invertible, so calling this method will always
+            raise an error
+        """
+        raise ValueError("BoundaryNorm is not invertible")
 
 
 class NoNorm(Normalize):
     """
-    Dummy replacement for Normalize, for the case where we
-    want to use indices directly in a
-    :class:`~matplotlib.cm.ScalarMappable` .
+    Dummy replacement for `Normalize`, for the case where we want to use
+    indices directly in a `~matplotlib.cm.ScalarMappable`.
     """
     def __call__(self, value, clip=None):
+        if np.iterable(value):
+            return np.ma.array(value)
         return value
 
     def inverse(self, value):
+        if np.iterable(value):
+            return np.ma.array(value)
         return value
 
-# compatibility with earlier class names that violated convention:
-normalize = cbook.deprecated('1.3', alternative='Normalize',
-                             name='normalize',
-                             obj_type='class alias')(Normalize)
-no_norm = cbook.deprecated('1.3', alternative='NoNorm',
-                           name='no_norm',
-                           obj_type='class alias')(NoNorm)
-
 
 def rgb_to_hsv(arr):
     """
-    convert float rgb values (in the range [0, 1]), in a numpy array to hsv
-    values.
+    Convert an array of float RGB values (in the range [0, 1]) to HSV values.
 
     Parameters
     ----------
@@ -1329,29 +3230,40 @@ def rgb_to_hsv(arr):
 
     Returns
     -------
-    hsv : (..., 3) ndarray
-       Colors converted to hsv values in range [0, 1]
+    (..., 3) `~numpy.ndarray`
+       Colors converted to HSV values in range [0, 1]
     """
-    # make sure it is an ndarray
     arr = np.asarray(arr)
 
     # check length of the last dimension, should be _some_ sort of rgb
     if arr.shape[-1] != 3:
         raise ValueError("Last dimension of input array must be 3; "
-                         "shape {shp} was found.".format(shp=arr.shape))
+                         f"shape {arr.shape} was found.")
 
-    in_ndim = arr.ndim
-    if arr.ndim == 1:
-        arr = np.array(arr, ndmin=2)
-
-    # make sure we don't have an int image
-    if arr.dtype.kind in ('iu'):
-        arr = arr.astype(np.float32)
+    in_shape = arr.shape
+    arr = np.array(
+        arr, copy=False,
+        dtype=np.promote_types(arr.dtype, np.float32),  # Don't work on ints.
+        ndmin=2,  # In case input was 1D.
+    )
 
     out = np.zeros_like(arr)
     arr_max = arr.max(-1)
+    # Check if input is in the expected range
+    if np.any(arr_max > 1):
+        raise ValueError(
+            "Input array must be in the range [0, 1]. "
+            f"Found a maximum value of {arr_max.max()}"
+        )
+
+    if arr.min() < 0:
+        raise ValueError(
+            "Input array must be in the range [0, 1]. "
+            f"Found a minimum value of {arr.min()}"
+        )
+
     ipos = arr_max > 0
-    delta = arr.ptp(-1)
+    delta = np.ptp(arr, -1)
     s = np.zeros_like(delta)
     s[ipos] = delta[ipos] / arr_max[ipos]
     ipos = delta > 0
@@ -1369,16 +3281,12 @@ def rgb_to_hsv(arr):
     out[..., 1] = s
     out[..., 2] = arr_max
 
-    if in_ndim == 1:
-        out.shape = (3,)
-
-    return out
+    return out.reshape(in_shape)
 
 
 def hsv_to_rgb(hsv):
     """
-    convert hsv values in a numpy array to rgb values
-    all values assumed to be in range [0, 1]
+    Convert HSV values to RGB.
 
     Parameters
     ----------
@@ -1387,26 +3295,22 @@ def hsv_to_rgb(hsv):
 
     Returns
     -------
-    rgb : (..., 3) ndarray
+    (..., 3) `~numpy.ndarray`
        Colors converted to RGB values in range [0, 1]
     """
-        # make sure it is an ndarray
     hsv = np.asarray(hsv)
 
     # check length of the last dimension, should be _some_ sort of rgb
     if hsv.shape[-1] != 3:
         raise ValueError("Last dimension of input array must be 3; "
-                            "shape {shp} was found.".format(shp=hsv.shape))
+                         f"shape {hsv.shape} was found.")
 
-    # if we got pased a 1D array, try to treat as
-    # a single color and reshape as needed
-    in_ndim = hsv.ndim
-    if in_ndim == 1:
-        hsv = np.array(hsv, ndmin=2)
-
-    # make sure we don't have an int image
-    if hsv.dtype.kind in ('iu'):
-        hsv = hsv.astype(np.float32)
+    in_shape = hsv.shape
+    hsv = np.array(
+        hsv, copy=False,
+        dtype=np.promote_types(hsv.dtype, np.float32),  # Don't work on ints.
+        ndmin=2,  # In case input was 1D.
+    )
 
     h = hsv[..., 0]
     s = hsv[..., 1]
@@ -1416,7 +3320,7 @@ def hsv_to_rgb(hsv):
     g = np.empty_like(h)
     b = np.empty_like(h)
 
-    i = (h * 6.0).astype(np.int)
+    i = (h * 6.0).astype(int)
     f = (h * 6.0) - i
     p = v * (1.0 - s)
     q = v * (1.0 - s * f)
@@ -1457,28 +3361,32 @@ def hsv_to_rgb(hsv):
     g[idx] = v[idx]
     b[idx] = v[idx]
 
-    rgb = np.empty_like(hsv)
-    rgb[..., 0] = r
-    rgb[..., 1] = g
-    rgb[..., 2] = b
+    rgb = np.stack([r, g, b], axis=-1)
+
+    return rgb.reshape(in_shape)
 
-    if in_ndim == 1:
-        rgb.shape = (3, )
 
-    return rgb
+def _vector_magnitude(arr):
+    # things that don't work here:
+    #  * np.linalg.norm: drops mask from ma.array
+    #  * np.sum: drops mask from ma.array unless entire vector is masked
+    sum_sq = 0
+    for i in range(arr.shape[-1]):
+        sum_sq += arr[..., i, np.newaxis] ** 2
+    return np.sqrt(sum_sq)
 
 
-class LightSource(object):
+class LightSource:
     """
     Create a light source coming from the specified azimuth and elevation.
     Angles are in degrees, with the azimuth measured
     clockwise from north and elevation up from the zero plane of the surface.
 
-    The :meth:`shade` is used to produce "shaded" rgb values for a data array.
-    :meth:`shade_rgb` can be used to combine an rgb image with
-    The :meth:`shade_rgb`
-    The :meth:`hillshade` produces an illumination map of a surface.
+    `shade` is used to produce "shaded" RGB values for a data array.
+    `shade_rgb` can be used to combine an RGB image with an elevation map.
+    `hillshade` produces an illumination map of a surface.
     """
+
     def __init__(self, azdeg=315, altdeg=45, hsv_min_val=0, hsv_max_val=1,
                  hsv_min_sat=1, hsv_max_sat=0):
         """
@@ -1488,20 +3396,32 @@ def __init__(self, azdeg=315, altdeg=45, hsv_min_val=0, hsv_max_val=1,
 
         Parameters
         ----------
-        azdeg : number, optional
+        azdeg : float, default: 315 degrees (from the northwest)
             The azimuth (0-360, degrees clockwise from North) of the light
-            source. Defaults to 315 degrees (from the northwest).
-        altdeg : number, optional
+            source.
+        altdeg : float, default: 45 degrees
             The altitude (0-90, degrees up from horizontal) of the light
-            source.  Defaults to 45 degrees from horizontal.
+            source.
+        hsv_min_val : number, default: 0
+            The minimum value ("v" in "hsv") that the *intensity* map can shift the
+            output image to.
+        hsv_max_val : number, default: 1
+            The maximum value ("v" in "hsv") that the *intensity* map can shift the
+            output image to.
+        hsv_min_sat : number, default: 1
+            The minimum saturation value that the *intensity* map can shift the output
+            image to.
+        hsv_max_sat : number, default: 0
+            The maximum saturation value that the *intensity* map can shift the output
+            image to.
 
         Notes
         -----
         For backwards compatibility, the parameters *hsv_min_val*,
         *hsv_max_val*, *hsv_min_sat*, and *hsv_max_sat* may be supplied at
         initialization as well.  However, these parameters will only be used if
-        "blend_mode='hsv'" is passed into :meth:`shade` or :meth:`shade_rgb`.
-        See the documentation for :meth:`blend_hsv` for more details.
+        "blend_mode='hsv'" is passed into `shade` or `shade_rgb`.
+        See the documentation for `blend_hsv` for more details.
         """
         self.azdeg = azdeg
         self.altdeg = altdeg
@@ -1510,27 +3430,37 @@ def __init__(self, azdeg=315, altdeg=45, hsv_min_val=0, hsv_max_val=1,
         self.hsv_min_sat = hsv_min_sat
         self.hsv_max_sat = hsv_max_sat
 
+    @property
+    def direction(self):
+        """The unit vector direction towards the light source."""
+        # Azimuth is in degrees clockwise from North. Convert to radians
+        # counterclockwise from East (mathematical notation).
+        az = np.radians(90 - self.azdeg)
+        alt = np.radians(self.altdeg)
+        return np.array([
+            np.cos(az) * np.cos(alt),
+            np.sin(az) * np.cos(alt),
+            np.sin(alt)
+        ])
+
     def hillshade(self, elevation, vert_exag=1, dx=1, dy=1, fraction=1.):
         """
-        Calculates the illumination intensity for a surface using the defined
+        Calculate the illumination intensity for a surface using the defined
         azimuth and elevation for the light source.
 
-        Imagine an artificial sun placed at infinity in some azimuth and
-        elevation position illuminating our surface. The parts of the surface
-        that slope toward the sun should brighten while those sides facing away
-        should become darker.
+        This computes the normal vectors for the surface, and then passes them
+        on to `shade_normals`
 
         Parameters
         ----------
-        elevation : array-like
-            A 2d array (or equivalent) of the height values used to generate an
-            illumination map
+        elevation : 2D array-like
+            The height values used to generate an illumination map
         vert_exag : number, optional
             The amount to exaggerate the elevation values by when calculating
             illumination. This can be used either to correct for differences in
             units between the x-y coordinate system and the elevation
-            coordinate system (e.g. decimal degrees vs meters) or to exaggerate
-            or de-emphasize topographic effects.
+            coordinate system (e.g. decimal degrees vs. meters) or to
+            exaggerate or de-emphasize topographic effects.
         dx : number, optional
             The x-spacing (columns) of the input *elevation* grid.
         dy : number, optional
@@ -1541,36 +3471,64 @@ def hillshade(self, elevation, vert_exag=1, dx=1, dy=1, fraction=1.):
             full illumination or shadow (and clipping any values that move
             beyond 0 or 1). Note that this is not visually or mathematically
             the same as vertical exaggeration.
+
         Returns
         -------
-        intensity : ndarray
-            A 2d array of illumination values between 0-1, where 0 is
+        `~numpy.ndarray`
+            A 2D array of illumination values between 0-1, where 0 is
             completely in shadow and 1 is completely illuminated.
         """
-        # Azimuth is in degrees clockwise from North. Convert to radians
-        # counterclockwise from East (mathematical notation).
-        az = np.radians(90 - self.azdeg)
-        alt = np.radians(self.altdeg)
 
         # Because most image and raster GIS data has the first row in the array
         # as the "top" of the image, dy is implicitly negative.  This is
         # consistent to what `imshow` assumes, as well.
         dy = -dy
 
-        #-- Calculate the intensity from the illumination angle
-        dy, dx = np.gradient(vert_exag * elevation, dy, dx)
-        # The aspect is defined by the _downhill_ direction, thus the negative
-        aspect = np.arctan2(-dy, -dx)
-        slope = 0.5 * np.pi - np.arctan(np.hypot(dx, dy))
-        intensity = (np.sin(alt) * np.sin(slope)
-                     + np.cos(alt) * np.cos(slope)
-                     * np.cos(az - aspect))
+        # compute the normal vectors from the partial derivatives
+        e_dy, e_dx = np.gradient(vert_exag * elevation, dy, dx)
+
+        # .view is to keep subclasses
+        normal = np.empty(elevation.shape + (3,)).view(type(elevation))
+        normal[..., 0] = -e_dx
+        normal[..., 1] = -e_dy
+        normal[..., 2] = 1
+        normal /= _vector_magnitude(normal)
+
+        return self.shade_normals(normal, fraction)
+
+    def shade_normals(self, normals, fraction=1.):
+        """
+        Calculate the illumination intensity for the normal vectors of a
+        surface using the defined azimuth and elevation for the light source.
+
+        Imagine an artificial sun placed at infinity in some azimuth and
+        elevation position illuminating our surface. The parts of the surface
+        that slope toward the sun should brighten while those sides facing away
+        should become darker.
+
+        Parameters
+        ----------
+        fraction : number, optional
+            Increases or decreases the contrast of the hillshade.  Values
+            greater than one will cause intermediate values to move closer to
+            full illumination or shadow (and clipping any values that move
+            beyond 0 or 1). Note that this is not visually or mathematically
+            the same as vertical exaggeration.
+
+        Returns
+        -------
+        `~numpy.ndarray`
+            A 2D array of illumination values between 0-1, where 0 is
+            completely in shadow and 1 is completely illuminated.
+        """
+
+        intensity = normals.dot(self.direction)
 
-        #-- Apply contrast stretch
+        # Apply contrast stretch
         imin, imax = intensity.min(), intensity.max()
         intensity *= fraction
 
-        #-- Rescale to 0-1, keeping range before contrast stretch
+        # Rescale to 0-1, keeping range before contrast stretch
         # If constant slope, keep relative scaling (i.e. flat should be 0.5,
         # fully occluded 0, etc.)
         if (imax - imin) > 1e-6:
@@ -1580,11 +3538,11 @@ def hillshade(self, elevation, vert_exag=1, dx=1, dy=1, fraction=1.):
             # visually appears better than a "hard" clip.
             intensity -= imin
             intensity /= (imax - imin)
-        intensity = np.clip(intensity, 0, 1, intensity)
+        intensity = np.clip(intensity, 0, 1)
 
         return intensity
 
-    def shade(self, data, cmap, norm=None, blend_mode='hsv', vmin=None,
+    def shade(self, data, cmap, norm=None, blend_mode='overlay', vmin=None,
               vmax=None, vert_exag=1, dx=1, dy=1, fraction=1, **kwargs):
         """
         Combine colormapped data values with an illumination intensity map
@@ -1592,32 +3550,32 @@ def shade(self, data, cmap, norm=None, blend_mode='hsv', vmin=None,
 
         Parameters
         ----------
-        data : array-like
-            A 2d array (or equivalent) of the height values used to generate a
-            shaded map.
-        cmap : `~matplotlib.colors.Colormap` instance
+        data : 2D array-like
+            The height values used to generate a shaded map.
+        cmap : `~matplotlib.colors.Colormap`
             The colormap used to color the *data* array. Note that this must be
             a `~matplotlib.colors.Colormap` instance.  For example, rather than
-            passing in `cmap='gist_earth'`, use
-            `cmap=plt.get_cmap('gist_earth')` instead.
+            passing in ``cmap='gist_earth'``, use
+            ``cmap=plt.get_cmap('gist_earth')`` instead.
         norm : `~matplotlib.colors.Normalize` instance, optional
             The normalization used to scale values before colormapping. If
             None, the input will be linearly scaled between its min and max.
         blend_mode : {'hsv', 'overlay', 'soft'} or callable, optional
-            The type of blending used to combine the colormapped data values
-            with the illumination intensity.  For backwards compatibility, this
-            defaults to "hsv". Note that for most topographic surfaces,
+            The type of blending used to combine the colormapped data
+            values with the illumination intensity.  Default is
+            "overlay".  Note that for most topographic surfaces,
             "overlay" or "soft" appear more visually realistic. If a
-            user-defined function is supplied, it is expected to combine an
-            MxNx3 RGB array of floats (ranging 0 to 1) with an MxNx1 hillshade
-            array (also 0 to 1).  (Call signature `func(rgb, illum, **kwargs)`)
-            Additional kwargs supplied to this function will be passed on to
-            the *blend_mode* function.
-        vmin : scalar or None, optional
+            user-defined function is supplied, it is expected to
+            combine an (M, N, 3) RGB array of floats (ranging 0 to 1) with
+            an (M, N, 1) hillshade array (also 0 to 1).  (Call signature
+            ``func(rgb, illum, **kwargs)``) Additional kwargs supplied
+            to this function will be passed on to the *blend_mode*
+            function.
+        vmin : float or None, optional
             The minimum value used in colormapping *data*. If *None* the
             minimum value in *data* is used. If *norm* is specified, then this
             argument will be ignored.
-        vmax : scalar or None, optional
+        vmax : float or None, optional
             The maximum value used in colormapping *data*. If *None* the
             maximum value in *data* is used. If *norm* is specified, then this
             argument will be ignored.
@@ -1625,8 +3583,8 @@ def shade(self, data, cmap, norm=None, blend_mode='hsv', vmin=None,
             The amount to exaggerate the elevation values by when calculating
             illumination. This can be used either to correct for differences in
             units between the x-y coordinate system and the elevation
-            coordinate system (e.g. decimal degrees vs meters) or to exaggerate
-            or de-emphasize topography.
+            coordinate system (e.g. decimal degrees vs. meters) or to
+            exaggerate or de-emphasize topography.
         dx : number, optional
             The x-spacing (columns) of the input *elevation* grid.
         dy : number, optional
@@ -1637,12 +3595,13 @@ def shade(self, data, cmap, norm=None, blend_mode='hsv', vmin=None,
             full illumination or shadow (and clipping any values that move
             beyond 0 or 1). Note that this is not visually or mathematically
             the same as vertical exaggeration.
-        Additional kwargs are passed on to the *blend_mode* function.
+        **kwargs
+            Additional kwargs are passed on to the *blend_mode* function.
 
         Returns
         -------
-        rgba : ndarray
-            An MxNx4 array of floats ranging between 0-1.
+        `~numpy.ndarray`
+            An (M, N, 4) array of floats ranging between 0-1.
         """
         if vmin is None:
             vmin = data.min()
@@ -1662,18 +3621,15 @@ def shade(self, data, cmap, norm=None, blend_mode='hsv', vmin=None,
     def shade_rgb(self, rgb, elevation, fraction=1., blend_mode='hsv',
                   vert_exag=1, dx=1, dy=1, **kwargs):
         """
-        Take the input RGB array (ny*nx*3) adjust their color values
-        to given the impression of a shaded relief map with a
-        specified light source using the elevation (ny*nx).
-        A new RGB array ((ny*nx*3)) is returned.
+        Use this light source to adjust the colors of the *rgb* input array to
+        give the impression of a shaded relief map with the given *elevation*.
 
         Parameters
         ----------
         rgb : array-like
-            An MxNx3 RGB array, assumed to be in the range of 0 to 1.
+            An (M, N, 3) RGB array, assumed to be in the range of 0 to 1.
         elevation : array-like
-            A 2d array (or equivalent) of the height values used to generate a
-            shaded map.
+            An (M, N) array of the height values used to generate a shaded map.
         fraction : number
             Increases or decreases the contrast of the hillshade.  Values
             greater than one will cause intermediate values to move closer to
@@ -1686,26 +3642,28 @@ def shade_rgb(self, rgb, elevation, fraction=1., blend_mode='hsv',
             defaults to "hsv". Note that for most topographic surfaces,
             "overlay" or "soft" appear more visually realistic. If a
             user-defined function is supplied, it is expected to combine an
-            MxNx3 RGB array of floats (ranging 0 to 1) with an MxNx1 hillshade
-            array (also 0 to 1).  (Call signature `func(rgb, illum, **kwargs)`)
+            (M, N, 3) RGB array of floats (ranging 0 to 1) with an (M, N, 1)
+            hillshade array (also 0 to 1).  (Call signature
+            ``func(rgb, illum, **kwargs)``)
             Additional kwargs supplied to this function will be passed on to
             the *blend_mode* function.
         vert_exag : number, optional
             The amount to exaggerate the elevation values by when calculating
             illumination. This can be used either to correct for differences in
             units between the x-y coordinate system and the elevation
-            coordinate system (e.g. decimal degrees vs meters) or to exaggerate
-            or de-emphasize topography.
+            coordinate system (e.g. decimal degrees vs. meters) or to
+            exaggerate or de-emphasize topography.
         dx : number, optional
             The x-spacing (columns) of the input *elevation* grid.
         dy : number, optional
             The y-spacing (rows) of the input *elevation* grid.
-        Additional kwargs are passed on to the *blend_mode* function.
+        **kwargs
+            Additional kwargs are passed on to the *blend_mode* function.
 
         Returns
         -------
-        shaded_rgb : ndarray
-            An MxNx3 array of floats ranging between 0-1.
+        `~numpy.ndarray`
+            An (m, n, 3) array of floats ranging between 0-1.
         """
         # Calculate the "hillshade" intensity.
         intensity = self.hillshade(elevation, vert_exag, dx, dy, fraction)
@@ -1722,12 +3680,12 @@ def shade_rgb(self, rgb, elevation, fraction=1., blend_mode='hsv',
         else:
             try:
                 blend = blend_mode(rgb, intensity, **kwargs)
-            except TypeError:
-                msg = '"blend_mode" must be callable or one of {}'
-                raise ValueError(msg.format(lookup.keys))
+            except TypeError as err:
+                raise ValueError('"blend_mode" must be callable or one of '
+                                 f'{lookup.keys}') from err
 
         # Only apply result where hillshade intensity isn't masked
-        if hasattr(intensity, 'mask'):
+        if np.ma.is_masked(intensity):
             mask = intensity.mask[..., 0]
             for i in range(3):
                 blend[..., i][mask] = rgb[..., i][mask]
@@ -1742,36 +3700,38 @@ def blend_hsv(self, rgb, intensity, hsv_max_sat=None, hsv_max_val=None,
         relief map with a specified light source.  RGBA values are returned,
         which can then be used to plot the shaded image with imshow.
 
-        The color of the resulting image will be darkened by moving the (s,v)
-        values (in hsv colorspace) toward (hsv_min_sat, hsv_min_val) in the
-        shaded regions, or lightened by sliding (s,v) toward (hsv_max_sat
+        The color of the resulting image will be darkened by moving the (s, v)
+        values (in HSV colorspace) toward (hsv_min_sat, hsv_min_val) in the
+        shaded regions, or lightened by sliding (s, v) toward (hsv_max_sat,
         hsv_max_val) in regions that are illuminated.  The default extremes are
         chose so that completely shaded points are nearly black (s = 1, v = 0)
         and completely illuminated points are nearly white (s = 0, v = 1).
 
         Parameters
         ----------
-        rgb : ndarray
-            An MxNx3 RGB array of floats ranging from 0 to 1 (color image).
-        intensity : ndarray
-            An MxNx1 array of floats ranging from 0 to 1 (grayscale image).
+        rgb : `~numpy.ndarray`
+            An (M, N, 3) RGB array of floats ranging from 0 to 1 (color image).
+        intensity : `~numpy.ndarray`
+            An (M, N, 1) array of floats ranging from 0 to 1 (grayscale image).
         hsv_max_sat : number, optional
-            The maximum saturation value that the *intensity* map can shift the
-            output image to. Defaults to 1.
+            The maximum saturation value that the *intensity* map can shift the output
+            image to. If not provided, use the value provided upon initialization.
         hsv_min_sat : number, optional
-            The minimum saturation value that the *intensity* map can shift the
-            output image to. Defaults to 0.
+            The minimum saturation value that the *intensity* map can shift the output
+            image to. If not provided, use the value provided upon initialization.
         hsv_max_val : number, optional
-            The maximum value ("v" in "hsv") that the *intensity* map can shift
-            the output image to. Defaults to 1.
-        hsv_min_val: number, optional
-            The minimum value ("v" in "hsv") that the *intensity* map can shift
-            the output image to. Defaults to 0.
+            The maximum value ("v" in "hsv") that the *intensity* map can shift the
+            output image to. If not provided, use the value provided upon
+            initialization.
+        hsv_min_val : number, optional
+            The minimum value ("v" in "hsv") that the *intensity* map can shift the
+            output image to. If not provided, use the value provided upon
+            initialization.
 
         Returns
         -------
-        rgb : ndarray
-            An MxNx3 RGB array representing the combined images.
+        `~numpy.ndarray`
+            An (M, N, 3) RGB array representing the combined images.
         """
         # Backward compatibility...
         if hsv_max_sat is None:
@@ -1787,69 +3747,59 @@ def blend_hsv(self, rgb, intensity, hsv_max_sat=None, hsv_max_val=None,
         intensity = intensity[..., 0]
         intensity = 2 * intensity - 1
 
-        # convert to rgb, then rgb to hsv
+        # Convert to rgb, then rgb to hsv
         hsv = rgb_to_hsv(rgb[:, :, 0:3])
-
-        # modify hsv values to simulate illumination.
-        hsv[:, :, 1] = np.where(np.logical_and(np.abs(hsv[:, :, 1]) > 1.e-10,
-                                               intensity > 0),
-                                ((1. - intensity) * hsv[:, :, 1] +
-                                 intensity * hsv_max_sat),
-                                hsv[:, :, 1])
-
-        hsv[:, :, 2] = np.where(intensity > 0,
-                                ((1. - intensity) * hsv[:, :, 2] +
-                                 intensity * hsv_max_val),
-                                hsv[:, :, 2])
-
-        hsv[:, :, 1] = np.where(np.logical_and(np.abs(hsv[:, :, 1]) > 1.e-10,
-                                               intensity < 0),
-                                ((1. + intensity) * hsv[:, :, 1] -
-                                 intensity * hsv_min_sat),
-                                hsv[:, :, 1])
-        hsv[:, :, 2] = np.where(intensity < 0,
-                                ((1. + intensity) * hsv[:, :, 2] -
-                                 intensity * hsv_min_val),
-                                hsv[:, :, 2])
-        hsv[:, :, 1:] = np.where(hsv[:, :, 1:] < 0., 0, hsv[:, :, 1:])
-        hsv[:, :, 1:] = np.where(hsv[:, :, 1:] > 1., 1, hsv[:, :, 1:])
-        # convert modified hsv back to rgb.
+        hue, sat, val = np.moveaxis(hsv, -1, 0)
+
+        # Modify hsv values (in place) to simulate illumination.
+        # putmask(A, mask, B) <=> A[mask] = B[mask]
+        np.putmask(sat, (np.abs(sat) > 1.e-10) & (intensity > 0),
+                   (1 - intensity) * sat + intensity * hsv_max_sat)
+        np.putmask(sat, (np.abs(sat) > 1.e-10) & (intensity < 0),
+                   (1 + intensity) * sat - intensity * hsv_min_sat)
+        np.putmask(val, intensity > 0,
+                   (1 - intensity) * val + intensity * hsv_max_val)
+        np.putmask(val, intensity < 0,
+                   (1 + intensity) * val - intensity * hsv_min_val)
+        np.clip(hsv[:, :, 1:], 0, 1, out=hsv[:, :, 1:])
+
+        # Convert modified hsv back to rgb.
         return hsv_to_rgb(hsv)
 
     def blend_soft_light(self, rgb, intensity):
         """
-        Combines an rgb image with an intensity map using "soft light"
-        blending.  Uses the "pegtop" formula.
+        Combine an RGB image with an intensity map using "soft light" blending,
+        using the "pegtop" formula.
 
         Parameters
         ----------
-        rgb : ndarray
-            An MxNx3 RGB array of floats ranging from 0 to 1 (color image).
-        intensity : ndarray
-            An MxNx1 array of floats ranging from 0 to 1 (grayscale image).
+        rgb : `~numpy.ndarray`
+            An (M, N, 3) RGB array of floats ranging from 0 to 1 (color image).
+        intensity : `~numpy.ndarray`
+            An (M, N, 1) array of floats ranging from 0 to 1 (grayscale image).
 
         Returns
         -------
-        rgb : ndarray
-            An MxNx3 RGB array representing the combined images.
+        `~numpy.ndarray`
+            An (M, N, 3) RGB array representing the combined images.
         """
         return 2 * intensity * rgb + (1 - 2 * intensity) * rgb**2
 
     def blend_overlay(self, rgb, intensity):
         """
-        Combines an rgb image with an intensity map using "overlay" blending.
+        Combine an RGB image with an intensity map using "overlay" blending.
 
         Parameters
         ----------
-        rgb : ndarray
-            An MxNx3 RGB array of floats ranging from 0 to 1 (color image).
-        intensity : ndarray
-            An MxNx1 array of floats ranging from 0 to 1 (grayscale image).
+        rgb : `~numpy.ndarray`
+            An (M, N, 3) RGB array of floats ranging from 0 to 1 (color image).
+        intensity : `~numpy.ndarray`
+            An (M, N, 1) array of floats ranging from 0 to 1 (grayscale image).
 
         Returns
         -------
-        rgb : ndarray
-            An MxNx3 RGB array representing the combined images.
+        ndarray
+            An (M, N, 3) RGB array representing the combined images.
         """
         low = 2 * intensity * rgb
         high = 1 - 2 * (1 - intensity) * (1 - rgb)
@@ -1864,59 +3814,43 @@ def from_levels_and_colors(levels, colors, extend='neither'):
     Parameters
     ----------
     levels : sequence of numbers
-        The quantization levels used to construct the :class:`BoundaryNorm`.
-        Values ``v`` are quantizized to level ``i`` if
-        ``lev[i] <= v < lev[i+1]``.
+        The quantization levels used to construct the `BoundaryNorm`.
+        Value ``v`` is quantized to level ``i`` if ``lev[i] <= v < lev[i+1]``.
     colors : sequence of colors
-        The fill color to use for each level. If `extend` is "neither" there
-        must be ``n_level - 1`` colors. For an `extend` of "min" or "max" add
-        one extra color, and for an `extend` of "both" add two colors.
+        The fill color to use for each level. If *extend* is "neither" there
+        must be ``n_level - 1`` colors. For an *extend* of "min" or "max" add
+        one extra color, and for an *extend* of "both" add two colors.
     extend : {'neither', 'min', 'max', 'both'}, optional
         The behaviour when a value falls out of range of the given levels.
-        See :func:`~matplotlib.pyplot.contourf` for details.
+        See `~.Axes.contourf` for details.
 
     Returns
     -------
-    (cmap, norm) : tuple containing a :class:`Colormap` and a \
-                   :class:`Normalize` instance
+    cmap : `~matplotlib.colors.Colormap`
+    norm : `~matplotlib.colors.Normalize`
     """
-    colors_i0 = 0
-    colors_i1 = None
-
-    if extend == 'both':
-        colors_i0 = 1
-        colors_i1 = -1
-        extra_colors = 2
-    elif extend == 'min':
-        colors_i0 = 1
-        extra_colors = 1
-    elif extend == 'max':
-        colors_i1 = -1
-        extra_colors = 1
-    elif extend == 'neither':
-        extra_colors = 0
-    else:
-        raise ValueError('Unexpected value for extend: {0!r}'.format(extend))
+    slice_map = {
+        'both': slice(1, -1),
+        'min': slice(1, None),
+        'max': slice(0, -1),
+        'neither': slice(0, None),
+    }
+    _api.check_in_list(slice_map, extend=extend)
+    color_slice = slice_map[extend]
 
     n_data_colors = len(levels) - 1
-    n_expected_colors = n_data_colors + extra_colors
-    if len(colors) != n_expected_colors:
-        raise ValueError('With extend == {0!r} and n_levels == {1!r} expected'
-                         ' n_colors == {2!r}. Got {3!r}.'
-                         ''.format(extend, len(levels), n_expected_colors,
-                                   len(colors)))
-
-    cmap = ListedColormap(colors[colors_i0:colors_i1], N=n_data_colors)
-
-    if extend in ['min', 'both']:
-        cmap.set_under(colors[0])
-    else:
-        cmap.set_under('none')
-
-    if extend in ['max', 'both']:
-        cmap.set_over(colors[-1])
-    else:
-        cmap.set_over('none')
+    n_extend_colors = color_slice.start - (color_slice.stop or 0)  # 0, 1 or 2
+    n_expected = n_data_colors + n_extend_colors
+    if len(colors) != n_expected:
+        raise ValueError(
+            f'Expected {n_expected} colors ({n_data_colors} colors for {len(levels)} '
+            f'levels, and {n_extend_colors} colors for extend == {extend!r}), '
+            f'but got {len(colors)}')
+
+    data_colors = colors[color_slice]
+    under_color = colors[0] if extend in ['min', 'both'] else 'none'
+    over_color = colors[-1] if extend in ['max', 'both'] else 'none'
+    cmap = ListedColormap(data_colors, under=under_color, over=over_color)
 
     cmap.colorbar_extend = extend
 
diff --git a/lib/matplotlib/colors.pyi b/lib/matplotlib/colors.pyi
new file mode 100644
index 000000000000..eadd759bcaa3
--- /dev/null
+++ b/lib/matplotlib/colors.pyi
@@ -0,0 +1,465 @@
+from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence
+from matplotlib import cbook, scale
+import re
+
+from typing import Any, Literal, overload
+from .typing import ColorType
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+# Explicitly export colors dictionaries which are imported in the impl
+BASE_COLORS: dict[str, ColorType]
+CSS4_COLORS: dict[str, ColorType]
+TABLEAU_COLORS: dict[str, ColorType]
+XKCD_COLORS: dict[str, ColorType]
+
+class _ColorMapping(dict[str, ColorType]):
+    cache: dict[tuple[ColorType, float | None], tuple[float, float, float, float]]
+    def __init__(self, mapping) -> None: ...
+    def __setitem__(self, key, value) -> None: ...
+    def __delitem__(self, key) -> None: ...
+
+def get_named_colors_mapping() -> _ColorMapping: ...
+
+class ColorSequenceRegistry(Mapping):
+    def __init__(self) -> None: ...
+    def __getitem__(self, item: str) -> list[ColorType]: ...
+    def __iter__(self) -> Iterator[str]: ...
+    def __len__(self) -> int: ...
+    def register(self, name: str, color_list: Iterable[ColorType]) -> None: ...
+    def unregister(self, name: str) -> None: ...
+
+_color_sequences: ColorSequenceRegistry = ...
+
+def is_color_like(c: Any) -> bool: ...
+def same_color(c1: ColorType, c2: ColorType) -> bool: ...
+def to_rgba(
+    c: ColorType, alpha: float | None = ...
+) -> tuple[float, float, float, float]: ...
+def to_rgba_array(
+    c: ColorType | ArrayLike, alpha: float | ArrayLike | None = ...
+) -> np.ndarray: ...
+def to_rgb(c: ColorType) -> tuple[float, float, float]: ...
+def to_hex(c: ColorType, keep_alpha: bool = ...) -> str: ...
+
+cnames: dict[str, ColorType]
+hexColorPattern: re.Pattern
+rgb2hex = to_hex
+hex2color = to_rgb
+
+class ColorConverter:
+    colors: _ColorMapping
+    cache: dict[tuple[ColorType, float | None], tuple[float, float, float, float]]
+    @staticmethod
+    def to_rgb(c: ColorType) -> tuple[float, float, float]: ...
+    @staticmethod
+    def to_rgba(
+        c: ColorType, alpha: float | None = ...
+    ) -> tuple[float, float, float, float]: ...
+    @staticmethod
+    def to_rgba_array(
+        c: ColorType | ArrayLike, alpha: float | ArrayLike | None = ...
+    ) -> np.ndarray: ...
+
+colorConverter: ColorConverter
+
+class Colormap:
+    name: str
+    N: int
+    colorbar_extend: bool
+    def __init__(
+            self,
+            name: str,
+            N: int = ...,
+            *,
+            bad: ColorType | None = ...,
+            under: ColorType | None = ...,
+            over: ColorType | None = ...
+    ) -> None: ...
+    @overload
+    def __call__(
+        self, X: Sequence[float] | np.ndarray, alpha: ArrayLike | None = ..., bytes: bool = ...
+    ) -> np.ndarray: ...
+    @overload
+    def __call__(
+        self, X: float, alpha: float | None = ..., bytes: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    @overload
+    def __call__(
+        self, X: ArrayLike, alpha: ArrayLike | None = ..., bytes: bool = ...
+    ) -> tuple[float, float, float, float] | np.ndarray: ...
+    def __copy__(self) -> Colormap: ...
+    def __eq__(self, other: object) -> bool: ...
+    def get_bad(self) -> np.ndarray: ...
+    def set_bad(self, color: ColorType = ..., alpha: float | None = ...) -> None: ...
+    def get_under(self) -> np.ndarray: ...
+    def set_under(self, color: ColorType = ..., alpha: float | None = ...) -> None: ...
+    def get_over(self) -> np.ndarray: ...
+    def set_over(self, color: ColorType = ..., alpha: float | None = ...) -> None: ...
+    def set_extremes(
+        self,
+        *,
+        bad: ColorType | None = ...,
+        under: ColorType | None = ...,
+        over: ColorType | None = ...
+    ) -> None: ...
+    def with_extremes(
+        self,
+        *,
+        bad: ColorType | None = ...,
+        under: ColorType | None = ...,
+        over: ColorType | None = ...
+    ) -> Colormap: ...
+    def with_alpha(self, alpha: float) -> Colormap: ...
+    def is_gray(self) -> bool: ...
+    def resampled(self, lutsize: int) -> Colormap: ...
+    def reversed(self, name: str | None = ...) -> Colormap: ...
+    def _repr_html_(self) -> str: ...
+    def _repr_png_(self) -> bytes: ...
+    def copy(self) -> Colormap: ...
+
+class LinearSegmentedColormap(Colormap):
+    monochrome: bool
+    def __init__(
+        self,
+        name: str,
+        segmentdata: dict[
+            Literal["red", "green", "blue", "alpha"], Sequence[tuple[float, ...]]
+        ],
+        N: int = ...,
+        gamma: float = ...,
+        *,
+        bad: ColorType | None = ...,
+        under: ColorType | None = ...,
+        over: ColorType | None = ...,
+    ) -> None: ...
+    def set_gamma(self, gamma: float) -> None: ...
+    @staticmethod
+    def from_list(
+        name: str, colors: ArrayLike | Sequence[tuple[float, ColorType]], N: int = ..., gamma: float = ...,
+        *, bad: ColorType | None = ..., under: ColorType | None = ..., over: ColorType | None = ...,
+    ) -> LinearSegmentedColormap: ...
+    def resampled(self, lutsize: int) -> LinearSegmentedColormap: ...
+    def reversed(self, name: str | None = ...) -> LinearSegmentedColormap: ...
+
+class ListedColormap(Colormap):
+    colors: ArrayLike | ColorType
+    def __init__(
+        self, colors: ArrayLike | ColorType, name: str = ..., N: int | None = ...,
+        *, bad: ColorType | None = ..., under: ColorType | None = ..., over: ColorType | None = ...
+    ) -> None: ...
+    @property
+    def monochrome(self) -> bool: ...
+    def resampled(self, lutsize: int) -> ListedColormap: ...
+    def reversed(self, name: str | None = ...) -> ListedColormap: ...
+
+class MultivarColormap:
+    name: str
+    n_variates: int
+    def __init__(self, colormaps: list[Colormap], combination_mode: Literal['sRGB_add', 'sRGB_sub'], name: str = ...) -> None: ...
+    @overload
+    def __call__(
+        self, X: Sequence[Sequence[float]] | np.ndarray, alpha: ArrayLike | None = ..., bytes: bool = ..., clip: bool = ...
+    ) -> np.ndarray: ...
+    @overload
+    def __call__(
+        self, X: Sequence[float], alpha: float | None = ..., bytes: bool = ..., clip: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    @overload
+    def __call__(
+        self, X: ArrayLike, alpha: ArrayLike | None = ..., bytes: bool = ..., clip: bool = ...
+    ) -> tuple[float, float, float, float] | np.ndarray: ...
+    def copy(self) -> MultivarColormap: ...
+    def __copy__(self) -> MultivarColormap: ...
+    def __eq__(self, other: Any) -> bool: ...
+    def __getitem__(self, item: int) -> Colormap: ...
+    def __iter__(self) -> Iterator[Colormap]: ...
+    def __len__(self) -> int: ...
+    def get_bad(self) -> np.ndarray: ...
+    def resampled(self, lutshape: Sequence[int | None]) -> MultivarColormap: ...
+    def with_extremes(
+        self,
+        *,
+        bad: ColorType | None = ...,
+        under: Sequence[ColorType] | None = ...,
+        over: Sequence[ColorType] | None = ...
+    ) -> MultivarColormap: ...
+    @property
+    def combination_mode(self) -> str: ...
+    def _repr_html_(self) -> str: ...
+    def _repr_png_(self) -> bytes: ...
+
+class BivarColormap:
+    name: str
+    N: int
+    M: int
+    n_variates: int
+    def __init__(
+        self, N: int = ..., M: int | None = ..., shape: Literal['square', 'circle', 'ignore', 'circleignore'] = ...,
+        origin: Sequence[float] = ..., name: str = ...
+    ) -> None: ...
+    @overload
+    def __call__(
+        self, X: Sequence[Sequence[float]] | np.ndarray, alpha: ArrayLike | None = ..., bytes: bool = ...
+    ) -> np.ndarray: ...
+    @overload
+    def __call__(
+        self, X: Sequence[float], alpha: float | None = ..., bytes: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    @overload
+    def __call__(
+        self, X: ArrayLike, alpha: ArrayLike | None = ..., bytes: bool = ...
+    ) -> tuple[float, float, float, float] | np.ndarray: ...
+    @property
+    def lut(self) -> np.ndarray: ...
+    @property
+    def shape(self) -> str: ...
+    @property
+    def origin(self) -> tuple[float, float]: ...
+    def copy(self) -> BivarColormap: ...
+    def __copy__(self) -> BivarColormap: ...
+    def __getitem__(self, item: int) -> Colormap: ...
+    def __eq__(self, other: Any) -> bool: ...
+    def get_bad(self) -> np.ndarray: ...
+    def get_outside(self) -> np.ndarray: ...
+    def resampled(self, lutshape: Sequence[int | None], transposed: bool = ...) -> BivarColormap: ...
+    def transposed(self) -> BivarColormap: ...
+    def reversed(self, axis_0: bool = ..., axis_1: bool = ...) -> BivarColormap: ...
+    def with_extremes(
+        self,
+        *,
+        bad: ColorType | None = ...,
+        outside: ColorType | None = ...,
+        shape: str | None = ...,
+        origin: None | Sequence[float] = ...,
+    ) -> MultivarColormap: ...
+    def _repr_html_(self) -> str: ...
+    def _repr_png_(self) -> bytes: ...
+
+class SegmentedBivarColormap(BivarColormap):
+    def __init__(
+        self, patch: np.ndarray, N: int = ..., shape: Literal['square', 'circle', 'ignore', 'circleignore'] = ...,
+        origin: Sequence[float] = ..., name: str = ...
+    ) -> None: ...
+
+class BivarColormapFromImage(BivarColormap):
+    def __init__(
+        self, lut: np.ndarray, shape: Literal['square', 'circle', 'ignore', 'circleignore'] = ...,
+        origin: Sequence[float] = ..., name: str = ...
+    ) -> None: ...
+
+class Normalize:
+    callbacks: cbook.CallbackRegistry
+    def __init__(
+        self, vmin: float | None = ..., vmax: float | None = ..., clip: bool = ...
+    ) -> None: ...
+    @property
+    def vmin(self) -> float | None: ...
+    @vmin.setter
+    def vmin(self, value: float | None) -> None: ...
+    @property
+    def vmax(self) -> float | None: ...
+    @vmax.setter
+    def vmax(self, value: float | None) -> None: ...
+    @property
+    def clip(self) -> bool: ...
+    @clip.setter
+    def clip(self, value: bool) -> None: ...
+    @staticmethod
+    def process_value(value: ArrayLike) -> tuple[np.ma.MaskedArray, bool]: ...
+    @overload
+    def __call__(self, value: float, clip: bool | None = ...) -> float: ...
+    @overload
+    def __call__(self, value: np.ndarray, clip: bool | None = ...) -> np.ma.MaskedArray: ...
+    @overload
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    @overload
+    def inverse(self, value: float) -> float: ...
+    @overload
+    def inverse(self, value: np.ndarray) -> np.ma.MaskedArray: ...
+    @overload
+    def inverse(self, value: ArrayLike) -> ArrayLike: ...
+    def autoscale(self, A: ArrayLike) -> None: ...
+    def autoscale_None(self, A: ArrayLike) -> None: ...
+    def scaled(self) -> bool: ...
+
+class TwoSlopeNorm(Normalize):
+    def __init__(
+        self, vcenter: float, vmin: float | None = ..., vmax: float | None = ...
+    ) -> None: ...
+    @property
+    def vcenter(self) -> float: ...
+    @vcenter.setter
+    def vcenter(self, value: float) -> None: ...
+    def autoscale_None(self, A: ArrayLike) -> None: ...
+
+class CenteredNorm(Normalize):
+    def __init__(
+        self, vcenter: float = ..., halfrange: float | None = ..., clip: bool = ...
+    ) -> None: ...
+    @property
+    def vcenter(self) -> float: ...
+    @vcenter.setter
+    def vcenter(self, vcenter: float) -> None: ...
+    @property
+    def halfrange(self) -> float: ...
+    @halfrange.setter
+    def halfrange(self, halfrange: float) -> None: ...
+
+@overload
+def make_norm_from_scale(
+    scale_cls: type[scale.ScaleBase],
+    base_norm_cls: type[Normalize],
+    *,
+    init: Callable | None = ...
+) -> type[Normalize]: ...
+@overload
+def make_norm_from_scale(
+    scale_cls: type[scale.ScaleBase],
+    base_norm_cls: None = ...,
+    *,
+    init: Callable | None = ...
+) -> Callable[[type[Normalize]], type[Normalize]]: ...
+
+class FuncNorm(Normalize):
+    def __init__(
+            self,
+            functions: tuple[Callable, Callable],
+            vmin: float | None = ...,
+            vmax: float | None = ...,
+            clip: bool = ...,
+    ) -> None: ...
+class LogNorm(Normalize): ...
+
+class SymLogNorm(Normalize):
+    def __init__(
+            self,
+            linthresh: float,
+            linscale: float = ...,
+            vmin: float | None = ...,
+            vmax: float | None = ...,
+            clip: bool = ...,
+            *,
+            base: float = ...,
+    ) -> None: ...
+    @property
+    def linthresh(self) -> float: ...
+    @linthresh.setter
+    def linthresh(self, value: float) -> None: ...
+
+class AsinhNorm(Normalize):
+    def __init__(
+        self,
+        linear_width: float = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        clip: bool = ...,
+    ) -> None: ...
+    @property
+    def linear_width(self) -> float: ...
+    @linear_width.setter
+    def linear_width(self, value: float) -> None: ...
+
+class PowerNorm(Normalize):
+    gamma: float
+    def __init__(
+        self,
+        gamma: float,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        clip: bool = ...,
+    ) -> None: ...
+
+class BoundaryNorm(Normalize):
+    boundaries: np.ndarray
+    N: int
+    Ncmap: int
+    extend: Literal["neither", "both", "min", "max"]
+    def __init__(
+        self,
+        boundaries: ArrayLike,
+        ncolors: int,
+        clip: bool = ...,
+        *,
+        extend: Literal["neither", "both", "min", "max"] = ...
+    ) -> None: ...
+
+class NoNorm(Normalize): ...
+
+def rgb_to_hsv(arr: ArrayLike) -> np.ndarray: ...
+def hsv_to_rgb(hsv: ArrayLike) -> np.ndarray: ...
+
+class LightSource:
+    azdeg: float
+    altdeg: float
+    hsv_min_val: float
+    hsv_max_val: float
+    hsv_min_sat: float
+    hsv_max_sat: float
+    def __init__(
+        self,
+        azdeg: float = ...,
+        altdeg: float = ...,
+        hsv_min_val: float = ...,
+        hsv_max_val: float = ...,
+        hsv_min_sat: float = ...,
+        hsv_max_sat: float = ...,
+    ) -> None: ...
+    @property
+    def direction(self) -> np.ndarray: ...
+    def hillshade(
+        self,
+        elevation: ArrayLike,
+        vert_exag: float = ...,
+        dx: float = ...,
+        dy: float = ...,
+        fraction: float = ...,
+    ) -> np.ndarray: ...
+    def shade_normals(
+        self, normals: np.ndarray, fraction: float = ...
+    ) -> np.ndarray: ...
+    def shade(
+        self,
+        data: ArrayLike,
+        cmap: Colormap,
+        norm: Normalize | None = ...,
+        blend_mode: Literal["hsv", "overlay", "soft"] | Callable = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        vert_exag: float = ...,
+        dx: float = ...,
+        dy: float = ...,
+        fraction: float = ...,
+        **kwargs
+    ) -> np.ndarray: ...
+    def shade_rgb(
+        self,
+        rgb: ArrayLike,
+        elevation: ArrayLike,
+        fraction: float = ...,
+        blend_mode: Literal["hsv", "overlay", "soft"] | Callable = ...,
+        vert_exag: float = ...,
+        dx: float = ...,
+        dy: float = ...,
+        **kwargs
+    ) -> np.ndarray: ...
+    def blend_hsv(
+        self,
+        rgb: ArrayLike,
+        intensity: ArrayLike,
+        hsv_max_sat: float | None = ...,
+        hsv_max_val: float | None = ...,
+        hsv_min_val: float | None = ...,
+        hsv_min_sat: float | None = ...,
+    ) -> ArrayLike: ...
+    def blend_soft_light(
+        self, rgb: np.ndarray, intensity: np.ndarray
+    ) -> np.ndarray: ...
+    def blend_overlay(self, rgb: np.ndarray, intensity: np.ndarray) -> np.ndarray: ...
+
+def from_levels_and_colors(
+    levels: Sequence[float],
+    colors: Sequence[ColorType],
+    extend: Literal["neither", "min", "max", "both"] = ...,
+) -> tuple[ListedColormap, BoundaryNorm]: ...
diff --git a/lib/matplotlib/compat/subprocess.py b/lib/matplotlib/compat/subprocess.py
deleted file mode 100644
index 9b5b516a68c2..000000000000
--- a/lib/matplotlib/compat/subprocess.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""
-A replacement wrapper around the subprocess module, with a number of
-work-arounds:
-- Provides the check_output function (which subprocess only provides from Python
-  2.7 onwards).
-- Provides a stub implementation of subprocess members on Google App Engine
-  (which are missing in subprocess).
-
-Instead of importing subprocess, other modules should use this as follows:
-
-from matplotlib.compat import subprocess
-
-This module is safe to import from anywhere within matplotlib.
-"""
-
-from __future__ import absolute_import    # Required to import subprocess
-from __future__ import print_function
-
-import subprocess
-
-__all__ = ['Popen', 'PIPE', 'STDOUT', 'check_output', 'CalledProcessError']
-
-
-if hasattr(subprocess, 'Popen'):
-    Popen = subprocess.Popen
-    # Assume that it also has the other constants.
-    PIPE = subprocess.PIPE
-    STDOUT = subprocess.STDOUT
-    CalledProcessError = subprocess.CalledProcessError
-else:
-    # In restricted environments (such as Google App Engine), these are
-    # non-existent. Replace them with dummy versions that always raise OSError.
-    def Popen(*args, **kwargs):
-        raise OSError("subprocess.Popen is not supported")
-    PIPE = -1
-    STDOUT = -2
-    # There is no need to catch CalledProcessError. These stubs cannot raise
-    # it. None in an except clause will simply not match any exceptions.
-    CalledProcessError = None
-
-
-def _check_output(*popenargs, **kwargs):
-    r"""Run command with arguments and return its output as a byte
-    string.
-
-    If the exit code was non-zero it raises a CalledProcessError.  The
-    CalledProcessError object will have the return code in the
-    returncode
-    attribute and output in the output attribute.
-
-    The arguments are the same as for the Popen constructor.  Example::
-
-    >>> check_output(["ls", "-l", "/dev/null"])
-    'crw-rw-rw- 1 root root 1, 3 Oct 18  2007 /dev/null\n'
-
-    The stdout argument is not allowed as it is used internally.
-    To capture standard error in the result, use stderr=STDOUT.::
-
-    >>> check_output(["/bin/sh", "-c",
-    ...               "ls -l non_existent_file ; exit 0"],
-    ...              stderr=STDOUT)
-    'ls: non_existent_file: No such file or directory\n'
-    """
-    if 'stdout' in kwargs:
-        raise ValueError('stdout argument not allowed, it will be overridden.')
-    process = Popen(stdout=PIPE, *popenargs, **kwargs)
-    output, unused_err = process.communicate()
-    retcode = process.poll()
-    if retcode:
-        cmd = kwargs.get("args")
-        if cmd is None:
-            cmd = popenargs[0]
-        raise subprocess.CalledProcessError(retcode, cmd, output=output)
-    return output
-
-
-# python2.7's subprocess provides a check_output method
-if hasattr(subprocess, 'check_output'):
-    check_output = subprocess.check_output
-else:
-    check_output = _check_output
diff --git a/lib/matplotlib/container.py b/lib/matplotlib/container.py
index 4603e7e7bee0..b6dd43724f34 100644
--- a/lib/matplotlib/container.py
+++ b/lib/matplotlib/container.py
@@ -1,129 +1,141 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib.cbook as cbook
+from matplotlib import cbook
+from matplotlib.artist import Artist
 
 
 class Container(tuple):
     """
     Base class for containers.
+
+    Containers are classes that collect semantically related Artists such as
+    the bars of a bar plot.
     """
 
     def __repr__(self):
-        return "<Container object of %d artists>" % (len(self))
+        return f"<{type(self).__name__} object of {len(self)} artists>"
 
-    def __new__(cls, *kl, **kwargs):
-        return tuple.__new__(cls, kl[0])
+    def __new__(cls, *args, **kwargs):
+        return tuple.__new__(cls, args[0])
 
     def __init__(self, kl, label=None):
-
-        self.eventson = False  # fire events only if eventson
-        self._oid = 0  # an observer id
-        self._propobservers = {}  # a dict from oids to funcs
-
+        self._callbacks = cbook.CallbackRegistry(signals=["pchanged"])
         self._remove_method = None
-
-        self.set_label(label)
-
-    def set_remove_method(self, f):
-        self._remove_method = f
+        self._label = str(label) if label is not None else None
 
     def remove(self):
-        for c in self:
-            c.remove()
-
+        for c in cbook.flatten(
+                self, scalarp=lambda x: isinstance(x, Artist)):
+            if c is not None:
+                c.remove()
         if self._remove_method:
             self._remove_method(self)
 
-    def __getstate__(self):
-        d = self.__dict__.copy()
-        # remove the unpicklable remove method, this will get re-added on load
-        # (by the axes) if the artist lives on an axes.
-        d['_remove_method'] = None
-        return d
+    def get_children(self):
+        return [child for child in cbook.flatten(self) if child is not None]
 
-    def get_label(self):
-        """
-        Get the label used for this artist in the legend.
-        """
-        return self._label
+    get_label = Artist.get_label
+    set_label = Artist.set_label
+    add_callback = Artist.add_callback
+    remove_callback = Artist.remove_callback
+    pchanged = Artist.pchanged
 
-    def set_label(self, s):
-        """
-        Set the label to *s* for auto legend.
 
-        ACCEPTS: string or anything printable with '%s' conversion.
-        """
-        if s is not None:
-            self._label = '%s' % (s, )
-        else:
-            self._label = None
-        self.pchanged()
+class BarContainer(Container):
+    """
+    Container for the artists of bar plots (e.g. created by `.Axes.bar`).
 
-    def add_callback(self, func):
-        """
-        Adds a callback function that will be called whenever one of
-        the :class:`Artist`'s properties changes.
+    The container can be treated as a tuple of the *patches* themselves.
+    Additionally, you can access these and further parameters by the
+    attributes.
 
-        Returns an *id* that is useful for removing the callback with
-        :meth:`remove_callback` later.
-        """
-        oid = self._oid
-        self._propobservers[oid] = func
-        self._oid += 1
-        return oid
+    Attributes
+    ----------
+    patches : list of :class:`~matplotlib.patches.Rectangle`
+        The artists of the bars.
 
-    def remove_callback(self, oid):
-        """
-        Remove a callback based on its *id*.
+    errorbar : None or :class:`~matplotlib.container.ErrorbarContainer`
+        A container for the error bar artists if error bars are present.
+        *None* otherwise.
 
-        .. seealso::
+    datavalues : None or array-like
+        The underlying data values corresponding to the bars.
 
-            :meth:`add_callback`
-               For adding callbacks
+    orientation : {'vertical', 'horizontal'}, default: None
+        If 'vertical', the bars are assumed to be vertical.
+        If 'horizontal', the bars are assumed to be horizontal.
 
-        """
-        try:
-            del self._propobservers[oid]
-        except KeyError:
-            pass
+    """
 
-    def pchanged(self):
-        """
-        Fire an event when property changed, calling all of the
-        registered callbacks.
-        """
-        for oid, func in list(six.iteritems(self._propobservers)):
-            func(self)
+    def __init__(self, patches, errorbar=None, *, datavalues=None,
+                 orientation=None, **kwargs):
+        self.patches = patches
+        self.errorbar = errorbar
+        self.datavalues = datavalues
+        self.orientation = orientation
+        super().__init__(patches, **kwargs)
 
-    def get_children(self):
-        return list(cbook.flatten(self))
 
+class ErrorbarContainer(Container):
+    """
+    Container for the artists of error bars (e.g. created by `.Axes.errorbar`).
 
-class BarContainer(Container):
+    The container can be treated as the *lines* tuple itself.
+    Additionally, you can access these and further parameters by the
+    attributes.
 
-    def __init__(self, patches, errorbar=None, **kwargs):
-        self.patches = patches
-        self.errorbar = errorbar
-        Container.__init__(self, patches, **kwargs)
+    Attributes
+    ----------
+    lines : tuple
+        Tuple of ``(data_line, caplines, barlinecols)``.
 
+        - data_line : A `~matplotlib.lines.Line2D` instance of x, y plot markers
+          and/or line.
+        - caplines : A tuple of `~matplotlib.lines.Line2D` instances of the error
+          bar caps.
+        - barlinecols : A tuple of `~matplotlib.collections.LineCollection` with the
+          horizontal and vertical error ranges.
 
-class ErrorbarContainer(Container):
+    has_xerr, has_yerr : bool
+        ``True`` if the errorbar has x/y errors.
+
+    """
 
     def __init__(self, lines, has_xerr=False, has_yerr=False, **kwargs):
         self.lines = lines
         self.has_xerr = has_xerr
         self.has_yerr = has_yerr
-        Container.__init__(self, lines, **kwargs)
+        super().__init__(lines, **kwargs)
 
 
 class StemContainer(Container):
+    """
+    Container for the artists created in a :meth:`.Axes.stem` plot.
+
+    The container can be treated like a namedtuple ``(markerline, stemlines,
+    baseline)``.
 
+    Attributes
+    ----------
+    markerline : `~matplotlib.lines.Line2D`
+        The artist of the markers at the stem heads.
+
+    stemlines : `~matplotlib.collections.LineCollection`
+        The artists of the vertical lines for all stems.
+
+    baseline : `~matplotlib.lines.Line2D`
+        The artist of the horizontal baseline.
+    """
     def __init__(self, markerline_stemlines_baseline, **kwargs):
+        """
+        Parameters
+        ----------
+        markerline_stemlines_baseline : tuple
+            Tuple of ``(markerline, stemlines, baseline)``.
+            ``markerline`` contains the `.Line2D` of the markers,
+            ``stemlines`` is a `.LineCollection` of the main lines,
+            ``baseline`` is the `.Line2D` of the baseline.
+        """
         markerline, stemlines, baseline = markerline_stemlines_baseline
         self.markerline = markerline
         self.stemlines = stemlines
         self.baseline = baseline
-        Container.__init__(self, markerline_stemlines_baseline, **kwargs)
+        super().__init__(markerline_stemlines_baseline, **kwargs)
diff --git a/lib/matplotlib/container.pyi b/lib/matplotlib/container.pyi
new file mode 100644
index 000000000000..c66e7ba4b4c3
--- /dev/null
+++ b/lib/matplotlib/container.pyi
@@ -0,0 +1,56 @@
+from matplotlib.artist import Artist
+from matplotlib.lines import Line2D
+from matplotlib.collections import LineCollection
+from matplotlib.patches import Rectangle
+
+from collections.abc import Callable
+from typing import Any, Literal
+from numpy.typing import ArrayLike
+
+class Container(tuple):
+    def __new__(cls, *args, **kwargs): ...
+    def __init__(self, kl, label: Any | None = ...) -> None: ...
+    def remove(self) -> None: ...
+    def get_children(self) -> list[Artist]: ...
+    def get_label(self) -> str | None: ...
+    def set_label(self, s: Any) -> None: ...
+    def add_callback(self, func: Callable[[Artist], Any]) -> int: ...
+    def remove_callback(self, oid: int) -> None: ...
+    def pchanged(self) -> None: ...
+
+class BarContainer(Container):
+    patches: list[Rectangle]
+    errorbar: None | ErrorbarContainer
+    datavalues: None | ArrayLike
+    orientation: None | Literal["vertical", "horizontal"]
+    def __init__(
+        self,
+        patches: list[Rectangle],
+        errorbar: ErrorbarContainer | None = ...,
+        *,
+        datavalues: ArrayLike | None = ...,
+        orientation: Literal["vertical", "horizontal"] | None = ...,
+        **kwargs
+    ) -> None: ...
+
+class ErrorbarContainer(Container):
+    lines: tuple[Line2D, tuple[Line2D, ...], tuple[LineCollection, ...]]
+    has_xerr: bool
+    has_yerr: bool
+    def __init__(
+        self,
+        lines: tuple[Line2D, tuple[Line2D, ...], tuple[LineCollection, ...]],
+        has_xerr: bool = ...,
+        has_yerr: bool = ...,
+        **kwargs
+    ) -> None: ...
+
+class StemContainer(Container):
+    markerline: Line2D
+    stemlines: LineCollection
+    baseline: Line2D
+    def __init__(
+        self,
+        markerline_stemlines_baseline: tuple[Line2D, LineCollection, Line2D],
+        **kwargs
+    ) -> None: ...
diff --git a/lib/matplotlib/contour.py b/lib/matplotlib/contour.py
index acf0b086aff6..8c5c9b566441 100644
--- a/lib/matplotlib/contour.py
+++ b/lib/matplotlib/contour.py
@@ -1,638 +1,470 @@
 """
-These are  classes to support contour plotting and
-labelling for the axes class
+Classes to support contour plotting and labelling for the Axes class.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import xrange
+from contextlib import ExitStack
+import functools
+import math
+from numbers import Integral
 
-import warnings
-import matplotlib as mpl
 import numpy as np
 from numpy import ma
-import matplotlib._cntr as _cntr
-import matplotlib.path as mpath
+
+import matplotlib as mpl
+from matplotlib import _api, _docstring
+from matplotlib.backend_bases import MouseButton
+from matplotlib.lines import Line2D
+from matplotlib.path import Path
+from matplotlib.text import Text
 import matplotlib.ticker as ticker
 import matplotlib.cm as cm
-import matplotlib.colors as colors
+import matplotlib.colors as mcolors
 import matplotlib.collections as mcoll
 import matplotlib.font_manager as font_manager
-import matplotlib.text as text
 import matplotlib.cbook as cbook
-import matplotlib.mlab as mlab
-import matplotlib.mathtext as mathtext
 import matplotlib.patches as mpatches
-import matplotlib.texmanager as texmanager
-import matplotlib.transforms as mtrans
-
-# Import needed for adding manual selection capability to clabel
-from matplotlib.blocking_input import BlockingContourLabeler
-
-# We can't use a single line collection for contour because a line
-# collection can have only a single line style, and we want to be able to have
-# dashed negative contours, for example, and solid positive contours.
-# We could use a single polygon collection for filled contours, but it
-# seems better to keep line and filled contours similar, with one collection
-# per level.
-
-
-class ClabelText(text.Text):
-    """
-    Unlike the ordinary text, the get_rotation returns an updated
-    angle in the pixel coordinate assuming that the input rotation is
-    an angle in data coordinate (or whatever transform set).
-    """
-    def get_rotation(self):
-        angle = text.Text.get_rotation(self)
-        trans = self.get_transform()
-        x, y = self.get_position()
-        new_angles = trans.transform_angles(np.array([angle]),
-                                            np.array([[x, y]]))
-        return new_angles[0]
-
-
-class ContourLabeler(object):
-    """Mixin to provide labelling capability to ContourSet"""
-
-    def clabel(self, *args, **kwargs):
+import matplotlib.transforms as mtransforms
+from . import artist
+
+
+def _contour_labeler_event_handler(cs, inline, inline_spacing, event):
+    canvas = cs.axes.get_figure(root=True).canvas
+    is_button = event.name == "button_press_event"
+    is_key = event.name == "key_press_event"
+    # Quit (even if not in infinite mode; this is consistent with
+    # MATLAB and sometimes quite useful, but will require the user to
+    # test how many points were actually returned before using data).
+    if (is_button and event.button == MouseButton.MIDDLE
+            or is_key and event.key in ["escape", "enter"]):
+        canvas.stop_event_loop()
+    # Pop last click.
+    elif (is_button and event.button == MouseButton.RIGHT
+          or is_key and event.key in ["backspace", "delete"]):
+        # Unfortunately, if one is doing inline labels, then there is currently
+        # no way to fix the broken contour - once humpty-dumpty is broken, he
+        # can't be put back together.  In inline mode, this does nothing.
+        if not inline:
+            cs.pop_label()
+            canvas.draw()
+    # Add new click.
+    elif (is_button and event.button == MouseButton.LEFT
+          # On macOS/gtk, some keys return None.
+          or is_key and event.key is not None):
+        if cs.axes.contains(event)[0]:
+            cs.add_label_near(event.x, event.y, transform=False,
+                              inline=inline, inline_spacing=inline_spacing)
+            canvas.draw()
+
+
+class ContourLabeler:
+    """Mixin to provide labelling capability to `.ContourSet`."""
+
+    def clabel(self, levels=None, *,
+               fontsize=None, inline=True, inline_spacing=5, fmt=None,
+               colors=None, use_clabeltext=False, manual=False,
+               rightside_up=True, zorder=None):
         """
         Label a contour plot.
 
-        Call signature::
-
-          clabel(cs, **kwargs)
+        Adds labels to line contours in this `.ContourSet` (which inherits from
+        this mixin class).
 
-        Adds labels to line contours in *cs*, where *cs* is a
-        :class:`~matplotlib.contour.ContourSet` object returned by
-        contour.
+        Parameters
+        ----------
+        levels : array-like, optional
+            A list of level values, that should be labeled. The list must be
+            a subset of ``cs.levels``. If not given, all levels are labeled.
 
-        ::
+        fontsize : str or float, default: :rc:`font.size`
+            Size in points or relative size e.g., 'smaller', 'x-large'.
+            See `.Text.set_size` for accepted string values.
 
-          clabel(cs, v, **kwargs)
+        colors : :mpltype:`color` or colors or None, default: None
+            The label colors:
 
-        only labels contours listed in *v*.
+            - If *None*, the color of each label matches the color of
+              the corresponding contour.
 
-        Optional keyword arguments:
+            - If one string color, e.g., *colors* = 'r' or *colors* =
+              'red', all labels will be plotted in this color.
 
-          *fontsize*:
-            size in points or relative size e.g., 'smaller', 'x-large'
+            - If a tuple of colors (string, float, RGB, etc), different labels
+              will be plotted in different colors in the order specified.
 
-          *colors*:
-            - if *None*, the color of each label matches the color of
-              the corresponding contour
+        inline : bool, default: True
+            If ``True`` the underlying contour is removed where the label is
+            placed.
 
-            - if one string color, e.g., *colors* = 'r' or *colors* =
-              'red', all labels will be plotted in this color
+        inline_spacing : float, default: 5
+            Space in pixels to leave on each side of label when placing inline.
 
-            - if a tuple of matplotlib color args (string, float, rgb, etc),
-              different labels will be plotted in different colors in the order
-              specified
+            This spacing will be exact for labels at locations where the
+            contour is straight, less so for labels on curved contours.
 
-          *inline*:
-            controls whether the underlying contour is removed or
-            not. Default is *True*.
+        fmt : `.Formatter` or str or callable or dict, optional
+            How the levels are formatted:
 
-          *inline_spacing*:
-            space in pixels to leave on each side of label when
-            placing inline.  Defaults to 5.  This spacing will be
-            exact for labels at locations where the contour is
-            straight, less so for labels on curved contours.
+            - If a `.Formatter`, it is used to format all levels at once, using
+              its `.Formatter.format_ticks` method.
+            - If a str, it is interpreted as a %-style format string.
+            - If a callable, it is called with one level at a time and should
+              return the corresponding label.
+            - If a dict, it should directly map levels to labels.
 
-          *fmt*:
-            a format string for the label. Default is '%1.3f'
-            Alternatively, this can be a dictionary matching contour
-            levels with arbitrary strings to use for each contour level
-            (i.e., fmt[level]=string), or it can be any callable, such
-            as a :class:`~matplotlib.ticker.Formatter` instance, that
-            returns a string when called with a numeric contour level.
+            The default is to use a standard `.ScalarFormatter`.
 
-          *manual*:
-            if *True*, contour labels will be placed manually using
-            mouse clicks.  Click the first button near a contour to
+        manual : bool or iterable, default: False
+            If ``True``, contour labels will be placed manually using
+            mouse clicks. Click the first button near a contour to
             add a label, click the second button (or potentially both
-            mouse buttons at once) to finish adding labels.  The third
+            mouse buttons at once) to finish adding labels. The third
             button can be used to remove the last label added, but
-            only if labels are not inline.  Alternatively, the keyboard
+            only if labels are not inline. Alternatively, the keyboard
             can be used to select label locations (enter to end label
             placement, delete or backspace act like the third mouse button,
             and any other key will select a label location).
 
-            *manual* can be an iterable object of x,y tuples. Contour labels
-            will be created as if mouse is clicked at each x,y positions.
+            *manual* can also be an iterable object of (x, y) tuples.
+            Contour labels will be created as if mouse is clicked at each
+            (x, y) position.
 
-          *rightside_up*:
-            if *True* (default), label rotations will always be plus
+        rightside_up : bool, default: True
+            If ``True``, label rotations will always be plus
             or minus 90 degrees from level.
 
-          *use_clabeltext*:
-            if *True* (default is False), ClabelText class (instead of
-            matplotlib.Text) is used to create labels. ClabelText
-            recalculates rotation angles of texts during the drawing time,
-            therefore this can be used if aspect of the axes changes.
-
-        .. plot:: mpl_examples/pylab_examples/contour_demo.py
-        """
-
-        """
-        NOTES on how this all works:
+        use_clabeltext : bool, default: False
+            If ``True``, use `.Text.set_transform_rotates_text` to ensure that
+            label rotation is updated whenever the Axes aspect changes.
 
-        clabel basically takes the input arguments and uses them to
-        add a list of "label specific" attributes to the ContourSet
-        object.  These attributes are all of the form label* and names
-        should be fairly self explanatory.
+        zorder : float or None, default: ``(2 + contour.get_zorder())``
+            zorder of the contour labels.
 
-        Once these attributes are set, clabel passes control to the
-        labels method (case of automatic label placement) or
-        BlockingContourLabeler (case of manual label placement).
+        Returns
+        -------
+        labels
+            A list of `.Text` instances for the labels.
         """
 
-        fontsize = kwargs.get('fontsize', None)
-        inline = kwargs.get('inline', 1)
-        inline_spacing = kwargs.get('inline_spacing', 5)
-        self.labelFmt = kwargs.get('fmt', '%1.3f')
-        _colors = kwargs.get('colors', None)
-
-        self._use_clabeltext = kwargs.get('use_clabeltext', False)
-
-        # Detect if manual selection is desired and remove from argument list
-        self.labelManual = kwargs.get('manual', False)
-
-        self.rightside_up = kwargs.get('rightside_up', True)
-        if len(args) == 0:
+        # Based on the input arguments, clabel() adds a list of "label
+        # specific" attributes to the ContourSet object.  These attributes are
+        # all of the form label* and names should be fairly self explanatory.
+        #
+        # Once these attributes are set, clabel passes control to the labels()
+        # method (for automatic label placement) or blocking_input_loop and
+        # _contour_labeler_event_handler (for manual label placement).
+
+        if fmt is None:
+            fmt = ticker.ScalarFormatter(useOffset=False)
+            fmt.create_dummy_axis()
+        self.labelFmt = fmt
+        self._use_clabeltext = use_clabeltext
+        self.labelManual = manual
+        self.rightside_up = rightside_up
+        self._clabel_zorder = 2 + self.get_zorder() if zorder is None else zorder
+
+        if levels is None:
             levels = self.levels
-            indices = list(xrange(len(self.cvalues)))
-        elif len(args) == 1:
-            levlabs = list(args[0])
+            indices = list(range(len(self.cvalues)))
+        else:
+            levlabs = list(levels)
             indices, levels = [], []
             for i, lev in enumerate(self.levels):
                 if lev in levlabs:
                     indices.append(i)
                     levels.append(lev)
             if len(levels) < len(levlabs):
-                msg = "Specified levels " + str(levlabs)
-                msg += "\n don't match available levels "
-                msg += str(self.levels)
-                raise ValueError(msg)
-        else:
-            raise TypeError("Illegal arguments to clabel, see help(clabel)")
+                raise ValueError(f"Specified levels {levlabs} don't match "
+                                 f"available levels {self.levels}")
         self.labelLevelList = levels
         self.labelIndiceList = indices
 
-        self.labelFontProps = font_manager.FontProperties()
-        if fontsize is None:
-            font_size = int(self.labelFontProps.get_size_in_points())
-        else:
-            if type(fontsize) not in [int, float, str]:
-                raise TypeError("Font size must be an integer number.")
-                # Can't it be floating point, as indicated in line above?
-            else:
-                if type(fontsize) == str:
-                    font_size = int(self.labelFontProps.get_size_in_points())
-                else:
-                    self.labelFontProps.set_size(fontsize)
-                    font_size = fontsize
-        self.labelFontSizeList = [font_size] * len(levels)
+        self._label_font_props = font_manager.FontProperties(size=fontsize)
 
-        if _colors is None:
+        if colors is None:
             self.labelMappable = self
             self.labelCValueList = np.take(self.cvalues, self.labelIndiceList)
         else:
-            cmap = colors.ListedColormap(_colors, N=len(self.labelLevelList))
-            self.labelCValueList = list(xrange(len(self.labelLevelList)))
-            self.labelMappable = cm.ScalarMappable(cmap=cmap,
-                                                   norm=colors.NoNorm())
+            # handling of explicit colors for labels:
+            # make labelCValueList contain integers [0, 1, 2, ...] and a cmap
+            # so that cmap(i) == colors[i]
+            num_levels = len(self.labelLevelList)
+            colors = cbook._resize_sequence(mcolors.to_rgba_array(colors), num_levels)
+            self.labelMappable = cm.ScalarMappable(
+                cmap=mcolors.ListedColormap(colors), norm=mcolors.NoNorm())
+            self.labelCValueList = list(range(num_levels))
 
-        #self.labelTexts = []   # Initialized in ContourSet.__init__
-        #self.labelCValues = [] # same
         self.labelXYs = []
 
-        if cbook.iterable(self.labelManual):
-            for x, y in self.labelManual:
-                self.add_label_near(x, y, inline,
-                                    inline_spacing)
-
-        elif self.labelManual:
+        if np.iterable(manual):
+            for x, y in manual:
+                self.add_label_near(x, y, inline, inline_spacing)
+        elif manual:
             print('Select label locations manually using first mouse button.')
             print('End manual selection with second mouse button.')
             if not inline:
                 print('Remove last label by clicking third mouse button.')
-
-            blocking_contour_labeler = BlockingContourLabeler(self)
-            blocking_contour_labeler(inline, inline_spacing)
+            mpl._blocking_input.blocking_input_loop(
+                self.axes.get_figure(root=True),
+                ["button_press_event", "key_press_event"],
+                timeout=-1, handler=functools.partial(
+                    _contour_labeler_event_handler,
+                    self, inline, inline_spacing))
         else:
             self.labels(inline, inline_spacing)
 
-        # Hold on to some old attribute names.  These are deprecated and will
-        # be removed in the near future (sometime after 2008-08-01), but
-        # keeping for now for backwards compatibility
-        self.cl = self.labelTexts
-        self.cl_xy = self.labelXYs
-        self.cl_cvalues = self.labelCValues
-
-        self.labelTextsList = cbook.silent_list('text.Text', self.labelTexts)
-        return self.labelTextsList
+        return cbook.silent_list('text.Text', self.labelTexts)
 
     def print_label(self, linecontour, labelwidth):
-        "Return *False* if contours are too short for a label."
-        lcsize = len(linecontour)
-        if lcsize > 10 * labelwidth:
-            return True
-
-        xmax = np.amax(linecontour[:, 0])
-        xmin = np.amin(linecontour[:, 0])
-        ymax = np.amax(linecontour[:, 1])
-        ymin = np.amin(linecontour[:, 1])
-
-        lw = labelwidth
-        if (xmax - xmin) > 1.2 * lw or (ymax - ymin) > 1.2 * lw:
-            return True
-        else:
-            return False
+        """Return whether a contour is long enough to hold a label."""
+        return (len(linecontour) > 10 * labelwidth
+                or (len(linecontour)
+                    and (np.ptp(linecontour, axis=0) > 1.2 * labelwidth).any()))
 
     def too_close(self, x, y, lw):
-        "Return *True* if a label is already near this location."
-        for loc in self.labelXYs:
-            d = np.sqrt((x - loc[0]) ** 2 + (y - loc[1]) ** 2)
-            if d < 1.2 * lw:
-                return True
-        return False
-
-    def get_label_coords(self, distances, XX, YY, ysize, lw):
-        """
-        Return x, y, and the index of a label location.
-
-        Labels are plotted at a location with the smallest
-        deviation of the contour from a straight line
-        unless there is another label nearby, in which case
-        the next best place on the contour is picked up.
-        If all such candidates are rejected, the beginning
-        of the contour is chosen.
-        """
-        hysize = int(ysize / 2)
-        adist = np.argsort(distances)
-
-        for ind in adist:
-            x, y = XX[ind][hysize], YY[ind][hysize]
-            if self.too_close(x, y, lw):
-                continue
-            return x, y, ind
-
-        ind = adist[0]
-        x, y = XX[ind][hysize], YY[ind][hysize]
-        return x, y, ind
-
-    def get_label_width(self, lev, fmt, fsize):
-        """
-        Return the width of the label in points.
-        """
-        if not cbook.is_string_like(lev):
-            lev = self.get_text(lev, fmt)
-
-        lev, ismath = text.Text.is_math_text(lev)
-        if ismath == 'TeX':
-            if not hasattr(self, '_TeX_manager'):
-                self._TeX_manager = texmanager.TexManager()
-            lw, _, _ = self._TeX_manager.get_text_width_height_descent(lev,
-                                                                       fsize)
-        elif ismath:
-            if not hasattr(self, '_mathtext_parser'):
-                self._mathtext_parser = mathtext.MathTextParser('bitmap')
-            img, _ = self._mathtext_parser.parse(lev, dpi=72,
-                                                 prop=self.labelFontProps)
-            lw = img.get_width()  # at dpi=72, the units are PostScript points
-        else:
-            # width is much less than "font size"
-            lw = (len(lev)) * fsize * 0.6
-
-        return lw
-
-    def get_real_label_width(self, lev, fmt, fsize):
-        """
-        This computes actual onscreen label width.
-        This uses some black magic to determine onscreen extent of non-drawn
-        label.  This magic may not be very robust.
-
-        This method is not being used, and may be modified or removed.
-        """
-        # Find middle of axes
-        xx = np.mean(np.asarray(self.ax.axis()).reshape(2, 2), axis=1)
-
-        # Temporarily create text object
-        t = text.Text(xx[0], xx[1])
-        self.set_label_props(t, self.get_text(lev, fmt), 'k')
-
-        # Some black magic to get onscreen extent
-        # NOTE: This will only work for already drawn figures, as the canvas
-        # does not have a renderer otherwise.  This is the reason this function
-        # can't be integrated into the rest of the code.
-        bbox = t.get_window_extent(renderer=self.ax.figure.canvas.renderer)
-
-        # difference in pixel extent of image
-        lw = np.diff(bbox.corners()[0::2, 0])[0]
-
-        return lw
-
-    def set_label_props(self, label, text, color):
-        "set the label properties - color, fontsize, text"
-        label.set_text(text)
-        label.set_color(color)
-        label.set_fontproperties(self.labelFontProps)
-        label.set_clip_box(self.ax.bbox)
+        """Return whether a label is already near this location."""
+        thresh = (1.2 * lw) ** 2
+        return any((x - loc[0]) ** 2 + (y - loc[1]) ** 2 < thresh
+                   for loc in self.labelXYs)
+
+    def _get_nth_label_width(self, nth):
+        """Return the width of the *nth* label, in pixels."""
+        fig = self.axes.get_figure(root=False)
+        renderer = fig.get_figure(root=True)._get_renderer()
+        return (Text(0, 0,
+                     self.get_text(self.labelLevelList[nth], self.labelFmt),
+                     figure=fig, fontproperties=self._label_font_props)
+                .get_window_extent(renderer).width)
 
     def get_text(self, lev, fmt):
-        "get the text of the label"
-        if cbook.is_string_like(lev):
+        """Get the text of the label."""
+        if isinstance(lev, str):
             return lev
+        elif isinstance(fmt, dict):
+            return fmt.get(lev, '%1.3f')
+        elif callable(getattr(fmt, "format_ticks", None)):
+            return fmt.format_ticks([*self.labelLevelList, lev])[-1]
+        elif callable(fmt):
+            return fmt(lev)
         else:
-            if isinstance(fmt, dict):
-                return fmt[lev]
-            elif six.callable(fmt):
-                return fmt(lev)
-            else:
-                return fmt % lev
+            return fmt % lev
 
     def locate_label(self, linecontour, labelwidth):
         """
-        Find a good place to plot a label (relatively flat
-        part of the contour).
+        Find good place to draw a label (relatively flat part of the contour).
         """
-
-        nsize = len(linecontour)
-        if labelwidth > 1:
-            xsize = int(np.ceil(nsize / labelwidth))
-        else:
-            xsize = 1
-        if xsize == 1:
-            ysize = nsize
-        else:
-            ysize = int(labelwidth)
-
-        XX = np.resize(linecontour[:, 0], (xsize, ysize))
-        YY = np.resize(linecontour[:, 1], (xsize, ysize))
-        #I might have fouled up the following:
-        yfirst = YY[:, 0].reshape(xsize, 1)
-        ylast = YY[:, -1].reshape(xsize, 1)
-        xfirst = XX[:, 0].reshape(xsize, 1)
-        xlast = XX[:, -1].reshape(xsize, 1)
-        s = (yfirst - YY) * (xlast - xfirst) - (xfirst - XX) * (ylast - yfirst)
-        L = np.sqrt((xlast - xfirst) ** 2 + (ylast - yfirst) ** 2).ravel()
-        dist = np.add.reduce(([(abs(s)[i] / L[i]) for i in range(xsize)]), -1)
-        x, y, ind = self.get_label_coords(dist, XX, YY, ysize, labelwidth)
-        #print 'ind, x, y', ind, x, y
-
-        # There must be a more efficient way...
-        lc = [tuple(l) for l in linecontour]
-        dind = lc.index((x, y))
-        #print 'dind', dind
-        #dind = list(linecontour).index((x,y))
-
-        return x, y, dind
-
-    def calc_label_rot_and_inline(self, slc, ind, lw, lc=None, spacing=5):
+        ctr_size = len(linecontour)
+        n_blocks = int(np.ceil(ctr_size / labelwidth)) if labelwidth > 1 else 1
+        block_size = ctr_size if n_blocks == 1 else int(labelwidth)
+        # Split contour into blocks of length ``block_size``, filling the last
+        # block by cycling the contour start (per `np.resize` semantics).  (Due
+        # to cycling, the index returned is taken modulo ctr_size.)
+        xx = np.resize(linecontour[:, 0], (n_blocks, block_size))
+        yy = np.resize(linecontour[:, 1], (n_blocks, block_size))
+        yfirst = yy[:, :1]
+        ylast = yy[:, -1:]
+        xfirst = xx[:, :1]
+        xlast = xx[:, -1:]
+        s = (yfirst - yy) * (xlast - xfirst) - (xfirst - xx) * (ylast - yfirst)
+        l = np.hypot(xlast - xfirst, ylast - yfirst)
+        # Ignore warning that divide by zero throws, as this is a valid option
+        with np.errstate(divide='ignore', invalid='ignore'):
+            distances = (abs(s) / l).sum(axis=-1)
+        # Labels are drawn in the middle of the block (``hbsize``) where the
+        # contour is the closest (per ``distances``) to a straight line, but
+        # not `too_close()` to a preexisting label.
+        hbsize = block_size // 2
+        adist = np.argsort(distances)
+        # If all candidates are `too_close()`, go back to the straightest part
+        # (``adist[0]``).
+        for idx in np.append(adist, adist[0]):
+            x, y = xx[idx, hbsize], yy[idx, hbsize]
+            if not self.too_close(x, y, labelwidth):
+                break
+        return x, y, (idx * block_size + hbsize) % ctr_size
+
+    def _split_path_and_get_label_rotation(self, path, idx, screen_pos, lw, spacing=5):
         """
-        This function calculates the appropriate label rotation given
-        the linecontour coordinates in screen units, the index of the
-        label location and the label width.
-
-        It will also break contour and calculate inlining if *lc* is
-        not empty (lc defaults to the empty list if None).  *spacing*
-        is the space around the label in pixels to leave empty.
-
-        Do both of these tasks at once to avoid calling mlab.path_length
-        multiple times, which is relatively costly.
-
-        The method used here involves calculating the path length
-        along the contour in pixel coordinates and then looking
-        approximately label width / 2 away from central point to
-        determine rotation and then to break contour if desired.
+        Prepare for insertion of a label at index *idx* of *path*.
+
+        Parameters
+        ----------
+        path : Path
+            The path where the label will be inserted, in data space.
+        idx : int
+            The vertex index after which the label will be inserted.
+        screen_pos : (float, float)
+            The position where the label will be inserted, in screen space.
+        lw : float
+            The label width, in screen space.
+        spacing : float
+            Extra spacing around the label, in screen space.
+
+        Returns
+        -------
+        path : Path
+            The path, broken so that the label can be drawn over it.
+        angle : float
+            The rotation of the label.
+
+        Notes
+        -----
+        Both tasks are done together to avoid calculating path lengths multiple times,
+        which is relatively costly.
+
+        The method used here involves computing the path length along the contour in
+        pixel coordinates and then looking (label width / 2) away from central point to
+        determine rotation and then to break contour if desired.  The extra spacing is
+        taken into account when breaking the path, but not when computing the angle.
         """
-
-        if lc is None:
-            lc = []
-        # Half the label width
-        hlw = lw / 2.0
-
-        # Check if closed and, if so, rotate contour so label is at edge
-        closed = mlab.is_closed_polygon(slc)
-        if closed:
-            slc = np.r_[slc[ind:-1], slc[:ind + 1]]
-
-            if len(lc):  # Rotate lc also if not empty
-                lc = np.r_[lc[ind:-1], lc[:ind + 1]]
-
-            ind = 0
-
-        # Path length in pixel space
-        pl = mlab.path_length(slc)
-        pl = pl - pl[ind]
-
-        # Use linear interpolation to get points around label
-        xi = np.array([-hlw, hlw])
-        if closed:  # Look at end also for closed contours
-            dp = np.array([pl[-1], 0])
+        xys = path.vertices
+        codes = path.codes
+
+        # Insert a vertex at idx/pos (converting back to data space), if there isn't yet
+        # a vertex there.  With infinite precision one could also always insert the
+        # extra vertex (it will get masked out by the label below anyways), but floating
+        # point inaccuracies (the point can have undergone a data->screen->data
+        # transform loop) can slightly shift the point and e.g. shift the angle computed
+        # below from exactly zero to nonzero.
+        pos = self.get_transform().inverted().transform(screen_pos)
+        if not np.allclose(pos, xys[idx]):
+            xys = np.insert(xys, idx, pos, axis=0)
+            codes = np.insert(codes, idx, Path.LINETO)
+
+        # Find the connected component where the label will be inserted.  Note that a
+        # path always starts with a MOVETO, and we consider there's an implicit
+        # MOVETO (closing the last path) at the end.
+        movetos = (codes == Path.MOVETO).nonzero()[0]
+        start = movetos[movetos <= idx][-1]
+        try:
+            stop = movetos[movetos > idx][0]
+        except IndexError:
+            stop = len(codes)
+
+        # Restrict ourselves to the connected component.
+        cc_xys = xys[start:stop]
+        idx -= start
+
+        # If the path is closed, rotate it s.t. it starts at the label.
+        is_closed_path = codes[stop - 1] == Path.CLOSEPOLY
+        if is_closed_path:
+            cc_xys = np.concatenate([cc_xys[idx:-1], cc_xys[:idx+1]])
+            idx = 0
+
+        # Like np.interp, but additionally vectorized over fp.
+        def interp_vec(x, xp, fp): return [np.interp(x, xp, col) for col in fp.T]
+
+        # Use cumulative path lengths ("cpl") as curvilinear coordinate along contour.
+        screen_xys = self.get_transform().transform(cc_xys)
+        path_cpls = np.insert(
+            np.cumsum(np.hypot(*np.diff(screen_xys, axis=0).T)), 0, 0)
+        path_cpls -= path_cpls[idx]
+
+        # Use linear interpolation to get end coordinates of label.
+        target_cpls = np.array([-lw/2, lw/2])
+        if is_closed_path:  # For closed paths, target from the other end.
+            target_cpls[0] += (path_cpls[-1] - path_cpls[0])
+        (sx0, sx1), (sy0, sy1) = interp_vec(target_cpls, path_cpls, screen_xys)
+        angle = np.rad2deg(np.arctan2(sy1 - sy0, sx1 - sx0))  # Screen space.
+        if self.rightside_up:  # Fix angle so text is never upside-down
+            angle = (angle + 90) % 180 - 90
+
+        target_cpls += [-spacing, +spacing]  # Expand range by spacing.
+
+        # Get indices near points of interest; use -1 as out of bounds marker.
+        i0, i1 = np.interp(target_cpls, path_cpls, range(len(path_cpls)),
+                           left=-1, right=-1)
+        i0 = math.floor(i0)
+        i1 = math.ceil(i1)
+        (x0, x1), (y0, y1) = interp_vec(target_cpls, path_cpls, cc_xys)
+
+        # Actually break contours (dropping zero-len parts).
+        new_xy_blocks = []
+        new_code_blocks = []
+        if is_closed_path:
+            if i0 != -1 and i1 != -1:
+                # This is probably wrong in the case that the entire contour would
+                # be discarded, but ensures that a valid path is returned and is
+                # consistent with behavior of mpl <3.8
+                points = cc_xys[i1:i0+1]
+                new_xy_blocks.extend([[(x1, y1)], points, [(x0, y0)]])
+                nlines = len(points) + 1
+                new_code_blocks.extend([[Path.MOVETO], [Path.LINETO] * nlines])
         else:
-            dp = np.zeros_like(xi)
+            if i0 != -1:
+                new_xy_blocks.extend([cc_xys[:i0 + 1], [(x0, y0)]])
+                new_code_blocks.extend([[Path.MOVETO], [Path.LINETO] * (i0 + 1)])
+            if i1 != -1:
+                new_xy_blocks.extend([[(x1, y1)], cc_xys[i1:]])
+                new_code_blocks.extend([
+                    [Path.MOVETO], [Path.LINETO] * (len(cc_xys) - i1)])
 
-        ll = mlab.less_simple_linear_interpolation(pl, slc, dp + xi,
-                                                   extrap=True)
+        # Back to the full path.
+        xys = np.concatenate([xys[:start], *new_xy_blocks, xys[stop:]])
+        codes = np.concatenate([codes[:start], *new_code_blocks, codes[stop:]])
 
-        # get vector in pixel space coordinates from one point to other
-        dd = np.diff(ll, axis=0).ravel()
+        return angle, Path(xys, codes)
 
-        # Get angle of vector - must be calculated in pixel space for
-        # text rotation to work correctly
-        if np.all(dd == 0):  # Must deal with case of zero length label
-            rotation = 0.0
-        else:
-            rotation = np.arctan2(dd[1], dd[0]) * 180.0 / np.pi
-
-        if self.rightside_up:
-            # Fix angle so text is never upside-down
-            if rotation > 90:
-                rotation = rotation - 180.0
-            if rotation < -90:
-                rotation = 180.0 + rotation
-
-        # Break contour if desired
-        nlc = []
-        if len(lc):
-            # Expand range by spacing
-            xi = dp + xi + np.array([-spacing, spacing])
-
-            # Get indices near points of interest
-            I = mlab.less_simple_linear_interpolation(
-                pl, np.arange(len(pl)), xi, extrap=False)
-
-            # If those indices aren't beyond contour edge, find x,y
-            if (not np.isnan(I[0])) and int(I[0]) != I[0]:
-                xy1 = mlab.less_simple_linear_interpolation(
-                    pl, lc, [xi[0]])
-
-            if (not np.isnan(I[1])) and int(I[1]) != I[1]:
-                xy2 = mlab.less_simple_linear_interpolation(
-                    pl, lc, [xi[1]])
-
-            # Round to integer values but keep as float
-            # To allow check against nan below
-            I = [np.floor(I[0]), np.ceil(I[1])]
-
-            # Actually break contours
-            if closed:
-                # This will remove contour if shorter than label
-                if np.all(~np.isnan(I)):
-                    nlc.append(np.r_[xy2, lc[int(I[1]):int(I[0]) + 1], xy1])
-            else:
-                # These will remove pieces of contour if they have length zero
-                if not np.isnan(I[0]):
-                    nlc.append(np.r_[lc[:int(I[0]) + 1], xy1])
-                if not np.isnan(I[1]):
-                    nlc.append(np.r_[xy2, lc[int(I[1]):]])
-
-            # The current implementation removes contours completely
-            # covered by labels.  Uncomment line below to keep
-            # original contour if this is the preferred behavior.
-            #if not len(nlc): nlc = [ lc ]
-
-        return rotation, nlc
-
-    def _get_label_text(self, x, y, rotation):
-        dx, dy = self.ax.transData.inverted().transform_point((x, y))
-        t = text.Text(dx, dy, rotation=rotation,
-                      horizontalalignment='center',
-                      verticalalignment='center')
-        return t
-
-    def _get_label_clabeltext(self, x, y, rotation):
-        # x, y, rotation is given in pixel coordinate. Convert them to
-        # the data coordinate and create a label using ClabelText
-        # class. This way, the roation of the clabel is along the
-        # contour line always.
-        transDataInv = self.ax.transData.inverted()
-        dx, dy = transDataInv.transform_point((x, y))
-        drotation = transDataInv.transform_angles(np.array([rotation]),
-                                                  np.array([[x, y]]))
-        t = ClabelText(dx, dy, rotation=drotation[0],
-                       horizontalalignment='center',
-                       verticalalignment='center')
-
-        return t
-
-    def _add_label(self, t, x, y, lev, cvalue):
-        color = self.labelMappable.to_rgba(cvalue, alpha=self.alpha)
-
-        _text = self.get_text(lev, self.labelFmt)
-        self.set_label_props(t, _text, color)
+    def add_label(self, x, y, rotation, lev, cvalue):
+        """Add a contour label, respecting whether *use_clabeltext* was set."""
+        data_x, data_y = self.axes.transData.inverted().transform((x, y))
+        t = Text(
+            data_x, data_y,
+            text=self.get_text(lev, self.labelFmt),
+            rotation=rotation,
+            horizontalalignment='center', verticalalignment='center',
+            zorder=self._clabel_zorder,
+            color=self.labelMappable.to_rgba(cvalue, alpha=self.get_alpha()),
+            fontproperties=self._label_font_props,
+            clip_box=self.axes.bbox)
+        if self._use_clabeltext:
+            data_rotation, = self.axes.transData.inverted().transform_angles(
+                [rotation], [[x, y]])
+            t.set(rotation=data_rotation, transform_rotates_text=True)
         self.labelTexts.append(t)
         self.labelCValues.append(cvalue)
         self.labelXYs.append((x, y))
-
         # Add label to plot here - useful for manual mode label selection
-        self.ax.add_artist(t)
-
-    def add_label(self, x, y, rotation, lev, cvalue):
-        """
-        Add contour label using :class:`~matplotlib.text.Text` class.
-        """
-
-        t = self._get_label_text(x, y, rotation)
-        self._add_label(t, x, y, lev, cvalue)
-
-    def add_label_clabeltext(self, x, y, rotation, lev, cvalue):
-        """
-        Add contour label using :class:`ClabelText` class.
-        """
-        # x, y, rotation is given in pixel coordinate. Convert them to
-        # the data coordinate and create a label using ClabelText
-        # class. This way, the roation of the clabel is along the
-        # contour line always.
-
-        t = self._get_label_clabeltext(x, y, rotation)
-        self._add_label(t, x, y, lev, cvalue)
+        self.axes.add_artist(t)
 
     def add_label_near(self, x, y, inline=True, inline_spacing=5,
                        transform=None):
         """
-        Add a label near the point (x, y). If transform is None
-        (default), (x, y) is in data coordinates; if transform is
-        False, (x, y) is in display coordinates; otherwise, the
-        specified transform will be used to translate (x, y) into
-        display coordinates.
-
-        *inline*:
-          controls whether the underlying contour is removed or
-          not. Default is *True*.
-
-        *inline_spacing*:
-          space in pixels to leave on each side of label when
-          placing inline.  Defaults to 5.  This spacing will be
-          exact for labels at locations where the contour is
-          straight, less so for labels on curved contours.
+        Add a label near the point ``(x, y)``.
+
+        Parameters
+        ----------
+        x, y : float
+            The approximate location of the label.
+        inline : bool, default: True
+            If *True* remove the segment of the contour beneath the label.
+        inline_spacing : int, default: 5
+            Space in pixels to leave on each side of label when placing
+            inline. This spacing will be exact for labels at locations where
+            the contour is straight, less so for labels on curved contours.
+        transform : `.Transform` or `False`, default: ``self.axes.transData``
+            A transform applied to ``(x, y)`` before labeling.  The default
+            causes ``(x, y)`` to be interpreted as data coordinates.  `False`
+            is a synonym for `.IdentityTransform`; i.e. ``(x, y)`` should be
+            interpreted as display coordinates.
         """
 
         if transform is None:
-            transform = self.ax.transData
-
+            transform = self.axes.transData
         if transform:
-            x, y = transform.transform_point((x, y))
-
-        # find the nearest contour _in screen units_
-        conmin, segmin, imin, xmin, ymin = self.find_nearest_contour(
-            x, y, self.labelIndiceList)[:5]
-
-        # The calc_label_rot_and_inline routine requires that (xmin,ymin)
-        # be a vertex in the path. So, if it isn't, add a vertex here
-
-        # grab the paths from the collections
-        paths = self.collections[conmin].get_paths()
-        # grab the correct segment
-        active_path = paths[segmin]
-        # grab it's verticies
-        lc = active_path.vertices
-        # sort out where the new vertex should be added data-units
-        xcmin = self.ax.transData.inverted().transform_point([xmin, ymin])
-        # if there isn't a vertex close enough
-        if not np.allclose(xcmin, lc[imin]):
-            # insert new data into the vertex list
-            lc = np.r_[lc[:imin], np.array(xcmin)[None, :], lc[imin:]]
-            # replace the path with the new one
-            paths[segmin] = mpath.Path(lc)
-
-        # Get index of nearest level in subset of levels used for labeling
-        lmin = self.labelIndiceList.index(conmin)
-
-        # Coordinates of contour
-        paths = self.collections[conmin].get_paths()
-        lc = paths[segmin].vertices
-
-        # In pixel/screen space
-        slc = self.ax.transData.transform(lc)
-
-        # Get label width for rotating labels and breaking contours
-        lw = self.get_label_width(self.labelLevelList[lmin],
-                                  self.labelFmt, self.labelFontSizeList[lmin])
-
-        # Figure out label rotation.
-        if inline:
-            lcarg = lc
-        else:
-            lcarg = None
-        rotation, nlc = self.calc_label_rot_and_inline(
-            slc, imin, lw, lcarg,
-            inline_spacing)
-
-        self.add_label(xmin, ymin, rotation, self.labelLevelList[lmin],
-                       self.labelCValueList[lmin])
+            x, y = transform.transform((x, y))
+
+        idx_level_min, idx_vtx_min, proj = self._find_nearest_contour(
+            (x, y), self.labelIndiceList)
+        path = self._paths[idx_level_min]
+        level = self.labelIndiceList.index(idx_level_min)
+        label_width = self._get_nth_label_width(level)
+        rotation, path = self._split_path_and_get_label_rotation(
+            path, idx_vtx_min, proj, label_width, inline_spacing)
+        self.add_label(*proj, rotation, self.labelLevelList[idx_level_min],
+                       self.labelCValueList[idx_level_min])
 
         if inline:
-            # Remove old, not looping over paths so we can do this up front
-            paths.pop(segmin)
-
-            # Add paths if not empty or single point
-            for n in nlc:
-                if len(n) > 1:
-                    paths.append(mpath.Path(n))
+            self._paths[idx_level_min] = path
 
     def pop_label(self, index=-1):
         """Defaults to removing last label, but any index can be supplied"""
@@ -641,241 +473,243 @@ def pop_label(self, index=-1):
         t.remove()
 
     def labels(self, inline, inline_spacing):
-
-        if self._use_clabeltext:
-            add_label = self.add_label_clabeltext
-        else:
-            add_label = self.add_label
-
-        for icon, lev, fsize, cvalue in zip(
-                self.labelIndiceList, self.labelLevelList,
-                self.labelFontSizeList, self.labelCValueList):
-
-            con = self.collections[icon]
-            trans = con.get_transform()
-            lw = self.get_label_width(lev, self.labelFmt, fsize)
-            lw *= self.ax.figure.dpi / 72.0  # scale to screen coordinates
+        for idx, (icon, lev, cvalue) in enumerate(zip(
+                self.labelIndiceList,
+                self.labelLevelList,
+                self.labelCValueList,
+        )):
+            trans = self.get_transform()
+            label_width = self._get_nth_label_width(idx)
             additions = []
-            paths = con.get_paths()
-            for segNum, linepath in enumerate(paths):
-                lc = linepath.vertices  # Line contour
-                slc0 = trans.transform(lc)  # Line contour in screen coords
-
-                # For closed polygons, add extra point to avoid division by
-                # zero in print_label and locate_label.  Other than these
-                # functions, this is not necessary and should probably be
-                # eventually removed.
-                if mlab.is_closed_polygon(lc):
-                    slc = np.r_[slc0, slc0[1:2, :]]
-                else:
-                    slc = slc0
-
+            for subpath in self._paths[icon]._iter_connected_components():
+                screen_xys = trans.transform(subpath.vertices)
                 # Check if long enough for a label
-                if self.print_label(slc, lw):
-                    x, y, ind = self.locate_label(slc, lw)
-
-                    if inline:
-                        lcarg = lc
-                    else:
-                        lcarg = None
-                    rotation, new = self.calc_label_rot_and_inline(
-                        slc0, ind, lw, lcarg,
-                        inline_spacing)
-
-                    # Actually add the label
-                    add_label(x, y, rotation, lev, cvalue)
-
-                    # If inline, add new contours
-                    if inline:
-                        for n in new:
-                            # Add path if not empty or single point
-                            if len(n) > 1:
-                                additions.append(mpath.Path(n))
+                if self.print_label(screen_xys, label_width):
+                    x, y, idx = self.locate_label(screen_xys, label_width)
+                    rotation, path = self._split_path_and_get_label_rotation(
+                        subpath, idx, (x, y),
+                        label_width, inline_spacing)
+                    self.add_label(x, y, rotation, lev, cvalue)  # Really add label.
+                    if inline:  # If inline, add new contours
+                        additions.append(path)
                 else:  # If not adding label, keep old path
-                    additions.append(linepath)
-
-            # After looping over all segments on a contour, remove old
-            # paths and add new ones if inlining
+                    additions.append(subpath)
+            # After looping over all segments on a contour, replace old path by new one
+            # if inlining.
             if inline:
-                del paths[:]
-                paths.extend(additions)
+                self._paths[icon] = Path.make_compound_path(*additions)
 
+    def remove(self):
+        super().remove()
+        for text in self.labelTexts:
+            text.remove()
 
-def _find_closest_point_on_leg(p1, p2, p0):
-    """find closest point to p0 on line segment connecting p1 and p2"""
 
-    # handle degenerate case
-    if np.all(p2 == p1):
-        d = np.sum((p0 - p1)**2)
-        return d, p1
-
-    d21 = p2 - p1
-    d01 = p0 - p1
-
-    # project on to line segment to find closest point
-    proj = np.dot(d01, d21) / np.dot(d21, d21)
-    if proj < 0:
-        proj = 0
-    if proj > 1:
-        proj = 1
-    pc = p1 + proj * d21
-
-    # find squared distance
-    d = np.sum((pc-p0)**2)
-
-    return d, pc
-
-
-def _find_closest_point_on_path(lc, point):
+def _find_closest_point_on_path(xys, p):
     """
-    lc: coordinates of vertices
-    point: coordinates of test point
+    Parameters
+    ----------
+    xys : (N, 2) array-like
+        Coordinates of vertices.
+    p : (float, float)
+        Coordinates of point.
+
+    Returns
+    -------
+    d2min : float
+        Minimum square distance of *p* to *xys*.
+    proj : (float, float)
+        Projection of *p* onto *xys*.
+    imin : (int, int)
+        Consecutive indices of vertices of segment in *xys* where *proj* is.
+        Segments are considered as including their end-points; i.e. if the
+        closest point on the path is a node in *xys* with index *i*, this
+        returns ``(i-1, i)``.  For the special case where *xys* is a single
+        point, this returns ``(0, 0)``.
     """
+    if len(xys) == 1:
+        return (((p - xys[0]) ** 2).sum(), xys[0], (0, 0))
+    dxys = xys[1:] - xys[:-1]  # Individual segment vectors.
+    norms = (dxys ** 2).sum(axis=1)
+    norms[norms == 0] = 1  # For zero-length segment, replace 0/0 by 0/1.
+    rel_projs = np.clip(  # Project onto each segment in relative 0-1 coords.
+        ((p - xys[:-1]) * dxys).sum(axis=1) / norms,
+        0, 1)[:, None]
+    projs = xys[:-1] + rel_projs * dxys  # Projs. onto each segment, in (x, y).
+    d2s = ((projs - p) ** 2).sum(axis=1)  # Squared distances.
+    imin = np.argmin(d2s)
+    return (d2s[imin], projs[imin], (imin, imin+1))
+
+
+_docstring.interpd.register(contour_set_attributes=r"""
+Attributes
+----------
+levels : array
+    The values of the contour levels.
+
+layers : array
+    Same as levels for line contours; half-way between
+    levels for filled contours.  See ``ContourSet._process_colors``.
+""")
+
+
+@_docstring.interpd
+class ContourSet(ContourLabeler, mcoll.Collection):
+    """
+    Store a set of contour lines or filled regions.
 
-    # find index of closest vertex for this segment
-    ds = np.sum((lc - point[None, :])**2, 1)
-    imin = np.argmin(ds)
-
-    dmin = np.inf
-    xcmin = None
-    legmin = (None, None)
-
-    closed = mlab.is_closed_polygon(lc)
-
-    # build list of legs before and after this vertex
-    legs = []
-    if imin > 0 or closed:
-        legs.append(((imin-1) % len(lc), imin))
-    if imin < len(lc) - 1 or closed:
-        legs.append((imin, (imin+1) % len(lc)))
+    User-callable method: `~.Axes.clabel`
 
-    for leg in legs:
-        d, xc = _find_closest_point_on_leg(lc[leg[0]], lc[leg[1]], point)
-        if d < dmin:
-            dmin = d
-            xcmin = xc
-            legmin = leg
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
 
-    return (dmin, xcmin, legmin)
+    levels : [level0, level1, ..., leveln]
+        A list of floating point numbers indicating the contour levels.
 
+    allsegs : [level0segs, level1segs, ...]
+        List of all the polygon segments for all the *levels*.
+        For contour lines ``len(allsegs) == len(levels)``, and for
+        filled contour regions ``len(allsegs) = len(levels)-1``. The lists
+        should look like ::
 
-class ContourSet(cm.ScalarMappable, ContourLabeler):
-    """
-    Store a set of contour lines or filled regions.
+            level0segs = [polygon0, polygon1, ...]
+            polygon0 = [[x0, y0], [x1, y1], ...]
 
-    User-callable method: clabel
+    allkinds : ``None`` or [level0kinds, level1kinds, ...]
+        Optional list of all the polygon vertex kinds (code types), as
+        described and used in Path. This is used to allow multiply-
+        connected paths such as holes within filled polygons.
+        If not ``None``, ``len(allkinds) == len(allsegs)``. The lists
+        should look like ::
 
-    Useful attributes:
-      ax:
-        The axes object in which the contours are drawn
+            level0kinds = [polygon0kinds, ...]
+            polygon0kinds = [vertexcode0, vertexcode1, ...]
 
-      collections:
-        a silent_list of LineCollections or PolyCollections
+        If *allkinds* is not ``None``, usually all polygons for a
+        particular contour level are grouped together so that
+        ``level0segs = [polygon0]`` and ``level0kinds = [polygon0kinds]``.
 
-      levels:
-        contour levels
+    **kwargs
+        Keyword arguments are as described in the docstring of
+        `~.Axes.contour`.
 
-      layers:
-        same as levels for line contours; half-way between
-        levels for filled contours.  See :meth:`_process_colors`.
+    %(contour_set_attributes)s
     """
-    def __init__(self, ax, *args, **kwargs):
+
+    def __init__(self, ax, *args,
+                 levels=None, filled=False, linewidths=None, linestyles=None,
+                 hatches=(None,), alpha=None, origin=None, extent=None,
+                 cmap=None, colors=None, norm=None, vmin=None, vmax=None,
+                 colorizer=None, extend='neither', antialiased=None, nchunk=0,
+                 locator=None, transform=None, negative_linestyles=None, clip_path=None,
+                 **kwargs):
         """
         Draw contour lines or filled regions, depending on
-        whether keyword arg 'filled' is *False* (default) or *True*.
+        whether keyword arg *filled* is ``False`` (default) or ``True``.
+
+        Call signature::
 
-        The first three arguments must be:
+            ContourSet(ax, levels, allsegs, [allkinds], **kwargs)
 
-          *ax*: axes object.
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` object to draw on.
 
-          *levels*: [level0, level1, ..., leveln]
+        levels : [level0, level1, ..., leveln]
             A list of floating point numbers indicating the contour
             levels.
 
-          *allsegs*: [level0segs, level1segs, ...]
+        allsegs : [level0segs, level1segs, ...]
             List of all the polygon segments for all the *levels*.
             For contour lines ``len(allsegs) == len(levels)``, and for
-            filled contour regions ``len(allsegs) = len(levels)-1``.
+            filled contour regions ``len(allsegs) = len(levels)-1``. The lists
+            should look like ::
 
-            level0segs = [polygon0, polygon1, ...]
-
-            polygon0 = array_like [[x0,y0], [x1,y1], ...]
+                level0segs = [polygon0, polygon1, ...]
+                polygon0 = [[x0, y0], [x1, y1], ...]
 
-          *allkinds*: *None* or [level0kinds, level1kinds, ...]
+        allkinds : [level0kinds, level1kinds, ...], optional
             Optional list of all the polygon vertex kinds (code types), as
-            described and used in Path.   This is used to allow multiply-
+            described and used in Path. This is used to allow multiply-
             connected paths such as holes within filled polygons.
-            If not *None*, len(allkinds) == len(allsegs).
+            If not ``None``, ``len(allkinds) == len(allsegs)``. The lists
+            should look like ::
 
-            level0kinds = [polygon0kinds, ...]
+                level0kinds = [polygon0kinds, ...]
+                polygon0kinds = [vertexcode0, vertexcode1, ...]
 
-            polygon0kinds = [vertexcode0, vertexcode1, ...]
+            If *allkinds* is not ``None``, usually all polygons for a
+            particular contour level are grouped together so that
+            ``level0segs = [polygon0]`` and ``level0kinds = [polygon0kinds]``.
 
-            If *allkinds* is not *None*, usually all polygons for a particular
-            contour level are grouped together so that
-
-            level0segs = [polygon0] and level0kinds = [polygon0kinds].
-
-        Keyword arguments are as described in
-        :class:`~matplotlib.contour.QuadContourSet` object.
-
-        **Examples:**
-
-        .. plot:: mpl_examples/misc/contour_manual.py
+        **kwargs
+            Keyword arguments are as described in the docstring of
+            `~.Axes.contour`.
         """
-        self.ax = ax
-        self.levels = kwargs.get('levels', None)
-        self.filled = kwargs.get('filled', False)
-        self.linewidths = kwargs.get('linewidths', None)
-        self.linestyles = kwargs.get('linestyles', None)
-
-        self.hatches = kwargs.get('hatches', [None])
-
-        self.alpha = kwargs.get('alpha', None)
-        self.origin = kwargs.get('origin', None)
-        self.extent = kwargs.get('extent', None)
-        cmap = kwargs.get('cmap', None)
-        self.colors = kwargs.get('colors', None)
-        norm = kwargs.get('norm', None)
-        vmin = kwargs.get('vmin', None)
-        vmax = kwargs.get('vmax', None)
-        self.extend = kwargs.get('extend', 'neither')
-        self.antialiased = kwargs.get('antialiased', None)
-        if self.antialiased is None and self.filled:
-            self.antialiased = False  # eliminate artifacts; we are not
-                                      # stroking the boundaries.
-            # The default for line contours will be taken from
-            # the LineCollection default, which uses the
-            # rcParams['lines.antialiased']
-
-        self.nchunk = kwargs.get('nchunk', 0)
-        self.locator = kwargs.get('locator', None)
-        if (isinstance(norm, colors.LogNorm)
+        if antialiased is None and filled:
+            # Eliminate artifacts; we are not stroking the boundaries.
+            antialiased = False
+            # The default for line contours will be taken from the
+            # LineCollection default, which uses :rc:`lines.antialiased`.
+        super().__init__(
+            antialiaseds=antialiased,
+            alpha=alpha,
+            clip_path=clip_path,
+            transform=transform,
+            colorizer=colorizer,
+        )
+        self.axes = ax
+        self.levels = levels
+        self.filled = filled
+        self.hatches = hatches
+        self.origin = origin
+        self.extent = extent
+        self.colors = colors
+        self.extend = extend
+
+        self.nchunk = nchunk
+        self.locator = locator
+
+        if colorizer:
+            self._set_colorizer_check_keywords(colorizer, cmap=cmap,
+                                               norm=norm, vmin=vmin,
+                                               vmax=vmax, colors=colors)
+            norm = colorizer.norm
+            cmap = colorizer.cmap
+        if (isinstance(norm, mcolors.LogNorm)
                 or isinstance(self.locator, ticker.LogLocator)):
             self.logscale = True
             if norm is None:
-                norm = colors.LogNorm()
-            if self.extend is not 'neither':
-                raise ValueError('extend kwarg does not work yet with log '
-                                 ' scale')
+                norm = mcolors.LogNorm()
         else:
             self.logscale = False
 
-        if self.origin is not None:
-            assert(self.origin in ['lower', 'upper', 'image'])
-        if self.extent is not None:
-            assert(len(self.extent) == 4)
+        _api.check_in_list([None, 'lower', 'upper', 'image'], origin=origin)
+        if self.extent is not None and len(self.extent) != 4:
+            raise ValueError(
+                "If given, 'extent' must be None or (x0, x1, y0, y1)")
         if self.colors is not None and cmap is not None:
             raise ValueError('Either colors or cmap must be None')
         if self.origin == 'image':
             self.origin = mpl.rcParams['image.origin']
 
-        self._transform = kwargs.get('transform', None)
+        self._orig_linestyles = linestyles  # Only kept for user access.
+        self.negative_linestyles = mpl._val_or_rc(negative_linestyles,
+                                                  'contour.negative_linestyle')
 
-        self._process_args(*args, **kwargs)
+        kwargs = self._process_args(*args, **kwargs)
         self._process_levels()
 
+        self._extend_min = self.extend in ['min', 'both']
+        self._extend_max = self.extend in ['max', 'both']
         if self.colors is not None:
+            if mcolors.is_color_like(self.colors):
+                color_sequence = [self.colors]
+            else:
+                color_sequence = self.colors
+
             ncolors = len(self.levels)
             if self.filled:
                 ncolors -= 1
@@ -883,168 +717,162 @@ def __init__(self, ax, *args, **kwargs):
 
             # Handle the case where colors are given for the extended
             # parts of the contour.
-            extend_min = self.extend in ['min', 'both']
-            extend_max = self.extend in ['max', 'both']
+
             use_set_under_over = False
             # if we are extending the lower end, and we've been given enough
             # colors then skip the first color in the resulting cmap. For the
             # extend_max case we don't need to worry about passing more colors
             # than ncolors as ListedColormap will clip.
-            total_levels = ncolors + int(extend_min) + int(extend_max)
-            if (len(self.colors) == total_levels and
-                    any([extend_min, extend_max])):
+            total_levels = (ncolors +
+                            int(self._extend_min) +
+                            int(self._extend_max))
+            if (len(color_sequence) == total_levels and
+                    (self._extend_min or self._extend_max)):
                 use_set_under_over = True
-                if extend_min:
+                if self._extend_min:
                     i0 = 1
 
-            cmap = colors.ListedColormap(self.colors[i0:None], N=ncolors)
+            cmap = mcolors.ListedColormap(
+                cbook._resize_sequence(color_sequence[i0:], ncolors))
 
             if use_set_under_over:
-                if extend_min:
-                    cmap.set_under(self.colors[0])
-                if extend_max:
-                    cmap.set_over(self.colors[-1])
+                if self._extend_min:
+                    cmap.set_under(color_sequence[0])
+                if self._extend_max:
+                    cmap.set_over(color_sequence[-1])
 
-        if self.filled:
-            self.collections = cbook.silent_list('mcoll.PathCollection')
-        else:
-            self.collections = cbook.silent_list('mcoll.LineCollection')
         # label lists must be initialized here
         self.labelTexts = []
         self.labelCValues = []
 
-        kw = {'cmap': cmap}
+        self.set_cmap(cmap)
         if norm is not None:
-            kw['norm'] = norm
-        # sets self.cmap, norm if needed;
-        cm.ScalarMappable.__init__(self, **kw)
-        if vmin is not None:
-            self.norm.vmin = vmin
-        if vmax is not None:
-            self.norm.vmax = vmax
+            self.set_norm(norm)
+        with self.norm.callbacks.blocked(signal="changed"):
+            if vmin is not None:
+                self.norm.vmin = vmin
+            if vmax is not None:
+                self.norm.vmax = vmax
+        self.norm._changed()
         self._process_colors()
 
-        self.allsegs, self.allkinds = self._get_allsegs_and_allkinds()
+        if self._paths is None:
+            self._paths = self._make_paths_from_contour_generator()
 
         if self.filled:
-            if self.linewidths is not None:
-                warnings.warn('linewidths is ignored by contourf')
-
+            if linewidths is not None:
+                _api.warn_external('linewidths is ignored by contourf')
             # Lower and upper contour levels.
             lowers, uppers = self._get_lowers_and_uppers()
-
-            # Ensure allkinds can be zipped below.
-            if self.allkinds is None:
-                self.allkinds = [None] * len(self.allsegs)
-
-            for level, level_upper, segs, kinds in \
-                    zip(lowers, uppers, self.allsegs, self.allkinds):
-                paths = self._make_paths(segs, kinds)
+            self.set(
+                edgecolor="none",
                 # Default zorder taken from Collection
-                zorder = kwargs.get('zorder', 1)
-                col = mcoll.PathCollection(
-                    paths,
-                    antialiaseds=(self.antialiased,),
-                    edgecolors='none',
-                    alpha=self.alpha,
-                    transform=self.get_transform(),
-                    zorder=zorder)
-                self.ax.add_collection(col, autolim=False)
-                self.collections.append(col)
+                zorder=kwargs.pop("zorder", 1),
+                rasterized=kwargs.pop("rasterized", False),
+            )
+
         else:
-            tlinewidths = self._process_linewidths()
-            self.tlinewidths = tlinewidths
-            tlinestyles = self._process_linestyles()
-            aa = self.antialiased
-            if aa is not None:
-                aa = (self.antialiased,)
-            for level, width, lstyle, segs in \
-                    zip(self.levels, tlinewidths, tlinestyles, self.allsegs):
-                # Default zorder taken from LineCollection
-                zorder = kwargs.get('zorder', 2)
-                col = mcoll.LineCollection(
-                    segs,
-                    antialiaseds=aa,
-                    linewidths=width,
-                    linestyle=[lstyle],
-                    alpha=self.alpha,
-                    transform=self.get_transform(),
-                    zorder=zorder)
-                col.set_label('_nolegend_')
-                self.ax.add_collection(col, autolim=False)
-                self.collections.append(col)
+            self.set(
+                facecolor="none",
+                linewidths=self._process_linewidths(linewidths),
+                linestyle=self._process_linestyles(linestyles),
+                # Default zorder taken from LineCollection, which is higher
+                # than for filled contours so that lines are displayed on top.
+                zorder=kwargs.pop("zorder", 2),
+                label="_nolegend_",
+            )
+
+        self.axes.add_collection(self, autolim=False)
+        self.sticky_edges.x[:] = [self._mins[0], self._maxs[0]]
+        self.sticky_edges.y[:] = [self._mins[1], self._maxs[1]]
+        self.axes.update_datalim([self._mins, self._maxs])
+        self.axes.autoscale_view(tight=True)
+
         self.changed()  # set the colors
 
+        if kwargs:
+            _api.warn_external(
+                'The following kwargs were not used by contour: ' +
+                ", ".join(map(repr, kwargs))
+            )
+
+    allsegs = property(lambda self: [
+        [subp.vertices for subp in p._iter_connected_components()]
+        for p in self.get_paths()])
+    allkinds = property(lambda self: [
+        [subp.codes for subp in p._iter_connected_components()]
+        for p in self.get_paths()])
+    alpha = property(lambda self: self.get_alpha())
+    linestyles = property(lambda self: self._orig_linestyles)
+
     def get_transform(self):
-        """
-        Return the :class:`~matplotlib.transforms.Transform`
-        instance used by this ContourSet.
-        """
+        """Return the `.Transform` instance used by this ContourSet."""
         if self._transform is None:
-            self._transform = self.ax.transData
-        elif (not isinstance(self._transform, mtrans.Transform)
+            self._transform = self.axes.transData
+        elif (not isinstance(self._transform, mtransforms.Transform)
               and hasattr(self._transform, '_as_mpl_transform')):
-            self._transform = self._transform._as_mpl_transform(self.ax)
+            self._transform = self._transform._as_mpl_transform(self.axes)
         return self._transform
 
     def __getstate__(self):
         state = self.__dict__.copy()
-        # the C object Cntr cannot currently be pickled. This isn't a big issue
-        # as it is not actually used once the contour has been calculated
-        state['Cntr'] = None
+        # the C object _contour_generator cannot currently be pickled. This
+        # isn't a big issue as it is not actually used once the contour has
+        # been calculated.
+        state['_contour_generator'] = None
         return state
 
     def legend_elements(self, variable_name='x', str_format=str):
         """
-        Return a list of artist and labels suitable for passing through
-        to :func:`plt.legend` which represent this ContourSet.
-
-        Args:
-
-            *variable_name*: the string used inside the inequality used
-              on the labels
-
-            *str_format*: function used to format the numbers in the labels
+        Return a list of artists and labels suitable for passing through
+        to `~.Axes.legend` which represent this ContourSet.
+
+        The labels have the form "0 < x <= 1" stating the data ranges which
+        the artists represent.
+
+        Parameters
+        ----------
+        variable_name : str
+            The string used inside the inequality used on the labels.
+        str_format : function: float -> str
+            Function used to format the numbers in the labels.
+
+        Returns
+        -------
+        artists : list[`.Artist`]
+            A list of the artists.
+        labels : list[str]
+            A list of the labels.
         """
         artists = []
         labels = []
 
         if self.filled:
             lowers, uppers = self._get_lowers_and_uppers()
-            n_levels = len(self.collections)
-
-            for i, (collection, lower, upper) in enumerate(
-                    zip(self.collections, lowers, uppers)):
-                patch = mpatches.Rectangle(
+            n_levels = len(self._paths)
+            for idx in range(n_levels):
+                artists.append(mpatches.Rectangle(
                     (0, 0), 1, 1,
-                    facecolor=collection.get_facecolor()[0],
-                    hatch=collection.get_hatch(),
-                    alpha=collection.get_alpha())
-                artists.append(patch)
-
-                lower = str_format(lower)
-                upper = str_format(upper)
-
-                if i == 0 and self.extend in ('min', 'both'):
-                    labels.append(r'$%s \leq %s$' % (variable_name,
-                                                     lower))
-                elif i == n_levels - 1 and self.extend in ('max', 'both'):
-                    labels.append(r'$%s > %s$' % (variable_name,
-                                                  upper))
+                    facecolor=self.get_facecolor()[idx],
+                    hatch=self.hatches[idx % len(self.hatches)],
+                ))
+                lower = str_format(lowers[idx])
+                upper = str_format(uppers[idx])
+                if idx == 0 and self.extend in ('min', 'both'):
+                    labels.append(fr'${variable_name} \leq {lower}s$')
+                elif idx == n_levels - 1 and self.extend in ('max', 'both'):
+                    labels.append(fr'${variable_name} > {upper}s$')
                 else:
-                    labels.append(r'$%s < %s \leq %s$' % (lower,
-                                                          variable_name,
-                                                          upper))
+                    labels.append(fr'${lower} < {variable_name} \leq {upper}$')
         else:
-            for collection, level in zip(self.collections, self.levels):
-
-                patch = mcoll.LineCollection(None)
-                patch.update_from(collection)
-
-                artists.append(patch)
-                # format the level for insertion into the labels
-                level = str_format(level)
-                labels.append(r'$%s = %s$' % (variable_name, level))
+            for idx, level in enumerate(self.levels):
+                artists.append(Line2D(
+                    [], [],
+                    color=self.get_edgecolor()[idx],
+                    linewidth=self.get_linewidths()[idx],
+                    linestyle=self.get_linestyles()[idx],
+                ))
+                labels.append(fr'${variable_name} = {str_format(level)}$')
 
         return artists, labels
 
@@ -1052,57 +880,62 @@ def _process_args(self, *args, **kwargs):
         """
         Process *args* and *kwargs*; override in derived classes.
 
-        Must set self.levels, self.zmin and self.zmax, and update axes
-        limits.
+        Must set self.levels, self.zmin and self.zmax, and update Axes limits.
         """
         self.levels = args[0]
-        self.allsegs = args[1]
-        self.allkinds = len(args) > 2 and args[2] or None
-        self.zmax = np.amax(self.levels)
-        self.zmin = np.amin(self.levels)
-        self._auto = False
+        allsegs = args[1]
+        allkinds = args[2] if len(args) > 2 else None
+        self.zmax = np.max(self.levels)
+        self.zmin = np.min(self.levels)
+
+        if allkinds is None:
+            allkinds = [[None] * len(segs) for segs in allsegs]
 
         # Check lengths of levels and allsegs.
         if self.filled:
-            if len(self.allsegs) != len(self.levels) - 1:
+            if len(allsegs) != len(self.levels) - 1:
                 raise ValueError('must be one less number of segments as '
                                  'levels')
         else:
-            if len(self.allsegs) != len(self.levels):
+            if len(allsegs) != len(self.levels):
                 raise ValueError('must be same number of segments as levels')
 
         # Check length of allkinds.
-        if (self.allkinds is not None and
-                len(self.allkinds) != len(self.allsegs)):
+        if len(allkinds) != len(allsegs):
             raise ValueError('allkinds has different length to allsegs')
 
-        # Determine x,y bounds and update axes data limits.
-        havelimits = False
-        for segs in self.allsegs:
-            for seg in segs:
-                seg = np.asarray(seg)
-                if havelimits:
-                    min = np.minimum(min, seg.min(axis=0))
-                    max = np.maximum(max, seg.max(axis=0))
-                else:
-                    min = seg.min(axis=0)
-                    max = seg.max(axis=0)
-                    havelimits = True
-
-        if havelimits:
-            self.ax.update_datalim([min, max])
-            self.ax.autoscale_view(tight=True)
-
-    def _get_allsegs_and_allkinds(self):
-        """
-        Override in derived classes to create and return allsegs and allkinds.
-        allkinds can be None.
-        """
-        return self.allsegs, self.allkinds
+        # Determine x, y bounds and update axes data limits.
+        flatseglist = [s for seg in allsegs for s in seg]
+        points = np.concatenate(flatseglist, axis=0)
+        self._mins = points.min(axis=0)
+        self._maxs = points.max(axis=0)
+
+        # Each entry in (allsegs, allkinds) is a list of (segs, kinds): segs is a list
+        # of (N, 2) arrays of xy coordinates, kinds is a list of arrays of corresponding
+        # pathcodes.  However, kinds can also be None; in which case all paths in that
+        # list are codeless (this case is normalized above).  These lists are used to
+        # construct paths, which then get concatenated.
+        self._paths = [Path.make_compound_path(*map(Path, segs, kinds))
+                       for segs, kinds in zip(allsegs, allkinds)]
+
+        return kwargs
+
+    def _make_paths_from_contour_generator(self):
+        """Compute ``paths`` using C extension."""
+        if self._paths is not None:
+            return self._paths
+        cg = self._contour_generator
+        empty_path = Path(np.empty((0, 2)))
+        vertices_and_codes = (
+            map(cg.create_filled_contour, *self._get_lowers_and_uppers())
+            if self.filled else
+            map(cg.create_contour, self.levels))
+        return [Path(np.concatenate(vs), np.concatenate(cs)) if len(vs) else empty_path
+                for vs, cs in vertices_and_codes]
 
     def _get_lowers_and_uppers(self):
         """
-        Return (lowers,uppers) for filled contours.
+        Return ``(lowers, uppers)`` for filled contours.
         """
         lowers = self._levels[:-1]
         if self.zmin == lowers[0]:
@@ -1115,33 +948,43 @@ def _get_lowers_and_uppers(self):
         uppers = self._levels[1:]
         return (lowers, uppers)
 
-    def _make_paths(self, segs, kinds):
-        if kinds is not None:
-            return [mpath.Path(seg, codes=kind)
-                    for seg, kind in zip(segs, kinds)]
-        else:
-            return [mpath.Path(seg) for seg in segs]
-
     def changed(self):
-        tcolors = [(tuple(rgba),)
-                   for rgba in self.to_rgba(self.cvalues, alpha=self.alpha)]
-        self.tcolors = tcolors
-        hatches = self.hatches * len(tcolors)
-        for color, hatch, collection in zip(tcolors, hatches,
-                                            self.collections):
-            if self.filled:
-                collection.set_facecolor(color)
-                # update the collection's hatch (may be None)
-                collection.set_hatch(hatch)
-            else:
-                collection.set_color(color)
-        for label, cv in zip(self.labelTexts, self.labelCValues):
-            label.set_alpha(self.alpha)
+        if not hasattr(self, "cvalues"):
+            self._process_colors()  # Sets cvalues.
+        # Force an autoscale immediately because self.to_rgba() calls
+        # autoscale_None() internally with the data passed to it,
+        # so if vmin/vmax are not set yet, this would override them with
+        # content from *cvalues* rather than levels like we want
+        self.norm.autoscale_None(self.levels)
+        self.set_array(self.cvalues)
+        self.update_scalarmappable()
+        alphas = np.broadcast_to(self.get_alpha(), len(self.cvalues))
+        for label, cv, alpha in zip(self.labelTexts, self.labelCValues, alphas):
+            label.set_alpha(alpha)
             label.set_color(self.labelMappable.to_rgba(cv))
-        # add label colors
-        cm.ScalarMappable.changed(self)
+        super().changed()
+
+    def _ensure_locator_exists(self, N):
+        """
+        Set a locator on this ContourSet if it's not already set.
+
+        Parameters
+        ----------
+        N : int or None
+            If *N* is an int, it is used as the target number of levels.
+            Otherwise when *N* is None, a reasonable default is chosen;
+            for logscales the LogLocator chooses, N=7 is the default
+            otherwise.
+        """
+        if self.locator is None:
+            if self.logscale:
+                self.locator = ticker.LogLocator(numticks=N)
+            else:
+                if N is None:
+                    N = 7  # Hard coded default
+                self.locator = ticker.MaxNLocator(N + 1, min_n_ticks=1)
 
-    def _autolev(self, z, N):
+    def _autolev(self):
         """
         Select contour levels to span the data.
 
@@ -1152,46 +995,52 @@ def _autolev(self, z, N):
         one contour line, but two filled regions, and therefore
         three levels to provide boundaries for both regions.
         """
-        if self.locator is None:
-            if self.logscale:
-                self.locator = ticker.LogLocator()
-            else:
-                self.locator = ticker.MaxNLocator(N + 1)
-        zmax = self.zmax
-        zmin = self.zmin
-        lev = self.locator.tick_values(zmin, zmax)
-        self._auto = True
-        if self.filled:
-            return lev
-        # For line contours, drop levels outside the data range.
-        return lev[(lev > zmin) & (lev < zmax)]
-
-    def _contour_level_args(self, z, args):
+        lev = self.locator.tick_values(self.zmin, self.zmax)
+
+        try:
+            if self.locator._symmetric:
+                return lev
+        except AttributeError:
+            pass
+
+        # Trim excess levels the locator may have supplied.
+        under = np.nonzero(lev < self.zmin)[0]
+        i0 = under[-1] if len(under) else 0
+        over = np.nonzero(lev > self.zmax)[0]
+        i1 = over[0] + 1 if len(over) else len(lev)
+        if self.extend in ('min', 'both'):
+            i0 += 1
+        if self.extend in ('max', 'both'):
+            i1 -= 1
+
+        if i1 - i0 < 3:
+            i0, i1 = 0, len(lev)
+
+        return lev[i0:i1]
+
+    def _process_contour_level_args(self, args, z_dtype):
         """
         Determine the contour levels and store in self.levels.
         """
-        if self.filled:
-            fn = 'contourf'
+        levels_arg = self.levels
+        if levels_arg is None:
+            if args:
+                # Set if levels manually provided
+                levels_arg = args[0]
+            elif np.issubdtype(z_dtype, bool):
+                # Set default values for bool data types
+                levels_arg = [0, .5, 1] if self.filled else [.5]
+
+        if isinstance(levels_arg, Integral) or levels_arg is None:
+            self._ensure_locator_exists(levels_arg)
+            self.levels = self._autolev()
         else:
-            fn = 'contour'
-        self._auto = False
-        if self.levels is None:
-            if len(args) == 0:
-                lev = self._autolev(z, 7)
-            else:
-                level_arg = args[0]
-                try:
-                    if type(level_arg) == int:
-                        lev = self._autolev(z, level_arg)
-                    else:
-                        lev = np.asarray(level_arg).astype(np.float64)
-                except:
-                    raise TypeError(
-                        "Last %s arg must give levels; see help(%s)" %
-                        (fn, fn))
-            self.levels = lev
+            self.levels = np.asarray(levels_arg, np.float64)
+
         if self.filled and len(self.levels) < 2:
             raise ValueError("Filled contours require at least 2 levels.")
+        if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
+            raise ValueError("Contour levels must be increasing")
 
     def _process_levels(self):
         """
@@ -1202,40 +1051,39 @@ def _process_levels(self):
         a line is a thin layer.  No extended levels are needed
         with line contours.
         """
-        # The following attributes are no longer needed, and
-        # should be deprecated and removed to reduce confusion.
-        self.vmin = np.amin(self.levels)
-        self.vmax = np.amax(self.levels)
-
         # Make a private _levels to include extended regions; we
         # want to leave the original levels attribute unchanged.
         # (Colorbar needs this even for line contours.)
         self._levels = list(self.levels)
 
+        if self.logscale:
+            lower, upper = 1e-250, 1e250
+        else:
+            lower, upper = -1e250, 1e250
+
         if self.extend in ('both', 'min'):
-            self._levels.insert(0, min(self.levels[0], self.zmin) - 1)
+            self._levels.insert(0, lower)
         if self.extend in ('both', 'max'):
-            self._levels.append(max(self.levels[-1], self.zmax) + 1)
+            self._levels.append(upper)
         self._levels = np.asarray(self._levels)
 
         if not self.filled:
             self.layers = self.levels
             return
 
-        # layer values are mid-way between levels
-        self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
-        # ...except that extended layers must be outside the
-        # normed range:
-        if self.extend in ('both', 'min'):
-            self.layers[0] = -np.inf
-        if self.extend in ('both', 'max'):
-            self.layers[-1] = np.inf
+        # Layer values are mid-way between levels in screen space.
+        if self.logscale:
+            # Avoid overflow by taking sqrt before multiplying.
+            self.layers = (np.sqrt(self._levels[:-1])
+                           * np.sqrt(self._levels[1:]))
+        else:
+            self.layers = 0.5 * (self._levels[:-1] + self._levels[1:])
 
     def _process_colors(self):
         """
         Color argument processing for contouring.
 
-        Note that we base the color mapping on the contour levels
+        Note that we base the colormapping on the contour levels
         and layers, not on the actual range of the Z values.  This
         means we don't have to worry about bad values in Z, and we
         always have the full dynamic range available for the selected
@@ -1260,55 +1108,47 @@ def _process_colors(self):
             i0, i1 = 0, len(self.levels)
             if self.filled:
                 i1 -= 1
-            # Out of range indices for over and under:
-            if self.extend in ('both', 'min'):
-                i0 = -1
-            if self.extend in ('both', 'max'):
-                i1 += 1
+                # Out of range indices for over and under:
+                if self.extend in ('both', 'min'):
+                    i0 -= 1
+                if self.extend in ('both', 'max'):
+                    i1 += 1
             self.cvalues = list(range(i0, i1))
-            self.set_norm(colors.NoNorm())
+            self.set_norm(mcolors.NoNorm())
         else:
             self.cvalues = self.layers
-        self.set_array(self.levels)
-        self.autoscale_None()
+        self.norm.autoscale_None(self.levels)
+        self.set_array(self.cvalues)
+        self.update_scalarmappable()
         if self.extend in ('both', 'max', 'min'):
             self.norm.clip = False
 
-        # self.tcolors are set by the "changed" method
-
-    def _process_linewidths(self):
-        linewidths = self.linewidths
+    def _process_linewidths(self, linewidths):
         Nlev = len(self.levels)
         if linewidths is None:
-            tlinewidths = [(mpl.rcParams['lines.linewidth'],)] * Nlev
+            default_linewidth = mpl.rcParams['contour.linewidth']
+            if default_linewidth is None:
+                default_linewidth = mpl.rcParams['lines.linewidth']
+            return [default_linewidth] * Nlev
+        elif not np.iterable(linewidths):
+            return [linewidths] * Nlev
         else:
-            if not cbook.iterable(linewidths):
-                linewidths = [linewidths] * Nlev
-            else:
-                linewidths = list(linewidths)
-                if len(linewidths) < Nlev:
-                    nreps = int(np.ceil(Nlev / len(linewidths)))
-                    linewidths = linewidths * nreps
-                if len(linewidths) > Nlev:
-                    linewidths = linewidths[:Nlev]
-            tlinewidths = [(w,) for w in linewidths]
-        return tlinewidths
-
-    def _process_linestyles(self):
-        linestyles = self.linestyles
+            linewidths = list(linewidths)
+            return (linewidths * math.ceil(Nlev / len(linewidths)))[:Nlev]
+
+    def _process_linestyles(self, linestyles):
         Nlev = len(self.levels)
         if linestyles is None:
             tlinestyles = ['solid'] * Nlev
             if self.monochrome:
-                neg_ls = mpl.rcParams['contour.negative_linestyle']
                 eps = - (self.zmax - self.zmin) * 1e-15
                 for i, lev in enumerate(self.levels):
                     if lev < eps:
-                        tlinestyles[i] = neg_ls
+                        tlinestyles[i] = self.negative_linestyles
         else:
-            if cbook.is_string_like(linestyles):
+            if isinstance(linestyles, str):
                 tlinestyles = [linestyles] * Nlev
-            elif cbook.iterable(linestyles):
+            elif np.iterable(linestyles):
                 tlinestyles = list(linestyles)
                 if len(tlinestyles) < Nlev:
                     nreps = int(np.ceil(Nlev / len(linestyles)))
@@ -1319,255 +1159,270 @@ def _process_linestyles(self):
                 raise ValueError("Unrecognized type for linestyles kwarg")
         return tlinestyles
 
-    def get_alpha(self):
-        """returns alpha to be applied to all ContourSet artists"""
-        return self.alpha
-
-    def set_alpha(self, alpha):
-        """sets alpha for all ContourSet artists"""
-        self.alpha = alpha
-        self.changed()
-
-    def find_nearest_contour(self, x, y, indices=None, pixel=True):
+    def _find_nearest_contour(self, xy, indices=None):
         """
-        Finds contour that is closest to a point.  Defaults to
-        measuring distance in pixels (screen space - useful for manual
-        contour labeling), but this can be controlled via a keyword
-        argument.
-
-        Returns a tuple containing the contour, segment, index of
-        segment, x & y of segment point and distance to minimum point.
-
-        Call signature::
-
-          conmin,segmin,imin,xmin,ymin,dmin = find_nearest_contour(
-                     self, x, y, indices=None, pixel=True )
-
-        Optional keyword arguments:
-
-          *indices*:
-            Indexes of contour levels to consider when looking for
-            nearest point.  Defaults to using all levels.
-
-          *pixel*:
-            If *True*, measure distance in pixel space, if not, measure
-            distance in axes space.  Defaults to *True*.
-
+        Find the point in the unfilled contour plot that is closest (in screen
+        space) to point *xy*.
+
+        Parameters
+        ----------
+        xy : tuple[float, float]
+            The reference point (in screen space).
+        indices : list of int or None, default: None
+            Indices of contour levels to consider.  If None (the default), all levels
+            are considered.
+
+        Returns
+        -------
+        idx_level_min : int
+            The index of the contour level closest to *xy*.
+        idx_vtx_min : int
+            The index of the `.Path` segment closest to *xy* (at that level).
+        proj : (float, float)
+            The point in the contour plot closest to *xy*.
         """
 
-        # This function uses a method that is probably quite
-        # inefficient based on converting each contour segment to
-        # pixel coordinates and then comparing the given point to
-        # those coordinates for each contour.  This will probably be
-        # quite slow for complex contours, but for normal use it works
-        # sufficiently well that the time is not noticeable.
-        # Nonetheless, improvements could probably be made.
-
-        if indices is None:
-            indices = list(xrange(len(self.levels)))
-
-        dmin = np.inf
-        conmin = None
-        segmin = None
-        xmin = None
-        ymin = None
-
-        point = np.array([x, y])
-
-        for icon in indices:
-            con = self.collections[icon]
-            trans = con.get_transform()
-            paths = con.get_paths()
+        # Convert each contour segment to pixel coordinates and then compare the given
+        # point to those coordinates for each contour. This is fast enough in normal
+        # cases, but speedups may be possible.
 
-            for segNum, linepath in enumerate(paths):
-                lc = linepath.vertices
-                # transfer all data points to screen coordinates if desired
-                if pixel:
-                    lc = trans.transform(lc)
-
-                d, xc, leg = _find_closest_point_on_path(lc, point)
-                if d < dmin:
-                    dmin = d
-                    conmin = icon
-                    segmin = segNum
-                    imin = leg[1]
-                    xmin = xc[0]
-                    ymin = xc[1]
-
-        return (conmin, segmin, imin, xmin, ymin, dmin)
+        if self.filled:
+            raise ValueError("Method does not support filled contours")
 
+        if indices is None:
+            indices = range(len(self._paths))
+
+        d2min = np.inf
+        idx_level_min = idx_vtx_min = proj_min = None
+
+        for idx_level in indices:
+            path = self._paths[idx_level]
+            idx_vtx_start = 0
+            for subpath in path._iter_connected_components():
+                if not len(subpath.vertices):
+                    continue
+                lc = self.get_transform().transform(subpath.vertices)
+                d2, proj, leg = _find_closest_point_on_path(lc, xy)
+                if d2 < d2min:
+                    d2min = d2
+                    idx_level_min = idx_level
+                    idx_vtx_min = leg[1] + idx_vtx_start
+                    proj_min = proj
+                idx_vtx_start += len(subpath)
+
+        return idx_level_min, idx_vtx_min, proj_min
 
+    def find_nearest_contour(self, x, y, indices=None, pixel=True):
+        """
+        Find the point in the contour plot that is closest to ``(x, y)``.
+
+        This method does not support filled contours.
+
+        Parameters
+        ----------
+        x, y : float
+            The reference point.
+        indices : list of int or None, default: None
+            Indices of contour levels to consider.  If None (the default), all
+            levels are considered.
+        pixel : bool, default: True
+            If *True*, measure distance in pixel (screen) space, which is
+            useful for manual contour labeling; else, measure distance in axes
+            space.
+
+        Returns
+        -------
+        path : int
+            The index of the path that is closest to ``(x, y)``.  Each path corresponds
+            to one contour level.
+        subpath : int
+            The index within that closest path of the subpath that is closest to
+            ``(x, y)``.  Each subpath corresponds to one unbroken contour line.
+        index : int
+            The index of the vertices within that subpath that are closest to
+            ``(x, y)``.
+        xmin, ymin : float
+            The point in the contour plot that is closest to ``(x, y)``.
+        d2 : float
+            The squared distance from ``(xmin, ymin)`` to ``(x, y)``.
+        """
+        segment = index = d2 = None
+
+        with ExitStack() as stack:
+            if not pixel:
+                # _find_nearest_contour works in pixel space. We want axes space, so
+                # effectively disable the transformation here by setting to identity.
+                stack.enter_context(self._cm_set(
+                    transform=mtransforms.IdentityTransform()))
+
+            i_level, i_vtx, (xmin, ymin) = self._find_nearest_contour((x, y), indices)
+
+        if i_level is not None:
+            cc_cumlens = np.cumsum(
+                [*map(len, self._paths[i_level]._iter_connected_components())])
+            segment = cc_cumlens.searchsorted(i_vtx, "right")
+            index = i_vtx if segment == 0 else i_vtx - cc_cumlens[segment - 1]
+            d2 = (xmin-x)**2 + (ymin-y)**2
+
+        return (i_level, segment, index, xmin, ymin, d2)
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        paths = self._paths
+        n_paths = len(paths)
+        if not self.filled or all(hatch is None for hatch in self.hatches):
+            super().draw(renderer)
+            return
+        # In presence of hatching, draw contours one at a time.
+        edgecolors = self.get_edgecolors()
+        if edgecolors.size == 0:
+            edgecolors = ("none",)
+        for idx in range(n_paths):
+            with cbook._setattr_cm(self, _paths=[paths[idx]]), self._cm_set(
+                hatch=self.hatches[idx % len(self.hatches)],
+                array=[self.get_array()[idx]],
+                linewidths=[self.get_linewidths()[idx % len(self.get_linewidths())]],
+                linestyles=[self.get_linestyles()[idx % len(self.get_linestyles())]],
+                edgecolors=edgecolors[idx % len(edgecolors)],
+            ):
+                super().draw(renderer)
+
+
+@_docstring.interpd
 class QuadContourSet(ContourSet):
     """
     Create and store a set of contour lines or filled regions.
 
-    User-callable method: :meth:`clabel`
-
-    Useful attributes:
-      ax:
-        The axes object in which the contours are drawn
-
-      collections:
-        A silent_list of LineCollections or PolyCollections
-
-      levels:
-        Contour levels
+    This class is typically not instantiated directly by the user but by
+    `~.Axes.contour` and `~.Axes.contourf`.
 
-      layers:
-        Same as levels for line contours; half-way between
-        levels for filled contours.  See :meth:`_process_colors` method.
+    %(contour_set_attributes)s
     """
-    def __init__(self, ax, *args, **kwargs):
-        """
-        Calculate and draw contour lines or filled regions, depending
-        on whether keyword arg 'filled' is False (default) or True.
-
-        The first argument of the initializer must be an axes
-        object.  The remaining arguments and keyword arguments
-        are described in QuadContourSet.contour_doc.
-        """
-        ContourSet.__init__(self, ax, *args, **kwargs)
 
-    def _process_args(self, *args, **kwargs):
+    def _process_args(self, *args, corner_mask=None, algorithm=None, **kwargs):
         """
         Process args and kwargs.
         """
-        if isinstance(args[0], QuadContourSet):
-            C = args[0].Cntr
+        if args and isinstance(args[0], QuadContourSet):
             if self.levels is None:
                 self.levels = args[0].levels
             self.zmin = args[0].zmin
             self.zmax = args[0].zmax
+            self._corner_mask = args[0]._corner_mask
+            contour_generator = args[0]._contour_generator
+            self._mins = args[0]._mins
+            self._maxs = args[0]._maxs
+            self._algorithm = args[0]._algorithm
         else:
+            import contourpy
+
+            algorithm = mpl._val_or_rc(algorithm, 'contour.algorithm')
+            mpl.rcParams.validate["contour.algorithm"](algorithm)
+            self._algorithm = algorithm
+
+            if corner_mask is None:
+                if self._algorithm == "mpl2005":
+                    # mpl2005 does not support corner_mask=True so if not
+                    # specifically requested then disable it.
+                    corner_mask = False
+                else:
+                    corner_mask = mpl.rcParams['contour.corner_mask']
+            self._corner_mask = corner_mask
+
             x, y, z = self._contour_args(args, kwargs)
 
-            _mask = ma.getmask(z)
-            if _mask is ma.nomask:
-                _mask = None
-            C = _cntr.Cntr(x, y, z.filled(), _mask)
+            contour_generator = contourpy.contour_generator(
+                x, y, z, name=self._algorithm, corner_mask=self._corner_mask,
+                line_type=contourpy.LineType.SeparateCode,
+                fill_type=contourpy.FillType.OuterCode,
+                chunk_size=self.nchunk)
 
             t = self.get_transform()
 
             # if the transform is not trans data, and some part of it
             # contains transData, transform the xs and ys to data coordinates
-            if (t != self.ax.transData and
-                    any(t.contains_branch_seperately(self.ax.transData))):
-                trans_to_data = t - self.ax.transData
-                pts = (np.vstack([x.flat, y.flat]).T)
+            if (t != self.axes.transData and
+                    any(t.contains_branch_seperately(self.axes.transData))):
+                trans_to_data = t - self.axes.transData
+                pts = np.vstack([x.flat, y.flat]).T
                 transformed_pts = trans_to_data.transform(pts)
                 x = transformed_pts[..., 0]
                 y = transformed_pts[..., 1]
 
-            x0 = ma.minimum(x)
-            x1 = ma.maximum(x)
-            y0 = ma.minimum(y)
-            y1 = ma.maximum(y)
-            self.ax.update_datalim([(x0, y0), (x1, y1)])
-            self.ax.autoscale_view(tight=True)
+            self._mins = [ma.min(x), ma.min(y)]
+            self._maxs = [ma.max(x), ma.max(y)]
 
-        self.Cntr = C
+        self._contour_generator = contour_generator
 
-    def _get_allsegs_and_allkinds(self):
-        """
-        Create and return allsegs and allkinds by calling underlying C code.
-        """
-        allsegs = []
-        if self.filled:
-            lowers, uppers = self._get_lowers_and_uppers()
-            allkinds = []
-            for level, level_upper in zip(lowers, uppers):
-                nlist = self.Cntr.trace(level, level_upper,
-                                        nchunk=self.nchunk)
-                nseg = len(nlist) // 2
-                segs = nlist[:nseg]
-                kinds = nlist[nseg:]
-                allsegs.append(segs)
-                allkinds.append(kinds)
-        else:
-            allkinds = None
-            for level in self.levels:
-                nlist = self.Cntr.trace(level)
-                nseg = len(nlist) // 2
-                segs = nlist[:nseg]
-                allsegs.append(segs)
-        return allsegs, allkinds
+        return kwargs
 
     def _contour_args(self, args, kwargs):
         if self.filled:
             fn = 'contourf'
         else:
             fn = 'contour'
-        Nargs = len(args)
-        if Nargs <= 2:
-            z = ma.asarray(args[0], dtype=np.float64)
+        nargs = len(args)
+
+        if 0 < nargs <= 2:
+            z, *args = args
+            z = ma.asarray(z)
             x, y = self._initialize_x_y(z)
-            args = args[1:]
-        elif Nargs <= 4:
-            x, y, z = self._check_xyz(args[:3], kwargs)
-            args = args[3:]
+        elif 2 < nargs <= 4:
+            x, y, z_orig, *args = args
+            x, y, z = self._check_xyz(x, y, z_orig, kwargs)
+
         else:
-            raise TypeError("Too many arguments to %s; see help(%s)" %
-                            (fn, fn))
+            raise _api.nargs_error(fn, takes="from 1 to 4", given=nargs)
         z = ma.masked_invalid(z, copy=False)
-        self.zmax = ma.maximum(z)
-        self.zmin = ma.minimum(z)
+        self.zmax = z.max().astype(float)
+        self.zmin = z.min().astype(float)
         if self.logscale and self.zmin <= 0:
             z = ma.masked_where(z <= 0, z)
-            warnings.warn('Log scale: values of z <= 0 have been masked')
-            self.zmin = z.min()
-        self._contour_level_args(z, args)
+            _api.warn_external('Log scale: values of z <= 0 have been masked')
+            self.zmin = z.min().astype(float)
+        self._process_contour_level_args(args, z.dtype)
         return (x, y, z)
 
-    def _check_xyz(self, args, kwargs):
+    def _check_xyz(self, x, y, z, kwargs):
         """
-        For functions like contour, check that the dimensions
-        of the input arrays match; if x and y are 1D, convert
-        them to 2D using meshgrid.
-
-        Possible change: I think we should make and use an ArgumentError
-        Exception class (here and elsewhere).
+        Check that the shapes of the input arrays match; if x and y are 1D,
+        convert them to 2D using meshgrid.
         """
-        x, y = args[:2]
-        self.ax._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
-        x = self.ax.convert_xunits(x)
-        y = self.ax.convert_yunits(y)
+        x, y = self.axes._process_unit_info([("x", x), ("y", y)], kwargs)
 
         x = np.asarray(x, dtype=np.float64)
         y = np.asarray(y, dtype=np.float64)
-        z = ma.asarray(args[2], dtype=np.float64)
+        z = ma.asarray(z)
 
         if z.ndim != 2:
-            raise TypeError("Input z must be a 2D array.")
-        else:
-            Ny, Nx = z.shape
+            raise TypeError(f"Input z must be 2D, not {z.ndim}D")
+        if z.shape[0] < 2 or z.shape[1] < 2:
+            raise TypeError(f"Input z must be at least a (2, 2) shaped array, "
+                            f"but has shape {z.shape}")
+        Ny, Nx = z.shape
 
         if x.ndim != y.ndim:
-            raise TypeError("Number of dimensions of x and y should match.")
-
+            raise TypeError(f"Number of dimensions of x ({x.ndim}) and y "
+                            f"({y.ndim}) do not match")
         if x.ndim == 1:
-
             nx, = x.shape
             ny, = y.shape
-
             if nx != Nx:
-                raise TypeError("Length of x must be number of columns in z.")
-
+                raise TypeError(f"Length of x ({nx}) must match number of "
+                                f"columns in z ({Nx})")
             if ny != Ny:
-                raise TypeError("Length of y must be number of rows in z.")
-
+                raise TypeError(f"Length of y ({ny}) must match number of "
+                                f"rows in z ({Ny})")
             x, y = np.meshgrid(x, y)
-
         elif x.ndim == 2:
-
             if x.shape != z.shape:
-                raise TypeError("Shape of x does not match that of z: found "
-                                "{0} instead of {1}.".format(x.shape, z.shape))
-
+                raise TypeError(
+                    f"Shapes of x {x.shape} and z {z.shape} do not match")
             if y.shape != z.shape:
-                raise TypeError("Shape of y does not match that of z: found "
-                                "{0} instead of {1}.".format(y.shape, z.shape))
+                raise TypeError(
+                    f"Shapes of y {y.shape} and z {z.shape} do not match")
         else:
-            raise TypeError("Inputs x and y must be 1D or 2D.")
+            raise TypeError(f"Inputs x and y must be 1D or 2D, not {x.ndim}D")
 
         return x, y, z
 
@@ -1575,7 +1430,7 @@ def _initialize_x_y(self, z):
         """
         Return X, Y arrays such that contour(Z) will match imshow(Z)
         if origin is not None.
-        The center of pixel Z[i,j] depends on origin:
+        The center of pixel Z[i, j] depends on origin:
         if origin is None, x = j, y = i;
         if origin is 'lower', x = j + 0.5, y = i + 0.5;
         if origin is 'upper', x = j + 0.5, y = Nrows - i - 0.5
@@ -1585,7 +1440,10 @@ def _initialize_x_y(self, z):
         will give the minimum and maximum values of x and y.
         """
         if z.ndim != 2:
-            raise TypeError("Input must be a 2D array.")
+            raise TypeError(f"Input z must be 2D, not {z.ndim}D")
+        elif z.shape[0] < 2 or z.shape[1] < 2:
+            raise TypeError(f"Input z must be at least a (2, 2) shaped array, "
+                            f"but has shape {z.shape}")
         else:
             Ny, Nx = z.shape
         if self.origin is None:  # Not for image-matching.
@@ -1601,205 +1459,264 @@ def _initialize_x_y(self, z):
             x0, x1, y0, y1 = (0, Nx, 0, Ny)
         else:
             x0, x1, y0, y1 = self.extent
-        dx = float(x1 - x0) / Nx
-        dy = float(y1 - y0) / Ny
+        dx = (x1 - x0) / Nx
+        dy = (y1 - y0) / Ny
         x = x0 + (np.arange(Nx) + 0.5) * dx
         y = y0 + (np.arange(Ny) + 0.5) * dy
         if self.origin == 'upper':
             y = y[::-1]
         return np.meshgrid(x, y)
 
-    contour_doc = """
-        Plot contours.
 
-        :func:`~matplotlib.pyplot.contour` and
-        :func:`~matplotlib.pyplot.contourf` draw contour lines and
-        filled contours, respectively.  Except as noted, function
-        signatures and return values are the same for both versions.
+_docstring.interpd.register(contour_doc="""
+`.contour` and `.contourf` draw contour lines and filled contours,
+respectively.  Except as noted, function signatures and return values
+are the same for both versions.
 
-        :func:`~matplotlib.pyplot.contourf` differs from the MATLAB
-        version in that it does not draw the polygon edges.
-        To draw edges, add line contours with
-        calls to :func:`~matplotlib.pyplot.contour`.
+Parameters
+----------
+X, Y : array-like, optional
+    The coordinates of the values in *Z*.
 
+    *X* and *Y* must both be 2D with the same shape as *Z* (e.g.
+    created via `numpy.meshgrid`), or they must both be 1-D such
+    that ``len(X) == N`` is the number of columns in *Z* and
+    ``len(Y) == M`` is the number of rows in *Z*.
 
-        Call signatures::
+    *X* and *Y* must both be ordered monotonically.
 
-          contour(Z)
+    If not given, they are assumed to be integer indices, i.e.
+    ``X = range(N)``, ``Y = range(M)``.
 
-        make a contour plot of an array *Z*. The level values are chosen
-        automatically.
+Z : (M, N) array-like
+    The height values over which the contour is drawn.  Color-mapping is
+    controlled by *cmap*, *norm*, *vmin*, and *vmax*.
 
-        ::
+levels : int or array-like, optional
+    Determines the number and positions of the contour lines / regions.
 
-          contour(X,Y,Z)
+    If an int *n*, use `~matplotlib.ticker.MaxNLocator`, which tries
+    to automatically choose no more than *n+1* "nice" contour levels
+    between minimum and maximum numeric values of *Z*.
 
-        *X*, *Y* specify the (x, y) coordinates of the surface
+    If array-like, draw contour lines at the specified levels.
+    The values must be in increasing order.
 
-        ::
+Returns
+-------
+`~.contour.QuadContourSet`
 
-          contour(Z,N)
-          contour(X,Y,Z,N)
+Other Parameters
+----------------
+corner_mask : bool, default: :rc:`contour.corner_mask`
+    Enable/disable corner masking, which only has an effect if *Z* is
+    a masked array.  If ``False``, any quad touching a masked point is
+    masked out.  If ``True``, only the triangular corners of quads
+    nearest those points are always masked out, other triangular
+    corners comprising three unmasked points are contoured as usual.
 
-        contour *N* automatically-chosen levels.
+colors : :mpltype:`color` or list of :mpltype:`color`, optional
+    The colors of the levels, i.e. the lines for `.contour` and the
+    areas for `.contourf`.
 
-        ::
+    The sequence is cycled for the levels in ascending order. If the
+    sequence is shorter than the number of levels, it's repeated.
 
-          contour(Z,V)
-          contour(X,Y,Z,V)
+    As a shortcut, a single color may be used in place of one-element lists, i.e.
+    ``'red'`` instead of ``['red']`` to color all levels with the same color.
 
-        draw contour lines at the values specified in sequence *V*
+    .. versionchanged:: 3.10
+        Previously a single color had to be expressed as a string, but now any
+        valid color format may be passed.
 
-        ::
+    By default (value *None*), the colormap specified by *cmap*
+    will be used.
 
-          contourf(..., V)
+alpha : float, default: 1
+    The alpha blending value, between 0 (transparent) and 1 (opaque).
 
-        fill the ``len(V)-1`` regions between the values in *V*
+%(cmap_doc)s
 
-        ::
+    This parameter is ignored if *colors* is set.
 
-          contour(Z, **kwargs)
+%(norm_doc)s
 
-        Use keyword args to control colors, linewidth, origin, cmap ... see
-        below for more details.
+    This parameter is ignored if *colors* is set.
 
-        *X* and *Y* must both be 2-D with the same shape as *Z*, or they
-        must both be 1-D such that ``len(X)`` is the number of columns in
-        *Z* and ``len(Y)`` is the number of rows in *Z*.
+%(vmin_vmax_doc)s
 
-        ``C = contour(...)`` returns a
-        :class:`~matplotlib.contour.QuadContourSet` object.
+    If *vmin* or *vmax* are not given, the default color scaling is based on
+    *levels*.
 
-        Optional keyword arguments:
+    This parameter is ignored if *colors* is set.
 
-          *colors*: [ *None* | string | (mpl_colors) ]
-            If *None*, the colormap specified by cmap will be used.
+%(colorizer_doc)s
 
-            If a string, like 'r' or 'red', all levels will be plotted in this
-            color.
+    This parameter is ignored if *colors* is set.
 
-            If a tuple of matplotlib color args (string, float, rgb, etc),
-            different levels will be plotted in different colors in the order
-            specified.
+origin : {*None*, 'upper', 'lower', 'image'}, default: None
+    Determines the orientation and exact position of *Z* by specifying
+    the position of ``Z[0, 0]``.  This is only relevant, if *X*, *Y*
+    are not given.
 
-          *alpha*: float
-            The alpha blending value
+    - *None*: ``Z[0, 0]`` is at X=0, Y=0 in the lower left corner.
+    - 'lower': ``Z[0, 0]`` is at X=0.5, Y=0.5 in the lower left corner.
+    - 'upper': ``Z[0, 0]`` is at X=N+0.5, Y=0.5 in the upper left
+      corner.
+    - 'image': Use the value from :rc:`image.origin`.
 
-          *cmap*: [ *None* | Colormap ]
-            A cm :class:`~matplotlib.colors.Colormap` instance or
-            *None*. If *cmap* is *None* and *colors* is *None*, a
-            default Colormap is used.
+extent : (x0, x1, y0, y1), optional
+    If *origin* is not *None*, then *extent* is interpreted as in
+    `.imshow`: it gives the outer pixel boundaries. In this case, the
+    position of Z[0, 0] is the center of the pixel, not a corner. If
+    *origin* is *None*, then (*x0*, *y0*) is the position of Z[0, 0],
+    and (*x1*, *y1*) is the position of Z[-1, -1].
 
-          *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` instance for
-            scaling data values to colors. If *norm* is *None* and
-            *colors* is *None*, the default linear scaling is used.
+    This argument is ignored if *X* and *Y* are specified in the call
+    to contour.
 
-          *vmin*, *vmax*: [ *None* | scalar ]
-            If not *None*, either or both of these values will be
-            supplied to the :class:`matplotlib.colors.Normalize`
-            instance, overriding the default color scaling based on
-            *levels*.
+locator : ticker.Locator subclass, optional
+    The locator is used to determine the contour levels if they
+    are not given explicitly via *levels*.
+    Defaults to `~.ticker.MaxNLocator`.
 
-          *levels*: [level0, level1, ..., leveln]
-            A list of floating point numbers indicating the level
-            curves to draw; e.g., to draw just the zero contour pass
-            ``levels=[0]``
+extend : {'neither', 'both', 'min', 'max'}, default: 'neither'
+    Determines the ``contourf``-coloring of values that are outside the
+    *levels* range.
 
-          *origin*: [ *None* | 'upper' | 'lower' | 'image' ]
-            If *None*, the first value of *Z* will correspond to the
-            lower left corner, location (0,0). If 'image', the rc
-            value for ``image.origin`` will be used.
+    If 'neither', values outside the *levels* range are not colored.
+    If 'min', 'max' or 'both', color the values below, above or below
+    and above the *levels* range.
 
-            This keyword is not active if *X* and *Y* are specified in
-            the call to contour.
+    Values below ``min(levels)`` and above ``max(levels)`` are mapped
+    to the under/over values of the `.Colormap`. Note that most
+    colormaps do not have dedicated colors for these by default, so
+    that the over and under values are the edge values of the colormap.
+    You may want to set these values explicitly using
+    `.Colormap.set_under` and `.Colormap.set_over`.
 
-          *extent*: [ *None* | (x0,x1,y0,y1) ]
+    .. note::
 
-            If *origin* is not *None*, then *extent* is interpreted as
-            in :func:`matplotlib.pyplot.imshow`: it gives the outer
-            pixel boundaries. In this case, the position of Z[0,0]
-            is the center of the pixel, not a corner. If *origin* is
-            *None*, then (*x0*, *y0*) is the position of Z[0,0], and
-            (*x1*, *y1*) is the position of Z[-1,-1].
+        An existing `.QuadContourSet` does not get notified if
+        properties of its colormap are changed. Therefore, an explicit
+        call `~.ContourSet.changed()` is needed after modifying the
+        colormap. The explicit call can be left out, if a colorbar is
+        assigned to the `.QuadContourSet` because it internally calls
+        `~.ContourSet.changed()`.
 
-            This keyword is not active if *X* and *Y* are specified in
-            the call to contour.
+    Example::
 
-          *locator*: [ *None* | ticker.Locator subclass ]
-            If *locator* is *None*, the default
-            :class:`~matplotlib.ticker.MaxNLocator` is used. The
-            locator is used to determine the contour levels if they
-            are not given explicitly via the *V* argument.
+        x = np.arange(1, 10)
+        y = x.reshape(-1, 1)
+        h = x * y
 
-          *extend*: [ 'neither' | 'both' | 'min' | 'max' ]
-            Unless this is 'neither', contour levels are automatically
-            added to one or both ends of the range so that all data
-            are included. These added ranges are then mapped to the
-            special colormap values which default to the ends of the
-            colormap range, but can be set via
-            :meth:`matplotlib.colors.Colormap.set_under` and
-            :meth:`matplotlib.colors.Colormap.set_over` methods.
+        cs = plt.contourf(h, levels=[10, 30, 50],
+            colors=['#808080', '#A0A0A0', '#C0C0C0'], extend='both')
+        cs.cmap.set_over('red')
+        cs.cmap.set_under('blue')
+        cs.changed()
 
-          *xunits*, *yunits*: [ *None* | registered units ]
-            Override axis units by specifying an instance of a
-            :class:`matplotlib.units.ConversionInterface`.
+xunits, yunits : registered units, optional
+    Override axis units by specifying an instance of a
+    :class:`matplotlib.units.ConversionInterface`.
 
-          *antialiased*: [ *True* | *False* ]
-            enable antialiasing, overriding the defaults.  For
-            filled contours, the default is *True*.  For line contours,
-            it is taken from rcParams['lines.antialiased'].
+antialiased : bool, optional
+    Enable antialiasing, overriding the defaults.  For
+    filled contours, the default is *False*.  For line contours,
+    it is taken from :rc:`lines.antialiased`.
 
-        contour-only keyword arguments:
+nchunk : int >= 0, optional
+    If 0, no subdivision of the domain.  Specify a positive integer to
+    divide the domain into subdomains of *nchunk* by *nchunk* quads.
+    Chunking reduces the maximum length of polygons generated by the
+    contouring algorithm which reduces the rendering workload passed
+    on to the backend and also requires slightly less RAM.  It can
+    however introduce rendering artifacts at chunk boundaries depending
+    on the backend, the *antialiased* flag and value of *alpha*.
 
-          *linewidths*: [ *None* | number | tuple of numbers ]
-            If *linewidths* is *None*, the default width in
-            ``lines.linewidth`` in ``matplotlibrc`` is used.
+linewidths : float or array-like, default: :rc:`contour.linewidth`
+    *Only applies to* `.contour`.
 
-            If a number, all levels will be plotted with this linewidth.
+    The line width of the contour lines.
 
-            If a tuple, different levels will be plotted with different
-            linewidths in the order specified.
+    If a number, all levels will be plotted with this linewidth.
 
-          *linestyles*: [ *None* | 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
-            If *linestyles* is *None*, the default is 'solid' unless
-            the lines are monochrome.  In that case, negative
-            contours will take their linestyle from the ``matplotlibrc``
-            ``contour.negative_linestyle`` setting.
+    If a sequence, the levels in ascending order will be plotted with
+    the linewidths in the order specified.
 
-            *linestyles* can also be an iterable of the above strings
-            specifying a set of linestyles to be used. If this
-            iterable is shorter than the number of contour levels
-            it will be repeated as necessary.
+    If None, this falls back to :rc:`lines.linewidth`.
 
-        contourf-only keyword arguments:
+linestyles : {*None*, 'solid', 'dashed', 'dashdot', 'dotted'}, optional
+    *Only applies to* `.contour`.
 
-          *nchunk*: [ 0 | integer ]
-            If 0, no subdivision of the domain. Specify a positive integer to
-            divide the domain into subdomains of roughly *nchunk* by *nchunk*
-            points. This may never actually be advantageous, so this option may
-            be removed. Chunking introduces artifacts at the chunk boundaries
-            unless *antialiased* is *False*.
-
-          *hatches*:
-            A list of cross hatch patterns to use on the filled areas.
-            If None, no hatching will be added to the contour.
-            Hatching is supported in the PostScript, PDF, SVG and Agg
-            backends only.
+    If *linestyles* is *None*, the default is 'solid' unless the lines are
+    monochrome. In that case, negative contours will instead take their
+    linestyle from the *negative_linestyles* argument.
 
+    *linestyles* can also be an iterable of the above strings specifying a set
+    of linestyles to be used. If this iterable is shorter than the number of
+    contour levels it will be repeated as necessary.
 
-        Note: contourf fills intervals that are closed at the top; that
-        is, for boundaries *z1* and *z2*, the filled region is::
-
-            z1 < z <= z2
+negative_linestyles : {*None*, 'solid', 'dashed', 'dashdot', 'dotted'}, \
+                       optional
+    *Only applies to* `.contour`.
 
-        There is one exception: if the lowest boundary coincides with
-        the minimum value of the *z* array, then that minimum value
-        will be included in the lowest interval.
+    If *linestyles* is *None* and the lines are monochrome, this argument
+    specifies the line style for negative contours.
 
-        **Examples:**
+    If *negative_linestyles* is *None*, the default is taken from
+    :rc:`contour.negative_linestyle`.
 
-        .. plot:: mpl_examples/pylab_examples/contour_demo.py
+    *negative_linestyles* can also be an iterable of the above strings
+    specifying a set of linestyles to be used. If this iterable is shorter than
+    the number of contour levels it will be repeated as necessary.
 
-        .. plot:: mpl_examples/pylab_examples/contourf_demo.py
-        """
+hatches : list[str], optional
+    *Only applies to* `.contourf`.
+
+    A list of cross hatch patterns to use on the filled areas.
+    If None, no hatching will be added to the contour.
+
+algorithm : {'mpl2005', 'mpl2014', 'serial', 'threaded'}, optional
+    Which contouring algorithm to use to calculate the contour lines and
+    polygons. The algorithms are implemented in
+    `ContourPy <https://github.com/contourpy/contourpy>`_, consult the
+    `ContourPy documentation <https://contourpy.readthedocs.io>`_ for
+    further information.
+
+    The default is taken from :rc:`contour.algorithm`.
+
+clip_path : `~matplotlib.patches.Patch` or `.Path` or `.TransformedPath`
+    Set the clip path.  See `~matplotlib.artist.Artist.set_clip_path`.
+
+    .. versionadded:: 3.8
+
+data : indexable object, optional
+    DATA_PARAMETER_PLACEHOLDER
+
+rasterized : bool, optional
+    *Only applies to* `.contourf`.
+    Rasterize the contour plot when drawing vector graphics.  This can
+    speed up rendering and produce smaller files for large data sets.
+    See also :doc:`/gallery/misc/rasterization_demo`.
+
+
+Notes
+-----
+1. `.contourf` differs from the MATLAB version in that it does not draw
+   the polygon edges. To draw edges, add line contours with calls to
+   `.contour`.
+
+2. `.contourf` fills intervals that are closed at the top; that is, for
+   boundaries *z1* and *z2*, the filled region is::
+
+      z1 < Z <= z2
+
+   except for the lowest interval, which is closed on both sides (i.e.
+   it includes the lowest value).
+
+3. `.contour` and `.contourf` use a `marching squares
+   <https://en.wikipedia.org/wiki/Marching_squares>`_ algorithm to
+   compute contour locations.  More information can be found in
+   `ContourPy documentation <https://contourpy.readthedocs.io>`_.
+""" % _docstring.interpd.params)
diff --git a/lib/matplotlib/contour.pyi b/lib/matplotlib/contour.pyi
new file mode 100644
index 000000000000..2a89d6016170
--- /dev/null
+++ b/lib/matplotlib/contour.pyi
@@ -0,0 +1,140 @@
+import matplotlib.cm as cm
+from matplotlib.artist import Artist
+from matplotlib.axes import Axes
+from matplotlib.collections import Collection
+from matplotlib.colorizer import Colorizer, ColorizingArtist
+from matplotlib.colors import Colormap, Normalize
+from matplotlib.path import Path
+from matplotlib.patches import Patch
+from matplotlib.text import Text
+from matplotlib.transforms import Transform, TransformedPatchPath, TransformedPath
+from matplotlib.ticker import Locator, Formatter
+
+from numpy.typing import ArrayLike
+import numpy as np
+from collections.abc import Callable, Iterable, Sequence
+from typing import Literal
+from .typing import ColorType
+
+
+
+class ContourLabeler:
+    labelFmt: str | Formatter | Callable[[float], str] | dict[float, str]
+    labelManual: bool | Iterable[tuple[float, float]]
+    rightside_up: bool
+    labelLevelList: list[float]
+    labelIndiceList: list[int]
+    labelMappable: cm.ScalarMappable | ColorizingArtist
+    labelCValueList: list[ColorType]
+    labelXYs: list[tuple[float, float]]
+    def clabel(
+        self,
+        levels: ArrayLike | None = ...,
+        *,
+        fontsize: str | float | None = ...,
+        inline: bool = ...,
+        inline_spacing: float = ...,
+        fmt: str | Formatter | Callable[[float], str] | dict[float, str] | None = ...,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        use_clabeltext: bool = ...,
+        manual: bool | Iterable[tuple[float, float]] = ...,
+        rightside_up: bool = ...,
+        zorder: float | None = ...
+    ) -> list[Text]: ...
+    def print_label(self, linecontour: ArrayLike, labelwidth: float) -> bool: ...
+    def too_close(self, x: float, y: float, lw: float) -> bool: ...
+    def get_text(
+        self,
+        lev: float,
+        fmt: str | Formatter | Callable[[float], str] | dict[float, str],
+    ) -> str: ...
+    def locate_label(
+        self, linecontour: ArrayLike, labelwidth: float
+    ) -> tuple[float, float, float]: ...
+    def add_label(
+        self, x: float, y: float, rotation: float, lev: float, cvalue: ColorType
+    ) -> None: ...
+    def add_label_near(
+        self,
+        x: float,
+        y: float,
+        inline: bool = ...,
+        inline_spacing: int = ...,
+        transform: Transform | Literal[False] | None = ...,
+    ) -> None: ...
+    def pop_label(self, index: int = ...) -> None: ...
+    def labels(self, inline: bool, inline_spacing: int) -> None: ...
+    def remove(self) -> None: ...
+
+class ContourSet(ContourLabeler, Collection):
+    axes: Axes
+    levels: Iterable[float]
+    filled: bool
+    linewidths: float | ArrayLike | None
+    hatches: Iterable[str | None]
+    origin: Literal["upper", "lower", "image"] | None
+    extent: tuple[float, float, float, float] | None
+    colors: ColorType | Sequence[ColorType]
+    extend: Literal["neither", "both", "min", "max"]
+    nchunk: int
+    locator: Locator | None
+    logscale: bool
+    negative_linestyles: None | Literal[
+        "solid", "dashed", "dashdot", "dotted"
+    ] | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]
+    clip_path: Patch | Path | TransformedPath | TransformedPatchPath | None
+    labelTexts: list[Text]
+    labelCValues: list[ColorType]
+
+    @property
+    def allkinds(self) -> list[list[np.ndarray | None]]: ...
+    @property
+    def allsegs(self) -> list[list[np.ndarray]]: ...
+    @property
+    def alpha(self) -> float | None: ...
+    @property
+    def linestyles(self) -> (
+        None |
+        Literal["solid", "dashed", "dashdot", "dotted"] |
+        Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]
+    ): ...
+
+    def __init__(
+        self,
+        ax: Axes,
+        *args,
+        levels: Iterable[float] | None = ...,
+        filled: bool = ...,
+        linewidths: float | ArrayLike | None = ...,
+        linestyles: Literal["solid", "dashed", "dashdot", "dotted"]
+        | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]
+        | None = ...,
+        hatches: Iterable[str | None] = ...,
+        alpha: float | None = ...,
+        origin: Literal["upper", "lower", "image"] | None = ...,
+        extent: tuple[float, float, float, float] | None = ...,
+        cmap: str | Colormap | None = ...,
+        colors: ColorType | Sequence[ColorType] | None = ...,
+        norm: str | Normalize | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        colorizer: Colorizer | None = ...,
+        extend: Literal["neither", "both", "min", "max"] = ...,
+        antialiased: bool | None = ...,
+        nchunk: int = ...,
+        locator: Locator | None = ...,
+        transform: Transform | None = ...,
+        negative_linestyles: Literal["solid", "dashed", "dashdot", "dotted"]
+        | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]
+        | None = ...,
+        clip_path: Patch | Path | TransformedPath | TransformedPatchPath | None = ...,
+        **kwargs
+    ) -> None: ...
+    def legend_elements(
+        self, variable_name: str = ..., str_format: Callable[[float], str] = ...
+    ) -> tuple[list[Artist], list[str]]: ...
+    def find_nearest_contour(
+        self, x: float, y: float, indices: Iterable[int] | None = ..., pixel: bool = ...
+    ) -> tuple[int, int, int, float, float, float]: ...
+
+class QuadContourSet(ContourSet): ...
diff --git a/lib/matplotlib/dates.py b/lib/matplotlib/dates.py
old mode 100755
new mode 100644
index e3f480a0c139..511e1c6df6cc
--- a/lib/matplotlib/dates.py
+++ b/lib/matplotlib/dates.py
@@ -1,19 +1,77 @@
-#!/usr/bin/env python
 """
 Matplotlib provides sophisticated date plotting capabilities, standing on the
-shoulders of python :mod:`datetime`, the add-on modules :mod:`pytz` and
-:mod:`dateutil`.  :class:`datetime` objects are converted to floating point
-numbers which represent time in days since 0001-01-01 UTC, plus 1.  For
-example, 0001-01-01, 06:00 is 1.25, not 0.25.  The helper functions
-:func:`date2num`, :func:`num2date` and :func:`drange` are used to facilitate
-easy conversion to and from :mod:`datetime` and numeric ranges.
+shoulders of python :mod:`datetime` and the add-on module dateutil_.
+
+By default, Matplotlib uses the units machinery described in
+`~matplotlib.units` to convert `datetime.datetime`, and `numpy.datetime64`
+objects when plotted on an x- or y-axis. The user does not
+need to do anything for dates to be formatted, but dates often have strict
+formatting needs, so this module provides many tick locators and formatters.
+A basic example using `numpy.datetime64` is::
+
+    import numpy as np
+
+    times = np.arange(np.datetime64('2001-01-02'),
+                      np.datetime64('2002-02-03'), np.timedelta64(75, 'm'))
+    y = np.random.randn(len(times))
+
+    fig, ax = plt.subplots()
+    ax.plot(times, y)
+
+.. seealso::
+
+    - :doc:`/gallery/text_labels_and_annotations/date`
+    - :doc:`/gallery/ticks/date_concise_formatter`
+    - :doc:`/gallery/ticks/date_demo_convert`
+
+.. _date-format:
+
+Matplotlib date format
+----------------------
+
+Matplotlib represents dates using floating point numbers specifying the number
+of days since a default epoch of 1970-01-01 UTC; for example,
+1970-01-01, 06:00 is the floating point number 0.25. The formatters and
+locators require the use of `datetime.datetime` objects, so only dates between
+year 0001 and 9999 can be represented.  Microsecond precision
+is achievable for (approximately) 70 years on either side of the epoch, and
+20 microseconds for the rest of the allowable range of dates (year 0001 to
+9999). The epoch can be changed at import time via `.dates.set_epoch` or
+:rc:`date.epoch` to other dates if necessary; see
+:doc:`/gallery/ticks/date_precision_and_epochs` for a discussion.
+
+.. note::
+
+   Before Matplotlib 3.3, the epoch was 0000-12-31 which lost modern
+   microsecond precision and also made the default axis limit of 0 an invalid
+   datetime.  In 3.3 the epoch was changed as above.  To convert old
+   ordinal floats to the new epoch, users can do::
+
+     new_ordinal = old_ordinal + mdates.date2num(np.datetime64('0000-12-31'))
+
+
+There are a number of helper functions to convert between :mod:`datetime`
+objects and Matplotlib dates:
+
+.. currentmodule:: matplotlib.dates
+
+.. autosummary::
+   :nosignatures:
+
+   datestr2num
+   date2num
+   num2date
+   num2timedelta
+   drange
+   set_epoch
+   get_epoch
 
 .. note::
 
-   Like Python's datetime, mpl uses the Gregorian calendar for all
-   conversions between dates and floating point numbers. This practice
+   Like Python's `datetime.datetime`, Matplotlib uses the Gregorian calendar
+   for all conversions between dates and floating point numbers. This practice
    is not universal, and calendar differences can cause confusing
-   differences between what Python and mpl give as the number of days
+   differences between what Python and Matplotlib give as the number of days
    since 0001-01-01 and what other software and databases yield.  For
    example, the US Naval Observatory uses a calendar that switches
    from Julian to Gregorian in October, 1582.  Hence, using their
@@ -21,47 +79,45 @@
    732403, whereas using the Gregorian calendar via the datetime
    module we find::
 
-     In [31]:date(2006,4,1).toordinal() - date(1,1,1).toordinal()
-     Out[31]:732401
+     In [1]: date(2006, 4, 1).toordinal() - date(1, 1, 1).toordinal()
+     Out[1]: 732401
 
+All the Matplotlib date converters, locators and formatters are timezone aware.
+If no explicit timezone is provided, :rc:`timezone` is assumed, provided as a
+string.  If you want to use a different timezone, pass the *tz* keyword
+argument of `num2date` to any date tick locators or formatters you create. This
+can be either a `datetime.tzinfo` instance or a string with the timezone name
+that can be parsed by `~dateutil.tz.gettz`.
 
 A wide range of specific and general purpose date tick locators and
 formatters are provided in this module.  See
 :mod:`matplotlib.ticker` for general information on tick locators
 and formatters.  These are described below.
 
-All the matplotlib date converters, tickers and formatters are
-timezone aware, and the default timezone is given by the timezone
-parameter in your :file:`matplotlibrc` file.  If you leave out a
-:class:`tz` timezone instance, the default from your rc file will be
-assumed.  If you want to use a custom time zone, pass a
-:class:`pytz.timezone` instance with the tz keyword argument to
-:func:`num2date`, :func:`plot_date`, and any custom date tickers or
-locators you create.  See `pytz <http://pytz.sourceforge.net>`_ for
-information on :mod:`pytz` and timezone handling.
+The dateutil_ module provides additional code to handle date ticking, making it
+easy to place ticks on any kinds of dates.  See examples below.
+
+.. _dateutil: https://dateutil.readthedocs.io
 
-The `dateutil module <http://labix.org/python-dateutil>`_ provides
-additional code to handle date ticking, making it easy to place ticks
-on any kinds of dates.  See examples below.
+.. _date-locators:
 
-Date tickers
-------------
+Date tick locators
+------------------
 
-Most of the date tickers can locate single or multiple values.  For
-example::
+Most of the date tick locators can locate single or multiple ticks. For example::
 
     # import constants for the days of the week
     from matplotlib.dates import MO, TU, WE, TH, FR, SA, SU
 
-    # tick on mondays every week
+    # tick on Mondays every week
     loc = WeekdayLocator(byweekday=MO, tz=tz)
 
-    # tick on mondays and saturdays
+    # tick on Mondays and Saturdays
     loc = WeekdayLocator(byweekday=(MO, SA))
 
 In addition, most of the constructors take an interval argument::
 
-    # tick on mondays every second week
+    # tick on Mondays every second week
     loc = WeekdayLocator(byweekday=MO, interval=2)
 
 The rrule locator allows completely general date ticking::
@@ -70,220 +126,276 @@
     rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
     loc = RRuleLocator(rule)
 
-Here are all the date tickers:
+The available date tick locators are:
+
+* `MicrosecondLocator`: Locate microseconds.
+
+* `SecondLocator`: Locate seconds.
+
+* `MinuteLocator`: Locate minutes.
 
-    * :class:`MinuteLocator`: locate minutes
+* `HourLocator`: Locate hours.
 
-    * :class:`HourLocator`: locate hours
+* `DayLocator`: Locate specified days of the month.
 
-    * :class:`DayLocator`: locate specifed days of the month
+* `WeekdayLocator`: Locate days of the week, e.g., MO, TU.
 
-    * :class:`WeekdayLocator`: Locate days of the week, e.g., MO, TU
+* `MonthLocator`: Locate months, e.g., 7 for July.
 
-    * :class:`MonthLocator`: locate months, e.g., 7 for july
+* `YearLocator`: Locate years that are multiples of base.
 
-    * :class:`YearLocator`: locate years that are multiples of base
+* `RRuleLocator`: Locate using a `rrulewrapper`.
+  `rrulewrapper` is a simple wrapper around dateutil_'s `dateutil.rrule`
+  which allow almost arbitrary date tick specifications.
+  See :doc:`rrule example </gallery/ticks/date_demo_rrule>`.
 
-    * :class:`RRuleLocator`: locate using a
-      :class:`matplotlib.dates.rrulewrapper`.  The
-      :class:`rrulewrapper` is a simple wrapper around a
-      :class:`dateutil.rrule` (`dateutil
-      <http://labix.org/python-dateutil>`_) which allow almost
-      arbitrary date tick specifications.  See `rrule example
-      <../examples/pylab_examples/date_demo_rrule.html>`_.
+* `AutoDateLocator`: On autoscale, this class picks the best `DateLocator`
+  (e.g., `RRuleLocator`) to set the view limits and the tick locations.  If
+  called with ``interval_multiples=True`` it will make ticks line up with
+  sensible multiples of the tick intervals.  For example, if the interval is
+  4 hours, it will pick hours 0, 4, 8, etc. as ticks.  This behaviour is not
+  guaranteed by default.
 
-    * :class:`AutoDateLocator`: On autoscale, this class picks the best
-      :class:`MultipleDateLocator` to set the view limits and the tick
-      locations.
+.. _date-formatters:
 
 Date formatters
 ---------------
 
-Here all all the date formatters:
+The available date formatters are:
 
-    * :class:`AutoDateFormatter`: attempts to figure out the best format
-      to use.  This is most useful when used with the :class:`AutoDateLocator`.
+* `AutoDateFormatter`: attempts to figure out the best format to use.  This is
+  most useful when used with the `AutoDateLocator`.
 
-    * :class:`DateFormatter`: use :func:`strftime` format strings
+* `ConciseDateFormatter`: also attempts to figure out the best format to use,
+  and to make the format as compact as possible while still having complete
+  date information.  This is most useful when used with the `AutoDateLocator`.
 
-    * :class:`IndexDateFormatter`: date plots with implicit *x*
-      indexing.
+* `DateFormatter`: use `~datetime.datetime.strftime` format strings.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import xrange, zip
-
-import re
-import time
-import math
 import datetime
-
-import warnings
-
+import functools
+import logging
+import re
 
 from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
                             MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
                             SECONDLY)
 from dateutil.relativedelta import relativedelta
 import dateutil.parser
+import dateutil.tz
 import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _api, cbook, ticker, units
 
-import matplotlib
-import matplotlib.units as units
-import matplotlib.cbook as cbook
-import matplotlib.ticker as ticker
-
-
-__all__ = ('date2num', 'num2date', 'drange', 'epoch2num',
-           'num2epoch', 'mx2num', 'DateFormatter',
-           'IndexDateFormatter', 'AutoDateFormatter', 'DateLocator',
-           'RRuleLocator', 'AutoDateLocator', 'YearLocator',
-           'MonthLocator', 'WeekdayLocator',
+__all__ = ('datestr2num', 'date2num', 'num2date', 'num2timedelta', 'drange',
+           'set_epoch', 'get_epoch', 'DateFormatter', 'ConciseDateFormatter',
+           'AutoDateFormatter', 'DateLocator', 'RRuleLocator',
+           'AutoDateLocator', 'YearLocator', 'MonthLocator', 'WeekdayLocator',
            'DayLocator', 'HourLocator', 'MinuteLocator',
            'SecondLocator', 'MicrosecondLocator',
            'rrule', 'MO', 'TU', 'WE', 'TH', 'FR', 'SA', 'SU',
            'YEARLY', 'MONTHLY', 'WEEKLY', 'DAILY',
            'HOURLY', 'MINUTELY', 'SECONDLY', 'MICROSECONDLY', 'relativedelta',
-           'seconds', 'minutes', 'hours', 'weeks')
-
+           'DateConverter', 'ConciseDateConverter', 'rrulewrapper')
 
-# Make a simple UTC instance so we don't always have to import
-# pytz.  From the python datetime library docs:
 
-class _UTC(datetime.tzinfo):
-    """UTC"""
+_log = logging.getLogger(__name__)
+UTC = datetime.timezone.utc
 
-    def utcoffset(self, dt):
-        return datetime.timedelta(0)
 
-    def tzname(self, dt):
-        return "UTC"
+def _get_tzinfo(tz=None):
+    """
+    Generate `~datetime.tzinfo` from a string or return `~datetime.tzinfo`.
+    If None, retrieve the preferred timezone from the rcParams dictionary.
+    """
+    tz = mpl._val_or_rc(tz, 'timezone')
+    if tz == 'UTC':
+        return UTC
+    if isinstance(tz, str):
+        tzinfo = dateutil.tz.gettz(tz)
+        if tzinfo is None:
+            raise ValueError(f"{tz} is not a valid timezone as parsed by"
+                             " dateutil.tz.gettz.")
+        return tzinfo
+    if isinstance(tz, datetime.tzinfo):
+        return tz
+    raise TypeError(f"tz must be string or tzinfo subclass, not {tz!r}.")
+
+
+# Time-related constants.
+EPOCH_OFFSET = float(datetime.datetime(1970, 1, 1).toordinal())
+# EPOCH_OFFSET is not used by matplotlib
+MICROSECONDLY = SECONDLY + 1
+HOURS_PER_DAY = 24.
+MIN_PER_HOUR = 60.
+SEC_PER_MIN = 60.
+MONTHS_PER_YEAR = 12.
 
-    def dst(self, dt):
-        return datetime.timedelta(0)
+DAYS_PER_WEEK = 7.
+DAYS_PER_MONTH = 30.
+DAYS_PER_YEAR = 365.0
 
-UTC = _UTC()
+MINUTES_PER_DAY = MIN_PER_HOUR * HOURS_PER_DAY
 
+SEC_PER_HOUR = SEC_PER_MIN * MIN_PER_HOUR
+SEC_PER_DAY = SEC_PER_HOUR * HOURS_PER_DAY
+SEC_PER_WEEK = SEC_PER_DAY * DAYS_PER_WEEK
 
-def _get_rc_timezone():
-    s = matplotlib.rcParams['timezone']
-    if s == 'UTC':
-        return UTC
-    import pytz
-    return pytz.timezone(s)
+MUSECONDS_PER_DAY = 1e6 * SEC_PER_DAY
 
-MICROSECONDLY = SECONDLY + 1
-HOURS_PER_DAY = 24.
-MINUTES_PER_DAY = 60. * HOURS_PER_DAY
-SECONDS_PER_DAY = 60. * MINUTES_PER_DAY
-MUSECONDS_PER_DAY = 1e6 * SECONDS_PER_DAY
-SEC_PER_MIN = 60
-SEC_PER_HOUR = 3600
-SEC_PER_DAY = SEC_PER_HOUR * 24
-SEC_PER_WEEK = SEC_PER_DAY * 7
 MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY = (
     MO, TU, WE, TH, FR, SA, SU)
 WEEKDAYS = (MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY)
 
+# default epoch: passed to np.datetime64...
+_epoch = None
+
 
-def _to_ordinalf(dt):
+def _reset_epoch_test_example():
     """
-    Convert :mod:`datetime` to the Gregorian date as UTC float days,
-    preserving hours, minutes, seconds and microseconds.  Return value
-    is a :func:`float`.
+    Reset the Matplotlib date epoch so it can be set again.
+
+    Only for use in tests and examples.
     """
+    global _epoch
+    _epoch = None
 
-    if hasattr(dt, 'tzinfo') and dt.tzinfo is not None:
-        delta = dt.tzinfo.utcoffset(dt)
-        if delta is not None:
-            dt -= delta
 
-    base = float(dt.toordinal())
-    if hasattr(dt, 'hour'):
-        base += (dt.hour / HOURS_PER_DAY + dt.minute / MINUTES_PER_DAY +
-                 dt.second / SECONDS_PER_DAY +
-                 dt.microsecond / MUSECONDS_PER_DAY
-                 )
-    return base
+def set_epoch(epoch):
+    """
+    Set the epoch (origin for dates) for datetime calculations.
 
+    The default epoch is :rc:`date.epoch`.
 
-# a version of _to_ordinalf that can operate on numpy arrays
-_to_ordinalf_np_vectorized = np.vectorize(_to_ordinalf)
+    If microsecond accuracy is desired, the date being plotted needs to be
+    within approximately 70 years of the epoch. Matplotlib internally
+    represents dates as days since the epoch, so floating point dynamic
+    range needs to be within a factor of 2^52.
 
+    `~.dates.set_epoch` must be called before any dates are converted
+    (i.e. near the import section) or a RuntimeError will be raised.
+
+    See also :doc:`/gallery/ticks/date_precision_and_epochs`.
+
+    Parameters
+    ----------
+    epoch : str
+        valid UTC date parsable by `numpy.datetime64` (do not include
+        timezone).
 
-def _from_ordinalf(x, tz=None):
     """
-    Convert Gregorian float of the date, preserving hours, minutes,
-    seconds and microseconds.  Return value is a :class:`datetime`.
+    global _epoch
+    if _epoch is not None:
+        raise RuntimeError('set_epoch must be called before dates plotted.')
+    _epoch = epoch
+
+
+def get_epoch():
     """
-    if tz is None:
-        tz = _get_rc_timezone()
-    ix = int(x)
-    dt = datetime.datetime.fromordinal(ix)
-    remainder = float(x) - ix
-    hour, remainder = divmod(24 * remainder, 1)
-    minute, remainder = divmod(60 * remainder, 1)
-    second, remainder = divmod(60 * remainder, 1)
-    microsecond = int(1e6 * remainder)
-    if microsecond < 10:
-        microsecond = 0  # compensate for rounding errors
-    dt = datetime.datetime(
-        dt.year, dt.month, dt.day, int(hour), int(minute), int(second),
-        microsecond, tzinfo=UTC).astimezone(tz)
-
-    if microsecond > 999990:  # compensate for rounding errors
-        dt += datetime.timedelta(microseconds=1e6 - microsecond)
+    Get the epoch used by `.dates`.
 
-    return dt
+    Returns
+    -------
+    epoch : str
+        String for the epoch (parsable by `numpy.datetime64`).
+    """
+    global _epoch
 
+    _epoch = mpl._val_or_rc(_epoch, 'date.epoch')
+    return _epoch
 
-# a version of _from_ordinalf that can operate on numpy arrays
-_from_ordinalf_np_vectorized = np.vectorize(_from_ordinalf)
+
+def _dt64_to_ordinalf(d):
+    """
+    Convert `numpy.datetime64` or an `numpy.ndarray` of those types to
+    Gregorian date as UTC float relative to the epoch (see `.get_epoch`).
+    Roundoff is float64 precision.  Practically: microseconds for dates
+    between 290301 BC, 294241 AD, milliseconds for larger dates
+    (see `numpy.datetime64`).
+    """
+
+    # the "extra" ensures that we at least allow the dynamic range out to
+    # seconds.  That should get out to +/-2e11 years.
+    dseconds = d.astype('datetime64[s]')
+    extra = (d - dseconds).astype('timedelta64[ns]')
+    t0 = np.datetime64(get_epoch(), 's')
+    dt = (dseconds - t0).astype(np.float64)
+    dt += extra.astype(np.float64) / 1.0e9
+    dt = dt / SEC_PER_DAY
+
+    NaT_int = np.datetime64('NaT').astype(np.int64)
+    d_int = d.astype(np.int64)
+    dt[d_int == NaT_int] = np.nan
+    return dt
 
 
-class strpdate2num(object):
+def _from_ordinalf(x, tz=None):
     """
-    Use this class to parse date strings to matplotlib datenums when
-    you know the date format string of the date you are parsing.  See
-    :file:`examples/load_demo.py`.
+    Convert Gregorian float of the date, preserving hours, minutes,
+    seconds and microseconds.  Return value is a `.datetime`.
+
+    The input date *x* is a float in ordinal days at UTC, and the output will
+    be the specified `.datetime` object corresponding to that time in
+    timezone *tz*, or if *tz* is ``None``, in the timezone specified in
+    :rc:`timezone`.
     """
-    def __init__(self, fmt):
-        """ fmt: any valid strptime format is supported """
-        self.fmt = fmt
 
-    def __call__(self, s):
-        """s : string to be converted
-           return value: a date2num float
-        """
-        return date2num(datetime.datetime(*time.strptime(s, self.fmt)[:6]))
+    tz = _get_tzinfo(tz)
+
+    dt = (np.datetime64(get_epoch()) +
+          np.timedelta64(int(np.round(x * MUSECONDS_PER_DAY)), 'us'))
+    if dt < np.datetime64('0001-01-01') or dt >= np.datetime64('10000-01-01'):
+        raise ValueError(f'Date ordinal {x} converts to {dt} (using '
+                         f'epoch {get_epoch()}), but Matplotlib dates must be '
+                          'between year 0001 and 9999.')
+    # convert from datetime64 to datetime:
+    dt = dt.tolist()
+
+    # datetime64 is always UTC:
+    dt = dt.replace(tzinfo=dateutil.tz.gettz('UTC'))
+    # but maybe we are working in a different timezone so move.
+    dt = dt.astimezone(tz)
+    # fix round off errors
+    if np.abs(x) > 70 * 365:
+        # if x is big, round off to nearest twenty microseconds.
+        # This avoids floating point roundoff error
+        ms = round(dt.microsecond / 20) * 20
+        if ms == 1000000:
+            dt = dt.replace(microsecond=0) + datetime.timedelta(seconds=1)
+        else:
+            dt = dt.replace(microsecond=ms)
 
+    return dt
 
-# a version of dateutil.parser.parse that can operate on nump0y arrays
+
+# a version of _from_ordinalf that can operate on numpy arrays
+_from_ordinalf_np_vectorized = np.vectorize(_from_ordinalf, otypes="O")
+# a version of dateutil.parser.parse that can operate on numpy arrays
 _dateutil_parser_parse_np_vectorized = np.vectorize(dateutil.parser.parse)
 
 
 def datestr2num(d, default=None):
     """
-    Convert a date string to a datenum using
-    :func:`dateutil.parser.parse`.
+    Convert a date string to a datenum using `dateutil.parser.parse`.
 
     Parameters
     ----------
-    d : string or sequence of strings
+    d : str or sequence of str
         The dates to convert.
 
-    default : datetime instance
-        The default date to use when fields are missing in `d`.
+    default : datetime.datetime, optional
+        The default date to use when fields are missing in *d*.
     """
-    if cbook.is_string_like(d):
+    if isinstance(d, str):
         dt = dateutil.parser.parse(d, default=default)
         return date2num(dt)
     else:
         if default is not None:
-            d = [dateutil.parser.parse(s, default=default) for s in d]
+            d = [date2num(dateutil.parser.parse(s, default=default))
+                 for s in d]
+            return np.asarray(d)
         d = np.asarray(d)
         if not d.size:
             return d
@@ -292,74 +404,132 @@ def datestr2num(d, default=None):
 
 def date2num(d):
     """
-    *d* is either a :class:`datetime` instance or a sequence of datetimes.
-
-    Return value is a floating point number (or sequence of floats)
-    which gives the number of days (fraction part represents hours,
-    minutes, seconds) since 0001-01-01 00:00:00 UTC, *plus* *one*.
-    The addition of one here is a historical artifact.  Also, note
-    that the Gregorian calendar is assumed; this is not universal
-    practice.  For details, see the module docstring.
+    Convert datetime objects to Matplotlib dates.
+
+    Parameters
+    ----------
+    d : `datetime.datetime` or `numpy.datetime64` or sequences of these
+
+    Returns
+    -------
+    float or sequence of floats
+        Number of days since the epoch.  See `.get_epoch` for the
+        epoch, which can be changed by :rc:`date.epoch` or `.set_epoch`.  If
+        the epoch is "1970-01-01T00:00:00" (default) then noon Jan 1 1970
+        ("1970-01-01T12:00:00") returns 0.5.
+
+    Notes
+    -----
+    The Gregorian calendar is assumed; this is not universal practice.
+    For details see the module docstring.
     """
-    if not cbook.iterable(d):
-        return _to_ordinalf(d)
-    else:
-        d = np.asarray(d)
-        if not d.size:
-            return d
-        return _to_ordinalf_np_vectorized(d)
+    # Unpack in case of e.g. Pandas or xarray object
+    d = cbook._unpack_to_numpy(d)
 
+    # make an iterable, but save state to unpack later:
+    iterable = np.iterable(d)
+    if not iterable:
+        d = [d]
 
-def julian2num(j):
-    'Convert a Julian date (or sequence) to a matplotlib date (or sequence).'
-    if cbook.iterable(j):
-        j = np.asarray(j)
-    return j - 1721424.5
+    masked = np.ma.is_masked(d)
+    mask = np.ma.getmask(d)
+    d = np.asarray(d)
 
+    # convert to datetime64 arrays, if not already:
+    if not np.issubdtype(d.dtype, np.datetime64):
+        # datetime arrays
+        if not d.size:
+            # deals with an empty array...
+            return d
+        tzi = getattr(d[0], 'tzinfo', None)
+        if tzi is not None:
+            # make datetime naive:
+            d = [dt.astimezone(UTC).replace(tzinfo=None) for dt in d]
+            d = np.asarray(d)
+        d = d.astype('datetime64[us]')
 
-def num2julian(n):
-    'Convert a matplotlib date (or sequence) to a Julian date (or sequence).'
-    if cbook.iterable(n):
-        n = np.asarray(n)
-    return n + 1721424.5
+    d = np.ma.masked_array(d, mask=mask) if masked else d
+    d = _dt64_to_ordinalf(d)
+
+    return d if iterable else d[0]
 
 
 def num2date(x, tz=None):
     """
-    *x* is a float value which gives the number of days
-    (fraction part represents hours, minutes, seconds) since
-    0001-01-01 00:00:00 UTC *plus* *one*.
-    The addition of one here is a historical artifact.  Also, note
-    that the Gregorian calendar is assumed; this is not universal
-    practice.  For details, see the module docstring.
+    Convert Matplotlib dates to `~datetime.datetime` objects.
+
+    Parameters
+    ----------
+    x : float or sequence of floats
+        Number of days (fraction part represents hours, minutes, seconds)
+        since the epoch.  See `.get_epoch` for the
+        epoch, which can be changed by :rc:`date.epoch` or `.set_epoch`.
+    tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+        Timezone of *x*. If a string, *tz* is passed to `dateutil.tz`.
+
+    Returns
+    -------
+    `~datetime.datetime` or sequence of `~datetime.datetime`
+        Dates are returned in timezone *tz*.
+
+        If *x* is a sequence, a sequence of `~datetime.datetime` objects will
+        be returned.
+
+    Notes
+    -----
+    The Gregorian calendar is assumed; this is not universal practice.
+    For details, see the module docstring.
+    """
+    tz = _get_tzinfo(tz)
+    return _from_ordinalf_np_vectorized(x, tz).tolist()
+
+
+_ordinalf_to_timedelta_np_vectorized = np.vectorize(
+    lambda x: datetime.timedelta(days=x), otypes="O")
 
-    Return value is a :class:`datetime` instance in timezone *tz* (default to
-    rcparams TZ value).
 
-    If *x* is a sequence, a sequence of :class:`datetime` objects will
+def num2timedelta(x):
+    """
+    Convert number of days to a `~datetime.timedelta` object.
+
+    If *x* is a sequence, a sequence of `~datetime.timedelta` objects will
     be returned.
+
+    Parameters
+    ----------
+    x : float, sequence of floats
+        Number of days. The fraction part represents hours, minutes, seconds.
+
+    Returns
+    -------
+    `datetime.timedelta` or list[`datetime.timedelta`]
     """
-    if tz is None:
-        tz = _get_rc_timezone()
-    if not cbook.iterable(x):
-        return _from_ordinalf(x, tz)
-    else:
-        x = np.asarray(x)
-        if not x.size:
-            return x
-        return _from_ordinalf_np_vectorized(x, tz).tolist()
+    return _ordinalf_to_timedelta_np_vectorized(x).tolist()
 
 
 def drange(dstart, dend, delta):
     """
-    Return a date range as float Gregorian ordinals.  *dstart* and
-    *dend* are :class:`datetime` instances.  *delta* is a
-    :class:`datetime.timedelta` instance.
+    Return a sequence of equally spaced Matplotlib dates.
+
+    The dates start at *dstart* and reach up to, but not including *dend*.
+    They are spaced by *delta*.
+
+    Parameters
+    ----------
+    dstart, dend : `~datetime.datetime`
+        The date limits.
+    delta : `datetime.timedelta`
+        Spacing of the dates.
+
+    Returns
+    -------
+    `numpy.array`
+        A list floats representing Matplotlib dates.
+
     """
-    step = (delta.days + delta.seconds / SECONDS_PER_DAY +
-            delta.microseconds / MUSECONDS_PER_DAY)
-    f1 = _to_ordinalf(dstart)
-    f2 = _to_ordinalf(dend)
+    f1 = date2num(dstart)
+    f2 = date2num(dend)
+    step = delta.total_seconds() / SEC_PER_DAY
 
     # calculate the difference between dend and dstart in times of delta
     num = int(np.ceil((f2 - f1) / step))
@@ -369,178 +539,333 @@ def drange(dstart, dend, delta):
 
     # ensure, that an half open interval will be generated [dstart, dend)
     if dinterval_end >= dend:
-        # if the endpoint is greated than dend, just subtract one delta
+        # if the endpoint is greater than or equal to dend,
+        # just subtract one delta
         dinterval_end -= delta
         num -= 1
 
-    f2 = _to_ordinalf(dinterval_end)  # new float-endpoint
+    f2 = date2num(dinterval_end)  # new float-endpoint
     return np.linspace(f1, f2, num + 1)
 
-### date tickers and formatters ###
+
+def _wrap_in_tex(text):
+    p = r'([a-zA-Z]+)'
+    ret_text = re.sub(p, r'}$\1$\\mathdefault{', text)
+
+    # Braces ensure symbols are not spaced like binary operators.
+    ret_text = ret_text.replace('-', '{-}').replace(':', '{:}')
+    # To not concatenate space between numbers.
+    ret_text = ret_text.replace(' ', r'\;')
+    ret_text = '$\\mathdefault{' + ret_text + '}$'
+    ret_text = ret_text.replace('$\\mathdefault{}$', '')
+    return ret_text
+
+
+## date tick locators and formatters ###
 
 
 class DateFormatter(ticker.Formatter):
     """
-    Tick location is seconds since the epoch.  Use a :func:`strftime`
-    format string.
-
-    Python only supports :mod:`datetime` :func:`strftime` formatting
-    for years greater than 1900.  Thanks to Andrew Dalke, Dalke
-    Scientific Software who contributed the :func:`strftime` code
-    below to include dates earlier than this year.
+    Format a tick (in days since the epoch) with a
+    `~datetime.datetime.strftime` format string.
     """
 
-    illegal_s = re.compile(r"((^|[^%])(%%)*%s)")
-
-    def __init__(self, fmt, tz=None):
+    def __init__(self, fmt, tz=None, *, usetex=None):
         """
-        *fmt* is an :func:`strftime` format string; *tz* is the
-         :class:`tzinfo` instance.
+        Parameters
+        ----------
+        fmt : str
+            `~datetime.datetime.strftime` format string
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
+        usetex : bool, default: :rc:`text.usetex`
+            To enable/disable the use of TeX's math mode for rendering the
+            results of the formatter.
         """
-        if tz is None:
-            tz = _get_rc_timezone()
+        self.tz = _get_tzinfo(tz)
         self.fmt = fmt
-        self.tz = tz
+        self._usetex = mpl._val_or_rc(usetex, 'text.usetex')
 
     def __call__(self, x, pos=0):
-        if x == 0:
-            raise ValueError('DateFormatter found a value of x=0, which is '
-                             'an illegal date.  This usually occurs because '
-                             'you have not informed the axis that it is '
-                             'plotting dates, e.g., with ax.xaxis_date()')
-        dt = num2date(x, self.tz)
-        return self.strftime(dt, self.fmt)
+        result = num2date(x, self.tz).strftime(self.fmt)
+        return _wrap_in_tex(result) if self._usetex else result
 
     def set_tzinfo(self, tz):
-        self.tz = tz
-
-    def _findall(self, text, substr):
-        # Also finds overlaps
-        sites = []
-        i = 0
-        while 1:
-            j = text.find(substr, i)
-            if j == -1:
-                break
-            sites.append(j)
-            i = j + 1
-        return sites
-
-    # Dalke: I hope I did this math right.  Every 28 years the
-    # calendar repeats, except through century leap years excepting
-    # the 400 year leap years.  But only if you're using the Gregorian
-    # calendar.
-
-    def strftime(self, dt, fmt):
-        fmt = self.illegal_s.sub(r"\1", fmt)
-        fmt = fmt.replace("%s", "s")
-        if dt.year > 1900:
-            return cbook.unicode_safe(dt.strftime(fmt))
-
-        year = dt.year
-        # For every non-leap year century, advance by
-        # 6 years to get into the 28-year repeat cycle
-        delta = 2000 - year
-        off = 6 * (delta // 100 + delta // 400)
-        year = year + off
-
-        # Move to around the year 2000
-        year = year + ((2000 - year) // 28) * 28
-        timetuple = dt.timetuple()
-        s1 = time.strftime(fmt, (year,) + timetuple[1:])
-        sites1 = self._findall(s1, str(year))
-
-        s2 = time.strftime(fmt, (year + 28,) + timetuple[1:])
-        sites2 = self._findall(s2, str(year + 28))
-
-        sites = []
-        for site in sites1:
-            if site in sites2:
-                sites.append(site)
-
-        s = s1
-        syear = "%4d" % (dt.year,)
-        for site in sites:
-            s = s[:site] + syear + s[site + 4:]
-
-        return cbook.unicode_safe(s)
-
-
-class IndexDateFormatter(ticker.Formatter):
+        self.tz = _get_tzinfo(tz)
+
+
+class ConciseDateFormatter(ticker.Formatter):
     """
-    Use with :class:`~matplotlib.ticker.IndexLocator` to cycle format
-    strings by index.
+    A `.Formatter` which attempts to figure out the best format to use for the
+    date, and to make it as compact as possible, but still be complete. This is
+    most useful when used with the `AutoDateLocator`::
+
+    >>> locator = AutoDateLocator()
+    >>> formatter = ConciseDateFormatter(locator)
+
+    Parameters
+    ----------
+    locator : `.ticker.Locator`
+        Locator that this axis is using.
+
+    tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+        Ticks timezone, passed to `.dates.num2date`.
+
+    formats : list of 6 strings, optional
+        Format strings for 6 levels of tick labelling: mostly years,
+        months, days, hours, minutes, and seconds.  Strings use
+        the same format codes as `~datetime.datetime.strftime`.  Default is
+        ``['%Y', '%b', '%d', '%H:%M', '%H:%M', '%S.%f']``
+
+    zero_formats : list of 6 strings, optional
+        Format strings for tick labels that are "zeros" for a given tick
+        level.  For instance, if most ticks are months, ticks around 1 Jan 2005
+        will be labeled "Dec", "2005", "Feb".  The default is
+        ``['', '%Y', '%b', '%b-%d', '%H:%M', '%H:%M']``
+
+    offset_formats : list of 6 strings, optional
+        Format strings for the 6 levels that is applied to the "offset"
+        string found on the right side of an x-axis, or top of a y-axis.
+        Combined with the tick labels this should completely specify the
+        date.  The default is::
+
+            ['', '%Y', '%Y-%b', '%Y-%b-%d', '%Y-%b-%d', '%Y-%b-%d %H:%M']
+
+    show_offset : bool, default: True
+        Whether to show the offset or not.
+
+    usetex : bool, default: :rc:`text.usetex`
+        To enable/disable the use of TeX's math mode for rendering the results
+        of the formatter.
+
+    Examples
+    --------
+    See :doc:`/gallery/ticks/date_concise_formatter`
+
+    .. plot::
+
+        import datetime
+        import matplotlib.dates as mdates
+
+        base = datetime.datetime(2005, 2, 1)
+        dates = np.array([base + datetime.timedelta(hours=(2 * i))
+                          for i in range(732)])
+        N = len(dates)
+        np.random.seed(19680801)
+        y = np.cumsum(np.random.randn(N))
+
+        fig, ax = plt.subplots(constrained_layout=True)
+        locator = mdates.AutoDateLocator()
+        formatter = mdates.ConciseDateFormatter(locator)
+        ax.xaxis.set_major_locator(locator)
+        ax.xaxis.set_major_formatter(formatter)
+
+        ax.plot(dates, y)
+        ax.set_title('Concise Date Formatter')
+
     """
-    def __init__(self, t, fmt, tz=None):
+
+    def __init__(self, locator, tz=None, formats=None, offset_formats=None,
+                 zero_formats=None, show_offset=True, *, usetex=None):
         """
-        *t* is a sequence of dates (floating point days).  *fmt* is a
-        :func:`strftime` format string.
+        Autoformat the date labels.  The default format is used to form an
+        initial string, and then redundant elements are removed.
         """
-        if tz is None:
-            tz = _get_rc_timezone()
-        self.t = t
-        self.fmt = fmt
-        self.tz = tz
+        self._locator = locator
+        self._tz = tz
+        self.defaultfmt = '%Y'
+        # there are 6 levels with each level getting a specific format
+        # 0: mostly years,  1: months,  2: days,
+        # 3: hours, 4: minutes, 5: seconds
+        if formats:
+            if len(formats) != 6:
+                raise ValueError('formats argument must be a list of '
+                                 '6 format strings (or None)')
+            self.formats = formats
+        else:
+            self.formats = ['%Y',  # ticks are mostly years
+                            '%b',          # ticks are mostly months
+                            '%d',          # ticks are mostly days
+                            '%H:%M',       # hrs
+                            '%H:%M',       # min
+                            '%S.%f',       # secs
+                            ]
+        # fmt for zeros ticks at this level.  These are
+        # ticks that should be labeled w/ info the level above.
+        # like 1 Jan can just be labelled "Jan".  02:02:00 can
+        # just be labeled 02:02.
+        if zero_formats:
+            if len(zero_formats) != 6:
+                raise ValueError('zero_formats argument must be a list of '
+                                 '6 format strings (or None)')
+            self.zero_formats = zero_formats
+        elif formats:
+            # use the users formats for the zero tick formats
+            self.zero_formats = [''] + self.formats[:-1]
+        else:
+            # make the defaults a bit nicer:
+            self.zero_formats = [''] + self.formats[:-1]
+            self.zero_formats[3] = '%b-%d'
+
+        if offset_formats:
+            if len(offset_formats) != 6:
+                raise ValueError('offset_formats argument must be a list of '
+                                 '6 format strings (or None)')
+            self.offset_formats = offset_formats
+        else:
+            self.offset_formats = ['',
+                                   '%Y',
+                                   '%Y-%b',
+                                   '%Y-%b-%d',
+                                   '%Y-%b-%d',
+                                   '%Y-%b-%d %H:%M']
+        self.offset_string = ''
+        self.show_offset = show_offset
+        self._usetex = mpl._val_or_rc(usetex, 'text.usetex')
 
-    def __call__(self, x, pos=0):
-        'Return the label for time *x* at position *pos*'
-        ind = int(round(x))
-        if ind >= len(self.t) or ind <= 0:
-            return ''
+    def __call__(self, x, pos=None):
+        formatter = DateFormatter(self.defaultfmt, self._tz,
+                                  usetex=self._usetex)
+        return formatter(x, pos=pos)
+
+    def format_ticks(self, values):
+        tickdatetime = [num2date(value, tz=self._tz) for value in values]
+        tickdate = np.array([tdt.timetuple()[:6] for tdt in tickdatetime])
+
+        # basic algorithm:
+        # 1) only display a part of the date if it changes over the ticks.
+        # 2) don't display the smaller part of the date if:
+        #    it is always the same or if it is the start of the
+        #    year, month, day etc.
+        # fmt for most ticks at this level
+        fmts = self.formats
+        # format beginnings of days, months, years, etc.
+        zerofmts = self.zero_formats
+        # offset fmt are for the offset in the upper left of the
+        # or lower right of the axis.
+        offsetfmts = self.offset_formats
+        show_offset = self.show_offset
+
+        # determine the level we will label at:
+        # mostly 0: years,  1: months,  2: days,
+        # 3: hours, 4: minutes, 5: seconds, 6: microseconds
+        for level in range(5, -1, -1):
+            unique = np.unique(tickdate[:, level])
+            if len(unique) > 1:
+                # if 1 is included in unique, the year is shown in ticks
+                if level < 2 and np.any(unique == 1):
+                    show_offset = False
+                break
+            elif level == 0:
+                # all tickdate are the same, so only micros might be different
+                # set to the most precise (6: microseconds doesn't exist...)
+                level = 5
+
+        # level is the basic level we will label at.
+        # now loop through and decide the actual ticklabels
+        zerovals = [0, 1, 1, 0, 0, 0, 0]
+        labels = [''] * len(tickdate)
+        for nn in range(len(tickdate)):
+            if level < 5:
+                if tickdate[nn][level] == zerovals[level]:
+                    fmt = zerofmts[level]
+                else:
+                    fmt = fmts[level]
+            else:
+                # special handling for seconds + microseconds
+                if (tickdatetime[nn].second == tickdatetime[nn].microsecond
+                        == 0):
+                    fmt = zerofmts[level]
+                else:
+                    fmt = fmts[level]
+            labels[nn] = tickdatetime[nn].strftime(fmt)
+
+        # special handling of seconds and microseconds:
+        # strip extra zeros and decimal if possible.
+        # this is complicated by two factors.  1) we have some level-4 strings
+        # here (i.e. 03:00, '0.50000', '1.000') 2) we would like to have the
+        # same number of decimals for each string (i.e. 0.5 and 1.0).
+        if level >= 5:
+            trailing_zeros = min(
+                (len(s) - len(s.rstrip('0')) for s in labels if '.' in s),
+                default=None)
+            if trailing_zeros:
+                for nn in range(len(labels)):
+                    if '.' in labels[nn]:
+                        labels[nn] = labels[nn][:-trailing_zeros].rstrip('.')
+
+        if show_offset:
+            # set the offset string:
+            if (self._locator.axis and
+                    self._locator.axis.__name__ in ('xaxis', 'yaxis')
+                    and self._locator.axis.get_inverted()):
+                self.offset_string = tickdatetime[0].strftime(offsetfmts[level])
+            else:
+                self.offset_string = tickdatetime[-1].strftime(offsetfmts[level])
+            if self._usetex:
+                self.offset_string = _wrap_in_tex(self.offset_string)
+        else:
+            self.offset_string = ''
 
-        dt = num2date(self.t[ind], self.tz)
+        if self._usetex:
+            return [_wrap_in_tex(l) for l in labels]
+        else:
+            return labels
 
-        return cbook.unicode_safe(dt.strftime(self.fmt))
+    def get_offset(self):
+        return self.offset_string
+
+    def format_data_short(self, value):
+        return num2date(value, tz=self._tz).strftime('%Y-%m-%d %H:%M:%S')
 
 
 class AutoDateFormatter(ticker.Formatter):
     """
-    This class attempts to figure out the best format to use.  This is
-    most useful when used with the :class:`AutoDateLocator`.
-
+    A `.Formatter` which attempts to figure out the best format to use.  This
+    is most useful when used with the `AutoDateLocator`.
 
-    The AutoDateFormatter has a scale dictionary that maps the scale
-    of the tick (the distance in days between one major tick) and a
-    format string.  The default looks like this::
+    `.AutoDateFormatter` has a ``.scale`` dictionary that maps tick scales (the
+    interval in days between one major tick) to format strings; this dictionary
+    defaults to ::
 
         self.scaled = {
-           365.0  : '%Y',
-           30.    : '%b %Y',
-           1.0    : '%b %d %Y',
-           1./24. : '%H:%M:%S',
-           1. / (24. * 60.): '%H:%M:%S.%f',
-           }
-
-
-    The algorithm picks the key in the dictionary that is >= the
-    current scale and uses that format string.  You can customize this
-    dictionary by doing::
-
-
-    >>> formatter = AutoDateFormatter()
-    >>> formatter.scaled[1/(24.*60.)] = '%M:%S' # only show min and sec
-
-    A custom :class:`~matplotlib.ticker.FuncFormatter` can also be used.
-    The following example shows how to use a custom format function to strip
-    trailing zeros from decimal seconds and adds the date to the first
-    ticklabel::
-
-        >>> def my_format_function(x, pos=None):
-        ...     x = matplotlib.dates.num2date(x)
-        ...     if pos == 0:
-        ...         fmt = '%D %H:%M:%S.%f'
-        ...     else:
-        ...         fmt = '%H:%M:%S.%f'
-        ...     label = x.strftime(fmt)
-        ...     label = label.rstrip("0")
-        ...     label = label.rstrip(".")
-        ...     return label
-        >>> from matplotlib.ticker import FuncFormatter
-        >>> formatter.scaled[1/(24.*60.)] = FuncFormatter(my_format_function)
+            DAYS_PER_YEAR: rcParams['date.autoformatter.year'],
+            DAYS_PER_MONTH: rcParams['date.autoformatter.month'],
+            1: rcParams['date.autoformatter.day'],
+            1 / HOURS_PER_DAY: rcParams['date.autoformatter.hour'],
+            1 / MINUTES_PER_DAY: rcParams['date.autoformatter.minute'],
+            1 / SEC_PER_DAY: rcParams['date.autoformatter.second'],
+            1 / MUSECONDS_PER_DAY: rcParams['date.autoformatter.microsecond'],
+        }
+
+    The formatter uses the format string corresponding to the lowest key in
+    the dictionary that is greater or equal to the current scale.  Dictionary
+    entries can be customized::
+
+        locator = AutoDateLocator()
+        formatter = AutoDateFormatter(locator)
+        formatter.scaled[1/(24*60)] = '%M:%S' # only show min and sec
+
+    Custom callables can also be used instead of format strings.  The following
+    example shows how to use a custom format function to strip trailing zeros
+    from decimal seconds and adds the date to the first ticklabel::
+
+        def my_format_function(x, pos=None):
+            x = matplotlib.dates.num2date(x)
+            if pos == 0:
+                fmt = '%D %H:%M:%S.%f'
+            else:
+                fmt = '%H:%M:%S.%f'
+            label = x.strftime(fmt)
+            label = label.rstrip("0")
+            label = label.rstrip(".")
+            return label
+
+        formatter.scaled[1/(24*60)] = my_format_function
     """
 
     # This can be improved by providing some user-level direction on
-    # how to choose the best format (precedence, etc...)
+    # how to choose the best format (precedence, etc.).
 
     # Perhaps a 'struct' that has a field for each time-type where a
     # zero would indicate "don't show" and a number would indicate
@@ -550,80 +875,232 @@ class AutoDateFormatter(ticker.Formatter):
     # Or more simply, perhaps just a format string for each
     # possibility...
 
-    def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
+    def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d', *,
+                 usetex=None):
         """
-        Autoformat the date labels.  The default format is the one to use
-        if none of the values in ``self.scaled`` are greater than the unit
-        returned by ``locator._get_unit()``.
+        Autoformat the date labels.
+
+        Parameters
+        ----------
+        locator : `.ticker.Locator`
+            Locator that this axis is using.
+
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
+
+        defaultfmt : str
+            The default format to use if none of the values in ``self.scaled``
+            are greater than the unit returned by ``locator._get_unit()``.
+
+        usetex : bool, default: :rc:`text.usetex`
+            To enable/disable the use of TeX's math mode for rendering the
+            results of the formatter. If any entries in ``self.scaled`` are set
+            as functions, then it is up to the customized function to enable or
+            disable TeX's math mode itself.
         """
         self._locator = locator
         self._tz = tz
         self.defaultfmt = defaultfmt
         self._formatter = DateFormatter(self.defaultfmt, tz)
-        self.scaled = {365.0: '%Y',
-                       30.: '%b %Y',
-                       1.0: '%b %d %Y',
-                       1. / 24.: '%H:%M:%S',
-                       1. / (24. * 60.): '%H:%M:%S.%f'}
+        rcParams = mpl.rcParams
+        self._usetex = mpl._val_or_rc(usetex, 'text.usetex')
+        self.scaled = {
+            DAYS_PER_YEAR: rcParams['date.autoformatter.year'],
+            DAYS_PER_MONTH: rcParams['date.autoformatter.month'],
+            1: rcParams['date.autoformatter.day'],
+            1 / HOURS_PER_DAY: rcParams['date.autoformatter.hour'],
+            1 / MINUTES_PER_DAY: rcParams['date.autoformatter.minute'],
+            1 / SEC_PER_DAY: rcParams['date.autoformatter.second'],
+            1 / MUSECONDS_PER_DAY: rcParams['date.autoformatter.microsecond']
+        }
+
+    def _set_locator(self, locator):
+        self._locator = locator
 
     def __call__(self, x, pos=None):
-        locator_unit_scale = float(self._locator._get_unit())
-        fmt = self.defaultfmt
-
+        try:
+            locator_unit_scale = float(self._locator._get_unit())
+        except AttributeError:
+            locator_unit_scale = 1
         # Pick the first scale which is greater than the locator unit.
-        for possible_scale in sorted(self.scaled):
-            if possible_scale >= locator_unit_scale:
-                fmt = self.scaled[possible_scale]
-                break
+        fmt = next((fmt for scale, fmt in sorted(self.scaled.items())
+                    if scale >= locator_unit_scale),
+                   self.defaultfmt)
 
-        if isinstance(fmt, six.string_types):
-            self._formatter = DateFormatter(fmt, self._tz)
+        if isinstance(fmt, str):
+            self._formatter = DateFormatter(fmt, self._tz, usetex=self._usetex)
             result = self._formatter(x, pos)
-        elif six.callable(fmt):
+        elif callable(fmt):
             result = fmt(x, pos)
         else:
-            raise TypeError('Unexpected type passed to {!r}.'.formatter(self))
+            raise TypeError(f'Unexpected type passed to {self!r}.')
 
         return result
 
 
-class rrulewrapper(object):
+class rrulewrapper:
+    """
+    A simple wrapper around a `dateutil.rrule` allowing flexible
+    date tick specifications.
+    """
+    def __init__(self, freq, tzinfo=None, **kwargs):
+        """
+        Parameters
+        ----------
+        freq : {YEARLY, MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY, SECONDLY}
+            Tick frequency. These constants are defined in `dateutil.rrule`,
+            but they are accessible from `matplotlib.dates` as well.
+        tzinfo : `datetime.tzinfo`, optional
+            Time zone information. The default is None.
+        **kwargs
+            Additional keyword arguments are passed to the `dateutil.rrule`.
+        """
+        kwargs['freq'] = freq
+        self._base_tzinfo = tzinfo
 
-    def __init__(self, freq, **kwargs):
-        self._construct = kwargs.copy()
-        self._construct["freq"] = freq
-        self._rrule = rrule(**self._construct)
+        self._update_rrule(**kwargs)
 
     def set(self, **kwargs):
+        """Set parameters for an existing wrapper."""
         self._construct.update(kwargs)
+
+        self._update_rrule(**self._construct)
+
+    def _update_rrule(self, **kwargs):
+        tzinfo = self._base_tzinfo
+
+        # rrule does not play nicely with timezones - especially pytz time
+        # zones, it's best to use naive zones and attach timezones once the
+        # datetimes are returned
+        if 'dtstart' in kwargs:
+            dtstart = kwargs['dtstart']
+            if dtstart.tzinfo is not None:
+                if tzinfo is None:
+                    tzinfo = dtstart.tzinfo
+                else:
+                    dtstart = dtstart.astimezone(tzinfo)
+
+                kwargs['dtstart'] = dtstart.replace(tzinfo=None)
+
+        if 'until' in kwargs:
+            until = kwargs['until']
+            if until.tzinfo is not None:
+                if tzinfo is not None:
+                    until = until.astimezone(tzinfo)
+                else:
+                    raise ValueError('until cannot be aware if dtstart '
+                                     'is naive and tzinfo is None')
+
+                kwargs['until'] = until.replace(tzinfo=None)
+
+        self._construct = kwargs.copy()
+        self._tzinfo = tzinfo
         self._rrule = rrule(**self._construct)
 
+    def _attach_tzinfo(self, dt, tzinfo):
+        # pytz zones are attached by "localizing" the datetime
+        if hasattr(tzinfo, 'localize'):
+            return tzinfo.localize(dt, is_dst=True)
+
+        return dt.replace(tzinfo=tzinfo)
+
+    def _aware_return_wrapper(self, f, returns_list=False):
+        """Decorator function that allows rrule methods to handle tzinfo."""
+        # This is only necessary if we're actually attaching a tzinfo
+        if self._tzinfo is None:
+            return f
+
+        # All datetime arguments must be naive. If they are not naive, they are
+        # converted to the _tzinfo zone before dropping the zone.
+        def normalize_arg(arg):
+            if isinstance(arg, datetime.datetime) and arg.tzinfo is not None:
+                if arg.tzinfo is not self._tzinfo:
+                    arg = arg.astimezone(self._tzinfo)
+
+                return arg.replace(tzinfo=None)
+
+            return arg
+
+        def normalize_args(args, kwargs):
+            args = tuple(normalize_arg(arg) for arg in args)
+            kwargs = {kw: normalize_arg(arg) for kw, arg in kwargs.items()}
+
+            return args, kwargs
+
+        # There are two kinds of functions we care about - ones that return
+        # dates and ones that return lists of dates.
+        if not returns_list:
+            def inner_func(*args, **kwargs):
+                args, kwargs = normalize_args(args, kwargs)
+                dt = f(*args, **kwargs)
+                return self._attach_tzinfo(dt, self._tzinfo)
+        else:
+            def inner_func(*args, **kwargs):
+                args, kwargs = normalize_args(args, kwargs)
+                dts = f(*args, **kwargs)
+                return [self._attach_tzinfo(dt, self._tzinfo) for dt in dts]
+
+        return functools.wraps(f)(inner_func)
+
     def __getattr__(self, name):
         if name in self.__dict__:
             return self.__dict__[name]
-        return getattr(self._rrule, name)
+
+        f = getattr(self._rrule, name)
+
+        if name in {'after', 'before'}:
+            return self._aware_return_wrapper(f)
+        elif name in {'xafter', 'xbefore', 'between'}:
+            return self._aware_return_wrapper(f, returns_list=True)
+        else:
+            return f
+
+    def __setstate__(self, state):
+        self.__dict__.update(state)
 
 
 class DateLocator(ticker.Locator):
+    """
+    Determines the tick locations when plotting dates.
+
+    This class is subclassed by other Locators and
+    is not meant to be used on its own.
+    """
     hms0d = {'byhour': 0, 'byminute': 0, 'bysecond': 0}
 
     def __init__(self, tz=None):
         """
-        *tz* is a :class:`tzinfo` instance.
+        Parameters
+        ----------
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
-        if tz is None:
-            tz = _get_rc_timezone()
-        self.tz = tz
+        self.tz = _get_tzinfo(tz)
 
     def set_tzinfo(self, tz):
-        self.tz = tz
+        """
+        Set timezone info.
+
+        Parameters
+        ----------
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
+        """
+        self.tz = _get_tzinfo(tz)
 
     def datalim_to_dt(self):
+        """Convert axis data interval to datetime objects."""
         dmin, dmax = self.axis.get_data_interval()
+        if dmin > dmax:
+            dmin, dmax = dmax, dmin
+
         return num2date(dmin, self.tz), num2date(dmax, self.tz)
 
     def viewlim_to_dt(self):
+        """Convert the view interval to datetime objects."""
         vmin, vmax = self.axis.get_view_interval()
+        if vmin > vmax:
+            vmin, vmax = vmax, vmin
         return num2date(vmin, self.tz), num2date(vmax, self.tz)
 
     def _get_unit(self):
@@ -643,8 +1120,13 @@ def nonsingular(self, vmin, vmax):
         """
         Given the proposed upper and lower extent, adjust the range
         if it is too close to being singular (i.e. a range of ~0).
-
         """
+        if not np.isfinite(vmin) or not np.isfinite(vmax):
+            # Except if there is no data, then use 1970 as default.
+            return (date2num(datetime.date(1970, 1, 1)),
+                    date2num(datetime.date(1970, 1, 2)))
+        if vmax < vmin:
+            vmin, vmax = vmax, vmin
         unit = self._get_unit()
         interval = self._get_interval()
         if abs(vmax - vmin) < 1e-6:
@@ -657,7 +1139,7 @@ class RRuleLocator(DateLocator):
     # use the dateutil rrule instance
 
     def __init__(self, o, tz=None):
-        DateLocator.__init__(self, tz)
+        super().__init__(tz)
         self.rule = o
 
     def __call__(self):
@@ -667,168 +1149,134 @@ def __call__(self):
         except ValueError:
             return []
 
-        if dmin > dmax:
-            dmax, dmin = dmin, dmax
-        delta = relativedelta(dmax, dmin)
+        return self.tick_values(dmin, dmax)
+
+    def tick_values(self, vmin, vmax):
+        start, stop = self._create_rrule(vmin, vmax)
+        dates = self.rule.between(start, stop, True)
+        if len(dates) == 0:
+            return date2num([vmin, vmax])
+        return self.raise_if_exceeds(date2num(dates))
+
+    def _create_rrule(self, vmin, vmax):
+        # set appropriate rrule dtstart and until and return
+        # start and end
+        delta = relativedelta(vmax, vmin)
 
         # We need to cap at the endpoints of valid datetime
         try:
-            start = dmin - delta
-        except ValueError:
-            start = _from_ordinalf(1.0)
+            start = vmin - delta
+        except (ValueError, OverflowError):
+            # cap
+            start = datetime.datetime(1, 1, 1, 0, 0, 0,
+                                      tzinfo=datetime.timezone.utc)
 
         try:
-            stop = dmax + delta
-        except ValueError:
-            # The magic number!
-            stop = _from_ordinalf(3652059.9999999)
-
-        self.rule.set(dtstart=start, until=stop, count=self.MAXTICKS + 1)
-
-        # estimate the number of ticks very approximately so we don't
-        # have to do a very expensive (and potentially near infinite)
-        # 'between' calculation, only to find out it will fail.
-        nmax, nmin = date2num((dmax, dmin))
-        estimate = (nmax - nmin) / (self._get_unit() * self._get_interval())
-        # This estimate is only an estimate, so be really conservative
-        # about bailing...
-        if estimate > self.MAXTICKS * 2:
-            raise RuntimeError(
-                'RRuleLocator estimated to generate %d ticks from %s to %s: '
-                'exceeds Locator.MAXTICKS * 2 (%d) ' % (estimate, dmin, dmax,
-                                                        self.MAXTICKS * 2))
-
-        dates = self.rule.between(dmin, dmax, True)
-        if len(dates) == 0:
-            return date2num([dmin, dmax])
-        return self.raise_if_exceeds(date2num(dates))
+            stop = vmax + delta
+        except (ValueError, OverflowError):
+            # cap
+            stop = datetime.datetime(9999, 12, 31, 23, 59, 59,
+                                     tzinfo=datetime.timezone.utc)
+
+        self.rule.set(dtstart=start, until=stop)
+
+        return vmin, vmax
 
     def _get_unit(self):
-        """
-        Return how many days a unit of the locator is; used for
-        intelligent autoscaling.
-        """
+        # docstring inherited
         freq = self.rule._rrule._freq
         return self.get_unit_generic(freq)
 
     @staticmethod
     def get_unit_generic(freq):
-        if (freq == YEARLY):
-            return 365.0
-        elif (freq == MONTHLY):
-            return 30.0
-        elif (freq == WEEKLY):
-            return 7.0
-        elif (freq == DAILY):
+        if freq == YEARLY:
+            return DAYS_PER_YEAR
+        elif freq == MONTHLY:
+            return DAYS_PER_MONTH
+        elif freq == WEEKLY:
+            return DAYS_PER_WEEK
+        elif freq == DAILY:
             return 1.0
-        elif (freq == HOURLY):
-            return (1.0 / 24.0)
-        elif (freq == MINUTELY):
-            return (1.0 / (24 * 60))
-        elif (freq == SECONDLY):
-            return (1.0 / (24 * 3600))
+        elif freq == HOURLY:
+            return 1.0 / HOURS_PER_DAY
+        elif freq == MINUTELY:
+            return 1.0 / MINUTES_PER_DAY
+        elif freq == SECONDLY:
+            return 1.0 / SEC_PER_DAY
         else:
             # error
-            return -1   # or should this just return '1'?
+            return -1  # or should this just return '1'?
 
     def _get_interval(self):
         return self.rule._rrule._interval
 
-    def autoscale(self):
-        """
-        Set the view limits to include the data range.
-        """
-        dmin, dmax = self.datalim_to_dt()
-        if dmin > dmax:
-            dmax, dmin = dmin, dmax
 
-        delta = relativedelta(dmax, dmin)
-
-        # We need to cap at the endpoints of valid datetime
-        try:
-            start = dmin - delta
-        except ValueError:
-            start = _from_ordinalf(1.0)
-
-        try:
-            stop = dmax + delta
-        except ValueError:
-            # The magic number!
-            stop = _from_ordinalf(3652059.9999999)
-
-        self.rule.set(dtstart=start, until=stop)
-        dmin, dmax = self.datalim_to_dt()
+class AutoDateLocator(DateLocator):
+    """
+    On autoscale, this class picks the best `DateLocator` to set the view
+    limits and the tick locations.
 
-        vmin = self.rule.before(dmin, True)
-        if not vmin:
-            vmin = dmin
+    Attributes
+    ----------
+    intervald : dict
+
+        Mapping of tick frequencies to multiples allowed for that ticking.
+        The default is ::
+
+            self.intervald = {
+                YEARLY  : [1, 2, 4, 5, 10, 20, 40, 50, 100, 200, 400, 500,
+                           1000, 2000, 4000, 5000, 10000],
+                MONTHLY : [1, 2, 3, 4, 6],
+                DAILY   : [1, 2, 3, 7, 14, 21],
+                HOURLY  : [1, 2, 3, 4, 6, 12],
+                MINUTELY: [1, 5, 10, 15, 30],
+                SECONDLY: [1, 5, 10, 15, 30],
+                MICROSECONDLY: [1, 2, 5, 10, 20, 50, 100, 200, 500,
+                                1000, 2000, 5000, 10000, 20000, 50000,
+                                100000, 200000, 500000, 1000000],
+            }
 
-        vmax = self.rule.after(dmax, True)
-        if not vmax:
-            vmax = dmax
+        where the keys are defined in `dateutil.rrule`.
 
-        vmin = date2num(vmin)
-        vmax = date2num(vmax)
+        The interval is used to specify multiples that are appropriate for
+        the frequency of ticking. For instance, every 7 days is sensible
+        for daily ticks, but for minutes/seconds, 15 or 30 make sense.
 
-        return self.nonsingular(vmin, vmax)
+        When customizing, you should only modify the values for the existing
+        keys. You should not add or delete entries.
 
+        Example for forcing ticks every 3 hours::
 
-class AutoDateLocator(DateLocator):
-    """
-    On autoscale, this class picks the best
-    :class:`DateLocator` to set the view limits and the tick
-    locations.
+            locator = AutoDateLocator()
+            locator.intervald[HOURLY] = [3]  # only show every 3 hours
     """
+
     def __init__(self, tz=None, minticks=5, maxticks=None,
-                 interval_multiples=False):
+                 interval_multiples=True):
         """
-        *minticks* is the minimum number of ticks desired, which is used to
-        select the type of ticking (yearly, monthly, etc.).
-
-        *maxticks* is the maximum number of ticks desired, which controls
-        any interval between ticks (ticking every other, every 3, etc.).
-        For really fine-grained control, this can be a dictionary mapping
-        individual rrule frequency constants (YEARLY, MONTHLY, etc.)
-        to their own maximum number of ticks.  This can be used to keep
-        the number of ticks appropriate to the format chosen in
-        :class:`AutoDateFormatter`. Any frequency not specified in this
-        dictionary is given a default value.
-
-        *tz* is a :class:`tzinfo` instance.
-
-        *interval_multiples* is a boolean that indicates whether ticks
-        should be chosen to be multiple of the interval. This will lock
-        ticks to 'nicer' locations. For example, this will force the
-        ticks to be at hours 0,6,12,18 when hourly ticking is done at
-        6 hour intervals.
-
-        The AutoDateLocator has an interval dictionary that maps the
-        frequency of the tick (a constant from dateutil.rrule) and a
-        multiple allowed for that ticking.  The default looks like this::
-
-          self.intervald = {
-            YEARLY  : [1, 2, 4, 5, 10, 20, 40, 50, 100, 200, 400, 500,
-                      1000, 2000, 4000, 5000, 10000],
-            MONTHLY : [1, 2, 3, 4, 6],
-            DAILY   : [1, 2, 3, 7, 14],
-            HOURLY  : [1, 2, 3, 4, 6, 12],
-            MINUTELY: [1, 5, 10, 15, 30],
-            SECONDLY: [1, 5, 10, 15, 30],
-            MICROSECONDLY: [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000,
-                           5000, 10000, 20000, 50000, 100000, 200000, 500000,
-                           1000000],
-            }
-
-        The interval is used to specify multiples that are appropriate for
-        the frequency of ticking. For instance, every 7 days is sensible
-        for daily ticks, but for minutes/seconds, 15 or 30 make sense.
-        You can customize this dictionary by doing::
-
-          locator = AutoDateLocator()
-          locator.intervald[HOURLY] = [3] # only show every 3 hours
+        Parameters
+        ----------
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
+        minticks : int
+            The minimum number of ticks desired; controls whether ticks occur
+            yearly, monthly, etc.
+        maxticks : int
+            The maximum number of ticks desired; controls the interval between
+            ticks (ticking every other, every 3, etc.).  For fine-grained
+            control, this can be a dictionary mapping individual rrule
+            frequency constants (YEARLY, MONTHLY, etc.) to their own maximum
+            number of ticks.  This can be used to keep the number of ticks
+            appropriate to the format chosen in `AutoDateFormatter`. Any
+            frequency not specified in this dictionary is given a default
+            value.
+        interval_multiples : bool, default: True
+            Whether ticks should be chosen to be multiple of the interval,
+            locking them to 'nicer' locations.  For example, this will force
+            the ticks to be at hours 0, 6, 12, 18 when hourly ticking is done
+            at 6 hour intervals.
         """
-        DateLocator.__init__(self, tz)
-        self._locator = YearLocator()
+        super().__init__(tz=tz)
         self._freq = YEARLY
         self._freqs = [YEARLY, MONTHLY, DAILY, HOURLY, MINUTELY,
                        SECONDLY, MICROSECONDLY]
@@ -843,8 +1291,7 @@ def __init__(self, tz=None, minticks=5, maxticks=None,
                 # Assume we were given an integer. Use this as the maximum
                 # number of ticks for every frequency and create a
                 # dictionary for this
-                self.maxticks = dict(zip(self._freqs,
-                                         [maxticks] * len(self._freqs)))
+                self.maxticks = dict.fromkeys(self._freqs, maxticks)
         self.interval_multiples = interval_multiples
         self.intervald = {
             YEARLY:   [1, 2, 4, 5, 10, 20, 40, 50, 100, 200, 400, 500,
@@ -856,60 +1303,66 @@ def __init__(self, tz=None, minticks=5, maxticks=None,
             SECONDLY: [1, 5, 10, 15, 30],
             MICROSECONDLY: [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000,
                             5000, 10000, 20000, 50000, 100000, 200000, 500000,
-                            1000000]}
-        self._byranges = [None, list(xrange(1, 13)), list(xrange(1, 32)),
-                          list(xrange(0, 24)), list(xrange(0, 60)),
-                          list(xrange(0, 60)), None]
+                            1000000],
+                            }
+        if interval_multiples:
+            # Swap "3" for "4" in the DAILY list; If we use 3 we get bad
+            # tick loc for months w/ 31 days: 1, 4, ..., 28, 31, 1
+            # If we use 4 then we get: 1, 5, ... 25, 29, 1
+            self.intervald[DAILY] = [1, 2, 4, 7, 14]
+
+        self._byranges = [None, range(1, 13), range(1, 32),
+                          range(0, 24), range(0, 60), range(0, 60), None]
 
     def __call__(self):
-        'Return the locations of the ticks'
-        self.refresh()
-        return self._locator()
+        # docstring inherited
+        dmin, dmax = self.viewlim_to_dt()
+        locator = self.get_locator(dmin, dmax)
+        return locator()
+
+    def tick_values(self, vmin, vmax):
+        return self.get_locator(vmin, vmax).tick_values(vmin, vmax)
 
     def nonsingular(self, vmin, vmax):
         # whatever is thrown at us, we can scale the unit.
         # But default nonsingular date plots at an ~4 year period.
+        if not np.isfinite(vmin) or not np.isfinite(vmax):
+            # Except if there is no data, then use 1970 as default.
+            return (date2num(datetime.date(1970, 1, 1)),
+                    date2num(datetime.date(1970, 1, 2)))
+        if vmax < vmin:
+            vmin, vmax = vmax, vmin
         if vmin == vmax:
-            vmin = vmin - 365 * 2
-            vmax = vmax + 365 * 2
+            vmin = vmin - DAYS_PER_YEAR * 2
+            vmax = vmax + DAYS_PER_YEAR * 2
         return vmin, vmax
 
-    def set_axis(self, axis):
-        DateLocator.set_axis(self, axis)
-        self._locator.set_axis(axis)
-
-    def refresh(self):
-        'Refresh internal information based on current limits.'
-        dmin, dmax = self.viewlim_to_dt()
-        self._locator = self.get_locator(dmin, dmax)
-
     def _get_unit(self):
         if self._freq in [MICROSECONDLY]:
             return 1. / MUSECONDS_PER_DAY
         else:
             return RRuleLocator.get_unit_generic(self._freq)
 
-    def autoscale(self):
-        'Try to choose the view limits intelligently.'
-        dmin, dmax = self.datalim_to_dt()
-        self._locator = self.get_locator(dmin, dmax)
-        return self._locator.autoscale()
-
     def get_locator(self, dmin, dmax):
-        'Pick the best locator based on a distance.'
+        """Pick the best locator based on a distance."""
         delta = relativedelta(dmax, dmin)
+        tdelta = dmax - dmin
 
         # take absolute difference
         if dmin > dmax:
             delta = -delta
-
-        numYears = (delta.years * 1.0)
-        numMonths = (numYears * 12.0) + delta.months
-        numDays = (numMonths * 31.0) + delta.days
-        numHours = (numDays * 24.0) + delta.hours
-        numMinutes = (numHours * 60.0) + delta.minutes
-        numSeconds = (numMinutes * 60.0) + delta.seconds
-        numMicroseconds = (numSeconds * 1e6) + delta.microseconds
+            tdelta = -tdelta
+        # The following uses a mix of calls to relativedelta and timedelta
+        # methods because there is incomplete overlap in the functionality of
+        # these similar functions, and it's best to avoid doing our own math
+        # whenever possible.
+        numYears = float(delta.years)
+        numMonths = numYears * MONTHS_PER_YEAR + delta.months
+        numDays = tdelta.days  # Avoids estimates of days/month, days/year.
+        numHours = numDays * HOURS_PER_DAY + delta.hours
+        numMinutes = numHours * MIN_PER_HOUR + delta.minutes
+        numSeconds = np.floor(tdelta.total_seconds())
+        numMicroseconds = np.floor(tdelta.total_seconds() * 1e6)
 
         nums = [numYears, numMonths, numDays, numHours, numMinutes,
                 numSeconds, numMicroseconds]
@@ -923,7 +1376,7 @@ def get_locator(self, dmin, dmax):
 
         # Loop over all the frequencies and try to find one that gives at
         # least a minticks tick positions.  Once this is found, look for
-        # an interval from an list specific to that frequency that gives no
+        # an interval from a list specific to that frequency that gives no
         # more than maxticks tick positions. Also, set up some ranges
         # (bymonth, etc.) as appropriate to be passed to rrulewrapper.
         for i, (freq, num) in enumerate(zip(self._freqs, nums)):
@@ -941,50 +1394,57 @@ def get_locator(self, dmin, dmax):
                 if num <= interval * (self.maxticks[freq] - 1):
                     break
             else:
-                # We went through the whole loop without breaking, default to
-                # the last interval in the list and raise a warning
-                warnings.warn('AutoDateLocator was unable to pick an '
-                              'appropriate interval for this date range. '
-                              'It may be necessary to add an interval value '
-                              "to the AutoDateLocator's intervald dictionary."
-                              ' Defaulting to {0}.'.format(interval))
+                if not (self.interval_multiples and freq == DAILY):
+                    _api.warn_external(
+                        f"AutoDateLocator was unable to pick an appropriate "
+                        f"interval for this date range. It may be necessary "
+                        f"to add an interval value to the AutoDateLocator's "
+                        f"intervald dictionary. Defaulting to {interval}.")
 
             # Set some parameters as appropriate
             self._freq = freq
 
             if self._byranges[i] and self.interval_multiples:
                 byranges[i] = self._byranges[i][::interval]
+                if i in (DAILY, WEEKLY):
+                    if interval == 14:
+                        # just make first and 15th.  Avoids 30th.
+                        byranges[i] = [1, 15]
+                    elif interval == 7:
+                        byranges[i] = [1, 8, 15, 22]
+
                 interval = 1
             else:
                 byranges[i] = self._byranges[i]
-
-            # We found what frequency to use
             break
         else:
-            raise ValueError('No sensible date limit could be found in the '
-                             'AutoDateLocator.')
+            interval = 1
 
-        if use_rrule_locator[i]:
+        if (freq == YEARLY) and self.interval_multiples:
+            locator = YearLocator(interval, tz=self.tz)
+        elif use_rrule_locator[i]:
             _, bymonth, bymonthday, byhour, byminute, bysecond, _ = byranges
-
             rrule = rrulewrapper(self._freq, interval=interval,
                                  dtstart=dmin, until=dmax,
                                  bymonth=bymonth, bymonthday=bymonthday,
                                  byhour=byhour, byminute=byminute,
                                  bysecond=bysecond)
 
-            locator = RRuleLocator(rrule, self.tz)
+            locator = RRuleLocator(rrule, tz=self.tz)
         else:
             locator = MicrosecondLocator(interval, tz=self.tz)
+            if date2num(dmin) > 70 * 365 and interval < 1000:
+                _api.warn_external(
+                    'Plotting microsecond time intervals for dates far from '
+                    f'the epoch (time origin: {get_epoch()}) is not well-'
+                    'supported. See matplotlib.dates.set_epoch to change the '
+                    'epoch.')
 
         locator.set_axis(self.axis)
-
-        locator.set_view_interval(*self.axis.get_view_interval())
-        locator.set_data_interval(*self.axis.get_data_interval())
         return locator
 
 
-class YearLocator(DateLocator):
+class YearLocator(RRuleLocator):
     """
     Make ticks on a given day of each year that is a multiple of base.
 
@@ -998,350 +1458,295 @@ class YearLocator(DateLocator):
     """
     def __init__(self, base=1, month=1, day=1, tz=None):
         """
-        Mark years that are multiple of base on a given month and day
-        (default jan 1).
-        """
-        DateLocator.__init__(self, tz)
-        self.base = ticker.Base(base)
-        self.replaced = {'month':  month,
-                         'day':    day,
-                         'hour':   0,
-                         'minute': 0,
-                         'second': 0,
-                         'tzinfo': tz
-                         }
-
-    def __call__(self):
-        dmin, dmax = self.viewlim_to_dt()
-        ymin = self.base.le(dmin.year)
-        ymax = self.base.ge(dmax.year)
-
-        ticks = [dmin.replace(year=ymin, **self.replaced)]
-        while 1:
-            dt = ticks[-1]
-            if dt.year >= ymax:
-                return date2num(ticks)
-            year = dt.year + self.base.get_base()
-            ticks.append(dt.replace(year=year, **self.replaced))
-
-    def autoscale(self):
-        """
-        Set the view limits to include the data range.
+        Parameters
+        ----------
+        base : int, default: 1
+            Mark ticks every *base* years.
+        month : int, default: 1
+            The month on which to place the ticks, starting from 1. Default is
+            January.
+        day : int, default: 1
+            The day on which to place the ticks.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
-        dmin, dmax = self.datalim_to_dt()
-
-        ymin = self.base.le(dmin.year)
-        ymax = self.base.ge(dmax.year)
-        vmin = dmin.replace(year=ymin, **self.replaced)
-        vmax = dmax.replace(year=ymax, **self.replaced)
+        rule = rrulewrapper(YEARLY, interval=base, bymonth=month,
+                            bymonthday=day, **self.hms0d)
+        super().__init__(rule, tz=tz)
+        self.base = ticker._Edge_integer(base, 0)
+
+    def _create_rrule(self, vmin, vmax):
+        # 'start' needs to be a multiple of the interval to create ticks on
+        # interval multiples when the tick frequency is YEARLY
+        ymin = max(self.base.le(vmin.year) * self.base.step, 1)
+        ymax = min(self.base.ge(vmax.year) * self.base.step, 9999)
+
+        c = self.rule._construct
+        replace = {'year': ymin,
+                   'month': c.get('bymonth', 1),
+                   'day': c.get('bymonthday', 1),
+                   'hour': 0, 'minute': 0, 'second': 0}
+
+        start = vmin.replace(**replace)
+        stop = start.replace(year=ymax)
+        self.rule.set(dtstart=start, until=stop)
 
-        vmin = date2num(vmin)
-        vmax = date2num(vmax)
-        return self.nonsingular(vmin, vmax)
+        return start, stop
 
 
 class MonthLocator(RRuleLocator):
     """
-    Make ticks on occurances of each month month, e.g., 1, 3, 12.
+    Make ticks on occurrences of each month, e.g., 1, 3, 12.
     """
-    def __init__(self,  bymonth=None, bymonthday=1, interval=1, tz=None):
+    def __init__(self, bymonth=None, bymonthday=1, interval=1, tz=None):
         """
-        Mark every month in *bymonth*; *bymonth* can be an int or
-        sequence.  Default is ``range(1,13)``, i.e. every month.
-
-        *interval* is the interval between each iteration.  For
-        example, if ``interval=2``, mark every second occurance.
+        Parameters
+        ----------
+        bymonth : int or list of int, default: all months
+            Ticks will be placed on every month in *bymonth*. Default is
+            ``range(1, 13)``, i.e. every month.
+        bymonthday : int, default: 1
+            The day on which to place the ticks.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
         if bymonth is None:
-            bymonth = list(xrange(1, 13))
-        o = rrulewrapper(MONTHLY, bymonth=bymonth, bymonthday=bymonthday,
-                         interval=interval, **self.hms0d)
-        RRuleLocator.__init__(self, o, tz)
+            bymonth = range(1, 13)
+
+        rule = rrulewrapper(MONTHLY, bymonth=bymonth, bymonthday=bymonthday,
+                            interval=interval, **self.hms0d)
+        super().__init__(rule, tz=tz)
 
 
 class WeekdayLocator(RRuleLocator):
     """
-    Make ticks on occurances of each weekday.
+    Make ticks on occurrences of each weekday.
     """
 
-    def __init__(self,  byweekday=1, interval=1, tz=None):
+    def __init__(self, byweekday=1, interval=1, tz=None):
         """
-        Mark every weekday in *byweekday*; *byweekday* can be a number or
-        sequence.
-
-        Elements of *byweekday* must be one of MO, TU, WE, TH, FR, SA,
-        SU, the constants from :mod:`dateutil.rrule`, which have been
-        imported into the :mod:`matplotlib.dates` namespace.
-
-        *interval* specifies the number of weeks to skip.  For example,
-        ``interval=2`` plots every second week.
+        Parameters
+        ----------
+        byweekday : int or list of int, default: all days
+            Ticks will be placed on every weekday in *byweekday*. Default is
+            every day.
+
+            Elements of *byweekday* must be one of MO, TU, WE, TH, FR, SA,
+            SU, the constants from :mod:`dateutil.rrule`, which have been
+            imported into the :mod:`matplotlib.dates` namespace.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
-        o = rrulewrapper(DAILY, byweekday=byweekday,
-                         interval=interval, **self.hms0d)
-        RRuleLocator.__init__(self, o, tz)
+        rule = rrulewrapper(DAILY, byweekday=byweekday,
+                            interval=interval, **self.hms0d)
+        super().__init__(rule, tz=tz)
 
 
 class DayLocator(RRuleLocator):
     """
-    Make ticks on occurances of each day of the month.  For example,
+    Make ticks on occurrences of each day of the month.  For example,
     1, 15, 30.
     """
-    def __init__(self,  bymonthday=None, interval=1, tz=None):
+    def __init__(self, bymonthday=None, interval=1, tz=None):
         """
-        Mark every day in *bymonthday*; *bymonthday* can be an int or
-        sequence.
-
-        Default is to tick every day of the month: ``bymonthday=range(1,32)``
+        Parameters
+        ----------
+        bymonthday : int or list of int, default: all days
+            Ticks will be placed on every day in *bymonthday*. Default is
+            ``bymonthday=range(1, 32)``, i.e., every day of the month.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
+        if interval != int(interval) or interval < 1:
+            raise ValueError("interval must be an integer greater than 0")
         if bymonthday is None:
-            bymonthday = list(xrange(1, 32))
-        o = rrulewrapper(DAILY, bymonthday=bymonthday,
-                         interval=interval, **self.hms0d)
-        RRuleLocator.__init__(self, o, tz)
+            bymonthday = range(1, 32)
+
+        rule = rrulewrapper(DAILY, bymonthday=bymonthday,
+                            interval=interval, **self.hms0d)
+        super().__init__(rule, tz=tz)
 
 
 class HourLocator(RRuleLocator):
     """
-    Make ticks on occurances of each hour.
+    Make ticks on occurrences of each hour.
     """
-    def __init__(self,  byhour=None, interval=1, tz=None):
+    def __init__(self, byhour=None, interval=1, tz=None):
         """
-        Mark every hour in *byhour*; *byhour* can be an int or sequence.
-        Default is to tick every hour: ``byhour=range(24)``
-
-        *interval* is the interval between each iteration.  For
-        example, if ``interval=2``, mark every second occurrence.
+        Parameters
+        ----------
+        byhour : int or list of int, default: all hours
+            Ticks will be placed on every hour in *byhour*. Default is
+            ``byhour=range(24)``, i.e., every hour.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
         if byhour is None:
-            byhour = list(xrange(24))
+            byhour = range(24)
+
         rule = rrulewrapper(HOURLY, byhour=byhour, interval=interval,
                             byminute=0, bysecond=0)
-        RRuleLocator.__init__(self, rule, tz)
+        super().__init__(rule, tz=tz)
 
 
 class MinuteLocator(RRuleLocator):
     """
-    Make ticks on occurances of each minute.
+    Make ticks on occurrences of each minute.
     """
-    def __init__(self,  byminute=None, interval=1, tz=None):
+    def __init__(self, byminute=None, interval=1, tz=None):
         """
-        Mark every minute in *byminute*; *byminute* can be an int or
-        sequence.  Default is to tick every minute: ``byminute=range(60)``
-
-        *interval* is the interval between each iteration.  For
-        example, if ``interval=2``, mark every second occurrence.
+        Parameters
+        ----------
+        byminute : int or list of int, default: all minutes
+            Ticks will be placed on every minute in *byminute*. Default is
+            ``byminute=range(60)``, i.e., every minute.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
         if byminute is None:
-            byminute = list(xrange(60))
+            byminute = range(60)
+
         rule = rrulewrapper(MINUTELY, byminute=byminute, interval=interval,
                             bysecond=0)
-        RRuleLocator.__init__(self, rule, tz)
+        super().__init__(rule, tz=tz)
 
 
 class SecondLocator(RRuleLocator):
     """
-    Make ticks on occurances of each second.
+    Make ticks on occurrences of each second.
     """
-    def __init__(self,  bysecond=None, interval=1, tz=None):
+    def __init__(self, bysecond=None, interval=1, tz=None):
         """
-        Mark every second in *bysecond*; *bysecond* can be an int or
-        sequence.  Default is to tick every second: ``bysecond = range(60)``
-
-        *interval* is the interval between each iteration.  For
-        example, if ``interval=2``, mark every second occurrence.
-
+        Parameters
+        ----------
+        bysecond : int or list of int, default: all seconds
+            Ticks will be placed on every second in *bysecond*. Default is
+            ``bysecond = range(60)``, i.e., every second.
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
         if bysecond is None:
-            bysecond = list(xrange(60))
+            bysecond = range(60)
+
         rule = rrulewrapper(SECONDLY, bysecond=bysecond, interval=interval)
-        RRuleLocator.__init__(self, rule, tz)
+        super().__init__(rule, tz=tz)
 
 
 class MicrosecondLocator(DateLocator):
     """
-    Make ticks on occurances of each microsecond.
+    Make ticks on regular intervals of one or more microsecond(s).
+
+    .. note::
+
+        By default, Matplotlib uses a floating point representation of time in
+        days since the epoch, so plotting data with
+        microsecond time resolution does not work well for
+        dates that are far (about 70 years) from the epoch (check with
+        `~.dates.get_epoch`).
+
+        If you want sub-microsecond resolution time plots, it is strongly
+        recommended to use floating point seconds, not datetime-like
+        time representation.
+
+        If you really must use datetime.datetime() or similar and still
+        need microsecond precision, change the time origin via
+        `.dates.set_epoch` to something closer to the dates being plotted.
+        See :doc:`/gallery/ticks/date_precision_and_epochs`.
 
     """
     def __init__(self, interval=1, tz=None):
         """
-        *interval* is the interval between each iteration.  For
-        example, if ``interval=2``, mark every second microsecond.
-
+        Parameters
+        ----------
+        interval : int, default: 1
+            The interval between each iteration. For example, if
+            ``interval=2``, mark every second occurrence.
+        tz : str or `~datetime.tzinfo`, default: :rc:`timezone`
+            Ticks timezone. If a string, *tz* is passed to `dateutil.tz`.
         """
+        super().__init__(tz=tz)
         self._interval = interval
         self._wrapped_locator = ticker.MultipleLocator(interval)
-        self.tz = tz
 
     def set_axis(self, axis):
         self._wrapped_locator.set_axis(axis)
-        return DateLocator.set_axis(self, axis)
+        return super().set_axis(axis)
 
-    def set_view_interval(self, vmin, vmax):
-        self._wrapped_locator.set_view_interval(vmin, vmax)
-        return DateLocator.set_view_interval(self, vmin, vmax)
+    def __call__(self):
+        # if no data have been set, this will tank with a ValueError
+        try:
+            dmin, dmax = self.viewlim_to_dt()
+        except ValueError:
+            return []
 
-    def set_data_interval(self, vmin, vmax):
-        self._wrapped_locator.set_data_interval(vmin, vmax)
-        return DateLocator.set_data_interval(self, vmin, vmax)
+        return self.tick_values(dmin, dmax)
 
-    def __call__(self, *args, **kwargs):
-        vmin, vmax = self.axis.get_view_interval()
-        vmin *= MUSECONDS_PER_DAY
-        vmax *= MUSECONDS_PER_DAY
-        ticks = self._wrapped_locator.tick_values(vmin, vmax)
-        ticks = [tick / MUSECONDS_PER_DAY for tick in ticks]
+    def tick_values(self, vmin, vmax):
+        nmin, nmax = date2num((vmin, vmax))
+        t0 = np.floor(nmin)
+        nmax = nmax - t0
+        nmin = nmin - t0
+        nmin *= MUSECONDS_PER_DAY
+        nmax *= MUSECONDS_PER_DAY
+
+        ticks = self._wrapped_locator.tick_values(nmin, nmax)
+
+        ticks = ticks / MUSECONDS_PER_DAY + t0
         return ticks
 
     def _get_unit(self):
-        """
-        Return how many days a unit of the locator is; used for
-        intelligent autoscaling.
-        """
+        # docstring inherited
         return 1. / MUSECONDS_PER_DAY
 
     def _get_interval(self):
-        """
-        Return the number of units for each tick.
-        """
+        # docstring inherited
         return self._interval
 
 
-def _close_to_dt(d1, d2, epsilon=5):
-    'Assert that datetimes *d1* and *d2* are within *epsilon* microseconds.'
-    delta = d2 - d1
-    mus = abs(delta.days * MUSECONDS_PER_DAY + delta.seconds * 1e6 +
-              delta.microseconds)
-    assert(mus < epsilon)
-
-
-def _close_to_num(o1, o2, epsilon=5):
-    """
-    Assert that float ordinals *o1* and *o2* are within *epsilon*
-    microseconds.
-    """
-    delta = abs((o2 - o1) * MUSECONDS_PER_DAY)
-    assert(delta < epsilon)
-
-
-def epoch2num(e):
-    """
-    Convert an epoch or sequence of epochs to the new date format,
-    that is days since 0001.
-    """
-    spd = 24. * 3600.
-    return 719163 + np.asarray(e) / spd
-
-
-def num2epoch(d):
-    """
-    Convert days since 0001 to epoch.  *d* can be a number or sequence.
-    """
-    spd = 24. * 3600.
-    return (np.asarray(d) - 719163) * spd
-
-
-def mx2num(mxdates):
-    """
-    Convert mx :class:`datetime` instance (or sequence of mx
-    instances) to the new date format.
-    """
-    scalar = False
-    if not cbook.iterable(mxdates):
-        scalar = True
-        mxdates = [mxdates]
-    ret = epoch2num([m.ticks() for m in mxdates])
-    if scalar:
-        return ret[0]
-    else:
-        return ret
-
-
-def date_ticker_factory(span, tz=None, numticks=5):
-    """
-    Create a date locator with *numticks* (approx) and a date formatter
-    for *span* in days.  Return value is (locator, formatter).
-    """
-
-    if span == 0:
-        span = 1 / 24.
-
-    minutes = span * 24 * 60
-    hours = span * 24
-    days = span
-    weeks = span / 7.
-    months = span / 31.  # approx
-    years = span / 365.
-
-    if years > numticks:
-        locator = YearLocator(int(years / numticks), tz=tz)  # define
-        fmt = '%Y'
-    elif months > numticks:
-        locator = MonthLocator(tz=tz)
-        fmt = '%b %Y'
-    elif weeks > numticks:
-        locator = WeekdayLocator(tz=tz)
-        fmt = '%a, %b %d'
-    elif days > numticks:
-        locator = DayLocator(interval=int(math.ceil(days / numticks)), tz=tz)
-        fmt = '%b %d'
-    elif hours > numticks:
-        locator = HourLocator(interval=int(math.ceil(hours / numticks)), tz=tz)
-        fmt = '%H:%M\n%b %d'
-    elif minutes > numticks:
-        locator = MinuteLocator(interval=int(math.ceil(minutes / numticks)),
-                                tz=tz)
-        fmt = '%H:%M:%S'
-    else:
-        locator = MinuteLocator(tz=tz)
-        fmt = '%H:%M:%S'
-
-    formatter = DateFormatter(fmt, tz=tz)
-    return locator, formatter
-
-
-def seconds(s):
-    'Return seconds as days.'
-    return float(s) / SEC_PER_DAY
-
-
-def minutes(m):
-    'Return minutes as days.'
-    return float(m) / MINUTES_PER_DAY
-
-
-def hours(h):
-    'Return hours as days.'
-    return h / 24.
-
-
-def weeks(w):
-    'Return weeks as days.'
-    return w * 7.
-
-
 class DateConverter(units.ConversionInterface):
     """
-    Converter for datetime.date and datetime.datetime data,
-    or for date/time data represented as it would be converted
-    by :func:`date2num`.
+    Converter for `datetime.date` and `datetime.datetime` data, or for
+    date/time data represented as it would be converted by `date2num`.
 
-    The 'unit' tag for such data is None or a tzinfo instance.
+    The 'unit' tag for such data is None or a `~datetime.tzinfo` instance.
     """
 
-    @staticmethod
-    def axisinfo(unit, axis):
+    def __init__(self, *, interval_multiples=True):
+        self._interval_multiples = interval_multiples
+        super().__init__()
+
+    def axisinfo(self, unit, axis):
         """
-        Return the :class:`~matplotlib.units.AxisInfo` for *unit*.
+        Return the `~matplotlib.units.AxisInfo` for *unit*.
 
-        *unit* is a tzinfo instance or None.
+        *unit* is a `~datetime.tzinfo` instance or None.
         The *axis* argument is required but not used.
         """
         tz = unit
 
-        majloc = AutoDateLocator(tz=tz)
+        majloc = AutoDateLocator(tz=tz,
+                                 interval_multiples=self._interval_multiples)
         majfmt = AutoDateFormatter(majloc, tz=tz)
-        datemin = datetime.date(2000, 1, 1)
-        datemax = datetime.date(2010, 1, 1)
+        datemin = datetime.date(1970, 1, 1)
+        datemax = datetime.date(1970, 1, 2)
 
         return units.AxisInfo(majloc=majloc, majfmt=majfmt, label='',
                               default_limits=(datemin, datemax))
@@ -1349,24 +1754,25 @@ def axisinfo(unit, axis):
     @staticmethod
     def convert(value, unit, axis):
         """
-        If *value* is not already a number or sequence of numbers,
-        convert it with :func:`date2num`.
+        If *value* is not already a number or sequence of numbers, convert it
+        with `date2num`.
 
         The *unit* and *axis* arguments are not used.
         """
-        if units.ConversionInterface.is_numlike(value):
-            return value
         return date2num(value)
 
     @staticmethod
     def default_units(x, axis):
-        'Return the tzinfo instance of *x* or of its first element, or None'
+        """
+        Return the `~datetime.tzinfo` instance of *x* or of its first element,
+        or None
+        """
         if isinstance(x, np.ndarray):
             x = x.ravel()
 
         try:
-            x = x[0]
-        except (TypeError, IndexError):
+            x = cbook._safe_first_finite(x)
+        except (TypeError, StopIteration):
             pass
 
         try:
@@ -1376,5 +1782,59 @@ def default_units(x, axis):
         return None
 
 
-units.registry[datetime.date] = DateConverter()
-units.registry[datetime.datetime] = DateConverter()
+class ConciseDateConverter(DateConverter):
+    # docstring inherited
+
+    def __init__(self, formats=None, zero_formats=None, offset_formats=None,
+                 show_offset=True, *, interval_multiples=True):
+        self._formats = formats
+        self._zero_formats = zero_formats
+        self._offset_formats = offset_formats
+        self._show_offset = show_offset
+        self._interval_multiples = interval_multiples
+        super().__init__()
+
+    def axisinfo(self, unit, axis):
+        # docstring inherited
+        tz = unit
+        majloc = AutoDateLocator(tz=tz,
+                                 interval_multiples=self._interval_multiples)
+        majfmt = ConciseDateFormatter(majloc, tz=tz, formats=self._formats,
+                                      zero_formats=self._zero_formats,
+                                      offset_formats=self._offset_formats,
+                                      show_offset=self._show_offset)
+        datemin = datetime.date(1970, 1, 1)
+        datemax = datetime.date(1970, 1, 2)
+        return units.AxisInfo(majloc=majloc, majfmt=majfmt, label='',
+                              default_limits=(datemin, datemax))
+
+
+class _SwitchableDateConverter:
+    """
+    Helper converter-like object that generates and dispatches to
+    temporary ConciseDateConverter or DateConverter instances based on
+    :rc:`date.converter` and :rc:`date.interval_multiples`.
+    """
+
+    @staticmethod
+    def _get_converter():
+        converter_cls = {
+            "concise": ConciseDateConverter, "auto": DateConverter}[
+                mpl.rcParams["date.converter"]]
+        interval_multiples = mpl.rcParams["date.interval_multiples"]
+        return converter_cls(interval_multiples=interval_multiples)
+
+    def axisinfo(self, *args, **kwargs):
+        return self._get_converter().axisinfo(*args, **kwargs)
+
+    def default_units(self, *args, **kwargs):
+        return self._get_converter().default_units(*args, **kwargs)
+
+    def convert(self, *args, **kwargs):
+        return self._get_converter().convert(*args, **kwargs)
+
+
+units.registry[np.datetime64] = \
+    units.registry[datetime.date] = \
+    units.registry[datetime.datetime] = \
+    _SwitchableDateConverter()
diff --git a/lib/matplotlib/delaunay/VoronoiDiagramGenerator.cpp b/lib/matplotlib/delaunay/VoronoiDiagramGenerator.cpp
deleted file mode 100644
index 8f72b3694d7a..000000000000
--- a/lib/matplotlib/delaunay/VoronoiDiagramGenerator.cpp
+++ /dev/null
@@ -1,1156 +0,0 @@
-/*
- * The author of this software is Steven Fortune.  Copyright (c) 1994 by AT&T
- * Bell Laboratories.
- * Permission to use, copy, modify, and distribute this software for any
- * purpose without fee is hereby granted, provided that this entire notice
- * is included in all copies of any software which is or includes a copy
- * or modification of this software and in all copies of the supporting
- * documentation for such software.
- * THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR IMPLIED
- * WARRANTY.  IN PARTICULAR, NEITHER THE AUTHORS NOR AT&T MAKE ANY
- * REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE MERCHANTABILITY
- * OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR PURPOSE.
- */
-
-/* 
- * This code was originally written by Stephan Fortune in C code.  Shane O'Sullivan, 
- * have since modified it, encapsulating it in a C++ class and, fixing memory leaks and 
- * adding accessors to the Voronoi Edges.
- * Permission to use, copy, modify, and distribute this software for any
- * purpose without fee is hereby granted, provided that this entire notice
- * is included in all copies of any software which is or includes a copy
- * or modification of this software and in all copies of the supporting
- * documentation for such software.
- * THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR IMPLIED
- * WARRANTY.  IN PARTICULAR, NEITHER THE AUTHORS NOR AT&T MAKE ANY
- * REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE MERCHANTABILITY
- * OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR PURPOSE.
- */
- 
-/*
- * Subsequently, Robert Kern modified it to yield Python objects.
- * Copyright 2005 Robert Kern <robert.kern@gmail.com>
- * See LICENSE.txt in the scipy source directory.
- */
-
-#include <Python.h>
-#define NO_IMPORT_ARRAY
-#include "numpy/arrayobject.h"
-
-#include "VoronoiDiagramGenerator.h"
-
-VoronoiDiagramGenerator::VoronoiDiagramGenerator()
-{
-    siteidx = 0;
-    sites = 0;
-
-    allMemoryList = new FreeNodeArrayList;
-    allMemoryList->memory = 0;
-    allMemoryList->next = 0;
-    currentMemoryBlock = allMemoryList;
-    allEdges = 0;
-    allEdgeList = 0;
-    iteratorEdges = 0;
-    iterEdgeList = 0;
-    minDistanceBetweenSites = 0;
-}
-
-VoronoiDiagramGenerator::~VoronoiDiagramGenerator()
-{
-    cleanupEdgeList();
-    cleanup();
-    cleanupEdges();
-
-    if(allMemoryList != 0)
-        delete allMemoryList;
-}
-
-
-
-bool VoronoiDiagramGenerator::generateVoronoi(double *xValues, double *yValues, int numPoints, double minX, double maxX, double minY, double maxY, double minDist)
-{
-    cleanupEdgeList();
-    cleanup();
-    cleanupEdges();
-    int i;
-
-    minDistanceBetweenSites = minDist;
-
-    nsites=numPoints;
-    plot = 0;
-    triangulate = 0;    
-    debug = 1;
-    sorted = 0; 
-    freeinit(&sfl, sizeof (Site));
-
-    sites = (struct Site *) myalloc(nsites*sizeof( *sites));
-
-    if(sites == 0)
-        return false;
-
-    xmin = xValues[0];
-    ymin = yValues[0];
-    xmax = xValues[0];
-    ymax = yValues[0];
-
-    for(i = 0; i< nsites; i++)
-    {
-        sites[i].coord.x = xValues[i];
-        sites[i].coord.y = yValues[i];
-        sites[i].sitenbr = i;
-        sites[i].refcnt = 0;
-
-        if(xValues[i] < xmin)
-            xmin = xValues[i];
-        else if(xValues[i] > xmax)
-            xmax = xValues[i];
-
-        if(yValues[i] < ymin)
-            ymin = yValues[i];
-        else if(yValues[i] > ymax)
-            ymax = yValues[i];
-
-        //printf("\n%f %f\n",xValues[i],yValues[i]);
-    }
-    
-    qsort(sites, nsites, sizeof (*sites), scomp);
-    
-    siteidx = 0;
-    geominit();
-    double temp = 0;
-    if(minX > maxX)
-    {
-        temp = minX;
-        minX = maxX;
-        maxX = temp;
-    }
-    if(minY > maxY)
-    {
-        temp = minY;
-        minY = maxY;
-        maxY = temp;
-    }
-    borderMinX = minX;
-    borderMinY = minY;
-    borderMaxX = maxX;
-    borderMaxY = maxY;
-    
-    siteidx = 0;    
-
-    voronoi(triangulate);
-
-    return true;
-}
-
-bool VoronoiDiagramGenerator::ELinitialize()
-{
-    int i;
-    freeinit(&hfl, sizeof **ELhash);
-    ELhashsize = 2 * sqrt_nsites;
-    ELhash = (struct Halfedge **) myalloc ( sizeof *ELhash * ELhashsize);
-
-    if(ELhash == 0)
-        return false;
-
-    for(i=0; i<ELhashsize; i +=1) ELhash[i] = (struct Halfedge *)NULL;
-    ELleftend = HEcreate( (struct Edge *)NULL, 0);
-    ELrightend = HEcreate( (struct Edge *)NULL, 0);
-    ELleftend -> ELleft = (struct Halfedge *)NULL;
-    ELleftend -> ELright = ELrightend;
-    ELrightend -> ELleft = ELleftend;
-    ELrightend -> ELright = (struct Halfedge *)NULL;
-    ELhash[0] = ELleftend;
-    ELhash[ELhashsize-1] = ELrightend;
-
-    return true;
-}
-
-
-struct Halfedge* VoronoiDiagramGenerator::HEcreate(struct Edge *e,int pm)
-{
-    struct Halfedge *answer;
-    answer = (struct Halfedge *) getfree(&hfl);
-    answer -> ELedge = e;
-    answer -> ELpm = pm;
-    answer -> PQnext = (struct Halfedge *) NULL;
-    answer -> vertex = (struct Site *) NULL;
-    answer -> ELrefcnt = 0;
-    return(answer);
-}
-
-
-void VoronoiDiagramGenerator::ELinsert(struct    Halfedge *lb, struct Halfedge *newHe)
-{
-    newHe -> ELleft = lb;
-    newHe -> ELright = lb -> ELright;
-    (lb -> ELright) -> ELleft = newHe;
-    lb -> ELright = newHe;
-}
-
-/* Get entry from hash table, pruning any deleted nodes */
-struct Halfedge * VoronoiDiagramGenerator::ELgethash(int b)
-{
-    struct Halfedge *he;
-    
-    if(b<0 || b>=ELhashsize) 
-        return((struct Halfedge *) NULL);
-    he = ELhash[b]; 
-    if (he == (struct Halfedge *) NULL || he->ELedge != (struct Edge *) DELETED ) 
-        return (he);
-    
-    /* Hash table points to deleted half edge.  Patch as necessary. */
-    ELhash[b] = (struct Halfedge *) NULL;
-    if ((he -> ELrefcnt -= 1) == 0) 
-        makefree((Freenode*)he, &hfl);
-    return ((struct Halfedge *) NULL);
-}    
-
-struct Halfedge * VoronoiDiagramGenerator::ELleftbnd(struct Point *p)
-{
-    int i, bucket;
-    struct Halfedge *he;
-    
-    /* Use hash table to get close to desired halfedge */
-    bucket = (int)((p->x - xmin)/deltax * ELhashsize);    //use the hash function to find the place in the hash map that this HalfEdge should be
-
-    if(bucket<0) bucket =0;                    //make sure that the bucket position in within the range of the hash array
-    if(bucket>=ELhashsize) bucket = ELhashsize - 1;
-
-    he = ELgethash(bucket);
-    if(he == (struct Halfedge *) NULL)            //if the HE isn't found, search backwards and forwards in the hash map for the first non-null entry
-    {   
-        for(i=1; 1 ; i += 1)
-        {    
-            if ((he=ELgethash(bucket-i)) != (struct Halfedge *) NULL) 
-                break;
-            if ((he=ELgethash(bucket+i)) != (struct Halfedge *) NULL) 
-                break;
-        };
-        totalsearch += i;
-    };
-    ntry += 1;
-    /* Now search linear list of halfedges for the correct one */
-    if (he==ELleftend  || (he != ELrightend && right_of(he,p)))
-    {
-        do 
-        {
-            he = he -> ELright;
-        } while (he!=ELrightend && right_of(he,p));    //keep going right on the list until either the end is reached, or you find the 1st edge which the point
-        he = he -> ELleft;                //isn't to the right of
-    }
-    else                             //if the point is to the left of the HalfEdge, then search left for the HE just to the left of the point
-        do 
-        {
-            he = he -> ELleft;
-        } while (he!=ELleftend && !right_of(he,p));
-        
-    /* Update hash table and reference counts */
-    if(bucket > 0 && bucket <ELhashsize-1)
-    {    
-        if(ELhash[bucket] != (struct Halfedge *) NULL) 
-        {
-            ELhash[bucket] -> ELrefcnt -= 1;
-        }
-        ELhash[bucket] = he;
-        ELhash[bucket] -> ELrefcnt += 1;
-    };
-    return (he);
-}
-
-
-/* This delete routine can't reclaim node, since pointers from hash
-table may be present.   */
-void VoronoiDiagramGenerator::ELdelete(struct Halfedge *he)
-{
-    (he -> ELleft) -> ELright = he -> ELright;
-    (he -> ELright) -> ELleft = he -> ELleft;
-    he -> ELedge = (struct Edge *)DELETED;
-}
-
-
-struct Halfedge * VoronoiDiagramGenerator::ELright(struct Halfedge *he)
-{
-    return (he -> ELright);
-}
-
-struct Halfedge * VoronoiDiagramGenerator::ELleft(struct Halfedge *he)
-{
-    return (he -> ELleft);
-}
-
-
-struct Site * VoronoiDiagramGenerator::leftreg(struct Halfedge *he)
-{
-    if(he -> ELedge == (struct Edge *)NULL) 
-        return(bottomsite);
-    return( he -> ELpm == le ? 
-        he -> ELedge -> reg[le] : he -> ELedge -> reg[re]);
-}
-
-struct Site * VoronoiDiagramGenerator::rightreg(struct Halfedge *he)
-{
-    if(he -> ELedge == (struct Edge *)NULL) //if this halfedge has no edge, return the bottom site (whatever that is)
-        return(bottomsite);
-
-    //if the ELpm field is zero, return the site 0 that this edge bisects, otherwise return site number 1
-    return( he -> ELpm == le ? he -> ELedge -> reg[re] : he -> ELedge -> reg[le]);
-}
-
-void VoronoiDiagramGenerator::geominit()
-{    
-    double sn;
-
-    freeinit(&efl, sizeof(Edge));
-    nvertices = 0;
-    nedges = 0;
-    sn = (double)nsites+4;
-    sqrt_nsites = (int)sqrt(sn);
-    deltay = ymax - ymin;
-    deltax = xmax - xmin;
-}
-
-
-struct Edge * VoronoiDiagramGenerator::bisect(struct Site *s1, struct Site *s2)
-{
-    double dx,dy,adx,ady;
-    struct Edge *newedge;    
-
-    newedge = (struct Edge *) getfree(&efl);
-    
-    newedge -> reg[0] = s1; //store the sites that this edge is bisecting
-    newedge -> reg[1] = s2;
-    ref(s1); 
-    ref(s2);
-    newedge -> ep[0] = (struct Site *) NULL; //to begin with, there are no endpoints on the bisector - it goes to infinity
-    newedge -> ep[1] = (struct Site *) NULL;
-    
-    dx = s2->coord.x - s1->coord.x;            //get the difference in x dist between the sites
-    dy = s2->coord.y - s1->coord.y;
-    adx = dx>0 ? dx : -dx;                    //make sure that the difference in positive
-    ady = dy>0 ? dy : -dy;
-    newedge -> c = (double)(s1->coord.x * dx + s1->coord.y * dy + (dx*dx + dy*dy)*0.5);//get the slope of the line
-
-    if (adx>ady)
-    {    
-        newedge -> a = 1.0; newedge -> b = dy/dx; newedge -> c /= dx;//set formula of line, with x fixed to 1
-    }
-    else
-    {    
-        newedge -> b = 1.0; newedge -> a = dx/dy; newedge -> c /= dy;//set formula of line, with y fixed to 1
-    };
-    
-    newedge -> edgenbr = nedges;
-
-    //printf("\nbisect(%d) ((%f,%f) and (%f,%f)",nedges,s1->coord.x,s1->coord.y,s2->coord.x,s2->coord.y);
-    
-    nedges += 1;
-    return(newedge);
-}
-
-//create a new site where the HalfEdges el1 and el2 intersect - note that the Point in the argument list is not used, don't know why it's there
-struct Site * VoronoiDiagramGenerator::intersect(struct Halfedge *el1, struct Halfedge *el2, struct Point *p)
-{
-    struct    Edge *e1,*e2, *e;
-    struct  Halfedge *el;
-    double d, xint, yint;
-    int right_of_site;
-    struct Site *v;
-    
-    e1 = el1 -> ELedge;
-    e2 = el2 -> ELedge;
-    if(e1 == (struct Edge*)NULL || e2 == (struct Edge*)NULL) 
-        return ((struct Site *) NULL);
-
-    //if the two edges bisect the same parent, return null
-    if (e1->reg[1] == e2->reg[1]) 
-        return ((struct Site *) NULL);
-    
-    d = e1->a * e2->b - e1->b * e2->a;
-    if (-1.0e-10<d && d<1.0e-10) 
-        return ((struct Site *) NULL);
-    
-    xint = (e1->c*e2->b - e2->c*e1->b)/d;
-    yint = (e2->c*e1->a - e1->c*e2->a)/d;
-    
-    if( (e1->reg[1]->coord.y < e2->reg[1]->coord.y) ||
-        (e1->reg[1]->coord.y == e2->reg[1]->coord.y &&
-        e1->reg[1]->coord.x < e2->reg[1]->coord.x) )
-    {    
-        el = el1; 
-        e = e1;
-    }
-    else
-    {    
-        el = el2; 
-        e = e2;
-    };
-    
-    right_of_site = xint >= e -> reg[1] -> coord.x;
-    if ((right_of_site && el -> ELpm == le) || (!right_of_site && el -> ELpm == re)) 
-        return ((struct Site *) NULL);
-    
-    //create a new site at the point of intersection - this is a new vector event waiting to happen
-    v = (struct Site *) getfree(&sfl);
-    v -> refcnt = 0;
-    v -> coord.x = xint;
-    v -> coord.y = yint;
-    return(v);
-}
-
-/* returns 1 if p is to right of halfedge e */
-int VoronoiDiagramGenerator::right_of(struct Halfedge *el,struct Point *p)
-{
-    struct Edge *e;
-    struct Site *topsite;
-    int right_of_site, above, fast;
-    double dxp, dyp, dxs, t1, t2, t3, yl;
-    
-    e = el -> ELedge;
-    topsite = e -> reg[1];
-    right_of_site = p -> x > topsite -> coord.x;
-    if(right_of_site && el -> ELpm == le) return(1);
-    if(!right_of_site && el -> ELpm == re) return (0);
-    
-    if (e->a == 1.0)
-    {    dyp = p->y - topsite->coord.y;
-    dxp = p->x - topsite->coord.x;
-    fast = 0;
-    if ((!right_of_site & (e->b<0.0)) | (right_of_site & (e->b>=0.0)) )
-    {    above = dyp>= e->b*dxp;    
-    fast = above;
-    }
-    else 
-    {    above = p->x + p->y*e->b > e-> c;
-    if(e->b<0.0) above = !above;
-    if (!above) fast = 1;
-    };
-    if (!fast)
-    {    dxs = topsite->coord.x - (e->reg[0])->coord.x;
-    above = e->b * (dxp*dxp - dyp*dyp) <
-        dxs*dyp*(1.0+2.0*dxp/dxs + e->b*e->b);
-    if(e->b<0.0) above = !above;
-    };
-    }
-    else  /*e->b==1.0 */
-    {    yl = e->c - e->a*p->x;
-    t1 = p->y - yl;
-    t2 = p->x - topsite->coord.x;
-    t3 = yl - topsite->coord.y;
-    above = t1*t1 > t2*t2 + t3*t3;
-    };
-    return (el->ELpm==le ? above : !above);
-}
-
-
-void VoronoiDiagramGenerator::endpoint(struct Edge *e,int lr,struct Site * s)
-{
-    e -> ep[lr] = s;
-    ref(s);
-    if(e -> ep[re-lr]== (struct Site *) NULL) 
-        return;
-
-    clip_line(e);
-
-    deref(e->reg[le]);
-    deref(e->reg[re]);
-    makefree((Freenode*)e, &efl);
-}
-
-
-double VoronoiDiagramGenerator::dist(struct Site *s,struct Site *t)
-{
-    double dx,dy;
-    dx = s->coord.x - t->coord.x;
-    dy = s->coord.y - t->coord.y;
-    return (double)(sqrt(dx*dx + dy*dy));
-}
-
-
-void VoronoiDiagramGenerator::makevertex(struct Site *v)
-{
-    v -> sitenbr = nvertices;
-    nvertices += 1;
-    out_vertex(v);
-}
-
-
-void VoronoiDiagramGenerator::deref(struct Site *v)
-{
-    v -> refcnt -= 1;
-    if (v -> refcnt == 0 ) 
-        makefree((Freenode*)v, &sfl);
-}
-
-void VoronoiDiagramGenerator::ref(struct Site *v)
-{
-    v -> refcnt += 1;
-}
-
-//push the HalfEdge into the ordered linked list of vertices
-void VoronoiDiagramGenerator::PQinsert(struct Halfedge *he,struct Site * v, double offset)
-{
-    struct Halfedge *last, *next;
-    
-    he -> vertex = v;
-    ref(v);
-    he -> ystar = (double)(v -> coord.y + offset);
-    last = &PQhash[PQbucket(he)];
-    while ((next = last -> PQnext) != (struct Halfedge *) NULL &&
-        (he -> ystar  > next -> ystar  ||
-        (he -> ystar == next -> ystar && v -> coord.x > next->vertex->coord.x)))
-    {    
-        last = next;
-    };
-    he -> PQnext = last -> PQnext; 
-    last -> PQnext = he;
-    PQcount += 1;
-}
-
-//remove the HalfEdge from the list of vertices 
-void VoronoiDiagramGenerator::PQdelete(struct Halfedge *he)
-{
-    struct Halfedge *last;
-    
-    if(he -> vertex != (struct Site *) NULL)
-    {    
-        last = &PQhash[PQbucket(he)];
-        while (last -> PQnext != he) 
-            last = last -> PQnext;
-
-        last -> PQnext = he -> PQnext;
-        PQcount -= 1;
-        deref(he -> vertex);
-        he -> vertex = (struct Site *) NULL;
-    };
-}
-
-int VoronoiDiagramGenerator::PQbucket(struct Halfedge *he)
-{
-    int bucket;
-    
-    bucket = (int)((he->ystar - ymin)/deltay * PQhashsize);
-    if (bucket<0) bucket = 0;
-    if (bucket>=PQhashsize) bucket = PQhashsize-1 ;
-    if (bucket < PQmin) PQmin = bucket;
-    return(bucket);
-}
-
-
-
-int VoronoiDiagramGenerator::PQempty()
-{
-    return(PQcount==0);
-}
-
-
-struct Point VoronoiDiagramGenerator::PQ_min()
-{
-    struct Point answer;
-    
-    while(PQhash[PQmin].PQnext == (struct Halfedge *)NULL) {PQmin += 1;};
-    answer.x = PQhash[PQmin].PQnext -> vertex -> coord.x;
-    answer.y = PQhash[PQmin].PQnext -> ystar;
-    return (answer);
-}
-
-struct Halfedge * VoronoiDiagramGenerator::PQextractmin()
-{
-    struct Halfedge *curr;
-    
-    curr = PQhash[PQmin].PQnext;
-    PQhash[PQmin].PQnext = curr -> PQnext;
-    PQcount -= 1;
-    return(curr);
-}
-
-
-bool VoronoiDiagramGenerator::PQinitialize()
-{
-    int i; 
-    
-    PQcount = 0;
-    PQmin = 0;
-    PQhashsize = 4 * sqrt_nsites;
-    PQhash = (struct Halfedge *) myalloc(PQhashsize * sizeof *PQhash);
-
-    if(PQhash == 0)
-        return false;
-
-    for(i=0; i<PQhashsize; i+=1) PQhash[i].PQnext = (struct Halfedge *)NULL;
-
-    return true;
-}
-
-
-void VoronoiDiagramGenerator::freeinit(struct Freelist *fl,int size)
-{
-    fl -> head = (struct Freenode *) NULL;
-    fl -> nodesize = size;
-}
-
-char * VoronoiDiagramGenerator::getfree(struct Freelist *fl)
-{
-    int i; 
-    struct Freenode *t;
-
-    if(fl->head == (struct Freenode *) NULL)
-    {    
-        t =  (struct Freenode *) myalloc(sqrt_nsites * fl->nodesize);
-
-        if(t == 0)
-            return 0;
-        
-        currentMemoryBlock->next = new FreeNodeArrayList;
-        currentMemoryBlock = currentMemoryBlock->next;
-        currentMemoryBlock->memory = t;
-        currentMemoryBlock->next = 0;
-
-        for(i=0; i<sqrt_nsites; i+=1)     
-            makefree((struct Freenode *)((char *)t+i*fl->nodesize), fl);        
-    };
-    t = fl -> head;
-    fl -> head = (fl -> head) -> nextfree;
-    return((char *)t);
-}
-
-
-
-void VoronoiDiagramGenerator::makefree(struct Freenode *curr,struct Freelist *fl)
-{
-    curr -> nextfree = fl -> head;
-    fl -> head = curr;
-}
-
-void VoronoiDiagramGenerator::cleanup()
-{
-    if(sites != 0)
-    {
-        free(sites);
-        sites = 0;
-    }
-
-    FreeNodeArrayList* current=0, *prev = 0;
-
-    current = prev = allMemoryList;
-
-    while(current->next != 0)
-    {
-        prev = current;
-        current = current->next;
-        free(prev->memory);
-        delete prev;
-        prev = 0;
-    }
-
-    if(current != 0 && current->memory != 0)
-    {
-        free(current->memory);
-        delete current;
-    }
-
-    allMemoryList = new FreeNodeArrayList;
-    allMemoryList->next = 0;
-    allMemoryList->memory = 0;
-    currentMemoryBlock = allMemoryList;
-}
-
-void VoronoiDiagramGenerator::cleanupEdges()
-{
-    GraphEdge* geCurrent = 0, *gePrev = 0;
-    geCurrent = gePrev = allEdges;
-
-    while(geCurrent != 0 && geCurrent->next != 0)
-    {
-        gePrev = geCurrent;
-        geCurrent = geCurrent->next;
-        delete gePrev;
-    }
-
-    allEdges = 0;
-
-}
-
-void VoronoiDiagramGenerator::cleanupEdgeList()
-{
-    EdgeList* elCurrent = 0, *elPrev = 0;
-    elCurrent = elPrev = allEdgeList;
-
-    while (elCurrent != 0 && elCurrent->next != 0)
-    {
-        elPrev = elCurrent;
-        elCurrent = elCurrent->next;
-        delete elPrev;
-    }
-
-    allEdgeList = 0;
-}
-
-void VoronoiDiagramGenerator::pushGraphEdge(double x1, double y1, double x2, double y2)
-{
-    GraphEdge* newEdge = new GraphEdge;
-    newEdge->next = allEdges;
-    allEdges = newEdge;
-    newEdge->x1 = x1;
-    newEdge->y1 = y1;
-    newEdge->x2 = x2;
-    newEdge->y2 = y2;
-}
-
-void VoronoiDiagramGenerator::pushEdgeList(Edge *e)
-{
-    EdgeList* newEdge = new EdgeList;
-    newEdge->next = allEdgeList;
-    allEdgeList = newEdge;
-    newEdge->a = e->a;
-    newEdge->b = e->b;
-    newEdge->c = e->c;
-    if (e->ep[0]) {
-        newEdge->ep0nbr = e->ep[0]->sitenbr;
-        newEdge->ep0x = e->ep[0]->coord.x;
-        newEdge->ep0y = e->ep[0]->coord.y;
-    } else {
-        newEdge->ep0nbr = -1;
-    }
-    if (e->ep[1]) {
-        newEdge->ep1nbr = e->ep[1]->sitenbr;
-        newEdge->ep1x = e->ep[1]->coord.x;
-        newEdge->ep1y = e->ep[1]->coord.y;
-    } else {
-        newEdge->ep1nbr = -1;
-    }
-    newEdge->reg0nbr = e->reg[0]->sitenbr;
-    newEdge->reg1nbr = e->reg[1]->sitenbr;
-    newEdge->edgenbr = e->edgenbr;
-}
-
-char * VoronoiDiagramGenerator::myalloc(unsigned n)
-{
-    char *t=0;    
-    t=(char*)malloc(n);
-    total_alloc += n;
-    return(t);
-}
-
-
-/* for those who don't have Cherry's plot */
-/* #include <plot.h> */
-void VoronoiDiagramGenerator::openpl(){}
-void VoronoiDiagramGenerator::line(double x1, double y1, double x2, double y2)
-{    
-    pushGraphEdge(x1,y1,x2,y2);
-
-}
-void VoronoiDiagramGenerator::circle(double x, double y, double radius){}
-void VoronoiDiagramGenerator::range(double minX, double minY, double maxX, double maxY){}
-
-
-
-void VoronoiDiagramGenerator::out_bisector(struct Edge *e)
-{
-    
-
-}
-
-
-void VoronoiDiagramGenerator::out_ep(struct Edge *e)
-{
-    
-    
-}
-
-void VoronoiDiagramGenerator::out_vertex(struct Site *v)
-{
-    
-}
-
-
-void VoronoiDiagramGenerator::out_site(struct Site *s)
-{
-    if(!triangulate & plot & !debug)
-        circle (s->coord.x, s->coord.y, cradius);
-    
-}
-
-
-void VoronoiDiagramGenerator::out_triple(struct Site *s1, struct Site *s2,struct Site * s3)
-{
-    
-}
-
-
-
-void VoronoiDiagramGenerator::plotinit()
-{
-//    double dx,dy,d;
-//    
-//    dy = ymax - ymin;
-//    dx = xmax - xmin;
-//    d = (double)(( dx > dy ? dx : dy) * 1.1);
-//    pxmin = (double)(xmin - (d-dx)/2.0);
-//    pxmax = (double)(xmax + (d-dx)/2.0);
-//    pymin = (double)(ymin - (d-dy)/2.0);
-//    pymax = (double)(ymax + (d-dy)/2.0);
-//    cradius = (double)((pxmax - pxmin)/350.0);
-//    openpl();
-//    range(pxmin, pymin, pxmax, pymax);
-}
-
-
-void VoronoiDiagramGenerator::clip_line(struct Edge *e)
-{
-//    struct Site *s1, *s2;
-//    double x1=0,x2=0,y1=0,y2=0;
-
-    pushEdgeList(e);
-
-//    x1 = e->reg[0]->coord.x;
-//    x2 = e->reg[1]->coord.x;
-//    y1 = e->reg[0]->coord.y;
-//    y2 = e->reg[1]->coord.y;
-//
-//    //if the distance between the two points this line was created from is less than 
-//    //the square root of 2, then ignore it
-//    if(sqrt(((x2 - x1) * (x2 - x1)) + ((y2 - y1) * (y2 - y1))) < minDistanceBetweenSites)
-//    {
-//        return;
-//    }
-//    pxmin = borderMinX;
-//    pxmax = borderMaxX;
-//    pymin = borderMinY;
-//    pymax = borderMaxY;
-//
-//    if(e -> a == 1.0 && e ->b >= 0.0)
-//    {    
-//        s1 = e -> ep[1];
-//        s2 = e -> ep[0];
-//    }
-//    else 
-//    {
-//        s1 = e -> ep[0];
-//        s2 = e -> ep[1];
-//    };
-//    
-//    if(e -> a == 1.0)
-//    {
-//        y1 = pymin;
-//        if (s1!=(struct Site *)NULL && s1->coord.y > pymin)
-//        {
-//            y1 = s1->coord.y;
-//        }
-//        if(y1>pymax) 
-//        {
-//        //    printf("\nClipped (1) y1 = %f to %f",y1,pymax);
-//            y1 = pymax;
-//            //return;
-//        }
-//        x1 = e -> c - e -> b * y1;
-//        y2 = pymax;
-//        if (s2!=(struct Site *)NULL && s2->coord.y < pymax) 
-//            y2 = s2->coord.y;
-//
-//        if(y2<pymin) 
-//        {
-//            //printf("\nClipped (2) y2 = %f to %f",y2,pymin);
-//            y2 = pymin;
-//            //return;
-//        }
-//        x2 = (e->c) - (e->b) * y2;
-//        if (((x1> pxmax) & (x2>pxmax)) | ((x1<pxmin)&(x2<pxmin))) 
-//        {
-//            //printf("\nClipLine jumping out(3), x1 = %f, pxmin = %f, pxmax = %f",x1,pxmin,pxmax);
-//            return;
-//        }
-//        if(x1> pxmax)
-//        {    x1 = pxmax; y1 = (e -> c - x1)/e -> b;};
-//        if(x1<pxmin)
-//        {    x1 = pxmin; y1 = (e -> c - x1)/e -> b;};
-//        if(x2>pxmax)
-//        {    x2 = pxmax; y2 = (e -> c - x2)/e -> b;};
-//        if(x2<pxmin)
-//        {    x2 = pxmin; y2 = (e -> c - x2)/e -> b;};
-//    }
-//    else
-//    {
-//        x1 = pxmin;
-//        if (s1!=(struct Site *)NULL && s1->coord.x > pxmin) 
-//            x1 = s1->coord.x;
-//        if(x1>pxmax) 
-//        {
-//            //printf("\nClipped (3) x1 = %f to %f",x1,pxmin);
-//            //return;
-//            x1 = pxmax;
-//        }
-//        y1 = e -> c - e -> a * x1;
-//        x2 = pxmax;
-//        if (s2!=(struct Site *)NULL && s2->coord.x < pxmax) 
-//            x2 = s2->coord.x;
-//        if(x2<pxmin) 
-//        {
-//            //printf("\nClipped (4) x2 = %f to %f",x2,pxmin);
-//            //return;
-//            x2 = pxmin;
-//        }
-//        y2 = e -> c - e -> a * x2;
-//        if (((y1> pymax) & (y2>pymax)) | ((y1<pymin)&(y2<pymin))) 
-//        {
-//            //printf("\nClipLine jumping out(6), y1 = %f, pymin = %f, pymax = %f",y2,pymin,pymax);
-//            return;
-//        }
-//        if(y1> pymax)
-//        {    y1 = pymax; x1 = (e -> c - y1)/e -> a;};
-//        if(y1<pymin)
-//        {    y1 = pymin; x1 = (e -> c - y1)/e -> a;};
-//        if(y2>pymax)
-//        {    y2 = pymax; x2 = (e -> c - y2)/e -> a;};
-//        if(y2<pymin)
-//        {    y2 = pymin; x2 = (e -> c - y2)/e -> a;};
-//    };
-//    
-//    //printf("\nPushing line (%f,%f,%f,%f)",x1,y1,x2,y2);
-//    line(x1,y1,x2,y2);
-}
-
-
-/* implicit parameters: nsites, sqrt_nsites, xmin, xmax, ymin, ymax,
-deltax, deltay (can all be estimates).
-Performance suffers if they are wrong; better to make nsites,
-deltax, and deltay too big than too small.  (?) */
-
-bool VoronoiDiagramGenerator::voronoi(int triangulate)
-{
-    struct Site *newsite, *bot, *top, *temp, *p;
-    struct Site *v;
-    struct Point newintstar;
-    int pm;
-    struct Halfedge *lbnd, *rbnd, *llbnd, *rrbnd, *bisector;
-    struct Edge *e;
-    
-    PQinitialize();
-    bottomsite = nextone();
-    out_site(bottomsite);
-    bool retval = ELinitialize();
-
-    if(!retval)
-        return false;
-    
-    newsite = nextone();
-    while(1)
-    {
-
-        if(!PQempty()) 
-            newintstar = PQ_min();
-        
-        //if the lowest site has a smaller y value than the lowest vector intersection, process the site
-        //otherwise process the vector intersection        
-
-        if (newsite != (struct Site *)NULL     && (PQempty() || newsite -> coord.y < newintstar.y
-            || (newsite->coord.y == newintstar.y && newsite->coord.x < newintstar.x)))
-        {/* new site is smallest - this is a site event*/
-            out_site(newsite);                        //output the site
-            lbnd = ELleftbnd(&(newsite->coord));                //get the first HalfEdge to the LEFT of the new site
-            rbnd = ELright(lbnd);                        //get the first HalfEdge to the RIGHT of the new site
-            bot = rightreg(lbnd);                        //if this halfedge has no edge, , bot = bottom site (whatever that is)
-            e = bisect(bot, newsite);                    //create a new edge that bisects 
-            bisector = HEcreate(e, le);                    //create a new HalfEdge, setting its ELpm field to 0            
-            ELinsert(lbnd, bisector);                    //insert this new bisector edge between the left and right vectors in a linked list    
-
-            if ((p = intersect(lbnd, bisector)) != (struct Site *) NULL)     //if the new bisector intersects with the left edge, remove the left edge's vertex, and put in the new one
-            {    
-                PQdelete(lbnd);
-                PQinsert(lbnd, p, dist(p,newsite));
-            };
-            lbnd = bisector;                        
-            bisector = HEcreate(e, re);                    //create a new HalfEdge, setting its ELpm field to 1
-            ELinsert(lbnd, bisector);                    //insert the new HE to the right of the original bisector earlier in the IF stmt
-
-            if ((p = intersect(bisector, rbnd)) != (struct Site *) NULL)    //if this new bisector intersects with the
-            {    
-                PQinsert(bisector, p, dist(p,newsite));            //push the HE into the ordered linked list of vertices
-            };
-            newsite = nextone();    
-        }
-        else if (!PQempty()) /* intersection is smallest - this is a vector event */            
-        {    
-            lbnd = PQextractmin();                        //pop the HalfEdge with the lowest vector off the ordered list of vectors                
-            llbnd = ELleft(lbnd);                        //get the HalfEdge to the left of the above HE
-            rbnd = ELright(lbnd);                        //get the HalfEdge to the right of the above HE
-            rrbnd = ELright(rbnd);                        //get the HalfEdge to the right of the HE to the right of the lowest HE 
-            bot = leftreg(lbnd);                        //get the Site to the left of the left HE which it bisects
-            top = rightreg(rbnd);                        //get the Site to the right of the right HE which it bisects
-
-            out_triple(bot, top, rightreg(lbnd));        //output the triple of sites, stating that a circle goes through them
-
-            v = lbnd->vertex;                        //get the vertex that caused this event
-            makevertex(v);                            //set the vertex number - couldn't do this earlier since we didn't know when it would be processed
-            endpoint(lbnd->ELedge,lbnd->ELpm,v);    //set the endpoint of the left HalfEdge to be this vector
-            endpoint(rbnd->ELedge,rbnd->ELpm,v);    //set the endpoint of the right HalfEdge to be this vector
-            ELdelete(lbnd);                            //mark the lowest HE for deletion - can't delete yet because there might be pointers to it in Hash Map    
-            PQdelete(rbnd);                            //remove all vertex events to do with the  right HE
-            ELdelete(rbnd);                            //mark the right HE for deletion - can't delete yet because there might be pointers to it in Hash Map    
-            pm = le;                                //set the pm variable to zero
-            
-            if (bot->coord.y > top->coord.y)        //if the site to the left of the event is higher than the Site
-            {                                        //to the right of it, then swap them and set the 'pm' variable to 1
-                temp = bot; 
-                bot = top; 
-                top = temp; 
-                pm = re;
-            }
-            e = bisect(bot, top);                    //create an Edge (or line) that is between the two Sites. This creates
-                                                    //the formula of the line, and assigns a line number to it
-            bisector = HEcreate(e, pm);                //create a HE from the Edge 'e', and make it point to that edge with its ELedge field
-            ELinsert(llbnd, bisector);                //insert the new bisector to the right of the left HE
-            endpoint(e, re-pm, v);                    //set one endpoint to the new edge to be the vector point 'v'.
-                                                    //If the site to the left of this bisector is higher than the right
-                                                    //Site, then this endpoint is put in position 0; otherwise in pos 1
-            deref(v);                                //delete the vector 'v'
-
-            //if left HE and the new bisector don't intersect, then delete the left HE, and reinsert it 
-            if((p = intersect(llbnd, bisector)) != (struct Site *) NULL)
-            {    
-                PQdelete(llbnd);
-                PQinsert(llbnd, p, dist(p,bot));
-            };
-
-            //if right HE and the new bisector don't intersect, then reinsert it 
-            if ((p = intersect(bisector, rrbnd)) != (struct Site *) NULL)
-            {    
-                PQinsert(bisector, p, dist(p,bot));
-            };
-        }
-        else break;
-    };
-
-    
-
-
-    for(lbnd=ELright(ELleftend); lbnd != ELrightend; lbnd=ELright(lbnd))
-    {    
-        e = lbnd -> ELedge;
-
-        clip_line(e);
-
-    };
-
-    cleanup();
-
-    return true;
-    
-}
-
-
-int scomp(const void *p1,const void *p2)
-{
-    struct Point *s1 = (Point*)p1, *s2=(Point*)p2;
-    if(s1 -> y < s2 -> y) return(-1);
-    if(s1 -> y > s2 -> y) return(1);
-    if(s1 -> x < s2 -> x) return(-1);
-    if(s1 -> x > s2 -> x) return(1);
-    return(0);
-}
-
-/* return a single in-storage site */
-struct Site * VoronoiDiagramGenerator::nextone()
-{
-    struct Site *s;
-    if(siteidx < nsites)
-    {    
-        s = &sites[siteidx];
-        siteidx += 1;
-        return(s);
-    }
-    else    
-        return( (struct Site *)NULL);
-}
-
-bool VoronoiDiagramGenerator::getNextDelaunay(int& ep0, double& ep0x, double& ep0y, 
-                     int& ep1, double& ep1x, double& ep1y,
-                     int& reg0, int& reg1)
-{
-    if (iterEdgeList == 0)
-        return false;
-
-    ep0 = iterEdgeList->ep0nbr;
-    ep0x = iterEdgeList->ep0x;
-    ep0y = iterEdgeList->ep0y;
-    ep1 = iterEdgeList->ep1nbr;
-    ep1x = iterEdgeList->ep1x;
-    ep1y = iterEdgeList->ep1y;
-    reg0 = iterEdgeList->reg0nbr;
-    reg1 = iterEdgeList->reg1nbr;
-
-    iterEdgeList = iterEdgeList->next;
-    
-    return true;
-}
-
-//PyObject* VoronoiDiagramGenerator::_getMesh()
-//{
-//    PyObject *vlist, *dlist, *tlist;
-//    PyObject *temp, *faces, *face;
-//    int tri0, tri1, reg0, reg1;
-//    double tri0x, tri0y, tri1x, tri1y;
-//    int length, numtri, i;
-//
-//    length = nedges;
-//    numtri = nvertices;
-//
-//    dlist = PyList_New(length);
-//    if (!dlist) goto fail;
-//    vlist = PyList_New(numtri);
-//    if (!vlist) goto fail;
-//    tlist = PyList_New(numtri);
-//    if (!tlist) goto fail;
-//
-//    for (i=0; i<numtri; i++) {
-//        faces = PyList_New(0);
-//        if (!faces) goto fail;
-//        PyList_SET_ITEM(tlist, i, faces);
-//    }
-//
-//    resetEdgeListIter();
-//    i = -1;
-//    while (getNextDelaunay(tri0, tri0x, tri0y, tri1, tri1x, tri1y, reg0, reg1)) {
-//        i++;
-//        face = Py_BuildValue("(ii)", reg0, reg1);
-//        if (!face) goto fail;
-//        PyList_SET_ITEM(dlist, i, face);
-//        if (tri0 > -1) {
-//            temp = PyList_GET_ITEM(vlist, tri0);
-//            if (!temp) {
-//                temp = Py_BuildValue("(dd)", tri0x, tri0y);
-//                PyList_SET_ITEM(vlist, tri0, temp);
-//            }
-//            faces = PyList_GET_ITEM(tlist, tri0);
-//            if (PyList_Append(faces, face) < 0) goto fail;
-//        }
-//        if (tri1 > -1) {
-//            temp = PyList_GET_ITEM(vlist, tri1);
-//            if (!temp) {
-//                temp = Py_BuildValue("(dd)", tri1x, tri1y);
-//                PyList_SET_ITEM(vlist, tri1, temp);
-//            }
-//            faces = PyList_GET_ITEM(tlist, tri1);
-//            if (PyList_Append(faces, face) < 0) goto fail;
-//        }
-//    }
-//
-//    temp = PyTuple_Pack(3, vlist, dlist, tlist);
-//    if (!temp) goto fail;
-//
-//    Py_DECREF(vlist);
-//    Py_DECREF(dlist);
-//    Py_DECREF(tlist);
-//
-//    return temp;
-//
-//fail:
-//    Py_XDECREF(vlist);
-//    Py_XDECREF(dlist);
-//    Py_XDECREF(temp);
-//    Py_XDECREF(faces);
-//    Py_XDECREF(face);
-//    return NULL;
-//}
-
-
diff --git a/lib/matplotlib/delaunay/VoronoiDiagramGenerator.h b/lib/matplotlib/delaunay/VoronoiDiagramGenerator.h
deleted file mode 100644
index 4d6e6fcf75c0..000000000000
--- a/lib/matplotlib/delaunay/VoronoiDiagramGenerator.h
+++ /dev/null
@@ -1,283 +0,0 @@
-/*
-* The author of this software is Steven Fortune.  Copyright (c) 1994 by AT&T
-* Bell Laboratories.
-* Permission to use, copy, modify, and distribute this software for any
-* purpose without fee is hereby granted, provided that this entire notice
-* is included in all copies of any software which is or includes a copy
-* or modification of this software and in all copies of the supporting
-* documentation for such software.
-* THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR IMPLIED
-* WARRANTY.  IN PARTICULAR, NEITHER THE AUTHORS NOR AT&T MAKE ANY
-* REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE MERCHANTABILITY
-* OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR PURPOSE.
-*/
-
-/* 
-* This code was originally written by Stephan Fortune in C code.  I, Shane O'Sullivan, 
-* have since modified it, encapsulating it in a C++ class and, fixing memory leaks and 
-* adding accessors to the Voronoi Edges.
-* Permission to use, copy, modify, and distribute this software for any
-* purpose without fee is hereby granted, provided that this entire notice
-* is included in all copies of any software which is or includes a copy
-* or modification of this software and in all copies of the supporting
-* documentation for such software.
-* THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR IMPLIED
-* WARRANTY.  IN PARTICULAR, NEITHER THE AUTHORS NOR AT&T MAKE ANY
-* REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE MERCHANTABILITY
-* OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR PURPOSE.
-*/
-
-#ifndef VORONOI_DIAGRAM_GENERATOR
-#define VORONOI_DIAGRAM_GENERATOR
-
-#include "Python.h"
-#include "numpy/arrayobject.h"
-
-#include <math.h>
-#include <stdlib.h>
-#include <string.h>
-#include <iostream>
-
-
-#ifndef NULL
-#define NULL 0
-#endif
-#define DELETED -2
-
-#define le 0
-#define re 1
-
-#ifndef MAX
-#define MAX(x, y) (x > y ? x: y)
-#endif
-
-struct Freenode    
-{
-    struct Freenode *nextfree;
-};
-
-struct FreeNodeArrayList
-{
-    struct Freenode* memory;
-    struct FreeNodeArrayList* next;
-
-};
-
-struct Freelist    
-{
-    struct Freenode *head;
-    int nodesize;
-};
-
-struct Point    
-{
-    double x,y;
-};
-
-// structure used both for sites and for vertices 
-struct Site    
-{
-    struct Point coord;
-    int sitenbr;
-    int refcnt;
-};
-
-
-
-struct Edge    
-{
-    double a,b,c;
-    struct Site *ep[2];
-    struct Site *reg[2];
-    int edgenbr;
-};
-
-struct EdgeList 
-{
-    double a,b,c;
-    int ep0nbr;
-    double ep0x, ep0y;
-    int ep1nbr;
-    double ep1x, ep1y;
-    int reg0nbr;
-    int reg1nbr;
-    int edgenbr;
-    struct EdgeList *next;
-};
-
-struct GraphEdge
-{
-    double x1,y1,x2,y2;
-    struct GraphEdge* next;
-};
-
-
-
-
-struct Halfedge 
-{
-    struct Halfedge *ELleft, *ELright;
-    struct Edge *ELedge;
-    int ELrefcnt;
-    char ELpm;
-    struct Site *vertex;
-    double ystar;
-    struct Halfedge *PQnext;
-};
-
-
-
-
-class VoronoiDiagramGenerator
-{
-public:
-    VoronoiDiagramGenerator();
-    ~VoronoiDiagramGenerator();
-
-    bool generateVoronoi(double *xValues, double *yValues, int numPoints, double minX, double maxX, double minY, double maxY, double minDist=0);
-
-    void resetIterator()
-    {
-        iteratorEdges = allEdges;
-    }
-
-    bool getNext(double& x1, double& y1, double& x2, double& y2)
-    {
-        if(iteratorEdges == 0)
-            return false;
-        
-        x1 = iteratorEdges->x1;
-        x2 = iteratorEdges->x2;
-        y1 = iteratorEdges->y1;
-        y2 = iteratorEdges->y2;
-
-        iteratorEdges = iteratorEdges->next;
-
-        return true;
-    }
-
-    void resetEdgeListIter()
-    {
-        iterEdgeList = allEdgeList;
-    }
-
-    bool getNextDelaunay(int& ep0, double& ep0x, double& ep0y, 
-                         int& ep1, double& ep1x, double& ep1y,
-                         int& reg0, int& reg1);
-
-    void getNumbers(int& edges, int& vertices) {
-        edges = nedges;
-        vertices = nvertices;
-    }
-
-private:
-    void cleanup();
-    void cleanupEdgeList();
-    void cleanupEdges();
-    char *getfree(struct Freelist *fl);    
-    struct Halfedge *PQfind();
-    int PQempty();
-
-    
-    struct Halfedge **ELhash;
-    struct Halfedge *HEcreate(), *ELleft(), *ELright(), *ELleftbnd();
-    struct Halfedge *HEcreate(struct Edge *e,int pm);
-
-
-    struct Point PQ_min();
-    struct Halfedge *PQextractmin();    
-    void freeinit(struct Freelist *fl,int size);
-    void makefree(struct Freenode *curr,struct Freelist *fl);
-    void geominit();
-    void plotinit();
-    bool voronoi(int triangulate);
-    void ref(struct Site *v);
-    void deref(struct Site *v);
-    void endpoint(struct Edge *e,int lr,struct Site * s);
-
-    void ELdelete(struct Halfedge *he);
-    struct Halfedge *ELleftbnd(struct Point *p);
-    struct Halfedge *ELright(struct Halfedge *he);
-    void makevertex(struct Site *v);
-    void out_triple(struct Site *s1, struct Site *s2,struct Site * s3);
-
-    void PQinsert(struct Halfedge *he,struct Site * v, double offset);
-    void PQdelete(struct Halfedge *he);
-    bool ELinitialize();
-    void ELinsert(struct Halfedge *lb, struct Halfedge *newHe);
-    struct Halfedge *ELgethash(int b);
-    struct Halfedge *ELleft(struct Halfedge *he);
-    struct Site *leftreg(struct Halfedge *he);
-    void out_site(struct Site *s);
-    bool PQinitialize();
-    int PQbucket(struct Halfedge *he);
-    void clip_line(struct Edge *e);
-    char *myalloc(unsigned n);
-    int right_of(struct Halfedge *el,struct Point *p);
-
-    struct Site *rightreg(struct Halfedge *he);
-    struct Edge *bisect(struct Site *s1, struct Site *s2);
-    double dist(struct Site *s,struct Site *t);
-    struct Site *intersect(struct Halfedge *el1, struct Halfedge *el2, struct Point *p=0);
-
-    void out_bisector(struct Edge *e);
-    void out_ep(struct Edge *e);
-    void out_vertex(struct Site *v);
-    struct Site *nextone();
-
-    void pushGraphEdge(double x1, double y1, double x2, double y2);
-    void pushEdgeList(Edge *e);
-
-    void openpl();
-    void line(double x1, double y1, double x2, double y2);
-    void circle(double x, double y, double radius);
-    void range(double minX, double minY, double maxX, double maxY);
-
-
-    struct Freelist hfl;
-    struct Halfedge *ELleftend, *ELrightend;
-    int ELhashsize;
-
-    int triangulate, sorted, plot, debug;
-    double xmin, xmax, ymin, ymax, deltax, deltay;
-
-    struct Site *sites;
-    int nsites;
-    int siteidx;
-    int sqrt_nsites;
-    int nvertices;
-    struct Freelist sfl;
-    struct Site *bottomsite;
-
-    int nedges;
-    struct Freelist efl;
-    int PQhashsize;
-    struct Halfedge *PQhash;
-    int PQcount;
-    int PQmin;
-
-    int ntry, totalsearch;
-    double pxmin, pxmax, pymin, pymax, cradius;
-    int total_alloc;
-
-    double borderMinX, borderMaxX, borderMinY, borderMaxY;
-
-    FreeNodeArrayList* allMemoryList;
-    FreeNodeArrayList* currentMemoryBlock;
-
-    GraphEdge* allEdges;
-    GraphEdge* iteratorEdges;
-
-    EdgeList* allEdgeList;
-    EdgeList* iterEdgeList;
-
-    double minDistanceBetweenSites;
-    
-};
-
-int scomp(const void *p1, const void *p2);
-
-
-#endif
-
-
diff --git a/lib/matplotlib/delaunay/__init__.py b/lib/matplotlib/delaunay/__init__.py
deleted file mode 100644
index 450fca84e32f..000000000000
--- a/lib/matplotlib/delaunay/__init__.py
+++ /dev/null
@@ -1,16 +0,0 @@
-"""Delaunay triangulation and interpolation tools.
-
-:Author: Robert Kern <robert.kern@gmail.com>
-:Copyright: Copyright 2005 Robert Kern.
-:License: BSD-style license. See LICENSE.txt in the scipy source directory.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib._delaunay import delaunay
-from .triangulate import *
-from .interpolate import *
-__version__ = "0.2"
diff --git a/lib/matplotlib/delaunay/_delaunay.cpp b/lib/matplotlib/delaunay/_delaunay.cpp
deleted file mode 100644
index 12e60c837166..000000000000
--- a/lib/matplotlib/delaunay/_delaunay.cpp
+++ /dev/null
@@ -1,786 +0,0 @@
-#include "Python.h"
-#include <stdlib.h>
-#include <map>
-#include <iostream>
-
-#include "VoronoiDiagramGenerator.h"
-#include "delaunay_utils.h"
-#include "natneighbors.h"
-#include "numpy/ndarrayobject.h"
-
-// support numpy 1.6 - this macro got renamed and deprecated at once in 1.7
-#ifndef NPY_ARRAY_IN_ARRAY
-#define NPY_ARRAY_IN_ARRAY NPY_IN_ARRAY
-#endif
-
-using namespace std;
-
-extern "C" {
-
-static void reorder_edges(int npoints, int ntriangles,
-    double *x, double *y,
-    int *edge_db, int *tri_edges, int *tri_nbrs)
-{
-    int neighbors[3], nodes[3];
-    int i, tmp;
-    int case1, case2;
-
-    for (i=0; i<ntriangles; i++) {
-        nodes[0] = INDEX2(edge_db, INDEX3(tri_edges,i,0), 0);
-        nodes[1] = INDEX2(edge_db, INDEX3(tri_edges,i,0), 1);
-        tmp = INDEX2(edge_db, INDEX3(tri_edges,i,1), 0);
-        if (tmp == nodes[0]) {
-            case1 = 1;
-            nodes[2] = INDEX2(edge_db, INDEX3(tri_edges,i,1), 1);
-        } else if (tmp == nodes[1]) {
-            case1 = 0;
-            nodes[2] = INDEX2(edge_db, INDEX3(tri_edges,i,1), 1);
-        } else if (INDEX2(edge_db, INDEX3(tri_edges,i,1), 1) == nodes[0]) {
-            case1 = 1;
-            nodes[2] = tmp;
-        } else {
-            case1 = 0;
-            nodes[2] = tmp;
-        }
-
-        if (ONRIGHT(x[nodes[0]], y[nodes[0]],
-                    x[nodes[1]], y[nodes[1]],
-                    x[nodes[2]], y[nodes[2]])) {
-            // flip to make counter-clockwise
-            tmp = nodes[2];
-            nodes[2] = nodes[1];
-            nodes[1] = tmp;
-            case2 = 1;
-        } else case2 = 0;
-
-        // I worked it out on paper. You're just gonna have to trust me on this.
-        if (!case1 && !case2) {
-            neighbors[0] = INDEX3(tri_nbrs, i, 1);
-            neighbors[1] = INDEX3(tri_nbrs, i, 2);
-            neighbors[2] = INDEX3(tri_nbrs, i, 0);
-        } else if (case1 && !case2) {
-            neighbors[0] = INDEX3(tri_nbrs, i, 2);
-            neighbors[1] = INDEX3(tri_nbrs, i, 1);
-            neighbors[2] = INDEX3(tri_nbrs, i, 0);
-        } else if (!case1 && case2) {
-            neighbors[0] = INDEX3(tri_nbrs, i, 1);
-            neighbors[1] = INDEX3(tri_nbrs, i, 0);
-            neighbors[2] = INDEX3(tri_nbrs, i, 2);
-        } else {
-            neighbors[0] = INDEX3(tri_nbrs, i, 2);
-            neighbors[1] = INDEX3(tri_nbrs, i, 0);
-            neighbors[2] = INDEX3(tri_nbrs, i, 1);
-        }
-
-        // Not trusting me? Okay, let's go through it:
-        // We have three edges to deal with and three nodes. Without loss
-        // of generality, let's label the nodes A, B, and C with (A, B)
-        // forming the first edge in the order they arrive on input.
-        // Then there are eight possibilities as to how the other edge-tuples
-        // may be labeled, but only two variations that are going to affect the
-        // output:
-        //
-        // AB         AB
-        // BC (CB)    AC (CA)
-        // CA (AC)    BC (CB)
-        //
-        // The distinction is whether A is in the second edge or B is.
-        // This is the test "case1" above.
-        //
-        // The second test we need to perform is for counter-clockwiseness.
-        // Again, there are only two variations that will affect the outcome:
-        // either ABC is counter-clockwise, or it isn't. In the former case,
-        // we're done setting the node order, we just need to associate the
-        // appropriate neighbor triangles with their opposite nodes, something
-        // which can be done by inspection. In the latter case, to order the
-        // nodes counter-clockwise, we only have to switch B and C to get
-        // nodes ACB. Then we simply set the neighbor list by inspection again.
-        //
-        //          CCW     CW
-        // AB
-        // BC       120     102 -+
-        // CA                    |
-        //                       +- neighbor order
-        // AB                    |
-        // AC       210     201 -+
-        // BC
-        //          ABC     ACB -+- node order
-
-
-        INDEX3(tri_edges,i,0) = nodes[0];
-        INDEX3(tri_edges,i,1) = nodes[1];
-        INDEX3(tri_edges,i,2) = nodes[2];
-        INDEX3(tri_nbrs,i,0) = neighbors[0];
-        INDEX3(tri_nbrs,i,1) = neighbors[1];
-        INDEX3(tri_nbrs,i,2) = neighbors[2];
-    }
-}
-
-static PyObject* getMesh(int npoints, double *x, double *y)
-{
-    PyObject *vertices = NULL, *edge_db = NULL, *tri_edges = NULL, *tri_nbrs = NULL;
-    PyObject *temp;
-    int tri0, tri1, reg0, reg1;
-    double tri0x, tri0y, tri1x, tri1y;
-    int length, numtri, i, j;
-    npy_intp dim[NPY_MAXDIMS];
-    int *edge_db_ptr, *tri_edges_ptr, *tri_nbrs_ptr;
-    double *vertices_ptr;
-    VoronoiDiagramGenerator vdg;
-
-    vdg.generateVoronoi(x, y, npoints, -100, 100, -100, 100, 0);
-    vdg.getNumbers(length, numtri);
-
-    // Count the actual number of edges
-    i = 0;
-    vdg.resetEdgeListIter();
-    while (vdg.getNextDelaunay(tri0, tri0x, tri0y, tri1, tri1x, tri1y, reg0, reg1))
-        i++;
-    length = i;
-
-    dim[0] = length;
-    dim[1] = 2;
-    edge_db = PyArray_SimpleNew(2, dim, NPY_INT);
-    if (!edge_db) goto fail;
-    edge_db_ptr = (int*)PyArray_DATA((PyArrayObject*)edge_db);
-
-    dim[0] = numtri;
-    vertices = PyArray_SimpleNew(2, dim, NPY_DOUBLE);
-    if (!vertices) goto fail;
-    vertices_ptr = (double*)PyArray_DATA((PyArrayObject*)vertices);
-
-    dim[1] = 3;
-    tri_edges = PyArray_SimpleNew(2, dim, NPY_INT);
-    if (!tri_edges) goto fail;
-    tri_edges_ptr = (int*)PyArray_DATA((PyArrayObject*)tri_edges);
-
-    tri_nbrs = PyArray_SimpleNew(2, dim, NPY_INT);
-    if (!tri_nbrs) goto fail;
-    tri_nbrs_ptr = (int*)PyArray_DATA((PyArrayObject*)tri_nbrs);
-
-    for (i=0; i<(3*numtri); i++) {
-        tri_edges_ptr[i] = tri_nbrs_ptr[i] = -1;
-    }
-
-    vdg.resetEdgeListIter();
-    i = -1;
-    while (vdg.getNextDelaunay(tri0, tri0x, tri0y, tri1, tri1x, tri1y, reg0, reg1)) {
-        i++;
-        INDEX2(edge_db_ptr,i,0) = reg0;
-        INDEX2(edge_db_ptr,i,1) = reg1;
-        if (tri0 > -1) {
-            INDEX2(vertices_ptr,tri0,0) = tri0x;
-            INDEX2(vertices_ptr,tri0,1) = tri0y;
-            for (j=0; j<3; j++) {
-                if (INDEX3(tri_edges_ptr,tri0,j) == i) break;
-                if (INDEX3(tri_edges_ptr,tri0,j) == -1) {
-                    INDEX3(tri_edges_ptr,tri0,j) = i;
-                    INDEX3(tri_nbrs_ptr,tri0,j) = tri1;
-                    break;
-                }
-            }
-        }
-        if (tri1 > -1) {
-            INDEX2(vertices_ptr,tri1,0) = tri1x;
-            INDEX2(vertices_ptr,tri1,1) = tri1y;
-            for (j=0; j<3; j++) {
-                if (INDEX3(tri_edges_ptr,tri1,j) == i) break;
-                if (INDEX3(tri_edges_ptr,tri1,j) == -1) {
-                    INDEX3(tri_edges_ptr,tri1,j) = i;
-                    INDEX3(tri_nbrs_ptr,tri1,j) = tri0;
-                    break;
-                }
-            }
-        }
-    }
-
-    // tri_edges contains lists of edges; convert to lists of nodes in
-    // counterclockwise order and reorder tri_nbrs to match. Each node
-    // corresponds to the edge opposite it in the triangle.
-    reorder_edges(npoints, numtri, x, y, edge_db_ptr, tri_edges_ptr,
-        tri_nbrs_ptr);
-
-    temp = Py_BuildValue("(OOOO)", vertices, edge_db, tri_edges, tri_nbrs);
-    if (!temp) goto fail;
-
-    Py_DECREF(vertices);
-    Py_DECREF(edge_db);
-    Py_DECREF(tri_edges);
-    Py_DECREF(tri_nbrs);
-
-    return temp;
-
-fail:
-    Py_XDECREF(vertices);
-    Py_XDECREF(edge_db);
-    Py_XDECREF(tri_edges);
-    Py_XDECREF(tri_nbrs);
-    return NULL;
-}
-
-static PyObject *linear_planes(int ntriangles, double *x, double *y, double *z,
-    int *nodes)
-{
-    npy_intp dims[2];
-    PyObject *planes;
-    int i;
-    double *planes_ptr;
-    double x02, y02, z02, x12, y12, z12, xy0212;
-
-    dims[0] = ntriangles;
-    dims[1] = 3;
-    planes = PyArray_SimpleNew(2, dims, NPY_DOUBLE);
-    if (!planes) return NULL;
-    planes_ptr = (double *)PyArray_DATA((PyArrayObject*)planes);
-
-    for (i=0; i<ntriangles; i++) {
-        x02 = x[INDEX3(nodes,i,0)] - x[INDEX3(nodes,i,2)];
-        y02 = y[INDEX3(nodes,i,0)] - y[INDEX3(nodes,i,2)];
-        z02 = z[INDEX3(nodes,i,0)] - z[INDEX3(nodes,i,2)];
-        x12 = x[INDEX3(nodes,i,1)] - x[INDEX3(nodes,i,2)];
-        y12 = y[INDEX3(nodes,i,1)] - y[INDEX3(nodes,i,2)];
-        z12 = z[INDEX3(nodes,i,1)] - z[INDEX3(nodes,i,2)];
-
-        if (y12 != 0.0) {
-            xy0212 = y02/y12;
-            INDEX3(planes_ptr,i,0) = (z02 - z12 * xy0212) / (x02 - x12 * xy0212);
-            INDEX3(planes_ptr,i,1) = (z12 - INDEX3(planes_ptr,i,0)*x12) / y12;
-            INDEX3(planes_ptr,i,2) = (z[INDEX3(nodes,i,2)] -
-                                      INDEX3(planes_ptr,i,0)*x[INDEX3(nodes,i,2)] -
-                                      INDEX3(planes_ptr,i,1)*y[INDEX3(nodes,i,2)]);
-        } else {
-            xy0212 = x02/x12;
-            INDEX3(planes_ptr,i,1) = (z02 - z12 * xy0212) / (y02 - y12 * xy0212);
-            INDEX3(planes_ptr,i,0) = (z12 - INDEX3(planes_ptr,i,1)*y12) / x12;
-            INDEX3(planes_ptr,i,2) = (z[INDEX3(nodes,i,2)] -
-                                      INDEX3(planes_ptr,i,0)*x[INDEX3(nodes,i,2)] -
-                                      INDEX3(planes_ptr,i,1)*y[INDEX3(nodes,i,2)]);
-        }
-    }
-
-    return (PyObject*)planes;
-}
-
-static double linear_interpolate_single(double targetx, double targety,
-    double *x, double *y, int *nodes, int *neighbors,
-    PyObject *planes, double defvalue, int start_triangle, int *end_triangle)
-{
-    double *planes_ptr;
-    planes_ptr = (double*)PyArray_DATA((PyArrayObject*)planes);
-    if (start_triangle == -1) start_triangle = 0;
-    *end_triangle = walking_triangles(start_triangle, targetx, targety,
-        x, y, nodes, neighbors);
-    if (*end_triangle == -1) return defvalue;
-    return (targetx*INDEX3(planes_ptr,*end_triangle,0) +
-            targety*INDEX3(planes_ptr,*end_triangle,1) +
-                    INDEX3(planes_ptr,*end_triangle,2));
-}
-
-static PyObject *linear_interpolate_grid(double x0, double x1, int xsteps,
-    double y0, double y1, int ysteps,
-    PyObject *planes, double defvalue,
-    int npoints, double *x, double *y, int *nodes, int *neighbors)
-{
-    int ix, iy;
-    double dx, dy, targetx, targety;
-    int rowtri, coltri, tri;
-    PyObject *z;
-    double *z_ptr;
-    npy_intp dims[2];
-
-    dims[0] = ysteps;
-    dims[1] = xsteps;
-    z = PyArray_SimpleNew(2, dims, NPY_DOUBLE);
-    if (!z) return NULL;
-    z_ptr = (double*)PyArray_DATA((PyArrayObject*)z);
-
-    dx = ( xsteps==1 ? 0 : (x1 - x0) / (xsteps-1) );
-    dy = ( ysteps==1 ? 0 : (y1 - y0) / (ysteps-1) );
-
-    rowtri = 0;
-    for (iy=0; iy<ysteps; iy++) {
-        targety = y0 + dy*iy;
-        rowtri = walking_triangles(rowtri, x0, targety, x, y, nodes, neighbors);
-        tri = rowtri;
-        for (ix=0; ix<xsteps; ix++) {
-            targetx = x0 + dx*ix;
-            INDEXN(z_ptr, xsteps, iy, ix) = linear_interpolate_single(
-                targetx, targety,
-                x, y, nodes, neighbors, planes, defvalue, tri, &coltri);
-            if (coltri != -1) tri = coltri;
-        }
-    }
-
-    return z;
-}
-
-static PyObject *compute_planes_method(PyObject *self, PyObject *args)
-{
-    PyObject *pyx, *pyy, *pyz, *pynodes;
-    PyObject *x = NULL, *y = NULL, *z = NULL, *nodes = NULL;
-    int npoints, ntriangles;
-
-    PyObject *planes;
-
-    if (!PyArg_ParseTuple(args, "OOOO", &pyx, &pyy, &pyz, &pynodes)) {
-        return NULL;
-    }
-    x = PyArray_FROMANY(pyx, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!x) {
-        PyErr_SetString(PyExc_ValueError, "x must be a 1-D array of floats");
-        goto fail;
-    }
-    y = PyArray_FROMANY(pyy, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!y) {
-        PyErr_SetString(PyExc_ValueError, "y must be a 1-D array of floats");
-        goto fail;
-    }
-    z = PyArray_FROMANY(pyz, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!z) {
-        PyErr_SetString(PyExc_ValueError, "z must be a 1-D array of floats");
-        goto fail;
-    }
-    npoints = PyArray_DIM((PyArrayObject*)x, 0);
-    if ((PyArray_DIM((PyArrayObject*)y, 0) != npoints) || (PyArray_DIM((PyArrayObject*)z, 0) != npoints)) {
-        PyErr_SetString(PyExc_ValueError, "x,y,z arrays must be of equal length");
-        goto fail;
-    }
-    nodes = PyArray_FROMANY(pynodes, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!nodes) {
-        PyErr_SetString(PyExc_ValueError, "nodes must be a 2-D array of ints");
-        goto fail;
-    }
-    ntriangles = PyArray_DIM((PyArrayObject*)nodes, 0);
-    if (PyArray_DIM((PyArrayObject*)nodes, 1) != 3) {
-        PyErr_SetString(PyExc_ValueError, "nodes must have shape (ntriangles, 3)");
-        goto fail;
-    }
-
-    planes = linear_planes(ntriangles,
-                           (double*)PyArray_DATA((PyArrayObject*)x),
-                           (double*)PyArray_DATA((PyArrayObject*)y),
-                           (double*)PyArray_DATA((PyArrayObject*)z),
-                           (int*)PyArray_DATA((PyArrayObject*)nodes));
-
-    Py_DECREF(x);
-    Py_DECREF(y);
-    Py_DECREF(z);
-    Py_DECREF(nodes);
-
-    return planes;
-
-fail:
-    Py_XDECREF(x);
-    Py_XDECREF(y);
-    Py_XDECREF(z);
-    Py_XDECREF(nodes);
-    return NULL;
-}
-
-static PyObject *linear_interpolate_method(PyObject *self, PyObject *args)
-{
-    double x0, x1, y0, y1, defvalue;
-    int xsteps, ysteps;
-    PyObject *pyplanes, *pyx, *pyy, *pynodes, *pyneighbors, *grid;
-    PyObject *planes = NULL, *x = NULL, *y = NULL, *nodes = NULL, *neighbors = NULL;
-    int npoints;
-
-
-    if (!PyArg_ParseTuple(args, "ddiddidOOOOO", &x0, &x1, &xsteps, &y0, &y1, &ysteps,
-           &defvalue, &pyplanes, &pyx, &pyy, &pynodes, &pyneighbors)) {
-        return NULL;
-    }
-    x = PyArray_FROMANY(pyx, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!x) {
-        PyErr_SetString(PyExc_ValueError, "x must be a 1-D array of floats");
-        goto fail;
-    }
-    y = PyArray_FROMANY(pyy, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!y) {
-        PyErr_SetString(PyExc_ValueError, "y must be a 1-D array of floats");
-        goto fail;
-    }
-    npoints = PyArray_DIM((PyArrayObject*)x, 0);
-    if (PyArray_DIM((PyArrayObject*)y, 0) != npoints) {
-        PyErr_SetString(PyExc_ValueError, "x,y arrays must be of equal length");
-        goto fail;
-    }
-    planes = PyArray_FROMANY(pyplanes, NPY_DOUBLE, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!planes) {
-        PyErr_SetString(PyExc_ValueError, "planes must be a 2-D array of floats");
-        goto fail;
-    }
-    nodes = PyArray_FROMANY(pynodes, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!nodes) {
-        PyErr_SetString(PyExc_ValueError, "nodes must be a 2-D array of ints");
-        goto fail;
-    }
-    neighbors = PyArray_FROMANY(pyneighbors, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!neighbors) {
-        PyErr_SetString(PyExc_ValueError, "neighbors must be a 2-D array of ints");
-        goto fail;
-    }
-
-    grid = linear_interpolate_grid(x0, x1, xsteps, y0, y1, ysteps,
-                                   (PyObject*)planes, defvalue, npoints,
-                                   (double*)PyArray_DATA((PyArrayObject*)x),
-                                   (double*)PyArray_DATA((PyArrayObject*)y),
-                                   (int*)PyArray_DATA((PyArrayObject*)nodes),
-                                   (int*)PyArray_DATA((PyArrayObject*)neighbors));
-
-    Py_DECREF(x);
-    Py_DECREF(y);
-    Py_DECREF(planes);
-    Py_DECREF(nodes);
-    Py_DECREF(neighbors);
-
-    return grid;
-
-fail:
-    Py_XDECREF(x);
-    Py_XDECREF(y);
-    Py_XDECREF(planes);
-    Py_XDECREF(nodes);
-    Py_XDECREF(neighbors);
-    return NULL;
-}
-
-// Thanks to C++'s memory rules, we can't use the usual "goto fail;" method of
-// error handling.
-
-#define CLEANUP \
-    Py_XDECREF(x);\
-    Py_XDECREF(y);\
-    Py_XDECREF(z);\
-    Py_XDECREF(intx);\
-    Py_XDECREF(inty);\
-    Py_XDECREF(centers);\
-    Py_XDECREF(nodes);\
-    Py_XDECREF(neighbors);\
-    Py_XDECREF(intz);
-
-#define PyArray_ND(arr) (((PyArrayObject*)arr)->nd)
-
-static PyObject *nn_interpolate_unstructured_method(PyObject *self, PyObject *args)
-{
-    PyObject *pyx, *pyy, *pyz, *pycenters, *pynodes, *pyneighbors, *pyintx, *pyinty;
-    PyObject *x = NULL, *y = NULL, *z = NULL, *centers = NULL, *nodes = NULL,
-        *neighbors = NULL, *intx = NULL, *inty = NULL, *intz = NULL;
-    double defvalue;
-    int size, npoints, ntriangles;
-
-    if (!PyArg_ParseTuple(args, "OOdOOOOOO", &pyintx, &pyinty, &defvalue,
-        &pyx, &pyy, &pyz, &pycenters, &pynodes, &pyneighbors)) {
-        return NULL;
-    }
-    x = PyArray_FROMANY(pyx, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!x) {
-        PyErr_SetString(PyExc_ValueError, "x must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    y = PyArray_FROMANY(pyy, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!y) {
-        PyErr_SetString(PyExc_ValueError, "y must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    z = PyArray_FROMANY(pyz, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!z) {
-        PyErr_SetString(PyExc_ValueError, "z must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    npoints = PyArray_DIM((PyArrayObject*)x, 0);
-    if ((PyArray_DIM((PyArrayObject*)y, 0) != npoints) ||
-        (PyArray_DIM((PyArrayObject*)z, 0) != npoints)) {
-        PyErr_SetString(PyExc_ValueError, "x,y,z arrays must be of equal length");
-        CLEANUP
-        return NULL;
-    }
-    centers = PyArray_FROMANY(pycenters, NPY_DOUBLE, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!centers) {
-        PyErr_SetString(PyExc_ValueError, "centers must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    nodes = PyArray_FROMANY(pynodes, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!nodes) {
-        PyErr_SetString(PyExc_ValueError, "nodes must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    neighbors = PyArray_FROMANY(pyneighbors, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!neighbors) {
-        PyErr_SetString(PyExc_ValueError, "neighbors must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    ntriangles = PyArray_DIM((PyArrayObject*)neighbors, 0);
-    if ((PyArray_DIM((PyArrayObject*)nodes, 0) != ntriangles)  ||
-        (PyArray_DIM((PyArrayObject*)centers, 0) != ntriangles)) {
-        PyErr_SetString(PyExc_ValueError, "centers,nodes,neighbors must be of equal length");
-        CLEANUP
-        return NULL;
-    }
-    intx = PyArray_FROM_OTF(pyintx, NPY_DOUBLE, NPY_ARRAY_IN_ARRAY);
-    if (!intx) {
-        PyErr_SetString(PyExc_ValueError, "intx must be an array of floats");
-        CLEANUP
-        return NULL;
-    }
-    inty = PyArray_FROM_OTF(pyinty, NPY_DOUBLE, NPY_ARRAY_IN_ARRAY);
-    if (!inty) {
-        PyErr_SetString(PyExc_ValueError, "inty must be an array of floats");
-        CLEANUP
-        return NULL;
-    }
-    if (PyArray_NDIM((PyArrayObject*)intx) != PyArray_NDIM((PyArrayObject*)inty)) {
-        PyErr_SetString(PyExc_ValueError, "intx,inty must have same shapes");
-        CLEANUP
-        return NULL;
-    }
-    for (int i=0; i<PyArray_NDIM((PyArrayObject*)intx); i++) {
-        if (PyArray_DIM((PyArrayObject*)intx, i) != PyArray_DIM((PyArrayObject*)inty, i)) {
-            PyErr_SetString(PyExc_ValueError, "intx,inty must have same shapes");
-            CLEANUP
-            return NULL;
-        }
-    }
-    intz = PyArray_SimpleNew(PyArray_NDIM((PyArrayObject*)intx),
-                             PyArray_DIMS((PyArrayObject*)intx), NPY_DOUBLE);
-    if (!intz) {
-        CLEANUP
-        return NULL;
-    }
-
-    NaturalNeighbors nn(npoints, ntriangles,
-                        (double*)PyArray_DATA((PyArrayObject*)x),
-                        (double*)PyArray_DATA((PyArrayObject*)y),
-                        (double*)PyArray_DATA((PyArrayObject*)centers),
-                        (int*)PyArray_DATA((PyArrayObject*)nodes),
-                        (int*)PyArray_DATA((PyArrayObject*)neighbors));
-    size = PyArray_Size(intx);
-    nn.interpolate_unstructured((double*)PyArray_DATA((PyArrayObject*)z),
-                                size,
-                                (double*)PyArray_DATA((PyArrayObject*)intx),
-                                (double*)PyArray_DATA((PyArrayObject*)inty),
-                                (double*)PyArray_DATA((PyArrayObject*)intz),
-                                defvalue);
-
-    Py_XDECREF(x);
-    Py_XDECREF(y);
-    Py_XDECREF(z);
-    Py_XDECREF(intx);
-    Py_XDECREF(inty);
-    Py_XDECREF(centers);
-    Py_XDECREF(nodes);
-    Py_XDECREF(neighbors);
-    return intz;
-}
-
-#undef CLEANUP
-
-#define CLEANUP \
-    Py_XDECREF(x);\
-    Py_XDECREF(y);\
-    Py_XDECREF(z);\
-    Py_XDECREF(centers);\
-    Py_XDECREF(nodes);\
-    Py_XDECREF(neighbors);
-
-static PyObject *nn_interpolate_method(PyObject *self, PyObject *args)
-{
-    PyObject *pyx, *pyy, *pyz, *pycenters, *pynodes, *pyneighbors, *grid;
-    PyObject *x = NULL, *y = NULL, *z = NULL, *centers = NULL, *nodes = NULL, *neighbors = NULL;
-    double x0, x1, y0, y1, defvalue;
-    int xsteps, ysteps;
-    int npoints, ntriangles;
-    npy_intp dims[2];
-
-    if (!PyArg_ParseTuple(args, "ddiddidOOOOOO", &x0, &x1, &xsteps,
-        &y0, &y1, &ysteps, &defvalue, &pyx, &pyy, &pyz, &pycenters, &pynodes,
-        &pyneighbors)) {
-        return NULL;
-    }
-    x = PyArray_FROMANY(pyx, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!x) {
-        PyErr_SetString(PyExc_ValueError, "x must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    y = PyArray_FROMANY(pyy, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!y) {
-        PyErr_SetString(PyExc_ValueError, "y must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    z = PyArray_FROMANY(pyz, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!z) {
-        PyErr_SetString(PyExc_ValueError, "z must be a 1-D array of floats");
-        CLEANUP
-        return NULL;
-    }
-    npoints = PyArray_DIM((PyArrayObject*)x, 0);
-    if (PyArray_DIM((PyArrayObject*)y, 0) != npoints) {
-        PyErr_SetString(PyExc_ValueError, "x,y arrays must be of equal length");
-        CLEANUP
-        return NULL;
-    }
-    centers = PyArray_FROMANY(pycenters, NPY_DOUBLE, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!centers) {
-        PyErr_SetString(PyExc_ValueError, "centers must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    nodes = PyArray_FROMANY(pynodes, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!nodes) {
-        PyErr_SetString(PyExc_ValueError, "nodes must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    neighbors = PyArray_FROMANY(pyneighbors, NPY_INT, 2, 2, NPY_ARRAY_IN_ARRAY);
-    if (!neighbors) {
-        PyErr_SetString(PyExc_ValueError, "neighbors must be a 2-D array of ints");
-        CLEANUP
-        return NULL;
-    }
-    ntriangles = PyArray_DIM((PyArrayObject*)neighbors, 0);
-    if ((PyArray_DIM((PyArrayObject*)nodes, 0) != ntriangles)  ||
-        (PyArray_DIM((PyArrayObject*)centers, 0) != ntriangles)) {
-        PyErr_SetString(PyExc_ValueError, "centers,nodes,neighbors must be of equal length");
-        CLEANUP
-        return NULL;
-    }
-
-    dims[0] = ysteps;
-    dims[1] = xsteps;
-    grid = PyArray_SimpleNew(2, dims, NPY_DOUBLE);
-    if (!grid) {
-        CLEANUP
-        return NULL;
-    }
-
-    NaturalNeighbors nn(npoints, ntriangles,
-                        (double*)PyArray_DATA((PyArrayObject*)x),
-                        (double*)PyArray_DATA((PyArrayObject*)y),
-                        (double*)PyArray_DATA((PyArrayObject*)centers),
-                        (int*)PyArray_DATA((PyArrayObject*)nodes),
-                        (int*)PyArray_DATA((PyArrayObject*)neighbors));
-    nn.interpolate_grid((double*)PyArray_DATA((PyArrayObject*)z),
-        x0, x1, xsteps,
-        y0, y1, ysteps,
-        (double*)PyArray_DATA((PyArrayObject*)grid),
-        defvalue, 0);
-
-    CLEANUP
-
-    return grid;
-
-}
-#undef CLEANUP
-
-static PyObject *delaunay_method(PyObject *self, PyObject *args)
-{
-    PyObject *pyx, *pyy, *mesh;
-    PyObject *x = NULL, *y = NULL;
-    int npoints;
-
-    if (!PyArg_ParseTuple(args, "OO", &pyx, &pyy)) {
-        return NULL;
-    }
-    x = PyArray_FROMANY(pyx, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!x) {
-        PyErr_SetString(PyExc_ValueError, "x must be a 1-D array of floats");
-        goto fail;
-    }
-    y = PyArray_FROMANY(pyy, NPY_DOUBLE, 1, 1, NPY_ARRAY_IN_ARRAY);
-    if (!y) {
-        PyErr_SetString(PyExc_ValueError, "y must be a 1-D array of floats");
-        goto fail;
-    }
-
-    npoints = PyArray_DIM((PyArrayObject*)x, 0);
-    if (PyArray_DIM((PyArrayObject*)y, 0) != npoints) {
-        PyErr_SetString(PyExc_ValueError, "x and y must have the same length");
-        goto fail;
-    }
-
-    mesh = getMesh(npoints,
-                   (double*)PyArray_DATA((PyArrayObject*)x),
-                   (double*)PyArray_DATA((PyArrayObject*)y));
-
-    if (!mesh) goto fail;
-
-    Py_DECREF(x);
-    Py_DECREF(y);
-
-    return mesh;
-
-fail:
-    Py_XDECREF(x);
-    Py_XDECREF(y);
-    return NULL;
-}
-
-static PyMethodDef delaunay_methods[] = {
-    {"delaunay", (PyCFunction)delaunay_method, METH_VARARGS,
-        "Compute the Delaunay triangulation of a cloud of 2-D points.\n\n"
-        "circumcenters, edges, tri_points, tri_neighbors = delaunay(x, y)\n\n"
-        "x, y -- shape-(npoints,) arrays of floats giving the X and Y coordinates of the points\n"
-        "circumcenters -- shape-(numtri,2) array of floats giving the coordinates of the\n"
-        "    circumcenters of each triangle (numtri being the number of triangles)\n"
-        "edges -- shape-(nedges,2) array of integers giving the indices into x and y\n"
-        "    of each edge in the triangulation\n"
-        "tri_points -- shape-(numtri,3) array of integers giving the indices into x and y\n"
-        "    of each node in each triangle\n"
-        "tri_neighbors -- shape-(numtri,3) array of integers giving the indices into circumcenters\n"
-        "    tri_points, and tri_neighbors of the neighbors of each triangle\n"},
-    {"compute_planes", (PyCFunction)compute_planes_method, METH_VARARGS,
-        ""},
-    {"linear_interpolate_grid", (PyCFunction)linear_interpolate_method, METH_VARARGS,
-        ""},
-    {"nn_interpolate_grid", (PyCFunction)nn_interpolate_method, METH_VARARGS,
-        ""},
-    {"nn_interpolate_unstructured", (PyCFunction)nn_interpolate_unstructured_method, METH_VARARGS,
-        ""},
-    {NULL, NULL, 0, NULL}
-};
-
-#if PY_MAJOR_VERSION >= 3
-static struct PyModuleDef delaunay_module = {
-    PyModuleDef_HEAD_INIT,
-    "_delaunay",
-    "Tools for computing the Delaunay triangulation and some operations on it.\n",
-    -1,
-    delaunay_methods,
-    NULL, NULL, NULL, NULL
-};
-
-PyMODINIT_FUNC
-PyInit__delaunay(void)
-{
-    PyObject* m;
-    import_array();
-
-    m = PyModule_Create(&delaunay_module);
-    if (m == NULL)
-        return NULL;
-
-    return m;
-}
-#else
-PyMODINIT_FUNC init_delaunay(void)
-{
-    PyObject* m;
-    import_array();
-
-    m = Py_InitModule3("_delaunay", delaunay_methods,
-        "Tools for computing the Delaunay triangulation and some operations on it.\n"
-        );
-    if (m == NULL)
-        return;
-}
-#endif
-
-} // extern "C"
diff --git a/lib/matplotlib/delaunay/delaunay_utils.cpp b/lib/matplotlib/delaunay/delaunay_utils.cpp
deleted file mode 100644
index 4a3724d9b691..000000000000
--- a/lib/matplotlib/delaunay/delaunay_utils.cpp
+++ /dev/null
@@ -1,134 +0,0 @@
-#include "delaunay_utils.h"
-#include <algorithm>
-#include <queue>
-#include <vector>
-#include <iostream>
-
-using namespace std;
-
-int walking_triangles(int start, double targetx, double targety, 
-    double *x, double *y, int *nodes, int *neighbors)
-{
-    int i, j, k, t;
-
-    if (start == -1) start = 0;
-    t = start;
-    while (1) {
-        for (i=0; i<3; i++) {
-            j = EDGE0(i);
-            k = EDGE1(i);
-            if (ONRIGHT(x[INDEX3(nodes,t,j)], y[INDEX3(nodes,t,j)],
-                        x[INDEX3(nodes,t,k)], y[INDEX3(nodes,t,k)],
-                        targetx, targety)) {
-                t = INDEX3(neighbors, t, i);
-                if (t < 0) return t; // outside the convex hull
-                break;
-            }
-        }
-        if (i == 3) break;
-    }
-
-    return t;
-}
-
-void getminmax(double *arr, int n, double& minimum, double& maximum)
-{
-    int i;
-    minimum = arr[0];
-    maximum = arr[0];
-    for (i=1; i<n; i++) {
-        if (arr[i] < minimum) {
-            minimum = arr[i];
-        } else if (arr[i] > maximum) {
-            maximum = arr[i];
-        }
-    }
-}
-
-// Find the circumcenter of three 2-D points by Cramer's Rule to find
-// the intersection of two perpendicular bisectors of the triangle's 
-// edges.
-// http://www.ics.uci.edu/~eppstein/junkyard/circumcenter.html
-//
-// Return true if successful; return false if points are collinear
-bool circumcenter(double x0, double y0,
-                  double x1, double y1,
-                  double x2, double y2,
-                  double& centerx, double& centery)
-{
-    double D;
-    double x0m2, y1m2, x1m2, y0m2;
-    double x0p2, y1p2, x1p2, y0p2;
-    x0m2 = x0 - x2;
-    y1m2 = y1 - y2;
-    x1m2 = x1 - x2;
-    y0m2 = y0 - y2;
-    x0p2 = x0 + x2;
-    y1p2 = y1 + y2;
-    x1p2 = x1 + x2;
-    y0p2 = y0 + y2;
-
-    D = x0m2*y1m2 - x1m2*y0m2;
-    if ((D < TOLERANCE_EPS) && (D > -TOLERANCE_EPS)) return false;
-
-    centerx = (((x0m2*x0p2 + y0m2*y0p2)/2*y1m2) 
-              - (x1m2*x1p2 + y1m2*y1p2)/2*y0m2) / D;
-    centery = (((x1m2*x1p2 + y1m2*y1p2)/2*x0m2)
-              - (x0m2*x0p2 + y0m2*y0p2)/2*x1m2) / D;
-
-    return true;
-}
-
-double signed_area(double x0, double y0,
-                   double x1, double y1,
-                   double x2, double y2)
-{
-    return 0.5*(x0 * (y1 - y2)
-              + x1 * (y2 - y0)
-              + x2 * (y0 - y1));
-}
-
-ConvexPolygon::ConvexPolygon(){
-    seeded = false;
-}
-
-ConvexPolygon::~ConvexPolygon() {
-}
-
-void ConvexPolygon::seed(double x0c, double y0c) {
-    this->x0 = x0c;
-    this->y0 = y0c;
-}
-
-void ConvexPolygon::push(double x, double y) {
-    if (!seeded) {
-        seed(x, y);
-        seeded = true;
-        return;
-    }
-    SeededPoint xy(this->x0, this->y0, x, y);
-
-    this->points.push_back(xy);
-}
-
-double ConvexPolygon::area() {
-    double A=0.0;
-    int i;
-
-    sort(this->points.begin(), this->points.end());
-    
-    this->points.push_back(SeededPoint(x0, y0, x0, y0));
-    int n = (int)this->points.size();
-
-    for (i=0; i<n; i++) {
-        int j = i-1;
-        if (j<0) j = n-1;
-        int k = i+1;
-        if (k>=n) k = 0;
-
-        A += points[i].x*(points[k].y - points[j].y);
-    }
-
-    A *= 0.5;
-    return A;
-}
diff --git a/lib/matplotlib/delaunay/delaunay_utils.h b/lib/matplotlib/delaunay/delaunay_utils.h
deleted file mode 100644
index 0cb46812e1e6..000000000000
--- a/lib/matplotlib/delaunay/delaunay_utils.h
+++ /dev/null
@@ -1,77 +0,0 @@
-
-#ifndef _DELAUNAY_UTILS_H
-#define _DELAUNAY_UTILS_H
-
-#include <vector>
-#include <queue>
-#include <functional>
-
-using namespace std;
-
-#define ONRIGHT(x0, y0, x1, y1, x, y) ((y0-y)*(x1-x) > (x0-x)*(y1-y))
-#define EDGE0(node) ((node + 1) % 3)
-#define EDGE1(node) ((node + 2) % 3)
-#define INDEX2(arr,ix,jx) (arr[2*ix+jx])
-#define INDEX3(arr,ix,jx) (arr[3*ix+jx])
-#define INDEXN(arr,N,ix,jx) (arr[N*ix+jx])
-#define SQ(a) ((a)*(a))
-
-#define TOLERANCE_EPS (4e-13)
-#define PERTURB_EPS (1e-3)
-#define GINORMOUS (1e100)
-
-extern int walking_triangles(int start, double targetx, double targety, 
-    double *x, double *y, int *nodes, int *neighbors);
-extern void getminmax(double *arr, int n, double& minimum, double& maximum);
-extern bool circumcenter(double x0, double y0,
-                         double x1, double y1,
-                         double x2, double y2,
-                         double& centerx, double& centery);
-extern double signed_area(double x0, double y0,
-                          double x1, double y1,
-                          double x2, double y2);
-
-class SeededPoint {
-public:
-    SeededPoint() {};
-    SeededPoint(double x0c, double y0c, double xc, double yc) {
-        this->x0 = x0c;
-        this->y0 = y0c;
-        this->x = xc;
-        this->y = yc;
-    };
-    ~SeededPoint() {};
-
-    double x0, y0;
-    double x, y;
-
-    bool operator<(const SeededPoint& p2) const {
-        double test = (this->y0-p2.y)*(this->x-p2.x) - (this->x0-p2.x)*(this->y-p2.y);
-        if (test == 0) {
-            double length1 = SQ(this->x-this->x0) + SQ(this->y-this->y0);
-            double length2 = SQ(p2.x-this->x0) + SQ(p2.y-this->y0);
-
-            return (length2 > length1);
-        } else return (test < 0);
-    }
-
-};
-
-class ConvexPolygon {
-public:
-    ConvexPolygon();
-    ~ConvexPolygon();
-
-    void seed(double x0c, double y0c);
-    void push(double x, double y);
-
-    double area();
-
-// private:  // I don't care much for data-hiding
-    double x0, y0;
-    vector<SeededPoint> points;
-    bool seeded;
-};
-
-
-#endif // _DELAUNAY_UTILS_H
diff --git a/lib/matplotlib/delaunay/interpolate.py b/lib/matplotlib/delaunay/interpolate.py
deleted file mode 100644
index 51f00da487f2..000000000000
--- a/lib/matplotlib/delaunay/interpolate.py
+++ /dev/null
@@ -1,172 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-
-from matplotlib._delaunay import compute_planes, linear_interpolate_grid
-from matplotlib._delaunay import nn_interpolate_grid
-from matplotlib._delaunay import nn_interpolate_unstructured
-
-__all__ = ['LinearInterpolator', 'NNInterpolator']
-
-
-def slice2gridspec(key):
-    """Convert a 2-tuple of slices to start,stop,steps for x and y.
-
-    key -- (slice(ystart,ystop,ystep), slice(xtart, xstop, xstep))
-
-    For now, the only accepted step values are imaginary integers (interpreted
-    in the same way numpy.mgrid, etc. do).
-    """
-    if ((len(key) != 2) or
-        (not isinstance(key[0], slice)) or
-        (not isinstance(key[1], slice))):
-        raise ValueError("only 2-D slices, please")
-
-    x0 = key[1].start
-    x1 = key[1].stop
-    xstep = key[1].step
-    if not isinstance(xstep, complex) or int(xstep.real) != xstep.real:
-        raise ValueError("only the [start:stop:numsteps*1j] form supported")
-    xstep = int(xstep.imag)
-    y0 = key[0].start
-    y1 = key[0].stop
-    ystep = key[0].step
-    if not isinstance(ystep, complex) or int(ystep.real) != ystep.real:
-        raise ValueError("only the [start:stop:numsteps*1j] form supported")
-    ystep = int(ystep.imag)
-
-    return x0, x1, xstep, y0, y1, ystep
-
-
-class LinearInterpolator(object):
-    """Interpolate a function defined on the nodes of a triangulation by
-    using the planes defined by the three function values at each corner of
-    the triangles.
-
-    LinearInterpolator(triangulation, z, default_value=numpy.nan)
-
-    triangulation -- Triangulation instance
-    z -- the function values at each node of the triangulation
-    default_value -- a float giving the default value should the interpolating
-      point happen to fall outside of the convex hull of the triangulation
-
-    At the moment, the only regular rectangular grids are supported for
-    interpolation.
-
-        vals = interp[ystart:ystop:ysteps*1j, xstart:xstop:xsteps*1j]
-
-    vals would then be a (ysteps, xsteps) array containing the interpolated
-    values. These arguments are interpreted the same way as numpy.mgrid.
-
-    Attributes:
-      planes -- (ntriangles, 3) array of floats specifying the plane for each
-        triangle.
-
-    Linear Interpolation
-    --------------------
-    Given the Delauany triangulation (or indeed *any* complete triangulation)
-    we can interpolate values inside the convex hull by locating the enclosing
-    triangle of the interpolation point and returning the value at that point
-    of the plane defined by the three node values.
-
-        f = planes[tri,0]*x + planes[tri,1]*y + planes[tri,2]
-
-    The interpolated function is C0 continuous across the convex hull of the
-    input points. It is C1 continuous across the convex hull except for the
-    nodes and the edges of the triangulation.
-    """
-    def __init__(self, triangulation, z, default_value=np.nan):
-        self.triangulation = triangulation
-        self.z = np.asarray(z, dtype=np.float64)
-        self.default_value = default_value
-
-        self.planes = compute_planes(triangulation.x, triangulation.y, self.z,
-            triangulation.triangle_nodes)
-
-    def __getitem__(self, key):
-        x0, x1, xstep, y0, y1, ystep = slice2gridspec(key)
-        grid = linear_interpolate_grid(
-            x0, x1, xstep, y0, y1, ystep, self.default_value,
-            self.planes, self.triangulation.x, self.triangulation.y,
-            self.triangulation.triangle_nodes,
-            self.triangulation.triangle_neighbors)
-        return grid
-
-
-class NNInterpolator(object):
-    """Interpolate a function defined on the nodes of a triangulation by
-    the natural neighbors method.
-
-    NNInterpolator(triangulation, z, default_value=numpy.nan)
-
-    triangulation -- Triangulation instance
-    z -- the function values at each node of the triangulation
-    default_value -- a float giving the default value should the interpolating
-      point happen to fall outside of the convex hull of the triangulation
-
-    At the moment, the only regular rectangular grids are supported for
-    interpolation.
-
-        vals = interp[ystart:ystop:ysteps*1j, xstart:xstop:xsteps*1j]
-
-    vals would then be a (ysteps, xsteps) array containing the interpolated
-    values. These arguments are interpreted the same way as numpy.mgrid.
-
-    Natural Neighbors Interpolation
-    -------------------------------
-    One feature of the Delaunay triangulation is that for each triangle, its
-    circumcircle contains no other point (although in degenerate cases, like
-    squares, other points may be *on* the circumcircle). One can also
-    construct what is called the Voronoi diagram from a Delaunay triangulation
-    by connecting the circumcenters of the triangles to those of their
-    neighbors to form a tesselation of irregular polygons covering the plane
-    and containing only one node from the triangulation. Each point in one
-    node's Voronoi polygon is closer to that node than any other node.
-
-    To compute the Natural Neighbors interpolant, we consider adding the
-    interpolation point to the triangulation. We define the natural neighbors
-    of this point as the set of nodes participating in Delaunay triangles
-    whose circumcircles contain the point. To restore the Delaunay-ness of the
-    triangulation, one would only have to alter those triangles and Voronoi
-    polygons. The new Voronoi diagram would have a polygon around the
-    inserted point. This polygon would "steal" area from the original Voronoi
-    polygons. For each node i in the natural neighbors set, we compute the
-    area stolen from its original Voronoi polygon, stolen[i]. We define the
-    natural neighbors coordinates
-
-        phi[i] = stolen[i] / sum(stolen,axis=0)
-
-    We then use these phi[i] to weight the corresponding function values from
-    the input data z to compute the interpolated value.
-
-    The interpolated surface is C1-continuous except at the nodes themselves
-    across the convex hull of the input points. One can find the set of points
-    that a given node will affect by computing the union of the areas covered
-    by the circumcircles of each Delaunay triangle that node participates in.
-    """
-
-    def __init__(self, triangulation, z, default_value=np.nan):
-        self.triangulation = triangulation
-        self.z = np.asarray(z, dtype=np.float64)
-        self.default_value = default_value
-
-    def __getitem__(self, key):
-        x0, x1, xstep, y0, y1, ystep = slice2gridspec(key)
-        grid = nn_interpolate_grid(
-            x0, x1, xstep, y0, y1, ystep, self.default_value,
-            self.triangulation.x, self.triangulation.y, self.z,
-            self.triangulation.circumcenters,
-            self.triangulation.triangle_nodes,
-            self.triangulation.triangle_neighbors)
-        return grid
-
-    def __call__(self, intx, inty):
-        intz = nn_interpolate_unstructured(intx, inty, self.default_value,
-            self.triangulation.x, self.triangulation.y, self.z,
-            self.triangulation.circumcenters,
-            self.triangulation.triangle_nodes,
-            self.triangulation.triangle_neighbors)
-        return intz
diff --git a/lib/matplotlib/delaunay/natneighbors.cpp b/lib/matplotlib/delaunay/natneighbors.cpp
deleted file mode 100644
index e8ac77179523..000000000000
--- a/lib/matplotlib/delaunay/natneighbors.cpp
+++ /dev/null
@@ -1,298 +0,0 @@
-
-#include "delaunay_utils.h"
-#include "natneighbors.h"
-
-#include <stack>
-#include <list>
-#include <vector>
-#include <set>
-#include <math.h>
-#include <iostream>
-#include <iterator>
-
-using namespace std;
-
-NaturalNeighbors::NaturalNeighbors(int npoints, int ntriangles, double *x, double *y,
-    double *centers, int *nodes, int *neighbors)
-{
-    this->npoints = npoints;
-    this->ntriangles = ntriangles;
-    this->x = x;
-    this->y = y;
-    this->centers = centers;
-    this->nodes = nodes;
-    this->neighbors = neighbors;
-
-    this->radii2 = new double[ntriangles];
-    for (int i=0; i<ntriangles; i++) {
-        double x2 = x[INDEX3(nodes,i,0)] - INDEX2(centers,i,0);
-        x2 = x2*x2;
-        double y2 = y[INDEX3(nodes,i,0)] - INDEX2(centers,i,1);
-        y2 = y2*y2;
-        this->radii2[i] = x2 + y2;
-    }
-
-}
-
-NaturalNeighbors::~NaturalNeighbors()
-{
-    delete[] this->radii2;
-}
-
-int NaturalNeighbors::find_containing_triangle(double targetx, double targety, int start_triangle)
-{
-    int final_triangle;
-    final_triangle = walking_triangles(start_triangle, targetx, targety,
-        x, y, nodes, neighbors);
-    return final_triangle;
-}
-
-double NaturalNeighbors::interpolate_one(double *z, double targetx, double targety,
-    double defvalue, int &start_triangle)
-{
-    int t = find_containing_triangle(targetx, targety, start_triangle);
-    if (t == -1) return defvalue;
-
-    start_triangle = t;
-    vector<int> circumtri;
-
-    circumtri.push_back(t);
-    stack<int> stackA;
-    stack<int> stackB;
-    int tnew, i;
-
-    for (i=0; i<3; i++) {
-        tnew = INDEX3(this->neighbors, t, i);
-        if (tnew != -1) {
-            stackA.push(tnew);
-            stackB.push(t);
-        }
-    }
-    while (!stackA.empty()) {
-        tnew = stackA.top();
-        stackA.pop();
-        t = stackB.top();
-        stackB.pop();
-        double d2 = (SQ(targetx - INDEX2(this->centers,tnew,0))
-                   + SQ(targety - INDEX2(this->centers,tnew,1)));
-        if ((this->radii2[tnew]-d2) > TOLERANCE_EPS) {
-            // tnew is a circumtriangle of the target
-            circumtri.push_back(tnew);
-            for (i=0; i<3; i++) {
-                int ti = INDEX3(this->neighbors, tnew, i);
-                if ((ti != -1) && (ti != t)) {
-                    stackA.push(ti);
-                    stackB.push(tnew);
-                }
-            }
-        }
-    }
-
-    vector<int>::iterator it;
-    double f = 0.0;
-    double A = 0.0;
-    double tA=0.0, yA=0.0, cA=0.0; // Kahan summation temps for A
-    double tf=0.0, yf=0.0, cf=0.0; // Kahan summation temps for f
-
-    vector<int> edge;
-    bool onedge = false;
-    bool onhull = false;
-
-    for (it = circumtri.begin(); it != circumtri.end(); it++) {
-        int t = *it;
-        double vx = INDEX2(this->centers, t, 0);
-        double vy = INDEX2(this->centers, t, 1);
-        vector<double> c(6);
-        for (int i=0; i<3; i++) {
-            int j = EDGE0(i);
-            int k = EDGE1(i);
-
-            if (!circumcenter(
-                    this->x[INDEX3(this->nodes, t, j)],
-                    this->y[INDEX3(this->nodes, t, j)],
-                    this->x[INDEX3(this->nodes, t, k)],
-                    this->y[INDEX3(this->nodes, t, k)],
-                    targetx, targety,
-                    INDEX2(c, i, 0), INDEX2(c, i, 1))) {
-
-                // bail out with the appropriate values if we're actually on a
-                // node
-                if ((fabs(targetx - this->x[INDEX3(this->nodes, t, j)]) < TOLERANCE_EPS)
-                 && (fabs(targety - this->y[INDEX3(this->nodes, t, j)]) < TOLERANCE_EPS)) {
-                    return z[INDEX3(this->nodes, t, j)];
-                } else if ((fabs(targetx - this->x[INDEX3(this->nodes, t, k)]) < TOLERANCE_EPS)
-                        && (fabs(targety - this->y[INDEX3(this->nodes, t, k)]) < TOLERANCE_EPS)) {
-                    return z[INDEX3(this->nodes, t, k)];
-                } else if (!onedge) {
-                    onedge = true;
-                    edge.push_back(INDEX3(this->nodes, t, j));
-                    edge.push_back(INDEX3(this->nodes, t, k));
-                    onhull = (INDEX3(neighbors, t, i) == -1);
-                }
-            }
-        }
-        for (int i=0; i<3; i++) {
-            int j = EDGE0(i);
-            int k = EDGE1(i);
-            int q = INDEX3(this->nodes, t, i);
-            double ati = 0.0;
-
-            if (!onedge || ((edge[0] != q) && edge[1] != q)) {
-                ati = signed_area(vx, vy,
-                                  INDEX2(c, j, 0), INDEX2(c, j, 1),
-                                  INDEX2(c, k, 0), INDEX2(c, k, 1));
-
-
-                yA = ati - cA;
-                tA = A + yA;
-                cA = (tA - A) - yA;
-                A = tA;
-
-                yf = ati*z[q] - cf;
-                tf = f + yf;
-                cf = (tf - f) - yf;
-                f = tf;
-            }
-        }
-    }
-
-    // If we're on an edge, then the scheme of adding up triangles as above
-    // doesn't work so well. We'll take care of these two nodes here.
-    if (onedge) {
-
-        // If we're on the convex hull, then the other nodes don't actually
-        // contribute anything, just the nodes for the edge we're on. The
-        // Voronoi "polygons" are infinite in extent.
-        if (onhull) {
-            double a = (hypot(targetx-x[edge[0]], targety-y[edge[0]]) /
-                        hypot(x[edge[1]]-x[edge[0]], y[edge[1]]-y[edge[0]]));
-            return (1-a) * z[edge[0]] + a*z[edge[1]];
-        }
-
-        set<int> T(circumtri.begin(), circumtri.end());
-        vector<int> newedges0; // the two nodes that edge[0] still connect to
-        vector<int> newedges1; // the two nodes that edge[1] still connect to
-        set<int> alltri0; // all of the circumtriangle edge[0] participates in
-        set<int> alltri1; // all of the circumtriangle edge[1] participates in
-        for (it = circumtri.begin(); it != circumtri.end(); it++) {
-            for (int i=0; i<3; i++) {
-                int ti = INDEX3(this->neighbors, *it, i);
-                int j = EDGE0(i);
-                int k = EDGE1(i);
-                int q0 = INDEX3(this->nodes, *it, j);
-                int q1 = INDEX3(this->nodes, *it, k);
-
-                if ((q0 == edge[0]) || (q1 == edge[0])) alltri0.insert(*it);
-                if ((q0 == edge[1]) || (q1 == edge[1])) alltri1.insert(*it);
-
-                if (!T.count(ti)) {
-                    // neighbor is not in the set of circumtriangles
-                    if (q0 == edge[0]) newedges0.push_back(q1);
-                    if (q1 == edge[0]) newedges0.push_back(q0);
-                    if (q0 == edge[1]) newedges1.push_back(q1);
-                    if (q1 == edge[1]) newedges1.push_back(q0);
-                }
-            }
-        }
-
-        set<int>::iterator sit;
-
-        double cx, cy;
-        ConvexPolygon poly0;
-        ConvexPolygon poly1;
-
-        if (edge[1] != newedges0[0]) {
-            circumcenter(this->x[edge[0]], this->y[edge[0]],
-                         this->x[newedges0[0]], this->y[newedges0[0]],
-                         targetx, targety,
-                         cx, cy);
-            poly0.push(cx, cy);
-        }
-        if (edge[1] != newedges0[1]) {
-            circumcenter(this->x[edge[0]], this->y[edge[0]],
-                         this->x[newedges0[1]], this->y[newedges0[1]],
-                         targetx, targety,
-                         cx, cy);
-            poly0.push(cx, cy);
-        }
-
-        if (edge[0] != newedges1[0]) {
-            circumcenter(this->x[edge[1]], this->y[edge[1]],
-                         this->x[newedges1[0]], this->y[newedges1[0]],
-                         targetx, targety,
-                         cx, cy);
-            poly1.push(cx, cy);
-        }
-        if (edge[0] != newedges1[1]) {
-            circumcenter(this->x[edge[1]], this->y[edge[1]],
-                         this->x[newedges1[1]], this->y[newedges1[1]],
-                         targetx, targety,
-                         cx, cy);
-            poly1.push(cx, cy);
-        }
-
-        for (sit = alltri0.begin(); sit != alltri0.end(); sit++) {
-            poly0.push(INDEX2(this->centers, *sit, 0),
-                       INDEX2(this->centers, *sit, 1));
-        }
-        for (sit = alltri1.begin(); sit != alltri1.end(); sit++) {
-            poly1.push(INDEX2(this->centers, *sit, 0),
-                       INDEX2(this->centers, *sit, 1));
-        }
-
-        double a0 = poly0.area();
-        double a1 = poly1.area();
-
-
-        f += a0*z[edge[0]];
-        A += a0;
-        f += a1*z[edge[1]];
-        A += a1;
-
-        // Anticlimactic, isn't it?
-    }
-
-    f /= A;
-    return f;
-}
-
-void NaturalNeighbors::interpolate_grid(double *z,
-    double x0, double x1, int xsteps,
-    double y0, double y1, int ysteps,
-    double *output,
-    double defvalue, int start_triangle)
-{
-    int ix, iy, rowtri, coltri, tri;
-    double dx, dy, targetx, targety;
-
-    dx = (x1 - x0) / (xsteps-1);
-    dy = (y1 - y0) / (ysteps-1);
-
-    rowtri = 0;
-    for (iy=0; iy<ysteps; iy++) {
-        targety = y0 + dy*iy;
-        rowtri = find_containing_triangle(x0, targety, rowtri);
-        tri = rowtri;
-        for (ix=0; ix<xsteps; ix++) {
-            targetx = x0 + dx*ix;
-            coltri = tri;
-            INDEXN(output, xsteps, iy, ix) = interpolate_one(z, targetx, targety,
-                defvalue, coltri);
-            if (coltri != -1) tri = coltri;
-        }
-    }
-}
-
-void NaturalNeighbors::interpolate_unstructured(double *z, int size,
-    double *intx, double *inty, double *output, double defvalue)
-{
-    int i, tri1, tri2;
-
-    tri1 = 0;
-    tri2 = 0;
-    for (i=0; i<size; i++) {
-        tri2 = tri1;
-        output[i] = interpolate_one(z, intx[i], inty[i], defvalue, tri2);
-        if (tri2 != -1) tri1 = tri2;
-    }
-}
diff --git a/lib/matplotlib/delaunay/natneighbors.h b/lib/matplotlib/delaunay/natneighbors.h
deleted file mode 100644
index 1fef87be9f19..000000000000
--- a/lib/matplotlib/delaunay/natneighbors.h
+++ /dev/null
@@ -1,33 +0,0 @@
-#ifndef _NATNEIGHBORS_H
-#define _NATNEIGHBORS_H
-
-#include <list>
-using namespace std;
-
-class NaturalNeighbors
-{
-public:
-    NaturalNeighbors(int npoints, int ntriangles, double *x, double *y,
-        double *centers, int *nodes, int *neighbors);
-    ~NaturalNeighbors();
-
-    double interpolate_one(double *z, double targetx, double targety,
-        double defvalue, int &start_triangle);
-
-    void interpolate_grid(double *z, 
-        double x0, double x1, int xsteps,
-        double y0, double y1, int ysteps,
-        double *output, double defvalue, int start_triangle);
-
-    void interpolate_unstructured(double *z, int size, 
-        double *intx, double *inty, double *output, double defvalue);
-
-private:
-    int npoints, ntriangles;
-    double *x, *y, *centers, *radii2;
-    int *nodes, *neighbors;
-
-    int find_containing_triangle(double targetx, double targety, int start_triangle);
-};
-
-#endif // _NATNEIGHBORS_H
diff --git a/lib/matplotlib/delaunay/testfuncs.py b/lib/matplotlib/delaunay/testfuncs.py
deleted file mode 100644
index 40d203ddb582..000000000000
--- a/lib/matplotlib/delaunay/testfuncs.py
+++ /dev/null
@@ -1,499 +0,0 @@
-"""Some test functions for bivariate interpolation.
-
-Most of these have been yoinked from ACM TOMS 792.
-http://netlib.org/toms/792
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-
-import numpy as np
-from .triangulate import Triangulation
-
-
-class TestData(dict):
-    def __init__(self, *args, **kwds):
-        dict.__init__(self, *args, **kwds)
-        self.__dict__ = self
-
-
-class TestDataSet(object):
-    def __init__(self, **kwds):
-        self.__dict__.update(kwds)
-
-data = TestData(
-franke100=TestDataSet(
-    x=np.array([0.0227035,  0.0539888,  0.0217008,  0.0175129,  0.0019029,
-                -0.0509685,  0.0395408, -0.0487061,  0.0315828, -0.0418785,
-                0.1324189,  0.1090271,  0.1254439,  0.093454,   0.0767578,
-                0.1451874,  0.0626494,  0.1452734,  0.0958668,  0.0695559,
-                0.2645602,  0.2391645,  0.208899,   0.2767329,  0.1714726,
-                0.2266781,  0.1909212,  0.1867647,  0.2304634,  0.2426219,
-                0.3663168,  0.3857662,  0.3832392,  0.3179087,  0.3466321,
-                0.3776591,  0.3873159,  0.3812917,  0.3795364,  0.2803515,
-                0.4149771,  0.4277679,  0.420001,   0.4663631,  0.4855658,
-                0.4092026,  0.4792578,  0.4812279,  0.3977761,  0.4027321,
-                0.5848691,  0.5730076,  0.6063893,  0.5013894,  0.5741311,
-                0.6106955,  0.5990105,  0.5380621,  0.6096967,  0.5026188,
-                0.6616928,  0.6427836,  0.6396475,  0.6703963,  0.7001181,
-                0.633359,   0.6908947,  0.6895638,  0.6718889,  0.6837675,
-                0.7736939,  0.7635332,  0.7410424,  0.8258981,  0.7306034,
-                0.8086609,  0.8214531,  0.729064,   0.8076643,  0.8170951,
-                0.8424572,  0.8684053,  0.8366923,  0.9418461,  0.8478122,
-                0.8599583,  0.91757,    0.8596328,  0.9279871,  0.8512805,
-                1.044982,   0.9670631,  0.9857884,  0.9676313,  1.0129299,
-                0.965704,   1.0019855,  1.0359297,  1.0414677,  0.9471506]),
-    y=np.array([-0.0310206,  0.1586742,  0.2576924,  0.3414014,  0.4943596,
-                 0.5782854,  0.6993418,  0.7470194,  0.9107649,  0.996289,
-                 0.050133,   0.0918555,  0.2592973,  0.3381592,  0.4171125,
-                 0.5615563,  0.6552235,  0.7524066,  0.9146523,  0.9632421,
-                 0.0292939,  0.0602303,  0.2668783,  0.3696044,  0.4801738,
-                 0.5940595,  0.6878797,  0.8185576,  0.9046507,  0.9805412,
-                 0.0396955,  0.0684484,  0.2389548,  0.3124129,  0.4902989,
-                 0.5199303,  0.6445227,  0.8203789,  0.8938079,  0.9711719,
-                -0.0284618,  0.1560965,  0.2262471,  0.3175094,  0.3891417,
-                 0.5084949,  0.6324247,  0.7511007,  0.8489712,  0.9978728,
-                -0.0271948,  0.127243,   0.2709269,  0.3477728,  0.4259422,
-                 0.6084711,  0.6733781,  0.7235242,  0.9242411,  1.0308762,
-                 0.0255959,  0.0707835,  0.2008336,  0.3259843,  0.4890704,
-                 0.5096324,  0.669788,   0.7759569,  0.9366096,  1.0064516,
-                 0.0285374,  0.1021403,  0.1936581,  0.3235775,  0.4714228,
-                 0.6091595,  0.6685053,  0.8022808,  0.847679,   1.0512371,
-                 0.0380499,  0.0902048,  0.2083092,  0.3318491,  0.4335632,
-                 0.5910139,  0.6307383,  0.8144841,  0.904231,   0.969603,
-                -0.01209,    0.1334114,  0.2695844,  0.3795281,  0.4396054,
-                 0.5044425,  0.6941519,  0.7459923,  0.8682081,  0.9801409])),
-franke33=TestDataSet(
-    x=np.array([5.00000000e-02,   0.00000000e+00,   0.00000000e+00,
-                0.00000000e+00,   1.00000000e-01,   1.00000000e-01,
-                1.50000000e-01,   2.00000000e-01,   2.50000000e-01,
-                3.00000000e-01,   3.50000000e-01,   5.00000000e-01,
-                5.00000000e-01,   5.50000000e-01,   6.00000000e-01,
-                6.00000000e-01,   6.00000000e-01,   6.50000000e-01,
-                7.00000000e-01,   7.00000000e-01,   7.00000000e-01,
-                7.50000000e-01,   7.50000000e-01,   7.50000000e-01,
-                8.00000000e-01,   8.00000000e-01,   8.50000000e-01,
-                9.00000000e-01,   9.00000000e-01,   9.50000000e-01,
-                1.00000000e+00,   1.00000000e+00,   1.00000000e+00]),
-    y=np.array([4.50000000e-01,   5.00000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.50000000e-01,   7.50000000e-01,
-                3.00000000e-01,   1.00000000e-01,   2.00000000e-01,
-                3.50000000e-01,   8.50000000e-01,   0.00000000e+00,
-                1.00000000e+00,   9.50000000e-01,   2.50000000e-01,
-                6.50000000e-01,   8.50000000e-01,   7.00000000e-01,
-                2.00000000e-01,   6.50000000e-01,   9.00000000e-01,
-                1.00000000e-01,   3.50000000e-01,   8.50000000e-01,
-                4.00000000e-01,   6.50000000e-01,   2.50000000e-01,
-                3.50000000e-01,   8.00000000e-01,   9.00000000e-01,
-                0.00000000e+00,   5.00000000e-01,   1.00000000e+00])),
-lawson25=TestDataSet(
-    x=np.array([0.1375,  0.9125,  0.7125,  0.225, -0.05,    0.475,   0.05,
-                0.45,    1.0875,  0.5375, -0.0375, 0.1875,  0.7125,  0.85,
-                0.7,     0.275,   0.45,    0.8125, 0.45,    1.,      0.5,
-                0.1875,  0.5875,  1.05,    0.1]),
-    y=np.array([0.975,    0.9875,   0.7625,  0.8375, 0.4125, 0.6375,
-               -0.05,     1.0375,   0.55,    0.8,    0.75,   0.575,
-                0.55,     0.4375,   0.3125,  0.425,  0.2875, 0.1875,
-               -0.0375,   0.2625,   0.4625,  0.2625, 0.125, -0.06125,
-                0.1125])),
-random100=TestDataSet(
-    x=np.array([0.0096326,  0.0216348,  0.029836,   0.0417447,  0.0470462,
-                0.0562965,  0.0646857,  0.0740377,  0.0873907,  0.0934832,
-                0.1032216,  0.1110176,  0.1181193,  0.1251704,  0.132733,
-                0.1439536,  0.1564861,  0.1651043,  0.1786039,  0.1886405,
-                0.2016706,  0.2099886,  0.2147003,  0.2204141,  0.2343715,
-                0.240966,   0.252774,   0.2570839,  0.2733365,  0.2853833,
-                0.2901755,  0.2964854,  0.3019725,  0.3125695,  0.3307163,
-                0.3378504,  0.3439061,  0.3529922,  0.3635507,  0.3766172,
-                0.3822429,  0.3869838,  0.3973137,  0.4170708,  0.4255588,
-                0.4299218,  0.4372839,  0.4705033,  0.4736655,  0.4879299,
-                0.494026,   0.5055324,  0.5162593,  0.5219219,  0.5348529,
-                0.5483213,  0.5569571,  0.5638611,  0.5784908,  0.586395,
-                0.5929148,  0.5987839,  0.6117561,  0.6252296,  0.6331381,
-                0.6399048,  0.6488972,  0.6558537,  0.6677405,  0.6814074,
-                0.6887812,  0.6940896,  0.7061687,  0.7160957,  0.7317445,
-                0.7370798,  0.746203,   0.7566957,  0.7699998,  0.7879347,
-                0.7944014,  0.8164468,  0.8192794,  0.8368405,  0.8500993,
-                0.8588255,  0.8646496,  0.8792329,  0.8837536,  0.8900077,
-                0.8969894,  0.9044917,  0.9083947,  0.9203972,  0.9347906,
-                0.9434519,  0.9490328,  0.9569571,  0.9772067,  0.9983493]),
-y=np.array([0.3083158,  0.2450434,  0.8613847,  0.0977864,  0.3648355,
-            0.7156339,  0.5311312,  0.9755672,  0.1781117,  0.5452797,
-            0.1603881,  0.7837139,  0.9982015,  0.6910589,  0.104958,
-            0.8184662,  0.7086405,  0.4456593,  0.1178342,  0.3189021,
-            0.9668446,  0.7571834,  0.2016598,  0.3232444,  0.4368583,
-            0.8907869,  0.064726,   0.5692618,  0.2947027,  0.4332426,
-            0.3347464,  0.7436284,  0.1066265,  0.8845357,  0.515873,
-            0.9425637,  0.4799701,  0.1783069,  0.114676,   0.8225797,
-            0.2270688,  0.4073598,  0.887508,   0.7631616,  0.9972804,
-            0.4959884,  0.3410421,  0.249812,   0.6409007,  0.105869,
-            0.5411969,  0.0089792,  0.8784268,  0.5515874,  0.4038952,
-            0.1654023,  0.2965158,  0.3660356,  0.0366554,  0.950242,
-            0.2638101,  0.9277386,  0.5377694,  0.7374676,  0.4674627,
-            0.9186109,  0.0416884,  0.1291029,  0.6763676,  0.8444238,
-            0.3273328,  0.1893879,  0.0645923,  0.0180147,  0.8904992,
-            0.4160648,  0.4688995,  0.2174508,  0.5734231,  0.8853319,
-            0.8018436,  0.6388941,  0.8931002,  0.1000558,  0.2789506,
-            0.9082948,  0.3259159,  0.8318747,  0.0508513,  0.970845,
-            0.5120548,  0.2859716,  0.9581641,  0.6183429,  0.3779934,
-            0.4010423,  0.9478657,  0.7425486,  0.8883287,  0.549675])),
-uniform9=TestDataSet(
-    x=np.array([1.25000000e-01,   0.00000000e+00,   0.00000000e+00,
-                0.00000000e+00,   0.00000000e+00,   0.00000000e+00,
-                0.00000000e+00,   0.00000000e+00,   0.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   1.25000000e-01,
-                1.25000000e-01,   1.25000000e-01,   1.25000000e-01,
-                1.25000000e-01,   1.25000000e-01,   1.25000000e-01,
-                2.50000000e-01,   2.50000000e-01,   2.50000000e-01,
-                2.50000000e-01,   2.50000000e-01,   2.50000000e-01,
-                2.50000000e-01,   2.50000000e-01,   2.50000000e-01,
-                3.75000000e-01,   3.75000000e-01,   3.75000000e-01,
-                3.75000000e-01,   3.75000000e-01,   3.75000000e-01,
-                3.75000000e-01,   3.75000000e-01,   3.75000000e-01,
-                5.00000000e-01,   5.00000000e-01,   5.00000000e-01,
-                5.00000000e-01,   5.00000000e-01,   5.00000000e-01,
-                5.00000000e-01,   5.00000000e-01,   5.00000000e-01,
-                6.25000000e-01,   6.25000000e-01,   6.25000000e-01,
-                6.25000000e-01,   6.25000000e-01,   6.25000000e-01,
-                6.25000000e-01,   6.25000000e-01,   6.25000000e-01,
-                7.50000000e-01,   7.50000000e-01,   7.50000000e-01,
-                7.50000000e-01,   7.50000000e-01,   7.50000000e-01,
-                7.50000000e-01,   7.50000000e-01,   7.50000000e-01,
-                8.75000000e-01,   8.75000000e-01,   8.75000000e-01,
-                8.75000000e-01,   8.75000000e-01,   8.75000000e-01,
-                8.75000000e-01,   8.75000000e-01,   8.75000000e-01,
-                1.00000000e+00,   1.00000000e+00,   1.00000000e+00,
-                1.00000000e+00,   1.00000000e+00,   1.00000000e+00,
-                1.00000000e+00,   1.00000000e+00,   1.00000000e+00]),
-    y=np.array([0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00,
-                0.00000000e+00,   1.25000000e-01,   2.50000000e-01,
-                3.75000000e-01,   5.00000000e-01,   6.25000000e-01,
-                7.50000000e-01,   8.75000000e-01,   1.00000000e+00])),
-)
-
-
-def constant(x, y):
-    return np.ones(x.shape, x.dtype)
-constant.title = 'Constant'
-
-
-def xramp(x, y):
-    return x
-xramp.title = 'X Ramp'
-
-
-def yramp(x, y):
-    return y
-yramp.title = 'Y Ramp'
-
-
-def exponential(x, y):
-    x = x * 9
-    y = y * 9
-    x1 = x + 1.0
-    x2 = x - 2.0
-    x4 = x - 4.0
-    x7 = x - 7.0
-    y1 = x + 1.0
-    y2 = y - 2.0
-    y3 = y - 3.0
-    y7 = y - 7.0
-    f = (0.75 * np.exp(-(x2 * x2 + y2 * y2) / 4.0) +
-         0.75 * np.exp(-x1 * x1 / 49.0 - y1 / 10.0) +
-         0.5 * np.exp(-(x7 * x7 + y3 * y3) / 4.0) -
-         0.2 * np.exp(-x4 * x4 - y7 * y7))
-    return f
-exponential.title = 'Exponential and Some Gaussians'
-
-
-def cliff(x, y):
-    f = np.tanh(9.0 * (y - x) + 1.0) / 9.0
-    return f
-cliff.title = 'Cliff'
-
-
-def saddle(x, y):
-    f = (1.25 + np.cos(5.4 * y)) / (6.0 + 6.0 * (3 * x - 1.0) ** 2)
-    return f
-saddle.title = 'Saddle'
-
-
-def gentle(x, y):
-    f = np.exp(-5.0625 * ((x - 0.5) ** 2 + (y - 0.5) ** 2)) / 3.0
-    return f
-gentle.title = 'Gentle Peak'
-
-
-def steep(x, y):
-    f = np.exp(-20.25 * ((x - 0.5) ** 2 + (y - 0.5) ** 2)) / 3.0
-    return f
-steep.title = 'Steep Peak'
-
-
-def sphere(x, y):
-    circle = 64 - 81 * ((x - 0.5) ** 2 + (y - 0.5) ** 2)
-    f = np.where(circle >= 0, np.sqrt(np.clip(circle, 0, 100)) - 0.5, 0.0)
-    return f
-sphere.title = 'Sphere'
-
-
-def trig(x, y):
-    f = 2.0 * np.cos(10.0 * x) * np.sin(10.0 * y) + np.sin(10.0 * x * y)
-    return f
-trig.title = 'Cosines and Sines'
-
-
-def gauss(x, y):
-    x = 5.0 - 10.0 * x
-    y = 5.0 - 10.0 * y
-    g1 = np.exp(-x * x / 2)
-    g2 = np.exp(-y * y / 2)
-    f = g1 + 0.75 * g2 * (1 + g1)
-    return f
-gauss.title = 'Gaussian Peak and Gaussian Ridges'
-
-
-def cloverleaf(x, y):
-    ex = np.exp((10.0 - 20.0 * x) / 3.0)
-    ey = np.exp((10.0 - 20.0 * y) / 3.0)
-    logitx = 1.0 / (1.0 + ex)
-    logity = 1.0 / (1.0 + ey)
-    f = (((20.0 / 3.0) ** 3 * ex * ey) ** 2 * (logitx * logity) ** 5 *
-        (ex - 2.0 * logitx) * (ey - 2.0 * logity))
-    return f
-cloverleaf.title = 'Cloverleaf'
-
-
-def cosine_peak(x, y):
-    circle = np.hypot(80 * x - 40.0, 90 * y - 45.)
-    f = np.exp(-0.04 * circle) * np.cos(0.15 * circle)
-    return f
-cosine_peak.title = 'Cosine Peak'
-
-allfuncs = [exponential, cliff, saddle, gentle, steep, sphere, trig, gauss,
-            cloverleaf, cosine_peak]
-
-
-class LinearTester(object):
-    name = 'Linear'
-
-    def __init__(self, xrange=(0.0, 1.0), yrange=(0.0, 1.0),
-                 nrange=101, npoints=250):
-        self.xrange = xrange
-        self.yrange = yrange
-        self.nrange = nrange
-        self.npoints = npoints
-
-        rng = np.random.RandomState(1234567890)
-        self.x = rng.uniform(xrange[0], xrange[1], size=npoints)
-        self.y = rng.uniform(yrange[0], yrange[1], size=npoints)
-        self.tri = Triangulation(self.x, self.y)
-
-    def replace_data(self, dataset):
-        self.x = dataset.x
-        self.y = dataset.y
-        self.tri = Triangulation(self.x, self.y)
-
-    def interpolator(self, func):
-        z = func(self.x, self.y)
-        return self.tri.linear_extrapolator(z, bbox=self.xrange + self.yrange)
-
-    def plot(self, func, interp=True, plotter='imshow'):
-        import matplotlib as mpl
-        from matplotlib import pylab as pl
-        if interp:
-            lpi = self.interpolator(func)
-            z = lpi[self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
-                    self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
-        else:
-            y, x = np.mgrid[
-                self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
-                self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
-            z = func(x, y)
-
-        z = np.where(np.isinf(z), 0.0, z)
-
-        extent = (self.xrange[0], self.xrange[1],
-            self.yrange[0], self.yrange[1])
-        pl.ioff()
-        pl.clf()
-        pl.hot()  # Some like it hot
-        if plotter == 'imshow':
-            pl.imshow(np.nan_to_num(z), interpolation='nearest', extent=extent,
-                      origin='lower')
-        elif plotter == 'contour':
-            Y, X = np.ogrid[
-                self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
-                self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
-            pl.contour(np.ravel(X), np.ravel(Y), z, 20)
-        x = self.x
-        y = self.y
-        lc = mpl.collections.LineCollection(
-            np.array([((x[i], y[i]), (x[j], y[j]))
-                      for i, j in self.tri.edge_db]),
-            colors=[(0, 0, 0, 0.2)])
-        ax = pl.gca()
-        ax.add_collection(lc)
-
-        if interp:
-            title = '%s Interpolant' % self.name
-        else:
-            title = 'Reference'
-        if hasattr(func, 'title'):
-            pl.title('%s: %s' % (func.title, title))
-        else:
-            pl.title(title)
-
-        pl.show()
-        pl.ion()
-
-
-class NNTester(LinearTester):
-    name = 'Natural Neighbors'
-
-    def interpolator(self, func):
-        z = func(self.x, self.y)
-        return self.tri.nn_extrapolator(z, bbox=self.xrange + self.yrange)
-
-
-def plotallfuncs(allfuncs=allfuncs):
-    from matplotlib import pylab as pl
-    pl.ioff()
-    nnt = NNTester(npoints=1000)
-    lpt = LinearTester(npoints=1000)
-    for func in allfuncs:
-        print(func.title)
-        nnt.plot(func, interp=False, plotter='imshow')
-        pl.savefig('%s-ref-img.png' % func.__name__)
-        nnt.plot(func, interp=True, plotter='imshow')
-        pl.savefig('%s-nn-img.png' % func.__name__)
-        lpt.plot(func, interp=True, plotter='imshow')
-        pl.savefig('%s-lin-img.png' % func.__name__)
-        nnt.plot(func, interp=False, plotter='contour')
-        pl.savefig('%s-ref-con.png' % func.__name__)
-        nnt.plot(func, interp=True, plotter='contour')
-        pl.savefig('%s-nn-con.png' % func.__name__)
-        lpt.plot(func, interp=True, plotter='contour')
-        pl.savefig('%s-lin-con.png' % func.__name__)
-    pl.ion()
-
-
-def plot_dt(tri, colors=None):
-    import matplotlib as mpl
-    from matplotlib import pylab as pl
-    if colors is None:
-        colors = [(0, 0, 0, 0.2)]
-    lc = mpl.collections.LineCollection(
-        np.array([((tri.x[i], tri.y[i]), (tri.x[j], tri.y[j]))
-                  for i, j in tri.edge_db]),
-        colors=colors)
-    ax = pl.gca()
-    ax.add_collection(lc)
-    pl.draw_if_interactive()
-
-
-def plot_vo(tri, colors=None):
-    import matplotlib as mpl
-    from matplotlib import pylab as pl
-    if colors is None:
-        colors = [(0, 1, 0, 0.2)]
-    lc = mpl.collections.LineCollection(np.array(
-        [(tri.circumcenters[i], tri.circumcenters[j])
-         for i in xrange(len(tri.circumcenters))
-         for j in tri.triangle_neighbors[i] if j != -1]),
-        colors=colors)
-    ax = pl.gca()
-    ax.add_collection(lc)
-    pl.draw_if_interactive()
-
-
-def plot_cc(tri, edgecolor=None):
-    import matplotlib as mpl
-    from matplotlib import pylab as pl
-    if edgecolor is None:
-        edgecolor = (0, 0, 1, 0.2)
-    dxy = (np.array([(tri.x[i], tri.y[i]) for i, j, k in tri.triangle_nodes])
-        - tri.circumcenters)
-    r = np.hypot(dxy[:, 0], dxy[:, 1])
-    ax = pl.gca()
-    for i in xrange(len(r)):
-        p = mpl.patches.Circle(tri.circumcenters[i], r[i],
-                               resolution=100, edgecolor=edgecolor,
-                               facecolor=(1, 1, 1, 0), linewidth=0.2)
-        ax.add_patch(p)
-    pl.draw_if_interactive()
-
-
-def quality(func, mesh, interpolator='nn', n=33):
-    """Compute a quality factor (the quantity r**2 from TOMS792).
-
-    interpolator must be in ('linear', 'nn').
-    """
-    fz = func(mesh.x, mesh.y)
-    tri = Triangulation(mesh.x, mesh.y)
-    intp = getattr(tri,
-                   interpolator + '_extrapolator')(fz, bbox=(0., 1., 0., 1.))
-    Y, X = np.mgrid[0:1:complex(0, n), 0:1:complex(0, n)]
-    Z = func(X, Y)
-    iz = intp[0:1:complex(0, n), 0:1:complex(0, n)]
-    #nans = np.isnan(iz)
-    #numgood = n*n - np.sum(np.array(nans.flat, np.int32))
-    numgood = n * n
-
-    SE = (Z - iz) ** 2
-    SSE = np.sum(SE.flat)
-    meanZ = np.sum(Z.flat) / numgood
-    SM = (Z - meanZ) ** 2
-    SSM = np.sum(SM.flat)
-
-    r2 = 1.0 - SSE / SSM
-    print(func.__name__, r2, SSE, SSM, numgood)
-    return r2
-
-
-def allquality(interpolator='nn', allfuncs=allfuncs, data=data, n=33):
-    results = {}
-    kv = list(six.iteritems(data))
-    kv.sort()
-    for name, mesh in kv:
-        reslist = results.setdefault(name, [])
-        for func in allfuncs:
-            reslist.append(quality(func, mesh, interpolator, n))
-    return results
-
-
-def funky():
-    x0 = np.array([0.25, 0.3, 0.5, 0.6, 0.6])
-    y0 = np.array([0.2, 0.35, 0.0, 0.25, 0.65])
-    tx = 0.46
-    ty = 0.23
-    t0 = Triangulation(x0, y0)
-    t1 = Triangulation(np.hstack((x0, [tx])), np.hstack((y0, [ty])))
-    return t0, t1
diff --git a/lib/matplotlib/delaunay/triangulate.py b/lib/matplotlib/delaunay/triangulate.py
deleted file mode 100644
index 7de24ad78215..000000000000
--- a/lib/matplotlib/delaunay/triangulate.py
+++ /dev/null
@@ -1,260 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
-
-import warnings
-
-
-import numpy as np
-
-from matplotlib._delaunay import delaunay
-from .interpolate import LinearInterpolator, NNInterpolator
-from matplotlib.cbook import warn_deprecated
-warn_deprecated('1.4',
-                name='matplotlib.delaunay',
-                alternative='matplotlib.tri.Triangulation',
-                obj_type='module')
-
-__all__ = ['Triangulation', 'DuplicatePointWarning']
-
-
-class DuplicatePointWarning(RuntimeWarning):
-    """Duplicate points were passed in to the triangulation routine.
-    """
-
-
-class Triangulation(object):
-    """A Delaunay triangulation of points in a plane.
-
-    Triangulation(x, y)
-    x, y -- the coordinates of the points as 1-D arrays of floats
-
-    Let us make the following definitions:
-        npoints = number of points input
-        nedges = number of edges in the triangulation
-        ntriangles = number of triangles in the triangulation
-
-        point_id = an integer identifying a particular point (specifically, an
-            index into x and y), range(0, npoints)
-        edge_id = an integer identifying a particular edge, range(0, nedges)
-        triangle_id = an integer identifying a particular triangle
-            range(0, ntriangles)
-
-    Attributes: (all should be treated as read-only to maintain consistency)
-      x, y -- the coordinates of the points as 1-D arrays of floats.
-
-      circumcenters -- (ntriangles, 2) array of floats giving the (x,y)
-        coordinates of the circumcenters of each triangle (indexed by a
-        triangle_id).
-
-      edge_db -- (nedges, 2) array of point_id's giving the points forming
-        each edge in no particular order; indexed by an edge_id.
-
-      triangle_nodes -- (ntriangles, 3) array of point_id's giving the points
-        forming each triangle in counter-clockwise order; indexed by a
-        triangle_id.
-
-      triangle_neighbors -- (ntriangles, 3) array of triangle_id's giving the
-        neighboring triangle; indexed by a triangle_id.
-
-        The value can also be -1 meaning that that edge is on the convex hull
-        of the points and there is no neighbor on that edge. The values are
-        ordered such that triangle_neighbors[tri, i] corresponds with the edge
-        *opposite* triangle_nodes[tri, i]. As such, these neighbors are also
-        in counter-clockwise order.
-
-      hull -- list of point_id's giving the nodes which form the convex hull
-        of the point set. This list is sorted in counter-clockwise order.
-
-    Duplicate points.
-      If there are no duplicate points, Triangulation stores the specified
-      x and y arrays and there is no difference between the client's and
-      Triangulation's understanding of point indices used in edge_db,
-      triangle_nodes and hull.
-
-      If there are duplicate points, they are removed from the stored
-      self.x and self.y as the underlying delaunay code cannot deal with
-      duplicates.  len(self.x) is therefore equal to len(x) minus the
-      number of duplicate points.  Triangulation's edge_db, triangle_nodes
-      and hull refer to point indices in self.x and self.y, for internal
-      consistency within Triangulation and the corresponding Interpolator
-      classes.  Client code must take care to deal with this in one of
-      two ways:
-
-      1. Ignore the x,y it specified in Triangulation's constructor and
-         use triangulation.x and triangulation.y instead, as these are
-         consistent with edge_db, triangle_nodes and hull.
-
-      2. If using the x,y the client specified then edge_db,
-         triangle_nodes and hull should be passed through the function
-         to_client_point_indices() first.
-    """
-    def __init__(self, x, y):
-        self.x = np.asarray(x, dtype=np.float64)
-        self.y = np.asarray(y, dtype=np.float64)
-
-        if self.x.shape != self.y.shape or len(self.x.shape) != 1:
-            raise ValueError("x,y must be equal-length 1-D arrays")
-
-        self.old_shape = self.x.shape
-        duplicates = self._get_duplicate_point_indices()
-
-        if len(duplicates) > 0:
-            warnings.warn(
-                "Input data contains duplicate x,y points; some values are "
-                "ignored.",
-                DuplicatePointWarning,
-            )
-
-            # self.j_unique is the array of non-duplicate indices, in
-            # increasing order.
-            self.j_unique = np.delete(np.arange(len(self.x)), duplicates)
-            self.x = self.x[self.j_unique]
-            self.y = self.y[self.j_unique]
-        else:
-            self.j_unique = None
-
-        # If there are duplicate points, need a map of point indices used
-        # by delaunay to those used by client.  If there are no duplicate
-        # points then the map is not needed.  Either way, the map is
-        # conveniently the same as j_unique, so share it.
-        self._client_point_index_map = self.j_unique
-
-        self.circumcenters, self.edge_db, self.triangle_nodes, \
-            self.triangle_neighbors = delaunay(self.x, self.y)
-
-        self.hull = self._compute_convex_hull()
-
-    def _get_duplicate_point_indices(self):
-        """Return array of indices of x,y points that are duplicates of
-        previous points. Indices are in no particular order.
-        """
-        # Indices of sorted x,y points.
-        j_sorted = np.lexsort(keys=(self.x, self.y))
-        mask_duplicates = np.hstack([
-            False,
-            (np.diff(self.x[j_sorted]) == 0) &
-            (np.diff(self.y[j_sorted]) == 0),
-        ])
-
-        # Array of duplicate point indices, in no particular order.
-        return j_sorted[mask_duplicates]
-
-    def _compute_convex_hull(self):
-        """Extract the convex hull from the triangulation information.
-
-        The output will be a list of point_id's in counter-clockwise order
-        forming the convex hull of the data set.
-        """
-        border = (self.triangle_neighbors == -1)
-
-        edges = {}
-        edges.update(dict(zip(self.triangle_nodes[border[:, 0]][:, 1],
-                               self.triangle_nodes[border[:, 0]][:, 2])))
-        edges.update(dict(zip(self.triangle_nodes[border[:, 1]][:, 2],
-                               self.triangle_nodes[border[:, 1]][:, 0])))
-        edges.update(dict(zip(self.triangle_nodes[border[:, 2]][:, 0],
-                               self.triangle_nodes[border[:, 2]][:, 1])))
-
-        # Take an arbitrary starting point and its subsequent node
-        hull = list(edges.popitem())
-        while edges:
-            hull.append(edges.pop(hull[-1]))
-
-        # hull[-1] == hull[0], so remove hull[-1]
-        hull.pop()
-
-        return hull
-
-    def to_client_point_indices(self, array):
-        """Converts any array of point indices used within this class to
-        refer to point indices within the (x,y) arrays specified in the
-        constructor before duplicates were removed.
-        """
-        if self._client_point_index_map is not None:
-            return self._client_point_index_map[array]
-        else:
-            return array
-
-    def linear_interpolator(self, z, default_value=np.nan):
-        """Get an object which can interpolate within the convex hull by
-        assigning a plane to each triangle.
-
-        z -- an array of floats giving the known function values at each point
-          in the triangulation.
-        """
-        z = np.asarray(z, dtype=np.float64)
-        if z.shape != self.old_shape:
-            raise ValueError("z must be the same shape as x and y")
-        if self.j_unique is not None:
-            z = z[self.j_unique]
-
-        return LinearInterpolator(self, z, default_value)
-
-    def nn_interpolator(self, z, default_value=np.nan):
-        """Get an object which can interpolate within the convex hull by
-        the natural neighbors method.
-
-        z -- an array of floats giving the known function values at each point
-          in the triangulation.
-        """
-        z = np.asarray(z, dtype=np.float64)
-        if z.shape != self.old_shape:
-            raise ValueError("z must be the same shape as x and y")
-        if self.j_unique is not None:
-            z = z[self.j_unique]
-
-        return NNInterpolator(self, z, default_value)
-
-    def prep_extrapolator(self, z, bbox=None):
-        if bbox is None:
-            bbox = (self.x[0], self.x[0], self.y[0], self.y[0])
-        minx, maxx, miny, maxy = np.asarray(bbox, np.float64)
-        minx = min(minx, np.minimum.reduce(self.x))
-        miny = min(miny, np.minimum.reduce(self.y))
-        maxx = max(maxx, np.maximum.reduce(self.x))
-        maxy = max(maxy, np.maximum.reduce(self.y))
-        M = max((maxx - minx) / 2, (maxy - miny) / 2)
-        midx = (minx + maxx) / 2.0
-        midy = (miny + maxy) / 2.0
-
-        xp, yp = np.array([[midx + 3 * M, midx, midx - 3 * M],
-                           [midy, midy + 3 * M, midy - 3 * M]])
-        x1 = np.hstack((self.x, xp))
-        y1 = np.hstack((self.y, yp))
-        newtri = self.__class__(x1, y1)
-
-        # do a least-squares fit to a plane to make pseudo-data
-        xy1 = np.ones((len(self.x), 3), np.float64)
-        xy1[:, 0] = self.x
-        xy1[:, 1] = self.y
-        from numpy.dual import lstsq
-        c, res, rank, s = lstsq(xy1, z)
-        zp = np.hstack((z, xp * c[0] + yp * c[1] + c[2]))
-
-        return newtri, zp
-
-    def nn_extrapolator(self, z, bbox=None, default_value=np.nan):
-        newtri, zp = self.prep_extrapolator(z, bbox)
-        return newtri.nn_interpolator(zp, default_value)
-
-    def linear_extrapolator(self, z, bbox=None, default_value=np.nan):
-        newtri, zp = self.prep_extrapolator(z, bbox)
-        return newtri.linear_interpolator(zp, default_value)
-
-    def node_graph(self):
-        """Return a graph of node_id's pointing to node_id's.
-
-        The arcs of the graph correspond to the edges in the triangulation.
-
-        {node_id: set([node_id, ...]), ...}
-        """
-        g = {}
-        for i, j in self.edge_db:
-            s = g.setdefault(i, set())
-            s.add(j)
-            s = g.setdefault(j, set())
-            s.add(i)
-        return g
diff --git a/lib/matplotlib/docstring.py b/lib/matplotlib/docstring.py
deleted file mode 100644
index cf9537f0c6fe..000000000000
--- a/lib/matplotlib/docstring.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib import cbook
-import sys
-import types
-
-
-class Substitution(object):
-    """
-    A decorator to take a function's docstring and perform string
-    substitution on it.
-
-    This decorator should be robust even if func.__doc__ is None
-    (for example, if -OO was passed to the interpreter)
-
-    Usage: construct a docstring.Substitution with a sequence or
-    dictionary suitable for performing substitution; then
-    decorate a suitable function with the constructed object. e.g.
-
-    sub_author_name = Substitution(author='Jason')
-
-    @sub_author_name
-    def some_function(x):
-        "%(author)s wrote this function"
-
-    # note that some_function.__doc__ is now "Jason wrote this function"
-
-    One can also use positional arguments.
-
-    sub_first_last_names = Substitution('Edgar Allen', 'Poe')
-
-    @sub_first_last_names
-    def some_function(x):
-        "%s %s wrote the Raven"
-    """
-    def __init__(self, *args, **kwargs):
-        assert not (len(args) and len(kwargs)), \
-                "Only positional or keyword args are allowed"
-        self.params = args or kwargs
-
-    def __call__(self, func):
-        func.__doc__ = func.__doc__ and func.__doc__ % self.params
-        return func
-
-    def update(self, *args, **kwargs):
-        "Assume self.params is a dict and update it with supplied args"
-        self.params.update(*args, **kwargs)
-
-    @classmethod
-    def from_params(cls, params):
-        """
-        In the case where the params is a mutable sequence (list or
-        dictionary) and it may change before this class is called, one may
-        explicitly use a reference to the params rather than using *args or
-        **kwargs which will copy the values and not reference them.
-        """
-        result = cls()
-        result.params = params
-        return result
-
-
-class Appender(object):
-    """
-    A function decorator that will append an addendum to the docstring
-    of the target function.
-
-    This decorator should be robust even if func.__doc__ is None
-    (for example, if -OO was passed to the interpreter).
-
-    Usage: construct a docstring.Appender with a string to be joined to
-    the original docstring. An optional 'join' parameter may be supplied
-    which will be used to join the docstring and addendum. e.g.
-
-    add_copyright = Appender("Copyright (c) 2009", join='\n')
-
-    @add_copyright
-    def my_dog(has='fleas'):
-        "This docstring will have a copyright below"
-        pass
-    """
-    def __init__(self, addendum, join=''):
-        self.addendum = addendum
-        self.join = join
-
-    def __call__(self, func):
-        docitems = [func.__doc__, self.addendum]
-        func.__doc__ = func.__doc__ and self.join.join(docitems)
-        return func
-
-
-def dedent(func):
-    "Dedent a docstring (if present)"
-    func.__doc__ = func.__doc__ and cbook.dedent(func.__doc__)
-    return func
-
-
-def copy(source):
-    "Copy a docstring from another source function (if present)"
-    def do_copy(target):
-        if source.__doc__:
-            target.__doc__ = source.__doc__
-        return target
-    return do_copy
-
-# create a decorator that will house the various documentation that
-#  is reused throughout matplotlib
-interpd = Substitution()
-
-
-def dedent_interpd(func):
-    """A special case of the interpd that first performs a dedent on
-    the incoming docstring"""
-    if isinstance(func, types.MethodType) and not six.PY3:
-        func = func.im_func
-    return interpd(dedent(func))
-
-
-def copy_dedent(source):
-    """A decorator that will copy the docstring from the source and
-    then dedent it"""
-    # note the following is ugly because "Python is not a functional
-    # language" - GVR. Perhaps one day, functools.compose will exist.
-    #  or perhaps not.
-    #  http://mail.python.org/pipermail/patches/2007-February/021687.html
-    return lambda target: dedent(copy(source)(target))
diff --git a/lib/matplotlib/dviread.py b/lib/matplotlib/dviread.py
index d6b085b2a831..9e8b6a5facf5 100644
--- a/lib/matplotlib/dviread.py
+++ b/lib/matplotlib/dviread.py
@@ -1,101 +1,277 @@
 """
-An experimental module for reading dvi files output by TeX. Several
-limitations make this not (currently) useful as a general-purpose dvi
-preprocessor, but it is currently used by the pdf backend for
-processing usetex text.
+A module for reading dvi files output by TeX. Several limitations make
+this not (currently) useful as a general-purpose dvi preprocessor, but
+it is currently used by the pdf backend for processing usetex text.
 
 Interface::
 
-  dvi = Dvi(filename, 72)
-  # iterate over pages (but only one page is supported for now):
-  for page in dvi:
-      w, h, d = page.width, page.height, page.descent
-      for x,y,font,glyph,width in page.text:
-          fontname = font.texname
-          pointsize = font.size
-          ...
-      for x,y,height,width in page.boxes:
-          ...
-
+  with Dvi(filename, 72) as dvi:
+      # iterate over pages:
+      for page in dvi:
+          w, h, d = page.width, page.height, page.descent
+          for x, y, font, glyph, width in page.text:
+              fontname = font.texname
+              pointsize = font.size
+              ...
+          for x, y, height, width in page.boxes:
+              ...
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
 
-import errno
-import matplotlib
-import matplotlib.cbook as mpl_cbook
-from matplotlib.compat import subprocess
-from matplotlib import rcParams
-import numpy as np
+import dataclasses
+import enum
+import logging
+import os
+import re
 import struct
+import subprocess
 import sys
-import os
+from collections import namedtuple
+from functools import cache, lru_cache, partial, wraps
+from pathlib import Path
+
+import numpy as np
+
+from matplotlib import _api, cbook, font_manager
+
+_log = logging.getLogger(__name__)
+
+# Many dvi related files are looked for by external processes, require
+# additional parsing, and are used many times per rendering, which is why they
+# are cached using lru_cache().
+
+# Dvi is a bytecode format documented in
+# https://ctan.org/pkg/dvitype
+# https://texdoc.org/serve/dvitype.pdf/0
+#
+# The file consists of a preamble, some number of pages, a postamble,
+# and a finale. Different opcodes are allowed in different contexts,
+# so the Dvi object has a parser state:
+#
+#   pre:       expecting the preamble
+#   outer:     between pages (followed by a page or the postamble,
+#              also e.g. font definitions are allowed)
+#   page:      processing a page
+#   post_post: state after the postamble (our current implementation
+#              just stops reading)
+#   finale:    the finale (unimplemented in our current implementation)
 
-if six.PY3:
-    def ord(x):
-        return x
+_dvistate = enum.Enum('DviState', 'pre outer inpage post_post finale')
 
-_dvistate = mpl_cbook.Bunch(pre=0, outer=1, inpage=2, post_post=3, finale=4)
+# The marks on a page consist of text and boxes. A page also has dimensions.
+Page = namedtuple('Page', 'text boxes height width descent')
+Box = namedtuple('Box', 'x y height width')
 
-class Dvi(object):
+
+# Also a namedtuple, for backcompat.
+class Text(namedtuple('Text', 'x y font glyph width')):
     """
-    A dvi ("device-independent") file, as produced by TeX.
-    The current implementation only reads the first page and does not
-    even attempt to verify the postamble.
+    A glyph in the dvi file.
+
+    The *x* and *y* attributes directly position the glyph.  The *font*,
+    *glyph*, and *width* attributes are kept public for back-compatibility,
+    but users wanting to draw the glyph themselves are encouraged to instead
+    load the font specified by `font_path` at `font_size`, warp it with the
+    effects specified by `font_effects`, and load the glyph at the FreeType
+    glyph `index`.
     """
 
+    def _get_pdftexmap_entry(self):
+        return PsfontsMap(find_tex_file("pdftex.map"))[self.font.texname]
+
+    @property
+    def font_path(self):
+        """The `~pathlib.Path` to the font for this glyph."""
+        psfont = self._get_pdftexmap_entry()
+        if psfont.filename is None:
+            raise ValueError("No usable font file found for {} ({}); "
+                             "the font may lack a Type-1 version"
+                             .format(psfont.psname.decode("ascii"),
+                                     psfont.texname.decode("ascii")))
+        return Path(psfont.filename)
+
+    @property
+    def font_size(self):
+        """The font size."""
+        return self.font.size
+
+    @property
+    def font_effects(self):
+        """
+        The "font effects" dict for this glyph.
+
+        This dict contains the values for this glyph of SlantFont and
+        ExtendFont (if any), read off :file:`pdftex.map`.
+        """
+        return self._get_pdftexmap_entry().effects
+
+    @property
+    def index(self):
+        """
+        The FreeType index of this glyph (that can be passed to FT_Load_Glyph).
+        """
+        # See DviFont._index_dvi_to_freetype for details on the index mapping.
+        return self.font._index_dvi_to_freetype(self.glyph)
+
+    @property  # To be deprecated together with font_size, font_effects.
+    def glyph_name_or_index(self):
+        """
+        Either the glyph name or the native charmap glyph index.
+
+        If :file:`pdftex.map` specifies an encoding for this glyph's font, that
+        is a mapping of glyph indices to Adobe glyph names; use it to convert
+        dvi indices to glyph names.  Callers can then convert glyph names to
+        glyph indices (with FT_Get_Name_Index/get_name_index), and load the
+        glyph using FT_Load_Glyph/load_glyph.
+
+        If :file:`pdftex.map` specifies no encoding, the indices directly map
+        to the font's "native" charmap; glyphs should directly load using
+        FT_Load_Char/load_char after selecting the native charmap.
+        """
+        entry = self._get_pdftexmap_entry()
+        return (_parse_enc(entry.encoding)[self.glyph]
+                if entry.encoding is not None else self.glyph)
+
+
+# Opcode argument parsing
+#
+# Each of the following functions takes a Dvi object and delta, which is the
+# difference between the opcode and the minimum opcode with the same meaning.
+# Dvi opcodes often encode the number of argument bytes in this delta.
+_arg_mapping = dict(
+    # raw: Return delta as is.
+    raw=lambda dvi, delta: delta,
+    # u1: Read 1 byte as an unsigned number.
+    u1=lambda dvi, delta: dvi._read_arg(1, signed=False),
+    # u4: Read 4 bytes as an unsigned number.
+    u4=lambda dvi, delta: dvi._read_arg(4, signed=False),
+    # s4: Read 4 bytes as a signed number.
+    s4=lambda dvi, delta: dvi._read_arg(4, signed=True),
+    # slen: Read delta bytes as a signed number, or None if delta is None.
+    slen=lambda dvi, delta: dvi._read_arg(delta, signed=True) if delta else None,
+    # slen1: Read (delta + 1) bytes as a signed number.
+    slen1=lambda dvi, delta: dvi._read_arg(delta + 1, signed=True),
+    # ulen1: Read (delta + 1) bytes as an unsigned number.
+    ulen1=lambda dvi, delta: dvi._read_arg(delta + 1, signed=False),
+    # olen1: Read (delta + 1) bytes as an unsigned number if less than 4 bytes,
+    # as a signed number if 4 bytes.
+    olen1=lambda dvi, delta: dvi._read_arg(delta + 1, signed=(delta == 3)),
+)
+
+
+def _dispatch(table, min, max=None, state=None, args=('raw',)):
+    """
+    Decorator for dispatch by opcode. Sets the values in *table*
+    from *min* to *max* to this method, adds a check that the Dvi state
+    matches *state* if not None, reads arguments from the file according
+    to *args*.
+
+    Parameters
+    ----------
+    table : dict[int, callable]
+        The dispatch table to be filled in.
+
+    min, max : int
+        Range of opcodes that calls the registered function; *max* defaults to
+        *min*.
+
+    state : _dvistate, optional
+        State of the Dvi object in which these opcodes are allowed.
+
+    args : list[str], default: ['raw']
+        Sequence of argument specifications:
+
+        - 'raw': opcode minus minimum
+        - 'u1': read one unsigned byte
+        - 'u4': read four bytes, treat as an unsigned number
+        - 's4': read four bytes, treat as a signed number
+        - 'slen': read (opcode - minimum) bytes, treat as signed
+        - 'slen1': read (opcode - minimum + 1) bytes, treat as signed
+        - 'ulen1': read (opcode - minimum + 1) bytes, treat as unsigned
+        - 'olen1': read (opcode - minimum + 1) bytes, treat as unsigned
+          if under four bytes, signed if four bytes
+    """
+    def decorate(method):
+        get_args = [_arg_mapping[x] for x in args]
+
+        @wraps(method)
+        def wrapper(self, byte):
+            if state is not None and self.state != state:
+                raise ValueError("state precondition failed")
+            return method(self, *[f(self, byte-min) for f in get_args])
+        if max is None:
+            table[min] = wrapper
+        else:
+            for i in range(min, max+1):
+                assert table[i] is None
+                table[i] = wrapper
+        return wrapper
+    return decorate
+
+
+class Dvi:
+    """
+    A reader for a dvi ("device-independent") file, as produced by TeX.
+
+    The current implementation can only iterate through pages in order,
+    and does not even attempt to verify the postamble.
+
+    This class can be used as a context manager to close the underlying
+    file upon exit. Pages can be read via iteration. Here is an overly
+    simple way to extract text without trying to detect whitespace::
+
+        >>> with matplotlib.dviread.Dvi('input.dvi', 72) as dvi:
+        ...     for page in dvi:
+        ...         print(''.join(chr(t.glyph) for t in page.text))
+    """
+    # dispatch table
+    _dtable = [None] * 256
+    _dispatch = partial(_dispatch, _dtable)
+
     def __init__(self, filename, dpi):
         """
-        Initialize the object. This takes the filename as input and
-        opens the file; actually reading the file happens when
-        iterating through the pages of the file.
+        Read the data from the file named *filename* and convert
+        TeX's internal units to units of *dpi* per inch.
+        *dpi* only sets the units and does not limit the resolution.
+        Use None to return TeX's internal units.
         """
-        matplotlib.verbose.report('Dvi: ' + filename, 'debug')
+        _log.debug('Dvi: %s', filename)
         self.file = open(filename, 'rb')
         self.dpi = dpi
         self.fonts = {}
         self.state = _dvistate.pre
-        self.baseline = self._get_baseline(filename)
-
-    def _get_baseline(self, filename):
-        if rcParams['text.latex.preview']:
-            base, ext = os.path.splitext(filename)
-            baseline_filename = base + ".baseline"
-            if os.path.exists(baseline_filename):
-                with open(baseline_filename, 'rb') as fd:
-                    l = fd.read().split()
-                height, depth, width = l
-                return float(depth)
-        return None
+        self._missing_font = None
+
+    def __enter__(self):
+        """Context manager enter method, does nothing."""
+        return self
+
+    def __exit__(self, etype, evalue, etrace):
+        """
+        Context manager exit method, closes the underlying file if it is open.
+        """
+        self.close()
 
     def __iter__(self):
         """
         Iterate through the pages of the file.
 
-        Returns (text, boxes) pairs, where:
-          text is a list of (x, y, fontnum, glyphnum, width) tuples
-          boxes is a list of (x, y, height, width) tuples
-
-        The coordinates are transformed into a standard Cartesian
-        coordinate system at the dpi value given when initializing.
-        The coordinates are floating point numbers, but otherwise
-        precision is not lost and coordinate values are not clipped to
-        integers.
+        Yields
+        ------
+        Page
+            Details of all the text and box objects on the page.
+            The Page tuple contains lists of Text and Box tuples and
+            the page dimensions, and the Text and Box tuples contain
+            coordinates transformed into a standard Cartesian
+            coordinate system at the dpi value given when initializing.
+            The coordinates are floating point numbers, but otherwise
+            precision is not lost and coordinate values are not clipped to
+            integers.
         """
-        while True:
-            have_page = self._read()
-            if have_page:
-                yield self._output()
-            else:
-                break
+        while self._read():
+            yield self._output()
 
     def close(self):
-        """
-        Close the underlying file if it is open.
-        """
+        """Close the underlying file if it is open."""
         if not self.file.closed:
             self.file.close()
 
@@ -104,417 +280,437 @@ def _output(self):
         Output the text and boxes belonging to the most recent page.
         page = dvi._output()
         """
-        minx, miny, maxx, maxy = np.inf, np.inf, -np.inf, -np.inf
+        minx = miny = np.inf
+        maxx = maxy = -np.inf
         maxy_pure = -np.inf
         for elt in self.text + self.boxes:
-            if len(elt) == 4:   # box
-                x,y,h,w = elt
-                e = 0           # zero depth
-            else:               # glyph
-                x,y,font,g,w = elt
-                h,e = font._height_depth_of(g)
+            if isinstance(elt, Box):
+                x, y, h, w = elt
+                e = 0  # zero depth
+            else:  # glyph
+                x, y, font, g, w = elt
+                h, e = font._height_depth_of(g)
             minx = min(minx, x)
             miny = min(miny, y - h)
             maxx = max(maxx, x + w)
             maxy = max(maxy, y + e)
             maxy_pure = max(maxy_pure, y)
+        if self._baseline_v is not None:
+            maxy_pure = self._baseline_v  # This should normally be the case.
+            self._baseline_v = None
+
+        if not self.text and not self.boxes:  # Avoid infs/nans from inf+/-inf.
+            return Page(text=[], boxes=[], width=0, height=0, descent=0)
 
         if self.dpi is None:
             # special case for ease of debugging: output raw dvi coordinates
-            return mpl_cbook.Bunch(text=self.text, boxes=self.boxes,
-                                   width=maxx-minx, height=maxy_pure-miny,
-                                   descent=descent)
+            return Page(text=self.text, boxes=self.boxes,
+                        width=maxx-minx, height=maxy_pure-miny,
+                        descent=maxy-maxy_pure)
 
-        d = self.dpi / (72.27 * 2**16) # from TeX's "scaled points" to dpi units
-        if self.baseline is None:
-            descent = (maxy - maxy_pure) * d
-        else:
-            descent = self.baseline
+        # convert from TeX's "scaled points" to dpi units
+        d = self.dpi / (72.27 * 2**16)
+        descent = (maxy - maxy_pure) * d
 
-        text =  [ ((x-minx)*d, (maxy-y)*d - descent, f, g, w*d)
-                  for (x,y,f,g,w) in self.text ]
-        boxes = [ ((x-minx)*d, (maxy-y)*d - descent, h*d, w*d) for (x,y,h,w) in self.boxes ]
+        text = [Text((x-minx)*d, (maxy-y)*d - descent, f, g, w*d)
+                for (x, y, f, g, w) in self.text]
+        boxes = [Box((x-minx)*d, (maxy-y)*d - descent, h*d, w*d)
+                 for (x, y, h, w) in self.boxes]
 
-        return mpl_cbook.Bunch(text=text, boxes=boxes,
-                               width=(maxx-minx)*d,
-                               height=(maxy_pure-miny)*d,
-                               descent=descent)
+        return Page(text=text, boxes=boxes, width=(maxx-minx)*d,
+                    height=(maxy_pure-miny)*d, descent=descent)
 
     def _read(self):
         """
         Read one page from the file. Return True if successful,
         False if there were no more pages.
         """
+        # Pages appear to start with the sequence
+        #   bop (begin of page)
+        #   xxx comment
+        #   <push, ..., pop>  # if using chemformula
+        #   down
+        #   push
+        #     down
+        #     <push, push, xxx, right, xxx, pop, pop>  # if using xcolor
+        #     down
+        #     push
+        #       down (possibly multiple)
+        #       push  <=  here, v is the baseline position.
+        #         etc.
+        # (dviasm is useful to explore this structure.)
+        # Thus, we use the vertical position at the first time the stack depth
+        # reaches 3, while at least three "downs" have been executed (excluding
+        # those popped out (corresponding to the chemformula preamble)), as the
+        # baseline (the "down" count is necessary to handle xcolor).
+        down_stack = [0]
+        self._baseline_v = None
         while True:
-            byte = ord(self.file.read(1)[0])
-            self._dispatch(byte)
-#             if self.state == _dvistate.inpage:
-#                 matplotlib.verbose.report(
-#                     'Dvi._read: after %d at %f,%f' %
-#                     (byte, self.h, self.v),
-#                     'debug-annoying')
-            if byte == 140: # end of page
+            byte = self.file.read(1)[0]
+            self._dtable[byte](self, byte)
+            if self._missing_font:
+                raise self._missing_font.to_exception()
+            name = self._dtable[byte].__name__
+            if name == "_push":
+                down_stack.append(down_stack[-1])
+            elif name == "_pop":
+                down_stack.pop()
+            elif name == "_down":
+                down_stack[-1] += 1
+            if (self._baseline_v is None
+                    and len(getattr(self, "stack", [])) == 3
+                    and down_stack[-1] >= 4):
+                self._baseline_v = self.v
+            if byte == 140:                         # end of page
                 return True
-            if self.state == _dvistate.post_post: # end of file
+            if self.state is _dvistate.post_post:   # end of file
                 self.close()
                 return False
 
-    def _arg(self, nbytes, signed=False):
+    def _read_arg(self, nbytes, signed=False):
         """
-        Read and return an integer argument *nbytes* long.
+        Read and return a big-endian integer *nbytes* long.
         Signedness is determined by the *signed* keyword.
         """
-        str = self.file.read(nbytes)
-        value = ord(str[0])
-        if signed and value >= 0x80:
-            value = value - 0x100
-        for i in range(1, nbytes):
-            value = 0x100*value + ord(str[i])
-        return value
-
-    def _dispatch(self, byte):
-        """
-        Based on the opcode *byte*, read the correct kinds of
-        arguments from the dvi file and call the method implementing
-        that opcode with those arguments.
-        """
-        if 0 <= byte <= 127: self._set_char(byte)
-        elif byte == 128: self._set_char(self._arg(1))
-        elif byte == 129: self._set_char(self._arg(2))
-        elif byte == 130: self._set_char(self._arg(3))
-        elif byte == 131: self._set_char(self._arg(4, True))
-        elif byte == 132: self._set_rule(self._arg(4, True), self._arg(4, True))
-        elif byte == 133: self._put_char(self._arg(1))
-        elif byte == 134: self._put_char(self._arg(2))
-        elif byte == 135: self._put_char(self._arg(3))
-        elif byte == 136: self._put_char(self._arg(4, True))
-        elif byte == 137: self._put_rule(self._arg(4, True), self._arg(4, True))
-        elif byte == 138: self._nop()
-        elif byte == 139: self._bop(*[self._arg(4, True) for i in range(11)])
-        elif byte == 140: self._eop()
-        elif byte == 141: self._push()
-        elif byte == 142: self._pop()
-        elif byte == 143: self._right(self._arg(1, True))
-        elif byte == 144: self._right(self._arg(2, True))
-        elif byte == 145: self._right(self._arg(3, True))
-        elif byte == 146: self._right(self._arg(4, True))
-        elif byte == 147: self._right_w(None)
-        elif byte == 148: self._right_w(self._arg(1, True))
-        elif byte == 149: self._right_w(self._arg(2, True))
-        elif byte == 150: self._right_w(self._arg(3, True))
-        elif byte == 151: self._right_w(self._arg(4, True))
-        elif byte == 152: self._right_x(None)
-        elif byte == 153: self._right_x(self._arg(1, True))
-        elif byte == 154: self._right_x(self._arg(2, True))
-        elif byte == 155: self._right_x(self._arg(3, True))
-        elif byte == 156: self._right_x(self._arg(4, True))
-        elif byte == 157: self._down(self._arg(1, True))
-        elif byte == 158: self._down(self._arg(2, True))
-        elif byte == 159: self._down(self._arg(3, True))
-        elif byte == 160: self._down(self._arg(4, True))
-        elif byte == 161: self._down_y(None)
-        elif byte == 162: self._down_y(self._arg(1, True))
-        elif byte == 163: self._down_y(self._arg(2, True))
-        elif byte == 164: self._down_y(self._arg(3, True))
-        elif byte == 165: self._down_y(self._arg(4, True))
-        elif byte == 166: self._down_z(None)
-        elif byte == 167: self._down_z(self._arg(1, True))
-        elif byte == 168: self._down_z(self._arg(2, True))
-        elif byte == 169: self._down_z(self._arg(3, True))
-        elif byte == 170: self._down_z(self._arg(4, True))
-        elif 171 <= byte <= 234: self._fnt_num(byte-171)
-        elif byte == 235: self._fnt_num(self._arg(1))
-        elif byte == 236: self._fnt_num(self._arg(2))
-        elif byte == 237: self._fnt_num(self._arg(3))
-        elif byte == 238: self._fnt_num(self._arg(4, True))
-        elif 239 <= byte <= 242:
-            len = self._arg(byte-238)
-            special = self.file.read(len)
-            self._xxx(special)
-        elif 243 <= byte <= 246:
-            k = self._arg(byte-242, byte==246)
-            c, s, d, a, l = [ self._arg(x) for x in (4, 4, 4, 1, 1) ]
-            n = self.file.read(a+l)
-            self._fnt_def(k, c, s, d, a, l, n)
-        elif byte == 247:
-            i, num, den, mag, k = [ self._arg(x) for x in (1, 4, 4, 4, 1) ]
-            x = self.file.read(k)
-            self._pre(i, num, den, mag, x)
-        elif byte == 248: self._post()
-        elif byte == 249: self._post_post()
-        else:
-            raise ValueError("unknown command: byte %d"%byte)
+        return int.from_bytes(self.file.read(nbytes), "big", signed=signed)
 
-    def _pre(self, i, num, den, mag, comment):
-        if self.state != _dvistate.pre:
-            raise ValueError("pre command in middle of dvi file")
-        if i != 2:
-            raise ValueError("Unknown dvi format %d"%i)
-        if num != 25400000 or den != 7227 * 2**16:
-            raise ValueError("nonstandard units in dvi file")
-            # meaning: TeX always uses those exact values, so it
-            # should be enough for us to support those
-            # (There are 72.27 pt to an inch so 7227 pt =
-            # 7227 * 2**16 sp to 100 in. The numerator is multiplied
-            # by 10^5 to get units of 10**-7 meters.)
-        if mag != 1000:
-            raise ValueError("nonstandard magnification in dvi file")
-            # meaning: LaTeX seems to frown on setting \mag, so
-            # I think we can assume this is constant
-        self.state = _dvistate.outer
+    @_dispatch(min=0, max=127, state=_dvistate.inpage)
+    def _set_char_immediate(self, char):
+        self._put_char_real(char)
+        if isinstance(self.fonts[self.f], cbook._ExceptionInfo):
+            return
+        self.h += self.fonts[self.f]._width_of(char)
 
+    @_dispatch(min=128, max=131, state=_dvistate.inpage, args=('olen1',))
     def _set_char(self, char):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced set_char in dvi file")
-        self._put_char(char)
+        self._put_char_real(char)
+        if isinstance(self.fonts[self.f], cbook._ExceptionInfo):
+            return
         self.h += self.fonts[self.f]._width_of(char)
 
+    @_dispatch(132, state=_dvistate.inpage, args=('s4', 's4'))
     def _set_rule(self, a, b):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced set_rule in dvi file")
-        self._put_rule(a, b)
+        self._put_rule_real(a, b)
         self.h += b
 
+    @_dispatch(min=133, max=136, state=_dvistate.inpage, args=('olen1',))
     def _put_char(self, char):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced put_char in dvi file")
+        self._put_char_real(char)
+
+    def _put_char_real(self, char):
         font = self.fonts[self.f]
-        if font._vf is None:
-            self.text.append((self.h, self.v, font, char,
-                              font._width_of(char)))
-#             matplotlib.verbose.report(
-#                 'Dvi._put_char: %d,%d %d' %(self.h, self.v, char),
-#                 'debug-annoying')
+        if isinstance(font, cbook._ExceptionInfo):
+            self._missing_font = font
+        elif font._vf is None:
+            self.text.append(Text(self.h, self.v, font, char,
+                                  font._width_of(char)))
         else:
             scale = font._scale
             for x, y, f, g, w in font._vf[char].text:
-                newf = DviFont(scale=_mul2012(scale, f._scale),
+                newf = DviFont(scale=_mul1220(scale, f._scale),
                                tfm=f._tfm, texname=f.texname, vf=f._vf)
-                self.text.append((self.h + _mul2012(x, scale),
-                                  self.v + _mul2012(y, scale),
-                                  newf, g, newf._width_of(g)))
-            self.boxes.extend([(self.h + _mul2012(x, scale),
-                                self.v + _mul2012(y, scale),
-                                _mul2012(a, scale), _mul2012(b, scale))
+                self.text.append(Text(self.h + _mul1220(x, scale),
+                                      self.v + _mul1220(y, scale),
+                                      newf, g, newf._width_of(g)))
+            self.boxes.extend([Box(self.h + _mul1220(x, scale),
+                                   self.v + _mul1220(y, scale),
+                                   _mul1220(a, scale), _mul1220(b, scale))
                                for x, y, a, b in font._vf[char].boxes])
 
+    @_dispatch(137, state=_dvistate.inpage, args=('s4', 's4'))
     def _put_rule(self, a, b):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced put_rule in dvi file")
+        self._put_rule_real(a, b)
+
+    def _put_rule_real(self, a, b):
         if a > 0 and b > 0:
-            self.boxes.append((self.h, self.v, a, b))
-#             matplotlib.verbose.report(
-#                 'Dvi._put_rule: %d,%d %d,%d' % (self.h, self.v, a, b),
-#                 'debug-annoying')
+            self.boxes.append(Box(self.h, self.v, a, b))
 
-    def _nop(self):
+    @_dispatch(138)
+    def _nop(self, _):
         pass
 
+    @_dispatch(139, state=_dvistate.outer, args=('s4',)*11)
     def _bop(self, c0, c1, c2, c3, c4, c5, c6, c7, c8, c9, p):
-        if self.state != _dvistate.outer:
-            raise ValueError("misplaced bop in dvi file (state %d)" % self.state)
         self.state = _dvistate.inpage
-        self.h, self.v, self.w, self.x, self.y, self.z = 0, 0, 0, 0, 0, 0
+        self.h = self.v = self.w = self.x = self.y = self.z = 0
         self.stack = []
-        self.text = []          # list of (x,y,fontnum,glyphnum)
-        self.boxes = []         # list of (x,y,width,height)
+        self.text = []          # list of Text objects
+        self.boxes = []         # list of Box objects
 
-    def _eop(self):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced eop in dvi file")
+    @_dispatch(140, state=_dvistate.inpage)
+    def _eop(self, _):
         self.state = _dvistate.outer
         del self.h, self.v, self.w, self.x, self.y, self.z, self.stack
 
-    def _push(self):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced push in dvi file")
+    @_dispatch(141, state=_dvistate.inpage)
+    def _push(self, _):
         self.stack.append((self.h, self.v, self.w, self.x, self.y, self.z))
 
-    def _pop(self):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced pop in dvi file")
+    @_dispatch(142, state=_dvistate.inpage)
+    def _pop(self, _):
         self.h, self.v, self.w, self.x, self.y, self.z = self.stack.pop()
 
+    @_dispatch(min=143, max=146, state=_dvistate.inpage, args=('slen1',))
     def _right(self, b):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced right in dvi file")
         self.h += b
 
+    @_dispatch(min=147, max=151, state=_dvistate.inpage, args=('slen',))
     def _right_w(self, new_w):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced w in dvi file")
         if new_w is not None:
             self.w = new_w
         self.h += self.w
 
+    @_dispatch(min=152, max=156, state=_dvistate.inpage, args=('slen',))
     def _right_x(self, new_x):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced x in dvi file")
         if new_x is not None:
             self.x = new_x
         self.h += self.x
 
+    @_dispatch(min=157, max=160, state=_dvistate.inpage, args=('slen1',))
     def _down(self, a):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced down in dvi file")
         self.v += a
 
+    @_dispatch(min=161, max=165, state=_dvistate.inpage, args=('slen',))
     def _down_y(self, new_y):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced y in dvi file")
         if new_y is not None:
             self.y = new_y
         self.v += self.y
 
+    @_dispatch(min=166, max=170, state=_dvistate.inpage, args=('slen',))
     def _down_z(self, new_z):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced z in dvi file")
         if new_z is not None:
             self.z = new_z
         self.v += self.z
 
-    def _fnt_num(self, k):
-        if self.state != _dvistate.inpage:
-            raise ValueError("misplaced fnt_num in dvi file")
+    @_dispatch(min=171, max=234, state=_dvistate.inpage)
+    def _fnt_num_immediate(self, k):
         self.f = k
 
-    def _xxx(self, special):
-        if six.PY3:
-            matplotlib.verbose.report(
-                'Dvi._xxx: encountered special: %s'
-                % ''.join([(32 <= ord(ch) < 127) and chr(ch)
-                           or '<%02x>' % ord(ch)
-                           for ch in special]),
-                'debug')
-        else:
-            matplotlib.verbose.report(
-                'Dvi._xxx: encountered special: %s'
-                % ''.join([(32 <= ord(ch) < 127) and ch
-                           or '<%02x>' % ord(ch)
-                           for ch in special]),
-                'debug')
-
-    def _fnt_def(self, k, c, s, d, a, l, n):
-        tfm = _tfmfile(n[-l:].decode('ascii'))
+    @_dispatch(min=235, max=238, state=_dvistate.inpage, args=('olen1',))
+    def _fnt_num(self, new_f):
+        self.f = new_f
+
+    @_dispatch(min=239, max=242, args=('ulen1',))
+    def _xxx(self, datalen):
+        special = self.file.read(datalen)
+        _log.debug(
+            'Dvi._xxx: encountered special: %s',
+            ''.join([chr(ch) if 32 <= ch < 127 else '<%02x>' % ch
+                     for ch in special]))
+
+    @_dispatch(min=243, max=246, args=('olen1', 'u4', 'u4', 'u4', 'u1', 'u1'))
+    def _fnt_def(self, k, c, s, d, a, l):
+        self._fnt_def_real(k, c, s, d, a, l)
+
+    def _fnt_def_real(self, k, c, s, d, a, l):
+        n = self.file.read(a + l)
+        fontname = n[-l:].decode('ascii')
+        try:
+            tfm = _tfmfile(fontname)
+        except FileNotFoundError as exc:
+            # Explicitly allow defining missing fonts for Vf support; we only
+            # register an error when trying to load a glyph from a missing font
+            # and throw that error in Dvi._read.  For Vf, _finalize_packet
+            # checks whether a missing glyph has been used, and in that case
+            # skips the glyph definition.
+            self.fonts[k] = cbook._ExceptionInfo.from_exception(exc)
+            return
         if c != 0 and tfm.checksum != 0 and c != tfm.checksum:
-            raise ValueError('tfm checksum mismatch: %s'%n)
-        # It seems that the assumption behind the following check is incorrect:
-        #if d != tfm.design_size:
-        #    raise ValueError, 'tfm design size mismatch: %d in dvi, %d in %s'%\
-        #        (d, tfm.design_size, n)
-
-        vf = _vffile(n[-l:].decode('ascii'))
-
+            raise ValueError(f'tfm checksum mismatch: {n}')
+        try:
+            vf = _vffile(fontname)
+        except FileNotFoundError:
+            vf = None
         self.fonts[k] = DviFont(scale=s, tfm=tfm, texname=n, vf=vf)
 
-    def _post(self):
-        if self.state != _dvistate.outer:
-            raise ValueError("misplaced post in dvi file")
+    @_dispatch(247, state=_dvistate.pre, args=('u1', 'u4', 'u4', 'u4', 'u1'))
+    def _pre(self, i, num, den, mag, k):
+        self.file.read(k)  # comment in the dvi file
+        if i != 2:
+            raise ValueError(f"Unknown dvi format {i}")
+        if num != 25400000 or den != 7227 * 2**16:
+            raise ValueError("Nonstandard units in dvi file")
+            # meaning: TeX always uses those exact values, so it
+            # should be enough for us to support those
+            # (There are 72.27 pt to an inch so 7227 pt =
+            # 7227 * 2**16 sp to 100 in. The numerator is multiplied
+            # by 10^5 to get units of 10**-7 meters.)
+        if mag != 1000:
+            raise ValueError("Nonstandard magnification in dvi file")
+            # meaning: LaTeX seems to frown on setting \mag, so
+            # I think we can assume this is constant
+        self.state = _dvistate.outer
+
+    @_dispatch(248, state=_dvistate.outer)
+    def _post(self, _):
         self.state = _dvistate.post_post
         # TODO: actually read the postamble and finale?
         # currently post_post just triggers closing the file
 
-    def _post_post(self):
+    @_dispatch(249)
+    def _post_post(self, _):
         raise NotImplementedError
 
-class DviFont(object):
+    @_dispatch(min=250, max=255)
+    def _malformed(self, offset):
+        raise ValueError(f"unknown command: byte {250 + offset}")
+
+
+class DviFont:
     """
-    Object that holds a font's texname and size, supports comparison,
+    Encapsulation of a font that a DVI file can refer to.
+
+    This class holds a font's texname and size, supports comparison,
     and knows the widths of glyphs in the same units as the AFM file.
     There are also internal attributes (for use by dviread.py) that
     are *not* used for comparison.
 
     The size is in Adobe points (converted from TeX points).
 
-    .. attribute:: texname
-
-       Name of the font as used internally by TeX and friends. This
-       is usually very different from any external font names, and
-       :class:`dviread.PsfontsMap` can be used to find the external
-       name of the font.
-
-    .. attribute:: size
-
+    Parameters
+    ----------
+    scale : float
+        Factor by which the font is scaled from its natural size.
+    tfm : Tfm
+        TeX font metrics for this font
+    texname : bytes
+       Name of the font as used internally by TeX and friends, as an ASCII
+       bytestring.  This is usually very different from any external font
+       names; `PsfontsMap` can be used to find the external name of the font.
+    vf : Vf
+       A TeX "virtual font" file, or None if this font is not virtual.
+
+    Attributes
+    ----------
+    texname : bytes
+    fname : str
+       Compatibility shim so that DviFont can be used with
+       ``_backend_pdf_ps.CharacterTracker``; not a real filename.
+    size : float
        Size of the font in Adobe points, converted from the slightly
        smaller TeX points.
-
-    .. attribute:: widths
-
-       Widths of glyphs in glyph-space units, typically 1/1000ths of
-       the point size.
-
     """
-    __slots__ = ('texname', 'size', 'widths', '_scale', '_vf', '_tfm')
+    __slots__ = ('texname', 'size', '_scale', '_vf', '_tfm', '_encoding')
 
     def __init__(self, scale, tfm, texname, vf):
-        if six.PY3 and isinstance(texname, bytes):
-            texname = texname.decode('ascii')
-        self._scale, self._tfm, self.texname, self._vf = \
-            scale, tfm, texname, vf
+        _api.check_isinstance(bytes, texname=texname)
+        self._scale = scale
+        self._tfm = tfm
+        self.texname = texname
+        self._vf = vf
         self.size = scale * (72.0 / (72.27 * 2**16))
-        try:
-            nchars = max(six.iterkeys(tfm.width)) + 1
-        except ValueError:
-            nchars = 0
-        self.widths = [ (1000*tfm.width.get(char, 0)) >> 20
-                        for char in xrange(nchars) ]
+        self._encoding = None
+
+    widths = _api.deprecated("3.11")(property(lambda self: [
+        (1000 * self._tfm.width.get(char, 0)) >> 20
+        for char in range(max(self._tfm.width, default=-1) + 1)]))
+
+    @property
+    def fname(self):
+        """A fake filename"""
+        return self.texname.decode('latin-1')
+
+    def _get_fontmap(self, string):
+        """Get the mapping from characters to the font that includes them.
+
+        Each value maps to self; there is no fallback mechanism for DviFont.
+        """
+        return {char: self for char in string}
 
     def __eq__(self, other):
-        return self.__class__ == other.__class__ and \
-            self.texname == other.texname and self.size == other.size
+        return (type(self) is type(other)
+                and self.texname == other.texname and self.size == other.size)
 
     def __ne__(self, other):
         return not self.__eq__(other)
 
-    def _width_of(self, char):
-        """
-        Width of char in dvi units. For internal use by dviread.py.
-        """
-
-        width = self._tfm.width.get(char, None)
-        if width is not None:
-            return _mul2012(width, self._scale)
+    def __repr__(self):
+        return f"<{type(self).__name__}: {self.texname}>"
 
-        matplotlib.verbose.report(
-            'No width for char %d in font %s' % (char, self.texname),
-            'debug')
-        return 0
+    def _width_of(self, char):
+        """Width of char in dvi units."""
+        metrics = self._tfm.get_metrics(char)
+        if metrics is None:
+            _log.debug('No width for char %d in font %s.', char, self.texname)
+            return 0
+        return _mul1220(metrics.tex_width, self._scale)
 
     def _height_depth_of(self, char):
-        """
-        Height and depth of char in dvi units. For internal use by dviread.py.
-        """
-
-        result = []
-        for metric,name in ((self._tfm.height, "height"),
-                            (self._tfm.depth, "depth")):
-            value = metric.get(char, None)
-            if value is None:
-                matplotlib.verbose.report(
-                    'No %s for char %d in font %s' % (name, char, self.texname),
-                    'debug')
-                result.append(0)
+        """Height and depth of char in dvi units."""
+        metrics = self._tfm.get_metrics(char)
+        if metrics is None:
+            _log.debug('No metrics for char %d in font %s', char, self.texname)
+            return [0, 0]
+        hd = [
+            _mul1220(metrics.tex_height, self._scale),
+            _mul1220(metrics.tex_depth, self._scale),
+        ]
+        # cmsyXX (symbols font) glyph 0 ("minus") has a nonzero descent
+        # so that TeX aligns equations properly
+        # (https://tex.stackexchange.com/q/526103/)
+        # but we actually care about the rasterization depth to align
+        # the dvipng-generated images.
+        if re.match(br'^cmsy\d+$', self.texname) and char == 0:
+            hd[-1] = 0
+        return hd
+
+    def _index_dvi_to_freetype(self, idx):
+        """Convert dvi glyph indices to FreeType ones."""
+        # Glyphs indices stored in the dvi file map to FreeType glyph indices
+        # (i.e., which can be passed to FT_Load_Glyph) in various ways:
+        # - if pdftex.map specifies an ".enc" file for the font, that file maps
+        #   dvi indices to Adobe glyph names, which can then be converted to
+        #   FreeType glyph indices with FT_Get_Name_Index.
+        # - if no ".enc" file is specified, then the font must be a Type 1
+        #   font, and dvi indices directly index into the font's CharStrings
+        #   vector.
+        # - (xetex & luatex, currently unsupported, can also declare "native
+        #   fonts", for which dvi indices are equal to FreeType indices.)
+        if self._encoding is None:
+            psfont = PsfontsMap(find_tex_file("pdftex.map"))[self.texname]
+            if psfont.filename is None:
+                raise ValueError("No usable font file found for {} ({}); "
+                                 "the font may lack a Type-1 version"
+                                 .format(psfont.psname.decode("ascii"),
+                                         psfont.texname.decode("ascii")))
+            face = font_manager.get_font(psfont.filename)
+            if psfont.encoding:
+                self._encoding = [face.get_name_index(name)
+                                  for name in _parse_enc(psfont.encoding)]
             else:
-                result.append(_mul2012(value, self._scale))
-        return result
+                self._encoding = face._get_type1_encoding_vector()
+        return self._encoding[idx]
+
 
 class Vf(Dvi):
-    """
+    r"""
     A virtual font (\*.vf file) containing subroutines for dvi files.
 
-    Usage::
+    Parameters
+    ----------
+    filename : str or path-like
+
+    Notes
+    -----
+    The virtual font format is a derivative of dvi:
+    http://mirrors.ctan.org/info/knuth/virtual-fonts
+    This class reuses some of the machinery of `Dvi`
+    but replaces the `!_read` loop and dispatch mechanism.
+
+    Examples
+    --------
+    ::
 
-      vf = Vf(filename)
-      glyph = vf[code]
-      glyph.text, glyph.boxes, glyph.width
+        vf = Vf(filename)
+        glyph = vf[code]
+        glyph.text, glyph.boxes, glyph.width
     """
 
     def __init__(self, filename):
-        Dvi.__init__(self, filename, 0)
+        super().__init__(filename, 0)
         try:
             self._first_font = None
             self._chars = {}
-            self._packet_ends = None
             self._read()
         finally:
             self.close()
@@ -522,161 +718,183 @@ def __init__(self, filename):
     def __getitem__(self, code):
         return self._chars[code]
 
-    def _dispatch(self, byte):
-        # If we are in a packet, execute the dvi instructions
-        if self.state == _dvistate.inpage:
-            byte_at = self.file.tell()-1
-            if byte_at == self._packet_ends:
-                self._finalize_packet()
-                # fall through
-            elif byte_at > self._packet_ends:
-                raise ValueError("Packet length mismatch in vf file")
+    def _read(self):
+        """
+        Read one page from the file. Return True if successful,
+        False if there were no more pages.
+        """
+        packet_char = packet_ends = None
+        packet_len = packet_width = None
+        while True:
+            byte = self.file.read(1)[0]
+            # If we are in a packet, execute the dvi instructions
+            if self.state is _dvistate.inpage:
+                byte_at = self.file.tell()-1
+                if byte_at == packet_ends:
+                    self._finalize_packet(packet_char, packet_width)
+                    packet_len = packet_char = packet_width = None
+                    # fall through to out-of-packet code
+                elif byte_at > packet_ends:
+                    raise ValueError("Packet length mismatch in vf file")
+                else:
+                    if byte in (139, 140) or byte >= 243:
+                        raise ValueError(f"Inappropriate opcode {byte} in vf file")
+                    Dvi._dtable[byte](self, byte)
+                    continue
+
+            # We are outside a packet
+            if byte < 242:          # a short packet (length given by byte)
+                packet_len = byte
+                packet_char = self._read_arg(1)
+                packet_width = self._read_arg(3)
+                packet_ends = self._init_packet(byte)
+                self.state = _dvistate.inpage
+            elif byte == 242:       # a long packet
+                packet_len = self._read_arg(4)
+                packet_char = self._read_arg(4)
+                packet_width = self._read_arg(4)
+                self._init_packet(packet_len)
+            elif 243 <= byte <= 246:
+                k = self._read_arg(byte - 242, byte == 246)
+                c = self._read_arg(4)
+                s = self._read_arg(4)
+                d = self._read_arg(4)
+                a = self._read_arg(1)
+                l = self._read_arg(1)
+                self._fnt_def_real(k, c, s, d, a, l)
+                if self._first_font is None:
+                    self._first_font = k
+            elif byte == 247:       # preamble
+                i = self._read_arg(1)
+                k = self._read_arg(1)
+                x = self.file.read(k)
+                cs = self._read_arg(4)
+                ds = self._read_arg(4)
+                self._pre(i, x, cs, ds)
+            elif byte == 248:       # postamble (just some number of 248s)
+                break
             else:
-                if byte in (139, 140) or byte >= 243:
-                    raise ValueError("Inappropriate opcode %d in vf file" % byte)
-                Dvi._dispatch(self, byte)
-                return
-
-        # We are outside a packet
-        if byte < 242:          # a short packet (length given by byte)
-            cc, tfm = self._arg(1), self._arg(3)
-            self._init_packet(byte, cc, tfm)
-        elif byte == 242:       # a long packet
-            pl, cc, tfm = [ self._arg(x) for x in (4, 4, 4) ]
-            self._init_packet(pl, cc, tfm)
-        elif 243 <= byte <= 246:
-            Dvi._dispatch(self, byte)
-        elif byte == 247:       # preamble
-            i, k = self._arg(1), self._arg(1)
-            x = self.file.read(k)
-            cs, ds = self._arg(4), self._arg(4)
-            self._pre(i, x, cs, ds)
-        elif byte == 248:       # postamble (just some number of 248s)
-            self.state = _dvistate.post_post
-        else:
-            raise ValueError("unknown vf opcode %d" % byte)
+                raise ValueError(f"Unknown vf opcode {byte}")
 
-    def _init_packet(self, pl, cc, tfm):
+    def _init_packet(self, pl):
         if self.state != _dvistate.outer:
             raise ValueError("Misplaced packet in vf file")
-        self.state = _dvistate.inpage
-        self._packet_ends = self.file.tell() + pl
-        self._packet_char = cc
-        self._packet_width = tfm
-        self.h, self.v, self.w, self.x, self.y, self.z = 0, 0, 0, 0, 0, 0
-        self.stack, self.text, self.boxes = [], [], []
+        self.h = self.v = self.w = self.x = self.y = self.z = 0
+        self.stack = []
+        self.text = []
+        self.boxes = []
         self.f = self._first_font
-
-    def _finalize_packet(self):
-        self._chars[self._packet_char] = mpl_cbook.Bunch(
-            text=self.text, boxes=self.boxes, width = self._packet_width)
+        self._missing_font = None
+        return self.file.tell() + pl
+
+    def _finalize_packet(self, packet_char, packet_width):
+        if not self._missing_font:  # Otherwise we don't have full glyph definition.
+            self._chars[packet_char] = Page(
+                text=self.text, boxes=self.boxes, width=packet_width,
+                height=None, descent=None)
         self.state = _dvistate.outer
 
     def _pre(self, i, x, cs, ds):
-        if self.state != _dvistate.pre:
+        if self.state is not _dvistate.pre:
             raise ValueError("pre command in middle of vf file")
         if i != 202:
-            raise ValueError("Unknown vf format %d" % i)
+            raise ValueError(f"Unknown vf format {i}")
         if len(x):
-            matplotlib.verbose.report('vf file comment: ' + x, 'debug')
+            _log.debug('vf file comment: %s', x)
         self.state = _dvistate.outer
         # cs = checksum, ds = design size
 
-    def _fnt_def(self, k, *args):
-        Dvi._fnt_def(self, k, *args)
-        if self._first_font is None:
-            self._first_font = k
 
-def _fix2comp(num):
-    """
-    Convert from two's complement to negative.
-    """
-    assert 0 <= num < 2**32
-    if num & 2**31:
-        return num - 2**32
-    else:
-        return num
-
-def _mul2012(num1, num2):
-    """
-    Multiply two numbers in 20.12 fixed point format.
-    """
+def _mul1220(num1, num2):
+    """Multiply two numbers in 12.20 fixed point format."""
     # Separated into a function because >> has surprising precedence
     return (num1*num2) >> 20
 
-class Tfm(object):
-    """
-    A TeX Font Metric file. This implementation covers only the bare
-    minimum needed by the Dvi class.
-
-    .. attribute:: checksum
-
-       Used for verifying against the dvi file.
-
-    .. attribute:: design_size
 
-       Design size of the font (in what units?)
+@dataclasses.dataclass(frozen=True, kw_only=True)
+class TexMetrics:
+    """
+    Metrics of a glyph, with TeX semantics.
 
-    .. attribute::  width
+    TeX metrics have different semantics from FreeType metrics: tex_width
+    corresponds to FreeType's ``advance`` (i.e., including whitespace padding);
+    tex_height to ``bearingY`` (how much the glyph extends over the baseline);
+    tex_depth to ``height - bearingY`` (how much the glyph extends under the
+    baseline, as a positive number).
+    """
+    tex_width: int
+    tex_height: int
+    tex_depth: int
 
-       Width of each character, needs to be scaled by the factor
-       specified in the dvi file. This is a dict because indexing may
-       not start from 0.
 
-    .. attribute:: height
+class Tfm:
+    """
+    A TeX Font Metric file.
 
-       Height of each character.
+    This implementation covers only the bare minimum needed by the Dvi class.
 
-    .. attribute:: depth
+    Parameters
+    ----------
+    filename : str or path-like
 
-       Depth of each character.
+    Attributes
+    ----------
+    checksum : int
+       Used for verifying against the dvi file.
+    design_size : int
+       Design size of the font (in 12.20 TeX points); unused because it is
+       overridden by the scale factor specified in the dvi file.
     """
-    __slots__ = ('checksum', 'design_size', 'width', 'height', 'depth')
 
     def __init__(self, filename):
-        matplotlib.verbose.report('opening tfm file ' + filename, 'debug')
+        _log.debug('opening tfm file %s', filename)
         with open(filename, 'rb') as file:
             header1 = file.read(24)
-            lh, bc, ec, nw, nh, nd = \
-                struct.unpack(str('!6H'), header1[2:14])
-            matplotlib.verbose.report(
-                'lh=%d, bc=%d, ec=%d, nw=%d, nh=%d, nd=%d' % (
-                    lh, bc, ec, nw, nh, nd), 'debug')
+            lh, bc, ec, nw, nh, nd = struct.unpack('!6H', header1[2:14])
+            _log.debug('lh=%d, bc=%d, ec=%d, nw=%d, nh=%d, nd=%d',
+                       lh, bc, ec, nw, nh, nd)
             header2 = file.read(4*lh)
-            self.checksum, self.design_size = \
-                struct.unpack(str('!2I'), header2[:8])
+            self.checksum, self.design_size = struct.unpack('!2I', header2[:8])
             # there is also encoding information etc.
             char_info = file.read(4*(ec-bc+1))
-            widths = file.read(4*nw)
-            heights = file.read(4*nh)
-            depths = file.read(4*nd)
-
-        self.width, self.height, self.depth = {}, {}, {}
-        widths, heights, depths = \
-            [ struct.unpack(str('!%dI') % (len(x)/4), x)
-              for x in (widths, heights, depths) ]
-        for idx, char in enumerate(xrange(bc, ec+1)):
-            self.width[char] = _fix2comp(widths[ord(char_info[4*idx])])
-            self.height[char] = _fix2comp(heights[ord(char_info[4*idx+1]) >> 4])
-            self.depth[char] = _fix2comp(depths[ord(char_info[4*idx+1]) & 0xf])
-
-class PsfontsMap(object):
+            widths = struct.unpack(f'!{nw}i', file.read(4*nw))
+            heights = struct.unpack(f'!{nh}i', file.read(4*nh))
+            depths = struct.unpack(f'!{nd}i', file.read(4*nd))
+        self._glyph_metrics = {}
+        for idx, char in enumerate(range(bc, ec+1)):
+            byte0 = char_info[4*idx]
+            byte1 = char_info[4*idx+1]
+            self._glyph_metrics[char] = TexMetrics(
+                tex_width=widths[byte0],
+                tex_height=heights[byte1 >> 4],
+                tex_depth=depths[byte1 & 0xf],
+            )
+
+    def get_metrics(self, idx):
+        """Return a glyph's TexMetrics, or None if unavailable."""
+        return self._glyph_metrics.get(idx)
+
+    width = _api.deprecated("3.11", alternative="get_metrics")(
+        property(lambda self: {c: m.tex_width for c, m in self._glyph_metrics}))
+    height = _api.deprecated("3.11", alternative="get_metrics")(
+        property(lambda self: {c: m.tex_height for c, m in self._glyph_metrics}))
+    depth = _api.deprecated("3.11", alternative="get_metrics")(
+        property(lambda self: {c: m.tex_depth for c, m in self._glyph_metrics}))
+
+
+PsFont = namedtuple('PsFont', 'texname psname effects encoding filename')
+
+
+class PsfontsMap:
     """
     A psfonts.map formatted file, mapping TeX fonts to PS fonts.
-    Usage::
-
-     >>> map = PsfontsMap(find_tex_file('pdftex.map'))
-     >>> entry = map['ptmbo8r']
-     >>> entry.texname
-     'ptmbo8r'
-     >>> entry.psname
-     'Times-Bold'
-     >>> entry.encoding
-     '/usr/local/texlive/2008/texmf-dist/fonts/enc/dvips/base/8r.enc'
-     >>> entry.effects
-     {'slant': 0.16700000000000001}
-     >>> entry.filename
 
+    Parameters
+    ----------
+    filename : str or path-like
+
+    Notes
+    -----
     For historical reasons, TeX knows many Type-1 fonts by different
     names than the outside world. (For one thing, the names have to
     fit in eight characters.) Also, TeX's native fonts are not Type-1
@@ -688,242 +906,310 @@ class PsfontsMap(object):
     file names.
 
     A texmf tree typically includes mapping files called e.g.
-    psfonts.map, pdftex.map, dvipdfm.map. psfonts.map is used by
-    dvips, pdftex.map by pdfTeX, and dvipdfm.map by dvipdfm.
-    psfonts.map might avoid embedding the 35 PostScript fonts (i.e.,
-    have no filename for them, as in the Times-Bold example above),
-    while the pdf-related files perhaps only avoid the "Base 14" pdf
-    fonts. But the user may have configured these files differently.
+    :file:`psfonts.map`, :file:`pdftex.map`, or :file:`dvipdfm.map`.
+    The file :file:`psfonts.map` is used by :program:`dvips`,
+    :file:`pdftex.map` by :program:`pdfTeX`, and :file:`dvipdfm.map`
+    by :program:`dvipdfm`. :file:`psfonts.map` might avoid embedding
+    the 35 PostScript fonts (i.e., have no filename for them, as in
+    the Times-Bold example above), while the pdf-related files perhaps
+    only avoid the "Base 14" pdf fonts. But the user may have
+    configured these files differently.
+
+    Examples
+    --------
+    >>> map = PsfontsMap(find_tex_file('pdftex.map'))
+    >>> entry = map[b'ptmbo8r']
+    >>> entry.texname
+    b'ptmbo8r'
+    >>> entry.psname
+    b'Times-Bold'
+    >>> entry.encoding
+    '/usr/local/texlive/2008/texmf-dist/fonts/enc/dvips/base/8r.enc'
+    >>> entry.effects
+    {'slant': 0.16700000000000001}
+    >>> entry.filename
     """
-    __slots__ = ('_font',)
-
-    def __init__(self, filename):
-        self._font = {}
-        with open(filename, 'rt') as file:
-            self._parse(file)
+    __slots__ = ('_filename', '_unparsed', '_parsed')
+
+    # Create a filename -> PsfontsMap cache, so that calling
+    # `PsfontsMap(filename)` with the same filename a second time immediately
+    # returns the same object.
+    @lru_cache
+    def __new__(cls, filename):
+        self = object.__new__(cls)
+        self._filename = os.fsdecode(filename)
+        # Some TeX distributions have enormous pdftex.map files which would
+        # take hundreds of milliseconds to parse, but it is easy enough to just
+        # store the unparsed lines (keyed by the first word, which is the
+        # texname) and parse them on-demand.
+        with open(filename, 'rb') as file:
+            self._unparsed = {}
+            for line in file:
+                tfmname = line.split(b' ', 1)[0]
+                self._unparsed.setdefault(tfmname, []).append(line)
+        self._parsed = {}
+        return self
 
     def __getitem__(self, texname):
+        assert isinstance(texname, bytes)
+        if texname in self._unparsed:
+            for line in self._unparsed.pop(texname):
+                if self._parse_and_cache_line(line):
+                    break
         try:
-            result = self._font[texname]
+            return self._parsed[texname]
         except KeyError:
-            result = self._font[texname.decode('ascii')]
-        fn, enc = result.filename, result.encoding
-        if fn is not None and not fn.startswith('/'):
-            result.filename = find_tex_file(fn)
-        if enc is not None and not enc.startswith('/'):
-            result.encoding = find_tex_file(result.encoding)
-        return result
-
-    def _parse(self, file):
-        """Parse each line into words."""
-        for line in file:
-            line = line.strip()
-            if line == '' or line.startswith('%'):
-                continue
-            words, pos = [], 0
-            while pos < len(line):
-                if line[pos] == '"': # double quoted word
-                    pos += 1
-                    end = line.index('"', pos)
-                    words.append(line[pos:end])
-                    pos = end + 1
-                else:                # ordinary word
-                    end = line.find(' ', pos+1)
-                    if end == -1: end = len(line)
-                    words.append(line[pos:end])
-                    pos = end
-                while pos < len(line) and line[pos] == ' ':
-                    pos += 1
-            self._register(words)
-
-    def _register(self, words):
-        """Register a font described by "words".
-
-        The format is, AFAIK: texname fontname [effects and filenames]
-        Effects are PostScript snippets like ".177 SlantFont",
-        filenames begin with one or two less-than signs. A filename
-        ending in enc is an encoding file, other filenames are font
-        files. This can be overridden with a left bracket: <[foobar
-        indicates an encoding file named foobar.
-
-        There is some difference between <foo.pfb and <<bar.pfb in
-        subsetting, but I have no example of << in my TeX installation.
-        """
+            raise LookupError(
+                f"The font map {self._filename!r} is missing a PostScript font "
+                f"associated to TeX font {texname.decode('ascii')!r}; this problem can "
+                f"often be solved by installing a suitable PostScript font package in "
+                f"your TeX package manager") from None
 
+    def _parse_and_cache_line(self, line):
+        """
+        Parse a line in the font mapping file.
+
+        The format is (partially) documented at
+        http://mirrors.ctan.org/systems/doc/pdftex/manual/pdftex-a.pdf
+        https://tug.org/texinfohtml/dvips.html#psfonts_002emap
+        Each line can have the following fields:
+
+        - tfmname (first, only required field),
+        - psname (defaults to tfmname, must come immediately after tfmname if
+          present),
+        - fontflags (integer, must come immediately after psname if present,
+          ignored by us),
+        - special (SlantFont and ExtendFont, only field that is double-quoted),
+        - fontfile, encodingfile (optional, prefixed by <, <<, or <[; << always
+          precedes a font, <[ always precedes an encoding, < can precede either
+          but then an encoding file must have extension .enc; < and << also
+          request different font subsetting behaviors but we ignore that; < can
+          be separated from the filename by whitespace).
+
+        special, fontfile, and encodingfile can appear in any order.
+        """
         # If the map file specifies multiple encodings for a font, we
         # follow pdfTeX in choosing the last one specified. Such
         # entries are probably mistakes but they have occurred.
-        # http://tex.stackexchange.com/questions/10826/
-        # http://article.gmane.org/gmane.comp.tex.pdftex/4914
-
-        texname, psname = words[:2]
-        effects, encoding, filename = '', None, None
-        for word in words[2:]:
-            if not word.startswith('<'):
-                effects = word
-            else:
-                word = word.lstrip('<')
-                if word.startswith('[') or word.endswith('.enc'):
-                    if encoding is not None:
-                        matplotlib.verbose.report(
-                            'Multiple encodings for %s = %s'
-                            % (texname, psname), 'debug')
-                    if word.startswith('['):
-                        encoding = word[1:]
+        # https://tex.stackexchange.com/q/10826/
+
+        if not line or line.startswith((b" ", b"%", b"*", b";", b"#")):
+            return
+        tfmname = basename = special = encodingfile = fontfile = None
+        is_subsetted = is_t1 = is_truetype = False
+        matches = re.finditer(br'"([^"]*)(?:"|$)|(\S+)', line)
+        for match in matches:
+            quoted, unquoted = match.groups()
+            if unquoted:
+                if unquoted.startswith(b"<<"):  # font
+                    fontfile = unquoted[2:]
+                elif unquoted.startswith(b"<["):  # encoding
+                    encodingfile = unquoted[2:]
+                elif unquoted.startswith(b"<"):  # font or encoding
+                    word = (
+                        # <foo => foo
+                        unquoted[1:]
+                        # < by itself => read the next word
+                        or next(filter(None, next(matches).groups())))
+                    if word.endswith(b".enc"):
+                        encodingfile = word
                     else:
-                        encoding = word
-                else:
-                    assert filename is None
-                    filename = word
-
-        eff = effects.split()
+                        fontfile = word
+                        is_subsetted = True
+                elif tfmname is None:
+                    tfmname = unquoted
+                elif basename is None:
+                    basename = unquoted
+            elif quoted:
+                special = quoted
         effects = {}
-        try:
-            effects['slant'] = float(eff[eff.index('SlantFont')-1])
-        except ValueError:
-            pass
-        try:
-            effects['extend'] = float(eff[eff.index('ExtendFont')-1])
-        except ValueError:
-            pass
-
-        self._font[texname] = mpl_cbook.Bunch(
-            texname=texname, psname=psname, effects=effects,
-            encoding=encoding, filename=filename)
-
-class Encoding(object):
+        if special:
+            words = reversed(special.split())
+            for word in words:
+                if word == b"SlantFont":
+                    effects["slant"] = float(next(words))
+                elif word == b"ExtendFont":
+                    effects["extend"] = float(next(words))
+
+        # Verify some properties of the line that would cause it to be ignored
+        # otherwise.
+        if fontfile is not None:
+            if fontfile.endswith((b".ttf", b".ttc")):
+                is_truetype = True
+            elif not fontfile.endswith(b".otf"):
+                is_t1 = True
+        elif basename is not None:
+            is_t1 = True
+        if is_truetype and is_subsetted and encodingfile is None:
+            return
+        if not is_t1 and ("slant" in effects or "extend" in effects):
+            return
+        if abs(effects.get("slant", 0)) > 1:
+            return
+        if abs(effects.get("extend", 0)) > 2:
+            return
+
+        if basename is None:
+            basename = tfmname
+        if encodingfile is not None:
+            encodingfile = find_tex_file(encodingfile)
+        if fontfile is not None:
+            fontfile = find_tex_file(fontfile)
+        self._parsed[tfmname] = PsFont(
+            texname=tfmname, psname=basename, effects=effects,
+            encoding=encodingfile, filename=fontfile)
+        return True
+
+
+def _parse_enc(path):
+    r"""
+    Parse a \*.enc file referenced from a psfonts.map style file.
+
+    The format supported by this function is a tiny subset of PostScript.
+
+    Parameters
+    ----------
+    path : `os.PathLike`
+
+    Returns
+    -------
+    list
+        The nth list item is the PostScript glyph name of the nth glyph.
     """
-    Parses a \*.enc file referenced from a psfonts.map style file.
-    The format this class understands is a very limited subset of
-    PostScript.
+    no_comments = re.sub("%.*", "", Path(path).read_text(encoding="ascii"))
+    array = re.search(r"(?s)\[(.*)\]", no_comments).group(1)
+    lines = [line for line in array.split() if line]
+    if all(line.startswith("/") for line in lines):
+        return [line[1:] for line in lines]
+    else:
+        raise ValueError(f"Failed to parse {path} as Postscript encoding")
 
-    Usage (subject to change)::
 
-      for name in Encoding(filename):
-          whatever(name)
-    """
-    __slots__ = ('encoding',)
+class _LuatexKpsewhich:
+    @cache  # A singleton.
+    def __new__(cls):
+        self = object.__new__(cls)
+        self._proc = self._new_proc()
+        return self
 
-    def __init__(self, filename):
-        with open(filename, 'rt') as file:
-            matplotlib.verbose.report('Parsing TeX encoding ' + filename, 'debug-annoying')
-            self.encoding = self._parse(file)
-            matplotlib.verbose.report('Result: ' + repr(self.encoding), 'debug-annoying')
+    def _new_proc(self):
+        return subprocess.Popen(
+            ["luatex", "--luaonly",
+             str(cbook._get_data_path("kpsewhich.lua"))],
+            stdin=subprocess.PIPE, stdout=subprocess.PIPE)
 
-    def __iter__(self):
-        for name in self.encoding:
-            yield name
-
-    def _parse(self, file):
-        result = []
-
-        state = 0
-        for line in file:
-            comment_start = line.find('%')
-            if comment_start > -1:
-                line = line[:comment_start]
-            line = line.strip()
-
-            if state == 0:
-                # Expecting something like /FooEncoding [
-                if '[' in line:
-                    state = 1
-                    line = line[line.index('[')+1:].strip()
-
-            if state == 1:
-                if ']' in line: # ] def
-                    line = line[:line.index(']')]
-                    state = 2
-                words = line.split()
-                for w in words:
-                    if w.startswith('/'):
-                        # Allow for /abc/def/ghi
-                        subwords = w.split('/')
-                        result.extend(subwords[1:])
-                    else:
-                        raise ValueError("Broken name in encoding file: " + w)
+    def search(self, filename):
+        if self._proc.poll() is not None:  # Dead, restart it.
+            self._proc = self._new_proc()
+        self._proc.stdin.write(os.fsencode(filename) + b"\n")
+        self._proc.stdin.flush()
+        out = self._proc.stdout.readline().rstrip()
+        return None if out == b"nil" else os.fsdecode(out)
 
-        return result
 
-def find_tex_file(filename, format=None):
+@lru_cache
+def find_tex_file(filename):
     """
-    Call :program:`kpsewhich` to find a file in the texmf tree. If
-    *format* is not None, it is used as the value for the
-    :option:`--format` option.
+    Find a file in the texmf tree using kpathsea_.
+
+    The kpathsea library, provided by most existing TeX distributions, both
+    on Unix-like systems and on Windows (MikTeX), is invoked via a long-lived
+    luatex process if luatex is installed, or via kpsewhich otherwise.
 
-    Apparently most existing TeX distributions on Unix-like systems
-    use kpathsea. I hear MikTeX (a popular distribution on Windows)
-    doesn't use kpathsea, so what do we do? (TODO)
+    .. _kpathsea: https://www.tug.org/kpathsea/
 
-    .. seealso::
+    Parameters
+    ----------
+    filename : str or path-like
 
-      `Kpathsea documentation <http://www.tug.org/kpathsea/>`_
-        The library that :program:`kpsewhich` is part of.
+    Raises
+    ------
+    FileNotFoundError
+        If the file is not found.
     """
 
-    cmd = ['kpsewhich']
-    if format is not None:
-        cmd += ['--format=' + format]
-    cmd += [filename]
-
-    matplotlib.verbose.report('find_tex_file(%s): %s' \
-                                  % (filename,cmd), 'debug')
-    # stderr is unused, but reading it avoids a subprocess optimization
-    # that breaks EINTR handling in some Python versions:
-    # http://bugs.python.org/issue12493
-    # https://github.com/matplotlib/matplotlib/issues/633
-    pipe = subprocess.Popen(cmd, stdout=subprocess.PIPE,
-                            stderr=subprocess.PIPE)
-    result = pipe.communicate()[0].rstrip()
-    matplotlib.verbose.report('find_tex_file result: %s' % result,
-                              'debug')
-    return result.decode('ascii')
-
-# With multiple text objects per figure (e.g., tick labels) we may end
-# up reading the same tfm and vf files many times, so we implement a
-# simple cache. TODO: is this worth making persistent?
-
-_tfmcache = {}
-_vfcache = {}
-
-def _fontfile(texname, class_, suffix, cache):
+    # we expect these to always be ascii encoded, but use utf-8
+    # out of caution
+    if isinstance(filename, bytes):
+        filename = filename.decode('utf-8', errors='replace')
+
     try:
-        return cache[texname]
-    except KeyError:
-        pass
+        lk = _LuatexKpsewhich()
+    except FileNotFoundError:
+        lk = None  # Fallback to directly calling kpsewhich, as below.
 
-    filename = find_tex_file(texname + suffix)
-    if filename:
-        result = class_(filename)
+    if lk:
+        path = lk.search(filename)
+    else:
+        if sys.platform == 'win32':
+            # On Windows only, kpathsea can use utf-8 for cmd args and output.
+            # The `command_line_encoding` environment variable is set to force
+            # it to always use utf-8 encoding.  See Matplotlib issue #11848.
+            kwargs = {'env': {**os.environ, 'command_line_encoding': 'utf-8'},
+                      'encoding': 'utf-8'}
+        else:  # On POSIX, run through the equivalent of os.fsdecode().
+            kwargs = {'encoding': sys.getfilesystemencoding(),
+                      'errors': 'surrogateescape'}
+
+        try:
+            path = (cbook._check_and_log_subprocess(['kpsewhich', filename],
+                                                    _log, **kwargs)
+                    .rstrip('\n'))
+        except (FileNotFoundError, RuntimeError):
+            path = None
+
+    if path:
+        return path
     else:
-        result = None
+        raise FileNotFoundError(
+            f"Matplotlib's TeX implementation searched for a file named "
+            f"{filename!r} in your texmf tree, but could not find it")
 
-    cache[texname] = result
-    return result
 
-def _tfmfile(texname):
-    return _fontfile(texname, Tfm, '.tfm', _tfmcache)
+@lru_cache
+def _fontfile(cls, suffix, texname):
+    return cls(find_tex_file(texname + suffix))
 
-def _vffile(texname):
-    return _fontfile(texname, Vf, '.vf', _vfcache)
 
+_tfmfile = partial(_fontfile, Tfm, ".tfm")
+_vffile = partial(_fontfile, Vf, ".vf")
 
 
 if __name__ == '__main__':
-    import sys
-    matplotlib.verbose.set_level('debug-annoying')
-    fname = sys.argv[1]
-    try: dpi = float(sys.argv[2])
-    except IndexError: dpi = None
-    dvi = Dvi(fname, dpi)
-    fontmap = PsfontsMap(find_tex_file('pdftex.map'))
-    for page in dvi:
-        print('=== new page ===')
-        fPrev = None
-        for x,y,f,c,w in page.text:
-            if f != fPrev:
-                print('font', f.texname, 'scaled', f._scale/pow(2.0,20))
-                fPrev = f
-            print(x,y,c, 32 <= c < 128 and chr(c) or '.', w)
-        for x,y,w,h in page.boxes:
-            print(x,y,'BOX',w,h)
+    import itertools
+    from argparse import ArgumentParser
+
+    import fontTools.agl
+
+    from matplotlib.ft2font import FT2Font
+
+    parser = ArgumentParser()
+    parser.add_argument("filename")
+    parser.add_argument("dpi", nargs="?", type=float, default=None)
+    args = parser.parse_args()
+
+    def _print_fields(*args):
+        print(" ".join(map("{:>11}".format, args)))
+
+    with Dvi(args.filename, args.dpi) as dvi:
+        fontmap = PsfontsMap(find_tex_file('pdftex.map'))
+        for page in dvi:
+            print(f"=== NEW PAGE === "
+                  f"(w: {page.width}, h: {page.height}, d: {page.descent})")
+            print("--- GLYPHS ---")
+            for font, group in itertools.groupby(
+                    page.text, lambda text: text.font):
+                psfont = fontmap[font.texname]
+                fontpath = psfont.filename
+                print(f"font: {font.texname.decode('latin-1')} "
+                      f"(scale: {font._scale / 2 ** 20}) at {fontpath}")
+                face = FT2Font(fontpath)
+                _print_fields("x", "y", "glyph", "chr", "w")
+                for text in group:
+                    glyph_str = fontTools.agl.toUnicode(face.get_glyph_name(text.index))
+                    _print_fields(text.x, text.y, text.glyph, glyph_str, text.width)
+            if page.boxes:
+                print("--- BOXES ---")
+                _print_fields("x", "y", "h", "w")
+                for box in page.boxes:
+                    _print_fields(box.x, box.y, box.height, box.width)
diff --git a/lib/matplotlib/dviread.pyi b/lib/matplotlib/dviread.pyi
new file mode 100644
index 000000000000..12a9215b5308
--- /dev/null
+++ b/lib/matplotlib/dviread.pyi
@@ -0,0 +1,107 @@
+import dataclasses
+from pathlib import Path
+import io
+import os
+from enum import Enum
+from collections.abc import Generator
+
+from typing import NamedTuple
+from typing_extensions import Self  # < Py 3.11
+
+class _dvistate(Enum):
+    pre = ...
+    outer = ...
+    inpage = ...
+    post_post = ...
+    finale = ...
+
+class Page(NamedTuple):
+    text: list[Text]
+    boxes: list[Box]
+    height: int
+    width: int
+    descent: int
+
+class Box(NamedTuple):
+    x: int
+    y: int
+    height: int
+    width: int
+
+class Text(NamedTuple):
+    x: int
+    y: int
+    font: DviFont
+    glyph: int
+    width: int
+    @property
+    def font_path(self) -> Path: ...
+    @property
+    def font_size(self) -> float: ...
+    @property
+    def font_effects(self) -> dict[str, float]: ...
+    @property
+    def index(self) -> int: ...  # type: ignore[override]
+    @property
+    def glyph_name_or_index(self) -> int | str: ...
+
+class Dvi:
+    file: io.BufferedReader
+    dpi: float | None
+    fonts: dict[int, DviFont]
+    state: _dvistate
+    def __init__(self, filename: str | os.PathLike, dpi: float | None) -> None: ...
+    def __enter__(self) -> Self: ...
+    def __exit__(self, etype, evalue, etrace) -> None: ...
+    def __iter__(self) -> Generator[Page, None, None]: ...
+    def close(self) -> None: ...
+
+class DviFont:
+    texname: bytes
+    size: float
+    def __init__(
+        self, scale: float, tfm: Tfm, texname: bytes, vf: Vf | None
+    ) -> None: ...
+    def __eq__(self, other: object) -> bool: ...
+    def __ne__(self, other: object) -> bool: ...
+    @property
+    def widths(self) -> list[int]: ...
+    @property
+    def fname(self) -> str: ...
+
+class Vf(Dvi):
+    def __init__(self, filename: str | os.PathLike) -> None: ...
+    def __getitem__(self, code: int) -> Page: ...
+
+@dataclasses.dataclass(frozen=True, kw_only=True)
+class TexMetrics:
+    tex_width: int
+    tex_height: int
+    tex_depth: int
+    # work around mypy not respecting kw_only=True in stub files
+    __match_args__ = ()
+
+class Tfm:
+    checksum: int
+    design_size: int
+    def __init__(self, filename: str | os.PathLike) -> None: ...
+    def get_metrics(self, idx: int) -> TexMetrics | None: ...
+    @property
+    def width(self) -> dict[int, int]: ...
+    @property
+    def height(self) -> dict[int, int]: ...
+    @property
+    def depth(self) -> dict[int, int]: ...
+
+class PsFont(NamedTuple):
+    texname: bytes
+    psname: bytes
+    effects: dict[str, float]
+    encoding: None | bytes
+    filename: str
+
+class PsfontsMap:
+    def __new__(cls, filename: str | os.PathLike) -> Self: ...
+    def __getitem__(self, texname: bytes) -> PsFont: ...
+
+def find_tex_file(filename: str | os.PathLike) -> str: ...
diff --git a/lib/matplotlib/figure.py b/lib/matplotlib/figure.py
index d34f1b831bf5..c15da7597acd 100644
--- a/lib/matplotlib/figure.py
+++ b/lib/matplotlib/figure.py
@@ -1,1717 +1,3713 @@
 """
-The figure module provides the top-level
-:class:`~matplotlib.artist.Artist`, the :class:`Figure`, which
-contains all the plot elements.  The following classes are defined
+`matplotlib.figure` implements the following classes:
 
-:class:`SubplotParams`
-    control the default spacing of the subplots
+`Figure`
+    Top level `~matplotlib.artist.Artist`, which holds all plot elements.
+    Many methods are implemented in `FigureBase`.
 
-:class:`Figure`
-    top level container for all plot elements
+`SubFigure`
+    A logical figure inside a figure, usually added to a figure (or parent `SubFigure`)
+    with `Figure.add_subfigure` or `Figure.subfigures` methods.
 
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+Figures are typically created using pyplot methods `~.pyplot.figure`,
+`~.pyplot.subplots`, and `~.pyplot.subplot_mosaic`.
 
-import six
+.. plot::
+    :include-source:
 
-import warnings
-from operator import itemgetter
+    fig, ax = plt.subplots(figsize=(2, 2), facecolor='lightskyblue',
+                           layout='constrained')
+    fig.suptitle('Figure')
+    ax.set_title('Axes', loc='left', fontstyle='oblique', fontsize='medium')
 
-import numpy as np
+Some situations call for directly instantiating a `~.figure.Figure` class,
+usually inside an application of some sort (see :ref:`user_interfaces` for a
+list of examples) .  More information about Figures can be found at
+:ref:`figure-intro`.
+"""
 
-from matplotlib import rcParams
-from matplotlib import docstring
-from matplotlib import __version__ as _mpl_version
+from contextlib import ExitStack
+import inspect
+import itertools
+import functools
+import logging
+from numbers import Integral
+import threading
 
-import matplotlib.artist as martist
-from matplotlib.artist import Artist, allow_rasterization
+import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _blocking_input, backend_bases, _docstring, projections
+from matplotlib.artist import (
+    Artist, allow_rasterization, _finalize_rasterization)
+from matplotlib.backend_bases import (
+    DrawEvent, FigureCanvasBase, NonGuiException, MouseButton, _get_renderer)
+import matplotlib._api as _api
 import matplotlib.cbook as cbook
-
-from matplotlib.cbook import Stack, iterable
-
-from matplotlib import _image
-from matplotlib.image import FigureImage
-
 import matplotlib.colorbar as cbar
-
-from matplotlib.axes import Axes, SubplotBase, subplot_class_factory
-from matplotlib.blocking_input import BlockingMouseInput, BlockingKeyMouseInput
-from matplotlib.legend import Legend
+import matplotlib.image as mimage
+
+from matplotlib.axes import Axes
+from matplotlib.gridspec import GridSpec, SubplotParams
+from matplotlib.layout_engine import (
+    ConstrainedLayoutEngine, TightLayoutEngine, LayoutEngine,
+    PlaceHolderLayoutEngine
+)
+import matplotlib.legend as mlegend
 from matplotlib.patches import Rectangle
-from matplotlib.projections import (get_projection_names,
-                                    process_projection_requirements)
-from matplotlib.text import Text, _process_text_args
+from matplotlib.text import Text
 from matplotlib.transforms import (Affine2D, Bbox, BboxTransformTo,
                                    TransformedBbox)
-from matplotlib.backend_bases import NonGuiException
 
-docstring.interpd.update(projection_names=get_projection_names())
+_log = logging.getLogger(__name__)
 
 
-class AxesStack(Stack):
-    """
-    Specialization of the Stack to handle all tracking of Axes in a Figure.
-    This stack stores ``key, (ind, axes)`` pairs, where:
+def _stale_figure_callback(self, val):
+    if (fig := self.get_figure(root=False)) is not None:
+        fig.stale = val
 
-        * **key** should be a hash of the args and kwargs
-          used in generating the Axes.
-        * **ind** is a serial number for tracking the order
-          in which axes were added.
 
-    The AxesStack is a callable, where ``ax_stack()`` returns
-    the current axes. Alternatively the :meth:`current_key_axes` will
-    return the current key and associated axes.
+class _AxesStack:
+    """
+    Helper class to track Axes in a figure.
 
+    Axes are tracked both in the order in which they have been added
+    (``self._axes`` insertion/iteration order) and in the separate "gca" stack
+    (which is the index to which they map in the ``self._axes`` dict).
     """
+
     def __init__(self):
-        Stack.__init__(self)
-        self._ind = 0
+        self._axes = {}  # Mapping of Axes to "gca" order.
+        self._counter = itertools.count()
 
     def as_list(self):
+        """List the Axes that have been added to the figure."""
+        return [*self._axes]  # This relies on dict preserving order.
+
+    def remove(self, a):
+        """Remove the Axes from the stack."""
+        self._axes.pop(a)
+
+    def bubble(self, a):
+        """Move an Axes, which must already exist in the stack, to the top."""
+        if a not in self._axes:
+            raise ValueError("Axes has not been added yet")
+        self._axes[a] = next(self._counter)
+
+    def add(self, a):
+        """Add an Axes to the stack, ignoring it if already present."""
+        if a not in self._axes:
+            self._axes[a] = next(self._counter)
+
+    def current(self):
+        """Return the active Axes, or None if the stack is empty."""
+        return max(self._axes, key=self._axes.__getitem__, default=None)
+
+    def __getstate__(self):
+        return {
+            **vars(self),
+            "_counter": max(self._axes.values(), default=0)
+        }
+
+    def __setstate__(self, state):
+        next_counter = state.pop('_counter')
+        vars(self).update(state)
+        self._counter = itertools.count(next_counter)
+
+
+class FigureBase(Artist):
+    """
+    Base class for `.Figure` and `.SubFigure` containing the methods that add
+    artists to the figure or subfigure, create Axes, etc.
+    """
+    def __init__(self, **kwargs):
+        super().__init__()
+        # remove the non-figure artist _axes property
+        # as it makes no sense for a figure to be _in_ an Axes
+        # this is used by the property methods in the artist base class
+        # which are over-ridden in this class
+        del self._axes
+
+        self._suptitle = None
+        self._supxlabel = None
+        self._supylabel = None
+
+        # groupers to keep track of x, y labels and title we want to align.
+        # see self.align_xlabels, self.align_ylabels,
+        # self.align_titles, and axis._get_tick_boxes_siblings
+        self._align_label_groups = {
+            "x": cbook.Grouper(),
+            "y": cbook.Grouper(),
+            "title": cbook.Grouper()
+        }
+
+        self._localaxes = []  # track all Axes
+        self.artists = []
+        self.lines = []
+        self.patches = []
+        self.texts = []
+        self.images = []
+        self.legends = []
+        self.subfigs = []
+        self.stale = True
+        self.suppressComposite = None
+        self.set(**kwargs)
+
+    def _get_draw_artists(self, renderer):
+        """Also runs apply_aspect"""
+        artists = self.get_children()
+
+        artists.remove(self.patch)
+        artists = sorted(
+            (artist for artist in artists if not artist.get_animated()),
+            key=lambda artist: artist.get_zorder())
+        for ax in self._localaxes:
+            locator = ax.get_axes_locator()
+            ax.apply_aspect(locator(ax, renderer) if locator else None)
+
+            for child in ax.get_children():
+                if hasattr(child, 'apply_aspect'):
+                    locator = child.get_axes_locator()
+                    child.apply_aspect(
+                        locator(child, renderer) if locator else None)
+        return artists
+
+    def autofmt_xdate(
+            self, bottom=0.2, rotation=30, ha='right', which='major'):
         """
-        Return a list of the Axes instances that have been added to the figure
-        """
-        ia_list = [a for k, a in self._elements]
-        ia_list.sort()
-        return [a for i, a in ia_list]
+        Date ticklabels often overlap, so it is useful to rotate them
+        and right align them.  Also, a common use case is a number of
+        subplots with shared x-axis where the x-axis is date data.  The
+        ticklabels are often long, and it helps to rotate them on the
+        bottom subplot and turn them off on other subplots, as well as
+        turn off xlabels.
+
+        Parameters
+        ----------
+        bottom : float, default: 0.2
+            The bottom of the subplots for `subplots_adjust`.
+        rotation : float, default: 30 degrees
+            The rotation angle of the xtick labels in degrees.
+        ha : {'left', 'center', 'right'}, default: 'right'
+            The horizontal alignment of the xticklabels.
+        which : {'major', 'minor', 'both'}, default: 'major'
+            Selects which ticklabels to rotate.
+        """
+        _api.check_in_list(['major', 'minor', 'both'], which=which)
+        axes = [ax for ax in self.axes if ax._label != '<colorbar>']
+        allsubplots = all(ax.get_subplotspec() for ax in axes)
+        if len(axes) == 1:
+            for label in self.axes[0].get_xticklabels(which=which):
+                label.set_ha(ha)
+                label.set_rotation(rotation)
+        else:
+            if allsubplots:
+                for ax in axes:
+                    if ax.get_subplotspec().is_last_row():
+                        for label in ax.get_xticklabels(which=which):
+                            label.set_ha(ha)
+                            label.set_rotation(rotation)
+                    else:
+                        for label in ax.get_xticklabels(which=which):
+                            label.set_visible(False)
+                        ax.set_xlabel('')
+
+        engine = self.get_layout_engine()
+        if allsubplots and (engine is None or engine.adjust_compatible):
+            self.subplots_adjust(bottom=bottom)
+        self.stale = True
 
-    def get(self, key):
+    def get_children(self):
+        """Get a list of artists contained in the figure."""
+        return [self.patch,
+                *self.artists,
+                *self._localaxes,
+                *self.lines,
+                *self.patches,
+                *self.texts,
+                *self.images,
+                *self.legends,
+                *self.subfigs]
+
+    def get_figure(self, root=None):
+        """
+        Return the `.Figure` or `.SubFigure` instance the (Sub)Figure belongs to.
+
+        Parameters
+        ----------
+        root : bool, default=True
+            If False, return the (Sub)Figure this artist is on.  If True,
+            return the root Figure for a nested tree of SubFigures.
+
+            .. deprecated:: 3.10
+
+                From version 3.12 *root* will default to False.
+        """
+        if self._root_figure is self:
+            # Top level Figure
+            return self
+
+        if self._parent is self._root_figure:
+            # Return early to prevent the deprecation warning when *root* does not
+            # matter
+            return self._parent
+
+        if root is None:
+            # When deprecation expires, consider removing the docstring and just
+            # inheriting the one from Artist.
+            message = ('From Matplotlib 3.12 SubFigure.get_figure will by default '
+                       'return the direct parent figure, which may be a SubFigure. '
+                       'To suppress this warning, pass the root parameter.  Pass '
+                       '`True` to maintain the old behavior and `False` to opt-in to '
+                       'the future behavior.')
+            _api.warn_deprecated('3.10', message=message)
+            root = True
+
+        if root:
+            return self._root_figure
+
+        return self._parent
+
+    def set_figure(self, fig):
+        """
+        .. deprecated:: 3.10
+            Currently this method will raise an exception if *fig* is anything other
+            than the root `.Figure` this (Sub)Figure is on.  In future it will always
+            raise an exception.
+        """
+        no_switch = ("The parent and root figures of a (Sub)Figure are set at "
+                     "instantiation and cannot be changed.")
+        if fig is self._root_figure:
+            _api.warn_deprecated(
+                "3.10",
+                message=(f"{no_switch} From Matplotlib 3.12 this operation will raise "
+                         "an exception."))
+            return
+
+        raise ValueError(no_switch)
+
+    figure = property(functools.partial(get_figure, root=True), set_figure,
+                      doc=("The root `Figure`.  To get the parent of a `SubFigure`, "
+                           "use the `get_figure` method."))
+
+    def contains(self, mouseevent):
         """
-        Return the Axes instance that was added with *key*.
-        If it is not present, return None.
+        Test whether the mouse event occurred on the figure.
+
+        Returns
+        -------
+            bool, {}
         """
-        item = dict(self._elements).get(key)
-        if item is None:
-            return None
-        return item[1]
+        if self._different_canvas(mouseevent):
+            return False, {}
+        inside = self.bbox.contains(mouseevent.x, mouseevent.y)
+        return inside, {}
 
-    def _entry_from_axes(self, e):
-        ind, k = dict([(a, (ind, k)) for (k, (ind, a)) in self._elements])[e]
-        return (k, (ind, e))
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        return self.bbox
 
-    def remove(self, a):
-        """Remove the axes from the stack."""
-        Stack.remove(self, self._entry_from_axes(a))
+    def _suplabels(self, t, info, **kwargs):
+        """
+        Add a centered %(name)s to the figure.
+
+        Parameters
+        ----------
+        t : str
+            The %(name)s text.
+        x : float, default: %(x0)s
+            The x location of the text in figure coordinates.
+        y : float, default: %(y0)s
+            The y location of the text in figure coordinates.
+        horizontalalignment, ha : {'center', 'left', 'right'}, default: %(ha)s
+            The horizontal alignment of the text relative to (*x*, *y*).
+        verticalalignment, va : {'top', 'center', 'bottom', 'baseline'}, \
+default: %(va)s
+            The vertical alignment of the text relative to (*x*, *y*).
+        fontsize, size : default: :rc:`figure.%(rc)ssize`
+            The font size of the text. See `.Text.set_size` for possible
+            values.
+        fontweight, weight : default: :rc:`figure.%(rc)sweight`
+            The font weight of the text. See `.Text.set_weight` for possible
+            values.
 
-    def bubble(self, a):
+        Returns
+        -------
+        text
+            The `.Text` instance of the %(name)s.
+
+        Other Parameters
+        ----------------
+        fontproperties : None or dict, optional
+            A dict of font properties. If *fontproperties* is given the
+            default values for font size and weight are taken from the
+            `.FontProperties` defaults. :rc:`figure.%(rc)ssize` and
+            :rc:`figure.%(rc)sweight` are ignored in this case.
+
+        **kwargs
+            Additional kwargs are `matplotlib.text.Text` properties.
+        """
+
+        x = kwargs.pop('x', None)
+        y = kwargs.pop('y', None)
+        if info['name'] in ['_supxlabel', '_suptitle']:
+            autopos = y is None
+        elif info['name'] == '_supylabel':
+            autopos = x is None
+        if x is None:
+            x = info['x0']
+        if y is None:
+            y = info['y0']
+
+        kwargs = cbook.normalize_kwargs(kwargs, Text)
+        kwargs.setdefault('horizontalalignment', info['ha'])
+        kwargs.setdefault('verticalalignment', info['va'])
+        kwargs.setdefault('rotation', info['rotation'])
+
+        if 'fontproperties' not in kwargs:
+            kwargs.setdefault('fontsize', mpl.rcParams[info['size']])
+            kwargs.setdefault('fontweight', mpl.rcParams[info['weight']])
+
+        suplab = getattr(self, info['name'])
+        if suplab is not None:
+            suplab.set_text(t)
+            suplab.set_position((x, y))
+            suplab.set(**kwargs)
+        else:
+            suplab = self.text(x, y, t, **kwargs)
+            setattr(self, info['name'], suplab)
+        suplab._autopos = autopos
+        self.stale = True
+        return suplab
+
+    @_docstring.Substitution(x0=0.5, y0=0.98, name='super title', ha='center',
+                             va='top', rc='title')
+    @_docstring.copy(_suplabels)
+    def suptitle(self, t, **kwargs):
+        # docstring from _suplabels...
+        info = {'name': '_suptitle', 'x0': 0.5, 'y0': 0.98,
+                'ha': 'center', 'va': 'top', 'rotation': 0,
+                'size': 'figure.titlesize', 'weight': 'figure.titleweight'}
+        return self._suplabels(t, info, **kwargs)
+
+    def get_suptitle(self):
+        """Return the suptitle as string or an empty string if not set."""
+        text_obj = self._suptitle
+        return "" if text_obj is None else text_obj.get_text()
+
+    @_docstring.Substitution(x0=0.5, y0=0.01, name='super xlabel', ha='center',
+                             va='bottom', rc='label')
+    @_docstring.copy(_suplabels)
+    def supxlabel(self, t, **kwargs):
+        # docstring from _suplabels...
+        info = {'name': '_supxlabel', 'x0': 0.5, 'y0': 0.01,
+                'ha': 'center', 'va': 'bottom', 'rotation': 0,
+                'size': 'figure.labelsize', 'weight': 'figure.labelweight'}
+        return self._suplabels(t, info, **kwargs)
+
+    def get_supxlabel(self):
+        """Return the supxlabel as string or an empty string if not set."""
+        text_obj = self._supxlabel
+        return "" if text_obj is None else text_obj.get_text()
+
+    @_docstring.Substitution(x0=0.02, y0=0.5, name='super ylabel', ha='left',
+                             va='center', rc='label')
+    @_docstring.copy(_suplabels)
+    def supylabel(self, t, **kwargs):
+        # docstring from _suplabels...
+        info = {'name': '_supylabel', 'x0': 0.02, 'y0': 0.5,
+                'ha': 'left', 'va': 'center', 'rotation': 'vertical',
+                'rotation_mode': 'anchor', 'size': 'figure.labelsize',
+                'weight': 'figure.labelweight'}
+        return self._suplabels(t, info, **kwargs)
+
+    def get_supylabel(self):
+        """Return the supylabel as string or an empty string if not set."""
+        text_obj = self._supylabel
+        return "" if text_obj is None else text_obj.get_text()
+
+    def get_edgecolor(self):
+        """Get the edge color of the Figure rectangle."""
+        return self.patch.get_edgecolor()
+
+    def get_facecolor(self):
+        """Get the face color of the Figure rectangle."""
+        return self.patch.get_facecolor()
+
+    def get_frameon(self):
         """
-        Move the given axes, which must already exist in the
-        stack, to the top.
+        Return the figure's background patch visibility, i.e.
+        whether the figure background will be drawn. Equivalent to
+        ``Figure.patch.get_visible()``.
         """
-        return Stack.bubble(self, self._entry_from_axes(a))
+        return self.patch.get_visible()
 
-    def add(self, key, a):
+    def set_linewidth(self, linewidth):
         """
-        Add Axes *a*, with key *key*, to the stack, and return the stack.
+        Set the line width of the Figure rectangle.
 
-        If *a* is already on the stack, don't add it again, but
-        return *None*.
+        Parameters
+        ----------
+        linewidth : number
         """
-        # All the error checking may be unnecessary; but this method
-        # is called so seldom that the overhead is negligible.
-        if not isinstance(a, Axes):
-            raise ValueError("second argument, %s, is not an Axes" % a)
-        try:
-            hash(key)
-        except TypeError:
-            raise ValueError("first argument, %s, is not a valid key" % key)
-
-        a_existing = self.get(key)
-        if a_existing is not None:
-            Stack.remove(self, (key, a_existing))
-            warnings.warn(
-                "key %s already existed; Axes is being replaced" % key)
-            # I don't think the above should ever happen.
-
-        if a in self:
-            return None
-        self._ind += 1
-        return Stack.push(self, (key, (self._ind, a)))
+        self.patch.set_linewidth(linewidth)
 
-    def current_key_axes(self):
+    def get_linewidth(self):
         """
-        Return a tuple of ``(key, axes)`` for the active axes.
-
-        If no axes exists on the stack, then returns ``(None, None)``.
-
+        Get the line width of the Figure rectangle.
         """
-        if not len(self._elements):
-            return self._default, self._default
-        else:
-            key, (index, axes) = self._elements[self._pos]
-            return key, axes
+        return self.patch.get_linewidth()
 
-    def __call__(self):
-        return self.current_key_axes()[1]
+    def set_edgecolor(self, color):
+        """
+        Set the edge color of the Figure rectangle.
 
-    def __contains__(self, a):
-        return a in self.as_list()
+        Parameters
+        ----------
+        color : :mpltype:`color`
+        """
+        self.patch.set_edgecolor(color)
 
+    def set_facecolor(self, color):
+        """
+        Set the face color of the Figure rectangle.
 
-class SubplotParams(object):
-    """
-    A class to hold the parameters for a subplot
-    """
-    def __init__(self, left=None, bottom=None, right=None, top=None,
-                 wspace=None, hspace=None):
+        Parameters
+        ----------
+        color : :mpltype:`color`
         """
-        All dimensions are fraction of the figure width or height.
-        All values default to their rc params
+        self.patch.set_facecolor(color)
 
-        The following attributes are available
+    def set_frameon(self, b):
+        """
+        Set the figure's background patch visibility, i.e.
+        whether the figure background will be drawn. Equivalent to
+        ``Figure.patch.set_visible()``.
 
-        *left*  : 0.125
-            The left side of the subplots of the figure
+        Parameters
+        ----------
+        b : bool
+        """
+        self.patch.set_visible(b)
+        self.stale = True
 
-        *right* : 0.9
-            The right side of the subplots of the figure
+    frameon = property(get_frameon, set_frameon)
 
-        *bottom* : 0.1
-            The bottom of the subplots of the figure
+    def add_artist(self, artist, clip=False):
+        """
+        Add an `.Artist` to the figure.
 
-        *top* : 0.9
-            The top of the subplots of the figure
+        Usually artists are added to `~.axes.Axes` objects using
+        `.Axes.add_artist`; this method can be used in the rare cases where
+        one needs to add artists directly to the figure instead.
 
-        *wspace* : 0.2
-            The amount of width reserved for blank space between subplots
+        Parameters
+        ----------
+        artist : `~matplotlib.artist.Artist`
+            The artist to add to the figure. If the added artist has no
+            transform previously set, its transform will be set to
+            ``figure.transSubfigure``.
+        clip : bool, default: False
+            Whether the added artist should be clipped by the figure patch.
 
-        *hspace* : 0.2
-            The amount of height reserved for white space between subplots
+        Returns
+        -------
+        `~matplotlib.artist.Artist`
+            The added artist.
         """
+        artist.set_figure(self)
+        self.artists.append(artist)
+        artist._remove_method = self.artists.remove
 
-        self.validate = True
-        self.update(left, bottom, right, top, wspace, hspace)
+        if not artist.is_transform_set():
+            artist.set_transform(self.transSubfigure)
 
-    def update(self, left=None, bottom=None, right=None, top=None,
-               wspace=None, hspace=None):
-        """
-        Update the current values.  If any kwarg is None, default to
-        the current value, if set, otherwise to rc
+        if clip and artist.get_clip_path() is None:
+            artist.set_clip_path(self.patch)
+
+        self.stale = True
+        return artist
 
+    @_docstring.interpd
+    def add_axes(self, *args, **kwargs):
         """
+        Add an `~.axes.Axes` to the figure.
 
-        thisleft = getattr(self, 'left', None)
-        thisright = getattr(self, 'right', None)
-        thistop = getattr(self, 'top', None)
-        thisbottom = getattr(self, 'bottom', None)
-        thiswspace = getattr(self, 'wspace', None)
-        thishspace = getattr(self, 'hspace', None)
+        Call signatures::
 
-        self._update_this('left', left)
-        self._update_this('right', right)
-        self._update_this('bottom', bottom)
-        self._update_this('top', top)
-        self._update_this('wspace', wspace)
-        self._update_this('hspace', hspace)
+            add_axes(rect, projection=None, polar=False, **kwargs)
+            add_axes(ax)
 
-        def reset():
-            self.left = thisleft
-            self.right = thisright
-            self.top = thistop
-            self.bottom = thisbottom
-            self.wspace = thiswspace
-            self.hspace = thishspace
+        Parameters
+        ----------
+        rect : tuple (left, bottom, width, height)
+            The dimensions (left, bottom, width, height) of the new
+            `~.axes.Axes`. All quantities are in fractions of figure width and
+            height.
 
-        if self.validate:
-            if self.left >= self.right:
-                reset()
-                raise ValueError('left cannot be >= right')
+        projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', \
+'polar', 'rectilinear', str}, optional
+            The projection type of the `~.axes.Axes`. *str* is the name of
+            a custom projection, see `~matplotlib.projections`. The default
+            None results in a 'rectilinear' projection.
 
-            if self.bottom >= self.top:
-                reset()
-                raise ValueError('bottom cannot be >= top')
+        polar : bool, default: False
+            If True, equivalent to projection='polar'.
 
-    def _update_this(self, s, val):
-        if val is None:
-            val = getattr(self, s, None)
-            if val is None:
-                key = 'figure.subplot.' + s
-                val = rcParams[key]
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The `.axes.Axes` subclass that is instantiated.  This parameter
+            is incompatible with *projection* and *polar*.  See
+            :ref:`axisartist_users-guide-index` for examples.
 
-        setattr(self, s, val)
+        sharex, sharey : `~matplotlib.axes.Axes`, optional
+            Share the x or y `~matplotlib.axis` with sharex and/or sharey.
+            The axis will have the same limits, ticks, and scale as the axis
+            of the shared Axes.
 
+        label : str
+            A label for the returned Axes.
 
-class Figure(Artist):
+        Returns
+        -------
+        `~.axes.Axes`, or a subclass of `~.axes.Axes`
+            The returned Axes class depends on the projection used. It is
+            `~.axes.Axes` if rectilinear projection is used and
+            `.projections.polar.PolarAxes` if polar projection is used.
+
+        Other Parameters
+        ----------------
+        **kwargs
+            This method also takes the keyword arguments for
+            the returned Axes class. The keyword arguments for the
+            rectilinear Axes class `~.axes.Axes` can be found in
+            the following table but there might also be other keyword
+            arguments if another projection is used, see the actual Axes
+            class.
+
+            %(Axes:kwdoc)s
+
+        Notes
+        -----
+        In rare circumstances, `.add_axes` may be called with a single
+        argument, an Axes instance already created in the present figure but
+        not in the figure's list of Axes.
 
-    """
-    The Figure instance supports callbacks through a *callbacks*
-    attribute which is a :class:`matplotlib.cbook.CallbackRegistry`
-    instance.  The events you can connect to are 'dpi_changed', and
-    the callback will be called with ``func(fig)`` where fig is the
-    :class:`Figure` instance.
-
-    *patch*
-       The figure patch is drawn by a
-       :class:`matplotlib.patches.Rectangle` instance
-
-    *suppressComposite*
-       For multiple figure images, the figure will make composite
-       images depending on the renderer option_image_nocomposite
-       function.  If suppressComposite is True|False, this will
-       override the renderer.
-    """
+        See Also
+        --------
+        .Figure.add_subplot
+        .pyplot.subplot
+        .pyplot.axes
+        .Figure.subplots
+        .pyplot.subplots
 
-    def __str__(self):
-        return "Figure(%gx%g)" % tuple(self.bbox.size)
+        Examples
+        --------
+        Some simple examples::
 
-    def __init__(self,
-                 figsize=None,  # defaults to rc figure.figsize
-                 dpi=None,  # defaults to rc figure.dpi
-                 facecolor=None,  # defaults to rc figure.facecolor
-                 edgecolor=None,  # defaults to rc figure.edgecolor
-                 linewidth=0.0,  # the default linewidth of the frame
-                 frameon=None,  # whether or not to draw the figure frame
-                 subplotpars=None,  # default to rc
-                 tight_layout=None,  # default to rc figure.autolayout
-                 ):
+            rect = l, b, w, h
+            fig = plt.figure()
+            fig.add_axes(rect)
+            fig.add_axes(rect, frameon=False, facecolor='g')
+            fig.add_axes(rect, polar=True)
+            ax = fig.add_axes(rect, projection='polar')
+            fig.delaxes(ax)
+            fig.add_axes(ax)
         """
-        *figsize*
-            w,h tuple in inches
 
-        *dpi*
-            Dots per inch
+        if not len(args) and 'rect' not in kwargs:
+            raise TypeError("add_axes() missing 1 required positional argument: 'rect'")
+        elif 'rect' in kwargs:
+            if len(args):
+                raise TypeError("add_axes() got multiple values for argument 'rect'")
+            args = (kwargs.pop('rect'), )
+        if len(args) != 1:
+            raise _api.nargs_error("add_axes", 1, len(args))
 
-        *facecolor*
-            The figure patch facecolor; defaults to rc ``figure.facecolor``
+        if isinstance(args[0], Axes):
+            a, = args
+            key = a._projection_init
+            if a.get_figure(root=False) is not self:
+                raise ValueError(
+                    "The Axes must have been created in the present figure")
+        else:
+            rect, = args
+            if not np.isfinite(rect).all():
+                raise ValueError(f'all entries in rect must be finite not {rect}')
+            projection_class, pkw = self._process_projection_requirements(**kwargs)
 
-        *edgecolor*
-            The figure patch edge color; defaults to rc ``figure.edgecolor``
+            # create the new Axes using the Axes class given
+            a = projection_class(self, rect, **pkw)
+            key = (projection_class, pkw)
 
-        *linewidth*
-            The figure patch edge linewidth; the default linewidth of the frame
+        return self._add_axes_internal(a, key)
 
-        *frameon*
-            If *False*, suppress drawing the figure frame
+    @_docstring.interpd
+    def add_subplot(self, *args, **kwargs):
+        """
+        Add an `~.axes.Axes` to the figure as part of a subplot arrangement.
+
+        Call signatures::
+
+           add_subplot(nrows, ncols, index, **kwargs)
+           add_subplot(pos, **kwargs)
+           add_subplot(ax)
+           add_subplot()
+
+        Parameters
+        ----------
+        *args : int, (int, int, *index*), or `.SubplotSpec`, default: (1, 1, 1)
+            The position of the subplot described by one of
+
+            - Three integers (*nrows*, *ncols*, *index*). The subplot will
+              take the *index* position on a grid with *nrows* rows and
+              *ncols* columns. *index* starts at 1 in the upper left corner
+              and increases to the right.  *index* can also be a two-tuple
+              specifying the (*first*, *last*) indices (1-based, and including
+              *last*) of the subplot, e.g., ``fig.add_subplot(3, 1, (1, 2))``
+              makes a subplot that spans the upper 2/3 of the figure.
+            - A 3-digit integer. The digits are interpreted as if given
+              separately as three single-digit integers, i.e.
+              ``fig.add_subplot(235)`` is the same as
+              ``fig.add_subplot(2, 3, 5)``. Note that this can only be used
+              if there are no more than 9 subplots.
+            - A `.SubplotSpec`.
+
+            In rare circumstances, `.add_subplot` may be called with a single
+            argument, a subplot Axes instance already created in the
+            present figure but not in the figure's list of Axes.
+
+        projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', \
+'polar', 'rectilinear', str}, optional
+            The projection type of the subplot (`~.axes.Axes`). *str* is the
+            name of a custom projection, see `~matplotlib.projections`. The
+            default None results in a 'rectilinear' projection.
+
+        polar : bool, default: False
+            If True, equivalent to projection='polar'.
+
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The `.axes.Axes` subclass that is instantiated.  This parameter
+            is incompatible with *projection* and *polar*.  See
+            :ref:`axisartist_users-guide-index` for examples.
+
+        sharex, sharey : `~matplotlib.axes.Axes`, optional
+            Share the x or y `~matplotlib.axis` with sharex and/or sharey.
+            The axis will have the same limits, ticks, and scale as the axis
+            of the shared Axes.
+
+        label : str
+            A label for the returned Axes.
 
-        *subplotpars*
-            A :class:`SubplotParams` instance, defaults to rc
+        Returns
+        -------
+        `~.axes.Axes`
 
-        *tight_layout*
-            If *False* use *subplotpars*; if *True* adjust subplot
-            parameters using :meth:`tight_layout` with default padding.
-            When providing a dict containing the keys `pad`, `w_pad`, `h_pad`
-            and `rect`, the default :meth:`tight_layout` paddings will be
-            overridden.
-            Defaults to rc ``figure.autolayout``.
-        """
-        Artist.__init__(self)
+            The Axes of the subplot. The returned Axes can actually be an
+            instance of a subclass, such as `.projections.polar.PolarAxes` for
+            polar projections.
 
-        self.callbacks = cbook.CallbackRegistry()
+        Other Parameters
+        ----------------
+        **kwargs
+            This method also takes the keyword arguments for the returned Axes
+            base class; except for the *figure* argument. The keyword arguments
+            for the rectilinear base class `~.axes.Axes` can be found in
+            the following table but there might also be other keyword
+            arguments if another projection is used.
 
-        if figsize is None:
-            figsize = rcParams['figure.figsize']
-        if dpi is None:
-            dpi = rcParams['figure.dpi']
-        if facecolor is None:
-            facecolor = rcParams['figure.facecolor']
-        if edgecolor is None:
-            edgecolor = rcParams['figure.edgecolor']
-        if frameon is None:
-            frameon = rcParams['figure.frameon']
-
-        self.dpi_scale_trans = Affine2D()
-        self.dpi = dpi
-        self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
-        self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
+            %(Axes:kwdoc)s
 
-        self.frameon = frameon
+        See Also
+        --------
+        .Figure.add_axes
+        .pyplot.subplot
+        .pyplot.axes
+        .Figure.subplots
+        .pyplot.subplots
 
-        self.transFigure = BboxTransformTo(self.bbox)
+        Examples
+        --------
+        ::
 
-        # the figurePatch name is deprecated
-        self.patch = self.figurePatch = Rectangle(
-            xy=(0, 0), width=1, height=1,
-            facecolor=facecolor, edgecolor=edgecolor,
-            linewidth=linewidth)
-        self._set_artist_props(self.patch)
-        self.patch.set_aa(False)
+            fig = plt.figure()
 
-        self._hold = rcParams['axes.hold']
-        self.canvas = None
-        self._suptitle = None
+            fig.add_subplot(231)
+            ax1 = fig.add_subplot(2, 3, 1)  # equivalent but more general
 
-        if subplotpars is None:
-            subplotpars = SubplotParams()
+            fig.add_subplot(232, frameon=False)  # subplot with no frame
+            fig.add_subplot(233, projection='polar')  # polar subplot
+            fig.add_subplot(234, sharex=ax1)  # subplot sharing x-axis with ax1
+            fig.add_subplot(235, facecolor="red")  # red subplot
 
-        self.subplotpars = subplotpars
-        self.set_tight_layout(tight_layout)
+            ax1.remove()  # delete ax1 from the figure
+            fig.add_subplot(ax1)  # add ax1 back to the figure
+        """
+        if 'figure' in kwargs:
+            # Axes itself allows for a 'figure' kwarg, but since we want to
+            # bind the created Axes to self, it is not allowed here.
+            raise _api.kwarg_error("add_subplot", "figure")
 
-        self._axstack = AxesStack()  # track all figure axes and current axes
-        self.clf()
-        self._cachedRenderer = None
+        if (len(args) == 1
+                and isinstance(args[0], mpl.axes._base._AxesBase)
+                and args[0].get_subplotspec()):
+            ax = args[0]
+            key = ax._projection_init
+            if ax.get_figure(root=False) is not self:
+                raise ValueError("The Axes must have been created in "
+                                 "the present figure")
+        else:
+            if not args:
+                args = (1, 1, 1)
+            # Normalize correct ijk values to (i, j, k) here so that
+            # add_subplot(211) == add_subplot(2, 1, 1).  Invalid values will
+            # trigger errors later (via SubplotSpec._from_subplot_args).
+            if (len(args) == 1 and isinstance(args[0], Integral)
+                    and 100 <= args[0] <= 999):
+                args = tuple(map(int, str(args[0])))
+            projection_class, pkw = self._process_projection_requirements(**kwargs)
+            ax = projection_class(self, *args, **pkw)
+            key = (projection_class, pkw)
+        return self._add_axes_internal(ax, key)
+
+    def _add_axes_internal(self, ax, key):
+        """Private helper for `add_axes` and `add_subplot`."""
+        self._axstack.add(ax)
+        if ax not in self._localaxes:
+            self._localaxes.append(ax)
+        self.sca(ax)
+        ax._remove_method = self.delaxes
+        # this is to support plt.subplot's re-selection logic
+        ax._projection_init = key
+        self.stale = True
+        ax.stale_callback = _stale_figure_callback
+        return ax
+
+    def subplots(self, nrows=1, ncols=1, *, sharex=False, sharey=False,
+                 squeeze=True, width_ratios=None, height_ratios=None,
+                 subplot_kw=None, gridspec_kw=None):
+        """
+        Add a set of subplots to this figure.
+
+        This utility wrapper makes it convenient to create common layouts of
+        subplots in a single call.
+
+        Parameters
+        ----------
+        nrows, ncols : int, default: 1
+            Number of rows/columns of the subplot grid.
+
+        sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False
+            Controls sharing of x-axis (*sharex*) or y-axis (*sharey*):
+
+            - True or 'all': x- or y-axis will be shared among all subplots.
+            - False or 'none': each subplot x- or y-axis will be independent.
+            - 'row': each subplot row will share an x- or y-axis.
+            - 'col': each subplot column will share an x- or y-axis.
+
+            When subplots have a shared x-axis along a column, only the x tick
+            labels of the bottom subplot are created. Similarly, when subplots
+            have a shared y-axis along a row, only the y tick labels of the
+            first column subplot are created. To later turn other subplots'
+            ticklabels on, use `~matplotlib.axes.Axes.tick_params`.
+
+            When subplots have a shared axis that has units, calling
+            `.Axis.set_units` will update each axis with the new units.
+
+            Note that it is not possible to unshare axes.
+
+        squeeze : bool, default: True
+            - If True, extra dimensions are squeezed out from the returned
+              array of Axes:
+
+              - if only one subplot is constructed (nrows=ncols=1), the
+                resulting single Axes object is returned as a scalar.
+              - for Nx1 or 1xM subplots, the returned object is a 1D numpy
+                object array of Axes objects.
+              - for NxM, subplots with N>1 and M>1 are returned as a 2D array.
+
+            - If False, no squeezing at all is done: the returned Axes object
+              is always a 2D array containing Axes instances, even if it ends
+              up being 1x1.
+
+        width_ratios : array-like of length *ncols*, optional
+            Defines the relative widths of the columns. Each column gets a
+            relative width of ``width_ratios[i] / sum(width_ratios)``.
+            If not given, all columns will have the same width.  Equivalent
+            to ``gridspec_kw={'width_ratios': [...]}``.
+
+        height_ratios : array-like of length *nrows*, optional
+            Defines the relative heights of the rows. Each row gets a
+            relative height of ``height_ratios[i] / sum(height_ratios)``.
+            If not given, all rows will have the same height. Equivalent
+            to ``gridspec_kw={'height_ratios': [...]}``.
+
+        subplot_kw : dict, optional
+            Dict with keywords passed to the `.Figure.add_subplot` call used to
+            create each subplot.
+
+        gridspec_kw : dict, optional
+            Dict with keywords passed to the
+            `~matplotlib.gridspec.GridSpec` constructor used to create
+            the grid the subplots are placed on.
 
-    # TODO: I'd like to dynamically add the _repr_html_ method
-    # to the figure in the right context, but then IPython doesn't
-    # use it, for some reason.
+        Returns
+        -------
+        `~.axes.Axes` or array of Axes
+            Either a single `~matplotlib.axes.Axes` object or an array of Axes
+            objects if more than one subplot was created. The dimensions of the
+            resulting array can be controlled with the *squeeze* keyword, see
+            above.
 
-    def _repr_html_(self):
-        # We can't use "isinstance" here, because then we'd end up importing
-        # webagg unconditiionally.
-        if (self.canvas is not None and
-            'WebAgg' in self.canvas.__class__.__name__):
-            from matplotlib.backends import backend_webagg
-            return backend_webagg.ipython_inline_display(self)
+        See Also
+        --------
+        .pyplot.subplots
+        .Figure.add_subplot
+        .pyplot.subplot
 
-    def show(self, warn=True):
-        """
-        If using a GUI backend with pyplot, display the figure window.
+        Examples
+        --------
+        ::
 
-        If the figure was not created using
-        :func:`~matplotlib.pyplot.figure`, it will lack a
-        :class:`~matplotlib.backend_bases.FigureManagerBase`, and
-        will raise an AttributeError.
+            # First create some toy data:
+            x = np.linspace(0, 2*np.pi, 400)
+            y = np.sin(x**2)
+
+            # Create a figure
+            fig = plt.figure()
+
+            # Create a subplot
+            ax = fig.subplots()
+            ax.plot(x, y)
+            ax.set_title('Simple plot')
+
+            # Create two subplots and unpack the output array immediately
+            ax1, ax2 = fig.subplots(1, 2, sharey=True)
+            ax1.plot(x, y)
+            ax1.set_title('Sharing Y axis')
+            ax2.scatter(x, y)
+
+            # Create four polar Axes and access them through the returned array
+            axes = fig.subplots(2, 2, subplot_kw=dict(projection='polar'))
+            axes[0, 0].plot(x, y)
+            axes[1, 1].scatter(x, y)
+
+            # Share an X-axis with each column of subplots
+            fig.subplots(2, 2, sharex='col')
+
+            # Share a Y-axis with each row of subplots
+            fig.subplots(2, 2, sharey='row')
+
+            # Share both X- and Y-axes with all subplots
+            fig.subplots(2, 2, sharex='all', sharey='all')
+
+            # Note that this is the same as
+            fig.subplots(2, 2, sharex=True, sharey=True)
+        """
+        gridspec_kw = dict(gridspec_kw or {})
+        if height_ratios is not None:
+            if 'height_ratios' in gridspec_kw:
+                raise ValueError("'height_ratios' must not be defined both as "
+                                 "parameter and as key in 'gridspec_kw'")
+            gridspec_kw['height_ratios'] = height_ratios
+        if width_ratios is not None:
+            if 'width_ratios' in gridspec_kw:
+                raise ValueError("'width_ratios' must not be defined both as "
+                                 "parameter and as key in 'gridspec_kw'")
+            gridspec_kw['width_ratios'] = width_ratios
+
+        gs = self.add_gridspec(nrows, ncols, figure=self, **gridspec_kw)
+        axs = gs.subplots(sharex=sharex, sharey=sharey, squeeze=squeeze,
+                          subplot_kw=subplot_kw)
+        return axs
+
+    def delaxes(self, ax):
+        """
+        Remove the `~.axes.Axes` *ax* from the figure; update the current Axes.
+        """
+        self._remove_axes(ax, owners=[self._axstack, self._localaxes])
+
+    def _remove_axes(self, ax, owners):
+        """
+        Common helper for removal of standard Axes (via delaxes) and of child Axes.
+
+        Parameters
+        ----------
+        ax : `~.AxesBase`
+            The Axes to remove.
+        owners
+            List of objects (list or _AxesStack) "owning" the Axes, from which the Axes
+            will be remove()d.
+        """
+        for owner in owners:
+            owner.remove(ax)
+
+        self._axobservers.process("_axes_change_event", self)
+        self.stale = True
+        self._root_figure.canvas.release_mouse(ax)
+
+        for name in ax._axis_names:  # Break link between any shared Axes
+            grouper = ax._shared_axes[name]
+            siblings = [other for other in grouper.get_siblings(ax) if other is not ax]
+            if not siblings:  # Axes was not shared along this axis; we're done.
+                continue
+            grouper.remove(ax)
+            # Formatters and locators may previously have been associated with the now
+            # removed axis.  Update them to point to an axis still there (we can pick
+            # any of them, and use the first sibling).
+            remaining_axis = siblings[0]._axis_map[name]
+            remaining_axis.get_major_formatter().set_axis(remaining_axis)
+            remaining_axis.get_major_locator().set_axis(remaining_axis)
+            remaining_axis.get_minor_formatter().set_axis(remaining_axis)
+            remaining_axis.get_minor_locator().set_axis(remaining_axis)
+
+        ax._twinned_axes.remove(ax)  # Break link between any twinned Axes.
+
+    def clear(self, keep_observers=False):
+        """
+        Clear the figure.
 
-        For non-GUI backends, this does nothing, in which case
-        a warning will be issued if *warn* is True (default).
+        Parameters
+        ----------
+        keep_observers : bool, default: False
+            Set *keep_observers* to True if, for example,
+            a gui widget is tracking the Axes in the figure.
         """
-        try:
-            manager = getattr(self.canvas, 'manager')
-        except AttributeError as err:
-            raise AttributeError("%s\n"
-                                 "Figure.show works only "
-                                 "for figures managed by pyplot, normally "
-                                 "created by pyplot.figure()." % err)
-
-        if manager is not None:
-            try:
-                manager.show()
-                return
-            except NonGuiException:
-                pass
-        if warn:
-            import warnings
-            warnings.warn(
-                "matplotlib is currently using a non-GUI backend, "
-                "so cannot show the figure")
-
-    def _get_axes(self):
-        return self._axstack.as_list()
+        self.suppressComposite = None
 
-    axes = property(fget=_get_axes, doc="Read-only: list of axes in Figure")
+        # first clear the Axes in any subfigures
+        for subfig in self.subfigs:
+            subfig.clear(keep_observers=keep_observers)
+        self.subfigs = []
 
-    def _get_dpi(self):
-        return self._dpi
+        for ax in tuple(self.axes):  # Iterate over the copy.
+            ax.clear()
+            self.delaxes(ax)  # Remove ax from self._axstack.
 
-    def _set_dpi(self, dpi):
-        self._dpi = dpi
-        self.dpi_scale_trans.clear().scale(dpi, dpi)
-        self.callbacks.process('dpi_changed', self)
-    dpi = property(_get_dpi, _set_dpi)
+        self.artists = []
+        self.lines = []
+        self.patches = []
+        self.texts = []
+        self.images = []
+        self.legends = []
+        self.subplotpars.reset()
+        if not keep_observers:
+            self._axobservers = cbook.CallbackRegistry()
+        self._suptitle = None
+        self._supxlabel = None
+        self._supylabel = None
 
-    def get_tight_layout(self):
-        """
-        Return the Boolean flag, True to use :meth`tight_layout` when drawing.
-        """
-        return self._tight
+        self.stale = True
 
-    def set_tight_layout(self, tight):
+    # synonym for `clear`.
+    def clf(self, keep_observers=False):
         """
-        Set whether :meth:`tight_layout` is used upon drawing.
-        If None, the rcParams['figure.autolayout'] value will be set.
+        [*Discouraged*] Alias for the `clear()` method.
 
-        When providing a dict containing the keys `pad`, `w_pad`, `h_pad`
-        and `rect`, the default :meth:`tight_layout` paddings will be
-        overridden.
+        .. admonition:: Discouraged
 
-        ACCEPTS: [True | False | dict | None ]
+            The use of ``clf()`` is discouraged. Use ``clear()`` instead.
+
+        Parameters
+        ----------
+        keep_observers : bool, default: False
+            Set *keep_observers* to True if, for example,
+            a gui widget is tracking the Axes in the figure.
         """
-        if tight is None:
-            tight = rcParams['figure.autolayout']
-        self._tight = bool(tight)
-        self._tight_parameters = tight if isinstance(tight, dict) else {}
+        return self.clear(keep_observers=keep_observers)
 
-    def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
+    # Note: the docstring below is modified with replace for the pyplot
+    # version of this function because the method name differs (plt.figlegend)
+    # the replacements are:
+    #    " legend(" -> " figlegend(" for the signatures
+    #    "fig.legend(" -> "plt.figlegend" for the code examples
+    #    "ax.plot" -> "plt.plot" for consistency in using pyplot when able
+    @_docstring.interpd
+    def legend(self, *args, **kwargs):
         """
-        Date ticklabels often overlap, so it is useful to rotate them
-        and right align them.  Also, a common use case is a number of
-        subplots with shared xaxes where the x-axis is date data.  The
-        ticklabels are often long, and it helps to rotate them on the
-        bottom subplot and turn them off on other subplots, as well as
-        turn off xlabels.
+        Place a legend on the figure.
 
-        *bottom*
-            The bottom of the subplots for :meth:`subplots_adjust`
+        Call signatures::
 
-        *rotation*
-            The rotation of the xtick labels
+            legend()
+            legend(handles, labels)
+            legend(handles=handles)
+            legend(labels)
 
-        *ha*
-            The horizontal alignment of the xticklabels
-        """
-        allsubplots = np.alltrue([hasattr(ax, 'is_last_row') for ax
-                                  in self.axes])
-        if len(self.axes) == 1:
-            for label in self.axes[0].get_xticklabels():
-                label.set_ha(ha)
-                label.set_rotation(rotation)
-        else:
-            if allsubplots:
-                for ax in self.get_axes():
-                    if ax.is_last_row():
-                        for label in ax.get_xticklabels():
-                            label.set_ha(ha)
-                            label.set_rotation(rotation)
-                    else:
-                        for label in ax.get_xticklabels():
-                            label.set_visible(False)
-                        ax.set_xlabel('')
+        The call signatures correspond to the following different ways to use
+        this method:
 
-        if allsubplots:
-            self.subplots_adjust(bottom=bottom)
+        **1. Automatic detection of elements to be shown in the legend**
 
-    def get_children(self):
-        'get a list of artists contained in the figure'
-        children = [self.patch]
-        children.extend(self.artists)
-        children.extend(self.axes)
-        children.extend(self.lines)
-        children.extend(self.patches)
-        children.extend(self.texts)
-        children.extend(self.images)
-        children.extend(self.legends)
-        return children
+        The elements to be added to the legend are automatically determined,
+        when you do not pass in any extra arguments.
 
-    def contains(self, mouseevent):
-        """
-        Test whether the mouse event occurred on the figure.
+        In this case, the labels are taken from the artist. You can specify
+        them either at artist creation or by calling the
+        :meth:`~.Artist.set_label` method on the artist::
 
-        Returns True,{}
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-        # inside = mouseevent.x >= 0 and mouseevent.y >= 0
-        inside = self.bbox.contains(mouseevent.x, mouseevent.y)
+            ax.plot([1, 2, 3], label='Inline label')
+            fig.legend()
 
-        return inside, {}
+        or::
 
-    def get_window_extent(self, *args, **kwargs):
-        'get the figure bounding box in display space; kwargs are void'
-        return self.bbox
+            line, = ax.plot([1, 2, 3])
+            line.set_label('Label via method')
+            fig.legend()
 
-    def suptitle(self, t, **kwargs):
-        """
-        Add a centered title to the figure.
+        Specific lines can be excluded from the automatic legend element
+        selection by defining a label starting with an underscore.
+        This is default for all artists, so calling `.Figure.legend` without
+        any arguments and without setting the labels manually will result in
+        no legend being drawn.
 
-        kwargs are :class:`matplotlib.text.Text` properties.  Using figure
-        coordinates, the defaults are:
 
-          *x* : 0.5
-            The x location of the text in figure coords
+        **2. Explicitly listing the artists and labels in the legend**
 
-          *y* : 0.98
-            The y location of the text in figure coords
+        For full control of which artists have a legend entry, it is possible
+        to pass an iterable of legend artists followed by an iterable of
+        legend labels respectively::
 
-          *horizontalalignment* : 'center'
-            The horizontal alignment of the text
+            fig.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
 
-          *verticalalignment* : 'top'
-            The vertical alignment of the text
 
-        A :class:`matplotlib.text.Text` instance is returned.
+        **3. Explicitly listing the artists in the legend**
 
-        Example::
+        This is similar to 2, but the labels are taken from the artists'
+        label properties. Example::
 
-          fig.suptitle('this is the figure title', fontsize=12)
-        """
-        x = kwargs.pop('x', 0.5)
-        y = kwargs.pop('y', 0.98)
+            line1, = ax1.plot([1, 2, 3], label='label1')
+            line2, = ax2.plot([1, 2, 3], label='label2')
+            fig.legend(handles=[line1, line2])
 
-        if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs):
-            kwargs['horizontalalignment'] = 'center'
-        if ('verticalalignment' not in kwargs) and ('va' not in kwargs):
-            kwargs['verticalalignment'] = 'top'
 
-        if 'fontsize' not in kwargs:
-            kwargs['fontsize'] = rcParams['figure.titlesize']
-        if 'fontweight' not in kwargs:
-            kwargs['fontweight'] = rcParams['figure.titleweight']
+        **4. Labeling existing plot elements**
 
-        sup = self.text(x, y, t, **kwargs)
-        if self._suptitle is not None:
-            self._suptitle.set_text(t)
-            self._suptitle.set_position((x, y))
-            self._suptitle.update_from(sup)
-            sup.remove()
-        else:
-            self._suptitle = sup
-        return self._suptitle
+        .. admonition:: Discouraged
 
-    def set_canvas(self, canvas):
-        """
-        Set the canvas the contains the figure
+            This call signature is discouraged, because the relation between
+            plot elements and labels is only implicit by their order and can
+            easily be mixed up.
 
-        ACCEPTS: a FigureCanvas instance
-        """
-        self.canvas = canvas
+        To make a legend for all artists on all Axes, call this function with
+        an iterable of strings, one for each legend item. For example::
 
-    def hold(self, b=None):
-        """
-        Set the hold state.  If hold is None (default), toggle the
-        hold state.  Else set the hold state to boolean value b.
+            fig, (ax1, ax2) = plt.subplots(1, 2)
+            ax1.plot([1, 3, 5], color='blue')
+            ax2.plot([2, 4, 6], color='red')
+            fig.legend(['the blues', 'the reds'])
+
+
+        Parameters
+        ----------
+        handles : list of `.Artist`, optional
+            A list of Artists (lines, patches) to be added to the legend.
+            Use this together with *labels*, if you need full control on what
+            is shown in the legend and the automatic mechanism described above
+            is not sufficient.
+
+            The length of handles and labels should be the same in this
+            case. If they are not, they are truncated to the smaller length.
+
+        labels : list of str, optional
+            A list of labels to show next to the artists.
+            Use this together with *handles*, if you need full control on what
+            is shown in the legend and the automatic mechanism described above
+            is not sufficient.
+
+        Returns
+        -------
+        `~matplotlib.legend.Legend`
 
-        e.g.::
+        Other Parameters
+        ----------------
+        %(_legend_kw_figure)s
 
-            hold()      # toggle hold
-            hold(True)  # hold is on
-            hold(False) # hold is off
+        See Also
+        --------
+        .Axes.legend
+
+        Notes
+        -----
+        Some artists are not supported by this function.  See
+        :ref:`legend_guide` for details.
         """
-        if b is None:
-            self._hold = not self._hold
-        else:
-            self._hold = b
-
-    def figimage(self, X,
-                 xo=0,
-                 yo=0,
-                 alpha=None,
-                 norm=None,
-                 cmap=None,
-                 vmin=None,
-                 vmax=None,
-                 origin=None,
-                 **kwargs):
+
+        handles, labels, kwargs = mlegend._parse_legend_args(self.axes, *args, **kwargs)
+        # explicitly set the bbox transform if the user hasn't.
+        kwargs.setdefault("bbox_transform", self.transSubfigure)
+        l = mlegend.Legend(self, handles, labels, **kwargs)
+        self.legends.append(l)
+        l._remove_method = self.legends.remove
+        self.stale = True
+        return l
+
+    @_docstring.interpd
+    def text(self, x, y, s, fontdict=None, **kwargs):
         """
-        Adds a non-resampled image to the figure.
+        Add text to figure.
 
-        call signatures::
+        Parameters
+        ----------
+        x, y : float
+            The position to place the text. By default, this is in figure
+            coordinates, floats in [0, 1]. The coordinate system can be changed
+            using the *transform* keyword.
 
-          figimage(X, **kwargs)
+        s : str
+            The text string.
 
-        adds a non-resampled array *X* to the figure.
+        fontdict : dict, optional
+            A dictionary to override the default text properties. If not given,
+            the defaults are determined by :rc:`font.*`. Properties passed as
+            *kwargs* override the corresponding ones given in *fontdict*.
 
-        ::
+        Returns
+        -------
+        `~.text.Text`
+
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.text.Text` properties
+            Other miscellaneous text parameters.
 
-          figimage(X, xo, yo)
+            %(Text:kwdoc)s
 
-        with pixel offsets *xo*, *yo*,
+        See Also
+        --------
+        .Axes.text
+        .pyplot.text
+        """
+        effective_kwargs = {
+            'transform': self.transSubfigure,
+            **(fontdict if fontdict is not None else {}),
+            **kwargs,
+        }
+        text = Text(x=x, y=y, text=s, **effective_kwargs)
+        text.set_figure(self)
+        text.stale_callback = _stale_figure_callback
+
+        self.texts.append(text)
+        text._remove_method = self.texts.remove
+        self.stale = True
+        return text
+
+    @_docstring.interpd
+    def colorbar(
+            self, mappable, cax=None, ax=None, use_gridspec=True, **kwargs):
+        """
+        Add a colorbar to a plot.
+
+        Parameters
+        ----------
+        mappable
+            The `matplotlib.colorizer.ColorizingArtist` (i.e., `.AxesImage`,
+            `.ContourSet`, etc.) described by this colorbar.  This argument is
+            mandatory for the `.Figure.colorbar` method but optional for the
+            `.pyplot.colorbar` function, which sets the default to the current
+            image.
+
+            Note that one can create a `.colorizer.ColorizingArtist` "on-the-fly"
+            to generate colorbars not attached to a previously drawn artist, e.g.
+            ::
+
+                cr = colorizer.Colorizer(norm=norm, cmap=cmap)
+                fig.colorbar(colorizer.ColorizingArtist(cr), ax=ax)
+
+        cax : `~matplotlib.axes.Axes`, optional
+            Axes into which the colorbar will be drawn.  If `None`, then a new
+            Axes is created and the space for it will be stolen from the Axes(s)
+            specified in *ax*.
+
+        ax : `~matplotlib.axes.Axes` or iterable or `numpy.ndarray` of Axes, optional
+            The one or more parent Axes from which space for a new colorbar Axes
+            will be stolen. This parameter is only used if *cax* is not set.
+
+            Defaults to the Axes that contains the mappable used to create the
+            colorbar.
+
+        use_gridspec : bool, optional
+            If *cax* is ``None``, a new *cax* is created as an instance of
+            Axes.  If *ax* is positioned with a subplotspec and *use_gridspec*
+            is ``True``, then *cax* is also positioned with a subplotspec.
 
-        *X* must be a float array:
+        Returns
+        -------
+        colorbar : `~matplotlib.colorbar.Colorbar`
 
-        * If *X* is MxN, assume luminance (grayscale)
-        * If *X* is MxNx3, assume RGB
-        * If *X* is MxNx4, assume RGBA
+        Other Parameters
+        ----------------
+        %(_make_axes_kw_doc)s
+        %(_colormap_kw_doc)s
 
-        Optional keyword arguments:
+        Notes
+        -----
+        If *mappable* is a `~.contour.ContourSet`, its *extend* kwarg is
+        included automatically.
 
-          =========   =========================================================
-          Keyword     Description
-          =========   =========================================================
-          xo or yo    An integer, the *x* and *y* image offset in pixels
-          cmap        a :class:`matplotlib.colors.Colormap` instance, e.g.,
-                      cm.jet. If *None*, default to the rc ``image.cmap``
-                      value
-          norm        a :class:`matplotlib.colors.Normalize` instance. The
-                      default is normalization().  This scales luminance -> 0-1
-          vmin|vmax   are used to scale a luminance image to 0-1.  If either
-                      is *None*, the min and max of the luminance values will
-                      be used.  Note if you pass a norm instance, the settings
-                      for *vmin* and *vmax* will be ignored.
-          alpha       the alpha blending value, default is *None*
-          origin      [ 'upper' | 'lower' ] Indicates where the [0,0] index of
-                      the array is in the upper left or lower left corner of
-                      the axes. Defaults to the rc image.origin value
-          =========   =========================================================
+        The *shrink* kwarg provides a simple way to scale the colorbar with
+        respect to the Axes. Note that if *cax* is specified, it determines the
+        size of the colorbar, and *shrink* and *aspect* are ignored.
 
-        figimage complements the axes image
-        (:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled
-        to fit the current axes.  If you want a resampled image to
-        fill the entire figure, you can define an
-        :class:`~matplotlib.axes.Axes` with size [0,1,0,1].
+        For more precise control, you can manually specify the positions of the
+        axes objects in which the mappable and the colorbar are drawn.  In this
+        case, do not use any of the Axes properties kwargs.
 
-        An :class:`matplotlib.image.FigureImage` instance is returned.
+        It is known that some vector graphics viewers (svg and pdf) render
+        white gaps between segments of the colorbar.  This is due to bugs in
+        the viewers, not Matplotlib.  As a workaround, the colorbar can be
+        rendered with overlapping segments::
 
-        .. plot:: mpl_examples/pylab_examples/figimage_demo.py
+            cbar = colorbar()
+            cbar.solids.set_edgecolor("face")
+            draw()
 
+        However, this has negative consequences in other circumstances, e.g.
+        with semi-transparent images (alpha < 1) and colorbar extensions;
+        therefore, this workaround is not used by default (see issue #1188).
 
-        Additional kwargs are Artist kwargs passed on to
-        :class:`~matplotlib.image.FigureImage`
         """
 
-        if not self._hold:
-            self.clf()
+        if ax is None:
+            ax = getattr(mappable, "axes", None)
 
-        im = FigureImage(self, cmap, norm, xo, yo, origin, **kwargs)
-        im.set_array(X)
-        im.set_alpha(alpha)
-        if norm is None:
-            im.set_clim(vmin, vmax)
-        self.images.append(im)
-        im._remove_method = lambda h: self.images.remove(h)
-        return im
+        if cax is None:
+            if ax is None:
+                raise ValueError(
+                    'Unable to determine Axes to steal space for Colorbar. '
+                    'Either provide the *cax* argument to use as the Axes for '
+                    'the Colorbar, provide the *ax* argument to steal space '
+                    'from it, or add *mappable* to an Axes.')
+            fig = (  # Figure of first Axes; logic copied from make_axes.
+                [*ax.flat] if isinstance(ax, np.ndarray)
+                else [*ax] if np.iterable(ax)
+                else [ax])[0].get_figure(root=False)
+            current_ax = fig.gca()
+            if (fig.get_layout_engine() is not None and
+                    not fig.get_layout_engine().colorbar_gridspec):
+                use_gridspec = False
+            if (use_gridspec
+                    and isinstance(ax, mpl.axes._base._AxesBase)
+                    and ax.get_subplotspec()):
+                cax, kwargs = cbar.make_axes_gridspec(ax, **kwargs)
+            else:
+                cax, kwargs = cbar.make_axes(ax, **kwargs)
+            # make_axes calls add_{axes,subplot} which changes gca; undo that.
+            fig.sca(current_ax)
+            cax.grid(visible=False, which='both', axis='both')
+
+        if (hasattr(mappable, "get_figure") and
+                (mappable_host_fig := mappable.get_figure(root=True)) is not None):
+            # Warn in case of mismatch
+            if mappable_host_fig is not self._root_figure:
+                _api.warn_external(
+                        f'Adding colorbar to a different Figure '
+                        f'{repr(mappable_host_fig)} than '
+                        f'{repr(self._root_figure)} which '
+                        f'fig.colorbar is called on.')
+
+        NON_COLORBAR_KEYS = [  # remove kws that cannot be passed to Colorbar
+            'fraction', 'pad', 'shrink', 'aspect', 'anchor', 'panchor']
+        cb = cbar.Colorbar(cax, mappable, **{
+            k: v for k, v in kwargs.items() if k not in NON_COLORBAR_KEYS})
+        cax.get_figure(root=False).stale = True
+        return cb
+
+    def subplots_adjust(self, left=None, bottom=None, right=None, top=None,
+                        wspace=None, hspace=None):
+        """
+        Adjust the subplot layout parameters.
+
+        Unset parameters are left unmodified; initial values are given by
+        :rc:`figure.subplot.[name]`.
+
+        .. plot:: _embedded_plots/figure_subplots_adjust.py
+
+        Parameters
+        ----------
+        left : float, optional
+            The position of the left edge of the subplots,
+            as a fraction of the figure width.
+        right : float, optional
+            The position of the right edge of the subplots,
+            as a fraction of the figure width.
+        bottom : float, optional
+            The position of the bottom edge of the subplots,
+            as a fraction of the figure height.
+        top : float, optional
+            The position of the top edge of the subplots,
+            as a fraction of the figure height.
+        wspace : float, optional
+            The width of the padding between subplots,
+            as a fraction of the average Axes width.
+        hspace : float, optional
+            The height of the padding between subplots,
+            as a fraction of the average Axes height.
+        """
+        if (self.get_layout_engine() is not None and
+                not self.get_layout_engine().adjust_compatible):
+            _api.warn_external(
+                "This figure was using a layout engine that is "
+                "incompatible with subplots_adjust and/or tight_layout; "
+                "not calling subplots_adjust.")
+            return
+        self.subplotpars.update(left, bottom, right, top, wspace, hspace)
+        for ax in self.axes:
+            if ax.get_subplotspec() is not None:
+                ax._set_position(ax.get_subplotspec().get_position(self))
+        self.stale = True
 
-    def set_size_inches(self, *args, **kwargs):
+    def align_xlabels(self, axs=None):
         """
-        set_size_inches(w,h, forward=False)
+        Align the xlabels of subplots in the same subplot row if label
+        alignment is being done automatically (i.e. the label position is
+        not manually set).
 
-        Set the figure size in inches (1in == 2.54cm)
+        Alignment persists for draw events after this is called.
 
-        Usage::
+        If a label is on the bottom, it is aligned with labels on Axes that
+        also have their label on the bottom and that have the same
+        bottom-most subplot row.  If the label is on the top,
+        it is aligned with labels on Axes with the same top-most row.
 
-             fig.set_size_inches(w,h)  # OR
-             fig.set_size_inches((w,h) )
+        Parameters
+        ----------
+        axs : list of `~matplotlib.axes.Axes`
+            Optional list of (or `~numpy.ndarray`) `~matplotlib.axes.Axes`
+            to align the xlabels.
+            Default is to align all Axes on the figure.
 
-        optional kwarg *forward=True* will cause the canvas size to be
-        automatically updated; e.g., you can resize the figure window
-        from the shell
+        See Also
+        --------
+        matplotlib.figure.Figure.align_ylabels
+        matplotlib.figure.Figure.align_titles
+        matplotlib.figure.Figure.align_labels
 
-        ACCEPTS: a w,h tuple with w,h in inches
+        Notes
+        -----
+        This assumes that all Axes in ``axs`` are from the same `.GridSpec`,
+        so that their `.SubplotSpec` positions correspond to figure positions.
+
+        Examples
+        --------
+        Example with rotated xtick labels::
+
+            fig, axs = plt.subplots(1, 2)
+            axs[0].tick_params(axis='x', rotation=55)
+            axs[0].set_xlabel('XLabel 0')
+            axs[1].set_xlabel('XLabel 1')
+            fig.align_xlabels()
+        """
+        if axs is None:
+            axs = self.axes
+        axs = [ax for ax in np.ravel(axs) if ax.get_subplotspec() is not None]
+        for ax in axs:
+            _log.debug(' Working on: %s', ax.get_xlabel())
+            rowspan = ax.get_subplotspec().rowspan
+            pos = ax.xaxis.get_label_position()  # top or bottom
+            # Search through other Axes for label positions that are same as
+            # this one and that share the appropriate row number.
+            # Add to a grouper associated with each Axes of siblings.
+            # This list is inspected in `axis.draw` by
+            # `axis._update_label_position`.
+            for axc in axs:
+                if axc.xaxis.get_label_position() == pos:
+                    rowspanc = axc.get_subplotspec().rowspan
+                    if (pos == 'top' and rowspan.start == rowspanc.start or
+                            pos == 'bottom' and rowspan.stop == rowspanc.stop):
+                        # grouper for groups of xlabels to align
+                        self._align_label_groups['x'].join(ax, axc)
+
+    def align_ylabels(self, axs=None):
+        """
+        Align the ylabels of subplots in the same subplot column if label
+        alignment is being done automatically (i.e. the label position is
+        not manually set).
+
+        Alignment persists for draw events after this is called.
+
+        If a label is on the left, it is aligned with labels on Axes that
+        also have their label on the left and that have the same
+        left-most subplot column.  If the label is on the right,
+        it is aligned with labels on Axes with the same right-most column.
+
+        Parameters
+        ----------
+        axs : list of `~matplotlib.axes.Axes`
+            Optional list (or `~numpy.ndarray`) of `~matplotlib.axes.Axes`
+            to align the ylabels.
+            Default is to align all Axes on the figure.
 
         See Also
         --------
+        matplotlib.figure.Figure.align_xlabels
+        matplotlib.figure.Figure.align_titles
+        matplotlib.figure.Figure.align_labels
 
-        matplotlib.Figure.get_size_inches
-        """
+        Notes
+        -----
+        This assumes that all Axes in ``axs`` are from the same `.GridSpec`,
+        so that their `.SubplotSpec` positions correspond to figure positions.
 
-        forward = kwargs.get('forward', False)
-        if len(args) == 1:
-            w, h = args[0]
-        else:
-            w, h = args
+        Examples
+        --------
+        Example with large yticks labels::
+
+            fig, axs = plt.subplots(2, 1)
+            axs[0].plot(np.arange(0, 1000, 50))
+            axs[0].set_ylabel('YLabel 0')
+            axs[1].set_ylabel('YLabel 1')
+            fig.align_ylabels()
+        """
+        if axs is None:
+            axs = self.axes
+        axs = [ax for ax in np.ravel(axs) if ax.get_subplotspec() is not None]
+        for ax in axs:
+            _log.debug(' Working on: %s', ax.get_ylabel())
+            colspan = ax.get_subplotspec().colspan
+            pos = ax.yaxis.get_label_position()  # left or right
+            # Search through other Axes for label positions that are same as
+            # this one and that share the appropriate column number.
+            # Add to a list associated with each Axes of siblings.
+            # This list is inspected in `axis.draw` by
+            # `axis._update_label_position`.
+            for axc in axs:
+                if axc.yaxis.get_label_position() == pos:
+                    colspanc = axc.get_subplotspec().colspan
+                    if (pos == 'left' and colspan.start == colspanc.start or
+                            pos == 'right' and colspan.stop == colspanc.stop):
+                        # grouper for groups of ylabels to align
+                        self._align_label_groups['y'].join(ax, axc)
+
+    def align_titles(self, axs=None):
+        """
+        Align the titles of subplots in the same subplot row if title
+        alignment is being done automatically (i.e. the title position is
+        not manually set).
+
+        Alignment persists for draw events after this is called.
+
+        Parameters
+        ----------
+        axs : list of `~matplotlib.axes.Axes`
+            Optional list of (or ndarray) `~matplotlib.axes.Axes`
+            to align the titles.
+            Default is to align all Axes on the figure.
 
-        dpival = self.dpi
-        self.bbox_inches.p1 = w, h
+        See Also
+        --------
+        matplotlib.figure.Figure.align_xlabels
+        matplotlib.figure.Figure.align_ylabels
+        matplotlib.figure.Figure.align_labels
 
-        if forward:
-            dpival = self.dpi
-            canvasw = w * dpival
-            canvash = h * dpival
-            manager = getattr(self.canvas, 'manager', None)
-            if manager is not None:
-                manager.resize(int(canvasw), int(canvash))
+        Notes
+        -----
+        This assumes that all Axes in ``axs`` are from the same `.GridSpec`,
+        so that their `.SubplotSpec` positions correspond to figure positions.
 
-    def get_size_inches(self):
+        Examples
+        --------
+        Example with titles::
+
+            fig, axs = plt.subplots(1, 2)
+            axs[0].set_aspect('equal')
+            axs[0].set_title('Title 0')
+            axs[1].set_title('Title 1')
+            fig.align_titles()
+        """
+        if axs is None:
+            axs = self.axes
+        axs = [ax for ax in np.ravel(axs) if ax.get_subplotspec() is not None]
+        for ax in axs:
+            _log.debug(' Working on: %s', ax.get_title())
+            rowspan = ax.get_subplotspec().rowspan
+            for axc in axs:
+                rowspanc = axc.get_subplotspec().rowspan
+                if (rowspan.start == rowspanc.start):
+                    self._align_label_groups['title'].join(ax, axc)
+
+    def align_labels(self, axs=None):
+        """
+        Align the xlabels and ylabels of subplots with the same subplots
+        row or column (respectively) if label alignment is being
+        done automatically (i.e. the label position is not manually set).
+
+        Alignment persists for draw events after this is called.
+
+        Parameters
+        ----------
+        axs : list of `~matplotlib.axes.Axes`
+            Optional list (or `~numpy.ndarray`) of `~matplotlib.axes.Axes`
+            to align the labels.
+            Default is to align all Axes on the figure.
+
+        See Also
+        --------
+        matplotlib.figure.Figure.align_xlabels
+        matplotlib.figure.Figure.align_ylabels
+        matplotlib.figure.Figure.align_titles
+
+        Notes
+        -----
+        This assumes that all Axes in ``axs`` are from the same `.GridSpec`,
+        so that their `.SubplotSpec` positions correspond to figure positions.
         """
-        Returns the current size of the figure in inches (1in == 2.54cm)
-        as an numpy array.
+        self.align_xlabels(axs=axs)
+        self.align_ylabels(axs=axs)
+
+    def add_gridspec(self, nrows=1, ncols=1, **kwargs):
+        """
+        Low-level API for creating a `.GridSpec` that has this figure as a parent.
+
+        This is a low-level API, allowing you to create a gridspec and
+        subsequently add subplots based on the gridspec. Most users do
+        not need that freedom and should use the higher-level methods
+        `~.Figure.subplots` or `~.Figure.subplot_mosaic`.
+
+        Parameters
+        ----------
+        nrows : int, default: 1
+            Number of rows in grid.
+
+        ncols : int, default: 1
+            Number of columns in grid.
 
         Returns
         -------
-        size : ndarray
-           The size of the figure in inches
+        `.GridSpec`
+
+        Other Parameters
+        ----------------
+        **kwargs
+            Keyword arguments are passed to `.GridSpec`.
 
         See Also
         --------
+        matplotlib.pyplot.subplots
 
-        matplotlib.Figure.set_size_inches
-        """
-        return np.array(self.bbox_inches.p1)
+        Examples
+        --------
+        Adding a subplot that spans two rows::
+
+            fig = plt.figure()
+            gs = fig.add_gridspec(2, 2)
+            ax1 = fig.add_subplot(gs[0, 0])
+            ax2 = fig.add_subplot(gs[1, 0])
+            # spans two rows:
+            ax3 = fig.add_subplot(gs[:, 1])
+
+        """
+
+        _ = kwargs.pop('figure', None)  # pop in case user has added this...
+        gs = GridSpec(nrows=nrows, ncols=ncols, figure=self, **kwargs)
+        return gs
+
+    def subfigures(self, nrows=1, ncols=1, squeeze=True,
+                   wspace=None, hspace=None,
+                   width_ratios=None, height_ratios=None,
+                   **kwargs):
+        """
+        Add a set of subfigures to this figure or subfigure.
+
+        A subfigure has the same artist methods as a figure, and is logically
+        the same as a figure, but cannot print itself.
+        See :doc:`/gallery/subplots_axes_and_figures/subfigures`.
+
+        .. versionchanged:: 3.10
+            subfigures are now added in row-major order.
+
+        Parameters
+        ----------
+        nrows, ncols : int, default: 1
+            Number of rows/columns of the subfigure grid.
+
+        squeeze : bool, default: True
+            If True, extra dimensions are squeezed out from the returned
+            array of subfigures.
+
+        wspace, hspace : float, default: None
+            The amount of width/height reserved for space between subfigures,
+            expressed as a fraction of the average subfigure width/height.
+            If not given, the values will be inferred from rcParams if using
+            constrained layout (see `~.ConstrainedLayoutEngine`), or zero if
+            not using a layout engine.
+
+        width_ratios : array-like of length *ncols*, optional
+            Defines the relative widths of the columns. Each column gets a
+            relative width of ``width_ratios[i] / sum(width_ratios)``.
+            If not given, all columns will have the same width.
+
+        height_ratios : array-like of length *nrows*, optional
+            Defines the relative heights of the rows. Each row gets a
+            relative height of ``height_ratios[i] / sum(height_ratios)``.
+            If not given, all rows will have the same height.
+        """
+        gs = GridSpec(nrows=nrows, ncols=ncols, figure=self,
+                      wspace=wspace, hspace=hspace,
+                      width_ratios=width_ratios,
+                      height_ratios=height_ratios,
+                      left=0, right=1, bottom=0, top=1)
+
+        sfarr = np.empty((nrows, ncols), dtype=object)
+        for i in range(nrows):
+            for j in range(ncols):
+                sfarr[i, j] = self.add_subfigure(gs[i, j], **kwargs)
+
+        if self.get_layout_engine() is None and (wspace is not None or
+                                                 hspace is not None):
+            # Gridspec wspace and hspace is ignored on subfigure instantiation,
+            # and no space is left.  So need to account for it here if required.
+            bottoms, tops, lefts, rights = gs.get_grid_positions(self)
+            for sfrow, bottom, top in zip(sfarr, bottoms, tops):
+                for sf, left, right in zip(sfrow, lefts, rights):
+                    bbox = Bbox.from_extents(left, bottom, right, top)
+                    sf._redo_transform_rel_fig(bbox=bbox)
+
+        if squeeze:
+            # Discarding unneeded dimensions that equal 1.  If we only have one
+            # subfigure, just return it instead of a 1-element array.
+            return sfarr.item() if sfarr.size == 1 else sfarr.squeeze()
+        else:
+            # Returned axis array will be always 2-d, even if nrows=ncols=1.
+            return sfarr
 
-    def get_edgecolor(self):
-        'Get the edge color of the Figure rectangle'
-        return self.patch.get_edgecolor()
+    def add_subfigure(self, subplotspec, **kwargs):
+        """
+        Add a `.SubFigure` to the figure as part of a subplot arrangement.
 
-    def get_facecolor(self):
-        'Get the face color of the Figure rectangle'
-        return self.patch.get_facecolor()
+        Parameters
+        ----------
+        subplotspec : `.gridspec.SubplotSpec`
+            Defines the region in a parent gridspec where the subfigure will
+            be placed.
 
-    def get_figwidth(self):
-        'Return the figwidth as a float'
-        return self.bbox_inches.width
+        Returns
+        -------
+        `.SubFigure`
 
-    def get_figheight(self):
-        'Return the figheight as a float'
-        return self.bbox_inches.height
+        Other Parameters
+        ----------------
+        **kwargs
+            Are passed to the `.SubFigure` object.
 
-    def get_dpi(self):
-        'Return the dpi as a float'
-        return self.dpi
+        See Also
+        --------
+        .Figure.subfigures
+        """
+        sf = SubFigure(self, subplotspec, **kwargs)
+        self.subfigs += [sf]
+        sf._remove_method = self.subfigs.remove
+        sf.stale_callback = _stale_figure_callback
+        self.stale = True
+        return sf
 
-    def get_frameon(self):
-        'get the boolean indicating frameon'
-        return self.frameon
+    def sca(self, a):
+        """Set the current Axes to be *a* and return *a*."""
+        self._axstack.bubble(a)
+        self._axobservers.process("_axes_change_event", self)
+        return a
 
-    def set_edgecolor(self, color):
+    def gca(self):
         """
-        Set the edge color of the Figure rectangle
+        Get the current Axes.
 
-        ACCEPTS: any matplotlib color - see help(colors)
+        If there is currently no Axes on this Figure, a new one is created
+        using `.Figure.add_subplot`.  (To test whether there is currently an
+        Axes on a Figure, check whether ``figure.axes`` is empty.  To test
+        whether there is currently a Figure on the pyplot figure stack, check
+        whether `.pyplot.get_fignums()` is empty.)
         """
-        self.patch.set_edgecolor(color)
+        ax = self._axstack.current()
+        return ax if ax is not None else self.add_subplot()
 
-    def set_facecolor(self, color):
+    def _gci(self):
+        # Helper for `~matplotlib.pyplot.gci`.  Do not use elsewhere.
         """
-        Set the face color of the Figure rectangle
+        Get the current colorable artist.
 
-        ACCEPTS: any matplotlib color - see help(colors)
-        """
-        self.patch.set_facecolor(color)
+        Specifically, returns the current `.ScalarMappable` instance (`.Image`
+        created by `imshow` or `figimage`, `.Collection` created by `pcolor` or
+        `scatter`, etc.), or *None* if no such instance has been defined.
 
-    def set_dpi(self, val):
-        """
-        Set the dots-per-inch of the figure
+        The current image is an attribute of the current Axes, or the nearest
+        earlier Axes in the current figure that contains an image.
 
-        ACCEPTS: float
+        Notes
+        -----
+        Historically, the only colorable artists were images; hence the name
+        ``gci`` (get current image).
         """
-        self.dpi = val
+        # Look first for an image in the current Axes.
+        ax = self._axstack.current()
+        if ax is None:
+            return None
+        im = ax._gci()
+        if im is not None:
+            return im
+        # If there is no image in the current Axes, search for
+        # one in a previously created Axes.  Whether this makes
+        # sense is debatable, but it is the documented behavior.
+        for ax in reversed(self.axes):
+            im = ax._gci()
+            if im is not None:
+                return im
+        return None
 
-    def set_figwidth(self, val):
+    def _process_projection_requirements(self, *, axes_class=None, polar=False,
+                                         projection=None, **kwargs):
         """
-        Set the width of the figure in inches
+        Handle the args/kwargs to add_axes/add_subplot/gca, returning::
 
-        ACCEPTS: float
+            (axes_proj_class, proj_class_kwargs)
+
+        which can be used for new Axes initialization/identification.
         """
-        self.bbox_inches.x1 = val
+        if axes_class is not None:
+            if polar or projection is not None:
+                raise ValueError(
+                    "Cannot combine 'axes_class' and 'projection' or 'polar'")
+            projection_class = axes_class
+        else:
 
-    def set_figheight(self, val):
+            if polar:
+                if projection is not None and projection != 'polar':
+                    raise ValueError(
+                        f"polar={polar}, yet projection={projection!r}. "
+                        "Only one of these arguments should be supplied."
+                    )
+                projection = 'polar'
+
+            if isinstance(projection, str) or projection is None:
+                projection_class = projections.get_projection_class(projection)
+            elif hasattr(projection, '_as_mpl_axes'):
+                projection_class, extra_kwargs = projection._as_mpl_axes()
+                kwargs.update(**extra_kwargs)
+            else:
+                raise TypeError(
+                    f"projection must be a string, None or implement a "
+                    f"_as_mpl_axes method, not {projection!r}")
+        return projection_class, kwargs
+
+    def get_default_bbox_extra_artists(self):
         """
-        Set the height of the figure in inches
+        Return a list of Artists typically used in `.Figure.get_tightbbox`.
+        """
+        bbox_artists = [artist for artist in self.get_children()
+                        if (artist.get_visible() and artist.get_in_layout())]
+        for ax in self.axes:
+            if ax.get_visible():
+                bbox_artists.extend(ax.get_default_bbox_extra_artists())
+        return bbox_artists
 
-        ACCEPTS: float
+    def get_tightbbox(self, renderer=None, *, bbox_extra_artists=None):
         """
-        self.bbox_inches.y1 = val
+        Return a (tight) bounding box of the figure *in inches*.
 
-    def set_frameon(self, b):
+        Note that `.FigureBase` differs from all other artists, which return
+        their `.Bbox` in pixels.
+
+        Artists that have ``artist.set_in_layout(False)`` are not included
+        in the bbox.
+
+        Parameters
+        ----------
+        renderer : `.RendererBase` subclass
+            Renderer that will be used to draw the figures (i.e.
+            ``fig.canvas.get_renderer()``)
+
+        bbox_extra_artists : list of `.Artist` or ``None``
+            List of artists to include in the tight bounding box.  If
+            ``None`` (default), then all artist children of each Axes are
+            included in the tight bounding box.
+
+        Returns
+        -------
+        `.BboxBase`
+            containing the bounding box (in figure inches).
         """
-        Set whether the figure frame (background) is displayed or invisible
 
-        ACCEPTS: boolean
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+
+        bb = []
+        if bbox_extra_artists is None:
+            artists = [artist for artist in self.get_children()
+                       if (artist not in self.axes and artist.get_visible()
+                           and artist.get_in_layout())]
+        else:
+            artists = bbox_extra_artists
+
+        for a in artists:
+            bbox = a.get_tightbbox(renderer)
+            if bbox is not None:
+                bb.append(bbox)
+
+        for ax in self.axes:
+            if ax.get_visible():
+                # some Axes don't take the bbox_extra_artists kwarg so we
+                # need this conditional....
+                try:
+                    bbox = ax.get_tightbbox(
+                        renderer, bbox_extra_artists=bbox_extra_artists)
+                except TypeError:
+                    bbox = ax.get_tightbbox(renderer)
+                bb.append(bbox)
+        bb = [b for b in bb
+              if (np.isfinite(b.width) and np.isfinite(b.height)
+                  and (b.width != 0 or b.height != 0))]
+
+        isfigure = hasattr(self, 'bbox_inches')
+        if len(bb) == 0:
+            if isfigure:
+                return self.bbox_inches
+            else:
+                # subfigures do not have bbox_inches, but do have a bbox
+                bb = [self.bbox]
+
+        _bbox = Bbox.union(bb)
+
+        if isfigure:
+            # transform from pixels to inches...
+            _bbox = TransformedBbox(_bbox, self.dpi_scale_trans.inverted())
+
+        return _bbox
+
+    @staticmethod
+    def _norm_per_subplot_kw(per_subplot_kw):
+        expanded = {}
+        for k, v in per_subplot_kw.items():
+            if isinstance(k, tuple):
+                for sub_key in k:
+                    if sub_key in expanded:
+                        raise ValueError(f'The key {sub_key!r} appears multiple times.')
+                    expanded[sub_key] = v
+            else:
+                if k in expanded:
+                    raise ValueError(f'The key {k!r} appears multiple times.')
+                expanded[k] = v
+        return expanded
+
+    @staticmethod
+    def _normalize_grid_string(layout):
+        if '\n' not in layout:
+            # single-line string
+            return [list(ln) for ln in layout.split(';')]
+        else:
+            # multi-line string
+            layout = inspect.cleandoc(layout)
+            return [list(ln) for ln in layout.strip('\n').split('\n')]
+
+    def subplot_mosaic(self, mosaic, *, sharex=False, sharey=False,
+                       width_ratios=None, height_ratios=None,
+                       empty_sentinel='.',
+                       subplot_kw=None, per_subplot_kw=None, gridspec_kw=None):
         """
-        self.frameon = b
+        Build a layout of Axes based on ASCII art or nested lists.
 
-    def delaxes(self, a):
-        'remove a from the figure and update the current axes'
-        self._axstack.remove(a)
-        for func in self._axobservers:
-            func(self)
+        This is a helper function to build complex GridSpec layouts visually.
 
-    def _make_key(self, *args, **kwargs):
-        'make a hashable key out of args and kwargs'
+        See :ref:`mosaic`
+        for an example and full API documentation
 
-        def fixitems(items):
-            #items may have arrays and lists in them, so convert them
-            # to tuples for the key
-            ret = []
-            for k, v in items:
-                if iterable(v):
-                    v = tuple(v)
-                ret.append((k, v))
-            return tuple(ret)
+        Parameters
+        ----------
+        mosaic : list of list of {hashable or nested} or str
 
-        def fixlist(args):
-            ret = []
-            for a in args:
-                if iterable(a):
-                    a = tuple(a)
-                ret.append(a)
-            return tuple(ret)
+            A visual layout of how you want your Axes to be arranged
+            labeled as strings.  For example ::
 
-        key = fixlist(args), fixitems(six.iteritems(kwargs))
-        return key
+               x = [['A panel', 'A panel', 'edge'],
+                    ['C panel', '.',       'edge']]
 
-    @docstring.dedent_interpd
-    def add_axes(self, *args, **kwargs):
-        """
-        Add an axes at position *rect* [*left*, *bottom*, *width*,
-        *height*] where all quantities are in fractions of figure
-        width and height.  kwargs are legal
-        :class:`~matplotlib.axes.Axes` kwargs plus *projection* which
-        sets the projection type of the axes.  (For backward
-        compatibility, ``polar=True`` may also be provided, which is
-        equivalent to ``projection='polar'``).  Valid values for
-        *projection* are: %(projection_names)s.  Some of these
-        projections support  additional kwargs, which may be provided
-        to :meth:`add_axes`. Typical usage::
-
-            rect = l,b,w,h
-            fig.add_axes(rect)
-            fig.add_axes(rect, frameon=False, axisbg='g')
-            fig.add_axes(rect, polar=True)
-            fig.add_axes(rect, projection='polar')
-            fig.add_axes(ax)
+            produces 4 Axes:
 
-        If the figure already has an axes with the same parameters,
-        then it will simply make that axes current and return it.  If
-        you do not want this behavior, e.g., you want to force the
-        creation of a new Axes, you must use a unique set of args and
-        kwargs.  The axes :attr:`~matplotlib.axes.Axes.label`
-        attribute has been exposed for this purpose.  e.g., if you want
-        two axes that are otherwise identical to be added to the
-        figure, make sure you give them unique labels::
+            - 'A panel' which is 1 row high and spans the first two columns
+            - 'edge' which is 2 rows high and is on the right edge
+            - 'C panel' which in 1 row and 1 column wide in the bottom left
+            - a blank space 1 row and 1 column wide in the bottom center
 
-            fig.add_axes(rect, label='axes1')
-            fig.add_axes(rect, label='axes2')
+            Any of the entries in the layout can be a list of lists
+            of the same form to create nested layouts.
 
-        In rare circumstances, add_axes may be called with a single
-        argument, an Axes instance already created in the present
-        figure but not in the figure's list of axes.  For example,
-        if an axes has been removed with :meth:`delaxes`, it can
-        be restored with::
+            If input is a str, then it can either be a multi-line string of
+            the form ::
 
-            fig.add_axes(ax)
+              '''
+              AAE
+              C.E
+              '''
 
-        In all cases, the :class:`~matplotlib.axes.Axes` instance
-        will be returned.
+            where each character is a column and each line is a row. Or it
+            can be a single-line string where rows are separated by ``;``::
 
-        In addition to *projection*, the following kwargs are supported:
+              'AB;CC'
 
-        %(Axes)s
-        """
-        if not len(args):
-            return
+            The string notation allows only single character Axes labels and
+            does not support nesting but is very terse.
 
-        # shortcut the projection "key" modifications later on, if an axes
-        # with the exact args/kwargs exists, return it immediately.
-        key = self._make_key(*args, **kwargs)
-        ax = self._axstack.get(key)
-        if ax is not None:
-            self.sca(ax)
-            return ax
+            The Axes identifiers may be `str` or a non-iterable hashable
+            object (e.g. `tuple` s may not be used).
 
-        if isinstance(args[0], Axes):
-            a = args[0]
-            assert(a.get_figure() is self)
-        else:
-            rect = args[0]
-            projection_class, kwargs, key = process_projection_requirements(
-                self, *args, **kwargs)
-
-            # check that an axes of this type doesn't already exist, if it
-            # does, set it as active and return it
-            ax = self._axstack.get(key)
-            if ax is not None and isinstance(ax, projection_class):
-                self.sca(ax)
-                return ax
-
-            # create the new axes using the axes class given
-            a = projection_class(self, rect, **kwargs)
-
-        self._axstack.add(key, a)
-        self.sca(a)
-        return a
+        sharex, sharey : bool, default: False
+            If True, the x-axis (*sharex*) or y-axis (*sharey*) will be shared
+            among all subplots.  In that case, tick label visibility and axis
+            units behave as for `subplots`.  If False, each subplot's x- or
+            y-axis will be independent.
 
-    @docstring.dedent_interpd
-    def add_subplot(self, *args, **kwargs):
-        """
-        Add a subplot.  Examples::
+        width_ratios : array-like of length *ncols*, optional
+            Defines the relative widths of the columns. Each column gets a
+            relative width of ``width_ratios[i] / sum(width_ratios)``.
+            If not given, all columns will have the same width.  Equivalent
+            to ``gridspec_kw={'width_ratios': [...]}``. In the case of nested
+            layouts, this argument applies only to the outer layout.
+
+        height_ratios : array-like of length *nrows*, optional
+            Defines the relative heights of the rows. Each row gets a
+            relative height of ``height_ratios[i] / sum(height_ratios)``.
+            If not given, all rows will have the same height. Equivalent
+            to ``gridspec_kw={'height_ratios': [...]}``. In the case of nested
+            layouts, this argument applies only to the outer layout.
+
+        subplot_kw : dict, optional
+            Dictionary with keywords passed to the `.Figure.add_subplot` call
+            used to create each subplot.  These values may be overridden by
+            values in *per_subplot_kw*.
+
+        per_subplot_kw : dict, optional
+            A dictionary mapping the Axes identifiers or tuples of identifiers
+            to a dictionary of keyword arguments to be passed to the
+            `.Figure.add_subplot` call used to create each subplot.  The values
+            in these dictionaries have precedence over the values in
+            *subplot_kw*.
+
+            If *mosaic* is a string, and thus all keys are single characters,
+            it is possible to use a single string instead of a tuple as keys;
+            i.e. ``"AB"`` is equivalent to ``("A", "B")``.
+
+            .. versionadded:: 3.7
+
+        gridspec_kw : dict, optional
+            Dictionary with keywords passed to the `.GridSpec` constructor used
+            to create the grid the subplots are placed on. In the case of
+            nested layouts, this argument applies only to the outer layout.
+            For more complex layouts, users should use `.Figure.subfigures`
+            to create the nesting.
+
+        empty_sentinel : object, optional
+            Entry in the layout to mean "leave this space empty".  Defaults
+            to ``'.'``. Note, if *layout* is a string, it is processed via
+            `inspect.cleandoc` to remove leading white space, which may
+            interfere with using white-space as the empty sentinel.
+
+        Returns
+        -------
+        dict[label, Axes]
+           A dictionary mapping the labels to the Axes objects.  The order of
+           the Axes is left-to-right and top-to-bottom of their position in the
+           total layout.
+
+        """
+        subplot_kw = subplot_kw or {}
+        gridspec_kw = dict(gridspec_kw or {})
+        per_subplot_kw = per_subplot_kw or {}
+
+        if height_ratios is not None:
+            if 'height_ratios' in gridspec_kw:
+                raise ValueError("'height_ratios' must not be defined both as "
+                                 "parameter and as key in 'gridspec_kw'")
+            gridspec_kw['height_ratios'] = height_ratios
+        if width_ratios is not None:
+            if 'width_ratios' in gridspec_kw:
+                raise ValueError("'width_ratios' must not be defined both as "
+                                 "parameter and as key in 'gridspec_kw'")
+            gridspec_kw['width_ratios'] = width_ratios
+
+        # special-case string input
+        if isinstance(mosaic, str):
+            mosaic = self._normalize_grid_string(mosaic)
+            per_subplot_kw = {
+                tuple(k): v for k, v in per_subplot_kw.items()
+            }
+
+        per_subplot_kw = self._norm_per_subplot_kw(per_subplot_kw)
+
+        # Only accept strict bools to allow a possible future API expansion.
+        _api.check_isinstance(bool, sharex=sharex, sharey=sharey)
+
+        def _make_array(inp):
+            """
+            Convert input into 2D array
+
+            We need to have this internal function rather than
+            ``np.asarray(..., dtype=object)`` so that a list of lists
+            of lists does not get converted to an array of dimension > 2.
+
+            Returns
+            -------
+            2D object array
+            """
+            r0, *rest = inp
+            if isinstance(r0, str):
+                raise ValueError('List mosaic specification must be 2D')
+            for j, r in enumerate(rest, start=1):
+                if isinstance(r, str):
+                    raise ValueError('List mosaic specification must be 2D')
+                if len(r0) != len(r):
+                    raise ValueError(
+                        "All of the rows must be the same length, however "
+                        f"the first row ({r0!r}) has length {len(r0)} "
+                        f"and row {j} ({r!r}) has length {len(r)}."
+                    )
+            out = np.zeros((len(inp), len(r0)), dtype=object)
+            for j, r in enumerate(inp):
+                for k, v in enumerate(r):
+                    out[j, k] = v
+            return out
+
+        def _identify_keys_and_nested(mosaic):
+            """
+            Given a 2D object array, identify unique IDs and nested mosaics
+
+            Parameters
+            ----------
+            mosaic : 2D object array
+
+            Returns
+            -------
+            unique_ids : tuple
+                The unique non-sub mosaic entries in this mosaic
+            nested : dict[tuple[int, int], 2D object array]
+            """
+            # make sure we preserve the user supplied order
+            unique_ids = cbook._OrderedSet()
+            nested = {}
+            for j, row in enumerate(mosaic):
+                for k, v in enumerate(row):
+                    if v == empty_sentinel:
+                        continue
+                    elif not cbook.is_scalar_or_string(v):
+                        nested[(j, k)] = _make_array(v)
+                    else:
+                        unique_ids.add(v)
+
+            return tuple(unique_ids), nested
+
+        def _do_layout(gs, mosaic, unique_ids, nested):
+            """
+            Recursively do the mosaic.
+
+            Parameters
+            ----------
+            gs : GridSpec
+            mosaic : 2D object array
+                The input converted to a 2D array for this level.
+            unique_ids : tuple
+                The identified scalar labels at this level of nesting.
+            nested : dict[tuple[int, int]], 2D object array
+                The identified nested mosaics, if any.
+
+            Returns
+            -------
+            dict[label, Axes]
+                A flat dict of all of the Axes created.
+            """
+            output = dict()
+
+            # we need to merge together the Axes at this level and the Axes
+            # in the (recursively) nested sub-mosaics so that we can add
+            # them to the figure in the "natural" order if you were to
+            # ravel in c-order all of the Axes that will be created
+            #
+            # This will stash the upper left index of each object (axes or
+            # nested mosaic) at this level
+            this_level = dict()
+
+            # go through the unique keys,
+            for name in unique_ids:
+                # sort out where each axes starts/ends
+                index = np.argwhere(mosaic == name)
+                start_row, start_col = np.min(index, axis=0)
+                end_row, end_col = np.max(index, axis=0) + 1
+                # and construct the slice object
+                slc = (slice(start_row, end_row), slice(start_col, end_col))
+                # some light error checking
+                if (mosaic[slc] != name).any():
+                    raise ValueError(
+                        f"While trying to layout\n{mosaic!r}\n"
+                        f"we found that the label {name!r} specifies a "
+                        "non-rectangular or non-contiguous area.")
+                # and stash this slice for later
+                this_level[(start_row, start_col)] = (name, slc, 'axes')
+
+            # do the same thing for the nested mosaics (simpler because these
+            # cannot be spans yet!)
+            for (j, k), nested_mosaic in nested.items():
+                this_level[(j, k)] = (None, nested_mosaic, 'nested')
+
+            # now go through the things in this level and add them
+            # in order left-to-right top-to-bottom
+            for key in sorted(this_level):
+                name, arg, method = this_level[key]
+                # we are doing some hokey function dispatch here based
+                # on the 'method' string stashed above to sort out if this
+                # element is an Axes or a nested mosaic.
+                if method == 'axes':
+                    slc = arg
+                    # add a single Axes
+                    if name in output:
+                        raise ValueError(f"There are duplicate keys {name} "
+                                         f"in the layout\n{mosaic!r}")
+                    ax = self.add_subplot(
+                        gs[slc], **{
+                            'label': str(name),
+                            **subplot_kw,
+                            **per_subplot_kw.get(name, {})
+                        }
+                    )
+                    output[name] = ax
+                elif method == 'nested':
+                    nested_mosaic = arg
+                    j, k = key
+                    # recursively add the nested mosaic
+                    rows, cols = nested_mosaic.shape
+                    nested_output = _do_layout(
+                        gs[j, k].subgridspec(rows, cols),
+                        nested_mosaic,
+                        *_identify_keys_and_nested(nested_mosaic)
+                    )
+                    overlap = set(output) & set(nested_output)
+                    if overlap:
+                        raise ValueError(
+                            f"There are duplicate keys {overlap} "
+                            f"between the outer layout\n{mosaic!r}\n"
+                            f"and the nested layout\n{nested_mosaic}"
+                        )
+                    output.update(nested_output)
+                else:
+                    raise RuntimeError("This should never happen")
+            return output
+
+        mosaic = _make_array(mosaic)
+        rows, cols = mosaic.shape
+        gs = self.add_gridspec(rows, cols, **gridspec_kw)
+        ret = _do_layout(gs, mosaic, *_identify_keys_and_nested(mosaic))
+        ax0 = next(iter(ret.values()))
+        for ax in ret.values():
+            if sharex:
+                ax.sharex(ax0)
+                ax._label_outer_xaxis(skip_non_rectangular_axes=True)
+            if sharey:
+                ax.sharey(ax0)
+                ax._label_outer_yaxis(skip_non_rectangular_axes=True)
+        if extra := set(per_subplot_kw) - set(ret):
+            raise ValueError(
+                f"The keys {extra} are in *per_subplot_kw* "
+                "but not in the mosaic."
+            )
+        return ret
+
+    def _set_artist_props(self, a):
+        if a != self:
+            a.set_figure(self)
+        a.stale_callback = _stale_figure_callback
+        a.set_transform(self.transSubfigure)
 
-            fig.add_subplot(111)
 
-            # equivalent but more general
-            fig.add_subplot(1,1,1)
+@_docstring.interpd
+class SubFigure(FigureBase):
+    """
+    Logical figure that can be placed inside a figure.
 
-            # add subplot with red background
-            fig.add_subplot(212, axisbg='r')
+    See :ref:`figure-api-subfigure` for an index of methods on this class.
+    Typically instantiated using `.Figure.add_subfigure` or
+    `.SubFigure.add_subfigure`, or `.SubFigure.subfigures`.  A subfigure has
+    the same methods as a figure except for those particularly tied to the size
+    or dpi of the figure, and is confined to a prescribed region of the figure.
+    For example the following puts two subfigures side-by-side::
 
-            # add a polar subplot
-            fig.add_subplot(111, projection='polar')
+        fig = plt.figure()
+        sfigs = fig.subfigures(1, 2)
+        axsL = sfigs[0].subplots(1, 2)
+        axsR = sfigs[1].subplots(2, 1)
 
-            # add Subplot instance sub
-            fig.add_subplot(sub)
+    See :doc:`/gallery/subplots_axes_and_figures/subfigures`
+    """
 
-        *kwargs* are legal :class:`~matplotlib.axes.Axes` kwargs plus
-        *projection*, which chooses a projection type for the axes.
-        (For backward compatibility, *polar=True* may also be
-        provided, which is equivalent to *projection='polar'*). Valid
-        values for *projection* are: %(projection_names)s.  Some of
-        these projections
-        support additional *kwargs*, which may be provided to
-        :meth:`add_axes`.
+    def __init__(self, parent, subplotspec, *,
+                 facecolor=None,
+                 edgecolor=None,
+                 linewidth=0.0,
+                 frameon=None,
+                 **kwargs):
+        """
+        Parameters
+        ----------
+        parent : `.Figure` or `.SubFigure`
+            Figure or subfigure that contains the SubFigure.  SubFigures
+            can be nested.
 
-        The :class:`~matplotlib.axes.Axes` instance will be returned.
+        subplotspec : `.gridspec.SubplotSpec`
+            Defines the region in a parent gridspec where the subfigure will
+            be placed.
 
-        If the figure already has a subplot with key (*args*,
-        *kwargs*) then it will simply make that subplot current and
-        return it.
+        facecolor : default: ``"none"``
+            The figure patch face color; transparent by default.
 
-        .. seealso:: :meth:`~matplotlib.pyplot.subplot` for an
-           explanation of the args.
+        edgecolor : default: :rc:`figure.edgecolor`
+            The figure patch edge color.
 
-        The following kwargs are supported:
+        linewidth : float
+            The linewidth of the frame (i.e. the edge linewidth of the figure
+            patch).
 
-        %(Axes)s
+        frameon : bool, default: :rc:`figure.frameon`
+            If ``False``, suppress drawing the figure background patch.
+
+        Other Parameters
+        ----------------
+        **kwargs : `.SubFigure` properties, optional
+
+            %(SubFigure:kwdoc)s
         """
-        if not len(args):
-            return
+        super().__init__(**kwargs)
+        if facecolor is None:
+            facecolor = "none"
+        edgecolor = mpl._val_or_rc(edgecolor, 'figure.edgecolor')
+        frameon = mpl._val_or_rc(frameon, 'figure.frameon')
+
+        self._subplotspec = subplotspec
+        self._parent = parent
+        self._root_figure = parent._root_figure
+
+        # subfigures use the parent axstack
+        self._axstack = parent._axstack
+        self.subplotpars = parent.subplotpars
+        self.dpi_scale_trans = parent.dpi_scale_trans
+        self._axobservers = parent._axobservers
+        self.transFigure = parent.transFigure
+        self.bbox_relative = Bbox.null()
+        self._redo_transform_rel_fig()
+        self.figbbox = self._parent.figbbox
+        self.bbox = TransformedBbox(self.bbox_relative,
+                                    self._parent.transSubfigure)
+        self.transSubfigure = BboxTransformTo(self.bbox)
+
+        self.patch = Rectangle(
+            xy=(0, 0), width=1, height=1, visible=frameon,
+            facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth,
+            # Don't let the figure patch influence bbox calculation.
+            in_layout=False, transform=self.transSubfigure)
+        self._set_artist_props(self.patch)
+        self.patch.set_antialiased(False)
 
-        if len(args) == 1 and isinstance(args[0], int):
-            args = tuple([int(c) for c in str(args[0])])
-            if len(args) != 3:
-                raise ValueError("Integer subplot specification must " +
-                                 "be a three digit number.  " +
-                                 "Not {n:d}".format(n=len(args)))
+    @property
+    def canvas(self):
+        return self._parent.canvas
 
-        if isinstance(args[0], SubplotBase):
+    @property
+    def dpi(self):
+        return self._parent.dpi
 
-            a = args[0]
-            assert(a.get_figure() is self)
-            # make a key for the subplot (which includes the axes object id
-            # in the hash)
-            key = self._make_key(*args, **kwargs)
-        else:
-            projection_class, kwargs, key = process_projection_requirements(
-                self, *args, **kwargs)
+    @dpi.setter
+    def dpi(self, value):
+        self._parent.dpi = value
 
-            # try to find the axes with this key in the stack
-            ax = self._axstack.get(key)
+    def get_dpi(self):
+        """
+        Return the resolution of the parent figure in dots-per-inch as a float.
+        """
+        return self._parent.dpi
 
-            if ax is not None:
-                if isinstance(ax, projection_class):
-                    # the axes already existed, so set it as active & return
-                    self.sca(ax)
-                    return ax
-                else:
-                    # Undocumented convenience behavior:
-                    # subplot(111); subplot(111, projection='polar')
-                    # will replace the first with the second.
-                    # Without this, add_subplot would be simpler and
-                    # more similar to add_axes.
-                    self._axstack.remove(ax)
+    def set_dpi(self, val):
+        """
+        Set the resolution of parent figure in dots-per-inch.
 
-            a = subplot_class_factory(projection_class)(self, *args, **kwargs)
+        Parameters
+        ----------
+        val : float
+        """
+        self._parent.dpi = val
+        self.stale = True
 
-        self._axstack.add(key, a)
-        self.sca(a)
-        return a
+    def _get_renderer(self):
+        return self._parent._get_renderer()
 
-    def clf(self, keep_observers=False):
+    def _redo_transform_rel_fig(self, bbox=None):
         """
-        Clear the figure.
+        Make the transSubfigure bbox relative to Figure transform.
 
-        Set *keep_observers* to True if, for example,
-        a gui widget is tracking the axes in the figure.
+        Parameters
+        ----------
+        bbox : bbox or None
+            If not None, then the bbox is used for relative bounding box.
+            Otherwise, it is calculated from the subplotspec.
         """
-        self.suppressComposite = None
-        self.callbacks = cbook.CallbackRegistry()
+        if bbox is not None:
+            self.bbox_relative.p0 = bbox.p0
+            self.bbox_relative.p1 = bbox.p1
+            return
+        # need to figure out *where* this subplotspec is.
+        gs = self._subplotspec.get_gridspec()
+        wr = np.asarray(gs.get_width_ratios())
+        hr = np.asarray(gs.get_height_ratios())
+        dx = wr[self._subplotspec.colspan].sum() / wr.sum()
+        dy = hr[self._subplotspec.rowspan].sum() / hr.sum()
+        x0 = wr[:self._subplotspec.colspan.start].sum() / wr.sum()
+        y0 = 1 - hr[:self._subplotspec.rowspan.stop].sum() / hr.sum()
+        self.bbox_relative.p0 = (x0, y0)
+        self.bbox_relative.p1 = (x0 + dx, y0 + dy)
 
-        for ax in tuple(self.axes):  # Iterate over the copy.
-            ax.cla()
-            self.delaxes(ax)         # removes ax from self._axstack
+    def get_constrained_layout(self):
+        """
+        Return whether constrained layout is being used.
 
-        toolbar = getattr(self.canvas, 'toolbar', None)
-        if toolbar is not None:
-            toolbar.update()
-        self._axstack.clear()
-        self.artists = []
-        self.lines = []
-        self.patches = []
-        self.texts = []
-        self.images = []
-        self.legends = []
-        if not keep_observers:
-            self._axobservers = []
-        self._suptitle = None
+        See :ref:`constrainedlayout_guide`.
+        """
+        return self._parent.get_constrained_layout()
 
-    def clear(self):
+    def get_constrained_layout_pads(self, relative=False):
         """
-        Clear the figure -- synonym for :meth:`clf`.
+        Get padding for ``constrained_layout``.
+
+        Returns a list of ``w_pad, h_pad`` in inches and
+        ``wspace`` and ``hspace`` as fractions of the subplot.
+
+        See :ref:`constrainedlayout_guide`.
+
+        Parameters
+        ----------
+        relative : bool
+            If `True`, then convert from inches to figure relative.
         """
-        self.clf()
+        return self._parent.get_constrained_layout_pads(relative=relative)
 
-    @allow_rasterization
-    def draw(self, renderer):
+    def get_layout_engine(self):
+        return self._parent.get_layout_engine()
+
+    @property
+    def axes(self):
         """
-        Render the figure using :class:`matplotlib.backend_bases.RendererBase`
-        instance *renderer*.
+        List of Axes in the SubFigure.  You can access and modify the Axes
+        in the SubFigure through this list.
+
+        Modifying this list has no effect. Instead, use `~.SubFigure.add_axes`,
+        `~.SubFigure.add_subplot` or `~.SubFigure.delaxes` to add or remove an
+        Axes.
+
+        Note: The `.SubFigure.axes` property and `~.SubFigure.get_axes` method
+        are equivalent.
         """
+        return self._localaxes[:]
+
+    get_axes = axes.fget
+
+    def draw(self, renderer):
+        # docstring inherited
+
         # draw the figure bounding box, perhaps none for white figure
         if not self.get_visible():
             return
-        renderer.open_group('figure')
 
-        if self.get_tight_layout() and self.axes:
-            try:
-                self.tight_layout(renderer, **self._tight_parameters)
-            except ValueError:
-                pass
-                # ValueError can occur when resizing a window.
+        artists = self._get_draw_artists(renderer)
 
-        if self.frameon:
+        try:
+            renderer.open_group('subfigure', gid=self.get_gid())
             self.patch.draw(renderer)
+            mimage._draw_list_compositing_images(
+                renderer, self, artists, self.get_figure(root=True).suppressComposite)
+            renderer.close_group('subfigure')
+
+        finally:
+            self.stale = False
 
-        # a list of (zorder, func_to_call, list_of_args)
-        dsu = []
 
-        for a in self.patches:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+@_docstring.interpd
+class Figure(FigureBase):
+    """
+    The top level container for all the plot elements.
+
+    See `matplotlib.figure` for an index of class methods.
 
-        for a in self.lines:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+    Attributes
+    ----------
+    patch
+        The `.Rectangle` instance representing the figure background patch.
 
-        for a in self.artists:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+    suppressComposite
+        For multiple images, the figure will make composite images
+        depending on the renderer option_image_nocomposite function.  If
+        *suppressComposite* is a boolean, this will override the renderer.
+    """
 
-        # override the renderer default if self.suppressComposite
-        # is not None
-        not_composite = renderer.option_image_nocomposite()
-        if self.suppressComposite is not None:
-            not_composite = self.suppressComposite
+    # we want to cache the fonts and mathtext at a global level so that when
+    # multiple figures are created we can reuse them.  This helps with a bug on
+    # windows where the creation of too many figures leads to too many open
+    # file handles and improves the performance of parsing mathtext.  However,
+    # these global caches are not thread safe.  The solution here is to let the
+    # Figure acquire a shared lock at the start of the draw, and release it when it
+    # is done.  This allows multiple renderers to share the cached fonts and
+    # parsed text, but only one figure can draw at a time and so the font cache
+    # and mathtext cache are used by only one renderer at a time.
 
-        if (len(self.images) <= 1 or not_composite or
-                not cbook.allequal([im.origin for im in self.images])):
-            for a in self.images:
-                dsu.append((a.get_zorder(), a, a.draw, [renderer]))
-        else:
-            # make a composite image blending alpha
-            # list of (_image.Image, ox, oy)
-            mag = renderer.get_image_magnification()
-            ims = [(im.make_image(mag), im.ox, im.oy, im.get_alpha())
-                   for im in self.images]
+    _render_lock = threading.RLock()
 
-            im = _image.from_images(int(self.bbox.height * mag),
-                                    int(self.bbox.width * mag),
-                                    ims)
+    def __str__(self):
+        return "Figure(%gx%g)" % tuple(self.bbox.size)
 
-            im.is_grayscale = False
-            l, b, w, h = self.bbox.bounds
+    def __repr__(self):
+        return "<{clsname} size {h:g}x{w:g} with {naxes} Axes>".format(
+            clsname=self.__class__.__name__,
+            h=self.bbox.size[0], w=self.bbox.size[1],
+            naxes=len(self.axes),
+        )
 
-            def draw_composite():
-                gc = renderer.new_gc()
-                gc.set_clip_rectangle(self.bbox)
-                gc.set_clip_path(self.get_clip_path())
-                renderer.draw_image(gc, l, b, im)
-                gc.restore()
+    def __init__(self,
+                 figsize=None,
+                 dpi=None,
+                 *,
+                 facecolor=None,
+                 edgecolor=None,
+                 linewidth=0.0,
+                 frameon=None,
+                 subplotpars=None,  # rc figure.subplot.*
+                 tight_layout=None,  # rc figure.autolayout
+                 constrained_layout=None,  # rc figure.constrained_layout.use
+                 layout=None,
+                 **kwargs
+                 ):
+        """
+        Parameters
+        ----------
+        figsize : (float, float) or (float, float, str), default: :rc:`figure.figsize`
+            The figure dimensions. This can be
 
-            dsu.append((self.images[0].get_zorder(), self.images[0],
-                        draw_composite, []))
+            - a tuple ``(width, height, unit)``, where *unit* is one of "in" (inch),
+              "cm" (centimenter), "px" (pixel).
+            - a tuple ``(width, height)``, which is interpreted in inches, i.e. as
+              ``(width, height, "in")``.
 
-        # render the axes
-        for a in self.axes:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+        dpi : float, default: :rc:`figure.dpi`
+            Dots per inch.
+
+        facecolor : default: :rc:`figure.facecolor`
+            The figure patch facecolor.
+
+        edgecolor : default: :rc:`figure.edgecolor`
+            The figure patch edge color.
+
+        linewidth : float
+            The linewidth of the frame (i.e. the edge linewidth of the figure
+            patch).
+
+        frameon : bool, default: :rc:`figure.frameon`
+            If ``False``, suppress drawing the figure background patch.
+
+        subplotpars : `~matplotlib.gridspec.SubplotParams`
+            Subplot parameters. If not given, the default subplot
+            parameters :rc:`figure.subplot.*` are used.
+
+        tight_layout : bool or dict, default: :rc:`figure.autolayout`
+            Whether to use the tight layout mechanism. See `.set_tight_layout`.
+
+            .. admonition:: Discouraged
+
+                The use of this parameter is discouraged. Please use
+                ``layout='tight'`` instead for the common case of
+                ``tight_layout=True`` and use `.set_tight_layout` otherwise.
+
+        constrained_layout : bool, default: :rc:`figure.constrained_layout.use`
+            This is equal to ``layout='constrained'``.
+
+            .. admonition:: Discouraged
+
+                The use of this parameter is discouraged. Please use
+                ``layout='constrained'`` instead.
+
+        layout : {'constrained', 'compressed', 'tight', 'none', `.LayoutEngine`, \
+None}, default: None
+            The layout mechanism for positioning of plot elements to avoid
+            overlapping Axes decorations (labels, ticks, etc). Note that
+            layout managers can have significant performance penalties.
+
+            - 'constrained': The constrained layout solver adjusts Axes sizes
+              to avoid overlapping Axes decorations.  Can handle complex plot
+              layouts and colorbars, and is thus recommended.
+
+              See :ref:`constrainedlayout_guide` for examples.
+
+            - 'compressed': uses the same algorithm as 'constrained', but
+              removes extra space between fixed-aspect-ratio Axes.  Best for
+              simple grids of Axes.
+
+            - 'tight': Use the tight layout mechanism. This is a relatively
+              simple algorithm that adjusts the subplot parameters so that
+              decorations do not overlap.
+
+              See :ref:`tight_layout_guide` for examples.
+
+            - 'none': Do not use a layout engine.
+
+            - A `.LayoutEngine` instance. Builtin layout classes are
+              `.ConstrainedLayoutEngine` and `.TightLayoutEngine`, more easily
+              accessible by 'constrained' and 'tight'.  Passing an instance
+              allows third parties to provide their own layout engine.
+
+            If not given, fall back to using the parameters *tight_layout* and
+            *constrained_layout*, including their config defaults
+            :rc:`figure.autolayout` and :rc:`figure.constrained_layout.use`.
+
+        Other Parameters
+        ----------------
+        **kwargs : `.Figure` properties, optional
+
+            %(Figure:kwdoc)s
+        """
+        super().__init__(**kwargs)
+        self._root_figure = self
+        self._layout_engine = None
+
+        if layout is not None:
+            if (tight_layout is not None):
+                _api.warn_external(
+                    "The Figure parameters 'layout' and 'tight_layout' cannot "
+                    "be used together. Please use 'layout' only.")
+            if (constrained_layout is not None):
+                _api.warn_external(
+                    "The Figure parameters 'layout' and 'constrained_layout' "
+                    "cannot be used together. Please use 'layout' only.")
+            self.set_layout_engine(layout=layout)
+        elif tight_layout is not None:
+            if constrained_layout is not None:
+                _api.warn_external(
+                    "The Figure parameters 'tight_layout' and "
+                    "'constrained_layout' cannot be used together. Please use "
+                    "'layout' parameter")
+            self.set_layout_engine(layout='tight')
+            if isinstance(tight_layout, dict):
+                self.get_layout_engine().set(**tight_layout)
+        elif constrained_layout is not None:
+            if isinstance(constrained_layout, dict):
+                self.set_layout_engine(layout='constrained')
+                self.get_layout_engine().set(**constrained_layout)
+            elif constrained_layout:
+                self.set_layout_engine(layout='constrained')
 
-        # render the figure text
-        for a in self.texts:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+        else:
+            # everything is None, so use default:
+            self.set_layout_engine(layout=layout)
+
+        # Callbacks traditionally associated with the canvas (and exposed with
+        # a proxy property), but that actually need to be on the figure for
+        # pickling.
+        self._canvas_callbacks = cbook.CallbackRegistry(
+            signals=FigureCanvasBase.events)
+        connect = self._canvas_callbacks._connect_picklable
+        self._mouse_key_ids = [
+            connect('key_press_event', backend_bases._key_handler),
+            connect('key_release_event', backend_bases._key_handler),
+            connect('key_release_event', backend_bases._key_handler),
+            connect('button_press_event', backend_bases._mouse_handler),
+            connect('button_release_event', backend_bases._mouse_handler),
+            connect('scroll_event', backend_bases._mouse_handler),
+            connect('motion_notify_event', backend_bases._mouse_handler),
+        ]
+        self._button_pick_id = connect('button_press_event', self.pick)
+        self._scroll_pick_id = connect('scroll_event', self.pick)
+
+        figsize = mpl._val_or_rc(figsize, 'figure.figsize')
+        dpi = mpl._val_or_rc(dpi, 'figure.dpi')
+        facecolor = mpl._val_or_rc(facecolor, 'figure.facecolor')
+        edgecolor = mpl._val_or_rc(edgecolor, 'figure.edgecolor')
+        frameon = mpl._val_or_rc(frameon, 'figure.frameon')
+
+        figsize = _parse_figsize(figsize, dpi)
+
+        if not np.isfinite(figsize).all() or (np.array(figsize) < 0).any():
+            raise ValueError('figure size must be positive finite not '
+                             f'{figsize}')
+        self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
 
-        for a in self.legends:
-            dsu.append((a.get_zorder(), a, a.draw, [renderer]))
+        self.dpi_scale_trans = Affine2D().scale(dpi)
+        # do not use property as it will trigger
+        self._dpi = dpi
+        self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
+        self.figbbox = self.bbox
+        self.transFigure = BboxTransformTo(self.bbox)
+        self.transSubfigure = self.transFigure
 
-        dsu = [row for row in dsu if not row[1].get_animated()]
-        dsu.sort(key=itemgetter(0))
-        for zorder, a, func, args in dsu:
-            func(*args)
+        self.patch = Rectangle(
+            xy=(0, 0), width=1, height=1, visible=frameon,
+            facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth,
+            # Don't let the figure patch influence bbox calculation.
+            in_layout=False)
+        self._set_artist_props(self.patch)
+        self.patch.set_antialiased(False)
 
-        renderer.close_group('figure')
+        FigureCanvasBase(self)  # Set self.canvas.
 
-        self._cachedRenderer = renderer
+        if subplotpars is None:
+            subplotpars = SubplotParams()
 
-        self.canvas.draw_event(renderer)
+        self.subplotpars = subplotpars
 
-    def draw_artist(self, a):
-        """
-        draw :class:`matplotlib.artist.Artist` instance *a* only --
-        this is available only after the figure is drawn
-        """
-        assert self._cachedRenderer is not None
-        a.draw(self._cachedRenderer)
+        self._axstack = _AxesStack()  # track all figure Axes and current Axes
+        self.clear()
 
-    def get_axes(self):
-        return self.axes
+    def pick(self, mouseevent):
+        if not self.canvas.widgetlock.locked():
+            super().pick(mouseevent)
 
-    def legend(self, handles, labels, *args, **kwargs):
+    def _check_layout_engines_compat(self, old, new):
         """
-        Place a legend in the figure.  Labels are a sequence of
-        strings, handles is a sequence of
-        :class:`~matplotlib.lines.Line2D` or
-        :class:`~matplotlib.patches.Patch` instances, and loc can be a
-        string or an integer specifying the legend location
+        Helper for set_layout engine
 
-        USAGE::
+        If the figure has used the old engine and added a colorbar then the
+        value of colorbar_gridspec must be the same on the new engine.
+        """
+        if old is None or new is None:
+            return True
+        if old.colorbar_gridspec == new.colorbar_gridspec:
+            return True
+        # colorbar layout different, so check if any colorbars are on the
+        # figure...
+        for ax in self.axes:
+            if hasattr(ax, '_colorbar'):
+                # colorbars list themselves as a colorbar.
+                return False
+        return True
 
-          legend( (line1, line2, line3),
-                  ('label1', 'label2', 'label3'),
-                  'upper right')
+    def set_layout_engine(self, layout=None, **kwargs):
+        """
+        Set the layout engine for this figure.
 
-        The *loc* location codes are::
+        Parameters
+        ----------
+        layout : {'constrained', 'compressed', 'tight', 'none', `.LayoutEngine`, None}
 
-          'best' : 0,          (currently not supported for figure legends)
-          'upper right'  : 1,
-          'upper left'   : 2,
-          'lower left'   : 3,
-          'lower right'  : 4,
-          'right'        : 5,
-          'center left'  : 6,
-          'center right' : 7,
-          'lower center' : 8,
-          'upper center' : 9,
-          'center'       : 10,
+            - 'constrained' will use `~.ConstrainedLayoutEngine`
+            - 'compressed' will also use `~.ConstrainedLayoutEngine`, but with
+              a correction that attempts to make a good layout for fixed-aspect
+              ratio Axes.
+            - 'tight' uses `~.TightLayoutEngine`
+            - 'none' removes layout engine.
 
-        *loc* can also be an (x,y) tuple in figure coords, which
-        specifies the lower left of the legend box.  figure coords are
-        (0,0) is the left, bottom of the figure and 1,1 is the right,
-        top.
+            If a `.LayoutEngine` instance, that instance will be used.
 
-        Keyword arguments:
+            If `None`, the behavior is controlled by :rc:`figure.autolayout`
+            (which if `True` behaves as if 'tight' was passed) and
+            :rc:`figure.constrained_layout.use` (which if `True` behaves as if
+            'constrained' was passed).  If both are `True`,
+            :rc:`figure.autolayout` takes priority.
 
-          *prop*: [ *None* | FontProperties | dict ]
-            A :class:`matplotlib.font_manager.FontProperties`
-            instance. If *prop* is a dictionary, a new instance will be
-            created with *prop*. If *None*, use rc settings.
+            Users and libraries can define their own layout engines and pass
+            the instance directly as well.
 
-          *numpoints*: integer
-            The number of points in the legend line, default is 4
+        **kwargs
+            The keyword arguments are passed to the layout engine to set things
+            like padding and margin sizes.  Only used if *layout* is a string.
 
-          *scatterpoints*: integer
-            The number of points in the legend line, default is 4
+        """
+        if layout is None:
+            if mpl.rcParams['figure.autolayout']:
+                layout = 'tight'
+            elif mpl.rcParams['figure.constrained_layout.use']:
+                layout = 'constrained'
+            else:
+                self._layout_engine = None
+                return
+        if layout == 'tight':
+            new_layout_engine = TightLayoutEngine(**kwargs)
+        elif layout == 'constrained':
+            new_layout_engine = ConstrainedLayoutEngine(**kwargs)
+        elif layout == 'compressed':
+            new_layout_engine = ConstrainedLayoutEngine(compress=True,
+                                                        **kwargs)
+        elif layout == 'none':
+            if self._layout_engine is not None:
+                new_layout_engine = PlaceHolderLayoutEngine(
+                    self._layout_engine.adjust_compatible,
+                    self._layout_engine.colorbar_gridspec
+                )
+            else:
+                new_layout_engine = None
+        elif isinstance(layout, LayoutEngine):
+            new_layout_engine = layout
+        else:
+            raise ValueError(f"Invalid value for 'layout': {layout!r}")
 
-          *scatteryoffsets*: list of floats
-            a list of yoffsets for scatter symbols in legend
+        if self._check_layout_engines_compat(self._layout_engine,
+                                             new_layout_engine):
+            self._layout_engine = new_layout_engine
+        else:
+            raise RuntimeError('Colorbar layout of new layout engine not '
+                               'compatible with old engine, and a colorbar '
+                               'has been created.  Engine not changed.')
 
-          *markerscale*: [ *None* | scalar ]
-            The relative size of legend markers vs. original. If *None*, use rc
-            settings.
+    def get_layout_engine(self):
+        return self._layout_engine
 
-          *markerfirst*: [ *True* | *False* ]
-            if *True*, legend marker is placed to the left of the legend label
-            if *False*, legend marker is placed to the right of the legend
-            label
+    # TODO: I'd like to dynamically add the _repr_html_ method
+    # to the figure in the right context, but then IPython doesn't
+    # use it, for some reason.
 
-          *fancybox*: [ *None* | *False* | *True* ]
-            if *True*, draw a frame with a round fancybox.  If *None*, use rc
+    def _repr_html_(self):
+        # We can't use "isinstance" here, because then we'd end up importing
+        # webagg unconditionally.
+        if 'WebAgg' in type(self.canvas).__name__:
+            from matplotlib.backends import backend_webagg
+            return backend_webagg.ipython_inline_display(self)
 
-          *shadow*: [ *None* | *False* | *True* ]
-            If *True*, draw a shadow behind legend. If *None*, use rc settings.
+    def show(self, warn=True):
+        """
+        If using a GUI backend with pyplot, display the figure window.
 
-          *ncol* : integer
-            number of columns. default is 1
+        If the figure was not created using `~.pyplot.figure`, it will lack
+        a `~.backend_bases.FigureManagerBase`, and this method will raise an
+        AttributeError.
 
-          *mode* : [ "expand" | *None* ]
-            if mode is "expand", the legend will be horizontally expanded
-            to fill the axes area (or *bbox_to_anchor*)
+        .. warning::
 
-          *title* : string
-            the legend title
+            This does not manage an GUI event loop. Consequently, the figure
+            may only be shown briefly or not shown at all if you or your
+            environment are not managing an event loop.
 
-        Padding and spacing between various elements use following keywords
-        parameters. The dimensions of these values are given as a fraction
-        of the fontsize. Values from rcParams will be used if None.
+            Use cases for `.Figure.show` include running this from a GUI
+            application (where there is persistently an event loop running) or
+            from a shell, like IPython, that install an input hook to allow the
+            interactive shell to accept input while the figure is also being
+            shown and interactive.  Some, but not all, GUI toolkits will
+            register an input hook on import.  See :ref:`cp_integration` for
+            more details.
 
-        ================   ====================================================
-        Keyword            Description
-        ================   ====================================================
-        borderpad          the fractional whitespace inside the legend border
-        labelspacing       the vertical space between the legend entries
-        handlelength       the length of the legend handles
-        handletextpad      the pad between the legend handle and text
-        borderaxespad      the pad between the axes and legend border
-        columnspacing      the spacing between columns
-        ================   ====================================================
+            If you're in a shell without input hook integration or executing a
+            python script, you should use `matplotlib.pyplot.show` with
+            ``block=True`` instead, which takes care of starting and running
+            the event loop for you.
 
-        .. Note:: Not all kinds of artist are supported by the legend.
-                  See LINK (FIXME) for details.
+        Parameters
+        ----------
+        warn : bool, default: True
+            If ``True`` and we are not running headless (i.e. on Linux with an
+            unset DISPLAY), issue warning when called on a non-GUI backend.
 
-        **Example:**
+        """
+        if self.canvas.manager is None:
+            raise AttributeError(
+                "Figure.show works only for figures managed by pyplot, "
+                "normally created by pyplot.figure()")
+        try:
+            self.canvas.manager.show()
+        except NonGuiException as exc:
+            if warn:
+                _api.warn_external(str(exc))
 
-        .. plot:: mpl_examples/pylab_examples/figlegend_demo.py
+    @property
+    def axes(self):
         """
-        l = Legend(self, handles, labels, *args, **kwargs)
-        self.legends.append(l)
-        l._remove_method = lambda h: self.legends.remove(h)
-        return l
+        List of Axes in the Figure. You can access and modify the Axes in the
+        Figure through this list.
 
-    @docstring.dedent_interpd
-    def text(self, x, y, s, *args, **kwargs):
+        Do not modify the list itself. Instead, use `~Figure.add_axes`,
+        `~.Figure.add_subplot` or `~.Figure.delaxes` to add or remove an Axes.
+
+        Note: The `.Figure.axes` property and `~.Figure.get_axes` method are
+        equivalent.
         """
-        Add text to figure.
+        return self._axstack.as_list()
 
-        Call signature::
+    get_axes = axes.fget
+
+    @property
+    def number(self):
+        """The figure id, used to identify figures in `.pyplot`."""
+        # Historically, pyplot dynamically added a number attribute to figure.
+        # However, this number must stay in sync with the figure manager.
+        # AFAICS overwriting the number attribute does not have the desired
+        # effect for pyplot. But there are some repos in GitHub that do change
+        # number. So let's take it slow and properly migrate away from writing.
+        #
+        # Making the dynamic attribute private and wrapping it in a property
+        # allows to maintain current behavior and deprecate write-access.
+        #
+        # When the deprecation expires, there's no need for duplicate state
+        # anymore and the private _number attribute can be replaced by
+        # `self.canvas.manager.num` if that exists and None otherwise.
+        if hasattr(self, '_number'):
+            return self._number
+        else:
+            raise AttributeError(
+                "'Figure' object has no attribute 'number'. In the future this"
+                "will change to returning 'None' instead.")
+
+    @number.setter
+    def number(self, num):
+        _api.warn_deprecated(
+            "3.10",
+            message="Changing 'Figure.number' is deprecated since %(since)s and "
+                    "will raise an error starting %(removal)s")
+        self._number = num
+
+    def _get_renderer(self):
+        if hasattr(self.canvas, 'get_renderer'):
+            return self.canvas.get_renderer()
+        else:
+            return _get_renderer(self)
+
+    def _get_dpi(self):
+        return self._dpi
+
+    def _set_dpi(self, dpi, forward=True):
+        """
+        Parameters
+        ----------
+        dpi : float
 
-          text(x, y, s, fontdict=None, **kwargs)
+        forward : bool
+            Passed on to `~.Figure.set_size_inches`
+        """
+        if dpi == self._dpi:
+            # We don't want to cause undue events in backends.
+            return
+        self._dpi = dpi
+        self.dpi_scale_trans.clear().scale(dpi)
+        w, h = self.get_size_inches()
+        self.set_size_inches(w, h, forward=forward)
 
-        Add text to figure at location *x*, *y* (relative 0-1
-        coords). See :func:`~matplotlib.pyplot.text` for the meaning
-        of the other arguments.
+    dpi = property(_get_dpi, _set_dpi, doc="The resolution in dots per inch.")
 
-        kwargs control the :class:`~matplotlib.text.Text` properties:
+    def get_tight_layout(self):
+        """Return whether `.Figure.tight_layout` is called when drawing."""
+        return isinstance(self.get_layout_engine(), TightLayoutEngine)
 
-        %(Text)s
+    @_api.deprecated("3.6", alternative="set_layout_engine",
+                     pending=True)
+    def set_tight_layout(self, tight):
         """
+        Set whether and how `.Figure.tight_layout` is called when drawing.
 
-        override = _process_text_args({}, *args, **kwargs)
-        t = Text(x=x, y=y, text=s)
+        Parameters
+        ----------
+        tight : bool or dict with keys "pad", "w_pad", "h_pad", "rect" or None
+            If a bool, sets whether to call `.Figure.tight_layout` upon drawing.
+            If ``None``, use :rc:`figure.autolayout` instead.
+            If a dict, pass it as kwargs to `.Figure.tight_layout`, overriding the
+            default paddings.
+        """
+        tight = mpl._val_or_rc(tight, 'figure.autolayout')
+        _tight = 'tight' if bool(tight) else 'none'
+        _tight_parameters = tight if isinstance(tight, dict) else {}
+        self.set_layout_engine(_tight, **_tight_parameters)
+        self.stale = True
 
-        t.update(override)
-        self._set_artist_props(t)
-        self.texts.append(t)
-        t._remove_method = lambda h: self.texts.remove(h)
-        return t
+    def get_constrained_layout(self):
+        """
+        Return whether constrained layout is being used.
 
-    def _set_artist_props(self, a):
-        if a != self:
-            a.set_figure(self)
-        a.set_transform(self.transFigure)
+        See :ref:`constrainedlayout_guide`.
+        """
+        return isinstance(self.get_layout_engine(), ConstrainedLayoutEngine)
 
-    @docstring.dedent_interpd
-    def gca(self, **kwargs):
+    @_api.deprecated("3.6", alternative="set_layout_engine('constrained')",
+                     pending=True)
+    def set_constrained_layout(self, constrained):
         """
-        Return the current axes, creating one if necessary
+        Set whether ``constrained_layout`` is used upon drawing.
 
-        The following kwargs are supported for ensuring the returned axes
-        adheres to the given projection etc., and for axes creation if
-        the active axes does not exist:
+        If None, :rc:`figure.constrained_layout.use` value will be used.
 
-        %(Axes)s
+        When providing a dict containing the keys ``w_pad``, ``h_pad``
+        the default ``constrained_layout`` paddings will be
+        overridden.  These pads are in inches and default to 3.0/72.0.
+        ``w_pad`` is the width padding and ``h_pad`` is the height padding.
 
+        Parameters
+        ----------
+        constrained : bool or dict or None
         """
-        ckey, cax = self._axstack.current_key_axes()
-        # if there exists an axes on the stack see if it maches
-        # the desired axes configuration
-        if cax is not None:
+        constrained = mpl._val_or_rc(constrained, 'figure.constrained_layout.use')
+        _constrained = 'constrained' if bool(constrained) else 'none'
+        _parameters = constrained if isinstance(constrained, dict) else {}
+        self.set_layout_engine(_constrained, **_parameters)
+        self.stale = True
 
-            # if no kwargs are given just return the current axes
-            # this is a convenience for gca() on axes such as polar etc.
-            if not kwargs:
-                return cax
+    @_api.deprecated(
+         "3.6", alternative="figure.get_layout_engine().set()",
+         pending=True)
+    def set_constrained_layout_pads(self, **kwargs):
+        """
+        Set padding for ``constrained_layout``.
 
-            # if the user has specified particular projection detail
-            # then build up a key which can represent this
-            else:
-                # we don't want to modify the original kwargs
-                # so take a copy so that we can do what we like to it
-                kwargs_copy = kwargs.copy()
-                projection_class, _, key = process_projection_requirements(
-                    self, **kwargs_copy)
+        Tip: The parameters can be passed from a dictionary by using
+        ``fig.set_constrained_layout(**pad_dict)``.
 
-                # let the returned axes have any gridspec by removing it from
-                # the key
-                ckey = ckey[1:]
-                key = key[1:]
+        See :ref:`constrainedlayout_guide`.
 
-                # if the cax matches this key then return the axes, otherwise
-                # continue and a new axes will be created
-                if key == ckey and isinstance(cax, projection_class):
-                    return cax
+        Parameters
+        ----------
+        w_pad : float, default: :rc:`figure.constrained_layout.w_pad`
+            Width padding in inches.  This is the pad around Axes
+            and is meant to make sure there is enough room for fonts to
+            look good.  Defaults to 3 pts = 0.04167 inches
 
-        # no axes found, so create one which spans the figure
-        return self.add_subplot(1, 1, 1, **kwargs)
+        h_pad : float, default: :rc:`figure.constrained_layout.h_pad`
+            Height padding in inches. Defaults to 3 pts.
 
-    def sca(self, a):
-        'Set the current axes to be a and return a'
-        self._axstack.bubble(a)
-        for func in self._axobservers:
-            func(self)
-        return a
+        wspace : float, default: :rc:`figure.constrained_layout.wspace`
+            Width padding between subplots, expressed as a fraction of the
+            subplot width.  The total padding ends up being w_pad + wspace.
+
+        hspace : float, default: :rc:`figure.constrained_layout.hspace`
+            Height padding between subplots, expressed as a fraction of the
+            subplot width. The total padding ends up being h_pad + hspace.
 
-    def _gci(self):
-        """
-        helper for :func:`~matplotlib.pyplot.gci`;
-        do not use elsewhere.
         """
-        # Look first for an image in the current Axes:
-        cax = self._axstack.current_key_axes()[1]
-        if cax is None:
-            return None
-        im = cax._gci()
-        if im is not None:
-            return im
+        if isinstance(self.get_layout_engine(), ConstrainedLayoutEngine):
+            self.get_layout_engine().set(**kwargs)
 
-        # If there is no image in the current Axes, search for
-        # one in a previously created Axes.  Whether this makes
-        # sense is debatable, but it is the documented behavior.
-        for ax in reversed(self.axes):
-            im = ax._gci()
-            if im is not None:
-                return im
-        return None
+    @_api.deprecated("3.6", alternative="fig.get_layout_engine().get()",
+                     pending=True)
+    def get_constrained_layout_pads(self, relative=False):
+        """
+        Get padding for ``constrained_layout``.
 
-    def __getstate__(self):
-        state = self.__dict__.copy()
-        # the axobservers cannot currently be pickled.
-        # Additionally, the canvas cannot currently be pickled, but this has
-        # the benefit of meaning that a figure can be detached from one canvas,
-        # and re-attached to another.
-        for attr_to_pop in ('_axobservers', 'show',
-                            'canvas', '_cachedRenderer'):
-            state.pop(attr_to_pop, None)
+        Returns a list of ``w_pad, h_pad`` in inches and
+        ``wspace`` and ``hspace`` as fractions of the subplot.
+        All values are None if ``constrained_layout`` is not used.
 
-        # add version information to the state
-        state['__mpl_version__'] = _mpl_version
+        See :ref:`constrainedlayout_guide`.
 
-        # check to see if the figure has a manager and whether it is registered
-        # with pyplot
-        if getattr(self.canvas, 'manager', None) is not None:
-            manager = self.canvas.manager
-            import matplotlib._pylab_helpers
-            if manager in list(six.itervalues(
-                    matplotlib._pylab_helpers.Gcf.figs)):
-                state['_restore_to_pylab'] = True
+        Parameters
+        ----------
+        relative : bool
+            If `True`, then convert from inches to figure relative.
+        """
+        if not isinstance(self.get_layout_engine(), ConstrainedLayoutEngine):
+            return None, None, None, None
+        info = self.get_layout_engine().get()
+        w_pad = info['w_pad']
+        h_pad = info['h_pad']
+        wspace = info['wspace']
+        hspace = info['hspace']
 
-        return state
+        if relative and (w_pad is not None or h_pad is not None):
+            renderer = self._get_renderer()
+            dpi = renderer.dpi
+            w_pad = w_pad * dpi / renderer.width
+            h_pad = h_pad * dpi / renderer.height
 
-    def __setstate__(self, state):
-        version = state.pop('__mpl_version__')
-        restore_to_pylab = state.pop('_restore_to_pylab', False)
+        return w_pad, h_pad, wspace, hspace
 
-        if version != _mpl_version:
-            import warnings
-            warnings.warn("This figure was saved with matplotlib version %s "
-                          "and is unlikely to function correctly." %
-                          (version, ))
+    def set_canvas(self, canvas):
+        """
+        Set the canvas that contains the figure
 
-        self.__dict__ = state
+        Parameters
+        ----------
+        canvas : FigureCanvas
+        """
+        self.canvas = canvas
 
-        # re-initialise some of the unstored state information
-        self._axobservers = []
-        self.canvas = None
+    @_docstring.interpd
+    def figimage(self, X, xo=0, yo=0, alpha=None, norm=None, cmap=None,
+                 vmin=None, vmax=None, origin=None, resize=False, *,
+                 colorizer=None, **kwargs):
+        """
+        Add a non-resampled image to the figure.
 
-        if restore_to_pylab:
-            # lazy import to avoid circularity
-            import matplotlib.pyplot as plt
-            import matplotlib._pylab_helpers as pylab_helpers
-            allnums = plt.get_fignums()
-            num = max(allnums) + 1 if allnums else 1
-            mgr = plt._backend_mod.new_figure_manager_given_figure(num, self)
+        The image is attached to the lower or upper left corner depending on
+        *origin*.
 
-            # XXX The following is a copy and paste from pyplot. Consider
-            # factoring to pylab_helpers
+        Parameters
+        ----------
+        X
+            The image data. This is an array of one of the following shapes:
 
-            if self.get_label():
-                mgr.set_window_title(self.get_label())
+            - (M, N): an image with scalar data.  Color-mapping is controlled
+              by *cmap*, *norm*, *vmin*, and *vmax*.
+            - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).
+            - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),
+              i.e. including transparency.
 
-            # make this figure current on button press event
-            def make_active(event):
-                pylab_helpers.Gcf.set_active(mgr)
+        xo, yo : int
+            The *x*/*y* image offset in pixels.
 
-            mgr._cidgcf = mgr.canvas.mpl_connect('button_press_event',
-                                                 make_active)
+        alpha : None or float
+            The alpha blending value.
 
-            pylab_helpers.Gcf.set_active(mgr)
-            self.number = num
+        %(cmap_doc)s
 
-            plt.draw_if_interactive()
+            This parameter is ignored if *X* is RGB(A).
 
-    def add_axobserver(self, func):
-        'whenever the axes state change, ``func(self)`` will be called'
-        self._axobservers.append(func)
+        %(norm_doc)s
 
-    def savefig(self, *args, **kwargs):
-        """
-        Save the current figure.
+            This parameter is ignored if *X* is RGB(A).
 
-        Call signature::
+        %(vmin_vmax_doc)s
 
-          savefig(fname, dpi=None, facecolor='w', edgecolor='w',
-                  orientation='portrait', papertype=None, format=None,
-                  transparent=False, bbox_inches=None, pad_inches=0.1,
-                  frameon=None)
+            This parameter is ignored if *X* is RGB(A).
 
-        The output formats available depend on the backend being used.
+        origin : {'upper', 'lower'}, default: :rc:`image.origin`
+            Indicates where the [0, 0] index of the array is in the upper left
+            or lower left corner of the Axes.
 
-        Arguments:
+        resize : bool
+            If *True*, resize the figure to match the given image size.
 
-          *fname*:
-            A string containing a path to a filename, or a Python
-            file-like object, or possibly some backend-dependent object
-            such as :class:`~matplotlib.backends.backend_pdf.PdfPages`.
+        %(colorizer_doc)s
 
-            If *format* is *None* and *fname* is a string, the output
-            format is deduced from the extension of the filename. If
-            the filename has no extension, the value of the rc parameter
-            ``savefig.format`` is used.
+            This parameter is ignored if *X* is RGB(A).
 
-            If *fname* is not a string, remember to specify *format* to
-            ensure that the correct backend is used.
+        Returns
+        -------
+        `matplotlib.image.FigureImage`
 
-        Keyword arguments:
+        Other Parameters
+        ----------------
+        **kwargs
+            Additional kwargs are `.Artist` kwargs passed on to `.FigureImage`.
 
-          *dpi*: [ *None* | ``scalar > 0`` ]
-            The resolution in dots per inch.  If *None* it will default to
-            the value ``savefig.dpi`` in the matplotlibrc file.
+        Notes
+        -----
+        figimage complements the Axes image (`~matplotlib.axes.Axes.imshow`)
+        which will be resampled to fit the current Axes.  If you want
+        a resampled image to fill the entire figure, you can define an
+        `~matplotlib.axes.Axes` with extent [0, 0, 1, 1].
 
-          *facecolor*, *edgecolor*:
-            the colors of the figure rectangle
+        Examples
+        --------
+        ::
 
-          *orientation*: [ 'landscape' | 'portrait' ]
-            not supported on all backends; currently only on postscript output
+            f = plt.figure()
+            nx = int(f.get_figwidth() * f.dpi)
+            ny = int(f.get_figheight() * f.dpi)
+            data = np.random.random((ny, nx))
+            f.figimage(data)
+            plt.show()
+        """
+        if resize:
+            dpi = self.get_dpi()
+            figsize = [x / dpi for x in (X.shape[1], X.shape[0])]
+            self.set_size_inches(figsize, forward=True)
 
-          *papertype*:
-            One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
-            'a10', 'b0' through 'b10'. Only supported for postscript
-            output.
+        im = mimage.FigureImage(self, cmap=cmap, norm=norm,
+                                colorizer=colorizer,
+                                offsetx=xo, offsety=yo,
+                                origin=origin, **kwargs)
+        im.stale_callback = _stale_figure_callback
 
-          *format*:
-            One of the file extensions supported by the active
-            backend.  Most backends support png, pdf, ps, eps and svg.
+        im.set_array(X)
+        im.set_alpha(alpha)
+        if norm is None:
+            im._check_exclusionary_keywords(colorizer, vmin=vmin, vmax=vmax)
+            im.set_clim(vmin, vmax)
+        self.images.append(im)
+        im._remove_method = self.images.remove
+        self.stale = True
+        return im
 
-          *transparent*:
-            If *True*, the axes patches will all be transparent; the
-            figure patch will also be transparent unless facecolor
-            and/or edgecolor are specified via kwargs.
-            This is useful, for example, for displaying
-            a plot on top of a colored background on a web page.  The
-            transparency of these patches will be restored to their
-            original values upon exit of this function.
+    def set_size_inches(self, w, h=None, forward=True):
+        """
+        Set the figure size in inches.
 
-          *frameon*:
-            If *True*, the figure patch will be colored, if *False*, the
-            figure background will be transparent.  If not provided, the
-            rcParam 'savefig.frameon' will be used.
+        Call signatures::
 
-          *bbox_inches*:
-            Bbox in inches. Only the given portion of the figure is
-            saved. If 'tight', try to figure out the tight bbox of
-            the figure.
+             fig.set_size_inches(w, h)  # OR
+             fig.set_size_inches((w, h))
 
-          *pad_inches*:
-            Amount of padding around the figure when bbox_inches is
-            'tight'.
+        Parameters
+        ----------
+        w : (float, float) or float
+            Width and height in inches (if height not specified as a separate
+            argument) or width.
+        h : float
+            Height in inches.
+        forward : bool, default: True
+            If ``True``, the canvas size is automatically updated, e.g.,
+            you can resize the figure window from the shell.
 
-          *bbox_extra_artists*:
-            A list of extra artists that will be considered when the
-            tight bbox is calculated.
+        See Also
+        --------
+        matplotlib.figure.Figure.get_size_inches
+        matplotlib.figure.Figure.set_figwidth
+        matplotlib.figure.Figure.set_figheight
+
+        Notes
+        -----
+        To transform from pixels to inches divide by `Figure.dpi`.
+        """
+        if h is None:  # Got called with a single pair as argument.
+            w, h = w
+        size = np.array([w, h])
+        if not np.isfinite(size).all() or (size < 0).any():
+            raise ValueError(f'figure size must be positive finite not {size}')
+        self.bbox_inches.p1 = size
+        if forward:
+            manager = self.canvas.manager
+            if manager is not None:
+                manager.resize(*(size * self.dpi).astype(int))
+        self.stale = True
 
+    def get_size_inches(self):
         """
+        Return the current size of the figure in inches.
 
-        kwargs.setdefault('dpi', rcParams['savefig.dpi'])
-        frameon = kwargs.pop('frameon', rcParams['savefig.frameon'])
-        transparent = kwargs.pop('transparent',
-                                 rcParams['savefig.transparent'])
+        Returns
+        -------
+        ndarray
+           The size (width, height) of the figure in inches.
 
-        if transparent:
-            kwargs.setdefault('facecolor', 'none')
-            kwargs.setdefault('edgecolor', 'none')
-            original_axes_colors = []
-            for ax in self.axes:
-                patch = ax.patch
-                original_axes_colors.append((patch.get_facecolor(),
-                                             patch.get_edgecolor()))
-                patch.set_facecolor('none')
-                patch.set_edgecolor('none')
-        else:
-            kwargs.setdefault('facecolor', rcParams['savefig.facecolor'])
-            kwargs.setdefault('edgecolor', rcParams['savefig.edgecolor'])
+        See Also
+        --------
+        matplotlib.figure.Figure.set_size_inches
+        matplotlib.figure.Figure.get_figwidth
+        matplotlib.figure.Figure.get_figheight
 
-        if frameon:
-            original_frameon = self.get_frameon()
-            self.set_frameon(frameon)
+        Notes
+        -----
+        The size in pixels can be obtained by multiplying with `Figure.dpi`.
+        """
+        return np.array(self.bbox_inches.p1)
 
-        self.canvas.print_figure(*args, **kwargs)
+    def get_figwidth(self):
+        """Return the figure width in inches."""
+        return self.bbox_inches.width
 
-        if frameon:
-            self.set_frameon(original_frameon)
+    def get_figheight(self):
+        """Return the figure height in inches."""
+        return self.bbox_inches.height
 
-        if transparent:
-            for ax, cc in zip(self.axes, original_axes_colors):
-                ax.patch.set_facecolor(cc[0])
-                ax.patch.set_edgecolor(cc[1])
+    def get_dpi(self):
+        """Return the resolution in dots per inch as a float."""
+        return self.dpi
 
-    @docstring.dedent_interpd
-    def colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw):
+    def set_dpi(self, val):
         """
-        Create a colorbar for a ScalarMappable instance, *mappable*.
+        Set the resolution of the figure in dots-per-inch.
 
-        Documentation for the pylab thin wrapper:
-        %(colorbar_doc)s
+        Parameters
+        ----------
+        val : float
         """
-        if ax is None:
-            ax = self.gca()
-
-        # Store the value of gca so that we can set it back later on.
-        current_ax = self.gca()
+        self.dpi = val
+        self.stale = True
 
-        if cax is None:
-            if use_gridspec and isinstance(ax, SubplotBase):
-                cax, kw = cbar.make_axes_gridspec(ax, **kw)
-            else:
-                cax, kw = cbar.make_axes(ax, **kw)
-        cax.hold(True)
-        cb = cbar.colorbar_factory(cax, mappable, **kw)
+    def set_figwidth(self, val, forward=True):
+        """
+        Set the width of the figure in inches.
 
-        self.sca(current_ax)
-        return cb
+        Parameters
+        ----------
+        val : float
+        forward : bool
+            See `set_size_inches`.
 
-    def subplots_adjust(self, *args, **kwargs):
+        See Also
+        --------
+        matplotlib.figure.Figure.set_figheight
+        matplotlib.figure.Figure.set_size_inches
         """
-        Call signature::
+        self.set_size_inches(val, self.get_figheight(), forward=forward)
 
-          subplots_adjust(left=None, bottom=None, right=None, top=None,
-                              wspace=None, hspace=None)
+    def set_figheight(self, val, forward=True):
+        """
+        Set the height of the figure in inches.
 
-        Update the :class:`SubplotParams` with *kwargs* (defaulting to rc when
-        *None*) and update the subplot locations
+        Parameters
+        ----------
+        val : float
+        forward : bool
+            See `set_size_inches`.
 
+        See Also
+        --------
+        matplotlib.figure.Figure.set_figwidth
+        matplotlib.figure.Figure.set_size_inches
         """
-        self.subplotpars.update(*args, **kwargs)
-        for ax in self.axes:
-            if not isinstance(ax, SubplotBase):
-                # Check if sharing a subplots axis
-                if (ax._sharex is not None and
-                    isinstance(ax._sharex, SubplotBase)):
-                    ax._sharex.update_params()
-                    ax.set_position(ax._sharex.figbox)
-                elif (ax._sharey is not None and
-                      isinstance(ax._sharey, SubplotBase)):
-                    ax._sharey.update_params()
-                    ax.set_position(ax._sharey.figbox)
-            else:
-                ax.update_params()
-                ax.set_position(ax.figbox)
+        self.set_size_inches(self.get_figwidth(), val, forward=forward)
 
-    def ginput(self, n=1, timeout=30, show_clicks=True, mouse_add=1,
-               mouse_pop=3, mouse_stop=2):
-        """
-        Call signature::
+    def clear(self, keep_observers=False):
+        # docstring inherited
+        super().clear(keep_observers=keep_observers)
+        # FigureBase.clear does not clear toolbars, as
+        # only Figure can have toolbars
+        toolbar = self.canvas.toolbar
+        if toolbar is not None:
+            toolbar.update()
 
-          ginput(self, n=1, timeout=30, show_clicks=True,
-                 mouse_add=1, mouse_pop=3, mouse_stop=2)
+    @_finalize_rasterization
+    @allow_rasterization
+    def draw(self, renderer):
+        # docstring inherited
+        if not self.get_visible():
+            return
 
-        Blocking call to interact with the figure.
+        with self._render_lock:
 
-        This will wait for *n* clicks from the user and return a list of the
-        coordinates of each click.
+            artists = self._get_draw_artists(renderer)
+            try:
+                renderer.open_group('figure', gid=self.get_gid())
+                if self.axes and self.get_layout_engine() is not None:
+                    try:
+                        self.get_layout_engine().execute(self)
+                    except ValueError:
+                        pass
+                        # ValueError can occur when resizing a window.
 
-        If *timeout* is zero or negative, does not timeout.
+                self.patch.draw(renderer)
+                mimage._draw_list_compositing_images(
+                    renderer, self, artists, self.suppressComposite)
 
-        If *n* is zero or negative, accumulate clicks until a middle click
-        (or potentially both mouse buttons at once) terminates the input.
+                renderer.close_group('figure')
+            finally:
+                self.stale = False
 
-        Right clicking cancels last input.
+            DrawEvent("draw_event", self.canvas, renderer)._process()
 
-        The buttons used for the various actions (adding points, removing
-        points, terminating the inputs) can be overriden via the
-        arguments *mouse_add*, *mouse_pop* and *mouse_stop*, that give
-        the associated mouse button: 1 for left, 2 for middle, 3 for
-        right.
+    def draw_without_rendering(self):
+        """
+        Draw the figure with no output.  Useful to get the final size of
+        artists that require a draw before their size is known (e.g. text).
+        """
+        renderer = _get_renderer(self)
+        with renderer._draw_disabled():
+            self.draw(renderer)
 
-        The keyboard can also be used to select points in case your mouse
-        does not have one or more of the buttons.  The delete and backspace
-        keys act like right clicking (i.e., remove last point), the enter key
-        terminates input and any other key (not already used by the window
-        manager) selects a point.
+    def draw_artist(self, a):
+        """
+        Draw `.Artist` *a* only.
         """
+        a.draw(self.canvas.get_renderer())
 
-        blocking_mouse_input = BlockingMouseInput(self,
-                                                  mouse_add=mouse_add,
-                                                  mouse_pop=mouse_pop,
-                                                  mouse_stop=mouse_stop)
-        return blocking_mouse_input(n=n, timeout=timeout,
-                                    show_clicks=show_clicks)
+    def __getstate__(self):
+        state = super().__getstate__()
 
-    def waitforbuttonpress(self, timeout=-1):
-        """
-        Call signature::
+        # The canvas cannot currently be pickled, but this has the benefit
+        # of meaning that a figure can be detached from one canvas, and
+        # re-attached to another.
+        state.pop("canvas")
 
-          waitforbuttonpress(self, timeout=-1)
+        # discard any changes to the dpi due to pixel ratio changes
+        state["_dpi"] = state.get('_original_dpi', state['_dpi'])
 
-        Blocking call to interact with the figure.
+        # add version information to the state
+        state['__mpl_version__'] = mpl.__version__
 
-        This will return True is a key was pressed, False if a mouse
-        button was pressed and None if *timeout* was reached without
-        either being pressed.
+        # check whether the figure manager (if any) is registered with pyplot
+        from matplotlib import _pylab_helpers
+        if self.canvas.manager in _pylab_helpers.Gcf.figs.values():
+            state['_restore_to_pylab'] = True
+        return state
 
-        If *timeout* is negative, does not timeout.
-        """
+    def __setstate__(self, state):
+        version = state.pop('__mpl_version__')
+        restore_to_pylab = state.pop('_restore_to_pylab', False)
 
-        blocking_input = BlockingKeyMouseInput(self)
-        return blocking_input(timeout=timeout)
+        if version != mpl.__version__:
+            _api.warn_external(
+                f"This figure was saved with matplotlib version {version} and "
+                f"loaded with {mpl.__version__} so may not function correctly."
+            )
+        self.__dict__ = state
 
-    def get_default_bbox_extra_artists(self):
-        bbox_artists = [artist for artist in self.get_children()
-                        if artist.get_visible()]
-        for ax in self.axes:
-            if ax.get_visible():
-                bbox_artists.extend(ax.get_default_bbox_extra_artists())
-        # we don't want the figure's patch to influence the bbox calculation
-        bbox_artists.remove(self.patch)
-        return bbox_artists
+        # re-initialise some of the unstored state information
+        FigureCanvasBase(self)  # Set self.canvas.
 
-    def get_tightbbox(self, renderer):
-        """
-        Return a (tight) bounding box of the figure in inches.
+        if restore_to_pylab:
+            # lazy import to avoid circularity
+            import matplotlib.pyplot as plt
+            import matplotlib._pylab_helpers as pylab_helpers
+            allnums = plt.get_fignums()
+            num = max(allnums) + 1 if allnums else 1
+            backend = plt._get_backend_mod()
+            mgr = backend.new_figure_manager_given_figure(num, self)
+            pylab_helpers.Gcf._set_new_active_manager(mgr)
+            plt.draw_if_interactive()
+
+        self.stale = True
 
-        It only accounts axes title, axis labels, and axis
-        ticklabels. Needs improvement.
+    def add_axobserver(self, func):
+        """Whenever the Axes state change, ``func(self)`` will be called."""
+        # Connect a wrapper lambda and not func itself, to avoid it being
+        # weakref-collected.
+        self._axobservers.connect("_axes_change_event", lambda arg: func(arg))
+
+    def savefig(self, fname, *, transparent=None, **kwargs):
         """
+        Save the current figure as an image or vector graphic to a file.
 
-        bb = []
-        for ax in self.axes:
-            if ax.get_visible():
-                bb.append(ax.get_tightbbox(renderer))
+        Call signature::
+
+          savefig(fname, *, transparent=None, dpi='figure', format=None,
+                  metadata=None, bbox_inches=None, pad_inches=0.1,
+                  facecolor='auto', edgecolor='auto', backend=None,
+                  **kwargs
+                 )
+
+        The available output formats depend on the backend being used.
+
+        Parameters
+        ----------
+        fname : str or path-like or binary file-like
+            A path, or a Python file-like object, or
+            possibly some backend-dependent object such as
+            `matplotlib.backends.backend_pdf.PdfPages`.
+
+            If *format* is set, it determines the output format, and the file
+            is saved as *fname*.  Note that *fname* is used verbatim, and there
+            is no attempt to make the extension, if any, of *fname* match
+            *format*, and no extension is appended.
+
+            If *format* is not set, then the format is inferred from the
+            extension of *fname*, if there is one.  If *format* is not
+            set and *fname* has no extension, then the file is saved with
+            :rc:`savefig.format` and the appropriate extension is appended to
+            *fname*.
+
+        Other Parameters
+        ----------------
+        transparent : bool, default: :rc:`savefig.transparent`
+            If *True*, the Axes patches will all be transparent; the
+            Figure patch will also be transparent unless *facecolor*
+            and/or *edgecolor* are specified via kwargs.
+
+            If *False* has no effect and the color of the Axes and
+            Figure patches are unchanged (unless the Figure patch
+            is specified via the *facecolor* and/or *edgecolor* keyword
+            arguments in which case those colors are used).
+
+            The transparency of these patches will be restored to their
+            original values upon exit of this function.
 
-        _bbox = Bbox.union([b for b in bb if b.width != 0 or b.height != 0])
+            This is useful, for example, for displaying
+            a plot on top of a colored background on a web page.
+
+        dpi : float or 'figure', default: :rc:`savefig.dpi`
+            The resolution in dots per inch.  If 'figure', use the figure's
+            dpi value.
+
+        format : str
+            The file format, e.g. 'png', 'pdf', 'svg', ... The behavior when
+            this is unset is documented under *fname*.
+
+        metadata : dict, optional
+            Key/value pairs to store in the image metadata. The supported keys
+            and defaults depend on the image format and backend:
+
+            - 'png' with Agg backend: See the parameter ``metadata`` of
+              `~.FigureCanvasAgg.print_png`.
+            - 'pdf' with pdf backend: See the parameter ``metadata`` of
+              `~.backend_pdf.PdfPages`.
+            - 'svg' with svg backend: See the parameter ``metadata`` of
+              `~.FigureCanvasSVG.print_svg`.
+            - 'eps' and 'ps' with PS backend: Only 'Creator' is supported.
+
+            Not supported for 'pgf', 'raw', and 'rgba' as those formats do not support
+            embedding metadata.
+            Does not currently support 'jpg', 'tiff', or 'webp', but may include
+            embedding EXIF metadata in the future.
+
+        bbox_inches : str or `.Bbox`, default: :rc:`savefig.bbox`
+            Bounding box in inches: only the given portion of the figure is
+            saved.  If 'tight', try to figure out the tight bbox of the figure.
+
+        pad_inches : float or 'layout', default: :rc:`savefig.pad_inches`
+            Amount of padding in inches around the figure when bbox_inches is
+            'tight'. If 'layout' use the padding from the constrained or
+            compressed layout engine; ignored if one of those engines is not in
+            use.
+
+        facecolor : :mpltype:`color` or 'auto', default: :rc:`savefig.facecolor`
+            The facecolor of the figure.  If 'auto', use the current figure
+            facecolor.
+
+        edgecolor : :mpltype:`color` or 'auto', default: :rc:`savefig.edgecolor`
+            The edgecolor of the figure.  If 'auto', use the current figure
+            edgecolor.
+
+        backend : str, optional
+            Use a non-default backend to render the file, e.g. to render a
+            png file with the "cairo" backend rather than the default "agg",
+            or a pdf file with the "pgf" backend rather than the default
+            "pdf".  Note that the default backend is normally sufficient.  See
+            :ref:`the-builtin-backends` for a list of valid backends for each
+            file format.  Custom backends can be referenced as "module://...".
+
+        orientation : {'landscape', 'portrait'}
+            Currently only supported by the postscript backend.
+
+        papertype : str
+            One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
+            'a10', 'b0' through 'b10'. Only supported for postscript
+            output.
 
-        bbox_inches = TransformedBbox(_bbox,
-                                      Affine2D().scale(1. / self.dpi))
+        bbox_extra_artists : list of `~matplotlib.artist.Artist`, optional
+            A list of extra artists that will be considered when the
+            tight bbox is calculated.
 
-        return bbox_inches
+        pil_kwargs : dict, optional
+            Additional keyword arguments that are passed to
+            `PIL.Image.Image.save` when saving the figure.
+
+        """
+
+        kwargs.setdefault('dpi', mpl.rcParams['savefig.dpi'])
+        transparent = mpl._val_or_rc(transparent, 'savefig.transparent')
+
+        with ExitStack() as stack:
+            if transparent:
+                def _recursively_make_subfig_transparent(exit_stack, subfig):
+                    exit_stack.enter_context(
+                        subfig.patch._cm_set(
+                            facecolor="none", edgecolor="none"))
+                    for ax in subfig.axes:
+                        exit_stack.enter_context(
+                            ax.patch._cm_set(
+                                facecolor="none", edgecolor="none"))
+                    for sub_subfig in subfig.subfigs:
+                        _recursively_make_subfig_transparent(
+                            exit_stack, sub_subfig)
+
+                def _recursively_make_axes_transparent(exit_stack, ax):
+                    exit_stack.enter_context(
+                        ax.patch._cm_set(facecolor="none", edgecolor="none"))
+                    for child_ax in ax.child_axes:
+                        exit_stack.enter_context(
+                            child_ax.patch._cm_set(
+                                facecolor="none", edgecolor="none"))
+                    for child_childax in ax.child_axes:
+                        _recursively_make_axes_transparent(
+                            exit_stack, child_childax)
+
+                kwargs.setdefault('facecolor', 'none')
+                kwargs.setdefault('edgecolor', 'none')
+                # set subfigure to appear transparent in printed image
+                for subfig in self.subfigs:
+                    _recursively_make_subfig_transparent(stack, subfig)
+                # set Axes to be transparent
+                for ax in self.axes:
+                    _recursively_make_axes_transparent(stack, ax)
+            self.canvas.print_figure(fname, **kwargs)
+
+    def ginput(self, n=1, timeout=30, show_clicks=True,
+               mouse_add=MouseButton.LEFT,
+               mouse_pop=MouseButton.RIGHT,
+               mouse_stop=MouseButton.MIDDLE):
+        """
+        Blocking call to interact with a figure.
+
+        Wait until the user clicks *n* times on the figure, and return the
+        coordinates of each click in a list.
+
+        There are three possible interactions:
+
+        - Add a point.
+        - Remove the most recently added point.
+        - Stop the interaction and return the points added so far.
+
+        The actions are assigned to mouse buttons via the arguments
+        *mouse_add*, *mouse_pop* and *mouse_stop*.
+
+        Parameters
+        ----------
+        n : int, default: 1
+            Number of mouse clicks to accumulate. If negative, accumulate
+            clicks until the input is terminated manually.
+        timeout : float, default: 30 seconds
+            Number of seconds to wait before timing out. If zero or negative
+            will never time out.
+        show_clicks : bool, default: True
+            If True, show a red cross at the location of each click.
+        mouse_add : `.MouseButton` or None, default: `.MouseButton.LEFT`
+            Mouse button used to add points.
+        mouse_pop : `.MouseButton` or None, default: `.MouseButton.RIGHT`
+            Mouse button used to remove the most recently added point.
+        mouse_stop : `.MouseButton` or None, default: `.MouseButton.MIDDLE`
+            Mouse button used to stop input.
+
+        Returns
+        -------
+        list of tuples
+            A list of the clicked (x, y) coordinates.
 
-    def tight_layout(self, renderer=None, pad=1.08, h_pad=None,
-                     w_pad=None, rect=None):
+        Notes
+        -----
+        The keyboard can also be used to select points in case your mouse
+        does not have one or more of the buttons.  The delete and backspace
+        keys act like right-clicking (i.e., remove last point), the enter key
+        terminates input and any other key (not already used by the window
+        manager) selects a point.
         """
-        Adjust subplot parameters to give specified padding.
+        clicks = []
+        marks = []
+
+        def handler(event):
+            is_button = event.name == "button_press_event"
+            is_key = event.name == "key_press_event"
+            # Quit (even if not in infinite mode; this is consistent with
+            # MATLAB and sometimes quite useful, but will require the user to
+            # test how many points were actually returned before using data).
+            if (is_button and event.button == mouse_stop
+                    or is_key and event.key in ["escape", "enter"]):
+                self.canvas.stop_event_loop()
+            # Pop last click.
+            elif (is_button and event.button == mouse_pop
+                  or is_key and event.key in ["backspace", "delete"]):
+                if clicks:
+                    clicks.pop()
+                    if show_clicks:
+                        marks.pop().remove()
+                        self.canvas.draw()
+            # Add new click.
+            elif (is_button and event.button == mouse_add
+                  # On macOS/gtk, some keys return None.
+                  or is_key and event.key is not None):
+                if event.inaxes:
+                    clicks.append((event.xdata, event.ydata))
+                    _log.info("input %i: %f, %f",
+                              len(clicks), event.xdata, event.ydata)
+                    if show_clicks:
+                        line = mpl.lines.Line2D([event.xdata], [event.ydata],
+                                                marker="+", color="r")
+                        event.inaxes.add_line(line)
+                        marks.append(line)
+                        self.canvas.draw()
+            if len(clicks) == n and n > 0:
+                self.canvas.stop_event_loop()
+
+        _blocking_input.blocking_input_loop(
+            self, ["button_press_event", "key_press_event"], timeout, handler)
+
+        # Cleanup.
+        for mark in marks:
+            mark.remove()
+        self.canvas.draw()
+
+        return clicks
 
-        Parameters:
+    def waitforbuttonpress(self, timeout=-1):
+        """
+        Blocking call to interact with the figure.
 
-          *pad* : float
-            padding between the figure edge and the edges of subplots,
-            as a fraction of the font-size.
-          *h_pad*, *w_pad* : float
-            padding (height/width) between edges of adjacent subplots.
-            Defaults to `pad_inches`.
-          *rect* : if rect is given, it is interpreted as a rectangle
-            (left, bottom, right, top) in the normalized figure
-            coordinate that the whole subplots area (including
-            labels) will fit into. Default is (0, 0, 1, 1).
+        Wait for user input and return True if a key was pressed, False if a
+        mouse button was pressed and None if no input was given within
+        *timeout* seconds.  Negative values deactivate *timeout*.
         """
+        event = None
 
-        from .tight_layout import (get_renderer, get_tight_layout_figure,
-                                   get_subplotspec_list)
+        def handler(ev):
+            nonlocal event
+            event = ev
+            self.canvas.stop_event_loop()
 
-        subplotspec_list = get_subplotspec_list(self.axes)
-        if None in subplotspec_list:
-            warnings.warn("This figure includes Axes that are not "
-                          "compatible with tight_layout, so its "
-                          "results might be incorrect.")
+        _blocking_input.blocking_input_loop(
+            self, ["button_press_event", "key_press_event"], timeout, handler)
 
-        if renderer is None:
-            renderer = get_renderer(self)
+        return None if event is None else event.name == "key_press_event"
+
+    def tight_layout(self, *, pad=1.08, h_pad=None, w_pad=None, rect=None):
+        """
+        Adjust the padding between and around subplots.
+
+        To exclude an artist on the Axes from the bounding box calculation
+        that determines the subplot parameters (i.e. legend, or annotation),
+        set ``a.set_in_layout(False)`` for that artist.
 
-        kwargs = get_tight_layout_figure(self, self.axes, subplotspec_list,
-                                         renderer,
-                                         pad=pad, h_pad=h_pad, w_pad=w_pad,
-                                         rect=rect)
+        Parameters
+        ----------
+        pad : float, default: 1.08
+            Padding between the figure edge and the edges of subplots,
+            as a fraction of the font size.
+        h_pad, w_pad : float, default: *pad*
+            Padding (height/width) between edges of adjacent subplots,
+            as a fraction of the font size.
+        rect : tuple (left, bottom, right, top), default: (0, 0, 1, 1)
+            A rectangle in normalized figure coordinates into which the whole
+            subplots area (including labels) will fit.
 
-        self.subplots_adjust(**kwargs)
+        See Also
+        --------
+        .Figure.set_layout_engine
+        .pyplot.tight_layout
+        """
+        # note that here we do not permanently set the figures engine to
+        # tight_layout but rather just perform the layout in place and remove
+        # any previous engines.
+        engine = TightLayoutEngine(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
+        try:
+            previous_engine = self.get_layout_engine()
+            self.set_layout_engine(engine)
+            engine.execute(self)
+            if previous_engine is not None and not isinstance(
+                previous_engine, (TightLayoutEngine, PlaceHolderLayoutEngine)
+            ):
+                _api.warn_external('The figure layout has changed to tight')
+        finally:
+            self.set_layout_engine('none')
 
 
 def figaspect(arg):
     """
-    Create a figure with specified aspect ratio.  If *arg* is a number,
-    use that aspect ratio.  If *arg* is an array, figaspect will
-    determine the width and height for a figure that would fit array
-    preserving aspect ratio.  The figure width, height in inches are
-    returned.  Be sure to create an axes with equal with and height,
-    e.g.,
-
-    Example usage::
-
-      # make a figure twice as tall as it is wide
-      w, h = figaspect(2.)
-      fig = Figure(figsize=(w,h))
-      ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
-      ax.imshow(A, **kwargs)
-
-
-      # make a figure with the proper aspect for an array
-      A = rand(5,3)
-      w, h = figaspect(A)
-      fig = Figure(figsize=(w,h))
-      ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
-      ax.imshow(A, **kwargs)
-
-    Thanks to Fernando Perez for this function
+    Calculate the width and height for a figure with a specified aspect ratio.
+
+    While the height is taken from :rc:`figure.figsize`, the width is
+    adjusted to match the desired aspect ratio. Additionally, it is ensured
+    that the width is in the range [4., 16.] and the height is in the range
+    [2., 16.]. If necessary, the default height is adjusted to ensure this.
+
+    Parameters
+    ----------
+    arg : float or 2D array
+        If a float, this defines the aspect ratio (i.e. the ratio height /
+        width).
+        In case of an array the aspect ratio is number of rows / number of
+        columns, so that the array could be fitted in the figure undistorted.
+
+    Returns
+    -------
+    size : (2,) array
+        The width and height of the figure in inches.
+
+    Notes
+    -----
+    If you want to create an Axes within the figure, that still preserves the
+    aspect ratio, be sure to create it with equal width and height. See
+    examples below.
+
+    Thanks to Fernando Perez for this function.
+
+    Examples
+    --------
+    Make a figure twice as tall as it is wide::
+
+        w, h = figaspect(2.)
+        fig = Figure(figsize=(w, h))
+        ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
+        ax.imshow(A, **kwargs)
+
+    Make a figure with the proper aspect for an array::
+
+        A = rand(5, 3)
+        w, h = figaspect(A)
+        fig = Figure(figsize=(w, h))
+        ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
+        ax.imshow(A, **kwargs)
     """
 
-    isarray = hasattr(arg, 'shape')
+    isarray = hasattr(arg, 'shape') and not np.isscalar(arg)
 
     # min/max sizes to respect when autoscaling.  If John likes the idea, they
     # could become rc parameters, for now they're hardwired.
     figsize_min = np.array((4.0, 2.0))  # min length for width/height
     figsize_max = np.array((16.0, 16.0))  # max length for width/height
-    #figsize_min = rcParams['figure.figsize_min']
-    #figsize_max = rcParams['figure.figsize_max']
 
     # Extract the aspect ratio of the array
     if isarray:
         nr, nc = arg.shape[:2]
-        arr_ratio = float(nr) / nc
+        arr_ratio = nr / nc
     else:
-        arr_ratio = float(arg)
+        arr_ratio = arg
 
     # Height of user figure defaults
-    fig_height = rcParams['figure.figsize'][1]
+    fig_height = mpl.rcParams['figure.figsize'][1]
 
     # New size for the figure, keeping the aspect ratio of the caller
     newsize = np.array((fig_height / arr_ratio, fig_height))
@@ -1727,4 +3723,45 @@ def figaspect(arg):
     newsize = np.clip(newsize, figsize_min, figsize_max)
     return newsize
 
-docstring.interpd.update(Figure=martist.kwdoc(Figure))
+
+def _parse_figsize(figsize, dpi):
+    """
+    Convert a figsize expression to (width, height) in inches.
+
+    Parameters
+    ----------
+    figsize : (float, float) or (float, float, str)
+        This can be
+
+        - a tuple ``(width, height, unit)``, where *unit* is one of "in" (inch),
+          "cm" (centimenter), "px" (pixel).
+        - a tuple ``(width, height)``, which is interpreted in inches, i.e. as
+          ``(width, height, "in")``.
+
+    dpi : float
+        The dots-per-inch; used for converting 'px' to 'in'.
+    """
+    num_parts = len(figsize)
+    if num_parts == 2:
+        return figsize
+    elif num_parts == 3:
+        x, y, unit = figsize
+        if unit == 'in':
+            pass
+        elif unit == 'cm':
+            x /= 2.54
+            y /= 2.54
+        elif unit == 'px':
+            x /= dpi
+            y /= dpi
+        else:
+            raise ValueError(
+                f"Invalid unit {unit!r} in 'figsize'; "
+                "supported units are 'in', 'cm', 'px'"
+            )
+        return x, y
+    else:
+        raise ValueError(
+            "Invalid figsize format, expected (x, y) or (x, y, unit) but got "
+            f"{figsize!r}"
+        )
diff --git a/lib/matplotlib/figure.pyi b/lib/matplotlib/figure.pyi
new file mode 100644
index 000000000000..e7c5175d8af9
--- /dev/null
+++ b/lib/matplotlib/figure.pyi
@@ -0,0 +1,434 @@
+from collections.abc import Callable, Hashable, Iterable, Sequence
+import os
+from typing import Any, IO, Literal, TypeVar, overload
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+from matplotlib.artist import Artist
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import (
+    FigureCanvasBase,
+    MouseButton,
+    MouseEvent,
+    RendererBase,
+)
+from matplotlib.colors import Colormap, Normalize
+from matplotlib.colorbar import Colorbar
+from matplotlib.colorizer import ColorizingArtist, Colorizer
+from matplotlib.cm import ScalarMappable
+from matplotlib.gridspec import GridSpec, SubplotSpec, SubplotParams as SubplotParams
+from matplotlib.image import _ImageBase, FigureImage
+from matplotlib.layout_engine import LayoutEngine
+from matplotlib.legend import Legend
+from matplotlib.lines import Line2D
+from matplotlib.patches import Rectangle, Patch
+from matplotlib.text import Text
+from matplotlib.transforms import Affine2D, Bbox, BboxBase, Transform
+from mpl_toolkits.mplot3d import Axes3D
+
+from .typing import ColorType, HashableList
+
+_T = TypeVar("_T")
+
+class FigureBase(Artist):
+    artists: list[Artist]
+    lines: list[Line2D]
+    patches: list[Patch]
+    texts: list[Text]
+    images: list[_ImageBase]
+    legends: list[Legend]
+    subfigs: list[SubFigure]
+    stale: bool
+    suppressComposite: bool | None
+    def __init__(self, **kwargs) -> None: ...
+    def autofmt_xdate(
+        self,
+        bottom: float = ...,
+        rotation: int = ...,
+        ha: Literal["left", "center", "right"] = ...,
+        which: Literal["major", "minor", "both"] = ...,
+    ) -> None: ...
+    def get_children(self) -> list[Artist]: ...
+    def contains(self, mouseevent: MouseEvent) -> tuple[bool, dict[Any, Any]]: ...
+    def suptitle(self, t: str, **kwargs) -> Text: ...
+    def get_suptitle(self) -> str: ...
+    def supxlabel(self, t: str, **kwargs) -> Text: ...
+    def get_supxlabel(self) -> str: ...
+    def supylabel(self, t: str, **kwargs) -> Text: ...
+    def get_supylabel(self) -> str: ...
+    def get_edgecolor(self) -> ColorType: ...
+    def get_facecolor(self) -> ColorType: ...
+    def get_frameon(self) -> bool: ...
+    def set_linewidth(self, linewidth: float) -> None: ...
+    def get_linewidth(self) -> float: ...
+    def set_edgecolor(self, color: ColorType) -> None: ...
+    def set_facecolor(self, color: ColorType) -> None: ...
+    @overload
+    def get_figure(self, root: Literal[True]) -> Figure: ...
+    @overload
+    def get_figure(self, root: Literal[False]) -> Figure | SubFigure: ...
+    @overload
+    def get_figure(self, root: bool = ...) -> Figure | SubFigure: ...
+    def set_frameon(self, b: bool) -> None: ...
+    @property
+    def frameon(self) -> bool: ...
+    @frameon.setter
+    def frameon(self, b: bool) -> None: ...
+    def add_artist(self, artist: Artist, clip: bool = ...) -> Artist: ...
+    @overload
+    def add_axes(self, ax: Axes) -> Axes: ...
+    @overload
+    def add_axes(
+        self,
+        rect: tuple[float, float, float, float],
+        projection: None | str = ...,
+        polar: bool = ...,
+        **kwargs
+    ) -> Axes: ...
+
+    # TODO: docstring indicates SubplotSpec a valid arg, but none of the listed signatures appear to be that
+    @overload
+    def add_subplot(self, *args, projection: Literal["3d"], **kwargs) -> Axes3D: ...
+    @overload
+    def add_subplot(
+        self, nrows: int, ncols: int, index: int | tuple[int, int], **kwargs
+    ) -> Axes: ...
+    @overload
+    def add_subplot(self, pos: int, **kwargs) -> Axes: ...
+    @overload
+    def add_subplot(self, ax: Axes, **kwargs) -> Axes: ...
+    @overload
+    def add_subplot(self, ax: SubplotSpec, **kwargs) -> Axes: ...
+    @overload
+    def add_subplot(self, **kwargs) -> Axes: ...
+    @overload
+    def subplots(
+        self,
+        nrows: Literal[1] = ...,
+        ncols: Literal[1] = ...,
+        *,
+        sharex: bool | Literal["none", "all", "row", "col"] = ...,
+        sharey: bool | Literal["none", "all", "row", "col"] = ...,
+        squeeze: Literal[True] = ...,
+        width_ratios: Sequence[float] | None = ...,
+        height_ratios: Sequence[float] | None = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> Axes: ...
+    @overload
+    def subplots(
+        self,
+        nrows: int = ...,
+        ncols: int = ...,
+        *,
+        sharex: bool | Literal["none", "all", "row", "col"] = ...,
+        sharey: bool | Literal["none", "all", "row", "col"] = ...,
+        squeeze: Literal[False],
+        width_ratios: Sequence[float] | None = ...,
+        height_ratios: Sequence[float] | None = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> np.ndarray: ...  # TODO numpy/numpy#24738
+    @overload
+    def subplots(
+        self,
+        nrows: int = ...,
+        ncols: int = ...,
+        *,
+        sharex: bool | Literal["none", "all", "row", "col"] = ...,
+        sharey: bool | Literal["none", "all", "row", "col"] = ...,
+        squeeze: bool = ...,
+        width_ratios: Sequence[float] | None = ...,
+        height_ratios: Sequence[float] | None = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> Any: ...
+    def delaxes(self, ax: Axes) -> None: ...
+    def clear(self, keep_observers: bool = ...) -> None: ...
+    def clf(self, keep_observers: bool = ...) -> None: ...
+
+    @overload
+    def legend(self) -> Legend: ...
+    @overload
+    def legend(self, handles: Iterable[Artist], labels: Iterable[str], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, *, handles: Iterable[Artist], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, labels: Iterable[str], **kwargs) -> Legend: ...
+    @overload
+    def legend(self, **kwargs) -> Legend: ...
+
+    def text(
+        self,
+        x: float,
+        y: float,
+        s: str,
+        fontdict: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> Text: ...
+    def colorbar(
+        self,
+        mappable: ScalarMappable | ColorizingArtist,
+        cax: Axes | None = ...,
+        ax: Axes | Iterable[Axes] | None = ...,
+        use_gridspec: bool = ...,
+        **kwargs
+    ) -> Colorbar: ...
+    def subplots_adjust(
+        self,
+        left: float | None = ...,
+        bottom: float | None = ...,
+        right: float | None = ...,
+        top: float | None = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+    ) -> None: ...
+    def align_xlabels(self, axs: Iterable[Axes] | None = ...) -> None: ...
+    def align_ylabels(self, axs: Iterable[Axes] | None = ...) -> None: ...
+    def align_titles(self, axs: Iterable[Axes] | None = ...) -> None: ...
+    def align_labels(self, axs: Iterable[Axes] | None = ...) -> None: ...
+    def add_gridspec(self, nrows: int = ..., ncols: int = ..., **kwargs) -> GridSpec: ...
+    @overload
+    def subfigures(
+        self,
+        nrows: int = ...,
+        ncols: int = ...,
+        squeeze: Literal[False] = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        **kwargs
+    ) -> np.ndarray: ...
+    @overload
+    def subfigures(
+        self,
+        nrows: int = ...,
+        ncols: int = ...,
+        squeeze: Literal[True] = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        **kwargs
+    ) -> np.ndarray | SubFigure: ...
+    def add_subfigure(self, subplotspec: SubplotSpec, **kwargs) -> SubFigure: ...
+    def sca(self, a: Axes) -> Axes: ...
+    def gca(self) -> Axes: ...
+    def _gci(self) -> ColorizingArtist | None: ...
+    def _process_projection_requirements(
+        self, *, axes_class=None, polar=False, projection=None, **kwargs
+    ) -> tuple[type[Axes], dict[str, Any]]: ...
+    def get_default_bbox_extra_artists(self) -> list[Artist]: ...
+    def get_tightbbox(
+        self,
+        renderer: RendererBase | None = ...,
+        *,
+        bbox_extra_artists: Iterable[Artist] | None = ...,
+    ) -> Bbox: ...
+    @overload
+    def subplot_mosaic(
+        self,
+        mosaic: str,
+        *,
+        sharex: bool = ...,
+        sharey: bool = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        empty_sentinel: str = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        per_subplot_kw: dict[str | tuple[str, ...], dict[str, Any]] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> dict[str, Axes]: ...
+    @overload
+    def subplot_mosaic(
+        self,
+        mosaic: list[HashableList[_T]],
+        *,
+        sharex: bool = ...,
+        sharey: bool = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        empty_sentinel: _T = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        per_subplot_kw: dict[_T | tuple[_T, ...], dict[str, Any]] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> dict[_T, Axes]: ...
+    @overload
+    def subplot_mosaic(
+        self,
+        mosaic: list[HashableList[Hashable]],
+        *,
+        sharex: bool = ...,
+        sharey: bool = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        empty_sentinel: Any = ...,
+        subplot_kw: dict[str, Any] | None = ...,
+        per_subplot_kw: dict[Hashable | tuple[Hashable, ...], dict[str, Any]] | None = ...,
+        gridspec_kw: dict[str, Any] | None = ...,
+    ) -> dict[Hashable, Axes]: ...
+
+class SubFigure(FigureBase):
+    @property
+    def figure(self) -> Figure: ...
+    subplotpars: SubplotParams
+    dpi_scale_trans: Affine2D
+    transFigure: Transform
+    bbox_relative: Bbox
+    figbbox: BboxBase
+    bbox: BboxBase
+    transSubfigure: Transform
+    patch: Rectangle
+    def __init__(
+        self,
+        parent: Figure | SubFigure,
+        subplotspec: SubplotSpec,
+        *,
+        facecolor: ColorType | None = ...,
+        edgecolor: ColorType | None = ...,
+        linewidth: float = ...,
+        frameon: bool | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def canvas(self) -> FigureCanvasBase: ...
+    @property
+    def dpi(self) -> float: ...
+    @dpi.setter
+    def dpi(self, value: float) -> None: ...
+    def get_dpi(self) -> float: ...
+    def set_dpi(self, val) -> None: ...
+    def get_constrained_layout(self) -> bool: ...
+    def get_constrained_layout_pads(
+        self, relative: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    def get_layout_engine(self) -> LayoutEngine: ...
+    @property  # type: ignore[misc]
+    def axes(self) -> list[Axes]: ...  # type: ignore[override]
+    def get_axes(self) -> list[Axes]: ...
+
+class Figure(FigureBase):
+    @property
+    def figure(self) -> Figure: ...
+    bbox_inches: Bbox
+    dpi_scale_trans: Affine2D
+    bbox: BboxBase
+    figbbox: BboxBase
+    transFigure: Transform
+    transSubfigure: Transform
+    patch: Rectangle
+    subplotpars: SubplotParams
+    def __init__(
+        self,
+        figsize: tuple[float, float]
+        | tuple[float, float, Literal["in", "cm", "px"]]
+        | None = ...,
+        dpi: float | None = ...,
+        *,
+        facecolor: ColorType | None = ...,
+        edgecolor: ColorType | None = ...,
+        linewidth: float = ...,
+        frameon: bool | None = ...,
+        subplotpars: SubplotParams | None = ...,
+        tight_layout: bool | dict[str, Any] | None = ...,
+        constrained_layout: bool | dict[str, Any] | None = ...,
+        layout: Literal["constrained", "compressed", "tight"]
+        | LayoutEngine
+        | None = ...,
+        **kwargs
+    ) -> None: ...
+    def pick(self, mouseevent: MouseEvent) -> None: ...
+    def set_layout_engine(
+        self,
+        layout: Literal["constrained", "compressed", "tight", "none"]
+        | LayoutEngine
+        | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_layout_engine(self) -> LayoutEngine | None: ...
+    def _repr_html_(self) -> str | None: ...
+    def show(self, warn: bool = ...) -> None: ...
+    @property
+    def number(self) -> int | str: ...
+    @number.setter
+    def number(self, num: int | str) -> None: ...
+    @property  # type: ignore[misc]
+    def axes(self) -> list[Axes]: ...  # type: ignore[override]
+    def get_axes(self) -> list[Axes]: ...
+    @property
+    def dpi(self) -> float: ...
+    @dpi.setter
+    def dpi(self, dpi: float) -> None: ...
+    def get_tight_layout(self) -> bool: ...
+    def get_constrained_layout_pads(
+        self, relative: bool = ...
+    ) -> tuple[float, float, float, float]: ...
+    def get_constrained_layout(self) -> bool: ...
+    canvas: FigureCanvasBase
+    def set_canvas(self, canvas: FigureCanvasBase) -> None: ...
+    def figimage(
+        self,
+        X: ArrayLike,
+        xo: int = ...,
+        yo: int = ...,
+        alpha: float | None = ...,
+        norm: str | Normalize | None = ...,
+        cmap: str | Colormap | None = ...,
+        vmin: float | None = ...,
+        vmax: float | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        resize: bool = ...,
+        *,
+        colorizer: Colorizer | None = ...,
+        **kwargs
+    ) -> FigureImage: ...
+    def set_size_inches(
+        self, w: float | tuple[float, float], h: float | None = ..., forward: bool = ...
+    ) -> None: ...
+    def get_size_inches(self) -> np.ndarray: ...
+    def get_figwidth(self) -> float: ...
+    def get_figheight(self) -> float: ...
+    def get_dpi(self) -> float: ...
+    def set_dpi(self, val: float) -> None: ...
+    def set_figwidth(self, val: float, forward: bool = ...) -> None: ...
+    def set_figheight(self, val: float, forward: bool = ...) -> None: ...
+    def clear(self, keep_observers: bool = ...) -> None: ...
+    def draw_without_rendering(self) -> None: ...
+    def draw_artist(self, a: Artist) -> None: ...
+    def add_axobserver(self, func: Callable[[Figure], Any]) -> None: ...
+    def savefig(
+        self,
+        fname: str | os.PathLike | IO,
+        *,
+        transparent: bool | None = ...,
+        **kwargs
+    ) -> None: ...
+    def ginput(
+        self,
+        n: int = ...,
+        timeout: float = ...,
+        show_clicks: bool = ...,
+        mouse_add: MouseButton = ...,
+        mouse_pop: MouseButton = ...,
+        mouse_stop: MouseButton = ...,
+    ) -> list[tuple[int, int]]: ...
+    def waitforbuttonpress(self, timeout: float = ...) -> None | bool: ...
+    def tight_layout(
+        self,
+        *,
+        pad: float = ...,
+        h_pad: float | None = ...,
+        w_pad: float | None = ...,
+        rect: tuple[float, float, float, float] | None = ...
+    ) -> None: ...
+
+def figaspect(
+    arg: float | ArrayLike,
+) -> np.ndarray[tuple[Literal[2]], np.dtype[np.float64]]: ...
+
+def _parse_figsize(
+    figsize: tuple[float, float] | tuple[float, float, Literal["in", "cm", "px"]],
+    dpi: float
+) -> tuple[float, float]: ...
diff --git a/lib/matplotlib/finance.py b/lib/matplotlib/finance.py
deleted file mode 100644
index 53e831960bce..000000000000
--- a/lib/matplotlib/finance.py
+++ /dev/null
@@ -1,1656 +0,0 @@
-"""
-A collection of functions for collecting, analyzing and plotting
-financial data.   User contributions welcome!
-
-This module is deprecated in 1.4 and will be moved to `mpl_toolkits`
-or it's own project in the future.
-
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import contextlib
-import os
-import sys
-import warnings
-
-if six.PY3:
-    from urllib.request import urlopen
-else:
-    from urllib2 import urlopen
-
-if six.PY3:
-    import hashlib
-    md5 = lambda x: hashlib.md5(x.encode())
-else:
-    from hashlib import md5
-
-import datetime
-
-import numpy as np
-
-from matplotlib import verbose, get_cachedir
-from matplotlib.dates import date2num
-from matplotlib.cbook import iterable, mkdirs
-from matplotlib.collections import LineCollection, PolyCollection
-from matplotlib.colors import colorConverter
-from matplotlib.lines import Line2D, TICKLEFT, TICKRIGHT
-from matplotlib.patches import Rectangle
-from matplotlib.transforms import Affine2D
-
-from matplotlib.cbook import mplDeprecation
-
-cachedir = get_cachedir()
-# cachedir will be None if there is no writable directory.
-if cachedir is not None:
-    cachedir = os.path.join(cachedir, 'finance.cache')
-else:
-    # Should only happen in a restricted environment (such as Google App
-    # Engine). Deal with this gracefully by not caching finance data.
-    cachedir = None
-
-
-stock_dt_ohlc = np.dtype([
-    (str('date'), object),
-    (str('year'), np.int16),
-    (str('month'), np.int8),
-    (str('day'), np.int8),
-    (str('d'), np.float),     # mpl datenum
-    (str('open'), np.float),
-    (str('high'), np.float),
-    (str('low'), np.float),
-    (str('close'), np.float),
-    (str('volume'), np.float),
-    (str('aclose'), np.float)])
-
-
-stock_dt_ochl = np.dtype(
-    [(str('date'), object),
-     (str('year'), np.int16),
-     (str('month'), np.int8),
-     (str('day'), np.int8),
-     (str('d'), np.float),     # mpl datenum
-     (str('open'), np.float),
-     (str('close'), np.float),
-     (str('high'), np.float),
-     (str('low'), np.float),
-     (str('volume'), np.float),
-     (str('aclose'), np.float)])
-
-
-_warn_str = ("This function has been deprecated in 1.4 in favor "
-             "of `{fun}_ochl`, "
-             "which maintains the original argument order, "
-             "or `{fun}_ohlc`, "
-             "which uses the open-high-low-close order. "
-             "This function will be removed in 1.5")
-
-
-def parse_yahoo_historical_ochl(fh, adjusted=True, asobject=False):
-    """Parse the historical data in file handle fh from yahoo finance.
-
-    Parameters
-    ----------
-
-    adjusted : bool
-      If True (default) replace open, close, high, low prices with
-      their adjusted values. The adjustment is by a scale factor, S =
-      adjusted_close/close. Adjusted prices are actual prices
-      multiplied by S.
-
-      Volume is not adjusted as it is already backward split adjusted
-      by Yahoo. If you want to compute dollars traded, multiply volume
-      by the adjusted close, regardless of whether you choose adjusted
-      = True|False.
-
-
-    asobject : bool or None
-      If False (default for compatibility with earlier versions)
-      return a list of tuples containing
-
-        d, open, close, high, low,  volume
-
-      If None (preferred alternative to False), return
-      a 2-D ndarray corresponding to the list of tuples.
-
-      Otherwise return a numpy recarray with
-
-        date, year, month, day, d, open, close, high, low,
-        volume, adjusted_close
-
-      where d is a floating poing representation of date,
-      as returned by date2num, and date is a python standard
-      library datetime.date instance.
-
-      The name of this kwarg is a historical artifact.  Formerly,
-      True returned a cbook Bunch
-      holding 1-D ndarrays.  The behavior of a numpy recarray is
-      very similar to the Bunch.
-
-    """
-    return _parse_yahoo_historical(fh, adjusted=adjusted, asobject=asobject,
-                           ochl=True)
-
-
-def parse_yahoo_historical_ohlc(fh, adjusted=True, asobject=False):
-    """Parse the historical data in file handle fh from yahoo finance.
-
-    Parameters
-    ----------
-
-    adjusted : bool
-      If True (default) replace open, high, low, close prices with
-      their adjusted values. The adjustment is by a scale factor, S =
-      adjusted_close/close. Adjusted prices are actual prices
-      multiplied by S.
-
-      Volume is not adjusted as it is already backward split adjusted
-      by Yahoo. If you want to compute dollars traded, multiply volume
-      by the adjusted close, regardless of whether you choose adjusted
-      = True|False.
-
-
-    asobject : bool or None
-      If False (default for compatibility with earlier versions)
-      return a list of tuples containing
-
-        d, open, high, low, close, volume
-
-      If None (preferred alternative to False), return
-      a 2-D ndarray corresponding to the list of tuples.
-
-      Otherwise return a numpy recarray with
-
-        date, year, month, day, d, open, high, low,  close,
-        volume, adjusted_close
-
-      where d is a floating poing representation of date,
-      as returned by date2num, and date is a python standard
-      library datetime.date instance.
-
-      The name of this kwarg is a historical artifact.  Formerly,
-      True returned a cbook Bunch
-      holding 1-D ndarrays.  The behavior of a numpy recarray is
-      very similar to the Bunch.
-    """
-    return _parse_yahoo_historical(fh, adjusted=adjusted, asobject=asobject,
-                           ochl=False)
-
-
-def parse_yahoo_historical(fh, adjusted=True, asobject=False):
-    """Parse the historical data in file handle fh from yahoo finance.
-
-
-    This function has been deprecated in 1.4 in favor of
-    `parse_yahoo_historical_ochl`, which maintains the original argument
-    order, or `parse_yahoo_historical_ohlc`, which uses the
-    open-high-low-close order.  This function will be removed in 1.5
-
-
-    Parameters
-    ----------
-
-    adjusted : bool
-      If True (default) replace open, close, high, low prices with
-      their adjusted values. The adjustment is by a scale factor, S =
-      adjusted_close/close. Adjusted prices are actual prices
-      multiplied by S.
-
-      Volume is not adjusted as it is already backward split adjusted
-      by Yahoo. If you want to compute dollars traded, multiply volume
-      by the adjusted close, regardless of whether you choose adjusted
-      = True|False.
-
-
-    asobject : bool or None
-      If False (default for compatibility with earlier versions)
-      return a list of tuples containing
-
-        d, open, close, high, low, volume
-
-      If None (preferred alternative to False), return
-      a 2-D ndarray corresponding to the list of tuples.
-
-      Otherwise return a numpy recarray with
-
-        date, year, month, day, d, open, close, high, low,
-        volume, adjusted_close
-
-      where d is a floating poing representation of date,
-      as returned by date2num, and date is a python standard
-      library datetime.date instance.
-
-      The name of this kwarg is a historical artifact.  Formerly,
-      True returned a cbook Bunch
-      holding 1-D ndarrays.  The behavior of a numpy recarray is
-      very similar to the Bunch.
-
-    ochl : bool
-        Temporary argument to select between ochl and ohlc ordering.
-        Defaults to True to preserve original functionality.
-
-    """
-
-    warnings.warn(_warn_str.format(fun='parse_yahoo_historical'),
-                  mplDeprecation)
-
-    return _parse_yahoo_historical(fh, adjusted=adjusted, asobject=asobject,
-                           ochl=True)
-
-
-def _parse_yahoo_historical(fh, adjusted=True, asobject=False,
-                           ochl=True):
-    """Parse the historical data in file handle fh from yahoo finance.
-
-
-    Parameters
-    ----------
-
-    adjusted : bool
-      If True (default) replace open, high, low, close prices with
-      their adjusted values. The adjustment is by a scale factor, S =
-      adjusted_close/close. Adjusted prices are actual prices
-      multiplied by S.
-
-      Volume is not adjusted as it is already backward split adjusted
-      by Yahoo. If you want to compute dollars traded, multiply volume
-      by the adjusted close, regardless of whether you choose adjusted
-      = True|False.
-
-
-    asobject : bool or None
-      If False (default for compatibility with earlier versions)
-      return a list of tuples containing
-
-        d, open, high, low, close, volume
-
-       or
-
-        d, open, close, high, low, volume
-
-      depending on `ochl`
-
-      If None (preferred alternative to False), return
-      a 2-D ndarray corresponding to the list of tuples.
-
-      Otherwise return a numpy recarray with
-
-        date, year, month, day, d, open, high, low, close,
-        volume, adjusted_close
-
-      where d is a floating poing representation of date,
-      as returned by date2num, and date is a python standard
-      library datetime.date instance.
-
-      The name of this kwarg is a historical artifact.  Formerly,
-      True returned a cbook Bunch
-      holding 1-D ndarrays.  The behavior of a numpy recarray is
-      very similar to the Bunch.
-
-    ochl : bool
-        Selects between ochl and ohlc ordering.
-        Defaults to True to preserve original functionality.
-
-    """
-    if ochl:
-        stock_dt = stock_dt_ochl
-    else:
-        stock_dt = stock_dt_ohlc
-
-    results = []
-
-    #    datefmt = '%Y-%m-%d'
-    fh.readline()  # discard heading
-    for line in fh:
-
-        vals = line.split(',')
-        if len(vals) != 7:
-            continue      # add warning?
-        datestr = vals[0]
-        #dt = datetime.date(*time.strptime(datestr, datefmt)[:3])
-        # Using strptime doubles the runtime. With the present
-        # format, we don't need it.
-        dt = datetime.date(*[int(val) for val in datestr.split('-')])
-        dnum = date2num(dt)
-        open, high, low, close = [float(val) for val in vals[1:5]]
-        volume = float(vals[5])
-        aclose = float(vals[6])
-        if ochl:
-            results.append((dt, dt.year, dt.month, dt.day,
-                            dnum, open, close, high, low, volume, aclose))
-
-        else:
-            results.append((dt, dt.year, dt.month, dt.day,
-                            dnum, open, high, low, close, volume, aclose))
-    results.reverse()
-    d = np.array(results, dtype=stock_dt)
-    if adjusted:
-        scale = d['aclose'] / d['close']
-        scale[np.isinf(scale)] = np.nan
-        d['open'] *= scale
-        d['high'] *= scale
-        d['low'] *= scale
-        d['close'] *= scale
-
-    if not asobject:
-        # 2-D sequence; formerly list of tuples, now ndarray
-        ret = np.zeros((len(d), 6), dtype=np.float)
-        ret[:, 0] = d['d']
-        if ochl:
-            ret[:, 1] = d['open']
-            ret[:, 2] = d['close']
-            ret[:, 3] = d['high']
-            ret[:, 4] = d['low']
-        else:
-            ret[:, 1] = d['open']
-            ret[:, 2] = d['high']
-            ret[:, 3] = d['low']
-            ret[:, 4] = d['close']
-        ret[:, 5] = d['volume']
-        if asobject is None:
-            return ret
-        return [tuple(row) for row in ret]
-
-    return d.view(np.recarray)  # Close enough to former Bunch return
-
-
-def fetch_historical_yahoo(ticker, date1, date2, cachename=None,
-                           dividends=False):
-    """
-    Fetch historical data for ticker between date1 and date2.  date1 and
-    date2 are date or datetime instances, or (year, month, day) sequences.
-
-    Parameters
-    ----------
-    ticker : str
-        ticker
-
-    date1 : sequence of form (year, month, day), `datetime`, or `date`
-        start date
-    date2 : sequence of form (year, month, day), `datetime`, or `date`
-        end date
-
-    cachename : str
-        cachename is the name of the local file cache.  If None, will
-        default to the md5 hash or the url (which incorporates the ticker
-        and date range)
-
-    dividends : bool
-        set dividends=True to return dividends instead of price data.  With
-        this option set, parse functions will not work
-
-    Returns
-    -------
-    file_handle : file handle
-        a file handle is returned
-
-
-    Examples
-    --------
-    >>> fh = fetch_historical_yahoo('^GSPC', (2000, 1, 1), (2001, 12, 31))
-
-    """
-
-    ticker = ticker.upper()
-
-    if iterable(date1):
-        d1 = (date1[1] - 1, date1[2], date1[0])
-    else:
-        d1 = (date1.month - 1, date1.day, date1.year)
-    if iterable(date2):
-        d2 = (date2[1] - 1, date2[2], date2[0])
-    else:
-        d2 = (date2.month - 1, date2.day, date2.year)
-
-    if dividends:
-        g = 'v'
-        verbose.report('Retrieving dividends instead of prices')
-    else:
-        g = 'd'
-
-    urlFmt = ('http://ichart.yahoo.com/table.csv?a=%d&b=%d&' +
-              'c=%d&d=%d&e=%d&f=%d&s=%s&y=0&g=%s&ignore=.csv')
-
-    url = urlFmt % (d1[0], d1[1], d1[2],
-                    d2[0], d2[1], d2[2], ticker, g)
-
-    # Cache the finance data if cachename is supplied, or there is a writable
-    # cache directory.
-    if cachename is None and cachedir is not None:
-        cachename = os.path.join(cachedir, md5(url).hexdigest())
-    if cachename is not None:
-        if os.path.exists(cachename):
-            fh = open(cachename)
-            verbose.report('Using cachefile %s for '
-                           '%s' % (cachename, ticker))
-        else:
-            mkdirs(os.path.abspath(os.path.dirname(cachename)))
-            with contextlib.closing(urlopen(url)) as urlfh:
-                with open(cachename, 'wb') as fh:
-                    fh.write(urlfh.read())
-            verbose.report('Saved %s data to cache file '
-                           '%s' % (ticker, cachename))
-            fh = open(cachename, 'r')
-
-        return fh
-    else:
-        return urlopen(url)
-
-
-def quotes_historical_yahoo(ticker, date1, date2, asobject=False,
-                            adjusted=True, cachename=None):
-    """ Get historical data for ticker between date1 and date2.
-
-
-    This function has been deprecated in 1.4 in favor of
-    `quotes_yahoo_historical_ochl`, which maintains the original argument
-    order, or `quotes_yahoo_historical_ohlc`, which uses the
-    open-high-low-close order.  This function will be removed in 1.5
-
-    See :func:`parse_yahoo_historical` for explanation of output formats
-    and the *asobject* and *adjusted* kwargs.
-
-    Parameters
-    ----------
-    ticker : str
-        stock ticker
-
-    date1 : sequence of form (year, month, day), `datetime`, or `date`
-        start date
-
-    date2 : sequence of form (year, month, day), `datetime`, or `date`
-        end date
-
-    cachename : str or `None`
-        is the name of the local file cache.  If None, will
-        default to the md5 hash or the url (which incorporates the ticker
-        and date range)
-
-    Examples
-    --------
-    >>> sp = f.quotes_historical_yahoo('^GSPC', d1, d2,
-                             asobject=True, adjusted=True)
-    >>> returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
-    >>> [n,bins,patches] = hist(returns, 100)
-    >>> mu = mean(returns)
-    >>> sigma = std(returns)
-    >>> x = normpdf(bins, mu, sigma)
-    >>> plot(bins, x, color='red', lw=2)
-
-    """
-    warnings.warn(_warn_str.format(fun='quotes_historical_yahoo'),
-                  mplDeprecation)
-
-    return _quotes_historical_yahoo(ticker, date1, date2, asobject=asobject,
-                             adjusted=adjusted, cachename=cachename,
-                             ochl=True)
-
-
-def quotes_historical_yahoo_ochl(ticker, date1, date2, asobject=False,
-                            adjusted=True, cachename=None):
-    """ Get historical data for ticker between date1 and date2.
-
-
-    See :func:`parse_yahoo_historical` for explanation of output formats
-    and the *asobject* and *adjusted* kwargs.
-
-    Parameters
-    ----------
-    ticker : str
-        stock ticker
-
-    date1 : sequence of form (year, month, day), `datetime`, or `date`
-        start date
-
-    date2 : sequence of form (year, month, day), `datetime`, or `date`
-        end date
-
-    cachename : str or `None`
-        is the name of the local file cache.  If None, will
-        default to the md5 hash or the url (which incorporates the ticker
-        and date range)
-
-    Examples
-    --------
-    >>> sp = f.quotes_historical_yahoo_ochl('^GSPC', d1, d2,
-                             asobject=True, adjusted=True)
-    >>> returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
-    >>> [n,bins,patches] = hist(returns, 100)
-    >>> mu = mean(returns)
-    >>> sigma = std(returns)
-    >>> x = normpdf(bins, mu, sigma)
-    >>> plot(bins, x, color='red', lw=2)
-
-    """
-
-    return _quotes_historical_yahoo(ticker, date1, date2, asobject=asobject,
-                             adjusted=adjusted, cachename=cachename,
-                             ochl=True)
-
-
-def quotes_historical_yahoo_ohlc(ticker, date1, date2, asobject=False,
-                            adjusted=True, cachename=None):
-    """ Get historical data for ticker between date1 and date2.
-
-
-    See :func:`parse_yahoo_historical` for explanation of output formats
-    and the *asobject* and *adjusted* kwargs.
-
-    Parameters
-    ----------
-    ticker : str
-        stock ticker
-
-    date1 : sequence of form (year, month, day), `datetime`, or `date`
-        start date
-
-    date2 : sequence of form (year, month, day), `datetime`, or `date`
-        end date
-
-    cachename : str or `None`
-        is the name of the local file cache.  If None, will
-        default to the md5 hash or the url (which incorporates the ticker
-        and date range)
-
-    Examples
-    --------
-    >>> sp = f.quotes_historical_yahoo_ohlc('^GSPC', d1, d2,
-                             asobject=True, adjusted=True)
-    >>> returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
-    >>> [n,bins,patches] = hist(returns, 100)
-    >>> mu = mean(returns)
-    >>> sigma = std(returns)
-    >>> x = normpdf(bins, mu, sigma)
-    >>> plot(bins, x, color='red', lw=2)
-
-    """
-
-    return _quotes_historical_yahoo(ticker, date1, date2, asobject=asobject,
-                             adjusted=adjusted, cachename=cachename,
-                             ochl=False)
-
-
-def _quotes_historical_yahoo(ticker, date1, date2, asobject=False,
-                            adjusted=True, cachename=None,
-                            ochl=True):
-    """ Get historical data for ticker between date1 and date2.
-
-    See :func:`parse_yahoo_historical` for explanation of output formats
-    and the *asobject* and *adjusted* kwargs.
-
-    Parameters
-    ----------
-    ticker : str
-        stock ticker
-
-    date1 : sequence of form (year, month, day), `datetime`, or `date`
-        start date
-
-    date2 : sequence of form (year, month, day), `datetime`, or `date`
-        end date
-
-    cachename : str or `None`
-        is the name of the local file cache.  If None, will
-        default to the md5 hash or the url (which incorporates the ticker
-        and date range)
-
-    ochl: bool
-        temporary argument to select between ochl and ohlc ordering
-
-
-    Examples
-    --------
-    >>> sp = f.quotes_historical_yahoo('^GSPC', d1, d2,
-                             asobject=True, adjusted=True)
-    >>> returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
-    >>> [n,bins,patches] = hist(returns, 100)
-    >>> mu = mean(returns)
-    >>> sigma = std(returns)
-    >>> x = normpdf(bins, mu, sigma)
-    >>> plot(bins, x, color='red', lw=2)
-
-    """
-    # Maybe enable a warning later as part of a slow transition
-    # to using None instead of False.
-    #if asobject is False:
-    #    warnings.warn("Recommend changing to asobject=None")
-
-    fh = fetch_historical_yahoo(ticker, date1, date2, cachename)
-
-    try:
-        ret = _parse_yahoo_historical(fh, asobject=asobject,
-                                     adjusted=adjusted, ochl=ochl)
-        if len(ret) == 0:
-            return None
-    except IOError as exc:
-        warnings.warn('fh failure\n%s' % (exc.strerror[1]))
-        return None
-
-    return ret
-
-
-def plot_day_summary(ax, quotes, ticksize=3,
-                     colorup='k', colordown='r',
-                     ):
-    """Plots day summary
-
-        Represent the time, open, close, high, low as a vertical line
-        ranging from low to high.  The left tick is the open and the right
-        tick is the close.
-
-
-    This function has been deprecated in 1.4 in favor of
-    `plot_day_summary_ochl`, which maintains the original argument
-    order, or `plot_day_summary_ohlc`, which uses the
-    open-high-low-close order.  This function will be removed in 1.5
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an `Axes` instance to plot to
-    quotes : sequence of (time, open, close, high, low, ...) sequences
-        data to plot.  time must be in float date format - see date2num
-    ticksize : int
-        open/close tick marker in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-
-    Returns
-    -------
-    lines : list
-        list of tuples of the lines added (one tuple per quote)
-    """
-    warnings.warn(_warn_str.format(fun='plot_day_summary'),
-                  mplDeprecation)
-
-    return _plot_day_summary(ax, quotes, ticksize=ticksize,
-                     colorup=colorup, colordown=colordown,
-                     ochl=True)
-
-
-def plot_day_summary_oclh(ax, quotes, ticksize=3,
-                     colorup='k', colordown='r',
-                     ):
-    """Plots day summary
-
-        Represent the time, open, close, high, low as a vertical line
-        ranging from low to high.  The left tick is the open and the right
-        tick is the close.
-
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an `Axes` instance to plot to
-    quotes : sequence of (time, open, close, high, low, ...) sequences
-        data to plot.  time must be in float date format - see date2num
-    ticksize : int
-        open/close tick marker in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-
-    Returns
-    -------
-    lines : list
-        list of tuples of the lines added (one tuple per quote)
-    """
-    return _plot_day_summary(ax, quotes, ticksize=ticksize,
-                     colorup=colorup, colordown=colordown,
-                     ochl=True)
-
-
-def plot_day_summary_ohlc(ax, quotes, ticksize=3,
-                     colorup='k', colordown='r',
-                      ):
-    """Plots day summary
-
-        Represent the time, open, high, low, close as a vertical line
-        ranging from low to high.  The left tick is the open and the right
-        tick is the close.
-
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an `Axes` instance to plot to
-    quotes : sequence of (time, open, high, low, close, ...) sequences
-        data to plot.  time must be in float date format - see date2num
-    ticksize : int
-        open/close tick marker in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-
-    Returns
-    -------
-    lines : list
-        list of tuples of the lines added (one tuple per quote)
-    """
-    return _plot_day_summary(ax, quotes, ticksize=ticksize,
-                     colorup=colorup, colordown=colordown,
-                     ochl=False)
-
-
-def _plot_day_summary(ax, quotes, ticksize=3,
-                     colorup='k', colordown='r',
-                     ochl=True
-                     ):
-    """Plots day summary
-
-
-        Represent the time, open, high, low, close as a vertical line
-        ranging from low to high.  The left tick is the open and the right
-        tick is the close.
-
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an `Axes` instance to plot to
-    quotes : sequence of quote sequences
-        data to plot.  time must be in float date format - see date2num
-        (time, open, high, low, close, ...) vs
-        (time, open, close, high, low, ...)
-        set by `ochl`
-    ticksize : int
-        open/close tick marker in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    ochl: bool
-        argument to select between ochl and ohlc ordering of quotes
-
-    Returns
-    -------
-    lines : list
-        list of tuples of the lines added (one tuple per quote)
-    """
-    # unfortunately this has a different return type than plot_day_summary2_*
-    lines = []
-    for q in quotes:
-        if ochl:
-            t, open, close, high, low = q[:5]
-        else:
-            t, open, high, low, close = q[:5]
-
-        if close >= open:
-            color = colorup
-        else:
-            color = colordown
-
-        vline = Line2D(xdata=(t, t), ydata=(low, high),
-                       color=color,
-                       antialiased=False,   # no need to antialias vert lines
-                       )
-
-        oline = Line2D(xdata=(t, t), ydata=(open, open),
-                       color=color,
-                       antialiased=False,
-                       marker=TICKLEFT,
-                       markersize=ticksize,
-                       )
-
-        cline = Line2D(xdata=(t, t), ydata=(close, close),
-                       color=color,
-                       antialiased=False,
-                       markersize=ticksize,
-                       marker=TICKRIGHT)
-
-        lines.extend((vline, oline, cline))
-        ax.add_line(vline)
-        ax.add_line(oline)
-        ax.add_line(cline)
-
-    ax.autoscale_view()
-
-    return lines
-
-
-def candlestick(ax, quotes, width=0.2, colorup='k', colordown='r',
-                alpha=1.0):
-
-    """
-    Plot the time, open, close, high, low as a vertical line ranging
-    from low to high.  Use a rectangular bar to represent the
-    open-close span.  If close >= open, use colorup to color the bar,
-    otherwise use colordown
-
-
-    This function has been deprecated in 1.4 in favor of
-    `candlestick_ochl`, which maintains the original argument
-    order, or `candlestick_ohlc`, which uses the
-    open-high-low-close order.  This function will be removed in 1.5
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    quotes : sequence of (time, open, close, high, low, ...) sequences
-        As long as the first 5 elements are these values,
-        the record can be as long as you want (e.g., it may store volume).
-
-        time must be in float days format - see date2num
-
-    width : float
-        fraction of a day for the rectangle width
-    colorup : color
-        the color of the rectangle where close >= open
-    colordown : color
-         the color of the rectangle where close <  open
-    alpha : float
-        the rectangle alpha level
-
-    Returns
-    -------
-    ret : tuple
-        returns (lines, patches) where lines is a list of lines
-        added and patches is a list of the rectangle patches added
-
-    """
-    warnings.warn(_warn_str.format(fun='candlestick'),
-                  mplDeprecation)
-
-    return _candlestick(ax, quotes, width=width, colorup=colorup,
-                        colordown=colordown,
-                        alpha=alpha, ochl=True)
-
-
-def candlestick_ochl(ax, quotes, width=0.2, colorup='k', colordown='r',
-                alpha=1.0):
-
-    """
-    Plot the time, open, close, high, low as a vertical line ranging
-    from low to high.  Use a rectangular bar to represent the
-    open-close span.  If close >= open, use colorup to color the bar,
-    otherwise use colordown
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    quotes : sequence of (time, open, close, high, low, ...) sequences
-        As long as the first 5 elements are these values,
-        the record can be as long as you want (e.g., it may store volume).
-
-        time must be in float days format - see date2num
-
-    width : float
-        fraction of a day for the rectangle width
-    colorup : color
-        the color of the rectangle where close >= open
-    colordown : color
-         the color of the rectangle where close <  open
-    alpha : float
-        the rectangle alpha level
-
-    Returns
-    -------
-    ret : tuple
-        returns (lines, patches) where lines is a list of lines
-        added and patches is a list of the rectangle patches added
-
-    """
-    return _candlestick(ax, quotes, width=width, colorup=colorup,
-                        colordown=colordown,
-                        alpha=alpha, ochl=True)
-
-
-def candlestick_ohlc(ax, quotes, width=0.2, colorup='k', colordown='r',
-                alpha=1.0):
-
-    """
-    Plot the time, open, high, low, close as a vertical line ranging
-    from low to high.  Use a rectangular bar to represent the
-    open-close span.  If close >= open, use colorup to color the bar,
-    otherwise use colordown
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    quotes : sequence of (time, open, high, low, close, ...) sequences
-        As long as the first 5 elements are these values,
-        the record can be as long as you want (e.g., it may store volume).
-
-        time must be in float days format - see date2num
-
-    width : float
-        fraction of a day for the rectangle width
-    colorup : color
-        the color of the rectangle where close >= open
-    colordown : color
-         the color of the rectangle where close <  open
-    alpha : float
-        the rectangle alpha level
-
-    Returns
-    -------
-    ret : tuple
-        returns (lines, patches) where lines is a list of lines
-        added and patches is a list of the rectangle patches added
-
-    """
-    return _candlestick(ax, quotes, width=width, colorup=colorup,
-                        colordown=colordown,
-                        alpha=alpha, ochl=False)
-
-
-def _candlestick(ax, quotes, width=0.2, colorup='k', colordown='r',
-                alpha=1.0, ochl=True):
-
-    """
-    Plot the time, open, high, low, close as a vertical line ranging
-    from low to high.  Use a rectangular bar to represent the
-    open-close span.  If close >= open, use colorup to color the bar,
-    otherwise use colordown
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    quotes : sequence of quote sequences
-        data to plot.  time must be in float date format - see date2num
-        (time, open, high, low, close, ...) vs
-        (time, open, close, high, low, ...)
-        set by `ochl`
-    width : float
-        fraction of a day for the rectangle width
-    colorup : color
-        the color of the rectangle where close >= open
-    colordown : color
-         the color of the rectangle where close <  open
-    alpha : float
-        the rectangle alpha level
-    ochl: bool
-        argument to select between ochl and ohlc ordering of quotes
-
-    Returns
-    -------
-    ret : tuple
-        returns (lines, patches) where lines is a list of lines
-        added and patches is a list of the rectangle patches added
-
-    """
-
-    OFFSET = width / 2.0
-
-    lines = []
-    patches = []
-    for q in quotes:
-        if ochl:
-            t, open, close, high, low = q[:5]
-        else:
-            t, open, high, low, close = q[:5]
-
-        if close >= open:
-            color = colorup
-            lower = open
-            height = close - open
-        else:
-            color = colordown
-            lower = close
-            height = open - close
-
-        vline = Line2D(
-            xdata=(t, t), ydata=(low, high),
-            color=color,
-            linewidth=0.5,
-            antialiased=True,
-        )
-
-        rect = Rectangle(
-            xy=(t - OFFSET, lower),
-            width = width,
-            height = height,
-            facecolor = color,
-            edgecolor = color,
-        )
-        rect.set_alpha(alpha)
-
-        lines.append(vline)
-        patches.append(rect)
-        ax.add_line(vline)
-        ax.add_patch(rect)
-    ax.autoscale_view()
-
-    return lines, patches
-
-
-def plot_day_summary2(ax, opens, closes, highs, lows, ticksize=4,
-                      colorup='k', colordown='r',
-                      ):
-    """Represent the time, open, close, high, low,  as a vertical line
-    ranging from low to high.  The left tick is the open and the right
-    tick is the close.
-
-
-    This function has been deprecated in 1.4 in favor of
-    `plot_day_summary2_ochl`, which maintains the original argument
-    order, or `plot_day_summary2_ohlc`, which uses the
-    open-high-low-close order.  This function will be removed in 1.5
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    closes : sequence
-        sequence of closing values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-         the color of the lines where close <  open
-
-    Returns
-    -------
-    ret : list
-        a list of lines added to the axes
-    """
-
-    warnings.warn(_warn_str.format(fun='plot_day_summary2'), mplDeprecation)
-    return plot_day_summary2_ohlc(ax, opens, highs, lows, closes, ticksize,
-                                 colorup, colordown)
-
-
-def plot_day_summary2_ochl(ax, opens, closes, highs, lows, ticksize=4,
-                          colorup='k', colordown='r',
-                          ):
-
-    """Represent the time, open, close, high, low,  as a vertical line
-    ranging from low to high.  The left tick is the open and the right
-    tick is the close.
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    closes : sequence
-        sequence of closing values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-         the color of the lines where close <  open
-
-    Returns
-    -------
-    ret : list
-        a list of lines added to the axes
-    """
-
-    return plot_day_summary2_ohlc(ax, opens, highs, lows, closes, ticksize,
-                                 colorup, colordown)
-
-
-def plot_day_summary2_ohlc(ax, opens, highs, lows, closes, ticksize=4,
-                          colorup='k', colordown='r',
-                          ):
-
-    """Represent the time, open, high, low, close as a vertical line
-    ranging from low to high.  The left tick is the open and the right
-    tick is the close.
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    closes : sequence
-        sequence of closing values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-         the color of the lines where close <  open
-
-    Returns
-    -------
-    ret : list
-        a list of lines added to the axes
-    """
-    # note this code assumes if any value open, high, low, close is
-    # missing they all are missing
-
-    rangeSegments = [((i, low), (i, high)) for i, low, high in
-                     zip(xrange(len(lows)), lows, highs) if low != -1]
-
-    # the ticks will be from ticksize to 0 in points at the origin and
-    # we'll translate these to the i, close location
-    openSegments = [((-ticksize, 0), (0, 0))]
-
-    # the ticks will be from 0 to ticksize in points at the origin and
-    # we'll translate these to the i, close location
-    closeSegments = [((0, 0), (ticksize, 0))]
-
-    offsetsOpen = [(i, open) for i, open in
-                   zip(xrange(len(opens)), opens) if open != -1]
-
-    offsetsClose = [(i, close) for i, close in
-                    zip(xrange(len(closes)), closes) if close != -1]
-
-    scale = ax.figure.dpi * (1.0 / 72.0)
-
-    tickTransform = Affine2D().scale(scale, 0.0)
-
-    r, g, b = colorConverter.to_rgb(colorup)
-    colorup = r, g, b, 1
-    r, g, b = colorConverter.to_rgb(colordown)
-    colordown = r, g, b, 1
-    colord = {True: colorup,
-              False: colordown,
-              }
-    colors = [colord[open < close] for open, close in
-              zip(opens, closes) if open != -1 and close != -1]
-
-    assert(len(rangeSegments) == len(offsetsOpen))
-    assert(len(offsetsOpen) == len(offsetsClose))
-    assert(len(offsetsClose) == len(colors))
-
-    useAA = 0,   # use tuple here
-    lw = 1,      # and here
-    rangeCollection = LineCollection(rangeSegments,
-                                     colors=colors,
-                                     linewidths=lw,
-                                     antialiaseds=useAA,
-                                     )
-
-    openCollection = LineCollection(openSegments,
-                                    colors=colors,
-                                    antialiaseds=useAA,
-                                    linewidths=lw,
-                                    offsets=offsetsOpen,
-                                    transOffset=ax.transData,
-                                    )
-    openCollection.set_transform(tickTransform)
-
-    closeCollection = LineCollection(closeSegments,
-                                     colors=colors,
-                                     antialiaseds=useAA,
-                                     linewidths=lw,
-                                     offsets=offsetsClose,
-                                     transOffset=ax.transData,
-                                     )
-    closeCollection.set_transform(tickTransform)
-
-    minpy, maxx = (0, len(rangeSegments))
-    miny = min([low for low in lows if low != -1])
-    maxy = max([high for high in highs if high != -1])
-    corners = (minpy, miny), (maxx, maxy)
-    ax.update_datalim(corners)
-    ax.autoscale_view()
-
-    # add these last
-    ax.add_collection(rangeCollection)
-    ax.add_collection(openCollection)
-    ax.add_collection(closeCollection)
-    return rangeCollection, openCollection, closeCollection
-
-
-def candlestick2_ochl(ax, opens, closes, highs, lows,  width=4,
-                 colorup='k', colordown='r',
-                 alpha=0.75,
-                 ):
-    """Represent the open, close as a bar line and high low range as a
-    vertical line.
-
-    Preserves the original argument order.
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    closes : sequence
-        sequence of closing values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    alpha : float
-        bar transparency
-
-    Returns
-    -------
-    ret : tuple
-        (lineCollection, barCollection)
-    """
-
-    candlestick2_ohlc(ax, opens, highs, closes, lows, width=width,
-                     colorup=colorup, colordown=colordown,
-                     alpha=alpha)
-
-
-def candlestick2(ax, opens, closes, highs, lows,  width=4,
-                 colorup='k', colordown='r',
-                 alpha=0.75,
-                 ):
-    """Represent the open, close as a bar line and high low range as a
-    vertical line.
-
-    This function has been deprecated in 1.4 in favor of
-    `candlestick2_ochl`, which maintains the original argument order,
-    or `candlestick2_ohlc`, which uses the open-high-low-close order.
-    This function will be removed in 1.5
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    closes : sequence
-        sequence of closing values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    alpha : float
-        bar transparency
-
-    Returns
-    -------
-    ret : tuple
-        (lineCollection, barCollection)
-    """
-    warnings.warn(_warn_str.format(fun='candlestick2'),
-                  mplDeprecation)
-
-    candlestick2_ohlc(ax, opens, highs, lows, closes, width=width,
-                     colorup=colorup, colordown=colordown,
-                     alpha=alpha)
-
-
-def candlestick2_ohlc(ax, opens, highs, lows, closes, width=4,
-                 colorup='k', colordown='r',
-                 alpha=0.75,
-                 ):
-    """Represent the open, close as a bar line and high low range as a
-    vertical line.
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        sequence of opening values
-    highs : sequence
-        sequence of high values
-    lows : sequence
-        sequence of low values
-    closes : sequence
-        sequence of closing values
-    ticksize : int
-        size of open and close ticks in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    alpha : float
-        bar transparency
-
-    Returns
-    -------
-    ret : tuple
-        (lineCollection, barCollection)
-    """
-
-    # note this code assumes if any value open, low, high, close is
-    # missing they all are missing
-
-    delta = width / 2.
-    barVerts = [((i - delta, open),
-                 (i - delta, close),
-                 (i + delta, close),
-                 (i + delta, open))
-                for i, open, close in zip(xrange(len(opens)), opens, closes)
-                if open != -1 and close != -1]
-
-    rangeSegments = [((i, low), (i, high))
-                     for i, low, high in zip(xrange(len(lows)), lows, highs)
-                     if low != -1]
-
-    r, g, b = colorConverter.to_rgb(colorup)
-    colorup = r, g, b, alpha
-    r, g, b = colorConverter.to_rgb(colordown)
-    colordown = r, g, b, alpha
-    colord = {True: colorup,
-              False: colordown,
-              }
-    colors = [colord[open < close]
-              for open, close in zip(opens, closes)
-              if open != -1 and close != -1]
-
-    assert(len(barVerts) == len(rangeSegments))
-
-    useAA = 0,  # use tuple here
-    lw = 0.5,   # and here
-    rangeCollection = LineCollection(rangeSegments,
-                                     colors=((0, 0, 0, 1), ),
-                                     linewidths=lw,
-                                     antialiaseds = useAA,
-                                     )
-
-    barCollection = PolyCollection(barVerts,
-                                   facecolors=colors,
-                                   edgecolors=((0, 0, 0, 1), ),
-                                   antialiaseds=useAA,
-                                   linewidths=lw,
-                                   )
-
-    minx, maxx = 0, len(rangeSegments)
-    miny = min([low for low in lows if low != -1])
-    maxy = max([high for high in highs if high != -1])
-
-    corners = (minx, miny), (maxx, maxy)
-    ax.update_datalim(corners)
-    ax.autoscale_view()
-
-    # add these last
-    ax.add_collection(barCollection)
-    ax.add_collection(rangeCollection)
-    return rangeCollection, barCollection
-
-
-def volume_overlay(ax, opens, closes, volumes,
-                   colorup='k', colordown='r',
-                   width=4, alpha=1.0):
-    """Add a volume overlay to the current axes.  The opens and closes
-    are used to determine the color of the bar.  -1 is missing.  If a
-    value is missing on one it must be missing on all
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    opens : sequence
-        a sequence of opens
-    closes : sequence
-        a sequence of closes
-    volumes : sequence
-        a sequence of volumes
-    width : int
-        the bar width in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    alpha : float
-        bar transparency
-
-    Returns
-    -------
-    ret : `barCollection`
-        The `barrCollection` added to the axes
-
-    """
-
-    r, g, b = colorConverter.to_rgb(colorup)
-    colorup = r, g, b, alpha
-    r, g, b = colorConverter.to_rgb(colordown)
-    colordown = r, g, b, alpha
-    colord = {True: colorup,
-              False: colordown,
-              }
-    colors = [colord[open < close]
-              for open, close in zip(opens, closes)
-              if open != -1 and close != -1]
-
-    delta = width / 2.
-    bars = [((i - delta, 0), (i - delta, v), (i + delta, v), (i + delta, 0))
-            for i, v in enumerate(volumes)
-            if v != -1]
-
-    barCollection = PolyCollection(bars,
-                                   facecolors=colors,
-                                   edgecolors=((0, 0, 0, 1), ),
-                                   antialiaseds=(0,),
-                                   linewidths=(0.5,),
-                                   )
-
-    ax.add_collection(barCollection)
-    corners = (0, 0), (len(bars), max(volumes))
-    ax.update_datalim(corners)
-    ax.autoscale_view()
-
-    # add these last
-    return barCollection
-
-
-def volume_overlay2(ax, closes, volumes,
-                    colorup='k', colordown='r',
-                    width=4, alpha=1.0):
-    """
-    Add a volume overlay to the current axes.  The closes are used to
-    determine the color of the bar.  -1 is missing.  If a value is
-    missing on one it must be missing on all
-
-    nb: first point is not displayed - it is used only for choosing the
-    right color
-
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    closes : sequence
-        a sequence of closes
-    volumes : sequence
-        a sequence of volumes
-    width : int
-        the bar width in points
-    colorup : color
-        the color of the lines where close >= open
-    colordown : color
-        the color of the lines where close <  open
-    alpha : float
-        bar transparency
-
-    Returns
-    -------
-    ret : `barCollection`
-        The `barrCollection` added to the axes
-
-    """
-
-    return volume_overlay(ax, closes[:-1], closes[1:], volumes[1:],
-                          colorup, colordown, width, alpha)
-
-
-def volume_overlay3(ax, quotes,
-                    colorup='k', colordown='r',
-                    width=4, alpha=1.0):
-    """Add a volume overlay to the current axes.  quotes is a list of (d,
-    open, high, low, close, volume) and close-open is used to
-    determine the color of the bar
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    quotes : sequence of (time, open, high, low, close, ...) sequences
-        data to plot.  time must be in float date format - see date2num
-    width : int
-        the bar width in points
-    colorup : color
-        the color of the lines where close1 >= close0
-    colordown : color
-        the color of the lines where close1 <  close0
-    alpha : float
-         bar transparency
-
-    Returns
-    -------
-    ret : `barCollection`
-        The `barrCollection` added to the axes
-
-
-    """
-
-    r, g, b = colorConverter.to_rgb(colorup)
-    colorup = r, g, b, alpha
-    r, g, b = colorConverter.to_rgb(colordown)
-    colordown = r, g, b, alpha
-    colord = {True: colorup,
-              False: colordown,
-              }
-
-    dates, opens, highs, lows, closes, volumes = list(zip(*quotes))
-    colors = [colord[close1 >= close0]
-              for close0, close1 in zip(closes[:-1], closes[1:])
-              if close0 != -1 and close1 != -1]
-    colors.insert(0, colord[closes[0] >= opens[0]])
-
-    right = width / 2.0
-    left = -width / 2.0
-
-    bars = [((left, 0), (left, volume), (right, volume), (right, 0))
-            for d, open, high, low, close, volume in quotes]
-
-    sx = ax.figure.dpi * (1.0 / 72.0)  # scale for points
-    sy = ax.bbox.height / ax.viewLim.height
-
-    barTransform = Affine2D().scale(sx, sy)
-
-    dates = [d for d, open, high, low, close, volume in quotes]
-    offsetsBars = [(d, 0) for d in dates]
-
-    useAA = 0,  # use tuple here
-    lw = 0.5,   # and here
-    barCollection = PolyCollection(bars,
-                                   facecolors=colors,
-                                   edgecolors=((0, 0, 0, 1),),
-                                   antialiaseds=useAA,
-                                   linewidths=lw,
-                                   offsets=offsetsBars,
-                                   transOffset=ax.transData,
-                                   )
-    barCollection.set_transform(barTransform)
-
-    minpy, maxx = (min(dates), max(dates))
-    miny = 0
-    maxy = max([volume for d, open, high, low, close, volume in quotes])
-    corners = (minpy, miny), (maxx, maxy)
-    ax.update_datalim(corners)
-    #print 'datalim', ax.dataLim.bounds
-    #print 'viewlim', ax.viewLim.bounds
-
-    ax.add_collection(barCollection)
-    ax.autoscale_view()
-
-    return barCollection
-
-
-def index_bar(ax, vals,
-              facecolor='b', edgecolor='l',
-              width=4, alpha=1.0, ):
-    """Add a bar collection graph with height vals (-1 is missing).
-
-    Parameters
-    ----------
-    ax : `Axes`
-        an Axes instance to plot to
-    vals : sequence
-        a sequence of values
-    facecolor : color
-        the color of the bar face
-    edgecolor : color
-        the color of the bar edges
-    width : int
-        the bar width in points
-    alpha : float
-       bar transparency
-
-    Returns
-    -------
-    ret : `barCollection`
-        The `barrCollection` added to the axes
-
-    """
-
-    facecolors = (colorConverter.to_rgba(facecolor, alpha),)
-    edgecolors = (colorConverter.to_rgba(edgecolor, alpha),)
-
-    right = width / 2.0
-    left = -width / 2.0
-
-    bars = [((left, 0), (left, v), (right, v), (right, 0))
-            for v in vals if v != -1]
-
-    sx = ax.figure.dpi * (1.0 / 72.0)  # scale for points
-    sy = ax.bbox.height / ax.viewLim.height
-
-    barTransform = Affine2D().scale(sx, sy)
-
-    offsetsBars = [(i, 0) for i, v in enumerate(vals) if v != -1]
-
-    barCollection = PolyCollection(bars,
-                                   facecolors=facecolors,
-                                   edgecolors=edgecolors,
-                                   antialiaseds=(0,),
-                                   linewidths=(0.5,),
-                                   offsets=offsetsBars,
-                                   transOffset=ax.transData,
-                                   )
-    barCollection.set_transform(barTransform)
-
-    minpy, maxx = (0, len(offsetsBars))
-    miny = 0
-    maxy = max([v for v in vals if v != -1])
-    corners = (minpy, miny), (maxx, maxy)
-    ax.update_datalim(corners)
-    ax.autoscale_view()
-
-    # add these last
-    ax.add_collection(barCollection)
-    return barCollection
diff --git a/lib/matplotlib/font_manager.py b/lib/matplotlib/font_manager.py
index 3d33a28ce923..2db98b75ab2e 100644
--- a/lib/matplotlib/font_manager.py
+++ b/lib/matplotlib/font_manager.py
@@ -1,127 +1,152 @@
 """
 A module for finding, managing, and using fonts across platforms.
 
-This module provides a single :class:`FontManager` instance that can
-be shared across backends and platforms.  The :func:`findfont`
+This module provides a single `FontManager` instance, ``fontManager``, that can
+be shared across backends and platforms.  The `findfont`
 function returns the best TrueType (TTF) font file in the local or
-system font path that matches the specified :class:`FontProperties`
-instance.  The :class:`FontManager` also handles Adobe Font Metrics
+system font path that matches the specified `FontProperties`
+instance.  The `FontManager` also handles Adobe Font Metrics
 (AFM) font files for use by the PostScript backend.
+The `FontManager.addfont` function adds a custom font from a file without
+installing it into your operating system.
 
 The design is based on the `W3C Cascading Style Sheet, Level 1 (CSS1)
 font specification <http://www.w3.org/TR/1998/REC-CSS2-19980512/>`_.
 Future versions may implement the Level 2 or 2.1 specifications.
-
-Experimental support is included for using `fontconfig` on Unix
-variant platforms (Linux, OS X, Solaris).  To enable it, set the
-constant ``USE_FONTCONFIG`` in this file to ``True``.  Fontconfig has
-the advantage that it is the standard way to look up fonts on X11
-platforms, so if a font is installed, it is much more likely to be
-found.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import cPickle as pickle
-
-"""
-KNOWN ISSUES
-
-  - documentation
-  - font variant is untested
-  - font stretch is incomplete
-  - font size is incomplete
-  - font size_adjust is incomplete
-  - default font algorithm needs improvement and testing
-  - setWeights function needs improvement
-  - 'light' is an invalid weight value, remove it.
-  - update_fonts not implemented
-
-Authors   : John Hunter <jdhunter@ace.bsd.uchicago.edu>
-            Paul Barrett <Barrett@STScI.Edu>
-            Michael Droettboom <mdroe@STScI.edu>
-Copyright : John Hunter (2004,2005), Paul Barrett (2004,2005)
-License   : matplotlib license (PSF compatible)
-            The font directory code is from ttfquery,
-            see license/LICENSE_TTFQUERY.
 """
 
-import os, sys, warnings
-try:
-    set
-except NameError:
-    from sets import Set as set
-import matplotlib
-from matplotlib import afm
-from matplotlib import ft2font
-from matplotlib import rcParams, get_cachedir
-from matplotlib.cbook import is_string_like
-import matplotlib.cbook as cbook
-from matplotlib.compat import subprocess
-from matplotlib.fontconfig_pattern import \
-    parse_fontconfig_pattern, generate_fontconfig_pattern
-
-USE_FONTCONFIG = False
-verbose = matplotlib.verbose
+# KNOWN ISSUES
+#
+#   - documentation
+#   - font variant is untested
+#   - font stretch is incomplete
+#   - font size is incomplete
+#   - default font algorithm needs improvement and testing
+#   - setWeights function needs improvement
+#   - 'light' is an invalid weight value, remove it.
+
+from __future__ import annotations
+
+from base64 import b64encode
+import copy
+import dataclasses
+from functools import cache, lru_cache
+import functools
+from io import BytesIO
+import json
+import logging
+from numbers import Number
+import os
+from pathlib import Path
+import plistlib
+import re
+import subprocess
+import sys
+import threading
+
+import matplotlib as mpl
+from matplotlib import _api, _afm, cbook, ft2font
+from matplotlib._fontconfig_pattern import (
+    parse_fontconfig_pattern, generate_fontconfig_pattern)
+from matplotlib.rcsetup import _validators
+
+_log = logging.getLogger(__name__)
 
 font_scalings = {
-    'xx-small' : 0.579,
-    'x-small'  : 0.694,
-    'small'    : 0.833,
-    'medium'   : 1.0,
-    'large'    : 1.200,
-    'x-large'  : 1.440,
-    'xx-large' : 1.728,
-    'larger'   : 1.2,
-    'smaller'  : 0.833,
-    None       : 1.0}
-
+    'xx-small': 0.579,
+    'x-small':  0.694,
+    'small':    0.833,
+    'medium':   1.0,
+    'large':    1.200,
+    'x-large':  1.440,
+    'xx-large': 1.728,
+    'larger':   1.2,
+    'smaller':  0.833,
+    None:       1.0,
+}
 stretch_dict = {
-    'ultra-condensed' : 100,
-    'extra-condensed' : 200,
-    'condensed'       : 300,
-    'semi-condensed'  : 400,
-    'normal'          : 500,
-    'semi-expanded'   : 600,
-    'expanded'        : 700,
-    'extra-expanded'  : 800,
-    'ultra-expanded'  : 900}
-
+    'ultra-condensed': 100,
+    'extra-condensed': 200,
+    'condensed':       300,
+    'semi-condensed':  400,
+    'normal':          500,
+    'semi-expanded':   600,
+    'semi-extended':   600,
+    'expanded':        700,
+    'extended':        700,
+    'extra-expanded':  800,
+    'extra-extended':  800,
+    'ultra-expanded':  900,
+    'ultra-extended':  900,
+}
 weight_dict = {
-    'ultralight' : 100,
-    'light'      : 200,
-    'normal'     : 400,
-    'regular'    : 400,
-    'book'       : 400,
-    'medium'     : 500,
-    'roman'      : 500,
-    'semibold'   : 600,
-    'demibold'   : 600,
-    'demi'       : 600,
-    'bold'       : 700,
-    'heavy'      : 800,
-    'extra bold' : 800,
-    'black'      : 900}
-
-font_family_aliases = set([
-        'serif',
-        'sans-serif',
-        'sans serif',
-        'cursive',
-        'fantasy',
-        'monospace',
-        'sans'])
-
-#  OS Font paths
+    'ultralight': 100,
+    'light':      200,
+    'normal':     400,
+    'regular':    400,
+    'book':       400,
+    'medium':     500,
+    'roman':      500,
+    'semibold':   600,
+    'demibold':   600,
+    'demi':       600,
+    'bold':       700,
+    'heavy':      800,
+    'extra bold': 800,
+    'black':      900,
+}
+_weight_regexes = [
+    # From fontconfig's FcFreeTypeQueryFaceInternal; not the same as
+    # weight_dict!
+    ("thin", 100),
+    ("extralight", 200),
+    ("ultralight", 200),
+    ("demilight", 350),
+    ("semilight", 350),
+    ("light", 300),  # Needs to come *after* demi/semilight!
+    ("book", 380),
+    ("regular", 400),
+    ("normal", 400),
+    ("medium", 500),
+    ("demibold", 600),
+    ("demi", 600),
+    ("semibold", 600),
+    ("extrabold", 800),
+    ("superbold", 800),
+    ("ultrabold", 800),
+    ("bold", 700),  # Needs to come *after* extra/super/ultrabold!
+    ("ultrablack", 1000),
+    ("superblack", 1000),
+    ("extrablack", 1000),
+    (r"\bultra", 1000),
+    ("black", 900),  # Needs to come *after* ultra/super/extrablack!
+    ("heavy", 900),
+]
+font_family_aliases = {
+    'serif',
+    'sans-serif',
+    'sans serif',
+    'cursive',
+    'fantasy',
+    'monospace',
+    'sans',
+}
+
+# OS Font paths
+try:
+    _HOME = Path.home()
+except Exception:  # Exceptions thrown by home() are not specified...
+    _HOME = Path(os.devnull)  # Just an arbitrary path with no children.
 MSFolders = \
     r'Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders'
-
-MSFontDirectories   = [
+MSFontDirectories = [
     r'SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts',
     r'SOFTWARE\Microsoft\Windows\CurrentVersion\Fonts']
-
-X11FontDirectories  = [
+MSUserFontDirectories = [
+    str(_HOME / 'AppData/Local/Microsoft/Windows/Fonts'),
+    str(_HOME / 'AppData/Roaming/Microsoft/Windows/Fonts'),
+]
+X11FontDirectories = [
     # an old standard installation point
     "/usr/X11R6/lib/X11/fonts/TTF/",
     "/usr/X11/lib/X11/fonts",
@@ -131,165 +156,121 @@
     "/usr/local/share/fonts/",
     # common application, not really useful
     "/usr/lib/openoffice/share/fonts/truetype/",
-    ]
-
+    # user fonts
+    str((Path(os.environ.get('XDG_DATA_HOME') or _HOME / ".local/share"))
+        / "fonts"),
+    str(_HOME / ".fonts"),
+]
 OSXFontDirectories = [
     "/Library/Fonts/",
     "/Network/Library/Fonts/",
     "/System/Library/Fonts/",
     # fonts installed via MacPorts
-    "/opt/local/share/fonts"
-    ""
+    "/opt/local/share/fonts",
+    # user fonts
+    str(_HOME / "Library/Fonts"),
 ]
 
-if not USE_FONTCONFIG:
-    home = os.environ.get('HOME')
-    if home is not None:
-        # user fonts on OSX
-        path = os.path.join(home, 'Library', 'Fonts')
-        OSXFontDirectories.append(path)
-        path = os.path.join(home, '.fonts')
-        X11FontDirectories.append(path)
 
 def get_fontext_synonyms(fontext):
     """
-    Return a list of file extensions extensions that are synonyms for
+    Return a list of file extensions that are synonyms for
     the given file extension *fileext*.
     """
-    return {'ttf': ('ttf', 'otf'),
-            'otf': ('ttf', 'otf'),
-            'afm': ('afm',)}[fontext]
+    return {
+        'afm': ['afm'],
+        'otf': ['otf', 'ttc', 'ttf'],
+        'ttc': ['otf', 'ttc', 'ttf'],
+        'ttf': ['otf', 'ttc', 'ttf'],
+    }[fontext]
+
 
 def list_fonts(directory, extensions):
     """
-    Return a list of all fonts matching any of the extensions,
-    possibly upper-cased, found recursively under the directory.
+    Return a list of all fonts matching any of the extensions, found
+    recursively under the directory.
     """
-    pattern = ';'.join(['*.%s;*.%s' % (ext, ext.upper())
-                        for ext in extensions])
-    return cbook.listFiles(directory, pattern)
+    extensions = ["." + ext for ext in extensions]
+    return [os.path.join(dirpath, filename)
+            # os.walk ignores access errors, unlike Path.glob.
+            for dirpath, _, filenames in os.walk(directory)
+            for filename in filenames
+            if Path(filename).suffix.lower() in extensions]
+
 
 def win32FontDirectory():
-    """
+    r"""
     Return the user-specified font directory for Win32.  This is
-    looked up from the registry key::
+    looked up from the registry key ::
 
       \\HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders\Fonts
 
-    If the key is not found, $WINDIR/Fonts will be returned.
-    """
+    If the key is not found, ``%WINDIR%\Fonts`` will be returned.
+    """  # noqa: E501
+    import winreg
     try:
-        from six.moves import winreg
-    except ImportError:
-        pass # Fall through to default
-    else:
-        try:
-            user = winreg.OpenKey(winreg.HKEY_CURRENT_USER, MSFolders)
-            try:
+        with winreg.OpenKey(winreg.HKEY_CURRENT_USER, MSFolders) as user:
+            return winreg.QueryValueEx(user, 'Fonts')[0]
+    except OSError:
+        return os.path.join(os.environ['WINDIR'], 'Fonts')
+
+
+def _get_win32_installed_fonts():
+    """List the font paths known to the Windows registry."""
+    import winreg
+    items = set()
+    # Search and resolve fonts listed in the registry.
+    for domain, base_dirs in [
+            (winreg.HKEY_LOCAL_MACHINE, [win32FontDirectory()]),  # System.
+            (winreg.HKEY_CURRENT_USER, MSUserFontDirectories),  # User.
+    ]:
+        for base_dir in base_dirs:
+            for reg_path in MSFontDirectories:
                 try:
-                    return winreg.QueryValueEx(user, 'Fonts')[0]
-                except OSError:
-                    pass # Fall through to default
-            finally:
-                winreg.CloseKey(user)
-        except OSError:
-            pass # Fall through to default
-    return os.path.join(os.environ['WINDIR'], 'Fonts')
-
-def win32InstalledFonts(directory=None, fontext='ttf'):
-    """
-    Search for fonts in the specified font directory, or use the
-    system directories if none given.  A list of TrueType font
-    filenames are returned by default, or AFM fonts if *fontext* ==
-    'afm'.
-    """
-
-    from six.moves import winreg
-    if directory is None:
-        directory = win32FontDirectory()
-
-    fontext = get_fontext_synonyms(fontext)
-
-    key, items = None, {}
-    for fontdir in MSFontDirectories:
-        try:
-            local = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, fontdir)
-        except OSError:
-            continue
-
-        if not local:
-            return list_fonts(directory, fontext)
-        try:
-            for j in range(winreg.QueryInfoKey(local)[1]):
-                try:
-                    key, direc, any = winreg.EnumValue( local, j)
-                    if not is_string_like(direc):
-                        continue
-                    if not os.path.dirname(direc):
-                        direc = os.path.join(directory, direc)
-                    direc = os.path.abspath(direc).lower()
-                    if os.path.splitext(direc)[1][1:] in fontext:
-                        items[direc] = 1
-                except EnvironmentError:
-                    continue
-                except WindowsError:
+                    with winreg.OpenKey(domain, reg_path) as local:
+                        for j in range(winreg.QueryInfoKey(local)[1]):
+                            # value may contain the filename of the font or its
+                            # absolute path.
+                            key, value, tp = winreg.EnumValue(local, j)
+                            if not isinstance(value, str):
+                                continue
+                            try:
+                                # If value contains already an absolute path,
+                                # then it is not changed further.
+                                path = Path(base_dir, value).resolve()
+                            except RuntimeError:
+                                # Don't fail with invalid entries.
+                                continue
+                            items.add(path)
+                except (OSError, MemoryError):
                     continue
-                except MemoryError:
-                    continue
-            return list(six.iterkeys(items))
-        finally:
-            winreg.CloseKey(local)
-    return None
-
-def OSXInstalledFonts(directories=None, fontext='ttf'):
-    """
-    Get list of font files on OS X - ignores font suffix by default.
-    """
-    if directories is None:
-        directories = OSXFontDirectories
+    return items
 
-    fontext = get_fontext_synonyms(fontext)
-
-    files = []
-    for path in directories:
-        if fontext is None:
-            files.extend(cbook.listFiles(path, '*'))
-        else:
-            files.extend(list_fonts(path, fontext))
-    return files
-
-def get_fontconfig_fonts(fontext='ttf'):
-    """
-    Grab a list of all the fonts that are being tracked by fontconfig
-    by making a system call to ``fc-list``.  This is an easy way to
-    grab all of the fonts the user wants to be made available to
-    applications, without needing knowing where all of them reside.
-    """
-    fontext = get_fontext_synonyms(fontext)
 
-    fontfiles = {}
+@cache
+def _get_fontconfig_fonts():
+    """Cache and list the font paths known to ``fc-list``."""
     try:
-        pipe = subprocess.Popen(['fc-list', '--format=%{file}\\n'],
-                                stdout=subprocess.PIPE,
-                                stderr=subprocess.PIPE)
-        output = pipe.communicate()[0]
-    except (OSError, IOError):
-        # Calling fc-list did not work, so we'll just return nothing
-        return fontfiles
-
-    if pipe.returncode == 0:
-        # The line breaks between results are in ascii, but each entry
-        # is in in sys.filesystemencoding().
-        for fname in output.split(b'\n'):
-            try:
-                fname = six.text_type(fname, sys.getfilesystemencoding())
-            except UnicodeDecodeError:
-                continue
-            if (os.path.splitext(fname)[1][1:] in fontext and
-                os.path.exists(fname)):
-                fontfiles[fname] = 1
+        if b'--format' not in subprocess.check_output(['fc-list', '--help']):
+            _log.warning(  # fontconfig 2.7 implemented --format.
+                'Matplotlib needs fontconfig>=2.7 to query system fonts.')
+            return []
+        out = subprocess.check_output(['fc-list', '--format=%{file}\\n'])
+    except (OSError, subprocess.CalledProcessError):
+        return []
+    return [Path(os.fsdecode(fname)) for fname in out.split(b'\n')]
+
+
+@cache
+def _get_macos_fonts():
+    """Cache and list the font paths known to ``system_profiler SPFontsDataType``."""
+    try:
+        d, = plistlib.loads(
+            subprocess.check_output(["system_profiler", "-xml", "SPFontsDataType"]))
+    except (OSError, subprocess.CalledProcessError, plistlib.InvalidFileException):
+        return []
+    return [Path(entry["path"]) for entry in d["_items"]]
 
-    return fontfiles
 
 def findSystemFonts(fontpaths=None, fontext='ttf'):
     """
@@ -299,121 +280,110 @@ def findSystemFonts(fontpaths=None, fontext='ttf'):
     available.  A list of TrueType fonts are returned by default with
     AFM fonts as an option.
     """
-    fontfiles = {}
+    fontfiles = set()
     fontexts = get_fontext_synonyms(fontext)
 
     if fontpaths is None:
         if sys.platform == 'win32':
-            fontdir = win32FontDirectory()
-
-            fontpaths = [fontdir]
-            # now get all installed fonts directly...
-            for f in win32InstalledFonts(fontdir):
-                base, ext = os.path.splitext(f)
-                if len(ext)>1 and ext[1:].lower() in fontexts:
-                    fontfiles[f] = 1
+            installed_fonts = _get_win32_installed_fonts()
+            fontpaths = []
         else:
-            fontpaths = X11FontDirectories
-            # check for OS X & load its fonts if present
+            installed_fonts = _get_fontconfig_fonts()
             if sys.platform == 'darwin':
-                for f in OSXInstalledFonts(fontext=fontext):
-                    fontfiles[f] = 1
-
-            for f in get_fontconfig_fonts(fontext):
-                fontfiles[f] = 1
+                installed_fonts += _get_macos_fonts()
+                fontpaths = [*X11FontDirectories, *OSXFontDirectories]
+            else:
+                fontpaths = X11FontDirectories
+        fontfiles.update(str(path) for path in installed_fonts
+                         if path.suffix.lower()[1:] in fontexts)
 
-    elif isinstance(fontpaths, six.string_types):
+    elif isinstance(fontpaths, str):
         fontpaths = [fontpaths]
 
     for path in fontpaths:
-        files = list_fonts(path, fontexts)
-        for fname in files:
-            fontfiles[os.path.abspath(fname)] = 1
-
-    return [fname for fname in six.iterkeys(fontfiles) if os.path.exists(fname)]
+        fontfiles.update(map(os.path.abspath, list_fonts(path, fontexts)))
 
-def weight_as_number(weight):
-    """
-    Return the weight property as a numeric value.  String values
-    are converted to their corresponding numeric value.
-    """
-    if isinstance(weight, six.string_types):
-        try:
-            weight = weight_dict[weight.lower()]
-        except KeyError:
-            weight = 400
-    elif weight in range(100, 1000, 100):
-        pass
-    else:
-        raise ValueError('weight not a valid integer')
-    return weight
+    return [fname for fname in fontfiles if os.path.exists(fname)]
 
 
-class FontEntry(object):
+@dataclasses.dataclass(frozen=True)
+class FontEntry:
     """
-    A class for storing Font properties.  It is used when populating
-    the font lookup dictionary.
+    A class for storing Font properties.
+
+    It is used when populating the font lookup dictionary.
     """
-    def __init__(self,
-                 fname  ='',
-                 name   ='',
-                 style  ='normal',
-                 variant='normal',
-                 weight ='normal',
-                 stretch='normal',
-                 size   ='medium',
-                 ):
-        self.fname   = fname
-        self.name    = name
-        self.style   = style
-        self.variant = variant
-        self.weight  = weight
-        self.stretch = stretch
-        try:
-            self.size = str(float(size))
-        except ValueError:
-            self.size = size
 
-    def __repr__(self):
-        return "<Font '%s' (%s) %s %s %s %s>" % (
-            self.name, os.path.basename(self.fname), self.style, self.variant,
-            self.weight, self.stretch)
+    fname: str = ''
+    name: str = ''
+    style: str = 'normal'
+    variant: str = 'normal'
+    weight: str | int = 'normal'
+    stretch: str = 'normal'
+    size: str = 'medium'
+
+    def _repr_html_(self) -> str:
+        png_stream = self._repr_png_()
+        png_b64 = b64encode(png_stream).decode()
+        return f"<img src=\"data:image/png;base64, {png_b64}\" />"
+
+    def _repr_png_(self) -> bytes:
+        from matplotlib.figure import Figure  # Circular import.
+        fig = Figure()
+        font_path = Path(self.fname) if self.fname != '' else None
+        fig.text(0, 0, self.name, font=font_path)
+        with BytesIO() as buf:
+            fig.savefig(buf, bbox_inches='tight', transparent=True)
+            return buf.getvalue()
 
 
 def ttfFontProperty(font):
     """
-    A function for populating the :class:`FontKey` by extracting
-    information from the TrueType font file.
+    Extract information from a TrueType font file.
+
+    Parameters
+    ----------
+    font : `.FT2Font`
+        The TrueType font file from which information will be extracted.
+
+    Returns
+    -------
+    `FontEntry`
+        The extracted font properties.
 
-    *font* is a :class:`FT2Font` instance.
     """
     name = font.family_name
 
     #  Styles are: italic, oblique, and normal (default)
 
     sfnt = font.get_sfnt()
-    sfnt2 = sfnt.get((1,0,0,2))
-    sfnt4 = sfnt.get((1,0,0,4))
-    if sfnt2:
-        sfnt2 = sfnt2.decode('macroman').lower()
-    else:
-        sfnt2 = ''
-    if sfnt4:
-        sfnt4 = sfnt4.decode('macroman').lower()
-    else:
-        sfnt4 = ''
+    mac_key = (1,  # platform: macintosh
+               0,  # id: roman
+               0)  # langid: english
+    ms_key = (3,  # platform: microsoft
+              1,  # id: unicode_cs
+              0x0409)  # langid: english_united_states
+
+    # These tables are actually mac_roman-encoded, but mac_roman support may be
+    # missing in some alternative Python implementations and we are only going
+    # to look for ASCII substrings, where any ASCII-compatible encoding works
+    # - or big-endian UTF-16, since important Microsoft fonts use that.
+    sfnt2 = (sfnt.get((*mac_key, 2), b'').decode('latin-1').lower() or
+             sfnt.get((*ms_key, 2), b'').decode('utf_16_be').lower())
+    sfnt4 = (sfnt.get((*mac_key, 4), b'').decode('latin-1').lower() or
+             sfnt.get((*ms_key, 4), b'').decode('utf_16_be').lower())
+
     if sfnt4.find('oblique') >= 0:
         style = 'oblique'
     elif sfnt4.find('italic') >= 0:
         style = 'italic'
     elif sfnt2.find('regular') >= 0:
         style = 'normal'
-    elif font.style_flags & ft2font.ITALIC:
+    elif ft2font.StyleFlags.ITALIC in font.style_flags:
         style = 'italic'
     else:
         style = 'normal'
 
-
     #  Variants are: small-caps and normal (default)
 
     #  !!!!  Untested
@@ -422,21 +392,47 @@ def ttfFontProperty(font):
     else:
         variant = 'normal'
 
-    #  Weights are: 100, 200, 300, 400 (normal: default), 500 (medium),
-    #    600 (semibold, demibold), 700 (bold), 800 (heavy), 900 (black)
-    #    lighter and bolder are also allowed.
-
-    weight = None
-    for w in six.iterkeys(weight_dict):
-        if sfnt4.find(w) >= 0:
-            weight = w
-            break
-    if not weight:
-        if font.style_flags & ft2font.BOLD:
-            weight = 700
+    # The weight-guessing algorithm is directly translated from fontconfig
+    # 2.13.1's FcFreeTypeQueryFaceInternal (fcfreetype.c).
+    wws_subfamily = 22
+    typographic_subfamily = 16
+    font_subfamily = 2
+    styles = [
+        sfnt.get((*mac_key, wws_subfamily), b'').decode('latin-1'),
+        sfnt.get((*mac_key, typographic_subfamily), b'').decode('latin-1'),
+        sfnt.get((*mac_key, font_subfamily), b'').decode('latin-1'),
+        sfnt.get((*ms_key, wws_subfamily), b'').decode('utf-16-be'),
+        sfnt.get((*ms_key, typographic_subfamily), b'').decode('utf-16-be'),
+        sfnt.get((*ms_key, font_subfamily), b'').decode('utf-16-be'),
+    ]
+    styles = [*filter(None, styles)] or [font.style_name]
+
+    def get_weight():  # From fontconfig's FcFreeTypeQueryFaceInternal.
+        # OS/2 table weight.
+        os2 = font.get_sfnt_table("OS/2")
+        if os2 and os2["version"] != 0xffff:
+            return os2["usWeightClass"]
+        # PostScript font info weight.
+        try:
+            ps_font_info_weight = (
+                font.get_ps_font_info()["weight"].replace(" ", "") or "")
+        except ValueError:
+            pass
         else:
-            weight = 400
-    weight = weight_as_number(weight)
+            for regex, weight in _weight_regexes:
+                if re.fullmatch(regex, ps_font_info_weight, re.I):
+                    return weight
+        # Style name weight.
+        for style in styles:
+            style = style.replace(" ", "")
+            for regex, weight in _weight_regexes:
+                if re.search(regex, style, re.I):
+                    return weight
+        if ft2font.StyleFlags.BOLD in font.style_flags:
+            return 700  # "bold"
+        return 500  # "medium", not "regular"!
+
+    weight = int(get_weight())
 
     #  Stretch can be absolute and relative
     #  Absolute stretches are: ultra-condensed, extra-condensed, condensed,
@@ -445,12 +441,11 @@ def ttfFontProperty(font):
     #  Relative stretches are: wider, narrower
     #  Child value is: inherit
 
-    if sfnt4.find('narrow') >= 0 or sfnt4.find('condensed') >= 0 or \
-           sfnt4.find('cond') >= 0:
+    if any(word in sfnt4 for word in ['narrow', 'condensed', 'cond']):
         stretch = 'condensed'
-    elif sfnt4.find('demi cond') >= 0:
+    elif 'demi cond' in sfnt4:
         stretch = 'semi-condensed'
-    elif sfnt4.find('wide') >= 0 or sfnt4.find('expanded') >= 0:
+    elif any(word in sfnt4 for word in ['wide', 'expanded', 'extended']):
         stretch = 'expanded'
     else:
         stretch = 'normal'
@@ -462,24 +457,28 @@ def ttfFontProperty(font):
     #  Length value is an absolute font size, e.g., 12pt
     #  Percentage values are in 'em's.  Most robust specification.
 
-    #  !!!!  Incomplete
-    if font.scalable:
-        size = 'scalable'
-    else:
-        size = str(float(font.get_fontsize()))
-
-    #  !!!!  Incomplete
-    size_adjust = None
+    if not font.scalable:
+        raise NotImplementedError("Non-scalable fonts are not supported")
+    size = 'scalable'
 
     return FontEntry(font.fname, name, style, variant, weight, stretch, size)
 
 
 def afmFontProperty(fontpath, font):
     """
-    A function for populating a :class:`FontKey` instance by
-    extracting information from the AFM font file.
-
-    *font* is a class:`AFM` instance.
+    Extract information from an AFM font file.
+
+    Parameters
+    ----------
+    fontpath : str
+        The filename corresponding to *font*.
+    font : AFM
+        The AFM font file from which information will be extracted.
+
+    Returns
+    -------
+    `FontEntry`
+        The extracted font properties.
     """
 
     name = font.get_familyname()
@@ -487,9 +486,9 @@ def afmFontProperty(fontpath, font):
 
     #  Styles are: italic, oblique, and normal (default)
 
-    if font.get_angle() != 0 or name.lower().find('italic') >= 0:
+    if font.get_angle() != 0 or 'italic' in name.lower():
         style = 'italic'
-    elif name.lower().find('oblique') >= 0:
+    elif 'oblique' in name.lower():
         style = 'oblique'
     else:
         style = 'normal'
@@ -502,11 +501,9 @@ def afmFontProperty(fontpath, font):
     else:
         variant = 'normal'
 
-    #  Weights are: 100, 200, 300, 400 (normal: default), 500 (medium),
-    #    600 (semibold, demibold), 700 (bold), 800 (heavy), 900 (black)
-    #    lighter and bolder are also allowed.
-
-    weight = weight_as_number(font.get_weight().lower())
+    weight = font.get_weight().lower()
+    if weight not in weight_dict:
+        weight = 'normal'
 
     #  Stretch can be absolute and relative
     #  Absolute stretches are: ultra-condensed, extra-condensed, condensed,
@@ -514,12 +511,11 @@ def afmFontProperty(fontpath, font):
     #    and ultra-expanded.
     #  Relative stretches are: wider, narrower
     #  Child value is: inherit
-    if fontname.find('narrow') >= 0 or fontname.find('condensed') >= 0 or \
-           fontname.find('cond') >= 0:
-        stretch = 'condensed'
-    elif fontname.find('demi cond') >= 0:
+    if 'demi cond' in fontname:
         stretch = 'semi-condensed'
-    elif fontname.find('wide') >= 0 or fontname.find('expanded') >= 0:
+    elif any(word in fontname for word in ['narrow', 'cond']):
+        stretch = 'condensed'
+    elif any(word in fontname for word in ['wide', 'expanded', 'extended']):
         stretch = 'expanded'
     else:
         stretch = 'normal'
@@ -535,157 +531,133 @@ def afmFontProperty(fontpath, font):
 
     size = 'scalable'
 
-    # !!!!  Incomplete
-    size_adjust = None
-
     return FontEntry(fontpath, name, style, variant, weight, stretch, size)
 
 
-def createFontList(fontfiles, fontext='ttf'):
-    """
-    A function to create a font lookup list.  The default is to create
-    a list of TrueType fonts.  An AFM font list can optionally be
-    created.
+def _cleanup_fontproperties_init(init_method):
     """
+    A decorator to limit the call signature to single a positional argument
+    or alternatively only keyword arguments.
 
-    fontlist = []
-    #  Add fonts from list of known font files.
-    seen = {}
-    for fpath in fontfiles:
-        verbose.report('createFontDict: %s' % (fpath), 'debug')
-        fname = os.path.split(fpath)[1]
-        if fname in seen:  continue
-        else: seen[fname] = 1
-        if fontext == 'afm':
-            try:
-                fh = open(fpath, 'rb')
-            except:
-                verbose.report("Could not open font file %s" % fpath)
-                continue
-            try:
-                try:
-                    font = afm.AFM(fh)
-                finally:
-                    fh.close()
-            except RuntimeError:
-                verbose.report("Could not parse font file %s"%fpath)
-                continue
-            try:
-                prop = afmFontProperty(fpath, font)
-            except KeyError:
-                continue
-        else:
-            try:
-                font = ft2font.FT2Font(fpath)
-            except RuntimeError:
-                verbose.report("Could not open font file %s"%fpath)
-                continue
-            except UnicodeError:
-                verbose.report("Cannot handle unicode filenames")
-                #print >> sys.stderr, 'Bad file is', fpath
-                continue
-            try:
-                prop = ttfFontProperty(font)
-            except KeyError:
-                continue
+    We still accept but deprecate all other call signatures.
+
+    When the deprecation expires we can switch the signature to::
 
-        fontlist.append(prop)
-    return fontlist
+        __init__(self, pattern=None, /, *, family=None, style=None, ...)
 
-class FontProperties(object):
+    plus a runtime check that pattern is not used alongside with the
+    keyword arguments. This results eventually in the two possible
+    call signatures::
+
+        FontProperties(pattern)
+        FontProperties(family=..., size=..., ...)
+
+    """
+    @functools.wraps(init_method)
+    def wrapper(self, *args, **kwargs):
+        # multiple args with at least some positional ones
+        if len(args) > 1 or len(args) == 1 and kwargs:
+            # Note: Both cases were previously handled as individual properties.
+            # Therefore, we do not mention the case of font properties here.
+            _api.warn_deprecated(
+                "3.10",
+                message="Passing individual properties to FontProperties() "
+                        "positionally was deprecated in Matplotlib %(since)s and "
+                        "will be removed in %(removal)s. Please pass all properties "
+                        "via keyword arguments."
+            )
+        # single non-string arg -> clearly a family not a pattern
+        if len(args) == 1 and not kwargs and not cbook.is_scalar_or_string(args[0]):
+            # Case font-family list passed as single argument
+            _api.warn_deprecated(
+                "3.10",
+                message="Passing family as positional argument to FontProperties() "
+                        "was deprecated in Matplotlib %(since)s and will be removed "
+                        "in %(removal)s. Please pass family names as keyword"
+                        "argument."
+            )
+        # Note on single string arg:
+        # This has been interpreted as pattern so far. We are already raising if a
+        # non-pattern compatible family string was given. Therefore, we do not need
+        # to warn for this case.
+        return init_method(self, *args, **kwargs)
+
+    return wrapper
+
+
+class FontProperties:
     """
     A class for storing and manipulating font properties.
 
-    The font properties are those described in the `W3C Cascading
-    Style Sheet, Level 1
+    The font properties are the six properties described in the
+    `W3C Cascading Style Sheet, Level 1
     <http://www.w3.org/TR/1998/REC-CSS2-19980512/>`_ font
-    specification.  The six properties are:
+    specification and *math_fontfamily* for math fonts:
 
-      - family: A list of font names in decreasing order of priority.
-        The items may include a generic font family name, either
-        'serif', 'sans-serif', 'cursive', 'fantasy', or 'monospace'.
-        In that case, the actual font to be used will be looked up
-        from the associated rcParam in :file:`matplotlibrc`.
+    - family: A list of font names in decreasing order of priority.
+      The items may include a generic font family name, either 'sans-serif',
+      'serif', 'cursive', 'fantasy', or 'monospace'.  In that case, the actual
+      font to be used will be looked up from the associated rcParam during the
+      search process in `.findfont`. Default: :rc:`font.family`
 
-      - style: Either 'normal', 'italic' or 'oblique'.
+    - style: Either 'normal', 'italic' or 'oblique'.
+      Default: :rc:`font.style`
 
-      - variant: Either 'normal' or 'small-caps'.
+    - variant: Either 'normal' or 'small-caps'.
+      Default: :rc:`font.variant`
 
-      - stretch: A numeric value in the range 0-1000 or one of
-        'ultra-condensed', 'extra-condensed', 'condensed',
-        'semi-condensed', 'normal', 'semi-expanded', 'expanded',
-        'extra-expanded' or 'ultra-expanded'
+    - stretch: A numeric value in the range 0-1000 or one of
+      'ultra-condensed', 'extra-condensed', 'condensed',
+      'semi-condensed', 'normal', 'semi-expanded', 'expanded',
+      'extra-expanded' or 'ultra-expanded'. Default: :rc:`font.stretch`
 
-      - weight: A numeric value in the range 0-1000 or one of
-        'ultralight', 'light', 'normal', 'regular', 'book', 'medium',
-        'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy',
-        'extra bold', 'black'
+    - weight: A numeric value in the range 0-1000 or one of
+      'ultralight', 'light', 'normal', 'regular', 'book', 'medium',
+      'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy',
+      'extra bold', 'black'. Default: :rc:`font.weight`
 
-      - size: Either an relative value of 'xx-small', 'x-small',
-        'small', 'medium', 'large', 'x-large', 'xx-large' or an
-        absolute font size, e.g., 12
+    - size: Either a relative value of 'xx-small', 'x-small',
+      'small', 'medium', 'large', 'x-large', 'xx-large' or an
+      absolute font size, e.g., 10. Default: :rc:`font.size`
 
-    The default font property for TrueType fonts (as specified in the
-    default :file:`matplotlibrc` file) is::
+    - math_fontfamily: The family of fonts used to render math text.
+      Supported values are: 'dejavusans', 'dejavuserif', 'cm',
+      'stix', 'stixsans' and 'custom'. Default: :rc:`mathtext.fontset`
 
-      sans-serif, normal, normal, normal, normal, scalable.
-
-    Alternatively, a font may be specified using an absolute path to a
-    .ttf file, by using the *fname* kwarg.
+    Alternatively, a font may be specified using the absolute path to a font
+    file, by using the *fname* kwarg.  However, in this case, it is typically
+    simpler to just pass the path (as a `pathlib.Path`, not a `str`) to the
+    *font* kwarg of the `.Text` object.
 
     The preferred usage of font sizes is to use the relative values,
     e.g.,  'large', instead of absolute font sizes, e.g., 12.  This
     approach allows all text sizes to be made larger or smaller based
     on the font manager's default font size.
 
-    This class will also accept a `fontconfig
-    <http://www.fontconfig.org/>`_ pattern, if it is the only argument
-    provided.  See the documentation on `fontconfig patterns
-    <http://www.fontconfig.org/fontconfig-user.html>`_.  This support
-    does not require fontconfig to be installed.  We are merely
-    borrowing its pattern syntax for use here.
+    This class accepts a single positional string as fontconfig_ pattern_,
+    or alternatively individual properties as keyword arguments::
+
+        FontProperties(pattern)
+        FontProperties(*, family=None, style=None, variant=None, ...)
+
+    This support does not depend on fontconfig; we are merely borrowing its
+    pattern syntax for use here.
+
+    .. _fontconfig: https://www.freedesktop.org/wiki/Software/fontconfig/
+    .. _pattern:
+       https://www.freedesktop.org/software/fontconfig/fontconfig-user.html
 
-    Note that matplotlib's internal font manager and fontconfig use a
+    Note that Matplotlib's internal font manager and fontconfig use a
     different algorithm to lookup fonts, so the results of the same pattern
-    may be different in matplotlib than in other applications that use
+    may be different in Matplotlib than in other applications that use
     fontconfig.
     """
 
-    def __init__(self,
-                 family = None,
-                 style  = None,
-                 variant= None,
-                 weight = None,
-                 stretch= None,
-                 size   = None,
-                 fname  = None, # if this is set, it's a hardcoded filename to use
-                 _init   = None  # used only by copy()
-                 ):
-        self._family = None
-        self._slant = None
-        self._variant = None
-        self._weight = None
-        self._stretch = None
-        self._size = None
-        self._file = None
-
-        # This is used only by copy()
-        if _init is not None:
-            self.__dict__.update(_init.__dict__)
-            return
-
-        if is_string_like(family):
-            # Treat family as a fontconfig pattern if it is the only
-            # parameter provided.
-            if (style is None and
-                variant is None and
-                weight is None and
-                stretch is None and
-                size is None and
-                fname is None):
-                self.set_fontconfig_pattern(family)
-                return
-
+    @_cleanup_fontproperties_init
+    def __init__(self, family=None, style=None, variant=None, weight=None,
+                 stretch=None, size=None,
+                 fname=None,  # if set, it's a hardcoded filename to use
+                 math_fontfamily=None):
         self.set_family(family)
         self.set_style(style)
         self.set_variant(variant)
@@ -693,9 +665,37 @@ def __init__(self,
         self.set_stretch(stretch)
         self.set_file(fname)
         self.set_size(size)
-
-    def _parse_fontconfig_pattern(self, pattern):
-        return parse_fontconfig_pattern(pattern)
+        self.set_math_fontfamily(math_fontfamily)
+        # Treat family as a fontconfig pattern if it is the only parameter
+        # provided.  Even in that case, call the other setters first to set
+        # attributes not specified by the pattern to the rcParams defaults.
+        if (isinstance(family, str)
+                and style is None and variant is None and weight is None
+                and stretch is None and size is None and fname is None):
+            self.set_fontconfig_pattern(family)
+
+    @classmethod
+    def _from_any(cls, arg):
+        """
+        Generic constructor which can build a `.FontProperties` from any of the
+        following:
+
+        - a `.FontProperties`: it is passed through as is;
+        - `None`: a `.FontProperties` using rc values is used;
+        - an `os.PathLike`: it is used as path to the font file;
+        - a `str`: it is parsed as a fontconfig pattern;
+        - a `dict`: it is passed as ``**kwargs`` to `.FontProperties`.
+        """
+        if arg is None:
+            return cls()
+        elif isinstance(arg, cls):
+            return arg
+        elif isinstance(arg, os.PathLike):
+            return cls(fname=arg)
+        elif isinstance(arg, str):
+            return cls(arg)
+        else:
+            return cls(**arg)
 
     def __hash__(self):
         l = (tuple(self.get_family()),
@@ -703,54 +703,43 @@ def __hash__(self):
              self.get_variant(),
              self.get_weight(),
              self.get_stretch(),
-             self.get_size_in_points(),
-             self.get_file())
+             self.get_size(),
+             self.get_file(),
+             self.get_math_fontfamily())
         return hash(l)
 
     def __eq__(self, other):
         return hash(self) == hash(other)
 
-    def __ne__(self, other):
-        return hash(self) != hash(other)
-
     def __str__(self):
         return self.get_fontconfig_pattern()
 
     def get_family(self):
         """
-        Return a list of font names that comprise the font family.
+        Return a list of individual font family names or generic family names.
+
+        The font families or generic font families (which will be resolved
+        from their respective rcParams when searching for a matching font) in
+        the order of preference.
         """
-        if self._family is None:
-            family = rcParams['font.family']
-            if is_string_like(family):
-                return [family]
-            return family
         return self._family
 
     def get_name(self):
         """
-        Return the name of the font that best matches the font
-        properties.
+        Return the name of the font that best matches the font properties.
         """
-        return ft2font.FT2Font(findfont(self)).family_name
+        return get_font(findfont(self)).family_name
 
     def get_style(self):
         """
-        Return the font style.  Values are: 'normal', 'italic' or
-        'oblique'.
+        Return the font style.  Values are: 'normal', 'italic' or 'oblique'.
         """
-        if self._slant is None:
-            return rcParams['font.style']
         return self._slant
-    get_slant = get_style
 
     def get_variant(self):
         """
-        Return the font variant.  Values are: 'normal' or
-        'small-caps'.
+        Return the font variant.  Values are: 'normal' or 'small-caps'.
         """
-        if self._variant is None:
-            return rcParams['font.variant']
         return self._variant
 
     def get_weight(self):
@@ -760,8 +749,6 @@ def get_weight(self):
         'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold',
         'heavy', 'extra bold', 'black'
         """
-        if self._weight is None:
-            return rcParams['font.weight']
         return self._weight
 
     def get_stretch(self):
@@ -770,27 +757,14 @@ def get_stretch(self):
         'extra-condensed', 'condensed', 'semi-condensed', 'normal',
         'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'.
         """
-        if self._stretch is None:
-            return rcParams['font.stretch']
         return self._stretch
 
     def get_size(self):
         """
         Return the font size.
         """
-        if self._size is None:
-            return rcParams['font.size']
         return self._size
 
-    def get_size_in_points(self):
-        if self._size is not None:
-            try:
-                return float(self._size)
-            except ValueError:
-                pass
-        default_size = FontManager.get_default_size()
-        return default_size * font_scalings.get(self._size)
-
     def get_file(self):
         """
         Return the filename of the associated font.
@@ -799,104 +773,128 @@ def get_file(self):
 
     def get_fontconfig_pattern(self):
         """
-        Get a fontconfig pattern suitable for looking up the font as
+        Get a fontconfig_ pattern_ suitable for looking up the font as
         specified with fontconfig's ``fc-match`` utility.
 
-        See the documentation on `fontconfig patterns
-        <http://www.fontconfig.org/fontconfig-user.html>`_.
-
-        This support does not require fontconfig to be installed or
-        support for it to be enabled.  We are merely borrowing its
+        This support does not depend on fontconfig; we are merely borrowing its
         pattern syntax for use here.
         """
         return generate_fontconfig_pattern(self)
 
     def set_family(self, family):
         """
-        Change the font family.  May be either an alias (generic name
+        Change the font family.  Can be either an alias (generic name
         is CSS parlance), such as: 'serif', 'sans-serif', 'cursive',
         'fantasy', or 'monospace', a real font name or a list of real
         font names.  Real font names are not supported when
-        `text.usetex` is `True`.
+        :rc:`text.usetex` is `True`. Default: :rc:`font.family`
         """
-        if family is None:
-            family = rcParams['font.family']
-        if is_string_like(family):
+        family = mpl._val_or_rc(family, 'font.family')
+        if isinstance(family, str):
             family = [family]
         self._family = family
-    set_name = set_family
 
     def set_style(self, style):
         """
-        Set the font style.  Values are: 'normal', 'italic' or
-        'oblique'.
+        Set the font style.
+
+        Parameters
+        ----------
+        style : {'normal', 'italic', 'oblique'}, default: :rc:`font.style`
         """
-        if style is None:
-            style = rcParams['font.style']
-        if style not in ('normal', 'italic', 'oblique', None):
-            raise ValueError("style must be normal, italic or oblique")
+        style = mpl._val_or_rc(style, 'font.style')
+        _api.check_in_list(['normal', 'italic', 'oblique'], style=style)
         self._slant = style
-    set_slant = set_style
 
     def set_variant(self, variant):
         """
-        Set the font variant.  Values are: 'normal' or 'small-caps'.
+        Set the font variant.
+
+        Parameters
+        ----------
+        variant : {'normal', 'small-caps'}, default: :rc:`font.variant`
         """
-        if variant is None:
-            variant = rcParams['font.variant']
-        if variant not in ('normal', 'small-caps', None):
-            raise ValueError("variant must be normal or small-caps")
+        variant = mpl._val_or_rc(variant, 'font.variant')
+        _api.check_in_list(['normal', 'small-caps'], variant=variant)
         self._variant = variant
 
     def set_weight(self, weight):
         """
-        Set the font weight.  May be either a numeric value in the
-        range 0-1000 or one of 'ultralight', 'light', 'normal',
-        'regular', 'book', 'medium', 'roman', 'semibold', 'demibold',
-        'demi', 'bold', 'heavy', 'extra bold', 'black'
+        Set the font weight.
+
+        Parameters
+        ----------
+        weight : int or {'ultralight', 'light', 'normal', 'regular', 'book', \
+'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', \
+'extra bold', 'black'}, default: :rc:`font.weight`
+            If int, must be in the range  0-1000.
         """
-        if weight is None:
-            weight = rcParams['font.weight']
+        weight = mpl._val_or_rc(weight, 'font.weight')
+        if weight in weight_dict:
+            self._weight = weight
+            return
         try:
             weight = int(weight)
-            if weight < 0 or weight > 1000:
-                raise ValueError()
         except ValueError:
-            if weight not in weight_dict:
-                raise ValueError("weight is invalid")
-        self._weight = weight
+            pass
+        else:
+            if 0 <= weight <= 1000:
+                self._weight = weight
+                return
+        raise ValueError(f"{weight=} is invalid")
 
     def set_stretch(self, stretch):
         """
-        Set the font stretch or width.  Options are: 'ultra-condensed',
-        'extra-condensed', 'condensed', 'semi-condensed', 'normal',
-        'semi-expanded', 'expanded', 'extra-expanded' or
-        'ultra-expanded', or a numeric value in the range 0-1000.
+        Set the font stretch or width.
+
+        Parameters
+        ----------
+        stretch : int or {'ultra-condensed', 'extra-condensed', 'condensed', \
+'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', \
+'ultra-expanded'}, default: :rc:`font.stretch`
+            If int, must be in the range  0-1000.
         """
-        if stretch is None:
-            stretch = rcParams['font.stretch']
+        stretch = mpl._val_or_rc(stretch, 'font.stretch')
+        if stretch in stretch_dict:
+            self._stretch = stretch
+            return
         try:
             stretch = int(stretch)
-            if stretch < 0 or stretch > 1000:
-                raise ValueError()
         except ValueError:
-            if stretch not in stretch_dict:
-                raise ValueError("stretch is invalid")
-        self._stretch = stretch
+            pass
+        else:
+            if 0 <= stretch <= 1000:
+                self._stretch = stretch
+                return
+        raise ValueError(f"{stretch=} is invalid")
 
     def set_size(self, size):
         """
-        Set the font size.  Either an relative value of 'xx-small',
-        'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'
-        or an absolute font size, e.g., 12.
+        Set the font size.
+
+        Parameters
+        ----------
+        size : float or {'xx-small', 'x-small', 'small', 'medium', \
+'large', 'x-large', 'xx-large'}, default: :rc:`font.size`
+            If a float, the font size in points. The string values denote
+            sizes relative to the default font size.
         """
-        if size is None:
-            size = rcParams['font.size']
+        size = mpl._val_or_rc(size, 'font.size')
         try:
             size = float(size)
         except ValueError:
-            if size is not None and size not in font_scalings:
-                raise ValueError("size is invalid")
+            try:
+                scale = font_scalings[size]
+            except KeyError as err:
+                raise ValueError(
+                    "Size is invalid. Valid font size are "
+                    + ", ".join(map(str, font_scalings))) from err
+            else:
+                size = scale * FontManager.get_default_size()
+        if size < 1.0:
+            _log.info('Fontsize %1.2f < 1.0 pt not allowed by FreeType. '
+                      'Setting fontsize = 1 pt', size)
+            size = 1.0
         self._size = size
 
     def set_file(self, file):
@@ -904,111 +902,170 @@ def set_file(self, file):
         Set the filename of the fontfile to use.  In this case, all
         other properties will be ignored.
         """
-        self._file = file
+        self._file = os.fspath(file) if file is not None else None
 
     def set_fontconfig_pattern(self, pattern):
         """
-        Set the properties by parsing a fontconfig *pattern*.
-
-        See the documentation on `fontconfig patterns
-        <http://www.fontconfig.org/fontconfig-user.html>`_.
+        Set the properties by parsing a fontconfig_ *pattern*.
 
-        This support does not require fontconfig to be installed or
-        support for it to be enabled.  We are merely borrowing its
+        This support does not depend on fontconfig; we are merely borrowing its
         pattern syntax for use here.
         """
-        for key, val in six.iteritems(self._parse_fontconfig_pattern(pattern)):
-            if type(val) == list:
+        for key, val in parse_fontconfig_pattern(pattern).items():
+            if type(val) is list:
                 getattr(self, "set_" + key)(val[0])
             else:
                 getattr(self, "set_" + key)(val)
 
+    def get_math_fontfamily(self):
+        """
+        Return the name of the font family used for math text.
+
+        The default font is :rc:`mathtext.fontset`.
+        """
+        return self._math_fontfamily
+
+    def set_math_fontfamily(self, fontfamily):
+        """
+        Set the font family for text in math mode.
+
+        If not set explicitly, :rc:`mathtext.fontset` will be used.
+
+        Parameters
+        ----------
+        fontfamily : str
+            The name of the font family.
+
+            Available font families are defined in the
+            :ref:`default matplotlibrc file <customizing-with-matplotlibrc-files>`.
+
+        See Also
+        --------
+        .text.Text.get_math_fontfamily
+        """
+        if fontfamily is None:
+            fontfamily = mpl.rcParams['mathtext.fontset']
+        else:
+            valid_fonts = _validators['mathtext.fontset'].valid.values()
+            # _check_in_list() Validates the parameter math_fontfamily as
+            # if it were passed to rcParams['mathtext.fontset']
+            _api.check_in_list(valid_fonts, math_fontfamily=fontfamily)
+        self._math_fontfamily = fontfamily
+
     def copy(self):
-        """Return a deep copy of self"""
-        return FontProperties(_init = self)
+        """Return a copy of self."""
+        return copy.copy(self)
 
-def ttfdict_to_fnames(d):
-    """
-    flatten a ttfdict to all the filenames it contains
-    """
-    fnames = []
-    for named in six.itervalues(d):
-        for styled in six.itervalues(named):
-            for variantd in six.itervalues(styled):
-                for weightd in six.itervalues(variantd):
-                    for stretchd in six.itervalues(weightd):
-                        for fname in six.itervalues(stretchd):
-                            fnames.append(fname)
-    return fnames
-
-def pickle_dump(data, filename):
-    """
-    Equivalent to pickle.dump(data, open(filename, 'w'))
-    but closes the file to prevent filehandle leakage.
-    """
-    with open(filename, 'wb') as fh:
-        pickle.dump(data, fh)
+    # Aliases
+    set_name = set_family
+    get_slant = get_style
+    set_slant = set_style
+    get_size_in_points = get_size
+
+
+class _JSONEncoder(json.JSONEncoder):
+    def default(self, o):
+        if isinstance(o, FontManager):
+            return dict(o.__dict__, __class__='FontManager')
+        elif isinstance(o, FontEntry):
+            d = dict(o.__dict__, __class__='FontEntry')
+            try:
+                # Cache paths of fonts shipped with Matplotlib relative to the
+                # Matplotlib data path, which helps in the presence of venvs.
+                d["fname"] = str(Path(d["fname"]).relative_to(mpl.get_data_path()))
+            except ValueError:
+                pass
+            return d
+        else:
+            return super().default(o)
+
+
+def _json_decode(o):
+    cls = o.pop('__class__', None)
+    if cls is None:
+        return o
+    elif cls == 'FontManager':
+        r = FontManager.__new__(FontManager)
+        r.__dict__.update(o)
+        return r
+    elif cls == 'FontEntry':
+        if not os.path.isabs(o['fname']):
+            o['fname'] = os.path.join(mpl.get_data_path(), o['fname'])
+        r = FontEntry(**o)
+        return r
+    else:
+        raise ValueError("Don't know how to deserialize __class__=%s" % cls)
 
-def pickle_load(filename):
+
+def json_dump(data, filename):
     """
-    Equivalent to pickle.load(open(filename, 'r'))
-    but closes the file to prevent filehandle leakage.
+    Dump `FontManager` *data* as JSON to the file named *filename*.
+
+    See Also
+    --------
+    json_load
+
+    Notes
+    -----
+    File paths that are children of the Matplotlib data path (typically, fonts
+    shipped with Matplotlib) are stored relative to that data path (to remain
+    valid across virtualenvs).
+
+    This function temporarily locks the output file to prevent multiple
+    processes from overwriting one another's output.
     """
-    with open(filename, 'rb') as fh:
-        data = pickle.load(fh)
-    return data
+    try:
+        with cbook._lock_path(filename), open(filename, 'w') as fh:
+            json.dump(data, fh, cls=_JSONEncoder, indent=2)
+    except OSError as e:
+        _log.warning('Could not save font_manager cache %s', e)
 
 
-class TempCache(object):
+def json_load(filename):
     """
-    A class to store temporary caches that are (a) not saved to disk
-    and (b) invalidated whenever certain font-related
-    rcParams---namely the family lookup lists---are changed or the
-    font cache is reloaded.  This avoids the expensive linear search
-    through all fonts every time a font is looked up.
+    Load a `FontManager` from the JSON file named *filename*.
+
+    See Also
+    --------
+    json_dump
     """
-    # A list of rcparam names that, when changed, invalidated this
-    # cache.
-    invalidating_rcparams = (
-        'font.serif', 'font.sans-serif', 'font.cursive', 'font.fantasy',
-        'font.monospace')
-
-    def __init__(self):
-        self._lookup_cache = {}
-        self._last_rcParams = self.make_rcparams_key()
-
-    def make_rcparams_key(self):
-        return [id(fontManager)] + [
-            rcParams[param] for param in self.invalidating_rcparams]
-
-    def get(self, prop):
-        key = self.make_rcparams_key()
-        if key != self._last_rcParams:
-            self._lookup_cache = {}
-            self._last_rcParams = key
-        return self._lookup_cache.get(prop)
-
-    def set(self, prop, value):
-        key = self.make_rcparams_key()
-        if key != self._last_rcParams:
-            self._lookup_cache = {}
-            self._last_rcParams = key
-        self._lookup_cache[prop] = value
-
-
-class FontManager(object):
+    with open(filename) as fh:
+        return json.load(fh, object_hook=_json_decode)
+
+
+class FontManager:
     """
-    On import, the :class:`FontManager` singleton instance creates a
-    list of TrueType fonts based on the font properties: name, style,
-    variant, weight, stretch, and size.  The :meth:`findfont` method
-    does a nearest neighbor search to find the font that most closely
-    matches the specification.  If no good enough match is found, a
-    default font is returned.
+    On import, the `FontManager` singleton instance creates a list of ttf and
+    afm fonts and caches their `FontProperties`.  The `FontManager.findfont`
+    method does a nearest neighbor search to find the font that most closely
+    matches the specification.  If no good enough match is found, the default
+    font is returned.
+
+    Fonts added with the `FontManager.addfont` method will not persist in the
+    cache; therefore, `addfont` will need to be called every time Matplotlib is
+    imported. This method should only be used if and when a font cannot be
+    installed on your operating system by other means.
+
+    Notes
+    -----
+    The `FontManager.addfont` method must be called on the global `FontManager`
+    instance.
+
+    Example usage::
+
+        import matplotlib.pyplot as plt
+        from matplotlib import font_manager
+
+        font_dirs = ["/resources/fonts"]  # The path to the custom font file.
+        font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+        for font_file in font_files:
+            font_manager.fontManager.addfont(font_file)
     """
     # Increment this version number whenever the font cache data
-    # format or behavior has changed and requires a existing font
+    # format or behavior has changed and requires an existing font
     # cache files to be rebuilt.
-    __version__ = 101
+    __version__ = '3.11.0a1'
 
     def __init__(self, size=None, weight='normal'):
         self._version = self.__version__
@@ -1016,48 +1073,71 @@ def __init__(self, size=None, weight='normal'):
         self.__default_weight = weight
         self.default_size = size
 
-        paths = [os.path.join(rcParams['datapath'], 'fonts', 'ttf'),
-                 os.path.join(rcParams['datapath'], 'fonts', 'afm'),
-                 os.path.join(rcParams['datapath'], 'fonts', 'pdfcorefonts')]
-
-        #  Create list of font paths
-        for pathname in ['TTFPATH', 'AFMPATH']:
-            if pathname in os.environ:
-                ttfpath = os.environ[pathname]
-                if ttfpath.find(';') >= 0: #win32 style
-                    paths.extend(ttfpath.split(';'))
-                elif ttfpath.find(':') >= 0: # unix style
-                    paths.extend(ttfpath.split(':'))
-                else:
-                    paths.append(ttfpath)
-
-        verbose.report('font search path %s'%(str(paths)))
-        #  Load TrueType fonts and create font dictionary.
+        # Create list of font paths.
+        paths = [cbook._get_data_path('fonts', subdir)
+                 for subdir in ['ttf', 'afm', 'pdfcorefonts']]
+        _log.debug('font search path %s', paths)
 
-        self.ttffiles = findSystemFonts(paths) + findSystemFonts()
         self.defaultFamily = {
-            'ttf': 'Bitstream Vera Sans',
+            'ttf': 'DejaVu Sans',
             'afm': 'Helvetica'}
-        self.defaultFont = {}
 
-        for fname in self.ttffiles:
-            verbose.report('trying fontname %s' % fname, 'debug')
-            if fname.lower().find('vera.ttf')>=0:
-                self.defaultFont['ttf'] = fname
-                break
-        else:
-            # use anything
-            self.defaultFont['ttf'] = self.ttffiles[0]
+        self.afmlist = []
+        self.ttflist = []
 
-        self.ttflist = createFontList(self.ttffiles)
+        # Delay the warning by 5s.
+        timer = threading.Timer(5, lambda: _log.warning(
+            'Matplotlib is building the font cache; this may take a moment.'))
+        timer.start()
+        try:
+            for fontext in ["afm", "ttf"]:
+                for path in [*findSystemFonts(paths, fontext=fontext),
+                             *findSystemFonts(fontext=fontext)]:
+                    try:
+                        self.addfont(path)
+                    except OSError as exc:
+                        _log.info("Failed to open font file %s: %s", path, exc)
+                    except Exception as exc:
+                        _log.info("Failed to extract font properties from %s: "
+                                  "%s", path, exc)
+        finally:
+            timer.cancel()
 
-        self.afmfiles = findSystemFonts(paths, fontext='afm') + \
-            findSystemFonts(fontext='afm')
-        self.afmlist = createFontList(self.afmfiles, fontext='afm')
-        if len(self.afmfiles):
-            self.defaultFont['afm'] = self.afmfiles[0]
+    def addfont(self, path):
+        """
+        Cache the properties of the font at *path* to make it available to the
+        `FontManager`.  The type of font is inferred from the path suffix.
+
+        Parameters
+        ----------
+        path : str or path-like
+
+        Notes
+        -----
+        This method is useful for adding a custom font without installing it in
+        your operating system. See the `FontManager` singleton instance for
+        usage and caveats about this function.
+        """
+        # Convert to string in case of a path as
+        # afmFontProperty and FT2Font expect this
+        path = os.fsdecode(path)
+        if Path(path).suffix.lower() == ".afm":
+            with open(path, "rb") as fh:
+                font = _afm.AFM(fh)
+            prop = afmFontProperty(path, font)
+            self.afmlist.append(prop)
         else:
-            self.defaultFont['afm'] = None
+            font = ft2font.FT2Font(path)
+            prop = ttfFontProperty(font)
+            self.ttflist.append(prop)
+        self._findfont_cached.cache_clear()
+
+    @property
+    def defaultFont(self):
+        # Lazily evaluated (findfont then caches the result) to avoid including
+        # the venv path in the json serialization.
+        return {ext: self.findfont(family, fontext=ext)
+                for ext, family in self.defaultFamily.items()}
 
     def get_default_weight(self):
         """
@@ -1070,7 +1150,7 @@ def get_default_size():
         """
         Return the default font size.
         """
-        return rcParams['font.size']
+        return mpl.rcParams['font.size']
 
     def set_default_weight(self, weight):
         """
@@ -1078,50 +1158,47 @@ def set_default_weight(self, weight):
         """
         self.__default_weight = weight
 
-    def update_fonts(self, filenames):
-        """
-        Update the font dictionary with new font files.
-        Currently not implemented.
-        """
-        #  !!!!  Needs implementing
-        raise NotImplementedError
+    @staticmethod
+    def _expand_aliases(family):
+        if family in ('sans', 'sans serif'):
+            family = 'sans-serif'
+        return mpl.rcParams['font.' + family]
 
     # Each of the scoring functions below should return a value between
     # 0.0 (perfect match) and 1.0 (terrible match)
     def score_family(self, families, family2):
         """
-        Returns a match score between the list of font families in
+        Return a match score between the list of font families in
         *families* and the font family name *family2*.
 
-        An exact match anywhere in the list returns 0.0.
+        An exact match at the head of the list returns 0.0.
 
-        A match by generic font name will return 0.1.
+        A match further down the list will return between 0 and 1.
 
         No match will return 1.0.
         """
         if not isinstance(families, (list, tuple)):
             families = [families]
+        elif len(families) == 0:
+            return 1.0
         family2 = family2.lower()
+        step = 1 / len(families)
         for i, family1 in enumerate(families):
             family1 = family1.lower()
             if family1 in font_family_aliases:
-                if family1 in ('sans', 'sans serif'):
-                    family1 = 'sans-serif'
-                options = rcParams['font.' + family1]
-                options = [x.lower() for x in options]
+                options = [*map(str.lower, self._expand_aliases(family1))]
                 if family2 in options:
                     idx = options.index(family2)
-                    return ((0.1 * (idx / len(options))) *
-                            ((i + 1) / len(families)))
+                    return (i + (idx / len(options))) * step
             elif family1 == family2:
                 # The score should be weighted by where in the
                 # list the font was found.
-                return i / len(families)
+                return i * step
         return 1.0
 
     def score_style(self, style1, style2):
         """
-        Returns a match score between *style1* and *style2*.
+        Return a match score between *style1* and *style2*.
 
         An exact match returns 0.0.
 
@@ -1131,14 +1208,14 @@ def score_style(self, style1, style2):
         """
         if style1 == style2:
             return 0.0
-        elif style1 in ('italic', 'oblique') and \
-                style2 in ('italic', 'oblique'):
+        elif (style1 in ('italic', 'oblique')
+              and style2 in ('italic', 'oblique')):
             return 0.1
         return 1.0
 
     def score_variant(self, variant1, variant2):
         """
-        Returns a match score between *variant1* and *variant2*.
+        Return a match score between *variant1* and *variant2*.
 
         An exact match returns 0.0, otherwise 1.0.
         """
@@ -1149,7 +1226,7 @@ def score_variant(self, variant1, variant2):
 
     def score_stretch(self, stretch1, stretch2):
         """
-        Returns a match score between *stretch1* and *stretch2*.
+        Return a match score between *stretch1* and *stretch2*.
 
         The result is the absolute value of the difference between the
         CSS numeric values of *stretch1* and *stretch2*, normalized
@@ -1167,25 +1244,25 @@ def score_stretch(self, stretch1, stretch2):
 
     def score_weight(self, weight1, weight2):
         """
-        Returns a match score between *weight1* and *weight2*.
+        Return a match score between *weight1* and *weight2*.
 
-        The result is the absolute value of the difference between the
-        CSS numeric values of *weight1* and *weight2*, normalized
-        between 0.0 and 1.0.
+        The result is 0.0 if both weight1 and weight 2 are given as strings
+        and have the same value.
+
+        Otherwise, the result is the absolute value of the difference between
+        the CSS numeric values of *weight1* and *weight2*, normalized between
+        0.05 and 1.0.
         """
-        try:
-            weightval1 = int(weight1)
-        except ValueError:
-            weightval1 = weight_dict.get(weight1, 500)
-        try:
-            weightval2 = int(weight2)
-        except ValueError:
-            weightval2 = weight_dict.get(weight2, 500)
-        return abs(weightval1 - weightval2) / 1000.0
+        # exact match of the weight names, e.g. weight1 == weight2 == "regular"
+        if cbook._str_equal(weight1, weight2):
+            return 0.0
+        w1 = weight1 if isinstance(weight1, Number) else weight_dict[weight1]
+        w2 = weight2 if isinstance(weight2, Number) else weight_dict[weight2]
+        return 0.95 * (abs(w1 - w2) / 1000) + 0.05
 
     def score_size(self, size1, size2):
         """
-        Returns a match score between *size1* and *size2*.
+        Return a match score between *size1* and *size2*.
 
         If *size2* (the size specified in the font file) is 'scalable', this
         function always returns 0.0, since any font size can be generated.
@@ -1200,44 +1277,181 @@ def score_size(self, size1, size2):
         try:
             sizeval1 = float(size1)
         except ValueError:
-            sizeval1 = self.default_size * font_scalings(size1)
+            sizeval1 = self.default_size * font_scalings[size1]
         try:
             sizeval2 = float(size2)
         except ValueError:
             return 1.0
-        return abs(sizeval1 - sizeval2) / 72.0
+        return abs(sizeval1 - sizeval2) / 72
 
     def findfont(self, prop, fontext='ttf', directory=None,
                  fallback_to_default=True, rebuild_if_missing=True):
         """
-        Search the font list for the font that most closely matches
-        the :class:`FontProperties` *prop*.
-
-        :meth:`findfont` performs a nearest neighbor search.  Each
-        font is given a similarity score to the target font
-        properties.  The first font with the highest score is
-        returned.  If no matches below a certain threshold are found,
-        the default font (usually Vera Sans) is returned.
-
-        `directory`, is specified, will only return fonts from the
-        given directory (or subdirectory of that directory).
+        Find the path to the font file most closely matching the given font properties.
+
+        Parameters
+        ----------
+        prop : str or `~matplotlib.font_manager.FontProperties`
+            The font properties to search for. This can be either a
+            `.FontProperties` object or a string defining a
+            `fontconfig patterns`_.
+
+        fontext : {'ttf', 'afm'}, default: 'ttf'
+            The extension of the font file:
+
+            - 'ttf': TrueType and OpenType fonts (.ttf, .ttc, .otf)
+            - 'afm': Adobe Font Metrics (.afm)
+
+        directory : str, optional
+            If given, only search this directory and its subdirectories.
+
+        fallback_to_default : bool
+            If True, will fall back to the default font family (usually
+            "DejaVu Sans" or "Helvetica") if the first lookup hard-fails.
+
+        rebuild_if_missing : bool
+            Whether to rebuild the font cache and search again if the first
+            match appears to point to a nonexisting font (i.e., the font cache
+            contains outdated entries).
+
+        Returns
+        -------
+        str
+            The filename of the best matching font.
+
+        Notes
+        -----
+        This performs a nearest neighbor search.  Each font is given a
+        similarity score to the target font properties.  The first font with
+        the highest score is returned.  If no matches below a certain
+        threshold are found, the default font (usually DejaVu Sans) is
+        returned.
 
         The result is cached, so subsequent lookups don't have to
         perform the O(n) nearest neighbor search.
 
-        If `fallback_to_default` is True, will fallback to the default
-        font family (usually "Bitstream Vera Sans" or "Helvetica") if
-        the first lookup hard-fails.
-
         See the `W3C Cascading Style Sheet, Level 1
         <http://www.w3.org/TR/1998/REC-CSS2-19980512/>`_ documentation
         for a description of the font finding algorithm.
+
+        .. _fontconfig patterns:
+           https://www.freedesktop.org/software/fontconfig/fontconfig-user.html
         """
-        if not isinstance(prop, FontProperties):
-            prop = FontProperties(prop)
+        # Pass the relevant rcParams (and the font manager, as `self`) to
+        # _findfont_cached so to prevent using a stale cache entry after an
+        # rcParam was changed.
+        rc_params = tuple(tuple(mpl.rcParams[key]) for key in [
+            "font.serif", "font.sans-serif", "font.cursive", "font.fantasy",
+            "font.monospace"])
+        ret = self._findfont_cached(
+            prop, fontext, directory, fallback_to_default, rebuild_if_missing,
+            rc_params)
+        if isinstance(ret, cbook._ExceptionInfo):
+            raise ret.to_exception()
+        return ret
+
+    def get_font_names(self):
+        """Return the list of available fonts."""
+        return list({font.name for font in self.ttflist})
+
+    def _find_fonts_by_props(self, prop, fontext='ttf', directory=None,
+                             fallback_to_default=True, rebuild_if_missing=True):
+        """
+        Find the paths to the font files most closely matching the given properties.
+
+        Parameters
+        ----------
+        prop : str or `~matplotlib.font_manager.FontProperties`
+            The font properties to search for. This can be either a
+            `.FontProperties` object or a string defining a
+            `fontconfig patterns`_.
+
+        fontext : {'ttf', 'afm'}, default: 'ttf'
+            The extension of the font file:
+
+            - 'ttf': TrueType and OpenType fonts (.ttf, .ttc, .otf)
+            - 'afm': Adobe Font Metrics (.afm)
+
+        directory : str, optional
+            If given, only search this directory and its subdirectories.
+
+        fallback_to_default : bool
+            If True, will fall back to the default font family (usually
+            "DejaVu Sans" or "Helvetica") if none of the families were found.
+
+        rebuild_if_missing : bool
+            Whether to rebuild the font cache and search again if the first
+            match appears to point to a nonexisting font (i.e., the font cache
+            contains outdated entries).
+
+        Returns
+        -------
+        list[str]
+            The paths of the fonts found.
+
+        Notes
+        -----
+        This is an extension/wrapper of the original findfont API, which only
+        returns a single font for given font properties. Instead, this API
+        returns a list of filepaths of multiple fonts which closely match the
+        given font properties.  Since this internally uses the original API,
+        there's no change to the logic of performing the nearest neighbor
+        search.  See `findfont` for more details.
+        """
+
+        prop = FontProperties._from_any(prop)
+
+        fpaths = []
+        for family in prop.get_family():
+            cprop = prop.copy()
+            cprop.set_family(family)  # set current prop's family
+
+            try:
+                fpaths.append(
+                    self.findfont(
+                        cprop, fontext, directory,
+                        fallback_to_default=False,  # don't fallback to default
+                        rebuild_if_missing=rebuild_if_missing,
+                    )
+                )
+            except ValueError:
+                if family in font_family_aliases:
+                    _log.warning(
+                        "findfont: Generic family %r not found because "
+                        "none of the following families were found: %s",
+                        family, ", ".join(self._expand_aliases(family))
+                    )
+                else:
+                    _log.warning("findfont: Font family %r not found.", family)
+
+        # only add default family if no other font was found and
+        # fallback_to_default is enabled
+        if not fpaths:
+            if fallback_to_default:
+                dfamily = self.defaultFamily[fontext]
+                cprop = prop.copy()
+                cprop.set_family(dfamily)
+                fpaths.append(
+                    self.findfont(
+                        cprop, fontext, directory,
+                        fallback_to_default=True,
+                        rebuild_if_missing=rebuild_if_missing,
+                    )
+                )
+            else:
+                raise ValueError("Failed to find any font, and fallback "
+                                 "to the default font was disabled")
+
+        return fpaths
+
+    @lru_cache(1024)
+    def _findfont_cached(self, prop, fontext, directory, fallback_to_default,
+                         rebuild_if_missing, rc_params):
+
+        prop = FontProperties._from_any(prop)
+
         fname = prop.get_file()
         if fname is not None:
-            verbose.report('findfont returning %s'%fname, 'debug')
             return fname
 
         if fontext == 'afm':
@@ -1245,27 +1459,22 @@ def findfont(self, prop, fontext='ttf', directory=None,
         else:
             fontlist = self.ttflist
 
-        if directory is None:
-            cached = _lookup_cache[fontext].get(prop)
-            if cached is not None:
-                return cached
-
         best_score = 1e64
         best_font = None
 
+        _log.debug('findfont: Matching %s.', prop)
         for font in fontlist:
             if (directory is not None and
-                os.path.commonprefix([font.fname, directory]) != directory):
+                    Path(directory) not in Path(font.fname).parents):
                 continue
-            # Matching family should have highest priority, so it is multiplied
-            # by 10.0
-            score = \
-                self.score_family(prop.get_family(), font.name) * 10.0 + \
-                self.score_style(prop.get_style(), font.style) + \
-                self.score_variant(prop.get_variant(), font.variant) + \
-                self.score_weight(prop.get_weight(), font.weight) + \
-                self.score_stretch(prop.get_stretch(), font.stretch) + \
-                self.score_size(prop.get_size(), font.size)
+            # Matching family should have top priority, so multiply it by 10.
+            score = (self.score_family(prop.get_family(), font.name) * 10
+                     + self.score_style(prop.get_style(), font.style)
+                     + self.score_variant(prop.get_variant(), font.variant)
+                     + self.score_weight(prop.get_weight(), font.weight)
+                     + self.score_stretch(prop.get_stretch(), font.stretch)
+                     + self.score_size(prop.get_size(), font.size))
+            _log.debug('findfont: score(%s) = %s', font, score)
             if score < best_score:
                 best_score = score
                 best_font = font
@@ -1274,146 +1483,177 @@ def findfont(self, prop, fontext='ttf', directory=None,
 
         if best_font is None or best_score >= 10.0:
             if fallback_to_default:
-                warnings.warn(
-                    'findfont: Font family %s not found. Falling back to %s' %
-                    (prop.get_family(), self.defaultFamily[fontext]))
+                _log.warning(
+                    'findfont: Font family %s not found. Falling back to %s.',
+                    prop.get_family(), self.defaultFamily[fontext])
+                for family in map(str.lower, prop.get_family()):
+                    if family in font_family_aliases:
+                        _log.warning(
+                            "findfont: Generic family %r not found because "
+                            "none of the following families were found: %s",
+                            family, ", ".join(self._expand_aliases(family)))
                 default_prop = prop.copy()
                 default_prop.set_family(self.defaultFamily[fontext])
-                return self.findfont(default_prop, fontext, directory, False)
+                return self.findfont(default_prop, fontext, directory,
+                                     fallback_to_default=False)
             else:
-                # This is a hard fail -- we can't find anything reasonable,
-                # so just return the vera.ttf
-                warnings.warn(
-                    'findfont: Could not match %s. Returning %s' %
-                    (prop, self.defaultFont[fontext]),
-                    UserWarning)
-                result = self.defaultFont[fontext]
+                # This return instead of raise is intentional, as we wish to
+                # cache that it was not found, which will not occur if it was
+                # actually raised.
+                return cbook._ExceptionInfo(
+                    ValueError,
+                    f"Failed to find font {prop}, and fallback to the default font was "
+                    f"disabled"
+                )
         else:
-            verbose.report(
-                'findfont: Matching %s to %s (%s) with score of %f' %
-                (prop, best_font.name, repr(best_font.fname), best_score))
+            _log.debug('findfont: Matching %s to %s (%r) with score of %f.',
+                       prop, best_font.name, best_font.fname, best_score)
             result = best_font.fname
 
         if not os.path.isfile(result):
             if rebuild_if_missing:
-                verbose.report(
+                _log.info(
                     'findfont: Found a missing font file.  Rebuilding cache.')
-                _rebuild()
-                return fontManager.findfont(
-                    prop, fontext, directory, True, False)
+                new_fm = _load_fontmanager(try_read_cache=False)
+                # Replace self by the new fontmanager, because users may have
+                # a reference to this specific instance.
+                # TODO: _load_fontmanager should really be (used by) a method
+                # modifying the instance in place.
+                vars(self).update(vars(new_fm))
+                return self.findfont(
+                    prop, fontext, directory, rebuild_if_missing=False)
             else:
-                raise ValueError("No valid font could be found")
+                # This return instead of raise is intentional, as we wish to
+                # cache that it was not found, which will not occur if it was
+                # actually raised.
+                return cbook._ExceptionInfo(ValueError, "No valid font could be found")
 
-        if directory is None:
-            _lookup_cache[fontext].set(prop, result)
-        return result
+        return _cached_realpath(result)
 
 
-_is_opentype_cff_font_cache = {}
+@lru_cache
 def is_opentype_cff_font(filename):
     """
-    Returns True if the given font is a Postscript Compact Font Format
-    Font embedded in an OpenType wrapper.  Used by the PostScript and
-    PDF backends that can not subset these fonts.
+    Return whether the given font is a Postscript Compact Font Format Font
+    embedded in an OpenType wrapper.  Used by the PostScript and PDF backends
+    that cannot subset these fonts.
     """
     if os.path.splitext(filename)[1].lower() == '.otf':
-        result = _is_opentype_cff_font_cache.get(filename)
-        if result is None:
-            with open(filename, 'rb') as fd:
-                tag = fd.read(4)
-            result = (tag == 'OTTO')
-            _is_opentype_cff_font_cache[filename] = result
-        return result
-    return False
-
-fontManager = None
-_fmcache = None
-
-# The experimental fontconfig-based backend.
-if USE_FONTCONFIG and sys.platform != 'win32':
-    import re
-
-    def fc_match(pattern, fontext):
-        fontexts = get_fontext_synonyms(fontext)
-        ext = "." + fontext
-        try:
-            pipe = subprocess.Popen(
-                ['fc-match', '-s', '--format=%{file}\\n', pattern],
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE)
-            output = pipe.communicate()[0]
-        except (OSError, IOError):
-            return None
-
-        # The bulk of the output from fc-list is ascii, so we keep the
-        # result in bytes and parse it as bytes, until we extract the
-        # filename, which is in sys.filesystemencoding().
-        if pipe.returncode == 0:
-            for fname in output.split(b'\n'):
-                try:
-                    fname = six.text_type(fname, sys.getfilesystemencoding())
-                except UnicodeDecodeError:
-                    continue
-                if os.path.splitext(fname)[1][1:] in fontexts:
-                    return fname
-        return None
-
-    _fc_match_cache = {}
-
-    def findfont(prop, fontext='ttf'):
-        if not is_string_like(prop):
-            prop = prop.get_fontconfig_pattern()
-        cached = _fc_match_cache.get(prop)
-        if cached is not None:
-            return cached
-
-        result = fc_match(prop, fontext)
-        if result is None:
-            result = fc_match(':', fontext)
-
-        _fc_match_cache[prop] = result
-        return result
-
-else:
-    _fmcache = None
-
-    if not 'TRAVIS' in os.environ:
-        cachedir = get_cachedir()
-        if cachedir is not None:
-            if six.PY3:
-                _fmcache = os.path.join(cachedir, 'fontList.py3k.cache')
-            else:
-                _fmcache = os.path.join(cachedir, 'fontList.cache')
+        with open(filename, 'rb') as fd:
+            return fd.read(4) == b"OTTO"
+    else:
+        return False
 
-    fontManager = None
 
-    _lookup_cache = {
-        'ttf': TempCache(),
-        'afm': TempCache()
-    }
+@lru_cache(64)
+def _get_font(font_filepaths, hinting_factor, *, _kerning_factor, thread_id,
+              enable_last_resort):
+    first_fontpath, *rest = font_filepaths
+    fallback_list = [
+        ft2font.FT2Font(fpath, hinting_factor, _kerning_factor=_kerning_factor)
+        for fpath in rest
+    ]
+    last_resort_path = _cached_realpath(
+        cbook._get_data_path('fonts', 'ttf', 'LastResortHE-Regular.ttf'))
+    try:
+        last_resort_index = font_filepaths.index(last_resort_path)
+    except ValueError:
+        last_resort_index = -1
+        # Add Last Resort font so we always have glyphs regardless of font, unless we're
+        # already in the list.
+        if enable_last_resort:
+            fallback_list.append(
+                ft2font.FT2Font(last_resort_path, hinting_factor,
+                                _kerning_factor=_kerning_factor,
+                                _warn_if_used=True))
+            last_resort_index = len(fallback_list)
+    font = ft2font.FT2Font(
+        first_fontpath, hinting_factor,
+        _fallback_list=fallback_list,
+        _kerning_factor=_kerning_factor
+    )
+    # Ensure we are using the right charmap for the Last Resort font; FreeType picks the
+    # Unicode one by default, but this exists only for Windows, and is empty.
+    if last_resort_index == 0:
+        font.set_charmap(0)
+    elif last_resort_index > 0:
+        fallback_list[last_resort_index - 1].set_charmap(0)
+    return font
+
+
+# FT2Font objects cannot be used across fork()s because they reference the same
+# FT_Library object.  While invalidating *all* existing FT2Fonts after a fork
+# would be too complicated to be worth it, the main way FT2Fonts get reused is
+# via the cache of _get_font, which we can empty upon forking (not on Windows,
+# which has no fork() or register_at_fork()).
+if hasattr(os, "register_at_fork"):
+    os.register_at_fork(after_in_child=_get_font.cache_clear)
+
+
+@lru_cache(64)
+def _cached_realpath(path):
+    # Resolving the path avoids embedding the font twice in pdf/ps output if a
+    # single font is selected using two different relative paths.
+    return os.path.realpath(path)
+
+
+def get_font(font_filepaths, hinting_factor=None):
+    """
+    Get an `.ft2font.FT2Font` object given a list of file paths.
 
-    def _rebuild():
-        global fontManager
-        fontManager = FontManager()
-        if _fmcache:
-            pickle_dump(fontManager, _fmcache)
-        verbose.report("generated new fontManager")
+    Parameters
+    ----------
+    font_filepaths : Iterable[str, Path, bytes], str, Path, bytes
+        Relative or absolute paths to the font files to be used.
 
-    if _fmcache:
-        try:
-            fontManager = pickle_load(_fmcache)
-            if (not hasattr(fontManager, '_version') or
-                fontManager._version != FontManager.__version__):
-                _rebuild()
-            else:
-                fontManager.default_size = None
-                verbose.report("Using fontManager instance from %s" % _fmcache)
-        except:
-            _rebuild()
+        If a single string, bytes, or `pathlib.Path`, then it will be treated
+        as a list with that entry only.
+
+        If more than one filepath is passed, then the returned FT2Font object
+        will fall back through the fonts, in the order given, to find a needed
+        glyph.
+
+    Returns
+    -------
+    `.ft2font.FT2Font`
+
+    """
+    if isinstance(font_filepaths, (str, Path, bytes)):
+        paths = (_cached_realpath(font_filepaths),)
     else:
-        _rebuild()
+        paths = tuple(_cached_realpath(fname) for fname in font_filepaths)
+
+    hinting_factor = mpl._val_or_rc(hinting_factor, 'text.hinting_factor')
+
+    return _get_font(
+        # must be a tuple to be cached
+        paths,
+        hinting_factor,
+        _kerning_factor=mpl.rcParams['text.kerning_factor'],
+        # also key on the thread ID to prevent segfaults with multi-threading
+        thread_id=threading.get_ident(),
+        enable_last_resort=mpl.rcParams['font.enable_last_resort'],
+    )
 
-    def findfont(prop, **kw):
-        global fontManager
-        font = fontManager.findfont(prop, **kw)
-        return font
+
+def _load_fontmanager(*, try_read_cache=True):
+    fm_path = Path(
+        mpl.get_cachedir(), f"fontlist-v{FontManager.__version__}.json")
+    if try_read_cache:
+        try:
+            fm = json_load(fm_path)
+        except Exception:
+            pass
+        else:
+            if getattr(fm, "_version", object()) == FontManager.__version__:
+                _log.debug("Using fontManager instance from %s", fm_path)
+                return fm
+    fm = FontManager()
+    json_dump(fm, fm_path)
+    _log.info("generated new fontManager")
+    return fm
+
+
+fontManager = _load_fontmanager()
+findfont = fontManager.findfont
+get_font_names = fontManager.get_font_names
diff --git a/lib/matplotlib/font_manager.pyi b/lib/matplotlib/font_manager.pyi
new file mode 100644
index 000000000000..c64ddea3e073
--- /dev/null
+++ b/lib/matplotlib/font_manager.pyi
@@ -0,0 +1,136 @@
+from dataclasses import dataclass
+import os
+
+from matplotlib._afm import AFM
+from matplotlib import ft2font
+
+from pathlib import Path
+
+from collections.abc import Iterable
+from typing import Any, Literal
+
+font_scalings: dict[str | None, float]
+stretch_dict: dict[str, int]
+weight_dict: dict[str, int]
+font_family_aliases: set[str]
+MSFolders: str
+MSFontDirectories: list[str]
+MSUserFontDirectories: list[str]
+X11FontDirectories: list[str]
+OSXFontDirectories: list[str]
+
+def get_fontext_synonyms(fontext: str) -> list[str]: ...
+def list_fonts(directory: str, extensions: Iterable[str]) -> list[str]: ...
+def win32FontDirectory() -> str: ...
+def _get_fontconfig_fonts() -> list[Path]: ...
+def findSystemFonts(
+    fontpaths: Iterable[str | os.PathLike | Path] | None = ..., fontext: str = ...
+) -> list[str]: ...
+@dataclass
+class FontEntry:
+    fname: str = ...
+    name: str = ...
+    style: str = ...
+    variant: str = ...
+    weight: str | int = ...
+    stretch: str = ...
+    size: str = ...
+    def _repr_html_(self) -> str: ...
+    def _repr_png_(self) -> bytes: ...
+
+def ttfFontProperty(font: ft2font.FT2Font) -> FontEntry: ...
+def afmFontProperty(fontpath: str, font: AFM) -> FontEntry: ...
+
+class FontProperties:
+    def __init__(
+        self,
+        family: str | Iterable[str] | None = ...,
+        style: Literal["normal", "italic", "oblique"] | None = ...,
+        variant: Literal["normal", "small-caps"] | None = ...,
+        weight: int | str | None = ...,
+        stretch: int | str | None = ...,
+        size: float | str | None = ...,
+        fname: str | os.PathLike | Path | None = ...,
+        math_fontfamily: str | None = ...,
+    ) -> None: ...
+    def __hash__(self) -> int: ...
+    def __eq__(self, other: object) -> bool: ...
+    def get_family(self) -> list[str]: ...
+    def get_name(self) -> str: ...
+    def get_style(self) -> Literal["normal", "italic", "oblique"]: ...
+    def get_variant(self) -> Literal["normal", "small-caps"]: ...
+    def get_weight(self) -> int | str: ...
+    def get_stretch(self) -> int | str: ...
+    def get_size(self) -> float: ...
+    def get_file(self) -> str | bytes | None: ...
+    def get_fontconfig_pattern(self) -> dict[str, list[Any]]: ...
+    def set_family(self, family: str | Iterable[str] | None) -> None: ...
+    def set_style(
+        self, style: Literal["normal", "italic", "oblique"] | None
+    ) -> None: ...
+    def set_variant(self, variant: Literal["normal", "small-caps"] | None) -> None: ...
+    def set_weight(self, weight: int | str | None) -> None: ...
+    def set_stretch(self, stretch: int | str | None) -> None: ...
+    def set_size(self, size: float | str | None) -> None: ...
+    def set_file(self, file: str | os.PathLike | Path | None) -> None: ...
+    def set_fontconfig_pattern(self, pattern: str) -> None: ...
+    def get_math_fontfamily(self) -> str: ...
+    def set_math_fontfamily(self, fontfamily: str | None) -> None: ...
+    def copy(self) -> FontProperties: ...
+    # Aliases
+    set_name = set_family
+    get_slant = get_style
+    set_slant = set_style
+    get_size_in_points = get_size
+
+def json_dump(data: FontManager, filename: str | Path | os.PathLike) -> None: ...
+def json_load(filename: str | Path | os.PathLike) -> FontManager: ...
+
+class FontManager:
+    __version__: str
+    default_size: float | None
+    defaultFamily: dict[str, str]
+    afmlist: list[FontEntry]
+    ttflist: list[FontEntry]
+    def __init__(self, size: float | None = ..., weight: str = ...) -> None: ...
+    def addfont(self, path: str | Path | os.PathLike) -> None: ...
+    @property
+    def defaultFont(self) -> dict[str, str]: ...
+    def get_default_weight(self) -> str: ...
+    @staticmethod
+    def get_default_size() -> float: ...
+    def set_default_weight(self, weight: str) -> None: ...
+    def score_family(
+        self, families: str | list[str] | tuple[str], family2: str
+    ) -> float: ...
+    def score_style(self, style1: str, style2: str) -> float: ...
+    def score_variant(self, variant1: str, variant2: str) -> float: ...
+    def score_stretch(self, stretch1: str | int, stretch2: str | int) -> float: ...
+    def score_weight(self, weight1: str | float, weight2: str | float) -> float: ...
+    def score_size(self, size1: str | float, size2: str | float) -> float: ...
+    def findfont(
+        self,
+        prop: str | FontProperties,
+        fontext: Literal["ttf", "afm"] = ...,
+        directory: str | None = ...,
+        fallback_to_default: bool = ...,
+        rebuild_if_missing: bool = ...,
+    ) -> str: ...
+    def get_font_names(self) -> list[str]: ...
+
+def is_opentype_cff_font(filename: str) -> bool: ...
+def get_font(
+    font_filepaths: Iterable[str | Path | bytes] | str | Path | bytes,
+    hinting_factor: int | None = ...,
+) -> ft2font.FT2Font: ...
+
+fontManager: FontManager
+
+def findfont(
+    prop: str | FontProperties,
+    fontext: Literal["ttf", "afm"] = ...,
+    directory: str | None = ...,
+    fallback_to_default: bool = ...,
+    rebuild_if_missing: bool = ...,
+) -> str: ...
+def get_font_names() -> list[str]: ...
diff --git a/lib/matplotlib/fontconfig_pattern.py b/lib/matplotlib/fontconfig_pattern.py
deleted file mode 100644
index cb029b90db7c..000000000000
--- a/lib/matplotlib/fontconfig_pattern.py
+++ /dev/null
@@ -1,190 +0,0 @@
-"""
-A module for parsing and generating fontconfig patterns.
-
-See the `fontconfig pattern specification
-<http://www.fontconfig.org/fontconfig-user.html>`_ for more
-information.
-"""
-
-# Author : Michael Droettboom <mdroe@stsci.edu>
-# License : matplotlib license (PSF compatible)
-
-# This class is defined here because it must be available in:
-#   - The old-style config framework (:file:`rcsetup.py`)
-#   - The traits-based config framework (:file:`mpltraits.py`)
-#   - The font manager (:file:`font_manager.py`)
-
-# It probably logically belongs in :file:`font_manager.py`, but
-# placing it in any of these places would have created cyclical
-# dependency problems, or an undesired dependency on traits even
-# when the traits-based config framework is not used.
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import re, sys
-from pyparsing import Literal, ZeroOrMore, \
-     Optional, Regex, StringEnd, ParseException, Suppress
-
-family_punc = r'\\\-:,'
-family_unescape = re.compile(r'\\([%s])' % family_punc).sub
-family_escape = re.compile(r'([%s])' % family_punc).sub
-
-value_punc = r'\\=_:,'
-value_unescape = re.compile(r'\\([%s])' % value_punc).sub
-value_escape = re.compile(r'([%s])' % value_punc).sub
-
-class FontconfigPatternParser(object):
-    """A simple pyparsing-based parser for fontconfig-style patterns.
-
-    See the `fontconfig pattern specification
-    <http://www.fontconfig.org/fontconfig-user.html>`_ for more
-    information.
-    """
-
-    _constants = {
-        'thin'           : ('weight', 'light'),
-        'extralight'     : ('weight', 'light'),
-        'ultralight'     : ('weight', 'light'),
-        'light'          : ('weight', 'light'),
-        'book'           : ('weight', 'book'),
-        'regular'        : ('weight', 'regular'),
-        'normal'         : ('weight', 'normal'),
-        'medium'         : ('weight', 'medium'),
-        'demibold'       : ('weight', 'demibold'),
-        'semibold'       : ('weight', 'semibold'),
-        'bold'           : ('weight', 'bold'),
-        'extrabold'      : ('weight', 'extra bold'),
-        'black'          : ('weight', 'black'),
-        'heavy'          : ('weight', 'heavy'),
-        'roman'          : ('slant', 'normal'),
-        'italic'         : ('slant', 'italic'),
-        'oblique'        : ('slant', 'oblique'),
-        'ultracondensed' : ('width', 'ultra-condensed'),
-        'extracondensed' : ('width', 'extra-condensed'),
-        'condensed'      : ('width', 'condensed'),
-        'semicondensed'  : ('width', 'semi-condensed'),
-        'expanded'       : ('width', 'expanded'),
-        'extraexpanded'  : ('width', 'extra-expanded'),
-        'ultraexpanded'  : ('width', 'ultra-expanded')
-        }
-
-    def __init__(self):
-        family      = Regex(r'([^%s]|(\\[%s]))*' %
-                            (family_punc, family_punc)) \
-                      .setParseAction(self._family)
-        size        = Regex(r"([0-9]+\.?[0-9]*|\.[0-9]+)") \
-                      .setParseAction(self._size)
-        name        = Regex(r'[a-z]+') \
-                      .setParseAction(self._name)
-        value       = Regex(r'([^%s]|(\\[%s]))*' %
-                            (value_punc, value_punc)) \
-                      .setParseAction(self._value)
-
-        families    =(family
-                    + ZeroOrMore(
-                        Literal(',')
-                      + family)
-                    ).setParseAction(self._families)
-
-        point_sizes =(size
-                    + ZeroOrMore(
-                        Literal(',')
-                      + size)
-                    ).setParseAction(self._point_sizes)
-
-        property    =( (name
-                      + Suppress(Literal('='))
-                      + value
-                      + ZeroOrMore(
-                          Suppress(Literal(','))
-                        + value)
-                      )
-                     |  name
-                    ).setParseAction(self._property)
-
-        pattern     =(Optional(
-                        families)
-                    + Optional(
-                        Literal('-')
-                      + point_sizes)
-                    + ZeroOrMore(
-                        Literal(':')
-                      + property)
-                    + StringEnd()
-                    )
-
-        self._parser = pattern
-        self.ParseException = ParseException
-
-    def parse(self, pattern):
-        """
-        Parse the given fontconfig *pattern* and return a dictionary
-        of key/value pairs useful for initializing a
-        :class:`font_manager.FontProperties` object.
-        """
-        props = self._properties = {}
-        try:
-            self._parser.parseString(pattern)
-        except self.ParseException as e:
-            raise ValueError(
-                "Could not parse font string: '%s'\n%s" % (pattern, e))
-
-        self._properties = None
-
-        self._parser.resetCache()
-
-        return props
-
-    def _family(self, s, loc, tokens):
-        return [family_unescape(r'\1', str(tokens[0]))]
-
-    def _size(self, s, loc, tokens):
-        return [float(tokens[0])]
-
-    def _name(self, s, loc, tokens):
-        return [str(tokens[0])]
-
-    def _value(self, s, loc, tokens):
-        return [value_unescape(r'\1', str(tokens[0]))]
-
-    def _families(self, s, loc, tokens):
-        self._properties['family'] = [str(x) for x in tokens]
-        return []
-
-    def _point_sizes(self, s, loc, tokens):
-        self._properties['size'] = [str(x) for x in tokens]
-        return []
-
-    def _property(self, s, loc, tokens):
-        if len(tokens) == 1:
-            if tokens[0] in self._constants:
-                key, val = self._constants[tokens[0]]
-                self._properties.setdefault(key, []).append(val)
-        else:
-            key = tokens[0]
-            val = tokens[1:]
-            self._properties.setdefault(key, []).extend(val)
-        return []
-
-parse_fontconfig_pattern = FontconfigPatternParser().parse
-
-def generate_fontconfig_pattern(d):
-    """
-    Given a dictionary of key/value pairs, generates a fontconfig
-    pattern string.
-    """
-    props = []
-    families = ''
-    size = ''
-    for key in 'family style variant weight stretch file size'.split():
-        val = getattr(d, 'get_' + key)()
-        if val is not None and val != []:
-            if type(val) == list:
-                val = [value_escape(r'\\\1', str(x)) for x in val if x is not None]
-                if val != []:
-                    val = ','.join(val)
-            props.append(":%s=%s" % (key, val))
-    return ''.join(props)
diff --git a/lib/matplotlib/ft2font.pyi b/lib/matplotlib/ft2font.pyi
new file mode 100644
index 000000000000..a413cd3c1a76
--- /dev/null
+++ b/lib/matplotlib/ft2font.pyi
@@ -0,0 +1,312 @@
+from enum import Enum, Flag
+import sys
+from typing import BinaryIO, Literal, TypedDict, final, overload, cast
+from typing_extensions import Buffer  # < Py 3.12
+
+import numpy as np
+from numpy.typing import NDArray
+
+__freetype_build_type__: str
+__freetype_version__: str
+
+class FaceFlags(Flag):
+    SCALABLE = cast(int, ...)
+    FIXED_SIZES = cast(int, ...)
+    FIXED_WIDTH = cast(int, ...)
+    SFNT = cast(int, ...)
+    HORIZONTAL = cast(int, ...)
+    VERTICAL = cast(int, ...)
+    KERNING = cast(int, ...)
+    FAST_GLYPHS = cast(int, ...)
+    MULTIPLE_MASTERS = cast(int, ...)
+    GLYPH_NAMES = cast(int, ...)
+    EXTERNAL_STREAM = cast(int, ...)
+    HINTER = cast(int, ...)
+    CID_KEYED = cast(int, ...)
+    TRICKY = cast(int, ...)
+    COLOR = cast(int, ...)
+    VARIATION = cast(int, ...)
+    SVG = cast(int, ...)
+    SBIX = cast(int, ...)
+    SBIX_OVERLAY = cast(int, ...)
+
+class Kerning(Enum):
+    DEFAULT = cast(int, ...)
+    UNFITTED = cast(int, ...)
+    UNSCALED = cast(int, ...)
+
+class LoadFlags(Flag):
+    DEFAULT = cast(int, ...)
+    NO_SCALE = cast(int, ...)
+    NO_HINTING = cast(int, ...)
+    RENDER = cast(int, ...)
+    NO_BITMAP = cast(int, ...)
+    VERTICAL_LAYOUT = cast(int, ...)
+    FORCE_AUTOHINT = cast(int, ...)
+    CROP_BITMAP = cast(int, ...)
+    PEDANTIC = cast(int, ...)
+    IGNORE_GLOBAL_ADVANCE_WIDTH = cast(int, ...)
+    NO_RECURSE = cast(int, ...)
+    IGNORE_TRANSFORM = cast(int, ...)
+    MONOCHROME = cast(int, ...)
+    LINEAR_DESIGN = cast(int, ...)
+    NO_AUTOHINT = cast(int, ...)
+    COLOR = cast(int, ...)
+    COMPUTE_METRICS = cast(int, ...)
+    BITMAP_METRICS_ONLY = cast(int, ...)
+    NO_SVG = cast(int, ...)
+    # The following should be unique, but the above can be OR'd together.
+    TARGET_NORMAL = cast(int, ...)
+    TARGET_LIGHT = cast(int, ...)
+    TARGET_MONO = cast(int, ...)
+    TARGET_LCD = cast(int, ...)
+    TARGET_LCD_V = cast(int, ...)
+
+class StyleFlags(Flag):
+    NORMAL = cast(int, ...)
+    ITALIC = cast(int, ...)
+    BOLD = cast(int, ...)
+
+class _SfntHeadDict(TypedDict):
+    version: tuple[int, int]
+    fontRevision: tuple[int, int]
+    checkSumAdjustment: int
+    magicNumber: int
+    flags: int
+    unitsPerEm: int
+    created: tuple[int, int]
+    modified: tuple[int, int]
+    xMin: int
+    yMin: int
+    xMax: int
+    yMax: int
+    macStyle: int
+    lowestRecPPEM: int
+    fontDirectionHint: int
+    indexToLocFormat: int
+    glyphDataFormat: int
+
+class _SfntMaxpDict(TypedDict):
+    version: tuple[int, int]
+    numGlyphs: int
+    maxPoints: int
+    maxContours: int
+    maxComponentPoints: int
+    maxComponentContours: int
+    maxZones: int
+    maxTwilightPoints: int
+    maxStorage: int
+    maxFunctionDefs: int
+    maxInstructionDefs: int
+    maxStackElements: int
+    maxSizeOfInstructions: int
+    maxComponentElements: int
+    maxComponentDepth: int
+
+class _SfntOs2Dict(TypedDict):
+    version: int
+    xAvgCharWidth: int
+    usWeightClass: int
+    usWidthClass: int
+    fsType: int
+    ySubscriptXSize: int
+    ySubscriptYSize: int
+    ySubscriptXOffset: int
+    ySubscriptYOffset: int
+    ySuperscriptXSize: int
+    ySuperscriptYSize: int
+    ySuperscriptXOffset: int
+    ySuperscriptYOffset: int
+    yStrikeoutSize: int
+    yStrikeoutPosition: int
+    sFamilyClass: int
+    panose: bytes
+    ulCharRange: tuple[int, int, int, int]
+    achVendID: bytes
+    fsSelection: int
+    fsFirstCharIndex: int
+    fsLastCharIndex: int
+
+class _SfntHheaDict(TypedDict):
+    version: tuple[int, int]
+    ascent: int
+    descent: int
+    lineGap: int
+    advanceWidthMax: int
+    minLeftBearing: int
+    minRightBearing: int
+    xMaxExtent: int
+    caretSlopeRise: int
+    caretSlopeRun: int
+    caretOffset: int
+    metricDataFormat: int
+    numOfLongHorMetrics: int
+
+class _SfntVheaDict(TypedDict):
+    version: tuple[int, int]
+    vertTypoAscender: int
+    vertTypoDescender: int
+    vertTypoLineGap: int
+    advanceHeightMax: int
+    minTopSideBearing: int
+    minBottomSizeBearing: int
+    yMaxExtent: int
+    caretSlopeRise: int
+    caretSlopeRun: int
+    caretOffset: int
+    metricDataFormat: int
+    numOfLongVerMetrics: int
+
+class _SfntPostDict(TypedDict):
+    format: tuple[int, int]
+    italicAngle: tuple[int, int]
+    underlinePosition: int
+    underlineThickness: int
+    isFixedPitch: int
+    minMemType42: int
+    maxMemType42: int
+    minMemType1: int
+    maxMemType1: int
+
+class _SfntPcltDict(TypedDict):
+    version: tuple[int, int]
+    fontNumber: int
+    pitch: int
+    xHeight: int
+    style: int
+    typeFamily: int
+    capHeight: int
+    symbolSet: int
+    typeFace: bytes
+    characterComplement: bytes
+    strokeWeight: int
+    widthType: int
+    serifStyle: int
+
+@final
+class FT2Font(Buffer):
+    def __init__(
+        self,
+        filename: str | BinaryIO,
+        hinting_factor: int = ...,
+        *,
+        _fallback_list: list[FT2Font] | None = ...,
+        _kerning_factor: int = ...
+    ) -> None: ...
+    if sys.version_info[:2] >= (3, 12):
+        def __buffer__(self, flags: int) -> memoryview: ...
+    def _get_fontmap(self, string: str) -> dict[str, FT2Font]: ...
+    def clear(self) -> None: ...
+    def draw_glyph_to_bitmap(
+        self, image: NDArray[np.uint8], x: int, y: int, glyph: Glyph, antialiased: bool = ...
+    ) -> None: ...
+    def draw_glyphs_to_bitmap(self, antialiased: bool = ...) -> None: ...
+    def get_bitmap_offset(self) -> tuple[int, int]: ...
+    def get_char_index(self, codepoint: int) -> int: ...
+    def get_charmap(self) -> dict[int, int]: ...
+    def get_descent(self) -> int: ...
+    def get_glyph_name(self, index: int) -> str: ...
+    def get_image(self) -> NDArray[np.uint8]: ...
+    def get_kerning(self, left: int, right: int, mode: Kerning) -> int: ...
+    def get_name_index(self, name: str) -> int: ...
+    def get_num_glyphs(self) -> int: ...
+    def get_path(self) -> tuple[NDArray[np.float64], NDArray[np.int8]]: ...
+    def get_ps_font_info(
+        self,
+    ) -> tuple[str, str, str, str, str, int, int, int, int]: ...
+    def get_sfnt(self) -> dict[tuple[int, int, int, int], bytes]: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["head"]) -> _SfntHeadDict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["maxp"]) -> _SfntMaxpDict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["OS/2"]) -> _SfntOs2Dict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["hhea"]) -> _SfntHheaDict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["vhea"]) -> _SfntVheaDict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["post"]) -> _SfntPostDict | None: ...
+    @overload
+    def get_sfnt_table(self, name: Literal["pclt"]) -> _SfntPcltDict | None: ...
+    def get_width_height(self) -> tuple[int, int]: ...
+    def load_char(self, charcode: int, flags: LoadFlags = ...) -> Glyph: ...
+    def load_glyph(self, glyphindex: int, flags: LoadFlags = ...) -> Glyph: ...
+    def select_charmap(self, i: int) -> None: ...
+    def set_charmap(self, i: int) -> None: ...
+    def set_size(self, ptsize: float, dpi: float) -> None: ...
+    def set_text(
+        self, string: str, angle: float = ..., flags: LoadFlags = ...
+    ) -> NDArray[np.float64]: ...
+    @property
+    def ascender(self) -> int: ...
+    @property
+    def bbox(self) -> tuple[int, int, int, int]: ...
+    @property
+    def descender(self) -> int: ...
+    @property
+    def face_flags(self) -> FaceFlags: ...
+    @property
+    def family_name(self) -> str: ...
+    @property
+    def fname(self) -> str: ...
+    @property
+    def height(self) -> int: ...
+    @property
+    def max_advance_height(self) -> int: ...
+    @property
+    def max_advance_width(self) -> int: ...
+    @property
+    def num_charmaps(self) -> int: ...
+    @property
+    def num_faces(self) -> int: ...
+    @property
+    def num_fixed_sizes(self) -> int: ...
+    @property
+    def num_glyphs(self) -> int: ...
+    @property
+    def num_named_instances(self) -> int: ...
+    @property
+    def postscript_name(self) -> str: ...
+    @property
+    def scalable(self) -> bool: ...
+    @property
+    def style_flags(self) -> StyleFlags: ...
+    @property
+    def style_name(self) -> str: ...
+    @property
+    def underline_position(self) -> int: ...
+    @property
+    def underline_thickness(self) -> int: ...
+    @property
+    def units_per_EM(self) -> int: ...
+
+@final
+class FT2Image(Buffer):
+    def __init__(self, width: int, height: int) -> None: ...
+    def draw_rect_filled(self, x0: int, y0: int, x1: int, y1: int) -> None: ...
+    if sys.version_info[:2] >= (3, 12):
+        def __buffer__(self, flags: int) -> memoryview: ...
+
+@final
+class Glyph:
+    @property
+    def width(self) -> int: ...
+    @property
+    def height(self) -> int: ...
+    @property
+    def horiBearingX(self) -> int: ...
+    @property
+    def horiBearingY(self) -> int: ...
+    @property
+    def horiAdvance(self) -> int: ...
+    @property
+    def linearHoriAdvance(self) -> int: ...
+    @property
+    def vertBearingX(self) -> int: ...
+    @property
+    def vertBearingY(self) -> int: ...
+    @property
+    def vertAdvance(self) -> int: ...
+    @property
+    def bbox(self) -> tuple[int, int, int, int]: ...
diff --git a/lib/matplotlib/gridspec.py b/lib/matplotlib/gridspec.py
index 242a1a3564d1..5cd05bc167bb 100644
--- a/lib/matplotlib/gridspec.py
+++ b/lib/matplotlib/gridspec.py
@@ -1,88 +1,164 @@
-"""
-:mod:`~matplotlib.gridspec` is a module which specifies the location
-of the subplot in the figure.
-
-    ``GridSpec``
-        specifies the geometry of the grid that a subplot will be
-        placed. The number of rows and number of columns of the grid
-        need to be set. Optionally, the subplot layout parameters
-        (e.g., left, right, etc.) can be tuned.
-
-    ``SubplotSpec``
-        specifies the location of the subplot in the given *GridSpec*.
+r"""
+:mod:`~matplotlib.gridspec` contains classes that help to layout multiple
+`~.axes.Axes` in a grid-like pattern within a figure.
 
+The `GridSpec` specifies the overall grid structure. Individual cells within
+the grid are referenced by `SubplotSpec`\s.
 
+Often, users need not access this module directly, and can use higher-level
+methods like `~.pyplot.subplots`, `~.pyplot.subplot_mosaic` and
+`~.Figure.subfigures`. See the tutorial :ref:`arranging_axes` for a guide.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import copy
+import logging
+from numbers import Integral
 
-import six
-from six.moves import zip
+import numpy as np
 
-import matplotlib
-rcParams = matplotlib.rcParams
+import matplotlib as mpl
+from matplotlib import _api, _pylab_helpers, _tight_layout
+from matplotlib._api import UNSET as _UNSET
+from matplotlib.transforms import Bbox
 
-import matplotlib.transforms as mtransforms
+_log = logging.getLogger(__name__)
 
-import numpy as np
-import warnings
 
-class GridSpecBase(object):
+class GridSpecBase:
     """
     A base class of GridSpec that specifies the geometry of the grid
     that a subplot will be placed.
     """
 
-    def __init__(self, nrows, ncols,
-                 height_ratios=None, width_ratios=None):
+    def __init__(self, nrows, ncols, height_ratios=None, width_ratios=None):
         """
-        The number of rows and number of columns of the grid need to
-        be set. Optionally, the ratio of heights and widths of rows and
-        columns can be specified.
+        Parameters
+        ----------
+        nrows, ncols : int
+            The number of rows and columns of the grid.
+        width_ratios : array-like of length *ncols*, optional
+            Defines the relative widths of the columns. Each column gets a
+            relative width of ``width_ratios[i] / sum(width_ratios)``.
+            If not given, all columns will have the same width.
+        height_ratios : array-like of length *nrows*, optional
+            Defines the relative heights of the rows. Each row gets a
+            relative height of ``height_ratios[i] / sum(height_ratios)``.
+            If not given, all rows will have the same height.
         """
-        #self.figure = figure
-        self._nrows , self._ncols = nrows, ncols
-
+        if not isinstance(nrows, Integral) or nrows <= 0:
+            raise ValueError(
+                f"Number of rows must be a positive integer, not {nrows!r}")
+        if not isinstance(ncols, Integral) or ncols <= 0:
+            raise ValueError(
+                f"Number of columns must be a positive integer, not {ncols!r}")
+        self._nrows, self._ncols = nrows, ncols
         self.set_height_ratios(height_ratios)
         self.set_width_ratios(width_ratios)
 
+    def __repr__(self):
+        height_arg = (f', height_ratios={self._row_height_ratios!r}'
+                      if len(set(self._row_height_ratios)) != 1 else '')
+        width_arg = (f', width_ratios={self._col_width_ratios!r}'
+                     if len(set(self._col_width_ratios)) != 1 else '')
+        return '{clsname}({nrows}, {ncols}{optionals})'.format(
+            clsname=self.__class__.__name__,
+            nrows=self._nrows,
+            ncols=self._ncols,
+            optionals=height_arg + width_arg,
+            )
+
+    nrows = property(lambda self: self._nrows,
+                     doc="The number of rows in the grid.")
+    ncols = property(lambda self: self._ncols,
+                     doc="The number of columns in the grid.")
+
     def get_geometry(self):
-        'get the geometry of the grid, e.g., 2,3'
+        """
+        Return a tuple containing the number of rows and columns in the grid.
+        """
         return self._nrows, self._ncols
 
-    def get_subplot_params(self, fig=None):
+    def get_subplot_params(self, figure=None):
+        # Must be implemented in subclasses
         pass
 
     def new_subplotspec(self, loc, rowspan=1, colspan=1):
         """
-        create and return a SuplotSpec instance.
+        Create and return a `.SubplotSpec` instance.
+
+        Parameters
+        ----------
+        loc : (int, int)
+            The position of the subplot in the grid as
+            ``(row_index, column_index)``.
+        rowspan, colspan : int, default: 1
+            The number of rows and columns the subplot should span in the grid.
         """
         loc1, loc2 = loc
         subplotspec = self[loc1:loc1+rowspan, loc2:loc2+colspan]
         return subplotspec
 
-
     def set_width_ratios(self, width_ratios):
+        """
+        Set the relative widths of the columns.
+
+        *width_ratios* must be of length *ncols*. Each column gets a relative
+        width of ``width_ratios[i] / sum(width_ratios)``.
+        """
+        if width_ratios is None:
+            width_ratios = [1] * self._ncols
+        elif len(width_ratios) != self._ncols:
+            raise ValueError('Expected the given number of width ratios to '
+                             'match the number of columns of the grid')
         self._col_width_ratios = width_ratios
 
     def get_width_ratios(self):
+        """
+        Return the width ratios.
+
+        This is *None* if no width ratios have been set explicitly.
+        """
         return self._col_width_ratios
 
     def set_height_ratios(self, height_ratios):
+        """
+        Set the relative heights of the rows.
+
+        *height_ratios* must be of length *nrows*. Each row gets a relative
+        height of ``height_ratios[i] / sum(height_ratios)``.
+        """
+        if height_ratios is None:
+            height_ratios = [1] * self._nrows
+        elif len(height_ratios) != self._nrows:
+            raise ValueError('Expected the given number of height ratios to '
+                             'match the number of rows of the grid')
         self._row_height_ratios = height_ratios
 
     def get_height_ratios(self):
-        return self._row_height_ratios
+        """
+        Return the height ratios.
 
+        This is *None* if no height ratios have been set explicitly.
+        """
+        return self._row_height_ratios
 
     def get_grid_positions(self, fig):
         """
-        return lists of bottom and top position of rows, left and
-        right positions of columns.
+        Return the positions of the grid cells in figure coordinates.
+
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+            The figure the grid should be applied to. The subplot parameters
+            (margins and spacing between subplots) are taken from *fig*.
+
+        Returns
+        -------
+        bottoms, tops, lefts, rights : array
+            The bottom, top, left, right positions of the grid cells in
+            figure coordinates.
         """
         nrows, ncols = self.get_geometry()
-
         subplot_params = self.get_subplot_params(fig)
         left = subplot_params.left
         right = subplot_params.right
@@ -90,229 +166,306 @@ def get_grid_positions(self, fig):
         top = subplot_params.top
         wspace = subplot_params.wspace
         hspace = subplot_params.hspace
-        totWidth = right-left
-        totHeight = top-bottom
+        tot_width = right - left
+        tot_height = top - bottom
 
         # calculate accumulated heights of columns
-        cellH = totHeight/(nrows + hspace*(nrows-1))
-        sepH = hspace*cellH
-
-        if self._row_height_ratios is not None:
-            netHeight = cellH * nrows
-            tr = float(sum(self._row_height_ratios))
-            cellHeights = [netHeight*r/tr for r in self._row_height_ratios]
-        else:
-            cellHeights = [cellH] * nrows
-
-        sepHeights = [0] + ([sepH] * (nrows-1))
-        cellHs = np.add.accumulate(np.ravel(list(zip(sepHeights, cellHeights))))
-
+        cell_h = tot_height / (nrows + hspace*(nrows-1))
+        sep_h = hspace * cell_h
+        norm = cell_h * nrows / sum(self._row_height_ratios)
+        cell_heights = [r * norm for r in self._row_height_ratios]
+        sep_heights = [0] + ([sep_h] * (nrows-1))
+        cell_hs = np.cumsum(np.column_stack([sep_heights, cell_heights]).flat)
 
         # calculate accumulated widths of rows
-        cellW = totWidth/(ncols + wspace*(ncols-1))
-        sepW = wspace*cellW
-
-        if self._col_width_ratios is not None:
-            netWidth = cellW * ncols
-            tr = float(sum(self._col_width_ratios))
-            cellWidths = [netWidth*r/tr for r in self._col_width_ratios]
-        else:
-            cellWidths = [cellW] * ncols
-
-        sepWidths = [0] + ([sepW] * (ncols-1))
-        cellWs = np.add.accumulate(np.ravel(list(zip(sepWidths, cellWidths))))
-
-
-
-        figTops = [top - cellHs[2*rowNum] for rowNum in range(nrows)]
-        figBottoms = [top - cellHs[2*rowNum+1] for rowNum in range(nrows)]
-        figLefts = [left + cellWs[2*colNum] for colNum in range(ncols)]
-        figRights = [left + cellWs[2*colNum+1] for colNum in range(ncols)]
-
-
-        return figBottoms, figTops, figLefts, figRights
-
-    def __getitem__(self, key):
+        cell_w = tot_width / (ncols + wspace*(ncols-1))
+        sep_w = wspace * cell_w
+        norm = cell_w * ncols / sum(self._col_width_ratios)
+        cell_widths = [r * norm for r in self._col_width_ratios]
+        sep_widths = [0] + ([sep_w] * (ncols-1))
+        cell_ws = np.cumsum(np.column_stack([sep_widths, cell_widths]).flat)
+
+        fig_tops, fig_bottoms = (top - cell_hs).reshape((-1, 2)).T
+        fig_lefts, fig_rights = (left + cell_ws).reshape((-1, 2)).T
+        return fig_bottoms, fig_tops, fig_lefts, fig_rights
+
+    @staticmethod
+    def _check_gridspec_exists(figure, nrows, ncols):
         """
-        create and return a SuplotSpec instance.
+        Check if the figure already has a gridspec with these dimensions,
+        or create a new one
         """
+        for ax in figure.get_axes():
+            gs = ax.get_gridspec()
+            if gs is not None:
+                if hasattr(gs, 'get_topmost_subplotspec'):
+                    # This is needed for colorbar gridspec layouts.
+                    # This is probably OK because this whole logic tree
+                    # is for when the user is doing simple things with the
+                    # add_subplot command.  For complicated layouts
+                    # like subgridspecs the proper gridspec is passed in...
+                    gs = gs.get_topmost_subplotspec().get_gridspec()
+                if gs.get_geometry() == (nrows, ncols):
+                    return gs
+        # else gridspec not found:
+        return GridSpec(nrows, ncols, figure=figure)
+
+    def __getitem__(self, key):
+        """Create and return a `.SubplotSpec` instance."""
         nrows, ncols = self.get_geometry()
-        total = nrows*ncols
+
+        def _normalize(key, size, axis):  # Includes last index.
+            orig_key = key
+            if isinstance(key, slice):
+                start, stop, _ = key.indices(size)
+                if stop > start:
+                    return start, stop - 1
+                raise IndexError("GridSpec slice would result in no space "
+                                 "allocated for subplot")
+            else:
+                if key < 0:
+                    key = key + size
+                if 0 <= key < size:
+                    return key, key
+                elif axis is not None:
+                    raise IndexError(f"index {orig_key} is out of bounds for "
+                                     f"axis {axis} with size {size}")
+                else:  # flat index
+                    raise IndexError(f"index {orig_key} is out of bounds for "
+                                     f"GridSpec with size {size}")
 
         if isinstance(key, tuple):
             try:
                 k1, k2 = key
-            except ValueError:
-                raise ValueError("unrecognized subplot spec")
+            except ValueError as err:
+                raise ValueError("Unrecognized subplot spec") from err
+            num1, num2 = np.ravel_multi_index(
+                [_normalize(k1, nrows, 0), _normalize(k2, ncols, 1)],
+                (nrows, ncols))
+        else:  # Single key
+            num1, num2 = _normalize(key, nrows * ncols, None)
 
-            if isinstance(k1, slice):
-                row1, row2, _ = k1.indices(nrows)
-            else:
-                if k1 < 0:
-                    k1 += nrows
-                if k1 >= nrows or k1 < 0 :
-                    raise IndexError("index out of range")
-                row1, row2 = k1, k1+1
-
-
-            if isinstance(k2, slice):
-                col1, col2, _ = k2.indices(ncols)
-            else:
-                if k2 < 0:
-                    k2 += ncols
-                if k2 >= ncols or k2 < 0 :
-                    raise IndexError("index out of range")
-                col1, col2 = k2, k2+1
+        return SubplotSpec(self, num1, num2)
 
+    def subplots(self, *, sharex=False, sharey=False, squeeze=True,
+                 subplot_kw=None):
+        """
+        Add all subplots specified by this `GridSpec` to its parent figure.
 
-            num1 = row1*ncols + col1
-            num2 = (row2-1)*ncols + (col2-1)
+        See `.Figure.subplots` for detailed documentation.
+        """
 
-        # single key
+        figure = self.figure
+
+        if figure is None:
+            raise ValueError("GridSpec.subplots() only works for GridSpecs "
+                             "created with a parent figure")
+
+        if not isinstance(sharex, str):
+            sharex = "all" if sharex else "none"
+        if not isinstance(sharey, str):
+            sharey = "all" if sharey else "none"
+
+        _api.check_in_list(["all", "row", "col", "none", False, True],
+                           sharex=sharex, sharey=sharey)
+        if subplot_kw is None:
+            subplot_kw = {}
+        # don't mutate kwargs passed by user...
+        subplot_kw = subplot_kw.copy()
+
+        # Create array to hold all Axes.
+        axarr = np.empty((self._nrows, self._ncols), dtype=object)
+        for row in range(self._nrows):
+            for col in range(self._ncols):
+                shared_with = {"none": None, "all": axarr[0, 0],
+                               "row": axarr[row, 0], "col": axarr[0, col]}
+                subplot_kw["sharex"] = shared_with[sharex]
+                subplot_kw["sharey"] = shared_with[sharey]
+                axarr[row, col] = figure.add_subplot(
+                    self[row, col], **subplot_kw)
+
+        # turn off redundant tick labeling
+        if sharex in ["col", "all"]:
+            for ax in axarr.flat:
+                ax._label_outer_xaxis(skip_non_rectangular_axes=True)
+        if sharey in ["row", "all"]:
+            for ax in axarr.flat:
+                ax._label_outer_yaxis(skip_non_rectangular_axes=True)
+
+        if squeeze:
+            # Discarding unneeded dimensions that equal 1.  If we only have one
+            # subplot, just return it instead of a 1-element array.
+            return axarr.item() if axarr.size == 1 else axarr.squeeze()
         else:
-            if isinstance(key, slice):
-                num1, num2, _ = key.indices(total)
-                num2 -= 1
-            else:
-                if key < 0:
-                    key += total
-                if key >= total or key < 0 :
-                    raise IndexError("index out of range")
-                num1, num2 = key, None
-
-
-        return SubplotSpec(self, num1, num2)
+            # Returned axis array will be always 2-d, even if nrows=ncols=1.
+            return axarr
 
 
 class GridSpec(GridSpecBase):
     """
-    A class that specifies the geometry of the grid that a subplot
-    will be placed. The location of grid is determined by similar way
-    as the SubplotParams.
-    """
+    A grid layout to place subplots within a figure.
 
-    def __init__(self, nrows, ncols,
+    The location of the grid cells is determined in a similar way to
+    `.SubplotParams` using *left*, *right*, *top*, *bottom*, *wspace*
+    and *hspace*.
+
+    Indexing a GridSpec instance returns a `.SubplotSpec`.
+    """
+    def __init__(self, nrows, ncols, figure=None,
                  left=None, bottom=None, right=None, top=None,
                  wspace=None, hspace=None,
                  width_ratios=None, height_ratios=None):
         """
-        The number of rows and number of columns of the
-        grid need to be set. Optionally, the subplot layout parameters
-        (e.g., left, right, etc.) can be tuned.
-        """
-        #self.figure = figure
-        self.left=left
-        self.bottom=bottom
-        self.right=right
-        self.top=top
-        self.wspace=wspace
-        self.hspace=hspace
-
-        GridSpecBase.__init__(self, nrows, ncols,
-                              width_ratios=width_ratios,
-                              height_ratios=height_ratios)
-        #self.set_width_ratios(width_ratios)
-        #self.set_height_ratios(height_ratios)
+        Parameters
+        ----------
+        nrows, ncols : int
+            The number of rows and columns of the grid.
+
+        figure : `.Figure`, optional
+            Only used for constrained layout to create a proper layoutgrid.
+
+        left, right, top, bottom : float, optional
+            Extent of the subplots as a fraction of figure width or height.
+            Left cannot be larger than right, and bottom cannot be larger than
+            top. If not given, the values will be inferred from a figure or
+            rcParams at draw time. See also `GridSpec.get_subplot_params`.
+
+        wspace : float, optional
+            The amount of width reserved for space between subplots,
+            expressed as a fraction of the average axis width.
+            If not given, the values will be inferred from a figure or
+            rcParams when necessary. See also `GridSpec.get_subplot_params`.
+
+        hspace : float, optional
+            The amount of height reserved for space between subplots,
+            expressed as a fraction of the average axis height.
+            If not given, the values will be inferred from a figure or
+            rcParams when necessary. See also `GridSpec.get_subplot_params`.
+
+        width_ratios : array-like of length *ncols*, optional
+            Defines the relative widths of the columns. Each column gets a
+            relative width of ``width_ratios[i] / sum(width_ratios)``.
+            If not given, all columns will have the same width.
+
+        height_ratios : array-like of length *nrows*, optional
+            Defines the relative heights of the rows. Each row gets a
+            relative height of ``height_ratios[i] / sum(height_ratios)``.
+            If not given, all rows will have the same height.
 
+        """
+        self.left = left
+        self.bottom = bottom
+        self.right = right
+        self.top = top
+        self.wspace = wspace
+        self.hspace = hspace
+        self.figure = figure
+
+        super().__init__(nrows, ncols,
+                         width_ratios=width_ratios,
+                         height_ratios=height_ratios)
 
     _AllowedKeys = ["left", "bottom", "right", "top", "wspace", "hspace"]
 
-    def update(self, **kwargs):
+    def update(self, *, left=_UNSET, bottom=_UNSET, right=_UNSET, top=_UNSET,
+               wspace=_UNSET, hspace=_UNSET):
         """
-        Update the current values.  If any kwarg is None, default to
-        the current value, if set, otherwise to rc.
+        Update the subplot parameters of the grid.
+
+        Parameters that are not explicitly given are not changed. Setting a
+        parameter to *None* resets it to :rc:`figure.subplot.*`.
+
+        Parameters
+        ----------
+        left, right, top, bottom : float or None, optional
+            Extent of the subplots as a fraction of figure width or height.
+        wspace, hspace : float or None, optional
+            Spacing between the subplots as a fraction of the average subplot
+            width / height.
         """
-
-        for k, v in six.iteritems(kwargs):
-            if k in self._AllowedKeys:
-                setattr(self, k, v)
-            else:
-                raise AttributeError("%s is unknown keyword" % (k,))
-
-
-        from matplotlib import _pylab_helpers
-        from matplotlib.axes import SubplotBase
-        for figmanager in six.itervalues(_pylab_helpers.Gcf.figs):
+        if left is not _UNSET:
+            self.left = left
+        if bottom is not _UNSET:
+            self.bottom = bottom
+        if right is not _UNSET:
+            self.right = right
+        if top is not _UNSET:
+            self.top = top
+        if wspace is not _UNSET:
+            self.wspace = wspace
+        if hspace is not _UNSET:
+            self.hspace = hspace
+
+        for figmanager in _pylab_helpers.Gcf.figs.values():
             for ax in figmanager.canvas.figure.axes:
-                # copied from Figure.subplots_adjust
-                if not isinstance(ax, SubplotBase):
-                    # Check if sharing a subplots axis
-                    if ax._sharex is not None and isinstance(ax._sharex, SubplotBase):
-                        if ax._sharex.get_subplotspec().get_gridspec() == self:
-                            ax._sharex.update_params()
-                            ax.set_position(ax._sharex.figbox)
-                    elif ax._sharey is not None and isinstance(ax._sharey,SubplotBase):
-                        if ax._sharey.get_subplotspec().get_gridspec() == self:
-                            ax._sharey.update_params()
-                            ax.set_position(ax._sharey.figbox)
-                else:
+                if ax.get_subplotspec() is not None:
                     ss = ax.get_subplotspec().get_topmost_subplotspec()
                     if ss.get_gridspec() == self:
-                        ax.update_params()
-                        ax.set_position(ax.figbox)
+                        fig = ax.get_figure(root=False)
+                        ax._set_position(ax.get_subplotspec().get_position(fig))
+
+    def get_subplot_params(self, figure=None):
+        """
+        Return the `.SubplotParams` for the GridSpec.
 
+        In order of precedence the values are taken from
 
+        - non-*None* attributes of the GridSpec
+        - the provided *figure*
+        - :rc:`figure.subplot.*`
 
-    def get_subplot_params(self, fig=None):
-        """
-        return a dictionary of subplot layout parameters. The default
-        parameters are from rcParams unless a figure attribute is set.
+        Note that the ``figure`` attribute of the GridSpec is always ignored.
         """
-        from matplotlib.figure import SubplotParams
-        import copy
-        if fig is None:
-            kw = dict([(k, rcParams["figure.subplot."+k]) \
-                       for k in self._AllowedKeys])
+        if figure is None:
+            kw = {k: mpl.rcParams["figure.subplot."+k]
+                  for k in self._AllowedKeys}
             subplotpars = SubplotParams(**kw)
         else:
-            subplotpars = copy.copy(fig.subplotpars)
+            subplotpars = copy.copy(figure.subplotpars)
 
-        update_kw = dict([(k, getattr(self, k)) for k in self._AllowedKeys])
-        subplotpars.update(**update_kw)
+        subplotpars.update(**{k: getattr(self, k) for k in self._AllowedKeys})
 
         return subplotpars
 
     def locally_modified_subplot_params(self):
-        return [k for k in self._AllowedKeys if getattr(self, k)]
+        """
+        Return a list of the names of the subplot parameters explicitly set
+        in the GridSpec.
 
+        This is a subset of the attributes of `.SubplotParams`.
+        """
+        return [k for k in self._AllowedKeys if getattr(self, k)]
 
-    def tight_layout(self, fig, renderer=None, pad=1.08, h_pad=None, w_pad=None, rect=None):
+    def tight_layout(self, figure, renderer=None,
+                     pad=1.08, h_pad=None, w_pad=None, rect=None):
         """
         Adjust subplot parameters to give specified padding.
 
-        Parameters:
-
+        Parameters
+        ----------
+        figure : `.Figure`
+            The figure.
+        renderer :  `.RendererBase` subclass, optional
+            The renderer to be used.
         pad : float
-            padding between the figure edge and the edges of subplots, as a fraction of the font-size.
-        h_pad, w_pad : float
-            padding (height/width) between edges of adjacent subplots.
-            Defaults to `pad_inches`.
-        rect : if rect is given, it is interpreted as a rectangle
-            (left, bottom, right, top) in the normalized figure
-            coordinate that the whole subplots area (including
-            labels) will fit into. Default is (0, 0, 1, 1).
-        """
-
-        from .tight_layout import (get_subplotspec_list,
-                                   get_tight_layout_figure,
-                                   get_renderer)
-
-        subplotspec_list = get_subplotspec_list(fig.axes, grid_spec=self)
-        if None in subplotspec_list:
-            warnings.warn("This figure includes Axes that are not "
-                          "compatible with tight_layout, so its "
-                          "results might be incorrect.")
-
+            Padding between the figure edge and the edges of subplots, as a
+            fraction of the font-size.
+        h_pad, w_pad : float, optional
+            Padding (height/width) between edges of adjacent subplots.
+            Defaults to *pad*.
+        rect : tuple (left, bottom, right, top), default: None
+            (left, bottom, right, top) rectangle in normalized figure
+            coordinates that the whole subplots area (including labels) will
+            fit into. Default (None) is the whole figure.
+        """
         if renderer is None:
-            renderer = get_renderer(fig)
-
-        kwargs = get_tight_layout_figure(fig, fig.axes, subplotspec_list,
-                                         renderer,
-                                         pad=pad, h_pad=h_pad, w_pad=w_pad,
-                                         rect=rect,
-                                         )
-
-        self.update(**kwargs)
+            renderer = figure._get_renderer()
+        kwargs = _tight_layout.get_tight_layout_figure(
+            figure, figure.axes,
+            _tight_layout.get_subplotspec_list(figure.axes, grid_spec=self),
+            renderer, pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
+        if kwargs:
+            self.update(**kwargs)
 
 
 class GridSpecFromSubplotSpec(GridSpecBase):
@@ -325,137 +478,203 @@ def __init__(self, nrows, ncols,
                  wspace=None, hspace=None,
                  height_ratios=None, width_ratios=None):
         """
-        The number of rows and number of columns of the grid need to
-        be set. An instance of SubplotSpec is also needed to be set
-        from which the layout parameters will be inherited. The wspace
-        and hspace of the layout can be optionally specified or the
-        default values (from the figure or rcParams) will be used.
+        Parameters
+        ----------
+        nrows, ncols : int
+            Number of rows and number of columns of the grid.
+        subplot_spec : SubplotSpec
+            Spec from which the layout parameters are inherited.
+        wspace, hspace : float, optional
+            See `GridSpec` for more details. If not specified default values
+            (from the figure or rcParams) are used.
+        height_ratios : array-like of length *nrows*, optional
+            See `GridSpecBase` for details.
+        width_ratios : array-like of length *ncols*, optional
+            See `GridSpecBase` for details.
         """
-        self._wspace=wspace
-        self._hspace=hspace
-
-        self._subplot_spec = subplot_spec
-
-        GridSpecBase.__init__(self, nrows, ncols,
-                              width_ratios=width_ratios,
-                              height_ratios=height_ratios)
+        self._wspace = wspace
+        self._hspace = hspace
+        if isinstance(subplot_spec, SubplotSpec):
+            self._subplot_spec = subplot_spec
+        else:
+            raise TypeError(
+                            "subplot_spec must be type SubplotSpec, "
+                            "usually from GridSpec, or axes.get_subplotspec.")
+        self.figure = self._subplot_spec.get_gridspec().figure
+        super().__init__(nrows, ncols,
+                         width_ratios=width_ratios,
+                         height_ratios=height_ratios)
+
+    def get_subplot_params(self, figure=None):
+        """Return a dictionary of subplot layout parameters."""
+        hspace = (self._hspace if self._hspace is not None
+                  else figure.subplotpars.hspace if figure is not None
+                  else mpl.rcParams["figure.subplot.hspace"])
+        wspace = (self._wspace if self._wspace is not None
+                  else figure.subplotpars.wspace if figure is not None
+                  else mpl.rcParams["figure.subplot.wspace"])
+
+        figbox = self._subplot_spec.get_position(figure)
+        left, bottom, right, top = figbox.extents
 
+        return SubplotParams(left=left, right=right,
+                             bottom=bottom, top=top,
+                             wspace=wspace, hspace=hspace)
 
-    def get_subplot_params(self, fig=None):
+    def get_topmost_subplotspec(self):
         """
-        return a dictionary of subplot layout parameters.
+        Return the topmost `.SubplotSpec` instance associated with the subplot.
         """
+        return self._subplot_spec.get_topmost_subplotspec()
 
-        if fig is None:
-            hspace = rcParams["figure.subplot.hspace"]
-            wspace = rcParams["figure.subplot.wspace"]
-        else:
-            hspace = fig.subplotpars.hspace
-            wspace = fig.subplotpars.wspace
-
-        if self._hspace is not None:
-            hspace = self._hspace
-
-        if self._wspace is not None:
-            wspace = self._wspace
-
-        figbox = self._subplot_spec.get_position(fig, return_all=False)
-
-        left, bottom, right, top = figbox.extents
 
-        from matplotlib.figure import SubplotParams
-        sp = SubplotParams(left=left,
-                           right=right,
-                           bottom=bottom,
-                           top=top,
-                           wspace=wspace,
-                           hspace=hspace)
+class SubplotSpec:
+    """
+    The location of a subplot in a `GridSpec`.
 
-        return sp
+    .. note::
 
+        Likely, you will never instantiate a `SubplotSpec` yourself. Instead,
+        you will typically obtain one from a `GridSpec` using item-access.
 
-    def get_topmost_subplotspec(self):
-        'get the topmost SubplotSpec instance associated with the subplot'
-        return self._subplot_spec.get_topmost_subplotspec()
+    Parameters
+    ----------
+    gridspec : `~matplotlib.gridspec.GridSpec`
+        The GridSpec, which the subplot is referencing.
+    num1, num2 : int
+        The subplot will occupy the *num1*-th cell of the given
+        *gridspec*.  If *num2* is provided, the subplot will span between
+        *num1*-th cell and *num2*-th cell **inclusive**.
 
-
-class SubplotSpec(object):
-    """
-    specifies the location of the subplot in the given *GridSpec*.
+        The index starts from 0.
     """
-
     def __init__(self, gridspec, num1, num2=None):
+        self._gridspec = gridspec
+        self.num1 = num1
+        self.num2 = num2
+
+    def __repr__(self):
+        return (f"{self.get_gridspec()}["
+                f"{self.rowspan.start}:{self.rowspan.stop}, "
+                f"{self.colspan.start}:{self.colspan.stop}]")
+
+    @staticmethod
+    def _from_subplot_args(figure, args):
         """
-        The subplot will occupy the num1-th cell of the given
-        gridspec.  If num2 is provided, the subplot will span between
-        num1-th cell and num2-th cell.
+        Construct a `.SubplotSpec` from a parent `.Figure` and either
 
-        The index stars from 0.
+        - a `.SubplotSpec` -- returned as is;
+        - one or three numbers -- a MATLAB-style subplot specifier.
         """
+        if len(args) == 1:
+            arg, = args
+            if isinstance(arg, SubplotSpec):
+                return arg
+            elif not isinstance(arg, Integral):
+                raise ValueError(
+                    f"Single argument to subplot must be a three-digit "
+                    f"integer, not {arg!r}")
+            try:
+                rows, cols, num = map(int, str(arg))
+            except ValueError:
+                raise ValueError(
+                    f"Single argument to subplot must be a three-digit "
+                    f"integer, not {arg!r}") from None
+        elif len(args) == 3:
+            rows, cols, num = args
+        else:
+            raise _api.nargs_error("subplot", takes="1 or 3", given=len(args))
+
+        gs = GridSpec._check_gridspec_exists(figure, rows, cols)
+        if gs is None:
+            gs = GridSpec(rows, cols, figure=figure)
+        if isinstance(num, tuple) and len(num) == 2:
+            if not all(isinstance(n, Integral) for n in num):
+                raise ValueError(
+                    f"Subplot specifier tuple must contain integers, not {num}"
+                )
+            i, j = num
+        else:
+            if not isinstance(num, Integral) or num < 1 or num > rows*cols:
+                raise ValueError(
+                    f"num must be an integer with 1 <= num <= {rows*cols}, "
+                    f"not {num!r}"
+                )
+            i = j = num
+        return gs[i-1:j]
 
-        rows, cols = gridspec.get_geometry()
-        total = rows*cols
+    # num2 is a property only to handle the case where it is None and someone
+    # mutates num1.
 
-        self._gridspec = gridspec
-        self.num1 = num1
-        self.num2 = num2
+    @property
+    def num2(self):
+        return self.num1 if self._num2 is None else self._num2
+
+    @num2.setter
+    def num2(self, value):
+        self._num2 = value
 
     def get_gridspec(self):
         return self._gridspec
 
-
     def get_geometry(self):
         """
-        get the subplot geometry, e.g., 2,2,3. Unlike SuplorParams,
-        index is 0-based
+        Return the subplot geometry as tuple ``(n_rows, n_cols, start, stop)``.
+
+        The indices *start* and *stop* define the range of the subplot within
+        the `GridSpec`. *stop* is inclusive (i.e. for a single cell
+        ``start == stop``).
         """
         rows, cols = self.get_gridspec().get_geometry()
         return rows, cols, self.num1, self.num2
 
+    @property
+    def rowspan(self):
+        """The rows spanned by this subplot, as a `range` object."""
+        ncols = self.get_gridspec().ncols
+        return range(self.num1 // ncols, self.num2 // ncols + 1)
 
-    def get_position(self, fig, return_all=False):
-        """
-        update the subplot position from fig.subplotpars
-        """
-
-        gridspec = self.get_gridspec()
-        nrows, ncols = gridspec.get_geometry()
-
-        figBottoms, figTops, figLefts, figRights = \
-                    gridspec.get_grid_positions(fig)
-
-
-        rowNum, colNum =  divmod(self.num1, ncols)
-        figBottom = figBottoms[rowNum]
-        figTop = figTops[rowNum]
-        figLeft = figLefts[colNum]
-        figRight = figRights[colNum]
-
-        if self.num2 is not None:
+    @property
+    def colspan(self):
+        """The columns spanned by this subplot, as a `range` object."""
+        ncols = self.get_gridspec().ncols
+        # We explicitly support num2 referring to a column on num1's *left*, so
+        # we must sort the column indices here so that the range makes sense.
+        c1, c2 = sorted([self.num1 % ncols, self.num2 % ncols])
+        return range(c1, c2 + 1)
 
-            rowNum2, colNum2 =  divmod(self.num2, ncols)
-            figBottom2 = figBottoms[rowNum2]
-            figTop2 = figTops[rowNum2]
-            figLeft2 = figLefts[colNum2]
-            figRight2 = figRights[colNum2]
+    def is_first_row(self):
+        return self.rowspan.start == 0
 
-            figBottom = min(figBottom, figBottom2)
-            figLeft = min(figLeft, figLeft2)
-            figTop = max(figTop, figTop2)
-            figRight = max(figRight, figRight2)
+    def is_last_row(self):
+        return self.rowspan.stop == self.get_gridspec().nrows
 
-        figbox = mtransforms.Bbox.from_extents(figLeft, figBottom,
-                                               figRight, figTop)
+    def is_first_col(self):
+        return self.colspan.start == 0
 
+    def is_last_col(self):
+        return self.colspan.stop == self.get_gridspec().ncols
 
-        if return_all:
-            return figbox, rowNum, colNum, nrows, ncols
-        else:
-            return figbox
+    def get_position(self, figure):
+        """
+        Update the subplot position from ``figure.subplotpars``.
+        """
+        gridspec = self.get_gridspec()
+        nrows, ncols = gridspec.get_geometry()
+        rows, cols = np.unravel_index([self.num1, self.num2], (nrows, ncols))
+        fig_bottoms, fig_tops, fig_lefts, fig_rights = \
+            gridspec.get_grid_positions(figure)
 
+        fig_bottom = fig_bottoms[rows].min()
+        fig_top = fig_tops[rows].max()
+        fig_left = fig_lefts[cols].min()
+        fig_right = fig_rights[cols].max()
+        return Bbox.from_extents(fig_left, fig_bottom, fig_right, fig_top)
 
     def get_topmost_subplotspec(self):
-        'get the topmost SubplotSpec instance associated with the subplot'
+        """
+        Return the topmost `SubplotSpec` instance associated with the subplot.
+        """
         gridspec = self.get_gridspec()
         if hasattr(gridspec, "get_topmost_subplotspec"):
             return gridspec.get_topmost_subplotspec()
@@ -463,17 +682,126 @@ def get_topmost_subplotspec(self):
             return self
 
     def __eq__(self, other):
-        # check to make sure other has the attributes
-        # we need to do the comparison
-        if not (hasattr(other, '_gridspec') and
-                hasattr(other, 'num1') and
-                hasattr(other, 'num2')):
-            return False
-        return all((self._gridspec == other._gridspec,
-                    self.num1 == other.num1,
-                    self.num2 == other.num2))
+        """
+        Two SubplotSpecs are considered equal if they refer to the same
+        position(s) in the same `GridSpec`.
+        """
+        # other may not even have the attributes we are checking.
+        return ((self._gridspec, self.num1, self.num2)
+                == (getattr(other, "_gridspec", object()),
+                    getattr(other, "num1", object()),
+                    getattr(other, "num2", object())))
 
     def __hash__(self):
-        return (hash(self._gridspec) ^
-                hash(self.num1) ^
-                hash(self.num2))
+        return hash((self._gridspec, self.num1, self.num2))
+
+    def subgridspec(self, nrows, ncols, **kwargs):
+        """
+        Create a GridSpec within this subplot.
+
+        The created `.GridSpecFromSubplotSpec` will have this `SubplotSpec` as
+        a parent.
+
+        Parameters
+        ----------
+        nrows : int
+            Number of rows in grid.
+
+        ncols : int
+            Number of columns in grid.
+
+        Returns
+        -------
+        `.GridSpecFromSubplotSpec`
+
+        Other Parameters
+        ----------------
+        **kwargs
+            All other parameters are passed to `.GridSpecFromSubplotSpec`.
+
+        See Also
+        --------
+        matplotlib.pyplot.subplots
+
+        Examples
+        --------
+        Adding three subplots in the space occupied by a single subplot::
+
+            fig = plt.figure()
+            gs0 = fig.add_gridspec(3, 1)
+            ax1 = fig.add_subplot(gs0[0])
+            ax2 = fig.add_subplot(gs0[1])
+            gssub = gs0[2].subgridspec(1, 3)
+            for i in range(3):
+                fig.add_subplot(gssub[0, i])
+        """
+        return GridSpecFromSubplotSpec(nrows, ncols, self, **kwargs)
+
+
+class SubplotParams:
+    """
+    Parameters defining the positioning of a subplots grid in a figure.
+    """
+
+    def __init__(self, left=None, bottom=None, right=None, top=None,
+                 wspace=None, hspace=None):
+        """
+        Defaults are given by :rc:`figure.subplot.[name]`.
+
+        Parameters
+        ----------
+        left : float, optional
+            The position of the left edge of the subplots,
+            as a fraction of the figure width.
+        right : float, optional
+            The position of the right edge of the subplots,
+            as a fraction of the figure width.
+        bottom : float, optional
+            The position of the bottom edge of the subplots,
+            as a fraction of the figure height.
+        top : float, optional
+            The position of the top edge of the subplots,
+            as a fraction of the figure height.
+        wspace : float, optional
+            The width of the padding between subplots,
+            as a fraction of the average Axes width.
+        hspace : float, optional
+            The height of the padding between subplots,
+            as a fraction of the average Axes height.
+        """
+        for key in ["left", "bottom", "right", "top", "wspace", "hspace"]:
+            setattr(self, key, mpl.rcParams[f"figure.subplot.{key}"])
+        self.update(left, bottom, right, top, wspace, hspace)
+
+    def update(self, left=None, bottom=None, right=None, top=None,
+               wspace=None, hspace=None):
+        """
+        Update the dimensions of the passed parameters. *None* means unchanged.
+        """
+        if ((left if left is not None else self.left)
+                >= (right if right is not None else self.right)):
+            raise ValueError('left cannot be >= right')
+        if ((bottom if bottom is not None else self.bottom)
+                >= (top if top is not None else self.top)):
+            raise ValueError('bottom cannot be >= top')
+        if left is not None:
+            self.left = left
+        if right is not None:
+            self.right = right
+        if bottom is not None:
+            self.bottom = bottom
+        if top is not None:
+            self.top = top
+        if wspace is not None:
+            self.wspace = wspace
+        if hspace is not None:
+            self.hspace = hspace
+
+    def reset(self):
+        """Restore the subplot positioning parameters to the default rcParams values"""
+        for key in self.to_dict():
+            setattr(self, key, mpl.rcParams[f'figure.subplot.{key}'])
+
+    def to_dict(self):
+        """Return a copy of the subplot parameters as a dict."""
+        return self.__dict__.copy()
diff --git a/lib/matplotlib/gridspec.pyi b/lib/matplotlib/gridspec.pyi
new file mode 100644
index 000000000000..2a9068635c46
--- /dev/null
+++ b/lib/matplotlib/gridspec.pyi
@@ -0,0 +1,174 @@
+from typing import Any, Literal, overload
+
+from numpy.typing import ArrayLike
+import numpy as np
+
+from matplotlib._api import _Unset
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import RendererBase
+from matplotlib.figure import Figure
+from matplotlib.transforms import Bbox
+
+class GridSpecBase:
+    def __init__(
+        self,
+        nrows: int,
+        ncols: int,
+        height_ratios: ArrayLike | None = ...,
+        width_ratios: ArrayLike | None = ...,
+    ) -> None: ...
+    @property
+    def nrows(self) -> int: ...
+    @property
+    def ncols(self) -> int: ...
+    def get_geometry(self) -> tuple[int, int]: ...
+    def get_subplot_params(self, figure: Figure | None = ...) -> SubplotParams: ...
+    def new_subplotspec(
+        self, loc: tuple[int, int], rowspan: int = ..., colspan: int = ...
+    ) -> SubplotSpec: ...
+    def set_width_ratios(self, width_ratios: ArrayLike | None) -> None: ...
+    def get_width_ratios(self) -> ArrayLike: ...
+    def set_height_ratios(self, height_ratios: ArrayLike | None) -> None: ...
+    def get_height_ratios(self) -> ArrayLike: ...
+    def get_grid_positions(
+        self, fig: Figure
+    ) -> tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: ...
+    @staticmethod
+    def _check_gridspec_exists(figure: Figure, nrows: int, ncols: int) -> GridSpec: ...
+    def __getitem__(
+        self, key: tuple[int | slice, int | slice] | slice | int
+    ) -> SubplotSpec: ...
+    @overload
+    def subplots(
+        self,
+        *,
+        sharex: bool | Literal["all", "row", "col", "none"] = ...,
+        sharey: bool | Literal["all", "row", "col", "none"] = ...,
+        squeeze: Literal[False],
+        subplot_kw: dict[str, Any] | None = ...
+    ) -> np.ndarray: ...
+    @overload
+    def subplots(
+        self,
+        *,
+        sharex: bool | Literal["all", "row", "col", "none"] = ...,
+        sharey: bool | Literal["all", "row", "col", "none"] = ...,
+        squeeze: Literal[True] = ...,
+        subplot_kw: dict[str, Any] | None = ...
+    ) -> np.ndarray | Axes: ...
+
+class GridSpec(GridSpecBase):
+    left: float | None
+    bottom: float | None
+    right: float | None
+    top: float | None
+    wspace: float | None
+    hspace: float | None
+    figure: Figure | None
+    def __init__(
+        self,
+        nrows: int,
+        ncols: int,
+        figure: Figure | None = ...,
+        left: float | None = ...,
+        bottom: float | None = ...,
+        right: float | None = ...,
+        top: float | None = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+        width_ratios: ArrayLike | None = ...,
+        height_ratios: ArrayLike | None = ...,
+    ) -> None: ...
+    def update(
+        self,
+        *,
+        left: float | None | _Unset = ...,
+        bottom: float | None | _Unset = ...,
+        right: float | None | _Unset = ...,
+        top: float | None | _Unset = ...,
+        wspace: float | None | _Unset = ...,
+        hspace: float | None | _Unset = ...,
+    ) -> None: ...
+    def locally_modified_subplot_params(self) -> list[str]: ...
+    def tight_layout(
+        self,
+        figure: Figure,
+        renderer: RendererBase | None = ...,
+        pad: float = ...,
+        h_pad: float | None = ...,
+        w_pad: float | None = ...,
+        rect: tuple[float, float, float, float] | None = ...,
+    ) -> None: ...
+
+class GridSpecFromSubplotSpec(GridSpecBase):
+    figure: Figure | None
+    def __init__(
+        self,
+        nrows: int,
+        ncols: int,
+        subplot_spec: SubplotSpec,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+        height_ratios: ArrayLike | None = ...,
+        width_ratios: ArrayLike | None = ...,
+    ) -> None: ...
+    def get_topmost_subplotspec(self) -> SubplotSpec: ...
+
+class SubplotSpec:
+    num1: int
+    def __init__(
+        self, gridspec: GridSpecBase, num1: int, num2: int | None = ...
+    ) -> None: ...
+    @staticmethod
+    def _from_subplot_args(figure, args): ...
+    @property
+    def num2(self) -> int: ...
+    @num2.setter
+    def num2(self, value: int) -> None: ...
+    def get_gridspec(self) -> GridSpecBase: ...
+    def get_geometry(self) -> tuple[int, int, int, int]: ...
+    @property
+    def rowspan(self) -> range: ...
+    @property
+    def colspan(self) -> range: ...
+    def is_first_row(self) -> bool: ...
+    def is_last_row(self) -> bool: ...
+    def is_first_col(self) -> bool: ...
+    def is_last_col(self) -> bool: ...
+    def get_position(self, figure: Figure) -> Bbox: ...
+    def get_topmost_subplotspec(self) -> SubplotSpec: ...
+    def __eq__(self, other: object) -> bool: ...
+    def __hash__(self) -> int: ...
+    def subgridspec(
+        self, nrows: int, ncols: int, **kwargs
+    ) -> GridSpecFromSubplotSpec: ...
+
+class SubplotParams:
+    def __init__(
+        self,
+        left: float | None = ...,
+        bottom: float | None = ...,
+        right: float | None = ...,
+        top: float | None = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+    ) -> None: ...
+    left: float
+    right: float
+    bottom: float
+    top: float
+    wspace: float
+    hspace: float
+    def update(
+        self,
+        left: float | None = ...,
+        bottom: float | None = ...,
+        right: float | None = ...,
+        top: float | None = ...,
+        wspace: float | None = ...,
+        hspace: float | None = ...,
+    ) -> None: ...
+    def to_dict(
+        self,
+    ) -> dict[str, float]: ...
+    def reset(self) -> None: ...
diff --git a/lib/matplotlib/hatch.py b/lib/matplotlib/hatch.py
index 94294afdf8a8..5e0b6d761a98 100644
--- a/lib/matplotlib/hatch.py
+++ b/lib/matplotlib/hatch.py
@@ -1,21 +1,30 @@
 """
-Contains a classes for generating hatch patterns.
+Module for generating hatch patterns.
+
+For examples of using the hatch API, see
+:ref:`sphx_glr_gallery_shapes_and_collections_hatch_style_reference.py`.
+
+The following hatching patterns are available, shown here at level 2 density:
+
+.. plot:: _embedded_plots/hatch_classes.py
+    :include-source: false
+    :alt:
+        8 squares, each showing the pattern corresponding to the hatch symbol:
+        symbol '/' makes right leaning diagonals, '\\' makes left leaning diagonals,
+        '|' makes vertical lines, '-' makes horizontal lines, '+' makes a grid,
+        'X' makes a grid rotated 90 degrees, 'o' makes small unfilled circles,
+        'O' makes large unfilled circles, '.' makes small filled circles, and '*' makes
+        a star with 5 points
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
 import numpy as np
+
+from matplotlib import _api
 from matplotlib.path import Path
 
 
-class HatchPatternBase(object):
-    """
-    The base class for a hatch pattern.
-    """
+class HatchPatternBase:
+    """The base class for a hatch pattern."""
     pass
 
 
@@ -55,15 +64,15 @@ def set_vertices_and_codes(self, vertices, codes):
 
 class NorthEastHatch(HatchPatternBase):
     def __init__(self, hatch, density):
-        self.num_lines = int((hatch.count('/') + hatch.count('x') +
-                          hatch.count('X')) * density)
+        self.num_lines = int(
+            (hatch.count('/') + hatch.count('x') + hatch.count('X')) * density)
         if self.num_lines:
             self.num_vertices = (self.num_lines + 1) * 2
         else:
             self.num_vertices = 0
 
     def set_vertices_and_codes(self, vertices, codes):
-        steps = np.linspace(-0.5, 0.5, self.num_lines + 1, True)
+        steps = np.linspace(-0.5, 0.5, self.num_lines + 1)
         vertices[0::2, 0] = 0.0 + steps
         vertices[0::2, 1] = 0.0 - steps
         vertices[1::2, 0] = 1.0 + steps
@@ -74,16 +83,16 @@ def set_vertices_and_codes(self, vertices, codes):
 
 class SouthEastHatch(HatchPatternBase):
     def __init__(self, hatch, density):
-        self.num_lines = int((hatch.count('\\') + hatch.count('x') +
-                          hatch.count('X')) * density)
-        self.num_vertices = (self.num_lines + 1) * 2
+        self.num_lines = int(
+            (hatch.count('\\') + hatch.count('x') + hatch.count('X'))
+            * density)
         if self.num_lines:
             self.num_vertices = (self.num_lines + 1) * 2
         else:
             self.num_vertices = 0
 
     def set_vertices_and_codes(self, vertices, codes):
-        steps = np.linspace(-0.5, 0.5, self.num_lines + 1, True)
+        steps = np.linspace(-0.5, 0.5, self.num_lines + 1)
         vertices[0::2, 0] = 0.0 + steps
         vertices[0::2, 1] = 1.0 + steps
         vertices[1::2, 0] = 1.0 + steps
@@ -101,37 +110,32 @@ def __init__(self, hatch, density):
             self.num_vertices = 0
         else:
             self.num_shapes = ((self.num_rows // 2 + 1) * (self.num_rows + 1) +
-                               (self.num_rows // 2) * (self.num_rows))
+                               (self.num_rows // 2) * self.num_rows)
             self.num_vertices = (self.num_shapes *
                                  len(self.shape_vertices) *
-                                 (self.filled and 1 or 2))
+                                 (1 if self.filled else 2))
 
     def set_vertices_and_codes(self, vertices, codes):
         offset = 1.0 / self.num_rows
         shape_vertices = self.shape_vertices * offset * self.size
-        if not self.filled:
-            inner_vertices = shape_vertices[::-1] * 0.9
         shape_codes = self.shape_codes
-        shape_size = len(shape_vertices)
-
-        cursor = 0
-        for row in xrange(self.num_rows + 1):
+        if not self.filled:
+            shape_vertices = np.concatenate(  # Forward, then backward.
+                [shape_vertices, shape_vertices[::-1] * 0.9])
+            shape_codes = np.concatenate([shape_codes, shape_codes])
+        vertices_parts = []
+        codes_parts = []
+        for row in range(self.num_rows + 1):
             if row % 2 == 0:
-                cols = np.linspace(0.0, 1.0, self.num_rows + 1, True)
+                cols = np.linspace(0, 1, self.num_rows + 1)
             else:
-                cols = np.linspace(offset / 2.0, 1.0 - offset / 2.0,
-                                   self.num_rows, True)
+                cols = np.linspace(offset / 2, 1 - offset / 2, self.num_rows)
             row_pos = row * offset
             for col_pos in cols:
-                vertices[cursor:cursor + shape_size] = (shape_vertices +
-                                                        (col_pos, row_pos))
-                codes[cursor:cursor + shape_size] = shape_codes
-                cursor += shape_size
-                if not self.filled:
-                    vertices[cursor:cursor + shape_size] = (inner_vertices +
-                                                            (col_pos, row_pos))
-                    codes[cursor:cursor + shape_size] = shape_codes
-                    cursor += shape_size
+                vertices_parts.append(shape_vertices + [col_pos, row_pos])
+                codes_parts.append(shape_codes)
+        np.concatenate(vertices_parts, out=vertices)
+        np.concatenate(codes_parts, out=codes)
 
 
 class Circles(Shapes):
@@ -139,7 +143,7 @@ def __init__(self, hatch, density):
         path = Path.unit_circle()
         self.shape_vertices = path.vertices
         self.shape_codes = path.codes
-        Shapes.__init__(self, hatch, density)
+        super().__init__(hatch, density)
 
 
 class SmallCircles(Circles):
@@ -147,7 +151,7 @@ class SmallCircles(Circles):
 
     def __init__(self, hatch, density):
         self.num_rows = (hatch.count('o')) * density
-        Circles.__init__(self, hatch, density)
+        super().__init__(hatch, density)
 
 
 class LargeCircles(Circles):
@@ -155,16 +159,16 @@ class LargeCircles(Circles):
 
     def __init__(self, hatch, density):
         self.num_rows = (hatch.count('O')) * density
-        Circles.__init__(self, hatch, density)
+        super().__init__(hatch, density)
 
 
-class SmallFilledCircles(SmallCircles):
+class SmallFilledCircles(Circles):
     size = 0.1
     filled = True
 
     def __init__(self, hatch, density):
         self.num_rows = (hatch.count('.')) * density
-        Circles.__init__(self, hatch, density)
+        super().__init__(hatch, density)
 
 
 class Stars(Shapes):
@@ -175,9 +179,11 @@ def __init__(self, hatch, density):
         self.num_rows = (hatch.count('*')) * density
         path = Path.unit_regular_star(5)
         self.shape_vertices = path.vertices
-        self.shape_codes = np.ones(len(self.shape_vertices)) * Path.LINETO
+        self.shape_codes = np.full(len(self.shape_vertices), Path.LINETO,
+                                   dtype=Path.code_type)
         self.shape_codes[0] = Path.MOVETO
-        Shapes.__init__(self, hatch, density)
+        self.shape_codes[-1] = Path.CLOSEPOLY
+        super().__init__(hatch, density)
 
 _hatch_types = [
     HorizontalHatch,
@@ -191,6 +197,23 @@ def __init__(self, hatch, density):
     ]
 
 
+def _validate_hatch_pattern(hatch):
+    valid_hatch_patterns = set(r'-+|/\xXoO.*')
+    if hatch is not None:
+        invalids = set(hatch).difference(valid_hatch_patterns)
+        if invalids:
+            valid = ''.join(sorted(valid_hatch_patterns))
+            invalids = ''.join(sorted(invalids))
+            _api.warn_deprecated(
+                '3.4',
+                removal='3.11',  # one release after custom hatches (#20690)
+                message=f'hatch must consist of a string of "{valid}" or '
+                        'None, but found the following invalid values '
+                        f'"{invalids}". Passing invalid values is deprecated '
+                        'since %(since)s and will become an error in %(removal)s.'
+            )
+
+
 def get_path(hatchpattern, density=6):
     """
     Given a hatch specifier, *hatchpattern*, generates Path to render
@@ -207,7 +230,7 @@ def get_path(hatchpattern, density=6):
         return Path(np.empty((0, 2)))
 
     vertices = np.empty((num_vertices, 2))
-    codes = np.empty((num_vertices,), np.uint8)
+    codes = np.empty(num_vertices, Path.code_type)
 
     cursor = 0
     for pattern in patterns:
diff --git a/lib/matplotlib/hatch.pyi b/lib/matplotlib/hatch.pyi
new file mode 100644
index 000000000000..348cf5214984
--- /dev/null
+++ b/lib/matplotlib/hatch.pyi
@@ -0,0 +1,68 @@
+from matplotlib.path import Path
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+class HatchPatternBase: ...
+
+class HorizontalHatch(HatchPatternBase):
+    num_lines: int
+    num_vertices: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+    def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ...
+
+class VerticalHatch(HatchPatternBase):
+    num_lines: int
+    num_vertices: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+    def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ...
+
+class NorthEastHatch(HatchPatternBase):
+    num_lines: int
+    num_vertices: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+    def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ...
+
+class SouthEastHatch(HatchPatternBase):
+    num_lines: int
+    num_vertices: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+    def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ...
+
+class Shapes(HatchPatternBase):
+    filled: bool
+    num_shapes: int
+    num_vertices: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+    def set_vertices_and_codes(self, vertices: ArrayLike, codes: ArrayLike) -> None: ...
+
+class Circles(Shapes):
+    shape_vertices: np.ndarray
+    shape_codes: np.ndarray
+    def __init__(self, hatch: str, density: int) -> None: ...
+
+class SmallCircles(Circles):
+    size: float
+    num_rows: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+
+class LargeCircles(Circles):
+    size: float
+    num_rows: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+
+class SmallFilledCircles(Circles):
+    size: float
+    filled: bool
+    num_rows: int
+    def __init__(self, hatch: str, density: int) -> None: ...
+
+class Stars(Shapes):
+    size: float
+    filled: bool
+    num_rows: int
+    shape_vertices: np.ndarray
+    shape_codes: np.ndarray
+    def __init__(self, hatch: str, density: int) -> None: ...
+
+def get_path(hatchpattern: str, density: int = ...) -> Path: ...
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
index 65fb94f4393a..6ca472518b65 100644
--- a/lib/matplotlib/image.py
+++ b/lib/matplotlib/image.py
@@ -1,465 +1,719 @@
 """
 The image module supports basic image loading, rescaling and display
 operations.
-
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
 
+import math
 import os
+import logging
+from pathlib import Path
 import warnings
 
 import numpy as np
+import PIL.Image
+import PIL.PngImagePlugin
 
-from matplotlib import rcParams
+import matplotlib as mpl
+from matplotlib import _api, cbook
+# For clarity, names from _image are given explicitly in this module
+from matplotlib import _image
+# For user convenience, the names from _image are also imported into
+# the image namespace
+from matplotlib._image import *  # noqa: F401, F403
 import matplotlib.artist as martist
-from matplotlib.artist import allow_rasterization
+import matplotlib.colorizer as mcolorizer
+from matplotlib.backend_bases import FigureCanvasBase
 import matplotlib.colors as mcolors
-import matplotlib.cm as cm
-import matplotlib.cbook as cbook
+from matplotlib.transforms import (
+    Affine2D, BboxBase, Bbox, BboxTransform, BboxTransformTo,
+    IdentityTransform, TransformedBbox)
+
+_log = logging.getLogger(__name__)
+
+# map interpolation strings to module constants
+_interpd_ = {
+    'auto': _image.NEAREST,  # this will use nearest or Hanning...
+    'none': _image.NEAREST,  # fall back to nearest when not supported
+    'nearest': _image.NEAREST,
+    'bilinear': _image.BILINEAR,
+    'bicubic': _image.BICUBIC,
+    'spline16': _image.SPLINE16,
+    'spline36': _image.SPLINE36,
+    'hanning': _image.HANNING,
+    'hamming': _image.HAMMING,
+    'hermite': _image.HERMITE,
+    'kaiser': _image.KAISER,
+    'quadric': _image.QUADRIC,
+    'catrom': _image.CATROM,
+    'gaussian': _image.GAUSSIAN,
+    'bessel': _image.BESSEL,
+    'mitchell': _image.MITCHELL,
+    'sinc': _image.SINC,
+    'lanczos': _image.LANCZOS,
+    'blackman': _image.BLACKMAN,
+    'antialiased': _image.NEAREST,  # this will use nearest or Hanning...
+}
+
+interpolations_names = set(_interpd_)
+
+
+def composite_images(images, renderer, magnification=1.0):
+    """
+    Composite a number of RGBA images into one.  The images are
+    composited in the order in which they appear in the *images* list.
+
+    Parameters
+    ----------
+    images : list of Images
+        Each must have a `!make_image` method.  For each image,
+        `!can_composite` should return `True`, though this is not
+        enforced by this function.  Each image must have a purely
+        affine transformation with no shear.
+
+    renderer : `.RendererBase`
+
+    magnification : float, default: 1
+        The additional magnification to apply for the renderer in use.
+
+    Returns
+    -------
+    image : (M, N, 4) `numpy.uint8` array
+        The composited RGBA image.
+    offset_x, offset_y : float
+        The (left, bottom) offset where the composited image should be placed
+        in the output figure.
+    """
+    if len(images) == 0:
+        return np.empty((0, 0, 4), dtype=np.uint8), 0, 0
 
-# For clarity, names from _image are given explicitly in this module:
-import matplotlib._image as _image
-import matplotlib._png as _png
+    parts = []
+    bboxes = []
+    for image in images:
+        data, x, y, trans = image.make_image(renderer, magnification)
+        if data is not None:
+            x *= magnification
+            y *= magnification
+            parts.append((data, x, y, image._get_scalar_alpha()))
+            bboxes.append(
+                Bbox([[x, y], [x + data.shape[1], y + data.shape[0]]]))
 
-# For user convenience, the names from _image are also imported into
-# the image namespace:
-from matplotlib._image import *
+    if len(parts) == 0:
+        return np.empty((0, 0, 4), dtype=np.uint8), 0, 0
 
-from matplotlib.transforms import BboxBase, Bbox, IdentityTransform
-import matplotlib.transforms as mtransforms
+    bbox = Bbox.union(bboxes)
 
+    output = np.zeros(
+        (int(bbox.height), int(bbox.width), 4), dtype=np.uint8)
 
-class _AxesImageBase(martist.Artist, cm.ScalarMappable):
-    zorder = 0
-    # map interpolation strings to module constants
-    _interpd = {
-        'none': _image.NEAREST,  # fall back to nearest when not supported
-        'nearest': _image.NEAREST,
-        'bilinear': _image.BILINEAR,
-        'bicubic': _image.BICUBIC,
-        'spline16': _image.SPLINE16,
-        'spline36': _image.SPLINE36,
-        'hanning': _image.HANNING,
-        'hamming': _image.HAMMING,
-        'hermite': _image.HERMITE,
-        'kaiser': _image.KAISER,
-        'quadric': _image.QUADRIC,
-        'catrom': _image.CATROM,
-        'gaussian': _image.GAUSSIAN,
-        'bessel': _image.BESSEL,
-        'mitchell': _image.MITCHELL,
-        'sinc': _image.SINC,
-        'lanczos': _image.LANCZOS,
-        'blackman': _image.BLACKMAN,
-    }
-
-    # reverse interp dict
-    _interpdr = dict([(v, k) for k, v in six.iteritems(_interpd)])
-
-    interpnames = list(six.iterkeys(_interpd))
+    for data, x, y, alpha in parts:
+        trans = Affine2D().translate(x - bbox.x0, y - bbox.y0)
+        _image.resample(data, output, trans, _image.NEAREST,
+                        resample=False, alpha=alpha)
+
+    return output, bbox.x0 / magnification, bbox.y0 / magnification
+
+
+def _draw_list_compositing_images(
+        renderer, parent, artists, suppress_composite=None):
+    """
+    Draw a sorted list of artists, compositing images into a single
+    image where possible.
+
+    For internal Matplotlib use only: It is here to reduce duplication
+    between `Figure.draw` and `Axes.draw`, but otherwise should not be
+    generally useful.
+    """
+    has_images = any(isinstance(x, _ImageBase) for x in artists)
+
+    # override the renderer default if suppressComposite is not None
+    not_composite = (suppress_composite if suppress_composite is not None
+                     else renderer.option_image_nocomposite())
+
+    if not_composite or not has_images:
+        for a in artists:
+            a.draw(renderer)
+    else:
+        # Composite any adjacent images together
+        image_group = []
+        mag = renderer.get_image_magnification()
+
+        def flush_images():
+            if len(image_group) == 1:
+                image_group[0].draw(renderer)
+            elif len(image_group) > 1:
+                data, l, b = composite_images(image_group, renderer, mag)
+                if data.size != 0:
+                    gc = renderer.new_gc()
+                    gc.set_clip_rectangle(parent.bbox)
+                    gc.set_clip_path(parent.get_clip_path())
+                    renderer.draw_image(gc, round(l), round(b), data)
+                    gc.restore()
+            del image_group[:]
+
+        for a in artists:
+            if (isinstance(a, _ImageBase) and a.can_composite() and
+                    a.get_clip_on() and not a.get_clip_path()):
+                image_group.append(a)
+            else:
+                flush_images()
+                a.draw(renderer)
+        flush_images()
+
+
+def _resample(
+        image_obj, data, out_shape, transform, *, resample=None, alpha=1):
+    """
+    Convenience wrapper around `._image.resample` to resample *data* to
+    *out_shape* (with a third dimension if *data* is RGBA) that takes care of
+    allocating the output array and fetching the relevant properties from the
+    Image object *image_obj*.
+    """
+    # AGG can only handle coordinates smaller than 24-bit signed integers,
+    # so raise errors if the input data is larger than _image.resample can
+    # handle.
+    msg = ('Data with more than {n} cannot be accurately displayed. '
+           'Downsampling to less than {n} before displaying. '
+           'To remove this warning, manually downsample your data.')
+    if data.shape[1] > 2**23:
+        warnings.warn(msg.format(n='2**23 columns'))
+        step = int(np.ceil(data.shape[1] / 2**23))
+        data = data[:, ::step]
+        transform = Affine2D().scale(step, 1) + transform
+    if data.shape[0] > 2**24:
+        warnings.warn(msg.format(n='2**24 rows'))
+        step = int(np.ceil(data.shape[0] / 2**24))
+        data = data[::step, :]
+        transform = Affine2D().scale(1, step) + transform
+    # decide if we need to apply anti-aliasing if the data is upsampled:
+    # compare the number of displayed pixels to the number of
+    # the data pixels.
+    interpolation = image_obj.get_interpolation()
+    if interpolation in ['antialiased', 'auto']:
+        # don't antialias if upsampling by an integer number or
+        # if zooming in more than a factor of 3
+        pos = np.array([[0, 0], [data.shape[1], data.shape[0]]])
+        disp = transform.transform(pos)
+        dispx = np.abs(np.diff(disp[:, 0]))
+        dispy = np.abs(np.diff(disp[:, 1]))
+        if ((dispx > 3 * data.shape[1] or
+                dispx == data.shape[1] or
+                dispx == 2 * data.shape[1]) and
+            (dispy > 3 * data.shape[0] or
+                dispy == data.shape[0] or
+                dispy == 2 * data.shape[0])):
+            interpolation = 'nearest'
+        else:
+            interpolation = 'hanning'
+    out = np.zeros(out_shape + data.shape[2:], data.dtype)  # 2D->2D, 3D->3D.
+    if resample is None:
+        resample = image_obj.get_resample()
+    _image.resample(data, out, transform,
+                    _interpd_[interpolation],
+                    resample,
+                    alpha,
+                    image_obj.get_filternorm(),
+                    image_obj.get_filterrad())
+    return out
+
+
+def _rgb_to_rgba(A):
+    """
+    Convert an RGB image to RGBA, as required by the image resample C++
+    extension.
+    """
+    rgba = np.zeros((A.shape[0], A.shape[1], 4), dtype=A.dtype)
+    rgba[:, :, :3] = A
+    if rgba.dtype == np.uint8:
+        rgba[:, :, 3] = 255
+    else:
+        rgba[:, :, 3] = 1.0
+    return rgba
 
-    def __str__(self):
-        return "AxesImage(%g,%g;%gx%g)" % tuple(self.axes.bbox.bounds)
+
+class _ImageBase(mcolorizer.ColorizingArtist):
+    """
+    Base class for images.
+
+    *interpolation* and *cmap* default to their rc settings.
+
+    *cmap* is a `.colors.Colormap` instance.
+    *norm* is a `.colors.Normalize` instance to map luminance to 0-1.
+
+    *extent* is a ``(left, right, bottom, top)`` tuple in data coordinates, for
+    making image plots registered with data plots; the default is to label the
+    pixel centers with the zero-based row and column indices.
+
+    Additional kwargs are `.Artist` properties.
+    """
+
+    zorder = 0
 
     def __init__(self, ax,
                  cmap=None,
                  norm=None,
+                 colorizer=None,
                  interpolation=None,
                  origin=None,
-                 filternorm=1,
+                 filternorm=True,
                  filterrad=4.0,
                  resample=False,
+                 *,
+                 interpolation_stage=None,
                  **kwargs
                  ):
-        """
-        interpolation and cmap default to their rc settings
-
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        extent is data axes (left, right, bottom, top) for making image plots
-        registered with data plots.  Default is to label the pixel
-        centers with the zero-based row and column indices.
-
-        Additional kwargs are matplotlib.artist properties
-
-        """
-        martist.Artist.__init__(self)
-        cm.ScalarMappable.__init__(self, norm, cmap)
-
-        if origin is None:
-            origin = rcParams['image.origin']
+        super().__init__(self._get_colorizer(cmap, norm, colorizer))
+        origin = mpl._val_or_rc(origin, 'image.origin')
+        _api.check_in_list(["upper", "lower"], origin=origin)
         self.origin = origin
         self.set_filternorm(filternorm)
         self.set_filterrad(filterrad)
-        self._filterrad = filterrad
-
         self.set_interpolation(interpolation)
+        self.set_interpolation_stage(interpolation_stage)
         self.set_resample(resample)
         self.axes = ax
 
         self._imcache = None
 
-        # this is an experimental attribute, if True, unsampled image
-        # will be drawn using the affine transform that are
-        # appropriately skewed so that the given position
-        # corresponds to the actual position in the coordinate. -JJL
-        self._image_skew_coordinate = None
+        self._internal_update(kwargs)
 
-        self.update(kwargs)
+    def __str__(self):
+        try:
+            shape = self.get_shape()
+            return f"{type(self).__name__}(shape={shape!r})"
+        except RuntimeError:
+            return type(self).__name__
 
     def __getstate__(self):
-        state = super(_AxesImageBase, self).__getstate__()
-        # We can't pickle the C Image cached object.
-        state.pop('_imcache', None)
-        return state
+        # Save some space on the pickle by not saving the cache.
+        return {**super().__getstate__(), "_imcache": None}
 
     def get_size(self):
-        """Get the numrows, numcols of the input image"""
+        """Return the size of the image as tuple (numrows, numcols)."""
+        return self.get_shape()[:2]
+
+    def get_shape(self):
+        """
+        Return the shape of the image as tuple (numrows, numcols, channels).
+        """
         if self._A is None:
             raise RuntimeError('You must first set the image array')
 
-        return self._A.shape[:2]
+        return self._A.shape
 
     def set_alpha(self, alpha):
         """
-        Set the alpha value used for blending - not supported on
-        all backends
+        Set the alpha value used for blending - not supported on all backends.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        alpha : float or 2D array-like or None
         """
-        martist.Artist.set_alpha(self, alpha)
+        martist.Artist._set_alpha_for_array(self, alpha)
+        if np.ndim(alpha) not in (0, 2):
+            raise TypeError('alpha must be a float, two-dimensional '
+                            'array, or None')
         self._imcache = None
 
+    def _get_scalar_alpha(self):
+        """
+        Get a scalar alpha value to be applied to the artist as a whole.
+
+        If the alpha value is a matrix, the method returns 1.0 because pixels
+        have individual alpha values (see `~._ImageBase._make_image` for
+        details). If the alpha value is a scalar, the method returns said value
+        to be applied to the artist as a whole because pixels do not have
+        individual alpha values.
+        """
+        return 1.0 if self._alpha is None or np.ndim(self._alpha) > 0 \
+            else self._alpha
+
     def changed(self):
         """
-        Call this whenever the mappable is changed so observers can
-        update state
+        Call this whenever the mappable is changed so observers can update.
         """
         self._imcache = None
-        self._rgbacache = None
-        cm.ScalarMappable.changed(self)
+        super().changed()
 
-    def make_image(self, magnification=1.0):
-        raise RuntimeError('The make_image method must be overridden.')
-
-    def _get_unsampled_image(self, A, image_extents, viewlim):
+    def _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification=1.0,
+                    unsampled=False, round_to_pixel_border=True):
         """
-        convert numpy array A with given extents ([x1, x2, y1, y2] in
-        data coordinate) into the Image, given the viewlim (should be a
-        bbox instance).  Image will be clipped if the extents is
-        significantly larger than the viewlim.
+        Normalize, rescale, and colormap the image *A* from the given *in_bbox*
+        (in data space), to the given *out_bbox* (in pixel space) clipped to
+        the given *clip_bbox* (also in pixel space), and magnified by the
+        *magnification* factor.
+
+        Parameters
+        ----------
+        A : ndarray
+
+            - a (M, N) array interpreted as scalar (greyscale) image,
+              with one of the dtypes `~numpy.float32`, `~numpy.float64`,
+              `~numpy.float128`, `~numpy.uint16` or `~numpy.uint8`.
+            - (M, N, 4) RGBA image with a dtype of `~numpy.float32`,
+              `~numpy.float64`, `~numpy.float128`, or `~numpy.uint8`.
+
+        in_bbox : `~matplotlib.transforms.Bbox`
+
+        out_bbox : `~matplotlib.transforms.Bbox`
+
+        clip_bbox : `~matplotlib.transforms.Bbox`
+
+        magnification : float, default: 1
+
+        unsampled : bool, default: False
+            If True, the image will not be scaled, but an appropriate
+            affine transformation will be returned instead.
+
+        round_to_pixel_border : bool, default: True
+            If True, the output image size will be rounded to the nearest pixel
+            boundary.  This makes the images align correctly with the Axes.
+            It should not be used if exact scaling is needed, such as for
+            `.FigureImage`.
+
+        Returns
+        -------
+        image : (M, N, 4) `numpy.uint8` array
+            The RGBA image, resampled unless *unsampled* is True.
+        x, y : float
+            The upper left corner where the image should be drawn, in pixel
+            space.
+        trans : `~matplotlib.transforms.Affine2D`
+            The affine transformation from image to pixel space.
         """
-        xmin, xmax, ymin, ymax = image_extents
-        dxintv = xmax-xmin
-        dyintv = ymax-ymin
+        if A is None:
+            raise RuntimeError('You must first set the image '
+                               'array or the image attribute')
+        if A.size == 0:
+            raise RuntimeError("_make_image must get a non-empty image. "
+                               "Your Artist's draw method must filter before "
+                               "this method is called.")
 
-        # the viewport scale factor
-        if viewlim.width == 0.0 and dxintv == 0.0:
-            sx = 1.0
-        else:
-            sx = dxintv/viewlim.width
-        if viewlim.height == 0.0 and dyintv == 0.0:
-            sy = 1.0
-        else:
-            sy = dyintv/viewlim.height
-        numrows, numcols = A.shape[:2]
-        if sx > 2:
-            x0 = (viewlim.x0-xmin)/dxintv * numcols
-            ix0 = max(0, int(x0 - self._filterrad))
-            x1 = (viewlim.x1-xmin)/dxintv * numcols
-            ix1 = min(numcols, int(x1 + self._filterrad))
-            xslice = slice(ix0, ix1)
-            xmin_old = xmin
-            xmin = xmin_old + ix0*dxintv/numcols
-            xmax = xmin_old + ix1*dxintv/numcols
-            dxintv = xmax - xmin
-            sx = dxintv/viewlim.width
-        else:
-            xslice = slice(0, numcols)
+        clipped_bbox = Bbox.intersection(out_bbox, clip_bbox)
 
-        if sy > 2:
-            y0 = (viewlim.y0-ymin)/dyintv * numrows
-            iy0 = max(0, int(y0 - self._filterrad))
-            y1 = (viewlim.y1-ymin)/dyintv * numrows
-            iy1 = min(numrows, int(y1 + self._filterrad))
-            if self.origin == 'upper':
-                yslice = slice(numrows-iy1, numrows-iy0)
-            else:
-                yslice = slice(iy0, iy1)
-            ymin_old = ymin
-            ymin = ymin_old + iy0*dyintv/numrows
-            ymax = ymin_old + iy1*dyintv/numrows
-            dyintv = ymax - ymin
-            sy = dyintv/viewlim.height
-        else:
-            yslice = slice(0, numrows)
+        if clipped_bbox is None:
+            return None, 0, 0, None
 
-        if xslice != self._oldxslice or yslice != self._oldyslice:
-            self._imcache = None
-            self._oldxslice = xslice
-            self._oldyslice = yslice
+        out_width_base = clipped_bbox.width * magnification
+        out_height_base = clipped_bbox.height * magnification
 
-        if self._imcache is None:
-            A = self._A
-            if self.origin == 'upper':
-                A = A[::-1]
+        if out_width_base == 0 or out_height_base == 0:
+            return None, 0, 0, None
 
-            if A.dtype == np.uint8 and A.ndim == 3:
-                im = _image.frombyte(A[yslice, xslice, :], 0)
-                im.is_grayscale = False
-            else:
-                if self._rgbacache is None:
-                    x = self.to_rgba(A, bytes=False)
-                    # Avoid side effects: to_rgba can return its argument
-                    # unchanged.
-                    if np.may_share_memory(x, A):
-                        x = x.copy()
-                    # premultiply the colors
-                    x[..., 0:3] *= x[..., 3:4]
-                    x = (x * 255).astype(np.uint8)
-                    self._rgbacache = x
-                else:
-                    x = self._rgbacache
-                im = _image.frombyte(x[yslice, xslice, :], 0)
-                if self._A.ndim == 2:
-                    im.is_grayscale = self.cmap.is_gray()
-                else:
-                    im.is_grayscale = False
-            self._imcache = im
+        if self.origin == 'upper':
+            # Flip the input image using a transform.  This avoids the
+            # problem with flipping the array, which results in a copy
+            # when it is converted to contiguous in the C wrapper
+            t0 = Affine2D().translate(0, -A.shape[0]).scale(1, -1)
         else:
-            im = self._imcache
-
-        return im, xmin, ymin, dxintv, dyintv, sx, sy
-
-    @staticmethod
-    def _get_rotate_and_skew_transform(x1, y1, x2, y2, x3, y3):
-        """
-        Retuen a transform that does
-         (x1, y1) -> (x1, y1)
-         (x2, y2) -> (x2, y2)
-         (x2, y1) -> (x3, y3)
-
-        It was intended to derive a skew transform that preserve the
-        lower-left corner (x1, y1) and top-right corner(x2,y2), but
-        change the the lower-right-corner(x2, y1) to a new position
-        (x3, y3).
-        """
-        tr1 = mtransforms.Affine2D()
-        tr1.translate(-x1, -y1)
-        x2a, y2a = tr1.transform_point((x2, y2))
-        x3a, y3a = tr1.transform_point((x3, y3))
-
-        inv_mat = 1. / (x2a*y3a-y2a*x3a) * np.mat([[y3a, -y2a], [-x3a, x2a]])
+            t0 = IdentityTransform()
+
+        t0 += (
+            Affine2D()
+            .scale(
+                in_bbox.width / A.shape[1],
+                in_bbox.height / A.shape[0])
+            .translate(in_bbox.x0, in_bbox.y0)
+            + self.get_transform())
+
+        t = (t0
+             + (Affine2D()
+                .translate(-clipped_bbox.x0, -clipped_bbox.y0)
+                .scale(magnification)))
+
+        # So that the image is aligned with the edge of the Axes, we want to
+        # round up the output width to the next integer.  This also means
+        # scaling the transform slightly to account for the extra subpixel.
+        if ((not unsampled) and t.is_affine and round_to_pixel_border and
+                (out_width_base % 1.0 != 0.0 or out_height_base % 1.0 != 0.0)):
+            out_width = math.ceil(out_width_base)
+            out_height = math.ceil(out_height_base)
+            extra_width = (out_width - out_width_base) / out_width_base
+            extra_height = (out_height - out_height_base) / out_height_base
+            t += Affine2D().scale(1.0 + extra_width, 1.0 + extra_height)
+        else:
+            out_width = int(out_width_base)
+            out_height = int(out_height_base)
+        out_shape = (out_height, out_width)
+
+        if not unsampled:
+            if not (A.ndim == 2 or A.ndim == 3 and A.shape[-1] in (3, 4)):
+                raise ValueError(f"Invalid shape {A.shape} for image data")
+
+            float_rgba_in = A.ndim == 3 and A.shape[-1] == 4 and A.dtype.kind == 'f'
+
+            # if antialiased, this needs to change as window sizes
+            # change:
+            interpolation_stage = self._interpolation_stage
+            if interpolation_stage in ['antialiased', 'auto']:
+                pos = np.array([[0, 0], [A.shape[1], A.shape[0]]])
+                disp = t.transform(pos)
+                dispx = np.abs(np.diff(disp[:, 0])) / A.shape[1]
+                dispy = np.abs(np.diff(disp[:, 1])) / A.shape[0]
+                if (dispx < 3) or (dispy < 3):
+                    interpolation_stage = 'rgba'
+                else:
+                    interpolation_stage = 'data'
+
+            if A.ndim == 2 and interpolation_stage == 'data':
+                # if we are a 2D array, then we are running through the
+                # norm + colormap transformation.  However, in general the
+                # input data is not going to match the size on the screen so we
+                # have to resample to the correct number of pixels
+
+                if A.dtype.kind == 'f':  # Float dtype: scale to same dtype.
+                    scaled_dtype = np.dtype("f8" if A.dtype.itemsize > 4 else "f4")
+                    if scaled_dtype.itemsize < A.dtype.itemsize:
+                        _api.warn_external(f"Casting input data from {A.dtype}"
+                                           f" to {scaled_dtype} for imshow.")
+                else:  # Int dtype, likely.
+                    # TODO slice input array first
+                    # Scale to appropriately sized float: use float32 if the
+                    # dynamic range is small, to limit the memory footprint.
+                    da = A.max().astype("f8") - A.min().astype("f8")
+                    scaled_dtype = "f8" if da > 1e8 else "f4"
+
+                # resample the input data to the correct resolution and shape
+                A_resampled = _resample(self, A.astype(scaled_dtype), out_shape, t)
+
+                # if using NoNorm, cast back to the original datatype
+                if isinstance(self.norm, mcolors.NoNorm):
+                    A_resampled = A_resampled.astype(A.dtype)
+
+                # Compute out_mask (what screen pixels include "bad" data
+                # pixels) and out_alpha (to what extent screen pixels are
+                # covered by data pixels: 0 outside the data extent, 1 inside
+                # (even for bad data), and intermediate values at the edges).
+                mask = (np.where(A.mask, np.float32(np.nan), np.float32(1))
+                        if A.mask.shape == A.shape  # nontrivial mask
+                        else np.ones_like(A, np.float32))
+                # we always have to interpolate the mask to account for
+                # non-affine transformations
+                out_alpha = _resample(self, mask, out_shape, t, resample=True)
+                del mask  # Make sure we don't use mask anymore!
+                out_mask = np.isnan(out_alpha)
+                out_alpha[out_mask] = 1
+                # Apply the pixel-by-pixel alpha values if present
+                alpha = self.get_alpha()
+                if alpha is not None and np.ndim(alpha) > 0:
+                    out_alpha *= _resample(self, alpha, out_shape, t, resample=True)
+                # mask and run through the norm
+                resampled_masked = np.ma.masked_array(A_resampled, out_mask)
+                res = self.norm(resampled_masked)
+            else:
+                if A.ndim == 2:  # interpolation_stage = 'rgba'
+                    self.norm.autoscale_None(A)
+                    A = self.to_rgba(A)
+                if A.dtype == np.uint8:
+                    # uint8 is too imprecise for premultiplied alpha roundtrips.
+                    A = np.divide(A, 0xff, dtype=np.float32)
+                alpha = self.get_alpha()
+                post_apply_alpha = False
+                if alpha is None:  # alpha parameter not specified
+                    if A.shape[2] == 3:  # image has no alpha channel
+                        A = np.dstack([A, np.ones(A.shape[:2])])
+                elif np.ndim(alpha) > 0:  # Array alpha
+                    # user-specified array alpha overrides the existing alpha channel
+                    A = np.dstack([A[..., :3], alpha])
+                else:  # Scalar alpha
+                    if A.shape[2] == 3:  # broadcast scalar alpha
+                        A = np.dstack([A, np.full(A.shape[:2], alpha, np.float32)])
+                    else:  # or apply scalar alpha to existing alpha channel
+                        post_apply_alpha = True
+                # Resample in premultiplied alpha space.  (TODO: Consider
+                # implementing premultiplied-space resampling in
+                # span_image_resample_rgba_affine::generate?)
+                if float_rgba_in and np.ndim(alpha) == 0 and np.any(A[..., 3] < 1):
+                    # Do not modify original RGBA input
+                    A = A.copy()
+                A[..., :3] *= A[..., 3:]
+                res = _resample(self, A, out_shape, t)
+                np.divide(res[..., :3], res[..., 3:], out=res[..., :3],
+                            where=res[..., 3:] != 0)
+                if post_apply_alpha:
+                    res[..., 3] *= alpha
+
+            # res is now either a 2D array of normed (int or float) data
+            # or an RGBA array of re-sampled input
+            output = self.to_rgba(res, bytes=True, norm=False)
+            # output is now a correctly sized RGBA array of uint8
+
+            # Apply alpha *after* if the input was greyscale without a mask
+            if A.ndim == 2:
+                alpha = self._get_scalar_alpha()
+                alpha_channel = output[:, :, 3]
+                alpha_channel[:] = (  # Assignment will cast to uint8.
+                    alpha_channel.astype(np.float32) * out_alpha * alpha)
 
-        a, b = (inv_mat * np.mat([[x2a], [x2a]])).flat
-        c, d = (inv_mat * np.mat([[y2a], [0]])).flat
+        else:
+            if self._imcache is None:
+                self._imcache = self.to_rgba(A, bytes=True, norm=(A.ndim == 2))
+            output = self._imcache
 
-        tr2 = mtransforms.Affine2D.from_values(a, c, b, d, 0, 0)
+            # Subset the input image to only the part that will be displayed.
+            subset = TransformedBbox(clip_bbox, t0.inverted()).frozen()
+            output = output[
+                int(max(subset.ymin, 0)):
+                int(min(subset.ymax + 1, output.shape[0])),
+                int(max(subset.xmin, 0)):
+                int(min(subset.xmax + 1, output.shape[1]))]
 
-        tr = (tr1 + tr2 +
-              mtransforms.Affine2D().translate(x1, y1)).inverted().get_affine()
+            t = Affine2D().translate(
+                int(max(subset.xmin, 0)), int(max(subset.ymin, 0))) + t
 
-        return tr
+        return output, clipped_bbox.x0, clipped_bbox.y0, t
 
-    def _draw_unsampled_image(self, renderer, gc):
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
         """
-        draw unsampled image. The renderer should support a draw_image method
-        with scale parameter.
+        Normalize, rescale, and colormap this image's data for rendering using
+        *renderer*, with the given *magnification*.
+
+        If *unsampled* is True, the image will not be scaled, but an
+        appropriate affine transformation will be returned instead.
+
+        Returns
+        -------
+        image : (M, N, 4) `numpy.uint8` array
+            The RGBA image, resampled unless *unsampled* is True.
+        x, y : float
+            The upper left corner where the image should be drawn, in pixel
+            space.
+        trans : `~matplotlib.transforms.Affine2D`
+            The affine transformation from image to pixel space.
         """
-        trans = self.get_transform()  # axes.transData
-
-        # convert the coordinates to the intermediate coordinate (ic).
-        # The transformation from the ic to the canvas is a pure
-        # affine transform.
-
-        # A straight-forward way is to use the non-affine part of the
-        # original transform for conversion to the ic.
-
-        # firs, convert the image extent to the ic
-        x_llc, x_trc, y_llc, y_trc = self.get_extent()
+        raise NotImplementedError('The make_image method must be overridden')
 
-        xy = trans.transform(np.array([(x_llc, y_llc),
-                                       (x_trc, y_trc)]))
-
-        _xx1, _yy1 = xy[0]
-        _xx2, _yy2 = xy[1]
-
-        extent_in_ic = _xx1, _xx2, _yy1, _yy2
-
-        # define trans_ic_to_canvas : unless _image_skew_coordinate is
-        # set, it is simply a affine part of the original transform.
-        if self._image_skew_coordinate:
-            # skew the image when required.
-            x_lrc, y_lrc = self._image_skew_coordinate
-            xy2 = trans.transform(np.array([(x_lrc, y_lrc)]))
-            _xx3, _yy3 = xy2[0]
-
-            tr_rotate_skew = self._get_rotate_and_skew_transform(_xx1, _yy1,
-                                                                 _xx2, _yy2,
-                                                                 _xx3, _yy3)
-            trans_ic_to_canvas = tr_rotate_skew
-        else:
-            trans_ic_to_canvas = IdentityTransform()
-
-        # Now, viewLim in the ic.  It can be rotated and can be
-        # skewed. Make it big enough.
-        x1, y1, x2, y2 = self.axes.bbox.extents
-        trans_canvas_to_ic = trans_ic_to_canvas.inverted()
-        xy_ = trans_canvas_to_ic.transform(np.array([(x1, y1),
-                                                     (x2, y1),
-                                                     (x2, y2),
-                                                     (x1, y2)]))
-        x1_, x2_ = min(xy_[:, 0]), max(xy_[:, 0])
-        y1_, y2_ = min(xy_[:, 1]), max(xy_[:, 1])
-        viewLim_in_ic = Bbox.from_extents(x1_, y1_, x2_, y2_)
-
-        # get the image, sliced if necessary. This is done in the ic.
-        im, xmin, ymin, dxintv, dyintv, sx, sy = \
-            self._get_unsampled_image(self._A, extent_in_ic, viewLim_in_ic)
-
-        if im is None:
-            return  # I'm not if this check is required. -JJL
-
-        fc = self.axes.patch.get_facecolor()
-        bg = mcolors.colorConverter.to_rgba(fc, 0)
-        im.set_bg(*bg)
-
-        # image input dimensions
-        im.reset_matrix()
-        numrows, numcols = im.get_size()
-
-        if numrows <= 0 or numcols <= 0:
-            return
-        im.resize(numcols, numrows)  # just to create im.bufOut that
-                                     # is required by backends. There
-                                     # may be better solution -JJL
-
-        im._url = self.get_url()
-        im._gid = self.get_gid()
-
-        renderer.draw_image(gc, xmin, ymin, im, dxintv, dyintv,
-                            trans_ic_to_canvas)
-
-    def _check_unsampled_image(self, renderer):
+    def _check_unsampled_image(self):
         """
-        return True if the image is better to be drawn unsampled.
+        Return whether the image is better to be drawn unsampled.
+
         The derived class needs to override it.
         """
         return False
 
-    @allow_rasterization
-    def draw(self, renderer, *args, **kwargs):
+    @martist.allow_rasterization
+    def draw(self, renderer):
+        # if not visible, declare victory and return
         if not self.get_visible():
+            self.stale = False
             return
-        if (self.axes.get_xscale() != 'linear' or
-            self.axes.get_yscale() != 'linear'):
-            warnings.warn("Images are not supported on non-linear axes.")
-
-        l, b, widthDisplay, heightDisplay = self.axes.bbox.bounds
+        # for empty images, there is nothing to draw!
+        if self.get_array().size == 0:
+            self.stale = False
+            return
+        # actually render the image.
         gc = renderer.new_gc()
         self._set_gc_clip(gc)
-        gc.set_alpha(self.get_alpha())
-
-        if self._check_unsampled_image(renderer):
-            self._draw_unsampled_image(renderer, gc)
+        gc.set_alpha(self._get_scalar_alpha())
+        gc.set_url(self.get_url())
+        gc.set_gid(self.get_gid())
+        if (renderer.option_scale_image()  # Renderer supports transform kwarg.
+                and self._check_unsampled_image()
+                and self.get_transform().is_affine):
+            im, l, b, trans = self.make_image(renderer, unsampled=True)
+            if im is not None:
+                trans = Affine2D().scale(im.shape[1], im.shape[0]) + trans
+                renderer.draw_image(gc, l, b, im, trans)
         else:
-            if self._image_skew_coordinate is not None:
-                warnings.warn("Image will not be shown"
-                              " correctly with this backend.")
-
-            im = self.make_image(renderer.get_image_magnification())
-            if im is None:
-                return
-            im._url = self.get_url()
-            im._gid = self.get_gid()
-            renderer.draw_image(gc, l, b, im)
+            im, l, b, trans = self.make_image(
+                renderer, renderer.get_image_magnification())
+            if im is not None:
+                renderer.draw_image(gc, l, b, im)
         gc.restore()
+        self.stale = False
 
     def contains(self, mouseevent):
-        """
-        Test whether the mouse event occured within the image.
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
+        """Test whether the mouse event occurred within the image."""
+        if (self._different_canvas(mouseevent)
+                # This doesn't work for figimage.
+                or not self.axes.contains(mouseevent)[0]):
+            return False, {}
         # TODO: make sure this is consistent with patch and patch
         # collection on nonlinear transformed coordinates.
         # TODO: consider returning image coordinates (shouldn't
         # be too difficult given that the image is rectilinear
-        x, y = mouseevent.xdata, mouseevent.ydata
+        trans = self.get_transform().inverted()
+        x, y = trans.transform([mouseevent.x, mouseevent.y])
         xmin, xmax, ymin, ymax = self.get_extent()
-        if xmin > xmax:
-            xmin, xmax = xmax, xmin
-        if ymin > ymax:
-            ymin, ymax = ymax, ymin
-        #print x, y, xmin, xmax, ymin, ymax
-        if x is not None and y is not None:
-            inside = ((x >= xmin) and (x <= xmax) and
-                      (y >= ymin) and (y <= ymax))
-        else:
-            inside = False
-
+        # This checks xmin <= x <= xmax *or* xmax <= x <= xmin.
+        inside = (x is not None and (x - xmin) * (x - xmax) <= 0
+                  and y is not None and (y - ymin) * (y - ymax) <= 0)
         return inside, {}
 
-    def write_png(self, fname, noscale=False):
-        """Write the image to png file with fname"""
-        im = self.make_image()
-        if im is None:
-            return
-        if noscale:
-            numrows, numcols = im.get_size()
-            im.reset_matrix()
-            im.set_interpolation(0)
-            im.resize(numcols, numrows)
-        _png.write_png(im, fname)
+    def write_png(self, fname):
+        """Write the image to png file *fname*."""
+        im = self.to_rgba(self._A[::-1] if self.origin == 'lower' else self._A,
+                          bytes=True, norm=True)
+        PIL.Image.fromarray(im).save(fname, format="png")
 
-    def set_data(self, A):
+    @staticmethod
+    def _normalize_image_array(A):
         """
-        Set the image array
-
-        ACCEPTS: numpy/PIL Image A
+        Check validity of image-like input *A* and normalize it to a format suitable for
+        Image subclasses.
         """
-        # check if data is PIL Image without importing Image
-        if hasattr(A, 'getpixel'):
-            self._A = pil_to_array(A)
-        else:
-            self._A = cbook.safe_masked_invalid(A)
+        A = cbook.safe_masked_invalid(A, copy=True)
+        if A.dtype != np.uint8 and not np.can_cast(A.dtype, float, "same_kind"):
+            raise TypeError(f"Image data of dtype {A.dtype} cannot be "
+                            f"converted to float")
+        if A.ndim == 3 and A.shape[-1] == 1:
+            A = A.squeeze(-1)  # If just (M, N, 1), assume scalar and apply colormap.
+        if not (A.ndim == 2 or A.ndim == 3 and A.shape[-1] in [3, 4]):
+            raise TypeError(f"Invalid shape {A.shape} for image data")
+        if A.ndim == 3:
+            # If the input data has values outside the valid range (after
+            # normalisation), we issue a warning and then clip X to the bounds
+            # - otherwise casting wraps extreme values, hiding outliers and
+            # making reliable interpretation impossible.
+            high = 255 if np.issubdtype(A.dtype, np.integer) else 1
+            if A.min() < 0 or high < A.max():
+                _log.warning(
+                    'Clipping input data to the valid range for imshow with '
+                    'RGB data ([0..1] for floats or [0..255] for integers). '
+                    'Got range [%s..%s].',
+                    A.min(), A.max()
+                )
+                A = np.clip(A, 0, high)
+            # Cast unsupported integer types to uint8
+            if A.dtype != np.uint8 and np.issubdtype(A.dtype, np.integer):
+                A = A.astype(np.uint8)
+        return A
 
-        if (self._A.dtype != np.uint8 and
-            not np.can_cast(self._A.dtype, np.float)):
-            raise TypeError("Image data can not convert to float")
+    def set_data(self, A):
+        """
+        Set the image array.
 
-        if (self._A.ndim not in (2, 3) or
-            (self._A.ndim == 3 and self._A.shape[-1] not in (3, 4))):
-            raise TypeError("Invalid dimensions for image data")
+        Note that this function does *not* update the normalization used.
 
+        Parameters
+        ----------
+        A : array-like or `PIL.Image.Image`
+        """
+        if isinstance(A, PIL.Image.Image):
+            A = pil_to_array(A)  # Needed e.g. to apply png palette.
+        self._A = self._normalize_image_array(A)
         self._imcache = None
-        self._rgbacache = None
-        self._oldxslice = None
-        self._oldyslice = None
+        self.stale = True
 
     def set_array(self, A):
         """
-        Retained for backwards compatibility - use set_data instead
+        Retained for backwards compatibility - use set_data instead.
 
-        ACCEPTS: numpy array A or PIL Image"""
+        Parameters
+        ----------
+        A : array-like
+        """
         # This also needs to be here to override the inherited
-        # cm.ScalarMappable.set_array method so it is not invoked
-        # by mistake.
-
+        # cm.ScalarMappable.set_array method so it is not invoked by mistake.
         self.set_data(A)
 
     def get_interpolation(self):
         """
         Return the interpolation method the image uses when resizing.
 
-        One of 'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36',
-        'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', 'catrom',
-        'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos', or 'none'.
-
+        One of 'auto', 'antialiased', 'nearest', 'bilinear', 'bicubic',
+        'spline16', 'spline36', 'hanning', 'hamming', 'hermite', 'kaiser',
+        'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos',
+        or 'none'.
         """
         return self._interpolation
 
@@ -467,982 +721,1110 @@ def set_interpolation(self, s):
         """
         Set the interpolation method the image uses when resizing.
 
-        if None, use a value from rc setting. If 'none', the image is
+        If None, use :rc:`image.interpolation`. If 'none', the image is
         shown as is without interpolating. 'none' is only supported in
         agg, ps and pdf backends and will fall back to 'nearest' mode
         for other backends.
 
-        ACCEPTS: ['nearest' | 'bilinear' | 'bicubic' | 'spline16' |
-          'spline36' | 'hanning' | 'hamming' | 'hermite' | 'kaiser' |
-          'quadric' | 'catrom' | 'gaussian' | 'bessel' | 'mitchell' |
-          'sinc' | 'lanczos' | 'none' |]
-
+        Parameters
+        ----------
+        s : {'auto', 'nearest', 'bilinear', 'bicubic', 'spline16', \
+'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', 'catrom', \
+'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos', 'none'} or None
         """
-        if s is None:
-            s = rcParams['image.interpolation']
-        s = s.lower()
-        if s not in self._interpd:
-            raise ValueError('Illegal interpolation string')
+        s = mpl._val_or_rc(s, 'image.interpolation').lower()
+        _api.check_in_list(interpolations_names, interpolation=s)
         self._interpolation = s
+        self.stale = True
+
+    def get_interpolation_stage(self):
+        """
+        Return when interpolation happens during the transform to RGBA.
+
+        One of 'data', 'rgba', 'auto'.
+        """
+        return self._interpolation_stage
+
+    def set_interpolation_stage(self, s):
+        """
+        Set when interpolation happens during the transform to RGBA.
+
+        Parameters
+        ----------
+        s : {'data', 'rgba', 'auto'}, default: :rc:`image.interpolation_stage`
+            Whether to apply resampling interpolation in data or RGBA space.
+            If 'auto', 'rgba' is used if the upsampling rate is less than 3,
+            otherwise 'data' is used.
+        """
+        s = mpl._val_or_rc(s, 'image.interpolation_stage')
+        _api.check_in_list(['data', 'rgba', 'auto'], s=s)
+        self._interpolation_stage = s
+        self.stale = True
+
+    def can_composite(self):
+        """Return whether the image can be composited with its neighbors."""
+        trans = self.get_transform()
+        return (
+            self._interpolation != 'none' and
+            trans.is_affine and
+            trans.is_separable)
 
     def set_resample(self, v):
         """
-        Set whether or not image resampling is used
+        Set whether image resampling is used.
 
-        ACCEPTS: True|False
+        Parameters
+        ----------
+        v : bool, default: :rc:`image.resample`
         """
-        if v is None:
-            v = rcParams['image.resample']
+        v = mpl._val_or_rc(v, 'image.resample')
         self._resample = v
+        self.stale = True
 
     def get_resample(self):
-        """Return the image resample boolean"""
+        """Return whether image resampling is used."""
         return self._resample
 
     def set_filternorm(self, filternorm):
         """
-        Set whether the resize filter norms the weights -- see
-        help for imshow
+        Set whether the resize filter normalizes the weights.
 
-        ACCEPTS: 0 or 1
+        See help for `~.Axes.imshow`.
+
+        Parameters
+        ----------
+        filternorm : bool
         """
-        if filternorm:
-            self._filternorm = 1
-        else:
-            self._filternorm = 0
+        self._filternorm = bool(filternorm)
+        self.stale = True
 
     def get_filternorm(self):
-        """Return the filternorm setting"""
+        """Return whether the resize filter normalizes the weights."""
         return self._filternorm
 
     def set_filterrad(self, filterrad):
         """
-        Set the resize filter radius only applicable to some
-        interpolation schemes -- see help for imshow
+        Set the resize filter radius (only applicable to some
+        interpolation schemes).
+
+        See help for `~.Axes.imshow`.
 
-        ACCEPTS: positive float
+        Parameters
+        ----------
+        filterrad : positive float
         """
         r = float(filterrad)
-        assert(r > 0)
+        if r <= 0:
+            raise ValueError("The filter radius must be a positive number")
         self._filterrad = r
+        self.stale = True
 
     def get_filterrad(self):
-        """return the filterrad setting"""
+        """Return the filterrad setting."""
         return self._filterrad
 
 
-class AxesImage(_AxesImageBase):
-    def __str__(self):
-        return "AxesImage(%g,%g;%gx%g)" % tuple(self.axes.bbox.bounds)
+class AxesImage(_ImageBase):
+    """
+    An image with pixels on a regular grid, attached to an Axes.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The Axes the image will belong to.
+    cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+        The Colormap instance or registered colormap name used to map scalar
+        data to colors.
+    norm : str or `~matplotlib.colors.Normalize`
+        Maps luminance to 0-1.
+    interpolation : str, default: :rc:`image.interpolation`
+        Supported values are 'none', 'auto', 'nearest', 'bilinear',
+        'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',
+        'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',
+        'sinc', 'lanczos', 'blackman'.
+    interpolation_stage : {'data', 'rgba'}, default: 'data'
+        If 'data', interpolation
+        is carried out on the data provided by the user.  If 'rgba', the
+        interpolation is carried out after the colormapping has been
+        applied (visual interpolation).
+    origin : {'upper', 'lower'}, default: :rc:`image.origin`
+        Place the [0, 0] index of the array in the upper left or lower left
+        corner of the Axes. The convention 'upper' is typically used for
+        matrices and images.
+    extent : tuple, optional
+        The data axes (left, right, bottom, top) for making image plots
+        registered with data plots.  Default is to label the pixel
+        centers with the zero-based row and column indices.
+    filternorm : bool, default: True
+        A parameter for the antigrain image resize filter
+        (see the antigrain documentation).
+        If filternorm is set, the filter normalizes integer values and corrects
+        the rounding errors. It doesn't do anything with the source floating
+        point values, it corrects only integers according to the rule of 1.0
+        which means that any sum of pixel weights must be equal to 1.0. So,
+        the filter function must produce a graph of the proper shape.
+    filterrad : float > 0, default: 4
+        The filter radius for filters that have a radius parameter, i.e. when
+        interpolation is one of: 'sinc', 'lanczos' or 'blackman'.
+    resample : bool, default: False
+        When True, use a full resampling method. When False, only resample when
+        the output image is larger than the input image.
+    **kwargs : `~matplotlib.artist.Artist` properties
+    """
 
     def __init__(self, ax,
+                 *,
                  cmap=None,
                  norm=None,
+                 colorizer=None,
                  interpolation=None,
                  origin=None,
                  extent=None,
-                 filternorm=1,
+                 filternorm=True,
                  filterrad=4.0,
                  resample=False,
+                 interpolation_stage=None,
                  **kwargs
                  ):
 
-        """
-        interpolation and cmap default to their rc settings
-
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        extent is data axes (left, right, bottom, top) for making image plots
-        registered with data plots.  Default is to label the pixel
-        centers with the zero-based row and column indices.
-
-        Additional kwargs are matplotlib.artist properties
-
-        """
-
         self._extent = extent
 
-        _AxesImageBase.__init__(self, ax,
-                                cmap=cmap,
-                                norm=norm,
-                                interpolation=interpolation,
-                                origin=origin,
-                                filternorm=filternorm,
-                                filterrad=filterrad,
-                                resample=resample,
-                                **kwargs
-                                )
-
-    def make_image(self, magnification=1.0):
-        if self._A is None:
-            raise RuntimeError('You must first set the image'
-                               ' array or the image attribute')
+        super().__init__(
+            ax,
+            cmap=cmap,
+            norm=norm,
+            colorizer=colorizer,
+            interpolation=interpolation,
+            origin=origin,
+            filternorm=filternorm,
+            filterrad=filterrad,
+            resample=resample,
+            interpolation_stage=interpolation_stage,
+            **kwargs
+        )
+
+    def get_window_extent(self, renderer=None):
+        x0, x1, y0, y1 = self._extent
+        bbox = Bbox.from_extents([x0, y0, x1, y1])
+        return bbox.transformed(self.get_transform())
 
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
+        # docstring inherited
+        trans = self.get_transform()
         # image is created in the canvas coordinate.
         x1, x2, y1, y2 = self.get_extent()
-        trans = self.get_transform()
-        xy = trans.transform(np.array([(x1, y1),
-                                       (x2, y2),
-                                       ]))
-        _x1, _y1 = xy[0]
-        _x2, _y2 = xy[1]
-
-        transformed_viewLim = mtransforms.TransformedBbox(self.axes.viewLim,
-                                                          trans)
-
-        im, xmin, ymin, dxintv, dyintv, sx, sy = \
-            self._get_unsampled_image(self._A, [_x1, _x2, _y1, _y2],
-                                      transformed_viewLim)
-
-        fc = self.axes.patch.get_facecolor()
-        bg = mcolors.colorConverter.to_rgba(fc, 0)
-        im.set_bg(*bg)
-
-        # image input dimensions
-        im.reset_matrix()
-        numrows, numcols = im.get_size()
-        if numrows < 1 or numcols < 1:   # out of range
-            return None
-        im.set_interpolation(self._interpd[self._interpolation])
-
-        im.set_resample(self._resample)
-
-        # the viewport translation
-        if dxintv == 0.0:
-            tx = 0.0
-        else:
-            tx = (xmin-transformed_viewLim.x0)/dxintv * numcols
-        if dyintv == 0.0:
-            ty = 0.0
-        else:
-            ty = (ymin-transformed_viewLim.y0)/dyintv * numrows
-
-        im.apply_translation(tx, ty)
-
-        l, b, r, t = self.axes.bbox.extents
-        widthDisplay = ((round(r*magnification) + 0.5) -
-                        (round(l*magnification) - 0.5))
-        heightDisplay = ((round(t*magnification) + 0.5) -
-                         (round(b*magnification) - 0.5))
-
-        # resize viewport to display
-        rx = widthDisplay / numcols
-        ry = heightDisplay / numrows
-        im.apply_scaling(rx*sx, ry*sy)
-        im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
-                  norm=self._filternorm, radius=self._filterrad)
-        return im
-
-    def _check_unsampled_image(self, renderer):
+        bbox = Bbox(np.array([[x1, y1], [x2, y2]]))
+        transformed_bbox = TransformedBbox(bbox, trans)
+        clip = ((self.get_clip_box() or self.axes.bbox) if self.get_clip_on()
+                else self.get_figure(root=True).bbox)
+        return self._make_image(self._A, bbox, transformed_bbox, clip,
+                                magnification, unsampled=unsampled)
+
+    def _check_unsampled_image(self):
+        """Return whether the image would be better drawn unsampled."""
+        return self.get_interpolation() == "none"
+
+    def set_extent(self, extent, **kwargs):
         """
-        return True if the image is better to be drawn unsampled.
+        Set the image extent.
+
+        Parameters
+        ----------
+        extent : 4-tuple of float
+            The position and size of the image as tuple
+            ``(left, right, bottom, top)`` in data coordinates.
+        **kwargs
+            Other parameters from which unit info (i.e., the *xunits*,
+            *yunits*, *zunits* (for 3D Axes), *runits* and *thetaunits* (for
+            polar Axes) entries are applied, if present.
+
+        Notes
+        -----
+        This updates `.Axes.dataLim`, and, if autoscaling, sets `.Axes.viewLim`
+        to tightly fit the image, regardless of `~.Axes.dataLim`.  Autoscaling
+        state is not changed, so a subsequent call to `.Axes.autoscale_view`
+        will redo the autoscaling in accord with `~.Axes.dataLim`.
         """
-        if self.get_interpolation() == "none":
-            if renderer.option_scale_image():
-                return True
-            else:
-                warnings.warn("The backend (%s) does not support "
-                              "interpolation='none'. The image will be "
-                              "interpolated with 'nearest` "
-                              "mode." % renderer.__class__)
-
-        return False
-
-    def set_extent(self, extent):
-        """
-        extent is data axes (left, right, bottom, top) for making image plots
+        (xmin, xmax), (ymin, ymax) = self.axes._process_unit_info(
+            [("x", [extent[0], extent[1]]),
+             ("y", [extent[2], extent[3]])],
+            kwargs)
+        if kwargs:
+            raise _api.kwarg_error("set_extent", kwargs)
+        xmin = self.axes._validate_converted_limits(
+            xmin, self.convert_xunits)
+        xmax = self.axes._validate_converted_limits(
+            xmax, self.convert_xunits)
+        ymin = self.axes._validate_converted_limits(
+            ymin, self.convert_yunits)
+        ymax = self.axes._validate_converted_limits(
+            ymax, self.convert_yunits)
+        extent = [xmin, xmax, ymin, ymax]
 
-        This updates ax.dataLim, and, if autoscaling, sets viewLim
-        to tightly fit the image, regardless of dataLim.  Autoscaling
-        state is not changed, so following this with ax.autoscale_view
-        will redo the autoscaling in accord with dataLim.
-
-        """
         self._extent = extent
-
-        xmin, xmax, ymin, ymax = extent
         corners = (xmin, ymin), (xmax, ymax)
         self.axes.update_datalim(corners)
-        if self.axes._autoscaleXon:
+        self.sticky_edges.x[:] = [xmin, xmax]
+        self.sticky_edges.y[:] = [ymin, ymax]
+        if self.axes.get_autoscalex_on():
             self.axes.set_xlim((xmin, xmax), auto=None)
-        if self.axes._autoscaleYon:
+        if self.axes.get_autoscaley_on():
             self.axes.set_ylim((ymin, ymax), auto=None)
+        self.stale = True
 
     def get_extent(self):
-        """Get the image extent: left, right, bottom, top"""
+        """Return the image extent as tuple (left, right, bottom, top)."""
         if self._extent is not None:
             return self._extent
         else:
             sz = self.get_size()
-            #print 'sz', sz
             numrows, numcols = sz
             if self.origin == 'upper':
                 return (-0.5, numcols-0.5, numrows-0.5, -0.5)
             else:
                 return (-0.5, numcols-0.5, -0.5, numrows-0.5)
 
-
-class NonUniformImage(AxesImage):
-    def __init__(self, ax, **kwargs):
+    def get_cursor_data(self, event):
         """
-        kwargs are identical to those for AxesImage, except
-        that 'interpolation' defaults to 'nearest', and 'bilinear'
-        is the only alternative.
+        Return the image value at the event position or *None* if the event is
+        outside the image.
+
+        See Also
+        --------
+        matplotlib.artist.Artist.get_cursor_data
         """
-        interp = kwargs.pop('interpolation', 'nearest')
-        AxesImage.__init__(self, ax,
-                           **kwargs)
-        self.set_interpolation(interp)
+        xmin, xmax, ymin, ymax = self.get_extent()
+        if self.origin == 'upper':
+            ymin, ymax = ymax, ymin
+        arr = self.get_array()
+        data_extent = Bbox([[xmin, ymin], [xmax, ymax]])
+        array_extent = Bbox([[0, 0], [arr.shape[1], arr.shape[0]]])
+        trans = self.get_transform().inverted()
+        trans += BboxTransform(boxin=data_extent, boxout=array_extent)
+        point = trans.transform([event.x, event.y])
+        if any(np.isnan(point)):
+            return None
+        j, i = point.astype(int)
+        # Clip the coordinates at array bounds
+        if not (0 <= i < arr.shape[0]) or not (0 <= j < arr.shape[1]):
+            return None
+        else:
+            return arr[i, j]
+
+
+class NonUniformImage(AxesImage):
+    """
+    An image with pixels on a rectilinear grid.
 
-    def _check_unsampled_image(self, renderer):
+    In contrast to `.AxesImage`, where pixels are on a regular grid,
+    NonUniformImage allows rows and columns with individual heights / widths.
+
+    See also :doc:`/gallery/images_contours_and_fields/image_nonuniform`.
+    """
+
+    def __init__(self, ax, *, interpolation='nearest', **kwargs):
         """
-        return False. Do not use unsampled image.
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The Axes the image will belong to.
+        interpolation : {'nearest', 'bilinear'}, default: 'nearest'
+            The interpolation scheme used in the resampling.
+        **kwargs
+            All other keyword arguments are identical to those of `.AxesImage`.
         """
+        super().__init__(ax, **kwargs)
+        self.set_interpolation(interpolation)
+
+    def _check_unsampled_image(self):
+        """Return False. Do not use unsampled image."""
         return False
 
-    def make_image(self, magnification=1.0):
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
+        # docstring inherited
         if self._A is None:
             raise RuntimeError('You must first set the image array')
-
+        if unsampled:
+            raise ValueError('unsampled not supported on NonUniformImage')
         A = self._A
-        if len(A.shape) == 2:
+        if A.ndim == 2:
             if A.dtype != np.uint8:
                 A = self.to_rgba(A, bytes=True)
-                self.is_grayscale = self.cmap.is_gray()
             else:
                 A = np.repeat(A[:, :, np.newaxis], 4, 2)
                 A[:, :, 3] = 255
-                self.is_grayscale = True
         else:
             if A.dtype != np.uint8:
                 A = (255*A).astype(np.uint8)
             if A.shape[2] == 3:
-                B = np.zeros(tuple(list(A.shape[0:2]) + [4]), np.uint8)
+                B = np.zeros(tuple([*A.shape[0:2], 4]), np.uint8)
                 B[:, :, 0:3] = A
                 B[:, :, 3] = 255
                 A = B
-            self.is_grayscale = False
-
-        x0, y0, v_width, v_height = self.axes.viewLim.bounds
         l, b, r, t = self.axes.bbox.extents
-        width = (round(r) + 0.5) - (round(l) - 0.5)
-        height = (round(t) + 0.5) - (round(b) - 0.5)
-        width *= magnification
-        height *= magnification
-        im = _image.pcolor(self._Ax, self._Ay, A,
-                           int(height), int(width),
-                           (x0, x0+v_width, y0, y0+v_height),
-                           self._interpd[self._interpolation])
-
-        fc = self.axes.patch.get_facecolor()
-        bg = mcolors.colorConverter.to_rgba(fc, 0)
-        im.set_bg(*bg)
-        im.is_grayscale = self.is_grayscale
-        return im
+        width = int(((round(r) + 0.5) - (round(l) - 0.5)) * magnification)
+        height = int(((round(t) + 0.5) - (round(b) - 0.5)) * magnification)
+
+        invertedTransform = self.axes.transData.inverted()
+        x_pix = invertedTransform.transform(
+            [(x, b) for x in np.linspace(l, r, width)])[:, 0]
+        y_pix = invertedTransform.transform(
+            [(l, y) for y in np.linspace(b, t, height)])[:, 1]
+
+        if self._interpolation == "nearest":
+            x_mid = (self._Ax[:-1] + self._Ax[1:]) / 2
+            y_mid = (self._Ay[:-1] + self._Ay[1:]) / 2
+            x_int = x_mid.searchsorted(x_pix)
+            y_int = y_mid.searchsorted(y_pix)
+            # The following is equal to `A[y_int[:, None], x_int[None, :]]`,
+            # but many times faster.  Both casting to uint32 (to have an
+            # effectively 1D array) and manual index flattening matter.
+            im = (
+                np.ascontiguousarray(A).view(np.uint32).ravel()[
+                    np.add.outer(y_int * A.shape[1], x_int)]
+                .view(np.uint8).reshape((height, width, 4)))
+        else:  # self._interpolation == "bilinear"
+            # Use np.interp to compute x_int/x_float has similar speed.
+            x_int = np.clip(
+                self._Ax.searchsorted(x_pix) - 1, 0, len(self._Ax) - 2)
+            y_int = np.clip(
+                self._Ay.searchsorted(y_pix) - 1, 0, len(self._Ay) - 2)
+            idx_int = np.add.outer(y_int * A.shape[1], x_int)
+            x_frac = np.clip(
+                np.divide(x_pix - self._Ax[x_int], np.diff(self._Ax)[x_int],
+                          dtype=np.float32),  # Downcasting helps with speed.
+                0, 1)
+            y_frac = np.clip(
+                np.divide(y_pix - self._Ay[y_int], np.diff(self._Ay)[y_int],
+                          dtype=np.float32),
+                0, 1)
+            f00 = np.outer(1 - y_frac, 1 - x_frac)
+            f10 = np.outer(y_frac, 1 - x_frac)
+            f01 = np.outer(1 - y_frac, x_frac)
+            f11 = np.outer(y_frac, x_frac)
+            im = np.empty((height, width, 4), np.uint8)
+            for chan in range(4):
+                ac = A[:, :, chan].reshape(-1)  # reshape(-1) avoids a copy.
+                # Shifting the buffer start (`ac[offset:]`) avoids an array
+                # addition (`ac[idx_int + offset]`).
+                buf = f00 * ac[idx_int]
+                buf += f10 * ac[A.shape[1]:][idx_int]
+                buf += f01 * ac[1:][idx_int]
+                buf += f11 * ac[A.shape[1] + 1:][idx_int]
+                im[:, :, chan] = buf  # Implicitly casts to uint8.
+        return im, l, b, IdentityTransform()
 
     def set_data(self, x, y, A):
         """
         Set the grid for the pixel centers, and the pixel values.
 
-          *x* and *y* are 1-D ndarrays of lengths N and M, respectively,
-             specifying pixel centers
-
-          *A* is an (M,N) ndarray or masked array of values to be
-            colormapped, or a (M,N,3) RGB array, or a (M,N,4) RGBA
-            array.
+        Parameters
+        ----------
+        x, y : 1D array-like
+            Monotonic arrays of shapes (N,) and (M,), respectively, specifying
+            pixel centers.
+        A : array-like
+            (M, N) `~numpy.ndarray` or masked array of values to be
+            colormapped, or (M, N, 3) RGB array, or (M, N, 4) RGBA array.
         """
-        x = np.asarray(x, np.float32)
-        y = np.asarray(y, np.float32)
-        A = cbook.safe_masked_invalid(A)
-        if len(x.shape) != 1 or len(y.shape) != 1\
-           or A.shape[0:2] != (y.shape[0], x.shape[0]):
+        A = self._normalize_image_array(A)
+        x = np.array(x, np.float32)
+        y = np.array(y, np.float32)
+        if not (x.ndim == y.ndim == 1 and A.shape[:2] == y.shape + x.shape):
             raise TypeError("Axes don't match array shape")
-        if len(A.shape) not in [2, 3]:
-            raise TypeError("Can only plot 2D or 3D data")
-        if len(A.shape) == 3 and A.shape[2] not in [1, 3, 4]:
-            raise TypeError("3D arrays must have three (RGB) "
-                            "or four (RGBA) color components")
-        if len(A.shape) == 3 and A.shape[2] == 1:
-            A.shape = A.shape[0:2]
         self._A = A
         self._Ax = x
         self._Ay = y
         self._imcache = None
-
-        # I am adding this in accor with _AxesImageBase.set_data --
-        # examples/pylab_examples/image_nonuniform.py was breaking on
-        # the call to _get_unsampled_image when the oldxslice attr was
-        # accessed - JDH 3/3/2010
-        self._oldxslice = None
-        self._oldyslice = None
+        self.stale = True
 
     def set_array(self, *args):
         raise NotImplementedError('Method not supported')
 
     def set_interpolation(self, s):
+        """
+        Parameters
+        ----------
+        s : {'nearest', 'bilinear'} or None
+            If None, use :rc:`image.interpolation`.
+        """
         if s is not None and s not in ('nearest', 'bilinear'):
             raise NotImplementedError('Only nearest neighbor and '
                                       'bilinear interpolations are supported')
-        AxesImage.set_interpolation(self, s)
+        super().set_interpolation(s)
 
     def get_extent(self):
         if self._A is None:
             raise RuntimeError('Must set data first')
         return self._Ax[0], self._Ax[-1], self._Ay[0], self._Ay[-1]
 
-    def set_filternorm(self, s):
+    def set_filternorm(self, filternorm):
         pass
 
-    def set_filterrad(self, s):
+    def set_filterrad(self, filterrad):
         pass
 
     def set_norm(self, norm):
         if self._A is not None:
             raise RuntimeError('Cannot change colors after loading data')
-        cm.ScalarMappable.set_norm(self, norm)
+        super().set_norm(norm)
 
     def set_cmap(self, cmap):
         if self._A is not None:
             raise RuntimeError('Cannot change colors after loading data')
-        cm.ScalarMappable.set_cmap(self, cmap)
+        super().set_cmap(cmap)
 
+    def get_cursor_data(self, event):
+        # docstring inherited
+        x, y = event.xdata, event.ydata
+        if (x < self._Ax[0] or x > self._Ax[-1] or
+                y < self._Ay[0] or y > self._Ay[-1]):
+            return None
+        j = np.searchsorted(self._Ax, x) - 1
+        i = np.searchsorted(self._Ay, y) - 1
+        return self._A[i, j]
 
-class PcolorImage(martist.Artist, cm.ScalarMappable):
+
+class PcolorImage(AxesImage):
     """
     Make a pcolor-style plot with an irregular rectangular grid.
 
     This uses a variation of the original irregular image code,
     and it is used by pcolorfast for the corresponding grid type.
     """
+
     def __init__(self, ax,
                  x=None,
                  y=None,
                  A=None,
+                 *,
                  cmap=None,
                  norm=None,
+                 colorizer=None,
                  **kwargs
                  ):
         """
-        cmap defaults to its rc setting
-
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        Additional kwargs are matplotlib.artist properties
-
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The Axes the image will belong to.
+        x, y : 1D array-like, optional
+            Monotonic arrays of length N+1 and M+1, respectively, specifying
+            rectangle boundaries.  If not given, will default to
+            ``range(N + 1)`` and ``range(M + 1)``, respectively.
+        A : array-like
+            The data to be color-coded. The interpretation depends on the
+            shape:
+
+            - (M, N) `~numpy.ndarray` or masked array: values to be colormapped
+            - (M, N, 3): RGB array
+            - (M, N, 4): RGBA array
+
+        cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+            The Colormap instance or registered colormap name used to map
+            scalar data to colors.
+        norm : str or `~matplotlib.colors.Normalize`
+            Maps luminance to 0-1.
+        **kwargs : `~matplotlib.artist.Artist` properties
         """
-        martist.Artist.__init__(self)
-        cm.ScalarMappable.__init__(self, norm, cmap)
-        self.axes = ax
-        self._rgbacache = None
-        # There is little point in caching the image itself because
-        # it needs to be remade if the bbox or viewlim change,
-        # so caching does help with zoom/pan/resize.
-        self.update(kwargs)
-        self.set_data(x, y, A)
-
-    def make_image(self, magnification=1.0):
+        super().__init__(ax, norm=norm, cmap=cmap, colorizer=colorizer)
+        self._internal_update(kwargs)
+        if A is not None:
+            self.set_data(x, y, A)
+
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
+        # docstring inherited
         if self._A is None:
             raise RuntimeError('You must first set the image array')
-        fc = self.axes.patch.get_facecolor()
-        bg = mcolors.colorConverter.to_rgba(fc, 0)
-        bg = (np.array(bg)*255).astype(np.uint8)
+        if unsampled:
+            raise ValueError('unsampled not supported on PColorImage')
+
+        if self._imcache is None:
+            A = self.to_rgba(self._A, bytes=True)
+            self._imcache = np.pad(A, [(1, 1), (1, 1), (0, 0)], "constant")
+        padded_A = self._imcache
+        bg = mcolors.to_rgba(self.axes.patch.get_facecolor(), 0)
+        bg = (np.array(bg) * 255).astype(np.uint8)
+        if (padded_A[0, 0] != bg).all():
+            padded_A[[0, -1], :] = padded_A[:, [0, -1]] = bg
+
         l, b, r, t = self.axes.bbox.extents
         width = (round(r) + 0.5) - (round(l) - 0.5)
         height = (round(t) + 0.5) - (round(b) - 0.5)
-        width = width * magnification
-        height = height * magnification
-        if self._rgbacache is None:
-            A = self.to_rgba(self._A, bytes=True)
-            self._rgbacache = A
-            if self._A.ndim == 2:
-                self.is_grayscale = self.cmap.is_gray()
-        else:
-            A = self._rgbacache
+        width = round(width * magnification)
+        height = round(height * magnification)
         vl = self.axes.viewLim
-        im = _image.pcolor2(self._Ax, self._Ay, A,
-                            height,
-                            width,
-                            (vl.x0, vl.x1, vl.y0, vl.y1),
-                            bg)
-        im.is_grayscale = self.is_grayscale
-        return im
 
-    def changed(self):
-        self._rgbacache = None
-        cm.ScalarMappable.changed(self)
-
-    @allow_rasterization
-    def draw(self, renderer, *args, **kwargs):
-        if not self.get_visible():
-            return
-        im = self.make_image(renderer.get_image_magnification())
-        gc = renderer.new_gc()
-        gc.set_clip_rectangle(self.axes.bbox.frozen())
-        gc.set_clip_path(self.get_clip_path())
-        gc.set_alpha(self.get_alpha())
-        renderer.draw_image(gc,
-                            round(self.axes.bbox.xmin),
-                            round(self.axes.bbox.ymin),
-                            im)
-        gc.restore()
+        x_pix = np.linspace(vl.x0, vl.x1, width)
+        y_pix = np.linspace(vl.y0, vl.y1, height)
+        x_int = self._Ax.searchsorted(x_pix)
+        y_int = self._Ay.searchsorted(y_pix)
+        im = (  # See comment in NonUniformImage.make_image re: performance.
+            padded_A.view(np.uint32).ravel()[
+                np.add.outer(y_int * padded_A.shape[1], x_int)]
+            .view(np.uint8).reshape((height, width, 4)))
+        return im, l, b, IdentityTransform()
+
+    def _check_unsampled_image(self):
+        return False
 
     def set_data(self, x, y, A):
-        A = cbook.safe_masked_invalid(A)
-        if x is None:
-            x = np.arange(0, A.shape[1]+1, dtype=np.float64)
-        else:
-            x = np.asarray(x, np.float64).ravel()
-        if y is None:
-            y = np.arange(0, A.shape[0]+1, dtype=np.float64)
-        else:
-            y = np.asarray(y, np.float64).ravel()
-
-        if A.shape[:2] != (y.size-1, x.size-1):
-            print(A.shape)
-            print(y.size)
-            print(x.size)
-            raise ValueError("Axes don't match array shape")
-        if A.ndim not in [2, 3]:
-            raise ValueError("A must be 2D or 3D")
-        if A.ndim == 3 and A.shape[2] == 1:
-            A.shape = A.shape[:2]
-        self.is_grayscale = False
-        if A.ndim == 3:
-            if A.shape[2] in [3, 4]:
-                if ((A[:, :, 0] == A[:, :, 1]).all() and
-                    (A[:, :, 0] == A[:, :, 2]).all()):
-                    self.is_grayscale = True
-            else:
-                raise ValueError("3D arrays must have RGB or RGBA as last dim")
+        """
+        Set the grid for the rectangle boundaries, and the data values.
+
+        Parameters
+        ----------
+        x, y : 1D array-like, optional
+            Monotonic arrays of length N+1 and M+1, respectively, specifying
+            rectangle boundaries.  If not given, will default to
+            ``range(N + 1)`` and ``range(M + 1)``, respectively.
+        A : array-like
+            The data to be color-coded. The interpretation depends on the
+            shape:
+
+            - (M, N) `~numpy.ndarray` or masked array: values to be colormapped
+            - (M, N, 3): RGB array
+            - (M, N, 4): RGBA array
+        """
+        A = self._normalize_image_array(A)
+        x = np.arange(0., A.shape[1] + 1) if x is None else np.array(x, float).ravel()
+        y = np.arange(0., A.shape[0] + 1) if y is None else np.array(y, float).ravel()
+        if A.shape[:2] != (y.size - 1, x.size - 1):
+            raise ValueError(
+                "Axes don't match array shape. Got %s, expected %s." %
+                (A.shape[:2], (y.size - 1, x.size - 1)))
+        # For efficient cursor readout, ensure x and y are increasing.
+        if x[-1] < x[0]:
+            x = x[::-1]
+            A = A[:, ::-1]
+        if y[-1] < y[0]:
+            y = y[::-1]
+            A = A[::-1]
         self._A = A
         self._Ax = x
         self._Ay = y
-        self._rgbacache = None
+        self._imcache = None
+        self.stale = True
 
     def set_array(self, *args):
         raise NotImplementedError('Method not supported')
 
-    def set_alpha(self, alpha):
-        """
-        Set the alpha value used for blending - not supported on
-        all backends
+    def get_cursor_data(self, event):
+        # docstring inherited
+        x, y = event.xdata, event.ydata
+        if (x < self._Ax[0] or x > self._Ax[-1] or
+                y < self._Ay[0] or y > self._Ay[-1]):
+            return None
+        j = np.searchsorted(self._Ax, x) - 1
+        i = np.searchsorted(self._Ay, y) - 1
+        return self._A[i, j]
 
-        ACCEPTS: float
-        """
-        martist.Artist.set_alpha(self, alpha)
-        self.update_dict['array'] = True
 
+class FigureImage(_ImageBase):
+    """An image attached to a figure."""
 
-class FigureImage(martist.Artist, cm.ScalarMappable):
     zorder = 0
 
+    _interpolation = 'nearest'
+
     def __init__(self, fig,
+                 *,
                  cmap=None,
                  norm=None,
+                 colorizer=None,
                  offsetx=0,
                  offsety=0,
                  origin=None,
                  **kwargs
                  ):
-
         """
         cmap is a colors.Colormap instance
         norm is a colors.Normalize instance to map luminance to 0-1
 
         kwargs are an optional list of Artist keyword args
         """
-        martist.Artist.__init__(self)
-        cm.ScalarMappable.__init__(self, norm, cmap)
-        if origin is None:
-            origin = rcParams['image.origin']
-        self.origin = origin
-        self.figure = fig
+        super().__init__(
+            None,
+            norm=norm,
+            cmap=cmap,
+            colorizer=colorizer,
+            origin=origin
+        )
+        self.set_figure(fig)
         self.ox = offsetx
         self.oy = offsety
-        self.update(kwargs)
+        self._internal_update(kwargs)
         self.magnification = 1.0
 
-    def contains(self, mouseevent):
-        """Test whether the mouse event occured within the image."""
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-        xmin, xmax, ymin, ymax = self.get_extent()
-        xdata, ydata = mouseevent.x, mouseevent.y
-        #print xdata, ydata, xmin, xmax, ymin, ymax
-        if xdata is not None and ydata is not None:
-            inside = ((xdata >= xmin) and (xdata <= xmax) and
-                      (ydata >= ymin) and (ydata <= ymax))
-        else:
-            inside = False
-
-        return inside, {}
-
-    def get_size(self):
-        """Get the numrows, numcols of the input image"""
-        if self._A is None:
-            raise RuntimeError('You must first set the image array')
-
-        return self._A.shape[:2]
-
     def get_extent(self):
-        """Get the image extent: left, right, bottom, top"""
+        """Return the image extent as tuple (left, right, bottom, top)."""
         numrows, numcols = self.get_size()
-        return (-0.5+self.ox, numcols-0.5+self.ox,
-                -0.5+self.oy, numrows-0.5+self.oy)
+        return (-0.5 + self.ox, numcols-0.5 + self.ox,
+                -0.5 + self.oy, numrows-0.5 + self.oy)
+
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
+        # docstring inherited
+        fig = self.get_figure(root=True)
+        fac = renderer.dpi/fig.dpi
+        # fac here is to account for pdf, eps, svg backends where
+        # figure.dpi is set to 72.  This means we need to scale the
+        # image (using magnification) and offset it appropriately.
+        bbox = Bbox([[self.ox/fac, self.oy/fac],
+                     [(self.ox/fac + self._A.shape[1]),
+                     (self.oy/fac + self._A.shape[0])]])
+        width, height = fig.get_size_inches()
+        width *= renderer.dpi
+        height *= renderer.dpi
+        clip = Bbox([[0, 0], [width, height]])
+        return self._make_image(
+            self._A, bbox, bbox, clip, magnification=magnification / fac,
+            unsampled=unsampled, round_to_pixel_border=False)
 
     def set_data(self, A):
         """Set the image array."""
-        cm.ScalarMappable.set_array(self, cbook.safe_masked_invalid(A))
-
-    def set_array(self, A):
-        """Deprecated; use set_data for consistency with other image types."""
-        self.set_data(A)
-
-    def make_image(self, magnification=1.0):
-        if self._A is None:
-            raise RuntimeError('You must first set the image array')
-
-        A = self._A
-        if self.origin == 'upper':
-            A = A[::-1]
+        super().set_data(A)
+        self.stale = True
 
-        x = self.to_rgba(A, bytes=True)
-        self.magnification = magnification
-        # if magnification is not one, we need to resize
-        ismag = magnification != 1
-        #if ismag: raise RuntimeError
-        if ismag:
-            isoutput = 0
-        else:
-            isoutput = 1
-        im = _image.frombyte(x, isoutput)
-        fc = self.figure.get_facecolor()
-        im.set_bg(*mcolors.colorConverter.to_rgba(fc, 0))
-        im.is_grayscale = (self.cmap.name == "gray" and
-                           len(A.shape) == 2)
-
-        if ismag:
-            numrows, numcols = self.get_size()
-            numrows *= magnification
-            numcols *= magnification
-            im.set_interpolation(_image.NEAREST)
-            im.resize(numcols, numrows)
-
-        return im
-
-    @allow_rasterization
-    def draw(self, renderer, *args, **kwargs):
-        if not self.get_visible():
-            return
-        # todo: we should be able to do some cacheing here
-        im = self.make_image(renderer.get_image_magnification())
-        gc = renderer.new_gc()
-        gc.set_clip_rectangle(self.figure.bbox)
-        gc.set_clip_path(self.get_clip_path())
-        gc.set_alpha(self.get_alpha())
-        renderer.draw_image(gc, round(self.ox), round(self.oy), im)
-        gc.restore()
-
-    def write_png(self, fname):
-        """Write the image to png file with fname"""
-        im = self.make_image()
-        _png.write_png(im, fname)
 
+class BboxImage(_ImageBase):
+    """
+    The Image class whose size is determined by the given bbox.
+
+    Parameters
+    ----------
+    bbox : BboxBase or Callable[RendererBase, BboxBase]
+        The bbox or a function to generate the bbox
+
+        .. warning ::
+
+            If using `matplotlib.artist.Artist.get_window_extent` as the
+            callable ensure that the other artist is drawn first (lower zorder)
+            or you may need to renderer the figure twice to ensure that the
+            computed bbox is accurate.
+
+    cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+        The Colormap instance or registered colormap name used to map scalar
+        data to colors.
+    norm : str or `~matplotlib.colors.Normalize`
+        Maps luminance to 0-1.
+    interpolation : str, default: :rc:`image.interpolation`
+        Supported values are 'none', 'auto', 'nearest', 'bilinear',
+        'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',
+        'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',
+        'sinc', 'lanczos', 'blackman'.
+    origin : {'upper', 'lower'}, default: :rc:`image.origin`
+        Place the [0, 0] index of the array in the upper left or lower left
+        corner of the Axes. The convention 'upper' is typically used for
+        matrices and images.
+    filternorm : bool, default: True
+        A parameter for the antigrain image resize filter
+        (see the antigrain documentation).
+        If filternorm is set, the filter normalizes integer values and corrects
+        the rounding errors. It doesn't do anything with the source floating
+        point values, it corrects only integers according to the rule of 1.0
+        which means that any sum of pixel weights must be equal to 1.0. So,
+        the filter function must produce a graph of the proper shape.
+    filterrad : float > 0, default: 4
+        The filter radius for filters that have a radius parameter, i.e. when
+        interpolation is one of: 'sinc', 'lanczos' or 'blackman'.
+    resample : bool, default: False
+        When True, use a full resampling method. When False, only resample when
+        the output image is larger than the input image.
+    **kwargs : `~matplotlib.artist.Artist` properties
 
-class BboxImage(_AxesImageBase):
-    """The Image class whose size is determined by the given bbox."""
+    """
     def __init__(self, bbox,
+                 *,
                  cmap=None,
                  norm=None,
+                 colorizer=None,
                  interpolation=None,
                  origin=None,
-                 filternorm=1,
+                 filternorm=True,
                  filterrad=4.0,
                  resample=False,
-                 interp_at_native=True,
                  **kwargs
                  ):
 
-        """
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        interp_at_native is a flag that determines whether or not
-        interpolation should still be applied when the image is
-        displayed at its native resolution.  A common use case for this
-        is when displaying an image for annotational purposes; it is
-        treated similarly to Photoshop (interpolation is only used when
-        displaying the image at non-native resolutions).
-
-
-        kwargs are an optional list of Artist keyword args
-
-        """
-        _AxesImageBase.__init__(self, ax=None,
-                                cmap=cmap,
-                                norm=norm,
-                                interpolation=interpolation,
-                                origin=origin,
-                                filternorm=filternorm,
-                                filterrad=filterrad,
-                                resample=resample,
-                                **kwargs
-                                )
-
+        super().__init__(
+            None,
+            cmap=cmap,
+            norm=norm,
+            colorizer=colorizer,
+            interpolation=interpolation,
+            origin=origin,
+            filternorm=filternorm,
+            filterrad=filterrad,
+            resample=resample,
+            **kwargs
+        )
         self.bbox = bbox
-        self.interp_at_native = interp_at_native
 
     def get_window_extent(self, renderer=None):
-        if renderer is None:
-            renderer = self.get_figure()._cachedRenderer
-
         if isinstance(self.bbox, BboxBase):
             return self.bbox
-        elif six.callable(self.bbox):
+        elif callable(self.bbox):
+            if renderer is None:
+                renderer = self.get_figure()._get_renderer()
             return self.bbox(renderer)
         else:
-            raise ValueError("unknown type of bbox")
+            raise ValueError("Unknown type of bbox")
 
     def contains(self, mouseevent):
-        """Test whether the mouse event occured within the image."""
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-
-        if not self.get_visible():  # or self.get_figure()._renderer is None:
+        """Test whether the mouse event occurred within the image."""
+        if self._different_canvas(mouseevent) or not self.get_visible():
             return False, {}
-
         x, y = mouseevent.x, mouseevent.y
         inside = self.get_window_extent().contains(x, y)
-
         return inside, {}
 
-    def get_size(self):
-        """Get the numrows, numcols of the input image"""
-        if self._A is None:
-            raise RuntimeError('You must first set the image array')
-
-        return self._A.shape[:2]
-
-    def make_image(self, renderer, magnification=1.0):
-        if self._A is None:
-            raise RuntimeError('You must first set the image '
-                               'array or the image attribute')
-
-        if self._imcache is None:
-            A = self._A
-            if self.origin == 'upper':
-                A = A[::-1]
-            if A.dtype == np.uint8 and len(A.shape) == 3:
-                im = _image.frombyte(A, 0)
-                im.is_grayscale = False
-            else:
-                if self._rgbacache is None:
-                    x = self.to_rgba(A, bytes=True)
-                    self._rgbacache = x
-                else:
-                    x = self._rgbacache
-                im = _image.frombyte(x, 0)
-                if len(A.shape) == 2:
-                    im.is_grayscale = self.cmap.is_gray()
-                else:
-                    im.is_grayscale = False
-            self._imcache = im
-        else:
-            im = self._imcache
-
-        # image input dimensions
-        im.reset_matrix()
-
-        im.set_interpolation(self._interpd[self._interpolation])
-
-        im.set_resample(self._resample)
-
-        l, b, r, t = self.get_window_extent(renderer).extents  # bbox.extents
-        widthDisplay = abs(round(r) - round(l))
-        heightDisplay = abs(round(t) - round(b))
-        widthDisplay *= magnification
-        heightDisplay *= magnification
-
-        numrows, numcols = self._A.shape[:2]
-
-        if (not self.interp_at_native and
-            widthDisplay == numcols and heightDisplay == numrows):
-            im.set_interpolation(0)
-
-        # resize viewport to display
-        rx = widthDisplay / numcols
-        ry = heightDisplay / numrows
-        #im.apply_scaling(rx*sx, ry*sy)
-        im.apply_scaling(rx, ry)
-        #im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
-        #          norm=self._filternorm, radius=self._filterrad)
-        im.resize(int(widthDisplay), int(heightDisplay),
-                  norm=self._filternorm, radius=self._filterrad)
-        return im
-
-    @allow_rasterization
-    def draw(self, renderer, *args, **kwargs):
-        if not self.get_visible():
-            return
-        # todo: we should be able to do some cacheing here
-        image_mag = renderer.get_image_magnification()
-        im = self.make_image(renderer, image_mag)
-        x0, y0, x1, y1 = self.get_window_extent(renderer).extents
-        gc = renderer.new_gc()
-        self._set_gc_clip(gc)
-        gc.set_alpha(self.get_alpha())
-        #gc.set_clip_path(self.get_clip_path())
-
-        l = np.min([x0, x1])
-        b = np.min([y0, y1])
-        renderer.draw_image(gc, round(l), round(b), im)
-        gc.restore()
+    def make_image(self, renderer, magnification=1.0, unsampled=False):
+        # docstring inherited
+        width, height = renderer.get_canvas_width_height()
+        bbox_in = self.get_window_extent(renderer).frozen()
+        bbox_in._points /= [width, height]
+        bbox_out = self.get_window_extent(renderer)
+        clip = Bbox([[0, 0], [width, height]])
+        self._transform = BboxTransformTo(clip)
+        return self._make_image(
+            self._A,
+            bbox_in, bbox_out, clip, magnification, unsampled=unsampled)
 
 
 def imread(fname, format=None):
     """
     Read an image from a file into an array.
 
-    *fname* may be a string path or a Python file-like object.  If
-    using a file object, it must be opened in binary mode.
-
-    If *format* is provided, will try to read file of that type,
-    otherwise the format is deduced from the filename.  If nothing can
-    be deduced, PNG is tried.
-
-    Return value is a :class:`numpy.array`.  For grayscale images, the
-    return array is MxN.  For RGB images, the return value is MxNx3.
-    For RGBA images the return value is MxNx4.
-
-    matplotlib can only read PNGs natively, but if `PIL
-    <http://www.pythonware.com/products/pil/>`_ is installed, it will
-    use it to load the image and return an array (if possible) which
-    can be used with :func:`~matplotlib.pyplot.imshow`.
+    .. note::
+
+        This function exists for historical reasons.  It is recommended to
+        use `PIL.Image.open` instead for loading images.
+
+    Parameters
+    ----------
+    fname : str or file-like
+        The image file to read: a filename, a URL or a file-like object opened
+        in read-binary mode.
+
+        Passing a URL is deprecated.  Please open the URL
+        for reading and pass the result to Pillow, e.g. with
+        ``np.array(PIL.Image.open(urllib.request.urlopen(url)))``.
+    format : str, optional
+        The image file format assumed for reading the data.  The image is
+        loaded as a PNG file if *format* is set to "png", if *fname* is a path
+        or opened file with a ".png" extension, or if it is a URL.  In all
+        other cases, *format* is ignored and the format is auto-detected by
+        `PIL.Image.open`.
+
+    Returns
+    -------
+    `numpy.array`
+        The image data. The returned array has shape
+
+        - (M, N) for grayscale images.
+        - (M, N, 3) for RGB images.
+        - (M, N, 4) for RGBA images.
+
+        PNG images are returned as float arrays (0-1).  All other formats are
+        returned as int arrays, with a bit depth determined by the file's
+        contents.
     """
+    # hide imports to speed initial import on systems with slow linkers
+    from urllib import parse
 
-    def pilread(fname):
-        """try to load the image with PIL or return None"""
-        try:
-            from PIL import Image
-        except ImportError:
-            return None
-        if cbook.is_string_like(fname):
-            # force close the file after reading the image
-            with open(fname, "rb") as fh:
-                image = Image.open(fh)
-                return pil_to_array(image)
-        else:
-            image = Image.open(fname)
-            return pil_to_array(image)
-
-    handlers = {'png': _png.read_png, }
     if format is None:
-        if cbook.is_string_like(fname):
-            basename, ext = os.path.splitext(fname)
-            ext = ext.lower()[1:]
+        if isinstance(fname, str):
+            parsed = parse.urlparse(fname)
+            # If the string is a URL (Windows paths appear as if they have a
+            # length-1 scheme), assume png.
+            if len(parsed.scheme) > 1:
+                ext = 'png'
+            else:
+                ext = Path(fname).suffix.lower()[1:]
+        elif hasattr(fname, 'geturl'):  # Returned by urlopen().
+            # We could try to parse the url's path and use the extension, but
+            # returning png is consistent with the block above.  Note that this
+            # if clause has to come before checking for fname.name as
+            # urlopen("file:///...") also has a name attribute (with the fixed
+            # value "<urllib response>").
+            ext = 'png'
         elif hasattr(fname, 'name'):
-            basename, ext = os.path.splitext(fname.name)
-            ext = ext.lower()[1:]
+            ext = Path(fname.name).suffix.lower()[1:]
         else:
             ext = 'png'
     else:
         ext = format
-
-    if ext not in handlers:
-        im = pilread(fname)
-        if im is None:
-            raise ValueError('Only know how to handle extensions: %s; '
-                             'with PIL installed matplotlib can handle '
-                             'more images' % list(six.iterkeys(handlers.keys)))
-        return im
-
-    handler = handlers[ext]
-
-    # To handle Unicode filenames, we pass a file object to the PNG
-    # reader extension, since Python handles them quite well, but it's
-    # tricky in C.
-    if cbook.is_string_like(fname):
-        with open(fname, 'rb') as fd:
-            return handler(fd)
-    else:
-        return handler(fname)
+    img_open = (
+        PIL.PngImagePlugin.PngImageFile if ext == 'png' else PIL.Image.open)
+    if isinstance(fname, str) and len(parse.urlparse(fname).scheme) > 1:
+        # Pillow doesn't handle URLs directly.
+        raise ValueError(
+            "Please open the URL for reading and pass the "
+            "result to Pillow, e.g. with "
+            "``np.array(PIL.Image.open(urllib.request.urlopen(url)))``."
+            )
+    with img_open(fname) as image:
+        return (_pil_png_to_float_array(image)
+                if isinstance(image, PIL.PngImagePlugin.PngImageFile) else
+                pil_to_array(image))
 
 
 def imsave(fname, arr, vmin=None, vmax=None, cmap=None, format=None,
-           origin=None, dpi=100):
+           origin=None, dpi=100, *, metadata=None, pil_kwargs=None):
     """
-    Save an array as in image file.
-
-    The output formats available depend on the backend being used.
-
-    Arguments:
-      *fname*:
-        A string containing a path to a filename, or a Python file-like object.
-        If *format* is *None* and *fname* is a string, the output
-        format is deduced from the extension of the filename.
-      *arr*:
-        An MxN (luminance), MxNx3 (RGB) or MxNx4 (RGBA) array.
-    Keyword arguments:
-      *vmin*/*vmax*: [ None | scalar ]
+    Colormap and save an array as an image file.
+
+    RGB(A) images are passed through.  Single channel images will be
+    colormapped according to *cmap* and *norm*.
+
+    .. note::
+
+       If you want to save a single channel image as gray scale please use an
+       image I/O library (such as pillow, tifffile, or imageio) directly.
+
+    Parameters
+    ----------
+    fname : str or path-like or file-like
+        A path or a file-like object to store the image in.
+        If *format* is not set, then the output format is inferred from the
+        extension of *fname*, if any, and from :rc:`savefig.format` otherwise.
+        If *format* is set, it determines the output format.
+    arr : array-like
+        The image data. Accepts NumPy arrays or sequences
+        (e.g., lists or tuples). The shape can be one of
+        MxN (luminance), MxNx3 (RGB) or MxNx4 (RGBA).
+    vmin, vmax : float, optional
         *vmin* and *vmax* set the color scaling for the image by fixing the
         values that map to the colormap color limits. If either *vmin*
         or *vmax* is None, that limit is determined from the *arr*
         min/max value.
-      *cmap*:
-        cmap is a colors.Colormap instance, e.g., cm.jet.
-        If None, default to the rc image.cmap value.
-      *format*:
-        One of the file extensions supported by the active
-        backend.  Most backends support png, pdf, ps, eps and svg.
-      *origin*
-        [ 'upper' | 'lower' ] Indicates where the [0,0] index of
-        the array is in the upper left or lower left corner of
-        the axes. Defaults to the rc image.origin value.
-      *dpi*
+    cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`
+        A Colormap instance or registered colormap name. The colormap
+        maps scalar data to colors. It is ignored for RGB(A) data.
+    format : str, optional
+        The file format, e.g. 'png', 'pdf', 'svg', ...  The behavior when this
+        is unset is documented under *fname*.
+    origin : {'upper', 'lower'}, default: :rc:`image.origin`
+        Indicates whether the ``(0, 0)`` index of the array is in the upper
+        left or lower left corner of the Axes.
+    dpi : float
         The DPI to store in the metadata of the file.  This does not affect the
-        resolution of the output image.
+        resolution of the output image.  Depending on file format, this may be
+        rounded to the nearest integer.
+    metadata : dict, optional
+        Metadata in the image file.  The supported keys depend on the output
+        format, see the documentation of the respective backends for more
+        information.
+        Currently only supported for "png", "pdf", "ps", "eps", and "svg".
+    pil_kwargs : dict, optional
+        Keyword arguments passed to `PIL.Image.Image.save`.  If the 'pnginfo'
+        key is present, it completely overrides *metadata*, including the
+        default 'Software' key.
     """
-    from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
     from matplotlib.figure import Figure
 
-    figsize = [x / float(dpi) for x in (arr.shape[1], arr.shape[0])]
-    fig = Figure(figsize=figsize, dpi=dpi, frameon=False)
-    canvas = FigureCanvas(fig)
-    im = fig.figimage(arr, cmap=cmap, vmin=vmin, vmax=vmax, origin=origin)
-    fig.savefig(fname, dpi=dpi, format=format, transparent=True)
+    # Normalizing input (e.g., list or tuples) to NumPy array if needed
+    arr = np.asanyarray(arr)
+
+    if isinstance(fname, os.PathLike):
+        fname = os.fspath(fname)
+    if format is None:
+        format = (Path(fname).suffix[1:] if isinstance(fname, str)
+                  else mpl.rcParams["savefig.format"]).lower()
+    if format in ["pdf", "ps", "eps", "svg"]:
+        # Vector formats that are not handled by PIL.
+        if pil_kwargs is not None:
+            raise ValueError(
+                f"Cannot use 'pil_kwargs' when saving to {format}")
+        fig = Figure(dpi=dpi, frameon=False)
+        fig.figimage(arr, cmap=cmap, vmin=vmin, vmax=vmax, origin=origin,
+                     resize=True)
+        fig.savefig(fname, dpi=dpi, format=format, transparent=True,
+                    metadata=metadata)
+    else:
+        # Don't bother creating an image; this avoids rounding errors on the
+        # size when dividing and then multiplying by dpi.
+        origin = mpl._val_or_rc(origin, "image.origin")
+        _api.check_in_list(('upper', 'lower'), origin=origin)
+        if origin == "lower":
+            arr = arr[::-1]
+        if (isinstance(arr, memoryview) and arr.format == "B"
+                and arr.ndim == 3 and arr.shape[-1] == 4):
+            # Such an ``arr`` would also be handled fine by sm.to_rgba below
+            # (after casting with asarray), but it is useful to special-case it
+            # because that's what backend_agg passes, and can be in fact used
+            # as is, saving a few operations.
+            rgba = arr
+        else:
+            sm = mcolorizer.Colorizer(cmap=cmap)
+            sm.set_clim(vmin, vmax)
+            rgba = sm.to_rgba(arr, bytes=True)
+        if pil_kwargs is None:
+            pil_kwargs = {}
+        else:
+            # we modify this below, so make a copy (don't modify caller's dict)
+            pil_kwargs = pil_kwargs.copy()
+        pil_shape = (rgba.shape[1], rgba.shape[0])
+        rgba = np.require(rgba, requirements='C')
+        image = PIL.Image.frombuffer(
+            "RGBA", pil_shape, rgba, "raw", "RGBA", 0, 1)
+        if format == "png":
+            # Only use the metadata kwarg if pnginfo is not set, because the
+            # semantics of duplicate keys in pnginfo is unclear.
+            if "pnginfo" in pil_kwargs:
+                if metadata:
+                    _api.warn_external("'metadata' is overridden by the "
+                                       "'pnginfo' entry in 'pil_kwargs'.")
+            else:
+                metadata = {
+                    "Software": (f"Matplotlib version{mpl.__version__}, "
+                                 f"https://matplotlib.org/"),
+                    **(metadata if metadata is not None else {}),
+                }
+                pil_kwargs["pnginfo"] = pnginfo = PIL.PngImagePlugin.PngInfo()
+                for k, v in metadata.items():
+                    if v is not None:
+                        pnginfo.add_text(k, v)
+        elif metadata is not None:
+            raise ValueError(f"metadata not supported for format {format!r}")
+        if format in ["jpg", "jpeg"]:
+            format = "jpeg"  # Pillow doesn't recognize "jpg".
+            facecolor = mpl.rcParams["savefig.facecolor"]
+            if cbook._str_equal(facecolor, "auto"):
+                facecolor = mpl.rcParams["figure.facecolor"]
+            color = tuple(int(x * 255) for x in mcolors.to_rgb(facecolor))
+            background = PIL.Image.new("RGB", pil_shape, color)
+            background.paste(image, image)
+            image = background
+        pil_kwargs.setdefault("format", format)
+        pil_kwargs.setdefault("dpi", (dpi, dpi))
+        image.save(fname, **pil_kwargs)
 
 
 def pil_to_array(pilImage):
     """
-    Load a PIL image and return it as a numpy array.  For grayscale
-    images, the return array is MxN.  For RGB images, the return value
-    is MxNx3.  For RGBA images the return value is MxNx4
+    Load a `PIL image`_ and return it as a numpy int array.
+
+    .. _PIL image: https://pillow.readthedocs.io/en/latest/reference/Image.html
+
+    Returns
+    -------
+    numpy.array
+
+        The array shape depends on the image type:
+
+        - (M, N) for grayscale images.
+        - (M, N, 3) for RGB images.
+        - (M, N, 4) for RGBA images.
     """
-    def toarray(im, dtype=np.uint8):
-        """Return a 1D array of dtype."""
-        # Pillow wants us to use "tobytes"
-        if hasattr(im, 'tobytes'):
-            x_str = im.tobytes('raw', im.mode)
-        else:
-            x_str = im.tostring('raw', im.mode)
-        x = np.fromstring(x_str, dtype)
-        return x
-
-    if pilImage.mode in ('RGBA', 'RGBX'):
-        im = pilImage  # no need to convert images
-    elif pilImage.mode == 'L':
-        im = pilImage  # no need to luminance images
-        # return MxN luminance array
-        x = toarray(im)
-        x.shape = im.size[1], im.size[0]
-        return x
-    elif pilImage.mode == 'RGB':
-        #return MxNx3 RGB array
-        im = pilImage  # no need to RGB images
-        x = toarray(im)
-        x.shape = im.size[1], im.size[0], 3
-        return x
+    if pilImage.mode in ['RGBA', 'RGBX', 'RGB', 'L']:
+        # return MxNx4 RGBA, MxNx3 RBA, or MxN luminance array
+        return np.asarray(pilImage)
     elif pilImage.mode.startswith('I;16'):
         # return MxN luminance array of uint16
-        im = pilImage
-        if im.mode.endswith('B'):
-            x = toarray(im, '>u2')
+        raw = pilImage.tobytes('raw', pilImage.mode)
+        if pilImage.mode.endswith('B'):
+            x = np.frombuffer(raw, '>u2')
         else:
-            x = toarray(im, '<u2')
-        x.shape = im.size[1], im.size[0]
-        return x.astype('=u2')
+            x = np.frombuffer(raw, '<u2')
+        return x.reshape(pilImage.size[::-1]).astype('=u2')
     else:  # try to convert to an rgba image
         try:
-            im = pilImage.convert('RGBA')
-        except ValueError:
-            raise RuntimeError('Unknown image mode')
-
-    # return MxNx4 RGBA array
-    x = toarray(im)
-    x.shape = im.size[1], im.size[0], 4
-    return x
+            pilImage = pilImage.convert('RGBA')
+        except ValueError as err:
+            raise RuntimeError('Unknown image mode') from err
+        return np.asarray(pilImage)  # return MxNx4 RGBA array
+
+
+def _pil_png_to_float_array(pil_png):
+    """Convert a PIL `PNGImageFile` to a 0-1 float array."""
+    # Unlike pil_to_array this converts to 0-1 float32s for backcompat with the
+    # old libpng-based loader.
+    # The supported rawmodes are from PIL.PngImagePlugin._MODES.  When
+    # mode == "RGB(A)", the 16-bit raw data has already been coarsened to 8-bit
+    # by Pillow.
+    mode = pil_png.mode
+    rawmode = pil_png.png.im_rawmode
+    if rawmode == "1":  # Grayscale.
+        return np.asarray(pil_png, np.float32)
+    if rawmode == "L;2":  # Grayscale.
+        return np.divide(pil_png, 2**2 - 1, dtype=np.float32)
+    if rawmode == "L;4":  # Grayscale.
+        return np.divide(pil_png, 2**4 - 1, dtype=np.float32)
+    if rawmode == "L":  # Grayscale.
+        return np.divide(pil_png, 2**8 - 1, dtype=np.float32)
+    if rawmode == "I;16B":  # Grayscale.
+        return np.divide(pil_png, 2**16 - 1, dtype=np.float32)
+    if mode == "RGB":  # RGB.
+        return np.divide(pil_png, 2**8 - 1, dtype=np.float32)
+    if mode == "P":  # Palette.
+        return np.divide(pil_png.convert("RGBA"), 2**8 - 1, dtype=np.float32)
+    if mode == "LA":  # Grayscale + alpha.
+        return np.divide(pil_png.convert("RGBA"), 2**8 - 1, dtype=np.float32)
+    if mode == "RGBA":  # RGBA.
+        return np.divide(pil_png, 2**8 - 1, dtype=np.float32)
+    raise ValueError(f"Unknown PIL rawmode: {rawmode}")
 
 
 def thumbnail(infile, thumbfile, scale=0.1, interpolation='bilinear',
               preview=False):
     """
-    make a thumbnail of image in *infile* with output filename
-    *thumbfile*.
-
-      *infile* the image file -- must be PNG or PIL readable if you
-         have `PIL <http://www.pythonware.com/products/pil/>`_ installed
-
-      *thumbfile*
-        the thumbnail filename
-
-      *scale*
-        the scale factor for the thumbnail
+    Make a thumbnail of image in *infile* with output filename *thumbfile*.
 
-      *interpolation*
-        the interpolation scheme used in the resampling
+    See :doc:`/gallery/misc/image_thumbnail_sgskip`.
 
+    Parameters
+    ----------
+    infile : str or file-like
+        The image file. Matplotlib relies on Pillow_ for image reading, and
+        thus supports a wide range of file formats, including PNG, JPG, TIFF
+        and others.
 
-      *preview*
-        if True, the default backend (presumably a user interface
-        backend) will be used which will cause a figure to be raised
-        if :func:`~matplotlib.pyplot.show` is called.  If it is False,
-        a pure image backend will be used depending on the extension,
-        'png'->FigureCanvasAgg, 'pdf'->FigureCanvasPdf,
-        'svg'->FigureCanvasSVG
+        .. _Pillow: https://python-pillow.github.io
 
+    thumbfile : str or file-like
+        The thumbnail filename.
 
-    See examples/misc/image_thumbnail.py.
+    scale : float, default: 0.1
+        The scale factor for the thumbnail.
 
-    .. htmlonly::
+    interpolation : str, default: 'bilinear'
+        The interpolation scheme used in the resampling. See the
+        *interpolation* parameter of `~.Axes.imshow` for possible values.
 
-        :ref:`misc-image_thumbnail`
-
-    Return value is the figure instance containing the thumbnail
+    preview : bool, default: False
+        If True, the default backend (presumably a user interface
+        backend) will be used which will cause a figure to be raised if
+        `~matplotlib.pyplot.show` is called.  If it is False, the figure is
+        created using `.FigureCanvasBase` and the drawing backend is selected
+        as `.Figure.savefig` would normally do.
 
+    Returns
+    -------
+    `.Figure`
+        The figure instance containing the thumbnail.
     """
-    basedir, basename = os.path.split(infile)
-    baseout, extout = os.path.splitext(thumbfile)
 
     im = imread(infile)
     rows, cols, depth = im.shape
 
-    # this doesn't really matter, it will cancel in the end, but we
-    # need it for the mpl API
+    # This doesn't really matter (it cancels in the end) but the API needs it.
     dpi = 100
 
-    height = float(rows)/dpi*scale
-    width = float(cols)/dpi*scale
-
-    extension = extout.lower()
+    height = rows / dpi * scale
+    width = cols / dpi * scale
 
     if preview:
-        # let the UI backend do everything
+        # Let the UI backend do everything.
         import matplotlib.pyplot as plt
         fig = plt.figure(figsize=(width, height), dpi=dpi)
     else:
-        if extension == '.png':
-            from matplotlib.backends.backend_agg \
-                import FigureCanvasAgg as FigureCanvas
-        elif extension == '.pdf':
-            from matplotlib.backends.backend_pdf \
-                import FigureCanvasPdf as FigureCanvas
-        elif extension == '.svg':
-            from matplotlib.backends.backend_svg \
-                import FigureCanvasSVG as FigureCanvas
-        else:
-            raise ValueError("Can only handle "
-                             "extensions 'png', 'svg' or 'pdf'")
-
         from matplotlib.figure import Figure
         fig = Figure(figsize=(width, height), dpi=dpi)
-        canvas = FigureCanvas(fig)
+        FigureCanvasBase(fig)
 
     ax = fig.add_axes([0, 0, 1, 1], aspect='auto',
                       frameon=False, xticks=[], yticks=[])
-
-    basename, ext = os.path.splitext(basename)
     ax.imshow(im, aspect='auto', resample=True, interpolation=interpolation)
     fig.savefig(thumbfile, dpi=dpi)
     return fig
diff --git a/lib/matplotlib/image.pyi b/lib/matplotlib/image.pyi
new file mode 100644
index 000000000000..1fcc1a710bfd
--- /dev/null
+++ b/lib/matplotlib/image.pyi
@@ -0,0 +1,215 @@
+from collections.abc import Callable, Sequence
+import os
+import pathlib
+from typing import Any, BinaryIO, Literal
+
+import numpy as np
+from numpy.typing import ArrayLike, NDArray
+import PIL.Image
+
+from matplotlib.axes import Axes
+from matplotlib import colorizer
+from matplotlib.backend_bases import RendererBase, MouseEvent
+from matplotlib.colorizer import Colorizer
+from matplotlib.colors import Colormap, Normalize
+from matplotlib.figure import Figure
+from matplotlib.transforms import Affine2D, BboxBase, Bbox, Transform
+
+#
+# These names are re-exported from matplotlib._image.
+#
+
+BESSEL: int
+BICUBIC: int
+BILINEAR: int
+BLACKMAN: int
+CATROM: int
+GAUSSIAN: int
+HAMMING: int
+HANNING: int
+HERMITE: int
+KAISER: int
+LANCZOS: int
+MITCHELL: int
+NEAREST: int
+QUADRIC: int
+SINC: int
+SPLINE16: int
+SPLINE36: int
+
+def resample(
+    input_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8],
+    output_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8],
+    transform: Transform,
+    interpolation: int = ...,
+    resample: bool = ...,
+    alpha: float = ...,
+    norm: bool = ...,
+    radius: float = ...,
+) -> None: ...
+
+#
+# END names re-exported from matplotlib._image.
+#
+
+interpolations_names: set[str]
+
+def composite_images(
+    images: Sequence[_ImageBase], renderer: RendererBase, magnification: float = ...
+) -> tuple[np.ndarray, float, float]: ...
+
+class _ImageBase(colorizer.ColorizingArtist):
+    zorder: float
+    origin: Literal["upper", "lower"]
+    axes: Axes
+    def __init__(
+        self,
+        ax: Axes,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        colorizer: Colorizer | None = ...,
+        interpolation: str | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        filternorm: bool = ...,
+        filterrad: float = ...,
+        resample: bool | None = ...,
+        *,
+        interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_size(self) -> tuple[int, int]: ...
+    def set_alpha(self, alpha: float | ArrayLike | None) -> None: ...
+    def changed(self) -> None: ...
+    def make_image(
+        self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...
+    ) -> tuple[np.ndarray, float, float, Affine2D]: ...
+    def draw(self, renderer: RendererBase) -> None: ...
+    def write_png(self, fname: str | pathlib.Path | BinaryIO) -> None: ...
+    def set_data(self, A: ArrayLike | None) -> None: ...
+    def set_array(self, A: ArrayLike | None) -> None: ...
+    def get_shape(self) -> tuple[int, int, int]: ...
+    def get_interpolation(self) -> str: ...
+    def set_interpolation(self, s: str | None) -> None: ...
+    def get_interpolation_stage(self) -> Literal["data", "rgba", "auto"]: ...
+    def set_interpolation_stage(self, s: Literal["data", "rgba", "auto"]) -> None: ...
+    def can_composite(self) -> bool: ...
+    def set_resample(self, v: bool | None) -> None: ...
+    def get_resample(self) -> bool: ...
+    def set_filternorm(self, filternorm: bool) -> None: ...
+    def get_filternorm(self) -> bool: ...
+    def set_filterrad(self, filterrad: float) -> None: ...
+    def get_filterrad(self) -> float: ...
+
+class AxesImage(_ImageBase):
+    def __init__(
+        self,
+        ax: Axes,
+        *,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        colorizer: Colorizer | None = ...,
+        interpolation: str | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        extent: tuple[float, float, float, float] | None = ...,
+        filternorm: bool = ...,
+        filterrad: float = ...,
+        resample: bool = ...,
+        interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
+    def make_image(
+        self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...
+    ) -> tuple[np.ndarray, float, float, Affine2D]: ...
+    def set_extent(
+        self, extent: tuple[float, float, float, float], **kwargs
+    ) -> None: ...
+    def get_extent(self) -> tuple[float, float, float, float]: ...
+    def get_cursor_data(self, event: MouseEvent) -> None | float: ...
+
+class NonUniformImage(AxesImage):
+    mouseover: bool
+    def __init__(
+        self, ax: Axes, *, interpolation: Literal["nearest", "bilinear"] = ..., **kwargs
+    ) -> None: ...
+    def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ...  # type: ignore[override]
+    # more limited interpolation available here than base class
+    def set_interpolation(self, s: Literal["nearest", "bilinear"]) -> None: ...  # type: ignore[override]
+
+class PcolorImage(AxesImage):
+    def __init__(
+        self,
+        ax: Axes,
+        x: ArrayLike | None = ...,
+        y: ArrayLike | None = ...,
+        A: ArrayLike | None = ...,
+        *,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        colorizer: Colorizer | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ...  # type: ignore[override]
+
+class FigureImage(_ImageBase):
+    zorder: float
+    figure: Figure
+    ox: float
+    oy: float
+    magnification: float
+    def __init__(
+        self,
+        fig: Figure,
+        *,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        colorizer: Colorizer | None = ...,
+        offsetx: int = ...,
+        offsety: int = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_extent(self) -> tuple[float, float, float, float]: ...
+
+class BboxImage(_ImageBase):
+    bbox: BboxBase
+    def __init__(
+        self,
+        bbox: BboxBase | Callable[[RendererBase | None], Bbox],
+        *,
+        cmap: str | Colormap | None = ...,
+        norm: str | Normalize | None = ...,
+        colorizer: Colorizer | None = ...,
+        interpolation: str | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        filternorm: bool = ...,
+        filterrad: float = ...,
+        resample: bool = ...,
+        **kwargs
+    ) -> None: ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
+
+def imread(
+    fname: str | pathlib.Path | BinaryIO, format: str | None = ...
+) -> np.ndarray: ...
+def imsave(
+    fname: str | os.PathLike | BinaryIO,
+    arr: ArrayLike,
+    vmin: float | None = ...,
+    vmax: float | None = ...,
+    cmap: str | Colormap | None = ...,
+    format: str | None = ...,
+    origin: Literal["upper", "lower"] | None = ...,
+    dpi: float = ...,
+    *,
+    metadata: dict[str, str] | None = ...,
+    pil_kwargs: dict[str, Any] | None = ...
+) -> None: ...
+def pil_to_array(pilImage: PIL.Image.Image) -> np.ndarray: ...
+def thumbnail(
+    infile: str | BinaryIO,
+    thumbfile: str | BinaryIO,
+    scale: float = ...,
+    interpolation: str = ...,
+    preview: bool = ...,
+) -> Figure: ...
diff --git a/lib/matplotlib/inset.py b/lib/matplotlib/inset.py
new file mode 100644
index 000000000000..fb5bfacff924
--- /dev/null
+++ b/lib/matplotlib/inset.py
@@ -0,0 +1,276 @@
+"""
+The inset module defines the InsetIndicator class, which draws the rectangle and
+connectors required for `.Axes.indicate_inset` and `.Axes.indicate_inset_zoom`.
+"""
+
+from . import _api, artist, transforms
+from matplotlib.patches import ConnectionPatch, PathPatch, Rectangle
+from matplotlib.path import Path
+
+
+_shared_properties = ('alpha', 'edgecolor', 'linestyle', 'linewidth')
+
+
+class InsetIndicator(artist.Artist):
+    """
+    An artist to highlight an area of interest.
+
+    An inset indicator is a rectangle on the plot at the position indicated by
+    *bounds* that optionally has lines that connect the rectangle to an inset
+    Axes (`.Axes.inset_axes`).
+
+    .. versionadded:: 3.10
+    """
+    zorder = 4.99
+
+    def __init__(self, bounds=None, inset_ax=None, zorder=None, **kwargs):
+        """
+        Parameters
+        ----------
+        bounds : [x0, y0, width, height], optional
+            Lower-left corner of rectangle to be marked, and its width
+            and height.  If not set, the bounds will be calculated from the
+            data limits of inset_ax, which must be supplied.
+
+        inset_ax : `~.axes.Axes`, optional
+            An optional inset Axes to draw connecting lines to.  Two lines are
+            drawn connecting the indicator box to the inset Axes on corners
+            chosen so as to not overlap with the indicator box.
+
+        zorder : float, default: 4.99
+            Drawing order of the rectangle and connector lines.  The default,
+            4.99, is just below the default level of inset Axes.
+
+        **kwargs
+            Other keyword arguments are passed on to the `.Rectangle` patch.
+        """
+        if bounds is None and inset_ax is None:
+            raise ValueError("At least one of bounds or inset_ax must be supplied")
+
+        self._inset_ax = inset_ax
+
+        if bounds is None:
+            # Work out bounds from inset_ax
+            self._auto_update_bounds = True
+            bounds = self._bounds_from_inset_ax()
+        else:
+            self._auto_update_bounds = False
+
+        x, y, width, height = bounds
+
+        self._rectangle = Rectangle((x, y), width, height, clip_on=False, **kwargs)
+
+        # Connector positions cannot be calculated till the artist has been added
+        # to an axes, so just make an empty list for now.
+        self._connectors = []
+
+        super().__init__()
+        self.set_zorder(zorder)
+
+        # Initial style properties for the artist should match the rectangle.
+        for prop in _shared_properties:
+            setattr(self, f'_{prop}', artist.getp(self._rectangle, prop))
+
+    def _shared_setter(self, prop, val):
+        """
+        Helper function to set the same style property on the artist and its children.
+        """
+        setattr(self, f'_{prop}', val)
+
+        artist.setp([self._rectangle, *self._connectors], prop, val)
+
+    @artist.Artist.axes.setter
+    def axes(self, new_axes):
+        # Set axes on the rectangle (required for some external transforms to work) as
+        # well as the InsetIndicator artist.
+        self.rectangle.axes = new_axes
+        artist.Artist.axes.fset(self, new_axes)
+
+    def set_alpha(self, alpha):
+        # docstring inherited
+        self._shared_setter('alpha', alpha)
+
+    def set_edgecolor(self, color):
+        """
+        Set the edge color of the rectangle and the connectors.
+
+        Parameters
+        ----------
+        color : :mpltype:`color` or None
+        """
+        self._shared_setter('edgecolor', color)
+
+    def set_color(self, c):
+        """
+        Set the edgecolor of the rectangle and the connectors, and the
+        facecolor for the rectangle.
+
+        Parameters
+        ----------
+        c : :mpltype:`color`
+        """
+        self._shared_setter('edgecolor', c)
+        self._shared_setter('facecolor', c)
+
+    def set_linewidth(self, w):
+        """
+        Set the linewidth in points of the rectangle and the connectors.
+
+        Parameters
+        ----------
+        w : float or None
+        """
+        self._shared_setter('linewidth', w)
+
+    def set_linestyle(self, ls):
+        """
+        Set the linestyle of the rectangle and the connectors.
+
+        =======================================================  ================
+        linestyle                                                description
+        =======================================================  ================
+        ``'-'`` or ``'solid'``                                   solid line
+        ``'--'`` or ``'dashed'``                                 dashed line
+        ``'-.'`` or ``'dashdot'``                                dash-dotted line
+        ``':'`` or ``'dotted'``                                  dotted line
+        ``''`` or ``'none'`` (discouraged: ``'None'``, ``' '``)  draw nothing
+        =======================================================  ================
+
+        Alternatively a dash tuple of the following form can be provided::
+
+            (offset, onoffseq)
+
+        where ``onoffseq`` is an even length tuple of on and off ink in points.
+
+        Parameters
+        ----------
+        ls : {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+            The line style.
+        """
+        self._shared_setter('linestyle', ls)
+
+    def _bounds_from_inset_ax(self):
+        xlim = self._inset_ax.get_xlim()
+        ylim = self._inset_ax.get_ylim()
+        return (xlim[0], ylim[0], xlim[1] - xlim[0], ylim[1] - ylim[0])
+
+    def _update_connectors(self):
+        (x, y) = self._rectangle.get_xy()
+        width = self._rectangle.get_width()
+        height = self._rectangle.get_height()
+
+        existing_connectors = self._connectors or [None] * 4
+
+        # connect the inset_axes to the rectangle
+        for xy_inset_ax, existing in zip([(0, 0), (0, 1), (1, 0), (1, 1)],
+                                         existing_connectors):
+            # inset_ax positions are in axes coordinates
+            # The 0, 1 values define the four edges if the inset_ax
+            # lower_left, upper_left, lower_right upper_right.
+            ex, ey = xy_inset_ax
+            if self.axes.xaxis.get_inverted():
+                ex = 1 - ex
+            if self.axes.yaxis.get_inverted():
+                ey = 1 - ey
+            xy_data = x + ex * width, y + ey * height
+            if existing is None:
+                # Create new connection patch with styles inherited from the
+                # parent artist.
+                p = ConnectionPatch(
+                    xyA=xy_inset_ax, coordsA=self._inset_ax.transAxes,
+                    xyB=xy_data, coordsB=self.rectangle.get_data_transform(),
+                    arrowstyle="-",
+                    edgecolor=self._edgecolor, alpha=self.get_alpha(),
+                    linestyle=self._linestyle, linewidth=self._linewidth)
+                self._connectors.append(p)
+            else:
+                # Only update positioning of existing connection patch.  We
+                # do not want to override any style settings made by the user.
+                existing.xy1 = xy_inset_ax
+                existing.xy2 = xy_data
+                existing.coords1 = self._inset_ax.transAxes
+                existing.coords2 = self.rectangle.get_data_transform()
+
+        if existing is None:
+            # decide which two of the lines to keep visible....
+            pos = self._inset_ax.get_position()
+            bboxins = pos.transformed(self.get_figure(root=False).transSubfigure)
+            rectbbox = transforms.Bbox.from_bounds(x, y, width, height).transformed(
+                self._rectangle.get_transform())
+            x0 = rectbbox.x0 < bboxins.x0
+            x1 = rectbbox.x1 < bboxins.x1
+            y0 = rectbbox.y0 < bboxins.y0
+            y1 = rectbbox.y1 < bboxins.y1
+            self._connectors[0].set_visible(x0 ^ y0)
+            self._connectors[1].set_visible(x0 == y1)
+            self._connectors[2].set_visible(x1 == y0)
+            self._connectors[3].set_visible(x1 ^ y1)
+
+    @property
+    def rectangle(self):
+        """`.Rectangle`: the indicator frame."""
+        return self._rectangle
+
+    @property
+    def connectors(self):
+        """
+        4-tuple of `.patches.ConnectionPatch` or None
+            The four connector lines connecting to (lower_left, upper_left,
+            lower_right upper_right) corners of *inset_ax*. Two lines are
+            set with visibility to *False*,  but the user can set the
+            visibility to True if the automatic choice is not deemed correct.
+        """
+        if self._inset_ax is None:
+            return
+
+        if self._auto_update_bounds:
+            self._rectangle.set_bounds(self._bounds_from_inset_ax())
+        self._update_connectors()
+        return tuple(self._connectors)
+
+    def draw(self, renderer):
+        # docstring inherited
+        conn_same_style = []
+
+        # Figure out which connectors have the same style as the box, so should
+        # be drawn as a single path.
+        for conn in self.connectors or []:
+            if conn.get_visible():
+                drawn = False
+                for s in _shared_properties:
+                    if artist.getp(self._rectangle, s) != artist.getp(conn, s):
+                        # Draw this connector by itself
+                        conn.draw(renderer)
+                        drawn = True
+                        break
+
+                if not drawn:
+                    # Connector has same style as box.
+                    conn_same_style.append(conn)
+
+        if conn_same_style:
+            # Since at least one connector has the same style as the rectangle, draw
+            # them as a compound path.
+            artists = [self._rectangle] + conn_same_style
+            paths = [a.get_transform().transform_path(a.get_path()) for a in artists]
+            path = Path.make_compound_path(*paths)
+
+            # Create a temporary patch to draw the path.
+            p = PathPatch(path)
+            p.update_from(self._rectangle)
+            p.set_transform(transforms.IdentityTransform())
+            p.draw(renderer)
+
+            return
+
+        # Just draw the rectangle
+        self._rectangle.draw(renderer)
+
+    @_api.deprecated(
+        '3.10',
+        message=('Since Matplotlib 3.10 indicate_inset_[zoom] returns a single '
+                 'InsetIndicator artist with a rectangle property and a connectors '
+                 'property.  From 3.12 it will no longer be possible to unpack the '
+                 'return value into two elements.'))
+    def __getitem__(self, key):
+        return [self._rectangle, self.connectors][key]
diff --git a/lib/matplotlib/inset.pyi b/lib/matplotlib/inset.pyi
new file mode 100644
index 000000000000..e895fd7be27c
--- /dev/null
+++ b/lib/matplotlib/inset.pyi
@@ -0,0 +1,25 @@
+from . import artist
+from .axes import Axes
+from .backend_bases import RendererBase
+from .patches import ConnectionPatch, Rectangle
+
+from .typing import ColorType, LineStyleType
+
+class InsetIndicator(artist.Artist):
+    def __init__(
+        self,
+        bounds: tuple[float, float, float, float] | None = ...,
+        inset_ax: Axes | None = ...,
+        zorder: float | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_alpha(self, alpha: float | None) -> None: ...
+    def set_edgecolor(self, color: ColorType | None) -> None: ...
+    def set_color(self, c: ColorType | None) -> None: ...
+    def set_linewidth(self, w: float | None) -> None: ...
+    def set_linestyle(self, ls: LineStyleType | None) -> None: ...
+    @property
+    def rectangle(self) -> Rectangle: ...
+    @property
+    def connectors(self) -> tuple[ConnectionPatch, ConnectionPatch, ConnectionPatch, ConnectionPatch] | None: ...
+    def draw(self, renderer: RendererBase) -> None: ...
diff --git a/lib/matplotlib/layout_engine.py b/lib/matplotlib/layout_engine.py
new file mode 100644
index 000000000000..8a3276b53371
--- /dev/null
+++ b/lib/matplotlib/layout_engine.py
@@ -0,0 +1,309 @@
+"""
+Classes to layout elements in a `.Figure`.
+
+Figures have a ``layout_engine`` property that holds a subclass of
+`~.LayoutEngine` defined here (or *None* for no layout).  At draw time
+``figure.get_layout_engine().execute()`` is called, the goal of which is
+usually to rearrange Axes on the figure to produce a pleasing layout. This is
+like a ``draw`` callback but with two differences.  First, when printing we
+disable the layout engine for the final draw. Second, it is useful to know the
+layout engine while the figure is being created.  In particular, colorbars are
+made differently with different layout engines (for historical reasons).
+
+Matplotlib has two built-in layout engines:
+
+- `.TightLayoutEngine` was the first layout engine added to Matplotlib.
+  See also :ref:`tight_layout_guide`.
+- `.ConstrainedLayoutEngine` is more modern and generally gives better results.
+  See also :ref:`constrainedlayout_guide`.
+
+Third parties can create their own layout engine by subclassing `.LayoutEngine`.
+"""
+
+from contextlib import nullcontext
+
+import matplotlib as mpl
+
+from matplotlib._constrained_layout import do_constrained_layout
+from matplotlib._tight_layout import (get_subplotspec_list,
+                                      get_tight_layout_figure)
+
+
+class LayoutEngine:
+    """
+    Base class for Matplotlib layout engines.
+
+    A layout engine can be passed to a figure at instantiation or at any time
+    with `~.figure.Figure.set_layout_engine`.  Once attached to a figure, the
+    layout engine ``execute`` function is called at draw time by
+    `~.figure.Figure.draw`, providing a special draw-time hook.
+
+    .. note::
+
+       However, note that layout engines affect the creation of colorbars, so
+       `~.figure.Figure.set_layout_engine` should be called before any
+       colorbars are created.
+
+    Currently, there are two properties of `LayoutEngine` classes that are
+    consulted while manipulating the figure:
+
+    - ``engine.colorbar_gridspec`` tells `.Figure.colorbar` whether to make the
+       axes using the gridspec method (see `.colorbar.make_axes_gridspec`) or
+       not (see `.colorbar.make_axes`);
+    - ``engine.adjust_compatible`` stops `.Figure.subplots_adjust` from being
+        run if it is not compatible with the layout engine.
+
+    To implement a custom `LayoutEngine`:
+
+    1. override ``_adjust_compatible`` and ``_colorbar_gridspec``
+    2. override `LayoutEngine.set` to update *self._params*
+    3. override `LayoutEngine.execute` with your implementation
+
+    """
+    # override these in subclass
+    _adjust_compatible = None
+    _colorbar_gridspec = None
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._params = {}
+
+    def set(self, **kwargs):
+        """
+        Set the parameters for the layout engine.
+        """
+        raise NotImplementedError
+
+    @property
+    def colorbar_gridspec(self):
+        """
+        Return a boolean if the layout engine creates colorbars using a
+        gridspec.
+        """
+        if self._colorbar_gridspec is None:
+            raise NotImplementedError
+        return self._colorbar_gridspec
+
+    @property
+    def adjust_compatible(self):
+        """
+        Return a boolean if the layout engine is compatible with
+        `~.Figure.subplots_adjust`.
+        """
+        if self._adjust_compatible is None:
+            raise NotImplementedError
+        return self._adjust_compatible
+
+    def get(self):
+        """
+        Return copy of the parameters for the layout engine.
+        """
+        return dict(self._params)
+
+    def execute(self, fig):
+        """
+        Execute the layout on the figure given by *fig*.
+        """
+        # subclasses must implement this.
+        raise NotImplementedError
+
+
+class PlaceHolderLayoutEngine(LayoutEngine):
+    """
+    This layout engine does not adjust the figure layout at all.
+
+    The purpose of this `.LayoutEngine` is to act as a placeholder when the user removes
+    a layout engine to ensure an incompatible `.LayoutEngine` cannot be set later.
+
+    Parameters
+    ----------
+    adjust_compatible, colorbar_gridspec : bool
+        Allow the PlaceHolderLayoutEngine to mirror the behavior of whatever
+        layout engine it is replacing.
+
+    """
+    def __init__(self, adjust_compatible, colorbar_gridspec, **kwargs):
+        self._adjust_compatible = adjust_compatible
+        self._colorbar_gridspec = colorbar_gridspec
+        super().__init__(**kwargs)
+
+    def execute(self, fig):
+        """
+        Do nothing.
+        """
+        return
+
+
+class TightLayoutEngine(LayoutEngine):
+    """
+    Implements the ``tight_layout`` geometry management.  See
+    :ref:`tight_layout_guide` for details.
+    """
+    _adjust_compatible = True
+    _colorbar_gridspec = True
+
+    def __init__(self, *, pad=1.08, h_pad=None, w_pad=None,
+                 rect=(0, 0, 1, 1), **kwargs):
+        """
+        Initialize tight_layout engine.
+
+        Parameters
+        ----------
+        pad : float, default: 1.08
+            Padding between the figure edge and the edges of subplots, as a
+            fraction of the font size.
+        h_pad, w_pad : float
+            Padding (height/width) between edges of adjacent subplots.
+            Defaults to *pad*.
+        rect : tuple (left, bottom, right, top), default: (0, 0, 1, 1).
+            rectangle in normalized figure coordinates that the subplots
+            (including labels) will fit into.
+        """
+        super().__init__(**kwargs)
+        for td in ['pad', 'h_pad', 'w_pad', 'rect']:
+            # initialize these in case None is passed in above:
+            self._params[td] = None
+        self.set(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
+
+    def execute(self, fig):
+        """
+        Execute tight_layout.
+
+        This decides the subplot parameters given the padding that
+        will allow the Axes labels to not be covered by other labels
+        and Axes.
+
+        Parameters
+        ----------
+        fig : `.Figure` to perform layout on.
+
+        See Also
+        --------
+        .figure.Figure.tight_layout
+        .pyplot.tight_layout
+        """
+        info = self._params
+        renderer = fig._get_renderer()
+        with getattr(renderer, "_draw_disabled", nullcontext)():
+            kwargs = get_tight_layout_figure(
+                fig, fig.axes, get_subplotspec_list(fig.axes), renderer,
+                pad=info['pad'], h_pad=info['h_pad'], w_pad=info['w_pad'],
+                rect=info['rect'])
+        if kwargs:
+            fig.subplots_adjust(**kwargs)
+
+    def set(self, *, pad=None, w_pad=None, h_pad=None, rect=None):
+        """
+        Set the pads for tight_layout.
+
+        Parameters
+        ----------
+        pad : float
+            Padding between the figure edge and the edges of subplots, as a
+            fraction of the font size.
+        w_pad, h_pad : float
+            Padding (width/height) between edges of adjacent subplots.
+            Defaults to *pad*.
+        rect : tuple (left, bottom, right, top)
+            rectangle in normalized figure coordinates that the subplots
+            (including labels) will fit into.
+        """
+        for td in self.set.__kwdefaults__:
+            if locals()[td] is not None:
+                self._params[td] = locals()[td]
+
+
+class ConstrainedLayoutEngine(LayoutEngine):
+    """
+    Implements the ``constrained_layout`` geometry management.  See
+    :ref:`constrainedlayout_guide` for details.
+    """
+
+    _adjust_compatible = False
+    _colorbar_gridspec = False
+
+    def __init__(self, *, h_pad=None, w_pad=None,
+                 hspace=None, wspace=None, rect=(0, 0, 1, 1),
+                 compress=False, **kwargs):
+        """
+        Initialize ``constrained_layout`` settings.
+
+        Parameters
+        ----------
+        h_pad, w_pad : float
+            Padding around the Axes elements in inches.
+            Default to :rc:`figure.constrained_layout.h_pad` and
+            :rc:`figure.constrained_layout.w_pad`.
+        hspace, wspace : float
+            Fraction of the figure to dedicate to space between the
+            axes.  These are evenly spread between the gaps between the Axes.
+            A value of 0.2 for a three-column layout would have a space
+            of 0.1 of the figure width between each column.
+            If h/wspace < h/w_pad, then the pads are used instead.
+            Default to :rc:`figure.constrained_layout.hspace` and
+            :rc:`figure.constrained_layout.wspace`.
+        rect : tuple of 4 floats
+            Rectangle in figure coordinates to perform constrained layout in
+            (left, bottom, width, height), each from 0-1.
+        compress : bool
+            Whether to shift Axes so that white space in between them is
+            removed. This is useful for simple grids of fixed-aspect Axes (e.g.
+            a grid of images).  See :ref:`compressed_layout`.
+        """
+        super().__init__(**kwargs)
+        # set the defaults:
+        self.set(w_pad=mpl.rcParams['figure.constrained_layout.w_pad'],
+                 h_pad=mpl.rcParams['figure.constrained_layout.h_pad'],
+                 wspace=mpl.rcParams['figure.constrained_layout.wspace'],
+                 hspace=mpl.rcParams['figure.constrained_layout.hspace'],
+                 rect=(0, 0, 1, 1))
+        # set anything that was passed in (None will be ignored):
+        self.set(w_pad=w_pad, h_pad=h_pad, wspace=wspace, hspace=hspace,
+                 rect=rect)
+        self._compress = compress
+
+    def execute(self, fig):
+        """
+        Perform constrained_layout and move and resize Axes accordingly.
+
+        Parameters
+        ----------
+        fig : `.Figure` to perform layout on.
+        """
+        width, height = fig.get_size_inches()
+        # pads are relative to the current state of the figure...
+        w_pad = self._params['w_pad'] / width
+        h_pad = self._params['h_pad'] / height
+
+        return do_constrained_layout(fig, w_pad=w_pad, h_pad=h_pad,
+                                     wspace=self._params['wspace'],
+                                     hspace=self._params['hspace'],
+                                     rect=self._params['rect'],
+                                     compress=self._compress)
+
+    def set(self, *, h_pad=None, w_pad=None,
+            hspace=None, wspace=None, rect=None):
+        """
+        Set the pads for constrained_layout.
+
+        Parameters
+        ----------
+        h_pad, w_pad : float
+            Padding around the Axes elements in inches.
+            Default to :rc:`figure.constrained_layout.h_pad` and
+            :rc:`figure.constrained_layout.w_pad`.
+        hspace, wspace : float
+            Fraction of the figure to dedicate to space between the
+            axes.  These are evenly spread between the gaps between the Axes.
+            A value of 0.2 for a three-column layout would have a space
+            of 0.1 of the figure width between each column.
+            If h/wspace < h/w_pad, then the pads are used instead.
+            Default to :rc:`figure.constrained_layout.hspace` and
+            :rc:`figure.constrained_layout.wspace`.
+        rect : tuple of 4 floats
+            Rectangle in figure coordinates to perform constrained layout in
+            (left, bottom, width, height), each from 0-1.
+        """
+        for td in self.set.__kwdefaults__:
+            if locals()[td] is not None:
+                self._params[td] = locals()[td]
diff --git a/lib/matplotlib/layout_engine.pyi b/lib/matplotlib/layout_engine.pyi
new file mode 100644
index 000000000000..5b8c812ff47f
--- /dev/null
+++ b/lib/matplotlib/layout_engine.pyi
@@ -0,0 +1,62 @@
+from matplotlib.figure import Figure
+
+from typing import Any
+
+class LayoutEngine:
+    def __init__(self, **kwargs: Any) -> None: ...
+    def set(self) -> None: ...
+    @property
+    def colorbar_gridspec(self) -> bool: ...
+    @property
+    def adjust_compatible(self) -> bool: ...
+    def get(self) -> dict[str, Any]: ...
+    def execute(self, fig: Figure) -> None: ...
+
+class PlaceHolderLayoutEngine(LayoutEngine):
+    def __init__(
+        self, adjust_compatible: bool, colorbar_gridspec: bool, **kwargs: Any
+    ) -> None: ...
+    def execute(self, fig: Figure) -> None: ...
+
+class TightLayoutEngine(LayoutEngine):
+    def __init__(
+        self,
+        *,
+        pad: float = ...,
+        h_pad: float | None = ...,
+        w_pad: float | None = ...,
+        rect: tuple[float, float, float, float] = ...,
+        **kwargs: Any
+    ) -> None: ...
+    def execute(self, fig: Figure) -> None: ...
+    def set(
+        self,
+        *,
+        pad: float | None = ...,
+        w_pad: float | None = ...,
+        h_pad: float | None = ...,
+        rect: tuple[float, float, float, float] | None = ...
+    ) -> None: ...
+
+class ConstrainedLayoutEngine(LayoutEngine):
+    def __init__(
+        self,
+        *,
+        h_pad: float | None = ...,
+        w_pad: float | None = ...,
+        hspace: float | None = ...,
+        wspace: float | None = ...,
+        rect: tuple[float, float, float, float] = ...,
+        compress: bool = ...,
+        **kwargs: Any
+    ) -> None: ...
+    def execute(self, fig: Figure) -> Any: ...
+    def set(
+        self,
+        *,
+        h_pad: float | None = ...,
+        w_pad: float | None = ...,
+        hspace: float | None = ...,
+        wspace: float | None = ...,
+        rect: tuple[float, float, float, float] | None = ...
+    ) -> None: ...
diff --git a/lib/matplotlib/legend.py b/lib/matplotlib/legend.py
index e5c0fc47a05a..2fb14e52c58c 100644
--- a/lib/matplotlib/legend.py
+++ b/lib/matplotlib/legend.py
@@ -1,52 +1,52 @@
 """
 The legend module defines the Legend class, which is responsible for
-drawing legends associated with axes and/or figures.
+drawing legends associated with Axes and/or figures.
 
 .. important::
 
     It is unlikely that you would ever create a Legend instance manually.
-    Most users would normally create a legend via the
-    :meth:`~matplotlib.axes.Axes.legend` function. For more details on legends
-    there is also a :ref:`legend guide <plotting-guide-legend>`.
-
-The Legend class can be considered as a container of legend handles
-and legend texts. Creation of corresponding legend handles from the
-plot elements in the axes or figures (e.g., lines, patches, etc.) are
-specified by the handler map, which defines the mapping between the
-plot elements and the legend handlers to be used (the default legend
-handlers are defined in the :mod:`~matplotlib.legend_handler` module).
-Note that not all kinds of artist are supported by the legend yet by default
-but it is possible to extend the legend handler's capabilities to
-support arbitrary objects. See the :ref:`legend guide <plotting-guide-legend>`
-for more information.
+    Most users would normally create a legend via the `~.Axes.legend`
+    function. For more details on legends there is also a :ref:`legend guide
+    <legend_guide>`.
 
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+The `Legend` class is a container of legend handles and legend texts.
+
+The legend handler map specifies how to create legend handles from artists
+(lines, patches, etc.) in the Axes or figures. Default legend handlers are
+defined in the :mod:`~matplotlib.legend_handler` module. While not all artist
+types are covered by the default legend handlers, custom legend handlers can be
+defined to support arbitrary objects.
 
-import six
-from six.moves import xrange
+See the :ref`<legend_guide>` for more
+information.
+"""
 
-import warnings
+import itertools
+import logging
+import numbers
+import time
 
 import numpy as np
 
-from matplotlib import rcParams
+import matplotlib as mpl
+from matplotlib import _api, _docstring, cbook, colors, offsetbox
 from matplotlib.artist import Artist, allow_rasterization
-from matplotlib.cbook import (is_string_like, iterable, silent_list, safezip,
-                              warn_deprecated)
+from matplotlib.cbook import silent_list
 from matplotlib.font_manager import FontProperties
 from matplotlib.lines import Line2D
-from matplotlib.patches import Patch, Rectangle, Shadow, FancyBboxPatch
-from matplotlib.collections import (LineCollection, RegularPolyCollection,
-                                    CircleCollection, PathCollection,
-                                    PolyCollection)
+from matplotlib.patches import (Patch, Rectangle, Shadow, FancyBboxPatch,
+                                StepPatch)
+from matplotlib.collections import (
+    Collection, CircleCollection, LineCollection, PathCollection,
+    PolyCollection, RegularPolyCollection)
+from matplotlib.text import Text
 from matplotlib.transforms import Bbox, BboxBase, TransformedBbox
 from matplotlib.transforms import BboxTransformTo, BboxTransformFrom
-
-from matplotlib.offsetbox import HPacker, VPacker, TextArea, DrawingArea
-from matplotlib.offsetbox import DraggableOffsetBox
-
+from matplotlib.offsetbox import (
+    AnchoredOffsetbox, DraggableOffsetBox,
+    HPacker, VPacker,
+    DrawingArea, TextArea,
+)
 from matplotlib.container import ErrorbarContainer, BarContainer, StemContainer
 from . import legend_handler
 
@@ -54,236 +54,415 @@
 class DraggableLegend(DraggableOffsetBox):
     def __init__(self, legend, use_blit=False, update="loc"):
         """
-        update : If "loc", update *loc* parameter of
-                 legend upon finalizing. If "bbox", update
-                 *bbox_to_anchor* parameter.
+        Wrapper around a `.Legend` to support mouse dragging.
+
+        Parameters
+        ----------
+        legend : `.Legend`
+            The `.Legend` instance to wrap.
+        use_blit : bool, optional
+            Use blitting for faster image composition. For details see
+            :ref:`func-animation`.
+        update : {'loc', 'bbox'}, optional
+            If "loc", update the *loc* parameter of the legend upon finalizing.
+            If "bbox", update the *bbox_to_anchor* parameter.
         """
         self.legend = legend
 
-        if update in ["loc", "bbox"]:
-            self._update = update
-        else:
-            raise ValueError("update parameter '%s' is not supported." %
-                             update)
-
-        DraggableOffsetBox.__init__(self, legend, legend._legend_box,
-                                    use_blit=use_blit)
+        _api.check_in_list(["loc", "bbox"], update=update)
+        self._update = update
 
-    def artist_picker(self, legend, evt):
-        return self.legend.contains(evt)
+        super().__init__(legend, legend._legend_box, use_blit=use_blit)
 
     def finalize_offset(self):
-        loc_in_canvas = self.get_loc_in_canvas()
-
         if self._update == "loc":
-            self._update_loc(loc_in_canvas)
+            self._update_loc(self.get_loc_in_canvas())
         elif self._update == "bbox":
-            self._update_bbox_to_anchor(loc_in_canvas)
-        else:
-            raise RuntimeError("update parameter '%s' is not supported." %
-                               self.update)
+            self._update_bbox_to_anchor(self.get_loc_in_canvas())
 
     def _update_loc(self, loc_in_canvas):
         bbox = self.legend.get_bbox_to_anchor()
-
         # if bbox has zero width or height, the transformation is
-        # ill-defined. Fall back to the defaul bbox_to_anchor.
+        # ill-defined. Fall back to the default bbox_to_anchor.
         if bbox.width == 0 or bbox.height == 0:
             self.legend.set_bbox_to_anchor(None)
             bbox = self.legend.get_bbox_to_anchor()
-
         _bbox_transform = BboxTransformFrom(bbox)
-        self.legend._loc = tuple(
-            _bbox_transform.transform_point(loc_in_canvas)
-        )
+        self.legend._loc = tuple(_bbox_transform.transform(loc_in_canvas))
 
     def _update_bbox_to_anchor(self, loc_in_canvas):
+        loc_in_bbox = self.legend.axes.transAxes.transform(loc_in_canvas)
+        self.legend.set_bbox_to_anchor(loc_in_bbox)
 
-        tr = self.legend.axes.transAxes
-        loc_in_bbox = tr.transform_point(loc_in_canvas)
 
-        self.legend.set_bbox_to_anchor(loc_in_bbox)
+_legend_kw_doc_base = """
+bbox_to_anchor : `.BboxBase`, 2-tuple, or 4-tuple of floats
+    Box that is used to position the legend in conjunction with *loc*.
+    Defaults to ``axes.bbox`` (if called as a method to `.Axes.legend`) or
+    ``figure.bbox`` (if ``figure.legend``).  This argument allows arbitrary
+    placement of the legend.
+
+    Bbox coordinates are interpreted in the coordinate system given by
+    *bbox_transform*, with the default transform
+    Axes or Figure coordinates, depending on which ``legend`` is called.
+
+    If a 4-tuple or `.BboxBase` is given, then it specifies the bbox
+    ``(x, y, width, height)`` that the legend is placed in.
+    To put the legend in the best location in the bottom right
+    quadrant of the Axes (or figure)::
+
+        loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5)
+
+    A 2-tuple ``(x, y)`` places the corner of the legend specified by *loc* at
+    x, y.  For example, to put the legend's upper right-hand corner in the
+    center of the Axes (or figure) the following keywords can be used::
+
+        loc='upper right', bbox_to_anchor=(0.5, 0.5)
+
+ncols : int, default: 1
+    The number of columns that the legend has.
+
+    For backward compatibility, the spelling *ncol* is also supported
+    but it is discouraged. If both are given, *ncols* takes precedence.
+
+prop : None or `~matplotlib.font_manager.FontProperties` or dict
+    The font properties of the legend. If None (default), the current
+    :data:`matplotlib.rcParams` will be used.
+
+fontsize : int or {'xx-small', 'x-small', 'small', 'medium', 'large', \
+'x-large', 'xx-large'}
+    The font size of the legend. If the value is numeric the size will be the
+    absolute font size in points. String values are relative to the current
+    default font size. This argument is only used if *prop* is not specified.
+
+labelcolor : str or list, default: :rc:`legend.labelcolor`
+    The color of the text in the legend. Either a valid color string
+    (for example, 'red'), or a list of color strings. The labelcolor can
+    also be made to match the color of the line or marker using 'linecolor',
+    'markerfacecolor' (or 'mfc'), or 'markeredgecolor' (or 'mec').
+
+    Labelcolor can be set globally using :rc:`legend.labelcolor`. If None,
+    use :rc:`text.color`.
+
+numpoints : int, default: :rc:`legend.numpoints`
+    The number of marker points in the legend when creating a legend
+    entry for a `.Line2D` (line).
+
+scatterpoints : int, default: :rc:`legend.scatterpoints`
+    The number of marker points in the legend when creating
+    a legend entry for a `.PathCollection` (scatter plot).
+
+scatteryoffsets : iterable of floats, default: ``[0.375, 0.5, 0.3125]``
+    The vertical offset (relative to the font size) for the markers
+    created for a scatter plot legend entry. 0.0 is at the base the
+    legend text, and 1.0 is at the top. To draw all markers at the
+    same height, set to ``[0.5]``.
+
+markerscale : float, default: :rc:`legend.markerscale`
+    The relative size of legend markers compared to the originally drawn ones.
+
+markerfirst : bool, default: True
+    If *True*, legend marker is placed to the left of the legend label.
+    If *False*, legend marker is placed to the right of the legend label.
+
+reverse : bool, default: False
+    If *True*, the legend labels are displayed in reverse order from the input.
+    If *False*, the legend labels are displayed in the same order as the input.
+
+    .. versionadded:: 3.7
+
+frameon : bool, default: :rc:`legend.frameon`
+    Whether the legend should be drawn on a patch (frame).
+
+fancybox : bool, default: :rc:`legend.fancybox`
+    Whether round edges should be enabled around the `.FancyBboxPatch` which
+    makes up the legend's background.
+
+shadow : None, bool or dict, default: :rc:`legend.shadow`
+    Whether to draw a shadow behind the legend.
+    The shadow can be configured using `.Patch` keywords.
+    Customization via :rc:`legend.shadow` is currently not supported.
+
+framealpha : float, default: :rc:`legend.framealpha`
+    The alpha transparency of the legend's background.
+    If *shadow* is activated and *framealpha* is ``None``, the default value is
+    ignored.
+
+facecolor : "inherit" or color, default: :rc:`legend.facecolor`
+    The legend's background color.
+    If ``"inherit"``, use :rc:`axes.facecolor`.
+
+edgecolor : "inherit" or color, default: :rc:`legend.edgecolor`
+    The legend's background patch edge color.
+    If ``"inherit"``, use :rc:`axes.edgecolor`.
+
+mode : {"expand", None}
+    If *mode* is set to ``"expand"`` the legend will be horizontally
+    expanded to fill the Axes area (or *bbox_to_anchor* if defines
+    the legend's size).
+
+bbox_transform : None or `~matplotlib.transforms.Transform`
+    The transform for the bounding box (*bbox_to_anchor*). For a value
+    of ``None`` (default) the Axes'
+    :data:`!matplotlib.axes.Axes.transAxes` transform will be used.
+
+title : str or None
+    The legend's title. Default is no title (``None``).
+
+title_fontproperties : None or `~matplotlib.font_manager.FontProperties` or dict
+    The font properties of the legend's title. If None (default), the
+    *title_fontsize* argument will be used if present; if *title_fontsize* is
+    also None, the current :rc:`legend.title_fontsize` will be used.
+
+title_fontsize : int or {'xx-small', 'x-small', 'small', 'medium', 'large', \
+'x-large', 'xx-large'}, default: :rc:`legend.title_fontsize`
+    The font size of the legend's title.
+    Note: This cannot be combined with *title_fontproperties*. If you want
+    to set the fontsize alongside other font properties, use the *size*
+    parameter in *title_fontproperties*.
+
+alignment : {'center', 'left', 'right'}, default: 'center'
+    The alignment of the legend title and the box of entries. The entries
+    are aligned as a single block, so that markers always lined up.
+
+borderpad : float, default: :rc:`legend.borderpad`
+    The fractional whitespace inside the legend border, in font-size units.
+
+labelspacing : float, default: :rc:`legend.labelspacing`
+    The vertical space between the legend entries, in font-size units.
+
+handlelength : float, default: :rc:`legend.handlelength`
+    The length of the legend handles, in font-size units.
+
+handleheight : float, default: :rc:`legend.handleheight`
+    The height of the legend handles, in font-size units.
+
+handletextpad : float, default: :rc:`legend.handletextpad`
+    The pad between the legend handle and text, in font-size units.
+
+borderaxespad : float, default: :rc:`legend.borderaxespad`
+    The pad between the Axes and legend border, in font-size units.
+
+columnspacing : float, default: :rc:`legend.columnspacing`
+    The spacing between columns, in font-size units.
+
+handler_map : dict or None
+    The custom dictionary mapping instances or types to a legend
+    handler. This *handler_map* updates the default handler map
+    found at `matplotlib.legend.Legend.get_legend_handler_map`.
+
+draggable : bool, default: False
+    Whether the legend can be dragged with the mouse.
+"""
+
+_loc_doc_base = """
+loc : str or pair of floats, default: {default}
+    The location of the legend.
+
+    The strings ``'upper left'``, ``'upper right'``, ``'lower left'``,
+    ``'lower right'`` place the legend at the corresponding corner of the
+    {parent}.
+
+    The strings ``'upper center'``, ``'lower center'``, ``'center left'``,
+    ``'center right'`` place the legend at the center of the corresponding edge
+    of the {parent}.
+
+    The string ``'center'`` places the legend at the center of the {parent}.
+{best}
+    The location can also be a 2-tuple giving the coordinates of the lower-left
+    corner of the legend in {parent} coordinates (in which case *bbox_to_anchor*
+    will be ignored).
+
+    For back-compatibility, ``'center right'`` (but no other location) can also
+    be spelled ``'right'``, and each "string" location can also be given as a
+    numeric value:
+
+    ==================   =============
+    Location String      Location Code
+    ==================   =============
+    'best' (Axes only)   0
+    'upper right'        1
+    'upper left'         2
+    'lower left'         3
+    'lower right'        4
+    'right'              5
+    'center left'        6
+    'center right'       7
+    'lower center'       8
+    'upper center'       9
+    'center'             10
+    ==================   =============
+    {outside}"""
+
+_loc_doc_best = """
+    The string ``'best'`` places the legend at the location, among the nine
+    locations defined so far, with the minimum overlap with other drawn
+    artists.  This option can be quite slow for plots with large amounts of
+    data; your plotting speed may benefit from providing a specific location.
+"""
+
+_legend_kw_axes_st = (
+    _loc_doc_base.format(parent='axes', default=':rc:`legend.loc`',
+                         best=_loc_doc_best, outside='') +
+    _legend_kw_doc_base)
+_docstring.interpd.register(_legend_kw_axes=_legend_kw_axes_st)
+
+_outside_doc = """
+    If a figure is using the constrained layout manager, the string codes
+    of the *loc* keyword argument can get better layout behaviour using the
+    prefix 'outside'. There is ambiguity at the corners, so 'outside
+    upper right' will make space for the legend above the rest of the
+    axes in the layout, and 'outside right upper' will make space on the
+    right side of the layout.  In addition to the values of *loc*
+    listed above, we have 'outside right upper', 'outside right lower',
+    'outside left upper', and 'outside left lower'.  See
+    :ref:`legend_guide` for more details.
+"""
+
+_legend_kw_figure_st = (
+    _loc_doc_base.format(parent='figure', default="'upper right'",
+                         best='', outside=_outside_doc) +
+    _legend_kw_doc_base)
+_docstring.interpd.register(_legend_kw_figure=_legend_kw_figure_st)
+
+_legend_kw_both_st = (
+    _loc_doc_base.format(parent='axes/figure',
+                         default=":rc:`legend.loc` for Axes, 'upper right' for Figure",
+                         best=_loc_doc_best, outside=_outside_doc) +
+    _legend_kw_doc_base)
+_docstring.interpd.register(_legend_kw_doc=_legend_kw_both_st)
+
+_legend_kw_set_loc_st = (
+    _loc_doc_base.format(parent='axes/figure',
+                         default=":rc:`legend.loc` for Axes, 'upper right' for Figure",
+                         best=_loc_doc_best, outside=_outside_doc))
+_docstring.interpd.register(_legend_kw_set_loc_doc=_legend_kw_set_loc_st)
 
 
 class Legend(Artist):
     """
-    Place a legend on the axes at location loc.  Labels are a
-    sequence of strings and loc can be a string or an integer
-    specifying the legend location
-
-    The location codes are::
-
-      'best'         : 0, (only implemented for axis legends)
-      'upper right'  : 1,
-      'upper left'   : 2,
-      'lower left'   : 3,
-      'lower right'  : 4,
-      'right'        : 5,
-      'center left'  : 6,
-      'center right' : 7,
-      'lower center' : 8,
-      'upper center' : 9,
-      'center'       : 10,
-
-    loc can be a tuple of the normalized coordinate values with
-    respect its parent.
-
+    Place a legend on the figure/axes.
     """
-    codes = {'best':         0,  # only implemented for axis legends
-             'upper right':  1,
-             'upper left':   2,
-             'lower left':   3,
-             'lower right':  4,
-             'right':        5,
-             'center left':  6,
-             'center right': 7,
-             'lower center': 8,
-             'upper center': 9,
-             'center':       10,
-             }
 
+    # 'best' is only implemented for Axes legends
+    codes = {'best': 0, **AnchoredOffsetbox.codes}
     zorder = 5
 
     def __str__(self):
         return "Legend"
 
-    def __init__(self, parent, handles, labels,
-                 loc=None,
-                 numpoints=None,    # the number of points in the legend line
-                 markerscale=None,  # the relative size of legend markers
-                                    # vs. original
-                 markerfirst=True,  # controls ordering (left-to-right) of
-                                    # legend marker and label
-                 scatterpoints=None,    # number of scatter points
-                 scatteryoffsets=None,
-                 prop=None,          # properties for the legend texts
-                 fontsize=None,        # keyword to set font size directly
-
-                 # spacing & pad defined as a fraction of the font-size
-                 borderpad=None,      # the whitespace inside the legend border
-                 labelspacing=None,   # the vertical space between the legend
-                                      # entries
-                 handlelength=None,   # the length of the legend handles
-                 handleheight=None,   # the height of the legend handles
-                 handletextpad=None,  # the pad between the legend handle
-                                      # and text
-                 borderaxespad=None,  # the pad between the axes and legend
-                                      # border
-                 columnspacing=None,  # spacing between columns
-
-                 ncol=1,     # number of columns
-                 mode=None,  # mode for horizontal distribution of columns.
-                             # None, "expand"
-
-                 fancybox=None,  # True use a fancy box, false use a rounded
-                                 # box, none use rc
-                 shadow=None,
-                 title=None,  # set a title for the legend
-
-                 framealpha=None,  # set frame alpha
-
-                 bbox_to_anchor=None,  # bbox that the legend will be anchored.
-                 bbox_transform=None,  # transform for the bbox
-                 frameon=None,  # draw frame
-                 handler_map=None,
-                 ):
+    @_docstring.interpd
+    def __init__(
+        self, parent, handles, labels,
+        *,
+        loc=None,
+        numpoints=None,      # number of points in the legend line
+        markerscale=None,    # relative size of legend markers vs. original
+        markerfirst=True,    # left/right ordering of legend marker and label
+        reverse=False,       # reverse ordering of legend marker and label
+        scatterpoints=None,  # number of scatter points
+        scatteryoffsets=None,
+        prop=None,           # properties for the legend texts
+        fontsize=None,       # keyword to set font size directly
+        labelcolor=None,     # keyword to set the text color
+
+        # spacing & pad defined as a fraction of the font-size
+        borderpad=None,      # whitespace inside the legend border
+        labelspacing=None,   # vertical space between the legend entries
+        handlelength=None,   # length of the legend handles
+        handleheight=None,   # height of the legend handles
+        handletextpad=None,  # pad between the legend handle and text
+        borderaxespad=None,  # pad between the Axes and legend border
+        columnspacing=None,  # spacing between columns
+
+        ncols=1,     # number of columns
+        mode=None,  # horizontal distribution of columns: None or "expand"
+
+        fancybox=None,  # True: fancy box, False: rounded box, None: rcParam
+        shadow=None,
+        title=None,           # legend title
+        title_fontsize=None,  # legend title font size
+        framealpha=None,      # set frame alpha
+        edgecolor=None,       # frame patch edgecolor
+        facecolor=None,       # frame patch facecolor
+
+        bbox_to_anchor=None,  # bbox to which the legend will be anchored
+        bbox_transform=None,  # transform for the bbox
+        frameon=None,         # draw frame
+        handler_map=None,
+        title_fontproperties=None,  # properties for the legend title
+        alignment="center",       # control the alignment within the legend box
+        ncol=1,  # synonym for ncols (backward compatibility)
+        draggable=False  # whether the legend can be dragged with the mouse
+    ):
         """
-        - *parent*: the artist that contains the legend
-        - *handles*: a list of artists (lines, patches) to be added to the
-                      legend
-        - *labels*: a list of strings to label the legend
-
-        Optional keyword arguments:
-
-        ================   ====================================================
-        Keyword            Description
-        ================   ====================================================
-        loc                a location code
-        prop               the font property
-        fontsize           the font size (used only if prop is not specified)
-        markerscale        the relative size of legend markers vs. original
-        markerfirst        If true, place legend marker to left of label
-                           If false, place legend marker to right of label
-        numpoints          the number of points in the legend for line
-        scatterpoints      the number of points in the legend for scatter plot
-        scatteryoffsets    a list of yoffsets for scatter symbols in legend
-        frameon            if True, draw a frame around the legend.
-                           If None, use rc
-        fancybox           if True, draw a frame with a round fancybox.
-                           If None, use rc
-        shadow             if True, draw a shadow behind legend
-        framealpha         If not None, alpha channel for the frame.
-        ncol               number of columns
-        borderpad          the fractional whitespace inside the legend border
-        labelspacing       the vertical space between the legend entries
-        handlelength       the length of the legend handles
-        handleheight       the height of the legend handles
-        handletextpad      the pad between the legend handle and text
-        borderaxespad      the pad between the axes and legend border
-        columnspacing      the spacing between columns
-        title              the legend title
-        bbox_to_anchor     the bbox that the legend will be anchored.
-        bbox_transform     the transform for the bbox. transAxes if None.
-        ================   ====================================================
-
-
-        The pad and spacing parameters are measured in font-size units.  e.g.,
-        a fontsize of 10 points and a handlelength=5 implies a handlelength of
-        50 points.  Values from rcParams will be used if None.
-
-        Users can specify any arbitrary location for the legend using the
-        *bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
-        of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
-        See :meth:`set_bbox_to_anchor` for more detail.
-
-        The legend location can be specified by setting *loc* with a tuple of
-        2 floats, which is interpreted as the lower-left corner of the legend
-        in the normalized axes coordinate.
+        Parameters
+        ----------
+        parent : `~matplotlib.axes.Axes` or `.Figure`
+            The artist that contains the legend.
+
+        handles : list of (`.Artist` or tuple of `.Artist`)
+            A list of Artists (lines, patches) to be added to the legend.
+
+        labels : list of str
+            A list of labels to show next to the artists. The length of handles
+            and labels should be the same. If they are not, they are truncated
+            to the length of the shorter list.
+
+        Other Parameters
+        ----------------
+        %(_legend_kw_doc)s
+
+        Attributes
+        ----------
+        legend_handles
+            List of `.Artist` objects added as legend entries.
+
+            .. versionadded:: 3.7
         """
         # local import only to avoid circularity
         from matplotlib.axes import Axes
-        from matplotlib.figure import Figure
+        from matplotlib.figure import FigureBase
 
-        Artist.__init__(self)
+        super().__init__()
 
         if prop is None:
-            if fontsize is not None:
-                self.prop = FontProperties(size=fontsize)
-            else:
-                self.prop = FontProperties(size=rcParams["legend.fontsize"])
-        elif isinstance(prop, dict):
-            self.prop = FontProperties(**prop)
-            if "size" not in prop:
-                self.prop.set_size(rcParams["legend.fontsize"])
+            self.prop = FontProperties(size=mpl._val_or_rc(fontsize, "legend.fontsize"))
         else:
-            self.prop = prop
+            self.prop = FontProperties._from_any(prop)
+            if isinstance(prop, dict) and "size" not in prop:
+                self.prop.set_size(mpl.rcParams["legend.fontsize"])
 
         self._fontsize = self.prop.get_size_in_points()
 
         self.texts = []
-        self.legendHandles = []
+        self.legend_handles = []
         self._legend_title_box = None
 
         #: A dictionary with the extra handler mappings for this Legend
         #: instance.
         self._custom_handler_map = handler_map
 
-        locals_view = locals()
-        for name in ["numpoints", "markerscale", "shadow", "columnspacing",
-                     "scatterpoints", "handleheight", 'borderpad',
-                     'labelspacing', 'handlelength', 'handletextpad',
-                     'borderaxespad']:
-            if locals_view[name] is None:
-                value = rcParams["legend." + name]
-            else:
-                value = locals_view[name]
-            setattr(self, name, value)
-        del locals_view
+        self.numpoints = mpl._val_or_rc(numpoints, 'legend.numpoints')
+        self.markerscale = mpl._val_or_rc(markerscale, 'legend.markerscale')
+        self.scatterpoints = mpl._val_or_rc(scatterpoints, 'legend.scatterpoints')
+        self.borderpad = mpl._val_or_rc(borderpad, 'legend.borderpad')
+        self.labelspacing = mpl._val_or_rc(labelspacing, 'legend.labelspacing')
+        self.handlelength = mpl._val_or_rc(handlelength, 'legend.handlelength')
+        self.handleheight = mpl._val_or_rc(handleheight, 'legend.handleheight')
+        self.handletextpad = mpl._val_or_rc(handletextpad, 'legend.handletextpad')
+        self.borderaxespad = mpl._val_or_rc(borderaxespad, 'legend.borderaxespad')
+        self.columnspacing = mpl._val_or_rc(columnspacing, 'legend.columnspacing')
+        self.shadow = mpl._val_or_rc(shadow, 'legend.shadow')
+
+        if reverse:
+            labels = [*reversed(labels)]
+            handles = [*reversed(handles)]
 
         handles = list(handles)
         if len(handles) < 2:
-            ncol = 1
-        self._ncol = ncol
+            ncols = 1
+        self._ncols = ncols if ncols != 1 else ncol
 
         if self.numpoints <= 0:
             raise ValueError("numpoints must be > 0; it was %d" % numpoints)
@@ -293,162 +472,277 @@ def __init__(self, parent, handles, labels,
             self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
         else:
             self._scatteryoffsets = np.asarray(scatteryoffsets)
-        reps = int(self.scatterpoints / len(self._scatteryoffsets)) + 1
+        reps = self.scatterpoints // len(self._scatteryoffsets) + 1
         self._scatteryoffsets = np.tile(self._scatteryoffsets,
                                         reps)[:self.scatterpoints]
 
-        # _legend_box is an OffsetBox instance that contains all
+        # _legend_box is a VPacker instance that contains all
         # legend items and will be initialized from _init_legend_box()
         # method.
         self._legend_box = None
 
         if isinstance(parent, Axes):
             self.isaxes = True
-            self.set_axes(parent)
-            self.set_figure(parent.figure)
-        elif isinstance(parent, Figure):
+            self.axes = parent
+            self.set_figure(parent.get_figure(root=False))
+        elif isinstance(parent, FigureBase):
             self.isaxes = False
             self.set_figure(parent)
         else:
-            raise TypeError("Legend needs either Axes or Figure as parent")
+            raise TypeError(
+                "Legend needs either Axes or FigureBase as parent"
+            )
         self.parent = parent
 
-        if loc is None:
-            loc = rcParams["legend.loc"]
-            if not self.isaxes and loc in [0, 'best']:
-                loc = 'upper right'
-        if is_string_like(loc):
-            if loc not in self.codes:
-                if self.isaxes:
-                    warnings.warn('Unrecognized location "%s". Falling back '
-                                  'on "best"; valid locations are\n\t%s\n'
-                                  % (loc, '\n\t'.join(
-                                    six.iterkeys(self.codes))))
-                    loc = 0
-                else:
-                    warnings.warn('Unrecognized location "%s". Falling back '
-                                  'on "upper right"; '
-                                  'valid locations are\n\t%s\n'
-                                  % (loc, '\n\t'.join(
-                                    six.iterkeys(self.codes))))
-                    loc = 1
-            else:
-                loc = self.codes[loc]
-        if not self.isaxes and loc == 0:
-            warnings.warn('Automatic legend placement (loc="best") not '
-                          'implemented for figure legend. '
-                          'Falling back on "upper right".')
-            loc = 1
-
         self._mode = mode
         self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
 
+        # Figure out if self.shadow is valid
+        # If shadow was None, rcParams loads False
+        # So it shouldn't be None here
+
+        self._shadow_props = {'ox': 2, 'oy': -2}  # default location offsets
+        if isinstance(self.shadow, dict):
+            self._shadow_props.update(self.shadow)
+            self.shadow = True
+        elif self.shadow in (0, 1, True, False):
+            self.shadow = bool(self.shadow)
+        else:
+            raise ValueError(
+                'Legend shadow must be a dict or bool, not '
+                f'{self.shadow!r} of type {type(self.shadow)}.'
+            )
+
         # We use FancyBboxPatch to draw a legend frame. The location
         # and size of the box will be updated during the drawing time.
 
-        self.legendPatch = FancyBboxPatch(
-            xy=(0.0, 0.0), width=1., height=1.,
-            facecolor=rcParams["axes.facecolor"],
-            edgecolor=rcParams["axes.edgecolor"],
-            mutation_scale=self._fontsize,
-            snap=True
-            )
+        facecolor = mpl._val_or_rc(facecolor, "legend.facecolor")
+        if facecolor == 'inherit':
+            facecolor = mpl.rcParams["axes.facecolor"]
 
-        # The width and height of the legendPatch will be set (in the
-        # draw()) to the length that includes the padding. Thus we set
-        # pad=0 here.
-        if fancybox is None:
-            fancybox = rcParams["legend.fancybox"]
+        edgecolor = mpl._val_or_rc(edgecolor, "legend.edgecolor")
+        if edgecolor == 'inherit':
+            edgecolor = mpl.rcParams["axes.edgecolor"]
 
-        if fancybox:
-            self.legendPatch.set_boxstyle("round", pad=0,
-                                          rounding_size=0.2)
-        else:
-            self.legendPatch.set_boxstyle("square", pad=0)
+        fancybox = mpl._val_or_rc(fancybox, "legend.fancybox")
 
+        self.legendPatch = FancyBboxPatch(
+            xy=(0, 0), width=1, height=1,
+            facecolor=facecolor, edgecolor=edgecolor,
+            # If shadow is used, default to alpha=1 (#8943).
+            alpha=(framealpha if framealpha is not None
+                   else 1 if shadow
+                   else mpl.rcParams["legend.framealpha"]),
+            # The width and height of the legendPatch will be set (in draw())
+            # to the length that includes the padding. Thus we set pad=0 here.
+            boxstyle=("round,pad=0,rounding_size=0.2" if fancybox
+                      else "square,pad=0"),
+            mutation_scale=self._fontsize,
+            snap=True,
+            visible=mpl._val_or_rc(frameon, "legend.frameon")
+        )
         self._set_artist_props(self.legendPatch)
 
-        self._drawFrame = frameon
-        if frameon is None:
-            self._drawFrame = rcParams["legend.frameon"]
+        _api.check_in_list(["center", "left", "right"], alignment=alignment)
+        self._alignment = alignment
 
         # init with null renderer
         self._init_legend_box(handles, labels, markerfirst)
 
-        if framealpha is None:
-            self.get_frame().set_alpha(rcParams["legend.framealpha"])
-        else:
-            self.get_frame().set_alpha(framealpha)
+        # Set legend location
+        self.set_loc(loc)
+
+        # figure out title font properties:
+        if title_fontsize is not None and title_fontproperties is not None:
+            raise ValueError(
+                "title_fontsize and title_fontproperties can't be specified "
+                "at the same time. Only use one of them. ")
+        title_prop_fp = FontProperties._from_any(title_fontproperties)
+        if isinstance(title_fontproperties, dict):
+            if "size" not in title_fontproperties:
+                title_fontsize = mpl.rcParams["legend.title_fontsize"]
+                title_prop_fp.set_size(title_fontsize)
+        elif title_fontsize is not None:
+            title_prop_fp.set_size(title_fontsize)
+        elif not isinstance(title_fontproperties, FontProperties):
+            title_fontsize = mpl.rcParams["legend.title_fontsize"]
+            title_prop_fp.set_size(title_fontsize)
+
+        self.set_title(title, prop=title_prop_fp)
 
-        self._loc = loc
-        self.set_title(title)
-        self._last_fontsize_points = self._fontsize
         self._draggable = None
+        self.set_draggable(state=draggable)
+
+        # set the text color
+
+        color_getters = {  # getter function depends on line or patch
+            'linecolor':       ['get_color',           'get_facecolor'],
+            'markerfacecolor': ['get_markerfacecolor', 'get_facecolor'],
+            'mfc':             ['get_markerfacecolor', 'get_facecolor'],
+            'markeredgecolor': ['get_markeredgecolor', 'get_edgecolor'],
+            'mec':             ['get_markeredgecolor', 'get_edgecolor'],
+        }
+        labelcolor = mpl._val_or_rc(mpl._val_or_rc(labelcolor, 'legend.labelcolor'),
+                                    'text.color')
+        if isinstance(labelcolor, str) and labelcolor in color_getters:
+            getter_names = color_getters[labelcolor]
+            for handle, text in zip(self.legend_handles, self.texts):
+                try:
+                    if handle.get_array() is not None:
+                        continue
+                except AttributeError:
+                    pass
+                for getter_name in getter_names:
+                    try:
+                        color = getattr(handle, getter_name)()
+                        if isinstance(color, np.ndarray):
+                            if (
+                                    color.shape[0] == 1
+                                    or np.isclose(color, color[0]).all()
+                            ):
+                                text.set_color(color[0])
+                            else:
+                                pass
+                        else:
+                            text.set_color(color)
+                        break
+                    except AttributeError:
+                        pass
+        elif cbook._str_equal(labelcolor, 'none'):
+            for text in self.texts:
+                text.set_color(labelcolor)
+        elif np.iterable(labelcolor):
+            for text, color in zip(self.texts,
+                                   itertools.cycle(
+                                       colors.to_rgba_array(labelcolor))):
+                text.set_color(color)
+        else:
+            raise ValueError(f"Invalid labelcolor: {labelcolor!r}")
 
     def _set_artist_props(self, a):
         """
-        set the boilerplate props for artists added to axes
+        Set the boilerplate props for artists added to Axes.
         """
-        a.set_figure(self.figure)
+        a.set_figure(self.get_figure(root=False))
         if self.isaxes:
-            a.set_axes(self.axes)
+            a.axes = self.axes
+
         a.set_transform(self.get_transform())
 
+    @_docstring.interpd
+    def set_loc(self, loc=None):
+        """
+        Set the location of the legend.
+
+        .. versionadded:: 3.8
+
+        Parameters
+        ----------
+        %(_legend_kw_set_loc_doc)s
+        """
+        loc0 = loc
+        self._loc_used_default = loc is None
+        if loc is None:
+            loc = mpl.rcParams["legend.loc"]
+            if not self.isaxes and loc in [0, 'best']:
+                loc = 'upper right'
+
+        type_err_message = ("loc must be string, coordinate tuple, or"
+                            f" an integer 0-10, not {loc!r}")
+
+        # handle outside legends:
+        self._outside_loc = None
+        if isinstance(loc, str):
+            if loc.split()[0] == 'outside':
+                # strip outside:
+                loc = loc.split('outside ')[1]
+                # strip "center" at the beginning
+                self._outside_loc = loc.replace('center ', '')
+                # strip first
+                self._outside_loc = self._outside_loc.split()[0]
+                locs = loc.split()
+                if len(locs) > 1 and locs[0] in ('right', 'left'):
+                    # locs doesn't accept "left upper", etc, so swap
+                    if locs[0] != 'center':
+                        locs = locs[::-1]
+                    loc = locs[0] + ' ' + locs[1]
+            # check that loc is in acceptable strings
+            loc = _api.check_getitem(self.codes, loc=loc)
+        elif np.iterable(loc):
+            # coerce iterable into tuple
+            loc = tuple(loc)
+            # validate the tuple represents Real coordinates
+            if len(loc) != 2 or not all(isinstance(e, numbers.Real) for e in loc):
+                raise ValueError(type_err_message)
+        elif isinstance(loc, int):
+            # validate the integer represents a string numeric value
+            if loc < 0 or loc > 10:
+                raise ValueError(type_err_message)
+        else:
+            # all other cases are invalid values of loc
+            raise ValueError(type_err_message)
+
+        if self.isaxes and self._outside_loc:
+            raise ValueError(
+                f"'outside' option for loc='{loc0}' keyword argument only "
+                "works for figure legends")
+
+        if not self.isaxes and loc == 0:
+            raise ValueError(
+                "Automatic legend placement (loc='best') not implemented for "
+                "figure legend")
+
+        tmp = self._loc_used_default
+        self._set_loc(loc)
+        self._loc_used_default = tmp  # ignore changes done by _set_loc
+
     def _set_loc(self, loc):
         # find_offset function will be provided to _legend_box and
         # _legend_box will draw itself at the location of the return
         # value of the find_offset.
+        self._loc_used_default = False
         self._loc_real = loc
-        if loc == 0:
-            _findoffset = self._findoffset_best
-        else:
-            _findoffset = self._findoffset_loc
-
-#       def findoffset(width, height, xdescent, ydescent):
-#           return _findoffset(width, height, xdescent, ydescent, renderer)
+        self.stale = True
+        self._legend_box.set_offset(self._findoffset)
 
-        self._legend_box.set_offset(_findoffset)
-
-        self._loc_real = loc
+    def set_ncols(self, ncols):
+        """Set the number of columns."""
+        self._ncols = ncols
 
     def _get_loc(self):
         return self._loc_real
 
     _loc = property(_get_loc, _set_loc)
 
-    def _findoffset_best(self, width, height, xdescent, ydescent, renderer):
-        "Helper function to locate the legend at its best position"
-        ox, oy = self._find_best_position(width, height, renderer)
-        return ox + xdescent, oy + ydescent
+    def _findoffset(self, width, height, xdescent, ydescent, renderer):
+        """Helper function to locate the legend."""
 
-    def _findoffset_loc(self, width, height, xdescent, ydescent, renderer):
-        "Helper function to locate the legend using the location code"
-
-        if iterable(self._loc) and len(self._loc) == 2:
-            # when loc is a tuple of axes(or figure) coordinates.
-            fx, fy = self._loc
-            bbox = self.get_bbox_to_anchor()
-            x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
-        else:
+        if self._loc == 0:  # "best".
+            x, y = self._find_best_position(width, height, renderer)
+        elif self._loc in Legend.codes.values():  # Fixed location.
             bbox = Bbox.from_bounds(0, 0, width, height)
             x, y = self._get_anchored_bbox(self._loc, bbox,
                                            self.get_bbox_to_anchor(),
                                            renderer)
+        else:  # Axes or figure coordinates.
+            fx, fy = self._loc
+            bbox = self.get_bbox_to_anchor()
+            x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
 
         return x + xdescent, y + ydescent
 
     @allow_rasterization
     def draw(self, renderer):
-        "Draw everything that belongs to the legend"
+        # docstring inherited
         if not self.get_visible():
             return
 
-        renderer.open_group('legend')
+        renderer.open_group('legend', gid=self.get_gid())
 
         fontsize = renderer.points_to_pixels(self._fontsize)
 
         # if mode == fill, set the width of the legend_box to the
-        # width of the paret (minus pads)
+        # width of the parent (minus pads)
         if self._mode in ["expand"]:
             pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
             self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
@@ -456,30 +750,20 @@ def draw(self, renderer):
         # update the location and size of the legend. This needs to
         # be done in any case to clip the figure right.
         bbox = self._legend_box.get_window_extent(renderer)
-        self.legendPatch.set_bounds(bbox.x0, bbox.y0,
-                                    bbox.width, bbox.height)
+        self.legendPatch.set_bounds(bbox.bounds)
         self.legendPatch.set_mutation_scale(fontsize)
 
-        if self._drawFrame:
-            if self.shadow:
-                shadow = Shadow(self.legendPatch, 2, -2)
-                shadow.draw(renderer)
+        # self.shadow is validated in __init__
+        # So by here it is a bool and self._shadow_props contains any configs
 
-            self.legendPatch.draw(renderer)
+        if self.shadow:
+            Shadow(self.legendPatch, **self._shadow_props).draw(renderer)
 
+        self.legendPatch.draw(renderer)
         self._legend_box.draw(renderer)
 
         renderer.close_group('legend')
-
-    def _approx_text_height(self, renderer=None):
-        """
-        Return the approximate height of the text. This is used to place
-        the legend handle.
-        """
-        if renderer is None:
-            return self._fontsize
-        else:
-            return renderer.points_to_pixels(self._fontsize)
+        self.stale = False
 
     # _default_handler_map defines the default mapping between plot
     # elements and the legend handlers.
@@ -489,6 +773,7 @@ def _approx_text_height(self, renderer=None):
         ErrorbarContainer: legend_handler.HandlerErrorbar(),
         Line2D: legend_handler.HandlerLine2D(),
         Patch: legend_handler.HandlerPatch(),
+        StepPatch: legend_handler.HandlerStepPatch(),
         LineCollection: legend_handler.HandlerLineCollection(),
         RegularPolyCollection: legend_handler.HandlerRegularPolyCollection(),
         CircleCollection: legend_handler.HandlerCircleCollection(),
@@ -504,67 +789,50 @@ def _approx_text_height(self, renderer=None):
 
     @classmethod
     def get_default_handler_map(cls):
-        """
-        A class method that returns the default handler map.
-        """
+        """Return the global default handler map, shared by all legends."""
         return cls._default_handler_map
 
     @classmethod
     def set_default_handler_map(cls, handler_map):
-        """
-        A class method to set the default handler map.
-        """
+        """Set the global default handler map, shared by all legends."""
         cls._default_handler_map = handler_map
 
     @classmethod
     def update_default_handler_map(cls, handler_map):
-        """
-        A class method to update the default handler map.
-        """
+        """Update the global default handler map, shared by all legends."""
         cls._default_handler_map.update(handler_map)
 
     def get_legend_handler_map(self):
-        """
-        return the handler map.
-        """
-
+        """Return this legend instance's handler map."""
         default_handler_map = self.get_default_handler_map()
-
-        if self._custom_handler_map:
-            hm = default_handler_map.copy()
-            hm.update(self._custom_handler_map)
-            return hm
-        else:
-            return default_handler_map
+        return ({**default_handler_map, **self._custom_handler_map}
+                if self._custom_handler_map else default_handler_map)
 
     @staticmethod
     def get_legend_handler(legend_handler_map, orig_handle):
         """
-        return a legend handler from *legend_handler_map* that
+        Return a legend handler from *legend_handler_map* that
         corresponds to *orig_handler*.
 
         *legend_handler_map* should be a dictionary object (that is
         returned by the get_legend_handler_map method).
 
         It first checks if the *orig_handle* itself is a key in the
-        *legend_hanler_map* and return the associated value.
+        *legend_handler_map* and return the associated value.
         Otherwise, it checks for each of the classes in its
         method-resolution-order. If no matching key is found, it
-        returns None.
+        returns ``None``.
         """
-        legend_handler_keys = list(six.iterkeys(legend_handler_map))
-        if orig_handle in legend_handler_keys:
-            handler = legend_handler_map[orig_handle]
-        else:
-
-            for handle_type in type(orig_handle).mro():
-                if handle_type in legend_handler_map:
-                    handler = legend_handler_map[handle_type]
-                    break
-            else:
-                handler = None
-
-        return handler
+        try:
+            return legend_handler_map[orig_handle]
+        except (TypeError, KeyError):  # TypeError if unhashable.
+            pass
+        for handle_type in type(orig_handle).mro():
+            try:
+                return legend_handler_map[handle_type]
+            except KeyError:
+                pass
+        return None
 
     def _init_legend_box(self, handles, labels, markerfirst=True):
         """
@@ -576,131 +844,80 @@ def _init_legend_box(self, handles, labels, markerfirst=True):
 
         fontsize = self._fontsize
 
-        # legend_box is a HPacker, horizontally packed with
-        # columns. Each column is a VPacker, vertically packed with
-        # legend items. Each legend item is HPacker packed with
-        # legend handleBox and labelBox. handleBox is an instance of
-        # offsetbox.DrawingArea which contains legend handle. labelBox
-        # is an instance of offsetbox.TextArea which contains legend
-        # text.
+        # legend_box is a HPacker, horizontally packed with columns.
+        # Each column is a VPacker, vertically packed with legend items.
+        # Each legend item is a HPacker packed with:
+        # - handlebox: a DrawingArea which contains the legend handle.
+        # - labelbox: a TextArea which contains the legend text.
 
         text_list = []  # the list of text instances
-        handle_list = []  # the list of text instances
-
-        label_prop = dict(verticalalignment='baseline',
-                          horizontalalignment='left',
-                          fontproperties=self.prop,
-                          )
-
-        labelboxes = []
-        handleboxes = []
+        handle_list = []  # the list of handle instances
+        handles_and_labels = []
 
         # The approximate height and descent of text. These values are
         # only used for plotting the legend handle.
-        descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
-        # 0.35 and 0.7 are just heuristic numbers and may need to be improved.
-        height = self._approx_text_height() * self.handleheight - descent
+        descent = 0.35 * fontsize * (self.handleheight - 0.7)  # heuristic.
+        height = fontsize * self.handleheight - descent
         # each handle needs to be drawn inside a box of (x, y, w, h) =
         # (0, -descent, width, height).  And their coordinates should
         # be given in the display coordinates.
 
         # The transformation of each handle will be automatically set
-        # to self.get_trasnform(). If the artist does not use its
+        # to self.get_transform(). If the artist does not use its
         # default transform (e.g., Collections), you need to
         # manually set their transform to the self.get_transform().
         legend_handler_map = self.get_legend_handler_map()
 
-        for orig_handle, lab in zip(handles, labels):
+        for orig_handle, label in zip(handles, labels):
             handler = self.get_legend_handler(legend_handler_map, orig_handle)
             if handler is None:
-                warnings.warn(
-                    "Legend does not support {!r} instances.\nA proxy artist "
-                    "may be used instead.\nSee: "
-                    "http://matplotlib.org/users/legend_guide.html"
-                    "#using-proxy-artist".format(orig_handle)
-                )
-                # We don't have a handle for this artist, so we just defer
-                # to None.
+                _api.warn_external(
+                             "Legend does not support handles for "
+                             f"{type(orig_handle).__name__} "
+                             "instances.\nA proxy artist may be used "
+                             "instead.\nSee: https://matplotlib.org/"
+                             "stable/users/explain/axes/legend_guide.html"
+                             "#controlling-the-legend-entries")
+                # No handle for this artist, so we just defer to None.
                 handle_list.append(None)
             else:
-                textbox = TextArea(lab, textprops=label_prop,
-                                   multilinebaseline=True,
-                                   minimumdescent=True)
-                text_list.append(textbox._text)
-
-                labelboxes.append(textbox)
-
+                textbox = TextArea(label, multilinebaseline=True,
+                                   textprops=dict(
+                                       verticalalignment='baseline',
+                                       horizontalalignment='left',
+                                       fontproperties=self.prop))
                 handlebox = DrawingArea(width=self.handlelength * fontsize,
                                         height=height,
                                         xdescent=0., ydescent=descent)
-                handleboxes.append(handlebox)
-
-                # Deprecate the old behaviour of accepting callable
-                # legend handlers in favour of the "legend_artist"
-                # interface.
-                if (not hasattr(handler, 'legend_artist') and
-                        callable(handler)):
-                    handler.legend_artist = handler.__call__
-                    warn_deprecated('1.4',
-                                    ('Legend handers must now implement a '
-                                     '"legend_artist" method rather than '
-                                     'being a callable.'))
 
+                text_list.append(textbox._text)
                 # Create the artist for the legend which represents the
                 # original artist/handle.
                 handle_list.append(handler.legend_artist(self, orig_handle,
                                                          fontsize, handlebox))
+                handles_and_labels.append((handlebox, textbox))
 
-        if len(handleboxes) > 0:
-
-            # We calculate number of rows in each column. The first
-            # (num_largecol) columns will have (nrows+1) rows, and remaining
-            # (num_smallcol) columns will have (nrows) rows.
-            ncol = min(self._ncol, len(handleboxes))
-            nrows, num_largecol = divmod(len(handleboxes), ncol)
-            num_smallcol = ncol - num_largecol
-
-            # starting index of each column and number of rows in it.
-            largecol = safezip(list(xrange(0,
-                                           num_largecol * (nrows + 1),
-                                           (nrows + 1))),
-                               [nrows + 1] * num_largecol)
-            smallcol = safezip(list(xrange(num_largecol * (nrows + 1),
-                                           len(handleboxes), nrows)),
-                               [nrows] * num_smallcol)
-        else:
-            largecol, smallcol = [], []
-
-        handle_label = safezip(handleboxes, labelboxes)
         columnbox = []
-        for i0, di in largecol + smallcol:
-            # pack handleBox and labelBox into itemBox
-            itemBoxes = [HPacker(pad=0,
+        # array_split splits n handles_and_labels into ncols columns, with the
+        # first n%ncols columns having an extra entry.  filter(len, ...)
+        # handles the case where n < ncols: the last ncols-n columns are empty
+        # and get filtered out.
+        for handles_and_labels_column in filter(
+                len, np.array_split(handles_and_labels, self._ncols)):
+            # pack handlebox and labelbox into itembox
+            itemboxes = [HPacker(pad=0,
                                  sep=self.handletextpad * fontsize,
                                  children=[h, t] if markerfirst else [t, h],
                                  align="baseline")
-                         for h, t in handle_label[i0:i0 + di]]
-            # minimumdescent=False for the text of the last row of the column
-            if markerfirst:
-                itemBoxes[-1].get_children()[1].set_minimumdescent(False)
-            else:
-                itemBoxes[-1].get_children()[0].set_minimumdescent(False)
-
-            # pack columnBox
-            if markerfirst:
-                alignment = "baseline"
-            else:
-                alignment = "right"
+                         for h, t in handles_and_labels_column]
+            # pack columnbox
+            alignment = "baseline" if markerfirst else "right"
             columnbox.append(VPacker(pad=0,
                                      sep=self.labelspacing * fontsize,
                                      align=alignment,
-                                     children=itemBoxes))
-
-        if self._mode == "expand":
-            mode = "expand"
-        else:
-            mode = "fixed"
+                                     children=itemboxes))
 
+        mode = "expand" if self._mode == "expand" else "fixed"
         sep = self.columnspacing * fontsize
         self._legend_handle_box = HPacker(pad=0,
                                           sep=sep, align="baseline",
@@ -709,131 +926,157 @@ def _init_legend_box(self, handles, labels, markerfirst=True):
         self._legend_title_box = TextArea("")
         self._legend_box = VPacker(pad=self.borderpad * fontsize,
                                    sep=self.labelspacing * fontsize,
-                                   align="center",
+                                   align=self._alignment,
                                    children=[self._legend_title_box,
                                              self._legend_handle_box])
-        self._legend_box.set_figure(self.figure)
+        self._legend_box.set_figure(self.get_figure(root=False))
+        self._legend_box.axes = self.axes
         self.texts = text_list
-        self.legendHandles = handle_list
+        self.legend_handles = handle_list
 
-    def _auto_legend_data(self):
+    def _auto_legend_data(self, renderer):
         """
-        Returns list of vertices and extents covered by the plot.
-
-        Returns a two long list.
-
-        First element is a list of (x, y) vertices (in
-        display-coordinates) covered by all the lines and line
-        collections, in the legend's handles.
-
-        Second element is a list of bounding boxes for all the patches in
-        the legend's handles.
+        Return display coordinates for hit testing for "best" positioning.
+
+        Returns
+        -------
+        bboxes
+            List of bounding boxes of all patches.
+        lines
+            List of `.Path` corresponding to each line.
+        offsets
+            List of (x, y) offsets of all collection.
         """
-        # should always hold because function is only called internally
-        assert self.isaxes
-
-        ax = self.parent
+        assert self.isaxes  # always holds, as this is only called internally
         bboxes = []
         lines = []
-
-        for handle in ax.lines:
-            assert isinstance(handle, Line2D)
-            path = handle.get_path()
-            trans = handle.get_transform()
-            tpath = trans.transform_path(path)
-            lines.append(tpath)
-
-        for handle in ax.patches:
-            assert isinstance(handle, Patch)
-
-            if isinstance(handle, Rectangle):
-                transform = handle.get_data_transform()
-                bboxes.append(handle.get_bbox().transformed(transform))
-            else:
-                transform = handle.get_transform()
-                bboxes.append(handle.get_path().get_extents(transform))
-
-        try:
-            vertices = np.concatenate([l.vertices for l in lines])
-        except ValueError:
-            vertices = np.array([])
-
-        return [vertices, bboxes, lines]
-
-    def draw_frame(self, b):
-        'b is a boolean.  Set draw frame to b'
-        self.set_frame_on(b)
+        offsets = []
+        for artist in self.parent._children:
+            if isinstance(artist, Line2D):
+                lines.append(
+                    artist.get_transform().transform_path(artist.get_path()))
+            elif isinstance(artist, Rectangle):
+                bboxes.append(
+                    artist.get_bbox().transformed(artist.get_data_transform()))
+            elif isinstance(artist, Patch):
+                lines.append(
+                    artist.get_transform().transform_path(artist.get_path()))
+            elif isinstance(artist, PolyCollection):
+                lines.extend(artist.get_transform().transform_path(path)
+                             for path in artist.get_paths())
+            elif isinstance(artist, Collection):
+                transform, transOffset, hoffsets, _ = artist._prepare_points()
+                if len(hoffsets):
+                    offsets.extend(transOffset.transform(hoffsets))
+            elif isinstance(artist, Text):
+                bboxes.append(artist.get_window_extent(renderer))
+
+        return bboxes, lines, offsets
 
     def get_children(self):
-        'return a list of child artists'
-        children = []
-        if self._legend_box:
-            children.append(self._legend_box)
-        children.append(self.get_frame())
-
-        return children
+        # docstring inherited
+        return [self._legend_box, self.get_frame()]
 
     def get_frame(self):
-        'return the Rectangle instance used to frame the legend'
+        """Return the `~.patches.Rectangle` used to frame the legend."""
         return self.legendPatch
 
     def get_lines(self):
-        'return a list of lines.Line2D instances in the legend'
-        return [h for h in self.legendHandles if isinstance(h, Line2D)]
+        r"""Return the list of `~.lines.Line2D`\s in the legend."""
+        return [h for h in self.legend_handles if isinstance(h, Line2D)]
 
     def get_patches(self):
-        'return a list of patch instances in the legend'
+        r"""Return the list of `~.patches.Patch`\s in the legend."""
         return silent_list('Patch',
-                           [h for h in self.legendHandles
+                           [h for h in self.legend_handles
                             if isinstance(h, Patch)])
 
     def get_texts(self):
-        'return a list of text.Text instance in the legend'
+        r"""Return the list of `~.text.Text`\s in the legend."""
         return silent_list('Text', self.texts)
 
-    def set_title(self, title, prop=None):
+    def set_alignment(self, alignment):
+        """
+        Set the alignment of the legend title and the box of entries.
+
+        The entries are aligned as a single block, so that markers always
+        lined up.
+
+        Parameters
+        ----------
+        alignment : {'center', 'left', 'right'}.
+
         """
-        set the legend title. Fontproperties can be optionally set
-        with *prop* parameter.
+        _api.check_in_list(["center", "left", "right"], alignment=alignment)
+        self._alignment = alignment
+        self._legend_box.align = alignment
+
+    def get_alignment(self):
+        """Get the alignment value of the legend box"""
+        return self._legend_box.align
+
+    def set_title(self, title, prop=None):
         """
-        self._legend_title_box._text.set_text(title)
+        Set legend title and title style.
 
-        if prop is not None:
-            if isinstance(prop, dict):
-                prop = FontProperties(**prop)
-            self._legend_title_box._text.set_fontproperties(prop)
+        Parameters
+        ----------
+        title : str
+            The legend title.
 
+        prop : `.font_manager.FontProperties` or `str` or `pathlib.Path`
+            The font properties of the legend title.
+            If a `str`, it is interpreted as a fontconfig pattern parsed by
+            `.FontProperties`.  If a `pathlib.Path`, it is interpreted as the
+            absolute path to a font file.
+
+        """
+        self._legend_title_box._text.set_text(title)
         if title:
+            self._legend_title_box._text.set_visible(True)
             self._legend_title_box.set_visible(True)
         else:
+            self._legend_title_box._text.set_visible(False)
             self._legend_title_box.set_visible(False)
 
+        if prop is not None:
+            self._legend_title_box._text.set_fontproperties(prop)
+
+        self.stale = True
+
     def get_title(self):
-        'return Text instance for the legend title'
+        """Return the `.Text` instance for the legend title."""
         return self._legend_title_box._text
 
-    def get_window_extent(self, *args, **kwargs):
-        'return a extent of the the legend'
-        return self.legendPatch.get_window_extent(*args, **kwargs)
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        return self._legend_box.get_window_extent(renderer=renderer)
+
+    def get_tightbbox(self, renderer=None):
+        # docstring inherited
+        return self._legend_box.get_window_extent(renderer)
 
     def get_frame_on(self):
-        """
-        Get whether the legend box patch is drawn
-        """
-        return self._drawFrame
+        """Get whether the legend box patch is drawn."""
+        return self.legendPatch.get_visible()
 
     def set_frame_on(self, b):
         """
-        Set whether the legend box patch is drawn
+        Set whether the legend box patch is drawn.
 
-        ACCEPTS: [ *True* | *False* ]
+        Parameters
+        ----------
+        b : bool
         """
-        self._drawFrame = b
+        self.legendPatch.set_visible(b)
+        self.stale = True
+
+    draw_frame = set_frame_on  # Backcompat alias.
 
     def get_bbox_to_anchor(self):
-        """
-        return the bbox that the legend will be anchored
-        """
+        """Return the bbox that the legend will be anchored to."""
         if self._bbox_to_anchor is None:
             return self.parent.bbox
         else:
@@ -841,12 +1084,23 @@ def get_bbox_to_anchor(self):
 
     def set_bbox_to_anchor(self, bbox, transform=None):
         """
-        set the bbox that the legend will be anchored.
-
-        *bbox* can be a BboxBase instance, a tuple of [left, bottom,
-        width, height] in the given transform (normalized axes
-        coordinate if None), or a tuple of [left, bottom] where the
-        width and height will be assumed to be zero.
+        Set the bbox that the legend will be anchored to.
+
+        Parameters
+        ----------
+        bbox : `~matplotlib.transforms.BboxBase` or tuple
+            The bounding box can be specified in the following ways:
+
+            - A `.BboxBase` instance
+            - A tuple of ``(left, bottom, width, height)`` in the given
+              transform (normalized axes coordinate if None)
+            - A tuple of ``(left, bottom)`` where the width and height will be
+              assumed to be zero.
+            - *None*, to remove the bbox anchoring, and use the parent bbox.
+
+        transform : `~matplotlib.transforms.Transform`, optional
+            A transform to apply to the bounding box. If not specified, this
+            will use a transform to the bounding box of the parent.
         """
         if bbox is None:
             self._bbox_to_anchor = None
@@ -856,8 +1110,8 @@ def set_bbox_to_anchor(self, bbox, transform=None):
         else:
             try:
                 l = len(bbox)
-            except TypeError:
-                raise ValueError("Invalid argument for bbox : %s" % str(bbox))
+            except TypeError as err:
+                raise ValueError(f"Invalid bbox: {bbox}") from err
 
             if l == 2:
                 bbox = [bbox[0], bbox[1], 0, 0]
@@ -869,129 +1123,91 @@ def set_bbox_to_anchor(self, bbox, transform=None):
 
         self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor,
                                                transform)
+        self.stale = True
 
     def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
         """
         Place the *bbox* inside the *parentbbox* according to a given
-        location code. Return the (x,y) coordinate of the bbox.
-
-        - loc: a location code in range(1, 11).
-          This corresponds to the possible values for self._loc, excluding
-          "best".
-
-        - bbox: bbox to be placed, display coodinate units.
-        - parentbbox: a parent box which will contain the bbox. In
-            display coordinates.
+        location code. Return the (x, y) coordinate of the bbox.
+
+        Parameters
+        ----------
+        loc : int
+            A location code in range(1, 11). This corresponds to the possible
+            values for ``self._loc``, excluding "best".
+        bbox : `~matplotlib.transforms.Bbox`
+            bbox to be placed, in display coordinates.
+        parentbbox : `~matplotlib.transforms.Bbox`
+            A parent box which will contain the bbox, in display coordinates.
         """
-        assert loc in range(1, 11)  # called only internally
-
-        BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = list(xrange(11))
-
-        anchor_coefs = {UR: "NE",
-                        UL: "NW",
-                        LL: "SW",
-                        LR: "SE",
-                        R: "E",
-                        CL: "W",
-                        CR: "E",
-                        LC: "S",
-                        UC: "N",
-                        C: "C"}
-
-        c = anchor_coefs[loc]
+        return offsetbox._get_anchored_bbox(
+            loc, bbox, parentbbox,
+            self.borderaxespad * renderer.points_to_pixels(self._fontsize))
 
-        fontsize = renderer.points_to_pixels(self._fontsize)
-        container = parentbbox.padded(-(self.borderaxespad) * fontsize)
-        anchored_box = bbox.anchored(c, container=container)
-        return anchored_box.x0, anchored_box.y0
-
-    def _find_best_position(self, width, height, renderer, consider=None):
-        """
-        Determine the best location to place the legend.
+    def _find_best_position(self, width, height, renderer):
+        """Determine the best location to place the legend."""
+        assert self.isaxes  # always holds, as this is only called internally
 
-        `consider` is a list of (x, y) pairs to consider as a potential
-        lower-left corner of the legend. All are display coords.
-        """
-        # should always hold because function is only called internally
-        assert self.isaxes
+        start_time = time.perf_counter()
 
-        verts, bboxes, lines = self._auto_legend_data()
+        bboxes, lines, offsets = self._auto_legend_data(renderer)
 
         bbox = Bbox.from_bounds(0, 0, width, height)
-        if consider is None:
-            consider = [self._get_anchored_bbox(x, bbox,
-                                                self.get_bbox_to_anchor(),
-                                                renderer)
-                        for x in range(1, len(self.codes))]
-
-#       tx, ty = self.legendPatch.get_x(), self.legendPatch.get_y()
 
         candidates = []
-        for l, b in consider:
+        for idx in range(1, len(self.codes)):
+            l, b = self._get_anchored_bbox(idx, bbox,
+                                           self.get_bbox_to_anchor(),
+                                           renderer)
             legendBox = Bbox.from_bounds(l, b, width, height)
-            badness = 0
-            # XXX TODO: If markers are present, it would be good to
-            # take their into account when checking vertex overlaps in
-            # the next line.
-            badness = legendBox.count_contains(verts)
-            badness += legendBox.count_overlaps(bboxes)
-            for line in lines:
-                # FIXME: the following line is ill-suited for lines
-                # that 'spiral' around the center, because the bbox
-                # may intersect with the legend even if the line
-                # itself doesn't. One solution would be to break up
-                # the line into its straight-segment components, but
-                # this may (or may not) result in a significant
-                # slowdown if lines with many vertices are present.
-                if line.intersects_bbox(legendBox):
-                    badness += 1
-
-            ox, oy = l, b
+            # XXX TODO: If markers are present, it would be good to take them
+            # into account when checking vertex overlaps in the next line.
+            badness = (sum(legendBox.count_contains(line.vertices)
+                           for line in lines)
+                       + legendBox.count_contains(offsets)
+                       + legendBox.count_overlaps(bboxes)
+                       + sum(line.intersects_bbox(legendBox, filled=False)
+                             for line in lines))
+            # Include the index to favor lower codes in case of a tie.
+            candidates.append((badness, idx, (l, b)))
             if badness == 0:
-                return ox, oy
+                break
 
-            candidates.append((badness, (l, b)))
+        _, _, (l, b) = min(candidates)
 
-        # rather than use min() or list.sort(), do this so that we are assured
-        # that in the case of two equal badnesses, the one first considered is
-        # returned.
-        # NOTE: list.sort() is stable.But leave as it is for now. -JJL
-        minCandidate = candidates[0]
-        for candidate in candidates:
-            if candidate[0] < minCandidate[0]:
-                minCandidate = candidate
+        if self._loc_used_default and time.perf_counter() - start_time > 1:
+            _api.warn_external(
+                'Creating legend with loc="best" can be slow with large '
+                'amounts of data.')
 
-        ox, oy = minCandidate[1]
+        return l, b
 
-        return ox, oy
+    def contains(self, mouseevent):
+        return self.legendPatch.contains(mouseevent)
 
-    def contains(self, event):
-        return self.legendPatch.contains(event)
-
-    def draggable(self, state=None, use_blit=False, update="loc"):
+    def set_draggable(self, state, use_blit=False, update='loc'):
         """
-        Set the draggable state -- if state is
-
-          * None : toggle the current state
-
-          * True : turn draggable on
-
-          * False : turn draggable off
-
-        If draggable is on, you can drag the legend on the canvas with
-        the mouse.  The DraggableLegend helper instance is returned if
-        draggable is on.
-
-        The update parameter control which parameter of the legend changes
-        when dragged. If update is "loc", the *loc* paramter of the legend
-        is changed. If "bbox", the *bbox_to_anchor* parameter is changed.
+        Enable or disable mouse dragging support of the legend.
+
+        Parameters
+        ----------
+        state : bool
+            Whether mouse dragging is enabled.
+        use_blit : bool, optional
+            Use blitting for faster image composition. For details see
+            :ref:`func-animation`.
+        update : {'loc', 'bbox'}, optional
+            The legend parameter to be changed when dragged:
+
+            - 'loc': update the *loc* parameter of the legend
+            - 'bbox': update the *bbox_to_anchor* parameter of the legend
+
+        Returns
+        -------
+        `.DraggableLegend` or *None*
+            If *state* is ``True`` this returns the `.DraggableLegend` helper
+            instance. Otherwise this returns *None*.
         """
-        is_draggable = self._draggable is not None
-
-        # if state is None we'll toggle
-        if state is None:
-            state = not is_draggable
-
         if state:
             if self._draggable is None:
                 self._draggable = DraggableLegend(self,
@@ -1001,5 +1217,152 @@ def draggable(self, state=None, use_blit=False, update="loc"):
             if self._draggable is not None:
                 self._draggable.disconnect()
             self._draggable = None
-
         return self._draggable
+
+    def get_draggable(self):
+        """Return ``True`` if the legend is draggable, ``False`` otherwise."""
+        return self._draggable is not None
+
+
+# Helper functions to parse legend arguments for both `figure.legend` and
+# `axes.legend`:
+def _get_legend_handles(axs, legend_handler_map=None):
+    """Yield artists that can be used as handles in a legend."""
+    handles_original = []
+    for ax in axs:
+        handles_original += [
+            *(a for a in ax._children
+              if isinstance(a, (Line2D, Patch, Collection, Text))),
+            *ax.containers]
+        # support parasite Axes:
+        if hasattr(ax, 'parasites'):
+            for axx in ax.parasites:
+                handles_original += [
+                    *(a for a in axx._children
+                      if isinstance(a, (Line2D, Patch, Collection, Text))),
+                    *axx.containers]
+
+    handler_map = {**Legend.get_default_handler_map(),
+                   **(legend_handler_map or {})}
+    has_handler = Legend.get_legend_handler
+    for handle in handles_original:
+        label = handle.get_label()
+        if label != '_nolegend_' and has_handler(handler_map, handle):
+            yield handle
+        elif (label and not label.startswith('_') and
+                not has_handler(handler_map, handle)):
+            _api.warn_external(
+                             "Legend does not support handles for "
+                             f"{type(handle).__name__} "
+                             "instances.\nSee: https://matplotlib.org/stable/"
+                             "tutorials/intermediate/legend_guide.html"
+                             "#implementing-a-custom-legend-handler")
+            continue
+
+
+def _get_legend_handles_labels(axs, legend_handler_map=None):
+    """Return handles and labels for legend."""
+    handles = []
+    labels = []
+    for handle in _get_legend_handles(axs, legend_handler_map):
+        label = handle.get_label()
+        if label and not label.startswith('_'):
+            handles.append(handle)
+            labels.append(label)
+    return handles, labels
+
+
+def _parse_legend_args(axs, *args, handles=None, labels=None, **kwargs):
+    """
+    Get the handles and labels from the calls to either ``figure.legend``
+    or ``axes.legend``.
+
+    The parser is a bit involved because we support::
+
+        legend()
+        legend(labels)
+        legend(handles, labels)
+        legend(labels=labels)
+        legend(handles=handles)
+        legend(handles=handles, labels=labels)
+
+    The behavior for a mixture of positional and keyword handles and labels
+    is undefined and raises an error.
+
+    Parameters
+    ----------
+    axs : list of `.Axes`
+        If handles are not given explicitly, the artists in these Axes are
+        used as handles.
+    *args : tuple
+        Positional parameters passed to ``legend()``.
+    handles
+        The value of the keyword argument ``legend(handles=...)``, or *None*
+        if that keyword argument was not used.
+    labels
+        The value of the keyword argument ``legend(labels=...)``, or *None*
+        if that keyword argument was not used.
+    **kwargs
+        All other keyword arguments passed to ``legend()``.
+
+    Returns
+    -------
+    handles : list of (`.Artist` or tuple of `.Artist`)
+        The legend handles.
+    labels : list of str
+        The legend labels.
+    kwargs : dict
+        *kwargs* with keywords handles and labels removed.
+
+    """
+    log = logging.getLogger(__name__)
+
+    handlers = kwargs.get('handler_map')
+
+    if (handles is not None or labels is not None) and args:
+        raise TypeError("When passing handles and labels, they must both be "
+                        "passed positionally or both as keywords.")
+
+    if (hasattr(handles, "__len__") and
+            hasattr(labels, "__len__") and
+            len(handles) != len(labels)):
+        _api.warn_external(f"Mismatched number of handles and labels: "
+                           f"len(handles) = {len(handles)} "
+                           f"len(labels) = {len(labels)}")
+    # if got both handles and labels as kwargs, make same length
+    if handles and labels:
+        handles, labels = zip(*zip(handles, labels))
+
+    elif handles is not None and labels is None:
+        labels = [handle.get_label() for handle in handles]
+
+    elif labels is not None and handles is None:
+        # Get as many handles as there are labels.
+        handles = [handle for handle, label
+                   in zip(_get_legend_handles(axs, handlers), labels)]
+
+    elif len(args) == 0:  # 0 args: automatically detect labels and handles.
+        handles, labels = _get_legend_handles_labels(axs, handlers)
+        if not handles:
+            _api.warn_external(
+                "No artists with labels found to put in legend.  Note that "
+                "artists whose label start with an underscore are ignored "
+                "when legend() is called with no argument.")
+
+    elif len(args) == 1:  # 1 arg: user defined labels, automatic handle detection.
+        labels, = args
+        if any(isinstance(l, Artist) for l in labels):
+            raise TypeError("A single argument passed to legend() must be a "
+                            "list of labels, but found an Artist in there.")
+
+        # Get as many handles as there are labels.
+        handles = [handle for handle, label
+                   in zip(_get_legend_handles(axs, handlers), labels)]
+
+    elif len(args) == 2:  # 2 args: user defined handles and labels.
+        handles, labels = args[:2]
+
+    else:
+        raise _api.nargs_error('legend', '0-2', len(args))
+
+    return handles, labels, kwargs
diff --git a/lib/matplotlib/legend.pyi b/lib/matplotlib/legend.pyi
new file mode 100644
index 000000000000..dde5882da69d
--- /dev/null
+++ b/lib/matplotlib/legend.pyi
@@ -0,0 +1,152 @@
+from matplotlib.axes import Axes
+from matplotlib.artist import Artist
+from matplotlib.backend_bases import MouseEvent
+from matplotlib.figure import Figure
+from matplotlib.font_manager import FontProperties
+from matplotlib.legend_handler import HandlerBase
+from matplotlib.lines import Line2D
+from matplotlib.offsetbox import (
+    DraggableOffsetBox,
+)
+from matplotlib.patches import FancyBboxPatch, Patch, Rectangle
+from matplotlib.text import Text
+from matplotlib.transforms import (
+    BboxBase,
+    Transform,
+)
+
+
+import pathlib
+from collections.abc import Iterable
+from typing import Any, Literal, overload
+from .typing import ColorType
+
+class DraggableLegend(DraggableOffsetBox):
+    legend: Legend
+    def __init__(
+        self, legend: Legend, use_blit: bool = ..., update: Literal["loc", "bbox"] = ...
+    ) -> None: ...
+    def finalize_offset(self) -> None: ...
+
+class Legend(Artist):
+    codes: dict[str, int]
+    zorder: float
+    prop: FontProperties
+    texts: list[Text]
+    legend_handles: list[Artist | None]
+    numpoints: int
+    markerscale: float
+    scatterpoints: int
+    borderpad: float
+    labelspacing: float
+    handlelength: float
+    handleheight: float
+    handletextpad: float
+    borderaxespad: float
+    columnspacing: float
+    shadow: bool
+    isaxes: bool
+    axes: Axes
+    parent: Axes | Figure
+    legendPatch: FancyBboxPatch
+    def __init__(
+        self,
+        parent: Axes | Figure,
+        handles: Iterable[Artist | tuple[Artist, ...]],
+        labels: Iterable[str],
+        *,
+        loc: str | tuple[float, float] | int | None = ...,
+        numpoints: int | None = ...,
+        markerscale: float | None = ...,
+        markerfirst: bool = ...,
+        reverse: bool = ...,
+        scatterpoints: int | None = ...,
+        scatteryoffsets: Iterable[float] | None = ...,
+        prop: FontProperties | dict[str, Any] | None = ...,
+        fontsize: float | str | None = ...,
+        labelcolor: ColorType
+        | Iterable[ColorType]
+        | Literal["linecolor", "markerfacecolor", "mfc", "markeredgecolor", "mec"]
+        | None = ...,
+        borderpad: float | None = ...,
+        labelspacing: float | None = ...,
+        handlelength: float | None = ...,
+        handleheight: float | None = ...,
+        handletextpad: float | None = ...,
+        borderaxespad: float | None = ...,
+        columnspacing: float | None = ...,
+        ncols: int = ...,
+        mode: Literal["expand"] | None = ...,
+        fancybox: bool | None = ...,
+        shadow: bool | dict[str, Any] | None = ...,
+        title: str | None = ...,
+        title_fontsize: float | None = ...,
+        framealpha: float | None = ...,
+        edgecolor: Literal["inherit"] | ColorType | None = ...,
+        facecolor: Literal["inherit"] | ColorType | None = ...,
+        bbox_to_anchor: BboxBase
+        | tuple[float, float]
+        | tuple[float, float, float, float]
+        | None = ...,
+        bbox_transform: Transform | None = ...,
+        frameon: bool | None = ...,
+        handler_map: dict[Artist | type, HandlerBase] | None = ...,
+        title_fontproperties: FontProperties | dict[str, Any] | None = ...,
+        alignment: Literal["center", "left", "right"] = ...,
+        ncol: int = ...,
+        draggable: bool = ...
+    ) -> None: ...
+    def contains(self, mouseevent: MouseEvent) -> tuple[bool, dict[Any, Any]]: ...
+    def set_ncols(self, ncols: int) -> None: ...
+    @classmethod
+    def get_default_handler_map(cls) -> dict[type, HandlerBase]: ...
+    @classmethod
+    def set_default_handler_map(cls, handler_map: dict[type, HandlerBase]) -> None: ...
+    @classmethod
+    def update_default_handler_map(
+        cls, handler_map: dict[type, HandlerBase]
+    ) -> None: ...
+    def get_legend_handler_map(self) -> dict[type, HandlerBase]: ...
+    @staticmethod
+    def get_legend_handler(
+        legend_handler_map: dict[type, HandlerBase], orig_handle: Any
+    ) -> HandlerBase | None: ...
+    def get_children(self) -> list[Artist]: ...
+    def get_frame(self) -> Rectangle: ...
+    def get_lines(self) -> list[Line2D]: ...
+    def get_patches(self) -> list[Patch]: ...
+    def get_texts(self) -> list[Text]: ...
+    def set_alignment(self, alignment: Literal["center", "left", "right"]) -> None: ...
+    def get_alignment(self) -> Literal["center", "left", "right"]: ...
+    def set_loc(self, loc: str | tuple[float, float] | int | None = ...) -> None: ...
+    def set_title(
+        self, title: str, prop: FontProperties | str | pathlib.Path | None = ...
+    ) -> None: ...
+    def get_title(self) -> Text: ...
+    def get_frame_on(self) -> bool: ...
+    def set_frame_on(self, b: bool) -> None: ...
+    draw_frame = set_frame_on
+    def get_bbox_to_anchor(self) -> BboxBase: ...
+    def set_bbox_to_anchor(
+        self,
+        bbox: BboxBase
+        | tuple[float, float]
+        | tuple[float, float, float, float]
+        | None,
+        transform: Transform | None = ...
+    ) -> None: ...
+    @overload
+    def set_draggable(
+        self,
+        state: Literal[True],
+        use_blit: bool = ...,
+        update: Literal["loc", "bbox"] = ...,
+    ) -> DraggableLegend: ...
+    @overload
+    def set_draggable(
+        self,
+        state: Literal[False],
+        use_blit: bool = ...,
+        update: Literal["loc", "bbox"] = ...,
+    ) -> None: ...
+    def get_draggable(self) -> bool: ...
diff --git a/lib/matplotlib/legend_handler.py b/lib/matplotlib/legend_handler.py
index 69af7aca28c8..263945b050d0 100644
--- a/lib/matplotlib/legend_handler.py
+++ b/lib/matplotlib/legend_handler.py
@@ -1,53 +1,54 @@
 """
-This module defines default legend handlers.
+Default legend handlers.
 
-It is strongly encouraged to have read the :ref:`legend guide
-<plotting-guide-legend>` before this documentation.
+.. important::
+
+    This is a low-level legend API, which most end users do not need.
+
+    We recommend that you are familiar with the :ref:`legend guide
+    <legend_guide>` before reading this documentation.
 
 Legend handlers are expected to be a callable object with a following
-signature. ::
+signature::
 
     legend_handler(legend, orig_handle, fontsize, handlebox)
 
 Where *legend* is the legend itself, *orig_handle* is the original
-plot, *fontsize* is the fontsize in pixles, and *handlebox* is a
-OffsetBox instance. Within the call, you should create relevant
+plot, *fontsize* is the fontsize in pixels, and *handlebox* is an
+`.OffsetBox` instance. Within the call, you should create relevant
 artists (using relevant properties from the *legend* and/or
-*orig_handle*) and add them into the handlebox. The artists needs to
-be scaled according to the fontsize (note that the size is in pixel,
+*orig_handle*) and add them into the *handlebox*. The artists need to
+be scaled according to the *fontsize* (note that the size is in pixels,
 i.e., this is dpi-scaled value).
 
 This module includes definition of several legend handler classes
-derived from the base class (HandlerBase) with the following method.
-
-    def legend_artist(self, legend, orig_handle, fontsize, handlebox):
-
+derived from the base class (HandlerBase) with the following method::
 
+    def legend_artist(self, legend, orig_handle, fontsize, handlebox)
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
+from itertools import cycle
 
 import numpy as np
 
+from matplotlib import cbook
 from matplotlib.lines import Line2D
 from matplotlib.patches import Rectangle
 import matplotlib.collections as mcoll
-import matplotlib.colors as mcolors
 
 
 def update_from_first_child(tgt, src):
-    tgt.update_from(src.get_children()[0])
+    first_child = next(iter(src.get_children()), None)
+    if first_child is not None:
+        tgt.update_from(first_child)
 
 
-class HandlerBase(object):
+class HandlerBase:
     """
-    A Base class for default legend handlers.
+    A base class for default legend handlers.
 
     The derived classes are meant to override *create_artists* method, which
-    has a following signature.::
+    has the following signature::
 
       def create_artists(self, legend, orig_handle,
                          xdescent, ydescent, width, height, fontsize,
@@ -59,6 +60,17 @@ def create_artists(self, legend, orig_handle,
 
     """
     def __init__(self, xpad=0., ypad=0., update_func=None):
+        """
+        Parameters
+        ----------
+        xpad : float, optional
+            Padding in x-direction.
+        ypad : float, optional
+            Padding in y-direction.
+        update_func : callable, optional
+            Function for updating the legend handler properties from another
+            legend handler, used by `~HandlerBase.update_prop`.
+        """
         self._xpad, self._ypad = xpad, ypad
         self._update_prop_func = update_func
 
@@ -89,21 +101,21 @@ def adjust_drawing_area(self, legend, orig_handle,
         return xdescent, ydescent, width, height
 
     def legend_artist(self, legend, orig_handle,
-                       fontsize, handlebox):
+                      fontsize, handlebox):
         """
         Return the artist that this HandlerBase generates for the given
         original artist/handle.
 
         Parameters
         ----------
-        legend : :class:`matplotlib.legend.Legend` instance
+        legend : `~matplotlib.legend.Legend`
             The legend for which these legend artists are being created.
         orig_handle : :class:`matplotlib.artist.Artist` or similar
             The object for which these legend artists are being created.
-        fontsize : float or int
+        fontsize : int
             The fontsize in pixels. The artists being created should
             be scaled according to the given fontsize.
-        handlebox : :class:`matplotlib.offsetbox.OffsetBox` instance
+        handlebox : `~matplotlib.offsetbox.OffsetBox`
             The box which has been created to hold this legend entry's
             artists. Artists created in the `legend_artist` method must
             be added to this handlebox inside this method.
@@ -128,12 +140,46 @@ def legend_artist(self, legend, orig_handle,
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
+        """
+        Return the legend artists generated.
+
+        Parameters
+        ----------
+        legend : `~matplotlib.legend.Legend`
+            The legend for which these legend artists are being created.
+        orig_handle : `~matplotlib.artist.Artist` or similar
+            The object for which these legend artists are being created.
+        xdescent, ydescent, width, height : int
+            The rectangle (*xdescent*, *ydescent*, *width*, *height*) that the
+            legend artists being created should fit within.
+        fontsize : int
+            The fontsize in pixels. The legend artists being created should
+            be scaled according to the given fontsize.
+        trans : `~matplotlib.transforms.Transform`
+            The transform that is applied to the legend artists being created.
+            Typically from unit coordinates in the handler box to screen
+            coordinates.
+        """
         raise NotImplementedError('Derived must override')
 
 
 class HandlerNpoints(HandlerBase):
-    def __init__(self, marker_pad=0.3, numpoints=None, **kw):
-        HandlerBase.__init__(self, **kw)
+    """
+    A legend handler that shows *numpoints* points in the legend entry.
+    """
+
+    def __init__(self, marker_pad=0.3, numpoints=None, **kwargs):
+        """
+        Parameters
+        ----------
+        marker_pad : float
+            Padding between points in legend entry.
+        numpoints : int
+            Number of points to show in legend entry.
+        **kwargs
+            Keyword arguments forwarded to `.HandlerBase`.
+        """
+        super().__init__(**kwargs)
 
         self._numpoints = numpoints
         self._marker_pad = marker_pad
@@ -146,24 +192,38 @@ def get_numpoints(self, legend):
 
     def get_xdata(self, legend, xdescent, ydescent, width, height, fontsize):
         numpoints = self.get_numpoints(legend)
-
         if numpoints > 1:
-            # we put some pad here to compensate the size of the
-            # marker
-            xdata = np.linspace(-xdescent + self._marker_pad * fontsize,
-                                width - self._marker_pad * fontsize,
+            # we put some pad here to compensate the size of the marker
+            pad = self._marker_pad * fontsize
+            xdata = np.linspace(-xdescent + pad,
+                                -xdescent + width - pad,
                                 numpoints)
             xdata_marker = xdata
-        elif numpoints == 1:
-            xdata = np.linspace(-xdescent, width, 2)
-            xdata_marker = [0.5 * width - 0.5 * xdescent]
-
+        else:
+            xdata = [-xdescent, -xdescent + width]
+            xdata_marker = [-xdescent + 0.5 * width]
         return xdata, xdata_marker
 
 
 class HandlerNpointsYoffsets(HandlerNpoints):
-    def __init__(self, numpoints=None, yoffsets=None, **kw):
-        HandlerNpoints.__init__(self, numpoints=numpoints, **kw)
+    """
+    A legend handler that shows *numpoints* in the legend, and allows them to
+    be individually offset in the y-direction.
+    """
+
+    def __init__(self, numpoints=None, yoffsets=None, **kwargs):
+        """
+        Parameters
+        ----------
+        numpoints : int
+            Number of points to show in legend entry.
+        yoffsets : array of floats
+            Length *numpoints* list of y offsets for each point in
+            legend entry.
+        **kwargs
+            Keyword arguments forwarded to `.HandlerNpoints`.
+        """
+        super().__init__(numpoints=numpoints, **kwargs)
         self._yoffsets = yoffsets
 
     def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):
@@ -175,21 +235,20 @@ def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):
         return ydata
 
 
-class HandlerLine2D(HandlerNpoints):
+class HandlerLine2DCompound(HandlerNpoints):
     """
-    Handler for Line2D instances.
+    Original handler for `.Line2D` instances, that relies on combining
+    a line-only with a marker-only artist.  May be deprecated in the future.
     """
-    def __init__(self, marker_pad=0.3, numpoints=None, **kw):
-        HandlerNpoints.__init__(self, marker_pad=marker_pad, numpoints=numpoints, **kw)
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
-
+        # docstring inherited
         xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
                                              width, height, fontsize)
 
-        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+        ydata = np.full_like(xdata, ((height - ydescent) / 2))
         legline = Line2D(xdata, ydata)
 
         self.update_prop(legline, orig_handle, legend)
@@ -213,25 +272,69 @@ def create_artists(self, legend, orig_handle,
         return [legline, legline_marker]
 
 
+class HandlerLine2D(HandlerNpoints):
+    """
+    Handler for `.Line2D` instances.
+
+    See Also
+    --------
+    HandlerLine2DCompound : An earlier handler implementation, which used one
+                            artist for the line and another for the marker(s).
+    """
+
+    def create_artists(self, legend, orig_handle,
+                       xdescent, ydescent, width, height, fontsize,
+                       trans):
+        # docstring inherited
+        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
+                                             width, height, fontsize)
+
+        markevery = None
+        if self.get_numpoints(legend) == 1:
+            # Special case: one wants a single marker in the center
+            # and a line that extends on both sides. One will use a
+            # 3 points line, but only mark the #1 (i.e. middle) point.
+            xdata = np.linspace(xdata[0], xdata[-1], 3)
+            markevery = [1]
+
+        ydata = np.full_like(xdata, (height - ydescent) / 2)
+        legline = Line2D(xdata, ydata, markevery=markevery)
+
+        self.update_prop(legline, orig_handle, legend)
+
+        if legend.markerscale != 1:
+            newsz = legline.get_markersize() * legend.markerscale
+            legline.set_markersize(newsz)
+
+        legline.set_transform(trans)
+
+        return [legline]
+
+
 class HandlerPatch(HandlerBase):
     """
-    Handler for Patch instances.
+    Handler for `.Patch` instances.
     """
-    def __init__(self, patch_func=None, **kw):
+
+    def __init__(self, patch_func=None, **kwargs):
         """
-        The HandlerPatch class optionally takes a function ``patch_func``
-        who's responsibility is to create the legend key artist. The
-        ``patch_func`` should have the signature::
+        Parameters
+        ----------
+        patch_func : callable, optional
+            The function that creates the legend key artist.
+            *patch_func* should have the signature::
 
-            def patch_func(legend=legend, orig_handle=orig_handle,
-                           xdescent=xdescent, ydescent=ydescent,
-                           width=width, height=height, fontsize=fontsize)
+                def patch_func(legend=legend, orig_handle=orig_handle,
+                               xdescent=xdescent, ydescent=ydescent,
+                               width=width, height=height, fontsize=fontsize)
 
-        Subsequently the created artist will have its ``update_prop`` method
-        called and the appropriate transform will be applied.
+            Subsequently, the created artist will have its ``update_prop``
+            method called and the appropriate transform will be applied.
 
+        **kwargs
+            Keyword arguments forwarded to `.HandlerBase`.
         """
-        HandlerBase.__init__(self, **kw)
+        super().__init__(**kwargs)
         self._patch_func = patch_func
 
     def _create_patch(self, legend, orig_handle,
@@ -247,6 +350,7 @@ def _create_patch(self, legend, orig_handle,
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize, trans):
+        # docstring inherited
         p = self._create_patch(legend, orig_handle,
                                xdescent, ydescent, width, height, fontsize)
         self.update_prop(p, orig_handle, legend)
@@ -254,9 +358,46 @@ def create_artists(self, legend, orig_handle,
         return [p]
 
 
+class HandlerStepPatch(HandlerBase):
+    """
+    Handler for `~.matplotlib.patches.StepPatch` instances.
+    """
+
+    @staticmethod
+    def _create_patch(orig_handle, xdescent, ydescent, width, height):
+        return Rectangle(xy=(-xdescent, -ydescent), width=width,
+                         height=height, color=orig_handle.get_facecolor())
+
+    @staticmethod
+    def _create_line(orig_handle, width, height):
+        # Unfilled StepPatch should show as a line
+        legline = Line2D([0, width], [height/2, height/2],
+                         color=orig_handle.get_edgecolor(),
+                         linestyle=orig_handle.get_linestyle(),
+                         linewidth=orig_handle.get_linewidth(),
+                         )
+
+        # Overwrite manually because patch and line properties don't mix
+        legline.set_drawstyle('default')
+        legline.set_marker("")
+        return legline
+
+    def create_artists(self, legend, orig_handle,
+                       xdescent, ydescent, width, height, fontsize, trans):
+        # docstring inherited
+        if orig_handle.get_fill() or (orig_handle.get_hatch() is not None):
+            p = self._create_patch(orig_handle, xdescent, ydescent, width,
+                                   height)
+            self.update_prop(p, orig_handle, legend)
+        else:
+            p = self._create_line(orig_handle, width, height)
+        p.set_transform(trans)
+        return [p]
+
+
 class HandlerLineCollection(HandlerLine2D):
     """
-    Handler for LineCollection instances.
+    Handler for `.LineCollection` instances.
     """
     def get_numpoints(self, legend):
         if self._numpoints is None:
@@ -265,20 +406,19 @@ def get_numpoints(self, legend):
             return self._numpoints
 
     def _default_update_prop(self, legend_handle, orig_handle):
-        lw = orig_handle.get_linewidth()[0]
-        dashes = orig_handle.get_dashes()[0]
+        lw = orig_handle.get_linewidths()[0]
+        dashes = orig_handle._us_linestyles[0]
         color = orig_handle.get_colors()[0]
         legend_handle.set_color(color)
+        legend_handle.set_linestyle(dashes)
         legend_handle.set_linewidth(lw)
-        if dashes[0] is not None: # dashed line
-            legend_handle.set_dashes(dashes[1])
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize, trans):
-
+        # docstring inherited
         xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
                                              width, height, fontsize)
-        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+        ydata = np.full_like(xdata, (height - ydescent) / 2)
         legline = Line2D(xdata, ydata)
 
         self.update_prop(legline, orig_handle, legend)
@@ -288,11 +428,10 @@ def create_artists(self, legend, orig_handle,
 
 
 class HandlerRegularPolyCollection(HandlerNpointsYoffsets):
-    """
-    Handler for RegularPolyCollections.
-    """
-    def __init__(self, yoffsets=None, sizes=None, **kw):
-        HandlerNpointsYoffsets.__init__(self, yoffsets=yoffsets, **kw)
+    r"""Handler for `.RegularPolyCollection`\s."""
+
+    def __init__(self, yoffsets=None, sizes=None, **kwargs):
+        super().__init__(yoffsets=yoffsets, **kwargs)
 
         self._sizes = sizes
 
@@ -303,15 +442,18 @@ def get_numpoints(self, legend):
             return self._numpoints
 
     def get_sizes(self, legend, orig_handle,
-                 xdescent, ydescent, width, height, fontsize):
+                  xdescent, ydescent, width, height, fontsize):
         if self._sizes is None:
-            size_max = max(orig_handle.get_sizes()) * legend.markerscale ** 2
-            size_min = min(orig_handle.get_sizes()) * legend.markerscale ** 2
+            handle_sizes = orig_handle.get_sizes()
+            if not len(handle_sizes):
+                handle_sizes = [1]
+            size_max = max(handle_sizes) * legend.markerscale ** 2
+            size_min = min(handle_sizes) * legend.markerscale ** 2
 
             numpoints = self.get_numpoints(legend)
             if numpoints < 4:
                 sizes = [.5 * (size_max + size_min), size_max,
-                         size_min]
+                         size_min][:numpoints]
             else:
                 rng = (size_max - size_min)
                 sizes = rng * np.linspace(0, 1, numpoints) + size_min
@@ -324,23 +466,22 @@ def update_prop(self, legend_handle, orig_handle, legend):
 
         self._update_prop(legend_handle, orig_handle)
 
-        legend_handle.set_figure(legend.figure)
-        #legend._set_artist_props(legend_handle)
+        legend_handle.set_figure(legend.get_figure(root=False))
+        # legend._set_artist_props(legend_handle)
         legend_handle.set_clip_box(None)
         legend_handle.set_clip_path(None)
 
-    def create_collection(self, orig_handle, sizes, offsets, transOffset):
-        p = type(orig_handle)(orig_handle.get_numsides(),
-                              rotation=orig_handle.get_rotation(),
-                              sizes=sizes,
-                              offsets=offsets,
-                              transOffset=transOffset,
-                              )
-        return p
+    def create_collection(self, orig_handle, sizes, offsets, offset_transform):
+        return type(orig_handle)(
+            orig_handle.get_numsides(),
+            rotation=orig_handle.get_rotation(), sizes=sizes,
+            offsets=offsets, offset_transform=offset_transform,
+        )
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
+        # docstring inherited
         xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
                                              width, height, fontsize)
 
@@ -350,54 +491,46 @@ def create_artists(self, legend, orig_handle,
         sizes = self.get_sizes(legend, orig_handle, xdescent, ydescent,
                                width, height, fontsize)
 
-        p = self.create_collection(orig_handle, sizes,
-                                   offsets=list(zip(xdata_marker, ydata)),
-                                   transOffset=trans)
+        p = self.create_collection(
+            orig_handle, sizes,
+            offsets=list(zip(xdata_marker, ydata)), offset_transform=trans)
 
         self.update_prop(p, orig_handle, legend)
-        p._transOffset = trans
+        p.set_offset_transform(trans)
         return [p]
 
 
 class HandlerPathCollection(HandlerRegularPolyCollection):
-    """
-    Handler for PathCollections, which are used by scatter
-    """
-    def create_collection(self, orig_handle, sizes, offsets, transOffset):
-        p = type(orig_handle)([orig_handle.get_paths()[0]],
-                              sizes=sizes,
-                              offsets=offsets,
-                              transOffset=transOffset,
-                              )
-        return p
+    r"""Handler for `.PathCollection`\s, which are used by `~.Axes.scatter`."""
+
+    def create_collection(self, orig_handle, sizes, offsets, offset_transform):
+        return type(orig_handle)(
+            [orig_handle.get_paths()[0]], sizes=sizes,
+            offsets=offsets, offset_transform=offset_transform,
+        )
 
 
 class HandlerCircleCollection(HandlerRegularPolyCollection):
-    """
-    Handler for CircleCollections
-    """
-    def create_collection(self, orig_handle, sizes, offsets, transOffset):
-        p = type(orig_handle)(sizes,
-                              offsets=offsets,
-                              transOffset=transOffset,
-                              )
-        return p
+    r"""Handler for `.CircleCollection`\s."""
+
+    def create_collection(self, orig_handle, sizes, offsets, offset_transform):
+        return type(orig_handle)(
+            sizes, offsets=offsets, offset_transform=offset_transform)
 
 
 class HandlerErrorbar(HandlerLine2D):
-    """
-    Handler for Errorbars
-    """
+    """Handler for Errorbars."""
+
     def __init__(self, xerr_size=0.5, yerr_size=None,
-                 marker_pad=0.3, numpoints=None, **kw):
+                 marker_pad=0.3, numpoints=None, **kwargs):
 
         self._xerr_size = xerr_size
         self._yerr_size = yerr_size
 
-        HandlerLine2D.__init__(self, marker_pad=marker_pad, numpoints=numpoints,
-                               **kw)
+        super().__init__(marker_pad=marker_pad, numpoints=numpoints, **kwargs)
 
-    def get_err_size(self, legend, xdescent, ydescent, width, height, fontsize):
+    def get_err_size(self, legend, xdescent, ydescent,
+                     width, height, fontsize):
         xerr_size = self._xerr_size * fontsize
 
         if self._yerr_size is None:
@@ -410,16 +543,15 @@ def get_err_size(self, legend, xdescent, ydescent, width, height, fontsize):
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
-
+        # docstring inherited
         plotlines, caplines, barlinecols = orig_handle
 
         xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
                                              width, height, fontsize)
 
-        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+        ydata = np.full_like(xdata, (height - ydescent) / 2)
         legline = Line2D(xdata, ydata)
 
-
         xdata_marker = np.asarray(xdata_marker)
         ydata_marker = np.asarray(ydata[:len(xdata_marker)])
 
@@ -437,7 +569,7 @@ def create_artists(self, legend, orig_handle,
             self.update_prop(legline, plotlines, legend)
 
             legline.set_drawstyle('default')
-            legline.set_marker('None')
+            legline.set_marker('none')
 
             self.update_prop(legline_marker, plotlines, legend)
             legline_marker.set_linestyle('None')
@@ -450,8 +582,8 @@ def create_artists(self, legend, orig_handle,
         handle_caplines = []
 
         if orig_handle.has_xerr:
-            verts = [ ((x - xerr_size, y), (x + xerr_size, y))
-                      for x, y in zip(xdata_marker, ydata_marker)]
+            verts = [((x - xerr_size, y), (x + xerr_size, y))
+                     for x, y in zip(xdata_marker, ydata_marker)]
             coll = mcoll.LineCollection(verts)
             self.update_prop(coll, barlinecols[0], legend)
             handle_barlinecols.append(coll)
@@ -468,8 +600,8 @@ def create_artists(self, legend, orig_handle,
                 handle_caplines.append(capline_right)
 
         if orig_handle.has_yerr:
-            verts = [ ((x, y - yerr_size), (x, y + yerr_size))
-                      for x, y in zip(xdata_marker, ydata_marker)]
+            verts = [((x, y - yerr_size), (x, y + yerr_size))
+                     for x, y in zip(xdata_marker, ydata_marker)]
             coll = mcoll.LineCollection(verts)
             self.update_prop(coll, barlinecols[0], legend)
             handle_barlinecols.append(coll)
@@ -485,28 +617,38 @@ def create_artists(self, legend, orig_handle,
                 handle_caplines.append(capline_left)
                 handle_caplines.append(capline_right)
 
-        artists = []
-        artists.extend(handle_barlinecols)
-        artists.extend(handle_caplines)
-        artists.append(legline)
-        artists.append(legline_marker)
-
+        artists = [
+            *handle_barlinecols, *handle_caplines, legline, legline_marker,
+        ]
         for artist in artists:
             artist.set_transform(trans)
-
         return artists
 
+
 class HandlerStem(HandlerNpointsYoffsets):
     """
-    Handler for Errorbars
+    Handler for plots produced by `~.Axes.stem`.
     """
-    def __init__(self, marker_pad=0.3, numpoints=None,
-                 bottom=None, yoffsets=None, **kw):
 
-        HandlerNpointsYoffsets.__init__(self, marker_pad=marker_pad,
-                                        numpoints=numpoints,
-                                        yoffsets=yoffsets,
-                                        **kw)
+    def __init__(self, marker_pad=0.3, numpoints=None,
+                 bottom=None, yoffsets=None, **kwargs):
+        """
+        Parameters
+        ----------
+        marker_pad : float, default: 0.3
+            Padding between points in legend entry.
+        numpoints : int, optional
+            Number of points to show in legend entry.
+        bottom : float, optional
+
+        yoffsets : array of floats, optional
+            Length *numpoints* list of y offsets for each point in
+            legend entry.
+        **kwargs
+            Keyword arguments forwarded to `.HandlerNpointsYoffsets`.
+        """
+        super().__init__(marker_pad=marker_pad, numpoints=numpoints,
+                         yoffsets=yoffsets, **kwargs)
         self._bottom = bottom
 
     def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):
@@ -520,8 +662,12 @@ def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
-
+        # docstring inherited
         markerline, stemlines, baseline = orig_handle
+        # Check to see if the stemcontainer is storing lines as a list or a
+        # LineCollection. Eventually using a list will be removed, and this
+        # logic can also be removed.
+        using_linecoll = isinstance(stemlines, mcoll.LineCollection)
 
         xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
                                              width, height, fontsize)
@@ -537,48 +683,87 @@ def create_artists(self, legend, orig_handle,
         leg_markerline = Line2D(xdata_marker, ydata[:len(xdata_marker)])
         self.update_prop(leg_markerline, markerline, legend)
 
-        leg_stemlines = []
-        for thisx, thisy in zip(xdata_marker, ydata):
-            l = Line2D([thisx, thisx], [bottom, thisy])
-            leg_stemlines.append(l)
+        leg_stemlines = [Line2D([x, x], [bottom, y])
+                         for x, y in zip(xdata_marker, ydata)]
 
-        for lm, m in zip(leg_stemlines, stemlines):
-            self.update_prop(lm, m, legend)
+        if using_linecoll:
+            # change the function used by update_prop() from the default
+            # to one that handles LineCollection
+            with cbook._setattr_cm(
+                    self, _update_prop_func=self._copy_collection_props):
+                for line in leg_stemlines:
+                    self.update_prop(line, stemlines, legend)
 
-        leg_baseline = Line2D([np.amin(xdata), np.amax(xdata)],
-                              [bottom, bottom])
+        else:
+            for lm, m in zip(leg_stemlines, stemlines):
+                self.update_prop(lm, m, legend)
 
+        leg_baseline = Line2D([np.min(xdata), np.max(xdata)],
+                              [bottom, bottom])
         self.update_prop(leg_baseline, baseline, legend)
 
-        artists = [leg_markerline]
-        artists.extend(leg_stemlines)
-        artists.append(leg_baseline)
-
+        artists = [*leg_stemlines, leg_baseline, leg_markerline]
         for artist in artists:
             artist.set_transform(trans)
-
         return artists
 
+    def _copy_collection_props(self, legend_handle, orig_handle):
+        """
+        Copy properties from the `.LineCollection` *orig_handle* to the
+        `.Line2D` *legend_handle*.
+        """
+        legend_handle.set_color(orig_handle.get_color()[0])
+        legend_handle.set_linestyle(orig_handle.get_linestyle()[0])
+
 
 class HandlerTuple(HandlerBase):
     """
-    Handler for Tuple
+    Handler for Tuple.
     """
-    def __init__(self, **kwargs):
-        HandlerBase.__init__(self, **kwargs)
+
+    def __init__(self, ndivide=1, pad=None, **kwargs):
+        """
+        Parameters
+        ----------
+        ndivide : int or None, default: 1
+            The number of sections to divide the legend area into.  If None,
+            use the length of the input tuple.
+        pad : float, default: :rc:`legend.borderpad`
+            Padding in units of fraction of font size.
+        **kwargs
+            Keyword arguments forwarded to `.HandlerBase`.
+        """
+        self._ndivide = ndivide
+        self._pad = pad
+        super().__init__(**kwargs)
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize,
                        trans):
-
+        # docstring inherited
         handler_map = legend.get_legend_handler_map()
+
+        if self._ndivide is None:
+            ndivide = len(orig_handle)
+        else:
+            ndivide = self._ndivide
+
+        if self._pad is None:
+            pad = legend.borderpad * fontsize
+        else:
+            pad = self._pad * fontsize
+
+        if ndivide > 1:
+            width = (width - pad * (ndivide - 1)) / ndivide
+
+        xds_cycle = cycle(xdescent - (width + pad) * np.arange(ndivide))
+
         a_list = []
         for handle1 in orig_handle:
             handler = legend.get_legend_handler(handler_map, handle1)
-            _a_list = handler.create_artists(legend, handle1,
-                                             xdescent, ydescent, width, height,
-                                             fontsize,
-                                             trans)
+            _a_list = handler.create_artists(
+                legend, handle1,
+                next(xds_cycle), ydescent, width, height, fontsize, trans)
             a_list.extend(_a_list)
 
         return a_list
@@ -586,32 +771,40 @@ def create_artists(self, legend, orig_handle,
 
 class HandlerPolyCollection(HandlerBase):
     """
-    Handler for PolyCollection used in fill_between and stackplot.
+    Handler for `.PolyCollection` used in `~.Axes.fill_between` and
+    `~.Axes.stackplot`.
     """
     def _update_prop(self, legend_handle, orig_handle):
         def first_color(colors):
-            colors = mcolors.colorConverter.to_rgba_array(colors)
-            if len(colors):
-                return colors[0]
-            else:
-                return "none"
+            if colors.size == 0:
+                return (0, 0, 0, 0)
+            return tuple(colors[0])
+
         def get_first(prop_array):
             if len(prop_array):
                 return prop_array[0]
             else:
                 return None
-        legend_handle.set_edgecolor(first_color(orig_handle.get_edgecolor()))
-        legend_handle.set_facecolor(first_color(orig_handle.get_facecolor()))
-        legend_handle.set_fill(orig_handle.get_fill())
-        legend_handle.set_hatch(orig_handle.get_hatch())
+
+        # orig_handle is a PolyCollection and legend_handle is a Patch.
+        # Directly set Patch color attributes (must be RGBA tuples).
+        legend_handle._facecolor = first_color(orig_handle.get_facecolor())
+        legend_handle._edgecolor = first_color(orig_handle.get_edgecolor())
+        legend_handle._hatch_color = first_color(orig_handle.get_hatchcolor())
+        legend_handle._original_facecolor = orig_handle._original_facecolor
+        legend_handle._original_edgecolor = orig_handle._original_edgecolor
+        legend_handle._fill = orig_handle.get_fill()
+        legend_handle._hatch = orig_handle.get_hatch()
+        # Setters are fine for the remaining attributes.
         legend_handle.set_linewidth(get_first(orig_handle.get_linewidths()))
         legend_handle.set_linestyle(get_first(orig_handle.get_linestyles()))
         legend_handle.set_transform(get_first(orig_handle.get_transforms()))
         legend_handle.set_figure(orig_handle.get_figure())
-        legend_handle.set_alpha(orig_handle.get_alpha())
+        # Alpha is already taken into account by the color attributes.
 
     def create_artists(self, legend, orig_handle,
                        xdescent, ydescent, width, height, fontsize, trans):
+        # docstring inherited
         p = Rectangle(xy=(-xdescent, -ydescent),
                       width=width, height=height)
         self.update_prop(p, orig_handle, legend)
diff --git a/lib/matplotlib/legend_handler.pyi b/lib/matplotlib/legend_handler.pyi
new file mode 100644
index 000000000000..db028a136a48
--- /dev/null
+++ b/lib/matplotlib/legend_handler.pyi
@@ -0,0 +1,294 @@
+from collections.abc import Callable, Sequence
+from matplotlib.artist import Artist
+from matplotlib.legend import Legend
+from matplotlib.offsetbox import OffsetBox
+from matplotlib.transforms import Transform
+
+from typing import TypeVar
+
+from numpy.typing import ArrayLike
+
+def update_from_first_child(tgt: Artist, src: Artist) -> None: ...
+
+class HandlerBase:
+    def __init__(
+        self,
+        xpad: float = ...,
+        ypad: float = ...,
+        update_func: Callable[[Artist, Artist], None] | None = ...,
+    ) -> None: ...
+    def update_prop(
+        self, legend_handle: Artist, orig_handle: Artist, legend: Legend
+    ) -> None: ...
+    def adjust_drawing_area(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> tuple[float, float, float, float]: ...
+    def legend_artist(
+        self, legend: Legend, orig_handle: Artist, fontsize: float, handlebox: OffsetBox
+    ) -> Artist: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerNpoints(HandlerBase):
+    def __init__(
+        self, marker_pad: float = ..., numpoints: int | None = ..., **kwargs
+    ) -> None: ...
+    def get_numpoints(self, legend: Legend) -> int | None: ...
+    def get_xdata(
+        self,
+        legend: Legend,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> tuple[ArrayLike, ArrayLike]: ...
+
+class HandlerNpointsYoffsets(HandlerNpoints):
+    def __init__(
+        self,
+        numpoints: int | None = ...,
+        yoffsets: Sequence[float] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_ydata(
+        self,
+        legend: Legend,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> ArrayLike: ...
+
+class HandlerLine2DCompound(HandlerNpoints):
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerLine2D(HandlerNpoints):
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerPatch(HandlerBase):
+    def __init__(self, patch_func: Callable | None = ..., **kwargs) -> None: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerStepPatch(HandlerBase):
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerLineCollection(HandlerLine2D):
+    def get_numpoints(self, legend: Legend) -> int: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+_T = TypeVar("_T", bound=Artist)
+
+class HandlerRegularPolyCollection(HandlerNpointsYoffsets):
+    def __init__(
+        self,
+        yoffsets: Sequence[float] | None = ...,
+        sizes: Sequence[float] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_numpoints(self, legend: Legend) -> int: ...
+    def get_sizes(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> Sequence[float]: ...
+    def update_prop(
+        self, legend_handle, orig_handle: Artist, legend: Legend
+    ) -> None: ...
+    def create_collection(
+        self,
+        orig_handle: _T,
+        sizes: Sequence[float] | None,
+        offsets: Sequence[float] | None,
+        offset_transform: Transform,
+    ) -> _T: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerPathCollection(HandlerRegularPolyCollection):
+    def create_collection(
+        self,
+        orig_handle: _T,
+        sizes: Sequence[float] | None,
+        offsets: Sequence[float] | None,
+        offset_transform: Transform,
+    ) -> _T: ...
+
+class HandlerCircleCollection(HandlerRegularPolyCollection):
+    def create_collection(
+        self,
+        orig_handle: _T,
+        sizes: Sequence[float] | None,
+        offsets: Sequence[float] | None,
+        offset_transform: Transform,
+    ) -> _T: ...
+
+class HandlerErrorbar(HandlerLine2D):
+    def __init__(
+        self,
+        xerr_size: float = ...,
+        yerr_size: float | None = ...,
+        marker_pad: float = ...,
+        numpoints: int | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_err_size(
+        self,
+        legend: Legend,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> tuple[float, float]: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerStem(HandlerNpointsYoffsets):
+    def __init__(
+        self,
+        marker_pad: float = ...,
+        numpoints: int | None = ...,
+        bottom: float | None = ...,
+        yoffsets: Sequence[float] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def get_ydata(
+        self,
+        legend: Legend,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+    ) -> ArrayLike: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerTuple(HandlerBase):
+    def __init__(
+        self, ndivide: int | None = ..., pad: float | None = ..., **kwargs
+    ) -> None: ...
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
+
+class HandlerPolyCollection(HandlerBase):
+    def create_artists(
+        self,
+        legend: Legend,
+        orig_handle: Artist,
+        xdescent: float,
+        ydescent: float,
+        width: float,
+        height: float,
+        fontsize: float,
+        trans: Transform,
+    ) -> Sequence[Artist]: ...
diff --git a/lib/matplotlib/lines.py b/lib/matplotlib/lines.py
index 87bb99896f7d..72c57bf77b5c 100644
--- a/lib/matplotlib/lines.py
+++ b/lib/matplotlib/lines.py
@@ -1,44 +1,107 @@
 """
-This module contains all the 2D line class which can draw with a
-variety of line styles, markers and colors.
+2D lines with support for a variety of line styles, markers, colors, etc.
 """
 
-# TODO: expose cap and join style attrs
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import copy
 
-import six
-
-import warnings
+from numbers import Integral, Number, Real
+import logging
 
 import numpy as np
-from numpy import ma
-from matplotlib import verbose
-from . import artist
-from .artist import Artist
-from .cbook import iterable, is_string_like, is_numlike, ls_mapper
-from .colors import colorConverter
+
+import matplotlib as mpl
+from . import _api, cbook, colors as mcolors, _docstring
+from .artist import Artist, allow_rasterization
+from .cbook import (
+    _to_unmasked_float_array, ls_mapper, ls_mapper_r, STEP_LOOKUP_MAP)
+from .markers import MarkerStyle
 from .path import Path
-from .transforms import Bbox, TransformedPath, IdentityTransform
+from .transforms import Bbox, BboxTransformTo, TransformedPath
+from ._enums import JoinStyle, CapStyle
 
-from matplotlib import rcParams
-from .artist import allow_rasterization
-from matplotlib import docstring
-from matplotlib.markers import MarkerStyle
 # Imported here for backward compatibility, even though they don't
 # really belong.
-from matplotlib.markers import TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN
-from matplotlib.markers import CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN
+from . import _path
+from .markers import (  # noqa
+    CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN,
+    CARETLEFTBASE, CARETRIGHTBASE, CARETUPBASE, CARETDOWNBASE,
+    TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN)
+
+_log = logging.getLogger(__name__)
+
+
+def _get_dash_pattern(style):
+    """Convert linestyle to dash pattern."""
+    # go from short hand -> full strings
+    if isinstance(style, str):
+        style = ls_mapper.get(style, style)
+    # un-dashed styles
+    if style in ['solid', 'None']:
+        offset = 0
+        dashes = None
+    # dashed styles
+    elif style in ['dashed', 'dashdot', 'dotted']:
+        offset = 0
+        dashes = tuple(mpl.rcParams[f'lines.{style}_pattern'])
+    #
+    elif isinstance(style, tuple):
+        offset, dashes = style
+        if offset is None:
+            raise ValueError(f'Unrecognized linestyle: {style!r}')
+    else:
+        raise ValueError(f'Unrecognized linestyle: {style!r}')
+
+    # normalize offset to be positive and shorter than the dash cycle
+    if dashes is not None:
+        dsum = sum(dashes)
+        if dsum:
+            offset %= dsum
+
+    return offset, dashes
+
+
+def _get_dash_patterns(styles):
+    """Convert linestyle or sequence of linestyles to list of dash patterns."""
+    try:
+        patterns = [_get_dash_pattern(styles)]
+    except ValueError:
+        try:
+            patterns = [_get_dash_pattern(x) for x in styles]
+        except ValueError as err:
+            emsg = f'Do not know how to convert {styles!r} to dashes'
+            raise ValueError(emsg) from err
+
+    return patterns
+
+
+def _get_inverse_dash_pattern(offset, dashes):
+    """Return the inverse of the given dash pattern, for filling the gaps."""
+    # Define the inverse pattern by moving the last gap to the start of the
+    # sequence.
+    gaps = dashes[-1:] + dashes[:-1]
+    # Set the offset so that this new first segment is skipped
+    # (see backend_bases.GraphicsContextBase.set_dashes for offset definition).
+    offset_gaps = offset + dashes[-1]
+
+    return offset_gaps, gaps
+
+
+def _scale_dashes(offset, dashes, lw):
+    if not mpl.rcParams['lines.scale_dashes']:
+        return offset, dashes
+    scaled_offset = offset * lw
+    scaled_dashes = ([x * lw if x is not None else None for x in dashes]
+                     if dashes is not None else None)
+    return scaled_offset, scaled_dashes
 
 
 def segment_hits(cx, cy, x, y, radius):
     """
-    Determine if any line segments are within radius of a
-    point. Returns the list of line segments that are within that
-    radius.
+    Return the indices of the segments in the polyline with coordinates (*cx*,
+    *cy*) that are within a distance *radius* of the point (*x*, *y*).
     """
     # Process single points specially
-    if len(x) < 2:
+    if len(x) <= 1:
         res, = np.nonzero((cx - x) ** 2 + (cy - y) ** 2 <= radius ** 2)
         return res
 
@@ -51,29 +114,25 @@ def segment_hits(cx, cy, x, y, radius):
     Lnorm_sq = dx ** 2 + dy ** 2  # Possibly want to eliminate Lnorm==0
     u = ((cx - xr) * dx + (cy - yr) * dy) / Lnorm_sq
     candidates = (u >= 0) & (u <= 1)
-    #if any(candidates): print "candidates",xr[candidates]
 
     # Note that there is a little area near one side of each point
     # which will be near neither segment, and another which will
     # be near both, depending on the angle of the lines.  The
     # following radius test eliminates these ambiguities.
     point_hits = (cx - x) ** 2 + (cy - y) ** 2 <= radius ** 2
-    #if any(point_hits): print "points",xr[candidates]
     candidates = candidates & ~(point_hits[:-1] | point_hits[1:])
 
     # For those candidates which remain, determine how far they lie away
     # from the line.
     px, py = xr + u * dx, yr + u * dy
     line_hits = (cx - px) ** 2 + (cy - py) ** 2 <= radius ** 2
-    #if any(line_hits): print "lines",xr[candidates]
     line_hits = line_hits & candidates
     points, = point_hits.ravel().nonzero()
     lines, = line_hits.ravel().nonzero()
-    #print points,lines
     return np.concatenate((points, lines))
 
 
-def _mark_every_path(markevery, tpath, affine, ax_transform):
+def _mark_every_path(markevery, tpath, affine, ax):
     """
     Helper function that sorts out how to deal the input
     `markevery` and returns the points where markers should be drawn.
@@ -85,115 +144,110 @@ def _mark_every_path(markevery, tpath, affine, ax_transform):
     codes, verts = tpath.codes, tpath.vertices
 
     def _slice_or_none(in_v, slc):
-        '''
-        Helper function to cope with `codes` being an
-        ndarray or `None`
-        '''
+        """Helper function to cope with `codes` being an ndarray or `None`."""
         if in_v is None:
             return None
         return in_v[slc]
 
-    # if just a float, assume starting at 0.0 and make a tuple
-    if isinstance(markevery, float):
-        markevery = (0.0, markevery)
     # if just an int, assume starting at 0 and make a tuple
-    elif isinstance(markevery, int):
+    if isinstance(markevery, Integral):
         markevery = (0, markevery)
+    # if just a float, assume starting at 0.0 and make a tuple
+    elif isinstance(markevery, Real):
+        markevery = (0.0, markevery)
 
     if isinstance(markevery, tuple):
         if len(markevery) != 2:
-            raise ValueError('`markevery` is a tuple but its '
-                'len is not 2; '
-                'markevery=%s' % (markevery,))
+            raise ValueError('`markevery` is a tuple but its len is not 2; '
+                             f'markevery={markevery}')
         start, step = markevery
         # if step is an int, old behavior
-        if isinstance(step, int):
-            #tuple of 2 int is for backwards compatibility,
-            if not(isinstance(start, int)):
-                raise ValueError('`markevery` is a tuple with '
-                    'len 2 and second element is an int, but '
-                    'the first element is not an int; '
-                    'markevery=%s' % (markevery,))
+        if isinstance(step, Integral):
+            # tuple of 2 int is for backwards compatibility,
+            if not isinstance(start, Integral):
+                raise ValueError(
+                    '`markevery` is a tuple with len 2 and second element is '
+                    'an int, but the first element is not an int; '
+                    f'markevery={markevery}')
             # just return, we are done here
 
             return Path(verts[slice(start, None, step)],
                         _slice_or_none(codes, slice(start, None, step)))
 
-        elif isinstance(step, float):
-            if not (isinstance(start, int) or
-                    isinstance(start, float)):
-                raise ValueError('`markevery` is a tuple with '
-                    'len 2 and second element is a float, but '
-                    'the first element is not a float or an '
-                    'int; '
-                    'markevery=%s' % (markevery,))
-            #calc cumulative distance along path (in display
-            # coords):
-            disp_coords = affine.transform(tpath.vertices)
-            delta = np.empty((len(disp_coords), 2),
-                             dtype=float)
-            delta[0, :] = 0.0
-            delta[1:, :] = (disp_coords[1:, :] -
-                                disp_coords[:-1, :])
-            delta = np.sum(delta**2, axis=1)
-            delta = np.sqrt(delta)
-            delta = np.cumsum(delta)
-            #calc distance between markers along path based on
-            # the axes bounding box diagonal being a distance
-            # of unity:
-            scale = ax_transform.transform(
-                np.array([[0, 0], [1, 1]]))
-            scale = np.diff(scale, axis=0)
-            scale = np.sum(scale**2)
-            scale = np.sqrt(scale)
-            marker_delta = np.arange(start * scale,
-                                     delta[-1],
-                                     step * scale)
-            #find closest actual data point that is closest to
+        elif isinstance(step, Real):
+            if not isinstance(start, Real):
+                raise ValueError(
+                    '`markevery` is a tuple with len 2 and second element is '
+                    'a float, but the first element is not a float or an int; '
+                    f'markevery={markevery}')
+            if ax is None:
+                raise ValueError(
+                    "markevery is specified relative to the Axes size, but "
+                    "the line does not have a Axes as parent")
+
+            # calc cumulative distance along path (in display coords):
+            fin = np.isfinite(verts).all(axis=1)
+            fverts = verts[fin]
+            disp_coords = affine.transform(fverts)
+
+            delta = np.empty((len(disp_coords), 2))
+            delta[0, :] = 0
+            delta[1:, :] = disp_coords[1:, :] - disp_coords[:-1, :]
+            delta = np.hypot(*delta.T).cumsum()
+            # calc distance between markers along path based on the Axes
+            # bounding box diagonal being a distance of unity:
+            (x0, y0), (x1, y1) = ax.transAxes.transform([[0, 0], [1, 1]])
+            scale = np.hypot(x1 - x0, y1 - y0)
+            marker_delta = np.arange(start * scale, delta[-1], step * scale)
+            # find closest actual data point that is closest to
             # the theoretical distance along the path:
-            inds = np.abs(delta[np.newaxis, :] -
-                            marker_delta[:, np.newaxis])
+            inds = np.abs(delta[np.newaxis, :] - marker_delta[:, np.newaxis])
             inds = inds.argmin(axis=1)
             inds = np.unique(inds)
             # return, we are done here
-            return Path(verts[inds],
-                        _slice_or_none(codes, inds))
+            return Path(fverts[inds], _slice_or_none(codes, inds))
         else:
-            raise ValueError('`markevery` is a tuple with '
-                'len 2, but its second element is not an int '
-                'or a float; '
-                'markevery=%s' % (markevery,))
+            raise ValueError(
+                f"markevery={markevery!r} is a tuple with len 2, but its "
+                f"second element is not an int or a float")
 
     elif isinstance(markevery, slice):
         # mazol tov, it's already a slice, just return
-        return Path(verts[markevery],
-                    _slice_or_none(codes, markevery))
+        return Path(verts[markevery], _slice_or_none(codes, markevery))
 
-    elif iterable(markevery):
-        #fancy indexing
+    elif np.iterable(markevery):
+        # fancy indexing
         try:
-            return Path(verts[markevery],
-                    _slice_or_none(codes, markevery))
-
-        except (ValueError, IndexError):
-            raise ValueError('`markevery` is iterable but '
-                'not a valid form of numpy fancy indexing; '
-                'markevery=%s' % (markevery,))
+            return Path(verts[markevery], _slice_or_none(codes, markevery))
+        except (ValueError, IndexError) as err:
+            raise ValueError(
+                f"markevery={markevery!r} is iterable but not a valid numpy "
+                f"fancy index") from err
     else:
-        raise ValueError('Value of `markevery` is not '
-            'recognized; '
-            'markevery=%s' % (markevery,))
-
-
+        raise ValueError(f"markevery={markevery!r} is not a recognized value")
+
+
+@_docstring.interpd
+@_api.define_aliases({
+    "antialiased": ["aa"],
+    "color": ["c"],
+    "drawstyle": ["ds"],
+    "linestyle": ["ls"],
+    "linewidth": ["lw"],
+    "markeredgecolor": ["mec"],
+    "markeredgewidth": ["mew"],
+    "markerfacecolor": ["mfc"],
+    "markerfacecoloralt": ["mfcalt"],
+    "markersize": ["ms"],
+})
 class Line2D(Artist):
     """
     A line - the line can have both a solid linestyle connecting all
     the vertices, and a marker at each vertex.  Additionally, the
     drawing of the solid line is influenced by the drawstyle, e.g., one
     can create "stepped" lines in various styles.
-
-
     """
+
     lineStyles = _lineStyles = {  # hidden names deprecated
         '-':    '_draw_solid',
         '--':   '_draw_dashed',
@@ -215,12 +269,10 @@ class Line2D(Artist):
         'steps': '_draw_steps_pre',
     }
 
-    drawStyles = {}
-    drawStyles.update(_drawStyles_l)
-    drawStyles.update(_drawStyles_s)
+    # drawStyles should now be deprecated.
+    drawStyles = {**_drawStyles_l, **_drawStyles_s}
     # Need a list ordered with long names first:
-    drawStyleKeys = (list(six.iterkeys(_drawStyles_l)) +
-                     list(six.iterkeys(_drawStyles_s)))
+    drawStyleKeys = [*_drawStyles_l, *_drawStyles_s]
 
     # Referenced here to maintain API.  These are defined in
     # MarkerStyle
@@ -229,34 +281,35 @@ class Line2D(Artist):
     fillStyles = MarkerStyle.fillstyles
 
     zorder = 2
-    validCap = ('butt', 'round', 'projecting')
-    validJoin = ('miter', 'round', 'bevel')
+
+    _subslice_optim_min_size = 1000
 
     def __str__(self):
         if self._label != "":
-            return "Line2D(%s)" % (self._label)
-        elif hasattr(self, '_x') and len(self._x) > 3:
-            return "Line2D((%g,%g),(%g,%g),...,(%g,%g))"\
-                % (self._x[0], self._y[0], self._x[0],
-                   self._y[0], self._x[-1], self._y[-1])
-        elif hasattr(self, '_x'):
-            return "Line2D(%s)"\
-                % (",".join(["(%g,%g)" % (x, y) for x, y
-                             in zip(self._x, self._y)]))
-        else:
+            return f"Line2D({self._label})"
+        elif self._x is None:
             return "Line2D()"
+        elif len(self._x) > 3:
+            return "Line2D(({:g},{:g}),({:g},{:g}),...,({:g},{:g}))".format(
+                self._x[0], self._y[0],
+                self._x[1], self._y[1],
+                self._x[-1], self._y[-1])
+        else:
+            return "Line2D(%s)" % ",".join(
+                map("({:g},{:g})".format, self._x, self._y))
 
-    def __init__(self, xdata, ydata,
+    def __init__(self, xdata, ydata, *,
                  linewidth=None,  # all Nones default to rc
                  linestyle=None,
                  color=None,
+                 gapcolor=None,
                  marker=None,
                  markersize=None,
                  markeredgewidth=None,
                  markeredgecolor=None,
                  markerfacecolor=None,
                  markerfacecoloralt='none',
-                 fillstyle='full',
+                 fillstyle=None,
                  antialiased=None,
                  dash_capstyle=None,
                  solid_capstyle=None,
@@ -268,116 +321,138 @@ def __init__(self, xdata, ydata,
                  **kwargs
                  ):
         """
-        Create a :class:`~matplotlib.lines.Line2D` instance with *x*
-        and *y* data in sequences *xdata*, *ydata*.
+        Create a `.Line2D` instance with *x* and *y* data in sequences of
+        *xdata*, *ydata*.
 
-        The kwargs are :class:`~matplotlib.lines.Line2D` properties:
+        Additional keyword arguments are `.Line2D` properties:
 
-        %(Line2D)s
+        %(Line2D:kwdoc)s
 
-        See :meth:`set_linestyle` for a decription of the line styles,
+        See :meth:`set_linestyle` for a description of the line styles,
         :meth:`set_marker` for a description of the markers, and
         :meth:`set_drawstyle` for a description of the draw styles.
 
         """
-        Artist.__init__(self)
+        super().__init__()
 
-        #convert sequences to numpy arrays
-        if not iterable(xdata):
+        # Convert sequences to NumPy arrays.
+        if not np.iterable(xdata):
             raise RuntimeError('xdata must be a sequence')
-        if not iterable(ydata):
+        if not np.iterable(ydata):
             raise RuntimeError('ydata must be a sequence')
 
-        if linewidth is None:
-            linewidth = rcParams['lines.linewidth']
-
-        if linestyle is None:
-            linestyle = rcParams['lines.linestyle']
-        if marker is None:
-            marker = rcParams['lines.marker']
-        if color is None:
-            color = rcParams['lines.color']
-
-        if markersize is None:
-            markersize = rcParams['lines.markersize']
-        if antialiased is None:
-            antialiased = rcParams['lines.antialiased']
-        if dash_capstyle is None:
-            dash_capstyle = rcParams['lines.dash_capstyle']
-        if dash_joinstyle is None:
-            dash_joinstyle = rcParams['lines.dash_joinstyle']
-        if solid_capstyle is None:
-            solid_capstyle = rcParams['lines.solid_capstyle']
-        if solid_joinstyle is None:
-            solid_joinstyle = rcParams['lines.solid_joinstyle']
+        linewidth = mpl._val_or_rc(linewidth, 'lines.linewidth')
+        linestyle = mpl._val_or_rc(linestyle, 'lines.linestyle')
+        marker = mpl._val_or_rc(marker, 'lines.marker')
+        color = mpl._val_or_rc(color, 'lines.color')
+        markersize = mpl._val_or_rc(markersize, 'lines.markersize')
+        antialiased = mpl._val_or_rc(antialiased, 'lines.antialiased')
+        dash_capstyle = mpl._val_or_rc(dash_capstyle, 'lines.dash_capstyle')
+        dash_joinstyle = mpl._val_or_rc(dash_joinstyle, 'lines.dash_joinstyle')
+        solid_capstyle = mpl._val_or_rc(solid_capstyle, 'lines.solid_capstyle')
+        solid_joinstyle = mpl._val_or_rc(solid_joinstyle, 'lines.solid_joinstyle')
 
         if drawstyle is None:
             drawstyle = 'default'
 
+        self._dashcapstyle = None
+        self._dashjoinstyle = None
+        self._solidjoinstyle = None
+        self._solidcapstyle = None
         self.set_dash_capstyle(dash_capstyle)
         self.set_dash_joinstyle(dash_joinstyle)
         self.set_solid_capstyle(solid_capstyle)
         self.set_solid_joinstyle(solid_joinstyle)
 
+        self._linestyles = None
+        self._drawstyle = None
+        self._linewidth = linewidth
+        self._unscaled_dash_pattern = (0, None)  # offset, dash
+        self._dash_pattern = (0, None)  # offset, dash (scaled by linewidth)
+
+        self.set_linewidth(linewidth)
         self.set_linestyle(linestyle)
         self.set_drawstyle(drawstyle)
-        self.set_linewidth(linewidth)
+
+        self._color = None
         self.set_color(color)
-        self._marker = MarkerStyle()
-        self.set_marker(marker)
+        if marker is None:
+            marker = 'none'  # Default.
+        if not isinstance(marker, MarkerStyle):
+            self._marker = MarkerStyle(marker, fillstyle)
+        else:
+            self._marker = marker
+
+        self._gapcolor = None
+        self.set_gapcolor(gapcolor)
+
+        self._markevery = None
+        self._markersize = None
+        self._antialiased = None
+
         self.set_markevery(markevery)
         self.set_antialiased(antialiased)
         self.set_markersize(markersize)
-        self._dashSeq = None
 
-        self.set_markerfacecolor(markerfacecolor)
+        self._markeredgecolor = None
+        self._markeredgewidth = None
+        self._markerfacecolor = None
+        self._markerfacecoloralt = None
+
+        self.set_markerfacecolor(markerfacecolor)  # Normalizes None to rc.
         self.set_markerfacecoloralt(markerfacecoloralt)
-        self.set_markeredgecolor(markeredgecolor)
+        self.set_markeredgecolor(markeredgecolor)  # Normalizes None to rc.
         self.set_markeredgewidth(markeredgewidth)
-        self.set_fillstyle(fillstyle)
-
-        self.verticalOffset = None
 
         # update kwargs before updating data to give the caller a
         # chance to init axes (and hence unit support)
-        self.update(kwargs)
+        self._internal_update(kwargs)
         self.pickradius = pickradius
         self.ind_offset = 0
-        if is_numlike(self._picker):
-            self.pickradius = self._picker
+        if (isinstance(self._picker, Number) and
+                not isinstance(self._picker, bool)):
+            self._pickradius = self._picker
 
         self._xorig = np.asarray([])
         self._yorig = np.asarray([])
         self._invalidx = True
         self._invalidy = True
-        self.set_data(xdata, ydata)
+        self._x = None
+        self._y = None
+        self._xy = None
+        self._path = None
+        self._transformed_path = None
+        self._subslice = False
+        self._x_filled = None  # used in subslicing; only x is needed
 
-    def __getstate__(self):
-        state = super(Line2D, self).__getstate__()
-        # _linefunc will be restored on draw time.
-        state.pop('_lineFunc', None)
-        return state
+        self.set_data(xdata, ydata)
 
     def contains(self, mouseevent):
         """
-        Test whether the mouse event occurred on the line.  The pick
-        radius determines the precision of the location test (usually
-        within five points of the value).  Use
-        :meth:`~matplotlib.lines.Line2D.get_pickradius` or
-        :meth:`~matplotlib.lines.Line2D.set_pickradius` to view or
-        modify it.
+        Test whether *mouseevent* occurred on the line.
 
-        Returns *True* if any values are within the radius along with
-        ``{'ind': pointlist}``, where *pointlist* is the set of points
-        within the radius.
+        An event is deemed to have occurred "on" the line if it is less
+        than ``self.pickradius`` (default: 5 points) away from it.  Use
+        `~.Line2D.get_pickradius` or `~.Line2D.set_pickradius` to get or set
+        the pick radius.
 
-        TODO: sort returned indices by distance
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
+        Parameters
+        ----------
+        mouseevent : `~matplotlib.backend_bases.MouseEvent`
 
-        if not is_numlike(self.pickradius):
-            raise ValueError("pick radius should be a distance")
+        Returns
+        -------
+        contains : bool
+            Whether any values are within the radius.
+        details : dict
+            A dictionary ``{'ind': pointlist}``, where *pointlist* is a
+            list of points of the line that are within the pickradius around
+            the event position.
+
+            TODO: sort returned indices by distance
+        """
+        if self._different_canvas(mouseevent):
+            return False, {}
 
         # Make sure we have data to plot
         if self._invalidy or self._invalidx:
@@ -394,107 +469,132 @@ def contains(self, mouseevent):
         yt = xy[:, 1]
 
         # Convert pick radius from points to pixels
-        if self.figure is None:
-            warnings.warn('no figure set when check if mouse is on line')
-            pixels = self.pickradius
+        fig = self.get_figure(root=True)
+        if fig is None:
+            _log.warning('no figure set when check if mouse is on line')
+            pixels = self._pickradius
         else:
-            pixels = self.figure.dpi / 72. * self.pickradius
-
-        # the math involved in checking for containment (here and inside of
-        # segment_hits) assumes that it is OK to overflow.  In case the
-        # application has set the error flags such that an exception is raised
-        # on overflow, we temporarily set the appropriate error flags here and
-        # set them back when we are finished.
-        olderrflags = np.seterr(all='ignore')
-        try:
+            pixels = fig.dpi / 72. * self._pickradius
+
+        # The math involved in checking for containment (here and inside of
+        # segment_hits) assumes that it is OK to overflow, so temporarily set
+        # the error flags accordingly.
+        with np.errstate(all='ignore'):
             # Check for collision
             if self._linestyle in ['None', None]:
                 # If no line, return the nearby point(s)
-                d = (xt - mouseevent.x) ** 2 + (yt - mouseevent.y) ** 2
-                ind, = np.nonzero(np.less_equal(d, pixels ** 2))
+                ind, = np.nonzero(
+                    (xt - mouseevent.x) ** 2 + (yt - mouseevent.y) ** 2
+                    <= pixels ** 2)
             else:
                 # If line, return the nearby segment(s)
                 ind = segment_hits(mouseevent.x, mouseevent.y, xt, yt, pixels)
-        finally:
-            np.seterr(**olderrflags)
+                if self._drawstyle.startswith("steps"):
+                    ind //= 2
 
         ind += self.ind_offset
 
-        # Debugging message
-        if False and self._label != '':
-            print("Checking line", self._label,
-                  "at", mouseevent.x, mouseevent.y)
-            print('xt', xt)
-            print('yt', yt)
-            #print 'dx,dy', (xt-mouseevent.x)**2., (yt-mouseevent.y)**2.
-            print('ind', ind)
-
         # Return the point(s) within radius
         return len(ind) > 0, dict(ind=ind)
 
     def get_pickradius(self):
-        """return the pick radius used for containment tests"""
-        return self.pickradius
+        """
+        Return the pick radius used for containment tests.
 
-    def set_pickradius(self, d):
-        """Sets the pick radius used for containment tests
+        See `.contains` for more details.
+        """
+        return self._pickradius
 
-        ACCEPTS: float distance in points
+    def set_pickradius(self, pickradius):
         """
-        self.pickradius = d
+        Set the pick radius used for containment tests.
+
+        See `.contains` for more details.
+
+        Parameters
+        ----------
+        pickradius : float
+            Pick radius, in points.
+        """
+        if not isinstance(pickradius, Real) or pickradius < 0:
+            raise ValueError("pick radius should be a distance")
+        self._pickradius = pickradius
+
+    pickradius = property(get_pickradius, set_pickradius)
 
     def get_fillstyle(self):
         """
-        return the marker fillstyle
+        Return the marker fill style.
+
+        See also `~.Line2D.set_fillstyle`.
         """
         return self._marker.get_fillstyle()
 
     def set_fillstyle(self, fs):
         """
-        Set the marker fill style; 'full' means fill the whole marker.
-        'none' means no filling; other options are for half-filled markers.
+        Set the marker fill style.
 
-        ACCEPTS: ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none']
+        Parameters
+        ----------
+        fs : {'full', 'left', 'right', 'bottom', 'top', 'none'}
+            Possible values:
+
+            - 'full': Fill the whole marker with the *markerfacecolor*.
+            - 'left', 'right', 'bottom', 'top': Fill the marker half at
+              the given side with the *markerfacecolor*. The other
+              half of the marker is filled with *markerfacecoloralt*.
+            - 'none': No filling.
+
+            For examples see :ref:`marker_fill_styles`.
         """
-        self._marker.set_fillstyle(fs)
+        self.set_marker(MarkerStyle(self._marker.get_marker(), fs))
+        self.stale = True
 
     def set_markevery(self, every):
-        """Set the markevery property to subsample the plot when using markers.
+        """
+        Set the markevery property to subsample the plot when using markers.
 
-        e.g., if `every=5`, every 5-th marker will be plotted.
+        e.g., if ``every=5``, every 5-th marker will be plotted.
 
         Parameters
         ----------
-        every: None | int | length-2 tuple of int | slice | list/array of int |
-        float | length-2 tuple of float
+        every : None or int or (int, int) or slice or list[int] or float or \
+(float, float) or list[bool]
             Which markers to plot.
 
-            - every=None, every point will be plotted.
-            - every=N, every N-th marker will be plotted starting with
+            - ``every=None``: every point will be plotted.
+            - ``every=N``: every N-th marker will be plotted starting with
               marker 0.
-            - every=(start, N), every N-th marker, starting at point
-              start, will be plotted.
-            - every=slice(start, end, N), every N-th marker, starting at
-              point start, upto but not including point end, will be plotted.
-            - every=[i, j, m, n], only markers at points i, j, m, and n
+            - ``every=(start, N)``: every N-th marker, starting at index
+              *start*, will be plotted.
+            - ``every=slice(start, end, N)``: every N-th marker, starting at
+              index *start*, up to but not including index *end*, will be
+              plotted.
+            - ``every=[i, j, m, ...]``: only markers at the given indices
               will be plotted.
-            - every=0.1, (i.e. a float) then markers will be spaced at
-              approximately equal distances along the line; the distance
+            - ``every=[True, False, True, ...]``: only positions that are True
+              will be plotted. The list must have the same length as the data
+              points.
+            - ``every=0.1``, (i.e. a float): markers will be spaced at
+              approximately equal visual distances along the line; the distance
               along the line between markers is determined by multiplying the
-              display-coordinate distance of the axes bounding-box diagonal
-              by the value of every.
-            - every=(0.5, 0.1) (i.e. a length-2 tuple of float), the
-              same functionality as every=0.1 is exhibited but the first
-              marker will be 0.5 multiplied by the
-              display-cordinate-diagonal-distance along the line.
+              display-coordinate distance of the Axes bounding-box diagonal
+              by the value of *every*.
+            - ``every=(0.5, 0.1)`` (i.e. a length-2 tuple of float): similar
+              to ``every=0.1`` but the first marker will be offset along the
+              line by 0.5 multiplied by the
+              display-coordinate-diagonal-distance along the line.
+
+            For examples see
+            :doc:`/gallery/lines_bars_and_markers/markevery_demo`.
 
         Notes
         -----
-        Setting the markevery property will only show markers at actual data
-        points.  When using float arguments to set the markevery property
-        on irregularly spaced data, the markers will likely not appear evenly
-        spaced because the actual data points do not coincide with the
-        theoretical spacing between markers.
+        Setting *markevery* will still only draw markers at actual data points.
+        While the float argument form aims for uniform visual spacing, it has
+        to coerce from the ideal spacing to the nearest available data point.
+        Depending on the number and distribution of data points, the result
+        may still not look evenly spaced.
 
         When using a start offset to specify the first marker, the offset will
         be from the first data point which may be different from the first
@@ -506,54 +606,62 @@ def set_markevery(self, every):
         axes-bounding-box-diagonal regardless of the actual axes data limits.
 
         """
-
         self._markevery = every
+        self.stale = True
 
     def get_markevery(self):
-        """return the markevery setting"""
+        """
+        Return the markevery setting for marker subsampling.
+
+        See also `~.Line2D.set_markevery`.
+        """
         return self._markevery
 
     def set_picker(self, p):
-        """Sets the event picker details for the line.
+        """
+        Set the event picker details for the line.
 
-        ACCEPTS: float distance in points or callable pick function
-        ``fn(artist, event)``
+        Parameters
+        ----------
+        p : float or callable[[Artist, Event], tuple[bool, dict]]
+            If a float, it is used as the pick radius in points.
         """
-        if six.callable(p):
-            self._contains = p
-        else:
-            self.pickradius = p
+        if not callable(p):
+            self.set_pickradius(p)
         self._picker = p
 
-    def get_window_extent(self, renderer):
+    def get_bbox(self):
+        """Get the bounding box of this line."""
+        bbox = Bbox([[0, 0], [0, 0]])
+        bbox.update_from_data_xy(self.get_xydata())
+        return bbox
+
+    def get_window_extent(self, renderer=None):
         bbox = Bbox([[0, 0], [0, 0]])
         trans_data_to_xy = self.get_transform().transform
         bbox.update_from_data_xy(trans_data_to_xy(self.get_xydata()),
                                  ignore=True)
         # correct for marker size, if any
         if self._marker:
-            ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
+            ms = (self._markersize / 72.0 * self.get_figure(root=True).dpi) * 0.5
             bbox = bbox.padded(ms)
         return bbox
 
-    def set_axes(self, ax):
-        Artist.set_axes(self, ax)
-        if ax.xaxis is not None:
-            self._xcid = ax.xaxis.callbacks.connect('units',
-                                                    self.recache_always)
-        if ax.yaxis is not None:
-            self._ycid = ax.yaxis.callbacks.connect('units',
-                                                    self.recache_always)
-    set_axes.__doc__ = Artist.set_axes.__doc__
-
     def set_data(self, *args):
         """
-        Set the x and y data
+        Set the x and y data.
 
-        ACCEPTS: 2D array (rows are x, y) or two 1D arrays
+        Parameters
+        ----------
+        *args : (2, N) array or two 1D arrays
+
+        See Also
+        --------
+        set_xdata
+        set_ydata
         """
         if len(args) == 1:
-            x, y = args[0]
+            (x, y), = args
         else:
             x, y = args
 
@@ -566,98 +674,79 @@ def recache_always(self):
     def recache(self, always=False):
         if always or self._invalidx:
             xconv = self.convert_xunits(self._xorig)
-            if ma.isMaskedArray(self._xorig):
-                x = ma.asarray(xconv, np.float_)
-            else:
-                x = np.asarray(xconv, np.float_)
-            x = x.ravel()
+            x = _to_unmasked_float_array(xconv).ravel()
         else:
             x = self._x
         if always or self._invalidy:
             yconv = self.convert_yunits(self._yorig)
-            if ma.isMaskedArray(self._yorig):
-                y = ma.asarray(yconv, np.float_)
-            else:
-                y = np.asarray(yconv, np.float_)
-            y = y.ravel()
+            y = _to_unmasked_float_array(yconv).ravel()
         else:
             y = self._y
 
-        if len(x) == 1 and len(y) > 1:
-            x = x * np.ones(y.shape, np.float_)
-        if len(y) == 1 and len(x) > 1:
-            y = y * np.ones(x.shape, np.float_)
-
-        if len(x) != len(y):
-            raise RuntimeError('xdata and ydata must be the same length')
-
-        x = x.reshape((len(x), 1))
-        y = y.reshape((len(y), 1))
-
-        if ma.isMaskedArray(x) or ma.isMaskedArray(y):
-            self._xy = ma.concatenate((x, y), 1)
-        else:
-            self._xy = np.concatenate((x, y), 1)
-        self._x = self._xy[:, 0]  # just a view
-        self._y = self._xy[:, 1]  # just a view
+        self._xy = np.column_stack(np.broadcast_arrays(x, y)).astype(float)
+        self._x, self._y = self._xy.T  # views
 
         self._subslice = False
-        if (self.axes and len(x) > 100 and self._is_sorted(x) and
-                self.axes.name == 'rectilinear' and
-                self.axes.get_xscale() == 'linear' and
-                self._markevery is None and
-                self.get_clip_on() is True):
+        if (self.axes
+                and len(x) > self._subslice_optim_min_size
+                and _path.is_sorted_and_has_non_nan(x)
+                and self.axes.name == 'rectilinear'
+                and self.axes.get_xscale() == 'linear'
+                and self._markevery is None
+                and self.get_clip_on()
+                and self.get_transform() == self.axes.transData):
             self._subslice = True
-        if hasattr(self, '_path'):
+            nanmask = np.isnan(x)
+            if nanmask.any():
+                self._x_filled = self._x.copy()
+                indices = np.arange(len(x))
+                self._x_filled[nanmask] = np.interp(
+                    indices[nanmask], indices[~nanmask], self._x[~nanmask])
+            else:
+                self._x_filled = self._x
+
+        if self._path is not None:
             interpolation_steps = self._path._interpolation_steps
         else:
             interpolation_steps = 1
-        self._path = Path(self._xy, None, interpolation_steps)
+        xy = STEP_LOOKUP_MAP[self._drawstyle](*self._xy.T)
+        self._path = Path(np.asarray(xy).T,
+                          _interpolation_steps=interpolation_steps)
         self._transformed_path = None
         self._invalidx = False
         self._invalidy = False
 
     def _transform_path(self, subslice=None):
         """
-        Puts a TransformedPath instance at self._transformed_path,
+        Put a TransformedPath instance at self._transformed_path;
         all invalidation of the transform is then handled by the
         TransformedPath instance.
         """
         # Masked arrays are now handled by the Path class itself
         if subslice is not None:
-            _path = Path(self._xy[subslice, :])
+            xy = STEP_LOOKUP_MAP[self._drawstyle](*self._xy[subslice, :].T)
+            _path = Path(np.asarray(xy).T,
+                         _interpolation_steps=self._path._interpolation_steps)
         else:
             _path = self._path
         self._transformed_path = TransformedPath(_path, self.get_transform())
 
     def _get_transformed_path(self):
-        """
-        Return the :class:`~matplotlib.transforms.TransformedPath` instance
-        of this line.
-        """
+        """Return this line's `~matplotlib.transforms.TransformedPath`."""
         if self._transformed_path is None:
             self._transform_path()
         return self._transformed_path
 
     def set_transform(self, t):
-        """
-        set the Transformation instance used by this artist
-
-        ACCEPTS: a :class:`matplotlib.transforms.Transform` instance
-        """
-        Artist.set_transform(self, t)
+        # docstring inherited
         self._invalidx = True
         self._invalidy = True
-
-    def _is_sorted(self, x):
-        """return true if x is sorted"""
-        if len(x) < 2:
-            return 1
-        return np.amin(x[1:] - x[0:-1]) >= 0
+        super().set_transform(t)
 
     @allow_rasterization
     def draw(self, renderer):
-        """draw the Line with `renderer` unless visibility is False"""
+        # docstring inherited
+
         if not self.get_visible():
             return
 
@@ -665,78 +754,111 @@ def draw(self, renderer):
             self.recache()
         self.ind_offset = 0  # Needed for contains() method.
         if self._subslice and self.axes:
-            # Need to handle monotonically decreasing case also...
             x0, x1 = self.axes.get_xbound()
-            i0, = self._x.searchsorted([x0], 'left')
-            i1, = self._x.searchsorted([x1], 'right')
+            i0 = self._x_filled.searchsorted(x0, 'left')
+            i1 = self._x_filled.searchsorted(x1, 'right')
             subslice = slice(max(i0 - 1, 0), i1 + 1)
             self.ind_offset = subslice.start
             self._transform_path(subslice)
-
-        transf_path = self._get_transformed_path()
+        else:
+            subslice = None
 
         if self.get_path_effects():
             from matplotlib.patheffects import PathEffectRenderer
             renderer = PathEffectRenderer(self.get_path_effects(), renderer)
 
         renderer.open_group('line2d', self.get_gid())
-        gc = renderer.new_gc()
-        self._set_gc_clip(gc)
+        if self._lineStyles[self._linestyle] != '_draw_nothing':
+            tpath, affine = (self._get_transformed_path()
+                             .get_transformed_path_and_affine())
+            if len(tpath.vertices):
+                gc = renderer.new_gc()
+                self._set_gc_clip(gc)
+                gc.set_url(self.get_url())
 
-        ln_color_rgba = self._get_rgba_ln_color()
-        gc.set_foreground(ln_color_rgba, isRGBA=True)
-        gc.set_alpha(ln_color_rgba[3])
+                gc.set_antialiased(self._antialiased)
+                gc.set_linewidth(self._linewidth)
 
-        gc.set_antialiased(self._antialiased)
-        gc.set_linewidth(self._linewidth)
+                if self.is_dashed():
+                    cap = self._dashcapstyle
+                    join = self._dashjoinstyle
+                else:
+                    cap = self._solidcapstyle
+                    join = self._solidjoinstyle
+                gc.set_joinstyle(join)
+                gc.set_capstyle(cap)
+                gc.set_snap(self.get_snap())
+                if self.get_sketch_params() is not None:
+                    gc.set_sketch_params(*self.get_sketch_params())
 
-        if self.is_dashed():
-            cap = self._dashcapstyle
-            join = self._dashjoinstyle
-        else:
-            cap = self._solidcapstyle
-            join = self._solidjoinstyle
-        gc.set_joinstyle(join)
-        gc.set_capstyle(cap)
-        gc.set_snap(self.get_snap())
-        if self.get_sketch_params() is not None:
-            gc.set_sketch_params(*self.get_sketch_params())
-
-        funcname = self._lineStyles.get(self._linestyle, '_draw_nothing')
-        if funcname != '_draw_nothing':
-            tpath, affine = transf_path.get_transformed_path_and_affine()
-            if len(tpath.vertices):
-                self._lineFunc = getattr(self, funcname)
-                funcname = self.drawStyles.get(self._drawstyle, '_draw_lines')
-                drawFunc = getattr(self, funcname)
-                drawFunc(renderer, gc, tpath, affine.frozen())
+                # We first draw a path within the gaps if needed.
+                if self.is_dashed() and self._gapcolor is not None:
+                    lc_rgba = mcolors.to_rgba(self._gapcolor, self._alpha)
+                    gc.set_foreground(lc_rgba, isRGBA=True)
 
-        if self._marker:
+                    offset_gaps, gaps = _get_inverse_dash_pattern(
+                        *self._dash_pattern)
+
+                    gc.set_dashes(offset_gaps, gaps)
+                    renderer.draw_path(gc, tpath, affine.frozen())
+
+                lc_rgba = mcolors.to_rgba(self._color, self._alpha)
+                gc.set_foreground(lc_rgba, isRGBA=True)
+
+                gc.set_dashes(*self._dash_pattern)
+                renderer.draw_path(gc, tpath, affine.frozen())
+                gc.restore()
+
+        if self._marker and self._markersize > 0:
             gc = renderer.new_gc()
             self._set_gc_clip(gc)
-            rgbaFace = self._get_rgba_face()
-            rgbaFaceAlt = self._get_rgba_face(alt=True)
-            edgecolor = self.get_markeredgecolor()
-            if is_string_like(edgecolor) and edgecolor.lower() == 'none':
-                gc.set_linewidth(0)
-                gc.set_foreground(rgbaFace, isRGBA=True)
-            else:
-                gc.set_foreground(edgecolor)
-                gc.set_linewidth(self._markeredgewidth)
+            gc.set_url(self.get_url())
+            gc.set_linewidth(self._markeredgewidth)
+            gc.set_antialiased(self._antialiased)
+
+            ec_rgba = mcolors.to_rgba(
+                self.get_markeredgecolor(), self._alpha)
+            fc_rgba = mcolors.to_rgba(
+                self._get_markerfacecolor(), self._alpha)
+            fcalt_rgba = mcolors.to_rgba(
+                self._get_markerfacecolor(alt=True), self._alpha)
+            # If the edgecolor is "auto", it is set according to the *line*
+            # color but inherits the alpha value of the *face* color, if any.
+            if (cbook._str_equal(self._markeredgecolor, "auto")
+                    and not cbook._str_lower_equal(
+                        self.get_markerfacecolor(), "none")):
+                ec_rgba = ec_rgba[:3] + (fc_rgba[3],)
+            gc.set_foreground(ec_rgba, isRGBA=True)
+            if self.get_sketch_params() is not None:
+                scale, length, randomness = self.get_sketch_params()
+                gc.set_sketch_params(scale/2, length/2, 2*randomness)
 
             marker = self._marker
-            tpath, affine = transf_path.get_transformed_points_and_affine()
+
+            # Markers *must* be drawn ignoring the drawstyle (but don't pay the
+            # recaching if drawstyle is already "default").
+            if self.get_drawstyle() != "default":
+                with cbook._setattr_cm(
+                        self, _drawstyle="default", _transformed_path=None):
+                    self.recache()
+                    self._transform_path(subslice)
+                    tpath, affine = (self._get_transformed_path()
+                                     .get_transformed_points_and_affine())
+            else:
+                tpath, affine = (self._get_transformed_path()
+                                 .get_transformed_points_and_affine())
+
             if len(tpath.vertices):
                 # subsample the markers if markevery is not None
                 markevery = self.get_markevery()
                 if markevery is not None:
-                    subsampled = _mark_every_path(markevery, tpath,
-                                                  affine, self.axes.transAxes)
+                    subsampled = _mark_every_path(
+                        markevery, tpath, affine, self.axes)
                 else:
                     subsampled = tpath
 
                 snap = marker.get_snap_threshold()
-                if type(snap) == float:
+                if isinstance(snap, Real):
                     snap = renderer.points_to_pixels(self._markersize) >= snap
                 gc.set_snap(snap)
                 gc.set_joinstyle(marker.get_joinstyle())
@@ -744,93 +866,143 @@ def draw(self, renderer):
                 marker_path = marker.get_path()
                 marker_trans = marker.get_transform()
                 w = renderer.points_to_pixels(self._markersize)
-                if marker.get_marker() != ',':
+
+                if cbook._str_equal(marker.get_marker(), ","):
+                    gc.set_linewidth(0)
+                else:
                     # Don't scale for pixels, and don't stroke them
                     marker_trans = marker_trans.scale(w)
-                else:
-                    gc.set_linewidth(0)
-                if rgbaFace is not None:
-                    gc.set_alpha(rgbaFace[3])
-
                 renderer.draw_markers(gc, marker_path, marker_trans,
                                       subsampled, affine.frozen(),
-                                      rgbaFace)
+                                      fc_rgba)
 
                 alt_marker_path = marker.get_alt_path()
                 if alt_marker_path:
-                    if rgbaFaceAlt is not None:
-                        gc.set_alpha(rgbaFaceAlt[3])
                     alt_marker_trans = marker.get_alt_transform()
                     alt_marker_trans = alt_marker_trans.scale(w)
-
                     renderer.draw_markers(
                             gc, alt_marker_path, alt_marker_trans, subsampled,
-                            affine.frozen(), rgbaFaceAlt)
+                            affine.frozen(), fcalt_rgba)
 
             gc.restore()
 
-        gc.restore()
         renderer.close_group('line2d')
+        self.stale = False
 
     def get_antialiased(self):
+        """Return whether antialiased rendering is used."""
         return self._antialiased
 
     def get_color(self):
+        """
+        Return the line color.
+
+        See also `~.Line2D.set_color`.
+        """
         return self._color
 
     def get_drawstyle(self):
+        """
+        Return the drawstyle.
+
+        See also `~.Line2D.set_drawstyle`.
+        """
         return self._drawstyle
 
+    def get_gapcolor(self):
+        """
+        Return the line gapcolor.
+
+        See also `~.Line2D.set_gapcolor`.
+        """
+        return self._gapcolor
+
     def get_linestyle(self):
+        """
+        Return the linestyle.
+
+        See also `~.Line2D.set_linestyle`.
+        """
         return self._linestyle
 
     def get_linewidth(self):
+        """
+        Return the linewidth in points.
+
+        See also `~.Line2D.set_linewidth`.
+        """
         return self._linewidth
 
     def get_marker(self):
+        """
+        Return the line marker.
+
+        See also `~.Line2D.set_marker`.
+        """
         return self._marker.get_marker()
 
     def get_markeredgecolor(self):
+        """
+        Return the marker edge color.
+
+        See also `~.Line2D.set_markeredgecolor`.
+        """
         mec = self._markeredgecolor
-        if (is_string_like(mec) and mec == 'auto'):
-            if self._marker.get_marker() in ('.', ','):
-                return self._color
-            if self._marker.is_filled() and self.get_fillstyle() != 'none':
-                return 'k'  # Bad hard-wired default...
-            else:
-                return self._color
+        if cbook._str_equal(mec, 'auto'):
+            if mpl.rcParams['_internal.classic_mode']:
+                if self._marker.get_marker() in ('.', ','):
+                    return self._color
+                if (self._marker.is_filled()
+                        and self._marker.get_fillstyle() != 'none'):
+                    return 'k'  # Bad hard-wired default...
+            return self._color
         else:
             return mec
 
     def get_markeredgewidth(self):
+        """
+        Return the marker edge width in points.
+
+        See also `~.Line2D.set_markeredgewidth`.
+        """
         return self._markeredgewidth
 
     def _get_markerfacecolor(self, alt=False):
-        if alt:
-            fc = self._markerfacecoloralt
-        else:
-            fc = self._markerfacecolor
-
-        if (is_string_like(fc) and fc.lower() == 'auto'):
-            if self.get_fillstyle() == 'none':
-                return 'none'
-            else:
-                return self._color
+        if self._marker.get_fillstyle() == 'none':
+            return 'none'
+        fc = self._markerfacecoloralt if alt else self._markerfacecolor
+        if cbook._str_lower_equal(fc, 'auto'):
+            return self._color
         else:
             return fc
 
     def get_markerfacecolor(self):
+        """
+        Return the marker face color.
+
+        See also `~.Line2D.set_markerfacecolor`.
+        """
         return self._get_markerfacecolor(alt=False)
 
     def get_markerfacecoloralt(self):
+        """
+        Return the alternate marker face color.
+
+        See also `~.Line2D.set_markerfacecoloralt`.
+        """
         return self._get_markerfacecolor(alt=True)
 
     def get_markersize(self):
+        """
+        Return the marker size in points.
+
+        See also `~.Line2D.set_markersize`.
+        """
         return self._markersize
 
     def get_data(self, orig=True):
         """
-        Return the xdata, ydata.
+        Return the line data as an ``(xdata, ydata)`` pair.
 
         If *orig* is *True*, return the original data.
         """
@@ -863,464 +1035,605 @@ def get_ydata(self, orig=True):
         return self._y
 
     def get_path(self):
-        """
-        Return the :class:`~matplotlib.path.Path` object associated
-        with this line.
-        """
+        """Return the `~matplotlib.path.Path` associated with this line."""
         if self._invalidy or self._invalidx:
             self.recache()
         return self._path
 
     def get_xydata(self):
-        """
-        Return the *xy* data as a Nx2 numpy array.
-        """
+        """Return the *xy* data as a (N, 2) array."""
         if self._invalidy or self._invalidx:
             self.recache()
         return self._xy
 
     def set_antialiased(self, b):
         """
-        True if line should be drawin with antialiased rendering
+        Set whether to use antialiased rendering.
 
-        ACCEPTS: [True | False]
+        Parameters
+        ----------
+        b : bool
         """
+        if self._antialiased != b:
+            self.stale = True
         self._antialiased = b
 
     def set_color(self, color):
         """
-        Set the color of the line
+        Set the color of the line.
 
-        ACCEPTS: any matplotlib color
+        Parameters
+        ----------
+        color : :mpltype:`color`
         """
+        mcolors._check_color_like(color=color)
         self._color = color
+        self.stale = True
 
     def set_drawstyle(self, drawstyle):
         """
-        Set the drawstyle of the plot
+        Set the drawstyle of the plot.
 
-        'default' connects the points with lines. The steps variants
-        produce step-plots. 'steps' is equivalent to 'steps-pre' and
-        is maintained for backward-compatibility.
+        The drawstyle determines how the points are connected.
 
-        ACCEPTS: ['default' | 'steps' | 'steps-pre' | 'steps-mid' |
-                  'steps-post']
-        """
-        self._drawstyle = drawstyle
+        Parameters
+        ----------
+        drawstyle : {'default', 'steps', 'steps-pre', 'steps-mid', \
+'steps-post'}, default: 'default'
+            For 'default', the points are connected with straight lines.
 
-    def set_linewidth(self, w):
-        """
-        Set the line width in points
+            The steps variants connect the points with step-like lines,
+            i.e. horizontal lines with vertical steps. They differ in the
+            location of the step:
 
-        ACCEPTS: float value in points
-        """
-        self._linewidth = w
+            - 'steps-pre': The step is at the beginning of the line segment,
+              i.e. the line will be at the y-value of point to the right.
+            - 'steps-mid': The step is halfway between the points.
+            - 'steps-post: The step is at the end of the line segment,
+              i.e. the line will be at the y-value of the point to the left.
+            - 'steps' is equal to 'steps-pre' and is maintained for
+              backward-compatibility.
 
-    def set_linestyle(self, linestyle):
+            For examples see :doc:`/gallery/lines_bars_and_markers/step_demo`.
         """
-        Set the linestyle of the line (also accepts drawstyles)
+        if drawstyle is None:
+            drawstyle = 'default'
+        _api.check_in_list(self.drawStyles, drawstyle=drawstyle)
+        if self._drawstyle != drawstyle:
+            self.stale = True
+            # invalidate to trigger a recache of the path
+            self._invalidx = True
+        self._drawstyle = drawstyle
 
+    def set_gapcolor(self, gapcolor):
+        """
+        Set a color to fill the gaps in the dashed line style.
 
-        ================    =================
-        linestyle           description
-        ================    =================
-        ``'-'``             solid
-        ``'--'``            dashed
-        ``'-.'``            dash_dot
-        ``':'``             dotted
-        ``'None'``          draw nothing
-        ``' '``             draw nothing
-        ``''``              draw nothing
-        ================    =================
+        .. note::
 
-        'steps' is equivalent to 'steps-pre' and is maintained for
-        backward-compatibility.
+            Striped lines are created by drawing two interleaved dashed lines.
+            There can be overlaps between those two, which may result in
+            artifacts when using transparency.
 
-        .. seealso::
+            This functionality is experimental and may change.
 
-            :meth:`set_drawstyle`
-               To set the drawing style (stepping) of the plot.
+        Parameters
+        ----------
+        gapcolor : :mpltype:`color` or None
+            The color with which to fill the gaps. If None, the gaps are
+            unfilled.
+        """
+        if gapcolor is not None:
+            mcolors._check_color_like(color=gapcolor)
+        self._gapcolor = gapcolor
+        self.stale = True
 
-        ACCEPTS: [``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` |
-                  ``' '`` | ``''``]
+    def set_linewidth(self, w):
+        """
+        Set the line width in points.
 
-        and any drawstyle in combination with a linestyle, e.g., ``'steps--'``.
+        Parameters
+        ----------
+        w : float
+            Line width, in points.
         """
+        w = float(w)
+        if self._linewidth != w:
+            self.stale = True
+        self._linewidth = w
+        self._dash_pattern = _scale_dashes(*self._unscaled_dash_pattern, w)
 
-        for ds in self.drawStyleKeys:  # long names are first in the list
-            if linestyle.startswith(ds):
-                self.set_drawstyle(ds)
-                if len(linestyle) > len(ds):
-                    linestyle = linestyle[len(ds):]
-                else:
-                    linestyle = '-'
-                break
+    def set_linestyle(self, ls):
+        """
+        Set the linestyle of the line.
 
-        if linestyle not in self._lineStyles:
-            if linestyle in ls_mapper:
-                linestyle = ls_mapper[linestyle]
-            else:
-                verbose.report('Unrecognized line style %s, %s' %
-                               (linestyle, type(linestyle)))
-        if linestyle in [' ', '']:
-            linestyle = 'None'
-        self._linestyle = linestyle
+        Parameters
+        ----------
+        ls : {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+            Possible values:
+
+            - A string:
+
+              =======================================================  ================
+              linestyle                                                description
+              =======================================================  ================
+              ``'-'`` or ``'solid'``                                   solid line
+              ``'--'`` or ``'dashed'``                                 dashed line
+              ``'-.'`` or ``'dashdot'``                                dash-dotted line
+              ``':'`` or ``'dotted'``                                  dotted line
+              ``''`` or ``'none'`` (discouraged: ``'None'``, ``' '``)  draw nothing
+              =======================================================  ================
+
+            - Alternatively a dash tuple of the following form can be
+              provided::
+
+                  (offset, onoffseq)
+
+              where ``onoffseq`` is an even length tuple of on and off ink
+              in points. See also :meth:`set_dashes`.
+
+            For examples see :doc:`/gallery/lines_bars_and_markers/linestyles`.
+        """
+        if isinstance(ls, str):
+            if ls in [' ', '', 'none']:
+                ls = 'None'
+            _api.check_in_list([*self._lineStyles, *ls_mapper_r], ls=ls)
+            if ls not in self._lineStyles:
+                ls = ls_mapper_r[ls]
+            self._linestyle = ls
+        else:
+            self._linestyle = '--'
+        self._unscaled_dash_pattern = _get_dash_pattern(ls)
+        self._dash_pattern = _scale_dashes(
+            *self._unscaled_dash_pattern, self._linewidth)
+        self.stale = True
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def set_marker(self, marker):
         """
-        Set the line marker
+        Set the line marker.
 
         Parameters
-        -----------
-
-        marker: marker style
+        ----------
+        marker : marker style string, `~.path.Path` or `~.markers.MarkerStyle`
             See `~matplotlib.markers` for full description of possible
-            argument
-
-        """
-        self._marker.set_marker(marker)
+            arguments.
+        """
+        self._marker = MarkerStyle(marker, self._marker.get_fillstyle())
+        self.stale = True
+
+    def _set_markercolor(self, name, has_rcdefault, val):
+        if val is None:
+            val = mpl.rcParams[f"lines.{name}"] if has_rcdefault else "auto"
+        attr = f"_{name}"
+        current = getattr(self, attr)
+        if current is None:
+            self.stale = True
+        else:
+            neq = current != val
+            # Much faster than `np.any(current != val)` if no arrays are used.
+            if neq.any() if isinstance(neq, np.ndarray) else neq:
+                self.stale = True
+        setattr(self, attr, val)
 
     def set_markeredgecolor(self, ec):
         """
-        Set the marker edge color
-
-        ACCEPTS: any matplotlib color
-        """
-        if ec is None:
-            ec = 'auto'
-        self._markeredgecolor = ec
+        Set the marker edge color.
 
-    def set_markeredgewidth(self, ew):
-        """
-        Set the marker edge width in points
-
-        ACCEPTS: float value in points
+        Parameters
+        ----------
+        ec : :mpltype:`color`
         """
-        if ew is None:
-            ew = rcParams['lines.markeredgewidth']
-        self._markeredgewidth = ew
+        self._set_markercolor("markeredgecolor", True, ec)
 
     def set_markerfacecolor(self, fc):
         """
         Set the marker face color.
 
-        ACCEPTS: any matplotlib color
+        Parameters
+        ----------
+        fc : :mpltype:`color`
         """
-        if fc is None:
-            fc = 'auto'
-
-        self._markerfacecolor = fc
+        self._set_markercolor("markerfacecolor", True, fc)
 
     def set_markerfacecoloralt(self, fc):
         """
         Set the alternate marker face color.
 
-        ACCEPTS: any matplotlib color
+        Parameters
+        ----------
+        fc : :mpltype:`color`
         """
-        if fc is None:
-            fc = 'auto'
+        self._set_markercolor("markerfacecoloralt", False, fc)
 
-        self._markerfacecoloralt = fc
+    def set_markeredgewidth(self, ew):
+        """
+        Set the marker edge width in points.
+
+        Parameters
+        ----------
+        ew : float
+             Marker edge width, in points.
+        """
+        ew = mpl._val_or_rc(ew, 'lines.markeredgewidth')
+        if self._markeredgewidth != ew:
+            self.stale = True
+        self._markeredgewidth = ew
 
     def set_markersize(self, sz):
         """
-        Set the marker size in points
+        Set the marker size in points.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        sz : float
+             Marker size, in points.
         """
+        sz = float(sz)
+        if self._markersize != sz:
+            self.stale = True
         self._markersize = sz
 
     def set_xdata(self, x):
         """
-        Set the data np.array for x
+        Set the data array for x.
 
-        ACCEPTS: 1D array
+        Parameters
+        ----------
+        x : 1D array
+
+        See Also
+        --------
+        set_data
+        set_ydata
         """
-        self._xorig = x
+        if not np.iterable(x):
+            raise RuntimeError('x must be a sequence')
+        self._xorig = copy.copy(x)
         self._invalidx = True
+        self.stale = True
 
     def set_ydata(self, y):
         """
-        Set the data np.array for y
+        Set the data array for y.
 
-        ACCEPTS: 1D array
+        Parameters
+        ----------
+        y : 1D array
+
+        See Also
+        --------
+        set_data
+        set_xdata
         """
-        self._yorig = y
+        if not np.iterable(y):
+            raise RuntimeError('y must be a sequence')
+        self._yorig = copy.copy(y)
         self._invalidy = True
+        self.stale = True
 
     def set_dashes(self, seq):
         """
-        Set the dash sequence, sequence of dashes with on off ink in
-        points.  If seq is empty or if seq = (None, None), the
-        linestyle will be set to solid.
+        Set the dash sequence.
+
+        The dash sequence is a sequence of floats of even length describing
+        the length of dashes and spaces in points.
 
-        ACCEPTS: sequence of on/off ink in points
+        For example, (5, 2, 1, 2) describes a sequence of 5 point and 1 point
+        dashes separated by 2 point spaces.
+
+        See also `~.Line2D.set_gapcolor`, which allows those spaces to be
+        filled with a color.
+
+        Parameters
+        ----------
+        seq : sequence of floats (on/off ink in points) or (None, None)
+            If *seq* is empty or ``(None, None)``, the linestyle will be set
+            to solid.
         """
         if seq == (None, None) or len(seq) == 0:
             self.set_linestyle('-')
         else:
-            self.set_linestyle('--')
-        self._dashSeq = seq  # TODO: offset ignored for now
-
-    def _draw_lines(self, renderer, gc, path, trans):
-        self._lineFunc(renderer, gc, path, trans)
-
-    def _draw_steps_pre(self, renderer, gc, path, trans):
-        vertices = self._xy
-        steps = ma.zeros((2 * len(vertices) - 1, 2), np.float_)
-
-        steps[0::2, 0], steps[1::2, 0] = vertices[:, 0], vertices[:-1, 0]
-        steps[0::2, 1], steps[1:-1:2, 1] = vertices[:, 1], vertices[1:, 1]
-
-        path = Path(steps)
-        path = path.transformed(self.get_transform())
-        self._lineFunc(renderer, gc, path, IdentityTransform())
-
-    def _draw_steps_post(self, renderer, gc, path, trans):
-        vertices = self._xy
-        steps = ma.zeros((2 * len(vertices) - 1, 2), np.float_)
-
-        steps[::2, 0], steps[1:-1:2, 0] = vertices[:, 0], vertices[1:, 0]
-        steps[0::2, 1], steps[1::2, 1] = vertices[:, 1], vertices[:-1, 1]
-
-        path = Path(steps)
-        path = path.transformed(self.get_transform())
-        self._lineFunc(renderer, gc, path, IdentityTransform())
-
-    def _draw_steps_mid(self, renderer, gc, path, trans):
-        vertices = self._xy
-        steps = ma.zeros((2 * len(vertices), 2), np.float_)
-
-        steps[1:-1:2, 0] = 0.5 * (vertices[:-1, 0] + vertices[1:, 0])
-        steps[2::2, 0] = 0.5 * (vertices[:-1, 0] + vertices[1:, 0])
-        steps[0, 0] = vertices[0, 0]
-        steps[-1, 0] = vertices[-1, 0]
-        steps[0::2, 1], steps[1::2, 1] = vertices[:, 1], vertices[:, 1]
-
-        path = Path(steps)
-        path = path.transformed(self.get_transform())
-        self._lineFunc(renderer, gc, path, IdentityTransform())
-
-    def _draw_solid(self, renderer, gc, path, trans):
-        gc.set_linestyle('solid')
-        renderer.draw_path(gc, path, trans)
-
-    def _draw_dashed(self, renderer, gc, path, trans):
-        gc.set_linestyle('dashed')
-        if self._dashSeq is not None:
-            gc.set_dashes(0, self._dashSeq)
-
-        renderer.draw_path(gc, path, trans)
-
-    def _draw_dash_dot(self, renderer, gc, path, trans):
-        gc.set_linestyle('dashdot')
-        renderer.draw_path(gc, path, trans)
-
-    def _draw_dotted(self, renderer, gc, path, trans):
-        gc.set_linestyle('dotted')
-        renderer.draw_path(gc, path, trans)
+            self.set_linestyle((0, seq))
 
     def update_from(self, other):
-        """copy properties from other to self"""
-        Artist.update_from(self, other)
+        """Copy properties from *other* to self."""
+        super().update_from(other)
         self._linestyle = other._linestyle
         self._linewidth = other._linewidth
         self._color = other._color
+        self._gapcolor = other._gapcolor
         self._markersize = other._markersize
         self._markerfacecolor = other._markerfacecolor
         self._markerfacecoloralt = other._markerfacecoloralt
         self._markeredgecolor = other._markeredgecolor
         self._markeredgewidth = other._markeredgewidth
-        self._dashSeq = other._dashSeq
+        self._unscaled_dash_pattern = other._unscaled_dash_pattern
+        self._dash_pattern = other._dash_pattern
         self._dashcapstyle = other._dashcapstyle
         self._dashjoinstyle = other._dashjoinstyle
         self._solidcapstyle = other._solidcapstyle
         self._solidjoinstyle = other._solidjoinstyle
 
-        self._linestyle = other._linestyle
-        self._marker = MarkerStyle(other._marker.get_marker(),
-                                   other._marker.get_fillstyle())
+        self._marker = MarkerStyle(marker=other._marker)
         self._drawstyle = other._drawstyle
 
-    def _get_rgb_face(self, alt=False):
-        facecolor = self._get_markerfacecolor(alt=alt)
-        if is_string_like(facecolor) and facecolor.lower() == 'none':
-            rgbFace = None
-        else:
-            rgbFace = colorConverter.to_rgb(facecolor)
-        return rgbFace
-
-    def _get_rgba_face(self, alt=False):
-        facecolor = self._get_markerfacecolor(alt=alt)
-        if is_string_like(facecolor) and facecolor.lower() == 'none':
-            rgbaFace = None
-        else:
-            rgbaFace = colorConverter.to_rgba(facecolor, self._alpha)
-        return rgbaFace
-
-    def _get_rgba_ln_color(self, alt=False):
-        return colorConverter.to_rgba(self._color, self._alpha)
-
-    # some aliases....
-    def set_aa(self, val):
-        'alias for set_antialiased'
-        self.set_antialiased(val)
-
-    def set_c(self, val):
-        'alias for set_color'
-        self.set_color(val)
-
-    def set_ls(self, val):
-        """alias for set_linestyle"""
-        self.set_linestyle(val)
-
-    def set_lw(self, val):
-        """alias for set_linewidth"""
-        self.set_linewidth(val)
+    @_docstring.interpd
+    def set_dash_joinstyle(self, s):
+        """
+        How to join segments of the line if it `~Line2D.is_dashed`.
 
-    def set_mec(self, val):
-        """alias for set_markeredgecolor"""
-        self.set_markeredgecolor(val)
+        The default joinstyle is :rc:`lines.dash_joinstyle`.
 
-    def set_mew(self, val):
-        """alias for set_markeredgewidth"""
-        self.set_markeredgewidth(val)
+        Parameters
+        ----------
+        s : `.JoinStyle` or %(JoinStyle)s
+        """
+        js = JoinStyle(s)
+        if self._dashjoinstyle != js:
+            self.stale = True
+        self._dashjoinstyle = js
 
-    def set_mfc(self, val):
-        """alias for set_markerfacecolor"""
-        self.set_markerfacecolor(val)
+    @_docstring.interpd
+    def set_solid_joinstyle(self, s):
+        """
+        How to join segments if the line is solid (not `~Line2D.is_dashed`).
 
-    def set_mfcalt(self, val):
-        """alias for set_markerfacecoloralt"""
-        self.set_markerfacecoloralt(val)
+        The default joinstyle is :rc:`lines.solid_joinstyle`.
 
-    def set_ms(self, val):
-        """alias for set_markersize"""
-        self.set_markersize(val)
+        Parameters
+        ----------
+        s : `.JoinStyle` or %(JoinStyle)s
+        """
+        js = JoinStyle(s)
+        if self._solidjoinstyle != js:
+            self.stale = True
+        self._solidjoinstyle = js
 
-    def get_aa(self):
-        """alias for get_antialiased"""
-        return self.get_antialiased()
+    def get_dash_joinstyle(self):
+        """
+        Return the `.JoinStyle` for dashed lines.
 
-    def get_c(self):
-        """alias for get_color"""
-        return self.get_color()
+        See also `~.Line2D.set_dash_joinstyle`.
+        """
+        return self._dashjoinstyle.name
 
-    def get_ls(self):
-        """alias for get_linestyle"""
-        return self.get_linestyle()
+    def get_solid_joinstyle(self):
+        """
+        Return the `.JoinStyle` for solid lines.
 
-    def get_lw(self):
-        """alias for get_linewidth"""
-        return self.get_linewidth()
+        See also `~.Line2D.set_solid_joinstyle`.
+        """
+        return self._solidjoinstyle.name
 
-    def get_mec(self):
-        """alias for get_markeredgecolor"""
-        return self.get_markeredgecolor()
+    @_docstring.interpd
+    def set_dash_capstyle(self, s):
+        """
+        How to draw the end caps if the line is `~Line2D.is_dashed`.
 
-    def get_mew(self):
-        """alias for get_markeredgewidth"""
-        return self.get_markeredgewidth()
+        The default capstyle is :rc:`lines.dash_capstyle`.
 
-    def get_mfc(self):
-        """alias for get_markerfacecolor"""
-        return self.get_markerfacecolor()
+        Parameters
+        ----------
+        s : `.CapStyle` or %(CapStyle)s
+        """
+        cs = CapStyle(s)
+        if self._dashcapstyle != cs:
+            self.stale = True
+        self._dashcapstyle = cs
 
-    def get_mfcalt(self, alt=False):
-        """alias for get_markerfacecoloralt"""
-        return self.get_markerfacecoloralt()
+    @_docstring.interpd
+    def set_solid_capstyle(self, s):
+        """
+        How to draw the end caps if the line is solid (not `~Line2D.is_dashed`)
 
-    def get_ms(self):
-        """alias for get_markersize"""
-        return self.get_markersize()
+        The default capstyle is :rc:`lines.solid_capstyle`.
 
-    def set_dash_joinstyle(self, s):
-        """
-        Set the join style for dashed linestyles
-        ACCEPTS: ['miter' | 'round' | 'bevel']
+        Parameters
+        ----------
+        s : `.CapStyle` or %(CapStyle)s
         """
-        s = s.lower()
-        if s not in self.validJoin:
-            raise ValueError('set_dash_joinstyle passed "%s";\n' % (s,)
-                             + 'valid joinstyles are %s' % (self.validJoin,))
-        self._dashjoinstyle = s
+        cs = CapStyle(s)
+        if self._solidcapstyle != cs:
+            self.stale = True
+        self._solidcapstyle = cs
 
-    def set_solid_joinstyle(self, s):
-        """
-        Set the join style for solid linestyles
-        ACCEPTS: ['miter' | 'round' | 'bevel']
+    def get_dash_capstyle(self):
         """
-        s = s.lower()
-        if s not in self.validJoin:
-            raise ValueError('set_solid_joinstyle passed "%s";\n' % (s,)
-                             + 'valid joinstyles are %s' % (self.validJoin,))
-        self._solidjoinstyle = s
+        Return the `.CapStyle` for dashed lines.
 
-    def get_dash_joinstyle(self):
-        """
-        Get the join style for dashed linestyles
+        See also `~.Line2D.set_dash_capstyle`.
         """
-        return self._dashjoinstyle
+        return self._dashcapstyle.name
 
-    def get_solid_joinstyle(self):
-        """
-        Get the join style for solid linestyles
+    def get_solid_capstyle(self):
         """
-        return self._solidjoinstyle
+        Return the `.CapStyle` for solid lines.
 
-    def set_dash_capstyle(self, s):
+        See also `~.Line2D.set_solid_capstyle`.
         """
-        Set the cap style for dashed linestyles
+        return self._solidcapstyle.name
 
-        ACCEPTS: ['butt' | 'round' | 'projecting']
+    def is_dashed(self):
         """
-        s = s.lower()
-        if s not in self.validCap:
-            raise ValueError('set_dash_capstyle passed "%s";\n' % (s,)
-                             + 'valid capstyles are %s' % (self.validCap,))
+        Return whether line has a dashed linestyle.
 
-        self._dashcapstyle = s
+        A custom linestyle is assumed to be dashed, we do not inspect the
+        ``onoffseq`` directly.
 
-    def set_solid_capstyle(self, s):
+        See also `~.Line2D.set_linestyle`.
         """
-        Set the cap style for solid linestyles
+        return self._linestyle in ('--', '-.', ':')
 
-        ACCEPTS: ['butt' | 'round' |  'projecting']
-        """
-        s = s.lower()
-        if s not in self.validCap:
-            raise ValueError('set_solid_capstyle passed "%s";\n' % (s,)
-                             + 'valid capstyles are %s' % (self.validCap,))
 
-        self._solidcapstyle = s
+class AxLine(Line2D):
+    """
+    A helper class that implements `~.Axes.axline`, by recomputing the artist
+    transform at draw time.
+    """
 
-    def get_dash_capstyle(self):
+    def __init__(self, xy1, xy2, slope, **kwargs):
         """
-        Get the cap style for dashed linestyles
+        Parameters
+        ----------
+        xy1 : (float, float)
+            The first set of (x, y) coordinates for the line to pass through.
+        xy2 : (float, float) or None
+            The second set of (x, y) coordinates for the line to pass through.
+            Both *xy2* and *slope* must be passed, but one of them must be None.
+        slope : float or None
+            The slope of the line. Both *xy2* and *slope* must be passed, but one of
+            them must be None.
+        """
+        super().__init__([0, 1], [0, 1], **kwargs)
+
+        if (xy2 is None and slope is None or
+                xy2 is not None and slope is not None):
+            raise TypeError(
+                "Exactly one of 'xy2' and 'slope' must be given")
+
+        self._slope = slope
+        self._xy1 = xy1
+        self._xy2 = xy2
+
+    def get_transform(self):
+        ax = self.axes
+        points_transform = self._transform - ax.transData + ax.transScale
+
+        if self._xy2 is not None:
+            # two points were given
+            (x1, y1), (x2, y2) = \
+                points_transform.transform([self._xy1, self._xy2])
+            dx = x2 - x1
+            dy = y2 - y1
+            if dx == 0:
+                if dy == 0:
+                    raise ValueError(
+                        f"Cannot draw a line through two identical points "
+                        f"(x={(x1, x2)}, y={(y1, y2)})")
+                slope = np.inf
+            else:
+                slope = dy / dx
+        else:
+            # one point and a slope were given
+            x1, y1 = points_transform.transform(self._xy1)
+            slope = self._slope
+        (vxlo, vylo), (vxhi, vyhi) = ax.transScale.transform(ax.viewLim)
+        # General case: find intersections with view limits in either
+        # direction, and draw between the middle two points.
+        if slope == 0:
+            start = vxlo, y1
+            stop = vxhi, y1
+        elif np.isinf(slope):
+            start = x1, vylo
+            stop = x1, vyhi
+        else:
+            _, start, stop, _ = sorted([
+                (vxlo, y1 + (vxlo - x1) * slope),
+                (vxhi, y1 + (vxhi - x1) * slope),
+                (x1 + (vylo - y1) / slope, vylo),
+                (x1 + (vyhi - y1) / slope, vyhi),
+            ])
+        return (BboxTransformTo(Bbox([start, stop]))
+                + ax.transLimits + ax.transAxes)
+
+    def draw(self, renderer):
+        self._transformed_path = None  # Force regen.
+        super().draw(renderer)
+
+    def get_xy1(self):
+        """Return the *xy1* value of the line."""
+        return self._xy1
+
+    def get_xy2(self):
+        """Return the *xy2* value of the line."""
+        return self._xy2
+
+    def get_slope(self):
+        """Return the *slope* value of the line."""
+        return self._slope
+
+    def set_xy1(self, *args, **kwargs):
         """
-        return self._dashcapstyle
+        Set the *xy1* value of the line.
 
-    def get_solid_capstyle(self):
+        Parameters
+        ----------
+        xy1 : tuple[float, float]
+            Points for the line to pass through.
+        """
+        params = _api.select_matching_signature([
+            lambda self, x, y: locals(), lambda self, xy1: locals(),
+        ], self, *args, **kwargs)
+        if "x" in params:
+            _api.warn_deprecated("3.10", message=(
+                "Passing x and y separately to AxLine.set_xy1 is deprecated since "
+                "%(since)s; pass them as a single tuple instead."))
+            xy1 = params["x"], params["y"]
+        else:
+            xy1 = params["xy1"]
+        self._xy1 = xy1
+
+    def set_xy2(self, *args, **kwargs):
         """
-        Get the cap style for solid linestyles
+        Set the *xy2* value of the line.
+
+        .. note::
+
+            You can only set *xy2* if the line was created using the *xy2*
+            parameter. If the line was created using *slope*, please use
+            `~.AxLine.set_slope`.
+
+        Parameters
+        ----------
+        xy2 : tuple[float, float]
+            Points for the line to pass through.
+        """
+        if self._slope is None:
+            params = _api.select_matching_signature([
+                lambda self, x, y: locals(), lambda self, xy2: locals(),
+            ], self, *args, **kwargs)
+            if "x" in params:
+                _api.warn_deprecated("3.10", message=(
+                    "Passing x and y separately to AxLine.set_xy2 is deprecated since "
+                    "%(since)s; pass them as a single tuple instead."))
+                xy2 = params["x"], params["y"]
+            else:
+                xy2 = params["xy2"]
+            self._xy2 = xy2
+        else:
+            raise ValueError("Cannot set an 'xy2' value while 'slope' is set;"
+                             " they differ but their functionalities overlap")
+
+    def set_slope(self, slope):
         """
-        return self._solidcapstyle
+        Set the *slope* value of the line.
 
-    def is_dashed(self):
-        'return True if line is dashstyle'
-        return self._linestyle in ('--', '-.', ':')
+        .. note::
 
+            You can only set *slope* if the line was created using the *slope*
+            parameter. If the line was created using *xy2*, please use
+            `~.AxLine.set_xy2`.
 
-class VertexSelector(object):
+        Parameters
+        ----------
+        slope : float
+            The slope of the line.
+        """
+        if self._xy2 is None:
+            self._slope = slope
+        else:
+            raise ValueError("Cannot set a 'slope' value while 'xy2' is set;"
+                             " they differ but their functionalities overlap")
+
+
+class VertexSelector:
     """
-    Manage the callbacks to maintain a list of selected vertices for
-    :class:`matplotlib.lines.Line2D`. Derived classes should override
-    :meth:`~matplotlib.lines.VertexSelector.process_selected` to do
+    Manage the callbacks to maintain a list of selected vertices for `.Line2D`.
+    Derived classes should override the `process_selected` method to do
     something with the picks.
 
-    Here is an example which highlights the selected verts with red
-    circles::
+    Here is an example which highlights the selected verts with red circles::
 
         import numpy as np
         import matplotlib.pyplot as plt
@@ -1328,66 +1641,61 @@ class VertexSelector(object):
 
         class HighlightSelected(lines.VertexSelector):
             def __init__(self, line, fmt='ro', **kwargs):
-                lines.VertexSelector.__init__(self, line)
+                super().__init__(line)
                 self.markers, = self.axes.plot([], [], fmt, **kwargs)
 
             def process_selected(self, ind, xs, ys):
                 self.markers.set_data(xs, ys)
                 self.canvas.draw()
 
-        fig = plt.figure()
-        ax = fig.add_subplot(111)
+        fig, ax = plt.subplots()
         x, y = np.random.rand(2, 30)
         line, = ax.plot(x, y, 'bs-', picker=5)
 
         selector = HighlightSelected(line)
         plt.show()
-
     """
+
     def __init__(self, line):
         """
-        Initialize the class with a :class:`matplotlib.lines.Line2D`
-        instance.  The line should already be added to some
-        :class:`matplotlib.axes.Axes` instance and should have the
-        picker property set.
+        Parameters
+        ----------
+        line : `~matplotlib.lines.Line2D`
+            The line must already have been added to an `~.axes.Axes` and must
+            have its picker property set.
         """
-        if not hasattr(line, 'axes'):
+        if line.axes is None:
             raise RuntimeError('You must first add the line to the Axes')
-
         if line.get_picker() is None:
             raise RuntimeError('You must first set the picker property '
                                'of the line')
-
         self.axes = line.axes
         self.line = line
-        self.canvas = self.axes.figure.canvas
-        self.cid = self.canvas.mpl_connect('pick_event', self.onpick)
-
+        self.cid = self.canvas.callbacks._connect_picklable(
+            'pick_event', self.onpick)
         self.ind = set()
 
+    canvas = property(lambda self: self.axes.get_figure(root=True).canvas)
+
     def process_selected(self, ind, xs, ys):
         """
-        Default "do nothing" implementation of the
-        :meth:`process_selected` method.
+        Default "do nothing" implementation of the `process_selected` method.
 
-        *ind* are the indices of the selected vertices.  *xs* and *ys*
-        are the coordinates of the selected vertices.
+        Parameters
+        ----------
+        ind : list of int
+            The indices of the selected vertices.
+        xs, ys : array-like
+            The coordinates of the selected vertices.
         """
         pass
 
     def onpick(self, event):
-        """When the line is picked, update the set of selected indicies."""
+        """When the line is picked, update the set of selected indices."""
         if event.artist is not self.line:
             return
-
-        for i in event.ind:
-            if i in self.ind:
-                self.ind.remove(i)
-            else:
-                self.ind.add(i)
-
-        ind = list(self.ind)
-        ind.sort()
+        self.ind ^= set(event.ind)
+        ind = sorted(self.ind)
         xdata, ydata = self.line.get_data()
         self.process_selected(ind, xdata[ind], ydata[ind])
 
@@ -1396,9 +1704,3 @@ def onpick(self, event):
 lineMarkers = MarkerStyle.markers
 drawStyles = Line2D.drawStyles
 fillStyles = MarkerStyle.fillstyles
-
-docstring.interpd.update(Line2D=artist.kwdoc(Line2D))
-
-# You can not set the docstring of an instancemethod,
-# but you can on the underlying function.  Go figure.
-docstring.dedent_interpd(Line2D.__init__)
diff --git a/lib/matplotlib/lines.pyi b/lib/matplotlib/lines.pyi
new file mode 100644
index 000000000000..7989a03dae3a
--- /dev/null
+++ b/lib/matplotlib/lines.pyi
@@ -0,0 +1,153 @@
+from .artist import Artist
+from .axes import Axes
+from .backend_bases import MouseEvent, FigureCanvasBase
+from .path import Path
+from .transforms import Bbox
+
+from collections.abc import Callable, Sequence
+from typing import Any, Literal, overload
+from .typing import (
+    ColorType,
+    DrawStyleType,
+    FillStyleType,
+    LineStyleType,
+    CapStyleType,
+    JoinStyleType,
+    MarkEveryType,
+    MarkerType,
+)
+from numpy.typing import ArrayLike
+
+def segment_hits(
+    cx: ArrayLike, cy: ArrayLike, x: ArrayLike, y: ArrayLike, radius: ArrayLike
+) -> ArrayLike: ...
+
+class Line2D(Artist):
+    lineStyles: dict[str, str]
+    drawStyles: dict[str, str]
+    drawStyleKeys: list[str]
+    markers: dict[str | int, str]
+    filled_markers: tuple[str, ...]
+    fillStyles: tuple[str, ...]
+    zorder: float
+    ind_offset: float
+    def __init__(
+        self,
+        xdata: ArrayLike,
+        ydata: ArrayLike,
+        *,
+        linewidth: float | None = ...,
+        linestyle: LineStyleType | None = ...,
+        color: ColorType | None = ...,
+        gapcolor: ColorType | None = ...,
+        marker: MarkerType | None = ...,
+        markersize: float | None = ...,
+        markeredgewidth: float | None = ...,
+        markeredgecolor: ColorType | None = ...,
+        markerfacecolor: ColorType | None = ...,
+        markerfacecoloralt: ColorType = ...,
+        fillstyle: FillStyleType | None = ...,
+        antialiased: bool | None = ...,
+        dash_capstyle: CapStyleType | None = ...,
+        solid_capstyle: CapStyleType | None = ...,
+        dash_joinstyle: JoinStyleType | None = ...,
+        solid_joinstyle: JoinStyleType | None = ...,
+        pickradius: float = ...,
+        drawstyle: DrawStyleType | None = ...,
+        markevery: MarkEveryType | None = ...,
+        **kwargs
+    ) -> None: ...
+    def contains(self, mouseevent: MouseEvent) -> tuple[bool, dict]: ...
+    def get_pickradius(self) -> float: ...
+    def set_pickradius(self, pickradius: float) -> None: ...
+    pickradius: float
+    def get_fillstyle(self) -> FillStyleType: ...
+    stale: bool
+    def set_fillstyle(self, fs: FillStyleType) -> None: ...
+    def set_markevery(self, every: MarkEveryType) -> None: ...
+    def get_markevery(self) -> MarkEveryType: ...
+    def set_picker(
+        self, p: None | bool | float | Callable[[Artist, MouseEvent], tuple[bool, dict]]
+    ) -> None: ...
+    def get_bbox(self) -> Bbox: ...
+    @overload
+    def set_data(self, args: ArrayLike) -> None: ...
+    @overload
+    def set_data(self, x: ArrayLike, y: ArrayLike) -> None: ...
+    def recache_always(self) -> None: ...
+    def recache(self, always: bool = ...) -> None: ...
+    def get_antialiased(self) -> bool: ...
+    def get_color(self) -> ColorType: ...
+    def get_drawstyle(self) -> DrawStyleType: ...
+    def get_gapcolor(self) -> ColorType: ...
+    def get_linestyle(self) -> LineStyleType: ...
+    def get_linewidth(self) -> float: ...
+    def get_marker(self) -> MarkerType: ...
+    def get_markeredgecolor(self) -> ColorType: ...
+    def get_markeredgewidth(self) -> float: ...
+    def get_markerfacecolor(self) -> ColorType: ...
+    def get_markerfacecoloralt(self) -> ColorType: ...
+    def get_markersize(self) -> float: ...
+    def get_data(self, orig: bool = ...) -> tuple[ArrayLike, ArrayLike]: ...
+    def get_xdata(self, orig: bool = ...) -> ArrayLike: ...
+    def get_ydata(self, orig: bool = ...) -> ArrayLike: ...
+    def get_path(self) -> Path: ...
+    def get_xydata(self) -> ArrayLike: ...
+    def set_antialiased(self, b: bool) -> None: ...
+    def set_color(self, color: ColorType) -> None: ...
+    def set_drawstyle(self, drawstyle: DrawStyleType | None) -> None: ...
+    def set_gapcolor(self, gapcolor: ColorType | None) -> None: ...
+    def set_linewidth(self, w: float) -> None: ...
+    def set_linestyle(self, ls: LineStyleType) -> None: ...
+    def set_marker(self, marker: MarkerType) -> None: ...
+    def set_markeredgecolor(self, ec: ColorType | None) -> None: ...
+    def set_markerfacecolor(self, fc: ColorType | None) -> None: ...
+    def set_markerfacecoloralt(self, fc: ColorType | None) -> None: ...
+    def set_markeredgewidth(self, ew: float | None) -> None: ...
+    def set_markersize(self, sz: float) -> None: ...
+    def set_xdata(self, x: ArrayLike) -> None: ...
+    def set_ydata(self, y: ArrayLike) -> None: ...
+    def set_dashes(self, seq: Sequence[float] | tuple[None, None]) -> None: ...
+    def update_from(self, other: Artist) -> None: ...
+    def set_dash_joinstyle(self, s: JoinStyleType) -> None: ...
+    def set_solid_joinstyle(self, s: JoinStyleType) -> None: ...
+    def get_dash_joinstyle(self) -> Literal["miter", "round", "bevel"]: ...
+    def get_solid_joinstyle(self) -> Literal["miter", "round", "bevel"]: ...
+    def set_dash_capstyle(self, s: CapStyleType) -> None: ...
+    def set_solid_capstyle(self, s: CapStyleType) -> None: ...
+    def get_dash_capstyle(self) -> Literal["butt", "projecting", "round"]: ...
+    def get_solid_capstyle(self) -> Literal["butt", "projecting", "round"]: ...
+    def is_dashed(self) -> bool: ...
+
+class AxLine(Line2D):
+    def __init__(
+        self,
+        xy1: tuple[float, float],
+        xy2: tuple[float, float] | None,
+        slope: float | None,
+        **kwargs
+    ) -> None: ...
+    def get_xy1(self) -> tuple[float, float] | None: ...
+    def get_xy2(self) -> tuple[float, float] | None: ...
+    def get_slope(self) -> float: ...
+    def set_xy1(self, xy1: tuple[float, float]) -> None: ...
+    def set_xy2(self, xy2: tuple[float, float]) -> None: ...
+    def set_slope(self, slope: float) -> None: ...
+
+class VertexSelector:
+    axes: Axes
+    line: Line2D
+    cid: int
+    ind: set[int]
+    def __init__(self, line: Line2D) -> None: ...
+    @property
+    def canvas(self) -> FigureCanvasBase: ...
+    def process_selected(
+        self, ind: Sequence[int], xs: ArrayLike, ys: ArrayLike
+    ) -> None: ...
+    def onpick(self, event: Any) -> None: ...
+
+lineStyles: dict[str, str]
+lineMarkers: dict[str | int, str]
+drawStyles: dict[str, str]
+fillStyles: tuple[FillStyleType, ...]
diff --git a/lib/matplotlib/markers.py b/lib/matplotlib/markers.py
index b038d7ae8f53..9c6b3da73bcd 100644
--- a/lib/matplotlib/markers.py
+++ b/lib/matplotlib/markers.py
@@ -1,100 +1,168 @@
-"""
-This module contains functions to handle markers.  Used by both the
-marker functionality of `~matplotlib.axes.Axes.plot` and
-`~matplotlib.axes.Axes.scatter`.
+r"""
+Functions to handle markers; used by the marker functionality of
+`~matplotlib.axes.Axes.plot`, `~matplotlib.axes.Axes.scatter`, and
+`~matplotlib.axes.Axes.errorbar`.
 
 All possible markers are defined here:
 
-============================== ===============================================
-marker                         description
-============================== ===============================================
-"."                            point
-","                            pixel
-"o"                            circle
-"v"                            triangle_down
-"^"                            triangle_up
-"<"                            triangle_left
-">"                            triangle_right
-"1"                            tri_down
-"2"                            tri_up
-"3"                            tri_left
-"4"                            tri_right
-"8"                            octagon
-"s"                            square
-"p"                            pentagon
-"*"                            star
-"h"                            hexagon1
-"H"                            hexagon2
-"+"                            plus
-"x"                            x
-"D"                            diamond
-"d"                            thin_diamond
-"|"                            vline
-"_"                            hline
-TICKLEFT                       tickleft
-TICKRIGHT                      tickright
-TICKUP                         tickup
-TICKDOWN                       tickdown
-CARETLEFT                      caretleft
-CARETRIGHT                     caretright
-CARETUP                        caretup
-CARETDOWN                      caretdown
-"None"                         nothing
-None                           nothing
-" "                            nothing
-""                             nothing
-``'$...$'``                    render the string using mathtext.
-`verts`                        a list of (x, y) pairs used for Path vertices.
-                               The center of the marker is located at (0,0) and
-                               the size is normalized.
-path                           a `~matplotlib.path.Path` instance.
-(`numsides`, `style`, `angle`) see below
-============================== ===============================================
-
-The marker can also be a tuple (`numsides`, `style`, `angle`), which
-will create a custom, regular symbol.
-
-    `numsides`:
-      the number of sides
-
-    `style`:
-      the style of the regular symbol:
-
-      =====   =============================================
-      Value   Description
-      =====   =============================================
-      0       a regular polygon
-      1       a star-like symbol
-      2       an asterisk
-      3       a circle (`numsides` and `angle` is ignored)
-      =====   =============================================
-
-    `angle`:
-      the angle of rotation of the symbol, in degrees
-
-For backward compatibility, the form (`verts`, 0) is also accepted,
-but it is equivalent to just `verts` for giving a raw set of vertices
-that define the shape.
+============================== ====== =========================================
+marker                         symbol description
+============================== ====== =========================================
+``"."``                        |m00|  point
+``","``                        |m01|  pixel
+``"o"``                        |m02|  circle
+``"v"``                        |m03|  triangle_down
+``"^"``                        |m04|  triangle_up
+``"<"``                        |m05|  triangle_left
+``">"``                        |m06|  triangle_right
+``"1"``                        |m07|  tri_down
+``"2"``                        |m08|  tri_up
+``"3"``                        |m09|  tri_left
+``"4"``                        |m10|  tri_right
+``"8"``                        |m11|  octagon
+``"s"``                        |m12|  square
+``"p"``                        |m13|  pentagon
+``"P"``                        |m23|  plus (filled)
+``"*"``                        |m14|  star
+``"h"``                        |m15|  hexagon1
+``"H"``                        |m16|  hexagon2
+``"+"``                        |m17|  plus
+``"x"``                        |m18|  x
+``"X"``                        |m24|  x (filled)
+``"D"``                        |m19|  diamond
+``"d"``                        |m20|  thin_diamond
+``"|"``                        |m21|  vline
+``"_"``                        |m22|  hline
+``0`` (``TICKLEFT``)           |m25|  tickleft
+``1`` (``TICKRIGHT``)          |m26|  tickright
+``2`` (``TICKUP``)             |m27|  tickup
+``3`` (``TICKDOWN``)           |m28|  tickdown
+``4`` (``CARETLEFT``)          |m29|  caretleft
+``5`` (``CARETRIGHT``)         |m30|  caretright
+``6`` (``CARETUP``)            |m31|  caretup
+``7`` (``CARETDOWN``)          |m32|  caretdown
+``8`` (``CARETLEFTBASE``)      |m33|  caretleft (centered at base)
+``9`` (``CARETRIGHTBASE``)     |m34|  caretright (centered at base)
+``10`` (``CARETUPBASE``)       |m35|  caretup (centered at base)
+``11`` (``CARETDOWNBASE``)     |m36|  caretdown (centered at base)
+``"none"`` or ``"None"``              nothing
+``" "`` or  ``""``                    nothing
+``"$...$"``                    |m37|  Render the string using mathtext.
+                                      E.g ``"$f$"`` for marker showing the
+                                      letter ``f``.
+``verts``                             A list of (x, y) pairs used for Path
+                                      vertices. The center of the marker is
+                                      located at (0, 0) and the size is
+                                      normalized, such that the created path
+                                      is encapsulated inside the unit cell.
+``path``                              A `~matplotlib.path.Path` instance.
+``(numsides, 0, angle)``              A regular polygon with ``numsides``
+                                      sides, rotated by ``angle``.
+``(numsides, 1, angle)``              A star-like symbol with ``numsides``
+                                      sides, rotated by ``angle``.
+``(numsides, 2, angle)``              An asterisk with ``numsides`` sides,
+                                      rotated by ``angle``.
+============================== ====== =========================================
+
+Note that special symbols can be defined via the
+:ref:`STIX math font <mathtext>`,
+e.g. ``"$\u266B$"``. For an overview over the STIX font symbols refer to the
+`STIX font table <http://www.stixfonts.org/allGlyphs.html>`_.
+Also see the :doc:`/gallery/text_labels_and_annotations/stix_fonts_demo`.
+
+Integer numbers from ``0`` to ``11`` create lines and triangles. Those are
+equally accessible via capitalized variables, like ``CARETDOWNBASE``.
+Hence the following are equivalent::
+
+    plt.plot([1, 2, 3], marker=11)
+    plt.plot([1, 2, 3], marker=matplotlib.markers.CARETDOWNBASE)
+
+Markers join and cap styles can be customized by creating a new instance of
+MarkerStyle.
+A MarkerStyle can also have a custom `~matplotlib.transforms.Transform`
+allowing it to be arbitrarily rotated or offset.
+
+Examples showing the use of markers:
+
+* :doc:`/gallery/lines_bars_and_markers/marker_reference`
+* :doc:`/gallery/lines_bars_and_markers/scatter_star_poly`
+* :doc:`/gallery/lines_bars_and_markers/multivariate_marker_plot`
+
+.. |m00| image:: /_static/markers/m00.png
+.. |m01| image:: /_static/markers/m01.png
+.. |m02| image:: /_static/markers/m02.png
+.. |m03| image:: /_static/markers/m03.png
+.. |m04| image:: /_static/markers/m04.png
+.. |m05| image:: /_static/markers/m05.png
+.. |m06| image:: /_static/markers/m06.png
+.. |m07| image:: /_static/markers/m07.png
+.. |m08| image:: /_static/markers/m08.png
+.. |m09| image:: /_static/markers/m09.png
+.. |m10| image:: /_static/markers/m10.png
+.. |m11| image:: /_static/markers/m11.png
+.. |m12| image:: /_static/markers/m12.png
+.. |m13| image:: /_static/markers/m13.png
+.. |m14| image:: /_static/markers/m14.png
+.. |m15| image:: /_static/markers/m15.png
+.. |m16| image:: /_static/markers/m16.png
+.. |m17| image:: /_static/markers/m17.png
+.. |m18| image:: /_static/markers/m18.png
+.. |m19| image:: /_static/markers/m19.png
+.. |m20| image:: /_static/markers/m20.png
+.. |m21| image:: /_static/markers/m21.png
+.. |m22| image:: /_static/markers/m22.png
+.. |m23| image:: /_static/markers/m23.png
+.. |m24| image:: /_static/markers/m24.png
+.. |m25| image:: /_static/markers/m25.png
+.. |m26| image:: /_static/markers/m26.png
+.. |m27| image:: /_static/markers/m27.png
+.. |m28| image:: /_static/markers/m28.png
+.. |m29| image:: /_static/markers/m29.png
+.. |m30| image:: /_static/markers/m30.png
+.. |m31| image:: /_static/markers/m31.png
+.. |m32| image:: /_static/markers/m32.png
+.. |m33| image:: /_static/markers/m33.png
+.. |m34| image:: /_static/markers/m34.png
+.. |m35| image:: /_static/markers/m35.png
+.. |m36| image:: /_static/markers/m36.png
+.. |m37| image:: /_static/markers/m37.png
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import copy
 
-import six
-from six.moves import xrange
+from collections.abc import Sized
 
 import numpy as np
 
-from .cbook import is_math_text, is_string_like, is_numlike, iterable
-from matplotlib import rcParams
+import matplotlib as mpl
+from . import _api, cbook
 from .path import Path
 from .transforms import IdentityTransform, Affine2D
+from ._enums import JoinStyle, CapStyle
 
 # special-purpose marker identifiers:
 (TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN,
- CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN) = list(xrange(8))
+ CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN,
+ CARETLEFTBASE, CARETRIGHTBASE, CARETUPBASE, CARETDOWNBASE) = range(12)
+
+_empty_path = Path(np.empty((0, 2)))
+
 
+class MarkerStyle:
+    """
+    A class representing marker types.
 
-class MarkerStyle(object):
+    Instances are immutable. If you need to change anything, create a new
+    instance.
+
+    Attributes
+    ----------
+    markers : dict
+        All known markers.
+    filled_markers : tuple
+        All known filled markers. This is a subset of *markers*.
+    fillstyles : tuple
+        The supported fillstyles.
+    """
 
     markers = {
         '.': 'point',
@@ -120,6 +188,8 @@ class MarkerStyle(object):
         'd': 'thin_diamond',
         '|': 'vline',
         '_': 'hline',
+        'P': 'plus_filled',
+        'X': 'x_filled',
         TICKLEFT: 'tickleft',
         TICKRIGHT: 'tickright',
         TICKUP: 'tickup',
@@ -128,8 +198,12 @@ class MarkerStyle(object):
         CARETRIGHT: 'caretright',
         CARETUP: 'caretup',
         CARETDOWN: 'caretdown',
+        CARETLEFTBASE: 'caretleftbase',
+        CARETRIGHTBASE: 'caretrightbase',
+        CARETUPBASE: 'caretupbase',
+        CARETDOWNBASE: 'caretdownbase',
         "None": 'nothing',
-        None: 'nothing',
+        "none": 'nothing',
         ' ': 'nothing',
         '': 'nothing'
     }
@@ -137,65 +211,60 @@ class MarkerStyle(object):
     # Just used for informational purposes.  is_filled()
     # is calculated in the _set_* functions.
     filled_markers = (
-        'o', 'v', '^', '<', '>', '8', 's', 'p', '*', 'h', 'H', 'D', 'd')
+        '.', 'o', 'v', '^', '<', '>', '8', 's', 'p', '*', 'h', 'H', 'D', 'd',
+        'P', 'X')
 
     fillstyles = ('full', 'left', 'right', 'bottom', 'top', 'none')
     _half_fillstyles = ('left', 'right', 'bottom', 'top')
 
-    # TODO: Is this ever used as a non-constant?
-    _point_size_reduction = 0.5
-
-    def __init__(self, marker=None, fillstyle='full'):
+    def __init__(self, marker,
+                 fillstyle=None, transform=None, capstyle=None, joinstyle=None):
         """
-        MarkerStyle
-
-        Attributes
+        Parameters
         ----------
-        markers : list of known markes
+        marker : str, array-like, Path, MarkerStyle
+            - Another instance of `MarkerStyle` copies the details of that *marker*.
+            - For other possible marker values, see the module docstring
+              `matplotlib.markers`.
 
-        fillstyles : list of known fillstyles
+        fillstyle : str, default: :rc:`markers.fillstyle`
+            One of 'full', 'left', 'right', 'bottom', 'top', 'none'.
 
-        filled_markers : list of known filled markers.
+        transform : `~matplotlib.transforms.Transform`, optional
+            Transform that will be combined with the native transform of the
+            marker.
 
-        Parameters
-        ----------
-        marker : string or array_like, optional, default: None
-            See the descriptions of possible markers in the module docstring.
+        capstyle : `.CapStyle` or %(CapStyle)s, optional
+            Cap style that will override the default cap style of the marker.
 
-        fillstyle : string, optional, default: 'full'
-            'full', 'left", 'right', 'bottom', 'top', 'none'
+        joinstyle : `.JoinStyle` or %(JoinStyle)s, optional
+            Join style that will override the default join style of the marker.
         """
-        self._fillstyle = fillstyle
-        self.set_marker(marker)
-        self.set_fillstyle(fillstyle)
-
-    def __getstate__(self):
-        d = self.__dict__.copy()
-        d.pop('_marker_function')
-        return d
-
-    def __setstate__(self, statedict):
-        self.__dict__ = statedict
-        self.set_marker(self._marker)
-        self._recache()
+        self._marker_function = None
+        self._user_transform = transform
+        self._user_capstyle = CapStyle(capstyle) if capstyle is not None else None
+        self._user_joinstyle = JoinStyle(joinstyle) if joinstyle is not None else None
+        self._set_fillstyle(fillstyle)
+        self._set_marker(marker)
 
     def _recache(self):
-        self._path = Path(np.empty((0, 2)))
+        if self._marker_function is None:
+            return
+        self._path = _empty_path
         self._transform = IdentityTransform()
         self._alt_path = None
         self._alt_transform = None
         self._snap_threshold = None
-        self._joinstyle = 'round'
-        self._capstyle = 'butt'
-        self._filled = True
+        self._joinstyle = JoinStyle.round
+        self._capstyle = self._user_capstyle or CapStyle.butt
+        # Initial guess: Assume the marker is filled unless the fillstyle is
+        # set to 'none'. The marker function will override this for unfilled
+        # markers.
+        self._filled = self._fillstyle != 'none'
         self._marker_function()
 
-    if six.PY3:
-        def __bool__(self):
-            return bool(len(self._path.vertices))
-    else:
-        def __nonzero__(self):
-            return bool(len(self._path.vertices))
+    def __bool__(self):
+        return bool(len(self._path.vertices))
 
     def is_filled(self):
         return self._filled
@@ -203,74 +272,184 @@ def is_filled(self):
     def get_fillstyle(self):
         return self._fillstyle
 
-    def set_fillstyle(self, fillstyle):
+    def _set_fillstyle(self, fillstyle):
         """
-        Sets fillstyle
+        Set the fillstyle.
 
         Parameters
         ----------
-        fillstyle : string amongst known fillstyles
+        fillstyle : {'full', 'left', 'right', 'bottom', 'top', 'none'}
+            The part of the marker surface that is colored with
+            markerfacecolor.
         """
-        if fillstyle not in self.fillstyles:
-            raise ValueError("Unrecognized fillstyle %s"
-                             % ' '.join(self.fillstyles))
+        fillstyle = mpl._val_or_rc(fillstyle, 'markers.fillstyle')
+        _api.check_in_list(self.fillstyles, fillstyle=fillstyle)
         self._fillstyle = fillstyle
-        self._recache()
 
     def get_joinstyle(self):
-        return self._joinstyle
+        return self._joinstyle.name
 
     def get_capstyle(self):
-        return self._capstyle
+        return self._capstyle.name
 
     def get_marker(self):
         return self._marker
 
-    def set_marker(self, marker):
-        if (iterable(marker) and len(marker) in (2, 3) and
-                marker[1] in (0, 1, 2, 3)):
-            self._marker_function = self._set_tuple_marker
-        elif isinstance(marker, np.ndarray):
-            self._marker_function = self._set_vertices
-        elif not isinstance(marker, list) and marker in self.markers:
-            self._marker_function = getattr(
-                self, '_set_' + self.markers[marker])
-        elif is_string_like(marker) and is_math_text(marker):
+    def _set_marker(self, marker):
+        """
+        Set the marker.
+
+        Parameters
+        ----------
+        marker : str, array-like, Path, MarkerStyle
+            - Another instance of `MarkerStyle` copies the details of that *marker*.
+            - For other possible marker values see the module docstring
+              `matplotlib.markers`.
+        """
+        if isinstance(marker, str) and cbook.is_math_text(marker):
             self._marker_function = self._set_mathtext_path
+        elif isinstance(marker, (int, str)) and marker in self.markers:
+            self._marker_function = getattr(self, '_set_' + self.markers[marker])
+        elif (isinstance(marker, np.ndarray) and marker.ndim == 2 and
+                marker.shape[1] == 2):
+            self._marker_function = self._set_vertices
         elif isinstance(marker, Path):
             self._marker_function = self._set_path_marker
+        elif (isinstance(marker, Sized) and len(marker) in (2, 3) and
+                marker[1] in (0, 1, 2)):
+            self._marker_function = self._set_tuple_marker
+        elif isinstance(marker, MarkerStyle):
+            self.__dict__ = copy.deepcopy(marker.__dict__)
         else:
             try:
                 Path(marker)
                 self._marker_function = self._set_vertices
-            except ValueError:
-                raise ValueError('Unrecognized marker style {}'.format(marker))
+            except ValueError as err:
+                raise ValueError(
+                    f'Unrecognized marker style {marker!r}') from err
 
-        self._marker = marker
-        self._recache()
+        if not isinstance(marker, MarkerStyle):
+            self._marker = marker
+            self._recache()
 
     def get_path(self):
+        """
+        Return a `.Path` for the primary part of the marker.
+
+        For unfilled markers this is the whole marker, for filled markers,
+        this is the area to be drawn with *markerfacecolor*.
+        """
         return self._path
 
     def get_transform(self):
-        return self._transform.frozen()
+        """
+        Return the transform to be applied to the `.Path` from
+        `MarkerStyle.get_path()`.
+        """
+        if self._user_transform is None:
+            return self._transform.frozen()
+        else:
+            return (self._transform + self._user_transform).frozen()
 
     def get_alt_path(self):
+        """
+        Return a `.Path` for the alternate part of the marker.
+
+        For unfilled markers, this is *None*; for filled markers, this is the
+        area to be drawn with *markerfacecoloralt*.
+        """
         return self._alt_path
 
     def get_alt_transform(self):
-        return self._alt_transform.frozen()
+        """
+        Return the transform to be applied to the `.Path` from
+        `MarkerStyle.get_alt_path()`.
+        """
+        if self._user_transform is None:
+            return self._alt_transform.frozen()
+        else:
+            return (self._alt_transform + self._user_transform).frozen()
 
     def get_snap_threshold(self):
         return self._snap_threshold
 
+    def get_user_transform(self):
+        """Return user supplied part of marker transform."""
+        if self._user_transform is not None:
+            return self._user_transform.frozen()
+
+    def transformed(self, transform):
+        """
+        Return a new version of this marker with the transform applied.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Affine2D`
+            Transform will be combined with current user supplied transform.
+        """
+        new_marker = MarkerStyle(self)
+        if new_marker._user_transform is not None:
+            new_marker._user_transform += transform
+        else:
+            new_marker._user_transform = transform
+        return new_marker
+
+    def rotated(self, *, deg=None, rad=None):
+        """
+        Return a new version of this marker rotated by specified angle.
+
+        Parameters
+        ----------
+        deg : float, optional
+            Rotation angle in degrees.
+
+        rad : float, optional
+            Rotation angle in radians.
+
+        .. note:: You must specify exactly one of deg or rad.
+        """
+        if deg is None and rad is None:
+            raise ValueError('One of deg or rad is required')
+        if deg is not None and rad is not None:
+            raise ValueError('Only one of deg and rad can be supplied')
+        new_marker = MarkerStyle(self)
+        if new_marker._user_transform is None:
+            new_marker._user_transform = Affine2D()
+
+        if deg is not None:
+            new_marker._user_transform.rotate_deg(deg)
+        if rad is not None:
+            new_marker._user_transform.rotate(rad)
+
+        return new_marker
+
+    def scaled(self, sx, sy=None):
+        """
+        Return new marker scaled by specified scale factors.
+
+        If *sy* is not given, the same scale is applied in both the *x*- and
+        *y*-directions.
+
+        Parameters
+        ----------
+        sx : float
+            *X*-direction scaling factor.
+        sy : float, optional
+            *Y*-direction scaling factor.
+        """
+        if sy is None:
+            sy = sx
+
+        new_marker = MarkerStyle(self)
+        _transform = new_marker._user_transform or Affine2D()
+        new_marker._user_transform = _transform.scale(sx, sy)
+        return new_marker
+
     def _set_nothing(self):
         self._filled = False
 
     def _set_custom_marker(self, path):
-        verts = path.vertices
-        rescale = max(np.max(np.abs(verts[:, 0])),
-                      np.max(np.abs(verts[:, 1])))
+        rescale = np.max(np.abs(path.vertices))  # max of x's and y's.
         self._transform = Affine2D().scale(0.5 / rescale)
         self._path = path
 
@@ -278,92 +457,71 @@ def _set_path_marker(self):
         self._set_custom_marker(self._marker)
 
     def _set_vertices(self):
-        verts = self._marker
-        marker = Path(verts)
-        self._set_custom_marker(marker)
+        self._set_custom_marker(Path(self._marker))
 
     def _set_tuple_marker(self):
         marker = self._marker
-        if is_numlike(marker[0]):
-            if len(marker) == 2:
-                numsides, rotation = marker[0], 0.0
-            elif len(marker) == 3:
-                numsides, rotation = marker[0], marker[2]
-            symstyle = marker[1]
-            if symstyle == 0:
-                self._path = Path.unit_regular_polygon(numsides)
-                self._joinstyle = 'miter'
-            elif symstyle == 1:
-                self._path = Path.unit_regular_star(numsides)
-                self._joinstyle = 'bevel'
-            elif symstyle == 2:
-                self._path = Path.unit_regular_asterisk(numsides)
-                self._filled = False
-                self._joinstyle = 'bevel'
-            elif symstyle == 3:
-                self._path = Path.unit_circle()
-            self._transform = Affine2D().scale(0.5).rotate_deg(rotation)
+        if len(marker) == 2:
+            numsides, rotation = marker[0], 0.0
+        elif len(marker) == 3:
+            numsides, rotation = marker[0], marker[2]
+        symstyle = marker[1]
+        if symstyle == 0:
+            self._path = Path.unit_regular_polygon(numsides)
+            self._joinstyle = self._user_joinstyle or JoinStyle.miter
+        elif symstyle == 1:
+            self._path = Path.unit_regular_star(numsides)
+            self._joinstyle = self._user_joinstyle or JoinStyle.bevel
+        elif symstyle == 2:
+            self._path = Path.unit_regular_asterisk(numsides)
+            self._filled = False
+            self._joinstyle = self._user_joinstyle or JoinStyle.bevel
         else:
-            verts = np.asarray(marker[0])
-            path = Path(verts)
-            self._set_custom_marker(path)
+            raise ValueError(f"Unexpected tuple marker: {marker}")
+        self._transform = Affine2D().scale(0.5).rotate_deg(rotation)
 
     def _set_mathtext_path(self):
         """
-        Draws mathtext markers '$...$' using TextPath object.
+        Draw mathtext markers '$...$' using `.TextPath` object.
 
         Submitted by tcb
         """
         from matplotlib.text import TextPath
-        from matplotlib.font_manager import FontProperties
 
         # again, the properties could be initialised just once outside
         # this function
-        # Font size is irrelevant here, it will be rescaled based on
-        # the drawn size later
-        props = FontProperties(size=1.0)
-        text = TextPath(xy=(0, 0), s=self.get_marker(), fontproperties=props,
-                        usetex=rcParams['text.usetex'])
+        text = TextPath(xy=(0, 0), s=self.get_marker(),
+                        usetex=mpl.rcParams['text.usetex'])
         if len(text.vertices) == 0:
             return
 
-        xmin, ymin = text.vertices.min(axis=0)
-        xmax, ymax = text.vertices.max(axis=0)
-        width = xmax - xmin
-        height = ymax - ymin
-        max_dim = max(width, height)
-        self._transform = Affine2D() \
-            .translate(-xmin + 0.5 * -width, -ymin + 0.5 * -height) \
-            .scale(1.0 / max_dim)
+        bbox = text.get_extents()
+        max_dim = max(bbox.width, bbox.height)
+        self._transform = (
+            Affine2D()
+            .translate(-bbox.xmin + 0.5 * -bbox.width, -bbox.ymin + 0.5 * -bbox.height)
+            .scale(1.0 / max_dim))
         self._path = text
         self._snap = False
 
     def _half_fill(self):
-        fs = self.get_fillstyle()
-        result = fs in self._half_fillstyles
-        return result
-
-    def _set_circle(self, reduction=1.0):
-        self._transform = Affine2D().scale(0.5 * reduction)
-        self._snap_threshold = 6.0
-        fs = self.get_fillstyle()
+        return self.get_fillstyle() in self._half_fillstyles
+
+    def _set_circle(self, size=1.0):
+        self._transform = Affine2D().scale(0.5 * size)
+        self._snap_threshold = np.inf
         if not self._half_fill():
             self._path = Path.unit_circle()
         else:
-            # build a right-half circle
-            if fs == 'bottom':
-                rotate = 270.
-            elif fs == 'top':
-                rotate = 90.
-            elif fs == 'left':
-                rotate = 180.
-            else:
-                rotate = 0.
-
             self._path = self._alt_path = Path.unit_circle_righthalf()
-            self._transform.rotate_deg(rotate)
+            fs = self.get_fillstyle()
+            self._transform.rotate_deg(
+                {'right': 0, 'top': 90, 'left': 180, 'bottom': 270}[fs])
             self._alt_transform = self._transform.frozen().rotate_deg(180.)
 
+    def _set_point(self):
+        self._set_circle(size=0.5)
+
     def _set_pixel(self):
         self._path = Path.unit_rectangle()
         # Ideally, you'd want -0.5, -0.5 here, but then the snapping
@@ -378,31 +536,17 @@ def _set_pixel(self):
         self._transform = Affine2D().translate(-0.49999, -0.49999)
         self._snap_threshold = None
 
-    def _set_point(self):
-        self._set_circle(reduction=self._point_size_reduction)
-
-    _triangle_path = Path(
-        [[0.0, 1.0], [-1.0, -1.0], [1.0, -1.0], [0.0, 1.0]],
-        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    _triangle_path = Path._create_closed([[0, 1], [-1, -1], [1, -1]])
     # Going down halfway looks to small.  Golden ratio is too far.
-    _triangle_path_u = Path(
-        [[0.0, 1.0], [-3 / 5., -1 / 5.], [3 / 5., -1 / 5.], [0.0, 1.0]],
-        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
-    _triangle_path_d = Path(
-        [[-3 / 5., -1 / 5.], [3 / 5., -1 / 5.], [1.0, -1.0], [-1.0, -1.0],
-         [-3 / 5., -1 / 5.]],
-        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
-    _triangle_path_l = Path(
-        [[0.0, 1.0], [0.0, -1.0], [-1.0, -1.0], [0.0, 1.0]],
-        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
-    _triangle_path_r = Path(
-        [[0.0, 1.0], [0.0, -1.0], [1.0, -1.0], [0.0, 1.0]],
-        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    _triangle_path_u = Path._create_closed([[0, 1], [-3/5, -1/5], [3/5, -1/5]])
+    _triangle_path_d = Path._create_closed(
+        [[-3/5, -1/5], [3/5, -1/5], [1, -1], [-1, -1]])
+    _triangle_path_l = Path._create_closed([[0, 1], [0, -1], [-1, -1]])
+    _triangle_path_r = Path._create_closed([[0, 1], [0, -1], [1, -1]])
 
     def _set_triangle(self, rot, skip):
-        self._transform = Affine2D().scale(0.5, 0.5).rotate_deg(rot)
+        self._transform = Affine2D().scale(0.5).rotate_deg(rot)
         self._snap_threshold = 5.0
-        fs = self.get_fillstyle()
 
         if not self._half_fill():
             self._path = self._triangle_path
@@ -412,6 +556,7 @@ def _set_triangle(self, rot, skip):
                       self._triangle_path_d,
                       self._triangle_path_r]
 
+            fs = self.get_fillstyle()
             if fs == 'top':
                 self._path = mpaths[(0 + skip) % 4]
                 self._alt_path = mpaths[(2 + skip) % 4]
@@ -427,7 +572,7 @@ def _set_triangle(self, rot, skip):
 
             self._alt_transform = self._transform
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_triangle_up(self):
         return self._set_triangle(0.0, 0)
@@ -444,55 +589,34 @@ def _set_triangle_right(self):
     def _set_square(self):
         self._transform = Affine2D().translate(-0.5, -0.5)
         self._snap_threshold = 2.0
-        fs = self.get_fillstyle()
         if not self._half_fill():
             self._path = Path.unit_rectangle()
         else:
-            # build a bottom filled square out of two rectangles, one
-            # filled.  Use the rotation to support left, right, bottom
-            # or top
-            if fs == 'bottom':
-                rotate = 0.
-            elif fs == 'top':
-                rotate = 180.
-            elif fs == 'left':
-                rotate = 270.
-            else:
-                rotate = 90.
-
+            # Build a bottom filled square out of two rectangles, one filled.
             self._path = Path([[0.0, 0.0], [1.0, 0.0], [1.0, 0.5],
                                [0.0, 0.5], [0.0, 0.0]])
             self._alt_path = Path([[0.0, 0.5], [1.0, 0.5], [1.0, 1.0],
                                    [0.0, 1.0], [0.0, 0.5]])
+            fs = self.get_fillstyle()
+            rotate = {'bottom': 0, 'right': 90, 'top': 180, 'left': 270}[fs]
             self._transform.rotate_deg(rotate)
             self._alt_transform = self._transform
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_diamond(self):
         self._transform = Affine2D().translate(-0.5, -0.5).rotate_deg(45)
         self._snap_threshold = 5.0
-        fs = self.get_fillstyle()
         if not self._half_fill():
             self._path = Path.unit_rectangle()
         else:
-            self._path = Path([[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 0.0]])
-            self._alt_path = Path([[0.0, 0.0], [0.0, 1.0],
-                                   [1.0, 1.0], [0.0, 0.0]])
-
-            if fs == 'bottom':
-                rotate = 270.
-            elif fs == 'top':
-                rotate = 90.
-            elif fs == 'left':
-                rotate = 180.
-            else:
-                rotate = 0.
-
+            self._path = Path([[0, 0], [1, 0], [1, 1], [0, 0]])
+            self._alt_path = Path([[0, 0], [0, 1], [1, 1], [0, 0]])
+            fs = self.get_fillstyle()
+            rotate = {'right': 0, 'top': 90, 'left': 180, 'bottom': 270}[fs]
             self._transform.rotate_deg(rotate)
             self._alt_transform = self._transform
-
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_thin_diamond(self):
         self._set_diamond()
@@ -503,138 +627,100 @@ def _set_pentagon(self):
         self._snap_threshold = 5.0
 
         polypath = Path.unit_regular_polygon(5)
-        fs = self.get_fillstyle()
 
         if not self._half_fill():
             self._path = polypath
         else:
             verts = polypath.vertices
-
             y = (1 + np.sqrt(5)) / 4.
-            top = Path([verts[0], verts[1], verts[4], verts[0]])
-            bottom = Path([verts[1], verts[2], verts[3], verts[4], verts[1]])
+            top = Path(verts[[0, 1, 4, 0]])
+            bottom = Path(verts[[1, 2, 3, 4, 1]])
             left = Path([verts[0], verts[1], verts[2], [0, -y], verts[0]])
             right = Path([verts[0], verts[4], verts[3], [0, -y], verts[0]])
-
-            if fs == 'top':
-                mpath, mpath_alt = top, bottom
-            elif fs == 'bottom':
-                mpath, mpath_alt = bottom, top
-            elif fs == 'left':
-                mpath, mpath_alt = left, right
-            else:
-                mpath, mpath_alt = right, left
-            self._path = mpath
-            self._alt_path = mpath_alt
+            self._path, self._alt_path = {
+                'top': (top, bottom), 'bottom': (bottom, top),
+                'left': (left, right), 'right': (right, left),
+            }[self.get_fillstyle()]
             self._alt_transform = self._transform
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_star(self):
         self._transform = Affine2D().scale(0.5)
         self._snap_threshold = 5.0
 
-        fs = self.get_fillstyle()
         polypath = Path.unit_regular_star(5, innerCircle=0.381966)
 
         if not self._half_fill():
             self._path = polypath
         else:
             verts = polypath.vertices
-
-            top = Path(np.vstack((verts[0:4, :], verts[7:10, :], verts[0])))
-            bottom = Path(np.vstack((verts[3:8, :], verts[3])))
-            left = Path(np.vstack((verts[0:6, :], verts[0])))
-            right = Path(np.vstack((verts[0], verts[5:10, :], verts[0])))
-
-            if fs == 'top':
-                mpath, mpath_alt = top, bottom
-            elif fs == 'bottom':
-                mpath, mpath_alt = bottom, top
-            elif fs == 'left':
-                mpath, mpath_alt = left, right
-            else:
-                mpath, mpath_alt = right, left
-            self._path = mpath
-            self._alt_path = mpath_alt
+            top = Path(np.concatenate([verts[0:4], verts[7:10], verts[0:1]]))
+            bottom = Path(np.concatenate([verts[3:8], verts[3:4]]))
+            left = Path(np.concatenate([verts[0:6], verts[0:1]]))
+            right = Path(np.concatenate([verts[0:1], verts[5:10], verts[0:1]]))
+            self._path, self._alt_path = {
+                'top': (top, bottom), 'bottom': (bottom, top),
+                'left': (left, right), 'right': (right, left),
+            }[self.get_fillstyle()]
             self._alt_transform = self._transform
 
-        self._joinstyle = 'bevel'
+        self._joinstyle = self._user_joinstyle or JoinStyle.bevel
 
     def _set_hexagon1(self):
         self._transform = Affine2D().scale(0.5)
         self._snap_threshold = None
 
-        fs = self.get_fillstyle()
         polypath = Path.unit_regular_polygon(6)
 
         if not self._half_fill():
             self._path = polypath
         else:
             verts = polypath.vertices
-
             # not drawing inside lines
             x = np.abs(np.cos(5 * np.pi / 6.))
-            top = Path(np.vstack(([-x, 0], verts[(1, 0, 5), :], [x, 0])))
-            bottom = Path(np.vstack(([-x, 0], verts[2:5, :], [x, 0])))
-            left = Path(verts[(0, 1, 2, 3), :])
-            right = Path(verts[(0, 5, 4, 3), :])
-
-            if fs == 'top':
-                mpath, mpath_alt = top, bottom
-            elif fs == 'bottom':
-                mpath, mpath_alt = bottom, top
-            elif fs == 'left':
-                mpath, mpath_alt = left, right
-            else:
-                mpath, mpath_alt = right, left
-
-            self._path = mpath
-            self._alt_path = mpath_alt
+            top = Path(np.concatenate([[(-x, 0)], verts[[1, 0, 5]], [(x, 0)]]))
+            bottom = Path(np.concatenate([[(-x, 0)], verts[2:5], [(x, 0)]]))
+            left = Path(verts[0:4])
+            right = Path(verts[[0, 5, 4, 3]])
+            self._path, self._alt_path = {
+                'top': (top, bottom), 'bottom': (bottom, top),
+                'left': (left, right), 'right': (right, left),
+            }[self.get_fillstyle()]
             self._alt_transform = self._transform
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_hexagon2(self):
         self._transform = Affine2D().scale(0.5).rotate_deg(30)
         self._snap_threshold = None
 
-        fs = self.get_fillstyle()
         polypath = Path.unit_regular_polygon(6)
 
         if not self._half_fill():
             self._path = polypath
         else:
             verts = polypath.vertices
-
             # not drawing inside lines
             x, y = np.sqrt(3) / 4, 3 / 4.
-            top = Path(verts[(1, 0, 5, 4, 1), :])
-            bottom = Path(verts[(1, 2, 3, 4), :])
-            left = Path(np.vstack(([x, y], verts[(0, 1, 2), :],
-                                   [-x, -y], [x, y])))
-            right = Path(np.vstack(([x, y], verts[(5, 4, 3), :], [-x, -y])))
-
-            if fs == 'top':
-                mpath, mpath_alt = top, bottom
-            elif fs == 'bottom':
-                mpath, mpath_alt = bottom, top
-            elif fs == 'left':
-                mpath, mpath_alt = left, right
-            else:
-                mpath, mpath_alt = right, left
-
-            self._path = mpath
-            self._alt_path = mpath_alt
+            top = Path(verts[[1, 0, 5, 4, 1]])
+            bottom = Path(verts[1:5])
+            left = Path(np.concatenate([
+                [(x, y)], verts[:3], [(-x, -y), (x, y)]]))
+            right = Path(np.concatenate([
+                [(x, y)], verts[5:2:-1], [(-x, -y)]]))
+            self._path, self._alt_path = {
+                'top': (top, bottom), 'bottom': (bottom, top),
+                'left': (left, right), 'right': (right, left),
+            }[self.get_fillstyle()]
             self._alt_transform = self._transform
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_octagon(self):
         self._transform = Affine2D().scale(0.5)
         self._snap_threshold = 5.0
 
-        fs = self.get_fillstyle()
         polypath = Path.unit_regular_polygon(8)
 
         if not self._half_fill():
@@ -642,23 +728,15 @@ def _set_octagon(self):
             self._path = polypath
         else:
             x = np.sqrt(2.) / 4.
-            half = Path([[0, -1], [0, 1], [-x, 1], [-1, x],
-                         [-1, -x], [-x, -1], [0, -1]])
-
-            if fs == 'bottom':
-                rotate = 90.
-            elif fs == 'top':
-                rotate = 270.
-            elif fs == 'right':
-                rotate = 180.
-            else:
-                rotate = 0.
-
-            self._transform.rotate_deg(rotate)
-            self._path = self._alt_path = half
+            self._path = self._alt_path = Path(
+                [[0, -1], [0, 1], [-x, 1], [-1, x],
+                 [-1, -x], [-x, -1], [0, -1]])
+            fs = self.get_fillstyle()
+            self._transform.rotate_deg(
+                {'left': 0, 'bottom': 90, 'right': 180, 'top': 270}[fs])
             self._alt_transform = self._transform.frozen().rotate_deg(180.0)
 
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     _line_marker_path = Path([[0.0, -1.0], [0.0, 1.0]])
 
@@ -669,10 +747,8 @@ def _set_vline(self):
         self._path = self._line_marker_path
 
     def _set_hline(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(90)
-        self._snap_threshold = 1.0
-        self._filled = False
-        self._path = self._line_marker_path
+        self._set_vline()
+        self._transform = self._transform.rotate_deg(90)
 
     _tickhoriz_path = Path([[0.0, 0.0], [1.0, 0.0]])
 
@@ -702,17 +778,6 @@ def _set_tickdown(self):
         self._filled = False
         self._path = self._tickvert_path
 
-    _plus_path = Path([[-1.0, 0.0], [1.0, 0.0],
-                       [0.0, -1.0], [0.0, 1.0]],
-                      [Path.MOVETO, Path.LINETO,
-                       Path.MOVETO, Path.LINETO])
-
-    def _set_plus(self):
-        self._transform = Affine2D().scale(0.5)
-        self._snap_threshold = 1.0
-        self._filled = False
-        self._path = self._plus_path
-
     _tri_path = Path([[0.0, 0.0], [0.0, -1.0],
                       [0.0, 0.0], [0.8, 0.5],
                       [0.0, 0.0], [-0.8, 0.5]],
@@ -727,22 +792,16 @@ def _set_tri_down(self):
         self._path = self._tri_path
 
     def _set_tri_up(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(180)
-        self._snap_threshold = 5.0
-        self._filled = False
-        self._path = self._tri_path
+        self._set_tri_down()
+        self._transform = self._transform.rotate_deg(180)
 
     def _set_tri_left(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(270)
-        self._snap_threshold = 5.0
-        self._filled = False
-        self._path = self._tri_path
+        self._set_tri_down()
+        self._transform = self._transform.rotate_deg(270)
 
     def _set_tri_right(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(90)
-        self._snap_threshold = 5.0
-        self._filled = False
-        self._path = self._tri_path
+        self._set_tri_down()
+        self._transform = self._transform.rotate_deg(90)
 
     _caret_path = Path([[-1.0, 1.5], [0.0, 0.0], [1.0, 1.5]])
 
@@ -751,28 +810,48 @@ def _set_caretdown(self):
         self._snap_threshold = 3.0
         self._filled = False
         self._path = self._caret_path
-        self._joinstyle = 'miter'
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
 
     def _set_caretup(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(180)
-        self._snap_threshold = 3.0
-        self._filled = False
-        self._path = self._caret_path
-        self._joinstyle = 'miter'
+        self._set_caretdown()
+        self._transform = self._transform.rotate_deg(180)
 
     def _set_caretleft(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(270)
-        self._snap_threshold = 3.0
-        self._filled = False
-        self._path = self._caret_path
-        self._joinstyle = 'miter'
+        self._set_caretdown()
+        self._transform = self._transform.rotate_deg(270)
 
     def _set_caretright(self):
-        self._transform = Affine2D().scale(0.5).rotate_deg(90)
-        self._snap_threshold = 3.0
+        self._set_caretdown()
+        self._transform = self._transform.rotate_deg(90)
+
+    _caret_path_base = Path([[-1.0, 0.0], [0.0, -1.5], [1.0, 0]])
+
+    def _set_caretdownbase(self):
+        self._set_caretdown()
+        self._path = self._caret_path_base
+
+    def _set_caretupbase(self):
+        self._set_caretdownbase()
+        self._transform = self._transform.rotate_deg(180)
+
+    def _set_caretleftbase(self):
+        self._set_caretdownbase()
+        self._transform = self._transform.rotate_deg(270)
+
+    def _set_caretrightbase(self):
+        self._set_caretdownbase()
+        self._transform = self._transform.rotate_deg(90)
+
+    _plus_path = Path([[-1.0, 0.0], [1.0, 0.0],
+                       [0.0, -1.0], [0.0, 1.0]],
+                      [Path.MOVETO, Path.LINETO,
+                       Path.MOVETO, Path.LINETO])
+
+    def _set_plus(self):
+        self._transform = Affine2D().scale(0.5)
+        self._snap_threshold = 1.0
         self._filled = False
-        self._path = self._caret_path
-        self._joinstyle = 'miter'
+        self._path = self._plus_path
 
     _x_path = Path([[-1.0, -1.0], [1.0, 1.0],
                     [-1.0, 1.0], [1.0, -1.0]],
@@ -784,3 +863,45 @@ def _set_x(self):
         self._snap_threshold = 3.0
         self._filled = False
         self._path = self._x_path
+
+    _plus_filled_path = Path._create_closed(np.array([
+        (-1, -3), (+1, -3), (+1, -1), (+3, -1), (+3, +1), (+1, +1),
+        (+1, +3), (-1, +3), (-1, +1), (-3, +1), (-3, -1), (-1, -1)]) / 6)
+    _plus_filled_path_t = Path._create_closed(np.array([
+        (+3, 0), (+3, +1), (+1, +1), (+1, +3),
+        (-1, +3), (-1, +1), (-3, +1), (-3, 0)]) / 6)
+
+    def _set_plus_filled(self):
+        self._transform = Affine2D()
+        self._snap_threshold = 5.0
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
+        if not self._half_fill():
+            self._path = self._plus_filled_path
+        else:
+            # Rotate top half path to support all partitions
+            self._path = self._alt_path = self._plus_filled_path_t
+            fs = self.get_fillstyle()
+            self._transform.rotate_deg(
+                {'top': 0, 'left': 90, 'bottom': 180, 'right': 270}[fs])
+            self._alt_transform = self._transform.frozen().rotate_deg(180)
+
+    _x_filled_path = Path._create_closed(np.array([
+        (-1, -2), (0, -1), (+1, -2), (+2, -1), (+1, 0), (+2, +1),
+        (+1, +2), (0, +1), (-1, +2), (-2, +1), (-1, 0), (-2, -1)]) / 4)
+    _x_filled_path_t = Path._create_closed(np.array([
+        (+1, 0), (+2, +1), (+1, +2), (0, +1),
+        (-1, +2), (-2, +1), (-1, 0)]) / 4)
+
+    def _set_x_filled(self):
+        self._transform = Affine2D()
+        self._snap_threshold = 5.0
+        self._joinstyle = self._user_joinstyle or JoinStyle.miter
+        if not self._half_fill():
+            self._path = self._x_filled_path
+        else:
+            # Rotate top half path to support all partitions
+            self._path = self._alt_path = self._x_filled_path_t
+            fs = self.get_fillstyle()
+            self._transform.rotate_deg(
+                {'top': 0, 'left': 90, 'bottom': 180, 'right': 270}[fs])
+            self._alt_transform = self._transform.frozen().rotate_deg(180)
diff --git a/lib/matplotlib/markers.pyi b/lib/matplotlib/markers.pyi
new file mode 100644
index 000000000000..bd2f7dbcaf0c
--- /dev/null
+++ b/lib/matplotlib/markers.pyi
@@ -0,0 +1,51 @@
+from typing import Literal
+
+from .path import Path
+from .transforms import Affine2D, Transform
+
+from numpy.typing import ArrayLike
+from .typing import CapStyleType, FillStyleType, JoinStyleType
+
+TICKLEFT: int
+TICKRIGHT: int
+TICKUP: int
+TICKDOWN: int
+CARETLEFT: int
+CARETRIGHT: int
+CARETUP: int
+CARETDOWN: int
+CARETLEFTBASE: int
+CARETRIGHTBASE: int
+CARETUPBASE: int
+CARETDOWNBASE: int
+
+class MarkerStyle:
+    markers: dict[str | int, str]
+    filled_markers: tuple[str, ...]
+    fillstyles: tuple[FillStyleType, ...]
+
+    def __init__(
+        self,
+        marker: str | ArrayLike | Path | MarkerStyle,
+        fillstyle: FillStyleType | None = ...,
+        transform: Transform | None = ...,
+        capstyle: CapStyleType | None = ...,
+        joinstyle: JoinStyleType | None = ...,
+    ) -> None: ...
+    def __bool__(self) -> bool: ...
+    def is_filled(self) -> bool: ...
+    def get_fillstyle(self) -> FillStyleType: ...
+    def get_joinstyle(self) -> Literal["miter", "round", "bevel"]: ...
+    def get_capstyle(self) -> Literal["butt", "projecting", "round"]: ...
+    def get_marker(self) -> str | ArrayLike | Path | None: ...
+    def get_path(self) -> Path: ...
+    def get_transform(self) -> Transform: ...
+    def get_alt_path(self) -> Path | None: ...
+    def get_alt_transform(self) -> Transform: ...
+    def get_snap_threshold(self) -> float | None: ...
+    def get_user_transform(self) -> Transform | None: ...
+    def transformed(self, transform: Affine2D) -> MarkerStyle: ...
+    def rotated(
+        self, *, deg: float | None = ..., rad: float | None = ...
+    ) -> MarkerStyle: ...
+    def scaled(self, sx: float, sy: float | None = ...) -> MarkerStyle: ...
diff --git a/lib/matplotlib/mathtext.py b/lib/matplotlib/mathtext.py
index 1962d082f4c2..a88c35c15676 100644
--- a/lib/matplotlib/mathtext.py
+++ b/lib/matplotlib/mathtext.py
@@ -1,3157 +1,140 @@
 r"""
-:mod:`~matplotlib.mathtext` is a module for parsing a subset of the
-TeX math syntax and drawing them to a matplotlib backend.
+A module for parsing a subset of the TeX math syntax and rendering it to a
+Matplotlib backend.
 
-For a tutorial of its usage see :ref:`mathtext-tutorial`.  This
+For a tutorial of its usage, see :ref:`mathtext`.  This
 document is primarily concerned with implementation details.
 
 The module uses pyparsing_ to parse the TeX expression.
 
-.. _pyparsing: http://pyparsing.wikispaces.com/
+.. _pyparsing: https://pypi.org/project/pyparsing/
 
 The Bakoma distribution of the TeX Computer Modern fonts, and STIX
 fonts are supported.  There is experimental support for using
 arbitrary fonts, but results may vary without proper tweaking and
 metrics for those fonts.
+"""
 
-If you find TeX expressions that don't parse or render properly,
-please email mdroe@stsci.edu, but please check KNOWN ISSUES below first.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os, sys
-from six import unichr
-from math import ceil
-try:
-    set
-except NameError:
-    from sets import Set as set
-import unicodedata
-from warnings import warn
-
-from numpy import inf, isinf
-import numpy as np
-
-import pyparsing
-from pyparsing import Combine, Group, Optional, Forward, \
-     Literal, OneOrMore, ZeroOrMore, ParseException, Empty, \
-     ParseResults, Suppress, oneOf, StringEnd, ParseFatalException, \
-     FollowedBy, Regex, ParserElement, QuotedString, ParseBaseException
-
-# Enable packrat parsing
-if (six.PY3 and
-    [int(x) for x in pyparsing.__version__.split('.')] < [2, 0, 0]):
-    warn("Due to a bug in pyparsing <= 2.0.0 on Python 3.x, packrat parsing "
-         "has been disabled.  Mathtext rendering will be much slower as a "
-         "result.  Install pyparsing 2.0.0 or later to improve performance.")
-else:
-    ParserElement.enablePackrat()
-
-from matplotlib.afm import AFM
-from matplotlib.cbook import Bunch, get_realpath_and_stat, \
-    is_string_like, maxdict
-from matplotlib.ft2font import FT2Font, FT2Image, KERNING_DEFAULT, LOAD_FORCE_AUTOHINT, LOAD_NO_HINTING
-from matplotlib.font_manager import findfont, FontProperties
-from matplotlib._mathtext_data import latex_to_bakoma, \
-        latex_to_standard, tex2uni, latex_to_cmex, stix_virtual_fonts
-from matplotlib import get_data_path, rcParams
-
-import matplotlib.colors as mcolors
-import matplotlib._png as _png
-####################
-
-
-
-##############################################################################
-# FONTS
-
-def get_unicode_index(symbol):
-    """get_unicode_index(symbol) -> integer
-
-Return the integer index (from the Unicode table) of symbol.  *symbol*
-can be a single unicode character, a TeX command (i.e. r'\pi'), or a
-Type1 symbol name (i.e. 'phi').
-"""
-    # From UTF #25: U+2212 minus sign is the preferred
-    # representation of the unary and binary minus sign rather than
-    # the ASCII-derived U+002D hyphen-minus, because minus sign is
-    # unambiguous and because it is rendered with a more desirable
-    # length, usually longer than a hyphen.
-    if symbol == '-':
-        return 0x2212
-    try:# This will succeed if symbol is a single unicode char
-        return ord(symbol)
-    except TypeError:
-        pass
-    try:# Is symbol a TeX symbol (i.e. \alpha)
-        return tex2uni[symbol.strip("\\")]
-    except KeyError:
-        message = """'%(symbol)s' is not a valid Unicode character or
-TeX/Type1 symbol"""%locals()
-        raise ValueError(message)
-
-def unichr_safe(index):
-    """Return the Unicode character corresponding to the index,
-or the replacement character if this is a narrow build of Python
-and the requested character is outside the BMP."""
-    try:
-        return unichr(index)
-    except ValueError:
-        return unichr(0xFFFD)
-
-class MathtextBackend(object):
-    """
-    The base class for the mathtext backend-specific code.  The
-    purpose of :class:`MathtextBackend` subclasses is to interface
-    between mathtext and a specific matplotlib graphics backend.
-
-    Subclasses need to override the following:
-
-      - :meth:`render_glyph`
-      - :meth:`render_filled_rect`
-      - :meth:`get_results`
-
-    And optionally, if you need to use a Freetype hinting style:
-
-      - :meth:`get_hinting_type`
-    """
-    def __init__(self):
-        self.width = 0
-        self.height = 0
-        self.depth = 0
-
-    def set_canvas_size(self, w, h, d):
-        'Dimension the drawing canvas'
-        self.width  = w
-        self.height = h
-        self.depth  = d
-
-    def render_glyph(self, ox, oy, info):
-        """
-        Draw a glyph described by *info* to the reference point (*ox*,
-        *oy*).
-        """
-        raise NotImplementedError()
-
-    def render_filled_rect(self, x1, y1, x2, y2):
-        """
-        Draw a filled black rectangle from (*x1*, *y1*) to (*x2*, *y2*).
-        """
-        raise NotImplementedError()
-
-    def get_results(self, box):
-        """
-        Return a backend-specific tuple to return to the backend after
-        all processing is done.
-        """
-        raise NotImplementedError()
-
-    def get_hinting_type(self):
-        """
-        Get the Freetype hinting type to use with this particular
-        backend.
-        """
-        return LOAD_NO_HINTING
-
-class MathtextBackendAgg(MathtextBackend):
-    """
-    Render glyphs and rectangles to an FTImage buffer, which is later
-    transferred to the Agg image by the Agg backend.
-    """
-    def __init__(self):
-        self.ox = 0
-        self.oy = 0
-        self.image = None
-        self.mode = 'bbox'
-        self.bbox = [0, 0, 0, 0]
-        MathtextBackend.__init__(self)
-
-    def _update_bbox(self, x1, y1, x2, y2):
-        self.bbox = [min(self.bbox[0], x1),
-                     min(self.bbox[1], y1),
-                     max(self.bbox[2], x2),
-                     max(self.bbox[3], y2)]
-
-    def set_canvas_size(self, w, h, d):
-        MathtextBackend.set_canvas_size(self, w, h, d)
-        if self.mode != 'bbox':
-            self.image = FT2Image(ceil(w), ceil(h + d))
-
-    def render_glyph(self, ox, oy, info):
-        if self.mode == 'bbox':
-            self._update_bbox(ox + info.metrics.xmin,
-                              oy - info.metrics.ymax,
-                              ox + info.metrics.xmax,
-                              oy - info.metrics.ymin)
-        else:
-            info.font.draw_glyph_to_bitmap(
-                self.image, ox, oy - info.metrics.iceberg, info.glyph,
-                antialiased=rcParams['text.antialiased'])
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        if self.mode == 'bbox':
-            self._update_bbox(x1, y1, x2, y2)
-        else:
-            height = max(int(y2 - y1) - 1, 0)
-            if height == 0:
-                center = (y2 + y1) / 2.0
-                y = int(center - (height + 1) / 2.0)
-            else:
-                y = int(y1)
-            self.image.draw_rect_filled(int(x1), y, ceil(x2), y + height)
-
-    def get_results(self, box, used_characters):
-        self.mode = 'bbox'
-        orig_height = box.height
-        orig_depth  = box.depth
-        ship(0, 0, box)
-        bbox = self.bbox
-        bbox = [bbox[0] - 1, bbox[1] - 1, bbox[2] + 1, bbox[3] + 1]
-        self.mode = 'render'
-        self.set_canvas_size(
-            bbox[2] - bbox[0],
-            (bbox[3] - bbox[1]) - orig_depth,
-            (bbox[3] - bbox[1]) - orig_height)
-        ship(-bbox[0], -bbox[1], box)
-        result = (self.ox,
-                  self.oy,
-                  self.width,
-                  self.height + self.depth,
-                  self.depth,
-                  self.image,
-                  used_characters)
-        self.image = None
-        return result
-
-    def get_hinting_type(self):
-        from matplotlib.backends import backend_agg
-        return backend_agg.get_hinting_flag()
-
-class MathtextBackendBitmap(MathtextBackendAgg):
-    def get_results(self, box, used_characters):
-        ox, oy, width, height, depth, image, characters = \
-            MathtextBackendAgg.get_results(self, box, used_characters)
-        return image, depth
-
-class MathtextBackendPs(MathtextBackend):
-    """
-    Store information to write a mathtext rendering to the PostScript
-    backend.
-    """
-    def __init__(self):
-        self.pswriter = six.moves.cStringIO()
-        self.lastfont = None
-
-    def render_glyph(self, ox, oy, info):
-        oy = self.height - oy + info.offset
-        postscript_name = info.postscript_name
-        fontsize        = info.fontsize
-        symbol_name     = info.symbol_name
-
-        if (postscript_name, fontsize) != self.lastfont:
-            ps = """/%(postscript_name)s findfont
-%(fontsize)s scalefont
-setfont
-""" % locals()
-            self.lastfont = postscript_name, fontsize
-            self.pswriter.write(ps)
-
-        ps = """%(ox)f %(oy)f moveto
-/%(symbol_name)s glyphshow\n
-""" % locals()
-        self.pswriter.write(ps)
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        ps = "%f %f %f %f rectfill\n" % (x1, self.height - y2, x2 - x1, y2 - y1)
-        self.pswriter.write(ps)
-
-    def get_results(self, box, used_characters):
-        ship(0, 0, box)
-        return (self.width,
-                self.height + self.depth,
-                self.depth,
-                self.pswriter,
-                used_characters)
-
-class MathtextBackendPdf(MathtextBackend):
-    """
-    Store information to write a mathtext rendering to the PDF
-    backend.
-    """
-    def __init__(self):
-        self.glyphs = []
-        self.rects = []
-
-    def render_glyph(self, ox, oy, info):
-        filename = info.font.fname
-        oy = self.height - oy + info.offset
-        self.glyphs.append(
-            (ox, oy, filename, info.fontsize,
-             info.num, info.symbol_name))
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        self.rects.append((x1, self.height - y2, x2 - x1, y2 - y1))
-
-    def get_results(self, box, used_characters):
-        ship(0, 0, box)
-        return (self.width,
-                self.height + self.depth,
-                self.depth,
-                self.glyphs,
-                self.rects,
-                used_characters)
-
-class MathtextBackendSvg(MathtextBackend):
-    """
-    Store information to write a mathtext rendering to the SVG
-    backend.
-    """
-    def __init__(self):
-        self.svg_glyphs = []
-        self.svg_rects = []
-
-    def render_glyph(self, ox, oy, info):
-        oy = self.height - oy + info.offset
-
-        self.svg_glyphs.append(
-            (info.font, info.fontsize, info.num, ox, oy, info.metrics))
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        self.svg_rects.append(
-            (x1, self.height - y1 + 1, x2 - x1, y2 - y1))
-
-    def get_results(self, box, used_characters):
-        ship(0, 0, box)
-        svg_elements = Bunch(svg_glyphs = self.svg_glyphs,
-                             svg_rects = self.svg_rects)
-        return (self.width,
-                self.height + self.depth,
-                self.depth,
-                svg_elements,
-                used_characters)
-
-class MathtextBackendPath(MathtextBackend):
-    """
-    Store information to write a mathtext rendering to the text path
-    machinery.
-    """
-
-    def __init__(self):
-        self.glyphs = []
-        self.rects = []
-
-    def render_glyph(self, ox, oy, info):
-        oy = self.height - oy + info.offset
-        thetext = info.num
-        self.glyphs.append(
-            (info.font, info.fontsize, thetext, ox, oy))
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        self.rects.append(
-            (x1, self.height-y2 , x2 - x1, y2 - y1))
-
-    def get_results(self, box, used_characters):
-        ship(0, 0, box)
-        return (self.width,
-                self.height + self.depth,
-                self.depth,
-                self.glyphs,
-                self.rects)
-
-class MathtextBackendCairo(MathtextBackend):
-    """
-    Store information to write a mathtext rendering to the Cairo
-    backend.
-    """
-
-    def __init__(self):
-        self.glyphs = []
-        self.rects = []
-
-    def render_glyph(self, ox, oy, info):
-        oy = oy - info.offset - self.height
-        thetext = unichr_safe(info.num)
-        self.glyphs.append(
-            (info.font, info.fontsize, thetext, ox, oy))
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        self.rects.append(
-            (x1, y1 - self.height, x2 - x1, y2 - y1))
-
-    def get_results(self, box, used_characters):
-        ship(0, 0, box)
-        return (self.width,
-                self.height + self.depth,
-                self.depth,
-                self.glyphs,
-                self.rects)
-
-class Fonts(object):
-    """
-    An abstract base class for a system of fonts to use for mathtext.
-
-    The class must be able to take symbol keys and font file names and
-    return the character metrics.  It also delegates to a backend class
-    to do the actual drawing.
-    """
-
-    def __init__(self, default_font_prop, mathtext_backend):
-        """
-        *default_font_prop*: A
-        :class:`~matplotlib.font_manager.FontProperties` object to use
-        for the default non-math font, or the base font for Unicode
-        (generic) font rendering.
-
-        *mathtext_backend*: A subclass of :class:`MathTextBackend`
-        used to delegate the actual rendering.
-        """
-        self.default_font_prop = default_font_prop
-        self.mathtext_backend = mathtext_backend
-        self.used_characters = {}
-
-    def destroy(self):
-        """
-        Fix any cyclical references before the object is about
-        to be destroyed.
-        """
-        self.used_characters = None
-
-    def get_kern(self, font1, fontclass1, sym1, fontsize1,
-                 font2, fontclass2, sym2, fontsize2, dpi):
-        """
-        Get the kerning distance for font between *sym1* and *sym2*.
-
-        *fontX*: one of the TeX font names::
-
-          tt, it, rm, cal, sf, bf or default/regular (non-math)
-
-        *fontclassX*: TODO
-
-        *symX*: a symbol in raw TeX form. e.g., '1', 'x' or '\sigma'
-
-        *fontsizeX*: the fontsize in points
-
-        *dpi*: the current dots-per-inch
-        """
-        return 0.
-
-    def get_metrics(self, font, font_class, sym, fontsize, dpi):
-        """
-        *font*: one of the TeX font names::
-
-          tt, it, rm, cal, sf, bf or default/regular (non-math)
-
-        *font_class*: TODO
-
-        *sym*:  a symbol in raw TeX form. e.g., '1', 'x' or '\sigma'
-
-        *fontsize*: font size in points
-
-        *dpi*: current dots-per-inch
-
-        Returns an object with the following attributes:
-
-          - *advance*: The advance distance (in points) of the glyph.
-
-          - *height*: The height of the glyph in points.
-
-          - *width*: The width of the glyph in points.
-
-          - *xmin*, *xmax*, *ymin*, *ymax* - the ink rectangle of the glyph
-
-          - *iceberg* - the distance from the baseline to the top of
-            the glyph.  This corresponds to TeX's definition of
-            "height".
-        """
-        info = self._get_info(font, font_class, sym, fontsize, dpi)
-        return info.metrics
-
-    def set_canvas_size(self, w, h, d):
-        """
-        Set the size of the buffer used to render the math expression.
-        Only really necessary for the bitmap backends.
-        """
-        self.width, self.height, self.depth = ceil(w), ceil(h), ceil(d)
-        self.mathtext_backend.set_canvas_size(self.width, self.height, self.depth)
-
-    def render_glyph(self, ox, oy, facename, font_class, sym, fontsize, dpi):
-        """
-        Draw a glyph at
-
-          - *ox*, *oy*: position
-
-          - *facename*: One of the TeX face names
-
-          - *font_class*:
-
-          - *sym*: TeX symbol name or single character
-
-          - *fontsize*: fontsize in points
-
-          - *dpi*: The dpi to draw at.
-        """
-        info = self._get_info(facename, font_class, sym, fontsize, dpi)
-        realpath, stat_key = get_realpath_and_stat(info.font.fname)
-        used_characters = self.used_characters.setdefault(
-            stat_key, (realpath, set()))
-        used_characters[1].add(info.num)
-        self.mathtext_backend.render_glyph(ox, oy, info)
-
-    def render_rect_filled(self, x1, y1, x2, y2):
-        """
-        Draw a filled rectangle from (*x1*, *y1*) to (*x2*, *y2*).
-        """
-        self.mathtext_backend.render_rect_filled(x1, y1, x2, y2)
-
-    def get_xheight(self, font, fontsize, dpi):
-        """
-        Get the xheight for the given *font* and *fontsize*.
-        """
-        raise NotImplementedError()
-
-    def get_underline_thickness(self, font, fontsize, dpi):
-        """
-        Get the line thickness that matches the given font.  Used as a
-        base unit for drawing lines such as in a fraction or radical.
-        """
-        raise NotImplementedError()
-
-    def get_used_characters(self):
-        """
-        Get the set of characters that were used in the math
-        expression.  Used by backends that need to subset fonts so
-        they know which glyphs to include.
-        """
-        return self.used_characters
-
-    def get_results(self, box):
-        """
-        Get the data needed by the backend to render the math
-        expression.  The return value is backend-specific.
-        """
-        result = self.mathtext_backend.get_results(box, self.get_used_characters())
-        self.destroy()
-        return result
-
-    def get_sized_alternatives_for_symbol(self, fontname, sym):
-        """
-        Override if your font provides multiple sizes of the same
-        symbol.  Should return a list of symbols matching *sym* in
-        various sizes.  The expression renderer will select the most
-        appropriate size for a given situation from this list.
-        """
-        return [(fontname, sym)]
-
-class TruetypeFonts(Fonts):
-    """
-    A generic base class for all font setups that use Truetype fonts
-    (through FT2Font).
-    """
-    class CachedFont:
-        def __init__(self, font):
-            self.font     = font
-            self.charmap  = font.get_charmap()
-            self.glyphmap = dict(
-                [(glyphind, ccode) for ccode, glyphind in six.iteritems(self.charmap)])
-
-        def __repr__(self):
-            return repr(self.font)
-
-    def __init__(self, default_font_prop, mathtext_backend):
-        Fonts.__init__(self, default_font_prop, mathtext_backend)
-        self.glyphd = {}
-        self._fonts = {}
-
-        filename = findfont(default_font_prop)
-        default_font = self.CachedFont(FT2Font(filename))
-        self._fonts['default'] = default_font
-        self._fonts['regular'] = default_font
-
-    def destroy(self):
-        self.glyphd = None
-        Fonts.destroy(self)
-
-    def _get_font(self, font):
-        if font in self.fontmap:
-            basename = self.fontmap[font]
-        else:
-            basename = font
-
-        cached_font = self._fonts.get(basename)
-        if cached_font is None and os.path.exists(basename):
-            font = FT2Font(basename)
-            cached_font = self.CachedFont(font)
-            self._fonts[basename] = cached_font
-            self._fonts[font.postscript_name] = cached_font
-            self._fonts[font.postscript_name.lower()] = cached_font
-        return cached_font
-
-    def _get_offset(self, cached_font, glyph, fontsize, dpi):
-        if cached_font.font.postscript_name == 'Cmex10':
-            return ((glyph.height/64.0/2.0) + (fontsize/3.0 * dpi/72.0))
-        return 0.
-
-    def _get_info(self, fontname, font_class, sym, fontsize, dpi):
-        key = fontname, font_class, sym, fontsize, dpi
-        bunch = self.glyphd.get(key)
-        if bunch is not None:
-            return bunch
-
-        cached_font, num, symbol_name, fontsize, slanted = \
-            self._get_glyph(fontname, font_class, sym, fontsize)
-
-        font = cached_font.font
-        font.set_size(fontsize, dpi)
-        glyph = font.load_char(
-            num,
-            flags=self.mathtext_backend.get_hinting_type())
-
-        xmin, ymin, xmax, ymax = [val/64.0 for val in glyph.bbox]
-        offset = self._get_offset(cached_font, glyph, fontsize, dpi)
-        metrics = Bunch(
-            advance = glyph.linearHoriAdvance/65536.0,
-            height  = glyph.height/64.0,
-            width   = glyph.width/64.0,
-            xmin    = xmin,
-            xmax    = xmax,
-            ymin    = ymin+offset,
-            ymax    = ymax+offset,
-            # iceberg is the equivalent of TeX's "height"
-            iceberg = glyph.horiBearingY/64.0 + offset,
-            slanted = slanted
-            )
-
-        result = self.glyphd[key] = Bunch(
-            font            = font,
-            fontsize        = fontsize,
-            postscript_name = font.postscript_name,
-            metrics         = metrics,
-            symbol_name     = symbol_name,
-            num             = num,
-            glyph           = glyph,
-            offset          = offset
-            )
-        return result
-
-    def get_xheight(self, font, fontsize, dpi):
-        cached_font = self._get_font(font)
-        cached_font.font.set_size(fontsize, dpi)
-        pclt = cached_font.font.get_sfnt_table('pclt')
-        if pclt is None:
-            # Some fonts don't store the xHeight, so we do a poor man's xHeight
-            metrics = self.get_metrics(font, rcParams['mathtext.default'], 'x', fontsize, dpi)
-            return metrics.iceberg
-        xHeight = (pclt['xHeight'] / 64.0) * (fontsize / 12.0) * (dpi / 100.0)
-        return xHeight
-
-    def get_underline_thickness(self, font, fontsize, dpi):
-        # This function used to grab underline thickness from the font
-        # metrics, but that information is just too un-reliable, so it
-        # is now hardcoded.
-        return ((0.75 / 12.0) * fontsize * dpi) / 72.0
-
-    def get_kern(self, font1, fontclass1, sym1, fontsize1,
-                 font2, fontclass2, sym2, fontsize2, dpi):
-        if font1 == font2 and fontsize1 == fontsize2:
-            info1 = self._get_info(font1, fontclass1, sym1, fontsize1, dpi)
-            info2 = self._get_info(font2, fontclass2, sym2, fontsize2, dpi)
-            font = info1.font
-            return font.get_kerning(info1.num, info2.num, KERNING_DEFAULT) / 64.0
-        return Fonts.get_kern(self, font1, fontclass1, sym1, fontsize1,
-                              font2, fontclass2, sym2, fontsize2, dpi)
-
-class BakomaFonts(TruetypeFonts):
-    """
-    Use the Bakoma TrueType fonts for rendering.
-
-    Symbols are strewn about a number of font files, each of which has
-    its own proprietary 8-bit encoding.
-    """
-    _fontmap = { 'cal' : 'cmsy10',
-                 'rm'  : 'cmr10',
-                 'tt'  : 'cmtt10',
-                 'it'  : 'cmmi10',
-                 'bf'  : 'cmb10',
-                 'sf'  : 'cmss10',
-                 'ex'  : 'cmex10'
-                 }
-
-    def __init__(self, *args, **kwargs):
-        self._stix_fallback = StixFonts(*args, **kwargs)
-
-        TruetypeFonts.__init__(self, *args, **kwargs)
-        self.fontmap = {}
-        for key, val in six.iteritems(self._fontmap):
-            fullpath = findfont(val)
-            self.fontmap[key] = fullpath
-            self.fontmap[val] = fullpath
-
-
-    _slanted_symbols = set(r"\int \oint".split())
-
-    def _get_glyph(self, fontname, font_class, sym, fontsize):
-        symbol_name = None
-        if fontname in self.fontmap and sym in latex_to_bakoma:
-            basename, num = latex_to_bakoma[sym]
-            slanted = (basename == "cmmi10") or sym in self._slanted_symbols
-            cached_font = self._get_font(basename)
-            if cached_font is not None:
-                symbol_name = cached_font.font.get_glyph_name(num)
-                num = cached_font.glyphmap[num]
-        elif len(sym) == 1:
-            slanted = (fontname == "it")
-            cached_font = self._get_font(fontname)
-            if cached_font is not None:
-                num = ord(sym)
-                gid = cached_font.charmap.get(num)
-                if gid is not None:
-                    symbol_name = cached_font.font.get_glyph_name(
-                        cached_font.charmap[num])
-
-        if symbol_name is None:
-            return self._stix_fallback._get_glyph(
-                fontname, font_class, sym, fontsize)
-
-        return cached_font, num, symbol_name, fontsize, slanted
-
-    # The Bakoma fonts contain many pre-sized alternatives for the
-    # delimiters.  The AutoSizedChar class will use these alternatives
-    # and select the best (closest sized) glyph.
-    _size_alternatives = {
-        '('          : [('rm', '('), ('ex', '\xa1'), ('ex', '\xb3'),
-                        ('ex', '\xb5'), ('ex', '\xc3')],
-        ')'          : [('rm', ')'), ('ex', '\xa2'), ('ex', '\xb4'),
-                        ('ex', '\xb6'), ('ex', '\x21')],
-        '{'          : [('cal', '{'), ('ex', '\xa9'), ('ex', '\x6e'),
-                        ('ex', '\xbd'), ('ex', '\x28')],
-        '}'          : [('cal', '}'), ('ex', '\xaa'), ('ex', '\x6f'),
-                        ('ex', '\xbe'), ('ex', '\x29')],
-        # The fourth size of '[' is mysteriously missing from the BaKoMa
-        # font, so I've ommitted it for both '[' and ']'
-        '['          : [('rm', '['), ('ex', '\xa3'), ('ex', '\x68'),
-                        ('ex', '\x22')],
-        ']'          : [('rm', ']'), ('ex', '\xa4'), ('ex', '\x69'),
-                        ('ex', '\x23')],
-        r'\lfloor'   : [('ex', '\xa5'), ('ex', '\x6a'),
-                        ('ex', '\xb9'), ('ex', '\x24')],
-        r'\rfloor'   : [('ex', '\xa6'), ('ex', '\x6b'),
-                        ('ex', '\xba'), ('ex', '\x25')],
-        r'\lceil'    : [('ex', '\xa7'), ('ex', '\x6c'),
-                        ('ex', '\xbb'), ('ex', '\x26')],
-        r'\rceil'    : [('ex', '\xa8'), ('ex', '\x6d'),
-                        ('ex', '\xbc'), ('ex', '\x27')],
-        r'\langle'   : [('ex', '\xad'), ('ex', '\x44'),
-                        ('ex', '\xbf'), ('ex', '\x2a')],
-        r'\rangle'   : [('ex', '\xae'), ('ex', '\x45'),
-                        ('ex', '\xc0'), ('ex', '\x2b')],
-        r'\__sqrt__' : [('ex', '\x70'), ('ex', '\x71'),
-                        ('ex', '\x72'), ('ex', '\x73')],
-        r'\backslash': [('ex', '\xb2'), ('ex', '\x2f'),
-                        ('ex', '\xc2'), ('ex', '\x2d')],
-        r'/'         : [('rm', '/'), ('ex', '\xb1'), ('ex', '\x2e'),
-                        ('ex', '\xcb'), ('ex', '\x2c')],
-        r'\widehat'  : [('rm', '\x5e'), ('ex', '\x62'), ('ex', '\x63'),
-                        ('ex', '\x64')],
-        r'\widetilde': [('rm', '\x7e'), ('ex', '\x65'), ('ex', '\x66'),
-                        ('ex', '\x67')],
-        r'<'         : [('cal', 'h'), ('ex', 'D')],
-        r'>'         : [('cal', 'i'), ('ex', 'E')]
-        }
-
-    for alias, target in [('\leftparen', '('),
-                          ('\rightparent', ')'),
-                          ('\leftbrace', '{'),
-                          ('\rightbrace', '}'),
-                          ('\leftbracket', '['),
-                          ('\rightbracket', ']'),
-                          (r'\{', '{'),
-                          (r'\}', '}'),
-                          (r'\[', '['),
-                          (r'\]', ']')]:
-        _size_alternatives[alias] = _size_alternatives[target]
-
-    def get_sized_alternatives_for_symbol(self, fontname, sym):
-        return self._size_alternatives.get(sym, [(fontname, sym)])
-
-class UnicodeFonts(TruetypeFonts):
-    """
-    An abstract base class for handling Unicode fonts.
-
-    While some reasonably complete Unicode fonts (such as DejaVu) may
-    work in some situations, the only Unicode font I'm aware of with a
-    complete set of math symbols is STIX.
-
-    This class will "fallback" on the Bakoma fonts when a required
-    symbol can not be found in the font.
-    """
-    use_cmex = True
-
-    def __init__(self, *args, **kwargs):
-        # This must come first so the backend's owner is set correctly
-        if rcParams['mathtext.fallback_to_cm']:
-            self.cm_fallback = BakomaFonts(*args, **kwargs)
-        else:
-            self.cm_fallback = None
-        TruetypeFonts.__init__(self, *args, **kwargs)
-        self.fontmap = {}
-        for texfont in "cal rm tt it bf sf".split():
-            prop = rcParams['mathtext.' + texfont]
-            font = findfont(prop)
-            self.fontmap[texfont] = font
-        prop = FontProperties('cmex10')
-        font = findfont(prop)
-        self.fontmap['ex'] = font
-
-    _slanted_symbols = set(r"\int \oint".split())
-
-    def _map_virtual_font(self, fontname, font_class, uniindex):
-        return fontname, uniindex
-
-    def _get_glyph(self, fontname, font_class, sym, fontsize):
-        found_symbol = False
-
-        if self.use_cmex:
-            uniindex = latex_to_cmex.get(sym)
-            if uniindex is not None:
-                fontname = 'ex'
-                found_symbol = True
-
-        if not found_symbol:
-            try:
-                uniindex = get_unicode_index(sym)
-                found_symbol = True
-            except ValueError:
-                uniindex = ord('?')
-                warn("No TeX to unicode mapping for '%s'" %
-                     sym.encode('ascii', 'backslashreplace'),
-                     MathTextWarning)
-
-        fontname, uniindex = self._map_virtual_font(
-            fontname, font_class, uniindex)
-
-        new_fontname = fontname
-
-        # Only characters in the "Letter" class should be italicized in 'it'
-        # mode.  Greek capital letters should be Roman.
-        if found_symbol:
-            if fontname == 'it':
-                if uniindex < 0x10000:
-                    unistring = unichr(uniindex)
-                    if (not unicodedata.category(unistring)[0] == "L"
-                        or unicodedata.name(unistring).startswith("GREEK CAPITAL")):
-                        new_fontname = 'rm'
-
-            slanted = (new_fontname == 'it') or sym in self._slanted_symbols
-            found_symbol = False
-            cached_font = self._get_font(new_fontname)
-            if cached_font is not None:
-                try:
-                    glyphindex = cached_font.charmap[uniindex]
-                    found_symbol = True
-                except KeyError:
-                    pass
-
-        if not found_symbol:
-            if self.cm_fallback:
-                warn("Substituting with a symbol from Computer Modern.",
-                     MathTextWarning)
-                return self.cm_fallback._get_glyph(
-                    fontname, 'it', sym, fontsize)
-            else:
-                if fontname in ('it', 'regular') and isinstance(self, StixFonts):
-                    return self._get_glyph('rm', font_class, sym, fontsize)
-                warn("Font '%s' does not have a glyph for '%s' [U%x]" %
-                     (new_fontname, sym.encode('ascii', 'backslashreplace'), uniindex),
-                     MathTextWarning)
-                warn("Substituting with a dummy symbol.", MathTextWarning)
-                fontname = 'rm'
-                new_fontname = fontname
-                cached_font = self._get_font(fontname)
-                uniindex = 0xA4 # currency character, for lack of anything better
-                glyphindex = cached_font.charmap[uniindex]
-                slanted = False
-
-        symbol_name = cached_font.font.get_glyph_name(glyphindex)
-        return cached_font, uniindex, symbol_name, fontsize, slanted
-
-    def get_sized_alternatives_for_symbol(self, fontname, sym):
-        if self.cm_fallback:
-            return self.cm_fallback.get_sized_alternatives_for_symbol(
-                fontname, sym)
-        return [(fontname, sym)]
-
-class StixFonts(UnicodeFonts):
-    """
-    A font handling class for the STIX fonts.
-
-    In addition to what UnicodeFonts provides, this class:
-
-    - supports "virtual fonts" which are complete alpha numeric
-      character sets with different font styles at special Unicode
-      code points, such as "Blackboard".
-
-    - handles sized alternative characters for the STIXSizeX fonts.
-    """
-    _fontmap = { 'rm'  : 'STIXGeneral',
-                 'it'  : 'STIXGeneral:italic',
-                 'bf'  : 'STIXGeneral:weight=bold',
-                 'nonunirm' : 'STIXNonUnicode',
-                 'nonuniit' : 'STIXNonUnicode:italic',
-                 'nonunibf' : 'STIXNonUnicode:weight=bold',
-
-                 0 : 'STIXGeneral',
-                 1 : 'STIXSizeOneSym',
-                 2 : 'STIXSizeTwoSym',
-                 3 : 'STIXSizeThreeSym',
-                 4 : 'STIXSizeFourSym',
-                 5 : 'STIXSizeFiveSym'
-                 }
-    use_cmex = False
-    cm_fallback = False
-    _sans = False
-
-    def __init__(self, *args, **kwargs):
-        TruetypeFonts.__init__(self, *args, **kwargs)
-        self.fontmap = {}
-        for key, name in six.iteritems(self._fontmap):
-            fullpath = findfont(name)
-            self.fontmap[key] = fullpath
-            self.fontmap[name] = fullpath
-
-    def _map_virtual_font(self, fontname, font_class, uniindex):
-        # Handle these "fonts" that are actually embedded in
-        # other fonts.
-        mapping = stix_virtual_fonts.get(fontname)
-        if (self._sans and mapping is None and
-            fontname not in ('regular', 'default')):
-            mapping = stix_virtual_fonts['sf']
-            doing_sans_conversion = True
-        else:
-            doing_sans_conversion = False
-
-        if mapping is not None:
-            if isinstance(mapping, dict):
-                mapping = mapping.get(font_class, 'rm')
-
-            # Binary search for the source glyph
-            lo = 0
-            hi = len(mapping)
-            while lo < hi:
-                mid = (lo+hi)//2
-                range = mapping[mid]
-                if uniindex < range[0]:
-                    hi = mid
-                elif uniindex <= range[1]:
-                    break
-                else:
-                    lo = mid + 1
-
-            if uniindex >= range[0] and uniindex <= range[1]:
-                uniindex = uniindex - range[0] + range[3]
-                fontname = range[2]
-            elif not doing_sans_conversion:
-                # This will generate a dummy character
-                uniindex = 0x1
-                fontname = rcParams['mathtext.default']
-
-        # Handle private use area glyphs
-        if (fontname in ('it', 'rm', 'bf') and
-            uniindex >= 0xe000 and uniindex <= 0xf8ff):
-            fontname = 'nonuni' + fontname
-
-        return fontname, uniindex
-
-    _size_alternatives = {}
-    def get_sized_alternatives_for_symbol(self, fontname, sym):
-        fixes = {'\{': '{', '\}': '}', '\[': '[', '\]': ']'}
-        sym = fixes.get(sym, sym)
-
-        alternatives = self._size_alternatives.get(sym)
-        if alternatives:
-            return alternatives
-
-        alternatives = []
-        try:
-            uniindex = get_unicode_index(sym)
-        except ValueError:
-            return [(fontname, sym)]
-
-        fix_ups = {
-            ord('<'): 0x27e8,
-            ord('>'): 0x27e9 }
-
-        uniindex = fix_ups.get(uniindex, uniindex)
-
-        for i in range(6):
-            cached_font = self._get_font(i)
-            glyphindex = cached_font.charmap.get(uniindex)
-            if glyphindex is not None:
-                alternatives.append((i, unichr_safe(uniindex)))
-
-        # The largest size of the radical symbol in STIX has incorrect
-        # metrics that cause it to be disconnected from the stem.
-        if sym == r'\__sqrt__':
-            alternatives = alternatives[:-1]
-
-        self._size_alternatives[sym] = alternatives
-        return alternatives
-
-class StixSansFonts(StixFonts):
-    """
-    A font handling class for the STIX fonts (that uses sans-serif
-    characters by default).
-    """
-    _sans = True
-
-class StandardPsFonts(Fonts):
-    """
-    Use the standard postscript fonts for rendering to backend_ps
-
-    Unlike the other font classes, BakomaFont and UnicodeFont, this
-    one requires the Ps backend.
-    """
-    basepath = os.path.join( get_data_path(), 'fonts', 'afm' )
-
-    fontmap = { 'cal' : 'pzcmi8a',  # Zapf Chancery
-                'rm'  : 'pncr8a',   # New Century Schoolbook
-                'tt'  : 'pcrr8a',   # Courier
-                'it'  : 'pncri8a',  # New Century Schoolbook Italic
-                'sf'  : 'phvr8a',   # Helvetica
-                'bf'  : 'pncb8a',   # New Century Schoolbook Bold
-                None  : 'psyr'      # Symbol
-                }
-
-    def __init__(self, default_font_prop):
-        Fonts.__init__(self, default_font_prop, MathtextBackendPs())
-        self.glyphd = {}
-        self.fonts = {}
-
-        filename = findfont(default_font_prop, fontext='afm',
-                            directory=self.basepath)
-        if filename is None:
-            filename = findfont('Helvetica', fontext='afm',
-                                directory=self.basepath)
-        with open(filename, 'r') as fd:
-            default_font = AFM(fd)
-        default_font.fname = filename
-
-        self.fonts['default'] = default_font
-        self.fonts['regular'] = default_font
-        self.pswriter = six.moves.cStringIO()
-
-    def _get_font(self, font):
-        if font in self.fontmap:
-            basename = self.fontmap[font]
-        else:
-            basename = font
-
-        cached_font = self.fonts.get(basename)
-        if cached_font is None:
-            fname = os.path.join(self.basepath, basename + ".afm")
-            with open(fname, 'r') as fd:
-                cached_font = AFM(fd)
-            cached_font.fname = fname
-            self.fonts[basename] = cached_font
-            self.fonts[cached_font.get_fontname()] = cached_font
-        return cached_font
-
-    def _get_info (self, fontname, font_class, sym, fontsize, dpi):
-        'load the cmfont, metrics and glyph with caching'
-        key = fontname, sym, fontsize, dpi
-        tup = self.glyphd.get(key)
-
-        if tup is not None:
-            return tup
-
-        # Only characters in the "Letter" class should really be italicized.
-        # This class includes greek letters, so we're ok
-        if (fontname == 'it' and
-            (len(sym) > 1 or
-             not unicodedata.category(six.text_type(sym)).startswith("L"))):
-            fontname = 'rm'
-
-        found_symbol = False
-
-        if sym in latex_to_standard:
-            fontname, num = latex_to_standard[sym]
-            glyph = chr(num)
-            found_symbol = True
-        elif len(sym) == 1:
-            glyph = sym
-            num = ord(glyph)
-            found_symbol = True
-        else:
-            warn("No TeX to built-in Postscript mapping for '%s'" % sym,
-                 MathTextWarning)
-
-        slanted = (fontname == 'it')
-        font = self._get_font(fontname)
-
-        if found_symbol:
-            try:
-                symbol_name = font.get_name_char(glyph)
-            except KeyError:
-                warn("No glyph in standard Postscript font '%s' for '%s'" %
-                     (font.postscript_name, sym),
-                     MathTextWarning)
-                found_symbol = False
-
-        if not found_symbol:
-            glyph = sym = '?'
-            num = ord(glyph)
-            symbol_name = font.get_name_char(glyph)
-
-        offset = 0
-
-        scale = 0.001 * fontsize
-
-        xmin, ymin, xmax, ymax = [val * scale
-                                  for val in font.get_bbox_char(glyph)]
-        metrics = Bunch(
-            advance  = font.get_width_char(glyph) * scale,
-            width    = font.get_width_char(glyph) * scale,
-            height   = font.get_height_char(glyph) * scale,
-            xmin = xmin,
-            xmax = xmax,
-            ymin = ymin+offset,
-            ymax = ymax+offset,
-            # iceberg is the equivalent of TeX's "height"
-            iceberg = ymax + offset,
-            slanted = slanted
-            )
-
-        self.glyphd[key] = Bunch(
-            font            = font,
-            fontsize        = fontsize,
-            postscript_name = font.get_fontname(),
-            metrics         = metrics,
-            symbol_name     = symbol_name,
-            num             = num,
-            glyph           = glyph,
-            offset          = offset
-            )
-
-        return self.glyphd[key]
-
-    def get_kern(self, font1, fontclass1, sym1, fontsize1,
-                 font2, fontclass2, sym2, fontsize2, dpi):
-        if font1 == font2 and fontsize1 == fontsize2:
-            info1 = self._get_info(font1, fontclass1, sym1, fontsize1, dpi)
-            info2 = self._get_info(font2, fontclass2, sym2, fontsize2, dpi)
-            font = info1.font
-            return (font.get_kern_dist(info1.glyph, info2.glyph)
-                    * 0.001 * fontsize1)
-        return Fonts.get_kern(self, font1, fontclass1, sym1, fontsize1,
-                              font2, fontclass2, sym2, fontsize2, dpi)
-
-    def get_xheight(self, font, fontsize, dpi):
-        cached_font = self._get_font(font)
-        return cached_font.get_xheight() * 0.001 * fontsize
-
-    def get_underline_thickness(self, font, fontsize, dpi):
-        cached_font = self._get_font(font)
-        return cached_font.get_underline_thickness() * 0.001 * fontsize
-
-##############################################################################
-# TeX-LIKE BOX MODEL
-
-# The following is based directly on the document 'woven' from the
-# TeX82 source code.  This information is also available in printed
-# form:
-#
-#    Knuth, Donald E.. 1986.  Computers and Typesetting, Volume B:
-#    TeX: The Program.  Addison-Wesley Professional.
-#
-# The most relevant "chapters" are:
-#    Data structures for boxes and their friends
-#    Shipping pages out (Ship class)
-#    Packaging (hpack and vpack)
-#    Data structures for math mode
-#    Subroutines for math mode
-#    Typesetting math formulas
-#
-# Many of the docstrings below refer to a numbered "node" in that
-# book, e.g., node123
-#
-# Note that (as TeX) y increases downward, unlike many other parts of
-# matplotlib.
-
-# How much text shrinks when going to the next-smallest level.  GROW_FACTOR
-# must be the inverse of SHRINK_FACTOR.
-SHRINK_FACTOR   = 0.7
-GROW_FACTOR     = 1.0 / SHRINK_FACTOR
-# The number of different sizes of chars to use, beyond which they will not
-# get any smaller
-NUM_SIZE_LEVELS = 6
-# Percentage of x-height of additional horiz. space after sub/superscripts
-SCRIPT_SPACE    = 0.2
-# Percentage of x-height that sub/superscripts drop below the baseline
-SUBDROP         = 0.3
-# Percentage of x-height that superscripts drop below the baseline
-SUP1            = 0.5
-# Percentage of x-height that subscripts drop below the baseline
-SUB1            = 0.0
-# Percentage of x-height that superscripts are offset relative to the subscript
-DELTA           = 0.18
-
-class MathTextWarning(Warning):
-    pass
-
-class Node(object):
-    """
-    A node in the TeX box model
-    """
-    def __init__(self):
-        self.size = 0
-
-    def __repr__(self):
-        return self.__internal_repr__()
-
-    def __internal_repr__(self):
-        return self.__class__.__name__
-
-    def get_kerning(self, next):
-        return 0.0
-
-    def shrink(self):
-        """
-        Shrinks one level smaller.  There are only three levels of
-        sizes, after which things will no longer get smaller.
-        """
-        self.size += 1
-
-    def grow(self):
-        """
-        Grows one level larger.  There is no limit to how big
-        something can get.
-        """
-        self.size -= 1
-
-    def render(self, x, y):
-        pass
-
-class Box(Node):
-    """
-    Represents any node with a physical location.
-    """
-    def __init__(self, width, height, depth):
-        Node.__init__(self)
-        self.width  = width
-        self.height = height
-        self.depth  = depth
-
-    def shrink(self):
-        Node.shrink(self)
-        if self.size < NUM_SIZE_LEVELS:
-            self.width  *= SHRINK_FACTOR
-            self.height *= SHRINK_FACTOR
-            self.depth  *= SHRINK_FACTOR
-
-    def grow(self):
-        Node.grow(self)
-        self.width  *= GROW_FACTOR
-        self.height *= GROW_FACTOR
-        self.depth  *= GROW_FACTOR
-
-    def render(self, x1, y1, x2, y2):
-        pass
-
-class Vbox(Box):
-    """
-    A box with only height (zero width).
-    """
-    def __init__(self, height, depth):
-        Box.__init__(self, 0., height, depth)
-
-class Hbox(Box):
-    """
-    A box with only width (zero height and depth).
-    """
-    def __init__(self, width):
-        Box.__init__(self, width, 0., 0.)
-
-class Char(Node):
-    """
-    Represents a single character.  Unlike TeX, the font information
-    and metrics are stored with each :class:`Char` to make it easier
-    to lookup the font metrics when needed.  Note that TeX boxes have
-    a width, height, and depth, unlike Type1 and Truetype which use a
-    full bounding box and an advance in the x-direction.  The metrics
-    must be converted to the TeX way, and the advance (if different
-    from width) must be converted into a :class:`Kern` node when the
-    :class:`Char` is added to its parent :class:`Hlist`.
-    """
-    def __init__(self, c, state):
-        Node.__init__(self)
-        self.c = c
-        self.font_output = state.font_output
-        assert isinstance(state.font, (six.string_types, int))
-        self.font = state.font
-        self.font_class = state.font_class
-        self.fontsize = state.fontsize
-        self.dpi = state.dpi
-        # The real width, height and depth will be set during the
-        # pack phase, after we know the real fontsize
-        self._update_metrics()
-
-    def __internal_repr__(self):
-        return '`%s`' % self.c
-
-    def _update_metrics(self):
-        metrics = self._metrics = self.font_output.get_metrics(
-            self.font, self.font_class, self.c, self.fontsize, self.dpi)
-        if self.c == ' ':
-            self.width = metrics.advance
-        else:
-            self.width = metrics.width
-        self.height = metrics.iceberg
-        self.depth = -(metrics.iceberg - metrics.height)
-
-    def is_slanted(self):
-        return self._metrics.slanted
-
-    def get_kerning(self, next):
-        """
-        Return the amount of kerning between this and the given
-        character.  Called when characters are strung together into
-        :class:`Hlist` to create :class:`Kern` nodes.
-        """
-        advance = self._metrics.advance - self.width
-        kern = 0.
-        if isinstance(next, Char):
-            kern = self.font_output.get_kern(
-                self.font, self.font_class, self.c, self.fontsize,
-                next.font, next.font_class, next.c, next.fontsize,
-                self.dpi)
-        return advance + kern
-
-    def render(self, x, y):
-        """
-        Render the character to the canvas
-        """
-        self.font_output.render_glyph(
-            x, y,
-            self.font, self.font_class, self.c, self.fontsize, self.dpi)
-
-    def shrink(self):
-        Node.shrink(self)
-        if self.size < NUM_SIZE_LEVELS:
-            self.fontsize *= SHRINK_FACTOR
-            self.width    *= SHRINK_FACTOR
-            self.height   *= SHRINK_FACTOR
-            self.depth    *= SHRINK_FACTOR
-
-    def grow(self):
-        Node.grow(self)
-        self.fontsize *= GROW_FACTOR
-        self.width    *= GROW_FACTOR
-        self.height   *= GROW_FACTOR
-        self.depth    *= GROW_FACTOR
-
-class Accent(Char):
-    """
-    The font metrics need to be dealt with differently for accents,
-    since they are already offset correctly from the baseline in
-    TrueType fonts.
-    """
-    def _update_metrics(self):
-        metrics = self._metrics = self.font_output.get_metrics(
-            self.font, self.font_class, self.c, self.fontsize, self.dpi)
-        self.width = metrics.xmax - metrics.xmin
-        self.height = metrics.ymax - metrics.ymin
-        self.depth = 0
-
-    def shrink(self):
-        Char.shrink(self)
-        self._update_metrics()
-
-    def grow(self):
-        Char.grow(self)
-        self._update_metrics()
-
-    def render(self, x, y):
-        """
-        Render the character to the canvas.
-        """
-        self.font_output.render_glyph(
-            x - self._metrics.xmin, y + self._metrics.ymin,
-            self.font, self.font_class, self.c, self.fontsize, self.dpi)
-
-class List(Box):
-    """
-    A list of nodes (either horizontal or vertical).
-    """
-    def __init__(self, elements):
-        Box.__init__(self, 0., 0., 0.)
-        self.shift_amount = 0.   # An arbitrary offset
-        self.children     = elements # The child nodes of this list
-        # The following parameters are set in the vpack and hpack functions
-        self.glue_set     = 0.   # The glue setting of this list
-        self.glue_sign    = 0    # 0: normal, -1: shrinking, 1: stretching
-        self.glue_order   = 0    # The order of infinity (0 - 3) for the glue
-
-    def __repr__(self):
-        return '[%s <%.02f %.02f %.02f %.02f> %s]' % (
-            self.__internal_repr__(),
-            self.width, self.height,
-            self.depth, self.shift_amount,
-            ' '.join([repr(x) for x in self.children]))
-
-    def _determine_order(self, totals):
-        """
-        A helper function to determine the highest order of glue
-        used by the members of this list.  Used by vpack and hpack.
-        """
-        o = 0
-        for i in range(len(totals) - 1, 0, -1):
-            if totals[i] != 0.0:
-                o = i
-                break
-        return o
-
-    def _set_glue(self, x, sign, totals, error_type):
-        o = self._determine_order(totals)
-        self.glue_order = o
-        self.glue_sign = sign
-        if totals[o] != 0.:
-            self.glue_set = x / totals[o]
-        else:
-            self.glue_sign = 0
-            self.glue_ratio = 0.
-        if o == 0:
-            if len(self.children):
-                warn("%s %s: %r" % (error_type, self.__class__.__name__, self),
-                     MathTextWarning)
-
-    def shrink(self):
-        for child in self.children:
-            child.shrink()
-        Box.shrink(self)
-        if self.size < NUM_SIZE_LEVELS:
-            self.shift_amount *= SHRINK_FACTOR
-            self.glue_set     *= SHRINK_FACTOR
-
-    def grow(self):
-        for child in self.children:
-            child.grow()
-        Box.grow(self)
-        self.shift_amount *= GROW_FACTOR
-        self.glue_set     *= GROW_FACTOR
-
-class Hlist(List):
-    """
-    A horizontal list of boxes.
-    """
-    def __init__(self, elements, w=0., m='additional', do_kern=True):
-        List.__init__(self, elements)
-        if do_kern:
-            self.kern()
-        self.hpack()
-
-    def kern(self):
-        """
-        Insert :class:`Kern` nodes between :class:`Char` nodes to set
-        kerning.  The :class:`Char` nodes themselves determine the
-        amount of kerning they need (in :meth:`~Char.get_kerning`),
-        and this function just creates the linked list in the correct
-        way.
-        """
-        new_children = []
-        num_children = len(self.children)
-        if num_children:
-            for i in range(num_children):
-                elem = self.children[i]
-                if i < num_children - 1:
-                    next = self.children[i + 1]
-                else:
-                    next = None
-
-                new_children.append(elem)
-                kerning_distance = elem.get_kerning(next)
-                if kerning_distance != 0.:
-                    kern = Kern(kerning_distance)
-                    new_children.append(kern)
-            self.children = new_children
-
-    # This is a failed experiment to fake cross-font kerning.
-#     def get_kerning(self, next):
-#         if len(self.children) >= 2 and isinstance(self.children[-2], Char):
-#             if isinstance(next, Char):
-#                 print "CASE A"
-#                 return self.children[-2].get_kerning(next)
-#             elif isinstance(next, Hlist) and len(next.children) and isinstance(next.children[0], Char):
-#                 print "CASE B"
-#                 result = self.children[-2].get_kerning(next.children[0])
-#                 print result
-#                 return result
-#         return 0.0
-
-    def hpack(self, w=0., m='additional'):
-        """
-        The main duty of :meth:`hpack` is to compute the dimensions of
-        the resulting boxes, and to adjust the glue if one of those
-        dimensions is pre-specified.  The computed sizes normally
-        enclose all of the material inside the new box; but some items
-        may stick out if negative glue is used, if the box is
-        overfull, or if a ``\\vbox`` includes other boxes that have
-        been shifted left.
-
-          - *w*: specifies a width
-
-          - *m*: is either 'exactly' or 'additional'.
-
-        Thus, ``hpack(w, 'exactly')`` produces a box whose width is
-        exactly *w*, while ``hpack(w, 'additional')`` yields a box
-        whose width is the natural width plus *w*.  The default values
-        produce a box with the natural width.
-        """
-        # I don't know why these get reset in TeX.  Shift_amount is pretty
-        # much useless if we do.
-        #self.shift_amount = 0.
-        h = 0.
-        d = 0.
-        x = 0.
-        total_stretch = [0.] * 4
-        total_shrink = [0.] * 4
-        for p in self.children:
-            if isinstance(p, Char):
-                x += p.width
-                h = max(h, p.height)
-                d = max(d, p.depth)
-            elif isinstance(p, Box):
-                x += p.width
-                if not isinf(p.height) and not isinf(p.depth):
-                    s = getattr(p, 'shift_amount', 0.)
-                    h = max(h, p.height - s)
-                    d = max(d, p.depth + s)
-            elif isinstance(p, Glue):
-                glue_spec = p.glue_spec
-                x += glue_spec.width
-                total_stretch[glue_spec.stretch_order] += glue_spec.stretch
-                total_shrink[glue_spec.shrink_order] += glue_spec.shrink
-            elif isinstance(p, Kern):
-                x += p.width
-        self.height = h
-        self.depth = d
-
-        if m == 'additional':
-            w += x
-        self.width = w
-        x = w - x
-
-        if x == 0.:
-            self.glue_sign = 0
-            self.glue_order = 0
-            self.glue_ratio = 0.
-            return
-        if x > 0.:
-            self._set_glue(x, 1, total_stretch, "Overfull")
-        else:
-            self._set_glue(x, -1, total_shrink, "Underfull")
-
-class Vlist(List):
-    """
-    A vertical list of boxes.
-    """
-    def __init__(self, elements, h=0., m='additional'):
-        List.__init__(self, elements)
-        self.vpack()
-
-    def vpack(self, h=0., m='additional', l=float(inf)):
-        """
-        The main duty of :meth:`vpack` is to compute the dimensions of
-        the resulting boxes, and to adjust the glue if one of those
-        dimensions is pre-specified.
-
-          - *h*: specifies a height
-          - *m*: is either 'exactly' or 'additional'.
-          - *l*: a maximum height
-
-        Thus, ``vpack(h, 'exactly')`` produces a box whose height is
-        exactly *h*, while ``vpack(h, 'additional')`` yields a box
-        whose height is the natural height plus *h*.  The default
-        values produce a box with the natural width.
-        """
-        # I don't know why these get reset in TeX.  Shift_amount is pretty
-        # much useless if we do.
-        # self.shift_amount = 0.
-        w = 0.
-        d = 0.
-        x = 0.
-        total_stretch = [0.] * 4
-        total_shrink = [0.] * 4
-        for p in self.children:
-            if isinstance(p, Box):
-                x += d + p.height
-                d = p.depth
-                if not isinf(p.width):
-                    s = getattr(p, 'shift_amount', 0.)
-                    w = max(w, p.width + s)
-            elif isinstance(p, Glue):
-                x += d
-                d = 0.
-                glue_spec = p.glue_spec
-                x += glue_spec.width
-                total_stretch[glue_spec.stretch_order] += glue_spec.stretch
-                total_shrink[glue_spec.shrink_order] += glue_spec.shrink
-            elif isinstance(p, Kern):
-                x += d + p.width
-                d = 0.
-            elif isinstance(p, Char):
-                raise RuntimeError("Internal mathtext error: Char node found in Vlist.")
-
-        self.width = w
-        if d > l:
-            x += d - l
-            self.depth = l
-        else:
-            self.depth = d
-
-        if m == 'additional':
-            h += x
-        self.height = h
-        x = h - x
-
-        if x == 0:
-            self.glue_sign = 0
-            self.glue_order = 0
-            self.glue_ratio = 0.
-            return
-
-        if x > 0.:
-            self._set_glue(x, 1, total_stretch, "Overfull")
-        else:
-            self._set_glue(x, -1, total_shrink, "Underfull")
-
-class Rule(Box):
-    """
-    A :class:`Rule` node stands for a solid black rectangle; it has
-    *width*, *depth*, and *height* fields just as in an
-    :class:`Hlist`. However, if any of these dimensions is inf, the
-    actual value will be determined by running the rule up to the
-    boundary of the innermost enclosing box. This is called a "running
-    dimension." The width is never running in an :class:`Hlist`; the
-    height and depth are never running in a :class:`Vlist`.
-    """
-    def __init__(self, width, height, depth, state):
-        Box.__init__(self, width, height, depth)
-        self.font_output = state.font_output
-
-    def render(self, x, y, w, h):
-        self.font_output.render_rect_filled(x, y, x + w, y + h)
-
-class Hrule(Rule):
-    """
-    Convenience class to create a horizontal rule.
-    """
-    def __init__(self, state, thickness=None):
-        if thickness is None:
-            thickness = state.font_output.get_underline_thickness(
-                state.font, state.fontsize, state.dpi)
-        height = depth = thickness * 0.5
-        Rule.__init__(self, inf, height, depth, state)
-
-class Vrule(Rule):
-    """
-    Convenience class to create a vertical rule.
-    """
-    def __init__(self, state):
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-        Rule.__init__(self, thickness, inf, inf, state)
-
-class Glue(Node):
-    """
-    Most of the information in this object is stored in the underlying
-    :class:`GlueSpec` class, which is shared between multiple glue objects.  (This
-    is a memory optimization which probably doesn't matter anymore, but it's
-    easier to stick to what TeX does.)
-    """
-    def __init__(self, glue_type, copy=False):
-        Node.__init__(self)
-        self.glue_subtype   = 'normal'
-        if is_string_like(glue_type):
-            glue_spec = GlueSpec.factory(glue_type)
-        elif isinstance(glue_type, GlueSpec):
-            glue_spec = glue_type
-        else:
-            raise ArgumentError("glue_type must be a glue spec name or instance.")
-        if copy:
-            glue_spec = glue_spec.copy()
-        self.glue_spec      = glue_spec
-
-    def shrink(self):
-        Node.shrink(self)
-        if self.size < NUM_SIZE_LEVELS:
-            if self.glue_spec.width != 0.:
-                self.glue_spec = self.glue_spec.copy()
-                self.glue_spec.width *= SHRINK_FACTOR
-
-    def grow(self):
-        Node.grow(self)
-        if self.glue_spec.width != 0.:
-            self.glue_spec = self.glue_spec.copy()
-            self.glue_spec.width *= GROW_FACTOR
-
-class GlueSpec(object):
-    """
-    See :class:`Glue`.
-    """
-    def __init__(self, width=0., stretch=0., stretch_order=0, shrink=0., shrink_order=0):
-        self.width         = width
-        self.stretch       = stretch
-        self.stretch_order = stretch_order
-        self.shrink        = shrink
-        self.shrink_order  = shrink_order
-
-    def copy(self):
-        return GlueSpec(
-            self.width,
-            self.stretch,
-            self.stretch_order,
-            self.shrink,
-            self.shrink_order)
-
-    def factory(cls, glue_type):
-        return cls._types[glue_type]
-    factory = classmethod(factory)
-
-GlueSpec._types = {
-    'fil':         GlueSpec(0., 1., 1, 0., 0),
-    'fill':        GlueSpec(0., 1., 2, 0., 0),
-    'filll':       GlueSpec(0., 1., 3, 0., 0),
-    'neg_fil':     GlueSpec(0., 0., 0, 1., 1),
-    'neg_fill':    GlueSpec(0., 0., 0, 1., 2),
-    'neg_filll':   GlueSpec(0., 0., 0, 1., 3),
-    'empty':       GlueSpec(0., 0., 0, 0., 0),
-    'ss':          GlueSpec(0., 1., 1, -1., 1)
-}
-
-# Some convenient ways to get common kinds of glue
-
-class Fil(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'fil')
-
-class Fill(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'fill')
-
-class Filll(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'filll')
-
-class NegFil(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'neg_fil')
-
-class NegFill(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'neg_fill')
-
-class NegFilll(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'neg_filll')
-
-class SsGlue(Glue):
-    def __init__(self):
-        Glue.__init__(self, 'ss')
-
-class HCentered(Hlist):
-    """
-    A convenience class to create an :class:`Hlist` whose contents are
-    centered within its enclosing box.
-    """
-    def __init__(self, elements):
-        Hlist.__init__(self, [SsGlue()] + elements + [SsGlue()],
-                       do_kern=False)
-
-class VCentered(Hlist):
-    """
-    A convenience class to create a :class:`Vlist` whose contents are
-    centered within its enclosing box.
-    """
-    def __init__(self, elements):
-        Vlist.__init__(self, [SsGlue()] + elements + [SsGlue()])
-
-class Kern(Node):
-    """
-    A :class:`Kern` node has a width field to specify a (normally
-    negative) amount of spacing. This spacing correction appears in
-    horizontal lists between letters like A and V when the font
-    designer said that it looks better to move them closer together or
-    further apart. A kern node can also appear in a vertical list,
-    when its *width* denotes additional spacing in the vertical
-    direction.
-    """
-    height = 0
-    depth = 0
-
-    def __init__(self, width):
-        Node.__init__(self)
-        self.width = width
-
-    def __repr__(self):
-        return "k%.02f" % self.width
-
-    def shrink(self):
-        Node.shrink(self)
-        if self.size < NUM_SIZE_LEVELS:
-            self.width *= SHRINK_FACTOR
-
-    def grow(self):
-        Node.grow(self)
-        self.width *= GROW_FACTOR
-
-class SubSuperCluster(Hlist):
-    """
-    :class:`SubSuperCluster` is a sort of hack to get around that fact
-    that this code do a two-pass parse like TeX.  This lets us store
-    enough information in the hlist itself, namely the nucleus, sub-
-    and super-script, such that if another script follows that needs
-    to be attached, it can be reconfigured on the fly.
-    """
-    def __init__(self):
-        self.nucleus = None
-        self.sub = None
-        self.super = None
-        Hlist.__init__(self, [])
-
-class AutoHeightChar(Hlist):
-    """
-    :class:`AutoHeightChar` will create a character as close to the
-    given height and depth as possible.  When using a font with
-    multiple height versions of some characters (such as the BaKoMa
-    fonts), the correct glyph will be selected, otherwise this will
-    always just return a scaled version of the glyph.
-    """
-    def __init__(self, c, height, depth, state, always=False, factor=None):
-        alternatives = state.font_output.get_sized_alternatives_for_symbol(
-            state.font, c)
-
-        state = state.copy()
-        target_total = height + depth
-        for fontname, sym in alternatives:
-            state.font = fontname
-            char = Char(sym, state)
-            if char.height + char.depth >= target_total:
-                break
-
-        if factor is None:
-            factor = target_total / (char.height + char.depth)
-        state.fontsize *= factor
-        char = Char(sym, state)
-
-        shift = (depth - char.depth)
-        Hlist.__init__(self, [char])
-        self.shift_amount = shift
-
-class AutoWidthChar(Hlist):
-    """
-    :class:`AutoWidthChar` will create a character as close to the
-    given width as possible.  When using a font with multiple width
-    versions of some characters (such as the BaKoMa fonts), the
-    correct glyph will be selected, otherwise this will always just
-    return a scaled version of the glyph.
-    """
-    def __init__(self, c, width, state, always=False, char_class=Char):
-        alternatives = state.font_output.get_sized_alternatives_for_symbol(
-            state.font, c)
-
-        state = state.copy()
-        for fontname, sym in alternatives:
-            state.font = fontname
-            char = char_class(sym, state)
-            if char.width >= width:
-                break
-
-        factor = width / char.width
-        state.fontsize *= factor
-        char = char_class(sym, state)
-
-        Hlist.__init__(self, [char])
-        self.width = char.width
-
-class Ship(object):
-    """
-    Once the boxes have been set up, this sends them to output.  Since
-    boxes can be inside of boxes inside of boxes, the main work of
-    :class:`Ship` is done by two mutually recursive routines,
-    :meth:`hlist_out` and :meth:`vlist_out`, which traverse the
-    :class:`Hlist` nodes and :class:`Vlist` nodes inside of horizontal
-    and vertical boxes.  The global variables used in TeX to store
-    state as it processes have become member variables here.
-    """
-    def __call__(self, ox, oy, box):
-        self.max_push    = 0 # Deepest nesting of push commands so far
-        self.cur_s       = 0
-        self.cur_v       = 0.
-        self.cur_h       = 0.
-        self.off_h       = ox
-        self.off_v       = oy + box.height
-        self.hlist_out(box)
-
-    def clamp(value):
-        if value < -1000000000.:
-            return -1000000000.
-        if value > 1000000000.:
-            return 1000000000.
-        return value
-    clamp = staticmethod(clamp)
-
-    def hlist_out(self, box):
-        cur_g         = 0
-        cur_glue      = 0.
-        glue_order    = box.glue_order
-        glue_sign     = box.glue_sign
-        base_line     = self.cur_v
-        left_edge     = self.cur_h
-        self.cur_s    += 1
-        self.max_push = max(self.cur_s, self.max_push)
-        clamp         = self.clamp
-
-        for p in box.children:
-            if isinstance(p, Char):
-                p.render(self.cur_h + self.off_h, self.cur_v + self.off_v)
-                self.cur_h += p.width
-            elif isinstance(p, Kern):
-                self.cur_h += p.width
-            elif isinstance(p, List):
-                # node623
-                if len(p.children) == 0:
-                    self.cur_h += p.width
-                else:
-                    edge = self.cur_h
-                    self.cur_v = base_line + p.shift_amount
-                    if isinstance(p, Hlist):
-                        self.hlist_out(p)
-                    else:
-                        # p.vpack(box.height + box.depth, 'exactly')
-                        self.vlist_out(p)
-                    self.cur_h = edge + p.width
-                    self.cur_v = base_line
-            elif isinstance(p, Box):
-                # node624
-                rule_height = p.height
-                rule_depth  = p.depth
-                rule_width  = p.width
-                if isinf(rule_height):
-                    rule_height = box.height
-                if isinf(rule_depth):
-                    rule_depth = box.depth
-                if rule_height > 0 and rule_width > 0:
-                    self.cur_v = baseline + rule_depth
-                    p.render(self.cur_h + self.off_h,
-                             self.cur_v + self.off_v,
-                             rule_width, rule_height)
-                    self.cur_v = baseline
-                self.cur_h += rule_width
-            elif isinstance(p, Glue):
-                # node625
-                glue_spec = p.glue_spec
-                rule_width = glue_spec.width - cur_g
-                if glue_sign != 0: # normal
-                    if glue_sign == 1: # stretching
-                        if glue_spec.stretch_order == glue_order:
-                            cur_glue += glue_spec.stretch
-                            cur_g = round(clamp(float(box.glue_set) * cur_glue))
-                    elif glue_spec.shrink_order == glue_order:
-                        cur_glue += glue_spec.shrink
-                        cur_g = round(clamp(float(box.glue_set) * cur_glue))
-                rule_width += cur_g
-                self.cur_h += rule_width
-        self.cur_s -= 1
-
-    def vlist_out(self, box):
-        cur_g         = 0
-        cur_glue      = 0.
-        glue_order    = box.glue_order
-        glue_sign     = box.glue_sign
-        self.cur_s    += 1
-        self.max_push = max(self.max_push, self.cur_s)
-        left_edge     = self.cur_h
-        self.cur_v    -= box.height
-        top_edge      = self.cur_v
-        clamp         = self.clamp
-
-        for p in box.children:
-            if isinstance(p, Kern):
-                self.cur_v += p.width
-            elif isinstance(p, List):
-                if len(p.children) == 0:
-                    self.cur_v += p.height + p.depth
-                else:
-                    self.cur_v += p.height
-                    self.cur_h = left_edge + p.shift_amount
-                    save_v = self.cur_v
-                    p.width = box.width
-                    if isinstance(p, Hlist):
-                        self.hlist_out(p)
-                    else:
-                        self.vlist_out(p)
-                    self.cur_v = save_v + p.depth
-                    self.cur_h = left_edge
-            elif isinstance(p, Box):
-                rule_height = p.height
-                rule_depth = p.depth
-                rule_width = p.width
-                if isinf(rule_width):
-                    rule_width = box.width
-                rule_height += rule_depth
-                if rule_height > 0 and rule_depth > 0:
-                    self.cur_v += rule_height
-                    p.render(self.cur_h + self.off_h,
-                             self.cur_v + self.off_v,
-                             rule_width, rule_height)
-            elif isinstance(p, Glue):
-                glue_spec = p.glue_spec
-                rule_height = glue_spec.width - cur_g
-                if glue_sign != 0: # normal
-                    if glue_sign == 1: # stretching
-                        if glue_spec.stretch_order == glue_order:
-                            cur_glue += glue_spec.stretch
-                            cur_g = round(clamp(float(box.glue_set) * cur_glue))
-                    elif glue_spec.shrink_order == glue_order: # shrinking
-                        cur_glue += glue_spec.shrink
-                        cur_g = round(clamp(float(box.glue_set) * cur_glue))
-                rule_height += cur_g
-                self.cur_v += rule_height
-            elif isinstance(p, Char):
-                raise RuntimeError("Internal mathtext error: Char node found in vlist")
-        self.cur_s -= 1
-
-ship = Ship()
-
-##############################################################################
-# PARSER
-
-def Error(msg):
-    """
-    Helper class to raise parser errors.
-    """
-    def raise_error(s, loc, toks):
-        raise ParseFatalException(s, loc, msg)
-
-    empty = Empty()
-    empty.setParseAction(raise_error)
-    return empty
-
-class Parser(object):
-    """
-    This is the pyparsing-based parser for math expressions.  It
-    actually parses full strings *containing* math expressions, in
-    that raw text may also appear outside of pairs of ``$``.
-
-    The grammar is based directly on that in TeX, though it cuts a few
-    corners.
-    """
-    _binary_operators = set('''
-      + *
-      \\pm             \\sqcap                   \\rhd
-      \\mp             \\sqcup                   \\unlhd
-      \\times          \\vee                     \\unrhd
-      \\div            \\wedge                   \\oplus
-      \\ast            \\setminus                \\ominus
-      \\star           \\wr                      \\otimes
-      \\circ           \\diamond                 \\oslash
-      \\bullet         \\bigtriangleup           \\odot
-      \\cdot           \\bigtriangledown         \\bigcirc
-      \\cap            \\triangleleft            \\dagger
-      \\cup            \\triangleright           \\ddagger
-      \\uplus          \\lhd                     \\amalg'''.split())
-
-    _relation_symbols = set('''
-      = < > :
-      \\leq            \\geq             \\equiv           \\models
-      \\prec           \\succ            \\sim             \\perp
-      \\preceq         \\succeq          \\simeq           \\mid
-      \\ll             \\gg              \\asymp           \\parallel
-      \\subset         \\supset          \\approx          \\bowtie
-      \\subseteq       \\supseteq        \\cong            \\Join
-      \\sqsubset       \\sqsupset        \\neq             \\smile
-      \\sqsubseteq     \\sqsupseteq      \\doteq           \\frown
-      \\in             \\ni              \\propto
-      \\vdash          \\dashv           \\dots'''.split())
-
-    _arrow_symbols = set('''
-      \\leftarrow              \\longleftarrow           \\uparrow
-      \\Leftarrow              \\Longleftarrow           \\Uparrow
-      \\rightarrow             \\longrightarrow          \\downarrow
-      \\Rightarrow             \\Longrightarrow          \\Downarrow
-      \\leftrightarrow         \\longleftrightarrow      \\updownarrow
-      \\Leftrightarrow         \\Longleftrightarrow      \\Updownarrow
-      \\mapsto                 \\longmapsto              \\nearrow
-      \\hookleftarrow          \\hookrightarrow          \\searrow
-      \\leftharpoonup          \\rightharpoonup          \\swarrow
-      \\leftharpoondown        \\rightharpoondown        \\nwarrow
-      \\rightleftharpoons      \\leadsto'''.split())
-
-    _spaced_symbols = _binary_operators | _relation_symbols | _arrow_symbols
-
-    _punctuation_symbols = set(r', ; . ! \ldotp \cdotp'.split())
-
-    _overunder_symbols = set(r'''
-       \sum \prod \coprod \bigcap \bigcup \bigsqcup \bigvee
-       \bigwedge \bigodot \bigotimes \bigoplus \biguplus
-       '''.split())
-
-    _overunder_functions = set(
-        r"lim liminf limsup sup max min".split())
-
-    _dropsub_symbols = set(r'''\int \oint'''.split())
-
-    _fontnames = set("rm cal it tt sf bf default bb frak circled scr regular".split())
-
-    _function_names = set("""
-      arccos csc ker min arcsin deg lg Pr arctan det lim sec arg dim
-      liminf sin cos exp limsup sinh cosh gcd ln sup cot hom log tan
-      coth inf max tanh""".split())
-
-    _ambi_delim = set("""
-      | \\| / \\backslash \\uparrow \\downarrow \\updownarrow \\Uparrow
-      \\Downarrow \\Updownarrow .""".split())
-
-    _left_delim = set(r"( [ \{ < \lfloor \langle \lceil".split())
-
-    _right_delim = set(r") ] \} > \rfloor \rangle \rceil".split())
-
-    def __init__(self):
-        p = Bunch()
-        # All forward declarations are here
-        p.accent           = Forward()
-        p.ambi_delim       = Forward()
-        p.apostrophe       = Forward()
-        p.auto_delim       = Forward()
-        p.binom            = Forward()
-        p.bslash           = Forward()
-        p.c_over_c         = Forward()
-        p.customspace      = Forward()
-        p.end_group        = Forward()
-        p.float_literal    = Forward()
-        p.font             = Forward()
-        p.frac             = Forward()
-        p.function         = Forward()
-        p.genfrac          = Forward()
-        p.group            = Forward()
-        p.int_literal      = Forward()
-        p.latexfont        = Forward()
-        p.lbracket         = Forward()
-        p.left_delim       = Forward()
-        p.lbrace           = Forward()
-        p.main             = Forward()
-        p.math             = Forward()
-        p.math_string      = Forward()
-        p.non_math         = Forward()
-        p.operatorname     = Forward()
-        p.overline         = Forward()
-        p.placeable        = Forward()
-        p.rbrace           = Forward()
-        p.rbracket         = Forward()
-        p.required_group   = Forward()
-        p.right_delim      = Forward()
-        p.right_delim_safe = Forward()
-        p.simple           = Forward()
-        p.simple_group     = Forward()
-        p.single_symbol    = Forward()
-        p.space            = Forward()
-        p.sqrt             = Forward()
-        p.stackrel         = Forward()
-        p.start_group      = Forward()
-        p.subsuper         = Forward()
-        p.subsuperop       = Forward()
-        p.symbol           = Forward()
-        p.symbol_name      = Forward()
-        p.token            = Forward()
-        p.unknown_symbol   = Forward()
-
-        # Set names on everything -- very useful for debugging
-        for key, val in vars(p).items():
-            if not key.startswith('_'):
-                val.setName(key)
-
-        p.float_literal <<= Regex(r"[-+]?([0-9]+\.?[0-9]*|\.[0-9]+)")
-        p.int_literal   <<= Regex("[-+]?[0-9]+")
-
-        p.lbrace        <<= Literal('{').suppress()
-        p.rbrace        <<= Literal('}').suppress()
-        p.lbracket      <<= Literal('[').suppress()
-        p.rbracket      <<= Literal(']').suppress()
-        p.bslash        <<= Literal('\\')
-
-        p.space         <<= oneOf(list(six.iterkeys(self._space_widths)))
-        p.customspace   <<= (Suppress(Literal(r'\hspace'))
-                          - ((p.lbrace + p.float_literal + p.rbrace)
-                            | Error(r"Expected \hspace{n}")))
-
-        unicode_range =  "\U00000080-\U0001ffff"
-        p.single_symbol <<= Regex(r"([a-zA-Z0-9 +\-*/<>=:,.;!\?&'@()\[\]|%s])|(\\[%%${}\[\]_|])" %
-                               unicode_range)
-        p.symbol_name   <<= (Combine(p.bslash + oneOf(list(six.iterkeys(tex2uni)))) +
-                          FollowedBy(Regex("[^A-Za-z]").leaveWhitespace() | StringEnd()))
-        p.symbol        <<= (p.single_symbol | p.symbol_name).leaveWhitespace()
-
-        p.apostrophe    <<= Regex("'+")
-
-        p.c_over_c      <<= Suppress(p.bslash) + oneOf(list(six.iterkeys(self._char_over_chars)))
-
-        p.accent        <<= Group(
-                             Suppress(p.bslash)
-                           + oneOf(list(six.iterkeys(self._accent_map)) + list(self._wide_accents))
-                           - p.placeable
-                         )
-
-        p.function      <<= Suppress(p.bslash) + oneOf(list(self._function_names))
-
-        p.start_group   <<= Optional(p.latexfont) + p.lbrace
-        p.end_group     <<= p.rbrace.copy()
-        p.simple_group  <<= Group(p.lbrace + ZeroOrMore(p.token) + p.rbrace)
-        p.required_group<<= Group(p.lbrace + OneOrMore(p.token) + p.rbrace)
-        p.group         <<= Group(p.start_group + ZeroOrMore(p.token) + p.end_group)
-
-        p.font          <<= Suppress(p.bslash) + oneOf(list(self._fontnames))
-        p.latexfont     <<= Suppress(p.bslash) + oneOf(['math' + x for x in self._fontnames])
-
-        p.frac          <<= Group(
-                             Suppress(Literal(r"\frac"))
-                           - ((p.required_group + p.required_group) | Error(r"Expected \frac{num}{den}"))
-                         )
-
-        p.stackrel      <<= Group(
-                             Suppress(Literal(r"\stackrel"))
-                           - ((p.required_group + p.required_group) | Error(r"Expected \stackrel{num}{den}"))
-                         )
-
-        p.binom         <<= Group(
-                             Suppress(Literal(r"\binom"))
-                           - ((p.required_group + p.required_group) | Error(r"Expected \binom{num}{den}"))
-                         )
-
-        p.ambi_delim    <<= oneOf(list(self._ambi_delim))
-        p.left_delim    <<= oneOf(list(self._left_delim))
-        p.right_delim   <<= oneOf(list(self._right_delim))
-        p.right_delim_safe <<= oneOf(list(self._right_delim - set(['}'])) + [r'\}'])
-
-        p.genfrac       <<= Group(
-                             Suppress(Literal(r"\genfrac"))
-                           - (((p.lbrace + Optional(p.ambi_delim | p.left_delim, default='') + p.rbrace)
-                           +   (p.lbrace + Optional(p.ambi_delim | p.right_delim_safe, default='') + p.rbrace)
-                           +   (p.lbrace + p.float_literal + p.rbrace)
-                           +   p.simple_group + p.required_group + p.required_group)
-                           | Error(r"Expected \genfrac{ldelim}{rdelim}{rulesize}{style}{num}{den}"))
-                         )
-
-        p.sqrt          <<= Group(
-                             Suppress(Literal(r"\sqrt"))
-                           - ((Optional(p.lbracket + p.int_literal + p.rbracket, default=None)
-                              + p.required_group)
-                           | Error("Expected \sqrt{value}"))
-                         )
-
-        p.overline      <<= Group(
-                             Suppress(Literal(r"\overline"))
-                           - (p.required_group | Error("Expected \overline{value}"))
-                         )
-
-        p.unknown_symbol<<= Combine(p.bslash + Regex("[A-Za-z]*"))
-
-        p.operatorname  <<= Group(
-                             Suppress(Literal(r"\operatorname"))
-                           - ((p.lbrace + ZeroOrMore(p.simple | p.unknown_symbol) + p.rbrace)
-                              | Error("Expected \operatorname{value}"))
-                         )
-
-        p.placeable     <<= ( p.accent # Must be first
-                         | p.symbol # Must be second
-                         | p.c_over_c
-                         | p.function
-                         | p.group
-                         | p.frac
-                         | p.stackrel
-                         | p.binom
-                         | p.genfrac
-                         | p.sqrt
-                         | p.overline
-                         | p.operatorname
-                         )
-
-        p.simple        <<= ( p.space
-                         | p.customspace
-                         | p.font
-                         | p.subsuper
-                         )
-
-        p.subsuperop    <<= oneOf(["_", "^"])
-
-        p.subsuper      <<= Group(
-                             (Optional(p.placeable) + OneOrMore(p.subsuperop - p.placeable) + Optional(p.apostrophe))
-                           | (p.placeable + Optional(p.apostrophe))
-                           | p.apostrophe
-                         )
-
-        p.token         <<= ( p.simple
-                         | p.auto_delim
-                         | p.unknown_symbol # Must be last
-                         )
-
-        p.auto_delim    <<= (Suppress(Literal(r"\left"))
-                          - ((p.left_delim | p.ambi_delim) | Error("Expected a delimiter"))
-                          + Group(ZeroOrMore(p.simple | p.auto_delim))
-                          + Suppress(Literal(r"\right"))
-                          - ((p.right_delim | p.ambi_delim) | Error("Expected a delimiter"))
-                         )
-
-        p.math          <<= OneOrMore(p.token)
-
-        p.math_string   <<= QuotedString('$', '\\', unquoteResults=False)
-
-        p.non_math      <<= Regex(r"(?:(?:\\[$])|[^$])*").leaveWhitespace()
-
-        p.main          <<= (p.non_math + ZeroOrMore(p.math_string + p.non_math)) + StringEnd()
-
-        # Set actions
-        for key, val in vars(p).items():
-            if not key.startswith('_'):
-                if hasattr(self, key):
-                    val.setParseAction(getattr(self, key))
-
-        self._expression = p.main
-        self._math_expression = p.math
-
-    def parse(self, s, fonts_object, fontsize, dpi):
-        """
-        Parse expression *s* using the given *fonts_object* for
-        output, at the given *fontsize* and *dpi*.
-
-        Returns the parse tree of :class:`Node` instances.
-        """
-        self._state_stack = [self.State(fonts_object, 'default', 'rm', fontsize, dpi)]
-        self._em_width_cache = {}
-        try:
-            result = self._expression.parseString(s)
-        except ParseBaseException as err:
-            raise ValueError("\n".join([
-                        "",
-                        err.line,
-                        " " * (err.column - 1) + "^",
-                        six.text_type(err)]))
-        self._state_stack = None
-        self._em_width_cache = {}
-        self._expression.resetCache()
-        return result[0]
-
-    # The state of the parser is maintained in a stack.  Upon
-    # entering and leaving a group { } or math/non-math, the stack
-    # is pushed and popped accordingly.  The current state always
-    # exists in the top element of the stack.
-    class State(object):
-        """
-        Stores the state of the parser.
-
-        States are pushed and popped from a stack as necessary, and
-        the "current" state is always at the top of the stack.
-        """
-        def __init__(self, font_output, font, font_class, fontsize, dpi):
-            self.font_output = font_output
-            self._font = font
-            self.font_class = font_class
-            self.fontsize = fontsize
-            self.dpi = dpi
-
-        def copy(self):
-            return Parser.State(
-                self.font_output,
-                self.font,
-                self.font_class,
-                self.fontsize,
-                self.dpi)
-
-        def _get_font(self):
-            return self._font
-        def _set_font(self, name):
-            if name in ('rm', 'it', 'bf'):
-                self.font_class = name
-            self._font = name
-        font = property(_get_font, _set_font)
-
-    def get_state(self):
-        """
-        Get the current :class:`State` of the parser.
-        """
-        return self._state_stack[-1]
-
-    def pop_state(self):
-        """
-        Pop a :class:`State` off of the stack.
-        """
-        self._state_stack.pop()
-
-    def push_state(self):
-        """
-        Push a new :class:`State` onto the stack which is just a copy
-        of the current state.
-        """
-        self._state_stack.append(self.get_state().copy())
-
-    def main(self, s, loc, toks):
-        #~ print "finish", toks
-        return [Hlist(toks)]
-
-    def math_string(self, s, loc, toks):
-        # print "math_string", toks[0][1:-1]
-        return self._math_expression.parseString(toks[0][1:-1])
-
-    def math(self, s, loc, toks):
-        #~ print "math", toks
-        hlist = Hlist(toks)
-        self.pop_state()
-        return [hlist]
-
-    def non_math(self, s, loc, toks):
-        #~ print "non_math", toks
-        s = toks[0].replace(r'\$', '$')
-        symbols = [Char(c, self.get_state()) for c in s]
-        hlist = Hlist(symbols)
-        # We're going into math now, so set font to 'it'
-        self.push_state()
-        self.get_state().font = rcParams['mathtext.default']
-        return [hlist]
-
-    def _make_space(self, percentage):
-        # All spaces are relative to em width
-        state = self.get_state()
-        key = (state.font, state.fontsize, state.dpi)
-        width = self._em_width_cache.get(key)
-        if width is None:
-            metrics = state.font_output.get_metrics(
-                state.font, rcParams['mathtext.default'], 'm', state.fontsize, state.dpi)
-            width = metrics.advance
-            self._em_width_cache[key] = width
-        return Kern(width * percentage)
-
-    _space_widths = { r'\ '      : 0.3,
-                      r'\,'      : 0.4,
-                      r'\;'      : 0.8,
-                      r'\quad'   : 1.6,
-                      r'\qquad'  : 3.2,
-                      r'\!'      : -0.4,
-                      r'\/'      : 0.4 }
-    def space(self, s, loc, toks):
-        assert(len(toks)==1)
-        num = self._space_widths[toks[0]]
-        box = self._make_space(num)
-        return [box]
-
-    def customspace(self, s, loc, toks):
-        return [self._make_space(float(toks[0]))]
-
-    def symbol(self, s, loc, toks):
-        # print "symbol", toks
-        c = toks[0]
-        try:
-            char = Char(c, self.get_state())
-        except ValueError:
-            raise ParseFatalException(s, loc, "Unknown symbol: %s" % c)
-
-        if c in self._spaced_symbols:
-            return [Hlist( [self._make_space(0.2),
-                            char,
-                            self._make_space(0.2)] ,
-                           do_kern = False)]
-        elif c in self._punctuation_symbols:
-            return [Hlist( [char,
-                            self._make_space(0.2)] ,
-                           do_kern = False)]
-        return [char]
-
-    def unknown_symbol(self, s, loc, toks):
-        # print "symbol", toks
-        c = toks[0]
-        raise ParseFatalException(s, loc, "Unknown symbol: %s" % c)
-
-    _char_over_chars = {
-        # The first 2 entires in the tuple are (font, char, sizescale) for
-        # the two symbols under and over.  The third element is the space
-        # (in multiples of underline height)
-        r'AA' : (  ('rm', 'A', 1.0), (None, '\circ', 0.5), 0.0),
-    }
-
-    def c_over_c(self, s, loc, toks):
-        sym = toks[0]
-        state = self.get_state()
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-
-        under_desc, over_desc, space = \
-            self._char_over_chars.get(sym, (None, None, 0.0))
-        if under_desc is None:
-            raise ParseFatalException("Error parsing symbol")
-
-        over_state = state.copy()
-        if over_desc[0] is not None:
-            over_state.font = over_desc[0]
-        over_state.fontsize *= over_desc[2]
-        over = Accent(over_desc[1], over_state)
-
-        under_state = state.copy()
-        if under_desc[0] is not None:
-            under_state.font = under_desc[0]
-        under_state.fontsize *= under_desc[2]
-        under = Char(under_desc[1], under_state)
-
-        width = max(over.width, under.width)
-
-        over_centered = HCentered([over])
-        over_centered.hpack(width, 'exactly')
-
-        under_centered = HCentered([under])
-        under_centered.hpack(width, 'exactly')
-
-        return Vlist([
-                over_centered,
-                Vbox(0., thickness * space),
-                under_centered
-                ])
-
-    _accent_map = {
-        r'hat'   : r'\circumflexaccent',
-        r'breve' : r'\combiningbreve',
-        r'bar'   : r'\combiningoverline',
-        r'grave' : r'\combininggraveaccent',
-        r'acute' : r'\combiningacuteaccent',
-        r'ddot'  : r'\combiningdiaeresis',
-        r'tilde' : r'\combiningtilde',
-        r'dot'   : r'\combiningdotabove',
-        r'vec'   : r'\combiningrightarrowabove',
-        r'"'     : r'\combiningdiaeresis',
-        r"`"     : r'\combininggraveaccent',
-        r"'"     : r'\combiningacuteaccent',
-        r'~'     : r'\combiningtilde',
-        r'.'     : r'\combiningdotabove',
-        r'^'     : r'\circumflexaccent',
-        r'overrightarrow' : r'\rightarrow',
-        r'overleftarrow'  : r'\leftarrow'
-        }
-
-    _wide_accents = set(r"widehat widetilde widebar".split())
-
-    def accent(self, s, loc, toks):
-        assert(len(toks)==1)
-        state = self.get_state()
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-        if len(toks[0]) != 2:
-            raise ParseFatalException("Error parsing accent")
-        accent, sym = toks[0]
-        if accent in self._wide_accents:
-            accent = AutoWidthChar(
-                '\\' + accent, sym.width, state, char_class=Accent)
-        else:
-            accent = Accent(self._accent_map[accent], state)
-        centered = HCentered([accent])
-        centered.hpack(sym.width, 'exactly')
-        return Vlist([
-                centered,
-                Vbox(0., thickness * 2.0),
-                Hlist([sym])
-                ])
-
-    def function(self, s, loc, toks):
-        #~ print "function", toks
-        self.push_state()
-        state = self.get_state()
-        state.font = 'rm'
-        hlist = Hlist([Char(c, state) for c in toks[0]])
-        self.pop_state()
-        hlist.function_name = toks[0]
-        return hlist
-
-    def operatorname(self, s, loc, toks):
-        self.push_state()
-        state = self.get_state()
-        state.font = 'rm'
-        # Change the font of Chars, but leave Kerns alone
-        for c in toks[0]:
-            if isinstance(c, Char):
-                c.font = 'rm'
-                c._update_metrics()
-        self.pop_state()
-        return Hlist(toks[0])
-
-    def start_group(self, s, loc, toks):
-        self.push_state()
-        # Deal with LaTeX-style font tokens
-        if len(toks):
-            self.get_state().font = toks[0][4:]
-        return []
-
-    def group(self, s, loc, toks):
-        grp = Hlist(toks[0])
-        return [grp]
-    required_group = simple_group = group
-
-    def end_group(self, s, loc, toks):
-        self.pop_state()
-        return []
-
-    def font(self, s, loc, toks):
-        assert(len(toks)==1)
-        name = toks[0]
-        self.get_state().font = name
-        return []
-
-    def is_overunder(self, nucleus):
-        if isinstance(nucleus, Char):
-            return nucleus.c in self._overunder_symbols
-        elif isinstance(nucleus, Hlist) and hasattr(nucleus, 'function_name'):
-            return nucleus.function_name in self._overunder_functions
-        return False
-
-    def is_dropsub(self, nucleus):
-        if isinstance(nucleus, Char):
-            return nucleus.c in self._dropsub_symbols
-        return False
-
-    def is_slanted(self, nucleus):
-        if isinstance(nucleus, Char):
-            return nucleus.is_slanted()
-        return False
-
-    def subsuper(self, s, loc, toks):
-        assert(len(toks)==1)
-        # print 'subsuper', toks
-
-        nucleus = None
-        sub = None
-        super = None
-
-        # Pick all of the apostrophe's out
-        napostrophes = 0
-        new_toks = []
-        for tok in toks[0]:
-            if isinstance(tok, six.string_types) and tok not in ('^', '_'):
-                napostrophes += len(tok)
-            else:
-                new_toks.append(tok)
-        toks = new_toks
-
-        if len(toks) == 0:
-            assert napostrophes
-            nucleus = Hbox(0.0)
-        elif len(toks) == 1:
-            if not napostrophes:
-                return toks[0] # .asList()
-            else:
-                nucleus = toks[0]
-        elif len(toks) == 2:
-            op, next = toks
-            nucleus = Hbox(0.0)
-            if op == '_':
-                sub = next
-            else:
-                super = next
-        elif len(toks) == 3:
-            nucleus, op, next = toks
-            if op == '_':
-                sub = next
-            else:
-                super = next
-        elif len(toks) == 5:
-            nucleus, op1, next1, op2, next2 = toks
-            if op1 == op2:
-                if op1 == '_':
-                    raise ParseFatalException("Double subscript")
-                else:
-                    raise ParseFatalException("Double superscript")
-            if op1 == '_':
-                sub = next1
-                super = next2
-            else:
-                super = next1
-                sub = next2
-        else:
-            raise ParseFatalException(
-                "Subscript/superscript sequence is too long. "
-                "Use braces { } to remove ambiguity.")
-
-        state = self.get_state()
-        rule_thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-        xHeight = state.font_output.get_xheight(
-            state.font, state.fontsize, state.dpi)
-
-        if napostrophes:
-            if super is None:
-                super = Hlist([])
-            for i in range(napostrophes):
-                super.children.extend(self.symbol(s, loc, ['\prime']))
-
-        # Handle over/under symbols, such as sum or integral
-        if self.is_overunder(nucleus):
-            vlist = []
-            shift = 0.
-            width = nucleus.width
-            if super is not None:
-                super.shrink()
-                width = max(width, super.width)
-            if sub is not None:
-                sub.shrink()
-                width = max(width, sub.width)
-
-            if super is not None:
-                hlist = HCentered([super])
-                hlist.hpack(width, 'exactly')
-                vlist.extend([hlist, Kern(rule_thickness * 3.0)])
-            hlist = HCentered([nucleus])
-            hlist.hpack(width, 'exactly')
-            vlist.append(hlist)
-            if sub is not None:
-                hlist = HCentered([sub])
-                hlist.hpack(width, 'exactly')
-                vlist.extend([Kern(rule_thickness * 3.0), hlist])
-                shift = hlist.height
-            vlist = Vlist(vlist)
-            vlist.shift_amount = shift + nucleus.depth
-            result = Hlist([vlist])
-            return [result]
-
-        # Handle regular sub/superscripts
-        shift_up = nucleus.height - SUBDROP * xHeight
-        if self.is_dropsub(nucleus):
-            shift_down = nucleus.depth + SUBDROP * xHeight
-        else:
-            shift_down = SUBDROP * xHeight
-        if super is None:
-            # node757
-            sub.shrink()
-            x = Hlist([sub])
-            # x.width += SCRIPT_SPACE * xHeight
-            shift_down = max(shift_down, SUB1)
-            clr = x.height - (abs(xHeight * 4.0) / 5.0)
-            shift_down = max(shift_down, clr)
-            x.shift_amount = shift_down
-        else:
-            super.shrink()
-            x = Hlist([super, Kern(SCRIPT_SPACE * xHeight)])
-            # x.width += SCRIPT_SPACE * xHeight
-            clr = SUP1 * xHeight
-            shift_up = max(shift_up, clr)
-            clr = x.depth + (abs(xHeight) / 4.0)
-            shift_up = max(shift_up, clr)
-            if sub is None:
-                x.shift_amount = -shift_up
-            else: # Both sub and superscript
-                sub.shrink()
-                y = Hlist([sub])
-                # y.width += SCRIPT_SPACE * xHeight
-                shift_down = max(shift_down, SUB1 * xHeight)
-                clr = (2.0 * rule_thickness -
-                       ((shift_up - x.depth) - (y.height - shift_down)))
-                if clr > 0.:
-                    shift_up += clr
-                    shift_down += clr
-                if self.is_slanted(nucleus):
-                    x.shift_amount = DELTA * (shift_up + shift_down)
-                x = Vlist([x,
-                           Kern((shift_up - x.depth) - (y.height - shift_down)),
-                           y])
-                x.shift_amount = shift_down
-
-        result = Hlist([nucleus, x])
-        return [result]
-
-    def _genfrac(self, ldelim, rdelim, rule, style, num, den):
-        state = self.get_state()
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-
-        rule = float(rule)
-        num.shrink()
-        den.shrink()
-        cnum = HCentered([num])
-        cden = HCentered([den])
-        width = max(num.width, den.width)
-        cnum.hpack(width, 'exactly')
-        cden.hpack(width, 'exactly')
-        vlist = Vlist([cnum,                      # numerator
-                       Vbox(0, thickness * 2.0),  # space
-                       Hrule(state, rule),        # rule
-                       Vbox(0, thickness * 2.0),  # space
-                       cden                       # denominator
-                       ])
-
-        # Shift so the fraction line sits in the middle of the
-        # equals sign
-        metrics = state.font_output.get_metrics(
-            state.font, rcParams['mathtext.default'],
-            '=', state.fontsize, state.dpi)
-        shift = (cden.height -
-                 ((metrics.ymax + metrics.ymin) / 2 -
-                  thickness * 3.0))
-        vlist.shift_amount = shift
-
-        result = [Hlist([vlist, Hbox(thickness * 2.)])]
-        if ldelim or rdelim:
-            if ldelim == '':
-                ldelim = '.'
-            if rdelim == '':
-                rdelim = '.'
-            return self._auto_sized_delimiter(ldelim, result, rdelim)
-        return result
-
-    def genfrac(self, s, loc, toks):
-        assert(len(toks)==1)
-        assert(len(toks[0])==6)
-
-        return self._genfrac(*tuple(toks[0]))
-
-    def frac(self, s, loc, toks):
-        assert(len(toks)==1)
-        assert(len(toks[0])==2)
-        state = self.get_state()
-
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-        num, den = toks[0]
-
-        return self._genfrac('', '', thickness, '', num, den)
-
-    def stackrel(self, s, loc, toks):
-        assert(len(toks)==1)
-        assert(len(toks[0])==2)
-        num, den = toks[0]
-
-        return self._genfrac('', '', 0.0, '', num, den)
-
-    def binom(self, s, loc, toks):
-        assert(len(toks)==1)
-        assert(len(toks[0])==2)
-        num, den = toks[0]
-
-        return self._genfrac('(', ')', 0.0, '', num, den)
-
-    def sqrt(self, s, loc, toks):
-        #~ print "sqrt", toks
-        root, body = toks[0]
-        state = self.get_state()
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-
-        # Determine the height of the body, and add a little extra to
-        # the height so it doesn't seem cramped
-        height = body.height - body.shift_amount + thickness * 5.0
-        depth = body.depth + body.shift_amount
-        check = AutoHeightChar(r'\__sqrt__', height, depth, state, always=True)
-        height = check.height - check.shift_amount
-        depth = check.depth + check.shift_amount
-
-        # Put a little extra space to the left and right of the body
-        padded_body = Hlist([Hbox(thickness * 2.0),
-                             body,
-                             Hbox(thickness * 2.0)])
-        rightside = Vlist([Hrule(state),
-                           Fill(),
-                           padded_body])
-        # Stretch the glue between the hrule and the body
-        rightside.vpack(height + (state.fontsize * state.dpi) / (100.0 * 12.0),
-                        'exactly', depth)
-
-        # Add the root and shift it upward so it is above the tick.
-        # The value of 0.6 is a hard-coded hack ;)
-        if root is None:
-            root = Box(check.width * 0.5, 0., 0.)
-        else:
-            root = Hlist([Char(x, state) for x in root])
-            root.shrink()
-            root.shrink()
-
-        root_vlist = Vlist([Hlist([root])])
-        root_vlist.shift_amount = -height * 0.6
-
-        hlist = Hlist([root_vlist,               # Root
-                       # Negative kerning to put root over tick
-                       Kern(-check.width * 0.5),
-                       check,                    # Check
-                       rightside])               # Body
-        return [hlist]
-
-    def overline(self, s, loc, toks):
-        assert(len(toks)==1)
-        assert(len(toks[0])==1)
-
-        body = toks[0][0]
-
-        state = self.get_state()
-        thickness = state.font_output.get_underline_thickness(
-            state.font, state.fontsize, state.dpi)
-
-        height = body.height - body.shift_amount + thickness * 3.0
-        depth = body.depth + body.shift_amount
-
-        # Place overline above body
-        rightside = Vlist([Hrule(state),
-                           Fill(),
-                           Hlist([body])])
-
-        # Stretch the glue between the hrule and the body
-        rightside.vpack(height + (state.fontsize * state.dpi) / (100.0 * 12.0),
-                        'exactly', depth)
-
-        hlist = Hlist([rightside])
-        return [hlist]
+import functools
+import logging
 
-    def _auto_sized_delimiter(self, front, middle, back):
-        state = self.get_state()
-        if len(middle):
-            height = max([x.height for x in middle])
-            depth = max([x.depth for x in middle])
-            factor = None
-        else:
-            height = 0
-            depth = 0
-            factor = 1.0
-        parts = []
-        # \left. and \right. aren't supposed to produce any symbols
-        if front != '.':
-            parts.append(AutoHeightChar(front, height, depth, state, factor=factor))
-        parts.extend(middle)
-        if back != '.':
-            parts.append(AutoHeightChar(back, height, depth, state, factor=factor))
-        hlist = Hlist(parts)
-        return hlist
+import matplotlib as mpl
+from matplotlib import _api, _mathtext
+from matplotlib.ft2font import LoadFlags
+from matplotlib.font_manager import FontProperties
+from ._mathtext import (  # noqa: F401, reexported API
+    RasterParse, VectorParse, get_unicode_index)
 
-    def auto_delim(self, s, loc, toks):
-        #~ print "auto_delim", toks
-        front, middle, back = toks
+_log = logging.getLogger(__name__)
 
-        return self._auto_sized_delimiter(front, middle.asList(), back)
 
-###
+get_unicode_index.__module__ = __name__
 
 ##############################################################################
 # MAIN
 
-class MathTextParser(object):
-    _parser = None
-
-    _backend_mapping = {
-        'bitmap': MathtextBackendBitmap,
-        'agg'   : MathtextBackendAgg,
-        'ps'    : MathtextBackendPs,
-        'pdf'   : MathtextBackendPdf,
-        'svg'   : MathtextBackendSvg,
-        'path'  : MathtextBackendPath,
-        'cairo' : MathtextBackendCairo,
-        'macosx': MathtextBackendAgg,
-        }
 
+class MathTextParser:
+    _parser = None
     _font_type_mapping = {
-        'cm'       : BakomaFonts,
-        'stix'     : StixFonts,
-        'stixsans' : StixSansFonts,
-        'custom'   : UnicodeFonts
-        }
+        'cm':          _mathtext.BakomaFonts,
+        'dejavuserif': _mathtext.DejaVuSerifFonts,
+        'dejavusans':  _mathtext.DejaVuSansFonts,
+        'stix':        _mathtext.StixFonts,
+        'stixsans':    _mathtext.StixSansFonts,
+        'custom':      _mathtext.UnicodeFonts,
+    }
 
     def __init__(self, output):
         """
         Create a MathTextParser for the given backend *output*.
+
+        Parameters
+        ----------
+        output : {"path", "agg"}
+            Whether to return a `VectorParse` ("path") or a
+            `RasterParse` ("agg", or its synonym "macosx").
         """
-        self._output = output.lower()
-        self._cache = maxdict(50)
+        self._output_type = _api.check_getitem(
+            {"path": "vector", "agg": "raster", "macosx": "raster"},
+            output=output.lower())
 
-    def parse(self, s, dpi = 72, prop = None):
+    def parse(self, s, dpi=72, prop=None, *, antialiased=None):
         """
-        Parse the given math expression *s* at the given *dpi*.  If
-        *prop* is provided, it is a
-        :class:`~matplotlib.font_manager.FontProperties` object
-        specifying the "default" font to use in the math expression,
-        used for all non-math text.
+        Parse the given math expression *s* at the given *dpi*.  If *prop* is
+        provided, it is a `.FontProperties` object specifying the "default"
+        font to use in the math expression, used for all non-math text.
 
-        The results are cached, so multiple calls to :meth:`parse`
+        The results are cached, so multiple calls to `parse`
         with the same expression should be fast.
+
+        Depending on the *output* type, this returns either a `VectorParse` or
+        a `RasterParse`.
         """
-        # There is a bug in Python 3.x where it leaks frame references,
-        # and therefore can't handle this caching
+        # lru_cache can't decorate parse() directly because prop is
+        # mutable, so we key the cache using an internal copy (see
+        # Text._get_text_metrics_with_cache for a similar case); likewise,
+        # we need to check the mutable state of the text.antialiased and
+        # text.hinting rcParams.
+        prop = prop.copy() if prop is not None else None
+        antialiased = mpl._val_or_rc(antialiased, 'text.antialiased')
+        from matplotlib.backends import backend_agg
+        load_glyph_flags = {
+            "vector": LoadFlags.NO_HINTING,
+            "raster": backend_agg.get_hinting_flag(),
+        }[self._output_type]
+        return self._parse_cached(s, dpi, prop, antialiased, load_glyph_flags)
+
+    @functools.lru_cache(50)
+    def _parse_cached(self, s, dpi, prop, antialiased, load_glyph_flags):
         if prop is None:
             prop = FontProperties()
-
-        cacheKey = (s, dpi, hash(prop))
-        result = self._cache.get(cacheKey)
-        if result is not None:
-            return result
-
-        if self._output == 'ps' and rcParams['ps.useafm']:
-            font_output = StandardPsFonts(prop)
-        else:
-            backend = self._backend_mapping[self._output]()
-            fontset = rcParams['mathtext.fontset']
-            fontset_class = self._font_type_mapping.get(fontset.lower())
-            if fontset_class is not None:
-                font_output = fontset_class(prop, backend)
-            else:
-                raise ValueError(
-                    "mathtext.fontset must be either 'cm', 'stix', "
-                    "'stixsans', or 'custom'")
-
+        fontset_class = _api.check_getitem(
+            self._font_type_mapping, fontset=prop.get_math_fontfamily())
+        fontset = fontset_class(prop, load_glyph_flags)
         fontsize = prop.get_size_in_points()
 
-        # This is a class variable so we don't rebuild the parser
-        # with each request.
-        if self._parser is None:
-            self.__class__._parser = Parser()
-
-        box = self._parser.parse(s, font_output, fontsize, dpi)
-        font_output.set_canvas_size(box.width, box.height, box.depth)
-        result = font_output.get_results(box)
-        self._cache[cacheKey] = result
-        return result
-
-    def to_mask(self, texstr, dpi=120, fontsize=14):
-        """
-        *texstr*
-            A valid mathtext string, e.g., r'IQ: $\sigma_i=15$'
-
-        *dpi*
-            The dots-per-inch to render the text
-
-        *fontsize*
-            The font size in points
-
-        Returns a tuple (*array*, *depth*)
-
-          - *array* is an NxM uint8 alpha ubyte mask array of
-            rasterized tex.
+        if self._parser is None:  # Cache the parser globally.
+            self.__class__._parser = _mathtext.Parser()
 
-          - depth is the offset of the baseline from the bottom of the
-            image in pixels.
-        """
-        assert(self._output=="bitmap")
-        prop = FontProperties(size=fontsize)
-        ftimage, depth = self.parse(texstr, dpi=dpi, prop=prop)
-
-        x = ftimage.as_array()
-        return x, depth
-
-    def to_rgba(self, texstr, color='black', dpi=120, fontsize=14):
-        """
-        *texstr*
-            A valid mathtext string, e.g., r'IQ: $\sigma_i=15$'
-
-        *color*
-            Any matplotlib color argument
-
-        *dpi*
-            The dots-per-inch to render the text
-
-        *fontsize*
-            The font size in points
-
-        Returns a tuple (*array*, *depth*)
-
-          - *array* is an NxM uint8 alpha ubyte mask array of
-            rasterized tex.
-
-          - depth is the offset of the baseline from the bottom of the
-            image in pixels.
-        """
-        x, depth = self.to_mask(texstr, dpi=dpi, fontsize=fontsize)
-
-        r, g, b = mcolors.colorConverter.to_rgb(color)
-        RGBA = np.zeros((x.shape[0], x.shape[1], 4), dtype=np.uint8)
-        RGBA[:,:,0] = int(255*r)
-        RGBA[:,:,1] = int(255*g)
-        RGBA[:,:,2] = int(255*b)
-        RGBA[:,:,3] = x
-        return RGBA, depth
-
-    def to_png(self, filename, texstr, color='black', dpi=120, fontsize=14):
-        """
-        Writes a tex expression to a PNG file.
-
-        Returns the offset of the baseline from the bottom of the
-        image in pixels.
-
-        *filename*
-            A writable filename or fileobject
+        box = self._parser.parse(s, fontset, fontsize, dpi)
+        output = _mathtext.ship(box)
+        if self._output_type == "vector":
+            return output.to_vector()
+        elif self._output_type == "raster":
+            return output.to_raster(antialiased=antialiased)
 
-        *texstr*
-            A valid mathtext string, e.g., r'IQ: $\sigma_i=15$'
 
-        *color*
-            A valid matplotlib color argument
-
-        *dpi*
-            The dots-per-inch to render the text
-
-        *fontsize*
-            The font size in points
-
-        Returns the offset of the baseline from the bottom of the
-        image in pixels.
-        """
-        rgba, depth = self.to_rgba(texstr, color=color, dpi=dpi, fontsize=fontsize)
-        _png.write_png(rgba, filename)
-        return depth
-
-    def get_depth(self, texstr, dpi=120, fontsize=14):
-        """
-        Returns the offset of the baseline from the bottom of the
-        image in pixels.
-
-        *texstr*
-            A valid mathtext string, e.g., r'IQ: $\sigma_i=15$'
-
-        *dpi*
-            The dots-per-inch to render the text
-
-        *fontsize*
-            The font size in points
-        """
-        assert(self._output=="bitmap")
-        prop = FontProperties(size=fontsize)
-        ftimage, depth = self.parse(texstr, dpi=dpi, prop=prop)
-        return depth
-
-def math_to_image(s, filename_or_obj, prop=None, dpi=None, format=None):
+def math_to_image(s, filename_or_obj, prop=None, dpi=None, format=None,
+                  *, color=None):
     """
     Given a math expression, renders it in a closely-clipped bounding
     box to an image file.
 
-    *s*
-       A math expression.  The math portion should be enclosed in
-       dollar signs.
-
-    *filename_or_obj*
-       A filepath or writable file-like object to write the image data
-       to.
-
-    *prop*
-       If provided, a FontProperties() object describing the size and
-       style of the text.
-
-    *dpi*
-       Override the output dpi, otherwise use the default associated
-       with the output format.
-
-    *format*
-       The output format, e.g., 'svg', 'pdf', 'ps' or 'png'.  If not
-       provided, will be deduced from the filename.
+    Parameters
+    ----------
+    s : str
+        A math expression.  The math portion must be enclosed in dollar signs.
+    filename_or_obj : str or path-like or file-like
+        Where to write the image data.
+    prop : `.FontProperties`, optional
+        The size and style of the text.
+    dpi : float, optional
+        The output dpi.  If not set, the dpi is determined as for
+        `.Figure.savefig`.
+    format : str, optional
+        The output format, e.g., 'svg', 'pdf', 'ps' or 'png'.  If not set, the
+        format is determined as for `.Figure.savefig`.
+    color : str, optional
+        Foreground color, defaults to :rc:`text.color`.
     """
     from matplotlib import figure
-    # backend_agg supports all of the core output formats
-    from matplotlib.backends import backend_agg
-
-    if prop is None:
-        prop = FontProperties()
 
     parser = MathTextParser('path')
     width, height, depth, _, _ = parser.parse(s, dpi=72, prop=prop)
 
     fig = figure.Figure(figsize=(width / 72.0, height / 72.0))
-    fig.text(0, depth/height, s, fontproperties=prop)
-    backend_agg.FigureCanvasAgg(fig)
+    fig.text(0, depth/height, s, fontproperties=prop, color=color)
     fig.savefig(filename_or_obj, dpi=dpi, format=format)
 
     return depth
diff --git a/lib/matplotlib/mathtext.pyi b/lib/matplotlib/mathtext.pyi
new file mode 100644
index 000000000000..607501a275c6
--- /dev/null
+++ b/lib/matplotlib/mathtext.pyi
@@ -0,0 +1,33 @@
+import os
+from typing import Generic, IO, Literal, TypeVar, overload
+
+from matplotlib.font_manager import FontProperties
+from matplotlib.typing import ColorType
+
+# Re-exported API from _mathtext.
+from ._mathtext import (
+    RasterParse as RasterParse,
+    VectorParse as VectorParse,
+    get_unicode_index as get_unicode_index,
+)
+
+_ParseType = TypeVar("_ParseType", RasterParse, VectorParse)
+
+class MathTextParser(Generic[_ParseType]):
+    @overload
+    def __init__(self: MathTextParser[VectorParse], output: Literal["path"]) -> None: ...
+    @overload
+    def __init__(self: MathTextParser[RasterParse], output: Literal["agg", "raster", "macosx"]) -> None: ...
+    def parse(
+        self, s: str, dpi: float = ..., prop: FontProperties | None = ..., *, antialiased: bool | None = ...
+    ) -> _ParseType: ...
+
+def math_to_image(
+    s: str,
+    filename_or_obj: str | os.PathLike | IO,
+    prop: FontProperties | None = ...,
+    dpi: float | None = ...,
+    format: str | None = ...,
+    *,
+    color: ColorType | None = ...
+) -> float: ...
diff --git a/lib/matplotlib/meson.build b/lib/matplotlib/meson.build
new file mode 100644
index 000000000000..c4746f332bcb
--- /dev/null
+++ b/lib/matplotlib/meson.build
@@ -0,0 +1,169 @@
+python_sources = [
+  '__init__.py',
+  '_afm.py',
+  '_animation_data.py',
+  '_blocking_input.py',
+  '_cm.py',
+  '_cm_bivar.py',
+  '_cm_listed.py',
+  '_cm_multivar.py',
+  '_color_data.py',
+  '_constrained_layout.py',
+  '_docstring.py',
+  '_enums.py',
+  '_fontconfig_pattern.py',
+  '_internal_utils.py',
+  '_layoutgrid.py',
+  '_mathtext.py',
+  '_mathtext_data.py',
+  '_pylab_helpers.py',
+  '_text_helpers.py',
+  '_tight_bbox.py',
+  '_tight_layout.py',
+  '_type1font.py',
+  'animation.py',
+  'artist.py',
+  'axis.py',
+  'backend_bases.py',
+  'backend_managers.py',
+  'backend_tools.py',
+  'bezier.py',
+  'category.py',
+  'cbook.py',
+  'cm.py',
+  'collections.py',
+  'colorbar.py',
+  'colorizer.py',
+  'colors.py',
+  'container.py',
+  'contour.py',
+  'dates.py',
+  'dviread.py',
+  'figure.py',
+  'font_manager.py',
+  'gridspec.py',
+  'hatch.py',
+  'image.py',
+  'inset.py',
+  'layout_engine.py',
+  'legend_handler.py',
+  'legend.py',
+  'lines.py',
+  'markers.py',
+  'mathtext.py',
+  'mlab.py',
+  'offsetbox.py',
+  'patches.py',
+  'patheffects.py',
+  'path.py',
+  'pylab.py',
+  'pyplot.py',
+  'quiver.py',
+  'rcsetup.py',
+  'sankey.py',
+  'scale.py',
+  'spines.py',
+  'stackplot.py',
+  'streamplot.py',
+  'table.py',
+  'texmanager.py',
+  'textpath.py',
+  'text.py',
+  'ticker.py',
+  'transforms.py',
+  'typing.py',
+  'units.py',
+  'widgets.py',
+]
+
+typing_sources = [
+  'py.typed',
+  # Compiled extension types.
+  '_c_internal_utils.pyi',
+  'ft2font.pyi',
+  '_image.pyi',
+  '_qhull.pyi',
+  '_tri.pyi',
+  # Pure Python types.
+  '__init__.pyi',
+  '_color_data.pyi',
+  '_docstring.pyi',
+  '_enums.pyi',
+  '_path.pyi',
+  '_pylab_helpers.pyi',
+  'animation.pyi',
+  'artist.pyi',
+  'axis.pyi',
+  'backend_bases.pyi',
+  'backend_managers.pyi',
+  'backend_tools.pyi',
+  'bezier.pyi',
+  'cbook.pyi',
+  'cm.pyi',
+  'collections.pyi',
+  'colorbar.pyi',
+  'colorizer.pyi',
+  'colors.pyi',
+  'container.pyi',
+  'contour.pyi',
+  'dviread.pyi',
+  'figure.pyi',
+  'font_manager.pyi',
+  'gridspec.pyi',
+  'hatch.pyi',
+  'image.pyi',
+  'inset.pyi',
+  'layout_engine.pyi',
+  'legend_handler.pyi',
+  'legend.pyi',
+  'lines.pyi',
+  'markers.pyi',
+  'mathtext.pyi',
+  'mlab.pyi',
+  'offsetbox.pyi',
+  'patches.pyi',
+  'patheffects.pyi',
+  'path.pyi',
+  'quiver.pyi',
+  'rcsetup.pyi',
+  'sankey.pyi',
+  'scale.pyi',
+  'spines.pyi',
+  'stackplot.pyi',
+  'streamplot.pyi',
+  'table.pyi',
+  'texmanager.pyi',
+  'textpath.pyi',
+  'text.pyi',
+  'ticker.pyi',
+  'transforms.pyi',
+  'widgets.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib')
+
+fs = import('fs')
+if fs.exists('_version.py')
+    py3.install_sources('_version.py', subdir: 'matplotlib')
+else
+  cfg = configuration_data()
+  cfg.set_quoted('VCS_TAG', meson.project_version())
+  configure_file(
+    input: '_version.py.in', output: '_version.py',
+    configuration: cfg,
+    install: true,
+    install_tag: 'python-runtime',
+    install_dir: py3.get_install_dir() / 'matplotlib')
+endif
+
+subdir('_api')
+subdir('axes')
+subdir('backends')
+subdir('mpl-data')
+subdir('projections')
+subdir('sphinxext')
+subdir('style')
+subdir('testing')
+subdir('tests')
+subdir('tri')
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 19bbdc3291c3..f538b79e44f0 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1,522 +1,196 @@
 """
+Numerical Python functions written for compatibility with MATLAB
+commands with the same names. Most numerical Python functions can be found in
+the `NumPy`_ and `SciPy`_ libraries. What remains here is code for performing
+spectral computations and kernel density estimations.
 
-Numerical python functions written for compatability with MATLAB
-commands with the same names.
+.. _NumPy: https://numpy.org
+.. _SciPy: https://www.scipy.org
 
-MATLAB compatible functions
--------------------------------
+Spectral functions
+------------------
 
-:func:`cohere`
+`cohere`
     Coherence (normalized cross spectral density)
 
-:func:`csd`
-    Cross spectral density uing Welch's average periodogram
+`csd`
+    Cross spectral density using Welch's average periodogram
 
-:func:`detrend`
+`detrend`
     Remove the mean or best fit line from an array
 
-:func:`find`
-    Return the indices where some condition is true;
-    numpy.nonzero is similar but more general.
+`psd`
+    Power spectral density using Welch's average periodogram
 
-:func:`griddata`
-    Interpolate irregularly distributed data to a
-    regular grid.
-
-:func:`prctile`
-    Find the percentiles of a sequence
-
-:func:`prepca`
-    Principal Component Analysis
-
-:func:`psd`
-    Power spectral density uing Welch's average periodogram
-
-:func:`rk4`
-    A 4th order runge kutta integrator for 1D or ND systems
-
-:func:`specgram`
+`specgram`
     Spectrogram (spectrum over segments of time)
 
-Miscellaneous functions
--------------------------
-
-Functions that don't exist in MATLAB, but are useful anyway:
-
-:func:`cohere_pairs`
-    Coherence over all pairs.  This is not a MATLAB function, but we
-    compute coherence a lot in my lab, and we compute it for a lot of
-    pairs.  This function is optimized to do this efficiently by
-    caching the direct FFTs.
-
-:func:`rk4`
-    A 4th order Runge-Kutta ODE integrator in case you ever find
-    yourself stranded without scipy (and the far superior
-    scipy.integrate tools)
-
-:func:`contiguous_regions`
-    Return the indices of the regions spanned by some logical mask
-
-:func:`cross_from_below`
-    Return the indices where a 1D array crosses a threshold from below
-
-:func:`cross_from_above`
-    Return the indices where a 1D array crosses a threshold from above
-
-:func:`complex_spectrum`
+`complex_spectrum`
     Return the complex-valued frequency spectrum of a signal
 
-:func:`magnitude_spectrum`
+`magnitude_spectrum`
     Return the magnitude of the frequency spectrum of a signal
 
-:func:`angle_spectrum`
+`angle_spectrum`
     Return the angle (wrapped phase) of the frequency spectrum of a signal
 
-:func:`phase_spectrum`
+`phase_spectrum`
     Return the phase (unwrapped angle) of the frequency spectrum of a signal
 
-:func:`detrend_mean`
+`detrend_mean`
     Remove the mean from a line.
 
-:func:`demean`
-    Remove the mean from a line. This function is the same as as
-    :func:`detrend_mean` except for the default *axis*.
-
-:func:`detrend_linear`
+`detrend_linear`
     Remove the best fit line from a line.
 
-:func:`detrend_none`
+`detrend_none`
     Return the original line.
-
-:func:`stride_windows`
-    Get all windows in an array in a memory-efficient manner
-
-:func:`stride_repeat`
-    Repeat an array in a memory-efficient manner
-
-:func:`apply_window`
-    Apply a window along a given axis
-
-
-record array helper functions
--------------------------------
-
-A collection of helper methods for numpyrecord arrays
-
-.. _htmlonly:
-
-    See :ref:`misc-examples-index`
-
-:func:`rec2txt`
-    Pretty print a record array
-
-:func:`rec2csv`
-    Store record array in CSV file
-
-:func:`csv2rec`
-    Import record array from CSV file with type inspection
-
-:func:`rec_append_fields`
-    Adds  field(s)/array(s) to record array
-
-:func:`rec_drop_fields`
-    Drop fields from record array
-
-:func:`rec_join`
-    Join two record arrays on sequence of fields
-
-:func:`recs_join`
-    A simple join of multiple recarrays using a single column as a key
-
-:func:`rec_groupby`
-    Summarize data by groups (similar to SQL GROUP BY)
-
-:func:`rec_summarize`
-    Helper code to filter rec array fields into new fields
-
-For the rec viewer functions(e rec2csv), there are a bunch of Format
-objects you can pass into the functions that will do things like color
-negative values red, set percent formatting and scaling, etc.
-
-Example usage::
-
-    r = csv2rec('somefile.csv', checkrows=0)
-
-    formatd = dict(
-        weight = FormatFloat(2),
-        change = FormatPercent(2),
-        cost   = FormatThousands(2),
-        )
-
-
-    rec2excel(r, 'test.xls', formatd=formatd)
-    rec2csv(r, 'test.csv', formatd=formatd)
-    scroll = rec2gtk(r, formatd=formatd)
-
-    win = gtk.Window()
-    win.set_size_request(600,800)
-    win.add(scroll)
-    win.show_all()
-    gtk.main()
-
-
-Deprecated functions
----------------------
-
-The following are deprecated; please import directly from numpy (with
-care--function signatures may differ):
-
-
-:func:`load`
-    Load ASCII file - use numpy.loadtxt
-
-:func:`save`
-    Save ASCII file - use numpy.savetxt
-
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import map, xrange, zip
-if six.PY3:
-    long = int
-
-import copy
-import csv
-import operator
-import os
-import warnings
+import functools
+from numbers import Number
 
 import numpy as np
-ma = np.ma
-from matplotlib import verbose
-
-import matplotlib.cbook as cbook
-from matplotlib import docstring
-from matplotlib.path import Path
-
 
-def logspace(xmin, xmax, N):
-    '''
-    Return N values logarithmically spaced between xmin and xmax.
-
-    Call signature::
-
-        logspace(xmin, xmax, N)
-    '''
-    return np.exp(np.linspace(np.log(xmin), np.log(xmax), N))
-
-
-def _norm(x):
-    '''
-    Return sqrt(x dot x).
-
-    Call signature::
-
-        _norm(x)
-    '''
-    return np.sqrt(np.dot(x, x))
+from matplotlib import _api, _docstring, cbook
 
 
 def window_hanning(x):
-    '''
-    Return x times the hanning window of len(x).
-
-    Call signature::
-
-        window_hanning(x)
-
-    .. seealso::
+    """
+    Return *x* times the Hanning (or Hann) window of len(*x*).
 
-        :func:`window_none`
-            :func:`window_none` is another window algorithm.
-    '''
+    See Also
+    --------
+    window_none : Another window algorithm.
+    """
     return np.hanning(len(x))*x
 
 
 def window_none(x):
-    '''
-    No window function; simply return x.
-
-    Call signature::
-
-        window_none(x)
-
-    .. seealso::
+    """
+    No window function; simply return *x*.
 
-        :func:`window_hanning`
-            :func:`window_hanning` is another window algorithm.
-    '''
+    See Also
+    --------
+    window_hanning : Another window algorithm.
+    """
     return x
 
 
-def apply_window(x, window, axis=0, return_window=None):
-    '''
-    Apply the given window to the given 1D or 2D array along the given axis.
-
-    Call signature::
-
-        apply_window(x, window, axis=0, return_window=False)
-
-      *x*: 1D or 2D array or sequence
-        Array or sequence containing the data.
-
-      *winodw*: function or array.
-        Either a function to generate a window or an array with length
-        *x*.shape[*axis*]
-
-      *axis*: integer
-        The axis over which to do the repetition.
-        Must be 0 or 1.  The default is 0
-
-      *return_window*: bool
-        If true, also return the 1D values of the window that was applied
-    '''
-    x = np.asarray(x)
-
-    if x.ndim < 1 or x.ndim > 2:
-        raise ValueError('only 1D or 2D arrays can be used')
-    if axis+1 > x.ndim:
-        raise ValueError('axis(=%s) out of bounds' % axis)
-
-    xshape = list(x.shape)
-    xshapetarg = xshape.pop(axis)
-
-    if cbook.iterable(window):
-        if len(window) != xshapetarg:
-            raise ValueError('The len(window) must be the same as the shape '
-                             'of x for the chosen axis')
-        windowVals = window
-    else:
-        windowVals = window(np.ones(xshapetarg, dtype=x.dtype))
-
-    if x.ndim == 1:
-        if return_window:
-            return windowVals * x, windowVals
-        else:
-            return windowVals * x
-
-    xshapeother = xshape.pop()
-
-    otheraxis = (axis+1) % 2
-
-    windowValsRep = stride_repeat(windowVals, xshapeother, axis=otheraxis)
-
-    if return_window:
-        return windowValsRep * x, windowVals
-    else:
-        return windowValsRep * x
-
-
 def detrend(x, key=None, axis=None):
-    '''
-    Return x with its trend removed.
-
-    Call signature::
-
-        detrend(x, key='mean')
+    """
+    Return *x* with its trend removed.
 
-      *x*: array or sequence
+    Parameters
+    ----------
+    x : array or sequence
         Array or sequence containing the data.
 
-      *key*: [ 'default' | 'constant' | 'mean' | 'linear' | 'none'] or function
-          Specifies the detrend algorithm to use.  'default' is 'mean',
-          which is the same as :func:`detrend_mean`.  'constant' is the same.
-          'linear' is the same as :func:`detrend_linear`.  'none' is the same
-          as :func:`detrend_none`.  The default is 'mean'.  See the
-          corresponding functions for more details regarding the algorithms.
-          Can also be a function that carries out the detrend operation.
+    key : {'default', 'constant', 'mean', 'linear', 'none'} or function
+        The detrending algorithm to use. 'default', 'mean', and 'constant' are
+        the same as `detrend_mean`. 'linear' is the same as `detrend_linear`.
+        'none' is the same as `detrend_none`. The default is 'mean'. See the
+        corresponding functions for more details regarding the algorithms. Can
+        also be a function that carries out the detrend operation.
 
-      *axis*: integer
+    axis : int
         The axis along which to do the detrending.
 
-    .. seealso::
-
-        :func:`detrend_mean`
-            :func:`detrend_mean` implements the 'mean' algorithm.
-
-        :func:`detrend_linear`
-            :func:`detrend_linear` implements the 'linear' algorithm.
-
-        :func:`detrend_none`
-            :func:`detrend_none` implements the 'none' algorithm.
-    '''
+    See Also
+    --------
+    detrend_mean : Implementation of the 'mean' algorithm.
+    detrend_linear : Implementation of the 'linear' algorithm.
+    detrend_none : Implementation of the 'none' algorithm.
+    """
     if key is None or key in ['constant', 'mean', 'default']:
         return detrend(x, key=detrend_mean, axis=axis)
     elif key == 'linear':
         return detrend(x, key=detrend_linear, axis=axis)
     elif key == 'none':
         return detrend(x, key=detrend_none, axis=axis)
-    elif cbook.is_string_like(key):
-        raise ValueError("Unknown value for key %s, must be one of: "
-                         "'default', 'constant', 'mean', "
-                         "'linear', or a function" % key)
-
-    if not callable(key):
-        raise ValueError("Unknown value for key %s, must be one of: "
-                         "'default', 'constant', 'mean', "
-                         "'linear', or a function" % key)
-
-    x = np.asarray(x)
-
-    if axis is not None and axis+1 > x.ndim:
-        raise ValueError('axis(=%s) out of bounds' % axis)
-
-    if (axis is None and x.ndim == 0) or (not axis and x.ndim == 1):
-        return key(x)
-
-    # try to use the 'axis' argument if the function supports it,
-    # otherwise use apply_along_axis to do it
-    try:
-        return key(x, axis=axis)
-    except TypeError:
-        return np.apply_along_axis(key, axis=axis, arr=x)
-
-
-def demean(x, axis=0):
-    '''
-    Return x minus its mean along the specified axis.
-
-    Call signature::
-
-        demean(x, axis=0)
-
-      *x*: array or sequence
-        Array or sequence containing the data
-        Can have any dimensionality
-
-      *axis*: integer
-        The axis along which to take the mean.  See numpy.mean for a
-        description of this argument.
-
-    .. seealso::
-
-        :func:`delinear`
-
-        :func:`denone`
-            :func:`delinear` and :func:`denone` are other detrend algorithms.
-
-        :func:`detrend_mean`
-            This function is the same as as :func:`detrend_mean` except
-            for the default *axis*.
-    '''
-    return detrend_mean(x, axis=axis)
+    elif callable(key):
+        x = np.asarray(x)
+        if axis is not None and axis + 1 > x.ndim:
+            raise ValueError(f'axis(={axis}) out of bounds')
+        if (axis is None and x.ndim == 0) or (not axis and x.ndim == 1):
+            return key(x)
+        # try to use the 'axis' argument if the function supports it,
+        # otherwise use apply_along_axis to do it
+        try:
+            return key(x, axis=axis)
+        except TypeError:
+            return np.apply_along_axis(key, axis=axis, arr=x)
+    else:
+        raise ValueError(
+            f"Unknown value for key: {key!r}, must be one of: 'default', "
+            f"'constant', 'mean', 'linear', or a function")
 
 
 def detrend_mean(x, axis=None):
-    '''
-    Return x minus the mean(x).
-
-    Call signature::
-
-        detrend_mean(x, axis=None)
+    """
+    Return *x* minus the mean(*x*).
 
-      *x*: array or sequence
+    Parameters
+    ----------
+    x : array or sequence
         Array or sequence containing the data
         Can have any dimensionality
 
-      *axis*: integer
-        The axis along which to take the mean.  See numpy.mean for a
+    axis : int
+        The axis along which to take the mean.  See `numpy.mean` for a
         description of this argument.
 
-    .. seealso::
-
-        :func:`demean`
-            This function is the same as as :func:`demean` except
-            for the default *axis*.
-
-        :func:`detrend_linear`
-
-        :func:`detrend_none`
-            :func:`detrend_linear` and :func:`detrend_none` are other
-            detrend algorithms.
-
-        :func:`detrend`
-            :func:`detrend` is a wrapper around all the detrend algorithms.
-    '''
+    See Also
+    --------
+    detrend_linear : Another detrend algorithm.
+    detrend_none : Another detrend algorithm.
+    detrend : A wrapper around all the detrend algorithms.
+    """
     x = np.asarray(x)
 
     if axis is not None and axis+1 > x.ndim:
         raise ValueError('axis(=%s) out of bounds' % axis)
 
-    # short-circuit 0-D array.
-    if not x.ndim:
-        return np.array(0., dtype=x.dtype)
-
-    # short-circuit simple operations
-    if axis == 0 or axis is None or x.ndim <= 1:
-        return x - x.mean(axis)
-
-    ind = [slice(None)] * x.ndim
-    ind[axis] = np.newaxis
-    return x - x.mean(axis)[ind]
+    return x - x.mean(axis, keepdims=True)
 
 
 def detrend_none(x, axis=None):
-    '''
-    Return x: no detrending.
-
-    Call signature::
-
-        detrend_none(x, axis=None)
+    """
+    Return *x*: no detrending.
 
-      *x*: any object
+    Parameters
+    ----------
+    x : any object
         An object containing the data
 
-      *axis*: integer
+    axis : int
         This parameter is ignored.
         It is included for compatibility with detrend_mean
 
-    .. seealso::
-
-        :func:`denone`
-            This function is the same as as :func:`denone` except
-            for the default *axis*, which has no effect.
-
-        :func:`detrend_mean`
-
-        :func:`detrend_linear`
-            :func:`detrend_mean` and :func:`detrend_linear` are other
-            detrend algorithms.
-
-        :func:`detrend`
-            :func:`detrend` is a wrapper around all the detrend algorithms.
-    '''
+    See Also
+    --------
+    detrend_mean : Another detrend algorithm.
+    detrend_linear : Another detrend algorithm.
+    detrend : A wrapper around all the detrend algorithms.
+    """
     return x
 
 
 def detrend_linear(y):
-    '''
-    Return x minus best fit line; 'linear' detrending.
-
-    Call signature::
-
-        detrend_linear(y)
+    """
+    Return *x* minus best fit line; 'linear' detrending.
 
-      *y*: 0-D or 1-D array or sequence
+    Parameters
+    ----------
+    y : 0-D or 1-D array or sequence
         Array or sequence containing the data
 
-      *axis*: integer
-        The axis along which to take the mean.  See numpy.mean for a
-        description of this argument.
-
-    .. seealso::
-
-        :func:`delinear`
-            This function is the same as as :func:`delinear` except
-            for the default *axis*.
-
-        :func:`detrend_mean`
-
-        :func:`detrend_none`
-            :func:`detrend_mean` and :func:`detrend_none` are other
-            detrend algorithms.
-
-        :func:`detrend`
-            :func:`detrend` is a wrapper around all the detrend algorithms.
-    '''
+    See Also
+    --------
+    detrend_mean : Another detrend algorithm.
+    detrend_none : Another detrend algorithm.
+    detrend : A wrapper around all the detrend algorithms.
+    """
     # This is faster than an algorithm based on linalg.lstsq.
     y = np.asarray(y)
 
@@ -527,7 +201,7 @@ def detrend_linear(y):
     if not y.ndim:
         return np.array(0., dtype=y.dtype)
 
-    x = np.arange(y.size, dtype=np.float_)
+    x = np.arange(y.size, dtype=float)
 
     C = np.cov(x, y, bias=1)
     b = C[0, 1]/C[0, 0]
@@ -536,130 +210,13 @@ def detrend_linear(y):
     return y - (b*x + a)
 
 
-def stride_windows(x, n, noverlap=None, axis=0):
-    '''
-    Get all windows of x with length n as a single array,
-    using strides to avoid data duplication.
-
-    .. warning::
-
-        It is not safe to write to the output array.  Multiple
-        elements may point to the same piece of memory,
-        so modifying one value may change others.
-
-    Call signature::
-
-        stride_windows(x, n, noverlap=0)
-
-      *x*: 1D array or sequence
-        Array or sequence containing the data.
-
-      *n*: integer
-        The number of data points in each window.
-
-      *noverlap*: integer
-        The overlap between adjacent windows.
-        Default is 0 (no overlap)
-
-      *axis*: integer
-        The axis along which the windows will run.
-
-    Refs:
-        `stackoverflaw: Rolling window for 1D arrays in Numpy?
-        <http://stackoverflow.com/a/6811241>`_
-        `stackoverflaw: Using strides for an efficient moving average filter
-        <http://stackoverflow.com/a/4947453>`_
-    '''
-    if noverlap is None:
-        noverlap = 0
-
-    if noverlap >= n:
-        raise ValueError('noverlap must be less than n')
-    if n < 1:
-        raise ValueError('n cannot be less than 1')
-
-    x = np.asarray(x)
-
-    if x.ndim != 1:
-        raise ValueError('only 1-dimensional arrays can be used')
-    if n == 1 and noverlap == 0:
-        if axis == 0:
-            return x[np.newaxis]
-        else:
-            return x[np.newaxis].transpose()
-    if n > x.size:
-        raise ValueError('n cannot be greater than the length of x')
-
-    step = n - noverlap
-    if axis == 0:
-        shape = (n, (x.shape[-1]-noverlap)//step)
-        strides = (x.strides[0], step*x.strides[0])
-    else:
-        shape = ((x.shape[-1]-noverlap)//step, n)
-        strides = (step*x.strides[0], x.strides[0])
-    return np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides)
-
-
-def stride_repeat(x, n, axis=0):
-    '''
-    Repeat the values in an array in a memory-efficient manner.  Array x is
-    stacked vertically n times.
-
-    .. warning::
-
-        It is not safe to write to the output array.  Multiple
-        elements may point to the same piece of memory, so
-        modifying one value may change others.
-
-    Call signature::
-
-        stride_repeat(x, n, axis=0)
-
-      *x*: 1D array or sequence
-        Array or sequence containing the data.
-
-      *n*: integer
-        The number of time to repeat the array.
-
-      *axis*: integer
-        The axis along which the data will run.
-
-    Refs:
-        `stackoverflaw: Repeat NumPy array without replicating data?
-        <http://stackoverflow.com/a/5568169>`_
-    '''
-    if axis not in [0, 1]:
-        raise ValueError('axis must be 0 or 1')
-    x = np.asarray(x)
-    if x.ndim != 1:
-        raise ValueError('only 1-dimensional arrays can be used')
-
-    if n == 1:
-        if axis == 0:
-            return np.atleast_2d(x)
-        else:
-            return np.atleast_2d(x).T
-    if n < 1:
-        raise ValueError('n cannot be less than 1')
-
-    if axis == 0:
-        shape = (n, x.size)
-        strides = (0, x.strides[0])
-    else:
-        shape = (x.size, n)
-        strides = (x.strides[0], 0)
-
-    return np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides)
-
-
 def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
                      window=None, noverlap=None, pad_to=None,
                      sides=None, scale_by_freq=None, mode=None):
-    '''
-    This is a helper function that implements the commonality between the
-    psd, csd, spectrogram and complex, magnitude, angle, and phase spectrums.
-    It is *NOT* meant to be used outside of mlab and may change at any time.
-    '''
+    """
+    Private helper implementing the common parts between the psd, csd,
+    spectrogram and complex, magnitude, angle, and phase spectrums.
+    """
     if y is None:
         # if y is None use x for y
         same_data = True
@@ -682,12 +239,14 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
     if NFFT is None:
         NFFT = 256
 
+    if noverlap >= NFFT:
+        raise ValueError('noverlap must be less than NFFT')
+
     if mode is None or mode == 'default':
         mode = 'psd'
-    elif mode not in ['psd', 'complex', 'magnitude', 'angle', 'phase']:
-        raise ValueError("Unknown value for mode %s, must be one of: "
-                         "'default', 'psd', 'complex', "
-                         "'magnitude', 'angle', 'phase'" % mode)
+    _api.check_in_list(
+        ['default', 'psd', 'complex', 'magnitude', 'angle', 'phase'],
+        mode=mode)
 
     if not same_data and mode != 'psd':
         raise ValueError("x and y must be equal if mode is not 'psd'")
@@ -703,19 +262,17 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
             sides = 'twosided'
         else:
             sides = 'onesided'
-    elif sides not in ['onesided', 'twosided']:
-        raise ValueError("Unknown value for sides %s, must be one of: "
-                         "'default', 'onesided', or 'twosided'" % sides)
+    _api.check_in_list(['default', 'onesided', 'twosided'], sides=sides)
 
     # zero pad x and y up to NFFT if they are shorter than NFFT
     if len(x) < NFFT:
         n = len(x)
-        x = np.resize(x, (NFFT,))
+        x = np.resize(x, NFFT)
         x[n:] = 0
 
     if not same_data and len(y) < NFFT:
         n = len(y)
-        y = np.resize(y, (NFFT,))
+        y = np.resize(y, NFFT)
         y[n:] = 0
 
     if pad_to is None:
@@ -741,53 +298,70 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
             numFreqs = pad_to//2 + 1
         scaling_factor = 2.
 
-    result = stride_windows(x, NFFT, noverlap, axis=0)
+    if not np.iterable(window):
+        window = window(np.ones(NFFT, x.dtype))
+    if len(window) != NFFT:
+        raise ValueError(
+            "The window length must match the data's first dimension")
+
+    result = np.lib.stride_tricks.sliding_window_view(
+        x, NFFT, axis=0)[::NFFT - noverlap].T
     result = detrend(result, detrend_func, axis=0)
-    result, windowVals = apply_window(result, window, axis=0,
-                                      return_window=True)
+    result = result * window.reshape((-1, 1))
     result = np.fft.fft(result, n=pad_to, axis=0)[:numFreqs, :]
     freqs = np.fft.fftfreq(pad_to, 1/Fs)[:numFreqs]
 
     if not same_data:
         # if same_data is False, mode must be 'psd'
-        resultY = stride_windows(y, NFFT, noverlap)
-        resultY = apply_window(resultY, window, axis=0)
+        resultY = np.lib.stride_tricks.sliding_window_view(
+            y, NFFT, axis=0)[::NFFT - noverlap].T
         resultY = detrend(resultY, detrend_func, axis=0)
+        resultY = resultY * window.reshape((-1, 1))
         resultY = np.fft.fft(resultY, n=pad_to, axis=0)[:numFreqs, :]
-        result = np.conjugate(result) * resultY
+        result = np.conj(result) * resultY
     elif mode == 'psd':
-        result = np.conjugate(result) * result
+        result = np.conj(result) * result
     elif mode == 'magnitude':
-        result = np.absolute(result)
+        result = np.abs(result) / window.sum()
     elif mode == 'angle' or mode == 'phase':
         # we unwrap the phase later to handle the onesided vs. twosided case
         result = np.angle(result)
     elif mode == 'complex':
-        pass
+        result /= window.sum()
 
     if mode == 'psd':
-        # Scale the spectrum by the norm of the window to compensate for
-        # windowing loss; see Bendat & Piersol Sec 11.5.2.
-        result /= (np.abs(windowVals)**2).sum()
 
         # Also include scaling factors for one-sided densities and dividing by
         # the sampling frequency, if desired. Scale everything, except the DC
         # component and the NFFT/2 component:
-        result[1:-1] *= scaling_factor
+
+        # if we have a even number of frequencies, don't scale NFFT/2
+        if not NFFT % 2:
+            slc = slice(1, -1, None)
+        # if we have an odd number, just don't scale DC
+        else:
+            slc = slice(1, None, None)
+
+        result[slc] *= scaling_factor
 
         # MATLAB divides by the sampling frequency so that density function
         # has units of dB/Hz and can be integrated by the plotted frequency
         # values. Perform the same scaling here.
         if scale_by_freq:
             result /= Fs
+            # Scale the spectrum by the norm of the window to compensate for
+            # windowing loss; see Bendat & Piersol Sec 11.5.2.
+            result /= (window**2).sum()
+        else:
+            # In this case, preserve power in the segment, not amplitude
+            result /= window.sum()**2
 
     t = np.arange(NFFT/2, len(x) - NFFT/2 + 1, NFFT - noverlap)/Fs
 
     if sides == 'twosided':
         # center the frequency range at zero
-        freqs = np.concatenate((freqs[freqcenter:], freqs[:freqcenter]))
-        result = np.concatenate((result[freqcenter:, :],
-                                 result[:freqcenter, :]), 0)
+        freqs = np.roll(freqs, -freqcenter, axis=0)
+        result = np.roll(result, -freqcenter, axis=0)
     elif not pad_to % 2:
         # get the last value correctly, it is negative otherwise
         freqs[-1] *= -1
@@ -799,16 +373,13 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
     return result, freqs, t
 
 
-def _single_spectrum_helper(x, mode, Fs=None, window=None, pad_to=None,
-                            sides=None):
-    '''
-    This is a helper function that implements the commonality between the
-    complex, magnitude, angle, and phase spectrums.
-    It is *NOT* meant to be used outside of mlab and may change at any time.
-    '''
-    if mode is None or mode == 'psd' or mode == 'default':
-        raise ValueError('_single_spectrum_helper does not work with %s mode'
-                         % mode)
+def _single_spectrum_helper(
+        mode, x, Fs=None, window=None, pad_to=None, sides=None):
+    """
+    Private helper implementing the commonality between the complex, magnitude,
+    angle, and phase spectrums.
+    """
+    _api.check_in_list(['complex', 'magnitude', 'angle', 'phase'], mode=mode)
 
     if pad_to is None:
         pad_to = len(x)
@@ -822,104 +393,77 @@ def _single_spectrum_helper(x, mode, Fs=None, window=None, pad_to=None,
     if mode != 'complex':
         spec = spec.real
 
-    if len(spec.shape) == 2 and spec.shape[1] == 1:
+    if spec.ndim == 2 and spec.shape[1] == 1:
         spec = spec[:, 0]
 
     return spec, freqs
 
 
 # Split out these keyword docs so that they can be used elsewhere
-docstring.interpd.update(Spectral=cbook.dedent("""
-    Keyword arguments:
-
-      *Fs*: scalar
-          The sampling frequency (samples per time unit).  It is used
-          to calculate the Fourier frequencies, freqs, in cycles per time
-          unit. The default value is 2.
-
-      *window*: callable or ndarray
-          A function or a vector of length *NFFT*. To create window
-          vectors see :func:`window_hanning`, :func:`window_none`,
-          :func:`numpy.blackman`, :func:`numpy.hamming`,
-          :func:`numpy.bartlett`, :func:`scipy.signal`,
-          :func:`scipy.signal.get_window`, etc. The default is
-          :func:`window_hanning`.  If a function is passed as the
-          argument, it must take a data segment as an argument and
-          return the windowed version of the segment.
-
-      *sides*: [ 'default' | 'onesided' | 'twosided' ]
-          Specifies which sides of the spectrum to return.  Default gives the
-          default behavior, which returns one-sided for real data and both
-          for complex data.  'onesided' forces the return of a one-sided
-          spectrum, while 'twosided' forces two-sided.
-"""))
-
-
-docstring.interpd.update(Single_Spectrum=cbook.dedent("""
-      *pad_to*: integer
-          The number of points to which the data segment is padded when
-          performing the FFT.  While not increasing the actual resolution of
-          the spectrum (the minimum distance between resolvable peaks),
-          this can give more points in the plot, allowing for more
-          detail. This corresponds to the *n* parameter in the call to fft().
-          The default is None, which sets *pad_to* equal to the length of the
-          input signal (i.e. no padding).
-"""))
-
-
-docstring.interpd.update(PSD=cbook.dedent("""
-      *pad_to*: integer
-          The number of points to which the data segment is padded when
-          performing the FFT.  This can be different from *NFFT*, which
-          specifies the number of data points used.  While not increasing
-          the actual resolution of the spectrum (the minimum distance between
-          resolvable peaks), this can give more points in the plot,
-          allowing for more detail. This corresponds to the *n* parameter
-          in the call to fft(). The default is None, which sets *pad_to*
-          equal to *NFFT*
-
-      *NFFT*: integer
-          The number of data points used in each block for the FFT.
-          A power 2 is most efficient.  The default value is 256.
-          This should *NOT* be used to get zero padding, or the scaling of the
-          result will be incorrect. Use *pad_to* for this instead.
-
-      *detrend*: [ 'default' | 'constant' | 'mean' | 'linear' | 'none'] or
-                 callable
-
-          The function applied to each segment before fft-ing,
-          designed to remove the mean or linear trend.  Unlike in
-          MATLAB, where the *detrend* parameter is a vector, in
-          matplotlib is it a function.  The :mod:`~matplotlib.pylab`
-          module defines :func:`~matplotlib.pylab.detrend_none`,
-          :func:`~matplotlib.pylab.detrend_mean`, and
-          :func:`~matplotlib.pylab.detrend_linear`, but you can use
-          a custom function as well.  You can also use a string to choose
-          one of the functions.  'default', 'constant', and 'mean' call
-          :func:`~matplotlib.pylab.detrend_mean`.  'linear' calls
-          :func:`~matplotlib.pylab.detrend_linear`.  'none' calls
-          :func:`~matplotlib.pylab.detrend_none`.
-
-      *scale_by_freq*: boolean
-          Specifies whether the resulting density values should be scaled
-          by the scaling frequency, which gives density in units of Hz^-1.
-          This allows for integration over the returned frequency values.
-          The default is True for MATLAB compatibility.
-"""))
-
-
-@docstring.dedent_interpd
+_docstring.interpd.register(
+    Spectral="""\
+Fs : float, default: 2
+    The sampling frequency (samples per time unit).  It is used to calculate
+    the Fourier frequencies, *freqs*, in cycles per time unit.
+
+window : callable or ndarray, default: `.window_hanning`
+    A function or a vector of length *NFFT*.  To create window vectors see
+    `.window_hanning`, `.window_none`, `numpy.blackman`, `numpy.hamming`,
+    `numpy.bartlett`, `scipy.signal`, `scipy.signal.get_window`, etc.  If a
+    function is passed as the argument, it must take a data segment as an
+    argument and return the windowed version of the segment.
+
+sides : {'default', 'onesided', 'twosided'}, optional
+    Which sides of the spectrum to return. 'default' is one-sided for real
+    data and two-sided for complex data. 'onesided' forces the return of a
+    one-sided spectrum, while 'twosided' forces two-sided.""",
+
+    Single_Spectrum="""\
+pad_to : int, optional
+    The number of points to which the data segment is padded when performing
+    the FFT.  While not increasing the actual resolution of the spectrum (the
+    minimum distance between resolvable peaks), this can give more points in
+    the plot, allowing for more detail. This corresponds to the *n* parameter
+    in the call to `~numpy.fft.fft`.  The default is None, which sets *pad_to*
+    equal to the length of the input signal (i.e. no padding).""",
+
+    PSD="""\
+pad_to : int, optional
+    The number of points to which the data segment is padded when performing
+    the FFT.  This can be different from *NFFT*, which specifies the number
+    of data points used.  While not increasing the actual resolution of the
+    spectrum (the minimum distance between resolvable peaks), this can give
+    more points in the plot, allowing for more detail. This corresponds to
+    the *n* parameter in the call to `~numpy.fft.fft`. The default is None,
+    which sets *pad_to* equal to *NFFT*
+
+NFFT : int, default: 256
+    The number of data points used in each block for the FFT.  A power 2 is
+    most efficient.  This should *NOT* be used to get zero padding, or the
+    scaling of the result will be incorrect; use *pad_to* for this instead.
+
+detrend : {'none', 'mean', 'linear'} or callable, default: 'none'
+    The function applied to each segment before fft-ing, designed to remove
+    the mean or linear trend.  Unlike in MATLAB, where the *detrend* parameter
+    is a vector, in Matplotlib it is a function.  The :mod:`~matplotlib.mlab`
+    module defines `.detrend_none`, `.detrend_mean`, and `.detrend_linear`,
+    but you can use a custom function as well.  You can also use a string to
+    choose one of the functions: 'none' calls `.detrend_none`. 'mean' calls
+    `.detrend_mean`. 'linear' calls `.detrend_linear`.
+
+scale_by_freq : bool, default: True
+    Whether the resulting density values should be scaled by the scaling
+    frequency, which gives density in units of 1/Hz.  This allows for
+    integration over the returned frequency values.  The default is True for
+    MATLAB compatibility.""")
+
+
+@_docstring.interpd
 def psd(x, NFFT=None, Fs=None, detrend=None, window=None,
         noverlap=None, pad_to=None, sides=None, scale_by_freq=None):
-    """
+    r"""
     Compute the power spectral density.
 
-    Call signature::
-
-        psd(x, NFFT=256, Fs=2, detrend=mlab.detrend_none,
-            window=mlab.window_hanning, noverlap=0, pad_to=None,
-            sides='default', scale_by_freq=None)
-
     The power spectral density :math:`P_{xx}` by Welch's average
     periodogram method.  The vector *x* is divided into *NFFT* length
     segments.  Each segment is detrended by function *detrend* and
@@ -929,42 +473,40 @@ def psd(x, NFFT=None, Fs=None, detrend=None, window=None,
 
     If len(*x*) < *NFFT*, it will be zero padded to *NFFT*.
 
-      *x*: 1-D array or sequence
+    Parameters
+    ----------
+    x : 1-D array or sequence
         Array or sequence containing the data
 
     %(Spectral)s
 
     %(PSD)s
 
-        *noverlap*: integer
+    noverlap : int, default: 0 (no overlap)
         The number of points of overlap between segments.
-        The default value is 0 (no overlap).
-
-    Returns the tuple (*Pxx*, *freqs*).
 
-          *Pxx*: 1-D array
-            The values for the power spectrum `P_{xx}` (real valued)
-
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *Pxx*
-
-    Refs:
+    Returns
+    -------
+    Pxx : 1-D array
+        The values for the power spectrum :math:`P_{xx}` (real valued)
 
-        Bendat & Piersol -- Random Data: Analysis and Measurement
-        Procedures, John Wiley & Sons (1986)
+    freqs : 1-D array
+        The frequencies corresponding to the elements in *Pxx*
 
-    .. seealso::
+    References
+    ----------
+    Bendat & Piersol -- Random Data: Analysis and Measurement Procedures, John
+    Wiley & Sons (1986)
 
-        :func:`specgram`
-            :func:`specgram` differs in the default overlap; in not returning
-            the mean of the segment periodograms; and in returning the
-            times of the segments.
+    See Also
+    --------
+    specgram
+        `specgram` differs in the default overlap; in not returning the mean of
+        the segment periodograms; and in returning the times of the segments.
 
-        :func:`magnitude_spectrum`
-            :func:`magnitude_spectrum` returns the magnitude spectrum.
+    magnitude_spectrum : returns the magnitude spectrum.
 
-        :func:`csd`
-            :func:`csd` returns the spectral density between two signals.
+    csd : returns the spectral density between two signals.
     """
     Pxx, freqs = csd(x=x, y=None, NFFT=NFFT, Fs=Fs, detrend=detrend,
                      window=window, noverlap=noverlap, pad_to=pad_to,
@@ -972,18 +514,12 @@ def psd(x, NFFT=None, Fs=None, detrend=None, window=None,
     return Pxx.real, freqs
 
 
-@docstring.dedent_interpd
+@_docstring.interpd
 def csd(x, y, NFFT=None, Fs=None, detrend=None, window=None,
         noverlap=None, pad_to=None, sides=None, scale_by_freq=None):
     """
     Compute the cross-spectral density.
 
-    Call signature::
-
-        csd(x, y, NFFT=256, Fs=2, detrend=mlab.detrend_none,
-            window=mlab.window_hanning, noverlap=0, pad_to=None,
-            sides='default', scale_by_freq=None)
-
     The cross spectral density :math:`P_{xy}` by Welch's average
     periodogram method.  The vectors *x* and *y* are divided into
     *NFFT* length segments.  Each segment is detrended by function
@@ -996,34 +532,35 @@ def csd(x, y, NFFT=None, Fs=None, detrend=None, window=None,
     If len(*x*) < *NFFT* or len(*y*) < *NFFT*, they will be zero
     padded to *NFFT*.
 
-      *x*, *y*: 1-D arrays or sequences
+    Parameters
+    ----------
+    x, y : 1-D arrays or sequences
         Arrays or sequences containing the data
 
     %(Spectral)s
 
     %(PSD)s
 
-      *noverlap*: integer
-          The number of points of overlap between segments.
-          The default value is 0 (no overlap).
-
-    Returns the tuple (*Pxy*, *freqs*):
-
-          *Pxy*: 1-D array
-            The values for the cross spectrum `P_{xy}` before scaling
-            (real valued)
+    noverlap : int, default: 0 (no overlap)
+        The number of points of overlap between segments.
 
-          *freqs*: 1-D array
-            The frequencies corresponding to the elements in *Pxy*
+    Returns
+    -------
+    Pxy : 1-D array
+        The values for the cross spectrum :math:`P_{xy}` before scaling (real
+        valued)
 
-    Refs:
-        Bendat & Piersol -- Random Data: Analysis and Measurement
-        Procedures, John Wiley & Sons (1986)
+    freqs : 1-D array
+        The frequencies corresponding to the elements in *Pxy*
 
-    .. seealso::
+    References
+    ----------
+    Bendat & Piersol -- Random Data: Analysis and Measurement Procedures, John
+    Wiley & Sons (1986)
 
-        :func:`psd`
-            :func:`psd` is the equivalent to setting y=x.
+    See Also
+    --------
+    psd : equivalent to setting ``y = x``.
     """
     if NFFT is None:
         NFFT = 256
@@ -1033,7 +570,7 @@ def csd(x, y, NFFT=None, Fs=None, detrend=None, window=None,
                                      sides=sides, scale_by_freq=scale_by_freq,
                                      mode='psd')
 
-    if len(Pxy.shape) == 2:
+    if Pxy.ndim == 2:
         if Pxy.shape[1] > 1:
             Pxy = Pxy.mean(axis=1)
         else:
@@ -1041,2779 +578,233 @@ def csd(x, y, NFFT=None, Fs=None, detrend=None, window=None,
     return Pxy, freqs
 
 
-@docstring.dedent_interpd
-def complex_spectrum(x, Fs=None, window=None, pad_to=None,
-                     sides=None):
-    """
-    Compute the complex-valued frequency spectrum of *x*.  Data is padded to a
-    length of *pad_to* and the windowing function *window* is applied to the
-    signal.
+_single_spectrum_docs = """\
+Compute the {quantity} of *x*.
+Data is padded to a length of *pad_to* and the windowing function *window* is
+applied to the signal.
+
+Parameters
+----------
+x : 1-D array or sequence
+    Array or sequence containing the data
+
+{Spectral}
+
+{Single_Spectrum}
+
+Returns
+-------
+spectrum : 1-D array
+    The {quantity}.
+freqs : 1-D array
+    The frequencies corresponding to the elements in *spectrum*.
+
+See Also
+--------
+psd
+    Returns the power spectral density.
+complex_spectrum
+    Returns the complex-valued frequency spectrum.
+magnitude_spectrum
+    Returns the absolute value of the `complex_spectrum`.
+angle_spectrum
+    Returns the angle of the `complex_spectrum`.
+phase_spectrum
+    Returns the phase (unwrapped angle) of the `complex_spectrum`.
+specgram
+    Can return the complex spectrum of segments within the signal.
+"""
 
-      *x*: 1-D array or sequence
-        Array or sequence containing the data
 
-    %(Spectral)s
+complex_spectrum = functools.partial(_single_spectrum_helper, "complex")
+complex_spectrum.__doc__ = _single_spectrum_docs.format(
+    quantity="complex-valued frequency spectrum",
+    **_docstring.interpd.params)
+magnitude_spectrum = functools.partial(_single_spectrum_helper, "magnitude")
+magnitude_spectrum.__doc__ = _single_spectrum_docs.format(
+    quantity="magnitude (absolute value) of the frequency spectrum",
+    **_docstring.interpd.params)
+angle_spectrum = functools.partial(_single_spectrum_helper, "angle")
+angle_spectrum.__doc__ = _single_spectrum_docs.format(
+    quantity="angle of the frequency spectrum (wrapped phase spectrum)",
+    **_docstring.interpd.params)
+phase_spectrum = functools.partial(_single_spectrum_helper, "phase")
+phase_spectrum.__doc__ = _single_spectrum_docs.format(
+    quantity="phase of the frequency spectrum (unwrapped phase spectrum)",
+    **_docstring.interpd.params)
+
+
+@_docstring.interpd
+def specgram(x, NFFT=None, Fs=None, detrend=None, window=None,
+             noverlap=None, pad_to=None, sides=None, scale_by_freq=None,
+             mode=None):
+    """
+    Compute a spectrogram.
 
-    %(Single_Spectrum)s
+    Compute and plot a spectrogram of data in *x*.  Data are split into
+    *NFFT* length segments and the spectrum of each section is
+    computed.  The windowing function *window* is applied to each
+    segment, and the amount of overlap of each segment is
+    specified with *noverlap*.
 
-    Returns the tuple (*spectrum*, *freqs*):
+    Parameters
+    ----------
+    x : array-like
+        1-D array or sequence.
 
-      *spectrum*: 1-D array
-        The values for the complex spectrum (complex valued)
+    %(Spectral)s
 
-      *freqs*: 1-D array
-        The frequencies corresponding to the elements in *spectrum*
+    %(PSD)s
 
-    .. seealso::
+    noverlap : int, default: 128
+        The number of points of overlap between blocks.
+    mode : str, default: 'psd'
+        What sort of spectrum to use:
+            'psd'
+                Returns the power spectral density.
+            'complex'
+                Returns the complex-valued frequency spectrum.
+            'magnitude'
+                Returns the magnitude spectrum.
+            'angle'
+                Returns the phase spectrum without unwrapping.
+            'phase'
+                Returns the phase spectrum with unwrapping.
 
-        :func:`magnitude_spectrum`
-            :func:`magnitude_spectrum` returns the absolute value of this
-            function.
+    Returns
+    -------
+    spectrum : array-like
+        2D array, columns are the periodograms of successive segments.
 
-        :func:`angle_spectrum`
-            :func:`angle_spectrum` returns the angle of this
-            function.
+    freqs : array-like
+        1-D array, frequencies corresponding to the rows in *spectrum*.
 
-        :func:`phase_spectrum`
-            :func:`phase_spectrum` returns the phase (unwrapped angle) of this
-            function.
+    t : array-like
+        1-D array, the times corresponding to midpoints of segments
+        (i.e the columns in *spectrum*).
 
-        :func:`specgram`
-            :func:`specgram` can return the complex spectrum of segments
-            within the signal.
-    """
-    return _single_spectrum_helper(x=x, Fs=Fs, window=window, pad_to=pad_to,
-                                   sides=sides, mode='complex')
+    See Also
+    --------
+    psd : differs in the overlap and in the return values.
+    complex_spectrum : similar, but with complex valued frequencies.
+    magnitude_spectrum : similar single segment when *mode* is 'magnitude'.
+    angle_spectrum : similar to single segment when *mode* is 'angle'.
+    phase_spectrum : similar to single segment when *mode* is 'phase'.
 
+    Notes
+    -----
+    *detrend* and *scale_by_freq* only apply when *mode* is set to 'psd'.
 
-@docstring.dedent_interpd
-def magnitude_spectrum(x, Fs=None, window=None, pad_to=None,
-                       sides=None):
     """
-    Compute the magnitude (absolute value) of the frequency spectrum of
-    *x*.  Data is padded to a length of *pad_to* and the windowing function
-    *window* is applied to the signal.
+    if noverlap is None:
+        noverlap = 128  # default in _spectral_helper() is noverlap = 0
+    if NFFT is None:
+        NFFT = 256  # same default as in _spectral_helper()
+    if len(x) <= NFFT:
+        _api.warn_external("Only one segment is calculated since parameter "
+                           f"NFFT (={NFFT}) >= signal length (={len(x)}).")
 
-      *x*: 1-D array or sequence
-        Array or sequence containing the data
+    spec, freqs, t = _spectral_helper(x=x, y=None, NFFT=NFFT, Fs=Fs,
+                                      detrend_func=detrend, window=window,
+                                      noverlap=noverlap, pad_to=pad_to,
+                                      sides=sides,
+                                      scale_by_freq=scale_by_freq,
+                                      mode=mode)
 
-    %(Spectral)s
-
-    %(Single_Spectrum)s
-
-    Returns the tuple (*spectrum*, *freqs*):
-
-      *spectrum*: 1-D array
-        The values for the magnitude spectrum (real valued)
-
-      *freqs*: 1-D array
-        The frequencies corresponding to the elements in *spectrum*
-
-    .. seealso::
-
-        :func:`psd`
-            :func:`psd` returns the power spectral density.
-
-        :func:`complex_spectrum`
-            This function returns the absolute value of
-            :func:`complex_spectrum`.
-
-        :func:`angle_spectrum`
-            :func:`angle_spectrum` returns the angles of the corresponding
-            frequencies.
-
-        :func:`phase_spectrum`
-            :func:`phase_spectrum` returns the phase (unwrapped angle) of the
-            corresponding frequencies.
-
-        :func:`specgram`
-            :func:`specgram` can return the magnitude spectrum of segments
-            within the signal.
-    """
-    return _single_spectrum_helper(x=x, Fs=Fs, window=window, pad_to=pad_to,
-                                   sides=sides, mode='magnitude')
-
-
-@docstring.dedent_interpd
-def angle_spectrum(x, Fs=None, window=None, pad_to=None,
-                   sides=None):
-    """
-    Compute the angle of the frequency spectrum (wrapped phase spectrum) of
-    *x*.  Data is padded to a length of *pad_to* and the windowing function
-    *window* is applied to the signal.
-
-      *x*: 1-D array or sequence
-        Array or sequence containing the data
-
-    %(Spectral)s
-
-    %(Single_Spectrum)s
-
-    Returns the tuple (*spectrum*, *freqs*):
-
-      *spectrum*: 1-D array
-        The values for the angle spectrum in radians (real valued)
-
-      *freqs*: 1-D array
-        The frequencies corresponding to the elements in *spectrum*
-
-    .. seealso::
-
-        :func:`complex_spectrum`
-            This function returns the angle value of
-            :func:`complex_spectrum`.
-
-        :func:`magnitude_spectrum`
-            :func:`angle_spectrum` returns the magnitudes of the
-            corresponding frequencies.
-
-        :func:`phase_spectrum`
-            :func:`phase_spectrum` returns the unwrapped version of this
-            function.
-
-        :func:`specgram`
-            :func:`specgram` can return the angle spectrum of segments
-            within the signal.
-    """
-    return _single_spectrum_helper(x=x, Fs=Fs, window=window, pad_to=pad_to,
-                                   sides=sides, mode='angle')
-
-
-@docstring.dedent_interpd
-def phase_spectrum(x, Fs=None, window=None, pad_to=None,
-                   sides=None):
-    """
-    Compute the phase of the frequency spectrum (unwrapped angle spectrum) of
-    *x*.  Data is padded to a length of *pad_to* and the windowing function
-    *window* is applied to the signal.
-
-      *x*: 1-D array or sequence
-        Array or sequence containing the data
-
-    %(Spectral)s
-
-    %(Single_Spectrum)s
-
-    Returns the tuple (*spectrum*, *freqs*):
-
-      *spectrum*: 1-D array
-        The values for the phase spectrum in radians (real valued)
-
-      *freqs*: 1-D array
-        The frequencies corresponding to the elements in *spectrum*
-
-    .. seealso::
-
-        :func:`complex_spectrum`
-            This function returns the angle value of
-            :func:`complex_spectrum`.
-
-        :func:`magnitude_spectrum`
-            :func:`magnitude_spectrum` returns the magnitudes of the
-            corresponding frequencies.
-
-        :func:`angle_spectrum`
-            :func:`angle_spectrum` returns the wrapped version of this
-            function.
-
-        :func:`specgram`
-            :func:`specgram` can return the phase spectrum of segments
-            within the signal.
-    """
-    return _single_spectrum_helper(x=x, Fs=Fs, window=window, pad_to=pad_to,
-                                   sides=sides, mode='phase')
-
-
-@docstring.dedent_interpd
-def specgram(x, NFFT=None, Fs=None, detrend=None, window=None,
-             noverlap=None, pad_to=None, sides=None, scale_by_freq=None,
-             mode=None):
-    """
-    Compute a spectrogram.
-
-    Call signature::
-
-        specgram(x, NFFT=256, Fs=2,detrend=mlab.detrend_none,
-                window=mlab.window_hanning, noverlap=128,
-                cmap=None, xextent=None, pad_to=None, sides='default',
-                scale_by_freq=None, mode='default')
-
-    Compute and plot a spectrogram of data in *x*.  Data are split into
-    *NFFT* length segments and the spectrum of each section is
-    computed.  The windowing function *window* is applied to each
-    segment, and the amount of overlap of each segment is
-    specified with *noverlap*.
-
-      *x*: 1-D array or sequence
-        Array or sequence containing the data
-
-    %(Spectral)s
-
-    %(PSD)s
-
-      *mode*: [ 'default' | 'psd' | 'complex' | 'magnitude'
-                'angle' | 'phase' ]
-
-          What sort of spectrum to use.  Default is 'psd'. which takes the
-          power spectral density.  'complex' returns the complex-valued
-          frequency spectrum.  'magnitude' returns the magnitude spectrum.
-          'angle' returns the phase spectrum without unwrapping.  'phase'
-          returns the phase spectrum with unwrapping.
-
-      *noverlap*: integer
-          The number of points of overlap between blocks.  The default value
-          is 128.
-
-    Returns the tuple (*spectrum*, *freqs*, *t*):
-
-      *spectrum*: 2-D array
-        columns are the periodograms of successive segments
-
-      *freqs*: 1-D array
-        The frequencies corresponding to the rows in *spectrum*
-
-      *t*: 1-D array
-        The times corresponding to midpoints of segments (i.e the columns
-        in *spectrum*).
-
-    .. note::
-
-        *detrend* and *scale_by_freq* only apply when *mode* is set to
-        'psd'
-
-    .. seealso::
-
-        :func:`psd`
-            :func:`psd` differs in the default overlap; in returning
-            the mean of the segment periodograms; and in not returning
-            times.
-
-        :func:`complex_spectrum`
-            A single spectrum, similar to having a single segment when
-            *mode* is 'complex'.
-
-        :func:`magnitude_spectrum`
-            A single spectrum, similar to having a single segment when
-            *mode* is 'magnitude'.
-
-        :func:`angle_spectrum`
-            A single spectrum, similar to having a single segment when
-            *mode* is 'angle'.
-
-        :func:`phase_spectrum`
-            A single spectrum, similar to having a single segment when
-            *mode* is 'phase'.
-    """
-    if noverlap is None:
-        noverlap = 128
-
-    spec, freqs, t = _spectral_helper(x=x, y=None, NFFT=NFFT, Fs=Fs,
-                                      detrend_func=detrend, window=window,
-                                      noverlap=noverlap, pad_to=pad_to,
-                                      sides=sides,
-                                      scale_by_freq=scale_by_freq,
-                                      mode=mode)
-
-    if mode != 'complex':
-        spec = spec.real  # Needed since helper implements generically
-
-    return spec, freqs, t
-
-
-_coh_error = """Coherence is calculated by averaging over *NFFT*
-length segments.  Your signal is too short for your choice of *NFFT*.
-"""
-
-
-@docstring.dedent_interpd
-def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
-           noverlap=0, pad_to=None, sides='default', scale_by_freq=None):
-    """
-    The coherence between *x* and *y*.  Coherence is the normalized
-    cross spectral density:
-
-    .. math::
-
-        C_{xy} = \\frac{|P_{xy}|^2}{P_{xx}P_{yy}}
-
-    *x*, *y*
-        Array or sequence containing the data
-
-    %(Spectral)s
-
-    %(PSD)s
-
-      *noverlap*: integer
-          The number of points of overlap between blocks.  The default value
-          is 0 (no overlap).
-
-    The return value is the tuple (*Cxy*, *f*), where *f* are the
-    frequencies of the coherence vector. For cohere, scaling the
-    individual densities by the sampling frequency has no effect,
-    since the factors cancel out.
-
-    .. seealso::
-
-        :func:`psd` and :func:`csd`
-            For information about the methods used to compute
-            :math:`P_{xy}`, :math:`P_{xx}` and :math:`P_{yy}`.
-    """
-
-    if len(x) < 2 * NFFT:
-        raise ValueError(_coh_error)
-    Pxx, f = psd(x, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
-                 scale_by_freq)
-    Pyy, f = psd(y, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
-                 scale_by_freq)
-    Pxy, f = csd(x, y, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
-                 scale_by_freq)
-
-    Cxy = np.divide(np.absolute(Pxy)**2, Pxx*Pyy)
-    Cxy.shape = (len(f),)
-    return Cxy, f
-
-
-def donothing_callback(*args):
-    pass
-
-
-def cohere_pairs(X, ij, NFFT=256, Fs=2, detrend=detrend_none,
-                 window=window_hanning, noverlap=0,
-                 preferSpeedOverMemory=True,
-                 progressCallback=donothing_callback,
-                 returnPxx=False):
-
-    """
-    Call signature::
-
-      Cxy, Phase, freqs = cohere_pairs( X, ij, ...)
-
-    Compute the coherence and phase for all pairs *ij*, in *X*.
-
-    *X* is a *numSamples* * *numCols* array
-
-    *ij* is a list of tuples.  Each tuple is a pair of indexes into
-    the columns of X for which you want to compute coherence.  For
-    example, if *X* has 64 columns, and you want to compute all
-    nonredundant pairs, define *ij* as::
-
-      ij = []
-      for i in range(64):
-          for j in range(i+1,64):
-              ij.append( (i,j) )
-
-    *preferSpeedOverMemory* is an optional bool. Defaults to true. If
-    False, limits the caching by only making one, rather than two,
-    complex cache arrays. This is useful if memory becomes critical.
-    Even when *preferSpeedOverMemory* is False, :func:`cohere_pairs`
-    will still give significant performace gains over calling
-    :func:`cohere` for each pair, and will use subtantially less
-    memory than if *preferSpeedOverMemory* is True.  In my tests with
-    a 43000,64 array over all nonredundant pairs,
-    *preferSpeedOverMemory* = True delivered a 33% performance boost
-    on a 1.7GHZ Athlon with 512MB RAM compared with
-    *preferSpeedOverMemory* = False.  But both solutions were more
-    than 10x faster than naively crunching all possible pairs through
-    :func:`cohere`.
-
-    Returns::
-
-       (Cxy, Phase, freqs)
-
-    where:
-
-      - *Cxy*: dictionary of (*i*, *j*) tuples -> coherence vector for
-        that pair.  i.e., ``Cxy[(i,j) = cohere(X[:,i], X[:,j])``.
-        Number of dictionary keys is ``len(ij)``.
-
-      - *Phase*: dictionary of phases of the cross spectral density at
-        each frequency for each pair.  Keys are (*i*, *j*).
-
-      - *freqs*: vector of frequencies, equal in length to either the
-         coherence or phase vectors for any (*i*, *j*) key.
-
-    e.g., to make a coherence Bode plot::
-
-          subplot(211)
-          plot( freqs, Cxy[(12,19)])
-          subplot(212)
-          plot( freqs, Phase[(12,19)])
-
-    For a large number of pairs, :func:`cohere_pairs` can be much more
-    efficient than just calling :func:`cohere` for each pair, because
-    it caches most of the intensive computations.  If :math:`N` is the
-    number of pairs, this function is :math:`O(N)` for most of the
-    heavy lifting, whereas calling cohere for each pair is
-    :math:`O(N^2)`.  However, because of the caching, it is also more
-    memory intensive, making 2 additional complex arrays with
-    approximately the same number of elements as *X*.
-
-    See :file:`test/cohere_pairs_test.py` in the src tree for an
-    example script that shows that this :func:`cohere_pairs` and
-    :func:`cohere` give the same results for a given pair.
-
-    .. seealso::
-
-        :func:`psd`
-            For information about the methods used to compute
-            :math:`P_{xy}`, :math:`P_{xx}` and :math:`P_{yy}`.
-    """
-    numRows, numCols = X.shape
-
-    # zero pad if X is too short
-    if numRows < NFFT:
-        tmp = X
-        X = np.zeros((NFFT, numCols), X.dtype)
-        X[:numRows, :] = tmp
-        del tmp
-
-    numRows, numCols = X.shape
-    # get all the columns of X that we are interested in by checking
-    # the ij tuples
-    allColumns = set()
-    for i, j in ij:
-        allColumns.add(i)
-        allColumns.add(j)
-    Ncols = len(allColumns)
-
-    # for real X, ignore the negative frequencies
-    if np.iscomplexobj(X):
-        numFreqs = NFFT
-    else:
-        numFreqs = NFFT//2+1
-
-    # cache the FFT of every windowed, detrended NFFT length segement
-    # of every channel.  If preferSpeedOverMemory, cache the conjugate
-    # as well
-    if cbook.iterable(window):
-        assert(len(window) == NFFT)
-        windowVals = window
-    else:
-        windowVals = window(np.ones(NFFT, X.dtype))
-    ind = list(xrange(0, numRows-NFFT+1, NFFT-noverlap))
-    numSlices = len(ind)
-    FFTSlices = {}
-    FFTConjSlices = {}
-    Pxx = {}
-    slices = range(numSlices)
-    normVal = np.linalg.norm(windowVals)**2
-    for iCol in allColumns:
-        progressCallback(i/Ncols, 'Cacheing FFTs')
-        Slices = np.zeros((numSlices, numFreqs), dtype=np.complex_)
-        for iSlice in slices:
-            thisSlice = X[ind[iSlice]:ind[iSlice]+NFFT, iCol]
-            thisSlice = windowVals*detrend(thisSlice)
-            Slices[iSlice, :] = np.fft.fft(thisSlice)[:numFreqs]
-
-        FFTSlices[iCol] = Slices
-        if preferSpeedOverMemory:
-            FFTConjSlices[iCol] = np.conjugate(Slices)
-        Pxx[iCol] = np.divide(np.mean(abs(Slices)**2, axis=0), normVal)
-    del Slices, ind, windowVals
-
-    # compute the coherences and phases for all pairs using the
-    # cached FFTs
-    Cxy = {}
-    Phase = {}
-    count = 0
-    N = len(ij)
-    for i, j in ij:
-        count += 1
-        if count % 10 == 0:
-            progressCallback(count/N, 'Computing coherences')
-
-        if preferSpeedOverMemory:
-            Pxy = FFTSlices[i] * FFTConjSlices[j]
-        else:
-            Pxy = FFTSlices[i] * np.conjugate(FFTSlices[j])
-        if numSlices > 1:
-            Pxy = np.mean(Pxy, axis=0)
-#       Pxy = np.divide(Pxy, normVal)
-        Pxy /= normVal
-#       Cxy[(i,j)] = np.divide(np.absolute(Pxy)**2, Pxx[i]*Pxx[j])
-        Cxy[i, j] = abs(Pxy)**2 / (Pxx[i]*Pxx[j])
-        Phase[i, j] = np.arctan2(Pxy.imag, Pxy.real)
-
-    freqs = Fs/NFFT*np.arange(numFreqs)
-    if returnPxx:
-        return Cxy, Phase, freqs, Pxx
-    else:
-        return Cxy, Phase, freqs
-
-
-def entropy(y, bins):
-    r"""
-    Return the entropy of the data in *y* in units of nat.
-
-    .. math::
-
-      -\sum p_i \ln(p_i)
-
-    where :math:`p_i` is the probability of observing *y* in the
-    :math:`i^{th}` bin of *bins*.  *bins* can be a number of bins or a
-    range of bins; see :func:`numpy.histogram`.
-
-    Compare *S* with analytic calculation for a Gaussian::
-
-      x = mu + sigma * randn(200000)
-      Sanalytic = 0.5 * ( 1.0 + log(2*pi*sigma**2.0) )
-    """
-    n, bins = np.histogram(y, bins)
-    n = n.astype(np.float_)
-
-    n = np.take(n, np.nonzero(n)[0])         # get the positive
-
-    p = np.divide(n, len(y))
-
-    delta = bins[1] - bins[0]
-    S = -1.0 * np.sum(p * np.log(p)) + np.log(delta)
-    return S
-
-
-def normpdf(x, *args):
-    "Return the normal pdf evaluated at *x*; args provides *mu*, *sigma*"
-    mu, sigma = args
-    return 1./(np.sqrt(2*np.pi)*sigma)*np.exp(-0.5 * (1./sigma*(x - mu))**2)
-
-
-def find(condition):
-    "Return the indices where ravel(condition) is true"
-    res, = np.nonzero(np.ravel(condition))
-    return res
-
-
-def longest_contiguous_ones(x):
-    """
-    Return the indices of the longest stretch of contiguous ones in *x*,
-    assuming *x* is a vector of zeros and ones.  If there are two
-    equally long stretches, pick the first.
-    """
-    x = np.ravel(x)
-    if len(x) == 0:
-        return np.array([])
-
-    ind = (x == 0).nonzero()[0]
-    if len(ind) == 0:
-        return np.arange(len(x))
-    if len(ind) == len(x):
-        return np.array([])
-
-    y = np.zeros((len(x)+2,), x.dtype)
-    y[1:-1] = x
-    dif = np.diff(y)
-    up = (dif == 1).nonzero()[0]
-    dn = (dif == -1).nonzero()[0]
-    i = (dn-up == max(dn - up)).nonzero()[0][0]
-    ind = np.arange(up[i], dn[i])
-
-    return ind
-
-
-def longest_ones(x):
-    '''alias for longest_contiguous_ones'''
-    return longest_contiguous_ones(x)
-
-
-def prepca(P, frac=0):
-    """
-
-    .. warning::
-
-        This function is deprecated -- please see class PCA instead
-
-    Compute the principal components of *P*.  *P* is a (*numVars*,
-    *numObs*) array.  *frac* is the minimum fraction of variance that a
-    component must contain to be included.
-
-    Return value is a tuple of the form (*Pcomponents*, *Trans*,
-    *fracVar*) where:
-
-      - *Pcomponents* : a (numVars, numObs) array
-
-      - *Trans* : the weights matrix, i.e., *Pcomponents* = *Trans* *
-         *P*
-
-      - *fracVar* : the fraction of the variance accounted for by each
-         component returned
-
-    A similar function of the same name was in the MATLAB
-    R13 Neural Network Toolbox but is not found in later versions;
-    its successor seems to be called "processpcs".
-    """
-    warnings.warn('This function is deprecated -- see class PCA instead')
-    U, s, v = np.linalg.svd(P)
-    varEach = s**2/P.shape[1]
-    totVar = varEach.sum()
-    fracVar = varEach/totVar
-    ind = slice((fracVar >= frac).sum())
-    # select the components that are greater
-    Trans = U[:, ind].transpose()
-    # The transformed data
-    Pcomponents = np.dot(Trans, P)
-    return Pcomponents, Trans, fracVar[ind]
-
-
-class PCA(object):
-    def __init__(self, a, standardize=True):
-        """
-        compute the SVD of a and store data for PCA.  Use project to
-        project the data onto a reduced set of dimensions
-
-        Inputs:
-
-          *a*: a numobservations x numdims array
-          *standardize*: True if input data are to be standardized. If False,
-          only centering will be carried out.
-
-        Attrs:
-
-          *a* a centered unit sigma version of input a
-
-          *numrows*, *numcols*: the dimensions of a
-
-          *mu*: a numdims array of means of a. This is the vector that points
-          to the origin of PCA space.
-
-          *sigma*: a numdims array of standard deviation of a
-
-          *fracs*: the proportion of variance of each of the principal
-          components
-
-          *s*: the actual eigenvalues of the decomposition
-
-          *Wt*: the weight vector for projecting a numdims point or array into
-          PCA space
-
-          *Y*: a projected into PCA space
-
-
-        The factor loadings are in the Wt factor, i.e., the factor
-        loadings for the 1st principal component are given by Wt[0].
-        This row is also the 1st eigenvector.
-
-        """
-        n, m = a.shape
-        if n < m:
-            raise RuntimeError('we assume data in a is organized with '
-                               'numrows>numcols')
-
-        self.numrows, self.numcols = n, m
-        self.mu = a.mean(axis=0)
-        self.sigma = a.std(axis=0)
-        self.standardize = standardize
-
-        a = self.center(a)
-
-        self.a = a
-
-        U, s, Vh = np.linalg.svd(a, full_matrices=False)
-
-        # Note: .H indicates the conjugate transposed / Hermitian.
-
-        # The SVD is commonly written as a = U s V.H.
-        # If U is a unitary matrix, it means that it satisfies U.H = inv(U).
-
-        # The rows of Vh are the eigenvectors of a.H a.
-        # The columns of U are the eigenvectors of a a.H.
-        # For row i in Vh and column i in U, the corresponding eigenvalue is
-        # s[i]**2.
-
-        self.Wt = Vh
-
-        # save the transposed coordinates
-        Y = np.dot(Vh, a.T).T
-        self.Y = Y
-
-        # save the eigenvalues
-        self.s = s**2
-
-        # and now the contribution of the individual components
-        vars = self.s/float(len(s))
-        self.fracs = vars/vars.sum()
-
-    def project(self, x, minfrac=0.):
-        '''
-        project x onto the principle axes, dropping any axes where fraction
-        of variance<minfrac
-        '''
-        x = np.asarray(x)
-
-        ndims = len(x.shape)
-
-        if (x.shape[-1] != self.numcols):
-            raise ValueError('Expected an array with dims[-1]==%d' %
-                             self.numcols)
-
-        Y = np.dot(self.Wt, self.center(x).T).T
-        mask = self.fracs >= minfrac
-        if ndims == 2:
-            Yreduced = Y[:, mask]
-        else:
-            Yreduced = Y[mask]
-        return Yreduced
-
-    def center(self, x):
-        '''
-        center and optionally standardize the data using the mean and sigma
-        from training set a
-        '''
-        if self.standardize:
-            return (x - self.mu)/self.sigma
-        else:
-            return (x - self.mu)
-
-    @staticmethod
-    def _get_colinear():
-        c0 = np.array([
-            0.19294738,  0.6202667,   0.45962655,  0.07608613,  0.135818,
-            0.83580842,  0.07218851,  0.48318321,  0.84472463,  0.18348462,
-            0.81585306,  0.96923926,  0.12835919,  0.35075355,  0.15807861,
-            0.837437,    0.10824303,  0.1723387,   0.43926494,  0.83705486])
-
-        c1 = np.array([
-            -1.17705601, -0.513883,   -0.26614584,  0.88067144,  1.00474954,
-            -1.1616545,   0.0266109,   0.38227157,  1.80489433,  0.21472396,
-            -1.41920399, -2.08158544, -0.10559009,  1.68999268,  0.34847107,
-            -0.4685737,   1.23980423, -0.14638744, -0.35907697,  0.22442616])
-
-        c2 = c0 + 2*c1
-        c3 = -3*c0 + 4*c1
-        a = np.array([c3, c0, c1, c2]).T
-        return a
-
-
-def prctile(x, p=(0.0, 25.0, 50.0, 75.0, 100.0)):
-    """
-    Return the percentiles of *x*.  *p* can either be a sequence of
-    percentile values or a scalar.  If *p* is a sequence, the ith
-    element of the return sequence is the *p*(i)-th percentile of *x*.
-    If *p* is a scalar, the largest value of *x* less than or equal to
-    the *p* percentage point in the sequence is returned.
-    """
-
-    # This implementation derived from scipy.stats.scoreatpercentile
-    def _interpolate(a, b, fraction):
-        """Returns the point at the given fraction between a and b, where
-        'fraction' must be between 0 and 1.
-        """
-        return a + (b - a)*fraction
-
-    scalar = True
-    if cbook.iterable(p):
-        scalar = False
-    per = np.array(p)
-    values = np.array(x).ravel()  # copy
-    values.sort()
-
-    idxs = per/100. * (values.shape[0] - 1)
-    ai = idxs.astype(np.int)
-    bi = ai + 1
-    frac = idxs % 1
-
-    # handle cases where attempting to interpolate past last index
-    cond = bi >= len(values)
-    if scalar:
-        if cond:
-            ai -= 1
-            bi -= 1
-            frac += 1
-    else:
-        ai[cond] -= 1
-        bi[cond] -= 1
-        frac[cond] += 1
-
-    return _interpolate(values[ai], values[bi], frac)
-
-
-def prctile_rank(x, p):
-    """
-    Return the rank for each element in *x*, return the rank
-    0..len(*p*).  e.g., if *p* = (25, 50, 75), the return value will be a
-    len(*x*) array with values in [0,1,2,3] where 0 indicates the
-    value is less than the 25th percentile, 1 indicates the value is
-    >= the 25th and < 50th percentile, ... and 3 indicates the value
-    is above the 75th percentile cutoff.
-
-    *p* is either an array of percentiles in [0..100] or a scalar which
-    indicates how many quantiles of data you want ranked.
-    """
-
-    if not cbook.iterable(p):
-        p = np.arange(100.0/p, 100.0, 100.0/p)
-    else:
-        p = np.asarray(p)
-
-    if p.max() <= 1 or p.min() < 0 or p.max() > 100:
-        raise ValueError('percentiles should be in range 0..100, not 0..1')
-
-    ptiles = prctile(x, p)
-    return np.searchsorted(ptiles, x)
-
-
-def center_matrix(M, dim=0):
-    """
-    Return the matrix *M* with each row having zero mean and unit std.
-
-    If *dim* = 1 operate on columns instead of rows.  (*dim* is
-    opposite to the numpy axis kwarg.)
-    """
-    M = np.asarray(M, np.float_)
-    if dim:
-        M = (M - M.mean(axis=0)) / M.std(axis=0)
-    else:
-        M = (M - M.mean(axis=1)[:, np.newaxis])
-        M = M / M.std(axis=1)[:, np.newaxis]
-    return M
-
-
-def rk4(derivs, y0, t):
-    """
-    Integrate 1D or ND system of ODEs using 4-th order Runge-Kutta.
-    This is a toy implementation which may be useful if you find
-    yourself stranded on a system w/o scipy.  Otherwise use
-    :func:`scipy.integrate`.
-
-    *y0*
-        initial state vector
-
-    *t*
-        sample times
-
-    *derivs*
-        returns the derivative of the system and has the
-        signature ``dy = derivs(yi, ti)``
-
-
-    Example 1 ::
-
-        ## 2D system
-
-        def derivs6(x,t):
-            d1 =  x[0] + 2*x[1]
-            d2 =  -3*x[0] + 4*x[1]
-            return (d1, d2)
-        dt = 0.0005
-        t = arange(0.0, 2.0, dt)
-        y0 = (1,2)
-        yout = rk4(derivs6, y0, t)
-
-    Example 2::
-
-        ## 1D system
-        alpha = 2
-        def derivs(x,t):
-            return -alpha*x + exp(-t)
-
-        y0 = 1
-        yout = rk4(derivs, y0, t)
-
-
-    If you have access to scipy, you should probably be using the
-    scipy.integrate tools rather than this function.
-    """
-
-    try:
-        Ny = len(y0)
-    except TypeError:
-        yout = np.zeros((len(t),), np.float_)
-    else:
-        yout = np.zeros((len(t), Ny), np.float_)
-
-    yout[0] = y0
-    i = 0
-
-    for i in np.arange(len(t)-1):
-
-        thist = t[i]
-        dt = t[i+1] - thist
-        dt2 = dt/2.0
-        y0 = yout[i]
-
-        k1 = np.asarray(derivs(y0, thist))
-        k2 = np.asarray(derivs(y0 + dt2*k1, thist+dt2))
-        k3 = np.asarray(derivs(y0 + dt2*k2, thist+dt2))
-        k4 = np.asarray(derivs(y0 + dt*k3, thist+dt))
-        yout[i+1] = y0 + dt/6.0*(k1 + 2*k2 + 2*k3 + k4)
-    return yout
-
-
-def bivariate_normal(X, Y, sigmax=1.0, sigmay=1.0,
-                     mux=0.0, muy=0.0, sigmaxy=0.0):
-    """
-    Bivariate Gaussian distribution for equal shape *X*, *Y*.
-
-    See `bivariate normal
-    <http://mathworld.wolfram.com/BivariateNormalDistribution.html>`_
-    at mathworld.
-    """
-    Xmu = X-mux
-    Ymu = Y-muy
-
-    rho = sigmaxy/(sigmax*sigmay)
-    z = Xmu**2/sigmax**2 + Ymu**2/sigmay**2 - 2*rho*Xmu*Ymu/(sigmax*sigmay)
-    denom = 2*np.pi*sigmax*sigmay*np.sqrt(1-rho**2)
-    return np.exp(-z/(2*(1-rho**2))) / denom
-
-
-def get_xyz_where(Z, Cond):
-    """
-    *Z* and *Cond* are *M* x *N* matrices.  *Z* are data and *Cond* is
-    a boolean matrix where some condition is satisfied.  Return value
-    is (*x*, *y*, *z*) where *x* and *y* are the indices into *Z* and
-    *z* are the values of *Z* at those indices.  *x*, *y*, and *z* are
-    1D arrays.
-    """
-    X, Y = np.indices(Z.shape)
-    return X[Cond], Y[Cond], Z[Cond]
-
-
-def get_sparse_matrix(M, N, frac=0.1):
-    """
-    Return a *M* x *N* sparse matrix with *frac* elements randomly
-    filled.
-    """
-    data = np.zeros((M, N))*0.
-    for i in range(int(M*N*frac)):
-        x = np.random.randint(0, M-1)
-        y = np.random.randint(0, N-1)
-        data[x, y] = np.random.rand()
-    return data
-
-
-def dist(x, y):
-    """
-    Return the distance between two points.
-    """
-    d = x-y
-    return np.sqrt(np.dot(d, d))
-
-
-def dist_point_to_segment(p, s0, s1):
-    """
-    Get the distance of a point to a segment.
-
-      *p*, *s0*, *s1* are *xy* sequences
-
-    This algorithm from
-    http://softsurfer.com/Archive/algorithm_0102/algorithm_0102.htm#Distance%20to%20Ray%20or%20Segment
-    """
-    p = np.asarray(p, np.float_)
-    s0 = np.asarray(s0, np.float_)
-    s1 = np.asarray(s1, np.float_)
-    v = s1 - s0
-    w = p - s0
-
-    c1 = np.dot(w, v)
-    if c1 <= 0:
-        return dist(p, s0)
-
-    c2 = np.dot(v, v)
-    if c2 <= c1:
-        return dist(p, s1)
-
-    b = c1 / c2
-    pb = s0 + b * v
-    return dist(p, pb)
-
-
-def segments_intersect(s1, s2):
-    """
-    Return *True* if *s1* and *s2* intersect.
-    *s1* and *s2* are defined as::
-
-      s1: (x1, y1), (x2, y2)
-      s2: (x3, y3), (x4, y4)
-    """
-    (x1, y1), (x2, y2) = s1
-    (x3, y3), (x4, y4) = s2
-
-    den = ((y4-y3) * (x2-x1)) - ((x4-x3)*(y2-y1))
-
-    n1 = ((x4-x3) * (y1-y3)) - ((y4-y3)*(x1-x3))
-    n2 = ((x2-x1) * (y1-y3)) - ((y2-y1)*(x1-x3))
-
-    if den == 0:
-        # lines parallel
-        return False
-
-    u1 = n1/den
-    u2 = n2/den
-
-    return 0.0 <= u1 <= 1.0 and 0.0 <= u2 <= 1.0
-
-
-def fftsurr(x, detrend=detrend_none, window=window_none):
-    """
-    Compute an FFT phase randomized surrogate of *x*.
-    """
-    if cbook.iterable(window):
-        x = window*detrend(x)
-    else:
-        x = window(detrend(x))
-    z = np.fft.fft(x)
-    a = 2.*np.pi*1j
-    phase = a * np.random.rand(len(x))
-    z = z*np.exp(phase)
-    return np.fft.ifft(z).real
-
-
-class FIFOBuffer(object):
-    """
-    A FIFO queue to hold incoming *x*, *y* data in a rotating buffer
-    using numpy arrays under the hood.  It is assumed that you will
-    call asarrays much less frequently than you add data to the queue
-    -- otherwise another data structure will be faster.
-
-    This can be used to support plots where data is added from a real
-    time feed and the plot object wants to grab data from the buffer
-    and plot it to screen less freqeuently than the incoming.
-
-    If you set the *dataLim* attr to
-    :class:`~matplotlib.transforms.BBox` (e.g.,
-    :attr:`matplotlib.Axes.dataLim`), the *dataLim* will be updated as
-    new data come in.
-
-    TODO: add a grow method that will extend nmax
-
-    .. note::
-
-      mlab seems like the wrong place for this class.
-    """
-    @cbook.deprecated('1.3', name='FIFOBuffer', obj_type='class')
-    def __init__(self, nmax):
-        """
-        Buffer up to *nmax* points.
-        """
-        self._xa = np.zeros((nmax,), np.float_)
-        self._ya = np.zeros((nmax,), np.float_)
-        self._xs = np.zeros((nmax,), np.float_)
-        self._ys = np.zeros((nmax,), np.float_)
-        self._ind = 0
-        self._nmax = nmax
-        self.dataLim = None
-        self.callbackd = {}
-
-    def register(self, func, N):
-        """
-        Call *func* every time *N* events are passed; *func* signature
-        is ``func(fifo)``.
-        """
-        self.callbackd.setdefault(N, []).append(func)
-
-    def add(self, x, y):
-        """
-        Add scalar *x* and *y* to the queue.
-        """
-        if self.dataLim is not None:
-            xy = np.asarray([(x, y)])
-            self.dataLim.update_from_data_xy(xy, None)
-
-        ind = self._ind % self._nmax
-        self._xs[ind] = x
-        self._ys[ind] = y
-
-        for N, funcs in six.iteritems(self.callbackd):
-            if (self._ind % N) == 0:
-                for func in funcs:
-                    func(self)
-
-        self._ind += 1
-
-    def last(self):
-        """
-        Get the last *x*, *y* or *None*.  *None* if no data set.
-        """
-        if self._ind == 0:
-            return None, None
-        ind = (self._ind-1) % self._nmax
-        return self._xs[ind], self._ys[ind]
-
-    def asarrays(self):
-        """
-        Return *x* and *y* as arrays; their length will be the len of
-        data added or *nmax*.
-        """
-        if self._ind < self._nmax:
-            return self._xs[:self._ind], self._ys[:self._ind]
-        ind = self._ind % self._nmax
-
-        self._xa[:self._nmax-ind] = self._xs[ind:]
-        self._xa[self._nmax-ind:] = self._xs[:ind]
-        self._ya[:self._nmax-ind] = self._ys[ind:]
-        self._ya[self._nmax-ind:] = self._ys[:ind]
-
-        return self._xa, self._ya
-
-    def update_datalim_to_current(self):
-        """
-        Update the *datalim* in the current data in the fifo.
-        """
-        if self.dataLim is None:
-            raise ValueError('You must first set the dataLim attr')
-        x, y = self.asarrays()
-        self.dataLim.update_from_data(x, y, True)
-
-
-def movavg(x, n):
-    """
-    Compute the len(*n*) moving average of *x*.
-    """
-    w = np.empty((n,), dtype=np.float_)
-    w[:] = 1.0/n
-    return np.convolve(x, w, mode='valid')
-
-
-# the following code was written and submitted by Fernando Perez
-# from the ipython numutils package under a BSD license
-# begin fperez functions
-
-"""
-A set of convenient utilities for numerical work.
-
-Most of this module requires numpy or is meant to be used with it.
-
-Copyright (c) 2001-2004, Fernando Perez. <Fernando.Perez@colorado.edu>
-All rights reserved.
-
-This license was generated from the BSD license template as found in:
-http://www.opensource.org/licenses/bsd-license.php
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-    * Redistributions of source code must retain the above copyright notice,
-      this list of conditions and the following disclaimer.
-
-    * Redistributions in binary form must reproduce the above copyright
-      notice, this list of conditions and the following disclaimer in the
-      documentation and/or other materials provided with the distribution.
-
-    * Neither the name of the IPython project nor the names of its
-      contributors may be used to endorse or promote products derived from
-      this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-"""
-
-import math
-
-
-# *****************************************************************************
-# Globals
-# ****************************************************************************
-# function definitions
-exp_safe_MIN = math.log(2.2250738585072014e-308)
-exp_safe_MAX = 1.7976931348623157e+308
-
-
-def exp_safe(x):
-    """
-    Compute exponentials which safely underflow to zero.
-
-    Slow, but convenient to use. Note that numpy provides proper
-    floating point exception handling with access to the underlying
-    hardware.
-    """
-
-    if type(x) is np.ndarray:
-        return np.exp(np.clip(x, exp_safe_MIN, exp_safe_MAX))
-    else:
-        return math.exp(x)
-
-
-def amap(fn, *args):
-    """
-    amap(function, sequence[, sequence, ...]) -> array.
-
-    Works like :func:`map`, but it returns an array.  This is just a
-    convenient shorthand for ``numpy.array(map(...))``.
-    """
-    return np.array(list(map(fn, *args)))
-
-
-def rms_flat(a):
-    """
-    Return the root mean square of all the elements of *a*, flattened out.
-    """
-    return np.sqrt(np.mean(np.absolute(a)**2))
-
-
-def l1norm(a):
-    """
-    Return the *l1* norm of *a*, flattened out.
-
-    Implemented as a separate function (not a call to :func:`norm` for speed).
-    """
-    return np.sum(np.absolute(a))
-
-
-def l2norm(a):
-    """
-    Return the *l2* norm of *a*, flattened out.
-
-    Implemented as a separate function (not a call to :func:`norm` for speed).
-    """
-    return np.sqrt(np.sum(np.absolute(a)**2))
-
-
-def norm_flat(a, p=2):
-    """
-    norm(a,p=2) -> l-p norm of a.flat
-
-    Return the l-p norm of *a*, considered as a flat array.  This is NOT a true
-    matrix norm, since arrays of arbitrary rank are always flattened.
-
-    *p* can be a number or the string 'Infinity' to get the L-infinity norm.
-    """
-    # This function was being masked by a more general norm later in
-    # the file.  We may want to simply delete it.
-    if p == 'Infinity':
-        return np.amax(np.absolute(a))
-    else:
-        return (np.sum(np.absolute(a)**p))**(1.0/p)
-
-
-def frange(xini, xfin=None, delta=None, **kw):
-    """
-    frange([start,] stop[, step, keywords]) -> array of floats
-
-    Return a numpy ndarray containing a progression of floats. Similar to
-    :func:`numpy.arange`, but defaults to a closed interval.
-
-    ``frange(x0, x1)`` returns ``[x0, x0+1, x0+2, ..., x1]``; *start*
-    defaults to 0, and the endpoint *is included*. This behavior is
-    different from that of :func:`range` and
-    :func:`numpy.arange`. This is deliberate, since :func:`frange`
-    will probably be more useful for generating lists of points for
-    function evaluation, and endpoints are often desired in this
-    use. The usual behavior of :func:`range` can be obtained by
-    setting the keyword *closed* = 0, in this case, :func:`frange`
-    basically becomes :func:numpy.arange`.
-
-    When *step* is given, it specifies the increment (or
-    decrement). All arguments can be floating point numbers.
-
-    ``frange(x0,x1,d)`` returns ``[x0,x0+d,x0+2d,...,xfin]`` where
-    *xfin* <= *x1*.
-
-    :func:`frange` can also be called with the keyword *npts*. This
-    sets the number of points the list should contain (and overrides
-    the value *step* might have been given). :func:`numpy.arange`
-    doesn't offer this option.
-
-    Examples::
-
-      >>> frange(3)
-      array([ 0.,  1.,  2.,  3.])
-      >>> frange(3,closed=0)
-      array([ 0.,  1.,  2.])
-      >>> frange(1,6,2)
-      array([1, 3, 5])   or 1,3,5,7, depending on floating point vagueries
-      >>> frange(1,6.5,npts=5)
-      array([ 1.   ,  2.375,  3.75 ,  5.125,  6.5  ])
-    """
-
-    # defaults
-    kw.setdefault('closed', 1)
-    endpoint = kw['closed'] != 0
-
-    # funny logic to allow the *first* argument to be optional (like range())
-    # This was modified with a simpler version from a similar frange() found
-    # at http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/66472
-    if xfin is None:
-        xfin = xini + 0.0
-        xini = 0.0
-
-    if delta is None:
-        delta = 1.0
-
-    # compute # of points, spacing and return final list
-    try:
-        npts = kw['npts']
-        delta = (xfin-xini)/float(npts-endpoint)
-    except KeyError:
-        npts = int(round((xfin-xini)/delta)) + endpoint
-        # round finds the nearest, so the endpoint can be up to
-        # delta/2 larger than xfin.
-
-    return np.arange(npts)*delta+xini
-# end frange()
-
-
-def identity(n, rank=2, dtype='l', typecode=None):
-    """
-    Returns the identity matrix of shape (*n*, *n*, ..., *n*) (rank *r*).
-
-    For ranks higher than 2, this object is simply a multi-index Kronecker
-    delta::
-
-                            /  1  if i0=i1=...=iR,
-        id[i0,i1,...,iR] = -|
-                            \  0  otherwise.
-
-    Optionally a *dtype* (or typecode) may be given (it defaults to 'l').
-
-    Since rank defaults to 2, this function behaves in the default case (when
-    only *n* is given) like ``numpy.identity(n)`` -- but surprisingly, it is
-    much faster.
-    """
-    if typecode is not None:
-        dtype = typecode
-    iden = np.zeros((n,)*rank, dtype)
-    for i in range(n):
-        idx = (i,)*rank
-        iden[idx] = 1
-    return iden
-
-
-def base_repr(number, base=2, padding=0):
-    """
-    Return the representation of a *number* in any given *base*.
-    """
-    chars = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'
-    if number < base:
-        return (padding - 1) * chars[0] + chars[int(number)]
-    max_exponent = int(math.log(number)/math.log(base))
-    max_power = long(base) ** max_exponent
-    lead_digit = int(number/max_power)
-    return (chars[lead_digit] +
-            base_repr(number - max_power * lead_digit, base,
-                      max(padding - 1, max_exponent)))
-
-
-def binary_repr(number, max_length=1025):
-    """
-    Return the binary representation of the input *number* as a
-    string.
-
-    This is more efficient than using :func:`base_repr` with base 2.
-
-    Increase the value of max_length for very large numbers. Note that
-    on 32-bit machines, 2**1023 is the largest integer power of 2
-    which can be converted to a Python float.
-    """
-
-#   assert number < 2L << max_length
-    shifts = list(map(operator.rshift, max_length * [number],
-                  range(max_length - 1, -1, -1)))
-    digits = list(map(operator.mod, shifts, max_length * [2]))
-    if not digits.count(1):
-        return 0
-    digits = digits[digits.index(1):]
-    return ''.join(map(repr, digits)).replace('L', '')
-
-
-def log2(x, ln2=math.log(2.0)):
-    """
-    Return the log(*x*) in base 2.
-
-    This is a _slow_ function but which is guaranteed to return the correct
-    integer value if the input is an integer exact power of 2.
-    """
-    try:
-        bin_n = binary_repr(x)[1:]
-    except (AssertionError, TypeError):
-        return math.log(x)/ln2
-    else:
-        if '1' in bin_n:
-            return math.log(x)/ln2
-        else:
-            return len(bin_n)
-
-
-def ispower2(n):
-    """
-    Returns the log base 2 of *n* if *n* is a power of 2, zero otherwise.
-
-    Note the potential ambiguity if *n* == 1: 2**0 == 1, interpret accordingly.
-    """
-
-    bin_n = binary_repr(n)[1:]
-    if '1' in bin_n:
-        return 0
-    else:
-        return len(bin_n)
-
-
-def isvector(X):
-    """
-    Like the MATLAB function with the same name, returns *True*
-    if the supplied numpy array or matrix *X* looks like a vector,
-    meaning it has a one non-singleton axis (i.e., it can have
-    multiple axes, but all must have length 1, except for one of
-    them).
-
-    If you just want to see if the array has 1 axis, use X.ndim == 1.
-    """
-    return np.prod(X.shape) == np.max(X.shape)
-
-# end fperez numutils code
-
-
-# helpers for loading, saving, manipulating and viewing numpy record arrays
-
-def safe_isnan(x):
-    ':func:`numpy.isnan` for arbitrary types'
-    if cbook.is_string_like(x):
-        return False
-    try:
-        b = np.isnan(x)
-    except NotImplementedError:
-        return False
-    except TypeError:
-        return False
-    else:
-        return b
-
-
-def safe_isinf(x):
-    ':func:`numpy.isinf` for arbitrary types'
-    if cbook.is_string_like(x):
-        return False
-    try:
-        b = np.isinf(x)
-    except NotImplementedError:
-        return False
-    except TypeError:
-        return False
-    else:
-        return b
-
-
-def rec_append_fields(rec, names, arrs, dtypes=None):
-    """
-    Return a new record array with field names populated with data
-    from arrays in *arrs*.  If appending a single field, then *names*,
-    *arrs* and *dtypes* do not have to be lists. They can just be the
-    values themselves.
-    """
-    if (not cbook.is_string_like(names) and cbook.iterable(names)
-            and len(names) and cbook.is_string_like(names[0])):
-        if len(names) != len(arrs):
-            raise ValueError("number of arrays do not match number of names")
-    else:  # we have only 1 name and 1 array
-        names = [names]
-        arrs = [arrs]
-    arrs = list(map(np.asarray, arrs))
-    if dtypes is None:
-        dtypes = [a.dtype for a in arrs]
-    elif not cbook.iterable(dtypes):
-        dtypes = [dtypes]
-    if len(arrs) != len(dtypes):
-        if len(dtypes) == 1:
-            dtypes = dtypes * len(arrs)
-        else:
-            raise ValueError("dtypes must be None, a single dtype or a list")
-
-    newdtype = np.dtype(rec.dtype.descr + list(zip(names, dtypes)))
-    newrec = np.recarray(rec.shape, dtype=newdtype)
-    for field in rec.dtype.fields:
-        newrec[field] = rec[field]
-    for name, arr in zip(names, arrs):
-        newrec[name] = arr
-    return newrec
-
-
-def rec_drop_fields(rec, names):
-    """
-    Return a new numpy record array with fields in *names* dropped.
-    """
-
-    names = set(names)
-
-    newdtype = np.dtype([(name, rec.dtype[name]) for name in rec.dtype.names
-                         if name not in names])
-
-    newrec = np.recarray(rec.shape, dtype=newdtype)
-    for field in newdtype.names:
-        newrec[field] = rec[field]
-
-    return newrec
-
-
-def rec_keep_fields(rec, names):
-    """
-    Return a new numpy record array with only fields listed in names
-    """
-
-    if cbook.is_string_like(names):
-        names = names.split(',')
-
-    arrays = []
-    for name in names:
-        arrays.append(rec[name])
-
-    return np.rec.fromarrays(arrays, names=names)
-
-
-def rec_groupby(r, groupby, stats):
-    """
-    *r* is a numpy record array
-
-    *groupby* is a sequence of record array attribute names that
-    together form the grouping key.  e.g., ('date', 'productcode')
-
-    *stats* is a sequence of (*attr*, *func*, *outname*) tuples which
-    will call ``x = func(attr)`` and assign *x* to the record array
-    output with attribute *outname*.  For example::
-
-      stats = ( ('sales', len, 'numsales'), ('sales', np.mean, 'avgsale') )
-
-    Return record array has *dtype* names for each attribute name in
-    the the *groupby* argument, with the associated group values, and
-    for each outname name in the *stats* argument, with the associated
-    stat summary output.
-    """
-    # build a dictionary from groupby keys-> list of indices into r with
-    # those keys
-    rowd = dict()
-    for i, row in enumerate(r):
-        key = tuple([row[attr] for attr in groupby])
-        rowd.setdefault(key, []).append(i)
-
-    # sort the output by groupby keys
-    keys = list(six.iterkeys(rowd))
-    keys.sort()
-
-    rows = []
-    for key in keys:
-        row = list(key)
-        # get the indices for this groupby key
-        ind = rowd[key]
-        thisr = r[ind]
-        # call each stat function for this groupby slice
-        row.extend([func(thisr[attr]) for attr, func, outname in stats])
-        rows.append(row)
-
-    # build the output record array with groupby and outname attributes
-    attrs, funcs, outnames = list(zip(*stats))
-    names = list(groupby)
-    names.extend(outnames)
-    return np.rec.fromrecords(rows, names=names)
-
-
-def rec_summarize(r, summaryfuncs):
-    """
-    *r* is a numpy record array
-
-    *summaryfuncs* is a list of (*attr*, *func*, *outname*) tuples
-    which will apply *func* to the the array *r*[attr] and assign the
-    output to a new attribute name *outname*.  The returned record
-    array is identical to *r*, with extra arrays for each element in
-    *summaryfuncs*.
-
-    """
-
-    names = list(r.dtype.names)
-    arrays = [r[name] for name in names]
-
-    for attr, func, outname in summaryfuncs:
-        names.append(outname)
-        arrays.append(np.asarray(func(r[attr])))
-
-    return np.rec.fromarrays(arrays, names=names)
-
-
-def rec_join(key, r1, r2, jointype='inner', defaults=None, r1postfix='1',
-             r2postfix='2'):
-    """
-    Join record arrays *r1* and *r2* on *key*; *key* is a tuple of
-    field names -- if *key* is a string it is assumed to be a single
-    attribute name. If *r1* and *r2* have equal values on all the keys
-    in the *key* tuple, then their fields will be merged into a new
-    record array containing the intersection of the fields of *r1* and
-    *r2*.
-
-    *r1* (also *r2*) must not have any duplicate keys.
-
-    The *jointype* keyword can be 'inner', 'outer', 'leftouter'.  To
-    do a rightouter join just reverse *r1* and *r2*.
-
-    The *defaults* keyword is a dictionary filled with
-    ``{column_name:default_value}`` pairs.
-
-    The keywords *r1postfix* and *r2postfix* are postfixed to column names
-    (other than keys) that are both in *r1* and *r2*.
-    """
-
-    if cbook.is_string_like(key):
-        key = (key, )
-
-    for name in key:
-        if name not in r1.dtype.names:
-            raise ValueError('r1 does not have key field %s' % name)
-        if name not in r2.dtype.names:
-            raise ValueError('r2 does not have key field %s' % name)
-
-    def makekey(row):
-        return tuple([row[name] for name in key])
-
-    r1d = dict([(makekey(row), i) for i, row in enumerate(r1)])
-    r2d = dict([(makekey(row), i) for i, row in enumerate(r2)])
-
-    r1keys = set(r1d.keys())
-    r2keys = set(r2d.keys())
-
-    common_keys = r1keys & r2keys
-
-    r1ind = np.array([r1d[k] for k in common_keys])
-    r2ind = np.array([r2d[k] for k in common_keys])
-
-    common_len = len(common_keys)
-    left_len = right_len = 0
-    if jointype == "outer" or jointype == "leftouter":
-        left_keys = r1keys.difference(r2keys)
-        left_ind = np.array([r1d[k] for k in left_keys])
-        left_len = len(left_ind)
-    if jointype == "outer":
-        right_keys = r2keys.difference(r1keys)
-        right_ind = np.array([r2d[k] for k in right_keys])
-        right_len = len(right_ind)
-
-    def key_desc(name):
-        '''
-        if name is a string key, use the larger size of r1 or r2 before
-        merging
-        '''
-        dt1 = r1.dtype[name]
-        if dt1.type != np.string_:
-            return (name, dt1.descr[0][1])
-
-        dt2 = r2.dtype[name]
-        if dt1 != dt2:
-            msg = "The '{}' fields in arrays 'r1' and 'r2' must have the same"
-            msg += " dtype."
-            raise ValueError(msg.format(name))
-        if dt1.num > dt2.num:
-            return (name, dt1.descr[0][1])
-        else:
-            return (name, dt2.descr[0][1])
-
-    keydesc = [key_desc(name) for name in key]
-
-    def mapped_r1field(name):
-        """
-        The column name in *newrec* that corresponds to the column in *r1*.
-        """
-        if name in key or name not in r2.dtype.names:
-            return name
-        else:
-            return name + r1postfix
-
-    def mapped_r2field(name):
-        """
-        The column name in *newrec* that corresponds to the column in *r2*.
-        """
-        if name in key or name not in r1.dtype.names:
-            return name
-        else:
-            return name + r2postfix
-
-    r1desc = [(mapped_r1field(desc[0]), desc[1]) for desc in r1.dtype.descr
-              if desc[0] not in key]
-    r2desc = [(mapped_r2field(desc[0]), desc[1]) for desc in r2.dtype.descr
-              if desc[0] not in key]
-    newdtype = np.dtype(keydesc + r1desc + r2desc)
-
-    newrec = np.recarray((common_len + left_len + right_len,), dtype=newdtype)
-
-    if defaults is not None:
-        for thiskey in defaults:
-            if thiskey not in newdtype.names:
-                warnings.warn('rec_join defaults key="%s" not in new dtype '
-                              'names "%s"' % (thiskey, newdtype.names))
-
-    for name in newdtype.names:
-        dt = newdtype[name]
-        if dt.kind in ('f', 'i'):
-            newrec[name] = 0
-
-    if jointype != 'inner' and defaults is not None:
-        # fill in the defaults enmasse
-        newrec_fields = list(six.iterkeys(newrec.dtype.fields.keys))
-        for k, v in six.iteritems(defaults):
-            if k in newrec_fields:
-                newrec[k] = v
-
-    for field in r1.dtype.names:
-        newfield = mapped_r1field(field)
-        if common_len:
-            newrec[newfield][:common_len] = r1[field][r1ind]
-        if (jointype == "outer" or jointype == "leftouter") and left_len:
-            newrec[newfield][common_len:(common_len+left_len)] = (
-                r1[field][left_ind]
-            )
-
-    for field in r2.dtype.names:
-        newfield = mapped_r2field(field)
-        if field not in key and common_len:
-            newrec[newfield][:common_len] = r2[field][r2ind]
-        if jointype == "outer" and right_len:
-            newrec[newfield][-right_len:] = r2[field][right_ind]
-
-    newrec.sort(order=key)
-
-    return newrec
-
-
-def recs_join(key, name, recs, jointype='outer', missing=0., postfixes=None):
-    """
-    Join a sequence of record arrays on single column key.
-
-    This function only joins a single column of the multiple record arrays
-
-    *key*
-      is the column name that acts as a key
-
-    *name*
-      is the name of the column that we want to join
-
-    *recs*
-      is a list of record arrays to join
-
-    *jointype*
-      is a string 'inner' or 'outer'
-
-    *missing*
-      is what any missing field is replaced by
-
-    *postfixes*
-      if not None, a len recs sequence of postfixes
-
-    returns a record array with columns [rowkey, name0, name1, ... namen-1].
-    or if postfixes [PF0, PF1, ..., PFN-1] are supplied,
-    [rowkey, namePF0, namePF1, ... namePFN-1].
-
-    Example::
-
-      r = recs_join("date", "close", recs=[r0, r1], missing=0.)
-
-    """
-    results = []
-    aligned_iters = cbook.align_iterators(operator.attrgetter(key),
-                                          *[iter(r) for r in recs])
-
-    def extract(r):
-        if r is None:
-            return missing
-        else:
-            return r[name]
-
-    if jointype == "outer":
-        for rowkey, row in aligned_iters:
-            results.append([rowkey] + list(map(extract, row)))
-    elif jointype == "inner":
-        for rowkey, row in aligned_iters:
-            if None not in row:  # throw out any Nones
-                results.append([rowkey] + list(map(extract, row)))
-
-    if postfixes is None:
-        postfixes = ['%d' % i for i in range(len(recs))]
-    names = ",".join([key] + ["%s%s" % (name, postfix)
-                              for postfix in postfixes])
-    return np.rec.fromrecords(results, names=names)
-
-
-def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
-            converterd=None, names=None, missing='', missingd=None,
-            use_mrecords=False, dayfirst=False, yearfirst=False):
-    """
-    Load data from comma/space/tab delimited file in *fname* into a
-    numpy record array and return the record array.
-
-    If *names* is *None*, a header row is required to automatically
-    assign the recarray names.  The headers will be lower cased,
-    spaces will be converted to underscores, and illegal attribute
-    name characters removed.  If *names* is not *None*, it is a
-    sequence of names to use for the column names.  In this case, it
-    is assumed there is no header row.
-
-
-    - *fname*: can be a filename or a file handle.  Support for gzipped
-      files is automatic, if the filename ends in '.gz'
-
-    - *comments*: the character used to indicate the start of a comment
-      in the file, or *None* to switch off the removal of comments
-
-    - *skiprows*: is the number of rows from the top to skip
-
-    - *checkrows*: is the number of rows to check to validate the column
-      data type.  When set to zero all rows are validated.
-
-    - *converterd*: if not *None*, is a dictionary mapping column number or
-      munged column name to a converter function.
-
-    - *names*: if not None, is a list of header names.  In this case, no
-      header will be read from the file
-
-    - *missingd* is a dictionary mapping munged column names to field values
-      which signify that the field does not contain actual data and should
-      be masked, e.g., '0000-00-00' or 'unused'
-
-    - *missing*: a string whose value signals a missing field regardless of
-      the column it appears in
-
-    - *use_mrecords*: if True, return an mrecords.fromrecords record array if
-      any of the data are missing
-
-    - *dayfirst*: default is False so that MM-DD-YY has precedence over
-      DD-MM-YY.  See
-      http://labix.org/python-dateutil#head-b95ce2094d189a89f80f5ae52a05b4ab7b41af47
-      for further information.
-
-    - *yearfirst*: default is False so that MM-DD-YY has precedence over
-      YY-MM-DD. See
-      http://labix.org/python-dateutil#head-b95ce2094d189a89f80f5ae52a05b4ab7b41af47
-      for further information.
-
-      If no rows are found, *None* is returned -- see
-      :file:`examples/loadrec.py`
-    """
-
-    if converterd is None:
-        converterd = dict()
-
-    if missingd is None:
-        missingd = {}
-
-    import dateutil.parser
-    import datetime
-
-    fh = cbook.to_filehandle(fname)
-
-    delimiter = str(delimiter)
-
-    class FH:
-        """
-        For space-delimited files, we want different behavior than
-        comma or tab.  Generally, we want multiple spaces to be
-        treated as a single separator, whereas with comma and tab we
-        want multiple commas to return multiple (empty) fields.  The
-        join/strip trick below effects this.
-        """
-        def __init__(self, fh):
-            self.fh = fh
-
-        def close(self):
-            self.fh.close()
-
-        def seek(self, arg):
-            self.fh.seek(arg)
-
-        def fix(self, s):
-            return ' '.join(s.split())
-
-        def __next__(self):
-            return self.fix(next(self.fh))
-
-        def __iter__(self):
-            for line in self.fh:
-                yield self.fix(line)
-
-    if delimiter == ' ':
-        fh = FH(fh)
-
-    reader = csv.reader(fh, delimiter=delimiter)
-
-    def process_skiprows(reader):
-        if skiprows:
-            for i, row in enumerate(reader):
-                if i >= (skiprows-1):
-                    break
-
-        return fh, reader
-
-    process_skiprows(reader)
-
-    def ismissing(name, val):
-        "Should the value val in column name be masked?"
-
-        if val == missing or val == missingd.get(name) or val == '':
-            return True
-        else:
-            return False
-
-    def with_default_value(func, default):
-        def newfunc(name, val):
-            if ismissing(name, val):
-                return default
-            else:
-                return func(val)
-        return newfunc
-
-    def mybool(x):
-        if x == 'True':
-            return True
-        elif x == 'False':
-            return False
-        else:
-            raise ValueError('invalid bool')
-
-    dateparser = dateutil.parser.parse
-    mydateparser = with_default_value(dateparser, datetime.date(1, 1, 1))
-    myfloat = with_default_value(float, np.nan)
-    myint = with_default_value(int, -1)
-    mystr = with_default_value(str, '')
-    mybool = with_default_value(mybool, None)
-
-    def mydate(x):
-        # try and return a date object
-        d = dateparser(x, dayfirst=dayfirst, yearfirst=yearfirst)
-
-        if d.hour > 0 or d.minute > 0 or d.second > 0:
-            raise ValueError('not a date')
-        return d.date()
-    mydate = with_default_value(mydate, datetime.date(1, 1, 1))
-
-    def get_func(name, item, func):
-        # promote functions in this order
-        funcmap = {mybool: myint, myint: myfloat, myfloat: mydate,
-                   mydate: mydateparser, mydateparser: mystr}
-        try:
-            func(name, item)
-        except:
-            if func == mystr:
-                raise ValueError('Could not find a working conversion '
-                                 'function')
-            else:
-                return get_func(name, item, funcmap[func])    # recurse
-        else:
-            return func
-
-    # map column names that clash with builtins -- TODO - extend this list
-    itemd = {
-        'return': 'return_',
-        'file':   'file_',
-        'print':  'print_',
-        }
-
-    def get_converters(reader):
-
-        converters = None
-        for i, row in enumerate(reader):
-            if i == 0:
-                converters = [mybool]*len(row)
-            if checkrows and i > checkrows:
-                break
-            for j, (name, item) in enumerate(zip(names, row)):
-                func = converterd.get(j)
-                if func is None:
-                    func = converterd.get(name)
-                if func is None:
-                    func = converters[j]
-                    if len(item.strip()):
-                        func = get_func(name, item, func)
-                else:
-                    # how should we handle custom converters and defaults?
-                    func = with_default_value(func, None)
-                converters[j] = func
-        return converters
-
-    # Get header and remove invalid characters
-    needheader = names is None
-
-    if needheader:
-        for row in reader:
-            if (len(row) and comments is not None and
-                    row[0].startswith(comments)):
-                continue
-            headers = row
-            break
-
-        # remove these chars
-        delete = set("""~!@#$%^&*()-=+~\|]}[{';: /?.>,<""")
-        delete.add('"')
-
-        names = []
-        seen = dict()
-        for i, item in enumerate(headers):
-            item = item.strip().lower().replace(' ', '_')
-            item = ''.join([c for c in item if c not in delete])
-            if not len(item):
-                item = 'column%d' % i
-
-            item = itemd.get(item, item)
-            cnt = seen.get(item, 0)
-            if cnt > 0:
-                names.append(item + '_%d' % cnt)
-            else:
-                names.append(item)
-            seen[item] = cnt+1
-
-    else:
-        if cbook.is_string_like(names):
-            names = [n.strip() for n in names.split(',')]
-
-    # get the converter functions by inspecting checkrows
-    converters = get_converters(reader)
-    if converters is None:
-        raise ValueError('Could not find any valid data in CSV file')
-
-    # reset the reader and start over
-    fh.seek(0)
-    reader = csv.reader(fh, delimiter=delimiter)
-    process_skiprows(reader)
-
-    if needheader:
-        while 1:
-            # skip past any comments and consume one line of column header
-            row = next(reader)
-            if (len(row) and comments is not None and
-                    row[0].startswith(comments)):
-                continue
-            break
-
-    # iterate over the remaining rows and convert the data to date
-    # objects, ints, or floats as approriate
-    rows = []
-    rowmasks = []
-    for i, row in enumerate(reader):
-        if not len(row):
-            continue
-        if comments is not None and row[0].startswith(comments):
-            continue
-        # Ensure that the row returned always has the same nr of elements
-        row.extend([''] * (len(converters) - len(row)))
-        rows.append([func(name, val)
-                     for func, name, val in zip(converters, names, row)])
-        rowmasks.append([ismissing(name, val)
-                         for name, val in zip(names, row)])
-    fh.close()
-
-    if not len(rows):
-        return None
-
-    if use_mrecords and np.any(rowmasks):
-        try:
-            from numpy.ma import mrecords
-        except ImportError:
-            raise RuntimeError('numpy 1.05 or later is required for masked '
-                               'array support')
-        else:
-            r = mrecords.fromrecords(rows, names=names, mask=rowmasks)
-    else:
-        r = np.rec.fromrecords(rows, names=names)
-    return r
-
-
-# a series of classes for describing the format intentions of various rec views
-class FormatObj(object):
-    def tostr(self, x):
-        return self.toval(x)
-
-    def toval(self, x):
-        return str(x)
-
-    def fromstr(self, s):
-        return s
-
-    def __hash__(self):
-        """
-        override the hash function of any of the formatters, so that we don't
-        create duplicate excel format styles
-        """
-        return hash(self.__class__)
-
-
-class FormatString(FormatObj):
-    def tostr(self, x):
-        val = repr(x)
-        return val[1:-1]
-
-
-class FormatFormatStr(FormatObj):
-    def __init__(self, fmt):
-        self.fmt = fmt
-
-    def tostr(self, x):
-        if x is None:
-            return 'None'
-        return self.fmt % self.toval(x)
-
-
-class FormatFloat(FormatFormatStr):
-    def __init__(self, precision=4, scale=1.):
-        FormatFormatStr.__init__(self, '%%1.%df' % precision)
-        self.precision = precision
-        self.scale = scale
-
-    def __hash__(self):
-        return hash((self.__class__, self.precision, self.scale))
-
-    def toval(self, x):
-        if x is not None:
-            x = x * self.scale
-        return x
-
-    def fromstr(self, s):
-        return float(s)/self.scale
-
-
-class FormatInt(FormatObj):
-
-    def tostr(self, x):
-        return '%d' % int(x)
-
-    def toval(self, x):
-        return int(x)
-
-    def fromstr(self, s):
-        return int(s)
-
-
-class FormatBool(FormatObj):
-    def toval(self, x):
-        return str(x)
-
-    def fromstr(self, s):
-        return bool(s)
-
-
-class FormatPercent(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=100.)
-
-
-class FormatThousands(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=1e-3)
-
-
-class FormatMillions(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=1e-6)
-
-
-class FormatDate(FormatObj):
-    def __init__(self, fmt):
-        self.fmt = fmt
-
-    def __hash__(self):
-        return hash((self.__class__, self.fmt))
-
-    def toval(self, x):
-        if x is None:
-            return 'None'
-        return x.strftime(self.fmt)
-
-    def fromstr(self, x):
-        import dateutil.parser
-        return dateutil.parser.parse(x).date()
-
-
-class FormatDatetime(FormatDate):
-    def __init__(self, fmt='%Y-%m-%d %H:%M:%S'):
-        FormatDate.__init__(self, fmt)
-
-    def fromstr(self, x):
-        import dateutil.parser
-        return dateutil.parser.parse(x)
-
-
-defaultformatd = {
-    np.bool_:   FormatBool(),
-    np.int16:   FormatInt(),
-    np.int32:   FormatInt(),
-    np.int64:   FormatInt(),
-    np.float32: FormatFloat(),
-    np.float64: FormatFloat(),
-    np.object_: FormatObj(),
-    np.string_: FormatString(),
-    }
-
-
-def get_formatd(r, formatd=None):
-    'build a formatd guaranteed to have a key for every dtype name'
-    if formatd is None:
-        formatd = dict()
-
-    for i, name in enumerate(r.dtype.names):
-        dt = r.dtype[name]
-        format = formatd.get(name)
-        if format is None:
-            format = defaultformatd.get(dt.type, FormatObj())
-        formatd[name] = format
-    return formatd
-
-
-def csvformat_factory(format):
-    format = copy.deepcopy(format)
-    if isinstance(format, FormatFloat):
-        format.scale = 1.  # override scaling for storage
-        format.fmt = '%r'
-    return format
-
-
-def rec2txt(r, header=None, padding=3, precision=3, fields=None):
-    """
-    Returns a textual representation of a record array.
-
-    *r*: numpy recarray
-
-    *header*: list of column headers
-
-    *padding*: space between each column
-
-    *precision*: number of decimal places to use for floats.
-        Set to an integer to apply to all floats.  Set to a
-        list of integers to apply precision individually.
-        Precision for non-floats is simply ignored.
-
-    *fields* : if not None, a list of field names to print.  fields
-    can be a list of strings like ['field1', 'field2'] or a single
-    comma separated string like 'field1,field2'
-
-    Example::
-
-      precision=[0,2,3]
-
-    Output::
-
-      ID    Price   Return
-      ABC   12.54    0.234
-      XYZ    6.32   -0.076
-    """
-
-    if fields is not None:
-        r = rec_keep_fields(r, fields)
-
-    if cbook.is_numlike(precision):
-        precision = [precision]*len(r.dtype)
-
-    def get_type(item, atype=int):
-        tdict = {None: int, int: float, float: str}
-        try:
-            atype(str(item))
-        except:
-            return get_type(item, tdict[atype])
-        return atype
-
-    def get_justify(colname, column, precision):
-        ntype = type(column[0])
-
-        if (ntype == np.str or ntype == np.str_ or ntype == np.string0 or
-                ntype == np.string_):
-            length = max(len(colname), column.itemsize)
-            return 0, length+padding, "%s"  # left justify
-
-        if (ntype == np.int or ntype == np.int16 or ntype == np.int32 or
-                ntype == np.int64 or ntype == np.int8 or ntype == np.int_):
-            length = max(len(colname),
-                         np.max(list(map(len, list(map(str, column))))))
-            return 1, length+padding, "%d"  # right justify
-
-        # JDH: my powerbook does not have np.float96 using np 1.3.0
-        """
-        In [2]: np.__version__
-        Out[2]: '1.3.0.dev5948'
-
-        In [3]: !uname -a
-        Darwin Macintosh-5.local 9.4.0 Darwin Kernel Version 9.4.0: Mon Jun
-        9 19:30:53 PDT 2008; root:xnu-1228.5.20~1/RELEASE_I386 i386 i386
-
-        In [4]: np.float96
-        ---------------------------------------------------------------------------
-        AttributeError                           Traceback (most recent call la
-        """
-        if (ntype == np.float or ntype == np.float32 or ntype == np.float64 or
-                (hasattr(np, 'float96') and (ntype == np.float96)) or
-                ntype == np.float_):
-            fmt = "%." + str(precision) + "f"
-            length = max(
-                len(colname),
-                np.max(list(map(len, list(map(lambda x: fmt % x, column)))))
-            )
-            return 1, length+padding, fmt   # right justify
-
-        return (0,
-                max(len(colname),
-                    np.max(list(map(len, list(map(str, column))))))+padding,
-                "%s")
-
-    if header is None:
-        header = r.dtype.names
-
-    justify_pad_prec = [get_justify(header[i], r.__getitem__(colname),
-                                    precision[i])
-                        for i, colname in enumerate(r.dtype.names)]
-
-    justify_pad_prec_spacer = []
-    for i in range(len(justify_pad_prec)):
-        just, pad, prec = justify_pad_prec[i]
-        if i == 0:
-            justify_pad_prec_spacer.append((just, pad, prec, 0))
-        else:
-            pjust, ppad, pprec = justify_pad_prec[i-1]
-            if pjust == 0 and just == 1:
-                justify_pad_prec_spacer.append((just, pad-padding, prec, 0))
-            elif pjust == 1 and just == 0:
-                justify_pad_prec_spacer.append((just, pad, prec, padding))
-            else:
-                justify_pad_prec_spacer.append((just, pad, prec, 0))
-
-    def format(item, just_pad_prec_spacer):
-        just, pad, prec, spacer = just_pad_prec_spacer
-        if just == 0:
-            return spacer*' ' + str(item).ljust(pad)
-        else:
-            if get_type(item) == float:
-                item = (prec % float(item))
-            elif get_type(item) == int:
-                item = (prec % int(item))
-
-            return item.rjust(pad)
-
-    textl = []
-    textl.append(''.join([format(colitem, justify_pad_prec_spacer[j])
-                          for j, colitem in enumerate(header)]))
-    for i, row in enumerate(r):
-        textl.append(''.join([format(colitem, justify_pad_prec_spacer[j])
-                              for j, colitem in enumerate(row)]))
-        if i == 0:
-            textl[0] = textl[0].rstrip()
-
-    text = os.linesep.join(textl)
-    return text
-
-
-def rec2csv(r, fname, delimiter=',', formatd=None, missing='',
-            missingd=None, withheader=True):
-    """
-    Save the data from numpy recarray *r* into a
-    comma-/space-/tab-delimited file.  The record array dtype names
-    will be used for column headers.
-
-    *fname*: can be a filename or a file handle.  Support for gzipped
-      files is automatic, if the filename ends in '.gz'
-
-    *withheader*: if withheader is False, do not write the attribute
-      names in the first row
-
-    for formatd type FormatFloat, we override the precision to store
-    full precision floats in the CSV file
-
-
-    .. seealso::
+    if mode != 'complex':
+        spec = spec.real  # Needed since helper implements generically
 
-        :func:`csv2rec`
-            For information about *missing* and *missingd*, which can
-            be used to fill in masked values into your CSV file.
-    """
+    return spec, freqs, t
 
-    delimiter = str(delimiter)
-
-    if missingd is None:
-        missingd = dict()
-
-    def with_mask(func):
-        def newfunc(val, mask, mval):
-            if mask:
-                return mval
-            else:
-                return func(val)
-        return newfunc
-
-    if r.ndim != 1:
-        raise ValueError('rec2csv only operates on 1 dimensional recarrays')
-
-    formatd = get_formatd(r, formatd)
-    funcs = []
-    for i, name in enumerate(r.dtype.names):
-        funcs.append(with_mask(csvformat_factory(formatd[name]).tostr))
-
-    fh, opened = cbook.to_filehandle(fname, 'wb', return_opened=True)
-    writer = csv.writer(fh, delimiter=delimiter)
-    header = r.dtype.names
-    if withheader:
-        writer.writerow(header)
-
-    # Our list of specials for missing values
-    mvals = []
-    for name in header:
-        mvals.append(missingd.get(name, missing))
-
-    ismasked = False
-    if len(r):
-        row = r[0]
-        ismasked = hasattr(row, '_fieldmask')
-
-    for row in r:
-        if ismasked:
-            row, rowmask = row.item(), row._fieldmask.item()
-        else:
-            rowmask = [False] * len(row)
-        writer.writerow([func(val, mask, mval) for func, val, mask, mval
-                         in zip(funcs, row, rowmask, mvals)])
-    if opened:
-        fh.close()
 
+@_docstring.interpd
+def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
+           noverlap=0, pad_to=None, sides='default', scale_by_freq=None):
+    r"""
+    The coherence between *x* and *y*.  Coherence is the normalized
+    cross spectral density:
 
-def griddata(x, y, z, xi, yi, interp='nn'):
-    """Interpolates from a nonuniformly spaced grid to some other
-    grid.
+    .. math::
 
-    Fits a surface of the form z = f(`x`, `y`) to the data in the
-    (usually) nonuniformly spaced vectors (`x`, `y`, `z`), then
-    interpolates this surface at the points specified by
-    (`xi`, `yi`) to produce `zi`.
+        C_{xy} = \frac{|P_{xy}|^2}{P_{xx}P_{yy}}
 
     Parameters
     ----------
-    x, y, z : 1d array_like
-        Coordinates of grid points to interpolate from.
-    xi, yi : 1d or 2d array_like
-        Coordinates of grid points to interpolate to.
-    interp : string key from {'nn', 'linear'}
-        Interpolation algorithm, either 'nn' for natural neighbor, or
-        'linear' for linear interpolation.
-
-    Returns
-    -------
-    2d float array
-        Array of values interpolated at (`xi`, `yi`) points.  Array
-        will be masked is any of (`xi`, `yi`) are outside the convex
-        hull of (`x`, `y`).
-
-    Notes
-    -----
-    If `interp` is 'nn' (the default), uses natural neighbor
-    interpolation based on Delaunay triangulation.  This option is
-    only available if the mpl_toolkits.natgrid module is installed.
-    This can be downloaded from https://github.com/matplotlib/natgrid.
-    The (`xi`, `yi`) grid must be regular and monotonically increasing
-    in this case.
-
-    If `interp` is 'linear', linear interpolation is used via
-    matplotlib.tri.LinearTriInterpolator.
-
-    Instead of using `griddata`, more flexible functionality and other
-    interpolation options are available using a
-    matplotlib.tri.Triangulation and a matplotlib.tri.TriInterpolator.
-    """
-    # Check input arguments.
-    x = np.asanyarray(x, dtype=np.float64)
-    y = np.asanyarray(y, dtype=np.float64)
-    z = np.asanyarray(z, dtype=np.float64)
-    if x.shape != y.shape or x.shape != z.shape or x.ndim != 1:
-        raise ValueError("x, y and z must be equal-length 1-D arrays")
-
-    xi = np.asanyarray(xi, dtype=np.float64)
-    yi = np.asanyarray(yi, dtype=np.float64)
-    if xi.ndim != yi.ndim:
-        raise ValueError("xi and yi must be arrays with the same number of "
-                         "dimensions (1 or 2)")
-    if xi.ndim == 2 and xi.shape != yi.shape:
-        raise ValueError("if xi and yi are 2D arrays, they must have the same "
-                         "shape")
-    if xi.ndim == 1:
-        xi, yi = np.meshgrid(xi, yi)
-
-    if interp == 'nn':
-        use_nn_interpolation = True
-    elif interp == 'linear':
-        use_nn_interpolation = False
-    else:
-        raise ValueError("interp keyword must be one of 'linear' (for linear "
-                         "interpolation) or 'nn' (for natural neighbor "
-                         "interpolation).  Default is 'nn'.")
-
-    # Remove masked points.
-    mask = np.ma.getmask(z)
-    if not (mask is np.ma.nomask):
-        x = x.compress(~mask)
-        y = y.compress(~mask)
-        z = z.compressed()
-
-    if use_nn_interpolation:
-        try:
-            from mpl_toolkits.natgrid import _natgrid
-        except ImportError:
-            raise RuntimeError("To use interp='nn' (Natural Neighbor "
-                               "interpolation) in griddata, natgrid must be "
-                               "installed. Either install it from http://"
-                               "sourceforge.net/projects/matplotlib/files/"
-                               "matplotlib-toolkits, or use interp='linear' "
-                               "instead.")
-
-        if xi.ndim == 2:
-            # natgrid expects 1D xi and yi arrays.
-            xi = xi[0, :]
-            yi = yi[:, 0]
-
-        # Override default natgrid internal parameters.
-        _natgrid.seti(b'ext', 0)
-        _natgrid.setr(b'nul', np.nan)
-
-        if np.min(np.diff(xi)) < 0 or np.min(np.diff(yi)) < 0:
-            raise ValueError("Output grid defined by xi,yi must be monotone "
-                             "increasing")
-
-        # Allocate array for output (buffer will be overwritten by natgridd)
-        zi = np.empty((yi.shape[0], xi.shape[0]), np.float64)
-
-        # Natgrid requires each array to be contiguous rather than e.g. a view
-        # that is a non-contiguous slice of another array.  Use numpy.require
-        # to deal with this, which will copy if necessary.
-        x = np.require(x, requirements=['C'])
-        y = np.require(y, requirements=['C'])
-        z = np.require(z, requirements=['C'])
-        xi = np.require(xi, requirements=['C'])
-        yi = np.require(yi, requirements=['C'])
-        _natgrid.natgridd(x, y, z, xi, yi, zi)
-
-        # Mask points on grid outside convex hull of input data.
-        if np.any(np.isnan(zi)):
-            zi = np.ma.masked_where(np.isnan(zi), zi)
-        return zi
-    else:
-        # Linear interpolation performed using a matplotlib.tri.Triangulation
-        # and a matplotlib.tri.LinearTriInterpolator.
-        from .tri import Triangulation, LinearTriInterpolator
-        triang = Triangulation(x, y)
-        interpolator = LinearTriInterpolator(triang, z)
-        return interpolator(xi, yi)
-
-
-##################################################
-# Linear interpolation algorithms
-##################################################
-def less_simple_linear_interpolation(x, y, xi, extrap=False):
-    """
-    This function provides simple (but somewhat less so than
-    :func:`cbook.simple_linear_interpolation`) linear interpolation.
-    :func:`simple_linear_interpolation` will give a list of point
-    between a start and an end, while this does true linear
-    interpolation at an arbitrary set of points.
-
-    This is very inefficient linear interpolation meant to be used
-    only for a small number of points in relatively non-intensive use
-    cases.  For real linear interpolation, use scipy.
-    """
-    if cbook.is_scalar(xi):
-        xi = [xi]
-
-    x = np.asarray(x)
-    y = np.asarray(y)
-    xi = np.asarray(xi)
-
-    s = list(y.shape)
-    s[0] = len(xi)
-    yi = np.tile(np.nan, s)
-
-    for ii, xx in enumerate(xi):
-        bb = x == xx
-        if np.any(bb):
-            jj, = np.nonzero(bb)
-            yi[ii] = y[jj[0]]
-        elif xx < x[0]:
-            if extrap:
-                yi[ii] = y[0]
-        elif xx > x[-1]:
-            if extrap:
-                yi[ii] = y[-1]
-        else:
-            jj, = np.nonzero(x < xx)
-            jj = max(jj)
-
-            yi[ii] = y[jj] + (xx-x[jj])/(x[jj+1]-x[jj]) * (y[jj+1]-y[jj])
-
-    return yi
-
-
-def slopes(x, y):
-    """
-    :func:`slopes` calculates the slope *y*'(*x*)
-
-    The slope is estimated using the slope obtained from that of a
-    parabola through any three consecutive points.
-
-    This method should be superior to that described in the appendix
-    of A CONSISTENTLY WELL BEHAVED METHOD OF INTERPOLATION by Russel
-    W. Stineman (Creative Computing July 1980) in at least one aspect:
-
-      Circles for interpolation demand a known aspect ratio between
-      *x*- and *y*-values.  For many functions, however, the abscissa
-      are given in different dimensions, so an aspect ratio is
-      completely arbitrary.
-
-    The parabola method gives very similar results to the circle
-    method for most regular cases but behaves much better in special
-    cases.
-
-    Norbert Nemec, Institute of Theoretical Physics, University or
-    Regensburg, April 2006 Norbert.Nemec at physik.uni-regensburg.de
-
-    (inspired by a original implementation by Halldor Bjornsson,
-    Icelandic Meteorological Office, March 2006 halldor at vedur.is)
-    """
-    # Cast key variables as float.
-    x = np.asarray(x, np.float_)
-    y = np.asarray(y, np.float_)
-
-    yp = np.zeros(y.shape, np.float_)
-
-    dx = x[1:] - x[:-1]
-    dy = y[1:] - y[:-1]
-    dydx = dy/dx
-    yp[1:-1] = (dydx[:-1] * dx[1:] + dydx[1:] * dx[:-1])/(dx[1:] + dx[:-1])
-    yp[0] = 2.0 * dy[0]/dx[0] - yp[1]
-    yp[-1] = 2.0 * dy[-1]/dx[-1] - yp[-2]
-    return yp
-
-
-def stineman_interp(xi, x, y, yp=None):
-    """
-    Given data vectors *x* and *y*, the slope vector *yp* and a new
-    abscissa vector *xi*, the function :func:`stineman_interp` uses
-    Stineman interpolation to calculate a vector *yi* corresponding to
-    *xi*.
-
-    Here's an example that generates a coarse sine curve, then
-    interpolates over a finer abscissa::
-
-      x = linspace(0,2*pi,20);  y = sin(x); yp = cos(x)
-      xi = linspace(0,2*pi,40);
-      yi = stineman_interp(xi,x,y,yp);
-      plot(x,y,'o',xi,yi)
-
-    The interpolation method is described in the article A
-    CONSISTENTLY WELL BEHAVED METHOD OF INTERPOLATION by Russell
-    W. Stineman. The article appeared in the July 1980 issue of
-    Creative Computing with a note from the editor stating that while
-    they were:
-
-      not an academic journal but once in a while something serious
-      and original comes in adding that this was
-      "apparently a real solution" to a well known problem.
+    x, y
+        Array or sequence containing the data
 
-    For *yp* = *None*, the routine automatically determines the slopes
-    using the :func:`slopes` routine.
+    %(Spectral)s
 
-    *x* is assumed to be sorted in increasing order.
+    %(PSD)s
 
-    For values ``xi[j] < x[0]`` or ``xi[j] > x[-1]``, the routine
-    tries an extrapolation.  The relevance of the data obtained from
-    this, of course, is questionable...
+    noverlap : int, default: 0 (no overlap)
+        The number of points of overlap between segments.
 
-    Original implementation by Halldor Bjornsson, Icelandic
-    Meteorolocial Office, March 2006 halldor at vedur.is
+    Returns
+    -------
+    Cxy : 1-D array
+        The coherence vector.
+    freqs : 1-D array
+            The frequencies for the elements in *Cxy*.
 
-    Completely reworked and optimized for Python by Norbert Nemec,
-    Institute of Theoretical Physics, University or Regensburg, April
-    2006 Norbert.Nemec at physik.uni-regensburg.de
+    See Also
+    --------
+    :func:`psd`, :func:`csd` :
+        For information about the methods used to compute :math:`P_{xy}`,
+        :math:`P_{xx}` and :math:`P_{yy}`.
     """
+    if len(x) < 2 * NFFT:
+        raise ValueError(
+            "Coherence is calculated by averaging over *NFFT* length "
+            "segments.  Your signal is too short for your choice of *NFFT*.")
+    Pxx, f = psd(x, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
+                 scale_by_freq)
+    Pyy, f = psd(y, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
+                 scale_by_freq)
+    Pxy, f = csd(x, y, NFFT, Fs, detrend, window, noverlap, pad_to, sides,
+                 scale_by_freq)
+    Cxy = np.abs(Pxy) ** 2 / (Pxx * Pyy)
+    return Cxy, f
 
-    # Cast key variables as float.
-    x = np.asarray(x, np.float_)
-    y = np.asarray(y, np.float_)
-    assert x.shape == y.shape
 
-    if yp is None:
-        yp = slopes(x, y)
-    else:
-        yp = np.asarray(yp, np.float_)
-
-    xi = np.asarray(xi, np.float_)
-    yi = np.zeros(xi.shape, np.float_)
-
-    # calculate linear slopes
-    dx = x[1:] - x[:-1]
-    dy = y[1:] - y[:-1]
-    s = dy/dx  # note length of s is N-1 so last element is #N-2
-
-    # find the segment each xi is in
-    # this line actually is the key to the efficiency of this implementation
-    idx = np.searchsorted(x[1:-1], xi)
-
-    # now we have generally: x[idx[j]] <= xi[j] <= x[idx[j]+1]
-    # except at the boundaries, where it may be that xi[j] < x[0] or
-    # xi[j] > x[-1]
-
-    # the y-values that would come out from a linear interpolation:
-    sidx = s.take(idx)
-    xidx = x.take(idx)
-    yidx = y.take(idx)
-    xidxp1 = x.take(idx+1)
-    yo = yidx + sidx * (xi - xidx)
-
-    # the difference that comes when using the slopes given in yp
-    # using the yp slope of the left point
-    dy1 = (yp.take(idx) - sidx) * (xi - xidx)
-    # using the yp slope of the right point
-    dy2 = (yp.take(idx+1)-sidx) * (xi - xidxp1)
-
-    dy1dy2 = dy1*dy2
-    # The following is optimized for Python. The solution actually
-    # does more calculations than necessary but exploiting the power
-    # of numpy, this is far more efficient than coding a loop by hand
-    # in Python
-    yi = yo + dy1dy2 * np.choose(np.array(np.sign(dy1dy2), np.int32)+1,
-                                 ((2*xi-xidx-xidxp1)/((dy1-dy2)*(xidxp1-xidx)),
-                                  0.0,
-                                  1/(dy1+dy2),))
-    return yi
-
-
-class GaussianKDE(object):
+class GaussianKDE:
     """
     Representation of a kernel-density estimate using Gaussian kernels.
 
-    Call signature::
-    kde = GaussianKDE(dataset, bw_method='silverman')
-
     Parameters
     ----------
-    dataset : array_like
+    dataset : array-like
         Datapoints to estimate from. In case of univariate data this is a 1-D
-        array, otherwise a 2-D array with shape (# of dims, # of data).
-
-    bw_method : str, scalar or callable, optional
-        The method used to calculate the estimator bandwidth.  This can be
-        'scott', 'silverman', a scalar constant or a callable.  If a
-        scalar, this will be used directly as `kde.factor`.  If a
+        array, otherwise a 2D array with shape (# of dims, # of data).
+    bw_method : {'scott', 'silverman'} or float or callable, optional
+        The method used to calculate the estimator bandwidth.  If a
+        float, this will be used directly as `!kde.factor`.  If a
         callable, it should take a `GaussianKDE` instance as only
-        parameter and return a scalar. If None (default), 'scott' is used.
+        parameter and return a float. If None (default), 'scott' is used.
 
     Attributes
     ----------
     dataset : ndarray
-        The dataset with which `gaussian_kde` was initialized.
-
+        The dataset passed to the constructor.
     dim : int
         Number of dimensions.
-
     num_dp : int
         Number of datapoints.
-
     factor : float
-        The bandwidth factor, obtained from `kde.covariance_factor`, with which
+        The bandwidth factor, obtained from `~GaussianKDE.covariance_factor`, with which
         the covariance matrix is multiplied.
-
     covariance : ndarray
-        The covariance matrix of `dataset`, scaled by the calculated bandwidth
-        (`kde.factor`).
-
+        The covariance matrix of *dataset*, scaled by the calculated bandwidth
+        (`!kde.factor`).
     inv_cov : ndarray
-        The inverse of `covariance`.
+        The inverse of *covariance*.
 
     Methods
     -------
     kde.evaluate(points) : ndarray
         Evaluate the estimated pdf on a provided set of points.
-
     kde(points) : ndarray
         Same as kde.evaluate(points)
-
     """
 
     # This implementation with minor modification was too good to pass up.
@@ -3825,24 +816,22 @@ def __init__(self, dataset, bw_method=None):
             raise ValueError("`dataset` input should have multiple elements.")
 
         self.dim, self.num_dp = np.array(self.dataset).shape
-        isString = isinstance(bw_method, six.string_types)
 
         if bw_method is None:
             pass
-        elif (isString and bw_method == 'scott'):
+        elif cbook._str_equal(bw_method, 'scott'):
             self.covariance_factor = self.scotts_factor
-        elif (isString and bw_method == 'silverman'):
+        elif cbook._str_equal(bw_method, 'silverman'):
             self.covariance_factor = self.silverman_factor
-        elif (np.isscalar(bw_method) and not isString):
-                self._bw_method = 'use constant'
-                self.covariance_factor = lambda: bw_method
+        elif isinstance(bw_method, Number):
+            self._bw_method = 'use constant'
+            self.covariance_factor = lambda: bw_method
         elif callable(bw_method):
             self._bw_method = bw_method
             self.covariance_factor = lambda: self._bw_method(self)
         else:
-            msg = "`bw_method` should be 'scott', 'silverman', a scalar " \
-                  "or a callable."
-            raise ValueError(msg)
+            raise ValueError("`bw_method` should be 'scott', 'silverman', a "
+                             "scalar or a callable")
 
         # Computes the covariance matrix for each Gaussian kernel using
         # covariance_factor().
@@ -3859,9 +848,8 @@ def __init__(self, dataset, bw_method=None):
 
         self.covariance = self.data_covariance * self.factor ** 2
         self.inv_cov = self.data_inv_cov / self.factor ** 2
-        self.norm_factor = np.sqrt(
-            np.linalg.det(
-                2 * np.pi * self.covariance)) * self.num_dp
+        self.norm_factor = (np.sqrt(np.linalg.det(2 * np.pi * self.covariance))
+                            * self.num_dp)
 
     def scotts_factor(self):
         return np.power(self.num_dp, -1. / (self.dim + 4))
@@ -3874,7 +862,8 @@ def silverman_factor(self):
     covariance_factor = scotts_factor
 
     def evaluate(self, points):
-        """Evaluate the estimated pdf on a set of points.
+        """
+        Evaluate the estimated pdf on a set of points.
 
         Parameters
         ----------
@@ -3884,7 +873,7 @@ def evaluate(self, points):
 
         Returns
         -------
-        values : (# of points,)-array
+        (# of points,)-array
             The values at each point.
 
         Raises
@@ -3897,11 +886,10 @@ def evaluate(self, points):
 
         dim, num_m = np.array(points).shape
         if dim != self.dim:
-            msg = "points have dimension %s, dataset has dimension %s" % (
-                dim, self.dim)
-            raise ValueError(msg)
+            raise ValueError(f"points have dimension {dim}, dataset has "
+                             f"dimension {self.dim}")
 
-        result = np.zeros((num_m,), dtype=np.float)
+        result = np.zeros(num_m)
 
         if num_m >= self.num_dp:
             # there are more points than data, so loop over data
@@ -3923,261 +911,3 @@ def evaluate(self, points):
         return result
 
     __call__ = evaluate
-
-
-##################################################
-# Code related to things in and around polygons
-##################################################
-def inside_poly(points, verts):
-    """
-    *points* is a sequence of *x*, *y* points.
-    *verts* is a sequence of *x*, *y* vertices of a polygon.
-
-    Return value is a sequence of indices into points for the points
-    that are inside the polygon.
-    """
-    # Make a closed polygon path
-    poly = Path(verts)
-
-    # Check to see which points are contained withing the Path
-    return [idx for idx, p in enumerate(points) if poly.contains_point(p)]
-
-
-def poly_below(xmin, xs, ys):
-    """
-    Given a sequence of *xs* and *ys*, return the vertices of a
-    polygon that has a horizontal base at *xmin* and an upper bound at
-    the *ys*.  *xmin* is a scalar.
-
-    Intended for use with :meth:`matplotlib.axes.Axes.fill`, e.g.,::
-
-      xv, yv = poly_below(0, x, y)
-      ax.fill(xv, yv)
-    """
-    if ma.isMaskedArray(xs) or ma.isMaskedArray(ys):
-        numpy = ma
-    else:
-        numpy = np
-
-    xs = numpy.asarray(xs)
-    ys = numpy.asarray(ys)
-    Nx = len(xs)
-    Ny = len(ys)
-    assert(Nx == Ny)
-    x = xmin*numpy.ones(2*Nx)
-    y = numpy.ones(2*Nx)
-    x[:Nx] = xs
-    y[:Nx] = ys
-    y[Nx:] = ys[::-1]
-    return x, y
-
-
-def poly_between(x, ylower, yupper):
-    """
-    Given a sequence of *x*, *ylower* and *yupper*, return the polygon
-    that fills the regions between them.  *ylower* or *yupper* can be
-    scalar or iterable.  If they are iterable, they must be equal in
-    length to *x*.
-
-    Return value is *x*, *y* arrays for use with
-    :meth:`matplotlib.axes.Axes.fill`.
-    """
-    if (ma.isMaskedArray(ylower) or ma.isMaskedArray(yupper) or
-            ma.isMaskedArray(x)):
-        numpy = ma
-    else:
-        numpy = np
-
-    Nx = len(x)
-    if not cbook.iterable(ylower):
-        ylower = ylower*numpy.ones(Nx)
-
-    if not cbook.iterable(yupper):
-        yupper = yupper*numpy.ones(Nx)
-
-    x = numpy.concatenate((x, x[::-1]))
-    y = numpy.concatenate((yupper, ylower[::-1]))
-    return x, y
-
-
-def is_closed_polygon(X):
-    """
-    Tests whether first and last object in a sequence are the same.  These are
-    presumably coordinates on a polygonal curve, in which case this function
-    tests if that curve is closed.
-    """
-    return np.all(X[0] == X[-1])
-
-
-def contiguous_regions(mask):
-    """
-    return a list of (ind0, ind1) such that mask[ind0:ind1].all() is
-    True and we cover all such regions
-
-    TODO: this is a pure python implementation which probably has a much
-    faster numpy impl
-    """
-
-    in_region = None
-    boundaries = []
-    for i, val in enumerate(mask):
-        if in_region is None and val:
-            in_region = i
-        elif in_region is not None and not val:
-            boundaries.append((in_region, i))
-            in_region = None
-
-    if in_region is not None:
-        boundaries.append((in_region, i+1))
-    return boundaries
-
-
-def cross_from_below(x, threshold):
-    """
-    return the indices into *x* where *x* crosses some threshold from
-    below, e.g., the i's where::
-
-      x[i-1]<threshold and x[i]>=threshold
-
-    Example code::
-
-        import matplotlib.pyplot as plt
-
-        t = np.arange(0.0, 2.0, 0.1)
-        s = np.sin(2*np.pi*t)
-
-        fig = plt.figure()
-        ax = fig.add_subplot(111)
-        ax.plot(t, s, '-o')
-        ax.axhline(0.5)
-        ax.axhline(-0.5)
-
-        ind = cross_from_below(s, 0.5)
-        ax.vlines(t[ind], -1, 1)
-
-        ind = cross_from_above(s, -0.5)
-        ax.vlines(t[ind], -1, 1)
-
-        plt.show()
-
-    .. seealso::
-
-        :func:`cross_from_above` and :func:`contiguous_regions`
-
-    """
-    x = np.asarray(x)
-    threshold = threshold
-    ind = np.nonzero((x[:-1] < threshold) & (x[1:] >= threshold))[0]
-    if len(ind):
-        return ind+1
-    else:
-        return ind
-
-
-def cross_from_above(x, threshold):
-    """
-    return the indices into *x* where *x* crosses some threshold from
-    below, e.g., the i's where::
-
-      x[i-1]>threshold and x[i]<=threshold
-
-    .. seealso::
-
-        :func:`cross_from_below` and :func:`contiguous_regions`
-
-    """
-    x = np.asarray(x)
-    ind = np.nonzero((x[:-1] >= threshold) & (x[1:] < threshold))[0]
-    if len(ind):
-        return ind+1
-    else:
-        return ind
-
-
-##################################################
-# Vector and path length geometry calculations
-##################################################
-def vector_lengths(X, P=2., axis=None):
-    """
-    Finds the length of a set of vectors in *n* dimensions.  This is
-    like the :func:`numpy.norm` function for vectors, but has the ability to
-    work over a particular axis of the supplied array or matrix.
-
-    Computes ``(sum((x_i)^P))^(1/P)`` for each ``{x_i}`` being the
-    elements of *X* along the given axis.  If *axis* is *None*,
-    compute over all elements of *X*.
-    """
-    X = np.asarray(X)
-    return (np.sum(X**(P), axis=axis))**(1./P)
-
-
-def distances_along_curve(X):
-    """
-    Computes the distance between a set of successive points in *N* dimensions.
-
-    Where *X* is an *M* x *N* array or matrix.  The distances between
-    successive rows is computed.  Distance is the standard Euclidean
-    distance.
-    """
-    X = np.diff(X, axis=0)
-    return vector_lengths(X, axis=1)
-
-
-def path_length(X):
-    """
-    Computes the distance travelled along a polygonal curve in *N* dimensions.
-
-    Where *X* is an *M* x *N* array or matrix.  Returns an array of
-    length *M* consisting of the distance along the curve at each point
-    (i.e., the rows of *X*).
-    """
-    X = distances_along_curve(X)
-    return np.concatenate((np.zeros(1), np.cumsum(X)))
-
-
-def quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y):
-    """
-    Converts a quadratic Bezier curve to a cubic approximation.
-
-    The inputs are the *x* and *y* coordinates of the three control
-    points of a quadratic curve, and the output is a tuple of *x* and
-    *y* coordinates of the four control points of the cubic curve.
-    """
-    # c0x, c0y = q0x, q0y
-    c1x, c1y = q0x + 2./3. * (q1x - q0x), q0y + 2./3. * (q1y - q0y)
-    c2x, c2y = c1x + 1./3. * (q2x - q0x), c1y + 1./3. * (q2y - q0y)
-    # c3x, c3y = q2x, q2y
-    return q0x, q0y, c1x, c1y, c2x, c2y, q2x, q2y
-
-
-def offset_line(y, yerr):
-    """
-    Offsets an array *y* by +/- an error and returns a tuple
-    (y - err, y + err).
-
-    The error term can be:
-
-    * A scalar. In this case, the returned tuple is obvious.
-    * A vector of the same length as *y*. The quantities y +/- err are computed
-      component-wise.
-    * A tuple of length 2. In this case, yerr[0] is the error below *y* and
-      yerr[1] is error above *y*. For example::
-
-        from pylab import *
-        x = linspace(0, 2*pi, num=100, endpoint=True)
-        y = sin(x)
-        y_minus, y_plus = mlab.offset_line(y, 0.1)
-        plot(x, y)
-        fill_between(x, ym, y2=yp)
-        show()
-
-    """
-    if cbook.is_numlike(yerr) or (cbook.iterable(yerr) and
-                                  len(yerr) == len(y)):
-        ymin = y - yerr
-        ymax = y + yerr
-    elif len(yerr) == 2:
-        ymin, ymax = y - yerr[0], y + yerr[1]
-    else:
-        raise ValueError("yerr must be scalar, 1xN or 2xN")
-    return ymin, ymax
diff --git a/lib/matplotlib/mlab.pyi b/lib/matplotlib/mlab.pyi
new file mode 100644
index 000000000000..1f23288dd10b
--- /dev/null
+++ b/lib/matplotlib/mlab.pyi
@@ -0,0 +1,100 @@
+from collections.abc import Callable
+import functools
+from typing import Literal
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+def window_hanning(x: ArrayLike) -> ArrayLike: ...
+def window_none(x: ArrayLike) -> ArrayLike: ...
+def detrend(
+    x: ArrayLike,
+    key: Literal["default", "constant", "mean", "linear", "none"]
+    | Callable[[ArrayLike, int | None], ArrayLike]
+    | None = ...,
+    axis: int | None = ...,
+) -> ArrayLike: ...
+def detrend_mean(x: ArrayLike, axis: int | None = ...) -> ArrayLike: ...
+def detrend_none(x: ArrayLike, axis: int | None = ...) -> ArrayLike: ...
+def detrend_linear(y: ArrayLike) -> ArrayLike: ...
+def psd(
+    x: ArrayLike,
+    NFFT: int | None = ...,
+    Fs: float | None = ...,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike, int | None], ArrayLike]
+    | None = ...,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+    noverlap: int | None = ...,
+    pad_to: int | None = ...,
+    sides: Literal["default", "onesided", "twosided"] | None = ...,
+    scale_by_freq: bool | None = ...,
+) -> tuple[ArrayLike, ArrayLike]: ...
+def csd(
+    x: ArrayLike,
+    y: ArrayLike | None,
+    NFFT: int | None = ...,
+    Fs: float | None = ...,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike, int | None], ArrayLike]
+    | None = ...,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+    noverlap: int | None = ...,
+    pad_to: int | None = ...,
+    sides: Literal["default", "onesided", "twosided"] | None = ...,
+    scale_by_freq: bool | None = ...,
+) -> tuple[ArrayLike, ArrayLike]: ...
+
+complex_spectrum = functools.partial(tuple[ArrayLike, ArrayLike])
+magnitude_spectrum = functools.partial(tuple[ArrayLike, ArrayLike])
+angle_spectrum = functools.partial(tuple[ArrayLike, ArrayLike])
+phase_spectrum = functools.partial(tuple[ArrayLike, ArrayLike])
+
+def specgram(
+    x: ArrayLike,
+    NFFT: int | None = ...,
+    Fs: float | None = ...,
+    detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] | None = ...,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
+    noverlap: int | None = ...,
+    pad_to: int | None = ...,
+    sides: Literal["default", "onesided", "twosided"] | None = ...,
+    scale_by_freq: bool | None = ...,
+    mode: Literal["psd", "complex", "magnitude", "angle", "phase"] | None = ...,
+) -> tuple[ArrayLike, ArrayLike, ArrayLike]: ...
+def cohere(
+    x: ArrayLike,
+    y: ArrayLike,
+    NFFT: int = ...,
+    Fs: float = ...,
+    detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] = ...,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike = ...,
+    noverlap: int = ...,
+    pad_to: int | None = ...,
+    sides: Literal["default", "onesided", "twosided"] = ...,
+    scale_by_freq: bool | None = ...,
+) -> tuple[ArrayLike, ArrayLike]: ...
+
+class GaussianKDE:
+    dataset: ArrayLike
+    dim: int
+    num_dp: int
+    factor: float
+    data_covariance: ArrayLike
+    data_inv_cov: ArrayLike
+    covariance: ArrayLike
+    inv_cov: ArrayLike
+    norm_factor: float
+    def __init__(
+        self,
+        dataset: ArrayLike,
+        bw_method: Literal["scott", "silverman"]
+        | float
+        | Callable[[GaussianKDE], float]
+        | None = ...,
+    ) -> None: ...
+    def scotts_factor(self) -> float: ...
+    def silverman_factor(self) -> float: ...
+    def covariance_factor(self) -> float: ...
+    def evaluate(self, points: ArrayLike) -> np.ndarray: ...
+    def __call__(self, points: ArrayLike) -> np.ndarray: ...
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/COPYRIGHT.TXT b/lib/matplotlib/mpl-data/fonts/ttf/COPYRIGHT.TXT
deleted file mode 100644
index e651be1c4fe9..000000000000
--- a/lib/matplotlib/mpl-data/fonts/ttf/COPYRIGHT.TXT
+++ /dev/null
@@ -1,124 +0,0 @@
-Bitstream Vera Fonts Copyright
-
-The fonts have a generous copyright, allowing derivative works (as
-long as "Bitstream" or "Vera" are not in the names), and full
-redistribution (so long as they are not *sold* by themselves). They
-can be be bundled, redistributed and sold with any software.
-
-The fonts are distributed under the following copyright:
-
-Copyright
-=========
-
-Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Bitstream
-Vera is a trademark of Bitstream, Inc.
-
-Permission is hereby granted, free of charge, to any person obtaining
-a copy of the fonts accompanying this license ("Fonts") and associated
-documentation files (the "Font Software"), to reproduce and distribute
-the Font Software, including without limitation the rights to use,
-copy, merge, publish, distribute, and/or sell copies of the Font
-Software, and to permit persons to whom the Font Software is furnished
-to do so, subject to the following conditions:
-
-The above copyright and trademark notices and this permission notice
-shall be included in all copies of one or more of the Font Software
-typefaces.
-
-The Font Software may be modified, altered, or added to, and in
-particular the designs of glyphs or characters in the Fonts may be
-modified and additional glyphs or characters may be added to the
-Fonts, only if the fonts are renamed to names not containing either
-the words "Bitstream" or the word "Vera".
-
-This License becomes null and void to the extent applicable to Fonts
-or Font Software that has been modified and is distributed under the
-"Bitstream Vera" names.
-
-The Font Software may be sold as part of a larger software package but
-no copy of one or more of the Font Software typefaces may be sold by
-itself.
-
-THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
-OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL
-BITSTREAM OR THE GNOME FOUNDATION BE LIABLE FOR ANY CLAIM, DAMAGES OR
-OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL,
-OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR
-OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT
-SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE.
-
-Except as contained in this notice, the names of Gnome, the Gnome
-Foundation, and Bitstream Inc., shall not be used in advertising or
-otherwise to promote the sale, use or other dealings in this Font
-Software without prior written authorization from the Gnome Foundation
-or Bitstream Inc., respectively. For further information, contact:
-fonts at gnome dot org.
-
-Copyright FAQ
-=============
-
-   1. I don't understand the resale restriction... What gives?
-
-      Bitstream is giving away these fonts, but wishes to ensure its
-      competitors can't just drop the fonts as is into a font sale system
-      and sell them as is. It seems fair that if Bitstream can't make money
-      from the Bitstream Vera fonts, their competitors should not be able to
-      do so either. You can sell the fonts as part of any software package,
-      however.
-
-   2. I want to package these fonts separately for distribution and
-      sale as part of a larger software package or system.  Can I do so?
-
-      Yes. A RPM or Debian package is a "larger software package" to begin 
-      with, and you aren't selling them independently by themselves. 
-      See 1. above.
-
-   3. Are derivative works allowed?
-      Yes!
-
-   4. Can I change or add to the font(s)?
-      Yes, but you must change the name(s) of the font(s).
-
-   5. Under what terms are derivative works allowed?
-
-      You must change the name(s) of the fonts. This is to ensure the
-      quality of the fonts, both to protect Bitstream and Gnome. We want to
-      ensure that if an application has opened a font specifically of these
-      names, it gets what it expects (though of course, using fontconfig,
-      substitutions could still could have occurred during font
-      opening). You must include the Bitstream copyright. Additional
-      copyrights can be added, as per copyright law. Happy Font Hacking!
-
-   6. If I have improvements for Bitstream Vera, is it possible they might get 
-       adopted in future versions?
-
-      Yes. The contract between the Gnome Foundation and Bitstream has
-      provisions for working with Bitstream to ensure quality additions to
-      the Bitstream Vera font family. Please contact us if you have such
-      additions. Note, that in general, we will want such additions for the
-      entire family, not just a single font, and that you'll have to keep
-      both Gnome and Jim Lyles, Vera's designer, happy! To make sense to add
-      glyphs to the font, they must be stylistically in keeping with Vera's
-      design. Vera cannot become a "ransom note" font. Jim Lyles will be
-      providing a document describing the design elements used in Vera, as a
-      guide and aid for people interested in contributing to Vera.
-
-   7. I want to sell a software package that uses these fonts: Can I do so?
-
-      Sure. Bundle the fonts with your software and sell your software
-      with the fonts. That is the intent of the copyright.
-
-   8. If applications have built the names "Bitstream Vera" into them, 
-      can I override this somehow to use fonts of my choosing?
-
-      This depends on exact details of the software. Most open source
-      systems and software (e.g., Gnome, KDE, etc.) are now converting to
-      use fontconfig (see www.fontconfig.org) to handle font configuration,
-      selection and substitution; it has provisions for overriding font
-      names and subsituting alternatives. An example is provided by the
-      supplied local.conf file, which chooses the family Bitstream Vera for
-      "sans", "serif" and "monospace".  Other software (e.g., the XFree86
-      core server) has other mechanisms for font substitution.
-
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf
new file mode 100644
index 000000000000..1f22f07c99bd
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Bold.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf
new file mode 100644
index 000000000000..b8886cb5e099
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-BoldOblique.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf
new file mode 100644
index 000000000000..300ea68b6c7e
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans-Oblique.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf
new file mode 100644
index 000000000000..5267218852f6
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf
new file mode 100644
index 000000000000..36758a2e70b6
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansDisplay.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf
new file mode 100644
index 000000000000..cbcdd31d6002
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Bold.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf
new file mode 100644
index 000000000000..da513440a2b2
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-BoldOblique.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf
new file mode 100644
index 000000000000..0185ce95a51d
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono-Oblique.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf
new file mode 100644
index 000000000000..278cd7813974
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSansMono.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf
new file mode 100644
index 000000000000..d683eb282bc0
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Bold.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf
new file mode 100644
index 000000000000..b4831f76548d
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-BoldItalic.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf
new file mode 100644
index 000000000000..45b508b829b3
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif-Italic.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf
new file mode 100644
index 000000000000..39dd3946d3d0
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerif.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf
new file mode 100644
index 000000000000..1623714d223f
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/DejaVuSerifDisplay.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_DEJAVU b/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_DEJAVU
new file mode 100644
index 000000000000..254e2cc42a6d
--- /dev/null
+++ b/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_DEJAVU
@@ -0,0 +1,99 @@
+Fonts are (c) Bitstream (see below). DejaVu changes are in public domain.
+Glyphs imported from Arev fonts are (c) Tavmjong Bah (see below)
+
+Bitstream Vera Fonts Copyright
+------------------------------
+
+Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Bitstream Vera is
+a trademark of Bitstream, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of the fonts accompanying this license ("Fonts") and associated
+documentation files (the "Font Software"), to reproduce and distribute the
+Font Software, including without limitation the rights to use, copy, merge,
+publish, distribute, and/or sell copies of the Font Software, and to permit
+persons to whom the Font Software is furnished to do so, subject to the
+following conditions:
+
+The above copyright and trademark notices and this permission notice shall
+be included in all copies of one or more of the Font Software typefaces.
+
+The Font Software may be modified, altered, or added to, and in particular
+the designs of glyphs or characters in the Fonts may be modified and
+additional glyphs or characters may be added to the Fonts, only if the fonts
+are renamed to names not containing either the words "Bitstream" or the word
+"Vera".
+
+This License becomes null and void to the extent applicable to Fonts or Font
+Software that has been modified and is distributed under the "Bitstream
+Vera" names.
+
+The Font Software may be sold as part of a larger software package but no
+copy of one or more of the Font Software typefaces may be sold by itself.
+
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT,
+TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL BITSTREAM OR THE GNOME
+FOUNDATION BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING
+ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES,
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF
+THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE
+FONT SOFTWARE.
+
+Except as contained in this notice, the names of Gnome, the Gnome
+Foundation, and Bitstream Inc., shall not be used in advertising or
+otherwise to promote the sale, use or other dealings in this Font Software
+without prior written authorization from the Gnome Foundation or Bitstream
+Inc., respectively. For further information, contact: fonts at gnome dot
+org. 
+
+Arev Fonts Copyright
+------------------------------
+
+Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the fonts accompanying this license ("Fonts") and
+associated documentation files (the "Font Software"), to reproduce
+and distribute the modifications to the Bitstream Vera Font Software,
+including without limitation the rights to use, copy, merge, publish,
+distribute, and/or sell copies of the Font Software, and to permit
+persons to whom the Font Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright and trademark notices and this permission notice
+shall be included in all copies of one or more of the Font Software
+typefaces.
+
+The Font Software may be modified, altered, or added to, and in
+particular the designs of glyphs or characters in the Fonts may be
+modified and additional glyphs or characters may be added to the
+Fonts, only if the fonts are renamed to names not containing either
+the words "Tavmjong Bah" or the word "Arev".
+
+This License becomes null and void to the extent applicable to Fonts
+or Font Software that has been modified and is distributed under the 
+"Tavmjong Bah Arev" names.
+
+The Font Software may be sold as part of a larger software package but
+no copy of one or more of the Font Software typefaces may be sold by
+itself.
+
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL
+TAVMJONG BAH BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
+
+Except as contained in this notice, the name of Tavmjong Bah shall not
+be used in advertising or otherwise to promote the sale, use or other
+dealings in this Font Software without prior written authorization
+from Tavmjong Bah. For further information, contact: tavmjong @ free
+. fr.
+
+$Id: LICENSE 2133 2007-11-28 02:46:28Z lechimp $
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_STIX b/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_STIX
index 12c454a3e104..6034d9474814 100644
--- a/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_STIX
+++ b/lib/matplotlib/mpl-data/fonts/ttf/LICENSE_STIX
@@ -34,7 +34,7 @@ Portions copyright (c) 1990 by Elsevier, Inc.
 
 This Font Software is licensed under the SIL Open Font License, Version 1.1.
 This license is copied below, and is also available with a FAQ at:
-http://scripts.sil.org/OFL
+https://scripts.sil.org/OFL
 
 -----------------------------------------------------------
 SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/LastResortHE-Regular.ttf b/lib/matplotlib/mpl-data/fonts/ttf/LastResortHE-Regular.ttf
new file mode 100644
index 000000000000..69ad694fa5d2
Binary files /dev/null and b/lib/matplotlib/mpl-data/fonts/ttf/LastResortHE-Regular.ttf differ
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/README.TXT b/lib/matplotlib/mpl-data/fonts/ttf/README.TXT
deleted file mode 100644
index 0f71795a7cbe..000000000000
--- a/lib/matplotlib/mpl-data/fonts/ttf/README.TXT
+++ /dev/null
@@ -1,11 +0,0 @@
-Contained herin is the Bitstream Vera font family.
-
-The Copyright information is found in the COPYRIGHT.TXT file (along
-with being incoporated into the fonts themselves).
-
-The releases notes are found in the file "RELEASENOTES.TXT".
-
-We hope you enjoy Vera!
-
-                        Bitstream, Inc.
-			The Gnome Project
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/RELEASENOTES.TXT b/lib/matplotlib/mpl-data/fonts/ttf/RELEASENOTES.TXT
deleted file mode 100644
index 48bdf390b776..000000000000
--- a/lib/matplotlib/mpl-data/fonts/ttf/RELEASENOTES.TXT
+++ /dev/null
@@ -1,162 +0,0 @@
-Bitstream Vera Fonts - April 16, 2003
-=====================================
-
-The version number of these fonts is 1.10 to distinguish them from the
-beta test fonts.
-
-Note that the Vera copyright is incorporated in the fonts themselves.
-The License field in the fonts contains the copyright license as it
-appears below. The TrueType copyright field is not large enough to
-contain the full license, so the license is incorporated (as you might
-think if you thought about it) into the license field, which
-unfortunately can be obscure to find.  (In pfaedit, see: Element->Font
-Info->TTFNames->License).
-
-Our apologies for it taking longer to complete the fonts than planned.
-Beta testers requested a tighter line spacing (less leading) and Jim
-Lyles redesigned Vera's accents to bring its line spacing to more
-typical of other fonts.  This took additional time and effort.  Our
-thanks to Jim for this effort above and beyond the call of duty.
-
-There are four monospace and sans faces (normal, oblique, bold, bold
-oblique) and two serif faces (normal and bold). Fontconfig/Xft2 (see
-www.fontconfig.org) can artificially oblique the serif faces for you:
-this loses hinting and distorts the faces slightly, but is visibly
-different than normal and bold, and reasonably pleasing.
-
-On systems with fontconfig 2.0 or 2.1 installed, making your sans,
-serif and monospace fonts default to these fonts is very easy.  Just
-drop the file local.conf into your /etc/fonts directory.  This will
-make the Bitstream fonts your default fonts for all applications using
-fontconfig (if sans, serif, or monospace names are used, as they often
-are as default values in many desktops). The XML in local.conf may
-need modification to enable subpixel decimation, if appropriate,
-however, the commented out phrase does so for XFree86 4.3, in the case
-that the server does not have sufficient information to identify the
-use of a flat panel.  Fontconfig 2.2 adds Vera to the list of font
-families and will, by default use it as the default sans, serif and
-monospace fonts.
-
-During the testing of the final Vera fonts, we learned that screen
-fonts in general are only typically hinted to work correctly at
-integer pixel sizes.  Vera is coded internally for integer sizes only.
-We need to investigate further to see if there are commonly used fonts
-that are hinted to be rounded but are not rounded to integer sizes due
-to oversights in their coding.
-
-Most fonts work best at 8 pixels and below if anti-aliased only, as
-the amount of work required to hint well at smaller and smaller sizes
-becomes astronomical.  GASP tables are typically used to control
-whether hinting is used or not, but Freetype/Xft does not currently
-support GASP tables (which are present in Vera).
-
-To mitigate this problem, both for Vera and other fonts, there will be
-(very shortly) a new fontconfig 2.2 release that will, by default not
-apply hints if the size is below 8 pixels. if you should have a font
-that in fact has been hinted more agressively, you can use fontconfig
-to note this exception. We believe this should improve many hinted
-fonts in addition to Vera, though implemeting GASP support is likely
-the right long term solution.
-
-Font rendering in Gnome or KDE is the combination of algorithms in
-Xft2 and Freetype, along with hinting in the fonts themselves. It is
-vital to have sufficient information to disentangle problems that you
-may observe.
-
-Note that having your font rendering system set up correctly is vital
-to proper judgement of problems of the fonts:
-
-    * Freetype may or may not be configured to in ways that may
-      implement execution of possibly patented (in some parts of the world)
-      TrueType hinting algorithms, particularly at small sizes.  Best
-      results are obtained while using these algorithms.
-
-    * The freetype autohinter (used when the possibly patented
-      algorithms are not used) continues to improve with each release. If
-      you are using the autohinter, please ensure you are using an up to
-      date version of freetype before reporting problems.
-
-    * Please identify what version of freetype you are using in any
-      bug reports, and how your freetype is configured.
-
-    * Make sure you are not using the freetype version included in
-      XFree86 4.3, as it has bugs that significantly degrade most fonts,
-      including Vera. if you build XFree86 4.3 from source yourself, you may
-      have installed this broken version without intending it (as I
-      did). Vera was verified with the recently released Freetype 2.1.4. On
-      many systems, 'ldd" can be used to see which freetype shared library
-      is actually being used.
-
-    * Xft/X Render does not (yet) implement gamma correction.  This
-      causes significant problems rendering white text on a black background
-      (causing partial pixels to be insufficiently shaded) if the gamma of
-      your monitor has not been compensated for, and minor problems with
-      black text on a while background.  The program "xgamma" can be used to
-      set a gamma correction value in the X server's color pallette. Most
-      monitors have a gamma near 2.
-
-    * Note that the Vera family uses minimal delta hinting. Your
-      results on other systems when not used anti-aliased may not be
-      entirely satisfying. We are primarily interested in reports of
-      problems on open source systems implementing Xft2/fontconfig/freetype
-      (which implements antialiasing and hinting adjustements, and
-      sophisticated subpixel decimation on flatpanels).  Also, the
-      algorithms used by Xft2 adjust the hints to integer widths and the
-      results are crisper on open source systems than on Windows or
-      MacIntosh.
-
-    * Your fontconfig may (probably does) predate the release of
-      fontconfig 2.2, and you may see artifacts not present when the font is
-      used at very small sizes with hinting enabled. "vc-list -V" can be
-      used to see what version you have installed.
-
-We believe and hope that these fonts will resolve the problems
-reported during beta test.  The largest change is the reduction of
-leading (interline spacing), which had annoyed a number of people, and
-reduced Vera's utility for some applcations.  The Vera monospace font
-should also now make '0' and 'O' and '1' and 'l' more clearly
-distinguishable.
-
-The version of these fonts is version 1.10.  Fontconfig should be
-choosing the new version of the fonts if both the released fonts and
-beta test fonts are installed (though please discard them: they have
-names of form tt20[1-12]gn.ttf).  Note that older versions of
-fontconfig sometimes did not rebuild their cache correctly when new
-fonts are installed: please upgrade to fontconfig 2.2. "fc-cache -f"
-can be used to force rebuilding fontconfig's cache files.
-
-If you note problems, please send them to fonts at gnome dot org, with
-exactly which face and size and unicode point you observe the problem
-at. The xfd utility from XFree86 CVS may be useful for this (e.g., "xfd
--fa sans").  A possibly more useful program to examine fonts at a
-variety of sizes is the "waterfall" program found in Keith Packard's
-CVS.
-
-        $ cvs -d :pserver:anoncvs@keithp.com:/local/src/CVS login
-        Logging in to :pserver:anoncvs@keithp.com:2401/local/src/CVS
-        CVS password: <hit return>
-        $ cvs -d :pserver:anoncvs@keithp.com:/local/src/CVS co waterfall
-        $ cd waterfall
-        $ xmkmf -a
-        $ make
-        # make install
-        # make install.man
-
-Again, please make sure you are running an up-to-date freetype, and
-that you are only examining integer sizes.
-
-Reporting Problems
-==================
-
-Please send problem reports to fonts at gnome org, with the following
-information:
-
-   1. Version of Freetype, Xft2 and fontconfig
-   2. Whether TT hinting is being used, or the autohinter
-   3. Application being used
-   4. Character/Unicode code point that has problems (if applicable)
-   5. Version of which operating system
-   6. Please include a screenshot, when possible.
-
-Please check the fonts list archives before reporting problems to cut
-down on duplication.
diff --git a/lib/matplotlib/mpl-data/fonts/ttf/Vera.ttf b/lib/matplotlib/mpl-data/fonts/ttf/Vera.ttf
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diff --git a/lib/matplotlib/mpl-data/fonts/ttf/VeraBI.ttf b/lib/matplotlib/mpl-data/fonts/ttf/VeraBI.ttf
deleted file mode 100644
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diff --git a/lib/matplotlib/mpl-data/fonts/ttf/VeraIt.ttf b/lib/matplotlib/mpl-data/fonts/ttf/VeraIt.ttf
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deleted file mode 100644
index 0b8e3a2eed83..000000000000
--- a/lib/matplotlib/mpl-data/fonts/ttf/local.conf
+++ /dev/null
@@ -1,32 +0,0 @@
-<?xml version="1.0"?>
-<!DOCTYPE fontconfig SYSTEM "fonts.dtd">
-<!-- /etc/fonts.conf file to configure system font access -->
-<fontconfig>
-        <!--  Enable sub-pixel rendering
-        <match target="font">
-                <test qual="all" name="rgba">
-                        <const>unknown</const>
-                </test>
-                <edit name="rgba" mode="assign"><const>rgb</const></edit>
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-        <alias>
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-                <prefer>
-                        <family>Bitstream Vera Sans</family>
-                </prefer>
-        </alias>
-        <alias>
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-                <prefer>
-                        <family>Bitstream Vera Sans Mono</family>
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-"NX c #F9F9FD",
-"BX c #FEFCFE",
-/* pixels */
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-"cXcXcX9X} S.;.;.X.*.<.F.uXNXBXBXBXBXBXBXBX#.cXcX",
-"cXcXcXcXE nXiXiXyXiXiXmXBXBXBXBXBXBXBXBXBX#.cXcX",
-"cXcXcXcXU +.+.+.+.+.+.+.{ +.+.+.+.+.+.+.+.Q cXcX",
-"cXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcX",
-"cXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcXcX"
-};
diff --git a/lib/matplotlib/mpl-data/images/zoom_to_rect_large.png b/lib/matplotlib/mpl-data/images/zoom_to_rect_large.png
new file mode 100644
index 000000000000..5963603bb681
Binary files /dev/null and b/lib/matplotlib/mpl-data/images/zoom_to_rect_large.png differ
diff --git a/lib/matplotlib/mpl-data/kpsewhich.lua b/lib/matplotlib/mpl-data/kpsewhich.lua
new file mode 100644
index 000000000000..8e9172a45082
--- /dev/null
+++ b/lib/matplotlib/mpl-data/kpsewhich.lua
@@ -0,0 +1,3 @@
+-- see dviread._LuatexKpsewhich
+kpse.set_program_name("latex")
+while true do print(kpse.lookup(io.read():gsub("\r", ""))); io.flush(); end
diff --git a/lib/matplotlib/mpl-data/lineprops.glade b/lib/matplotlib/mpl-data/lineprops.glade
deleted file mode 100644
index d731f3370bb7..000000000000
--- a/lib/matplotlib/mpl-data/lineprops.glade
+++ /dev/null
@@ -1,285 +0,0 @@
-<?xml version="1.0" standalone="no"?> <!--*- mode: xml -*-->
-<!DOCTYPE glade-interface SYSTEM "http://glade.gnome.org/glade-2.0.dtd">
-
-<glade-interface>
-
-<widget class="GtkDialog" id="dialog_lineprops">
-  <property name="visible">True</property>
-  <property name="title" translatable="yes">Line Properties</property>
-  <property name="type">GTK_WINDOW_TOPLEVEL</property>
-  <property name="window_position">GTK_WIN_POS_NONE</property>
-  <property name="modal">False</property>
-  <property name="resizable">True</property>
-  <property name="destroy_with_parent">False</property>
-  <property name="decorated">True</property>
-  <property name="skip_taskbar_hint">False</property>
-  <property name="skip_pager_hint">False</property>
-  <property name="type_hint">GDK_WINDOW_TYPE_HINT_DIALOG</property>
-  <property name="gravity">GDK_GRAVITY_NORTH_WEST</property>
-  <property name="has_separator">True</property>
-
-  <child internal-child="vbox">
-    <widget class="GtkVBox" id="dialog-vbox2">
-      <property name="visible">True</property>
-      <property name="homogeneous">False</property>
-      <property name="spacing">0</property>
-
-      <child internal-child="action_area">
-	<widget class="GtkHButtonBox" id="dialog-action_area2">
-	  <property name="visible">True</property>
-	  <property name="layout_style">GTK_BUTTONBOX_END</property>
-
-	  <child>
-	    <widget class="GtkButton" id="dialog_lineprops_cancelbutton">
-	      <property name="visible">True</property>
-	      <property name="can_default">True</property>
-	      <property name="can_focus">True</property>
-	      <property name="label">gtk-cancel</property>
-	      <property name="use_stock">True</property>
-	      <property name="relief">GTK_RELIEF_NORMAL</property>
-	      <property name="focus_on_click">True</property>
-	      <property name="response_id">-6</property>
-	      <signal name="clicked" handler="on_dialog_lineprops_cancelbutton_clicked" last_modification_time="Mon, 07 Nov 2005 20:52:05 GMT"/>
-	    </widget>
-	  </child>
-
-	  <child>
-	    <widget class="GtkButton" id="dialog_lineprops_okbutton">
-	      <property name="visible">True</property>
-	      <property name="can_default">True</property>
-	      <property name="can_focus">True</property>
-	      <property name="label">gtk-ok</property>
-	      <property name="use_stock">True</property>
-	      <property name="relief">GTK_RELIEF_NORMAL</property>
-	      <property name="focus_on_click">True</property>
-	      <property name="response_id">-5</property>
-	      <signal name="clicked" handler="on_dialog_lineprops_okbutton_clicked" last_modification_time="Mon, 07 Nov 2005 20:51:43 GMT"/>
-	    </widget>
-	  </child>
-	</widget>
-	<packing>
-	  <property name="padding">0</property>
-	  <property name="expand">False</property>
-	  <property name="fill">True</property>
-	  <property name="pack_type">GTK_PACK_END</property>
-	</packing>
-      </child>
-
-      <child>
-	<widget class="GtkVBox" id="vbox_lineprops">
-	  <property name="visible">True</property>
-	  <property name="homogeneous">False</property>
-	  <property name="spacing">0</property>
-
-	  <child>
-	    <widget class="GtkComboBox" id="combobox_lineprops">
-	      <property name="visible">True</property>
-	      <property name="items" translatable="yes"></property>
-	      <signal name="changed" handler="on_combobox_lineprops_changed" last_modification_time="Mon, 07 Nov 2005 20:40:07 GMT"/>
-	    </widget>
-	    <packing>
-	      <property name="padding">0</property>
-	      <property name="expand">True</property>
-	      <property name="fill">True</property>
-	    </packing>
-	  </child>
-
-	  <child>
-	    <widget class="GtkFrame" id="frame6">
-	      <property name="visible">True</property>
-	      <property name="label_xalign">0</property>
-	      <property name="label_yalign">0.5</property>
-	      <property name="shadow_type">GTK_SHADOW_NONE</property>
-
-	      <child>
-		<widget class="GtkAlignment" id="alignment9">
-		  <property name="visible">True</property>
-		  <property name="xalign">0.5</property>
-		  <property name="yalign">0.5</property>
-		  <property name="xscale">1</property>
-		  <property name="yscale">1</property>
-		  <property name="top_padding">0</property>
-		  <property name="bottom_padding">0</property>
-		  <property name="left_padding">12</property>
-		  <property name="right_padding">0</property>
-
-		  <child>
-		    <widget class="GtkVBox" id="vbox5">
-		      <property name="visible">True</property>
-		      <property name="homogeneous">False</property>
-		      <property name="spacing">0</property>
-
-		      <child>
-			<widget class="GtkTable" id="table_lineprops">
-			  <property name="visible">True</property>
-			  <property name="n_rows">2</property>
-			  <property name="n_columns">3</property>
-			  <property name="homogeneous">False</property>
-			  <property name="row_spacing">0</property>
-			  <property name="column_spacing">0</property>
-
-			  <child>
-			    <widget class="GtkLabel" id="label11">
-			      <property name="visible">True</property>
-			      <property name="label" translatable="yes">Marker</property>
-			      <property name="use_underline">False</property>
-			      <property name="use_markup">False</property>
-			      <property name="justify">GTK_JUSTIFY_LEFT</property>
-			      <property name="wrap">False</property>
-			      <property name="selectable">False</property>
-			      <property name="xalign">0.5</property>
-			      <property name="yalign">0.5</property>
-			      <property name="xpad">0</property>
-			      <property name="ypad">0</property>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">0</property>
-			      <property name="right_attach">1</property>
-			      <property name="top_attach">1</property>
-			      <property name="bottom_attach">2</property>
-			      <property name="x_options">fill</property>
-			      <property name="y_options"></property>
-			    </packing>
-			  </child>
-
-			  <child>
-			    <widget class="GtkComboBox" id="combobox_linestyles">
-			      <property name="visible">True</property>
-			      <property name="items" translatable="yes"></property>
-			      <signal name="changed" handler="on_combobox_linestyle_changed" last_modification_time="Mon, 07 Nov 2005 20:43:56 GMT"/>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">1</property>
-			      <property name="right_attach">2</property>
-			      <property name="top_attach">0</property>
-			      <property name="bottom_attach">1</property>
-			      <property name="y_options">fill</property>
-			    </packing>
-			  </child>
-
-			  <child>
-			    <widget class="GtkComboBox" id="combobox_markers">
-			      <property name="visible">True</property>
-			      <property name="items" translatable="yes"></property>
-			      <signal name="changed" handler="on_combobox_marker_changed" last_modification_time="Mon, 07 Nov 2005 20:43:14 GMT"/>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">1</property>
-			      <property name="right_attach">2</property>
-			      <property name="top_attach">1</property>
-			      <property name="bottom_attach">2</property>
-			      <property name="x_options">fill</property>
-			      <property name="y_options">fill</property>
-			    </packing>
-			  </child>
-
-			  <child>
-			    <widget class="GtkColorButton" id="colorbutton_linestyle">
-			      <property name="visible">True</property>
-			      <property name="can_focus">True</property>
-			      <property name="use_alpha">True</property>
-			      <property name="title" translatable="yes">Line color</property>
-			      <property name="focus_on_click">True</property>
-			      <signal name="color_set" handler="on_colorbutton_linestyle_color_set" last_modification_time="Mon, 07 Nov 2005 22:13:40 GMT"/>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">2</property>
-			      <property name="right_attach">3</property>
-			      <property name="top_attach">0</property>
-			      <property name="bottom_attach">1</property>
-			      <property name="x_options">fill</property>
-			      <property name="y_options"></property>
-			    </packing>
-			  </child>
-
-			  <child>
-			    <widget class="GtkColorButton" id="colorbutton_markerface">
-			      <property name="visible">True</property>
-			      <property name="can_focus">True</property>
-			      <property name="use_alpha">False</property>
-			      <property name="title" translatable="yes">Marker color</property>
-			      <property name="focus_on_click">True</property>
-			      <signal name="color_set" handler="on_colorbutton_markerface_color_set" last_modification_time="Mon, 07 Nov 2005 22:14:00 GMT"/>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">2</property>
-			      <property name="right_attach">3</property>
-			      <property name="top_attach">1</property>
-			      <property name="bottom_attach">2</property>
-			      <property name="x_options">fill</property>
-			      <property name="y_options"></property>
-			    </packing>
-			  </child>
-
-			  <child>
-			    <widget class="GtkLabel" id="label_linestyle">
-			      <property name="visible">True</property>
-			      <property name="label" translatable="yes">Line style</property>
-			      <property name="use_underline">False</property>
-			      <property name="use_markup">False</property>
-			      <property name="justify">GTK_JUSTIFY_LEFT</property>
-			      <property name="wrap">False</property>
-			      <property name="selectable">False</property>
-			      <property name="xalign">0.5</property>
-			      <property name="yalign">0.5</property>
-			      <property name="xpad">0</property>
-			      <property name="ypad">0</property>
-			    </widget>
-			    <packing>
-			      <property name="left_attach">0</property>
-			      <property name="right_attach">1</property>
-			      <property name="top_attach">0</property>
-			      <property name="bottom_attach">1</property>
-			      <property name="x_options">fill</property>
-			      <property name="y_options"></property>
-			    </packing>
-			  </child>
-			</widget>
-			<packing>
-			  <property name="padding">0</property>
-			  <property name="expand">True</property>
-			  <property name="fill">True</property>
-			</packing>
-		      </child>
-		    </widget>
-		  </child>
-		</widget>
-	      </child>
-
-	      <child>
-		<widget class="GtkLabel" id="fram_lineprops">
-		  <property name="visible">True</property>
-		  <property name="label" translatable="yes">&lt;b&gt;Line properties&lt;/b&gt;</property>
-		  <property name="use_underline">False</property>
-		  <property name="use_markup">True</property>
-		  <property name="justify">GTK_JUSTIFY_LEFT</property>
-		  <property name="wrap">False</property>
-		  <property name="selectable">False</property>
-		  <property name="xalign">0.5</property>
-		  <property name="yalign">0.5</property>
-		  <property name="xpad">0</property>
-		  <property name="ypad">0</property>
-		</widget>
-		<packing>
-		  <property name="type">label_item</property>
-		</packing>
-	      </child>
-	    </widget>
-	    <packing>
-	      <property name="padding">0</property>
-	      <property name="expand">True</property>
-	      <property name="fill">True</property>
-	    </packing>
-	  </child>
-	</widget>
-	<packing>
-	  <property name="padding">0</property>
-	  <property name="expand">True</property>
-	  <property name="fill">True</property>
-	</packing>
-      </child>
-    </widget>
-  </child>
-</widget>
-
-</glade-interface>
diff --git a/lib/matplotlib/mpl-data/matplotlibrc b/lib/matplotlib/mpl-data/matplotlibrc
new file mode 100644
index 000000000000..780dcd377041
--- /dev/null
+++ b/lib/matplotlib/mpl-data/matplotlibrc
@@ -0,0 +1,821 @@
+#### MATPLOTLIBRC FORMAT
+
+## DO NOT EDIT THIS FILE, MAKE A COPY FIRST
+##
+## This is a sample Matplotlib configuration file - you can find a copy
+## of it on your system in site-packages/matplotlib/mpl-data/matplotlibrc
+## (relative to your Python installation location).
+## DO NOT EDIT IT!
+##
+## If you wish to change your default style, copy this file to one of the
+## following locations:
+##     Unix/Linux:
+##         $HOME/.config/matplotlib/matplotlibrc OR
+##         $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
+##     Other platforms:
+##         $HOME/.matplotlib/matplotlibrc
+## and edit that copy.
+##
+## See https://matplotlib.org/stable/users/explain/customizing.html#customizing-with-matplotlibrc-files
+## for more details on the paths which are checked for the configuration file.
+##
+## Blank lines, or lines starting with a comment symbol, are ignored, as are
+## trailing comments.  Other lines must have the format:
+##     key: val  # optional comment
+##
+## Formatting: Use PEP8-like style (as enforced in the rest of the codebase).
+## All lines start with an additional '#', so that removing all leading '#'s
+## yields a valid style file.
+##
+## Colors: for the color values below, you can either use
+##     - a Matplotlib color string, such as r, k, or b
+##     - an RGB tuple, such as (1.0, 0.5, 0.0)
+##     - a double-quoted hex string, such as "#ff00ff".
+##       The unquoted string ff00ff is also supported for backward
+##       compatibility, but is discouraged.
+##     - a scalar grayscale intensity such as 0.75
+##     - a legal html color name, e.g., red, blue, darkslategray
+##
+## String values may optionally be enclosed in double quotes, which allows
+## using the comment character # in the string.
+##
+## This file (and other style files) must be encoded as utf-8.
+##
+## Matplotlib configuration are currently divided into following parts:
+##     - BACKENDS
+##     - LINES
+##     - PATCHES
+##     - HATCHES
+##     - BOXPLOT
+##     - FONT
+##     - TEXT
+##     - LaTeX
+##     - AXES
+##     - DATES
+##     - TICKS
+##     - GRIDS
+##     - LEGEND
+##     - FIGURE
+##     - IMAGES
+##     - CONTOUR PLOTS
+##     - ERRORBAR PLOTS
+##     - HISTOGRAM PLOTS
+##     - SCATTER PLOTS
+##     - AGG RENDERING
+##     - PATHS
+##     - SAVING FIGURES
+##     - INTERACTIVE KEYMAPS
+##     - ANIMATION
+
+##### CONFIGURATION BEGINS HERE
+
+
+## ***************************************************************************
+## * BACKENDS                                                                *
+## ***************************************************************************
+## The default backend.  If you omit this parameter, the first working
+## backend from the following list is used:
+##     MacOSX QtAgg Gtk4Agg Gtk3Agg TkAgg WxAgg Agg
+## Other choices include:
+##     QtCairo GTK4Cairo GTK3Cairo TkCairo WxCairo Cairo
+##     Qt5Agg Qt5Cairo Wx  # deprecated.
+##     PS PDF SVG Template
+## You can also deploy your own backend outside of Matplotlib by referring to
+## the module name (which must be in the PYTHONPATH) as 'module://my_backend'.
+##backend: Agg
+
+## The port to use for the web server in the WebAgg backend.
+#webagg.port: 8988
+
+## The address on which the WebAgg web server should be reachable
+#webagg.address: 127.0.0.1
+
+## If webagg.port is unavailable, a number of other random ports will
+## be tried until one that is available is found.
+#webagg.port_retries: 50
+
+## When True, open the web browser to the plot that is shown
+#webagg.open_in_browser: True
+
+## If you are running pyplot inside a GUI and your backend choice
+## conflicts, we will automatically try to find a compatible one for
+## you if backend_fallback is True
+#backend_fallback: True
+
+#interactive: False
+#figure.hooks:          # list of dotted.module.name:dotted.callable.name
+#toolbar:     toolbar2  # {None, toolbar2, toolmanager}
+#timezone:    UTC       # a pytz timezone string, e.g., US/Central or Europe/Paris
+
+
+## ***************************************************************************
+## * LINES                                                                   *
+## ***************************************************************************
+## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.lines
+## for more information on line properties.
+#lines.linewidth: 1.5               # line width in points
+#lines.linestyle: -                 # solid line
+#lines.color:     C0                # has no affect on plot(); see axes.prop_cycle
+#lines.marker:          None        # the default marker
+#lines.markerfacecolor: auto        # the default marker face color
+#lines.markeredgecolor: auto        # the default marker edge color
+#lines.markeredgewidth: 1.0         # the line width around the marker symbol
+#lines.markersize:      6           # marker size, in points
+#lines.dash_joinstyle:  round       # {miter, round, bevel}
+#lines.dash_capstyle:   butt        # {butt, round, projecting}
+#lines.solid_joinstyle: round       # {miter, round, bevel}
+#lines.solid_capstyle:  projecting  # {butt, round, projecting}
+#lines.antialiased: True            # render lines in antialiased (no jaggies)
+
+## The three standard dash patterns.  These are scaled by the linewidth.
+#lines.dashed_pattern: 3.7, 1.6
+#lines.dashdot_pattern: 6.4, 1.6, 1, 1.6
+#lines.dotted_pattern: 1, 1.65
+#lines.scale_dashes: True
+
+#markers.fillstyle: full  # {full, left, right, bottom, top, none}
+
+#pcolor.shading: auto
+#pcolormesh.snap: True  # Whether to snap the mesh to pixel boundaries. This is
+                        # provided solely to allow old test images to remain
+                        # unchanged. Set to False to obtain the previous behavior.
+
+## ***************************************************************************
+## * PATCHES                                                                 *
+## ***************************************************************************
+## Patches are graphical objects that fill 2D space, like polygons or circles.
+## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.patches
+## for more information on patch properties.
+#patch.linewidth:       1.0    # edge width in points.
+#patch.facecolor:       C0
+#patch.edgecolor:       black  # By default, Patches and Collections do not draw edges.
+                               # This value is only used if facecolor is "none"
+                               # (an Artist without facecolor and edgecolor would be
+                               # invisible)  or if patch.force_edgecolor is True.
+#patch.force_edgecolor: False  # By default, Patches and Collections do not draw edges.
+                               # Set this to True to draw edges with patch.edgedcolor
+                               # as the default edgecolor.
+                               # This is mainly relevant for styles.
+#patch.antialiased:     True   # render patches in antialiased (no jaggies)
+
+
+## ***************************************************************************
+## * HATCHES                                                                 *
+## ***************************************************************************
+#hatch.color:     edge
+#hatch.linewidth: 1.0
+
+
+## ***************************************************************************
+## * BOXPLOT                                                                 *
+## ***************************************************************************
+#boxplot.notch:       False
+#boxplot.vertical:    True
+#boxplot.whiskers:    1.5
+#boxplot.bootstrap:   None
+#boxplot.patchartist: False
+#boxplot.showmeans:   False
+#boxplot.showcaps:    True
+#boxplot.showbox:     True
+#boxplot.showfliers:  True
+#boxplot.meanline:    False
+
+#boxplot.flierprops.color:           black
+#boxplot.flierprops.marker:          o
+#boxplot.flierprops.markerfacecolor: none
+#boxplot.flierprops.markeredgecolor: black
+#boxplot.flierprops.markeredgewidth: 1.0
+#boxplot.flierprops.markersize:      6
+#boxplot.flierprops.linestyle:       none
+#boxplot.flierprops.linewidth:       1.0
+
+#boxplot.boxprops.color:     black
+#boxplot.boxprops.linewidth: 1.0
+#boxplot.boxprops.linestyle: -
+
+#boxplot.whiskerprops.color:     black
+#boxplot.whiskerprops.linewidth: 1.0
+#boxplot.whiskerprops.linestyle: -
+
+#boxplot.capprops.color:     black
+#boxplot.capprops.linewidth: 1.0
+#boxplot.capprops.linestyle: -
+
+#boxplot.medianprops.color:     C1
+#boxplot.medianprops.linewidth: 1.0
+#boxplot.medianprops.linestyle: -
+
+#boxplot.meanprops.color:           C2
+#boxplot.meanprops.marker:          ^
+#boxplot.meanprops.markerfacecolor: C2
+#boxplot.meanprops.markeredgecolor: C2
+#boxplot.meanprops.markersize:       6
+#boxplot.meanprops.linestyle:       --
+#boxplot.meanprops.linewidth:       1.0
+
+
+## ***************************************************************************
+## * FONT                                                                    *
+## ***************************************************************************
+## The font properties used by `text.Text`.
+## See https://matplotlib.org/stable/api/font_manager_api.html for more information
+## on font properties.  The 6 font properties used for font matching are
+## given below with their default values.
+##
+## The font.family property can take either a single or multiple entries of any
+## combination of concrete font names (not supported when rendering text with
+## usetex) or the following five generic values:
+##     - 'serif' (e.g., Times),
+##     - 'sans-serif' (e.g., Helvetica),
+##     - 'cursive' (e.g., Zapf-Chancery),
+##     - 'fantasy' (e.g., Western), and
+##     - 'monospace' (e.g., Courier).
+## Each of these values has a corresponding default list of font names
+## (font.serif, etc.); the first available font in the list is used.  Note that
+## for font.serif, font.sans-serif, and font.monospace, the first element of
+## the list (a DejaVu font) will always be used because DejaVu is shipped with
+## Matplotlib and is thus guaranteed to be available; the other entries are
+## left as examples of other possible values.
+##
+## The font.style property has three values: normal (or roman), italic
+## or oblique.  The oblique style will be used for italic, if it is not
+## present.
+##
+## The font.variant property has two values: normal or small-caps.  For
+## TrueType fonts, which are scalable fonts, small-caps is equivalent
+## to using a font size of 'smaller', or about 83 % of the current font
+## size.
+##
+## The font.weight property has effectively 13 values: normal, bold,
+## bolder, lighter, 100, 200, 300, ..., 900.  Normal is the same as
+## 400, and bold is 700.  bolder and lighter are relative values with
+## respect to the current weight.
+##
+## The font.stretch property has 11 values: ultra-condensed,
+## extra-condensed, condensed, semi-condensed, normal, semi-expanded,
+## expanded, extra-expanded, ultra-expanded, wider, and narrower.  This
+## property is not currently implemented.
+##
+## The font.size property is the default font size for text, given in points.
+## 10 pt is the standard value.
+##
+## Note that font.size controls default text sizes.  To configure
+## special text sizes tick labels, axes, labels, title, etc., see the rc
+## settings for axes and ticks.  Special text sizes can be defined
+## relative to font.size, using the following values: xx-small, x-small,
+## small, medium, large, x-large, xx-large, larger, or smaller
+
+#font.family:  sans-serif
+#font.style:   normal
+#font.variant: normal
+#font.weight:  normal
+#font.stretch: normal
+#font.size:    10.0
+
+#font.serif:      DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
+#font.sans-serif: DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
+#font.cursive:    Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, Comic Neue, Comic Sans MS, cursive
+#font.fantasy:    Chicago, Charcoal, Impact, Western, xkcd script, fantasy
+#font.monospace:  DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
+
+## If font.enable_last_resort is True, then Unicode Consortium's Last Resort
+## font will be appended to all font selections. This ensures that there will
+## always be a glyph displayed.
+#font.enable_last_resort: true
+
+
+## ***************************************************************************
+## * TEXT                                                                    *
+## ***************************************************************************
+## The text properties used by `text.Text`.
+## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.text
+## for more information on text properties
+#text.color: black
+
+## FreeType hinting flag ("foo" corresponds to FT_LOAD_FOO); may be one of the
+## following (Proprietary Matplotlib-specific synonyms are given in parentheses,
+## but their use is discouraged):
+## - default: Use the font's native hinter if possible, else FreeType's auto-hinter.
+##            ("either" is a synonym).
+## - no_autohint: Use the font's native hinter if possible, else don't hint.
+##                ("native" is a synonym.)
+## - force_autohint: Use FreeType's auto-hinter.  ("auto" is a synonym.)
+## - no_hinting: Disable hinting.  ("none" is a synonym.)
+#text.hinting: force_autohint
+
+#text.hinting_factor: 8  # Specifies the amount of softness for hinting in the
+                         # horizontal direction.  A value of 1 will hint to full
+                         # pixels.  A value of 2 will hint to half pixels etc.
+#text.kerning_factor: 0  # Specifies the scaling factor for kerning values.  This
+                         # is provided solely to allow old test images to remain
+                         # unchanged.  Set to 6 to obtain previous behavior.
+                         # Values  other than 0 or 6 have no defined meaning.
+#text.antialiased: True  # If True (default), the text will be antialiased.
+                         # This only affects raster outputs.
+#text.parse_math: True  # Use mathtext if there is an even number of unescaped
+                        # dollar signs.
+
+
+## ***************************************************************************
+## * LaTeX                                                                   *
+## ***************************************************************************
+## For more information on LaTeX properties, see
+## https://matplotlib.org/stable/users/explain/text/usetex.html
+#text.usetex: False  # use latex for all text handling. The following fonts
+                     # are supported through the usual rc parameter settings:
+                     # new century schoolbook, bookman, times, palatino,
+                     # zapf chancery, charter, serif, sans-serif, helvetica,
+                     # avant garde, courier, monospace, computer modern roman,
+                     # computer modern sans serif, computer modern typewriter
+#text.latex.preamble:   # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
+                        # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
+                        # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
+                        # text.latex.preamble is a single line of LaTeX code that
+                        # will be passed on to the LaTeX system. It may contain
+                        # any code that is valid for the LaTeX "preamble", i.e.
+                        # between the "\documentclass" and "\begin{document}"
+                        # statements.
+                        # Note that it has to be put on a single line, which may
+                        # become quite long.
+                        # The following packages are always loaded with usetex,
+                        # so beware of package collisions:
+                        #   color, fix-cm, geometry, graphicx, textcomp.
+                        # PostScript (PSNFSS) font packages may also be
+                        # loaded, depending on your font settings.
+
+## The following settings allow you to select the fonts in math mode.
+#mathtext.fontset: dejavusans  # Should be 'dejavusans' (default),
+                               # 'dejavuserif', 'cm' (Computer Modern), 'stix',
+                               # 'stixsans' or 'custom'
+## "mathtext.fontset: custom" is defined by the mathtext.bf, .cal, .it, ...
+## settings which map a TeX font name to a fontconfig font pattern.  (These
+## settings are not used for other font sets.)
+#mathtext.bf:  sans:bold
+#mathtext.bfit: sans:italic:bold
+#mathtext.cal: cursive
+#mathtext.it:  sans:italic
+#mathtext.rm:  sans
+#mathtext.sf:  sans
+#mathtext.tt:  monospace
+#mathtext.fallback: cm  # Select fallback font from ['cm' (Computer Modern), 'stix'
+                        # 'stixsans'] when a symbol cannot be found in one of the
+                        # custom math fonts. Select 'None' to not perform fallback
+                        # and replace the missing character by a dummy symbol.
+#mathtext.default: it  # The default font to use for math.
+                       # Can be any of the LaTeX font names, including
+                       # the special name "regular" for the same font
+                       # used in regular text.
+
+
+## ***************************************************************************
+## * AXES                                                                    *
+## ***************************************************************************
+## Following are default face and edge colors, default tick sizes,
+## default font sizes for tick labels, and so on.  See
+## https://matplotlib.org/stable/api/axes_api.html#module-matplotlib.axes
+#axes.facecolor:     white   # axes background color
+#axes.edgecolor:     black   # axes edge color
+#axes.linewidth:     0.8     # edge line width
+#axes.grid:          False   # display grid or not
+#axes.grid.axis:     both    # which axis the grid should apply to
+#axes.grid.which:    major   # grid lines at {major, minor, both} ticks
+#axes.titlelocation: center  # alignment of the title: {left, right, center}
+#axes.titlesize:     large   # font size of the axes title
+#axes.titleweight:   normal  # font weight of title
+#axes.titlecolor:    auto    # color of the axes title, auto falls back to
+                             # text.color as default value
+#axes.titley:        None    # position title (axes relative units).  None implies auto
+#axes.titlepad:      6.0     # pad between axes and title in points
+#axes.labelsize:     medium  # font size of the x and y labels
+#axes.labelpad:      4.0     # space between label and axis
+#axes.labelweight:   normal  # weight of the x and y labels
+#axes.labelcolor:    black
+#axes.axisbelow:     line    # draw axis gridlines and ticks:
+                             #     - below patches (True)
+                             #     - above patches but below lines ('line')
+                             #     - above all (False)
+
+#axes.formatter.limits: -5, 6  # use scientific notation if log10
+                               # of the axis range is smaller than the
+                               # first or larger than the second
+#axes.formatter.use_locale: False  # When True, format tick labels
+                                   # according to the user's locale.
+                                   # For example, use ',' as a decimal
+                                   # separator in the fr_FR locale.
+#axes.formatter.use_mathtext: False  # When True, use mathtext for scientific
+                                     # notation.
+#axes.formatter.min_exponent: 0  # minimum exponent to format in scientific notation
+#axes.formatter.useoffset: True  # If True, the tick label formatter
+                                 # will default to labeling ticks relative
+                                 # to an offset when the data range is
+                                 # small compared to the minimum absolute
+                                 # value of the data.
+#axes.formatter.offset_threshold: 4  # When useoffset is True, the offset
+                                     # will be used when it can remove
+                                     # at least this number of significant
+                                     # digits from tick labels.
+
+#axes.spines.left:   True  # display axis spines
+#axes.spines.bottom: True
+#axes.spines.top:    True
+#axes.spines.right:  True
+
+#axes.unicode_minus: True  # use Unicode for the minus symbol rather than hyphen.  See
+                           # https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
+#axes.prop_cycle: cycler(color='tab10')
+                  # color cycle for plot lines as either a named color sequence or a list
+                  # of string color specs: single letter, long name, or web-style hex
+                  # As opposed to all other parameters in this file, the color
+                  # values must be enclosed in quotes for this parameter,
+                  # e.g. '1f77b4', instead of 1f77b4.
+                  # See also https://matplotlib.org/stable/users/explain/artists/color_cycle.html
+                  # for more details on prop_cycle usage.
+#axes.xmargin:   .05  # x margin.  See `axes.Axes.margins`
+#axes.ymargin:   .05  # y margin.  See `axes.Axes.margins`
+#axes.zmargin:   .05  # z margin.  See `axes.Axes.margins`
+#axes.autolimit_mode: data  # If "data", use axes.xmargin and axes.ymargin as is.
+                            # If "round_numbers", after application of margins, axis
+                            # limits are further expanded to the nearest "round" number.
+#polaraxes.grid:    True   # display grid on polar axes
+#axes3d.grid:       True   # display grid on 3D axes
+#axes3d.automargin: False  # automatically add margin when manually setting 3D axis limits
+
+#axes3d.xaxis.panecolor:    (0.95, 0.95, 0.95, 0.5)  # background pane on 3D axes
+#axes3d.yaxis.panecolor:    (0.90, 0.90, 0.90, 0.5)  # background pane on 3D axes
+#axes3d.zaxis.panecolor:    (0.925, 0.925, 0.925, 0.5)  # background pane on 3D axes
+
+#axes3d.depthshade: True  # depth shade for 3D scatter plots
+#axes3d.depthshade_minalpha: 0.3  # minimum alpha value for depth shading
+
+#axes3d.mouserotationstyle: arcball  # {azel, trackball, sphere, arcball}
+                            # See also https://matplotlib.org/stable/api/toolkits/mplot3d/view_angles.html#rotation-with-mouse
+#axes3d.trackballsize: 0.667  # trackball diameter, in units of the Axes bbox
+#axes3d.trackballborder: 0.2  # trackball border width, in units of the Axes bbox (only for 'sphere' and 'arcball' style)
+
+## ***************************************************************************
+## * AXIS                                                                    *
+## ***************************************************************************
+#xaxis.labellocation: center  # alignment of the xaxis label: {left, right, center}
+#yaxis.labellocation: center  # alignment of the yaxis label: {bottom, top, center}
+
+
+## ***************************************************************************
+## * DATES                                                                   *
+## ***************************************************************************
+## These control the default format strings used in AutoDateFormatter.
+## Any valid format datetime format string can be used (see the python
+## `datetime` for details).  For example, by using:
+##     - '%x' will use the locale date representation
+##     - '%X' will use the locale time representation
+##     - '%c' will use the full locale datetime representation
+## These values map to the scales:
+##     {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}
+
+#date.autoformatter.year:        %Y
+#date.autoformatter.month:       %Y-%m
+#date.autoformatter.day:         %Y-%m-%d
+#date.autoformatter.hour:        %m-%d %H
+#date.autoformatter.minute:      %d %H:%M
+#date.autoformatter.second:      %H:%M:%S
+#date.autoformatter.microsecond: %M:%S.%f
+## The reference date for Matplotlib's internal date representation
+## See https://matplotlib.org/stable/gallery/ticks/date_precision_and_epochs.html
+#date.epoch: 1970-01-01T00:00:00
+## 'auto', 'concise':
+#date.converter:                  auto
+## For auto converter whether to use interval_multiples:
+#date.interval_multiples:         True
+
+## ***************************************************************************
+## * TICKS                                                                   *
+## ***************************************************************************
+## See https://matplotlib.org/stable/api/axis_api.html#matplotlib.axis.Tick
+#xtick.top:           False   # draw ticks on the top side
+#xtick.bottom:        True    # draw ticks on the bottom side
+#xtick.labeltop:      False   # draw label on the top
+#xtick.labelbottom:   True    # draw label on the bottom
+#xtick.major.size:    3.5     # major tick size in points
+#xtick.minor.size:    2       # minor tick size in points
+#xtick.major.width:   0.8     # major tick width in points
+#xtick.minor.width:   0.6     # minor tick width in points
+#xtick.major.pad:     3.5     # distance to major tick label in points
+#xtick.minor.pad:     3.4     # distance to the minor tick label in points
+#xtick.color:         black   # color of the ticks
+#xtick.labelcolor:    inherit # color of the tick labels or inherit from xtick.color
+#xtick.labelsize:     medium  # font size of the tick labels
+#xtick.direction:     out     # direction: {in, out, inout}
+#xtick.minor.visible: False   # visibility of minor ticks on x-axis
+#xtick.major.top:     True    # draw x axis top major ticks
+#xtick.major.bottom:  True    # draw x axis bottom major ticks
+#xtick.minor.top:     True    # draw x axis top minor ticks
+#xtick.minor.bottom:  True    # draw x axis bottom minor ticks
+#xtick.minor.ndivs:   auto    # number of minor ticks between the major ticks on x-axis
+#xtick.alignment:     center  # alignment of xticks
+
+#ytick.left:          True    # draw ticks on the left side
+#ytick.right:         False   # draw ticks on the right side
+#ytick.labelleft:     True    # draw tick labels on the left side
+#ytick.labelright:    False   # draw tick labels on the right side
+#ytick.major.size:    3.5     # major tick size in points
+#ytick.minor.size:    2       # minor tick size in points
+#ytick.major.width:   0.8     # major tick width in points
+#ytick.minor.width:   0.6     # minor tick width in points
+#ytick.major.pad:     3.5     # distance to major tick label in points
+#ytick.minor.pad:     3.4     # distance to the minor tick label in points
+#ytick.color:         black   # color of the ticks
+#ytick.labelcolor:    inherit # color of the tick labels or inherit from ytick.color
+#ytick.labelsize:     medium  # font size of the tick labels
+#ytick.direction:     out     # direction: {in, out, inout}
+#ytick.minor.visible: False   # visibility of minor ticks on y-axis
+#ytick.major.left:    True    # draw y axis left major ticks
+#ytick.major.right:   True    # draw y axis right major ticks
+#ytick.minor.left:    True    # draw y axis left minor ticks
+#ytick.minor.right:   True    # draw y axis right minor ticks
+#ytick.minor.ndivs:   auto    # number of minor ticks between the major ticks on y-axis
+#ytick.alignment:     center_baseline  # alignment of yticks
+
+
+## ***************************************************************************
+## * GRIDS                                                                   *
+## ***************************************************************************
+#grid.color:     "#b0b0b0"  # grid color
+#grid.linestyle: -          # solid
+#grid.linewidth: 0.8        # in points
+#grid.alpha:     1.0        # transparency, between 0.0 and 1.0
+
+
+## ***************************************************************************
+## * LEGEND                                                                  *
+## ***************************************************************************
+#legend.loc:           best
+#legend.frameon:       True     # if True, draw the legend on a background patch
+#legend.framealpha:    0.8      # legend patch transparency
+#legend.facecolor:     inherit  # inherit from axes.facecolor; or color spec
+#legend.edgecolor:     0.8      # background patch boundary color
+#legend.fancybox:      True     # if True, use a rounded box for the
+                                # legend background, else a rectangle
+#legend.shadow:        False    # if True, give background a shadow effect
+#legend.numpoints:     1        # the number of marker points in the legend line
+#legend.scatterpoints: 1        # number of scatter points
+#legend.markerscale:   1.0      # the relative size of legend markers vs. original
+#legend.fontsize:      medium
+#legend.labelcolor:    None
+#legend.title_fontsize: None    # None sets to the same as the default axes.
+
+## Dimensions as fraction of font size:
+#legend.borderpad:     0.4  # border whitespace
+#legend.labelspacing:  0.5  # the vertical space between the legend entries
+#legend.handlelength:  2.0  # the length of the legend lines
+#legend.handleheight:  0.7  # the height of the legend handle
+#legend.handletextpad: 0.8  # the space between the legend line and legend text
+#legend.borderaxespad: 0.5  # the border between the axes and legend edge
+#legend.columnspacing: 2.0  # column separation
+
+
+## ***************************************************************************
+## * FIGURE                                                                  *
+## ***************************************************************************
+## See https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure
+#figure.titlesize:   large     # size of the figure title (``Figure.suptitle()``)
+#figure.titleweight: normal    # weight of the figure title
+#figure.labelsize:   large     # size of the figure label (``Figure.sup[x|y]label()``)
+#figure.labelweight: normal    # weight of the figure label
+#figure.figsize:     6.4, 4.8  # figure size in inches
+#figure.dpi:         100       # figure dots per inch
+#figure.facecolor:   white     # figure face color
+#figure.edgecolor:   white     # figure edge color
+#figure.frameon:     True      # enable figure frame
+#figure.max_open_warning: 20   # The maximum number of figures to open through
+                               # the pyplot interface before emitting a warning.
+                               # If less than one this feature is disabled.
+#figure.raise_window : True    # Raise the GUI window to front when show() is called.
+
+## The figure subplot parameters.  All dimensions are a fraction of the figure width and height.
+#figure.subplot.left:   0.125  # the left side of the subplots of the figure
+#figure.subplot.right:  0.9    # the right side of the subplots of the figure
+#figure.subplot.bottom: 0.11   # the bottom of the subplots of the figure
+#figure.subplot.top:    0.88   # the top of the subplots of the figure
+#figure.subplot.wspace: 0.2    # the amount of width reserved for space between subplots,
+                               # expressed as a fraction of the average axis width
+#figure.subplot.hspace: 0.2    # the amount of height reserved for space between subplots,
+                               # expressed as a fraction of the average axis height
+
+## Figure layout
+#figure.autolayout: False  # When True, automatically adjust subplot
+                           # parameters to make the plot fit the figure
+                           # using `tight_layout`
+#figure.constrained_layout.use: False  # When True, automatically make plot
+                                       # elements fit on the figure. (Not
+                                       # compatible with `autolayout`, above).
+## Padding (in inches) around axes; defaults to 3/72 inches, i.e. 3 points.
+#figure.constrained_layout.h_pad:  0.04167
+#figure.constrained_layout.w_pad:  0.04167
+## Spacing between subplots, relative to the subplot sizes.  Much smaller than for
+## tight_layout (figure.subplot.hspace, figure.subplot.wspace) as constrained_layout
+## already takes surrounding texts (titles, labels, # ticklabels) into account.
+#figure.constrained_layout.hspace: 0.02
+#figure.constrained_layout.wspace: 0.02
+
+
+## ***************************************************************************
+## * IMAGES                                                                  *
+## ***************************************************************************
+#image.aspect:          equal        # {equal, auto} or a number
+#image.interpolation:   auto         # see help(imshow) for options
+#image.interpolation_stage: auto     # see help(imshow) for options
+#image.cmap:            viridis      # A colormap name (plasma, magma, etc.)
+#image.lut:             256          # the size of the colormap lookup table
+#image.origin:          upper        # {lower, upper}
+#image.resample:        True
+#image.composite_image: True  # When True, all the images on a set of axes are
+                              # combined into a single composite image before
+                              # saving a figure as a vector graphics file,
+                              # such as a PDF.
+
+
+## ***************************************************************************
+## * CONTOUR PLOTS                                                           *
+## ***************************************************************************
+#contour.negative_linestyle: dashed  # string or on-off ink sequence
+#contour.corner_mask:        True    # {True, False}
+#contour.linewidth:          None    # {float, None} Size of the contour line
+                                     # widths. If set to None, it falls back to
+                                     # `line.linewidth`.
+#contour.algorithm:          mpl2014 # {mpl2005, mpl2014, serial, threaded}
+
+
+## ***************************************************************************
+## * ERRORBAR PLOTS                                                          *
+## ***************************************************************************
+#errorbar.capsize: 0  # length of end cap on error bars in pixels
+
+
+## ***************************************************************************
+## * HISTOGRAM PLOTS                                                         *
+## ***************************************************************************
+#hist.bins: 10  # The default number of histogram bins or 'auto'.
+
+
+## ***************************************************************************
+## * SCATTER PLOTS                                                           *
+## ***************************************************************************
+#scatter.marker: o         # The default marker type for scatter plots.
+#scatter.edgecolors: face  # The default edge colors for scatter plots.
+
+
+## ***************************************************************************
+## * AGG RENDERING                                                           *
+## ***************************************************************************
+## Warning: experimental, 2008/10/10
+#agg.path.chunksize: 0  # 0 to disable; values in the range
+                        # 10000 to 100000 can improve speed slightly
+                        # and prevent an Agg rendering failure
+                        # when plotting very large data sets,
+                        # especially if they are very gappy.
+                        # It may cause minor artifacts, though.
+                        # A value of 20000 is probably a good
+                        # starting point.
+
+
+## ***************************************************************************
+## * PATHS                                                                   *
+## ***************************************************************************
+#path.simplify: True  # When True, simplify paths by removing "invisible"
+                      # points to reduce file size and increase rendering
+                      # speed
+#path.simplify_threshold: 0.111111111111  # The threshold of similarity below
+                                          # which vertices will be removed in
+                                          # the simplification process.
+#path.snap: True  # When True, rectilinear axis-aligned paths will be snapped
+                  # to the nearest pixel when certain criteria are met.
+                  # When False, paths will never be snapped.
+#path.sketch: None  # May be None, or a tuple of the form:
+                    #  path.sketch: (scale, length, randomness)
+                    # - *scale* is the amplitude of the wiggle
+                    #    perpendicular to the line (in pixels).
+                    # - *length* is the length of the wiggle along the
+                    #    line (in pixels).
+                    # - *randomness* is the factor by which the length is
+                    #    randomly scaled.
+#path.effects:
+
+
+## ***************************************************************************
+## * SAVING FIGURES                                                          *
+## ***************************************************************************
+## The default savefig parameters can be different from the display parameters
+## e.g., you may want a higher resolution, or to make the figure
+## background white
+#savefig.dpi:       figure      # figure dots per inch or 'figure'
+#savefig.facecolor: auto        # figure face color when saving
+#savefig.edgecolor: auto        # figure edge color when saving
+#savefig.format:    png         # {png, ps, pdf, svg}
+#savefig.bbox:      standard    # {tight, standard}
+                                # 'tight' is incompatible with generating frames
+                                # for animation
+#savefig.pad_inches:  0.1       # padding to be used, when bbox is set to 'tight'
+#savefig.directory:   ~         # default directory in savefig dialog, gets updated after
+                                # interactive saves, unless set to the empty string (i.e.
+                                # the current directory); use '.' to start at the current
+                                # directory but update after interactive saves
+#savefig.transparent: False     # whether figures are saved with a transparent
+                                # background by default
+#savefig.orientation: portrait  # orientation of saved figure, for PostScript output only
+
+### macosx backend params
+#macosx.window_mode : system   # How to open new figures (system, tab, window)
+                               # system uses the MacOS system preferences
+
+### tk backend params
+#tk.window_focus:   False  # Maintain shell focus for TkAgg
+
+### ps backend params
+#ps.papersize:      letter  # {figure, letter, legal, ledger, A0-A10, B0-B10}
+#ps.useafm:         False   # use AFM fonts, results in small files
+#ps.usedistiller:   False   # {ghostscript, xpdf, None}
+                            # Experimental: may produce smaller files.
+                            # xpdf intended for production of publication quality files,
+                            # but requires ghostscript, xpdf and ps2eps
+#ps.distiller.res:  6000    # dpi
+#ps.fonttype:       3       # Output Type 3 (Type3) or Type 42 (TrueType)
+
+### PDF backend params
+#pdf.compression:    6  # integer from 0 to 9
+                        # 0 disables compression (good for debugging)
+#pdf.fonttype:       3  # Output Type 3 (Type3) or Type 42 (TrueType)
+#pdf.use14corefonts: False
+#pdf.inheritcolor:   False
+
+### SVG backend params
+#svg.image_inline: True  # Write raster image data directly into the SVG file
+#svg.fonttype: path      # How to handle SVG fonts:
+                         #     path: Embed characters as paths -- supported
+                         #           by most SVG renderers
+                         #     None: Assume fonts are installed on the
+                         #           machine where the SVG will be viewed.
+#svg.hashsalt: None      # If not None, use this string as hash salt instead of uuid4
+#svg.id: None            # If not None, use this string as the value for the `id`
+                         # attribute in the top <svg> tag
+
+### pgf parameter
+## See https://matplotlib.org/stable/tutorials/text/pgf.html for more information.
+#pgf.rcfonts: True
+#pgf.preamble:  # See text.latex.preamble for documentation
+#pgf.texsystem: xelatex
+
+### docstring params
+#docstring.hardcopy: False  # set this when you want to generate hardcopy docstring
+
+
+## ***************************************************************************
+## * INTERACTIVE KEYMAPS                                                     *
+## ***************************************************************************
+## Event keys to interact with figures/plots via keyboard.
+## See https://matplotlib.org/stable/users/explain/interactive.html for more
+## details on interactive navigation.  Customize these settings according to
+## your needs. Leave the field(s) empty if you don't need a key-map. (i.e.,
+## fullscreen : '')
+#keymap.fullscreen: f, ctrl+f   # toggling
+#keymap.home: h, r, home        # home or reset mnemonic
+#keymap.back: left, c, backspace, MouseButton.BACK  # forward / backward keys
+#keymap.forward: right, v, MouseButton.FORWARD      # for quick navigation
+#keymap.pan: p                  # pan mnemonic
+#keymap.zoom: o                 # zoom mnemonic
+#keymap.save: s, ctrl+s         # saving current figure
+#keymap.help: f1                # display help about active tools
+#keymap.quit: ctrl+w, cmd+w, q  # close the current figure
+#keymap.quit_all:               # close all figures
+#keymap.grid: g                 # switching on/off major grids in current axes
+#keymap.grid_minor: G           # switching on/off minor grids in current axes
+#keymap.yscale: l               # toggle scaling of y-axes ('log'/'linear')
+#keymap.xscale: k, L            # toggle scaling of x-axes ('log'/'linear')
+#keymap.copy: ctrl+c, cmd+c     # copy figure to clipboard
+
+
+## ***************************************************************************
+## * ANIMATION                                                               *
+## ***************************************************************************
+#animation.html: none  # How to display the animation as HTML in
+                       # the IPython notebook:
+                       #     - 'html5' uses HTML5 video tag
+                       #     - 'jshtml' creates a JavaScript animation
+#animation.writer:  ffmpeg        # MovieWriter 'backend' to use
+#animation.codec:   h264          # Codec to use for writing movie
+#animation.bitrate: -1            # Controls size/quality trade-off for movie.
+                                  # -1 implies let utility auto-determine
+#animation.frame_format: png      # Controls frame format used by temp files
+
+## Path to ffmpeg binary.  Unqualified paths are resolved by subprocess.Popen.
+#animation.ffmpeg_path:  ffmpeg
+## Additional arguments to pass to ffmpeg.
+#animation.ffmpeg_args:
+
+## Path to ImageMagick's convert binary.  Unqualified paths are resolved by
+## subprocess.Popen, except that on Windows, we look up an install of
+## ImageMagick in the registry (as convert is also the name of a system tool).
+#animation.convert_path: convert
+## Additional arguments to pass to convert.
+#animation.convert_args: -layers, OptimizePlus
+#
+#animation.embed_limit:  20.0     # Limit, in MB, of size of base64 encoded
+                                  # animation in HTML (i.e. IPython notebook)
diff --git a/lib/matplotlib/mpl-data/meson.build b/lib/matplotlib/mpl-data/meson.build
new file mode 100644
index 000000000000..00a825fbbbea
--- /dev/null
+++ b/lib/matplotlib/mpl-data/meson.build
@@ -0,0 +1,24 @@
+custom_target('matplotlibrc',
+  command: [
+    find_program(meson.project_source_root() / 'tools/generate_matplotlibrc.py'),
+    '@INPUT@',
+    '@OUTPUT@',
+    get_option('rcParams-backend')
+  ],
+  input: 'matplotlibrc',
+  output: 'matplotlibrc',
+  install: true,
+  install_tag: 'data',
+  install_dir: py3.get_install_dir(subdir: 'matplotlib/mpl-data'))
+
+install_data(
+  'kpsewhich.lua',
+  install_tag: 'data',
+  install_dir: py3.get_install_dir(subdir: 'matplotlib/mpl-data'))
+
+foreach dir : ['fonts', 'images', 'plot_directive', 'sample_data', 'stylelib']
+  install_subdir(
+    dir,
+    install_tag: 'data',
+    install_dir: py3.get_install_dir(subdir: 'matplotlib/mpl-data'))
+endforeach
diff --git a/lib/matplotlib/mpl-data/plot_directive/plot_directive.css b/lib/matplotlib/mpl-data/plot_directive/plot_directive.css
new file mode 100644
index 000000000000..d45593c93c95
--- /dev/null
+++ b/lib/matplotlib/mpl-data/plot_directive/plot_directive.css
@@ -0,0 +1,16 @@
+/*
+ * plot_directive.css
+ * ~~~~~~~~~~~~
+ *
+ * Stylesheet controlling images created using the `plot` directive within
+ * Sphinx.
+ *
+ * :copyright: Copyright 2020-* by the Matplotlib development team.
+ * :license: Matplotlib, see LICENSE for details.
+ *
+ */
+
+img.plot-directive {
+    border: 0;
+    max-width: 100%;
+}
diff --git a/lib/matplotlib/mpl-data/sample_data/AAPL.dat.gz b/lib/matplotlib/mpl-data/sample_data/AAPL.dat.gz
deleted file mode 100644
index e39027b9067e..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/AAPL.dat.gz and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/INTC.dat.gz b/lib/matplotlib/mpl-data/sample_data/INTC.dat.gz
deleted file mode 100644
index a5a8f5907ccd..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/INTC.dat.gz and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/None_vs_nearest-pdf.png b/lib/matplotlib/mpl-data/sample_data/None_vs_nearest-pdf.png
deleted file mode 100644
index b8ae896301ec..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/None_vs_nearest-pdf.png and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/Stocks.csv b/lib/matplotlib/mpl-data/sample_data/Stocks.csv
new file mode 100644
index 000000000000..575d353dffe2
--- /dev/null
+++ b/lib/matplotlib/mpl-data/sample_data/Stocks.csv
@@ -0,0 +1,526 @@
+# Data source: https://finance.yahoo.com
+Date,IBM,AAPL,MSFT,XRX,AMZN,DELL,GOOGL,ADBE,^GSPC,^IXIC
+1990-01-01,10.970438003540039,0.24251236021518707,0.40375930070877075,11.202081680297852,,,,1.379060983657837,329.0799865722656,415.79998779296875
+1990-02-01,11.554415702819824,0.24251236021518707,0.43104037642478943,10.39472484588623,,,,1.7790844440460205,331.8900146484375,425.79998779296875
+1990-02-05,,,,,,,,,,
+1990-03-01,11.951693534851074,0.28801724314689636,0.4834197461605072,11.394058227539062,,,,2.2348830699920654,339.94000244140625,435.5
+1990-04-01,12.275476455688477,0.2817564308643341,0.5063362717628479,10.139430046081543,,,,2.2531447410583496,330.79998779296875,420.1000061035156
+1990-05-01,13.514284133911133,0.295173317193985,0.6372847557067871,9.704153060913086,,,,2.0985164642333984,361.2300109863281,459.0
+1990-05-04,,,,,,,,,,
+1990-06-01,13.380948066711426,0.3211067020893097,0.6634747385978699,9.749448776245117,,,,2.164785146713257,358.0199890136719,462.29998779296875
+1990-07-01,12.697657585144043,0.3013734817504883,0.5805402994155884,9.489465713500977,,,,2.069063901901245,356.1499938964844,438.20001220703125
+1990-08-01,11.601561546325684,0.26549553871154785,0.5368908047676086,8.553519248962402,,,,1.4750508069992065,322.55999755859375,381.20001220703125
+1990-08-06,,,,,,,,,,
+1990-09-01,12.251119613647461,0.20872052013874054,0.5499854683876038,7.255113124847412,,,,1.1210384368896484,306.04998779296875,344.5
+1990-10-01,12.15034294128418,0.22131578624248505,0.5565334558486938,6.248927116394043,,,,1.416249394416809,304.0,329.79998779296875
+1990-11-01,13.08609390258789,0.26449888944625854,0.6307373642921448,7.361023426055908,,,,1.4900128841400146,322.2200012207031,359.1000061035156
+1990-11-05,,,,,,,,,,
+1990-12-01,13.161062240600586,0.31051647663116455,0.6569272875785828,7.519896507263184,,,,1.7186784744262695,330.2200012207031,373.79998779296875
+1991-01-01,14.762505531311035,0.40078282356262207,0.8566243648529053,10.554410934448242,,,,2.242394208908081,343.92999267578125,414.20001220703125
+1991-02-01,14.995450973510742,0.4134202301502228,0.9057300686836243,12.286416053771973,,,,2.8402483463287354,367.07000732421875,453.1000061035156
+1991-02-04,,,,,,,,,,
+1991-03-01,13.39067268371582,0.49208223819732666,0.92646324634552,12.511940002441406,,,,3.1869795322418213,375.2200012207031,482.29998779296875
+1991-04-01,12.111870765686035,0.39800751209259033,0.8642628788948059,12.511940002441406,,,,3.0589873790740967,375.3399963378906,484.7200012207031
+1991-05-01,12.479341506958008,0.34011581540107727,0.9581103920936584,12.73144817352295,,,,2.9850986003875732,389.8299865722656,506.1099853515625
+1991-05-06,,,,,,,,,,
+1991-06-01,11.555957794189453,0.30108359456062317,0.89208984375,11.853414535522461,,,,2.5565452575683594,371.1600036621094,475.9200134277344
+1991-07-01,12.04675579071045,0.33554431796073914,0.9624748229980469,12.397871017456055,,,,3.1678967475891113,387.80999755859375,502.0400085449219
+1991-08-01,11.526222229003906,0.3845158815383911,1.1163398027420044,13.037229537963867,,,,3.012463331222534,395.42999267578125,525.6799926757812
+1991-08-06,,,,,,,,,,
+1991-09-01,12.478833198547363,0.3599340617656708,1.1654454469680786,13.740047454833984,,,,3.0346662998199463,387.8599853515625,526.8800048828125
+1991-10-01,11.83155345916748,0.37447676062583923,1.2292828559875488,14.41578483581543,,,,3.1431360244750977,392.45001220703125,542.97998046875
+1991-11-01,11.139124870300293,0.36902356147766113,1.2734787464141846,13.965290069580078,,,,2.846613883972168,375.2200012207031,523.9000244140625
+1991-11-04,,,,,,,,,,
+1991-12-01,10.851117134094238,0.4109107553958893,1.4568067789077759,15.42939281463623,,,,3.8844411373138428,417.0899963378906,586.3400268554688
+1992-01-01,10.973037719726562,0.4719553291797638,1.5746610164642334,17.584869384765625,,,,3.639812469482422,408.7799987792969,620.2100219726562
+1992-02-01,10.592026710510254,0.49199995398521423,1.61721932888031,18.04088020324707,,,,3.3547844886779785,412.70001220703125,633.469970703125
+1992-02-06,,,,,,,,,,
+1992-03-01,10.317353248596191,0.4253714978694916,1.5517452955245972,16.302349090576172,,,,3.043056011199951,403.69000244140625,603.77001953125
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diff --git a/lib/matplotlib/mpl-data/sample_data/aapl.csv b/lib/matplotlib/mpl-data/sample_data/aapl.csv
deleted file mode 100644
index c1b64b557bba..000000000000
--- a/lib/matplotlib/mpl-data/sample_data/aapl.csv
+++ /dev/null
@@ -1,6082 +0,0 @@
-Date,Open,High,Low,Close,Volume,Adj Close
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-2005-11-23,66.88,67.98,66.69,67.11,17351900,67.11
-2005-11-22,64.84,66.76,64.52,66.52,19295800,66.52
-2005-11-21,64.82,65.19,63.72,64.96,18275400,64.96
-2005-11-18,65.31,65.43,64.37,64.56,18748700,64.56
-2005-11-17,65.59,65.88,64.25,64.52,24150200,64.52
-2005-11-16,63.15,65.06,63.09,64.95,28018400,64.95
-2005-11-15,61.60,63.08,61.46,62.28,19172900,62.28
-2005-11-14,61.54,61.98,60.91,61.45,13211900,61.45
-2005-11-11,61.54,62.11,61.34,61.54,15194600,61.54
-2005-11-10,60.64,61.20,59.01,61.18,23762300,61.18
-2005-11-09,60.00,61.21,60.00,60.11,19747500,60.11
-2005-11-08,59.95,60.38,59.10,59.90,16920200,59.90
-2005-11-07,60.85,61.67,60.14,60.23,22815400,60.23
-2005-11-04,60.35,61.24,59.62,61.15,31358400,61.15
-2005-11-03,60.26,62.32,60.07,61.85,31585100,61.85
-2005-11-02,57.72,60.00,57.60,59.95,30609300,59.95
-2005-11-01,57.24,58.14,56.87,57.50,26774500,57.50
-2005-10-31,55.20,57.98,54.75,57.59,33601600,57.59
-2005-10-28,56.04,56.43,54.17,54.47,27492400,54.47
-2005-10-27,56.99,57.01,55.41,55.41,14697900,55.41
-2005-10-26,56.28,57.56,55.92,57.03,22556900,57.03
-2005-10-25,56.40,56.85,55.69,56.10,16611700,56.10
-2005-10-24,55.25,56.79,55.09,56.79,21776900,56.79
-2005-10-21,56.84,56.98,55.36,55.66,28454500,55.66
-2005-10-20,54.47,56.50,54.35,56.14,48491500,56.14
-2005-10-19,52.07,54.96,51.21,54.94,36024400,54.94
-2005-10-18,53.25,53.95,52.20,52.21,21771000,52.21
-2005-10-17,53.98,54.23,52.68,53.44,22029800,53.44
-2005-10-14,54.03,54.35,52.79,54.00,36984000,54.00
-2005-10-13,49.44,53.95,49.27,53.74,66627700,53.74
-2005-10-12,48.65,50.30,47.87,49.25,96338800,49.25
-2005-10-11,51.23,51.87,50.40,51.59,43781600,51.59
-2005-10-10,51.76,51.91,50.28,50.37,18125200,50.37
-2005-10-07,51.72,51.93,50.55,51.30,24210100,51.30
-2005-10-06,53.20,53.49,50.87,51.70,27054900,51.70
-2005-10-05,54.33,54.36,52.75,52.78,21813200,52.78
-2005-10-04,54.95,55.35,53.64,53.75,19266400,53.75
-2005-10-03,54.16,54.54,53.68,54.44,18126900,54.44
-2005-09-30,52.33,53.65,51.88,53.61,18986900,53.61
-2005-09-29,51.23,52.59,50.81,52.34,22744500,52.34
-2005-09-28,53.07,53.11,50.59,51.08,40198000,51.08
-2005-09-27,53.92,54.24,53.43,53.44,12203700,53.44
-2005-09-26,54.03,54.56,53.32,53.84,19520100,53.84
-2005-09-23,52.10,53.50,51.84,53.20,19944900,53.20
-2005-09-22,51.88,52.47,51.32,51.90,16561700,51.90
-2005-09-21,52.96,53.05,51.86,52.11,15526700,52.11
-2005-09-20,52.99,53.81,52.92,53.19,29279600,53.19
-2005-09-19,51.05,52.89,51.05,52.64,27990400,52.64
-2005-09-16,50.23,51.21,49.95,51.21,21107300,51.21
-2005-09-15,50.00,50.18,49.33,49.87,14827000,49.87
-2005-09-14,51.06,51.19,49.46,49.61,16943800,49.61
-2005-09-13,51.02,51.29,50.32,50.82,17603000,50.82
-2005-09-12,51.10,51.63,50.58,51.40,16171300,51.40
-2005-09-09,50.07,51.35,49.79,51.31,21987200,51.31
-2005-09-08,49.35,50.12,49.14,49.78,25094300,49.78
-2005-09-07,49.05,49.40,47.92,48.68,34395500,48.68
-2005-09-06,46.70,48.88,46.55,48.80,29236400,48.80
-2005-09-02,46.30,46.80,46.12,46.22,7942100,46.22
-2005-09-01,47.00,47.17,46.09,46.26,12727400,46.26
-2005-08-31,46.86,47.03,46.27,46.89,14391300,46.89
-2005-08-30,45.99,46.79,45.92,46.57,18527200,46.57
-2005-08-29,45.27,46.03,45.26,45.84,9153400,45.84
-2005-08-26,46.12,46.34,45.36,45.74,9323500,45.74
-2005-08-25,46.12,46.49,45.81,46.06,9866200,46.06
-2005-08-24,45.60,47.12,45.59,45.77,20431100,45.77
-2005-08-23,45.85,46.10,45.32,45.74,10557300,45.74
-2005-08-22,46.15,46.75,45.26,45.87,13847600,45.87
-2005-08-19,46.28,46.70,45.77,45.83,13448900,45.83
-2005-08-18,46.91,47.00,45.75,46.30,15805700,46.30
-2005-08-17,46.40,47.44,46.37,47.15,17847300,47.15
-2005-08-16,47.39,47.50,46.21,46.25,19200800,46.25
-2005-08-15,46.48,48.33,46.45,47.68,38811700,47.68
-2005-08-12,43.46,46.22,43.36,46.10,32715600,46.10
-2005-08-11,43.39,44.12,43.25,44.00,9713700,44.00
-2005-08-10,44.00,44.39,43.31,43.38,12890900,43.38
-2005-08-09,42.93,43.89,42.91,43.82,13601400,43.82
-2005-08-08,43.00,43.25,42.61,42.65,6299400,42.65
-2005-08-05,42.49,43.36,42.02,42.99,8640400,42.99
-2005-08-04,42.89,43.00,42.29,42.71,9618000,42.71
-2005-08-03,43.19,43.31,42.77,43.22,9225800,43.22
-2005-08-02,42.89,43.50,42.61,43.19,10602700,43.19
-2005-08-01,42.57,43.08,42.08,42.75,11223200,42.75
-2005-07-29,43.56,44.38,42.26,42.65,20074300,42.65
-2005-07-28,43.85,44.00,43.30,43.80,8975400,43.80
-2005-07-27,43.83,44.07,42.67,43.99,10133900,43.99
-2005-07-26,44.01,44.11,43.36,43.63,9592600,43.63
-2005-07-25,43.99,44.28,43.73,43.81,10522400,43.81
-2005-07-22,43.44,44.00,43.39,44.00,10753800,44.00
-2005-07-21,43.70,44.04,42.90,43.29,14438000,43.29
-2005-07-20,42.86,43.80,42.65,43.63,16192700,43.63
-2005-07-19,41.52,43.23,41.07,43.19,23966500,43.19
-2005-07-18,41.41,42.10,41.37,41.49,20939200,41.49
-2005-07-15,40.97,41.57,40.46,41.55,24560100,41.55
-2005-07-14,40.79,42.01,40.23,40.75,74859300,40.75
-2005-07-13,38.29,38.50,37.90,38.35,24458400,38.35
-2005-07-12,38.23,38.40,37.91,38.24,13822800,38.24
-2005-07-11,38.37,38.65,37.78,38.10,13885300,38.10
-2005-07-08,37.87,38.28,37.47,38.25,10383400,38.25
-2005-07-07,36.81,37.76,36.80,37.63,13704400,37.63
-2005-07-06,37.71,38.16,37.20,37.39,14093800,37.39
-2005-07-05,36.55,38.15,36.50,37.98,16223900,37.98
-2005-07-01,36.83,36.97,36.29,36.50,8928600,36.50
-2005-06-30,36.61,37.16,36.31,36.81,14942500,36.81
-2005-06-29,37.23,37.29,36.12,36.37,16012800,36.37
-2005-06-28,37.49,37.59,37.17,37.31,12510700,37.31
-2005-06-27,36.84,38.10,36.68,37.10,21434700,37.10
-2005-06-24,39.09,39.12,37.68,37.76,14668200,37.76
-2005-06-23,38.83,39.78,38.65,38.89,24080500,38.89
-2005-06-22,38.26,38.60,38.14,38.55,15175900,38.55
-2005-06-21,37.72,38.19,37.38,37.86,13233100,37.86
-2005-06-20,37.85,38.09,37.45,37.61,11561300,37.61
-2005-06-17,38.47,38.54,37.83,38.31,21290200,38.31
-2005-06-16,37.19,38.08,36.82,37.98,19559800,37.98
-2005-06-15,36.87,37.30,36.30,37.13,20119400,37.13
-2005-06-14,35.92,36.15,35.75,36.00,12423100,36.00
-2005-06-13,35.89,36.61,35.82,35.90,15563300,35.90
-2005-06-10,37.40,37.40,35.52,35.81,24247600,35.81
-2005-06-09,37.00,37.94,36.82,37.65,13937700,37.65
-2005-06-08,36.63,37.25,36.57,36.92,14428800,36.92
-2005-06-07,37.60,37.73,36.45,36.54,26616600,36.54
-2005-06-06,38.33,38.63,37.56,37.92,28998800,37.92
-2005-06-03,38.16,38.58,37.77,38.24,34173900,38.24
-2005-06-02,40.05,40.32,39.60,40.04,13356200,40.04
-2005-06-01,39.89,40.76,39.86,40.30,16207600,40.30
-2005-05-31,40.66,40.74,39.58,39.76,14435900,39.76
-2005-05-27,40.64,40.79,40.01,40.56,11286000,40.56
-2005-05-26,39.94,40.94,39.94,40.74,18768600,40.74
-2005-05-25,39.50,39.95,39.32,39.78,14143100,39.78
-2005-05-24,39.45,39.99,39.03,39.70,21195000,39.70
-2005-05-23,37.85,39.90,37.85,39.76,37234800,39.76
-2005-05-20,37.25,37.65,37.19,37.55,16166100,37.55
-2005-05-19,35.78,37.68,35.78,37.55,28327200,37.55
-2005-05-18,35.45,37.56,34.99,35.84,22740100,35.84
-2005-05-17,35.14,35.46,34.54,35.36,21012300,35.36
-2005-05-16,34.56,35.70,34.53,35.55,16939100,35.55
-2005-05-13,34.20,35.23,34.07,34.77,25096900,34.77
-2005-05-12,35.42,35.59,34.00,34.13,34651500,34.13
-2005-05-11,35.20,35.67,33.11,35.61,72927900,35.61
-2005-05-10,36.75,37.25,36.33,36.42,15723700,36.42
-2005-05-09,37.28,37.45,36.75,36.97,12703400,36.97
-2005-05-06,36.89,37.33,36.79,37.24,11651700,37.24
-2005-05-05,37.25,37.27,36.47,36.68,13834500,36.68
-2005-05-04,36.11,37.20,36.10,37.15,16006300,37.15
-2005-05-03,36.40,36.74,36.03,36.21,17740700,36.21
-2005-05-02,36.21,36.65,36.02,36.43,16640000,36.43
-2005-04-29,36.15,36.23,35.22,36.06,23986800,36.06
-2005-04-28,36.29,36.34,35.24,35.54,20539500,35.54
-2005-04-27,35.89,36.36,35.51,35.95,21924600,35.95
-2005-04-26,36.78,37.51,36.12,36.19,28946700,36.19
-2005-04-25,36.49,37.02,36.11,36.98,26659300,36.98
-2005-04-22,36.84,37.00,34.90,35.50,29968900,35.50
-2005-04-21,36.40,37.21,35.90,37.18,27128300,37.18
-2005-04-20,37.66,37.74,35.44,35.51,33754700,35.51
-2005-04-19,36.60,37.44,35.87,37.09,38630100,37.09
-2005-04-18,35.00,36.30,34.00,35.62,47399200,35.62
-2005-04-15,36.62,37.25,35.28,35.35,61717400,35.35
-2005-04-14,38.81,39.56,36.84,37.26,98328300,37.26
-2005-04-13,42.95,42.99,40.39,41.04,48998100,41.04
-2005-04-12,42.49,43.19,42.01,42.66,35037900,42.66
-2005-04-11,44.15,44.25,41.91,41.92,29345100,41.92
-2005-04-08,43.70,44.45,43.54,43.74,23212500,43.74
-2005-04-07,42.33,43.75,42.25,43.56,18106700,43.56
-2005-04-06,42.40,42.81,42.15,42.33,14815200,42.33
-2005-04-05,41.22,42.24,41.09,41.89,19865700,41.89
-2005-04-04,40.99,41.31,40.16,41.09,20714800,41.09
-2005-04-01,42.09,42.18,40.57,40.89,22903000,40.89
-2005-03-31,42.45,42.52,41.59,41.67,22719100,41.67
-2005-03-30,42.07,42.80,41.82,42.80,14105700,42.80
-2005-03-29,42.56,42.83,41.50,41.75,16477000,41.75
-2005-03-28,42.75,42.96,42.47,42.53,9836100,42.53
-2005-03-24,42.91,43.00,42.50,42.50,12596600,42.50
-2005-03-23,42.45,43.40,42.02,42.55,21779400,42.55
-2005-03-22,43.71,43.96,42.68,42.83,19693400,42.83
-2005-03-21,43.29,43.97,42.86,43.70,19326000,43.70
-2005-03-18,43.33,43.44,42.50,42.96,33576800,42.96
-2005-03-17,41.53,42.88,41.32,42.25,28640000,42.25
-2005-03-16,41.21,42.31,40.78,41.18,24921900,41.18
-2005-03-15,40.64,41.14,40.25,40.96,18164600,40.96
-2005-03-14,40.52,40.79,39.52,40.32,21620900,40.32
-2005-03-11,40.21,40.59,39.80,40.27,22601100,40.27
-2005-03-10,39.53,40.26,39.10,39.83,27753900,39.83
-2005-03-09,39.64,40.28,38.83,39.35,47230900,39.35
-2005-03-08,41.90,42.16,40.10,40.53,36480400,40.53
-2005-03-07,42.80,43.25,42.35,42.75,16094000,42.75
-2005-03-04,42.76,43.01,41.85,42.81,27022100,42.81
-2005-03-03,44.37,44.41,41.22,41.79,50416200,41.79
-2005-03-02,44.25,44.89,44.08,44.12,16362900,44.12
-2005-03-01,44.99,45.11,44.16,44.50,16721000,44.50
-2005-02-28,44.68,45.14,43.96,44.86,23271800,44.86
-2005-02-25,89.62,89.91,88.19,88.99,32696800,44.49
-2005-02-24,88.48,89.31,87.73,88.93,54251000,44.47
-2005-02-23,86.72,88.45,85.55,88.23,48042200,44.12
-2005-02-22,86.30,88.30,85.29,85.29,43546200,42.65
-2005-02-18,87.74,87.86,86.25,86.81,41544800,43.40
-2005-02-17,90.65,90.88,87.45,87.81,54231200,43.90
-2005-02-16,88.15,90.20,87.35,90.13,58544400,45.06
-2005-02-15,86.66,89.08,86.00,88.41,82579200,44.21
-2005-02-14,82.73,84.79,82.05,84.63,45409400,42.31
-2005-02-11,79.86,81.76,78.94,81.21,42894800,40.60
-2005-02-10,78.72,79.28,76.66,78.36,39036400,39.18
-2005-02-09,81.04,81.99,78.10,78.74,42552000,39.37
-2005-02-08,79.07,81.38,78.79,80.90,31786400,40.45
-2005-02-07,78.93,79.35,77.50,78.94,18730600,39.47
-2005-02-04,77.87,78.93,77.53,78.84,20127000,39.42
-2005-02-03,79.10,79.43,77.33,77.81,26130400,38.90
-2005-02-02,77.95,79.91,77.69,79.63,36430800,39.81
-2005-02-01,77.05,77.77,76.58,77.53,24228400,38.76
-2005-01-31,74.58,77.89,74.51,76.90,60039200,38.45
-2005-01-28,72.62,73.98,72.44,73.98,28629000,36.99
-2005-01-27,72.16,72.92,71.55,72.64,17722400,36.32
-2005-01-26,72.66,72.75,71.22,72.25,26410600,36.12
-2005-01-25,71.37,72.84,70.94,72.05,34615400,36.03
-2005-01-24,70.98,71.78,70.55,70.76,30058200,35.38
-2005-01-21,71.31,71.60,70.00,70.49,32547600,35.24
-2005-01-20,69.65,71.27,69.47,70.46,32675800,35.23
-2005-01-19,70.49,71.46,69.75,69.88,26853400,34.94
-2005-01-18,69.85,70.70,67.75,70.65,35945000,35.33
-2005-01-14,70.25,71.72,69.19,70.20,63240800,35.10
-2005-01-13,73.71,74.42,69.73,69.80,113025600,34.90
-2005-01-12,65.45,65.90,63.30,65.46,68560800,32.73
-2005-01-11,68.25,69.15,64.14,64.56,93272400,32.28
-2005-01-10,69.83,70.70,67.88,68.96,61618200,34.48
-2005-01-07,65.00,69.63,64.75,69.25,79551800,34.62
-2005-01-06,64.67,64.91,63.33,64.55,25198400,32.28
-2005-01-05,64.46,65.25,64.05,64.50,24301200,32.25
-2005-01-04,63.79,65.47,62.97,63.94,39171800,31.97
-2005-01-03,64.78,65.11,62.60,63.29,24714000,31.65
-2004-12-31,64.89,65.00,64.03,64.40,9949600,32.20
-2004-12-30,64.81,65.03,64.22,64.80,12333600,32.40
-2004-12-29,63.81,64.98,63.57,64.44,16055800,32.22
-2004-12-28,63.30,64.25,62.05,64.18,21848400,32.09
-2004-12-27,64.80,65.15,62.88,63.16,19981800,31.58
-2004-12-23,63.75,64.25,63.60,64.01,8783200,32.01
-2004-12-22,63.66,64.36,63.40,63.75,20208200,31.88
-2004-12-21,63.56,63.77,61.60,63.69,38014800,31.84
-2004-12-20,65.47,66.00,61.76,62.72,41718800,31.36
-2004-12-17,66.84,67.04,64.90,64.99,27982000,32.49
-2004-12-16,66.15,67.50,66.05,66.60,40218400,33.30
-2004-12-15,65.24,65.46,64.66,65.26,14227200,32.63
-2004-12-14,65.40,65.88,65.02,65.29,14847200,32.65
-2004-12-13,65.62,65.90,64.60,64.91,14108600,32.46
-2004-12-10,65.03,66.05,64.70,65.15,27706200,32.58
-2004-12-09,62.81,64.40,62.07,63.99,26482200,32.00
-2004-12-08,63.08,64.43,62.05,63.28,24710800,31.64
-2004-12-07,65.93,66.73,62.56,62.89,37746400,31.44
-2004-12-06,64.25,66.24,62.95,65.78,44568600,32.89
-2004-12-03,64.53,65.00,61.75,62.68,44244600,31.34
-2004-12-02,66.13,66.90,64.66,65.21,35265800,32.60
-2004-12-01,67.79,67.95,66.27,67.79,28591200,33.90
-2004-11-30,68.79,68.79,67.05,67.05,36732800,33.53
-2004-11-29,68.95,69.57,67.41,68.44,61175600,34.22
-2004-11-26,65.35,65.76,64.34,64.55,19648000,32.28
-2004-11-24,61.69,65.20,61.55,64.05,49671000,32.03
-2004-11-23,62.30,62.45,61.05,61.27,32551800,30.64
-2004-11-22,61.80,64.00,57.90,61.35,91721800,30.67
-2004-11-19,55.49,56.91,54.50,55.17,27331400,27.58
-2004-11-18,54.30,55.45,54.29,55.39,16398200,27.69
-2004-11-17,55.19,55.45,54.22,54.90,14205400,27.45
-2004-11-16,55.16,55.20,54.48,54.94,10539400,27.47
-2004-11-15,55.20,55.46,54.34,55.24,13430200,27.62
-2004-11-12,55.01,55.69,54.84,55.50,14132200,27.75
-2004-11-11,54.95,55.43,54.23,55.30,14546400,27.65
-2004-11-10,53.95,55.39,53.91,54.75,18167000,27.38
-2004-11-09,54.23,54.55,53.38,54.05,16991600,27.02
-2004-11-08,54.27,55.45,53.86,54.38,18818600,27.19
-2004-11-05,54.86,55.00,52.04,54.72,43037400,27.36
-2004-11-04,55.03,55.55,54.37,54.45,33165200,27.23
-2004-11-03,54.37,56.11,53.99,55.31,43006200,27.66
-2004-11-02,52.40,54.08,52.40,53.50,26071000,26.75
-2004-11-01,52.50,53.26,52.04,52.45,21501800,26.23
-2004-10-29,51.84,53.20,51.80,52.40,28936400,26.20
-2004-10-28,49.98,52.22,49.50,52.19,30866600,26.09
-2004-10-27,48.51,50.62,48.17,50.30,42624800,25.15
-2004-10-26,47.45,48.05,46.97,47.97,21227200,23.99
-2004-10-25,47.20,47.84,47.07,47.55,14023000,23.77
-2004-10-22,47.54,47.67,47.02,47.41,17252400,23.70
-2004-10-21,47.48,48.13,47.36,47.94,25875200,23.97
-2004-10-20,47.18,47.60,46.65,47.47,21611000,23.74
-2004-10-19,48.10,48.35,47.31,47.42,28642600,23.71
-2004-10-18,44.70,47.75,44.70,47.75,42884000,23.88
-2004-10-15,44.88,45.61,44.19,45.50,36826000,22.75
-2004-10-14,43.19,45.75,42.55,44.98,98872400,22.49
-2004-10-13,38.87,39.76,38.74,39.75,41536000,19.88
-2004-10-12,38.50,38.58,37.65,38.29,16435400,19.15
-2004-10-11,38.80,39.06,38.20,38.59,11566800,19.30
-2004-10-08,39.56,39.77,38.84,39.06,12829600,19.53
-2004-10-07,40.54,40.93,39.46,39.62,15219600,19.81
-2004-10-06,39.50,40.76,39.47,40.64,15939400,20.32
-2004-10-05,38.56,39.67,38.40,39.37,14505800,19.68
-2004-10-04,39.18,39.18,38.75,38.79,20503000,19.40
-2004-10-01,39.12,39.19,38.58,38.67,16621600,19.33
-2004-09-30,39.00,39.27,38.45,38.75,15179000,19.38
-2004-09-29,37.93,38.86,37.82,38.68,9768200,19.34
-2004-09-28,37.46,38.29,37.45,38.04,12613800,19.02
-2004-09-27,36.95,37.98,36.83,37.53,14197000,18.76
-2004-09-24,37.45,38.00,37.15,37.29,13196000,18.65
-2004-09-23,37.04,37.50,36.93,37.27,14193000,18.64
-2004-09-22,38.10,38.14,36.81,36.92,14346000,18.46
-2004-09-21,37.75,38.87,37.46,38.01,13809000,19.00
-2004-09-20,36.88,37.98,36.87,37.71,8750000,18.85
-2004-09-17,36.55,37.38,36.40,37.14,17939600,18.57
-2004-09-16,35.20,36.76,35.08,36.35,17925600,18.17
-2004-09-15,35.36,35.48,34.80,35.20,8309600,17.60
-2004-09-14,35.24,35.55,34.78,35.49,9100800,17.75
-2004-09-13,35.88,36.07,35.32,35.59,10070600,17.80
-2004-09-10,35.66,36.23,35.46,35.87,11714800,17.93
-2004-09-09,36.10,36.30,35.28,35.70,16476400,17.85
-2004-09-08,35.70,36.57,35.68,36.35,12268800,18.17
-2004-09-07,35.40,36.19,35.23,35.76,10784200,17.88
-2004-09-03,35.01,35.92,35.01,35.23,10481000,17.61
-2004-09-02,35.50,35.81,34.83,35.66,14511600,17.83
-2004-09-01,34.30,35.99,34.19,35.86,18418800,17.93
-2004-08-31,34.07,34.95,34.00,34.49,13448600,17.25
-2004-08-30,34.00,34.72,33.96,34.12,7790800,17.06
-2004-08-27,34.68,34.76,34.00,34.35,13886200,17.17
-2004-08-26,33.04,35.18,32.74,34.66,34137800,17.33
-2004-08-25,31.87,33.15,31.73,33.05,18057800,16.52
-2004-08-24,31.26,31.95,31.19,31.95,13362000,15.98
-2004-08-23,30.86,31.27,30.60,31.08,9095000,15.54
-2004-08-20,30.71,30.99,30.49,30.80,11313600,15.40
-2004-08-19,31.51,31.86,30.36,30.71,13890000,15.35
-2004-08-18,30.51,31.85,30.49,31.74,13023400,15.87
-2004-08-17,30.58,31.13,30.35,30.87,11536400,15.44
-2004-08-16,31.00,31.72,30.64,30.78,15559800,15.39
-2004-08-13,30.60,31.28,30.40,30.84,11716000,15.42
-2004-08-12,30.45,30.85,30.28,30.37,8078600,15.19
-2004-08-11,31.10,31.13,30.26,31.01,11514000,15.51
-2004-08-10,30.39,31.54,30.35,31.52,12537000,15.76
-2004-08-09,29.85,30.45,29.81,30.30,10387400,15.15
-2004-08-06,30.90,31.10,29.70,29.78,17581800,14.89
-2004-08-05,31.81,32.30,31.25,31.39,8732200,15.69
-2004-08-04,31.19,32.12,31.17,31.79,9874600,15.90
-2004-08-03,31.45,31.72,31.15,31.29,7558200,15.65
-2004-08-02,31.18,32.20,31.13,31.58,13039000,15.79
-2004-07-30,32.65,33.00,32.00,32.34,8679400,16.17
-2004-07-29,32.47,32.82,32.13,32.64,7934200,16.32
-2004-07-28,32.31,32.41,31.16,32.27,10180400,16.14
-2004-07-27,31.80,32.75,31.57,32.43,15178800,16.22
-2004-07-26,30.85,31.45,30.78,31.26,14069000,15.63
-2004-07-23,31.53,31.75,30.48,30.70,9770400,15.35
-2004-07-22,31.25,31.73,31.06,31.68,11932800,15.84
-2004-07-21,32.42,32.71,31.34,31.62,10759200,15.81
-2004-07-20,31.95,32.20,31.55,32.20,11562400,16.10
-2004-07-19,32.01,32.22,31.66,31.97,19041800,15.98
-2004-07-16,32.80,32.92,32.12,32.20,17442200,16.10
-2004-07-15,32.66,33.63,32.11,32.93,63133000,16.47
-2004-07-14,28.86,29.97,28.74,29.58,29850000,14.79
-2004-07-13,29.25,29.60,29.02,29.22,11292000,14.61
-2004-07-12,30.02,30.04,28.93,29.14,18272200,14.57
-2004-07-09,30.27,30.50,30.03,30.03,7459400,15.02
-2004-07-08,30.13,30.68,29.95,30.14,8335000,15.07
-2004-07-07,30.85,31.36,30.13,30.39,14214000,15.19
-2004-07-06,31.27,31.42,30.80,30.95,12463600,15.48
-2004-07-02,30.48,31.18,29.73,31.08,32524400,15.54
-2004-07-01,32.10,32.48,31.90,32.30,12212200,16.15
-2004-06-30,32.56,32.97,31.89,32.54,13323000,16.27
-2004-06-29,32.07,32.99,31.41,32.50,21091200,16.25
-2004-06-28,34.18,34.19,32.21,32.49,18610600,16.25
-2004-06-25,33.07,33.70,33.00,33.70,11551000,16.85
-2004-06-24,33.51,33.70,32.98,33.18,9018400,16.59
-2004-06-23,33.00,33.83,32.89,33.70,13959600,16.85
-2004-06-22,32.30,33.09,32.29,33.00,12875400,16.50
-2004-06-21,33.12,33.50,32.12,32.33,13936200,16.17
-2004-06-18,32.66,33.41,32.43,32.91,14509000,16.45
-2004-06-17,32.56,33.13,32.21,32.81,19690000,16.41
-2004-06-16,30.66,33.32,30.53,32.74,32487200,16.37
-2004-06-15,30.54,31.14,30.26,30.69,15879800,15.35
-2004-06-14,30.65,30.68,29.50,30.12,8713800,15.06
-2004-06-10,30.20,30.97,30.20,30.74,9199200,15.37
-2004-06-09,30.09,30.71,30.00,30.20,12471600,15.10
-2004-06-08,29.99,30.44,29.83,30.35,14843600,15.18
-2004-06-07,29.04,29.98,28.81,29.81,10567000,14.90
-2004-06-04,28.56,29.25,28.51,28.78,14254000,14.39
-2004-06-03,28.72,28.99,28.29,28.40,8961800,14.20
-2004-06-02,28.03,29.17,27.80,28.92,11382600,14.46
-2004-06-01,27.79,28.20,27.61,28.06,6504800,14.03
-2004-05-28,28.08,28.27,27.80,28.06,5204200,14.03
-2004-05-27,28.46,28.60,27.82,28.17,8427600,14.09
-2004-05-26,28.33,28.78,28.00,28.51,11506000,14.26
-2004-05-25,27.50,28.51,27.29,28.41,11427800,14.20
-2004-05-24,27.29,27.90,27.11,27.34,8414400,13.67
-2004-05-21,26.90,27.20,26.73,27.11,6424800,13.56
-2004-05-20,26.63,27.00,26.47,26.71,7010600,13.35
-2004-05-19,27.40,27.50,26.42,26.47,13414000,13.23
-2004-05-18,26.97,27.29,26.80,27.06,7359400,13.53
-2004-05-17,26.70,27.06,26.36,26.64,10730200,13.32
-2004-05-14,27.25,27.32,26.45,27.06,9207200,13.53
-2004-05-13,27.10,27.72,26.90,27.19,8209000,13.60
-2004-05-12,26.79,27.34,26.24,27.30,8765000,13.65
-2004-05-11,26.40,27.19,26.40,27.14,10899000,13.57
-2004-05-10,26.27,26.60,25.94,26.28,8927800,13.14
-2004-05-07,26.55,27.57,26.55,26.67,14965600,13.34
-2004-05-06,26.40,26.75,25.90,26.58,9412800,13.29
-2004-05-05,26.20,26.75,25.96,26.65,8503800,13.32
-2004-05-04,25.97,26.55,25.50,26.14,9999400,13.07
-2004-05-03,26.00,26.33,25.74,26.07,10629800,13.03
-2004-04-30,26.71,26.96,25.49,25.78,16660800,12.89
-2004-04-29,26.45,27.00,25.98,26.77,16456800,13.39
-2004-04-28,26.82,27.01,26.34,26.45,8256000,13.23
-2004-04-27,27.24,27.44,26.69,26.94,10138000,13.47
-2004-04-26,27.58,27.64,27.00,27.13,8254600,13.56
-2004-04-23,27.70,28.00,27.05,27.70,11279600,13.85
-2004-04-22,27.56,28.18,27.11,27.78,12306600,13.89
-2004-04-21,27.60,28.12,27.37,27.73,11638400,13.86
-2004-04-20,28.21,28.41,27.56,27.73,12661400,13.86
-2004-04-19,28.12,28.75,27.83,28.35,25441200,14.18
-2004-04-16,29.15,29.31,28.50,29.18,14390400,14.59
-2004-04-15,28.82,29.58,28.16,29.30,62908800,14.65
-2004-04-14,26.74,27.07,26.31,26.64,22847600,13.32
-2004-04-13,27.98,28.03,26.84,26.93,15585600,13.47
-2004-04-12,27.50,28.10,27.49,28.04,8233600,14.02
-2004-04-08,27.88,28.00,27.20,27.53,8604200,13.77
-2004-04-07,27.61,27.70,26.92,27.31,9111400,13.65
-2004-04-06,27.71,28.15,27.43,27.83,9214000,13.91
-2004-04-05,27.48,28.37,27.44,28.32,13774000,14.16
-2004-04-02,27.75,27.93,27.23,27.50,9802800,13.75
-2004-04-01,26.89,27.27,26.62,27.11,11369000,13.56
-2004-03-31,27.92,27.98,26.95,27.04,13956200,13.52
-2004-03-30,27.74,27.95,27.34,27.92,12845600,13.96
-2004-03-29,27.37,27.99,27.20,27.91,12526000,13.95
-2004-03-26,27.00,27.36,26.91,27.04,14996200,13.52
-2004-03-25,26.14,26.91,25.89,26.87,20230200,13.44
-2004-03-24,25.27,25.75,25.27,25.50,15293400,12.75
-2004-03-23,25.88,26.00,25.22,25.29,13768400,12.65
-2004-03-22,25.37,26.17,25.25,25.86,14965400,12.93
-2004-03-19,25.56,26.94,25.54,25.86,14592000,12.93
-2004-03-18,25.94,26.06,25.59,25.67,11467200,12.84
-2004-03-17,25.96,26.38,25.78,26.19,14694000,13.10
-2004-03-16,26.55,26.61,25.39,25.82,21622600,12.91
-2004-03-15,27.03,27.35,26.26,26.45,17204200,13.23
-2004-03-12,27.32,27.78,27.17,27.56,11758000,13.78
-2004-03-11,27.27,28.04,27.09,27.15,21280400,13.57
-2004-03-10,27.04,28.14,26.94,27.68,35963000,13.84
-2004-03-09,25.90,27.23,25.75,27.10,22084400,13.55
-2004-03-08,26.62,26.79,25.80,26.00,18674000,13.00
-2004-03-05,24.95,27.49,24.90,26.74,55021400,13.37
-2004-03-04,23.93,25.22,23.91,25.16,23579400,12.58
-2004-03-03,23.60,24.19,23.60,23.92,8040400,11.96
-2004-03-02,24.00,24.10,23.77,23.81,9167400,11.90
-2004-03-01,24.10,24.30,23.87,24.02,11488600,12.01
-2004-02-27,22.96,24.02,22.95,23.92,16744200,11.96
-2004-02-26,22.88,23.18,22.80,23.04,7086000,11.52
-2004-02-25,22.28,22.90,22.21,22.81,9867000,11.40
-2004-02-24,22.14,22.74,22.00,22.36,9252000,11.18
-2004-02-23,22.34,22.46,21.89,22.19,6931400,11.10
-2004-02-20,22.50,22.51,22.21,22.40,9914400,11.20
-2004-02-19,23.33,23.64,22.41,22.47,11538600,11.23
-2004-02-18,23.18,23.44,23.05,23.26,5058400,11.63
-2004-02-17,23.10,23.49,23.10,23.16,6105600,11.58
-2004-02-13,23.85,24.10,22.83,23.00,11285000,11.50
-2004-02-12,23.61,23.99,23.60,23.73,6571000,11.86
-2004-02-11,23.09,23.87,23.05,23.80,12448000,11.90
-2004-02-10,22.62,23.12,22.44,22.98,9119400,11.49
-2004-02-09,22.62,22.86,22.50,22.67,6723600,11.34
-2004-02-06,22.45,22.89,22.40,22.71,6905000,11.35
-2004-02-05,21.82,22.91,21.81,22.42,12601600,11.21
-2004-02-04,22.00,22.09,21.70,21.79,10912600,10.90
-2004-02-03,22.30,22.40,22.00,22.26,6457600,11.13
-2004-02-02,22.46,22.81,22.08,22.32,10265400,11.16
-2004-01-30,22.65,22.87,22.42,22.56,6617800,11.28
-2004-01-29,22.63,22.80,22.19,22.68,7596400,11.34
-2004-01-28,22.84,23.38,22.41,22.52,9835800,11.26
-2004-01-27,23.04,23.25,22.80,23.07,10966800,11.53
-2004-01-26,22.46,23.06,22.43,23.01,9688200,11.51
-2004-01-23,22.42,22.74,22.25,22.56,8113200,11.28
-2004-01-22,22.56,22.83,22.18,22.18,7321600,11.09
-2004-01-21,22.70,22.97,22.43,22.61,8095000,11.31
-2004-01-20,22.67,22.80,22.25,22.73,11283800,11.36
-2004-01-16,22.89,23.04,22.61,22.72,13315000,11.36
-2004-01-15,22.91,23.40,22.50,22.85,36364600,11.43
-2004-01-14,24.40,24.54,23.78,24.20,22144400,12.10
-2004-01-13,24.70,24.84,23.86,24.12,24250600,12.06
-2004-01-12,23.25,24.00,23.10,23.73,17412400,11.86
-2004-01-09,23.23,24.13,22.79,23.00,15266400,11.50
-2004-01-08,22.84,23.73,22.65,23.36,16439400,11.68
-2004-01-07,22.10,22.83,21.93,22.59,20959800,11.30
-2004-01-06,22.25,22.42,21.71,22.09,18191000,11.05
-2004-01-05,21.42,22.39,21.42,22.17,14107800,11.09
-2004-01-02,21.55,21.75,21.18,21.28,5165800,10.64
-2003-12-31,21.35,21.53,21.18,21.37,6230400,10.69
-2003-12-30,21.18,21.50,21.15,21.28,7316200,10.64
-2003-12-29,20.91,21.16,20.86,21.15,8337800,10.57
-2003-12-26,20.35,20.91,20.34,20.78,3703400,10.39
-2003-12-24,19.72,20.59,19.65,20.41,6338400,10.20
-2003-12-23,19.92,19.95,19.60,19.81,11017800,9.90
-2003-12-22,19.65,19.89,19.25,19.85,13466600,9.93
-2003-12-19,20.19,20.42,19.62,19.70,16198600,9.85
-2003-12-18,19.90,20.18,19.90,20.04,11818400,10.02
-2003-12-17,20.08,20.13,19.79,19.88,9795000,9.94
-2003-12-16,20.19,20.49,20.01,20.12,13355600,10.06
-2003-12-15,21.49,21.49,20.07,20.17,13889600,10.09
-2003-12-12,21.32,21.32,20.70,20.89,6881200,10.44
-2003-12-11,20.25,21.34,20.21,21.21,6540600,10.60
-2003-12-10,20.45,20.61,19.96,20.38,9690600,10.19
-2003-12-09,21.17,21.25,20.40,20.45,4826600,10.23
-2003-12-08,20.78,21.08,20.41,21.05,5294200,10.52
-2003-12-05,20.90,21.15,20.73,20.85,6649200,10.43
-2003-12-04,20.94,21.17,20.77,21.15,6355000,10.57
-2003-12-03,21.54,21.84,20.96,21.03,6832000,10.52
-2003-12-02,21.60,21.90,21.41,21.54,7332000,10.77
-2003-12-01,21.04,21.85,21.00,21.71,12912000,10.85
-2003-11-28,20.78,21.07,20.52,20.91,2717800,10.45
-2003-11-26,20.89,21.15,20.25,20.72,8754600,10.36
-2003-11-25,21.23,21.25,20.61,20.68,9594800,10.34
-2003-11-24,20.50,21.27,20.45,21.15,13636600,10.57
-2003-11-21,20.34,20.58,19.85,20.28,8637000,10.14
-2003-11-20,20.10,21.08,20.10,20.38,8556800,10.19
-2003-11-19,20.56,20.65,20.26,20.42,12306600,10.21
-2003-11-18,21.21,21.34,20.35,20.41,9542600,10.20
-2003-11-17,21.35,21.37,20.95,21.13,8152000,10.56
-2003-11-14,22.48,22.61,21.28,21.46,8466000,10.73
-2003-11-13,22.07,22.56,21.92,22.42,7599000,11.21
-2003-11-12,21.48,22.72,21.48,22.33,10714400,11.16
-2003-11-11,21.90,22.02,21.48,21.54,7681200,10.77
-2003-11-10,22.45,22.65,21.84,21.90,8367000,10.95
-2003-11-07,23.19,23.24,22.45,22.50,7505200,11.25
-2003-11-06,22.91,23.15,22.65,23.12,14181200,11.56
-2003-11-05,22.82,23.13,22.47,23.03,11516800,11.52
-2003-11-04,23.07,23.10,22.59,22.91,8901200,11.45
-2003-11-03,22.83,23.30,22.78,23.15,10815800,11.57
-2003-10-31,23.30,23.35,22.78,22.89,7791200,11.44
-2003-10-30,23.99,24.00,22.87,23.09,9305600,11.55
-2003-10-29,23.51,23.90,23.34,23.69,9538600,11.85
-2003-10-28,22.56,23.77,22.40,23.72,8989800,11.86
-2003-10-27,22.75,22.89,22.49,22.60,5786200,11.30
-2003-10-24,22.56,22.85,22.23,22.60,7852000,11.30
-2003-10-23,22.73,23.15,22.59,22.99,5900400,11.49
-2003-10-22,22.94,23.20,22.68,22.76,5771400,11.38
-2003-10-21,23.31,23.40,22.75,23.18,6302200,11.59
-2003-10-20,22.60,23.34,22.38,23.22,9969000,11.61
-2003-10-17,23.38,23.49,22.43,22.75,12850400,11.38
-2003-10-16,23.80,23.84,22.41,23.25,34845800,11.62
-2003-10-15,24.85,25.01,24.58,24.82,21789400,12.41
-2003-10-14,24.32,24.74,24.19,24.55,9836400,12.27
-2003-10-13,23.73,24.41,23.72,24.35,9995200,12.18
-2003-10-10,23.50,23.81,23.37,23.68,6244200,11.84
-2003-10-09,23.30,23.67,22.79,23.45,12419600,11.73
-2003-10-08,23.25,23.54,22.73,23.06,15309600,11.53
-2003-10-07,22.05,23.41,21.91,23.22,14934800,11.61
-2003-10-06,21.67,22.33,21.58,22.29,9583200,11.15
-2003-10-03,20.99,21.86,20.88,21.69,10700000,10.85
-2003-10-02,20.80,20.80,20.28,20.57,7287800,10.28
-2003-10-01,20.71,21.10,20.19,20.79,8432600,10.40
-2003-09-30,21.09,21.22,20.44,20.72,10193800,10.36
-2003-09-29,21.49,21.67,20.65,21.30,13060800,10.65
-2003-09-26,20.30,21.70,20.15,20.69,12401800,10.35
-2003-09-25,21.34,21.37,20.25,20.43,20513600,10.22
-2003-09-24,22.21,22.31,21.08,21.32,10760200,10.66
-2003-09-23,22.02,22.46,21.88,22.43,4730400,11.22
-2003-09-22,22.18,22.50,21.92,22.08,6422200,11.04
-2003-09-19,22.88,23.05,22.43,22.58,7355600,11.29
-2003-09-18,22.10,22.99,21.95,22.88,9032400,11.44
-2003-09-17,22.37,22.38,21.85,22.12,10335600,11.06
-2003-09-16,22.21,22.69,22.20,22.36,9607400,11.18
-2003-09-15,22.81,22.90,22.12,22.21,8101600,11.10
-2003-09-12,22.51,23.14,22.31,23.10,6428200,11.55
-2003-09-11,22.25,22.79,22.10,22.56,7631600,11.28
-2003-09-10,22.25,22.61,22.11,22.18,8031800,11.09
-2003-09-09,22.53,22.67,22.12,22.37,6441800,11.19
-2003-09-08,22.48,22.79,22.47,22.74,5973000,11.37
-2003-09-05,22.73,23.15,22.41,22.50,8576200,11.25
-2003-09-04,23.16,23.25,22.77,22.83,7135000,11.41
-2003-09-03,22.80,23.32,22.76,22.95,9601000,11.48
-2003-09-02,22.66,22.90,22.40,22.85,8647600,11.43
-2003-08-29,22.20,22.85,22.05,22.61,9398400,11.31
-2003-08-28,21.33,22.22,21.33,22.19,11415200,11.10
-2003-08-27,20.91,21.48,20.66,21.48,8060800,10.74
-2003-08-26,20.75,21.07,20.35,21.05,5891400,10.52
-2003-08-25,20.78,20.91,20.49,20.86,4920800,10.43
-2003-08-22,21.81,22.00,20.64,20.88,8938000,10.44
-2003-08-21,21.03,21.71,20.95,21.68,9118800,10.84
-2003-08-20,20.18,21.27,20.14,21.01,9757600,10.51
-2003-08-19,20.37,20.45,20.00,20.32,4774600,10.16
-2003-08-18,19.86,20.41,19.72,20.34,6884800,10.17
-2003-08-15,20.02,20.07,19.66,19.71,4495200,9.85
-2003-08-14,20.21,20.33,19.94,19.97,6885000,9.98
-2003-08-13,19.86,20.34,19.58,20.18,10146400,10.09
-2003-08-12,19.76,19.80,19.46,19.70,5872800,9.85
-2003-08-11,19.82,19.93,19.51,19.66,4901000,9.83
-2003-08-08,20.11,20.13,19.60,19.64,4916400,9.82
-2003-08-07,19.73,20.09,19.42,19.93,6227800,9.97
-2003-08-06,20.06,20.17,19.50,19.63,8766600,9.81
-2003-08-05,21.35,21.40,20.10,20.38,8908600,10.19
-2003-08-04,20.53,21.50,20.28,21.21,8218400,10.60
-2003-08-01,21.00,21.27,20.64,20.73,5343000,10.36
-2003-07-31,20.74,21.35,20.57,21.08,10766600,10.54
-2003-07-30,20.77,20.90,20.17,20.28,6199800,10.14
-2003-07-29,20.99,21.08,20.52,20.72,7040000,10.36
-2003-07-28,21.50,21.50,20.86,20.99,6084200,10.49
-2003-07-25,20.41,21.57,20.40,21.54,7738800,10.77
-2003-07-24,21.04,21.50,20.38,20.51,8187000,10.26
-2003-07-23,20.95,20.96,20.46,20.79,5108400,10.40
-2003-07-22,20.87,20.96,20.50,20.80,7086600,10.40
-2003-07-21,20.69,20.80,20.30,20.61,6564600,10.31
-2003-07-18,20.90,21.18,20.40,20.86,10672800,10.43
-2003-07-17,20.19,20.95,20.13,20.90,26829000,10.45
-2003-07-16,19.97,20.00,19.38,19.87,8961800,9.94
-2003-07-15,20.02,20.24,19.43,19.61,7380200,9.81
-2003-07-14,20.01,20.40,19.87,19.90,6728800,9.95
-2003-07-11,19.66,20.00,19.53,19.85,4887800,9.93
-2003-07-10,19.88,19.94,19.37,19.58,6104800,9.79
-2003-07-09,20.21,20.45,19.89,19.89,7630200,9.94
-2003-07-08,19.52,20.50,19.49,20.40,9169200,10.20
-2003-07-07,19.27,20.18,19.13,19.87,10224000,9.94
-2003-07-03,19.00,19.55,18.98,19.13,4920400,9.56
-2003-07-02,19.03,19.40,19.02,19.27,11617800,9.64
-2003-07-01,18.87,19.18,18.51,19.09,6464000,9.55
-2003-06-30,18.68,19.21,18.59,19.06,7934000,9.53
-2003-06-27,19.30,19.31,18.48,18.73,13064000,9.36
-2003-06-26,18.70,19.32,18.70,19.29,5775200,9.65
-2003-06-25,18.86,19.40,18.71,19.09,11779000,9.55
-2003-06-24,19.47,19.67,18.72,18.78,18370800,9.39
-2003-06-23,19.30,19.69,18.75,19.06,10977200,9.53
-2003-06-20,19.35,19.58,18.90,19.20,12733800,9.60
-2003-06-19,19.36,19.61,18.77,19.14,13626000,9.57
-2003-06-18,18.45,19.48,18.31,19.12,16249400,9.56
-2003-06-17,18.41,18.50,17.99,18.19,6338000,9.10
-2003-06-16,17.60,18.27,17.45,18.27,8518800,9.14
-2003-06-13,17.75,17.95,17.13,17.42,6830200,8.71
-2003-06-12,17.55,17.88,17.45,17.77,9021000,8.89
-2003-06-11,17.15,17.51,16.81,17.45,8039800,8.73
-2003-06-10,16.89,17.29,16.75,17.18,6308800,8.59
-2003-06-09,16.94,17.04,16.63,16.79,9284000,8.40
-2003-06-06,17.74,18.04,17.14,17.15,8621000,8.57
-2003-06-05,17.45,17.74,17.33,17.64,7339200,8.82
-2003-06-04,17.30,17.79,17.14,17.60,9685800,8.80
-2003-06-03,17.44,17.67,17.02,17.31,12887800,8.65
-2003-06-02,18.10,18.29,17.27,17.45,14949600,8.73
-2003-05-30,18.12,18.18,17.53,17.95,13669600,8.98
-2003-05-29,18.29,18.50,17.90,18.10,11920200,9.05
-2003-05-28,18.50,18.66,18.15,18.28,12131400,9.14
-2003-05-27,17.96,18.90,17.91,18.88,10361800,9.44
-2003-05-23,18.21,18.46,17.96,18.32,7382800,9.16
-2003-05-22,17.89,18.40,17.74,18.24,6373600,9.12
-2003-05-21,17.79,18.09,17.67,17.85,10893200,8.93
-2003-05-20,18.10,18.16,17.60,17.79,14865000,8.90
-2003-05-19,18.53,18.65,18.06,18.10,15924600,9.05
-2003-05-16,18.59,19.01,18.28,18.80,12201000,9.40
-2003-05-15,18.60,18.85,18.47,18.73,10178400,9.36
-2003-05-14,18.83,18.84,18.43,18.55,12696000,9.27
-2003-05-13,18.43,18.97,17.95,18.67,15957000,9.34
-2003-05-12,18.15,18.74,18.13,18.56,14977600,9.28
-2003-05-09,18.33,18.40,17.88,18.30,21013800,9.15
-2003-05-08,17.70,18.07,17.29,18.00,24562000,9.00
-2003-05-07,17.33,18.24,17.11,17.65,37656400,8.82
-2003-05-06,16.12,17.90,16.10,17.50,54089000,8.75
-2003-05-05,14.77,16.88,14.75,16.09,55561000,8.05
-2003-05-02,14.46,14.59,14.34,14.45,11470800,7.22
-2003-05-01,14.25,14.39,14.00,14.36,12241400,7.18
-2003-04-30,13.93,14.35,13.85,14.22,16363400,7.11
-2003-04-29,13.98,14.16,13.58,14.06,16365600,7.03
-2003-04-28,13.48,13.96,13.43,13.86,22742800,6.93
-2003-04-25,13.46,13.58,13.23,13.35,7332800,6.68
-2003-04-24,13.52,13.61,13.00,13.44,11611000,6.72
-2003-04-23,13.53,13.63,13.36,13.58,7488600,6.79
-2003-04-22,13.18,13.62,13.09,13.51,10734600,6.76
-2003-04-21,13.13,13.19,12.98,13.14,5440000,6.57
-2003-04-17,13.20,13.25,12.72,13.12,22009200,6.56
-2003-04-16,12.99,13.67,12.92,13.24,36292000,6.62
-2003-04-15,13.59,13.60,13.30,13.39,10856000,6.70
-2003-04-14,13.71,13.75,13.50,13.58,17962800,6.79
-2003-04-11,14.05,14.44,12.93,13.20,49739600,6.60
-2003-04-10,14.20,14.39,14.20,14.37,3825000,7.18
-2003-04-09,14.52,14.62,14.14,14.19,5240200,7.09
-2003-04-08,14.51,14.65,14.36,14.45,4604800,7.22
-2003-04-07,14.85,14.95,14.41,14.49,7030800,7.24
-2003-04-04,14.52,14.67,14.39,14.41,5215000,7.20
-2003-04-03,14.56,14.70,14.35,14.46,5204000,7.23
-2003-04-02,14.36,14.69,14.27,14.60,6120400,7.30
-2003-04-01,14.20,14.31,14.07,14.16,5512200,7.08
-2003-03-31,14.33,14.53,14.04,14.14,9166400,7.07
-2003-03-28,14.40,14.62,14.37,14.57,5189400,7.28
-2003-03-27,14.32,14.70,14.32,14.49,4371200,7.24
-2003-03-26,14.55,14.56,14.30,14.41,6369400,7.20
-2003-03-25,14.41,14.83,14.37,14.55,5989200,7.28
-2003-03-24,14.67,14.80,14.35,14.37,5753600,7.18
-2003-03-21,15.09,15.15,14.82,15.00,10641000,7.50
-2003-03-20,14.93,14.99,14.60,14.91,5827800,7.45
-2003-03-19,15.07,15.15,14.79,14.95,5047000,7.47
-2003-03-18,15.00,15.09,14.82,15.00,8213600,7.50
-2003-03-17,14.89,15.07,14.71,15.01,14282600,7.51
-2003-03-14,14.68,15.01,14.64,14.78,5467800,7.39
-2003-03-13,14.47,14.80,14.17,14.72,11980200,7.36
-2003-03-12,14.17,14.39,14.06,14.22,7948600,7.11
-2003-03-11,14.36,14.49,14.12,14.23,5756800,7.11
-2003-03-10,14.51,14.67,14.30,14.37,4806200,7.18
-2003-03-07,14.47,14.71,14.31,14.53,7178000,7.26
-2003-03-06,14.58,14.60,14.40,14.56,3566400,7.28
-2003-03-05,14.61,14.80,14.52,14.62,4524400,7.31
-2003-03-04,14.74,14.81,14.44,14.56,4514800,7.28
-2003-03-03,15.01,15.16,14.55,14.65,7277200,7.32
-2003-02-28,14.86,15.09,14.77,15.01,6967800,7.51
-2003-02-27,14.57,15.00,14.51,14.86,5512200,7.43
-2003-02-26,14.99,15.02,14.48,14.50,7753400,7.25
-2003-02-25,14.68,15.08,14.58,15.02,6737200,7.51
-2003-02-24,14.86,15.03,13.80,14.74,6437600,7.37
-2003-02-21,14.82,15.06,14.65,15.00,5623000,7.50
-2003-02-20,14.85,14.96,14.71,14.77,8012600,7.39
-2003-02-19,15.07,15.15,14.68,14.85,8584600,7.43
-2003-02-18,14.75,15.30,14.72,15.27,10389200,7.64
-2003-02-14,14.61,14.72,14.35,14.67,8689200,7.34
-2003-02-13,14.41,14.64,14.24,14.54,7446200,7.27
-2003-02-12,14.27,14.60,14.27,14.39,8167400,7.20
-2003-02-11,14.50,14.63,14.20,14.35,5885000,7.18
-2003-02-10,14.26,14.57,14.06,14.35,5996000,7.18
-2003-02-07,14.55,14.60,14.07,14.15,9632200,7.07
-2003-02-06,14.36,14.59,14.22,14.43,6398200,7.22
-2003-02-05,14.71,14.93,14.44,14.45,7914800,7.22
-2003-02-04,14.45,14.65,14.31,14.60,11336200,7.30
-2003-02-03,14.41,14.91,14.35,14.66,9456600,7.33
-2003-01-31,14.19,14.55,14.05,14.36,12186600,7.18
-2003-01-30,14.98,15.07,14.29,14.32,14537800,7.16
-2003-01-29,14.55,15.10,14.30,14.93,13323000,7.47
-2003-01-28,14.24,14.69,14.16,14.58,10223400,7.29
-2003-01-27,13.68,14.50,13.65,14.13,13978800,7.07
-2003-01-24,14.24,14.24,13.56,13.80,10909600,6.90
-2003-01-23,14.05,14.36,13.95,14.17,8152000,7.09
-2003-01-22,13.98,14.15,13.80,13.88,7683600,6.94
-2003-01-21,14.21,14.41,14.00,14.02,9052000,7.01
-2003-01-17,14.56,14.56,14.08,14.10,9527200,7.05
-2003-01-16,14.21,14.76,14.21,14.62,19966800,7.31
-2003-01-15,14.59,14.70,14.26,14.43,13254600,7.22
-2003-01-14,14.69,14.82,14.49,14.61,6673600,7.30
-2003-01-13,14.90,14.90,14.36,14.63,6390800,7.32
-2003-01-10,14.58,14.82,14.49,14.72,6253600,7.36
-2003-01-09,14.62,14.92,14.50,14.68,7687600,7.34
-2003-01-08,14.58,14.71,14.44,14.55,8201600,7.28
-2003-01-07,14.79,15.00,14.47,14.85,12226600,7.43
-2003-01-06,15.03,15.38,14.88,14.90,13947600,7.45
-2003-01-03,14.80,14.93,14.59,14.90,5266200,7.45
-2003-01-02,14.36,14.92,14.35,14.80,6479600,7.40
-2002-12-31,14.00,14.36,13.95,14.33,7168800,7.16
-2002-12-30,14.08,14.15,13.84,14.07,5537200,7.03
-2002-12-27,14.31,14.38,14.01,14.06,2858400,7.03
-2002-12-26,14.42,14.81,14.28,14.40,3050800,7.20
-2002-12-24,14.44,14.47,14.30,14.36,1405000,7.18
-2002-12-23,14.16,14.55,14.12,14.49,4493800,7.24
-2002-12-20,14.29,14.56,13.78,14.14,11360600,7.07
-2002-12-19,14.53,14.92,14.10,14.20,12411400,7.10
-2002-12-18,14.80,14.86,14.50,14.57,5382200,7.28
-2002-12-17,14.85,15.19,14.66,15.08,7952200,7.54
-2002-12-16,14.81,15.10,14.61,14.85,8986600,7.43
-2002-12-13,15.14,15.15,14.65,14.79,5885000,7.39
-2002-12-12,15.51,15.55,15.01,15.19,5333600,7.59
-2002-12-11,15.30,15.49,15.08,15.49,9053600,7.74
-2002-12-10,14.75,15.45,14.73,15.28,11021800,7.64
-2002-12-09,14.94,14.95,14.67,14.75,8431600,7.38
-2002-12-06,14.65,15.19,14.52,14.95,8762800,7.47
-2002-12-05,15.03,15.08,14.53,14.63,8692800,7.32
-2002-12-04,15.18,15.19,14.50,14.97,11634200,7.49
-2002-12-03,15.20,15.34,15.10,15.16,8138200,7.58
-2002-12-02,15.90,16.10,15.01,15.18,14240800,7.59
-2002-11-29,15.79,15.88,15.41,15.50,5122600,7.75
-2002-11-27,15.60,15.86,15.45,15.72,10242800,7.86
-2002-11-26,15.85,15.90,15.27,15.41,8580800,7.70
-2002-11-25,16.03,16.14,15.71,15.97,7122400,7.99
-2002-11-22,16.09,16.30,15.90,16.01,8137800,8.01
-2002-11-21,15.90,16.44,15.75,16.35,14945800,8.18
-2002-11-20,15.30,15.70,15.25,15.53,7455000,7.76
-2002-11-19,15.55,15.75,15.01,15.27,7534000,7.64
-2002-11-18,16.19,16.20,15.52,15.65,5877800,7.82
-2002-11-15,16.23,16.24,15.76,15.95,5749800,7.97
-2002-11-14,15.90,16.41,15.78,16.30,5061200,8.15
-2002-11-13,15.50,16.07,15.28,15.59,8276400,7.80
-2002-11-12,15.32,16.04,15.28,15.64,7992600,7.82
-2002-11-11,15.74,15.89,15.12,15.16,5463400,7.58
-2002-11-08,16.01,16.20,15.52,15.84,6788000,7.92
-2002-11-07,16.94,17.10,15.81,16.00,12006400,8.00
-2002-11-06,17.08,17.32,16.70,17.22,7728200,8.61
-2002-11-05,16.75,16.96,16.35,16.90,7524800,8.45
-2002-11-04,16.50,17.38,16.35,16.89,13457800,8.44
-2002-11-01,15.94,16.50,15.89,16.36,6779600,8.18
-2002-10-31,15.99,16.44,15.92,16.07,10565600,8.03
-2002-10-30,15.49,16.37,15.48,15.98,9667000,7.99
-2002-10-29,15.57,15.88,14.96,15.44,9256400,7.72
-2002-10-28,15.55,15.95,15.25,15.61,12475000,7.80
-2002-10-25,14.69,15.45,14.59,15.42,9966800,7.71
-2002-10-24,15.02,15.21,14.55,14.69,6241000,7.34
-2002-10-23,14.63,14.98,14.50,14.88,7465600,7.44
-2002-10-22,14.47,14.88,14.26,14.70,7791000,7.35
-2002-10-21,14.26,14.63,14.00,14.56,8518600,7.28
-2002-10-18,14.00,14.35,13.93,14.34,10296400,7.17
-2002-10-17,14.21,14.38,13.98,14.11,16760600,7.05
-2002-10-16,14.86,15.13,13.90,14.56,10986600,7.28
-2002-10-15,15.22,15.25,14.78,15.16,14482800,7.58
-2002-10-14,14.55,14.98,14.44,14.77,6943000,7.39
-2002-10-11,14.25,14.78,14.10,14.51,10524200,7.26
-2002-10-10,13.63,14.22,13.58,14.11,11484800,7.05
-2002-10-09,13.54,13.85,13.41,13.59,12738800,6.80
-2002-10-08,13.90,13.96,13.36,13.68,16201600,6.84
-2002-10-07,13.97,14.21,13.76,13.77,8739200,6.89
-2002-10-04,14.36,14.40,13.99,14.03,6815200,7.01
-2002-10-03,14.18,14.60,14.06,14.30,7782000,7.15
-2002-10-02,14.33,14.63,14.10,14.17,8191000,7.09
-2002-10-01,14.59,14.60,14.00,14.51,12229400,7.26
-2002-09-30,14.40,14.57,14.14,14.50,8489200,7.25
-2002-09-27,14.49,14.85,14.48,14.72,7362600,7.36
-2002-09-26,15.10,15.19,14.55,14.70,7451600,7.35
-2002-09-25,14.69,15.17,14.65,14.93,9095800,7.47
-2002-09-24,14.40,14.82,14.40,14.64,8952200,7.32
-2002-09-23,14.76,14.96,14.45,14.85,9418200,7.43
-2002-09-20,14.62,14.94,14.52,14.87,12599600,7.43
-2002-09-19,14.75,14.80,14.48,14.58,7355200,7.29
-2002-09-18,14.69,15.09,14.52,15.02,11737200,7.51
-2002-09-17,14.57,15.03,14.57,14.80,15285600,7.40
-2002-09-16,14.14,14.61,14.12,14.50,10237200,7.25
-2002-09-13,14.13,14.34,14.05,14.17,10105400,7.09
-2002-09-12,14.20,14.51,14.12,14.14,9636800,7.07
-2002-09-11,14.34,14.60,14.15,14.29,7229000,7.14
-2002-09-10,14.41,14.49,14.12,14.33,8909600,7.16
-2002-09-09,14.28,14.53,14.15,14.37,5651600,7.18
-2002-09-06,14.51,14.65,14.23,14.38,6485400,7.19
-2002-09-05,14.22,14.36,14.05,14.18,8077800,7.09
-2002-09-04,14.20,14.78,14.17,14.48,15023600,7.24
-2002-09-03,14.49,14.55,14.05,14.05,9890600,7.03
-2002-08-30,14.73,15.14,14.58,14.75,6911400,7.38
-2002-08-29,14.65,15.08,14.51,14.70,5863200,7.35
-2002-08-28,14.80,15.12,14.65,14.70,8856200,7.35
-2002-08-27,15.71,15.74,14.71,14.85,9365400,7.43
-2002-08-26,15.95,15.95,15.16,15.53,6784600,7.76
-2002-08-23,15.90,15.93,15.45,15.73,5830200,7.86
-2002-08-22,16.20,16.25,15.66,15.97,9225400,7.99
-2002-08-21,16.01,16.24,15.45,16.12,7229600,8.06
-2002-08-20,15.97,16.09,15.53,15.91,6665200,7.95
-2002-08-19,15.78,16.25,15.72,15.98,7734200,7.99
-2002-08-16,15.45,16.10,15.28,15.81,8758000,7.91
-2002-08-15,15.25,15.75,15.01,15.61,11502800,7.80
-2002-08-14,14.67,15.35,14.54,15.17,14253000,7.59
-2002-08-13,14.90,15.21,14.55,14.59,9638200,7.30
-2002-08-12,14.90,15.02,14.69,14.99,6420200,7.49
-2002-08-09,15.25,15.25,14.75,15.00,7347000,7.50
-2002-08-08,14.77,15.38,14.77,15.30,8119600,7.65
-2002-08-07,15.09,15.36,14.35,15.03,11909800,7.51
-2002-08-06,14.21,15.23,14.08,14.74,9716200,7.37
-2002-08-05,14.51,14.70,13.97,13.99,7286600,6.99
-2002-08-02,14.74,15.00,14.25,14.45,6395000,7.22
-2002-08-01,15.11,15.42,14.73,14.80,8177000,7.40
-2002-07-31,15.40,15.42,14.90,15.26,11096400,7.63
-2002-07-30,14.85,15.51,14.56,15.43,12672800,7.72
-2002-07-29,14.48,15.10,14.37,15.02,9820000,7.51
-2002-07-26,14.46,14.53,13.80,14.34,7418000,7.17
-2002-07-25,14.93,14.95,14.01,14.36,17119800,7.18
-2002-07-24,14.33,15.22,14.25,15.20,14521200,7.60
-2002-07-23,14.90,15.13,14.44,14.47,14281800,7.24
-2002-07-22,14.75,15.19,14.61,14.92,15389200,7.46
-2002-07-19,14.70,15.17,14.53,14.96,13757400,7.48
-2002-07-18,15.50,15.56,14.75,14.99,19980800,7.49
-2002-07-17,16.13,16.20,15.19,15.63,43410200,7.82
-2002-07-16,18.15,18.57,17.61,17.86,15956000,8.93
-2002-07-15,17.43,18.60,16.81,18.23,10571200,9.11
-2002-07-12,18.55,18.79,17.26,17.51,15839000,8.76
-2002-07-11,17.26,18.35,16.97,18.30,13345600,9.15
-2002-07-10,17.71,18.17,17.25,17.32,7388600,8.66
-2002-07-09,18.09,18.29,17.46,17.53,8098200,8.77
-2002-07-08,18.52,18.61,17.68,18.01,7543000,9.01
-2002-07-05,17.71,18.75,17.71,18.74,5773200,9.37
-2002-07-03,16.81,17.68,16.75,17.55,7108200,8.77
-2002-07-02,17.03,17.16,16.83,16.94,10899600,8.47
-2002-07-01,17.71,17.88,17.05,17.06,7953200,8.53
-2002-06-28,17.10,17.82,17.00,17.72,9637800,8.86
-2002-06-27,16.79,17.27,16.42,17.06,8987800,8.53
-2002-06-26,16.80,17.29,15.98,16.55,19962600,8.27
-2002-06-25,17.40,17.68,16.86,17.14,10757200,8.57
-2002-06-24,16.77,17.73,16.70,17.27,15426200,8.64
-2002-06-21,16.97,17.49,16.79,16.85,15899200,8.43
-2002-06-20,17.17,17.60,16.85,17.11,14165600,8.56
-2002-06-19,17.37,17.60,16.88,17.12,61052400,8.56
-2002-06-18,20.42,20.59,19.98,20.15,12620000,10.07
-2002-06-17,20.24,20.63,19.85,20.54,11593200,10.27
-2002-06-14,19.24,20.36,18.11,20.10,15175000,10.05
-2002-06-13,20.02,20.05,19.38,19.54,12574400,9.77
-2002-06-12,20.41,20.75,19.94,20.09,18882800,10.05
-2002-06-11,21.64,21.70,20.41,20.46,12482000,10.23
-2002-06-10,21.48,21.84,21.34,21.48,9913400,10.74
-2002-06-07,21.76,21.94,20.93,21.40,21870600,10.70
-2002-06-06,22.96,23.23,22.04,22.16,9285600,11.08
-2002-06-05,22.83,22.83,22.35,22.72,9895800,11.36
-2002-06-04,22.88,23.04,22.18,22.78,12422200,11.39
-2002-06-03,23.39,23.45,22.58,22.91,8396800,11.45
-2002-05-31,24.09,24.25,23.28,23.30,13053400,11.65
-2002-05-30,23.77,24.38,23.51,24.20,7013400,12.10
-2002-05-29,23.92,24.44,23.45,23.98,7921200,11.99
-2002-05-28,23.69,24.20,23.43,23.98,5347000,11.99
-2002-05-24,24.99,24.99,23.96,24.15,5934800,12.07
-2002-05-23,24.45,25.24,24.07,25.18,13192800,12.59
-2002-05-22,23.37,24.37,23.32,24.32,10388400,12.16
-2002-05-21,24.83,25.00,23.40,23.46,10035400,11.73
-2002-05-20,24.57,24.93,24.53,24.74,9639800,12.37
-2002-05-17,25.49,25.78,24.61,25.01,8446200,12.51
-2002-05-16,25.06,25.45,24.75,25.21,8109000,12.60
-2002-05-15,25.37,25.98,24.84,25.28,11993800,12.64
-2002-05-14,24.45,25.68,24.22,25.61,18803800,12.81
-2002-05-13,23.52,24.09,22.94,23.94,9486000,11.97
-2002-05-10,24.29,24.29,22.98,23.32,8407000,11.66
-2002-05-09,24.25,24.35,23.80,24.19,8022000,12.10
-2002-05-08,23.20,24.52,23.04,24.37,15595800,12.19
-2002-05-07,22.94,22.95,22.14,22.47,8669600,11.23
-2002-05-06,23.35,23.50,22.46,22.65,8916600,11.32
-2002-05-03,23.57,24.02,23.43,23.51,8242200,11.76
-2002-05-02,23.81,24.34,23.60,23.69,8548000,11.85
-2002-05-01,24.29,24.29,23.36,23.98,7668000,11.99
-2002-04-30,23.89,24.38,23.75,24.27,10034400,12.14
-2002-04-29,23.16,24.06,23.09,23.96,9724600,11.98
-2002-04-26,24.28,24.37,23.00,23.01,10892200,11.51
-2002-04-25,23.56,24.34,23.55,24.12,6935800,12.06
-2002-04-24,24.30,24.50,23.68,23.77,5016000,11.89
-2002-04-23,24.54,24.78,24.09,24.25,8338200,12.12
-2002-04-22,24.84,24.93,24.23,24.53,9622400,12.27
-2002-04-19,25.49,25.49,24.93,24.98,13407400,12.49
-2002-04-18,25.50,25.52,24.88,25.41,14346800,12.70
-2002-04-17,25.93,26.17,25.38,26.11,14151800,13.06
-2002-04-16,25.15,25.99,25.12,25.74,21949200,12.87
-2002-04-15,25.06,25.15,24.80,25.00,10691800,12.50
-2002-04-12,25.01,25.17,24.57,25.06,11437200,12.53
-2002-04-11,25.03,25.20,24.75,24.86,14544800,12.43
-2002-04-10,24.21,24.95,24.01,24.66,8035000,12.33
-2002-04-09,24.59,25.00,24.01,24.10,6840400,12.05
-2002-04-08,24.16,24.68,23.78,24.56,9339800,12.28
-2002-04-05,24.95,25.19,24.10,24.74,9941000,12.37
-2002-04-04,23.67,25.05,23.67,24.90,12089200,12.45
-2002-04-03,24.05,24.49,23.60,23.75,7661800,11.88
-2002-04-02,24.00,24.30,23.87,24.07,7278400,12.03
-2002-04-01,23.38,24.70,23.28,24.46,7108800,12.23
-2002-03-28,23.70,23.88,23.46,23.67,3873400,11.84
-2002-03-27,23.35,23.72,23.26,23.47,4560800,11.73
-2002-03-26,23.20,23.64,23.00,23.46,9208600,11.73
-2002-03-25,24.07,24.09,23.24,23.35,9386800,11.68
-2002-03-22,24.22,24.56,23.87,24.09,7221200,12.05
-2002-03-21,23.86,24.30,23.26,24.27,22012600,12.14
-2002-03-20,24.66,25.14,24.50,24.92,10511400,12.46
-2002-03-19,24.69,25.30,24.30,24.85,8655200,12.43
-2002-03-18,24.95,25.05,24.32,24.74,10877000,12.37
-2002-03-15,24.46,24.96,24.25,24.95,8603600,12.48
-2002-03-14,24.30,24.60,23.87,24.43,7760600,12.22
-2002-03-13,24.37,24.85,24.15,24.49,7170200,12.24
-2002-03-12,24.51,24.74,24.10,24.72,9073400,12.36
-2002-03-11,24.60,25.14,24.10,25.06,9385200,12.53
-2002-03-08,24.74,25.09,24.30,24.66,9634800,12.33
-2002-03-07,24.06,24.53,23.61,24.38,9223200,12.19
-2002-03-06,23.48,24.34,22.93,24.07,8078800,12.03
-2002-03-05,24.15,24.43,23.40,23.53,9810800,11.77
-2002-03-04,23.26,24.58,22.76,24.29,12437800,12.15
-2002-03-01,21.93,23.50,21.82,23.45,12464000,11.73
-2002-02-28,22.15,22.59,21.35,21.70,16319200,10.85
-2002-02-27,23.94,24.25,20.94,21.96,36791400,10.98
-2002-02-26,23.91,24.37,23.25,23.67,9290400,11.84
-2002-02-25,22.85,24.72,22.36,23.81,15244600,11.90
-2002-02-22,21.66,22.95,21.50,22.74,14517000,11.37
-2002-02-21,22.92,23.00,21.45,21.50,15955400,10.75
-2002-02-20,22.77,23.20,22.35,23.13,10194400,11.56
-2002-02-19,23.76,23.87,22.48,22.62,13937800,11.31
-2002-02-15,24.53,24.98,23.85,23.90,9292400,11.95
-2002-02-14,25.05,25.23,24.38,24.60,9291800,12.30
-2002-02-13,24.73,25.24,24.65,25.01,11174000,12.51
-2002-02-12,24.66,25.04,24.45,24.71,8010000,12.35
-2002-02-11,23.93,25.00,23.74,24.98,14235800,12.49
-2002-02-08,24.40,24.64,23.37,24.03,12690400,12.02
-2002-02-07,24.65,25.29,24.08,24.30,12422600,12.15
-2002-02-06,25.60,25.98,24.15,24.67,21342000,12.34
-2002-02-05,25.09,25.98,25.08,25.45,16317400,12.73
-2002-02-04,24.32,25.52,24.20,25.35,18656200,12.68
-2002-02-01,24.34,24.96,24.34,24.41,14225200,12.20
-2002-01-31,24.16,24.73,24.11,24.72,16730200,12.36
-2002-01-30,23.07,24.14,22.94,24.09,16842000,12.05
-2002-01-29,23.22,23.54,22.85,23.07,8583000,11.53
-2002-01-28,23.40,23.55,22.72,23.27,6658800,11.64
-2002-01-25,22.89,23.42,22.66,23.25,6639800,11.62
-2002-01-24,22.91,23.51,22.90,23.21,12285800,11.60
-2002-01-23,21.80,23.04,21.59,23.02,15831400,11.51
-2002-01-22,22.27,22.37,21.82,21.82,11689800,10.91
-2002-01-18,22.00,22.60,21.96,22.17,12100400,11.09
-2002-01-17,21.96,22.74,21.87,22.48,23592000,11.24
-2002-01-16,21.41,21.41,20.50,20.78,20246200,10.39
-2002-01-15,21.32,21.76,21.21,21.70,10368600,10.85
-2002-01-14,21.01,21.40,20.90,21.15,14857000,10.57
-2002-01-11,21.39,21.84,20.60,21.05,12457200,10.52
-2002-01-10,21.22,21.46,20.25,21.23,16169200,10.61
-2002-01-09,22.80,22.93,21.28,21.65,11708400,10.82
-2002-01-08,22.75,23.05,22.46,22.61,16072800,11.31
-2002-01-07,23.72,24.00,22.75,22.90,15878000,11.45
-2002-01-04,23.34,23.95,22.99,23.69,14642000,11.85
-2002-01-03,23.00,23.75,22.77,23.58,21857400,11.79
-2002-01-02,22.05,23.30,21.96,23.30,18910600,11.65
-2001-12-31,22.51,22.66,21.83,21.90,4920800,10.95
-2001-12-28,21.97,23.00,21.96,22.43,10683000,11.22
-2001-12-27,21.58,22.25,21.58,22.07,6839600,11.03
-2001-12-26,21.35,22.30,21.14,21.49,5228600,10.74
-2001-12-24,20.90,21.45,20.90,21.36,1808200,10.68
-2001-12-21,21.01,21.54,20.80,21.00,9154800,10.50
-2001-12-20,21.40,21.47,20.62,20.67,7888000,10.34
-2001-12-19,20.58,21.68,20.47,21.62,10355600,10.81
-2001-12-18,20.89,21.33,20.22,21.01,8401400,10.51
-2001-12-17,20.40,21.00,20.19,20.62,6204000,10.31
-2001-12-14,20.73,20.83,20.09,20.39,6781600,10.19
-2001-12-13,21.49,21.55,20.50,21.00,7065800,10.50
-2001-12-12,21.87,21.92,21.25,21.49,6873600,10.74
-2001-12-11,22.67,22.85,21.65,21.78,7338400,10.89
-2001-12-10,22.29,22.99,22.23,22.54,6071800,11.27
-2001-12-07,22.46,22.71,22.00,22.54,7268400,11.27
-2001-12-06,23.48,23.50,22.14,22.78,12104800,11.39
-2001-12-05,22.36,24.03,22.17,23.76,20306400,11.88
-2001-12-04,21.05,22.56,20.72,22.40,13586400,11.20
-2001-12-03,21.06,21.28,20.60,21.05,6470200,10.52
-2001-11-30,20.47,21.44,20.25,21.30,10854000,10.65
-2001-11-29,20.60,20.70,20.19,20.42,7241600,10.21
-2001-11-28,20.85,21.21,20.41,20.53,8950400,10.27
-2001-11-27,21.20,21.52,20.50,21.00,9591200,10.50
-2001-11-26,19.94,21.55,19.88,21.37,16453200,10.69
-2001-11-23,19.71,19.95,19.57,19.84,2143000,9.92
-2001-11-21,19.61,19.80,19.26,19.68,7199400,9.84
-2001-11-20,19.82,20.20,19.50,19.53,9878000,9.77
-2001-11-19,19.00,20.05,18.96,20.00,11878200,10.00
-2001-11-16,19.27,19.29,18.40,18.97,8238000,9.48
-2001-11-15,19.45,19.90,19.23,19.45,7608200,9.73
-2001-11-14,19.59,19.90,19.15,19.61,7898200,9.81
-2001-11-13,19.08,19.39,18.71,19.37,8024000,9.69
-2001-11-12,18.66,19.17,17.96,18.75,7196400,9.38
-2001-11-09,18.60,19.25,18.55,18.71,4796200,9.35
-2001-11-08,19.63,19.89,18.57,18.71,12219400,9.35
-2001-11-07,19.46,20.13,19.33,19.59,13678200,9.80
-2001-11-06,18.96,19.62,18.53,19.57,11286400,9.78
-2001-11-05,18.84,19.25,18.61,19.07,8421200,9.53
-2001-11-02,18.52,18.86,18.16,18.57,7043000,9.28
-2001-11-01,17.65,18.78,17.25,18.59,11178400,9.30
-2001-10-31,17.73,18.40,17.44,17.56,9776800,8.78
-2001-10-30,17.38,18.00,17.06,17.60,9884400,8.80
-2001-10-29,18.57,18.67,17.60,17.63,8542200,8.81
-2001-10-26,18.86,19.25,18.62,18.67,9963000,9.34
-2001-10-25,18.44,19.25,18.16,19.19,9105400,9.60
-2001-10-24,18.06,19.09,17.75,18.95,13372400,9.48
-2001-10-23,19.12,19.42,17.87,18.14,24463600,9.07
-2001-10-22,18.21,19.07,18.09,19.02,13997800,9.51
-2001-10-19,17.94,18.40,17.88,18.30,5956800,9.15
-2001-10-18,17.29,18.23,17.29,18.00,21877600,9.00
-2001-10-17,18.34,18.41,16.96,16.99,10197800,8.49
-2001-10-16,18.09,18.20,17.77,18.01,7248200,9.01
-2001-10-15,17.95,18.38,17.95,17.99,11384000,8.99
-2001-10-12,17.31,18.08,16.86,18.01,10279000,9.01
-2001-10-11,16.92,17.74,16.85,17.74,11934400,8.87
-2001-10-10,16.10,16.85,15.95,16.82,10991400,8.41
-2001-10-09,16.05,16.20,15.63,16.00,6215200,8.00
-2001-10-08,15.57,16.35,15.50,16.20,7428000,8.10
-2001-10-05,15.40,16.15,14.99,16.14,12238800,8.07
-2001-10-04,15.35,16.25,14.99,15.88,14325800,7.94
-2001-10-03,14.95,15.36,14.83,14.98,24394400,7.49
-2001-10-02,15.43,15.83,14.88,15.05,8424400,7.53
-2001-10-01,15.49,15.99,15.23,15.54,7436000,7.77
-2001-09-28,15.71,15.91,15.39,15.51,13039600,7.76
-2001-09-27,15.25,15.75,15.20,15.51,11508600,7.76
-2001-09-26,15.81,15.89,14.93,15.15,17635600,7.57
-2001-09-25,16.14,16.22,15.35,15.54,13371600,7.77
-2001-09-24,16.11,16.84,15.95,16.45,10519200,8.23
-2001-09-21,14.80,16.25,14.68,15.73,20375600,7.86
-2001-09-20,16.29,16.95,15.50,15.68,14684800,7.84
-2001-09-19,16.50,17.10,15.60,17.02,13332800,8.51
-2001-09-18,16.90,17.72,16.17,16.28,11682200,8.14
-2001-09-17,16.00,17.07,15.73,16.99,16357400,8.49
-2001-09-10,17.00,17.50,16.92,17.37,11030200,8.69
-2001-09-07,17.50,18.10,17.20,17.28,8636800,8.64
-2001-09-06,18.40,18.93,17.65,17.72,10084600,8.86
-2001-09-05,18.24,18.95,18.12,18.55,12859200,9.27
-2001-09-04,18.50,19.08,18.18,18.25,12436200,9.12
-2001-08-31,17.73,18.60,17.65,18.55,7746600,9.27
-2001-08-30,17.74,18.18,17.28,17.83,13167600,8.91
-2001-08-29,18.44,18.83,17.83,17.83,8570400,8.91
-2001-08-28,18.90,19.14,18.40,18.40,6133400,9.20
-2001-08-27,18.60,19.30,18.16,18.92,6273000,9.46
-2001-08-24,18.00,18.62,17.65,18.57,10369000,9.28
-2001-08-23,18.20,18.34,17.58,17.81,7752800,8.90
-2001-08-22,17.94,18.25,17.61,18.21,6213400,9.10
-2001-08-21,18.14,18.14,17.70,17.92,6632200,8.96
-2001-08-20,18.14,18.23,17.81,18.12,9010800,9.06
-2001-08-17,18.00,18.45,17.99,18.07,7443800,9.03
-2001-08-16,18.27,18.75,17.97,18.65,10289000,9.32
-2001-08-15,18.76,18.94,18.20,18.44,10331400,9.22
-2001-08-14,19.20,19.36,18.67,18.73,8176800,9.36
-2001-08-13,19.10,19.33,18.76,19.09,5285600,9.55
-2001-08-10,19.04,19.32,18.59,19.02,6677200,9.51
-2001-08-09,18.96,19.15,18.72,19.05,7166600,9.52
-2001-08-08,19.26,19.70,18.54,18.90,9863200,9.45
-2001-08-07,19.33,19.67,18.98,19.25,6019600,9.62
-2001-08-06,19.04,19.66,19.00,19.13,3559000,9.56
-2001-08-03,19.89,19.90,19.00,19.50,6644800,9.75
-2001-08-02,19.65,19.87,19.26,19.82,9003200,9.91
-2001-08-01,19.01,19.78,18.95,19.06,10862000,9.53
-2001-07-31,19.27,19.42,18.51,18.79,8393800,9.40
-2001-07-30,19.12,19.36,18.51,18.93,8691400,9.47
-2001-07-27,18.75,19.25,18.50,18.96,11933400,9.48
-2001-07-26,18.48,18.80,17.85,18.59,13183600,9.30
-2001-07-25,19.12,19.30,17.97,18.47,15852800,9.23
-2001-07-24,19.39,19.92,18.73,19.09,12442000,9.55
-2001-07-23,20.09,20.50,19.51,19.54,8620000,9.77
-2001-07-20,19.70,20.06,19.49,19.98,15878000,9.99
-2001-07-19,21.23,21.42,19.75,19.96,30755000,9.98
-2001-07-18,21.78,22.78,20.42,20.79,40607600,10.40
-2001-07-17,23.98,25.22,23.01,25.10,23136800,12.55
-2001-07-16,24.88,25.10,23.91,23.96,9952400,11.98
-2001-07-13,24.13,25.01,23.84,24.85,16240800,12.43
-2001-07-12,23.30,24.81,23.30,24.36,21957200,12.18
-2001-07-11,21.03,22.55,21.00,22.54,16803800,11.27
-2001-07-10,22.95,23.07,20.84,21.14,14116800,10.57
-2001-07-09,22.09,23.00,21.68,22.70,12052400,11.35
-2001-07-06,22.76,22.96,21.72,22.03,10818600,11.02
-2001-07-05,23.60,23.77,23.01,23.19,5439000,11.60
-2001-07-03,23.51,24.18,23.50,23.84,4019400,11.92
-2001-07-02,23.64,24.23,23.14,23.90,8216000,11.95
-2001-06-29,23.66,25.10,23.20,23.25,18406800,11.62
-2001-06-28,23.05,23.91,22.94,23.54,12443200,11.77
-2001-06-27,23.83,24.00,22.50,23.34,13361800,11.67
-2001-06-26,23.34,23.77,23.01,23.75,9742200,11.88
-2001-06-25,22.50,24.00,22.45,23.99,15698200,11.99
-2001-06-22,22.48,23.00,21.76,22.26,10215200,11.13
-2001-06-21,21.55,23.00,21.10,22.49,12190400,11.24
-2001-06-20,20.00,21.85,19.98,21.67,15415000,10.84
-2001-06-19,20.85,21.40,20.01,20.19,11467400,10.10
-2001-06-18,20.41,20.85,20.00,20.33,12354000,10.16
-2001-06-15,20.10,20.75,19.35,20.44,16236600,10.22
-2001-06-14,20.04,20.45,19.77,19.88,10619600,9.94
-2001-06-13,21.42,21.73,20.06,20.47,18267400,10.23
-2001-06-12,19.77,20.69,19.76,20.31,10849800,10.15
-2001-06-11,21.05,21.07,19.95,20.04,10500000,10.02
-2001-06-08,21.65,21.65,20.71,21.32,12236600,10.66
-2001-06-07,20.71,21.70,20.45,21.66,11613600,10.83
-2001-06-06,20.93,20.93,20.33,20.73,7970600,10.36
-2001-06-05,20.80,21.10,20.35,20.94,16849800,10.47
-2001-06-04,21.08,21.11,20.46,20.66,10068600,10.33
-2001-06-01,20.13,21.09,19.98,20.89,16288400,10.44
-2001-05-31,19.80,20.24,19.49,19.95,15817600,9.98
-2001-05-30,20.76,20.76,19.30,19.78,27752800,9.89
-2001-05-29,22.32,22.50,20.81,21.47,18428200,10.73
-2001-05-25,23.20,23.29,22.50,22.76,5669400,11.38
-2001-05-24,23.29,23.30,22.62,23.20,9705600,11.60
-2001-05-23,23.75,23.75,22.86,23.23,10037200,11.61
-2001-05-22,24.00,24.13,23.40,23.50,14747000,11.75
-2001-05-21,23.63,23.91,23.05,23.56,16464200,11.78
-2001-05-18,23.36,23.64,23.12,23.53,5680400,11.77
-2001-05-17,24.23,24.33,23.25,23.55,11861400,11.77
-2001-05-16,23.26,24.50,22.85,24.10,11511800,12.05
-2001-05-15,23.37,25.50,23.04,23.18,8465200,11.59
-2001-05-14,22.89,23.68,22.75,23.29,11043600,11.65
-2001-05-11,23.01,23.49,22.76,22.85,7251600,11.43
-2001-05-10,24.21,24.50,22.95,23.00,10320600,11.50
-2001-05-09,24.14,24.55,23.67,23.98,11603200,11.99
-2001-05-08,25.35,25.45,23.95,24.57,11265600,12.28
-2001-05-07,25.62,25.76,24.84,24.96,9876800,12.48
-2001-05-04,24.24,25.85,23.96,25.75,10037600,12.88
-2001-05-03,25.97,26.25,24.73,24.96,10769400,12.48
-2001-05-02,26.34,26.70,25.76,26.59,13161600,13.30
-2001-05-01,25.41,26.50,25.20,25.93,15259000,12.97
-2001-04-30,26.70,27.12,24.87,25.49,17670600,12.74
-2001-04-27,25.20,26.29,24.75,26.20,16179000,13.10
-2001-04-26,25.17,26.10,24.68,24.69,28560600,12.35
-2001-04-25,24.21,24.86,23.57,24.72,11813600,12.36
-2001-04-24,24.33,24.75,23.51,24.03,13469200,12.02
-2001-04-23,24.34,25.00,24.00,24.25,19340200,12.12
-2001-04-20,24.93,25.63,24.60,25.04,24764400,12.52
-2001-04-19,25.55,25.75,23.60,25.72,66916800,12.86
-2001-04-18,21.57,24.08,21.08,22.79,39315800,11.40
-2001-04-17,21.20,21.21,19.60,20.40,24471400,10.20
-2001-04-16,22.09,22.40,20.86,21.44,10186600,10.72
-2001-04-12,21.42,23.02,21.15,22.42,10676200,11.21
-2001-04-11,22.98,23.00,21.28,21.80,11932000,10.90
-2001-04-10,20.90,22.70,20.78,22.04,16334800,11.02
-2001-04-09,20.69,21.34,20.06,20.54,9520800,10.27
-2001-04-06,20.80,21.04,19.90,20.59,11603200,10.30
-2001-04-05,20.60,22.50,20.00,20.87,15955800,10.44
-2001-04-04,19.76,20.25,18.75,19.50,24481600,9.75
-2001-04-03,21.36,21.40,20.13,20.24,13167400,10.12
-2001-04-02,22.09,22.66,21.40,21.59,12175400,10.80
-2001-03-30,22.55,22.72,21.34,22.07,14298200,11.03
-2001-03-29,21.77,23.45,21.50,22.53,21895200,11.27
-2001-03-28,22.08,22.50,21.50,22.17,20880800,11.09
-2001-03-27,21.94,23.05,21.90,22.87,19422200,11.44
-2001-03-26,23.13,23.75,21.13,21.78,26230400,10.89
-2001-03-23,22.06,23.56,22.00,23.00,33749400,11.50
-2001-03-22,20.37,21.75,20.19,21.62,25839000,10.81
-2001-03-21,19.78,20.87,19.37,20.12,13265400,10.06
-2001-03-20,20.72,20.94,19.69,19.69,17833800,9.85
-2001-03-19,19.75,20.62,19.50,20.56,12722800,10.28
-2001-03-16,19.00,20.31,18.87,19.62,16806600,9.81
-2001-03-15,20.87,21.37,19.69,19.69,18906600,9.85
-2001-03-14,18.50,20.50,18.44,20.44,17065400,10.22
-2001-03-13,18.87,19.56,18.19,19.56,15840600,9.78
-2001-03-12,19.69,19.87,18.12,18.62,13967800,9.31
-2001-03-09,20.62,20.69,20.00,20.25,10685400,10.12
-2001-03-08,20.69,21.12,20.44,20.81,7325600,10.40
-2001-03-07,21.31,21.62,20.75,21.25,14985600,10.62
-2001-03-06,20.72,22.06,20.69,21.50,26144600,10.75
-2001-03-05,19.37,20.50,19.25,20.37,11587600,10.19
-2001-03-02,18.31,20.44,18.25,19.25,14511200,9.62
-2001-03-01,17.81,18.75,17.19,18.75,11803400,9.38
-2001-02-28,19.37,19.44,18.12,18.25,18157600,9.12
-2001-02-27,19.28,19.44,18.69,19.37,12451000,9.69
-2001-02-26,19.06,19.69,18.56,19.50,7380000,9.75
-2001-02-23,18.62,18.87,18.25,18.81,10503800,9.40
-2001-02-22,19.06,19.37,18.00,18.81,15431200,9.40
-2001-02-21,18.25,19.94,18.25,18.87,13947800,9.44
-2001-02-20,19.19,19.44,18.19,18.31,11249600,9.15
-2001-02-16,19.00,19.50,18.75,19.00,9428400,9.50
-2001-02-15,19.69,20.56,19.69,20.06,11123200,10.03
-2001-02-14,19.19,19.62,18.50,19.50,11040000,9.75
-2001-02-13,19.94,20.44,19.00,19.12,8470600,9.56
-2001-02-12,19.06,20.00,18.81,19.69,9795600,9.85
-2001-02-09,20.50,20.81,18.69,19.12,21082600,9.56
-2001-02-08,20.56,21.06,20.19,20.75,21585000,10.38
-2001-02-07,20.66,20.87,19.81,20.75,14071600,10.38
-2001-02-06,20.16,21.39,20.00,21.12,16528400,10.56
-2001-02-05,20.50,20.56,19.75,20.19,10228800,10.10
-2001-02-02,21.12,21.94,20.50,20.62,15263400,10.31
-2001-02-01,20.69,21.50,20.50,21.12,13205400,10.56
-2001-01-31,21.50,22.50,21.44,21.62,26106000,10.81
-2001-01-30,21.56,22.00,20.87,21.75,24734600,10.88
-2001-01-29,19.56,21.75,19.56,21.69,30562800,10.85
-2001-01-26,19.50,19.81,19.06,19.56,17245600,9.78
-2001-01-25,20.56,20.56,19.75,19.94,17495000,9.97
-2001-01-24,20.62,20.69,19.56,20.50,25616200,10.25
-2001-01-23,19.31,20.94,19.06,20.50,31418400,10.25
-2001-01-22,19.06,19.62,18.44,19.25,18551600,9.62
-2001-01-19,19.44,19.56,18.69,19.50,27748200,9.75
-2001-01-18,17.81,18.75,17.62,18.69,43822800,9.35
-2001-01-17,17.56,17.56,16.50,16.81,30037600,8.40
-2001-01-16,17.44,18.25,17.00,17.12,10940000,8.56
-2001-01-12,17.87,18.00,17.06,17.19,15121000,8.60
-2001-01-11,16.25,18.50,16.25,18.00,28707600,9.00
-2001-01-10,16.69,17.00,16.06,16.56,20743400,8.28
-2001-01-09,16.81,17.64,16.56,17.19,21040600,8.60
-2001-01-08,16.94,16.98,15.94,16.56,13350000,8.28
-2001-01-05,16.94,17.37,16.06,16.37,14731000,8.19
-2001-01-04,18.14,18.50,16.81,17.06,26411000,8.53
-2001-01-03,14.50,16.69,14.44,16.37,29181800,8.19
-2001-01-02,14.88,15.25,14.56,14.88,16161800,7.44
-2000-12-29,14.69,15.00,14.50,14.88,22518800,7.44
-2000-12-28,14.38,14.94,14.31,14.81,10910000,7.41
-2000-12-27,14.34,14.81,14.19,14.81,11626000,7.41
-2000-12-26,14.88,15.00,14.25,14.69,7745400,7.34
-2000-12-22,14.13,15.00,14.13,15.00,11369600,7.50
-2000-12-21,14.25,15.00,13.88,14.06,13102600,7.03
-2000-12-20,13.78,14.63,13.63,14.38,20196200,7.19
-2000-12-19,14.38,15.25,14.00,14.00,13367200,7.00
-2000-12-18,14.56,14.63,13.94,14.25,11645000,7.12
-2000-12-15,14.56,14.69,14.00,14.06,18363800,7.03
-2000-12-14,15.03,15.25,14.44,14.44,9406600,7.22
-2000-12-13,15.56,15.56,14.88,15.00,12327200,7.50
-2000-12-12,15.25,16.00,15.00,15.38,13803400,7.69
-2000-12-11,15.19,15.38,14.88,15.19,11884000,7.59
-2000-12-08,14.81,15.31,14.44,15.06,15568200,7.53
-2000-12-07,14.44,14.88,14.00,14.31,14606600,7.16
-2000-12-06,14.63,15.00,14.00,14.31,49092400,7.16
-2000-12-05,16.94,17.44,16.37,17.00,21932200,8.50
-2000-12-04,17.19,17.19,16.44,16.69,13273400,8.35
-2000-12-01,17.00,17.50,16.81,17.06,13783800,8.53
-2000-11-30,16.69,17.00,16.12,16.50,28922200,8.25
-2000-11-29,18.09,18.31,17.25,17.56,17586200,8.78
-2000-11-28,18.69,19.00,17.94,18.03,9618200,9.02
-2000-11-27,19.87,19.94,18.50,18.69,9244000,9.35
-2000-11-24,18.86,19.50,18.81,19.31,5751800,9.65
-2000-11-22,18.81,19.12,18.37,18.50,10029600,9.25
-2000-11-21,19.19,19.50,18.75,18.81,10786200,9.40
-2000-11-20,18.59,19.50,18.25,18.94,14581600,9.47
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-2000-02-29,113.56,117.25,112.56,114.62,13186800,28.66
-2000-02-28,110.12,115.00,108.37,113.25,11729200,28.31
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-2000-01-21,114.25,114.25,110.19,111.31,17729200,27.83
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-2000-01-19,105.62,108.75,103.37,106.56,21358000,26.64
-2000-01-18,101.00,106.00,100.44,103.94,16421200,25.99
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-2000-01-13,94.48,98.75,92.50,96.75,36882400,24.19
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-2000-01-07,96.50,101.00,95.50,99.50,16463200,24.88
-2000-01-06,106.12,107.00,95.00,95.00,27443200,23.75
-2000-01-05,103.75,110.56,103.00,104.00,27818000,26.00
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-1999-12-13,102.39,102.50,98.94,99.00,18931200,24.75
-1999-12-10,105.31,109.25,99.00,103.00,22786800,25.75
-1999-12-09,111.00,111.00,100.87,105.25,30555600,26.31
-1999-12-08,116.25,117.87,109.50,110.06,14730800,27.51
-1999-12-07,116.56,118.00,114.00,117.81,15901200,29.45
-1999-12-06,114.56,117.31,111.44,116.00,16688000,29.00
-1999-12-03,112.19,115.56,111.87,115.00,23151200,28.75
-1999-12-02,103.12,110.62,101.75,110.19,20275600,27.55
-1999-12-01,101.00,104.50,100.06,103.06,22098000,25.76
-1999-11-30,98.12,103.75,97.37,97.87,30132400,24.47
-1999-11-29,94.25,99.75,93.25,94.56,16586800,23.64
-1999-11-26,94.75,95.50,94.12,95.06,4737600,23.76
-1999-11-24,93.00,95.00,91.69,94.69,7683600,23.67
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-1998-11-24,36.13,36.75,35.75,35.94,11430800,8.98
-1998-11-23,35.56,36.81,35.19,36.25,20642000,9.06
-1998-11-20,36.44,36.75,34.75,35.31,14268000,8.83
-1998-11-19,35.50,37.19,35.44,35.75,12385200,8.94
-1998-11-18,35.19,36.00,34.88,35.44,11781200,8.86
-1998-11-17,35.75,35.81,34.75,34.81,7529200,8.70
-1998-11-16,35.94,36.75,35.44,36.00,13740800,9.00
-1998-11-13,34.94,36.06,34.69,35.69,28301200,8.92
-1998-11-12,33.13,34.44,32.88,34.00,21261200,8.50
-1998-11-11,35.75,35.81,32.75,33.56,33895200,8.39
-1998-11-10,36.19,36.25,35.00,35.13,31576800,8.78
-1998-11-09,37.69,38.13,35.50,36.63,23622000,9.16
-1998-11-06,37.88,38.25,37.25,38.06,28496800,9.52
-1998-11-05,38.38,39.38,38.06,38.19,21684400,9.55
-1998-11-04,38.56,39.13,38.13,38.69,22438000,9.67
-1998-11-03,37.38,38.25,37.31,37.81,13247600,9.45
-1998-11-02,37.50,37.75,37.25,37.63,9076400,9.41
-1998-10-30,36.81,37.50,36.25,37.13,11358000,9.28
-1998-10-29,36.44,37.44,35.81,36.44,12321200,9.11
-1998-10-28,35.25,37.00,35.13,36.81,13006400,9.20
-1998-10-27,38.00,38.94,35.06,35.25,19233200,8.81
-1998-10-26,36.06,37.75,35.50,37.44,17013600,9.36
-1998-10-23,36.75,36.88,35.13,35.50,12732400,8.88
-1998-10-22,36.88,37.63,36.25,36.75,11343200,9.19
-1998-10-21,36.75,37.44,35.75,37.13,15390000,9.28
-1998-10-20,37.94,38.19,36.00,36.06,13649200,9.02
-1998-10-19,36.69,38.06,35.88,37.50,17010000,9.38
-1998-10-16,37.13,38.06,36.50,36.69,21998000,9.17
-1998-10-15,36.25,37.25,35.50,36.63,30037600,9.16
-1998-10-14,39.75,41.31,36.81,37.38,81445600,9.35
-1998-10-13,38.06,39.19,36.00,38.75,33646400,9.69
-1998-10-12,37.50,38.44,36.56,37.44,22250000,9.36
-1998-10-09,31.75,35.25,30.75,35.13,23880000,8.78
-1998-10-08,31.00,31.19,28.50,30.81,24623200,7.70
-1998-10-07,32.38,33.31,31.87,31.94,16920000,7.99
-1998-10-06,33.69,34.31,32.50,32.56,14281200,8.14
-1998-10-05,34.00,34.56,31.50,32.19,19726800,8.05
-1998-10-02,35.50,36.25,34.13,35.06,16998800,8.77
-1998-10-01,36.75,38.00,35.38,35.69,13234400,8.92
-1998-09-30,38.75,39.25,38.00,38.13,5976800,9.53
-1998-09-29,39.06,40.00,38.13,39.50,10907600,9.88
-1998-09-28,39.75,40.19,38.00,39.06,14501200,9.77
-1998-09-25,38.19,39.19,37.63,38.75,8172000,9.69
-1998-09-24,37.88,39.56,37.75,38.50,17246800,9.62
-1998-09-23,37.25,38.38,36.56,38.31,10284400,9.58
-1998-09-22,37.13,37.63,36.38,37.00,9218800,9.25
-1998-09-21,35.69,36.94,35.31,36.94,10570800,9.23
-1998-09-18,36.06,36.75,35.56,36.75,10904400,9.19
-1998-09-17,36.06,37.13,35.88,36.00,9627600,9.00
-1998-09-16,38.63,38.75,37.00,37.31,9248800,9.33
-1998-09-15,36.75,38.56,36.50,38.19,15492000,9.55
-1998-09-14,38.25,38.81,37.13,37.19,8837600,9.30
-1998-09-11,38.50,39.63,36.88,37.63,12593600,9.41
-1998-09-10,36.25,38.25,35.75,38.13,18826800,9.53
-1998-09-09,38.06,38.13,37.00,37.38,12683200,9.35
-1998-09-08,38.00,38.25,36.75,38.25,14400000,9.56
-1998-09-04,35.50,36.44,33.75,35.13,13493200,8.78
-1998-09-03,35.00,35.13,34.00,34.63,14653200,8.66
-1998-09-02,35.50,37.38,35.25,35.56,30122400,8.89
-1998-09-01,31.37,35.38,30.62,34.13,31060000,8.53
-1998-08-31,34.75,34.88,31.00,31.19,31012400,7.80
-1998-08-28,37.13,38.50,34.13,34.19,33303200,8.55
-1998-08-27,39.25,39.25,35.63,37.50,39813600,9.38
-1998-08-26,39.88,41.13,39.50,40.38,14538000,10.10
-1998-08-25,42.38,42.38,40.31,40.81,17709200,10.20
-1998-08-24,43.44,43.50,40.13,41.19,21810000,10.30
-1998-08-21,40.00,43.56,39.00,43.00,29054400,10.75
-1998-08-20,41.00,41.13,40.25,40.63,14018000,10.16
-1998-08-19,43.50,43.75,41.00,41.00,17377600,10.25
-1998-08-18,42.44,43.38,42.25,42.56,21642000,10.64
-1998-08-17,41.00,42.81,39.88,41.94,33248800,10.48
-1998-08-14,40.69,40.75,39.50,40.50,16110000,10.12
-1998-08-13,39.94,40.75,39.38,39.44,13976800,9.86
-1998-08-12,39.75,40.94,39.48,40.06,24654400,10.02
-1998-08-11,37.75,41.00,37.38,39.00,62860000,9.75
-1998-08-10,36.31,38.06,36.25,37.94,17455600,9.48
-1998-08-07,37.19,37.38,36.00,36.50,10645600,9.12
-1998-08-06,35.06,36.88,34.88,36.88,15678800,9.22
-1998-08-05,33.75,36.00,33.50,36.00,16226800,9.00
-1998-08-04,35.50,36.00,34.00,34.19,10506800,8.55
-1998-08-03,34.25,35.56,33.25,35.13,10786800,8.78
-1998-07-31,36.63,36.75,34.50,34.63,6550800,8.66
-1998-07-30,35.81,36.75,35.50,36.50,12950000,9.12
-1998-07-29,33.75,35.88,33.69,35.13,16006800,8.78
-1998-07-28,34.06,34.63,33.00,33.63,8054400,8.41
-1998-07-27,34.25,34.88,33.25,34.44,7657600,8.61
-1998-07-24,35.38,35.50,33.81,34.69,9693600,8.67
-1998-07-23,34.81,35.63,34.75,34.94,9040800,8.73
-1998-07-22,34.94,35.63,34.25,35.00,10040800,8.75
-1998-07-21,36.13,37.00,35.56,35.63,11772400,8.91
-1998-07-20,36.56,36.63,35.50,36.25,13727600,9.06
-1998-07-17,37.25,37.25,36.19,36.88,22486400,9.22
-1998-07-16,37.88,38.13,35.75,37.50,91497600,9.38
-1998-07-15,33.69,34.69,33.50,34.44,21253600,8.61
-1998-07-14,33.94,34.00,33.13,33.44,19607600,8.36
-1998-07-13,31.94,34.13,31.87,33.94,25566400,8.48
-1998-07-10,32.19,32.63,31.75,32.06,10806800,8.02
-1998-07-09,32.94,33.63,31.44,31.69,20256400,7.92
-1998-07-08,30.75,32.94,30.69,32.56,33334400,8.14
-1998-07-07,30.37,30.87,30.00,30.50,8637600,7.62
-1998-07-06,29.50,30.37,29.12,30.37,9697600,7.59
-1998-07-02,29.69,30.06,29.00,29.00,10650800,7.25
-1998-07-01,28.87,30.00,28.50,29.94,11228800,7.49
-1998-06-30,28.62,28.81,28.12,28.69,4681200,7.17
-1998-06-29,28.25,28.81,28.06,28.69,5943600,7.17
-1998-06-26,28.50,28.62,27.75,28.19,3973200,7.05
-1998-06-25,28.56,28.81,28.31,28.56,6856400,7.14
-1998-06-24,27.75,28.62,27.31,28.25,9788800,7.06
-1998-06-23,27.44,28.12,27.25,27.81,8258800,6.95
-1998-06-22,27.00,27.56,26.75,27.37,4809200,6.84
-1998-06-19,27.37,27.44,26.75,27.06,4931200,6.76
-1998-06-18,27.75,28.06,27.19,27.31,4288800,6.83
-1998-06-17,28.00,28.56,27.94,28.12,6687600,7.03
-1998-06-16,27.69,28.12,27.31,28.00,4649200,7.00
-1998-06-15,27.25,28.25,27.25,27.50,4881200,6.88
-1998-06-12,27.62,28.25,27.37,28.12,8014400,7.03
-1998-06-11,28.19,28.62,27.81,27.81,6451200,6.95
-1998-06-10,28.00,29.00,27.62,28.06,8202000,7.01
-1998-06-09,27.37,28.50,27.37,28.25,9852400,7.06
-1998-06-08,27.00,27.69,26.81,27.25,4523600,6.81
-1998-06-05,26.87,27.25,26.37,26.87,4406800,6.72
-1998-06-04,26.62,26.87,25.81,26.81,5585600,6.70
-1998-06-03,27.12,27.25,26.19,26.31,5196800,6.58
-1998-06-02,26.44,27.31,26.00,26.87,6405600,6.72
-1998-06-01,26.50,27.62,25.62,26.25,11427600,6.56
-1998-05-29,27.50,27.56,26.44,26.62,7751200,6.66
-1998-05-28,26.75,27.87,26.75,27.44,10672000,6.86
-1998-05-27,25.69,26.81,25.62,26.75,13233200,6.69
-1998-05-26,28.06,28.25,26.62,26.69,11143200,6.67
-1998-05-22,28.75,28.75,27.31,27.87,9522000,6.97
-1998-05-21,29.56,29.69,28.62,28.87,4700000,7.22
-1998-05-20,29.62,29.87,28.75,29.56,6810000,7.39
-1998-05-19,28.94,29.44,28.81,29.37,7815200,7.34
-1998-05-18,29.37,29.56,28.37,28.50,8310800,7.12
-1998-05-15,30.06,30.37,29.25,29.56,9743600,7.39
-1998-05-14,30.37,30.44,29.75,30.06,5815600,7.51
-1998-05-13,30.06,30.81,29.62,30.44,11245600,7.61
-1998-05-12,30.56,30.75,29.94,30.12,9212000,7.53
-1998-05-11,30.87,31.62,30.75,30.94,23768000,7.74
-1998-05-08,30.06,30.50,29.94,30.44,9690000,7.61
-1998-05-07,30.56,30.62,29.87,30.19,19761200,7.55
-1998-05-06,29.87,30.44,29.25,30.31,32056400,7.58
-1998-05-05,29.25,29.87,29.12,29.69,14982400,7.42
-1998-05-04,28.87,29.50,28.87,29.06,20419200,7.26
-1998-05-01,27.50,28.25,26.87,28.00,6582000,7.00
-1998-04-30,27.37,27.62,27.06,27.37,6442000,6.84
-1998-04-29,26.94,27.44,26.75,27.00,6774400,6.75
-1998-04-28,27.87,28.00,26.25,26.94,8487600,6.74
-1998-04-27,26.75,27.75,26.75,27.75,14655600,6.94
-1998-04-24,27.75,28.25,27.50,27.94,7708000,6.99
-1998-04-23,27.44,29.00,27.19,27.69,16983200,6.92
-1998-04-22,28.75,29.00,27.50,27.50,10186400,6.88
-1998-04-21,29.06,29.12,28.50,29.00,12446400,7.25
-1998-04-20,27.62,29.50,27.56,29.00,18498800,7.25
-1998-04-17,28.56,28.62,27.69,27.94,21165200,6.99
-1998-04-16,29.25,29.62,28.19,28.62,65642000,7.16
-1998-04-15,27.19,27.50,26.62,27.44,19928800,6.86
-1998-04-14,26.37,27.25,26.37,26.94,11725200,6.74
-1998-04-13,25.62,26.69,25.00,26.44,10305600,6.61
-1998-04-09,25.06,25.87,25.00,25.62,6083600,6.41
-1998-04-08,25.25,25.37,24.69,25.00,8044400,6.25
-1998-04-07,25.81,26.00,24.87,25.50,10461200,6.38
-1998-04-06,27.00,27.00,26.19,26.25,12422000,6.56
-1998-04-03,27.12,27.25,26.81,27.06,7259200,6.76
-1998-04-02,27.31,27.44,26.94,27.31,6950800,6.83
-1998-04-01,27.44,27.81,27.06,27.50,6693600,6.88
-1998-03-31,27.44,27.81,27.25,27.50,9538800,6.88
-1998-03-30,26.75,27.50,26.75,27.44,8972400,6.86
-1998-03-27,26.62,27.31,26.37,26.94,9133200,6.74
-1998-03-26,26.75,27.00,26.44,26.56,7253600,6.64
-1998-03-25,27.62,27.75,26.37,27.16,13854400,6.79
-1998-03-24,26.37,28.00,26.25,28.00,24152000,7.00
-1998-03-23,25.94,26.25,24.62,26.12,14818800,6.53
-1998-03-20,26.69,26.87,26.00,26.37,7704400,6.59
-1998-03-19,26.87,26.94,26.56,26.75,5736800,6.69
-1998-03-18,26.00,26.94,26.00,26.94,9900000,6.74
-1998-03-17,26.50,26.69,25.87,26.34,14658800,6.59
-1998-03-16,27.12,27.25,26.19,26.69,14375600,6.67
-1998-03-13,27.25,27.25,26.25,27.12,20231200,6.78
-1998-03-12,26.12,27.00,25.56,27.00,26598000,6.75
-1998-03-11,25.12,26.19,24.56,26.12,43374400,6.53
-1998-03-10,23.00,24.50,22.94,24.06,25472400,6.01
-1998-03-09,23.75,24.31,22.50,22.75,20540800,5.69
-1998-03-06,23.87,24.50,23.37,24.44,23803600,6.11
-1998-03-05,23.25,24.25,23.12,24.06,24129200,6.01
-1998-03-04,22.87,24.75,22.87,24.44,29212400,6.11
-1998-03-03,21.87,23.19,21.62,23.12,11937600,5.78
-1998-03-02,23.56,23.56,22.25,22.75,14313600,5.69
-1998-02-27,23.31,23.87,22.56,23.62,18578000,5.91
-1998-02-26,22.31,23.56,21.87,23.50,21263200,5.88
-1998-02-25,21.31,22.75,20.94,22.31,25459200,5.58
-1998-02-24,21.31,21.37,20.75,21.31,16322000,5.33
-1998-02-23,20.12,21.62,20.00,21.25,17060800,5.31
-1998-02-20,20.50,20.56,19.81,20.00,11634400,5.00
-1998-02-19,20.87,20.94,20.00,20.44,14292400,5.11
-1998-02-18,19.56,20.75,19.56,20.56,17677600,5.14
-1998-02-17,19.50,19.75,19.50,19.62,6530800,4.91
-1998-02-13,19.19,19.87,19.00,19.50,7444400,4.88
-1998-02-12,19.12,19.44,19.06,19.37,7297600,4.84
-1998-02-11,19.50,19.50,18.87,19.00,7582000,4.75
-1998-02-10,19.12,19.56,19.06,19.44,15090000,4.86
-1998-02-09,18.37,19.50,18.37,19.19,17682000,4.80
-1998-02-06,18.37,18.69,18.25,18.50,7241200,4.62
-1998-02-05,18.25,18.50,18.00,18.31,8526400,4.58
-1998-02-04,18.06,18.50,18.00,18.25,6100000,4.56
-1998-02-03,17.69,18.62,17.69,18.31,14390000,4.58
-1998-02-02,18.50,18.50,17.37,17.69,22752400,4.42
-1998-01-30,18.31,18.87,18.25,18.31,5802400,4.58
-1998-01-29,18.94,19.12,18.50,18.50,7571200,4.62
-1998-01-28,19.19,19.37,18.62,19.19,5418000,4.80
-1998-01-27,19.19,19.69,19.00,19.12,4013200,4.78
-1998-01-26,19.44,19.56,18.81,19.44,5246800,4.86
-1998-01-23,19.37,19.69,19.25,19.50,8331200,4.88
-1998-01-22,18.69,19.75,18.62,19.25,11785200,4.81
-1998-01-21,18.75,19.06,18.56,18.91,6812000,4.73
-1998-01-20,19.06,19.31,18.62,19.06,8642400,4.76
-1998-01-16,19.44,19.44,18.69,18.81,8820000,4.70
-1998-01-15,19.19,19.75,18.62,19.19,19982000,4.80
-1998-01-14,19.87,19.94,19.25,19.75,21048000,4.94
-1998-01-13,18.62,19.62,18.50,19.50,22758800,4.88
-1998-01-12,17.44,18.62,17.12,18.25,18444400,4.56
-1998-01-09,18.12,19.37,17.50,18.19,31675200,4.55
-1998-01-08,17.44,18.62,16.94,18.19,27645600,4.55
-1998-01-07,18.81,19.00,17.31,17.50,37201200,4.38
-1998-01-06,15.94,20.00,14.75,18.94,64737600,4.74
-1998-01-05,16.50,16.56,15.19,15.88,23282000,3.97
-1998-01-02,13.63,16.25,13.50,16.25,25650800,4.06
-1997-12-31,13.13,13.63,12.94,13.13,14531200,3.28
-1997-12-30,13.00,13.44,12.75,13.19,12250800,3.30
-1997-12-29,13.31,13.44,12.88,13.13,9944400,3.28
-1997-12-26,13.06,13.38,13.00,13.31,3860000,3.33
-1997-12-24,13.00,13.25,13.00,13.13,3502000,3.28
-1997-12-23,13.13,13.31,12.94,12.94,16402000,3.23
-1997-12-22,13.88,14.00,13.19,13.31,5704400,3.33
-1997-12-19,13.56,13.88,13.25,13.69,6812000,3.42
-1997-12-18,14.00,14.00,13.75,13.81,7225200,3.45
-1997-12-17,14.31,14.56,13.94,13.94,9494400,3.48
-1997-12-16,14.00,14.38,14.00,14.31,6646400,3.58
-1997-12-15,14.13,14.25,13.75,13.94,5927600,3.48
-1997-12-12,14.75,14.88,14.00,14.13,5742400,3.53
-1997-12-11,14.44,14.56,13.88,14.56,9185600,3.64
-1997-12-10,15.06,15.06,14.50,14.75,6960000,3.69
-1997-12-09,15.50,15.69,15.00,15.25,8680800,3.81
-1997-12-08,15.56,15.75,15.38,15.56,4776800,3.89
-1997-12-05,15.56,16.00,15.56,15.81,7926400,3.95
-1997-12-04,16.00,16.00,15.63,15.63,7135600,3.91
-1997-12-03,16.06,16.12,15.69,15.75,12258800,3.94
-1997-12-02,17.37,17.50,15.88,15.88,14178800,3.97
-1997-12-01,17.69,17.94,17.25,17.75,3135600,4.44
-1997-11-28,17.62,17.87,17.44,17.75,1495600,4.44
-1997-11-26,17.37,17.69,17.25,17.50,2178800,4.38
-1997-11-25,17.69,17.87,16.87,17.37,7346400,4.34
-1997-11-24,17.56,18.00,17.50,17.62,5630800,4.41
-1997-11-21,18.62,18.69,18.00,18.19,3498800,4.55
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-1997-08-22,23.44,24.00,23.37,23.62,8135200,5.91
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-1997-08-19,23.69,24.50,23.31,24.44,10331200,6.11
-1997-08-18,23.31,23.75,22.75,23.62,7791200,5.91
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-1997-08-08,27.81,28.37,26.12,26.81,64809200,6.70
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-1997-02-19,17.87,17.87,17.12,17.62,8627600,4.41
-1997-02-18,16.62,17.87,16.25,17.87,13171200,4.47
-1997-02-14,16.25,16.37,16.00,16.31,8492000,4.08
-1997-02-13,15.75,16.12,15.50,16.12,7013200,4.03
-1997-02-12,15.75,15.88,15.50,15.75,6303600,3.94
-1997-02-11,15.88,16.00,15.50,15.69,5004400,3.92
-1997-02-10,16.12,16.12,15.63,15.63,6633600,3.91
-1997-02-07,16.50,16.50,15.75,15.81,8403600,3.95
-1997-02-06,15.25,16.12,15.25,16.00,14283600,4.00
-1997-02-05,15.25,15.63,15.25,15.25,14093600,3.81
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-1997-02-03,16.87,17.00,16.25,16.31,13162000,4.08
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-1997-01-28,17.00,17.00,16.50,16.62,7520000,4.16
-1997-01-27,17.12,17.25,16.62,16.62,7646800,4.16
-1997-01-24,17.25,17.25,16.87,16.87,6726800,4.22
-1997-01-23,17.25,17.37,17.12,17.25,6175200,4.31
-1997-01-22,17.37,17.50,17.00,17.19,7356800,4.30
-1997-01-21,17.00,17.25,16.87,17.25,10179200,4.31
-1997-01-20,16.87,17.12,16.75,16.94,10423600,4.24
-1997-01-17,16.75,17.12,16.62,16.75,11619200,4.19
-1997-01-16,17.12,17.12,16.62,16.75,23983600,4.19
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-1997-01-14,18.37,18.37,17.75,17.87,9143200,4.47
-1997-01-13,18.50,18.50,18.12,18.12,10942000,4.53
-1997-01-10,17.62,18.25,17.62,18.25,12651200,4.56
-1997-01-09,17.75,17.87,17.50,17.75,15970000,4.44
-1997-01-08,18.25,18.37,17.37,17.62,39296400,4.41
-1997-01-07,18.12,18.25,17.50,17.50,34896400,4.38
-1997-01-06,17.62,18.34,17.25,17.87,67246400,4.47
-1997-01-03,21.12,22.25,21.00,21.75,4295600,5.44
-1997-01-02,21.12,21.25,20.75,21.00,5128800,5.25
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-1996-12-30,23.12,23.25,21.75,21.75,9366800,5.44
-1996-12-27,22.87,23.75,22.87,23.12,4900000,5.78
-1996-12-26,23.25,23.25,22.87,23.00,3049200,5.75
-1996-12-24,23.25,23.37,22.87,23.12,2067600,5.78
-1996-12-23,24.00,24.25,23.25,23.25,11883600,5.81
-1996-12-20,22.50,23.62,21.37,23.50,19535600,5.88
-1996-12-19,23.00,23.25,22.25,22.25,4893600,5.56
-1996-12-18,22.75,23.12,22.62,23.12,7326400,5.78
-1996-12-17,22.37,22.50,22.25,22.50,5625200,5.62
-1996-12-16,23.50,23.50,22.50,22.62,5335600,5.66
-1996-12-13,23.75,23.87,23.25,23.25,3194400,5.81
-1996-12-12,24.12,24.25,23.87,23.87,3122400,5.97
-1996-12-11,23.75,24.25,23.75,24.00,5853600,6.00
-1996-12-10,24.87,25.00,24.25,24.50,6593600,6.12
-1996-12-09,25.25,25.37,24.81,25.00,5680800,6.25
-1996-12-06,24.37,25.37,24.00,25.12,8210800,6.28
-1996-12-05,25.00,25.25,25.00,25.00,5096800,6.25
-1996-12-04,25.12,25.37,24.87,25.00,6823600,6.25
-1996-12-03,25.25,25.50,25.00,25.12,9840800,6.28
-1996-12-02,24.12,25.12,23.87,25.12,6254400,6.28
-1996-11-29,24.50,24.62,24.00,24.12,1527600,6.03
-1996-11-27,24.12,24.62,24.12,24.50,3191200,6.12
-1996-11-26,24.87,25.00,24.00,24.25,4054800,6.06
-1996-11-25,25.37,25.50,25.00,25.00,2830800,6.25
-1996-11-22,24.50,25.25,24.50,25.25,3732400,6.31
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-1996-10-25,24.87,25.00,24.50,24.50,2775600,6.12
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-1996-10-11,24.37,24.62,24.00,24.25,4327600,6.06
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-1996-10-08,23.50,24.25,23.25,23.25,6802000,5.81
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-1996-10-04,22.87,23.12,22.12,22.81,4770000,5.70
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-1996-10-02,23.62,24.62,23.12,23.62,9890000,5.91
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-1996-09-25,22.50,22.62,22.00,22.37,3902400,5.59
-1996-09-24,22.37,22.87,22.37,22.50,5143600,5.62
-1996-09-23,22.87,22.87,22.37,22.37,1653600,5.59
-1996-09-20,23.37,23.50,22.75,22.87,5330800,5.72
-1996-09-19,23.62,23.62,23.37,23.37,4282000,5.84
-1996-09-18,23.00,24.12,22.87,23.50,12631200,5.88
-1996-09-17,22.87,23.12,22.50,23.00,7487600,5.75
-1996-09-16,21.50,23.00,21.37,22.37,8747600,5.59
-1996-09-13,20.37,21.25,20.37,21.00,5967600,5.25
-1996-09-12,21.00,21.12,20.25,20.37,9340000,5.09
-1996-09-11,21.50,21.75,21.00,21.12,5266800,5.28
-1996-09-10,22.12,22.12,21.50,21.50,5562000,5.38
-1996-09-09,22.62,22.75,21.87,22.00,5302400,5.50
-1996-09-06,23.12,23.25,22.62,23.00,8602000,5.75
-1996-09-05,23.50,23.75,22.87,22.87,9999200,5.72
-1996-09-04,23.87,24.62,23.87,24.12,3636400,6.03
-1996-09-03,24.12,24.37,23.87,24.12,2461200,6.03
-1996-08-30,24.75,24.75,24.25,24.25,3784800,6.06
-1996-08-29,24.87,24.87,24.37,24.50,3829200,6.12
-1996-08-28,24.87,25.00,24.50,24.87,5844400,6.22
-1996-08-27,24.12,25.00,24.00,24.86,10339200,6.22
-1996-08-26,23.87,24.12,23.50,24.12,3204400,6.03
-1996-08-23,23.00,24.00,23.00,23.87,7281200,5.97
-1996-08-22,23.00,23.25,22.87,23.25,3138000,5.81
-1996-08-21,23.50,23.62,22.87,23.00,4052400,5.75
-1996-08-20,23.87,23.87,23.37,23.50,7564400,5.88
-1996-08-19,22.37,23.62,22.37,23.62,8084400,5.91
-1996-08-16,22.62,22.62,22.12,22.50,5075600,5.62
-1996-08-15,22.62,22.75,22.25,22.25,3845600,5.56
-1996-08-14,22.62,23.00,22.62,22.75,2570000,5.69
-1996-08-13,22.87,23.12,22.37,22.50,3706400,5.62
-1996-08-12,23.37,23.62,22.37,23.00,5408000,5.75
-1996-08-09,22.25,23.37,22.12,23.12,8243600,5.78
-1996-08-08,22.37,22.37,21.87,22.12,3640000,5.53
-1996-08-07,21.75,22.62,21.62,22.37,8892400,5.59
-1996-08-06,21.00,21.50,20.75,21.50,3354800,5.38
-1996-08-05,21.62,21.87,20.87,21.00,3612000,5.25
-1996-08-02,21.62,22.00,21.25,21.62,4574800,5.41
-1996-08-01,22.00,22.00,21.12,21.25,3942400,5.31
-1996-07-31,21.25,22.00,21.25,22.00,3332400,5.50
-1996-07-30,22.62,22.75,21.25,21.37,6766800,5.34
-1996-07-29,22.00,22.50,21.75,22.25,7005600,5.56
-1996-07-26,21.50,22.00,21.12,22.00,4426800,5.50
-1996-07-25,21.12,21.37,20.75,21.00,4090800,5.25
-1996-07-24,20.00,21.00,19.87,20.81,9448800,5.20
-1996-07-23,20.50,20.62,20.25,20.50,4651200,5.12
-1996-07-22,20.87,20.87,20.00,20.25,5456400,5.06
-1996-07-19,20.87,21.00,20.75,20.75,9510000,5.19
-1996-07-18,21.50,21.75,20.36,20.87,32058800,5.22
-1996-07-17,17.37,17.50,16.62,16.87,8355600,4.22
-1996-07-16,17.37,17.37,16.00,16.87,10334400,4.22
-1996-07-15,18.12,18.12,17.12,17.19,4779200,4.30
-1996-07-12,18.37,18.37,17.25,18.06,9610800,4.51
-1996-07-11,18.75,18.87,17.37,17.87,10420000,4.47
-1996-07-10,19.12,19.50,18.75,18.75,6055200,4.69
-1996-07-09,19.50,19.62,19.00,19.00,6723600,4.75
-1996-07-08,19.62,19.87,19.00,19.12,6762000,4.78
-1996-07-05,19.37,19.75,19.25,19.50,3808800,4.88
-1996-07-03,20.37,20.37,19.37,19.37,10323200,4.84
-1996-07-02,21.37,21.50,21.00,21.00,3189200,5.25
-1996-07-01,21.12,21.50,21.00,21.50,4732400,5.38
-1996-06-28,20.87,21.00,20.62,21.00,4138000,5.25
-1996-06-27,20.00,21.00,19.75,20.62,8202400,5.16
-1996-06-26,20.62,20.75,19.62,19.87,14440800,4.97
-1996-06-25,22.12,22.25,20.37,20.62,8831200,5.16
-1996-06-24,22.62,22.62,22.12,22.25,4398000,5.56
-1996-06-21,22.87,22.87,22.37,22.62,5792000,5.66
-1996-06-20,23.37,23.37,22.50,22.75,5260800,5.69
-1996-06-19,23.12,23.37,22.62,23.12,4803600,5.78
-1996-06-18,23.62,23.75,22.62,22.75,7979200,5.69
-1996-06-17,24.12,24.12,23.62,23.62,4052000,5.91
-1996-06-14,24.75,24.75,23.87,23.94,5186800,5.99
-1996-06-13,24.37,24.92,24.00,24.62,6856800,6.16
-1996-06-12,24.50,24.50,24.00,24.25,5440000,6.06
-1996-06-11,24.25,24.25,24.00,24.00,5481200,6.00
-1996-06-10,24.37,24.50,24.00,24.12,3820800,6.03
-1996-06-07,24.00,24.37,23.50,24.37,9565200,6.09
-1996-06-06,25.00,25.25,24.12,24.25,12938800,6.06
-1996-06-05,25.37,25.50,24.25,25.12,18228000,6.28
-1996-06-04,24.00,24.37,23.87,24.19,27235600,6.05
-1996-06-03,25.87,26.00,24.75,24.75,4481200,6.19
-1996-05-31,25.62,26.62,25.50,26.12,5813600,6.53
-1996-05-30,24.87,25.75,24.75,25.50,3703600,6.38
-1996-05-29,26.25,26.25,24.75,24.87,7840000,6.22
-1996-05-28,26.75,27.25,26.37,26.37,3658800,6.59
-1996-05-24,26.25,26.87,26.12,26.75,4046800,6.69
-1996-05-23,26.12,26.62,25.75,26.25,4447600,6.56
-1996-05-22,27.37,27.37,25.75,26.06,7215600,6.51
-1996-05-21,28.00,28.12,27.12,27.12,4088000,6.78
-1996-05-20,27.87,28.12,27.62,27.94,3028800,6.99
-1996-05-17,28.37,28.37,27.50,27.62,4405600,6.91
-1996-05-16,28.25,28.62,27.87,28.37,4648800,7.09
-1996-05-15,27.87,28.87,27.75,28.50,10442400,7.12
-1996-05-14,27.75,28.00,27.50,27.50,7068000,6.88
-1996-05-13,27.12,27.62,26.62,27.06,6701200,6.76
-1996-05-10,26.25,27.37,26.00,27.25,3966400,6.81
-1996-05-09,26.37,26.50,25.75,26.12,3515600,6.53
-1996-05-08,27.25,27.25,25.62,26.75,6688800,6.69
-1996-05-07,26.37,27.37,26.25,26.87,12641200,6.72
-1996-05-06,24.87,25.87,24.75,25.62,10349200,6.41
-1996-05-03,24.12,24.12,23.50,23.87,3892400,5.97
-1996-05-02,24.50,24.50,23.50,23.75,6728000,5.94
-1996-05-01,24.37,24.75,24.12,24.37,4039200,6.09
-1996-04-30,24.87,24.87,24.12,24.37,4881200,6.09
-1996-04-29,25.00,25.00,24.50,24.75,4324800,6.19
-1996-04-26,25.00,25.12,24.62,24.75,6759200,6.19
-1996-04-25,24.37,24.87,24.12,24.87,6245200,6.22
-1996-04-24,24.62,24.75,24.19,24.25,4596800,6.06
-1996-04-23,25.12,25.25,24.62,24.75,6086400,6.19
-1996-04-22,25.25,25.50,24.87,25.12,3973200,6.28
-1996-04-19,24.62,25.12,24.62,25.06,3655600,6.26
-1996-04-18,25.37,25.39,24.25,24.75,7780800,6.19
-1996-04-17,25.87,26.00,25.12,25.25,3056400,6.31
-1996-04-16,25.87,26.00,25.62,25.87,3634400,6.47
-1996-04-15,25.50,25.75,25.00,25.75,5515600,6.44
-1996-04-12,25.87,25.87,25.37,25.50,2924400,6.38
-1996-04-11,26.12,26.25,25.50,25.75,3526400,6.44
-1996-04-10,26.12,26.50,25.87,26.00,6242400,6.50
-1996-04-09,24.87,26.50,24.37,26.00,8415600,6.50
-1996-04-08,23.87,24.50,23.75,24.37,6046400,6.09
-1996-04-04,24.62,24.62,24.00,24.12,3092000,6.03
-1996-04-03,25.12,25.12,24.33,24.56,2591200,6.14
-1996-04-02,25.62,25.62,24.87,25.00,3635600,6.25
-1996-04-01,25.12,25.87,24.52,25.50,5680000,6.38
-1996-03-29,24.25,24.75,23.75,24.56,5962400,6.14
-1996-03-28,24.75,25.62,24.12,24.19,10572000,6.05
-1996-03-27,23.25,25.25,23.00,25.25,15338800,6.31
-1996-03-26,24.00,24.50,23.62,23.87,5755600,5.97
-1996-03-25,25.50,25.75,24.00,24.00,5887600,6.00
-1996-03-22,25.25,25.37,24.87,25.37,3842400,6.34
-1996-03-21,25.50,25.50,25.00,25.12,3932400,6.28
-1996-03-20,25.75,25.75,25.12,25.25,4154800,6.31
-1996-03-19,26.37,26.50,25.62,25.75,4442400,6.44
-1996-03-18,25.94,26.12,25.75,26.12,3907600,6.53
-1996-03-15,26.00,26.00,25.50,25.87,3632400,6.47
-1996-03-14,25.87,25.87,25.50,25.62,3342400,6.41
-1996-03-13,25.87,26.12,25.62,25.75,3560000,6.44
-1996-03-12,26.00,26.37,25.62,25.81,3453200,6.45
-1996-03-11,26.25,26.37,25.75,25.87,4544800,6.47
-1996-03-08,25.75,26.25,25.00,26.00,5322400,6.50
-1996-03-07,26.25,26.37,25.37,25.81,9292400,6.45
-1996-03-06,26.75,26.87,26.12,26.19,3547600,6.55
-1996-03-05,26.50,26.75,26.25,26.62,4246800,6.66
-1996-03-04,27.25,27.37,26.25,26.25,6708800,6.56
-1996-03-01,27.62,27.62,26.62,26.87,8263200,6.72
-1996-02-29,27.50,27.75,27.25,27.50,4049200,6.88
-1996-02-28,28.87,28.87,27.62,27.75,6728800,6.94
-1996-02-27,29.87,29.87,28.50,28.62,5331200,7.16
-1996-02-26,30.00,30.12,29.50,29.50,4238000,7.38
-1996-02-23,29.87,30.25,29.62,29.87,6205200,7.47
-1996-02-22,30.00,30.12,29.62,29.87,6588000,7.47
-1996-02-21,29.37,29.75,29.12,29.62,7924400,7.41
-1996-02-20,28.00,29.50,28.00,29.00,13473200,7.25
-1996-02-16,28.12,28.37,27.50,27.50,5602400,6.88
-1996-02-15,27.62,28.12,27.37,28.00,4360000,7.00
-1996-02-14,28.25,28.25,27.44,27.62,5843600,6.91
-1996-02-13,28.00,28.87,27.87,28.12,8161200,7.03
-1996-02-12,28.12,28.50,28.00,28.37,6948800,7.09
-1996-02-09,27.87,28.50,27.62,27.75,7360800,6.94
-1996-02-08,27.50,28.12,27.50,27.87,9420800,6.97
-1996-02-07,29.75,29.75,27.75,28.25,12885200,7.06
-1996-02-06,29.25,30.00,29.25,29.62,8101200,7.41
-1996-02-05,29.69,29.75,29.00,29.25,11396400,7.31
-1996-02-02,28.87,29.62,28.75,29.25,19865600,7.31
-1996-02-01,27.50,28.37,27.50,28.37,11902400,7.09
-1996-01-31,27.75,28.00,27.37,27.62,11736800,6.91
-1996-01-30,27.00,28.12,26.86,27.31,22246800,6.83
-1996-01-29,29.00,29.75,28.75,29.12,11900000,7.28
-1996-01-26,30.37,31.25,28.62,30.62,26297600,7.66
-1996-01-25,31.75,32.00,30.12,30.25,15911200,7.56
-1996-01-24,32.13,32.25,31.75,32.25,23438800,8.06
-1996-01-23,33.75,34.00,31.00,31.62,35305200,7.91
-1996-01-22,29.75,31.00,29.25,30.50,17852400,7.62
-1996-01-19,31.00,31.75,29.37,29.87,29623600,7.47
-1996-01-18,32.88,33.38,30.37,31.94,24955200,7.99
-1996-01-17,34.38,34.38,33.75,34.00,8445200,8.50
-1996-01-16,34.38,34.75,33.63,34.56,12606400,8.64
-1996-01-15,33.75,34.50,33.38,34.13,12971200,8.53
-1996-01-12,34.75,34.75,33.25,33.88,14370000,8.47
-1996-01-11,32.63,35.00,32.38,35.00,27041200,8.75
-1996-01-10,32.50,34.75,32.25,34.25,13057600,8.56
-1996-01-09,34.63,34.63,32.75,32.75,8978800,8.19
-1996-01-08,34.50,35.50,34.00,34.63,4341200,8.66
-1996-01-05,31.62,34.25,31.37,34.25,15929200,8.56
-1996-01-04,32.38,32.38,31.37,31.56,10721200,7.89
-1996-01-03,32.00,32.88,31.87,32.13,15368800,8.03
-1996-01-02,32.25,32.25,31.75,32.13,4983200,8.03
-1995-12-29,32.00,32.38,31.62,31.87,10874400,7.97
-1995-12-28,32.13,32.75,31.87,32.00,8933200,8.00
-1995-12-27,32.13,33.38,31.87,32.38,9609200,8.10
-1995-12-26,32.50,32.50,31.75,32.06,4994800,8.02
-1995-12-22,32.63,32.88,32.13,32.25,8392400,8.06
-1995-12-21,32.75,32.75,31.62,32.50,11893200,8.12
-1995-12-20,33.50,33.63,32.50,32.63,13074400,8.16
-1995-12-19,32.75,33.25,32.25,32.75,15403600,8.19
-1995-12-18,35.13,35.25,31.87,32.25,23807600,8.06
-1995-12-15,35.50,36.63,34.38,35.25,25960000,8.81
-1995-12-14,38.88,39.38,38.00,38.25,11928000,9.56
-1995-12-13,38.25,39.00,36.75,38.38,24472400,9.60
-1995-12-12,38.63,38.63,38.00,38.00,6353200,9.50
-1995-12-11,39.50,39.63,38.38,38.63,4003200,9.66
-1995-12-08,38.75,39.38,37.88,39.38,5053200,9.85
-1995-12-07,38.75,38.75,37.88,38.56,5084800,9.64
-1995-12-06,39.75,39.88,38.38,38.75,7195200,9.69
-1995-12-05,38.50,39.88,38.25,39.50,13000000,9.88
-1995-12-04,40.13,40.13,39.00,39.50,17171200,9.88
-1995-12-01,38.00,38.25,37.13,37.63,7300800,9.41
-1995-11-30,38.88,39.00,38.00,38.13,6247600,9.53
-1995-11-29,40.13,40.13,39.00,39.25,3782000,9.81
-1995-11-28,39.38,40.13,39.25,40.00,6305200,10.00
-1995-11-27,40.63,40.63,39.38,39.38,4148800,9.85
-1995-11-24,38.88,40.38,38.75,40.19,3930800,10.05
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-1994-11-29,38.00,38.50,37.75,38.25,5163200,9.45
-1994-11-28,37.63,38.25,37.31,37.81,4971200,9.35
-1994-11-25,36.88,37.75,36.75,37.75,3012400,9.33
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-1991-07-15,46.75,46.75,45.50,45.50,4932400,10.81
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-1991-02-05,55.25,58.00,54.75,57.75,12740000,13.66
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-1991-01-28,53.25,55.25,53.25,54.50,9771200,12.89
-1991-01-25,52.00,53.63,52.00,53.50,8012000,12.65
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-1991-01-21,49.75,51.50,49.75,50.75,11595200,12.00
-1991-01-18,48.75,50.75,48.50,50.25,33691200,11.88
-1991-01-17,52.50,52.75,49.00,51.25,21137600,12.12
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-1991-01-14,46.00,46.75,46.00,46.25,7535600,10.94
-1991-01-11,47.00,47.25,46.00,47.00,11003200,11.11
-1991-01-10,45.75,47.25,45.75,47.13,15562400,11.15
-1991-01-09,44.25,46.00,43.75,45.25,16692400,10.70
-1991-01-08,43.75,43.88,42.50,43.25,7816400,10.23
-1991-01-07,43.00,45.25,43.00,43.25,11111200,10.23
-1991-01-04,43.00,44.25,43.00,43.25,5062400,10.23
-1991-01-03,43.50,44.25,43.00,43.00,5365600,10.17
-1991-01-02,42.75,44.00,42.00,43.50,5543600,10.29
-1990-12-31,43.00,43.25,42.75,43.00,1593200,10.17
-1990-12-28,43.25,43.50,42.75,43.00,2285200,10.17
-1990-12-27,43.25,44.00,43.25,43.50,3492000,10.29
-1990-12-26,44.00,44.25,43.00,43.75,3682000,10.35
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-1990-12-20,41.25,44.50,41.25,44.00,14326400,10.40
-1990-12-19,42.50,42.50,41.13,41.88,5036800,9.90
-1990-12-18,41.00,42.50,40.75,42.25,7899200,9.99
-1990-12-17,39.00,40.50,39.00,40.13,4683600,9.49
-1990-12-14,40.25,40.50,39.50,39.88,3126400,9.43
-1990-12-13,39.50,41.00,39.50,40.75,5752000,9.64
-1990-12-12,39.75,40.00,39.00,39.63,8664400,9.37
-1990-12-11,41.25,41.50,40.00,40.00,12438000,9.46
-1990-12-10,42.25,42.50,41.50,41.75,8966400,9.87
-1990-12-07,41.00,42.75,41.00,42.50,11781200,10.05
-1990-12-06,41.25,41.75,40.50,41.25,19013600,9.75
-1990-12-05,38.50,40.25,37.88,40.13,7822000,9.49
-1990-12-04,37.50,38.75,37.50,38.50,5453200,9.10
-1990-12-03,37.25,38.25,37.00,38.13,5922400,9.02
-1990-11-30,36.25,37.25,36.25,36.75,4350800,8.69
-1990-11-29,37.00,37.00,36.25,36.75,4528000,8.69
-1990-11-28,37.75,38.50,36.75,36.75,6250800,8.69
-1990-11-27,37.00,38.25,36.75,37.50,5899200,8.87
-1990-11-26,36.00,37.00,36.00,36.75,2925600,8.69
-1990-11-23,36.25,37.00,36.00,36.38,1911200,8.60
-1990-11-21,35.25,36.25,34.75,36.13,4400800,8.54
-1990-11-20,36.50,36.75,35.25,35.50,5490800,8.39
-1990-11-19,35.50,36.38,35.25,36.38,8017600,8.60
-1990-11-16,35.75,36.00,34.75,35.13,6545200,8.31
-1990-11-15,36.75,37.00,35.50,36.00,5787600,8.48
-1990-11-14,35.75,37.25,35.75,37.00,6819200,8.72
-1990-11-13,36.25,36.50,35.75,36.00,5086400,8.48
-1990-11-12,35.50,36.75,35.25,36.25,5192000,8.54
-1990-11-09,35.00,35.75,34.50,35.50,7102000,8.37
-1990-11-08,33.00,35.00,33.00,34.50,7136400,8.13
-1990-11-07,33.50,33.75,32.63,33.25,7254400,7.84
-1990-11-06,33.50,34.50,33.25,33.50,6620800,7.90
-1990-11-05,32.25,33.50,32.00,33.25,6604400,7.84
-1990-11-02,30.50,32.38,30.50,31.75,5323200,7.48
-1990-11-01,30.50,31.00,29.75,30.50,3258800,7.19
-1990-10-31,30.50,31.87,30.25,30.75,5331200,7.25
-1990-10-30,29.75,30.75,28.87,30.37,3513600,7.16
-1990-10-29,30.25,30.50,29.75,29.87,4415600,7.04
-1990-10-26,29.75,31.25,29.75,30.00,4811200,7.07
-1990-10-25,30.25,31.25,29.62,30.00,5481200,7.07
-1990-10-24,30.75,31.00,30.00,30.50,5079200,7.19
-1990-10-23,31.00,31.50,30.25,31.00,5969200,7.31
-1990-10-22,31.50,31.50,30.50,31.12,9041200,7.33
-1990-10-19,31.25,31.75,30.25,31.37,33363200,7.39
-1990-10-18,26.50,28.75,26.50,28.50,11255600,6.72
-1990-10-17,25.25,26.50,25.00,26.50,11059200,6.25
-1990-10-16,27.50,27.50,24.25,25.00,10913200,5.89
-1990-10-15,28.50,28.75,26.62,27.75,7190000,6.54
-1990-10-12,28.25,28.50,27.00,28.25,8169200,6.66
-1990-10-11,26.75,27.87,25.50,27.75,7376800,6.54
-1990-10-10,27.25,28.00,26.00,26.50,5283600,6.25
-1990-10-09,28.50,29.00,27.75,28.00,4321200,6.60
-1990-10-08,28.75,29.25,28.25,29.12,2218800,6.86
-1990-10-05,27.00,28.75,27.00,28.00,3572000,6.60
-1990-10-04,26.75,28.00,26.25,28.00,7638800,6.60
-1990-10-03,29.75,29.75,26.75,27.00,9591200,6.36
-1990-10-02,31.00,32.00,29.50,29.62,9699200,6.98
-1990-10-01,29.50,31.00,29.25,30.50,5581200,7.19
-1990-09-28,28.50,29.00,27.25,29.00,6291200,6.83
-1990-09-27,30.00,30.50,28.00,28.25,5085600,6.66
-1990-09-26,30.00,30.50,29.75,29.75,3363200,7.01
-1990-09-25,30.50,30.75,29.25,30.00,5642000,7.07
-1990-09-24,31.50,31.50,29.75,30.25,4961200,7.13
-1990-09-21,32.00,32.50,31.00,31.50,5503600,7.42
-1990-09-20,32.25,32.25,31.25,31.62,3607600,7.45
-1990-09-19,33.25,33.75,32.00,32.50,6536800,7.66
-1990-09-18,33.75,33.75,33.00,33.38,4456400,7.87
-1990-09-17,34.00,35.25,33.50,33.75,2782000,7.95
-1990-09-14,33.50,34.25,33.25,34.00,4084400,8.01
-1990-09-13,34.50,34.75,33.00,33.75,3492400,7.95
-1990-09-12,34.50,34.50,33.50,34.00,3600800,8.01
-1990-09-11,36.00,36.13,33.75,34.00,6370800,8.01
-1990-09-10,37.00,37.00,35.75,35.75,2732400,8.43
-1990-09-07,35.50,36.75,35.13,36.38,2098800,8.57
-1990-09-06,35.50,36.00,35.25,35.75,3134800,8.43
-1990-09-05,37.25,37.25,35.75,36.00,2292000,8.48
-1990-09-04,36.50,37.50,36.50,37.00,2974800,8.72
-1990-08-31,36.00,37.25,36.00,37.00,3570000,8.72
-1990-08-30,37.25,37.50,36.00,36.25,4388800,8.54
-1990-08-29,38.00,38.13,36.75,37.25,5407600,8.78
-1990-08-28,37.50,38.38,37.25,38.13,2877600,8.99
-1990-08-27,36.75,38.00,36.25,37.75,4214800,8.90
-1990-08-24,35.25,36.00,34.75,35.50,2634400,8.37
-1990-08-23,34.25,35.00,33.50,34.50,5138800,8.13
-1990-08-22,37.00,37.00,34.88,35.13,4395600,8.28
-1990-08-21,35.75,36.75,35.25,36.25,5769200,8.54
-1990-08-20,36.50,37.50,36.25,36.75,2681200,8.66
-1990-08-17,38.50,38.50,35.75,36.50,8806400,8.58
-1990-08-16,39.00,39.63,38.50,38.50,4438800,9.05
-1990-08-15,40.00,40.25,39.25,39.25,3292000,9.22
-1990-08-14,40.00,40.00,39.25,39.75,3520800,9.34
-1990-08-13,38.00,40.00,37.88,39.88,5584400,9.37
-1990-08-10,38.75,39.25,38.25,38.75,3683600,9.11
-1990-08-09,40.25,40.50,39.25,39.50,3443600,9.28
-1990-08-08,39.50,40.75,39.50,40.13,3674400,9.43
-1990-08-07,40.25,40.63,38.75,39.50,7096400,9.28
-1990-08-06,39.00,40.50,38.50,39.50,6425600,9.28
-1990-08-03,43.50,43.75,39.75,41.25,9609200,9.69
-1990-08-02,41.25,43.75,41.25,43.50,7973600,10.22
-1990-08-01,42.00,42.75,41.50,42.38,3350800,9.96
-1990-07-31,42.50,42.75,41.50,42.00,3444800,9.87
-1990-07-30,40.75,42.50,40.75,42.38,3058800,9.96
-1990-07-27,41.25,41.75,40.50,41.38,2240000,9.72
-1990-07-26,42.25,42.50,41.00,41.38,2885600,9.72
-1990-07-25,42.00,43.25,41.75,42.25,3762400,9.93
-1990-07-24,42.00,42.25,41.00,42.13,6928800,9.90
-1990-07-23,41.00,41.75,40.00,41.50,9655200,9.75
-1990-07-20,42.00,42.50,40.75,41.00,6858000,9.63
-1990-07-19,40.75,42.50,40.00,41.75,20932400,9.81
-1990-07-18,44.50,45.00,43.00,44.63,10309200,10.49
-1990-07-17,45.75,46.00,44.00,44.25,4892000,10.40
-1990-07-16,46.75,47.13,45.25,45.63,6428000,10.72
-1990-07-13,47.50,47.75,46.75,46.75,8254400,10.99
-1990-07-12,46.75,47.50,46.50,47.38,6537600,11.13
-1990-07-11,46.75,47.00,45.75,47.00,8808800,11.04
-1990-07-10,47.00,47.50,46.75,47.00,12923600,11.04
-1990-07-09,45.00,47.00,44.75,46.63,11281200,10.96
-1990-07-06,43.50,45.00,43.25,44.75,7481200,10.52
-1990-07-05,43.75,44.25,43.25,43.50,3859200,10.22
-1990-07-03,43.88,44.50,43.75,44.00,3572400,10.34
-1990-07-02,44.50,44.50,43.75,44.00,4856400,10.34
-1990-06-29,43.00,44.88,42.75,44.75,11622000,10.52
-1990-06-28,42.75,43.25,41.75,43.00,8930000,10.10
-1990-06-27,40.75,42.00,40.25,41.50,3490800,9.75
-1990-06-26,41.75,42.00,40.38,40.63,4558800,9.55
-1990-06-25,41.50,41.75,40.25,41.25,4378000,9.69
-1990-06-22,42.00,42.63,41.25,41.50,10154400,9.75
-1990-06-21,40.00,42.00,40.00,41.88,7455600,9.84
-1990-06-20,39.88,40.25,39.75,40.00,5530000,9.40
-1990-06-19,39.00,39.75,38.38,39.63,5623600,9.31
-1990-06-18,39.25,39.50,39.00,39.25,3988800,9.22
-1990-06-15,39.75,40.00,39.13,39.50,5163600,9.28
-1990-06-14,40.00,40.25,39.25,39.75,5018000,9.34
-1990-06-13,40.38,40.75,39.75,39.75,4963600,9.34
-1990-06-12,39.13,40.50,38.75,40.50,5902000,9.52
-1990-06-11,37.75,39.00,37.75,39.00,5661200,9.16
-1990-06-08,38.50,38.50,37.50,38.25,11926800,8.99
-1990-06-07,39.50,39.75,38.50,39.00,6668800,9.16
-1990-06-06,39.00,39.50,38.75,39.50,7563600,9.28
-1990-06-05,41.00,41.00,39.00,39.50,10702000,9.28
-1990-06-04,40.75,41.00,39.75,40.75,6412400,9.58
-1990-06-01,41.38,42.00,40.75,40.75,5624400,9.58
-1990-05-31,41.50,41.50,41.00,41.25,3682400,9.69
-1990-05-30,41.63,41.75,41.25,41.38,9890000,9.72
-1990-05-29,40.00,41.25,39.25,41.00,8689200,9.63
-1990-05-25,39.50,40.75,39.00,40.00,11562400,9.40
-1990-05-24,42.25,42.25,41.50,42.00,5296400,9.87
-1990-05-23,41.25,42.50,41.25,42.00,7417600,9.87
-1990-05-22,40.13,41.50,40.00,41.38,10772000,9.72
-1990-05-21,39.50,40.00,38.75,39.50,9382400,9.28
-1990-05-18,41.25,41.50,39.50,39.75,9248000,9.31
-1990-05-17,41.75,42.25,41.00,41.50,5488000,9.72
-1990-05-16,41.75,41.75,41.00,41.63,3139200,9.76
-1990-05-15,41.38,42.00,41.00,41.75,5343600,9.78
-1990-05-14,42.75,42.75,41.25,41.75,8088000,9.78
-1990-05-11,41.38,42.75,40.75,42.63,7691200,9.99
-1990-05-10,41.75,41.75,40.50,41.38,6413600,9.70
-1990-05-09,41.63,42.00,41.25,41.88,3491200,9.81
-1990-05-08,41.00,42.00,41.00,41.75,4025600,9.78
-1990-05-07,39.75,41.75,39.75,41.50,4866400,9.72
-1990-05-04,40.00,40.75,39.25,40.00,6063200,9.37
-1990-05-03,39.75,40.25,39.75,40.00,5950800,9.37
-1990-05-02,39.75,40.00,39.25,39.75,4857600,9.31
-1990-05-01,39.75,40.00,39.38,39.63,5845200,9.29
-1990-04-30,39.25,39.75,39.00,39.38,4888800,9.23
-1990-04-27,39.00,39.50,38.75,39.13,4178800,9.17
-1990-04-26,39.00,39.50,38.13,38.88,5098000,9.11
-1990-04-25,38.75,39.00,38.25,38.75,4743200,9.08
-1990-04-24,40.00,40.50,38.50,38.75,10852000,9.08
-1990-04-23,40.25,40.50,39.50,39.75,4597600,9.31
-1990-04-20,40.88,41.50,39.75,40.25,11573600,9.43
-1990-04-19,41.75,43.13,40.00,40.25,17215600,9.43
-1990-04-18,43.25,43.75,42.50,43.25,6925200,10.13
-1990-04-17,43.25,43.50,42.75,43.25,4683600,10.13
-1990-04-16,43.50,44.25,43.25,43.75,8116400,10.25
-1990-04-12,43.00,44.00,42.50,43.25,7566800,10.13
-1990-04-11,41.50,43.00,41.50,42.50,7620000,9.96
-1990-04-10,41.25,42.00,41.00,41.25,4695600,9.67
-1990-04-09,39.75,41.50,39.50,41.13,3771200,9.64
-1990-04-06,40.25,41.25,39.75,39.88,4235600,9.35
-1990-04-05,41.00,41.25,40.00,40.25,3877600,9.43
-1990-04-04,41.50,42.00,40.75,41.25,5363200,9.67
-1990-04-03,40.50,41.75,40.50,41.75,5006400,9.78
-1990-04-02,40.00,40.63,39.50,40.25,5332000,9.43
-1990-03-30,40.00,41.00,40.00,40.25,7986400,9.43
-1990-03-29,41.00,41.50,40.75,41.13,3472000,9.64
-1990-03-28,42.00,42.13,41.00,41.25,3696800,9.67
-1990-03-27,42.00,42.25,41.25,42.00,3033600,9.84
-1990-03-26,42.50,43.38,42.00,42.25,4581200,9.90
-1990-03-23,41.25,43.00,41.00,42.25,8155200,9.90
-1990-03-22,41.75,42.25,40.75,40.75,8292400,9.55
-1990-03-21,41.25,42.25,41.25,41.63,5463200,9.76
-1990-03-20,42.25,43.00,40.75,41.38,13984400,9.70
-1990-03-19,40.50,42.50,40.00,42.38,15433200,9.93
-1990-03-16,40.00,40.75,39.13,40.25,23042400,9.43
-1990-03-15,36.50,38.00,36.50,36.75,4302000,8.61
-1990-03-14,36.75,37.25,36.50,37.00,3654800,8.67
-1990-03-13,36.50,37.25,36.25,36.88,5321200,8.64
-1990-03-12,37.25,37.50,36.25,36.63,5864400,8.58
-1990-03-09,36.75,37.50,36.25,36.88,8248800,8.64
-1990-03-08,35.75,37.00,35.00,36.75,8013600,8.61
-1990-03-07,35.00,36.00,35.00,35.38,7301200,8.29
-1990-03-06,35.00,35.25,34.50,35.25,5578800,8.26
-1990-03-05,33.50,34.75,33.50,34.50,6537600,8.08
-1990-03-02,33.50,34.75,33.25,33.75,3761200,7.91
-1990-03-01,33.50,34.75,33.25,34.25,7283200,8.03
-1990-02-28,33.50,34.00,33.25,34.00,3918800,7.97
-1990-02-27,34.00,34.25,33.50,33.50,2642000,7.85
-1990-02-26,33.00,34.25,33.00,34.00,2844800,7.97
-1990-02-23,32.75,33.50,32.75,33.25,5375600,7.79
-1990-02-22,34.00,34.50,33.00,33.00,6976800,7.73
-1990-02-21,32.75,34.25,32.50,34.00,6283600,7.97
-1990-02-20,33.50,33.75,33.00,33.50,4402400,7.85
-1990-02-16,34.25,34.50,33.75,33.75,4556400,7.91
-1990-02-15,33.75,34.25,33.50,34.25,3509200,8.00
-1990-02-14,34.50,34.75,33.75,34.25,3448000,8.00
-1990-02-13,34.00,35.00,33.75,34.50,3653600,8.06
-1990-02-12,34.25,34.50,33.75,34.00,2695600,7.94
-1990-02-09,33.50,34.50,33.25,34.25,6004400,8.00
-1990-02-08,33.25,33.50,32.25,33.00,6680000,7.71
-1990-02-07,33.00,34.00,32.50,33.25,11180800,7.77
-1990-02-06,34.75,35.00,34.00,34.75,2640000,8.12
-1990-02-05,34.25,35.25,34.00,35.00,3653200,8.18
-1990-02-02,33.25,34.75,33.25,34.25,4248800,8.00
-1990-02-01,34.50,34.63,33.50,33.63,4193200,7.86
-1990-01-31,34.50,34.75,33.00,34.00,5152400,7.94
-1990-01-30,33.25,34.50,33.00,34.00,4180800,7.94
-1990-01-29,33.00,33.50,32.13,33.25,4284800,7.77
-1990-01-26,34.00,34.00,32.25,32.75,6492000,7.65
-1990-01-25,34.25,34.75,34.00,34.13,3996800,7.97
-1990-01-24,32.50,34.25,32.25,34.00,6077600,7.94
-1990-01-23,33.75,34.25,33.00,33.75,5048800,7.88
-1990-01-22,34.00,34.50,33.25,33.25,5200800,7.77
-1990-01-19,33.75,34.50,33.50,34.25,9485600,8.00
-1990-01-18,33.00,33.50,32.25,32.38,9760800,7.56
-1990-01-17,34.75,34.75,33.00,33.25,7050000,7.77
-1990-01-16,33.50,35.00,32.75,34.88,7658000,8.15
-1990-01-15,34.50,35.75,34.25,34.25,5785600,8.00
-1990-01-12,34.25,34.75,33.75,34.50,6150000,8.06
-1990-01-11,36.25,36.25,34.50,34.50,7547600,8.06
-1990-01-10,37.63,37.63,35.75,36.00,7140000,8.41
-1990-01-09,38.00,38.00,37.00,37.63,3096800,8.79
-1990-01-08,37.50,38.00,37.00,38.00,3643200,8.88
-1990-01-05,37.75,38.25,37.00,37.75,4406400,8.82
-1990-01-04,38.25,38.75,37.25,37.63,7928800,8.79
-1990-01-03,38.00,38.00,37.50,37.50,7444400,8.76
-1990-01-02,35.25,37.50,35.00,37.25,6555600,8.70
-1989-12-29,34.75,35.75,34.38,35.25,5445200,8.23
-1989-12-28,35.00,35.25,34.25,34.63,5403200,8.09
-1989-12-27,35.50,35.75,35.00,35.13,9189200,8.21
-1989-12-26,36.75,36.75,35.25,35.50,4849200,8.29
-1989-12-22,36.25,37.25,36.00,36.50,6610800,8.53
-1989-12-21,35.75,36.25,35.50,36.25,10889200,8.47
-1989-12-20,35.75,36.25,35.25,35.75,6377600,8.35
-1989-12-19,34.50,35.50,34.50,35.00,8977600,8.18
-1989-12-18,33.75,35.00,33.75,34.75,10978000,8.12
-1989-12-15,34.75,35.00,32.50,33.75,18520800,7.88
-1989-12-14,35.75,36.13,34.50,34.88,10886400,8.15
-1989-12-13,36.00,36.50,35.50,36.00,13920000,8.41
-1989-12-12,39.25,39.50,35.00,36.00,36634400,8.41
-1989-12-11,41.00,41.50,38.38,39.25,23223200,9.17
-1989-12-08,42.50,43.00,41.25,41.75,9032400,9.75
-1989-12-07,42.25,43.25,42.00,42.75,6378800,9.99
-1989-12-06,45.00,45.25,41.00,42.75,11965600,9.99
-1989-12-05,45.25,45.75,44.50,45.00,4364800,10.51
-1989-12-04,43.75,45.50,43.75,45.25,3498000,10.57
-1989-12-01,44.50,45.00,43.63,44.00,5235200,10.28
-1989-11-30,43.75,44.50,43.50,44.25,2280800,10.34
-1989-11-29,43.50,44.25,42.50,44.00,5475200,10.28
-1989-11-28,43.75,44.25,42.75,44.13,4854400,10.31
-1989-11-27,44.75,45.25,43.75,44.00,3774800,10.28
-1989-11-24,44.75,45.00,44.75,44.75,1014400,10.45
-1989-11-22,45.50,45.75,44.50,44.75,3508000,10.45
-1989-11-21,45.25,46.50,45.25,45.25,5013600,10.57
-1989-11-20,45.00,45.50,44.50,45.25,3870800,10.57
-1989-11-17,44.50,45.25,44.50,44.75,3164400,10.45
-1989-11-16,44.50,44.75,43.75,44.75,3453600,10.43
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-1988-12-14,38.50,40.00,38.50,39.75,6916800,9.19
-1988-12-13,38.50,38.75,38.25,38.75,4386400,8.96
-1988-12-12,39.25,39.50,38.50,38.50,4215600,8.91
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-1988-12-06,39.25,39.75,39.00,39.50,3763200,9.14
-1988-12-05,39.50,40.00,38.75,39.50,5534400,9.14
-1988-12-02,38.25,39.88,38.00,39.25,11940000,9.08
-1988-12-01,37.75,39.00,37.50,38.75,7586800,8.96
-1988-11-30,36.75,38.00,36.75,37.63,6013600,8.70
-1988-11-29,36.50,36.75,36.00,36.75,3326400,8.50
-1988-11-28,36.50,36.75,36.00,36.50,4986800,8.44
-1988-11-25,36.25,36.75,36.00,36.50,1727600,8.44
-1988-11-23,35.75,37.00,35.50,36.88,6733200,8.53
-1988-11-22,36.50,36.88,36.00,36.13,5299200,8.36
-1988-11-21,37.50,37.75,36.25,36.63,7928000,8.47
-1988-11-18,38.50,38.50,38.00,38.00,2066400,8.77
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-1986-10-13,33.13,34.63,33.00,34.63,3582400,3.95
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-1986-09-18,34.25,34.50,33.75,34.00,3546400,3.88
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-1986-09-10,35.63,35.88,34.75,35.00,2737600,3.99
-1986-09-09,34.63,36.00,34.63,35.75,5398400,4.08
-1986-09-08,35.00,35.00,33.63,34.75,4522400,3.97
-1986-09-05,35.63,35.88,35.00,35.13,3561600,4.01
-1986-09-04,35.00,35.50,34.75,35.50,7133600,4.05
-1986-09-03,34.75,34.88,34.13,34.75,4216000,3.97
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-1986-08-29,37.63,38.00,36.88,37.00,4846400,4.22
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-1986-08-27,36.63,37.00,36.25,37.00,5280000,4.22
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-1986-08-22,35.88,36.63,35.88,36.25,4162400,4.14
-1986-08-21,36.13,36.38,35.75,35.75,6992800,4.08
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-1986-08-19,35.13,35.50,34.63,35.38,4944000,4.04
-1986-08-18,35.75,35.88,35.00,35.38,5297600,4.04
-1986-08-15,36.13,36.50,35.63,35.75,4910400,4.08
-1986-08-14,36.00,37.00,36.00,36.00,8240000,4.11
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-1986-08-12,33.38,34.38,33.38,34.25,8720000,3.91
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-1986-08-05,31.62,32.38,31.50,32.13,4238400,3.67
-1986-08-04,31.37,31.50,30.62,31.50,4653600,3.59
-1986-08-01,31.12,31.75,31.12,31.37,5360000,3.58
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-1986-07-30,31.25,31.50,30.00,30.50,9120000,3.48
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-1986-07-16,35.50,35.63,32.75,33.50,19280000,3.82
-1986-07-15,35.00,35.00,34.25,34.88,10640000,3.98
-1986-07-14,37.13,37.38,36.25,36.25,8480000,4.14
-1986-07-11,35.38,37.75,35.25,37.13,8000000,4.24
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-1986-07-08,35.25,35.25,34.13,34.25,9782400,3.91
-1986-07-07,37.63,37.75,35.38,35.63,6501600,4.07
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-1986-07-01,35.88,36.13,34.75,35.38,3140000,4.04
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-1986-06-26,35.88,36.38,35.50,36.25,4184800,4.14
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-1986-06-20,35.00,36.13,35.00,36.00,5761600,4.11
-1986-06-19,34.25,35.75,33.88,35.00,12347200,3.99
-1986-06-18,34.25,34.75,32.50,34.25,15381600,3.91
-1986-06-17,35.88,36.00,34.00,34.25,7936000,3.91
-1986-06-16,36.38,36.88,35.63,35.88,6222400,4.09
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-1986-06-11,36.00,36.25,35.50,36.13,6692800,4.12
-1986-06-10,36.00,36.00,35.13,36.00,8827200,4.11
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-1986-04-21,29.87,30.75,29.87,30.37,9775200,3.47
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-1986-04-14,27.00,27.25,26.75,26.87,3076000,3.07
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-1986-01-28,22.12,22.37,22.00,22.25,7949600,2.54
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-1986-01-23,23.37,23.50,22.75,23.00,5624000,2.62
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-1986-01-21,23.87,24.12,23.75,24.00,5464800,2.74
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-1986-01-16,23.87,24.75,23.87,24.50,19132800,2.80
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-1986-01-14,23.00,23.75,22.50,23.25,9772800,2.65
-1986-01-13,22.75,23.12,22.50,23.00,7701600,2.62
-1986-01-10,22.62,23.12,22.62,22.75,5491200,2.60
-1986-01-09,22.87,23.00,21.87,22.62,16002400,2.58
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-1986-01-07,22.25,23.00,22.12,23.00,16807200,2.62
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-1986-01-02,22.00,22.25,21.75,22.25,4212800,2.54
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-1985-12-30,22.37,22.62,22.12,22.25,3848800,2.54
-1985-12-27,21.75,22.62,21.75,22.37,4427200,2.55
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-1985-12-24,21.87,22.00,21.62,21.75,2344800,2.48
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-1985-12-19,22.25,22.75,22.12,22.50,9673600,2.57
-1985-12-18,21.37,22.87,21.37,22.25,20033600,2.54
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-1985-12-10,19.37,19.62,19.25,19.50,7206400,2.23
-1985-12-09,19.75,20.00,19.25,19.37,5015200,2.21
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-1985-12-04,20.12,20.62,20.12,20.50,5928800,2.34
-1985-12-03,20.25,20.37,20.00,20.12,5548800,2.30
-1985-12-02,20.12,20.25,20.00,20.25,3611200,2.31
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-1985-11-27,19.37,20.12,19.25,20.00,6873600,2.28
-1985-11-26,19.12,19.50,19.00,19.37,5892800,2.21
-1985-11-25,19.00,19.25,19.00,19.12,3488800,2.18
-1985-11-22,19.00,19.25,18.87,19.00,4620000,2.17
-1985-11-21,19.00,19.25,19.00,19.00,3720000,2.17
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-1985-11-19,19.87,20.00,19.25,19.25,3373600,2.20
-1985-11-18,19.87,20.00,19.87,19.87,2342400,2.27
-1985-11-15,20.00,20.25,19.87,19.87,2932800,2.27
-1985-11-14,20.00,20.12,20.00,20.00,4995200,2.28
-1985-11-13,19.87,19.87,19.37,19.37,3642400,2.21
-1985-11-12,20.00,20.25,19.87,19.87,6224800,2.27
-1985-11-11,20.50,20.75,20.00,20.00,6421600,2.28
-1985-11-08,20.50,20.75,20.50,20.50,10517600,2.34
-1985-11-07,19.62,19.87,19.62,19.62,11352800,2.24
-1985-11-06,19.25,19.37,19.25,19.25,7181600,2.20
-1985-11-05,18.75,19.12,18.62,18.62,3841600,2.12
-1985-11-04,18.75,19.12,18.75,18.75,5584800,2.14
-1985-11-01,18.62,19.00,18.62,18.62,3320000,2.12
-1985-10-31,19.00,19.25,18.62,18.62,5548800,2.12
-1985-10-30,19.00,19.00,19.00,19.00,8098400,2.17
-1985-10-29,18.00,18.00,17.87,17.87,4693600,2.04
-1985-10-28,18.00,18.12,18.00,18.00,2148800,2.05
-1985-10-25,18.37,18.37,18.00,18.00,2271200,2.05
-1985-10-24,18.37,18.87,18.37,18.37,9768800,2.10
-1985-10-23,18.00,18.50,18.00,18.00,5309600,2.05
-1985-10-22,18.00,18.25,18.00,18.00,15186400,2.05
-1985-10-21,17.75,17.75,17.25,17.25,4248800,1.97
-1985-10-18,18.25,18.37,17.75,17.75,8268800,2.03
-1985-10-17,18.25,19.12,18.25,18.25,12455200,2.08
-1985-10-16,18.00,18.12,18.00,18.00,10336000,2.05
-1985-10-15,17.00,17.12,17.00,17.00,10504800,1.94
-1985-10-14,16.62,16.62,16.62,16.62,5555200,1.90
-1985-10-11,16.00,16.25,16.00,16.00,4261600,1.83
-1985-10-10,15.88,16.00,15.88,15.88,9386400,1.81
-1985-10-09,15.13,15.25,15.00,15.00,3001600,1.71
-1985-10-08,15.13,15.13,15.13,15.13,3144000,1.73
-1985-10-07,15.00,15.25,15.00,15.00,3284800,1.71
-1985-10-04,15.50,15.50,15.00,15.00,2484800,1.71
-1985-10-03,15.63,15.63,15.50,15.50,1784800,1.77
-1985-10-02,15.75,15.88,15.63,15.63,795200,1.78
-1985-10-01,15.75,15.88,15.75,15.75,3175200,1.80
-1985-09-30,15.88,16.00,15.75,15.75,1324800,1.80
-1985-09-27,15.88,16.00,15.88,15.88,250400,1.81
-1985-09-26,15.88,16.00,15.88,15.88,1949600,1.81
-1985-09-25,16.50,16.50,15.88,15.88,3761600,1.81
-1985-09-24,16.87,17.25,16.50,16.50,3161600,1.88
-1985-09-23,16.87,17.12,16.87,16.87,4277600,1.92
-1985-09-20,17.00,17.12,16.75,16.75,4846400,1.91
-1985-09-19,17.00,17.00,17.00,17.00,6662400,1.94
-1985-09-18,16.25,16.25,16.25,16.25,4316000,1.85
-1985-09-17,15.25,15.25,15.25,15.25,6564000,1.74
-1985-09-16,15.75,15.75,15.25,15.25,1344000,1.74
-1985-09-13,16.12,16.12,15.75,15.75,2541600,1.80
-1985-09-12,16.12,16.12,16.12,16.12,3998400,1.84
-1985-09-11,15.50,15.63,15.50,15.50,3150400,1.77
-1985-09-10,15.38,15.63,15.38,15.38,4364800,1.75
-1985-09-09,15.25,15.38,15.25,15.25,4728800,1.74
-1985-09-06,15.00,15.00,15.00,15.00,3333600,1.71
-1985-09-05,14.88,15.00,14.88,14.88,1201600,1.70
-1985-09-04,14.88,15.13,14.88,14.88,1708800,1.70
-1985-09-03,15.00,15.00,14.75,14.75,1369600,1.68
-1985-08-30,15.00,15.00,15.00,15.00,1537600,1.71
-1985-08-29,15.25,15.25,14.88,14.88,2006400,1.70
-1985-08-28,15.25,15.38,15.25,15.25,1475200,1.74
-1985-08-27,15.25,15.25,15.25,15.25,1540000,1.74
-1985-08-26,15.13,15.13,15.13,15.13,1315200,1.73
-1985-08-23,14.88,15.00,14.75,14.75,1601600,1.68
-1985-08-22,15.25,15.25,14.88,14.88,4406400,1.70
-1985-08-21,15.25,15.25,15.25,15.25,2767200,1.74
-1985-08-20,15.25,15.25,15.25,15.25,2431200,1.74
-1985-08-19,15.00,15.25,15.00,15.00,1726400,1.71
-1985-08-16,14.63,14.88,14.63,14.63,3008800,1.67
-1985-08-15,14.63,14.75,14.50,14.50,3800000,1.65
-1985-08-14,15.25,15.25,14.63,14.63,10372800,1.67
-1985-08-13,15.25,15.50,15.25,15.25,1555200,1.74
-1985-08-12,15.25,15.25,15.00,15.00,1988800,1.71
-1985-08-09,15.25,15.25,15.25,15.25,2186400,1.74
-1985-08-08,15.13,15.25,15.13,15.13,5321600,1.73
-1985-08-07,15.25,16.00,14.88,14.88,5452800,1.70
-1985-08-06,15.38,15.75,15.25,15.25,2260000,1.74
-1985-08-05,15.75,15.88,15.38,15.38,3307200,1.75
-1985-08-02,15.88,15.88,15.75,15.75,3501600,1.80
-1985-08-01,15.88,16.12,15.88,15.88,1842400,1.81
-1985-07-31,16.25,16.37,15.88,15.88,2917600,1.81
-1985-07-30,16.25,16.37,16.25,16.25,3237600,1.85
-1985-07-29,16.62,16.62,16.00,16.00,2808800,1.83
-1985-07-26,16.62,16.75,16.62,16.62,4673600,1.90
-1985-07-25,16.62,16.75,16.62,16.62,11282400,1.90
-1985-07-24,16.50,16.75,16.25,16.25,6040000,1.85
-1985-07-23,16.87,17.12,16.50,16.50,6038400,1.88
-1985-07-22,17.37,17.37,16.87,16.87,6906400,1.92
-1985-07-19,17.37,17.37,17.37,17.37,4117600,1.98
-1985-07-18,17.62,17.62,17.25,17.25,6437600,1.97
-1985-07-17,17.62,17.87,17.62,17.62,4255200,2.01
-1985-07-16,17.75,17.87,17.50,17.50,5120000,2.00
-1985-07-15,17.87,18.25,17.75,17.75,2804800,2.03
-1985-07-12,18.00,18.00,17.87,17.87,1680000,2.04
-1985-07-11,18.00,18.12,18.00,18.00,2361600,2.05
-1985-07-10,18.00,18.00,18.00,18.00,3802400,2.05
-1985-07-09,17.62,17.75,17.62,17.62,5284000,2.01
-1985-07-08,17.62,17.75,17.62,17.62,3301600,2.01
-1985-07-05,17.62,17.75,17.62,17.62,1321600,2.01
-1985-07-03,17.50,17.50,17.50,17.50,2472800,2.00
-1985-07-02,18.12,18.25,17.25,17.25,2807200,1.97
-1985-07-01,18.12,18.25,18.12,18.12,3702400,2.07
-1985-06-28,18.37,18.50,18.00,18.00,4875200,2.05
-1985-06-27,18.37,18.50,18.37,18.37,6915200,2.10
-1985-06-26,18.12,18.12,18.12,18.12,4722400,2.07
-1985-06-25,17.50,17.87,17.50,17.50,10506400,2.00
-1985-06-24,17.25,17.50,17.25,17.25,7387200,1.97
-1985-06-21,16.12,16.50,16.12,16.12,5941600,1.84
-1985-06-20,15.75,15.75,15.75,15.75,6822400,1.80
-1985-06-19,15.63,15.88,15.63,15.63,6177600,1.78
-1985-06-18,15.25,15.50,15.25,15.25,9489600,1.74
-1985-06-17,14.88,15.00,14.88,14.88,8464000,1.70
-1985-06-14,14.88,15.75,14.75,14.75,20226400,1.68
-1985-06-13,15.75,15.88,14.88,14.88,13573600,1.70
-1985-06-12,16.12,16.25,15.75,15.75,8888800,1.80
-1985-06-11,16.12,16.50,16.12,16.12,10751200,1.84
-1985-06-10,16.37,16.50,16.12,16.12,11296000,1.84
-1985-06-07,17.00,17.00,16.37,16.37,16980000,1.87
-1985-06-06,17.00,17.00,17.00,17.00,9688800,1.94
-1985-06-05,17.25,17.75,16.87,16.87,10267200,1.92
-1985-06-04,17.25,17.37,17.25,17.25,14373600,1.97
-1985-06-03,17.00,17.00,16.00,16.00,20578400,1.83
-1985-05-31,17.62,18.00,17.37,17.37,13235200,1.98
-1985-05-30,17.62,17.87,17.62,17.62,11273600,2.01
-1985-05-29,17.12,17.25,17.12,17.12,8808800,1.95
-1985-05-28,17.87,17.87,16.87,16.87,18253600,1.92
-1985-05-24,19.75,19.75,18.12,18.12,21060000,2.07
-1985-05-23,20.50,20.50,19.75,19.75,8576000,2.25
-1985-05-22,20.75,20.87,20.62,20.62,4342400,2.35
-1985-05-21,21.25,21.25,20.75,20.75,5452800,2.37
-1985-05-20,21.75,22.25,21.37,21.37,7044000,2.44
-1985-05-17,21.37,22.12,21.25,21.75,7592800,2.48
-1985-05-16,21.37,22.00,21.37,21.37,8275200,2.44
-1985-05-15,20.00,20.37,20.00,20.00,4668800,2.28
-1985-05-14,20.00,20.12,19.75,19.75,4364000,2.25
-1985-05-13,20.25,20.37,20.00,20.00,3157600,2.28
-1985-05-10,20.00,20.50,20.00,20.25,4893600,2.31
-1985-05-09,20.00,20.12,20.00,20.00,4571200,2.28
-1985-05-08,19.87,19.87,19.87,19.87,5177600,2.27
-1985-05-07,20.00,20.00,20.00,20.00,3844800,2.28
-1985-05-06,20.00,20.25,19.75,19.75,2007200,2.25
-1985-05-03,19.25,20.12,19.25,20.00,5673600,2.28
-1985-05-02,20.62,20.62,19.25,19.25,11787200,2.20
-1985-05-01,21.25,21.37,20.87,20.87,2075200,2.38
-1985-04-30,21.25,21.37,21.25,21.25,3396000,2.42
-1985-04-29,21.87,22.00,21.12,21.12,2256000,2.41
-1985-04-26,22.00,22.62,21.87,21.87,4295200,2.50
-1985-04-25,22.00,22.12,22.00,22.00,3135200,2.51
-1985-04-24,22.12,22.50,22.00,22.00,2830400,2.51
-1985-04-23,22.12,22.25,22.12,22.12,4261600,2.52
-1985-04-22,22.50,22.50,21.62,21.62,3700000,2.47
-1985-04-19,22.87,22.87,22.37,22.50,3468800,2.57
-1985-04-18,22.87,23.00,22.87,22.87,7246400,2.61
-1985-04-17,22.62,22.87,22.62,22.62,4402400,2.58
-1985-04-16,21.62,21.75,21.62,21.62,2424800,2.47
-1985-04-15,21.37,21.62,21.37,21.37,2168800,2.44
-1985-04-12,21.37,21.37,20.75,20.87,2607200,2.38
-1985-04-11,21.37,22.00,21.37,21.37,5260000,2.44
-1985-04-10,21.00,21.25,21.00,21.00,8117600,2.40
-1985-04-09,19.62,19.75,19.62,19.62,9461600,2.24
-1985-04-08,20.87,21.00,19.62,19.62,7129600,2.24
-1985-04-04,21.00,21.12,20.62,20.87,5792800,2.38
-1985-04-03,21.00,21.12,21.00,21.00,8681600,2.40
-1985-04-02,21.62,21.75,21.00,21.00,8146400,2.40
-1985-04-01,22.12,22.62,21.62,21.62,4115200,2.47
-1985-03-29,21.87,22.25,21.87,22.12,3155200,2.52
-1985-03-28,21.87,22.25,21.87,21.87,4667200,2.50
-1985-03-27,22.50,22.75,21.87,21.87,4008800,2.50
-1985-03-26,22.50,22.50,22.50,22.50,4346400,2.57
-1985-03-25,22.25,22.25,21.62,21.62,3931200,2.47
-1985-03-22,22.62,23.00,22.25,22.25,2910400,2.54
-1985-03-21,22.62,23.00,22.62,22.62,5826400,2.58
-1985-03-20,22.25,22.62,22.25,22.25,14498400,2.54
-1985-03-19,22.87,23.12,22.00,22.00,6147200,2.51
-1985-03-18,22.87,23.12,22.87,22.87,4487200,2.61
-1985-03-15,21.75,23.12,21.62,22.62,6524000,2.58
-1985-03-14,21.75,21.87,21.75,21.75,8667200,2.48
-1985-03-13,23.00,23.00,21.75,21.75,8973600,2.48
-1985-03-12,23.00,23.25,23.00,23.00,7880000,2.62
-1985-03-11,22.25,22.37,22.25,22.25,10244800,2.54
-1985-03-08,22.12,22.12,20.75,21.50,16931200,2.45
-1985-03-07,24.62,24.75,22.12,22.12,26244000,2.52
-1985-03-06,25.87,25.87,24.62,24.62,6933600,2.81
-1985-03-05,25.87,25.87,25.87,25.87,4687200,2.95
-1985-03-04,25.25,26.00,25.25,25.25,5484000,2.88
-1985-03-01,24.75,24.87,24.00,24.87,8857600,2.84
-1985-02-28,25.12,25.12,24.75,24.75,11415200,2.82
-1985-02-27,26.75,26.75,25.12,25.12,14421600,2.87
-1985-02-26,27.25,27.37,26.75,26.75,6764800,3.05
-1985-02-25,27.62,27.75,27.25,27.25,3564000,3.11
-1985-02-22,26.87,27.87,26.87,27.62,8096000,3.15
-1985-02-21,26.87,27.00,26.87,26.87,11035200,3.07
-1985-02-20,27.62,27.75,26.37,26.37,7864800,3.01
-1985-02-19,27.87,27.87,27.62,27.62,5391200,3.15
-1985-02-15,27.62,28.12,27.37,28.00,6224000,3.19
-1985-02-14,28.37,28.62,27.62,27.62,15268800,3.15
-1985-02-13,29.75,29.75,28.37,28.37,18835200,3.24
-1985-02-12,30.50,30.62,29.75,29.75,8095200,3.39
-1985-02-11,30.50,30.75,30.50,30.50,12431200,3.48
-1985-02-08,29.87,30.00,29.50,29.87,4757600,3.41
-1985-02-07,30.00,30.37,29.87,29.87,8793600,3.41
-1985-02-06,30.00,30.00,30.00,30.00,6980000,3.42
-1985-02-05,29.50,30.00,29.50,29.50,6824800,3.37
-1985-02-04,29.25,29.37,29.25,29.25,7801600,3.34
-1985-02-01,29.00,29.12,28.37,28.62,4941600,3.27
-1985-01-31,29.87,30.00,29.00,29.00,9880000,3.31
-1985-01-30,29.87,30.50,29.87,29.87,17624800,3.41
-1985-01-29,30.25,30.50,29.87,29.87,8029600,3.41
-1985-01-28,30.25,30.62,30.25,30.25,14721600,3.45
-1985-01-25,29.00,29.62,28.37,29.62,11381600,3.38
-1985-01-24,29.62,29.62,29.00,29.00,14192800,3.31
-1985-01-23,30.12,30.25,29.62,29.62,15384000,3.38
-1985-01-22,30.12,30.25,30.12,30.12,15202400,3.44
-1985-01-21,29.25,29.50,29.25,29.25,11635200,3.34
-1985-01-18,28.12,29.25,28.00,28.62,12615200,3.27
-1985-01-17,30.25,30.75,28.12,28.12,19573600,3.21
-1985-01-16,30.25,30.75,30.25,30.25,6816000,3.45
-1985-01-15,30.62,31.12,30.00,30.00,9476000,3.42
-1985-01-14,30.62,30.87,30.62,30.62,9691200,3.49
-1985-01-11,30.00,30.25,29.50,29.75,7347200,3.39
-1985-01-10,30.00,30.12,30.00,30.00,9926400,3.42
-1985-01-09,28.75,29.12,28.75,28.75,5973600,3.28
-1985-01-08,28.25,28.50,28.00,28.00,5040000,3.19
-1985-01-07,28.37,28.50,28.25,28.25,6117600,3.22
-1985-01-04,28.37,28.50,28.00,28.37,4915200,3.24
-1985-01-03,28.37,29.12,28.37,28.37,5967200,3.24
-1985-01-02,29.12,29.12,27.87,27.87,6272800,3.18
-1984-12-31,29.12,29.25,29.12,29.12,7453600,3.32
-1984-12-28,27.75,28.87,27.62,28.75,5941600,3.28
-1984-12-27,27.75,27.87,27.75,27.75,3531200,3.17
-1984-12-26,27.62,27.87,27.62,27.62,2444000,3.15
-1984-12-24,27.50,27.62,27.50,27.50,2418400,3.14
-1984-12-21,27.37,27.50,26.75,27.00,4438400,3.08
-1984-12-20,27.50,28.00,27.37,27.37,5013600,3.12
-1984-12-19,28.62,28.75,27.50,27.50,11372800,3.14
-1984-12-18,28.62,28.75,28.62,28.62,12164800,3.27
-1984-12-17,27.00,27.25,27.00,27.00,4513600,3.08
-1984-12-14,25.75,26.62,25.75,26.37,3475200,3.01
-1984-12-13,25.75,26.25,25.75,25.75,2424800,2.94
-1984-12-12,26.37,26.37,25.50,25.50,3937600,2.91
-1984-12-11,26.75,27.12,26.37,26.37,4432800,3.01
-1984-12-10,27.25,27.25,26.75,26.75,4016000,3.05
-1984-12-07,27.37,28.37,27.12,27.25,17696000,3.11
-1984-12-06,27.37,27.50,27.37,27.37,11360000,3.12
-1984-12-05,26.12,26.12,26.12,26.12,9406400,2.98
-1984-12-04,24.87,25.37,24.87,24.87,4332800,2.84
-1984-12-03,24.75,24.87,24.37,24.37,3533600,2.78
-1984-11-30,25.37,25.62,24.62,24.75,3906400,2.82
-1984-11-29,25.87,25.87,25.37,25.37,6248800,2.89
-1984-11-28,25.87,26.50,25.87,25.87,14673600,2.95
-1984-11-27,24.62,24.87,24.62,24.62,4590400,2.81
-1984-11-26,24.00,24.00,24.00,24.00,3636000,2.74
-1984-11-23,23.37,24.12,23.37,23.75,4904800,2.71
-1984-11-21,23.12,23.25,23.12,23.12,6418400,2.64
-1984-11-20,22.62,22.75,22.62,22.62,9424800,2.58
-1984-11-19,23.25,23.37,21.87,21.87,8321600,2.50
-1984-11-16,23.75,24.12,23.12,23.25,5920000,2.65
-1984-11-15,23.75,24.00,23.75,23.75,3833600,2.71
-1984-11-14,23.75,24.00,23.75,23.75,3752800,2.71
-1984-11-13,24.12,24.62,23.50,23.50,4548800,2.68
-1984-11-12,24.12,24.25,24.12,24.12,4070400,2.75
-1984-11-09,24.75,24.87,23.00,23.25,10518400,2.65
-1984-11-08,25.75,25.75,24.75,24.75,3162400,2.82
-1984-11-07,26.25,26.37,25.75,25.75,8286400,2.94
-1984-11-06,26.25,26.37,26.25,26.25,8073600,3.00
-1984-11-05,24.87,25.37,24.75,24.75,3764800,2.82
-1984-11-02,25.00,25.12,24.75,24.87,1004800,2.84
-1984-11-01,25.00,25.25,25.00,25.00,1680000,2.85
-1984-10-31,25.00,25.25,24.87,24.87,2191200,2.84
-1984-10-30,25.00,25.25,25.00,25.00,2677600,2.85
-1984-10-29,24.75,24.87,24.75,24.75,1836000,2.82
-1984-10-26,25.25,25.25,24.50,24.62,4113600,2.81
-1984-10-25,26.25,26.25,25.25,25.25,5676000,2.88
-1984-10-24,26.25,26.50,26.25,26.25,5989600,3.00
-1984-10-23,26.00,26.25,26.00,26.00,6668800,2.97
-1984-10-22,25.62,26.00,25.37,25.37,4108800,2.89
-1984-10-19,25.62,27.37,25.50,25.62,11673600,2.92
-1984-10-18,25.62,25.75,25.62,25.62,8842400,2.92
-1984-10-17,24.87,25.00,24.87,24.87,5636000,2.84
-1984-10-16,24.00,24.12,23.87,23.87,4246400,2.72
-1984-10-15,24.00,24.25,24.00,24.00,8715200,2.74
-1984-10-12,23.75,23.87,22.50,22.75,9522400,2.60
-1984-10-11,23.87,24.50,23.75,23.75,6553600,2.71
-1984-10-10,24.62,24.62,23.87,23.87,13070400,2.72
-1984-10-09,24.87,25.00,24.62,24.62,4515200,2.81
-1984-10-08,24.87,25.00,24.87,24.87,1721600,2.84
-1984-10-05,25.37,25.37,24.75,24.87,3510400,2.84
-1984-10-04,25.37,25.62,25.37,25.37,4482400,2.89
-1984-10-03,25.12,25.50,25.12,25.12,4335200,2.87
-1984-10-02,24.75,25.62,24.75,24.75,4258400,2.82
-1984-10-01,25.00,25.00,24.50,24.50,3521600,2.80
-1984-09-28,25.75,25.75,24.62,25.12,8344800,2.87
-1984-09-27,25.75,25.87,25.75,25.75,3796000,2.94
-1984-09-26,26.12,27.25,25.75,25.75,3987200,2.94
-1984-09-25,26.50,26.50,26.12,26.12,5977600,2.98
-1984-09-24,26.87,27.00,26.62,26.62,2833600,3.04
-1984-09-21,27.12,27.87,26.50,26.87,3591200,3.07
-1984-09-20,27.12,27.37,27.12,27.12,2387200,3.09
-1984-09-19,27.62,27.87,27.00,27.00,3816000,3.08
-1984-09-18,28.62,28.87,27.62,27.62,3495200,3.15
-1984-09-17,28.62,29.00,28.62,28.62,6886400,3.27
-1984-09-14,27.62,28.50,27.62,27.87,8826400,3.18
-1984-09-13,27.50,27.62,27.50,27.50,7429600,3.14
-1984-09-12,26.87,27.00,26.12,26.12,4773600,2.98
-1984-09-11,26.62,27.37,26.62,26.87,5444000,3.07
-1984-09-10,26.50,26.62,25.87,26.37,2346400,3.01
-1984-09-07,26.50,26.87,26.25,26.50,2981600,3.02
diff --git a/lib/matplotlib/mpl-data/sample_data/aapl.npy.gz b/lib/matplotlib/mpl-data/sample_data/aapl.npy.gz
deleted file mode 100644
index 0a2803a6bcdb..000000000000
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diff --git a/lib/matplotlib/mpl-data/sample_data/ada.png b/lib/matplotlib/mpl-data/sample_data/ada.png
deleted file mode 100644
index ce826b026a61..000000000000
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diff --git a/lib/matplotlib/mpl-data/sample_data/ct.raw.gz b/lib/matplotlib/mpl-data/sample_data/ct.raw.gz
deleted file mode 100644
index c03530b13faa..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/ct.raw.gz and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/demodata.csv b/lib/matplotlib/mpl-data/sample_data/demodata.csv
deleted file mode 100644
index c167c4c73479..000000000000
--- a/lib/matplotlib/mpl-data/sample_data/demodata.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-clientid,date,weekdays,gains,prices,up
-0,2008-04-30,Wed,-0.52458192906686452,7791404.0091921333,False
-1,2008-05-01,Thu,0.076191536201738269,3167180.7366340165,True
-2,2008-05-02,Fri,-0.86850970062880861,9589766.9613829032,False
-3,2008-05-03,Sat,-0.42701083852713395,8949415.1867596991,False
-4,2008-05-04,Sun,0.2532553652693274,937163.44375252665,True
-5,2008-05-05,Mon,-0.68151636911081892,949579.88022264629,False
-6,2008-05-06,Tue,0.0071911579626532168,7268426.906552773,True
-7,2008-05-07,Wed,0.67449747200412147,7517014.782897247,True
-8,2008-05-08,Thu,-1.1841008656818983,1920959.5423492221,False
-9,2008-05-09,Fri,-1.5803692595811152,8456240.6198725495,False
diff --git a/lib/matplotlib/mpl-data/sample_data/goog.npy b/lib/matplotlib/mpl-data/sample_data/goog.npy
deleted file mode 100644
index fc0f5d7e977a..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/goog.npy and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/goog.npz b/lib/matplotlib/mpl-data/sample_data/goog.npz
new file mode 100644
index 000000000000..6cbfd68ba9af
Binary files /dev/null and b/lib/matplotlib/mpl-data/sample_data/goog.npz differ
diff --git a/lib/matplotlib/mpl-data/sample_data/grace_hopper.png b/lib/matplotlib/mpl-data/sample_data/grace_hopper.png
deleted file mode 100644
index 4a63320ab28d..000000000000
Binary files a/lib/matplotlib/mpl-data/sample_data/grace_hopper.png and /dev/null differ
diff --git a/lib/matplotlib/mpl-data/sample_data/lena.jpg b/lib/matplotlib/mpl-data/sample_data/lena.jpg
deleted file mode 100644
index dc0704495576..000000000000
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diff --git a/lib/matplotlib/mpl-data/sample_data/lena.png b/lib/matplotlib/mpl-data/sample_data/lena.png
deleted file mode 100644
index cf69eecba751..000000000000
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diff --git a/lib/matplotlib/mpl-data/sample_data/logo2.png b/lib/matplotlib/mpl-data/sample_data/logo2.png
index a1adda483eed..72843ab1febb 100644
Binary files a/lib/matplotlib/mpl-data/sample_data/logo2.png and b/lib/matplotlib/mpl-data/sample_data/logo2.png differ
diff --git a/lib/matplotlib/mpl-data/sample_data/necked_tensile_specimen.png b/lib/matplotlib/mpl-data/sample_data/necked_tensile_specimen.png
deleted file mode 100644
index 31a2250423ca..000000000000
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diff --git a/lib/matplotlib/mpl-data/sample_data/topobathy.npz b/lib/matplotlib/mpl-data/sample_data/topobathy.npz
new file mode 100644
index 000000000000..9f9b085fa29b
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diff --git a/lib/matplotlib/mpl-data/stylelib/Solarize_Light2.mplstyle b/lib/matplotlib/mpl-data/stylelib/Solarize_Light2.mplstyle
new file mode 100644
index 000000000000..418721314335
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/Solarize_Light2.mplstyle
@@ -0,0 +1,53 @@
+# Solarized color palette taken from https://ethanschoonover.com/solarized/
+# Inspired by, and copied from ggthemes https://github.com/jrnold/ggthemes
+
+#TODO:
+#    1. Padding to title from face
+#    2. Remove top & right ticks
+#    3. Give Title a Magenta Color(?)
+
+#base00     ='#657b83'
+#base01     ='#93a1a1'
+#base2      ='#eee8d5'
+#base3      ='#fdf6e3'
+#base01     ='#586e75'
+#Magenta    ='#d33682'
+#Blue       ='#268bd2'
+#cyan       ='#2aa198'
+#violet     ='#6c71c4'
+#green      ='#859900'
+#orange     ='#cb4b16'
+
+figure.facecolor    : FDF6E3
+
+patch.antialiased   : True
+
+lines.linewidth     : 2.0
+lines.solid_capstyle: butt
+
+axes.titlesize      : 16
+axes.labelsize      : 12
+axes.labelcolor     : 657b83
+axes.facecolor      : eee8d5
+axes.edgecolor      : eee8d5
+axes.axisbelow      : True
+axes.prop_cycle    : cycler('color', ['268BD2', '2AA198', '859900', 'B58900', 'CB4B16', 'DC322F', 'D33682', '6C71C4'])
+# Blue
+# Cyan
+# Green
+# Yellow
+# Orange
+# Red
+# Magenta
+# Violet
+axes.grid           : True
+grid.color          : fdf6e3    # grid color
+grid.linestyle      : -         # line
+grid.linewidth      : 1         # in points
+
+### TICKS
+xtick.color         : 657b83
+xtick.direction     : out
+
+ytick.color         : 657b83
+ytick.direction     : out
diff --git a/lib/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle b/lib/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle
new file mode 100644
index 000000000000..abd972925871
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle
@@ -0,0 +1,8 @@
+# This patch should go on top of the "classic" style and exists solely to avoid
+# changing baseline images.
+
+text.kerning_factor : 6
+
+ytick.alignment: center_baseline
+
+hatch.color: edge
diff --git a/lib/matplotlib/mpl-data/stylelib/_mpl-gallery-nogrid.mplstyle b/lib/matplotlib/mpl-data/stylelib/_mpl-gallery-nogrid.mplstyle
new file mode 100644
index 000000000000..911658fe8833
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/_mpl-gallery-nogrid.mplstyle
@@ -0,0 +1,19 @@
+# This style is used for the plot_types gallery. It is considered private.
+
+axes.grid: False
+axes.axisbelow: True
+
+figure.figsize: 2, 2
+# make it so the axes labels don't show up.  Obviously 
+# not good style for any quantitative analysis:
+figure.subplot.left: 0.01
+figure.subplot.right: 0.99
+figure.subplot.bottom: 0.01
+figure.subplot.top: 0.99
+
+xtick.major.size: 0.0
+ytick.major.size: 0.0
+
+# colors:
+image.cmap    : Blues
+axes.prop_cycle: cycler('color', ['1f77b4', '82bbdb', 'ccdff1'])
diff --git a/lib/matplotlib/mpl-data/stylelib/_mpl-gallery.mplstyle b/lib/matplotlib/mpl-data/stylelib/_mpl-gallery.mplstyle
new file mode 100644
index 000000000000..75c95bf16a1f
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/_mpl-gallery.mplstyle
@@ -0,0 +1,19 @@
+# This style is used for the plot_types gallery. It is considered part of the private API.
+
+axes.grid: True
+axes.axisbelow: True
+
+figure.figsize: 2, 2
+# make it so the axes labels don't show up.  Obviously 
+# not good style for any quantitative analysis:
+figure.subplot.left: 0.01
+figure.subplot.right: 0.99
+figure.subplot.bottom: 0.01
+figure.subplot.top: 0.99
+
+xtick.major.size: 0.0
+ytick.major.size: 0.0
+
+# colors:
+image.cmap    : Blues
+axes.prop_cycle: cycler('color', ['1f77b4', '58a1cf', 'abd0e6'])
diff --git a/lib/matplotlib/mpl-data/stylelib/bmh.mplstyle b/lib/matplotlib/mpl-data/stylelib/bmh.mplstyle
index 721511297559..1b449cc09fbf 100644
--- a/lib/matplotlib/mpl-data/stylelib/bmh.mplstyle
+++ b/lib/matplotlib/mpl-data/stylelib/bmh.mplstyle
@@ -1,5 +1,5 @@
 #Author: Cameron Davidson-Pilon, original styles from Bayesian Methods for Hackers
-# https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ 
+# https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
 
 lines.linewidth : 2.0
 
@@ -17,6 +17,13 @@ axes.edgecolor: bcbcbc
 axes.grid : True
 axes.titlesize: x-large
 axes.labelsize: large
-axes.color_cycle: 348ABD, A60628, 7A68A6, 467821, D55E00, CC79A7, 56B4E9, 009E73, F0E442, 0072B2
+axes.prop_cycle: cycler('color', ['348ABD', 'A60628', '7A68A6', '467821', 'D55E00', 'CC79A7', '56B4E9', '009E73', 'F0E442', '0072B2'])
 
-legend.fancybox: True
\ No newline at end of file
+grid.color: b2b2b2
+grid.linestyle: --
+grid.linewidth: 0.5
+
+legend.fancybox: True
+
+xtick.direction: in
+ytick.direction: in
diff --git a/lib/matplotlib/mpl-data/stylelib/classic.mplstyle b/lib/matplotlib/mpl-data/stylelib/classic.mplstyle
new file mode 100644
index 000000000000..92624503f99e
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/classic.mplstyle
@@ -0,0 +1,494 @@
+### Classic matplotlib plotting style as of v1.5
+
+
+### LINES
+# See https://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more
+# information on line properties.
+lines.linewidth   : 1.0     # line width in points
+lines.linestyle   : -       # solid line
+lines.color       : b       # has no affect on plot(); see axes.prop_cycle
+lines.marker      : None    # the default marker
+lines.markerfacecolor  : auto    # the default markerfacecolor
+lines.markeredgecolor  : auto    # the default markeredgecolor
+lines.markeredgewidth  : 0.5     # the line width around the marker symbol
+lines.markersize  : 6            # markersize, in points
+lines.dash_joinstyle : round        # miter|round|bevel
+lines.dash_capstyle : butt          # butt|round|projecting
+lines.solid_joinstyle : round       # miter|round|bevel
+lines.solid_capstyle : projecting   # butt|round|projecting
+lines.antialiased : True         # render lines in antialiased (no jaggies)
+lines.dashed_pattern : 6, 6
+lines.dashdot_pattern : 3, 5, 1, 5
+lines.dotted_pattern : 1, 3
+lines.scale_dashes: False
+
+### Marker props
+markers.fillstyle: full
+
+### PATCHES
+# Patches are graphical objects that fill 2D space, like polygons or
+# circles.  See
+# https://matplotlib.org/api/artist_api.html#module-matplotlib.patches
+# information on patch properties
+patch.linewidth        : 1.0     # edge width in points
+patch.facecolor        : b
+patch.force_edgecolor  : True
+patch.edgecolor        : k
+patch.antialiased      : True    # render patches in antialiased (no jaggies)
+
+hatch.color            : k
+hatch.linewidth        : 1.0
+
+hist.bins              : 10
+
+### FONT
+#
+# font properties used by text.Text.  See
+# https://matplotlib.org/api/font_manager_api.html for more
+# information on font properties.  The 6 font properties used for font
+# matching are given below with their default values.
+#
+# The font.family property has five values: 'serif' (e.g., Times),
+# 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
+# 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier).  Each of
+# these font families has a default list of font names in decreasing
+# order of priority associated with them.  When text.usetex is False,
+# font.family may also be one or more concrete font names.
+#
+# The font.style property has three values: normal (or roman), italic
+# or oblique.  The oblique style will be used for italic, if it is not
+# present.
+#
+# The font.variant property has two values: normal or small-caps.  For
+# TrueType fonts, which are scalable fonts, small-caps is equivalent
+# to using a font size of 'smaller', or about 83% of the current font
+# size.
+#
+# The font.weight property has effectively 13 values: normal, bold,
+# bolder, lighter, 100, 200, 300, ..., 900.  Normal is the same as
+# 400, and bold is 700.  bolder and lighter are relative values with
+# respect to the current weight.
+#
+# The font.stretch property has 11 values: ultra-condensed,
+# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
+# expanded, extra-expanded, ultra-expanded, wider, and narrower.  This
+# property is not currently implemented.
+#
+# The font.size property is the default font size for text, given in pts.
+# 12pt is the standard value.
+#
+font.family         : sans-serif
+font.style          : normal
+font.variant        : normal
+font.weight         : normal
+font.stretch        : normal
+# note that font.size controls default text sizes.  To configure
+# special text sizes tick labels, axes, labels, title, etc, see the rc
+# settings for axes and ticks. Special text sizes can be defined
+# relative to font.size, using the following values: xx-small, x-small,
+# small, medium, large, x-large, xx-large, larger, or smaller
+font.size           : 12.0
+font.serif     : DejaVu Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
+font.sans-serif: DejaVu Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
+font.cursive   : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
+font.fantasy   : Comic Sans MS, Chicago, Charcoal, ImpactWestern, xkcd script, fantasy
+font.monospace : DejaVu Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
+
+### TEXT
+# text properties used by text.Text.  See
+# https://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
+# information on text properties
+
+text.color          : k
+
+### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
+text.usetex         : False  # use latex for all text handling. The following fonts
+                             # are supported through the usual rc parameter settings:
+                             # new century schoolbook, bookman, times, palatino,
+                             # zapf chancery, charter, serif, sans-serif, helvetica,
+                             # avant garde, courier, monospace, computer modern roman,
+                             # computer modern sans serif, computer modern typewriter
+                             # If another font is desired which can loaded using the
+                             # LaTeX \usepackage command, please inquire at the
+                             # matplotlib mailing list
+text.latex.preamble :  # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
+                       # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
+                       # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
+                       # text.latex.preamble is a single line of LaTeX code that
+                       # will be passed on to the LaTeX system. It may contain
+                       # any code that is valid for the LaTeX "preamble", i.e.
+                       # between the "\documentclass" and "\begin{document}"
+                       # statements.
+                       # Note that it has to be put on a single line, which may
+                       # become quite long.
+                       # The following packages are always loaded with usetex, so
+                       # beware of package collisions:
+                       #   color, fix-cm, geometry, graphicx, textcomp.
+                       # Adobe Postscript (PSSNFS) font packages may also be
+                       # loaded, depending on your font settings.
+
+text.hinting : auto   # May be one of the following:
+                      #   'none': Perform no hinting
+                      #   'auto': Use freetype's autohinter
+                      #   'native': Use the hinting information in the
+                      #             font file, if available, and if your
+                      #             freetype library supports it
+                      #   'either': Use the native hinting information,
+                      #             or the autohinter if none is available.
+                      # For backward compatibility, this value may also be
+                      # True === 'auto' or False === 'none'.
+text.hinting_factor : 8 # Specifies the amount of softness for hinting in the
+                        # horizontal direction.  A value of 1 will hint to full
+                        # pixels.  A value of 2 will hint to half pixels etc.
+
+text.antialiased : True # If True (default), the text will be antialiased.
+                        # This only affects the Agg backend.
+
+# The following settings allow you to select the fonts in math mode.
+# They map from a TeX font name to a fontconfig font pattern.
+# These settings are only used if mathtext.fontset is 'custom'.
+# Note that this "custom" mode is unsupported and may go away in the
+# future.
+mathtext.cal : cursive
+mathtext.rm  : serif
+mathtext.tt  : monospace
+mathtext.it  : serif:italic
+mathtext.bf  : serif:bold
+mathtext.sf  : sans\-serif
+mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
+                      # 'stixsans' or 'custom'
+mathtext.fallback: cm  # Select fallback font from ['cm' (Computer Modern), 'stix'
+                       # 'stixsans'] when a symbol cannot be found in one of the
+                       # custom math fonts. Select 'None' to not perform fallback
+                       # and replace the missing character by a dummy.
+
+mathtext.default : it # The default font to use for math.
+                      # Can be any of the LaTeX font names, including
+                      # the special name "regular" for the same font
+                      # used in regular text.
+
+### AXES
+# default face and edge color, default tick sizes,
+# default fontsizes for ticklabels, and so on.  See
+# https://matplotlib.org/api/axes_api.html#module-matplotlib.axes
+axes.facecolor      : w       # axes background color
+axes.edgecolor      : k       # axes edge color
+axes.linewidth      : 1.0     # edge linewidth
+axes.grid           : False   # display grid or not
+axes.grid.which     : major
+axes.grid.axis      : both
+axes.titlesize      : large   # fontsize of the axes title
+axes.titley         : 1.0     # at the top, no autopositioning.
+axes.titlepad       : 5.0     # pad between axes and title in points
+axes.titleweight    : normal  # font weight for axes title
+axes.labelsize      : medium  # fontsize of the x any y labels
+axes.labelpad       : 5.0     # space between label and axis
+axes.labelweight    : normal  # weight of the x and y labels
+axes.labelcolor     : k
+axes.axisbelow      : False   # whether axis gridlines and ticks are below
+                              # the axes elements (lines, text, etc)
+
+axes.formatter.limits : -7, 7 # use scientific notation if log10
+                              # of the axis range is smaller than the
+                              # first or larger than the second
+axes.formatter.use_locale : False # When True, format tick labels
+                                  # according to the user's locale.
+                                  # For example, use ',' as a decimal
+                                  # separator in the fr_FR locale.
+axes.formatter.use_mathtext : False # When True, use mathtext for scientific
+                                    # notation.
+axes.formatter.useoffset      : True    # If True, the tick label formatter
+                                        # will default to labeling ticks relative
+                                        # to an offset when the data range is very
+                                        # small compared to the minimum absolute
+                                        # value of the data.
+axes.formatter.offset_threshold : 2      # When useoffset is True, the offset
+                                         # will be used when it can remove
+                                         # at least this number of significant
+                                         # digits from tick labels.
+
+axes.unicode_minus  : True    # use Unicode for the minus symbol
+                              # rather than hyphen.  See
+                              # https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
+axes.prop_cycle    : cycler('color', 'bgrcmyk')
+                                           # color cycle for plot lines
+                                           # as list of string colorspecs:
+                                           # single letter, long name, or
+                                           # web-style hex
+axes.autolimit_mode : round_numbers
+axes.xmargin        : 0  # x margin.  See `axes.Axes.margins`
+axes.ymargin        : 0  # y margin See `axes.Axes.margins`
+axes.spines.bottom  : True
+axes.spines.left    : True
+axes.spines.right   : True
+axes.spines.top     : True
+polaraxes.grid      : True    # display grid on polar axes
+axes3d.grid         : True    # display grid on 3D axes
+axes3d.automargin   : False   # automatically add margin when manually setting 3D axis limits
+axes3d.depthshade   : False   # depth shade for 3D scatter plots
+axes3d.depthshade_minalpha : 0.3  # minimum alpha value for depth shading
+
+date.autoformatter.year   : %Y
+date.autoformatter.month  : %b %Y
+date.autoformatter.day    : %b %d %Y
+date.autoformatter.hour   : %H:%M:%S
+date.autoformatter.minute : %H:%M:%S.%f
+date.autoformatter.second : %H:%M:%S.%f
+date.autoformatter.microsecond : %H:%M:%S.%f
+date.converter:                  auto  # 'auto', 'concise'
+
+### TICKS
+# see https://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
+
+xtick.top            : True   # draw ticks on the top side
+xtick.bottom         : True   # draw ticks on the bottom side
+xtick.major.size     : 4      # major tick size in points
+xtick.minor.size     : 2      # minor tick size in points
+xtick.minor.visible  : False
+xtick.major.width    : 0.5    # major tick width in points
+xtick.minor.width    : 0.5    # minor tick width in points
+xtick.major.pad      : 4      # distance to major tick label in points
+xtick.minor.pad      : 4      # distance to the minor tick label in points
+xtick.color          : k      # color of the tick labels
+xtick.labelsize      : medium # fontsize of the tick labels
+xtick.direction      : in     # direction: in, out, or inout
+xtick.major.top      : True   # draw x axis top major ticks
+xtick.major.bottom   : True   # draw x axis bottom major ticks
+xtick.minor.top      : True   # draw x axis top minor ticks
+xtick.minor.bottom   : True   # draw x axis bottom minor ticks
+xtick.alignment : center
+
+ytick.left           : True   # draw ticks on the left side
+ytick.right          : True   # draw ticks on the right side
+ytick.major.size     : 4      # major tick size in points
+ytick.minor.size     : 2      # minor tick size in points
+ytick.minor.visible  : False
+ytick.major.width    : 0.5    # major tick width in points
+ytick.minor.width    : 0.5    # minor tick width in points
+ytick.major.pad      : 4      # distance to major tick label in points
+ytick.minor.pad      : 4      # distance to the minor tick label in points
+ytick.color          : k      # color of the tick labels
+ytick.labelsize      : medium # fontsize of the tick labels
+ytick.direction      : in     # direction: in, out, or inout
+ytick.major.left     : True   # draw y axis left major ticks
+ytick.major.right    : True   # draw y axis right major ticks
+ytick.minor.left     : True   # draw y axis left minor ticks
+ytick.minor.right    : True   # draw y axis right minor ticks
+ytick.alignment      : center
+
+### GRIDS
+grid.color       :   k       # grid color
+grid.linestyle   :   :       # dotted
+grid.linewidth   :   0.5     # in points
+grid.alpha       :   1.0     # transparency, between 0.0 and 1.0
+
+### Legend
+legend.fancybox      : False  # if True, use a rounded box for the
+                              # legend, else a rectangle
+legend.loc           : upper right
+legend.numpoints     : 2      # the number of points in the legend line
+legend.fontsize      : large
+legend.borderpad     : 0.4    # border whitespace in fontsize units
+legend.markerscale   : 1.0    # the relative size of legend markers vs. original
+# the following dimensions are in axes coords
+legend.labelspacing  : 0.5    # the vertical space between the legend entries in fraction of fontsize
+legend.handlelength  : 2.     # the length of the legend lines in fraction of fontsize
+legend.handleheight  : 0.7     # the height of the legend handle in fraction of fontsize
+legend.handletextpad : 0.8    # the space between the legend line and legend text in fraction of fontsize
+legend.borderaxespad : 0.5   # the border between the axes and legend edge in fraction of fontsize
+legend.columnspacing : 2.    # the border between the axes and legend edge in fraction of fontsize
+legend.shadow        : False
+legend.frameon       : True   # whether or not to draw a frame around legend
+legend.framealpha    : None    # opacity of legend frame
+legend.scatterpoints : 3 # number of scatter points
+legend.facecolor     : inherit   # legend background color (when 'inherit' uses axes.facecolor)
+legend.edgecolor     : inherit   # legend edge color (when 'inherit' uses axes.edgecolor)
+
+
+
+### FIGURE
+# See https://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
+figure.titlesize : medium     # size of the figure title
+figure.titleweight : normal   # weight of the figure title
+figure.labelsize:   medium    # size of the figure label
+figure.labelweight: normal    # weight of the figure label
+figure.figsize   : 8, 6    # figure size in inches
+figure.dpi       : 80      # figure dots per inch
+figure.facecolor : 0.75    # figure facecolor; 0.75 is scalar gray
+figure.edgecolor : w       # figure edgecolor
+figure.autolayout : False  # When True, automatically adjust subplot
+                           # parameters to make the plot fit the figure
+figure.frameon : True
+
+# The figure subplot parameters.  All dimensions are a fraction of the
+# figure width or height
+figure.subplot.left    : 0.125  # the left side of the subplots of the figure
+figure.subplot.right   : 0.9    # the right side of the subplots of the figure
+figure.subplot.bottom  : 0.1    # the bottom of the subplots of the figure
+figure.subplot.top     : 0.9    # the top of the subplots of the figure
+figure.subplot.wspace  : 0.2    # the amount of width reserved for space between subplots,
+                                # expressed as a fraction of the average axis width
+figure.subplot.hspace  : 0.2    # the amount of height reserved for space between subplots,
+                                # expressed as a fraction of the average axis height
+
+### IMAGES
+image.aspect : equal             # equal | auto | a number
+image.interpolation  : bilinear  # see help(imshow) for options
+image.cmap   : jet               # gray | jet | ...
+image.lut    : 256               # the size of the colormap lookup table
+image.origin : upper             # lower | upper
+image.resample  : False
+image.composite_image : True
+
+### CONTOUR PLOTS
+contour.negative_linestyle :  dashed # dashed | solid
+contour.corner_mask : True
+
+# errorbar props
+errorbar.capsize: 3
+
+# scatter props
+scatter.marker: o
+
+### Boxplots
+boxplot.bootstrap: None
+boxplot.boxprops.color: b
+boxplot.boxprops.linestyle: -
+boxplot.boxprops.linewidth: 1.0
+boxplot.capprops.color: k
+boxplot.capprops.linestyle: -
+boxplot.capprops.linewidth: 1.0
+boxplot.flierprops.color: b
+boxplot.flierprops.linestyle: none
+boxplot.flierprops.linewidth: 1.0
+boxplot.flierprops.marker: +
+boxplot.flierprops.markeredgecolor: k
+boxplot.flierprops.markerfacecolor: auto
+boxplot.flierprops.markersize: 6.0
+boxplot.meanline: False
+boxplot.meanprops.color: r
+boxplot.meanprops.linestyle: -
+boxplot.meanprops.linewidth: 1.0
+boxplot.medianprops.color: r
+boxplot.meanprops.marker: s
+boxplot.meanprops.markerfacecolor: r
+boxplot.meanprops.markeredgecolor: k
+boxplot.meanprops.markersize: 6.0
+boxplot.medianprops.linestyle: -
+boxplot.medianprops.linewidth: 1.0
+boxplot.notch: False
+boxplot.patchartist: False
+boxplot.showbox: True
+boxplot.showcaps: True
+boxplot.showfliers: True
+boxplot.showmeans: False
+boxplot.whiskerprops.color: b
+boxplot.whiskerprops.linestyle: --
+boxplot.whiskerprops.linewidth: 1.0
+boxplot.whiskers: 1.5
+
+### Agg rendering
+### Warning: experimental, 2008/10/10
+agg.path.chunksize : 0           # 0 to disable; values in the range
+                                 # 10000 to 100000 can improve speed slightly
+                                 # and prevent an Agg rendering failure
+                                 # when plotting very large data sets,
+                                 # especially if they are very gappy.
+                                 # It may cause minor artifacts, though.
+                                 # A value of 20000 is probably a good
+                                 # starting point.
+### SAVING FIGURES
+path.simplify : True   # When True, simplify paths by removing "invisible"
+                       # points to reduce file size and increase rendering
+                       # speed
+path.simplify_threshold : 0.1111111111111111
+                               # The threshold of similarity below which
+                               # vertices will be removed in the simplification
+                               # process
+path.snap : True # When True, rectilinear axis-aligned paths will be snapped to
+                 # the nearest pixel when certain criteria are met.  When False,
+                 # paths will never be snapped.
+path.sketch : None # May be none, or a 3-tuple of the form (scale, length,
+                   # randomness).
+                   # *scale* is the amplitude of the wiggle
+                   # perpendicular to the line (in pixels).  *length*
+                   # is the length of the wiggle along the line (in
+                   # pixels).  *randomness* is the factor by which
+                   # the length is randomly scaled.
+
+# the default savefig params can be different from the display params
+# e.g., you may want a higher resolution, or to make the figure
+# background white
+savefig.dpi         : 100      # figure dots per inch
+savefig.facecolor   : w        # figure facecolor when saving
+savefig.edgecolor   : w        # figure edgecolor when saving
+savefig.format      : png      # png, ps, pdf, svg
+savefig.bbox        : standard # 'tight' or 'standard'.
+                               # 'tight' is incompatible with pipe-based animation
+                               # backends (e.g. 'ffmpeg') but will work with those
+                               # based on temporary files (e.g. 'ffmpeg_file')
+savefig.pad_inches  : 0.1      # Padding to be used when bbox is set to 'tight'
+savefig.transparent : False    # setting that controls whether figures are saved with a
+                               # transparent background by default
+savefig.orientation : portrait
+
+# ps backend params
+ps.papersize      : letter   # auto, letter, legal, ledger, A0-A10, B0-B10
+ps.useafm         : False    # use of afm fonts, results in small files
+ps.usedistiller   : False    # can be: None, ghostscript or xpdf
+                                          # Experimental: may produce smaller files.
+                                          # xpdf intended for production of publication quality files,
+                                          # but requires ghostscript, xpdf and ps2eps
+ps.distiller.res  : 6000      # dpi
+ps.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
+
+# pdf backend params
+pdf.compression   : 6 # integer from 0 to 9
+                      # 0 disables compression (good for debugging)
+pdf.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
+pdf.inheritcolor   : False
+pdf.use14corefonts : False
+
+# pgf backend params
+pgf.texsystem       : xelatex
+pgf.rcfonts         : True
+pgf.preamble        :
+
+# svg backend params
+svg.image_inline : True       # write raster image data directly into the svg file
+svg.fonttype : path            # How to handle SVG fonts:
+#    'none': Assume fonts are installed on the machine where the SVG will be viewed.
+#    'path': Embed characters as paths -- supported by most SVG renderers
+
+# Event keys to interact with figures/plots via keyboard.
+# Customize these settings according to your needs.
+# Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
+
+keymap.fullscreen : f, ctrl+f       # toggling
+keymap.home : h, r, home            # home or reset mnemonic
+keymap.back : left, c, backspace    # forward / backward keys to enable
+keymap.forward : right, v           #   left handed quick navigation
+keymap.pan : p                      # pan mnemonic
+keymap.zoom : o                     # zoom mnemonic
+keymap.save : s, ctrl+s             # saving current figure
+keymap.quit : ctrl+w, cmd+w         # close the current figure
+keymap.grid : g                     # switching on/off a grid in current axes
+keymap.yscale : l                   # toggle scaling of y-axes ('log'/'linear')
+keymap.xscale : k, L                # toggle scaling of x-axes ('log'/'linear')
+
+###ANIMATION settings
+animation.writer : ffmpeg         # MovieWriter 'backend' to use
+animation.codec : mpeg4           # Codec to use for writing movie
+animation.bitrate: -1             # Controls size/quality tradeoff for movie.
+                                  # -1 implies let utility auto-determine
+animation.frame_format: png       # Controls frame format used by temp files
+animation.ffmpeg_path: ffmpeg     # Path to ffmpeg binary. Without full path
+                                  # $PATH is searched
+animation.ffmpeg_args:            # Additional arguments to pass to ffmpeg
+animation.convert_path: convert   # Path to ImageMagick's convert binary.
+                                  # On Windows use the full path since convert
+                                  # is also the name of a system tool.
+animation.convert_args:
+animation.html: none
+
+_internal.classic_mode: True
diff --git a/lib/matplotlib/mpl-data/stylelib/dark_background.mplstyle b/lib/matplotlib/mpl-data/stylelib/dark_background.mplstyle
index c3557c1f12b4..61a99f3c0d10 100644
--- a/lib/matplotlib/mpl-data/stylelib/dark_background.mplstyle
+++ b/lib/matplotlib/mpl-data/stylelib/dark_background.mplstyle
@@ -8,7 +8,7 @@ text.color: white
 axes.facecolor: black
 axes.edgecolor: white
 axes.labelcolor: white
-axes.color_cycle: 8dd3c7, feffb3, bfbbd9, fa8174, 81b1d2, fdb462, b3de69, bc82bd, ccebc4, ffed6f
+axes.prop_cycle: cycler('color', ['8dd3c7', 'feffb3', 'bfbbd9', 'fa8174', '81b1d2', 'fdb462', 'b3de69', 'bc82bd', 'ccebc4', 'ffed6f'])
 
 xtick.color: white
 ytick.color: white
@@ -18,6 +18,9 @@ grid.color: white
 figure.facecolor: black
 figure.edgecolor: black
 
-savefig.facecolor: black
-savefig.edgecolor: black
-
+### Boxplots
+boxplot.boxprops.color: white
+boxplot.capprops.color: white
+boxplot.flierprops.color: white
+boxplot.flierprops.markeredgecolor: white
+boxplot.whiskerprops.color: white
diff --git a/lib/matplotlib/mpl-data/stylelib/fast.mplstyle b/lib/matplotlib/mpl-data/stylelib/fast.mplstyle
new file mode 100644
index 000000000000..1f7be7d4632a
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/fast.mplstyle
@@ -0,0 +1,11 @@
+# a small set of changes that will make your plotting FAST (1).
+#
+# (1) in some cases
+
+# Maximally simplify lines.
+path.simplify: True
+path.simplify_threshold: 1.0
+
+# chunk up large lines into smaller lines!
+# simple trick to avoid those pesky O(>n) algorithms!
+agg.path.chunksize: 10000
diff --git a/lib/matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle b/lib/matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle
index efd91ebb321b..cd56d404c3b5 100644
--- a/lib/matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle
+++ b/lib/matplotlib/mpl-data/stylelib/fivethirtyeight.mplstyle
@@ -6,7 +6,7 @@ lines.solid_capstyle: butt
 
 legend.fancybox: true
 
-axes.color_cycle: 30a2da, fc4f30, e5ae38, 6d904f, 8b8b8b
+axes.prop_cycle: cycler('color', ['008fd5', 'fc4f30', 'e5ae38', '6d904f', '8b8b8b', '810f7c'])
 axes.facecolor: f0f0f0
 axes.labelsize: large
 axes.axisbelow: true
@@ -29,12 +29,9 @@ xtick.minor.size: 0
 ytick.major.size: 0
 ytick.minor.size: 0
 
-font.size:14.0
-
-savefig.edgecolor: f0f0f0
-savefig.facecolor: f0f0f0
+font.size: 14.0
 
 figure.subplot.left: 0.08
-figure.subplot.right: 0.95 
+figure.subplot.right: 0.95
 figure.subplot.bottom: 0.07
 figure.facecolor: f0f0f0
diff --git a/lib/matplotlib/mpl-data/stylelib/ggplot.mplstyle b/lib/matplotlib/mpl-data/stylelib/ggplot.mplstyle
index 5f7e8b3b20b6..d1b3ba2e337b 100644
--- a/lib/matplotlib/mpl-data/stylelib/ggplot.mplstyle
+++ b/lib/matplotlib/mpl-data/stylelib/ggplot.mplstyle
@@ -1,4 +1,4 @@
-# from http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/
+# from https://everyhue.me/posts/sane-color-scheme-for-matplotlib/
 
 patch.linewidth: 0.5
 patch.facecolor: 348ABD  # blue
@@ -16,7 +16,7 @@ axes.labelsize: large
 axes.labelcolor: 555555
 axes.axisbelow: True       # grid/ticks are below elements (e.g., lines, text)
 
-axes.color_cycle: E24A33, 348ABD, 988ED5, 777777, FBC15E, 8EBA42, FFB5B8
+axes.prop_cycle: cycler('color', ['E24A33', '348ABD', '988ED5', '777777', 'FBC15E', '8EBA42', 'FFB5B8'])
                    # E24A33 : red
                    # 348ABD : blue
                    # 988ED5 : purple
diff --git a/lib/matplotlib/mpl-data/stylelib/grayscale.mplstyle b/lib/matplotlib/mpl-data/stylelib/grayscale.mplstyle
index 2012b1b95d36..6a1114e40698 100644
--- a/lib/matplotlib/mpl-data/stylelib/grayscale.mplstyle
+++ b/lib/matplotlib/mpl-data/stylelib/grayscale.mplstyle
@@ -12,7 +12,7 @@ axes.facecolor: white
 axes.edgecolor: black
 axes.labelcolor: black
 # black to light gray
-axes.color_cycle: 0.00, 0.40, 0.60, 0.70
+axes.prop_cycle: cycler('color', ['0.00', '0.40', '0.60', '0.70'])
 
 xtick.color: black
 ytick.color: black
diff --git a/lib/matplotlib/mpl-data/stylelib/petroff10.mplstyle b/lib/matplotlib/mpl-data/stylelib/petroff10.mplstyle
new file mode 100644
index 000000000000..62d1262a09cd
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/petroff10.mplstyle
@@ -0,0 +1,5 @@
+# Color cycle survey palette from Petroff (2021):
+# https://arxiv.org/abs/2107.02270
+# https://github.com/mpetroff/accessible-color-cycles
+axes.prop_cycle: cycler('color', ['3f90da', 'ffa90e', 'bd1f01', '94a4a2', '832db6', 'a96b59', 'e76300', 'b9ac70', '717581', '92dadd'])
+patch.facecolor: 3f90da
diff --git a/lib/matplotlib/mpl-data/stylelib/petroff6.mplstyle b/lib/matplotlib/mpl-data/stylelib/petroff6.mplstyle
new file mode 100644
index 000000000000..ff227eba45ba
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/petroff6.mplstyle
@@ -0,0 +1,5 @@
+# Color cycle survey palette from Petroff (2021):
+# https://arxiv.org/abs/2107.02270
+# https://github.com/mpetroff/accessible-color-cycles
+axes.prop_cycle: cycler('color', ['5790fc', 'f89c20', 'e42536', '964a8b', '9c9ca1', '7a21dd'])
+patch.facecolor: 5790fc
diff --git a/lib/matplotlib/mpl-data/stylelib/petroff8.mplstyle b/lib/matplotlib/mpl-data/stylelib/petroff8.mplstyle
new file mode 100644
index 000000000000..0228f736ddea
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/petroff8.mplstyle
@@ -0,0 +1,5 @@
+# Color cycle survey palette from Petroff (2021):
+# https://arxiv.org/abs/2107.02270
+# https://github.com/mpetroff/accessible-color-cycles
+axes.prop_cycle: cycler('color', ['1845fb', 'ff5e02', 'c91f16', 'c849a9', 'adad7d', '86c8dd', '578dff', '656364'])
+patch.facecolor: 1845fb
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-bright.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-bright.mplstyle
new file mode 100644
index 000000000000..5e9e94937815
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-bright.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn bright palette
+axes.prop_cycle: cycler('color', ['003FFF', '03ED3A', 'E8000B', '8A2BE2', 'FFC400', '00D7FF'])
+patch.facecolor: 003FFF
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-colorblind.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-colorblind.mplstyle
new file mode 100644
index 000000000000..e13b7aade323
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-colorblind.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn colorblind palette
+axes.prop_cycle: cycler('color', ['0072B2', '009E73', 'D55E00', 'CC79A7', 'F0E442', '56B4E9'])
+patch.facecolor: 0072B2
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark-palette.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark-palette.mplstyle
new file mode 100644
index 000000000000..30160ae2506c
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark-palette.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn dark palette
+axes.prop_cycle: cycler('color', ['001C7F', '017517', '8C0900', '7600A1', 'B8860B', '006374'])
+patch.facecolor: 001C7F
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark.mplstyle
new file mode 100644
index 000000000000..55b50b5bdd26
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-dark.mplstyle
@@ -0,0 +1,30 @@
+# Seaborn common parameters
+# .15 = dark_gray
+# .8 = light_gray
+figure.facecolor: white
+text.color: .15
+axes.labelcolor: .15
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+xtick.color: .15
+ytick.color: .15
+axes.axisbelow: True
+image.cmap: Greys
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+
+# Seaborn dark parameters
+axes.grid: False
+axes.facecolor: EAEAF2
+axes.edgecolor: white
+axes.linewidth: 0
+grid.color: white
+xtick.major.size: 0
+ytick.major.size: 0
+xtick.minor.size: 0
+ytick.minor.size: 0
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-darkgrid.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-darkgrid.mplstyle
new file mode 100644
index 000000000000..0f5d955d7df6
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-darkgrid.mplstyle
@@ -0,0 +1,30 @@
+# Seaborn common parameters
+# .15 = dark_gray
+# .8 = light_gray
+figure.facecolor: white
+text.color: .15
+axes.labelcolor: .15
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+xtick.color: .15
+ytick.color: .15
+axes.axisbelow: True
+image.cmap: Greys
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+
+# Seaborn darkgrid parameters
+axes.grid: True
+axes.facecolor: EAEAF2
+axes.edgecolor: white
+axes.linewidth: 0
+grid.color: white
+xtick.major.size: 0
+ytick.major.size: 0
+xtick.minor.size: 0
+ytick.minor.size: 0
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-deep.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-deep.mplstyle
new file mode 100644
index 000000000000..5d6b7c560098
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-deep.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn deep palette
+axes.prop_cycle: cycler('color', ['4C72B0', '55A868', 'C44E52', '8172B2', 'CCB974', '64B5CD'])
+patch.facecolor: 4C72B0
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-muted.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-muted.mplstyle
new file mode 100644
index 000000000000..4a71646ce903
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-muted.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn muted palette
+axes.prop_cycle: cycler('color', ['4878CF', '6ACC65', 'D65F5F', 'B47CC7', 'C4AD66', '77BEDB'])
+patch.facecolor: 4878CF
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-notebook.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-notebook.mplstyle
new file mode 100644
index 000000000000..18bcf3e12042
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-notebook.mplstyle
@@ -0,0 +1,21 @@
+# Seaborn notebook context
+figure.figsize: 8.0, 5.5
+axes.labelsize: 11
+axes.titlesize: 12
+xtick.labelsize: 10
+ytick.labelsize: 10
+legend.fontsize: 10
+
+grid.linewidth: 1
+lines.linewidth: 1.75
+patch.linewidth: .3
+lines.markersize: 7
+lines.markeredgewidth: 0
+
+xtick.major.width: 1
+ytick.major.width: 1
+xtick.minor.width: .5
+ytick.minor.width: .5
+
+xtick.major.pad: 7
+ytick.major.pad: 7
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-paper.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-paper.mplstyle
new file mode 100644
index 000000000000..3326be4333b8
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-paper.mplstyle
@@ -0,0 +1,21 @@
+# Seaborn paper context
+figure.figsize: 6.4, 4.4
+axes.labelsize: 8.8
+axes.titlesize: 9.6
+xtick.labelsize: 8
+ytick.labelsize: 8
+legend.fontsize: 8
+
+grid.linewidth: 0.8
+lines.linewidth: 1.4
+patch.linewidth: 0.24
+lines.markersize: 5.6
+lines.markeredgewidth: 0
+
+xtick.major.width: 0.8
+ytick.major.width: 0.8
+xtick.minor.width: 0.4
+ytick.minor.width: 0.4
+
+xtick.major.pad: 5.6
+ytick.major.pad: 5.6
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-pastel.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-pastel.mplstyle
new file mode 100644
index 000000000000..dff67482c085
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-pastel.mplstyle
@@ -0,0 +1,3 @@
+# Seaborn pastel palette
+axes.prop_cycle: cycler('color', ['92C6FF', '97F0AA', 'FF9F9A', 'D0BBFF', 'FFFEA3', 'B0E0E6'])
+patch.facecolor: 92C6FF
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-poster.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-poster.mplstyle
new file mode 100644
index 000000000000..47f237006cae
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-poster.mplstyle
@@ -0,0 +1,21 @@
+# Seaborn poster context
+figure.figsize: 12.8, 8.8
+axes.labelsize: 17.6
+axes.titlesize: 19.2
+xtick.labelsize: 16
+ytick.labelsize: 16
+legend.fontsize: 16
+
+grid.linewidth: 1.6
+lines.linewidth: 2.8
+patch.linewidth: 0.48
+lines.markersize: 11.2
+lines.markeredgewidth: 0
+
+xtick.major.width: 1.6
+ytick.major.width: 1.6
+xtick.minor.width: 0.8
+ytick.minor.width: 0.8
+
+xtick.major.pad: 11.2
+ytick.major.pad: 11.2
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-talk.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-talk.mplstyle
new file mode 100644
index 000000000000..29a77c53c4a8
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-talk.mplstyle
@@ -0,0 +1,21 @@
+# Seaborn talk context
+figure.figsize: 10.4, 7.15
+axes.labelsize: 14.3
+axes.titlesize: 15.6
+xtick.labelsize: 13
+ytick.labelsize: 13
+legend.fontsize: 13
+
+grid.linewidth: 1.3
+lines.linewidth: 2.275
+patch.linewidth: 0.39
+lines.markersize: 9.1
+lines.markeredgewidth: 0
+
+xtick.major.width: 1.3
+ytick.major.width: 1.3
+xtick.minor.width: 0.65
+ytick.minor.width: 0.65
+
+xtick.major.pad: 9.1
+ytick.major.pad: 9.1
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-ticks.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-ticks.mplstyle
new file mode 100644
index 000000000000..c2a1cab9a5eb
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-ticks.mplstyle
@@ -0,0 +1,30 @@
+# Seaborn common parameters
+# .15 = dark_gray
+# .8 = light_gray
+figure.facecolor: white
+text.color: .15
+axes.labelcolor: .15
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+xtick.color: .15
+ytick.color: .15
+axes.axisbelow: True
+image.cmap: Greys
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+
+# Seaborn white parameters
+axes.grid: False
+axes.facecolor: white
+axes.edgecolor: .15
+axes.linewidth: 1.25
+grid.color: .8
+xtick.major.size: 6
+ytick.major.size: 6
+xtick.minor.size: 3
+ytick.minor.size: 3
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-white.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-white.mplstyle
new file mode 100644
index 000000000000..dcbe3acf31da
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-white.mplstyle
@@ -0,0 +1,30 @@
+# Seaborn common parameters
+# .15 = dark_gray
+# .8 = light_gray
+figure.facecolor: white
+text.color: .15
+axes.labelcolor: .15
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+xtick.color: .15
+ytick.color: .15
+axes.axisbelow: True
+image.cmap: Greys
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+
+# Seaborn white parameters
+axes.grid: False
+axes.facecolor: white
+axes.edgecolor: .15
+axes.linewidth: 1.25
+grid.color: .8
+xtick.major.size: 0
+ytick.major.size: 0
+xtick.minor.size: 0
+ytick.minor.size: 0
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-whitegrid.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-whitegrid.mplstyle
new file mode 100644
index 000000000000..612e21813e19
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8-whitegrid.mplstyle
@@ -0,0 +1,30 @@
+# Seaborn common parameters
+# .15 = dark_gray
+# .8 = light_gray
+figure.facecolor: white
+text.color: .15
+axes.labelcolor: .15
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+xtick.color: .15
+ytick.color: .15
+axes.axisbelow: True
+image.cmap: Greys
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+
+# Seaborn whitegrid parameters
+axes.grid: True
+axes.facecolor: white
+axes.edgecolor: .8
+axes.linewidth: 1
+grid.color: .8
+xtick.major.size: 0
+ytick.major.size: 0
+xtick.minor.size: 0
+ytick.minor.size: 0
diff --git a/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8.mplstyle b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8.mplstyle
new file mode 100644
index 000000000000..94b1bc837a47
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/seaborn-v0_8.mplstyle
@@ -0,0 +1,57 @@
+# default seaborn aesthetic
+# darkgrid + deep palette + notebook context
+
+axes.axisbelow: True
+axes.edgecolor: white
+axes.facecolor: EAEAF2
+axes.grid: True
+axes.labelcolor: .15
+axes.labelsize: 11
+axes.linewidth: 0
+axes.prop_cycle: cycler('color', ['4C72B0', '55A868', 'C44E52', '8172B2', 'CCB974', '64B5CD'])
+axes.titlesize: 12
+
+figure.facecolor: white
+figure.figsize: 8.0, 5.5
+
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+
+grid.color: white
+grid.linestyle: -
+grid.linewidth: 1
+
+image.cmap: Greys
+
+legend.fontsize: 10
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+
+lines.linewidth: 1.75
+lines.markeredgewidth: 0
+lines.markersize: 7
+lines.solid_capstyle: round
+
+patch.facecolor: 4C72B0
+patch.linewidth: .3
+
+text.color: .15
+
+xtick.color: .15
+xtick.direction: out
+xtick.labelsize: 10
+xtick.major.pad: 7
+xtick.major.size: 0
+xtick.major.width: 1
+xtick.minor.size: 0
+xtick.minor.width: .5
+
+ytick.color: .15
+ytick.direction: out
+ytick.labelsize: 10
+ytick.major.pad: 7
+ytick.major.size: 0
+ytick.major.width: 1
+ytick.minor.size: 0
+ytick.minor.width: .5
diff --git a/lib/matplotlib/mpl-data/stylelib/tableau-colorblind10.mplstyle b/lib/matplotlib/mpl-data/stylelib/tableau-colorblind10.mplstyle
new file mode 100644
index 000000000000..2d8cb0208d5a
--- /dev/null
+++ b/lib/matplotlib/mpl-data/stylelib/tableau-colorblind10.mplstyle
@@ -0,0 +1,3 @@
+# Tableau colorblind 10 palette
+axes.prop_cycle: cycler('color', ['006BA4', 'FF800E', 'ABABAB', '595959', '5F9ED1', 'C85200', '898989', 'A2C8EC', 'FFBC79', 'CFCFCF'])
+patch.facecolor: 006BA4
\ No newline at end of file
diff --git a/lib/matplotlib/mpl.py b/lib/matplotlib/mpl.py
deleted file mode 100644
index 897940e7f5b7..000000000000
--- a/lib/matplotlib/mpl.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-.. note:: Deprecated in 1.3
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import warnings
-from matplotlib import cbook
-cbook.warn_deprecated(
-    '1.3', name='matplotlib.mpl', alternative='`import matplotlib as mpl`',
-    obj_type='module')
-from matplotlib import artist
-from matplotlib import axis
-from matplotlib import axes
-from matplotlib import collections
-from matplotlib import colors
-from matplotlib import colorbar
-from matplotlib import contour
-from matplotlib import dates
-from matplotlib import figure
-from matplotlib import finance
-from matplotlib import font_manager
-from matplotlib import image
-from matplotlib import legend
-from matplotlib import lines
-from matplotlib import mlab
-from matplotlib import cm
-from matplotlib import patches
-from matplotlib import quiver
-from matplotlib import rcParams
-from matplotlib import table
-from matplotlib import text
-from matplotlib import ticker
-from matplotlib import transforms
-from matplotlib import units
-from matplotlib import widgets
diff --git a/lib/matplotlib/offsetbox.py b/lib/matplotlib/offsetbox.py
index b014950a4930..1e07125cdc2a 100644
--- a/lib/matplotlib/offsetbox.py
+++ b/lib/matplotlib/offsetbox.py
@@ -1,191 +1,269 @@
-"""
-The OffsetBox is a simple container artist. The child artist are meant
-to be drawn at a relative position to its parent.  The [VH]Packer,
-DrawingArea and TextArea are derived from the OffsetBox.
-
-The [VH]Packer automatically adjust the relative postisions of their
-children, which should be instances of the OffsetBox. This is used to
-align similar artists together, e.g., in legend.
-
-The DrawingArea can contain any Artist as a child. The
-DrawingArea has a fixed width and height. The position of children
-relative to the parent is fixed.  The TextArea is contains a single
-Text instance. The width and height of the TextArea instance is the
-width and height of the its child text.
+r"""
+Container classes for `.Artist`\s.
+
+`OffsetBox`
+    The base of all container artists defined in this module.
+
+`AnchoredOffsetbox`, `AnchoredText`
+    Anchor and align an arbitrary `.Artist` or a text relative to the parent
+    axes or a specific anchor point.
+
+`DrawingArea`
+    A container with fixed width and height. Children have a fixed position
+    inside the container and may be clipped.
+
+`HPacker`, `VPacker`
+    Containers for layouting their children vertically or horizontally.
+
+`PaddedBox`
+    A container to add a padding around an `.Artist`.
+
+`TextArea`
+    Contains a single `.Text` instance.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import functools
 
-import six
-from six.moves import xrange, zip
+import numpy as np
 
-import warnings
-import matplotlib.transforms as mtransforms
+import matplotlib as mpl
+from matplotlib import _api, _docstring
 import matplotlib.artist as martist
+import matplotlib.path as mpath
 import matplotlib.text as mtext
-import numpy as np
-from matplotlib.transforms import Bbox, BboxBase, TransformedBbox
-
+import matplotlib.transforms as mtransforms
 from matplotlib.font_manager import FontProperties
-from matplotlib.patches import FancyBboxPatch, FancyArrowPatch
-from matplotlib import rcParams
+from matplotlib.image import BboxImage
+from matplotlib.patches import (
+    FancyBboxPatch, FancyArrowPatch, bbox_artist as mbbox_artist)
+from matplotlib.transforms import Bbox, BboxBase, TransformedBbox
 
-from matplotlib import docstring
 
-#from bboximage import BboxImage
-from matplotlib.image import BboxImage
+DEBUG = False
 
-from matplotlib.patches import bbox_artist as mbbox_artist
-from matplotlib.text import _AnnotationBase
 
+def _compat_get_offset(meth):
+    """
+    Decorator for the get_offset method of OffsetBox and subclasses, that
+    allows supporting both the new signature (self, bbox, renderer) and the old
+    signature (self, width, height, xdescent, ydescent, renderer).
+    """
+    sigs = [lambda self, width, height, xdescent, ydescent, renderer: locals(),
+            lambda self, bbox, renderer: locals()]
 
-DEBUG = False
+    @functools.wraps(meth)
+    def get_offset(self, *args, **kwargs):
+        params = _api.select_matching_signature(sigs, self, *args, **kwargs)
+        bbox = (params["bbox"] if "bbox" in params else
+                Bbox.from_bounds(-params["xdescent"], -params["ydescent"],
+                                 params["width"], params["height"]))
+        return meth(params["self"], bbox, params["renderer"])
+    return get_offset
 
 
-# for debuging use
-def bbox_artist(*args, **kwargs):
+# for debugging use
+def _bbox_artist(*args, **kwargs):
     if DEBUG:
         mbbox_artist(*args, **kwargs)
 
-# _get_packed_offsets() and _get_aligned_offsets() are coded assuming
-# that we are packing boxes horizontally. But same function will be
-# used with vertical packing.
-
 
-def _get_packed_offsets(wd_list, total, sep, mode="fixed"):
+def _get_packed_offsets(widths, total, sep, mode="fixed"):
+    r"""
+    Pack boxes specified by their *widths*.
+
+    For simplicity of the description, the terminology used here assumes a
+    horizontal layout, but the function works equally for a vertical layout.
+
+    There are three packing *mode*\s:
+
+    - 'fixed': The elements are packed tight to the left with a spacing of
+      *sep* in between. If *total* is *None* the returned total will be the
+      right edge of the last box. A non-*None* total will be passed unchecked
+      to the output. In particular this means that right edge of the last
+      box may be further to the right than the returned total.
+
+    - 'expand': Distribute the boxes with equal spacing so that the left edge
+      of the first box is at 0, and the right edge of the last box is at
+      *total*. The parameter *sep* is ignored in this mode. A total of *None*
+      is accepted and considered equal to 1. The total is returned unchanged
+      (except for the conversion *None* to 1). If the total is smaller than
+      the sum of the widths, the laid out boxes will overlap.
+
+    - 'equal': If *total* is given, the total space is divided in N equal
+      ranges and each box is left-aligned within its subspace.
+      Otherwise (*total* is *None*), *sep* must be provided and each box is
+      left-aligned in its subspace of width ``(max(widths) + sep)``. The
+      total width is then calculated to be ``N * (max(widths) + sep)``.
+
+    Parameters
+    ----------
+    widths : list of float
+        Widths of boxes to be packed.
+    total : float or None
+        Intended total length. *None* if not used.
+    sep : float or None
+        Spacing between boxes.
+    mode : {'fixed', 'expand', 'equal'}
+        The packing mode.
+
+    Returns
+    -------
+    total : float
+        The total width needed to accommodate the laid out boxes.
+    offsets : array of float
+        The left offsets of the boxes.
     """
-    Geiven a list of (width, xdescent) of each boxes, calculate the
-    total width and the x-offset positions of each items according to
-    *mode*. xdescent is analagous to the usual descent, but along the
-    x-direction. xdescent values are currently ignored.
-
-    *wd_list* : list of (width, xdescent) of boxes to be packed.
-    *sep* : spacing between boxes
-    *total* : Intended total length. None if not used.
-    *mode* : packing mode. 'fixed', 'expand', or 'equal'.
-    """
-
-    w_list, d_list = list(zip(*wd_list))
-    # d_list is currently not used.
+    _api.check_in_list(["fixed", "expand", "equal"], mode=mode)
 
     if mode == "fixed":
-        offsets_ = np.add.accumulate([0] + [w + sep for w in w_list])
+        offsets_ = np.cumsum([0] + [w + sep for w in widths])
         offsets = offsets_[:-1]
-
         if total is None:
             total = offsets_[-1] - sep
-
         return total, offsets
 
     elif mode == "expand":
-        if len(w_list) > 1:
-            sep = (total - sum(w_list)) / (len(w_list) - 1.)
+        # This is a bit of a hack to avoid a TypeError when *total*
+        # is None and used in conjugation with tight layout.
+        if total is None:
+            total = 1
+        if len(widths) > 1:
+            sep = (total - sum(widths)) / (len(widths) - 1)
         else:
-            sep = 0.
-        offsets_ = np.add.accumulate([0] + [w + sep for w in w_list])
+            sep = 0
+        offsets_ = np.cumsum([0] + [w + sep for w in widths])
         offsets = offsets_[:-1]
-
         return total, offsets
 
     elif mode == "equal":
-        maxh = max(w_list)
+        maxh = max(widths)
         if total is None:
-            total = (maxh + sep) * len(w_list)
+            if sep is None:
+                raise ValueError("total and sep cannot both be None when "
+                                 "using layout mode 'equal'")
+            total = (maxh + sep) * len(widths)
         else:
-            sep = float(total) / (len(w_list)) - maxh
-
-        offsets = np.array([(maxh + sep) * i for i in range(len(w_list))])
-
+            sep = total / len(widths) - maxh
+        offsets = (maxh + sep) * np.arange(len(widths))
         return total, offsets
 
-    else:
-        raise ValueError("Unknown mode : %s" % (mode,))
-
 
-def _get_aligned_offsets(hd_list, height, align="baseline"):
+def _get_aligned_offsets(yspans, height, align="baseline"):
     """
-    Given a list of (height, descent) of each boxes, align the boxes
-    with *align* and calculate the y-offsets of each boxes.
-    total width and the offset positions of each items according to
-    *mode*. xdescent is analogous to the usual descent, but along the
-    x-direction. xdescent values are currently ignored.
-
-    *hd_list* : list of (width, xdescent) of boxes to be aligned.
-    *sep* : spacing between boxes
-    *height* : Intended total length. None if not used.
-    *align* : align mode. 'baseline', 'top', 'bottom', or 'center'.
+    Align boxes each specified by their ``(y0, y1)`` spans.
+
+    For simplicity of the description, the terminology used here assumes a
+    horizontal layout (i.e., vertical alignment), but the function works
+    equally for a vertical layout.
+
+    Parameters
+    ----------
+    yspans
+        List of (y0, y1) spans of boxes to be aligned.
+    height : float or None
+        Intended total height. If None, the maximum of the heights
+        (``y1 - y0``) in *yspans* is used.
+    align : {'baseline', 'left', 'top', 'right', 'bottom', 'center'}
+        The alignment anchor of the boxes.
+
+    Returns
+    -------
+    (y0, y1)
+        y range spanned by the packing.  If a *height* was originally passed
+        in, then for all alignments other than "baseline", a span of ``(0,
+        height)`` is used without checking that it is actually large enough).
+    descent
+        The descent of the packing.
+    offsets
+        The bottom offsets of the boxes.
     """
 
+    _api.check_in_list(
+        ["baseline", "left", "top", "right", "bottom", "center"], align=align)
     if height is None:
-        height = max([h for h, d in hd_list])
+        height = max(y1 - y0 for y0, y1 in yspans)
 
     if align == "baseline":
-        height_descent = max([h - d for h, d in hd_list])
-        descent = max([d for h, d in hd_list])
-        height = height_descent + descent
-        offsets = [0. for h, d in hd_list]
-    elif align in ["left", "top"]:
-        descent = 0.
-        offsets = [d for h, d in hd_list]
-    elif align in ["right", "bottom"]:
-        descent = 0.
-        offsets = [height - h + d for h, d in hd_list]
+        yspan = (min(y0 for y0, y1 in yspans), max(y1 for y0, y1 in yspans))
+        offsets = [0] * len(yspans)
+    elif align in ["left", "bottom"]:
+        yspan = (0, height)
+        offsets = [-y0 for y0, y1 in yspans]
+    elif align in ["right", "top"]:
+        yspan = (0, height)
+        offsets = [height - y1 for y0, y1 in yspans]
     elif align == "center":
-        descent = 0.
-        offsets = [(height - h) * .5 + d for h, d in hd_list]
-    else:
-        raise ValueError("Unknown Align mode : %s" % (align,))
+        yspan = (0, height)
+        offsets = [(height - (y1 - y0)) * .5 - y0 for y0, y1 in yspans]
 
-    return height, descent, offsets
+    return yspan, offsets
 
 
 class OffsetBox(martist.Artist):
     """
-    The OffsetBox is a simple container artist. The child artist are meant
-    to be drawn at a relative position to its parent.
-    """
-    def __init__(self, *args, **kwargs):
+    The OffsetBox is a simple container artist.
 
-        super(OffsetBox, self).__init__(*args, **kwargs)
+    The child artists are meant to be drawn at a relative position to its
+    parent.
 
-        # Clipping has not been implemented in the OffesetBox family, so
+    Being an artist itself, all keyword arguments are passed on to `.Artist`.
+    """
+    def __init__(self, **kwargs):
+        super().__init__()
+        self._internal_update(kwargs)
+        # Clipping has not been implemented in the OffsetBox family, so
         # disable the clip flag for consistency. It can always be turned back
         # on to zero effect.
         self.set_clip_on(False)
-
         self._children = []
         self._offset = (0, 0)
 
-    def __getstate__(self):
-        state = martist.Artist.__getstate__(self)
-
-        # pickle cannot save instancemethods, so handle them here
-        from .cbook import _InstanceMethodPickler
-        import inspect
-
-        offset = state['_offset']
-        if inspect.ismethod(offset):
-            state['_offset'] = _InstanceMethodPickler(offset)
-        return state
-
-    def __setstate__(self, state):
-        self.__dict__ = state
-        from .cbook import _InstanceMethodPickler
-        if isinstance(self._offset, _InstanceMethodPickler):
-            self._offset = self._offset.get_instancemethod()
-
     def set_figure(self, fig):
         """
-        Set the figure
+        Set the `.Figure` for the `.OffsetBox` and all its children.
 
-        accepts a class:`~matplotlib.figure.Figure` instance
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
         """
-        martist.Artist.set_figure(self, fig)
+        super().set_figure(fig)
         for c in self.get_children():
             c.set_figure(fig)
 
+    @martist.Artist.axes.setter
+    def axes(self, ax):
+        # TODO deal with this better
+        martist.Artist.axes.fset(self, ax)
+        for c in self.get_children():
+            if c is not None:
+                c.axes = ax
+
     def contains(self, mouseevent):
+        """
+        Delegate the mouse event contains-check to the children.
+
+        As a container, the `.OffsetBox` does not respond itself to
+        mouseevents.
+
+        Parameters
+        ----------
+        mouseevent : `~matplotlib.backend_bases.MouseEvent`
+
+        Returns
+        -------
+        contains : bool
+            Whether any values are within the radius.
+        details : dict
+            An artist-specific dictionary of details of the event context,
+            such as which points are contained in the pick radius. See the
+            individual Artist subclasses for details.
+
+        See Also
+        --------
+        .Artist.contains
+        """
+        if self._different_canvas(mouseevent):
+            return False, {}
         for c in self.get_children():
             a, b = c.contains(mouseevent)
             if a:
@@ -194,176 +272,182 @@ def contains(self, mouseevent):
 
     def set_offset(self, xy):
         """
-        Set the offset
+        Set the offset.
+
+        Parameters
+        ----------
+        xy : (float, float) or callable
+            The (x, y) coordinates of the offset in display units. These can
+            either be given explicitly as a tuple (x, y), or by providing a
+            function that converts the extent into the offset. This function
+            must have the signature::
 
-        accepts x, y, tuple, or a callable object.
+                def offset(width, height, xdescent, ydescent, renderer) \
+-> (float, float)
         """
         self._offset = xy
+        self.stale = True
 
-    def get_offset(self, width, height, xdescent, ydescent, renderer):
+    @_compat_get_offset
+    def get_offset(self, bbox, renderer):
         """
-        Get the offset
+        Return the offset as a tuple (x, y).
+
+        The extent parameters have to be provided to handle the case where the
+        offset is dynamically determined by a callable (see
+        `~.OffsetBox.set_offset`).
 
-        accepts extent of the box
+        Parameters
+        ----------
+        bbox : `.Bbox`
+        renderer : `.RendererBase` subclass
         """
-        if six.callable(self._offset):
-            return self._offset(width, height, xdescent, ydescent, renderer)
-        else:
-            return self._offset
+        return (
+            self._offset(bbox.width, bbox.height, -bbox.x0, -bbox.y0, renderer)
+            if callable(self._offset)
+            else self._offset)
 
     def set_width(self, width):
         """
-        Set the width
+        Set the width of the box.
 
-        accepts float
+        Parameters
+        ----------
+        width : float
         """
         self.width = width
+        self.stale = True
 
     def set_height(self, height):
         """
-        Set the height
+        Set the height of the box.
 
-        accepts float
+        Parameters
+        ----------
+        height : float
         """
         self.height = height
+        self.stale = True
 
     def get_visible_children(self):
-        """
-        Return a list of visible artists it contains.
-        """
+        r"""Return a list of the visible child `.Artist`\s."""
         return [c for c in self._children if c.get_visible()]
 
     def get_children(self):
-        """
-        Return a list of artists it contains.
-        """
+        r"""Return a list of the child `.Artist`\s."""
         return self._children
 
-    def get_extent_offsets(self, renderer):
-        raise Exception("")
-
-    def get_extent(self, renderer):
+    def _get_bbox_and_child_offsets(self, renderer):
         """
-        Return with, height, xdescent, ydescent of box
-        """
-        w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
-        return w, h, xd, yd
+        Return the bbox of the offsetbox and the child offsets.
+
+        The bbox should satisfy ``x0 <= x1 and y0 <= y1``.
 
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
-        px, py = self.get_offset(w, h, xd, yd, renderer)
-        return mtransforms.Bbox.from_bounds(px - xd, py - yd, w, h)
+        Parameters
+        ----------
+        renderer : `.RendererBase` subclass
+
+        Returns
+        -------
+        bbox
+        list of (xoffset, yoffset) pairs
+        """
+        raise NotImplementedError(
+            "get_bbox_and_offsets must be overridden in derived classes")
+
+    def get_bbox(self, renderer):
+        """Return the bbox of the offsetbox, ignoring parent offsets."""
+        bbox, offsets = self._get_bbox_and_child_offsets(renderer)
+        return bbox
+
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        bbox = self.get_bbox(renderer)
+        try:  # Some subclasses redefine get_offset to take no args.
+            px, py = self.get_offset(bbox, renderer)
+        except TypeError:
+            px, py = self.get_offset()
+        return bbox.translated(px, py)
 
     def draw(self, renderer):
         """
         Update the location of children if necessary and draw them
         to the given *renderer*.
         """
-
-        width, height, xdescent, ydescent, offsets = self.get_extent_offsets(
-                                                        renderer)
-
-        px, py = self.get_offset(width, height, xdescent, ydescent, renderer)
-
+        bbox, offsets = self._get_bbox_and_child_offsets(renderer)
+        px, py = self.get_offset(bbox, renderer)
         for c, (ox, oy) in zip(self.get_visible_children(), offsets):
             c.set_offset((px + ox, py + oy))
             c.draw(renderer)
-
-        bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        _bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
 
 class PackerBase(OffsetBox):
-    def __init__(self, pad=None, sep=None, width=None, height=None,
-                 align=None, mode=None,
-                 children=None):
+    def __init__(self, pad=0., sep=0., width=None, height=None,
+                 align="baseline", mode="fixed", children=None):
         """
         Parameters
         ----------
-        pad : float, optional
-            Boundary pad.
+        pad : float, default: 0.0
+            The boundary padding in points.
+
+        sep : float, default: 0.0
+            The spacing between items in points.
 
-        sep : float, optional
-            Spacing between items.
+        width, height : float, optional
+            Width and height of the container box in pixels, calculated if
+            *None*.
 
-        width : float, optional
+        align : {'top', 'bottom', 'left', 'right', 'center', 'baseline'}, \
+default: 'baseline'
+            Alignment of boxes.
 
-        height : float, optional
-           Width and height of the container box, calculated if
-           `None`.
+        mode : {'fixed', 'expand', 'equal'}, default: 'fixed'
+            The packing mode.
 
-        align : str, optional
-            Alignment of boxes. Can be one of ``top``, ``bottom``,
-            ``left``, ``right``, ``center`` and ``baseline``
+            - 'fixed' packs the given `.Artist`\\s tight with *sep* spacing.
+            - 'expand' uses the maximal available space to distribute the
+              artists with equal spacing in between.
+            - 'equal': Each artist an equal fraction of the available space
+              and is left-aligned (or top-aligned) therein.
 
-        mode : str, optional
-            Packing mode.
+        children : list of `.Artist`
+            The artists to pack.
 
         Notes
         -----
-        *pad* and *sep* need to given in points and will be scale with
-        the renderer dpi, while *width* and *height* need to be in
-        pixels.
+        *pad* and *sep* are in points and will be scaled with the renderer
+        dpi, while *width* and *height* are in pixels.
         """
-        super(PackerBase, self).__init__()
-
+        super().__init__()
         self.height = height
         self.width = width
         self.sep = sep
         self.pad = pad
         self.mode = mode
         self.align = align
-
         self._children = children
 
 
 class VPacker(PackerBase):
     """
-    The VPacker has its children packed vertically. It automatically
-    adjust the relative positions of children in the drawing time.
-    """
-    def __init__(self, pad=None, sep=None, width=None, height=None,
-                 align="baseline", mode="fixed",
-                 children=None):
-        """
-        Parameters
-        ----------
-        pad : float, optional
-            Boundary pad.
-
-        sep : float, optional
-            Spacing between items.
-
-        width : float, optional
-
-        height : float, optional
-
-            width and height of the container box, calculated if
-            `None`.
-
-        align : str, optional
-            Alignment of boxes.
-
-        mode : str, optional
-            Packing mode.
+    VPacker packs its children vertically, automatically adjusting their
+    relative positions at draw time.
 
-        Notes
-        -----
-        *pad* and *sep* need to given in points and will be scale with
-        the renderer dpi, while *width* and *height* need to be in
-        pixels.
-        """
-        super(VPacker, self).__init__(pad, sep, width, height,
-                                      align, mode,
-                                      children)
+    .. code-block:: none
 
-    def get_extent_offsets(self, renderer):
-        """
-        update offset of childrens and return the extents of the box
-        """
+       +---------+
+       | Child 1 |
+       | Child 2 |
+       | Child 3 |
+       +---------+
+    """
 
+    def _get_bbox_and_child_offsets(self, renderer):
+        # docstring inherited
         dpicor = renderer.points_to_pixels(1.)
         pad = self.pad * dpicor
         sep = self.sep * dpicor
@@ -373,165 +457,121 @@ def get_extent_offsets(self, renderer):
                 if isinstance(c, PackerBase) and c.mode == "expand":
                     c.set_width(self.width)
 
-        whd_list = [c.get_extent(renderer)
-                    for c in self.get_visible_children()]
-        whd_list = [(w, h, xd, (h - yd)) for w, h, xd, yd in whd_list]
-
-        wd_list = [(w, xd) for w, h, xd, yd in whd_list]
-        width, xdescent, xoffsets = _get_aligned_offsets(wd_list,
-                                                         self.width,
-                                                         self.align)
+        bboxes = [c.get_bbox(renderer) for c in self.get_visible_children()]
+        (x0, x1), xoffsets = _get_aligned_offsets(
+            [bbox.intervalx for bbox in bboxes], self.width, self.align)
+        height, yoffsets = _get_packed_offsets(
+            [bbox.height for bbox in bboxes], self.height, sep, self.mode)
 
-        pack_list = [(h, yd) for w, h, xd, yd in whd_list]
-        height, yoffsets_ = _get_packed_offsets(pack_list, self.height,
-                                                sep, self.mode)
-
-        yoffsets = yoffsets_ + [yd for w, h, xd, yd in whd_list]
-        ydescent = height - yoffsets[0]
-        yoffsets = height - yoffsets
-
-        #w, h, xd, h_yd = whd_list[-1]
+        yoffsets = height - (yoffsets + [bbox.y1 for bbox in bboxes])
+        ydescent = yoffsets[0]
         yoffsets = yoffsets - ydescent
 
-        return width + 2 * pad, height + 2 * pad, \
-               xdescent + pad, ydescent + pad, \
-               list(zip(xoffsets, yoffsets))
+        return (
+            Bbox.from_bounds(x0, -ydescent, x1 - x0, height).padded(pad),
+            [*zip(xoffsets, yoffsets)])
 
 
 class HPacker(PackerBase):
     """
-    The HPacker has its children packed horizontally. It automatically
-    adjusts the relative positions of children at draw time.
-    """
-    def __init__(self, pad=None, sep=None, width=None, height=None,
-                 align="baseline", mode="fixed",
-                 children=None):
-        """
-        Parameters
-        ----------
-        pad : float, optional
-            Boundary pad.
-
-        sep : float, optional
-            Spacing between items.
-
-        width : float, optional
-
-        height : float, optional
-           Width and height of the container box, calculated if
-           `None`.
+    HPacker packs its children horizontally, automatically adjusting their
+    relative positions at draw time.
 
-        align : str
-           Alignment of boxes.
+    .. code-block:: none
 
-        mode : str
-           Packing mode.
-
-        Notes
-        -----
-        *pad* and *sep* need to given in points and will be scale with
-        the renderer dpi, while *width* and *height* need to be in
-        pixels.
-        """
-        super(HPacker, self).__init__(pad, sep, width, height,
-                                      align, mode, children)
+       +-------------------------------+
+       | Child 1    Child 2    Child 3 |
+       +-------------------------------+
+    """
 
-    def get_extent_offsets(self, renderer):
-        """
-        update offset of children and return the extents of the box
-        """
+    def _get_bbox_and_child_offsets(self, renderer):
+        # docstring inherited
         dpicor = renderer.points_to_pixels(1.)
         pad = self.pad * dpicor
         sep = self.sep * dpicor
 
-        whd_list = [c.get_extent(renderer)
-                    for c in self.get_visible_children()]
-
-        if not whd_list:
-            return 2 * pad, 2 * pad, pad, pad, []
-
-        if self.height is None:
-            height_descent = max([h - yd for w, h, xd, yd in whd_list])
-            ydescent = max([yd for w, h, xd, yd in whd_list])
-            height = height_descent + ydescent
-        else:
-            height = self.height - 2 * pad  # width w/o pad
-
-        hd_list = [(h, yd) for w, h, xd, yd in whd_list]
-        height, ydescent, yoffsets = _get_aligned_offsets(hd_list,
-                                                          self.height,
-                                                          self.align)
-
-        pack_list = [(w, xd) for w, h, xd, yd in whd_list]
+        bboxes = [c.get_bbox(renderer) for c in self.get_visible_children()]
+        if not bboxes:
+            return Bbox.from_bounds(0, 0, 0, 0).padded(pad), []
 
-        width, xoffsets_ = _get_packed_offsets(pack_list, self.width,
-                                               sep, self.mode)
+        (y0, y1), yoffsets = _get_aligned_offsets(
+            [bbox.intervaly for bbox in bboxes], self.height, self.align)
+        width, xoffsets = _get_packed_offsets(
+            [bbox.width for bbox in bboxes], self.width, sep, self.mode)
 
-        xoffsets = xoffsets_ + [xd for w, h, xd, yd in whd_list]
+        x0 = bboxes[0].x0
+        xoffsets -= ([bbox.x0 for bbox in bboxes] - x0)
 
-        xdescent = whd_list[0][2]
-        xoffsets = xoffsets - xdescent
-
-        return width + 2 * pad, height + 2 * pad, \
-               xdescent + pad, ydescent + pad, \
-               list(zip(xoffsets, yoffsets))
+        return (Bbox.from_bounds(x0, y0, width, y1 - y0).padded(pad),
+                [*zip(xoffsets, yoffsets)])
 
 
 class PaddedBox(OffsetBox):
-    def __init__(self, child, pad=None, draw_frame=False, patch_attrs=None):
-        """
-        *pad* : boundary pad
+    """
+    A container to add a padding around an `.Artist`.
+
+    The `.PaddedBox` contains a `.FancyBboxPatch` that is used to visualize
+    it when rendering.
+
+    .. code-block:: none
+
+       +----------------------------+
+       |                            |
+       |                            |
+       |                            |
+       | <--pad--> Artist           |
+       |             ^              |
+       |            pad             |
+       |             v              |
+       +----------------------------+
+
+    Attributes
+    ----------
+    pad : float
+        The padding in points.
+    patch : `.FancyBboxPatch`
+        When *draw_frame* is True, this `.FancyBboxPatch` is made visible and
+        creates a border around the box.
+    """
 
-        .. note::
-          *pad* need to given in points and will be
-          scale with the renderer dpi, while *width* and *height*
-          need to be in pixels.
+    def __init__(self, child, pad=0., *, draw_frame=False, patch_attrs=None):
         """
-
-        super(PaddedBox, self).__init__()
-
+        Parameters
+        ----------
+        child : `~matplotlib.artist.Artist`
+            The contained `.Artist`.
+        pad : float, default: 0.0
+            The padding in points. This will be scaled with the renderer dpi.
+            In contrast, *width* and *height* are in *pixels* and thus not
+            scaled.
+        draw_frame : bool
+            Whether to draw the contained `.FancyBboxPatch`.
+        patch_attrs : dict or None
+            Additional parameters passed to the contained `.FancyBboxPatch`.
+        """
+        super().__init__()
         self.pad = pad
         self._children = [child]
-
         self.patch = FancyBboxPatch(
             xy=(0.0, 0.0), width=1., height=1.,
             facecolor='w', edgecolor='k',
             mutation_scale=1,  # self.prop.get_size_in_points(),
-            snap=True
-            )
-
-        self.patch.set_boxstyle("square", pad=0)
-
+            snap=True,
+            visible=draw_frame,
+            boxstyle="square,pad=0",
+        )
         if patch_attrs is not None:
             self.patch.update(patch_attrs)
 
-        self._drawFrame = draw_frame
-
-    def get_extent_offsets(self, renderer):
-        """
-        update offset of childrens and return the extents of the box
-        """
-
-        dpicor = renderer.points_to_pixels(1.)
-        pad = self.pad * dpicor
-
-        w, h, xd, yd = self._children[0].get_extent(renderer)
-
-        return w + 2 * pad, h + 2 * pad, \
-               xd + pad, yd + pad, \
-               [(0, 0)]
+    def _get_bbox_and_child_offsets(self, renderer):
+        # docstring inherited.
+        pad = self.pad * renderer.points_to_pixels(1.)
+        return (self._children[0].get_bbox(renderer).padded(pad), [(0, 0)])
 
     def draw(self, renderer):
-        """
-        Update the location of children if necessary and draw them
-        to the given *renderer*.
-        """
-
-        width, height, xdescent, ydescent, offsets = self.get_extent_offsets(
-                                                        renderer)
-
-        px, py = self.get_offset(width, height, xdescent, ydescent, renderer)
-
+        # docstring inherited
+        bbox, offsets = self._get_bbox_and_child_offsets(renderer)
+        px, py = self.get_offset(bbox, renderer)
         for c, (ox, oy) in zip(self.get_visible_children(), offsets):
             c.set_offset((px + ox, py + oy))
 
@@ -540,55 +580,64 @@ def draw(self, renderer):
         for c in self.get_visible_children():
             c.draw(renderer)
 
-        #bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
     def update_frame(self, bbox, fontsize=None):
-        self.patch.set_bounds(bbox.x0, bbox.y0,
-                              bbox.width, bbox.height)
-
+        self.patch.set_bounds(bbox.bounds)
         if fontsize:
             self.patch.set_mutation_scale(fontsize)
+        self.stale = True
 
     def draw_frame(self, renderer):
         # update the location and size of the legend
-        bbox = self.get_window_extent(renderer)
-        self.update_frame(bbox)
-
-        if self._drawFrame:
-            self.patch.draw(renderer)
+        self.update_frame(self.get_window_extent(renderer))
+        self.patch.draw(renderer)
 
 
 class DrawingArea(OffsetBox):
     """
     The DrawingArea can contain any Artist as a child. The DrawingArea
     has a fixed width and height. The position of children relative to
-    the parent is fixed.
+    the parent is fixed. The children can be clipped at the
+    boundaries of the parent.
     """
 
-    def __init__(self, width, height, xdescent=0.,
-                 ydescent=0., clip=True):
-        """
-        *width*, *height* : width and height of the container box.
-        *xdescent*, *ydescent* : descent of the box in x- and y-direction.
+    def __init__(self, width, height, xdescent=0., ydescent=0., clip=False):
         """
-
-        super(DrawingArea, self).__init__()
-
+        Parameters
+        ----------
+        width, height : float
+            Width and height of the container box.
+        xdescent, ydescent : float
+            Descent of the box in x- and y-direction.
+        clip : bool
+            Whether to clip the children to the box.
+        """
+        super().__init__()
         self.width = width
         self.height = height
         self.xdescent = xdescent
         self.ydescent = ydescent
-
+        self._clip_children = clip
         self.offset_transform = mtransforms.Affine2D()
-        self.offset_transform.clear()
-        self.offset_transform.translate(0, 0)
-
         self.dpi_transform = mtransforms.Affine2D()
 
+    @property
+    def clip_children(self):
+        """
+        If the children of this DrawingArea should be clipped
+        by DrawingArea bounding box.
+        """
+        return self._clip_children
+
+    @clip_children.setter
+    def clip_children(self, val):
+        self._clip_children = bool(val)
+        self.stale = True
+
     def get_transform(self):
         """
-        Return the :class:`~matplotlib.transforms.Transform` applied
-        to the children
+        Return the `~matplotlib.transforms.Transform` applied to the children.
         """
         return self.dpi_transform + self.offset_transform
 
@@ -596,233 +645,192 @@ def set_transform(self, t):
         """
         set_transform is ignored.
         """
-        pass
 
     def set_offset(self, xy):
         """
-        set offset of the container.
+        Set the offset of the container.
 
-        Accept : tuple of x,y cooridnate in disokay units.
+        Parameters
+        ----------
+        xy : (float, float)
+            The (x, y) coordinates of the offset in display units.
         """
         self._offset = xy
-
         self.offset_transform.clear()
         self.offset_transform.translate(xy[0], xy[1])
+        self.stale = True
 
     def get_offset(self):
-        """
-        return offset of the container.
-        """
+        """Return offset of the container."""
         return self._offset
 
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        w, h, xd, yd = self.get_extent(renderer)
-        ox, oy = self.get_offset()  # w, h, xd, yd)
-
-        return mtransforms.Bbox.from_bounds(ox - xd, oy - yd, w, h)
-
-    def get_extent(self, renderer):
-        """
-        Return with, height, xdescent, ydescent of box
-        """
-
+    def get_bbox(self, renderer):
+        # docstring inherited
         dpi_cor = renderer.points_to_pixels(1.)
-        return self.width * dpi_cor, self.height * dpi_cor, \
-               self.xdescent * dpi_cor, self.ydescent * dpi_cor
+        return Bbox.from_bounds(
+            -self.xdescent * dpi_cor, -self.ydescent * dpi_cor,
+            self.width * dpi_cor, self.height * dpi_cor)
 
     def add_artist(self, a):
-        'Add any :class:`~matplotlib.artist.Artist` to the container box'
+        """Add an `.Artist` to the container box."""
         self._children.append(a)
         if not a.is_transform_set():
             a.set_transform(self.get_transform())
+        if self.axes is not None:
+            a.axes = self.axes
+        fig = self.get_figure(root=False)
+        if fig is not None:
+            a.set_figure(fig)
 
     def draw(self, renderer):
-        """
-        Draw the children
-        """
+        # docstring inherited
 
         dpi_cor = renderer.points_to_pixels(1.)
         self.dpi_transform.clear()
-        self.dpi_transform.scale(dpi_cor, dpi_cor)
-
+        self.dpi_transform.scale(dpi_cor)
+
+        # At this point the DrawingArea has a transform
+        # to the display space so the path created is
+        # good for clipping children
+        tpath = mtransforms.TransformedPath(
+            mpath.Path([[0, 0], [0, self.height],
+                        [self.width, self.height],
+                        [self.width, 0]]),
+            self.get_transform())
         for c in self._children:
+            if self._clip_children and not (c.clipbox or c._clippath):
+                c.set_clip_path(tpath)
             c.draw(renderer)
 
-        bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        _bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
 
 class TextArea(OffsetBox):
     """
-    The TextArea is contains a single Text instance. The text is
-    placed at (0,0) with baseline+left alignment. The width and height
-    of the TextArea instance is the width and height of the its child
-    text.
+    The TextArea is a container artist for a single Text instance.
+
+    The text is placed at (0, 0) with baseline+left alignment, by default. The
+    width and height of the TextArea instance is the width and height of its
+    child text.
     """
+
     def __init__(self, s,
+                 *,
                  textprops=None,
-                 multilinebaseline=None,
-                 minimumdescent=True,
+                 multilinebaseline=False,
                  ):
         """
         Parameters
         ----------
         s : str
-            a string to be displayed.
-
-        textprops : `~matplotlib.font_manager.FontProperties`, optional
-
-        multilinebaseline : bool, optional
-            If `True`, baseline for multiline text is adjusted so that
-            it is (approximatedly) center-aligned with singleline
-            text.
-
-        minimumdescent : bool, optional
-            If `True`, the box has a minimum descent of "p".
+            The text to be displayed.
+        textprops : dict, default: {}
+            Dictionary of keyword parameters to be passed to the `.Text`
+            instance in the TextArea.
+        multilinebaseline : bool, default: False
+            Whether the baseline for multiline text is adjusted so that it
+            is (approximately) center-aligned with single-line text.
         """
         if textprops is None:
             textprops = {}
-
-        if "va" not in textprops:
-            textprops["va"] = "baseline"
-
         self._text = mtext.Text(0, 0, s, **textprops)
-
-        OffsetBox.__init__(self)
-
+        super().__init__()
         self._children = [self._text]
-
         self.offset_transform = mtransforms.Affine2D()
-        self.offset_transform.clear()
-        self.offset_transform.translate(0, 0)
         self._baseline_transform = mtransforms.Affine2D()
         self._text.set_transform(self.offset_transform +
                                  self._baseline_transform)
-
         self._multilinebaseline = multilinebaseline
-        self._minimumdescent = minimumdescent
 
     def set_text(self, s):
-        "set text"
+        """Set the text of this area as a string."""
         self._text.set_text(s)
+        self.stale = True
 
     def get_text(self):
-        "get text"
+        """Return the string representation of this area's text."""
         return self._text.get_text()
 
     def set_multilinebaseline(self, t):
         """
-        Set multilinebaseline .
+        Set multilinebaseline.
 
-        If True, baseline for multiline text is
-        adjusted so that it is (approximatedly) center-aligned with
-        singleline text.
+        If True, the baseline for multiline text is adjusted so that it is
+        (approximately) center-aligned with single-line text.  This is used
+        e.g. by the legend implementation so that single-line labels are
+        baseline-aligned, but multiline labels are "center"-aligned with them.
         """
         self._multilinebaseline = t
+        self.stale = True
 
     def get_multilinebaseline(self):
         """
-        get multilinebaseline .
+        Get multilinebaseline.
         """
         return self._multilinebaseline
 
-    def set_minimumdescent(self, t):
-        """
-        Set minimumdescent .
-
-        If True, extent of the single line text is adjusted so that
-        it has minimum descent of "p"
-        """
-        self._minimumdescent = t
-
-    def get_minimumdescent(self):
-        """
-        get minimumdescent.
-        """
-        return self._minimumdescent
-
     def set_transform(self, t):
         """
         set_transform is ignored.
         """
-        pass
 
     def set_offset(self, xy):
         """
-        set offset of the container.
+        Set the offset of the container.
 
-        Accept : tuple of x,y coordinates in display units.
+        Parameters
+        ----------
+        xy : (float, float)
+            The (x, y) coordinates of the offset in display units.
         """
         self._offset = xy
-
         self.offset_transform.clear()
         self.offset_transform.translate(xy[0], xy[1])
+        self.stale = True
 
     def get_offset(self):
-        """
-        return offset of the container.
-        """
+        """Return offset of the container."""
         return self._offset
 
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        w, h, xd, yd = self.get_extent(renderer)
-        ox, oy = self.get_offset()  # w, h, xd, yd)
-        return mtransforms.Bbox.from_bounds(ox - xd, oy - yd, w, h)
-
-    def get_extent(self, renderer):
-        clean_line, ismath = self._text.is_math_text(self._text._text)
-        _, h_, d_ = renderer.get_text_width_height_descent(
-            "lp", self._text._fontproperties, ismath=False)
+    def get_bbox(self, renderer):
+        _, h_, d_ = mtext._get_text_metrics_with_cache(
+            renderer, "lp", self._text._fontproperties,
+            ismath="TeX" if self._text.get_usetex() else False,
+            dpi=self.get_figure(root=True).dpi)
 
-        bbox, info, d = self._text._get_layout(renderer)
-        w, h = bbox.width, bbox.height
-
-        line = info[-1][0]  # last line
+        bbox, info, yd = self._text._get_layout(renderer)
+        w, h = bbox.size
 
         self._baseline_transform.clear()
 
         if len(info) > 1 and self._multilinebaseline:
-            d_new = 0.5 * h - 0.5 * (h_ - d_)
-            self._baseline_transform.translate(0, d - d_new)
-            d = d_new
-
+            yd_new = 0.5 * h - 0.5 * (h_ - d_)
+            self._baseline_transform.translate(0, yd - yd_new)
+            yd = yd_new
         else:  # single line
+            h_d = max(h_ - d_, h - yd)
+            h = h_d + yd
 
-            h_d = max(h_ - d_, h - d)
-
-            if self.get_minimumdescent():
-                ## to have a minimum descent, #i.e., "l" and "p" have same
-                ## descents.
-                d = max(d, d_)
-            #else:
-            #    d = d
+        ha = self._text.get_horizontalalignment()
+        x0 = {"left": 0, "center": -w / 2, "right": -w}[ha]
 
-            h = h_d + d
-
-        return w, h, 0., d
+        return Bbox.from_bounds(x0, -yd, w, h)
 
     def draw(self, renderer):
-        """
-        Draw the children
-        """
-
+        # docstring inherited
         self._text.draw(renderer)
-
-        bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        _bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
 
 class AuxTransformBox(OffsetBox):
     """
-    Offset Box with the aux_transform . Its children will be
+    Offset Box with the aux_transform. Its children will be
     transformed with the aux_transform first then will be
-    offseted. The absolute coordinate of the aux_transform is meaning
+    offsetted. The absolute coordinate of the aux_transform is meaning
     as it will be automatically adjust so that the left-lower corner
-    of the bounding box of children will be set to (0,0) before the
+    of the bounding box of children will be set to (0, 0) before the
     offset transform.
 
     It is similar to drawing area, except that the extent of the box
@@ -832,195 +840,185 @@ class AuxTransformBox(OffsetBox):
     """
     def __init__(self, aux_transform):
         self.aux_transform = aux_transform
-        OffsetBox.__init__(self)
-
+        super().__init__()
         self.offset_transform = mtransforms.Affine2D()
-        self.offset_transform.clear()
-        self.offset_transform.translate(0, 0)
-
-        # ref_offset_transform is used to make the offset_transform is
-        # always reference to the lower-left corner of the bbox of its
-        # children.
+        # ref_offset_transform makes offset_transform always relative to the
+        # lower-left corner of the bbox of its children.
         self.ref_offset_transform = mtransforms.Affine2D()
-        self.ref_offset_transform.clear()
 
     def add_artist(self, a):
-        'Add any :class:`~matplotlib.artist.Artist` to the container box'
+        """Add an `.Artist` to the container box."""
         self._children.append(a)
         a.set_transform(self.get_transform())
+        self.stale = True
 
     def get_transform(self):
         """
         Return the :class:`~matplotlib.transforms.Transform` applied
         to the children
         """
-        return self.aux_transform + \
-               self.ref_offset_transform + \
-               self.offset_transform
+        return (self.aux_transform
+                + self.ref_offset_transform
+                + self.offset_transform)
 
     def set_transform(self, t):
         """
         set_transform is ignored.
         """
-        pass
 
     def set_offset(self, xy):
         """
-        set offset of the container.
+        Set the offset of the container.
 
-        Accept : tuple of x,y coordinate in disokay units.
+        Parameters
+        ----------
+        xy : (float, float)
+            The (x, y) coordinates of the offset in display units.
         """
         self._offset = xy
-
         self.offset_transform.clear()
         self.offset_transform.translate(xy[0], xy[1])
+        self.stale = True
 
     def get_offset(self):
-        """
-        return offset of the container.
-        """
+        """Return offset of the container."""
         return self._offset
 
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        w, h, xd, yd = self.get_extent(renderer)
-        ox, oy = self.get_offset()  # w, h, xd, yd)
-        return mtransforms.Bbox.from_bounds(ox - xd, oy - yd, w, h)
-
-    def get_extent(self, renderer):
-
+    def get_bbox(self, renderer):
         # clear the offset transforms
-        _off = self.offset_transform.to_values()  # to be restored later
+        _off = self.offset_transform.get_matrix()  # to be restored later
         self.ref_offset_transform.clear()
         self.offset_transform.clear()
-
         # calculate the extent
         bboxes = [c.get_window_extent(renderer) for c in self._children]
-        ub = mtransforms.Bbox.union(bboxes)
-
-        # adjust ref_offset_tansform
+        ub = Bbox.union(bboxes)
+        # adjust ref_offset_transform
         self.ref_offset_transform.translate(-ub.x0, -ub.y0)
-
-        # restor offset transform
-        mtx = self.offset_transform.matrix_from_values(*_off)
-        self.offset_transform.set_matrix(mtx)
-
-        return ub.width, ub.height, 0., 0.
+        # restore offset transform
+        self.offset_transform.set_matrix(_off)
+        return Bbox.from_bounds(0, 0, ub.width, ub.height)
 
     def draw(self, renderer):
-        """
-        Draw the children
-        """
-
+        # docstring inherited
         for c in self._children:
             c.draw(renderer)
-
-        bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        _bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
 
 class AnchoredOffsetbox(OffsetBox):
     """
-    An offset box placed according to the legend location
-    loc. AnchoredOffsetbox has a single child. When multiple children
-    is needed, use other OffsetBox class to enclose them.  By default,
-    the offset box is anchored against its parent axes. You may
-    explicitly specify the bbox_to_anchor.
+    An offset box placed according to location *loc*.
+
+    AnchoredOffsetbox has a single child.  When multiple children are needed,
+    use an extra OffsetBox to enclose them.  By default, the offset box is
+    anchored against its parent Axes. You may explicitly specify the
+    *bbox_to_anchor*.
     """
     zorder = 5  # zorder of the legend
 
-    def __init__(self, loc,
+    # Location codes
+    codes = {'upper right': 1,
+             'upper left': 2,
+             'lower left': 3,
+             'lower right': 4,
+             'right': 5,
+             'center left': 6,
+             'center right': 7,
+             'lower center': 8,
+             'upper center': 9,
+             'center': 10,
+             }
+
+    def __init__(self, loc, *,
                  pad=0.4, borderpad=0.5,
                  child=None, prop=None, frameon=True,
                  bbox_to_anchor=None,
                  bbox_transform=None,
                  **kwargs):
         """
-        loc is a string or an integer specifying the legend location.
-        The valid  location codes are::
-
-        'upper right'  : 1,
-        'upper left'   : 2,
-        'lower left'   : 3,
-        'lower right'  : 4,
-        'right'        : 5,
-        'center left'  : 6,
-        'center right' : 7,
-        'lower center' : 8,
-        'upper center' : 9,
-        'center'       : 10,
-
-        pad : pad around the child for drawing a frame. given in
-          fraction of fontsize.
-
-        borderpad : pad between offsetbox frame and the bbox_to_anchor,
-
-        child : OffsetBox instance that will be anchored.
-
-        prop : font property. This is only used as a reference for paddings.
-
-        frameon : draw a frame box if True.
-
-        bbox_to_anchor : bbox to anchor. Use self.axes.bbox if None.
-
-        bbox_transform : with which the bbox_to_anchor will be transformed.
+        Parameters
+        ----------
+        loc : str
+            The box location.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.4
+            Padding around the child as fraction of the fontsize.
+        borderpad : float, default: 0.5
+            Padding between the offsetbox frame and the *bbox_to_anchor*.
+        child : `.OffsetBox`
+            The box that will be anchored.
+        prop : `.FontProperties`
+            This is only used as a reference for paddings. If not given,
+            :rc:`legend.fontsize` is used.
+        frameon : bool
+            Whether to draw a frame around the box.
+        bbox_to_anchor : `.BboxBase`, 2-tuple, or 4-tuple of floats
+            Box that is used to position the legend in conjunction with *loc*.
+        bbox_transform : None or :class:`matplotlib.transforms.Transform`
+            The transform for the bounding box (*bbox_to_anchor*).
+        **kwargs
+            All other parameters are passed on to `.OffsetBox`.
 
+        Notes
+        -----
+        See `.Legend` for a detailed description of the anchoring mechanism.
         """
-        super(AnchoredOffsetbox, self).__init__(**kwargs)
+        super().__init__(**kwargs)
 
         self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
         self.set_child(child)
 
+        if isinstance(loc, str):
+            loc = _api.check_getitem(self.codes, loc=loc)
+
         self.loc = loc
         self.borderpad = borderpad
         self.pad = pad
 
         if prop is None:
-            self.prop = FontProperties(size=rcParams["legend.fontsize"])
-        elif isinstance(prop, dict):
-            self.prop = FontProperties(**prop)
-            if "size" not in prop:
-                self.prop.set_size(rcParams["legend.fontsize"])
+            self.prop = FontProperties(size=mpl.rcParams["legend.fontsize"])
         else:
-            self.prop = prop
+            self.prop = FontProperties._from_any(prop)
+            if isinstance(prop, dict) and "size" not in prop:
+                self.prop.set_size(mpl.rcParams["legend.fontsize"])
 
         self.patch = FancyBboxPatch(
             xy=(0.0, 0.0), width=1., height=1.,
             facecolor='w', edgecolor='k',
             mutation_scale=self.prop.get_size_in_points(),
-            snap=True
-            )
-        self.patch.set_boxstyle("square", pad=0)
-        self._drawFrame = frameon
+            snap=True,
+            visible=frameon,
+            boxstyle="square,pad=0",
+        )
 
     def set_child(self, child):
-        "set the child to be anchored"
+        """Set the child to be anchored."""
         self._child = child
+        if child is not None:
+            child.axes = self.axes
+        self.stale = True
 
     def get_child(self):
-        "return the child"
+        """Return the child."""
         return self._child
 
     def get_children(self):
-        "return the list of children"
+        """Return the list of children."""
         return [self._child]
 
-    def get_extent(self, renderer):
-        """
-        return the extent of the artist. The extent of the child
-        added with the pad is returned
-        """
-        w, h, xd, yd = self.get_child().get_extent(renderer)
+    def get_bbox(self, renderer):
+        # docstring inherited
         fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
         pad = self.pad * fontsize
-
-        return w + 2 * pad, h + 2 * pad, xd + pad, yd + pad
+        return self.get_child().get_bbox(renderer).padded(pad)
 
     def get_bbox_to_anchor(self):
-        """
-        return the bbox that the legend will be anchored
-        """
+        """Return the bbox that the box is anchored to."""
         if self._bbox_to_anchor is None:
             return self.axes.bbox
         else:
@@ -1028,12 +1026,11 @@ def get_bbox_to_anchor(self):
             if transform is None:
                 return self._bbox_to_anchor
             else:
-                return TransformedBbox(self._bbox_to_anchor,
-                                       transform)
+                return TransformedBbox(self._bbox_to_anchor, transform)
 
     def set_bbox_to_anchor(self, bbox, transform=None):
         """
-        set the bbox that the child will be anchored.
+        Set the bbox that the box is anchored to.
 
         *bbox* can be a Bbox instance, a list of [left, bottom, width,
         height], or a list of [left, bottom] where the width and
@@ -1045,8 +1042,8 @@ def set_bbox_to_anchor(self, bbox, transform=None):
         else:
             try:
                 l = len(bbox)
-            except TypeError:
-                raise ValueError("Invalid argument for bbox : %s" % str(bbox))
+            except TypeError as err:
+                raise ValueError(f"Invalid bbox: {bbox}") from err
 
             if l == 2:
                 bbox = [bbox[0], bbox[1], 0, 0]
@@ -1054,92 +1051,51 @@ def set_bbox_to_anchor(self, bbox, transform=None):
             self._bbox_to_anchor = Bbox.from_bounds(*bbox)
 
         self._bbox_to_anchor_transform = transform
-
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        self._update_offset_func(renderer)
-        w, h, xd, yd = self.get_extent(renderer)
-        ox, oy = self.get_offset(w, h, xd, yd, renderer)
-        return Bbox.from_bounds(ox - xd, oy - yd, w, h)
-
-    def _update_offset_func(self, renderer, fontsize=None):
-        """
-        Update the offset func which depends on the dpi of the
-        renderer (because of the padding).
-        """
-        if fontsize is None:
-            fontsize = renderer.points_to_pixels(
-                            self.prop.get_size_in_points())
-
-        def _offset(w, h, xd, yd, renderer, fontsize=fontsize, self=self):
-            bbox = Bbox.from_bounds(0, 0, w, h)
-            borderpad = self.borderpad * fontsize
-            bbox_to_anchor = self.get_bbox_to_anchor()
-
-            x0, y0 = self._get_anchored_bbox(self.loc,
-                                             bbox,
-                                             bbox_to_anchor,
-                                             borderpad)
-            return x0 + xd, y0 + yd
-
-        self.set_offset(_offset)
+        self.stale = True
+
+    @_compat_get_offset
+    def get_offset(self, bbox, renderer):
+        # docstring inherited
+        pad = (self.borderpad
+               * renderer.points_to_pixels(self.prop.get_size_in_points()))
+        bbox_to_anchor = self.get_bbox_to_anchor()
+        x0, y0 = _get_anchored_bbox(
+            self.loc, Bbox.from_bounds(0, 0, bbox.width, bbox.height),
+            bbox_to_anchor, pad)
+        return x0 - bbox.x0, y0 - bbox.y0
 
     def update_frame(self, bbox, fontsize=None):
-            self.patch.set_bounds(bbox.x0, bbox.y0,
-                                  bbox.width, bbox.height)
-
-            if fontsize:
-                self.patch.set_mutation_scale(fontsize)
+        self.patch.set_bounds(bbox.bounds)
+        if fontsize:
+            self.patch.set_mutation_scale(fontsize)
 
     def draw(self, renderer):
-        "draw the artist"
-
+        # docstring inherited
         if not self.get_visible():
             return
 
+        # update the location and size of the legend
+        bbox = self.get_window_extent(renderer)
         fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
-        self._update_offset_func(renderer, fontsize)
-
-        if self._drawFrame:
-            # update the location and size of the legend
-            bbox = self.get_window_extent(renderer)
-            self.update_frame(bbox, fontsize)
-            self.patch.draw(renderer)
-
-        width, height, xdescent, ydescent = self.get_extent(renderer)
-
-        px, py = self.get_offset(width, height, xdescent, ydescent, renderer)
+        self.update_frame(bbox, fontsize)
+        self.patch.draw(renderer)
 
+        px, py = self.get_offset(self.get_bbox(renderer), renderer)
         self.get_child().set_offset((px, py))
         self.get_child().draw(renderer)
+        self.stale = False
 
-    def _get_anchored_bbox(self, loc, bbox, parentbbox, borderpad):
-        """
-        return the position of the bbox anchored at the parentbbox
-        with the loc code, with the borderpad.
-        """
-        assert loc in range(1, 11)  # called only internally
-
-        BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = list(xrange(11))
-
-        anchor_coefs = {UR: "NE",
-                        UL: "NW",
-                        LL: "SW",
-                        LR: "SE",
-                        R: "E",
-                        CL: "W",
-                        CR: "E",
-                        LC: "S",
-                        UC: "N",
-                        C: "C"}
-
-        c = anchor_coefs[loc]
 
-        container = parentbbox.padded(-borderpad)
-        anchored_box = bbox.anchored(c, container=container)
-        return anchored_box.x0, anchored_box.y0
+def _get_anchored_bbox(loc, bbox, parentbbox, borderpad):
+    """
+    Return the (x, y) position of the *bbox* anchored at the *parentbbox* with
+    the *loc* code with the *borderpad*.
+    """
+    # This is only called internally and *loc* should already have been
+    # validated.  If 0 (None), we just let ``bbox.anchored`` raise.
+    c = [None, "NE", "NW", "SW", "SE", "E", "W", "E", "S", "N", "C"][loc]
+    container = parentbbox.padded(-borderpad)
+    return bbox.anchored(c, container=container).p0
 
 
 class AnchoredText(AnchoredOffsetbox):
@@ -1147,64 +1103,60 @@ class AnchoredText(AnchoredOffsetbox):
     AnchoredOffsetbox with Text.
     """
 
-    def __init__(self, s, loc, pad=0.4, borderpad=0.5, prop=None, **kwargs):
+    def __init__(self, s, loc, *, pad=0.4, borderpad=0.5, prop=None, **kwargs):
         """
         Parameters
         ----------
-        s : string
+        s : str
             Text.
 
         loc : str
-            Location code.
+            Location code. See `AnchoredOffsetbox`.
 
-        pad : float, optional
-            Pad between the text and the frame as fraction of the font
-            size.
+        pad : float, default: 0.4
+            Padding around the text as fraction of the fontsize.
 
-        borderpad : float, optional
-            Pad between the frame and the axes (or *bbox_to_anchor*).
+        borderpad : float, default: 0.5
+            Spacing between the offsetbox frame and the *bbox_to_anchor*.
 
-        prop : `matplotlib.font_manager.FontProperties`
-            Font properties.
+        prop : dict, optional
+            Dictionary of keyword parameters to be passed to the
+            `~matplotlib.text.Text` instance contained inside AnchoredText.
 
-        Notes
-        -----
-        Other keyword parameters of `AnchoredOffsetbox` are also
-        allowed.
+        **kwargs
+            All other parameters are passed to `AnchoredOffsetbox`.
         """
 
         if prop is None:
             prop = {}
-        propkeys = list(six.iterkeys(prop))
-        badkwargs = ('ha', 'horizontalalignment', 'va', 'verticalalignment')
-        if set(badkwargs) & set(propkeys):
-            warnings.warn("Mixing horizontalalignment or verticalalignment "
-                    "with AnchoredText is not supported.")
-
-        self.txt = TextArea(s, textprops=prop,
-                            minimumdescent=False)
-        fp = self.txt._text.get_fontproperties()
+        badkwargs = {'va', 'verticalalignment'}
+        if badkwargs & set(prop):
+            raise ValueError(
+                'Mixing verticalalignment with AnchoredText is not supported.')
 
-        super(AnchoredText, self).__init__(loc, pad=pad, borderpad=borderpad,
-                                           child=self.txt,
-                                           prop=fp,
-                                           **kwargs)
+        self.txt = TextArea(s, textprops=prop)
+        fp = self.txt._text.get_fontproperties()
+        super().__init__(
+            loc, pad=pad, borderpad=borderpad, child=self.txt, prop=fp,
+            **kwargs)
 
 
 class OffsetImage(OffsetBox):
-    def __init__(self, arr,
+
+    def __init__(self, arr, *,
                  zoom=1,
                  cmap=None,
                  norm=None,
                  interpolation=None,
                  origin=None,
-                 filternorm=1,
+                 filternorm=True,
                  filterrad=4.0,
                  resample=False,
                  dpi_cor=True,
                  **kwargs
                  ):
 
+        super().__init__()
         self._dpi_cor = dpi_cor
 
         self.image = BboxImage(bbox=self.get_window_extent,
@@ -1223,91 +1175,60 @@ def __init__(self, arr,
         self.set_zoom(zoom)
         self.set_data(arr)
 
-        OffsetBox.__init__(self)
-
     def set_data(self, arr):
         self._data = np.asarray(arr)
         self.image.set_data(self._data)
+        self.stale = True
 
     def get_data(self):
         return self._data
 
     def set_zoom(self, zoom):
         self._zoom = zoom
+        self.stale = True
 
     def get_zoom(self):
         return self._zoom
 
-#     def set_axes(self, axes):
-#         self.image.set_axes(axes)
-#         martist.Artist.set_axes(self, axes)
-
-#     def set_offset(self, xy):
-#         """
-#         set offset of the container.
-
-#         Accept : tuple of x,y coordinate in disokay units.
-#         """
-#         self._offset = xy
-
-#         self.offset_transform.clear()
-#         self.offset_transform.translate(xy[0], xy[1])
-
     def get_offset(self):
-        """
-        return offset of the container.
-        """
+        """Return offset of the container."""
         return self._offset
 
     def get_children(self):
         return [self.image]
 
-    def get_window_extent(self, renderer):
-        '''
-        get the bounding box in display space.
-        '''
-        w, h, xd, yd = self.get_extent(renderer)
-        ox, oy = self.get_offset()
-        return mtransforms.Bbox.from_bounds(ox - xd, oy - yd, w, h)
-
-    def get_extent(self, renderer):
-
-        # FIXME dpi_cor is never used
-        if self._dpi_cor:  # True, do correction
-            dpi_cor = renderer.points_to_pixels(1.)
-        else:
-            dpi_cor = 1.
-
+    def get_bbox(self, renderer):
+        dpi_cor = renderer.points_to_pixels(1.) if self._dpi_cor else 1.
         zoom = self.get_zoom()
         data = self.get_data()
         ny, nx = data.shape[:2]
-        w, h = nx * zoom, ny * zoom
-
-        return w, h, 0, 0
+        w, h = dpi_cor * nx * zoom, dpi_cor * ny * zoom
+        return Bbox.from_bounds(0, 0, w, h)
 
     def draw(self, renderer):
-        """
-        Draw the children
-        """
+        # docstring inherited
         self.image.draw(renderer)
-        #bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        # bbox_artist(self, renderer, fill=False, props=dict(pad=0.))
+        self.stale = False
 
 
-class AnnotationBbox(martist.Artist, _AnnotationBase):
+class AnnotationBbox(martist.Artist, mtext._AnnotationBase):
     """
-    Annotation-like class, but with offsetbox instead of Text.
+    Container for an `OffsetBox` referring to a specific position *xy*.
+
+    Optionally an arrow pointing from the offsetbox to *xy* can be drawn.
+
+    This is like `.Annotation`, but with `OffsetBox` instead of `.Text`.
     """
+
     zorder = 3
 
     def __str__(self):
-        return "AnnotationBbox(%g,%g)" % (self.xy[0], self.xy[1])
-
-    @docstring.dedent_interpd
-    def __init__(self, offsetbox, xy,
-                 xybox=None,
-                 xycoords='data',
-                 boxcoords=None,
-                 frameon=True, pad=0.4,  # BboxPatch
+        return f"AnnotationBbox({self.xy[0]:g},{self.xy[1]:g})"
+
+    @_docstring.interpd
+    def __init__(self, offsetbox, xy, xybox=None, xycoords='data', boxcoords=None, *,
+                 frameon=True, pad=0.4,  # FancyBboxPatch boxstyle.
                  annotation_clip=None,
                  box_alignment=(0.5, 0.5),
                  bboxprops=None,
@@ -1315,36 +1236,82 @@ def __init__(self, offsetbox, xy,
                  fontsize=None,
                  **kwargs):
         """
-        *offsetbox* : OffsetBox instance
-
-        *xycoords* : same as Annotation but can be a tuple of two
-           strings which are interpreted as x and y coordinates.
-
-        *boxcoords* : similar to textcoords as Annotation but can be a
-           tuple of two strings which are interpreted as x and y
-           coordinates.
-
-        *box_alignment* : a tuple of two floats for a vertical and
-           horizontal alignment of the offset box w.r.t. the *boxcoords*.
-           The lower-left corner is (0.0) and upper-right corner is (1.1).
+        Parameters
+        ----------
+        offsetbox : `OffsetBox`
+
+        xy : (float, float)
+            The point *(x, y)* to annotate. The coordinate system is determined
+            by *xycoords*.
+
+        xybox : (float, float), default: *xy*
+            The position *(x, y)* to place the text at. The coordinate system
+            is determined by *boxcoords*.
+
+        xycoords : single or two-tuple of str or `.Artist` or `.Transform` or \
+callable, default: 'data'
+            The coordinate system that *xy* is given in. See the parameter
+            *xycoords* in `.Annotation` for a detailed description.
+
+        boxcoords : single or two-tuple of str or `.Artist` or `.Transform` \
+or callable, default: value of *xycoords*
+            The coordinate system that *xybox* is given in. See the parameter
+            *textcoords* in `.Annotation` for a detailed description.
+
+        frameon : bool, default: True
+            By default, the text is surrounded by a white `.FancyBboxPatch`
+            (accessible as the ``patch`` attribute of the `.AnnotationBbox`).
+            If *frameon* is set to False, this patch is made invisible.
+
+        annotation_clip: bool or None, default: None
+            Whether to clip (i.e. not draw) the annotation when the annotation
+            point *xy* is outside the Axes area.
+
+            - If *True*, the annotation will be clipped when *xy* is outside
+              the Axes.
+            - If *False*, the annotation will always be drawn.
+            - If *None*, the annotation will be clipped when *xy* is outside
+              the Axes and *xycoords* is 'data'.
+
+        pad : float, default: 0.4
+            Padding around the offsetbox.
+
+        box_alignment : (float, float)
+            A tuple of two floats for a vertical and horizontal alignment of
+            the offset box w.r.t. the *boxcoords*.
+            The lower-left corner is (0, 0) and upper-right corner is (1, 1).
+
+        bboxprops : dict, optional
+            A dictionary of properties to set for the annotation bounding box,
+            for example *boxstyle* and *alpha*.  See `.FancyBboxPatch` for
+            details.
+
+        arrowprops: dict, optional
+            Arrow properties, see `.Annotation` for description.
+
+        fontsize: float or str, optional
+            Translated to points and passed as *mutation_scale* into
+            `.FancyBboxPatch` to scale attributes of the box style (e.g. pad
+            or rounding_size).  The name is chosen in analogy to `.Text` where
+            *fontsize* defines the mutation scale as well.  If not given,
+            :rc:`legend.fontsize` is used.  See `.Text.set_fontsize` for valid
+            values.
+
+        **kwargs
+            Other `AnnotationBbox` properties.  See `.AnnotationBbox.set` for
+            a list.
+        """
+
+        martist.Artist.__init__(self)
+        mtext._AnnotationBase.__init__(
+            self, xy, xycoords=xycoords, annotation_clip=annotation_clip)
 
-        other parameters are identical to that of Annotation.
-        """
         self.offsetbox = offsetbox
-
-        self.arrowprops = arrowprops
-
+        self.arrowprops = arrowprops.copy() if arrowprops is not None else None
         self.set_fontsize(fontsize)
-
-        if xybox is None:
-            self.xybox = xy
-        else:
-            self.xybox = xybox
-
-        if boxcoords is None:
-            self.boxcoords = xycoords
-        else:
-            self.boxcoords = boxcoords
+        self.xybox = xybox if xybox is not None else xy
+        self.boxcoords = boxcoords if boxcoords is not None else xycoords
+        self._box_alignment = box_alignment
 
         if arrowprops is not None:
             self._arrow_relpos = self.arrowprops.pop("relpos", (0.5, 0.5))
@@ -1354,27 +1321,18 @@ def __init__(self, offsetbox, xy,
             self._arrow_relpos = None
             self.arrow_patch = None
 
-        _AnnotationBase.__init__(self,
-                                 xy,
-                                 xycoords=xycoords,
-                                 annotation_clip=annotation_clip)
-
-        martist.Artist.__init__(self, **kwargs)
-
-        #self._fw, self._fh = 0., 0. # for alignment
-        self._box_alignment = box_alignment
-
-        # frame
-        self.patch = FancyBboxPatch(
+        self.patch = FancyBboxPatch(  # frame
             xy=(0.0, 0.0), width=1., height=1.,
             facecolor='w', edgecolor='k',
             mutation_scale=self.prop.get_size_in_points(),
-            snap=True
-            )
+            snap=True,
+            visible=frameon,
+        )
         self.patch.set_boxstyle("square", pad=pad)
         if bboxprops:
             self.patch.set(**bboxprops)
-        self._drawFrame = frameon
+
+        self._internal_update(kwargs)
 
     @property
     def xyann(self):
@@ -1383,6 +1341,7 @@ def xyann(self):
     @xyann.setter
     def xyann(self, xyann):
         self.xybox = xyann
+        self.stale = True
 
     @property
     def anncoords(self):
@@ -1391,17 +1350,16 @@ def anncoords(self):
     @anncoords.setter
     def anncoords(self, coords):
         self.boxcoords = coords
+        self.stale = True
 
-    def contains(self, event):
-        t, tinfo = self.offsetbox.contains(event)
-        #if self.arrow_patch is not None:
-        #    a,ainfo=self.arrow_patch.contains(event)
-        #    t = t or a
-
+    def contains(self, mouseevent):
+        if self._different_canvas(mouseevent):
+            return False, {}
+        if not self._check_xy(None):
+            return False, {}
+        return self.offsetbox.contains(mouseevent)
         # self.arrow_patch is currently not checked as this can be a line - JJ
 
-        return t, tinfo
-
     def get_children(self):
         children = [self.offsetbox, self.patch]
         if self.arrow_patch:
@@ -1409,7 +1367,6 @@ def get_children(self):
         return children
 
     def set_figure(self, fig):
-
         if self.arrow_patch is not None:
             self.arrow_patch.set_figure(fig)
         self.offsetbox.set_figure(fig)
@@ -1417,219 +1374,194 @@ def set_figure(self, fig):
 
     def set_fontsize(self, s=None):
         """
-        set fontsize in points
-        """
-        if s is None:
-            s = rcParams["legend.fontsize"]
+        Set the fontsize in points.
 
+        If *s* is not given, reset to :rc:`legend.fontsize`.
+        """
+        s = mpl._val_or_rc(s, "legend.fontsize")
         self.prop = FontProperties(size=s)
+        self.stale = True
 
-    def get_fontsize(self, s=None):
-        """
-        return fontsize in points
-        """
+    def get_fontsize(self):
+        """Return the fontsize in points."""
         return self.prop.get_size_in_points()
 
-    def update_positions(self, renderer):
-        """
-        Update the pixel positions of the annotated point and the text.
-        """
-        xy_pixel = self._get_position_xy(renderer)
-        self._update_position_xybox(renderer, xy_pixel)
-
-        mutation_scale = renderer.points_to_pixels(self.get_fontsize())
-        self.patch.set_mutation_scale(mutation_scale)
-
-        if self.arrow_patch:
-            self.arrow_patch.set_mutation_scale(mutation_scale)
-
-    def _update_position_xybox(self, renderer, xy_pixel):
-        """
-        Update the pixel positions of the annotation text and the arrow
-        patch.
-        """
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        self.update_positions(renderer)
+        return Bbox.union([child.get_window_extent(renderer)
+                           for child in self.get_children()])
 
-        x, y = self.xybox
-        if isinstance(self.boxcoords, tuple):
-            xcoord, ycoord = self.boxcoords
-            x1, y1 = self._get_xy(renderer, x, y, xcoord)
-            x2, y2 = self._get_xy(renderer, x, y, ycoord)
-            ox0, oy0 = x1, y2
-        else:
-            ox0, oy0 = self._get_xy(renderer, x, y, self.boxcoords)
+    def get_tightbbox(self, renderer=None):
+        # docstring inherited
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        self.update_positions(renderer)
+        return Bbox.union([child.get_tightbbox(renderer)
+                           for child in self.get_children()])
 
-        w, h, xd, yd = self.offsetbox.get_extent(renderer)
+    def update_positions(self, renderer):
+        """Update pixel positions for the annotated point, the text, and the arrow."""
 
-        _fw, _fh = self._box_alignment
-        self.offsetbox.set_offset((ox0 - _fw * w + xd, oy0 - _fh * h + yd))
+        ox0, oy0 = self._get_xy(renderer, self.xybox, self.boxcoords)
+        bbox = self.offsetbox.get_bbox(renderer)
+        fw, fh = self._box_alignment
+        self.offsetbox.set_offset(
+            (ox0 - fw*bbox.width - bbox.x0, oy0 - fh*bbox.height - bbox.y0))
 
-        # update patch position
         bbox = self.offsetbox.get_window_extent(renderer)
-        #self.offsetbox.set_offset((ox0-_fw*w, oy0-_fh*h))
-        self.patch.set_bounds(bbox.x0, bbox.y0,
-                              bbox.width, bbox.height)
+        self.patch.set_bounds(bbox.bounds)
 
-        x, y = xy_pixel
-
-        ox1, oy1 = x, y
+        mutation_scale = renderer.points_to_pixels(self.get_fontsize())
+        self.patch.set_mutation_scale(mutation_scale)
 
         if self.arrowprops:
-            x0, y0 = x, y
-
-            d = self.arrowprops.copy()
-
             # Use FancyArrowPatch if self.arrowprops has "arrowstyle" key.
 
-            # adjust the starting point of the arrow relative to
-            # the textbox.
-            # TODO : Rotation needs to be accounted.
-            relpos = self._arrow_relpos
-
-            ox0 = bbox.x0 + bbox.width * relpos[0]
-            oy0 = bbox.y0 + bbox.height * relpos[1]
-
-            # The arrow will be drawn from (ox0, oy0) to (ox1,
-            # oy1). It will be first clipped by patchA and patchB.
-            # Then it will be shrinked by shirnkA and shrinkB
-            # (in points). If patch A is not set, self.bbox_patch
-            # is used.
-
-            self.arrow_patch.set_positions((ox0, oy0), (ox1, oy1))
-            fs = self.prop.get_size_in_points()
-            mutation_scale = d.pop("mutation_scale", fs)
-            mutation_scale = renderer.points_to_pixels(mutation_scale)
+            # Adjust the starting point of the arrow relative to the textbox.
+            # TODO: Rotation needs to be accounted.
+            arrow_begin = bbox.p0 + bbox.size * self._arrow_relpos
+            arrow_end = self._get_position_xy(renderer)
+            # The arrow (from arrow_begin to arrow_end) will be first clipped
+            # by patchA and patchB, then shrunk by shrinkA and shrinkB (in
+            # points).  If patch A is not set, self.bbox_patch is used.
+            self.arrow_patch.set_positions(arrow_begin, arrow_end)
+
+            if "mutation_scale" in self.arrowprops:
+                mutation_scale = renderer.points_to_pixels(
+                    self.arrowprops["mutation_scale"])
+                # Else, use fontsize-based mutation_scale defined above.
             self.arrow_patch.set_mutation_scale(mutation_scale)
 
-            patchA = d.pop("patchA", self.patch)
+            patchA = self.arrowprops.get("patchA", self.patch)
             self.arrow_patch.set_patchA(patchA)
 
     def draw(self, renderer):
-        """
-        Draw the :class:`Annotation` object to the given *renderer*.
-        """
-
-        if renderer is not None:
-            self._renderer = renderer
-        if not self.get_visible():
+        # docstring inherited
+        if not self.get_visible() or not self._check_xy(renderer):
             return
-
-        xy_pixel = self._get_position_xy(renderer)
-
-        if not self._check_xy(renderer, xy_pixel):
-            return
-
+        renderer.open_group(self.__class__.__name__, gid=self.get_gid())
         self.update_positions(renderer)
-
         if self.arrow_patch is not None:
-            if self.arrow_patch.figure is None and self.figure is not None:
-                self.arrow_patch.figure = self.figure
+            if (self.arrow_patch.get_figure(root=False) is None and
+                    (fig := self.get_figure(root=False)) is not None):
+                self.arrow_patch.set_figure(fig)
             self.arrow_patch.draw(renderer)
-
-        if self._drawFrame:
-            self.patch.draw(renderer)
-
+        self.patch.draw(renderer)
         self.offsetbox.draw(renderer)
+        renderer.close_group(self.__class__.__name__)
+        self.stale = False
 
 
-class DraggableBase(object):
+class DraggableBase:
     """
-    helper code for a draggable artist (legend, offsetbox)
-    The derived class must override following two method.
-
-      def saveoffset(self):
-          pass
-
-      def update_offset(self, dx, dy):
-          pass
+    Helper base class for a draggable artist (legend, offsetbox).
 
-    *saveoffset* is called when the object is picked for dragging and it is
-    meant to save reference position of the artist.
+    Derived classes must override the following methods::
 
-    *update_offset* is called during the dragging. dx and dy is the pixel
-     offset from the point where the mouse drag started.
+        def save_offset(self):
+            '''
+            Called when the object is picked for dragging; should save the
+            reference position of the artist.
+            '''
 
-    Optionally you may override following two methods.
+        def update_offset(self, dx, dy):
+            '''
+            Called during the dragging; (*dx*, *dy*) is the pixel offset from
+            the point where the mouse drag started.
+            '''
 
-      def artist_picker(self, artist, evt):
-          return self.ref_artist.contains(evt)
+    Optionally, you may override the following method::
 
-      def finalize_offset(self):
-          pass
-
-    *artist_picker* is a picker method that will be
-     used. *finalize_offset* is called when the mouse is released. In
-     current implementaion of DraggableLegend and DraggableAnnotation,
-     *update_offset* places the artists simply in display
-     coordinates. And *finalize_offset* recalculate their position in
-     the normalized axes coordinate and set a relavant attribute.
+        def finalize_offset(self):
+            '''Called when the mouse is released.'''
 
+    In the current implementation of `.DraggableLegend` and
+    `DraggableAnnotation`, `update_offset` places the artists in display
+    coordinates, and `finalize_offset` recalculates their position in axes
+    coordinate and set a relevant attribute.
     """
+
     def __init__(self, ref_artist, use_blit=False):
         self.ref_artist = ref_artist
+        if not ref_artist.pickable():
+            ref_artist.set_picker(self._picker)
         self.got_artist = False
-
-        self.canvas = self.ref_artist.figure.canvas
         self._use_blit = use_blit and self.canvas.supports_blit
-
-        c2 = self.canvas.mpl_connect('pick_event', self.on_pick)
-        c3 = self.canvas.mpl_connect('button_release_event', self.on_release)
-
-        ref_artist.set_picker(self.artist_picker)
-        self.cids = [c2, c3]
+        callbacks = self.canvas.callbacks
+        self._disconnectors = [
+            functools.partial(
+                callbacks.disconnect, callbacks._connect_picklable(name, func))
+            for name, func in [
+                ("pick_event", self.on_pick),
+                ("button_release_event", self.on_release),
+                ("motion_notify_event", self.on_motion),
+            ]
+        ]
+
+    @staticmethod
+    def _picker(artist, mouseevent):
+        # A custom picker to prevent dragging on mouse scroll events
+        if mouseevent.name == "scroll_event":
+            return False, {}
+        return artist.contains(mouseevent)
+
+    # A property, not an attribute, to maintain picklability.
+    canvas = property(lambda self: self.ref_artist.get_figure(root=True).canvas)
+    cids = property(lambda self: [
+        disconnect.args[0] for disconnect in self._disconnectors[:2]])
 
     def on_motion(self, evt):
-        if self.got_artist:
-            dx = evt.x - self.mouse_x
-            dy = evt.y - self.mouse_y
-            self.update_offset(dx, dy)
-            self.canvas.draw()
-
-    def on_motion_blit(self, evt):
-        if self.got_artist:
+        if self._check_still_parented() and self.got_artist:
             dx = evt.x - self.mouse_x
             dy = evt.y - self.mouse_y
             self.update_offset(dx, dy)
-            self.canvas.restore_region(self.background)
-            self.ref_artist.draw(self.ref_artist.figure._cachedRenderer)
-            self.canvas.blit(self.ref_artist.figure.bbox)
+            if self._use_blit:
+                self.canvas.restore_region(self.background)
+                self.ref_artist.draw(
+                    self.ref_artist.get_figure(root=True)._get_renderer())
+                self.canvas.blit()
+            else:
+                self.canvas.draw()
 
     def on_pick(self, evt):
-        if evt.artist == self.ref_artist:
-
-            self.mouse_x = evt.mouseevent.x
-            self.mouse_y = evt.mouseevent.y
-            self.got_artist = True
-
-            if self._use_blit:
+        if self._check_still_parented():
+            if evt.artist == self.ref_artist:
+                self.mouse_x = evt.mouseevent.x
+                self.mouse_y = evt.mouseevent.y
+                self.save_offset()
+                self.got_artist = True
+            if self.got_artist and self._use_blit:
                 self.ref_artist.set_animated(True)
                 self.canvas.draw()
-                self.background = self.canvas.copy_from_bbox(
-                                    self.ref_artist.figure.bbox)
-                self.ref_artist.draw(self.ref_artist.figure._cachedRenderer)
-                self.canvas.blit(self.ref_artist.figure.bbox)
-                self._c1 = self.canvas.mpl_connect('motion_notify_event',
-                                                   self.on_motion_blit)
-            else:
-                self._c1 = self.canvas.mpl_connect('motion_notify_event',
-                                                   self.on_motion)
-            self.save_offset()
+                fig = self.ref_artist.get_figure(root=False)
+                self.background = self.canvas.copy_from_bbox(fig.bbox)
+                self.ref_artist.draw(fig._get_renderer())
+                self.canvas.blit()
 
     def on_release(self, event):
-        if self.got_artist:
+        if self._check_still_parented() and self.got_artist:
             self.finalize_offset()
             self.got_artist = False
-            self.canvas.mpl_disconnect(self._c1)
-
             if self._use_blit:
+                self.canvas.restore_region(self.background)
+                self.ref_artist.draw(self.ref_artist.figure._get_renderer())
+                self.canvas.blit()
                 self.ref_artist.set_animated(False)
 
-    def disconnect(self):
-        """disconnect the callbacks"""
-        for cid in self.cids:
-            self.canvas.mpl_disconnect(cid)
+    def _check_still_parented(self):
+        if self.ref_artist.get_figure(root=False) is None:
+            self.disconnect()
+            return False
+        else:
+            return True
 
-    def artist_picker(self, artist, evt):
-        return self.ref_artist.contains(evt)
+    def disconnect(self):
+        """Disconnect the callbacks."""
+        for disconnector in self._disconnectors:
+            disconnector()
 
     def save_offset(self):
         pass
@@ -1643,14 +1575,13 @@ def finalize_offset(self):
 
 class DraggableOffsetBox(DraggableBase):
     def __init__(self, ref_artist, offsetbox, use_blit=False):
-        DraggableBase.__init__(self, ref_artist, use_blit=use_blit)
+        super().__init__(ref_artist, use_blit=use_blit)
         self.offsetbox = offsetbox
 
     def save_offset(self):
         offsetbox = self.offsetbox
-        renderer = offsetbox.figure._cachedRenderer
-        w, h, xd, yd = offsetbox.get_extent(renderer)
-        offset = offsetbox.get_offset(w, h, xd, yd, renderer)
+        renderer = offsetbox.get_figure(root=True)._get_renderer()
+        offset = offsetbox.get_offset(offsetbox.get_bbox(renderer), renderer)
         self.offsetbox_x, self.offsetbox_y = offset
         self.offsetbox.set_offset(offset)
 
@@ -1659,86 +1590,24 @@ def update_offset(self, dx, dy):
         self.offsetbox.set_offset(loc_in_canvas)
 
     def get_loc_in_canvas(self):
-
         offsetbox = self.offsetbox
-        renderer = offsetbox.figure._cachedRenderer
-        w, h, xd, yd = offsetbox.get_extent(renderer)
+        renderer = offsetbox.get_figure(root=True)._get_renderer()
+        bbox = offsetbox.get_bbox(renderer)
         ox, oy = offsetbox._offset
-        loc_in_canvas = (ox - xd, oy - yd)
-
+        loc_in_canvas = (ox + bbox.x0, oy + bbox.y0)
         return loc_in_canvas
 
 
 class DraggableAnnotation(DraggableBase):
     def __init__(self, annotation, use_blit=False):
-        DraggableBase.__init__(self, annotation, use_blit=use_blit)
+        super().__init__(annotation, use_blit=use_blit)
         self.annotation = annotation
 
     def save_offset(self):
         ann = self.annotation
-        x, y = ann.xyann
-        if isinstance(ann.anncoords, tuple):
-            xcoord, ycoord = ann.anncoords
-            x1, y1 = ann._get_xy(self.canvas.renderer, x, y, xcoord)
-            x2, y2 = ann._get_xy(self.canvas.renderer, x, y, ycoord)
-            ox0, oy0 = x1, y2
-        else:
-            ox0, oy0 = ann._get_xy(self.canvas.renderer, x, y, ann.anncoords)
-
-        self.ox, self.oy = ox0, oy0
-        self.annotation.anncoords = "figure pixels"
-        self.update_offset(0, 0)
+        self.ox, self.oy = ann.get_transform().transform(ann.xyann)
 
     def update_offset(self, dx, dy):
         ann = self.annotation
-        ann.xyann = self.ox + dx, self.oy + dy
-        x, y = ann.xyann
-
-    def finalize_offset(self):
-        loc_in_canvas = self.annotation.xyann
-        self.annotation.anncoords = "axes fraction"
-        pos_axes_fraction = self.annotation.axes.transAxes.inverted()
-        pos_axes_fraction = pos_axes_fraction.transform_point(loc_in_canvas)
-        self.annotation.xyann = tuple(pos_axes_fraction)
-
-
-if __name__ == "__main__":
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1)
-    fig.clf()
-    ax = plt.subplot(121)
-
-    #txt = ax.text(0.5, 0.5, "Test", size=30, ha="center", color="w")
-    kwargs = dict()
-
-    a = np.arange(256).reshape(16, 16) / 256.
-    myimage = OffsetImage(a,
-                          zoom=2,
-                          norm=None,
-                          origin=None,
-                          **kwargs
-                          )
-    ax.add_artist(myimage)
-
-    myimage.set_offset((100, 100))
-
-    myimage2 = OffsetImage(a,
-                           zoom=2,
-                           norm=None,
-                           origin=None,
-                           **kwargs
-                           )
-    ann = AnnotationBbox(myimage2, (0.5, 0.5),
-                         xybox=(30, 30),
-                         xycoords='data',
-                         boxcoords="offset points",
-                         frameon=True, pad=0.4,  # BboxPatch
-                         bboxprops=dict(boxstyle="round", fc="y"),
-                         fontsize=None,
-                         arrowprops=dict(arrowstyle="->"),
-                         )
-
-    ax.add_artist(ann)
-
-    plt.draw()
-    plt.show()
+        ann.xyann = ann.get_transform().inverted().transform(
+            (self.ox + dx, self.oy + dy))
diff --git a/lib/matplotlib/offsetbox.pyi b/lib/matplotlib/offsetbox.pyi
new file mode 100644
index 000000000000..8a2016c0320a
--- /dev/null
+++ b/lib/matplotlib/offsetbox.pyi
@@ -0,0 +1,298 @@
+import matplotlib.artist as martist
+from matplotlib.backend_bases import RendererBase, Event, FigureCanvasBase
+from matplotlib.colors import Colormap, Normalize
+import matplotlib.text as mtext
+from matplotlib.figure import Figure, SubFigure
+from matplotlib.font_manager import FontProperties
+from matplotlib.image import BboxImage
+from matplotlib.patches import FancyArrowPatch, FancyBboxPatch
+from matplotlib.transforms import Bbox, BboxBase, Transform
+from matplotlib.typing import CoordsType
+
+import numpy as np
+from numpy.typing import ArrayLike
+from collections.abc import Callable, Sequence
+from typing import Any, Literal, overload
+
+DEBUG: bool
+
+def _get_packed_offsets(
+    widths: Sequence[float],
+    total: float | None,
+    sep: float | None,
+    mode: Literal["fixed", "expand", "equal"] = ...,
+) -> tuple[float, np.ndarray]: ...
+
+class OffsetBox(martist.Artist):
+    width: float | None
+    height: float | None
+    def __init__(self, **kwargs) -> None: ...
+    def set_figure(self, fig: Figure | SubFigure) -> None: ...
+    def set_offset(
+        self,
+        xy: tuple[float, float]
+        | Callable[[float, float, float, float, RendererBase], tuple[float, float]],
+    ) -> None: ...
+
+    @overload
+    def get_offset(self, bbox: Bbox, renderer: RendererBase) -> tuple[float, float]: ...
+    @overload
+    def get_offset(
+        self,
+        width: float,
+        height: float,
+        xdescent: float,
+        ydescent: float,
+        renderer: RendererBase
+    ) -> tuple[float, float]: ...
+
+    def set_width(self, width: float) -> None: ...
+    def set_height(self, height: float) -> None: ...
+    def get_visible_children(self) -> list[martist.Artist]: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    def get_bbox(self, renderer: RendererBase) -> Bbox: ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
+
+class PackerBase(OffsetBox):
+    height: float | None
+    width: float | None
+    sep: float | None
+    pad: float | None
+    mode: Literal["fixed", "expand", "equal"]
+    align: Literal["top", "bottom", "left", "right", "center", "baseline"]
+    def __init__(
+        self,
+        pad: float | None = ...,
+        sep: float | None = ...,
+        width: float | None = ...,
+        height: float | None = ...,
+        align: Literal["top", "bottom", "left", "right", "center", "baseline"] = ...,
+        mode: Literal["fixed", "expand", "equal"] = ...,
+        children: list[martist.Artist] | None = ...,
+    ) -> None: ...
+
+class VPacker(PackerBase): ...
+class HPacker(PackerBase): ...
+
+class PaddedBox(OffsetBox):
+    pad: float | None
+    patch: FancyBboxPatch
+    def __init__(
+        self,
+        child: martist.Artist,
+        pad: float | None = ...,
+        *,
+        draw_frame: bool = ...,
+        patch_attrs: dict[str, Any] | None = ...,
+    ) -> None: ...
+    def update_frame(self, bbox: Bbox, fontsize: float | None = ...) -> None: ...
+    def draw_frame(self, renderer: RendererBase) -> None: ...
+
+class DrawingArea(OffsetBox):
+    width: float
+    height: float
+    xdescent: float
+    ydescent: float
+    offset_transform: Transform
+    dpi_transform: Transform
+    def __init__(
+        self,
+        width: float,
+        height: float,
+        xdescent: float = ...,
+        ydescent: float = ...,
+        clip: bool = ...,
+    ) -> None: ...
+    @property
+    def clip_children(self) -> bool: ...
+    @clip_children.setter
+    def clip_children(self, val: bool) -> None: ...
+    def get_transform(self) -> Transform: ...
+
+    # does not accept all options of superclass
+    def set_offset(self, xy: tuple[float, float]) -> None: ...  # type: ignore[override]
+    def get_offset(self) -> tuple[float, float]: ...  # type: ignore[override]
+    def add_artist(self, a: martist.Artist) -> None: ...
+
+class TextArea(OffsetBox):
+    offset_transform: Transform
+    def __init__(
+        self,
+        s: str,
+        *,
+        textprops: dict[str, Any] | None = ...,
+        multilinebaseline: bool = ...,
+    ) -> None: ...
+    def set_text(self, s: str) -> None: ...
+    def get_text(self) -> str: ...
+    def set_multilinebaseline(self, t: bool) -> None: ...
+    def get_multilinebaseline(self) -> bool: ...
+
+    # does not accept all options of superclass
+    def set_offset(self, xy: tuple[float, float]) -> None: ...  # type: ignore[override]
+    def get_offset(self) -> tuple[float, float]: ...  # type: ignore[override]
+
+class AuxTransformBox(OffsetBox):
+    aux_transform: Transform
+    offset_transform: Transform
+    ref_offset_transform: Transform
+    def __init__(self, aux_transform: Transform) -> None: ...
+    def add_artist(self, a: martist.Artist) -> None: ...
+    def get_transform(self) -> Transform: ...
+
+    # does not accept all options of superclass
+    def set_offset(self, xy: tuple[float, float]) -> None: ...  # type: ignore[override]
+    def get_offset(self) -> tuple[float, float]: ...  # type: ignore[override]
+
+class AnchoredOffsetbox(OffsetBox):
+    zorder: float
+    codes: dict[str, int]
+    loc: int
+    borderpad: float
+    pad: float
+    prop: FontProperties
+    patch: FancyBboxPatch
+    def __init__(
+        self,
+        loc: str,
+        *,
+        pad: float = ...,
+        borderpad: float = ...,
+        child: OffsetBox | None = ...,
+        prop: FontProperties | None = ...,
+        frameon: bool = ...,
+        bbox_to_anchor: BboxBase
+        | tuple[float, float]
+        | tuple[float, float, float, float]
+        | None = ...,
+        bbox_transform: Transform | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_child(self, child: OffsetBox | None) -> None: ...
+    def get_child(self) -> OffsetBox | None: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    def get_bbox_to_anchor(self) -> Bbox: ...
+    def set_bbox_to_anchor(
+        self, bbox: BboxBase, transform: Transform | None = ...
+    ) -> None: ...
+    def update_frame(self, bbox: Bbox, fontsize: float | None = ...) -> None: ...
+
+class AnchoredText(AnchoredOffsetbox):
+    txt: TextArea
+    def __init__(
+        self,
+        s: str,
+        loc: str,
+        *,
+        pad: float = ...,
+        borderpad: float = ...,
+        prop: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> None: ...
+
+class OffsetImage(OffsetBox):
+    image: BboxImage
+    def __init__(
+        self,
+        arr: ArrayLike,
+        *,
+        zoom: float = ...,
+        cmap: Colormap | str | None = ...,
+        norm: Normalize | str | None = ...,
+        interpolation: str | None = ...,
+        origin: Literal["upper", "lower"] | None = ...,
+        filternorm: bool = ...,
+        filterrad: float = ...,
+        resample: bool = ...,
+        dpi_cor: bool = ...,
+        **kwargs
+    ) -> None: ...
+    stale: bool
+    def set_data(self, arr: ArrayLike | None) -> None: ...
+    def get_data(self) -> ArrayLike | None: ...
+    def set_zoom(self, zoom: float) -> None: ...
+    def get_zoom(self) -> float: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    def get_offset(self) -> tuple[float, float]: ...  # type: ignore[override]
+
+class AnnotationBbox(martist.Artist, mtext._AnnotationBase):
+    zorder: float
+    offsetbox: OffsetBox
+    arrowprops: dict[str, Any] | None
+    xybox: tuple[float, float]
+    boxcoords: CoordsType
+    arrow_patch: FancyArrowPatch | None
+    patch: FancyBboxPatch
+    prop: FontProperties
+    def __init__(
+        self,
+        offsetbox: OffsetBox,
+        xy: tuple[float, float],
+        xybox: tuple[float, float] | None = ...,
+        xycoords: CoordsType = ...,
+        boxcoords: CoordsType | None = ...,
+        *,
+        frameon: bool = ...,
+        pad: float = ...,
+        annotation_clip: bool | None = ...,
+        box_alignment: tuple[float, float] = ...,
+        bboxprops: dict[str, Any] | None = ...,
+        arrowprops: dict[str, Any] | None = ...,
+        fontsize: float | str | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def xyann(self) -> tuple[float, float]: ...
+    @xyann.setter
+    def xyann(self, xyann: tuple[float, float]) -> None: ...
+    @property
+    def anncoords(
+        self,
+    ) -> CoordsType: ...
+    @anncoords.setter
+    def anncoords(
+        self,
+        coords: CoordsType,
+    ) -> None: ...
+    def get_children(self) -> list[martist.Artist]: ...
+    def set_figure(self, fig: Figure | SubFigure) -> None: ...
+    def set_fontsize(self, s: str | float | None = ...) -> None: ...
+    def get_fontsize(self) -> float: ...
+    def get_tightbbox(self, renderer: RendererBase | None = ...) -> Bbox: ...
+    def update_positions(self, renderer: RendererBase) -> None: ...
+
+class DraggableBase:
+    ref_artist: martist.Artist
+    got_artist: bool
+    mouse_x: int
+    mouse_y: int
+    background: Any
+
+    @property
+    def canvas(self) -> FigureCanvasBase: ...
+    @property
+    def cids(self) -> list[int]: ...
+
+    def __init__(self, ref_artist: martist.Artist, use_blit: bool = ...) -> None: ...
+    def on_motion(self, evt: Event) -> None: ...
+    def on_pick(self, evt: Event) -> None: ...
+    def on_release(self, event: Event) -> None: ...
+    def disconnect(self) -> None: ...
+    def save_offset(self) -> None: ...
+    def update_offset(self, dx: float, dy: float) -> None: ...
+    def finalize_offset(self) -> None: ...
+
+class DraggableOffsetBox(DraggableBase):
+    offsetbox: OffsetBox
+    def __init__(
+        self, ref_artist: martist.Artist, offsetbox: OffsetBox, use_blit: bool = ...
+    ) -> None: ...
+    def save_offset(self) -> None: ...
+    def update_offset(self, dx: float, dy: float) -> None: ...
+    def get_loc_in_canvas(self) -> tuple[float, float]: ...
+
+class DraggableAnnotation(DraggableBase):
+    annotation: mtext.Annotation
+    def __init__(self, annotation: mtext.Annotation, use_blit: bool = ...) -> None: ...
+    def save_offset(self) -> None: ...
+    def update_offset(self, dx: float, dy: float) -> None: ...
diff --git a/lib/matplotlib/patches.py b/lib/matplotlib/patches.py
index 339f111c2a2f..63453d416b99 100644
--- a/lib/matplotlib/patches.py
+++ b/lib/matplotlib/patches.py
@@ -1,55 +1,37 @@
-# -*- coding: utf-8 -*-
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import map, zip
+r"""
+Patches are `.Artist`\s with a face color and an edge color.
+"""
 
+import functools
+import inspect
 import math
+from numbers import Number, Real
+import textwrap
+from types import SimpleNamespace
+from collections import namedtuple
+from matplotlib.transforms import Affine2D
 
-import matplotlib as mpl
 import numpy as np
-import matplotlib.cbook as cbook
-import matplotlib.artist as artist
-from matplotlib.artist import allow_rasterization
-import matplotlib.colors as colors
-from matplotlib import docstring
-import matplotlib.transforms as transforms
-from matplotlib.path import Path
-from matplotlib.cbook import mplDeprecation
-
-# these are not available for the object inspector until after the
-# class is built so we define an initial set here for the init
-# function and they will be overridden after object definition
-docstring.interpd.update(Patch="""
-
-          =================   ==============================================
-          Property            Description
-          =================   ==============================================
-          alpha               float
-          animated            [True | False]
-          antialiased or aa   [True | False]
-          capstyle            ['butt' | 'round' | 'projecting']
-          clip_box            a matplotlib.transform.Bbox instance
-          clip_on             [True | False]
-          edgecolor or ec     any matplotlib color
-          facecolor or fc     any matplotlib color
-          figure              a matplotlib.figure.Figure instance
-          fill                [True | False]
-          hatch               unknown
-          joinstyle           ['miter' | 'round' | 'bevel']
-          label               any string
-          linewidth or lw     float
-          lod                 [True | False]
-          transform           a matplotlib.transform transformation instance
-          visible             [True | False]
-          zorder              any number
-          =================   ==============================================
-
-          """)
-
 
+import matplotlib as mpl
+from . import (_api, artist, cbook, colors, _docstring, hatch as mhatch,
+               lines as mlines, transforms)
+from .bezier import (
+    NonIntersectingPathException, get_cos_sin, get_intersection,
+    get_parallels, inside_circle, make_wedged_bezier2,
+    split_bezier_intersecting_with_closedpath, split_path_inout)
+from .path import Path
+from ._enums import JoinStyle, CapStyle
+
+
+@_docstring.interpd
+@_api.define_aliases({
+    "antialiased": ["aa"],
+    "edgecolor": ["ec"],
+    "facecolor": ["fc"],
+    "linestyle": ["ls"],
+    "linewidth": ["lw"],
+})
 class Patch(artist.Artist):
     """
     A patch is a 2D artist with a face color and an edge color.
@@ -58,13 +40,12 @@ class Patch(artist.Artist):
     are *None*, they default to their rc params setting.
     """
     zorder = 1
-    validCap = ('butt', 'round', 'projecting')
-    validJoin = ('miter', 'round', 'bevel')
 
-    def __str__(self):
-        return str(self.__class__).split('.')[-1]
+    # Whether to draw an edge by default.  Set on a
+    # subclass-by-subclass basis.
+    _edge_default = False
 
-    def __init__(self,
+    def __init__(self, *,
                  edgecolor=None,
                  facecolor=None,
                  color=None,
@@ -75,55 +56,55 @@ def __init__(self,
                  fill=True,
                  capstyle=None,
                  joinstyle=None,
+                 hatchcolor=None,
                  **kwargs):
         """
         The following kwarg properties are supported
 
-        %(Patch)s
+        %(Patch:kwdoc)s
         """
-        artist.Artist.__init__(self)
+        super().__init__()
 
-        if linewidth is None:
-            linewidth = mpl.rcParams['patch.linewidth']
         if linestyle is None:
             linestyle = "solid"
         if capstyle is None:
-            capstyle = 'butt'
+            capstyle = CapStyle.butt
         if joinstyle is None:
-            joinstyle = 'miter'
-        if antialiased is None:
-            antialiased = mpl.rcParams['patch.antialiased']
+            joinstyle = JoinStyle.miter
 
-        self._fill = True  # needed for set_facecolor call
+        self._hatch_linewidth = mpl.rcParams['hatch.linewidth']
+        self._fill = bool(fill)  # needed for set_facecolor call
         if color is not None:
-            if (edgecolor is not None or
-                facecolor is not None):
-                import warnings
-                warnings.warn("Setting the 'color' property will override"
-                              "the edgecolor or facecolor properties. ")
+            if edgecolor is not None or facecolor is not None:
+                _api.warn_external(
+                    "Setting the 'color' property will override "
+                    "the edgecolor or facecolor properties.")
             self.set_color(color)
         else:
             self.set_edgecolor(edgecolor)
+            self.set_hatchcolor(hatchcolor)
             self.set_facecolor(facecolor)
-        self.set_linewidth(linewidth)
+
+        self._linewidth = 0
+        self._unscaled_dash_pattern = (0, None)  # offset, dash
+        self._dash_pattern = (0, None)  # offset, dash (scaled by linewidth)
+
         self.set_linestyle(linestyle)
+        self.set_linewidth(linewidth)
         self.set_antialiased(antialiased)
         self.set_hatch(hatch)
-        self.set_fill(fill)
         self.set_capstyle(capstyle)
         self.set_joinstyle(joinstyle)
-        self._combined_transform = transforms.IdentityTransform()
 
         if len(kwargs):
-            self.update(kwargs)
+            self._internal_update(kwargs)
 
     def get_verts(self):
         """
-        Return a copy of the vertices used in this patch
+        Return a copy of the vertices used in this patch.
 
-        If the patch contains Bezier curves, the curves will be
-        interpolated by line segments.  To access the curves as
-        curves, use :meth:`get_path`.
+        If the patch contains Bézier curves, the curves will be interpolated by
+        line segments.  To access the curves as curves, use `get_path`.
         """
         trans = self.get_transform()
         path = self.get_path()
@@ -132,74 +113,214 @@ def get_verts(self):
             return polygons[0]
         return []
 
+    def _process_radius(self, radius):
+        if radius is not None:
+            return radius
+        if isinstance(self._picker, Number):
+            _radius = self._picker
+        else:
+            if self.get_edgecolor()[3] == 0:
+                _radius = 0
+            else:
+                _radius = self.get_linewidth()
+        return _radius
+
     def contains(self, mouseevent, radius=None):
-        """Test whether the mouse event occurred in the patch.
-
-        Returns T/F, {}
-        """
-        # This is a general version of contains that should work on any
-        # patch with a path.  However, patches that have a faster
-        # algebraic solution to hit-testing should override this
-        # method.
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-        if radius is None:
-            radius = self.get_linewidth()
-        inside = self.get_path().contains_point(
-            (mouseevent.x, mouseevent.y), self.get_transform(), radius)
+        """
+        Test whether the mouse event occurred in the patch.
+
+        Parameters
+        ----------
+        mouseevent : `~matplotlib.backend_bases.MouseEvent`
+            Where the user clicked.
+
+        radius : float, optional
+            Additional margin on the patch in target coordinates of
+            `.Patch.get_transform`. See `.Path.contains_point` for further
+            details.
+
+            If `None`, the default value depends on the state of the object:
+
+            - If `.Artist.get_picker` is a number, the default
+              is that value.  This is so that picking works as expected.
+            - Otherwise if the edge color has a non-zero alpha, the default
+              is half of the linewidth.  This is so that all the colored
+              pixels are "in" the patch.
+            - Finally, if the edge has 0 alpha, the default is 0.  This is
+              so that patches without a stroked edge do not have points
+              outside of the filled region report as "in" due to an
+              invisible edge.
+
+
+        Returns
+        -------
+        (bool, empty dict)
+        """
+        if self._different_canvas(mouseevent):
+            return False, {}
+        radius = self._process_radius(radius)
+        codes = self.get_path().codes
+        if codes is not None:
+            vertices = self.get_path().vertices
+            # if the current path is concatenated by multiple sub paths.
+            # get the indexes of the starting code(MOVETO) of all sub paths
+            idxs, = np.where(codes == Path.MOVETO)
+            # Don't split before the first MOVETO.
+            idxs = idxs[1:]
+            subpaths = map(
+                Path, np.split(vertices, idxs), np.split(codes, idxs))
+        else:
+            subpaths = [self.get_path()]
+        inside = any(
+            subpath.contains_point(
+                (mouseevent.x, mouseevent.y), self.get_transform(), radius)
+            for subpath in subpaths)
         return inside, {}
 
     def contains_point(self, point, radius=None):
         """
-        Returns *True* if the given point is inside the path
-        (transformed with its transform attribute).
-        """
-        if radius is None:
-            radius = self.get_linewidth()
+        Return whether the given point is inside the patch.
+
+        Parameters
+        ----------
+        point : (float, float)
+            The point (x, y) to check, in target coordinates of
+            ``.Patch.get_transform()``. These are display coordinates for patches
+            that are added to a figure or Axes.
+        radius : float, optional
+            Additional margin on the patch in target coordinates of
+            `.Patch.get_transform`. See `.Path.contains_point` for further
+            details.
+
+            If `None`, the default value depends on the state of the object:
+
+            - If `.Artist.get_picker` is a number, the default
+              is that value.  This is so that picking works as expected.
+            - Otherwise if the edge color has a non-zero alpha, the default
+              is half of the linewidth.  This is so that all the colored
+              pixels are "in" the patch.
+            - Finally, if the edge has 0 alpha, the default is 0.  This is
+              so that patches without a stroked edge do not have points
+              outside of the filled region report as "in" due to an
+              invisible edge.
+
+        Returns
+        -------
+        bool
+
+        Notes
+        -----
+        The proper use of this method depends on the transform of the patch.
+        Isolated patches do not have a transform. In this case, the patch
+        creation coordinates and the point coordinates match. The following
+        example checks that the center of a circle is within the circle
+
+        >>> center = 0, 0
+        >>> c = Circle(center, radius=1)
+        >>> c.contains_point(center)
+        True
+
+        The convention of checking against the transformed patch stems from
+        the fact that this method is predominantly used to check if display
+        coordinates (e.g. from mouse events) are within the patch. If you want
+        to do the above check with data coordinates, you have to properly
+        transform them first:
+
+        >>> center = 0, 0
+        >>> c = Circle(center, radius=3)
+        >>> plt.gca().add_patch(c)
+        >>> transformed_interior_point = c.get_data_transform().transform((0, 2))
+        >>> c.contains_point(transformed_interior_point)
+        True
+
+        """
+        radius = self._process_radius(radius)
         return self.get_path().contains_point(point,
                                               self.get_transform(),
                                               radius)
 
-    def update_from(self, other):
+    def contains_points(self, points, radius=None):
         """
-        Updates this :class:`Patch` from the properties of *other*.
+        Return whether the given points are inside the patch.
+
+        Parameters
+        ----------
+        points : (N, 2) array
+            The points to check, in target coordinates of
+            ``self.get_transform()``. These are display coordinates for patches
+            that are added to a figure or Axes. Columns contain x and y values.
+        radius : float, optional
+            Additional margin on the patch in target coordinates of
+            `.Patch.get_transform`. See `.Path.contains_point` for further
+            details.
+
+            If `None`, the default value depends on the state of the object:
+
+            - If `.Artist.get_picker` is a number, the default
+              is that value.  This is so that picking works as expected.
+            - Otherwise if the edge color has a non-zero alpha, the default
+              is half of the linewidth.  This is so that all the colored
+              pixels are "in" the patch.
+            - Finally, if the edge has 0 alpha, the default is 0.  This is
+              so that patches without a stroked edge do not have points
+              outside of the filled region report as "in" due to an
+              invisible edge.
+
+        Returns
+        -------
+        length-N bool array
+
+        Notes
+        -----
+        The proper use of this method depends on the transform of the patch.
+        See the notes on `.Patch.contains_point`.
         """
-        artist.Artist.update_from(self, other)
-        self.set_edgecolor(other.get_edgecolor())
-        self.set_facecolor(other.get_facecolor())
-        self.set_fill(other.get_fill())
-        self.set_hatch(other.get_hatch())
-        self.set_linewidth(other.get_linewidth())
-        self.set_linestyle(other.get_linestyle())
+        radius = self._process_radius(radius)
+        return self.get_path().contains_points(points,
+                                               self.get_transform(),
+                                               radius)
+
+    def update_from(self, other):
+        # docstring inherited.
+        super().update_from(other)
+        # For some properties we don't need or don't want to go through the
+        # getters/setters, so we just copy them directly.
+        self._edgecolor = other._edgecolor
+        self._facecolor = other._facecolor
+        self._original_edgecolor = other._original_edgecolor
+        self._original_facecolor = other._original_facecolor
+        self._fill = other._fill
+        self._hatch = other._hatch
+        self._hatch_color = other._hatch_color
+        self._original_hatchcolor = other._original_hatchcolor
+        self._unscaled_dash_pattern = other._unscaled_dash_pattern
+        self.set_linewidth(other._linewidth)  # also sets scaled dashes
         self.set_transform(other.get_data_transform())
-        self.set_figure(other.get_figure())
-        self.set_alpha(other.get_alpha())
+        # If the transform of other needs further initialization, then it will
+        # be the case for this artist too.
+        self._transformSet = other.is_transform_set()
 
     def get_extents(self):
         """
-        Return a :class:`~matplotlib.transforms.Bbox` object defining
-        the axis-aligned extents of the :class:`Patch`.
+        Return the `Patch`'s axis-aligned extents as a `~.transforms.Bbox`.
         """
         return self.get_path().get_extents(self.get_transform())
 
     def get_transform(self):
-        """
-        Return the :class:`~matplotlib.transforms.Transform` applied
-        to the :class:`Patch`.
-        """
+        """Return the `~.transforms.Transform` applied to the `Patch`."""
         return self.get_patch_transform() + artist.Artist.get_transform(self)
 
     def get_data_transform(self):
         """
-        Return the :class:`~matplotlib.transforms.Transform` instance which
-        maps data coordinates to physical coordinates.
+        Return the `~.transforms.Transform` mapping data coordinates to
+        physical coordinates.
         """
         return artist.Artist.get_transform(self)
 
     def get_patch_transform(self):
         """
-        Return the :class:`~matplotlib.transforms.Transform` instance which
-        takes patch coordinates to data coordinates.
+        Return the `~.transforms.Transform` instance mapping patch coordinates
+        to data coordinates.
 
         For example, one may define a patch of a circle which represents a
         radius of 5 by providing coordinates for a unit circle, and a
@@ -208,158 +329,191 @@ def get_patch_transform(self):
         return transforms.IdentityTransform()
 
     def get_antialiased(self):
-        """
-        Returns True if the :class:`Patch` is to be drawn with antialiasing.
-        """
+        """Return whether antialiasing is used for drawing."""
         return self._antialiased
-    get_aa = get_antialiased
 
     def get_edgecolor(self):
-        """
-        Return the edge color of the :class:`Patch`.
-        """
+        """Return the edge color."""
         return self._edgecolor
-    get_ec = get_edgecolor
 
     def get_facecolor(self):
-        """
-        Return the face color of the :class:`Patch`.
-        """
+        """Return the face color."""
         return self._facecolor
-    get_fc = get_facecolor
+
+    def get_hatchcolor(self):
+        """Return the hatch color."""
+        if self._hatch_color == 'edge':
+            if self._edgecolor[3] == 0:  # fully transparent
+                return colors.to_rgba(mpl.rcParams['patch.edgecolor'])
+            return self.get_edgecolor()
+        return self._hatch_color
 
     def get_linewidth(self):
-        """
-        Return the line width in points.
-        """
+        """Return the line width in points."""
         return self._linewidth
-    get_lw = get_linewidth
 
     def get_linestyle(self):
-        """
-        Return the linestyle.  Will be one of ['solid' | 'dashed' |
-        'dashdot' | 'dotted']
-        """
+        """Return the linestyle."""
         return self._linestyle
-    get_ls = get_linestyle
 
     def set_antialiased(self, aa):
         """
-        Set whether to use antialiased rendering
+        Set whether to use antialiased rendering.
 
-        ACCEPTS: [True | False]  or None for default
+        Parameters
+        ----------
+        aa : bool or None
         """
-        if aa is None:
-            aa = mpl.rcParams['patch.antialiased']
-        self._antialiased = aa
+        self._antialiased = mpl._val_or_rc(aa, 'patch.antialiased')
+        self.stale = True
+
+    def _set_edgecolor(self, color):
+        if color is None:
+            if (mpl.rcParams['patch.force_edgecolor'] or
+                    not self._fill or self._edge_default):
+                color = mpl.rcParams['patch.edgecolor']
+            else:
+                color = 'none'
 
-    def set_aa(self, aa):
-        """alias for set_antialiased"""
-        return self.set_antialiased(aa)
+        self._edgecolor = colors.to_rgba(color, self._alpha)
+        self.stale = True
 
     def set_edgecolor(self, color):
         """
-        Set the patch edge color
+        Set the patch edge color.
 
-        ACCEPTS: mpl color spec, or None for default, or 'none' for no color
+        Parameters
+        ----------
+        color : :mpltype:`color` or None
         """
-        if color is None:
-            color = mpl.rcParams['patch.edgecolor']
         self._original_edgecolor = color
-        self._edgecolor = colors.colorConverter.to_rgba(color, self._alpha)
+        self._set_edgecolor(color)
 
-    def set_ec(self, color):
-        """alias for set_edgecolor"""
-        return self.set_edgecolor(color)
+    def _set_facecolor(self, color):
+        color = mpl._val_or_rc(color, 'patch.facecolor')
+        alpha = self._alpha if self._fill else 0
+        self._facecolor = colors.to_rgba(color, alpha)
+        self.stale = True
 
     def set_facecolor(self, color):
         """
-        Set the patch face color
+        Set the patch face color.
 
-        ACCEPTS: mpl color spec, or None for default, or 'none' for no color
+        Parameters
+        ----------
+        color : :mpltype:`color` or None
         """
-        if color is None:
-            color = mpl.rcParams['patch.facecolor']
-        self._original_facecolor = color  # save: otherwise changing _fill
-                                          # may lose alpha information
-        self._facecolor = colors.colorConverter.to_rgba(color, self._alpha)
-        if not self._fill:
-            self._facecolor = list(self._facecolor)
-            self._facecolor[3] = 0
-
-    def set_fc(self, color):
-        """alias for set_facecolor"""
-        return self.set_facecolor(color)
+        self._original_facecolor = color
+        self._set_facecolor(color)
 
     def set_color(self, c):
         """
         Set both the edgecolor and the facecolor.
 
-        ACCEPTS: matplotlib color spec
-
-        .. seealso::
+        Parameters
+        ----------
+        c : :mpltype:`color`
 
-            :meth:`set_facecolor`, :meth:`set_edgecolor`
-               For setting the edge or face color individually.
+        See Also
+        --------
+        Patch.set_facecolor, Patch.set_edgecolor
+            For setting the edge or face color individually.
         """
-        self.set_facecolor(c)
         self.set_edgecolor(c)
+        self.set_hatchcolor(c)
+        self.set_facecolor(c)
 
-    def set_alpha(self, alpha):
+    def _set_hatchcolor(self, color):
+        color = mpl._val_or_rc(color, 'hatch.color')
+        if cbook._str_equal(color, 'edge'):
+            self._hatch_color = 'edge'
+        else:
+            self._hatch_color = colors.to_rgba(color, self._alpha)
+        self.stale = True
+
+    def set_hatchcolor(self, color):
         """
-        Set the alpha tranparency of the patch.
+        Set the patch hatch color.
 
-        ACCEPTS: float or None
+        Parameters
+        ----------
+        color : :mpltype:`color` or 'edge' or None
         """
-        if alpha is not None:
-            try:
-                float(alpha)
-            except TypeError:
-                raise TypeError('alpha must be a float or None')
-        artist.Artist.set_alpha(self, alpha)
-        self.set_facecolor(self._original_facecolor)  # using self._fill and
-                                                      # self._alpha
-        self.set_edgecolor(self._original_edgecolor)
+        self._original_hatchcolor = color
+        self._set_hatchcolor(color)
+
+    def set_alpha(self, alpha):
+        # docstring inherited
+        super().set_alpha(alpha)
+        self._set_facecolor(self._original_facecolor)
+        self._set_edgecolor(self._original_edgecolor)
+        self._set_hatchcolor(self._original_hatchcolor)
+        # stale is already True
 
     def set_linewidth(self, w):
         """
-        Set the patch linewidth in points
+        Set the patch linewidth in points.
 
-        ACCEPTS: float or None for default
+        Parameters
+        ----------
+        w : float or None
         """
-        if w is None:
-            w = mpl.rcParams['patch.linewidth']
-        self._linewidth = w
-
-    def set_lw(self, lw):
-        """alias for set_linewidth"""
-        return self.set_linewidth(lw)
+        w = mpl._val_or_rc(w, 'patch.linewidth')
+        self._linewidth = float(w)
+        self._dash_pattern = mlines._scale_dashes(*self._unscaled_dash_pattern, w)
+        self.stale = True
 
     def set_linestyle(self, ls):
         """
-        Set the patch linestyle
+        Set the patch linestyle.
+
+        =======================================================  ================
+        linestyle                                                description
+        =======================================================  ================
+        ``'-'`` or ``'solid'``                                   solid line
+        ``'--'`` or ``'dashed'``                                 dashed line
+        ``'-.'`` or ``'dashdot'``                                dash-dotted line
+        ``':'`` or ``'dotted'``                                  dotted line
+        ``''`` or ``'none'`` (discouraged: ``'None'``, ``' '``)  draw nothing
+        =======================================================  ================
+
+        Alternatively a dash tuple of the following form can be provided::
+
+            (offset, onoffseq)
+
+        where ``onoffseq`` is an even length tuple of on and off ink in points.
 
-        ACCEPTS: ['solid' | 'dashed' | 'dashdot' | 'dotted']
+        Parameters
+        ----------
+        ls : {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
+            The line style.
         """
         if ls is None:
             ls = "solid"
+        if ls in [' ', '', 'none']:
+            ls = 'None'
         self._linestyle = ls
-
-    def set_ls(self, ls):
-        """alias for set_linestyle"""
-        return self.set_linestyle(ls)
+        self._unscaled_dash_pattern = mlines._get_dash_pattern(ls)
+        self._dash_pattern = mlines._scale_dashes(
+            *self._unscaled_dash_pattern, self._linewidth)
+        self.stale = True
 
     def set_fill(self, b):
         """
-        Set whether to fill the patch
+        Set whether to fill the patch.
 
-        ACCEPTS: [True | False]
+        Parameters
+        ----------
+        b : bool
         """
         self._fill = bool(b)
-        self.set_facecolor(self._original_facecolor)
+        self._set_facecolor(self._original_facecolor)
+        self._set_edgecolor(self._original_edgecolor)
+        self._set_hatchcolor(self._original_hatchcolor)
+        self.stale = True
 
     def get_fill(self):
-        'return whether fill is set'
+        """Return whether the patch is filled."""
         return self._fill
 
     # Make fill a property so as to preserve the long-standing
@@ -367,41 +521,49 @@ def get_fill(self):
     # attribute.
     fill = property(get_fill, set_fill)
 
+    @_docstring.interpd
     def set_capstyle(self, s):
         """
-        Set the patch capstyle
+        Set the `.CapStyle`.
+
+        The default capstyle is 'round' for `.FancyArrowPatch` and 'butt' for
+        all other patches.
 
-        ACCEPTS: ['butt' | 'round' | 'projecting']
+        Parameters
+        ----------
+        s : `.CapStyle` or %(CapStyle)s
         """
-        s = s.lower()
-        if s not in self.validCap:
-            raise ValueError('set_capstyle passed "%s";\n' % (s,)
-                             + 'valid capstyles are %s' % (self.validCap,))
-        self._capstyle = s
+        cs = CapStyle(s)
+        self._capstyle = cs
+        self.stale = True
 
     def get_capstyle(self):
-        "Return the current capstyle"
-        return self._capstyle
+        """Return the capstyle."""
+        return self._capstyle.name
 
+    @_docstring.interpd
     def set_joinstyle(self, s):
         """
-        Set the patch joinstyle
+        Set the `.JoinStyle`.
 
-        ACCEPTS: ['miter' | 'round' | 'bevel']
+        The default joinstyle is 'round' for `.FancyArrowPatch` and 'miter' for
+        all other patches.
+
+        Parameters
+        ----------
+        s : `.JoinStyle` or %(JoinStyle)s
         """
-        s = s.lower()
-        if s not in self.validJoin:
-            raise ValueError('set_joinstyle passed "%s";\n' % (s,)
-                             + 'valid joinstyles are %s' % (self.validJoin,))
-        self._joinstyle = s
+        js = JoinStyle(s)
+        self._joinstyle = js
+        self.stale = True
 
     def get_joinstyle(self):
-        "Return the current joinstyle"
-        return self._joinstyle
+        """Return the joinstyle."""
+        return self._joinstyle.name
 
     def set_hatch(self, hatch):
-        """
-        Set the hatching pattern
+        r"""
+        Set the hatching pattern.
 
         *hatch* can be one of::
 
@@ -420,22 +582,37 @@ def set_hatch(self, hatch):
         hatchings are done.  If same letter repeats, it increases the
         density of hatching of that pattern.
 
-        Hatching is supported in the PostScript, PDF, SVG and Agg
-        backends only.
-
-        ACCEPTS: ['/' | '\\\\' | '|' | '-' | '+' | 'x' | 'o' | 'O' | '.' | '*']
+        Parameters
+        ----------
+        hatch : {'/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}
         """
+        # Use validate_hatch(list) after deprecation.
+        mhatch._validate_hatch_pattern(hatch)
         self._hatch = hatch
+        self.stale = True
 
     def get_hatch(self):
-        'Return the current hatching pattern'
+        """Return the hatching pattern."""
         return self._hatch
 
-    @allow_rasterization
-    def draw(self, renderer):
-        'Draw the :class:`Patch` to the given *renderer*.'
-        if not self.get_visible():
-            return
+    def set_hatch_linewidth(self, lw):
+        """Set the hatch linewidth."""
+        self._hatch_linewidth = lw
+
+    def get_hatch_linewidth(self):
+        """Return the hatch linewidth."""
+        return self._hatch_linewidth
+
+    def _draw_paths_with_artist_properties(
+            self, renderer, draw_path_args_list):
+        """
+        ``draw()`` helper factored out for sharing with `FancyArrowPatch`.
+
+        Configure *renderer* and the associated graphics context *gc*
+        from the artist properties, then repeatedly call
+        ``renderer.draw_path(gc, *draw_path_args)`` for each tuple
+        *draw_path_args* in *draw_path_args_list*.
+        """
 
         renderer.open_group('patch', self.get_gid())
         gc = renderer.new_gc()
@@ -443,10 +620,10 @@ def draw(self, renderer):
         gc.set_foreground(self._edgecolor, isRGBA=True)
 
         lw = self._linewidth
-        if self._edgecolor[3] == 0:
+        if self._edgecolor[3] == 0 or self._linestyle == 'None':
             lw = 0
         gc.set_linewidth(lw)
-        gc.set_linestyle(self._linestyle)
+        gc.set_dashes(*self._dash_pattern)
         gc.set_capstyle(self._capstyle)
         gc.set_joinstyle(self._joinstyle)
 
@@ -455,107 +632,107 @@ def draw(self, renderer):
         gc.set_url(self._url)
         gc.set_snap(self.get_snap())
 
-        rgbFace = self._facecolor
-        if rgbFace[3] == 0:
-            rgbFace = None  # (some?) renderers expect this as no-fill signal
-
         gc.set_alpha(self._alpha)
 
         if self._hatch:
             gc.set_hatch(self._hatch)
+            gc.set_hatch_color(self.get_hatchcolor())
+            gc.set_hatch_linewidth(self._hatch_linewidth)
 
         if self.get_sketch_params() is not None:
             gc.set_sketch_params(*self.get_sketch_params())
 
-        path = self.get_path()
-        transform = self.get_transform()
-        tpath = transform.transform_path_non_affine(path)
-        affine = transform.get_affine()
-
         if self.get_path_effects():
             from matplotlib.patheffects import PathEffectRenderer
             renderer = PathEffectRenderer(self.get_path_effects(), renderer)
 
-        renderer.draw_path(gc, tpath, affine, rgbFace)
+        for draw_path_args in draw_path_args_list:
+            renderer.draw_path(gc, *draw_path_args)
 
         gc.restore()
         renderer.close_group('patch')
+        self.stale = False
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        # docstring inherited
+        if not self.get_visible():
+            return
+        path = self.get_path()
+        transform = self.get_transform()
+        tpath = transform.transform_path_non_affine(path)
+        affine = transform.get_affine()
+        self._draw_paths_with_artist_properties(
+            renderer,
+            [(tpath, affine,
+              # Work around a bug in the PDF and SVG renderers, which
+              # do not draw the hatches if the facecolor is fully
+              # transparent, but do if it is None.
+              self._facecolor if self._facecolor[3] else None)])
 
     def get_path(self):
-        """
-        Return the path of this patch
-        """
+        """Return the path of this patch."""
         raise NotImplementedError('Derived must override')
 
     def get_window_extent(self, renderer=None):
         return self.get_path().get_extents(self.get_transform())
 
-
-patchdoc = artist.kwdoc(Patch)
-for k in ('Rectangle', 'Circle', 'RegularPolygon', 'Polygon', 'Wedge', 'Arrow',
-          'FancyArrow', 'YAArrow', 'CirclePolygon', 'Ellipse', 'Arc',
-          'FancyBboxPatch', 'Patch'):
-    docstring.interpd.update({k: patchdoc})
-
-# define Patch.__init__ docstring after the class has been added to interpd
-docstring.dedent_interpd(Patch.__init__)
+    def _convert_xy_units(self, xy):
+        """Convert x and y units for a tuple (x, y)."""
+        x = self.convert_xunits(xy[0])
+        y = self.convert_yunits(xy[1])
+        return x, y
 
 
 class Shadow(Patch):
     def __str__(self):
-        return "Shadow(%s)" % (str(self.patch))
+        return f"Shadow({self.patch})"
 
-    @docstring.dedent_interpd
-    def __init__(self, patch, ox, oy, props=None, **kwargs):
+    @_docstring.interpd
+    def __init__(self, patch, ox, oy, *, shade=0.7, **kwargs):
         """
-        Create a shadow of the given *patch* offset by *ox*, *oy*.
-        *props*, if not *None*, is a patch property update dictionary.
-        If *None*, the shadow will have have the same color as the face,
-        but darkened.
+        Create a shadow of the given *patch*.
+
+        By default, the shadow will have the same face color as the *patch*,
+        but darkened. The darkness can be controlled by *shade*.
+
+        Parameters
+        ----------
+        patch : `~matplotlib.patches.Patch`
+            The patch to create the shadow for.
+        ox, oy : float
+            The shift of the shadow in data coordinates, scaled by a factor
+            of dpi/72.
+        shade : float, default: 0.7
+            How the darkness of the shadow relates to the original color. If 1, the
+            shadow is black, if 0, the shadow has the same color as the *patch*.
+
+            .. versionadded:: 3.8
 
-        kwargs are
-        %(Patch)s
+        **kwargs
+            Properties of the shadow patch. Supported keys are:
+
+            %(Patch:kwdoc)s
         """
-        Patch.__init__(self)
+        super().__init__()
         self.patch = patch
-        self.props = props
         self._ox, self._oy = ox, oy
         self._shadow_transform = transforms.Affine2D()
-        self._update()
 
-    def _update(self):
         self.update_from(self.patch)
-        if self.props is not None:
-            self.update(self.props)
-        else:
-            r, g, b, a = colors.colorConverter.to_rgba(
-                                self.patch.get_facecolor())
-            rho = 0.3
-            r = rho * r
-            g = rho * g
-            b = rho * b
-
-            self.set_facecolor((r, g, b, 0.5))
-            self.set_edgecolor((r, g, b, 0.5))
-            self.set_alpha(0.5)
+        if not 0 <= shade <= 1:
+            raise ValueError("shade must be between 0 and 1.")
+        color = (1 - shade) * np.asarray(colors.to_rgb(self.patch.get_facecolor()))
+        self.update({'facecolor': color, 'edgecolor': color, 'alpha': 0.5,
+                     # Place shadow patch directly behind the inherited patch.
+                     'zorder': np.nextafter(self.patch.zorder, -np.inf),
+                     **kwargs})
 
     def _update_transform(self, renderer):
         ox = renderer.points_to_pixels(self._ox)
         oy = renderer.points_to_pixels(self._oy)
         self._shadow_transform.clear().translate(ox, oy)
 
-    def _get_ox(self):
-        return self._ox
-
-    def _set_ox(self, ox):
-        self._ox = ox
-
-    def _get_oy(self):
-        return self._oy
-
-    def _set_oy(self, oy):
-        self._oy = oy
-
     def get_path(self):
         return self.patch.get_path()
 
@@ -564,398 +741,533 @@ def get_patch_transform(self):
 
     def draw(self, renderer):
         self._update_transform(renderer)
-        Patch.draw(self, renderer)
+        super().draw(renderer)
 
 
 class Rectangle(Patch):
     """
-    Draw a rectangle with lower left at *xy* = (*x*, *y*) with
-    specified *width* and *height*.
-    """
+    A rectangle defined via an anchor point *xy* and its *width* and *height*.
 
-    def __str__(self):
-        return self.__class__.__name__ \
-            + "(%g,%g;%gx%g)" % (self._x, self._y, self._width, self._height)
+    The rectangle extends from ``xy[0]`` to ``xy[0] + width`` in x-direction
+    and from ``xy[1]`` to ``xy[1] + height`` in y-direction. ::
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, width, height, angle=0.0, **kwargs):
-        """
+      :                +------------------+
+      :                |                  |
+      :              height               |
+      :                |                  |
+      :               (xy)---- width -----+
 
-        *angle*
-          rotation in degrees (anti-clockwise)
+    One may picture *xy* as the bottom left corner, but which corner *xy* is
+    actually depends on the direction of the axis and the sign of *width*
+    and *height*; e.g. *xy* would be the bottom right corner if the x-axis
+    was inverted or if *width* was negative.
+    """
 
-        *fill* is a boolean indicating whether to fill the rectangle
+    def __str__(self):
+        pars = self._x0, self._y0, self._width, self._height, self.angle
+        fmt = "Rectangle(xy=(%g, %g), width=%g, height=%g, angle=%g)"
+        return fmt % pars
 
-        Valid kwargs are:
-        %(Patch)s
+    @_docstring.interpd
+    def __init__(self, xy, width, height, *,
+                 angle=0.0, rotation_point='xy', **kwargs):
         """
-
-        Patch.__init__(self, **kwargs)
-
-        self._x = xy[0]
-        self._y = xy[1]
+        Parameters
+        ----------
+        xy : (float, float)
+            The anchor point.
+        width : float
+            Rectangle width.
+        height : float
+            Rectangle height.
+        angle : float, default: 0
+            Rotation in degrees anti-clockwise about the rotation point.
+        rotation_point : {'xy', 'center', (number, number)}, default: 'xy'
+            If ``'xy'``, rotate around the anchor point. If ``'center'`` rotate
+            around the center. If 2-tuple of number, rotate around this
+            coordinate.
+
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Patch` properties
+            %(Patch:kwdoc)s
+        """
+        super().__init__(**kwargs)
+        self._x0 = xy[0]
+        self._y0 = xy[1]
         self._width = width
         self._height = height
-        self._angle = angle
-        # Note: This cannot be calculated until this is added to an Axes
-        self._rect_transform = transforms.IdentityTransform()
+        self.angle = float(angle)
+        self.rotation_point = rotation_point
+        # Required for RectangleSelector with axes aspect ratio != 1
+        # The patch is defined in data coordinates and when changing the
+        # selector with square modifier and not in data coordinates, we need
+        # to correct for the aspect ratio difference between the data and
+        # display coordinate systems. Its value is typically provide by
+        # Axes._get_aspect_ratio()
+        self._aspect_ratio_correction = 1.0
+        self._convert_units()  # Validate the inputs.
 
     def get_path(self):
-        """
-        Return the vertices of the rectangle
-        """
+        """Return the vertices of the rectangle."""
         return Path.unit_rectangle()
 
-    def _update_patch_transform(self):
-        """NOTE: This cannot be called until after this has been added
-                 to an Axes, otherwise unit conversion will fail. This
-                 maxes it very important to call the accessor method and
-                 not directly access the transformation member variable.
-        """
-        x = self.convert_xunits(self._x)
-        y = self.convert_yunits(self._y)
-        width = self.convert_xunits(self._width)
-        height = self.convert_yunits(self._height)
-        bbox = transforms.Bbox.from_bounds(x, y, width, height)
-        rot_trans = transforms.Affine2D()
-        rot_trans.rotate_deg_around(x, y, self._angle)
-        self._rect_transform = transforms.BboxTransformTo(bbox)
-        self._rect_transform += rot_trans
+    def _convert_units(self):
+        """Convert bounds of the rectangle."""
+        x0 = self.convert_xunits(self._x0)
+        y0 = self.convert_yunits(self._y0)
+        x1 = self.convert_xunits(self._x0 + self._width)
+        y1 = self.convert_yunits(self._y0 + self._height)
+        return x0, y0, x1, y1
 
     def get_patch_transform(self):
-        self._update_patch_transform()
-        return self._rect_transform
-
-    def contains(self, mouseevent):
-        # special case the degenerate rectangle
-        if self._width == 0 or self._height == 0:
-            return False, {}
-
-        x, y = self.get_transform().inverted().transform_point(
-            (mouseevent.x, mouseevent.y))
-        return (x >= 0.0 and x <= 1.0 and y >= 0.0 and y <= 1.0), {}
+        # Note: This cannot be called until after this has been added to
+        # an Axes, otherwise unit conversion will fail. This makes it very
+        # important to call the accessor method and not directly access the
+        # transformation member variable.
+        bbox = self.get_bbox()
+        if self.rotation_point == 'center':
+            width, height = bbox.x1 - bbox.x0, bbox.y1 - bbox.y0
+            rotation_point = bbox.x0 + width / 2., bbox.y0 + height / 2.
+        elif self.rotation_point == 'xy':
+            rotation_point = bbox.x0, bbox.y0
+        else:
+            rotation_point = self.rotation_point
+        return transforms.BboxTransformTo(bbox) \
+                + transforms.Affine2D() \
+                .translate(-rotation_point[0], -rotation_point[1]) \
+                .scale(1, self._aspect_ratio_correction) \
+                .rotate_deg(self.angle) \
+                .scale(1, 1 / self._aspect_ratio_correction) \
+                .translate(*rotation_point)
+
+    @property
+    def rotation_point(self):
+        """The rotation point of the patch."""
+        return self._rotation_point
+
+    @rotation_point.setter
+    def rotation_point(self, value):
+        if value in ['center', 'xy'] or (
+                isinstance(value, tuple) and len(value) == 2 and
+                isinstance(value[0], Real) and isinstance(value[1], Real)
+                ):
+            self._rotation_point = value
+        else:
+            raise ValueError("`rotation_point` must be one of "
+                             "{'xy', 'center', (number, number)}.")
 
     def get_x(self):
-        "Return the left coord of the rectangle"
-        return self._x
+        """Return the left coordinate of the rectangle."""
+        return self._x0
 
     def get_y(self):
-        "Return the bottom coord of the rectangle"
-        return self._y
+        """Return the bottom coordinate of the rectangle."""
+        return self._y0
 
     def get_xy(self):
-        "Return the left and bottom coords of the rectangle"
-        return self._x, self._y
+        """Return the left and bottom coords of the rectangle as a tuple."""
+        return self._x0, self._y0
+
+    def get_corners(self):
+        """
+        Return the corners of the rectangle, moving anti-clockwise from
+        (x0, y0).
+        """
+        return self.get_patch_transform().transform(
+            [(0, 0), (1, 0), (1, 1), (0, 1)])
+
+    def get_center(self):
+        """Return the centre of the rectangle."""
+        return self.get_patch_transform().transform((0.5, 0.5))
 
     def get_width(self):
-        "Return the width of the  rectangle"
+        """Return the width of the rectangle."""
         return self._width
 
     def get_height(self):
-        "Return the height of the rectangle"
+        """Return the height of the rectangle."""
         return self._height
 
-    def set_x(self, x):
-        """
-        Set the left coord of the rectangle
+    def get_angle(self):
+        """Get the rotation angle in degrees."""
+        return self.angle
 
-        ACCEPTS: float
-        """
-        self._x = x
+    def set_x(self, x):
+        """Set the left coordinate of the rectangle."""
+        self._x0 = x
+        self.stale = True
 
     def set_y(self, y):
+        """Set the bottom coordinate of the rectangle."""
+        self._y0 = y
+        self.stale = True
+
+    def set_angle(self, angle):
         """
-        Set the bottom coord of the rectangle
+        Set the rotation angle in degrees.
 
-        ACCEPTS: float
+        The rotation is performed anti-clockwise around *xy*.
         """
-        self._y = y
+        self.angle = angle
+        self.stale = True
 
     def set_xy(self, xy):
         """
-        Set the left and bottom coords of the rectangle
+        Set the left and bottom coordinates of the rectangle.
 
-        ACCEPTS: 2-item sequence
+        Parameters
+        ----------
+        xy : (float, float)
         """
-        self._x, self._y = xy
+        self._x0, self._y0 = xy
+        self.stale = True
 
     def set_width(self, w):
-        """
-        Set the width rectangle
-
-        ACCEPTS: float
-        """
+        """Set the width of the rectangle."""
         self._width = w
+        self.stale = True
 
     def set_height(self, h):
-        """
-        Set the width rectangle
-
-        ACCEPTS: float
-        """
+        """Set the height of the rectangle."""
         self._height = h
+        self.stale = True
 
     def set_bounds(self, *args):
         """
-        Set the bounds of the rectangle: l,b,w,h
+        Set the bounds of the rectangle as *left*, *bottom*, *width*, *height*.
+
+        The values may be passed as separate parameters or as a tuple::
 
-        ACCEPTS: (left, bottom, width, height)
+            set_bounds(left, bottom, width, height)
+            set_bounds((left, bottom, width, height))
+
+        .. ACCEPTS: (left, bottom, width, height)
         """
-        if len(args) == 0:
+        if len(args) == 1:
             l, b, w, h = args[0]
         else:
             l, b, w, h = args
-        self._x = l
-        self._y = b
+        self._x0 = l
+        self._y0 = b
         self._width = w
         self._height = h
+        self.stale = True
 
     def get_bbox(self):
-        return transforms.Bbox.from_bounds(self._x, self._y,
-                                           self._width, self._height)
+        """Return the `.Bbox`."""
+        return transforms.Bbox.from_extents(*self._convert_units())
 
     xy = property(get_xy, set_xy)
 
 
 class RegularPolygon(Patch):
-    """
-    A regular polygon patch.
-    """
+    """A regular polygon patch."""
+
     def __str__(self):
-        return "Poly%d(%g,%g)" % (self._numVertices, self._xy[0], self._xy[1])
+        s = "RegularPolygon((%g, %g), %d, radius=%g, orientation=%g)"
+        return s % (self.xy[0], self.xy[1], self.numvertices, self.radius,
+                    self.orientation)
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, numVertices, radius=5, orientation=0,
-                 **kwargs):
+    @_docstring.interpd
+    def __init__(self, xy, numVertices, *,
+                 radius=5, orientation=0, **kwargs):
         """
-        Constructor arguments:
+        Parameters
+        ----------
+        xy : (float, float)
+            The center position.
 
-        *xy*
-          A length 2 tuple (*x*, *y*) of the center.
+        numVertices : int
+            The number of vertices.
 
-        *numVertices*
-          the number of vertices.
+        radius : float
+            The distance from the center to each of the vertices.
 
-        *radius*
-          The distance from the center to each of the vertices.
+        orientation : float
+            The polygon rotation angle (in radians).
 
-        *orientation*
-          rotates the polygon (in radians).
+        **kwargs
+            `Patch` properties:
 
-        Valid kwargs are:
-        %(Patch)s
+            %(Patch:kwdoc)s
         """
-        self._xy = xy
-        self._numVertices = numVertices
-        self._orientation = orientation
-        self._radius = radius
+        self.xy = xy
+        self.numvertices = numVertices
+        self.orientation = orientation
+        self.radius = radius
         self._path = Path.unit_regular_polygon(numVertices)
-        self._poly_transform = transforms.Affine2D()
-        self._update_transform()
+        self._patch_transform = transforms.Affine2D()
+        super().__init__(**kwargs)
 
-        Patch.__init__(self, **kwargs)
+    def get_path(self):
+        return self._path
 
-    def _update_transform(self):
-        self._poly_transform.clear() \
+    def get_patch_transform(self):
+        return self._patch_transform.clear() \
             .scale(self.radius) \
             .rotate(self.orientation) \
             .translate(*self.xy)
 
-    def _get_xy(self):
-        return self._xy
-
-    def _set_xy(self, xy):
-        self._xy = xy
-        self._update_transform()
-    xy = property(_get_xy, _set_xy)
 
-    def _get_orientation(self):
-        return self._orientation
-
-    def _set_orientation(self, orientation):
-        self._orientation = orientation
-        self._update_transform()
-    orientation = property(_get_orientation, _set_orientation)
+class PathPatch(Patch):
+    """A general polycurve path patch."""
 
-    def _get_radius(self):
-        return self._radius
+    _edge_default = True
 
-    def _set_radius(self, radius):
-        self._radius = radius
-        self._update_transform()
-    radius = property(_get_radius, _set_radius)
+    def __str__(self):
+        s = "PathPatch%d((%g, %g) ...)"
+        return s % (len(self._path.vertices), *tuple(self._path.vertices[0]))
 
-    def _get_numvertices(self):
-        return self._numVertices
+    @_docstring.interpd
+    def __init__(self, path, **kwargs):
+        """
+        *path* is a `.Path` object.
 
-    def _set_numvertices(self, numVertices):
-        self._numVertices = numVertices
+        Valid keyword arguments are:
 
-    numvertices = property(_get_numvertices, _set_numvertices)
+        %(Patch:kwdoc)s
+        """
+        super().__init__(**kwargs)
+        self._path = path
 
     def get_path(self):
         return self._path
 
-    def get_patch_transform(self):
-        self._update_transform()
-        return self._poly_transform
+    def set_path(self, path):
+        self._path = path
 
 
-class PathPatch(Patch):
+class StepPatch(PathPatch):
     """
-    A general polycurve path patch.
-    """
-    def __str__(self):
-        return "Poly((%g, %g) ...)" % tuple(self._path.vertices[0])
+    A path patch describing a stepwise constant function.
 
-    @docstring.dedent_interpd
-    def __init__(self, path, **kwargs):
-        """
-        *path* is a :class:`matplotlib.path.Path` object.
+    By default, the path is not closed and starts and stops at
+    baseline value.
+    """
 
-        Valid kwargs are:
-        %(Patch)s
+    _edge_default = False
 
-        .. seealso::
+    @_docstring.interpd
+    def __init__(self, values, edges, *,
+                 orientation='vertical', baseline=0, **kwargs):
+        """
+        Parameters
+        ----------
+        values : array-like
+            The step heights.
+
+        edges : array-like
+            The edge positions, with ``len(edges) == len(vals) + 1``,
+            between which the curve takes on vals values.
+
+        orientation : {'vertical', 'horizontal'}, default: 'vertical'
+            The direction of the steps. Vertical means that *values* are
+            along the y-axis, and edges are along the x-axis.
+
+        baseline : float, array-like or None, default: 0
+            The bottom value of the bounding edges or when
+            ``fill=True``, position of lower edge. If *fill* is
+            True or an array is passed to *baseline*, a closed
+            path is drawn.
+
+        **kwargs
+            `Patch` properties:
+
+            %(Patch:kwdoc)s
+        """
+        self.orientation = orientation
+        self._edges = np.asarray(edges)
+        self._values = np.asarray(values)
+        self._baseline = np.asarray(baseline) if baseline is not None else None
+        self._update_path()
+        super().__init__(self._path, **kwargs)
+
+    def _update_path(self):
+        if np.isnan(np.sum(self._edges)):
+            raise ValueError('Nan values in "edges" are disallowed')
+        if self._edges.size - 1 != self._values.size:
+            raise ValueError('Size mismatch between "values" and "edges". '
+                             "Expected `len(values) + 1 == len(edges)`, but "
+                             f"`len(values) = {self._values.size}` and "
+                             f"`len(edges) = {self._edges.size}`.")
+        # Initializing with empty arrays allows supporting empty stairs.
+        verts, codes = [np.empty((0, 2))], [np.empty(0, dtype=Path.code_type)]
+
+        _nan_mask = np.isnan(self._values)
+        if self._baseline is not None:
+            _nan_mask |= np.isnan(self._baseline)
+        for idx0, idx1 in cbook.contiguous_regions(~_nan_mask):
+            x = np.repeat(self._edges[idx0:idx1+1], 2)
+            y = np.repeat(self._values[idx0:idx1], 2)
+            if self._baseline is None:
+                y = np.concatenate([y[:1], y, y[-1:]])
+            elif self._baseline.ndim == 0:  # single baseline value
+                y = np.concatenate([[self._baseline], y, [self._baseline]])
+            elif self._baseline.ndim == 1:  # baseline array
+                base = np.repeat(self._baseline[idx0:idx1], 2)[::-1]
+                x = np.concatenate([x, x[::-1]])
+                y = np.concatenate([base[-1:], y, base[:1],
+                                    base[:1], base, base[-1:]])
+            else:  # no baseline
+                raise ValueError('Invalid `baseline` specified')
+            if self.orientation == 'vertical':
+                xy = np.column_stack([x, y])
+            else:
+                xy = np.column_stack([y, x])
+            verts.append(xy)
+            codes.append([Path.MOVETO] + [Path.LINETO]*(len(xy)-1))
+        self._path = Path(np.concatenate(verts), np.concatenate(codes))
 
-            :class:`Patch`
-                For additional kwargs
+    def get_data(self):
+        """Get `.StepPatch` values, edges and baseline as namedtuple."""
+        StairData = namedtuple('StairData', 'values edges baseline')
+        return StairData(self._values, self._edges, self._baseline)
 
+    def set_data(self, values=None, edges=None, baseline=None):
         """
-        Patch.__init__(self, **kwargs)
-        self._path = path
+        Set `.StepPatch` values, edges and baseline.
 
-    def get_path(self):
-        return self._path
+        Parameters
+        ----------
+        values : 1D array-like or None
+            Will not update values, if passing None
+        edges : 1D array-like, optional
+        baseline : float, 1D array-like or None
+        """
+        if values is None and edges is None and baseline is None:
+            raise ValueError("Must set *values*, *edges* or *baseline*.")
+        if values is not None:
+            self._values = np.asarray(values)
+        if edges is not None:
+            self._edges = np.asarray(edges)
+        if baseline is not None:
+            self._baseline = np.asarray(baseline)
+        self._update_path()
+        self.stale = True
 
 
 class Polygon(Patch):
-    """
-    A general polygon patch.
-    """
+    """A general polygon patch."""
+
     def __str__(self):
-        return "Poly((%g, %g) ...)" % tuple(self._path.vertices[0])
+        if len(self._path.vertices):
+            s = "Polygon%d((%g, %g) ...)"
+            return s % (len(self._path.vertices), *self._path.vertices[0])
+        else:
+            return "Polygon0()"
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, closed=True, **kwargs):
+    @_docstring.interpd
+    def __init__(self, xy, *, closed=True, **kwargs):
         """
-        *xy* is a numpy array with shape Nx2.
-
-        If *closed* is *True*, the polygon will be closed so the
-        starting and ending points are the same.
-
-        Valid kwargs are:
-        %(Patch)s
-
-        .. seealso::
+        Parameters
+        ----------
+        xy : (N, 2) array
 
-            :class:`Patch`
-                For additional kwargs
+        closed : bool, default: True
+            Whether the polygon is closed (i.e., has identical start and end
+            points).
 
+        **kwargs
+            %(Patch:kwdoc)s
         """
-        Patch.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._closed = closed
         self.set_xy(xy)
 
     def get_path(self):
-        """
-        Get the path of the polygon
-
-        Returns
-        -------
-        path : Path
-           The :class:`~matplotlib.path.Path` object for
-           the polygon
-        """
+        """Get the `.Path` of the polygon."""
         return self._path
 
     def get_closed(self):
-        """
-        Returns if the polygon is closed
-
-        Returns
-        -------
-        closed : bool
-            If the path is closed
-        """
+        """Return whether the polygon is closed."""
         return self._closed
 
     def set_closed(self, closed):
         """
-        Set if the polygon is closed
+        Set whether the polygon is closed.
 
         Parameters
         ----------
         closed : bool
-           True if the polygon is closed
+            True if the polygon is closed
         """
         if self._closed == bool(closed):
             return
         self._closed = bool(closed)
         self.set_xy(self.get_xy())
+        self.stale = True
 
     def get_xy(self):
         """
-        Get the vertices of the path
+        Get the vertices of the path.
 
         Returns
         -------
-        vertices : numpy array
-            The coordinates of the vertices as a Nx2
-            ndarray.
+        (N, 2) array
+            The coordinates of the vertices.
         """
         return self._path.vertices
 
     def set_xy(self, xy):
         """
-        Set the vertices of the polygon
+        Set the vertices of the polygon.
 
         Parameters
         ----------
-        xy : numpy array or iterable of pairs
-            The coordinates of the vertices as a Nx2
-            ndarray or iterable of pairs.
+        xy : (N, 2) array-like
+            The coordinates of the vertices.
+
+        Notes
+        -----
+        Unlike `.Path`, we do not ignore the last input vertex. If the
+        polygon is meant to be closed, and the last point of the polygon is not
+        equal to the first, we assume that the user has not explicitly passed a
+        ``CLOSEPOLY`` vertex, and add it ourselves.
         """
         xy = np.asarray(xy)
+        nverts, _ = xy.shape
         if self._closed:
-            if len(xy) and (xy[0] != xy[-1]).any():
+            # if the first and last vertex are the "same", then we assume that
+            # the user explicitly passed the CLOSEPOLY vertex. Otherwise, we
+            # have to append one since the last vertex will be "ignored" by
+            # Path
+            if nverts == 1 or nverts > 1 and (xy[0] != xy[-1]).any():
                 xy = np.concatenate([xy, [xy[0]]])
         else:
-            if len(xy) > 2 and (xy[0] == xy[-1]).all():
+            # if we aren't closed, and the last vertex matches the first, then
+            # we assume we have an unnecessary CLOSEPOLY vertex and remove it
+            if nverts > 2 and (xy[0] == xy[-1]).all():
                 xy = xy[:-1]
         self._path = Path(xy, closed=self._closed)
+        self.stale = True
 
-    _get_xy = get_xy
-    _set_xy = set_xy
-    xy = property(
-        get_xy, set_xy, None,
-        """Set/get the vertices of the polygon.  This property is
-           provided for backward compatibility with matplotlib 0.91.x
-           only.  New code should use
-           :meth:`~matplotlib.patches.Polygon.get_xy` and
-           :meth:`~matplotlib.patches.Polygon.set_xy` instead.""")
+    xy = property(get_xy, set_xy,
+                  doc='The vertices of the path as a (N, 2) array.')
 
 
 class Wedge(Patch):
-    """
-    Wedge shaped patch.
-    """
+    """Wedge shaped patch."""
+
     def __str__(self):
-        return "Wedge(%g,%g)" % (self.theta1, self.theta2)
+        pars = (self.center[0], self.center[1], self.r,
+                self.theta1, self.theta2, self.width)
+        fmt = "Wedge(center=(%g, %g), r=%g, theta1=%g, theta2=%g, width=%s)"
+        return fmt % pars
 
-    @docstring.dedent_interpd
-    def __init__(self, center, r, theta1, theta2, width=None, **kwargs):
+    @_docstring.interpd
+    def __init__(self, center, r, theta1, theta2, *, width=None, **kwargs):
         """
-        Draw a wedge centered at *x*, *y* center with radius *r* that
+        A wedge centered at *x*, *y* center with radius *r* that
         sweeps *theta1* to *theta2* (in degrees).  If *width* is given,
         then a partial wedge is drawn from inner radius *r* - *width*
         to outer radius *r*.
 
-        Valid kwargs are:
+        Valid keyword arguments are:
 
-        %(Patch)s
+        %(Patch:kwdoc)s
         """
-        Patch.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self.center = center
         self.r, self.width = r, width
         self.theta1, self.theta2 = theta1, theta2
@@ -978,39 +1290,41 @@ def _recompute_path(self):
             # Partial annulus needs to draw the outer ring
             # followed by a reversed and scaled inner ring
             v1 = arc.vertices
-            v2 = arc.vertices[::-1] * float(self.r - self.width) / self.r
-            v = np.vstack([v1, v2, v1[0, :], (0, 0)])
-            c = np.hstack([arc.codes, arc.codes, connector, Path.CLOSEPOLY])
-            c[len(arc.codes)] = connector
+            v2 = arc.vertices[::-1] * (self.r - self.width) / self.r
+            v = np.concatenate([v1, v2, [(0, 0)]])
+            c = [*arc.codes, connector, *arc.codes[1:], Path.CLOSEPOLY]
         else:
             # Wedge doesn't need an inner ring
-            v = np.vstack([arc.vertices, [(0, 0), arc.vertices[0, :], (0, 0)]])
-            c = np.hstack([arc.codes, [connector, connector, Path.CLOSEPOLY]])
+            v = np.concatenate([arc.vertices, [(0, 0), (0, 0)]])
+            c = [*arc.codes, connector, Path.CLOSEPOLY]
 
         # Shift and scale the wedge to the final location.
-        v *= self.r
-        v += np.asarray(self.center)
-        self._path = Path(v, c)
+        self._path = Path(v * self.r + self.center, c)
 
     def set_center(self, center):
         self._path = None
         self.center = center
+        self.stale = True
 
     def set_radius(self, radius):
         self._path = None
         self.r = radius
+        self.stale = True
 
     def set_theta1(self, theta1):
         self._path = None
         self.theta1 = theta1
+        self.stale = True
 
     def set_theta2(self, theta2):
         self._path = None
         self.theta2 = theta2
+        self.stale = True
 
     def set_width(self, width):
         self._path = None
         self.width = width
+        self.stale = True
 
     def get_path(self):
         if self._path is None:
@@ -1020,38 +1334,47 @@ def get_path(self):
 
 # COVERAGE NOTE: Not used internally or from examples
 class Arrow(Patch):
-    """
-    An arrow patch.
-    """
+    """An arrow patch."""
+
     def __str__(self):
         return "Arrow()"
 
-    _path = Path([
-            [0.0,  0.1], [0.0, -0.1],
-            [0.8, -0.1], [0.8, -0.3],
-            [1.0,  0.0], [0.8,  0.3],
-            [0.8,  0.1], [0.0,  0.1]],
-                  closed=True)
-
-    @docstring.dedent_interpd
-    def __init__(self, x, y, dx, dy, width=1.0, **kwargs):
-        """
-        Draws an arrow, starting at (*x*, *y*), direction and length
-        given by (*dx*, *dy*) the width of the arrow is scaled by *width*.
+    _path = Path._create_closed([
+        [0.0, 0.1], [0.0, -0.1], [0.8, -0.1], [0.8, -0.3], [1.0, 0.0],
+        [0.8, 0.3], [0.8, 0.1]])
 
-        Valid kwargs are:
-        %(Patch)s
+    @_docstring.interpd
+    def __init__(self, x, y, dx, dy, *, width=1.0, **kwargs):
         """
-        Patch.__init__(self, **kwargs)
-        L = np.sqrt(dx ** 2 + dy ** 2) or 1  # account for div by zero
-        cx = float(dx) / L
-        sx = float(dy) / L
+        Draws an arrow from (*x*, *y*) to (*x* + *dx*, *y* + *dy*).
+        The width of the arrow is scaled by *width*.
 
-        trans1 = transforms.Affine2D().scale(L, width)
-        trans2 = transforms.Affine2D.from_values(cx, sx, -sx, cx, 0.0, 0.0)
-        trans3 = transforms.Affine2D().translate(x, y)
-        trans = trans1 + trans2 + trans3
-        self._patch_transform = trans.frozen()
+        Parameters
+        ----------
+        x : float
+            x coordinate of the arrow tail.
+        y : float
+            y coordinate of the arrow tail.
+        dx : float
+            Arrow length in the x direction.
+        dy : float
+            Arrow length in the y direction.
+        width : float, default: 1
+            Scale factor for the width of the arrow. With a default value of 1,
+            the tail width is 0.2 and head width is 0.6.
+        **kwargs
+            Keyword arguments control the `Patch` properties:
+
+            %(Patch:kwdoc)s
+
+        See Also
+        --------
+        FancyArrow
+            Patch that allows independent control of the head and tail
+            properties.
+        """
+        super().__init__(**kwargs)
+        self.set_data(x, y, dx, dy, width)
 
     def get_path(self):
         return self._path
@@ -1059,301 +1382,604 @@ def get_path(self):
     def get_patch_transform(self):
         return self._patch_transform
 
+    def set_data(self, x=None, y=None, dx=None, dy=None, width=None):
+        """
+        Set `.Arrow` x, y, dx, dy and width.
+        Values left as None will not be updated.
+
+        Parameters
+        ----------
+        x, y : float or None, default: None
+            The x and y coordinates of the arrow base.
+
+        dx, dy : float or None, default: None
+            The length of the arrow along x and y direction.
+
+        width : float or None, default: None
+            Width of full arrow tail.
+        """
+        if x is not None:
+            self._x = x
+        if y is not None:
+            self._y = y
+        if dx is not None:
+            self._dx = dx
+        if dy is not None:
+            self._dy = dy
+        if width is not None:
+            self._width = width
+        self._patch_transform = (
+            transforms.Affine2D()
+            .scale(np.hypot(self._dx, self._dy), self._width)
+            .rotate(np.arctan2(self._dy, self._dx))
+            .translate(self._x, self._y)
+            .frozen())
+
 
 class FancyArrow(Polygon):
     """
     Like Arrow, but lets you set head width and head height independently.
     """
 
+    _edge_default = True
+
     def __str__(self):
         return "FancyArrow()"
 
-    @docstring.dedent_interpd
-    def __init__(self, x, y, dx, dy, width=0.001, length_includes_head=False,
-        head_width=None, head_length=None, shape='full', overhang=0,
-        head_starts_at_zero=False, **kwargs):
+    @_docstring.interpd
+    def __init__(self, x, y, dx, dy, *,
+                 width=0.001, length_includes_head=False, head_width=None,
+                 head_length=None, shape='full', overhang=0,
+                 head_starts_at_zero=False, **kwargs):
         """
-        Constructor arguments
-          *width*: float (default: 0.001)
-            width of full arrow tail
+        Parameters
+        ----------
+        x, y : float
+            The x and y coordinates of the arrow base.
+
+        dx, dy : float
+            The length of the arrow along x and y direction.
+
+        width : float, default: 0.001
+            Width of full arrow tail.
 
-          *length_includes_head*: [True | False] (default: False)
+        length_includes_head : bool, default: False
             True if head is to be counted in calculating the length.
 
-          *head_width*: float or None (default: 3*width)
-            total width of the full arrow head
+        head_width : float or None, default: 3*width
+            Total width of the full arrow head.
 
-          *head_length*: float or None (default: 1.5 * head_width)
-            length of arrow head
+        head_length : float or None, default: 1.5*head_width
+            Length of arrow head.
 
-          *shape*: ['full', 'left', 'right'] (default: 'full')
-            draw the left-half, right-half, or full arrow
+        shape : {'full', 'left', 'right'}, default: 'full'
+            Draw the left-half, right-half, or full arrow.
 
-          *overhang*: float (default: 0)
-            fraction that the arrow is swept back (0 overhang means
+        overhang : float, default: 0
+            Fraction that the arrow is swept back (0 overhang means
             triangular shape). Can be negative or greater than one.
 
-          *head_starts_at_zero*: [True | False] (default: False)
-            if True, the head starts being drawn at coordinate 0
+        head_starts_at_zero : bool, default: False
+            If True, the head starts being drawn at coordinate 0
             instead of ending at coordinate 0.
 
-        Other valid kwargs (inherited from :class:`Patch`) are:
-        %(Patch)s
+        **kwargs
+            `.Patch` properties:
+
+            %(Patch:kwdoc)s
+        """
+        self._x = x
+        self._y = y
+        self._dx = dx
+        self._dy = dy
+        self._width = width
+        self._length_includes_head = length_includes_head
+        self._head_width = head_width
+        self._head_length = head_length
+        self._shape = shape
+        self._overhang = overhang
+        self._head_starts_at_zero = head_starts_at_zero
+        self._make_verts()
+        super().__init__(self.verts, closed=True, **kwargs)
 
+    def set_data(self, *, x=None, y=None, dx=None, dy=None, width=None,
+                 head_width=None, head_length=None):
         """
-        if head_width is None:
-            head_width = 20 * width
-        if head_length is None:
+        Set `.FancyArrow` x, y, dx, dy, width, head_with, and head_length.
+        Values left as None will not be updated.
+
+        Parameters
+        ----------
+        x, y : float or None, default: None
+            The x and y coordinates of the arrow base.
+
+        dx, dy : float or None, default: None
+            The length of the arrow along x and y direction.
+
+        width : float or None, default: None
+            Width of full arrow tail.
+
+        head_width : float or None, default: None
+            Total width of the full arrow head.
+
+        head_length : float or None, default: None
+            Length of arrow head.
+        """
+        if x is not None:
+            self._x = x
+        if y is not None:
+            self._y = y
+        if dx is not None:
+            self._dx = dx
+        if dy is not None:
+            self._dy = dy
+        if width is not None:
+            self._width = width
+        if head_width is not None:
+            self._head_width = head_width
+        if head_length is not None:
+            self._head_length = head_length
+        self._make_verts()
+        self.set_xy(self.verts)
+
+    def _make_verts(self):
+        if self._head_width is None:
+            head_width = 3 * self._width
+        else:
+            head_width = self._head_width
+        if self._head_length is None:
             head_length = 1.5 * head_width
+        else:
+            head_length = self._head_length
 
-        distance = np.sqrt(dx ** 2 + dy ** 2)
-        if length_includes_head:
+        distance = np.hypot(self._dx, self._dy)
+
+        if self._length_includes_head:
             length = distance
         else:
             length = distance + head_length
         if not length:
-            verts = []  # display nothing if empty
+            self.verts = np.empty([0, 2])  # display nothing if empty
         else:
-            # start by drawing horizontal arrow, point at (0,0)
-            hw, hl, hs, lw = head_width, head_length, overhang, width
+            # start by drawing horizontal arrow, point at (0, 0)
+            hw, hl = head_width, head_length
+            hs, lw = self._overhang, self._width
             left_half_arrow = np.array([
-               [0.0, 0.0],                  # tip
-                [-hl, -hw / 2.0],             # leftmost
-                [-hl * (1 - hs), -lw / 2.0],  # meets stem
-                [-length, -lw / 2.0],          # bottom left
+                [0.0, 0.0],                 # tip
+                [-hl, -hw / 2],             # leftmost
+                [-hl * (1 - hs), -lw / 2],  # meets stem
+                [-length, -lw / 2],         # bottom left
                 [-length, 0],
             ])
-            #if we're not including the head, shift up by head length
-            if not length_includes_head:
+            # if we're not including the head, shift up by head length
+            if not self._length_includes_head:
                 left_half_arrow += [head_length, 0]
-            #if the head starts at 0, shift up by another head length
-            if head_starts_at_zero:
-                left_half_arrow += [head_length / 2.0, 0]
-            #figure out the shape, and complete accordingly
-            if shape == 'left':
+            # if the head starts at 0, shift up by another head length
+            if self._head_starts_at_zero:
+                left_half_arrow += [head_length / 2, 0]
+            # figure out the shape, and complete accordingly
+            if self._shape == 'left':
                 coords = left_half_arrow
             else:
                 right_half_arrow = left_half_arrow * [1, -1]
-                if shape == 'right':
+                if self._shape == 'right':
                     coords = right_half_arrow
-                elif shape == 'full':
+                elif self._shape == 'full':
                     # The half-arrows contain the midpoint of the stem,
                     # which we can omit from the full arrow. Including it
                     # twice caused a problem with xpdf.
                     coords = np.concatenate([left_half_arrow[:-1],
                                              right_half_arrow[-2::-1]])
                 else:
-                    raise ValueError("Got unknown shape: %s" % shape)
-            cx = float(dx) / distance
-            sx = float(dy) / distance
-            M = np.array([[cx, sx], [-sx, cx]])
-            verts = np.dot(coords, M) + (x + dx, y + dy)
+                    raise ValueError(f"Got unknown shape: {self._shape!r}")
+            if distance != 0:
+                cx = self._dx / distance
+                sx = self._dy / distance
+            else:
+                # Account for division by zero
+                cx, sx = 0, 1
+            M = [[cx, sx], [-sx, cx]]
+            self.verts = np.dot(coords, M) + [
+                self._x + self._dx,
+                self._y + self._dy,
+            ]
 
-        Polygon.__init__(self, list(map(tuple, verts)), closed=True, **kwargs)
 
+_docstring.interpd.register(
+    FancyArrow="\n".join(
+        (inspect.getdoc(FancyArrow.__init__) or "").splitlines()[2:]))
 
-docstring.interpd.update({"FancyArrow": FancyArrow.__init__.__doc__})
 
-docstring.interpd.update({"FancyArrow": FancyArrow.__init__.__doc__})
+class CirclePolygon(RegularPolygon):
+    """A polygon-approximation of a circle patch."""
 
+    def __str__(self):
+        s = "CirclePolygon((%g, %g), radius=%g, resolution=%d)"
+        return s % (self.xy[0], self.xy[1], self.radius, self.numvertices)
 
-class YAArrow(Patch):
-    """
-    Yet another arrow class.
+    @_docstring.interpd
+    def __init__(self, xy, radius=5, *,
+                 resolution=20,  # the number of vertices
+                 ** kwargs):
+        """
+        Create a circle at *xy* = (*x*, *y*) with given *radius*.
 
-    This is an arrow that is defined in display space and has a tip at
-    *x1*, *y1* and a base at *x2*, *y2*.
-    """
-    def __str__(self):
-        return "YAArrow()"
+        This circle is approximated by a regular polygon with *resolution*
+        sides.  For a smoother circle drawn with splines, see `Circle`.
+
+        Valid keyword arguments are:
 
-    @docstring.dedent_interpd
-    def __init__(self, figure, xytip, xybase,
-                 width=4, frac=0.1, headwidth=12, **kwargs):
+        %(Patch:kwdoc)s
         """
-        Constructor arguments:
+        super().__init__(
+            xy, resolution, radius=radius, orientation=0, **kwargs)
 
-        *xytip*
-          (*x*, *y*) location of arrow tip
 
-        *xybase*
-          (*x*, *y*) location the arrow base mid point
+class Ellipse(Patch):
+    """A scale-free ellipse."""
 
-        *figure*
-          The :class:`~matplotlib.figure.Figure` instance
-          (fig.dpi)
+    def __str__(self):
+        pars = (self._center[0], self._center[1],
+                self.width, self.height, self.angle)
+        fmt = "Ellipse(xy=(%s, %s), width=%s, height=%s, angle=%s)"
+        return fmt % pars
 
-        *width*
-          The width of the arrow in points
+    @_docstring.interpd
+    def __init__(self, xy, width, height, *, angle=0, **kwargs):
+        """
+        Parameters
+        ----------
+        xy : (float, float)
+            xy coordinates of ellipse centre.
+        width : float
+            Total length (diameter) of horizontal axis.
+        height : float
+            Total length (diameter) of vertical axis.
+        angle : float, default: 0
+            Rotation in degrees anti-clockwise.
 
-        *frac*
-          The fraction of the arrow length occupied by the head
+        Notes
+        -----
+        Valid keyword arguments are:
 
-        *headwidth*
-          The width of the base of the arrow head in points
+        %(Patch:kwdoc)s
+        """
+        super().__init__(**kwargs)
 
-        Valid kwargs are:
-        %(Patch)s
+        self._center = xy
+        self._width, self._height = width, height
+        self._angle = angle
+        self._path = Path.unit_circle()
+        # Required for EllipseSelector with axes aspect ratio != 1
+        # The patch is defined in data coordinates and when changing the
+        # selector with square modifier and not in data coordinates, we need
+        # to correct for the aspect ratio difference between the data and
+        # display coordinate systems.
+        self._aspect_ratio_correction = 1.0
+        # Note: This cannot be calculated until this is added to an Axes
+        self._patch_transform = transforms.IdentityTransform()
 
+    def _recompute_transform(self):
         """
-        self.xytip = xytip
-        self.xybase = xybase
-        self.width = width
-        self.frac = frac
-        self.headwidth = headwidth
-        Patch.__init__(self, **kwargs)
-        # Set self.figure after Patch.__init__, since it sets self.figure to
-        # None
-        self.figure = figure
+        Notes
+        -----
+        This cannot be called until after this has been added to an Axes,
+        otherwise unit conversion will fail. This makes it very important to
+        call the accessor method and not directly access the transformation
+        member variable.
+        """
+        center = (self.convert_xunits(self._center[0]),
+                  self.convert_yunits(self._center[1]))
+        width = self.convert_xunits(self._width)
+        height = self.convert_yunits(self._height)
+        self._patch_transform = transforms.Affine2D() \
+            .scale(width * 0.5, height * 0.5 * self._aspect_ratio_correction) \
+            .rotate_deg(self.angle) \
+            .scale(1, 1 / self._aspect_ratio_correction) \
+            .translate(*center)
 
     def get_path(self):
-        # Since this is dpi dependent, we need to recompute the path
-        # every time.
+        """Return the path of the ellipse."""
+        return self._path
+
+    def get_patch_transform(self):
+        self._recompute_transform()
+        return self._patch_transform
 
-        # the base vertices
-        x1, y1 = self.xytip
-        x2, y2 = self.xybase
-        k1 = self.width * self.figure.dpi / 72. / 2.
-        k2 = self.headwidth * self.figure.dpi / 72. / 2.
-        xb1, yb1, xb2, yb2 = self.getpoints(x1, y1, x2, y2, k1)
+    def set_center(self, xy):
+        """
+        Set the center of the ellipse.
 
-        # a point on the segment 20% of the distance from the tip to the base
-        theta = math.atan2(y2 - y1, x2 - x1)
-        r = math.sqrt((y2 - y1) ** 2. + (x2 - x1) ** 2.)
-        xm = x1 + self.frac * r * math.cos(theta)
-        ym = y1 + self.frac * r * math.sin(theta)
-        xc1, yc1, xc2, yc2 = self.getpoints(x1, y1, xm, ym, k1)
-        xd1, yd1, xd2, yd2 = self.getpoints(x1, y1, xm, ym, k2)
+        Parameters
+        ----------
+        xy : (float, float)
+        """
+        self._center = xy
+        self.stale = True
 
-        xs = self.convert_xunits([xb1, xb2, xc2, xd2, x1, xd1, xc1, xb1])
-        ys = self.convert_yunits([yb1, yb2, yc2, yd2, y1, yd1, yc1, yb1])
+    def get_center(self):
+        """Return the center of the ellipse."""
+        return self._center
 
-        return Path(list(zip(xs, ys)), closed=True)
+    center = property(get_center, set_center)
 
-    def get_patch_transform(self):
-        return transforms.IdentityTransform()
+    def set_width(self, width):
+        """
+        Set the width of the ellipse.
+
+        Parameters
+        ----------
+        width : float
+        """
+        self._width = width
+        self.stale = True
 
-    def getpoints(self, x1, y1, x2, y2, k):
+    def get_width(self):
         """
-        For line segment defined by (*x1*, *y1*) and (*x2*, *y2*)
-        return the points on the line that is perpendicular to the
-        line and intersects (*x2*, *y2*) and the distance from (*x2*,
-        *y2*) of the returned points is *k*.
+        Return the width of the ellipse.
         """
-        x1, y1, x2, y2, k = list(map(float, (x1, y1, x2, y2, k)))
+        return self._width
 
-        if y2 - y1 == 0:
-            return x2, y2 + k, x2, y2 - k
-        elif x2 - x1 == 0:
-            return x2 + k, y2, x2 - k, y2
+    width = property(get_width, set_width)
 
-        m = (y2 - y1) / (x2 - x1)
-        pm = -1. / m
-        a = 1
-        b = -2 * y2
-        c = y2 ** 2. - k ** 2. * pm ** 2. / (1. + pm ** 2.)
+    def set_height(self, height):
+        """
+        Set the height of the ellipse.
 
-        y3a = (-b + math.sqrt(b ** 2. - 4 * a * c)) / (2. * a)
-        x3a = (y3a - y2) / pm + x2
+        Parameters
+        ----------
+        height : float
+        """
+        self._height = height
+        self.stale = True
 
-        y3b = (-b - math.sqrt(b ** 2. - 4 * a * c)) / (2. * a)
-        x3b = (y3b - y2) / pm + x2
-        return x3a, y3a, x3b, y3b
+    def get_height(self):
+        """Return the height of the ellipse."""
+        return self._height
 
+    height = property(get_height, set_height)
 
-class CirclePolygon(RegularPolygon):
-    """
-    A polygon-approximation of a circle patch.
-    """
-    def __str__(self):
-        return "CirclePolygon(%d,%d)" % self.center
+    def set_angle(self, angle):
+        """
+        Set the angle of the ellipse.
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, radius=5,
-                 resolution=20,  # the number of vertices
-                 ** kwargs):
+        Parameters
+        ----------
+        angle : float
         """
-        Create a circle at *xy* = (*x*, *y*) with given *radius*.
-        This circle is approximated by a regular polygon with
-        *resolution* sides.  For a smoother circle drawn with splines,
-        see :class:`~matplotlib.patches.Circle`.
+        self._angle = angle
+        self.stale = True
+
+    def get_angle(self):
+        """Return the angle of the ellipse."""
+        return self._angle
+
+    angle = property(get_angle, set_angle)
 
-        Valid kwargs are:
-        %(Patch)s
+    def get_corners(self):
+        """
+        Return the corners of the ellipse bounding box.
+
+        The bounding box orientation is moving anti-clockwise from the
+        lower left corner defined before rotation.
+        """
+        return self.get_patch_transform().transform(
+            [(-1, -1), (1, -1), (1, 1), (-1, 1)])
 
+    def get_vertices(self):
         """
-        RegularPolygon.__init__(self, xy,
-                                resolution,
-                                radius,
-                                orientation=0,
-                                **kwargs)
+        Return the vertices coordinates of the ellipse.
 
+        The definition can be found `here <https://en.wikipedia.org/wiki/Ellipse>`_
 
-class Ellipse(Patch):
+        .. versionadded:: 3.8
+        """
+        if self.width < self.height:
+            ret = self.get_patch_transform().transform([(0, 1), (0, -1)])
+        else:
+            ret = self.get_patch_transform().transform([(1, 0), (-1, 0)])
+        return [tuple(x) for x in ret]
+
+    def get_co_vertices(self):
+        """
+        Return the co-vertices coordinates of the ellipse.
+
+        The definition can be found `here <https://en.wikipedia.org/wiki/Ellipse>`_
+
+        .. versionadded:: 3.8
+        """
+        if self.width < self.height:
+            ret = self.get_patch_transform().transform([(1, 0), (-1, 0)])
+        else:
+            ret = self.get_patch_transform().transform([(0, 1), (0, -1)])
+        return [tuple(x) for x in ret]
+
+
+class Annulus(Patch):
     """
-    A scale-free ellipse.
+    An elliptical annulus.
     """
+
+    @_docstring.interpd
+    def __init__(self, xy, r, width, angle=0.0, **kwargs):
+        """
+        Parameters
+        ----------
+        xy : (float, float)
+            xy coordinates of annulus centre.
+        r : float or (float, float)
+            The radius, or semi-axes:
+
+            - If float: radius of the outer circle.
+            - If two floats: semi-major and -minor axes of outer ellipse.
+        width : float
+            Width (thickness) of the annular ring. The width is measured inward
+            from the outer ellipse so that for the inner ellipse the semi-axes
+            are given by ``r - width``. *width* must be less than or equal to
+            the semi-minor axis.
+        angle : float, default: 0
+            Rotation angle in degrees (anti-clockwise from the positive
+            x-axis). Ignored for circular annuli (i.e., if *r* is a scalar).
+        **kwargs
+            Keyword arguments control the `Patch` properties:
+
+            %(Patch:kwdoc)s
+        """
+        super().__init__(**kwargs)
+
+        self.set_radii(r)
+        self.center = xy
+        self.width = width
+        self.angle = angle
+        self._path = None
+
     def __str__(self):
-        return "Ellipse(%s,%s;%sx%s)" % (self.center[0], self.center[1],
-                                         self.width, self.height)
+        if self.a == self.b:
+            r = self.a
+        else:
+            r = (self.a, self.b)
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, width, height, angle=0.0, **kwargs):
+        return "Annulus(xy=(%s, %s), r=%s, width=%s, angle=%s)" % \
+                (*self.center, r, self.width, self.angle)
+
+    def set_center(self, xy):
         """
-        *xy*
-          center of ellipse
+        Set the center of the annulus.
 
-        *width*
-          total length (diameter) of horizontal axis
+        Parameters
+        ----------
+        xy : (float, float)
+        """
+        self._center = xy
+        self._path = None
+        self.stale = True
 
-        *height*
-          total length (diameter) of vertical axis
+    def get_center(self):
+        """Return the center of the annulus."""
+        return self._center
 
-        *angle*
-          rotation in degrees (anti-clockwise)
+    center = property(get_center, set_center)
 
-        Valid kwargs are:
-        %(Patch)s
+    def set_width(self, width):
         """
-        Patch.__init__(self, **kwargs)
+        Set the width (thickness) of the annulus ring.
 
-        self.center = xy
-        self.width, self.height = width, height
-        self.angle = angle
-        self._path = Path.unit_circle()
-        # Note: This cannot be calculated until this is added to an Axes
-        self._patch_transform = transforms.IdentityTransform()
+        The width is measured inwards from the outer ellipse.
 
-    def _recompute_transform(self):
-        """NOTE: This cannot be called until after this has been added
-                 to an Axes, otherwise unit conversion will fail. This
-                 maxes it very important to call the accessor method and
-                 not directly access the transformation member variable.
+        Parameters
+        ----------
+        width : float
         """
-        center = (self.convert_xunits(self.center[0]),
-                  self.convert_yunits(self.center[1]))
-        width = self.convert_xunits(self.width)
-        height = self.convert_yunits(self.height)
-        self._patch_transform = transforms.Affine2D() \
-            .scale(width * 0.5, height * 0.5) \
-            .rotate_deg(self.angle) \
-            .translate(*center)
+        if width > min(self.a, self.b):
+            raise ValueError(
+                'Width of annulus must be less than or equal to semi-minor axis')
 
-    def get_path(self):
+        self._width = width
+        self._path = None
+        self.stale = True
+
+    def get_width(self):
+        """Return the width (thickness) of the annulus ring."""
+        return self._width
+
+    width = property(get_width, set_width)
+
+    def set_angle(self, angle):
         """
-        Return the vertices of the rectangle
+        Set the tilt angle of the annulus.
+
+        Parameters
+        ----------
+        angle : float
         """
-        return self._path
+        self._angle = angle
+        self._path = None
+        self.stale = True
 
-    def get_patch_transform(self):
-        self._recompute_transform()
-        return self._patch_transform
+    def get_angle(self):
+        """Return the angle of the annulus."""
+        return self._angle
 
-    def contains(self, ev):
-        if ev.x is None or ev.y is None:
-            return False, {}
-        x, y = self.get_transform().inverted().transform_point((ev.x, ev.y))
-        return (x * x + y * y) <= 1.0, {}
+    angle = property(get_angle, set_angle)
+
+    def set_semimajor(self, a):
+        """
+        Set the semi-major axis *a* of the annulus.
+
+        Parameters
+        ----------
+        a : float
+        """
+        self.a = float(a)
+        self._path = None
+        self.stale = True
+
+    def set_semiminor(self, b):
+        """
+        Set the semi-minor axis *b* of the annulus.
+
+        Parameters
+        ----------
+        b : float
+        """
+        self.b = float(b)
+        self._path = None
+        self.stale = True
+
+    def set_radii(self, r):
+        """
+        Set the semi-major (*a*) and semi-minor radii (*b*) of the annulus.
+
+        Parameters
+        ----------
+        r : float or (float, float)
+            The radius, or semi-axes:
+
+            - If float: radius of the outer circle.
+            - If two floats: semi-major and -minor axes of outer ellipse.
+        """
+        if np.shape(r) == (2,):
+            self.a, self.b = r
+        elif np.shape(r) == ():
+            self.a = self.b = float(r)
+        else:
+            raise ValueError("Parameter 'r' must be one or two floats.")
+
+        self._path = None
+        self.stale = True
+
+    def get_radii(self):
+        """Return the semi-major and semi-minor radii of the annulus."""
+        return self.a, self.b
+
+    radii = property(get_radii, set_radii)
+
+    def _transform_verts(self, verts, a, b):
+        return transforms.Affine2D() \
+            .scale(*self._convert_xy_units((a, b))) \
+            .rotate_deg(self.angle) \
+            .translate(*self._convert_xy_units(self.center)) \
+            .transform(verts)
+
+    def _recompute_path(self):
+        # circular arc
+        arc = Path.arc(0, 360)
+
+        # annulus needs to draw an outer ring
+        # followed by a reversed and scaled inner ring
+        a, b, w = self.a, self.b, self.width
+        v1 = self._transform_verts(arc.vertices, a, b)
+        v2 = self._transform_verts(arc.vertices[::-1], a - w, b - w)
+        v = np.vstack([v1, v2, v1[0, :], (0, 0)])
+        c = np.hstack([arc.codes, Path.MOVETO,
+                       arc.codes[1:], Path.MOVETO,
+                       Path.CLOSEPOLY])
+        self._path = Path(v, c)
+
+    def get_path(self):
+        if self._path is None:
+            self._recompute_path()
+        return self._path
 
 
 class Circle(Ellipse):
@@ -1361,35 +1987,38 @@ class Circle(Ellipse):
     A circle patch.
     """
     def __str__(self):
-        return "Circle((%g,%g),r=%g)" % (self.center[0],
-                                         self.center[1],
-                                         self.radius)
+        pars = self.center[0], self.center[1], self.radius
+        fmt = "Circle(xy=(%g, %g), radius=%g)"
+        return fmt % pars
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def __init__(self, xy, radius=5, **kwargs):
         """
-        Create true circle at center *xy* = (*x*, *y*) with given
-        *radius*.  Unlike :class:`~matplotlib.patches.CirclePolygon`
-        which is a polygonal approximation, this uses Bézier splines
-        and is much closer to a scale-free circle.
+        Create a true circle at center *xy* = (*x*, *y*) with given *radius*.
+
+        Unlike `CirclePolygon` which is a polygonal approximation, this uses
+        Bezier splines and is much closer to a scale-free circle.
 
-        Valid kwargs are:
-        %(Patch)s
+        Valid keyword arguments are:
 
+        %(Patch:kwdoc)s
         """
+        super().__init__(xy, radius * 2, radius * 2, **kwargs)
         self.radius = radius
-        Ellipse.__init__(self, xy, radius * 2, radius * 2, **kwargs)
 
     def set_radius(self, radius):
         """
-        Set the radius of the circle
+        Set the radius of the circle.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        radius : float
         """
         self.width = self.height = 2 * radius
+        self.stale = True
 
     def get_radius(self):
-        'return the radius of the circle'
+        """Return the radius of the circle."""
         return self.width / 2.
 
     radius = property(get_radius, set_radius)
@@ -1397,72 +2026,81 @@ def get_radius(self):
 
 class Arc(Ellipse):
     """
-    An elliptical arc.  Because it performs various optimizations, it
-    can not be filled.
-
-    The arc must be used in an :class:`~matplotlib.axes.Axes`
-    instance---it can not be added directly to a
-    :class:`~matplotlib.figure.Figure`---because it is optimized to
-    only render the segments that are inside the axes bounding box
-    with high resolution.
+    An elliptical arc, i.e. a segment of an ellipse.
+
+    Due to internal optimizations, the arc cannot be filled.
     """
+
     def __str__(self):
-        return "Arc(%s,%s;%sx%s)" % (self.center[0], self.center[1],
-                                     self.width, self.height)
+        pars = (self.center[0], self.center[1], self.width,
+                self.height, self.angle, self.theta1, self.theta2)
+        fmt = ("Arc(xy=(%g, %g), width=%g, "
+               "height=%g, angle=%g, theta1=%g, theta2=%g)")
+        return fmt % pars
 
-    @docstring.dedent_interpd
-    def __init__(self, xy, width, height, angle=0.0,
-                 theta1=0.0, theta2=360.0, **kwargs):
+    @_docstring.interpd
+    def __init__(self, xy, width, height, *,
+                 angle=0.0, theta1=0.0, theta2=360.0, **kwargs):
         """
-        The following args are supported:
-
-        *xy*
-          center of ellipse
-
-        *width*
-          length of horizontal axis
-
-        *height*
-          length of vertical axis
+        Parameters
+        ----------
+        xy : (float, float)
+            The center of the ellipse.
 
-        *angle*
-          rotation in degrees (anti-clockwise)
+        width : float
+            The length of the horizontal axis.
 
-        *theta1*
-          starting angle of the arc in degrees
+        height : float
+            The length of the vertical axis.
 
-        *theta2*
-          ending angle of the arc in degrees
+        angle : float
+            Rotation of the ellipse in degrees (counterclockwise).
 
-        If *theta1* and *theta2* are not provided, the arc will form a
-        complete ellipse.
+        theta1, theta2 : float, default: 0, 360
+            Starting and ending angles of the arc in degrees. These values
+            are relative to *angle*, e.g. if *angle* = 45 and *theta1* = 90
+            the absolute starting angle is 135.
+            Default *theta1* = 0, *theta2* = 360, i.e. a complete ellipse.
+            The arc is drawn in the counterclockwise direction.
+            Angles greater than or equal to 360, or smaller than 0, are
+            represented by an equivalent angle in the range [0, 360), by
+            taking the input value mod 360.
 
-        Valid kwargs are:
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Patch` properties
+            Most `.Patch` properties are supported as keyword arguments,
+            except *fill* and *facecolor* because filling is not supported.
 
-        %(Patch)s
+        %(Patch:kwdoc)s
         """
         fill = kwargs.setdefault('fill', False)
         if fill:
-            raise ValueError("Arc objects can not be filled")
+            raise ValueError("Arc objects cannot be filled")
 
-        Ellipse.__init__(self, xy, width, height, angle, **kwargs)
+        super().__init__(xy, width, height, angle=angle, **kwargs)
 
         self.theta1 = theta1
         self.theta2 = theta2
+        (self._theta1, self._theta2, self._stretched_width,
+         self._stretched_height) = self._theta_stretch()
+        self._path = Path.arc(self._theta1, self._theta2)
 
-        self._path = Path.arc(self.theta1, self.theta2)
-
-    @allow_rasterization
+    @artist.allow_rasterization
     def draw(self, renderer):
         """
+        Draw the arc to the given *renderer*.
+
+        Notes
+        -----
         Ellipses are normally drawn using an approximation that uses
-        eight cubic bezier splines.  The error of this approximation
+        eight cubic Bezier splines.  The error of this approximation
         is 1.89818e-6, according to this unverified source:
 
-          Lancaster, Don.  Approximating a Circle or an Ellipse Using
-          Four Bezier Cubic Splines.
+          Lancaster, Don.  *Approximating a Circle or an Ellipse Using
+          Four Bezier Cubic Splines.*
 
-          http://www.tinaja.com/glib/ellipse4.pdf
+          https://www.tinaja.com/glib/ellipse4.pdf
 
         There is a use case where very large ellipses must be drawn
         with very high accuracy, and it is too expensive to render the
@@ -1476,71 +2114,66 @@ def draw(self, renderer):
         with each visible arc using a fixed number of spline segments
         (8).  The algorithm proceeds as follows:
 
-          1. The points where the ellipse intersects the axes bounding
-             box are located.  (This is done be performing an inverse
-             transformation on the axes bbox such that it is relative
-             to the unit circle -- this makes the intersection
-             calculation much easier than doing rotated ellipse
-             intersection directly).
+        1. The points where the ellipse intersects the axes (or figure)
+           bounding box are located.  (This is done by performing an inverse
+           transformation on the bbox such that it is relative to the unit
+           circle -- this makes the intersection calculation much easier than
+           doing rotated ellipse intersection directly.)
 
-             This uses the "line intersecting a circle" algorithm
-             from:
+           This uses the "line intersecting a circle" algorithm from:
 
-               Vince, John.  Geometry for Computer Graphics: Formulae,
-               Examples & Proofs.  London: Springer-Verlag, 2005.
+               Vince, John.  *Geometry for Computer Graphics: Formulae,
+               Examples & Proofs.*  London: Springer-Verlag, 2005.
 
-          2. The angles of each of the intersection points are
-             calculated.
+        2. The angles of each of the intersection points are calculated.
 
-          3. Proceeding counterclockwise starting in the positive
-             x-direction, each of the visible arc-segments between the
-             pairs of vertices are drawn using the bezier arc
-             approximation technique implemented in
-             :meth:`matplotlib.path.Path.arc`.
+        3. Proceeding counterclockwise starting in the positive
+           x-direction, each of the visible arc-segments between the
+           pairs of vertices are drawn using the Bezier arc
+           approximation technique implemented in `.Path.arc`.
         """
-        if not hasattr(self, 'axes'):
-            raise RuntimeError('Arcs can only be used in Axes instances')
+        if not self.get_visible():
+            return
 
         self._recompute_transform()
 
-        # Get the width and height in pixels
-        width = self.convert_xunits(self.width)
-        height = self.convert_yunits(self.height)
-        width, height = self.get_transform().transform_point(
-            (width, height))
+        self._update_path()
+        # Get width and height in pixels we need to use
+        # `self.get_data_transform` rather than `self.get_transform`
+        # because we want the transform from dataspace to the
+        # screen space to estimate how big the arc will be in physical
+        # units when rendered (the transform that we get via
+        # `self.get_transform()` goes from an idealized unit-radius
+        # space to screen space).
+        data_to_screen_trans = self.get_data_transform()
+        pwidth, pheight = (
+            data_to_screen_trans.transform((self._stretched_width,
+                                            self._stretched_height)) -
+            data_to_screen_trans.transform((0, 0)))
         inv_error = (1.0 / 1.89818e-6) * 0.5
 
-        if width < inv_error and height < inv_error:
-            #self._path = Path.arc(self.theta1, self.theta2)
+        if pwidth < inv_error and pheight < inv_error:
             return Patch.draw(self, renderer)
 
-        def iter_circle_intersect_on_line(x0, y0, x1, y1):
+        def line_circle_intersect(x0, y0, x1, y1):
             dx = x1 - x0
             dy = y1 - y0
             dr2 = dx * dx + dy * dy
             D = x0 * y1 - x1 * y0
             D2 = D * D
             discrim = dr2 - D2
-
-            # Single (tangential) intersection
-            if discrim == 0.0:
-                x = (D * dy) / dr2
-                y = (-D * dx) / dr2
-                yield x, y
-            elif discrim > 0.0:
-                # The definition of "sign" here is different from
-                # np.sign: we never want to get 0.0
-                if dy < 0.0:
-                    sign_dy = -1.0
-                else:
-                    sign_dy = 1.0
+            if discrim >= 0.0:
+                sign_dy = np.copysign(1, dy)  # +/-1, never 0.
                 sqrt_discrim = np.sqrt(discrim)
-                for sign in (1., -1.):
-                    x = (D * dy + sign * sign_dy * dx * sqrt_discrim) / dr2
-                    y = (-D * dx + sign * np.abs(dy) * sqrt_discrim) / dr2
-                    yield x, y
+                return np.array(
+                    [[(D * dy + sign_dy * dx * sqrt_discrim) / dr2,
+                      (-D * dx + abs(dy) * sqrt_discrim) / dr2],
+                     [(D * dy - sign_dy * dx * sqrt_discrim) / dr2,
+                      (-D * dx - abs(dy) * sqrt_discrim) / dr2]])
+            else:
+                return np.empty((0, 2))
 
-        def iter_circle_intersect_on_line_seg(x0, y0, x1, y1):
+        def segment_circle_intersect(x0, y0, x1, y1):
             epsilon = 1e-9
             if x1 < x0:
                 x0e, x1e = x1, x0
@@ -1550,56 +2183,43 @@ def iter_circle_intersect_on_line_seg(x0, y0, x1, y1):
                 y0e, y1e = y1, y0
             else:
                 y0e, y1e = y0, y1
-            x0e -= epsilon
-            y0e -= epsilon
-            x1e += epsilon
-            y1e += epsilon
-            for x, y in iter_circle_intersect_on_line(x0, y0, x1, y1):
-                if x >= x0e and x <= x1e and y >= y0e and y <= y1e:
-                    yield x, y
-
-        # Transforms the axes box_path so that it is relative to the unit
-        # circle in the same way that it is relative to the desired
+            xys = line_circle_intersect(x0, y0, x1, y1)
+            xs, ys = xys.T
+            return xys[
+                (x0e - epsilon < xs) & (xs < x1e + epsilon)
+                & (y0e - epsilon < ys) & (ys < y1e + epsilon)
+            ]
+
+        # Transform the Axes (or figure) box_path so that it is relative to
+        # the unit circle in the same way that it is relative to the desired
         # ellipse.
-        box_path = Path.unit_rectangle()
-        box_path_transform = transforms.BboxTransformTo(self.axes.bbox) + \
-            self.get_transform().inverted()
-        box_path = box_path.transformed(box_path_transform)
-
-        PI = np.pi
-        TWOPI = PI * 2.0
-        RAD2DEG = 180.0 / PI
-        DEG2RAD = PI / 180.0
-        theta1 = self.theta1
-        theta2 = self.theta2
-        thetas = {}
+        box_path_transform = (
+            transforms.BboxTransformTo((self.axes or self.get_figure(root=False)).bbox)
+            - self.get_transform())
+        box_path = Path.unit_rectangle().transformed(box_path_transform)
+
+        thetas = set()
         # For each of the point pairs, there is a line segment
         for p0, p1 in zip(box_path.vertices[:-1], box_path.vertices[1:]):
-            x0, y0 = p0
-            x1, y1 = p1
-            for x, y in iter_circle_intersect_on_line_seg(x0, y0, x1, y1):
-                theta = np.arccos(x)
-                if y < 0:
-                    theta = TWOPI - theta
-                # Convert radians to angles
-                theta *= RAD2DEG
-                if theta > theta1 and theta < theta2:
-                    thetas[theta] = None
-
-        thetas = list(six.iterkeys(thetas))
-        thetas.sort()
-        thetas.append(theta2)
-
-        last_theta = theta1
-        theta1_rad = theta1 * DEG2RAD
-        inside = box_path.contains_point((np.cos(theta1_rad),
-                                          np.sin(theta1_rad)))
+            xy = segment_circle_intersect(*p0, *p1)
+            x, y = xy.T
+            # arctan2 return [-pi, pi), the rest of our angles are in
+            # [0, 360], adjust as needed.
+            theta = (np.rad2deg(np.arctan2(y, x)) + 360) % 360
+            thetas.update(
+                theta[(self._theta1 < theta) & (theta < self._theta2)])
+        thetas = sorted(thetas) + [self._theta2]
+        last_theta = self._theta1
+        theta1_rad = np.deg2rad(self._theta1)
+        inside = box_path.contains_point(
+            (np.cos(theta1_rad), np.sin(theta1_rad))
+        )
 
         # save original path
         path_original = self._path
         for theta in thetas:
             if inside:
-                Path.arc(last_theta, theta, 8)
+                self._path = Path.arc(last_theta, theta, 8)
                 Patch.draw(self, renderer)
                 inside = False
             else:
@@ -1609,12 +2229,51 @@ def iter_circle_intersect_on_line_seg(x0, y0, x1, y1):
         # restore original path
         self._path = path_original
 
+    def _update_path(self):
+        # Compute new values and update and set new _path if any value changed
+        stretched = self._theta_stretch()
+        if any(a != b for a, b in zip(
+                stretched, (self._theta1, self._theta2, self._stretched_width,
+                            self._stretched_height))):
+            (self._theta1, self._theta2, self._stretched_width,
+             self._stretched_height) = stretched
+            self._path = Path.arc(self._theta1, self._theta2)
+
+    def _theta_stretch(self):
+        # If the width and height of ellipse are not equal, take into account
+        # stretching when calculating angles to draw between
+        def theta_stretch(theta, scale):
+            theta = np.deg2rad(theta)
+            x = np.cos(theta)
+            y = np.sin(theta)
+            stheta = np.rad2deg(np.arctan2(scale * y, x))
+            # arctan2 has the range [-pi, pi], we expect [0, 2*pi]
+            return (stheta + 360) % 360
+
+        width = self.convert_xunits(self.width)
+        height = self.convert_yunits(self.height)
+        if (
+            # if we need to stretch the angles because we are distorted
+            width != height
+            # and we are not doing a full circle.
+            #
+            # 0 and 360 do not exactly round-trip through the angle
+            # stretching (due to both float precision limitations and
+            # the difference between the range of arctan2 [-pi, pi] and
+            # this method [0, 360]) so avoid doing it if we don't have to.
+            and not (self.theta1 != self.theta2 and
+                     self.theta1 % 360 == self.theta2 % 360)
+        ):
+            theta1 = theta_stretch(self.theta1, width / height)
+            theta2 = theta_stretch(self.theta2, width / height)
+            return theta1, theta2, width, height
+        return self.theta1, self.theta2, width, height
+
 
 def bbox_artist(artist, renderer, props=None, fill=True):
     """
-    This is a debug function to draw a rectangle around the bounding
-    box returned by
-    :meth:`~matplotlib.artist.Artist.get_window_extent` of an artist,
+    A debug function to draw a rectangle around the bounding
+    box returned by an artist's `.Artist.get_window_extent`
     to test whether the artist is returning the correct bbox.
 
     *props* is a dict of rectangle props with the additional property
@@ -1626,173 +2285,126 @@ def bbox_artist(artist, renderer, props=None, fill=True):
     pad = props.pop('pad', 4)
     pad = renderer.points_to_pixels(pad)
     bbox = artist.get_window_extent(renderer)
-    l, b, w, h = bbox.bounds
-    l -= pad / 2.
-    b -= pad / 2.
-    w += pad
-    h += pad
-    r = Rectangle(xy=(l, b),
-                  width=w,
-                  height=h,
-                  fill=fill,
-                 )
-    r.set_transform(transforms.IdentityTransform())
-    r.set_clip_on(False)
+    r = Rectangle(
+        xy=(bbox.x0 - pad / 2, bbox.y0 - pad / 2),
+        width=bbox.width + pad, height=bbox.height + pad,
+        fill=fill, transform=transforms.IdentityTransform(), clip_on=False)
     r.update(props)
     r.draw(renderer)
 
 
 def draw_bbox(bbox, renderer, color='k', trans=None):
     """
-    This is a debug function to draw a rectangle around the bounding
-    box returned by
-    :meth:`~matplotlib.artist.Artist.get_window_extent` of an artist,
+    A debug function to draw a rectangle around the bounding
+    box returned by an artist's `.Artist.get_window_extent`
     to test whether the artist is returning the correct bbox.
     """
-
-    l, b, w, h = bbox.bounds
-    r = Rectangle(xy=(l, b),
-                  width=w,
-                  height=h,
-                  edgecolor=color,
-                  fill=False,
-                 )
+    r = Rectangle(xy=bbox.p0, width=bbox.width, height=bbox.height,
+                  edgecolor=color, fill=False, clip_on=False)
     if trans is not None:
         r.set_transform(trans)
-    r.set_clip_on(False)
     r.draw(renderer)
 
 
-def _pprint_table(_table, leadingspace=2):
-    """
-    Given the list of list of strings, return a string of REST table format.
-    """
-    if leadingspace:
-        pad = ' ' * leadingspace
-    else:
-        pad = ''
-
-    columns = [[] for cell in _table[0]]
-
-    for row in _table:
-        for column, cell in zip(columns, row):
-            column.append(cell)
-
-    col_len = [max([len(cell) for cell in column]) for column in columns]
-
-    lines = []
-    table_formatstr = pad + '   '.join([('=' * cl) for cl in col_len])
-
-    lines.append('')
-    lines.append(table_formatstr)
-    lines.append(pad + '   '.join([cell.ljust(cl)
-                                   for cell, cl
-                                   in zip(_table[0], col_len)]))
-    lines.append(table_formatstr)
-
-    lines.extend([(pad + '   '.join([cell.ljust(cl)
-                                     for cell, cl
-                                     in zip(row, col_len)]))
-                  for row in _table[1:]])
-
-    lines.append(table_formatstr)
-    lines.append('')
-    return "\n".join(lines)
-
-
-def _pprint_styles(_styles):
-    """
-    A helper function for the _Style class.  Given the dictionary of
-    (stylename : styleclass), return a formatted string listing all the
-    styles. Used to update the documentation.
-    """
-    names, attrss, clss = [], [], []
-
-    import inspect
-
-    _table = [["Class", "Name", "Attrs"]]
-
-    for name, cls in sorted(_styles.items()):
-        args, varargs, varkw, defaults = inspect.getargspec(cls.__init__)
-        if defaults:
-            args = [(argname, argdefault)
-                    for argname, argdefault in zip(args[1:], defaults)]
-        else:
-            args = None
-
-        if args is None:
-            argstr = 'None'
-        else:
-            argstr = ",".join([("%s=%s" % (an, av))
-                               for an, av
-                               in args])
-
-        #adding ``quotes`` since - and | have special meaning in reST
-        _table.append([cls.__name__, "``%s``" % name, argstr])
-
-    return _pprint_table(_table)
-
-
-class _Style(object):
+class _Style:
     """
     A base class for the Styles. It is meant to be a container class,
     where actual styles are declared as subclass of it, and it
     provides some helper functions.
     """
-    def __new__(self, stylename, **kw):
-        """
-        return the instance of the subclass with the given style name.
-        """
-
-        # the "class" should have the _style_list attribute, which is
-        # a dictionary of stylname, style class paie.
 
+    def __init_subclass__(cls):
+        # Automatically perform docstring interpolation on the subclasses:
+        # This allows listing the supported styles via
+        # - %(BoxStyle:table)s
+        # - %(ConnectionStyle:table)s
+        # - %(ArrowStyle:table)s
+        # and additionally adding .. ACCEPTS: blocks via
+        # - %(BoxStyle:table_and_accepts)s
+        # - %(ConnectionStyle:table_and_accepts)s
+        # - %(ArrowStyle:table_and_accepts)s
+        _docstring.interpd.register(**{
+            f"{cls.__name__}:table": cls.pprint_styles(),
+            f"{cls.__name__}:table_and_accepts": (
+                cls.pprint_styles()
+                + "\n\n    .. ACCEPTS: ["
+                + "|".join(map(" '{}' ".format, cls._style_list))
+                + "]")
+        })
+
+    def __new__(cls, stylename, **kwargs):
+        """Return the instance of the subclass with the given style name."""
+        # The "class" should have the _style_list attribute, which is a mapping
+        # of style names to style classes.
         _list = stylename.replace(" ", "").split(",")
         _name = _list[0].lower()
         try:
-            _cls = self._style_list[_name]
-        except KeyError:
-            raise ValueError("Unknown style : %s" % stylename)
-
+            _cls = cls._style_list[_name]
+        except KeyError as err:
+            raise ValueError(f"Unknown style: {stylename!r}") from err
         try:
             _args_pair = [cs.split("=") for cs in _list[1:]]
-            _args = dict([(k, float(v)) for k, v in _args_pair])
-        except ValueError:
-            raise ValueError("Incorrect style argument : %s" % stylename)
-        _args.update(kw)
-
-        return _cls(**_args)
+            _args = {k: float(v) for k, v in _args_pair}
+        except ValueError as err:
+            raise ValueError(
+                f"Incorrect style argument: {stylename!r}") from err
+        return _cls(**{**_args, **kwargs})
 
     @classmethod
-    def get_styles(klass):
-        """
-        A class method which returns a dictionary of available styles.
-        """
-        return klass._style_list
+    def get_styles(cls):
+        """Return a dictionary of available styles."""
+        return cls._style_list
 
     @classmethod
-    def pprint_styles(klass):
-        """
-        A class method which returns a string of the available styles.
-        """
-        return _pprint_styles(klass._style_list)
+    def pprint_styles(cls):
+        """Return the available styles as pretty-printed string."""
+        table = [('Class', 'Name', 'Parameters'),
+                 *[(cls.__name__,
+                    # Add backquotes, as - and | have special meaning in reST.
+                    f'``{name}``',
+                    # [1:-1] drops the surrounding parentheses.
+                    str(inspect.signature(cls))[1:-1] or 'None')
+                   for name, cls in cls._style_list.items()]]
+        # Convert to rst table.
+        col_len = [max(len(cell) for cell in column) for column in zip(*table)]
+        table_formatstr = '  '.join('=' * cl for cl in col_len)
+        rst_table = '\n'.join([
+            '',
+            table_formatstr,
+            '  '.join(cell.ljust(cl) for cell, cl in zip(table[0], col_len)),
+            table_formatstr,
+            *['  '.join(cell.ljust(cl) for cell, cl in zip(row, col_len))
+              for row in table[1:]],
+            table_formatstr,
+        ])
+        return textwrap.indent(rst_table, prefix=' ' * 4)
 
     @classmethod
-    def register(klass, name, style):
-        """
-        Register a new style.
-        """
-
-        if not issubclass(style, klass._Base):
-            raise ValueError("%s must be a subclass of %s" % (style,
-                                                              klass._Base))
-        klass._style_list[name] = style
-
-
+    @_api.deprecated(
+        '3.10.0',
+        message="This method is never used internally.",
+        alternative="No replacement.  Please open an issue if you use this."
+    )
+    def register(cls, name, style):
+        """Register a new style."""
+        if not issubclass(style, cls._Base):
+            raise ValueError(f"{style} must be a subclass of {cls._Base}")
+        cls._style_list[name] = style
+
+
+def _register_style(style_list, cls=None, *, name=None):
+    """Class decorator that stashes a class in a (style) dictionary."""
+    if cls is None:
+        return functools.partial(_register_style, style_list, name=name)
+    style_list[name or cls.__name__.lower()] = cls
+    return cls
+
+
+@_docstring.interpd
 class BoxStyle(_Style):
     """
-    :class:`BoxStyle` is a container class which defines several
-    boxstyle classes, which are used for :class:`FancyBoxPatch`.
+    `BoxStyle` is a container class which defines several
+    boxstyle classes, which are used for `FancyBboxPatch`.
 
     A style object can be created as::
 
@@ -1806,289 +2418,204 @@ class BoxStyle(_Style):
 
            BoxStyle("Round, pad=0.2")
 
-    Following boxstyle classes are defined.
-
-    %(AvailableBoxstyles)s
+    The following boxstyle classes are defined.
 
-    An instance of any boxstyle class is an callable object,
-    whose call signature is::
+    %(BoxStyle:table)s
 
-       __call__(self, x0, y0, width, height, mutation_size, aspect_ratio=1.)
+    An instance of a boxstyle class is a callable object, with the signature ::
 
-    and returns a :class:`Path` instance. *x0*, *y0*, *width* and
-    *height* specify the location and size of the box to be
-    drawn. *mutation_scale* determines the overall size of the
-    mutation (by which I mean the transformation of the rectangle to
-    the fancy box).  *mutation_aspect* determines the aspect-ratio of
-    the mutation.
+       __call__(self, x0, y0, width, height, mutation_size) -> Path
 
-    .. plot:: mpl_examples/pylab_examples/fancybox_demo2.py
+    *x0*, *y0*, *width* and *height* specify the location and size of the box
+    to be drawn; *mutation_size* scales the outline properties such as padding.
     """
 
     _style_list = {}
 
-    class _Base(object):
-        """
-        :class:`BBoxTransmuterBase` and its derivatives are used to make a
-        fancy box around a given rectangle. The :meth:`__call__` method
-        returns the :class:`~matplotlib.path.Path` of the fancy box. This
-        class is not an artist and actual drawing of the fancy box is done
-        by the :class:`FancyBboxPatch` class.
-        """
+    @_register_style(_style_list)
+    class Square:
+        """A square box."""
 
-        # The derived classes are required to be able to be initialized
-        # w/o arguments, i.e., all its argument (except self) must have
-        # the default values.
-
-        def __init__(self):
-            """
-            initializtion.
-            """
-            super(BoxStyle._Base, self).__init__()
-
-        def transmute(self, x0, y0, width, height, mutation_size):
-            """
-            The transmute method is a very core of the
-            :class:`BboxTransmuter` class and must be overriden in the
-            subclasses. It receives the location and size of the
-            rectangle, and the mutation_size, with which the amount of
-            padding and etc. will be scaled. It returns a
-            :class:`~matplotlib.path.Path` instance.
-            """
-            raise NotImplementedError('Derived must override')
-
-        def __call__(self, x0, y0, width, height, mutation_size,
-                     aspect_ratio=1.):
+        def __init__(self, pad=0.3):
             """
-            Given the location and size of the box, return the path of
-            the box around it.
-
-              - *x0*, *y0*, *width*, *height* : location and size of the box
-              - *mutation_size* : a reference scale for the mutation.
-              - *aspect_ratio* : aspect-ration for the mutation.
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
             """
-            # The __call__ method is a thin wrapper around the transmute method
-            # and take care of the aspect.
-
-            if aspect_ratio is not None:
-                # Squeeze the given height by the aspect_ratio
-                y0, height = y0 / aspect_ratio, height / aspect_ratio
-                # call transmute method with squeezed height.
-                path = self.transmute(x0, y0, width, height, mutation_size)
-                vertices, codes = path.vertices, path.codes
-                # Restore the height
-                vertices[:, 1] = vertices[:, 1] * aspect_ratio
-                return Path(vertices, codes)
-            else:
-                return self.transmute(x0, y0, width, height, mutation_size)
+            self.pad = pad
 
-        def __reduce__(self):
-            # because we have decided to nest thes classes, we need to
-            # add some more information to allow instance pickling.
-            import matplotlib.cbook as cbook
-            return (cbook._NestedClassGetter(),
-                    (BoxStyle, self.__class__.__name__),
-                    self.__dict__
-                    )
+        def __call__(self, x0, y0, width, height, mutation_size):
+            pad = mutation_size * self.pad
+            # width and height with padding added.
+            width, height = width + 2 * pad, height + 2 * pad
+            # boundary of the padded box
+            x0, y0 = x0 - pad, y0 - pad
+            x1, y1 = x0 + width, y0 + height
+            return Path._create_closed(
+                [(x0, y0), (x1, y0), (x1, y1), (x0, y1)])
 
-    class Square(_Base):
-        """
-        A simple square box.
-        """
+    @_register_style(_style_list)
+    class Circle:
+        """A circular box."""
 
         def __init__(self, pad=0.3):
             """
-             *pad*
-                amount of padding
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
             """
-
             self.pad = pad
-            super(BoxStyle.Square, self).__init__()
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
             pad = mutation_size * self.pad
-
-            # width and height with padding added.
-            width, height = width + 2*pad, height + 2*pad
-
+            width, height = width + 2 * pad, height + 2 * pad
             # boundary of the padded box
-            x0, y0 = x0 - pad, y0 - pad,
-            x1, y1 = x0 + width, y0 + height
+            x0, y0 = x0 - pad, y0 - pad
+            return Path.circle((x0 + width / 2, y0 + height / 2),
+                                max(width, height) / 2)
 
-            vertices = [(x0, y0), (x1, y0), (x1, y1), (x0, y1), (x0, y0)]
-            codes = [Path.MOVETO] + [Path.LINETO] * 3 + [Path.CLOSEPOLY]
-            return Path(vertices, codes)
+    @_register_style(_style_list)
+    class Ellipse:
+        """
+        An elliptical box.
 
-    _style_list["square"] = Square
+        .. versionadded:: 3.7
+        """
 
-    class Circle(_Base):
-        """A simple circle box."""
         def __init__(self, pad=0.3):
             """
             Parameters
             ----------
-            pad : float
+            pad : float, default: 0.3
                 The amount of padding around the original box.
             """
             self.pad = pad
-            super(BoxStyle.Circle, self).__init__()
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
             pad = mutation_size * self.pad
             width, height = width + 2 * pad, height + 2 * pad
-
             # boundary of the padded box
-            x0, y0 = x0 - pad, y0 - pad,
-            return Path.circle((x0 + width/2., y0 + height/2.),
-                               (max([width, height]) / 2.))
+            x0, y0 = x0 - pad, y0 - pad
+            a = width / math.sqrt(2)
+            b = height / math.sqrt(2)
+            trans = Affine2D().scale(a, b).translate(x0 + width / 2,
+                                                     y0 + height / 2)
+            return trans.transform_path(Path.unit_circle())
 
-    _style_list["circle"] = Circle
+    @_register_style(_style_list)
+    class LArrow:
+        """A box in the shape of a left-pointing arrow."""
 
-    class LArrow(_Base):
-        """
-        (left) Arrow Box
-        """
         def __init__(self, pad=0.3):
+            """
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
+            """
             self.pad = pad
-            super(BoxStyle.LArrow, self).__init__()
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
             # padding
             pad = mutation_size * self.pad
-
             # width and height with padding added.
-            width, height = width + 2. * pad, \
-                            height + 2. * pad,
-
+            width, height = width + 2 * pad, height + 2 * pad
             # boundary of the padded box
             x0, y0 = x0 - pad, y0 - pad,
             x1, y1 = x0 + width, y0 + height
 
-            dx = (y1 - y0) / 2.
-            dxx = dx * .5
-            # adjust x0.  1.4 <- sqrt(2)
-            x0 = x0 + pad / 1.4
-
-            cp = [(x0 + dxx, y0), (x1, y0), (x1, y1), (x0 + dxx, y1),
-                  (x0 + dxx, y1 + dxx), (x0 - dx, y0 + dx),
-                  (x0 + dxx, y0 - dxx),  # arrow
-                  (x0 + dxx, y0), (x0 + dxx, y0)]
-
-            com = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
-                   Path.LINETO, Path.LINETO, Path.LINETO,
-                   Path.LINETO, Path.CLOSEPOLY]
-
-            path = Path(cp, com)
+            dx = (y1 - y0) / 2
+            dxx = dx / 2
+            x0 = x0 + pad / 1.4  # adjust by ~sqrt(2)
 
-            return path
-    _style_list["larrow"] = LArrow
+            return Path._create_closed(
+                [(x0 + dxx, y0), (x1, y0), (x1, y1), (x0 + dxx, y1),
+                 (x0 + dxx, y1 + dxx), (x0 - dx, y0 + dx),
+                 (x0 + dxx, y0 - dxx),  # arrow
+                 (x0 + dxx, y0)])
 
+    @_register_style(_style_list)
     class RArrow(LArrow):
-        """
-        (right) Arrow Box
-        """
-
-        def __init__(self, pad=0.3):
-            #self.pad = pad
-            super(BoxStyle.RArrow, self).__init__(pad)
-
-        def transmute(self, x0, y0, width, height, mutation_size):
-
-            p = BoxStyle.LArrow.transmute(self, x0, y0,
-                                          width, height, mutation_size)
+        """A box in the shape of a right-pointing arrow."""
 
+        def __call__(self, x0, y0, width, height, mutation_size):
+            p = BoxStyle.LArrow.__call__(
+                self, x0, y0, width, height, mutation_size)
             p.vertices[:, 0] = 2 * x0 + width - p.vertices[:, 0]
-
             return p
 
-    _style_list["rarrow"] = RArrow
-
-    class DArrow(_Base):
-        """
-        (Double) Arrow Box
-        """
-        # This source is copied from LArrow,
-        # modified to add a right arrow to the bbox.
+    @_register_style(_style_list)
+    class DArrow:
+        """A box in the shape of a two-way arrow."""
+        # Modified from LArrow to add a right arrow to the bbox.
 
         def __init__(self, pad=0.3):
+            """
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
+            """
             self.pad = pad
-            super(BoxStyle.DArrow, self).__init__()
-
-        def transmute(self, x0, y0, width, height, mutation_size):
 
+        def __call__(self, x0, y0, width, height, mutation_size):
             # padding
             pad = mutation_size * self.pad
-
             # width and height with padding added.
             # The width is padded by the arrows, so we don't need to pad it.
-            height = height + 2. * pad
-
+            height = height + 2 * pad
             # boundary of the padded box
             x0, y0 = x0 - pad, y0 - pad
             x1, y1 = x0 + width, y0 + height
 
-            dx = (y1 - y0)/2.
-            dxx = dx * .5
-            # adjust x0.  1.4 <- sqrt(2)
-            x0 = x0 + pad / 1.4
-
-            cp = [(x0 + dxx, y0), (x1, y0),  # bot-segment
-                  (x1, y0 - dxx), (x1 + dx + dxx, y0 + dx),
-                  (x1, y1 + dxx),  # right-arrow
-                  (x1, y1), (x0 + dxx, y1),  # top-segment
-                  (x0 + dxx, y1 + dxx), (x0 - dx, y0 + dx),
-                  (x0 + dxx, y0 - dxx),  # left-arrow
-                  (x0 + dxx, y0), (x0 + dxx, y0)]  # close-poly
-
-            com = [Path.MOVETO, Path.LINETO,
-                   Path.LINETO, Path.LINETO,
-                   Path.LINETO,
-                   Path.LINETO, Path.LINETO,
-                   Path.LINETO, Path.LINETO,
-                   Path.LINETO,
-                   Path.LINETO, Path.CLOSEPOLY]
-
-            path = Path(cp, com)
-
-            return path
+            dx = (y1 - y0) / 2
+            dxx = dx / 2
+            x0 = x0 + pad / 1.4  # adjust by ~sqrt(2)
 
-    _style_list['darrow'] = DArrow
+            return Path._create_closed([
+                (x0 + dxx, y0), (x1, y0),  # bot-segment
+                (x1, y0 - dxx), (x1 + dx + dxx, y0 + dx),
+                (x1, y1 + dxx),  # right-arrow
+                (x1, y1), (x0 + dxx, y1),  # top-segment
+                (x0 + dxx, y1 + dxx), (x0 - dx, y0 + dx),
+                (x0 + dxx, y0 - dxx),  # left-arrow
+                (x0 + dxx, y0)])
 
-    class Round(_Base):
-        """
-        A box with round corners.
-        """
+    @_register_style(_style_list)
+    class Round:
+        """A box with round corners."""
 
         def __init__(self, pad=0.3, rounding_size=None):
             """
-            *pad*
-              amount of padding
-
-            *rounding_size*
-              rounding radius of corners. *pad* if None
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
+            rounding_size : float, default: *pad*
+                Radius of the corners.
             """
             self.pad = pad
             self.rounding_size = rounding_size
-            super(BoxStyle.Round, self).__init__()
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
 
             # padding
             pad = mutation_size * self.pad
 
-            # size of the roudning corner
+            # size of the rounding corner
             if self.rounding_size:
                 dr = mutation_size * self.rounding_size
             else:
                 dr = pad
 
-            width, height = width + 2. * pad, \
-                            height + 2. * pad,
+            width, height = width + 2 * pad, height + 2 * pad
 
             x0, y0 = x0 - pad, y0 - pad,
             x1, y1 = x0 + width, y0 + height
 
-            # Round corners are implemented as quadratic bezier. e.g.,
+            # Round corners are implemented as quadratic Bezier, e.g.,
             # [(x0, y0-dr), (x0, y0), (x0+dr, y0)] for lower left corner.
             cp = [(x0 + dr, y0),
                   (x1 - dr, y0),
@@ -2112,43 +2639,37 @@ def transmute(self, x0, y0, width, height, mutation_size):
                    Path.CURVE3, Path.CURVE3,
                    Path.CLOSEPOLY]
 
-            path = Path(cp, com)
-
-            return path
-
-    _style_list["round"] = Round
+            return Path(cp, com)
 
-    class Round4(_Base):
-        """
-        Another box with round edges.
-        """
+    @_register_style(_style_list)
+    class Round4:
+        """A box with rounded edges."""
 
         def __init__(self, pad=0.3, rounding_size=None):
             """
-            *pad*
-              amount of padding
-
-            *rounding_size*
-              rounding size of edges. *pad* if None
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
+            rounding_size : float, default: *pad*/2
+                Rounding of edges.
             """
-
             self.pad = pad
             self.rounding_size = rounding_size
-            super(BoxStyle.Round4, self).__init__()
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
 
             # padding
             pad = mutation_size * self.pad
 
-            # roudning size. Use a half of the pad if not set.
+            # Rounding size; defaults to half of the padding.
             if self.rounding_size:
                 dr = mutation_size * self.rounding_size
             else:
                 dr = pad / 2.
 
-            width, height = width + 2. * pad - 2 * dr, \
-                            height + 2. * pad - 2 * dr,
+            width = width + 2 * pad - 2 * dr
+            height = height + 2 * pad - 2 * dr
 
             x0, y0 = x0 - pad + dr, y0 - pad + dr,
             x1, y1 = x0 + width, y0 + height
@@ -2167,28 +2688,23 @@ def transmute(self, x0, y0, width, height, mutation_size):
                    Path.CURVE4, Path.CURVE4, Path.CURVE4,
                    Path.CLOSEPOLY]
 
-            path = Path(cp, com)
-
-            return path
-
-    _style_list["round4"] = Round4
+            return Path(cp, com)
 
-    class Sawtooth(_Base):
-        """
-        A sawtooth box.
-        """
+    @_register_style(_style_list)
+    class Sawtooth:
+        """A box with a sawtooth outline."""
 
         def __init__(self, pad=0.3, tooth_size=None):
             """
-            *pad*
-              amount of padding
-
-            *tooth_size*
-              size of the sawtooth. pad* if None
+            Parameters
+            ----------
+            pad : float, default: 0.3
+                The amount of padding around the original box.
+            tooth_size : float, default: *pad*/2
+                Size of the sawtooth.
             """
             self.pad = pad
             self.tooth_size = tooth_size
-            super(BoxStyle.Sawtooth, self).__init__()
 
         def _get_sawtooth_vertices(self, x0, y0, width, height, mutation_size):
 
@@ -2201,343 +2717,60 @@ def _get_sawtooth_vertices(self, x0, y0, width, height, mutation_size):
             else:
                 tooth_size = self.tooth_size * mutation_size
 
-            tooth_size2 = tooth_size / 2.
-            width, height = width + 2. * pad - tooth_size, \
-                            height + 2. * pad - tooth_size,
+            hsz = tooth_size / 2
+            width = width + 2 * pad - tooth_size
+            height = height + 2 * pad - tooth_size
 
             # the sizes of the vertical and horizontal sawtooth are
             # separately adjusted to fit the given box size.
-            dsx_n = int(round((width - tooth_size) / (tooth_size * 2))) * 2
-            dsx = (width - tooth_size) / dsx_n
-            dsy_n = int(round((height - tooth_size) / (tooth_size * 2))) * 2
-            dsy = (height - tooth_size) / dsy_n
+            dsx_n = round((width - tooth_size) / (tooth_size * 2)) * 2
+            dsy_n = round((height - tooth_size) / (tooth_size * 2)) * 2
 
-            x0, y0 = x0 - pad + tooth_size2, y0 - pad + tooth_size2
+            x0, y0 = x0 - pad + hsz, y0 - pad + hsz
             x1, y1 = x0 + width, y0 + height
 
-            bottom_saw_x = [x0] + \
-                           [x0 + tooth_size2 + dsx * .5 * i
-                            for i
-                            in range(dsx_n * 2)] + \
-                           [x1 - tooth_size2]
-
-            bottom_saw_y = [y0] + \
-                           [y0 - tooth_size2, y0,
-                            y0 + tooth_size2, y0] * dsx_n + \
-                           [y0 - tooth_size2]
-
-            right_saw_x = [x1] + \
-                          [x1 + tooth_size2,
-                           x1,
-                           x1 - tooth_size2,
-                           x1] * dsx_n + \
-                          [x1 + tooth_size2]
-
-            right_saw_y = [y0] + \
-                          [y0 + tooth_size2 + dsy * .5 * i
-                           for i
-                           in range(dsy_n * 2)] + \
-                          [y1 - tooth_size2]
-
-            top_saw_x = [x1] + \
-                        [x1 - tooth_size2 - dsx * .5 * i
-                         for i
-                         in range(dsx_n * 2)] + \
-                        [x0 + tooth_size2]
-
-            top_saw_y = [y1] + \
-                        [y1 + tooth_size2,
-                         y1,
-                         y1 - tooth_size2,
-                         y1] * dsx_n + \
-                        [y1 + tooth_size2]
-
-            left_saw_x = [x0] + \
-                         [x0 - tooth_size2,
-                          x0,
-                          x0 + tooth_size2,
-                          x0] * dsy_n + \
-                         [x0 - tooth_size2]
-
-            left_saw_y = [y1] + \
-                         [y1 - tooth_size2 - dsy * .5 * i
-                          for i
-                          in range(dsy_n * 2)] + \
-                         [y0 + tooth_size2]
-
-            saw_vertices = list(zip(bottom_saw_x, bottom_saw_y)) + \
-                           list(zip(right_saw_x, right_saw_y)) + \
-                           list(zip(top_saw_x, top_saw_y)) + \
-                           list(zip(left_saw_x, left_saw_y)) + \
-                           [(bottom_saw_x[0], bottom_saw_y[0])]
-
-            return saw_vertices
-
-        def transmute(self, x0, y0, width, height, mutation_size):
-
+            xs = [
+                x0, *np.linspace(x0 + hsz, x1 - hsz, 2 * dsx_n + 1),  # bottom
+                *([x1, x1 + hsz, x1, x1 - hsz] * dsy_n)[:2*dsy_n+2],  # right
+                x1, *np.linspace(x1 - hsz, x0 + hsz, 2 * dsx_n + 1),  # top
+                *([x0, x0 - hsz, x0, x0 + hsz] * dsy_n)[:2*dsy_n+2],  # left
+            ]
+            ys = [
+                *([y0, y0 - hsz, y0, y0 + hsz] * dsx_n)[:2*dsx_n+2],  # bottom
+                y0, *np.linspace(y0 + hsz, y1 - hsz, 2 * dsy_n + 1),  # right
+                *([y1, y1 + hsz, y1, y1 - hsz] * dsx_n)[:2*dsx_n+2],  # top
+                y1, *np.linspace(y1 - hsz, y0 + hsz, 2 * dsy_n + 1),  # left
+            ]
+
+            return [*zip(xs, ys), (xs[0], ys[0])]
+
+        def __call__(self, x0, y0, width, height, mutation_size):
             saw_vertices = self._get_sawtooth_vertices(x0, y0, width,
                                                        height, mutation_size)
-            path = Path(saw_vertices, closed=True)
-            return path
-
-    _style_list["sawtooth"] = Sawtooth
+            return Path(saw_vertices, closed=True)
 
+    @_register_style(_style_list)
     class Roundtooth(Sawtooth):
-        """A rounded tooth box."""
-        def __init__(self, pad=0.3, tooth_size=None):
-            """
-            *pad*
-              amount of padding
-
-            *tooth_size*
-              size of the sawtooth. pad* if None
-            """
-            super(BoxStyle.Roundtooth, self).__init__(pad, tooth_size)
+        """A box with a rounded sawtooth outline."""
 
-        def transmute(self, x0, y0, width, height, mutation_size):
+        def __call__(self, x0, y0, width, height, mutation_size):
             saw_vertices = self._get_sawtooth_vertices(x0, y0,
                                                        width, height,
                                                        mutation_size)
             # Add a trailing vertex to allow us to close the polygon correctly
-            saw_vertices = np.concatenate([np.array(saw_vertices),
-                                           [saw_vertices[0]]], axis=0)
+            saw_vertices = np.concatenate([saw_vertices, [saw_vertices[0]]])
             codes = ([Path.MOVETO] +
-                 [Path.CURVE3, Path.CURVE3] * ((len(saw_vertices)-1) // 2) +
-                 [Path.CLOSEPOLY])
-            print(len(codes), saw_vertices.shape)
+                     [Path.CURVE3, Path.CURVE3] * ((len(saw_vertices)-1)//2) +
+                     [Path.CLOSEPOLY])
             return Path(saw_vertices, codes)
 
-    _style_list["roundtooth"] = Roundtooth
-
-    if __doc__:  # __doc__ could be None if -OO optimization is enabled
-        __doc__ = cbook.dedent(__doc__) % \
-               {"AvailableBoxstyles": _pprint_styles(_style_list)}
-
-docstring.interpd.update(
-    AvailableBoxstyles=_pprint_styles(BoxStyle._style_list))
-
-
-class FancyBboxPatch(Patch):
-    """
-    Draw a fancy box around a rectangle with lower left at *xy*=(*x*,
-    *y*) with specified width and height.
-
-    :class:`FancyBboxPatch` class is similar to :class:`Rectangle`
-    class, but it draws a fancy box around the rectangle. The
-    transformation of the rectangle box to the fancy box is delegated
-    to the :class:`BoxTransmuterBase` and its derived classes.
-
-    """
-
-    def __str__(self):
-        return self.__class__.__name__ \
-                           + "(%g,%g;%gx%g)" % (self._x, self._y,
-                                                self._width, self._height)
-
-    @docstring.dedent_interpd
-    def __init__(self, xy, width, height,
-                 boxstyle="round",
-                 bbox_transmuter=None,
-                 mutation_scale=1.,
-                 mutation_aspect=None,
-                 **kwargs):
-        """
-        *xy* = lower left corner
-
-        *width*, *height*
-
-        *boxstyle* determines what kind of fancy box will be drawn. It
-        can be a string of the style name with a comma separated
-        attribute, or an instance of :class:`BoxStyle`. Following box
-        styles are available.
-
-        %(AvailableBoxstyles)s
-
-        *mutation_scale* : a value with which attributes of boxstyle
-        (e.g., pad) will be scaled. default=1.
-
-        *mutation_aspect* : The height of the rectangle will be
-        squeezed by this value before the mutation and the mutated
-        box will be stretched by the inverse of it. default=None.
-
-        Valid kwargs are:
-        %(Patch)s
-        """
-
-        Patch.__init__(self, **kwargs)
-
-        self._x = xy[0]
-        self._y = xy[1]
-        self._width = width
-        self._height = height
-
-        if boxstyle == "custom":
-            if bbox_transmuter is None:
-                raise ValueError("bbox_transmuter argument is needed with "
-                                 "custom boxstyle")
-            self._bbox_transmuter = bbox_transmuter
-        else:
-            self.set_boxstyle(boxstyle)
-
-        self._mutation_scale = mutation_scale
-        self._mutation_aspect = mutation_aspect
-
-    @docstring.dedent_interpd
-    def set_boxstyle(self, boxstyle=None, **kw):
-        """
-        Set the box style.
-
-        *boxstyle* can be a string with boxstyle name with optional
-        comma-separated attributes. Alternatively, the attrs can
-        be provided as keywords::
-
-            set_boxstyle("round,pad=0.2")
-            set_boxstyle("round", pad=0.2)
-
-        Old attrs simply are forgotten.
-
-        Without argument (or with *boxstyle* = None), it returns
-        available box styles.
-
-        ACCEPTS: %(AvailableBoxstyles)s
-
-        """
-        if boxstyle is None:
-            return BoxStyle.pprint_styles()
-
-        if isinstance(boxstyle, BoxStyle._Base):
-            self._bbox_transmuter = boxstyle
-        elif six.callable(boxstyle):
-            self._bbox_transmuter = boxstyle
-        else:
-            self._bbox_transmuter = BoxStyle(boxstyle, **kw)
-
-    def set_mutation_scale(self, scale):
-        """
-        Set the mutation scale.
-
-        ACCEPTS: float
-        """
-        self._mutation_scale = scale
-
-    def get_mutation_scale(self):
-        """
-        Return the mutation scale.
-        """
-        return self._mutation_scale
-
-    def set_mutation_aspect(self, aspect):
-        """
-        Set the aspect ratio of the bbox mutation.
-
-        ACCEPTS: float
-        """
-        self._mutation_aspect = aspect
-
-    def get_mutation_aspect(self):
-        """
-        Return the aspect ratio of the bbox mutation.
-        """
-        return self._mutation_aspect
-
-    def get_boxstyle(self):
-        "Return the boxstyle object"
-        return self._bbox_transmuter
-
-    def get_path(self):
-        """
-        Return the mutated path of the rectangle
-        """
-
-        _path = self.get_boxstyle()(self._x, self._y,
-                                    self._width, self._height,
-                                    self.get_mutation_scale(),
-                                    self.get_mutation_aspect())
-        return _path
-
-    # Following methods are borrowed from the Rectangle class.
-
-    def get_x(self):
-        "Return the left coord of the rectangle"
-        return self._x
-
-    def get_y(self):
-        "Return the bottom coord of the rectangle"
-        return self._y
-
-    def get_width(self):
-        "Return the width of the  rectangle"
-        return self._width
-
-    def get_height(self):
-        "Return the height of the rectangle"
-        return self._height
-
-    def set_x(self, x):
-        """
-        Set the left coord of the rectangle
-
-        ACCEPTS: float
-        """
-        self._x = x
-
-    def set_y(self, y):
-        """
-        Set the bottom coord of the rectangle
-
-        ACCEPTS: float
-        """
-        self._y = y
-
-    def set_width(self, w):
-        """
-        Set the width rectangle
-
-        ACCEPTS: float
-        """
-        self._width = w
-
-    def set_height(self, h):
-        """
-        Set the width rectangle
-
-        ACCEPTS: float
-        """
-        self._height = h
-
-    def set_bounds(self, *args):
-        """
-        Set the bounds of the rectangle: l,b,w,h
-
-        ACCEPTS: (left, bottom, width, height)
-        """
-        if len(args) == 0:
-            l, b, w, h = args[0]
-        else:
-            l, b, w, h = args
-        self._x = l
-        self._y = b
-        self._width = w
-        self._height = h
-
-    def get_bbox(self):
-        return transforms.Bbox.from_bounds(self._x, self._y,
-                                           self._width, self._height)
-
-
-from matplotlib.bezier import split_bezier_intersecting_with_closedpath
-from matplotlib.bezier import get_intersection, inside_circle, get_parallels
-from matplotlib.bezier import make_wedged_bezier2
-from matplotlib.bezier import split_path_inout, get_cos_sin
-from matplotlib.bezier import make_path_regular, concatenate_paths
-
 
+@_docstring.interpd
 class ConnectionStyle(_Style):
     """
-    :class:`ConnectionStyle` is a container class which defines
+    `ConnectionStyle` is a container class which defines
     several connectionstyle classes, which is used to create a path
-    between two points. These are mainly used with
-    :class:`FancyArrowPatch`.
+    between two points.  These are mainly used with `FancyArrowPatch`.
 
     A connectionstyle object can be either created as::
 
@@ -2553,132 +2786,89 @@ class ConnectionStyle(_Style):
 
     The following classes are defined
 
-    %(AvailableConnectorstyles)s
+    %(ConnectionStyle:table)s
 
-
-    An instance of any connection style class is an callable object,
+    An instance of any connection style class is a callable object,
     whose call signature is::
 
         __call__(self, posA, posB,
                  patchA=None, patchB=None,
                  shrinkA=2., shrinkB=2.)
 
-    and it returns a :class:`Path` instance. *posA* and *posB* are
-    tuples of x,y coordinates of the two points to be
+    and it returns a `.Path` instance. *posA* and *posB* are
+    tuples of (x, y) coordinates of the two points to be
     connected. *patchA* (or *patchB*) is given, the returned path is
     clipped so that it start (or end) from the boundary of the
     patch. The path is further shrunk by *shrinkA* (or *shrinkB*)
     which is given in points.
-
     """
 
     _style_list = {}
 
-    class _Base(object):
+    class _Base:
         """
-        A base class for connectionstyle classes. The dervided needs
-        to implement a *connect* methods whose call signature is::
+        A base class for connectionstyle classes. The subclass needs
+        to implement a *connect* method whose call signature is::
 
           connect(posA, posB)
 
         where posA and posB are tuples of x, y coordinates to be
-        connected.  The methods needs to return a path connecting two
-        points. This base class defines a __call__ method, and few
+        connected.  The method needs to return a path connecting two
+        points. This base class defines a __call__ method, and a few
         helper methods.
         """
-
-        class SimpleEvent:
-            def __init__(self, xy):
-                self.x, self.y = xy
-
-        def _clip(self, path, patchA, patchB):
+        def _in_patch(self, patch):
             """
-            Clip the path to the boundary of the patchA and patchB.
-            The starting point of the path needed to be inside of the
-            patchA and the end point inside the patch B. The *contains*
-            methods of each patch object is utilized to test if the point
-            is inside the path.
+            Return a predicate function testing whether a point *xy* is
+            contained in *patch*.
             """
+            return lambda xy: patch.contains(
+                SimpleNamespace(x=xy[0], y=xy[1]))[0]
 
-            if patchA:
-                def insideA(xy_display):
-                    xy_event = ConnectionStyle._Base.SimpleEvent(xy_display)
-                    return patchA.contains(xy_event)[0]
+        def _clip(self, path, in_start, in_stop):
+            """
+            Clip *path* at its start by the region where *in_start* returns
+            True, and at its stop by the region where *in_stop* returns True.
 
+            The original path is assumed to start in the *in_start* region and
+            to stop in the *in_stop* region.
+            """
+            if in_start:
                 try:
-                    left, right = split_path_inout(path, insideA)
-                except ValueError:
-                    right = path
-
-                path = right
-
-            if patchB:
-                def insideB(xy_display):
-                    xy_event = ConnectionStyle._Base.SimpleEvent(xy_display)
-                    return patchB.contains(xy_event)[0]
-
-                try:
-                    left, right = split_path_inout(path, insideB)
-                except ValueError:
-                    left = path
-
-                path = left
-
-            return path
-
-        def _shrink(self, path, shrinkA, shrinkB):
-            """
-            Shrink the path by fixed size (in points) with shrinkA and shrinkB
-            """
-            if shrinkA:
-                x, y = path.vertices[0]
-                insideA = inside_circle(x, y, shrinkA)
-
-                try:
-                    left, right = split_path_inout(path, insideA)
-                    path = right
+                    _, path = split_path_inout(path, in_start)
                 except ValueError:
                     pass
-
-            if shrinkB:
-                x, y = path.vertices[-1]
-                insideB = inside_circle(x, y, shrinkB)
-
+            if in_stop:
                 try:
-                    left, right = split_path_inout(path, insideB)
-                    path = left
+                    path, _ = split_path_inout(path, in_stop)
                 except ValueError:
                     pass
-
             return path
 
         def __call__(self, posA, posB,
                      shrinkA=2., shrinkB=2., patchA=None, patchB=None):
             """
-            Calls the *connect* method to create a path between *posA*
-             and *posB*. The path is clipped and shrinked.
+            Call the *connect* method to create a path between *posA* and
+            *posB*; then clip and shrink the path.
             """
-
             path = self.connect(posA, posB)
+            path = self._clip(
+                path,
+                self._in_patch(patchA) if patchA else None,
+                self._in_patch(patchB) if patchB else None,
+            )
+            path = self._clip(
+                path,
+                inside_circle(*path.vertices[0], shrinkA) if shrinkA else None,
+                inside_circle(*path.vertices[-1], shrinkB) if shrinkB else None
+            )
+            return path
 
-            clipped_path = self._clip(path, patchA, patchB)
-            shrinked_path = self._shrink(clipped_path, shrinkA, shrinkB)
-
-            return shrinked_path
-
-        def __reduce__(self):
-            # because we have decided to nest thes classes, we need to
-            # add some more information to allow instance pickling.
-            import matplotlib.cbook as cbook
-            return (cbook._NestedClassGetter(),
-                    (ConnectionStyle, self.__class__.__name__),
-                    self.__dict__
-                    )
-
+    @_register_style(_style_list)
     class Arc3(_Base):
         """
-        Creates a simple quadratic bezier curve between two
-        points. The curve is created so that the middle contol points
+        Creates a simple quadratic Bézier curve between two
+        points. The curve is created so that the middle control point
         (C1) is located at the same distance from the start (C0) and
         end points(C2) and the distance of the C1 to the line
         connecting C0-C2 is *rad* times the distance of C0-C2.
@@ -2686,8 +2876,10 @@ class Arc3(_Base):
 
         def __init__(self, rad=0.):
             """
-            *rad*
-              curvature of the curve.
+            Parameters
+            ----------
+            rad : float
+              Curvature of the curve.
             """
             self.rad = rad
 
@@ -2710,23 +2902,24 @@ def connect(self, posA, posB):
 
             return Path(vertices, codes)
 
-    _style_list["arc3"] = Arc3
-
+    @_register_style(_style_list)
     class Angle3(_Base):
         """
-        Creates a simple quadratic bezier curve between two
-        points. The middle control points is placed at the
-        intersecting point of two lines which crosses the start (or
-        end) point and has a angle of angleA (or angleB).
+        Creates a simple quadratic Bézier curve between two points. The middle
+        control point is placed at the intersecting point of two lines which
+        cross the start and end point, and have a slope of *angleA* and
+        *angleB*, respectively.
         """
 
         def __init__(self, angleA=90, angleB=0):
             """
-            *angleA*
-              starting angle of the path
+            Parameters
+            ----------
+            angleA : float
+              Starting angle of the path.
 
-            *angleB*
-              ending angle of the path
+            angleB : float
+              Ending angle of the path.
             """
 
             self.angleA = angleA
@@ -2736,10 +2929,10 @@ def connect(self, posA, posB):
             x1, y1 = posA
             x2, y2 = posB
 
-            cosA, sinA = math.cos(self.angleA / 180. * math.pi),\
-                         math.sin(self.angleA / 180. * math.pi),
-            cosB, sinB = math.cos(self.angleB / 180. * math.pi),\
-                         math.sin(self.angleB / 180. * math.pi),
+            cosA = math.cos(math.radians(self.angleA))
+            sinA = math.sin(math.radians(self.angleA))
+            cosB = math.cos(math.radians(self.angleB))
+            sinB = math.sin(math.radians(self.angleB))
 
             cx, cy = get_intersection(x1, y1, cosA, sinA,
                                       x2, y2, cosB, sinB)
@@ -2749,27 +2942,28 @@ def connect(self, posA, posB):
 
             return Path(vertices, codes)
 
-    _style_list["angle3"] = Angle3
-
+    @_register_style(_style_list)
     class Angle(_Base):
         """
-        Creates a picewise continuous quadratic bezier path between
-        two points. The path has a one passing-through point placed at
-        the intersecting point of two lines which crosses the start
-        (or end) point and has a angle of angleA (or angleB).  The
-        connecting edges are rounded with *rad*.
+        Creates a piecewise continuous quadratic Bézier path between two
+        points. The path has a one passing-through point placed at the
+        intersecting point of two lines which cross the start and end point,
+        and have a slope of *angleA* and *angleB*, respectively.
+        The connecting edges are rounded with *rad*.
         """
 
         def __init__(self, angleA=90, angleB=0, rad=0.):
             """
-            *angleA*
-              starting angle of the path
+            Parameters
+            ----------
+            angleA : float
+              Starting angle of the path.
 
-            *angleB*
-              ending angle of the path
+            angleB : float
+              Ending angle of the path.
 
-            *rad*
-              rounding radius of the edge
+            rad : float
+              Rounding radius of the edge.
             """
 
             self.angleA = angleA
@@ -2781,10 +2975,10 @@ def connect(self, posA, posB):
             x1, y1 = posA
             x2, y2 = posB
 
-            cosA, sinA = math.cos(self.angleA / 180. * math.pi),\
-                         math.sin(self.angleA / 180. * math.pi),
-            cosB, sinB = math.cos(self.angleB / 180. * math.pi),\
-                         math.sin(self.angleB / 180. * math.pi),
+            cosA = math.cos(math.radians(self.angleA))
+            sinA = math.sin(math.radians(self.angleA))
+            cosB = math.cos(math.radians(self.angleB))
+            sinB = math.sin(math.radians(self.angleB))
 
             cx, cy = get_intersection(x1, y1, cosA, sinA,
                                       x2, y2, cosB, sinB)
@@ -2797,10 +2991,10 @@ def connect(self, posA, posB):
                 codes.append(Path.LINETO)
             else:
                 dx1, dy1 = x1 - cx, y1 - cy
-                d1 = (dx1 ** 2 + dy1 ** 2) ** .5
+                d1 = np.hypot(dx1, dy1)
                 f1 = self.rad / d1
                 dx2, dy2 = x2 - cx, y2 - cy
-                d2 = (dx2 ** 2 + dy2 ** 2) ** .5
+                d2 = np.hypot(dx2, dy2)
                 f2 = self.rad / d2
                 vertices.extend([(cx + dx1 * f1, cy + dy1 * f1),
                                  (cx, cy),
@@ -2812,33 +3006,34 @@ def connect(self, posA, posB):
 
             return Path(vertices, codes)
 
-    _style_list["angle"] = Angle
-
+    @_register_style(_style_list)
     class Arc(_Base):
         """
-        Creates a picewise continuous quadratic bezier path between
-        two points. The path can have two passing-through points, a
-        point placed at the distance of armA and angle of angleA from
+        Creates a piecewise continuous quadratic Bézier path between two
+        points. The path can have two passing-through points, a
+        point placed at the distance of *armA* and angle of *angleA* from
         point A, another point with respect to point B. The edges are
         rounded with *rad*.
         """
 
         def __init__(self, angleA=0, angleB=0, armA=None, armB=None, rad=0.):
             """
-            *angleA* :
-              starting angle of the path
+            Parameters
+            ----------
+            angleA : float
+              Starting angle of the path.
 
-            *angleB* :
-              ending angle of the path
+            angleB : float
+              Ending angle of the path.
 
-            *armA* :
-              length of the starting arm
+            armA : float or None
+              Length of the starting arm.
 
-            *armB* :
-              length of the ending arm
+            armB : float or None
+              Length of the ending arm.
 
-            *rad* :
-              rounding radius of the edges
+            rad : float
+              Rounding radius of the edges.
             """
 
             self.angleA = angleA
@@ -2857,17 +3052,17 @@ def connect(self, posA, posB):
             codes = [Path.MOVETO]
 
             if self.armA:
-                cosA = math.cos(self.angleA / 180. * math.pi)
-                sinA = math.sin(self.angleA / 180. * math.pi)
-                #x_armA, y_armB
+                cosA = math.cos(math.radians(self.angleA))
+                sinA = math.sin(math.radians(self.angleA))
+                # x_armA, y_armB
                 d = self.armA - self.rad
                 rounded.append((x1 + d * cosA, y1 + d * sinA))
                 d = self.armA
                 rounded.append((x1 + d * cosA, y1 + d * sinA))
 
             if self.armB:
-                cosB = math.cos(self.angleB / 180. * math.pi)
-                sinB = math.sin(self.angleB / 180. * math.pi)
+                cosB = math.cos(math.radians(self.angleB))
+                sinB = math.sin(math.radians(self.angleB))
                 x_armB, y_armB = x2 + self.armB * cosB, y2 + self.armB * sinB
 
                 if rounded:
@@ -2907,27 +3102,31 @@ def connect(self, posA, posB):
 
             return Path(vertices, codes)
 
-    _style_list["arc"] = Arc
-
+    @_register_style(_style_list)
     class Bar(_Base):
         """
-        A line with *angle* between A and B with *armA* and
-        *armB*. One of the arm is extend so that they are connected in
-        a right angle. The length of armA is determined by (*armA*
-        + *fraction* x AB distance). Same for armB.
+        A line with *angle* between A and B with *armA* and *armB*. One of the
+        arms is extended so that they are connected in a right angle. The
+        length of *armA* is determined by (*armA* + *fraction* x AB distance).
+        Same for *armB*.
         """
 
         def __init__(self, armA=0., armB=0., fraction=0.3, angle=None):
             """
-            *armA* : minimum length of armA
+            Parameters
+            ----------
+            armA : float
+                Minimum length of armA.
 
-            *armB* : minimum length of armB
+            armB : float
+                Minimum length of armB.
 
-            *fraction* : a fraction of the distance between two points that
-                         will be added to armA and armB.
+            fraction : float
+                A fraction of the distance between two points that will be
+                added to armA and armB.
 
-            *angle* : angle of the connecting line (if None, parallel to A
-                      and B)
+            angle : float or None
+                Angle of the connecting line (if None, parallel to A and B).
             """
             self.armA = armA
             self.armB = armB
@@ -2938,8 +3137,6 @@ def connect(self, posA, posB):
             x1, y1 = posA
             x20, y20 = x2, y2 = posB
 
-            x12, y12 = (x1 + x2) / 2., (y1 + y2) / 2.
-
             theta1 = math.atan2(y2 - y1, x2 - x1)
             dx, dy = x2 - x1, y2 - y1
             dd = (dx * dx + dy * dy) ** .5
@@ -2948,20 +3145,11 @@ def connect(self, posA, posB):
             armA, armB = self.armA, self.armB
 
             if self.angle is not None:
-                #angle = self.angle % 180.
-                #if angle < 0. or angle > 180.:
-                #    angle
-                #theta0 = (self.angle%180.)/180.*math.pi
-                theta0 = self.angle / 180. * math.pi
-                #theta0 = (((self.angle+90)%180.)  - 90.)/180.*math.pi
+                theta0 = np.deg2rad(self.angle)
                 dtheta = theta1 - theta0
                 dl = dd * math.sin(dtheta)
-
                 dL = dd * math.cos(dtheta)
-
-                #x2, y2 = x2 + dl*ddy, y2 - dl*ddx
                 x2, y2 = x1 + dL * math.cos(theta0), y1 + dL * math.sin(theta0)
-
                 armB = armB - dl
 
                 # update
@@ -2969,17 +3157,8 @@ def connect(self, posA, posB):
                 dd2 = (dx * dx + dy * dy) ** .5
                 ddx, ddy = dx / dd2, dy / dd2
 
-            else:
-                dl = 0.
-
-            #if armA > armB:
-            #    armB = armA + dl
-            #else:
-            #    armA = armB - dl
-
             arm = max(armA, armB)
             f = self.fraction * dd + arm
-            #fB = self.fraction*dd + armB
 
             cx1, cy1 = x1 + f * ddy, y1 - f * ddx
             cx2, cy2 = x2 + f * ddy, y2 - f * ddx
@@ -2995,17 +3174,11 @@ def connect(self, posA, posB):
 
             return Path(vertices, codes)
 
-    _style_list["bar"] = Bar
-
-    if __doc__:
-        __doc__ = cbook.dedent(__doc__) % \
-               {"AvailableConnectorstyles": _pprint_styles(_style_list)}
-
 
 def _point_along_a_line(x0, y0, x1, y1, d):
     """
-    find a point along a line connecting (x0, y0) -- (x1, y1) whose
-    distance from (x0, y0) is d.
+    Return the point on the line connecting (*x0*, *y0*) -- (*x1*, *y1*) whose
+    distance from (*x0*, *y0*) is *d*.
     """
     dx, dy = x0 - x1, y0 - y1
     ff = d / (dx * dx + dy * dy) ** .5
@@ -3014,13 +3187,14 @@ def _point_along_a_line(x0, y0, x1, y1, d):
     return x2, y2
 
 
+@_docstring.interpd
 class ArrowStyle(_Style):
     """
-    :class:`ArrowStyle` is a container class which defines several
+    `ArrowStyle` is a container class which defines several
     arrowstyle classes, which is used to create an arrow path along a
-    given path. These are mainly used with :class:`FancyArrowPatch`.
+    given path.  These are mainly used with `FancyArrowPatch`.
 
-    A arrowstyle object can be either created as::
+    An arrowstyle object can be either created as::
 
            ArrowStyle.Fancy(head_length=.4, head_width=.4, tail_width=.4)
 
@@ -3034,28 +3208,36 @@ class ArrowStyle(_Style):
 
     The following classes are defined
 
-    %(AvailableArrowstyles)s
+    %(ArrowStyle:table)s
 
+    For an overview of the visual appearance, see
+    :doc:`/gallery/text_labels_and_annotations/fancyarrow_demo`.
 
-    An instance of any arrow style class is an callable object,
+    An instance of any arrow style class is a callable object,
     whose call signature is::
 
         __call__(self, path, mutation_size, linewidth, aspect_ratio=1.)
 
-    and it returns a tuple of a :class:`Path` instance and a boolean
-    value. *path* is a :class:`Path` instance along witch the arrow
-    will be drawn. *mutation_size* and *aspect_ratio* has a same
-    meaning as in :class:`BoxStyle`. *linewidth* is a line width to be
+    and it returns a tuple of a `.Path` instance and a boolean
+    value. *path* is a `.Path` instance along which the arrow
+    will be drawn. *mutation_size* and *aspect_ratio* have the same
+    meaning as in `BoxStyle`. *linewidth* is a line width to be
     stroked. This is meant to be used to correct the location of the
     head so that it does not overshoot the destination point, but not all
     classes support it.
 
-    .. plot:: mpl_examples/pylab_examples/fancyarrow_demo.py
+    Notes
+    -----
+    *angleA* and *angleB* specify the orientation of the bracket, as either a
+    clockwise or counterclockwise angle depending on the arrow type. 0 degrees
+    means perpendicular to the line connecting the arrow's head and tail.
+
+    .. plot:: gallery/text_labels_and_annotations/angles_on_bracket_arrows.py
     """
 
     _style_list = {}
 
-    class _Base(object):
+    class _Base:
         """
         Arrow Transmuter Base class
 
@@ -3065,133 +3247,163 @@ class _Base(object):
         value indicating the path is open therefore is not fillable.  This
         class is not an artist and actual drawing of the fancy arrow is
         done by the FancyArrowPatch class.
-
         """
 
         # The derived classes are required to be able to be initialized
         # w/o arguments, i.e., all its argument (except self) must have
         # the default values.
 
-        def __init__(self):
-            super(ArrowStyle._Base, self).__init__()
-
         @staticmethod
         def ensure_quadratic_bezier(path):
-            """ Some ArrowStyle class only wokrs with a simple
-            quaratic bezier curve (created with Arc3Connetion or
-            Angle3Connector). This static method is to check if the
-            provided path is a simple quadratic bezier curve and returns
-            its control points if true.
+            """
+            Some ArrowStyle classes only works with a simple quadratic
+            Bézier curve (created with `.ConnectionStyle.Arc3` or
+            `.ConnectionStyle.Angle3`). This static method checks if the
+            provided path is a simple quadratic Bézier curve and returns its
+            control points if true.
             """
             segments = list(path.iter_segments())
-            assert len(segments) == 2
-
-            assert segments[0][1] == Path.MOVETO
-            assert segments[1][1] == Path.CURVE3
-
-            return list(segments[0][0]) + list(segments[1][0])
+            if (len(segments) != 2 or segments[0][1] != Path.MOVETO or
+                    segments[1][1] != Path.CURVE3):
+                raise ValueError(
+                    "'path' is not a valid quadratic Bezier curve")
+            return [*segments[0][0], *segments[1][0]]
 
         def transmute(self, path, mutation_size, linewidth):
             """
-            The transmute method is a very core of the ArrowStyle
-            class and must be overriden in the subclasses. It receives
-            the path object along which the arrow will be drawn, and
-            the mutation_size, with which the amount arrow head and
-            etc. will be scaled. The linewidth may be used to adjust
-            the the path so that it does not pass beyond the given
-            points. It returns a tuple of a Path instance and a
-            boolean. The boolean value indicate whether the path can
-            be filled or not. The return value can also be a list of paths
-            and list of booleans of a same length.
+            The transmute method is the very core of the ArrowStyle class and
+            must be overridden in the subclasses. It receives the *path*
+            object along which the arrow will be drawn, and the
+            *mutation_size*, with which the arrow head etc. will be scaled.
+            The *linewidth* may be used to adjust the path so that it does not
+            pass beyond the given points. It returns a tuple of a `.Path`
+            instance and a boolean. The boolean value indicate whether the
+            path can be filled or not. The return value can also be a list of
+            paths and list of booleans of the same length.
             """
-
             raise NotImplementedError('Derived must override')
 
         def __call__(self, path, mutation_size, linewidth,
                      aspect_ratio=1.):
             """
             The __call__ method is a thin wrapper around the transmute method
-            and take care of the aspect ratio.
+            and takes care of the aspect ratio.
             """
 
-            path = make_path_regular(path)
-
             if aspect_ratio is not None:
                 # Squeeze the given height by the aspect_ratio
-
-                vertices, codes = path.vertices[:], path.codes[:]
-                # Squeeze the height
-                vertices[:, 1] = vertices[:, 1] / aspect_ratio
-                path_shrinked = Path(vertices, codes)
+                vertices = path.vertices / [1, aspect_ratio]
+                path_shrunk = Path(vertices, path.codes)
                 # call transmute method with squeezed height.
-                path_mutated, fillable = self.transmute(path_shrinked,
-                                                        linewidth,
-                                                        mutation_size)
-                if cbook.iterable(fillable):
-                    path_list = []
-                    for p in zip(path_mutated):
-                        v, c = p.vertices, p.codes
-                        # Restore the height
-                        v[:, 1] = v[:, 1] * aspect_ratio
-                        path_list.append(Path(v, c))
+                path_mutated, fillable = self.transmute(path_shrunk,
+                                                        mutation_size,
+                                                        linewidth)
+                if np.iterable(fillable):
+                    # Restore the height
+                    path_list = [Path(p.vertices * [1, aspect_ratio], p.codes)
+                                 for p in path_mutated]
                     return path_list, fillable
                 else:
                     return path_mutated, fillable
             else:
                 return self.transmute(path, mutation_size, linewidth)
 
-        def __reduce__(self):
-            # because we have decided to nest thes classes, we need to
-            # add some more information to allow instance pickling.
-            import matplotlib.cbook as cbook
-            return (cbook._NestedClassGetter(),
-                    (ArrowStyle, self.__class__.__name__),
-                    self.__dict__
-                    )
-
     class _Curve(_Base):
         """
         A simple arrow which will work with any path instance. The
-        returned path is simply concatenation of the original path + at
-        most two paths representing the arrow head at the begin point and the
-        at the end point. The arrow heads can be either open or closed.
+        returned path is the concatenation of the original path, and at
+        most two paths representing the arrow head or bracket at the start
+        point and at the end point. The arrow heads can be either open
+        or closed.
         """
 
-        def __init__(self, beginarrow=None, endarrow=None,
-                     fillbegin=False, fillend=False,
-                     head_length=.2, head_width=.1):
+        arrow = "-"
+        fillbegin = fillend = False  # Whether arrows are filled.
+
+        def __init__(self, head_length=.4, head_width=.2, widthA=1., widthB=1.,
+                     lengthA=0.2, lengthB=0.2, angleA=0, angleB=0, scaleA=None,
+                     scaleB=None):
             """
-            The arrows are drawn if *beginarrow* and/or *endarrow* are
-            true. *head_length* and *head_width* determines the size
-            of the arrow relative to the *mutation scale*.  The
-            arrowhead at the begin (or end) is closed if fillbegin (or
-            fillend) is True.
+            Parameters
+            ----------
+            head_length : float, default: 0.4
+                Length of the arrow head, relative to *mutation_size*.
+            head_width : float, default: 0.2
+                Width of the arrow head, relative to *mutation_size*.
+            widthA, widthB : float, default: 1.0
+                Width of the bracket.
+            lengthA, lengthB : float, default: 0.2
+                Length of the bracket.
+            angleA, angleB : float, default: 0
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
+            scaleA, scaleB : float, default: *mutation_size*
+                The scale of the brackets.
             """
-            self.beginarrow, self.endarrow = beginarrow, endarrow
-            self.head_length, self.head_width = \
-                    head_length, head_width
-            self.fillbegin, self.fillend = fillbegin, fillend
-            super(ArrowStyle._Curve, self).__init__()
+
+            self.head_length, self.head_width = head_length, head_width
+            self.widthA, self.widthB = widthA, widthB
+            self.lengthA, self.lengthB = lengthA, lengthB
+            self.angleA, self.angleB = angleA, angleB
+            self.scaleA, self.scaleB = scaleA, scaleB
+
+            self._beginarrow_head = False
+            self._beginarrow_bracket = False
+            self._endarrow_head = False
+            self._endarrow_bracket = False
+
+            if "-" not in self.arrow:
+                raise ValueError("arrow must have the '-' between "
+                                 "the two heads")
+
+            beginarrow, endarrow = self.arrow.split("-", 1)
+
+            if beginarrow == "<":
+                self._beginarrow_head = True
+                self._beginarrow_bracket = False
+            elif beginarrow == "<|":
+                self._beginarrow_head = True
+                self._beginarrow_bracket = False
+                self.fillbegin = True
+            elif beginarrow in ("]", "|"):
+                self._beginarrow_head = False
+                self._beginarrow_bracket = True
+
+            if endarrow == ">":
+                self._endarrow_head = True
+                self._endarrow_bracket = False
+            elif endarrow == "|>":
+                self._endarrow_head = True
+                self._endarrow_bracket = False
+                self.fillend = True
+            elif endarrow in ("[", "|"):
+                self._endarrow_head = False
+                self._endarrow_bracket = True
+
+            super().__init__()
 
         def _get_arrow_wedge(self, x0, y0, x1, y1,
-                             head_dist, cos_t, sin_t, linewidth
-                            ):
+                             head_dist, cos_t, sin_t, linewidth):
             """
             Return the paths for arrow heads. Since arrow lines are
             drawn with capstyle=projected, The arrow goes beyond the
             desired point. This method also returns the amount of the path
-            to be shrinked so that it does not overshoot.
+            to be shrunken so that it does not overshoot.
             """
 
             # arrow from x0, y0 to x1, y1
-
             dx, dy = x0 - x1, y0 - y1
-            cp_distance = math.sqrt(dx ** 2 + dy ** 2)
+
+            cp_distance = np.hypot(dx, dy)
 
             # pad_projected : amount of pad to account the
             # overshooting of the projection of the wedge
             pad_projected = (.5 * linewidth / sin_t)
 
+            # Account for division by zero
+            if cp_distance == 0:
+                cp_distance = 1
+
             # apply pad for projected edge
             ddx = pad_projected * dx / cp_distance
             ddy = pad_projected * dy / cp_distance
@@ -3212,711 +3424,873 @@ def _get_arrow_wedge(self, x0, y0, x1, y1,
 
             return vertices_arrow, codes_arrow, ddx, ddy
 
+        def _get_bracket(self, x0, y0,
+                         x1, y1, width, length, angle):
+
+            cos_t, sin_t = get_cos_sin(x1, y1, x0, y0)
+
+            # arrow from x0, y0 to x1, y1
+            from matplotlib.bezier import get_normal_points
+            x1, y1, x2, y2 = get_normal_points(x0, y0, cos_t, sin_t, width)
+
+            dx, dy = length * cos_t, length * sin_t
+
+            vertices_arrow = [(x1 + dx, y1 + dy),
+                              (x1, y1),
+                              (x2, y2),
+                              (x2 + dx, y2 + dy)]
+            codes_arrow = [Path.MOVETO,
+                           Path.LINETO,
+                           Path.LINETO,
+                           Path.LINETO]
+
+            if angle:
+                trans = transforms.Affine2D().rotate_deg_around(x0, y0, angle)
+                vertices_arrow = trans.transform(vertices_arrow)
+
+            return vertices_arrow, codes_arrow
+
         def transmute(self, path, mutation_size, linewidth):
+            # docstring inherited
+            if self._beginarrow_head or self._endarrow_head:
+                head_length = self.head_length * mutation_size
+                head_width = self.head_width * mutation_size
+                head_dist = np.hypot(head_length, head_width)
+                cos_t, sin_t = head_length / head_dist, head_width / head_dist
 
-            head_length, head_width = self.head_length * mutation_size, \
-                                      self.head_width * mutation_size
-            head_dist = math.sqrt(head_length ** 2 + head_width ** 2)
-            cos_t, sin_t = head_length / head_dist, head_width / head_dist
+            scaleA = mutation_size if self.scaleA is None else self.scaleA
+            scaleB = mutation_size if self.scaleB is None else self.scaleB
 
             # begin arrow
             x0, y0 = path.vertices[0]
             x1, y1 = path.vertices[1]
 
-            if self.beginarrow:
-                verticesA, codesA, ddxA, ddyA = \
-                           self._get_arrow_wedge(x1, y1, x0, y0,
-                                                 head_dist, cos_t, sin_t,
-                                                 linewidth)
-            else:
-                verticesA, codesA = [], []
-                ddxA, ddyA = 0., 0.
+            # If there is no room for an arrow and a line, then skip the arrow
+            has_begin_arrow = self._beginarrow_head and (x0, y0) != (x1, y1)
+            verticesA, codesA, ddxA, ddyA = (
+                self._get_arrow_wedge(x1, y1, x0, y0,
+                                      head_dist, cos_t, sin_t, linewidth)
+                if has_begin_arrow
+                else ([], [], 0, 0)
+            )
 
             # end arrow
             x2, y2 = path.vertices[-2]
             x3, y3 = path.vertices[-1]
 
-            if self.endarrow:
-                verticesB, codesB, ddxB, ddyB = \
-                           self._get_arrow_wedge(x2, y2, x3, y3,
-                                                 head_dist, cos_t, sin_t,
-                                                 linewidth)
-            else:
-                verticesB, codesB = [], []
-                ddxB, ddyB = 0., 0.
-
-            # this simple code will not work if ddx, ddy is greater than
-            # separation bettern vertices.
-            _path = [Path(np.concatenate([[(x0 + ddxA, y0 + ddyA)],
+            # If there is no room for an arrow and a line, then skip the arrow
+            has_end_arrow = self._endarrow_head and (x2, y2) != (x3, y3)
+            verticesB, codesB, ddxB, ddyB = (
+                self._get_arrow_wedge(x2, y2, x3, y3,
+                                      head_dist, cos_t, sin_t, linewidth)
+                if has_end_arrow
+                else ([], [], 0, 0)
+            )
+
+            # This simple code will not work if ddx, ddy is greater than the
+            # separation between vertices.
+            paths = [Path(np.concatenate([[(x0 + ddxA, y0 + ddyA)],
                                           path.vertices[1:-1],
                                           [(x3 + ddxB, y3 + ddyB)]]),
                           path.codes)]
-            _fillable = [False]
+            fills = [False]
 
-            if self.beginarrow:
+            if has_begin_arrow:
                 if self.fillbegin:
-                    p = np.concatenate([verticesA, [verticesA[0],
-                                                    verticesA[0]], ])
-                    c = np.concatenate([codesA, [Path.LINETO, Path.CLOSEPOLY]])
-                    _path.append(Path(p, c))
-                    _fillable.append(True)
+                    paths.append(
+                        Path([*verticesA, (0, 0)], [*codesA, Path.CLOSEPOLY]))
+                    fills.append(True)
                 else:
-                    _path.append(Path(verticesA, codesA))
-                    _fillable.append(False)
+                    paths.append(Path(verticesA, codesA))
+                    fills.append(False)
+            elif self._beginarrow_bracket:
+                x0, y0 = path.vertices[0]
+                x1, y1 = path.vertices[1]
+                verticesA, codesA = self._get_bracket(x0, y0, x1, y1,
+                                                      self.widthA * scaleA,
+                                                      self.lengthA * scaleA,
+                                                      self.angleA)
+
+                paths.append(Path(verticesA, codesA))
+                fills.append(False)
 
-            if self.endarrow:
+            if has_end_arrow:
                 if self.fillend:
-                    _fillable.append(True)
-                    p = np.concatenate([verticesB, [verticesB[0],
-                                                    verticesB[0]], ])
-                    c = np.concatenate([codesB, [Path.LINETO, Path.CLOSEPOLY]])
-                    _path.append(Path(p, c))
+                    fills.append(True)
+                    paths.append(
+                        Path([*verticesB, (0, 0)], [*codesB, Path.CLOSEPOLY]))
                 else:
-                    _fillable.append(False)
-                    _path.append(Path(verticesB, codesB))
+                    fills.append(False)
+                    paths.append(Path(verticesB, codesB))
+            elif self._endarrow_bracket:
+                x0, y0 = path.vertices[-1]
+                x1, y1 = path.vertices[-2]
+                verticesB, codesB = self._get_bracket(x0, y0, x1, y1,
+                                                      self.widthB * scaleB,
+                                                      self.lengthB * scaleB,
+                                                      self.angleB)
 
-            return _path, _fillable
+                paths.append(Path(verticesB, codesB))
+                fills.append(False)
 
-    class Curve(_Curve):
-        """
-        A simple curve without any arrow head.
-        """
+            return paths, fills
 
-        def __init__(self):
-            super(ArrowStyle.Curve, self).__init__(
-                beginarrow=False, endarrow=False)
+    @_register_style(_style_list, name="-")
+    class Curve(_Curve):
+        """A simple curve without any arrow head."""
 
-    _style_list["-"] = Curve
+        def __init__(self):  # hide head_length, head_width
+            # These attributes (whose values come from backcompat) only matter
+            # if someone modifies beginarrow/etc. on an ArrowStyle instance.
+            super().__init__(head_length=.2, head_width=.1)
 
+    @_register_style(_style_list, name="<-")
     class CurveA(_Curve):
-        """
-        An arrow with a head at its begin point.
-        """
+        """An arrow with a head at its start point."""
+        arrow = "<-"
 
-        def __init__(self, head_length=.4, head_width=.2):
-            """
-            *head_length*
-              length of the arrow head
+    @_register_style(_style_list, name="->")
+    class CurveB(_Curve):
+        """An arrow with a head at its end point."""
+        arrow = "->"
 
-            *head_width*
-              width of the arrow head
-            """
+    @_register_style(_style_list, name="<->")
+    class CurveAB(_Curve):
+        """An arrow with heads both at the start and the end point."""
+        arrow = "<->"
 
-            super(ArrowStyle.CurveA, self).__init__(
-                  beginarrow=True, endarrow=False,
-                  head_length=head_length, head_width=head_width)
+    @_register_style(_style_list, name="<|-")
+    class CurveFilledA(_Curve):
+        """An arrow with filled triangle head at the start."""
+        arrow = "<|-"
 
-    _style_list["<-"] = CurveA
+    @_register_style(_style_list, name="-|>")
+    class CurveFilledB(_Curve):
+        """An arrow with filled triangle head at the end."""
+        arrow = "-|>"
 
-    class CurveB(_Curve):
-        """
-        An arrow with a head at its end point.
-        """
+    @_register_style(_style_list, name="<|-|>")
+    class CurveFilledAB(_Curve):
+        """An arrow with filled triangle heads at both ends."""
+        arrow = "<|-|>"
 
-        def __init__(self, head_length=.4, head_width=.2):
-            """
-            *head_length*
-              length of the arrow head
+    @_register_style(_style_list, name="]-")
+    class BracketA(_Curve):
+        """An arrow with an outward square bracket at its start."""
+        arrow = "]-"
 
-            *head_width*
-              width of the arrow head
+        def __init__(self, widthA=1., lengthA=0.2, angleA=0):
+            """
+            Parameters
+            ----------
+            widthA : float, default: 1.0
+                Width of the bracket.
+            lengthA : float, default: 0.2
+                Length of the bracket.
+            angleA : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
             """
+            super().__init__(widthA=widthA, lengthA=lengthA, angleA=angleA)
 
-            super(ArrowStyle.CurveB, self).__init__(
-                beginarrow=False, endarrow=True,
-                head_length=head_length, head_width=head_width)
+    @_register_style(_style_list, name="-[")
+    class BracketB(_Curve):
+        """An arrow with an outward square bracket at its end."""
+        arrow = "-["
 
-    _style_list["->"] = CurveB
+        def __init__(self, widthB=1., lengthB=0.2, angleB=0):
+            """
+            Parameters
+            ----------
+            widthB : float, default: 1.0
+                Width of the bracket.
+            lengthB : float, default: 0.2
+                Length of the bracket.
+            angleB : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
+            """
+            super().__init__(widthB=widthB, lengthB=lengthB, angleB=angleB)
 
-    class CurveAB(_Curve):
-        """
-        An arrow with heads both at the begin and the end point.
-        """
+    @_register_style(_style_list, name="]-[")
+    class BracketAB(_Curve):
+        """An arrow with outward square brackets at both ends."""
+        arrow = "]-["
 
-        def __init__(self, head_length=.4, head_width=.2):
+        def __init__(self,
+                     widthA=1., lengthA=0.2, angleA=0,
+                     widthB=1., lengthB=0.2, angleB=0):
             """
-            *head_length*
-              length of the arrow head
-
-            *head_width*
-              width of the arrow head
+            Parameters
+            ----------
+            widthA, widthB : float, default: 1.0
+                Width of the bracket.
+            lengthA, lengthB : float, default: 0.2
+                Length of the bracket.
+            angleA, angleB : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
             """
+            super().__init__(widthA=widthA, lengthA=lengthA, angleA=angleA,
+                             widthB=widthB, lengthB=lengthB, angleB=angleB)
 
-            super(ArrowStyle.CurveAB, self).__init__(
-                beginarrow=True, endarrow=True,
-                head_length=head_length, head_width=head_width)
+    @_register_style(_style_list, name="|-|")
+    class BarAB(_Curve):
+        """An arrow with vertical bars ``|`` at both ends."""
+        arrow = "|-|"
 
-    _style_list["<->"] = CurveAB
+        def __init__(self, widthA=1., angleA=0, widthB=1., angleB=0):
+            """
+            Parameters
+            ----------
+            widthA, widthB : float, default: 1.0
+                Width of the bracket.
+            angleA, angleB : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
+            """
+            super().__init__(widthA=widthA, lengthA=0, angleA=angleA,
+                             widthB=widthB, lengthB=0, angleB=angleB)
 
-    class CurveFilledA(_Curve):
+    @_register_style(_style_list, name=']->')
+    class BracketCurve(_Curve):
         """
-        An arrow with filled triangle head at the begin.
+        An arrow with an outward square bracket at its start and a head at
+        the end.
         """
+        arrow = "]->"
 
-        def __init__(self, head_length=.4, head_width=.2):
+        def __init__(self, widthA=1., lengthA=0.2, angleA=None):
             """
-            *head_length*
-              length of the arrow head
-
-            *head_width*
-              width of the arrow head
+            Parameters
+            ----------
+            widthA : float, default: 1.0
+                Width of the bracket.
+            lengthA : float, default: 0.2
+                Length of the bracket.
+            angleA : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
             """
+            super().__init__(widthA=widthA, lengthA=lengthA, angleA=angleA)
 
-            super(ArrowStyle.CurveFilledA, self).__init__(
-                beginarrow=True, endarrow=False,
-                fillbegin=True, fillend=False,
-                head_length=head_length, head_width=head_width)
-
-    _style_list["<|-"] = CurveFilledA
-
-    class CurveFilledB(_Curve):
+    @_register_style(_style_list, name='<-[')
+    class CurveBracket(_Curve):
         """
-        An arrow with filled triangle head at the end.
+        An arrow with an outward square bracket at its end and a head at
+        the start.
         """
+        arrow = "<-["
 
-        def __init__(self, head_length=.4, head_width=.2):
+        def __init__(self, widthB=1., lengthB=0.2, angleB=None):
             """
-            *head_length*
-              length of the arrow head
-
-            *head_width*
-              width of the arrow head
+            Parameters
+            ----------
+            widthB : float, default: 1.0
+                Width of the bracket.
+            lengthB : float, default: 0.2
+                Length of the bracket.
+            angleB : float, default: 0 degrees
+                Orientation of the bracket, as a counterclockwise angle.
+                0 degrees means perpendicular to the line.
             """
+            super().__init__(widthB=widthB, lengthB=lengthB, angleB=angleB)
 
-            super(ArrowStyle.CurveFilledB, self).__init__(
-                beginarrow=False, endarrow=True,
-                fillbegin=False, fillend=True,
-                head_length=head_length, head_width=head_width)
+    @_register_style(_style_list)
+    class Simple(_Base):
+        """A simple arrow. Only works with a quadratic Bézier curve."""
 
-    _style_list["-|>"] = CurveFilledB
+        def __init__(self, head_length=.5, head_width=.5, tail_width=.2):
+            """
+            Parameters
+            ----------
+            head_length : float, default: 0.5
+                Length of the arrow head.
 
-    class CurveFilledAB(_Curve):
-        """
-        An arrow with filled triangle heads both at the begin and the end
-        point.
-        """
+            head_width : float, default: 0.5
+                Width of the arrow head.
 
-        def __init__(self, head_length=.4, head_width=.2):
+            tail_width : float, default: 0.2
+                Width of the arrow tail.
             """
-            *head_length*
-              length of the arrow head
+            self.head_length, self.head_width, self.tail_width = \
+                head_length, head_width, tail_width
+            super().__init__()
 
-            *head_width*
-              width of the arrow head
-            """
+        def transmute(self, path, mutation_size, linewidth):
+            # docstring inherited
+            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
 
-            super(ArrowStyle.CurveFilledAB, self).__init__(
-                beginarrow=True, endarrow=True,
-                fillbegin=True, fillend=True,
-                head_length=head_length, head_width=head_width)
+            # divide the path into a head and a tail
+            head_length = self.head_length * mutation_size
+            in_f = inside_circle(x2, y2, head_length)
+            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
 
-    _style_list["<|-|>"] = CurveFilledAB
+            try:
+                arrow_out, arrow_in = \
+                    split_bezier_intersecting_with_closedpath(arrow_path, in_f)
+            except NonIntersectingPathException:
+                # if this happens, make a straight line of the head_length
+                # long.
+                x0, y0 = _point_along_a_line(x2, y2, x1, y1, head_length)
+                x1n, y1n = 0.5 * (x0 + x2), 0.5 * (y0 + y2)
+                arrow_in = [(x0, y0), (x1n, y1n), (x2, y2)]
+                arrow_out = None
 
-    class _Bracket(_Base):
+            # head
+            head_width = self.head_width * mutation_size
+            head_left, head_right = make_wedged_bezier2(arrow_in,
+                                                        head_width / 2., wm=.5)
 
-        def __init__(self, bracketA=None, bracketB=None,
-                     widthA=1., widthB=1.,
-                     lengthA=0.2, lengthB=0.2,
-                     angleA=None, angleB=None,
-                     scaleA=None, scaleB=None
-                    ):
-            self.bracketA, self.bracketB = bracketA, bracketB
-            self.widthA, self.widthB = widthA, widthB
-            self.lengthA, self.lengthB = lengthA, lengthB
-            self.angleA, self.angleB = angleA, angleB
-            self.scaleA, self.scaleB = scaleA, scaleB
+            # tail
+            if arrow_out is not None:
+                tail_width = self.tail_width * mutation_size
+                tail_left, tail_right = get_parallels(arrow_out,
+                                                      tail_width / 2.)
 
-        def _get_bracket(self, x0, y0,
-                         cos_t, sin_t, width, length,
-                        ):
+                patch_path = [(Path.MOVETO, tail_right[0]),
+                              (Path.CURVE3, tail_right[1]),
+                              (Path.CURVE3, tail_right[2]),
+                              (Path.LINETO, head_right[0]),
+                              (Path.CURVE3, head_right[1]),
+                              (Path.CURVE3, head_right[2]),
+                              (Path.CURVE3, head_left[1]),
+                              (Path.CURVE3, head_left[0]),
+                              (Path.LINETO, tail_left[2]),
+                              (Path.CURVE3, tail_left[1]),
+                              (Path.CURVE3, tail_left[0]),
+                              (Path.LINETO, tail_right[0]),
+                              (Path.CLOSEPOLY, tail_right[0]),
+                              ]
+            else:
+                patch_path = [(Path.MOVETO, head_right[0]),
+                              (Path.CURVE3, head_right[1]),
+                              (Path.CURVE3, head_right[2]),
+                              (Path.CURVE3, head_left[1]),
+                              (Path.CURVE3, head_left[0]),
+                              (Path.CLOSEPOLY, head_left[0]),
+                              ]
 
-            # arrow from x0, y0 to x1, y1
-            from matplotlib.bezier import get_normal_points
-            x1, y1, x2, y2 = get_normal_points(x0, y0, cos_t, sin_t, width)
+            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
 
-            dx, dy = length * cos_t, length * sin_t
+            return path, True
 
-            vertices_arrow = [(x1 + dx, y1 + dy),
-                              (x1, y1),
-                              (x2, y2),
-                              (x2 + dx, y2 + dy)]
-            codes_arrow = [Path.MOVETO,
-                           Path.LINETO,
-                           Path.LINETO,
-                           Path.LINETO]
+    @_register_style(_style_list)
+    class Fancy(_Base):
+        """A fancy arrow. Only works with a quadratic Bézier curve."""
 
-            return vertices_arrow, codes_arrow
+        def __init__(self, head_length=.4, head_width=.4, tail_width=.4):
+            """
+            Parameters
+            ----------
+            head_length : float, default: 0.4
+                Length of the arrow head.
+
+            head_width : float, default: 0.4
+                Width of the arrow head.
+
+            tail_width : float, default: 0.4
+                Width of the arrow tail.
+            """
+            self.head_length, self.head_width, self.tail_width = \
+                head_length, head_width, tail_width
+            super().__init__()
 
         def transmute(self, path, mutation_size, linewidth):
+            # docstring inherited
+            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
 
-            if self.scaleA is None:
-                scaleA = mutation_size
-            else:
-                scaleA = self.scaleA
+            # divide the path into a head and a tail
+            head_length = self.head_length * mutation_size
+            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
 
-            if self.scaleB is None:
-                scaleB = mutation_size
+            # path for head
+            in_f = inside_circle(x2, y2, head_length)
+            try:
+                path_out, path_in = split_bezier_intersecting_with_closedpath(
+                    arrow_path, in_f)
+            except NonIntersectingPathException:
+                # if this happens, make a straight line of the head_length
+                # long.
+                x0, y0 = _point_along_a_line(x2, y2, x1, y1, head_length)
+                x1n, y1n = 0.5 * (x0 + x2), 0.5 * (y0 + y2)
+                arrow_path = [(x0, y0), (x1n, y1n), (x2, y2)]
+                path_head = arrow_path
             else:
-                scaleB = self.scaleB
-
-            vertices_list, codes_list = [], []
+                path_head = path_in
 
-            if self.bracketA:
-                x0, y0 = path.vertices[0]
-                x1, y1 = path.vertices[1]
-                cos_t, sin_t = get_cos_sin(x1, y1, x0, y0)
-                verticesA, codesA = self._get_bracket(x0, y0, cos_t, sin_t,
-                                                      self.widthA * scaleA,
-                                                      self.lengthA * scaleA)
-                vertices_list.append(verticesA)
-                codes_list.append(codesA)
+            # path for head
+            in_f = inside_circle(x2, y2, head_length * .8)
+            path_out, path_in = split_bezier_intersecting_with_closedpath(
+                arrow_path, in_f)
+            path_tail = path_out
 
-            vertices_list.append(path.vertices)
-            codes_list.append(path.codes)
+            # head
+            head_width = self.head_width * mutation_size
+            head_l, head_r = make_wedged_bezier2(path_head,
+                                                 head_width / 2.,
+                                                 wm=.6)
 
-            if self.bracketB:
-                x0, y0 = path.vertices[-1]
-                x1, y1 = path.vertices[-2]
-                cos_t, sin_t = get_cos_sin(x1, y1, x0, y0)
-                verticesB, codesB = self._get_bracket(x0, y0, cos_t, sin_t,
-                                                      self.widthB * scaleB,
-                                                      self.lengthB * scaleB)
-                vertices_list.append(verticesB)
-                codes_list.append(codesB)
+            # tail
+            tail_width = self.tail_width * mutation_size
+            tail_left, tail_right = make_wedged_bezier2(path_tail,
+                                                        tail_width * .5,
+                                                        w1=1., wm=0.6, w2=0.3)
 
-            vertices = np.concatenate(vertices_list)
-            codes = np.concatenate(codes_list)
+            # path for head
+            in_f = inside_circle(x0, y0, tail_width * .3)
+            path_in, path_out = split_bezier_intersecting_with_closedpath(
+                arrow_path, in_f)
+            tail_start = path_in[-1]
 
-            p = Path(vertices, codes)
+            head_right, head_left = head_r, head_l
+            patch_path = [(Path.MOVETO, tail_start),
+                          (Path.LINETO, tail_right[0]),
+                          (Path.CURVE3, tail_right[1]),
+                          (Path.CURVE3, tail_right[2]),
+                          (Path.LINETO, head_right[0]),
+                          (Path.CURVE3, head_right[1]),
+                          (Path.CURVE3, head_right[2]),
+                          (Path.CURVE3, head_left[1]),
+                          (Path.CURVE3, head_left[0]),
+                          (Path.LINETO, tail_left[2]),
+                          (Path.CURVE3, tail_left[1]),
+                          (Path.CURVE3, tail_left[0]),
+                          (Path.LINETO, tail_start),
+                          (Path.CLOSEPOLY, tail_start),
+                          ]
+            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
 
-            return p, False
+            return path, True
 
-    class BracketAB(_Bracket):
+    @_register_style(_style_list)
+    class Wedge(_Base):
         """
-        An arrow with a bracket(])  at both ends.
+        Wedge(?) shape. Only works with a quadratic Bézier curve.  The
+        start point has a width of the *tail_width* and the end point has a
+        width of 0. At the middle, the width is *shrink_factor*x*tail_width*.
         """
 
-        def __init__(self,
-                     widthA=1., lengthA=0.2, angleA=None,
-                     widthB=1., lengthB=0.2, angleB=None):
+        def __init__(self, tail_width=.3, shrink_factor=0.5):
             """
-            *widthA*
-              width of the bracket
+            Parameters
+            ----------
+            tail_width : float, default: 0.3
+                Width of the tail.
 
-            *lengthA*
-              length of the bracket
+            shrink_factor : float, default: 0.5
+                Fraction of the arrow width at the middle point.
+            """
+            self.tail_width = tail_width
+            self.shrink_factor = shrink_factor
+            super().__init__()
 
-            *angleA*
-              angle between the bracket and the line
+        def transmute(self, path, mutation_size, linewidth):
+            # docstring inherited
+            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
 
-            *widthB*
-              width of the bracket
+            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
+            b_plus, b_minus = make_wedged_bezier2(
+                                    arrow_path,
+                                    self.tail_width * mutation_size / 2.,
+                                    wm=self.shrink_factor)
 
-            *lengthB*
-              length of the bracket
+            patch_path = [(Path.MOVETO, b_plus[0]),
+                          (Path.CURVE3, b_plus[1]),
+                          (Path.CURVE3, b_plus[2]),
+                          (Path.LINETO, b_minus[2]),
+                          (Path.CURVE3, b_minus[1]),
+                          (Path.CURVE3, b_minus[0]),
+                          (Path.CLOSEPOLY, b_minus[0]),
+                          ]
+            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
 
-            *angleB*
-              angle between the bracket and the line
-            """
+            return path, True
 
-            super(ArrowStyle.BracketAB, self).__init__(
-                        True, True, widthA=widthA, lengthA=lengthA,
-                        angleA=angleA, widthB=widthB, lengthB=lengthB,
-                        angleB=angleB)
 
-    _style_list["]-["] = BracketAB
+class FancyBboxPatch(Patch):
+    """
+    A fancy box around a rectangle with lower left at *xy* = (*x*, *y*)
+    with specified width and height.
 
-    class BracketA(_Bracket):
-        """
-        An arrow with a bracket(])  at its end.
-        """
+    `.FancyBboxPatch` is similar to `.Rectangle`, but it draws a fancy box
+    around the rectangle. The transformation of the rectangle box to the
+    fancy box is delegated to the style classes defined in `.BoxStyle`.
+    """
 
-        def __init__(self, widthA=1., lengthA=0.2, angleA=None):
-            """
-            *widthA*
-              width of the bracket
+    _edge_default = True
 
-            *lengthA*
-              length of the bracket
+    def __str__(self):
+        s = self.__class__.__name__ + "((%g, %g), width=%g, height=%g)"
+        return s % (self._x, self._y, self._width, self._height)
 
-            *angleA*
-              angle between the bracket and the line
-            """
+    @_docstring.interpd
+    def __init__(self, xy, width, height, boxstyle="round", *,
+                 mutation_scale=1, mutation_aspect=1, **kwargs):
+        """
+        Parameters
+        ----------
+        xy : (float, float)
+          The lower left corner of the box.
 
-            super(ArrowStyle.BracketA, self).__init__(True, None,
-                     widthA=widthA, lengthA=lengthA, angleA=angleA)
+        width : float
+            The width of the box.
 
-    _style_list["]-"] = BracketA
+        height : float
+            The height of the box.
 
-    class BracketB(_Bracket):
-        """
-        An arrow with a bracket([)  at its end.
-        """
+        boxstyle : str or `~matplotlib.patches.BoxStyle`
+            The style of the fancy box. This can either be a `.BoxStyle`
+            instance or a string of the style name and optionally comma
+            separated attributes (e.g. "Round, pad=0.2"). This string is
+            passed to `.BoxStyle` to construct a `.BoxStyle` object. See
+            there for a full documentation.
 
-        def __init__(self, widthB=1., lengthB=0.2, angleB=None):
-            """
-            *widthB*
-              width of the bracket
+            The following box styles are available:
 
-            *lengthB*
-              length of the bracket
+            %(BoxStyle:table)s
 
-            *angleB*
-              angle between the bracket and the line
-            """
+        mutation_scale : float, default: 1
+            Scaling factor applied to the attributes of the box style
+            (e.g. pad or rounding_size).
 
-            super(ArrowStyle.BracketB, self).__init__(None, True,
-                     widthB=widthB, lengthB=lengthB, angleB=angleB)
+        mutation_aspect : float, default: 1
+            The height of the rectangle will be squeezed by this value before
+            the mutation and the mutated box will be stretched by the inverse
+            of it. For example, this allows different horizontal and vertical
+            padding.
 
-    _style_list["-["] = BracketB
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Patch` properties
 
-    class BarAB(_Bracket):
-        """
-        An arrow with a bar(|) at both ends.
+        %(Patch:kwdoc)s
         """
 
-        def __init__(self,
-                     widthA=1., angleA=None,
-                     widthB=1., angleB=None):
-            """
-            *widthA*
-              width of the bracket
+        super().__init__(**kwargs)
+        self._x, self._y = xy
+        self._width = width
+        self._height = height
+        self.set_boxstyle(boxstyle)
+        self._mutation_scale = mutation_scale
+        self._mutation_aspect = mutation_aspect
+        self.stale = True
+
+    @_docstring.interpd
+    def set_boxstyle(self, boxstyle=None, **kwargs):
+        """
+        Set the box style, possibly with further attributes.
 
-            *lengthA*
-              length of the bracket
+        Attributes from the previous box style are not reused.
 
-            *angleA*
-              angle between the bracket and the line
+        Without argument (or with ``boxstyle=None``), the available box styles
+        are returned as a human-readable string.
 
-            *widthB*
-              width of the bracket
+        Parameters
+        ----------
+        boxstyle : str or `~matplotlib.patches.BoxStyle`
+            The style of the box: either a `.BoxStyle` instance, or a string,
+            which is the style name and optionally comma separated attributes
+            (e.g. "Round,pad=0.2"). Such a string is used to construct a
+            `.BoxStyle` object, as documented in that class.
 
-            *lengthB*
-              length of the bracket
+            The following box styles are available:
 
-            *angleB*
-              angle between the bracket and the line
-            """
+            %(BoxStyle:table_and_accepts)s
 
-            super(ArrowStyle.BarAB, self).__init__(
-                        True, True, widthA=widthA, lengthA=0, angleA=angleA,
-                        widthB=widthB, lengthB=0, angleB=angleB)
+        **kwargs
+            Additional attributes for the box style. See the table above for
+            supported parameters.
 
-    _style_list["|-|"] = BarAB
+        Examples
+        --------
+        ::
 
-    class Simple(_Base):
-        """
-        A simple arrow. Only works with a quadratic bezier curve.
+            set_boxstyle("Round,pad=0.2")
+            set_boxstyle("round", pad=0.2)
         """
+        if boxstyle is None:
+            return BoxStyle.pprint_styles()
+        self._bbox_transmuter = (
+            BoxStyle(boxstyle, **kwargs)
+            if isinstance(boxstyle, str) else boxstyle)
+        self.stale = True
 
-        def __init__(self, head_length=.5, head_width=.5, tail_width=.2):
-            """
-            *head_length*
-              length of the arrow head
+    def get_boxstyle(self):
+        """Return the boxstyle object."""
+        return self._bbox_transmuter
 
-            *head_with*
-              width of the arrow head
+    def set_mutation_scale(self, scale):
+        """
+        Set the mutation scale.
 
-            *tail_width*
-              width of the arrow tail
+        Parameters
+        ----------
+        scale : float
+        """
+        self._mutation_scale = scale
+        self.stale = True
 
-            """
+    def get_mutation_scale(self):
+        """Return the mutation scale."""
+        return self._mutation_scale
 
-            self.head_length, self.head_width, self.tail_width = \
-                    head_length, head_width, tail_width
-            super(ArrowStyle.Simple, self).__init__()
+    def set_mutation_aspect(self, aspect):
+        """
+        Set the aspect ratio of the bbox mutation.
 
-        def transmute(self, path, mutation_size, linewidth):
+        Parameters
+        ----------
+        aspect : float
+        """
+        self._mutation_aspect = aspect
+        self.stale = True
 
-            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
+    def get_mutation_aspect(self):
+        """Return the aspect ratio of the bbox mutation."""
+        return (self._mutation_aspect if self._mutation_aspect is not None
+                else 1)  # backcompat.
 
-            # divide the path into a head and a tail
-            head_length = self.head_length * mutation_size
-            in_f = inside_circle(x2, y2, head_length)
-            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
+    def get_path(self):
+        """Return the mutated path of the rectangle."""
+        boxstyle = self.get_boxstyle()
+        m_aspect = self.get_mutation_aspect()
+        # Call boxstyle with y, height squeezed by aspect_ratio.
+        path = boxstyle(self._x, self._y / m_aspect,
+                        self._width, self._height / m_aspect,
+                        self.get_mutation_scale())
+        return Path(path.vertices * [1, m_aspect], path.codes)  # Unsqueeze y.
 
-            from .bezier import NonIntersectingPathException
+    # Following methods are borrowed from the Rectangle class.
 
-            try:
-                arrow_out, arrow_in = \
-                      split_bezier_intersecting_with_closedpath(arrow_path,
-                                                                in_f,
-                                                                tolerence=0.01)
-            except NonIntersectingPathException:
-                # if this happens, make a straight line of the head_length
-                # long.
-                x0, y0 = _point_along_a_line(x2, y2, x1, y1, head_length)
-                x1n, y1n = 0.5 * (x0 + x2), 0.5 * (y0 + y2)
-                arrow_in = [(x0, y0), (x1n, y1n), (x2, y2)]
-                arrow_out = None
+    def get_x(self):
+        """Return the left coord of the rectangle."""
+        return self._x
 
-            # head
-            head_width = self.head_width * mutation_size
-            head_left, head_right = \
-                       make_wedged_bezier2(arrow_in, head_width / 2.,
-                                           wm=.5)
+    def get_y(self):
+        """Return the bottom coord of the rectangle."""
+        return self._y
 
-            # tail
-            if arrow_out is not None:
-                tail_width = self.tail_width * mutation_size
-                tail_left, tail_right = get_parallels(arrow_out,
-                                                      tail_width / 2.)
+    def get_width(self):
+        """Return the width of the rectangle."""
+        return self._width
 
-                #head_right, head_left = head_r, head_l
-                patch_path = [(Path.MOVETO, tail_right[0]),
-                              (Path.CURVE3, tail_right[1]),
-                              (Path.CURVE3, tail_right[2]),
-                              (Path.LINETO, head_right[0]),
-                              (Path.CURVE3, head_right[1]),
-                              (Path.CURVE3, head_right[2]),
-                              (Path.CURVE3, head_left[1]),
-                              (Path.CURVE3, head_left[0]),
-                              (Path.LINETO, tail_left[2]),
-                              (Path.CURVE3, tail_left[1]),
-                              (Path.CURVE3, tail_left[0]),
-                              (Path.LINETO, tail_right[0]),
-                              (Path.CLOSEPOLY, tail_right[0]),
-                              ]
-            else:
-                patch_path = [(Path.MOVETO, head_right[0]),
-                              (Path.CURVE3, head_right[1]),
-                              (Path.CURVE3, head_right[2]),
-                              (Path.CURVE3, head_left[1]),
-                              (Path.CURVE3, head_left[0]),
-                              (Path.CLOSEPOLY, head_left[0]),
-                              ]
+    def get_height(self):
+        """Return the height of the rectangle."""
+        return self._height
 
-            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
+    def set_x(self, x):
+        """
+        Set the left coord of the rectangle.
 
-            return path, True
+        Parameters
+        ----------
+        x : float
+        """
+        self._x = x
+        self.stale = True
 
-    _style_list["simple"] = Simple
+    def set_y(self, y):
+        """
+        Set the bottom coord of the rectangle.
 
-    class Fancy(_Base):
+        Parameters
+        ----------
+        y : float
         """
-        A fancy arrow. Only works with a quadratic bezier curve.
+        self._y = y
+        self.stale = True
+
+    def set_width(self, w):
         """
+        Set the rectangle width.
 
-        def __init__(self, head_length=.4, head_width=.4, tail_width=.4):
-            """
-            *head_length*
-              length of the arrow head
+        Parameters
+        ----------
+        w : float
+        """
+        self._width = w
+        self.stale = True
 
-            *head_with*
-              width of the arrow head
+    def set_height(self, h):
+        """
+        Set the rectangle height.
 
-            *tail_width*
-              width of the arrow tail
+        Parameters
+        ----------
+        h : float
+        """
+        self._height = h
+        self.stale = True
 
-            """
+    def set_bounds(self, *args):
+        """
+        Set the bounds of the rectangle.
 
-            self.head_length, self.head_width, self.tail_width = \
-                    head_length, head_width, tail_width
-            super(ArrowStyle.Fancy, self).__init__()
+        Call signatures::
 
-        def transmute(self, path, mutation_size, linewidth):
+            set_bounds(left, bottom, width, height)
+            set_bounds((left, bottom, width, height))
 
-            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
+        Parameters
+        ----------
+        left, bottom : float
+            The coordinates of the bottom left corner of the rectangle.
+        width, height : float
+            The width/height of the rectangle.
+        """
+        if len(args) == 1:
+            l, b, w, h = args[0]
+        else:
+            l, b, w, h = args
+        self._x = l
+        self._y = b
+        self._width = w
+        self._height = h
+        self.stale = True
 
-            # divide the path into a head and a tail
-            head_length = self.head_length * mutation_size
-            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
+    def get_bbox(self):
+        """Return the `.Bbox`."""
+        return transforms.Bbox.from_bounds(self._x, self._y,
+                                           self._width, self._height)
 
-            from .bezier import NonIntersectingPathException
 
-            # path for head
-            in_f = inside_circle(x2, y2, head_length)
-            try:
-                path_out, path_in = \
-                          split_bezier_intersecting_with_closedpath(
-                                arrow_path,
-                                in_f,
-                                tolerence=0.01)
-            except NonIntersectingPathException:
-                # if this happens, make a straight line of the head_length
-                # long.
-                x0, y0 = _point_along_a_line(x2, y2, x1, y1, head_length)
-                x1n, y1n = 0.5 * (x0 + x2), 0.5 * (y0 + y2)
-                arrow_path = [(x0, y0), (x1n, y1n), (x2, y2)]
-                path_head = arrow_path
-            else:
-                path_head = path_in
+class FancyArrowPatch(Patch):
+    """
+    A fancy arrow patch.
 
-            # path for head
-            in_f = inside_circle(x2, y2, head_length * .8)
-            path_out, path_in = \
-                       split_bezier_intersecting_with_closedpath(
-                                        arrow_path,
-                                        in_f,
-                                        tolerence=0.01)
-            path_tail = path_out
+    It draws an arrow using the `ArrowStyle`. It is primarily used by the
+    `~.axes.Axes.annotate` method.  For most purposes, use the annotate method for
+    drawing arrows.
 
-            # head
-            head_width = self.head_width * mutation_size
-            head_l, head_r = make_wedged_bezier2(path_head,
-                                                 head_width / 2.,
-                                                 wm=.6)
+    The head and tail positions are fixed at the specified start and end points
+    of the arrow, but the size and shape (in display coordinates) of the arrow
+    does not change when the axis is moved or zoomed.
+    """
+    _edge_default = True
 
-            # tail
-            tail_width = self.tail_width * mutation_size
-            tail_left, tail_right = make_wedged_bezier2(path_tail,
-                                                        tail_width * .5,
-                                                        w1=1., wm=0.6, w2=0.3)
+    def __str__(self):
+        if self._posA_posB is not None:
+            (x1, y1), (x2, y2) = self._posA_posB
+            return f"{type(self).__name__}(({x1:g}, {y1:g})->({x2:g}, {y2:g}))"
+        else:
+            return f"{type(self).__name__}({self._path_original})"
 
-            # path for head
-            in_f = inside_circle(x0, y0, tail_width * .3)
-            path_in, path_out = \
-                       split_bezier_intersecting_with_closedpath(
-                                arrow_path,
-                                in_f,
-                                tolerence=0.01)
-            tail_start = path_in[-1]
+    @_docstring.interpd
+    def __init__(self, posA=None, posB=None, *,
+                 path=None, arrowstyle="simple", connectionstyle="arc3",
+                 patchA=None, patchB=None, shrinkA=2, shrinkB=2,
+                 mutation_scale=1, mutation_aspect=1, **kwargs):
+        """
+        **Defining the arrow position and path**
 
-            head_right, head_left = head_r, head_l
-            patch_path = [(Path.MOVETO, tail_start),
-                          (Path.LINETO, tail_right[0]),
-                          (Path.CURVE3, tail_right[1]),
-                          (Path.CURVE3, tail_right[2]),
-                          (Path.LINETO, head_right[0]),
-                          (Path.CURVE3, head_right[1]),
-                          (Path.CURVE3, head_right[2]),
-                          (Path.CURVE3, head_left[1]),
-                          (Path.CURVE3, head_left[0]),
-                          (Path.LINETO, tail_left[2]),
-                          (Path.CURVE3, tail_left[1]),
-                          (Path.CURVE3, tail_left[0]),
-                          (Path.LINETO, tail_start),
-                          (Path.CLOSEPOLY, tail_start),
-                          ]
-            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
+        There are two ways to define the arrow position and path:
 
-            return path, True
+        - **Start, end and connection**:
+          The typical approach is to define the start and end points of the
+          arrow using *posA* and *posB*. The curve between these two can
+          further be configured using *connectionstyle*.
 
-    _style_list["fancy"] = Fancy
+          If given, the arrow curve is clipped by *patchA* and *patchB*,
+          allowing it to start/end at the border of these patches.
+          Additionally, the arrow curve can be shortened by *shrinkA* and *shrinkB*
+          to create a margin between start/end (after possible clipping) and the
+          drawn arrow.
 
-    class Wedge(_Base):
-        """
-        Wedge(?) shape. Only wokrs with a quadratic bezier curve.  The
-        begin point has a width of the tail_width and the end point has a
-        width of 0. At the middle, the width is shrink_factor*tail_width.
+        - **path**: Alternatively if *path* is provided, an arrow is drawn along
+          this Path. In this case, *connectionstyle*, *patchA*, *patchB*,
+          *shrinkA*, and *shrinkB* are ignored.
 
-        """
+        **Styling**
 
-        def __init__(self, tail_width=.3, shrink_factor=0.5):
-            """
-            *tail_width*
-              width of the tail
+        The *arrowstyle* defines the styling of the arrow head, tail and shaft.
+        The resulting arrows can be styled further by setting the `.Patch`
+        properties such as *linewidth*, *color*, *facecolor*, *edgecolor*
+        etc. via keyword arguments.
 
-            *shrink_factor*
-              fraction of the arrow width at the middle point
-            """
+        Parameters
+        ----------
+        posA, posB : (float, float), optional
+            (x, y) coordinates of start and end point of the arrow.
+            The actually drawn start and end positions may be modified
+            through *patchA*, *patchB*, *shrinkA*, and *shrinkB*.
 
-            self.tail_width = tail_width
-            self.shrink_factor = shrink_factor
-            super(ArrowStyle.Wedge, self).__init__()
+            *posA*, *posB* are exclusive of *path*.
 
-        def transmute(self, path, mutation_size, linewidth):
+        path : `~matplotlib.path.Path`, optional
+            If provided, an arrow is drawn along this path and *patchA*,
+            *patchB*, *shrinkA*, and *shrinkB* are ignored.
 
-            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)
+            *path* is exclusive of *posA*, *posB*.
 
-            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
-            b_plus, b_minus = make_wedged_bezier2(
-                                    arrow_path,
-                                    self.tail_width * mutation_size / 2.,
-                                    wm=self.shrink_factor)
+        arrowstyle : str or `.ArrowStyle`, default: 'simple'
+            The styling of arrow head, tail and shaft. This can be
 
-            patch_path = [(Path.MOVETO, b_plus[0]),
-                          (Path.CURVE3, b_plus[1]),
-                          (Path.CURVE3, b_plus[2]),
-                          (Path.LINETO, b_minus[2]),
-                          (Path.CURVE3, b_minus[1]),
-                          (Path.CURVE3, b_minus[0]),
-                          (Path.CLOSEPOLY, b_minus[0]),
-                          ]
-            path = Path([p for c, p in patch_path], [c for c, p in patch_path])
+            - `.ArrowStyle` or one of its subclasses
+            - The shorthand string name (e.g. "->") as given in the table below,
+              optionally containing a comma-separated list of style parameters,
+              e.g. "->, head_length=10, head_width=5".
 
-            return path, True
+            The style parameters are scaled by *mutation_scale*.
 
-    _style_list["wedge"] = Wedge
+            The following arrow styles are available. See also
+            :doc:`/gallery/text_labels_and_annotations/fancyarrow_demo`.
 
-    if __doc__:
-        __doc__ = cbook.dedent(__doc__) % \
-               {"AvailableArrowstyles": _pprint_styles(_style_list)}
+            %(ArrowStyle:table)s
 
+            Only the styles ``<|-``, ``-|>``, ``<|-|>`` ``simple``, ``fancy``
+            and ``wedge`` contain closed paths and can be filled.
 
-docstring.interpd.update(
-    AvailableArrowstyles=_pprint_styles(ArrowStyle._style_list),
-    AvailableConnectorstyles=_pprint_styles(ConnectionStyle._style_list),
-)
+        connectionstyle : str or `.ConnectionStyle` or None, optional, \
+default: 'arc3'
+            `.ConnectionStyle` with which *posA* and *posB* are connected.
+            This can be
 
+            - `.ConnectionStyle` or one of its subclasses
+            - The shorthand string name as given in the table below, e.g. "arc3".
 
-class FancyArrowPatch(Patch):
-    """
-    A fancy arrow patch. It draws an arrow using the :class:ArrowStyle.
-    """
+            %(ConnectionStyle:table)s
 
-    def __str__(self):
+            Ignored if *path* is provided.
 
-        if self._posA_posB is not None:
-            (x1, y1), (x2, y2) = self._posA_posB
-            return self.__class__.__name__ \
-                   + "(%g,%g->%g,%g)" % (x1, y1, x2, y2)
-        else:
-            return self.__class__.__name__ \
-                   + "(%s)" % (str(self._path_original),)
-
-    @docstring.dedent_interpd
-    def __init__(self, posA=None, posB=None,
-                 path=None,
-                 arrowstyle="simple",
-                 arrow_transmuter=None,
-                 connectionstyle="arc3",
-                 connector=None,
-                 patchA=None,
-                 patchB=None,
-                 shrinkA=2.,
-                 shrinkB=2.,
-                 mutation_scale=1.,
-                 mutation_aspect=None,
-                 dpi_cor=1.,
-                 **kwargs):
-        """
-        If *posA* and *posB* is given, a path connecting two point are
-        created according to the connectionstyle. The path will be
-        clipped with *patchA* and *patchB* and further shirnked by
-        *shrinkA* and *shrinkB*. An arrow is drawn along this
-        resulting path using the *arrowstyle* parameter. If *path*
-        provided, an arrow is drawn along this path and *patchA*,
-        *patchB*, *shrinkA*, and *shrinkB* are ignored.
+        patchA, patchB : `~matplotlib.patches.Patch`, default: None
+            Optional Patches at *posA* and *posB*, respectively. If given,
+            the arrow path is clipped by these patches such that head and tail
+            are at the border of the patches.
 
-        The *connectionstyle* describes how *posA* and *posB* are
-        connected. It can be an instance of the ConnectionStyle class
-        (matplotlib.patches.ConnectionStlye) or a string of the
-        connectionstyle name, with optional comma-separated
-        attributes.  The following connection styles are available.
+            Ignored if *path* is provided.
 
-        %(AvailableConnectorstyles)s
+        shrinkA, shrinkB : float, default: 2
+            Shorten the arrow path at *posA* and *posB* by this amount in points.
+            This allows to add a margin between the intended start/end points and
+            the arrow.
 
+            Ignored if *path* is provided.
 
-        The *arrowstyle* describes how the fancy arrow will be
-        drawn. It can be string of the available arrowstyle names,
-        with optional comma-separated attributes, or one of the
-        ArrowStyle instance. The optional attributes are meant to be
-        scaled with the *mutation_scale*. The following arrow styles are
-        available.
+        mutation_scale : float, default: 1
+            Value with which attributes of *arrowstyle* (e.g., *head_length*)
+            will be scaled.
 
-        %(AvailableArrowstyles)s
+        mutation_aspect : None or float, default: None
+            The height of the rectangle will be squeezed by this value before
+            the mutation and the mutated box will be stretched by the inverse
+            of it.
 
-        *mutation_scale* : a value with which attributes of arrowstyle
-            (e.g., head_length) will be scaled. default=1.
+        Other Parameters
+        ----------------
+        **kwargs : `~matplotlib.patches.Patch` properties, optional
+            Here is a list of available `.Patch` properties:
 
-        *mutation_aspect* : The height of the rectangle will be
-            squeezed by this value before the mutation and the mutated
-            box will be stretched by the inverse of it. default=None.
+        %(Patch:kwdoc)s
 
-        Valid kwargs are:
-        %(Patch)s
+            In contrast to other patches, the default ``capstyle`` and
+            ``joinstyle`` for `FancyArrowPatch` are set to ``"round"``.
         """
+        # Traditionally, the cap- and joinstyle for FancyArrowPatch are round
+        kwargs.setdefault("joinstyle", JoinStyle.round)
+        kwargs.setdefault("capstyle", CapStyle.round)
+
+        super().__init__(**kwargs)
 
         if posA is not None and posB is not None and path is None:
             self._posA_posB = [posA, posB]
@@ -3927,17 +4301,14 @@ def __init__(self, posA=None, posB=None,
 
         elif posA is None and posB is None and path is not None:
             self._posA_posB = None
-            self._connetors = None
         else:
-            raise ValueError("either posA and posB, or path need to provided")
+            raise ValueError("Either posA and posB, or path need to provided")
 
         self.patchA = patchA
         self.patchB = patchB
         self.shrinkA = shrinkA
         self.shrinkB = shrinkB
 
-        Patch.__init__(self, **kwargs)
-
         self._path_original = path
 
         self.set_arrowstyle(arrowstyle)
@@ -3945,120 +4316,152 @@ def __init__(self, posA=None, posB=None,
         self._mutation_scale = mutation_scale
         self._mutation_aspect = mutation_aspect
 
-        self.set_dpi_cor(dpi_cor)
-        #self._draw_in_display_coordinate = True
-
-    def set_dpi_cor(self, dpi_cor):
-        """
-        dpi_cor is currently used for linewidth-related things and
-        shink factor. Mutation scale is not affected by this.
-        """
-
-        self._dpi_cor = dpi_cor
+        self._dpi_cor = 1.0
 
-    def get_dpi_cor(self):
-        """
-        dpi_cor is currently used for linewidth-related things and
-        shink factor. Mutation scale is not affected by this.
+    def set_positions(self, posA, posB):
         """
+        Set the start and end positions of the connecting path.
 
-        return self._dpi_cor
-
-    def set_positions(self, posA, posB):
-        """ set the begin end end positions of the connecting
-        path. Use current vlaue if None.
+        Parameters
+        ----------
+        posA, posB : None, tuple
+            (x, y) coordinates of arrow tail and arrow head respectively. If
+            `None` use current value.
         """
         if posA is not None:
             self._posA_posB[0] = posA
         if posB is not None:
             self._posA_posB[1] = posB
+        self.stale = True
 
     def set_patchA(self, patchA):
-        """ set the begin patch.
+        """
+        Set the tail patch.
+
+        Parameters
+        ----------
+        patchA : `.patches.Patch`
         """
         self.patchA = patchA
+        self.stale = True
 
     def set_patchB(self, patchB):
-        """ set the begin patch
+        """
+        Set the head patch.
+
+        Parameters
+        ----------
+        patchB : `.patches.Patch`
         """
         self.patchB = patchB
+        self.stale = True
 
-    def set_connectionstyle(self, connectionstyle, **kw):
+    @_docstring.interpd
+    def set_connectionstyle(self, connectionstyle=None, **kwargs):
         """
-        Set the connection style.
+        Set the connection style, possibly with further attributes.
 
-        *connectionstyle* can be a string with connectionstyle name with
-         optional comma-separated attributes. Alternatively, the attrs can be
-         probided as keywords.
+        Attributes from the previous connection style are not reused.
 
-         set_connectionstyle("arc,angleA=0,armA=30,rad=10")
-         set_connectionstyle("arc", angleA=0,armA=30,rad=10)
+        Without argument (or with ``connectionstyle=None``), the available box
+        styles are returned as a human-readable string.
 
-        Old attrs simply are forgotten.
+        Parameters
+        ----------
+        connectionstyle : str or `~matplotlib.patches.ConnectionStyle`
+            The style of the connection: either a `.ConnectionStyle` instance,
+            or a string, which is the style name and optionally comma separated
+            attributes (e.g. "Arc,armA=30,rad=10"). Such a string is used to
+            construct a `.ConnectionStyle` object, as documented in that class.
 
-        Without argument (or with connectionstyle=None), return
-        available styles as a list of strings.
-        """
+            The following connection styles are available:
+
+            %(ConnectionStyle:table_and_accepts)s
 
+        **kwargs
+            Additional attributes for the connection style. See the table above
+            for supported parameters.
+
+        Examples
+        --------
+        ::
+
+            set_connectionstyle("Arc,armA=30,rad=10")
+            set_connectionstyle("arc", armA=30, rad=10)
+        """
         if connectionstyle is None:
             return ConnectionStyle.pprint_styles()
-
-        if isinstance(connectionstyle, ConnectionStyle._Base):
-            self._connector = connectionstyle
-        elif six.callable(connectionstyle):
-            # we may need check the calling convention of the given function
-            self._connector = connectionstyle
-        else:
-            self._connector = ConnectionStyle(connectionstyle, **kw)
+        self._connector = (
+            ConnectionStyle(connectionstyle, **kwargs)
+            if isinstance(connectionstyle, str) else connectionstyle)
+        self.stale = True
 
     def get_connectionstyle(self):
-        """
-        Return the ConnectionStyle instance
-        """
+        """Return the `ConnectionStyle` used."""
         return self._connector
 
-    def set_arrowstyle(self, arrowstyle=None, **kw):
+    @_docstring.interpd
+    def set_arrowstyle(self, arrowstyle=None, **kwargs):
         """
-        Set the arrow style.
+        Set the arrow style, possibly with further attributes.
+
+        Attributes from the previous arrow style are not reused.
 
-        *arrowstyle* can be a string with arrowstyle name with optional
-         comma-separated attributes. Alternatively, the attrs can
-         be provided as keywords.
+        Without argument (or with ``arrowstyle=None``), the available box
+        styles are returned as a human-readable string.
 
-         set_arrowstyle("Fancy,head_length=0.2")
-         set_arrowstyle("fancy", head_length=0.2)
+        Parameters
+        ----------
+        arrowstyle : str or `~matplotlib.patches.ArrowStyle`
+            The style of the arrow: either a `.ArrowStyle` instance, or a
+            string, which is the style name and optionally comma separated
+            attributes (e.g. "Fancy,head_length=0.2"). Such a string is used to
+            construct a `.ArrowStyle` object, as documented in that class.
 
-        Old attrs simply are forgotten.
+            The following arrow styles are available:
 
-        Without argument (or with arrowstyle=None), return
-        available box styles as a list of strings.
-        """
+            %(ArrowStyle:table_and_accepts)s
+
+        **kwargs
+            Additional attributes for the arrow style. See the table above for
+            supported parameters.
 
+        Examples
+        --------
+        ::
+
+            set_arrowstyle("Fancy,head_length=0.2")
+            set_arrowstyle("fancy", head_length=0.2)
+        """
         if arrowstyle is None:
             return ArrowStyle.pprint_styles()
-
-        if isinstance(arrowstyle, ArrowStyle._Base):
-            self._arrow_transmuter = arrowstyle
-        else:
-            self._arrow_transmuter = ArrowStyle(arrowstyle, **kw)
+        self._arrow_transmuter = (
+            ArrowStyle(arrowstyle, **kwargs)
+            if isinstance(arrowstyle, str) else arrowstyle)
+        self.stale = True
 
     def get_arrowstyle(self):
-        """
-        Return the arrowstyle object
-        """
+        """Return the arrowstyle object."""
         return self._arrow_transmuter
 
     def set_mutation_scale(self, scale):
         """
         Set the mutation scale.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        scale : float
         """
         self._mutation_scale = scale
+        self.stale = True
 
     def get_mutation_scale(self):
         """
         Return the mutation scale.
+
+        Returns
+        -------
+        scalar
         """
         return self._mutation_scale
 
@@ -4066,56 +4469,49 @@ def set_mutation_aspect(self, aspect):
         """
         Set the aspect ratio of the bbox mutation.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        aspect : float
         """
         self._mutation_aspect = aspect
+        self.stale = True
 
     def get_mutation_aspect(self):
-        """
-        Return the aspect ratio of the bbox mutation.
-        """
-        return self._mutation_aspect
+        """Return the aspect ratio of the bbox mutation."""
+        return (self._mutation_aspect if self._mutation_aspect is not None
+                else 1)  # backcompat.
 
     def get_path(self):
-        """
-        return the path of the arrow in the data coordinate. Use
-        get_path_in_displaycoord() method to retrieve the arrow path
-        in the display coord.
-        """
-        _path, fillable = self.get_path_in_displaycoord()
-
-        if cbook.iterable(fillable):
-            _path = concatenate_paths(_path)
-
+        """Return the path of the arrow in the data coordinates."""
+        # The path is generated in display coordinates, then converted back to
+        # data coordinates.
+        _path, fillable = self._get_path_in_displaycoord()
+        if np.iterable(fillable):
+            _path = Path.make_compound_path(*_path)
         return self.get_transform().inverted().transform_path(_path)
 
-    def get_path_in_displaycoord(self):
-        """
-        Return the mutated path of the arrow in the display coord
-        """
-
-        dpi_cor = self.get_dpi_cor()
+    def _get_path_in_displaycoord(self):
+        """Return the mutated path of the arrow in display coordinates."""
+        dpi_cor = self._dpi_cor
 
         if self._posA_posB is not None:
-            posA = self.get_transform().transform_point(self._posA_posB[0])
-            posB = self.get_transform().transform_point(self._posA_posB[1])
+            posA = self._convert_xy_units(self._posA_posB[0])
+            posB = self._convert_xy_units(self._posA_posB[1])
+            (posA, posB) = self.get_transform().transform((posA, posB))
             _path = self.get_connectionstyle()(posA, posB,
                                                patchA=self.patchA,
                                                patchB=self.patchB,
                                                shrinkA=self.shrinkA * dpi_cor,
                                                shrinkB=self.shrinkB * dpi_cor
-                                              )
+                                               )
         else:
             _path = self.get_transform().transform_path(self._path_original)
 
-        _path, fillable = self.get_arrowstyle()(_path,
-                                                self.get_mutation_scale(),
-                                                self.get_linewidth() * dpi_cor,
-                                                self.get_mutation_aspect()
-                                               )
-
-        #if not fillable:
-        #    self._fill = False
+        _path, fillable = self.get_arrowstyle()(
+            _path,
+            self.get_mutation_scale() * dpi_cor,
+            self.get_linewidth() * dpi_cor,
+            self.get_mutation_aspect())
 
         return _path, fillable
 
@@ -4123,77 +4519,36 @@ def draw(self, renderer):
         if not self.get_visible():
             return
 
-        renderer.open_group('patch', self.get_gid())
-        gc = renderer.new_gc()
-
-        gc.set_foreground(self._edgecolor, isRGBA=True)
-
-        lw = self._linewidth
-        if self._edgecolor[3] == 0:
-            lw = 0
-        gc.set_linewidth(lw)
-        gc.set_linestyle(self._linestyle)
-
-        gc.set_antialiased(self._antialiased)
-        self._set_gc_clip(gc)
-        gc.set_capstyle('round')
-        gc.set_snap(self.get_snap())
-
-        rgbFace = self._facecolor
-        if rgbFace[3] == 0:
-            rgbFace = None  # (some?) renderers expect this as no-fill signal
-
-        gc.set_alpha(self._alpha)
-
-        if self._hatch:
-            gc.set_hatch(self._hatch)
-
-        if self.get_sketch_params() is not None:
-            gc.set_sketch_params(*self.get_sketch_params())
+        # FIXME: dpi_cor is for the dpi-dependency of the linewidth.  There
+        # could be room for improvement.  Maybe _get_path_in_displaycoord could
+        # take a renderer argument, but get_path should be adapted too.
+        self._dpi_cor = renderer.points_to_pixels(1.)
+        path, fillable = self._get_path_in_displaycoord()
 
-        # FIXME : dpi_cor is for the dpi-dependecy of the
-        # linewidth. There could be room for improvement.
-        #
-        #dpi_cor = renderer.points_to_pixels(1.)
-        self.set_dpi_cor(renderer.points_to_pixels(1.))
-        path, fillable = self.get_path_in_displaycoord()
-
-        if not cbook.iterable(fillable):
+        if not np.iterable(fillable):
             path = [path]
             fillable = [fillable]
 
         affine = transforms.IdentityTransform()
 
-        if self.get_path_effects():
-            from matplotlib.patheffects import PathEffectRenderer
-            renderer = PathEffectRenderer(self.get_path_effects(), renderer)
-
-        for p, f in zip(path, fillable):
-            if f:
-                renderer.draw_path(gc, p, affine, rgbFace)
-            else:
-                renderer.draw_path(gc, p, affine, None)
-
-        gc.restore()
-        renderer.close_group('patch')
+        self._draw_paths_with_artist_properties(
+            renderer,
+            [(p, affine, self._facecolor if f and self._facecolor[3] else None)
+             for p, f in zip(path, fillable)])
 
 
 class ConnectionPatch(FancyArrowPatch):
-    """
-    A :class:`~matplotlib.patches.ConnectionPatch` class is to make
-    connecting lines between two points (possibly in different axes).
-    """
+    """A patch that connects two points (possibly in different Axes)."""
+
     def __str__(self):
-        return "ConnectionPatch((%g,%g),(%g,%g))" % \
+        return "ConnectionPatch((%g, %g), (%g, %g))" % \
                (self.xy1[0], self.xy1[1], self.xy2[0], self.xy2[1])
 
-    @docstring.dedent_interpd
-    def __init__(self, xyA, xyB, coordsA, coordsB=None,
+    @_docstring.interpd
+    def __init__(self, xyA, xyB, coordsA, coordsB=None, *,
                  axesA=None, axesB=None,
                  arrowstyle="-",
-                 arrow_transmuter=None,
                  connectionstyle="arc3",
-                 connector=None,
                  patchA=None,
                  patchB=None,
                  shrinkA=0.,
@@ -4201,15 +4556,12 @@ def __init__(self, xyA, xyB, coordsA, coordsB=None,
                  mutation_scale=10.,
                  mutation_aspect=None,
                  clip_on=False,
-                 dpi_cor=1.,
                  **kwargs):
         """
-        Connect point *xyA* in *coordsA* with point *xyB* in *coordsB*
-
+        Connect point *xyA* in *coordsA* with point *xyB* in *coordsB*.
 
         Valid keys are
 
-
         ===============  ======================================================
         Key              Description
         ===============  ======================================================
@@ -4222,33 +4574,55 @@ def __init__(self, xyA, xyB, coordsA, coordsB=None,
         shrinkB          default is 2 points
         mutation_scale   default is text size (in points)
         mutation_aspect  default is 1.
-        ?                any key for :class:`matplotlib.patches.PathPatch`
+        ?                any key for `matplotlib.patches.PathPatch`
         ===============  ======================================================
 
-
         *coordsA* and *coordsB* are strings that indicate the
         coordinates of *xyA* and *xyB*.
 
-        =================   ===================================================
-        Property            Description
-        =================   ===================================================
-        'figure points'     points from the lower left corner of the figure
-        'figure pixels'     pixels from the lower left corner of the figure
-        'figure fraction'   0,0 is lower left of figure and 1,1 is upper, right
-        'axes points'       points from lower left corner of axes
-        'axes pixels'       pixels from lower left corner of axes
-        'axes fraction'     0,1 is lower left of axes and 1,1 is upper right
-        'data'              use the coordinate system of the object being
-                            annotated (default)
-        'offset points'     Specify an offset (in points) from the *xy* value
-
-        'polar'             you can specify *theta*, *r* for the annotation,
-                            even in cartesian plots.  Note that if you
-                            are using a polar axes, you do not need
-                            to specify polar for the coordinate
-                            system since that is the native "data" coordinate
-                            system.
-        =================   ===================================================
+        ==================== ==================================================
+        Property             Description
+        ==================== ==================================================
+        'figure points'      points from the lower left corner of the figure
+        'figure pixels'      pixels from the lower left corner of the figure
+        'figure fraction'    0, 0 is lower left of figure and 1, 1 is upper
+                             right
+        'subfigure points'   points from the lower left corner of the subfigure
+        'subfigure pixels'   pixels from the lower left corner of the subfigure
+        'subfigure fraction' fraction of the subfigure, 0, 0 is lower left.
+        'axes points'        points from lower left corner of the Axes
+        'axes pixels'        pixels from lower left corner of the Axes
+        'axes fraction'      0, 0 is lower left of Axes and 1, 1 is upper right
+        'data'               use the coordinate system of the object being
+                             annotated (default)
+        'offset points'      offset (in points) from the *xy* value
+        'polar'              you can specify *theta*, *r* for the annotation,
+                             even in cartesian plots.  Note that if you are
+                             using a polar Axes, you do not need to specify
+                             polar for the coordinate system since that is the
+                             native "data" coordinate system.
+        ==================== ==================================================
+
+        Alternatively they can be set to any valid
+        `~matplotlib.transforms.Transform`.
+
+        Note that 'subfigure pixels' and 'figure pixels' are the same
+        for the parent figure, so users who want code that is usable in
+        a subfigure can use 'subfigure pixels'.
+
+        .. note::
+
+           Using `ConnectionPatch` across two `~.axes.Axes` instances
+           is not directly compatible with :ref:`constrained layout
+           <constrainedlayout_guide>`. Add the artist
+           directly to the `.Figure` instead of adding it to a specific Axes,
+           or exclude it from the layout using ``con.set_in_layout(False)``.
+
+           .. code-block:: default
+
+              fig, ax = plt.subplots(1, 2, constrained_layout=True)
+              con = ConnectionPatch(..., axesA=ax[0], axesB=ax[1])
+              fig.add_artist(con)
 
         """
         if coordsB is None:
@@ -4262,191 +4636,138 @@ def __init__(self, xyA, xyB, coordsA, coordsB=None,
         self.axesA = axesA
         self.axesB = axesB
 
-        FancyArrowPatch.__init__(self,
-                                 posA=(0, 0), posB=(1, 1),
-                                 arrowstyle=arrowstyle,
-                                 arrow_transmuter=arrow_transmuter,
-                                 connectionstyle=connectionstyle,
-                                 connector=connector,
-                                 patchA=patchA,
-                                 patchB=patchB,
-                                 shrinkA=shrinkA,
-                                 shrinkB=shrinkB,
-                                 mutation_scale=mutation_scale,
-                                 mutation_aspect=mutation_aspect,
-                                 clip_on=clip_on,
-                                 dpi_cor=dpi_cor,
-                                 **kwargs)
-
-        # if True, draw annotation only if self.xy is inside the axes
+        super().__init__(posA=(0, 0), posB=(1, 1),
+                         arrowstyle=arrowstyle,
+                         connectionstyle=connectionstyle,
+                         patchA=patchA, patchB=patchB,
+                         shrinkA=shrinkA, shrinkB=shrinkB,
+                         mutation_scale=mutation_scale,
+                         mutation_aspect=mutation_aspect,
+                         clip_on=clip_on,
+                         **kwargs)
+        # if True, draw annotation only if self.xy is inside the Axes
         self._annotation_clip = None
 
-    def _get_xy(self, x, y, s, axes=None):
-        """
-        caculate the pixel position of given point
-        """
-
+    def _get_xy(self, xy, s, axes=None):
+        """Calculate the pixel position of given point."""
+        s0 = s  # For the error message, if needed.
         if axes is None:
             axes = self.axes
 
+        # preserve mixed type input (such as str, int)
+        x = np.array(xy[0])
+        y = np.array(xy[1])
+
+        fig = self.get_figure(root=False)
+        if s in ["figure points", "axes points"]:
+            x = x * fig.dpi / 72
+            y = y * fig.dpi / 72
+            s = s.replace("points", "pixels")
+        elif s == "figure fraction":
+            s = fig.transFigure
+        elif s == "subfigure fraction":
+            s = fig.transSubfigure
+        elif s == "axes fraction":
+            s = axes.transAxes
+
         if s == 'data':
             trans = axes.transData
-            x = float(self.convert_xunits(x))
-            y = float(self.convert_yunits(y))
-            return trans.transform_point((x, y))
+            x = cbook._to_unmasked_float_array(axes.xaxis.convert_units(x))
+            y = cbook._to_unmasked_float_array(axes.yaxis.convert_units(y))
+            return trans.transform((x, y))
         elif s == 'offset points':
-            # convert the data point
-            dx, dy = self.xy
-
-            # prevent recursion
-            if self.xycoords == 'offset points':
-                return self._get_xy(dx, dy, 'data')
-
-            dx, dy = self._get_xy(dx, dy, self.xycoords)
-
-            # convert the offset
-            dpi = self.figure.get_dpi()
-            x *= dpi / 72.
-            y *= dpi / 72.
-
-            # add the offset to the data point
-            x += dx
-            y += dy
-
-            return x, y
+            if self.xycoords == 'offset points':  # prevent recursion
+                return self._get_xy(self.xy, 'data')
+            return (
+                self._get_xy(self.xy, self.xycoords)  # converted data point
+                + xy * self.get_figure(root=True).dpi / 72)  # converted offset
         elif s == 'polar':
             theta, r = x, y
             x = r * np.cos(theta)
             y = r * np.sin(theta)
             trans = axes.transData
-            return trans.transform_point((x, y))
-        elif s == 'figure points':
-            # points from the lower left corner of the figure
-            dpi = self.figure.dpi
-            l, b, w, h = self.figure.bbox.bounds
-            r = l + w
-            t = b + h
-
-            x *= dpi / 72.
-            y *= dpi / 72.
-            if x < 0:
-                x = r + x
-            if y < 0:
-                y = t + y
-            return x, y
+            return trans.transform((x, y))
         elif s == 'figure pixels':
             # pixels from the lower left corner of the figure
-            l, b, w, h = self.figure.bbox.bounds
-            r = l + w
-            t = b + h
-            if x < 0:
-                x = r + x
-            if y < 0:
-                y = t + y
+            bb = self.get_figure(root=False).figbbox
+            x = bb.x0 + x if x >= 0 else bb.x1 + x
+            y = bb.y0 + y if y >= 0 else bb.y1 + y
             return x, y
-        elif s == 'figure fraction':
-            # (0,0) is lower left, (1,1) is upper right of figure
-            trans = self.figure.transFigure
-            return trans.transform_point((x, y))
-        elif s == 'axes points':
-            # points from the lower left corner of the axes
-            dpi = self.figure.dpi
-            l, b, w, h = axes.bbox.bounds
-            r = l + w
-            t = b + h
-            if x < 0:
-                x = r + x * dpi / 72.
-            else:
-                x = l + x * dpi / 72.
-            if y < 0:
-                y = t + y * dpi / 72.
-            else:
-                y = b + y * dpi / 72.
+        elif s == 'subfigure pixels':
+            # pixels from the lower left corner of the figure
+            bb = self.get_figure(root=False).bbox
+            x = bb.x0 + x if x >= 0 else bb.x1 + x
+            y = bb.y0 + y if y >= 0 else bb.y1 + y
             return x, y
         elif s == 'axes pixels':
-            #pixels from the lower left corner of the axes
-
-            l, b, w, h = axes.bbox.bounds
-            r = l + w
-            t = b + h
-            if x < 0:
-                x = r + x
-            else:
-                x = l + x
-            if y < 0:
-                y = t + y
-            else:
-                y = b + y
+            # pixels from the lower left corner of the Axes
+            bb = axes.bbox
+            x = bb.x0 + x if x >= 0 else bb.x1 + x
+            y = bb.y0 + y if y >= 0 else bb.y1 + y
             return x, y
-        elif s == 'axes fraction':
-            #(0,0) is lower left, (1,1) is upper right of axes
-            trans = axes.transAxes
-            return trans.transform_point((x, y))
+        elif isinstance(s, transforms.Transform):
+            return s.transform(xy)
+        else:
+            raise ValueError(f"{s0} is not a valid coordinate transformation")
 
     def set_annotation_clip(self, b):
         """
-        set *annotation_clip* attribute.
+        Set the annotation's clipping behavior.
 
-          * True: the annotation will only be drawn when self.xy is inside the
-                   axes.
-          * False: the annotation will always be drawn regardless of its
-                    position.
-          * None: the self.xy will be checked only if *xycoords* is "data"
+        Parameters
+        ----------
+        b : bool or None
+            - True: The annotation will be clipped when ``self.xy`` is
+              outside the Axes.
+            - False: The annotation will always be drawn.
+            - None: The annotation will be clipped when ``self.xy`` is
+              outside the Axes and ``self.xycoords == "data"``.
         """
         self._annotation_clip = b
+        self.stale = True
 
     def get_annotation_clip(self):
         """
-        Return *annotation_clip* attribute.
-        See :meth:`set_annotation_clip` for the meaning of return values.
-        """
-        return self._annotation_clip
+        Return the clipping behavior.
 
-    def get_path_in_displaycoord(self):
-        """
-        Return the mutated path of the arrow in the display coord
+        See `.set_annotation_clip` for the meaning of the return value.
         """
+        return self._annotation_clip
 
-        dpi_cor = self.get_dpi_cor()
-
-        x, y = self.xy1
-        posA = self._get_xy(x, y, self.coords1, self.axesA)
-
-        x, y = self.xy2
-        posB = self._get_xy(x, y, self.coords2, self.axesB)
-
-        _path = self.get_connectionstyle()(posA, posB,
-                                           patchA=self.patchA,
-                                           patchB=self.patchB,
-                                           shrinkA=self.shrinkA * dpi_cor,
-                                           shrinkB=self.shrinkB * dpi_cor
-                                          )
-
-        _path, fillable = self.get_arrowstyle()(_path,
-                                                self.get_mutation_scale(),
-                                                self.get_linewidth() * dpi_cor,
-                                                self.get_mutation_aspect()
-                                               )
-
-        return _path, fillable
+    def _get_path_in_displaycoord(self):
+        """Return the mutated path of the arrow in display coordinates."""
+        dpi_cor = self._dpi_cor
+        posA = self._get_xy(self.xy1, self.coords1, self.axesA)
+        posB = self._get_xy(self.xy2, self.coords2, self.axesB)
+        path = self.get_connectionstyle()(
+            posA, posB,
+            patchA=self.patchA, patchB=self.patchB,
+            shrinkA=self.shrinkA * dpi_cor, shrinkB=self.shrinkB * dpi_cor,
+        )
+        path, fillable = self.get_arrowstyle()(
+            path,
+            self.get_mutation_scale() * dpi_cor,
+            self.get_linewidth() * dpi_cor,
+            self.get_mutation_aspect()
+        )
+        return path, fillable
 
     def _check_xy(self, renderer):
-        """
-        check if the annotation need to
-        be drawn.
-        """
+        """Check whether the annotation needs to be drawn."""
 
         b = self.get_annotation_clip()
 
         if b or (b is None and self.coords1 == "data"):
-            x, y = self.xy1
-            xy_pixel = self._get_xy(x, y, self.coords1, self.axesA)
-            if not self.axes.contains_point(xy_pixel):
+            xy_pixel = self._get_xy(self.xy1, self.coords1, self.axesA)
+            if self.axesA is None:
+                axes = self.axes
+            else:
+                axes = self.axesA
+            if not axes.contains_point(xy_pixel):
                 return False
 
         if b or (b is None and self.coords2 == "data"):
-            x, y = self.xy2
-            xy_pixel = self._get_xy(x, y, self.coords2, self.axesB)
+            xy_pixel = self._get_xy(self.xy2, self.coords2, self.axesB)
             if self.axesB is None:
                 axes = self.axes
             else:
@@ -4457,16 +4778,6 @@ def _check_xy(self, renderer):
         return True
 
     def draw(self, renderer):
-        """
-        Draw.
-        """
-
-        if renderer is not None:
-            self._renderer = renderer
-        if not self.get_visible():
-            return
-
-        if not self._check_xy(renderer):
+        if not self.get_visible() or not self._check_xy(renderer):
             return
-
-        FancyArrowPatch.draw(self, renderer)
+        super().draw(renderer)
diff --git a/lib/matplotlib/patches.pyi b/lib/matplotlib/patches.pyi
new file mode 100644
index 000000000000..c95f20e35812
--- /dev/null
+++ b/lib/matplotlib/patches.pyi
@@ -0,0 +1,760 @@
+from . import artist
+from .axes import Axes
+from .backend_bases import RendererBase, MouseEvent
+from .path import Path
+from .transforms import Transform, Bbox
+
+from typing import Any, Literal, overload
+
+import numpy as np
+from numpy.typing import ArrayLike
+from .typing import ColorType, LineStyleType, CapStyleType, JoinStyleType
+
+class Patch(artist.Artist):
+    zorder: float
+    def __init__(
+        self,
+        *,
+        edgecolor: ColorType | None = ...,
+        facecolor: ColorType | None = ...,
+        color: ColorType | None = ...,
+        linewidth: float | None = ...,
+        linestyle: LineStyleType | None = ...,
+        antialiased: bool | None = ...,
+        hatch: str | None = ...,
+        fill: bool = ...,
+        capstyle: CapStyleType | None = ...,
+        joinstyle: JoinStyleType | None = ...,
+        hatchcolor: ColorType | Literal["edge"] | None = ...,
+        **kwargs,
+    ) -> None: ...
+    def get_verts(self) -> ArrayLike: ...
+    def contains(self, mouseevent: MouseEvent, radius: float | None = None) -> tuple[bool, dict[Any, Any]]: ...
+    def contains_point(
+        self, point: tuple[float, float], radius: float | None = ...
+    ) -> bool: ...
+    def contains_points(
+        self, points: ArrayLike, radius: float | None = ...
+    ) -> np.ndarray: ...
+    def get_extents(self) -> Bbox: ...
+    def get_transform(self) -> Transform: ...
+    def get_data_transform(self) -> Transform: ...
+    def get_patch_transform(self) -> Transform: ...
+    def get_antialiased(self) -> bool: ...
+    def get_edgecolor(self) -> ColorType: ...
+    def get_facecolor(self) -> ColorType: ...
+    def get_hatchcolor(self) -> ColorType: ...
+    def get_linewidth(self) -> float: ...
+    def get_linestyle(self) -> LineStyleType: ...
+    def set_antialiased(self, aa: bool | None) -> None: ...
+    def set_edgecolor(self, color: ColorType | None) -> None: ...
+    def set_facecolor(self, color: ColorType | None) -> None: ...
+    def set_color(self, c: ColorType | None) -> None: ...
+    def set_hatchcolor(self, color: ColorType | Literal["edge"] | None) -> None: ...
+    def set_alpha(self, alpha: float | None) -> None: ...
+    def set_linewidth(self, w: float | None) -> None: ...
+    def set_linestyle(self, ls: LineStyleType | None) -> None: ...
+    def set_fill(self, b: bool) -> None: ...
+    def get_fill(self) -> bool: ...
+    fill = property(get_fill, set_fill)
+    def set_capstyle(self, s: CapStyleType) -> None: ...
+    def get_capstyle(self) -> Literal["butt", "projecting", "round"]: ...
+    def set_joinstyle(self, s: JoinStyleType) -> None: ...
+    def get_joinstyle(self) -> Literal["miter", "round", "bevel"]: ...
+    def set_hatch(self, hatch: str) -> None: ...
+    def set_hatch_linewidth(self, lw: float) -> None: ...
+    def get_hatch_linewidth(self) -> float: ...
+    def get_hatch(self) -> str: ...
+    def get_path(self) -> Path: ...
+
+class Shadow(Patch):
+    patch: Patch
+    def __init__(self, patch: Patch, ox: float, oy: float, *, shade: float = ..., **kwargs) -> None: ...
+
+class Rectangle(Patch):
+    angle: float
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        width: float,
+        height: float,
+        *,
+        angle: float = ...,
+        rotation_point: Literal["xy", "center"] | tuple[float, float] = ...,
+        **kwargs,
+    ) -> None: ...
+    @property
+    def rotation_point(self) -> Literal["xy", "center"] | tuple[float, float]: ...
+    @rotation_point.setter
+    def rotation_point(
+        self, value: Literal["xy", "center"] | tuple[float, float]
+    ) -> None: ...
+    def get_x(self) -> float: ...
+    def get_y(self) -> float: ...
+    def get_xy(self) -> tuple[float, float]: ...
+    def get_corners(self) -> np.ndarray: ...
+    def get_center(self) -> np.ndarray: ...
+    def get_width(self) -> float: ...
+    def get_height(self) -> float: ...
+    def get_angle(self) -> float: ...
+    def set_x(self, x: float) -> None: ...
+    def set_y(self, y: float) -> None: ...
+    def set_angle(self, angle: float) -> None: ...
+    def set_xy(self, xy: tuple[float, float]) -> None: ...
+    def set_width(self, w: float) -> None: ...
+    def set_height(self, h: float) -> None: ...
+    @overload
+    def set_bounds(self, args: tuple[float, float, float, float], /) -> None: ...
+    @overload
+    def set_bounds(
+        self, left: float, bottom: float, width: float, height: float, /
+    ) -> None: ...
+    def get_bbox(self) -> Bbox: ...
+    xy = property(get_xy, set_xy)
+
+class RegularPolygon(Patch):
+    xy: tuple[float, float]
+    numvertices: int
+    orientation: float
+    radius: float
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        numVertices: int,
+        *,
+        radius: float = ...,
+        orientation: float = ...,
+        **kwargs,
+    ) -> None: ...
+
+class PathPatch(Patch):
+    def __init__(self, path: Path, **kwargs) -> None: ...
+    def set_path(self, path: Path) -> None: ...
+
+class StepPatch(PathPatch):
+    orientation: Literal["vertical", "horizontal"]
+    def __init__(
+        self,
+        values: ArrayLike,
+        edges: ArrayLike,
+        *,
+        orientation: Literal["vertical", "horizontal"] = ...,
+        baseline: float = ...,
+        **kwargs,
+    ) -> None: ...
+
+    # NamedTuple StairData, defined in body of method
+    def get_data(self) -> tuple[np.ndarray, np.ndarray, float]: ...
+    def set_data(
+        self,
+        values: ArrayLike | None = ...,
+        edges: ArrayLike | None = ...,
+        baseline: float | None = ...,
+    ) -> None: ...
+
+class Polygon(Patch):
+    def __init__(self, xy: ArrayLike, *, closed: bool = ..., **kwargs) -> None: ...
+    def get_closed(self) -> bool: ...
+    def set_closed(self, closed: bool) -> None: ...
+    def get_xy(self) -> np.ndarray: ...
+    def set_xy(self, xy: ArrayLike) -> None: ...
+    xy = property(get_xy, set_xy)
+
+class Wedge(Patch):
+    center: tuple[float, float]
+    r: float
+    theta1: float
+    theta2: float
+    width: float | None
+    def __init__(
+        self,
+        center: tuple[float, float],
+        r: float,
+        theta1: float,
+        theta2: float,
+        *,
+        width: float | None = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_center(self, center: tuple[float, float]) -> None: ...
+    def set_radius(self, radius: float) -> None: ...
+    def set_theta1(self, theta1: float) -> None: ...
+    def set_theta2(self, theta2: float) -> None: ...
+    def set_width(self, width: float | None) -> None: ...
+
+class Arrow(Patch):
+    def __init__(
+        self, x: float, y: float, dx: float, dy: float, *, width: float = ..., **kwargs
+    ) -> None: ...
+    def set_data(
+        self,
+        x: float | None = ...,
+        y: float | None = ...,
+        dx: float | None = ...,
+        dy: float | None = ...,
+        width: float | None = ...,
+    ) -> None: ...
+class FancyArrow(Polygon):
+    def __init__(
+        self,
+        x: float,
+        y: float,
+        dx: float,
+        dy: float,
+        *,
+        width: float = ...,
+        length_includes_head: bool = ...,
+        head_width: float | None = ...,
+        head_length: float | None = ...,
+        shape: Literal["full", "left", "right"] = ...,
+        overhang: float = ...,
+        head_starts_at_zero: bool = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_data(
+        self,
+        *,
+        x: float | None = ...,
+        y: float | None = ...,
+        dx: float | None = ...,
+        dy: float | None = ...,
+        width: float | None = ...,
+        head_width: float | None = ...,
+        head_length: float | None = ...,
+    ) -> None: ...
+
+class CirclePolygon(RegularPolygon):
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        radius: float = ...,
+        *,
+        resolution: int = ...,
+        **kwargs,
+    ) -> None: ...
+
+class Ellipse(Patch):
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        width: float,
+        height: float,
+        *,
+        angle: float = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_center(self, xy: tuple[float, float]) -> None: ...
+    def get_center(self) -> float: ...
+    center = property(get_center, set_center)
+
+    def set_width(self, width: float) -> None: ...
+    def get_width(self) -> float: ...
+    width = property(get_width, set_width)
+
+    def set_height(self, height: float) -> None: ...
+    def get_height(self) -> float: ...
+    height = property(get_height, set_height)
+
+    def set_angle(self, angle: float) -> None: ...
+    def get_angle(self) -> float: ...
+    angle = property(get_angle, set_angle)
+
+    def get_corners(self) -> np.ndarray: ...
+
+    def get_vertices(self) -> list[tuple[float, float]]: ...
+    def get_co_vertices(self) -> list[tuple[float, float]]: ...
+
+
+class Annulus(Patch):
+    a: float
+    b: float
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        r: float | tuple[float, float],
+        width: float,
+        angle: float = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_center(self, xy: tuple[float, float]) -> None: ...
+    def get_center(self) -> tuple[float, float]: ...
+    center = property(get_center, set_center)
+
+    def set_width(self, width: float) -> None: ...
+    def get_width(self) -> float: ...
+    width = property(get_width, set_width)
+
+    def set_angle(self, angle: float) -> None: ...
+    def get_angle(self) -> float: ...
+    angle = property(get_angle, set_angle)
+
+    def set_semimajor(self, a: float) -> None: ...
+    def set_semiminor(self, b: float) -> None: ...
+    def set_radii(self, r: float | tuple[float, float]) -> None: ...
+    def get_radii(self) -> tuple[float, float]: ...
+    radii = property(get_radii, set_radii)
+
+class Circle(Ellipse):
+    def __init__(
+        self, xy: tuple[float, float], radius: float = ..., **kwargs
+    ) -> None: ...
+    def set_radius(self, radius: float) -> None: ...
+    def get_radius(self) -> float: ...
+    radius = property(get_radius, set_radius)
+
+class Arc(Ellipse):
+    theta1: float
+    theta2: float
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        width: float,
+        height: float,
+        *,
+        angle: float = ...,
+        theta1: float = ...,
+        theta2: float = ...,
+        **kwargs,
+    ) -> None: ...
+
+def bbox_artist(
+    artist: artist.Artist,
+    renderer: RendererBase,
+    props: dict[str, Any] | None = ...,
+    fill: bool = ...,
+) -> None: ...
+def draw_bbox(
+    bbox: Bbox,
+    renderer: RendererBase,
+    color: ColorType = ...,
+    trans: Transform | None = ...,
+) -> None: ...
+
+class _Style:
+    def __new__(cls, stylename, **kwargs): ...
+    @classmethod
+    def get_styles(cls) -> dict[str, type]: ...
+    @classmethod
+    def pprint_styles(cls) -> str: ...
+    @classmethod
+    def register(cls, name: str, style: type) -> None: ...
+
+class BoxStyle(_Style):
+    class Square(BoxStyle):
+        pad: float
+        def __init__(self, pad: float = ...) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Circle(BoxStyle):
+        pad: float
+        def __init__(self, pad: float = ...) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Ellipse(BoxStyle):
+        pad: float
+        def __init__(self, pad: float = ...) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class LArrow(BoxStyle):
+        pad: float
+        def __init__(self, pad: float = ...) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class RArrow(LArrow):
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class DArrow(BoxStyle):
+        pad: float
+        def __init__(self, pad: float = ...) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Round(BoxStyle):
+        pad: float
+        rounding_size: float | None
+        def __init__(
+            self, pad: float = ..., rounding_size: float | None = ...
+        ) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Round4(BoxStyle):
+        pad: float
+        rounding_size: float | None
+        def __init__(
+            self, pad: float = ..., rounding_size: float | None = ...
+        ) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Sawtooth(BoxStyle):
+        pad: float
+        tooth_size: float | None
+        def __init__(
+            self, pad: float = ..., tooth_size: float | None = ...
+        ) -> None: ...
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+    class Roundtooth(Sawtooth):
+        def __call__(
+            self,
+            x0: float,
+            y0: float,
+            width: float,
+            height: float,
+            mutation_size: float,
+        ) -> Path: ...
+
+class ConnectionStyle(_Style):
+    class _Base(ConnectionStyle):
+        def __call__(
+            self,
+            posA: tuple[float, float],
+            posB: tuple[float, float],
+            shrinkA: float = ...,
+            shrinkB: float = ...,
+            patchA: Patch | None = ...,
+            patchB: Patch | None = ...,
+        ) -> Path: ...
+
+    class Arc3(_Base):
+        rad: float
+        def __init__(self, rad: float = ...) -> None: ...
+        def connect(
+            self, posA: tuple[float, float], posB: tuple[float, float]
+        ) -> Path: ...
+
+    class Angle3(_Base):
+        angleA: float
+        angleB: float
+        def __init__(self, angleA: float = ..., angleB: float = ...) -> None: ...
+        def connect(
+            self, posA: tuple[float, float], posB: tuple[float, float]
+        ) -> Path: ...
+
+    class Angle(_Base):
+        angleA: float
+        angleB: float
+        rad: float
+        def __init__(
+            self, angleA: float = ..., angleB: float = ..., rad: float = ...
+        ) -> None: ...
+        def connect(
+            self, posA: tuple[float, float], posB: tuple[float, float]
+        ) -> Path: ...
+
+    class Arc(_Base):
+        angleA: float
+        angleB: float
+        armA: float | None
+        armB: float | None
+        rad: float
+        def __init__(
+            self,
+            angleA: float = ...,
+            angleB: float = ...,
+            armA: float | None = ...,
+            armB: float | None = ...,
+            rad: float = ...,
+        ) -> None: ...
+        def connect(
+            self, posA: tuple[float, float], posB: tuple[float, float]
+        ) -> Path: ...
+
+    class Bar(_Base):
+        armA: float
+        armB: float
+        fraction: float
+        angle: float | None
+        def __init__(
+            self,
+            armA: float = ...,
+            armB: float = ...,
+            fraction: float = ...,
+            angle: float | None = ...,
+        ) -> None: ...
+        def connect(
+            self, posA: tuple[float, float], posB: tuple[float, float]
+        ) -> Path: ...
+
+class ArrowStyle(_Style):
+    class _Base(ArrowStyle):
+        @staticmethod
+        def ensure_quadratic_bezier(path: Path) -> list[float]: ...
+        def transmute(
+            self, path: Path, mutation_size: float, linewidth: float
+        ) -> tuple[Path, bool]: ...
+        def __call__(
+            self,
+            path: Path,
+            mutation_size: float,
+            linewidth: float,
+            aspect_ratio: float = ...,
+        ) -> tuple[Path, bool]: ...
+
+    class _Curve(_Base):
+        arrow: str
+        fillbegin: bool
+        fillend: bool
+        def __init__(
+            self,
+            head_length: float = ...,
+            head_width: float = ...,
+            widthA: float = ...,
+            widthB: float = ...,
+            lengthA: float = ...,
+            lengthB: float = ...,
+            angleA: float | None = ...,
+            angleB: float | None = ...,
+            scaleA: float | None = ...,
+            scaleB: float | None = ...,
+        ) -> None: ...
+
+    class Curve(_Curve):
+        def __init__(self) -> None: ...
+
+    class CurveA(_Curve):
+        arrow: str
+
+    class CurveB(_Curve):
+        arrow: str
+
+    class CurveAB(_Curve):
+        arrow: str
+
+    class CurveFilledA(_Curve):
+        arrow: str
+
+    class CurveFilledB(_Curve):
+        arrow: str
+
+    class CurveFilledAB(_Curve):
+        arrow: str
+
+    class BracketA(_Curve):
+        arrow: str
+        def __init__(
+            self, widthA: float = ..., lengthA: float = ..., angleA: float = ...
+        ) -> None: ...
+
+    class BracketB(_Curve):
+        arrow: str
+        def __init__(
+            self, widthB: float = ..., lengthB: float = ..., angleB: float = ...
+        ) -> None: ...
+
+    class BracketAB(_Curve):
+        arrow: str
+        def __init__(
+            self,
+            widthA: float = ...,
+            lengthA: float = ...,
+            angleA: float = ...,
+            widthB: float = ...,
+            lengthB: float = ...,
+            angleB: float = ...,
+        ) -> None: ...
+
+    class BarAB(_Curve):
+        arrow: str
+        def __init__(
+            self,
+            widthA: float = ...,
+            angleA: float = ...,
+            widthB: float = ...,
+            angleB: float = ...,
+        ) -> None: ...
+
+    class BracketCurve(_Curve):
+        arrow: str
+        def __init__(
+            self, widthA: float = ..., lengthA: float = ..., angleA: float | None = ...
+        ) -> None: ...
+
+    class CurveBracket(_Curve):
+        arrow: str
+        def __init__(
+            self, widthB: float = ..., lengthB: float = ..., angleB: float | None = ...
+        ) -> None: ...
+
+    class Simple(_Base):
+        def __init__(
+            self,
+            head_length: float = ...,
+            head_width: float = ...,
+            tail_width: float = ...,
+        ) -> None: ...
+
+    class Fancy(_Base):
+        def __init__(
+            self,
+            head_length: float = ...,
+            head_width: float = ...,
+            tail_width: float = ...,
+        ) -> None: ...
+
+    class Wedge(_Base):
+        tail_width: float
+        shrink_factor: float
+        def __init__(
+            self, tail_width: float = ..., shrink_factor: float = ...
+        ) -> None: ...
+
+class FancyBboxPatch(Patch):
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        width: float,
+        height: float,
+        boxstyle: str | BoxStyle = ...,
+        *,
+        mutation_scale: float = ...,
+        mutation_aspect: float = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_boxstyle(self, boxstyle: str | BoxStyle | None = ..., **kwargs) -> None: ...
+    def get_boxstyle(self) -> BoxStyle: ...
+    def set_mutation_scale(self, scale: float) -> None: ...
+    def get_mutation_scale(self) -> float: ...
+    def set_mutation_aspect(self, aspect: float) -> None: ...
+    def get_mutation_aspect(self) -> float: ...
+    def get_x(self) -> float: ...
+    def get_y(self) -> float: ...
+    def get_width(self) -> float: ...
+    def get_height(self) -> float: ...
+    def set_x(self, x: float) -> None: ...
+    def set_y(self, y: float) -> None: ...
+    def set_width(self, w: float) -> None: ...
+    def set_height(self, h: float) -> None: ...
+    @overload
+    def set_bounds(self, args: tuple[float, float, float, float], /) -> None: ...
+    @overload
+    def set_bounds(
+        self, left: float, bottom: float, width: float, height: float, /
+    ) -> None: ...
+    def get_bbox(self) -> Bbox: ...
+
+class FancyArrowPatch(Patch):
+    patchA: Patch
+    patchB: Patch
+    shrinkA: float
+    shrinkB: float
+    def __init__(
+        self,
+        posA: tuple[float, float] | None = ...,
+        posB: tuple[float, float] | None = ...,
+        *,
+        path: Path | None = ...,
+        arrowstyle: str | ArrowStyle = ...,
+        connectionstyle: str | ConnectionStyle = ...,
+        patchA: Patch | None = ...,
+        patchB: Patch | None = ...,
+        shrinkA: float = ...,
+        shrinkB: float = ...,
+        mutation_scale: float = ...,
+        mutation_aspect: float | None = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_positions(
+        self, posA: tuple[float, float], posB: tuple[float, float]
+    ) -> None: ...
+    def set_patchA(self, patchA: Patch) -> None: ...
+    def set_patchB(self, patchB: Patch) -> None: ...
+    def set_connectionstyle(self, connectionstyle: str | ConnectionStyle | None = ..., **kwargs) -> None: ...
+    def get_connectionstyle(self) -> ConnectionStyle: ...
+    def set_arrowstyle(self, arrowstyle: str | ArrowStyle | None = ..., **kwargs) -> None: ...
+    def get_arrowstyle(self) -> ArrowStyle: ...
+    def set_mutation_scale(self, scale: float) -> None: ...
+    def get_mutation_scale(self) -> float: ...
+    def set_mutation_aspect(self, aspect: float | None) -> None: ...
+    def get_mutation_aspect(self) -> float: ...
+
+class ConnectionPatch(FancyArrowPatch):
+    xy1: tuple[float, float]
+    xy2: tuple[float, float]
+    coords1: str | Transform
+    coords2: str | Transform | None
+    axesA: Axes | None
+    axesB: Axes | None
+    def __init__(
+        self,
+        xyA: tuple[float, float],
+        xyB: tuple[float, float],
+        coordsA: str | Transform,
+        coordsB: str | Transform | None = ...,
+        *,
+        axesA: Axes | None = ...,
+        axesB: Axes | None = ...,
+        arrowstyle: str | ArrowStyle = ...,
+        connectionstyle: str | ConnectionStyle = ...,
+        patchA: Patch | None = ...,
+        patchB: Patch | None = ...,
+        shrinkA: float = ...,
+        shrinkB: float = ...,
+        mutation_scale: float = ...,
+        mutation_aspect: float | None = ...,
+        clip_on: bool = ...,
+        **kwargs,
+    ) -> None: ...
+    def set_annotation_clip(self, b: bool | None) -> None: ...
+    def get_annotation_clip(self) -> bool | None: ...
diff --git a/lib/matplotlib/path.py b/lib/matplotlib/path.py
index b2540be1c18f..a021706fb1e5 100644
--- a/lib/matplotlib/path.py
+++ b/lib/matplotlib/path.py
@@ -1,76 +1,73 @@
-"""
-A module for dealing with the polylines used throughout matplotlib.
+r"""
+A module for dealing with the polylines used throughout Matplotlib.
 
-The primary class for polyline handling in matplotlib is :class:`Path`.
-Almost all vector drawing makes use of Paths somewhere in the drawing
-pipeline.
+The primary class for polyline handling in Matplotlib is `Path`.  Almost all
+vector drawing makes use of `Path`\s somewhere in the drawing pipeline.
 
-Whilst a :class:`Path` instance itself cannot be drawn, there exists
-:class:`~matplotlib.artist.Artist` subclasses which can be used for
-convenient Path visualisation - the two most frequently used of these are
-:class:`~matplotlib.patches.PathPatch` and
-:class:`~matplotlib.collections.PathCollection`.
+Whilst a `Path` instance itself cannot be drawn, some `.Artist` subclasses,
+such as `.PathPatch` and `.PathCollection`, can be used for convenient `Path`
+visualisation.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import math
+import copy
+from functools import lru_cache
 from weakref import WeakValueDictionary
 
 import numpy as np
-from numpy import ma
 
-from matplotlib import _path
-from matplotlib.cbook import simple_linear_interpolation, maxdict
-from matplotlib import rcParams
+import matplotlib as mpl
+from . import _api, _path
+from .cbook import _to_unmasked_float_array, simple_linear_interpolation
+from .bezier import BezierSegment
 
 
-class Path(object):
+class Path:
     """
-    :class:`Path` represents a series of possibly disconnected,
-    possibly closed, line and curve segments.
+    A series of possibly disconnected, possibly closed, line and curve
+    segments.
 
     The underlying storage is made up of two parallel numpy arrays:
-      - *vertices*: an Nx2 float array of vertices
-      - *codes*: an N-length uint8 array of vertex types
+
+    - *vertices*: an (N, 2) float array of vertices
+    - *codes*: an N-length `numpy.uint8` array of path codes, or None
 
     These two arrays always have the same length in the first
     dimension.  For example, to represent a cubic curve, you must
-    provide three vertices as well as three codes ``CURVE3``.
+    provide three vertices and three `CURVE4` codes.
 
     The code types are:
 
-       - ``STOP``   :  1 vertex (ignored)
-           A marker for the end of the entire path (currently not
-           required and ignored)
+    - `STOP`   :  1 vertex (ignored)
+        A marker for the end of the entire path (currently not required and
+        ignored)
+
+    - `MOVETO` :  1 vertex
+        Pick up the pen and move to the given vertex.
 
-       - ``MOVETO`` :  1 vertex
-            Pick up the pen and move to the given vertex.
+    - `LINETO` :  1 vertex
+        Draw a line from the current position to the given vertex.
 
-       - ``LINETO`` :  1 vertex
-            Draw a line from the current position to the given vertex.
+    - `CURVE3` :  1 control point, 1 endpoint
+        Draw a quadratic Bézier curve from the current position, with the given
+        control point, to the given end point.
 
-       - ``CURVE3`` :  1 control point, 1 endpoint
-          Draw a quadratic Bezier curve from the current position,
-          with the given control point, to the given end point.
+    - `CURVE4` :  2 control points, 1 endpoint
+        Draw a cubic Bézier curve from the current position, with the given
+        control points, to the given end point.
 
-       - ``CURVE4`` :  2 control points, 1 endpoint
-          Draw a cubic Bezier curve from the current position, with
-          the given control points, to the given end point.
+    - `CLOSEPOLY` : 1 vertex (ignored)
+        Draw a line segment to the start point of the current polyline.
 
-       - ``CLOSEPOLY`` : 1 vertex (ignored)
-          Draw a line segment to the start point of the current
-          polyline.
+    If *codes* is None, it is interpreted as a `MOVETO` followed by a series
+    of `LINETO`.
 
-    Users of Path objects should not access the vertices and codes
-    arrays directly.  Instead, they should use :meth:`iter_segments`
-    or :meth:`cleaned` to get the vertex/code pairs.  This is important,
-    since many :class:`Path` objects, as an optimization, do not store a
-    *codes* at all, but have a default one provided for them by
-    :meth:`iter_segments`.
+    Users of Path objects should not access the vertices and codes arrays
+    directly.  Instead, they should use `iter_segments` or `cleaned` to get the
+    vertex/code pairs.  This helps, in particular, to consistently handle the
+    case of *codes* being None.
+
+    Some behavior of Path objects can be controlled by rcParams. See the
+    rcParams whose keys start with 'path.'.
 
     .. note::
 
@@ -78,16 +75,16 @@ class Path(object):
         immutable -- there are a number of optimizations and assumptions
         made up front in the constructor that will not change when the
         data changes.
-
     """
+    code_type = np.uint8
 
     # Path codes
-    STOP = 0         # 1 vertex
-    MOVETO = 1       # 1 vertex
-    LINETO = 2       # 1 vertex
-    CURVE3 = 3       # 2 vertices
-    CURVE4 = 4       # 3 vertices
-    CLOSEPOLY = 79   # 1 vertex
+    STOP = code_type(0)         # 1 vertex
+    MOVETO = code_type(1)       # 1 vertex
+    LINETO = code_type(2)       # 1 vertex
+    CURVE3 = code_type(3)       # 2 vertices
+    CURVE4 = code_type(4)       # 3 vertices
+    CLOSEPOLY = code_type(79)   # 1 vertex
 
     #: A dictionary mapping Path codes to the number of vertices that the
     #: code expects.
@@ -98,8 +95,6 @@ class Path(object):
                              CURVE4: 3,
                              CLOSEPOLY: 1}
 
-    code_type = np.uint8
-
     def __init__(self, vertices, codes=None, _interpolation_steps=1,
                  closed=False, readonly=False):
         """
@@ -107,16 +102,13 @@ def __init__(self, vertices, codes=None, _interpolation_steps=1,
 
         Parameters
         ----------
-        vertices : array_like
-            The ``(n, 2)`` float array, masked array or sequence of pairs
-            representing the vertices of the path.
-
-            If *vertices* contains masked values, they will be converted
-            to NaNs which are then handled correctly by the Agg
-            PathIterator and other consumers of path data, such as
-            :meth:`iter_segments`.
-        codes : {None, array_like}, optional
-            n-length array integers representing the codes of the path.
+        vertices : (N, 2) array-like
+            The path vertices, as an array, masked array or sequence of pairs.
+            Masked values, if any, will be converted to NaNs, which are then
+            handled correctly by the Agg PathIterator and other consumers of
+            path data, such as :meth:`iter_segments`.
+        codes : array-like or None, optional
+            N-length array of integers representing the codes of the path.
             If not None, codes must be the same length as vertices.
             If None, *vertices* will be treated as a series of line segments.
         _interpolation_steps : int, optional
@@ -126,31 +118,33 @@ def __init__(self, vertices, codes=None, _interpolation_steps=1,
             intended for public use.
         closed : bool, optional
             If *codes* is None and closed is True, vertices will be treated as
-            line segments of a closed polygon.
+            line segments of a closed polygon.  Note that the last vertex will
+            then be ignored (as the corresponding code will be set to
+            `CLOSEPOLY`).
         readonly : bool, optional
             Makes the path behave in an immutable way and sets the vertices
             and codes as read-only arrays.
         """
-        if ma.isMaskedArray(vertices):
-            vertices = vertices.astype(np.float_).filled(np.nan)
-        else:
-            vertices = np.asarray(vertices, np.float_)
+        vertices = _to_unmasked_float_array(vertices)
+        _api.check_shape((None, 2), vertices=vertices)
 
-        if codes is not None:
+        if codes is not None and len(vertices):
             codes = np.asarray(codes, self.code_type)
-            assert codes.ndim == 1
-            assert len(codes) == len(vertices)
-            if len(codes):
-                assert codes[0] == self.MOVETO
-        elif closed:
+            if codes.ndim != 1 or len(codes) != len(vertices):
+                raise ValueError("'codes' must be a 1D list or array with the "
+                                 "same length of 'vertices'. "
+                                 f"Your vertices have shape {vertices.shape} "
+                                 f"but your codes have shape {codes.shape}")
+            if len(codes) and codes[0] != self.MOVETO:
+                raise ValueError("The first element of 'code' must be equal "
+                                 f"to 'MOVETO' ({self.MOVETO}).  "
+                                 f"Your first code is {codes[0]}")
+        elif closed and len(vertices):
             codes = np.empty(len(vertices), dtype=self.code_type)
             codes[0] = self.MOVETO
             codes[1:-1] = self.LINETO
             codes[-1] = self.CLOSEPOLY
 
-        assert vertices.ndim == 2
-        assert vertices.shape[1] == 2
-
         self._vertices = vertices
         self._codes = codes
         self._interpolation_steps = _interpolation_steps
@@ -165,55 +159,57 @@ def __init__(self, vertices, codes=None, _interpolation_steps=1,
             self._readonly = False
 
     @classmethod
-    def _fast_from_codes_and_verts(cls, verts, codes, internals=None):
+    def _fast_from_codes_and_verts(cls, verts, codes, internals_from=None):
         """
-        Creates a Path instance without the expense of calling the constructor
+        Create a Path instance without the expense of calling the constructor.
 
         Parameters
         ----------
-        verts : numpy array
-        codes : numpy array (may not be None)
-        internals : dict or None
-            The attributes that the resulting path should have.
-            Allowed keys are ``readonly``, ``should_simplify``,
-            ``simplify_threshold``, ``has_nonfinite`` and
-            ``interpolation_steps``.
-
+        verts : array-like
+        codes : array
+        internals_from : Path or None
+            If not None, another `Path` from which the attributes
+            ``should_simplify``, ``simplify_threshold``, and
+            ``interpolation_steps`` will be copied.  Note that ``readonly`` is
+            never copied, and always set to ``False`` by this constructor.
         """
-        internals = internals or {}
         pth = cls.__new__(cls)
-        pth._vertices = verts
+        pth._vertices = _to_unmasked_float_array(verts)
         pth._codes = codes
-        pth._readonly = internals.pop('readonly', False)
-        pth.should_simplify = internals.pop('should_simplify', True)
-        pth.simplify_threshold = (
-            internals.pop('simplify_threshold',
-                          rcParams['path.simplify_threshold'])
-        )
-        pth._has_nonfinite = internals.pop('has_nonfinite', False)
-        pth._interpolation_steps = internals.pop('interpolation_steps', 1)
-        if internals:
-            raise ValueError('Unexpected internals provided to '
-                             '_fast_from_codes_and_verts: '
-                             '{0}'.format('\n *'.join(six.iterkeys(
-                                 internals
-                             ))))
+        pth._readonly = False
+        if internals_from is not None:
+            pth._should_simplify = internals_from._should_simplify
+            pth._simplify_threshold = internals_from._simplify_threshold
+            pth._interpolation_steps = internals_from._interpolation_steps
+        else:
+            pth._should_simplify = True
+            pth._simplify_threshold = mpl.rcParams['path.simplify_threshold']
+            pth._interpolation_steps = 1
         return pth
 
+    @classmethod
+    def _create_closed(cls, vertices):
+        """
+        Create a closed polygonal path going through *vertices*.
+
+        Unlike ``Path(..., closed=True)``, *vertices* should **not** end with
+        an entry for the CLOSEPATH; this entry is added by `._create_closed`.
+        """
+        v = _to_unmasked_float_array(vertices)
+        return cls(np.concatenate([v, v[:1]]), closed=True)
+
     def _update_values(self):
+        self._simplify_threshold = mpl.rcParams['path.simplify_threshold']
         self._should_simplify = (
-            rcParams['path.simplify'] and
-            (len(self._vertices) >= 128 and
-             (self._codes is None or np.all(self._codes <= Path.LINETO)))
+            self._simplify_threshold > 0 and
+            mpl.rcParams['path.simplify'] and
+            len(self._vertices) >= 128 and
+            (self._codes is None or np.all(self._codes <= Path.LINETO))
         )
-        self._simplify_threshold = rcParams['path.simplify_threshold']
-        self._has_nonfinite = not np.isfinite(self._vertices).all()
 
     @property
     def vertices(self):
-        """
-        The list of vertices in the `Path` as an Nx2 numpy array.
-        """
+        """The vertices of the `Path` as an (N, 2) array."""
         return self._vertices
 
     @vertices.setter
@@ -226,12 +222,12 @@ def vertices(self, vertices):
     @property
     def codes(self):
         """
-        The list of codes in the `Path` as a 1-D numpy array.  Each
-        code is one of `STOP`, `MOVETO`, `LINETO`, `CURVE3`, `CURVE4`
-        or `CLOSEPOLY`.  For codes that correspond to more than one
-        vertex (`CURVE3` and `CURVE4`), that code will be repeated so
-        that the length of `self.vertices` and `self.codes` is always
-        the same.
+        The list of codes in the `Path` as a 1D array.
+
+        Each code is one of `STOP`, `MOVETO`, `LINETO`, `CURVE3`, `CURVE4` or
+        `CLOSEPOLY`.  For codes that correspond to more than one vertex
+        (`CURVE3` and `CURVE4`), that code will be repeated so that the length
+        of `vertices` and `codes` is always the same.
         """
         return self._codes
 
@@ -254,13 +250,6 @@ def simplify_threshold(self):
     def simplify_threshold(self, threshold):
         self._simplify_threshold = threshold
 
-    @property
-    def has_nonfinite(self):
-        """
-        `True` if the vertices array has nonfinite values.
-        """
-        return self._has_nonfinite
-
     @property
     def should_simplify(self):
         """
@@ -279,78 +268,77 @@ def readonly(self):
         """
         return self._readonly
 
-    def __copy__(self):
+    def copy(self):
         """
-        Returns a shallow copy of the `Path`, which will share the
+        Return a shallow copy of the `Path`, which will share the
         vertices and codes with the source `Path`.
         """
-        import copy
         return copy.copy(self)
 
-    copy = __copy__
-
-    def __deepcopy__(self):
+    def __deepcopy__(self, memo=None):
         """
-        Returns a deepcopy of the `Path`.  The `Path` will not be
+        Return a deepcopy of the `Path`.  The `Path` will not be
         readonly, even if the source `Path` is.
         """
-        return self.__class__(
-            self.vertices.copy(), self.codes.copy(),
-            _interpolation_steps=self._interpolation_steps)
+        # Deepcopying arrays (vertices, codes) strips the writeable=False flag.
+        p = copy.deepcopy(super(), memo)
+        p._readonly = False
+        return p
 
     deepcopy = __deepcopy__
 
     @classmethod
     def make_compound_path_from_polys(cls, XY):
         """
-        Make a compound path object to draw a number
-        of polygons with equal numbers of sides XY is a (numpolys x
-        numsides x 2) numpy array of vertices.  Return object is a
-        :class:`Path`
+        Make a compound `Path` object to draw a number of polygons with equal
+        numbers of sides.
 
-        .. plot:: mpl_examples/api/histogram_path_demo.py
+        .. plot:: gallery/misc/histogram_path.py
 
+        Parameters
+        ----------
+        XY : (numpolys, numsides, 2) array
         """
-
         # for each poly: 1 for the MOVETO, (numsides-1) for the LINETO, 1 for
         # the CLOSEPOLY; the vert for the closepoly is ignored but we still
         # need it to keep the codes aligned with the vertices
         numpolys, numsides, two = XY.shape
-        assert(two == 2)
+        if two != 2:
+            raise ValueError("The third dimension of 'XY' must be 2")
         stride = numsides + 1
         nverts = numpolys * stride
         verts = np.zeros((nverts, 2))
-        codes = np.ones(nverts, int) * cls.LINETO
+        codes = np.full(nverts, cls.LINETO, dtype=cls.code_type)
         codes[0::stride] = cls.MOVETO
         codes[numsides::stride] = cls.CLOSEPOLY
         for i in range(numsides):
             verts[i::stride] = XY[:, i]
-
         return cls(verts, codes)
 
     @classmethod
     def make_compound_path(cls, *args):
-        """Make a compound path from a list of Path objects."""
-        lengths = [len(x) for x in args]
-        total_length = sum(lengths)
-
-        vertices = np.vstack([x.vertices for x in args])
-        vertices.reshape((total_length, 2))
-
-        codes = np.empty(total_length, dtype=cls.code_type)
+        r"""
+        Concatenate a list of `Path`\s into a single `Path`, removing all `STOP`\s.
+        """
+        if not args:
+            return Path(np.empty([0, 2], dtype=np.float32))
+        vertices = np.concatenate([path.vertices for path in args])
+        codes = np.empty(len(vertices), dtype=cls.code_type)
         i = 0
         for path in args:
+            size = len(path.vertices)
             if path.codes is None:
-                codes[i] = cls.MOVETO
-                codes[i + 1:i + len(path.vertices)] = cls.LINETO
+                if size:
+                    codes[i] = cls.MOVETO
+                    codes[i+1:i+size] = cls.LINETO
             else:
-                codes[i:i + len(path.codes)] = path.codes
-            i += len(path.vertices)
-
-        return cls(vertices, codes)
+                codes[i:i+size] = path.codes
+            i += size
+        not_stop_mask = codes != cls.STOP  # Remove STOPs, as internal STOPs are a bug.
+        return cls(vertices[not_stop_mask], codes[not_stop_mask])
 
     def __repr__(self):
-        return "Path(%r, %r)" % (self.vertices, self.codes)
+        return f"Path({self.vertices!r}, {self.codes!r})"
 
     def __len__(self):
         return len(self.vertices)
@@ -359,45 +347,42 @@ def iter_segments(self, transform=None, remove_nans=True, clip=None,
                       snap=False, stroke_width=1.0, simplify=None,
                       curves=True, sketch=None):
         """
-        Iterates over all of the curve segments in the path.  Each
-        iteration returns a 2-tuple (*vertices*, *code*), where
-        *vertices* is a sequence of 1 - 3 coordinate pairs, and *code* is
-        one of the :class:`Path` codes.
+        Iterate over all curve segments in the path.
 
-        Additionally, this method can provide a number of standard
-        cleanups and conversions to the path.
+        Each iteration returns a pair ``(vertices, code)``, where ``vertices``
+        is a sequence of 1-3 coordinate pairs, and ``code`` is a `Path` code.
+
+        Additionally, this method can provide a number of standard cleanups and
+        conversions to the path.
 
         Parameters
         ----------
-        transform : None or :class:`~matplotlib.transforms.Transform` instance
-            If not None, the given affine transformation will
-            be applied to the path.
-        remove_nans : {False, True}, optional
-            If True, will remove all NaNs from the path and
-            insert MOVETO commands to skip over them.
-        clip : None or sequence, optional
+        transform : None or :class:`~matplotlib.transforms.Transform`
+            If not None, the given affine transformation will be applied to the
+            path.
+        remove_nans : bool, optional
+            Whether to remove all NaNs from the path and skip over them using
+            MOVETO commands.
+        clip : None or (float, float, float, float), optional
             If not None, must be a four-tuple (x1, y1, x2, y2)
             defining a rectangle in which to clip the path.
         snap : None or bool, optional
-            If None, auto-snap to pixels, to reduce
-            fuzziness of rectilinear lines.  If True, force snapping, and
-            if False, don't snap.
+            If True, snap all nodes to pixels; if False, don't snap them.
+            If None, snap if the path contains only segments
+            parallel to the x or y axes, and no more than 1024 of them.
         stroke_width : float, optional
-            The width of the stroke being drawn.  Needed
-             as a hint for the snapping algorithm.
+            The width of the stroke being drawn (used for path snapping).
         simplify : None or bool, optional
-            If True, perform simplification, to remove
-             vertices that do not affect the appearance of the path.  If
-             False, perform no simplification.  If None, use the
-             should_simplify member variable.
-        curves : {True, False}, optional
-            If True, curve segments will be returned as curve
-            segments.  If False, all curves will be converted to line
-            segments.
+            Whether to simplify the path by removing vertices
+            that do not affect its appearance.  If None, use the
+            :attr:`should_simplify` attribute.  See also :rc:`path.simplify`
+            and :rc:`path.simplify_threshold`.
+        curves : bool, optional
+            If True, curve segments will be returned as curve segments.
+            If False, all curves will be converted to line segments.
         sketch : None or sequence, optional
             If not None, must be a 3-tuple of the form
-            (scale, length, randomness), representing the sketch
-            parameters.
+            (scale, length, randomness), representing the sketch parameters.
         """
         if not len(self):
             return
@@ -407,179 +392,341 @@ def iter_segments(self, transform=None, remove_nans=True, clip=None,
                                snap=snap, stroke_width=stroke_width,
                                simplify=simplify, curves=curves,
                                sketch=sketch)
-        vertices = cleaned.vertices
-        codes = cleaned.codes
-        len_vertices = vertices.shape[0]
 
         # Cache these object lookups for performance in the loop.
         NUM_VERTICES_FOR_CODE = self.NUM_VERTICES_FOR_CODE
         STOP = self.STOP
 
-        i = 0
-        while i < len_vertices:
-            code = codes[i]
+        vertices = iter(cleaned.vertices)
+        codes = iter(cleaned.codes)
+        for curr_vertices, code in zip(vertices, codes):
             if code == STOP:
+                break
+            extra_vertices = NUM_VERTICES_FOR_CODE[code] - 1
+            if extra_vertices:
+                for i in range(extra_vertices):
+                    next(codes)
+                    curr_vertices = np.append(curr_vertices, next(vertices))
+            yield curr_vertices, code
+
+    def iter_bezier(self, **kwargs):
+        """
+        Iterate over each Bézier curve (lines included) in a `Path`.
+
+        Parameters
+        ----------
+        **kwargs
+            Forwarded to `.iter_segments`.
+
+        Yields
+        ------
+        B : `~matplotlib.bezier.BezierSegment`
+            The Bézier curves that make up the current path. Note in particular
+            that freestanding points are Bézier curves of order 0, and lines
+            are Bézier curves of order 1 (with two control points).
+        code : `~matplotlib.path.Path.code_type`
+            The code describing what kind of curve is being returned.
+            `MOVETO`, `LINETO`, `CURVE3`, and `CURVE4` correspond to
+            Bézier curves with 1, 2, 3, and 4 control points (respectively).
+            `CLOSEPOLY` is a `LINETO` with the control points correctly
+            chosen based on the start/end points of the current stroke.
+        """
+        first_vert = None
+        prev_vert = None
+        for verts, code in self.iter_segments(**kwargs):
+            if first_vert is None:
+                if code != Path.MOVETO:
+                    raise ValueError("Malformed path, must start with MOVETO.")
+            if code == Path.MOVETO:  # a point is like "CURVE1"
+                first_vert = verts
+                yield BezierSegment(np.array([first_vert])), code
+            elif code == Path.LINETO:  # "CURVE2"
+                yield BezierSegment(np.array([prev_vert, verts])), code
+            elif code == Path.CURVE3:
+                yield BezierSegment(np.array([prev_vert, verts[:2],
+                                              verts[2:]])), code
+            elif code == Path.CURVE4:
+                yield BezierSegment(np.array([prev_vert, verts[:2],
+                                              verts[2:4], verts[4:]])), code
+            elif code == Path.CLOSEPOLY:
+                yield BezierSegment(np.array([prev_vert, first_vert])), code
+            elif code == Path.STOP:
                 return
             else:
-                num_vertices = NUM_VERTICES_FOR_CODE[code]
-                curr_vertices = vertices[i:i+num_vertices].flatten()
-                yield curr_vertices, code
-                i += num_vertices
+                raise ValueError(f"Invalid Path.code_type: {code}")
+            prev_vert = verts[-2:]
+
+    def _iter_connected_components(self):
+        """Return subpaths split at MOVETOs."""
+        if self.codes is None:
+            yield self
+        else:
+            idxs = np.append((self.codes == Path.MOVETO).nonzero()[0], len(self.codes))
+            for sl in map(slice, idxs, idxs[1:]):
+                yield Path._fast_from_codes_and_verts(
+                    self.vertices[sl], self.codes[sl], self)
 
     def cleaned(self, transform=None, remove_nans=False, clip=None,
-                quantize=False, simplify=False, curves=False,
+                *, simplify=False, curves=False,
                 stroke_width=1.0, snap=False, sketch=None):
         """
-        Cleans up the path according to the parameters returning a new
-        Path instance.
-
-        .. seealso::
-
-            See :meth:`iter_segments` for details of the keyword arguments.
-
-        Returns
-        -------
-        Path instance with cleaned up vertices and codes.
+        Return a new `Path` with vertices and codes cleaned according to the
+        parameters.
 
+        See Also
+        --------
+        Path.iter_segments : for details of the keyword arguments.
         """
-        vertices, codes = _path.cleanup_path(self, transform,
-                                             remove_nans, clip,
-                                             snap, stroke_width,
-                                             simplify, curves, sketch)
-        internals = {'should_simplify': self.should_simplify and not simplify,
-                     'has_nonfinite': self.has_nonfinite and not remove_nans,
-                     'simplify_threshold': self.simplify_threshold,
-                     'interpolation_steps': self._interpolation_steps}
-        return Path._fast_from_codes_and_verts(vertices, codes, internals)
+        vertices, codes = _path.cleanup_path(
+            self, transform, remove_nans, clip, snap, stroke_width, simplify,
+            curves, sketch)
+        pth = Path._fast_from_codes_and_verts(vertices, codes, self)
+        if not simplify:
+            pth._should_simplify = False
+        return pth
 
     def transformed(self, transform):
         """
         Return a transformed copy of the path.
 
-        .. seealso::
-
-            :class:`matplotlib.transforms.TransformedPath`
-                A specialized path class that will cache the
-                transformed result and automatically update when the
-                transform changes.
+        See Also
+        --------
+        matplotlib.transforms.TransformedPath
+            A specialized path class that will cache the transformed result and
+            automatically update when the transform changes.
         """
         return Path(transform.transform(self.vertices), self.codes,
                     self._interpolation_steps)
 
     def contains_point(self, point, transform=None, radius=0.0):
         """
-        Returns *True* if the path contains the given point.
+        Return whether the area enclosed by the path contains the given point.
+
+        The path is always treated as closed; i.e. if the last code is not
+        `CLOSEPOLY` an implicit segment connecting the last vertex to the first
+        vertex is assumed.
+
+        Parameters
+        ----------
+        point : (float, float)
+            The point (x, y) to check.
+        transform : `~matplotlib.transforms.Transform`, optional
+            If not ``None``, *point* will be compared to ``self`` transformed
+            by *transform*; i.e. for a correct check, *transform* should
+            transform the path into the coordinate system of *point*.
+        radius : float, default: 0
+            Additional margin on the path in coordinates of *point*.
+            The path is extended tangentially by *radius/2*; i.e. if you would
+            draw the path with a linewidth of *radius*, all points on the line
+            would still be considered to be contained in the area. Conversely,
+            negative values shrink the area: Points on the imaginary line
+            will be considered outside the area.
 
-        If *transform* is not *None*, the path will be transformed
-        before performing the test.
+        Returns
+        -------
+        bool
+
+        Notes
+        -----
+        The current algorithm has some limitations:
 
-        *radius* allows the path to be made slightly larger or
-        smaller.
+        - The result is undefined for points exactly at the boundary
+          (i.e. at the path shifted by *radius/2*).
+        - The result is undefined if there is no enclosed area, i.e. all
+          vertices are on a straight line.
+        - If bounding lines start to cross each other due to *radius* shift,
+          the result is not guaranteed to be correct.
         """
         if transform is not None:
             transform = transform.frozen()
-        result = _path.point_in_path(point[0], point[1], radius, self,
-                                     transform)
-        return result
+        # `point_in_path` does not handle nonlinear transforms, so we
+        # transform the path ourselves.  If *transform* is affine, letting
+        # `point_in_path` handle the transform avoids allocating an extra
+        # buffer.
+        if transform and not transform.is_affine:
+            self = transform.transform_path(self)
+            transform = None
+        return _path.point_in_path(point[0], point[1], radius, self, transform)
 
     def contains_points(self, points, transform=None, radius=0.0):
         """
-        Returns a bool array which is *True* if the path contains the
-        corresponding point.
+        Return whether the area enclosed by the path contains the given points.
+
+        The path is always treated as closed; i.e. if the last code is not
+        `CLOSEPOLY` an implicit segment connecting the last vertex to the first
+        vertex is assumed.
 
-        If *transform* is not *None*, the path will be transformed
-        before performing the test.
+        Parameters
+        ----------
+        points : (N, 2) array
+            The points to check. Columns contain x and y values.
+        transform : `~matplotlib.transforms.Transform`, optional
+            If not ``None``, *points* will be compared to ``self`` transformed
+            by *transform*; i.e. for a correct check, *transform* should
+            transform the path into the coordinate system of *points*.
+        radius : float, default: 0
+            Additional margin on the path in coordinates of *points*.
+            The path is extended tangentially by *radius/2*; i.e. if you would
+            draw the path with a linewidth of *radius*, all points on the line
+            would still be considered to be contained in the area. Conversely,
+            negative values shrink the area: Points on the imaginary line
+            will be considered outside the area.
 
-        *radius* allows the path to be made slightly larger or
-        smaller.
+        Returns
+        -------
+        length-N bool array
+
+        Notes
+        -----
+        The current algorithm has some limitations:
+
+        - The result is undefined for points exactly at the boundary
+          (i.e. at the path shifted by *radius/2*).
+        - The result is undefined if there is no enclosed area, i.e. all
+          vertices are on a straight line.
+        - If bounding lines start to cross each other due to *radius* shift,
+          the result is not guaranteed to be correct.
         """
         if transform is not None:
             transform = transform.frozen()
         result = _path.points_in_path(points, radius, self, transform)
-        return result
+        return result.astype('bool')
 
     def contains_path(self, path, transform=None):
         """
-        Returns *True* if this path completely contains the given path.
+        Return whether this (closed) path completely contains the given path.
 
-        If *transform* is not *None*, the path will be transformed
-        before performing the test.
+        If *transform* is not ``None``, the path will be transformed before
+        checking for containment.
         """
         if transform is not None:
             transform = transform.frozen()
         return _path.path_in_path(self, None, path, transform)
 
-    def get_extents(self, transform=None):
+    def get_extents(self, transform=None, **kwargs):
         """
-        Returns the extents (*xmin*, *ymin*, *xmax*, *ymax*) of the
-        path.
+        Get Bbox of the path.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`, optional
+            Transform to apply to path before computing extents, if any.
+        **kwargs
+            Forwarded to `.iter_bezier`.
 
-        Unlike computing the extents on the *vertices* alone, this
-        algorithm will take into account the curves and deal with
-        control points appropriately.
+        Returns
+        -------
+        matplotlib.transforms.Bbox
+            The extents of the path Bbox([[xmin, ymin], [xmax, ymax]])
         """
         from .transforms import Bbox
-        path = self
         if transform is not None:
-            transform = transform.frozen()
-            if not transform.is_affine:
-                path = self.transformed(transform)
-                transform = None
-        return Bbox(_path.get_path_extents(path, transform))
+            self = transform.transform_path(self)
+        if self.codes is None:
+            xys = self.vertices
+        elif len(np.intersect1d(self.codes, [Path.CURVE3, Path.CURVE4])) == 0:
+            # Optimization for the straight line case.
+            # Instead of iterating through each curve, consider
+            # each line segment's end-points
+            # (recall that STOP and CLOSEPOLY vertices are ignored)
+            xys = self.vertices[np.isin(self.codes,
+                                        [Path.MOVETO, Path.LINETO])]
+        else:
+            xys = []
+            for curve, code in self.iter_bezier(**kwargs):
+                # places where the derivative is zero can be extrema
+                _, dzeros = curve.axis_aligned_extrema()
+                # as can the ends of the curve
+                xys.append(curve([0, *dzeros, 1]))
+            xys = np.concatenate(xys)
+        if len(xys):
+            return Bbox([xys.min(axis=0), xys.max(axis=0)])
+        else:
+            return Bbox.null()
 
     def intersects_path(self, other, filled=True):
         """
-        Returns *True* if this path intersects another given path.
+        Return whether if this path intersects another given path.
 
-        *filled*, when True, treats the paths as if they were filled.
-        That is, if one path completely encloses the other,
-        :meth:`intersects_path` will return True.
+        If *filled* is True, then this also returns True if one path completely
+        encloses the other (i.e., the paths are treated as filled).
         """
         return _path.path_intersects_path(self, other, filled)
 
     def intersects_bbox(self, bbox, filled=True):
         """
-        Returns *True* if this path intersects a given
-        :class:`~matplotlib.transforms.Bbox`.
+        Return whether this path intersects a given `~.transforms.Bbox`.
 
-        *filled*, when True, treats the path as if it was filled.
-        That is, if one path completely encloses the other,
-        :meth:`intersects_path` will return True.
+        If *filled* is True, then this also returns True if the path completely
+        encloses the `.Bbox` (i.e., the path is treated as filled).
+
+        The bounding box is always considered filled.
         """
-        from .transforms import BboxTransformTo
-        rectangle = self.unit_rectangle().transformed(
-            BboxTransformTo(bbox))
-        result = self.intersects_path(rectangle, filled)
-        return result
+        return _path.path_intersects_rectangle(
+            self, bbox.x0, bbox.y0, bbox.x1, bbox.y1, filled)
 
     def interpolated(self, steps):
         """
-        Returns a new path resampled to length N x steps.  Does not
-        currently handle interpolating curves.
+        Return a new path with each segment divided into *steps* parts.
+
+        Codes other than `LINETO`, `MOVETO`, and `CLOSEPOLY` are not handled correctly.
+
+        Parameters
+        ----------
+        steps : int
+            The number of segments in the new path for each in the original.
+
+        Returns
+        -------
+        Path
+            The interpolated path.
         """
-        if steps == 1:
+        if steps == 1 or len(self) == 0:
             return self
 
-        vertices = simple_linear_interpolation(self.vertices, steps)
+        if self.codes is not None and self.MOVETO in self.codes[1:]:
+            return self.make_compound_path(
+                *(p.interpolated(steps) for p in self._iter_connected_components()))
+
+        if self.codes is not None and self.CLOSEPOLY in self.codes and not np.all(
+                self.vertices[self.codes == self.CLOSEPOLY] == self.vertices[0]):
+            vertices = self.vertices.copy()
+            vertices[self.codes == self.CLOSEPOLY] = vertices[0]
+        else:
+            vertices = self.vertices
+
+        vertices = simple_linear_interpolation(vertices, steps)
         codes = self.codes
         if codes is not None:
-            new_codes = Path.LINETO * np.ones(((len(codes) - 1) * steps + 1, ))
+            new_codes = np.full((len(codes) - 1) * steps + 1, Path.LINETO,
+                                dtype=self.code_type)
             new_codes[0::steps] = codes
         else:
             new_codes = None
         return Path(vertices, new_codes)
 
-    def to_polygons(self, transform=None, width=0, height=0):
+    def to_polygons(self, transform=None, width=0, height=0, closed_only=True):
         """
-        Convert this path to a list of polygons.  Each polygon is an
-        Nx2 array of vertices.  In other words, each polygon has no
-        ``MOVETO`` instructions or curves.  This is useful for
-        displaying in backends that do not support compound paths or
-        Bezier curves, such as GDK.
+        Convert this path to a list of polygons or polylines.  Each
+        polygon/polyline is an (N, 2) array of vertices.  In other words,
+        each polygon has no `MOVETO` instructions or curves.  This
+        is useful for displaying in backends that do not support
+        compound paths or Bézier curves.
 
         If *width* and *height* are both non-zero then the lines will
         be simplified so that vertices outside of (0, 0), (width,
         height) will be clipped.
+
+        The resulting polygons will be simplified if the
+        :attr:`Path.should_simplify` attribute of the path is `True`.
+
+        If *closed_only* is `True` (default), only closed polygons,
+        with the last point being the same as the first point, will be
+        returned.  Any unclosed polylines in the path will be
+        explicitly closed.  If *closed_only* is `False`, any unclosed
+        polygons in the path will be returned as unclosed polygons,
+        and the closed polygons will be returned explicitly closed by
+        setting the last point to the same as the first point.
         """
         if len(self.vertices) == 0:
             return []
@@ -588,30 +735,33 @@ def to_polygons(self, transform=None, width=0, height=0):
             transform = transform.frozen()
 
         if self.codes is None and (width == 0 or height == 0):
+            vertices = self.vertices
+            if closed_only:
+                if len(vertices) < 3:
+                    return []
+                elif np.any(vertices[0] != vertices[-1]):
+                    vertices = [*vertices, vertices[0]]
+
             if transform is None:
-                return [self.vertices]
+                return [vertices]
             else:
-                return [transform.transform(self.vertices)]
+                return [transform.transform(vertices)]
 
         # Deal with the case where there are curves and/or multiple
         # subpaths (using extension code)
-        return _path.convert_path_to_polygons(self, transform, width, height)
+        return _path.convert_path_to_polygons(
+            self, transform, width, height, closed_only)
 
     _unit_rectangle = None
 
     @classmethod
     def unit_rectangle(cls):
         """
-        Return a :class:`Path` instance of the unit rectangle
-        from (0, 0) to (1, 1).
+        Return a `Path` instance of the unit rectangle from (0, 0) to (1, 1).
         """
         if cls._unit_rectangle is None:
-            cls._unit_rectangle = \
-                cls([[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0],
-                     [0.0, 0.0]],
-                    [cls.MOVETO, cls.LINETO, cls.LINETO, cls.LINETO,
-                     cls.CLOSEPOLY],
-                    readonly=True)
+            cls._unit_rectangle = cls([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]],
+                                      closed=True, readonly=True)
         return cls._unit_rectangle
 
     _unit_regular_polygons = WeakValueDictionary()
@@ -619,8 +769,8 @@ def unit_rectangle(cls):
     @classmethod
     def unit_regular_polygon(cls, numVertices):
         """
-        Return a :class:`Path` instance for a unit regular
-        polygon with the given *numVertices* and radius of 1.0,
+        Return a :class:`Path` instance for a unit regular polygon with the
+        given *numVertices* such that the circumscribing circle has radius 1.0,
         centered at (0, 0).
         """
         if numVertices <= 16:
@@ -628,17 +778,12 @@ def unit_regular_polygon(cls, numVertices):
         else:
             path = None
         if path is None:
-            theta = (2*np.pi/numVertices *
-                     np.arange(numVertices + 1).reshape((numVertices + 1, 1)))
-            # This initial rotation is to make sure the polygon always
-            # "points-up"
-            theta += np.pi / 2.0
-            verts = np.concatenate((np.cos(theta), np.sin(theta)), 1)
-            codes = np.empty((numVertices + 1,))
-            codes[0] = cls.MOVETO
-            codes[1:-1] = cls.LINETO
-            codes[-1] = cls.CLOSEPOLY
-            path = cls(verts, codes, readonly=True)
+            theta = ((2 * np.pi / numVertices) * np.arange(numVertices + 1)
+                     # This initial rotation is to make sure the polygon always
+                     # "points-up".
+                     + np.pi / 2)
+            verts = np.column_stack((np.cos(theta), np.sin(theta)))
+            path = cls(verts, closed=True, readonly=True)
             if numVertices <= 16:
                 cls._unit_regular_polygons[numVertices] = path
         return path
@@ -648,9 +793,8 @@ def unit_regular_polygon(cls, numVertices):
     @classmethod
     def unit_regular_star(cls, numVertices, innerCircle=0.5):
         """
-        Return a :class:`Path` for a unit regular star
-        with the given numVertices and radius of 1.0, centered at (0,
-        0).
+        Return a :class:`Path` for a unit regular star with the given
+        numVertices and radius of 1.0, centered at (0, 0).
         """
         if numVertices <= 16:
             path = cls._unit_regular_stars.get((numVertices, innerCircle))
@@ -664,22 +808,17 @@ def unit_regular_star(cls, numVertices, innerCircle=0.5):
             theta += np.pi / 2.0
             r = np.ones(ns2 + 1)
             r[1::2] = innerCircle
-            verts = np.vstack((r*np.cos(theta), r*np.sin(theta))).transpose()
-            codes = np.empty((ns2 + 1,))
-            codes[0] = cls.MOVETO
-            codes[1:-1] = cls.LINETO
-            codes[-1] = cls.CLOSEPOLY
-            path = cls(verts, codes, readonly=True)
+            verts = (r * np.vstack((np.cos(theta), np.sin(theta)))).T
+            path = cls(verts, closed=True, readonly=True)
             if numVertices <= 16:
-                cls._unit_regular_polygons[(numVertices, innerCircle)] = path
+                cls._unit_regular_stars[(numVertices, innerCircle)] = path
         return path
 
     @classmethod
     def unit_regular_asterisk(cls, numVertices):
         """
-        Return a :class:`Path` for a unit regular
-        asterisk with the given numVertices and radius of 1.0,
-        centered at (0, 0).
+        Return a :class:`Path` for a unit regular asterisk with the given
+        numVertices and radius of 1.0, centered at (0, 0).
         """
         return cls.unit_regular_star(numVertices, 0.0)
 
@@ -691,7 +830,6 @@ def unit_circle(cls):
         Return the readonly :class:`Path` of the unit circle.
 
         For most cases, :func:`Path.circle` will be what you want.
-
         """
         if cls._unit_circle is None:
             cls._unit_circle = cls.circle(center=(0, 0), radius=1,
@@ -701,31 +839,28 @@ def unit_circle(cls):
     @classmethod
     def circle(cls, center=(0., 0.), radius=1., readonly=False):
         """
-        Return a Path representing a circle of a given radius and center.
+        Return a `Path` representing a circle of a given radius and center.
 
         Parameters
         ----------
-        center : pair of floats
-            The center of the circle. Default ``(0, 0)``.
-        radius : float
-            The radius of the circle. Default is 1.
+        center : (float, float), default: (0, 0)
+            The center of the circle.
+        radius : float, default: 1
+            The radius of the circle.
         readonly : bool
             Whether the created path should have the "readonly" argument
             set when creating the Path instance.
 
         Notes
         -----
-        The circle is approximated using cubic Bezier curves.  This
-        uses 8 splines around the circle using the approach presented
-        here:
+        The circle is approximated using 8 cubic Bézier curves, as described in
 
           Lancaster, Don.  `Approximating a Circle or an Ellipse Using Four
-          Bezier Cubic Splines <http://www.tinaja.com/glib/ellipse4.pdf>`_.
-
+          Bezier Cubic Splines <https://www.tinaja.com/glib/ellipse4.pdf>`_.
         """
         MAGIC = 0.2652031
         SQRTHALF = np.sqrt(0.5)
-        MAGIC45 = np.sqrt((MAGIC*MAGIC) / 2.0)
+        MAGIC45 = SQRTHALF * MAGIC
 
         vertices = np.array([[0.0, -1.0],
 
@@ -762,7 +897,7 @@ def circle(cls, center=(0., 0.), radius=1., readonly=False):
                              [0.0, -1.0],
 
                              [0.0, -1.0]],
-                            dtype=np.float_)
+                            dtype=float)
 
         codes = [cls.CURVE4] * 26
         codes[0] = cls.MOVETO
@@ -774,18 +909,14 @@ def circle(cls, center=(0., 0.), radius=1., readonly=False):
     @classmethod
     def unit_circle_righthalf(cls):
         """
-        Return a :class:`Path` of the right half
-        of a unit circle. The circle is approximated using cubic Bezier
-        curves.  This uses 4 splines around the circle using the approach
-        presented here:
+        Return a `Path` of the right half of a unit circle.
 
-          Lancaster, Don.  `Approximating a Circle or an Ellipse Using Four
-          Bezier Cubic Splines <http://www.tinaja.com/glib/ellipse4.pdf>`_.
+        See `Path.circle` for the reference on the approximation used.
         """
         if cls._unit_circle_righthalf is None:
             MAGIC = 0.2652031
             SQRTHALF = np.sqrt(0.5)
-            MAGIC45 = np.sqrt((MAGIC*MAGIC) / 2.0)
+            MAGIC45 = SQRTHALF * MAGIC
 
             vertices = np.array(
                 [[0.0, -1.0],
@@ -808,9 +939,9 @@ def unit_circle_righthalf(cls):
 
                  [0.0, -1.0]],
 
-                np.float_)
+                float)
 
-            codes = cls.CURVE4 * np.ones(14)
+            codes = np.full(14, cls.CURVE4, dtype=cls.code_type)
             codes[0] = cls.MOVETO
             codes[-1] = cls.CLOSEPOLY
 
@@ -820,8 +951,12 @@ def unit_circle_righthalf(cls):
     @classmethod
     def arc(cls, theta1, theta2, n=None, is_wedge=False):
         """
-        Return an arc on the unit circle from angle
-        *theta1* to angle *theta2* (in degrees).
+        Return a `Path` for the unit circle arc from angles *theta1* to
+        *theta2* (in degrees).
+
+        *theta2* is unwrapped to produce the shortest arc within 360 degrees.
+        That is, if *theta2* > *theta1* + 360, the arc will be from *theta1* to
+        *theta2* - 360 and not a full circle plus some extra overlap.
 
         If *n* is provided, it is the number of spline segments to make.
         If *n* is not provided, the number of spline segments is
@@ -829,18 +964,17 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
 
            Masionobe, L.  2003.  `Drawing an elliptical arc using
            polylines, quadratic or cubic Bezier curves
-           <http://www.spaceroots.org/documents/ellipse/index.html>`_.
+           <https://web.archive.org/web/20190318044212/http://www.spaceroots.org/documents/ellipse/index.html>`_.
         """
-        # degrees to radians
-        theta1 *= np.pi / 180.0
-        theta2 *= np.pi / 180.0
-
-        twopi = np.pi * 2.0
         halfpi = np.pi * 0.5
 
-        eta1 = np.arctan2(np.sin(theta1), np.cos(theta1))
-        eta2 = np.arctan2(np.sin(theta2), np.cos(theta2))
-        eta2 -= twopi * np.floor((eta2 - eta1) / twopi)
+        eta1 = theta1
+        eta2 = theta2 - 360 * np.floor((theta2 - theta1) / 360)
+        # Ensure 2pi range is not flattened to 0 due to floating-point errors,
+        # but don't try to expand existing 0 range.
+        if theta2 != theta1 and eta2 <= eta1:
+            eta2 += 360
+        eta1, eta2 = np.deg2rad([eta1, eta2])
 
         # number of curve segments to make
         if n is None:
@@ -868,8 +1002,8 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
 
         if is_wedge:
             length = n * 3 + 4
-            vertices = np.zeros((length, 2), np.float_)
-            codes = cls.CURVE4 * np.ones((length, ), cls.code_type)
+            vertices = np.zeros((length, 2), float)
+            codes = np.full(length, cls.CURVE4, dtype=cls.code_type)
             vertices[1] = [xA[0], yA[0]]
             codes[0:2] = [cls.MOVETO, cls.LINETO]
             codes[-2:] = [cls.LINETO, cls.CLOSEPOLY]
@@ -877,8 +1011,8 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
             end = length - 2
         else:
             length = n * 3 + 1
-            vertices = np.empty((length, 2), np.float_)
-            codes = cls.CURVE4 * np.ones((length, ), cls.code_type)
+            vertices = np.empty((length, 2), float)
+            codes = np.full(length, cls.CURVE4, dtype=cls.code_type)
             vertices[0] = [xA[0], yA[0]]
             codes[0] = cls.MOVETO
             vertex_offset = 1
@@ -896,36 +1030,32 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
     @classmethod
     def wedge(cls, theta1, theta2, n=None):
         """
-        Return a wedge of the unit circle from angle
-        *theta1* to angle *theta2* (in degrees).
+        Return a `Path` for the unit circle wedge from angles *theta1* to
+        *theta2* (in degrees).
+
+        *theta2* is unwrapped to produce the shortest wedge within 360 degrees.
+        That is, if *theta2* > *theta1* + 360, the wedge will be from *theta1*
+        to *theta2* - 360 and not a full circle plus some extra overlap.
 
         If *n* is provided, it is the number of spline segments to make.
         If *n* is not provided, the number of spline segments is
         determined based on the delta between *theta1* and *theta2*.
+
+        See `Path.arc` for the reference on the approximation used.
         """
         return cls.arc(theta1, theta2, n, True)
 
-    _hatch_dict = maxdict(8)
-
-    @classmethod
-    def hatch(cls, hatchpattern, density=6):
+    @staticmethod
+    @lru_cache(8)
+    def hatch(hatchpattern, density=6):
         """
-        Given a hatch specifier, *hatchpattern*, generates a Path that
+        Given a hatch specifier, *hatchpattern*, generates a `Path` that
         can be used in a repeated hatching pattern.  *density* is the
         number of lines per unit square.
         """
         from matplotlib.hatch import get_path
-
-        if hatchpattern is None:
-            return None
-
-        hatch_path = cls._hatch_dict.get((hatchpattern, density))
-        if hatch_path is not None:
-            return hatch_path
-
-        hatch_path = get_path(hatchpattern, density)
-        cls._hatch_dict[(hatchpattern, density)] = hatch_path
-        return hatch_path
+        return (get_path(hatchpattern, density)
+                if hatchpattern is not None else None)
 
     def clip_to_bbox(self, bbox, inside=True):
         """
@@ -937,7 +1067,6 @@ def clip_to_bbox(self, bbox, inside=True):
         If *inside* is `True`, clip to the inside of the box, otherwise
         to the outside of the box.
         """
-        # Use make_compound_path_from_polys
         verts = _path.clip_path_to_rect(self, bbox, inside)
         paths = [Path(poly) for poly in verts]
         return self.make_compound_path(*paths)
@@ -945,75 +1074,40 @@ def clip_to_bbox(self, bbox, inside=True):
 
 def get_path_collection_extents(
         master_transform, paths, transforms, offsets, offset_transform):
-    """
-    Given a sequence of :class:`Path` objects,
-    :class:`~matplotlib.transforms.Transform` objects and offsets, as
-    found in a :class:`~matplotlib.collections.PathCollection`,
-    returns the bounding box that encapsulates all of them.
-
-    *master_transform* is a global transformation to apply to all paths
-
-    *paths* is a sequence of :class:`Path` instances.
-
-    *transforms* is a sequence of
-    :class:`~matplotlib.transforms.Affine2D` instances.
-
-    *offsets* is a sequence of (x, y) offsets (or an Nx2 array)
-
-    *offset_transform* is a :class:`~matplotlib.transforms.Affine2D`
-    to apply to the offsets before applying the offset to the path.
-
-    The way that *paths*, *transforms* and *offsets* are combined
-    follows the same method as for collections.  Each is iterated over
-    independently, so if you have 3 paths, 2 transforms and 1 offset,
-    their combinations are as follows:
-
-        (A, A, A), (B, B, A), (C, A, A)
+    r"""
+    Get bounding box of a `.PathCollection`\s internal objects.
+
+    That is, given a sequence of `Path`\s, `.Transform`\s objects, and offsets, as found
+    in a `.PathCollection`, return the bounding box that encapsulates all of them.
+
+    Parameters
+    ----------
+    master_transform : `~matplotlib.transforms.Transform`
+        Global transformation applied to all paths.
+    paths : list of `Path`
+    transforms : list of `~matplotlib.transforms.Affine2DBase`
+        If non-empty, this overrides *master_transform*.
+    offsets : (N, 2) array-like
+    offset_transform : `~matplotlib.transforms.Affine2DBase`
+        Transform applied to the offsets before offsetting the path.
+
+    Notes
+    -----
+    The way that *paths*, *transforms* and *offsets* are combined follows the same
+    method as for collections: each is iterated over independently, so if you have 3
+    paths (A, B, C), 2 transforms (α, β) and 1 offset (O), their combinations are as
+    follows:
+
+    - (A, α, O)
+    - (B, β, O)
+    - (C, α, O)
     """
     from .transforms import Bbox
     if len(paths) == 0:
         raise ValueError("No paths provided")
-    return Bbox.from_extents(*_path.get_path_collection_extents(
-        master_transform, paths, transforms, offsets, offset_transform))
-
-
-def get_paths_extents(paths, transforms=[]):
-    """
-    Given a sequence of :class:`Path` objects and optional
-    :class:`~matplotlib.transforms.Transform` objects, returns the
-    bounding box that encapsulates all of them.
-
-    *paths* is a sequence of :class:`Path` instances.
-
-    *transforms* is an optional sequence of
-    :class:`~matplotlib.transforms.Affine2D` instances to apply to
-    each path.
-    """
-    from .transforms import Bbox, Affine2D
-    if len(paths) == 0:
-        raise ValueError("No paths provided")
-    return Bbox.from_extents(*_path.get_path_collection_extents(
-        Affine2D(), paths, transforms, [], Affine2D()))
-
-
-def _define_deprecated_functions(ns):
-    from .cbook import deprecated
-
-    # The C++ functions are not meant to be used directly.
-    # Users should use the more pythonic wrappers in the Path
-    # class instead.
-    for func, alternative in [
-            ('point_in_path', 'path.Path.contains_point'),
-            ('get_path_extents', 'path.Path.get_extents'),
-            ('point_in_path_collection', 'collection.Collection.contains'),
-            ('path_in_path', 'path.Path.contains_path'),
-            ('path_intersects_path', 'path.Path.intersects_path'),
-            ('convert_path_to_polygons', 'path.Path.to_polygons'),
-            ('cleanup_path', 'path.Path.cleaned'),
-            ('points_in_path', 'path.Path.contains_points'),
-            ('clip_path_to_rect', 'path.Path.clip_to_bbox')]:
-        ns[func] = deprecated(
-            since='1.3', alternative=alternative)(getattr(_path, func))
-
-
-_define_deprecated_functions(locals())
+    if len(offsets) == 0:
+        raise ValueError("No offsets provided")
+    extents, minpos = _path.get_path_collection_extents(
+        master_transform, paths, np.atleast_3d(transforms),
+        offsets, offset_transform)
+    return Bbox.from_extents(*extents, minpos=minpos)
diff --git a/lib/matplotlib/path.pyi b/lib/matplotlib/path.pyi
new file mode 100644
index 000000000000..464fc6d9a912
--- /dev/null
+++ b/lib/matplotlib/path.pyi
@@ -0,0 +1,140 @@
+from .bezier import BezierSegment
+from .transforms import Affine2D, Transform, Bbox
+from collections.abc import Generator, Iterable, Sequence
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+from typing import Any, overload
+
+class Path:
+    code_type: type[np.uint8]
+    STOP: np.uint8
+    MOVETO: np.uint8
+    LINETO: np.uint8
+    CURVE3: np.uint8
+    CURVE4: np.uint8
+    CLOSEPOLY: np.uint8
+    NUM_VERTICES_FOR_CODE: dict[np.uint8, int]
+
+    def __init__(
+        self,
+        vertices: ArrayLike,
+        codes: ArrayLike | None = ...,
+        _interpolation_steps: int = ...,
+        closed: bool = ...,
+        readonly: bool = ...,
+    ) -> None: ...
+    @property
+    def vertices(self) -> ArrayLike: ...
+    @vertices.setter
+    def vertices(self, vertices: ArrayLike) -> None: ...
+    @property
+    def codes(self) -> ArrayLike | None: ...
+    @codes.setter
+    def codes(self, codes: ArrayLike) -> None: ...
+    @property
+    def simplify_threshold(self) -> float: ...
+    @simplify_threshold.setter
+    def simplify_threshold(self, threshold: float) -> None: ...
+    @property
+    def should_simplify(self) -> bool: ...
+    @should_simplify.setter
+    def should_simplify(self, should_simplify: bool) -> None: ...
+    @property
+    def readonly(self) -> bool: ...
+    def copy(self) -> Path: ...
+    def __deepcopy__(self, memo: dict[int, Any] | None = ...) -> Path: ...
+    deepcopy = __deepcopy__
+
+    @classmethod
+    def make_compound_path_from_polys(cls, XY: ArrayLike) -> Path: ...
+    @classmethod
+    def make_compound_path(cls, *args: Path) -> Path: ...
+    def __len__(self) -> int: ...
+    def iter_segments(
+        self,
+        transform: Transform | None = ...,
+        remove_nans: bool = ...,
+        clip: tuple[float, float, float, float] | None = ...,
+        snap: bool | None = ...,
+        stroke_width: float = ...,
+        simplify: bool | None = ...,
+        curves: bool = ...,
+        sketch: tuple[float, float, float] | None = ...,
+    ) -> Generator[tuple[np.ndarray, np.uint8], None, None]: ...
+    def iter_bezier(self, **kwargs) -> Generator[BezierSegment, None, None]: ...
+    def cleaned(
+        self,
+        transform: Transform | None = ...,
+        remove_nans: bool = ...,
+        clip: tuple[float, float, float, float] | None = ...,
+        *,
+        simplify: bool | None = ...,
+        curves: bool = ...,
+        stroke_width: float = ...,
+        snap: bool | None = ...,
+        sketch: tuple[float, float, float] | None = ...
+    ) -> Path: ...
+    def transformed(self, transform: Transform) -> Path: ...
+    def contains_point(
+        self,
+        point: tuple[float, float],
+        transform: Transform | None = ...,
+        radius: float = ...,
+    ) -> bool: ...
+    def contains_points(
+        self, points: ArrayLike, transform: Transform | None = ..., radius: float = ...
+    ) -> np.ndarray: ...
+    def contains_path(self, path: Path, transform: Transform | None = ...) -> bool: ...
+    def get_extents(self, transform: Transform | None = ..., **kwargs) -> Bbox: ...
+    def intersects_path(self, other: Path, filled: bool = ...) -> bool: ...
+    def intersects_bbox(self, bbox: Bbox, filled: bool = ...) -> bool: ...
+    def interpolated(self, steps: int) -> Path: ...
+    def to_polygons(
+        self,
+        transform: Transform | None = ...,
+        width: float = ...,
+        height: float = ...,
+        closed_only: bool = ...,
+    ) -> list[ArrayLike]: ...
+    @classmethod
+    def unit_rectangle(cls) -> Path: ...
+    @classmethod
+    def unit_regular_polygon(cls, numVertices: int) -> Path: ...
+    @classmethod
+    def unit_regular_star(cls, numVertices: int, innerCircle: float = ...) -> Path: ...
+    @classmethod
+    def unit_regular_asterisk(cls, numVertices: int) -> Path: ...
+    @classmethod
+    def unit_circle(cls) -> Path: ...
+    @classmethod
+    def circle(
+        cls,
+        center: tuple[float, float] = ...,
+        radius: float = ...,
+        readonly: bool = ...,
+    ) -> Path: ...
+    @classmethod
+    def unit_circle_righthalf(cls) -> Path: ...
+    @classmethod
+    def arc(
+        cls, theta1: float, theta2: float, n: int | None = ..., is_wedge: bool = ...
+    ) -> Path: ...
+    @classmethod
+    def wedge(cls, theta1: float, theta2: float, n: int | None = ...) -> Path: ...
+    @overload
+    @staticmethod
+    def hatch(hatchpattern: str, density: float = ...) -> Path: ...
+    @overload
+    @staticmethod
+    def hatch(hatchpattern: None, density: float = ...) -> None: ...
+    def clip_to_bbox(self, bbox: Bbox, inside: bool = ...) -> Path: ...
+
+def get_path_collection_extents(
+    master_transform: Transform,
+    paths: Sequence[Path],
+    transforms: Iterable[Affine2D],
+    offsets: ArrayLike,
+    offset_transform: Affine2D,
+) -> Bbox: ...
diff --git a/lib/matplotlib/patheffects.py b/lib/matplotlib/patheffects.py
index 13f8ce076857..e12713e2796e 100644
--- a/lib/matplotlib/patheffects.py
+++ b/lib/matplotlib/patheffects.py
@@ -1,59 +1,47 @@
 """
-Defines classes for path effects. The path effects are supported in
-:class:`~matplotlib.text.Text`, :class:`~matplotlib.lines.Line2D`
-and :class:`~matplotlib.patches.Patch`.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+Defines classes for path effects. The path effects are supported in `.Text`,
+`.Line2D` and `.Patch`.
 
-import six
+.. seealso::
+   :ref:`patheffects_guide`
+"""
 
 from matplotlib.backend_bases import RendererBase
-from matplotlib.backends.backend_mixed import MixedModeRenderer
-import matplotlib.transforms as mtransforms
-import matplotlib.cbook as cbook
-from matplotlib.colors import colorConverter
-import matplotlib.patches as mpatches
+from matplotlib import colors as mcolors
+from matplotlib import patches as mpatches
+from matplotlib import transforms as mtransforms
+from matplotlib.path import Path
+import numpy as np
 
 
-class AbstractPathEffect(object):
+class AbstractPathEffect:
     """
     A base class for path effects.
 
     Subclasses should override the ``draw_path`` method to add effect
     functionality.
-
     """
+
     def __init__(self, offset=(0., 0.)):
         """
         Parameters
         ----------
-        offset : pair of floats
-            The offset to apply to the path, measured in points.
+        offset : (float, float), default: (0, 0)
+            The (x, y) offset to apply to the path, measured in points.
         """
         self._offset = offset
-        self._offset_trans = mtransforms.Affine2D()
 
-    def _offset_transform(self, renderer, transform):
+    def _offset_transform(self, renderer):
         """Apply the offset to the given transform."""
-        offset_x = renderer.points_to_pixels(self._offset[0])
-        offset_y = renderer.points_to_pixels(self._offset[1])
-        return transform + self._offset_trans.clear().translate(offset_x,
-                                                                offset_y)
-
-    def get_proxy_renderer(self, renderer):
-        """Return a PathEffectRenderer instance for this PathEffect."""
-        cbook.deprecated('v1.4', name='get_proxy_renderer',
-                         alternative='PathEffectRenderer')
-        return PathEffectRenderer([self], renderer)
+        return mtransforms.Affine2D().translate(
+            *map(renderer.points_to_pixels, self._offset))
 
     def _update_gc(self, gc, new_gc_dict):
         """
-        Update the given GraphicsCollection with the given
-        dictionary of properties. The keys in the dictionary are used to
-        identify the appropriate set_ method on the gc.
+        Update the given GraphicsContext with the given dict of properties.
 
+        The keys in the dictionary are used to identify the appropriate
+        ``set_`` method on the *gc*.
         """
         new_gc_dict = new_gc_dict.copy()
 
@@ -61,10 +49,10 @@ def _update_gc(self, gc, new_gc_dict):
         if dashes:
             gc.set_dashes(**dashes)
 
-        for k, v in six.iteritems(new_gc_dict):
+        for k, v in new_gc_dict.items():
             set_method = getattr(gc, 'set_' + k, None)
-            if set_method is None or not six.callable(set_method):
-                raise AttributeError('Unknown property {}'.format(k))
+            if not callable(set_method):
+                raise AttributeError(f'Unknown property {k}')
             set_method(v)
         return gc
 
@@ -73,7 +61,6 @@ def draw_path(self, renderer, gc, tpath, affine, rgbFace=None):
         Derived should override this method. The arguments are the same
         as :meth:`matplotlib.backend_bases.RendererBase.draw_path`
         except the first argument is a renderer.
-
         """
         # Get the real renderer, not a PathEffectRenderer.
         if isinstance(renderer, PathEffectRenderer):
@@ -92,15 +79,15 @@ class PathEffectRenderer(RendererBase):
         Not all methods have been overridden on this RendererBase subclass.
         It may be necessary to add further methods to extend the PathEffects
         capabilities further.
-
     """
+
     def __init__(self, path_effects, renderer):
         """
         Parameters
         ----------
         path_effects : iterable of :class:`AbstractPathEffect`
             The path effects which this renderer represents.
-        renderer : :class:`matplotlib.backend_bases.RendererBase` instance
+        renderer : `~matplotlib.backend_bases.RendererBase` subclass
 
         """
         self._path_effects = path_effects
@@ -109,22 +96,28 @@ def __init__(self, path_effects, renderer):
     def copy_with_path_effect(self, path_effects):
         return self.__class__(path_effects, self._renderer)
 
+    def __getattribute__(self, name):
+        if name in ['flipy', 'get_canvas_width_height', 'new_gc',
+                    'points_to_pixels', '_text2path', 'height', 'width']:
+            return getattr(self._renderer, name)
+        else:
+            return object.__getattribute__(self, name)
+
     def draw_path(self, gc, tpath, affine, rgbFace=None):
         for path_effect in self._path_effects:
             path_effect.draw_path(self._renderer, gc, tpath, affine,
                                   rgbFace)
 
-    def draw_markers(self, gc, marker_path, marker_trans, path, *args,
-                             **kwargs):
+    def draw_markers(
+            self, gc, marker_path, marker_trans, path, *args, **kwargs):
         # We do a little shimmy so that all markers are drawn for each path
         # effect in turn. Essentially, we induce recursion (depth 1) which is
         # terminated once we have just a single path effect to work with.
         if len(self._path_effects) == 1:
             # Call the base path effect function - this uses the unoptimised
             # approach of calling "draw_path" multiple times.
-            return RendererBase.draw_markers(self, gc, marker_path,
-                                             marker_trans, path, *args,
-                                             **kwargs)
+            return super().draw_markers(gc, marker_path, marker_trans, path,
+                                        *args, **kwargs)
 
         for path_effect in self._path_effects:
             renderer = self.copy_with_path_effect([path_effect])
@@ -141,9 +134,8 @@ def draw_path_collection(self, gc, master_transform, paths, *args,
         if len(self._path_effects) == 1:
             # Call the base path effect function - this uses the unoptimised
             # approach of calling "draw_path" multiple times.
-            return RendererBase.draw_path_collection(self, gc,
-                                                     master_transform, paths,
-                                                     *args, **kwargs)
+            return super().draw_path_collection(gc, master_transform, paths,
+                                                *args, **kwargs)
 
         for path_effect in self._path_effects:
             renderer = self.copy_with_path_effect([path_effect])
@@ -152,22 +144,11 @@ def draw_path_collection(self, gc, master_transform, paths, *args,
             renderer.draw_path_collection(gc, master_transform, paths,
                                           *args, **kwargs)
 
-    def points_to_pixels(self, points):
-        return self._renderer.points_to_pixels(points)
+    def open_group(self, s, gid=None):
+        return self._renderer.open_group(s, gid)
 
-    def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath):
-        # Implements the naive text drawing as is found in RendererBase.
-        path, transform = self._get_text_path_transform(x, y, s, prop,
-                                                        angle, ismath)
-        color = gc.get_rgb()
-        gc.set_linewidth(0.0)
-        self.draw_path(gc, path, transform, rgbFace=color)
-
-    def __getattribute__(self, name):
-        if name in ['_text2path', 'flipy', 'height', 'width']:
-            return getattr(self._renderer, name)
-        else:
-            return object.__getattribute__(self, name)
+    def close_group(self, s):
+        return self._renderer.close_group(s)
 
 
 class Normal(AbstractPathEffect):
@@ -177,88 +158,92 @@ class Normal(AbstractPathEffect):
     The Normal PathEffect's sole purpose is to draw the original artist with
     no special path effect.
     """
-    pass
+
+
+def _subclass_with_normal(effect_class):
+    """
+    Create a PathEffect class combining *effect_class* and a normal draw.
+    """
+
+    class withEffect(effect_class):
+        def draw_path(self, renderer, gc, tpath, affine, rgbFace):
+            super().draw_path(renderer, gc, tpath, affine, rgbFace)
+            renderer.draw_path(gc, tpath, affine, rgbFace)
+
+    withEffect.__name__ = f"with{effect_class.__name__}"
+    withEffect.__qualname__ = f"with{effect_class.__name__}"
+    withEffect.__doc__ = f"""
+    A shortcut PathEffect for applying `.{effect_class.__name__}` and then
+    drawing the original Artist.
+
+    With this class you can use ::
+
+        artist.set_path_effects([patheffects.with{effect_class.__name__}()])
+
+    as a shortcut for ::
+
+        artist.set_path_effects([patheffects.{effect_class.__name__}(),
+                                 patheffects.Normal()])
+    """
+    # Docstring inheritance doesn't work for locally-defined subclasses.
+    withEffect.draw_path.__doc__ = effect_class.draw_path.__doc__
+    return withEffect
 
 
 class Stroke(AbstractPathEffect):
     """A line based PathEffect which re-draws a stroke."""
+
     def __init__(self, offset=(0, 0), **kwargs):
         """
         The path will be stroked with its gc updated with the given
         keyword arguments, i.e., the keyword arguments should be valid
         gc parameter values.
         """
-        super(Stroke, self).__init__(offset)
+        super().__init__(offset)
         self._gc = kwargs
 
     def draw_path(self, renderer, gc, tpath, affine, rgbFace):
-        """
-        draw the path with updated gc.
-        """
-        # Do not modify the input! Use copy instead.
-
-        gc0 = renderer.new_gc()
+        """Draw the path with updated gc."""
+        gc0 = renderer.new_gc()  # Don't modify gc, but a copy!
         gc0.copy_properties(gc)
-
         gc0 = self._update_gc(gc0, self._gc)
-        trans = self._offset_transform(renderer, affine)
-        renderer.draw_path(gc0, tpath, trans, rgbFace)
+        renderer.draw_path(
+            gc0, tpath, affine + self._offset_transform(renderer), rgbFace)
         gc0.restore()
 
 
-class withStroke(Stroke):
-    """
-    Adds a simple :class:`Stroke` and then draws the
-    original Artist to avoid needing to call :class:`Normal`.
-
-    """
-    def draw_path(self, renderer, gc, tpath, affine, rgbFace):
-        Stroke.draw_path(self, renderer, gc, tpath, affine, rgbFace)
-        renderer.draw_path(gc, tpath, affine, rgbFace)
+withStroke = _subclass_with_normal(effect_class=Stroke)
 
 
 class SimplePatchShadow(AbstractPathEffect):
     """A simple shadow via a filled patch."""
-    def __init__(self, offset=(2,-2),
-                 shadow_rgbFace=None, alpha=None, patch_alpha=None,
-                 rho=0.3, offset_xy=None, **kwargs):
+
+    def __init__(self, offset=(2, -2),
+                 shadow_rgbFace=None, alpha=None,
+                 rho=0.3, **kwargs):
         """
         Parameters
         ----------
-        offset : pair of floats
-            The offset of the shadow in points.
-        shadow_rgbFace : color
+        offset : (float, float), default: (2, -2)
+            The (x, y) offset of the shadow in points.
+        shadow_rgbFace : :mpltype:`color`
             The shadow color.
-        alpha : float
+        alpha : float, default: 0.3
             The alpha transparency of the created shadow patch.
-            Default is 0.3.
-            http://matplotlib.1069221.n5.nabble.com/path-effects-question-td27630.html
-        rho : float
-            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
-            is not specified. Default is 0.3.
+        rho : float, default: 0.3
+            A scale factor to apply to the rgbFace color if *shadow_rgbFace*
+            is not specified.
         **kwargs
             Extra keywords are stored and passed through to
-            :meth:`AbstractPathEffect._update_gc`.
+            :meth:`!AbstractPathEffect._update_gc`.
 
         """
-        if offset_xy is not None:
-            cbook.deprecated('v1.4', 'The offset_xy keyword is deprecated. '
-                             'Use the offset keyword instead.')
-            offset = offset_xy
-        super(SimplePatchShadow, self).__init__(offset)
+        super().__init__(offset)
 
         if shadow_rgbFace is None:
             self._shadow_rgbFace = shadow_rgbFace
         else:
-            self._shadow_rgbFace = colorConverter.to_rgba(shadow_rgbFace)
-        if patch_alpha is not None:
-            cbook.deprecated('v1.4', 'The patch_alpha keyword is deprecated. '
-                             'Use the alpha keyword instead. Transform your '
-                             'patch_alpha by alpha = 1 - patch_alpha')
-            if alpha is not None:
-                raise ValueError("Both alpha and patch_alpha were set. "
-                                 "Just use alpha.")
-            alpha = 1 - patch_alpha
+            self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)
 
         if alpha is None:
             alpha = 0.3
@@ -269,23 +254,16 @@ def __init__(self, offset=(2,-2),
         #: The dictionary of keywords to update the graphics collection with.
         self._gc = kwargs
 
-        #: The offset transform object. The offset isn't calculated yet
-        #: as we don't know how big the figure will be in pixels.
-        self._offset_tran = mtransforms.Affine2D()
-
     def draw_path(self, renderer, gc, tpath, affine, rgbFace):
         """
         Overrides the standard draw_path to add the shadow offset and
         necessary color changes for the shadow.
-
         """
-        # IMPORTANT: Do not modify the input - we copy everything instead.
-        affine0 = self._offset_transform(renderer, affine)
-        gc0 = renderer.new_gc()
+        gc0 = renderer.new_gc()  # Don't modify gc, but a copy!
         gc0.copy_properties(gc)
 
         if self._shadow_rgbFace is None:
-            r,g,b = (rgbFace or (1., 1., 1.))[:3]
+            r, g, b = (rgbFace or (1., 1., 1.))[:3]
             # Scale the colors by a factor to improve the shadow effect.
             shadow_rgbFace = (r * self._rho, g * self._rho, b * self._rho)
         else:
@@ -296,114 +274,238 @@ def draw_path(self, renderer, gc, tpath, affine, rgbFace):
         gc0.set_linewidth(0)
 
         gc0 = self._update_gc(gc0, self._gc)
-        renderer.draw_path(gc0, tpath, affine0, shadow_rgbFace)
+        renderer.draw_path(
+            gc0, tpath, affine + self._offset_transform(renderer),
+            shadow_rgbFace)
         gc0.restore()
 
 
-class withSimplePatchShadow(SimplePatchShadow):
-    """
-    Adds a simple :class:`SimplePatchShadow` and then draws the
-    original Artist to avoid needing to call :class:`Normal`.
-
-    """
-    def draw_path(self, renderer, gc, tpath, affine, rgbFace):
-        SimplePatchShadow.draw_path(self, renderer, gc, tpath, affine, rgbFace)
-        renderer.draw_path(gc, tpath, affine, rgbFace)
+withSimplePatchShadow = _subclass_with_normal(effect_class=SimplePatchShadow)
 
 
 class SimpleLineShadow(AbstractPathEffect):
     """A simple shadow via a line."""
-    def __init__(self, offset=(2,-2),
+
+    def __init__(self, offset=(2, -2),
                  shadow_color='k', alpha=0.3, rho=0.3, **kwargs):
         """
         Parameters
         ----------
-        offset : pair of floats
-            The offset to apply to the path, in points.
-        shadow_color : color
-            The shadow color. Default is black.
+        offset : (float, float), default: (2, -2)
+            The (x, y) offset to apply to the path, in points.
+        shadow_color : :mpltype:`color`, default: 'black'
+            The shadow color.
             A value of ``None`` takes the original artist's color
-            with a scale factor of `rho`.
-        alpha : float
+            with a scale factor of *rho*.
+        alpha : float, default: 0.3
             The alpha transparency of the created shadow patch.
-            Default is 0.3.
-        rho : float
-            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
-            is ``None``. Default is 0.3.
+        rho : float, default: 0.3
+            A scale factor to apply to the rgbFace color if *shadow_color*
+            is ``None``.
         **kwargs
             Extra keywords are stored and passed through to
-            :meth:`AbstractPathEffect._update_gc`.
-
+            :meth:`!AbstractPathEffect._update_gc`.
         """
-        super(SimpleLineShadow, self).__init__(offset)
+        super().__init__(offset)
         if shadow_color is None:
             self._shadow_color = shadow_color
         else:
-            self._shadow_color = colorConverter.to_rgba(shadow_color)
+            self._shadow_color = mcolors.to_rgba(shadow_color)
         self._alpha = alpha
         self._rho = rho
-
         #: The dictionary of keywords to update the graphics collection with.
         self._gc = kwargs
 
-        #: The offset transform object. The offset isn't calculated yet
-        #: as we don't know how big the figure will be in pixels.
-        self._offset_tran = mtransforms.Affine2D()
-
     def draw_path(self, renderer, gc, tpath, affine, rgbFace):
         """
         Overrides the standard draw_path to add the shadow offset and
         necessary color changes for the shadow.
-
         """
-        # IMPORTANT: Do not modify the input - we copy everything instead.
-        affine0 = self._offset_transform(renderer, affine)
-        gc0 = renderer.new_gc()
+        gc0 = renderer.new_gc()  # Don't modify gc, but a copy!
         gc0.copy_properties(gc)
 
         if self._shadow_color is None:
-            r,g,b = (gc0.get_foreground() or (1., 1., 1.))[:3]
+            r, g, b = (gc0.get_foreground() or (1., 1., 1.))[:3]
             # Scale the colors by a factor to improve the shadow effect.
             shadow_rgbFace = (r * self._rho, g * self._rho, b * self._rho)
         else:
             shadow_rgbFace = self._shadow_color
 
-        fill_color = None
-
         gc0.set_foreground(shadow_rgbFace)
         gc0.set_alpha(self._alpha)
-        gc0.set_linestyle("solid")
 
         gc0 = self._update_gc(gc0, self._gc)
-        renderer.draw_path(gc0, tpath, affine0, fill_color)
+        renderer.draw_path(
+            gc0, tpath, affine + self._offset_transform(renderer))
         gc0.restore()
 
 
 class PathPatchEffect(AbstractPathEffect):
     """
-    Draws a :class:`~matplotlib.patches.PathPatch` instance whose Path
-    comes from the original PathEffect artist.
-
+    Draws a `.PathPatch` instance whose Path comes from the original
+    PathEffect artist.
     """
+
     def __init__(self, offset=(0, 0), **kwargs):
         """
         Parameters
         ----------
-        offset : pair of floats
-            The offset to apply to the path, in points.
-        **kwargs :
+        offset : (float, float), default: (0, 0)
+            The (x, y) offset to apply to the path, in points.
+        **kwargs
             All keyword arguments are passed through to the
             :class:`~matplotlib.patches.PathPatch` constructor. The
             properties which cannot be overridden are "path", "clip_box"
             "transform" and "clip_path".
         """
-        super(PathPatchEffect, self).__init__(offset=offset)
+        super().__init__(offset=offset)
         self.patch = mpatches.PathPatch([], **kwargs)
 
     def draw_path(self, renderer, gc, tpath, affine, rgbFace):
-        affine = self._offset_transform(renderer, affine)
         self.patch._path = tpath
-        self.patch.set_transform(affine)
-        self.patch.set_clip_box(gc._cliprect)
-        self.patch.set_clip_path(gc._clippath)
+        self.patch.set_transform(affine + self._offset_transform(renderer))
+        self.patch.set_clip_box(gc.get_clip_rectangle())
+        clip_path = gc.get_clip_path()
+        if clip_path and self.patch.get_clip_path() is None:
+            self.patch.set_clip_path(*clip_path)
         self.patch.draw(renderer)
+
+
+class TickedStroke(AbstractPathEffect):
+    """
+    A line-based PathEffect which draws a path with a ticked style.
+
+    This line style is frequently used to represent constraints in
+    optimization.  The ticks may be used to indicate that one side
+    of the line is invalid or to represent a closed boundary of a
+    domain (i.e. a wall or the edge of a pipe).
+
+    The spacing, length, and angle of ticks can be controlled.
+
+    This line style is sometimes referred to as a hatched line.
+
+    See also the :doc:`/gallery/misc/tickedstroke_demo` example.
+    """
+
+    def __init__(self, offset=(0, 0),
+                 spacing=10.0, angle=45.0, length=np.sqrt(2),
+                 **kwargs):
+        """
+        Parameters
+        ----------
+        offset : (float, float), default: (0, 0)
+            The (x, y) offset to apply to the path, in points.
+        spacing : float, default: 10.0
+            The spacing between ticks in points.
+        angle : float, default: 45.0
+            The angle between the path and the tick in degrees.  The angle
+            is measured as if you were an ant walking along the curve, with
+            zero degrees pointing directly ahead, 90 to your left, -90
+            to your right, and 180 behind you. To change side of the ticks,
+            change sign of the angle.
+        length : float, default: 1.414
+            The length of the tick relative to spacing.
+            Recommended length = 1.414 (sqrt(2)) when angle=45, length=1.0
+            when angle=90 and length=2.0 when angle=60.
+        **kwargs
+            Extra keywords are stored and passed through to
+            :meth:`!AbstractPathEffect._update_gc`.
+
+        Examples
+        --------
+        See :doc:`/gallery/misc/tickedstroke_demo`.
+        """
+        super().__init__(offset)
+
+        self._spacing = spacing
+        self._angle = angle
+        self._length = length
+        self._gc = kwargs
+
+    def draw_path(self, renderer, gc, tpath, affine, rgbFace):
+        """Draw the path with updated gc."""
+        # Do not modify the input! Use copy instead.
+        gc0 = renderer.new_gc()
+        gc0.copy_properties(gc)
+
+        gc0 = self._update_gc(gc0, self._gc)
+        trans = affine + self._offset_transform(renderer)
+
+        theta = -np.radians(self._angle)
+        trans_matrix = np.array([[np.cos(theta), -np.sin(theta)],
+                                 [np.sin(theta), np.cos(theta)]])
+
+        # Convert spacing parameter to pixels.
+        spacing_px = renderer.points_to_pixels(self._spacing)
+
+        # Transform before evaluation because to_polygons works at resolution
+        # of one -- assuming it is working in pixel space.
+        transpath = affine.transform_path(tpath)
+
+        # Evaluate path to straight line segments that can be used to
+        # construct line ticks.
+        polys = transpath.to_polygons(closed_only=False)
+
+        for p in polys:
+            x = p[:, 0]
+            y = p[:, 1]
+
+            # Can not interpolate points or draw line if only one point in
+            # polyline.
+            if x.size < 2:
+                continue
+
+            # Find distance between points on the line
+            ds = np.hypot(x[1:] - x[:-1], y[1:] - y[:-1])
+
+            # Build parametric coordinate along curve
+            s = np.concatenate(([0.0], np.cumsum(ds)))
+            s_total = s[-1]
+
+            num = int(np.ceil(s_total / spacing_px)) - 1
+            # Pick parameter values for ticks.
+            s_tick = np.linspace(spacing_px/2, s_total - spacing_px/2, num)
+
+            # Find points along the parameterized curve
+            x_tick = np.interp(s_tick, s, x)
+            y_tick = np.interp(s_tick, s, y)
+
+            # Find unit vectors in local direction of curve
+            delta_s = self._spacing * .001
+            u = (np.interp(s_tick + delta_s, s, x) - x_tick) / delta_s
+            v = (np.interp(s_tick + delta_s, s, y) - y_tick) / delta_s
+
+            # Normalize slope into unit slope vector.
+            n = np.hypot(u, v)
+            mask = n == 0
+            n[mask] = 1.0
+
+            uv = np.array([u / n, v / n]).T
+            uv[mask] = np.array([0, 0]).T
+
+            # Rotate and scale unit vector into tick vector
+            dxy = np.dot(uv, trans_matrix) * self._length * spacing_px
+
+            # Build tick endpoints
+            x_end = x_tick + dxy[:, 0]
+            y_end = y_tick + dxy[:, 1]
+
+            # Interleave ticks to form Path vertices
+            xyt = np.empty((2 * num, 2), dtype=x_tick.dtype)
+            xyt[0::2, 0] = x_tick
+            xyt[1::2, 0] = x_end
+            xyt[0::2, 1] = y_tick
+            xyt[1::2, 1] = y_end
+
+            # Build up vector of Path codes
+            codes = np.tile([Path.MOVETO, Path.LINETO], num)
+
+            # Construct and draw resulting path
+            h = Path(xyt, codes)
+            # Transform back to data space during render
+            renderer.draw_path(gc0, h, affine.inverted() + trans, rgbFace)
+
+        gc0.restore()
+
+
+withTickedStroke = _subclass_with_normal(effect_class=TickedStroke)
diff --git a/lib/matplotlib/patheffects.pyi b/lib/matplotlib/patheffects.pyi
new file mode 100644
index 000000000000..2c1634ca9314
--- /dev/null
+++ b/lib/matplotlib/patheffects.pyi
@@ -0,0 +1,106 @@
+from collections.abc import Iterable, Sequence
+from typing import Any
+
+from matplotlib.backend_bases import RendererBase, GraphicsContextBase
+from matplotlib.path import Path
+from matplotlib.patches import Patch
+from matplotlib.transforms import Transform
+
+from matplotlib.typing import ColorType
+
+class AbstractPathEffect:
+    def __init__(self, offset: tuple[float, float] = ...) -> None: ...
+    def draw_path(
+        self,
+        renderer: RendererBase,
+        gc: GraphicsContextBase,
+        tpath: Path,
+        affine: Transform,
+        rgbFace: ColorType | None = ...,
+    ) -> None: ...
+
+class PathEffectRenderer(RendererBase):
+    def __init__(
+        self, path_effects: Iterable[AbstractPathEffect], renderer: RendererBase
+    ) -> None: ...
+    def copy_with_path_effect(self, path_effects: Iterable[AbstractPathEffect]) -> PathEffectRenderer: ...
+    def draw_path(
+        self,
+        gc: GraphicsContextBase,
+        tpath: Path,
+        affine: Transform,
+        rgbFace: ColorType | None = ...,
+    ) -> None: ...
+    def draw_markers(
+        self,
+        gc: GraphicsContextBase,
+        marker_path: Path,
+        marker_trans: Transform,
+        path: Path,
+        *args,
+        **kwargs
+    ) -> None: ...
+    def draw_path_collection(
+        self,
+        gc: GraphicsContextBase,
+        master_transform: Transform,
+        paths: Sequence[Path],
+        *args,
+        **kwargs
+    ) -> None: ...
+    def __getattribute__(self, name: str) -> Any: ...
+
+class Normal(AbstractPathEffect): ...
+
+class Stroke(AbstractPathEffect):
+    def __init__(self, offset: tuple[float, float] = ..., **kwargs) -> None: ...
+    # rgbFace becomes non-optional
+    def draw_path(self, renderer: RendererBase, gc: GraphicsContextBase, tpath: Path, affine: Transform, rgbFace: ColorType) -> None: ...  # type: ignore[override]
+
+class withStroke(Stroke): ...
+
+class SimplePatchShadow(AbstractPathEffect):
+    def __init__(
+        self,
+        offset: tuple[float, float] = ...,
+        shadow_rgbFace: ColorType | None = ...,
+        alpha: float | None = ...,
+        rho: float = ...,
+        **kwargs
+    ) -> None: ...
+    # rgbFace becomes non-optional
+    def draw_path(self, renderer: RendererBase, gc: GraphicsContextBase, tpath: Path, affine: Transform, rgbFace: ColorType) -> None: ...  # type: ignore[override]
+
+class withSimplePatchShadow(SimplePatchShadow): ...
+
+class SimpleLineShadow(AbstractPathEffect):
+    def __init__(
+        self,
+        offset: tuple[float, float] = ...,
+        shadow_color: ColorType = ...,
+        alpha: float = ...,
+        rho: float = ...,
+        **kwargs
+    ) -> None: ...
+    # rgbFace becomes non-optional
+    def draw_path(self, renderer: RendererBase, gc: GraphicsContextBase, tpath: Path, affine: Transform, rgbFace: ColorType) -> None: ...  # type: ignore[override]
+
+class PathPatchEffect(AbstractPathEffect):
+    patch: Patch
+    def __init__(self, offset: tuple[float, float] = ..., **kwargs) -> None: ...
+    # rgbFace becomes non-optional
+    def draw_path(self, renderer: RendererBase, gc: GraphicsContextBase, tpath: Path, affine: Transform, rgbFace: ColorType) -> None: ...  # type: ignore[override]
+
+class TickedStroke(AbstractPathEffect):
+    def __init__(
+        self,
+        offset: tuple[float, float] = ...,
+        spacing: float = ...,
+        angle: float = ...,
+        length: float = ...,
+        **kwargs
+    ) -> None: ...
+    # rgbFace becomes non-optional
+    def draw_path(self, renderer: RendererBase, gc: GraphicsContextBase, tpath: Path, affine: Transform, rgbFace: ColorType) -> None: ...  # type: ignore[override]
+
+class withTickedStroke(TickedStroke): ...
diff --git a/lib/matplotlib/projections/__init__.py b/lib/matplotlib/projections/__init__.py
index 235598563931..f7b46192a84e 100644
--- a/lib/matplotlib/projections/__init__.py
+++ b/lib/matplotlib/projections/__init__.py
@@ -1,50 +1,106 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+"""
+Non-separable transforms that map from data space to screen space.
 
-import six
+Projections are defined as `~.axes.Axes` subclasses.  They include the
+following elements:
 
+- A transformation from data coordinates into display coordinates.
+
+- An inverse of that transformation.  This is used, for example, to convert
+  mouse positions from screen space back into data space.
+
+- Transformations for the gridlines, ticks and ticklabels.  Custom projections
+  will often need to place these elements in special locations, and Matplotlib
+  has a facility to help with doing so.
+
+- Setting up default values (overriding `~.axes.Axes.cla`), since the defaults
+  for a rectilinear Axes may not be appropriate.
+
+- Defining the shape of the Axes, for example, an elliptical Axes, that will be
+  used to draw the background of the plot and for clipping any data elements.
+
+- Defining custom locators and formatters for the projection.  For example, in
+  a geographic projection, it may be more convenient to display the grid in
+  degrees, even if the data is in radians.
+
+- Set up interactive panning and zooming.  This is left as an "advanced"
+  feature left to the reader, but there is an example of this for polar plots
+  in `matplotlib.projections.polar`.
+
+- Any additional methods for additional convenience or features.
+
+Once the projection Axes is defined, it can be used in one of two ways:
+
+- By defining the class attribute ``name``, the projection Axes can be
+  registered with `matplotlib.projections.register_projection` and subsequently
+  simply invoked by name::
+
+      fig.add_subplot(projection="my_proj_name")
+
+- For more complex, parameterisable projections, a generic "projection" object
+  may be defined which includes the method ``_as_mpl_axes``. ``_as_mpl_axes``
+  should take no arguments and return the projection's Axes subclass and a
+  dictionary of additional arguments to pass to the subclass' ``__init__``
+  method.  Subsequently a parameterised projection can be initialised with::
+
+      fig.add_subplot(projection=MyProjection(param1=param1_value))
+
+  where MyProjection is an object which implements a ``_as_mpl_axes`` method.
+
+A full-fledged and heavily annotated example is in
+:doc:`/gallery/misc/custom_projection`.  The polar plot functionality in
+`matplotlib.projections.polar` may also be of interest.
+"""
+
+from .. import axes, _docstring
 from .geo import AitoffAxes, HammerAxes, LambertAxes, MollweideAxes
 from .polar import PolarAxes
-from matplotlib import axes
 
-class ProjectionRegistry(object):
-    """
-    Manages the set of projections available to the system.
-    """
+try:
+    from mpl_toolkits.mplot3d import Axes3D
+except Exception:
+    import warnings
+    warnings.warn("Unable to import Axes3D. This may be due to multiple versions of "
+                  "Matplotlib being installed (e.g. as a system package and as a pip "
+                  "package). As a result, the 3D projection is not available.")
+    Axes3D = None
+
+
+class ProjectionRegistry:
+    """A mapping of registered projection names to projection classes."""
+
     def __init__(self):
         self._all_projection_types = {}
 
     def register(self, *projections):
-        """
-        Register a new set of projection(s).
-        """
+        """Register a new set of projections."""
         for projection in projections:
             name = projection.name
             self._all_projection_types[name] = projection
 
     def get_projection_class(self, name):
-        """
-        Get a projection class from its *name*.
-        """
+        """Get a projection class from its *name*."""
         return self._all_projection_types[name]
 
     def get_projection_names(self):
-        """
-        Get a list of the names of all projections currently
-        registered.
-        """
-        names = list(six.iterkeys(self._all_projection_types))
-        names.sort()
-        return names
-projection_registry = ProjectionRegistry()
+        """Return the names of all projections currently registered."""
+        return sorted(self._all_projection_types)
+
 
+projection_registry = ProjectionRegistry()
 projection_registry.register(
     axes.Axes,
     PolarAxes,
     AitoffAxes,
     HammerAxes,
     LambertAxes,
-    MollweideAxes)
+    MollweideAxes,
+)
+if Axes3D is not None:
+    projection_registry.register(Axes3D)
+else:
+    # remove from namespace if not importable
+    del Axes3D
 
 
 def register_projection(cls):
@@ -55,63 +111,16 @@ def get_projection_class(projection=None):
     """
     Get a projection class from its name.
 
-    If *projection* is None, a standard rectilinear projection is
-    returned.
+    If *projection* is None, a standard rectilinear projection is returned.
     """
     if projection is None:
         projection = 'rectilinear'
 
     try:
         return projection_registry.get_projection_class(projection)
-    except KeyError:
-        raise ValueError("Unknown projection '%s'" % projection)
+    except KeyError as err:
+        raise ValueError("Unknown projection %r" % projection) from err
 
 
-def process_projection_requirements(figure, *args, **kwargs):
-    """
-    Handle the args/kwargs to for add_axes/add_subplot/gca,
-    returning::
-
-        (axes_proj_class, proj_class_kwargs, proj_stack_key)
-
-    Which can be used for new axes initialization/identification.
-
-    .. note:: **kwargs** is modified in place.
-
-    """
-    ispolar = kwargs.pop('polar', False)
-    projection = kwargs.pop('projection', None)
-    if ispolar:
-        if projection is not None and projection != 'polar':
-            raise ValueError(
-                "polar=True, yet projection=%r. "
-                "Only one of these arguments should be supplied." %
-                projection)
-        projection = 'polar'
-
-    # ensure that the resolution keyword is always put into the key
-    # for polar plots
-    if projection == 'polar':
-        kwargs.setdefault('resolution', 1)
-
-    if isinstance(projection, six.string_types) or projection is None:
-        projection_class = get_projection_class(projection)
-    elif hasattr(projection, '_as_mpl_axes'):
-        projection_class, extra_kwargs = projection._as_mpl_axes()
-        kwargs.update(**extra_kwargs)
-    else:
-        raise TypeError('projection must be a string, None or implement a '
-                            '_as_mpl_axes method. Got %r' % projection)
-
-    # Make the key without projection kwargs, this is used as a unique
-    # lookup for axes instances
-    key = figure._make_key(*args, **kwargs)
-
-    return projection_class, kwargs, key
-
-
-def get_projection_names():
-    """
-    Get a list of acceptable projection names.
-    """
-    return projection_registry.get_projection_names()
+get_projection_names = projection_registry.get_projection_names
+_docstring.interpd.register(projection_names=get_projection_names())
diff --git a/lib/matplotlib/projections/__init__.pyi b/lib/matplotlib/projections/__init__.pyi
new file mode 100644
index 000000000000..4e0d210f1c9e
--- /dev/null
+++ b/lib/matplotlib/projections/__init__.pyi
@@ -0,0 +1,20 @@
+from .geo import (
+    AitoffAxes as AitoffAxes,
+    HammerAxes as HammerAxes,
+    LambertAxes as LambertAxes,
+    MollweideAxes as MollweideAxes,
+)
+from .polar import PolarAxes as PolarAxes
+from ..axes import Axes
+
+class ProjectionRegistry:
+    def __init__(self) -> None: ...
+    def register(self, *projections: type[Axes]) -> None: ...
+    def get_projection_class(self, name: str) -> type[Axes]: ...
+    def get_projection_names(self) -> list[str]: ...
+
+projection_registry: ProjectionRegistry
+
+def register_projection(cls: type[Axes]) -> None: ...
+def get_projection_class(projection: str | None = ...) -> type[Axes]: ...
+def get_projection_names() -> list[str]: ...
diff --git a/lib/matplotlib/projections/geo.py b/lib/matplotlib/projections/geo.py
index a81dad29782c..d5ab3c746dea 100644
--- a/lib/matplotlib/projections/geo.py
+++ b/lib/matplotlib/projections/geo.py
@@ -1,29 +1,20 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import math
-
 import numpy as np
-import numpy.ma as ma
 
-import matplotlib
-rcParams = matplotlib.rcParams
+import matplotlib as mpl
+from matplotlib import _api
 from matplotlib.axes import Axes
-from matplotlib import cbook
+import matplotlib.axis as maxis
 from matplotlib.patches import Circle
 from matplotlib.path import Path
 import matplotlib.spines as mspines
-import matplotlib.axis as maxis
-from matplotlib.ticker import Formatter, Locator, NullLocator, FixedLocator, NullFormatter
-from matplotlib.transforms import Affine2D, Affine2DBase, Bbox, \
-    BboxTransformTo, IdentityTransform, Transform, TransformWrapper
+from matplotlib.ticker import (
+    Formatter, NullLocator, FixedLocator, NullFormatter)
+from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
+
 
 class GeoAxes(Axes):
-    """
-    An abstract base class for geographic projections
-    """
+    """An abstract base class for geographic projections."""
+
     class ThetaFormatter(Formatter):
         """
         Used to format the theta tick labels.  Converts the native
@@ -33,25 +24,19 @@ def __init__(self, round_to=1.0):
             self._round_to = round_to
 
         def __call__(self, x, pos=None):
-            degrees = (x / np.pi) * 180.0
-            degrees = round(degrees / self._round_to) * self._round_to
-            if rcParams['text.usetex'] and not rcParams['text.latex.unicode']:
-                return r"$%0.0f^\circ$" % degrees
-            else:
-                return "%0.0f\u00b0" % degrees
+            degrees = round(np.rad2deg(x) / self._round_to) * self._round_to
+            return f"{degrees:0.0f}\N{DEGREE SIGN}"
 
     RESOLUTION = 75
 
     def _init_axis(self):
-        self.xaxis = maxis.XAxis(self)
-        self.yaxis = maxis.YAxis(self)
-        # Do not register xaxis or yaxis with spines -- as done in
-        # Axes._init_axis() -- until GeoAxes.xaxis.cla() works.
-        # self.spines['geo'].register_axis(self.yaxis)
-        self._update_transScale()
+        self.xaxis = maxis.XAxis(self, clear=False)
+        self.yaxis = maxis.YAxis(self, clear=False)
+        self.spines['geo'].register_axis(self.yaxis)
 
-    def cla(self):
-        Axes.cla(self)
+    def clear(self):
+        # docstring inherited
+        super().clear()
 
         self.set_longitude_grid(30)
         self.set_latitude_grid(15)
@@ -64,7 +49,7 @@ def cla(self):
         # Why do we need to turn on yaxis tick labels, but
         # xaxis tick labels are already on?
 
-        self.grid(rcParams['axes.grid'])
+        self.grid(mpl.rcParams['axes.grid'])
 
         Axes.set_xlim(self, -np.pi, np.pi)
         Axes.set_ylim(self, -np.pi / 2.0, np.pi / 2.0)
@@ -87,49 +72,49 @@ def _set_lim_and_transforms(self):
         # This is the transform for longitude ticks.
         self._xaxis_pretransform = \
             Affine2D() \
-            .scale(1.0, self._longitude_cap * 2.0) \
-            .translate(0.0, -self._longitude_cap)
+            .scale(1, self._longitude_cap * 2) \
+            .translate(0, -self._longitude_cap)
         self._xaxis_transform = \
             self._xaxis_pretransform + \
             self.transData
         self._xaxis_text1_transform = \
-            Affine2D().scale(1.0, 0.0) + \
+            Affine2D().scale(1, 0) + \
             self.transData + \
-            Affine2D().translate(0.0, 4.0)
+            Affine2D().translate(0, 4)
         self._xaxis_text2_transform = \
-            Affine2D().scale(1.0, 0.0) + \
+            Affine2D().scale(1, 0) + \
             self.transData + \
-            Affine2D().translate(0.0, -4.0)
+            Affine2D().translate(0, -4)
 
         # This is the transform for latitude ticks.
-        yaxis_stretch = Affine2D().scale(np.pi * 2.0, 1.0).translate(-np.pi, 0.0)
-        yaxis_space = Affine2D().scale(1.0, 1.1)
+        yaxis_stretch = Affine2D().scale(np.pi * 2, 1).translate(-np.pi, 0)
+        yaxis_space = Affine2D().scale(1, 1.1)
         self._yaxis_transform = \
             yaxis_stretch + \
             self.transData
         yaxis_text_base = \
             yaxis_stretch + \
             self.transProjection + \
-            (yaxis_space + \
-             self.transAffine + \
+            (yaxis_space +
+             self.transAffine +
              self.transAxes)
         self._yaxis_text1_transform = \
             yaxis_text_base + \
-            Affine2D().translate(-8.0, 0.0)
+            Affine2D().translate(-8, 0)
         self._yaxis_text2_transform = \
             yaxis_text_base + \
-            Affine2D().translate(8.0, 0.0)
+            Affine2D().translate(8, 0)
 
     def _get_affine_transform(self):
         transform = self._get_core_transform(1)
-        xscale, _ = transform.transform_point((np.pi, 0))
-        _, yscale = transform.transform_point((0, np.pi / 2.0))
+        xscale, _ = transform.transform((np.pi, 0))
+        _, yscale = transform.transform((0, np.pi/2))
         return Affine2D() \
             .scale(0.5 / xscale, 0.5 / yscale) \
             .translate(0.5, 0.5)
 
-    def get_xaxis_transform(self,which='grid'):
-        assert which in ['tick1','tick2','grid']
+    def get_xaxis_transform(self, which='grid'):
+        _api.check_in_list(['tick1', 'tick2', 'grid'], which=which)
         return self._xaxis_transform
 
     def get_xaxis_text1_transform(self, pad):
@@ -138,8 +123,8 @@ def get_xaxis_text1_transform(self, pad):
     def get_xaxis_text2_transform(self, pad):
         return self._xaxis_text2_transform, 'top', 'center'
 
-    def get_yaxis_transform(self,which='grid'):
-        assert which in ['tick1','tick2','grid']
+    def get_yaxis_transform(self, which='grid'):
+        _api.check_in_list(['tick1', 'tick2', 'grid'], which=which)
         return self._yaxis_transform
 
     def get_yaxis_text1_transform(self, pad):
@@ -152,8 +137,7 @@ def _gen_axes_patch(self):
         return Circle((0.5, 0.5), 0.5)
 
     def _gen_axes_spines(self):
-        return {'geo':mspines.Spine.circular_spine(self,
-                                                   (0.5, 0.5), 0.5)}
+        return {'geo': mspines.Spine.circular_spine(self, (0.5, 0.5), 0.5)}
 
     def set_yscale(self, *args, **kwargs):
         if args[0] != 'linear':
@@ -162,79 +146,76 @@ def set_yscale(self, *args, **kwargs):
     set_xscale = set_yscale
 
     def set_xlim(self, *args, **kwargs):
-        raise TypeError("It is not possible to change axes limits "
-                        "for geographic projections. Please consider "
-                        "using Basemap or Cartopy.")
+        """Not supported. Please consider using Cartopy."""
+        raise TypeError("Changing axes limits of a geographic projection is "
+                        "not supported.  Please consider using Cartopy.")
 
     set_ylim = set_xlim
+    set_xbound = set_xlim
+    set_ybound = set_ylim
+
+    def invert_xaxis(self):
+        """Not supported. Please consider using Cartopy."""
+        raise TypeError("Changing axes limits of a geographic projection is "
+                        "not supported.  Please consider using Cartopy.")
+
+    invert_yaxis = invert_xaxis
 
     def format_coord(self, lon, lat):
-        'return a format string formatting the coordinate'
-        lon = lon * (180.0 / np.pi)
-        lat = lat * (180.0 / np.pi)
-        if lat >= 0.0:
-            ns = 'N'
-        else:
-            ns = 'S'
-        if lon >= 0.0:
-            ew = 'E'
-        else:
-            ew = 'W'
-        return '%f\u00b0%s, %f\u00b0%s' % (abs(lat), ns, abs(lon), ew)
+        """Return a format string formatting the coordinate."""
+        lon, lat = np.rad2deg([lon, lat])
+        ns = 'N' if lat >= 0.0 else 'S'
+        ew = 'E' if lon >= 0.0 else 'W'
+        return ('%f\N{DEGREE SIGN}%s, %f\N{DEGREE SIGN}%s'
+                % (abs(lat), ns, abs(lon), ew))
 
     def set_longitude_grid(self, degrees):
         """
         Set the number of degrees between each longitude grid.
         """
-        number = (360.0 / degrees) + 1
-        self.xaxis.set_major_locator(
-            FixedLocator(
-                np.linspace(-np.pi, np.pi, number, True)[1:-1]))
-        self._logitude_degrees = degrees
+        # Skip -180 and 180, which are the fixed limits.
+        grid = np.arange(-180 + degrees, 180, degrees)
+        self.xaxis.set_major_locator(FixedLocator(np.deg2rad(grid)))
         self.xaxis.set_major_formatter(self.ThetaFormatter(degrees))
 
     def set_latitude_grid(self, degrees):
         """
-        Set the number of degrees between each longitude grid.
+        Set the number of degrees between each latitude grid.
         """
-        number = (180.0 / degrees) + 1
-        self.yaxis.set_major_locator(
-            FixedLocator(
-                np.linspace(-np.pi / 2.0, np.pi / 2.0, number, True)[1:-1]))
-        self._latitude_degrees = degrees
+        # Skip -90 and 90, which are the fixed limits.
+        grid = np.arange(-90 + degrees, 90, degrees)
+        self.yaxis.set_major_locator(FixedLocator(np.deg2rad(grid)))
         self.yaxis.set_major_formatter(self.ThetaFormatter(degrees))
 
     def set_longitude_grid_ends(self, degrees):
         """
         Set the latitude(s) at which to stop drawing the longitude grids.
         """
-        self._longitude_cap = degrees * (np.pi / 180.0)
+        self._longitude_cap = np.deg2rad(degrees)
         self._xaxis_pretransform \
             .clear() \
             .scale(1.0, self._longitude_cap * 2.0) \
             .translate(0.0, -self._longitude_cap)
 
     def get_data_ratio(self):
-        '''
-        Return the aspect ratio of the data itself.
-        '''
+        """Return the aspect ratio of the data itself."""
         return 1.0
 
     ### Interactive panning
 
     def can_zoom(self):
         """
-        Return *True* if this axes supports the zoom box button functionality.
+        Return whether this Axes supports the zoom box button functionality.
 
-        This axes object does not support interactive zoom box.
+        This Axes object does not support interactive zoom box.
         """
         return False
 
-    def can_pan(self) :
+    def can_pan(self):
         """
-        Return *True* if this axes supports the pan/zoom button functionality.
+        Return whether this Axes supports the pan/zoom button functionality.
 
-        This axes object does not support interactive pan/zoom.
+        This Axes object does not support interactive pan/zoom.
         """
         return False
 
@@ -248,80 +229,70 @@ def drag_pan(self, button, key, x, y):
         pass
 
 
-class AitoffAxes(GeoAxes):
-    name = 'aitoff'
+class _GeoTransform(Transform):
+    # Factoring out some common functionality.
+    input_dims = output_dims = 2
 
-    class AitoffTransform(Transform):
+    def __init__(self, resolution):
         """
-        The base Aitoff transform.
+        Create a new geographical transform.
+
+        Resolution is the number of steps to interpolate between each input
+        line segment to approximate its path in curved space.
         """
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
+        super().__init__()
+        self._resolution = resolution
 
-        def __init__(self, resolution):
-            """
-            Create a new Aitoff transform.  Resolution is the number of steps
-            to interpolate between each input line segment to approximate its
-            path in curved Aitoff space.
-            """
-            Transform.__init__(self)
-            self._resolution = resolution
+    def __str__(self):
+        return f"{type(self).__name__}({self._resolution})"
 
-        def transform_non_affine(self, ll):
-            longitude = ll[:, 0:1]
-            latitude  = ll[:, 1:2]
+    def transform_path_non_affine(self, path):
+        # docstring inherited
+        ipath = path.interpolated(self._resolution)
+        return Path(self.transform(ipath.vertices), ipath.codes)
+
+
+class AitoffAxes(GeoAxes):
+    name = 'aitoff'
+
+    class AitoffTransform(_GeoTransform):
+        """The base Aitoff transform."""
+
+        def transform_non_affine(self, values):
+            # docstring inherited
+            longitude, latitude = values.T
 
             # Pre-compute some values
             half_long = longitude / 2.0
             cos_latitude = np.cos(latitude)
 
             alpha = np.arccos(cos_latitude * np.cos(half_long))
-            # Mask this array or we'll get divide-by-zero errors
-            alpha = ma.masked_where(alpha == 0.0, alpha)
-            # The numerators also need to be masked so that masked
-            # division will be invoked.
-            # We want unnormalized sinc.  numpy.sinc gives us normalized
-            sinc_alpha = ma.sin(alpha) / alpha
-
-            x = (cos_latitude * ma.sin(half_long)) / sinc_alpha
-            y = (ma.sin(latitude) / sinc_alpha)
-            return np.concatenate((x.filled(0), y.filled(0)), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        def transform_path_non_affine(self, path):
-            vertices = path.vertices
-            ipath = path.interpolated(self._resolution)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
+            sinc_alpha = np.sinc(alpha / np.pi)  # np.sinc is sin(pi*x)/(pi*x).
+
+            x = (cos_latitude * np.sin(half_long)) / sinc_alpha
+            y = np.sin(latitude) / sinc_alpha
+            return np.column_stack([x, y])
 
         def inverted(self):
+            # docstring inherited
             return AitoffAxes.InvertedAitoffTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
-
-    class InvertedAitoffTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
 
-        def __init__(self, resolution):
-            Transform.__init__(self)
-            self._resolution = resolution
+    class InvertedAitoffTransform(_GeoTransform):
 
-        def transform_non_affine(self, xy):
+        def transform_non_affine(self, values):
+            # docstring inherited
             # MGDTODO: Math is hard ;(
-            return xy
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+            return np.full_like(values, np.nan)
 
         def inverted(self):
+            # docstring inherited
             return AitoffAxes.AitoffTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
 
     def __init__(self, *args, **kwargs):
         self._longitude_cap = np.pi / 2.0
-        GeoAxes.__init__(self, *args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.set_aspect(0.5, adjustable='box', anchor='C')
-        self.cla()
+        self.clear()
 
     def _get_core_transform(self, resolution):
         return self.AitoffTransform(resolution)
@@ -330,78 +301,43 @@ def _get_core_transform(self, resolution):
 class HammerAxes(GeoAxes):
     name = 'hammer'
 
-    class HammerTransform(Transform):
-        """
-        The base Hammer transform.
-        """
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def __init__(self, resolution):
-            """
-            Create a new Hammer transform.  Resolution is the number of steps
-            to interpolate between each input line segment to approximate its
-            path in curved Hammer space.
-            """
-            Transform.__init__(self)
-            self._resolution = resolution
-
-        def transform_non_affine(self, ll):
-            longitude = ll[:, 0:1]
-            latitude  = ll[:, 1:2]
+    class HammerTransform(_GeoTransform):
+        """The base Hammer transform."""
 
-            # Pre-compute some values
+        def transform_non_affine(self, values):
+            # docstring inherited
+            longitude, latitude = values.T
             half_long = longitude / 2.0
             cos_latitude = np.cos(latitude)
             sqrt2 = np.sqrt(2.0)
-
             alpha = np.sqrt(1.0 + cos_latitude * np.cos(half_long))
             x = (2.0 * sqrt2) * (cos_latitude * np.sin(half_long)) / alpha
             y = (sqrt2 * np.sin(latitude)) / alpha
-            return np.concatenate((x, y), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        def transform_path_non_affine(self, path):
-            vertices = path.vertices
-            ipath = path.interpolated(self._resolution)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
+            return np.column_stack([x, y])
 
         def inverted(self):
+            # docstring inherited
             return HammerAxes.InvertedHammerTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
-
-    class InvertedHammerTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
 
-        def __init__(self, resolution):
-            Transform.__init__(self)
-            self._resolution = resolution
+    class InvertedHammerTransform(_GeoTransform):
 
-        def transform_non_affine(self, xy):
-            x = xy[:, 0:1]
-            y = xy[:, 1:2]
-
-            quarter_x = 0.25 * x
-            half_y = 0.5 * y
-            z = np.sqrt(1.0 - quarter_x*quarter_x - half_y*half_y)
-            longitude = 2 * np.arctan((z*x) / (2.0 * (2.0*z*z - 1.0)))
+        def transform_non_affine(self, values):
+            # docstring inherited
+            x, y = values.T
+            z = np.sqrt(1 - (x / 4) ** 2 - (y / 2) ** 2)
+            longitude = 2 * np.arctan((z * x) / (2 * (2 * z ** 2 - 1)))
             latitude = np.arcsin(y*z)
-            return np.concatenate((longitude, latitude), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+            return np.column_stack([longitude, latitude])
 
         def inverted(self):
+            # docstring inherited
             return HammerAxes.HammerTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
 
     def __init__(self, *args, **kwargs):
         self._longitude_cap = np.pi / 2.0
-        GeoAxes.__init__(self, *args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.set_aspect(0.5, adjustable='box', anchor='C')
-        self.cla()
+        self.clear()
 
     def _get_core_transform(self, resolution):
         return self.HammerTransform(resolution)
@@ -410,35 +346,22 @@ def _get_core_transform(self, resolution):
 class MollweideAxes(GeoAxes):
     name = 'mollweide'
 
-    class MollweideTransform(Transform):
-        """
-        The base Mollweide transform.
-        """
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
+    class MollweideTransform(_GeoTransform):
+        """The base Mollweide transform."""
 
-        def __init__(self, resolution):
-            """
-            Create a new Mollweide transform.  Resolution is the number of steps
-            to interpolate between each input line segment to approximate its
-            path in curved Mollweide space.
-            """
-            Transform.__init__(self)
-            self._resolution = resolution
-
-        def transform_non_affine(self, ll):
+        def transform_non_affine(self, values):
+            # docstring inherited
             def d(theta):
-                delta = -(theta + np.sin(theta) - pi_sin_l) / (1 + np.cos(theta))
+                delta = (-(theta + np.sin(theta) - pi_sin_l)
+                         / (1 + np.cos(theta)))
                 return delta, np.abs(delta) > 0.001
 
-            longitude = ll[:, 0]
-            latitude  = ll[:, 1]
+            longitude, latitude = values.T
 
             clat = np.pi/2 - np.abs(latitude)
-            ihigh = clat < 0.087 # within 5 degrees of the poles
+            ihigh = clat < 0.087  # within 5 degrees of the poles
             ilow = ~ihigh
-            aux = np.empty(latitude.shape, dtype=np.float)
+            aux = np.empty(latitude.shape, dtype=float)
 
             if ilow.any():  # Newton-Raphson iteration
                 pi_sin_l = np.pi * np.sin(latitude[ilow])
@@ -449,59 +372,42 @@ def d(theta):
                     delta, large_delta = d(theta)
                 aux[ilow] = theta / 2
 
-            if ihigh.any(): # Taylor series-based approx. solution
+            if ihigh.any():  # Taylor series-based approx. solution
                 e = clat[ihigh]
                 d = 0.5 * (3 * np.pi * e**2) ** (1.0/3)
                 aux[ihigh] = (np.pi/2 - d) * np.sign(latitude[ihigh])
 
-            xy = np.empty(ll.shape, dtype=np.float)
-            xy[:,0] = (2.0 * np.sqrt(2.0) / np.pi) * longitude * np.cos(aux)
-            xy[:,1] = np.sqrt(2.0) * np.sin(aux)
+            xy = np.empty(values.shape, dtype=float)
+            xy[:, 0] = (2.0 * np.sqrt(2.0) / np.pi) * longitude * np.cos(aux)
+            xy[:, 1] = np.sqrt(2.0) * np.sin(aux)
 
             return xy
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        def transform_path_non_affine(self, path):
-            vertices = path.vertices
-            ipath = path.interpolated(self._resolution)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
 
         def inverted(self):
+            # docstring inherited
             return MollweideAxes.InvertedMollweideTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
-
-    class InvertedMollweideTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def __init__(self, resolution):
-            Transform.__init__(self)
-            self._resolution = resolution
 
-        def transform_non_affine(self, xy):
-            x = xy[:, 0:1]
-            y = xy[:, 1:2]
+    class InvertedMollweideTransform(_GeoTransform):
 
+        def transform_non_affine(self, values):
+            # docstring inherited
+            x, y = values.T
             # from Equations (7, 8) of
-            # http://mathworld.wolfram.com/MollweideProjection.html
+            # https://mathworld.wolfram.com/MollweideProjection.html
             theta = np.arcsin(y / np.sqrt(2))
-            lon = (np.pi / (2 * np.sqrt(2))) * x / np.cos(theta)
-            lat = np.arcsin((2 * theta + np.sin(2 * theta)) / np.pi)
-
-            return np.concatenate((lon, lat), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+            longitude = (np.pi / (2 * np.sqrt(2))) * x / np.cos(theta)
+            latitude = np.arcsin((2 * theta + np.sin(2 * theta)) / np.pi)
+            return np.column_stack([longitude, latitude])
 
         def inverted(self):
+            # docstring inherited
             return MollweideAxes.MollweideTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
 
     def __init__(self, *args, **kwargs):
         self._longitude_cap = np.pi / 2.0
-        GeoAxes.__init__(self, *args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.set_aspect(0.5, adjustable='box', anchor='C')
-        self.cla()
+        self.clear()
 
     def _get_core_transform(self, resolution):
         return self.MollweideTransform(resolution)
@@ -510,13 +416,8 @@ def _get_core_transform(self, resolution):
 class LambertAxes(GeoAxes):
     name = 'lambert'
 
-    class LambertTransform(Transform):
-        """
-        The base Lambert transform.
-        """
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
+    class LambertTransform(_GeoTransform):
+        """The base Lambert transform."""
 
         def __init__(self, center_longitude, center_latitude, resolution):
             """
@@ -524,14 +425,13 @@ def __init__(self, center_longitude, center_latitude, resolution):
             to interpolate between each input line segment to approximate its
             path in curved Lambert space.
             """
-            Transform.__init__(self)
-            self._resolution = resolution
+            _GeoTransform.__init__(self, resolution)
             self._center_longitude = center_longitude
             self._center_latitude = center_latitude
 
-        def transform_non_affine(self, ll):
-            longitude = ll[:, 0:1]
-            latitude  = ll[:, 1:2]
+        def transform_non_affine(self, values):
+            # docstring inherited
+            longitude, latitude = values.T
             clong = self._center_longitude
             clat = self._center_latitude
             cos_lat = np.cos(latitude)
@@ -539,79 +439,64 @@ def transform_non_affine(self, ll):
             diff_long = longitude - clong
             cos_diff_long = np.cos(diff_long)
 
-            inner_k = (1.0 +
-                       np.sin(clat)*sin_lat +
-                       np.cos(clat)*cos_lat*cos_diff_long)
-            # Prevent divide-by-zero problems
-            inner_k = np.where(inner_k == 0.0, 1e-15, inner_k)
-            k = np.sqrt(2.0 / inner_k)
-            x = k*cos_lat*np.sin(diff_long)
-            y = k*(np.cos(clat)*sin_lat -
-                   np.sin(clat)*cos_lat*cos_diff_long)
-
-            return np.concatenate((x, y), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        def transform_path_non_affine(self, path):
-            vertices = path.vertices
-            ipath = path.interpolated(self._resolution)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
+            inner_k = np.maximum(  # Prevent divide-by-zero problems
+                1 + np.sin(clat)*sin_lat + np.cos(clat)*cos_lat*cos_diff_long,
+                1e-15)
+            k = np.sqrt(2 / inner_k)
+            x = k * cos_lat*np.sin(diff_long)
+            y = k * (np.cos(clat)*sin_lat - np.sin(clat)*cos_lat*cos_diff_long)
+
+            return np.column_stack([x, y])
 
         def inverted(self):
+            # docstring inherited
             return LambertAxes.InvertedLambertTransform(
                 self._center_longitude,
                 self._center_latitude,
                 self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
 
-    class InvertedLambertTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
+    class InvertedLambertTransform(_GeoTransform):
 
         def __init__(self, center_longitude, center_latitude, resolution):
-            Transform.__init__(self)
-            self._resolution = resolution
+            _GeoTransform.__init__(self, resolution)
             self._center_longitude = center_longitude
             self._center_latitude = center_latitude
 
-        def transform_non_affine(self, xy):
-            x = xy[:, 0:1]
-            y = xy[:, 1:2]
+        def transform_non_affine(self, values):
+            # docstring inherited
+            x, y = values.T
             clong = self._center_longitude
             clat = self._center_latitude
-            p = np.sqrt(x*x + y*y)
-            p = np.where(p == 0.0, 1e-9, p)
-            c = 2.0 * np.arcsin(0.5 * p)
+            p = np.maximum(np.hypot(x, y), 1e-9)
+            c = 2 * np.arcsin(0.5 * p)
             sin_c = np.sin(c)
             cos_c = np.cos(c)
 
-            lat = np.arcsin(cos_c*np.sin(clat) +
-                             ((y*sin_c*np.cos(clat)) / p))
-            lon = clong + np.arctan(
+            latitude = np.arcsin(cos_c*np.sin(clat) +
+                                 ((y*sin_c*np.cos(clat)) / p))
+            longitude = clong + np.arctan(
                 (x*sin_c) / (p*np.cos(clat)*cos_c - y*np.sin(clat)*sin_c))
 
-            return np.concatenate((lon, lat), 1)
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+            return np.column_stack([longitude, latitude])
 
         def inverted(self):
+            # docstring inherited
             return LambertAxes.LambertTransform(
                 self._center_longitude,
                 self._center_latitude,
                 self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
 
-    def __init__(self, *args, **kwargs):
-        self._longitude_cap = np.pi / 2.0
-        self._center_longitude = kwargs.pop("center_longitude", 0.0)
-        self._center_latitude = kwargs.pop("center_latitude", 0.0)
-        GeoAxes.__init__(self, *args, **kwargs)
+    def __init__(self, *args, center_longitude=0, center_latitude=0, **kwargs):
+        self._longitude_cap = np.pi / 2
+        self._center_longitude = center_longitude
+        self._center_latitude = center_latitude
+        super().__init__(*args, **kwargs)
         self.set_aspect('equal', adjustable='box', anchor='C')
-        self.cla()
+        self.clear()
 
-    def cla(self):
-        GeoAxes.cla(self)
+    def clear(self):
+        # docstring inherited
+        super().clear()
         self.yaxis.set_major_formatter(NullFormatter())
 
     def _get_core_transform(self, resolution):
diff --git a/lib/matplotlib/projections/geo.pyi b/lib/matplotlib/projections/geo.pyi
new file mode 100644
index 000000000000..93220f8cbcd5
--- /dev/null
+++ b/lib/matplotlib/projections/geo.pyi
@@ -0,0 +1,112 @@
+from matplotlib.axes import Axes
+from matplotlib.ticker import Formatter
+from matplotlib.transforms import Transform
+
+from typing import Any, Literal
+
+class GeoAxes(Axes):
+    class ThetaFormatter(Formatter):
+        def __init__(self, round_to: float = ...) -> None: ...
+        def __call__(self, x: float, pos: Any | None = ...): ...
+    RESOLUTION: float
+    def get_xaxis_transform(
+        self, which: Literal["tick1", "tick2", "grid"] = ...
+    ) -> Transform: ...
+    def get_xaxis_text1_transform(
+        self, pad: float
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_xaxis_text2_transform(
+        self, pad: float
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_transform(
+        self, which: Literal["tick1", "tick2", "grid"] = ...
+    ) -> Transform: ...
+    def get_yaxis_text1_transform(
+        self, pad: float
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_text2_transform(
+        self, pad: float
+    ) -> tuple[
+        Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def set_xlim(self, *args, **kwargs) -> tuple[float, float]: ...
+    def set_ylim(self, *args, **kwargs) -> tuple[float, float]: ...
+    def format_coord(self, lon: float, lat: float) -> str: ...
+    def set_longitude_grid(self, degrees: float) -> None: ...
+    def set_latitude_grid(self, degrees: float) -> None: ...
+    def set_longitude_grid_ends(self, degrees: float) -> None: ...
+    def get_data_ratio(self) -> float: ...
+    def can_zoom(self) -> bool: ...
+    def can_pan(self) -> bool: ...
+    def start_pan(self, x, y, button) -> None: ...
+    def end_pan(self) -> None: ...
+    def drag_pan(self, button, key, x, y) -> None: ...
+
+class _GeoTransform(Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(self, resolution: int) -> None: ...
+
+class AitoffAxes(GeoAxes):
+    name: str
+
+    class AitoffTransform(_GeoTransform):
+        def inverted(self) -> AitoffAxes.InvertedAitoffTransform: ...
+
+    class InvertedAitoffTransform(_GeoTransform):
+        def inverted(self) -> AitoffAxes.AitoffTransform: ...
+
+class HammerAxes(GeoAxes):
+    name: str
+
+    class HammerTransform(_GeoTransform):
+        def inverted(self) -> HammerAxes.InvertedHammerTransform: ...
+
+    class InvertedHammerTransform(_GeoTransform):
+        def inverted(self) -> HammerAxes.HammerTransform: ...
+
+class MollweideAxes(GeoAxes):
+    name: str
+
+    class MollweideTransform(_GeoTransform):
+        def inverted(self) -> MollweideAxes.InvertedMollweideTransform: ...
+
+    class InvertedMollweideTransform(_GeoTransform):
+        def inverted(self) -> MollweideAxes.MollweideTransform: ...
+
+class LambertAxes(GeoAxes):
+    name: str
+
+    class LambertTransform(_GeoTransform):
+        def __init__(
+            self, center_longitude: float, center_latitude: float, resolution: int
+        ) -> None: ...
+        def inverted(self) -> LambertAxes.InvertedLambertTransform: ...
+
+    class InvertedLambertTransform(_GeoTransform):
+        def __init__(
+            self, center_longitude: float, center_latitude: float, resolution: int
+        ) -> None: ...
+        def inverted(self) -> LambertAxes.LambertTransform: ...
+
+    def __init__(
+        self,
+        *args,
+        center_longitude: float = ...,
+        center_latitude: float = ...,
+        **kwargs
+    ) -> None: ...
diff --git a/lib/matplotlib/projections/meson.build b/lib/matplotlib/projections/meson.build
new file mode 100644
index 000000000000..221b93efadee
--- /dev/null
+++ b/lib/matplotlib/projections/meson.build
@@ -0,0 +1,14 @@
+python_sources = [
+  '__init__.py',
+  'geo.py',
+  'polar.py',
+]
+
+typing_sources = [
+  '__init__.pyi',
+  'geo.pyi',
+  'polar.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/projections')
diff --git a/lib/matplotlib/projections/polar.py b/lib/matplotlib/projections/polar.py
index 5277d5ef9fa9..948b3a6e704f 100644
--- a/lib/matplotlib/projections/polar.py
+++ b/lib/matplotlib/projections/polar.py
@@ -1,411 +1,1096 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import math
-import warnings
+import types
 
 import numpy as np
 
-import matplotlib
-rcParams = matplotlib.rcParams
+import matplotlib as mpl
+from matplotlib import _api, cbook
 from matplotlib.axes import Axes
 import matplotlib.axis as maxis
-from matplotlib import cbook
-from matplotlib import docstring
-from matplotlib.patches import Circle
+import matplotlib.markers as mmarkers
+import matplotlib.patches as mpatches
 from matplotlib.path import Path
-from matplotlib.ticker import Formatter, Locator, FormatStrFormatter
-from matplotlib.transforms import Affine2D, Affine2DBase, Bbox, \
-    BboxTransformTo, IdentityTransform, Transform, TransformWrapper, \
-    ScaledTranslation, blended_transform_factory, BboxTransformToMaxOnly
-import matplotlib.spines as mspines
+import matplotlib.ticker as mticker
+import matplotlib.transforms as mtransforms
+from matplotlib.spines import Spine
 
 
-class PolarTransform(Transform):
-    """
-    The base polar transform.  This handles projection *theta* and
-    *r* into Cartesian coordinate space *x* and *y*, but does not
-    perform the ultimate affine transformation into the correct
-    position.
+class PolarTransform(mtransforms.Transform):
+    r"""
+    The base polar transform.
+
+    This transform maps polar coordinates :math:`\theta, r` into Cartesian
+    coordinates :math:`x, y = r \cos(\theta), r \sin(\theta)`
+    (but does not fully transform into Axes coordinates or
+    handle positioning in screen space).
+
+    This transformation is designed to be applied to data after any scaling
+    along the radial axis (e.g. log-scaling) has been applied to the input
+    data.
+
+    Path segments at a fixed radius are automatically transformed to circular
+    arcs as long as ``path._interpolation_steps > 1``.
     """
-    input_dims = 2
-    output_dims = 2
-    is_separable = False
 
-    def __init__(self, axis=None, use_rmin=True):
-        Transform.__init__(self)
+    input_dims = output_dims = 2
+
+    def __init__(self, axis=None, use_rmin=True, *, scale_transform=None):
+        """
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`, optional
+            Axis associated with this transform. This is used to get the
+            minimum radial limit.
+        use_rmin : `bool`, optional
+            If ``True``, subtract the minimum radial axis limit before
+            transforming to Cartesian coordinates. *axis* must also be
+            specified for this to take effect.
+        """
+        super().__init__()
         self._axis = axis
         self._use_rmin = use_rmin
+        self._scale_transform = scale_transform
 
-    def transform_non_affine(self, tr):
-        xy = np.empty(tr.shape, np.float_)
-        if self._axis is not None:
-            if self._use_rmin:
-                rmin = self._axis.viewLim.ymin
-            else:
-                rmin = 0
-            theta_offset = self._axis.get_theta_offset()
-            theta_direction = self._axis.get_theta_direction()
-        else:
-            rmin = 0
-            theta_offset = 0
-            theta_direction = 1
-
-        t = tr[:, 0:1]
-        r = tr[:, 1:2]
-        x = xy[:, 0:1]
-        y = xy[:, 1:2]
-
-        t *= theta_direction
-        t += theta_offset
+    __str__ = mtransforms._make_str_method(
+        "_axis",
+        use_rmin="_use_rmin"
+    )
 
-        r = r - rmin
-        mask = r < 0
-        x[:] = np.where(mask, np.nan, r * np.cos(t))
-        y[:] = np.where(mask, np.nan, r * np.sin(t))
+    def _get_rorigin(self):
+        # Get lower r limit after being scaled by the radial scale transform
+        return self._scale_transform.transform(
+            (0, self._axis.get_rorigin()))[1]
 
-        return xy
-    transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+    def transform_non_affine(self, values):
+        # docstring inherited
+        theta, r = np.transpose(values)
+        if self._use_rmin and self._axis is not None:
+            r = (r - self._get_rorigin()) * self._axis.get_rsign()
+        r = np.where(r >= 0, r, np.nan)
+        return np.column_stack([r * np.cos(theta), r * np.sin(theta)])
 
     def transform_path_non_affine(self, path):
-        vertices = path.vertices
-        if len(vertices) == 2 and vertices[0, 0] == vertices[1, 0]:
-            return Path(self.transform(vertices), path.codes)
-        ipath = path.interpolated(path._interpolation_steps)
-        return Path(self.transform(ipath.vertices), ipath.codes)
-    transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
+        # docstring inherited
+        if not len(path) or path._interpolation_steps == 1:
+            return Path(self.transform_non_affine(path.vertices), path.codes)
+        xys = []
+        codes = []
+        last_t = last_r = None
+        for trs, c in path.iter_segments():
+            trs = trs.reshape((-1, 2))
+            if c == Path.LINETO:
+                (t, r), = trs
+                if t == last_t:  # Same angle: draw a straight line.
+                    xys.extend(self.transform_non_affine(trs))
+                    codes.append(Path.LINETO)
+                elif r == last_r:  # Same radius: draw an arc.
+                    # The following is complicated by Path.arc() being
+                    # "helpful" and unwrapping the angles, but we don't want
+                    # that behavior here.
+                    last_td, td = np.rad2deg([last_t, t])
+                    if self._use_rmin and self._axis is not None:
+                        r = ((r - self._get_rorigin())
+                             * self._axis.get_rsign())
+                    if last_td <= td:
+                        while td - last_td > 360:
+                            arc = Path.arc(last_td, last_td + 360)
+                            xys.extend(arc.vertices[1:] * r)
+                            codes.extend(arc.codes[1:])
+                            last_td += 360
+                        arc = Path.arc(last_td, td)
+                        xys.extend(arc.vertices[1:] * r)
+                        codes.extend(arc.codes[1:])
+                    else:
+                        # The reverse version also relies on the fact that all
+                        # codes but the first one are the same.
+                        while last_td - td > 360:
+                            arc = Path.arc(last_td - 360, last_td)
+                            xys.extend(arc.vertices[::-1][1:] * r)
+                            codes.extend(arc.codes[1:])
+                            last_td -= 360
+                        arc = Path.arc(td, last_td)
+                        xys.extend(arc.vertices[::-1][1:] * r)
+                        codes.extend(arc.codes[1:])
+                else:  # Interpolate.
+                    trs = cbook.simple_linear_interpolation(
+                        np.vstack([(last_t, last_r), trs]),
+                        path._interpolation_steps)[1:]
+                    xys.extend(self.transform_non_affine(trs))
+                    codes.extend([Path.LINETO] * len(trs))
+            else:  # Not a straight line.
+                xys.extend(self.transform_non_affine(trs))
+                codes.extend([c] * len(trs))
+            last_t, last_r = trs[-1]
+        return Path(xys, codes)
 
     def inverted(self):
+        # docstring inherited
         return PolarAxes.InvertedPolarTransform(self._axis, self._use_rmin)
-    inverted.__doc__ = Transform.inverted.__doc__
 
 
-class PolarAffine(Affine2DBase):
-    """
-    The affine part of the polar projection.  Scales the output so
-    that maximum radius rests on the edge of the axes circle.
+class PolarAffine(mtransforms.Affine2DBase):
+    r"""
+    The affine part of the polar projection.
+
+    Scales the output so that maximum radius rests on the edge of the Axes
+    circle and the origin is mapped to (0.5, 0.5). The transform applied is
+    the same to x and y components and given by:
+
+    .. math::
+
+        x_{1} = 0.5 \left [ \frac{x_{0}}{(r_{\max} - r_{\min})} + 1 \right ]
+
+    :math:`r_{\min}, r_{\max}` are the minimum and maximum radial limits after
+    any scaling (e.g. log scaling) has been removed.
     """
     def __init__(self, scale_transform, limits):
         """
-        *limits* is the view limit of the data.  The only part of
-        its bounds that is used is ymax (for the radius maximum).
-        The theta range is always fixed to (0, 2pi).
+        Parameters
+        ----------
+        scale_transform : `~matplotlib.transforms.Transform`
+            Scaling transform for the data. This is used to remove any scaling
+            from the radial view limits.
+        limits : `~matplotlib.transforms.BboxBase`
+            View limits of the data. The only part of its bounds that is used
+            is the y limits (for the radius limits).
         """
-        Affine2DBase.__init__(self)
+        super().__init__()
         self._scale_transform = scale_transform
         self._limits = limits
         self.set_children(scale_transform, limits)
         self._mtx = None
 
+    __str__ = mtransforms._make_str_method("_scale_transform", "_limits")
+
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             limits_scaled = self._limits.transformed(self._scale_transform)
             yscale = limits_scaled.ymax - limits_scaled.ymin
-            affine = Affine2D() \
+            affine = mtransforms.Affine2D() \
                 .scale(0.5 / yscale) \
                 .translate(0.5, 0.5)
             self._mtx = affine.get_matrix()
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
-    def __getstate__(self):
-        return {}
 
-
-class InvertedPolarTransform(Transform):
+class InvertedPolarTransform(mtransforms.Transform):
     """
     The inverse of the polar transform, mapping Cartesian
     coordinate space *x* and *y* back to *theta* and *r*.
     """
-    input_dims = 2
-    output_dims = 2
-    is_separable = False
+    input_dims = output_dims = 2
 
     def __init__(self, axis=None, use_rmin=True):
-        Transform.__init__(self)
+        """
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`, optional
+            Axis associated with this transform. This is used to get the
+            minimum radial limit.
+        use_rmin : `bool`, optional
+            If ``True``, add the minimum radial axis limit after
+            transforming from Cartesian coordinates. *axis* must also be
+            specified for this to take effect.
+        """
+        super().__init__()
         self._axis = axis
         self._use_rmin = use_rmin
 
-    def transform_non_affine(self, xy):
-        if self._axis is not None:
-            if self._use_rmin:
-                rmin = self._axis.viewLim.ymin
-            else:
-                rmin = 0
-            theta_offset = self._axis.get_theta_offset()
-            theta_direction = self._axis.get_theta_direction()
-        else:
-            rmin = 0
-            theta_offset = 0
-            theta_direction = 1
-
-        x = xy[:, 0:1]
-        y = xy[:, 1:]
-        r = np.sqrt(x*x + y*y)
-        theta = np.arccos(x / r)
-        theta = np.where(y < 0, 2 * np.pi - theta, theta)
-
-        theta -= theta_offset
-        theta *= theta_direction
-        theta %= 2 * np.pi
-
-        r += rmin
+    __str__ = mtransforms._make_str_method(
+        "_axis",
+        use_rmin="_use_rmin")
 
-        return np.concatenate((theta, r), 1)
-    transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+    def transform_non_affine(self, values):
+        # docstring inherited
+        x, y = values.T
+        r = np.hypot(x, y)
+        theta = (np.arctan2(y, x) + 2 * np.pi) % (2 * np.pi)
+        if self._use_rmin and self._axis is not None:
+            r += self._axis.get_rorigin()
+            r *= self._axis.get_rsign()
+        return np.column_stack([theta, r])
 
     def inverted(self):
+        # docstring inherited
         return PolarAxes.PolarTransform(self._axis, self._use_rmin)
-    inverted.__doc__ = Transform.inverted.__doc__
 
 
-class ThetaFormatter(Formatter):
+class ThetaFormatter(mticker.Formatter):
     """
     Used to format the *theta* tick labels.  Converts the native
     unit of radians into degrees and adds a degree symbol.
     """
+
     def __call__(self, x, pos=None):
-        # \u00b0 : degree symbol
-        if rcParams['text.usetex'] and not rcParams['text.latex.unicode']:
-            return r"$%0.0f^\circ$" % ((x / np.pi) * 180.0)
-        else:
-            # we use unicode, rather than mathtext with \circ, so
-            # that it will work correctly with any arbitrary font
-            # (assuming it has a degree sign), whereas $5\circ$
-            # will only work correctly with one of the supported
-            # math fonts (Computer Modern and STIX)
-            return "%0.0f\u00b0" % ((x / np.pi) * 180.0)
+        vmin, vmax = self.axis.get_view_interval()
+        d = np.rad2deg(abs(vmax - vmin))
+        digits = max(-int(np.log10(d) - 1.5), 0)
+        return f"{np.rad2deg(x):0.{digits}f}\N{DEGREE SIGN}"
+
+
+class _AxisWrapper:
+    def __init__(self, axis):
+        self._axis = axis
+
+    def get_view_interval(self):
+        return np.rad2deg(self._axis.get_view_interval())
+
+    def set_view_interval(self, vmin, vmax):
+        self._axis.set_view_interval(*np.deg2rad((vmin, vmax)))
+
+    def get_minpos(self):
+        return np.rad2deg(self._axis.get_minpos())
+
+    def get_data_interval(self):
+        return np.rad2deg(self._axis.get_data_interval())
 
+    def set_data_interval(self, vmin, vmax):
+        self._axis.set_data_interval(*np.deg2rad((vmin, vmax)))
 
-class RadialLocator(Locator):
+    def get_tick_space(self):
+        return self._axis.get_tick_space()
+
+
+class ThetaLocator(mticker.Locator):
     """
-    Used to locate radius ticks.
+    Used to locate theta ticks.
 
-    Ensures that all ticks are strictly positive.  For all other
-    tasks, it delegates to the base
-    :class:`~matplotlib.ticker.Locator` (which may be different
-    depending on the scale of the *r*-axis.
+    This will work the same as the base locator except in the case that the
+    view spans the entire circle. In such cases, the previously used default
+    locations of every 45 degrees are returned.
     """
+
     def __init__(self, base):
         self.base = base
+        self.axis = self.base.axis = _AxisWrapper(self.base.axis)
+
+    def set_axis(self, axis):
+        self.axis = _AxisWrapper(axis)
+        self.base.set_axis(self.axis)
 
     def __call__(self):
-        ticks = self.base()
-        return [x for x in ticks if x > 0]
+        lim = self.axis.get_view_interval()
+        if _is_full_circle_deg(lim[0], lim[1]):
+            return np.deg2rad(min(lim)) + np.arange(8) * 2 * np.pi / 8
+        else:
+            return np.deg2rad(self.base())
+
+    def view_limits(self, vmin, vmax):
+        vmin, vmax = np.rad2deg((vmin, vmax))
+        return np.deg2rad(self.base.view_limits(vmin, vmax))
 
-    def autoscale(self):
-        return self.base.autoscale()
 
-    def pan(self, numsteps):
-        return self.base.pan(numsteps)
+class ThetaTick(maxis.XTick):
+    """
+    A theta-axis tick.
+
+    This subclass of `.XTick` provides angular ticks with some small
+    modification to their re-positioning such that ticks are rotated based on
+    tick location. This results in ticks that are correctly perpendicular to
+    the arc spine.
 
-    def zoom(self, direction):
-        return self.base.zoom(direction)
+    When 'auto' rotation is enabled, labels are also rotated to be parallel to
+    the spine. The label padding is also applied here since it's not possible
+    to use a generic axes transform to produce tick-specific padding.
+    """
+
+    def __init__(self, axes, *args, **kwargs):
+        self._text1_translate = mtransforms.ScaledTranslation(
+            0, 0, axes.get_figure(root=False).dpi_scale_trans)
+        self._text2_translate = mtransforms.ScaledTranslation(
+            0, 0, axes.get_figure(root=False).dpi_scale_trans)
+        super().__init__(axes, *args, **kwargs)
+        self.label1.set(
+            rotation_mode='anchor',
+            transform=self.label1.get_transform() + self._text1_translate)
+        self.label2.set(
+            rotation_mode='anchor',
+            transform=self.label2.get_transform() + self._text2_translate)
+
+    def _apply_params(self, **kwargs):
+        super()._apply_params(**kwargs)
+        # Ensure transform is correct; sometimes this gets reset.
+        trans = self.label1.get_transform()
+        if not trans.contains_branch(self._text1_translate):
+            self.label1.set_transform(trans + self._text1_translate)
+        trans = self.label2.get_transform()
+        if not trans.contains_branch(self._text2_translate):
+            self.label2.set_transform(trans + self._text2_translate)
+
+    def _update_padding(self, pad, angle):
+        padx = pad * np.cos(angle) / 72
+        pady = pad * np.sin(angle) / 72
+        self._text1_translate._t = (padx, pady)
+        self._text1_translate.invalidate()
+        self._text2_translate._t = (-padx, -pady)
+        self._text2_translate.invalidate()
+
+    def update_position(self, loc):
+        super().update_position(loc)
+        axes = self.axes
+        angle = loc * axes.get_theta_direction() + axes.get_theta_offset()
+        text_angle = np.rad2deg(angle) % 360 - 90
+        angle -= np.pi / 2
+
+        marker = self.tick1line.get_marker()
+        if marker in (mmarkers.TICKUP, '|'):
+            trans = mtransforms.Affine2D().scale(1, 1).rotate(angle)
+        elif marker == mmarkers.TICKDOWN:
+            trans = mtransforms.Affine2D().scale(1, -1).rotate(angle)
+        else:
+            # Don't modify custom tick line markers.
+            trans = self.tick1line._marker._transform
+        self.tick1line._marker._transform = trans
+
+        marker = self.tick2line.get_marker()
+        if marker in (mmarkers.TICKUP, '|'):
+            trans = mtransforms.Affine2D().scale(1, 1).rotate(angle)
+        elif marker == mmarkers.TICKDOWN:
+            trans = mtransforms.Affine2D().scale(1, -1).rotate(angle)
+        else:
+            # Don't modify custom tick line markers.
+            trans = self.tick2line._marker._transform
+        self.tick2line._marker._transform = trans
+
+        mode, user_angle = self._labelrotation
+        if mode == 'default':
+            text_angle = user_angle
+        else:
+            if text_angle > 90:
+                text_angle -= 180
+            elif text_angle < -90:
+                text_angle += 180
+            text_angle += user_angle
+        self.label1.set_rotation(text_angle)
+        self.label2.set_rotation(text_angle)
+
+        # This extra padding helps preserve the look from previous releases but
+        # is also needed because labels are anchored to their center.
+        pad = self._pad + 7
+        self._update_padding(pad,
+                             self._loc * axes.get_theta_direction() +
+                             axes.get_theta_offset())
+
+
+class ThetaAxis(maxis.XAxis):
+    """
+    A theta Axis.
+
+    This overrides certain properties of an `.XAxis` to provide special-casing
+    for an angular axis.
+    """
+    __name__ = 'thetaaxis'
+    axis_name = 'theta'  #: Read-only name identifying the axis.
+    _tick_class = ThetaTick
+
+    def _wrap_locator_formatter(self):
+        self.set_major_locator(ThetaLocator(self.get_major_locator()))
+        self.set_major_formatter(ThetaFormatter())
+        self.isDefault_majloc = True
+        self.isDefault_majfmt = True
+
+    def clear(self):
+        # docstring inherited
+        super().clear()
+        self.set_ticks_position('none')
+        self._wrap_locator_formatter()
+
+    def _set_scale(self, value, **kwargs):
+        if value != 'linear':
+            raise NotImplementedError(
+                "The xscale cannot be set on a polar plot")
+        super()._set_scale(value, **kwargs)
+        # LinearScale.set_default_locators_and_formatters just set the major
+        # locator to be an AutoLocator, so we customize it here to have ticks
+        # at sensible degree multiples.
+        self.get_major_locator().set_params(steps=[1, 1.5, 3, 4.5, 9, 10])
+        self._wrap_locator_formatter()
+
+    def _copy_tick_props(self, src, dest):
+        """Copy the props from src tick to dest tick."""
+        if src is None or dest is None:
+            return
+        super()._copy_tick_props(src, dest)
+
+        # Ensure that tick transforms are independent so that padding works.
+        trans = dest._get_text1_transform()[0]
+        dest.label1.set_transform(trans + dest._text1_translate)
+        trans = dest._get_text2_transform()[0]
+        dest.label2.set_transform(trans + dest._text2_translate)
+
+
+class RadialLocator(mticker.Locator):
+    """
+    Used to locate radius ticks.
+
+    Ensures that all ticks are strictly positive.  For all other tasks, it
+    delegates to the base `.Locator` (which may be different depending on the
+    scale of the *r*-axis).
+    """
+
+    def __init__(self, base, axes=None):
+        self.base = base
+        self._axes = axes
 
-    def refresh(self):
-        return self.base.refresh()
+    def set_axis(self, axis):
+        self.base.set_axis(axis)
+
+    def __call__(self):
+        # Ensure previous behaviour with full circle non-annular views.
+        if self._axes:
+            if _is_full_circle_rad(*self._axes.viewLim.intervalx):
+                rorigin = self._axes.get_rorigin() * self._axes.get_rsign()
+                if self._axes.get_rmin() <= rorigin:
+                    return [tick for tick in self.base() if tick > rorigin]
+        return self.base()
+
+    def _zero_in_bounds(self):
+        """
+        Return True if zero is within the valid values for the
+        scale of the radial axis.
+        """
+        vmin, vmax = self._axes.yaxis._scale.limit_range_for_scale(0, 1, 1e-5)
+        return vmin == 0
+
+    def nonsingular(self, vmin, vmax):
+        # docstring inherited
+        if self._zero_in_bounds() and (vmin, vmax) == (-np.inf, np.inf):
+            # Initial view limits
+            return (0, 1)
+        else:
+            return self.base.nonsingular(vmin, vmax)
 
     def view_limits(self, vmin, vmax):
         vmin, vmax = self.base.view_limits(vmin, vmax)
-        return 0, vmax
+        if self._zero_in_bounds() and vmax > vmin:
+            # this allows inverted r/y-lims
+            vmin = min(0, vmin)
+        return mtransforms.nonsingular(vmin, vmax)
 
 
-class PolarAxes(Axes):
+class _ThetaShift(mtransforms.ScaledTranslation):
     """
-    A polar graph projection, where the input dimensions are *theta*, *r*.
+    Apply a padding shift based on axes theta limits.
+
+    This is used to create padding for radial ticks.
+
+    Parameters
+    ----------
+    axes : `~matplotlib.axes.Axes`
+        The owning Axes; used to determine limits.
+    pad : float
+        The padding to apply, in points.
+    mode : {'min', 'max', 'rlabel'}
+        Whether to shift away from the start (``'min'``) or the end (``'max'``)
+        of the axes, or using the rlabel position (``'rlabel'``).
+    """
+    def __init__(self, axes, pad, mode):
+        super().__init__(pad, pad, axes.get_figure(root=False).dpi_scale_trans)
+        self.set_children(axes._realViewLim)
+        self.axes = axes
+        self.mode = mode
+        self.pad = pad
 
-    Theta starts pointing east and goes anti-clockwise.
+    __str__ = mtransforms._make_str_method("axes", "pad", "mode")
+
+    def get_matrix(self):
+        if self._invalid:
+            if self.mode == 'rlabel':
+                angle = (
+                    np.deg2rad(self.axes.get_rlabel_position()
+                               * self.axes.get_theta_direction())
+                    + self.axes.get_theta_offset()
+                    - np.pi / 2
+                )
+            elif self.mode == 'min':
+                angle = self.axes._realViewLim.xmin - np.pi / 2
+            elif self.mode == 'max':
+                angle = self.axes._realViewLim.xmax + np.pi / 2
+            self._t = (self.pad * np.cos(angle) / 72, self.pad * np.sin(angle) / 72)
+        return super().get_matrix()
+
+
+class RadialTick(maxis.YTick):
+    """
+    A radial-axis tick.
+
+    This subclass of `.YTick` provides radial ticks with some small
+    modification to their re-positioning such that ticks are rotated based on
+    axes limits.  This results in ticks that are correctly perpendicular to
+    the spine. Labels are also rotated to be perpendicular to the spine, when
+    'auto' rotation is enabled.
     """
-    name = 'polar'
 
     def __init__(self, *args, **kwargs):
-        """
-        Create a new Polar Axes for a polar plot.
+        super().__init__(*args, **kwargs)
+        self.label1.set_rotation_mode('anchor')
+        self.label2.set_rotation_mode('anchor')
+
+    def _determine_anchor(self, mode, angle, start):
+        # Note: angle is the (spine angle - 90) because it's used for the tick
+        # & text setup, so all numbers below are -90 from (normed) spine angle.
+        if mode == 'auto':
+            if start:
+                if -90 <= angle <= 90:
+                    return 'left', 'center'
+                else:
+                    return 'right', 'center'
+            else:
+                if -90 <= angle <= 90:
+                    return 'right', 'center'
+                else:
+                    return 'left', 'center'
+        else:
+            if start:
+                if angle < -68.5:
+                    return 'center', 'top'
+                elif angle < -23.5:
+                    return 'left', 'top'
+                elif angle < 22.5:
+                    return 'left', 'center'
+                elif angle < 67.5:
+                    return 'left', 'bottom'
+                elif angle < 112.5:
+                    return 'center', 'bottom'
+                elif angle < 157.5:
+                    return 'right', 'bottom'
+                elif angle < 202.5:
+                    return 'right', 'center'
+                elif angle < 247.5:
+                    return 'right', 'top'
+                else:
+                    return 'center', 'top'
+            else:
+                if angle < -68.5:
+                    return 'center', 'bottom'
+                elif angle < -23.5:
+                    return 'right', 'bottom'
+                elif angle < 22.5:
+                    return 'right', 'center'
+                elif angle < 67.5:
+                    return 'right', 'top'
+                elif angle < 112.5:
+                    return 'center', 'top'
+                elif angle < 157.5:
+                    return 'left', 'top'
+                elif angle < 202.5:
+                    return 'left', 'center'
+                elif angle < 247.5:
+                    return 'left', 'bottom'
+                else:
+                    return 'center', 'bottom'
+
+    def update_position(self, loc):
+        super().update_position(loc)
+        axes = self.axes
+        thetamin = axes.get_thetamin()
+        thetamax = axes.get_thetamax()
+        direction = axes.get_theta_direction()
+        offset_rad = axes.get_theta_offset()
+        offset = np.rad2deg(offset_rad)
+        full = _is_full_circle_deg(thetamin, thetamax)
+
+        if full:
+            angle = (axes.get_rlabel_position() * direction +
+                     offset) % 360 - 90
+            tick_angle = 0
+        else:
+            angle = (thetamin * direction + offset) % 360 - 90
+            if direction > 0:
+                tick_angle = np.deg2rad(angle)
+            else:
+                tick_angle = np.deg2rad(angle + 180)
+        text_angle = (angle + 90) % 180 - 90  # between -90 and +90.
+        mode, user_angle = self._labelrotation
+        if mode == 'auto':
+            text_angle += user_angle
+        else:
+            text_angle = user_angle
 
-        The following optional kwargs are supported:
+        if full:
+            ha = self.label1.get_horizontalalignment()
+            va = self.label1.get_verticalalignment()
+        else:
+            ha, va = self._determine_anchor(mode, angle, direction > 0)
+        self.label1.set_horizontalalignment(ha)
+        self.label1.set_verticalalignment(va)
+        self.label1.set_rotation(text_angle)
+
+        marker = self.tick1line.get_marker()
+        if marker == mmarkers.TICKLEFT:
+            trans = mtransforms.Affine2D().rotate(tick_angle)
+        elif marker == '_':
+            trans = mtransforms.Affine2D().rotate(tick_angle + np.pi / 2)
+        elif marker == mmarkers.TICKRIGHT:
+            trans = mtransforms.Affine2D().scale(-1, 1).rotate(tick_angle)
+        else:
+            # Don't modify custom tick line markers.
+            trans = self.tick1line._marker._transform
+        self.tick1line._marker._transform = trans
+
+        if full:
+            self.label2.set_visible(False)
+            self.tick2line.set_visible(False)
+        angle = (thetamax * direction + offset) % 360 - 90
+        if direction > 0:
+            tick_angle = np.deg2rad(angle)
+        else:
+            tick_angle = np.deg2rad(angle + 180)
+        text_angle = (angle + 90) % 180 - 90  # between -90 and +90.
+        mode, user_angle = self._labelrotation
+        if mode == 'auto':
+            text_angle += user_angle
+        else:
+            text_angle = user_angle
+
+        ha, va = self._determine_anchor(mode, angle, direction < 0)
+        self.label2.set_ha(ha)
+        self.label2.set_va(va)
+        self.label2.set_rotation(text_angle)
+
+        marker = self.tick2line.get_marker()
+        if marker == mmarkers.TICKLEFT:
+            trans = mtransforms.Affine2D().rotate(tick_angle)
+        elif marker == '_':
+            trans = mtransforms.Affine2D().rotate(tick_angle + np.pi / 2)
+        elif marker == mmarkers.TICKRIGHT:
+            trans = mtransforms.Affine2D().scale(-1, 1).rotate(tick_angle)
+        else:
+            # Don't modify custom tick line markers.
+            trans = self.tick2line._marker._transform
+        self.tick2line._marker._transform = trans
 
-          - *resolution*: The number of points of interpolation between
-            each pair of data points.  Set to 1 to disable
-            interpolation.
-        """
-        self.resolution = kwargs.pop('resolution', 1)
-        self._default_theta_offset = kwargs.pop('theta_offset', 0)
-        self._default_theta_direction = kwargs.pop('theta_direction', 1)
-        self._default_rlabel_position = kwargs.pop('rlabel_position', 22.5)
 
-        if self.resolution not in (None, 1):
-            warnings.warn(
-                """The resolution kwarg to Polar plots is now ignored.
-If you need to interpolate data points, consider running
-cbook.simple_linear_interpolation on the data before passing to matplotlib.""")
-        Axes.__init__(self, *args, **kwargs)
+class RadialAxis(maxis.YAxis):
+    """
+    A radial Axis.
+
+    This overrides certain properties of a `.YAxis` to provide special-casing
+    for a radial axis.
+    """
+    __name__ = 'radialaxis'
+    axis_name = 'radius'  #: Read-only name identifying the axis.
+    _tick_class = RadialTick
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.sticky_edges.y.append(0)
+
+    def _wrap_locator_formatter(self):
+        self.set_major_locator(RadialLocator(self.get_major_locator(),
+                                             self.axes))
+        self.isDefault_majloc = True
+
+    def clear(self):
+        # docstring inherited
+        super().clear()
+        self.set_ticks_position('none')
+        self._wrap_locator_formatter()
+
+    def _set_scale(self, value, **kwargs):
+        super()._set_scale(value, **kwargs)
+        self._wrap_locator_formatter()
+
+
+def _is_full_circle_deg(thetamin, thetamax):
+    """
+    Determine if a wedge (in degrees) spans the full circle.
+
+    The condition is derived from :class:`~matplotlib.patches.Wedge`.
+    """
+    return abs(abs(thetamax - thetamin) - 360.0) < 1e-12
+
+
+def _is_full_circle_rad(thetamin, thetamax):
+    """
+    Determine if a wedge (in radians) spans the full circle.
+
+    The condition is derived from :class:`~matplotlib.patches.Wedge`.
+    """
+    return abs(abs(thetamax - thetamin) - 2 * np.pi) < 1.74e-14
+
+
+class _WedgeBbox(mtransforms.Bbox):
+    """
+    Transform (theta, r) wedge Bbox into Axes bounding box.
+
+    Parameters
+    ----------
+    center : (float, float)
+        Center of the wedge
+    viewLim : `~matplotlib.transforms.Bbox`
+        Bbox determining the boundaries of the wedge
+    originLim : `~matplotlib.transforms.Bbox`
+        Bbox determining the origin for the wedge, if different from *viewLim*
+    """
+    def __init__(self, center, viewLim, originLim, **kwargs):
+        super().__init__([[0, 0], [1, 1]], **kwargs)
+        self._center = center
+        self._viewLim = viewLim
+        self._originLim = originLim
+        self.set_children(viewLim, originLim)
+
+    __str__ = mtransforms._make_str_method("_center", "_viewLim", "_originLim")
+
+    def get_points(self):
+        # docstring inherited
+        if self._invalid:
+            points = self._viewLim.get_points().copy()
+            # Scale angular limits to work with Wedge.
+            points[:, 0] *= 180 / np.pi
+            if points[0, 0] > points[1, 0]:
+                points[:, 0] = points[::-1, 0]
+
+            # Scale radial limits based on origin radius.
+            points[:, 1] -= self._originLim.y0
+
+            # Scale radial limits to match axes limits.
+            rscale = 0.5 / points[1, 1]
+            points[:, 1] *= rscale
+            width = min(points[1, 1] - points[0, 1], 0.5)
+
+            # Generate bounding box for wedge.
+            wedge = mpatches.Wedge(self._center, points[1, 1],
+                                   points[0, 0], points[1, 0],
+                                   width=width)
+            self.update_from_path(wedge.get_path())
+
+            # Ensure equal aspect ratio.
+            w, h = self._points[1] - self._points[0]
+            deltah = max(w - h, 0) / 2
+            deltaw = max(h - w, 0) / 2
+            self._points += np.array([[-deltaw, -deltah], [deltaw, deltah]])
+
+            self._invalid = 0
+
+        return self._points
+
+
+class PolarAxes(Axes):
+    """
+    A polar graph projection, where the input dimensions are *theta*, *r*.
+
+    Theta starts pointing east and goes anti-clockwise.
+    """
+    name = 'polar'
+
+    def __init__(self, *args,
+                 theta_offset=0, theta_direction=1, rlabel_position=22.5,
+                 **kwargs):
+        # docstring inherited
+        self._default_theta_offset = theta_offset
+        self._default_theta_direction = theta_direction
+        self._default_rlabel_position = np.deg2rad(rlabel_position)
+        super().__init__(*args, **kwargs)
+        self.use_sticky_edges = True
         self.set_aspect('equal', adjustable='box', anchor='C')
-        self.cla()
-    __init__.__doc__ = Axes.__init__.__doc__
+        self.clear()
 
-    def cla(self):
-        Axes.cla(self)
+    def clear(self):
+        # docstring inherited
+        super().clear()
 
         self.title.set_y(1.05)
 
-        self.xaxis.set_major_formatter(self.ThetaFormatter())
-        self.xaxis.isDefault_majfmt = True
-        angles = np.arange(0.0, 360.0, 45.0)
-        self.set_thetagrids(angles)
-        self.yaxis.set_major_locator(self.RadialLocator(self.yaxis.get_major_locator()))
+        start = self.spines.get('start', None)
+        if start:
+            start.set_visible(False)
+        end = self.spines.get('end', None)
+        if end:
+            end.set_visible(False)
+        self.set_xlim(0.0, 2 * np.pi)
 
-        self.grid(rcParams['polaraxes.grid'])
-        self.xaxis.set_ticks_position('none')
-        self.yaxis.set_ticks_position('none')
-        self.yaxis.set_tick_params(label1On=True)
-        # Why do we need to turn on yaxis tick labels, but
-        # xaxis tick labels are already on?
+        self.grid(mpl.rcParams['polaraxes.grid'])
+        inner = self.spines.get('inner', None)
+        if inner:
+            inner.set_visible(False)
 
+        self.set_rorigin(None)
         self.set_theta_offset(self._default_theta_offset)
         self.set_theta_direction(self._default_theta_direction)
 
     def _init_axis(self):
-        "move this out of __init__ because non-separable axes don't use it"
-        self.xaxis = maxis.XAxis(self)
-        self.yaxis = maxis.YAxis(self)
-        # Calling polar_axes.xaxis.cla() or polar_axes.xaxis.cla()
-        # results in weird artifacts. Therefore we disable this for
-        # now.
-        # self.spines['polar'].register_axis(self.yaxis)
-        self._update_transScale()
+        # This is moved out of __init__ because non-separable axes don't use it
+        self.xaxis = ThetaAxis(self, clear=False)
+        self.yaxis = RadialAxis(self, clear=False)
+        self.spines['polar'].register_axis(self.yaxis)
 
     def _set_lim_and_transforms(self):
-        self.transAxes = BboxTransformTo(self.bbox)
+        # A view limit where the minimum radius can be locked if the user
+        # specifies an alternate origin.
+        self._originViewLim = mtransforms.LockableBbox(self.viewLim)
+
+        # Handle angular offset and direction.
+        self._direction = mtransforms.Affine2D() \
+            .scale(self._default_theta_direction, 1.0)
+        self._theta_offset = mtransforms.Affine2D() \
+            .translate(self._default_theta_offset, 0.0)
+        self.transShift = self._direction + self._theta_offset
+        # A view limit shifted to the correct location after accounting for
+        # orientation and offset.
+        self._realViewLim = mtransforms.TransformedBbox(self.viewLim,
+                                                        self.transShift)
 
         # Transforms the x and y axis separately by a scale factor
         # It is assumed that this part will have non-linear components
-        self.transScale = TransformWrapper(IdentityTransform())
+        self.transScale = mtransforms.TransformWrapper(
+            mtransforms.IdentityTransform())
+
+        # Scale view limit into a bbox around the selected wedge. This may be
+        # smaller than the usual unit axes rectangle if not plotting the full
+        # circle.
+        self.axesLim = _WedgeBbox((0.5, 0.5),
+                                  self._realViewLim, self._originViewLim)
+
+        # Scale the wedge to fill the axes.
+        self.transWedge = mtransforms.BboxTransformFrom(self.axesLim)
+
+        # Scale the axes to fill the figure.
+        self.transAxes = mtransforms.BboxTransformTo(self.bbox)
 
         # A (possibly non-linear) projection on the (already scaled)
         # data.  This one is aware of rmin
-        self.transProjection = self.PolarTransform(self)
-
-        # This one is not aware of rmin
-        self.transPureProjection = self.PolarTransform(self, use_rmin=False)
+        self.transProjection = self.PolarTransform(
+            self,
+            scale_transform=self.transScale
+        )
+        # Add dependency on rorigin.
+        self.transProjection.set_children(self._originViewLim)
 
         # An affine transformation on the data, generally to limit the
         # range of the axes
-        self.transProjectionAffine = self.PolarAffine(self.transScale, self.viewLim)
+        self.transProjectionAffine = self.PolarAffine(self.transScale,
+                                                      self._originViewLim)
 
         # The complete data transformation stack -- from data all the
         # way to display coordinates
-        self.transData = self.transScale + self.transProjection + \
-            (self.transProjectionAffine + self.transAxes)
+        #
+        # 1. Remove any radial axis scaling (e.g. log scaling)
+        # 2. Shift data in the theta direction
+        # 3. Project the data from polar to cartesian values
+        #    (with the origin in the same place)
+        # 4. Scale and translate the cartesian values to Axes coordinates
+        #    (here the origin is moved to the lower left of the Axes)
+        # 5. Move and scale to fill the Axes
+        # 6. Convert from Axes coordinates to Figure coordinates
+        self.transData = (
+            self.transScale +
+            self.transShift +
+            self.transProjection +
+            (
+                self.transProjectionAffine +
+                self.transWedge +
+                self.transAxes
+            )
+        )
 
         # This is the transform for theta-axis ticks.  It is
-        # equivalent to transData, except it always puts r == 1.0 at
-        # the edge of the axis circle.
+        # equivalent to transData, except it always puts r == 0.0 and r == 1.0
+        # at the edge of the axis circles.
         self._xaxis_transform = (
-            self.transPureProjection +
-            self.PolarAffine(IdentityTransform(), Bbox.unit()) +
-            self.transAxes)
-        # The theta labels are moved from radius == 0.0 to radius == 1.1
-        self._theta_label1_position = Affine2D().translate(0.0, 1.1)
-        self._xaxis_text1_transform = (
-            self._theta_label1_position +
-            self._xaxis_transform)
-        self._theta_label2_position = Affine2D().translate(0.0, 1.0 / 1.1)
-        self._xaxis_text2_transform = (
-            self._theta_label2_position +
-            self._xaxis_transform)
+            mtransforms.blended_transform_factory(
+                mtransforms.IdentityTransform(),
+                mtransforms.BboxTransformTo(self.viewLim)) +
+            self.transData)
+        # The theta labels are flipped along the radius, so that text 1 is on
+        # the outside by default. This should work the same as before.
+        flipr_transform = mtransforms.Affine2D() \
+            .translate(0.0, -0.5) \
+            .scale(1.0, -1.0) \
+            .translate(0.0, 0.5)
+        self._xaxis_text_transform = flipr_transform + self._xaxis_transform
 
         # This is the transform for r-axis ticks.  It scales the theta
-        # axis so the gridlines from 0.0 to 1.0, now go from 0.0 to
-        # 2pi.
+        # axis so the gridlines from 0.0 to 1.0, now go from thetamin to
+        # thetamax.
         self._yaxis_transform = (
-            Affine2D().scale(np.pi * 2.0, 1.0) +
+            mtransforms.blended_transform_factory(
+                mtransforms.BboxTransformTo(self.viewLim),
+                mtransforms.IdentityTransform()) +
             self.transData)
         # The r-axis labels are put at an angle and padded in the r-direction
-        self._r_label_position = ScaledTranslation(
-            self._default_rlabel_position, 0.0, Affine2D())
-        self._yaxis_text_transform = (
-            self._r_label_position +
-            Affine2D().scale(1.0 / 360.0, 1.0) +
-            self._yaxis_transform
-            )
+        self._r_label_position = mtransforms.Affine2D() \
+            .translate(self._default_rlabel_position, 0.0)
+        self._yaxis_text_transform = mtransforms.TransformWrapper(
+            self._r_label_position + self.transData)
 
-    def get_xaxis_transform(self,which='grid'):
-        assert which in ['tick1','tick2','grid']
+    def get_xaxis_transform(self, which='grid'):
+        _api.check_in_list(['tick1', 'tick2', 'grid'], which=which)
         return self._xaxis_transform
 
     def get_xaxis_text1_transform(self, pad):
-        return self._xaxis_text1_transform, 'center', 'center'
+        return self._xaxis_text_transform, 'center', 'center'
 
     def get_xaxis_text2_transform(self, pad):
-        return self._xaxis_text2_transform, 'center', 'center'
+        return self._xaxis_text_transform, 'center', 'center'
 
-    def get_yaxis_transform(self,which='grid'):
-        assert which in ['tick1','tick2','grid']
-        return self._yaxis_transform
+    def get_yaxis_transform(self, which='grid'):
+        if which in ('tick1', 'tick2'):
+            return self._yaxis_text_transform
+        elif which == 'grid':
+            return self._yaxis_transform
+        else:
+            _api.check_in_list(['tick1', 'tick2', 'grid'], which=which)
 
     def get_yaxis_text1_transform(self, pad):
-        angle = self.get_rlabel_position()
-        if angle < 90.:
+        thetamin, thetamax = self._realViewLim.intervalx
+        if _is_full_circle_rad(thetamin, thetamax):
             return self._yaxis_text_transform, 'bottom', 'left'
-        elif angle < 180.:
-            return self._yaxis_text_transform, 'bottom', 'right'
-        elif angle < 270.:
-            return self._yaxis_text_transform, 'top', 'right'
+        elif self.get_theta_direction() > 0:
+            halign = 'left'
+            pad_shift = _ThetaShift(self, pad, 'min')
         else:
-            return self._yaxis_text_transform, 'top', 'left'
+            halign = 'right'
+            pad_shift = _ThetaShift(self, pad, 'max')
+        return self._yaxis_text_transform + pad_shift, 'center', halign
 
     def get_yaxis_text2_transform(self, pad):
-        angle = self.get_rlabel_position()
-        if angle < 90.:
-            return self._yaxis_text_transform, 'top', 'right'
-        elif angle < 180.:
-            return self._yaxis_text_transform, 'top', 'left'
-        elif angle < 270.:
-            return self._yaxis_text_transform, 'bottom', 'left'
+        if self.get_theta_direction() > 0:
+            halign = 'right'
+            pad_shift = _ThetaShift(self, pad, 'max')
         else:
-            return self._yaxis_text_transform, 'bottom', 'right'
+            halign = 'left'
+            pad_shift = _ThetaShift(self, pad, 'min')
+        return self._yaxis_text_transform + pad_shift, 'center', halign
+
+    def draw(self, renderer):
+        self._unstale_viewLim()
+        thetamin, thetamax = np.rad2deg(self._realViewLim.intervalx)
+        if thetamin > thetamax:
+            thetamin, thetamax = thetamax, thetamin
+        rmin, rmax = ((self._realViewLim.intervaly - self.get_rorigin()) *
+                      self.get_rsign())
+        if isinstance(self.patch, mpatches.Wedge):
+            # Backwards-compatibility: Any subclassed Axes might override the
+            # patch to not be the Wedge that PolarAxes uses.
+            center = self.transWedge.transform((0.5, 0.5))
+            self.patch.set_center(center)
+            self.patch.set_theta1(thetamin)
+            self.patch.set_theta2(thetamax)
+
+            edge, _ = self.transWedge.transform((1, 0))
+            radius = edge - center[0]
+            width = min(radius * (rmax - rmin) / rmax, radius)
+            self.patch.set_radius(radius)
+            self.patch.set_width(width)
+
+            inner_width = radius - width
+            inner = self.spines.get('inner', None)
+            if inner:
+                inner.set_visible(inner_width != 0.0)
+
+        visible = not _is_full_circle_deg(thetamin, thetamax)
+        # For backwards compatibility, any subclassed Axes might override the
+        # spines to not include start/end that PolarAxes uses.
+        start = self.spines.get('start', None)
+        end = self.spines.get('end', None)
+        if start:
+            start.set_visible(visible)
+        if end:
+            end.set_visible(visible)
+        if visible:
+            yaxis_text_transform = self._yaxis_transform
+        else:
+            yaxis_text_transform = self._r_label_position + self.transData
+        if self._yaxis_text_transform != yaxis_text_transform:
+            self._yaxis_text_transform.set(yaxis_text_transform)
+            self.yaxis.reset_ticks()
+            self.yaxis.set_clip_path(self.patch)
+
+        super().draw(renderer)
 
     def _gen_axes_patch(self):
-        return Circle((0.5, 0.5), 0.5)
+        return mpatches.Wedge((0.5, 0.5), 0.5, 0.0, 360.0)
 
     def _gen_axes_spines(self):
-        return {'polar':mspines.Spine.circular_spine(self,
-                                                     (0.5, 0.5), 0.5)}
-
-    def set_rmax(self, rmax):
-        self.viewLim.y1 = rmax
-
-    def get_rmax(self):
-        return self.viewLim.ymax
-
-    def set_rmin(self, rmin):
-        self.viewLim.y0 = rmin
-
-    def get_rmin(self):
-        return self.viewLim.ymin
+        spines = {
+            'polar': Spine.arc_spine(self, 'top', (0.5, 0.5), 0.5, 0, 360),
+            'start': Spine.linear_spine(self, 'left'),
+            'end': Spine.linear_spine(self, 'right'),
+            'inner': Spine.arc_spine(self, 'bottom', (0.5, 0.5), 0.0, 0, 360),
+        }
+        spines['polar'].set_transform(self.transWedge + self.transAxes)
+        spines['inner'].set_transform(self.transWedge + self.transAxes)
+        spines['start'].set_transform(self._yaxis_transform)
+        spines['end'].set_transform(self._yaxis_transform)
+        return spines
+
+    def set_thetamax(self, thetamax):
+        """Set the maximum theta limit in degrees."""
+        self.viewLim.x1 = np.deg2rad(thetamax)
+
+    def get_thetamax(self):
+        """Return the maximum theta limit in degrees."""
+        return np.rad2deg(self.viewLim.xmax)
+
+    def set_thetamin(self, thetamin):
+        """Set the minimum theta limit in degrees."""
+        self.viewLim.x0 = np.deg2rad(thetamin)
+
+    def get_thetamin(self):
+        """Get the minimum theta limit in degrees."""
+        return np.rad2deg(self.viewLim.xmin)
+
+    def set_thetalim(self, *args, **kwargs):
+        r"""
+        Set the minimum and maximum theta values.
+
+        Can take the following signatures:
+
+        - ``set_thetalim(minval, maxval)``: Set the limits in radians.
+        - ``set_thetalim(thetamin=minval, thetamax=maxval)``: Set the limits
+          in degrees.
+
+        where minval and maxval are the minimum and maximum limits. Values are
+        wrapped in to the range :math:`[0, 2\pi]` (in radians), so for example
+        it is possible to do ``set_thetalim(-np.pi / 2, np.pi / 2)`` to have
+        an axis symmetric around 0. A ValueError is raised if the absolute
+        angle difference is larger than a full circle.
+        """
+        orig_lim = self.get_xlim()  # in radians
+        if 'thetamin' in kwargs:
+            kwargs['xmin'] = np.deg2rad(kwargs.pop('thetamin'))
+        if 'thetamax' in kwargs:
+            kwargs['xmax'] = np.deg2rad(kwargs.pop('thetamax'))
+        new_min, new_max = self.set_xlim(*args, **kwargs)
+        # Parsing all permutations of *args, **kwargs is tricky; it is simpler
+        # to let set_xlim() do it and then validate the limits.
+        if abs(new_max - new_min) > 2 * np.pi:
+            self.set_xlim(orig_lim)  # un-accept the change
+            raise ValueError("The angle range must be less than a full circle")
+        return tuple(np.rad2deg((new_min, new_max)))
 
     def set_theta_offset(self, offset):
         """
         Set the offset for the location of 0 in radians.
         """
-        self._theta_offset = offset
+        mtx = self._theta_offset.get_matrix()
+        mtx[0, 2] = offset
+        self._theta_offset.invalidate()
 
     def get_theta_offset(self):
         """
         Get the offset for the location of 0 in radians.
         """
-        return self._theta_offset
+        return self._theta_offset.get_matrix()[0, 2]
 
-    def set_theta_zero_location(self, loc):
+    def set_theta_zero_location(self, loc, offset=0.0):
         """
-        Sets the location of theta's zero.  (Calls set_theta_offset
-        with the correct value in radians under the hood.)
+        Set the location of theta's zero.
+
+        This simply calls `set_theta_offset` with the correct value in radians.
 
-        May be one of "N", "NW", "W", "SW", "S", "SE", "E", or "NE".
+        Parameters
+        ----------
+        loc : str
+            May be one of "N", "NW", "W", "SW", "S", "SE", "E", or "NE".
+        offset : float, default: 0
+            An offset in degrees to apply from the specified *loc*. **Note:**
+            this offset is *always* applied counter-clockwise regardless of
+            the direction setting.
         """
         mapping = {
             'N': np.pi * 0.5,
@@ -415,8 +1100,8 @@ def set_theta_zero_location(self, loc):
             'S': np.pi * 1.5,
             'SE': np.pi * 1.75,
             'E': 0,
-            'NE': np.pi * 0.25 }
-        return self.set_theta_offset(mapping[loc])
+            'NE': np.pi * 0.25}
+        return self.set_theta_offset(mapping[loc] + np.deg2rad(offset))
 
     def set_theta_direction(self, direction):
         """
@@ -428,14 +1113,16 @@ def set_theta_direction(self, direction):
         counterclockwise, anticlockwise, 1:
            Theta increases in the counterclockwise direction
         """
-        if direction in ('clockwise',):
-            self._direction = -1
-        elif direction in ('counterclockwise', 'anticlockwise'):
-            self._direction = 1
-        elif direction in (1, -1):
-            self._direction = direction
+        mtx = self._direction.get_matrix()
+        if direction in ('clockwise', -1):
+            mtx[0, 0] = -1
+        elif direction in ('counterclockwise', 'anticlockwise', 1):
+            mtx[0, 0] = 1
         else:
-            raise ValueError("direction must be 1, -1, clockwise or counterclockwise")
+            _api.check_in_list(
+                [-1, 1, 'clockwise', 'counterclockwise', 'anticlockwise'],
+                direction=direction)
+        self._direction.invalidate()
 
     def get_theta_direction(self):
         """
@@ -447,14 +1134,93 @@ def get_theta_direction(self):
         1:
            Theta increases in the counterclockwise direction
         """
-        return self._direction
+        return self._direction.get_matrix()[0, 0]
+
+    def set_rmax(self, rmax):
+        """
+        Set the outer radial limit.
+
+        Parameters
+        ----------
+        rmax : float
+        """
+        self.viewLim.y1 = rmax
+
+    def get_rmax(self):
+        """
+        Returns
+        -------
+        float
+            Outer radial limit.
+        """
+        return self.viewLim.ymax
+
+    def set_rmin(self, rmin):
+        """
+        Set the inner radial limit.
+
+        Parameters
+        ----------
+        rmin : float
+        """
+        self.viewLim.y0 = rmin
+
+    def get_rmin(self):
+        """
+        Returns
+        -------
+        float
+            The inner radial limit.
+        """
+        return self.viewLim.ymin
+
+    def set_rorigin(self, rorigin):
+        """
+        Update the radial origin.
+
+        Parameters
+        ----------
+        rorigin : float
+        """
+        self._originViewLim.locked_y0 = rorigin
+
+    def get_rorigin(self):
+        """
+        Returns
+        -------
+        float
+        """
+        return self._originViewLim.y0
 
-    def set_rlim(self, *args, **kwargs):
+    def get_rsign(self):
+        return np.sign(self._originViewLim.y1 - self._originViewLim.y0)
+
+    def set_rlim(self, bottom=None, top=None, *,
+                 emit=True, auto=False, **kwargs):
+        """
+        Set the radial axis view limits.
+
+        This function behaves like `.Axes.set_ylim`, but additionally supports
+        *rmin* and *rmax* as aliases for *bottom* and *top*.
+
+        See Also
+        --------
+        .Axes.set_ylim
+        """
         if 'rmin' in kwargs:
-            kwargs['ymin'] = kwargs.pop('rmin')
+            if bottom is None:
+                bottom = kwargs.pop('rmin')
+            else:
+                raise ValueError('Cannot supply both positional "bottom"'
+                                 'argument and kwarg "rmin"')
         if 'rmax' in kwargs:
-            kwargs['ymax'] = kwargs.pop('rmax')
-        return self.set_ylim(*args, **kwargs)
+            if top is None:
+                top = kwargs.pop('rmax')
+            else:
+                raise ValueError('Cannot supply both positional "top"'
+                                 'argument and kwarg "rmax"')
+        return self.set_ylim(bottom=bottom, top=top, emit=emit, auto=auto,
+                             **kwargs)
 
     def get_rlabel_position(self):
         """
@@ -463,155 +1229,226 @@ def get_rlabel_position(self):
         float
             The theta position of the radius labels in degrees.
         """
-        return self._r_label_position.to_values()[4]
-    
+        return np.rad2deg(self._r_label_position.get_matrix()[0, 2])
+
     def set_rlabel_position(self, value):
-        """Updates the theta position of the radius labels.
-        
+        """
+        Update the theta position of the radius labels.
+
         Parameters
         ----------
         value : number
             The angular position of the radius labels in degrees.
         """
-        self._r_label_position._t = (value, 0.0)
-        self._r_label_position.invalidate()
+        self._r_label_position.clear().translate(np.deg2rad(value), 0.0)
 
     def set_yscale(self, *args, **kwargs):
-        Axes.set_yscale(self, *args, **kwargs)
+        super().set_yscale(*args, **kwargs)
         self.yaxis.set_major_locator(
-            self.RadialLocator(self.yaxis.get_major_locator()))
+            self.RadialLocator(self.yaxis.get_major_locator(), self))
 
     def set_rscale(self, *args, **kwargs):
         return Axes.set_yscale(self, *args, **kwargs)
+
     def set_rticks(self, *args, **kwargs):
-        return Axes.set_yticks(self, *args, **kwargs)
+        result = Axes.set_yticks(self, *args, **kwargs)
+        self.yaxis.set_major_locator(
+            self.RadialLocator(self.yaxis.get_major_locator(), self))
+        return result
 
-    @docstring.dedent_interpd
-    def set_thetagrids(self, angles, labels=None, frac=None, fmt=None,
-                       **kwargs):
+    def set_thetagrids(self, angles, labels=None, fmt=None, **kwargs):
         """
-        Set the angles at which to place the theta grids (these
-        gridlines are equal along the theta dimension).  *angles* is in
-        degrees.
+        Set the theta gridlines in a polar plot.
+
+        Parameters
+        ----------
+        angles : tuple with floats, degrees
+            The angles of the theta gridlines.
+
+        labels : tuple with strings or None
+            The labels to use at each theta gridline. The
+            `.projections.polar.ThetaFormatter` will be used if None.
+
+        fmt : str or None
+            Format string used in `matplotlib.ticker.FormatStrFormatter`.
+            For example '%f'. Note that the angle that is used is in
+            radians.
 
-        *labels*, if not None, is a ``len(angles)`` list of strings of
-        the labels to use at each angle.
+        Returns
+        -------
+        lines : list of `.lines.Line2D`
+            The theta gridlines.
 
-        If *labels* is None, the labels will be ``fmt %% angle``
+        labels : list of `.text.Text`
+            The tick labels.
 
-        *frac* is the fraction of the polar axes radius at which to
-        place the label (1 is the edge). e.g., 1.05 is outside the axes
-        and 0.95 is inside the axes.
+        Other Parameters
+        ----------------
+        **kwargs
+            *kwargs* are optional `.Text` properties for the labels.
 
-        Return value is a list of tuples (*line*, *label*), where
-        *line* is :class:`~matplotlib.lines.Line2D` instances and the
-        *label* is :class:`~matplotlib.text.Text` instances.
+            .. warning::
 
-        kwargs are optional text properties for the labels:
+                This only sets the properties of the current ticks.
+                Ticks are not guaranteed to be persistent. Various operations
+                can create, delete and modify the Tick instances. There is an
+                imminent risk that these settings can get lost if you work on
+                the figure further (including also panning/zooming on a
+                displayed figure).
 
-        %(Text)s
+                Use `.set_tick_params` instead if possible.
 
-        ACCEPTS: sequence of floats
+        See Also
+        --------
+        .PolarAxes.set_rgrids
+        .Axis.get_gridlines
+        .Axis.get_ticklabels
         """
+
         # Make sure we take into account unitized data
         angles = self.convert_yunits(angles)
-        angles = np.asarray(angles, np.float_)
-        self.set_xticks(angles * (np.pi / 180.0))
+        angles = np.deg2rad(angles)
+        self.set_xticks(angles)
         if labels is not None:
             self.set_xticklabels(labels)
         elif fmt is not None:
-            self.xaxis.set_major_formatter(FormatStrFormatter(fmt))
-        if frac is not None:
-            self._theta_label1_position.clear().translate(0.0, frac)
-            self._theta_label2_position.clear().translate(0.0, 1.0 / frac)
+            self.xaxis.set_major_formatter(mticker.FormatStrFormatter(fmt))
         for t in self.xaxis.get_ticklabels():
-            t.update(kwargs)
+            t._internal_update(kwargs)
         return self.xaxis.get_ticklines(), self.xaxis.get_ticklabels()
 
-    @docstring.dedent_interpd
-    def set_rgrids(self, radii, labels=None, angle=None, fmt=None,
-                   **kwargs):
+    def set_rgrids(self, radii, labels=None, angle=None, fmt=None, **kwargs):
         """
-        Set the radial locations and labels of the *r* grids.
+        Set the radial gridlines on a polar plot.
 
-        The labels will appear at radial distances *radii* at the
-        given *angle* in degrees.
+        Parameters
+        ----------
+        radii : tuple with floats
+            The radii for the radial gridlines
 
-        *labels*, if not None, is a ``len(radii)`` list of strings of the
-        labels to use at each radius.
+        labels : tuple with strings or None
+            The labels to use at each radial gridline. The
+            `matplotlib.ticker.ScalarFormatter` will be used if None.
 
-        If *labels* is None, the built-in formatter will be used.
+        angle : float
+            The angular position of the radius labels in degrees.
+
+        fmt : str or None
+            Format string used in `matplotlib.ticker.FormatStrFormatter`.
+            For example '%f'.
 
-        Return value is a list of tuples (*line*, *label*), where
-        *line* is :class:`~matplotlib.lines.Line2D` instances and the
-        *label* is :class:`~matplotlib.text.Text` instances.
+        Returns
+        -------
+        lines : list of `.lines.Line2D`
+            The radial gridlines.
 
-        kwargs are optional text properties for the labels:
+        labels : list of `.text.Text`
+            The tick labels.
 
-        %(Text)s
+        Other Parameters
+        ----------------
+        **kwargs
+            *kwargs* are optional `.Text` properties for the labels.
 
-        ACCEPTS: sequence of floats
+            .. warning::
+
+                This only sets the properties of the current ticks.
+                Ticks are not guaranteed to be persistent. Various operations
+                can create, delete and modify the Tick instances. There is an
+                imminent risk that these settings can get lost if you work on
+                the figure further (including also panning/zooming on a
+                displayed figure).
+
+                Use `.set_tick_params` instead if possible.
+
+        See Also
+        --------
+        .PolarAxes.set_thetagrids
+        .Axis.get_gridlines
+        .Axis.get_ticklabels
         """
         # Make sure we take into account unitized data
         radii = self.convert_xunits(radii)
         radii = np.asarray(radii)
-        rmin = radii.min()
-        if rmin <= 0:
-            raise ValueError('radial grids must be strictly positive')
 
         self.set_yticks(radii)
         if labels is not None:
             self.set_yticklabels(labels)
         elif fmt is not None:
-            self.yaxis.set_major_formatter(FormatStrFormatter(fmt))
+            self.yaxis.set_major_formatter(mticker.FormatStrFormatter(fmt))
         if angle is None:
             angle = self.get_rlabel_position()
         self.set_rlabel_position(angle)
         for t in self.yaxis.get_ticklabels():
-            t.update(kwargs)
+            t._internal_update(kwargs)
         return self.yaxis.get_gridlines(), self.yaxis.get_ticklabels()
 
-    def set_xscale(self, scale, *args, **kwargs):
-        if scale != 'linear':
-            raise NotImplementedError("You can not set the xscale on a polar plot.")
-
-    def set_xlim(self, *args, **kargs):
-        # The xlim is fixed, no matter what you do
-        self.viewLim.intervalx = (0.0, np.pi * 2.0)
-
     def format_coord(self, theta, r):
-        """
-        Return a format string formatting the coordinate using Unicode
-        characters.
-        """
-        theta /= math.pi
-        # \u03b8: lower-case theta
-        # \u03c0: lower-case pi
-        # \u00b0: degree symbol
-        return '\u03b8=%0.3f\u03c0 (%0.3f\u00b0), r=%0.3f' % (theta, theta * 180.0, r)
+        # docstring inherited
+        screen_xy = self.transData.transform((theta, r))
+        screen_xys = screen_xy + np.stack(
+            np.meshgrid([-1, 0, 1], [-1, 0, 1])).reshape((2, -1)).T
+        ts, rs = self.transData.inverted().transform(screen_xys).T
+        delta_t = abs((ts - theta + np.pi) % (2 * np.pi) - np.pi).max()
+        delta_t_halfturns = delta_t / np.pi
+        delta_t_degrees = delta_t_halfturns * 180
+        delta_r = abs(rs - r).max()
+        if theta < 0:
+            theta += 2 * np.pi
+        theta_halfturns = theta / np.pi
+        theta_degrees = theta_halfturns * 180
+
+        # See ScalarFormatter.format_data_short.  For r, use #g-formatting
+        # (as for linear axes), but for theta, use f-formatting as scientific
+        # notation doesn't make sense and the trailing dot is ugly.
+        def format_sig(value, delta, opt, fmt):
+            # For "f", only count digits after decimal point.
+            prec = (max(0, -math.floor(math.log10(delta))) if fmt == "f" else
+                    cbook._g_sig_digits(value, delta))
+            return f"{value:-{opt}.{prec}{fmt}}"
+
+        # In case fmt_xdata was not specified, resort to default
+
+        if self.fmt_ydata is None:
+            r_label = format_sig(r, delta_r, "#", "g")
+        else:
+            r_label = self.format_ydata(r)
+
+        if self.fmt_xdata is None:
+            return ('\N{GREEK SMALL LETTER THETA}={}\N{GREEK SMALL LETTER PI} '
+                    '({}\N{DEGREE SIGN}), r={}').format(
+                    format_sig(theta_halfturns, delta_t_halfturns, "", "f"),
+                    format_sig(theta_degrees, delta_t_degrees, "", "f"),
+                    r_label
+                )
+        else:
+            return '\N{GREEK SMALL LETTER THETA}={}, r={}'.format(
+                        self.format_xdata(theta),
+                        r_label
+                        )
 
     def get_data_ratio(self):
-        '''
+        """
         Return the aspect ratio of the data itself.  For a polar plot,
         this should always be 1.0
-        '''
+        """
         return 1.0
 
-    ### Interactive panning
+    # # # Interactive panning
 
     def can_zoom(self):
         """
-        Return *True* if this axes supports the zoom box button functionality.
+        Return whether this Axes supports the zoom box button functionality.
 
-        Polar axes do not support zoom boxes.
+        A polar Axes does not support zoom boxes.
         """
         return False
 
-    def can_pan(self) :
+    def can_pan(self):
         """
-        Return *True* if this axes supports the pan/zoom button functionality.
+        Return whether this Axes supports the pan/zoom button functionality.
 
-        For polar axes, this is slightly misleading. Both panning and
+        For a polar Axes, this is slightly misleading. Both panning and
         zooming are performed by the same button. Panning is performed
         in azimuth while zooming is done along the radial.
         """
@@ -622,21 +1459,20 @@ def start_pan(self, x, y, button):
         mode = ''
         if button == 1:
             epsilon = np.pi / 45.0
-            t, r = self.transData.inverted().transform_point((x, y))
-            if t >= angle - epsilon and t <= angle + epsilon:
+            t, r = self.transData.inverted().transform((x, y))
+            if angle - epsilon <= t <= angle + epsilon:
                 mode = 'drag_r_labels'
         elif button == 3:
             mode = 'zoom'
 
-        self._pan_start = cbook.Bunch(
-            rmax          = self.get_rmax(),
-            trans         = self.transData.frozen(),
-            trans_inverse = self.transData.inverted().frozen(),
-            r_label_angle = self.get_rlabel_position(),
-            x             = x,
-            y             = y,
-            mode          = mode
-            )
+        self._pan_start = types.SimpleNamespace(
+            rmax=self.get_rmax(),
+            trans=self.transData.frozen(),
+            trans_inverse=self.transData.inverted().frozen(),
+            r_label_angle=self.get_rlabel_position(),
+            x=x,
+            y=y,
+            mode=mode)
 
     def end_pan(self):
         del self._pan_start
@@ -645,17 +1481,11 @@ def drag_pan(self, button, key, x, y):
         p = self._pan_start
 
         if p.mode == 'drag_r_labels':
-            startt, startr = p.trans_inverse.transform_point((p.x, p.y))
-            t, r = p.trans_inverse.transform_point((x, y))
+            (startt, startr), (t, r) = p.trans_inverse.transform(
+                [(p.x, p.y), (x, y)])
 
             # Deal with theta
-            dt0 = t - startt
-            dt1 = startt - t
-            if abs(dt1) < abs(dt0):
-                dt = abs(dt1) * sign(dt0) * -1.0
-            else:
-                dt = dt0 * -1.0
-            dt = (dt / np.pi) * 180.0
+            dt = np.rad2deg(startt - t)
             self.set_rlabel_position(p.r_label_angle - dt)
 
             trans, vert1, horiz1 = self.get_yaxis_text1_transform(0.0)
@@ -667,134 +1497,23 @@ def drag_pan(self, button, key, x, y):
                 t.label2.set_ha(horiz2)
 
         elif p.mode == 'zoom':
-            startt, startr = p.trans_inverse.transform_point((p.x, p.y))
-            t, r = p.trans_inverse.transform_point((x, y))
-
-            dr = r - startr
+            (startt, startr), (t, r) = p.trans_inverse.transform(
+                [(p.x, p.y), (x, y)])
 
             # Deal with r
             scale = r / startr
             self.set_rmax(p.rmax / scale)
 
 
-# to keep things all self contained, we can put aliases to the Polar classes
+# To keep things all self-contained, we can put aliases to the Polar classes
 # defined above. This isn't strictly necessary, but it makes some of the
-# code more readable (and provides a backwards compatible Polar API)
+# code more readable, and provides a backwards compatible Polar API. In
+# particular, this is used by the :doc:`/gallery/specialty_plots/radar_chart`
+# example to override PolarTransform on a PolarAxes subclass, so make sure that
+# that example is unaffected before changing this.
 PolarAxes.PolarTransform = PolarTransform
 PolarAxes.PolarAffine = PolarAffine
 PolarAxes.InvertedPolarTransform = InvertedPolarTransform
 PolarAxes.ThetaFormatter = ThetaFormatter
 PolarAxes.RadialLocator = RadialLocator
-
-
-# These are a couple of aborted attempts to project a polar plot using
-# cubic bezier curves.
-
-#         def transform_path(self, path):
-#             twopi = 2.0 * np.pi
-#             halfpi = 0.5 * np.pi
-
-#             vertices = path.vertices
-#             t0 = vertices[0:-1, 0]
-#             t1 = vertices[1:  , 0]
-#             td = np.where(t1 > t0, t1 - t0, twopi - (t0 - t1))
-#             maxtd = td.max()
-#             interpolate = np.ceil(maxtd / halfpi)
-#             if interpolate > 1.0:
-#                 vertices = self.interpolate(vertices, interpolate)
-
-#             vertices = self.transform(vertices)
-
-#             result = np.zeros((len(vertices) * 3 - 2, 2), np.float_)
-#             codes = mpath.Path.CURVE4 * np.ones((len(vertices) * 3 - 2, ), mpath.Path.code_type)
-#             result[0] = vertices[0]
-#             codes[0] = mpath.Path.MOVETO
-
-#             kappa = 4.0 * ((np.sqrt(2.0) - 1.0) / 3.0)
-#             kappa = 0.5
-
-#             p0   = vertices[0:-1]
-#             p1   = vertices[1:  ]
-
-#             x0   = p0[:, 0:1]
-#             y0   = p0[:, 1: ]
-#             b0   = ((y0 - x0) - y0) / ((x0 + y0) - x0)
-#             a0   = y0 - b0*x0
-
-#             x1   = p1[:, 0:1]
-#             y1   = p1[:, 1: ]
-#             b1   = ((y1 - x1) - y1) / ((x1 + y1) - x1)
-#             a1   = y1 - b1*x1
-
-#             x = -(a0-a1) / (b0-b1)
-#             y = a0 + b0*x
-
-#             xk = (x - x0) * kappa + x0
-#             yk = (y - y0) * kappa + y0
-
-#             result[1::3, 0:1] = xk
-#             result[1::3, 1: ] = yk
-
-#             xk = (x - x1) * kappa + x1
-#             yk = (y - y1) * kappa + y1
-
-#             result[2::3, 0:1] = xk
-#             result[2::3, 1: ] = yk
-
-#             result[3::3] = p1
-
-#             print vertices[-2:]
-#             print result[-2:]
-
-#             return mpath.Path(result, codes)
-
-#             twopi = 2.0 * np.pi
-#             halfpi = 0.5 * np.pi
-
-#             vertices = path.vertices
-#             t0 = vertices[0:-1, 0]
-#             t1 = vertices[1:  , 0]
-#             td = np.where(t1 > t0, t1 - t0, twopi - (t0 - t1))
-#             maxtd = td.max()
-#             interpolate = np.ceil(maxtd / halfpi)
-
-#             print "interpolate", interpolate
-#             if interpolate > 1.0:
-#                 vertices = self.interpolate(vertices, interpolate)
-
-#             result = np.zeros((len(vertices) * 3 - 2, 2), np.float_)
-#             codes = mpath.Path.CURVE4 * np.ones((len(vertices) * 3 - 2, ), mpath.Path.code_type)
-#             result[0] = vertices[0]
-#             codes[0] = mpath.Path.MOVETO
-
-#             kappa = 4.0 * ((np.sqrt(2.0) - 1.0) / 3.0)
-#             tkappa = np.arctan(kappa)
-#             hyp_kappa = np.sqrt(kappa*kappa + 1.0)
-
-#             t0 = vertices[0:-1, 0]
-#             t1 = vertices[1:  , 0]
-#             r0 = vertices[0:-1, 1]
-#             r1 = vertices[1:  , 1]
-
-#             td = np.where(t1 > t0, t1 - t0, twopi - (t0 - t1))
-#             td_scaled = td / (np.pi * 0.5)
-#             rd = r1 - r0
-#             r0kappa = r0 * kappa * td_scaled
-#             r1kappa = r1 * kappa * td_scaled
-#             ravg_kappa = ((r1 + r0) / 2.0) * kappa * td_scaled
-
-#             result[1::3, 0] = t0 + (tkappa * td_scaled)
-#             result[1::3, 1] = r0*hyp_kappa
-#             # result[1::3, 1] = r0 / np.cos(tkappa * td_scaled) # np.sqrt(r0*r0 + ravg_kappa*ravg_kappa)
-
-#             result[2::3, 0] = t1 - (tkappa * td_scaled)
-#             result[2::3, 1] = r1*hyp_kappa
-#             # result[2::3, 1] = r1 / np.cos(tkappa * td_scaled) # np.sqrt(r1*r1 + ravg_kappa*ravg_kappa)
-
-#             result[3::3, 0] = t1
-#             result[3::3, 1] = r1
-
-#             print vertices[:6], result[:6], t0[:6], t1[:6], td[:6], td_scaled[:6], tkappa
-#             result = self.transform(result)
-#             return mpath.Path(result, codes)
-#         transform_path_non_affine = transform_path
+PolarAxes.ThetaLocator = ThetaLocator
diff --git a/lib/matplotlib/projections/polar.pyi b/lib/matplotlib/projections/polar.pyi
new file mode 100644
index 000000000000..fc1d508579b5
--- /dev/null
+++ b/lib/matplotlib/projections/polar.pyi
@@ -0,0 +1,194 @@
+import matplotlib.axis as maxis
+import matplotlib.ticker as mticker
+import matplotlib.transforms as mtransforms
+from matplotlib.axes import Axes
+from matplotlib.lines import Line2D
+from matplotlib.text import Text
+
+import numpy as np
+from numpy.typing import ArrayLike
+from collections.abc import Sequence
+from typing import Any, ClassVar, Literal, overload
+
+class PolarTransform(mtransforms.Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(
+        self,
+        axis: PolarAxes | None = ...,
+        use_rmin: bool = ...,
+        *,
+        scale_transform: mtransforms.Transform | None = ...,
+    ) -> None: ...
+    def inverted(self) -> InvertedPolarTransform: ...
+
+class PolarAffine(mtransforms.Affine2DBase):
+    def __init__(
+        self, scale_transform: mtransforms.Transform, limits: mtransforms.BboxBase
+    ) -> None: ...
+
+class InvertedPolarTransform(mtransforms.Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(
+        self,
+        axis: PolarAxes | None = ...,
+        use_rmin: bool = ...,
+    ) -> None: ...
+    def inverted(self) -> PolarTransform: ...
+
+class ThetaFormatter(mticker.Formatter): ...
+
+class _AxisWrapper:
+    def __init__(self, axis: maxis.Axis) -> None: ...
+    def get_view_interval(self) -> np.ndarray: ...
+    def set_view_interval(self, vmin: float, vmax: float) -> None: ...
+    def get_minpos(self) -> float: ...
+    def get_data_interval(self) -> np.ndarray: ...
+    def set_data_interval(self, vmin: float, vmax: float) -> None: ...
+    def get_tick_space(self) -> int: ...
+
+class ThetaLocator(mticker.Locator):
+    base: mticker.Locator
+    axis: _AxisWrapper | None
+    def __init__(self, base: mticker.Locator) -> None: ...
+
+class ThetaTick(maxis.XTick):
+    def __init__(self, axes: PolarAxes, *args, **kwargs) -> None: ...
+
+class ThetaAxis(maxis.XAxis):
+    axis_name: str
+
+class RadialLocator(mticker.Locator):
+    base: mticker.Locator
+    def __init__(self, base, axes: PolarAxes | None = ...) -> None: ...
+
+class RadialTick(maxis.YTick): ...
+
+class RadialAxis(maxis.YAxis):
+    axis_name: str
+
+class _WedgeBbox(mtransforms.Bbox):
+    def __init__(
+        self,
+        center: tuple[float, float],
+        viewLim: mtransforms.Bbox,
+        originLim: mtransforms.Bbox,
+        **kwargs,
+    ) -> None: ...
+
+class PolarAxes(Axes):
+
+    PolarTransform: ClassVar[type] = PolarTransform
+    PolarAffine: ClassVar[type] = PolarAffine
+    InvertedPolarTransform: ClassVar[type] = InvertedPolarTransform
+    ThetaFormatter: ClassVar[type] = ThetaFormatter
+    RadialLocator: ClassVar[type] = RadialLocator
+    ThetaLocator: ClassVar[type] = ThetaLocator
+
+    name: str
+    use_sticky_edges: bool
+    def __init__(
+        self,
+        *args,
+        theta_offset: float = ...,
+        theta_direction: float = ...,
+        rlabel_position: float = ...,
+        **kwargs,
+    ) -> None: ...
+    def get_xaxis_transform(
+        self, which: Literal["tick1", "tick2", "grid"] = ...
+    ) -> mtransforms.Transform: ...
+    def get_xaxis_text1_transform(
+        self, pad: float
+    ) -> tuple[
+        mtransforms.Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_xaxis_text2_transform(
+        self, pad: float
+    ) -> tuple[
+        mtransforms.Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_transform(
+        self, which: Literal["tick1", "tick2", "grid"] = ...
+    ) -> mtransforms.Transform: ...
+    def get_yaxis_text1_transform(
+        self, pad: float
+    ) -> tuple[
+        mtransforms.Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def get_yaxis_text2_transform(
+        self, pad: float
+    ) -> tuple[
+        mtransforms.Transform,
+        Literal["center", "top", "bottom", "baseline", "center_baseline"],
+        Literal["center", "left", "right"],
+    ]: ...
+    def set_thetamax(self, thetamax: float) -> None: ...
+    def get_thetamax(self) -> float: ...
+    def set_thetamin(self, thetamin: float) -> None: ...
+    def get_thetamin(self) -> float: ...
+    @overload
+    def set_thetalim(self, minval: float, maxval: float, /) -> tuple[float, float]: ...
+    @overload
+    def set_thetalim(self, *, thetamin: float, thetamax: float) -> tuple[float, float]: ...
+    def set_theta_offset(self, offset: float) -> None: ...
+    def get_theta_offset(self) -> float: ...
+    def set_theta_zero_location(
+        self,
+        loc: Literal["N", "NW", "W", "SW", "S", "SE", "E", "NE"],
+        offset: float = ...,
+    ) -> None: ...
+    def set_theta_direction(
+        self,
+        direction: Literal[-1, 1, "clockwise", "counterclockwise", "anticlockwise"],
+    ) -> None: ...
+    def get_theta_direction(self) -> Literal[-1, 1]: ...
+    def set_rmax(self, rmax: float) -> None: ...
+    def get_rmax(self) -> float: ...
+    def set_rmin(self, rmin: float) -> None: ...
+    def get_rmin(self) -> float: ...
+    def set_rorigin(self, rorigin: float | None) -> None: ...
+    def get_rorigin(self) -> float: ...
+    def get_rsign(self) -> float: ...
+    def set_rlim(
+        self,
+        bottom: float | tuple[float, float] | None = ...,
+        top: float | None = ...,
+        *,
+        emit: bool = ...,
+        auto: bool = ...,
+        **kwargs,
+    ) -> tuple[float, float]: ...
+    def get_rlabel_position(self) -> float: ...
+    def set_rlabel_position(self, value: float) -> None: ...
+    def set_rscale(self, *args, **kwargs) -> None: ...
+    def set_rticks(self, *args, **kwargs) -> None: ...
+    def set_thetagrids(
+        self,
+        angles: ArrayLike,
+        labels: Sequence[str | Text] | None = ...,
+        fmt: str | None = ...,
+        **kwargs,
+    ) -> tuple[list[Line2D], list[Text]]: ...
+    def set_rgrids(
+        self,
+        radii: ArrayLike,
+        labels: Sequence[str | Text] | None = ...,
+        angle: float | None = ...,
+        fmt: str | None = ...,
+        **kwargs,
+    ) -> tuple[list[Line2D], list[Text]]: ...
+    def format_coord(self, theta: float, r: float) -> str: ...
+    def get_data_ratio(self) -> float: ...
+    def can_zoom(self) -> bool: ...
+    def can_pan(self) -> bool: ...
+    def start_pan(self, x: float, y: float, button: int) -> None: ...
+    def end_pan(self) -> None: ...
+    def drag_pan(self, button: Any, key: Any, x: float, y: float) -> None: ...
diff --git a/lib/matplotlib/py.typed b/lib/matplotlib/py.typed
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 86fe482ad65f..a50779cf6d26 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -1,280 +1,54 @@
 """
-This is a procedural interface to the matplotlib object-oriented
-plotting library.
+`pylab` is a historic interface and its use is strongly discouraged. The equivalent
+replacement is `matplotlib.pyplot`.  See :ref:`api_interfaces` for a full overview
+of Matplotlib interfaces.
 
-The following plotting commands are provided; the majority have
-MATLAB |reg| [*]_ analogs and similar arguments.
+`pylab` was designed to support a MATLAB-like way of working with all plotting related
+functions directly available in the global namespace. This was achieved through a
+wildcard import (``from pylab import *``).
 
-.. |reg| unicode:: 0xAE
+.. warning::
+   The use of `pylab` is discouraged for the following reasons:
 
-_Plotting commands
-  acorr     - plot the autocorrelation function
-  annotate  - annotate something in the figure
-  arrow     - add an arrow to the axes
-  axes      - Create a new axes
-  axhline   - draw a horizontal line across axes
-  axvline   - draw a vertical line across axes
-  axhspan   - draw a horizontal bar across axes
-  axvspan   - draw a vertical bar across axes
-  axis      - Set or return the current axis limits
-  autoscale - turn axis autoscaling on or off, and apply it
-  bar       - make a bar chart
-  barh      - a horizontal bar chart
-  broken_barh - a set of horizontal bars with gaps
-  box       - set the axes frame on/off state
-  boxplot   - make a box and whisker plot
-  violinplot - make a violin plot
-  cla       - clear current axes
-  clabel    - label a contour plot
-  clf       - clear a figure window
-  clim      - adjust the color limits of the current image
-  close     - close a figure window
-  colorbar  - add a colorbar to the current figure
-  cohere    - make a plot of coherence
-  contour   - make a contour plot
-  contourf  - make a filled contour plot
-  csd       - make a plot of cross spectral density
-  delaxes   - delete an axes from the current figure
-  draw      - Force a redraw of the current figure
-  errorbar  - make an errorbar graph
-  figlegend - make legend on the figure rather than the axes
-  figimage  - make a figure image
-  figtext   - add text in figure coords
-  figure   - create or change active figure
-  fill     - make filled polygons
-  findobj  - recursively find all objects matching some criteria
-  gca      - return the current axes
-  gcf      - return the current figure
-  gci      - get the current image, or None
-  getp      - get a graphics property
-  grid     - set whether gridding is on
-  hist     - make a histogram
-  hold     - set the axes hold state
-  ioff     - turn interaction mode off
-  ion      - turn interaction mode on
-  isinteractive - return True if interaction mode is on
-  imread   - load image file into array
-  imsave   - save array as an image file
-  imshow   - plot image data
-  ishold   - return the hold state of the current axes
-  legend   - make an axes legend
-  locator_params - adjust parameters used in locating axis ticks
-  loglog   - a log log plot
-  matshow  - display a matrix in a new figure preserving aspect
-  margins  - set margins used in autoscaling
-  pause    - pause for a specified interval
-  pcolor   - make a pseudocolor plot
-  pcolormesh - make a pseudocolor plot using a quadrilateral mesh
-  pie      - make a pie chart
-  plot     - make a line plot
-  plot_date - plot dates
-  plotfile  - plot column data from an ASCII tab/space/comma delimited file
-  pie      - pie charts
-  polar    - make a polar plot on a PolarAxes
-  psd      - make a plot of power spectral density
-  quiver   - make a direction field (arrows) plot
-  rc       - control the default params
-  rgrids   - customize the radial grids and labels for polar
-  savefig  - save the current figure
-  scatter  - make a scatter plot
-  setp      - set a graphics property
-  semilogx - log x axis
-  semilogy - log y axis
-  show     - show the figures
-  specgram - a spectrogram plot
-  spy      - plot sparsity pattern using markers or image
-  stem     - make a stem plot
-  subplot  - make one subplot (numrows, numcols, axesnum)
-  subplots - make a figure with a set of (numrows, numcols) subplots
-  subplots_adjust - change the params controlling the subplot positions of current figure
-  subplot_tool - launch the subplot configuration tool
-  suptitle   - add a figure title
-  table    - add a table to the plot
-  text     - add some text at location x,y to the current axes
-  thetagrids - customize the radial theta grids and labels for polar
-  tick_params - control the appearance of ticks and tick labels
-  ticklabel_format - control the format of tick labels
-  title    - add a title to the current axes
-  tricontour - make a contour plot on a triangular grid
-  tricontourf - make a filled contour plot on a triangular grid
-  tripcolor - make a pseudocolor plot on a triangular grid
-  triplot - plot a triangular grid
-  xcorr   - plot the autocorrelation function of x and y
-  xlim     - set/get the xlimits
-  ylim     - set/get the ylimits
-  xticks   - set/get the xticks
-  yticks   - set/get the yticks
-  xlabel   - add an xlabel to the current axes
-  ylabel   - add a ylabel to the current axes
-
-  autumn - set the default colormap to autumn
-  bone   - set the default colormap to bone
-  cool   - set the default colormap to cool
-  copper - set the default colormap to copper
-  flag   - set the default colormap to flag
-  gray   - set the default colormap to gray
-  hot    - set the default colormap to hot
-  hsv    - set the default colormap to hsv
-  jet    - set the default colormap to jet
-  pink   - set the default colormap to pink
-  prism  - set the default colormap to prism
-  spring - set the default colormap to spring
-  summer - set the default colormap to summer
-  winter - set the default colormap to winter
-  spectral - set the default colormap to spectral
-
-_Event handling
-
-  connect - register an event handler
-  disconnect - remove a connected event handler
-
-_Matrix commands
-
-  cumprod   - the cumulative product along a dimension
-  cumsum    - the cumulative sum along a dimension
-  detrend   - remove the mean or besdt fit line from an array
-  diag      - the k-th diagonal of matrix
-  diff      - the n-th differnce of an array
-  eig       - the eigenvalues and eigen vectors of v
-  eye       - a matrix where the k-th diagonal is ones, else zero
-  find      - return the indices where a condition is nonzero
-  fliplr    - flip the rows of a matrix up/down
-  flipud    - flip the columns of a matrix left/right
-  linspace  - a linear spaced vector of N values from min to max inclusive
-  logspace  - a log spaced vector of N values from min to max inclusive
-  meshgrid  - repeat x and y to make regular matrices
-  ones      - an array of ones
-  rand      - an array from the uniform distribution [0,1]
-  randn     - an array from the normal distribution
-  rot90     - rotate matrix k*90 degress counterclockwise
-  squeeze   - squeeze an array removing any dimensions of length 1
-  tri       - a triangular matrix
-  tril      - a lower triangular matrix
-  triu      - an upper triangular matrix
-  vander    - the Vandermonde matrix of vector x
-  svd       - singular value decomposition
-  zeros     - a matrix of zeros
-
-_Probability
-
-  normpdf   - The Gaussian probability density function
-  rand      - random numbers from the uniform distribution
-  randn     - random numbers from the normal distribution
-
-_Statistics
-
-  amax      - the maximum along dimension m
-  amin      - the minimum along dimension m
-  corrcoef  - correlation coefficient
-  cov       - covariance matrix
-  mean      - the mean along dimension m
-  median    - the median along dimension m
-  norm      - the norm of vector x
-  prod      - the product along dimension m
-  ptp       - the max-min along dimension m
-  std       - the standard deviation along dimension m
-  asum      - the sum along dimension m
-  ksdensity - the kernel density estimate
-
-_Time series analysis
-
-  bartlett  - M-point Bartlett window
-  blackman  - M-point Blackman window
-  cohere    - the coherence using average periodiogram
-  csd       - the cross spectral density using average periodiogram
-  fft       - the fast Fourier transform of vector x
-  hamming   - M-point Hamming window
-  hanning   - M-point Hanning window
-  hist      - compute the histogram of x
-  kaiser    - M length Kaiser window
-  psd       - the power spectral density using average periodiogram
-  sinc      - the sinc function of array x
-
-_Dates
-
-  date2num  - convert python datetimes to numeric representation
-  drange    - create an array of numbers for date plots
-  num2date  - convert numeric type (float days since 0001) to datetime
-
-_Other
-
-  angle     - the angle of a complex array
-  griddata  - interpolate irregularly distributed data to a regular grid
-  load      - Deprecated--please use loadtxt.
-  loadtxt   - load ASCII data into array.
-  polyfit   - fit x, y to an n-th order polynomial
-  polyval   - evaluate an n-th order polynomial
-  roots     - the roots of the polynomial coefficients in p
-  save      - Deprecated--please use savetxt.
-  savetxt   - save an array to an ASCII file.
-  trapz     - trapezoidal integration
-
-__end
-
-.. [*] MATLAB is a registered trademark of The MathWorks, Inc.
+   ``from pylab import *`` imports all the functions from `matplotlib.pyplot`, `numpy`,
+   `numpy.fft`, `numpy.linalg`, and `numpy.random`, and some additional functions into
+   the global namespace.
 
+   Such a pattern is considered bad practice in modern python, as it clutters the global
+   namespace. Even more severely, in the case of `pylab`, this will overwrite some
+   builtin functions (e.g. the builtin `sum` will be replaced by `numpy.sum`), which
+   can lead to unexpected behavior.
 
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import sys, warnings
 
-from matplotlib.cbook import flatten, is_string_like, exception_to_str, \
-     silent_list, iterable, dedent
+from matplotlib.cbook import flatten, silent_list
 
 import matplotlib as mpl
-# make mpl.finance module available for backwards compatability, in case folks
-# using pylab interface depended on not having to import it
-import matplotlib.finance
 
-from matplotlib.dates import date2num, num2date,\
-        datestr2num, strpdate2num, drange,\
-        epoch2num, num2epoch, mx2num,\
-        DateFormatter, IndexDateFormatter, DateLocator,\
-        RRuleLocator, YearLocator, MonthLocator, WeekdayLocator,\
-        DayLocator, HourLocator, MinuteLocator, SecondLocator,\
-        rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY, MONTHLY,\
-        WEEKLY, DAILY, HOURLY, MINUTELY, SECONDLY, relativedelta
+from matplotlib.dates import (
+    date2num, num2date, datestr2num, drange, DateFormatter, DateLocator,
+    RRuleLocator, YearLocator, MonthLocator, WeekdayLocator, DayLocator,
+    HourLocator, MinuteLocator, SecondLocator, rrule, MO, TU, WE, TH, FR,
+    SA, SU, YEARLY, MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY, SECONDLY,
+    relativedelta)
 
-import matplotlib.dates  # Do we need this at all?
-
-# bring all the  symbols in so folks can import them from
+# bring all the symbols in so folks can import them from
 # pylab in one fell swoop
 
-
 ## We are still importing too many things from mlab; more cleanup is needed.
 
-from matplotlib.mlab import griddata, stineman_interp, slopes, \
-    inside_poly, poly_below, poly_between, \
-    is_closed_polygon, path_length, distances_along_curve, vector_lengths
-
-from matplotlib.mlab import window_hanning, window_none,  detrend, demean, \
-     detrend_mean, detrend_none, detrend_linear, entropy, normpdf, \
-     find, longest_contiguous_ones, longest_ones, prepca, \
-     prctile, prctile_rank, \
-     center_matrix, rk4, bivariate_normal, get_xyz_where, \
-     get_sparse_matrix, dist, \
-     dist_point_to_segment, segments_intersect, fftsurr, movavg, \
-     exp_safe, \
-     amap, rms_flat, l1norm, l2norm, norm_flat, frange,  identity, \
-     base_repr, binary_repr, log2, ispower2, \
-     rec_append_fields, rec_drop_fields, rec_join, csv2rec, rec2csv, isvector
+from matplotlib.mlab import (
+    detrend, detrend_linear, detrend_mean, detrend_none, window_hanning,
+    window_none)
 
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
+from matplotlib import cbook, mlab, pyplot as plt
+from matplotlib.pyplot import *
 
 from numpy import *
 from numpy.fft import *
 from numpy.random import *
 from numpy.linalg import *
 
-from matplotlib.pyplot import *
-
-# provide the recommended module abbrevs in the pylab namespace
-import matplotlib.pyplot as plt
 import numpy as np
 import numpy.ma as ma
 
@@ -283,4 +57,11 @@
 
 # This is needed, or bytes will be numpy.random.bytes from
 # "from numpy.random import *" above
-bytes = __builtins__['bytes']
+bytes = __import__("builtins").bytes
+# We also don't want the numpy version of these functions
+abs = __import__("builtins").abs
+bool = __import__("builtins").bool
+max = __import__("builtins").max
+min = __import__("builtins").min
+pow = __import__("builtins").pow
+round = __import__("builtins").round
diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
index 5470e0f54a49..cf5c9b4b739f 100644
--- a/lib/matplotlib/pyplot.py
+++ b/lib/matplotlib/pyplot.py
@@ -1,273 +1,817 @@
 # Note: The first part of this file can be modified in place, but the latter
 # part is autogenerated by the boilerplate.py script.
+
 """
-Provides a MATLAB-like plotting framework.
+`matplotlib.pyplot` is a state-based interface to matplotlib. It provides
+an implicit,  MATLAB-like, way of plotting.  It also opens figures on your
+screen, and acts as the figure GUI manager.
 
-:mod:`~matplotlib.pylab` combines pyplot with numpy into a single namespace.
-This is convenient for interactive work, but for programming it
-is recommended that the namespaces be kept separate, e.g.::
+pyplot is mainly intended for interactive plots and simple cases of
+programmatic plot generation::
 
     import numpy as np
     import matplotlib.pyplot as plt
 
-    x = np.arange(0, 5, 0.1);
+    x = np.arange(0, 5, 0.1)
     y = np.sin(x)
     plt.plot(x, y)
+    plt.show()
+
+The explicit object-oriented API is recommended for complex plots, though
+pyplot is still usually used to create the figure and often the Axes in the
+figure. See `.pyplot.figure`, `.pyplot.subplots`, and
+`.pyplot.subplot_mosaic` to create figures, and
+:doc:`Axes API </api/axes_api>` for the plotting methods on an Axes::
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    x = np.arange(0, 5, 0.1)
+    y = np.sin(x)
+    fig, ax = plt.subplots()
+    ax.plot(x, y)
+    plt.show()
+
 
+See :ref:`api_interfaces` for an explanation of the tradeoffs between the
+implicit and explicit interfaces.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+# fmt: off
 
+from __future__ import annotations
+
+from contextlib import AbstractContextManager, ExitStack
+from enum import Enum
+import functools
+import importlib
+import inspect
+import logging
 import sys
-import warnings
+import threading
+import time
+from typing import TYPE_CHECKING, cast, overload
 
+from cycler import cycler  # noqa: F401
 import matplotlib
 import matplotlib.colorbar
-from matplotlib import style
-from matplotlib import _pylab_helpers, interactive
-from matplotlib.cbook import dedent, silent_list, is_string_like, is_numlike
-from matplotlib.cbook import _string_to_bool
-from matplotlib import docstring
-from matplotlib.backend_bases import FigureCanvasBase
-from matplotlib.figure import Figure, figaspect
-from matplotlib.gridspec import GridSpec
-from matplotlib.image import imread as _imread
-from matplotlib.image import imsave as _imsave
-from matplotlib import rcParams, rcParamsDefault, get_backend
-from matplotlib import rc_context
-from matplotlib.rcsetup import interactive_bk as _interactive_bk
-from matplotlib.artist import getp, get, Artist
-from matplotlib.artist import setp as _setp
-from matplotlib.axes import Axes, Subplot
+import matplotlib.image
+from matplotlib import _api
+# Re-exported (import x as x) for typing.
+from matplotlib import get_backend as get_backend, rcParams as rcParams
+from matplotlib import cm as cm  # noqa: F401
+from matplotlib import style as style  # noqa: F401
+from matplotlib import _pylab_helpers
+from matplotlib import interactive  # noqa: F401
+from matplotlib import cbook
+from matplotlib import _docstring
+from matplotlib.backend_bases import (
+    FigureCanvasBase, FigureManagerBase, MouseButton)
+from matplotlib.figure import Figure, FigureBase, figaspect
+from matplotlib.gridspec import GridSpec, SubplotSpec
+from matplotlib import rcsetup, rcParamsDefault, rcParamsOrig
+from matplotlib.artist import Artist
+from matplotlib.axes import Axes
+from matplotlib.axes import Subplot  # noqa: F401
+from matplotlib.backends import BackendFilter, backend_registry
 from matplotlib.projections import PolarAxes
-from matplotlib import mlab  # for csv2rec, detrend_none, window_hanning
-from matplotlib.scale import get_scale_docs, get_scale_names
+from matplotlib.colorizer import _ColorizerInterface, ColorizingArtist, Colorizer
+from matplotlib import mlab  # for detrend_none, window_hanning
+from matplotlib.scale import get_scale_names  # noqa: F401
 
-from matplotlib import cm
-from matplotlib.cm import get_cmap, register_cmap
+from matplotlib.cm import _colormaps
+from matplotlib.colors import _color_sequences, Colormap
 
 import numpy as np
 
+if TYPE_CHECKING:
+    from collections.abc import Callable, Hashable, Iterable, Sequence
+    import pathlib
+    import os
+    from typing import Any, BinaryIO, Literal, TypeVar
+    from typing_extensions import ParamSpec
+
+    import PIL.Image
+    from numpy.typing import ArrayLike
+    import pandas as pd
+
+    import matplotlib.axes
+    import matplotlib.artist
+    import matplotlib.backend_bases
+    from matplotlib.axis import Tick
+    from matplotlib.axes._base import _AxesBase
+    from matplotlib.backend_bases import Event
+    from matplotlib.cm import ScalarMappable
+    from matplotlib.contour import ContourSet, QuadContourSet
+    from matplotlib.collections import (
+        Collection,
+        FillBetweenPolyCollection,
+        LineCollection,
+        PolyCollection,
+        PathCollection,
+        EventCollection,
+        QuadMesh,
+    )
+    from matplotlib.colorbar import Colorbar
+    from matplotlib.container import (
+        BarContainer,
+        ErrorbarContainer,
+        StemContainer,
+    )
+    from matplotlib.figure import SubFigure
+    from matplotlib.legend import Legend
+    from matplotlib.mlab import GaussianKDE
+    from matplotlib.image import AxesImage, FigureImage
+    from matplotlib.patches import FancyArrow, StepPatch, Wedge
+    from matplotlib.quiver import Barbs, Quiver, QuiverKey
+    from matplotlib.scale import ScaleBase
+    from matplotlib.typing import (
+        ColorType,
+        CoordsType,
+        HashableList,
+        LineStyleType,
+        MarkerType,
+    )
+    from matplotlib.widgets import SubplotTool
+
+    _P = ParamSpec('_P')
+    _R = TypeVar('_R')
+    _T = TypeVar('_T')
+
+
 # We may not need the following imports here:
 from matplotlib.colors import Normalize
-from matplotlib.colors import normalize  # for backwards compat.
-from matplotlib.lines import Line2D
+from matplotlib.lines import Line2D, AxLine
 from matplotlib.text import Text, Annotation
-from matplotlib.patches import Polygon, Rectangle, Circle, Arrow
-from matplotlib.widgets import SubplotTool, Button, Slider, Widget
-
-from .ticker import TickHelper, Formatter, FixedFormatter, NullFormatter,\
-           FuncFormatter, FormatStrFormatter, ScalarFormatter,\
-           LogFormatter, LogFormatterExponent, LogFormatterMathtext,\
-           Locator, IndexLocator, FixedLocator, NullLocator,\
-           LinearLocator, LogLocator, AutoLocator, MultipleLocator,\
-           MaxNLocator
-
-
-## Backend detection ##
-def _backend_selection():
-    """ If rcParams['backend_fallback'] is true, check to see if the
-        current backend is compatible with the current running event
-        loop, and if not switches to a compatible one.
-    """
-    backend = rcParams['backend']
-    if not rcParams['backend_fallback'] or \
-                     backend not in _interactive_bk:
+from matplotlib.patches import Arrow, Circle, Rectangle  # noqa: F401
+from matplotlib.patches import Polygon
+from matplotlib.widgets import Button, Slider, Widget  # noqa: F401
+
+from .ticker import (  # noqa: F401
+    TickHelper, Formatter, FixedFormatter, NullFormatter, FuncFormatter,
+    FormatStrFormatter, ScalarFormatter, LogFormatter, LogFormatterExponent,
+    LogFormatterMathtext, Locator, IndexLocator, FixedLocator, NullLocator,
+    LinearLocator, LogLocator, AutoLocator, MultipleLocator, MaxNLocator)
+
+_log = logging.getLogger(__name__)
+
+
+# Explicit rename instead of import-as for typing's sake.
+colormaps = _colormaps
+color_sequences = _color_sequences
+
+
+@overload
+def _copy_docstring_and_deprecators(
+    method: Any,
+    func: Literal[None] = None
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+
+
+@overload
+def _copy_docstring_and_deprecators(
+    method: Any, func: Callable[_P, _R]) -> Callable[_P, _R]: ...
+
+
+def _copy_docstring_and_deprecators(
+    method: Any,
+    func: Callable[_P, _R] | None = None
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]] | Callable[_P, _R]:
+    if func is None:
+        return cast('Callable[[Callable[_P, _R]], Callable[_P, _R]]',
+                    functools.partial(_copy_docstring_and_deprecators, method))
+    decorators: list[Callable[[Callable[_P, _R]], Callable[_P, _R]]] = [
+        _docstring.copy(method)
+    ]
+    # Check whether the definition of *method* includes @_api.rename_parameter
+    # or @_api.make_keyword_only decorators; if so, propagate them to the
+    # pyplot wrapper as well.
+    while hasattr(method, "__wrapped__"):
+        potential_decorator = _api.deprecation.DECORATORS.get(method)
+        if potential_decorator:
+            decorators.append(potential_decorator)
+        method = method.__wrapped__
+    for decorator in decorators[::-1]:
+        func = decorator(func)
+    _add_pyplot_note(func, method)
+    return func
+
+
+_NO_PYPLOT_NOTE = [
+    'FigureBase._gci',  # wrapped_func is private
+    '_AxesBase._sci',  # wrapped_func is private
+    'Artist.findobj',  # not a standard pyplot wrapper because it does not operate
+                       # on the current Figure / Axes. Explanation of relation would
+                       # be more complex and is not too important.
+]
+
+
+def _add_pyplot_note(func, wrapped_func):
+    """
+    Add a note to the docstring of *func* that it is a pyplot wrapper.
+
+    The note is added to the "Notes" section of the docstring. If that does
+    not exist, a "Notes" section is created. In numpydoc, the "Notes"
+    section is the third last possible section, only potentially followed by
+    "References" and "Examples".
+    """
+    if not func.__doc__:
+        return  # nothing to do
+
+    qualname = wrapped_func.__qualname__
+    if qualname in _NO_PYPLOT_NOTE:
         return
-    is_agg_backend = rcParams['backend'].endswith('Agg')
-    if 'wx' in sys.modules and not backend in ('WX', 'WXAgg'):
-        import wx
-        if wx.App.IsMainLoopRunning():
-            rcParams['backend'] = 'wx' + 'Agg' * is_agg_backend
-    elif 'PyQt4.QtCore' in sys.modules and not backend == 'Qt4Agg':
-        import PyQt4.QtGui
-        if not PyQt4.QtGui.qApp.startingUp():
-            # The mainloop is running.
-            rcParams['backend'] = 'qt4Agg'
-    elif 'PyQt5.QtCore' in sys.modules and not backend == 'Qt5Agg':
-        import PyQt5.QtWidgets
-        if not PyQt5.QtWidgets.qApp.startingUp():
-            # The mainloop is running.
-            rcParams['backend'] = 'qt5Agg'
-    elif ('gtk' in sys.modules
-            and backend not in ('GTK', 'GTKAgg', 'GTKCairo')
-            and 'gi.repository.GObject' not in sys.modules):
-        import gobject
-        if gobject.MainLoop().is_running():
-            rcParams['backend'] = 'gtk' + 'Agg' * is_agg_backend
-    elif 'Tkinter' in sys.modules and not backend == 'TkAgg':
-        # import Tkinter
-        pass  # what if anything do we need to do for tkinter?
-
-_backend_selection()
+
+    wrapped_func_is_method = True
+    if "." not in qualname:
+        # method qualnames are prefixed by the class and ".", e.g. "Axes.plot"
+        wrapped_func_is_method = False
+        link = f"{wrapped_func.__module__}.{qualname}"
+    elif qualname.startswith("Axes."):  # e.g. "Axes.plot"
+        link = ".axes." + qualname
+    elif qualname.startswith("_AxesBase."):  # e.g. "_AxesBase.set_xlabel"
+        link = ".axes.Axes" + qualname[9:]
+    elif qualname.startswith("Figure."):  # e.g. "Figure.figimage"
+        link = "." + qualname
+    elif qualname.startswith("FigureBase."):  # e.g. "FigureBase.gca"
+        link = ".Figure" + qualname[10:]
+    elif qualname.startswith("FigureCanvasBase."):  # "FigureBaseCanvas.mpl_connect"
+        link = "." + qualname
+    else:
+        raise RuntimeError(f"Wrapped method from unexpected class: {qualname}")
+
+    if wrapped_func_is_method:
+        message = f"This is the :ref:`pyplot wrapper <pyplot_interface>` for `{link}`."
+    else:
+        message = f"This is equivalent to `{link}`."
+
+    # Find the correct insert position:
+    # - either we already have a "Notes" section into which we can insert
+    # - or we create one before the next present section. Note that in numpydoc, the
+    #   "Notes" section is the third last possible section, only potentially followed
+    #   by "References" and "Examples".
+    # - or we append a new "Notes" section at the end.
+    doc = inspect.cleandoc(func.__doc__)
+    if "\nNotes\n-----" in doc:
+        before, after = doc.split("\nNotes\n-----", 1)
+    elif (index := doc.find("\nReferences\n----------")) != -1:
+        before, after = doc[:index], doc[index:]
+    elif (index := doc.find("\nExamples\n--------")) != -1:
+        before, after = doc[:index], doc[index:]
+    else:
+        # No "Notes", "References", or "Examples" --> append to the end.
+        before = doc + "\n"
+        after = ""
+
+    func.__doc__ = f"{before}\nNotes\n-----\n\n.. note::\n\n    {message}\n{after}"
+
 
 ## Global ##
 
-from matplotlib.backends import pylab_setup
-_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()
 
+# The state controlled by {,un}install_repl_displayhook().
+_ReplDisplayHook = Enum("_ReplDisplayHook", ["NONE", "PLAIN", "IPYTHON"])
+_REPL_DISPLAYHOOK = _ReplDisplayHook.NONE
+
+
+def _draw_all_if_interactive() -> None:
+    if matplotlib.is_interactive():
+        draw_all()
+
+
+def install_repl_displayhook() -> None:
+    """
+    Connect to the display hook of the current shell.
+
+    The display hook gets called when the read-evaluate-print-loop (REPL) of
+    the shell has finished the execution of a command. We use this callback
+    to be able to automatically update a figure in interactive mode.
+
+    This works both with IPython and with vanilla python shells.
+    """
+    global _REPL_DISPLAYHOOK
+
+    if _REPL_DISPLAYHOOK is _ReplDisplayHook.IPYTHON:
+        return
+
+    # See if we have IPython hooks around, if so use them.
+    # Use ``sys.modules.get(name)`` rather than ``name in sys.modules`` as
+    # entries can also have been explicitly set to None.
+    mod_ipython = sys.modules.get("IPython")
+    if not mod_ipython:
+        _REPL_DISPLAYHOOK = _ReplDisplayHook.PLAIN
+        return
+    ip = mod_ipython.get_ipython()
+    if not ip:
+        _REPL_DISPLAYHOOK = _ReplDisplayHook.PLAIN
+        return
+
+    ip.events.register("post_execute", _draw_all_if_interactive)
+    _REPL_DISPLAYHOOK = _ReplDisplayHook.IPYTHON
+
+    if mod_ipython.version_info[:2] < (8, 24):
+        # Use of backend2gui is not needed for IPython >= 8.24 as that functionality
+        # has been moved to Matplotlib.
+        # This code can be removed when Python 3.12, the latest version supported by
+        # IPython < 8.24, reaches end-of-life in late 2028.
+        from IPython.core.pylabtools import backend2gui
+        ipython_gui_name = backend2gui.get(get_backend())
+    else:
+        _, ipython_gui_name = backend_registry.resolve_backend(get_backend())
+    # trigger IPython's eventloop integration, if available
+    if ipython_gui_name:
+        ip.enable_gui(ipython_gui_name)
+
+
+def uninstall_repl_displayhook() -> None:
+    """Disconnect from the display hook of the current shell."""
+    global _REPL_DISPLAYHOOK
+    if _REPL_DISPLAYHOOK is _ReplDisplayHook.IPYTHON:
+        from IPython import get_ipython
+        ip = get_ipython()
+        ip.events.unregister("post_execute", _draw_all_if_interactive)
+    _REPL_DISPLAYHOOK = _ReplDisplayHook.NONE
 
-@docstring.copy_dedent(Artist.findobj)
-def findobj(o=None, match=None, include_self=True):
+
+draw_all = _pylab_helpers.Gcf.draw_all
+
+
+# Ensure this appears in the pyplot docs.
+@_copy_docstring_and_deprecators(matplotlib.set_loglevel)
+def set_loglevel(*args, **kwargs) -> None:
+    return matplotlib.set_loglevel(*args, **kwargs)
+
+
+@_copy_docstring_and_deprecators(Artist.findobj)
+def findobj(
+    o: Artist | None = None,
+    match: Callable[[Artist], bool] | type[Artist] | None = None,
+    include_self: bool = True
+) -> list[Artist]:
     if o is None:
         o = gcf()
     return o.findobj(match, include_self=include_self)
 
 
-def switch_backend(newbackend):
+_backend_mod: type[matplotlib.backend_bases._Backend] | None = None
+
+
+def _get_backend_mod() -> type[matplotlib.backend_bases._Backend]:
     """
-    Switch the default backend.  This feature is **experimental**, and
-    is only expected to work switching to an image backend.  e.g., if
-    you have a bunch of PostScript scripts that you want to run from
-    an interactive ipython session, you may want to switch to the PS
-    backend before running them to avoid having a bunch of GUI windows
-    popup.  If you try to interactively switch from one GUI backend to
-    another, you will explode.
+    Ensure that a backend is selected and return it.
 
-    Calling this command will close all open windows.
+    This is currently private, but may be made public in the future.
     """
-    close('all')
-    global _backend_mod, new_figure_manager, draw_if_interactive, _show
-    matplotlib.use(newbackend, warn=False, force=True)
-    from matplotlib.backends import pylab_setup
-    _backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()
+    if _backend_mod is None:
+        # Use rcParams._get("backend") to avoid going through the fallback
+        # logic (which will (re)import pyplot and then call switch_backend if
+        # we need to resolve the auto sentinel)
+        switch_backend(rcParams._get("backend"))
+    return cast(type[matplotlib.backend_bases._Backend], _backend_mod)
 
 
-def show(*args, **kw):
+def switch_backend(newbackend: str) -> None:
     """
-    Display a figure.
-    When running in ipython with its pylab mode, display all
-    figures and return to the ipython prompt.
+    Set the pyplot backend.
+
+    Switching to an interactive backend is possible only if no event loop for
+    another interactive backend has started.  Switching to and from
+    non-interactive backends is always possible.
 
-    In non-interactive mode, display all figures and block until
-    the figures have been closed; in interactive mode it has no
-    effect unless figures were created prior to a change from
-    non-interactive to interactive mode (not recommended).  In
-    that case it displays the figures but does not block.
+    If the new backend is different than the current backend then all open
+    Figures will be closed via ``plt.close('all')``.
+
+    Parameters
+    ----------
+    newbackend : str
+        The case-insensitive name of the backend to use.
 
-    A single experimental keyword argument, *block*, may be
-    set to True or False to override the blocking behavior
-    described above.
     """
-    global _show
-    return _show(*args, **kw)
+    global _backend_mod
+    # make sure the init is pulled up so we can assign to it later
+    import matplotlib.backends
+
+    if newbackend is rcsetup._auto_backend_sentinel:
+        current_framework = cbook._get_running_interactive_framework()
+
+        if (current_framework and
+                (backend := backend_registry.backend_for_gui_framework(
+                    current_framework))):
+            candidates = [backend]
+        else:
+            candidates = []
+        candidates += [
+            "macosx", "qtagg", "gtk4agg", "gtk3agg", "tkagg", "wxagg"]
+
+        # Don't try to fallback on the cairo-based backends as they each have
+        # an additional dependency (pycairo) over the agg-based backend, and
+        # are of worse quality.
+        for candidate in candidates:
+            try:
+                switch_backend(candidate)
+            except ImportError:
+                continue
+            else:
+                rcParamsOrig['backend'] = candidate
+                return
+        else:
+            # Switching to Agg should always succeed; if it doesn't, let the
+            # exception propagate out.
+            switch_backend("agg")
+            rcParamsOrig["backend"] = "agg"
+            return
+    old_backend = rcParams._get('backend')  # get without triggering backend resolution
+
+    module = backend_registry.load_backend_module(newbackend)
+    canvas_class = module.FigureCanvas
+
+    required_framework = canvas_class.required_interactive_framework
+    if required_framework is not None:
+        current_framework = cbook._get_running_interactive_framework()
+        if (current_framework and required_framework
+                and current_framework != required_framework):
+            raise ImportError(
+                "Cannot load backend {!r} which requires the {!r} interactive "
+                "framework, as {!r} is currently running".format(
+                    newbackend, required_framework, current_framework))
+
+    # Load the new_figure_manager() and show() functions from the backend.
+
+    # Classically, backends can directly export these functions.  This should
+    # keep working for backcompat.
+    new_figure_manager = getattr(module, "new_figure_manager", None)
+    show = getattr(module, "show", None)
+
+    # In that classical approach, backends are implemented as modules, but
+    # "inherit" default method implementations from backend_bases._Backend.
+    # This is achieved by creating a "class" that inherits from
+    # backend_bases._Backend and whose body is filled with the module globals.
+    class backend_mod(matplotlib.backend_bases._Backend):
+        locals().update(vars(module))
+
+    # However, the newer approach for defining new_figure_manager and
+    # show is to derive them from canvas methods.  In that case, also
+    # update backend_mod accordingly; also, per-backend customization of
+    # draw_if_interactive is disabled.
+    if new_figure_manager is None:
+
+        def new_figure_manager_given_figure(num, figure):
+            return canvas_class.new_manager(figure, num)
+
+        def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
+            fig = FigureClass(*args, **kwargs)
+            return new_figure_manager_given_figure(num, fig)
+
+        def draw_if_interactive() -> None:
+            if matplotlib.is_interactive():
+                manager = _pylab_helpers.Gcf.get_active()
+                if manager:
+                    manager.canvas.draw_idle()
+
+        backend_mod.new_figure_manager_given_figure = (  # type: ignore[method-assign]
+            new_figure_manager_given_figure)
+        backend_mod.new_figure_manager = (  # type: ignore[method-assign]
+            new_figure_manager)
+        backend_mod.draw_if_interactive = (  # type: ignore[method-assign]
+            draw_if_interactive)
+
+    # If the manager explicitly overrides pyplot_show, use it even if a global
+    # show is already present, as the latter may be here for backcompat.
+    manager_class = getattr(canvas_class, "manager_class", None)
+    # We can't compare directly manager_class.pyplot_show and FMB.pyplot_show because
+    # pyplot_show is a classmethod so the above constructs are bound classmethods, and
+    # thus always different (being bound to different classes).  We also have to use
+    # getattr_static instead of vars as manager_class could have no __dict__.
+    manager_pyplot_show = inspect.getattr_static(manager_class, "pyplot_show", None)
+    base_pyplot_show = inspect.getattr_static(FigureManagerBase, "pyplot_show", None)
+    if (show is None
+            or (manager_pyplot_show is not None
+                and manager_pyplot_show != base_pyplot_show)):
+        if not manager_pyplot_show:
+            raise ValueError(
+                f"Backend {newbackend} defines neither FigureCanvas.manager_class nor "
+                f"a toplevel show function")
+        _pyplot_show = cast('Any', manager_class).pyplot_show
+        backend_mod.show = _pyplot_show  # type: ignore[method-assign]
+
+    _log.debug("Loaded backend %s version %s.",
+               newbackend, backend_mod.backend_version)
+
+    if newbackend in ("ipympl", "widget"):
+        # ipympl < 0.9.4 expects rcParams["backend"] to be the fully-qualified backend
+        # name "module://ipympl.backend_nbagg" not short names "ipympl" or "widget".
+        import importlib.metadata as im
+        from matplotlib import _parse_to_version_info  # type: ignore[attr-defined]
+        try:
+            module_version = im.version("ipympl")
+            if _parse_to_version_info(module_version) < (0, 9, 4):
+                newbackend = "module://ipympl.backend_nbagg"
+        except im.PackageNotFoundError:
+            pass
+
+    rcParams['backend'] = rcParamsDefault['backend'] = newbackend
+    _backend_mod = backend_mod
+    for func_name in ["new_figure_manager", "draw_if_interactive", "show"]:
+        globals()[func_name].__signature__ = inspect.signature(
+            getattr(backend_mod, func_name))
+
+    # Need to keep a global reference to the backend for compatibility reasons.
+    # See https://github.com/matplotlib/matplotlib/issues/6092
+    matplotlib.backends.backend = newbackend  # type: ignore[attr-defined]
+
+    # Make sure the repl display hook is installed in case we become interactive.
+    try:
+        install_repl_displayhook()
+    except NotImplementedError as err:
+        _log.warning("Fallback to a different backend")
+        raise ImportError from err
+
+
+def _warn_if_gui_out_of_main_thread() -> None:
+    warn = False
+    canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
+    if canvas_class.required_interactive_framework:
+        if hasattr(threading, 'get_native_id'):
+            # This compares native thread ids because even if Python-level
+            # Thread objects match, the underlying OS thread (which is what
+            # really matters) may be different on Python implementations with
+            # green threads.
+            if threading.get_native_id() != threading.main_thread().native_id:
+                warn = True
+        else:
+            # Fall back to Python-level Thread if native IDs are unavailable,
+            # mainly for PyPy.
+            if threading.current_thread() is not threading.main_thread():
+                warn = True
+    if warn:
+        _api.warn_external(
+            "Starting a Matplotlib GUI outside of the main thread will likely "
+            "fail.")
+
 
+# This function's signature is rewritten upon backend-load by switch_backend.
+def new_figure_manager(*args, **kwargs):
+    """Create a new figure manager instance."""
+    _warn_if_gui_out_of_main_thread()
+    return _get_backend_mod().new_figure_manager(*args, **kwargs)
 
-def isinteractive():
+
+# This function's signature is rewritten upon backend-load by switch_backend.
+def draw_if_interactive(*args, **kwargs):
     """
-    Return status of interactive mode.
+    Redraw the current figure if in interactive mode.
+
+    .. warning::
+
+        End users will typically not have to call this function because the
+        the interactive mode takes care of this.
     """
-    return matplotlib.is_interactive()
+    return _get_backend_mod().draw_if_interactive(*args, **kwargs)
 
 
-def ioff():
-    'Turn interactive mode off.'
-    matplotlib.interactive(False)
+# This function's signature is rewritten upon backend-load by switch_backend.
+def show(*args, **kwargs) -> None:
+    """
+    Display all open figures.
+
+    Parameters
+    ----------
+    block : bool, optional
+        Whether to wait for all figures to be closed before returning.
 
+        If `True` block and run the GUI main loop until all figure windows
+        are closed.
 
-def ion():
-    'Turn interactive mode on.'
-    matplotlib.interactive(True)
+        If `False` ensure that all figure windows are displayed and return
+        immediately.  In this case, you are responsible for ensuring
+        that the event loop is running to have responsive figures.
+
+        Defaults to True in non-interactive mode and to False in interactive
+        mode (see `.pyplot.isinteractive`).
+
+    See Also
+    --------
+    ion : Enable interactive mode, which shows / updates the figure after
+          every plotting command, so that calling ``show()`` is not necessary.
+    ioff : Disable interactive mode.
+    savefig : Save the figure to an image file instead of showing it on screen.
+
+    Notes
+    -----
+    **Saving figures to file and showing a window at the same time**
+
+    If you want an image file as well as a user interface window, use
+    `.pyplot.savefig` before `.pyplot.show`. At the end of (a blocking)
+    ``show()`` the figure is closed and thus unregistered from pyplot. Calling
+    `.pyplot.savefig` afterwards would save a new and thus empty figure. This
+    limitation of command order does not apply if the show is non-blocking or
+    if you keep a reference to the figure and use `.Figure.savefig`.
+
+    **Auto-show in jupyter notebooks**
+
+    The jupyter backends (activated via ``%matplotlib inline``,
+    ``%matplotlib notebook``, or ``%matplotlib widget``), call ``show()`` at
+    the end of every cell by default. Thus, you usually don't have to call it
+    explicitly there.
+    """
+    _warn_if_gui_out_of_main_thread()
+    return _get_backend_mod().show(*args, **kwargs)
 
 
-def pause(interval):
+def isinteractive() -> bool:
     """
-    Pause for *interval* seconds.
+    Return whether plots are updated after every plotting command.
+
+    The interactive mode is mainly useful if you build plots from the command
+    line and want to see the effect of each command while you are building the
+    figure.
 
-    If there is an active figure it will be updated and displayed,
-    and the GUI event loop will run during the pause.
+    In interactive mode:
 
-    If there is no active figure, or if a non-interactive backend
-    is in use, this executes time.sleep(interval).
+    - newly created figures will be shown immediately;
+    - figures will automatically redraw on change;
+    - `.pyplot.show` will not block by default.
 
-    This can be used for crude animation. For more complex
-    animation, see :mod:`matplotlib.animation`.
+    In non-interactive mode:
 
-    This function is experimental; its behavior may be changed
-    or extended in a future release.
+    - newly created figures and changes to figures will not be reflected until
+      explicitly asked to be;
+    - `.pyplot.show` will block by default.
 
+    See Also
+    --------
+    ion : Enable interactive mode.
+    ioff : Disable interactive mode.
+    show : Show all figures (and maybe block).
+    pause : Show all figures, and block for a time.
     """
-    backend = rcParams['backend']
-    if backend in _interactive_bk:
-        figManager = _pylab_helpers.Gcf.get_active()
-        if figManager is not None:
-            canvas = figManager.canvas
-            canvas.draw()
-            show(block=False)
-            canvas.start_event_loop(interval)
-            return
+    return matplotlib.is_interactive()
 
-    # No on-screen figure is active, so sleep() is all we need.
-    import time
-    time.sleep(interval)
 
+# Note: The return type of ioff being AbstractContextManager
+# instead of ExitStack is deliberate.
+# See https://github.com/matplotlib/matplotlib/issues/27659
+# and https://github.com/matplotlib/matplotlib/pull/27667 for more info.
+def ioff() -> AbstractContextManager:
+    """
+    Disable interactive mode.
 
-@docstring.copy_dedent(matplotlib.rc)
-def rc(*args, **kwargs):
-    matplotlib.rc(*args, **kwargs)
+    See `.pyplot.isinteractive` for more details.
 
+    See Also
+    --------
+    ion : Enable interactive mode.
+    isinteractive : Whether interactive mode is enabled.
+    show : Show all figures (and maybe block).
+    pause : Show all figures, and block for a time.
 
-@docstring.copy_dedent(matplotlib.rc_context)
-def rc_context(rc=None, fname=None):
-    return matplotlib.rc_context(rc, fname)
+    Notes
+    -----
+    For a temporary change, this can be used as a context manager::
+
+        # if interactive mode is on
+        # then figures will be shown on creation
+        plt.ion()
+        # This figure will be shown immediately
+        fig = plt.figure()
+
+        with plt.ioff():
+            # interactive mode will be off
+            # figures will not automatically be shown
+            fig2 = plt.figure()
+            # ...
 
+    To enable optional usage as a context manager, this function returns a
+    context manager object, which is not intended to be stored or
+    accessed by the user.
+    """
+    stack = ExitStack()
+    stack.callback(ion if isinteractive() else ioff)
+    matplotlib.interactive(False)
+    uninstall_repl_displayhook()
+    return stack
 
-@docstring.copy_dedent(matplotlib.rcdefaults)
-def rcdefaults():
-    matplotlib.rcdefaults()
-    draw_if_interactive()
-
-
-# The current "image" (ScalarMappable) is retrieved or set
-# only via the pyplot interface using the following two
-# functions:
-def gci():
-    """
-    Get the current colorable artist.  Specifically, returns the
-    current :class:`~matplotlib.cm.ScalarMappable` instance (image or
-    patch collection), or *None* if no images or patch collections
-    have been defined.  The commands :func:`~matplotlib.pyplot.imshow`
-    and :func:`~matplotlib.pyplot.figimage` create
-    :class:`~matplotlib.image.Image` instances, and the commands
-    :func:`~matplotlib.pyplot.pcolor` and
-    :func:`~matplotlib.pyplot.scatter` create
-    :class:`~matplotlib.collections.Collection` instances.  The
-    current image is an attribute of the current axes, or the nearest
-    earlier axes in the current figure that contains an image.
+
+# Note: The return type of ion being AbstractContextManager
+# instead of ExitStack is deliberate.
+# See https://github.com/matplotlib/matplotlib/issues/27659
+# and https://github.com/matplotlib/matplotlib/pull/27667 for more info.
+def ion() -> AbstractContextManager:
     """
-    return gcf()._gci()
+    Enable interactive mode.
+
+    See `.pyplot.isinteractive` for more details.
+
+    See Also
+    --------
+    ioff : Disable interactive mode.
+    isinteractive : Whether interactive mode is enabled.
+    show : Show all figures (and maybe block).
+    pause : Show all figures, and block for a time.
 
+    Notes
+    -----
+    For a temporary change, this can be used as a context manager::
+
+        # if interactive mode is off
+        # then figures will not be shown on creation
+        plt.ioff()
+        # This figure will not be shown immediately
+        fig = plt.figure()
+
+        with plt.ion():
+            # interactive mode will be on
+            # figures will automatically be shown
+            fig2 = plt.figure()
+            # ...
 
-def sci(im):
+    To enable optional usage as a context manager, this function returns a
+    context manager object, which is not intended to be stored or
+    accessed by the user.
     """
-    Set the current image.  This image will be the target of colormap
-    commands like :func:`~matplotlib.pyplot.jet`,
-    :func:`~matplotlib.pyplot.hot` or
-    :func:`~matplotlib.pyplot.clim`).  The current image is an
-    attribute of the current axes.
+    stack = ExitStack()
+    stack.callback(ion if isinteractive() else ioff)
+    matplotlib.interactive(True)
+    install_repl_displayhook()
+    return stack
+
+
+def pause(interval: float) -> None:
     """
-    gca()._sci(im)
+    Run the GUI event loop for *interval* seconds.
 
+    If there is an active figure, it will be updated and displayed before the
+    pause, and the GUI event loop (if any) will run during the pause.
 
-## Any Artist ##
-# (getp is simply imported)
-@docstring.copy(_setp)
-def setp(*args, **kwargs):
-    ret = _setp(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+    This can be used for crude animation.  For more complex animation use
+    :mod:`matplotlib.animation`.
+
+    If there is no active figure, sleep for *interval* seconds instead.
+
+    See Also
+    --------
+    matplotlib.animation : Proper animations
+    show : Show all figures and optional block until all figures are closed.
+    """
+    manager = _pylab_helpers.Gcf.get_active()
+    if manager is not None:
+        canvas = manager.canvas
+        if canvas.figure.stale:
+            canvas.draw_idle()
+        show(block=False)
+        canvas.start_event_loop(interval)
+    else:
+        time.sleep(interval)
+
+
+@_copy_docstring_and_deprecators(matplotlib.rc)
+def rc(group: str, **kwargs) -> None:
+    matplotlib.rc(group, **kwargs)
+
+
+@_copy_docstring_and_deprecators(matplotlib.rc_context)
+def rc_context(
+    rc: dict[str, Any] | None = None,
+    fname: str | pathlib.Path | os.PathLike | None = None,
+) -> AbstractContextManager[None]:
+    return matplotlib.rc_context(rc, fname)
+
+
+@_copy_docstring_and_deprecators(matplotlib.rcdefaults)
+def rcdefaults() -> None:
+    matplotlib.rcdefaults()
+    if matplotlib.is_interactive():
+        draw_all()
+
+
+# getp/get/setp are explicitly reexported so that they show up in pyplot docs.
+
+
+@_copy_docstring_and_deprecators(matplotlib.artist.getp)
+def getp(obj, *args, **kwargs):
+    return matplotlib.artist.getp(obj, *args, **kwargs)
 
 
-def xkcd(scale=1, length=100, randomness=2):
+@_copy_docstring_and_deprecators(matplotlib.artist.get)
+def get(obj, *args, **kwargs):
+    return matplotlib.artist.get(obj, *args, **kwargs)
+
+
+@_copy_docstring_and_deprecators(matplotlib.artist.setp)
+def setp(obj, *args, **kwargs):
+    return matplotlib.artist.setp(obj, *args, **kwargs)
+
+
+def xkcd(
+    scale: float = 1, length: float = 100, randomness: float = 2
+) -> ExitStack:
     """
-    Turns on `xkcd <http://xkcd.com/>`_ sketch-style drawing mode.
-    This will only have effect on things drawn after this function is
-    called.
+    Turn on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode.
 
-    For best results, the "Humor Sans" font should be installed: it is
-    not included with matplotlib.
+    This will only have an effect on things drawn after this function is called.
+
+    For best results, install the `xkcd script <https://github.com/ipython/xkcd-font/>`_
+    font; xkcd fonts are not packaged with Matplotlib.
 
     Parameters
     ----------
@@ -280,8 +824,7 @@ def xkcd(scale=1, length=100, randomness=2):
 
     Notes
     -----
-    This function works by a number of rcParams, so it will probably
-    override others you have set before.
+    This function works by a number of rcParams, overriding those set before.
 
     If you want the effects of this function to be temporary, it can
     be used as a context manager, for example::
@@ -294,3519 +837,3830 @@ def xkcd(scale=1, length=100, randomness=2):
         # This figure will be in regular style
         fig2 = plt.figure()
     """
+    # This cannot be implemented in terms of contextmanager() or rc_context()
+    # because this needs to work as a non-contextmanager too.
+
     if rcParams['text.usetex']:
         raise RuntimeError(
             "xkcd mode is not compatible with text.usetex = True")
 
+    stack = ExitStack()
+    stack.callback(rcParams._update_raw, rcParams.copy())  # type: ignore[arg-type]
+
     from matplotlib import patheffects
-    context = rc_context()
-    try:
-        rcParams['font.family'] = ['Humor Sans', 'Comic Sans MS']
-        rcParams['font.size'] = 14.0
-        rcParams['path.sketch'] = (scale, length, randomness)
-        rcParams['path.effects'] = [
-            patheffects.withStroke(linewidth=4, foreground="w")]
-        rcParams['axes.linewidth'] = 1.5
-        rcParams['lines.linewidth'] = 2.0
-        rcParams['figure.facecolor'] = 'white'
-        rcParams['grid.linewidth'] = 0.0
-        rcParams['axes.unicode_minus'] = False
-        rcParams['axes.color_cycle'] = ['b', 'r', 'c', 'm']
-        rcParams['xtick.major.size'] = 8
-        rcParams['xtick.major.width'] = 3
-        rcParams['ytick.major.size'] = 8
-        rcParams['ytick.major.width'] = 3
-    except:
-        context.__exit__(*sys.exc_info())
-        raise
-    return context
+    rcParams.update({
+        'font.family': ['xkcd', 'xkcd Script', 'Comic Neue', 'Comic Sans MS'],
+        'font.size': 14.0,
+        'path.sketch': (scale, length, randomness),
+        'path.effects': [
+            patheffects.withStroke(linewidth=4, foreground="w")],
+        'axes.linewidth': 1.5,
+        'lines.linewidth': 2.0,
+        'figure.facecolor': 'white',
+        'grid.linewidth': 0.0,
+        'axes.grid': False,
+        'axes.unicode_minus': False,
+        'axes.edgecolor': 'black',
+        'xtick.major.size': 8,
+        'xtick.major.width': 3,
+        'ytick.major.size': 8,
+        'ytick.major.width': 3,
+    })
+
+    return stack
 
 
 ## Figures ##
 
-def figure(num=None,  # autoincrement if None, else integer from 1-N
-           figsize=None,  # defaults to rc figure.figsize
-           dpi=None,  # defaults to rc figure.dpi
-           facecolor=None,  # defaults to rc figure.facecolor
-           edgecolor=None,  # defaults to rc figure.edgecolor
-           frameon=True,
-           FigureClass=Figure,
-           **kwargs
-           ):
+def figure(
+    # autoincrement if None, else integer from 1-N
+    num: int | str | Figure | SubFigure | None = None,
+    # defaults to rc figure.figsize
+    figsize: ArrayLike  # a 2-element ndarray is accepted as well
+             | tuple[float, float, Literal["in", "cm", "px"]]
+             | None = None,
+    # defaults to rc figure.dpi
+    dpi: float | None = None,
+    *,
+    # defaults to rc figure.facecolor
+    facecolor: ColorType | None = None,
+    # defaults to rc figure.edgecolor
+    edgecolor: ColorType | None = None,
+    frameon: bool = True,
+    FigureClass: type[Figure] = Figure,
+    clear: bool = False,
+    **kwargs
+) -> Figure:
     """
-    Creates a new figure.
+    Create a new figure, or activate an existing figure.
 
     Parameters
     ----------
+    num : int or str or `.Figure` or `.SubFigure`, optional
+        A unique identifier for the figure.
+
+        If a figure with that identifier already exists, this figure is made
+        active and returned. An integer refers to the ``Figure.number``
+        attribute, a string refers to the figure label.
+
+        If there is no figure with the identifier or *num* is not given, a new
+        figure is created, made active and returned.  If *num* is an int, it
+        will be used for the ``Figure.number`` attribute, otherwise, an
+        auto-generated integer value is used (starting at 1 and incremented
+        for each new figure). If *num* is a string, the figure label and the
+        window title is set to this value.  If num is a ``SubFigure``, its
+        parent ``Figure`` is activated.
+
+    figsize : (float, float) or (float, float, str), default: :rc:`figure.figsize`
+        The figure dimensions. This can be
+
+        - a tuple ``(width, height, unit)``, where *unit* is one of "inch", "cm",
+          "px".
+        - a tuple ``(x, y)``, which is interpreted as ``(x, y, "inch")``.
+
+    dpi : float, default: :rc:`figure.dpi`
+        The resolution of the figure in dots-per-inch.
+
+    facecolor : :mpltype:`color`, default: :rc:`figure.facecolor`
+        The background color.
+
+    edgecolor : :mpltype:`color`, default: :rc:`figure.edgecolor`
+        The border color.
+
+    frameon : bool, default: True
+        If False, suppress drawing the figure frame.
 
-    num : integer or string, optional, default: none
-        If not provided, a new figure will be created, and the figure number
-        will be incremented. The figure objects holds this number in a `number`
-        attribute.
-        If num is provided, and a figure with this id already exists, make
-        it active, and returns a reference to it. If this figure does not
-        exists, create it and returns it.
-        If num is a string, the window title will be set to this figure's
-        `num`.
+    FigureClass : subclass of `~matplotlib.figure.Figure`
+        If set, an instance of this subclass will be created, rather than a
+        plain `.Figure`.
 
-    figsize : tuple of integers, optional, default: None
-        width, height in inches. If not provided, defaults to rc
-        figure.figsize.
+    clear : bool, default: False
+        If True and the figure already exists, then it is cleared.
 
-    dpi : integer, optional, default: None
-        resolution of the figure. If not provided, defaults to rc figure.dpi.
+    layout : {'constrained', 'compressed', 'tight', 'none', `.LayoutEngine`, None}, \
+default: None
+        The layout mechanism for positioning of plot elements to avoid
+        overlapping Axes decorations (labels, ticks, etc). Note that layout
+        managers can measurably slow down figure display.
 
-    facecolor :
-        the background color. If not provided, defaults to rc figure.facecolor
+        - 'constrained': The constrained layout solver adjusts Axes sizes
+          to avoid overlapping Axes decorations.  Can handle complex plot
+          layouts and colorbars, and is thus recommended.
 
-    edgecolor :
-        the border color. If not provided, defaults to rc figure.edgecolor
+          See :ref:`constrainedlayout_guide`
+          for examples.
+
+        - 'compressed': uses the same algorithm as 'constrained', but
+          removes extra space between fixed-aspect-ratio Axes.  Best for
+          simple grids of Axes.
+
+        - 'tight': Use the tight layout mechanism. This is a relatively
+          simple algorithm that adjusts the subplot parameters so that
+          decorations do not overlap. See `.Figure.set_tight_layout` for
+          further details.
+
+        - 'none': Do not use a layout engine.
+
+        - A `.LayoutEngine` instance. Builtin layout classes are
+          `.ConstrainedLayoutEngine` and `.TightLayoutEngine`, more easily
+          accessible by 'constrained' and 'tight'.  Passing an instance
+          allows third parties to provide their own layout engine.
+
+        If not given, fall back to using the parameters *tight_layout* and
+        *constrained_layout*, including their config defaults
+        :rc:`figure.autolayout` and :rc:`figure.constrained_layout.use`.
+
+    **kwargs
+        Additional keyword arguments are passed to the `.Figure` constructor.
 
     Returns
     -------
-    figure : Figure
-        The Figure instance returned will also be passed to new_figure_manager
-        in the backends, which allows to hook custom Figure classes into the
-        pylab interface. Additional kwargs will be passed to the figure init
-        function.
+    `~matplotlib.figure.Figure`
 
     Notes
     -----
-    If you are creating many figures, make sure you explicitly call "close"
-    on the figures you are not using, because this will enable pylab
-    to properly clean up the memory.
-
-    rcParams defines the default values, which can be modified in the
-    matplotlibrc file
-
+    A newly created figure is passed to the `~.FigureCanvasBase.new_manager`
+    method or the `new_figure_manager` function provided by the current
+    backend, which install a canvas and a manager on the figure.
+
+    Once this is done, :rc:`figure.hooks` are called, one at a time, on the
+    figure; these hooks allow arbitrary customization of the figure (e.g.,
+    attaching callbacks) or of associated elements (e.g., modifying the
+    toolbar).  See :doc:`/gallery/user_interfaces/mplcvd` for an example of
+    toolbar customization.
+
+    If you are creating many figures, make sure you explicitly call
+    `.pyplot.close` on the figures you are not using, because this will
+    enable pyplot to properly clean up the memory.
+
+    `~matplotlib.rcParams` defines the default values, which can be modified
+    in the matplotlibrc file.
     """
+    allnums = get_fignums()
 
-    if figsize is None:
-        figsize = rcParams['figure.figsize']
-    if dpi is None:
-        dpi = rcParams['figure.dpi']
-    if facecolor is None:
-        facecolor = rcParams['figure.facecolor']
-    if edgecolor is None:
-        edgecolor = rcParams['figure.edgecolor']
+    if isinstance(num, FigureBase):
+        # type narrowed to `Figure | SubFigure` by combination of input and isinstance
+        root_fig = num.get_figure(root=True)
+        if root_fig.canvas.manager is None:
+            raise ValueError("The passed figure is not managed by pyplot")
+        elif (any(param is not None for param in [figsize, dpi, facecolor, edgecolor])
+              or not frameon or kwargs) and root_fig.canvas.manager.num in allnums:
+            _api.warn_external(
+                "Ignoring specified arguments in this call because figure "
+                f"with num: {root_fig.canvas.manager.num} already exists")
+        _pylab_helpers.Gcf.set_active(root_fig.canvas.manager)
+        return root_fig
 
-    allnums = get_fignums()
     next_num = max(allnums) + 1 if allnums else 1
-    figLabel = ''
+    fig_label = ''
     if num is None:
         num = next_num
-    elif is_string_like(num):
-        figLabel = num
-        allLabels = get_figlabels()
-        if figLabel not in allLabels:
-            if figLabel == 'all':
-                warnings.warn("close('all') closes all existing figures")
-            num = next_num
-        else:
-            inum = allLabels.index(figLabel)
-            num = allnums[inum]
     else:
-        num = int(num)  # crude validation of num argument
+        if (any(param is not None for param in [figsize, dpi, facecolor, edgecolor])
+              or not frameon or kwargs) and num in allnums:
+            _api.warn_external(
+                "Ignoring specified arguments in this call "
+                f"because figure with num: {num} already exists")
+        if isinstance(num, str):
+            fig_label = num
+            all_labels = get_figlabels()
+            if fig_label not in all_labels:
+                if fig_label == 'all':
+                    _api.warn_external("close('all') closes all existing figures.")
+                num = next_num
+            else:
+                inum = all_labels.index(fig_label)
+                num = allnums[inum]
+        else:
+            num = int(num)  # crude validation of num argument
 
-    figManager = _pylab_helpers.Gcf.get_fig_manager(num)
-    if figManager is None:
+    # Type of "num" has narrowed to int, but mypy can't quite see it
+    manager = _pylab_helpers.Gcf.get_fig_manager(num)  # type: ignore[arg-type]
+    if manager is None:
         max_open_warning = rcParams['figure.max_open_warning']
+        if len(allnums) == max_open_warning >= 1:
+            _api.warn_external(
+                f"More than {max_open_warning} figures have been opened. "
+                f"Figures created through the pyplot interface "
+                f"(`matplotlib.pyplot.figure`) are retained until explicitly "
+                f"closed and may consume too much memory. (To control this "
+                f"warning, see the rcParam `figure.max_open_warning`). "
+                f"Consider using `matplotlib.pyplot.close()`.",
+                RuntimeWarning)
+
+        manager = new_figure_manager(
+            num, figsize=figsize, dpi=dpi,
+            facecolor=facecolor, edgecolor=edgecolor, frameon=frameon,
+            FigureClass=FigureClass, **kwargs)
+        fig = manager.canvas.figure
+        if fig_label:
+            fig.set_label(fig_label)
+
+        for hookspecs in rcParams["figure.hooks"]:
+            module_name, dotted_name = hookspecs.split(":")
+            obj: Any = importlib.import_module(module_name)
+            for part in dotted_name.split("."):
+                obj = getattr(obj, part)
+            obj(fig)
+
+        _pylab_helpers.Gcf._set_new_active_manager(manager)
+
+        # make sure backends (inline) that we don't ship that expect this
+        # to be called in plotting commands to make the figure call show
+        # still work.  There is probably a better way to do this in the
+        # FigureManager base class.
+        draw_if_interactive()
 
-        if (max_open_warning >= 1 and
-            len(allnums) >= max_open_warning):
-            warnings.warn(
-                "More than %d figures have been opened. Figures "
-                "created through the pyplot interface "
-                "(`matplotlib.pyplot.figure`) are retained until "
-                "explicitly closed and may consume too much memory. "
-                "(To control this warning, see the rcParam "
-                "`figure.max_open_warning`)." %
-                max_open_warning, RuntimeWarning)
-
-        if get_backend().lower() == 'ps':
-            dpi = 72
-
-        figManager = new_figure_manager(num, figsize=figsize,
-                                        dpi=dpi,
-                                        facecolor=facecolor,
-                                        edgecolor=edgecolor,
-                                        frameon=frameon,
-                                        FigureClass=FigureClass,
-                                        **kwargs)
-
-        if figLabel:
-            figManager.set_window_title(figLabel)
-            figManager.canvas.figure.set_label(figLabel)
-
-        # make this figure current on button press event
-        def make_active(event):
-            _pylab_helpers.Gcf.set_active(figManager)
+        if _REPL_DISPLAYHOOK is _ReplDisplayHook.PLAIN:
+            fig.stale_callback = _auto_draw_if_interactive
 
-        cid = figManager.canvas.mpl_connect('button_press_event', make_active)
-        figManager._cidgcf = cid
+    if clear:
+        manager.canvas.figure.clear()
 
-        _pylab_helpers.Gcf.set_active(figManager)
-        figManager.canvas.figure.number = num
+    return manager.canvas.figure
 
-    draw_if_interactive()
-    return figManager.canvas.figure
 
+def _auto_draw_if_interactive(fig, val):
+    """
+    An internal helper function for making sure that auto-redrawing
+    works as intended in the plain python repl.
 
-def gcf():
-    "Return a reference to the current figure."
+    Parameters
+    ----------
+    fig : Figure
+        A figure object which is assumed to be associated with a canvas
+    """
+    if (val and matplotlib.is_interactive()
+            and not fig.canvas.is_saving()
+            and not fig.canvas._is_idle_drawing):
+        # Some artists can mark themselves as stale in the middle of drawing
+        # (e.g. axes position & tick labels being computed at draw time), but
+        # this shouldn't trigger a redraw because the current redraw will
+        # already take them into account.
+        with fig.canvas._idle_draw_cntx():
+            fig.canvas.draw_idle()
+
+
+def gcf() -> Figure:
+    """
+    Get the current figure.
 
-    figManager = _pylab_helpers.Gcf.get_active()
-    if figManager is not None:
-        return figManager.canvas.figure
+    If there is currently no figure on the pyplot figure stack, a new one is
+    created using `~.pyplot.figure()`.  (To test whether there is currently a
+    figure on the pyplot figure stack, check whether `~.pyplot.get_fignums()`
+    is empty.)
+    """
+    manager = _pylab_helpers.Gcf.get_active()
+    if manager is not None:
+        return manager.canvas.figure
     else:
         return figure()
 
-fignum_exists = _pylab_helpers.Gcf.has_fignum
 
+def fignum_exists(num: int | str) -> bool:
+    """
+    Return whether the figure with the given id exists.
 
-def get_fignums():
-    """Return a list of existing figure numbers."""
-    fignums = list(six.iterkeys(_pylab_helpers.Gcf.figs))
-    fignums.sort()
-    return fignums
+    Parameters
+    ----------
+    num : int or str
+        A figure identifier.
 
+    Returns
+    -------
+    bool
+        Whether or not a figure with id *num* exists.
+    """
+    return (
+        _pylab_helpers.Gcf.has_fignum(num)
+        if isinstance(num, int)
+        else num in get_figlabels()
+    )
 
-def get_figlabels():
-    "Return a list of existing figure labels."
-    figManagers = _pylab_helpers.Gcf.get_all_fig_managers()
-    figManagers.sort(key=lambda m: m.num)
-    return [m.canvas.figure.get_label() for m in figManagers]
 
+def get_fignums() -> list[int]:
+    """Return a list of existing figure numbers."""
+    return sorted(_pylab_helpers.Gcf.figs)
 
-def get_current_fig_manager():
-    figManager = _pylab_helpers.Gcf.get_active()
-    if figManager is None:
-        gcf()  # creates an active figure as a side effect
-        figManager = _pylab_helpers.Gcf.get_active()
-    return figManager
 
+def get_figlabels() -> list[Any]:
+    """Return a list of existing figure labels."""
+    managers = _pylab_helpers.Gcf.get_all_fig_managers()
+    managers.sort(key=lambda m: m.num)
+    return [m.canvas.figure.get_label() for m in managers]
 
-@docstring.copy_dedent(FigureCanvasBase.mpl_connect)
-def connect(s, func):
-    return get_current_fig_manager().canvas.mpl_connect(s, func)
 
+def get_current_fig_manager() -> FigureManagerBase | None:
+    """
+    Return the figure manager of the current figure.
 
-@docstring.copy_dedent(FigureCanvasBase.mpl_disconnect)
-def disconnect(cid):
-    return get_current_fig_manager().canvas.mpl_disconnect(cid)
+    The figure manager is a container for the actual backend-depended window
+    that displays the figure on screen.
 
+    If no current figure exists, a new one is created, and its figure
+    manager is returned.
 
-def close(*args):
+    Returns
+    -------
+    `.FigureManagerBase` or backend-dependent subclass thereof
     """
-    Close a figure window.
+    return gcf().canvas.manager
 
-    ``close()`` by itself closes the current figure
 
-    ``close(h)`` where *h* is a :class:`Figure` instance, closes that figure
+@_copy_docstring_and_deprecators(FigureCanvasBase.mpl_connect)
+def connect(s: str, func: Callable[[Event], Any]) -> int:
+    return gcf().canvas.mpl_connect(s, func)
 
-    ``close(num)`` closes figure number *num*
 
-    ``close(name)`` where *name* is a string, closes figure with that label
+@_copy_docstring_and_deprecators(FigureCanvasBase.mpl_disconnect)
+def disconnect(cid: int) -> None:
+    gcf().canvas.mpl_disconnect(cid)
 
-    ``close('all')`` closes all the figure windows
+
+def close(fig: None | int | str | Figure | Literal["all"] = None) -> None:
     """
+    Close a figure window, and unregister it from pyplot.
 
-    if len(args) == 0:
-        figManager = _pylab_helpers.Gcf.get_active()
-        if figManager is None:
+    Parameters
+    ----------
+    fig : None or int or str or `.Figure`
+        The figure to close. There are a number of ways to specify this:
+
+        - *None*: the current figure
+        - `.Figure`: the given `.Figure` instance
+        - ``int``: a figure number
+        - ``str``: a figure name
+        - 'all': all figures
+
+    Notes
+    -----
+    pyplot maintains a reference to figures created with `figure()`. When
+    work on the figure is completed, it should be closed, i.e. deregistered
+    from pyplot, to free its memory (see also :rc:figure.max_open_warning).
+    Closing a figure window created by `show()` automatically deregisters the
+    figure. For all other use cases, most prominently `savefig()` without
+    `show()`, the figure must be deregistered explicitly using `close()`.
+    """
+    if fig is None:
+        manager = _pylab_helpers.Gcf.get_active()
+        if manager is None:
             return
         else:
-            _pylab_helpers.Gcf.destroy(figManager.num)
-    elif len(args) == 1:
-        arg = args[0]
-        if arg == 'all':
-            _pylab_helpers.Gcf.destroy_all()
-        elif isinstance(arg, six.integer_types):
-            _pylab_helpers.Gcf.destroy(arg)
-        elif hasattr(arg, 'int'):
-            # if we are dealing with a type UUID, we
-            # can use its integer representation
-            _pylab_helpers.Gcf.destroy(arg.int)
-        elif is_string_like(arg):
-            allLabels = get_figlabels()
-            if arg in allLabels:
-                num = get_fignums()[allLabels.index(arg)]
-                _pylab_helpers.Gcf.destroy(num)
-        elif isinstance(arg, Figure):
-            _pylab_helpers.Gcf.destroy_fig(arg)
-        else:
-            raise TypeError('Unrecognized argument type %s to close' % type(arg))
+            _pylab_helpers.Gcf.destroy(manager)
+    elif fig == 'all':
+        _pylab_helpers.Gcf.destroy_all()
+    elif isinstance(fig, int):
+        _pylab_helpers.Gcf.destroy(fig)
+    elif hasattr(fig, 'int'):  # UUIDs get converted to ints by figure().
+        _pylab_helpers.Gcf.destroy(fig.int)
+    elif isinstance(fig, str):
+        all_labels = get_figlabels()
+        if fig in all_labels:
+            num = get_fignums()[all_labels.index(fig)]
+            _pylab_helpers.Gcf.destroy(num)
+    elif isinstance(fig, Figure):
+        _pylab_helpers.Gcf.destroy_fig(fig)
     else:
-        raise TypeError('close takes 0 or 1 arguments')
+        _api.check_isinstance(  # type: ignore[unreachable]
+            (Figure, int, str, None), fig=fig)
 
 
-def clf():
-    """
-    Clear the current figure.
-    """
-    gcf().clf()
-    draw_if_interactive()
+def clf() -> None:
+    """Clear the current figure."""
+    gcf().clear()
 
 
-def draw():
+def draw() -> None:
     """
     Redraw the current figure.
 
-    This is used in interactive mode to update a figure that
-    has been altered using one or more plot object method calls;
-    it is not needed if figure modification is done entirely
-    with pyplot functions, if a sequence of modifications ends
-    with a pyplot function, or if matplotlib is in non-interactive
-    mode and the sequence of modifications ends with :func:`show` or
-    :func:`savefig`.
-
-    A more object-oriented alternative, given any
-    :class:`~matplotlib.figure.Figure` instance, :attr:`fig`, that
-    was created using a :mod:`~matplotlib.pyplot` function, is::
-
-        fig.canvas.draw()
+    This is used to update a figure that has been altered, but not
+    automatically re-drawn.  If interactive mode is on (via `.ion()`), this
+    should be only rarely needed, but there may be ways to modify the state of
+    a figure without marking it as "stale".  Please report these cases as bugs.
 
+    This is equivalent to calling ``fig.canvas.draw_idle()``, where ``fig`` is
+    the current figure.
 
+    See Also
+    --------
+    .FigureCanvasBase.draw_idle
+    .FigureCanvasBase.draw
     """
-    get_current_fig_manager().canvas.draw()
+    gcf().canvas.draw_idle()
 
 
-@docstring.copy_dedent(Figure.savefig)
-def savefig(*args, **kwargs):
+@_copy_docstring_and_deprecators(Figure.savefig)
+def savefig(*args, **kwargs) -> None:
     fig = gcf()
-    res = fig.savefig(*args, **kwargs)
-    draw()   # need this if 'transparent=True' to reset colors
+    # savefig default implementation has no return, so mypy is unhappy
+    # presumably this is here because subclasses can return?
+    res = fig.savefig(*args, **kwargs)  # type: ignore[func-returns-value]
+    fig.canvas.draw_idle()  # Need this if 'transparent=True', to reset colors.
     return res
 
 
-@docstring.copy_dedent(Figure.ginput)
-def ginput(*args, **kwargs):
-    """
-    Blocking call to interact with the figure.
-
-    This will wait for *n* clicks from the user and return a list of the
-    coordinates of each click.
+## Putting things in figures ##
 
-    If *timeout* is negative, does not timeout.
-    """
-    return gcf().ginput(*args, **kwargs)
 
+def figlegend(*args, **kwargs) -> Legend:
+    return gcf().legend(*args, **kwargs)
+if Figure.legend.__doc__:
+    figlegend.__doc__ = Figure.legend.__doc__ \
+        .replace(" legend(", " figlegend(") \
+        .replace("fig.legend(", "plt.figlegend(") \
+        .replace("ax.plot(", "plt.plot(")
 
-@docstring.copy_dedent(Figure.waitforbuttonpress)
-def waitforbuttonpress(*args, **kwargs):
-    """
-    Blocking call to interact with the figure.
 
-    This will wait for *n* key or mouse clicks from the user and
-    return a list containing True's for keyboard clicks and False's
-    for mouse clicks.
+## Axes ##
 
-    If *timeout* is negative, does not timeout.
+@_docstring.interpd
+def axes(
+    arg: None | tuple[float, float, float, float] = None,
+    **kwargs
+) -> matplotlib.axes.Axes:
     """
-    return gcf().waitforbuttonpress(*args, **kwargs)
+    Add an Axes to the current figure and make it the current Axes.
 
+    Call signatures::
 
-# Putting things in figures
+        plt.axes()
+        plt.axes(rect, projection=None, polar=False, **kwargs)
+        plt.axes(ax)
 
-@docstring.copy_dedent(Figure.text)
-def figtext(*args, **kwargs):
+    Parameters
+    ----------
+    arg : None or 4-tuple
+        The exact behavior of this function depends on the type:
 
-    ret =  gcf().text(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+        - *None*: A new full window Axes is added using
+          ``subplot(**kwargs)``.
+        - 4-tuple of floats *rect* = ``(left, bottom, width, height)``.
+          A new Axes is added with dimensions *rect* in normalized
+          (0, 1) units using `~.Figure.add_axes` on the current figure.
 
+    projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', \
+'polar', 'rectilinear', str}, optional
+        The projection type of the `~.axes.Axes`. *str* is the name of
+        a custom projection, see `~matplotlib.projections`. The default
+        None results in a 'rectilinear' projection.
 
-@docstring.copy_dedent(Figure.suptitle)
-def suptitle(*args, **kwargs):
-    ret =  gcf().suptitle(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+    polar : bool, default: False
+        If True, equivalent to projection='polar'.
 
+    sharex, sharey : `~matplotlib.axes.Axes`, optional
+        Share the x or y `~matplotlib.axis` with sharex and/or sharey.
+        The axis will have the same limits, ticks, and scale as the axis
+        of the shared Axes.
 
-@docstring.Appender("Addition kwargs: hold = [True|False] overrides default hold state", "\n")
-@docstring.copy_dedent(Figure.figimage)
-def figimage(*args, **kwargs):
-    # allow callers to override the hold state by passing hold=True|False
-    ret =  gcf().figimage(*args, **kwargs)
-    draw_if_interactive()
-    #sci(ret)  # JDH figimage should not set current image -- it is not mappable, etc
-    return ret
+    label : str
+        A label for the returned Axes.
 
+    Returns
+    -------
+    `~.axes.Axes`, or a subclass of `~.axes.Axes`
+        The returned Axes class depends on the projection used. It is
+        `~.axes.Axes` if rectilinear projection is used and
+        `.projections.polar.PolarAxes` if polar projection is used.
 
-def figlegend(handles, labels, loc, **kwargs):
-    """
-    Place a legend in the figure.
+    Other Parameters
+    ----------------
+    **kwargs
+        This method also takes the keyword arguments for
+        the returned Axes class. The keyword arguments for the
+        rectilinear Axes class `~.axes.Axes` can be found in
+        the following table but there might also be other keyword
+        arguments if another projection is used, see the actual Axes
+        class.
 
-    *labels*
-      a sequence of strings
+        %(Axes:kwdoc)s
 
-    *handles*
-      a sequence of :class:`~matplotlib.lines.Line2D` or
-      :class:`~matplotlib.patches.Patch` instances
+    See Also
+    --------
+    .Figure.add_axes
+    .pyplot.subplot
+    .Figure.add_subplot
+    .Figure.subplots
+    .pyplot.subplots
 
-    *loc*
-      can be a string or an integer specifying the legend
-      location
+    Examples
+    --------
+    ::
 
-    A :class:`matplotlib.legend.Legend` instance is returned.
+        # Creating a new full window Axes
+        plt.axes()
 
-    Example::
+        # Creating a new Axes with specified dimensions and a grey background
+        plt.axes((left, bottom, width, height), facecolor='grey')
+    """
+    fig = gcf()
+    pos = kwargs.pop('position', None)
+    if arg is None:
+        if pos is None:
+            return fig.add_subplot(**kwargs)
+        else:
+            return fig.add_axes(pos, **kwargs)
+    else:
+        return fig.add_axes(arg, **kwargs)
 
-      figlegend( (line1, line2, line3),
-                 ('label1', 'label2', 'label3'),
-                 'upper right' )
 
-    .. seealso::
+def delaxes(ax: matplotlib.axes.Axes | None = None) -> None:
+    """
+    Remove an `~.axes.Axes` (defaulting to the current Axes) from its figure.
+    """
+    if ax is None:
+        ax = gca()
+    ax.remove()
 
-       :func:`~matplotlib.pyplot.legend`
 
+def sca(ax: Axes) -> None:
     """
-    l = gcf().legend(handles, labels, loc, **kwargs)
-    draw_if_interactive()
-    return l
+    Set the current Axes to *ax* and the current Figure to the parent of *ax*.
+    """
+    # Mypy sees ax.figure as potentially None,
+    # but if you are calling this, it won't be None
+    # Additionally the slight difference between `Figure` and `FigureBase` mypy catches
+    fig = ax.get_figure(root=False)
+    figure(fig)  # type: ignore[arg-type]
+    fig.sca(ax)  # type: ignore[union-attr]
 
 
-## Figure and Axes hybrid ##
+def cla() -> None:
+    """Clear the current Axes."""
+    # Not generated via boilerplate.py to allow a different docstring.
+    return gca().cla()
 
-def hold(b=None):
-    """
-    Set the hold state.  If *b* is None (default), toggle the
-    hold state, else set the hold state to boolean value *b*::
 
-      hold()      # toggle hold
-      hold(True)  # hold is on
-      hold(False) # hold is off
+## More ways of creating Axes ##
 
-    When *hold* is *True*, subsequent plot commands will be added to
-    the current axes.  When *hold* is *False*, the current axes and
-    figure will be cleared on the next plot command.
+@_docstring.interpd
+def subplot(*args, **kwargs) -> Axes:
     """
+    Add an Axes to the current figure or retrieve an existing Axes.
 
-    fig = gcf()
-    ax = fig.gca()
-
-    fig.hold(b)
-    ax.hold(b)
+    This is a wrapper of `.Figure.add_subplot` which provides additional
+    behavior when working with the implicit API (see the notes section).
 
-    # b=None toggles the hold state, so let's get get the current hold
-    # state; but should pyplot hold toggle the rc setting - me thinks
-    # not
-    b = ax.ishold()
+    Call signatures::
 
-    rc('axes', hold=b)
+       subplot(nrows, ncols, index, **kwargs)
+       subplot(pos, **kwargs)
+       subplot(**kwargs)
+       subplot(ax)
 
+    Parameters
+    ----------
+    *args : int, (int, int, *index*), or `.SubplotSpec`, default: (1, 1, 1)
+        The position of the subplot described by one of
+
+        - Three integers (*nrows*, *ncols*, *index*). The subplot will take the
+          *index* position on a grid with *nrows* rows and *ncols* columns.
+          *index* starts at 1 in the upper left corner and increases to the
+          right. *index* can also be a two-tuple specifying the (*first*,
+          *last*) indices (1-based, and including *last*) of the subplot, e.g.,
+          ``fig.add_subplot(3, 1, (1, 2))`` makes a subplot that spans the
+          upper 2/3 of the figure.
+        - A 3-digit integer. The digits are interpreted as if given separately
+          as three single-digit integers, i.e. ``fig.add_subplot(235)`` is the
+          same as ``fig.add_subplot(2, 3, 5)``. Note that this can only be used
+          if there are no more than 9 subplots.
+        - A `.SubplotSpec`.
+
+    projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', \
+'polar', 'rectilinear', str}, optional
+        The projection type of the subplot (`~.axes.Axes`). *str* is the name
+        of a custom projection, see `~matplotlib.projections`. The default
+        None results in a 'rectilinear' projection.
+
+    polar : bool, default: False
+        If True, equivalent to projection='polar'.
+
+    sharex, sharey : `~matplotlib.axes.Axes`, optional
+        Share the x or y `~matplotlib.axis` with sharex and/or sharey. The
+        axis will have the same limits, ticks, and scale as the axis of the
+        shared Axes.
 
-def ishold():
-    """
-    Return the hold status of the current axes.
-    """
-    return gca().ishold()
+    label : str
+        A label for the returned Axes.
 
+    Returns
+    -------
+    `~.axes.Axes`
 
-def over(func, *args, **kwargs):
-    """
-    Call a function with hold(True).
+        The Axes of the subplot. The returned Axes can actually be an instance
+        of a subclass, such as `.projections.polar.PolarAxes` for polar
+        projections.
 
-    Calls::
+    Other Parameters
+    ----------------
+    **kwargs
+        This method also takes the keyword arguments for the returned Axes
+        base class; except for the *figure* argument. The keyword arguments
+        for the rectilinear base class `~.axes.Axes` can be found in
+        the following table but there might also be other keyword
+        arguments if another projection is used.
 
-      func(*args, **kwargs)
+        %(Axes:kwdoc)s
 
-    with ``hold(True)`` and then restores the hold state.
-    """
-    h = ishold()
-    hold(True)
-    func(*args, **kwargs)
-    hold(h)
+    Notes
+    -----
+    .. versionchanged:: 3.8
+        In versions prior to 3.8, any preexisting Axes that overlap with the new Axes
+        beyond sharing a boundary was deleted. Deletion does not happen in more
+        recent versions anymore. Use `.Axes.remove` explicitly if needed.
+
+    If you do not want this behavior, use the `.Figure.add_subplot` method
+    or the `.pyplot.axes` function instead.
+
+    If no *kwargs* are passed and there exists an Axes in the location
+    specified by *args* then that Axes will be returned rather than a new
+    Axes being created.
+
+    If *kwargs* are passed and there exists an Axes in the location
+    specified by *args*, the projection type is the same, and the
+    *kwargs* match with the existing Axes, then the existing Axes is
+    returned.  Otherwise a new Axes is created with the specified
+    parameters.  We save a reference to the *kwargs* which we use
+    for this comparison.  If any of the values in *kwargs* are
+    mutable we will not detect the case where they are mutated.
+    In these cases we suggest using `.Figure.add_subplot` and the
+    explicit Axes API rather than the implicit pyplot API.
 
-## Axes ##
+    See Also
+    --------
+    .Figure.add_subplot
+    .pyplot.subplots
+    .pyplot.axes
+    .Figure.subplots
 
+    Examples
+    --------
+    ::
 
-def axes(*args, **kwargs):
-    """
-    Add an axes to the figure.
+        plt.subplot(221)
 
-    The axes is added at position *rect* specified by:
+        # equivalent but more general
+        ax1 = plt.subplot(2, 2, 1)
 
-    - ``axes()`` by itself creates a default full ``subplot(111)`` window axis.
+        # add a subplot with no frame
+        ax2 = plt.subplot(222, frameon=False)
 
-    - ``axes(rect, axisbg='w')`` where *rect* = [left, bottom, width,
-      height] in normalized (0, 1) units.  *axisbg* is the background
-      color for the axis, default white.
+        # add a polar subplot
+        plt.subplot(223, projection='polar')
 
-    - ``axes(h)`` where *h* is an axes instance makes *h* the current
-      axis.  An :class:`~matplotlib.axes.Axes` instance is returned.
+        # add a red subplot that shares the x-axis with ax1
+        plt.subplot(224, sharex=ax1, facecolor='red')
 
-    =======   ==============   ==============================================
-    kwarg     Accepts          Description
-    =======   ==============   ==============================================
-    axisbg    color            the axes background color
-    frameon   [True|False]     display the frame?
-    sharex    otherax          current axes shares xaxis attribute
-                               with otherax
-    sharey    otherax          current axes shares yaxis attribute
-                               with otherax
-    polar     [True|False]     use a polar axes?
-    aspect    [str | num]      ['equal', 'auto'] or a number.  If a number
-                               the ratio of x-unit/y-unit in screen-space.
-                               Also see
-                               :meth:`~matplotlib.axes.Axes.set_aspect`.
-    =======   ==============   ==============================================
+        # delete ax2 from the figure
+        plt.delaxes(ax2)
 
-    Examples:
+        # add ax2 to the figure again
+        plt.subplot(ax2)
 
-    * :file:`examples/pylab_examples/axes_demo.py` places custom axes.
-    * :file:`examples/pylab_examples/shared_axis_demo.py` uses
-      *sharex* and *sharey*.
+        # make the first Axes "current" again
+        plt.subplot(221)
 
     """
+    # Here we will only normalize `polar=True` vs `projection='polar'` and let
+    # downstream code deal with the rest.
+    unset = object()
+    projection = kwargs.get('projection', unset)
+    polar = kwargs.pop('polar', unset)
+    if polar is not unset and polar:
+        # if we got mixed messages from the user, raise
+        if projection is not unset and projection != 'polar':
+            raise ValueError(
+                f"polar={polar}, yet projection={projection!r}. "
+                "Only one of these arguments should be supplied."
+            )
+        kwargs['projection'] = projection = 'polar'
 
-    nargs = len(args)
+    # if subplot called without arguments, create subplot(1, 1, 1)
     if len(args) == 0:
-        return subplot(111, **kwargs)
-    if nargs > 1:
-        raise TypeError('Only one non keyword arg to axes allowed')
-    arg = args[0]
+        args = (1, 1, 1)
+
+    # This check was added because it is very easy to type subplot(1, 2, False)
+    # when subplots(1, 2, False) was intended (sharex=False, that is). In most
+    # cases, no error will ever occur, but mysterious behavior can result
+    # because what was intended to be the sharex argument is instead treated as
+    # a subplot index for subplot()
+    if len(args) >= 3 and isinstance(args[2], bool):
+        _api.warn_external("The subplot index argument to subplot() appears "
+                           "to be a boolean. Did you intend to use "
+                           "subplots()?")
+    # Check for nrows and ncols, which are not valid subplot args:
+    if 'nrows' in kwargs or 'ncols' in kwargs:
+        raise TypeError("subplot() got an unexpected keyword argument 'ncols' "
+                        "and/or 'nrows'.  Did you intend to call subplots()?")
 
-    if isinstance(arg, Axes):
-        a = gcf().sca(arg)
+    fig = gcf()
+
+    # First, search for an existing subplot with a matching spec.
+    key = SubplotSpec._from_subplot_args(fig, args)
+
+    for ax in fig.axes:
+        # If we found an Axes at the position, we can reuse it if the user passed no
+        # kwargs or if the Axes class and kwargs are identical.
+        if (ax.get_subplotspec() == key
+            and (kwargs == {}
+                 or (ax._projection_init
+                     == fig._process_projection_requirements(**kwargs)))):
+            break
     else:
-        rect = arg
-        a = gcf().add_axes(rect, **kwargs)
-    draw_if_interactive()
-    return a
+        # we have exhausted the known Axes and none match, make a new one!
+        ax = fig.add_subplot(*args, **kwargs)
 
+    fig.sca(ax)
 
-def delaxes(*args):
-    """
-    Remove an axes from the current figure.  If *ax*
-    doesn't exist, an error will be raised.
+    return ax
 
-    ``delaxes()``: delete the current axes
+
+@overload
+def subplots(
+    nrows: Literal[1] = ...,
+    ncols: Literal[1] = ...,
+    *,
+    sharex: bool | Literal["none", "all", "row", "col"] = ...,
+    sharey: bool | Literal["none", "all", "row", "col"] = ...,
+    squeeze: Literal[True] = ...,
+    width_ratios: Sequence[float] | None = ...,
+    height_ratios: Sequence[float] | None = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    **fig_kw
+) -> tuple[Figure, Axes]:
+    ...
+
+
+@overload
+def subplots(
+    nrows: int = ...,
+    ncols: int = ...,
+    *,
+    sharex: bool | Literal["none", "all", "row", "col"] = ...,
+    sharey: bool | Literal["none", "all", "row", "col"] = ...,
+    squeeze: Literal[False],
+    width_ratios: Sequence[float] | None = ...,
+    height_ratios: Sequence[float] | None = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    **fig_kw
+) -> tuple[Figure, np.ndarray]:  # TODO numpy/numpy#24738
+    ...
+
+
+@overload
+def subplots(
+    nrows: int = ...,
+    ncols: int = ...,
+    *,
+    sharex: bool | Literal["none", "all", "row", "col"] = ...,
+    sharey: bool | Literal["none", "all", "row", "col"] = ...,
+    squeeze: bool = ...,
+    width_ratios: Sequence[float] | None = ...,
+    height_ratios: Sequence[float] | None = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    **fig_kw
+) -> tuple[Figure, Any]:
+    ...
+
+
+def subplots(
+    nrows: int = 1, ncols: int = 1, *,
+    sharex: bool | Literal["none", "all", "row", "col"] = False,
+    sharey: bool | Literal["none", "all", "row", "col"] = False,
+    squeeze: bool = True,
+    width_ratios: Sequence[float] | None = None,
+    height_ratios: Sequence[float] | None = None,
+    subplot_kw: dict[str, Any] | None = None,
+    gridspec_kw: dict[str, Any] | None = None,
+    **fig_kw
+) -> tuple[Figure, Any]:
     """
-    if not len(args):
-        ax = gca()
-    else:
-        ax = args[0]
-    ret = gcf().delaxes(ax)
-    draw_if_interactive()
-    return ret
+    Create a figure and a set of subplots.
 
+    This utility wrapper makes it convenient to create common layouts of
+    subplots, including the enclosing figure object, in a single call.
 
-def sca(ax):
-    """
-    Set the current Axes instance to *ax*.
-
-    The current Figure is updated to the parent of *ax*.
-    """
-    managers = _pylab_helpers.Gcf.get_all_fig_managers()
-    for m in managers:
-        if ax in m.canvas.figure.axes:
-            _pylab_helpers.Gcf.set_active(m)
-            m.canvas.figure.sca(ax)
-            return
-    raise ValueError("Axes instance argument was not found in a figure.")
-
-
-def gca(**kwargs):
-    """
-    Return the current :class:`~matplotlib.axes.Axes` instance on the
-    current figure matching the given keyword args, or create one.
-
-    Examples
-    ---------
-    To get the the current polar axes on the current figure::
-
-        plt.gca(projection='polar')
+    Parameters
+    ----------
+    nrows, ncols : int, default: 1
+        Number of rows/columns of the subplot grid.
+
+    sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False
+        Controls sharing of properties among x (*sharex*) or y (*sharey*)
+        axes:
+
+        - True or 'all': x- or y-axis will be shared among all subplots.
+        - False or 'none': each subplot x- or y-axis will be independent.
+        - 'row': each subplot row will share an x- or y-axis.
+        - 'col': each subplot column will share an x- or y-axis.
+
+        When subplots have a shared x-axis along a column, only the x tick
+        labels of the bottom subplot are created. Similarly, when subplots
+        have a shared y-axis along a row, only the y tick labels of the first
+        column subplot are created. To later turn other subplots' ticklabels
+        on, use `~matplotlib.axes.Axes.tick_params`.
+
+        When subplots have a shared axis that has units, calling
+        `.Axis.set_units` will update each axis with the new units.
+
+        Note that it is not possible to unshare axes.
+
+    squeeze : bool, default: True
+        - If True, extra dimensions are squeezed out from the returned
+          array of `~matplotlib.axes.Axes`:
+
+          - if only one subplot is constructed (nrows=ncols=1), the
+            resulting single Axes object is returned as a scalar.
+          - for Nx1 or 1xM subplots, the returned object is a 1D numpy
+            object array of Axes objects.
+          - for NxM, subplots with N>1 and M>1 are returned as a 2D array.
+
+        - If False, no squeezing at all is done: the returned Axes object is
+          always a 2D array containing Axes instances, even if it ends up
+          being 1x1.
+
+    width_ratios : array-like of length *ncols*, optional
+        Defines the relative widths of the columns. Each column gets a
+        relative width of ``width_ratios[i] / sum(width_ratios)``.
+        If not given, all columns will have the same width.  Equivalent
+        to ``gridspec_kw={'width_ratios': [...]}``.
+
+    height_ratios : array-like of length *nrows*, optional
+        Defines the relative heights of the rows. Each row gets a
+        relative height of ``height_ratios[i] / sum(height_ratios)``.
+        If not given, all rows will have the same height. Convenience
+        for ``gridspec_kw={'height_ratios': [...]}``.
+
+    subplot_kw : dict, optional
+        Dict with keywords passed to the
+        `~matplotlib.figure.Figure.add_subplot` call used to create each
+        subplot.
 
-    If the current axes doesn't exist, or isn't a polar one, the appropriate
-    axes will be created and then returned.
+    gridspec_kw : dict, optional
+        Dict with keywords passed to the `~matplotlib.gridspec.GridSpec`
+        constructor used to create the grid the subplots are placed on.
 
-    See Also
-    --------
-    matplotlib.figure.Figure.gca : The figure's gca method.
-    """
-    ax =  gcf().gca(**kwargs)
-    return ax
+    **fig_kw
+        All additional keyword arguments are passed to the
+        `.pyplot.figure` call.
 
-# More ways of creating axes:
+    Returns
+    -------
+    fig : `.Figure`
 
-def subplot(*args, **kwargs):
-    """
-    Return a subplot axes positioned by the given grid definition.
+    ax : `~matplotlib.axes.Axes` or array of Axes
+        *ax* can be either a single `~.axes.Axes` object, or an array of Axes
+        objects if more than one subplot was created.  The dimensions of the
+        resulting array can be controlled with the squeeze keyword, see above.
 
-    Typical call signature::
+        Typical idioms for handling the return value are::
 
-      subplot(nrows, ncols, plot_number)
+            # using the variable ax for a single Axes
+            fig, ax = plt.subplots()
 
-    Where *nrows* and *ncols* are used to notionally split the figure
-    into ``nrows * ncols`` sub-axes, and *plot_number* is used to identify
-    the particular subplot that this function is to create within the notional
-    grid. *plot_number* starts at 1, increments across rows first and has a
-    maximum of ``nrows * ncols``.
+            # using the variable axs for multiple Axes
+            fig, axs = plt.subplots(2, 2)
 
-    In the case when *nrows*, *ncols* and *plot_number* are all less than 10,
-    a convenience exists, such that the a 3 digit number can be given instead,
-    where the hundreds represent *nrows*, the tens represent *ncols* and the
-    units represent *plot_number*. For instance::
+            # using tuple unpacking for multiple Axes
+            fig, (ax1, ax2) = plt.subplots(1, 2)
+            fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
 
-      subplot(211)
+        The names ``ax`` and pluralized ``axs`` are preferred over ``axes``
+        because for the latter it's not clear if it refers to a single
+        `~.axes.Axes` instance or a collection of these.
 
-    produces a subaxes in a figure which represents the top plot (i.e. the
-    first) in a 2 row by 1 column notional grid (no grid actually exists,
-    but conceptually this is how the returned subplot has been positioned).
+    See Also
+    --------
+    .pyplot.figure
+    .pyplot.subplot
+    .pyplot.axes
+    .Figure.subplots
+    .Figure.add_subplot
 
-    .. note::
+    Examples
+    --------
+    ::
 
-       Creating a new subplot with a position which is entirely inside a
-       pre-existing axes will trigger the larger axes to be deleted::
+        # First create some toy data:
+        x = np.linspace(0, 2*np.pi, 400)
+        y = np.sin(x**2)
 
-          import matplotlib.pyplot as plt
-          # plot a line, implicitly creating a subplot(111)
-          plt.plot([1,2,3])
-          # now create a subplot which represents the top plot of a grid
-          # with 2 rows and 1 column. Since this subplot will overlap the
-          # first, the plot (and its axes) previously created, will be removed
-          plt.subplot(211)
-          plt.plot(range(12))
-          plt.subplot(212, axisbg='y') # creates 2nd subplot with yellow background
+        # Create just a figure and only one subplot
+        fig, ax = plt.subplots()
+        ax.plot(x, y)
+        ax.set_title('Simple plot')
 
-       If you do not want this behavior, use the
-       :meth:`~matplotlib.figure.Figure.add_subplot` method or the
-       :func:`~matplotlib.pyplot.axes` function instead.
+        # Create two subplots and unpack the output array immediately
+        f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
+        ax1.plot(x, y)
+        ax1.set_title('Sharing Y axis')
+        ax2.scatter(x, y)
 
-    Keyword arguments:
+        # Create four polar Axes and access them through the returned array
+        fig, axs = plt.subplots(2, 2, subplot_kw=dict(projection="polar"))
+        axs[0, 0].plot(x, y)
+        axs[1, 1].scatter(x, y)
 
-      *axisbg*:
-        The background color of the subplot, which can be any valid
-        color specifier.  See :mod:`matplotlib.colors` for more
-        information.
+        # Share a X axis with each column of subplots
+        plt.subplots(2, 2, sharex='col')
 
-      *polar*:
-        A boolean flag indicating whether the subplot plot should be
-        a polar projection.  Defaults to *False*.
+        # Share a Y axis with each row of subplots
+        plt.subplots(2, 2, sharey='row')
 
-      *projection*:
-        A string giving the name of a custom projection to be used
-        for the subplot. This projection must have been previously
-        registered. See :mod:`matplotlib.projections`.
+        # Share both X and Y axes with all subplots
+        plt.subplots(2, 2, sharex='all', sharey='all')
 
-    .. seealso::
+        # Note that this is the same as
+        plt.subplots(2, 2, sharex=True, sharey=True)
 
-        :func:`~matplotlib.pyplot.axes`
-            For additional information on :func:`axes` and
-            :func:`subplot` keyword arguments.
+        # Create figure number 10 with a single subplot
+        # and clears it if it already exists.
+        fig, ax = plt.subplots(num=10, clear=True)
 
-        :file:`examples/pie_and_polar_charts/polar_scatter_demo.py`
-            For an example
+    """
+    fig = figure(**fig_kw)
+    axs = fig.subplots(nrows=nrows, ncols=ncols, sharex=sharex, sharey=sharey,
+                       squeeze=squeeze, subplot_kw=subplot_kw,
+                       gridspec_kw=gridspec_kw, height_ratios=height_ratios,
+                       width_ratios=width_ratios)
+    return fig, axs
+
+
+@overload
+def subplot_mosaic(
+    mosaic: str,
+    *,
+    sharex: bool = ...,
+    sharey: bool = ...,
+    width_ratios: ArrayLike | None = ...,
+    height_ratios: ArrayLike | None = ...,
+    empty_sentinel: str = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    per_subplot_kw: dict[str | tuple[str, ...], dict[str, Any]] | None = ...,
+    **fig_kw: Any
+) -> tuple[Figure, dict[str, matplotlib.axes.Axes]]: ...
+
+
+@overload
+def subplot_mosaic(
+    mosaic: list[HashableList[_T]],
+    *,
+    sharex: bool = ...,
+    sharey: bool = ...,
+    width_ratios: ArrayLike | None = ...,
+    height_ratios: ArrayLike | None = ...,
+    empty_sentinel: _T = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    per_subplot_kw: dict[_T | tuple[_T, ...], dict[str, Any]] | None = ...,
+    **fig_kw: Any
+) -> tuple[Figure, dict[_T, matplotlib.axes.Axes]]: ...
+
+
+@overload
+def subplot_mosaic(
+    mosaic: list[HashableList[Hashable]],
+    *,
+    sharex: bool = ...,
+    sharey: bool = ...,
+    width_ratios: ArrayLike | None = ...,
+    height_ratios: ArrayLike | None = ...,
+    empty_sentinel: Any = ...,
+    subplot_kw: dict[str, Any] | None = ...,
+    gridspec_kw: dict[str, Any] | None = ...,
+    per_subplot_kw: dict[Hashable | tuple[Hashable, ...], dict[str, Any]] | None = ...,
+    **fig_kw: Any
+) -> tuple[Figure, dict[Hashable, matplotlib.axes.Axes]]: ...
+
+
+def subplot_mosaic(
+    mosaic: str | list[HashableList[_T]] | list[HashableList[Hashable]],
+    *,
+    sharex: bool = False,
+    sharey: bool = False,
+    width_ratios: ArrayLike | None = None,
+    height_ratios: ArrayLike | None = None,
+    empty_sentinel: Any = '.',
+    subplot_kw: dict[str, Any] | None = None,
+    gridspec_kw: dict[str, Any] | None = None,
+    per_subplot_kw: dict[str | tuple[str, ...], dict[str, Any]] |
+                    dict[_T | tuple[_T, ...], dict[str, Any]] |
+                    dict[Hashable | tuple[Hashable, ...], dict[str, Any]] | None = None,
+    **fig_kw: Any
+) -> tuple[Figure, dict[str, matplotlib.axes.Axes]] | \
+     tuple[Figure, dict[_T, matplotlib.axes.Axes]] | \
+     tuple[Figure, dict[Hashable, matplotlib.axes.Axes]]:
+    """
+    Build a layout of Axes based on ASCII art or nested lists.
 
-    **Example:**
+    This is a helper function to build complex GridSpec layouts visually.
 
-    .. plot:: mpl_examples/subplots_axes_and_figures/subplot_demo.py
+    See :ref:`mosaic`
+    for an example and full API documentation
 
-    """
-    # if subplot called without arguments, create subplot(1,1,1)
-    if len(args)==0:
-        args=(1,1,1)
+    Parameters
+    ----------
+    mosaic : list of list of {hashable or nested} or str
 
-    # This check was added because it is very easy to type
-    # subplot(1, 2, False) when subplots(1, 2, False) was intended
-    # (sharex=False, that is). In most cases, no error will
-    # ever occur, but mysterious behavior can result because what was
-    # intended to be the sharex argument is instead treated as a
-    # subplot index for subplot()
-    if len(args) >= 3 and isinstance(args[2], bool) :
-        warnings.warn("The subplot index argument to subplot() appears"
-                      " to be a boolean. Did you intend to use subplots()?")
+        A visual layout of how you want your Axes to be arranged
+        labeled as strings.  For example ::
 
-    fig = gcf()
-    a = fig.add_subplot(*args, **kwargs)
-    bbox = a.bbox
-    byebye = []
-    for other in fig.axes:
-        if other==a: continue
-        if bbox.fully_overlaps(other.bbox):
-            byebye.append(other)
-    for ax in byebye: delaxes(ax)
+           x = [['A panel', 'A panel', 'edge'],
+                ['C panel', '.',       'edge']]
 
-    draw_if_interactive()
-    return a
+        produces 4 Axes:
 
+        - 'A panel' which is 1 row high and spans the first two columns
+        - 'edge' which is 2 rows high and is on the right edge
+        - 'C panel' which in 1 row and 1 column wide in the bottom left
+        - a blank space 1 row and 1 column wide in the bottom center
 
-def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
-                subplot_kw=None, gridspec_kw=None, **fig_kw):
-    """
-    Create a figure with a set of subplots already made.
+        Any of the entries in the layout can be a list of lists
+        of the same form to create nested layouts.
 
-    This utility wrapper makes it convenient to create common layouts of
-    subplots, including the enclosing figure object, in a single call.
+        If input is a str, then it must be of the form ::
 
-    Keyword arguments:
-
-      *nrows* : int
-        Number of rows of the subplot grid.  Defaults to 1.
-
-      *ncols* : int
-        Number of columns of the subplot grid.  Defaults to 1.
-
-      *sharex* : string or bool
-        If *True*, the X axis will be shared amongst all subplots.  If
-        *True* and you have multiple rows, the x tick labels on all but
-        the last row of plots will have visible set to *False*
-        If a string must be one of "row", "col", "all", or "none".
-        "all" has the same effect as *True*, "none" has the same effect
-        as *False*.
-        If "row", each subplot row will share a X axis.
-        If "col", each subplot column will share a X axis and the x tick
-        labels on all but the last row will have visible set to *False*.
-
-      *sharey* : string or bool
-        If *True*, the Y axis will be shared amongst all subplots. If
-        *True* and you have multiple columns, the y tick labels on all but
-        the first column of plots will have visible set to *False*
-        If a string must be one of "row", "col", "all", or "none".
-        "all" has the same effect as *True*, "none" has the same effect
-        as *False*.
-        If "row", each subplot row will share a Y axis and the y tick
-        labels on all but the first column will have visible set to *False*.
-        If "col", each subplot column will share a Y axis.
-
-      *squeeze* : bool
-        If *True*, extra dimensions are squeezed out from the
-        returned axis object:
-
-        - if only one subplot is constructed (nrows=ncols=1), the
-          resulting single Axis object is returned as a scalar.
-
-        - for Nx1 or 1xN subplots, the returned object is a 1-d numpy
-          object array of Axis objects are returned as numpy 1-d
-          arrays.
-
-        - for NxM subplots with N>1 and M>1 are returned as a 2d
-          array.
-
-        If *False*, no squeezing at all is done: the returned axis
-        object is always a 2-d array containing Axis instances, even if it
-        ends up being 1x1.
-
-      *subplot_kw* : dict
-        Dict with keywords passed to the
-        :meth:`~matplotlib.figure.Figure.add_subplot` call used to
-        create each subplots.
+          '''
+          AAE
+          C.E
+          '''
 
-      *gridspec_kw* : dict
-        Dict with keywords passed to the
-        :class:`~matplotlib.gridspec.GridSpec` constructor used to create
-        the grid the subplots are placed on.
+        where each character is a column and each line is a row.
+        This only allows only single character Axes labels and does
+        not allow nesting but is very terse.
 
-      *fig_kw* : dict
-        Dict with keywords passed to the :func:`figure` call.  Note that all
-        keywords not recognized above will be automatically included here.
+    sharex, sharey : bool, default: False
+        If True, the x-axis (*sharex*) or y-axis (*sharey*) will be shared
+        among all subplots.  In that case, tick label visibility and axis units
+        behave as for `subplots`.  If False, each subplot's x- or y-axis will
+        be independent.
 
-    Returns:
+    width_ratios : array-like of length *ncols*, optional
+        Defines the relative widths of the columns. Each column gets a
+        relative width of ``width_ratios[i] / sum(width_ratios)``.
+        If not given, all columns will have the same width.  Convenience
+        for ``gridspec_kw={'width_ratios': [...]}``.
 
-    fig, ax : tuple
+    height_ratios : array-like of length *nrows*, optional
+        Defines the relative heights of the rows. Each row gets a
+        relative height of ``height_ratios[i] / sum(height_ratios)``.
+        If not given, all rows will have the same height. Convenience
+        for ``gridspec_kw={'height_ratios': [...]}``.
 
-      - *fig* is the :class:`matplotlib.figure.Figure` object
+    empty_sentinel : object, optional
+        Entry in the layout to mean "leave this space empty".  Defaults
+        to ``'.'``. Note, if *layout* is a string, it is processed via
+        `inspect.cleandoc` to remove leading white space, which may
+        interfere with using white-space as the empty sentinel.
 
-      - *ax* can be either a single axis object or an array of axis
-        objects if more than one subplot was created.  The dimensions
-        of the resulting array can be controlled with the squeeze
-        keyword, see above.
+    subplot_kw : dict, optional
+        Dictionary with keywords passed to the `.Figure.add_subplot` call
+        used to create each subplot.  These values may be overridden by
+        values in *per_subplot_kw*.
 
-    Examples::
+    per_subplot_kw : dict, optional
+        A dictionary mapping the Axes identifiers or tuples of identifiers
+        to a dictionary of keyword arguments to be passed to the
+        `.Figure.add_subplot` call used to create each subplot.  The values
+        in these dictionaries have precedence over the values in
+        *subplot_kw*.
 
-        x = np.linspace(0, 2*np.pi, 400)
-        y = np.sin(x**2)
+        If *mosaic* is a string, and thus all keys are single characters,
+        it is possible to use a single string instead of a tuple as keys;
+        i.e. ``"AB"`` is equivalent to ``("A", "B")``.
 
-        # Just a figure and one subplot
-        f, ax = plt.subplots()
-        ax.plot(x, y)
-        ax.set_title('Simple plot')
+        .. versionadded:: 3.7
 
-        # Two subplots, unpack the output array immediately
-        f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
-        ax1.plot(x, y)
-        ax1.set_title('Sharing Y axis')
-        ax2.scatter(x, y)
+    gridspec_kw : dict, optional
+        Dictionary with keywords passed to the `.GridSpec` constructor used
+        to create the grid the subplots are placed on.
 
-        # Four polar axes
-        plt.subplots(2, 2, subplot_kw=dict(polar=True))
+    **fig_kw
+        All additional keyword arguments are passed to the
+        `.pyplot.figure` call.
 
-        # Share a X axis with each column of subplots
-        plt.subplots(2, 2, sharex='col')
+    Returns
+    -------
+    fig : `.Figure`
+       The new figure
 
-        # Share a Y axis with each row of subplots
-        plt.subplots(2, 2, sharey='row')
+    dict[label, Axes]
+       A dictionary mapping the labels to the Axes objects.  The order of
+       the Axes is left-to-right and top-to-bottom of their position in the
+       total layout.
 
-        # Share a X and Y axis with all subplots
-        plt.subplots(2, 2, sharex='all', sharey='all')
-        # same as
-        plt.subplots(2, 2, sharex=True, sharey=True)
     """
-    # for backwards compatibility
-    if isinstance(sharex, bool):
-        if sharex:
-            sharex = "all"
-        else:
-            sharex = "none"
-    if isinstance(sharey, bool):
-        if sharey:
-            sharey = "all"
-        else:
-            sharey = "none"
-    share_values = ["all", "row", "col", "none"]
-    if sharex not in share_values:
-        # This check was added because it is very easy to type subplots(1, 2, 1)
-        # when subplot(1, 2, 1) was intended. In most cases, no error will
-        # ever occur, but mysterious behavior will result because what was
-        # intended to be the subplot index is instead treated as a bool for
-        # sharex.
-        if isinstance(sharex, int):
-            warnings.warn("sharex argument to subplots() was an integer."
-                          " Did you intend to use subplot() (without 's')?")
-
-        raise ValueError("sharex [%s] must be one of %s" % \
-                (sharex, share_values))
-    if sharey not in share_values:
-        raise ValueError("sharey [%s] must be one of %s" % \
-                (sharey, share_values))
-    if subplot_kw is None:
-        subplot_kw = {}
-    if gridspec_kw is None:
-        gridspec_kw = {}
-
     fig = figure(**fig_kw)
-    gs = GridSpec(nrows, ncols, **gridspec_kw)
-
-    # Create empty object array to hold all axes.  It's easiest to make it 1-d
-    # so we can just append subplots upon creation, and then
-    nplots = nrows*ncols
-    axarr = np.empty(nplots, dtype=object)
-
-    # Create first subplot separately, so we can share it if requested
-    ax0 = fig.add_subplot(gs[0, 0], **subplot_kw)
-    #if sharex:
-    #    subplot_kw['sharex'] = ax0
-    #if sharey:
-    #    subplot_kw['sharey'] = ax0
-    axarr[0] = ax0
-
-    r, c = np.mgrid[:nrows, :ncols]
-    r = r.flatten() * ncols
-    c = c.flatten()
-    lookup = {
-            "none": np.arange(nplots),
-            "all": np.zeros(nplots, dtype=int),
-            "row": r,
-            "col": c,
-            }
-    sxs = lookup[sharex]
-    sys = lookup[sharey]
-
-    # Note off-by-one counting because add_subplot uses the MATLAB 1-based
-    # convention.
-    for i in range(1, nplots):
-        if sxs[i] == i:
-            subplot_kw['sharex'] = None
-        else:
-            subplot_kw['sharex'] = axarr[sxs[i]]
-        if sys[i] == i:
-            subplot_kw['sharey'] = None
-        else:
-            subplot_kw['sharey'] = axarr[sys[i]]
-        axarr[i] = fig.add_subplot(gs[i // ncols, i % ncols], **subplot_kw)
-
-    # returned axis array will be always 2-d, even if nrows=ncols=1
-    axarr = axarr.reshape(nrows, ncols)
-
-    # turn off redundant tick labeling
-    if sharex in ["col", "all"] and nrows > 1:
-    #if sharex and nrows>1:
-        # turn off all but the bottom row
-        for ax in axarr[:-1, :].flat:
-            for label in ax.get_xticklabels():
-                label.set_visible(False)
-            ax.xaxis.offsetText.set_visible(False)
-
-    if sharey in ["row", "all"] and ncols > 1:
-    #if sharey and ncols>1:
-        # turn off all but the first column
-        for ax in axarr[:, 1:].flat:
-            for label in ax.get_yticklabels():
-                label.set_visible(False)
-            ax.yaxis.offsetText.set_visible(False)
-
-    if squeeze:
-        # Reshape the array to have the final desired dimension (nrow,ncol),
-        # though discarding unneeded dimensions that equal 1.  If we only have
-        # one subplot, just return it instead of a 1-element array.
-        if nplots==1:
-            ret = fig, axarr[0,0]
-        else:
-            ret = fig, axarr.squeeze()
-    else:
-        # returned axis array will be always 2-d, even if nrows=ncols=1
-        ret = fig, axarr.reshape(nrows, ncols)
+    ax_dict = fig.subplot_mosaic(  # type: ignore[misc]
+        mosaic,  # type: ignore[arg-type]
+        sharex=sharex, sharey=sharey,
+        height_ratios=height_ratios, width_ratios=width_ratios,
+        subplot_kw=subplot_kw, gridspec_kw=gridspec_kw,
+        empty_sentinel=empty_sentinel,
+        per_subplot_kw=per_subplot_kw,  # type: ignore[arg-type]
+    )
+    return fig, ax_dict
+
+
+def subplot2grid(
+    shape: tuple[int, int], loc: tuple[int, int],
+    rowspan: int = 1, colspan: int = 1,
+    fig: Figure | None = None,
+    **kwargs
+) -> matplotlib.axes.Axes:
+    """
+    Create a subplot at a specific location inside a regular grid.
 
-    return ret
+    Parameters
+    ----------
+    shape : (int, int)
+        Number of rows and of columns of the grid in which to place axis.
+    loc : (int, int)
+        Row number and column number of the axis location within the grid.
+    rowspan : int, default: 1
+        Number of rows for the axis to span downwards.
+    colspan : int, default: 1
+        Number of columns for the axis to span to the right.
+    fig : `.Figure`, optional
+        Figure to place the subplot in. Defaults to the current figure.
+    **kwargs
+        Additional keyword arguments are handed to `~.Figure.add_subplot`.
+
+    Returns
+    -------
+    `~.axes.Axes`
 
+        The Axes of the subplot. The returned Axes can actually be an instance
+        of a subclass, such as `.projections.polar.PolarAxes` for polar
+        projections.
 
-def subplot2grid(shape, loc, rowspan=1, colspan=1, **kwargs):
-    """
-    Create a subplot in a grid.  The grid is specified by *shape*, at
-    location of *loc*, spanning *rowspan*, *colspan* cells in each
-    direction.  The index for loc is 0-based. ::
+    Notes
+    -----
+    The following call ::
 
-      subplot2grid(shape, loc, rowspan=1, colspan=1)
+        ax = subplot2grid((nrows, ncols), (row, col), rowspan, colspan)
 
     is identical to ::
 
-      gridspec=GridSpec(shape[0], shape[2])
-      subplotspec=gridspec.new_subplotspec(loc, rowspan, colspan)
-      subplot(subplotspec)
+        fig = gcf()
+        gs = fig.add_gridspec(nrows, ncols)
+        ax = fig.add_subplot(gs[row:row+rowspan, col:col+colspan])
     """
-
-    fig = gcf()
-    s1, s2 = shape
-    subplotspec = GridSpec(s1, s2).new_subplotspec(loc,
-                                                   rowspan=rowspan,
-                                                   colspan=colspan)
-    a = fig.add_subplot(subplotspec, **kwargs)
-    bbox = a.bbox
-    byebye = []
-    for other in fig.axes:
-        if other==a: continue
-        if bbox.fully_overlaps(other.bbox):
-            byebye.append(other)
-    for ax in byebye: delaxes(ax)
-
-    draw_if_interactive()
-    return a
+    if fig is None:
+        fig = gcf()
+    rows, cols = shape
+    gs = GridSpec._check_gridspec_exists(fig, rows, cols)
+    subplotspec = gs.new_subplotspec(loc, rowspan=rowspan, colspan=colspan)
+    return fig.add_subplot(subplotspec, **kwargs)
 
 
-def twinx(ax=None):
+def twinx(ax: matplotlib.axes.Axes | None = None) -> _AxesBase:
     """
-    Make a second axes that shares the *x*-axis.  The new axes will
-    overlay *ax* (or the current axes if *ax* is *None*).  The ticks
-    for *ax2* will be placed on the right, and the *ax2* instance is
-    returned.
-
-    .. seealso::
+    Make and return a second Axes that shares the *x*-axis.  The new Axes will
+    overlay *ax* (or the current Axes if *ax* is *None*), and its ticks will be
+    on the right.
 
-       :file:`examples/api_examples/two_scales.py`
-          For an example
+    Examples
+    --------
+    :doc:`/gallery/subplots_axes_and_figures/two_scales`
     """
     if ax is None:
-        ax=gca()
+        ax = gca()
     ax1 = ax.twinx()
-    draw_if_interactive()
     return ax1
 
 
-def twiny(ax=None):
+def twiny(ax: matplotlib.axes.Axes | None = None) -> _AxesBase:
     """
-    Make a second axes that shares the *y*-axis.  The new axis will
-    overlay *ax* (or the current axes if *ax* is *None*).  The ticks
-    for *ax2* will be placed on the top, and the *ax2* instance is
-    returned.
+    Make and return a second Axes that shares the *y*-axis.  The new Axes will
+    overlay *ax* (or the current Axes if *ax* is *None*), and its ticks will be
+    on the top.
+
+    Examples
+    --------
+    :doc:`/gallery/subplots_axes_and_figures/two_scales`
     """
     if ax is None:
-        ax=gca()
+        ax = gca()
     ax1 = ax.twiny()
-    draw_if_interactive()
     return ax1
 
 
-def subplots_adjust(*args, **kwargs):
-    """
-    Tune the subplot layout.
-
-    call signature::
-
-      subplots_adjust(left=None, bottom=None, right=None, top=None,
-                      wspace=None, hspace=None)
-
-    The parameter meanings (and suggested defaults) are::
-
-      left  = 0.125  # the left side of the subplots of the figure
-      right = 0.9    # the right side of the subplots of the figure
-      bottom = 0.1   # the bottom of the subplots of the figure
-      top = 0.9      # the top of the subplots of the figure
-      wspace = 0.2   # the amount of width reserved for blank space between subplots
-      hspace = 0.2   # the amount of height reserved for white space between subplots
-
-    The actual defaults are controlled by the rc file
-    """
-    fig = gcf()
-    fig.subplots_adjust(*args, **kwargs)
-    draw_if_interactive()
-
-
-def subplot_tool(targetfig=None):
+def subplot_tool(targetfig: Figure | None = None) -> SubplotTool | None:
     """
     Launch a subplot tool window for a figure.
 
-    A :class:`matplotlib.widgets.SubplotTool` instance is returned.
+    Returns
+    -------
+    `matplotlib.widgets.SubplotTool`
     """
-    tbar = rcParams['toolbar'] # turn off the navigation toolbar for the toolfig
-    rcParams['toolbar'] = 'None'
     if targetfig is None:
-        manager = get_current_fig_manager()
-        targetfig = manager.canvas.figure
+        targetfig = gcf()
+    tb = targetfig.canvas.manager.toolbar  # type: ignore[union-attr]
+    if hasattr(tb, "configure_subplots"):  # toolbar2
+        from matplotlib.backend_bases import NavigationToolbar2
+        return cast(NavigationToolbar2, tb).configure_subplots()
+    elif hasattr(tb, "trigger_tool"):  # toolmanager
+        from matplotlib.backend_bases import ToolContainerBase
+        cast(ToolContainerBase, tb).trigger_tool("subplots")
+        return None
     else:
-        # find the manager for this figure
-        for manager in _pylab_helpers.Gcf._activeQue:
-            if manager.canvas.figure==targetfig: break
-        else: raise RuntimeError('Could not find manager for targetfig')
-
-    toolfig = figure(figsize=(6,3))
-    toolfig.subplots_adjust(top=0.9)
-    ret =  SubplotTool(targetfig, toolfig)
-    rcParams['toolbar'] = tbar
-    _pylab_helpers.Gcf.set_active(manager)  # restore the current figure
-    return ret
-
+        raise ValueError("subplot_tool can only be launched for figures with "
+                         "an associated toolbar")
 
-def tight_layout(pad=1.08, h_pad=None, w_pad=None, rect=None):
-    """
-    Automatically adjust subplot parameters to give specified padding.
-
-    Parameters:
 
-    pad : float
-        padding between the figure edge and the edges of subplots, as a fraction of the font-size.
-    h_pad, w_pad : float
-        padding (height/width) between edges of adjacent subplots.
-        Defaults to `pad_inches`.
-    rect : if rect is given, it is interpreted as a rectangle
-        (left, bottom, right, top) in the normalized figure
-        coordinate that the whole subplots area (including
-        labels) will fit into. Default is (0, 0, 1, 1).
+def box(on: bool | None = None) -> None:
     """
+    Turn the Axes box on or off on the current Axes.
 
-    fig = gcf()
-    fig.tight_layout(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
-    draw_if_interactive()
-
-
-def box(on=None):
-    """
-    Turn the axes box on or off.  *on* may be a boolean or a string,
-    'on' or 'off'.
+    Parameters
+    ----------
+    on : bool or None
+        The new `~matplotlib.axes.Axes` box state. If ``None``, toggle
+        the state.
 
-    If *on* is *None*, toggle state.
+    See Also
+    --------
+    :meth:`matplotlib.axes.Axes.set_frame_on`
+    :meth:`matplotlib.axes.Axes.get_frame_on`
     """
     ax = gca()
-    on = _string_to_bool(on)
     if on is None:
         on = not ax.get_frame_on()
     ax.set_frame_on(on)
-    draw_if_interactive()
 
+## Axis ##
 
-def title(s, *args, **kwargs):
-    """
-    Set a title of the current axes.
 
-    Set one of the three available axes titles. The available titles are
-    positioned above the axes in the center, flush with the left edge,
-    and flush with the right edge.
+def xlim(*args, **kwargs) -> tuple[float, float]:
+    """
+    Get or set the x limits of the current Axes.
 
-    .. seealso::
-        See :func:`~matplotlib.pyplot.text` for adding text
-        to the current axes
+    Call signatures::
 
-    Parameters
-    ----------
-    label : str
-        Text to use for the title
+        left, right = xlim()  # return the current xlim
+        xlim((left, right))   # set the xlim to left, right
+        xlim(left, right)     # set the xlim to left, right
 
-    fontdict : dict
-        A dictionary controlling the appearance of the title text,
-        the default `fontdict` is:
+    If you do not specify args, you can pass *left* or *right* as kwargs,
+    i.e.::
 
-            {'fontsize': rcParams['axes.titlesize'],
-            'fontweight' : rcParams['axes.titleweight'],
-            'verticalalignment': 'baseline',
-            'horizontalalignment': loc}
+        xlim(right=3)  # adjust the right leaving left unchanged
+        xlim(left=1)  # adjust the left leaving right unchanged
 
-    loc : {'center', 'left', 'right'}, str, optional
-        Which title to set, defaults to 'center'
+    Setting limits turns autoscaling off for the x-axis.
 
     Returns
     -------
-    text : :class:`~matplotlib.text.Text`
-        The matplotlib text instance representing the title
-
-    Other parameters
-    ----------------
-    kwargs : text properties
-        Other keyword arguments are text properties, see
-        :class:`~matplotlib.text.Text` for a list of valid text
-        properties.
+    left, right
+        A tuple of the new x-axis limits.
 
+    Notes
+    -----
+    Calling this function with no arguments (e.g. ``xlim()``) is the pyplot
+    equivalent of calling `~.Axes.get_xlim` on the current Axes.
+    Calling this function with arguments is the pyplot equivalent of calling
+    `~.Axes.set_xlim` on the current Axes. All arguments are passed though.
     """
-    l =  gca().set_title(s, *args, **kwargs)
-    draw_if_interactive()
-    return l
-
-## Axis ##
+    ax = gca()
+    if not args and not kwargs:
+        return ax.get_xlim()
+    ret = ax.set_xlim(*args, **kwargs)
+    return ret
 
 
-def axis(*v, **kwargs):
+def ylim(*args, **kwargs) -> tuple[float, float]:
     """
-    Convenience method to get or set axis properties.
+    Get or set the y-limits of the current Axes.
 
-    Calling with no arguments::
+    Call signatures::
 
-      >>> axis()
+        bottom, top = ylim()  # return the current ylim
+        ylim((bottom, top))   # set the ylim to bottom, top
+        ylim(bottom, top)     # set the ylim to bottom, top
 
-    returns the current axes limits ``[xmin, xmax, ymin, ymax]``.::
+    If you do not specify args, you can alternatively pass *bottom* or
+    *top* as kwargs, i.e.::
 
-      >>> axis(v)
+        ylim(top=3)  # adjust the top leaving bottom unchanged
+        ylim(bottom=1)  # adjust the bottom leaving top unchanged
 
-    sets the min and max of the x and y axes, with
-    ``v = [xmin, xmax, ymin, ymax]``.::
-
-      >>> axis('off')
+    Setting limits turns autoscaling off for the y-axis.
 
-    turns off the axis lines and labels.::
+    Returns
+    -------
+    bottom, top
+        A tuple of the new y-axis limits.
 
-      >>> axis('equal')
+    Notes
+    -----
+    Calling this function with no arguments (e.g. ``ylim()``) is the pyplot
+    equivalent of calling `~.Axes.get_ylim` on the current Axes.
+    Calling this function with arguments is the pyplot equivalent of calling
+    `~.Axes.set_ylim` on the current Axes. All arguments are passed though.
+    """
+    ax = gca()
+    if not args and not kwargs:
+        return ax.get_ylim()
+    ret = ax.set_ylim(*args, **kwargs)
+    return ret
 
-    changes limits of *x* or *y* axis so that equal increments of *x*
-    and *y* have the same length; a circle is circular.::
 
-      >>> axis('scaled')
+def xticks(
+    ticks: ArrayLike | None = None,
+    labels: Sequence[str] | None = None,
+    *,
+    minor: bool = False,
+    **kwargs
+) -> tuple[list[Tick] | np.ndarray, list[Text]]:
+    """
+    Get or set the current tick locations and labels of the x-axis.
 
-    achieves the same result by changing the dimensions of the plot box instead
-    of the axis data limits.::
+    Pass no arguments to return the current values without modifying them.
 
-      >>> axis('tight')
+    Parameters
+    ----------
+    ticks : array-like, optional
+        The list of xtick locations.  Passing an empty list removes all xticks.
+    labels : array-like, optional
+        The labels to place at the given *ticks* locations.  This argument can
+        only be passed if *ticks* is passed as well.
+    minor : bool, default: False
+        If ``False``, get/set the major ticks/labels; if ``True``, the minor
+        ticks/labels.
+    **kwargs
+        `.Text` properties can be used to control the appearance of the labels.
 
-    changes *x* and *y* axis limits such that all data is shown. If
-    all data is already shown, it will move it to the center of the
-    figure without modifying (*xmax* - *xmin*) or (*ymax* -
-    *ymin*). Note this is slightly different than in MATLAB.::
+        .. warning::
 
-      >>> axis('image')
+            This only sets the properties of the current ticks, which is
+            only sufficient if you either pass *ticks*, resulting in a
+            fixed list of ticks, or if the plot is static.
 
-    is 'scaled' with the axis limits equal to the data limits.::
+            Ticks are not guaranteed to be persistent. Various operations
+            can create, delete and modify the Tick instances. There is an
+            imminent risk that these settings can get lost if you work on
+            the figure further (including also panning/zooming on a
+            displayed figure).
 
-      >>> axis('auto')
+            Use `~.pyplot.tick_params` instead if possible.
 
-    and::
 
-      >>> axis('normal')
+    Returns
+    -------
+    locs
+        The list of xtick locations.
+    labels
+        The list of xlabel `.Text` objects.
 
-    are deprecated. They restore default behavior; axis limits are automatically
-    scaled to make the data fit comfortably within the plot box.
+    Notes
+    -----
+    Calling this function with no arguments (e.g. ``xticks()``) is the pyplot
+    equivalent of calling `~.Axes.get_xticks` and `~.Axes.get_xticklabels` on
+    the current Axes.
+    Calling this function with arguments is the pyplot equivalent of calling
+    `~.Axes.set_xticks` and `~.Axes.set_xticklabels` on the current Axes.
 
-    if ``len(*v)==0``, you can pass in *xmin*, *xmax*, *ymin*, *ymax*
-    as kwargs selectively to alter just those limits without changing
-    the others.
+    Examples
+    --------
+    >>> locs, labels = xticks()  # Get the current locations and labels.
+    >>> xticks(np.arange(0, 1, step=0.2))  # Set label locations.
+    >>> xticks(np.arange(3), ['Tom', 'Dick', 'Sue'])  # Set text labels.
+    >>> xticks([0, 1, 2], ['January', 'February', 'March'],
+    ...        rotation=20)  # Set text labels and properties.
+    >>> xticks([])  # Disable xticks.
+    """
+    ax = gca()
 
-    The xmin, xmax, ymin, ymax tuple is returned
+    locs: list[Tick] | np.ndarray
+    if ticks is None:
+        locs = ax.get_xticks(minor=minor)
+        if labels is not None:
+            raise TypeError("xticks(): Parameter 'labels' can't be set "
+                            "without setting 'ticks'")
+    else:
+        locs = ax.set_xticks(ticks, minor=minor)
 
-    .. seealso::
+    labels_out: list[Text] = []
+    if labels is None:
+        labels_out = ax.get_xticklabels(minor=minor)
+        for l in labels_out:
+            l._internal_update(kwargs)
+    else:
+        labels_out = ax.set_xticklabels(labels, minor=minor, **kwargs)
 
-        :func:`xlim`, :func:`ylim`
-           For setting the x- and y-limits individually.
-    """
-    ax = gca()
-    v = ax.axis(*v, **kwargs)
-    draw_if_interactive()
-    return v
+    return locs, labels_out
 
 
-def xlabel(s, *args, **kwargs):
+def yticks(
+    ticks: ArrayLike | None = None,
+    labels: Sequence[str] | None = None,
+    *,
+    minor: bool = False,
+    **kwargs
+) -> tuple[list[Tick] | np.ndarray, list[Text]]:
     """
-    Set the *x* axis label of the current axis.
-
-    Default override is::
+    Get or set the current tick locations and labels of the y-axis.
 
-      override = {
-          'fontsize'            : 'small',
-          'verticalalignment'   : 'top',
-          'horizontalalignment' : 'center'
-          }
+    Pass no arguments to return the current values without modifying them.
 
-    .. seealso::
+    Parameters
+    ----------
+    ticks : array-like, optional
+        The list of ytick locations.  Passing an empty list removes all yticks.
+    labels : array-like, optional
+        The labels to place at the given *ticks* locations.  This argument can
+        only be passed if *ticks* is passed as well.
+    minor : bool, default: False
+        If ``False``, get/set the major ticks/labels; if ``True``, the minor
+        ticks/labels.
+    **kwargs
+        `.Text` properties can be used to control the appearance of the labels.
+
+        .. warning::
+
+            This only sets the properties of the current ticks, which is
+            only sufficient if you either pass *ticks*, resulting in a
+            fixed list of ticks, or if the plot is static.
+
+            Ticks are not guaranteed to be persistent. Various operations
+            can create, delete and modify the Tick instances. There is an
+            imminent risk that these settings can get lost if you work on
+            the figure further (including also panning/zooming on a
+            displayed figure).
+
+            Use `~.pyplot.tick_params` instead if possible.
 
-        :func:`~matplotlib.pyplot.text`
-            For information on how override and the optional args work
-    """
-    l =  gca().set_xlabel(s, *args, **kwargs)
-    draw_if_interactive()
-    return l
+    Returns
+    -------
+    locs
+        The list of ytick locations.
+    labels
+        The list of ylabel `.Text` objects.
 
+    Notes
+    -----
+    Calling this function with no arguments (e.g. ``yticks()``) is the pyplot
+    equivalent of calling `~.Axes.get_yticks` and `~.Axes.get_yticklabels` on
+    the current Axes.
+    Calling this function with arguments is the pyplot equivalent of calling
+    `~.Axes.set_yticks` and `~.Axes.set_yticklabels` on the current Axes.
 
-def ylabel(s, *args, **kwargs):
+    Examples
+    --------
+    >>> locs, labels = yticks()  # Get the current locations and labels.
+    >>> yticks(np.arange(0, 1, step=0.2))  # Set label locations.
+    >>> yticks(np.arange(3), ['Tom', 'Dick', 'Sue'])  # Set text labels.
+    >>> yticks([0, 1, 2], ['January', 'February', 'March'],
+    ...        rotation=45)  # Set text labels and properties.
+    >>> yticks([])  # Disable yticks.
     """
-    Set the *y* axis label of the current axis.
-
-    Defaults override is::
+    ax = gca()
 
-        override = {
-           'fontsize'            : 'small',
-           'verticalalignment'   : 'center',
-           'horizontalalignment' : 'right',
-           'rotation'='vertical' : }
+    locs: list[Tick] | np.ndarray
+    if ticks is None:
+        locs = ax.get_yticks(minor=minor)
+        if labels is not None:
+            raise TypeError("yticks(): Parameter 'labels' can't be set "
+                            "without setting 'ticks'")
+    else:
+        locs = ax.set_yticks(ticks, minor=minor)
 
-    .. seealso::
+    labels_out: list[Text] = []
+    if labels is None:
+        labels_out = ax.get_yticklabels(minor=minor)
+        for l in labels_out:
+            l._internal_update(kwargs)
+    else:
+        labels_out = ax.set_yticklabels(labels, minor=minor, **kwargs)
 
-        :func:`~matplotlib.pyplot.text`
-            For information on how override and the optional args
-            work.
-    """
-    l = gca().set_ylabel(s, *args, **kwargs)
-    draw_if_interactive()
-    return l
+    return locs, labels_out
 
 
-def xlim(*args, **kwargs):
+def rgrids(
+    radii: ArrayLike | None = None,
+    labels: Sequence[str | Text] | None = None,
+    angle: float | None = None,
+    fmt: str | None = None,
+    **kwargs
+) -> tuple[list[Line2D], list[Text]]:
     """
-    Get or set the *x* limits of the current axes.
-
-    ::
+    Get or set the radial gridlines on the current polar plot.
 
-      xmin, xmax = xlim()   # return the current xlim
-      xlim( (xmin, xmax) )  # set the xlim to xmin, xmax
-      xlim( xmin, xmax )    # set the xlim to xmin, xmax
+    Call signatures::
 
-    If you do not specify args, you can pass the xmin and xmax as
-    kwargs, e.g.::
+     lines, labels = rgrids()
+     lines, labels = rgrids(radii, labels=None, angle=22.5, fmt=None, **kwargs)
 
-      xlim(xmax=3) # adjust the max leaving min unchanged
-      xlim(xmin=1) # adjust the min leaving max unchanged
+    When called with no arguments, `.rgrids` simply returns the tuple
+    (*lines*, *labels*). When called with arguments, the labels will
+    appear at the specified radial distances and angle.
 
-    Setting limits turns autoscaling off for the x-axis.
+    Parameters
+    ----------
+    radii : tuple with floats
+        The radii for the radial gridlines
 
-    The new axis limits are returned as a length 2 tuple.
+    labels : tuple with strings or None
+        The labels to use at each radial gridline. The
+        `matplotlib.ticker.ScalarFormatter` will be used if None.
 
-    """
-    ax = gca()
-    if not args and not kwargs:
-        return ax.get_xlim()
-    ret = ax.set_xlim(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+    angle : float
+        The angular position of the radius labels in degrees.
 
+    fmt : str or None
+        Format string used in `matplotlib.ticker.FormatStrFormatter`.
+        For example '%f'.
 
-def ylim(*args, **kwargs):
-    """
-    Get or set the *y*-limits of the current axes.
+    Returns
+    -------
+    lines : list of `.lines.Line2D`
+        The radial gridlines.
 
-    ::
+    labels : list of `.text.Text`
+        The tick labels.
 
-      ymin, ymax = ylim()   # return the current ylim
-      ylim( (ymin, ymax) )  # set the ylim to ymin, ymax
-      ylim( ymin, ymax )    # set the ylim to ymin, ymax
+    Other Parameters
+    ----------------
+    **kwargs
+        *kwargs* are optional `.Text` properties for the labels.
 
-    If you do not specify args, you can pass the *ymin* and *ymax* as
-    kwargs, e.g.::
+    See Also
+    --------
+    .pyplot.thetagrids
+    .projections.polar.PolarAxes.set_rgrids
+    .Axis.get_gridlines
+    .Axis.get_ticklabels
 
-      ylim(ymax=3) # adjust the max leaving min unchanged
-      ylim(ymin=1) # adjust the min leaving max unchanged
+    Examples
+    --------
+    ::
 
-    Setting limits turns autoscaling off for the y-axis.
+      # set the locations of the radial gridlines
+      lines, labels = rgrids( (0.25, 0.5, 1.0) )
 
-    The new axis limits are returned as a length 2 tuple.
+      # set the locations and labels of the radial gridlines
+      lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' ))
     """
     ax = gca()
-    if not args and not kwargs:
-        return ax.get_ylim()
-    ret = ax.set_ylim(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+    if not isinstance(ax, PolarAxes):
+        raise RuntimeError('rgrids only defined for polar Axes')
+    if all(p is None for p in [radii, labels, angle, fmt]) and not kwargs:
+        lines_out: list[Line2D] = ax.yaxis.get_gridlines()
+        labels_out: list[Text] = ax.yaxis.get_ticklabels()
+    elif radii is None:
+        raise TypeError("'radii' cannot be None when other parameters are passed")
+    else:
+        lines_out, labels_out = ax.set_rgrids(
+            radii, labels=labels, angle=angle, fmt=fmt, **kwargs)
+    return lines_out, labels_out
 
 
-@docstring.dedent_interpd
-def xscale(*args, **kwargs):
+def thetagrids(
+    angles: ArrayLike | None = None,
+    labels: Sequence[str | Text] | None = None,
+    fmt: str | None = None,
+    **kwargs
+) -> tuple[list[Line2D], list[Text]]:
     """
-    Set the scaling of the *x*-axis.
+    Get or set the theta gridlines on the current polar plot.
 
-    call signature::
+    Call signatures::
 
-      xscale(scale, **kwargs)
+     lines, labels = thetagrids()
+     lines, labels = thetagrids(angles, labels=None, fmt=None, **kwargs)
 
-    The available scales are: %(scale)s
+    When called with no arguments, `.thetagrids` simply returns the tuple
+    (*lines*, *labels*). When called with arguments, the labels will
+    appear at the specified angles.
 
-    Different keywords may be accepted, depending on the scale:
+    Parameters
+    ----------
+    angles : tuple with floats, degrees
+        The angles of the theta gridlines.
 
-    %(scale_docs)s
-    """
-    ax = gca()
-    ax.set_xscale(*args, **kwargs)
-    draw_if_interactive()
+    labels : tuple with strings or None
+        The labels to use at each radial gridline. The
+        `.projections.polar.ThetaFormatter` will be used if None.
 
+    fmt : str or None
+        Format string used in `matplotlib.ticker.FormatStrFormatter`.
+        For example '%f'. Note that the angle in radians will be used.
 
-@docstring.dedent_interpd
-def yscale(*args, **kwargs):
-    """
-    Set the scaling of the *y*-axis.
+    Returns
+    -------
+    lines : list of `.lines.Line2D`
+        The theta gridlines.
 
-    call signature::
+    labels : list of `.text.Text`
+        The tick labels.
 
-      yscale(scale, **kwargs)
+    Other Parameters
+    ----------------
+    **kwargs
+        *kwargs* are optional `.Text` properties for the labels.
+
+    See Also
+    --------
+    .pyplot.rgrids
+    .projections.polar.PolarAxes.set_thetagrids
+    .Axis.get_gridlines
+    .Axis.get_ticklabels
 
-    The available scales are: %(scale)s
+    Examples
+    --------
+    ::
 
-    Different keywords may be accepted, depending on the scale:
+      # set the locations of the angular gridlines
+      lines, labels = thetagrids(range(45, 360, 90))
 
-    %(scale_docs)s
+      # set the locations and labels of the angular gridlines
+      lines, labels = thetagrids(range(45, 360, 90), ('NE', 'NW', 'SW', 'SE'))
     """
     ax = gca()
-    ax.set_yscale(*args, **kwargs)
-    draw_if_interactive()
+    if not isinstance(ax, PolarAxes):
+        raise RuntimeError('thetagrids only defined for polar Axes')
+    if all(param is None for param in [angles, labels, fmt]) and not kwargs:
+        lines_out: list[Line2D] = ax.xaxis.get_ticklines()
+        labels_out: list[Text] = ax.xaxis.get_ticklabels()
+    elif angles is None:
+        raise TypeError("'angles' cannot be None when other parameters are passed")
+    else:
+        lines_out, labels_out = ax.set_thetagrids(angles,
+                                                  labels=labels, fmt=fmt,
+                                                  **kwargs)
+    return lines_out, labels_out
 
 
-def xticks(*args, **kwargs):
+@_api.deprecated("3.7", pending=True)
+def get_plot_commands() -> list[str]:
+    """
+    Get a sorted list of all of the plotting commands.
     """
-    Get or set the *x*-limits of the current tick locations and labels.
+    NON_PLOT_COMMANDS = {
+        'connect', 'disconnect', 'get_current_fig_manager', 'ginput',
+        'new_figure_manager', 'waitforbuttonpress'}
+    return [name for name in _get_pyplot_commands()
+            if name not in NON_PLOT_COMMANDS]
+
+
+def _get_pyplot_commands() -> list[str]:
+    # This works by searching for all functions in this module and removing
+    # a few hard-coded exclusions, as well as all of the colormap-setting
+    # functions, and anything marked as private with a preceding underscore.
+    exclude = {'colormaps', 'colors', 'get_plot_commands', *colormaps}
+    this_module = inspect.getmodule(get_plot_commands)
+    return sorted(
+        name for name, obj in globals().items()
+        if not name.startswith('_') and name not in exclude
+           and inspect.isfunction(obj)
+           and inspect.getmodule(obj) is this_module)
 
-    ::
 
-      # return locs, labels where locs is an array of tick locations and
-      # labels is an array of tick labels.
-      locs, labels = xticks()
+## Plotting part 1: manually generated functions and wrappers ##
 
-      # set the locations of the xticks
-      xticks( arange(6) )
 
-      # set the locations and labels of the xticks
-      xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
+@_copy_docstring_and_deprecators(Figure.colorbar)
+def colorbar(
+    mappable: ScalarMappable | ColorizingArtist | None = None,
+    cax: matplotlib.axes.Axes | None = None,
+    ax: matplotlib.axes.Axes | Iterable[matplotlib.axes.Axes] | None = None,
+    **kwargs
+) -> Colorbar:
+    if mappable is None:
+        mappable = gci()
+        if mappable is None:
+            raise RuntimeError('No mappable was found to use for colorbar '
+                               'creation. First define a mappable such as '
+                               'an image (with imshow) or a contour set ('
+                               'with contourf).')
+    ret = gcf().colorbar(mappable, cax=cax, ax=ax, **kwargs)
+    return ret
 
-    The keyword args, if any, are :class:`~matplotlib.text.Text`
-    properties. For example, to rotate long labels::
 
-      xticks( arange(12), calendar.month_name[1:13], rotation=17 )
+def clim(vmin: float | None = None, vmax: float | None = None) -> None:
     """
-    ax = gca()
+    Set the color limits of the current image.
 
-    if len(args)==0:
-        locs = ax.get_xticks()
-        labels = ax.get_xticklabels()
-    elif len(args)==1:
-        locs = ax.set_xticks(args[0])
-        labels = ax.get_xticklabels()
-    elif len(args)==2:
-        locs = ax.set_xticks(args[0])
-        labels = ax.set_xticklabels(args[1], **kwargs)
-    else: raise TypeError('Illegal number of arguments to xticks')
-    if len(kwargs):
-        for l in labels:
-            l.update(kwargs)
+    If either *vmin* or *vmax* is None, the image min/max respectively
+    will be used for color scaling.
 
-    draw_if_interactive()
-    return locs, silent_list('Text xticklabel', labels)
+    If you want to set the clim of multiple images, use
+    `~.ScalarMappable.set_clim` on every image, for example::
 
+      for im in gca().get_images():
+          im.set_clim(0, 0.5)
 
-def yticks(*args, **kwargs):
     """
-    Get or set the *y*-limits of the current tick locations and labels.
+    im = gci()
+    if im is None:
+        raise RuntimeError('You must first define an image, e.g., with imshow')
 
-    ::
+    im.set_clim(vmin, vmax)
 
-      # return locs, labels where locs is an array of tick locations and
-      # labels is an array of tick labels.
-      locs, labels = yticks()
 
-      # set the locations of the yticks
-      yticks( arange(6) )
-
-      # set the locations and labels of the yticks
-      yticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
-
-    The keyword args, if any, are :class:`~matplotlib.text.Text`
-    properties. For example, to rotate long labels::
-
-      yticks( arange(12), calendar.month_name[1:13], rotation=45 )
+def get_cmap(name: Colormap | str | None = None, lut: int | None = None) -> Colormap:
     """
-    ax = gca()
-
-    if len(args)==0:
-        locs = ax.get_yticks()
-        labels = ax.get_yticklabels()
-    elif len(args)==1:
-        locs = ax.set_yticks(args[0])
-        labels = ax.get_yticklabels()
-    elif len(args)==2:
-        locs = ax.set_yticks(args[0])
-        labels = ax.set_yticklabels(args[1], **kwargs)
-    else: raise TypeError('Illegal number of arguments to yticks')
-    if len(kwargs):
-        for l in labels:
-            l.update(kwargs)
-
-    draw_if_interactive()
-
-    return ( locs,
-             silent_list('Text yticklabel', labels)
-             )
-
+    Get a colormap instance, defaulting to rc values if *name* is None.
 
-def minorticks_on():
-    """
-    Display minor ticks on the current plot.
+    Parameters
+    ----------
+    name : `~matplotlib.colors.Colormap` or str or None, default: None
+        If a `.Colormap` instance, it will be returned. Otherwise, the name of
+        a colormap known to Matplotlib, which will be resampled by *lut*. The
+        default, None, means :rc:`image.cmap`.
+    lut : int or None, default: None
+        If *name* is not already a Colormap instance and *lut* is not None, the
+        colormap will be resampled to have *lut* entries in the lookup table.
 
-    Displaying minor ticks reduces performance; turn them off using
-    minorticks_off() if drawing speed is a problem.
+    Returns
+    -------
+    Colormap
     """
-    gca().minorticks_on()
-    draw_if_interactive()
+    if name is None:
+        name = rcParams['image.cmap']
+    if isinstance(name, Colormap):
+        return name
+    _api.check_in_list(sorted(_colormaps), name=name)
+    if lut is None:
+        return _colormaps[name]
+    else:
+        return _colormaps[name].resampled(lut)
 
 
-def minorticks_off():
-    """
-    Remove minor ticks from the current plot.
+def set_cmap(cmap: Colormap | str) -> None:
     """
-    gca().minorticks_off()
-    draw_if_interactive()
+    Set the default colormap, and applies it to the current image if any.
 
+    Parameters
+    ----------
+    cmap : `~matplotlib.colors.Colormap` or str
+        A colormap instance or the name of a registered colormap.
 
-def rgrids(*args, **kwargs):
+    See Also
+    --------
+    colormaps
+    get_cmap
     """
-    Get or set the radial gridlines on a polar plot.
-
-    call signatures::
-
-      lines, labels = rgrids()
-      lines, labels = rgrids(radii, labels=None, angle=22.5, **kwargs)
-
-    When called with no arguments, :func:`rgrid` simply returns the
-    tuple (*lines*, *labels*), where *lines* is an array of radial
-    gridlines (:class:`~matplotlib.lines.Line2D` instances) and
-    *labels* is an array of tick labels
-    (:class:`~matplotlib.text.Text` instances). When called with
-    arguments, the labels will appear at the specified radial
-    distances and angles.
+    cmap = get_cmap(cmap)
 
-    *labels*, if not *None*, is a len(*radii*) list of strings of the
-    labels to use at each angle.
-
-    If *labels* is None, the rformatter will be used
+    rc('image', cmap=cmap.name)
+    im = gci()
 
-    Examples::
+    if im is not None:
+        im.set_cmap(cmap)
 
-      # set the locations of the radial gridlines and labels
-      lines, labels = rgrids( (0.25, 0.5, 1.0) )
 
-      # set the locations and labels of the radial gridlines and labels
-      lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' )
+@_copy_docstring_and_deprecators(matplotlib.image.imread)
+def imread(
+        fname: str | pathlib.Path | BinaryIO, format: str | None = None
+) -> np.ndarray:
+    return matplotlib.image.imread(fname, format)
 
-    """
-    ax = gca()
-    if not isinstance(ax, PolarAxes):
-        raise RuntimeError('rgrids only defined for polar axes')
-    if len(args)==0:
-        lines = ax.yaxis.get_gridlines()
-        labels = ax.yaxis.get_ticklabels()
-    else:
-        lines, labels = ax.set_rgrids(*args, **kwargs)
 
-    draw_if_interactive()
-    return ( silent_list('Line2D rgridline', lines),
-             silent_list('Text rgridlabel', labels) )
+@_copy_docstring_and_deprecators(matplotlib.image.imsave)
+def imsave(
+    fname: str | os.PathLike | BinaryIO, arr: ArrayLike, **kwargs
+) -> None:
+    matplotlib.image.imsave(fname, arr, **kwargs)
 
 
-def thetagrids(*args, **kwargs):
+def matshow(A: ArrayLike, fignum: None | int = None, **kwargs) -> AxesImage:
     """
-    Get or set the theta locations of the gridlines in a polar plot.
-
-    If no arguments are passed, return a tuple (*lines*, *labels*)
-    where *lines* is an array of radial gridlines
-    (:class:`~matplotlib.lines.Line2D` instances) and *labels* is an
-    array of tick labels (:class:`~matplotlib.text.Text` instances)::
-
-      lines, labels = thetagrids()
+    Display a 2D array as a matrix in a new figure window.
 
-    Otherwise the syntax is::
+    The origin is set at the upper left hand corner.
+    The indexing is ``(row, column)`` so that the first index runs vertically
+    and the second index runs horizontally in the figure:
 
-      lines, labels = thetagrids(angles, labels=None, fmt='%d', frac = 1.1)
+    .. code-block:: none
 
-    set the angles at which to place the theta grids (these gridlines
-    are equal along the theta dimension).
+        A[0, 0]   ⋯ A[0, M-1]
+           â‹®             â‹®
+        A[N-1, 0] ⋯ A[N-1, M-1]
 
-    *angles* is in degrees.
+    The aspect ratio of the figure window is that of the array,
+    unless this would make an excessively short or narrow figure.
 
-    *labels*, if not *None*, is a len(angles) list of strings of the
-    labels to use at each angle.
-
-    If *labels* is *None*, the labels will be ``fmt%angle``.
-
-    *frac* is the fraction of the polar axes radius at which to place
-    the label (1 is the edge). e.g., 1.05 is outside the axes and 0.95
-    is inside the axes.
+    Tick labels for the xaxis are placed on top.
 
-    Return value is a list of tuples (*lines*, *labels*):
+    Parameters
+    ----------
+    A : 2D array-like
+        The matrix to be displayed.
 
-      - *lines* are :class:`~matplotlib.lines.Line2D` instances
+    fignum : None or int
+        If *None*, create a new, appropriately sized figure window.
 
-      - *labels* are :class:`~matplotlib.text.Text` instances.
+        If 0, use the current Axes (creating one if there is none, without ever
+        adjusting the figure size).
 
-    Note that on input, the *labels* argument is a list of strings,
-    and on output it is a list of :class:`~matplotlib.text.Text`
-    instances.
+        Otherwise, create a new Axes on the figure with the given number
+        (creating it at the appropriate size if it does not exist, but not
+        adjusting the figure size otherwise).  Note that this will be drawn on
+        top of any preexisting Axes on the figure.
 
-    Examples::
+    Returns
+    -------
+    `~matplotlib.image.AxesImage`
 
-      # set the locations of the radial gridlines and labels
-      lines, labels = thetagrids( range(45,360,90) )
+    Other Parameters
+    ----------------
+    **kwargs : `~matplotlib.axes.Axes.imshow` arguments
 
-      # set the locations and labels of the radial gridlines and labels
-      lines, labels = thetagrids( range(45,360,90), ('NE', 'NW', 'SW','SE') )
     """
-    ax = gca()
-    if not isinstance(ax, PolarAxes):
-        raise RuntimeError('rgrids only defined for polar axes')
-    if len(args)==0:
-        lines = ax.xaxis.get_ticklines()
-        labels = ax.xaxis.get_ticklabels()
+    A = np.asanyarray(A)
+    if fignum == 0:
+        ax = gca()
     else:
-        lines, labels = ax.set_thetagrids(*args, **kwargs)
-
-    draw_if_interactive()
-    return (silent_list('Line2D thetagridline', lines),
-            silent_list('Text thetagridlabel', labels)
-            )
-
-
-## Plotting Info ##
-
-def plotting():
-    pass
+        if fignum is not None and fignum_exists(fignum):
+            # Do not try to set a figure size.
+            figsize = None
+        else:
+            # Extract actual aspect ratio of array and make appropriately sized figure.
+            figsize = figaspect(A)
+        fig = figure(fignum, figsize=figsize)
+        ax = fig.add_axes((0.15, 0.09, 0.775, 0.775))
+    im = ax.matshow(A, **kwargs)
+    sci(im)
+    return im
 
 
-def get_plot_commands():
+def polar(*args, **kwargs) -> list[Line2D]:
     """
-    Get a sorted list of all of the plotting commands.
-    """
-    # This works by searching for all functions in this module and
-    # removing a few hard-coded exclusions, as well as all of the
-    # colormap-setting functions, and anything marked as private with
-    # a preceding underscore.
-
-    import inspect
+    Make a polar plot.
 
-    exclude = set(['colormaps', 'colors', 'connect', 'disconnect',
-                   'get_plot_commands', 'get_current_fig_manager',
-                   'ginput', 'plotting', 'waitforbuttonpress'])
-    exclude |= set(colormaps())
-    this_module = inspect.getmodule(get_plot_commands)
+    call signature::
 
-    commands = set()
-    for name, obj in list(six.iteritems(globals())):
-        if name.startswith('_') or name in exclude:
-            continue
-        if inspect.isfunction(obj) and inspect.getmodule(obj) is this_module:
-            commands.add(name)
+      polar(theta, r, [fmt], **kwargs)
 
-    commands = list(commands)
-    commands.sort()
-    return commands
+    This is a convenience wrapper around `.pyplot.plot`. It ensures that the
+    current Axes is polar (or creates one if needed) and then passes all parameters
+    to ``.pyplot.plot``.
 
-def colors():
+    .. note::
+        When making polar plots using the :ref:`pyplot API <pyplot_interface>`,
+        ``polar()`` should typically be the first command because that makes sure
+        a polar Axes is created. Using other commands such as ``plt.title()``
+        before this can lead to the implicit creation of a rectangular Axes, in which
+        case a subsequent ``polar()`` call will fail.
     """
-    This is a do-nothing function to provide you with help on how
-    matplotlib handles colors.
-
-    Commands which take color arguments can use several formats to
-    specify the colors.  For the basic built-in colors, you can use a
-    single letter
+    # If an axis already exists, check if it has a polar projection
+    if gcf().get_axes():
+        ax = gca()
+        if not isinstance(ax, PolarAxes):
+            _api.warn_deprecated(
+                "3.10",
+                message="There exists a non-polar current Axes. Therefore, the "
+                        "resulting plot from 'polar()' is non-polar. You likely "
+                        "should call 'polar()' before any other pyplot plotting "
+                        "commands. "
+                        "Support for this scenario is deprecated in %(since)s and "
+                        "will raise an error in %(removal)s"
+            )
+    else:
+        ax = axes(projection="polar")
+    return ax.plot(*args, **kwargs)
 
-      =====   =======
-      Alias   Color
-      =====   =======
-      'b'     blue
-      'g'     green
-      'r'     red
-      'c'     cyan
-      'm'     magenta
-      'y'     yellow
-      'k'     black
-      'w'     white
-      =====   =======
-
-    For a greater range of colors, you have two options.  You can
-    specify the color using an html hex string, as in::
-
-      color = '#eeefff'
 
-    or you can pass an R,G,B tuple, where each of R,G,B are in the
-    range [0,1].
-
-    You can also use any legal html name for a color, for example::
-
-      color = 'red'
-      color = 'burlywood'
-      color = 'chartreuse'
-
-    The example below creates a subplot with a dark
-    slate gray background::
-
-       subplot(111, axisbg=(0.1843, 0.3098, 0.3098))
-
-    Here is an example that creates a pale turquoise title::
-
-      title('Is this the best color?', color='#afeeee')
-
-    """
-    pass
-
-
-def colormaps():
-    """
-    Matplotlib provides a number of colormaps, and others can be added using
-    :func:`~matplotlib.cm.register_cmap`.  This function documents the built-in
-    colormaps, and will also return a list of all registered colormaps if called.
-
-    You can set the colormap for an image, pcolor, scatter, etc,
-    using a keyword argument::
-
-      imshow(X, cmap=cm.hot)
-
-    or using the :func:`set_cmap` function::
-
-      imshow(X)
-      pyplot.set_cmap('hot')
-      pyplot.set_cmap('jet')
-
-    In interactive mode, :func:`set_cmap` will update the colormap post-hoc,
-    allowing you to see which one works best for your data.
-
-    All built-in colormaps can be reversed by appending ``_r``: For instance,
-    ``gray_r`` is the reverse of ``gray``.
-
-    There are several common color schemes used in visualization:
-
-    Sequential schemes
-      for unipolar data that progresses from low to high
-    Diverging schemes
-      for bipolar data that emphasizes positive or negative deviations from a
-      central value
-    Cyclic schemes
-      meant for plotting values that wrap around at the
-      endpoints, such as phase angle, wind direction, or time of day
-    Qualitative schemes
-      for nominal data that has no inherent ordering, where color is used
-      only to distinguish categories
-
-    The base colormaps are derived from those of the same name provided
-    with Matlab:
-
-      =========   =======================================================
-      Colormap    Description
-      =========   =======================================================
-      autumn      sequential linearly-increasing shades of red-orange-yellow
-      bone        sequential increasing black-white color map with
-                  a tinge of blue, to emulate X-ray film
-      cool        linearly-decreasing shades of cyan-magenta
-      copper      sequential increasing shades of black-copper
-      flag        repetitive red-white-blue-black pattern (not cyclic at
-                  endpoints)
-      gray        sequential linearly-increasing black-to-white
-                  grayscale
-      hot         sequential black-red-yellow-white, to emulate blackbody
-                  radiation from an object at increasing temperatures
-      hsv         cyclic red-yellow-green-cyan-blue-magenta-red, formed
-                  by changing the hue component in the HSV color space
-      jet         a spectral map with dark endpoints, blue-cyan-yellow-red;
-                  based on a fluid-jet simulation by NCSA [#]_
-      pink        sequential increasing pastel black-pink-white, meant
-                  for sepia tone colorization of photographs
-      prism       repetitive red-yellow-green-blue-purple-...-green pattern
-                  (not cyclic at endpoints)
-      spring      linearly-increasing shades of magenta-yellow
-      summer      sequential linearly-increasing shades of green-yellow
-      winter      linearly-increasing shades of blue-green
-      =========   =======================================================
-
-    For the above list only, you can also set the colormap using the
-    corresponding pylab shortcut interface function, similar to Matlab::
-
-      imshow(X)
-      hot()
-      jet()
-
-    The next set of palettes are from the `Yorick scientific visualisation
-    package <http://yorick.sourceforge.net/index.php>`_, an evolution of
-    the GIST package, both by David H. Munro:
-
-      ============  =======================================================
-      Colormap      Description
-      ============  =======================================================
-      gist_earth    mapmaker's colors from dark blue deep ocean to green
-                    lowlands to brown highlands to white mountains
-      gist_heat     sequential increasing black-red-orange-white, to emulate
-                    blackbody radiation from an iron bar as it grows hotter
-      gist_ncar     pseudo-spectral black-blue-green-yellow-red-purple-white
-                    colormap from National Center for Atmospheric
-                    Research [#]_
-      gist_rainbow  runs through the colors in spectral order from red to
-                    violet at full saturation (like *hsv* but not cyclic)
-      gist_stern    "Stern special" color table from Interactive Data
-                    Language software
-      ============  =======================================================
-
-    The following colormaps are based on the `ColorBrewer
-    <http://colorbrewer.org>`_ color specifications and designs developed by
-    Cynthia Brewer:
-
-    ColorBrewer Diverging (luminance is highest at the midpoint, and
-    decreases towards differently-colored endpoints):
-
-      ========  ===================================
-      Colormap  Description
-      ========  ===================================
-      BrBG      brown, white, blue-green
-      PiYG      pink, white, yellow-green
-      PRGn      purple, white, green
-      PuOr      orange, white, purple
-      RdBu      red, white, blue
-      RdGy      red, white, gray
-      RdYlBu    red, yellow, blue
-      RdYlGn    red, yellow, green
-      Spectral  red, orange, yellow, green, blue
-      ========  ===================================
-
-    ColorBrewer Sequential (luminance decreases monotonically):
-
-      ========  ====================================
-      Colormap  Description
-      ========  ====================================
-      Blues     white to dark blue
-      BuGn      white, light blue, dark green
-      BuPu      white, light blue, dark purple
-      GnBu      white, light green, dark blue
-      Greens    white to dark green
-      Greys     white to black (not linear)
-      Oranges   white, orange, dark brown
-      OrRd      white, orange, dark red
-      PuBu      white, light purple, dark blue
-      PuBuGn    white, light purple, dark green
-      PuRd      white, light purple, dark red
-      Purples   white to dark purple
-      RdPu      white, pink, dark purple
-      Reds      white to dark red
-      YlGn      light yellow, dark green
-      YlGnBu    light yellow, light green, dark blue
-      YlOrBr    light yellow, orange, dark brown
-      YlOrRd    light yellow, orange, dark red
-      ========  ====================================
-
-    ColorBrewer Qualitative:
-
-    (For plotting nominal data, :class:`ListedColormap` should be used,
-    not :class:`LinearSegmentedColormap`.  Different sets of colors are
-    recommended for different numbers of categories.  These continuous
-    versions of the qualitative schemes may be removed or converted in the
-    future.)
-
-    * Accent
-    * Dark2
-    * Paired
-    * Pastel1
-    * Pastel2
-    * Set1
-    * Set2
-    * Set3
-
-    Other miscellaneous schemes:
-
-      ============= =======================================================
-      Colormap      Description
-      ============= =======================================================
-      afmhot        sequential black-orange-yellow-white blackbody
-                    spectrum, commonly used in atomic force microscopy
-      brg           blue-red-green
-      bwr           diverging blue-white-red
-      coolwarm      diverging blue-gray-red, meant to avoid issues with 3D
-                    shading, color blindness, and ordering of colors [#]_
-      CMRmap        "Default colormaps on color images often reproduce to
-                    confusing grayscale images. The proposed colormap
-                    maintains an aesthetically pleasing color image that
-                    automatically reproduces to a monotonic grayscale with
-                    discrete, quantifiable saturation levels." [#]_
-      cubehelix     Unlike most other color schemes cubehelix was designed
-                    by D.A. Green to be monotonically increasing in terms
-                    of perceived brightness. Also, when printed on a black
-                    and white postscript printer, the scheme results in a
-                    greyscale with monotonically increasing brightness.
-                    This color scheme is named cubehelix because the r,g,b
-                    values produced can be visualised as a squashed helix
-                    around the diagonal in the r,g,b color cube.
-      gnuplot       gnuplot's traditional pm3d scheme
-                    (black-blue-red-yellow)
-      gnuplot2      sequential color printable as gray
-                    (black-blue-violet-yellow-white)
-      ocean         green-blue-white
-      rainbow       spectral purple-blue-green-yellow-orange-red colormap
-                    with diverging luminance
-      seismic       diverging blue-white-red
-      nipy_spectral black-purple-blue-green-yellow-red-white spectrum,
-                    originally from the Neuroimaging in Python project
-      terrain       mapmaker's colors, blue-green-yellow-brown-white,
-                    originally from IGOR Pro
-      ============= =======================================================
-
-    The following colormaps are redundant and may be removed in future
-    versions.  It's recommended to use the names in the descriptions
-    instead, which produce identical output:
-
-      =========  =======================================================
-      Colormap   Description
-      =========  =======================================================
-      gist_gray  identical to *gray*
-      gist_yarg  identical to *gray_r*
-      binary     identical to *gray_r*
-      spectral   identical to *nipy_spectral* [#]_
-      =========  =======================================================
-
-    .. rubric:: Footnotes
-
-    .. [#] Rainbow colormaps, ``jet`` in particular, are considered a poor
-      choice for scientific visualization by many researchers: `Rainbow Color
-      Map (Still) Considered Harmful
-      <http://www.jwave.vt.edu/%7Erkriz/Projects/create_color_table/color_07.pdf>`_
-
-    .. [#] Resembles "BkBlAqGrYeOrReViWh200" from NCAR Command
-      Language. See `Color Table Gallery
-      <http://www.ncl.ucar.edu/Document/Graphics/color_table_gallery.shtml>`_
-
-    .. [#] See `Diverging Color Maps for Scientific Visualization
-      <http://www.cs.unm.edu/~kmorel/documents/ColorMaps/>`_ by Kenneth
-      Moreland.
-
-    .. [#] See `A Color Map for Effective Black-and-White Rendering of
-      Color-Scale Images
-      <http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m>`_
-      by Carey Rappaport
-
-    .. [#] Changed to distinguish from ColorBrewer's *Spectral* map.
-      :func:`spectral` still works, but
-      ``set_cmap('nipy_spectral')`` is recommended for clarity.
-
-
-    """
-    return sorted(cm.cmap_d.keys())
-
-
-def _setup_pyplot_info_docstrings():
-    """
-    Generates the plotting and docstring.
-
-    These must be done after the entire module is imported, so it is
-    called from the end of this module, which is generated by
-    boilerplate.py.
-    """
-    # Generate the plotting docstring
-    import re
-
-    def pad(s, l):
-        """Pad string *s* to length *l*."""
-        if l < len(s):
-            return s[:l]
-        return s + ' ' * (l - len(s))
-
-    commands = get_plot_commands()
-
-    first_sentence = re.compile("(?:\s*).+?\.(?:\s+|$)", flags=re.DOTALL)
-
-    # Collect the first sentence of the docstring for all of the
-    # plotting commands.
-    rows = []
-    max_name = 0
-    max_summary = 0
-    for name in commands:
-        doc = globals()[name].__doc__
-        summary = ''
-        if doc is not None:
-            match = first_sentence.match(doc)
-            if match is not None:
-                summary = match.group(0).strip().replace('\n', ' ')
-        name = '`%s`' % name
-        rows.append([name, summary])
-        max_name = max(max_name, len(name))
-        max_summary = max(max_summary, len(summary))
-
-    lines = []
-    sep = '=' * max_name + ' ' + '=' * max_summary
-    lines.append(sep)
-    lines.append(' '.join([pad("Function", max_name),
-                           pad("Description", max_summary)]))
-    lines.append(sep)
-    for name, summary in rows:
-        lines.append(' '.join([pad(name, max_name),
-                               pad(summary, max_summary)]))
-    lines.append(sep)
-
-    plotting.__doc__ = '\n'.join(lines)
+# If rcParams['backend_fallback'] is true, and an interactive backend is
+# requested, ignore rcParams['backend'] and force selection of a backend that
+# is compatible with the current running interactive framework.
+if rcParams["backend_fallback"]:
+    requested_backend = rcParams._get_backend_or_none()  # type: ignore[attr-defined]
+    requested_backend = None if requested_backend is None else requested_backend.lower()
+    available_backends = backend_registry.list_builtin(BackendFilter.INTERACTIVE)
+    if (
+        requested_backend in (set(available_backends) - {'webagg', 'nbagg'})
+        and cbook._get_running_interactive_framework()
+    ):
+        rcParams._set("backend", rcsetup._auto_backend_sentinel)
 
-## Plotting part 1: manually generated functions and wrappers ##
+# fmt: on
 
-def colorbar(mappable=None, cax=None, ax=None, **kw):
-    if mappable is None:
-        mappable = gci()
-        if mappable is None:
-            raise RuntimeError('No mappable was found to use for colorbar '
-                               'creation. First define a mappable such as '
-                               'an image (with imshow) or a contour set ('
-                               'with contourf).')
-    if ax is None:
-        ax = gca()
+################# REMAINING CONTENT GENERATED BY boilerplate.py ##############
 
-    ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
-    draw_if_interactive()
-    return ret
-colorbar.__doc__ = matplotlib.colorbar.colorbar_doc
 
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.figimage)
+def figimage(
+    X: ArrayLike,
+    xo: int = 0,
+    yo: int = 0,
+    alpha: float | None = None,
+    norm: str | Normalize | None = None,
+    cmap: str | Colormap | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    origin: Literal["upper", "lower"] | None = None,
+    resize: bool = False,
+    *,
+    colorizer: Colorizer | None = None,
+    **kwargs,
+) -> FigureImage:
+    return gcf().figimage(
+        X,
+        xo=xo,
+        yo=yo,
+        alpha=alpha,
+        norm=norm,
+        cmap=cmap,
+        vmin=vmin,
+        vmax=vmax,
+        origin=origin,
+        resize=resize,
+        colorizer=colorizer,
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.text)
+def figtext(
+    x: float, y: float, s: str, fontdict: dict[str, Any] | None = None, **kwargs
+) -> Text:
+    return gcf().text(x, y, s, fontdict=fontdict, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.gca)
+def gca() -> Axes:
+    return gcf().gca()
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure._gci)
+def gci() -> ColorizingArtist | None:
+    return gcf()._gci()
 
-def clim(vmin=None, vmax=None):
-    """
-    Set the color limits of the current image.
 
-    To apply clim to all axes images do::
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.ginput)
+def ginput(
+    n: int = 1,
+    timeout: float = 30,
+    show_clicks: bool = True,
+    mouse_add: MouseButton = MouseButton.LEFT,
+    mouse_pop: MouseButton = MouseButton.RIGHT,
+    mouse_stop: MouseButton = MouseButton.MIDDLE,
+) -> list[tuple[int, int]]:
+    return gcf().ginput(
+        n=n,
+        timeout=timeout,
+        show_clicks=show_clicks,
+        mouse_add=mouse_add,
+        mouse_pop=mouse_pop,
+        mouse_stop=mouse_stop,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.subplots_adjust)
+def subplots_adjust(
+    left: float | None = None,
+    bottom: float | None = None,
+    right: float | None = None,
+    top: float | None = None,
+    wspace: float | None = None,
+    hspace: float | None = None,
+) -> None:
+    gcf().subplots_adjust(
+        left=left, bottom=bottom, right=right, top=top, wspace=wspace, hspace=hspace
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.suptitle)
+def suptitle(t: str, **kwargs) -> Text:
+    return gcf().suptitle(t, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.tight_layout)
+def tight_layout(
+    *,
+    pad: float = 1.08,
+    h_pad: float | None = None,
+    w_pad: float | None = None,
+    rect: tuple[float, float, float, float] | None = None,
+) -> None:
+    gcf().tight_layout(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Figure.waitforbuttonpress)
+def waitforbuttonpress(timeout: float = -1) -> None | bool:
+    return gcf().waitforbuttonpress(timeout=timeout)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.acorr)
+def acorr(
+    x: ArrayLike, *, data=None, **kwargs
+) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]:
+    return gca().acorr(x, **({"data": data} if data is not None else {}), **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.angle_spectrum)
+def angle_spectrum(
+    x: ArrayLike,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, Line2D]:
+    return gca().angle_spectrum(
+        x,
+        Fs=Fs,
+        Fc=Fc,
+        window=window,
+        pad_to=pad_to,
+        sides=sides,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.annotate)
+def annotate(
+    text: str,
+    xy: tuple[float, float],
+    xytext: tuple[float, float] | None = None,
+    xycoords: CoordsType = "data",
+    textcoords: CoordsType | None = None,
+    arrowprops: dict[str, Any] | None = None,
+    annotation_clip: bool | None = None,
+    **kwargs,
+) -> Annotation:
+    return gca().annotate(
+        text,
+        xy,
+        xytext=xytext,
+        xycoords=xycoords,
+        textcoords=textcoords,
+        arrowprops=arrowprops,
+        annotation_clip=annotation_clip,
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.arrow)
+def arrow(x: float, y: float, dx: float, dy: float, **kwargs) -> FancyArrow:
+    return gca().arrow(x, y, dx, dy, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.autoscale)
+def autoscale(
+    enable: bool = True,
+    axis: Literal["both", "x", "y"] = "both",
+    tight: bool | None = None,
+) -> None:
+    gca().autoscale(enable=enable, axis=axis, tight=tight)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axhline)
+def axhline(y: float = 0, xmin: float = 0, xmax: float = 1, **kwargs) -> Line2D:
+    return gca().axhline(y=y, xmin=xmin, xmax=xmax, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axhspan)
+def axhspan(
+    ymin: float, ymax: float, xmin: float = 0, xmax: float = 1, **kwargs
+) -> Rectangle:
+    return gca().axhspan(ymin, ymax, xmin=xmin, xmax=xmax, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axis)
+def axis(
+    arg: tuple[float, float, float, float] | bool | str | None = None,
+    /,
+    *,
+    emit: bool = True,
+    **kwargs,
+) -> tuple[float, float, float, float]:
+    return gca().axis(arg, emit=emit, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axline)
+def axline(
+    xy1: tuple[float, float],
+    xy2: tuple[float, float] | None = None,
+    *,
+    slope: float | None = None,
+    **kwargs,
+) -> AxLine:
+    return gca().axline(xy1, xy2=xy2, slope=slope, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axvline)
+def axvline(x: float = 0, ymin: float = 0, ymax: float = 1, **kwargs) -> Line2D:
+    return gca().axvline(x=x, ymin=ymin, ymax=ymax, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.axvspan)
+def axvspan(
+    xmin: float, xmax: float, ymin: float = 0, ymax: float = 1, **kwargs
+) -> Rectangle:
+    return gca().axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.bar)
+def bar(
+    x: float | ArrayLike,
+    height: float | ArrayLike,
+    width: float | ArrayLike = 0.8,
+    bottom: float | ArrayLike | None = None,
+    *,
+    align: Literal["center", "edge"] = "center",
+    data=None,
+    **kwargs,
+) -> BarContainer:
+    return gca().bar(
+        x,
+        height,
+        width=width,
+        bottom=bottom,
+        align=align,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.barbs)
+def barbs(*args, data=None, **kwargs) -> Barbs:
+    return gca().barbs(*args, **({"data": data} if data is not None else {}), **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.barh)
+def barh(
+    y: float | ArrayLike,
+    width: float | ArrayLike,
+    height: float | ArrayLike = 0.8,
+    left: float | ArrayLike | None = None,
+    *,
+    align: Literal["center", "edge"] = "center",
+    data=None,
+    **kwargs,
+) -> BarContainer:
+    return gca().barh(
+        y,
+        width,
+        height=height,
+        left=left,
+        align=align,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.bar_label)
+def bar_label(
+    container: BarContainer,
+    labels: ArrayLike | None = None,
+    *,
+    fmt: str | Callable[[float], str] = "%g",
+    label_type: Literal["center", "edge"] = "edge",
+    padding: float | ArrayLike = 0,
+    **kwargs,
+) -> list[Annotation]:
+    return gca().bar_label(
+        container,
+        labels=labels,
+        fmt=fmt,
+        label_type=label_type,
+        padding=padding,
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.boxplot)
+def boxplot(
+    x: ArrayLike | Sequence[ArrayLike],
+    notch: bool | None = None,
+    sym: str | None = None,
+    vert: bool | None = None,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    whis: float | tuple[float, float] | None = None,
+    positions: ArrayLike | None = None,
+    widths: float | ArrayLike | None = None,
+    patch_artist: bool | None = None,
+    bootstrap: int | None = None,
+    usermedians: ArrayLike | None = None,
+    conf_intervals: ArrayLike | None = None,
+    meanline: bool | None = None,
+    showmeans: bool | None = None,
+    showcaps: bool | None = None,
+    showbox: bool | None = None,
+    showfliers: bool | None = None,
+    boxprops: dict[str, Any] | None = None,
+    tick_labels: Sequence[str] | None = None,
+    flierprops: dict[str, Any] | None = None,
+    medianprops: dict[str, Any] | None = None,
+    meanprops: dict[str, Any] | None = None,
+    capprops: dict[str, Any] | None = None,
+    whiskerprops: dict[str, Any] | None = None,
+    manage_ticks: bool = True,
+    autorange: bool = False,
+    zorder: float | None = None,
+    capwidths: float | ArrayLike | None = None,
+    label: Sequence[str] | None = None,
+    *,
+    data=None,
+) -> dict[str, Any]:
+    return gca().boxplot(
+        x,
+        notch=notch,
+        sym=sym,
+        vert=vert,
+        orientation=orientation,
+        whis=whis,
+        positions=positions,
+        widths=widths,
+        patch_artist=patch_artist,
+        bootstrap=bootstrap,
+        usermedians=usermedians,
+        conf_intervals=conf_intervals,
+        meanline=meanline,
+        showmeans=showmeans,
+        showcaps=showcaps,
+        showbox=showbox,
+        showfliers=showfliers,
+        boxprops=boxprops,
+        tick_labels=tick_labels,
+        flierprops=flierprops,
+        medianprops=medianprops,
+        meanprops=meanprops,
+        capprops=capprops,
+        whiskerprops=whiskerprops,
+        manage_ticks=manage_ticks,
+        autorange=autorange,
+        zorder=zorder,
+        capwidths=capwidths,
+        label=label,
+        **({"data": data} if data is not None else {}),
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.broken_barh)
+def broken_barh(
+    xranges: Sequence[tuple[float, float]],
+    yrange: tuple[float, float],
+    *,
+    data=None,
+    **kwargs,
+) -> PolyCollection:
+    return gca().broken_barh(
+        xranges, yrange, **({"data": data} if data is not None else {}), **kwargs
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.clabel)
+def clabel(CS: ContourSet, levels: ArrayLike | None = None, **kwargs) -> list[Text]:
+    return gca().clabel(CS, levels=levels, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.cohere)
+def cohere(
+    x: ArrayLike,
+    y: ArrayLike,
+    NFFT: int = 256,
+    Fs: float = 2,
+    Fc: int = 0,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike], ArrayLike] = mlab.detrend_none,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike = mlab.window_hanning,
+    noverlap: int = 0,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] = "default",
+    scale_by_freq: bool | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray]:
+    return gca().cohere(
+        x,
+        y,
+        NFFT=NFFT,
+        Fs=Fs,
+        Fc=Fc,
+        detrend=detrend,
+        window=window,
+        noverlap=noverlap,
+        pad_to=pad_to,
+        sides=sides,
+        scale_by_freq=scale_by_freq,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.contour)
+def contour(*args, data=None, **kwargs) -> QuadContourSet:
+    __ret = gca().contour(
+        *args, **({"data": data} if data is not None else {}), **kwargs
+    )
+    if __ret._A is not None:  # type: ignore[attr-defined]
+        sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.contourf)
+def contourf(*args, data=None, **kwargs) -> QuadContourSet:
+    __ret = gca().contourf(
+        *args, **({"data": data} if data is not None else {}), **kwargs
+    )
+    if __ret._A is not None:  # type: ignore[attr-defined]
+        sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.csd)
+def csd(
+    x: ArrayLike,
+    y: ArrayLike,
+    NFFT: int | None = None,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike], ArrayLike]
+    | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    noverlap: int | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    scale_by_freq: bool | None = None,
+    return_line: bool | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]:
+    return gca().csd(
+        x,
+        y,
+        NFFT=NFFT,
+        Fs=Fs,
+        Fc=Fc,
+        detrend=detrend,
+        window=window,
+        noverlap=noverlap,
+        pad_to=pad_to,
+        sides=sides,
+        scale_by_freq=scale_by_freq,
+        return_line=return_line,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.ecdf)
+def ecdf(
+    x: ArrayLike,
+    weights: ArrayLike | None = None,
+    *,
+    complementary: bool = False,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    compress: bool = False,
+    data=None,
+    **kwargs,
+) -> Line2D:
+    return gca().ecdf(
+        x,
+        weights=weights,
+        complementary=complementary,
+        orientation=orientation,
+        compress=compress,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.errorbar)
+def errorbar(
+    x: float | ArrayLike,
+    y: float | ArrayLike,
+    yerr: float | ArrayLike | None = None,
+    xerr: float | ArrayLike | None = None,
+    fmt: str = "",
+    ecolor: ColorType | None = None,
+    elinewidth: float | None = None,
+    capsize: float | None = None,
+    barsabove: bool = False,
+    lolims: bool | ArrayLike = False,
+    uplims: bool | ArrayLike = False,
+    xlolims: bool | ArrayLike = False,
+    xuplims: bool | ArrayLike = False,
+    errorevery: int | tuple[int, int] = 1,
+    capthick: float | None = None,
+    elinestyle: LineStyleType | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> ErrorbarContainer:
+    return gca().errorbar(
+        x,
+        y,
+        yerr=yerr,
+        xerr=xerr,
+        fmt=fmt,
+        ecolor=ecolor,
+        elinewidth=elinewidth,
+        capsize=capsize,
+        barsabove=barsabove,
+        lolims=lolims,
+        uplims=uplims,
+        xlolims=xlolims,
+        xuplims=xuplims,
+        errorevery=errorevery,
+        capthick=capthick,
+        elinestyle=elinestyle,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.eventplot)
+def eventplot(
+    positions: ArrayLike | Sequence[ArrayLike],
+    orientation: Literal["horizontal", "vertical"] = "horizontal",
+    lineoffsets: float | Sequence[float] = 1,
+    linelengths: float | Sequence[float] = 1,
+    linewidths: float | Sequence[float] | None = None,
+    colors: ColorType | Sequence[ColorType] | None = None,
+    alpha: float | Sequence[float] | None = None,
+    linestyles: LineStyleType | Sequence[LineStyleType] = "solid",
+    *,
+    data=None,
+    **kwargs,
+) -> EventCollection:
+    return gca().eventplot(
+        positions,
+        orientation=orientation,
+        lineoffsets=lineoffsets,
+        linelengths=linelengths,
+        linewidths=linewidths,
+        colors=colors,
+        alpha=alpha,
+        linestyles=linestyles,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.fill)
+def fill(*args, data=None, **kwargs) -> list[Polygon]:
+    return gca().fill(*args, **({"data": data} if data is not None else {}), **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.fill_between)
+def fill_between(
+    x: ArrayLike,
+    y1: ArrayLike | float,
+    y2: ArrayLike | float = 0,
+    where: Sequence[bool] | None = None,
+    interpolate: bool = False,
+    step: Literal["pre", "post", "mid"] | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> FillBetweenPolyCollection:
+    return gca().fill_between(
+        x,
+        y1,
+        y2=y2,
+        where=where,
+        interpolate=interpolate,
+        step=step,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.fill_betweenx)
+def fill_betweenx(
+    y: ArrayLike,
+    x1: ArrayLike | float,
+    x2: ArrayLike | float = 0,
+    where: Sequence[bool] | None = None,
+    step: Literal["pre", "post", "mid"] | None = None,
+    interpolate: bool = False,
+    *,
+    data=None,
+    **kwargs,
+) -> FillBetweenPolyCollection:
+    return gca().fill_betweenx(
+        y,
+        x1,
+        x2=x2,
+        where=where,
+        step=step,
+        interpolate=interpolate,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.grid)
+def grid(
+    visible: bool | None = None,
+    which: Literal["major", "minor", "both"] = "major",
+    axis: Literal["both", "x", "y"] = "both",
+    **kwargs,
+) -> None:
+    gca().grid(visible=visible, which=which, axis=axis, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.grouped_bar)
+def grouped_bar(
+    heights: Sequence[ArrayLike] | dict[str, ArrayLike] | np.ndarray | pd.DataFrame,
+    *,
+    positions: ArrayLike | None = None,
+    group_spacing: float | None = 1.5,
+    bar_spacing: float | None = 0,
+    tick_labels: Sequence[str] | None = None,
+    labels: Sequence[str] | None = None,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    colors: Iterable[ColorType] | None = None,
+    **kwargs,
+) -> list[BarContainer]:
+    return gca().grouped_bar(
+        heights,
+        positions=positions,
+        group_spacing=group_spacing,
+        bar_spacing=bar_spacing,
+        tick_labels=tick_labels,
+        labels=labels,
+        orientation=orientation,
+        colors=colors,
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.hexbin)
+def hexbin(
+    x: ArrayLike,
+    y: ArrayLike,
+    C: ArrayLike | None = None,
+    gridsize: int | tuple[int, int] = 100,
+    bins: Literal["log"] | int | Sequence[float] | None = None,
+    xscale: Literal["linear", "log"] = "linear",
+    yscale: Literal["linear", "log"] = "linear",
+    extent: tuple[float, float, float, float] | None = None,
+    cmap: str | Colormap | None = None,
+    norm: str | Normalize | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    alpha: float | None = None,
+    linewidths: float | None = None,
+    edgecolors: Literal["face", "none"] | ColorType = "face",
+    reduce_C_function: Callable[[np.ndarray | list[float]], float] = np.mean,
+    mincnt: int | None = None,
+    marginals: bool = False,
+    colorizer: Colorizer | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> PolyCollection:
+    __ret = gca().hexbin(
+        x,
+        y,
+        C=C,
+        gridsize=gridsize,
+        bins=bins,
+        xscale=xscale,
+        yscale=yscale,
+        extent=extent,
+        cmap=cmap,
+        norm=norm,
+        vmin=vmin,
+        vmax=vmax,
+        alpha=alpha,
+        linewidths=linewidths,
+        edgecolors=edgecolors,
+        reduce_C_function=reduce_C_function,
+        mincnt=mincnt,
+        marginals=marginals,
+        colorizer=colorizer,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.hist)
+def hist(
+    x: ArrayLike | Sequence[ArrayLike],
+    bins: int | Sequence[float] | str | None = None,
+    range: tuple[float, float] | None = None,
+    density: bool = False,
+    weights: ArrayLike | None = None,
+    cumulative: bool | float = False,
+    bottom: ArrayLike | float | None = None,
+    histtype: Literal["bar", "barstacked", "step", "stepfilled"] = "bar",
+    align: Literal["left", "mid", "right"] = "mid",
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    rwidth: float | None = None,
+    log: bool = False,
+    color: ColorType | Sequence[ColorType] | None = None,
+    label: str | Sequence[str] | None = None,
+    stacked: bool = False,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[
+    np.ndarray | list[np.ndarray],
+    np.ndarray,
+    BarContainer | Polygon | list[BarContainer | Polygon],
+]:
+    return gca().hist(
+        x,
+        bins=bins,
+        range=range,
+        density=density,
+        weights=weights,
+        cumulative=cumulative,
+        bottom=bottom,
+        histtype=histtype,
+        align=align,
+        orientation=orientation,
+        rwidth=rwidth,
+        log=log,
+        color=color,
+        label=label,
+        stacked=stacked,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.stairs)
+def stairs(
+    values: ArrayLike,
+    edges: ArrayLike | None = None,
+    *,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    baseline: float | ArrayLike | None = 0,
+    fill: bool = False,
+    data=None,
+    **kwargs,
+) -> StepPatch:
+    return gca().stairs(
+        values,
+        edges=edges,
+        orientation=orientation,
+        baseline=baseline,
+        fill=fill,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.hist2d)
+def hist2d(
+    x: ArrayLike,
+    y: ArrayLike,
+    bins: None | int | tuple[int, int] | ArrayLike | tuple[ArrayLike, ArrayLike] = 10,
+    range: ArrayLike | None = None,
+    density: bool = False,
+    weights: ArrayLike | None = None,
+    cmin: float | None = None,
+    cmax: float | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, np.ndarray, QuadMesh]:
+    __ret = gca().hist2d(
+        x,
+        y,
+        bins=bins,
+        range=range,
+        density=density,
+        weights=weights,
+        cmin=cmin,
+        cmax=cmax,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret[-1])
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.hlines)
+def hlines(
+    y: float | ArrayLike,
+    xmin: float | ArrayLike,
+    xmax: float | ArrayLike,
+    colors: ColorType | Sequence[ColorType] | None = None,
+    linestyles: LineStyleType = "solid",
+    label: str = "",
+    *,
+    data=None,
+    **kwargs,
+) -> LineCollection:
+    return gca().hlines(
+        y,
+        xmin,
+        xmax,
+        colors=colors,
+        linestyles=linestyles,
+        label=label,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.imshow)
+def imshow(
+    X: ArrayLike | PIL.Image.Image,
+    cmap: str | Colormap | None = None,
+    norm: str | Normalize | None = None,
+    *,
+    aspect: Literal["equal", "auto"] | float | None = None,
+    interpolation: str | None = None,
+    alpha: float | ArrayLike | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    colorizer: Colorizer | None = None,
+    origin: Literal["upper", "lower"] | None = None,
+    extent: tuple[float, float, float, float] | None = None,
+    interpolation_stage: Literal["data", "rgba", "auto"] | None = None,
+    filternorm: bool = True,
+    filterrad: float = 4.0,
+    resample: bool | None = None,
+    url: str | None = None,
+    data=None,
+    **kwargs,
+) -> AxesImage:
+    __ret = gca().imshow(
+        X,
+        cmap=cmap,
+        norm=norm,
+        aspect=aspect,
+        interpolation=interpolation,
+        alpha=alpha,
+        vmin=vmin,
+        vmax=vmax,
+        colorizer=colorizer,
+        origin=origin,
+        extent=extent,
+        interpolation_stage=interpolation_stage,
+        filternorm=filternorm,
+        filterrad=filterrad,
+        resample=resample,
+        url=url,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.legend)
+def legend(*args, **kwargs) -> Legend:
+    return gca().legend(*args, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.locator_params)
+def locator_params(
+    axis: Literal["both", "x", "y"] = "both", tight: bool | None = None, **kwargs
+) -> None:
+    gca().locator_params(axis=axis, tight=tight, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.loglog)
+def loglog(*args, **kwargs) -> list[Line2D]:
+    return gca().loglog(*args, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.magnitude_spectrum)
+def magnitude_spectrum(
+    x: ArrayLike,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    scale: Literal["default", "linear", "dB"] | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, Line2D]:
+    return gca().magnitude_spectrum(
+        x,
+        Fs=Fs,
+        Fc=Fc,
+        window=window,
+        pad_to=pad_to,
+        sides=sides,
+        scale=scale,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.margins)
+def margins(
+    *margins: float,
+    x: float | None = None,
+    y: float | None = None,
+    tight: bool | None = True,
+) -> tuple[float, float] | None:
+    return gca().margins(*margins, x=x, y=y, tight=tight)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.minorticks_off)
+def minorticks_off() -> None:
+    gca().minorticks_off()
 
-      clim(0, 0.5)
 
-    If either *vmin* or *vmax* is None, the image min/max respectively
-    will be used for color scaling.
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.minorticks_on)
+def minorticks_on() -> None:
+    gca().minorticks_on()
 
-    If you want to set the clim of multiple images,
-    use, for example::
 
-      for im in gca().get_images():
-          im.set_clim(0, 0.05)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.pcolor)
+def pcolor(
+    *args: ArrayLike,
+    shading: Literal["flat", "nearest", "auto"] | None = None,
+    alpha: float | None = None,
+    norm: str | Normalize | None = None,
+    cmap: str | Colormap | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    colorizer: Colorizer | None = None,
+    data=None,
+    **kwargs,
+) -> Collection:
+    __ret = gca().pcolor(
+        *args,
+        shading=shading,
+        alpha=alpha,
+        norm=norm,
+        cmap=cmap,
+        vmin=vmin,
+        vmax=vmax,
+        colorizer=colorizer,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.pcolormesh)
+def pcolormesh(
+    *args: ArrayLike,
+    alpha: float | None = None,
+    norm: str | Normalize | None = None,
+    cmap: str | Colormap | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    colorizer: Colorizer | None = None,
+    shading: Literal["flat", "nearest", "gouraud", "auto"] | None = None,
+    antialiased: bool = False,
+    data=None,
+    **kwargs,
+) -> QuadMesh:
+    __ret = gca().pcolormesh(
+        *args,
+        alpha=alpha,
+        norm=norm,
+        cmap=cmap,
+        vmin=vmin,
+        vmax=vmax,
+        colorizer=colorizer,
+        shading=shading,
+        antialiased=antialiased,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.phase_spectrum)
+def phase_spectrum(
+    x: ArrayLike,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, Line2D]:
+    return gca().phase_spectrum(
+        x,
+        Fs=Fs,
+        Fc=Fc,
+        window=window,
+        pad_to=pad_to,
+        sides=sides,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.pie)
+def pie(
+    x: ArrayLike,
+    explode: ArrayLike | None = None,
+    labels: Sequence[str] | None = None,
+    colors: ColorType | Sequence[ColorType] | None = None,
+    autopct: str | Callable[[float], str] | None = None,
+    pctdistance: float = 0.6,
+    shadow: bool = False,
+    labeldistance: float | None = 1.1,
+    startangle: float = 0,
+    radius: float = 1,
+    counterclock: bool = True,
+    wedgeprops: dict[str, Any] | None = None,
+    textprops: dict[str, Any] | None = None,
+    center: tuple[float, float] = (0, 0),
+    frame: bool = False,
+    rotatelabels: bool = False,
+    *,
+    normalize: bool = True,
+    hatch: str | Sequence[str] | None = None,
+    data=None,
+) -> tuple[list[Wedge], list[Text]] | tuple[list[Wedge], list[Text], list[Text]]:
+    return gca().pie(
+        x,
+        explode=explode,
+        labels=labels,
+        colors=colors,
+        autopct=autopct,
+        pctdistance=pctdistance,
+        shadow=shadow,
+        labeldistance=labeldistance,
+        startangle=startangle,
+        radius=radius,
+        counterclock=counterclock,
+        wedgeprops=wedgeprops,
+        textprops=textprops,
+        center=center,
+        frame=frame,
+        rotatelabels=rotatelabels,
+        normalize=normalize,
+        hatch=hatch,
+        **({"data": data} if data is not None else {}),
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.plot)
+def plot(
+    *args: float | ArrayLike | str,
+    scalex: bool = True,
+    scaley: bool = True,
+    data=None,
+    **kwargs,
+) -> list[Line2D]:
+    return gca().plot(
+        *args,
+        scalex=scalex,
+        scaley=scaley,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.psd)
+def psd(
+    x: ArrayLike,
+    NFFT: int | None = None,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike], ArrayLike]
+    | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    noverlap: int | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    scale_by_freq: bool | None = None,
+    return_line: bool | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]:
+    return gca().psd(
+        x,
+        NFFT=NFFT,
+        Fs=Fs,
+        Fc=Fc,
+        detrend=detrend,
+        window=window,
+        noverlap=noverlap,
+        pad_to=pad_to,
+        sides=sides,
+        scale_by_freq=scale_by_freq,
+        return_line=return_line,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.quiver)
+def quiver(*args, data=None, **kwargs) -> Quiver:
+    __ret = gca().quiver(
+        *args, **({"data": data} if data is not None else {}), **kwargs
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.quiverkey)
+def quiverkey(
+    Q: Quiver, X: float, Y: float, U: float, label: str, **kwargs
+) -> QuiverKey:
+    return gca().quiverkey(Q, X, Y, U, label, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.scatter)
+def scatter(
+    x: float | ArrayLike,
+    y: float | ArrayLike,
+    s: float | ArrayLike | None = None,
+    c: ArrayLike | Sequence[ColorType] | ColorType | None = None,
+    marker: MarkerType | None = None,
+    cmap: str | Colormap | None = None,
+    norm: str | Normalize | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    alpha: float | None = None,
+    linewidths: float | Sequence[float] | None = None,
+    *,
+    edgecolors: Literal["face", "none"] | ColorType | Sequence[ColorType] | None = None,
+    colorizer: Colorizer | None = None,
+    plotnonfinite: bool = False,
+    data=None,
+    **kwargs,
+) -> PathCollection:
+    __ret = gca().scatter(
+        x,
+        y,
+        s=s,
+        c=c,
+        marker=marker,
+        cmap=cmap,
+        norm=norm,
+        vmin=vmin,
+        vmax=vmax,
+        alpha=alpha,
+        linewidths=linewidths,
+        edgecolors=edgecolors,
+        colorizer=colorizer,
+        plotnonfinite=plotnonfinite,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.semilogx)
+def semilogx(*args, **kwargs) -> list[Line2D]:
+    return gca().semilogx(*args, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.semilogy)
+def semilogy(*args, **kwargs) -> list[Line2D]:
+    return gca().semilogy(*args, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.specgram)
+def specgram(
+    x: ArrayLike,
+    NFFT: int | None = None,
+    Fs: float | None = None,
+    Fc: int | None = None,
+    detrend: Literal["none", "mean", "linear"]
+    | Callable[[ArrayLike], ArrayLike]
+    | None = None,
+    window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = None,
+    noverlap: int | None = None,
+    cmap: str | Colormap | None = None,
+    xextent: tuple[float, float] | None = None,
+    pad_to: int | None = None,
+    sides: Literal["default", "onesided", "twosided"] | None = None,
+    scale_by_freq: bool | None = None,
+    mode: Literal["default", "psd", "magnitude", "angle", "phase"] | None = None,
+    scale: Literal["default", "linear", "dB"] | None = None,
+    vmin: float | None = None,
+    vmax: float | None = None,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, np.ndarray, AxesImage]:
+    __ret = gca().specgram(
+        x,
+        NFFT=NFFT,
+        Fs=Fs,
+        Fc=Fc,
+        detrend=detrend,
+        window=window,
+        noverlap=noverlap,
+        cmap=cmap,
+        xextent=xextent,
+        pad_to=pad_to,
+        sides=sides,
+        scale_by_freq=scale_by_freq,
+        mode=mode,
+        scale=scale,
+        vmin=vmin,
+        vmax=vmax,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+    sci(__ret[-1])
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.spy)
+def spy(
+    Z: ArrayLike,
+    precision: float | Literal["present"] = 0,
+    marker: str | None = None,
+    markersize: float | None = None,
+    aspect: Literal["equal", "auto"] | float | None = "equal",
+    origin: Literal["upper", "lower"] = "upper",
+    **kwargs,
+) -> AxesImage:
+    __ret = gca().spy(
+        Z,
+        precision=precision,
+        marker=marker,
+        markersize=markersize,
+        aspect=aspect,
+        origin=origin,
+        **kwargs,
+    )
+    if isinstance(__ret, _ColorizerInterface):
+        sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.stackplot)
+def stackplot(
+    x, *args, labels=(), colors=None, hatch=None, baseline="zero", data=None, **kwargs
+):
+    return gca().stackplot(
+        x,
+        *args,
+        labels=labels,
+        colors=colors,
+        hatch=hatch,
+        baseline=baseline,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.stem)
+def stem(
+    *args: ArrayLike | str,
+    linefmt: str | None = None,
+    markerfmt: str | None = None,
+    basefmt: str | None = None,
+    bottom: float = 0,
+    label: str | None = None,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    data=None,
+) -> StemContainer:
+    return gca().stem(
+        *args,
+        linefmt=linefmt,
+        markerfmt=markerfmt,
+        basefmt=basefmt,
+        bottom=bottom,
+        label=label,
+        orientation=orientation,
+        **({"data": data} if data is not None else {}),
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.step)
+def step(
+    x: ArrayLike,
+    y: ArrayLike,
+    *args,
+    where: Literal["pre", "post", "mid"] = "pre",
+    data=None,
+    **kwargs,
+) -> list[Line2D]:
+    return gca().step(
+        x,
+        y,
+        *args,
+        where=where,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.streamplot)
+def streamplot(
+    x,
+    y,
+    u,
+    v,
+    density=1,
+    linewidth=None,
+    color=None,
+    cmap=None,
+    norm=None,
+    arrowsize=1,
+    arrowstyle="-|>",
+    minlength=0.1,
+    transform=None,
+    zorder=None,
+    start_points=None,
+    maxlength=4.0,
+    integration_direction="both",
+    broken_streamlines=True,
+    *,
+    integration_max_step_scale=1.0,
+    integration_max_error_scale=1.0,
+    num_arrows=1,
+    data=None,
+):
+    __ret = gca().streamplot(
+        x,
+        y,
+        u,
+        v,
+        density=density,
+        linewidth=linewidth,
+        color=color,
+        cmap=cmap,
+        norm=norm,
+        arrowsize=arrowsize,
+        arrowstyle=arrowstyle,
+        minlength=minlength,
+        transform=transform,
+        zorder=zorder,
+        start_points=start_points,
+        maxlength=maxlength,
+        integration_direction=integration_direction,
+        broken_streamlines=broken_streamlines,
+        integration_max_step_scale=integration_max_step_scale,
+        integration_max_error_scale=integration_max_error_scale,
+        num_arrows=num_arrows,
+        **({"data": data} if data is not None else {}),
+    )
+    sci(__ret.lines)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.table)
+def table(
+    cellText=None,
+    cellColours=None,
+    cellLoc="right",
+    colWidths=None,
+    rowLabels=None,
+    rowColours=None,
+    rowLoc="left",
+    colLabels=None,
+    colColours=None,
+    colLoc="center",
+    loc="bottom",
+    bbox=None,
+    edges="closed",
+    **kwargs,
+):
+    return gca().table(
+        cellText=cellText,
+        cellColours=cellColours,
+        cellLoc=cellLoc,
+        colWidths=colWidths,
+        rowLabels=rowLabels,
+        rowColours=rowColours,
+        rowLoc=rowLoc,
+        colLabels=colLabels,
+        colColours=colColours,
+        colLoc=colLoc,
+        loc=loc,
+        bbox=bbox,
+        edges=edges,
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.text)
+def text(
+    x: float, y: float, s: str, fontdict: dict[str, Any] | None = None, **kwargs
+) -> Text:
+    return gca().text(x, y, s, fontdict=fontdict, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.tick_params)
+def tick_params(axis: Literal["both", "x", "y"] = "both", **kwargs) -> None:
+    gca().tick_params(axis=axis, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.ticklabel_format)
+def ticklabel_format(
+    *,
+    axis: Literal["both", "x", "y"] = "both",
+    style: Literal["", "sci", "scientific", "plain"] | None = None,
+    scilimits: tuple[int, int] | None = None,
+    useOffset: bool | float | None = None,
+    useLocale: bool | None = None,
+    useMathText: bool | None = None,
+) -> None:
+    gca().ticklabel_format(
+        axis=axis,
+        style=style,
+        scilimits=scilimits,
+        useOffset=useOffset,
+        useLocale=useLocale,
+        useMathText=useMathText,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.tricontour)
+def tricontour(*args, **kwargs):
+    __ret = gca().tricontour(*args, **kwargs)
+    if __ret._A is not None:  # type: ignore[attr-defined]
+        sci(__ret)
+    return __ret
 
-    """
-    im = gci()
-    if im is None:
-        raise RuntimeError('You must first define an image, e.g., with imshow')
 
-    im.set_clim(vmin, vmax)
-    draw_if_interactive()
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.tricontourf)
+def tricontourf(*args, **kwargs):
+    __ret = gca().tricontourf(*args, **kwargs)
+    if __ret._A is not None:  # type: ignore[attr-defined]
+        sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.tripcolor)
+def tripcolor(
+    *args,
+    alpha=1.0,
+    norm=None,
+    cmap=None,
+    vmin=None,
+    vmax=None,
+    shading="flat",
+    facecolors=None,
+    **kwargs,
+):
+    __ret = gca().tripcolor(
+        *args,
+        alpha=alpha,
+        norm=norm,
+        cmap=cmap,
+        vmin=vmin,
+        vmax=vmax,
+        shading=shading,
+        facecolors=facecolors,
+        **kwargs,
+    )
+    sci(__ret)
+    return __ret
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.triplot)
+def triplot(*args, **kwargs):
+    return gca().triplot(*args, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.violinplot)
+def violinplot(
+    dataset: ArrayLike | Sequence[ArrayLike],
+    positions: ArrayLike | None = None,
+    vert: bool | None = None,
+    orientation: Literal["vertical", "horizontal"] = "vertical",
+    widths: float | ArrayLike = 0.5,
+    showmeans: bool = False,
+    showextrema: bool = True,
+    showmedians: bool = False,
+    quantiles: Sequence[float | Sequence[float]] | None = None,
+    points: int = 100,
+    bw_method: Literal["scott", "silverman"]
+    | float
+    | Callable[[GaussianKDE], float]
+    | None = None,
+    side: Literal["both", "low", "high"] = "both",
+    facecolor: Sequence[ColorType] | ColorType | None = None,
+    linecolor: Sequence[ColorType] | ColorType | None = None,
+    *,
+    data=None,
+) -> dict[str, Collection]:
+    return gca().violinplot(
+        dataset,
+        positions=positions,
+        vert=vert,
+        orientation=orientation,
+        widths=widths,
+        showmeans=showmeans,
+        showextrema=showextrema,
+        showmedians=showmedians,
+        quantiles=quantiles,
+        points=points,
+        bw_method=bw_method,
+        side=side,
+        facecolor=facecolor,
+        linecolor=linecolor,
+        **({"data": data} if data is not None else {}),
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.vlines)
+def vlines(
+    x: float | ArrayLike,
+    ymin: float | ArrayLike,
+    ymax: float | ArrayLike,
+    colors: ColorType | Sequence[ColorType] | None = None,
+    linestyles: LineStyleType = "solid",
+    label: str = "",
+    *,
+    data=None,
+    **kwargs,
+) -> LineCollection:
+    return gca().vlines(
+        x,
+        ymin,
+        ymax,
+        colors=colors,
+        linestyles=linestyles,
+        label=label,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.xcorr)
+def xcorr(
+    x: ArrayLike,
+    y: ArrayLike,
+    normed: bool = True,
+    detrend: Callable[[ArrayLike], ArrayLike] = mlab.detrend_none,
+    usevlines: bool = True,
+    maxlags: int = 10,
+    *,
+    data=None,
+    **kwargs,
+) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]:
+    return gca().xcorr(
+        x,
+        y,
+        normed=normed,
+        detrend=detrend,
+        usevlines=usevlines,
+        maxlags=maxlags,
+        **({"data": data} if data is not None else {}),
+        **kwargs,
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes._sci)
+def sci(im: ColorizingArtist) -> None:
+    gca()._sci(im)
 
 
-def set_cmap(cmap):
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.set_title)
+def title(
+    label: str,
+    fontdict: dict[str, Any] | None = None,
+    loc: Literal["left", "center", "right"] | None = None,
+    pad: float | None = None,
+    *,
+    y: float | None = None,
+    **kwargs,
+) -> Text:
+    return gca().set_title(label, fontdict=fontdict, loc=loc, pad=pad, y=y, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.set_xlabel)
+def xlabel(
+    xlabel: str,
+    fontdict: dict[str, Any] | None = None,
+    labelpad: float | None = None,
+    *,
+    loc: Literal["left", "center", "right"] | None = None,
+    **kwargs,
+) -> Text:
+    return gca().set_xlabel(
+        xlabel, fontdict=fontdict, labelpad=labelpad, loc=loc, **kwargs
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.set_ylabel)
+def ylabel(
+    ylabel: str,
+    fontdict: dict[str, Any] | None = None,
+    labelpad: float | None = None,
+    *,
+    loc: Literal["bottom", "center", "top"] | None = None,
+    **kwargs,
+) -> Text:
+    return gca().set_ylabel(
+        ylabel, fontdict=fontdict, labelpad=labelpad, loc=loc, **kwargs
+    )
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.set_xscale)
+def xscale(value: str | ScaleBase, **kwargs) -> None:
+    gca().set_xscale(value, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+@_copy_docstring_and_deprecators(Axes.set_yscale)
+def yscale(value: str | ScaleBase, **kwargs) -> None:
+    gca().set_yscale(value, **kwargs)
+
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def autumn() -> None:
     """
-    Set the default colormap.  Applies to the current image if any.
-    See help(colormaps) for more information.
+    Set the colormap to 'autumn'.
 
-    *cmap* must be a :class:`~matplotlib.colors.Colormap` instance, or
-    the name of a registered colormap.
-
-    See :func:`matplotlib.cm.register_cmap` and
-    :func:`matplotlib.cm.get_cmap`.
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
     """
-    cmap = cm.get_cmap(cmap)
-
-    rc('image', cmap=cmap.name)
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cmap)
-
-    draw_if_interactive()
+    set_cmap("autumn")
 
 
-@docstring.copy_dedent(_imread)
-def imread(*args, **kwargs):
-    return _imread(*args, **kwargs)
-
-
-@docstring.copy_dedent(_imsave)
-def imsave(*args, **kwargs):
-    return _imsave(*args, **kwargs)
-
-
-def matshow(A, fignum=None, **kw):
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def bone() -> None:
     """
-    Display an array as a matrix in a new figure window.
-
-    The origin is set at the upper left hand corner and rows (first
-    dimension of the array) are displayed horizontally.  The aspect
-    ratio of the figure window is that of the array, unless this would
-    make an excessively short or narrow figure.
-
-    Tick labels for the xaxis are placed on top.
-
-    With the exception of *fignum*, keyword arguments are passed to
-    :func:`~matplotlib.pyplot.imshow`.  You may set the *origin*
-    kwarg to "lower" if you want the first row in the array to be
-    at the bottom instead of the top.
+    Set the colormap to 'bone'.
 
-
-    *fignum*: [ None | integer | False ]
-      By default, :func:`matshow` creates a new figure window with
-      automatic numbering.  If *fignum* is given as an integer, the
-      created figure will use this figure number.  Because of how
-      :func:`matshow` tries to set the figure aspect ratio to be the
-      one of the array, if you provide the number of an already
-      existing figure, strange things may happen.
-
-      If *fignum* is *False* or 0, a new figure window will **NOT** be created.
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
     """
-    A = np.asanyarray(A)
-    if fignum is False or fignum is 0:
-        ax = gca()
-    else:
-        # Extract actual aspect ratio of array and make appropriately sized figure
-        fig = figure(fignum, figsize=figaspect(A))
-        ax  = fig.add_axes([0.15, 0.09, 0.775, 0.775])
-
-    im = ax.matshow(A, **kw)
-    sci(im)
-
-    draw_if_interactive()
-    return im
+    set_cmap("bone")
 
 
-def polar(*args, **kwargs):
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def cool() -> None:
     """
-    Make a polar plot.
-
-    call signature::
-
-      polar(theta, r, **kwargs)
-
-    Multiple *theta*, *r* arguments are supported, with format
-    strings, as in :func:`~matplotlib.pyplot.plot`.
+    Set the colormap to 'cool'.
 
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
     """
-    ax = gca(polar=True)
-    ret = ax.plot(*args, **kwargs)
-    draw_if_interactive()
-    return ret
+    set_cmap("cool")
 
 
-def plotfile(fname, cols=(0,), plotfuncs=None,
-             comments='#', skiprows=0, checkrows=5, delimiter=',',
-             names=None, subplots=True, newfig=True, **kwargs):
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def copper() -> None:
     """
-    Plot the data in in a file.
-
-    *cols* is a sequence of column identifiers to plot.  An identifier
-    is either an int or a string.  If it is an int, it indicates the
-    column number.  If it is a string, it indicates the column header.
-    matplotlib will make column headers lower case, replace spaces with
-    underscores, and remove all illegal characters; so ``'Adj Close*'``
-    will have name ``'adj_close'``.
+    Set the colormap to 'copper'.
 
-    - If len(*cols*) == 1, only that column will be plotted on the *y* axis.
-
-    - If len(*cols*) > 1, the first element will be an identifier for
-      data for the *x* axis and the remaining elements will be the
-      column indexes for multiple subplots if *subplots* is *True*
-      (the default), or for lines in a single subplot if *subplots*
-      is *False*.
-
-    *plotfuncs*, if not *None*, is a dictionary mapping identifier to
-    an :class:`~matplotlib.axes.Axes` plotting function as a string.
-    Default is 'plot', other choices are 'semilogy', 'fill', 'bar',
-    etc.  You must use the same type of identifier in the *cols*
-    vector as you use in the *plotfuncs* dictionary, e.g., integer
-    column numbers in both or column names in both. If *subplots*
-    is *False*, then including any function such as 'semilogy'
-    that changes the axis scaling will set the scaling for all
-    columns.
-
-    *comments*, *skiprows*, *checkrows*, *delimiter*, and *names*
-    are all passed on to :func:`matplotlib.pylab.csv2rec` to
-    load the data into a record array.
-
-    If *newfig* is *True*, the plot always will be made in a new figure;
-    if *False*, it will be made in the current figure if one exists,
-    else in a new figure.
-
-    kwargs are passed on to plotting functions.
-
-    Example usage::
-
-      # plot the 2nd and 4th column against the 1st in two subplots
-      plotfile(fname, (0,1,3))
-
-      # plot using column names; specify an alternate plot type for volume
-      plotfile(fname, ('date', 'volume', 'adj_close'),
-                                    plotfuncs={'volume': 'semilogy'})
-
-    Note: plotfile is intended as a convenience for quickly plotting
-    data from flat files; it is not intended as an alternative
-    interface to general plotting with pyplot or matplotlib.
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
     """
-
-    if newfig:
-        fig = figure()
-    else:
-        fig = gcf()
-
-    if len(cols)<1:
-        raise ValueError('must have at least one column of data')
-
-    if plotfuncs is None:
-        plotfuncs = dict()
-    r = mlab.csv2rec(fname, comments=comments, skiprows=skiprows,
-                     checkrows=checkrows, delimiter=delimiter, names=names)
-
-    def getname_val(identifier):
-        'return the name and column data for identifier'
-        if is_string_like(identifier):
-            return identifier, r[identifier]
-        elif is_numlike(identifier):
-            name = r.dtype.names[int(identifier)]
-            return name, r[name]
-        else:
-            raise TypeError('identifier must be a string or integer')
-
-    xname, x = getname_val(cols[0])
-    ynamelist = []
-
-    if len(cols)==1:
-        ax1 = fig.add_subplot(1,1,1)
-        funcname = plotfuncs.get(cols[0], 'plot')
-        func = getattr(ax1, funcname)
-        func(x, **kwargs)
-        ax1.set_ylabel(xname)
-    else:
-        N = len(cols)
-        for i in range(1,N):
-            if subplots:
-                if i==1:
-                    ax = ax1 = fig.add_subplot(N-1,1,i)
-                else:
-                    ax = fig.add_subplot(N-1,1,i, sharex=ax1)
-            elif i==1:
-                ax = fig.add_subplot(1,1,1)
-
-            yname, y = getname_val(cols[i])
-            ynamelist.append(yname)
-
-            funcname = plotfuncs.get(cols[i], 'plot')
-            func = getattr(ax, funcname)
-
-            func(x, y, **kwargs)
-            if subplots:
-                ax.set_ylabel(yname)
-            if ax.is_last_row():
-                ax.set_xlabel(xname)
-            else:
-                ax.set_xlabel('')
-
-    if not subplots:
-        ax.legend(ynamelist, loc='best')
-
-    if xname=='date':
-        fig.autofmt_xdate()
-
-    draw_if_interactive()
-
-
-def _autogen_docstring(base):
-    """Autogenerated wrappers will get their docstring from a base function
-    with an addendum."""
-    msg = "\n\nAdditional kwargs: hold = [True|False] overrides default hold state"
-    addendum = docstring.Appender(msg, '\n\n')
-    return lambda func: addendum(docstring.copy_dedent(base)(func))
-
-# This function cannot be generated by boilerplate.py because it may
-# return an image or a line.
-@_autogen_docstring(Axes.spy)
-def spy(Z, precision=0, marker=None, markersize=None, aspect='equal', hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.spy(Z, precision, marker, markersize, aspect, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    if isinstance(ret, cm.ScalarMappable):
-        sci(ret)
-    return ret
-
-
-################# REMAINING CONTENT GENERATED BY boilerplate.py ##############
+    set_cmap("copper")
 
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.acorr)
-def acorr(x, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.acorr(x, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def flag() -> None:
+    """
+    Set the colormap to 'flag'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("flag")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.angle_spectrum)
-def angle_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None,
-                   hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.angle_spectrum(x, Fs=Fs, Fc=Fc, window=window, pad_to=pad_to,
-                                sides=sides, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def gray() -> None:
+    """
+    Set the colormap to 'gray'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("gray")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.arrow)
-def arrow(x, y, dx, dy, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.arrow(x, y, dx, dy, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def hot() -> None:
+    """
+    Set the colormap to 'hot'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("hot")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.axhline)
-def axhline(y=0, xmin=0, xmax=1, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.axhline(y=y, xmin=xmin, xmax=xmax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def hsv() -> None:
+    """
+    Set the colormap to 'hsv'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("hsv")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.axhspan)
-def axhspan(ymin, ymax, xmin=0, xmax=1, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.axhspan(ymin, ymax, xmin=xmin, xmax=xmax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def jet() -> None:
+    """
+    Set the colormap to 'jet'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("jet")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.axvline)
-def axvline(x=0, ymin=0, ymax=1, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.axvline(x=x, ymin=ymin, ymax=ymax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def pink() -> None:
+    """
+    Set the colormap to 'pink'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("pink")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.axvspan)
-def axvspan(xmin, xmax, ymin=0, ymax=1, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def prism() -> None:
+    """
+    Set the colormap to 'prism'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("prism")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.bar)
-def bar(left, height, width=0.8, bottom=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.bar(left, height, width=width, bottom=bottom, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def spring() -> None:
+    """
+    Set the colormap to 'spring'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("spring")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.barh)
-def barh(bottom, width, height=0.8, left=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.barh(bottom, width, height=height, left=left, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def summer() -> None:
+    """
+    Set the colormap to 'summer'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("summer")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.broken_barh)
-def broken_barh(xranges, yrange, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.broken_barh(xranges, yrange, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def winter() -> None:
+    """
+    Set the colormap to 'winter'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("winter")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.boxplot)
-def boxplot(x, notch=False, sym=None, vert=True, whis=1.5, positions=None,
-            widths=None, patch_artist=False, bootstrap=None, usermedians=None,
-            conf_intervals=None, meanline=False, showmeans=False, showcaps=True,
-            showbox=True, showfliers=True, boxprops=None, labels=None,
-            flierprops=None, medianprops=None, meanprops=None, capprops=None,
-            whiskerprops=None, manage_xticks=True, hold=None):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.boxplot(x, notch=notch, sym=sym, vert=vert, whis=whis,
-                         positions=positions, widths=widths,
-                         patch_artist=patch_artist, bootstrap=bootstrap,
-                         usermedians=usermedians,
-                         conf_intervals=conf_intervals, meanline=meanline,
-                         showmeans=showmeans, showcaps=showcaps,
-                         showbox=showbox, showfliers=showfliers,
-                         boxprops=boxprops, labels=labels,
-                         flierprops=flierprops, medianprops=medianprops,
-                         meanprops=meanprops, capprops=capprops,
-                         whiskerprops=whiskerprops, manage_xticks=manage_xticks)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def magma() -> None:
+    """
+    Set the colormap to 'magma'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("magma")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.cohere)
-def cohere(x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
-           window=mlab.window_hanning, noverlap=0, pad_to=None, sides='default',
-           scale_by_freq=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.cohere(x, y, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
-                        window=window, noverlap=noverlap, pad_to=pad_to,
-                        sides=sides, scale_by_freq=scale_by_freq, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def inferno() -> None:
+    """
+    Set the colormap to 'inferno'.
 
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("inferno")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.clabel)
-def clabel(CS, *args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.clabel(CS, *args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
 
-    return ret
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def plasma() -> None:
+    """
+    Set the colormap to 'plasma'.
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.contour)
-def contour(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.contour(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    if ret._A is not None: sci(ret)
-    return ret
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("plasma")
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.contourf)
-def contourf(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.contourf(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    if ret._A is not None: sci(ret)
-    return ret
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.csd)
-def csd(x, y, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
-        noverlap=None, pad_to=None, sides=None, scale_by_freq=None,
-        return_line=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def viridis() -> None:
+    """
+    Set the colormap to 'viridis'.
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.csd(x, y, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
-                     window=window, noverlap=noverlap, pad_to=pad_to,
-                     sides=sides, scale_by_freq=scale_by_freq,
-                     return_line=return_line, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("viridis")
 
-    return ret
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.errorbar)
-def errorbar(x, y, yerr=None, xerr=None, fmt='', ecolor=None, elinewidth=None,
-             capsize=3, barsabove=False, lolims=False, uplims=False,
-             xlolims=False, xuplims=False, errorevery=1, capthick=None,
-             hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.
+def nipy_spectral() -> None:
+    """
+    Set the colormap to 'nipy_spectral'.
 
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.errorbar(x, y, yerr=yerr, xerr=xerr, fmt=fmt, ecolor=ecolor,
-                          elinewidth=elinewidth, capsize=capsize,
-                          barsabove=barsabove, lolims=lolims, uplims=uplims,
-                          xlolims=xlolims, xuplims=xuplims,
-                          errorevery=errorevery, capthick=capthick, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.eventplot)
-def eventplot(positions, orientation='horizontal', lineoffsets=1, linelengths=1,
-              linewidths=None, colors=None, linestyles='solid', hold=None,
-              **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.eventplot(positions, orientation=orientation,
-                           lineoffsets=lineoffsets, linelengths=linelengths,
-                           linewidths=linewidths, colors=colors,
-                           linestyles=linestyles, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.fill)
-def fill(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.fill(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.fill_between)
-def fill_between(x, y1, y2=0, where=None, interpolate=False, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.fill_between(x, y1, y2=y2, where=where,
-                              interpolate=interpolate, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.fill_betweenx)
-def fill_betweenx(y, x1, x2=0, where=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.fill_betweenx(y, x1, x2=x2, where=where, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.hexbin)
-def hexbin(x, y, C=None, gridsize=100, bins=None, xscale='linear',
-           yscale='linear', extent=None, cmap=None, norm=None, vmin=None,
-           vmax=None, alpha=None, linewidths=None, edgecolors='none',
-           reduce_C_function=np.mean, mincnt=None, marginals=False, hold=None,
-           **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.hexbin(x, y, C=C, gridsize=gridsize, bins=bins, xscale=xscale,
-                        yscale=yscale, extent=extent, cmap=cmap, norm=norm,
-                        vmin=vmin, vmax=vmax, alpha=alpha,
-                        linewidths=linewidths, edgecolors=edgecolors,
-                        reduce_C_function=reduce_C_function, mincnt=mincnt,
-                        marginals=marginals, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.hist)
-def hist(x, bins=10, range=None, normed=False, weights=None, cumulative=False,
-         bottom=None, histtype='bar', align='mid', orientation='vertical',
-         rwidth=None, log=False, color=None, label=None, stacked=False,
-         hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.hist(x, bins=bins, range=range, normed=normed,
-                      weights=weights, cumulative=cumulative, bottom=bottom,
-                      histtype=histtype, align=align, orientation=orientation,
-                      rwidth=rwidth, log=log, color=color, label=label,
-                      stacked=stacked, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.hist2d)
-def hist2d(x, y, bins=10, range=None, normed=False, weights=None, cmin=None,
-           cmax=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.hist2d(x, y, bins=bins, range=range, normed=normed,
-                        weights=weights, cmin=cmin, cmax=cmax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret[-1])
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.hlines)
-def hlines(y, xmin, xmax, colors='k', linestyles='solid', label='', hold=None,
-           **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.hlines(y, xmin, xmax, colors=colors, linestyles=linestyles,
-                        label=label, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.imshow)
-def imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None,
-           vmin=None, vmax=None, origin=None, extent=None, shape=None,
-           filternorm=1, filterrad=4.0, imlim=None, resample=None, url=None,
-           hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.imshow(X, cmap=cmap, norm=norm, aspect=aspect,
-                        interpolation=interpolation, alpha=alpha, vmin=vmin,
-                        vmax=vmax, origin=origin, extent=extent, shape=shape,
-                        filternorm=filternorm, filterrad=filterrad,
-                        imlim=imlim, resample=resample, url=url, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.loglog)
-def loglog(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.loglog(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.magnitude_spectrum)
-def magnitude_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None,
-                       sides=None, scale=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.magnitude_spectrum(x, Fs=Fs, Fc=Fc, window=window,
-                                    pad_to=pad_to, sides=sides, scale=scale,
-                                    **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.pcolor)
-def pcolor(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.pcolor(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.pcolormesh)
-def pcolormesh(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.pcolormesh(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.phase_spectrum)
-def phase_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None,
-                   hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.phase_spectrum(x, Fs=Fs, Fc=Fc, window=window, pad_to=pad_to,
-                                sides=sides, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.pie)
-def pie(x, explode=None, labels=None, colors=None, autopct=None,
-        pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=None,
-        radius=None, counterclock=True, wedgeprops=None, textprops=None,
-        center=(0, 0), frame=False, hold=None):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.pie(x, explode=explode, labels=labels, colors=colors,
-                     autopct=autopct, pctdistance=pctdistance, shadow=shadow,
-                     labeldistance=labeldistance, startangle=startangle,
-                     radius=radius, counterclock=counterclock,
-                     wedgeprops=wedgeprops, textprops=textprops, center=center,
-                     frame=frame)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.plot)
-def plot(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.plot(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.plot_date)
-def plot_date(x, y, fmt='o', tz=None, xdate=True, ydate=False, hold=None,
-              **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.plot_date(x, y, fmt=fmt, tz=tz, xdate=xdate, ydate=ydate,
-                           **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.psd)
-def psd(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
-        noverlap=None, pad_to=None, sides=None, scale_by_freq=None,
-        return_line=None, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.psd(x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
-                     window=window, noverlap=noverlap, pad_to=pad_to,
-                     sides=sides, scale_by_freq=scale_by_freq,
-                     return_line=return_line, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.quiver)
-def quiver(*args, **kw):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kw.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.quiver(*args, **kw)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.quiverkey)
-def quiverkey(*args, **kw):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kw.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.quiverkey(*args, **kw)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.scatter)
-def scatter(x, y, s=20, c='b', marker='o', cmap=None, norm=None, vmin=None,
-            vmax=None, alpha=None, linewidths=None, verts=None, hold=None,
-            **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.scatter(x, y, s=s, c=c, marker=marker, cmap=cmap, norm=norm,
-                         vmin=vmin, vmax=vmax, alpha=alpha,
-                         linewidths=linewidths, verts=verts, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.semilogx)
-def semilogx(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.semilogx(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.semilogy)
-def semilogy(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.semilogy(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.specgram)
-def specgram(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
-             noverlap=None, cmap=None, xextent=None, pad_to=None, sides=None,
-             scale_by_freq=None, mode=None, scale=None, vmin=None, vmax=None,
-             hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.specgram(x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
-                          window=window, noverlap=noverlap, cmap=cmap,
-                          xextent=xextent, pad_to=pad_to, sides=sides,
-                          scale_by_freq=scale_by_freq, mode=mode, scale=scale,
-                          vmin=vmin, vmax=vmax, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret[-1])
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.stackplot)
-def stackplot(x, *args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.stackplot(x, *args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.stem)
-def stem(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.stem(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.step)
-def step(x, y, *args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.step(x, y, *args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.streamplot)
-def streamplot(x, y, u, v, density=1, linewidth=None, color=None, cmap=None,
-               norm=None, arrowsize=1, arrowstyle='-|>', minlength=0.1,
-               transform=None, zorder=1, hold=None):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.streamplot(x, y, u, v, density=density, linewidth=linewidth,
-                            color=color, cmap=cmap, norm=norm,
-                            arrowsize=arrowsize, arrowstyle=arrowstyle,
-                            minlength=minlength, transform=transform,
-                            zorder=zorder)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret.lines)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.tricontour)
-def tricontour(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.tricontour(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    if ret._A is not None: sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.tricontourf)
-def tricontourf(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.tricontourf(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    if ret._A is not None: sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.tripcolor)
-def tripcolor(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.tripcolor(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-    sci(ret)
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.triplot)
-def triplot(*args, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kwargs.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.triplot(*args, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.violinplot)
-def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
-               showextrema=True, showmedians=False, points=100, bw_method=None,
-               hold=None):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.violinplot(dataset, positions=positions, vert=vert,
-                            widths=widths, showmeans=showmeans,
-                            showextrema=showextrema, showmedians=showmedians,
-                            points=points, bw_method=bw_method)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.vlines)
-def vlines(x, ymin, ymax, colors='k', linestyles='solid', label='', hold=None,
-           **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.vlines(x, ymin, ymax, colors=colors, linestyles=linestyles,
-                        label=label, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.xcorr)
-def xcorr(x, y, normed=True, detrend=mlab.detrend_none, usevlines=True,
-          maxlags=10, hold=None, **kwargs):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.xcorr(x, y, normed=normed, detrend=detrend,
-                       usevlines=usevlines, maxlags=maxlags, **kwargs)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@_autogen_docstring(Axes.barbs)
-def barbs(*args, **kw):
-    ax = gca()
-    # allow callers to override the hold state by passing hold=True|False
-    washold = ax.ishold()
-    hold = kw.pop('hold', None)
-    if hold is not None:
-        ax.hold(hold)
-    try:
-        ret = ax.barbs(*args, **kw)
-        draw_if_interactive()
-    finally:
-        ax.hold(washold)
-
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.cla)
-def cla():
-    ret = gca().cla()
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.grid)
-def grid(b=None, which='major', axis='both', **kwargs):
-    ret = gca().grid(b=b, which=which, axis=axis, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.legend)
-def legend(*args, **kwargs):
-    ret = gca().legend(*args, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.table)
-def table(**kwargs):
-    ret = gca().table(**kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.text)
-def text(x, y, s, fontdict=None, withdash=False, **kwargs):
-    ret = gca().text(x, y, s, fontdict=fontdict, withdash=withdash, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.annotate)
-def annotate(*args, **kwargs):
-    ret = gca().annotate(*args, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.ticklabel_format)
-def ticklabel_format(**kwargs):
-    ret = gca().ticklabel_format(**kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.locator_params)
-def locator_params(axis='both', tight=None, **kwargs):
-    ret = gca().locator_params(axis=axis, tight=tight, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.tick_params)
-def tick_params(axis='both', **kwargs):
-    ret = gca().tick_params(axis=axis, **kwargs)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.margins)
-def margins(*args, **kw):
-    ret = gca().margins(*args, **kw)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-@docstring.copy_dedent(Axes.autoscale)
-def autoscale(enable=True, axis='both', tight=None):
-    ret = gca().autoscale(enable=enable, axis=axis, tight=tight)
-    draw_if_interactive()
-    return ret
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def autumn():
-    '''
-    set the default colormap to autumn and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='autumn')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.autumn)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def bone():
-    '''
-    set the default colormap to bone and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='bone')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.bone)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def cool():
-    '''
-    set the default colormap to cool and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='cool')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.cool)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def copper():
-    '''
-    set the default colormap to copper and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='copper')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.copper)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def flag():
-    '''
-    set the default colormap to flag and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='flag')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.flag)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def gray():
-    '''
-    set the default colormap to gray and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='gray')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.gray)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def hot():
-    '''
-    set the default colormap to hot and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='hot')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.hot)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def hsv():
-    '''
-    set the default colormap to hsv and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='hsv')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.hsv)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def jet():
-    '''
-    set the default colormap to jet and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='jet')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.jet)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def pink():
-    '''
-    set the default colormap to pink and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='pink')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.pink)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def prism():
-    '''
-    set the default colormap to prism and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='prism')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.prism)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def spring():
-    '''
-    set the default colormap to spring and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='spring')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.spring)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def summer():
-    '''
-    set the default colormap to summer and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='summer')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.summer)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def winter():
-    '''
-    set the default colormap to winter and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='winter')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.winter)
-    draw_if_interactive()
-
-
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def spectral():
-    '''
-    set the default colormap to spectral and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='spectral')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.spectral)
-    draw_if_interactive()
-
-_setup_pyplot_info_docstrings()
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap("nipy_spectral")
diff --git a/lib/matplotlib/quiver.py b/lib/matplotlib/quiver.py
index 3a7bdaf8f747..91c510ca7060 100644
--- a/lib/matplotlib/quiver.py
+++ b/lib/matplotlib/quiver.py
@@ -14,379 +14,478 @@
 the Quiver code.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-import weakref
+import math
 
 import numpy as np
 from numpy import ma
-import matplotlib.collections as mcollections
-import matplotlib.transforms as transforms
-import matplotlib.text as mtext
+
+from matplotlib import _api, cbook, _docstring
 import matplotlib.artist as martist
-from matplotlib.artist import allow_rasterization
-from matplotlib import docstring
-import matplotlib.font_manager as font_manager
-import matplotlib.cbook as cbook
-from matplotlib.cbook import delete_masked_points
+import matplotlib.collections as mcollections
 from matplotlib.patches import CirclePolygon
-import math
+import matplotlib.text as mtext
+import matplotlib.transforms as transforms
 
 
 _quiver_doc = """
-Plot a 2-D field of arrows.
+Plot a 2D field of arrows.
 
-call signatures::
+Call signature::
 
-  quiver(U, V, **kw)
-  quiver(U, V, C, **kw)
-  quiver(X, Y, U, V, **kw)
-  quiver(X, Y, U, V, C, **kw)
+  quiver([X, Y], U, V, [C], /, **kwargs)
 
-Arguments:
+*X*, *Y* define the arrow locations, *U*, *V* define the arrow directions, and
+*C* optionally sets the color. The arguments *X*, *Y*, *U*, *V*, *C* are
+positional-only.
 
-  *X*, *Y*:
-    The x and y coordinates of the arrow locations (default is tail of
-    arrow; see *pivot* kwarg)
+**Arrow length**
 
-  *U*, *V*:
-    Give the x and y components of the arrow vectors
+The default settings auto-scales the length of the arrows to a reasonable size.
+To change this behavior see the *scale* and *scale_units* parameters.
 
-  *C*:
-    An optional array used to map colors to the arrows
+**Arrow shape**
 
-All arguments may be 1-D or 2-D arrays or sequences. If *X* and *Y*
-are absent, they will be generated as a uniform grid.  If *U* and *V*
-are 2-D arrays but *X* and *Y* are 1-D, and if ``len(X)`` and ``len(Y)``
-match the column and row dimensions of *U*, then *X* and *Y* will be
-expanded with :func:`numpy.meshgrid`.
+The arrow shape is determined by *width*, *headwidth*, *headlength* and
+*headaxislength*. See the notes below.
 
-*U*, *V*, *C* may be masked arrays, but masked *X*, *Y* are not
-supported at present.
+**Arrow styling**
 
-Keyword arguments:
+Each arrow is internally represented by a filled polygon with a default edge
+linewidth of 0. As a result, an arrow is rather a filled area, not a line with
+a head, and `.PolyCollection` properties like *linewidth*, *edgecolor*,
+*facecolor*, etc. act accordingly.
 
-  *units*: [ 'width' | 'height' | 'dots' | 'inches' | 'x' | 'y' | 'xy' ]
-    Arrow units; the arrow dimensions *except for length* are in
-    multiples of this unit.
 
-    * 'width' or 'height': the width or height of the axes
+Parameters
+----------
+X, Y : 1D or 2D array-like, optional
+    The x and y coordinates of the arrow locations.
 
-    * 'dots' or 'inches': pixels or inches, based on the figure dpi
+    If not given, they will be generated as a uniform integer meshgrid based
+    on the dimensions of *U* and *V*.
 
-    * 'x', 'y', or 'xy': *X*, *Y*, or sqrt(X^2+Y^2) data units
+    If *X* and *Y* are 1D but *U*, *V* are 2D, *X*, *Y* are expanded to 2D
+    using ``X, Y = np.meshgrid(X, Y)``. In this case ``len(X)`` and ``len(Y)``
+    must match the column and row dimensions of *U* and *V*.
 
-    The arrows scale differently depending on the units.  For
-    'x' or 'y', the arrows get larger as one zooms in; for other
-    units, the arrow size is independent of the zoom state.  For
-    'width or 'height', the arrow size increases with the width and
-    height of the axes, respectively, when the the window is resized;
-    for 'dots' or 'inches', resizing does not change the arrows.
+U, V : 1D or 2D array-like
+    The x and y direction components of the arrow vectors. The interpretation
+    of these components (in data or in screen space) depends on *angles*.
 
+    *U* and *V* must have the same number of elements, matching the number of
+    arrow locations in *X*, *Y*. *U* and *V* may be masked. Locations masked
+    in any of *U*, *V*, and *C* will not be drawn.
 
-  *angles*: [ 'uv' | 'xy' | array ]
-    With the default 'uv', the arrow aspect ratio is 1, so that
-    if *U*==*V* the angle of the arrow on the plot is 45 degrees
-    CCW from the *x*-axis.
-    With 'xy', the arrow points from (x,y) to (x+u, y+v).
-    Alternatively, arbitrary angles may be specified as an array
-    of values in degrees, CCW from the *x*-axis.
+C : 1D or 2D array-like, optional
+    Numeric data that defines the arrow colors by colormapping via *norm* and
+    *cmap*.
 
-  *scale*: [ *None* | float ]
-    Data units per arrow length unit, e.g., m/s per plot width; a smaller
-    scale parameter makes the arrow longer.  If *None*, a simple
-    autoscaling algorithm is used, based on the average vector length
-    and the number of vectors.  The arrow length unit is given by
-    the *scale_units* parameter
+    This does not support explicit colors. If you want to set colors directly,
+    use *color* instead.  The size of *C* must match the number of arrow
+    locations.
 
-  *scale_units*: *None*, or any of the *units* options.
-    For example, if *scale_units* is 'inches', *scale* is 2.0, and
-    ``(u,v) = (1,0)``, then the vector will be 0.5 inches long.
-    If *scale_units* is 'width', then the vector will be half the width
-    of the axes.
+angles : {'uv', 'xy'} or array-like, default: 'uv'
+    Method for determining the angle of the arrows.
 
-    If *scale_units* is 'x' then the vector will be 0.5 x-axis
-    units.  To plot vectors in the x-y plane, with u and v having
-    the same units as x and y, use
-    "angles='xy', scale_units='xy', scale=1".
+    - 'uv':  Arrow directions are based on
+      :ref:`display coordinates <coordinate-systems>`; i.e. a 45° angle will
+      always show up as diagonal on the screen, irrespective of figure or Axes
+      aspect ratio or Axes data ranges. This is useful when the arrows represent
+      a quantity whose direction is not tied to the x and y data coordinates.
 
-  *width*:
-    Shaft width in arrow units; default depends on choice of units,
-    above, and number of vectors; a typical starting value is about
-    0.005 times the width of the plot.
+      If *U* == *V* the orientation of the arrow on the plot is 45 degrees
+      counter-clockwise from the horizontal axis (positive to the right).
 
-  *headwidth*: scalar
-    Head width as multiple of shaft width, default is 3
+    - 'xy': Arrow direction in data coordinates, i.e. the arrows point from
+      (x, y) to (x+u, y+v). This is ideal for vector fields or gradient plots
+      where the arrows should directly represent movements or gradients in the
+      x and y directions.
 
-  *headlength*: scalar
-    Head length as multiple of shaft width, default is 5
+    - Arbitrary angles may be specified explicitly as an array of values
+      in degrees, counter-clockwise from the horizontal axis.
 
-  *headaxislength*: scalar
-    Head length at shaft intersection, default is 4.5
+      In this case *U*, *V* is only used to determine the length of the
+      arrows.
 
-  *minshaft*: scalar
-    Length below which arrow scales, in units of head length. Do not
-    set this to less than 1, or small arrows will look terrible!
-    Default is 1
+      For example, ``angles=[30, 60, 90]`` will orient the arrows at 30, 60, and 90
+      degrees respectively, regardless of the *U* and *V* components.
 
-  *minlength*: scalar
-    Minimum length as a multiple of shaft width; if an arrow length
-    is less than this, plot a dot (hexagon) of this diameter instead.
-    Default is 1.
+    Note: inverting a data axis will correspondingly invert the
+    arrows only with ``angles='xy'``.
 
-  *pivot*: [ 'tail' | 'middle' | 'tip' ]
-    The part of the arrow that is at the grid point; the arrow rotates
-    about this point, hence the name *pivot*.
+pivot : {'tail', 'mid', 'middle', 'tip'}, default: 'tail'
+    The part of the arrow that is anchored to the *X*, *Y* grid. The arrow
+    rotates about this point.
 
-  *color*: [ color | color sequence ]
-    This is a synonym for the
-    :class:`~matplotlib.collections.PolyCollection` facecolor kwarg.
-    If *C* has been set, *color* has no effect.
+    'mid' is a synonym for 'middle'.
 
-The defaults give a slightly swept-back arrow; to make the head a
-triangle, make *headaxislength* the same as *headlength*. To make the
-arrow more pointed, reduce *headwidth* or increase *headlength* and
-*headaxislength*. To make the head smaller relative to the shaft,
-scale down all the head parameters. You will probably do best to leave
-minshaft alone.
+scale : float, optional
+    Scales the length of the arrow inversely.
 
-linewidths and edgecolors can be used to customize the arrow
-outlines. Additional :class:`~matplotlib.collections.PolyCollection`
-keyword arguments:
+    Number of data values represented by one unit of arrow length on the plot.
+    For example, if the data represents velocity in meters per second (m/s), the
+    scale parameter determines how many meters per second correspond to one unit of
+    arrow length relative to the width of the plot.
+    Smaller scale parameter makes the arrow longer.
 
-%(PolyCollection)s
-""" % docstring.interpd.params
+    By default, an autoscaling algorithm is used to scale the arrow length to a
+    reasonable size, which is based on the average vector length and the number of
+    vectors.
 
-_quiverkey_doc = """
-Add a key to a quiver plot.
+    The arrow length unit is given by the *scale_units* parameter.
 
-Call signature::
+scale_units : {'width', 'height', 'dots', 'inches', 'x', 'y', 'xy'}, default: 'width'
 
-  quiverkey(Q, X, Y, U, label, **kw)
+    The physical image unit, which is used for rendering the scaled arrow data *U*, *V*.
 
-Arguments:
+    The rendered arrow length is given by
 
-  *Q*:
-    The Quiver instance returned by a call to quiver.
+        length in x direction = $\\frac{u}{\\mathrm{scale}} \\mathrm{scale_unit}$
 
-  *X*, *Y*:
-    The location of the key; additional explanation follows.
+        length in y direction = $\\frac{v}{\\mathrm{scale}} \\mathrm{scale_unit}$
 
-  *U*:
-    The length of the key
+    For example, ``(u, v) = (0.5, 0)`` with ``scale=10, scale_unit="width"`` results
+    in a horizontal arrow with a length of *0.5 / 10 * "width"*, i.e. 0.05 times the
+    Axes width.
 
-  *label*:
-    A string with the length and units of the key
+    Supported values are:
 
-Keyword arguments:
+    - 'width' or 'height': The arrow length is scaled relative to the width or height
+       of the Axes.
+       For example, ``scale_units='width', scale=1.0``, will result in an arrow length
+       of width of the Axes.
 
-  *coordinates* = [ 'axes' | 'figure' | 'data' | 'inches' ]
-    Coordinate system and units for *X*, *Y*: 'axes' and 'figure' are
-    normalized coordinate systems with 0,0 in the lower left and 1,1
-    in the upper right; 'data' are the axes data coordinates (used for
-    the locations of the vectors in the quiver plot itself); 'inches'
-    is position in the figure in inches, with 0,0 at the lower left
-    corner.
+    - 'dots': The arrow length of the arrows is in measured in display dots (pixels).
 
-  *color*:
-    overrides face and edge colors from *Q*.
+    - 'inches': Arrow lengths are scaled based on the DPI (dots per inch) of the figure.
+       This ensures that the arrows have a consistent physical size on the figure,
+       in inches, regardless of data values or plot scaling.
+       For example, ``(u, v) = (1, 0)`` with ``scale_units='inches', scale=2`` results
+       in a 0.5 inch-long arrow.
 
-  *labelpos* = [ 'N' | 'S' | 'E' | 'W' ]
-    Position the label above, below, to the right, to the left of the
-    arrow, respectively.
+    - 'x' or 'y': The arrow length is scaled relative to the x or y axis units.
+       For example, ``(u, v) = (0, 1)`` with ``scale_units='x', scale=1`` results
+       in a vertical arrow with the length of 1 x-axis unit.
 
-  *labelsep*:
-    Distance in inches between the arrow and the label.  Default is
-    0.1
+    - 'xy': Arrow length will be same as 'x' or 'y' units.
+       This is useful for creating vectors in the x-y plane where u and v have
+       the same units as x and y. To plot vectors in the x-y plane with u and v having
+       the same units as x and y, use ``angles='xy', scale_units='xy', scale=1``.
 
-  *labelcolor*:
-    defaults to default :class:`~matplotlib.text.Text` color.
+    Note: Setting *scale_units* without setting scale does not have any effect because
+    the scale units only differ by a constant factor and that is rescaled through
+    autoscaling.
 
-  *fontproperties*:
-    A dictionary with keyword arguments accepted by the
-    :class:`~matplotlib.font_manager.FontProperties` initializer:
-    *family*, *style*, *variant*, *size*, *weight*
+units : {'width', 'height', 'dots', 'inches', 'x', 'y', 'xy'}, default: 'width'
+    Affects the arrow size (except for the length). In particular, the shaft
+    *width* is measured in multiples of this unit.
 
-Any additional keyword arguments are used to override vector
-properties taken from *Q*.
+    Supported values are:
 
-The positioning of the key depends on *X*, *Y*, *coordinates*, and
-*labelpos*.  If *labelpos* is 'N' or 'S', *X*, *Y* give the position
-of the middle of the key arrow.  If *labelpos* is 'E', *X*, *Y*
-positions the head, and if *labelpos* is 'W', *X*, *Y* positions the
-tail; in either of these two cases, *X*, *Y* is somewhere in the
-middle of the arrow+label key object.
-"""
+    - 'width', 'height': The width or height of the Axes.
+    - 'dots', 'inches': Pixels or inches based on the figure dpi.
+    - 'x', 'y', 'xy': *X*, *Y* or :math:`\\sqrt{X^2 + Y^2}` in data units.
+
+    The following table summarizes how these values affect the visible arrow
+    size under zooming and figure size changes:
+
+    =================  =================   ==================
+    units              zoom                figure size change
+    =================  =================   ==================
+    'x', 'y', 'xy'     arrow size scales   —
+    'width', 'height'  —                   arrow size scales
+    'dots', 'inches'   —                   —
+    =================  =================   ==================
+
+width : float, optional
+    Shaft width in arrow units. All head parameters are relative to *width*.
+
+    The default depends on choice of *units* above, and number of vectors;
+    a typical starting value is about 0.005 times the width of the plot.
+
+headwidth : float, default: 3
+    Head width as multiple of shaft *width*. See the notes below.
+
+headlength : float, default: 5
+    Head length as multiple of shaft *width*. See the notes below.
+
+headaxislength : float, default: 4.5
+    Head length at shaft intersection as multiple of shaft *width*.
+    See the notes below.
+
+minshaft : float, default: 1
+    Length below which arrow scales, in units of head length. Do not
+    set this to less than 1, or small arrows will look terrible!
+
+minlength : float, default: 1
+    Minimum length as a multiple of shaft width; if an arrow length
+    is less than this, plot a dot (hexagon) of this diameter instead.
+
+color : :mpltype:`color` or list :mpltype:`color`, optional
+    Explicit color(s) for the arrows. If *C* has been set, *color* has no
+    effect.
+
+    This is a synonym for the `.PolyCollection` *facecolor* parameter.
+
+Other Parameters
+----------------
+data : indexable object, optional
+    DATA_PARAMETER_PLACEHOLDER
+
+**kwargs : `~matplotlib.collections.PolyCollection` properties, optional
+    All other keyword arguments are passed on to `.PolyCollection`:
+
+    %(PolyCollection:kwdoc)s
+
+Returns
+-------
+`~matplotlib.quiver.Quiver`
+
+See Also
+--------
+.Axes.quiverkey : Add a key to a quiver plot.
+
+Notes
+-----
+
+**Arrow shape**
+
+The arrow is drawn as a polygon using the nodes as shown below. The values
+*headwidth*, *headlength*, and *headaxislength* are in units of *width*.
+
+.. image:: /_static/quiver_sizes.svg
+   :width: 500px
+
+The defaults give a slightly swept-back arrow. Here are some guidelines how to
+get other head shapes:
+
+- To make the head a triangle, make *headaxislength* the same as *headlength*.
+- To make the arrow more pointed, reduce *headwidth* or increase *headlength*
+  and *headaxislength*.
+- To make the head smaller relative to the shaft, scale down all the head
+  parameters proportionally.
+- To remove the head completely, set all *head* parameters to 0.
+- To get a diamond-shaped head, make *headaxislength* larger than *headlength*.
+- Warning: For *headaxislength* < (*headlength* / *headwidth*), the "headaxis"
+  nodes (i.e. the ones connecting the head with the shaft) will protrude out
+  of the head in forward direction so that the arrow head looks broken.
+""" % _docstring.interpd.params
+
+_docstring.interpd.register(quiver_doc=_quiver_doc)
 
 
 class QuiverKey(martist.Artist):
-    """ Labelled arrow for use as a quiver plot scale key."""
+    """Labelled arrow for use as a quiver plot scale key."""
     halign = {'N': 'center', 'S': 'center', 'E': 'left', 'W': 'right'}
     valign = {'N': 'bottom', 'S': 'top', 'E': 'center', 'W': 'center'}
-    pivot = {'N': 'mid', 'S': 'mid', 'E': 'tip', 'W': 'tail'}
+    pivot = {'N': 'middle', 'S': 'middle', 'E': 'tip', 'W': 'tail'}
 
-    def __init__(self, Q, X, Y, U, label, **kw):
-        martist.Artist.__init__(self)
+    def __init__(self, Q, X, Y, U, label,
+                 *, angle=0, coordinates='axes', color=None, labelsep=0.1,
+                 labelpos='N', labelcolor=None, fontproperties=None,
+                 zorder=None, **kwargs):
+        """
+        Add a key to a quiver plot.
+
+        The positioning of the key depends on *X*, *Y*, *coordinates*, and
+        *labelpos*.  If *labelpos* is 'N' or 'S', *X*, *Y* give the position of
+        the middle of the key arrow.  If *labelpos* is 'E', *X*, *Y* positions
+        the head, and if *labelpos* is 'W', *X*, *Y* positions the tail; in
+        either of these two cases, *X*, *Y* is somewhere in the middle of the
+        arrow+label key object.
+
+        Parameters
+        ----------
+        Q : `~matplotlib.quiver.Quiver`
+            A `.Quiver` object as returned by a call to `~.Axes.quiver()`.
+        X, Y : float
+            The location of the key.
+        U : float
+            The length of the key.
+        label : str
+            The key label (e.g., length and units of the key).
+        angle : float, default: 0
+            The angle of the key arrow, in degrees anti-clockwise from the
+            horizontal axis.
+        coordinates : {'axes', 'figure', 'data', 'inches'}, default: 'axes'
+            Coordinate system and units for *X*, *Y*: 'axes' and 'figure' are
+            normalized coordinate systems with (0, 0) in the lower left and
+            (1, 1) in the upper right; 'data' are the axes data coordinates
+            (used for the locations of the vectors in the quiver plot itself);
+            'inches' is position in the figure in inches, with (0, 0) at the
+            lower left corner.
+        color : :mpltype:`color`
+            Overrides face and edge colors from *Q*.
+        labelpos : {'N', 'S', 'E', 'W'}
+            Position the label above, below, to the right, to the left of the
+            arrow, respectively.
+        labelsep : float, default: 0.1
+            Distance in inches between the arrow and the label.
+        labelcolor : :mpltype:`color`, default: :rc:`text.color`
+            Label color.
+        fontproperties : dict, optional
+            A dictionary with keyword arguments accepted by the
+            `~matplotlib.font_manager.FontProperties` initializer:
+            *family*, *style*, *variant*, *size*, *weight*.
+        zorder : float
+            The zorder of the key. The default is 0.1 above *Q*.
+        **kwargs
+            Any additional keyword arguments are used to override vector
+            properties taken from *Q*.
+        """
+        super().__init__()
         self.Q = Q
         self.X = X
         self.Y = Y
         self.U = U
-        self.coord = kw.pop('coordinates', 'axes')
-        self.color = kw.pop('color', None)
+        self.angle = angle
+        self.coord = coordinates
+        self.color = color
         self.label = label
-        self._labelsep_inches = kw.pop('labelsep', 0.1)
-        self.labelsep = (self._labelsep_inches * Q.ax.figure.dpi)
-
-        # try to prevent closure over the real self
-        weak_self = weakref.ref(self)
-
-        def on_dpi_change(fig):
-            self_weakref = weak_self()
-            if self_weakref is not None:
-                self_weakref.labelsep = (self_weakref._labelsep_inches*fig.dpi)
-                self_weakref._initialized = False  # simple brute force update
-                                           # works because _init is called
-                                           # at the start of draw.
-
-        self._cid = Q.ax.figure.callbacks.connect('dpi_changed',
-                                                  on_dpi_change)
-
-        self.labelpos = kw.pop('labelpos', 'N')
-        self.labelcolor = kw.pop('labelcolor', None)
-        self.fontproperties = kw.pop('fontproperties', dict())
-        self.kw = kw
-        _fp = self.fontproperties
-        #boxprops = dict(facecolor='red')
-        self.text = mtext.Text(
-                        text=label,  # bbox=boxprops,
-                        horizontalalignment=self.halign[self.labelpos],
-                        verticalalignment=self.valign[self.labelpos],
-                        fontproperties=font_manager.FontProperties(**_fp))
+        self._labelsep_inches = labelsep
 
+        self.labelpos = labelpos
+        self.labelcolor = labelcolor
+        self.fontproperties = fontproperties or dict()
+        self.kw = kwargs
+        self.text = mtext.Text(
+            text=label,
+            horizontalalignment=self.halign[self.labelpos],
+            verticalalignment=self.valign[self.labelpos],
+            fontproperties=self.fontproperties)
         if self.labelcolor is not None:
             self.text.set_color(self.labelcolor)
-        self._initialized = False
-        self.zorder = Q.zorder + 0.1
-
-    def remove(self):
-        """
-        Overload the remove method
-        """
-        self.Q.ax.figure.callbacks.disconnect(self._cid)
-        self._cid = None
-        # pass the remove call up the stack
-        martist.Artist.remove(self)
+        self._dpi_at_last_init = None
+        self.zorder = zorder if zorder is not None else Q.zorder + 0.1
 
-    __init__.__doc__ = _quiverkey_doc
+    @property
+    def labelsep(self):
+        return self._labelsep_inches * self.Q.axes.get_figure(root=True).dpi
 
     def _init(self):
-        if True:  # not self._initialized:
-            if not self.Q._initialized:
+        if True:  # self._dpi_at_last_init != self.axes.get_figure().dpi
+            if self.Q._dpi_at_last_init != self.Q.axes.get_figure(root=True).dpi:
                 self.Q._init()
             self._set_transform()
-            _pivot = self.Q.pivot
-            self.Q.pivot = self.pivot[self.labelpos]
-            # Hack: save and restore the Umask
-            _mask = self.Q.Umask
-            self.Q.Umask = ma.nomask
-            self.verts = self.Q._make_verts(np.array([self.U]),
-                                            np.zeros((1,)))
-            self.Q.Umask = _mask
-            self.Q.pivot = _pivot
-            kw = self.Q.polykw
-            kw.update(self.kw)
+            with cbook._setattr_cm(self.Q, pivot=self.pivot[self.labelpos],
+                                   # Hack: save and restore the Umask
+                                   Umask=ma.nomask):
+                u = self.U * np.cos(np.radians(self.angle))
+                v = self.U * np.sin(np.radians(self.angle))
+                self.verts = self.Q._make_verts([[0., 0.]],
+                                                np.array([u]), np.array([v]), 'uv')
+            kwargs = self.Q.polykw
+            kwargs.update(self.kw)
             self.vector = mcollections.PolyCollection(
-                                        self.verts,
-                                        offsets=[(self.X, self.Y)],
-                                        transOffset=self.get_transform(),
-                                        **kw)
+                self.verts,
+                offsets=[(self.X, self.Y)],
+                offset_transform=self.get_transform(),
+                **kwargs)
             if self.color is not None:
                 self.vector.set_color(self.color)
             self.vector.set_transform(self.Q.get_transform())
             self.vector.set_figure(self.get_figure())
-            self._initialized = True
+            self._dpi_at_last_init = self.Q.axes.get_figure(root=True).dpi
 
-    def _text_x(self, x):
-        if self.labelpos == 'E':
-            return x + self.labelsep
-        elif self.labelpos == 'W':
-            return x - self.labelsep
-        else:
-            return x
-
-    def _text_y(self, y):
-        if self.labelpos == 'N':
-            return y + self.labelsep
-        elif self.labelpos == 'S':
-            return y - self.labelsep
-        else:
-            return y
+    def _text_shift(self):
+        return {
+            "N": (0, +self.labelsep),
+            "S": (0, -self.labelsep),
+            "E": (+self.labelsep, 0),
+            "W": (-self.labelsep, 0),
+        }[self.labelpos]
 
-    @allow_rasterization
+    @martist.allow_rasterization
     def draw(self, renderer):
         self._init()
         self.vector.draw(renderer)
-        x, y = self.get_transform().transform_point((self.X, self.Y))
-        self.text.set_x(self._text_x(x))
-        self.text.set_y(self._text_y(y))
+        pos = self.get_transform().transform((self.X, self.Y))
+        self.text.set_position(pos + self._text_shift())
         self.text.draw(renderer)
+        self.stale = False
 
     def _set_transform(self):
-        if self.coord == 'data':
-            self.set_transform(self.Q.ax.transData)
-        elif self.coord == 'axes':
-            self.set_transform(self.Q.ax.transAxes)
-        elif self.coord == 'figure':
-            self.set_transform(self.Q.ax.figure.transFigure)
-        elif self.coord == 'inches':
-            self.set_transform(self.Q.ax.figure.dpi_scale_trans)
-        else:
-            raise ValueError('unrecognized coordinates')
+        fig = self.Q.axes.get_figure(root=False)
+        self.set_transform(_api.check_getitem({
+            "data": self.Q.axes.transData,
+            "axes": self.Q.axes.transAxes,
+            "figure": fig.transFigure,
+            "inches": fig.dpi_scale_trans,
+        }, coordinates=self.coord))
 
     def set_figure(self, fig):
-        martist.Artist.set_figure(self, fig)
+        super().set_figure(fig)
         self.text.set_figure(fig)
 
     def contains(self, mouseevent):
+        if self._different_canvas(mouseevent):
+            return False, {}
         # Maybe the dictionary should allow one to
         # distinguish between a text hit and a vector hit.
-        if (self.text.contains(mouseevent)[0]
-                or self.vector.contains(mouseevent)[0]):
+        if (self.text.contains(mouseevent)[0] or
+                self.vector.contains(mouseevent)[0]):
             return True, {}
         return False, {}
 
-    quiverkey_doc = _quiverkey_doc
 
+def _parse_args(*args, caller_name='function'):
+    """
+    Helper function to parse positional parameters for colored vector plots.
+
+    This is currently used for Quiver and Barbs.
+
+    Parameters
+    ----------
+    *args : list
+        list of 2-5 arguments. Depending on their number they are parsed to::
 
-# This is a helper function that parses out the various combination of
-# arguments for doing colored vector plots.  Pulling it out here
-# allows both Quiver and Barbs to use it
-def _parse_args(*args):
-    X, Y, U, V, C = [None] * 5
-    args = list(args)
+            U, V
+            U, V, C
+            X, Y, U, V
+            X, Y, U, V, C
 
-    # The use of atleast_1d allows for handling scalar arguments while also
-    # keeping masked arrays
-    if len(args) == 3 or len(args) == 5:
-        C = np.atleast_1d(args.pop(-1))
-    V = np.atleast_1d(args.pop(-1))
-    U = np.atleast_1d(args.pop(-1))
-    if U.ndim == 1:
-        nr, nc = 1, U.shape[0]
+    caller_name : str
+        Name of the calling method (used in error messages).
+    """
+    X = Y = C = None
+
+    nargs = len(args)
+    if nargs == 2:
+        # The use of atleast_1d allows for handling scalar arguments while also
+        # keeping masked arrays
+        U, V = np.atleast_1d(*args)
+    elif nargs == 3:
+        U, V, C = np.atleast_1d(*args)
+    elif nargs == 4:
+        X, Y, U, V = np.atleast_1d(*args)
+    elif nargs == 5:
+        X, Y, U, V, C = np.atleast_1d(*args)
     else:
-        nr, nc = U.shape
-    if len(args) == 2:  # remaining after removing U,V,C
-        X, Y = [np.array(a).ravel() for a in args]
+        raise _api.nargs_error(caller_name, takes="from 2 to 5", given=nargs)
+
+    nr, nc = (1, U.shape[0]) if U.ndim == 1 else U.shape
+
+    if X is not None:
+        X = X.ravel()
+        Y = Y.ravel()
         if len(X) == nc and len(Y) == nr:
-            X, Y = [a.ravel() for a in np.meshgrid(X, Y)]
+            X, Y = (a.ravel() for a in np.meshgrid(X, Y))
+        elif len(X) != len(Y):
+            raise ValueError('X and Y must be the same size, but '
+                             f'X.size is {X.size} and Y.size is {Y.size}.')
     else:
         indexgrid = np.meshgrid(np.arange(nc), np.arange(nr))
-        X, Y = [np.ravel(a) for a in indexgrid]
+        X, Y = (np.ravel(a) for a in indexgrid)
+    # Size validation for U, V, C is left to the set_UVC method.
     return X, Y, U, V, C
 
 
+def _check_consistent_shapes(*arrays):
+    all_shapes = {a.shape for a in arrays}
+    if len(all_shapes) != 1:
+        raise ValueError('The shapes of the passed in arrays do not match')
+
+
 class Quiver(mcollections.PolyCollection):
     """
     Specialized PolyCollection for arrows.
@@ -405,70 +504,49 @@ class Quiver(mcollections.PolyCollection):
     in the draw() method.
     """
 
-    @docstring.Substitution(_quiver_doc)
-    def __init__(self, ax, *args, **kw):
+    _PIVOT_VALS = ('tail', 'middle', 'tip')
+
+    @_docstring.Substitution(_quiver_doc)
+    def __init__(self, ax, *args,
+                 scale=None, headwidth=3, headlength=5, headaxislength=4.5,
+                 minshaft=1, minlength=1, units='width', scale_units=None,
+                 angles='uv', width=None, color='k', pivot='tail', **kwargs):
         """
         The constructor takes one required argument, an Axes
         instance, followed by the args and kwargs described
-        by the following pylab interface documentation:
+        by the following pyplot interface documentation:
         %s
         """
-        self.ax = ax
-        X, Y, U, V, C = _parse_args(*args)
+        self._axes = ax  # The attr actually set by the Artist.axes property.
+        X, Y, U, V, C = _parse_args(*args, caller_name='quiver')
         self.X = X
         self.Y = Y
-        self.XY = np.hstack((X[:, np.newaxis], Y[:, np.newaxis]))
+        self.XY = np.column_stack((X, Y))
         self.N = len(X)
-        self.scale = kw.pop('scale', None)
-        self.headwidth = kw.pop('headwidth', 3)
-        self.headlength = float(kw.pop('headlength', 5))
-        self.headaxislength = kw.pop('headaxislength', 4.5)
-        self.minshaft = kw.pop('minshaft', 1)
-        self.minlength = kw.pop('minlength', 1)
-        self.units = kw.pop('units', 'width')
-        self.scale_units = kw.pop('scale_units', None)
-        self.angles = kw.pop('angles', 'uv')
-        self.width = kw.pop('width', None)
-        self.color = kw.pop('color', 'k')
-        self.pivot = kw.pop('pivot', 'tail')
-        self.transform = kw.pop('transform', ax.transData)
-        kw.setdefault('facecolors', self.color)
-        kw.setdefault('linewidths', (0,))
-        mcollections.PolyCollection.__init__(self, [], offsets=self.XY,
-                                            transOffset=self.transform,
-                                            closed=False,
-                                            **kw)
-        self.polykw = kw
+        self.scale = scale
+        self.headwidth = headwidth
+        self.headlength = float(headlength)
+        self.headaxislength = headaxislength
+        self.minshaft = minshaft
+        self.minlength = minlength
+        self.units = units
+        self.scale_units = scale_units
+        self.angles = angles
+        self.width = width
+
+        if pivot.lower() == 'mid':
+            pivot = 'middle'
+        self.pivot = pivot.lower()
+        _api.check_in_list(self._PIVOT_VALS, pivot=self.pivot)
+
+        self.transform = kwargs.pop('transform', ax.transData)
+        kwargs.setdefault('facecolors', color)
+        kwargs.setdefault('linewidths', (0,))
+        super().__init__([], offsets=self.XY, offset_transform=self.transform,
+                         closed=False, **kwargs)
+        self.polykw = kwargs
         self.set_UVC(U, V, C)
-        self._initialized = False
-
-        self.keyvec = None
-        self.keytext = None
-
-        # try to prevent closure over the real self
-        weak_self = weakref.ref(self)
-
-        def on_dpi_change(fig):
-            self_weakref = weak_self()
-            if self_weakref is not None:
-                self_weakref._new_UV = True  # vertices depend on width, span
-                                     # which in turn depend on dpi
-                self_weakref._initialized = False  # simple brute force update
-                                           # works because _init is called
-                                           # at the start of draw.
-
-        self._cid = self.ax.figure.callbacks.connect('dpi_changed',
-                                                     on_dpi_change)
-
-    def remove(self):
-        """
-        Overload the remove method
-        """
-        # disconnect the call back
-        self.ax.figure.callbacks.disconnect(self._cid)
-        self._cid = None
-        # pass the remove call up the stack
-        mcollections.PolyCollection.remove(self)
+        self._dpi_at_last_init = None
 
     def _init(self):
         """
@@ -477,47 +555,52 @@ def _init(self):
         """
         # It seems that there are not enough event notifications
         # available to have this work on an as-needed basis at present.
-        if True:  # not self._initialized:
+        if True:  # self._dpi_at_last_init != self.axes.figure.dpi
             trans = self._set_transform()
-            ax = self.ax
-            sx, sy = trans.inverted().transform_point(
-                                            (ax.bbox.width, ax.bbox.height))
-            self.span = sx
+            self.span = trans.inverted().transform_bbox(self.axes.bbox).width
             if self.width is None:
-                sn = max(8, min(25, math.sqrt(self.N)))
+                sn = np.clip(math.sqrt(self.N), 8, 25)
                 self.width = 0.06 * self.span / sn
 
             # _make_verts sets self.scale if not already specified
-            if not self._initialized and self.scale is None:
-                self._make_verts(self.U, self.V)
+            if (self._dpi_at_last_init != self.axes.get_figure(root=True).dpi
+                    and self.scale is None):
+                self._make_verts(self.XY, self.U, self.V, self.angles)
 
-            self._initialized = True
+            self._dpi_at_last_init = self.axes.get_figure(root=True).dpi
 
     def get_datalim(self, transData):
         trans = self.get_transform()
-        transOffset = self.get_offset_transform()
-        full_transform = (trans - transData) + (transOffset - transData)
+        offset_trf = self.get_offset_transform()
+        full_transform = (trans - transData) + (offset_trf - transData)
         XY = full_transform.transform(self.XY)
         bbox = transforms.Bbox.null()
         bbox.update_from_data_xy(XY, ignore=True)
         return bbox
 
-    @allow_rasterization
+    @martist.allow_rasterization
     def draw(self, renderer):
         self._init()
-        if (self._new_UV or self.angles == 'xy'
-                or self.scale_units in ['x', 'y', 'xy']):
-            verts = self._make_verts(self.U, self.V)
-            self.set_verts(verts, closed=False)
-            self._new_UV = False
-        mcollections.PolyCollection.draw(self, renderer)
+        verts = self._make_verts(self.XY, self.U, self.V, self.angles)
+        self.set_verts(verts, closed=False)
+        super().draw(renderer)
+        self.stale = False
 
     def set_UVC(self, U, V, C=None):
-        U = ma.masked_invalid(U, copy=False).ravel()
-        V = ma.masked_invalid(V, copy=False).ravel()
+        # We need to ensure we have a copy, not a reference
+        # to an array that might change before draw().
+        U = ma.masked_invalid(U, copy=True).ravel()
+        V = ma.masked_invalid(V, copy=True).ravel()
+        if C is not None:
+            C = ma.masked_invalid(C, copy=True).ravel()
+        for name, var in zip(('U', 'V', 'C'), (U, V, C)):
+            if not (var is None or var.size == self.N or var.size == 1):
+                raise ValueError(f'Argument {name} has a size {var.size}'
+                                 f' which does not match {self.N},'
+                                 ' the number of arrow positions')
+
         mask = ma.mask_or(U.mask, V.mask, copy=False, shrink=True)
         if C is not None:
-            C = ma.masked_invalid(C, copy=False).ravel()
             mask = ma.mask_or(mask, C.mask, copy=False, shrink=True)
             if mask is ma.nomask:
                 C = C.filled()
@@ -528,44 +611,25 @@ def set_UVC(self, U, V, C=None):
         self.Umask = mask
         if C is not None:
             self.set_array(C)
-        self._new_UV = True
+        self.stale = True
 
     def _dots_per_unit(self, units):
-        """
-        Return a scale factor for converting from units to pixels
-        """
-        ax = self.ax
-        if units in ('x', 'y', 'xy'):
-            if units == 'x':
-                dx0 = ax.viewLim.width
-                dx1 = ax.bbox.width
-            elif units == 'y':
-                dx0 = ax.viewLim.height
-                dx1 = ax.bbox.height
-            else:  # 'xy' is assumed
-                dxx0 = ax.viewLim.width
-                dxx1 = ax.bbox.width
-                dyy0 = ax.viewLim.height
-                dyy1 = ax.bbox.height
-                dx1 = np.hypot(dxx1, dyy1)
-                dx0 = np.hypot(dxx0, dyy0)
-            dx = dx1 / dx0
-        else:
-            if units == 'width':
-                dx = ax.bbox.width
-            elif units == 'height':
-                dx = ax.bbox.height
-            elif units == 'dots':
-                dx = 1.0
-            elif units == 'inches':
-                dx = ax.figure.dpi
-            else:
-                raise ValueError('unrecognized units')
-        return dx
+        """Return a scale factor for converting from units to pixels."""
+        bb = self.axes.bbox
+        vl = self.axes.viewLim
+        return _api.check_getitem({
+            'x': bb.width / vl.width,
+            'y': bb.height / vl.height,
+            'xy': np.hypot(*bb.size) / np.hypot(*vl.size),
+            'width': bb.width,
+            'height': bb.height,
+            'dots': 1.,
+            'inches': self.axes.get_figure(root=True).dpi,
+        }, units=units)
 
     def _set_transform(self):
         """
-        Sets the PolygonCollection transform to go
+        Set the PolyCollection transform to go
         from arrow width units to pixels.
         """
         dx = self._dots_per_unit(self.units)
@@ -574,41 +638,48 @@ def _set_transform(self):
         self.set_transform(trans)
         return trans
 
-    def _angles_lengths(self, U, V, eps=1):
-        xy = self.ax.transData.transform(self.XY)
-        uv = np.hstack((U[:, np.newaxis], V[:, np.newaxis]))
-        xyp = self.ax.transData.transform(self.XY + eps * uv)
+    # Calculate angles and lengths for segment between (x, y), (x+u, y+v)
+    def _angles_lengths(self, XY, U, V, eps=1):
+        xy = self.axes.transData.transform(XY)
+        uv = np.column_stack((U, V))
+        xyp = self.axes.transData.transform(XY + eps * uv)
         dxy = xyp - xy
         angles = np.arctan2(dxy[:, 1], dxy[:, 0])
-        lengths = np.absolute(dxy[:, 0] + dxy[:, 1] * 1j) / eps
+        lengths = np.hypot(*dxy.T) / eps
         return angles, lengths
 
-    def _make_verts(self, U, V):
+    # XY is stacked [X, Y].
+    # See quiver() doc for meaning of X, Y, U, V, angles.
+    def _make_verts(self, XY, U, V, angles):
         uv = (U + V * 1j)
-        if self.angles == 'xy' and self.scale_units == 'xy':
+        str_angles = angles if isinstance(angles, str) else ''
+        if str_angles == 'xy' and self.scale_units == 'xy':
             # Here eps is 1 so that if we get U, V by diffing
             # the X, Y arrays, the vectors will connect the
             # points, regardless of the axis scaling (including log).
-            angles, lengths = self._angles_lengths(U, V, eps=1)
-        elif self.angles == 'xy' or self.scale_units == 'xy':
+            angles, lengths = self._angles_lengths(XY, U, V, eps=1)
+        elif str_angles == 'xy' or self.scale_units == 'xy':
             # Calculate eps based on the extents of the plot
             # so that we don't end up with roundoff error from
             # adding a small number to a large.
-            eps = np.abs(self.ax.dataLim.extents).max() * 0.001
-            angles, lengths = self._angles_lengths(U, V, eps=eps)
-        if self.scale_units == 'xy':
+            eps = np.abs(self.axes.dataLim.extents).max() * 0.001
+            angles, lengths = self._angles_lengths(XY, U, V, eps=eps)
+
+        if str_angles and self.scale_units == 'xy':
             a = lengths
         else:
-            a = np.absolute(uv)
+            a = np.abs(uv)
+
         if self.scale is None:
             sn = max(10, math.sqrt(self.N))
             if self.Umask is not ma.nomask:
                 amean = a[~self.Umask].mean()
             else:
                 amean = a.mean()
-            scale = 1.8 * amean * sn / self.span  # crude auto-scaling
-                # scale is typical arrow length as a multiple
-                # of the arrow width
+            # crude auto-scaling
+            # scale is typical arrow length as a multiple of the arrow width
+            scale = 1.8 * amean * sn / self.span
+
         if self.scale_units is None:
             if self.scale is None:
                 self.scale = scale
@@ -623,19 +694,15 @@ def _make_verts(self, U, V):
                 self.scale = scale * widthu_per_lenu
         length = a * (widthu_per_lenu / (self.scale * self.width))
         X, Y = self._h_arrows(length)
-        if self.angles == 'xy':
+        if str_angles == 'xy':
             theta = angles
-        elif self.angles == 'uv':
+        elif str_angles == 'uv':
             theta = np.angle(uv)
         else:
-            # Make a copy to avoid changing the input array.
-            theta = ma.masked_invalid(self.angles, copy=True).filled(0)
-            theta = theta.ravel()
-            theta *= (np.pi / 180.0)
-        theta.shape = (theta.shape[0], 1)  # for broadcasting
+            theta = ma.masked_invalid(np.deg2rad(angles)).filled(0)
+        theta = theta.reshape((-1, 1))  # for broadcasting
         xy = (X + Y * 1j) * np.exp(1j * theta) * self.width
-        xy = xy[:, :, np.newaxis]
-        XY = np.concatenate((xy.real, xy.imag), axis=2)
+        XY = np.stack((xy.real, xy.imag), axis=2)
         if self.Umask is not ma.nomask:
             XY = ma.array(XY)
             XY[self.Umask] = ma.masked
@@ -645,16 +712,16 @@ def _make_verts(self, U, V):
         return XY
 
     def _h_arrows(self, length):
-        """ length is in arrow width units """
+        """Length is in arrow width units."""
         # It might be possible to streamline the code
-        # and speed it up a bit by using complex (x,y)
+        # and speed it up a bit by using complex (x, y)
         # instead of separate arrays; but any gain would be slight.
         minsh = self.minshaft * self.headlength
         N = len(length)
         length = length.reshape(N, 1)
         # This number is chosen based on when pixel values overflow in Agg
         # causing rendering errors
-        #length = np.minimum(length, 2 ** 16)
+        # length = np.minimum(length, 2 ** 16)
         np.clip(length, 0, 2 ** 16, out=length)
         # x, y: normal horizontal arrow
         x = np.array([0, -self.headaxislength,
@@ -668,25 +735,28 @@ def _h_arrows(self, length):
                        minsh - self.headlength, minsh], np.float64)
         y0 = 0.5 * np.array([1, 1, self.headwidth, 0], np.float64)
         ii = [0, 1, 2, 3, 2, 1, 0, 0]
-        X = x.take(ii, 1)
-        Y = y.take(ii, 1)
+        X = x[:, ii]
+        Y = y[:, ii]
         Y[:, 3:-1] *= -1
-        X0 = x0.take(ii)
-        Y0 = y0.take(ii)
+        X0 = x0[ii]
+        Y0 = y0[ii]
         Y0[3:-1] *= -1
-        shrink = length / minsh
+        shrink = length / minsh if minsh != 0. else 0.
         X0 = shrink * X0[np.newaxis, :]
         Y0 = shrink * Y0[np.newaxis, :]
         short = np.repeat(length < minsh, 8, axis=1)
         # Now select X0, Y0 if short, otherwise X, Y
-        cbook._putmask(X, short, X0)
-        cbook._putmask(Y, short, Y0)
-        if self.pivot[:3] == 'mid':
+        np.copyto(X, X0, where=short)
+        np.copyto(Y, Y0, where=short)
+        if self.pivot == 'middle':
             X -= 0.5 * X[:, 3, np.newaxis]
-        elif self.pivot[:3] == 'tip':
-            X = X - X[:, 3, np.newaxis]   # numpy bug? using -= does not
-                                          # work here unless we multiply
-                                          # by a float first, as with 'mid'.
+        elif self.pivot == 'tip':
+            # numpy bug? using -= does not work here unless we multiply by a
+            # float first, as with 'mid'.
+            X = X - X[:, 3, np.newaxis]
+        elif self.pivot != 'tail':
+            _api.check_in_list(["middle", "tip", "tail"], pivot=self.pivot)
+
         tooshort = length < self.minlength
         if tooshort.any():
             # Use a heptagonal dot:
@@ -696,155 +766,154 @@ def _h_arrows(self, length):
             X1 = np.repeat(x1[np.newaxis, :], N, axis=0)
             Y1 = np.repeat(y1[np.newaxis, :], N, axis=0)
             tooshort = np.repeat(tooshort, 8, 1)
-            cbook._putmask(X, tooshort, X1)
-            cbook._putmask(Y, tooshort, Y1)
+            np.copyto(X, X1, where=tooshort)
+            np.copyto(Y, Y1, where=tooshort)
         # Mask handling is deferred to the caller, _make_verts.
         return X, Y
 
-    quiver_doc = _quiver_doc
 
-_barbs_doc = """
-Plot a 2-D field of barbs.
+_barbs_doc = r"""
+Plot a 2D field of wind barbs.
 
-Call signatures::
+Call signature::
+
+  barbs([X, Y], U, V, [C], /, **kwargs)
+
+Where *X*, *Y* define the barb locations, *U*, *V* define the barb
+directions, and *C* optionally sets the color.
+
+The arguments *X*, *Y*, *U*, *V*, *C* are positional-only and may be
+1D or 2D. *U*, *V*, *C* may be masked arrays, but masked *X*, *Y*
+are not supported at present.
+
+Barbs are traditionally used in meteorology as a way to plot the speed
+and direction of wind observations, but can technically be used to
+plot any two dimensional vector quantity.  As opposed to arrows, which
+give vector magnitude by the length of the arrow, the barbs give more
+quantitative information about the vector magnitude by putting slanted
+lines or a triangle for various increments in magnitude, as show
+schematically below::
+
+  :                   /\    \
+  :                  /  \    \
+  :                 /    \    \    \
+  :                /      \    \    \
+  :               ------------------------------
 
-  barb(U, V, **kw)
-  barb(U, V, C, **kw)
-  barb(X, Y, U, V, **kw)
-  barb(X, Y, U, V, C, **kw)
+The largest increment is given by a triangle (or "flag"). After those
+come full lines (barbs). The smallest increment is a half line.  There
+is only, of course, ever at most 1 half line.  If the magnitude is
+small and only needs a single half-line and no full lines or
+triangles, the half-line is offset from the end of the barb so that it
+can be easily distinguished from barbs with a single full line.  The
+magnitude for the barb shown above would nominally be 65, using the
+standard increments of 50, 10, and 5.
 
-Arguments:
+See also https://en.wikipedia.org/wiki/Wind_barb.
 
-  *X*, *Y*:
-    The x and y coordinates of the barb locations
-    (default is head of barb; see *pivot* kwarg)
+Parameters
+----------
+X, Y : 1D or 2D array-like, optional
+    The x and y coordinates of the barb locations. See *pivot* for how the
+    barbs are drawn to the x, y positions.
 
-  *U*, *V*:
-    Give the x and y components of the barb shaft
+    If not given, they will be generated as a uniform integer meshgrid based
+    on the dimensions of *U* and *V*.
 
-  *C*:
-    An optional array used to map colors to the barbs
+    If *X* and *Y* are 1D but *U*, *V* are 2D, *X*, *Y* are expanded to 2D
+    using ``X, Y = np.meshgrid(X, Y)``. In this case ``len(X)`` and ``len(Y)``
+    must match the column and row dimensions of *U* and *V*.
 
-All arguments may be 1-D or 2-D arrays or sequences. If *X* and *Y*
-are absent, they will be generated as a uniform grid.  If *U* and *V*
-are 2-D arrays but *X* and *Y* are 1-D, and if ``len(X)`` and ``len(Y)``
-match the column and row dimensions of *U*, then *X* and *Y* will be
-expanded with :func:`numpy.meshgrid`.
+U, V : 1D or 2D array-like
+    The x and y components of the barb shaft.
 
-*U*, *V*, *C* may be masked arrays, but masked *X*, *Y* are not
-supported at present.
+C : 1D or 2D array-like, optional
+    Numeric data that defines the barb colors by colormapping via *norm* and
+    *cmap*.
 
-Keyword arguments:
+    This does not support explicit colors. If you want to set colors directly,
+    use *barbcolor* instead.
 
-  *length*:
+length : float, default: 7
     Length of the barb in points; the other parts of the barb
     are scaled against this.
-    Default is 9
-
-  *pivot*: [ 'tip' | 'middle' ]
-    The part of the arrow that is at the grid point; the arrow rotates
-    about this point, hence the name *pivot*.  Default is 'tip'
-
-  *barbcolor*: [ color | color sequence ]
-    Specifies the color all parts of the barb except any flags.  This
-    parameter is analagous to the *edgecolor* parameter for polygons,
-    which can be used instead. However this parameter will override
-    facecolor.
-
-  *flagcolor*: [ color | color sequence ]
-    Specifies the color of any flags on the barb.  This parameter is
-    analagous to the *facecolor* parameter for polygons, which can be
-    used instead. However this parameter will override facecolor.  If
-    this is not set (and *C* has not either) then *flagcolor* will be
-    set to match *barbcolor* so that the barb has a uniform color. If
-    *C* has been set, *flagcolor* has no effect.
-
-  *sizes*:
-    A dictionary of coefficients specifying the ratio of a given
-    feature to the length of the barb. Only those values one wishes to
-    override need to be included.  These features include:
 
-        - 'spacing' - space between features (flags, full/half barbs)
+pivot : {'tip', 'middle'} or float, default: 'tip'
+    The part of the arrow that is anchored to the *X*, *Y* grid. The barb
+    rotates about this point. This can also be a number, which shifts the
+    start of the barb that many points away from grid point.
+
+barbcolor : :mpltype:`color` or color sequence
+    The color of all parts of the barb except for the flags.  This parameter
+    is analogous to the *edgecolor* parameter for polygons, which can be used
+    instead. However this parameter will override facecolor.
 
-        - 'height' - height (distance from shaft to top) of a flag or
-          full barb
+flagcolor : :mpltype:`color` or color sequence
+    The color of any flags on the barb.  This parameter is analogous to the
+    *facecolor* parameter for polygons, which can be used instead. However,
+    this parameter will override facecolor.  If this is not set (and *C* has
+    not either) then *flagcolor* will be set to match *barbcolor* so that the
+    barb has a uniform color. If *C* has been set, *flagcolor* has no effect.
 
-        - 'width' - width of a flag, twice the width of a full barb
+sizes : dict, optional
+    A dictionary of coefficients specifying the ratio of a given
+    feature to the length of the barb. Only those values one wishes to
+    override need to be included.  These features include:
 
-        - 'emptybarb' - radius of the circle used for low magnitudes
+    - 'spacing' - space between features (flags, full/half barbs)
+    - 'height' - height (distance from shaft to top) of a flag or full barb
+    - 'width' - width of a flag, twice the width of a full barb
+    - 'emptybarb' - radius of the circle used for low magnitudes
 
-  *fill_empty*:
-    A flag on whether the empty barbs (circles) that are drawn should
-    be filled with the flag color.  If they are not filled, they will
-    be drawn such that no color is applied to the center.  Default is
-    False
+fill_empty : bool, default: False
+    Whether the empty barbs (circles) that are drawn should be filled with
+    the flag color.  If they are not filled, the center is transparent.
 
-  *rounding*:
-    A flag to indicate whether the vector magnitude should be rounded
-    when allocating barb components.  If True, the magnitude is
-    rounded to the nearest multiple of the half-barb increment.  If
-    False, the magnitude is simply truncated to the next lowest
-    multiple.  Default is True
+rounding : bool, default: True
+    Whether the vector magnitude should be rounded when allocating barb
+    components.  If True, the magnitude is rounded to the nearest multiple
+    of the half-barb increment.  If False, the magnitude is simply truncated
+    to the next lowest multiple.
 
-  *barb_increments*:
+barb_increments : dict, optional
     A dictionary of increments specifying values to associate with
     different parts of the barb. Only those values one wishes to
     override need to be included.
 
-        - 'half' - half barbs (Default is 5)
-
-        - 'full' - full barbs (Default is 10)
-
-        - 'flag' - flags (default is 50)
+    - 'half' - half barbs (Default is 5)
+    - 'full' - full barbs (Default is 10)
+    - 'flag' - flags (default is 50)
 
-  *flip_barb*:
-    Either a single boolean flag or an array of booleans.  Single
-    boolean indicates whether the lines and flags should point
-    opposite to normal for all barbs.  An array (which should be the
-    same size as the other data arrays) indicates whether to flip for
-    each individual barb.  Normal behavior is for the barbs and lines
-    to point right (comes from wind barbs having these features point
-    towards low pressure in the Northern Hemisphere.)  Default is
-    False
+flip_barb : bool or array-like of bool, default: False
+    Whether the lines and flags should point opposite to normal.
+    Normal behavior is for the barbs and lines to point right (comes from wind
+    barbs having these features point towards low pressure in the Northern
+    Hemisphere).
 
-Barbs are traditionally used in meteorology as a way to plot the speed
-and direction of wind observations, but can technically be used to
-plot any two dimensional vector quantity.  As opposed to arrows, which
-give vector magnitude by the length of the arrow, the barbs give more
-quantitative information about the vector magnitude by putting slanted
-lines or a triangle for various increments in magnitude, as show
-schematically below::
-
- :     /\    \\
- :    /  \    \\
- :   /    \    \    \\
- :  /      \    \    \\
- : ------------------------------
+    A single value is applied to all barbs. Individual barbs can be flipped by
+    passing a bool array of the same size as *U* and *V*.
 
-.. note the double \\ at the end of each line to make the figure
-.. render correctly
+Returns
+-------
+barbs : `~matplotlib.quiver.Barbs`
 
-The largest increment is given by a triangle (or "flag"). After those
-come full lines (barbs). The smallest increment is a half line.  There
-is only, of course, ever at most 1 half line.  If the magnitude is
-small and only needs a single half-line and no full lines or
-triangles, the half-line is offset from the end of the barb so that it
-can be easily distinguished from barbs with a single full line.  The
-magnitude for the barb shown above would nominally be 65, using the
-standard increments of 50, 10, and 5.
+Other Parameters
+----------------
+data : indexable object, optional
+    DATA_PARAMETER_PLACEHOLDER
 
-linewidths and edgecolors can be used to customize the barb.
-Additional :class:`~matplotlib.collections.PolyCollection` keyword
-arguments:
+**kwargs
+    The barbs can further be customized using `.PolyCollection` keyword
+    arguments:
 
-%(PolyCollection)s
-""" % docstring.interpd.params
+    %(PolyCollection:kwdoc)s
+""" % _docstring.interpd.params
 
-docstring.interpd.update(barbs_doc=_barbs_doc)
+_docstring.interpd.register(barbs_doc=_barbs_doc)
 
 
 class Barbs(mcollections.PolyCollection):
-    '''
+    """
     Specialized PolyCollection for barbs.
 
     The only API method is :meth:`set_UVC`, which can be used to
@@ -852,159 +921,167 @@ class Barbs(mcollections.PolyCollection):
     are changed using the :meth:`set_offsets` collection method.
     Possibly this method will be useful in animations.
 
-    There is one internal function :meth:`_find_tails` which finds
+    There is one internal function :meth:`!_find_tails` which finds
     exactly what should be put on the barb given the vector magnitude.
-    From there :meth:`_make_barbs` is used to find the vertices of the
+    From there :meth:`!_make_barbs` is used to find the vertices of the
     polygon to represent the barb based on this information.
-    '''
-    #This may be an abuse of polygons here to render what is essentially maybe
-    #1 triangle and a series of lines.  It works fine as far as I can tell
-    #however.
-    @docstring.interpd
-    def __init__(self, ax, *args, **kw):
+    """
+
+    # This may be an abuse of polygons here to render what is essentially maybe
+    # 1 triangle and a series of lines.  It works fine as far as I can tell
+    # however.
+
+    @_docstring.interpd
+    def __init__(self, ax, *args,
+                 pivot='tip', length=7, barbcolor=None, flagcolor=None,
+                 sizes=None, fill_empty=False, barb_increments=None,
+                 rounding=True, flip_barb=False, **kwargs):
         """
         The constructor takes one required argument, an Axes
         instance, followed by the args and kwargs described
-        by the following pylab interface documentation:
+        by the following pyplot interface documentation:
         %(barbs_doc)s
         """
-        self._pivot = kw.pop('pivot', 'tip')
-        self._length = kw.pop('length', 7)
-        barbcolor = kw.pop('barbcolor', None)
-        flagcolor = kw.pop('flagcolor', None)
-        self.sizes = kw.pop('sizes', dict())
-        self.fill_empty = kw.pop('fill_empty', False)
-        self.barb_increments = kw.pop('barb_increments', dict())
-        self.rounding = kw.pop('rounding', True)
-        self.flip = kw.pop('flip_barb', False)
-        transform = kw.pop('transform', ax.transData)
-
-        #Flagcolor and and barbcolor provide convenience parameters for setting
-        #the facecolor and edgecolor, respectively, of the barb polygon.  We
-        #also work here to make the flag the same color as the rest of the barb
-        #by default
+        self.sizes = sizes or dict()
+        self.fill_empty = fill_empty
+        self.barb_increments = barb_increments or dict()
+        self.rounding = rounding
+        self.flip = np.atleast_1d(flip_barb)
+        transform = kwargs.pop('transform', ax.transData)
+        self._pivot = pivot
+        self._length = length
+
+        # Flagcolor and barbcolor provide convenience parameters for
+        # setting the facecolor and edgecolor, respectively, of the barb
+        # polygon.  We also work here to make the flag the same color as the
+        # rest of the barb by default
+
         if None in (barbcolor, flagcolor):
-            kw['edgecolors'] = 'face'
+            kwargs['edgecolors'] = 'face'
             if flagcolor:
-                kw['facecolors'] = flagcolor
+                kwargs['facecolors'] = flagcolor
             elif barbcolor:
-                kw['facecolors'] = barbcolor
+                kwargs['facecolors'] = barbcolor
             else:
-                #Set to facecolor passed in or default to black
-                kw.setdefault('facecolors', 'k')
+                # Set to facecolor passed in or default to black
+                kwargs.setdefault('facecolors', 'k')
         else:
-            kw['edgecolors'] = barbcolor
-            kw['facecolors'] = flagcolor
+            kwargs['edgecolors'] = barbcolor
+            kwargs['facecolors'] = flagcolor
+
+        # Explicitly set a line width if we're not given one, otherwise
+        # polygons are not outlined and we get no barbs
+        if 'linewidth' not in kwargs and 'lw' not in kwargs:
+            kwargs['linewidth'] = 1
 
-        #Parse out the data arrays from the various configurations supported
-        x, y, u, v, c = _parse_args(*args)
+        # Parse out the data arrays from the various configurations supported
+        x, y, u, v, c = _parse_args(*args, caller_name='barbs')
         self.x = x
         self.y = y
-        xy = np.hstack((x[:, np.newaxis], y[:, np.newaxis]))
+        xy = np.column_stack((x, y))
 
-        #Make a collection
+        # Make a collection
         barb_size = self._length ** 2 / 4  # Empirically determined
-        mcollections.PolyCollection.__init__(self, [], (barb_size,),
-                                             offsets=xy,
-                                             transOffset=transform, **kw)
+        super().__init__(
+            [], (barb_size,), offsets=xy, offset_transform=transform, **kwargs)
         self.set_transform(transforms.IdentityTransform())
 
         self.set_UVC(u, v, c)
 
     def _find_tails(self, mag, rounding=True, half=5, full=10, flag=50):
-        '''
-        Find how many of each of the tail pieces is necessary.  Flag
-        specifies the increment for a flag, barb for a full barb, and half for
-        half a barb. Mag should be the magnitude of a vector (i.e., >= 0).
-
-        This returns a tuple of:
-
-            (*number of flags*, *number of barbs*, *half_flag*, *empty_flag*)
-
-        *half_flag* is a boolean whether half of a barb is needed,
-        since there should only ever be one half on a given
-        barb. *empty_flag* flag is an array of flags to easily tell if
-        a barb is empty (too low to plot any barbs/flags.
-        '''
-
-        #If rounding, round to the nearest multiple of half, the smallest
-        #increment
+        """
+        Find how many of each of the tail pieces is necessary.
+
+        Parameters
+        ----------
+        mag : `~numpy.ndarray`
+            Vector magnitudes; must be non-negative (and an actual ndarray).
+        rounding : bool, default: True
+            Whether to round or to truncate to the nearest half-barb.
+        half, full, flag : float, defaults: 5, 10, 50
+            Increments for a half-barb, a barb, and a flag.
+
+        Returns
+        -------
+        n_flags, n_barbs : int array
+            For each entry in *mag*, the number of flags and barbs.
+        half_flag : bool array
+            For each entry in *mag*, whether a half-barb is needed.
+        empty_flag : bool array
+            For each entry in *mag*, whether nothing is drawn.
+        """
+        # If rounding, round to the nearest multiple of half, the smallest
+        # increment
         if rounding:
-            mag = half * (mag / half + 0.5).astype(np.int)
-
-        num_flags = np.floor(mag / flag).astype(np.int)
-        mag = np.mod(mag, flag)
-
-        num_barb = np.floor(mag / full).astype(np.int)
-        mag = np.mod(mag, full)
-
+            mag = half * np.around(mag / half)
+        n_flags, mag = divmod(mag, flag)
+        n_barb, mag = divmod(mag, full)
         half_flag = mag >= half
-        empty_flag = ~(half_flag | (num_flags > 0) | (num_barb > 0))
-
-        return num_flags, num_barb, half_flag, empty_flag
+        empty_flag = ~(half_flag | (n_flags > 0) | (n_barb > 0))
+        return n_flags.astype(int), n_barb.astype(int), half_flag, empty_flag
 
     def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
                     pivot, sizes, fill_empty, flip):
-        '''
-        This function actually creates the wind barbs.  *u* and *v*
-        are components of the vector in the *x* and *y* directions,
-        respectively.
-
-        *nflags*, *nbarbs*, and *half_barb*, empty_flag* are,
-        *respectively, the number of flags, number of barbs, flag for
-        *half a barb, and flag for empty barb, ostensibly obtained
-        *from :meth:`_find_tails`.
-
-        *length* is the length of the barb staff in points.
-
-        *pivot* specifies the point on the barb around which the
-        entire barb should be rotated.  Right now, valid options are
-        'head' and 'middle'.
-
-        *sizes* is a dictionary of coefficients specifying the ratio
-        of a given feature to the length of the barb. These features
-        include:
-
-            - *spacing*: space between features (flags, full/half
-               barbs)
-
-            - *height*: distance from shaft of top of a flag or full
-               barb
-
-            - *width* - width of a flag, twice the width of a full barb
-
-            - *emptybarb* - radius of the circle used for low
-               magnitudes
-
-        *fill_empty* specifies whether the circle representing an
-        empty barb should be filled or not (this changes the drawing
-        of the polygon).
-
-        *flip* is a flag indicating whether the features should be flipped to
-        the other side of the barb (useful for winds in the southern
-        hemisphere.
-
-        This function returns list of arrays of vertices, defining a polygon
-        for each of the wind barbs.  These polygons have been rotated to
-        properly align with the vector direction.
-        '''
+        """
+        Create the wind barbs.
+
+        Parameters
+        ----------
+        u, v
+            Components of the vector in the x and y directions, respectively.
+
+        nflags, nbarbs, half_barb, empty_flag
+            Respectively, the number of flags, number of barbs, flag for
+            half a barb, and flag for empty barb, ostensibly obtained from
+            :meth:`_find_tails`.
+
+        length
+            The length of the barb staff in points.
+
+        pivot : {"tip", "middle"} or number
+            The point on the barb around which the entire barb should be
+            rotated.  If a number, the start of the barb is shifted by that
+            many points from the origin.
+
+        sizes : dict
+            Coefficients specifying the ratio of a given feature to the length
+            of the barb. These features include:
+
+            - *spacing*: space between features (flags, full/half barbs).
+            - *height*: distance from shaft of top of a flag or full barb.
+            - *width*: width of a flag, twice the width of a full barb.
+            - *emptybarb*: radius of the circle used for low magnitudes.
+
+        fill_empty : bool
+            Whether the circle representing an empty barb should be filled or
+            not (this changes the drawing of the polygon).
+
+        flip : list of bool
+            Whether the features should be flipped to the other side of the
+            barb (useful for winds in the southern hemisphere).
+
+        Returns
+        -------
+        list of arrays of vertices
+            Polygon vertices for each of the wind barbs.  These polygons have
+            been rotated to properly align with the vector direction.
+        """
 
-        #These control the spacing and size of barb elements relative to the
-        #length of the shaft
+        # These control the spacing and size of barb elements relative to the
+        # length of the shaft
         spacing = length * sizes.get('spacing', 0.125)
         full_height = length * sizes.get('height', 0.4)
         full_width = length * sizes.get('width', 0.25)
         empty_rad = length * sizes.get('emptybarb', 0.15)
 
-        #Controls y point where to pivot the barb.
+        # Controls y point where to pivot the barb.
         pivot_points = dict(tip=0.0, middle=-length / 2.)
 
-        #Check for flip
-        if flip:
-            full_height = -full_height
-
         endx = 0.0
-        endy = pivot_points[pivot.lower()]
+        try:
+            endy = float(pivot)
+        except ValueError:
+            endy = pivot_points[pivot.lower()]
 
         # Get the appropriate angle for the vector components.  The offset is
         # due to the way the barb is initially drawn, going down the y-axis.
@@ -1026,17 +1103,20 @@ def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
 
         barb_list = []
         for index, angle in np.ndenumerate(angles):
-            #If the vector magnitude is too weak to draw anything, plot an
-            #empty circle instead
+            # If the vector magnitude is too weak to draw anything, plot an
+            # empty circle instead
             if empty_flag[index]:
-                #We can skip the transform since the circle has no preferred
-                #orientation
+                # We can skip the transform since the circle has no preferred
+                # orientation
                 barb_list.append(empty_barb)
                 continue
 
             poly_verts = [(endx, endy)]
             offset = length
 
+            # Handle if this barb should be flipped
+            barb_height = -full_height if flip[index] else full_height
+
             # Add vertices for each flag
             for i in range(nflags[index]):
                 # The spacing that works for the barbs is a little to much for
@@ -1046,7 +1126,7 @@ def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
                     offset += spacing / 2.
                 poly_verts.extend(
                     [[endx, endy + offset],
-                     [endx + full_height, endy - full_width / 2 + offset],
+                     [endx + barb_height, endy - full_width / 2 + offset],
                      [endx, endy - full_width + offset]])
 
                 offset -= full_width + spacing
@@ -1057,7 +1137,7 @@ def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
             for i in range(nbarbs[index]):
                 poly_verts.extend(
                     [(endx, endy + offset),
-                     (endx + full_height, endy + offset + full_width / 2),
+                     (endx + barb_height, endy + offset + full_width / 2),
                      (endx, endy + offset)])
 
                 offset -= spacing
@@ -1072,7 +1152,7 @@ def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
                     offset -= 1.5 * spacing
                 poly_verts.extend(
                     [(endx, endy + offset),
-                     (endx + full_height / 2, endy + offset + full_width / 4),
+                     (endx + barb_height / 2, endy + offset + full_width / 4),
                      (endx, endy + offset)])
 
             # Rotate the barb according the angle. Making the barb first and
@@ -1085,27 +1165,39 @@ def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
         return barb_list
 
     def set_UVC(self, U, V, C=None):
-        self.u = ma.masked_invalid(U, copy=False).ravel()
-        self.v = ma.masked_invalid(V, copy=False).ravel()
+        # We need to ensure we have a copy, not a reference to an array that
+        # might change before draw().
+        self.u = ma.masked_invalid(U, copy=True).ravel()
+        self.v = ma.masked_invalid(V, copy=True).ravel()
+
+        # Flip needs to have the same number of entries as everything else.
+        # Use broadcast_to to avoid a bloated array of identical values.
+        # (can't rely on actual broadcasting)
+        if len(self.flip) == 1:
+            flip = np.broadcast_to(self.flip, self.u.shape)
+        else:
+            flip = self.flip
+
         if C is not None:
-            c = ma.masked_invalid(C, copy=False).ravel()
-            x, y, u, v, c = delete_masked_points(self.x.ravel(),
-                                                 self.y.ravel(),
-                                                 self.u, self.v, c)
+            c = ma.masked_invalid(C, copy=True).ravel()
+            x, y, u, v, c, flip = cbook.delete_masked_points(
+                self.x.ravel(), self.y.ravel(), self.u, self.v, c,
+                flip.ravel())
+            _check_consistent_shapes(x, y, u, v, c, flip)
         else:
-            x, y, u, v = delete_masked_points(self.x.ravel(), self.y.ravel(),
-                                              self.u, self.v)
+            x, y, u, v, flip = cbook.delete_masked_points(
+                self.x.ravel(), self.y.ravel(), self.u, self.v, flip.ravel())
+            _check_consistent_shapes(x, y, u, v, flip)
 
         magnitude = np.hypot(u, v)
-        flags, barbs, halves, empty = self._find_tails(magnitude,
-                                                       self.rounding,
-                                                       **self.barb_increments)
+        flags, barbs, halves, empty = self._find_tails(
+            magnitude, self.rounding, **self.barb_increments)
 
         # Get the vertices for each of the barbs
 
         plot_barbs = self._make_barbs(u, v, flags, barbs, halves, empty,
                                       self._length, self._pivot, self.sizes,
-                                      self.fill_empty, self.flip)
+                                      self.fill_empty, flip)
         self.set_verts(plot_barbs)
 
         # Set the color array
@@ -1113,23 +1205,24 @@ def set_UVC(self, U, V, C=None):
             self.set_array(c)
 
         # Update the offsets in case the masked data changed
-        xy = np.hstack((x[:, np.newaxis], y[:, np.newaxis]))
+        xy = np.column_stack((x, y))
         self._offsets = xy
+        self.stale = True
 
     def set_offsets(self, xy):
         """
-        Set the offsets for the barb polygons.  This saves the offets passed in
-        and actually sets version masked as appropriate for the existing U/V
-        data. *offsets* should be a sequence.
+        Set the offsets for the barb polygons.  This saves the offsets passed
+        in and masks them as appropriate for the existing U/V data.
 
-        ACCEPTS: sequence of pairs of floats
+        Parameters
+        ----------
+        xy : sequence of pairs of floats
         """
         self.x = xy[:, 0]
         self.y = xy[:, 1]
-        x, y, u, v = delete_masked_points(self.x.ravel(), self.y.ravel(),
-                                          self.u, self.v)
-        xy = np.hstack((x[:, np.newaxis], y[:, np.newaxis]))
-        mcollections.PolyCollection.set_offsets(self, xy)
-    set_offsets.__doc__ = mcollections.PolyCollection.set_offsets.__doc__
-
-    barbs_doc = _barbs_doc
+        x, y, u, v = cbook.delete_masked_points(
+            self.x.ravel(), self.y.ravel(), self.u, self.v)
+        _check_consistent_shapes(x, y, u, v)
+        xy = np.column_stack((x, y))
+        super().set_offsets(xy)
+        self.stale = True
diff --git a/lib/matplotlib/quiver.pyi b/lib/matplotlib/quiver.pyi
new file mode 100644
index 000000000000..8a14083c4348
--- /dev/null
+++ b/lib/matplotlib/quiver.pyi
@@ -0,0 +1,184 @@
+import matplotlib.artist as martist
+import matplotlib.collections as mcollections
+from matplotlib.axes import Axes
+from matplotlib.figure import Figure, SubFigure
+from matplotlib.text import Text
+from matplotlib.transforms import Transform, Bbox
+
+
+import numpy as np
+from numpy.typing import ArrayLike
+from collections.abc import Sequence
+from typing import Any, Literal, overload
+from matplotlib.typing import ColorType
+
+class QuiverKey(martist.Artist):
+    halign: dict[Literal["N", "S", "E", "W"], Literal["left", "center", "right"]]
+    valign: dict[Literal["N", "S", "E", "W"], Literal["top", "center", "bottom"]]
+    pivot: dict[Literal["N", "S", "E", "W"], Literal["middle", "tip", "tail"]]
+    Q: Quiver
+    X: float
+    Y: float
+    U: float
+    angle: float
+    coord: Literal["axes", "figure", "data", "inches"]
+    color: ColorType | None
+    label: str
+    labelpos: Literal["N", "S", "E", "W"]
+    labelcolor: ColorType | None
+    fontproperties: dict[str, Any]
+    kw: dict[str, Any]
+    text: Text
+    zorder: float
+    def __init__(
+        self,
+        Q: Quiver,
+        X: float,
+        Y: float,
+        U: float,
+        label: str,
+        *,
+        angle: float = ...,
+        coordinates: Literal["axes", "figure", "data", "inches"] = ...,
+        color: ColorType | None = ...,
+        labelsep: float = ...,
+        labelpos: Literal["N", "S", "E", "W"] = ...,
+        labelcolor: ColorType | None = ...,
+        fontproperties: dict[str, Any] | None = ...,
+        zorder: float | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def labelsep(self) -> float: ...
+    def set_figure(self, fig: Figure | SubFigure) -> None: ...
+
+class Quiver(mcollections.PolyCollection):
+    X: ArrayLike
+    Y: ArrayLike
+    XY: ArrayLike
+    U: ArrayLike
+    V: ArrayLike
+    Umask: ArrayLike
+    N: int
+    scale: float | None
+    headwidth: float
+    headlength: float
+    headaxislength: float
+    minshaft: float
+    minlength: float
+    units: Literal["width", "height", "dots", "inches", "x", "y", "xy"]
+    scale_units: Literal["width", "height", "dots", "inches", "x", "y", "xy"] | None
+    angles: Literal["uv", "xy"] | ArrayLike
+    width: float | None
+    pivot: Literal["tail", "middle", "tip"]
+    transform: Transform
+    polykw: dict[str, Any]
+
+    @overload
+    def __init__(
+        self,
+        ax: Axes,
+        U: ArrayLike,
+        V: ArrayLike,
+        C: ArrayLike = ...,
+        *,
+        scale: float | None = ...,
+        headwidth: float = ...,
+        headlength: float = ...,
+        headaxislength: float = ...,
+        minshaft: float = ...,
+        minlength: float = ...,
+        units: Literal["width", "height", "dots", "inches", "x", "y", "xy"] = ...,
+        scale_units: Literal["width", "height", "dots", "inches", "x", "y", "xy"]
+        | None = ...,
+        angles: Literal["uv", "xy"] | ArrayLike = ...,
+        width: float | None = ...,
+        color: ColorType | Sequence[ColorType] = ...,
+        pivot: Literal["tail", "mid", "middle", "tip"] = ...,
+        **kwargs
+    ) -> None: ...
+    @overload
+    def __init__(
+        self,
+        ax: Axes,
+        X: ArrayLike,
+        Y: ArrayLike,
+        U: ArrayLike,
+        V: ArrayLike,
+        C: ArrayLike = ...,
+        *,
+        scale: float | None = ...,
+        headwidth: float = ...,
+        headlength: float = ...,
+        headaxislength: float = ...,
+        minshaft: float = ...,
+        minlength: float = ...,
+        units: Literal["width", "height", "dots", "inches", "x", "y", "xy"] = ...,
+        scale_units: Literal["width", "height", "dots", "inches", "x", "y", "xy"]
+        | None = ...,
+        angles: Literal["uv", "xy"] | ArrayLike = ...,
+        width: float | None = ...,
+        color: ColorType | Sequence[ColorType] = ...,
+        pivot: Literal["tail", "mid", "middle", "tip"] = ...,
+        **kwargs
+    ) -> None: ...
+    def get_datalim(self, transData: Transform) -> Bbox: ...
+    def set_UVC(
+        self, U: ArrayLike, V: ArrayLike, C: ArrayLike | None = ...
+    ) -> None: ...
+
+class Barbs(mcollections.PolyCollection):
+    sizes: dict[str, float]
+    fill_empty: bool
+    barb_increments: dict[str, float]
+    rounding: bool
+    flip: np.ndarray
+    x: ArrayLike
+    y: ArrayLike
+    u: ArrayLike
+    v: ArrayLike
+
+    @overload
+    def __init__(
+        self,
+        ax: Axes,
+        U: ArrayLike,
+        V: ArrayLike,
+        C: ArrayLike = ...,
+        *,
+        pivot: str = ...,
+        length: int = ...,
+        barbcolor: ColorType | Sequence[ColorType] | None = ...,
+        flagcolor: ColorType | Sequence[ColorType] | None = ...,
+        sizes: dict[str, float] | None = ...,
+        fill_empty: bool = ...,
+        barb_increments: dict[str, float] | None = ...,
+        rounding: bool = ...,
+        flip_barb: bool | ArrayLike = ...,
+        **kwargs
+    ) -> None: ...
+    @overload
+    def __init__(
+        self,
+        ax: Axes,
+        X: ArrayLike,
+        Y: ArrayLike,
+        U: ArrayLike,
+        V: ArrayLike,
+        C: ArrayLike = ...,
+        *,
+        pivot: str = ...,
+        length: int = ...,
+        barbcolor: ColorType | Sequence[ColorType] | None = ...,
+        flagcolor: ColorType | Sequence[ColorType] | None = ...,
+        sizes: dict[str, float] | None = ...,
+        fill_empty: bool = ...,
+        barb_increments: dict[str, float] | None = ...,
+        rounding: bool = ...,
+        flip_barb: bool | ArrayLike = ...,
+        **kwargs
+    ) -> None: ...
+    def set_UVC(
+        self, U: ArrayLike, V: ArrayLike, C: ArrayLike | None = ...
+    ) -> None: ...
+    def set_offsets(self, xy: ArrayLike) -> None: ...
diff --git a/lib/matplotlib/rcsetup.py b/lib/matplotlib/rcsetup.py
index 67724f1e4c01..02e3601ff4c2 100644
--- a/lib/matplotlib/rcsetup.py
+++ b/lib/matplotlib/rcsetup.py
@@ -1,283 +1,373 @@
 """
-The rcsetup module contains the default values and the validation code for
-customization using matplotlib's rc settings.
-
-Each rc setting is assigned a default value and a function used to validate
-any attempted changes to that setting. The default values and validation
-functions are defined in the rcsetup module, and are used to construct the
-rcParams global object which stores the settings and is referenced throughout
-matplotlib.
-
-These default values should be consistent with the default matplotlibrc file
-that actually reflects the values given here. Any additions or deletions to the
-parameter set listed here should also be visited to the
-:file:`matplotlibrc.template` in matplotlib's root source directory.
+The rcsetup module contains the validation code for customization using
+Matplotlib's rc settings.
+
+Each rc setting is assigned a function used to validate any attempted changes
+to that setting.  The validation functions are defined in the rcsetup module,
+and are used to construct the rcParams global object which stores the settings
+and is referenced throughout Matplotlib.
+
+The default values of the rc settings are set in the default matplotlibrc file.
+Any additions or deletions to the parameter set listed here should also be
+propagated to the :file:`lib/matplotlib/mpl-data/matplotlibrc` in Matplotlib's
+root source directory.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
 
+import ast
+from functools import lru_cache, reduce
+from numbers import Real
+import operator
 import os
-import warnings
-from matplotlib.fontconfig_pattern import parse_fontconfig_pattern
-from matplotlib.colors import is_color_like
-
-#interactive_bk = ['gtk', 'gtkagg', 'gtkcairo', 'qt4agg',
-#                  'tkagg', 'wx', 'wxagg', 'cocoaagg', 'webagg']
-# The capitalized forms are needed for ipython at present; this may
-# change for later versions.
+import re
 
-interactive_bk = ['GTK', 'GTKAgg', 'GTKCairo', 'MacOSX',
-                  'Qt4Agg', 'Qt5Agg', 'TkAgg', 'WX', 'WXAgg', 'CocoaAgg',
-                  'GTK3Cairo', 'GTK3Agg', 'WebAgg', 'nbAgg']
+import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _api, cbook
+from matplotlib.backends import backend_registry
+from matplotlib.cbook import ls_mapper
+from matplotlib.colors import Colormap, is_color_like
+from matplotlib._fontconfig_pattern import parse_fontconfig_pattern
+from matplotlib._enums import JoinStyle, CapStyle
 
-non_interactive_bk = ['agg', 'cairo', 'emf', 'gdk',
-                      'pdf', 'pgf', 'ps', 'svg', 'template']
-all_backends = interactive_bk + non_interactive_bk
+# Don't let the original cycler collide with our validating cycler
+from cycler import Cycler, cycler as ccycler
 
 
-class ValidateInStrings(object):
-    def __init__(self, key, valid, ignorecase=False):
-        'valid is a list of legal strings'
+class ValidateInStrings:
+    def __init__(self, key, valid, ignorecase=False, *,
+                 _deprecated_since=None):
+        """*valid* is a list of legal strings."""
         self.key = key
         self.ignorecase = ignorecase
+        self._deprecated_since = _deprecated_since
 
         def func(s):
             if ignorecase:
                 return s.lower()
             else:
                 return s
-        self.valid = dict([(func(k), k) for k in valid])
+        self.valid = {func(k): k for k in valid}
 
     def __call__(self, s):
-        if self.ignorecase:
+        if self._deprecated_since:
+            name, = (k for k, v in globals().items() if v is self)
+            _api.warn_deprecated(
+                self._deprecated_since, name=name, obj_type="function")
+        if self.ignorecase and isinstance(s, str):
             s = s.lower()
         if s in self.valid:
             return self.valid[s]
-        raise ValueError('Unrecognized %s string "%s": valid strings are %s'
-                         % (self.key, s, list(six.itervalues(self.valid))))
+        msg = (f"{s!r} is not a valid value for {self.key}; supported values "
+               f"are {[*self.valid.values()]}")
+        if (isinstance(s, str)
+                and (s.startswith('"') and s.endswith('"')
+                     or s.startswith("'") and s.endswith("'"))
+                and s[1:-1] in self.valid):
+            msg += "; remove quotes surrounding your string"
+        raise ValueError(msg)
+
+
+def _single_string_color_list(s, scalar_validator):
+    """
+    Convert the string *s* to a list of colors interpreting it either as a
+    color sequence name, or a string containing single-letter colors.
+    """
+    try:
+        colors = mpl.color_sequences[s]
+    except KeyError:
+        try:
+            # Sometimes, a list of colors might be a single string
+            # of single-letter colornames. So give that a shot.
+            colors = [scalar_validator(v.strip()) for v in s if v.strip()]
+        except ValueError:
+            raise ValueError(f'{s!r} is neither a color sequence name nor can '
+                             'it be interpreted as a list of colors')
+
+    return colors
+
+
+@lru_cache
+def _listify_validator(scalar_validator, allow_stringlist=False, *,
+                       n=None, doc=None):
+    def f(s):
+        if isinstance(s, str):
+            try:
+                val = [scalar_validator(v.strip()) for v in s.split(',')
+                       if v.strip()]
+            except Exception:
+                if allow_stringlist:
+                    # Special handling for colors
+                    val = _single_string_color_list(s, scalar_validator)
+                else:
+                    raise
+        # Allow any ordered sequence type -- generators, np.ndarray, pd.Series
+        # -- but not sets, whose iteration order is non-deterministic.
+        elif np.iterable(s) and not isinstance(s, (set, frozenset)):
+            # The condition on this list comprehension will preserve the
+            # behavior of filtering out any empty strings (behavior was
+            # from the original validate_stringlist()), while allowing
+            # any non-string/text scalar values such as numbers and arrays.
+            val = [scalar_validator(v) for v in s
+                   if not isinstance(v, str) or v]
+        else:
+            raise ValueError(
+                f"Expected str or other non-set iterable, but got {s}")
+        if n is not None and len(val) != n:
+            raise ValueError(
+                f"Expected {n} values, but there are {len(val)} values in {s}")
+        return val
+
+    try:
+        f.__name__ = f"{scalar_validator.__name__}list"
+    except AttributeError:  # class instance.
+        f.__name__ = f"{type(scalar_validator).__name__}List"
+    f.__qualname__ = f.__qualname__.rsplit(".", 1)[0] + "." + f.__name__
+    f.__doc__ = doc if doc is not None else scalar_validator.__doc__
+    return f
 
 
 def validate_any(s):
     return s
+validate_anylist = _listify_validator(validate_any)
 
 
-def validate_path_exists(s):
-    """If s is a path, return s, else False"""
-    if s is None:
-        return None
-    if os.path.exists(s):
+def _validate_date(s):
+    try:
+        np.datetime64(s)
         return s
-    else:
-        raise RuntimeError('"%s" should be a path but it does not exist' % s)
+    except ValueError:
+        raise ValueError(
+            f'{s!r} should be a string that can be parsed by numpy.datetime64')
 
 
 def validate_bool(b):
-    """Convert b to a boolean or raise"""
-    if isinstance(b, six.string_types):
+    """Convert b to ``bool`` or raise."""
+    if isinstance(b, str):
         b = b.lower()
     if b in ('t', 'y', 'yes', 'on', 'true', '1', 1, True):
         return True
     elif b in ('f', 'n', 'no', 'off', 'false', '0', 0, False):
         return False
     else:
-        raise ValueError('Could not convert "%s" to boolean' % b)
+        raise ValueError(f'Cannot convert {b!r} to bool')
 
 
-def validate_bool_maybe_none(b):
-    'Convert b to a boolean or raise'
-    if isinstance(b, six.string_types):
-        b = b.lower()
-    if b is None or b == 'none':
-        return None
-    if b in ('t', 'y', 'yes', 'on', 'true', '1', 1, True):
-        return True
-    elif b in ('f', 'n', 'no', 'off', 'false', '0', 0, False):
-        return False
-    else:
-        raise ValueError('Could not convert "%s" to boolean' % b)
+def validate_axisbelow(s):
+    try:
+        return validate_bool(s)
+    except ValueError:
+        if isinstance(s, str):
+            if s == 'line':
+                return 'line'
+    raise ValueError(f'{s!r} cannot be interpreted as'
+                     ' True, False, or "line"')
 
 
-def validate_float(s):
-    """convert s to float or raise"""
+def validate_dpi(s):
+    """Confirm s is string 'figure' or convert s to float or raise."""
+    if s == 'figure':
+        return s
     try:
         return float(s)
-    except ValueError:
-        raise ValueError('Could not convert "%s" to float' % s)
+    except ValueError as e:
+        raise ValueError(f'{s!r} is not string "figure" and '
+                         f'could not convert {s!r} to float') from e
+
+
+def _make_type_validator(cls, *, allow_none=False):
+    """
+    Return a validator that converts inputs to *cls* or raises (and possibly
+    allows ``None`` as well).
+    """
+
+    def validator(s):
+        if (allow_none and
+                (s is None or cbook._str_lower_equal(s, "none"))):
+            if cbook._str_lower_equal(s, "none") and s != "None":
+                _api.warn_deprecated(
+                    "3.11",
+                    message=f"Using the capitalization {s!r} in matplotlibrc for "
+                            "*None* is deprecated in %(removal)s and will lead to an "
+                            "error from version 3.13 onward. Please use 'None' "
+                            "instead."
+                )
+            return None
+        if cls is str and not isinstance(s, str):
+            raise ValueError(f'Could not convert {s!r} to str')
+        try:
+            return cls(s)
+        except (TypeError, ValueError) as e:
+            raise ValueError(
+                f'Could not convert {s!r} to {cls.__name__}') from e
+
+    validator.__name__ = f"validate_{cls.__name__}"
+    if allow_none:
+        validator.__name__ += "_or_None"
+    validator.__qualname__ = (
+        validator.__qualname__.rsplit(".", 1)[0] + "." + validator.__name__)
+    return validator
+
 
+validate_string = _make_type_validator(str)
+validate_string_or_None = _make_type_validator(str, allow_none=True)
+validate_stringlist = _listify_validator(
+    validate_string, doc='return a list of strings')
+validate_int = _make_type_validator(int)
+validate_int_or_None = _make_type_validator(int, allow_none=True)
+validate_float = _make_type_validator(float)
+validate_float_or_None = _make_type_validator(float, allow_none=True)
+validate_floatlist = _listify_validator(
+    validate_float, doc='return a list of floats')
 
-def validate_int(s):
-    """convert s to int or raise"""
+
+def _validate_marker(s):
     try:
-        return int(s)
-    except ValueError:
-        raise ValueError('Could not convert "%s" to int' % s)
+        return validate_int(s)
+    except ValueError as e:
+        try:
+            return validate_string(s)
+        except ValueError as e:
+            raise ValueError('Supported markers are [string, int]') from e
+
+
+_validate_markerlist = _listify_validator(
+    _validate_marker, doc='return a list of markers')
+
+
+def _validate_pathlike(s):
+    if isinstance(s, (str, os.PathLike)):
+        # Store value as str because savefig.directory needs to distinguish
+        # between "" (cwd) and "." (cwd, but gets updated by user selections).
+        return os.fsdecode(s)
+    else:
+        return validate_string(s)
 
 
 def validate_fonttype(s):
     """
-    confirm that this is a Postscript of PDF font type that we know how to
-    convert to
+    Confirm that this is a Postscript or PDF font type that we know how to
+    convert to.
     """
     fonttypes = {'type3':    3,
                  'truetype': 42}
     try:
         fonttype = validate_int(s)
     except ValueError:
-        if s.lower() in six.iterkeys(fonttypes):
+        try:
             return fonttypes[s.lower()]
-        raise ValueError(
-            'Supported Postscript/PDF font types are %s' %
-            list(six.iterkeys(fonttypes)))
+        except KeyError as e:
+            raise ValueError('Supported Postscript/PDF font types are %s'
+                             % list(fonttypes)) from e
     else:
-        if fonttype not in six.itervalues(fonttypes):
+        if fonttype not in fonttypes.values():
             raise ValueError(
                 'Supported Postscript/PDF font types are %s' %
-                list(six.itervalues(fonttypes)))
+                list(fonttypes.values()))
         return fonttype
 
 
-_validate_standard_backends = ValidateInStrings('backend',
-                                                all_backends,
-                                                ignorecase=True)
+_auto_backend_sentinel = object()
 
 
 def validate_backend(s):
-    if s.startswith('module://'):
+    if s is _auto_backend_sentinel or backend_registry.is_valid_backend(s):
         return s
     else:
-        return _validate_standard_backends(s)
-
-
-validate_qt4 = ValidateInStrings('backend.qt4', ['PyQt4', 'PySide', 'PyQt4v2'])
-validate_qt5 = ValidateInStrings('backend.qt5', ['PyQt5'])
-
-
-def validate_toolbar(s):
-    validator = ValidateInStrings(
-                'toolbar',
-                ['None', 'toolbar2'],
-                ignorecase=True)
-    return validator(s)
-
-
-def validate_maskedarray(v):
-    # 2008/12/12: start warning; later, remove all traces of maskedarray
-    try:
-        if v == 'obsolete':
-            return v
-    except ValueError:
-        pass
-    warnings.warn('rcParams key "maskedarray" is obsolete and has no effect;\n'
-                  ' please delete it from your matplotlibrc file')
-
-
-
-_seq_err_msg = ('You must supply exactly {n:d} values, you provided '
-                   '{num:d} values: {s}')
+        msg = (f"'{s}' is not a valid value for backend; supported values are "
+               f"{backend_registry.list_all()}")
+        raise ValueError(msg)
+
+
+def _validate_toolbar(s):
+    s = ValidateInStrings(
+        'toolbar', ['None', 'toolbar2', 'toolmanager'], ignorecase=True)(s)
+    if s == 'toolmanager':
+        _api.warn_external(
+            "Treat the new Tool classes introduced in v1.5 as experimental "
+            "for now; the API and rcParam may change in future versions.")
+    return s
 
-_str_err_msg = ('You must supply exactly {n:d} comma-separated values, '
-                'you provided '
-                '{num:d} comma-separated values: {s}')
 
+def validate_color_or_inherit(s):
+    """Return a valid color arg."""
+    if cbook._str_equal(s, 'inherit'):
+        return s
+    return validate_color(s)
 
-class validate_nseq_float(object):
-    def __init__(self, n):
-        self.n = n
 
-    def __call__(self, s):
-        """return a seq of n floats or raise"""
-        if isinstance(s, six.string_types):
-            s = s.split(',')
-            err_msg = _str_err_msg
-        else:
-            err_msg = _seq_err_msg
+def validate_color_or_auto(s):
+    if cbook._str_equal(s, 'auto'):
+        return s
+    return validate_color(s)
 
-        if len(s) != self.n:
-            raise ValueError(err_msg.format(n=self.n, num=len(s), s=s))
 
-        try:
-            return [float(val) for val in s]
-        except ValueError:
-            raise ValueError('Could not convert all entries to floats')
+def _validate_color_or_edge(s):
+    if cbook._str_equal(s, 'edge'):
+        return s
+    return validate_color(s)
 
 
-class validate_nseq_int(object):
-    def __init__(self, n):
-        self.n = n
+def validate_color_for_prop_cycle(s):
+    # N-th color cycle syntax can't go into the color cycle.
+    if isinstance(s, str) and re.match("^C[0-9]$", s):
+        raise ValueError(f"Cannot put cycle reference ({s!r}) in prop_cycler")
+    return validate_color(s)
 
-    def __call__(self, s):
-        """return a seq of n ints or raise"""
-        if isinstance(s, six.string_types):
-            s = s.split(',')
-            err_msg = _str_err_msg
-        else:
-            err_msg = _seq_err_msg
 
-        if len(s) != self.n:
-            raise ValueError(err_msg.format(n=self.n, num=len(s), s=s))
+def _validate_color_or_linecolor(s):
+    if cbook._str_equal(s, 'linecolor'):
+        return s
+    elif cbook._str_equal(s, 'mfc') or cbook._str_equal(s, 'markerfacecolor'):
+        return 'markerfacecolor'
+    elif cbook._str_equal(s, 'mec') or cbook._str_equal(s, 'markeredgecolor'):
+        return 'markeredgecolor'
+    elif s is None:
+        return None
+    elif isinstance(s, str) and len(s) == 6 or len(s) == 8:
+        stmp = '#' + s
+        if is_color_like(stmp):
+            return stmp
+        if s.lower() == 'none':
+            return None
+    elif is_color_like(s):
+        return s
 
-        try:
-            return [int(val) for val in s]
-        except ValueError:
-            raise ValueError('Could not convert all entries to ints')
+    raise ValueError(f'{s!r} does not look like a color arg')
 
 
 def validate_color(s):
-    'return a valid color arg'
-    try:
+    """Return a valid color arg."""
+    if isinstance(s, str):
         if s.lower() == 'none':
-            return 'None'
-    except AttributeError:
-        pass
+            return 'none'
+        if len(s) == 6 or len(s) == 8:
+            stmp = '#' + s
+            if is_color_like(stmp):
+                return stmp
+
     if is_color_like(s):
         return s
-    stmp = '#' + s
-    if is_color_like(stmp):
-        return stmp
-    # If it is still valid, it must be a tuple.
-    colorarg = s
-    msg = ''
-    if s.find(',') >= 0:
-        # get rid of grouping symbols
-        stmp = ''.join([c for c in s if c.isdigit() or c == '.' or c == ','])
-        vals = stmp.split(',')
-        if len(vals) != 3:
-            msg = '\nColor tuples must be length 3'
-        else:
-            try:
-                colorarg = [float(val) for val in vals]
-            except ValueError:
-                msg = '\nCould not convert all entries to floats'
-
-    if not msg and is_color_like(colorarg):
-        return colorarg
-
-    raise ValueError('%s does not look like a color arg%s' % (s, msg))
 
-
-def validate_colorlist(s):
-    'return a list of colorspecs'
-    if isinstance(s, six.string_types):
-        return [validate_color(c.strip()) for c in s.split(',')]
+    # If it is still valid, it must be a tuple (as a string from matplotlibrc).
+    try:
+        color = ast.literal_eval(s)
+    except (SyntaxError, ValueError):
+        pass
     else:
-        assert type(s) in [list, tuple]
-        return [validate_color(c) for c in s]
+        if is_color_like(color):
+            return color
 
+    raise ValueError(f'{s!r} does not look like a color arg')
 
-def validate_stringlist(s):
-    'return a list'
-    if isinstance(s, six.string_types):
-        return [six.text_type(v.strip()) for v in s.split(',') if v.strip()]
-    else:
-        assert type(s) in [list, tuple]
-        return [six.text_type(v) for v in s if v]
+
+validate_colorlist = _listify_validator(
+    validate_color, allow_stringlist=True, doc='return a list of colorspecs')
 
 
-validate_orientation = ValidateInStrings(
-    'orientation', ['landscape', 'portrait'])
+def _validate_cmap(s):
+    _api.check_isinstance((str, Colormap), cmap=s)
+    return s
 
 
 def validate_aspect(s):
@@ -285,551 +375,1008 @@ def validate_aspect(s):
         return s
     try:
         return float(s)
-    except ValueError:
-        raise ValueError('not a valid aspect specification')
+    except ValueError as e:
+        raise ValueError('not a valid aspect specification') from e
+
+
+def validate_fontsize_None(s):
+    if s is None or s == 'None':
+        return None
+    else:
+        return validate_fontsize(s)
 
 
 def validate_fontsize(s):
-    if isinstance(s, six.string_types):
+    fontsizes = ['xx-small', 'x-small', 'small', 'medium', 'large',
+                 'x-large', 'xx-large', 'smaller', 'larger']
+    if isinstance(s, str):
         s = s.lower()
-    if s in ['xx-small', 'x-small', 'small', 'medium', 'large', 'x-large',
-             'xx-large', 'smaller', 'larger']:
+    if s in fontsizes:
         return s
     try:
         return float(s)
-    except ValueError:
-        raise ValueError('not a valid font size')
+    except ValueError as e:
+        raise ValueError("%s is not a valid font size. Valid font sizes "
+                         "are %s." % (s, ", ".join(fontsizes))) from e
 
 
-def validate_font_properties(s):
-    parse_fontconfig_pattern(s)
-    return s
+validate_fontsizelist = _listify_validator(validate_fontsize)
 
 
-validate_fontset = ValidateInStrings(
-    'fontset',
-    ['cm', 'stix', 'stixsans', 'custom'])
+def validate_fontweight(s):
+    weights = [
+        'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman',
+        'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black']
+    # Note: Historically, weights have been case-sensitive in Matplotlib
+    if s in weights:
+        return s
+    try:
+        return int(s)
+    except (ValueError, TypeError) as e:
+        raise ValueError(f'{s} is not a valid font weight.') from e
 
-validate_mathtext_default = ValidateInStrings(
-    'default',
-    "rm cal it tt sf bf default bb frak circled scr regular".split())
 
-validate_verbose = ValidateInStrings(
-    'verbose',
-    ['silent', 'helpful', 'debug', 'debug-annoying'])
+def validate_fontstretch(s):
+    stretchvalues = [
+        'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed',
+        'normal', 'semi-expanded', 'expanded', 'extra-expanded',
+        'ultra-expanded']
+    # Note: Historically, stretchvalues have been case-sensitive in Matplotlib
+    if s in stretchvalues:
+        return s
+    try:
+        return int(s)
+    except (ValueError, TypeError) as e:
+        raise ValueError(f'{s} is not a valid font stretch.') from e
 
 
-def deprecate_savefig_extension(value):
-    warnings.warn("savefig.extension is deprecated.  Use savefig.format "
-                  "instead. Will be removed in 1.4.x")
-    return value
+def validate_font_properties(s):
+    parse_fontconfig_pattern(s)
+    return s
 
 
-def update_savefig_format(value):
-    # The old savefig.extension could also have a value of "auto", but
-    # the new savefig.format does not.  We need to fix this here.
-    value = six.text_type(value)
-    if value == 'auto':
-        value = 'png'
-    return value
+def _validate_mathtext_fallback(s):
+    _fallback_fonts = ['cm', 'stix', 'stixsans']
+    if isinstance(s, str):
+        s = s.lower()
+    if s is None or s == 'none':
+        return None
+    elif s.lower() in _fallback_fonts:
+        return s
+    else:
+        raise ValueError(
+            f"{s} is not a valid fallback font name. Valid fallback font "
+            f"names are {','.join(_fallback_fonts)}. Passing 'None' will turn "
+            "fallback off.")
 
 
-validate_ps_papersize = ValidateInStrings(
-    'ps_papersize',
-    ['auto', 'letter', 'legal', 'ledger',
-    'a0', 'a1', 'a2', 'a3', 'a4', 'a5', 'a6', 'a7', 'a8', 'a9', 'a10',
-    'b0', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'b7', 'b8', 'b9', 'b10',
-    ], ignorecase=True)
+def validate_whiskers(s):
+    try:
+        return _listify_validator(validate_float, n=2)(s)
+    except (TypeError, ValueError):
+        try:
+            return float(s)
+        except ValueError as e:
+            raise ValueError("Not a valid whisker value [float, "
+                             "(float, float)]") from e
 
 
 def validate_ps_distiller(s):
-    if isinstance(s, six.string_types):
+    if isinstance(s, str):
         s = s.lower()
-    if s in ('none', None):
+    if s in ('none', None, 'false', False):
         return None
-    elif s in ('false', False):
-        return False
-    elif s in ('ghostscript', 'xpdf'):
-        return s
     else:
-        raise ValueError('matplotlibrc ps.usedistiller must either be none, '
-                         'ghostscript or xpdf')
+        return ValidateInStrings('ps.usedistiller', ['ghostscript', 'xpdf'])(s)
 
-validate_joinstyle = ValidateInStrings('joinstyle',
-                                       ['miter', 'round', 'bevel'],
-                                       ignorecase=True)
 
-validate_capstyle = ValidateInStrings('capstyle',
-                                      ['butt', 'round', 'projecting'],
-                                      ignorecase=True)
+# A validator dedicated to the named line styles, based on the items in
+# ls_mapper, and a list of possible strings read from Line2D.set_linestyle
+_validate_named_linestyle = ValidateInStrings(
+    'linestyle',
+    [*ls_mapper.keys(), *ls_mapper.values(), 'None', 'none', ' ', ''],
+    ignorecase=True)
 
-validate_negative_linestyle = ValidateInStrings('negative_linestyle',
-                                                ['solid', 'dashed'],
-                                                ignorecase=True)
 
+def _validate_linestyle(ls):
+    """
+    A validator for all possible line styles, the named ones *and*
+    the on-off ink sequences.
+    """
+    if isinstance(ls, str):
+        try:  # Look first for a valid named line style, like '--' or 'solid'.
+            return _validate_named_linestyle(ls)
+        except ValueError:
+            pass
+        try:
+            ls = ast.literal_eval(ls)  # Parsing matplotlibrc.
+        except (SyntaxError, ValueError):
+            pass  # Will error with the ValueError at the end.
+
+    def _is_iterable_not_string_like(x):
+        # Explicitly exclude bytes/bytearrays so that they are not
+        # nonsensically interpreted as sequences of numbers (codepoints).
+        return np.iterable(x) and not isinstance(x, (str, bytes, bytearray))
+
+    if _is_iterable_not_string_like(ls):
+        if len(ls) == 2 and _is_iterable_not_string_like(ls[1]):
+            # (offset, (on, off, on, off, ...))
+            offset, onoff = ls
+        else:
+            # For backcompat: (on, off, on, off, ...); the offset is implicit.
+            offset = 0
+            onoff = ls
 
-def validate_negative_linestyle_legacy(s):
-    try:
-        res = validate_negative_linestyle(s)
-        return res
-    except ValueError:
-        dashes = validate_nseq_float(2)(s)
-        warnings.warn("Deprecated negative_linestyle specification; use "
-                      "'solid' or 'dashed'")
-        return (0, dashes)  # (offset, (solid, blank))
-
-
-def validate_tkpythoninspect(s):
-    # Introduced 2010/07/05
-    warnings.warn("tk.pythoninspect is obsolete, and has no effect")
-    return validate_bool(s)
-
-validate_legend_loc = ValidateInStrings(
-    'legend_loc',
-    ['best',
-     'upper right',
-     'upper left',
-     'lower left',
-     'lower right',
-     'right',
-     'center left',
-     'center right',
-     'lower center',
-     'upper center',
-     'center'], ignorecase=True)
-
-
-def deprecate_svg_embed_char_paths(value):
-    warnings.warn("svg.embed_char_paths is deprecated.  Use "
-                  "svg.fonttype instead.")
-
-validate_svg_fonttype = ValidateInStrings('svg.fonttype',
-                                          ['none', 'path', 'svgfont'])
-
-
-def validate_hinting(s):
-    if s in (True, False):
-        return s
-    if s.lower() in ('auto', 'native', 'either', 'none'):
-        return s.lower()
-    raise ValueError("hinting should be 'auto', 'native', 'either' or 'none'")
+        if (isinstance(offset, Real)
+                and len(onoff) % 2 == 0
+                and all(isinstance(elem, Real) for elem in onoff)):
+            return (offset, onoff)
+
+    raise ValueError(f"linestyle {ls!r} is not a valid on-off ink sequence.")
+
+
+validate_fillstyle = ValidateInStrings(
+    'markers.fillstyle', ['full', 'left', 'right', 'bottom', 'top', 'none'])
+
+
+validate_fillstylelist = _listify_validator(validate_fillstyle)
 
-validate_pgf_texsystem = ValidateInStrings('pgf.texsystem',
-                                           ['xelatex', 'lualatex', 'pdflatex'])
 
-validate_movie_writer = ValidateInStrings('animation.writer',
-    ['ffmpeg', 'ffmpeg_file',
-     'avconv', 'avconv_file',
-     'mencoder', 'mencoder_file',
-     'imagemagick', 'imagemagick_file'])
+def validate_markevery(s):
+    """
+    Validate the markevery property of a Line2D object.
 
-validate_movie_frame_fmt = ValidateInStrings('animation.frame_format',
-    ['png', 'jpeg', 'tiff', 'raw', 'rgba'])
+    Parameters
+    ----------
+    s : None, int, (int, int), slice, float, (float, float), or list[int]
+
+    Returns
+    -------
+    None, int, (int, int), slice, float, (float, float), or list[int]
+    """
+    # Validate s against type slice float int and None
+    if isinstance(s, (slice, float, int, type(None))):
+        return s
+    # Validate s against type tuple
+    if isinstance(s, tuple):
+        if (len(s) == 2
+                and (all(isinstance(e, int) for e in s)
+                     or all(isinstance(e, float) for e in s))):
+            return s
+        else:
+            raise TypeError(
+                "'markevery' tuple must be pair of ints or of floats")
+    # Validate s against type list
+    if isinstance(s, list):
+        if all(isinstance(e, int) for e in s):
+            return s
+        else:
+            raise TypeError(
+                "'markevery' list must have all elements of type int")
+    raise TypeError("'markevery' is of an invalid type")
+
+
+validate_markeverylist = _listify_validator(validate_markevery)
 
-validate_axis_locator = ValidateInStrings('major', ['minor','both','major'])
 
 def validate_bbox(s):
-    if isinstance(s, six.string_types):
+    if isinstance(s, str):
         s = s.lower()
         if s == 'tight':
             return s
         if s == 'standard':
             return None
         raise ValueError("bbox should be 'tight' or 'standard'")
+    elif s is not None:
+        # Backwards compatibility. None is equivalent to 'standard'.
+        raise ValueError("bbox should be 'tight' or 'standard'")
+    return s
+
 
 def validate_sketch(s):
-    if isinstance(s, six.string_types):
-        s = s.lower()
+
+    if isinstance(s, str):
+        s = s.lower().strip()
+        if s.startswith("(") and s.endswith(")"):
+            s = s[1:-1]
     if s == 'none' or s is None:
         return None
-    if isinstance(s, six.string_types):
-        result = tuple([float(v.strip()) for v in s.split(',')])
-    elif isinstance(s, (list, tuple)):
-        result = tuple([float(v) for v in s])
-    if len(result) != 3:
-        raise ValueError("path.sketch must be a tuple (scale, length, randomness)")
-    return result
-
-class ValidateInterval(object):
+    try:
+        return tuple(_listify_validator(validate_float, n=3)(s))
+    except ValueError as exc:
+        raise ValueError("Expected a (scale, length, randomness) tuple") from exc
+
+
+def _validate_greaterthan_minushalf(s):
+    s = validate_float(s)
+    if s > -0.5:
+        return s
+    else:
+        raise RuntimeError(f'Value must be >-0.5; got {s}')
+
+
+def _validate_greaterequal0_lessequal1(s):
+    s = validate_float(s)
+    if 0 <= s <= 1:
+        return s
+    else:
+        raise RuntimeError(f'Value must be >=0 and <=1; got {s}')
+
+
+def _validate_int_greaterequal0(s):
+    s = validate_int(s)
+    if s >= 0:
+        return s
+    else:
+        raise RuntimeError(f'Value must be >=0; got {s}')
+
+
+def validate_hatch(s):
+    r"""
+    Validate a hatch pattern.
+    A hatch pattern string can have any sequence of the following
+    characters: ``\ / | - + * . x o O``.
+    """
+    if not isinstance(s, str):
+        raise ValueError("Hatch pattern must be a string")
+    _api.check_isinstance(str, hatch_pattern=s)
+    unknown = set(s) - {'\\', '/', '|', '-', '+', '*', '.', 'x', 'o', 'O'}
+    if unknown:
+        raise ValueError("Unknown hatch symbol(s): %s" % list(unknown))
+    return s
+
+
+validate_hatchlist = _listify_validator(validate_hatch)
+validate_dashlist = _listify_validator(validate_floatlist)
+
+
+def _validate_minor_tick_ndivs(n):
     """
-    Value must be in interval
+    Validate ndiv parameter related to the minor ticks.
+    It controls the number of minor ticks to be placed between
+    two major ticks.
     """
-    def __init__(self, vmin, vmax, closedmin=True, closedmax=True):
-        self.vmin = vmin
-        self.vmax = vmax
-        self.cmin = closedmin
-        self.cmax = closedmax
 
-    def __call__(self, s):
+    if cbook._str_lower_equal(n, 'auto'):
+        return n
+    try:
+        n = _validate_int_greaterequal0(n)
+        return n
+    except (RuntimeError, ValueError):
+        pass
+
+    raise ValueError("'tick.minor.ndivs' must be 'auto' or non-negative int")
+
+
+_prop_validators = {
+        'color': _listify_validator(validate_color_for_prop_cycle,
+                                    allow_stringlist=True),
+        'linewidth': validate_floatlist,
+        'linestyle': _listify_validator(_validate_linestyle),
+        'facecolor': validate_colorlist,
+        'edgecolor': validate_colorlist,
+        'joinstyle': _listify_validator(JoinStyle),
+        'capstyle': _listify_validator(CapStyle),
+        'fillstyle': validate_fillstylelist,
+        'markerfacecolor': validate_colorlist,
+        'markersize': validate_floatlist,
+        'markeredgewidth': validate_floatlist,
+        'markeredgecolor': validate_colorlist,
+        'markevery': validate_markeverylist,
+        'alpha': validate_floatlist,
+        'marker': _validate_markerlist,
+        'hatch': validate_hatchlist,
+        'dashes': validate_dashlist,
+    }
+_prop_aliases = {
+        'c': 'color',
+        'lw': 'linewidth',
+        'ls': 'linestyle',
+        'fc': 'facecolor',
+        'ec': 'edgecolor',
+        'mfc': 'markerfacecolor',
+        'mec': 'markeredgecolor',
+        'mew': 'markeredgewidth',
+        'ms': 'markersize',
+    }
+
+
+def cycler(*args, **kwargs):
+    """
+    Create a `~cycler.Cycler` object much like :func:`cycler.cycler`,
+    but includes input validation.
+
+    Call signatures::
+
+      cycler(cycler)
+      cycler(label=values, label2=values2, ...)
+      cycler(label, values)
+
+    Form 1 copies a given `~cycler.Cycler` object.
+
+    Form 2 creates a `~cycler.Cycler` which cycles over one or more
+    properties simultaneously. If multiple properties are given, their
+    value lists must have the same length.
+
+    Form 3 creates a `~cycler.Cycler` for a single property. This form
+    exists for compatibility with the original cycler. Its use is
+    discouraged in favor of the kwarg form, i.e. ``cycler(label=values)``.
+
+    Parameters
+    ----------
+    cycler : Cycler
+        Copy constructor for Cycler.
+
+    label : str
+        The property key. Must be a valid `.Artist` property.
+        For example, 'color' or 'linestyle'. Aliases are allowed,
+        such as 'c' for 'color' and 'lw' for 'linewidth'.
+
+    values : iterable
+        Finite-length iterable of the property values. These values
+        are validated and will raise a ValueError if invalid.
+
+    Returns
+    -------
+    Cycler
+        A new :class:`~cycler.Cycler` for the given properties.
+
+    Examples
+    --------
+    Creating a cycler for a single property:
+
+    >>> c = cycler(color=['red', 'green', 'blue'])
+
+    Creating a cycler for simultaneously cycling over multiple properties
+    (e.g. red circle, green plus, blue cross):
+
+    >>> c = cycler(color=['red', 'green', 'blue'],
+    ...            marker=['o', '+', 'x'])
+
+    """
+    if args and kwargs:
+        raise TypeError("cycler() can only accept positional OR keyword "
+                        "arguments -- not both.")
+    elif not args and not kwargs:
+        raise TypeError("cycler() must have positional OR keyword arguments")
+
+    if len(args) == 1:
+        if not isinstance(args[0], Cycler):
+            raise TypeError("If only one positional argument given, it must "
+                            "be a Cycler instance.")
+        return validate_cycler(args[0])
+    elif len(args) == 2:
+        pairs = [(args[0], args[1])]
+    elif len(args) > 2:
+        raise _api.nargs_error('cycler', '0-2', len(args))
+    else:
+        pairs = kwargs.items()
+
+    validated = []
+    for prop, vals in pairs:
+        norm_prop = _prop_aliases.get(prop, prop)
+        validator = _prop_validators.get(norm_prop, None)
+        if validator is None:
+            raise TypeError("Unknown artist property: %s" % prop)
+        vals = validator(vals)
+        # We will normalize the property names as well to reduce
+        # the amount of alias handling code elsewhere.
+        validated.append((norm_prop, vals))
+
+    return reduce(operator.add, (ccycler(k, v) for k, v in validated))
+
+
+class _DunderChecker(ast.NodeVisitor):
+    def visit_Attribute(self, node):
+        if node.attr.startswith("__") and node.attr.endswith("__"):
+            raise ValueError("cycler strings with dunders are forbidden")
+        self.generic_visit(node)
+
+
+# A validator dedicated to the named legend loc
+_validate_named_legend_loc = ValidateInStrings(
+    'legend.loc',
+    [
+        "best",
+        "upper right", "upper left", "lower left", "lower right", "right",
+        "center left", "center right", "lower center", "upper center",
+        "center"],
+    ignorecase=True)
+
+
+def _validate_legend_loc(loc):
+    """
+    Confirm that loc is a type which rc.Params["legend.loc"] supports.
+
+    .. versionadded:: 3.8
+
+    Parameters
+    ----------
+    loc : str | int | (float, float) | str((float, float))
+        The location of the legend.
+
+    Returns
+    -------
+    loc : str | int | (float, float) or raise ValueError exception
+        The location of the legend.
+    """
+    if isinstance(loc, str):
+        try:
+            return _validate_named_legend_loc(loc)
+        except ValueError:
+            pass
+        try:
+            loc = ast.literal_eval(loc)
+        except (SyntaxError, ValueError):
+            pass
+    if isinstance(loc, int):
+        if 0 <= loc <= 10:
+            return loc
+    if isinstance(loc, tuple):
+        if len(loc) == 2 and all(isinstance(e, Real) for e in loc):
+            return loc
+    raise ValueError(f"{loc} is not a valid legend location.")
+
+
+def validate_cycler(s):
+    """Return a Cycler object from a string repr or the object itself."""
+    if isinstance(s, str):
+        # TODO: We might want to rethink this...
+        # While I think I have it quite locked down, it is execution of
+        # arbitrary code without sanitation.
+        # Combine this with the possibility that rcparams might come from the
+        # internet (future plans), this could be downright dangerous.
+        # I locked it down by only having the 'cycler()' function available.
+        # UPDATE: Partly plugging a security hole.
+        # I really should have read this:
+        # https://nedbatchelder.com/blog/201206/eval_really_is_dangerous.html
+        # We should replace this eval with a combo of PyParsing and
+        # ast.literal_eval()
         try:
-            s = float(s)
-        except:
-            raise RuntimeError('Value must be a float; found "%s"' % s)
-
-        if self.cmin and s < self.vmin:
-            raise RuntimeError('Value must be >= %f; found "%f"' %
-                               (self.vmin, s))
-        elif not self.cmin and s <= self.vmin:
-            raise RuntimeError('Value must be > %f; found "%f"' %
-                               (self.vmin, s))
-
-        if self.cmax and s > self.vmax:
-            raise RuntimeError('Value must be <= %f; found "%f"' %
-                               (self.vmax, s))
-        elif not self.cmax and s >= self.vmax:
-            raise RuntimeError('Value must be < %f; found "%f"' %
-                               (self.vmax, s))
+            _DunderChecker().visit(ast.parse(s))
+            s = eval(s, {'cycler': cycler, '__builtins__': {}})
+        except BaseException as e:
+            raise ValueError(f"{s!r} is not a valid cycler construction: {e}"
+                             ) from e
+    # Should make sure what comes from the above eval()
+    # is a Cycler object.
+    if isinstance(s, Cycler):
+        cycler_inst = s
+    else:
+        raise ValueError(f"Object is not a string or Cycler instance: {s!r}")
+
+    unknowns = cycler_inst.keys - (set(_prop_validators) | set(_prop_aliases))
+    if unknowns:
+        raise ValueError("Unknown artist properties: %s" % unknowns)
+
+    # Not a full validation, but it'll at least normalize property names
+    # A fuller validation would require v0.10 of cycler.
+    checker = set()
+    for prop in cycler_inst.keys:
+        norm_prop = _prop_aliases.get(prop, prop)
+        if norm_prop != prop and norm_prop in cycler_inst.keys:
+            raise ValueError(f"Cannot specify both {norm_prop!r} and alias "
+                             f"{prop!r} in the same prop_cycle")
+        if norm_prop in checker:
+            raise ValueError(f"Another property was already aliased to "
+                             f"{norm_prop!r}. Collision normalizing {prop!r}.")
+        checker.update([norm_prop])
+
+    # This is just an extra-careful check, just in case there is some
+    # edge-case I haven't thought of.
+    assert len(checker) == len(cycler_inst.keys)
+
+    # Now, it should be safe to mutate this cycler
+    for prop in cycler_inst.keys:
+        norm_prop = _prop_aliases.get(prop, prop)
+        cycler_inst.change_key(prop, norm_prop)
+
+    for key, vals in cycler_inst.by_key().items():
+        _prop_validators[key](vals)
+
+    return cycler_inst
+
+
+def validate_hist_bins(s):
+    valid_strs = ["auto", "sturges", "fd", "doane", "scott", "rice", "sqrt"]
+    if isinstance(s, str) and s in valid_strs:
         return s
+    try:
+        return int(s)
+    except (TypeError, ValueError):
+        pass
+    try:
+        return validate_floatlist(s)
+    except ValueError:
+        pass
+    raise ValueError(f"'hist.bins' must be one of {valid_strs}, an int or"
+                     " a sequence of floats")
 
 
-# a map from key -> value, converter
-defaultParams = {
-    'backend':           ['Agg', validate_backend],  # agg is certainly
-                                                      # present
-    'backend_fallback':  [True, validate_bool],  # agg is certainly present
-    'backend.qt4':       ['PyQt4', validate_qt4],
-    'backend.qt5':       ['PyQt5', validate_qt5],
-    'webagg.port':       [8988, validate_int],
-    'webagg.open_in_browser': [True, validate_bool],
-    'webagg.port_retries': [50, validate_int],
-    'nbagg.transparent':       [True, validate_bool],
-    'toolbar':           ['toolbar2', validate_toolbar],
-    'datapath':          [None, validate_path_exists],  # handled by
-                                                        # _get_data_path_cached
-    'interactive':       [False, validate_bool],
-    'timezone':          ['UTC', six.text_type],
-
-    # the verbosity setting
-    'verbose.level': ['silent', validate_verbose],
-    'verbose.fileo': ['sys.stdout', six.text_type],
+class _ignorecase(list):
+    """A marker class indicating that a list-of-str is case-insensitive."""
+
+
+def _convert_validator_spec(key, conv):
+    if isinstance(conv, list):
+        ignorecase = isinstance(conv, _ignorecase)
+        return ValidateInStrings(key, conv, ignorecase=ignorecase)
+    else:
+        return conv
+
+
+# Mapping of rcParams to validators.
+# Converters given as lists or _ignorecase are converted to ValidateInStrings
+# immediately below.
+# The rcParams defaults are defined in lib/matplotlib/mpl-data/matplotlibrc, which
+# gets copied to matplotlib/mpl-data/matplotlibrc by the setup script.
+_validators = {
+    "backend":           validate_backend,
+    "backend_fallback":  validate_bool,
+    "figure.hooks":      validate_stringlist,
+    "toolbar":           _validate_toolbar,
+    "interactive":       validate_bool,
+    "timezone":          validate_string,
+
+    "webagg.port":            validate_int,
+    "webagg.address":         validate_string,
+    "webagg.open_in_browser": validate_bool,
+    "webagg.port_retries":    validate_int,
 
     # line props
-    'lines.linewidth':       [1.0, validate_float],  # line width in points
-    'lines.linestyle':       ['-', six.text_type],             # solid line
-    'lines.color':           ['b', validate_color],  # blue
-    'lines.marker':          ['None', six.text_type],     # black
-    'lines.markeredgewidth': [0.5, validate_float],
-    'lines.markersize':      [6, validate_float],    # markersize, in points
-    'lines.antialiased':     [True, validate_bool],  # antialised (no jaggies)
-    'lines.dash_joinstyle':  ['round', validate_joinstyle],
-    'lines.solid_joinstyle': ['round', validate_joinstyle],
-    'lines.dash_capstyle':   ['butt', validate_capstyle],
-    'lines.solid_capstyle':  ['projecting', validate_capstyle],
+    "lines.linewidth":       validate_float,  # line width in points
+    "lines.linestyle":       _validate_linestyle,  # solid line
+    "lines.color":           validate_color,  # first color in color cycle
+    "lines.marker":          _validate_marker,  # marker name
+    "lines.markerfacecolor": validate_color_or_auto,  # default color
+    "lines.markeredgecolor": validate_color_or_auto,  # default color
+    "lines.markeredgewidth": validate_float,
+    "lines.markersize":      validate_float,  # markersize, in points
+    "lines.antialiased":     validate_bool,  # antialiased (no jaggies)
+    "lines.dash_joinstyle":  JoinStyle,
+    "lines.solid_joinstyle": JoinStyle,
+    "lines.dash_capstyle":   CapStyle,
+    "lines.solid_capstyle":  CapStyle,
+    "lines.dashed_pattern":  validate_floatlist,
+    "lines.dashdot_pattern": validate_floatlist,
+    "lines.dotted_pattern":  validate_floatlist,
+    "lines.scale_dashes":    validate_bool,
+
+    # marker props
+    "markers.fillstyle": validate_fillstyle,
+
+    ## pcolor(mesh) props:
+    "pcolor.shading": ["auto", "flat", "nearest", "gouraud"],
+    "pcolormesh.snap": validate_bool,
 
     ## patch props
-    'patch.linewidth':   [1.0, validate_float],  # line width in points
-    'patch.edgecolor':   ['k', validate_color],  # black
-    'patch.facecolor':   ['b', validate_color],  # blue
-    'patch.antialiased': [True, validate_bool],  # antialised (no jaggies)
-
+    "patch.linewidth":       validate_float,  # line width in points
+    "patch.edgecolor":       validate_color,
+    "patch.force_edgecolor": validate_bool,
+    "patch.facecolor":       validate_color,  # first color in cycle
+    "patch.antialiased":     validate_bool,  # antialiased (no jaggies)
+
+    ## hatch props
+    "hatch.color":     _validate_color_or_edge,
+    "hatch.linewidth": validate_float,
+
+    ## Histogram properties
+    "hist.bins": validate_hist_bins,
+
+    ## Boxplot properties
+    "boxplot.notch":       validate_bool,
+    "boxplot.vertical":    validate_bool,
+    "boxplot.whiskers":    validate_whiskers,
+    "boxplot.bootstrap":   validate_int_or_None,
+    "boxplot.patchartist": validate_bool,
+    "boxplot.showmeans":   validate_bool,
+    "boxplot.showcaps":    validate_bool,
+    "boxplot.showbox":     validate_bool,
+    "boxplot.showfliers":  validate_bool,
+    "boxplot.meanline":    validate_bool,
+
+    "boxplot.flierprops.color":           validate_color,
+    "boxplot.flierprops.marker":          _validate_marker,
+    "boxplot.flierprops.markerfacecolor": validate_color_or_auto,
+    "boxplot.flierprops.markeredgecolor": validate_color,
+    "boxplot.flierprops.markeredgewidth": validate_float,
+    "boxplot.flierprops.markersize":      validate_float,
+    "boxplot.flierprops.linestyle":       _validate_linestyle,
+    "boxplot.flierprops.linewidth":       validate_float,
+
+    "boxplot.boxprops.color":     validate_color,
+    "boxplot.boxprops.linewidth": validate_float,
+    "boxplot.boxprops.linestyle": _validate_linestyle,
+
+    "boxplot.whiskerprops.color":     validate_color,
+    "boxplot.whiskerprops.linewidth": validate_float,
+    "boxplot.whiskerprops.linestyle": _validate_linestyle,
+
+    "boxplot.capprops.color":     validate_color,
+    "boxplot.capprops.linewidth": validate_float,
+    "boxplot.capprops.linestyle": _validate_linestyle,
+
+    "boxplot.medianprops.color":     validate_color,
+    "boxplot.medianprops.linewidth": validate_float,
+    "boxplot.medianprops.linestyle": _validate_linestyle,
+
+    "boxplot.meanprops.color":           validate_color,
+    "boxplot.meanprops.marker":          _validate_marker,
+    "boxplot.meanprops.markerfacecolor": validate_color,
+    "boxplot.meanprops.markeredgecolor": validate_color,
+    "boxplot.meanprops.markersize":      validate_float,
+    "boxplot.meanprops.linestyle":       _validate_linestyle,
+    "boxplot.meanprops.linewidth":       validate_float,
 
     ## font props
-    'font.family':     [['sans-serif'], validate_stringlist],  # used by text object
-    'font.style':      ['normal', six.text_type],
-    'font.variant':    ['normal', six.text_type],
-    'font.stretch':    ['normal', six.text_type],
-    'font.weight':     ['normal', six.text_type],
-    'font.size':       [12, validate_float],      # Base font size in points
-    'font.serif':      [['Bitstream Vera Serif', 'DejaVu Serif',
-                         'New Century Schoolbook', 'Century Schoolbook L',
-                         'Utopia', 'ITC Bookman', 'Bookman',
-                         'Nimbus Roman No9 L', 'Times New Roman',
-                         'Times', 'Palatino', 'Charter', 'serif'],
-                        validate_stringlist],
-    'font.sans-serif': [['Bitstream Vera Sans', 'DejaVu Sans',
-                         'Lucida Grande', 'Verdana', 'Geneva', 'Lucid',
-                         'Arial', 'Helvetica', 'Avant Garde', 'sans-serif'],
-                        validate_stringlist],
-    'font.cursive':    [['Apple Chancery', 'Textile', 'Zapf Chancery',
-                         'Sand', 'Script MT', 'cursive'], validate_stringlist],
-    'font.fantasy':    [['Comic Sans MS', 'Chicago', 'Charcoal', 'Impact'
-                         'Western', 'Humor Sans', 'fantasy'],
-                        validate_stringlist],
-    'font.monospace':  [['Bitstream Vera Sans Mono', 'DejaVu Sans Mono',
-                         'Andale Mono', 'Nimbus Mono L', 'Courier New',
-                         'Courier', 'Fixed', 'Terminal', 'monospace'],
-                        validate_stringlist],
+    "font.enable_last_resort":     validate_bool,
+    "font.family":     validate_stringlist,  # used by text object
+    "font.style":      validate_string,
+    "font.variant":    validate_string,
+    "font.stretch":    validate_fontstretch,
+    "font.weight":     validate_fontweight,
+    "font.size":       validate_float,  # Base font size in points
+    "font.serif":      validate_stringlist,
+    "font.sans-serif": validate_stringlist,
+    "font.cursive":    validate_stringlist,
+    "font.fantasy":    validate_stringlist,
+    "font.monospace":  validate_stringlist,
 
     # text props
-    'text.color':          ['k', validate_color],     # black
-    'text.usetex':         [False, validate_bool],
-    'text.latex.unicode':  [False, validate_bool],
-    'text.latex.preamble': [[''], validate_stringlist],
-    'text.latex.preview':  [False, validate_bool],
-    'text.dvipnghack':     [None, validate_bool_maybe_none],
-    'text.hinting':        [True, validate_hinting],
-    'text.hinting_factor': [8, validate_int],
-    'text.antialiased':    [True, validate_bool],
-
-    'mathtext.cal':            ['cursive', validate_font_properties],
-    'mathtext.rm':             ['serif', validate_font_properties],
-    'mathtext.tt':             ['monospace', validate_font_properties],
-    'mathtext.it':             ['serif:italic', validate_font_properties],
-    'mathtext.bf':             ['serif:bold', validate_font_properties],
-    'mathtext.sf':             ['sans\-serif', validate_font_properties],
-    'mathtext.fontset':        ['cm', validate_fontset],
-    'mathtext.default':        ['it', validate_mathtext_default],
-    'mathtext.fallback_to_cm': [True, validate_bool],
-
-    'image.aspect':        ['equal', validate_aspect],  # equal, auto, a number
-    'image.interpolation': ['bilinear', six.text_type],
-    'image.cmap':          ['jet', six.text_type],        # one of gray, jet, etc
-    'image.lut':           [256, validate_int],  # lookup table
-    'image.origin':        ['upper', six.text_type],  # lookup table
-    'image.resample':      [False, validate_bool],
-
-    'contour.negative_linestyle': ['dashed',
-                                    validate_negative_linestyle_legacy],
-
-    # axes props
-    'axes.axisbelow':        [False, validate_bool],
-    'axes.hold':             [True, validate_bool],
-    'axes.facecolor':        ['w', validate_color],  # background color; white
-    'axes.edgecolor':        ['k', validate_color],  # edge color; black
-    'axes.linewidth':        [1.0, validate_float],  # edge linewidth
-    'axes.titlesize':        ['large', validate_fontsize],  # fontsize of the
-                                                            # axes title
-    'axes.titleweight':      ['normal', six.text_type],  # font weight of axes title
-    'axes.grid':             [False, validate_bool],   # display grid or not
-    'axes.grid.which':       ['major', validate_axis_locator],  # set wether the gid are by
-                                                                # default draw on 'major'
-                                                                # 'minor' or 'both' kind of
-                                                                # axis locator
-    'axes.labelsize':        ['medium', validate_fontsize],  # fontsize of the
-                                                             # x any y labels
-    'axes.labelpad':         [5.0, validate_float], # space between label and axis
-    'axes.labelweight':      ['normal', six.text_type],  # fontsize of the x any y labels
-    'axes.labelcolor':       ['k', validate_color],    # color of axis label
-    'axes.formatter.limits': [[-7, 7], validate_nseq_int(2)],
-                               # use scientific notation if log10
-                               # of the axis range is smaller than the
-                               # first or larger than the second
-    'axes.formatter.use_locale': [False, validate_bool],
-                               # Use the current locale to format ticks
-    'axes.formatter.use_mathtext': [False, validate_bool],
-    'axes.formatter.useoffset': [True, validate_bool],
-    'axes.unicode_minus': [True, validate_bool],
-    'axes.color_cycle': [['b', 'g', 'r', 'c', 'm', 'y', 'k'],
-                         validate_colorlist],  # cycle of plot
-                                               # line colors
-    'axes.xmargin': [0, ValidateInterval(0, 1,
-                                         closedmin=True,
-                                         closedmax=True)],  # margin added to xaxis
-    'axes.ymargin': [0, ValidateInterval(0, 1,
-                                         closedmin=True,
-                                         closedmax=True)],# margin added to yaxis
-
-    'polaraxes.grid': [True, validate_bool],  # display polar grid or
-                                                     # not
-    'axes3d.grid': [True, validate_bool],  # display 3d grid
-
-    #legend properties
-    'legend.fancybox': [False, validate_bool],
-
-    # at some point, legend.loc should be changed to 'best'
-    'legend.loc': ['upper right', validate_legend_loc],
-
-    # this option is internally ignored - it never served any useful purpose
-    'legend.isaxes': [True, validate_bool],
+    "text.color":          validate_color,
+    "text.usetex":         validate_bool,
+    "text.latex.preamble": validate_string,
+    "text.hinting":        ["default", "no_autohint", "force_autohint",
+                            "no_hinting", "auto", "native", "either", "none"],
+    "text.hinting_factor": validate_int,
+    "text.kerning_factor": validate_int,
+    "text.antialiased":    validate_bool,
+    "text.parse_math":     validate_bool,
+
+    "mathtext.cal":            validate_font_properties,
+    "mathtext.rm":             validate_font_properties,
+    "mathtext.tt":             validate_font_properties,
+    "mathtext.it":             validate_font_properties,
+    "mathtext.bf":             validate_font_properties,
+    "mathtext.bfit":           validate_font_properties,
+    "mathtext.sf":             validate_font_properties,
+    "mathtext.fontset":        ["dejavusans", "dejavuserif", "cm", "stix",
+                                "stixsans", "custom"],
+    "mathtext.default":        ["rm", "cal", "bfit", "it", "tt", "sf", "bf", "default",
+                                "bb", "frak", "scr", "regular"],
+    "mathtext.fallback":       _validate_mathtext_fallback,
+
+    "image.aspect":              validate_aspect,  # equal, auto, a number
+    "image.interpolation":       validate_string,
+    "image.interpolation_stage": ["auto", "data", "rgba"],
+    "image.cmap":                _validate_cmap,  # gray, jet, etc.
+    "image.lut":                 validate_int,  # lookup table
+    "image.origin":              ["upper", "lower"],
+    "image.resample":            validate_bool,
+    # Specify whether vector graphics backends will combine all images on a
+    # set of Axes into a single composite image
+    "image.composite_image": validate_bool,
+
+    # contour props
+    "contour.negative_linestyle": _validate_linestyle,
+    "contour.corner_mask":        validate_bool,
+    "contour.linewidth":          validate_float_or_None,
+    "contour.algorithm":          ["mpl2005", "mpl2014", "serial", "threaded"],
+
+    # errorbar props
+    "errorbar.capsize": validate_float,
+
+    # axis props
+    # alignment of x/y axis title
+    "xaxis.labellocation": ["left", "center", "right"],
+    "yaxis.labellocation": ["bottom", "center", "top"],
+
+    # Axes props
+    "axes.axisbelow":        validate_axisbelow,
+    "axes.facecolor":        validate_color,  # background color
+    "axes.edgecolor":        validate_color,  # edge color
+    "axes.linewidth":        validate_float,  # edge linewidth
+
+    "axes.spines.left":      validate_bool,  # Set visibility of axes spines,
+    "axes.spines.right":     validate_bool,  # i.e., the lines around the chart
+    "axes.spines.bottom":    validate_bool,  # denoting data boundary.
+    "axes.spines.top":       validate_bool,
+
+    "axes.titlesize":     validate_fontsize,  # Axes title fontsize
+    "axes.titlelocation": ["left", "center", "right"],  # Axes title alignment
+    "axes.titleweight":   validate_fontweight,  # Axes title font weight
+    "axes.titlecolor":    validate_color_or_auto,  # Axes title font color
+    # title location, axes units, None means auto
+    "axes.titley":        validate_float_or_None,
+    # pad from Axes top decoration to title in points
+    "axes.titlepad":      validate_float,
+    "axes.grid":          validate_bool,  # display grid or not
+    "axes.grid.which":    ["minor", "both", "major"],  # which grids are drawn
+    "axes.grid.axis":     ["x", "y", "both"],  # grid type
+    "axes.labelsize":     validate_fontsize,  # fontsize of x & y labels
+    "axes.labelpad":      validate_float,  # space between label and axis
+    "axes.labelweight":   validate_fontweight,  # fontsize of x & y labels
+    "axes.labelcolor":    validate_color,  # color of axis label
+    # use scientific notation if log10 of the axis range is smaller than the
+    # first or larger than the second
+    "axes.formatter.limits": _listify_validator(validate_int, n=2),
+    # use current locale to format ticks
+    "axes.formatter.use_locale": validate_bool,
+    "axes.formatter.use_mathtext": validate_bool,
+    # minimum exponent to format in scientific notation
+    "axes.formatter.min_exponent": validate_int,
+    "axes.formatter.useoffset": validate_bool,
+    "axes.formatter.offset_threshold": validate_int,
+    "axes.unicode_minus": validate_bool,
+    # This entry can be either a cycler object or a string repr of a
+    # cycler-object, which gets eval()'ed to create the object.
+    "axes.prop_cycle": validate_cycler,
+    # If "data", axes limits are set close to the data.
+    # If "round_numbers" axes limits are set to the nearest round numbers.
+    "axes.autolimit_mode": ["data", "round_numbers"],
+    "axes.xmargin": _validate_greaterthan_minushalf,  # margin added to xaxis
+    "axes.ymargin": _validate_greaterthan_minushalf,  # margin added to yaxis
+    "axes.zmargin": _validate_greaterthan_minushalf,  # margin added to zaxis
+
+    "polaraxes.grid":    validate_bool,  # display polar grid or not
+    "axes3d.grid":       validate_bool,  # display 3d grid
+    "axes3d.automargin": validate_bool,  # automatically add margin when
+                                         # manually setting 3D axis limits
+
+    "axes3d.xaxis.panecolor":    validate_color,  # 3d background pane
+    "axes3d.yaxis.panecolor":    validate_color,  # 3d background pane
+    "axes3d.zaxis.panecolor":    validate_color,  # 3d background pane
+
+    "axes3d.depthshade": validate_bool,  # depth shade for 3D scatter plots
+    "axes3d.depthshade_minalpha": validate_float,  # min alpha value for depth shading
+
+    "axes3d.mouserotationstyle": ["azel", "trackball", "sphere", "arcball"],
+    "axes3d.trackballsize": validate_float,
+    "axes3d.trackballborder": validate_float,
+
+    # scatter props
+    "scatter.marker":     _validate_marker,
+    "scatter.edgecolors": validate_string,
+
+    "date.epoch": _validate_date,
+    "date.autoformatter.year":        validate_string,
+    "date.autoformatter.month":       validate_string,
+    "date.autoformatter.day":         validate_string,
+    "date.autoformatter.hour":        validate_string,
+    "date.autoformatter.minute":      validate_string,
+    "date.autoformatter.second":      validate_string,
+    "date.autoformatter.microsecond": validate_string,
+
+    'date.converter':          ['auto', 'concise'],
+    # for auto date locator, choose interval_multiples
+    'date.interval_multiples': validate_bool,
+
+    # legend properties
+    "legend.fancybox": validate_bool,
+    "legend.loc": _validate_legend_loc,
 
     # the number of points in the legend line
-    'legend.numpoints': [2, validate_int],
+    "legend.numpoints":      validate_int,
     # the number of points in the legend line for scatter
-    'legend.scatterpoints': [3, validate_int],
-    'legend.fontsize': ['large', validate_fontsize],
-     # the relative size of legend markers vs. original
-    'legend.markerscale': [1.0, validate_float],
-    'legend.shadow': [False, validate_bool],
-     # whether or not to draw a frame around legend
-    'legend.frameon': [True, validate_bool],
-     # alpha value of the legend frame
-    'legend.framealpha': [1.0, validate_float],
+    "legend.scatterpoints":  validate_int,
+    "legend.fontsize":       validate_fontsize,
+    "legend.title_fontsize": validate_fontsize_None,
+    # color of the legend
+    "legend.labelcolor":     _validate_color_or_linecolor,
+    # the relative size of legend markers vs. original
+    "legend.markerscale":    validate_float,
+    # using dict in rcParams not yet supported, so make sure it is bool
+    "legend.shadow":         validate_bool,
+    # whether or not to draw a frame around legend
+    "legend.frameon":        validate_bool,
+    # alpha value of the legend frame
+    "legend.framealpha":     validate_float_or_None,
 
     ## the following dimensions are in fraction of the font size
-    'legend.borderpad': [0.4, validate_float],  # units are fontsize
+    "legend.borderpad":      validate_float,  # units are fontsize
     # the vertical space between the legend entries
-    'legend.labelspacing': [0.5, validate_float],
+    "legend.labelspacing":   validate_float,
     # the length of the legend lines
-    'legend.handlelength': [2., validate_float],
+    "legend.handlelength":   validate_float,
     # the length of the legend lines
-    'legend.handleheight': [0.7, validate_float],
+    "legend.handleheight":   validate_float,
     # the space between the legend line and legend text
-    'legend.handletextpad': [.8, validate_float],
-    # the border between the axes and legend edge
-    'legend.borderaxespad': [0.5, validate_float],
-    # the border between the axes and legend edge
-    'legend.columnspacing': [2., validate_float],
-    # the relative size of legend markers vs. original
-    'legend.markerscale': [1.0, validate_float],
-    'legend.shadow': [False, validate_bool],
-
-    ## tick properties
-    'xtick.major.size':  [4, validate_float],    # major xtick size in points
-    'xtick.minor.size':  [2, validate_float],    # minor xtick size in points
-    'xtick.major.width': [0.5, validate_float],  # major xtick width in points
-    'xtick.minor.width': [0.5, validate_float],  # minor xtick width in points
-    'xtick.major.pad':   [4, validate_float],    # distance to label in points
-    'xtick.minor.pad':   [4, validate_float],    # distance to label in points
-    'xtick.color':       ['k', validate_color],  # color of the xtick labels
-    # fontsize of the xtick labels
-    'xtick.labelsize':   ['medium', validate_fontsize],
-    'xtick.direction':   ['in', six.text_type],            # direction of xticks
-
-    'ytick.major.size':  [4, validate_float],     # major ytick size in points
-    'ytick.minor.size':  [2, validate_float],     # minor ytick size in points
-    'ytick.major.width': [0.5, validate_float],   # major ytick width in points
-    'ytick.minor.width': [0.5, validate_float],   # minor ytick width in points
-    'ytick.major.pad':   [4, validate_float],     # distance to label in points
-    'ytick.minor.pad':   [4, validate_float],     # distance to label in points
-    'ytick.color':       ['k', validate_color],   # color of the ytick labels
-    # fontsize of the ytick labels
-    'ytick.labelsize':   ['medium', validate_fontsize],
-    'ytick.direction':   ['in', six.text_type],            # direction of yticks
-
-    'grid.color':        ['k', validate_color],       # grid color
-    'grid.linestyle':    [':', six.text_type],       # dotted
-    'grid.linewidth':    [0.5, validate_float],     # in points
-    'grid.alpha':        [1.0, validate_float],
-
+    "legend.handletextpad":  validate_float,
+    # the border between the Axes and legend edge
+    "legend.borderaxespad":  validate_float,
+    # the border between the Axes and legend edge
+    "legend.columnspacing":  validate_float,
+    "legend.facecolor":      validate_color_or_inherit,
+    "legend.edgecolor":      validate_color_or_inherit,
+
+    # tick properties
+    "xtick.top":           validate_bool,      # draw ticks on top side
+    "xtick.bottom":        validate_bool,      # draw ticks on bottom side
+    "xtick.labeltop":      validate_bool,      # draw label on top
+    "xtick.labelbottom":   validate_bool,      # draw label on bottom
+    "xtick.major.size":    validate_float,     # major xtick size in points
+    "xtick.minor.size":    validate_float,     # minor xtick size in points
+    "xtick.major.width":   validate_float,     # major xtick width in points
+    "xtick.minor.width":   validate_float,     # minor xtick width in points
+    "xtick.major.pad":     validate_float,     # distance to label in points
+    "xtick.minor.pad":     validate_float,     # distance to label in points
+    "xtick.color":         validate_color,     # color of xticks
+    "xtick.labelcolor":    validate_color_or_inherit,  # color of xtick labels
+    "xtick.minor.visible": validate_bool,      # visibility of minor xticks
+    "xtick.minor.top":     validate_bool,      # draw top minor xticks
+    "xtick.minor.bottom":  validate_bool,      # draw bottom minor xticks
+    "xtick.major.top":     validate_bool,      # draw top major xticks
+    "xtick.major.bottom":  validate_bool,      # draw bottom major xticks
+    # number of minor xticks
+    "xtick.minor.ndivs":   _validate_minor_tick_ndivs,
+    "xtick.labelsize":     validate_fontsize,  # fontsize of xtick labels
+    "xtick.direction":     ["out", "in", "inout"],  # direction of xticks
+    "xtick.alignment":     ["center", "right", "left"],
+
+    "ytick.left":          validate_bool,      # draw ticks on left side
+    "ytick.right":         validate_bool,      # draw ticks on right side
+    "ytick.labelleft":     validate_bool,      # draw tick labels on left side
+    "ytick.labelright":    validate_bool,      # draw tick labels on right side
+    "ytick.major.size":    validate_float,     # major ytick size in points
+    "ytick.minor.size":    validate_float,     # minor ytick size in points
+    "ytick.major.width":   validate_float,     # major ytick width in points
+    "ytick.minor.width":   validate_float,     # minor ytick width in points
+    "ytick.major.pad":     validate_float,     # distance to label in points
+    "ytick.minor.pad":     validate_float,     # distance to label in points
+    "ytick.color":         validate_color,     # color of yticks
+    "ytick.labelcolor":    validate_color_or_inherit,  # color of ytick labels
+    "ytick.minor.visible": validate_bool,      # visibility of minor yticks
+    "ytick.minor.left":    validate_bool,      # draw left minor yticks
+    "ytick.minor.right":   validate_bool,      # draw right minor yticks
+    "ytick.major.left":    validate_bool,      # draw left major yticks
+    "ytick.major.right":   validate_bool,      # draw right major yticks
+    # number of minor yticks
+    "ytick.minor.ndivs":   _validate_minor_tick_ndivs,
+    "ytick.labelsize":     validate_fontsize,  # fontsize of ytick labels
+    "ytick.direction":     ["out", "in", "inout"],  # direction of yticks
+    "ytick.alignment":     [
+        "center", "top", "bottom", "baseline", "center_baseline"],
+
+    "grid.color":        validate_color,  # grid color
+    "grid.linestyle":    _validate_linestyle,  # solid
+    "grid.linewidth":    validate_float,     # in points
+    "grid.alpha":        validate_float,
 
     ## figure props
     # figure title
-    'figure.titlesize':   ['medium', validate_fontsize],
-    'figure.titleweight': ['normal', six.text_type],
+    "figure.titlesize":   validate_fontsize,
+    "figure.titleweight": validate_fontweight,
+
+    # figure labels
+    "figure.labelsize":   validate_fontsize,
+    "figure.labelweight": validate_fontweight,
 
     # figure size in inches: width by height
-    'figure.figsize':    [[8.0, 6.0], validate_nseq_float(2)],
-    'figure.dpi':        [80, validate_float],   # DPI
-    'figure.facecolor':  ['0.75', validate_color],  # facecolor; scalar gray
-    'figure.edgecolor':  ['w', validate_color],  # edgecolor; white
-    'figure.frameon':    [True, validate_bool],
-    'figure.autolayout': [False, validate_bool],
-    'figure.max_open_warning': [20, validate_int],
-
-    'figure.subplot.left': [0.125, ValidateInterval(0, 1, closedmin=True,
-                                                       closedmax=True)],
-    'figure.subplot.right': [0.9, ValidateInterval(0, 1, closedmin=True,
-                                                     closedmax=True)],
-    'figure.subplot.bottom': [0.1, ValidateInterval(0, 1, closedmin=True,
-                                                     closedmax=True)],
-    'figure.subplot.top': [0.9, ValidateInterval(0, 1, closedmin=True,
-                                                     closedmax=True)],
-    'figure.subplot.wspace': [0.2, ValidateInterval(0, 1, closedmin=True,
-                                                     closedmax=False)],
-    'figure.subplot.hspace': [0.2, ValidateInterval(0, 1, closedmin=True,
-                                                     closedmax=False)],
+    "figure.figsize":          _listify_validator(validate_float, n=2),
+    "figure.dpi":              validate_float,
+    "figure.facecolor":        validate_color,
+    "figure.edgecolor":        validate_color,
+    "figure.frameon":          validate_bool,
+    "figure.autolayout":       validate_bool,
+    "figure.max_open_warning": validate_int,
+    "figure.raise_window":     validate_bool,
+    "macosx.window_mode":      ["system", "tab", "window"],
+
+    "figure.subplot.left":   validate_float,
+    "figure.subplot.right":  validate_float,
+    "figure.subplot.bottom": validate_float,
+    "figure.subplot.top":    validate_float,
+    "figure.subplot.wspace": validate_float,
+    "figure.subplot.hspace": validate_float,
+
+    "figure.constrained_layout.use": validate_bool,  # run constrained_layout?
+    # wspace and hspace are fraction of adjacent subplots to use for space.
+    # Much smaller than above because we don't need room for the text.
+    "figure.constrained_layout.hspace": validate_float,
+    "figure.constrained_layout.wspace": validate_float,
+    # buffer around the Axes, in inches.
+    "figure.constrained_layout.h_pad": validate_float,
+    "figure.constrained_layout.w_pad": validate_float,
 
     ## Saving figure's properties
-    'savefig.dpi':         [100, validate_float],   # DPI
-    'savefig.facecolor':   ['w', validate_color],  # facecolor; white
-    'savefig.edgecolor':   ['w', validate_color],  # edgecolor; white
-    'savefig.frameon':     [True, validate_bool],
-    'savefig.orientation': ['portrait', validate_orientation],  # edgecolor;
-                                                                 #white
-    'savefig.jpeg_quality': [95, validate_int],
-    # what to add to extensionless filenames
-    'savefig.extension':  ['png', deprecate_savefig_extension],
-    # value checked by backend at runtime
-    'savefig.format':     ['png', update_savefig_format],
-    # options are 'tight', or 'standard'. 'standard' validates to None.
-    'savefig.bbox':       [None, validate_bbox],
-    'savefig.pad_inches': [0.1, validate_float],
+    'savefig.dpi':          validate_dpi,
+    'savefig.facecolor':    validate_color_or_auto,
+    'savefig.edgecolor':    validate_color_or_auto,
+    'savefig.orientation':  ['landscape', 'portrait'],
+    "savefig.format":       validate_string,
+    "savefig.bbox":         validate_bbox,  # "tight", or "standard" (= None)
+    "savefig.pad_inches":   validate_float,
     # default directory in savefig dialog box
-    'savefig.directory': ['~', six.text_type],
-    'savefig.transparent': [False, validate_bool],
+    "savefig.directory":    _validate_pathlike,
+    "savefig.transparent":  validate_bool,
+
+    "tk.window_focus": validate_bool,  # Maintain shell focus for TkAgg
 
-    # Maintain shell focus for TkAgg
-    'tk.window_focus':  [False, validate_bool],
-    'tk.pythoninspect': [False, validate_tkpythoninspect],  # obsolete
     # Set the papersize/type
-    'ps.papersize':     ['letter', validate_ps_papersize],
-    'ps.useafm':        [False, validate_bool],  # Set PYTHONINSPECT
+    "ps.papersize":       _ignorecase(
+                                ["figure", "letter", "legal", "ledger",
+                                 *[f"{ab}{i}" for ab in "ab" for i in range(11)]]),
+    "ps.useafm":          validate_bool,
     # use ghostscript or xpdf to distill ps output
-    'ps.usedistiller':  [False, validate_ps_distiller],
-    'ps.distiller.res': [6000, validate_int],     # dpi
-    'ps.fonttype':      [3, validate_fonttype],  # 3 (Type3) or 42 (Truetype)
-    # compression level from 0 to 9; 0 to disable
-    'pdf.compression':  [6, validate_int],
-    # ignore any color-setting commands from the frontend
-    'pdf.inheritcolor': [False, validate_bool],
+    "ps.usedistiller":    validate_ps_distiller,
+    "ps.distiller.res":   validate_int,  # dpi
+    "ps.fonttype":        validate_fonttype,  # 3 (Type3) or 42 (Truetype)
+    "pdf.compression":    validate_int,  # 0-9 compression level; 0 to disable
+    "pdf.inheritcolor":   validate_bool,  # skip color setting commands
     # use only the 14 PDF core fonts embedded in every PDF viewing application
-    'pdf.use14corefonts': [False, validate_bool],
-    'pdf.fonttype':     [3, validate_fonttype],  # 3 (Type3) or 42 (Truetype)
-
-    'pgf.debug':     [False, validate_bool],  # output debug information
-    # choose latex application for creating pdf files (xelatex/lualatex)
-    'pgf.texsystem': ['xelatex', validate_pgf_texsystem],
-    # use matplotlib rc settings for font configuration
-    'pgf.rcfonts':   [True, validate_bool],
-    # provide a custom preamble for the latex process
-    'pgf.preamble':  [[''], validate_stringlist],
-
-    # write raster image data directly into the svg file
-    'svg.image_inline':     [True, validate_bool],
-    # suppress scaling of raster data embedded in SVG
-    'svg.image_noscale':    [False, validate_bool],
-    # True to save all characters as paths in the SVG
-    'svg.embed_char_paths': [True, deprecate_svg_embed_char_paths],
-    'svg.fonttype':         ['path', validate_svg_fonttype],
+    "pdf.use14corefonts": validate_bool,
+    "pdf.fonttype":       validate_fonttype,  # 3 (Type3) or 42 (Truetype)
+
+    "pgf.texsystem": ["xelatex", "lualatex", "pdflatex"],  # latex variant used
+    "pgf.rcfonts":   validate_bool,  # use mpl's rc settings for font config
+    "pgf.preamble":  validate_string,  # custom LaTeX preamble
+
+    # write raster image data into the svg file
+    "svg.image_inline": validate_bool,
+    "svg.fonttype": ["none", "path"],  # save text as text ("none") or "paths"
+    "svg.hashsalt": validate_string_or_None,
+    "svg.id": validate_string_or_None,
 
     # set this when you want to generate hardcopy docstring
-    'docstring.hardcopy': [False, validate_bool],
-    # where plugin directory is locate
-    'plugins.directory':  ['.matplotlib_plugins', six.text_type],
+    "docstring.hardcopy": validate_bool,
 
-    'path.simplify': [True, validate_bool],
-    'path.simplify_threshold': [1.0 / 9.0, ValidateInterval(0.0, 1.0)],
-    'path.snap': [True, validate_bool],
-    'path.sketch': [None, validate_sketch],
-    'path.effects': [[], validate_any],
-    'agg.path.chunksize': [0, validate_int],       # 0 to disable chunking;
+    "path.simplify":           validate_bool,
+    "path.simplify_threshold": _validate_greaterequal0_lessequal1,
+    "path.snap":               validate_bool,
+    "path.sketch":             validate_sketch,
+    "path.effects":            validate_anylist,
+    "agg.path.chunksize":      validate_int,  # 0 to disable chunking
 
     # key-mappings (multi-character mappings should be a list/tuple)
-    'keymap.fullscreen':   [('f', 'ctrl+f'), validate_stringlist],
-    'keymap.home':         [['h', 'r', 'home'], validate_stringlist],
-    'keymap.back':         [['left', 'c', 'backspace'], validate_stringlist],
-    'keymap.forward':      [['right', 'v'], validate_stringlist],
-    'keymap.pan':          [['p'], validate_stringlist],
-    'keymap.zoom':         [['o'], validate_stringlist],
-    'keymap.save':         [['s', 'ctrl+s'], validate_stringlist],
-    'keymap.quit':         [['ctrl+w', 'cmd+w'], validate_stringlist],
-    'keymap.grid':         [['g'], validate_stringlist],
-    'keymap.yscale':       [['l'], validate_stringlist],
-    'keymap.xscale':       [['k', 'L'], validate_stringlist],
-    'keymap.all_axes':     [['a'], validate_stringlist],
-
-    # sample data
-    'examples.directory': ['', six.text_type],
+    "keymap.fullscreen": validate_stringlist,
+    "keymap.home":       validate_stringlist,
+    "keymap.back":       validate_stringlist,
+    "keymap.forward":    validate_stringlist,
+    "keymap.pan":        validate_stringlist,
+    "keymap.zoom":       validate_stringlist,
+    "keymap.save":       validate_stringlist,
+    "keymap.quit":       validate_stringlist,
+    "keymap.quit_all":   validate_stringlist,  # e.g.: "W", "cmd+W", "Q"
+    "keymap.grid":       validate_stringlist,
+    "keymap.grid_minor": validate_stringlist,
+    "keymap.yscale":     validate_stringlist,
+    "keymap.xscale":     validate_stringlist,
+    "keymap.help":       validate_stringlist,
+    "keymap.copy":       validate_stringlist,
 
     # Animation settings
-    'animation.writer':       ['ffmpeg', validate_movie_writer],
-    'animation.codec':        ['mpeg4', six.text_type],
-    'animation.bitrate':      [-1, validate_int],
+    "animation.html":         ["html5", "jshtml", "none"],
+    # Limit, in MB, of size of base64 encoded animation in HTML
+    # (i.e. IPython notebook)
+    "animation.embed_limit":  validate_float,
+    "animation.writer":       validate_string,
+    "animation.codec":        validate_string,
+    "animation.bitrate":      validate_int,
     # Controls image format when frames are written to disk
-    'animation.frame_format': ['png', validate_movie_frame_fmt],
-    # Path to FFMPEG binary. If just binary name, subprocess uses $PATH.
-    'animation.ffmpeg_path':  ['ffmpeg', six.text_type],
-
+    "animation.frame_format": ["png", "jpeg", "tiff", "raw", "rgba", "ppm",
+                               "sgi", "bmp", "pbm", "svg"],
+    # Path to ffmpeg binary. If just binary name, subprocess uses $PATH.
+    "animation.ffmpeg_path":  _validate_pathlike,
     # Additional arguments for ffmpeg movie writer (using pipes)
-    'animation.ffmpeg_args':   [[], validate_stringlist],
-    # Path to AVConv binary. If just binary name, subprocess uses $PATH.
-    'animation.avconv_path':   ['avconv', six.text_type],
-    # Additional arguments for avconv movie writer (using pipes)
-    'animation.avconv_args':   [[], validate_stringlist],
-    # Path to MENCODER binary. If just binary name, subprocess uses $PATH.
-    'animation.mencoder_path': ['mencoder', six.text_type],
-    # Additional arguments for mencoder movie writer (using pipes)
-    'animation.mencoder_args': [[], validate_stringlist],
-     # Path to convert binary. If just binary name, subprocess uses $PATH
-    'animation.convert_path':  ['convert', six.text_type],
-     # Additional arguments for mencoder movie writer (using pipes)
-
-    'animation.convert_args':  [[], validate_stringlist]}
-
-
-if __name__ == '__main__':
-    rc = defaultParams
-    rc['datapath'][0] = '/'
-    for key in rc:
-        if not rc[key][1](rc[key][0]) == rc[key][0]:
-            print("%s: %s != %s" % (key, rc[key][1](rc[key][0]), rc[key][0]))
+    "animation.ffmpeg_args":  validate_stringlist,
+     # Path to convert binary. If just binary name, subprocess uses $PATH.
+    "animation.convert_path": _validate_pathlike,
+     # Additional arguments for convert movie writer (using pipes)
+    "animation.convert_args": validate_stringlist,
+
+    # Classic (pre 2.0) compatibility mode
+    # This is used for things that are hard to make backward compatible
+    # with a sane rcParam alone.  This does *not* turn on classic mode
+    # altogether.  For that use `matplotlib.style.use("classic")`.
+    "_internal.classic_mode": validate_bool
+}
+_hardcoded_defaults = {  # Defaults not inferred from
+    # lib/matplotlib/mpl-data/matplotlibrc...
+    # ... because they are private:
+    "_internal.classic_mode": False,
+    # ... because they are deprecated:
+    # No current deprecations.
+    # backend is handled separately when constructing rcParamsDefault.
+}
+_validators = {k: _convert_validator_spec(k, conv)
+               for k, conv in _validators.items()}
diff --git a/lib/matplotlib/rcsetup.pyi b/lib/matplotlib/rcsetup.pyi
new file mode 100644
index 000000000000..eb1d7c9f3a33
--- /dev/null
+++ b/lib/matplotlib/rcsetup.pyi
@@ -0,0 +1,157 @@
+from cycler import Cycler
+
+from collections.abc import Callable, Iterable
+from typing import Any, Literal, TypeVar
+from matplotlib.typing import ColorType, LineStyleType, MarkEveryType
+
+
+_T = TypeVar("_T")
+
+def _listify_validator(s: Callable[[Any], _T]) -> Callable[[Any], list[_T]]: ...
+
+class ValidateInStrings:
+    key: str
+    ignorecase: bool
+    valid: dict[str, str]
+    def __init__(
+        self,
+        key: str,
+        valid: Iterable[str],
+        ignorecase: bool = ...,
+        *,
+        _deprecated_since: str | None = ...
+    ) -> None: ...
+    def __call__(self, s: Any) -> str: ...
+
+def validate_any(s: Any) -> Any: ...
+def validate_anylist(s: Any) -> list[Any]: ...
+def validate_bool(b: Any) -> bool: ...
+def validate_axisbelow(s: Any) -> bool | Literal["line"]: ...
+def validate_dpi(s: Any) -> Literal["figure"] | float: ...
+def validate_string(s: Any) -> str: ...
+def validate_string_or_None(s: Any) -> str | None: ...
+def validate_stringlist(s: Any) -> list[str]: ...
+def validate_int(s: Any) -> int: ...
+def validate_int_or_None(s: Any) -> int | None: ...
+def validate_float(s: Any) -> float: ...
+def validate_float_or_None(s: Any) -> float | None: ...
+def validate_floatlist(s: Any) -> list[float]: ...
+def _validate_marker(s: Any) -> int | str: ...
+def _validate_markerlist(s: Any) -> list[int | str]: ...
+def validate_fonttype(s: Any) -> int: ...
+
+_auto_backend_sentinel: object
+
+def validate_backend(s: Any) -> str: ...
+def validate_color_or_inherit(s: Any) -> Literal["inherit"] | ColorType: ...
+def validate_color_or_auto(s: Any) -> ColorType | Literal["auto"]: ...
+def _validate_color_or_edge(s: Any) -> ColorType | Literal["edge"]: ...
+def validate_color_for_prop_cycle(s: Any) -> ColorType: ...
+def validate_color(s: Any) -> ColorType: ...
+def validate_colorlist(s: Any) -> list[ColorType]: ...
+def _validate_color_or_linecolor(
+    s: Any,
+) -> ColorType | Literal["linecolor", "markerfacecolor", "markeredgecolor"] | None: ...
+def validate_aspect(s: Any) -> Literal["auto", "equal"] | float: ...
+def validate_fontsize_None(
+    s: Any,
+) -> Literal[
+    "xx-small",
+    "x-small",
+    "small",
+    "medium",
+    "large",
+    "x-large",
+    "xx-large",
+    "smaller",
+    "larger",
+] | float | None: ...
+def validate_fontsize(
+    s: Any,
+) -> Literal[
+    "xx-small",
+    "x-small",
+    "small",
+    "medium",
+    "large",
+    "x-large",
+    "xx-large",
+    "smaller",
+    "larger",
+] | float: ...
+def validate_fontsizelist(
+    s: Any,
+) -> list[
+    Literal[
+        "xx-small",
+        "x-small",
+        "small",
+        "medium",
+        "large",
+        "x-large",
+        "xx-large",
+        "smaller",
+        "larger",
+    ]
+    | float
+]: ...
+def validate_fontweight(
+    s: Any,
+) -> Literal[
+    "ultralight",
+    "light",
+    "normal",
+    "regular",
+    "book",
+    "medium",
+    "roman",
+    "semibold",
+    "demibold",
+    "demi",
+    "bold",
+    "heavy",
+    "extra bold",
+    "black",
+] | int: ...
+def validate_fontstretch(
+    s: Any,
+) -> Literal[
+    "ultra-condensed",
+    "extra-condensed",
+    "condensed",
+    "semi-condensed",
+    "normal",
+    "semi-expanded",
+    "expanded",
+    "extra-expanded",
+    "ultra-expanded",
+] | int: ...
+def validate_font_properties(s: Any) -> dict[str, Any]: ...
+def validate_whiskers(s: Any) -> list[float] | float: ...
+def validate_ps_distiller(s: Any) -> None | Literal["ghostscript", "xpdf"]: ...
+
+validate_fillstyle: ValidateInStrings
+
+def validate_fillstylelist(
+    s: Any,
+) -> list[Literal["full", "left", "right", "bottom", "top", "none"]]: ...
+def validate_markevery(s: Any) -> MarkEveryType: ...
+def _validate_linestyle(s: Any) -> LineStyleType: ...
+def validate_markeverylist(s: Any) -> list[MarkEveryType]: ...
+def validate_bbox(s: Any) -> Literal["tight", "standard"] | None: ...
+def validate_sketch(s: Any) -> None | tuple[float, float, float]: ...
+def validate_hatch(s: Any) -> str: ...
+def validate_hatchlist(s: Any) -> list[str]: ...
+def validate_dashlist(s: Any) -> list[list[float]]: ...
+
+# TODO: copy cycler overloads?
+def cycler(*args, **kwargs) -> Cycler: ...
+def validate_cycler(s: Any) -> Cycler: ...
+def validate_hist_bins(
+    s: Any,
+) -> Literal["auto", "sturges", "fd", "doane", "scott", "rice", "sqrt"] | int | list[
+    float
+]: ...
+
+# At runtime is added in __init__.py
+defaultParams: dict[str, Any]
diff --git a/lib/matplotlib/sankey.py b/lib/matplotlib/sankey.py
old mode 100755
new mode 100644
index d915fa034ba8..637cfc849f9d
--- a/lib/matplotlib/sankey.py
+++ b/lib/matplotlib/sankey.py
@@ -1,54 +1,24 @@
-#!/usr/bin/env python
 """
-Module for creating Sankey diagrams using matplotlib
+Module for creating Sankey diagrams using Matplotlib.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
-
-__author__ = "Kevin L. Davies"
-__credits__ = ["Yannick Copin"]
-__license__ = "BSD"
-__version__ = "2011/09/16"
-
-# Original version by Yannick Copin (ycopin@ipnl.in2p3.fr) 10/2/2010, available
-# at:
-#     http://matplotlib.org/examples/api/sankey_demo_old.html
-# Modifications by Kevin Davies (kld@alumni.carnegiemellon.edu) 6/3/2011:
-#   --Used arcs for the curves (so that the widths of the paths are uniform)
-#   --Converted the function to a class and created methods to join multiple
-#     simple Sankey diagrams
-#   --Provided handling for cases where the total of the inputs isn't 100
-#     Now, the default layout is based on the assumption that the inputs sum to
-#     1.  A scaling parameter can be used in other cases.
-#   --The call structure was changed to be more explicit about layout,
-#     including the length of the trunk, length of the paths, gap between the
-#     paths, and the margin around the diagram.
-#   --Allowed the lengths of paths to be adjusted individually, with an option
-#     to automatically justify them
-#   --The call structure was changed to make the specification of path
-#     orientation more flexible.  Flows are passed through one array, with
-#     inputs being positive and outputs being negative.  An orientation
-#     argument specifies the direction of the arrows.  The "main"
-#     inputs/outputs are now specified via an orientation of 0, and there may
-#     be several of each.
-#   --Added assertions to catch common calling errors
-#   --Added the physical unit as a string argument to be used in the labels, so
-#     that the values of the flows can usually be applied automatically
-#   --Added an argument for a minimum magnitude below which flows are not shown
-#   --Added a tapered trunk in the case that the flows do not sum to 0
-#   --Allowed the diagram to be rotated
+import logging
+from types import SimpleNamespace
 
 import numpy as np
 
-from matplotlib.cbook import iterable, Bunch
+import matplotlib as mpl
 from matplotlib.path import Path
 from matplotlib.patches import PathPatch
 from matplotlib.transforms import Affine2D
-from matplotlib import verbose
-from matplotlib import docstring
+from matplotlib import _docstring
+
+_log = logging.getLogger(__name__)
+
+__author__ = "Kevin L. Davies"
+__credits__ = ["Yannick Copin"]
+__license__ = "BSD"
+__version__ = "2011/09/16"
 
 # Angles [deg/90]
 RIGHT = 0
@@ -57,15 +27,15 @@
 DOWN = 3
 
 
-class Sankey(object):
+class Sankey:
     """
-    Sankey diagram in matplotlib
+    Sankey diagram.
 
       Sankey diagrams are a specific type of flow diagram, in which
       the width of the arrows is shown proportionally to the flow
       quantity.  They are typically used to visualize energy or
       material or cost transfers between processes.
-      `Wikipedia (6/1/2011) <http://en.wikipedia.org/wiki/Sankey_diagram>`_
+      `Wikipedia (6/1/2011) <https://en.wikipedia.org/wiki/Sankey_diagram>`_
 
     """
 
@@ -75,52 +45,11 @@ def __init__(self, ax=None, scale=1.0, unit='', format='%G', gap=0.25,
         """
         Create a new Sankey instance.
 
-        Optional keyword arguments:
-
-          ===============   ===================================================
-          Field             Description
-          ===============   ===================================================
-          *ax*              axes onto which the data should be plotted
-                            If *ax* isn't provided, new axes will be created.
-          *scale*           scaling factor for the flows
-                            *scale* sizes the width of the paths in order to
-                            maintain proper layout.  The same scale is applied
-                            to all subdiagrams.  The value should be chosen
-                            such that the product of the scale and the sum of
-                            the inputs is approximately 1.0 (and the product of
-                            the scale and the sum of the outputs is
-                            approximately -1.0).
-          *unit*            string representing the physical unit associated
-                            with the flow quantities
-                            If *unit* is None, then none of the quantities are
-                            labeled.
-          *format*          a Python number formatting string to be used in
-                            labeling the flow as a quantity (i.e., a number
-                            times a unit, where the unit is given)
-          *gap*             space between paths that break in/break away
-                            to/from the top or bottom
-          *radius*          inner radius of the vertical paths
-          *shoulder*        size of the shoulders of output arrowS
-          *offset*          text offset (from the dip or tip of the arrow)
-          *head_angle*      angle of the arrow heads (and negative of the angle
-                            of the tails) [deg]
-          *margin*          minimum space between Sankey outlines and the edge
-                            of the plot area
-          *tolerance*       acceptable maximum of the magnitude of the sum of
-                            flows
-                            The magnitude of the sum of connected flows cannot
-                            be greater than *tolerance*.
-          ===============   ===================================================
-
-        The optional arguments listed above are applied to all subdiagrams so
+        The optional arguments listed below are applied to all subdiagrams so
         that there is consistent alignment and formatting.
 
-        If :class:`Sankey` is instantiated with any keyword arguments other
-        than those explicitly listed above (``**kwargs``), they will be passed
-        to :meth:`add`, which will create the first subdiagram.
-
         In order to draw a complex Sankey diagram, create an instance of
-        :class:`Sankey` by calling it without any kwargs::
+        `Sankey` by calling it without any kwargs::
 
             sankey = Sankey()
 
@@ -139,31 +68,77 @@ def __init__(self, ax=None, scale=1.0, unit='', format='%G', gap=0.25,
 
             Sankey().add().add...  .add().finish()
 
-        .. seealso::
-
-            :meth:`add`
-            :meth:`finish`
-
-
-        **Examples:**
-
-            .. plot:: mpl_examples/api/sankey_demo_basics.py
+        Other Parameters
+        ----------------
+        ax : `~matplotlib.axes.Axes`
+            Axes onto which the data should be plotted.  If *ax* isn't
+            provided, new Axes will be created.
+        scale : float
+            Scaling factor for the flows.  *scale* sizes the width of the paths
+            in order to maintain proper layout.  The same scale is applied to
+            all subdiagrams.  The value should be chosen such that the product
+            of the scale and the sum of the inputs is approximately 1.0 (and
+            the product of the scale and the sum of the outputs is
+            approximately -1.0).
+        unit : str
+            The physical unit associated with the flow quantities.  If *unit*
+            is None, then none of the quantities are labeled.
+        format : str or callable
+            A Python number formatting string or callable used to label the
+            flows with their quantities (i.e., a number times a unit, where the
+            unit is given). If a format string is given, the label will be
+            ``format % quantity``. If a callable is given, it will be called
+            with ``quantity`` as an argument.
+        gap : float
+            Space between paths that break in/break away to/from the top or
+            bottom.
+        radius : float
+            Inner radius of the vertical paths.
+        shoulder : float
+            Size of the shoulders of output arrows.
+        offset : float
+            Text offset (from the dip or tip of the arrow).
+        head_angle : float
+            Angle, in degrees, of the arrow heads (and negative of the angle of
+            the tails).
+        margin : float
+            Minimum space between Sankey outlines and the edge of the plot
+            area.
+        tolerance : float
+            Acceptable maximum of the magnitude of the sum of flows.  The
+            magnitude of the sum of connected flows cannot be greater than
+            *tolerance*.
+        **kwargs
+            Any additional keyword arguments will be passed to `add`, which
+            will create the first subdiagram.
+
+        See Also
+        --------
+        Sankey.add
+        Sankey.finish
+
+        Examples
+        --------
+        .. plot:: gallery/specialty_plots/sankey_basics.py
         """
         # Check the arguments.
-        assert gap >= 0, (
-            "The gap is negative.\nThis isn't allowed because it "
-            "would cause the paths to overlap.")
-        assert radius <= gap, (
-            "The inner radius is greater than the path spacing.\n"
-            "This isn't allowed because it would cause the paths to overlap.")
-        assert head_angle >= 0, (
-            "The angle is negative.\nThis isn't allowed "
-            "because it would cause inputs to look like "
-            "outputs and vice versa.")
-        assert tolerance >= 0, (
-            "The tolerance is negative.\nIt must be a magnitude.")
-
-        # Create axes if necessary.
+        if gap < 0:
+            raise ValueError(
+                "'gap' is negative, which is not allowed because it would "
+                "cause the paths to overlap")
+        if radius > gap:
+            raise ValueError(
+                "'radius' is greater than 'gap', which is not allowed because "
+                "it would cause the paths to overlap")
+        if head_angle < 0:
+            raise ValueError(
+                "'head_angle' is negative, which is not allowed because it "
+                "would cause inputs to look like outputs and vice versa")
+        if tolerance < 0:
+            raise ValueError(
+                "'tolerance' is negative, but it must be a magnitude")
+
+        # Create Axes if necessary.
         if ax is None:
             import matplotlib.pyplot as plt
             fig = plt.figure()
@@ -196,15 +171,17 @@ def _arc(self, quadrant=0, cw=True, radius=1, center=(0, 0)):
         Return the codes and vertices for a rotated, scaled, and translated
         90 degree arc.
 
-        Optional keyword arguments:
-
-          ===============   ==========================================
-          Keyword           Description
-          ===============   ==========================================
-          *quadrant*        uses 0-based indexing (0, 1, 2, or 3)
-          *cw*              if True, clockwise
-          *center*          (x, y) tuple of the arc's center
-          ===============   ==========================================
+        Other Parameters
+        ----------------
+        quadrant : {0, 1, 2, 3}, default: 0
+            Uses 0-based indexing (0, 1, 2, or 3).
+        cw : bool, default: True
+            If True, the arc vertices are produced clockwise; counter-clockwise
+            otherwise.
+        radius : float, default: 1
+            The radius of the arc.
+        center : (float, float), default: (0, 0)
+            (x, y) tuple of the arc's center.
         """
         # Note:  It would be possible to use matplotlib's transforms to rotate,
         # scale, and translate the arc, but since the angles are discrete,
@@ -217,7 +194,7 @@ def _arc(self, quadrant=0, cw=True, radius=1, center=(0, 0)):
                      Path.CURVE4,
                      Path.CURVE4]
         # Vertices of a cubic Bezier curve approximating a 90 deg arc
-        # These can be determined by Path.arc(0,90).
+        # These can be determined by Path.arc(0, 90).
         ARC_VERTICES = np.array([[1.00000000e+00, 0.00000000e+00],
                                  [1.00000000e+00, 2.65114773e-01],
                                  [8.94571235e-01, 5.19642327e-01],
@@ -225,14 +202,14 @@ def _arc(self, quadrant=0, cw=True, radius=1, center=(0, 0)):
                                  [5.19642327e-01, 8.94571235e-01],
                                  [2.65114773e-01, 1.00000000e+00],
                                  # Insignificant
-                                 #[6.12303177e-17, 1.00000000e+00]])
+                                 # [6.12303177e-17, 1.00000000e+00]])
                                  [0.00000000e+00, 1.00000000e+00]])
-        if quadrant == 0 or quadrant == 2:
+        if quadrant in (0, 2):
             if cw:
                 vertices = ARC_VERTICES
             else:
                 vertices = ARC_VERTICES[:, ::-1]  # Swap x and y.
-        elif quadrant == 1 or quadrant == 3:
+        else:  # 1, 3
             # Negate x.
             if cw:
                 # Swap x and y.
@@ -322,15 +299,11 @@ def _add_output(self, path, angle, flow, length):
             else:  # Vertical
                 x += self.gap
                 if angle == UP:
-                    sign = 1
+                    sign, quadrant = 1, 3
                 else:
-                    sign = -1
+                    sign, quadrant = -1, 0
 
                 tip = [x - flow / 2.0, y + sign * (length + tipheight)]
-                if angle == UP:
-                    quadrant = 3
-                else:
-                    quadrant = 0
                 # Inner arc isn't needed if inner radius is zero
                 if self.radius:
                     path.extend(self._arc(quadrant=quadrant,
@@ -358,7 +331,7 @@ def _add_output(self, path, angle, flow, length):
 
     def _revert(self, path, first_action=Path.LINETO):
         """
-        A path is not simply revertable by path[::-1] since the code
+        A path is not simply reversible by path[::-1] since the code
         specifies an action to take from the **previous** point.
         """
         reverse_path = []
@@ -369,99 +342,99 @@ def _revert(self, path, first_action=Path.LINETO):
         return reverse_path
         # This might be more efficient, but it fails because 'tuple' object
         # doesn't support item assignment:
-        #path[1] = path[1][-1:0:-1]
-        #path[1][0] = first_action
-        #path[2] = path[2][::-1]
-        #return path
+        # path[1] = path[1][-1:0:-1]
+        # path[1][0] = first_action
+        # path[2] = path[2][::-1]
+        # return path
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def add(self, patchlabel='', flows=None, orientations=None, labels='',
             trunklength=1.0, pathlengths=0.25, prior=None, connect=(0, 0),
             rotation=0, **kwargs):
         """
         Add a simple Sankey diagram with flows at the same hierarchical level.
 
-        Return value is the instance of :class:`Sankey`.
-
-        Optional keyword arguments:
-
-          ===============   ===================================================
-          Keyword           Description
-          ===============   ===================================================
-          *patchlabel*      label to be placed at the center of the diagram
-                            Note: *label* (not *patchlabel*) will be passed to
-                            the patch through ``**kwargs`` and can be used to
-                            create an entry in the legend.
-          *flows*           array of flow values
-                            By convention, inputs are positive and outputs are
-                            negative.
-          *orientations*    list of orientations of the paths
-                            Valid values are 1 (from/to the top), 0 (from/to
-                            the left or right), or -1 (from/to the bottom).  If
-                            *orientations* == 0, inputs will break in from the
-                            left and outputs will break away to the right.
-          *labels*          list of specifications of the labels for the flows
-                            Each value may be *None* (no labels), '' (just
-                            label the quantities), or a labeling string.  If a
-                            single value is provided, it will be applied to all
-                            flows.  If an entry is a non-empty string, then the
-                            quantity for the corresponding flow will be shown
-                            below the string.  However, if the *unit* of the
-                            main diagram is None, then quantities are never
-                            shown, regardless of the value of this argument.
-          *trunklength*     length between the bases of the input and output
-                            groups
-          *pathlengths*     list of lengths of the arrows before break-in or
-                            after break-away
-                            If a single value is given, then it will be applied
-                            to the first (inside) paths on the top and bottom,
-                            and the length of all other arrows will be
-                            justified accordingly.  The *pathlengths* are not
-                            applied to the horizontal inputs and outputs.
-          *prior*           index of the prior diagram to which this diagram
-                            should be connected
-          *connect*         a (prior, this) tuple indexing the flow of the
-                            prior diagram and the flow of this diagram which
-                            should be connected
-                            If this is the first diagram or *prior* is *None*,
-                            *connect* will be ignored.
-          *rotation*        angle of rotation of the diagram [deg]
-                            *rotation* is ignored if this diagram is connected
-                            to an existing one (using *prior* and *connect*).
-                            The interpretation of the *orientations* argument
-                            will be rotated accordingly (e.g., if *rotation*
-                            == 90, an *orientations* entry of 1 means to/from
-                            the left).
-          ===============   ===================================================
-
-        Valid kwargs are :meth:`matplotlib.patches.PathPatch` arguments:
-
-        %(Patch)s
-
-        As examples, ``fill=False`` and ``label='A legend entry'``.
-        By default, ``facecolor='#bfd1d4'`` (light blue) and
-        ``linewidth=0.5``.
-
-        The indexing parameters (*prior* and *connect*) are zero-based.
-
-        The flows are placed along the top of the diagram from the inside out
-        in order of their index within the *flows* list or array.  They are
-        placed along the sides of the diagram from the top down and along the
-        bottom from the outside in.
-
-        If the the sum of the inputs and outputs is nonzero, the discrepancy
-        will appear as a cubic Bezier curve along the top and bottom edges of
-        the trunk.
-
-        .. seealso::
-
-            :meth:`finish`
+        Parameters
+        ----------
+        patchlabel : str
+            Label to be placed at the center of the diagram.
+            Note that *label* (not *patchlabel*) can be passed as keyword
+            argument to create an entry in the legend.
+
+        flows : list of float
+            Array of flow values.  By convention, inputs are positive and
+            outputs are negative.
+
+            Flows are placed along the top of the diagram from the inside out
+            in order of their index within *flows*.  They are placed along the
+            sides of the diagram from the top down and along the bottom from
+            the outside in.
+
+            If the sum of the inputs and outputs is
+            nonzero, the discrepancy will appear as a cubic Bézier curve along
+            the top and bottom edges of the trunk.
+
+        orientations : list of {-1, 0, 1}
+            List of orientations of the flows (or a single orientation to be
+            used for all flows).  Valid values are 0 (inputs from
+            the left, outputs to the right), 1 (from and to the top) or -1
+            (from and to the bottom).
+
+        labels : list of (str or None)
+            List of labels for the flows (or a single label to be used for all
+            flows).  Each label may be *None* (no label), or a labeling string.
+            If an entry is a (possibly empty) string, then the quantity for the
+            corresponding flow will be shown below the string.  However, if
+            the *unit* of the main diagram is None, then quantities are never
+            shown, regardless of the value of this argument.
+
+        trunklength : float
+            Length between the bases of the input and output groups (in
+            data-space units).
+
+        pathlengths : list of float
+            List of lengths of the vertical arrows before break-in or after
+            break-away.  If a single value is given, then it will be applied to
+            the first (inside) paths on the top and bottom, and the length of
+            all other arrows will be justified accordingly.  The *pathlengths*
+            are not applied to the horizontal inputs and outputs.
+
+        prior : int
+            Index of the prior diagram to which this diagram should be
+            connected.
+
+        connect : (int, int)
+            A (prior, this) tuple indexing the flow of the prior diagram and
+            the flow of this diagram which should be connected.  If this is the
+            first diagram or *prior* is *None*, *connect* will be ignored.
+
+        rotation : float
+            Angle of rotation of the diagram in degrees.  The interpretation of
+            the *orientations* argument will be rotated accordingly (e.g., if
+            *rotation* == 90, an *orientations* entry of 1 means to/from the
+            left).  *rotation* is ignored if this diagram is connected to an
+            existing one (using *prior* and *connect*).
+
+        Returns
+        -------
+        Sankey
+            The current `.Sankey` instance.
+
+        Other Parameters
+        ----------------
+        **kwargs
+           Additional keyword arguments set `matplotlib.patches.PathPatch`
+           properties, listed below.  For example, one may want to use
+           ``fill=False`` or ``label="A legend entry"``.
+
+        %(Patch:kwdoc)s
+
+        See Also
+        --------
+        Sankey.finish
         """
         # Check and preprocess the arguments.
-        if flows is None:
-            flows = np.array([1.0, -1.0])
-        else:
-            flows = np.array(flows)
+        flows = np.array([1.0, -1.0]) if flows is None else np.array(flows)
         n = flows.shape[0]  # Number of flows
         if rotation is None:
             rotation = 0
@@ -469,65 +442,62 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
             # In the code below, angles are expressed in deg/90.
             rotation /= 90.0
         if orientations is None:
-            orientations = [0, 0]
-        assert len(orientations) == n, (
-            "orientations and flows must have the same length.\n"
-            "orientations has length %d, but flows has length %d."
-            % (len(orientations), n))
-        if labels != '' and getattr(labels, '__iter__', False):
-        # iterable() isn't used because it would give True if labels is a
-        # string
-            assert len(labels) == n, (
-                "If labels is a list, then labels and flows must have the "
-                "same length.\nlabels has length %d, but flows has length %d."
-                % (len(labels), n))
-        else:
-            labels = [labels] * n
-        assert trunklength >= 0, (
-            "trunklength is negative.\nThis isn't allowed, because it would "
-            "cause poor layout.")
-        if np.absolute(np.sum(flows)) > self.tolerance:
-            verbose.report(
-                "The sum of the flows is nonzero (%f).\nIs the "
-                "system not at steady state?" % np.sum(flows), 'helpful')
+            orientations = 0
+        try:
+            orientations = np.broadcast_to(orientations, n)
+        except ValueError:
+            raise ValueError(
+                f"The shapes of 'flows' {np.shape(flows)} and 'orientations' "
+                f"{np.shape(orientations)} are incompatible"
+            ) from None
+        try:
+            labels = np.broadcast_to(labels, n)
+        except ValueError:
+            raise ValueError(
+                f"The shapes of 'flows' {np.shape(flows)} and 'labels' "
+                f"{np.shape(labels)} are incompatible"
+            ) from None
+        if trunklength < 0:
+            raise ValueError(
+                "'trunklength' is negative, which is not allowed because it "
+                "would cause poor layout")
+        if abs(np.sum(flows)) > self.tolerance:
+            _log.info("The sum of the flows is nonzero (%f; patchlabel=%r); "
+                      "is the system not at steady state?",
+                      np.sum(flows), patchlabel)
         scaled_flows = self.scale * flows
         gain = sum(max(flow, 0) for flow in scaled_flows)
         loss = sum(min(flow, 0) for flow in scaled_flows)
-        if not (0.5 <= gain <= 2.0):
-            verbose.report(
-                "The scaled sum of the inputs is %f.\nThis may "
-                "cause poor layout.\nConsider changing the scale so"
-                " that the scaled sum is approximately 1.0." % gain, 'helpful')
-        if not (-2.0 <= loss <= -0.5):
-            verbose.report(
-                "The scaled sum of the outputs is %f.\nThis may "
-                "cause poor layout.\nConsider changing the scale so"
-                " that the scaled sum is approximately 1.0." % gain, 'helpful')
         if prior is not None:
-            assert prior >= 0, "The index of the prior diagram is negative."
-            assert min(connect) >= 0, (
-                "At least one of the connection indices is negative.")
-            assert prior < len(self.diagrams), (
-                "The index of the prior diagram is %d, but there are "
-                "only %d other diagrams.\nThe index is zero-based."
-                % (prior, len(self.diagrams)))
-            assert connect[0] < len(self.diagrams[prior].flows), (
-                "The connection index to the source diagram is %d, but "
-                "that diagram has only %d flows.\nThe index is zero-based."
-                % (connect[0], len(self.diagrams[prior].flows)))
-            assert connect[1] < n, (
-                "The connection index to this diagram is %d, but this diagram"
-                "has only %d flows.\n The index is zero-based."
-                % (connect[1], n))
-            assert self.diagrams[prior].angles[connect[0]] is not None, (
-                "The connection cannot be made.  Check that the magnitude "
-                "of flow %d of diagram %d is greater than or equal to the "
-                "specified tolerance." % (connect[0], prior))
+            if prior < 0:
+                raise ValueError("The index of the prior diagram is negative")
+            if min(connect) < 0:
+                raise ValueError(
+                    "At least one of the connection indices is negative")
+            if prior >= len(self.diagrams):
+                raise ValueError(
+                    f"The index of the prior diagram is {prior}, but there "
+                    f"are only {len(self.diagrams)} other diagrams")
+            if connect[0] >= len(self.diagrams[prior].flows):
+                raise ValueError(
+                    "The connection index to the source diagram is {}, but "
+                    "that diagram has only {} flows".format(
+                        connect[0], len(self.diagrams[prior].flows)))
+            if connect[1] >= n:
+                raise ValueError(
+                    f"The connection index to this diagram is {connect[1]}, "
+                    f"but this diagram has only {n} flows")
+            if self.diagrams[prior].angles[connect[0]] is None:
+                raise ValueError(
+                    f"The connection cannot be made, which may occur if the "
+                    f"magnitude of flow {connect[0]} of diagram {prior} is "
+                    f"less than the specified tolerance")
             flow_error = (self.diagrams[prior].flows[connect[0]] +
                           flows[connect[1]])
-            assert abs(flow_error) < self.tolerance, (
-                "The scaled sum of the connected flows is %f, which is not "
-                "within the tolerance (%f)." % (flow_error, self.tolerance))
+            if abs(flow_error) >= self.tolerance:
+                raise ValueError(
+                    f"The scaled sum of the connected flows is {flow_error}, "
+                    f"which is not within the tolerance ({self.tolerance})")
 
         # Determine if the flows are inputs.
         are_inputs = [None] * n
@@ -537,11 +507,10 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
             elif flow <= -self.tolerance:
                 are_inputs[i] = False
             else:
-                verbose.report(
-                    "The magnitude of flow %d (%f) is below the "
-                    "tolerance (%f).\nIt will not be shown, and it "
-                    "cannot be used in a connection."
-                    % (i, flow, self.tolerance), 'helpful')
+                _log.info(
+                    "The magnitude of flow %d (%f) is below the tolerance "
+                    "(%f).\nIt will not be shown, and it cannot be used in a "
+                    "connection.", i, flow, self.tolerance)
 
         # Determine the angles of the arrows (before rotation).
         angles = [None] * n
@@ -549,27 +518,28 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
             if orient == 1:
                 if is_input:
                     angles[i] = DOWN
-                elif not is_input:
+                elif is_input is False:
                     # Be specific since is_input can be None.
                     angles[i] = UP
             elif orient == 0:
                 if is_input is not None:
                     angles[i] = RIGHT
             else:
-                assert orient == -1, (
-                    "The value of orientations[%d] is %d, "
-                    "but it must be -1, 0, or 1." % (i, orient))
+                if orient != -1:
+                    raise ValueError(
+                        f"The value of orientations[{i}] is {orient}, "
+                        f"but it must be -1, 0, or 1")
                 if is_input:
                     angles[i] = UP
-                elif not is_input:
+                elif is_input is False:
                     angles[i] = DOWN
 
         # Justify the lengths of the paths.
-        if iterable(pathlengths):
-            assert len(pathlengths) == n, (
-                "If pathlengths is a list, then pathlengths and flows must "
-                "have the same length.\npathlengths has length %d, but flows "
-                "has length %d." % (len(pathlengths), n))
+        if np.iterable(pathlengths):
+            if len(pathlengths) != n:
+                raise ValueError(
+                    f"The lengths of 'flows' ({n}) and 'pathlengths' "
+                    f"({len(pathlengths)}) are incompatible")
         else:  # Make pathlengths into a list.
             urlength = pathlengths
             ullength = pathlengths
@@ -584,24 +554,24 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
                 if angle == DOWN and is_input:
                     pathlengths[i] = ullength
                     ullength += flow
-                elif angle == UP and not is_input:
+                elif angle == UP and is_input is False:
                     pathlengths[i] = urlength
                     urlength -= flow  # Flow is negative for outputs.
             # Determine the lengths of the bottom-side arrows
             # from the middle outwards.
             for i, (angle, is_input, flow) in enumerate(reversed(list(zip(
-                angles, are_inputs, scaled_flows)))):
+                  angles, are_inputs, scaled_flows)))):
                 if angle == UP and is_input:
                     pathlengths[n - i - 1] = lllength
                     lllength += flow
-                elif angle == DOWN and not is_input:
+                elif angle == DOWN and is_input is False:
                     pathlengths[n - i - 1] = lrlength
                     lrlength -= flow
             # Determine the lengths of the left-side arrows
             # from the bottom upwards.
             has_left_input = False
             for i, (angle, is_input, spec) in enumerate(reversed(list(zip(
-                angles, are_inputs, zip(scaled_flows, pathlengths))))):
+                  angles, are_inputs, zip(scaled_flows, pathlengths))))):
                 if angle == RIGHT:
                     if is_input:
                         if has_left_input:
@@ -612,9 +582,9 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
             # from the top downwards.
             has_right_output = False
             for i, (angle, is_input, spec) in enumerate(zip(
-                angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
+                  angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
                 if angle == RIGHT:
-                    if not is_input:
+                    if is_input is False:
                         if has_right_output:
                             pathlengths[i] = 0
                         else:
@@ -656,28 +626,28 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
         label_locations = np.zeros((n, 2))
         # Add the top-side inputs and outputs from the middle outwards.
         for i, (angle, is_input, spec) in enumerate(zip(
-            angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
+              angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
             if angle == DOWN and is_input:
                 tips[i, :], label_locations[i, :] = self._add_input(
                     ulpath, angle, *spec)
-            elif angle == UP and not is_input:
+            elif angle == UP and is_input is False:
                 tips[i, :], label_locations[i, :] = self._add_output(
                     urpath, angle, *spec)
         # Add the bottom-side inputs and outputs from the middle outwards.
         for i, (angle, is_input, spec) in enumerate(reversed(list(zip(
-            angles, are_inputs, list(zip(scaled_flows, pathlengths)))))):
+              angles, are_inputs, list(zip(scaled_flows, pathlengths)))))):
             if angle == UP and is_input:
                 tip, label_location = self._add_input(llpath, angle, *spec)
                 tips[n - i - 1, :] = tip
                 label_locations[n - i - 1, :] = label_location
-            elif angle == DOWN and not is_input:
+            elif angle == DOWN and is_input is False:
                 tip, label_location = self._add_output(lrpath, angle, *spec)
                 tips[n - i - 1, :] = tip
                 label_locations[n - i - 1, :] = label_location
         # Add the left-side inputs from the bottom upwards.
         has_left_input = False
         for i, (angle, is_input, spec) in enumerate(reversed(list(zip(
-            angles, are_inputs, list(zip(scaled_flows, pathlengths)))))):
+              angles, are_inputs, list(zip(scaled_flows, pathlengths)))))):
             if angle == RIGHT and is_input:
                 if not has_left_input:
                     # Make sure the lower path extends
@@ -692,8 +662,8 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
         # Add the right-side outputs from the top downwards.
         has_right_output = False
         for i, (angle, is_input, spec) in enumerate(zip(
-            angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
-            if angle == RIGHT and not is_input:
+              angles, are_inputs, list(zip(scaled_flows, pathlengths)))):
+            if angle == RIGHT and is_input is False:
                 if not has_right_output:
                     # Make sure the upper path extends
                     # at least as far as the lower one.
@@ -716,7 +686,7 @@ def add(self, patchlabel='', flows=None, orientations=None, labels='',
                 [(Path.CLOSEPOLY, urpath[0][1])])
 
         # Create a patch with the Sankey outline.
-        codes, vertices = list(zip(*path))
+        codes, vertices = zip(*path)
         vertices = np.array(vertices)
 
         def _get_angle(a, r):
@@ -746,18 +716,15 @@ def _get_angle(a, r):
             vertices = translate(rotate(vertices))
             kwds = dict(s=patchlabel, ha='center', va='center')
             text = self.ax.text(*offset, **kwds)
-        if False:  # Debug
-            print("llpath\n", llpath)
-            print("ulpath\n", self._revert(ulpath))
-            print("urpath\n", urpath)
-            print("lrpath\n", self._revert(lrpath))
-            xs, ys = list(zip(*vertices))
-            self.ax.plot(xs, ys, 'go-')
-        patch = PathPatch(Path(vertices, codes),
-                          fc=kwargs.pop('fc', kwargs.pop('facecolor',
-                                        '#bfd1d4')),  # Custom defaults
-                          lw=kwargs.pop('lw', kwargs.pop('linewidth', 0.5)),
-                          **kwargs)
+        if mpl.rcParams['_internal.classic_mode']:
+            fc = kwargs.pop('fc', kwargs.pop('facecolor', '#bfd1d4'))
+            lw = kwargs.pop('lw', kwargs.pop('linewidth', 0.5))
+        else:
+            fc = kwargs.pop('fc', kwargs.pop('facecolor', None))
+            lw = kwargs.pop('lw', kwargs.pop('linewidth', None))
+        if fc is None:
+            fc = self.ax._get_patches_for_fill.get_next_color()
+        patch = PathPatch(Path(vertices, codes), fc=fc, lw=lw, **kwargs)
         self.ax.add_patch(patch)
 
         # Add the path labels.
@@ -767,7 +734,13 @@ def _get_angle(a, r):
             if label is None or angle is None:
                 label = ''
             elif self.unit is not None:
-                quantity = self.format % abs(number) + self.unit
+                if isinstance(self.format, str):
+                    quantity = self.format % abs(number) + self.unit
+                elif callable(self.format):
+                    quantity = self.format(number)
+                else:
+                    raise TypeError(
+                        'format must be callable or a format string')
                 if label != '':
                     label += "\n"
                 label += quantity
@@ -795,50 +768,43 @@ def _get_angle(a, r):
         # where either could determine the margins (e.g., arrow shoulders).
 
         # Add this diagram as a subdiagram.
-        self.diagrams.append(Bunch(patch=patch, flows=flows, angles=angles,
-                                   tips=tips, text=text, texts=texts))
+        self.diagrams.append(
+            SimpleNamespace(patch=patch, flows=flows, angles=angles, tips=tips,
+                            text=text, texts=texts))
 
         # Allow a daisy-chained call structure (see docstring for the class).
         return self
 
     def finish(self):
         """
-        Adjust the axes and return a list of information about the Sankey
+        Adjust the Axes and return a list of information about the Sankey
         subdiagram(s).
 
-        Return value is a list of subdiagrams represented with the following
-        fields:
-
-          ===============   ===================================================
-          Field             Description
-          ===============   ===================================================
-          *patch*           Sankey outline (an instance of
-                            :class:`~maplotlib.patches.PathPatch`)
-          *flows*           values of the flows (positive for input, negative
-                            for output)
-          *angles*          list of angles of the arrows [deg/90]
-                            For example, if the diagram has not been rotated,
-                            an input to the top side will have an angle of 3
-                            (DOWN), and an output from the top side will have
-                            an angle of 1 (UP).  If a flow has been skipped
-                            (because its magnitude is less than *tolerance*),
-                            then its angle will be *None*.
-          *tips*            array in which each row is an [x, y] pair
-                            indicating the positions of the tips (or "dips") of
-                            the flow paths
-                            If the magnitude of a flow is less the *tolerance*
-                            for the instance of :class:`Sankey`, the flow is
-                            skipped and its tip will be at the center of the
-                            diagram.
-          *text*            :class:`~matplotlib.text.Text` instance for the
-                            label of the diagram
-          *texts*           list of :class:`~matplotlib.text.Text` instances
-                            for the labels of flows
-          ===============   ===================================================
-
-        .. seealso::
-
-            :meth:`add`
+        Returns a list of subdiagrams with the following fields:
+
+        ========  =============================================================
+        Field     Description
+        ========  =============================================================
+        *patch*   Sankey outline (a `~matplotlib.patches.PathPatch`).
+        *flows*   Flow values (positive for input, negative for output).
+        *angles*  List of angles of the arrows [deg/90].
+                  For example, if the diagram has not been rotated,
+                  an input to the top side has an angle of 3 (DOWN),
+                  and an output from the top side has an angle of 1 (UP).
+                  If a flow has been skipped (because its magnitude is less
+                  than *tolerance*), then its angle will be *None*.
+        *tips*    (N, 2)-array of the (x, y) positions of the tips (or "dips")
+                  of the flow paths.
+                  If the magnitude of a flow is less the *tolerance* of this
+                  `Sankey` instance, the flow is skipped and its tip will be at
+                  the center of the diagram.
+        *text*    `.Text` instance for the diagram label.
+        *texts*   List of `.Text` instances for the flow labels.
+        ========  =============================================================
+
+        See Also
+        --------
+        Sankey.add
         """
         self.ax.axis([self.extent[0] - self.margin,
                       self.extent[1] + self.margin,
diff --git a/lib/matplotlib/sankey.pyi b/lib/matplotlib/sankey.pyi
new file mode 100644
index 000000000000..33565b998a9c
--- /dev/null
+++ b/lib/matplotlib/sankey.pyi
@@ -0,0 +1,61 @@
+from matplotlib.axes import Axes
+
+from collections.abc import Callable, Iterable
+from typing import Any
+from typing_extensions import Self  # < Py 3.11
+
+import numpy as np
+
+__license__: str
+__credits__: list[str]
+__author__: str
+__version__: str
+
+RIGHT: int
+UP: int
+DOWN: int
+
+# TODO typing units
+class Sankey:
+    diagrams: list[Any]
+    ax: Axes
+    unit: Any
+    format: str | Callable[[float], str]
+    scale: float
+    gap: float
+    radius: float
+    shoulder: float
+    offset: float
+    margin: float
+    pitch: float
+    tolerance: float
+    extent: np.ndarray
+    def __init__(
+        self,
+        ax: Axes | None = ...,
+        scale: float = ...,
+        unit: Any = ...,
+        format: str | Callable[[float], str] = ...,
+        gap: float = ...,
+        radius: float = ...,
+        shoulder: float = ...,
+        offset: float = ...,
+        head_angle: float = ...,
+        margin: float = ...,
+        tolerance: float = ...,
+        **kwargs
+    ) -> None: ...
+    def add(
+        self,
+        patchlabel: str = ...,
+        flows: Iterable[float] | None = ...,
+        orientations: Iterable[int] | None = ...,
+        labels: str | Iterable[str | None] = ...,
+        trunklength: float = ...,
+        pathlengths: float | Iterable[float] = ...,
+        prior: int | None = ...,
+        connect: tuple[int, int] = ...,
+        rotation: float = ...,
+        **kwargs
+    ) -> Self: ...
+    def finish(self) -> list[Any]: ...
diff --git a/lib/matplotlib/scale.py b/lib/matplotlib/scale.py
index 8f771d90f368..44fbe5209c4d 100644
--- a/lib/matplotlib/scale.py
+++ b/lib/matplotlib/scale.py
@@ -1,57 +1,104 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+"""
+Scales define the distribution of data values on an axis, e.g. a log scaling.
 
-import six
+The mapping is implemented through `.Transform` subclasses.
+
+The following scales are built-in:
+
+.. _builtin_scales:
+
+============= ===================== ================================ =================================
+Name          Class                 Transform                        Inverted transform
+============= ===================== ================================ =================================
+"asinh"       `AsinhScale`          `AsinhTransform`                 `InvertedAsinhTransform`
+"function"    `FuncScale`           `FuncTransform`                  `FuncTransform`
+"functionlog" `FuncScaleLog`        `FuncTransform` + `LogTransform` `InvertedLogTransform` + `FuncTransform`
+"linear"      `LinearScale`         `.IdentityTransform`             `.IdentityTransform`
+"log"         `LogScale`            `LogTransform`                   `InvertedLogTransform`
+"logit"       `LogitScale`          `LogitTransform`                 `LogisticTransform`
+"symlog"      `SymmetricalLogScale` `SymmetricalLogTransform`        `InvertedSymmetricalLogTransform`
+============= ===================== ================================ =================================
+
+A user will often only use the scale name, e.g. when setting the scale through
+`~.Axes.set_xscale`: ``ax.set_xscale("log")``.
+
+See also the :ref:`scales examples <sphx_glr_gallery_scales>` in the documentation.
+
+Custom scaling can be achieved through `FuncScale`, or by creating your own
+`ScaleBase` subclass and corresponding transforms (see :doc:`/gallery/scales/custom_scale`).
+Third parties can register their scales by name through `register_scale`.
+"""  # noqa: E501
+
+import inspect
+import textwrap
 
 import numpy as np
-from numpy import ma
 
-from matplotlib.cbook import dedent
-from matplotlib.ticker import (NullFormatter, ScalarFormatter,
-                               LogFormatterMathtext)
-from matplotlib.ticker import (NullLocator, LogLocator, AutoLocator,
-                               SymmetricalLogLocator)
+import matplotlib as mpl
+from matplotlib import _api, _docstring
+from matplotlib.ticker import (
+    NullFormatter, ScalarFormatter, LogFormatterSciNotation, LogitFormatter,
+    NullLocator, LogLocator, AutoLocator, AutoMinorLocator,
+    SymmetricalLogLocator, AsinhLocator, LogitLocator)
 from matplotlib.transforms import Transform, IdentityTransform
-from matplotlib import docstring
 
 
-class ScaleBase(object):
+class ScaleBase:
     """
     The base class for all scales.
 
     Scales are separable transformations, working on a single dimension.
 
-    Any subclasses will want to override:
+    Subclasses should override
+
+    :attr:`!name`
+        The scale's name.
+    :meth:`get_transform`
+        A method returning a `.Transform`, which converts data coordinates to
+        scaled coordinates.  This transform should be invertible, so that e.g.
+        mouse positions can be converted back to data coordinates.
+    :meth:`set_default_locators_and_formatters`
+        A method that sets default locators and formatters for an `~.axis.Axis`
+        that uses this scale.
+    :meth:`limit_range_for_scale`
+        An optional method that "fixes" the axis range to acceptable values,
+        e.g. restricting log-scaled axes to positive values.
+    """
 
-      - :attr:`name`
-      - :meth:`get_transform`
+    def __init__(self, axis):
+        r"""
+        Construct a new scale.
+
+        Notes
+        -----
+        The following note is for scale implementers.
+
+        For back-compatibility reasons, scales take an `~matplotlib.axis.Axis`
+        object as first argument.  However, this argument should not
+        be used: a single scale object should be usable by multiple
+        `~matplotlib.axis.Axis`\es at the same time.
+        """
 
-    And optionally:
-      - :meth:`set_default_locators_and_formatters`
-      - :meth:`limit_range_for_scale`
-    """
     def get_transform(self):
         """
-        Return the :class:`~matplotlib.transforms.Transform` object
-        associated with this scale.
+        Return the `.Transform` object associated with this scale.
         """
         raise NotImplementedError()
 
     def set_default_locators_and_formatters(self, axis):
         """
-        Set the :class:`~matplotlib.ticker.Locator` and
-        :class:`~matplotlib.ticker.Formatter` objects on the given
-        axis to match this scale.
+        Set the locators and formatters of *axis* to instances suitable for
+        this scale.
         """
         raise NotImplementedError()
 
     def limit_range_for_scale(self, vmin, vmax, minpos):
         """
-        Returns the range *vmin*, *vmax*, possibly limited to the
-        domain supported by this scale.
+        Return the range *vmin*, *vmax*, restricted to the
+        domain supported by this scale (if any).
 
         *minpos* should be the minimum positive value in the data.
-         This is used by log scales to determine a minimum value.
+        This is used by log scales to determine a minimum value.
         """
         return vmin, vmax
 
@@ -63,175 +110,164 @@ class LinearScale(ScaleBase):
 
     name = 'linear'
 
-    def __init__(self, axis, **kwargs):
-        pass
+    def __init__(self, axis):
+        # This method is present only to prevent inheritance of the base class'
+        # constructor docstring, which would otherwise end up interpolated into
+        # the docstring of Axis.set_scale.
+        """
+        """  # noqa: D419
 
     def set_default_locators_and_formatters(self, axis):
-        """
-        Set the locators and formatters to reasonable defaults for
-        linear scaling.
-        """
+        # docstring inherited
         axis.set_major_locator(AutoLocator())
         axis.set_major_formatter(ScalarFormatter())
-        axis.set_minor_locator(NullLocator())
         axis.set_minor_formatter(NullFormatter())
+        # update the minor locator for x and y axis based on rcParams
+        if (axis.axis_name == 'x' and mpl.rcParams['xtick.minor.visible'] or
+                axis.axis_name == 'y' and mpl.rcParams['ytick.minor.visible']):
+            axis.set_minor_locator(AutoMinorLocator())
+        else:
+            axis.set_minor_locator(NullLocator())
 
     def get_transform(self):
         """
-        The transform for linear scaling is just the
-        :class:`~matplotlib.transforms.IdentityTransform`.
+        Return the transform for linear scaling, which is just the
+        `~matplotlib.transforms.IdentityTransform`.
         """
         return IdentityTransform()
 
 
-def _mask_non_positives(a):
+class FuncTransform(Transform):
     """
-    Return a Numpy masked array where all non-positive values are
-    masked.  If there are no non-positive values, the original array
-    is returned.
+    A simple transform that takes and arbitrary function for the
+    forward and inverse transform.
     """
-    mask = a <= 0.0
-    if mask.any():
-        return ma.MaskedArray(a, mask=mask)
-    return a
-
 
-def _clip_non_positives(a):
-    a[a <= 0.0] = 1e-300
-    return a
+    input_dims = output_dims = 1
 
+    def __init__(self, forward, inverse):
+        """
+        Parameters
+        ----------
+        forward : callable
+            The forward function for the transform.  This function must have
+            an inverse and, for best behavior, be monotonic.
+            It must have the signature::
 
-class LogTransformBase(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
+               def forward(values: array-like) -> array-like
 
-    def __init__(self, nonpos):
-        Transform.__init__(self)
-        if nonpos == 'mask':
-            self._handle_nonpos = _mask_non_positives
+        inverse : callable
+            The inverse of the forward function.  Signature as ``forward``.
+        """
+        super().__init__()
+        if callable(forward) and callable(inverse):
+            self._forward = forward
+            self._inverse = inverse
         else:
-            self._handle_nonpos = _clip_non_positives
+            raise ValueError('arguments to FuncTransform must be functions')
 
-
-class Log10Transform(LogTransformBase):
-    base = 10.0
-
-    def transform_non_affine(self, a):
-        a = self._handle_nonpos(a * 10.0)
-        if isinstance(a, ma.MaskedArray):
-            return ma.log10(a)
-        return np.log10(a)
-
-    def inverted(self):
-        return InvertedLog10Transform()
-
-
-class InvertedLog10Transform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
-    base = 10.0
-
-    def transform_non_affine(self, a):
-        return ma.power(10.0, a) / 10.0
+    def transform_non_affine(self, values):
+        return self._forward(values)
 
     def inverted(self):
-        return Log10Transform()
-
+        return FuncTransform(self._inverse, self._forward)
 
-class Log2Transform(LogTransformBase):
-    base = 2.0
 
-    def transform_non_affine(self, a):
-        a = self._handle_nonpos(a * 2.0)
-        if isinstance(a, ma.MaskedArray):
-            return ma.log(a) / np.log(2)
-        return np.log2(a)
-
-    def inverted(self):
-        return InvertedLog2Transform()
-
-
-class InvertedLog2Transform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
-    base = 2.0
-
-    def transform_non_affine(self, a):
-        return ma.power(2.0, a) / 2.0
-
-    def inverted(self):
-        return Log2Transform()
-
-
-class NaturalLogTransform(LogTransformBase):
-    base = np.e
+class FuncScale(ScaleBase):
+    """
+    Provide an arbitrary scale with user-supplied function for the axis.
+    """
 
-    def transform_non_affine(self, a):
-        a = self._handle_nonpos(a * np.e)
-        if isinstance(a, ma.MaskedArray):
-            return ma.log(a)
-        return np.log(a)
+    name = 'function'
 
-    def inverted(self):
-        return InvertedNaturalLogTransform()
+    def __init__(self, axis, functions):
+        """
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`
+            The axis for the scale.
+        functions : (callable, callable)
+            two-tuple of the forward and inverse functions for the scale.
+            The forward function must be monotonic.
 
+            Both functions must have the signature::
 
-class InvertedNaturalLogTransform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
-    base = np.e
+               def forward(values: array-like) -> array-like
+        """
+        forward, inverse = functions
+        transform = FuncTransform(forward, inverse)
+        self._transform = transform
 
-    def transform_non_affine(self, a):
-        return ma.power(np.e, a) / np.e
+    def get_transform(self):
+        """Return the `.FuncTransform` associated with this scale."""
+        return self._transform
 
-    def inverted(self):
-        return NaturalLogTransform()
+    def set_default_locators_and_formatters(self, axis):
+        # docstring inherited
+        axis.set_major_locator(AutoLocator())
+        axis.set_major_formatter(ScalarFormatter())
+        axis.set_minor_formatter(NullFormatter())
+        # update the minor locator for x and y axis based on rcParams
+        if (axis.axis_name == 'x' and mpl.rcParams['xtick.minor.visible'] or
+                axis.axis_name == 'y' and mpl.rcParams['ytick.minor.visible']):
+            axis.set_minor_locator(AutoMinorLocator())
+        else:
+            axis.set_minor_locator(NullLocator())
 
 
 class LogTransform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
+    input_dims = output_dims = 1
 
-    def __init__(self, base, nonpos):
-        Transform.__init__(self)
+    def __init__(self, base, nonpositive='clip'):
+        super().__init__()
+        if base <= 0 or base == 1:
+            raise ValueError('The log base cannot be <= 0 or == 1')
         self.base = base
-        if nonpos == 'mask':
-            self._handle_nonpos = _mask_non_positives
-        else:
-            self._handle_nonpos = _clip_non_positives
-
-    def transform_non_affine(self, a):
-        a = self._handle_nonpos(a * self.base)
-        if isinstance(a, ma.MaskedArray):
-            return ma.log(a) / np.log(self.base)
-        return np.log(a) / np.log(self.base)
+        self._clip = _api.check_getitem(
+            {"clip": True, "mask": False}, nonpositive=nonpositive)
+
+    def __str__(self):
+        return "{}(base={}, nonpositive={!r})".format(
+            type(self).__name__, self.base, "clip" if self._clip else "mask")
+
+    def transform_non_affine(self, values):
+        # Ignore invalid values due to nans being passed to the transform.
+        with np.errstate(divide="ignore", invalid="ignore"):
+            log = {np.e: np.log, 2: np.log2, 10: np.log10}.get(self.base)
+            if log:  # If possible, do everything in a single call to NumPy.
+                out = log(values)
+            else:
+                out = np.log(values)
+                out /= np.log(self.base)
+            if self._clip:
+                # SVG spec says that conforming viewers must support values up
+                # to 3.4e38 (C float); however experiments suggest that
+                # Inkscape (which uses cairo for rendering) runs into cairo's
+                # 24-bit limit (which is apparently shared by Agg).
+                # Ghostscript (used for pdf rendering appears to overflow even
+                # earlier, with the max value around 2 ** 15 for the tests to
+                # pass. On the other hand, in practice, we want to clip beyond
+                #     np.log10(np.nextafter(0, 1)) ~ -323
+                # so 1000 seems safe.
+                out[values <= 0] = -1000
+        return out
 
     def inverted(self):
         return InvertedLogTransform(self.base)
 
 
 class InvertedLogTransform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
+    input_dims = output_dims = 1
 
     def __init__(self, base):
-        Transform.__init__(self)
+        super().__init__()
         self.base = base
 
-    def transform_non_affine(self, a):
-        return ma.power(self.base, a) / self.base
+    def __str__(self):
+        return f"{type(self).__name__}(base={self.base})"
+
+    def transform_non_affine(self, values):
+        return np.power(self.base, values)
 
     def inverted(self):
         return LogTransform(self.base)
@@ -239,124 +275,117 @@ def inverted(self):
 
 class LogScale(ScaleBase):
     """
-    A standard logarithmic scale.  Care is taken so non-positive
-    values are not plotted.
-
-    For computational efficiency (to push as much as possible to Numpy
-    C code in the common cases), this scale provides different
-    transforms depending on the base of the logarithm:
-
-       - base 10 (:class:`Log10Transform`)
-       - base 2 (:class:`Log2Transform`)
-       - base e (:class:`NaturalLogTransform`)
-       - arbitrary base (:class:`LogTransform`)
+    A standard logarithmic scale.  Care is taken to only plot positive values.
     """
     name = 'log'
 
-    # compatibility shim
-    LogTransformBase = LogTransformBase
-    Log10Transform = Log10Transform
-    InvertedLog10Transform = InvertedLog10Transform
-    Log2Transform = Log2Transform
-    InvertedLog2Transform = InvertedLog2Transform
-    NaturalLogTransform = NaturalLogTransform
-    InvertedNaturalLogTransform = InvertedNaturalLogTransform
-    LogTransform = LogTransform
-    InvertedLogTransform = InvertedLogTransform
-
-    def __init__(self, axis, **kwargs):
+    def __init__(self, axis, *, base=10, subs=None, nonpositive="clip"):
         """
-        *basex*/*basey*:
-           The base of the logarithm
-
-        *nonposx*/*nonposy*: ['mask' | 'clip' ]
-          non-positive values in *x* or *y* can be masked as
-          invalid, or clipped to a very small positive number
-
-        *subsx*/*subsy*:
-           Where to place the subticks between each major tick.
-           Should be a sequence of integers.  For example, in a log10
-           scale: ``[2, 3, 4, 5, 6, 7, 8, 9]``
-
-           will place 8 logarithmically spaced minor ticks between
-           each major tick.
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`
+            The axis for the scale.
+        base : float, default: 10
+            The base of the logarithm.
+        nonpositive : {'clip', 'mask'}, default: 'clip'
+            Determines the behavior for non-positive values. They can either
+            be masked as invalid, or clipped to a very small positive number.
+        subs : sequence of int, default: None
+            Where to place the subticks between each major tick.  For example,
+            in a log10 scale, ``[2, 3, 4, 5, 6, 7, 8, 9]`` will place 8
+            logarithmically spaced minor ticks between each major tick.
         """
-        if axis.axis_name == 'x':
-            base = kwargs.pop('basex', 10.0)
-            subs = kwargs.pop('subsx', None)
-            nonpos = kwargs.pop('nonposx', 'mask')
-        else:
-            base = kwargs.pop('basey', 10.0)
-            subs = kwargs.pop('subsy', None)
-            nonpos = kwargs.pop('nonposy', 'mask')
-
-        if nonpos not in ['mask', 'clip']:
-            raise ValueError("nonposx, nonposy kwarg must be 'mask' or 'clip'")
-
-        if base == 10.0:
-            self._transform = self.Log10Transform(nonpos)
-        elif base == 2.0:
-            self._transform = self.Log2Transform(nonpos)
-        elif base == np.e:
-            self._transform = self.NaturalLogTransform(nonpos)
-        else:
-            self._transform = self.LogTransform(base, nonpos)
-
-        self.base = base
+        self._transform = LogTransform(base, nonpositive)
         self.subs = subs
 
+    base = property(lambda self: self._transform.base)
+
     def set_default_locators_and_formatters(self, axis):
-        """
-        Set the locators and formatters to specialized versions for
-        log scaling.
-        """
+        # docstring inherited
         axis.set_major_locator(LogLocator(self.base))
-        axis.set_major_formatter(LogFormatterMathtext(self.base))
+        axis.set_major_formatter(LogFormatterSciNotation(self.base))
         axis.set_minor_locator(LogLocator(self.base, self.subs))
-        axis.set_minor_formatter(NullFormatter())
+        axis.set_minor_formatter(
+            LogFormatterSciNotation(self.base,
+                                    labelOnlyBase=(self.subs is not None)))
 
     def get_transform(self):
-        """
-        Return a :class:`~matplotlib.transforms.Transform` instance
-        appropriate for the given logarithm base.
-        """
+        """Return the `.LogTransform` associated with this scale."""
         return self._transform
 
     def limit_range_for_scale(self, vmin, vmax, minpos):
+        """Limit the domain to positive values."""
+        if not np.isfinite(minpos):
+            minpos = 1e-300  # Should rarely (if ever) have a visible effect.
+
+        return (minpos if vmin <= 0 else vmin,
+                minpos if vmax <= 0 else vmax)
+
+
+class FuncScaleLog(LogScale):
+    """
+    Provide an arbitrary scale with user-supplied function for the axis and
+    then put on a logarithmic axes.
+    """
+
+    name = 'functionlog'
+
+    def __init__(self, axis, functions, base=10):
         """
-        Limit the domain to positive values.
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`
+            The axis for the scale.
+        functions : (callable, callable)
+            two-tuple of the forward and inverse functions for the scale.
+            The forward function must be monotonic.
+
+            Both functions must have the signature::
+
+                def forward(values: array-like) -> array-like
+
+        base : float, default: 10
+            Logarithmic base of the scale.
         """
-        return (vmin <= 0.0 and minpos or vmin,
-                vmax <= 0.0 and minpos or vmax)
+        forward, inverse = functions
+        self.subs = None
+        self._transform = FuncTransform(forward, inverse) + LogTransform(base)
+
+    @property
+    def base(self):
+        return self._transform._b.base  # Base of the LogTransform.
+
+    def get_transform(self):
+        """Return the `.Transform` associated with this scale."""
+        return self._transform
 
 
 class SymmetricalLogTransform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
+    input_dims = output_dims = 1
 
     def __init__(self, base, linthresh, linscale):
-        Transform.__init__(self)
+        super().__init__()
+        if base <= 1.0:
+            raise ValueError("'base' must be larger than 1")
+        if linthresh <= 0.0:
+            raise ValueError("'linthresh' must be positive")
+        if linscale <= 0.0:
+            raise ValueError("'linscale' must be positive")
         self.base = base
         self.linthresh = linthresh
         self.linscale = linscale
         self._linscale_adj = (linscale / (1.0 - self.base ** -1))
         self._log_base = np.log(base)
 
-    def transform_non_affine(self, a):
-        sign = np.sign(a)
-        masked = ma.masked_inside(a,
-                                  -self.linthresh,
-                                  self.linthresh,
-                                  copy=False)
-        log = sign * self.linthresh * (
-            self._linscale_adj +
-            ma.log(np.abs(masked) / self.linthresh) / self._log_base)
-        if masked.mask.any():
-            return ma.where(masked.mask, a * self._linscale_adj, log)
-        else:
-            return log
+    def transform_non_affine(self, values):
+        abs_a = np.abs(values)
+        with np.errstate(divide="ignore", invalid="ignore"):
+            out = np.sign(values) * self.linthresh * (
+                self._linscale_adj +
+                np.log(abs_a / self.linthresh) / self._log_base)
+            inside = abs_a <= self.linthresh
+        out[inside] = values[inside] * self._linscale_adj
+        return out
 
     def inverted(self):
         return InvertedSymmetricalLogTransform(self.base, self.linthresh,
@@ -364,13 +393,10 @@ def inverted(self):
 
 
 class InvertedSymmetricalLogTransform(Transform):
-    input_dims = 1
-    output_dims = 1
-    is_separable = True
-    has_inverse = True
+    input_dims = output_dims = 1
 
     def __init__(self, base, linthresh, linscale):
-        Transform.__init__(self)
+        super().__init__()
         symlog = SymmetricalLogTransform(base, linthresh, linscale)
         self.base = base
         self.linthresh = linthresh
@@ -378,17 +404,15 @@ def __init__(self, base, linthresh, linscale):
         self.linscale = linscale
         self._linscale_adj = (linscale / (1.0 - self.base ** -1))
 
-    def transform_non_affine(self, a):
-        sign = np.sign(a)
-        masked = ma.masked_inside(a, -self.invlinthresh,
-                                  self.invlinthresh, copy=False)
-        exp = sign * self.linthresh * (
-            ma.power(self.base, (sign * (masked / self.linthresh))
-            - self._linscale_adj))
-        if masked.mask.any():
-            return ma.where(masked.mask, a / self._linscale_adj, exp)
-        else:
-            return exp
+    def transform_non_affine(self, values):
+        abs_a = np.abs(values)
+        with np.errstate(divide="ignore", invalid="ignore"):
+            out = np.sign(values) * self.linthresh * (
+                np.power(self.base,
+                         abs_a / self.linthresh - self._linscale_adj))
+            inside = abs_a <= self.invlinthresh
+        out[inside] = values[inside] / self._linscale_adj
+        return out
 
     def inverted(self):
         return SymmetricalLogTransform(self.base,
@@ -404,138 +428,340 @@ class SymmetricalLogScale(ScaleBase):
     need to have a range around zero that is linear.  The parameter
     *linthresh* allows the user to specify the size of this range
     (-*linthresh*, *linthresh*).
+
+    See :doc:`/gallery/scales/symlog_demo` for a detailed description.
+
+    Parameters
+    ----------
+    base : float, default: 10
+        The base of the logarithm.
+
+    linthresh : float, default: 2
+        Defines the range ``(-x, x)``, within which the plot is linear.
+        This avoids having the plot go to infinity around zero.
+
+    subs : sequence of int
+        Where to place the subticks between each major tick.
+        For example, in a log10 scale: ``[2, 3, 4, 5, 6, 7, 8, 9]`` will place
+        8 logarithmically spaced minor ticks between each major tick.
+
+    linscale : float, optional
+        This allows the linear range ``(-linthresh, linthresh)`` to be
+        stretched relative to the logarithmic range. Its value is the number of
+        decades to use for each half of the linear range. For example, when
+        *linscale* == 1.0 (the default), the space used for the positive and
+        negative halves of the linear range will be equal to one decade in
+        the logarithmic range.
     """
     name = 'symlog'
-    # compatibility shim
-    SymmetricalLogTransform = SymmetricalLogTransform
-    InvertedSymmetricalLogTransform = InvertedSymmetricalLogTransform
 
-    def __init__(self, axis, **kwargs):
-        """
-        *basex*/*basey*:
-           The base of the logarithm
-
-        *linthreshx*/*linthreshy*:
-          The range (-*x*, *x*) within which the plot is linear (to
-          avoid having the plot go to infinity around zero).
-
-        *subsx*/*subsy*:
-           Where to place the subticks between each major tick.
-           Should be a sequence of integers.  For example, in a log10
-           scale: ``[2, 3, 4, 5, 6, 7, 8, 9]``
-
-           will place 8 logarithmically spaced minor ticks between
-           each major tick.
-
-        *linscalex*/*linscaley*:
-           This allows the linear range (-*linthresh* to *linthresh*)
-           to be stretched relative to the logarithmic range.  Its
-           value is the number of decades to use for each half of the
-           linear range.  For example, when *linscale* == 1.0 (the
-           default), the space used for the positive and negative
-           halves of the linear range will be equal to one decade in
-           the logarithmic range.
-        """
-        if axis.axis_name == 'x':
-            base = kwargs.pop('basex', 10.0)
-            linthresh = kwargs.pop('linthreshx', 2.0)
-            subs = kwargs.pop('subsx', None)
-            linscale = kwargs.pop('linscalex', 1.0)
-        else:
-            base = kwargs.pop('basey', 10.0)
-            linthresh = kwargs.pop('linthreshy', 2.0)
-            subs = kwargs.pop('subsy', None)
-            linscale = kwargs.pop('linscaley', 1.0)
-
-        assert base > 1.0
-        assert linthresh > 0.0
-        assert linscale > 0.0
-
-        self._transform = self.SymmetricalLogTransform(base,
-                                                       linthresh,
-                                                       linscale)
-
-        self.base = base
-        self.linthresh = linthresh
-        self.linscale = linscale
+    def __init__(self, axis, *, base=10, linthresh=2, subs=None, linscale=1):
+        self._transform = SymmetricalLogTransform(base, linthresh, linscale)
         self.subs = subs
 
+    base = property(lambda self: self._transform.base)
+    linthresh = property(lambda self: self._transform.linthresh)
+    linscale = property(lambda self: self._transform.linscale)
+
     def set_default_locators_and_formatters(self, axis):
-        """
-        Set the locators and formatters to specialized versions for
-        symmetrical log scaling.
-        """
+        # docstring inherited
         axis.set_major_locator(SymmetricalLogLocator(self.get_transform()))
-        axis.set_major_formatter(LogFormatterMathtext(self.base))
+        axis.set_major_formatter(LogFormatterSciNotation(self.base))
         axis.set_minor_locator(SymmetricalLogLocator(self.get_transform(),
                                                      self.subs))
         axis.set_minor_formatter(NullFormatter())
 
     def get_transform(self):
+        """Return the `.SymmetricalLogTransform` associated with this scale."""
+        return self._transform
+
+
+class AsinhTransform(Transform):
+    """Inverse hyperbolic-sine transformation used by `.AsinhScale`"""
+    input_dims = output_dims = 1
+
+    def __init__(self, linear_width):
+        super().__init__()
+        if linear_width <= 0.0:
+            raise ValueError("Scale parameter 'linear_width' " +
+                             "must be strictly positive")
+        self.linear_width = linear_width
+
+    def transform_non_affine(self, values):
+        return self.linear_width * np.arcsinh(values / self.linear_width)
+
+    def inverted(self):
+        return InvertedAsinhTransform(self.linear_width)
+
+
+class InvertedAsinhTransform(Transform):
+    """Hyperbolic sine transformation used by `.AsinhScale`"""
+    input_dims = output_dims = 1
+
+    def __init__(self, linear_width):
+        super().__init__()
+        self.linear_width = linear_width
+
+    def transform_non_affine(self, values):
+        return self.linear_width * np.sinh(values / self.linear_width)
+
+    def inverted(self):
+        return AsinhTransform(self.linear_width)
+
+
+class AsinhScale(ScaleBase):
+    """
+    A quasi-logarithmic scale based on the inverse hyperbolic sine (asinh)
+
+    For values close to zero, this is essentially a linear scale,
+    but for large magnitude values (either positive or negative)
+    it is asymptotically logarithmic. The transition between these
+    linear and logarithmic regimes is smooth, and has no discontinuities
+    in the function gradient in contrast to
+    the `.SymmetricalLogScale` ("symlog") scale.
+
+    Specifically, the transformation of an axis coordinate :math:`a` is
+    :math:`a \\rightarrow a_0 \\sinh^{-1} (a / a_0)` where :math:`a_0`
+    is the effective width of the linear region of the transformation.
+    In that region, the transformation is
+    :math:`a \\rightarrow a + \\mathcal{O}(a^3)`.
+    For large values of :math:`a` the transformation behaves as
+    :math:`a \\rightarrow a_0 \\, \\mathrm{sgn}(a) \\ln |a| + \\mathcal{O}(1)`.
+
+    .. note::
+
+       This API is provisional and may be revised in the future
+       based on early user feedback.
+    """
+
+    name = 'asinh'
+
+    auto_tick_multipliers = {
+        3: (2, ),
+        4: (2, ),
+        5: (2, ),
+        8: (2, 4),
+        10: (2, 5),
+        16: (2, 4, 8),
+        64: (4, 16),
+        1024: (256, 512)
+    }
+
+    def __init__(self, axis, *, linear_width=1.0,
+                 base=10, subs='auto', **kwargs):
+        """
+        Parameters
+        ----------
+        linear_width : float, default: 1
+            The scale parameter (elsewhere referred to as :math:`a_0`)
+            defining the extent of the quasi-linear region,
+            and the coordinate values beyond which the transformation
+            becomes asymptotically logarithmic.
+        base : int, default: 10
+            The number base used for rounding tick locations
+            on a logarithmic scale. If this is less than one,
+            then rounding is to the nearest integer multiple
+            of powers of ten.
+        subs : sequence of int
+            Multiples of the number base used for minor ticks.
+            If set to 'auto', this will use built-in defaults,
+            e.g. (2, 5) for base=10.
         """
-        Return a :class:`SymmetricalLogTransform` instance.
+        super().__init__(axis)
+        self._transform = AsinhTransform(linear_width)
+        self._base = int(base)
+        if subs == 'auto':
+            self._subs = self.auto_tick_multipliers.get(self._base)
+        else:
+            self._subs = subs
+
+    linear_width = property(lambda self: self._transform.linear_width)
+
+    def get_transform(self):
+        return self._transform
+
+    def set_default_locators_and_formatters(self, axis):
+        axis.set(major_locator=AsinhLocator(self.linear_width,
+                                            base=self._base),
+                 minor_locator=AsinhLocator(self.linear_width,
+                                            base=self._base,
+                                            subs=self._subs),
+                 minor_formatter=NullFormatter())
+        if self._base > 1:
+            axis.set_major_formatter(LogFormatterSciNotation(self._base))
+        else:
+            axis.set_major_formatter('{x:.3g}')
+
+
+class LogitTransform(Transform):
+    input_dims = output_dims = 1
+
+    def __init__(self, nonpositive='mask'):
+        super().__init__()
+        _api.check_in_list(['mask', 'clip'], nonpositive=nonpositive)
+        self._nonpositive = nonpositive
+        self._clip = {"clip": True, "mask": False}[nonpositive]
+
+    def transform_non_affine(self, values):
+        """logit transform (base 10), masked or clipped"""
+        with np.errstate(divide="ignore", invalid="ignore"):
+            out = np.log10(values / (1 - values))
+        if self._clip:  # See LogTransform for choice of clip value.
+            out[values <= 0] = -1000
+            out[1 <= values] = 1000
+        return out
+
+    def inverted(self):
+        return LogisticTransform(self._nonpositive)
+
+    def __str__(self):
+        return f"{type(self).__name__}({self._nonpositive!r})"
+
+
+class LogisticTransform(Transform):
+    input_dims = output_dims = 1
+
+    def __init__(self, nonpositive='mask'):
+        super().__init__()
+        self._nonpositive = nonpositive
+
+    def transform_non_affine(self, values):
+        """logistic transform (base 10)"""
+        return 1.0 / (1 + 10**(-values))
+
+    def inverted(self):
+        return LogitTransform(self._nonpositive)
+
+    def __str__(self):
+        return f"{type(self).__name__}({self._nonpositive!r})"
+
+
+class LogitScale(ScaleBase):
+    """
+    Logit scale for data between zero and one, both excluded.
+
+    This scale is similar to a log scale close to zero and to one, and almost
+    linear around 0.5. It maps the interval ]0, 1[ onto ]-infty, +infty[.
+    """
+    name = 'logit'
+
+    def __init__(self, axis, nonpositive='mask', *,
+                 one_half=r"\frac{1}{2}", use_overline=False):
+        r"""
+        Parameters
+        ----------
+        axis : `~matplotlib.axis.Axis`
+            Currently unused.
+        nonpositive : {'mask', 'clip'}
+            Determines the behavior for values beyond the open interval ]0, 1[.
+            They can either be masked as invalid, or clipped to a number very
+            close to 0 or 1.
+        use_overline : bool, default: False
+            Indicate the usage of survival notation (\overline{x}) in place of
+            standard notation (1-x) for probability close to one.
+        one_half : str, default: r"\frac{1}{2}"
+            The string used for ticks formatter to represent 1/2.
         """
+        self._transform = LogitTransform(nonpositive)
+        self._use_overline = use_overline
+        self._one_half = one_half
+
+    def get_transform(self):
+        """Return the `.LogitTransform` associated with this scale."""
         return self._transform
 
+    def set_default_locators_and_formatters(self, axis):
+        # docstring inherited
+        # ..., 0.01, 0.1, 0.5, 0.9, 0.99, ...
+        axis.set_major_locator(LogitLocator())
+        axis.set_major_formatter(
+            LogitFormatter(
+                one_half=self._one_half,
+                use_overline=self._use_overline
+            )
+        )
+        axis.set_minor_locator(LogitLocator(minor=True))
+        axis.set_minor_formatter(
+            LogitFormatter(
+                minor=True,
+                one_half=self._one_half,
+                use_overline=self._use_overline
+            )
+        )
+
+    def limit_range_for_scale(self, vmin, vmax, minpos):
+        """
+        Limit the domain to values between 0 and 1 (excluded).
+        """
+        if not np.isfinite(minpos):
+            minpos = 1e-7  # Should rarely (if ever) have a visible effect.
+        return (minpos if vmin <= 0 else vmin,
+                1 - minpos if vmax >= 1 else vmax)
+
 
 _scale_mapping = {
     'linear': LinearScale,
     'log':    LogScale,
-    'symlog': SymmetricalLogScale
+    'symlog': SymmetricalLogScale,
+    'asinh':  AsinhScale,
+    'logit':  LogitScale,
+    'function': FuncScale,
+    'functionlog': FuncScaleLog,
     }
 
 
 def get_scale_names():
-    names = list(six.iterkeys(_scale_mapping))
-    names.sort()
-    return names
+    """Return the names of the available scales."""
+    return sorted(_scale_mapping)
 
 
 def scale_factory(scale, axis, **kwargs):
     """
     Return a scale class by name.
 
-    ACCEPTS: [ %(names)s ]
+    Parameters
+    ----------
+    scale : {%(names)s}
+    axis : `~matplotlib.axis.Axis`
     """
-    scale = scale.lower()
-    if scale is None:
-        scale = 'linear'
+    scale_cls = _api.check_getitem(_scale_mapping, scale=scale)
+    return scale_cls(axis, **kwargs)
 
-    if scale not in _scale_mapping:
-        raise ValueError("Unknown scale type '%s'" % scale)
 
-    return _scale_mapping[scale](axis, **kwargs)
-scale_factory.__doc__ = dedent(scale_factory.__doc__) % \
-    {'names': " | ".join(get_scale_names())}
+if scale_factory.__doc__:
+    scale_factory.__doc__ = scale_factory.__doc__ % {
+        "names": ", ".join(map(repr, get_scale_names()))}
 
 
 def register_scale(scale_class):
     """
     Register a new kind of scale.
 
-    *scale_class* must be a subclass of :class:`ScaleBase`.
+    Parameters
+    ----------
+    scale_class : subclass of `ScaleBase`
+        The scale to register.
     """
     _scale_mapping[scale_class.name] = scale_class
 
 
-def get_scale_docs():
+def _get_scale_docs():
     """
     Helper function for generating docstrings related to scales.
     """
     docs = []
-    for name in get_scale_names():
-        scale_class = _scale_mapping[name]
-        docs.append("    '%s'" % name)
-        docs.append("")
-        class_docs = dedent(scale_class.__init__.__doc__)
-        class_docs = "".join(["        %s\n" %
-                              x for x in class_docs.split("\n")])
-        docs.append(class_docs)
-        docs.append("")
+    for name, scale_class in _scale_mapping.items():
+        docstring = inspect.getdoc(scale_class.__init__) or ""
+        docs.extend([
+            f"    {name!r}",
+            "",
+            textwrap.indent(docstring, " " * 8),
+            ""
+        ])
     return "\n".join(docs)
 
 
-docstring.interpd.update(
-    scale=' | '.join([repr(x) for x in get_scale_names()]),
-    scale_docs=get_scale_docs().rstrip(),
+_docstring.interpd.register(
+    scale_type='{%s}' % ', '.join([repr(x) for x in get_scale_names()]),
+    scale_docs=_get_scale_docs().rstrip(),
     )
diff --git a/lib/matplotlib/scale.pyi b/lib/matplotlib/scale.pyi
new file mode 100644
index 000000000000..7fec8e68cc5a
--- /dev/null
+++ b/lib/matplotlib/scale.pyi
@@ -0,0 +1,178 @@
+from matplotlib.axis import Axis
+from matplotlib.transforms import Transform
+
+from collections.abc import Callable, Iterable
+from typing import Literal
+from numpy.typing import ArrayLike
+
+class ScaleBase:
+    def __init__(self, axis: Axis | None) -> None: ...
+    def get_transform(self) -> Transform: ...
+    def set_default_locators_and_formatters(self, axis: Axis) -> None: ...
+    def limit_range_for_scale(
+        self, vmin: float, vmax: float, minpos: float
+    ) -> tuple[float, float]: ...
+
+class LinearScale(ScaleBase):
+    name: str
+
+class FuncTransform(Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(
+        self,
+        forward: Callable[[ArrayLike], ArrayLike],
+        inverse: Callable[[ArrayLike], ArrayLike],
+    ) -> None: ...
+    def inverted(self) -> FuncTransform: ...
+
+class FuncScale(ScaleBase):
+    name: str
+    def __init__(
+        self,
+        axis: Axis | None,
+        functions: tuple[
+            Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]
+        ],
+    ) -> None: ...
+
+class LogTransform(Transform):
+    input_dims: int
+    output_dims: int
+    base: float
+    def __init__(
+        self, base: float, nonpositive: Literal["clip", "mask"] = ...
+    ) -> None: ...
+    def inverted(self) -> InvertedLogTransform: ...
+
+class InvertedLogTransform(Transform):
+    input_dims: int
+    output_dims: int
+    base: float
+    def __init__(self, base: float) -> None: ...
+    def inverted(self) -> LogTransform: ...
+
+class LogScale(ScaleBase):
+    name: str
+    subs: Iterable[int] | None
+    def __init__(
+        self,
+        axis: Axis | None,
+        *,
+        base: float = ...,
+        subs: Iterable[int] | None = ...,
+        nonpositive: Literal["clip", "mask"] = ...
+    ) -> None: ...
+    @property
+    def base(self) -> float: ...
+    def get_transform(self) -> Transform: ...
+
+class FuncScaleLog(LogScale):
+    def __init__(
+        self,
+        axis: Axis | None,
+        functions: tuple[
+            Callable[[ArrayLike], ArrayLike], Callable[[ArrayLike], ArrayLike]
+        ],
+        base: float = ...,
+    ) -> None: ...
+    @property
+    def base(self) -> float: ...
+    def get_transform(self) -> Transform: ...
+
+class SymmetricalLogTransform(Transform):
+    input_dims: int
+    output_dims: int
+    base: float
+    linthresh: float
+    linscale: float
+    def __init__(self, base: float, linthresh: float, linscale: float) -> None: ...
+    def inverted(self) -> InvertedSymmetricalLogTransform: ...
+
+class InvertedSymmetricalLogTransform(Transform):
+    input_dims: int
+    output_dims: int
+    base: float
+    linthresh: float
+    invlinthresh: float
+    linscale: float
+    def __init__(self, base: float, linthresh: float, linscale: float) -> None: ...
+    def inverted(self) -> SymmetricalLogTransform: ...
+
+class SymmetricalLogScale(ScaleBase):
+    name: str
+    subs: Iterable[int] | None
+    def __init__(
+        self,
+        axis: Axis | None,
+        *,
+        base: float = ...,
+        linthresh: float = ...,
+        subs: Iterable[int] | None = ...,
+        linscale: float = ...
+    ) -> None: ...
+    @property
+    def base(self) -> float: ...
+    @property
+    def linthresh(self) -> float: ...
+    @property
+    def linscale(self) -> float: ...
+    def get_transform(self) -> SymmetricalLogTransform: ...
+
+class AsinhTransform(Transform):
+    input_dims: int
+    output_dims: int
+    linear_width: float
+    def __init__(self, linear_width: float) -> None: ...
+    def inverted(self) -> InvertedAsinhTransform: ...
+
+class InvertedAsinhTransform(Transform):
+    input_dims: int
+    output_dims: int
+    linear_width: float
+    def __init__(self, linear_width: float) -> None: ...
+    def inverted(self) -> AsinhTransform: ...
+
+class AsinhScale(ScaleBase):
+    name: str
+    auto_tick_multipliers: dict[int, tuple[int, ...]]
+    def __init__(
+        self,
+        axis: Axis | None,
+        *,
+        linear_width: float = ...,
+        base: float = ...,
+        subs: Iterable[int] | Literal["auto"] | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def linear_width(self) -> float: ...
+    def get_transform(self) -> AsinhTransform: ...
+
+class LogitTransform(Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(self, nonpositive: Literal["mask", "clip"] = ...) -> None: ...
+    def inverted(self) -> LogisticTransform: ...
+
+class LogisticTransform(Transform):
+    input_dims: int
+    output_dims: int
+    def __init__(self, nonpositive: Literal["mask", "clip"] = ...) -> None: ...
+    def inverted(self) -> LogitTransform: ...
+
+class LogitScale(ScaleBase):
+    name: str
+    def __init__(
+        self,
+        axis: Axis | None,
+        nonpositive: Literal["mask", "clip"] = ...,
+        *,
+        one_half: str = ...,
+        use_overline: bool = ...
+    ) -> None: ...
+    def get_transform(self) -> LogitTransform: ...
+
+def get_scale_names() -> list[str]: ...
+def scale_factory(scale: str, axis: Axis, **kwargs) -> ScaleBase: ...
+def register_scale(scale_class: type[ScaleBase]) -> None: ...
diff --git a/lib/matplotlib/sphinxext/__init__.py b/lib/matplotlib/sphinxext/__init__.py
index 800d82e7ee00..e69de29bb2d1 100644
--- a/lib/matplotlib/sphinxext/__init__.py
+++ b/lib/matplotlib/sphinxext/__init__.py
@@ -1,2 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
diff --git a/lib/matplotlib/sphinxext/figmpl_directive.py b/lib/matplotlib/sphinxext/figmpl_directive.py
new file mode 100644
index 000000000000..7cb9c6c04e8a
--- /dev/null
+++ b/lib/matplotlib/sphinxext/figmpl_directive.py
@@ -0,0 +1,286 @@
+"""
+Add a ``figure-mpl`` directive that is a responsive version of ``figure``.
+
+This implementation is very similar to ``.. figure::``, except it also allows a
+``srcset=`` argument to be passed to the image tag, hence allowing responsive
+resolution images.
+
+There is no particular reason this could not be used standalone, but is meant
+to be used with :doc:`/api/sphinxext_plot_directive_api`.
+
+Note that the directory organization is a bit different than ``.. figure::``.
+See the *FigureMpl* documentation below.
+
+"""
+import os
+from os.path import relpath
+from pathlib import PurePath, Path
+import shutil
+
+from docutils import nodes
+from docutils.parsers.rst import directives
+from docutils.parsers.rst.directives.images import Figure, Image
+from sphinx.errors import ExtensionError
+
+import matplotlib
+
+
+class figmplnode(nodes.General, nodes.Element):
+    pass
+
+
+class FigureMpl(Figure):
+    """
+    Implements a directive to allow an optional hidpi image.
+
+    Meant to be used with the *plot_srcset* configuration option in conf.py,
+    and gets set in the TEMPLATE of plot_directive.py
+
+    e.g.::
+
+        .. figure-mpl:: plot_directive/some_plots-1.png
+            :alt: bar
+            :srcset: plot_directive/some_plots-1.png,
+                     plot_directive/some_plots-1.2x.png 2.00x
+            :class: plot-directive
+
+    The resulting html (at ``some_plots.html``) is::
+
+        <img src="sphx_glr_bar_001_hidpi.png"
+            srcset="_images/some_plot-1.png,
+                    _images/some_plots-1.2x.png 2.00x",
+            alt="bar"
+            class="plot_directive" />
+
+    Note that the handling of subdirectories is different than that used by the sphinx
+    figure directive::
+
+        .. figure-mpl:: plot_directive/nestedpage/index-1.png
+            :alt: bar
+            :srcset: plot_directive/nestedpage/index-1.png
+                     plot_directive/nestedpage/index-1.2x.png 2.00x
+            :class: plot_directive
+
+    The resulting html (at ``nestedpage/index.html``)::
+
+        <img src="../_images/nestedpage-index-1.png"
+            srcset="../_images/nestedpage-index-1.png,
+                    ../_images/_images/nestedpage-index-1.2x.png 2.00x",
+            alt="bar"
+            class="sphx-glr-single-img" />
+
+    where the subdirectory is included in the image name for uniqueness.
+    """
+
+    has_content = False
+    required_arguments = 1
+    optional_arguments = 2
+    final_argument_whitespace = False
+    option_spec = {
+        'alt': directives.unchanged,
+        'height': directives.length_or_unitless,
+        'width': directives.length_or_percentage_or_unitless,
+        'scale': directives.nonnegative_int,
+        'align': Image.align,
+        'class': directives.class_option,
+        'caption': directives.unchanged,
+        'srcset': directives.unchanged,
+    }
+
+    def run(self):
+
+        image_node = figmplnode()
+
+        imagenm = self.arguments[0]
+        image_node['alt'] = self.options.get('alt', '')
+        image_node['align'] = self.options.get('align', None)
+        image_node['class'] = self.options.get('class', None)
+        image_node['width'] = self.options.get('width', None)
+        image_node['height'] = self.options.get('height', None)
+        image_node['scale'] = self.options.get('scale', None)
+        image_node['caption'] = self.options.get('caption', None)
+
+        # we would like uri to be the highest dpi version so that
+        # latex etc will use that.  But for now, lets just make
+        # imagenm... maybe pdf one day?
+
+        image_node['uri'] = imagenm
+        image_node['srcset'] = self.options.get('srcset', None)
+
+        return [image_node]
+
+
+def _parse_srcsetNodes(st):
+    """
+    parse srcset...
+    """
+    entries = st.split(',')
+    srcset = {}
+    for entry in entries:
+        spl = entry.strip().split(' ')
+        if len(spl) == 1:
+            srcset[0] = spl[0]
+        elif len(spl) == 2:
+            mult = spl[1][:-1]
+            srcset[float(mult)] = spl[0]
+        else:
+            raise ExtensionError(f'srcset argument "{entry}" is invalid.')
+    return srcset
+
+
+def _copy_images_figmpl(self, node):
+
+    # these will be the temporary place the plot-directive put the images eg:
+    # ../../../build/html/plot_directive/users/explain/artists/index-1.png
+    if node['srcset']:
+        srcset = _parse_srcsetNodes(node['srcset'])
+    else:
+        srcset = None
+
+    # the rst file's location:  eg /Users/username/matplotlib/doc/users/explain/artists
+    docsource = PurePath(self.document['source']).parent
+
+    # get the relpath relative to root:
+    srctop = self.builder.srcdir
+    rel = relpath(docsource, srctop).replace('.', '').replace(os.sep, '-')
+    if len(rel):
+        rel += '-'
+    # eg: users/explain/artists
+
+    imagedir = PurePath(self.builder.outdir, self.builder.imagedir)
+    # eg: /Users/username/matplotlib/doc/build/html/_images/users/explain/artists
+
+    Path(imagedir).mkdir(parents=True, exist_ok=True)
+
+    # copy all the sources to the imagedir:
+    if srcset:
+        for src in srcset.values():
+            # the entries in srcset are relative to docsource's directory
+            abspath = PurePath(docsource, src)
+            name = rel + abspath.name
+            shutil.copyfile(abspath, imagedir / name)
+    else:
+        abspath = PurePath(docsource, node['uri'])
+        name = rel + abspath.name
+        shutil.copyfile(abspath, imagedir / name)
+
+    return imagedir, srcset, rel
+
+
+def visit_figmpl_html(self, node):
+
+    imagedir, srcset, rel = _copy_images_figmpl(self, node)
+
+    # /doc/examples/subd/plot_1.rst
+    docsource = PurePath(self.document['source'])
+    # /doc/
+    # make sure to add the trailing slash:
+    srctop = PurePath(self.builder.srcdir, '')
+    # examples/subd/plot_1.rst
+    relsource = relpath(docsource, srctop)
+    # /doc/build/html
+    desttop = PurePath(self.builder.outdir, '')
+    # /doc/build/html/examples/subd
+    dest = desttop / relsource
+
+    # ../../_images/ for dirhtml and ../_images/ for html
+    imagerel = PurePath(relpath(imagedir, dest.parent)).as_posix()
+    if self.builder.name == "dirhtml":
+        imagerel = f'..{imagerel}'
+
+    # make uri also be relative...
+    nm = PurePath(node['uri'][1:]).name
+    uri = f'{imagerel}/{rel}{nm}'
+    img_attrs = {'src': uri, 'alt': node['alt']}
+
+    # make srcset str.  Need to change all the prefixes!
+    maxsrc = uri
+    if srcset:
+        maxmult = -1
+        srcsetst = ''
+        for mult, src in srcset.items():
+            nm = PurePath(src[1:]).name
+            # ../../_images/plot_1_2_0x.png
+            path = f'{imagerel}/{rel}{nm}'
+            srcsetst += path
+            if mult == 0:
+                srcsetst += ', '
+            else:
+                srcsetst += f' {mult:1.2f}x, '
+
+            if mult > maxmult:
+                maxmult = mult
+                maxsrc = path
+
+        # trim trailing comma and space...
+        img_attrs['srcset'] = srcsetst[:-2]
+
+    if node['class'] is not None:
+        img_attrs['class'] = ' '.join(node['class'])
+    for style in ['width', 'height', 'scale']:
+        if node[style]:
+            if 'style' not in img_attrs:
+                img_attrs['style'] = f'{style}: {node[style]};'
+            else:
+                img_attrs['style'] += f'{style}: {node[style]};'
+
+    # <figure class="align-default" id="id1">
+    # <a class="reference internal image-reference" href="_images/index-1.2x.png">
+    # <img alt="_images/index-1.2x.png"
+    #  src="_images/index-1.2x.png" style="width: 53%;" />
+    # </a>
+    # <figcaption>
+    # <p><span class="caption-text">Figure caption is here....</span>
+    # <a class="headerlink" href="#id1" title="Permalink to this image">#</a></p>
+    # </figcaption>
+    # </figure>
+    self.body.append(
+        self.starttag(
+            node, 'figure',
+            CLASS=f'align-{node["align"]}' if node['align'] else 'align-center'))
+    self.body.append(
+        self.starttag(node, 'a', CLASS='reference internal image-reference',
+                      href=maxsrc) +
+        self.emptytag(node, 'img', **img_attrs) +
+        '</a>\n')
+    if node['caption']:
+        self.body.append(self.starttag(node, 'figcaption'))
+        self.body.append(self.starttag(node, 'p'))
+        self.body.append(self.starttag(node, 'span', CLASS='caption-text'))
+        self.body.append(node['caption'])
+        self.body.append('</span></p></figcaption>\n')
+    self.body.append('</figure>\n')
+
+
+def visit_figmpl_latex(self, node):
+
+    if node['srcset'] is not None:
+        imagedir, srcset = _copy_images_figmpl(self, node)
+        maxmult = -1
+        # choose the highest res version for latex:
+        maxmult = max(srcset, default=-1)
+        node['uri'] = PurePath(srcset[maxmult]).name
+
+    self.visit_figure(node)
+
+
+def depart_figmpl_html(self, node):
+    pass
+
+
+def depart_figmpl_latex(self, node):
+    self.depart_figure(node)
+
+
+def figurempl_addnode(app):
+    app.add_node(figmplnode,
+                 html=(visit_figmpl_html, depart_figmpl_html),
+                 latex=(visit_figmpl_latex, depart_figmpl_latex))
+
+
+def setup(app):
+    app.add_directive("figure-mpl", FigureMpl)
+    figurempl_addnode(app)
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True,
+                'version': matplotlib.__version__}
+    return metadata
diff --git a/lib/matplotlib/sphinxext/ipython_console_highlighting.py b/lib/matplotlib/sphinxext/ipython_console_highlighting.py
deleted file mode 100644
index 0ba9cab40307..000000000000
--- a/lib/matplotlib/sphinxext/ipython_console_highlighting.py
+++ /dev/null
@@ -1,125 +0,0 @@
-"""reST directive for syntax-highlighting ipython interactive sessions.
-
-XXX - See what improvements can be made based on the new (as of Sept 2009)
-'pycon' lexer for the python console.  At the very least it will give better
-highlighted tracebacks.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-#-----------------------------------------------------------------------------
-# Needed modules
-
-# Standard library
-import re
-
-# Third party
-from pygments.lexer import Lexer, do_insertions
-from pygments.lexers.agile import (PythonConsoleLexer, PythonLexer,
-                                   PythonTracebackLexer)
-from pygments.token import Comment, Generic
-
-from sphinx import highlighting
-import matplotlib
-
-matplotlib.cbook.warn_deprecated("1.4", """
-The Sphinx extension ipython_console_highlighting has moved from
-matplotlib to IPython, and its use in matplotlib is deprecated.
-Change your import from 'matplotlib.sphinxext.ipython_directive' to
-'IPython.sphinxext.ipython_directive.""")
-
-#-----------------------------------------------------------------------------
-# Global constants
-line_re = re.compile('.*?\n')
-
-#-----------------------------------------------------------------------------
-# Code begins - classes and functions
-
-class IPythonConsoleLexer(Lexer):
-    """
-    For IPython console output or doctests, such as:
-
-    .. sourcecode:: ipython
-
-      In [1]: a = 'foo'
-
-      In [2]: a
-      Out[2]: 'foo'
-
-      In [3]: print a
-      foo
-
-      In [4]: 1 / 0
-
-    Notes:
-
-      - Tracebacks are not currently supported.
-
-      - It assumes the default IPython prompts, not customized ones.
-    """
-
-    name = 'IPython console session'
-    aliases = ['ipython']
-    mimetypes = ['text/x-ipython-console']
-    input_prompt = re.compile("(In \[[0-9]+\]: )|(   \.\.\.+:)")
-    output_prompt = re.compile("(Out\[[0-9]+\]: )|(   \.\.\.+:)")
-    continue_prompt = re.compile("   \.\.\.+:")
-    tb_start = re.compile("\-+")
-
-    def get_tokens_unprocessed(self, text):
-        pylexer = PythonLexer(**self.options)
-        tblexer = PythonTracebackLexer(**self.options)
-
-        curcode = ''
-        insertions = []
-        for match in line_re.finditer(text):
-            line = match.group()
-            input_prompt = self.input_prompt.match(line)
-            continue_prompt = self.continue_prompt.match(line.rstrip())
-            output_prompt = self.output_prompt.match(line)
-            if line.startswith("#"):
-                insertions.append((len(curcode),
-                                   [(0, Comment, line)]))
-            elif input_prompt is not None:
-                insertions.append((len(curcode),
-                                   [(0, Generic.Prompt, input_prompt.group())]))
-                curcode += line[input_prompt.end():]
-            elif continue_prompt is not None:
-                insertions.append((len(curcode),
-                                   [(0, Generic.Prompt, continue_prompt.group())]))
-                curcode += line[continue_prompt.end():]
-            elif output_prompt is not None:
-                # Use the 'error' token for output.  We should probably make
-                # our own token, but error is typicaly in a bright color like
-                # red, so it works fine for our output prompts.
-                insertions.append((len(curcode),
-                                   [(0, Generic.Error, output_prompt.group())]))
-                curcode += line[output_prompt.end():]
-            else:
-                if curcode:
-                    for item in do_insertions(insertions,
-                                              pylexer.get_tokens_unprocessed(curcode)):
-                        yield item
-                        curcode = ''
-                        insertions = []
-                yield match.start(), Generic.Output, line
-        if curcode:
-            for item in do_insertions(insertions,
-                                      pylexer.get_tokens_unprocessed(curcode)):
-                yield item
-
-
-def setup(app):
-    """Setup as a sphinx extension."""
-
-    # This is only a lexer, so adding it below to pygments appears sufficient.
-    # But if somebody knows that the right API usage should be to do that via
-    # sphinx, by all means fix it here.  At least having this setup.py
-    # suppresses the sphinx warning we'd get without it.
-    pass
-
-#-----------------------------------------------------------------------------
-# Register the extension as a valid pygments lexer
-highlighting.lexers['ipython'] = IPythonConsoleLexer()
diff --git a/lib/matplotlib/sphinxext/ipython_directive.py b/lib/matplotlib/sphinxext/ipython_directive.py
deleted file mode 100644
index 01c64a3ce721..000000000000
--- a/lib/matplotlib/sphinxext/ipython_directive.py
+++ /dev/null
@@ -1,843 +0,0 @@
-# -*- coding: utf-8 -*-
-"""Sphinx directive to support embedded IPython code.
-
-This directive allows pasting of entire interactive IPython sessions, prompts
-and all, and their code will actually get re-executed at doc build time, with
-all prompts renumbered sequentially. It also allows you to input code as a pure
-python input by giving the argument python to the directive. The output looks
-like an interactive ipython section.
-
-To enable this directive, simply list it in your Sphinx ``conf.py`` file
-(making sure the directory where you placed it is visible to sphinx, as is
-needed for all Sphinx directives).
-
-By default this directive assumes that your prompts are unchanged IPython ones,
-but this can be customized. The configurable options that can be placed in
-conf.py are
-
-ipython_savefig_dir:
-    The directory in which to save the figures. This is relative to the
-    Sphinx source directory. The default is `html_static_path`.
-ipython_rgxin:
-    The compiled regular expression to denote the start of IPython input
-    lines. The default is re.compile('In \[(\d+)\]:\s?(.*)\s*'). You
-    shouldn't need to change this.
-ipython_rgxout:
-    The compiled regular expression to denote the start of IPython output
-    lines. The default is re.compile('Out\[(\d+)\]:\s?(.*)\s*'). You
-    shouldn't need to change this.
-ipython_promptin:
-    The string to represent the IPython input prompt in the generated ReST.
-    The default is 'In [%d]:'. This expects that the line numbers are used
-    in the prompt.
-ipython_promptout:
-
-    The string to represent the IPython prompt in the generated ReST. The
-    default is 'Out [%d]:'. This expects that the line numbers are used
-    in the prompt.
-
-ToDo
-----
-
-- Turn the ad-hoc test() function into a real test suite.
-- Break up ipython-specific functionality from matplotlib stuff into better
-  separated code.
-
-Authors
--------
-
-- John D Hunter: orignal author.
-- Fernando Perez: refactoring, documentation, cleanups, port to 0.11.
-- VáclavŠmilauer <eudoxos-AT-arcig.cz>: Prompt generalizations.
-- Skipper Seabold, refactoring, cleanups, pure python addition
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-#-----------------------------------------------------------------------------
-# Imports
-#-----------------------------------------------------------------------------
-
-# Stdlib
-import io
-import os
-import re
-import sys
-import tempfile
-import ast
-from hashlib import md5
-
-# Third-party
-import matplotlib
-import sphinx
-from docutils.parsers.rst import directives
-from docutils import nodes
-from sphinx.util.compat import Directive
-
-matplotlib.use('Agg')
-
-matplotlib.cbook.warn_deprecated("1.4", """
-The Sphinx extension ipython_console_highlighting has moved from
-matplotlib to IPython, and its use in matplotlib is deprecated.
-Change your import from 'matplotlib.sphinxext.ipython_directive' to
-'IPython.sphinxext.ipython_directive.""")
-
-# Our own
-try:
-    from IPython import Config, InteractiveShell
-    from IPython.core.profiledir import ProfileDir
-    from IPython.utils import io
-except ImportError:
-    raise ImportError(
-        "Unable to import the necessary objects from IPython. "
-        "You may need to install or upgrade your IPython installation.")
-
-
-#-----------------------------------------------------------------------------
-# Globals
-#-----------------------------------------------------------------------------
-# for tokenizing blocks
-COMMENT, INPUT, OUTPUT = list(xrange(3))
-
-#-----------------------------------------------------------------------------
-# Functions and class declarations
-#-----------------------------------------------------------------------------
-def block_parser(part, rgxin, rgxout, fmtin, fmtout):
-    """
-    part is a string of ipython text, comprised of at most one
-    input, one ouput, comments, and blank lines.  The block parser
-    parses the text into a list of::
-
-      blocks = [ (TOKEN0, data0), (TOKEN1, data1), ...]
-
-    where TOKEN is one of [COMMENT | INPUT | OUTPUT ] and
-    data is, depending on the type of token::
-
-      COMMENT : the comment string
-
-      INPUT: the (DECORATOR, INPUT_LINE, REST) where
-         DECORATOR: the input decorator (or None)
-         INPUT_LINE: the input as string (possibly multi-line)
-         REST : any stdout generated by the input line (not OUTPUT)
-
-
-      OUTPUT: the output string, possibly multi-line
-    """
-
-    block = []
-    lines = part.split('\n')
-    N = len(lines)
-    i = 0
-    decorator = None
-    while 1:
-
-        if i==N:
-            # nothing left to parse -- the last line
-            break
-
-        line = lines[i]
-        i += 1
-        line_stripped = line.strip()
-        if line_stripped.startswith('#'):
-            block.append((COMMENT, line))
-            continue
-
-        if line_stripped.startswith('@'):
-            # we're assuming at most one decorator -- may need to
-            # rethink
-            decorator = line_stripped
-            continue
-
-        # does this look like an input line?
-        matchin = rgxin.match(line)
-        if matchin:
-            lineno, inputline = int(matchin.group(1)), matchin.group(2)
-
-            # the ....: continuation string
-            continuation = '   %s:'%''.join(['.']*(len(str(lineno))+2))
-            Nc = len(continuation)
-            # input lines can continue on for more than one line, if
-            # we have a '\' line continuation char or a function call
-            # echo line 'print'.  The input line can only be
-            # terminated by the end of the block or an output line, so
-            # we parse out the rest of the input line if it is
-            # multiline as well as any echo text
-
-            rest = []
-            while i<N:
-
-                # look ahead; if the next line is blank, or a comment, or
-                # an output line, we're done
-
-                nextline = lines[i]
-                matchout = rgxout.match(nextline)
-                #print "nextline=%s, continuation=%s, starts=%s"%(nextline, continuation, nextline.startswith(continuation))
-                if matchout or nextline.startswith('#'):
-                    break
-                elif nextline.startswith(continuation):
-                    inputline += '\n' + nextline[Nc:]
-                else:
-                    rest.append(nextline)
-                i+= 1
-
-            block.append((INPUT, (decorator, inputline, '\n'.join(rest))))
-            continue
-
-        # if it looks like an output line grab all the text to the end
-        # of the block
-        matchout = rgxout.match(line)
-        if matchout:
-            lineno, output = int(matchout.group(1)), matchout.group(2)
-            if i<N-1:
-                output = '\n'.join([output] + lines[i:])
-
-            block.append((OUTPUT, output))
-            break
-
-    return block
-
-class EmbeddedSphinxShell(object):
-    """An embedded IPython instance to run inside Sphinx"""
-
-    def __init__(self):
-
-        self.cout = io.StringIO()
-
-
-        # Create config object for IPython
-        config = Config()
-        config.Global.display_banner = False
-        config.Global.exec_lines = ['import numpy as np',
-                                    'from pylab import *'
-                                    ]
-        config.InteractiveShell.autocall = False
-        config.InteractiveShell.autoindent = False
-        config.InteractiveShell.colors = 'NoColor'
-
-        # create a profile so instance history isn't saved
-        tmp_profile_dir = tempfile.mkdtemp(prefix='profile_')
-        profname = 'auto_profile_sphinx_build'
-        pdir = os.path.join(tmp_profile_dir,profname)
-        profile = ProfileDir.create_profile_dir(pdir)
-
-        # Create and initialize ipython, but don't start its mainloop
-        IP = InteractiveShell.instance(config=config, profile_dir=profile)
-        # io.stdout redirect must be done *after* instantiating InteractiveShell
-        io.stdout = self.cout
-        io.stderr = self.cout
-
-        # For debugging, so we can see normal output, use this:
-        #from IPython.utils.io import Tee
-        #io.stdout = Tee(self.cout, channel='stdout') # dbg
-        #io.stderr = Tee(self.cout, channel='stderr') # dbg
-
-        # Store a few parts of IPython we'll need.
-        self.IP = IP
-        self.user_ns = self.IP.user_ns
-        self.user_global_ns = self.IP.user_global_ns
-
-        self.input = ''
-        self.output = ''
-
-        self.is_verbatim = False
-        self.is_doctest = False
-        self.is_suppress = False
-
-        # on the first call to the savefig decorator, we'll import
-        # pyplot as plt so we can make a call to the plt.gcf().savefig
-        self._pyplot_imported = False
-
-    def clear_cout(self):
-        self.cout.seek(0)
-        self.cout.truncate(0)
-
-    def process_input_line(self, line, store_history=True):
-        """process the input, capturing stdout"""
-        #print "input='%s'"%self.input
-        stdout = sys.stdout
-        splitter = self.IP.input_splitter
-        try:
-            sys.stdout = self.cout
-            splitter.push(line)
-            more = splitter.push_accepts_more()
-            if not more:
-                source_raw = splitter.source_raw_reset()[1]
-                self.IP.run_cell(source_raw, store_history=store_history)
-        finally:
-            sys.stdout = stdout
-
-    def process_image(self, decorator):
-        """
-        # build out an image directive like
-        # .. image:: somefile.png
-        #    :width 4in
-        #
-        # from an input like
-        # savefig somefile.png width=4in
-        """
-        savefig_dir = self.savefig_dir
-        source_dir = self.source_dir
-        saveargs = decorator.split(' ')
-        filename = saveargs[1]
-        # insert relative path to image file in source
-        outfile = os.path.relpath(os.path.join(savefig_dir,filename),
-                    source_dir)
-
-        imagerows = ['.. image:: %s'%outfile]
-
-        for kwarg in saveargs[2:]:
-            arg, val = kwarg.split('=')
-            arg = arg.strip()
-            val = val.strip()
-            imagerows.append('   :%s: %s'%(arg, val))
-
-        image_file = os.path.basename(outfile) # only return file name
-        image_directive = '\n'.join(imagerows)
-        return image_file, image_directive
-
-
-    # Callbacks for each type of token
-    def process_input(self, data, input_prompt, lineno):
-        """Process data block for INPUT token."""
-        decorator, input, rest = data
-        image_file = None
-        image_directive = None
-        #print 'INPUT:', data  # dbg
-        is_verbatim = decorator=='@verbatim' or self.is_verbatim
-        is_doctest = decorator=='@doctest' or self.is_doctest
-        is_suppress = decorator=='@suppress' or self.is_suppress
-        is_savefig = decorator is not None and \
-                     decorator.startswith('@savefig')
-
-        input_lines = input.split('\n')
-        if len(input_lines) > 1:
-            if input_lines[-1] != "":
-                input_lines.append('') # make sure there's a blank line
-                                       # so splitter buffer gets reset
-
-        continuation = '   %s:'%''.join(['.']*(len(str(lineno))+2))
-        Nc = len(continuation)
-
-        if is_savefig:
-            image_file, image_directive = self.process_image(decorator)
-
-        ret = []
-        is_semicolon = False
-
-        for i, line in enumerate(input_lines):
-            if line.endswith(';'):
-                is_semicolon = True
-
-            if i==0:
-                # process the first input line
-                if is_verbatim:
-                    self.process_input_line('')
-                    self.IP.execution_count += 1 # increment it anyway
-                else:
-                    # only submit the line in non-verbatim mode
-                    self.process_input_line(line, store_history=True)
-                formatted_line = '%s %s'%(input_prompt, line)
-            else:
-                # process a continuation line
-                if not is_verbatim:
-                    self.process_input_line(line, store_history=True)
-
-                formatted_line = '%s %s'%(continuation, line)
-
-            if not is_suppress:
-                ret.append(formatted_line)
-
-        if not is_suppress and len(rest.strip()) and is_verbatim:
-            # the "rest" is the standard output of the
-            # input, which needs to be added in
-            # verbatim mode
-            ret.append(rest)
-
-        self.cout.seek(0)
-        output = self.cout.read()
-        if not is_suppress and not is_semicolon:
-            ret.append(output)
-        elif is_semicolon: # get spacing right
-            ret.append('')
-
-        self.cout.truncate(0)
-        return (ret, input_lines, output, is_doctest, image_file,
-                    image_directive)
-        #print 'OUTPUT', output  # dbg
-
-    def process_output(self, data, output_prompt,
-                       input_lines, output, is_doctest, image_file):
-        """Process data block for OUTPUT token."""
-        if is_doctest:
-            submitted = data.strip()
-            found = output
-            if found is not None:
-                found = found.strip()
-
-                # XXX - fperez: in 0.11, 'output' never comes with the prompt
-                # in it, just the actual output text.  So I think all this code
-                # can be nuked...
-
-                # the above comment does not appear to be accurate... (minrk)
-
-                ind = found.find(output_prompt)
-                if ind<0:
-                    e='output prompt="%s" does not match out line=%s' % \
-                       (output_prompt, found)
-                    raise RuntimeError(e)
-                found = found[len(output_prompt):].strip()
-
-                if found!=submitted:
-                    e = ('doctest failure for input_lines="%s" with '
-                         'found_output="%s" and submitted output="%s"' %
-                         (input_lines, found, submitted) )
-                    raise RuntimeError(e)
-                #print 'doctest PASSED for input_lines="%s" with found_output="%s" and submitted output="%s"'%(input_lines, found, submitted)
-
-    def process_comment(self, data):
-        """Process data fPblock for COMMENT token."""
-        if not self.is_suppress:
-            return [data]
-
-    def save_image(self, image_file):
-        """
-        Saves the image file to disk.
-        """
-        self.ensure_pyplot()
-        command = 'plt.gcf().savefig("%s")'%image_file
-        #print 'SAVEFIG', command  # dbg
-        self.process_input_line('bookmark ipy_thisdir', store_history=False)
-        self.process_input_line('cd -b ipy_savedir', store_history=False)
-        self.process_input_line(command, store_history=False)
-        self.process_input_line('cd -b ipy_thisdir', store_history=False)
-        self.process_input_line('bookmark -d ipy_thisdir', store_history=False)
-        self.clear_cout()
-
-
-    def process_block(self, block):
-        """
-        process block from the block_parser and return a list of processed lines
-        """
-        ret = []
-        output = None
-        input_lines = None
-        lineno = self.IP.execution_count
-
-        input_prompt = self.promptin%lineno
-        output_prompt = self.promptout%lineno
-        image_file = None
-        image_directive = None
-
-        for token, data in block:
-            if token==COMMENT:
-                out_data = self.process_comment(data)
-            elif token==INPUT:
-                (out_data, input_lines, output, is_doctest, image_file,
-                    image_directive) = \
-                          self.process_input(data, input_prompt, lineno)
-            elif token==OUTPUT:
-                out_data = \
-                    self.process_output(data, output_prompt,
-                                        input_lines, output, is_doctest,
-                                        image_file)
-            if out_data:
-                ret.extend(out_data)
-
-        # save the image files
-        if image_file is not None:
-            self.save_image(image_file)
-
-        return ret, image_directive
-
-    def ensure_pyplot(self):
-        if self._pyplot_imported:
-            return
-        self.process_input_line('import matplotlib.pyplot as plt',
-                                store_history=False)
-
-    def process_pure_python(self, content):
-        """
-        content is a list of strings. it is unedited directive conent
-
-        This runs it line by line in the InteractiveShell, prepends
-        prompts as needed capturing stderr and stdout, then returns
-        the content as a list as if it were ipython code
-        """
-        output = []
-        savefig = False # keep up with this to clear figure
-        multiline = False # to handle line continuation
-        multiline_start = None
-        fmtin = self.promptin
-
-        ct = 0
-
-        for lineno, line in enumerate(content):
-
-            line_stripped = line.strip()
-            if not len(line):
-                output.append(line)
-                continue
-
-            # handle decorators
-            if line_stripped.startswith('@'):
-                output.extend([line])
-                if 'savefig' in line:
-                    savefig = True # and need to clear figure
-                continue
-
-            # handle comments
-            if line_stripped.startswith('#'):
-                output.extend([line])
-                continue
-
-            # deal with lines checking for multiline
-            continuation  = '   %s:'% ''.join(['.']*(len(str(ct))+2))
-            if not multiline:
-                modified = "%s %s" % (fmtin % ct, line_stripped)
-                output.append(modified)
-                ct += 1
-                try:
-                    ast.parse(line_stripped)
-                    output.append('')
-                except Exception: # on a multiline
-                    multiline = True
-                    multiline_start = lineno
-            else: # still on a multiline
-                modified = '%s %s' % (continuation, line)
-                output.append(modified)
-                try:
-                    mod = ast.parse(
-                            '\n'.join(content[multiline_start:lineno+1]))
-                    if isinstance(mod.body[0], ast.FunctionDef):
-                        # check to see if we have the whole function
-                        for element in mod.body[0].body:
-                            if isinstance(element, ast.Return):
-                                multiline = False
-                    else:
-                        output.append('')
-                        multiline = False
-                except Exception:
-                    pass
-
-            if savefig: # clear figure if plotted
-                self.ensure_pyplot()
-                self.process_input_line('plt.clf()', store_history=False)
-                self.clear_cout()
-                savefig = False
-
-        return output
-
-class IpythonDirective(Directive):
-
-    has_content = True
-    required_arguments = 0
-    optional_arguments = 4 # python, suppress, verbatim, doctest
-    final_argumuent_whitespace = True
-    option_spec = { 'python': directives.unchanged,
-                    'suppress' : directives.flag,
-                    'verbatim' : directives.flag,
-                    'doctest' : directives.flag,
-                  }
-
-    shell = EmbeddedSphinxShell()
-
-    def get_config_options(self):
-        # contains sphinx configuration variables
-        config = self.state.document.settings.env.config
-
-        # get config variables to set figure output directory
-        confdir = self.state.document.settings.env.app.confdir
-        savefig_dir = config.ipython_savefig_dir
-        source_dir = os.path.dirname(self.state.document.current_source)
-        if savefig_dir is None:
-            savefig_dir = config.html_static_path
-        if isinstance(savefig_dir, list):
-            savefig_dir = savefig_dir[0] # safe to assume only one path?
-        savefig_dir = os.path.join(confdir, savefig_dir)
-
-        # get regex and prompt stuff
-        rgxin     = config.ipython_rgxin
-        rgxout    = config.ipython_rgxout
-        promptin  = config.ipython_promptin
-        promptout = config.ipython_promptout
-
-        return savefig_dir, source_dir, rgxin, rgxout, promptin, promptout
-
-    def setup(self):
-        # reset the execution count if we haven't processed this doc
-        #NOTE: this may be borked if there are multiple seen_doc tmp files
-        #check time stamp?
-        seen_docs = [i for i in os.listdir(tempfile.tempdir)
-            if i.startswith('seen_doc')]
-        if seen_docs:
-            fname = os.path.join(tempfile.tempdir, seen_docs[0])
-            docs = open(fname).read().split('\n')
-            if not self.state.document.current_source in docs:
-                self.shell.IP.history_manager.reset()
-                self.shell.IP.execution_count = 1
-        else: # haven't processed any docs yet
-            docs = []
-
-
-        # get config values
-        (savefig_dir, source_dir, rgxin,
-                rgxout, promptin, promptout) = self.get_config_options()
-
-        # and attach to shell so we don't have to pass them around
-        self.shell.rgxin = rgxin
-        self.shell.rgxout = rgxout
-        self.shell.promptin = promptin
-        self.shell.promptout = promptout
-        self.shell.savefig_dir = savefig_dir
-        self.shell.source_dir = source_dir
-
-        # setup bookmark for saving figures directory
-
-        self.shell.process_input_line('bookmark ipy_savedir %s'%savefig_dir,
-                                      store_history=False)
-        self.shell.clear_cout()
-
-        # write the filename to a tempfile because it's been "seen" now
-        if not self.state.document.current_source in docs:
-            fd, fname = tempfile.mkstemp(prefix="seen_doc", text=True)
-            fout = open(fname, 'a')
-            fout.write(self.state.document.current_source+'\n')
-            fout.close()
-
-        return rgxin, rgxout, promptin, promptout
-
-
-    def teardown(self):
-        # delete last bookmark
-        self.shell.process_input_line('bookmark -d ipy_savedir',
-                                      store_history=False)
-        self.shell.clear_cout()
-
-    def run(self):
-        debug = False
-
-        #TODO, any reason block_parser can't be a method of embeddable shell
-        # then we wouldn't have to carry these around
-        rgxin, rgxout, promptin, promptout = self.setup()
-
-        options = self.options
-        self.shell.is_suppress = 'suppress' in options
-        self.shell.is_doctest = 'doctest' in options
-        self.shell.is_verbatim = 'verbatim' in options
-
-
-        # handle pure python code
-        if 'python' in self.arguments:
-            content = self.content
-            self.content = self.shell.process_pure_python(content)
-
-        parts = '\n'.join(self.content).split('\n\n')
-
-        lines = ['.. code-block:: ipython','']
-        figures = []
-
-        for part in parts:
-
-            block = block_parser(part, rgxin, rgxout, promptin, promptout)
-
-            if len(block):
-                rows, figure = self.shell.process_block(block)
-                for row in rows:
-                    lines.extend(['   %s'%line for line in row.split('\n')])
-
-                if figure is not None:
-                    figures.append(figure)
-
-        #text = '\n'.join(lines)
-        #figs = '\n'.join(figures)
-
-        for figure in figures:
-            lines.append('')
-            lines.extend(figure.split('\n'))
-            lines.append('')
-
-        #print lines
-        if len(lines)>2:
-            if debug:
-                print('\n'.join(lines))
-            else: #NOTE: this raises some errors, what's it for?
-                #print 'INSERTING %d lines'%len(lines)
-                self.state_machine.insert_input(
-                    lines, self.state_machine.input_lines.source(0))
-
-        text = '\n'.join(lines)
-        txtnode = nodes.literal_block(text, text)
-        txtnode['language'] = 'ipython'
-        #imgnode = nodes.image(figs)
-
-        # cleanup
-        self.teardown()
-
-        return []#, imgnode]
-
-# Enable as a proper Sphinx directive
-def setup(app):
-    setup.app = app
-
-    app.add_directive('ipython', IpythonDirective)
-    app.add_config_value('ipython_savefig_dir', None, True)
-    app.add_config_value('ipython_rgxin',
-                         re.compile('In \[(\d+)\]:\s?(.*)\s*'), True)
-    app.add_config_value('ipython_rgxout',
-                         re.compile('Out\[(\d+)\]:\s?(.*)\s*'), True)
-    app.add_config_value('ipython_promptin', 'In [%d]:', True)
-    app.add_config_value('ipython_promptout', 'Out[%d]:', True)
-
-
-# Simple smoke test, needs to be converted to a proper automatic test.
-def test():
-
-    examples = [
-        r"""
-In [9]: pwd
-Out[9]: '/home/jdhunter/py4science/book'
-
-In [10]: cd bookdata/
-/home/jdhunter/py4science/book/bookdata
-
-In [2]: from pylab import *
-
-In [2]: ion()
-
-In [3]: im = imread('stinkbug.png')
-
-@savefig mystinkbug.png width=4in
-In [4]: imshow(im)
-Out[4]: <matplotlib.image.AxesImage object at 0x39ea850>
-
-""",
-        r"""
-
-In [1]: x = 'hello world'
-
-# string methods can be
-# used to alter the string
-@doctest
-In [2]: x.upper()
-Out[2]: 'HELLO WORLD'
-
-@verbatim
-In [3]: x.st<TAB>
-x.startswith  x.strip
-""",
-    r"""
-
-In [130]: url = 'http://ichart.finance.yahoo.com/table.csv?s=CROX\
-   .....: &d=9&e=22&f=2009&g=d&a=1&br=8&c=2006&ignore=.csv'
-
-In [131]: print url.split('&')
-['http://ichart.finance.yahoo.com/table.csv?s=CROX', 'd=9', 'e=22', 'f=2009', 'g=d', 'a=1', 'b=8', 'c=2006', 'ignore=.csv']
-
-In [60]: import urllib
-
-""",
-    r"""\
-
-In [133]: import numpy.random
-
-@suppress
-In [134]: numpy.random.seed(2358)
-
-@doctest
-In [135]: numpy.random.rand(10,2)
-Out[135]:
-array([[ 0.64524308,  0.59943846],
-       [ 0.47102322,  0.8715456 ],
-       [ 0.29370834,  0.74776844],
-       [ 0.99539577,  0.1313423 ],
-       [ 0.16250302,  0.21103583],
-       [ 0.81626524,  0.1312433 ],
-       [ 0.67338089,  0.72302393],
-       [ 0.7566368 ,  0.07033696],
-       [ 0.22591016,  0.77731835],
-       [ 0.0072729 ,  0.34273127]])
-
-""",
-
-    r"""
-In [106]: print x
-jdh
-
-In [109]: for i in range(10):
-   .....:     print i
-   .....:
-   .....:
-0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-""",
-
-        r"""
-
-In [144]: from pylab import *
-
-In [145]: ion()
-
-# use a semicolon to suppress the output
-@savefig test_hist.png width=4in
-In [151]: hist(np.random.randn(10000), 100);
-
-
-@savefig test_plot.png width=4in
-In [151]: plot(np.random.randn(10000), 'o');
-   """,
-
-        r"""
-# use a semicolon to suppress the output
-In [151]: plt.clf()
-
-@savefig plot_simple.png width=4in
-In [151]: plot([1,2,3])
-
-@savefig hist_simple.png width=4in
-In [151]: hist(np.random.randn(10000), 100);
-
-""",
-     r"""
-# update the current fig
-In [151]: ylabel('number')
-
-In [152]: title('normal distribution')
-
-
-@savefig hist_with_text.png
-In [153]: grid(True)
-
-        """,
-        ]
-    # skip local-file depending first example:
-    examples = examples[1:]
-
-    #ipython_directive.DEBUG = True  # dbg
-    #options = dict(suppress=True)  # dbg
-    options = dict()
-    for example in examples:
-        content = example.split('\n')
-        ipython_directive('debug', arguments=None, options=options,
-                          content=content, lineno=0,
-                          content_offset=None, block_text=None,
-                          state=None, state_machine=None,
-                          )
-
-# Run test suite as a script
-if __name__=='__main__':
-    if not os.path.isdir('_static'):
-        os.mkdir('_static')
-    test()
-    print('All OK? Check figures in _static/')
diff --git a/lib/matplotlib/sphinxext/mathmpl.py b/lib/matplotlib/sphinxext/mathmpl.py
index 019823b14fa1..30f024524258 100644
--- a/lib/matplotlib/sphinxext/mathmpl.py
+++ b/lib/matplotlib/sphinxext/mathmpl.py
@@ -1,29 +1,96 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+r"""
+A role and directive to display mathtext in Sphinx
+==================================================
 
-import six
+The ``mathmpl`` Sphinx extension creates a mathtext image in Matplotlib and
+shows it in html output. Thus, it is a true and faithful representation of what
+you will see if you pass a given LaTeX string to Matplotlib (see
+:ref:`mathtext`).
 
-import os
-import sys
-from hashlib import md5
+.. warning::
+    In most cases, you will likely want to use one of `Sphinx's builtin Math
+    extensions
+    <https://www.sphinx-doc.org/en/master/usage/extensions/math.html>`__
+    instead of this one. The builtin Sphinx math directive uses MathJax to
+    render mathematical expressions, and addresses accessibility concerns that
+    ``mathmpl`` doesn't address.
+
+Mathtext may be included in two ways:
+
+1. Inline, using the role::
+
+     This text uses inline math: :mathmpl:`\alpha > \beta`.
+
+   which produces:
+
+     This text uses inline math: :mathmpl:`\alpha > \beta`.
+
+2. Standalone, using the directive::
+
+     Here is some standalone math:
+
+     .. mathmpl::
+
+         \alpha > \beta
+
+   which produces:
+
+     Here is some standalone math:
+
+     .. mathmpl::
+
+         \alpha > \beta
+
+Options
+-------
+
+The ``mathmpl`` role and directive both support the following options:
+
+fontset : str, default: 'cm'
+    The font set to use when displaying math. See :rc:`mathtext.fontset`.
+
+fontsize : float
+    The font size, in points. Defaults to the value from the extension
+    configuration option defined below.
+
+Configuration options
+---------------------
+
+The mathtext extension has the following configuration options:
+
+mathmpl_fontsize : float, default: 10.0
+    Default font size, in points.
+
+mathmpl_srcset : list of str, default: []
+    Additional image sizes to generate when embedding in HTML, to support
+    `responsive resolution images
+    <https://developer.mozilla.org/en-US/docs/Learn/HTML/Multimedia_and_embedding/Responsive_images>`__.
+    The list should contain additional x-descriptors (``'1.5x'``, ``'2x'``,
+    etc.) to generate (1x is the default and always included.)
+
+"""
+
+import hashlib
+from pathlib import Path
 
 from docutils import nodes
-from docutils.parsers.rst import directives
-import warnings
+from docutils.parsers.rst import Directive, directives
+import sphinx
+from sphinx.errors import ConfigError, ExtensionError
+
+import matplotlib as mpl
+from matplotlib import _api, mathtext
+from matplotlib.rcsetup import validate_float_or_None
 
-from matplotlib import rcParams
-from matplotlib.mathtext import MathTextParser
-rcParams['mathtext.fontset'] = 'cm'
-mathtext_parser = MathTextParser("Bitmap")
 
 # Define LaTeX math node:
 class latex_math(nodes.General, nodes.Element):
     pass
 
+
 def fontset_choice(arg):
-    return directives.choice(arg, ['cm', 'stix', 'stixsans'])
+    return directives.choice(arg, mathtext.MathTextParser._font_type_mapping)
 
-options_spec = {'fontset': fontset_choice}
 
 def math_role(role, rawtext, text, lineno, inliner,
               options={}, content=[]):
@@ -32,49 +99,74 @@ def math_role(role, rawtext, text, lineno, inliner,
     node = latex_math(rawtext)
     node['latex'] = latex
     node['fontset'] = options.get('fontset', 'cm')
+    node['fontsize'] = options.get('fontsize',
+                                   setup.app.config.mathmpl_fontsize)
     return [node], []
-math_role.options = options_spec
+math_role.options = {'fontset': fontset_choice,
+                     'fontsize': validate_float_or_None}
+
+
+class MathDirective(Directive):
+    """
+    The ``.. mathmpl::`` directive, as documented in the module's docstring.
+    """
+    has_content = True
+    required_arguments = 0
+    optional_arguments = 0
+    final_argument_whitespace = False
+    option_spec = {'fontset': fontset_choice,
+                   'fontsize': validate_float_or_None}
+
+    def run(self):
+        latex = ''.join(self.content)
+        node = latex_math(self.block_text)
+        node['latex'] = latex
+        node['fontset'] = self.options.get('fontset', 'cm')
+        node['fontsize'] = self.options.get('fontsize',
+                                            setup.app.config.mathmpl_fontsize)
+        return [node]
 
-def math_directive(name, arguments, options, content, lineno,
-                   content_offset, block_text, state, state_machine):
-    latex = ''.join(content)
-    node = latex_math(block_text)
-    node['latex'] = latex
-    node['fontset'] = options.get('fontset', 'cm')
-    return [node]
 
 # This uses mathtext to render the expression
-def latex2png(latex, filename, fontset='cm'):
-    latex = "$%s$" % latex
-    orig_fontset = rcParams['mathtext.fontset']
-    rcParams['mathtext.fontset'] = fontset
-    if os.path.exists(filename):
-        depth = mathtext_parser.get_depth(latex, dpi=100)
-    else:
+def latex2png(latex, filename, fontset='cm', fontsize=10, dpi=100):
+    with mpl.rc_context({'mathtext.fontset': fontset, 'font.size': fontsize}):
         try:
-            depth = mathtext_parser.to_png(filename, latex, dpi=100)
-        except:
-            warnings.warn("Could not render math expression %s" % latex,
-                          Warning)
+            depth = mathtext.math_to_image(
+                f"${latex}$", filename, dpi=dpi, format="png")
+        except Exception:
+            _api.warn_external(f"Could not render math expression {latex}")
             depth = 0
-    rcParams['mathtext.fontset'] = orig_fontset
-    sys.stdout.write("#")
-    sys.stdout.flush()
     return depth
 
+
 # LaTeX to HTML translation stuff:
 def latex2html(node, source):
     inline = isinstance(node.parent, nodes.TextElement)
     latex = node['latex']
-    name = 'math-%s' % md5(latex.encode()).hexdigest()[-10:]
-
-    destdir = os.path.join(setup.app.builder.outdir, '_images', 'mathmpl')
-    if not os.path.exists(destdir):
-        os.makedirs(destdir)
-    dest = os.path.join(destdir, '%s.png' % name)
-    path = '/'.join((setup.app.builder.imgpath, 'mathmpl'))
-
-    depth = latex2png(latex, dest, node['fontset'])
+    fontset = node['fontset']
+    fontsize = node['fontsize']
+    name = 'math-{}'.format(
+        hashlib.sha256(
+            f'{latex}{fontset}{fontsize}'.encode(),
+            usedforsecurity=False,
+        ).hexdigest()[-10:])
+
+    destdir = Path(setup.app.builder.outdir, '_images', 'mathmpl')
+    destdir.mkdir(parents=True, exist_ok=True)
+
+    dest = destdir / f'{name}.png'
+    depth = latex2png(latex, dest, fontset, fontsize=fontsize)
+
+    srcset = []
+    for size in setup.app.config.mathmpl_srcset:
+        filename = f'{name}-{size.replace(".", "_")}.png'
+        latex2png(latex, destdir / filename, fontset, fontsize=fontsize,
+                  dpi=100 * float(size[:-1]))
+        srcset.append(
+            f'{setup.app.builder.imgpath}/mathmpl/{filename} {size}')
+    if srcset:
+        srcset = (f'srcset="{setup.app.builder.imgpath}/mathmpl/{name}.png, ' +
+                  ', '.join(srcset) + '" ')
 
     if inline:
         cls = ''
@@ -85,18 +177,42 @@ def latex2html(node, source):
     else:
         style = ''
 
-    return '<img src="%s/%s.png" %s%s/>' % (path, name, cls, style)
+    return (f'<img src="{setup.app.builder.imgpath}/mathmpl/{name}.png"'
+            f' {srcset}{cls}{style}/>')
+
+
+def _config_inited(app, config):
+    # Check for srcset hidpi images
+    for i, size in enumerate(app.config.mathmpl_srcset):
+        if size[-1] == 'x':  # "2x" = "2.0"
+            try:
+                float(size[:-1])
+            except ValueError:
+                raise ConfigError(
+                    f'Invalid value for mathmpl_srcset parameter: {size!r}. '
+                    'Must be a list of strings with the multiplicative '
+                    'factor followed by an "x".  e.g. ["2.0x", "1.5x"]')
+        else:
+            raise ConfigError(
+                f'Invalid value for mathmpl_srcset parameter: {size!r}. '
+                'Must be a list of strings with the multiplicative '
+                'factor followed by an "x".  e.g. ["2.0x", "1.5x"]')
+
 
 def setup(app):
     setup.app = app
-
-    app.add_node(latex_math)
-    app.add_role('math', math_role)
+    app.add_config_value('mathmpl_fontsize', 10.0, True)
+    app.add_config_value('mathmpl_srcset', [], True)
+    try:
+        app.connect('config-inited', _config_inited)  # Sphinx 1.8+
+    except ExtensionError:
+        app.connect('env-updated', lambda app, env: _config_inited(app, None))
 
     # Add visit/depart methods to HTML-Translator:
     def visit_latex_math_html(self, node):
         source = self.document.attributes['source']
         self.body.append(latex2html(node, source))
+
     def depart_latex_math_html(self, node):
         pass
 
@@ -109,13 +225,18 @@ def visit_latex_math_latex(self, node):
             self.body.extend(['\\begin{equation}',
                               node['latex'],
                               '\\end{equation}'])
+
     def depart_latex_math_latex(self, node):
         pass
 
-    app.add_node(latex_math, html=(visit_latex_math_html,
-                                   depart_latex_math_html))
-    app.add_node(latex_math, latex=(visit_latex_math_latex,
-                                    depart_latex_math_latex))
-    app.add_role('math', math_role)
-    app.add_directive('math', math_directive,
-                      True, (0, 0, 0), **options_spec)
+    app.add_node(latex_math,
+                 html=(visit_latex_math_html, depart_latex_math_html),
+                 latex=(visit_latex_math_latex, depart_latex_math_latex))
+    app.add_role('mathmpl', math_role)
+    app.add_directive('mathmpl', MathDirective)
+    if sphinx.version_info < (1, 8):
+        app.add_role('math', math_role)
+        app.add_directive('math', MathDirective)
+
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True}
+    return metadata
diff --git a/lib/matplotlib/sphinxext/meson.build b/lib/matplotlib/sphinxext/meson.build
new file mode 100644
index 000000000000..35bb96fecbe1
--- /dev/null
+++ b/lib/matplotlib/sphinxext/meson.build
@@ -0,0 +1,13 @@
+python_sources = [
+  '__init__.py',
+  'figmpl_directive.py',
+  'mathmpl.py',
+  'plot_directive.py',
+  'roles.py',
+]
+
+typing_sources = [
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/sphinxext')
diff --git a/lib/matplotlib/sphinxext/only_directives.py b/lib/matplotlib/sphinxext/only_directives.py
deleted file mode 100644
index d0a2971dd830..000000000000
--- a/lib/matplotlib/sphinxext/only_directives.py
+++ /dev/null
@@ -1,68 +0,0 @@
-#
-# A pair of directives for inserting content that will only appear in
-# either html or latex.
-#
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from docutils.nodes import Body, Element
-from docutils.parsers.rst import directives
-
-class only_base(Body, Element):
-    def dont_traverse(self, *args, **kwargs):
-        return []
-
-class html_only(only_base):
-    pass
-
-class latex_only(only_base):
-    pass
-
-def run(content, node_class, state, content_offset):
-    text = '\n'.join(content)
-    node = node_class(text)
-    state.nested_parse(content, content_offset, node)
-    return [node]
-
-def html_only_directive(name, arguments, options, content, lineno,
-                        content_offset, block_text, state, state_machine):
-    return run(content, html_only, state, content_offset)
-
-def latex_only_directive(name, arguments, options, content, lineno,
-                         content_offset, block_text, state, state_machine):
-    return run(content, latex_only, state, content_offset)
-
-def builder_inited(app):
-    if app.builder.name == 'html':
-        latex_only.traverse = only_base.dont_traverse
-    else:
-        html_only.traverse = only_base.dont_traverse
-
-def setup(app):
-    app.add_directive('htmlonly', html_only_directive, True, (0, 0, 0))
-    app.add_directive('latexonly', latex_only_directive, True, (0, 0, 0))
-    app.add_node(html_only)
-    app.add_node(latex_only)
-
-    # This will *really* never see the light of day As it turns out,
-    # this results in "broken" image nodes since they never get
-    # processed, so best not to do this.
-    # app.connect('builder-inited', builder_inited)
-
-    # Add visit/depart methods to HTML-Translator:
-    def visit_perform(self, node):
-        pass
-    def depart_perform(self, node):
-        pass
-    def visit_ignore(self, node):
-        node.children = []
-    def depart_ignore(self, node):
-        node.children = []
-
-    app.add_node(html_only, html=(visit_perform, depart_perform))
-    app.add_node(html_only, latex=(visit_ignore, depart_ignore))
-    app.add_node(latex_only, latex=(visit_perform, depart_perform))
-    app.add_node(latex_only, html=(visit_ignore, depart_ignore))
diff --git a/lib/matplotlib/sphinxext/plot_directive.py b/lib/matplotlib/sphinxext/plot_directive.py
index 74d61006ca01..af858e344afa 100644
--- a/lib/matplotlib/sphinxext/plot_directive.py
+++ b/lib/matplotlib/sphinxext/plot_directive.py
@@ -1,180 +1,202 @@
 """
-A directive for including a matplotlib plot in a Sphinx document.
+A directive for including a Matplotlib plot in a Sphinx document
+================================================================
 
-By default, in HTML output, `plot` will include a .png file with a
-link to a high-res .png and .pdf.  In LaTeX output, it will include a
-.pdf.
+This is a Sphinx extension providing a reStructuredText directive
+``.. plot::`` for including a plot in a Sphinx document.
 
-The source code for the plot may be included in one of three ways:
+In HTML output, ``.. plot::`` will include a .png file with a link
+to a high-res .png and .pdf.  In LaTeX output, it will include a .pdf.
 
-  1. **A path to a source file** as the argument to the directive::
+The plot content may be defined in one of three ways:
 
-       .. plot:: path/to/plot.py
+1. **A path to a source file** as the argument to the directive::
 
-     When a path to a source file is given, the content of the
-     directive may optionally contain a caption for the plot::
+     .. plot:: path/to/plot.py
 
-       .. plot:: path/to/plot.py
+   When a path to a source file is given, the content of the
+   directive may optionally contain a caption for the plot::
 
-          This is the caption for the plot
+     .. plot:: path/to/plot.py
 
-     Additionally, one my specify the name of a function to call (with
-     no arguments) immediately after importing the module::
+        The plot caption.
 
-       .. plot:: path/to/plot.py plot_function1
+   Additionally, one may specify the name of a function to call (with
+   no arguments) immediately after importing the module::
 
-  2. Included as **inline content** to the directive::
+     .. plot:: path/to/plot.py plot_function1
 
-       .. plot::
+2. Included as **inline content** to the directive::
 
-          import matplotlib.pyplot as plt
-          import matplotlib.image as mpimg
-          import numpy as np
-          img = mpimg.imread('_static/stinkbug.png')
-          imgplot = plt.imshow(img)
+     .. plot::
 
-  3. Using **doctest** syntax::
+        import matplotlib.pyplot as plt
+        plt.plot([1, 2, 3], [4, 5, 6])
+        plt.title("A plotting example")
 
-       .. plot::
-          A plotting example:
-          >>> import matplotlib.pyplot as plt
-          >>> plt.plot([1,2,3], [4,5,6])
+3. Using **doctest** syntax::
+
+     .. plot::
+
+        A plotting example:
+        >>> import matplotlib.pyplot as plt
+        >>> plt.plot([1, 2, 3], [4, 5, 6])
 
 Options
 -------
 
-The ``plot`` directive supports the following options:
+The ``.. plot::`` directive supports the following options:
+
+``:format:`` : {'python', 'doctest'}
+    The format of the input.  If unset, the format is auto-detected.
 
-    format : {'python', 'doctest'}
-        Specify the format of the input
+``:include-source:`` : bool
+    Whether to display the source code. The default can be changed using
+    the ``plot_include_source`` variable in :file:`conf.py` (which itself
+    defaults to False).
 
-    include-source : bool
-        Whether to display the source code. The default can be changed
-        using the `plot_include_source` variable in conf.py
+``:show-source-link:`` : bool
+    Whether to show a link to the source in HTML. The default can be
+    changed using the ``plot_html_show_source_link`` variable in
+    :file:`conf.py` (which itself defaults to True).
 
-    encoding : str
-        If this source file is in a non-UTF8 or non-ASCII encoding,
-        the encoding must be specified using the `:encoding:` option.
-        The encoding will not be inferred using the ``-*- coding -*-``
-        metacomment.
+``:context:`` : bool or str
+    If provided, the code will be run in the context of all previous plot
+    directives for which the ``:context:`` option was specified.  This only
+    applies to inline code plot directives, not those run from files. If
+    the ``:context: reset`` option is specified, the context is reset
+    for this and future plots, and previous figures are closed prior to
+    running the code. ``:context: close-figs`` keeps the context but closes
+    previous figures before running the code.
 
-    context : bool or str
-        If provided, the code will be run in the context of all
-        previous plot directives for which the `:context:` option was
-        specified.  This only applies to inline code plot directives,
-        not those run from files. If the ``:context: reset`` is specified,
-        the context is reset for this and future plots.
+``:nofigs:`` : bool
+    If specified, the code block will be run, but no figures will be
+    inserted.  This is usually useful with the ``:context:`` option.
 
-    nofigs : bool
-        If specified, the code block will be run, but no figures will
-        be inserted.  This is usually useful with the ``:context:``
-        option.
+``:caption:`` : str
+    If specified, the option's argument will be used as a caption for the
+    figure. This overwrites the caption given in the content, when the plot
+    is generated from a file.
 
-Additionally, this directive supports all of the options of the
-`image` directive, except for `target` (since plot will add its own
-target).  These include `alt`, `height`, `width`, `scale`, `align` and
-`class`.
+Additionally, this directive supports all the options of the `image directive
+<https://docutils.sourceforge.io/docs/ref/rst/directives.html#image>`_,
+except for ``:target:`` (since plot will add its own target).  These include
+``:alt:``, ``:height:``, ``:width:``, ``:scale:``, ``:align:`` and ``:class:``.
 
 Configuration options
 ---------------------
 
 The plot directive has the following configuration options:
 
-    plot_include_source
-        Default value for the include-source option
-
-    plot_html_show_source_link
-        Whether to show a link to the source in HTML.
-
-    plot_pre_code
-        Code that should be executed before each plot.
-
-    plot_basedir
-        Base directory, to which ``plot::`` file names are relative
-        to.  (If None or empty, file names are relative to the
-        directory where the file containing the directive is.)
-
-    plot_formats
-        File formats to generate. List of tuples or strings::
-
-            [(suffix, dpi), suffix, ...]
-
-        that determine the file format and the DPI. For entries whose
-        DPI was omitted, sensible defaults are chosen.
-
-    plot_html_show_formats
-        Whether to show links to the files in HTML.
-
-    plot_rcparams
-        A dictionary containing any non-standard rcParams that should
-        be applied before each plot.
-
-    plot_apply_rcparams
-        By default, rcParams are applied when `context` option is not used in
-        a plot directive.  This configuration option overrides this behavior
-        and applies rcParams before each plot.
-
-    plot_working_directory
-        By default, the working directory will be changed to the directory of
-        the example, so the code can get at its data files, if any.  Also its
-        path will be added to `sys.path` so it can import any helper modules
-        sitting beside it.  This configuration option can be used to specify
-        a central directory (also added to `sys.path`) where data files and
-        helper modules for all code are located.
+plot_include_source
+    Default value for the include-source option (default: False).
+
+plot_html_show_source_link
+    Whether to show a link to the source in HTML (default: True).
+
+plot_pre_code
+    Code that should be executed before each plot. If None (the default),
+    it will default to a string containing::
+
+        import numpy as np
+        from matplotlib import pyplot as plt
+
+plot_basedir
+    Base directory, to which ``plot::`` file names are relative to.
+    If None or empty (the default), file names are relative to the
+    directory where the file containing the directive is.
+
+plot_formats
+    File formats to generate (default: ['png', 'hires.png', 'pdf']).
+    List of tuples or strings::
+
+        [(suffix, dpi), suffix, ...]
+
+    that determine the file format and the DPI. For entries whose
+    DPI was omitted, sensible defaults are chosen. When passing from
+    the command line through sphinx_build the list should be passed as
+    suffix:dpi,suffix:dpi, ...
+
+plot_html_show_formats
+    Whether to show links to the files in HTML (default: True).
+
+plot_rcparams
+    A dictionary containing any non-standard rcParams that should
+    be applied before each plot (default: {}).
+
+plot_apply_rcparams
+    By default, rcParams are applied when ``:context:`` option is not used
+    in a plot directive.  If set, this configuration option overrides this
+    behavior and applies rcParams before each plot.
+
+plot_working_directory
+    By default, the working directory will be changed to the directory of
+    the example, so the code can get at its data files, if any.  Also its
+    path will be added to `sys.path` so it can import any helper modules
+    sitting beside it.  This configuration option can be used to specify
+    a central directory (also added to `sys.path`) where data files and
+    helper modules for all code are located.
+
+plot_template
+    Provide a customized template for preparing restructured text.
+
+plot_srcset
+    Allow the srcset image option for responsive image resolutions. List of
+    strings with the multiplicative factors followed by an "x".
+    e.g. ["2.0x", "1.5x"].  "2.0x" will create a png with the default "png"
+    resolution from plot_formats, multiplied by 2. If plot_srcset is
+    specified, the plot directive uses the
+    :doc:`/api/sphinxext_figmpl_directive_api` (instead of the usual figure
+    directive) in the intermediary rst file that is generated.
+    The plot_srcset option is incompatible with *singlehtml* builds, and an
+    error will be raised.
+
+Notes on how it works
+---------------------
 
-    plot_template
-        Provide a customized template for preparing restructured text.
+The plot directive runs the code it is given, either in the source file or the
+code under the directive. The figure created (if any) is saved in the sphinx
+build directory under a subdirectory named ``plot_directive``.  It then creates
+an intermediate rst file that calls a ``.. figure:`` directive (or
+``.. figmpl::`` directive if ``plot_srcset`` is being used) and has links to
+the ``*.png`` files in the ``plot_directive`` directory.  These translations can
+be customized by changing the *plot_template*.  See the source of
+:doc:`/api/sphinxext_plot_directive_api` for the templates defined in *TEMPLATE*
+and *TEMPLATE_SRCSET*.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
 
-import sys, os, shutil, io, re, textwrap
+import contextlib
+import doctest
+from io import StringIO
+import itertools
+import os
 from os.path import relpath
+from pathlib import Path
+import re
+import shutil
+import sys
+import textwrap
 import traceback
 
-if not six.PY3:
-    import cStringIO
-
-from docutils.parsers.rst import directives
+from docutils.parsers.rst import directives, Directive
 from docutils.parsers.rst.directives.images import Image
-align = Image.align
-import sphinx
-
-sphinx_version = sphinx.__version__.split(".")
-# The split is necessary for sphinx beta versions where the string is
-# '6b1'
-sphinx_version = tuple([int(re.split('[^0-9]', x)[0])
-                        for x in sphinx_version[:2]])
-
-try:
-    # Sphinx depends on either Jinja or Jinja2
-    import jinja2
-    def format_template(template, **kw):
-        return jinja2.Template(template).render(**kw)
-except ImportError:
-    import jinja
-    def format_template(template, **kw):
-        return jinja.from_string(template, **kw)
+import jinja2  # Sphinx dependency.
+
+from sphinx.errors import ExtensionError
 
 import matplotlib
-import matplotlib.cbook as cbook
-matplotlib.use('Agg')
+from matplotlib.backend_bases import FigureManagerBase
 import matplotlib.pyplot as plt
-from matplotlib import _pylab_helpers
+from matplotlib import _pylab_helpers, cbook
+
+matplotlib.use("agg")
 
 __version__ = 2
 
-#------------------------------------------------------------------------------
-# Registration hook
-#------------------------------------------------------------------------------
 
-def plot_directive(name, arguments, options, content, lineno,
-                   content_offset, block_text, state, state_machine):
-    return run(arguments, content, options, state_machine, state, lineno)
-plot_directive.__doc__ = __doc__
+# -----------------------------------------------------------------------------
+# Registration hook
+# -----------------------------------------------------------------------------
 
 
 def _option_boolean(arg):
@@ -186,33 +208,25 @@ def _option_boolean(arg):
     elif arg.strip().lower() in ('yes', '1', 'true'):
         return True
     else:
-        raise ValueError('"%s" unknown boolean' % arg)
+        raise ValueError(f'{arg!r} unknown boolean')
 
 
 def _option_context(arg):
-    if arg in [None, 'reset']:
+    if arg in [None, 'reset', 'close-figs']:
         return arg
-    else:
-        raise ValueError("argument should be None or 'reset'")
-    return directives.choice(arg, ('None', 'reset'))
+    raise ValueError("Argument should be None or 'reset' or 'close-figs'")
 
 
 def _option_format(arg):
     return directives.choice(arg, ('python', 'doctest'))
 
 
-def _option_align(arg):
-    return directives.choice(arg, ("top", "middle", "bottom", "left", "center",
-                                   "right"))
-
-
 def mark_plot_labels(app, document):
     """
-    To make plots referenceable, we need to move the reference from
-    the "htmlonly" (or "latexonly") node to the actual figure node
-    itself.
+    To make plots referenceable, we need to move the reference from the
+    "htmlonly" (or "latexonly") node to the actual figure node itself.
     """
-    for name, explicit in six.iteritems(document.nametypes):
+    for name, explicit in document.nametypes.items():
         if not explicit:
             continue
         labelid = document.nameids[name]
@@ -237,25 +251,51 @@ def mark_plot_labels(app, document):
                     break
 
 
+class PlotDirective(Directive):
+    """The ``.. plot::`` directive, as documented in the module's docstring."""
+
+    has_content = True
+    required_arguments = 0
+    optional_arguments = 2
+    final_argument_whitespace = False
+    option_spec = {
+        'alt': directives.unchanged,
+        'height': directives.length_or_unitless,
+        'width': directives.length_or_percentage_or_unitless,
+        'scale': directives.nonnegative_int,
+        'align': Image.align,
+        'class': directives.class_option,
+        'include-source': _option_boolean,
+        'show-source-link': _option_boolean,
+        'format': _option_format,
+        'context': _option_context,
+        'nofigs': directives.flag,
+        'caption': directives.unchanged,
+        }
+
+    def run(self):
+        """Run the plot directive."""
+        try:
+            return run(self.arguments, self.content, self.options,
+                       self.state_machine, self.state, self.lineno)
+        except Exception as e:
+            raise self.error(str(e))
+
+
+def _copy_css_file(app, exc):
+    if exc is None and app.builder.format == 'html':
+        src = cbook._get_data_path('plot_directive/plot_directive.css')
+        dst = app.outdir / Path('_static')
+        dst.mkdir(exist_ok=True)
+        # Use copyfile because we do not want to copy src's permissions.
+        shutil.copyfile(src, dst / Path('plot_directive.css'))
+
+
 def setup(app):
     setup.app = app
     setup.config = app.config
     setup.confdir = app.confdir
-
-    options = {'alt': directives.unchanged,
-               'height': directives.length_or_unitless,
-               'width': directives.length_or_percentage_or_unitless,
-               'scale': directives.nonnegative_int,
-               'align': _option_align,
-               'class': directives.class_option,
-               'include-source': _option_boolean,
-               'format': _option_format,
-               'context': _option_context,
-               'nofigs': directives.flag,
-               'encoding': directives.encoding
-               }
-
-    app.add_directive('plot', plot_directive, True, (0, 2, False), **options)
+    app.add_directive('plot', PlotDirective)
     app.add_config_value('plot_pre_code', None, True)
     app.add_config_value('plot_include_source', False, True)
     app.add_config_value('plot_html_show_source_link', True, True)
@@ -266,12 +306,19 @@ def setup(app):
     app.add_config_value('plot_apply_rcparams', False, True)
     app.add_config_value('plot_working_directory', None, True)
     app.add_config_value('plot_template', None, True)
+    app.add_config_value('plot_srcset', [], True)
+    app.connect('doctree-read', mark_plot_labels)
+    app.add_css_file('plot_directive.css')
+    app.connect('build-finished', _copy_css_file)
+    metadata = {'parallel_read_safe': True, 'parallel_write_safe': True,
+                'version': matplotlib.__version__}
+    return metadata
 
-    app.connect(str('doctree-read'), mark_plot_labels)
 
-#------------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Doctest handling
-#------------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
+
 
 def contains_doctest(text):
     try:
@@ -285,85 +332,99 @@ def contains_doctest(text):
     return bool(m)
 
 
-def unescape_doctest(text):
-    """
-    Extract code from a piece of text, which contains either Python code
-    or doctests.
-
-    """
-    if not contains_doctest(text):
-        return text
-
-    code = ""
-    for line in text.split("\n"):
-        m = re.match(r'^\s*(>>>|\.\.\.) (.*)$', line)
-        if m:
-            code += m.group(2) + "\n"
-        elif line.strip():
-            code += "# " + line.strip() + "\n"
-        else:
-            code += "\n"
-    return code
-
-
-def split_code_at_show(text):
-    """
-    Split code at plt.show()
-
-    """
+def _split_code_at_show(text, function_name):
+    """Split code at plt.show()."""
 
-    parts = []
     is_doctest = contains_doctest(text)
-
-    part = []
-    for line in text.split("\n"):
-        if (not is_doctest and line.strip() == 'plt.show()') or \
-               (is_doctest and line.strip() == '>>> plt.show()'):
-            part.append(line)
+    if function_name is None:
+        parts = []
+        part = []
+        for line in text.split("\n"):
+            if ((not is_doctest and line.startswith('plt.show(')) or
+                   (is_doctest and line.strip() == '>>> plt.show()')):
+                part.append(line)
+                parts.append("\n".join(part))
+                part = []
+            else:
+                part.append(line)
+        if "\n".join(part).strip():
             parts.append("\n".join(part))
-            part = []
-        else:
-            part.append(line)
-    if "\n".join(part).strip():
-        parts.append("\n".join(part))
-    return parts
-
+    else:
+        parts = [text]
+    return is_doctest, parts
 
-def remove_coding(text):
-    """
-    Remove the coding comment, which six.exec_ doesn't like.
-    """
-    return re.sub(
-        "^#\s*-\*-\s*coding:\s*.*-\*-$", "", text, flags=re.MULTILINE)
 
-#------------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Template
-#------------------------------------------------------------------------------
-
+# -----------------------------------------------------------------------------
 
-TEMPLATE = """
+_SOURCECODE = """
 {{ source_code }}
 
-{{ only_html }}
+.. only:: html
 
-   {% if source_link or (html_show_formats and not multi_image) %}
+   {% if src_name or (html_show_formats and not multi_image) %}
    (
-   {%- if source_link -%}
-   `Source code <{{ source_link }}>`__
+   {%- if src_name -%}
+   :download:`Source code <{{ build_dir }}/{{ src_name }}>`
    {%- endif -%}
    {%- if html_show_formats and not multi_image -%}
      {%- for img in images -%}
        {%- for fmt in img.formats -%}
-         {%- if source_link or not loop.first -%}, {% endif -%}
-         `{{ fmt }} <{{ dest_dir }}/{{ img.basename }}.{{ fmt }}>`__
+         {%- if src_name or not loop.first -%}, {% endif -%}
+         :download:`{{ fmt }} <{{ build_dir }}/{{ img.basename }}.{{ fmt }}>`
        {%- endfor -%}
      {%- endfor -%}
    {%- endif -%}
    )
    {% endif %}
+"""
 
+TEMPLATE_SRCSET = _SOURCECODE + """
    {% for img in images %}
-   .. figure:: {{ build_dir }}/{{ img.basename }}.png
+   .. figure-mpl:: {{ build_dir }}/{{ img.basename }}.{{ default_fmt }}
+      {% for option in options -%}
+      {{ option }}
+      {% endfor %}
+      {%- if caption -%}
+      {{ caption }}  {# appropriate leading whitespace added beforehand #}
+      {% endif -%}
+      {%- if srcset -%}
+        :srcset: {{ build_dir }}/{{ img.basename }}.{{ default_fmt }}
+        {%- for sr in srcset -%}
+            , {{ build_dir }}/{{ img.basename }}.{{ sr }}.{{ default_fmt }} {{sr}}
+        {%- endfor -%}
+      {% endif %}
+
+   {% if html_show_formats and multi_image %}
+   (
+    {%- for fmt in img.formats -%}
+    {%- if not loop.first -%}, {% endif -%}
+    :download:`{{ fmt }} <{{ build_dir }}/{{ img.basename }}.{{ fmt }}>`
+    {%- endfor -%}
+   )
+   {% endif %}
+
+
+   {% endfor %}
+
+.. only:: not html
+
+   {% for img in images %}
+   .. figure-mpl:: {{ build_dir }}/{{ img.basename }}.*
+      {% for option in options -%}
+      {{ option }}
+      {% endfor -%}
+
+      {{ caption }}  {# appropriate leading whitespace added beforehand #}
+   {% endfor %}
+
+"""
+
+TEMPLATE = _SOURCECODE + """
+
+   {% for img in images %}
+   .. figure:: {{ build_dir }}/{{ img.basename }}.{{ default_fmt }}
       {% for option in options -%}
       {{ option }}
       {% endfor %}
@@ -372,36 +433,29 @@ def remove_coding(text):
         (
         {%- for fmt in img.formats -%}
         {%- if not loop.first -%}, {% endif -%}
-        `{{ fmt }} <{{ dest_dir }}/{{ img.basename }}.{{ fmt }}>`__
+        :download:`{{ fmt }} <{{ build_dir }}/{{ img.basename }}.{{ fmt }}>`
         {%- endfor -%}
         )
       {%- endif -%}
 
-      {{ caption }}
+      {{ caption }}  {# appropriate leading whitespace added beforehand #}
    {% endfor %}
 
-{{ only_latex }}
+.. only:: not html
 
    {% for img in images %}
-   {% if 'pdf' in img.formats -%}
-   .. image:: {{ build_dir }}/{{ img.basename }}.pdf
-   {% endif -%}
-   {% endfor %}
-
-{{ only_texinfo }}
-
-   {% for img in images %}
-   .. image:: {{ build_dir }}/{{ img.basename }}.png
+   .. figure:: {{ build_dir }}/{{ img.basename }}.*
       {% for option in options -%}
       {{ option }}
-      {% endfor %}
+      {% endfor -%}
 
+      {{ caption }}  {# appropriate leading whitespace added beforehand #}
    {% endfor %}
 
 """
 
 exception_template = """
-.. htmlonly::
+.. only:: html
 
    [`source code <%(linkdir)s/%(basename)s.py>`__]
 
@@ -413,34 +467,47 @@ def remove_coding(text):
 # :context: option
 plot_context = dict()
 
-class ImageFile(object):
+
+class ImageFile:
     def __init__(self, basename, dirname):
         self.basename = basename
         self.dirname = dirname
         self.formats = []
 
     def filename(self, format):
-        return os.path.join(self.dirname, "%s.%s" % (self.basename, format))
+        return os.path.join(self.dirname, f"{self.basename}.{format}")
 
     def filenames(self):
         return [self.filename(fmt) for fmt in self.formats]
 
 
-def out_of_date(original, derived):
+def out_of_date(original, derived, includes=None):
     """
-    Returns True if derivative is out-of-date wrt original,
-    both of which are full file paths.
+    Return whether *derived* is out-of-date relative to *original* or any of
+    the RST files included in it using the RST include directive (*includes*).
+    *derived* and *original* are full paths, and *includes* is optionally a
+    list of full paths which may have been included in the *original*.
     """
-    return (not os.path.exists(derived) or
-            (os.path.exists(original) and
-             os.stat(derived).st_mtime < os.stat(original).st_mtime))
+    if not os.path.exists(derived):
+        return True
+
+    if includes is None:
+        includes = []
+    files_to_check = [original, *includes]
+
+    def out_of_date_one(original, derived_mtime):
+        return (os.path.exists(original) and
+                derived_mtime < os.stat(original).st_mtime)
+
+    derived_mtime = os.stat(derived).st_mtime
+    return any(out_of_date_one(f, derived_mtime) for f in files_to_check)
 
 
 class PlotError(RuntimeError):
     pass
 
 
-def run_code(code, code_path, ns=None, function_name=None):
+def _run_code(code, code_path, ns=None, function_name=None):
     """
     Import a Python module from a path, and run the function given by
     name, if function_name is not None.
@@ -449,70 +516,47 @@ def run_code(code, code_path, ns=None, function_name=None):
     # Change the working directory to the directory of the example, so
     # it can get at its data files, if any.  Add its path to sys.path
     # so it can import any helper modules sitting beside it.
-    if six.PY2:
-        pwd = os.getcwdu()
-    else:
-        pwd = os.getcwd()
-    old_sys_path = list(sys.path)
+    pwd = os.getcwd()
     if setup.config.plot_working_directory is not None:
         try:
             os.chdir(setup.config.plot_working_directory)
         except OSError as err:
-            raise OSError(str(err) + '\n`plot_working_directory` option in'
-                          'Sphinx configuration file must be a valid '
-                          'directory path')
+            raise OSError(f'{err}\n`plot_working_directory` option in '
+                          f'Sphinx configuration file must be a valid '
+                          f'directory path') from err
         except TypeError as err:
-            raise TypeError(str(err) + '\n`plot_working_directory` option in '
-                            'Sphinx configuration file must be a string or '
-                            'None')
-        sys.path.insert(0, setup.config.plot_working_directory)
+            raise TypeError(f'{err}\n`plot_working_directory` option in '
+                            f'Sphinx configuration file must be a string or '
+                            f'None') from err
     elif code_path is not None:
         dirname = os.path.abspath(os.path.dirname(code_path))
         os.chdir(dirname)
-        sys.path.insert(0, dirname)
-
-    # Reset sys.argv
-    old_sys_argv = sys.argv
-    sys.argv = [code_path]
-
-    # Redirect stdout
-    stdout = sys.stdout
-    if six.PY3:
-        sys.stdout = io.StringIO()
-    else:
-        sys.stdout = cStringIO.StringIO()
 
-    # Assign a do-nothing print function to the namespace.  There
-    # doesn't seem to be any other way to provide a way to (not) print
-    # that works correctly across Python 2 and 3.
-    def _dummy_print(*arg, **kwarg):
-        pass
-
-    try:
+    with cbook._setattr_cm(
+            sys, argv=[code_path], path=[os.getcwd(), *sys.path]), \
+            contextlib.redirect_stdout(StringIO()):
         try:
-            code = unescape_doctest(code)
             if ns is None:
                 ns = {}
             if not ns:
                 if setup.config.plot_pre_code is None:
-                    six.exec_(six.text_type("import numpy as np\n" +
-                    "from matplotlib import pyplot as plt\n"), ns)
+                    exec('import numpy as np\n'
+                         'from matplotlib import pyplot as plt\n', ns)
                 else:
-                    six.exec_(six.text_type(setup.config.plot_pre_code), ns)
-            ns['print'] = _dummy_print
+                    exec(str(setup.config.plot_pre_code), ns)
             if "__main__" in code:
-                six.exec_("__name__ = '__main__'", ns)
-            code = remove_coding(code)
-            six.exec_(code, ns)
-            if function_name is not None:
-                six.exec_(function_name + "()", ns)
+                ns['__name__'] = '__main__'
+
+            # Patch out non-interactive show() to avoid triggering a warning.
+            with cbook._setattr_cm(FigureManagerBase, show=lambda self: None):
+                exec(code, ns)
+                if function_name is not None:
+                    exec(function_name + "()", ns)
+
         except (Exception, SystemExit) as err:
-            raise PlotError(traceback.format_exc())
-    finally:
-        os.chdir(pwd)
-        sys.argv = old_sys_argv
-        sys.path[:] = old_sys_path
-        sys.stdout = stdout
+            raise PlotError(traceback.format_exc()) from err
+        finally:
+            os.chdir(pwd)
     return ns
 
 
@@ -523,60 +567,87 @@ def clear_state(plot_rcparams, close=True):
     matplotlib.rcParams.update(plot_rcparams)
 
 
-def render_figures(code, code_path, output_dir, output_base, context,
-                   function_name, config, context_reset=False):
-    """
-    Run a pyplot script and save the low and high res PNGs and a PDF
-    in *output_dir*.
-
-    Save the images under *output_dir* with file names derived from
-    *output_base*
-    """
-    # -- Parse format list
+def get_plot_formats(config):
     default_dpi = {'png': 80, 'hires.png': 200, 'pdf': 200}
     formats = []
     plot_formats = config.plot_formats
-    if isinstance(plot_formats, six.string_types):
-        plot_formats = eval(plot_formats)
     for fmt in plot_formats:
-        if isinstance(fmt, six.string_types):
-            formats.append((fmt, default_dpi.get(fmt, 80)))
-        elif type(fmt) in (tuple, list) and len(fmt)==2:
+        if isinstance(fmt, str):
+            if ':' in fmt:
+                suffix, dpi = fmt.split(':')
+                formats.append((str(suffix), int(dpi)))
+            else:
+                formats.append((fmt, default_dpi.get(fmt, 80)))
+        elif isinstance(fmt, (tuple, list)) and len(fmt) == 2:
             formats.append((str(fmt[0]), int(fmt[1])))
         else:
             raise PlotError('invalid image format "%r" in plot_formats' % fmt)
+    return formats
+
 
-    # -- Try to determine if all images already exist
+def _parse_srcset(entries):
+    """
+    Parse srcset for multiples...
+    """
+    srcset = {}
+    for entry in entries:
+        entry = entry.strip()
+        if len(entry) >= 2:
+            mult = entry[:-1]
+            srcset[float(mult)] = entry
+        else:
+            raise ExtensionError(f'srcset argument {entry!r} is invalid.')
+    return srcset
 
-    code_pieces = split_code_at_show(code)
 
+def render_figures(code, code_path, output_dir, output_base, context,
+                   function_name, config, context_reset=False,
+                   close_figs=False,
+                   code_includes=None):
+    """
+    Run a pyplot script and save the images in *output_dir*.
+
+    Save the images under *output_dir* with file names derived from
+    *output_base*
+    """
+
+    if function_name is not None:
+        output_base = f'{output_base}_{function_name}'
+    formats = get_plot_formats(config)
+
+    # Try to determine if all images already exist
+
+    is_doctest, code_pieces = _split_code_at_show(code, function_name)
     # Look for single-figure output files first
-    all_exists = True
     img = ImageFile(output_base, output_dir)
     for format, dpi in formats:
-        if out_of_date(code_path, img.filename(format)):
+        if context or out_of_date(code_path, img.filename(format),
+                                  includes=code_includes):
             all_exists = False
             break
         img.formats.append(format)
+    else:
+        all_exists = True
 
     if all_exists:
         return [(code, [img])]
 
     # Then look for multi-figure output files
     results = []
-    all_exists = True
     for i, code_piece in enumerate(code_pieces):
         images = []
-        for j in xrange(1000):
+        for j in itertools.count():
             if len(code_pieces) > 1:
-                img = ImageFile('%s_%02d_%02d' % (output_base, i, j), output_dir)
+                img = ImageFile('%s_%02d_%02d' % (output_base, i, j),
+                                output_dir)
             else:
                 img = ImageFile('%s_%02d' % (output_base, j), output_dir)
-            for format, dpi in formats:
-                if out_of_date(code_path, img.filename(format)):
+            for fmt, dpi in formats:
+                if context or out_of_date(code_path, img.filename(fmt),
+                                          includes=code_includes):
                     all_exists = False
                     break
-                img.formats.append(format)
+                img.formats.append(fmt)
 
             # assume that if we have one, we have them all
             if not all_exists:
@@ -586,6 +657,8 @@ def render_figures(code, code_path, output_dir, output_base, context,
         if not all_exists:
             break
         results.append((code_piece, images))
+    else:
+        all_exists = True
 
     if all_exists:
         return results
@@ -593,20 +666,24 @@ def render_figures(code, code_path, output_dir, output_base, context,
     # We didn't find the files, so build them
 
     results = []
-    if context:
-        ns = plot_context
-    else:
-        ns = {}
+    ns = plot_context if context else {}
 
     if context_reset:
         clear_state(config.plot_rcparams)
+        plot_context.clear()
+
+    close_figs = not context or close_figs
 
     for i, code_piece in enumerate(code_pieces):
 
         if not context or config.plot_apply_rcparams:
-            clear_state(config.plot_rcparams, close=not context)
+            clear_state(config.plot_rcparams, close_figs)
+        elif close_figs:
+            plt.close('all')
 
-        run_code(code_piece, code_path, ns, function_name)
+        _run_code(doctest.script_from_examples(code_piece) if is_doctest
+                  else code_piece,
+                  code_path, ns, function_name)
 
         images = []
         fig_managers = _pylab_helpers.Gcf.get_all_fig_managers()
@@ -619,12 +696,21 @@ def render_figures(code, code_path, output_dir, output_base, context,
                 img = ImageFile("%s_%02d_%02d" % (output_base, i, j),
                                 output_dir)
             images.append(img)
-            for format, dpi in formats:
+
+            for fmt, dpi in formats:
                 try:
-                    figman.canvas.figure.savefig(img.filename(format), dpi=dpi)
+                    figman.canvas.figure.savefig(img.filename(fmt), dpi=dpi)
+                    if fmt == formats[0][0] and config.plot_srcset:
+                        # save a 2x, 3x etc version of the default...
+                        srcset = _parse_srcset(config.plot_srcset)
+                        for mult, suffix in srcset.items():
+                            fm = f'{suffix}.{fmt}'
+                            img.formats.append(fm)
+                            figman.canvas.figure.savefig(img.filename(fm),
+                                                         dpi=int(dpi * mult))
                 except Exception as err:
-                    raise PlotError(traceback.format_exc())
-                img.formats.append(format)
+                    raise PlotError(traceback.format_exc()) from err
+                img.formats.append(fmt)
 
         results.append((code_piece, images))
 
@@ -635,17 +721,29 @@ def render_figures(code, code_path, output_dir, output_base, context,
 
 
 def run(arguments, content, options, state_machine, state, lineno):
-    # The user may provide a filename *or* Python code content, but not both
-    if arguments and content:
-        raise RuntimeError("plot:: directive can't have both args and content")
-
     document = state_machine.document
     config = document.settings.env.config
     nofigs = 'nofigs' in options
 
+    if config.plot_srcset and setup.app.builder.name == 'singlehtml':
+        raise ExtensionError(
+            'plot_srcset option not compatible with single HTML writer')
+
+    formats = get_plot_formats(config)
+    default_fmt = formats[0][0]
+
     options.setdefault('include-source', config.plot_include_source)
-    context = 'context' in options
-    context_reset = True if (context and options['context'] == 'reset') else False
+    options.setdefault('show-source-link', config.plot_html_show_source_link)
+
+    if 'class' in options:
+        # classes are parsed into a list of string, and output by simply
+        # printing the list, abusing the fact that RST guarantees to strip
+        # non-conforming characters
+        options['class'] = ['plot-directive'] + options['class']
+    else:
+        options.setdefault('class', ['plot-directive'])
+    keep_context = 'context' in options
+    context_opt = None if not keep_context else options['context']
 
     rst_file = document.attributes['source']
     rst_dir = os.path.dirname(rst_file)
@@ -657,18 +755,26 @@ def run(arguments, content, options, state_machine, state, lineno):
         else:
             source_file_name = os.path.join(setup.confdir, config.plot_basedir,
                                             directives.uri(arguments[0]))
-
         # If there is content, it will be passed as a caption.
         caption = '\n'.join(content)
 
+        # Enforce unambiguous use of captions.
+        if "caption" in options:
+            if caption:
+                raise ValueError(
+                    'Caption specified in both content and options.'
+                    ' Please remove ambiguity.'
+                )
+            # Use caption option
+            caption = options["caption"]
+
         # If the optional function name is provided, use it
         if len(arguments) == 2:
             function_name = arguments[1]
         else:
             function_name = None
 
-        with io.open(source_file_name, 'r', encoding='utf-8') as fd:
-            code = fd.read()
+        code = Path(source_file_name).read_text(encoding='utf-8')
         output_base = os.path.basename(source_file_name)
     else:
         source_file_name = rst_file
@@ -678,7 +784,7 @@ def run(arguments, content, options, state_machine, state, lineno):
         base, ext = os.path.splitext(os.path.basename(source_file_name))
         output_base = '%s-%d.py' % (base, counter)
         function_name = None
-        caption = ''
+        caption = options.get('caption', '')
 
     base, source_ext = os.path.splitext(output_base)
     if source_ext in ('.py', '.rst', '.txt'):
@@ -699,9 +805,7 @@ def run(arguments, content, options, state_machine, state, lineno):
 
     # determine output directory name fragment
     source_rel_name = relpath(source_file_name, setup.confdir)
-    source_rel_dir = os.path.dirname(source_rel_name)
-    while source_rel_dir.startswith(os.path.sep):
-        source_rel_dir = source_rel_dir[1:]
+    source_rel_dir = os.path.dirname(source_rel_name).lstrip(os.path.sep)
 
     # build_dir: where to place output files (temporarily)
     build_dir = os.path.join(os.path.dirname(setup.app.doctreedir),
@@ -711,52 +815,80 @@ def run(arguments, content, options, state_machine, state, lineno):
     # see note in Python docs for warning about symbolic links on Windows.
     # need to compare source and dest paths at end
     build_dir = os.path.normpath(build_dir)
-
-    if not os.path.exists(build_dir):
-        os.makedirs(build_dir)
-
-    # output_dir: final location in the builder's directory
-    dest_dir = os.path.abspath(os.path.join(setup.app.builder.outdir,
-                                            source_rel_dir))
-    if not os.path.exists(dest_dir):
-        os.makedirs(dest_dir) # no problem here for me, but just use built-ins
+    os.makedirs(build_dir, exist_ok=True)
 
     # how to link to files from the RST file
-    dest_dir_link = os.path.join(relpath(setup.confdir, rst_dir),
-                                 source_rel_dir).replace(os.path.sep, '/')
-    build_dir_link = relpath(build_dir, rst_dir).replace(os.path.sep, '/')
-    source_link = dest_dir_link + '/' + output_base + source_ext
+    try:
+        build_dir_link = relpath(build_dir, rst_dir).replace(os.path.sep, '/')
+    except ValueError:
+        # on Windows, relpath raises ValueError when path and start are on
+        # different mounts/drives
+        build_dir_link = build_dir
+
+    # get list of included rst files so that the output is updated when any
+    # plots in the included files change. These attributes are modified by the
+    # include directive (see the docutils.parsers.rst.directives.misc module).
+    try:
+        source_file_includes = [os.path.join(os.getcwd(), t[0])
+                                for t in state.document.include_log]
+    except AttributeError:
+        # the document.include_log attribute only exists in docutils >=0.17,
+        # before that we need to inspect the state machine
+        possible_sources = {os.path.join(setup.confdir, t[0])
+                            for t in state_machine.input_lines.items}
+        source_file_includes = [f for f in possible_sources
+                                if os.path.isfile(f)]
+    # remove the source file itself from the includes
+    try:
+        source_file_includes.remove(source_file_name)
+    except ValueError:
+        pass
+
+    # save script (if necessary)
+    if options['show-source-link']:
+        Path(build_dir, output_base + source_ext).write_text(
+            doctest.script_from_examples(code)
+            if source_file_name == rst_file and is_doctest
+            else code,
+            encoding='utf-8')
 
     # make figures
     try:
-        results = render_figures(code, source_file_name, build_dir, output_base,
-                                 context, function_name, config,
-                                 context_reset=context_reset)
+        results = render_figures(code=code,
+                                 code_path=source_file_name,
+                                 output_dir=build_dir,
+                                 output_base=output_base,
+                                 context=keep_context,
+                                 function_name=function_name,
+                                 config=config,
+                                 context_reset=context_opt == 'reset',
+                                 close_figs=context_opt == 'close-figs',
+                                 code_includes=source_file_includes)
         errors = []
     except PlotError as err:
         reporter = state.memo.reporter
         sm = reporter.system_message(
-            2, "Exception occurred in plotting %s\n from %s:\n%s" % (output_base,
-                                                source_file_name, err),
+            2, "Exception occurred in plotting {}\n from {}:\n{}".format(
+                output_base, source_file_name, err),
             line=lineno)
         results = [(code, [])]
         errors = [sm]
 
     # Properly indent the caption
-    caption = '\n'.join('      ' + line.strip()
-                        for line in caption.split('\n'))
-
+    if caption and config.plot_srcset:
+        caption = ':caption: ' + caption.replace('\n', ' ')
+    elif caption:
+        caption = '\n' + '\n'.join('      ' + line.strip()
+                                   for line in caption.split('\n'))
     # generate output restructuredtext
     total_lines = []
     for j, (code_piece, images) in enumerate(results):
         if options['include-source']:
             if is_doctest:
-                lines = ['']
-                lines += [row.rstrip() for row in code_piece.split('\n')]
+                lines = ['', *code_piece.splitlines()]
             else:
-                lines = ['.. code-block:: python', '']
-                lines += ['    %s' % row.rstrip()
-                          for row in code_piece.split('\n')]
+                lines = ['.. code-block:: python', '',
+                         *textwrap.indent(code_piece, '    ').splitlines()]
             source_code = "\n".join(lines)
         else:
             source_code = ""
@@ -764,59 +896,41 @@ def run(arguments, content, options, state_machine, state, lineno):
         if nofigs:
             images = []
 
-        opts = [':%s: %s' % (key, val) for key, val in six.iteritems(options)
-                if key in ('alt', 'height', 'width', 'scale', 'align', 'class')]
+        if 'alt' in options:
+            options['alt'] = options['alt'].replace('\n', ' ')
 
-        only_html = ".. only:: html"
-        only_latex = ".. only:: latex"
-        only_texinfo = ".. only:: texinfo"
+        opts = [
+            f':{key}: {val}' for key, val in options.items()
+            if key in ('alt', 'height', 'width', 'scale', 'align', 'class')]
 
-        # Not-None src_link signals the need for a source link in the generated
-        # html
-        if j == 0 and config.plot_html_show_source_link:
-            src_link = source_link
+        # Not-None src_name signals the need for a source download in the
+        # generated html
+        if j == 0 and options['show-source-link']:
+            src_name = output_base + source_ext
         else:
-            src_link = None
+            src_name = None
+        if config.plot_srcset:
+            srcset = [*_parse_srcset(config.plot_srcset).values()]
+            template = TEMPLATE_SRCSET
+        else:
+            srcset = None
+            template = TEMPLATE
 
-        result = format_template(
-            config.plot_template or TEMPLATE,
-            dest_dir=dest_dir_link,
+        result = jinja2.Template(config.plot_template or template).render(
+            default_fmt=default_fmt,
             build_dir=build_dir_link,
-            source_link=src_link,
+            src_name=src_name,
             multi_image=len(images) > 1,
-            only_html=only_html,
-            only_latex=only_latex,
-            only_texinfo=only_texinfo,
             options=opts,
+            srcset=srcset,
             images=images,
             source_code=source_code,
-            html_show_formats=config.plot_html_show_formats and not nofigs,
+            html_show_formats=config.plot_html_show_formats and len(images),
             caption=caption)
-
         total_lines.extend(result.split("\n"))
         total_lines.extend("\n")
 
     if total_lines:
         state_machine.insert_input(total_lines, source=source_file_name)
 
-    # copy image files to builder's output directory, if necessary
-    if not os.path.exists(dest_dir):
-        cbook.mkdirs(dest_dir)
-
-    for code_piece, images in results:
-        for img in images:
-            for fn in img.filenames():
-                destimg = os.path.join(dest_dir, os.path.basename(fn))
-                if fn != destimg:
-                    shutil.copyfile(fn, destimg)
-
-    # copy script (if necessary)
-    target_name = os.path.join(dest_dir, output_base + source_ext)
-    with io.open(target_name, 'w', encoding="utf-8") as f:
-        if source_file_name == rst_file:
-            code_escaped = unescape_doctest(code)
-        else:
-            code_escaped = code
-        f.write(code_escaped)
-
     return errors
diff --git a/lib/matplotlib/sphinxext/roles.py b/lib/matplotlib/sphinxext/roles.py
new file mode 100644
index 000000000000..c3e57ebc3aec
--- /dev/null
+++ b/lib/matplotlib/sphinxext/roles.py
@@ -0,0 +1,148 @@
+"""
+Custom roles for the Matplotlib documentation.
+
+.. warning::
+
+    These roles are considered semi-public. They are only intended to be used in
+    the Matplotlib documentation.
+
+However, it can happen that downstream packages end up pulling these roles into
+their documentation, which will result in documentation build errors. The following
+describes the exact mechanism and how to fix the errors.
+
+There are two ways, Matplotlib docstrings can end up in downstream documentation.
+You have to subclass a Matplotlib class and either use the ``:inherited-members:``
+option in your autodoc configuration, or you have to override a method without
+specifying a new docstring; the new method will inherit the original docstring and
+still render in your autodoc. If the docstring contains one of the custom sphinx
+roles, you'll see one of the following error messages:
+
+.. code-block:: none
+
+    Unknown interpreted text role "mpltype".
+    Unknown interpreted text role "rc".
+
+To fix this, you can add this module as extension to your sphinx :file:`conf.py`::
+
+    extensions = [
+        'matplotlib.sphinxext.roles',
+        # Other extensions.
+    ]
+
+.. warning::
+
+    Direct use of these roles in other packages is not officially supported. We
+    reserve the right to modify or remove these roles without prior notification.
+"""
+
+from urllib.parse import urlsplit, urlunsplit
+
+from docutils import nodes
+
+import matplotlib
+from matplotlib import rcParamsDefault
+
+
+class _QueryReference(nodes.Inline, nodes.TextElement):
+    """
+    Wraps a reference or pending reference to add a query string.
+
+    The query string is generated from the attributes added to this node.
+
+    Also equivalent to a `~docutils.nodes.literal` node.
+    """
+
+    def to_query_string(self):
+        """Generate query string from node attributes."""
+        return '&'.join(f'{name}={value}' for name, value in self.attlist())
+
+
+def _visit_query_reference_node(self, node):
+    """
+    Resolve *node* into query strings on its ``reference`` children.
+
+    Then act as if this is a `~docutils.nodes.literal`.
+    """
+    query = node.to_query_string()
+    for refnode in node.findall(nodes.reference):
+        uri = urlsplit(refnode['refuri'])._replace(query=query)
+        refnode['refuri'] = urlunsplit(uri)
+
+    self.visit_literal(node)
+
+
+def _depart_query_reference_node(self, node):
+    """
+    Act as if this is a `~docutils.nodes.literal`.
+    """
+    self.depart_literal(node)
+
+
+def _rcparam_role(name, rawtext, text, lineno, inliner, options=None, content=None):
+    """
+    Sphinx role ``:rc:`` to highlight and link ``rcParams`` entries.
+
+    Usage: Give the desired ``rcParams`` key as parameter.
+
+    :code:`:rc:`figure.dpi`` will render as: :rc:`figure.dpi`
+    """
+    # Generate a pending cross-reference so that Sphinx will ensure this link
+    # isn't broken at some point in the future.
+    title = f'rcParams["{text}"]'
+    target = 'matplotlibrc-sample'
+    ref_nodes, messages = inliner.interpreted(title, f'{title} <{target}>',
+                                              'ref', lineno)
+
+    qr = _QueryReference(rawtext, highlight=text)
+    qr += ref_nodes
+    node_list = [qr]
+
+    # The default backend would be printed as "agg", but that's not correct (as
+    # the default is actually determined by fallback).
+    if text in rcParamsDefault and text != "backend":
+        node_list.extend([
+            nodes.Text(' (default: '),
+            nodes.literal('', repr(rcParamsDefault[text])),
+            nodes.Text(')'),
+            ])
+
+    return node_list, messages
+
+
+def _mpltype_role(name, rawtext, text, lineno, inliner, options=None, content=None):
+    """
+    Sphinx role ``:mpltype:`` for custom matplotlib types.
+
+    In Matplotlib, there are a number of type-like concepts that do not have a
+    direct type representation; example: color. This role allows to properly
+    highlight them in the docs and link to their definition.
+
+    Currently supported values:
+
+    - :code:`:mpltype:`color`` will render as: :mpltype:`color`
+
+    """
+    mpltype = text
+    type_to_link_target = {
+        'color': 'colors_def',
+        'hatch': 'hatch_def',
+    }
+    if mpltype not in type_to_link_target:
+        raise ValueError(f"Unknown mpltype: {mpltype!r}")
+
+    node_list, messages = inliner.interpreted(
+        mpltype, f'{mpltype} <{type_to_link_target[mpltype]}>', 'ref', lineno)
+    return node_list, messages
+
+
+def setup(app):
+    app.add_role("rc", _rcparam_role)
+    app.add_role("mpltype", _mpltype_role)
+    app.add_node(
+        _QueryReference,
+        html=(_visit_query_reference_node, _depart_query_reference_node),
+        latex=(_visit_query_reference_node, _depart_query_reference_node),
+        text=(_visit_query_reference_node, _depart_query_reference_node),
+    )
+    return {"version": matplotlib.__version__,
+            "parallel_read_safe": True, "parallel_write_safe": True}
diff --git a/lib/matplotlib/spines.py b/lib/matplotlib/spines.py
index c60292df2d5a..7e77a393f2a2 100644
--- a/lib/matplotlib/spines.py
+++ b/lib/matplotlib/spines.py
@@ -1,62 +1,63 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from collections.abc import MutableMapping
+import functools
 
-import six
-
-import matplotlib
-rcParams = matplotlib.rcParams
+import numpy as np
 
-import matplotlib.artist as martist
+import matplotlib as mpl
+from matplotlib import _api, _docstring
 from matplotlib.artist import allow_rasterization
-from matplotlib import docstring
 import matplotlib.transforms as mtransforms
-import matplotlib.lines as mlines
 import matplotlib.patches as mpatches
 import matplotlib.path as mpath
-import matplotlib.cbook as cbook
-import numpy as np
-import warnings
 
 
 class Spine(mpatches.Patch):
-    """an axis spine -- the line noting the data area boundaries
+    """
+    An axis spine -- the line noting the data area boundaries.
 
     Spines are the lines connecting the axis tick marks and noting the
     boundaries of the data area. They can be placed at arbitrary
-    positions. See function:`~matplotlib.spines.Spine.set_position`
-    for more information.
+    positions. See `~.Spine.set_position` for more information.
 
-    The default position is ``('outward',0)``.
+    The default position is ``('outward', 0)``.
 
-    Spines are subclasses of class:`~matplotlib.patches.Patch`, and
-    inherit much of their behavior.
+    Spines are subclasses of `.Patch`, and inherit much of their behavior.
 
-    Spines draw a line or a circle, depending if
-    function:`~matplotlib.spines.Spine.set_patch_line` or
-    function:`~matplotlib.spines.Spine.set_patch_circle` has been
-    called. Line-like is the default.
+    Spines draw a line, a circle, or an arc depending on if
+    `~.Spine.set_patch_line`, `~.Spine.set_patch_circle`, or
+    `~.Spine.set_patch_arc` has been called. Line-like is the default.
 
+    For examples see :ref:`spines_examples`.
     """
     def __str__(self):
         return "Spine"
 
-    @docstring.dedent_interpd
+    @_docstring.interpd
     def __init__(self, axes, spine_type, path, **kwargs):
         """
-        - *axes* : the Axes instance containing the spine
-        - *spine_type* : a string specifying the spine type
-        - *path* : the path instance used to draw the spine
-
-        Valid kwargs are:
-        %(Patch)s
+        Parameters
+        ----------
+        axes : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` instance containing the spine.
+        spine_type : str
+            The spine type.
+        path : `~matplotlib.path.Path`
+            The `.Path` instance used to draw the spine.
+
+        Other Parameters
+        ----------------
+        **kwargs
+            Valid keyword arguments are:
+
+            %(Patch:kwdoc)s
         """
-        super(Spine, self).__init__(**kwargs)
+        super().__init__(**kwargs)
         self.axes = axes
-        self.set_figure(self.axes.figure)
+        self.set_figure(self.axes.get_figure(root=False))
         self.spine_type = spine_type
         self.set_facecolor('none')
-        self.set_edgecolor(rcParams['axes.edgecolor'])
-        self.set_linewidth(rcParams['axes.linewidth'])
+        self.set_edgecolor(mpl.rcParams['axes.edgecolor'])
+        self.set_linewidth(mpl.rcParams['axes.linewidth'])
         self.set_capstyle('projecting')
         self.axis = None
 
@@ -64,77 +65,137 @@ def __init__(self, axes, spine_type, path, **kwargs):
         self.set_transform(self.axes.transData)  # default transform
 
         self._bounds = None  # default bounds
-        self._smart_bounds = False
 
         # Defer initial position determination. (Not much support for
         # non-rectangular axes is currently implemented, and this lets
         # them pass through the spines machinery without errors.)
         self._position = None
-        assert isinstance(path, matplotlib.path.Path)
+        _api.check_isinstance(mpath.Path, path=path)
         self._path = path
 
         # To support drawing both linear and circular spines, this
-        # class implements Patch behavior two ways. If
+        # class implements Patch behavior three ways. If
         # self._patch_type == 'line', behave like a mpatches.PathPatch
         # instance. If self._patch_type == 'circle', behave like a
-        # mpatches.Ellipse instance.
+        # mpatches.Ellipse instance. If self._patch_type == 'arc', behave like
+        # a mpatches.Arc instance.
         self._patch_type = 'line'
 
         # Behavior copied from mpatches.Ellipse:
         # Note: This cannot be calculated until this is added to an Axes
         self._patch_transform = mtransforms.IdentityTransform()
 
-    def set_smart_bounds(self, value):
-        """set the spine and associated axis to have smart bounds"""
-        self._smart_bounds = value
-
-        # also set the axis if possible
-        if self.spine_type in ('left', 'right'):
-            self.axes.yaxis.set_smart_bounds(value)
-        elif self.spine_type in ('top', 'bottom'):
-            self.axes.xaxis.set_smart_bounds(value)
-
-    def get_smart_bounds(self):
-        """get whether the spine has smart bounds"""
-        return self._smart_bounds
+    def set_patch_arc(self, center, radius, theta1, theta2):
+        """Set the spine to be arc-like."""
+        self._patch_type = 'arc'
+        self._center = center
+        self._width = radius * 2
+        self._height = radius * 2
+        self._theta1 = theta1
+        self._theta2 = theta2
+        self._path = mpath.Path.arc(theta1, theta2)
+        # arc drawn on axes transform
+        self.set_transform(self.axes.transAxes)
+        self.stale = True
 
     def set_patch_circle(self, center, radius):
-        """set the spine to be circular"""
+        """Set the spine to be circular."""
         self._patch_type = 'circle'
         self._center = center
         self._width = radius * 2
         self._height = radius * 2
-        self._angle = 0
         # circle drawn on axes transform
         self.set_transform(self.axes.transAxes)
+        self.stale = True
 
     def set_patch_line(self):
-        """set the spine to be linear"""
+        """Set the spine to be linear."""
         self._patch_type = 'line'
+        self.stale = True
 
     # Behavior copied from mpatches.Ellipse:
     def _recompute_transform(self):
-        """NOTE: This cannot be called until after this has been added
-                 to an Axes, otherwise unit conversion will fail. This
-                 maxes it very important to call the accessor method and
-                 not directly access the transformation member variable.
         """
-        assert self._patch_type == 'circle'
+        Notes
+        -----
+        This cannot be called until after this has been added to an Axes,
+        otherwise unit conversion will fail. This makes it very important to
+        call the accessor method and not directly access the transformation
+        member variable.
+        """
+        assert self._patch_type in ('arc', 'circle')
         center = (self.convert_xunits(self._center[0]),
                   self.convert_yunits(self._center[1]))
         width = self.convert_xunits(self._width)
         height = self.convert_yunits(self._height)
         self._patch_transform = mtransforms.Affine2D() \
             .scale(width * 0.5, height * 0.5) \
-            .rotate_deg(self._angle) \
             .translate(*center)
 
     def get_patch_transform(self):
-        if self._patch_type == 'circle':
+        if self._patch_type in ('arc', 'circle'):
             self._recompute_transform()
             return self._patch_transform
         else:
-            return super(Spine, self).get_patch_transform()
+            return super().get_patch_transform()
+
+    def get_window_extent(self, renderer=None):
+        """
+        Return the window extent of the spines in display space, including
+        padding for ticks (but not their labels)
+
+        See Also
+        --------
+        matplotlib.axes.Axes.get_tightbbox
+        matplotlib.axes.Axes.get_window_extent
+        """
+        # make sure the location is updated so that transforms etc are correct:
+        self._adjust_location()
+        bb = super().get_window_extent(renderer=renderer)
+        if self.axis is None or not self.axis.get_visible():
+            return bb
+        bboxes = [bb]
+        drawn_ticks = self.axis._update_ticks()
+
+        major_tick = next(iter({*drawn_ticks} & {*self.axis.majorTicks}), None)
+        minor_tick = next(iter({*drawn_ticks} & {*self.axis.minorTicks}), None)
+        for tick in [major_tick, minor_tick]:
+            if tick is None:
+                continue
+            bb0 = bb.frozen()
+            tickl = tick._size
+            tickdir = tick._tickdir
+            if tickdir == 'out':
+                padout = 1
+                padin = 0
+            elif tickdir == 'in':
+                padout = 0
+                padin = 1
+            else:
+                padout = 0.5
+                padin = 0.5
+            dpi = self.get_figure(root=True).dpi
+            padout = padout * tickl / 72 * dpi
+            padin = padin * tickl / 72 * dpi
+
+            if tick.tick1line.get_visible():
+                if self.spine_type == 'left':
+                    bb0.x0 = bb0.x0 - padout
+                    bb0.x1 = bb0.x1 + padin
+                elif self.spine_type == 'bottom':
+                    bb0.y0 = bb0.y0 - padout
+                    bb0.y1 = bb0.y1 + padin
+
+            if tick.tick2line.get_visible():
+                if self.spine_type == 'right':
+                    bb0.x1 = bb0.x1 + padout
+                    bb0.x0 = bb0.x0 - padin
+                elif self.spine_type == 'top':
+                    bb0.y1 = bb0.y1 + padout
+                    bb0.y0 = bb0.y0 - padout
+            bboxes.append(bb0)
+
+        return mtransforms.Bbox.union(bboxes)
 
     def get_path(self):
         return self._path
@@ -146,289 +207,224 @@ def _ensure_position_is_set(self):
             self.set_position(self._position)
 
     def register_axis(self, axis):
-        """register an axis
+        """
+        Register an axis.
 
         An axis should be registered with its corresponding spine from
         the Axes instance. This allows the spine to clear any axis
         properties when needed.
         """
         self.axis = axis
-        if self.axis is not None:
-            self.axis.cla()
+        self.stale = True
 
-    def cla(self):
-        """Clear the current spine"""
-        self._position = None  # clear position
+    def clear(self):
+        """Clear the current spine."""
+        self._clear()
         if self.axis is not None:
-            self.axis.cla()
+            self.axis.clear()
 
-    def is_frame_like(self):
-        """return True if directly on axes frame
+    def _clear(self):
+        """
+        Clear things directly related to the spine.
 
-        This is useful for determining if a spine is the edge of an
-        old style MPL plot. If so, this function will return True.
+        In this way it is possible to avoid clearing the Axis as well when calling
+        from library code where it is known that the Axis is cleared separately.
         """
-        self._ensure_position_is_set()
-        position = self._position
-        if cbook.is_string_like(position):
-            if position == 'center':
-                position = ('axes', 0.5)
-            elif position == 'zero':
-                position = ('data', 0)
-        assert len(position) == 2, "position should be 2-tuple"
-        position_type, amount = position
-        if position_type == 'outward' and amount == 0:
-            return True
-        else:
-            return False
+        self._position = None  # clear position
 
     def _adjust_location(self):
-        """automatically set spine bounds to the view interval"""
+        """Automatically set spine bounds to the view interval."""
 
         if self.spine_type == 'circle':
             return
 
-        if self._bounds is None:
-            if self.spine_type in ('left', 'right'):
-                low, high = self.axes.viewLim.intervaly
-            elif self.spine_type in ('top', 'bottom'):
-                low, high = self.axes.viewLim.intervalx
-            else:
-                raise ValueError('unknown spine spine_type: %s' %
-                                 self.spine_type)
-
-            if self._smart_bounds:
-                # attempt to set bounds in sophisticated way
+        if self._bounds is not None:
+            low, high = self._bounds
+        elif self.spine_type in ('left', 'right'):
+            low, high = self.axes.viewLim.intervaly
+        elif self.spine_type in ('top', 'bottom'):
+            low, high = self.axes.viewLim.intervalx
+        else:
+            raise ValueError(f'unknown spine spine_type: {self.spine_type}')
+
+        if self._patch_type == 'arc':
+            if self.spine_type in ('bottom', 'top'):
+                try:
+                    direction = self.axes.get_theta_direction()
+                except AttributeError:
+                    direction = 1
+                try:
+                    offset = self.axes.get_theta_offset()
+                except AttributeError:
+                    offset = 0
+                low = low * direction + offset
+                high = high * direction + offset
                 if low > high:
-                    # handle inverted limits
                     low, high = high, low
 
-                viewlim_low = low
-                viewlim_high = high
-
-                del low, high
-
-                if self.spine_type in ('left', 'right'):
-                    datalim_low, datalim_high = self.axes.dataLim.intervaly
-                    ticks = self.axes.get_yticks()
-                elif self.spine_type in ('top', 'bottom'):
-                    datalim_low, datalim_high = self.axes.dataLim.intervalx
-                    ticks = self.axes.get_xticks()
-                # handle inverted limits
-                ticks = list(ticks)
-                ticks.sort()
-                ticks = np.array(ticks)
-                if datalim_low > datalim_high:
-                    datalim_low, datalim_high = datalim_high, datalim_low
-
-                if datalim_low < viewlim_low:
-                    # Data extends past view. Clip line to view.
-                    low = viewlim_low
-                else:
-                    # Data ends before view ends.
-                    cond = (ticks <= datalim_low) & (ticks >= viewlim_low)
-                    tickvals = ticks[cond]
-                    if len(tickvals):
-                        # A tick is less than or equal to lowest data point.
-                        low = tickvals[-1]
-                    else:
-                        # No tick is available
-                        low = datalim_low
-                    low = max(low, viewlim_low)
-
-                if datalim_high > viewlim_high:
-                    # Data extends past view. Clip line to view.
-                    high = viewlim_high
-                else:
-                    # Data ends before view ends.
-                    cond = (ticks >= datalim_high) & (ticks <= viewlim_high)
-                    tickvals = ticks[cond]
-                    if len(tickvals):
-                        # A tick is greater than or equal to highest data
-                        # point.
-                        high = tickvals[0]
-                    else:
-                        # No tick is available
-                        high = datalim_high
-                    high = min(high, viewlim_high)
+                self._path = mpath.Path.arc(np.rad2deg(low), np.rad2deg(high))
 
-        else:
-            low, high = self._bounds
+                if self.spine_type == 'bottom':
+                    rmin, rmax = self.axes.viewLim.intervaly
+                    try:
+                        rorigin = self.axes.get_rorigin()
+                    except AttributeError:
+                        rorigin = rmin
+                    scaled_diameter = (rmin - rorigin) / (rmax - rorigin)
+                    self._height = scaled_diameter
+                    self._width = scaled_diameter
 
-        v1 = self._path.vertices
-        assert v1.shape == (2, 2), 'unexpected vertices shape'
-        if self.spine_type in ['left', 'right']:
-            v1[0, 1] = low
-            v1[1, 1] = high
-        elif self.spine_type in ['bottom', 'top']:
-            v1[0, 0] = low
-            v1[1, 0] = high
+            else:
+                raise ValueError('unable to set bounds for spine "%s"' %
+                                 self.spine_type)
         else:
-            raise ValueError('unable to set bounds for spine "%s"' %
-                             self.spine_type)
+            v1 = self._path.vertices
+            assert v1.shape == (2, 2), 'unexpected vertices shape'
+            if self.spine_type in ['left', 'right']:
+                v1[0, 1] = low
+                v1[1, 1] = high
+            elif self.spine_type in ['bottom', 'top']:
+                v1[0, 0] = low
+                v1[1, 0] = high
+            else:
+                raise ValueError('unable to set bounds for spine "%s"' %
+                                 self.spine_type)
 
     @allow_rasterization
     def draw(self, renderer):
         self._adjust_location()
-        return super(Spine, self).draw(renderer)
-
-    def _calc_offset_transform(self):
-        """calculate the offset transform performed by the spine"""
-        self._ensure_position_is_set()
-        position = self._position
-        if cbook.is_string_like(position):
-            if position == 'center':
-                position = ('axes', 0.5)
-            elif position == 'zero':
-                position = ('data', 0)
-        assert len(position) == 2, "position should be 2-tuple"
-        position_type, amount = position
-        assert position_type in ('axes', 'outward', 'data')
-        if position_type == 'outward':
-            if amount == 0:
-                # short circuit commonest case
-                self._spine_transform = ('identity',
-                                         mtransforms.IdentityTransform())
-            elif self.spine_type in ['left', 'right', 'top', 'bottom']:
-                offset_vec = {'left': (-1, 0),
-                              'right': (1, 0),
-                              'bottom': (0, -1),
-                              'top': (0, 1),
-                              }[self.spine_type]
-                # calculate x and y offset in dots
-                offset_x = amount * offset_vec[0] / 72.0
-                offset_y = amount * offset_vec[1] / 72.0
-                self._spine_transform = ('post',
-                                         mtransforms.ScaledTranslation(
-                                             offset_x,
-                                             offset_y,
-                                             self.figure.dpi_scale_trans))
-            else:
-                warnings.warn('unknown spine type "%s": no spine '
-                              'offset performed' % self.spine_type)
-                self._spine_transform = ('identity',
-                                         mtransforms.IdentityTransform())
-        elif position_type == 'axes':
-            if self.spine_type in ('left', 'right'):
-                self._spine_transform = ('pre',
-                                         mtransforms.Affine2D.from_values(
-                                             # keep y unchanged, fix x at
-                                             # amount
-                                             0, 0, 0, 1, amount, 0))
-            elif self.spine_type in ('bottom', 'top'):
-                self._spine_transform = ('pre',
-                                         mtransforms.Affine2D.from_values(
-                                             # keep x unchanged, fix y at
-                                             # amount
-                                             1, 0, 0, 0, 0, amount))
-            else:
-                warnings.warn('unknown spine type "%s": no spine '
-                              'offset performed' % self.spine_type)
-                self._spine_transform = ('identity',
-                                         mtransforms.IdentityTransform())
-        elif position_type == 'data':
-            if self.spine_type in ('right', 'top'):
-                # The right and top spines have a default position of 1 in
-                # axes coordinates.  When specifying the position in data
-                # coordinates, we need to calculate the position relative to 0.
-                amount -= 1
-            if self.spine_type in ('left', 'right'):
-                self._spine_transform = ('data',
-                                         mtransforms.Affine2D().translate(
-                                             amount, 0))
-            elif self.spine_type in ('bottom', 'top'):
-                self._spine_transform = ('data',
-                                         mtransforms.Affine2D().translate(
-                                             0, amount))
-            else:
-                warnings.warn('unknown spine type "%s": no spine '
-                              'offset performed' % self.spine_type)
-                self._spine_transform = ('identity',
-                                         mtransforms.IdentityTransform())
+        ret = super().draw(renderer)
+        self.stale = False
+        return ret
 
     def set_position(self, position):
-        """set the position of the spine
+        """
+        Set the position of the spine.
 
         Spine position is specified by a 2 tuple of (position type,
         amount). The position types are:
 
-        * 'outward' : place the spine out from the data area by the
-          specified number of points. (Negative values specify placing the
-          spine inward.)
-
-        * 'axes' : place the spine at the specified Axes coordinate (from
-          0.0-1.0).
-
-        * 'data' : place the spine at the specified data coordinate.
+        * 'outward': place the spine out from the data area by the specified
+          number of points. (Negative values place the spine inwards.)
+        * 'axes': place the spine at the specified Axes coordinate (0 to 1).
+        * 'data': place the spine at the specified data coordinate.
 
         Additionally, shorthand notations define a special positions:
 
-        * 'center' -> ('axes',0.5)
-        * 'zero' -> ('data', 0.0)
+        * 'center' -> ``('axes', 0.5)``
+        * 'zero' -> ``('data', 0.0)``
 
+        Examples
+        --------
+        :doc:`/gallery/spines/spine_placement_demo`
         """
-        if position in ('center', 'zero'):
-            # special positions
+        if position in ('center', 'zero'):  # special positions
             pass
         else:
-            assert len(position) == 2, "position should be 'center' or 2-tuple"
-            assert position[0] in ['outward', 'axes', 'data']
+            if len(position) != 2:
+                raise ValueError("position should be 'center' or 2-tuple")
+            if position[0] not in ['outward', 'axes', 'data']:
+                raise ValueError("position[0] should be one of 'outward', "
+                                 "'axes', or 'data' ")
         self._position = position
-        self._calc_offset_transform()
-
         self.set_transform(self.get_spine_transform())
-
         if self.axis is not None:
             self.axis.reset_ticks()
+        self.stale = True
 
     def get_position(self):
-        """get the spine position"""
+        """Return the spine position."""
         self._ensure_position_is_set()
         return self._position
 
     def get_spine_transform(self):
-        """get the spine transform"""
+        """Return the spine transform."""
         self._ensure_position_is_set()
-        what, how = self._spine_transform
-
-        if what == 'data':
-            # special case data based spine locations
-            data_xform = self.axes.transScale + \
-                (how + self.axes.transLimits + self.axes.transAxes)
-            if self.spine_type in ['left', 'right']:
-                result = mtransforms.blended_transform_factory(
-                    data_xform, self.axes.transData)
-            elif self.spine_type in ['top', 'bottom']:
-                result = mtransforms.blended_transform_factory(
-                    self.axes.transData, data_xform)
-            else:
-                raise ValueError('unknown spine spine_type: %s' %
-                                 self.spine_type)
-            return result
 
+        position = self._position
+        if isinstance(position, str):
+            if position == 'center':
+                position = ('axes', 0.5)
+            elif position == 'zero':
+                position = ('data', 0)
+        assert len(position) == 2, 'position should be 2-tuple'
+        position_type, amount = position
+        _api.check_in_list(['axes', 'outward', 'data'],
+                           position_type=position_type)
         if self.spine_type in ['left', 'right']:
             base_transform = self.axes.get_yaxis_transform(which='grid')
         elif self.spine_type in ['top', 'bottom']:
             base_transform = self.axes.get_xaxis_transform(which='grid')
         else:
-            raise ValueError('unknown spine spine_type: %s' %
-                             self.spine_type)
-
-        if what == 'identity':
-            return base_transform
-        elif what == 'post':
-            return base_transform + how
-        elif what == 'pre':
-            return how + base_transform
-        else:
-            raise ValueError("unknown spine_transform type: %s" % what)
+            raise ValueError(f'unknown spine spine_type: {self.spine_type!r}')
+
+        if position_type == 'outward':
+            if amount == 0:  # short circuit commonest case
+                return base_transform
+            else:
+                offset_vec = {'left': (-1, 0), 'right': (1, 0),
+                              'bottom': (0, -1), 'top': (0, 1),
+                              }[self.spine_type]
+                # calculate x and y offset in dots
+                offset_dots = amount * np.array(offset_vec) / 72
+                return (base_transform
+                        + mtransforms.ScaledTranslation(
+                            *offset_dots, self.get_figure(root=False).dpi_scale_trans))
+        elif position_type == 'axes':
+            if self.spine_type in ['left', 'right']:
+                # keep y unchanged, fix x at amount
+                return (mtransforms.Affine2D.from_values(0, 0, 0, 1, amount, 0)
+                        + base_transform)
+            elif self.spine_type in ['bottom', 'top']:
+                # keep x unchanged, fix y at amount
+                return (mtransforms.Affine2D.from_values(1, 0, 0, 0, 0, amount)
+                        + base_transform)
+        elif position_type == 'data':
+            if self.spine_type in ('right', 'top'):
+                # The right and top spines have a default position of 1 in
+                # axes coordinates.  When specifying the position in data
+                # coordinates, we need to calculate the position relative to 0.
+                amount -= 1
+            if self.spine_type in ('left', 'right'):
+                return mtransforms.blended_transform_factory(
+                    mtransforms.Affine2D().translate(amount, 0)
+                    + self.axes.transData,
+                    self.axes.transData)
+            elif self.spine_type in ('bottom', 'top'):
+                return mtransforms.blended_transform_factory(
+                    self.axes.transData,
+                    mtransforms.Affine2D().translate(0, amount)
+                    + self.axes.transData)
+
+    def set_bounds(self, low=None, high=None):
+        """
+        Set the spine bounds.
 
-    def set_bounds(self, low, high):
-        """Set the bounds of the spine."""
+        Parameters
+        ----------
+        low : float or None, optional
+            The lower spine bound. Passing *None* leaves the limit unchanged.
+
+            The bounds may also be passed as the tuple (*low*, *high*) as the
+            first positional argument.
+
+            .. ACCEPTS: (low: float, high: float)
+
+        high : float or None, optional
+            The higher spine bound. Passing *None* leaves the limit unchanged.
+        """
         if self.spine_type == 'circle':
             raise ValueError(
                 'set_bounds() method incompatible with circular spines')
+        if high is None and np.iterable(low):
+            low, high = low
+        old_low, old_high = self.get_bounds() or (None, None)
+        if low is None:
+            low = old_low
+        if high is None:
+            high = old_high
         self._bounds = (low, high)
+        self.stale = True
 
     def get_bounds(self):
         """Get the bounds of the spine."""
@@ -436,28 +432,35 @@ def get_bounds(self):
 
     @classmethod
     def linear_spine(cls, axes, spine_type, **kwargs):
-        """
-        (staticmethod) Returns a linear :class:`Spine`.
-        """
-        # all values of 13 get replaced upon call to set_bounds()
+        """Create and return a linear `Spine`."""
+        # all values of 0.999 get replaced upon call to set_bounds()
         if spine_type == 'left':
-            path = mpath.Path([(0.0, 13), (0.0, 13)])
+            path = mpath.Path([(0.0, 0.999), (0.0, 0.999)])
         elif spine_type == 'right':
-            path = mpath.Path([(1.0, 13), (1.0, 13)])
+            path = mpath.Path([(1.0, 0.999), (1.0, 0.999)])
         elif spine_type == 'bottom':
-            path = mpath.Path([(13, 0.0), (13, 0.0)])
+            path = mpath.Path([(0.999, 0.0), (0.999, 0.0)])
         elif spine_type == 'top':
-            path = mpath.Path([(13, 1.0), (13, 1.0)])
+            path = mpath.Path([(0.999, 1.0), (0.999, 1.0)])
         else:
             raise ValueError('unable to make path for spine "%s"' % spine_type)
         result = cls(axes, spine_type, path, **kwargs)
+        result.set_visible(mpl.rcParams[f'axes.spines.{spine_type}'])
+
+        return result
+
+    @classmethod
+    def arc_spine(cls, axes, spine_type, center, radius, theta1, theta2,
+                  **kwargs):
+        """Create and return an arc `Spine`."""
+        path = mpath.Path.arc(theta1, theta2)
+        result = cls(axes, spine_type, path, **kwargs)
+        result.set_patch_arc(center, radius, theta1, theta2)
         return result
 
     @classmethod
     def circular_spine(cls, axes, center, radius, **kwargs):
-        """
-        (staticmethod) Returns a circular :class:`Spine`.
-        """
+        """Create and return a circular `Spine`."""
         path = mpath.Path.unit_circle()
         spine_type = 'circle'
         result = cls(axes, spine_type, path, **kwargs)
@@ -468,13 +471,126 @@ def set_color(self, c):
         """
         Set the edgecolor.
 
-        ACCEPTS: matplotlib color arg or sequence of rgba tuples
+        Parameters
+        ----------
+        c : :mpltype:`color`
 
-        .. seealso::
-
-            :meth:`set_facecolor`, :meth:`set_edgecolor`
-               For setting the edge or face color individually.
+        Notes
+        -----
+        This method does not modify the facecolor (which defaults to "none"),
+        unlike the `.Patch.set_color` method defined in the parent class.  Use
+        `.Patch.set_facecolor` to set the facecolor.
         """
-        # The facecolor of a spine is always 'none' by default -- let
-        # the user change it manually if desired.
         self.set_edgecolor(c)
+        self.stale = True
+
+
+class SpinesProxy:
+    """
+    A proxy to broadcast ``set_*()`` and ``set()`` method calls to contained `.Spines`.
+
+    The proxy cannot be used for any other operations on its members.
+
+    The supported methods are determined dynamically based on the contained
+    spines. If not all spines support a given method, it's executed only on
+    the subset of spines that support it.
+    """
+    def __init__(self, spine_dict):
+        self._spine_dict = spine_dict
+
+    def __getattr__(self, name):
+        broadcast_targets = [spine for spine in self._spine_dict.values()
+                             if hasattr(spine, name)]
+        if (name != 'set' and not name.startswith('set_')) or not broadcast_targets:
+            raise AttributeError(
+                f"'SpinesProxy' object has no attribute '{name}'")
+
+        def x(_targets, _funcname, *args, **kwargs):
+            for spine in _targets:
+                getattr(spine, _funcname)(*args, **kwargs)
+        x = functools.partial(x, broadcast_targets, name)
+        x.__doc__ = broadcast_targets[0].__doc__
+        return x
+
+    def __dir__(self):
+        names = []
+        for spine in self._spine_dict.values():
+            names.extend(name
+                         for name in dir(spine) if name.startswith('set_'))
+        return list(sorted(set(names)))
+
+
+class Spines(MutableMapping):
+    r"""
+    The container of all `.Spine`\s in an Axes.
+
+    The interface is dict-like mapping names (e.g. 'left') to `.Spine` objects.
+    Additionally, it implements some pandas.Series-like features like accessing
+    elements by attribute::
+
+        spines['top'].set_visible(False)
+        spines.top.set_visible(False)
+
+    Multiple spines can be addressed simultaneously by passing a list::
+
+        spines[['top', 'right']].set_visible(False)
+
+    Use an open slice to address all spines::
+
+        spines[:].set_visible(False)
+
+    The latter two indexing methods will return a `SpinesProxy` that broadcasts all
+    ``set_*()`` and ``set()`` calls to its members, but cannot be used for any other
+    operation.
+    """
+    def __init__(self, **kwargs):
+        self._dict = kwargs
+
+    @classmethod
+    def from_dict(cls, d):
+        return cls(**d)
+
+    def __getstate__(self):
+        return self._dict
+
+    def __setstate__(self, state):
+        self.__init__(**state)
+
+    def __getattr__(self, name):
+        try:
+            return self._dict[name]
+        except KeyError:
+            raise AttributeError(
+                f"'Spines' object does not contain a '{name}' spine")
+
+    def __getitem__(self, key):
+        if isinstance(key, list):
+            unknown_keys = [k for k in key if k not in self._dict]
+            if unknown_keys:
+                raise KeyError(', '.join(unknown_keys))
+            return SpinesProxy({k: v for k, v in self._dict.items()
+                                if k in key})
+        if isinstance(key, tuple):
+            raise ValueError('Multiple spines must be passed as a single list')
+        if isinstance(key, slice):
+            if key.start is None and key.stop is None and key.step is None:
+                return SpinesProxy(self._dict)
+            else:
+                raise ValueError(
+                    'Spines does not support slicing except for the fully '
+                    'open slice [:] to access all spines.')
+        return self._dict[key]
+
+    def __setitem__(self, key, value):
+        # TODO: Do we want to deprecate adding spines?
+        self._dict[key] = value
+
+    def __delitem__(self, key):
+        # TODO: Do we want to deprecate deleting spines?
+        del self._dict[key]
+
+    def __iter__(self):
+        return iter(self._dict)
+
+    def __len__(self):
+        return len(self._dict)
diff --git a/lib/matplotlib/spines.pyi b/lib/matplotlib/spines.pyi
new file mode 100644
index 000000000000..ff2a1a40bf94
--- /dev/null
+++ b/lib/matplotlib/spines.pyi
@@ -0,0 +1,83 @@
+from collections.abc import Callable, Iterator, MutableMapping
+from typing import Literal, TypeVar, overload
+
+import matplotlib.patches as mpatches
+from matplotlib.axes import Axes
+from matplotlib.axis import Axis
+from matplotlib.path import Path
+from matplotlib.transforms import Transform
+from matplotlib.typing import ColorType
+
+class Spine(mpatches.Patch):
+    axes: Axes
+    spine_type: str
+    axis: Axis | None
+    def __init__(self, axes: Axes, spine_type: str, path: Path, **kwargs) -> None: ...
+    def set_patch_arc(
+        self, center: tuple[float, float], radius: float, theta1: float, theta2: float
+    ) -> None: ...
+    def set_patch_circle(self, center: tuple[float, float], radius: float) -> None: ...
+    def set_patch_line(self) -> None: ...
+    def get_patch_transform(self) -> Transform: ...
+    def get_path(self) -> Path: ...
+    def register_axis(self, axis: Axis) -> None: ...
+    def clear(self) -> None: ...
+    def set_position(
+        self,
+        position: Literal["center", "zero"]
+        | tuple[Literal["outward", "axes", "data"], float],
+    ) -> None: ...
+    def get_position(
+        self,
+    ) -> Literal["center", "zero"] | tuple[
+        Literal["outward", "axes", "data"], float
+    ]: ...
+    def get_spine_transform(self) -> Transform: ...
+    def set_bounds(self, low: float | None = ..., high: float | None = ...) -> None: ...
+    def get_bounds(self) -> tuple[float, float]: ...
+
+    _T = TypeVar("_T", bound=Spine)
+    @classmethod
+    def linear_spine(
+        cls: type[_T],
+        axes: Axes,
+        spine_type: Literal["left", "right", "bottom", "top"],
+        **kwargs
+    ) -> _T: ...
+    @classmethod
+    def arc_spine(
+        cls: type[_T],
+        axes: Axes,
+        spine_type: Literal["left", "right", "bottom", "top"],
+        center: tuple[float, float],
+        radius: float,
+        theta1: float,
+        theta2: float,
+        **kwargs
+    ) -> _T: ...
+    @classmethod
+    def circular_spine(
+        cls: type[_T], axes: Axes, center: tuple[float, float], radius: float, **kwargs
+    ) -> _T: ...
+    def set_color(self, c: ColorType | None) -> None: ...
+
+class SpinesProxy:
+    def __init__(self, spine_dict: dict[str, Spine]) -> None: ...
+    def __getattr__(self, name: str) -> Callable[..., None]: ...
+    def __dir__(self) -> list[str]: ...
+
+class Spines(MutableMapping[str, Spine]):
+    def __init__(self, **kwargs: Spine) -> None: ...
+    @classmethod
+    def from_dict(cls, d: dict[str, Spine]) -> Spines: ...
+    def __getattr__(self, name: str) -> Spine: ...
+    @overload
+    def __getitem__(self, key: str) -> Spine: ...
+    @overload
+    def __getitem__(self, key: list[str]) -> SpinesProxy: ...
+    @overload
+    def __getitem__(self, key: slice) -> SpinesProxy: ...
+    def __setitem__(self, key: str, value: Spine) -> None: ...
+    def __delitem__(self, key: str) -> None: ...
+    def __iter__(self) -> Iterator[str]: ...
+    def __len__(self) -> int: ...
diff --git a/lib/matplotlib/stackplot.py b/lib/matplotlib/stackplot.py
index b42ca98702b4..bd11558b0da9 100644
--- a/lib/matplotlib/stackplot.py
+++ b/lib/matplotlib/stackplot.py
@@ -1,75 +1,104 @@
 """
 Stacked area plot for 1D arrays inspired by Douglas Y'barbo's stackoverflow
 answer:
-http://stackoverflow.com/questions/2225995/how-can-i-create-stacked-line-graph-with-matplotlib
-
-(http://stackoverflow.com/users/66549/doug)
+https://stackoverflow.com/q/2225995/
 
+(https://stackoverflow.com/users/66549/doug)
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import xrange
+import itertools
 
 import numpy as np
 
-__all__ = ['stackplot']
-
-
-def stackplot(axes, x, *args, **kwargs):
-    """Draws a stacked area plot.
-
-    *x* : 1d array of dimension N
-
-    *y* : 2d array of dimension MxN, OR any number 1d arrays each of dimension
-          1xN. The data is assumed to be unstacked. Each of the following
-          calls is legal::
-
-            stackplot(x, y)               # where y is MxN
-            stackplot(x, y1, y2, y3, y4)  # where y1, y2, y3, y4, are all 1xNm
-
-    Keyword arguments:
-
-    *baseline* : ['zero', 'sym', 'wiggle', 'weighted_wiggle']
-                Method used to calculate the baseline. 'zero' is just a
-                simple stacked plot. 'sym' is symmetric around zero and
-                is sometimes called `ThemeRiver`.  'wiggle' minimizes the
-                sum of the squared slopes. 'weighted_wiggle' does the
-                same but weights to account for size of each layer.
-                It is also called `Streamgraph`-layout. More details
-                can be found at http://www.leebyron.com/else/streamgraph/.
-
-
-    *labels* : A list or tuple of labels to assign to each data series.
+from matplotlib import _api
 
+__all__ = ['stackplot']
 
-    *colors* : A list or tuple of colors. These will be cycled through and
-               used to colour the stacked areas.
-               All other keyword arguments are passed to
-               :func:`~matplotlib.Axes.fill_between`
 
-    Returns *r* : A list of
-    :class:`~matplotlib.collections.PolyCollection`, one for each
-    element in the stacked area plot.
+def stackplot(axes, x, *args,
+              labels=(), colors=None, hatch=None, baseline='zero',
+              **kwargs):
+    """
+    Draw a stacked area plot or a streamgraph.
+
+    Parameters
+    ----------
+    x : (N,) array-like
+
+    y : (M, N) array-like
+        The data can be either stacked or unstacked. Each of the following
+        calls is legal::
+
+            stackplot(x, y)  # where y has shape (M, N) e.g. y = [y1, y2, y3, y4]
+            stackplot(x, y1, y2, y3, y4)  # where y1, y2, y3, y4 have length N
+
+    baseline : {'zero', 'sym', 'wiggle', 'weighted_wiggle'}
+        Method used to calculate the baseline:
+
+        - ``'zero'``: Constant zero baseline, i.e. a simple stacked plot.
+        - ``'sym'``:  Symmetric around zero and is sometimes called
+          'ThemeRiver'.
+        - ``'wiggle'``: Minimizes the sum of the squared slopes.
+        - ``'weighted_wiggle'``: Does the same but weights to account for
+          size of each layer. It is also called 'Streamgraph'-layout. More
+          details can be found at http://leebyron.com/streamgraph/.
+
+    labels : list of str, optional
+        A sequence of labels to assign to each data series. If unspecified,
+        then no labels will be applied to artists.
+
+    colors : list of :mpltype:`color`, optional
+        A sequence of colors to be cycled through and used to color the stacked
+        areas. The sequence need not be exactly the same length as the number
+        of provided *y*, in which case the colors will repeat from the
+        beginning.
+
+        If not specified, the colors from the Axes property cycle will be used.
+
+    hatch : list of str, default: None
+        A sequence of hatching styles.  See
+        :doc:`/gallery/shapes_and_collections/hatch_style_reference`.
+        The sequence will be cycled through for filling the
+        stacked areas from bottom to top.
+        It need not be exactly the same length as the number
+        of provided *y*, in which case the styles will repeat from the
+        beginning.
+
+        .. versionadded:: 3.9
+           Support for list input
+
+    data : indexable object, optional
+        DATA_PARAMETER_PLACEHOLDER
+
+    **kwargs
+        All other keyword arguments are passed to `.Axes.fill_between`.
+
+    Returns
+    -------
+    list of `.PolyCollection`
+        A list of `.PolyCollection` instances, one for each element in the
+        stacked area plot.
     """
 
-    if len(args) == 1:
-        y = np.atleast_2d(*args)
-    elif len(args) > 1:
-        y = np.row_stack(args)
-
-    labels = iter(kwargs.pop('labels', []))
+    y = np.vstack(args)
 
-    colors = kwargs.pop('colors', None)
+    labels = iter(labels)
     if colors is not None:
-        axes.set_color_cycle(colors)
+        colors = itertools.cycle(colors)
+    else:
+        colors = (axes._get_lines.get_next_color() for _ in y)
+
+    if hatch is None or isinstance(hatch, str):
+        hatch = itertools.cycle([hatch])
+    else:
+        hatch = itertools.cycle(hatch)
 
-    baseline = kwargs.pop('baseline', 'zero')
     # Assume data passed has not been 'stacked', so stack it here.
-    stack = np.cumsum(y, axis=0)
+    # We'll need a float buffer for the upcoming calculations.
+    stack = np.cumsum(y, axis=0, dtype=np.promote_types(y.dtype, np.float32))
 
-    r = []
+    _api.check_in_list(['zero', 'sym', 'wiggle', 'weighted_wiggle'],
+                       baseline=baseline)
     if baseline == 'zero':
         first_line = 0.
 
@@ -79,39 +108,40 @@ def stackplot(axes, x, *args, **kwargs):
 
     elif baseline == 'wiggle':
         m = y.shape[0]
-        first_line = (y * (m - 0.5 - np.arange(0, m)[:, None])).sum(0)
+        first_line = (y * (m - 0.5 - np.arange(m)[:, None])).sum(0)
         first_line /= -m
         stack += first_line
 
     elif baseline == 'weighted_wiggle':
-        m, n = y.shape
-        center = np.zeros(n)
         total = np.sum(y, 0)
+        # multiply by 1/total (or zero) to avoid infinities in the division:
+        inv_total = np.zeros_like(total)
+        mask = total > 0
+        inv_total[mask] = 1.0 / total[mask]
         increase = np.hstack((y[:, 0:1], np.diff(y)))
         below_size = total - stack
         below_size += 0.5 * y
-        move_up = below_size / total
+        move_up = below_size * inv_total
         move_up[:, 0] = 0.5
         center = (move_up - 0.5) * increase
         center = np.cumsum(center.sum(0))
         first_line = center - 0.5 * total
         stack += first_line
-    else:
-        errstr = "Baseline method %s not recognised. " % baseline
-        errstr += "Expected 'zero', 'sym', 'wiggle' or 'weighted_wiggle'"
-        raise ValueError(errstr)
 
     # Color between x = 0 and the first array.
-    r.append(axes.fill_between(x, first_line, stack[0, :],
-                               facecolor=six.next(axes._get_lines.color_cycle),
-                               label= six.next(labels, None),
-                               **kwargs))
+    coll = axes.fill_between(x, first_line, stack[0, :],
+                             facecolor=next(colors),
+                             hatch=next(hatch),
+                             label=next(labels, None),
+                             **kwargs)
+    coll.sticky_edges.y[:] = [0]
+    r = [coll]
 
     # Color between array i-1 and array i
-    for i in xrange(len(y) - 1):
-        color = six.next(axes._get_lines.color_cycle)
+    for i in range(len(y) - 1):
         r.append(axes.fill_between(x, stack[i, :], stack[i + 1, :],
-                                   facecolor= color,
-                                   label= six.next(labels, None),
+                                   facecolor=next(colors),
+                                   hatch=next(hatch),
+                                   label=next(labels, None),
                                    **kwargs))
     return r
diff --git a/lib/matplotlib/stackplot.pyi b/lib/matplotlib/stackplot.pyi
new file mode 100644
index 000000000000..9509f858a4bf
--- /dev/null
+++ b/lib/matplotlib/stackplot.pyi
@@ -0,0 +1,20 @@
+from matplotlib.axes import Axes
+from matplotlib.collections import PolyCollection
+
+from collections.abc import Iterable
+from typing import Literal
+from numpy.typing import ArrayLike
+from matplotlib.typing import ColorType
+
+def stackplot(
+    axes: Axes,
+    x: ArrayLike,
+    *args: ArrayLike,
+    labels: Iterable[str] = ...,
+    colors: Iterable[ColorType] | None = ...,
+    hatch: Iterable[str] | str | None = ...,
+    baseline: Literal["zero", "sym", "wiggle", "weighted_wiggle"] = ...,
+    **kwargs
+) -> list[PolyCollection]: ...
+
+__all__ = ['stackplot']
diff --git a/lib/matplotlib/streamplot.py b/lib/matplotlib/streamplot.py
index 1bfacdb70339..ece8bebf8192 100644
--- a/lib/matplotlib/streamplot.py
+++ b/lib/matplotlib/streamplot.py
@@ -2,18 +2,14 @@
 Streamline plotting for 2D vector fields.
 
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
 
 import numpy as np
-import matplotlib
-import matplotlib.cm as cm
+
+import matplotlib as mpl
+from matplotlib import _api, cm, patches
 import matplotlib.colors as mcolors
 import matplotlib.collections as mcollections
-import matplotlib.patches as patches
+import matplotlib.lines as mlines
 
 
 __all__ = ['streamplot']
@@ -21,84 +17,156 @@
 
 def streamplot(axes, x, y, u, v, density=1, linewidth=None, color=None,
                cmap=None, norm=None, arrowsize=1, arrowstyle='-|>',
-               minlength=0.1, transform=None, zorder=1):
-    """Draws streamlines of a vector flow.
-
-    *x*, *y* : 1d arrays
-        an *evenly spaced* grid.
-    *u*, *v* : 2d arrays
-        x and y-velocities. Number of rows should match length of y, and
-        the number of columns should match x.
-    *density* : float or 2-tuple
-        Controls the closeness of streamlines. When `density = 1`, the domain
-        is divided into a 30x30 grid---*density* linearly scales this grid.
+               minlength=0.1, transform=None, zorder=None, start_points=None,
+               maxlength=4.0, integration_direction='both',
+               broken_streamlines=True, *, integration_max_step_scale=1.0,
+               integration_max_error_scale=1.0, num_arrows=1):
+    """
+    Draw streamlines of a vector flow.
+
+    Parameters
+    ----------
+    x, y : 1D/2D arrays
+        Evenly spaced strictly increasing arrays to make a grid.  If 2D, all
+        rows of *x* must be equal and all columns of *y* must be equal; i.e.,
+        they must be as if generated by ``np.meshgrid(x_1d, y_1d)``.
+    u, v : 2D arrays
+        *x* and *y*-velocities. The number of rows and columns must match
+        the length of *y* and *x*, respectively.
+    density : float or (float, float)
+        Controls the closeness of streamlines. When ``density = 1``, the domain
+        is divided into a 30x30 grid. *density* linearly scales this grid.
         Each cell in the grid can have, at most, one traversing streamline.
-        For different densities in each direction, use [density_x, density_y].
-    *linewidth* : numeric or 2d array
-        vary linewidth when given a 2d array with the same shape as velocities.
-    *color* : matplotlib color code, or 2d array
-        Streamline color. When given an array with the same shape as
-        velocities, *color* values are converted to colors using *cmap*.
-    *cmap* : :class:`~matplotlib.colors.Colormap`
-        Colormap used to plot streamlines and arrows. Only necessary when using
-        an array input for *color*.
-    *norm* : :class:`~matplotlib.colors.Normalize`
-        Normalize object used to scale luminance data to 0, 1. If None, stretch
-        (min, max) to (0, 1). Only necessary when *color* is an array.
-    *arrowsize* : float
-        Factor scale arrow size.
-    *arrowstyle* : str
+        For different densities in each direction, use a tuple
+        (density_x, density_y).
+    linewidth : float or 2D array
+        The width of the streamlines. With a 2D array the line width can be
+        varied across the grid. The array must have the same shape as *u*
+        and *v*.
+    color : :mpltype:`color` or 2D array
+        The streamline color. If given an array, its values are converted to
+        colors using *cmap* and *norm*.  The array must have the same shape
+        as *u* and *v*.
+    cmap, norm
+        Data normalization and colormapping parameters for *color*; only used
+        if *color* is an array of floats. See `~.Axes.imshow` for a detailed
+        description.
+    arrowsize : float
+        Scaling factor for the arrow size.
+    arrowstyle : str
         Arrow style specification.
-        See :class:`~matplotlib.patches.FancyArrowPatch`.
-    *minlength* : float
+        See `~matplotlib.patches.FancyArrowPatch`.
+    minlength : float
         Minimum length of streamline in axes coordinates.
-    *zorder* : int
-        any number
-
-    Returns:
-
-        *stream_container* : StreamplotSet
-            Container object with attributes
-
-                - lines: `matplotlib.collections.LineCollection` of streamlines
-
-                - arrows: collection of `matplotlib.patches.FancyArrowPatch`
-                  objects representing arrows half-way along stream
-                  lines.
-
-            This container will probably change in the future to allow changes
-            to the colormap, alpha, etc. for both lines and arrows, but these
-            changes should be backward compatible.
-
+    start_points : (N, 2) array
+        Coordinates of starting points for the streamlines in data coordinates
+        (the same coordinates as the *x* and *y* arrays).
+    zorder : float
+        The zorder of the streamlines and arrows.
+        Artists with lower zorder values are drawn first.
+    maxlength : float
+        Maximum length of streamline in axes coordinates.
+    integration_direction : {'forward', 'backward', 'both'}, default: 'both'
+        Integrate the streamline in forward, backward or both directions.
+    data : indexable object, optional
+        DATA_PARAMETER_PLACEHOLDER
+    broken_streamlines : boolean, default: True
+        If False, forces streamlines to continue until they
+        leave the plot domain.  If True, they may be terminated if they
+        come too close to another streamline.
+    integration_max_step_scale : float, default: 1.0
+        Multiplier on the maximum allowable step in the streamline integration routine.
+        A value between zero and one results in a max integration step smaller than
+        the default max step, resulting in more accurate streamlines at the cost
+        of greater computation time; a value greater than one does the converse. Must be
+        greater than zero.
+
+        .. versionadded:: 3.11
+
+    integration_max_error_scale : float, default: 1.0
+        Multiplier on the maximum allowable error in the streamline integration routine.
+        A value between zero and one results in a tighter max integration error than
+        the default max error, resulting in more accurate streamlines at the cost
+        of greater computation time; a value greater than one does the converse. Must be
+        greater than zero.
+
+        .. versionadded:: 3.11
+
+    num_arrows : int
+        Number of arrows per streamline. The arrows are spaced equally along the steps
+        each streamline takes. Note that this can be different to being spaced equally
+        along the distance of the streamline.
+
+
+    Returns
+    -------
+    StreamplotSet
+        Container object with attributes
+
+        - ``lines``: `.LineCollection` of streamlines
+
+        - ``arrows``: `.PatchCollection` containing `.FancyArrowPatch`
+          objects representing the arrows half-way along streamlines.
+
+        This container will probably change in the future to allow changes
+        to the colormap, alpha, etc. for both lines and arrows, but these
+        changes should be backward compatible.
     """
     grid = Grid(x, y)
     mask = StreamMask(density)
     dmap = DomainMap(grid, mask)
 
+    if integration_max_step_scale <= 0.0:
+        raise ValueError(
+            "The value of integration_max_step_scale must be > 0, " +
+            f"got {integration_max_step_scale}"
+        )
+
+    if integration_max_error_scale <= 0.0:
+        raise ValueError(
+            "The value of integration_max_error_scale must be > 0, " +
+            f"got {integration_max_error_scale}"
+        )
+
+    if num_arrows < 0:
+        raise ValueError(f"The value of num_arrows must be >= 0, got {num_arrows=}")
+
+    if zorder is None:
+        zorder = mlines.Line2D.zorder
+
     # default to data coordinates
     if transform is None:
         transform = axes.transData
 
     if color is None:
-        color = six.next(axes._get_lines.color_cycle)
+        color = axes._get_lines.get_next_color()
 
-    if linewidth is None:
-        linewidth = matplotlib.rcParams['lines.linewidth']
+    linewidth = mpl._val_or_rc(linewidth, 'lines.linewidth')
 
     line_kw = {}
     arrow_kw = dict(arrowstyle=arrowstyle, mutation_scale=10 * arrowsize)
 
+    _api.check_in_list(['both', 'forward', 'backward'],
+                       integration_direction=integration_direction)
+
+    if integration_direction == 'both':
+        maxlength /= 2.
+
     use_multicolor_lines = isinstance(color, np.ndarray)
     if use_multicolor_lines:
-        assert color.shape == grid.shape
-        line_colors = []
+        if color.shape != grid.shape:
+            raise ValueError("If 'color' is given, it must match the shape of "
+                             "the (x, y) grid")
+        line_colors = [[]]  # Empty entry allows concatenation of zero arrays.
         color = np.ma.masked_invalid(color)
     else:
         line_kw['color'] = color
         arrow_kw['color'] = color
 
     if isinstance(linewidth, np.ndarray):
-        assert linewidth.shape == grid.shape
+        if linewidth.shape != grid.shape:
+            raise ValueError("If 'linewidth' is given, it must match the "
+                             "shape of the (x, y) grid")
         line_kw['linewidth'] = []
     else:
         line_kw['linewidth'] = linewidth
@@ -107,93 +175,137 @@ def streamplot(axes, x, y, u, v, density=1, linewidth=None, color=None,
     line_kw['zorder'] = zorder
     arrow_kw['zorder'] = zorder
 
-    ## Sanity checks.
-    assert u.shape == grid.shape
-    assert v.shape == grid.shape
+    # Sanity checks.
+    if u.shape != grid.shape or v.shape != grid.shape:
+        raise ValueError("'u' and 'v' must match the shape of the (x, y) grid")
 
     u = np.ma.masked_invalid(u)
     v = np.ma.masked_invalid(v)
 
-    integrate = get_integrator(u, v, dmap, minlength)
+    integrate = _get_integrator(u, v, dmap, minlength, maxlength,
+                                integration_direction)
 
     trajectories = []
-    for xm, ym in _gen_starting_points(mask.shape):
-        if mask[ym, xm] == 0:
-            xg, yg = dmap.mask2grid(xm, ym)
-            t = integrate(xg, yg)
+    if start_points is None:
+        for xm, ym in _gen_starting_points(mask.shape):
+            if mask[ym, xm] == 0:
+                xg, yg = dmap.mask2grid(xm, ym)
+                t = integrate(xg, yg, broken_streamlines,
+                              integration_max_step_scale,
+                              integration_max_error_scale)
+                if t is not None:
+                    trajectories.append(t)
+    else:
+        sp2 = np.asanyarray(start_points, dtype=float).copy()
+
+        # Check if start_points are outside the data boundaries
+        for xs, ys in sp2:
+            if not (grid.x_origin <= xs <= grid.x_origin + grid.width and
+                    grid.y_origin <= ys <= grid.y_origin + grid.height):
+                raise ValueError(f"Starting point ({xs}, {ys}) outside of "
+                                 "data boundaries")
+
+        # Convert start_points from data to array coords
+        # Shift the seed points from the bottom left of the data so that
+        # data2grid works properly.
+        sp2[:, 0] -= grid.x_origin
+        sp2[:, 1] -= grid.y_origin
+
+        for xs, ys in sp2:
+            xg, yg = dmap.data2grid(xs, ys)
+            # Floating point issues can cause xg, yg to be slightly out of
+            # bounds for xs, ys on the upper boundaries. Because we have
+            # already checked that the starting points are within the original
+            # grid, clip the xg, yg to the grid to work around this issue
+            xg = np.clip(xg, 0, grid.nx - 1)
+            yg = np.clip(yg, 0, grid.ny - 1)
+
+            t = integrate(xg, yg, broken_streamlines, integration_max_step_scale,
+                          integration_max_error_scale)
             if t is not None:
                 trajectories.append(t)
 
     if use_multicolor_lines:
         if norm is None:
             norm = mcolors.Normalize(color.min(), color.max())
-        if cmap is None:
-            cmap = cm.get_cmap(matplotlib.rcParams['image.cmap'])
-        else:
-            cmap = cm.get_cmap(cmap)
+        cmap = cm._ensure_cmap(cmap)
 
     streamlines = []
     arrows = []
     for t in trajectories:
-        tgx = np.array(t[0])
-        tgy = np.array(t[1])
+        tgx, tgy = t.T
         # Rescale from grid-coordinates to data-coordinates.
-        tx = np.array(t[0]) * grid.dx + grid.x_origin
-        ty = np.array(t[1]) * grid.dy + grid.y_origin
-
-        points = np.transpose([tx, ty]).reshape(-1, 1, 2)
-        streamlines.extend(np.hstack([points[:-1], points[1:]]))
-
-        # Add arrows half way along each trajectory.
-        s = np.cumsum(np.sqrt(np.diff(tx) ** 2 + np.diff(ty) ** 2))
-        n = np.searchsorted(s, s[-1] / 2.)
-        arrow_tail = (tx[n], ty[n])
-        arrow_head = (np.mean(tx[n:n + 2]), np.mean(ty[n:n + 2]))
+        tx, ty = dmap.grid2data(tgx, tgy)
+        tx += grid.x_origin
+        ty += grid.y_origin
+
+        # Create multiple tiny segments if varying width or color is given
+        if isinstance(linewidth, np.ndarray) or use_multicolor_lines:
+            points = np.transpose([tx, ty]).reshape(-1, 1, 2)
+            streamlines.extend(np.hstack([points[:-1], points[1:]]))
+        else:
+            points = np.transpose([tx, ty])
+            streamlines.append(points)
 
+        # Distance along streamline
+        s = np.cumsum(np.hypot(np.diff(tx), np.diff(ty)))
         if isinstance(linewidth, np.ndarray):
             line_widths = interpgrid(linewidth, tgx, tgy)[:-1]
             line_kw['linewidth'].extend(line_widths)
-            arrow_kw['linewidth'] = line_widths[n]
-
         if use_multicolor_lines:
             color_values = interpgrid(color, tgx, tgy)[:-1]
             line_colors.append(color_values)
-            arrow_kw['color'] = cmap(norm(color_values[n]))
 
-        p = patches.FancyArrowPatch(arrow_tail,
-                                    arrow_head,
-                                    transform=transform,
-                                    **arrow_kw)
-        axes.add_patch(p)
-        arrows.append(p)
+        # Add arrows along each trajectory.
+        for x in range(1, num_arrows+1):
+            # Get index of distance along streamline to place arrow
+            idx = np.searchsorted(s, s[-1] * (x/(num_arrows+1)))
+            arrow_tail = (tx[idx], ty[idx])
+            arrow_head = (np.mean(tx[idx:idx + 2]), np.mean(ty[idx:idx + 2]))
+
+            if isinstance(linewidth, np.ndarray):
+                arrow_kw['linewidth'] = line_widths[idx]
 
-    lc = mcollections.LineCollection(streamlines,
-                                     transform=transform,
-                                     **line_kw)
+            if use_multicolor_lines:
+                arrow_kw['color'] = cmap(norm(color_values[idx]))
+
+            p = patches.FancyArrowPatch(
+                arrow_tail, arrow_head, transform=transform, **arrow_kw)
+            arrows.append(p)
+
+    lc = mcollections.LineCollection(
+        streamlines, transform=transform, **line_kw)
+    lc.sticky_edges.x[:] = [grid.x_origin, grid.x_origin + grid.width]
+    lc.sticky_edges.y[:] = [grid.y_origin, grid.y_origin + grid.height]
     if use_multicolor_lines:
         lc.set_array(np.ma.hstack(line_colors))
         lc.set_cmap(cmap)
         lc.set_norm(norm)
     axes.add_collection(lc)
-    axes.autoscale_view()
 
-    ac = matplotlib.collections.PatchCollection(arrows)
+    ac = mcollections.PatchCollection(arrows)
+    # Adding the collection itself is broken; see #2341.
+    for p in arrows:
+        axes.add_patch(p)
+
+    axes.autoscale_view()
     stream_container = StreamplotSet(lc, ac)
     return stream_container
 
 
-class StreamplotSet(object):
+class StreamplotSet:
 
-    def __init__(self, lines, arrows, **kwargs):
+    def __init__(self, lines, arrows):
         self.lines = lines
         self.arrows = arrows
 
 
 # Coordinate definitions
-#========================
+# ========================
 
-class DomainMap(object):
-    """Map representing different coordinate systems.
+class DomainMap:
+    """
+    Map representing different coordinate systems.
 
     Coordinate definitions:
 
@@ -213,20 +325,19 @@ class DomainMap(object):
     def __init__(self, grid, mask):
         self.grid = grid
         self.mask = mask
-        ## Constants for conversion between grid- and mask-coordinates
-        self.x_grid2mask = float(mask.nx - 1) / grid.nx
-        self.y_grid2mask = float(mask.ny - 1) / grid.ny
+        # Constants for conversion between grid- and mask-coordinates
+        self.x_grid2mask = (mask.nx - 1) / (grid.nx - 1)
+        self.y_grid2mask = (mask.ny - 1) / (grid.ny - 1)
 
         self.x_mask2grid = 1. / self.x_grid2mask
         self.y_mask2grid = 1. / self.y_grid2mask
 
-        self.x_data2grid = grid.nx / grid.width
-        self.y_data2grid = grid.ny / grid.height
+        self.x_data2grid = 1. / grid.dx
+        self.y_data2grid = 1. / grid.dy
 
     def grid2mask(self, xi, yi):
         """Return nearest space in mask-coords from given grid-coords."""
-        return int((xi * self.x_grid2mask) + 0.5), \
-               int((yi * self.y_grid2mask) + 0.5)
+        return round(xi * self.x_grid2mask), round(yi * self.y_grid2mask)
 
     def mask2grid(self, xm, ym):
         return xm * self.x_mask2grid, ym * self.y_mask2grid
@@ -234,41 +345,56 @@ def mask2grid(self, xm, ym):
     def data2grid(self, xd, yd):
         return xd * self.x_data2grid, yd * self.y_data2grid
 
-    def start_trajectory(self, xg, yg):
+    def grid2data(self, xg, yg):
+        return xg / self.x_data2grid, yg / self.y_data2grid
+
+    def start_trajectory(self, xg, yg, broken_streamlines=True):
         xm, ym = self.grid2mask(xg, yg)
-        self.mask._start_trajectory(xm, ym)
+        self.mask._start_trajectory(xm, ym, broken_streamlines)
 
     def reset_start_point(self, xg, yg):
         xm, ym = self.grid2mask(xg, yg)
         self.mask._current_xy = (xm, ym)
 
-    def update_trajectory(self, xg, yg):
+    def update_trajectory(self, xg, yg, broken_streamlines=True):
         if not self.grid.within_grid(xg, yg):
             raise InvalidIndexError
         xm, ym = self.grid2mask(xg, yg)
-        self.mask._update_trajectory(xm, ym)
+        self.mask._update_trajectory(xm, ym, broken_streamlines)
 
     def undo_trajectory(self):
         self.mask._undo_trajectory()
 
 
-class Grid(object):
+class Grid:
     """Grid of data."""
     def __init__(self, x, y):
 
-        if len(x.shape) == 2:
+        if np.ndim(x) == 1:
+            pass
+        elif np.ndim(x) == 2:
             x_row = x[0]
-            assert np.allclose(x_row, x)
+            if not np.allclose(x_row, x):
+                raise ValueError("The rows of 'x' must be equal")
             x = x_row
         else:
-            assert len(x.shape) == 1
-
-        if len(y.shape) == 2:
-            y_col = y[:, 0]
-            assert np.allclose(y_col, y.T)
+            raise ValueError("'x' can have at maximum 2 dimensions")
+
+        if np.ndim(y) == 1:
+            pass
+        elif np.ndim(y) == 2:
+            yt = np.transpose(y)  # Also works for nested lists.
+            y_col = yt[0]
+            if not np.allclose(y_col, yt):
+                raise ValueError("The columns of 'y' must be equal")
             y = y_col
         else:
-            assert len(y.shape) == 1
+            raise ValueError("'y' can have at maximum 2 dimensions")
+
+        if not (np.diff(x) > 0).all():
+            raise ValueError("'x' must be strictly increasing")
+        if not (np.diff(y) > 0).all():
+            raise ValueError("'y' must be strictly increasing")
 
         self.nx = len(x)
         self.ny = len(y)
@@ -282,19 +408,25 @@ def __init__(self, x, y):
         self.width = x[-1] - x[0]
         self.height = y[-1] - y[0]
 
+        if not np.allclose(np.diff(x), self.width / (self.nx - 1)):
+            raise ValueError("'x' values must be equally spaced")
+        if not np.allclose(np.diff(y), self.height / (self.ny - 1)):
+            raise ValueError("'y' values must be equally spaced")
+
     @property
     def shape(self):
         return self.ny, self.nx
 
     def within_grid(self, xi, yi):
-        """Return True if point is a valid index of grid."""
+        """Return whether (*xi*, *yi*) is a valid index of the grid."""
         # Note that xi/yi can be floats; so, for example, we can't simply check
-        # `xi < self.nx` since `xi` can be `self.nx - 1 < xi < self.nx`
-        return xi >= 0 and xi <= self.nx - 1 and yi >= 0 and yi <= self.ny - 1
+        # `xi < self.nx` since *xi* can be `self.nx - 1 < xi < self.nx`
+        return 0 <= xi <= self.nx - 1 and 0 <= yi <= self.ny - 1
 
 
-class StreamMask(object):
-    """Mask to keep track of discrete regions crossed by streamlines.
+class StreamMask:
+    """
+    Mask to keep track of discrete regions crossed by streamlines.
 
     The resolution of this grid determines the approximate spacing between
     trajectories. Streamlines are only allowed to pass through zeroed cells:
@@ -303,33 +435,34 @@ class StreamMask(object):
     """
 
     def __init__(self, density):
-        if np.isscalar(density):
-            assert density > 0
-            self.nx = self.ny = int(30 * density)
-        else:
-            assert len(density) == 2
-            self.nx = int(30 * density[0])
-            self.ny = int(30 * density[1])
+        try:
+            self.nx, self.ny = (30 * np.broadcast_to(density, 2)).astype(int)
+        except ValueError as err:
+            raise ValueError("'density' must be a scalar or be of length "
+                             "2") from err
+        if self.nx < 0 or self.ny < 0:
+            raise ValueError("'density' must be positive")
         self._mask = np.zeros((self.ny, self.nx))
         self.shape = self._mask.shape
 
         self._current_xy = None
 
-    def __getitem__(self, *args):
-        return self._mask.__getitem__(*args)
+    def __getitem__(self, args):
+        return self._mask[args]
 
-    def _start_trajectory(self, xm, ym):
+    def _start_trajectory(self, xm, ym, broken_streamlines=True):
         """Start recording streamline trajectory"""
         self._traj = []
-        self._update_trajectory(xm, ym)
+        self._update_trajectory(xm, ym, broken_streamlines)
 
     def _undo_trajectory(self):
         """Remove current trajectory from mask"""
         for t in self._traj:
-            self._mask.__setitem__(t, 0)
+            self._mask[t] = 0
 
-    def _update_trajectory(self, xm, ym):
-        """Update current trajectory position in mask.
+    def _update_trajectory(self, xm, ym, broken_streamlines=True):
+        """
+        Update current trajectory position in mask.
 
         If the new position has already been filled, raise `InvalidIndexError`.
         """
@@ -339,7 +472,10 @@ def _update_trajectory(self, xm, ym):
                 self._mask[ym, xm] = 1
                 self._current_xy = (xm, ym)
             else:
-                raise InvalidIndexError
+                if broken_streamlines:
+                    raise InvalidIndexError
+                else:
+                    pass
 
 
 class InvalidIndexError(Exception):
@@ -351,19 +487,21 @@ class TerminateTrajectory(Exception):
 
 
 # Integrator definitions
-#========================
+# =======================
 
-def get_integrator(u, v, dmap, minlength):
+def _get_integrator(u, v, dmap, minlength, maxlength, integration_direction):
 
     # rescale velocity onto grid-coordinates for integrations.
     u, v = dmap.data2grid(u, v)
 
     # speed (path length) will be in axes-coordinates
-    u_ax = u / dmap.grid.nx
-    v_ax = v / dmap.grid.ny
+    u_ax = u / (dmap.grid.nx - 1)
+    v_ax = v / (dmap.grid.ny - 1)
     speed = np.ma.sqrt(u_ax ** 2 + v_ax ** 2)
 
     def forward_time(xi, yi):
+        if not dmap.grid.within_grid(xi, yi):
+            raise OutOfBounds
         ds_dt = interpgrid(speed, xi, yi)
         if ds_dt == 0:
             raise TerminateTrajectory()
@@ -376,8 +514,10 @@ def backward_time(xi, yi):
         dxi, dyi = forward_time(xi, yi)
         return -dxi, -dyi
 
-    def integrate(x0, y0):
-        """Return x, y grid-coordinates of trajectory based on starting point.
+    def integrate(x0, y0, broken_streamlines=True, integration_max_step_scale=1.0,
+                  integration_max_error_scale=1.0):
+        """
+        Return x, y grid-coordinates of trajectory based on starting point.
 
         Integrate both forward and backward in time from starting point in
         grid coordinates.
@@ -387,17 +527,31 @@ def integrate(x0, y0):
         resulting trajectory is None if it is shorter than `minlength`.
         """
 
-        dmap.start_trajectory(x0, y0)
-        sf, xf_traj, yf_traj = _integrate_rk12(x0, y0, dmap, forward_time)
-        dmap.reset_start_point(x0, y0)
-        sb, xb_traj, yb_traj = _integrate_rk12(x0, y0, dmap, backward_time)
-        # combine forward and backward trajectories
-        stotal = sf + sb
-        x_traj = xb_traj[::-1] + xf_traj[1:]
-        y_traj = yb_traj[::-1] + yf_traj[1:]
+        stotal, xy_traj = 0., []
+
+        try:
+            dmap.start_trajectory(x0, y0, broken_streamlines)
+        except InvalidIndexError:
+            return None
+        if integration_direction in ['both', 'backward']:
+            s, xyt = _integrate_rk12(x0, y0, dmap, backward_time, maxlength,
+                                     broken_streamlines,
+                                     integration_max_step_scale,
+                                     integration_max_error_scale)
+            stotal += s
+            xy_traj += xyt[::-1]
+
+        if integration_direction in ['both', 'forward']:
+            dmap.reset_start_point(x0, y0)
+            s, xyt = _integrate_rk12(x0, y0, dmap, forward_time, maxlength,
+                                     broken_streamlines,
+                                     integration_max_step_scale,
+                                     integration_max_error_scale)
+            stotal += s
+            xy_traj += xyt[1:]
 
         if stotal > minlength:
-            return x_traj, y_traj
+            return np.broadcast_arrays(xy_traj, np.empty((1, 2)))[0]
         else:  # reject short trajectories
             dmap.undo_trajectory()
             return None
@@ -405,8 +559,15 @@ def integrate(x0, y0):
     return integrate
 
 
-def _integrate_rk12(x0, y0, dmap, f):
-    """2nd-order Runge-Kutta algorithm with adaptive step size.
+class OutOfBounds(IndexError):
+    pass
+
+
+def _integrate_rk12(x0, y0, dmap, f, maxlength, broken_streamlines=True,
+                    integration_max_step_scale=1.0,
+                    integration_max_error_scale=1.0):
+    """
+    2nd-order Runge-Kutta algorithm with adaptive step size.
 
     This method is also referred to as the improved Euler's method, or Heun's
     method. This method is favored over higher-order methods because:
@@ -424,42 +585,49 @@ def _integrate_rk12(x0, y0, dmap, f):
        timestep is more suited to the problem as this would be very hard
        to judge automatically otherwise.
 
-    This integrator is about 1.5 - 2x as fast as both the RK4 and RK45
-    solvers in most setups on my machine. I would recommend removing the
-    other two to keep things simple.
+    This integrator is about 1.5 - 2x as fast as RK4 and RK45 solvers (using
+    similar Python implementations) in most setups.
     """
-    ## This error is below that needed to match the RK4 integrator. It
-    ## is set for visual reasons -- too low and corners start
-    ## appearing ugly and jagged. Can be tuned.
-    maxerror = 0.003
-
-    ## This limit is important (for all integrators) to avoid the
-    ## trajectory skipping some mask cells. We could relax this
-    ## condition if we use the code which is commented out below to
-    ## increment the location gradually. However, due to the efficient
-    ## nature of the interpolation, this doesn't boost speed by much
-    ## for quite a bit of complexity.
+    # This error is below that needed to match the RK4 integrator. It
+    # is set for visual reasons -- too low and corners start
+    # appearing ugly and jagged. Can be tuned.
+    maxerror = 0.003 * integration_max_error_scale
+
+    # This limit is important (for all integrators) to avoid the
+    # trajectory skipping some mask cells. We could relax this
+    # condition if we use the code which is commented out below to
+    # increment the location gradually. However, due to the efficient
+    # nature of the interpolation, this doesn't boost speed by much
+    # for quite a bit of complexity.
     maxds = min(1. / dmap.mask.nx, 1. / dmap.mask.ny, 0.1)
+    maxds *= integration_max_step_scale
 
     ds = maxds
     stotal = 0
     xi = x0
     yi = y0
-    xf_traj = []
-    yf_traj = []
+    xyf_traj = []
 
-    while dmap.grid.within_grid(xi, yi):
-        xf_traj.append(xi)
-        yf_traj.append(yi)
+    while True:
         try:
+            if dmap.grid.within_grid(xi, yi):
+                xyf_traj.append((xi, yi))
+            else:
+                raise OutOfBounds
+
+            # Compute the two intermediate gradients.
+            # f should raise OutOfBounds if the locations given are
+            # outside the grid.
             k1x, k1y = f(xi, yi)
-            k2x, k2y = f(xi + ds * k1x,
-                         yi + ds * k1y)
-        except IndexError:
-            # Out of the domain on one of the intermediate integration steps.
-            # Take an Euler step to the boundary to improve neatness.
-            ds, xf_traj, yf_traj = _euler_step(xf_traj, yf_traj, dmap, f)
-            stotal += ds
+            k2x, k2y = f(xi + ds * k1x, yi + ds * k1y)
+
+        except OutOfBounds:
+            # Out of the domain during this step.
+            # Take an Euler step to the boundary to improve neatness
+            # unless the trajectory is currently empty.
+            if xyf_traj:
+                ds, xyf_traj = _euler_step(xyf_traj, dmap, f)
+                stotal += ds
             break
         except TerminateTrajectory:
             break
@@ -469,19 +637,19 @@ def _integrate_rk12(x0, y0, dmap, f):
         dx2 = ds * 0.5 * (k1x + k2x)
         dy2 = ds * 0.5 * (k1y + k2y)
 
-        nx, ny = dmap.grid.shape
+        ny, nx = dmap.grid.shape
         # Error is normalized to the axes coordinates
-        error = np.sqrt(((dx2 - dx1) / nx) ** 2 + ((dy2 - dy1) / ny) ** 2)
+        error = np.hypot((dx2 - dx1) / (nx - 1), (dy2 - dy1) / (ny - 1))
 
         # Only save step if within error tolerance
         if error < maxerror:
             xi += dx2
             yi += dy2
             try:
-                dmap.update_trajectory(xi, yi)
+                dmap.update_trajectory(xi, yi, broken_streamlines)
             except InvalidIndexError:
                 break
-            if (stotal + ds) > 2:
+            if stotal + ds > maxlength:
                 break
             stotal += ds
 
@@ -491,14 +659,13 @@ def _integrate_rk12(x0, y0, dmap, f):
         else:
             ds = min(maxds, 0.85 * ds * (maxerror / error) ** 0.5)
 
-    return stotal, xf_traj, yf_traj
+    return stotal, xyf_traj
 
 
-def _euler_step(xf_traj, yf_traj, dmap, f):
+def _euler_step(xyf_traj, dmap, f):
     """Simple Euler integration step that extends streamline to boundary."""
     ny, nx = dmap.grid.shape
-    xi = xf_traj[-1]
-    yi = yf_traj[-1]
+    xi, yi = xyf_traj[-1]
     cx, cy = f(xi, yi)
     if cx == 0:
         dsx = np.inf
@@ -513,33 +680,32 @@ def _euler_step(xf_traj, yf_traj, dmap, f):
     else:
         dsy = (ny - 1 - yi) / cy
     ds = min(dsx, dsy)
-    xf_traj.append(xi + cx * ds)
-    yf_traj.append(yi + cy * ds)
-    return ds, xf_traj, yf_traj
+    xyf_traj.append((xi + cx * ds, yi + cy * ds))
+    return ds, xyf_traj
 
 
 # Utility functions
-#========================
+# ========================
 
 def interpgrid(a, xi, yi):
     """Fast 2D, linear interpolation on an integer grid"""
 
     Ny, Nx = np.shape(a)
     if isinstance(xi, np.ndarray):
-        x = xi.astype(np.int)
-        y = yi.astype(np.int)
+        x = xi.astype(int)
+        y = yi.astype(int)
         # Check that xn, yn don't exceed max index
         xn = np.clip(x + 1, 0, Nx - 1)
         yn = np.clip(y + 1, 0, Ny - 1)
     else:
-        x = np.int(xi)
-        y = np.int(yi)
+        x = int(xi)
+        y = int(yi)
         # conditional is faster than clipping for integers
-        if x == (Nx - 2):
+        if x == (Nx - 1):
             xn = x
         else:
             xn = x + 1
-        if y == (Ny - 2):
+        if y == (Ny - 1):
             yn = y
         else:
             yn = y + 1
@@ -562,7 +728,8 @@ def interpgrid(a, xi, yi):
 
 
 def _gen_starting_points(shape):
-    """Yield starting points for streamlines.
+    """
+    Yield starting points for streamlines.
 
     Trying points on the boundary first gives higher quality streamlines.
     This algorithm starts with a point on the mask corner and spirals inward.
@@ -574,10 +741,8 @@ def _gen_starting_points(shape):
     xlast = nx - 1
     ylast = ny - 1
     x, y = 0, 0
-    i = 0
     direction = 'right'
-    for i in xrange(nx * ny):
-
+    for i in range(nx * ny):
         yield x, y
 
         if direction == 'right':
diff --git a/lib/matplotlib/streamplot.pyi b/lib/matplotlib/streamplot.pyi
new file mode 100644
index 000000000000..ca3553edc2fd
--- /dev/null
+++ b/lib/matplotlib/streamplot.pyi
@@ -0,0 +1,88 @@
+from matplotlib.axes import Axes
+from matplotlib.colors import Normalize, Colormap
+from matplotlib.collections import LineCollection, PatchCollection
+from matplotlib.patches import ArrowStyle
+from matplotlib.transforms import Transform
+
+from typing import Literal
+from numpy.typing import ArrayLike
+from .typing import ColorType
+
+def streamplot(
+    axes: Axes,
+    x: ArrayLike,
+    y: ArrayLike,
+    u: ArrayLike,
+    v: ArrayLike,
+    density: float | tuple[float, float] = ...,
+    linewidth: float | ArrayLike | None = ...,
+    color: ColorType | ArrayLike | None = ...,
+    cmap: str | Colormap | None = ...,
+    norm: str | Normalize | None = ...,
+    arrowsize: float = ...,
+    arrowstyle: str | ArrowStyle = ...,
+    minlength: float = ...,
+    transform: Transform | None = ...,
+    zorder: float | None = ...,
+    start_points: ArrayLike | None = ...,
+    maxlength: float = ...,
+    integration_direction: Literal["forward", "backward", "both"] = ...,
+    broken_streamlines: bool = ...,
+    *,
+    integration_max_step_scale: float = ...,
+    integration_max_error_scale: float = ...,
+    num_arrows: int = ...,
+) -> StreamplotSet: ...
+
+class StreamplotSet:
+    lines: LineCollection
+    arrows: PatchCollection
+    def __init__(self, lines: LineCollection, arrows: PatchCollection) -> None: ...
+
+class DomainMap:
+    grid: Grid
+    mask: StreamMask
+    x_grid2mask: float
+    y_grid2mask: float
+    x_mask2grid: float
+    y_mask2grid: float
+    x_data2grid: float
+    y_data2grid: float
+    def __init__(self, grid: Grid, mask: StreamMask) -> None: ...
+    def grid2mask(self, xi: float, yi: float) -> tuple[int, int]: ...
+    def mask2grid(self, xm: float, ym: float) -> tuple[float, float]: ...
+    def data2grid(self, xd: float, yd: float) -> tuple[float, float]: ...
+    def grid2data(self, xg: float, yg: float) -> tuple[float, float]: ...
+    def start_trajectory(
+        self, xg: float, yg: float, broken_streamlines: bool = ...
+    ) -> None: ...
+    def reset_start_point(self, xg: float, yg: float) -> None: ...
+    def update_trajectory(self, xg, yg, broken_streamlines: bool = ...) -> None: ...
+    def undo_trajectory(self) -> None: ...
+
+class Grid:
+    nx: int
+    ny: int
+    dx: float
+    dy: float
+    x_origin: float
+    y_origin: float
+    width: float
+    height: float
+    def __init__(self, x: ArrayLike, y: ArrayLike) -> None: ...
+    @property
+    def shape(self) -> tuple[int, int]: ...
+    def within_grid(self, xi: float, yi: float) -> bool: ...
+
+class StreamMask:
+    nx: int
+    ny: int
+    shape: tuple[int, int]
+    def __init__(self, density: float | tuple[float, float]) -> None: ...
+    def __getitem__(self, args): ...
+
+class InvalidIndexError(Exception): ...
+class TerminateTrajectory(Exception): ...
+class OutOfBounds(IndexError): ...
+
+__all__ = ['streamplot']
diff --git a/lib/matplotlib/style/__init__.py b/lib/matplotlib/style/__init__.py
index cb0592f41e78..488c6d6ae1ec 100644
--- a/lib/matplotlib/style/__init__.py
+++ b/lib/matplotlib/style/__init__.py
@@ -1,3 +1,4 @@
-from __future__ import absolute_import
+from .core import available, context, library, reload_library, use
 
-from .core import use, context, available, library, reload_library
+
+__all__ = ["available", "context", "library", "reload_library", "use"]
diff --git a/lib/matplotlib/style/core.py b/lib/matplotlib/style/core.py
index 8bd0d13b44ed..e36c3c37a882 100644
--- a/lib/matplotlib/style/core.py
+++ b/lib/matplotlib/style/core.py
@@ -1,8 +1,3 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 """
 Core functions and attributes for the matplotlib style library:
 
@@ -15,146 +10,228 @@
 ``library``
     A dictionary of style names and matplotlib settings.
 """
-import os
-import re
+
 import contextlib
+import importlib.resources
+import logging
+import os
+from pathlib import Path
+import warnings
 
 import matplotlib as mpl
-from matplotlib import cbook
-from matplotlib import rc_params_from_file
+from matplotlib import _api, _docstring, _rc_params_in_file, rcParamsDefault
 
+_log = logging.getLogger(__name__)
 
 __all__ = ['use', 'context', 'available', 'library', 'reload_library']
 
 
 BASE_LIBRARY_PATH = os.path.join(mpl.get_data_path(), 'stylelib')
 # Users may want multiple library paths, so store a list of paths.
-USER_LIBRARY_PATHS = [os.path.join(mpl._get_configdir(), 'stylelib')]
+USER_LIBRARY_PATHS = [os.path.join(mpl.get_configdir(), 'stylelib')]
 STYLE_EXTENSION = 'mplstyle'
-STYLE_FILE_PATTERN = re.compile('([\S]+).%s$' % STYLE_EXTENSION)
-
+# A list of rcParams that should not be applied from styles
+STYLE_BLACKLIST = {
+    'interactive', 'backend', 'webagg.port', 'webagg.address',
+    'webagg.port_retries', 'webagg.open_in_browser', 'backend_fallback',
+    'toolbar', 'timezone', 'figure.max_open_warning',
+    'figure.raise_window', 'savefig.directory', 'tk.window_focus',
+    'docstring.hardcopy', 'date.epoch'}
+
+
+@_docstring.Substitution(
+    "\n".join(map("- {}".format, sorted(STYLE_BLACKLIST, key=str.lower)))
+)
+def use(style):
+    """
+    Use Matplotlib style settings from a style specification.
 
-def is_style_file(filename):
-    """Return True if the filename looks like a style file."""
-    return STYLE_FILE_PATTERN.match(filename) is not None
+    The style name of 'default' is reserved for reverting back to
+    the default style settings.
 
+    .. note::
 
-def use(name):
-    """Use matplotlib style settings from a known style sheet or from a file.
+       This updates the `.rcParams` with the settings from the style.
+       `.rcParams` not defined in the style are kept.
 
     Parameters
     ----------
-    name : str or list of str
-        Name of style or path/URL to a style file. For a list of available
-        style names, see `style.available`. If given a list, each style is
-        applied from first to last in the list.
-    """
-    if cbook.is_string_like(name):
-        name = [name]
+    style : str, dict, Path or list
+
+        A style specification. Valid options are:
 
-    for style in name:
-        if style in library:
-            mpl.rcParams.update(library[style])
-        else:
+        str
+            - One of the style names in `.style.available` (a builtin style or
+              a style installed in the user library path).
+
+            - A dotted name of the form "package.style_name"; in that case,
+              "package" should be an importable Python package name, e.g. at
+              ``/path/to/package/__init__.py``; the loaded style file is
+              ``/path/to/package/style_name.mplstyle``.  (Style files in
+              subpackages are likewise supported.)
+
+            - The path or URL to a style file, which gets loaded by
+              `.rc_params_from_file`.
+
+        dict
+            A mapping of key/value pairs for `matplotlib.rcParams`.
+
+        Path
+            The path to a style file, which gets loaded by
+            `.rc_params_from_file`.
+
+        list
+            A list of style specifiers (str, Path or dict), which are applied
+            from first to last in the list.
+
+    Notes
+    -----
+    The following `.rcParams` are not related to style and will be ignored if
+    found in a style specification:
+
+    %s
+    """
+    if isinstance(style, (str, Path)) or hasattr(style, 'keys'):
+        # If name is a single str, Path or dict, make it a single element list.
+        styles = [style]
+    else:
+        styles = style
+
+    style_alias = {'mpl20': 'default', 'mpl15': 'classic'}
+
+    for style in styles:
+        if isinstance(style, str):
+            style = style_alias.get(style, style)
+            if style == "default":
+                # Deprecation warnings were already handled when creating
+                # rcParamsDefault, no need to reemit them here.
+                with _api.suppress_matplotlib_deprecation_warning():
+                    # don't trigger RcParams.__getitem__('backend')
+                    style = {k: rcParamsDefault[k] for k in rcParamsDefault
+                             if k not in STYLE_BLACKLIST}
+            elif style in library:
+                style = library[style]
+            elif "." in style:
+                pkg, _, name = style.rpartition(".")
+                try:
+                    path = importlib.resources.files(pkg) / f"{name}.{STYLE_EXTENSION}"
+                    style = _rc_params_in_file(path)
+                except (ModuleNotFoundError, OSError, TypeError) as exc:
+                    # There is an ambiguity whether a dotted name refers to a
+                    # package.style_name or to a dotted file path.  Currently,
+                    # we silently try the first form and then the second one;
+                    # in the future, we may consider forcing file paths to
+                    # either use Path objects or be prepended with "./" and use
+                    # the slash as marker for file paths.
+                    pass
+        if isinstance(style, (str, Path)):
             try:
-                rc = rc_params_from_file(style, use_default_template=False)
-                mpl.rcParams.update(rc)
-            except:
-                msg = ("'%s' not found in the style library and input is "
-                       "not a valid URL or path. See `style.available` for "
-                       "list of available styles.")
-                raise ValueError(msg % style)
+                style = _rc_params_in_file(style)
+            except OSError as err:
+                raise OSError(
+                    f"{style!r} is not a valid package style, path of style "
+                    f"file, URL of style file, or library style name (library "
+                    f"styles are listed in `style.available`)") from err
+        filtered = {}
+        for k in style:  # don't trigger RcParams.__getitem__('backend')
+            if k in STYLE_BLACKLIST:
+                _api.warn_external(
+                    f"Style includes a parameter, {k!r}, that is not "
+                    f"related to style.  Ignoring this parameter.")
+            else:
+                filtered[k] = style[k]
+        mpl.rcParams.update(filtered)
 
 
 @contextlib.contextmanager
-def context(name, after_reset=False):
-    """Context manager for using style settings temporarily.
+def context(style, after_reset=False):
+    """
+    Context manager for using style settings temporarily.
 
     Parameters
     ----------
-    name : str or list of str
-        Name of style or path/URL to a style file. For a list of available
-        style names, see `style.available`. If given a list, each style is
-        applied from first to last in the list.
+    style : str, dict, Path or list
+        A style specification. Valid options are:
+
+        str
+            - One of the style names in `.style.available` (a builtin style or
+              a style installed in the user library path).
+
+            - A dotted name of the form "package.style_name"; in that case,
+              "package" should be an importable Python package name, e.g. at
+              ``/path/to/package/__init__.py``; the loaded style file is
+              ``/path/to/package/style_name.mplstyle``.  (Style files in
+              subpackages are likewise supported.)
+
+            - The path or URL to a style file, which gets loaded by
+              `.rc_params_from_file`.
+        dict
+            A mapping of key/value pairs for `matplotlib.rcParams`.
+
+        Path
+            The path to a style file, which gets loaded by
+            `.rc_params_from_file`.
+
+        list
+            A list of style specifiers (str, Path or dict), which are applied
+            from first to last in the list.
+
     after_reset : bool
         If True, apply style after resetting settings to their defaults;
         otherwise, apply style on top of the current settings.
     """
-    initial_settings = mpl.rcParams.copy()
-    if after_reset:
-        mpl.rcdefaults()
-    use(name)
-    yield
-    mpl.rcParams.update(initial_settings)
-
-
-def load_base_library():
-    """Load style library defined in this package."""
-    library = dict()
-    library.update(read_style_directory(BASE_LIBRARY_PATH))
-    return library
-
-
-def iter_user_libraries():
-    for stylelib_path in USER_LIBRARY_PATHS:
-        stylelib_path = os.path.expanduser(stylelib_path)
-        if os.path.exists(stylelib_path) and os.path.isdir(stylelib_path):
-            yield stylelib_path
+    with mpl.rc_context():
+        if after_reset:
+            mpl.rcdefaults()
+        use(style)
+        yield
 
 
 def update_user_library(library):
-    """Update style library with user-defined rc files"""
-    for stylelib_path in iter_user_libraries():
+    """Update style library with user-defined rc files."""
+    for stylelib_path in map(os.path.expanduser, USER_LIBRARY_PATHS):
         styles = read_style_directory(stylelib_path)
         update_nested_dict(library, styles)
     return library
 
 
-def iter_style_files(style_dir):
-    """Yield file path and name of styles in the given directory."""
-    for path in os.listdir(style_dir):
-        filename = os.path.basename(path)
-        if is_style_file(filename):
-            match = STYLE_FILE_PATTERN.match(filename)
-            path = os.path.abspath(os.path.join(style_dir, path))
-            yield path, match.groups()[0]
-
-
 def read_style_directory(style_dir):
-    """Return dictionary of styles defined in `style_dir`."""
+    """Return dictionary of styles defined in *style_dir*."""
     styles = dict()
-    for path, name in iter_style_files(style_dir):
-        styles[name] = rc_params_from_file(path, use_default_template=False)
+    for path in Path(style_dir).glob(f"*.{STYLE_EXTENSION}"):
+        with warnings.catch_warnings(record=True) as warns:
+            styles[path.stem] = _rc_params_in_file(path)
+        for w in warns:
+            _log.warning('In %s: %s', path, w.message)
     return styles
 
 
 def update_nested_dict(main_dict, new_dict):
-    """Update nested dict (only level of nesting) with new values.
+    """
+    Update nested dict (only level of nesting) with new values.
 
-    Unlike dict.update, this assumes that the values of the parent dict are
+    Unlike `dict.update`, this assumes that the values of the parent dict are
     dicts (or dict-like), so you shouldn't replace the nested dict if it
     already exists. Instead you should update the sub-dict.
     """
     # update named styles specified by user
-    for name, rc_dict in six.iteritems(new_dict):
-        if name in main_dict:
-            main_dict[name].update(rc_dict)
-        else:
-            main_dict[name] = rc_dict
+    for name, rc_dict in new_dict.items():
+        main_dict.setdefault(name, {}).update(rc_dict)
     return main_dict
 
 
 # Load style library
 # ==================
-_base_library = load_base_library()
-
-library = None
+_base_library = read_style_directory(BASE_LIBRARY_PATH)
+library = {}
 available = []
 
 
 def reload_library():
-    """Reload style library."""
-    global library, available
-    library = update_user_library(_base_library)
-    available[:] = library.keys()
+    """Reload the style library."""
+    library.clear()
+    library.update(update_user_library(_base_library))
+    available[:] = sorted(library.keys())
+
+
 reload_library()
diff --git a/lib/matplotlib/style/core.pyi b/lib/matplotlib/style/core.pyi
new file mode 100644
index 000000000000..5734b017f7c4
--- /dev/null
+++ b/lib/matplotlib/style/core.pyi
@@ -0,0 +1,21 @@
+from collections.abc import Generator
+import contextlib
+
+from matplotlib import RcParams
+from matplotlib.typing import RcStyleType
+
+USER_LIBRARY_PATHS: list[str] = ...
+STYLE_EXTENSION: str = ...
+
+def use(style: RcStyleType) -> None: ...
+@contextlib.contextmanager
+def context(
+    style: RcStyleType, after_reset: bool = ...
+) -> Generator[None, None, None]: ...
+
+library: dict[str, RcParams]
+available: list[str]
+
+def reload_library() -> None: ...
+
+__all__ = ['use', 'context', 'available', 'library', 'reload_library']
diff --git a/lib/matplotlib/style/meson.build b/lib/matplotlib/style/meson.build
new file mode 100644
index 000000000000..03e7972132bb
--- /dev/null
+++ b/lib/matplotlib/style/meson.build
@@ -0,0 +1,11 @@
+python_sources = [
+  '__init__.py',
+  'core.py',
+]
+
+typing_sources = [
+  'core.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/style')
diff --git a/lib/matplotlib/table.py b/lib/matplotlib/table.py
index 497c1eb49ad4..370ce9fe922f 100644
--- a/lib/matplotlib/table.py
+++ b/lib/matplotlib/table.py
@@ -1,90 +1,134 @@
-"""
-Place a table below the x-axis at location loc.
-
-The table consists of a grid of cells.
+# Original code by:
+#    John Gill <jng@europe.renre.com>
+#    Copyright 2004 John Gill and John Hunter
+#
+# Subsequent changes:
+#    The Matplotlib development team
+#    Copyright The Matplotlib development team
 
-The grid need not be rectangular and can have holes.
-
-Cells are added by specifying their row and column.
+"""
+Tables drawing.
 
-For the purposes of positioning the cell at (0, 0) is
-assumed to be at the top left and the cell at (max_row, max_col)
-is assumed to be at bottom right.
+.. note::
+    The table implementation in Matplotlib is lightly maintained. For a more
+    featureful table implementation, you may wish to try `blume
+    <https://github.com/swfiua/blume>`_.
 
-You can add additional cells outside this range to have convenient
-ways of positioning more interesting grids.
+Use the factory function `~matplotlib.table.table` to create a ready-made
+table from texts. If you need more control, use the `.Table` class and its
+methods.
 
-Author    : John Gill <jng@europe.renre.com>
-Copyright : 2004 John Gill and John Hunter
-License   : matplotlib license
+The table consists of a grid of cells, which are indexed by (row, column).
+The cell (0, 0) is positioned at the top left.
 
+Thanks to John Gill for providing the class and table.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import xrange
+import numpy as np
 
-import warnings
-
-from . import artist
+from . import _api, _docstring
 from .artist import Artist, allow_rasterization
 from .patches import Rectangle
-from .cbook import is_string_like
-from matplotlib import docstring
 from .text import Text
 from .transforms import Bbox
+from .path import Path
+
+from .cbook import _is_pandas_dataframe
 
 
 class Cell(Rectangle):
     """
-    A cell is a Rectangle with some associated text.
+    A cell is a `.Rectangle` with some associated `.Text`.
 
+    As a user, you'll most likely not creates cells yourself. Instead, you
+    should use either the `~matplotlib.table.table` factory function or
+    `.Table.add_cell`.
     """
-    PAD = 0.1  # padding between text and rectangle
 
-    def __init__(self, xy, width, height,
+    PAD = 0.1
+    """Padding between text and rectangle."""
+
+    _edges = 'BRTL'
+    _edge_aliases = {'open':         '',
+                     'closed':       _edges,  # default
+                     'horizontal':   'BT',
+                     'vertical':     'RL'
+                     }
+
+    def __init__(self, xy, width, height, *,
                  edgecolor='k', facecolor='w',
                  fill=True,
                  text='',
-                 loc=None,
-                 fontproperties=None
+                 loc='right',
+                 fontproperties=None,
+                 visible_edges='closed',
                  ):
+        """
+        Parameters
+        ----------
+        xy : 2-tuple
+            The position of the bottom left corner of the cell.
+        width : float
+            The cell width.
+        height : float
+            The cell height.
+        edgecolor : :mpltype:`color`, default: 'k'
+            The color of the cell border.
+        facecolor : :mpltype:`color`, default: 'w'
+            The cell facecolor.
+        fill : bool, default: True
+            Whether the cell background is filled.
+        text : str, optional
+            The cell text.
+        loc : {'right', 'center', 'left'}
+            The alignment of the text within the cell.
+        fontproperties : dict, optional
+            A dict defining the font properties of the text. Supported keys and
+            values are the keyword arguments accepted by `.FontProperties`.
+        visible_edges : {'closed', 'open', 'horizontal', 'vertical'} or \
+substring of 'BRTL'
+            The cell edges to be drawn with a line: a substring of 'BRTL'
+            (bottom, right, top, left), or one of 'open' (no edges drawn),
+            'closed' (all edges drawn), 'horizontal' (bottom and top),
+            'vertical' (right and left).
+        """
 
         # Call base
-        Rectangle.__init__(self, xy, width=width, height=height,
-                           edgecolor=edgecolor, facecolor=facecolor)
+        super().__init__(xy, width=width, height=height, fill=fill,
+                         edgecolor=edgecolor, facecolor=facecolor)
         self.set_clip_on(False)
+        self.visible_edges = visible_edges
 
         # Create text object
-        if loc is None:
-            loc = 'right'
         self._loc = loc
-        self._text = Text(x=xy[0], y=xy[1], text=text,
-                          fontproperties=fontproperties)
-        self._text.set_clip_on(False)
+        self._text = Text(x=xy[0], y=xy[1], clip_on=False,
+                          text=text, fontproperties=fontproperties,
+                          horizontalalignment=loc, verticalalignment='center')
 
-    def set_transform(self, trans):
-        Rectangle.set_transform(self, trans)
+    def set_transform(self, t):
+        super().set_transform(t)
         # the text does not get the transform!
+        self.stale = True
 
     def set_figure(self, fig):
-        Rectangle.set_figure(self, fig)
+        super().set_figure(fig)
         self._text.set_figure(fig)
 
     def get_text(self):
-        'Return the cell Text intance'
+        """Return the cell `.Text` instance."""
         return self._text
 
     def set_fontsize(self, size):
+        """Set the text fontsize."""
         self._text.set_fontsize(size)
+        self.stale = True
 
     def get_fontsize(self):
-        'Return the cell fontsize'
+        """Return the cell fontsize."""
         return self._text.get_fontsize()
 
     def auto_set_font_size(self, renderer):
-        """ Shrink font size until text fits. """
+        """Shrink font size until the text fits into the cell width."""
         fontsize = self.get_fontsize()
         required = self.get_required_width(renderer)
         while fontsize > 1 and required > self.get_width():
@@ -99,65 +143,113 @@ def draw(self, renderer):
         if not self.get_visible():
             return
         # draw the rectangle
-        Rectangle.draw(self, renderer)
-
+        super().draw(renderer)
         # position the text
         self._set_text_position(renderer)
         self._text.draw(renderer)
+        self.stale = False
 
     def _set_text_position(self, renderer):
-        """ Set text up so it draws in the right place.
-
-        Currently support 'left', 'center' and 'right'
-        """
+        """Set text up so it is drawn in the right place."""
         bbox = self.get_window_extent(renderer)
-        l, b, w, h = bbox.bounds
-
-        # draw in center vertically
-        self._text.set_verticalalignment('center')
-        y = b + (h / 2.0)
-
-        # now position horizontally
-        if self._loc == 'center':
-            self._text.set_horizontalalignment('center')
-            x = l + (w / 2.0)
-        elif self._loc == 'left':
-            self._text.set_horizontalalignment('left')
-            x = l + (w * self.PAD)
-        else:
-            self._text.set_horizontalalignment('right')
-            x = l + (w * (1.0 - self.PAD))
-
+        # center vertically
+        y = bbox.y0 + bbox.height / 2
+        # position horizontally
+        loc = self._text.get_horizontalalignment()
+        if loc == 'center':
+            x = bbox.x0 + bbox.width / 2
+        elif loc == 'left':
+            x = bbox.x0 + bbox.width * self.PAD
+        else:  # right.
+            x = bbox.x0 + bbox.width * (1 - self.PAD)
         self._text.set_position((x, y))
 
     def get_text_bounds(self, renderer):
-        """ Get text bounds in axes co-ordinates. """
-        bbox = self._text.get_window_extent(renderer)
-        bboxa = bbox.inverse_transformed(self.get_data_transform())
-        return bboxa.bounds
+        """
+        Return the text bounds as *(x, y, width, height)* in table coordinates.
+        """
+        return (self._text.get_window_extent(renderer)
+                .transformed(self.get_data_transform().inverted())
+                .bounds)
 
     def get_required_width(self, renderer):
-        """ Get width required for this cell. """
+        """Return the minimal required width for the cell."""
         l, b, w, h = self.get_text_bounds(renderer)
         return w * (1.0 + (2.0 * self.PAD))
 
+    @_docstring.interpd
     def set_text_props(self, **kwargs):
-        'update the text properties with kwargs'
-        self._text.update(kwargs)
+        """
+        Update the text properties.
+
+        Valid keyword arguments are:
+
+        %(Text:kwdoc)s
+        """
+        self._text._internal_update(kwargs)
+        self.stale = True
+
+    @property
+    def visible_edges(self):
+        """
+        The cell edges to be drawn with a line.
+
+        Reading this property returns a substring of 'BRTL' (bottom, right,
+        top, left').
+
+        When setting this property, you can use a substring of 'BRTL' or one
+        of {'open', 'closed', 'horizontal', 'vertical'}.
+        """
+        return self._visible_edges
+
+    @visible_edges.setter
+    def visible_edges(self, value):
+        if value is None:
+            self._visible_edges = self._edges
+        elif value in self._edge_aliases:
+            self._visible_edges = self._edge_aliases[value]
+        else:
+            if any(edge not in self._edges for edge in value):
+                raise ValueError('Invalid edge param {}, must only be one of '
+                                 '{} or string of {}'.format(
+                                     value,
+                                     ", ".join(self._edge_aliases),
+                                     ", ".join(self._edges)))
+            self._visible_edges = value
+        self.stale = True
+
+    def get_path(self):
+        """Return a `.Path` for the `.visible_edges`."""
+        codes = [Path.MOVETO]
+        codes.extend(
+            Path.LINETO if edge in self._visible_edges else Path.MOVETO
+            for edge in self._edges)
+        if Path.MOVETO not in codes[1:]:  # All sides are visible
+            codes[-1] = Path.CLOSEPOLY
+        return Path(
+            [[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0], [0.0, 0.0]],
+            codes,
+            readonly=True
+            )
+
+
+CustomCell = Cell  # Backcompat. alias.
 
 
 class Table(Artist):
     """
-    Create a table of cells.
+    A table of cells.
 
-    Table can have (optional) row and column headers.
+    The table consists of a grid of cells, which are indexed by (row, column).
 
-    Each entry in the table can be either text or patches.
+    For a simple table, you'll have a full grid of cells with indices from
+    (0, 0) to (num_rows-1, num_cols-1), in which the cell (0, 0) is positioned
+    at the top left. However, you can also add cells with negative indices.
+    You don't have to add a cell to every grid position, so you can create
+    tables that have holes.
 
-    Column widths and row heights for the table can be specifified.
-
-    Return value is a sequence of text, line and patch instances that make
-    up the table
+    *Note*: You'll usually not create an empty table from scratch. Instead use
+    `~matplotlib.table.table` to create a table from data.
     """
     codes = {'best': 0,
              'upper right':  1,  # default
@@ -178,129 +270,200 @@ class Table(Artist):
              'top':          16,
              'bottom':       17,
              }
+    """Possible values where to place the table relative to the Axes."""
 
     FONTSIZE = 10
-    AXESPAD = 0.02    # the border between the axes and table edge
+
+    AXESPAD = 0.02
+    """The border between the Axes and the table edge in Axes units."""
 
     def __init__(self, ax, loc=None, bbox=None, **kwargs):
+        """
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` to plot the table into.
+        loc : str, optional
+            The position of the cell with respect to *ax*. This must be one of
+            the `~.Table.codes`.
+        bbox : `.Bbox` or [xmin, ymin, width, height], optional
+            A bounding box to draw the table into. If this is not *None*, this
+            overrides *loc*.
+
+        Other Parameters
+        ----------------
+        **kwargs
+            `.Artist` properties.
+        """
 
-        Artist.__init__(self)
+        super().__init__()
 
-        if is_string_like(loc) and loc not in self.codes:
-            warnings.warn('Unrecognized location %s. Falling back on '
-                          'bottom; valid locations are\n%s\t' %
-                          (loc, '\n\t'.join(six.iterkeys(self.codes))))
-            loc = 'bottom'
-        if is_string_like(loc):
-            loc = self.codes.get(loc, 1)
-        self.set_figure(ax.figure)
+        if isinstance(loc, str):
+            if loc not in self.codes:
+                raise ValueError(
+                    "Unrecognized location {!r}. Valid locations are\n\t{}"
+                    .format(loc, '\n\t'.join(self.codes)))
+            loc = self.codes[loc]
+        self.set_figure(ax.get_figure(root=False))
         self._axes = ax
         self._loc = loc
         self._bbox = bbox
 
         # use axes coords
+        ax._unstale_viewLim()
         self.set_transform(ax.transAxes)
 
-        self._texts = []
         self._cells = {}
-        self._autoRows = []
+        self._edges = None
         self._autoColumns = []
         self._autoFontsize = True
-        self.update(kwargs)
+        self._internal_update(kwargs)
 
         self.set_clip_on(False)
 
-        self._cachedRenderer = None
-
     def add_cell(self, row, col, *args, **kwargs):
-        """ Add a cell to the table. """
+        """
+        Create a cell and add it to the table.
+
+        Parameters
+        ----------
+        row : int
+            Row index.
+        col : int
+            Column index.
+        *args, **kwargs
+            All other parameters are passed on to `Cell`.
+
+        Returns
+        -------
+        `.Cell`
+            The created cell.
+
+        """
         xy = (0, 0)
+        cell = Cell(xy, visible_edges=self.edges, *args, **kwargs)
+        self[row, col] = cell
+        return cell
 
-        cell = Cell(xy, *args, **kwargs)
-        cell.set_figure(self.figure)
+    def __setitem__(self, position, cell):
+        """
+        Set a custom cell in a given position.
+        """
+        _api.check_isinstance(Cell, cell=cell)
+        try:
+            row, col = position[0], position[1]
+        except Exception as err:
+            raise KeyError('Only tuples length 2 are accepted as '
+                           'coordinates') from err
+        cell.set_figure(self.get_figure(root=False))
         cell.set_transform(self.get_transform())
-
         cell.set_clip_on(False)
-        self._cells[(row, col)] = cell
+        self._cells[row, col] = cell
+        self.stale = True
+
+    def __getitem__(self, position):
+        """Retrieve a custom cell from a given position."""
+        return self._cells[position]
+
+    @property
+    def edges(self):
+        """
+        The default value of `~.Cell.visible_edges` for newly added
+        cells using `.add_cell`.
+
+        Notes
+        -----
+        This setting does currently only affect newly created cells using
+        `.add_cell`.
+
+        To change existing cells, you have to set their edges explicitly::
+
+            for c in tab.get_celld().values():
+                c.visible_edges = 'horizontal'
+
+        """
+        return self._edges
+
+    @edges.setter
+    def edges(self, value):
+        self._edges = value
+        self.stale = True
 
     def _approx_text_height(self):
-        return (self.FONTSIZE / 72.0 * self.figure.dpi /
+        return (self.FONTSIZE / 72.0 * self.get_figure(root=True).dpi /
                 self._axes.bbox.height * 1.2)
 
     @allow_rasterization
     def draw(self, renderer):
+        # docstring inherited
+
         # Need a renderer to do hit tests on mouseevent; assume the last one
         # will do
         if renderer is None:
-            renderer = self._cachedRenderer
+            renderer = self.get_figure(root=True)._get_renderer()
         if renderer is None:
             raise RuntimeError('No renderer defined')
-        self._cachedRenderer = renderer
 
         if not self.get_visible():
             return
-        renderer.open_group('table')
+        renderer.open_group('table', gid=self.get_gid())
         self._update_positions(renderer)
 
-        keys = list(six.iterkeys(self._cells))
-        keys.sort()
-        for key in keys:
+        for key in sorted(self._cells):
             self._cells[key].draw(renderer)
-        #for c in self._cells.itervalues():
-        #    c.draw(renderer)
+
         renderer.close_group('table')
+        self.stale = False
 
     def _get_grid_bbox(self, renderer):
-        """Get a bbox, in axes co-ordinates for the cells.
-
-        Only include those in the range (0,0) to (maxRow, maxCol)"""
-        boxes = [self._cells[pos].get_window_extent(renderer)
-                 for pos in six.iterkeys(self._cells)
-                 if pos[0] >= 0 and pos[1] >= 0]
+        """
+        Get a bbox, in axes coordinates for the cells.
 
+        Only include those in the range (0, 0) to (maxRow, maxCol).
+        """
+        boxes = [cell.get_window_extent(renderer)
+                 for (row, col), cell in self._cells.items()
+                 if row >= 0 and col >= 0]
         bbox = Bbox.union(boxes)
-        return bbox.inverse_transformed(self.get_transform())
+        return bbox.transformed(self.get_transform().inverted())
 
     def contains(self, mouseevent):
-        """Test whether the mouse event occurred in the table.
-
-        Returns T/F, {}
-        """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-
+        # docstring inherited
+        if self._different_canvas(mouseevent):
+            return False, {}
         # TODO: Return index of the cell containing the cursor so that the user
         # doesn't have to bind to each one individually.
-        if self._cachedRenderer is not None:
-            boxes = [self._cells[pos].get_window_extent(self._cachedRenderer)
-                 for pos in six.iterkeys(self._cells)
-                 if pos[0] >= 0 and pos[1] >= 0]
+        renderer = self.get_figure(root=True)._get_renderer()
+        if renderer is not None:
+            boxes = [cell.get_window_extent(renderer)
+                     for (row, col), cell in self._cells.items()
+                     if row >= 0 and col >= 0]
             bbox = Bbox.union(boxes)
             return bbox.contains(mouseevent.x, mouseevent.y), {}
         else:
             return False, {}
 
     def get_children(self):
-        'Return the Artists contained by the table'
-        return list(six.itervalues(self._cells))
-    get_child_artists = get_children  # backward compatibility
+        """Return the Artists contained by the table."""
+        return list(self._cells.values())
 
-    def get_window_extent(self, renderer):
-        'Return the bounding box of the table in window coords'
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
+        self._update_positions(renderer)
         boxes = [cell.get_window_extent(renderer)
-                 for cell in six.itervalues(self._cells)]
-
+                 for cell in self._cells.values()]
         return Bbox.union(boxes)
 
     def _do_cell_alignment(self):
-        """ Calculate row heights and column widths.
-
-        Position cells accordingly.
+        """
+        Calculate row heights and column widths; position cells accordingly.
         """
         # Calculate row/column widths
         widths = {}
         heights = {}
-        for (row, col), cell in six.iteritems(self._cells):
+        for (row, col), cell in self._cells.items():
             height = heights.setdefault(row, 0.0)
             heights[row] = max(height, cell.get_height())
             width = widths.setdefault(col, 0.0)
@@ -309,56 +472,58 @@ def _do_cell_alignment(self):
         # work out left position for each column
         xpos = 0
         lefts = {}
-        cols = list(six.iterkeys(widths))
-        cols.sort()
-        for col in cols:
+        for col in sorted(widths):
             lefts[col] = xpos
             xpos += widths[col]
 
         ypos = 0
         bottoms = {}
-        rows = list(six.iterkeys(heights))
-        rows.sort()
-        rows.reverse()
-        for row in rows:
+        for row in sorted(heights, reverse=True):
             bottoms[row] = ypos
             ypos += heights[row]
 
         # set cell positions
-        for (row, col), cell in six.iteritems(self._cells):
+        for (row, col), cell in self._cells.items():
             cell.set_x(lefts[col])
             cell.set_y(bottoms[row])
 
     def auto_set_column_width(self, col):
+        """
+        Automatically set the widths of given columns to optimal sizes.
 
-        self._autoColumns.append(col)
-
-    def _auto_set_column_width(self, col, renderer):
-        """ Automagically set width for column.
+        Parameters
+        ----------
+        col : int or sequence of ints
+            The indices of the columns to auto-scale.
         """
-        cells = [key for key in self._cells if key[1] == col]
+        col1d = np.atleast_1d(col)
+        if not np.issubdtype(col1d.dtype, np.integer):
+            raise TypeError("col must be an int or sequence of ints.")
+        for cell in col1d:
+            self._autoColumns.append(cell)
 
-        # find max width
-        width = 0
-        for cell in cells:
-            c = self._cells[cell]
-            width = max(c.get_required_width(renderer), width)
+        self.stale = True
 
-        # Now set the widths
+    def _auto_set_column_width(self, col, renderer):
+        """Automatically set width for column."""
+        cells = [cell for key, cell in self._cells.items() if key[1] == col]
+        max_width = max((cell.get_required_width(renderer) for cell in cells),
+                        default=0)
         for cell in cells:
-            self._cells[cell].set_width(width)
+            cell.set_width(max_width)
 
     def auto_set_font_size(self, value=True):
-        """ Automatically set font size. """
+        """Automatically set font size."""
         self._autoFontsize = value
+        self.stale = True
 
     def _auto_set_font_size(self, renderer):
 
         if len(self._cells) == 0:
             return
-        fontsize = list(six.itervalues(self._cells))[0].get_fontsize()
+        fontsize = next(iter(self._cells.values())).get_fontsize()
         cells = []
-        for key, cell in six.iteritems(self._cells):
+        for key, cell in self._cells.items():
             # ignore auto-sized columns
             if key[1] in self._autoColumns:
                 continue
@@ -367,29 +532,43 @@ def _auto_set_font_size(self, renderer):
             cells.append(cell)
 
         # now set all fontsizes equal
-        for cell in six.itervalues(self._cells):
+        for cell in self._cells.values():
             cell.set_fontsize(fontsize)
 
     def scale(self, xscale, yscale):
-        """ Scale column widths by xscale and row heights by yscale. """
-        for c in six.itervalues(self._cells):
+        """Scale column widths by *xscale* and row heights by *yscale*."""
+        for c in self._cells.values():
             c.set_width(c.get_width() * xscale)
             c.set_height(c.get_height() * yscale)
 
     def set_fontsize(self, size):
         """
-        Set the fontsize of the cell text
+        Set the font size, in points, of the cell text.
 
-        ACCEPTS: a float in points
-        """
+        Parameters
+        ----------
+        size : float
+
+        Notes
+        -----
+        As long as auto font size has not been disabled, the value will be
+        clipped such that the text fits horizontally into the cell.
+
+        You can disable this behavior using `.auto_set_font_size`.
 
-        for cell in six.itervalues(self._cells):
+        >>> the_table.auto_set_font_size(False)
+        >>> the_table.set_fontsize(20)
+
+        However, there is no automatic scaling of the row height so that the
+        text may exceed the cell boundary.
+        """
+        for cell in self._cells.values():
             cell.set_fontsize(size)
+        self.stale = True
 
     def _offset(self, ox, oy):
-        'Move all the artists by ox,oy (axes coords)'
-
-        for c in six.itervalues(self._cells):
+        """Move all the artists by ox, oy (axes coords)."""
+        for c in self._cells.values():
             x, y = c.get_x(), c.get_y()
             c.set_x(x + ox)
             c.set_y(y + oy)
@@ -413,7 +592,10 @@ def _update_positions(self, renderer):
 
         if self._bbox is not None:
             # Position according to bbox
-            rl, rb, rw, rh = self._bbox
+            if isinstance(self._bbox, Bbox):
+                rl, rb, rw, rh = self._bbox.bounds
+            else:
+                rl, rb, rw, rh = self._bbox
             self.scale(rw / w, rh / h)
             ox = rl - l
             oy = rb - b
@@ -421,7 +603,7 @@ def _update_positions(self, renderer):
         else:
             # Position using loc
             (BEST, UR, UL, LL, LR, CL, CR, LC, UC, C,
-             TR, TL, BL, BR, R, L, T, B) = list(xrange(len(self.codes)))
+             TR, TL, BL, BR, R, L, T, B) = range(len(self.codes))
             # defaults for center
             ox = (0.5 - w / 2) - l
             oy = (0.5 - h / 2) - b
@@ -450,44 +632,145 @@ def _update_positions(self, renderer):
         self._offset(ox, oy)
 
     def get_celld(self):
-        'return a dict of cells in the table'
+        r"""
+        Return a dict of cells in the table mapping *(row, column)* to
+        `.Cell`\s.
+
+        Notes
+        -----
+        You can also directly index into the Table object to access individual
+        cells::
+
+            cell = table[row, col]
+
+        """
         return self._cells
 
 
+@_docstring.interpd
 def table(ax,
-    cellText=None, cellColours=None,
-    cellLoc='right', colWidths=None,
-    rowLabels=None, rowColours=None, rowLoc='left',
-    colLabels=None, colColours=None, colLoc='center',
-    loc='bottom', bbox=None,
-    **kwargs):
-    """
-    TABLE(cellText=None, cellColours=None,
+          cellText=None, cellColours=None,
           cellLoc='right', colWidths=None,
           rowLabels=None, rowColours=None, rowLoc='left',
           colLabels=None, colColours=None, colLoc='center',
-          loc='bottom', bbox=None)
+          loc='bottom', bbox=None, edges='closed',
+          **kwargs):
+    """
+    Add a table to an `~.axes.Axes`.
 
-    Factory function to generate a Table instance.
+    At least one of *cellText* or *cellColours* must be specified. These
+    parameters must be 2D lists, in which the outer lists define the rows and
+    the inner list define the column values per row. Each row must have the
+    same number of elements.
 
-    Thanks to John Gill for providing the class and table.
+    The table can optionally have row and column headers, which are configured
+    using *rowLabels*, *rowColours*, *rowLoc* and *colLabels*, *colColours*,
+    *colLoc* respectively.
+
+    For finer grained control over tables, use the `.Table` class and add it to
+    the Axes with `.Axes.add_table`.
+
+    Parameters
+    ----------
+    cellText : 2D list of str or pandas.DataFrame, optional
+        The texts to place into the table cells.
+
+        *Note*: Line breaks in the strings are currently not accounted for and
+        will result in the text exceeding the cell boundaries.
+
+    cellColours : 2D list of :mpltype:`color`, optional
+        The background colors of the cells.
+
+    cellLoc : {'right', 'center', 'left'}
+        The alignment of the text within the cells.
+
+    colWidths : list of float, optional
+        The column widths in units of the axes. If not given, all columns will
+        have a width of *1 / ncols*.
+
+    rowLabels : list of str, optional
+        The text of the row header cells.
+
+    rowColours : list of :mpltype:`color`, optional
+        The colors of the row header cells.
+
+    rowLoc : {'left', 'center', 'right'}
+        The text alignment of the row header cells.
+
+    colLabels : list of str, optional
+        The text of the column header cells.
+
+    colColours : list of :mpltype:`color`, optional
+        The colors of the column header cells.
+
+    colLoc : {'center', 'left', 'right'}
+        The text alignment of the column header cells.
+
+    loc : str, default: 'bottom'
+        The position of the cell with respect to *ax*. This must be one of
+        the `~.Table.codes`.
+
+    bbox : `.Bbox` or [xmin, ymin, width, height], optional
+        A bounding box to draw the table into. If this is not *None*, this
+        overrides *loc*.
+
+    edges : {'closed', 'open', 'horizontal', 'vertical'} or substring of 'BRTL'
+        The cell edges to be drawn with a line. See also
+        `~.Cell.visible_edges`.
+
+    Returns
+    -------
+    `~matplotlib.table.Table`
+        The created table.
+
+    Other Parameters
+    ----------------
+    **kwargs
+        `.Table` properties.
+
+    %(Table:kwdoc)s
     """
+
+    if cellColours is None and cellText is None:
+        raise ValueError('At least one argument from "cellColours" or '
+                         '"cellText" must be provided to create a table.')
+
     # Check we have some cellText
     if cellText is None:
         # assume just colours are needed
         rows = len(cellColours)
         cols = len(cellColours[0])
-        cellText = [[''] * rows] * cols
+        cellText = [[''] * cols] * rows
+
+    # Check if we have a Pandas DataFrame
+    if _is_pandas_dataframe(cellText):
+        # if rowLabels/colLabels are empty, use DataFrame entries.
+        # Otherwise, throw an error.
+        if rowLabels is None:
+            rowLabels = cellText.index
+        else:
+            raise ValueError("rowLabels cannot be used alongside Pandas DataFrame")
+        if colLabels is None:
+            colLabels = cellText.columns
+        else:
+            raise ValueError("colLabels cannot be used alongside Pandas DataFrame")
+        # Update cellText with only values
+        cellText = cellText.values
 
     rows = len(cellText)
     cols = len(cellText[0])
     for row in cellText:
-        assert len(row) == cols
+        if len(row) != cols:
+            raise ValueError(f"Each row in 'cellText' must have {cols} "
+                             "columns")
 
     if cellColours is not None:
-        assert len(cellColours) == rows
+        if len(cellColours) != rows:
+            raise ValueError(f"'cellColours' must have {rows} rows")
         for row in cellColours:
-            assert len(row) == cols
+            if len(row) != cols:
+                raise ValueError("Each row in 'cellColours' must have "
+                                 f"{cols} columns")
     else:
         cellColours = ['w' * cols] * rows
 
@@ -506,7 +789,8 @@ def table(ax,
         rowColours = 'w' * rows
 
     if rowLabels is not None:
-        assert len(rowLabels) == rows
+        if len(rowLabels) != rows:
+            raise ValueError(f"'rowLabels' must be of length {rows}")
 
     # If we have column labels, need to shift
     # the text and colour arrays down 1 row
@@ -519,20 +803,18 @@ def table(ax,
     elif colColours is None:
         colColours = 'w' * cols
 
-    if rowLabels is not None:
-        assert len(rowLabels) == rows
-
     # Set up cell colours if not given
     if cellColours is None:
         cellColours = ['w' * cols] * rows
 
     # Now create the table
     table = Table(ax, loc, bbox, **kwargs)
+    table.edges = edges
     height = table._approx_text_height()
 
     # Add the cells
-    for row in xrange(rows):
-        for col in xrange(cols):
+    for row in range(rows):
+        for col in range(cols):
             table.add_cell(row + offset, col,
                            width=colWidths[col], height=height,
                            text=cellText[row][col],
@@ -540,7 +822,7 @@ def table(ax,
                            loc=cellLoc)
     # Do column labels
     if colLabels is not None:
-        for col in xrange(cols):
+        for col in range(cols):
             table.add_cell(0, col,
                            width=colWidths[col], height=height,
                            text=colLabels[col], facecolor=colColours[col],
@@ -548,7 +830,7 @@ def table(ax,
 
     # Do row labels
     if rowLabels is not None:
-        for row in xrange(rows):
+        for row in range(rows):
             table.add_cell(row + offset, -1,
                            width=rowLabelWidth or 1e-15, height=height,
                            text=rowLabels[row], facecolor=rowColours[row],
@@ -556,8 +838,9 @@ def table(ax,
         if rowLabelWidth == 0:
             table.auto_set_column_width(-1)
 
+    # set_fontsize is only effective after cells are added
+    if "fontsize" in kwargs:
+        table.set_fontsize(kwargs["fontsize"])
+
     ax.add_table(table)
     return table
-
-
-docstring.interpd.update(Table=artist.kwdoc(Table))
diff --git a/lib/matplotlib/table.pyi b/lib/matplotlib/table.pyi
new file mode 100644
index 000000000000..167d98d3c4cb
--- /dev/null
+++ b/lib/matplotlib/table.pyi
@@ -0,0 +1,87 @@
+from .artist import Artist
+from .axes import Axes
+from .backend_bases import RendererBase
+from .patches import Rectangle
+from .path import Path
+from .text import Text
+from .transforms import Bbox
+from .typing import ColorType
+
+from collections.abc import Sequence
+from typing import Any, Literal
+
+from pandas import DataFrame
+
+class Cell(Rectangle):
+    PAD: float
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        width: float,
+        height: float,
+        *,
+        edgecolor: ColorType = ...,
+        facecolor: ColorType = ...,
+        fill: bool = ...,
+        text: str = ...,
+        loc: Literal["left", "center", "right"] = ...,
+        fontproperties: dict[str, Any] | None = ...,
+        visible_edges: str | None = ...
+    ) -> None: ...
+    def get_text(self) -> Text: ...
+    def set_fontsize(self, size: float) -> None: ...
+    def get_fontsize(self) -> float: ...
+    def auto_set_font_size(self, renderer: RendererBase) -> float: ...
+    def get_text_bounds(
+        self, renderer: RendererBase
+    ) -> tuple[float, float, float, float]: ...
+    def get_required_width(self, renderer: RendererBase) -> float: ...
+    def set_text_props(self, **kwargs) -> None: ...
+    @property
+    def visible_edges(self) -> str: ...
+    @visible_edges.setter
+    def visible_edges(self, value: str | None) -> None: ...
+    def get_path(self) -> Path: ...
+
+CustomCell = Cell
+
+class Table(Artist):
+    codes: dict[str, int]
+    FONTSIZE: float
+    AXESPAD: float
+    def __init__(
+        self, ax: Axes, loc: str | None = ..., bbox: Bbox | None = ..., **kwargs
+    ) -> None: ...
+    def add_cell(self, row: int, col: int, *args, **kwargs) -> Cell: ...
+    def __setitem__(self, position: tuple[int, int], cell: Cell) -> None: ...
+    def __getitem__(self, position: tuple[int, int]) -> Cell: ...
+    @property
+    def edges(self) -> str | None: ...
+    @edges.setter
+    def edges(self, value: str | None) -> None: ...
+    def draw(self, renderer) -> None: ...
+    def get_children(self) -> list[Artist]: ...
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
+    def auto_set_column_width(self, col: int | Sequence[int]) -> None: ...
+    def auto_set_font_size(self, value: bool = ...) -> None: ...
+    def scale(self, xscale: float, yscale: float) -> None: ...
+    def set_fontsize(self, size: float) -> None: ...
+    def get_celld(self) -> dict[tuple[int, int], Cell]: ...
+
+def table(
+    ax: Axes,
+    cellText: Sequence[Sequence[str]] | DataFrame | None = ...,
+    cellColours: Sequence[Sequence[ColorType]] | None = ...,
+    cellLoc: Literal["left", "center", "right"] = ...,
+    colWidths: Sequence[float] | None = ...,
+    rowLabels: Sequence[str] | None = ...,
+    rowColours: Sequence[ColorType] | None = ...,
+    rowLoc: Literal["left", "center", "right"] = ...,
+    colLabels: Sequence[str] | None = ...,
+    colColours: Sequence[ColorType] | None = ...,
+    colLoc: Literal["left", "center", "right"] = ...,
+    loc: str = ...,
+    bbox: Bbox | None = ...,
+    edges: str = ...,
+    **kwargs
+) -> Table: ...
diff --git a/lib/matplotlib/testing/__init__.py b/lib/matplotlib/testing/__init__.py
index 800d82e7ee00..d6affb1b039f 100644
--- a/lib/matplotlib/testing/__init__.py
+++ b/lib/matplotlib/testing/__init__.py
@@ -1,2 +1,277 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+"""
+Helper functions for testing.
+"""
+import itertools
+import locale
+import logging
+import os
+from pathlib import Path
+import string
+import subprocess
+import sys
+from tempfile import TemporaryDirectory
+
+import matplotlib as mpl
+from matplotlib import _api
+
+_log = logging.getLogger(__name__)
+
+
+def set_font_settings_for_testing():
+    mpl.rcParams['font.family'] = 'DejaVu Sans'
+    mpl.rcParams['text.hinting'] = 'none'
+    mpl.rcParams['text.hinting_factor'] = 8
+
+
+def set_reproducibility_for_testing():
+    mpl.rcParams['svg.hashsalt'] = 'matplotlib'
+
+
+def setup():
+    # The baseline images are created in this locale, so we should use
+    # it during all of the tests.
+
+    try:
+        locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')
+    except locale.Error:
+        try:
+            locale.setlocale(locale.LC_ALL, 'English_United States.1252')
+        except locale.Error:
+            _log.warning(
+                "Could not set locale to English/United States. "
+                "Some date-related tests may fail.")
+
+    mpl.use('Agg')
+
+    with _api.suppress_matplotlib_deprecation_warning():
+        mpl.rcdefaults()  # Start with all defaults
+
+    # These settings *must* be hardcoded for running the comparison tests and
+    # are not necessarily the default values as specified in rcsetup.py.
+    set_font_settings_for_testing()
+    set_reproducibility_for_testing()
+
+
+def subprocess_run_for_testing(command, env=None, timeout=60, stdout=None,
+                               stderr=None, check=False, text=True,
+                               capture_output=False):
+    """
+    Create and run a subprocess.
+
+    Thin wrapper around `subprocess.run`, intended for testing.  Will
+    mark fork() failures on Cygwin as expected failures: not a
+    success, but not indicating a problem with the code either.
+
+    Parameters
+    ----------
+    args : list of str
+    env : dict[str, str]
+    timeout : float
+    stdout, stderr
+    check : bool
+    text : bool
+        Also called ``universal_newlines`` in subprocess.  I chose this
+        name since the main effect is returning bytes (`False`) vs. str
+        (`True`), though it also tries to normalize newlines across
+        platforms.
+    capture_output : bool
+        Set stdout and stderr to subprocess.PIPE
+
+    Returns
+    -------
+    proc : subprocess.Popen
+
+    See Also
+    --------
+    subprocess.run
+
+    Raises
+    ------
+    pytest.xfail
+        If platform is Cygwin and subprocess reports a fork() failure.
+    """
+    if capture_output:
+        stdout = stderr = subprocess.PIPE
+    try:
+        proc = subprocess.run(
+            command, env=env,
+            timeout=timeout, check=check,
+            stdout=stdout, stderr=stderr,
+            text=text
+        )
+    except BlockingIOError:
+        if sys.platform == "cygwin":
+            # Might want to make this more specific
+            import pytest
+            pytest.xfail("Fork failure")
+        raise
+    return proc
+
+
+def subprocess_run_helper(func, *args, timeout, extra_env=None):
+    """
+    Run a function in a sub-process.
+
+    Parameters
+    ----------
+    func : function
+        The function to be run.  It must be in a module that is importable.
+    *args : str
+        Any additional command line arguments to be passed in
+        the first argument to ``subprocess.run``.
+    extra_env : dict[str, str]
+        Any additional environment variables to be set for the subprocess.
+    """
+    target = func.__name__
+    module = func.__module__
+    file = func.__code__.co_filename
+    proc = subprocess_run_for_testing(
+        [
+            sys.executable,
+            "-c",
+            f"import importlib.util;"
+            f"_spec = importlib.util.spec_from_file_location({module!r}, {file!r});"
+            f"_module = importlib.util.module_from_spec(_spec);"
+            f"_spec.loader.exec_module(_module);"
+            f"_module.{target}()",
+            *args
+        ],
+        env={**os.environ, "SOURCE_DATE_EPOCH": "0", **(extra_env or {})},
+        timeout=timeout, check=True,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True
+    )
+    return proc
+
+
+def _check_for_pgf(texsystem):
+    """
+    Check if a given TeX system + pgf is available
+
+    Parameters
+    ----------
+    texsystem : str
+        The executable name to check
+    """
+    with TemporaryDirectory() as tmpdir:
+        tex_path = Path(tmpdir, "test.tex")
+        tex_path.write_text(r"""
+            \documentclass{article}
+            \usepackage{pgf}
+            \begin{document}
+            \typeout{pgfversion=\pgfversion}
+            \makeatletter
+            \@@end
+        """, encoding="utf-8")
+        try:
+            subprocess.check_call(
+                [texsystem, "-halt-on-error", str(tex_path)], cwd=tmpdir,
+                stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+        except (OSError, subprocess.CalledProcessError):
+            return False
+        return True
+
+
+def _has_tex_package(package):
+    try:
+        mpl.dviread.find_tex_file(f"{package}.sty")
+        return True
+    except FileNotFoundError:
+        return False
+
+
+def ipython_in_subprocess(requested_backend_or_gui_framework, all_expected_backends):
+    import pytest
+    IPython = pytest.importorskip("IPython")
+
+    if sys.platform == "win32":
+        pytest.skip("Cannot change backend running IPython in subprocess on Windows")
+
+    if (IPython.version_info[:3] == (8, 24, 0) and
+            requested_backend_or_gui_framework == "osx"):
+        pytest.skip("Bug using macosx backend in IPython 8.24.0 fixed in 8.24.1")
+
+    # This code can be removed when Python 3.12, the latest version supported
+    # by IPython < 8.24, reaches end-of-life in late 2028.
+    for min_version, backend in all_expected_backends.items():
+        if IPython.version_info[:2] >= min_version:
+            expected_backend = backend
+            break
+
+    code = ("import matplotlib as mpl, matplotlib.pyplot as plt;"
+            "fig, ax=plt.subplots(); ax.plot([1, 3, 2]); mpl.get_backend()")
+    proc = subprocess_run_for_testing(
+        [
+            "ipython",
+            "--no-simple-prompt",
+            f"--matplotlib={requested_backend_or_gui_framework}",
+            "-c", code,
+        ],
+        check=True,
+        capture_output=True,
+    )
+
+    assert proc.stdout.strip().endswith(f"'{expected_backend}'")
+
+
+def is_ci_environment():
+    # Common CI variables
+    ci_environment_variables = [
+        'CI',        # Generic CI environment variable
+        'CONTINUOUS_INTEGRATION',  # Generic CI environment variable
+        'TRAVIS',    # Travis CI
+        'CIRCLECI',  # CircleCI
+        'JENKINS',   # Jenkins
+        'GITLAB_CI',  # GitLab CI
+        'GITHUB_ACTIONS',  # GitHub Actions
+        'TEAMCITY_VERSION'  # TeamCity
+        # Add other CI environment variables as needed
+    ]
+
+    for env_var in ci_environment_variables:
+        if os.getenv(env_var):
+            return True
+
+    return False
+
+
+def _gen_multi_font_text():
+    """
+    Generate text intended for use with multiple fonts to exercise font fallbacks.
+
+    Returns
+    -------
+    fonts : list of str
+        The names of the fonts used to render the test string, sorted by intended
+        priority. This should be set as the font family for the Figure or Text artist.
+    text : str
+        The test string.
+    """
+    # These fonts are serif and sans-serif, and would not normally be combined, but that
+    # should make it easier to see which glyph is from which font.
+    fonts = ['cmr10', 'DejaVu Sans']
+    # cmr10 does not contain accented characters, so they should fall back to DejaVu
+    # Sans. However, some accented capital A versions *are* in cmr10 with non-standard
+    # glyph shapes, so don't test those (otherwise this Latin1 supplement group would
+    # start at 0xA0.)
+    start = 0xC5
+    latin1_supplement = [chr(x) for x in range(start, 0xFF+1)]
+    latin_extended_A = [chr(x) for x in range(0x100, 0x17F+1)]
+    latin_extended_B = [chr(x) for x in range(0x180, 0x24F+1)]
+    count = itertools.count(start - 0xA0)
+    non_basic_characters = '\n'.join(
+        ''.join(line)
+        for _, line in itertools.groupby(  # Replace with itertools.batched for Py3.12+.
+            [*latin1_supplement, *latin_extended_A, *latin_extended_B],
+            key=lambda x: next(count) // 32)  # 32 characters per line.
+    )
+    test_str = f"""There are basic characters
+{string.ascii_uppercase} {string.ascii_lowercase}
+{string.digits} {string.punctuation}
+and accented characters
+{non_basic_characters}
+in between!"""
+    # The resulting string contains 491 unique characters. Some file formats use 8-bit
+    # tables, which the large number of characters exercises twice over.
+    return fonts, test_str
diff --git a/lib/matplotlib/testing/__init__.pyi b/lib/matplotlib/testing/__init__.pyi
new file mode 100644
index 000000000000..7763cb6a9769
--- /dev/null
+++ b/lib/matplotlib/testing/__init__.pyi
@@ -0,0 +1,55 @@
+from collections.abc import Callable
+import subprocess
+from typing import Any, IO, Literal, overload
+
+def set_font_settings_for_testing() -> None: ...
+def set_reproducibility_for_testing() -> None: ...
+def setup() -> None: ...
+@overload
+def subprocess_run_for_testing(
+    command: list[str],
+    env: dict[str, str] | None = ...,
+    timeout: float | None = ...,
+    stdout: int | IO[Any] | None = ...,
+    stderr: int | IO[Any] | None = ...,
+    check: bool = ...,
+    *,
+    text: Literal[True],
+    capture_output: bool = ...,
+) -> subprocess.CompletedProcess[str]: ...
+@overload
+def subprocess_run_for_testing(
+    command: list[str],
+    env: dict[str, str] | None = ...,
+    timeout: float | None = ...,
+    stdout: int | IO[Any] | None = ...,
+    stderr: int | IO[Any] | None = ...,
+    check: bool = ...,
+    text: Literal[False] = ...,
+    capture_output: bool = ...,
+) -> subprocess.CompletedProcess[bytes]: ...
+@overload
+def subprocess_run_for_testing(
+    command: list[str],
+    env: dict[str, str] | None = ...,
+    timeout: float | None = ...,
+    stdout: int | IO[Any] | None = ...,
+    stderr: int | IO[Any] | None = ...,
+    check: bool = ...,
+    text: bool = ...,
+    capture_output: bool = ...,
+) -> subprocess.CompletedProcess[bytes] | subprocess.CompletedProcess[str]: ...
+def subprocess_run_helper(
+    func: Callable[[], None],
+    *args: Any,
+    timeout: float,
+    extra_env: dict[str, str] | None = ...,
+) -> subprocess.CompletedProcess[str]: ...
+def _check_for_pgf(texsystem: str) -> bool: ...
+def _has_tex_package(package: str) -> bool: ...
+def ipython_in_subprocess(
+    requested_backend_or_gui_framework: str,
+    all_expected_backends: dict[tuple[int, int], str],
+) -> None: ...
+def is_ci_environment() -> bool: ...
+def _gen_multi_font_text() -> tuple[list[str], str]: ...
diff --git a/lib/matplotlib/testing/_markers.py b/lib/matplotlib/testing/_markers.py
new file mode 100644
index 000000000000..c7ef8687a8b3
--- /dev/null
+++ b/lib/matplotlib/testing/_markers.py
@@ -0,0 +1,49 @@
+"""
+pytest markers for the internal Matplotlib test suite.
+"""
+
+import logging
+import shutil
+
+import pytest
+
+import matplotlib.testing
+import matplotlib.testing.compare
+from matplotlib import _get_executable_info, ExecutableNotFoundError
+
+
+_log = logging.getLogger(__name__)
+
+
+def _checkdep_usetex() -> bool:
+    if not shutil.which("tex"):
+        _log.warning("usetex mode requires TeX.")
+        return False
+    try:
+        _get_executable_info("dvipng")
+    except ExecutableNotFoundError:
+        _log.warning("usetex mode requires dvipng.")
+        return False
+    try:
+        _get_executable_info("gs")
+    except ExecutableNotFoundError:
+        _log.warning("usetex mode requires ghostscript.")
+        return False
+    return True
+
+
+needs_ghostscript = pytest.mark.skipif(
+    "eps" not in matplotlib.testing.compare.converter,
+    reason="This test needs a ghostscript installation")
+needs_pgf_lualatex = pytest.mark.skipif(
+    not matplotlib.testing._check_for_pgf('lualatex'),
+    reason='lualatex + pgf is required')
+needs_pgf_pdflatex = pytest.mark.skipif(
+    not matplotlib.testing._check_for_pgf('pdflatex'),
+    reason='pdflatex + pgf is required')
+needs_pgf_xelatex = pytest.mark.skipif(
+    not matplotlib.testing._check_for_pgf('xelatex'),
+    reason='xelatex + pgf is required')
+needs_usetex = pytest.mark.skipif(
+    not _checkdep_usetex(),
+    reason="This test needs a TeX installation")
diff --git a/lib/matplotlib/testing/compare.py b/lib/matplotlib/testing/compare.py
index e02f3c2f3c34..67897e76edcb 100644
--- a/lib/matplotlib/testing/compare.py
+++ b/lib/matplotlib/testing/compare.py
@@ -1,263 +1,409 @@
 """
-Provides a collection of utilities for comparing (image) results.
-
+Utilities for comparing image results.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
 
+import atexit
+import functools
 import hashlib
+import logging
 import os
+from pathlib import Path
 import shutil
+import subprocess
+import sys
+from tempfile import TemporaryDirectory, TemporaryFile
+import weakref
+import re
 
 import numpy as np
+from PIL import Image
 
-import matplotlib
-from matplotlib.compat import subprocess
-from matplotlib.testing.noseclasses import ImageComparisonFailure
-from matplotlib import _png
-from matplotlib import _get_cachedir
+import matplotlib as mpl
 from matplotlib import cbook
-from distutils import version
+from matplotlib.testing.exceptions import ImageComparisonFailure
 
-__all__ = ['compare_float', 'compare_images', 'comparable_formats']
+_log = logging.getLogger(__name__)
+
+__all__ = ['calculate_rms', 'comparable_formats', 'compare_images']
 
 
 def make_test_filename(fname, purpose):
     """
-    Make a new filename by inserting `purpose` before the file's
-    extension.
+    Make a new filename by inserting *purpose* before the file's extension.
     """
     base, ext = os.path.splitext(fname)
-    return '%s-%s%s' % (base, purpose, ext)
+    return f'{base}-{purpose}{ext}'
 
 
-def compare_float(expected, actual, relTol=None, absTol=None):
-    """
-    Fail if the floating point values are not close enough, with
-    the given message.
-
-    You can specify a relative tolerance, absolute tolerance, or both.
-
-    """
-    if relTol is None and absTol is None:
-        raise ValueError("You haven't specified a 'relTol' relative "
-                         "tolerance or a 'absTol' absolute tolerance "
-                         "function argument. You must specify one.")
-    msg = ""
-
-    if absTol is not None:
-        absDiff = abs(expected - actual)
-        if absTol < absDiff:
-            template = ['',
-                        'Expected: {expected}',
-                        'Actual:   {actual}',
-                        'Abs diff: {absDiff}',
-                        'Abs tol:  {absTol}']
-            msg += '\n  '.join([line.format(**locals()) for line in template])
-
-    if relTol is not None:
-        # The relative difference of the two values.  If the expected value is
-        # zero, then return the absolute value of the difference.
-        relDiff = abs(expected - actual)
-        if expected:
-            relDiff = relDiff / abs(expected)
-
-        if relTol < relDiff:
-            # The relative difference is a ratio, so it's always unit-less.
-            template = ['',
-                        'Expected: {expected}',
-                        'Actual:   {actual}',
-                        'Rel diff: {relDiff}',
-                        'Rel tol:  {relTol}']
-            msg += '\n  '.join([line.format(**locals()) for line in template])
-
-    return msg or None
+def _get_cache_path():
+    cache_dir = Path(mpl.get_cachedir(), 'test_cache')
+    cache_dir.mkdir(parents=True, exist_ok=True)
+    return cache_dir
 
 
 def get_cache_dir():
-    cachedir = _get_cachedir()
-    if cachedir is None:
-        raise RuntimeError('Could not find a suitable configuration directory')
-    cache_dir = os.path.join(cachedir, 'test_cache')
-    if not os.path.exists(cache_dir):
-        try:
-            cbook.mkdirs(cache_dir)
-        except IOError:
-            return None
-    if not os.access(cache_dir, os.W_OK):
-        return None
-    return cache_dir
+    return str(_get_cache_path())
 
 
 def get_file_hash(path, block_size=2 ** 20):
-    md5 = hashlib.md5()
+    sha256 = hashlib.sha256(usedforsecurity=False)
     with open(path, 'rb') as fd:
         while True:
             data = fd.read(block_size)
             if not data:
                 break
-            md5.update(data)
-    return md5.hexdigest()
+            sha256.update(data)
+
+    if Path(path).suffix == '.pdf':
+        sha256.update(str(mpl._get_executable_info("gs").version).encode('utf-8'))
+    elif Path(path).suffix == '.svg':
+        sha256.update(str(mpl._get_executable_info("inkscape").version).encode('utf-8'))
+
+    return sha256.hexdigest()
+
+
+class _ConverterError(Exception):
+    pass
+
+
+class _Converter:
+    def __init__(self):
+        self._proc = None
+        # Explicitly register deletion from an atexit handler because if we
+        # wait until the object is GC'd (which occurs later), then some module
+        # globals (e.g. signal.SIGKILL) has already been set to None, and
+        # kill() doesn't work anymore...
+        atexit.register(self.__del__)
+
+    def __del__(self):
+        if self._proc:
+            self._proc.kill()
+            self._proc.wait()
+            for stream in filter(None, [self._proc.stdin,
+                                        self._proc.stdout,
+                                        self._proc.stderr]):
+                stream.close()
+            self._proc = None
+
+    def _read_until(self, terminator):
+        """Read until the prompt is reached."""
+        buf = bytearray()
+        while True:
+            c = self._proc.stdout.read(1)
+            if not c:
+                raise _ConverterError(os.fsdecode(bytes(buf)))
+            buf.extend(c)
+            if buf.endswith(terminator):
+                return bytes(buf)
 
 
-def make_external_conversion_command(cmd):
-    def convert(old, new):
-        cmdline = cmd(old, new)
-        pipe = subprocess.Popen(
-            cmdline, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-        stdout, stderr = pipe.communicate()
-        errcode = pipe.wait()
-        if not os.path.exists(new) or errcode:
-            msg = "Conversion command failed:\n%s\n" % ' '.join(cmdline)
-            if stdout:
-                msg += "Standard output:\n%s\n" % stdout
-            if stderr:
-                msg += "Standard error:\n%s\n" % stderr
-            raise IOError(msg)
+class _MagickConverter:
+    def __call__(self, orig, dest):
+        try:
+            subprocess.run(
+                [mpl._get_executable_info("magick").executable, orig, dest],
+                check=True)
+        except subprocess.CalledProcessError as e:
+            raise _ConverterError() from e
+
+
+class _GSConverter(_Converter):
+    def __call__(self, orig, dest):
+        if not self._proc:
+            self._proc = subprocess.Popen(
+                [mpl._get_executable_info("gs").executable,
+                 "-dNOSAFER", "-dNOPAUSE", "-dEPSCrop", "-sDEVICE=png16m"],
+                # As far as I can see, ghostscript never outputs to stderr.
+                stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+            try:
+                self._read_until(b"\nGS")
+            except _ConverterError as e:
+                raise OSError(f"Failed to start Ghostscript:\n\n{e.args[0]}") from None
+
+        def encode_and_escape(name):
+            return (os.fsencode(name)
+                    .replace(b"\\", b"\\\\")
+                    .replace(b"(", br"\(")
+                    .replace(b")", br"\)"))
+
+        self._proc.stdin.write(
+            b"<< /OutputFile ("
+            + encode_and_escape(dest)
+            + b") >> setpagedevice ("
+            + encode_and_escape(orig)
+            + b") run flush\n")
+        self._proc.stdin.flush()
+        # GS> if nothing left on the stack; GS<n> if n items left on the stack.
+        err = self._read_until((b"GS<", b"GS>"))
+        stack = self._read_until(b">") if err.endswith(b"GS<") else b""
+        if stack or not os.path.exists(dest):
+            stack_size = int(stack[:-1]) if stack else 0
+            self._proc.stdin.write(b"pop\n" * stack_size)
+            # Using the systemencoding should at least get the filenames right.
+            raise ImageComparisonFailure(
+                (err + stack).decode(sys.getfilesystemencoding(), "replace"))
+
+
+class _SVGConverter(_Converter):
+    def __call__(self, orig, dest):
+        old_inkscape = mpl._get_executable_info("inkscape").version.major < 1
+        terminator = b"\n>" if old_inkscape else b"> "
+        if not hasattr(self, "_tmpdir"):
+            self._tmpdir = TemporaryDirectory()
+            # On Windows, we must make sure that self._proc has terminated
+            # (which __del__ does) before clearing _tmpdir.
+            weakref.finalize(self._tmpdir, self.__del__)
+        if (not self._proc  # First run.
+                or self._proc.poll() is not None):  # Inkscape terminated.
+            if self._proc is not None and self._proc.poll() is not None:
+                for stream in filter(None, [self._proc.stdin,
+                                            self._proc.stdout,
+                                            self._proc.stderr]):
+                    stream.close()
+            env = {
+                **os.environ,
+                # If one passes e.g. a png file to Inkscape, it will try to
+                # query the user for conversion options via a GUI (even with
+                # `--without-gui`).  Unsetting `DISPLAY` prevents this (and
+                # causes GTK to crash and Inkscape to terminate, but that'll
+                # just be reported as a regular exception below).
+                "DISPLAY": "",
+                # Do not load any user options.
+                "INKSCAPE_PROFILE_DIR": self._tmpdir.name,
+            }
+            # Old versions of Inkscape (e.g. 0.48.3.1) seem to sometimes
+            # deadlock when stderr is redirected to a pipe, so we redirect it
+            # to a temporary file instead.  This is not necessary anymore as of
+            # Inkscape 0.92.1.
+            stderr = TemporaryFile()
+            self._proc = subprocess.Popen(
+                ["inkscape", "--without-gui", "--shell"] if old_inkscape else
+                ["inkscape", "--shell"],
+                stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=stderr,
+                env=env, cwd=self._tmpdir.name)
+            # Slight abuse, but makes shutdown handling easier.
+            self._proc.stderr = stderr
+            try:
+                self._read_until(terminator)
+            except _ConverterError as err:
+                raise OSError(
+                    "Failed to start Inkscape in interactive mode:\n\n"
+                    + err.args[0]) from err
+
+        # Inkscape's shell mode does not support escaping metacharacters in the
+        # filename ("\n", and ":;" for inkscape>=1).  Avoid any problems by
+        # running from a temporary directory and using fixed filenames.
+        inkscape_orig = Path(self._tmpdir.name, os.fsdecode(b"f.svg"))
+        inkscape_dest = Path(self._tmpdir.name, os.fsdecode(b"f.png"))
+        try:
+            inkscape_orig.symlink_to(Path(orig).resolve())
+        except OSError:
+            shutil.copyfile(orig, inkscape_orig)
+        self._proc.stdin.write(
+            b"f.svg --export-png=f.png\n" if old_inkscape else
+            b"file-open:f.svg;export-filename:f.png;export-do;file-close\n")
+        self._proc.stdin.flush()
+        try:
+            self._read_until(terminator)
+        except _ConverterError as err:
+            # Inkscape's output is not localized but gtk's is, so the output
+            # stream probably has a mixed encoding.  Using the filesystem
+            # encoding should at least get the filenames right...
+            self._proc.stderr.seek(0)
+            raise ImageComparisonFailure(
+                self._proc.stderr.read().decode(
+                    sys.getfilesystemencoding(), "replace")) from err
+        os.remove(inkscape_orig)
+        shutil.move(inkscape_dest, dest)
+
+    def __del__(self):
+        super().__del__()
+        if hasattr(self, "_tmpdir"):
+            self._tmpdir.cleanup()
+
+
+class _SVGWithMatplotlibFontsConverter(_SVGConverter):
+    """
+    A SVG converter which explicitly adds the fonts shipped by Matplotlib to
+    Inkspace's font search path, to better support `svg.fonttype = "none"`
+    (which is in particular used by certain mathtext tests).
+    """
 
-    return convert
+    def __call__(self, orig, dest):
+        if not hasattr(self, "_tmpdir"):
+            self._tmpdir = TemporaryDirectory()
+            shutil.copytree(cbook._get_data_path("fonts/ttf"),
+                            Path(self._tmpdir.name, "fonts"))
+        return super().__call__(orig, dest)
 
 
 def _update_converter():
-    gs, gs_v = matplotlib.checkdep_ghostscript()
-    if gs_v is not None:
-        cmd = lambda old, new: \
-            [gs, '-q', '-sDEVICE=png16m', '-dNOPAUSE', '-dBATCH',
-             '-sOutputFile=' + new, old]
-        converter['pdf'] = make_external_conversion_command(cmd)
-        converter['eps'] = make_external_conversion_command(cmd)
-
-    if matplotlib.checkdep_inkscape() is not None:
-        cmd = lambda old, new: \
-            ['inkscape', '-z', old, '--export-png', new]
-        converter['svg'] = make_external_conversion_command(cmd)
-
-
-#: A dictionary that maps filename extensions to functions which
-#: themselves map arguments `old` and `new` (filenames) to a list of strings.
-#: The list can then be passed to Popen to convert files with that
-#: extension to png format.
+    try:
+        mpl._get_executable_info("magick")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        converter['gif'] = _MagickConverter()
+    try:
+        mpl._get_executable_info("gs")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        converter['pdf'] = converter['eps'] = _GSConverter()
+    try:
+        mpl._get_executable_info("inkscape")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        converter['svg'] = _SVGConverter()
+
+
+#: A dictionary that maps filename extensions to functions which themselves
+#: convert between arguments `old` and `new` (filenames).
 converter = {}
 _update_converter()
+_svg_with_matplotlib_fonts_converter = _SVGWithMatplotlibFontsConverter()
 
 
 def comparable_formats():
     """
-    Returns the list of file formats that compare_images can compare
+    Return the list of file formats that `.compare_images` can compare
     on this system.
 
+    Returns
+    -------
+    list of str
+        E.g. ``['png', 'pdf', 'svg', 'eps']``.
+
     """
-    return ['png'] + list(six.iterkeys(converter))
+    return ['png', *converter]
 
 
 def convert(filename, cache):
     """
-    Convert the named file into a png file.  Returns the name of the
-    created file.
+    Convert the named file to png; return the name of the created file.
 
     If *cache* is True, the result of the conversion is cached in
-    `matplotlib._get_cachedir() + '/test_cache/'`.  The caching is based
-    on a hash of the exact contents of the input file.  The is no limit
-    on the size of the cache, so it may need to be manually cleared
-    periodically.
-
+    `matplotlib.get_cachedir() + '/test_cache/'`.  The caching is based on a
+    hash of the exact contents of the input file.  Old cache entries are
+    automatically deleted as needed to keep the size of the cache capped to
+    twice the size of all baseline images.
     """
-    base, extension = filename.rsplit('.', 1)
-    if extension not in converter:
-        raise ImageComparisonFailure(
-            "Don't know how to convert %s files to png" % extension)
-    newname = base + '_' + extension + '.png'
-    if not os.path.exists(filename):
-        raise IOError("'%s' does not exist" % filename)
+    path = Path(filename)
+    if not path.exists():
+        raise OSError(f"{path} does not exist")
+    if path.suffix[1:] not in converter:
+        import pytest
+        pytest.skip(f"Don't know how to convert {path.suffix} files to png")
+    newpath = path.parent / f"{path.stem}_{path.suffix[1:]}.png"
 
     # Only convert the file if the destination doesn't already exist or
     # is out of date.
-    if (not os.path.exists(newname) or
-            os.stat(newname).st_mtime < os.stat(filename).st_mtime):
-        if cache:
-            cache_dir = get_cache_dir()
-        else:
-            cache_dir = None
+    if not newpath.exists() or newpath.stat().st_mtime < path.stat().st_mtime:
+        cache_dir = _get_cache_path() if cache else None
 
         if cache_dir is not None:
-            hash_value = get_file_hash(filename)
-            new_ext = os.path.splitext(newname)[1]
-            cached_file = os.path.join(cache_dir, hash_value + new_ext)
-            if os.path.exists(cached_file):
-                shutil.copyfile(cached_file, newname)
-                return newname
-
-        converter[extension](filename, newname)
+            _register_conversion_cache_cleaner_once()
+            hash_value = get_file_hash(path)
+            cached_path = cache_dir / (hash_value + newpath.suffix)
+            if cached_path.exists():
+                _log.debug("For %s: reusing cached conversion.", filename)
+                shutil.copyfile(cached_path, newpath)
+                return str(newpath)
+
+        _log.debug("For %s: converting to png.", filename)
+        convert = converter[path.suffix[1:]]
+        if path.suffix == ".svg":
+            contents = path.read_text(encoding="utf-8")
+            # NOTE: This check should be kept in sync with font styling in
+            # `lib/matplotlib/backends/backend_svg.py`. If it changes, then be sure to
+            # re-generate any SVG test files using this mode, or else such tests will
+            # fail to use the converter for the expected images (but will for the
+            # results), and the tests will fail strangely.
+            if re.search(
+                # searches for attributes :
+                #   style=[font|font-size|font-weight|
+                #          font-family|font-variant|font-style]
+                # taking care of the possibility of multiple style attributes
+                # before the font styling (i.e. opacity)
+                r'style="[^"]*font(|-size|-weight|-family|-variant|-style):',
+                contents  # raw contents of the svg file
+                    ):
+                # for svg.fonttype = none, we explicitly patch the font search
+                # path so that fonts shipped by Matplotlib are found.
+                convert = _svg_with_matplotlib_fonts_converter
+        convert(path, newpath)
 
         if cache_dir is not None:
-            shutil.copyfile(newname, cached_file)
-
-    return newname
-
-#: Maps file extensions to a function which takes a filename as its
-#: only argument to return a list suitable for execution with Popen.
-#: The purpose of this is so that the result file (with the given
-#: extension) can be verified with tools such as xmllint for svg.
-verifiers = {}
-
-# Turning this off, because it seems to cause multiprocessing issues
-if matplotlib.checkdep_xmllint() and False:
-    verifiers['svg'] = lambda filename: [
-        'xmllint', '--valid', '--nowarning', '--noout', filename]
-
-
-def verify(filename):
-    """Verify the file through some sort of verification tool."""
-    if not os.path.exists(filename):
-        raise IOError("'%s' does not exist" % filename)
-    base, extension = filename.rsplit('.', 1)
-    verifier = verifiers.get(extension, None)
-    if verifier is not None:
-        cmd = verifier(filename)
-        pipe = subprocess.Popen(
-            cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-        stdout, stderr = pipe.communicate()
-        errcode = pipe.wait()
-        if errcode != 0:
-            msg = "File verification command failed:\n%s\n" % ' '.join(cmd)
-            if stdout:
-                msg += "Standard output:\n%s\n" % stdout
-            if stderr:
-                msg += "Standard error:\n%s\n" % stderr
-            raise IOError(msg)
+            _log.debug("For %s: caching conversion result.", filename)
+            shutil.copyfile(newpath, cached_path)
+
+    return str(newpath)
+
+
+def _clean_conversion_cache():
+    # This will actually ignore mpl_toolkits baseline images, but they're
+    # relatively small.
+    baseline_images_size = sum(
+        path.stat().st_size
+        for path in Path(mpl.__file__).parent.glob("**/baseline_images/**/*"))
+    # 2x: one full copy of baselines, and one full copy of test results
+    # (actually an overestimate: we don't convert png baselines and results).
+    max_cache_size = 2 * baseline_images_size
+    # Reduce cache until it fits.
+    with cbook._lock_path(_get_cache_path()):
+        cache_stat = {
+            path: path.stat() for path in _get_cache_path().glob("*")}
+        cache_size = sum(stat.st_size for stat in cache_stat.values())
+        paths_by_atime = sorted(  # Oldest at the end.
+            cache_stat, key=lambda path: cache_stat[path].st_atime,
+            reverse=True)
+        while cache_size > max_cache_size:
+            path = paths_by_atime.pop()
+            cache_size -= cache_stat[path].st_size
+            path.unlink()
+
+
+@functools.cache  # Ensure this is only registered once.
+def _register_conversion_cache_cleaner_once():
+    atexit.register(_clean_conversion_cache)
 
 
 def crop_to_same(actual_path, actual_image, expected_path, expected_image):
     # clip the images to the same size -- this is useful only when
     # comparing eps to pdf
     if actual_path[-7:-4] == 'eps' and expected_path[-7:-4] == 'pdf':
-        aw, ah = actual_image.shape
-        ew, eh = expected_image.shape
+        aw, ah, ad = actual_image.shape
+        ew, eh, ed = expected_image.shape
         actual_image = actual_image[int(aw / 2 - ew / 2):int(
             aw / 2 + ew / 2), int(ah / 2 - eh / 2):int(ah / 2 + eh / 2)]
     return actual_image, expected_image
 
 
-def calculate_rms(expectedImage, actualImage):
-    "Calculate the per-pixel errors, then compute the root mean square error."
-    num_values = np.prod(expectedImage.shape)
-    abs_diff_image = abs(expectedImage - actualImage)
+def calculate_rms(expected_image, actual_image):
+    """
+    Calculate the per-pixel errors, then compute the root mean square error.
+    """
+    if expected_image.shape != actual_image.shape:
+        raise ImageComparisonFailure(
+            f"Image sizes do not match expected size: {expected_image.shape} "
+            f"actual size {actual_image.shape}")
+    # Convert to float to avoid overflowing finite integer types.
+    return np.sqrt(((expected_image - actual_image).astype(float) ** 2).mean())
 
-    # On Numpy 1.6, we can use bincount with minlength, which is much
-    # faster than using histogram
-    expected_version = version.LooseVersion("1.6")
-    found_version = version.LooseVersion(np.__version__)
-    if found_version >= expected_version:
-        histogram = np.bincount(abs_diff_image.ravel(), minlength=256)
-    else:
-        histogram = np.histogram(abs_diff_image, bins=np.arange(257))[0]
 
-    sum_of_squares = np.sum(histogram * np.arange(len(histogram)) ** 2)
-    rms = np.sqrt(float(sum_of_squares) / num_values)
+# NOTE: compare_image and save_diff_image assume that the image does not have
+# 16-bit depth, as Pillow converts these to RGB incorrectly.
 
-    return rms
+
+def _load_image(path):
+    img = Image.open(path)
+    # In an RGBA image, if the smallest value in the alpha channel is 255, all
+    # values in it must be 255, meaning that the image is opaque. If so,
+    # discard the alpha channel so that it may compare equal to an RGB image.
+    if img.mode != "RGBA" or img.getextrema()[3][0] == 255:
+        img = img.convert("RGB")
+    return np.asarray(img)
 
 
 def compare_images(expected, actual, tol, in_decorator=False):
@@ -265,71 +411,86 @@ def compare_images(expected, actual, tol, in_decorator=False):
     Compare two "image" files checking differences within a tolerance.
 
     The two given filenames may point to files which are convertible to
-    PNG via the `.converter` dictionary. The underlying RMS is calculated
+    PNG via the `!converter` dictionary. The underlying RMS is calculated
     with the `.calculate_rms` function.
 
     Parameters
     ----------
     expected : str
         The filename of the expected image.
-    actual :str
+    actual : str
         The filename of the actual image.
     tol : float
         The tolerance (a color value difference, where 255 is the
         maximal difference).  The test fails if the average pixel
         difference is greater than this value.
     in_decorator : bool
-        If called from image_comparison decorator, this should be
-        True. (default=False)
+        Determines the output format. If called from image_comparison
+        decorator, this should be True. (default=False)
 
-    Example
+    Returns
     -------
-    img1 = "./baseline/plot.png"
-    img2 = "./output/plot.png"
-    compare_images( img1, img2, 0.001 ):
+    None or dict or str
+        Return *None* if the images are equal within the given tolerance.
+
+        If the images differ, the return value depends on  *in_decorator*.
+        If *in_decorator* is true, a dict with the following entries is
+        returned:
+
+        - *rms*: The RMS of the image difference.
+        - *expected*: The filename of the expected image.
+        - *actual*: The filename of the actual image.
+        - *diff_image*: The filename of the difference image.
+        - *tol*: The comparison tolerance.
+
+        Otherwise, a human-readable multi-line string representation of this
+        information is returned.
+
+    Examples
+    --------
+    ::
+
+        img1 = "./baseline/plot.png"
+        img2 = "./output/plot.png"
+        compare_images(img1, img2, 0.001)
 
     """
+    actual = os.fspath(actual)
     if not os.path.exists(actual):
-        msg = "Output image %s does not exist." % actual
-        raise Exception(msg)
-
+        raise Exception(f"Output image {actual} does not exist.")
     if os.stat(actual).st_size == 0:
-        msg = "Output image file %s is empty." % actual
-        raise Exception(msg)
-
-    verify(actual)
+        raise Exception(f"Output image file {actual} is empty.")
 
     # Convert the image to png
+    expected = os.fspath(expected)
+    if not os.path.exists(expected):
+        raise OSError(f'Baseline image {expected!r} does not exist.')
     extension = expected.split('.')[-1]
+    if extension != 'png':
+        actual = convert(actual, cache=True)
+        expected = convert(expected, cache=True)
 
-    if not os.path.exists(expected):
-        raise IOError('Baseline image %r does not exist.' % expected)
+    # open the image files
+    expected_image = _load_image(expected)
+    actual_image = _load_image(actual)
 
-    if extension != 'png':
-        actual = convert(actual, False)
-        expected = convert(expected, True)
+    actual_image, expected_image = crop_to_same(
+        actual, actual_image, expected, expected_image)
 
-    # open the image files and remove the alpha channel (if it exists)
-    expectedImage = _png.read_png_int(expected)
-    actualImage = _png.read_png_int(actual)
-    expectedImage = expectedImage[:, :, :3]
-    actualImage = actualImage[:, :, :3]
+    diff_image = make_test_filename(actual, 'failed-diff')
 
-    actualImage, expectedImage = crop_to_same(
-        actual, actualImage, expected, expectedImage)
+    if tol <= 0:
+        if np.array_equal(expected_image, actual_image):
+            return None
 
     # convert to signed integers, so that the images can be subtracted without
     # overflow
-    expectedImage = expectedImage.astype(np.int16)
-    actualImage = actualImage.astype(np.int16)
+    expected_image = expected_image.astype(np.int16)
+    actual_image = actual_image.astype(np.int16)
 
-    rms = calculate_rms(expectedImage, actualImage)
-
-    diff_image = make_test_filename(actual, 'failed-diff')
+    rms = calculate_rms(expected_image, actual_image)
 
     if rms <= tol:
-        if os.path.exists(diff_image):
-            os.unlink(diff_image)
         return None
 
     save_diff_image(expected, actual, diff_image)
@@ -350,29 +511,33 @@ def compare_images(expected, actual, tol, in_decorator=False):
 
 
 def save_diff_image(expected, actual, output):
-    expectedImage = _png.read_png(expected)
-    actualImage = _png.read_png(actual)
-    actualImage, expectedImage = crop_to_same(
-        actual, actualImage, expected, expectedImage)
-    expectedImage = np.array(expectedImage).astype(np.float)
-    actualImage = np.array(actualImage).astype(np.float)
-    assert expectedImage.ndim == actualImage.ndim
-    assert expectedImage.shape == actualImage.shape
-    absDiffImage = abs(expectedImage - actualImage)
+    """
+    Parameters
+    ----------
+    expected : str
+        File path of expected image.
+    actual : str
+        File path of actual image.
+    output : str
+        File path to save difference image to.
+    """
+    expected_image = _load_image(expected)
+    actual_image = _load_image(actual)
+    actual_image, expected_image = crop_to_same(
+        actual, actual_image, expected, expected_image)
+    expected_image = np.array(expected_image, float)
+    actual_image = np.array(actual_image, float)
+    if expected_image.shape != actual_image.shape:
+        raise ImageComparisonFailure(
+            f"Image sizes do not match expected size: {expected_image.shape} "
+            f"actual size {actual_image.shape}")
+    abs_diff = np.abs(expected_image - actual_image)
 
     # expand differences in luminance domain
-    absDiffImage *= 255 * 10
-    save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
-    height, width, depth = save_image_np.shape
-
-    # The PDF renderer doesn't produce an alpha channel, but the
-    # matplotlib PNG writer requires one, so expand the array
-    if depth == 3:
-        with_alpha = np.empty((height, width, 4), dtype=np.uint8)
-        with_alpha[:, :, 0:3] = save_image_np
-        save_image_np = with_alpha
+    abs_diff *= 10
+    abs_diff = np.clip(abs_diff, 0, 255).astype(np.uint8)
 
-    # Hard-code the alpha channel to fully solid
-    save_image_np[:, :, 3] = 255
+    if abs_diff.shape[2] == 4:  # Hard-code the alpha channel to fully solid
+        abs_diff[:, :, 3] = 255
 
-    _png.write_png(save_image_np, output)
+    Image.fromarray(abs_diff).save(output, format="png")
diff --git a/lib/matplotlib/testing/compare.pyi b/lib/matplotlib/testing/compare.pyi
new file mode 100644
index 000000000000..8f11b3bebc1a
--- /dev/null
+++ b/lib/matplotlib/testing/compare.pyi
@@ -0,0 +1,32 @@
+from collections.abc import Callable
+from typing import Literal, overload
+
+from numpy.typing import NDArray
+
+__all__ = ["calculate_rms", "comparable_formats", "compare_images"]
+
+def make_test_filename(fname: str, purpose: str) -> str: ...
+def get_cache_dir() -> str: ...
+def get_file_hash(path: str, block_size: int = ...) -> str: ...
+
+converter: dict[str, Callable[[str, str], None]] = {}
+
+def comparable_formats() -> list[str]: ...
+def convert(filename: str, cache: bool) -> str: ...
+def crop_to_same(
+    actual_path: str, actual_image: NDArray, expected_path: str, expected_image: NDArray
+) -> tuple[NDArray, NDArray]: ...
+def calculate_rms(expected_image: NDArray, actual_image: NDArray) -> float: ...
+@overload
+def compare_images(
+    expected: str, actual: str, tol: float, in_decorator: Literal[True]
+) -> None | dict[str, float | str]: ...
+@overload
+def compare_images(
+    expected: str, actual: str, tol: float, in_decorator: Literal[False]
+) -> None | str: ...
+@overload
+def compare_images(
+    expected: str, actual: str, tol: float, in_decorator: bool = ...
+) -> None | str | dict[str, float | str]: ...
+def save_diff_image(expected: str, actual: str, output: str) -> None: ...
diff --git a/lib/matplotlib/testing/conftest.py b/lib/matplotlib/testing/conftest.py
new file mode 100644
index 000000000000..2961e7f02f3f
--- /dev/null
+++ b/lib/matplotlib/testing/conftest.py
@@ -0,0 +1,178 @@
+import pytest
+import sys
+import matplotlib
+from matplotlib import _api
+
+
+def pytest_configure(config):
+    # config is initialized here rather than in pytest.ini so that `pytest
+    # --pyargs matplotlib` (which would not find pytest.ini) works.  The only
+    # entries in pytest.ini set minversion (which is checked earlier),
+    # testpaths/python_files, as they are required to properly find the tests
+    for key, value in [
+        ("markers", "flaky: (Provided by pytest-rerunfailures.)"),
+        ("markers", "timeout: (Provided by pytest-timeout.)"),
+        ("markers", "backend: Set alternate Matplotlib backend temporarily."),
+        ("markers", "baseline_images: Compare output against references."),
+        ("markers", "pytz: Tests that require pytz to be installed."),
+        ("filterwarnings", "error"),
+        ("filterwarnings",
+         "ignore:.*The py23 module has been deprecated:DeprecationWarning"),
+        ("filterwarnings",
+         r"ignore:DynamicImporter.find_spec\(\) not found; "
+         r"falling back to find_module\(\):ImportWarning"),
+    ]:
+        config.addinivalue_line(key, value)
+
+    matplotlib.use('agg', force=True)
+    matplotlib._called_from_pytest = True
+    matplotlib._init_tests()
+
+
+def pytest_unconfigure(config):
+    matplotlib._called_from_pytest = False
+
+
+@pytest.fixture(autouse=True)
+def mpl_test_settings(request):
+    from matplotlib.testing.decorators import _cleanup_cm
+
+    with _cleanup_cm():
+
+        backend = None
+        backend_marker = request.node.get_closest_marker('backend')
+        prev_backend = matplotlib.get_backend()
+        if backend_marker is not None:
+            assert len(backend_marker.args) == 1, \
+                "Marker 'backend' must specify 1 backend."
+            backend, = backend_marker.args
+            skip_on_importerror = backend_marker.kwargs.get(
+                'skip_on_importerror', False)
+
+            # special case Qt backend importing to avoid conflicts
+            if backend.lower().startswith('qt5'):
+                if any(sys.modules.get(k) for k in ('PyQt4', 'PySide')):
+                    pytest.skip('Qt4 binding already imported')
+
+        matplotlib.testing.setup()
+        with _api.suppress_matplotlib_deprecation_warning():
+            if backend is not None:
+                # This import must come after setup() so it doesn't load the
+                # default backend prematurely.
+                import matplotlib.pyplot as plt
+                try:
+                    plt.switch_backend(backend)
+                except ImportError as exc:
+                    # Should only occur for the cairo backend tests, if neither
+                    # pycairo nor cairocffi are installed.
+                    if 'cairo' in backend.lower() or skip_on_importerror:
+                        pytest.skip("Failed to switch to backend "
+                                    f"{backend} ({exc}).")
+                    else:
+                        raise
+            # Default of cleanup and image_comparison too.
+            matplotlib.style.use(["classic", "_classic_test_patch"])
+        try:
+            yield
+        finally:
+            if backend is not None:
+                plt.close("all")
+                matplotlib.use(prev_backend)
+
+
+@pytest.fixture
+def pd():
+    """
+    Fixture to import and configure pandas. Using this fixture, the test is skipped when
+    pandas is not installed. Use this fixture instead of importing pandas in test files.
+
+    Examples
+    --------
+    Request the pandas fixture by passing in ``pd`` as an argument to the test ::
+
+        def test_matshow_pandas(pd):
+
+            df = pd.DataFrame({'x':[1,2,3], 'y':[4,5,6]})
+            im = plt.figure().subplots().matshow(df)
+            np.testing.assert_array_equal(im.get_array(), df)
+    """
+    pd = pytest.importorskip('pandas')
+    try:
+        from pandas.plotting import (
+            deregister_matplotlib_converters as deregister)
+        deregister()
+    except ImportError:
+        pass
+    return pd
+
+
+@pytest.fixture
+def xr():
+    """
+    Fixture to import xarray so that the test is skipped when xarray is not installed.
+    Use this fixture instead of importing xrray in test files.
+
+    Examples
+    --------
+    Request the xarray fixture by passing in ``xr`` as an argument to the test ::
+
+        def test_imshow_xarray(xr):
+
+            ds = xr.DataArray(np.random.randn(2, 3))
+            im = plt.figure().subplots().imshow(ds)
+            np.testing.assert_array_equal(im.get_array(), ds)
+    """
+
+    xr = pytest.importorskip('xarray')
+    return xr
+
+
+@pytest.fixture
+def text_placeholders(monkeypatch):
+    """
+    Replace texts with placeholder rectangles.
+
+    The rectangle size only depends on the font size and the number of characters. It is
+    thus insensitive to font properties and rendering details. This should be used for
+    tests that depend on text geometries but not the actual text rendering, e.g. layout
+    tests.
+    """
+    from matplotlib.patches import Rectangle
+
+    def patched_get_text_metrics_with_cache(renderer, text, fontprop, ismath, dpi):
+        """
+        Replace ``_get_text_metrics_with_cache`` with fixed results.
+
+        The usual ``renderer.get_text_width_height_descent`` would depend on font
+        metrics; instead the fixed results are based on font size and the length of the
+        string only.
+        """
+        # While get_window_extent returns pixels and font size is in points, font size
+        # includes ascenders and descenders. Leaving out this factor and setting
+        # descent=0 ends up with a box that is relatively close to DejaVu Sans.
+        height = fontprop.get_size()
+        width = len(text) * height / 1.618  # Golden ratio for character size.
+        descent = 0
+        return width, height, descent
+
+    def patched_text_draw(self, renderer):
+        """
+        Replace ``Text.draw`` with a fixed bounding box Rectangle.
+
+        The bounding box corresponds to ``Text.get_window_extent``, which ultimately
+        depends on the above patched ``_get_text_metrics_with_cache``.
+        """
+        if renderer is not None:
+            self._renderer = renderer
+        if not self.get_visible():
+            return
+        if self.get_text() == '':
+            return
+        bbox = self.get_window_extent()
+        rect = Rectangle(bbox.p0, bbox.width, bbox.height,
+                         facecolor=self.get_color(), edgecolor='none')
+        rect.draw(renderer)
+
+    monkeypatch.setattr('matplotlib.text._get_text_metrics_with_cache',
+                        patched_get_text_metrics_with_cache)
+    monkeypatch.setattr('matplotlib.text.Text.draw', patched_text_draw)
diff --git a/lib/matplotlib/testing/conftest.pyi b/lib/matplotlib/testing/conftest.pyi
new file mode 100644
index 000000000000..f5d90bc88f73
--- /dev/null
+++ b/lib/matplotlib/testing/conftest.pyi
@@ -0,0 +1,14 @@
+from types import ModuleType
+
+import pytest
+
+def pytest_configure(config: pytest.Config) -> None: ...
+def pytest_unconfigure(config: pytest.Config) -> None: ...
+@pytest.fixture
+def mpl_test_settings(request: pytest.FixtureRequest) -> None: ...
+@pytest.fixture
+def pd() -> ModuleType: ...
+@pytest.fixture
+def xr() -> ModuleType: ...
+@pytest.fixture
+def text_placeholders(monkeypatch: pytest.MonkeyPatch) -> None: ...
diff --git a/lib/matplotlib/testing/decorators.py b/lib/matplotlib/testing/decorators.py
index c134dfaa8644..17509449e768 100644
--- a/lib/matplotlib/testing/decorators.py
+++ b/lib/matplotlib/testing/decorators.py
@@ -1,331 +1,470 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import contextlib
 import functools
-import gc
+import inspect
 import os
-import sys
+from platform import uname
+from pathlib import Path
 import shutil
+import string
+import sys
 import warnings
-import unittest
 
-import nose
-import numpy as np
+from packaging.version import parse as parse_version
 
-import matplotlib.tests
+import matplotlib.style
 import matplotlib.units
-from matplotlib import cbook
-from matplotlib import ticker
-from matplotlib import pyplot as plt
-from matplotlib import ft2font
-from matplotlib.testing.noseclasses import KnownFailureTest, \
-     KnownFailureDidNotFailTest, ImageComparisonFailure
-from matplotlib.testing.compare import comparable_formats, compare_images, \
-     make_test_filename
+import matplotlib.testing
+from matplotlib import _pylab_helpers, cbook, ft2font, pyplot as plt, ticker
+from .compare import comparable_formats, compare_images, make_test_filename
+from .exceptions import ImageComparisonFailure
 
 
-def knownfailureif(fail_condition, msg=None, known_exception_class=None ):
-    """
-
-    Assume a will fail if *fail_condition* is True. *fail_condition*
-    may also be False or the string 'indeterminate'.
+@contextlib.contextmanager
+def _cleanup_cm():
+    orig_units_registry = matplotlib.units.registry.copy()
+    try:
+        with warnings.catch_warnings(), matplotlib.rc_context():
+            yield
+    finally:
+        matplotlib.units.registry.clear()
+        matplotlib.units.registry.update(orig_units_registry)
+        plt.close("all")
 
-    *msg* is the error message displayed for the test.
 
-    If *known_exception_class* is not None, the failure is only known
-    if the exception is an instance of this class. (Default = None)
+def _check_freetype_version(ver):
+    if ver is None:
+        return True
 
-    """
-    # based on numpy.testing.dec.knownfailureif
-    if msg is None:
-        msg = 'Test known to fail'
-    def known_fail_decorator(f):
-        # Local import to avoid a hard nose dependency and only incur the
-        # import time overhead at actual test-time.
-        import nose
-        def failer(*args, **kwargs):
-            try:
-                # Always run the test (to generate images).
-                result = f(*args, **kwargs)
-            except Exception as err:
-                if fail_condition:
-                    if known_exception_class is not None:
-                        if not isinstance(err,known_exception_class):
-                            # This is not the expected exception
-                            raise
-                    # (Keep the next ultra-long comment so in shows in console.)
-                    raise KnownFailureTest(msg) # An error here when running nose means that you don't have the matplotlib.testing.noseclasses:KnownFailure plugin in use.
-                else:
-                    raise
-            if fail_condition and fail_condition != 'indeterminate':
-                raise KnownFailureDidNotFailTest(msg)
-            return result
-        return nose.tools.make_decorator(f)(failer)
-    return known_fail_decorator
-
-
-def _do_cleanup(original_units_registry):
-    plt.close('all')
-    gc.collect()
-
-    matplotlib.tests.setup()
-
-    matplotlib.units.registry.clear()
-    matplotlib.units.registry.update(original_units_registry)
-    warnings.resetwarnings()  # reset any warning filters set in tests
-
-
-class CleanupTest(object):
-    @classmethod
-    def setup_class(cls):
-        cls.original_units_registry = matplotlib.units.registry.copy()
-
-    @classmethod
-    def teardown_class(cls):
-        _do_cleanup(cls.original_units_registry)
-
-    def test(self):
-        self._func()
-
-
-class CleanupTestCase(unittest.TestCase):
-    '''A wrapper for unittest.TestCase that includes cleanup operations'''
-    @classmethod
-    def setUpClass(cls):
-        import matplotlib.units
-        cls.original_units_registry = matplotlib.units.registry.copy()
-
-    @classmethod
-    def tearDownClass(cls):
-        _do_cleanup(cls.original_units_registry)
-
-
-def cleanup(func):
-    @functools.wraps(func)
-    def wrapped_function(*args, **kwargs):
-        original_units_registry = matplotlib.units.registry.copy()
+    if isinstance(ver, str):
+        ver = (ver, ver)
+    ver = [parse_version(x) for x in ver]
+    found = parse_version(ft2font.__freetype_version__)
+
+    return ver[0] <= found <= ver[1]
+
+
+def _checked_on_freetype_version(required_freetype_version):
+    import pytest
+    return pytest.mark.xfail(
+        not _check_freetype_version(required_freetype_version),
+        reason=f"Mismatched version of freetype. "
+               f"Test requires '{required_freetype_version}', "
+               f"you have '{ft2font.__freetype_version__}'",
+        raises=ImageComparisonFailure, strict=False)
+
+
+def remove_ticks_and_titles(figure):
+    figure.suptitle("")
+    null_formatter = ticker.NullFormatter()
+    def remove_ticks(ax):
+        """Remove ticks in *ax* and all its child Axes."""
+        ax.set_title("")
+        ax.xaxis.set_major_formatter(null_formatter)
+        ax.xaxis.set_minor_formatter(null_formatter)
+        ax.yaxis.set_major_formatter(null_formatter)
+        ax.yaxis.set_minor_formatter(null_formatter)
         try:
-            func(*args, **kwargs)
-        finally:
-            _do_cleanup(original_units_registry)
+            ax.zaxis.set_major_formatter(null_formatter)
+            ax.zaxis.set_minor_formatter(null_formatter)
+        except AttributeError:
+            pass
+        for child in ax.child_axes:
+            remove_ticks(child)
+    for ax in figure.get_axes():
+        remove_ticks(ax)
+
+
+@contextlib.contextmanager
+def _collect_new_figures():
+    """
+    After::
 
-    return wrapped_function
+        with _collect_new_figures() as figs:
+            some_code()
 
+    the list *figs* contains the figures that have been created during the
+    execution of ``some_code``, sorted by figure number.
+    """
+    managers = _pylab_helpers.Gcf.figs
+    preexisting = [manager for manager in managers.values()]
+    new_figs = []
+    try:
+        yield new_figs
+    finally:
+        new_managers = sorted([manager for manager in managers.values()
+                               if manager not in preexisting],
+                              key=lambda manager: manager.num)
+        new_figs[:] = [manager.canvas.figure for manager in new_managers]
+
+
+def _raise_on_image_difference(expected, actual, tol):
+    __tracebackhide__ = True
+
+    err = compare_images(expected, actual, tol, in_decorator=True)
+    if err:
+        for key in ["actual", "expected", "diff"]:
+            err[key] = os.path.relpath(err[key])
+        raise ImageComparisonFailure(
+            ('images not close (RMS %(rms).3f):'
+                '\n\t%(actual)s\n\t%(expected)s\n\t%(diff)s') % err)
+
+
+class _ImageComparisonBase:
+    """
+    Image comparison base class
 
-def check_freetype_version(ver):
-    if ver is None:
-        return True
+    This class provides *just* the comparison-related functionality and avoids
+    any code that would be specific to any testing framework.
+    """
 
-    from distutils import version
-    if isinstance(ver, six.string_types):
-        ver = (ver, ver)
-    ver = [version.StrictVersion(x) for x in ver]
-    found = version.StrictVersion(ft2font.__freetype_version__)
-
-    return found >= ver[0] and found <= ver[1]
-
-class ImageComparisonTest(CleanupTest):
-    @classmethod
-    def setup_class(cls):
-        CleanupTest.setup_class()
-
-        cls._func()
-
-    @staticmethod
-    def remove_text(figure):
-        figure.suptitle("")
-        for ax in figure.get_axes():
-            ax.set_title("")
-            ax.xaxis.set_major_formatter(ticker.NullFormatter())
-            ax.xaxis.set_minor_formatter(ticker.NullFormatter())
-            ax.yaxis.set_major_formatter(ticker.NullFormatter())
-            ax.yaxis.set_minor_formatter(ticker.NullFormatter())
+    def __init__(self, func, tol, remove_text, savefig_kwargs):
+        self.func = func
+        self.baseline_dir, self.result_dir = _image_directories(func)
+        self.tol = tol
+        self.remove_text = remove_text
+        self.savefig_kwargs = savefig_kwargs
+
+    def copy_baseline(self, baseline, extension):
+        baseline_path = self.baseline_dir / baseline
+        orig_expected_path = baseline_path.with_suffix(f'.{extension}')
+        if extension == 'eps' and not orig_expected_path.exists():
+            orig_expected_path = orig_expected_path.with_suffix('.pdf')
+        expected_fname = make_test_filename(
+            self.result_dir / orig_expected_path.name, 'expected')
+        try:
+            # os.symlink errors if the target already exists.
+            with contextlib.suppress(OSError):
+                os.remove(expected_fname)
             try:
-                ax.zaxis.set_major_formatter(ticker.NullFormatter())
-                ax.zaxis.set_minor_formatter(ticker.NullFormatter())
-            except AttributeError:
-                pass
-
-    def test(self):
-        baseline_dir, result_dir = _image_directories(self._func)
-
-        for fignum, baseline in zip(plt.get_fignums(), self._baseline_images):
-            for extension in self._extensions:
-                will_fail = not extension in comparable_formats()
-                if will_fail:
-                    fail_msg = 'Cannot compare %s files on this system' % extension
-                else:
-                    fail_msg = 'No failure expected'
-
-                orig_expected_fname = os.path.join(baseline_dir, baseline) + '.' + extension
-                if extension == 'eps' and not os.path.exists(orig_expected_fname):
-                    orig_expected_fname = os.path.join(baseline_dir, baseline) + '.pdf'
-                expected_fname = make_test_filename(os.path.join(
-                    result_dir, os.path.basename(orig_expected_fname)), 'expected')
-                actual_fname = os.path.join(result_dir, baseline) + '.' + extension
-                if os.path.exists(orig_expected_fname):
-                    shutil.copyfile(orig_expected_fname, expected_fname)
-                else:
-                    will_fail = True
-                    fail_msg = 'Do not have baseline image %s' % expected_fname
-
-                @knownfailureif(
-                    will_fail, fail_msg,
-                    known_exception_class=ImageComparisonFailure)
-                def do_test():
-                    figure = plt.figure(fignum)
-
-                    if self._remove_text:
-                        self.remove_text(figure)
-
-                    figure.savefig(actual_fname, **self._savefig_kwarg)
-
-                    err = compare_images(expected_fname, actual_fname,
-                                         self._tol, in_decorator=True)
-
-                    try:
-                        if not os.path.exists(expected_fname):
-                            raise ImageComparisonFailure(
-                                'image does not exist: %s' % expected_fname)
-
-                        if err:
-                            raise ImageComparisonFailure(
-                                'images not close: %(actual)s vs. %(expected)s '
-                                '(RMS %(rms).3f)'%err)
-                    except ImageComparisonFailure:
-                        if not check_freetype_version(self._freetype_version):
-                            raise KnownFailureTest(
-                                "Mismatched version of freetype.  Test requires '%s', you have '%s'" %
-                                (self._freetype_version, ft2font.__freetype_version__))
-                        raise
-
-                yield (do_test,)
-
-def image_comparison(baseline_images=None, extensions=None, tol=13,
-                     freetype_version=None, remove_text=False,
-                     savefig_kwarg=None):
+                if 'microsoft' in uname().release.lower():
+                    raise OSError  # On WSL, symlink breaks silently
+                os.symlink(orig_expected_path, expected_fname)
+            except OSError:  # On Windows, symlink *may* be unavailable.
+                shutil.copyfile(orig_expected_path, expected_fname)
+        except OSError as err:
+            raise ImageComparisonFailure(
+                f"Missing baseline image {expected_fname} because the "
+                f"following file cannot be accessed: "
+                f"{orig_expected_path}") from err
+        return expected_fname
+
+    def compare(self, fig, baseline, extension, *, _lock=False):
+        __tracebackhide__ = True
+
+        if self.remove_text:
+            remove_ticks_and_titles(fig)
+
+        actual_path = (self.result_dir / baseline).with_suffix(f'.{extension}')
+        kwargs = self.savefig_kwargs.copy()
+        if extension == 'pdf':
+            kwargs.setdefault('metadata',
+                              {'Creator': None, 'Producer': None,
+                               'CreationDate': None})
+
+        lock = (cbook._lock_path(actual_path)
+                if _lock else contextlib.nullcontext())
+        with lock:
+            try:
+                fig.savefig(actual_path, **kwargs)
+            finally:
+                # Matplotlib has an autouse fixture to close figures, but this
+                # makes things more convenient for third-party users.
+                plt.close(fig)
+            expected_path = self.copy_baseline(baseline, extension)
+            _raise_on_image_difference(expected_path, actual_path, self.tol)
+
+
+def _pytest_image_comparison(baseline_images, extensions, tol,
+                             freetype_version, remove_text, savefig_kwargs,
+                             style):
     """
-    call signature::
-
-      image_comparison(baseline_images=['my_figure'], extensions=None)
+    Decorate function with image comparison for pytest.
 
+    This function creates a decorator that wraps a figure-generating function
+    with image comparison code.
+    """
+    import pytest
+
+    KEYWORD_ONLY = inspect.Parameter.KEYWORD_ONLY
+
+    def decorator(func):
+        old_sig = inspect.signature(func)
+
+        @functools.wraps(func)
+        @pytest.mark.parametrize('extension', extensions)
+        @matplotlib.style.context(style)
+        @_checked_on_freetype_version(freetype_version)
+        @functools.wraps(func)
+        def wrapper(*args, extension, request, **kwargs):
+            __tracebackhide__ = True
+            if 'extension' in old_sig.parameters:
+                kwargs['extension'] = extension
+            if 'request' in old_sig.parameters:
+                kwargs['request'] = request
+
+            if extension not in comparable_formats():
+                reason = {
+                    'gif': 'because ImageMagick is not installed',
+                    'pdf': 'because Ghostscript is not installed',
+                    'eps': 'because Ghostscript is not installed',
+                    'svg': 'because Inkscape is not installed',
+                }.get(extension, 'on this system')
+                pytest.skip(f"Cannot compare {extension} files {reason}")
+
+            img = _ImageComparisonBase(func, tol=tol, remove_text=remove_text,
+                                       savefig_kwargs=savefig_kwargs)
+            matplotlib.testing.set_font_settings_for_testing()
+
+            with _collect_new_figures() as figs:
+                func(*args, **kwargs)
+
+            # If the test is parametrized in any way other than applied via
+            # this decorator, then we need to use a lock to prevent two
+            # processes from touching the same output file.
+            needs_lock = any(
+                marker.args[0] != 'extension'
+                for marker in request.node.iter_markers('parametrize'))
+
+            if baseline_images is not None:
+                our_baseline_images = baseline_images
+            else:
+                # Allow baseline image list to be produced on the fly based on
+                # current parametrization.
+                our_baseline_images = request.getfixturevalue(
+                    'baseline_images')
+
+            assert len(figs) == len(our_baseline_images), (
+                f"Test generated {len(figs)} images but there are "
+                f"{len(our_baseline_images)} baseline images")
+            for fig, baseline in zip(figs, our_baseline_images):
+                img.compare(fig, baseline, extension, _lock=needs_lock)
+
+        parameters = list(old_sig.parameters.values())
+        if 'extension' not in old_sig.parameters:
+            parameters += [inspect.Parameter('extension', KEYWORD_ONLY)]
+        if 'request' not in old_sig.parameters:
+            parameters += [inspect.Parameter("request", KEYWORD_ONLY)]
+        new_sig = old_sig.replace(parameters=parameters)
+        wrapper.__signature__ = new_sig
+
+        # Reach a bit into pytest internals to hoist the marks from our wrapped
+        # function.
+        new_marks = getattr(func, 'pytestmark', []) + wrapper.pytestmark
+        wrapper.pytestmark = new_marks
+
+        return wrapper
+
+    return decorator
+
+
+def image_comparison(baseline_images, extensions=None, tol=0,
+                     freetype_version=None, remove_text=False,
+                     savefig_kwarg=None,
+                     # Default of mpl_test_settings fixture and cleanup too.
+                     style=("classic", "_classic_test_patch")):
+    """
     Compare images generated by the test with those specified in
-    *baseline_images*, which must correspond else an
-    ImageComparisonFailure exception will be raised.
+    *baseline_images*, which must correspond, else an `.ImageComparisonFailure`
+    exception will be raised.
+
+    Parameters
+    ----------
+    baseline_images : list or None
+        A list of strings specifying the names of the images generated by
+        calls to `.Figure.savefig`.
 
-    Keyword arguments:
+        If *None*, the test function must use the ``baseline_images`` fixture,
+        either as a parameter or with `pytest.mark.usefixtures`. This value is
+        only allowed when using pytest.
 
-      *baseline_images*: list
-        A list of strings specifying the names of the images generated
-        by calls to :meth:`matplotlib.figure.savefig`.
+    extensions : None or list of str
+        The list of extensions to test, e.g. ``['png', 'pdf']``.
 
-      *extensions*: [ None | list ]
+        If *None*, defaults to: png, pdf, and svg.
 
-        If *None*, default to all supported extensions.
+        When testing a single extension, it can be directly included in the
+        names passed to *baseline_images*.  In that case, *extensions* must not
+        be set.
 
-        Otherwise, a list of extensions to test. For example ['png','pdf'].
+        In order to keep the size of the test suite from ballooning, we only
+        include the ``svg`` or ``pdf`` outputs if the test is explicitly
+        exercising a feature dependent on that backend (see also the
+        `check_figures_equal` decorator for that purpose).
 
-      *tol*: (default 13)
+    tol : float, default: 0
         The RMS threshold above which the test is considered failed.
 
-      *freetype_version*: str or tuple
-        The expected freetype version or range of versions for this
-        test to pass.
+        Due to expected small differences in floating-point calculations, on
+        32-bit systems an additional 0.06 is added to this threshold.
 
-      *remove_text*: bool
-        Remove the title and tick text from the figure before
-        comparison.  This does not remove other, more deliberate,
-        text, such as legends and annotations.
+    freetype_version : str or tuple
+        The expected freetype version or range of versions for this test to
+        pass.
 
-      *savefig_kwarg*: dict
+    remove_text : bool
+        Remove the title and tick text from the figure before comparison.  This
+        is useful to make the baseline images independent of variations in text
+        rendering between different versions of FreeType.
+
+        This does not remove other, more deliberate, text, such as legends and
+        annotations.
+
+    savefig_kwarg : dict
         Optional arguments that are passed to the savefig method.
 
+    style : str, dict, or list
+        The optional style(s) to apply to the image test. The test itself
+        can also apply additional styles if desired. Defaults to ``["classic",
+        "_classic_test_patch"]``.
     """
 
-    if baseline_images is None:
-        raise ValueError('baseline_images must be specified')
-
+    if baseline_images is not None:
+        # List of non-empty filename extensions.
+        baseline_exts = [*filter(None, {Path(baseline).suffix[1:]
+                                        for baseline in baseline_images})]
+        if baseline_exts:
+            if extensions is not None:
+                raise ValueError(
+                    "When including extensions directly in 'baseline_images', "
+                    "'extensions' cannot be set as well")
+            if len(baseline_exts) > 1:
+                raise ValueError(
+                    "When including extensions directly in 'baseline_images', "
+                    "all baselines must share the same suffix")
+            extensions = baseline_exts
+            baseline_images = [  # Chop suffix out from baseline_images.
+                Path(baseline).stem for baseline in baseline_images]
     if extensions is None:
-        # default extensions to test
+        # Default extensions to test, if not set via baseline_images.
         extensions = ['png', 'pdf', 'svg']
-
     if savefig_kwarg is None:
-        #default no kwargs to savefig
-        savefig_kwarg = dict()
-
-    def compare_images_decorator(func):
-        # We want to run the setup function (the actual test function
-        # that generates the figure objects) only once for each type
-        # of output file.  The only way to achieve this with nose
-        # appears to be to create a test class with "setup_class" and
-        # "teardown_class" methods.  Creating a class instance doesn't
-        # work, so we use type() to actually create a class and fill
-        # it with the appropriate methods.
-        name = func.__name__
-        # For nose 1.0, we need to rename the test function to
-        # something without the word "test", or it will be run as
-        # well, outside of the context of our image comparison test
-        # generator.
-        func = staticmethod(func)
-        func.__get__(1).__name__ = str('_private')
-        new_class = type(
-            name,
-            (ImageComparisonTest,),
-            {'_func': func,
-             '_baseline_images': baseline_images,
-             '_extensions': extensions,
-             '_tol': tol,
-             '_freetype_version': freetype_version,
-             '_remove_text': remove_text,
-             '_savefig_kwarg': savefig_kwarg})
-
-        return new_class
-    return compare_images_decorator
+        savefig_kwarg = dict()  # default no kwargs to savefig
+    if sys.maxsize <= 2**32:
+        tol += 0.06
+    return _pytest_image_comparison(
+        baseline_images=baseline_images, extensions=extensions, tol=tol,
+        freetype_version=freetype_version, remove_text=remove_text,
+        savefig_kwargs=savefig_kwarg, style=style)
+
+
+def check_figures_equal(*, extensions=("png", ), tol=0):
+    """
+    Decorator for test cases that generate and compare two figures.
+
+    The decorated function must take two keyword arguments, *fig_test*
+    and *fig_ref*, and draw the test and reference images on them.
+    After the function returns, the figures are saved and compared.
+
+    This decorator should be preferred over `image_comparison` when possible in
+    order to keep the size of the test suite from ballooning.
+
+    Parameters
+    ----------
+    extensions : list, default: ["png"]
+        The extensions to test. Supported extensions are "png", "pdf", "svg".
+
+        Testing with the one default extension is sufficient if the output is not
+        format dependent, e.g. if you test that a ``bar()`` plot yields the same
+        result as some manually placed Rectangles. You should use all extensions
+        if a renderer property is involved, e.g. correct alpha blending.
+    tol : float
+        The RMS threshold above which the test is considered failed.
+
+    Raises
+    ------
+    RuntimeError
+        If any new figures are created (and not subsequently closed) inside
+        the test function.
+
+    Examples
+    --------
+    Check that calling `.Axes.plot` with a single argument plots it against
+    ``[0, 1, 2, ...]``::
+
+        @check_figures_equal()
+        def test_plot(fig_test, fig_ref):
+            fig_test.subplots().plot([1, 3, 5])
+            fig_ref.subplots().plot([0, 1, 2], [1, 3, 5])
+
+    """
+    ALLOWED_CHARS = set(string.digits + string.ascii_letters + '_-[]()')
+    KEYWORD_ONLY = inspect.Parameter.KEYWORD_ONLY
+
+    def decorator(func):
+        import pytest
+
+        _, result_dir = _image_directories(func)
+        old_sig = inspect.signature(func)
+
+        if not {"fig_test", "fig_ref"}.issubset(old_sig.parameters):
+            raise ValueError("The decorated function must have at least the "
+                             "parameters 'fig_test' and 'fig_ref', but your "
+                             f"function has the signature {old_sig}")
+
+        @pytest.mark.parametrize("ext", extensions)
+        def wrapper(*args, ext, request, **kwargs):
+            if 'ext' in old_sig.parameters:
+                kwargs['ext'] = ext
+            if 'request' in old_sig.parameters:
+                kwargs['request'] = request
+
+            file_name = "".join(c for c in request.node.name
+                                if c in ALLOWED_CHARS)
+            try:
+                fig_test = plt.figure("test")
+                fig_ref = plt.figure("reference")
+                with _collect_new_figures() as figs:
+                    func(*args, fig_test=fig_test, fig_ref=fig_ref, **kwargs)
+                if figs:
+                    raise RuntimeError('Number of open figures changed during '
+                                       'test. Make sure you are plotting to '
+                                       'fig_test or fig_ref, or if this is '
+                                       'deliberate explicitly close the '
+                                       'new figure(s) inside the test.')
+                test_image_path = result_dir / (file_name + "." + ext)
+                ref_image_path = result_dir / (file_name + "-expected." + ext)
+                fig_test.savefig(test_image_path)
+                fig_ref.savefig(ref_image_path)
+                _raise_on_image_difference(
+                    ref_image_path, test_image_path, tol=tol
+                )
+            finally:
+                plt.close(fig_test)
+                plt.close(fig_ref)
+
+        parameters = [
+            param
+            for param in old_sig.parameters.values()
+            if param.name not in {"fig_test", "fig_ref"}
+        ]
+        if 'ext' not in old_sig.parameters:
+            parameters += [inspect.Parameter("ext", KEYWORD_ONLY)]
+        if 'request' not in old_sig.parameters:
+            parameters += [inspect.Parameter("request", KEYWORD_ONLY)]
+        new_sig = old_sig.replace(parameters=parameters)
+        wrapper.__signature__ = new_sig
+
+        # reach a bit into pytest internals to hoist the marks from
+        # our wrapped function
+        new_marks = getattr(func, "pytestmark", []) + wrapper.pytestmark
+        wrapper.pytestmark = new_marks
+
+        return wrapper
+
+    return decorator
+
 
 def _image_directories(func):
     """
     Compute the baseline and result image directories for testing *func*.
-    Create the result directory if it doesn't exist.
-    """
-    module_name = func.__module__
-    if module_name == '__main__':
-        # FIXME: this won't work for nested packages in matplotlib.tests
-        warnings.warn('test module run as script. guessing baseline image locations')
-        script_name = sys.argv[0]
-        basedir = os.path.abspath(os.path.dirname(script_name))
-        subdir = os.path.splitext(os.path.split(script_name)[1])[0]
-    else:
-        mods = module_name.split('.')
-        mods.pop(0) # <- will be the name of the package being tested (in
-                    # most cases "matplotlib")
-        assert mods.pop(0) == 'tests'
-        subdir = os.path.join(*mods)
-
-        import imp
-        def find_dotted_module(module_name, path=None):
-            """A version of imp which can handle dots in the module name"""
-            res = None
-            for sub_mod in module_name.split('.'):
-                try:
-                    res = file, path, _ = imp.find_module(sub_mod, path)
-                    path = [path]
-                    if file is not None:
-                        file.close()
-                except ImportError:
-                    # assume namespace package
-                    path = sys.modules[sub_mod].__path__
-                    res = None, path, None
-            return res
-
-        mod_file = find_dotted_module(func.__module__)[1]
-        basedir = os.path.dirname(mod_file)
-
-    baseline_dir = os.path.join(basedir, 'baseline_images', subdir)
-    result_dir = os.path.abspath(os.path.join('result_images', subdir))
-
-    if not os.path.exists(result_dir):
-        cbook.mkdirs(result_dir)
 
+    For test module ``foo.bar.test_baz``, the baseline directory is at
+    ``foo/bar/baseline_images/test_baz`` and the result directory at
+    ``$(pwd)/result_images/test_baz``.  The result directory is created if it
+    doesn't exist.
+    """
+    module_path = Path(inspect.getfile(func))
+    baseline_dir = module_path.parent / "baseline_images" / module_path.stem
+    result_dir = Path().resolve() / "result_images" / module_path.stem
+    result_dir.mkdir(parents=True, exist_ok=True)
     return baseline_dir, result_dir
diff --git a/lib/matplotlib/testing/decorators.pyi b/lib/matplotlib/testing/decorators.pyi
new file mode 100644
index 000000000000..f1b6c5e595cb
--- /dev/null
+++ b/lib/matplotlib/testing/decorators.pyi
@@ -0,0 +1,25 @@
+from collections.abc import Callable, Sequence
+from pathlib import Path
+from typing import Any, TypeVar
+from typing_extensions import ParamSpec
+
+from matplotlib.figure import Figure
+from matplotlib.typing import RcStyleType
+
+_P = ParamSpec("_P")
+_R = TypeVar("_R")
+
+def remove_ticks_and_titles(figure: Figure) -> None: ...
+def image_comparison(
+    baseline_images: list[str] | None,
+    extensions: list[str] | None = ...,
+    tol: float = ...,
+    freetype_version: tuple[str, str] | str | None = ...,
+    remove_text: bool = ...,
+    savefig_kwarg: dict[str, Any] | None = ...,
+    style: RcStyleType = ...,
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+def check_figures_equal(
+    *, extensions: Sequence[str] = ..., tol: float = ...
+) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]: ...
+def _image_directories(func: Callable) -> tuple[Path, Path]: ...
diff --git a/lib/matplotlib/testing/exceptions.py b/lib/matplotlib/testing/exceptions.py
new file mode 100644
index 000000000000..c39a39207747
--- /dev/null
+++ b/lib/matplotlib/testing/exceptions.py
@@ -0,0 +1,4 @@
+class ImageComparisonFailure(AssertionError):
+    """
+    Raise this exception to mark a test as a comparison between two images.
+    """
diff --git a/lib/matplotlib/testing/image_util.py b/lib/matplotlib/testing/image_util.py
deleted file mode 100644
index 92bc0d6e8962..000000000000
--- a/lib/matplotlib/testing/image_util.py
+++ /dev/null
@@ -1,111 +0,0 @@
-# This module contains some functionality from the Python Imaging
-# Library, that has been ported to use Numpy arrays rather than PIL
-# Image objects.
-
-
-# The Python Imaging Library is
-
-# Copyright (c) 1997-2009 by Secret Labs AB
-# Copyright (c) 1995-2009 by Fredrik Lundh
-
-# By obtaining, using, and/or copying this software and/or its
-# associated documentation, you agree that you have read, understood,
-# and will comply with the following terms and conditions:
-
-# Permission to use, copy, modify, and distribute this software and its
-# associated documentation for any purpose and without fee is hereby
-# granted, provided that the above copyright notice appears in all
-# copies, and that both that copyright notice and this permission notice
-# appear in supporting documentation, and that the name of Secret Labs
-# AB or the author not be used in advertising or publicity pertaining to
-# distribution of the software without specific, written prior
-# permission.
-
-# SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO
-# THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
-# FITNESS.  IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR
-# ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
-# WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
-# ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
-# OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-import numpy as np
-
-from matplotlib.cbook import deprecated, warn_deprecated
-
-
-warn_deprecated('1.4.0', name='matplotlib.testing.image_util',
-                obj_type='module')
-
-
-@deprecated('1.4.0')
-def autocontrast(image, cutoff=0):
-    """
-    Maximize image contrast, based on histogram.  This completely
-    ignores the alpha channel.
-    """
-    assert image.dtype == np.uint8
-
-    output_image = np.empty((image.shape[0], image.shape[1], 3), np.uint8)
-
-    for i in xrange(0, 3):
-        plane = image[:,:,i]
-        output_plane = output_image[:,:,i]
-        h = np.histogram(plane, bins=256)[0]
-        if cutoff:
-            # cut off pixels from both ends of the histogram
-            # get number of pixels
-            n = 0
-            for ix in xrange(256):
-                n = n + h[ix]
-            # remove cutoff% pixels from the low end
-            cut = n * cutoff / 100
-            for lo in range(256):
-                if cut > h[lo]:
-                    cut = cut - h[lo]
-                    h[lo] = 0
-                else:
-                    h[lo] = h[lo] - cut
-                    cut = 0
-                if cut <= 0:
-                    break
-            # remove cutoff% samples from the hi end
-            cut = n * cutoff / 100
-            for hi in xrange(255, -1, -1):
-                if cut > h[hi]:
-                    cut = cut - h[hi]
-                    h[hi] = 0
-                else:
-                    h[hi] = h[hi] - cut
-                    cut = 0
-                if cut <= 0:
-                    break
-
-        # find lowest/highest samples after preprocessing
-        for lo in xrange(256):
-            if h[lo]:
-                break
-        for hi in xrange(255, -1, -1):
-            if h[hi]:
-                break
-
-        if hi <= lo:
-            output_plane[:,:] = plane
-        else:
-            scale = 255.0 / (hi - lo)
-            offset = -lo * scale
-            lut = np.arange(256, dtype=np.float)
-            lut *= scale
-            lut += offset
-            lut = lut.clip(0, 255)
-            lut = lut.astype(np.uint8)
-
-            output_plane[:,:] = lut[plane]
-
-    return output_image
diff --git a/lib/matplotlib/testing/jpl_units/Duration.py b/lib/matplotlib/testing/jpl_units/Duration.py
index 4d71c78e8270..052c5a47c0fd 100644
--- a/lib/matplotlib/testing/jpl_units/Duration.py
+++ b/lib/matplotlib/testing/jpl_units/Duration.py
@@ -1,211 +1,138 @@
-#===========================================================================
-#
-# Duration
-#
-#===========================================================================
+"""Duration module."""
 
+import functools
+import operator
 
-"""Duration module."""
+from matplotlib import _api
+
+
+class Duration:
+    """Class Duration in development."""
+
+    allowed = ["ET", "UTC"]
+
+    def __init__(self, frame, seconds):
+        """
+        Create a new Duration object.
+
+        = ERROR CONDITIONS
+        - If the input frame is not in the allowed list, an error is thrown.
+
+        = INPUT VARIABLES
+        - frame     The frame of the duration.  Must be 'ET' or 'UTC'
+        - seconds  The number of seconds in the Duration.
+        """
+        _api.check_in_list(self.allowed, frame=frame)
+        self._frame = frame
+        self._seconds = seconds
+
+    def frame(self):
+        """Return the frame the duration is in."""
+        return self._frame
+
+    def __abs__(self):
+        """Return the absolute value of the duration."""
+        return Duration(self._frame, abs(self._seconds))
+
+    def __neg__(self):
+        """Return the negative value of this Duration."""
+        return Duration(self._frame, -self._seconds)
+
+    def seconds(self):
+        """Return the number of seconds in the Duration."""
+        return self._seconds
+
+    def __bool__(self):
+        return self._seconds != 0
+
+    def _cmp(self, op, rhs):
+        """
+        Check that *self* and *rhs* share frames; compare them using *op*.
+        """
+        self.checkSameFrame(rhs, "compare")
+        return op(self._seconds, rhs._seconds)
+
+    __eq__ = functools.partialmethod(_cmp, operator.eq)
+    __ne__ = functools.partialmethod(_cmp, operator.ne)
+    __lt__ = functools.partialmethod(_cmp, operator.lt)
+    __le__ = functools.partialmethod(_cmp, operator.le)
+    __gt__ = functools.partialmethod(_cmp, operator.gt)
+    __ge__ = functools.partialmethod(_cmp, operator.ge)
+
+    def __add__(self, rhs):
+        """
+        Add two Durations.
+
+        = ERROR CONDITIONS
+        - If the input rhs is not in the same frame, an error is thrown.
+
+        = INPUT VARIABLES
+        - rhs     The Duration to add.
+
+        = RETURN VALUE
+        - Returns the sum of ourselves and the input Duration.
+        """
+        # Delay-load due to circular dependencies.
+        import matplotlib.testing.jpl_units as U
+
+        if isinstance(rhs, U.Epoch):
+            return rhs + self
+
+        self.checkSameFrame(rhs, "add")
+        return Duration(self._frame, self._seconds + rhs._seconds)
+
+    def __sub__(self, rhs):
+        """
+        Subtract two Durations.
+
+        = ERROR CONDITIONS
+        - If the input rhs is not in the same frame, an error is thrown.
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-#
-# Place all imports before here.
-#===========================================================================
-
-#===========================================================================
-class Duration(object):
-   """Class Duration in development.
-   """
-   allowed = [ "ET", "UTC" ]
-
-   #-----------------------------------------------------------------------
-   def __init__( self, frame, seconds ):
-      """Create a new Duration object.
-
-      = ERROR CONDITIONS
-      - If the input frame is not in the allowed list, an error is thrown.
-
-      = INPUT VARIABLES
-      - frame    The frame of the duration.  Must be 'ET' or 'UTC'
-      - seconds  The number of seconds in the Duration.
-      """
-      if frame not in self.allowed:
-         msg = "Input frame '%s' is not one of the supported frames of %s" \
-               % ( frame, str( self.allowed ) )
-         raise ValueError( msg )
-
-      self._frame = frame
-      self._seconds = seconds
-
-   #-----------------------------------------------------------------------
-   def frame( self ):
-      """Return the frame the duration is in."""
-      return self._frame
-
-   #-----------------------------------------------------------------------
-   def __abs__( self ):
-      """Return the absolute value of the duration."""
-      return Duration( self._frame, abs( self._seconds ) )
-
-   #-----------------------------------------------------------------------
-   def __neg__( self ):
-      """Return the negative value of this Duration."""
-      return Duration( self._frame, -self._seconds )
-
-   #-----------------------------------------------------------------------
-   def seconds( self ):
-      """Return the number of seconds in the Duration."""
-      return self._seconds
-
-   #-----------------------------------------------------------------------
-   def __nonzero__( self ):
-      """Compare two Durations.
-
-      = INPUT VARIABLES
-      - rhs    The Duration to compare against.
-
-      = RETURN VALUE
-      - Returns -1 if self < rhs, 0 if self == rhs, +1 if self > rhs.
-      """
-      return self._seconds != 0
-
-   if six.PY3:
-      __bool__ = __nonzero__
-
-   #-----------------------------------------------------------------------
-   def __cmp__( self, rhs ):
-      """Compare two Durations.
-
-      = ERROR CONDITIONS
-      - If the input rhs is not in the same frame, an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The Duration to compare against.
-
-      = RETURN VALUE
-      - Returns -1 if self < rhs, 0 if self == rhs, +1 if self > rhs.
-      """
-      self.checkSameFrame( rhs, "compare" )
-      return cmp( self._seconds, rhs._seconds )
-
-   #-----------------------------------------------------------------------
-   def __add__( self, rhs ):
-      """Add two Durations.
-
-      = ERROR CONDITIONS
-      - If the input rhs is not in the same frame, an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The Duration to add.
-
-      = RETURN VALUE
-      - Returns the sum of ourselves and the input Duration.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      if isinstance( rhs, U.Epoch ):
-         return rhs + self
-
-      self.checkSameFrame( rhs, "add" )
-      return Duration( self._frame, self._seconds + rhs._seconds )
-
-   #-----------------------------------------------------------------------
-   def __sub__( self, rhs ):
-      """Subtract two Durations.
-
-      = ERROR CONDITIONS
-      - If the input rhs is not in the same frame, an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The Duration to subtract.
-
-      = RETURN VALUE
-      - Returns the difference of ourselves and the input Duration.
-      """
-      self.checkSameFrame( rhs, "sub" )
-      return Duration( self._frame, self._seconds - rhs._seconds )
-
-   #-----------------------------------------------------------------------
-   def __mul__( self, rhs ):
-      """Scale a UnitDbl by a value.
-
-      = INPUT VARIABLES
-      - rhs    The scalar to multiply by.
-
-      = RETURN VALUE
-      - Returns the scaled Duration.
-      """
-      return Duration( self._frame, self._seconds * float( rhs ) )
-
-   #-----------------------------------------------------------------------
-   def __rmul__( self, lhs ):
-      """Scale a Duration by a value.
-
-      = INPUT VARIABLES
-      - lhs    The scalar to multiply by.
-
-      = RETURN VALUE
-      - Returns the scaled Duration.
-      """
-      return Duration( self._frame, self._seconds * float( lhs ) )
-
-   #-----------------------------------------------------------------------
-   def __div__( self, rhs ):
-      """Divide a Duration by a value.
-
-      = INPUT VARIABLES
-      - rhs    The scalar to divide by.
+        = INPUT VARIABLES
+        - rhs     The Duration to subtract.
 
-      = RETURN VALUE
-      - Returns the scaled Duration.
-      """
-      return Duration( self._frame, self._seconds / float( rhs ) )
-
-   #-----------------------------------------------------------------------
-   def __rdiv__( self, rhs ):
-      """Divide a Duration by a value.
-
-      = INPUT VARIABLES
-      - rhs    The scalar to divide by.
+        = RETURN VALUE
+        - Returns the difference of ourselves and the input Duration.
+        """
+        self.checkSameFrame(rhs, "sub")
+        return Duration(self._frame, self._seconds - rhs._seconds)
 
-      = RETURN VALUE
-      - Returns the scaled Duration.
-      """
-      return Duration( self._frame, float( rhs ) / self._seconds )
-
-   #-----------------------------------------------------------------------
-   def __str__( self ):
-      """Print the Duration."""
-      return "%g %s" % ( self._seconds, self._frame )
-
-   #-----------------------------------------------------------------------
-   def __repr__( self ):
-      """Print the Duration."""
-      return "Duration( '%s', %g )" % ( self._frame, self._seconds )
-
-   #-----------------------------------------------------------------------
-   def checkSameFrame( self, rhs, func ):
-      """Check to see if frames are the same.
-
-      = ERROR CONDITIONS
-      - If the frame of the rhs Duration is not the same as our frame,
-        an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The Duration to check for the same frame
-      - func   The name of the function doing the check.
-      """
-      if self._frame != rhs._frame:
-         msg = "Cannot %s Duration's with different frames.\n" \
-               "LHS: %s\n" \
-               "RHS: %s" % ( func, self._frame, rhs._frame )
-         raise ValueError( msg )
-
-#===========================================================================
+    def __mul__(self, rhs):
+        """
+        Scale a UnitDbl by a value.
+
+        = INPUT VARIABLES
+        - rhs     The scalar to multiply by.
+
+        = RETURN VALUE
+        - Returns the scaled Duration.
+        """
+        return Duration(self._frame, self._seconds * float(rhs))
+
+    __rmul__ = __mul__
+
+    def __str__(self):
+        """Print the Duration."""
+        return f"{self._seconds:g} {self._frame}"
+
+    def __repr__(self):
+        """Print the Duration."""
+        return f"Duration('{self._frame}', {self._seconds:g})"
+
+    def checkSameFrame(self, rhs, func):
+        """
+        Check to see if frames are the same.
+
+        = ERROR CONDITIONS
+        - If the frame of the rhs Duration is not the same as our frame,
+          an error is thrown.
+
+        = INPUT VARIABLES
+        - rhs     The Duration to check for the same frame
+        - func    The name of the function doing the check.
+        """
+        if self._frame != rhs._frame:
+            raise ValueError(
+                f"Cannot {func} Durations with different frames.\n"
+                f"LHS: {self._frame}\n"
+                f"RHS: {rhs._frame}")
diff --git a/lib/matplotlib/testing/jpl_units/Epoch.py b/lib/matplotlib/testing/jpl_units/Epoch.py
index 91b4c127eb5c..501b7fa38c79 100644
--- a/lib/matplotlib/testing/jpl_units/Epoch.py
+++ b/lib/matplotlib/testing/jpl_units/Epoch.py
@@ -1,238 +1,211 @@
-#===========================================================================
-#
-# Epoch
-#
-#===========================================================================
-
-
 """Epoch module."""
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import functools
+import operator
 import math
 import datetime as DT
-from matplotlib.dates import date2num
-#
-# Place all imports before here.
-#===========================================================================
-
-#===========================================================================
-class Epoch(object):
-   # Frame conversion offsets in seconds
-   # t(TO) = t(FROM) + allowed[ FROM ][ TO ]
-   allowed = {
-      "ET" : {
-         "UTC" : +64.1839,
-         },
-      "UTC" : {
-         "ET" : -64.1839,
-         },
-      }
-
-   #-----------------------------------------------------------------------
-   def __init__( self, frame, sec=None, jd=None, daynum=None, dt=None ):
-      """Create a new Epoch object.
-
-      Build an epoch 1 of 2 ways:
-
-      Using seconds past a Julian date:
-      #   Epoch( 'ET', sec=1e8, jd=2451545 )
-
-      or using a matplotlib day number
-      #   Epoch( 'ET', daynum=730119.5 )
-
-
-      = ERROR CONDITIONS
-      - If the input units are not in the allowed list, an error is thrown.
-
-      = INPUT VARIABLES
-      - frame    The frame of the epoch.  Must be 'ET' or 'UTC'
-      - sec      The number of seconds past the input JD.
-      - jd       The Julian date of the epoch.
-      - daynum   The matplotlib day number of the epoch.
-      - dt       A python datetime instance.
-      """
-      if ( ( sec is None and jd is not None ) or
-           ( sec is not None and jd is None ) or
-           ( daynum is not None and ( sec is not None or jd is not None ) ) or
-           ( daynum is None and dt is None and ( sec is None or jd is None ) ) or
-           ( daynum is not None and dt is not None ) or
-           ( dt is not None and ( sec is not None or jd is not None ) ) or
-           ( (dt is not None) and not isinstance(dt, DT.datetime) ) ):
-         msg = "Invalid inputs.  Must enter sec and jd together, " \
-               "daynum by itself, or dt (must be a python datetime).\n" \
-               "Sec = %s\nJD  = %s\ndnum= %s\ndt  = %s" \
-               % ( str( sec ), str( jd ), str( daynum ), str( dt ) )
-         raise ValueError( msg )
-
-      if frame not in self.allowed:
-         msg = "Input frame '%s' is not one of the supported frames of %s" \
-               % ( frame, str( list(six.iterkeys(self.allowed) ) ) )
-         raise ValueError(msg)
-
-      self._frame = frame
-
-      if dt is not None:
-         daynum = date2num( dt )
-
-      if daynum is not None:
-         # 1-JAN-0001 in JD = 1721425.5
-         jd = float( daynum ) + 1721425.5
-         self._jd = math.floor( jd )
-         self._seconds = ( jd - self._jd ) * 86400.0
-
-      else:
-         self._seconds = float( sec )
-         self._jd = float( jd )
-
-         # Resolve seconds down to [ 0, 86400 )
-         deltaDays = int( math.floor( self._seconds / 86400.0 ) )
-         self._jd += deltaDays
-         self._seconds -= deltaDays * 86400.0
-
-   #-----------------------------------------------------------------------
-   def convert( self, frame ):
-      if self._frame == frame:
-         return self
-
-      offset = self.allowed[ self._frame ][ frame ]
-
-      return Epoch( frame, self._seconds + offset, self._jd )
-
-   #-----------------------------------------------------------------------
-   def frame( self ):
-      return self._frame
-
-   #-----------------------------------------------------------------------
-   def julianDate( self, frame ):
-      t = self
-      if frame != self._frame:
-         t = self.convert( frame )
-
-      return t._jd + t._seconds / 86400.0
-
-   #-----------------------------------------------------------------------
-   def secondsPast( self, frame, jd ):
-      t = self
-      if frame != self._frame:
-         t = self.convert( frame )
-
-      delta = t._jd - jd
-      return t._seconds + delta * 86400
-
-   #-----------------------------------------------------------------------
-   def __cmp__( self, rhs ):
-      """Compare two Epoch's.
-
-      = INPUT VARIABLES
-      - rhs    The Epoch to compare against.
-
-      = RETURN VALUE
-      - Returns -1 if self < rhs, 0 if self == rhs, +1 if self > rhs.
-      """
-      t = self
-      if self._frame != rhs._frame:
-         t = self.convert( rhs._frame )
-
-      if t._jd != rhs._jd:
-         return cmp( t._jd, rhs._jd )
-
-      return cmp( t._seconds, rhs._seconds )
-
-   #-----------------------------------------------------------------------
-   def __add__( self, rhs ):
-      """Add a duration to an Epoch.
-
-      = INPUT VARIABLES
-      - rhs    The Epoch to subtract.
-
-      = RETURN VALUE
-      - Returns the difference of ourselves and the input Epoch.
-      """
-      t = self
-      if self._frame != rhs.frame():
-         t = self.convert( rhs._frame )
-
-      sec = t._seconds + rhs.seconds()
-
-      return Epoch( t._frame, sec, t._jd )
-
-   #-----------------------------------------------------------------------
-   def __sub__( self, rhs ):
-      """Subtract two Epoch's or a Duration from an Epoch.
-
-      Valid:
-      Duration = Epoch - Epoch
-      Epoch = Epoch - Duration
-
-      = INPUT VARIABLES
-      - rhs    The Epoch to subtract.
 
-      = RETURN VALUE
-      - Returns either the duration between to Epoch's or the a new
-        Epoch that is the result of subtracting a duration from an epoch.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      # Handle Epoch - Duration
-      if isinstance( rhs, U.Duration ):
-         return self + -rhs
-
-      t = self
-      if self._frame != rhs._frame:
-         t = self.convert( rhs._frame )
-
-      days = t._jd - rhs._jd
-      sec = t._seconds - rhs._seconds
-
-      return U.Duration( rhs._frame, days*86400 + sec )
-
-   #-----------------------------------------------------------------------
-   def __str__( self ):
-      """Print the Epoch."""
-      return "%22.15e %s" % ( self.julianDate( self._frame ), self._frame )
-
-   #-----------------------------------------------------------------------
-   def __repr__( self ):
-      """Print the Epoch."""
-      return str( self )
-
-   #-----------------------------------------------------------------------
-   def range( start, stop, step ):
-      """Generate a range of Epoch objects.
+from matplotlib import _api
+from matplotlib.dates import date2num
 
-      Similar to the Python range() method.  Returns the range [
-      start, stop ) at the requested step.  Each element will be a
-      Epoch object.
 
-      = INPUT VARIABLES
-      - start    The starting value of the range.
-      - stop     The stop value of the range.
-      - step     Step to use.
+class Epoch:
+    # Frame conversion offsets in seconds
+    # t(TO) = t(FROM) + allowed[ FROM ][ TO ]
+    allowed = {
+        "ET": {
+            "UTC": +64.1839,
+            },
+        "UTC": {
+            "ET": -64.1839,
+            },
+        }
+
+    def __init__(self, frame, sec=None, jd=None, daynum=None, dt=None):
+        """
+        Create a new Epoch object.
+
+        Build an epoch 1 of 2 ways:
+
+        Using seconds past a Julian date:
+        #   Epoch('ET', sec=1e8, jd=2451545)
+
+        or using a matplotlib day number
+        #   Epoch('ET', daynum=730119.5)
+
+        = ERROR CONDITIONS
+        - If the input units are not in the allowed list, an error is thrown.
+
+        = INPUT VARIABLES
+        - frame     The frame of the epoch.  Must be 'ET' or 'UTC'
+        - sec        The number of seconds past the input JD.
+        - jd         The Julian date of the epoch.
+        - daynum    The matplotlib day number of the epoch.
+        - dt         A python datetime instance.
+        """
+        if ((sec is None and jd is not None) or
+                (sec is not None and jd is None) or
+                (daynum is not None and
+                 (sec is not None or jd is not None)) or
+                (daynum is None and dt is None and
+                 (sec is None or jd is None)) or
+                (daynum is not None and dt is not None) or
+                (dt is not None and (sec is not None or jd is not None)) or
+                ((dt is not None) and not isinstance(dt, DT.datetime))):
+            raise ValueError(
+                "Invalid inputs.  Must enter sec and jd together, "
+                "daynum by itself, or dt (must be a python datetime).\n"
+                "Sec = %s\n"
+                "JD  = %s\n"
+                "dnum= %s\n"
+                "dt  = %s" % (sec, jd, daynum, dt))
+
+        _api.check_in_list(self.allowed, frame=frame)
+        self._frame = frame
+
+        if dt is not None:
+            daynum = date2num(dt)
+
+        if daynum is not None:
+            # 1-JAN-0001 in JD = 1721425.5
+            jd = float(daynum) + 1721425.5
+            self._jd = math.floor(jd)
+            self._seconds = (jd - self._jd) * 86400.0
+
+        else:
+            self._seconds = float(sec)
+            self._jd = float(jd)
+
+            # Resolve seconds down to [ 0, 86400)
+            deltaDays = math.floor(self._seconds / 86400)
+            self._jd += deltaDays
+            self._seconds -= deltaDays * 86400.0
+
+    def convert(self, frame):
+        if self._frame == frame:
+            return self
+
+        offset = self.allowed[self._frame][frame]
+
+        return Epoch(frame, self._seconds + offset, self._jd)
+
+    def frame(self):
+        return self._frame
+
+    def julianDate(self, frame):
+        t = self
+        if frame != self._frame:
+            t = self.convert(frame)
+
+        return t._jd + t._seconds / 86400.0
+
+    def secondsPast(self, frame, jd):
+        t = self
+        if frame != self._frame:
+            t = self.convert(frame)
+
+        delta = t._jd - jd
+        return t._seconds + delta * 86400
+
+    def _cmp(self, op, rhs):
+        """Compare Epochs *self* and *rhs* using operator *op*."""
+        t = self
+        if self._frame != rhs._frame:
+            t = self.convert(rhs._frame)
+        if t._jd != rhs._jd:
+            return op(t._jd, rhs._jd)
+        return op(t._seconds, rhs._seconds)
+
+    __eq__ = functools.partialmethod(_cmp, operator.eq)
+    __ne__ = functools.partialmethod(_cmp, operator.ne)
+    __lt__ = functools.partialmethod(_cmp, operator.lt)
+    __le__ = functools.partialmethod(_cmp, operator.le)
+    __gt__ = functools.partialmethod(_cmp, operator.gt)
+    __ge__ = functools.partialmethod(_cmp, operator.ge)
+
+    def __add__(self, rhs):
+        """
+        Add a duration to an Epoch.
+
+        = INPUT VARIABLES
+        - rhs     The Epoch to subtract.
+
+        = RETURN VALUE
+        - Returns the difference of ourselves and the input Epoch.
+        """
+        t = self
+        if self._frame != rhs.frame():
+            t = self.convert(rhs._frame)
+
+        sec = t._seconds + rhs.seconds()
+
+        return Epoch(t._frame, sec, t._jd)
+
+    def __sub__(self, rhs):
+        """
+        Subtract two Epoch's or a Duration from an Epoch.
+
+        Valid:
+        Duration = Epoch - Epoch
+        Epoch = Epoch - Duration
+
+        = INPUT VARIABLES
+        - rhs     The Epoch to subtract.
+
+        = RETURN VALUE
+        - Returns either the duration between to Epoch's or the a new
+          Epoch that is the result of subtracting a duration from an epoch.
+        """
+        # Delay-load due to circular dependencies.
+        import matplotlib.testing.jpl_units as U
 
-      = RETURN VALUE
-      - Returns a list contianing the requested Epoch values.
-      """
-      elems = []
+        # Handle Epoch - Duration
+        if isinstance(rhs, U.Duration):
+            return self + -rhs
 
-      i = 0
-      while True:
-         d = start + i * step
-         if d >= stop:
-            break
+        t = self
+        if self._frame != rhs._frame:
+            t = self.convert(rhs._frame)
+
+        days = t._jd - rhs._jd
+        sec = t._seconds - rhs._seconds
+
+        return U.Duration(rhs._frame, days*86400 + sec)
 
-         elems.append( d )
-         i += 1
+    def __str__(self):
+        """Print the Epoch."""
+        return f"{self.julianDate(self._frame):22.15e} {self._frame}"
 
-      return elems
+    def __repr__(self):
+        """Print the Epoch."""
+        return str(self)
 
-   range = staticmethod( range )
+    @staticmethod
+    def range(start, stop, step):
+        """
+        Generate a range of Epoch objects.
 
-#===========================================================================
+        Similar to the Python range() method.  Returns the range [
+        start, stop) at the requested step.  Each element will be a
+        Epoch object.
+
+        = INPUT VARIABLES
+        - start     The starting value of the range.
+        - stop      The stop value of the range.
+        - step      Step to use.
+
+        = RETURN VALUE
+        - Returns a list containing the requested Epoch values.
+        """
+        elems = []
+
+        i = 0
+        while True:
+            d = start + i * step
+            if d >= stop:
+                break
+
+            elems.append(d)
+            i += 1
+
+        return elems
diff --git a/lib/matplotlib/testing/jpl_units/EpochConverter.py b/lib/matplotlib/testing/jpl_units/EpochConverter.py
index dc0f36c3b7a5..1edc2acf2b24 100644
--- a/lib/matplotlib/testing/jpl_units/EpochConverter.py
+++ b/lib/matplotlib/testing/jpl_units/EpochConverter.py
@@ -1,165 +1,94 @@
-#===========================================================================
-#
-# EpochConverter
-#
-#===========================================================================
-
-
 """EpochConverter module containing class EpochConverter."""
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib.units as units
+from matplotlib import cbook, units
 import matplotlib.dates as date_ticker
-from matplotlib.cbook import iterable
-#
-# Place all imports before here.
-#===========================================================================
-
-__all__ = [ 'EpochConverter' ]
-
-#===========================================================================
-class EpochConverter( units.ConversionInterface ):
-   """: A matplotlib converter class.  Provides matplotlib conversion
-        functionality for Monte Epoch and Duration classes.
-   """
-
-   # julian date reference for "Jan 1, 0001" minus 1 day because
-   # matplotlib really wants "Jan 0, 0001"
-   jdRef = 1721425.5 - 1
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def axisinfo( unit, axis ):
-      """: Returns information on how to handle an axis that has Epoch data.
-
-      = INPUT VARIABLES
-      - unit    The units to use for a axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns a matplotlib AxisInfo data structure that contains
-        minor/major formatters, major/minor locators, and default
-        label information.
-      """
-
-      majloc = date_ticker.AutoDateLocator()
-      majfmt = date_ticker.AutoDateFormatter( majloc )
-
-      return units.AxisInfo( majloc = majloc,
-                             majfmt = majfmt,
-                             label = unit )
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def float2epoch( value, unit ):
-      """: Convert a matplotlib floating-point date into an Epoch of the
-           specified units.
-
-      = INPUT VARIABLES
-      - value    The matplotlib floating-point date.
-      - unit     The unit system to use for the Epoch.
-
-      = RETURN VALUE
-      - Returns the value converted to an Epoch in the sepcified time system.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      secPastRef = value * 86400.0 * U.UnitDbl( 1.0, 'sec' )
-      return U.Epoch( unit, secPastRef, EpochConverter.jdRef )
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def epoch2float( value, unit ):
-      """: Convert an Epoch value to a float suitible for plotting as a
-           python datetime object.
-
-      = INPUT VARIABLES
-      - value   An Epoch or list of Epochs that need to be converted.
-      - unit    The units to use for an axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns the value parameter converted to floats.
-      """
-      return value.julianDate( unit ) - EpochConverter.jdRef
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def duration2float( value ):
-      """: Convert a Duration value to a float suitible for plotting as a
-           python datetime object.
-
-      = INPUT VARIABLES
-      - value   A Duration or list of Durations that need to be converted.
-
-      = RETURN VALUE
-      - Returns the value parameter converted to floats.
-      """
-      return value.days()
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def convert( value, unit, axis ):
-      """: Convert value using unit to a float.  If value is a sequence, return
-      the converted sequence.
-
-      = INPUT VARIABLES
-      - value   The value or list of values that need to be converted.
-      - unit    The units to use for an axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns the value parameter converted to floats.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      isNotEpoch = True
-      isDuration = False
-
-      if ( iterable(value) and not isinstance(value, six.string_types) ):
-         if ( len(value) == 0 ):
-            return []
-         else:
-            return [ EpochConverter.convert( x, unit, axis ) for x in value ]
-
-      if ( isinstance(value, U.Epoch) ):
-         isNotEpoch = False
-      elif ( isinstance(value, U.Duration) ):
-         isDuration = True
-
-      if ( isNotEpoch and not isDuration and
-           units.ConversionInterface.is_numlike( value ) ):
-         return value
-
-      if ( unit == None ):
-         unit = EpochConverter.default_units( value, axis )
-
-      if ( isDuration ):
-         return EpochConverter.duration2float( value )
-      else:
-         return EpochConverter.epoch2float( value, unit )
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def default_units( value, axis ):
-      """: Return the default unit for value, or None.
-
-      = INPUT VARIABLES
-      - value   The value or list of values that need units.
-
-      = RETURN VALUE
-      - Returns the default units to use for value.
-      """
-      frame = None
-      if ( iterable(value) and not isinstance(value, six.string_types) ):
-         return EpochConverter.default_units( value[0], axis )
-      else:
-         frame = value.frame()
-
-      return frame
+
+__all__ = ['EpochConverter']
+
+
+class EpochConverter(units.ConversionInterface):
+    """
+    Provides Matplotlib conversion functionality for Monte Epoch and Duration
+    classes.
+    """
+
+    jdRef = 1721425.5
+
+    @staticmethod
+    def axisinfo(unit, axis):
+        # docstring inherited
+        majloc = date_ticker.AutoDateLocator()
+        majfmt = date_ticker.AutoDateFormatter(majloc)
+        return units.AxisInfo(majloc=majloc, majfmt=majfmt, label=unit)
+
+    @staticmethod
+    def float2epoch(value, unit):
+        """
+        Convert a Matplotlib floating-point date into an Epoch of the specified
+        units.
+
+        = INPUT VARIABLES
+        - value     The Matplotlib floating-point date.
+        - unit      The unit system to use for the Epoch.
+
+        = RETURN VALUE
+        - Returns the value converted to an Epoch in the specified time system.
+        """
+        # Delay-load due to circular dependencies.
+        import matplotlib.testing.jpl_units as U
+
+        secPastRef = value * 86400.0 * U.UnitDbl(1.0, 'sec')
+        return U.Epoch(unit, secPastRef, EpochConverter.jdRef)
+
+    @staticmethod
+    def epoch2float(value, unit):
+        """
+        Convert an Epoch value to a float suitable for plotting as a python
+        datetime object.
+
+        = INPUT VARIABLES
+        - value    An Epoch or list of Epochs that need to be converted.
+        - unit     The units to use for an axis with Epoch data.
+
+        = RETURN VALUE
+        - Returns the value parameter converted to floats.
+        """
+        return value.julianDate(unit) - EpochConverter.jdRef
+
+    @staticmethod
+    def duration2float(value):
+        """
+        Convert a Duration value to a float suitable for plotting as a python
+        datetime object.
+
+        = INPUT VARIABLES
+        - value    A Duration or list of Durations that need to be converted.
+
+        = RETURN VALUE
+        - Returns the value parameter converted to floats.
+        """
+        return value.seconds() / 86400.0
+
+    @staticmethod
+    def convert(value, unit, axis):
+        # docstring inherited
+
+        # Delay-load due to circular dependencies.
+        import matplotlib.testing.jpl_units as U
+
+        if not cbook.is_scalar_or_string(value):
+            return [EpochConverter.convert(x, unit, axis) for x in value]
+        if unit is None:
+            unit = EpochConverter.default_units(value, axis)
+        if isinstance(value, U.Duration):
+            return EpochConverter.duration2float(value)
+        else:
+            return EpochConverter.epoch2float(value, unit)
+
+    @staticmethod
+    def default_units(value, axis):
+        # docstring inherited
+        if cbook.is_scalar_or_string(value):
+            return value.frame()
+        else:
+            return EpochConverter.default_units(value[0], axis)
diff --git a/lib/matplotlib/testing/jpl_units/StrConverter.py b/lib/matplotlib/testing/jpl_units/StrConverter.py
index b5b8814f7c78..a62d4981dc79 100644
--- a/lib/matplotlib/testing/jpl_units/StrConverter.py
+++ b/lib/matplotlib/testing/jpl_units/StrConverter.py
@@ -1,164 +1,97 @@
-#===========================================================================
-#
-# StrConverter
-#
-#===========================================================================
-
-
 """StrConverter module containing class StrConverter."""
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
+import numpy as np
 
 import matplotlib.units as units
-from matplotlib.cbook import iterable
-
-# Place all imports before here.
-#===========================================================================
-
-__all__ = [ 'StrConverter' ]
-
-#===========================================================================
-class StrConverter( units.ConversionInterface ):
-   """: A matplotlib converter class.  Provides matplotlib conversion
-        functionality for string data values.
-
-   Valid units for string are:
-   - 'indexed' : Values are indexed as they are specified for plotting.
-   - 'sorted'  : Values are sorted alphanumerically.
-   - 'inverted' : Values are inverted so that the first value is on top.
-   - 'sorted-inverted' :  A combination of 'sorted' and 'inverted'
-   """
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def axisinfo( unit, axis ):
-      """: Returns information on how to handle an axis that has string data.
-
-      = INPUT VARIABLES
-      - axis    The axis using this converter.
-      - unit    The units to use for a axis with string data.
-
-      = RETURN VALUE
-      - Returns a matplotlib AxisInfo data structure that contains
-        minor/major formatters, major/minor locators, and default
-        label information.
-      """
-
-      return None
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def convert( value, unit, axis ):
-      """: Convert value using unit to a float.  If value is a sequence, return
-      the converted sequence.
-
-      = INPUT VARIABLES
-      - axis    The axis using this converter.
-      - value   The value or list of values that need to be converted.
-      - unit    The units to use for a axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns the value parameter converted to floats.
-      """
-
-      if ( units.ConversionInterface.is_numlike( value ) ):
-         return value
-
-      if ( value == [] ):
-         return []
-
-      # we delay loading to make matplotlib happy
-      ax = axis.axes
-      if axis is ax.get_xaxis():
-         isXAxis = True
-      else:
-         isXAxis = False
-
-      axis.get_major_ticks()
-      ticks = axis.get_ticklocs()
-      labels = axis.get_ticklabels()
-
-      labels = [ l.get_text() for l in labels if l.get_text() ]
-
-      if ( not labels ):
-         ticks = []
-         labels = []
-
-
-      if ( not iterable( value ) ):
-         value = [ value ]
-
-      newValues = []
-      for v in value:
-         if ( (v not in labels) and (v not in newValues) ):
-            newValues.append( v )
-
-      for v in newValues:
-         if ( labels ):
-            labels.append( v )
-         else:
-            labels = [ v ]
-
-      #DISABLED: This is disabled because matplotlib bar plots do not
-      #DISABLED: recalculate the unit conversion of the data values
-      #DISABLED: this is due to design and is not really a bug.
-      #DISABLED: If this gets changed, then we can activate the following
-      #DISABLED: block of code.  Note that this works for line plots.
-      #DISABLED if ( unit ):
-      #DISABLED    if ( unit.find( "sorted" ) > -1 ):
-      #DISABLED       labels.sort()
-      #DISABLED    if ( unit.find( "inverted" ) > -1 ):
-      #DISABLED       labels = labels[ ::-1 ]
-
-      # add padding (so they do not appear on the axes themselves)
-      labels = [ '' ] + labels + [ '' ]
-      ticks = list(xrange( len(labels) ))
-      ticks[0] = 0.5
-      ticks[-1] = ticks[-1] - 0.5
-
-      axis.set_ticks( ticks )
-      axis.set_ticklabels( labels )
-      # we have to do the following lines to make ax.autoscale_view work
-      loc = axis.get_major_locator()
-      loc.set_bounds( ticks[0], ticks[-1] )
-
-      if ( isXAxis ):
-         ax.set_xlim( ticks[0], ticks[-1] )
-      else:
-         ax.set_ylim( ticks[0], ticks[-1] )
-
-      result = []
-      for v in value:
-         # If v is not in labels then something went wrong with adding new
-         # labels to the list of old labels.
-         errmsg  = "This is due to a logic error in the StrConverter class.  "
-         errmsg += "Please report this error and its message in bugzilla."
-         assert ( v in labels ), errmsg
-         result.append( ticks[ labels.index(v) ] )
-
-      ax.viewLim.ignore(-1)
-      return result
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def default_units( value, axis ):
-      """: Return the default unit for value, or None.
-
-      = INPUT VARIABLES
-      - axis    The axis using this converter.
-      - value   The value or list of values that need units.
-
-      = RETURN VALUE
-      - Returns the default units to use for value.
-      Return the default unit for value, or None.
-      """
-
-      # The default behavior for string indexing.
-      return "indexed"
+
+__all__ = ['StrConverter']
+
+
+class StrConverter(units.ConversionInterface):
+    """
+    A Matplotlib converter class for string data values.
+
+    Valid units for string are:
+    - 'indexed' : Values are indexed as they are specified for plotting.
+    - 'sorted'  : Values are sorted alphanumerically.
+    - 'inverted' : Values are inverted so that the first value is on top.
+    - 'sorted-inverted' :  A combination of 'sorted' and 'inverted'
+    """
+
+    @staticmethod
+    def axisinfo(unit, axis):
+        # docstring inherited
+        return None
+
+    @staticmethod
+    def convert(value, unit, axis):
+        # docstring inherited
+
+        if value == []:
+            return []
+
+        # we delay loading to make matplotlib happy
+        ax = axis.axes
+        if axis is ax.xaxis:
+            isXAxis = True
+        else:
+            isXAxis = False
+
+        axis.get_major_ticks()
+        ticks = axis.get_ticklocs()
+        labels = axis.get_ticklabels()
+
+        labels = [l.get_text() for l in labels if l.get_text()]
+
+        if not labels:
+            ticks = []
+            labels = []
+
+        if not np.iterable(value):
+            value = [value]
+
+        newValues = []
+        for v in value:
+            if v not in labels and v not in newValues:
+                newValues.append(v)
+
+        labels.extend(newValues)
+
+        # DISABLED: This is disabled because matplotlib bar plots do not
+        # DISABLED: recalculate the unit conversion of the data values
+        # DISABLED: this is due to design and is not really a bug.
+        # DISABLED: If this gets changed, then we can activate the following
+        # DISABLED: block of code.  Note that this works for line plots.
+        # DISABLED if unit:
+        # DISABLED     if unit.find("sorted") > -1:
+        # DISABLED         labels.sort()
+        # DISABLED     if unit.find("inverted") > -1:
+        # DISABLED         labels = labels[::-1]
+
+        # add padding (so they do not appear on the axes themselves)
+        labels = [''] + labels + ['']
+        ticks = list(range(len(labels)))
+        ticks[0] = 0.5
+        ticks[-1] = ticks[-1] - 0.5
+
+        axis.set_ticks(ticks)
+        axis.set_ticklabels(labels)
+        # we have to do the following lines to make ax.autoscale_view work
+        loc = axis.get_major_locator()
+        loc.set_bounds(ticks[0], ticks[-1])
+
+        if isXAxis:
+            ax.set_xlim(ticks[0], ticks[-1])
+        else:
+            ax.set_ylim(ticks[0], ticks[-1])
+
+        result = [ticks[labels.index(v)] for v in value]
+
+        ax.viewLim.ignore(-1)
+        return result
+
+    @staticmethod
+    def default_units(value, axis):
+        # docstring inherited
+        # The default behavior for string indexing.
+        return "indexed"
diff --git a/lib/matplotlib/testing/jpl_units/UnitDbl.py b/lib/matplotlib/testing/jpl_units/UnitDbl.py
index 4eca2fb30951..5226c06ad54b 100644
--- a/lib/matplotlib/testing/jpl_units/UnitDbl.py
+++ b/lib/matplotlib/testing/jpl_units/UnitDbl.py
@@ -1,294 +1,180 @@
-#===========================================================================
-#
-# UnitDbl
-#
-#===========================================================================
-
-
 """UnitDbl module."""
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-#
-# Place all imports before here.
-#===========================================================================
-
-
-#===========================================================================
-class UnitDbl(object):
-   """Class UnitDbl in development.
-   """
-   #-----------------------------------------------------------------------
-   # Unit conversion table.  Small subset of the full one but enough
-   # to test the required functions.  First field is a scale factor to
-   # convert the input units to the units of the second field.  Only
-   # units in this table are allowed.
-   allowed = {
-               "m" : ( 0.001, "km" ),
-               "km" : ( 1, "km" ),
-               "mile" : ( 1.609344, "km" ),
-
-               "rad" : ( 1, "rad" ),
-               "deg" : ( 1.745329251994330e-02, "rad" ),
-
-               "sec" : ( 1, "sec" ),
-               "min" : ( 60.0, "sec" ),
-               "hour" : ( 3600, "sec" ),
-             }
-
-   _types = {
-              "km" : "distance",
-              "rad" : "angle",
-              "sec" : "time",
-            }
-
-   #-----------------------------------------------------------------------
-   def __init__( self, value, units ):
-      """Create a new UnitDbl object.
-
-      Units are internally converted to km, rad, and sec.  The only
-      valid inputs for units are [ m, km, mile, rad, deg, sec, min, hour ].
-
-      The field UnitDbl.value will contain the converted value.  Use
-      the convert() method to get a specific type of units back.
-
-      = ERROR CONDITIONS
-      - If the input units are not in the allowed list, an error is thrown.
-
-      = INPUT VARIABLES
-      - value    The numeric value of the UnitDbl.
-      - units    The string name of the units the value is in.
-      """
-      self.checkUnits( units )
-
-      data = self.allowed[ units ]
-      self._value = float( value * data[0] )
-      self._units = data[1]
-
-   #-----------------------------------------------------------------------
-   def convert( self, units ):
-      """Convert the UnitDbl to a specific set of units.
-
-      = ERROR CONDITIONS
-      - If the input units are not in the allowed list, an error is thrown.
-
-      = INPUT VARIABLES
-      - units    The string name of the units to convert to.
-
-      = RETURN VALUE
-      - Returns the value of the UnitDbl in the requested units as a floating
-        point number.
-      """
-      if self._units == units:
-         return self._value
-
-      self.checkUnits( units )
-
-      data = self.allowed[ units ]
-      if self._units != data[1]:
-         msg = "Error trying to convert to different units.\n" \
-               "   Invalid conversion requested.\n" \
-               "   UnitDbl: %s\n" \
-               "   Units:   %s\n" % ( str( self ), units )
-         raise ValueError( msg )
-
-      return self._value / data[0]
-
-   #-----------------------------------------------------------------------
-   def __abs__( self ):
-      """Return the absolute value of this UnitDbl."""
-      return UnitDbl( abs( self._value ), self._units )
-
-   #-----------------------------------------------------------------------
-   def __neg__( self ):
-      """Return the negative value of this UnitDbl."""
-      return UnitDbl( -self._value, self._units )
-
-   #-----------------------------------------------------------------------
-   def __nonzero__( self ):
-      """Test a UnitDbl for a non-zero value.
-
-      = RETURN VALUE
-      - Returns true if the value is non-zero.
-      """
-      return self._value.__nonzero__()
-
-   if six.PY3:
-      __bool__ = __nonzero__
-
-   #-----------------------------------------------------------------------
-   def __cmp__( self, rhs ):
-      """Compare two UnitDbl's.
-
-      = ERROR CONDITIONS
-      - If the input rhs units are not the same as our units,
-        an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The UnitDbl to compare against.
-
-      = RETURN VALUE
-      - Returns -1 if self < rhs, 0 if self == rhs, +1 if self > rhs.
-      """
-      self.checkSameUnits( rhs, "compare" )
-      return cmp( self._value, rhs._value )
-
-   #-----------------------------------------------------------------------
-   def __add__( self, rhs ):
-      """Add two UnitDbl's.
-
-      = ERROR CONDITIONS
-      - If the input rhs units are not the same as our units,
-        an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The UnitDbl to add.
-
-      = RETURN VALUE
-      - Returns the sum of ourselves and the input UnitDbl.
-      """
-      self.checkSameUnits( rhs, "add" )
-      return UnitDbl( self._value + rhs._value, self._units )
-
-   #-----------------------------------------------------------------------
-   def __sub__( self, rhs ):
-      """Subtract two UnitDbl's.
-
-      = ERROR CONDITIONS
-      - If the input rhs units are not the same as our units,
-        an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The UnitDbl to subtract.
-
-      = RETURN VALUE
-      - Returns the difference of ourselves and the input UnitDbl.
-      """
-      self.checkSameUnits( rhs, "subtract" )
-      return UnitDbl( self._value - rhs._value, self._units )
-
-   #-----------------------------------------------------------------------
-   def __mul__( self, rhs ):
-      """Scale a UnitDbl by a value.
-
-      = INPUT VARIABLES
-      - rhs    The scalar to multiply by.
-
-      = RETURN VALUE
-      - Returns the scaled UnitDbl.
-      """
-      return UnitDbl( self._value * rhs, self._units )
-
-   #-----------------------------------------------------------------------
-   def __rmul__( self, lhs ):
-      """Scale a UnitDbl by a value.
-
-      = INPUT VARIABLES
-      - lhs    The scalar to multiply by.
-
-      = RETURN VALUE
-      - Returns the scaled UnitDbl.
-      """
-      return UnitDbl( self._value * lhs, self._units )
-
-   #-----------------------------------------------------------------------
-   def __div__( self, rhs ):
-      """Divide a UnitDbl by a value.
-
-      = INPUT VARIABLES
-      - rhs    The scalar to divide by.
-
-      = RETURN VALUE
-      - Returns the scaled UnitDbl.
-      """
-      return UnitDbl( self._value / rhs, self._units )
-
-   #-----------------------------------------------------------------------
-   def __str__( self ):
-      """Print the UnitDbl."""
-      return "%g *%s" % ( self._value, self._units )
-
-   #-----------------------------------------------------------------------
-   def __repr__( self ):
-      """Print the UnitDbl."""
-      return "UnitDbl( %g, '%s' )" % ( self._value, self._units )
-
-   #-----------------------------------------------------------------------
-   def type( self ):
-      """Return the type of UnitDbl data."""
-      return self._types[ self._units ]
-
-   #-----------------------------------------------------------------------
-   def range( start, stop, step=None ):
-      """Generate a range of UnitDbl objects.
-
-      Similar to the Python range() method.  Returns the range [
-      start, stop ) at the requested step.  Each element will be a
-      UnitDbl object.
-
-      = INPUT VARIABLES
-      - start    The starting value of the range.
-      - stop     The stop value of the range.
-      - step     Optional step to use.  If set to None, then a UnitDbl of
-                 value 1 w/ the units of the start is used.
-
-      = RETURN VALUE
-      - Returns a list contianing the requested UnitDbl values.
-      """
-      if step is None:
-         step = UnitDbl( 1, start._units )
-
-      elems = []
-
-      i = 0
-      while True:
-         d = start + i * step
-         if d >= stop:
-            break
-
-         elems.append( d )
-         i += 1
-
-      return elems
-
-   range = staticmethod( range )
-
-   #-----------------------------------------------------------------------
-   def checkUnits( self, units ):
-      """Check to see if some units are valid.
-
-      = ERROR CONDITIONS
-      - If the input units are not in the allowed list, an error is thrown.
-
-      = INPUT VARIABLES
-      - units    The string name of the units to check.
-      """
-      if units not in self.allowed:
-         msg = "Input units '%s' are not one of the supported types of %s" \
-               % ( units, str( list(six.iterkeys(self.allowed)) ) )
-         raise ValueError( msg )
-
-   #-----------------------------------------------------------------------
-   def checkSameUnits( self, rhs, func ):
-      """Check to see if units are the same.
-
-      = ERROR CONDITIONS
-      - If the units of the rhs UnitDbl are not the same as our units,
-        an error is thrown.
-
-      = INPUT VARIABLES
-      - rhs    The UnitDbl to check for the same units
-      - func   The name of the function doing the check.
-      """
-      if self._units != rhs._units:
-         msg = "Cannot %s units of different types.\n" \
-               "LHS: %s\n" \
-               "RHS: %s" % ( func, self._units, rhs._units )
-         raise ValueError( msg )
-
-#===========================================================================
+import functools
+import operator
+
+from matplotlib import _api
+
+
+class UnitDbl:
+    """Class UnitDbl in development."""
+
+    # Unit conversion table.  Small subset of the full one but enough
+    # to test the required functions.  First field is a scale factor to
+    # convert the input units to the units of the second field.  Only
+    # units in this table are allowed.
+    allowed = {
+        "m": (0.001, "km"),
+        "km": (1, "km"),
+        "mile": (1.609344, "km"),
+
+        "rad": (1, "rad"),
+        "deg": (1.745329251994330e-02, "rad"),
+
+        "sec": (1, "sec"),
+        "min": (60.0, "sec"),
+        "hour": (3600, "sec"),
+        }
+
+    _types = {
+        "km": "distance",
+        "rad": "angle",
+        "sec": "time",
+        }
+
+    def __init__(self, value, units):
+        """
+        Create a new UnitDbl object.
+
+        Units are internally converted to km, rad, and sec.  The only
+        valid inputs for units are [m, km, mile, rad, deg, sec, min, hour].
+
+        The field UnitDbl.value will contain the converted value.  Use
+        the convert() method to get a specific type of units back.
+
+        = ERROR CONDITIONS
+        - If the input units are not in the allowed list, an error is thrown.
+
+        = INPUT VARIABLES
+        - value     The numeric value of the UnitDbl.
+        - units     The string name of the units the value is in.
+        """
+        data = _api.check_getitem(self.allowed, units=units)
+        self._value = float(value * data[0])
+        self._units = data[1]
+
+    def convert(self, units):
+        """
+        Convert the UnitDbl to a specific set of units.
+
+        = ERROR CONDITIONS
+        - If the input units are not in the allowed list, an error is thrown.
+
+        = INPUT VARIABLES
+        - units     The string name of the units to convert to.
+
+        = RETURN VALUE
+        - Returns the value of the UnitDbl in the requested units as a floating
+          point number.
+        """
+        if self._units == units:
+            return self._value
+        data = _api.check_getitem(self.allowed, units=units)
+        if self._units != data[1]:
+            raise ValueError(f"Error trying to convert to different units.\n"
+                             f"    Invalid conversion requested.\n"
+                             f"    UnitDbl: {self}\n"
+                             f"    Units:   {units}\n")
+        return self._value / data[0]
+
+    def __abs__(self):
+        """Return the absolute value of this UnitDbl."""
+        return UnitDbl(abs(self._value), self._units)
+
+    def __neg__(self):
+        """Return the negative value of this UnitDbl."""
+        return UnitDbl(-self._value, self._units)
+
+    def __bool__(self):
+        """Return the truth value of a UnitDbl."""
+        return bool(self._value)
+
+    def _cmp(self, op, rhs):
+        """Check that *self* and *rhs* share units; compare them using *op*."""
+        self.checkSameUnits(rhs, "compare")
+        return op(self._value, rhs._value)
+
+    __eq__ = functools.partialmethod(_cmp, operator.eq)
+    __ne__ = functools.partialmethod(_cmp, operator.ne)
+    __lt__ = functools.partialmethod(_cmp, operator.lt)
+    __le__ = functools.partialmethod(_cmp, operator.le)
+    __gt__ = functools.partialmethod(_cmp, operator.gt)
+    __ge__ = functools.partialmethod(_cmp, operator.ge)
+
+    def _binop_unit_unit(self, op, rhs):
+        """Check that *self* and *rhs* share units; combine them using *op*."""
+        self.checkSameUnits(rhs, op.__name__)
+        return UnitDbl(op(self._value, rhs._value), self._units)
+
+    __add__ = functools.partialmethod(_binop_unit_unit, operator.add)
+    __sub__ = functools.partialmethod(_binop_unit_unit, operator.sub)
+
+    def _binop_unit_scalar(self, op, scalar):
+        """Combine *self* and *scalar* using *op*."""
+        return UnitDbl(op(self._value, scalar), self._units)
+
+    __mul__ = functools.partialmethod(_binop_unit_scalar, operator.mul)
+    __rmul__ = functools.partialmethod(_binop_unit_scalar, operator.mul)
+
+    def __str__(self):
+        """Print the UnitDbl."""
+        return f"{self._value:g} *{self._units}"
+
+    def __repr__(self):
+        """Print the UnitDbl."""
+        return f"UnitDbl({self._value:g}, '{self._units}')"
+
+    def type(self):
+        """Return the type of UnitDbl data."""
+        return self._types[self._units]
+
+    @staticmethod
+    def range(start, stop, step=None):
+        """
+        Generate a range of UnitDbl objects.
+
+        Similar to the Python range() method.  Returns the range [
+        start, stop) at the requested step.  Each element will be a
+        UnitDbl object.
+
+        = INPUT VARIABLES
+        - start     The starting value of the range.
+        - stop      The stop value of the range.
+        - step      Optional step to use.  If set to None, then a UnitDbl of
+                      value 1 w/ the units of the start is used.
+
+        = RETURN VALUE
+        - Returns a list containing the requested UnitDbl values.
+        """
+        if step is None:
+            step = UnitDbl(1, start._units)
+
+        elems = []
+
+        i = 0
+        while True:
+            d = start + i * step
+            if d >= stop:
+                break
+
+            elems.append(d)
+            i += 1
+
+        return elems
+
+    def checkSameUnits(self, rhs, func):
+        """
+        Check to see if units are the same.
+
+        = ERROR CONDITIONS
+        - If the units of the rhs UnitDbl are not the same as our units,
+          an error is thrown.
+
+        = INPUT VARIABLES
+        - rhs     The UnitDbl to check for the same units
+        - func    The name of the function doing the check.
+        """
+        if self._units != rhs._units:
+            raise ValueError(f"Cannot {func} units of different types.\n"
+                             f"LHS: {self._units}\n"
+                             f"RHS: {rhs._units}")
diff --git a/lib/matplotlib/testing/jpl_units/UnitDblConverter.py b/lib/matplotlib/testing/jpl_units/UnitDblConverter.py
index 73bda0bb7f5b..23065379f581 100644
--- a/lib/matplotlib/testing/jpl_units/UnitDblConverter.py
+++ b/lib/matplotlib/testing/jpl_units/UnitDblConverter.py
@@ -1,160 +1,85 @@
-#===========================================================================
-#
-# UnitDblConverter
-#
-#===========================================================================
-
-
 """UnitDblConverter module containing class UnitDblConverter."""
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
-import matplotlib.units as units
-import matplotlib.ticker as ticker
+
+from matplotlib import cbook, units
 import matplotlib.projections.polar as polar
-from matplotlib.cbook import iterable
-#
-# Place all imports before here.
-#===========================================================================
 
-__all__ = [ 'UnitDblConverter' ]
+__all__ = ['UnitDblConverter']
 
-#===========================================================================
 
 # A special function for use with the matplotlib FuncFormatter class
 # for formatting axes with radian units.
 # This was copied from matplotlib example code.
-def rad_fn(x, pos = None ):
-   """Radian function formatter."""
-   n = int((x / np.pi) * 2.0 + 0.25)
-   if n == 0:
-      return str(x)
-   elif n == 1:
-      return r'$\pi/2$'
-   elif n == 2:
-      return r'$\pi$'
-   elif n % 2 == 0:
-      return r'$%s\pi$' % (n/2,)
-   else:
-      return r'$%s\pi/2$' % (n,)
-
-#===========================================================================
-class UnitDblConverter( units.ConversionInterface ):
-   """: A matplotlib converter class.  Provides matplotlib conversion
-        functionality for the Monte UnitDbl class.
-   """
-
-   # default for plotting
-   defaults = {
-                 "distance" : 'km',
-                 "angle" : 'deg',
-                 "time" : 'sec',
-              }
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def axisinfo( unit, axis ):
-      """: Returns information on how to handle an axis that has Epoch data.
-
-      = INPUT VARIABLES
-      - unit    The units to use for a axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns a matplotlib AxisInfo data structure that contains
-        minor/major formatters, major/minor locators, and default
-        label information.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      # Check to see if the value used for units is a string unit value
-      # or an actual instance of a UnitDbl so that we can use the unit
-      # value for the default axis label value.
-      if ( unit ):
-         if ( isinstance( unit, six.string_types ) ):
-            label = unit
-         else:
-            label = unit.label()
-      else:
-         label = None
-
-      if ( label == "deg" ) and isinstance( axis.axes, polar.PolarAxes ):
-         # If we want degrees for a polar plot, use the PolarPlotFormatter
-         majfmt = polar.PolarAxes.ThetaFormatter()
-      else:
-         majfmt = U.UnitDblFormatter( useOffset = False )
-
-      return units.AxisInfo( majfmt = majfmt, label = label )
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def convert( value, unit, axis ):
-      """: Convert value using unit to a float.  If value is a sequence, return
-      the converted sequence.
-
-      = INPUT VARIABLES
-      - value   The value or list of values that need to be converted.
-      - unit    The units to use for a axis with Epoch data.
-
-      = RETURN VALUE
-      - Returns the value parameter converted to floats.
-      """
-      # Delay-load due to circular dependencies.
-      import matplotlib.testing.jpl_units as U
-
-      isNotUnitDbl = True
-
-      if ( iterable(value) and not isinstance(value, six.string_types) ):
-         if ( len(value) == 0 ):
-            return []
-         else:
-            return [ UnitDblConverter.convert( x, unit, axis ) for x in value ]
-
-      # We need to check to see if the incoming value is actually a UnitDbl and
-      # set a flag.  If we get an empty list, then just return an empty list.
-      if ( isinstance(value, U.UnitDbl) ):
-         isNotUnitDbl = False
-
-      # If the incoming value behaves like a number, but is not a UnitDbl,
-      # then just return it because we don't know how to convert it
-      # (or it is already converted)
-      if ( isNotUnitDbl and units.ConversionInterface.is_numlike( value ) ):
-         return value
-
-      # If no units were specified, then get the default units to use.
-      if ( unit == None ):
-         unit = UnitDblConverter.default_units( value, axis )
-
-      # Convert the incoming UnitDbl value/values to float/floats
-      if isinstance( axis.axes, polar.PolarAxes ) and (value.type() == "angle"):
-         # Guarantee that units are radians for polar plots.
-         return value.convert( "rad" )
-
-      return value.convert( unit )
-
-   #------------------------------------------------------------------------
-   @staticmethod
-   def default_units( value, axis ):
-      """: Return the default unit for value, or None.
-
-      = INPUT VARIABLES
-      - value   The value or list of values that need units.
-
-      = RETURN VALUE
-      - Returns the default units to use for value.
-      Return the default unit for value, or None.
-      """
-
-      # Determine the default units based on the user preferences set for
-      # default units when printing a UnitDbl.
-      if ( iterable(value) and not isinstance(value, six.string_types) ):
-         return UnitDblConverter.default_units( value[0], axis )
-      else:
-         return UnitDblConverter.defaults[ value.type() ]
+def rad_fn(x, pos=None):
+    """Radian function formatter."""
+    n = int((x / np.pi) * 2.0 + 0.25)
+    if n == 0:
+        return str(x)
+    elif n == 1:
+        return r'$\pi/2$'
+    elif n == 2:
+        return r'$\pi$'
+    elif n % 2 == 0:
+        return fr'${n//2}\pi$'
+    else:
+        return fr'${n}\pi/2$'
+
+
+class UnitDblConverter(units.ConversionInterface):
+    """
+    Provides Matplotlib conversion functionality for the Monte UnitDbl class.
+    """
+    # default for plotting
+    defaults = {
+       "distance": 'km',
+       "angle": 'deg',
+       "time": 'sec',
+       }
+
+    @staticmethod
+    def axisinfo(unit, axis):
+        # docstring inherited
+
+        # Delay-load due to circular dependencies.
+        import matplotlib.testing.jpl_units as U
+
+        # Check to see if the value used for units is a string unit value
+        # or an actual instance of a UnitDbl so that we can use the unit
+        # value for the default axis label value.
+        if unit:
+            label = unit if isinstance(unit, str) else unit.label()
+        else:
+            label = None
+
+        if label == "deg" and isinstance(axis.axes, polar.PolarAxes):
+            # If we want degrees for a polar plot, use the PolarPlotFormatter
+            majfmt = polar.PolarAxes.ThetaFormatter()
+        else:
+            majfmt = U.UnitDblFormatter(useOffset=False)
+
+        return units.AxisInfo(majfmt=majfmt, label=label)
+
+    @staticmethod
+    def convert(value, unit, axis):
+        # docstring inherited
+        if not cbook.is_scalar_or_string(value):
+            return [UnitDblConverter.convert(x, unit, axis) for x in value]
+        # If no units were specified, then get the default units to use.
+        if unit is None:
+            unit = UnitDblConverter.default_units(value, axis)
+        # Convert the incoming UnitDbl value/values to float/floats
+        if isinstance(axis.axes, polar.PolarAxes) and value.type() == "angle":
+            # Guarantee that units are radians for polar plots.
+            return value.convert("rad")
+        return value.convert(unit)
+
+    @staticmethod
+    def default_units(value, axis):
+        # docstring inherited
+        # Determine the default units based on the user preferences set for
+        # default units when printing a UnitDbl.
+        if cbook.is_scalar_or_string(value):
+            return UnitDblConverter.defaults[value.type()]
+        else:
+            return UnitDblConverter.default_units(value[0], axis)
diff --git a/lib/matplotlib/testing/jpl_units/UnitDblFormatter.py b/lib/matplotlib/testing/jpl_units/UnitDblFormatter.py
index c63f396c81e8..30a9914015bc 100644
--- a/lib/matplotlib/testing/jpl_units/UnitDblFormatter.py
+++ b/lib/matplotlib/testing/jpl_units/UnitDblFormatter.py
@@ -1,47 +1,28 @@
-#===========================================================================
-#
-# UnitDblFormatter
-#
-#===========================================================================
+"""UnitDblFormatter module containing class UnitDblFormatter."""
 
+import matplotlib.ticker as ticker
 
-"""UnitDblFormatter module containing class UnitDblFormatter."""
+__all__ = ['UnitDblFormatter']
 
-#===========================================================================
-# Place all imports after here.
-#
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+class UnitDblFormatter(ticker.ScalarFormatter):
+    """
+    The formatter for UnitDbl data types.
 
-import matplotlib.ticker as ticker
-#
-# Place all imports before here.
-#===========================================================================
-
-__all__ = [ 'UnitDblFormatter' ]
-
-#===========================================================================
-class UnitDblFormatter( ticker.ScalarFormatter ):
-   """The formatter for UnitDbl data types.  This allows for formatting
-      with the unit string.
-   """
-   def __init__( self, *args, **kwargs ):
-      'The arguments are identical to matplotlib.ticker.ScalarFormatter.'
-      ticker.ScalarFormatter.__init__( self, *args, **kwargs )
-
-   def __call__( self, x, pos = None ):
-      'Return the format for tick val x at position pos'
-      if len(self.locs) == 0:
-         return ''
-      else:
-         return str(x)
-
-   def format_data_short( self, value ):
-      "Return the value formatted in 'short' format."
-      return str(value)
-
-   def format_data( self, value ):
-      "Return the value formatted into a string."
-      return str(value)
+    This allows for formatting with the unit string.
+    """
+
+    def __call__(self, x, pos=None):
+        # docstring inherited
+        if len(self.locs) == 0:
+            return ''
+        else:
+            return f'{x:.12}'
+
+    def format_data_short(self, value):
+        # docstring inherited
+        return f'{value:.12}'
+
+    def format_data(self, value):
+        # docstring inherited
+        return f'{value:.12}'
diff --git a/lib/matplotlib/testing/jpl_units/__init__.py b/lib/matplotlib/testing/jpl_units/__init__.py
index 842cc677fbfe..b8caa9a8957a 100644
--- a/lib/matplotlib/testing/jpl_units/__init__.py
+++ b/lib/matplotlib/testing/jpl_units/__init__.py
@@ -1,8 +1,6 @@
-#=======================================================================
-
 """
-This is a sample set of units for use with testing unit conversion
-of matplotlib routines.  These are used because they use very strict
+A sample set of units for use with testing unit conversion
+of Matplotlib routines.  These are used because they use very strict
 enforcement of unitized data which will test the entire spectrum of how
 unitized data might be used (it is not always meaningful to convert to
 a float without specific units given).
@@ -10,7 +8,7 @@
 UnitDbl is essentially a unitized floating point number.  It has a
 minimal set of supported units (enough for testing purposes).  All
 of the mathematical operation are provided to fully test any behaviour
-that might occur with unitized data.  Remeber that unitized data has
+that might occur with unitized data.  Remember that unitized data has
 rules as to how it can be applied to one another (a value of distance
 cannot be added to a value of time).  Thus we need to guard against any
 accidental "default" conversion that will strip away the meaning of the
@@ -20,26 +18,16 @@
 measured where an Epoch is a specific moment in time.  Epochs are typically
 referenced as an offset from some predetermined epoch.
 
-A difference of two epochs is a Duration.  The distinction between a
-Duration and a UnitDbl of time is made because an Epoch can have different
-frames (or units).  In the case of our test Epoch class the two allowed
-frames are 'UTC' and 'ET' (Note that these are rough estimates provided for
-testing purposes and should not be used in production code where accuracy
-of time frames is desired).  As such a Duration also has a frame of
-reference and therefore needs to be called out as different that a simple
-measurement of time since a delta-t in one frame may not be the same in another.
+A difference of two epochs is a Duration.  The distinction between a Duration
+and a UnitDbl of time is made because an Epoch can have different frames (or
+units).  In the case of our test Epoch class the two allowed frames are 'UTC'
+and 'ET' (Note that these are rough estimates provided for testing purposes
+and should not be used in production code where accuracy of time frames is
+desired).  As such a Duration also has a frame of reference and therefore needs
+to be called out as different that a simple measurement of time since a delta-t
+in one frame may not be the same in another.
 """
 
-#=======================================================================
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from .Duration import Duration
-from .Epoch import Epoch
-from .UnitDbl import UnitDbl
-
 from .Duration import Duration
 from .Epoch import Epoch
 from .UnitDbl import UnitDbl
@@ -50,7 +38,6 @@
 
 from .UnitDblFormatter import UnitDblFormatter
 
-#=======================================================================
 
 __version__ = "1.0"
 
@@ -62,30 +49,28 @@
             'UnitDblFormatter',
           ]
 
-#=======================================================================
+
 def register():
-   """Register the unit conversion classes with matplotlib."""
-   import matplotlib.units as mplU
+    """Register the unit conversion classes with matplotlib."""
+    import matplotlib.units as mplU
 
-   mplU.registry[ str ] = StrConverter()
-   mplU.registry[ Epoch ] = EpochConverter()
-   mplU.registry[ UnitDbl ] = UnitDblConverter()
+    mplU.registry[str] = StrConverter()
+    mplU.registry[Epoch] = EpochConverter()
+    mplU.registry[Duration] = EpochConverter()
+    mplU.registry[UnitDbl] = UnitDblConverter()
 
-#=======================================================================
-# Some default unit instances
 
+# Some default unit instances
 # Distances
-m = UnitDbl( 1.0, "m" )
-km = UnitDbl( 1.0, "km" )
-mile = UnitDbl( 1.0, "mile" )
-
+m = UnitDbl(1.0, "m")
+km = UnitDbl(1.0, "km")
+mile = UnitDbl(1.0, "mile")
 # Angles
-deg = UnitDbl( 1.0, "deg" )
-rad = UnitDbl( 1.0, "rad" )
-
+deg = UnitDbl(1.0, "deg")
+rad = UnitDbl(1.0, "rad")
 # Time
-sec = UnitDbl( 1.0, "sec" )
-min = UnitDbl( 1.0, "min" )
-hr = UnitDbl( 1.0, "hour" )
-day = UnitDbl( 24.0, "hour" )
-sec = UnitDbl( 1.0, "sec" )
+sec = UnitDbl(1.0, "sec")
+min = UnitDbl(1.0, "min")
+hr = UnitDbl(1.0, "hour")
+day = UnitDbl(24.0, "hour")
+sec = UnitDbl(1.0, "sec")
diff --git a/lib/matplotlib/testing/jpl_units/meson.build b/lib/matplotlib/testing/jpl_units/meson.build
new file mode 100644
index 000000000000..c950f0bfa4dd
--- /dev/null
+++ b/lib/matplotlib/testing/jpl_units/meson.build
@@ -0,0 +1,16 @@
+python_sources = [
+  '__init__.py',
+  'Duration.py',
+  'EpochConverter.py',
+  'Epoch.py',
+  'StrConverter.py',
+  'UnitDblConverter.py',
+  'UnitDblFormatter.py',
+  'UnitDbl.py',
+]
+
+typing_sources = [
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/testing/jpl_units')
diff --git a/lib/matplotlib/testing/meson.build b/lib/matplotlib/testing/meson.build
new file mode 100644
index 000000000000..1016f81941ca
--- /dev/null
+++ b/lib/matplotlib/testing/meson.build
@@ -0,0 +1,22 @@
+python_sources = [
+  '__init__.py',
+  '_markers.py',
+  'compare.py',
+  'conftest.py',
+  'decorators.py',
+  'exceptions.py',
+  'widgets.py',
+]
+
+typing_sources = [
+  '__init__.pyi',
+  'compare.pyi',
+  'conftest.pyi',
+  'decorators.pyi',
+  'widgets.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/testing')
+
+subdir('jpl_units')
diff --git a/lib/matplotlib/testing/noseclasses.py b/lib/matplotlib/testing/noseclasses.py
deleted file mode 100644
index 4c28df243f68..000000000000
--- a/lib/matplotlib/testing/noseclasses.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os
-from nose.plugins.errorclass import ErrorClass, ErrorClassPlugin
-
-class KnownFailureTest(Exception):
-    '''Raise this exception to mark a test as a known failing test.'''
-    pass
-
-class KnownFailureDidNotFailTest(Exception):
-    '''Raise this exception to mark a test should have failed but did not.'''
-    pass
-
-class ImageComparisonFailure(AssertionError):
-    '''Raise this exception to mark a test as a comparison between two images.'''
-
-class KnownFailure(ErrorClassPlugin):
-    '''Plugin that installs a KNOWNFAIL error class for the
-    KnownFailureClass exception.  When KnownFailureTest is raised,
-    the exception will be logged in the knownfail attribute of the
-    result, 'K' or 'KNOWNFAIL' (verbose) will be output, and the
-    exception will not be counted as an error or failure.
-
-    This is based on numpy.testing.noseclasses.KnownFailure.
-    '''
-    enabled = True
-    knownfail = ErrorClass(KnownFailureTest,
-                           label='KNOWNFAIL',
-                           isfailure=False)
-
-    def options(self, parser, env=os.environ):
-        env_opt = 'NOSE_WITHOUT_KNOWNFAIL'
-        parser.add_option('--no-knownfail', action='store_true',
-                          dest='noKnownFail', default=env.get(env_opt, False),
-                          help='Disable special handling of KnownFailureTest '
-                               'exceptions')
-
-    def configure(self, options, conf):
-        if not self.can_configure:
-            return
-        self.conf = conf
-        disable = getattr(options, 'noKnownFail', False)
-        if disable:
-            self.enabled = False
-
-    def addError( self, test, err, *zero_nine_capt_args ):
-        # Fixme (Really weird): if I don't leave empty method here,
-        # nose gets confused and KnownFails become testing errors when
-        # using the MplNosePlugin and MplTestCase.
-
-        # The *zero_nine_capt_args captures an extra argument. There
-        # seems to be a bug in
-        # nose.testing.manager.ZeroNinePlugin.addError() in which a
-        # 3rd positional argument ("capt") is passed to the plugin's
-        # addError() method, even if one is not explicitly using the
-        # ZeroNinePlugin.
-        pass
diff --git a/lib/matplotlib/testing/widgets.py b/lib/matplotlib/testing/widgets.py
new file mode 100644
index 000000000000..3962567aa7c0
--- /dev/null
+++ b/lib/matplotlib/testing/widgets.py
@@ -0,0 +1,119 @@
+"""
+========================
+Widget testing utilities
+========================
+
+See also :mod:`matplotlib.tests.test_widgets`.
+"""
+
+from unittest import mock
+
+import matplotlib.pyplot as plt
+
+
+def get_ax():
+    """Create a plot and return its Axes."""
+    fig, ax = plt.subplots(1, 1)
+    ax.plot([0, 200], [0, 200])
+    ax.set_aspect(1.0)
+    fig.canvas.draw()
+    return ax
+
+
+def noop(*args, **kwargs):
+    pass
+
+
+def mock_event(ax, button=1, xdata=0, ydata=0, key=None, step=1):
+    r"""
+    Create a mock event that can stand in for `.Event` and its subclasses.
+
+    This event is intended to be used in tests where it can be passed into
+    event handling functions.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The Axes the event will be in.
+    xdata : float
+        x coord of mouse in data coords.
+    ydata : float
+        y coord of mouse in data coords.
+    button : None or `MouseButton` or {'up', 'down'}
+        The mouse button pressed in this event (see also `.MouseEvent`).
+    key : None or str
+        The key pressed when the mouse event triggered (see also `.KeyEvent`).
+    step : int
+        Number of scroll steps (positive for 'up', negative for 'down').
+
+    Returns
+    -------
+    event
+        A `.Event`\-like Mock instance.
+    """
+    event = mock.Mock()
+    event.button = button
+    event.x, event.y = ax.transData.transform([(xdata, ydata),
+                                               (xdata, ydata)])[0]
+    event.xdata, event.ydata = xdata, ydata
+    event.inaxes = ax
+    event.canvas = ax.get_figure(root=True).canvas
+    event.key = key
+    event.step = step
+    event.guiEvent = None
+    event.name = 'Custom'
+    return event
+
+
+def do_event(tool, etype, button=1, xdata=0, ydata=0, key=None, step=1):
+    """
+    Trigger an event on the given tool.
+
+    Parameters
+    ----------
+    tool : matplotlib.widgets.AxesWidget
+    etype : str
+        The event to trigger.
+    xdata : float
+        x coord of mouse in data coords.
+    ydata : float
+        y coord of mouse in data coords.
+    button : None or `MouseButton` or {'up', 'down'}
+        The mouse button pressed in this event (see also `.MouseEvent`).
+    key : None or str
+        The key pressed when the mouse event triggered (see also `.KeyEvent`).
+    step : int
+        Number of scroll steps (positive for 'up', negative for 'down').
+    """
+    event = mock_event(tool.ax, button, xdata, ydata, key, step)
+    func = getattr(tool, etype)
+    func(event)
+
+
+def click_and_drag(tool, start, end, key=None):
+    """
+    Helper to simulate a mouse drag operation.
+
+    Parameters
+    ----------
+    tool : `~matplotlib.widgets.Widget`
+    start : [float, float]
+        Starting point in data coordinates.
+    end : [float, float]
+        End point in data coordinates.
+    key : None or str
+         An optional key that is pressed during the whole operation
+         (see also `.KeyEvent`).
+    """
+    if key is not None:
+        # Press key
+        do_event(tool, 'on_key_press', xdata=start[0], ydata=start[1],
+                 button=1, key=key)
+    # Click, move, and release mouse
+    do_event(tool, 'press', xdata=start[0], ydata=start[1], button=1)
+    do_event(tool, 'onmove', xdata=end[0], ydata=end[1], button=1)
+    do_event(tool, 'release', xdata=end[0], ydata=end[1], button=1)
+    if key is not None:
+        # Release key
+        do_event(tool, 'on_key_release', xdata=end[0], ydata=end[1],
+                 button=1, key=key)
diff --git a/lib/matplotlib/testing/widgets.pyi b/lib/matplotlib/testing/widgets.pyi
new file mode 100644
index 000000000000..858ff4571582
--- /dev/null
+++ b/lib/matplotlib/testing/widgets.pyi
@@ -0,0 +1,31 @@
+from typing import Any, Literal
+
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import Event, MouseButton
+from matplotlib.widgets import AxesWidget, Widget
+
+def get_ax() -> Axes: ...
+def noop(*args: Any, **kwargs: Any) -> None: ...
+def mock_event(
+    ax: Axes,
+    button: MouseButton | int | Literal["up", "down"] | None = ...,
+    xdata: float = ...,
+    ydata: float = ...,
+    key: str | None = ...,
+    step: int = ...,
+) -> Event: ...
+def do_event(
+    tool: AxesWidget,
+    etype: str,
+    button: MouseButton | int | Literal["up", "down"] | None = ...,
+    xdata: float = ...,
+    ydata: float = ...,
+    key: str | None = ...,
+    step: int = ...,
+) -> None: ...
+def click_and_drag(
+    tool: Widget,
+    start: tuple[float, float],
+    end: tuple[float, float],
+    key: str | None = ...,
+) -> None: ...
diff --git a/lib/matplotlib/tests/README b/lib/matplotlib/tests/README
index 0f243229a0c6..0613afcc85a3 100644
--- a/lib/matplotlib/tests/README
+++ b/lib/matplotlib/tests/README
@@ -4,6 +4,5 @@ About Matplotlib Testing Infrastructure
 Information on the testing infrastructure is provided in
 the Testing section of the Matplotlib Developers’ Guide:
 
-* http://matplotlib.org/devel/testing.html
+* https://matplotlib.org/devel/testing.html
 * <mpl_source_dir>/doc/devel/coding_guide.rst (equivalent, but in reST format)
-
diff --git a/lib/matplotlib/tests/__init__.py b/lib/matplotlib/tests/__init__.py
index e08f07a7511d..8cce4fe4558d 100644
--- a/lib/matplotlib/tests/__init__.py
+++ b/lib/matplotlib/tests/__init__.py
@@ -1,74 +1,10 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from pathlib import Path
 
-import six
 
-import difflib
-import os
-
-from matplotlib import rcParams, rcdefaults, use
-
-
-_multiprocess_can_split_ = True
-
-
-# Check that the test directories exist
-if not os.path.exists(os.path.join(
-        os.path.dirname(__file__), 'baseline_images')):
-    raise IOError(
+# Check that the test directories exist.
+if not (Path(__file__).parent / 'baseline_images').exists():
+    raise OSError(
         'The baseline image directory does not exist. '
         'This is most likely because the test data is not installed. '
         'You may need to install matplotlib from source to get the '
         'test data.')
-
-
-def setup():
-    # The baseline images are created in this locale, so we should use
-    # it during all of the tests.
-    import locale
-    import warnings
-    from matplotlib.backends import backend_agg, backend_pdf, backend_svg
-
-    try:
-        locale.setlocale(locale.LC_ALL, str('en_US.UTF-8'))
-    except locale.Error:
-        try:
-            locale.setlocale(locale.LC_ALL, str('English_United States.1252'))
-        except locale.Error:
-            warnings.warn(
-                "Could not set locale to English/United States. "
-                "Some date-related tests may fail")
-
-    use('Agg', warn=False)  # use Agg backend for these tests
-
-    # These settings *must* be hardcoded for running the comparison
-    # tests and are not necessarily the default values as specified in
-    # rcsetup.py
-    rcdefaults()  # Start with all defaults
-    rcParams['font.family'] = 'Bitstream Vera Sans'
-    rcParams['text.hinting'] = False
-    rcParams['text.hinting_factor'] = 8
-
-    # Clear the font caches.  Otherwise, the hinting mode can travel
-    # from one test to another.
-    backend_agg.RendererAgg._fontd.clear()
-    backend_pdf.RendererPdf.truetype_font_cache.clear()
-    backend_svg.RendererSVG.fontd.clear()
-
-
-def assert_str_equal(reference_str, test_str,
-                     format_str=('String {str1} and {str2} do not '
-                                 'match:\n{differences}')):
-    """
-    Assert the two strings are equal. If not, fail and print their
-    diffs using difflib.
-
-    """
-    if reference_str != test_str:
-        diff = difflib.unified_diff(reference_str.splitlines(1),
-                                    test_str.splitlines(1),
-                                    'Reference', 'Test result',
-                                    '', '', 0)
-        raise ValueError(format_str.format(str1=reference_str,
-                                           str2=test_str,
-                                           differences=''.join(diff)))
diff --git a/lib/matplotlib/tests/baseline_images/dviread/test.dvi b/lib/matplotlib/tests/baseline_images/dviread/test.dvi
new file mode 100644
index 000000000000..93751ffdcba0
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/dviread/test.dvi differ
diff --git a/lib/matplotlib/tests/baseline_images/dviread/test.json b/lib/matplotlib/tests/baseline_images/dviread/test.json
new file mode 100644
index 000000000000..0809cb9531f1
--- /dev/null
+++ b/lib/matplotlib/tests/baseline_images/dviread/test.json
@@ -0,0 +1,94 @@
+[
+  {
+    "text": [
+	[5046272, 4128768, "T", "cmr10", 9.96],
+	[5519588, 4128768, "h", "cmr10", 9.96],
+	[5883678, 4128768, "i", "cmr10", 9.96],
+	[6065723, 4128768, "s", "cmr10", 9.96],
+	[6542679, 4128768, "i", "cmr10", 9.96],
+	[6724724, 4128768, "s", "cmr10", 9.96],
+	[7201680, 4128768, "a", "cmr10", 9.96],
+	[7747814, 4128768, "L", "cmr10", 9.96],
+	[7921485, 3994421, "A", "cmr7", 6.97],
+	[8210032, 4128768, "T", "cmr10", 9.96],
+	[8574098, 4269852, "E", "cmr10", 9.96],
+	[8938188, 4128768, "X", "cmr10", 9.96],
+	[9648162, 4128768, "t", "cmr10", 9.96],
+	[9903025, 4128768, "e", "cmr10", 9.96],
+	[10194296, 4128768, "s", "cmr10", 9.96],
+	[10452799, 4128768, "t", "cmr10", 9.96],
+	[10926115, 4128768, "d", "cmr10", 9.96],
+	[11290205, 4128768, "o", "cmr10", 9.96],
+	[11636091, 4128768, "c", "cmr10", 9.96],
+	[11927362, 4128768, "u", "cmr10", 9.96],
+	[12291452, 4128768, "m", "cmr10", 9.96],
+	[12837587, 4128768, "e", "cmr10", 9.96],
+	[13128858, 4128768, "n", "cmr10", 9.96],
+	[13474743, 4128768, "t", "cmr10", 9.96],
+	[4063232, 4915200, "f", "cmr10", 9.96],
+	[4263482, 4915200, "o", "cmr10", 9.96],
+	[4591163, 4915200, "r", "cmr10", 9.96],
+	[5066299, 4915200, "t", "cmr10", 9.96],
+	[5321162, 4915200, "e", "cmr10", 9.96],
+	[5612433, 4915200, "s", "cmr10", 9.96],
+	[5870936, 4915200, "t", "cmr10", 9.96],
+	[6125799, 4915200, "i", "cmr10", 9.96],
+	[6307844, 4915200, "n", "cmr10", 9.96],
+	[6671934, 4915200, "g", "cmr10", 9.96],
+	[7218068, 4915200, "m", "cmr10", 9.96],
+	[7764203, 4915200, "a", "cmr10", 9.96],
+	[8091884, 4915200, "t", "cmr10", 9.96],
+	[8346747, 4915200, "p", "cmr10", 9.96],
+	[8710837, 4915200, "l", "cmr10", 9.96],
+	[8892882, 4915200, "o", "cmr10", 9.96],
+	[9220563, 4915200, "t", "cmr10", 9.96],
+	[9475426, 4915200, "l", "cmr10", 9.96],
+	[9657471, 4915200, "i", "cmr10", 9.96],
+	[9839516, 4915200, "b", "cmr10", 9.96],
+	[10203606, 4915200, "'", "cmr10", 9.96],
+	[10385651, 4915200, "s", "cmr10", 9.96],
+	[10862607, 4915200, "d", "cmr10", 9.96],
+	[11226697, 4915200, "v", "cmr10", 9.96],
+	[11572583, 4915200, "i", "cmr10", 9.96],
+	[11754628, 4915200, "r", "cmr10", 9.96],
+	[12011311, 4915200, "e", "cmr10", 9.96],
+	[12302582, 4915200, "a", "cmr10", 9.96],
+	[12630263, 4915200, "d", "cmr10", 9.96],
+	[13686591, 6629148, "\u0019", "cmmi5", 4.98],
+	[13717140, 6963172, "2", "cmr5", 4.98],
+	[13355327, 7035991, "Z", "cmex10", 9.96],
+	[13406754, 8897228, "0", "cmr7", 6.97],
+	[14010688, 7200560, "\u0010", "cmex10", 9.96],
+	[14937658, 7484660, "x", "cmmi10", 9.96],
+	[14480727, 8377560, "s", "cmr10", 9.96],
+	[14739230, 8377560, "i", "cmr10", 9.96],
+	[14921275, 8377560, "n", "cmr10", 9.96],
+	[15394589, 8377560, "x", "cmmi10", 9.96],
+	[15847788, 7200560, "\u0011", "cmex10", 9.96],
+	[16239184, 7336365, "2", "cmr7", 6.97],
+	[16642411, 7928016, "d", "cmr10", 9.96],
+	[17006501, 7928016, "x", "cmmi10", 9.96]
+    ],
+    "boxes": [
+      [4063232, 5701632, 65536, 22609920],
+      [13686591, 6703682, 26213, 284106],
+      [14480727, 7777282, 26213, 1288418]
+    ]
+  },
+  {
+    "text": [
+	[5046272, 4128768, "a", "cmr10", 9.96],
+	[5373953, 4128768, "n", "cmr10", 9.96],
+	[5738043, 4128768, "o", "cmr10", 9.96],
+	[6065724, 4128768, "t", "cmr10", 9.96],
+	[6320587, 4128768, "h", "cmr10", 9.96],
+	[6684677, 4128768, "e", "cmr10", 9.96],
+	[6975948, 4128768, "r", "cmr10", 9.96],
+	[7451084, 4128768, "p", "cmr10", 9.96],
+	[7815174, 4128768, "a", "cmr10", 9.96],
+	[8142855, 4128768, "g", "cmr10", 9.96],
+	[8470536, 4128768, "e", "cmr10", 9.96]
+    ],
+    "boxes": []
+  }
+]
diff --git a/lib/matplotlib/tests/baseline_images/dviread/test.map b/lib/matplotlib/tests/baseline_images/dviread/test.map
index eb5bea7a2076..67ceb014b415 100644
--- a/lib/matplotlib/tests/baseline_images/dviread/test.map
+++ b/lib/matplotlib/tests/baseline_images/dviread/test.map
@@ -1,10 +1,33 @@
 % used by test_dviread.py
 TeXfont1 PSfont1 <font1.pfb <font1.enc
 TeXfont2 PSfont2 <font2.enc <font2.pfa
-TeXfont3 PSfont3 "1.23 UnknownEffect" <[enc3.foo <font3.pfa
-TeXfont4 PSfont4 "-0.1 SlantFont 2.2 ExtendFont" <font4.enc <font4.pfa
+TeXfont3 PSfont3 "1.23 UnknownEffect" <[enc3.foo < font3.pfa
+TeXfont4 PSfont4 "-0.1 SlantFont 1.2 ExtendFont" <font4.enc <font4.pfa
 TeXfont5 PSfont5 <encoding1.enc <encoding2.enc <font5.pfb
 TeXfont6 PSfont6
-TeXfont7 PSfont7 <font7.enc
-TeXfont8 PSfont8 <font8.pfb
-TeXfont9 PSfont9 </absolute/font9.pfb
\ No newline at end of file
+TeXfont7 PSfont7 < font7.enc
+TeXfont8 PSfont8 <<font8.pfb
+TeXfont9 </absolute/font9.pfb
+% Only the first of a duplicate key is used.
+TeXfontA PSfontA1
+TeXfontA PSfontA2
+%
+% Check SlantFont/ExtendFont
+%
+% Options are only allowed on T1 fonts (3 TrueType, 1 bitmap, and 1 T1 below).
+TeXfontB PSfontB1 "-0.1 SlantFont 1.2 ExtendFont" <fontB1.enc <fontB1.ttf
+TeXfontB PSfontB2 "-0.1 SlantFont" <fontB2.enc <fontB2.ttc
+TeXfontB PSfontB3 "1.2 ExtendFont" <fontB3.enc <fontB3.otf
+TeXfontB "0.1 SlantFont 1.2 ExtendFont"
+% Also, only within range ±1 / ±2.
+TeXfontB PSfontB4 "1.1 SlantFont 1.2 ExtendFont"
+TeXfontB PSfontB5 "0.1 SlantFont 2.2 ExtendFont"
+% This is the only one that works:
+TeXfontB PSfontB6
+%
+% Invalid TrueType entry.
+%
+% Must have encodingfile if subsetted.
+TeXfontC PSfontC1 <fontC1.ttf
+TeXfontC PSfontC2 <fontC2.ttc
+TeXfontC PSfontC3 <fontC3.ttf <8r.enc
diff --git a/lib/matplotlib/tests/baseline_images/dviread/test.tex b/lib/matplotlib/tests/baseline_images/dviread/test.tex
new file mode 100644
index 000000000000..33220fedae3e
--- /dev/null
+++ b/lib/matplotlib/tests/baseline_images/dviread/test.tex
@@ -0,0 +1,17 @@
+% source file for test.dvi
+\documentclass{article}
+\pagestyle{empty}
+\begin{document}
+This is a \LaTeX\ test document\\
+for testing matplotlib's dviread
+
+\noindent\rule{\textwidth}{1pt}
+
+\[ \int\limits_0^{\frac{\pi}{2}} \Bigl(\frac{x}{\sin x}\Bigr)^2\,\mathrm{d}x \]
+
+\special{Special!}
+
+\newpage
+another page
+
+\end{document}
diff --git a/lib/matplotlib/tests/baseline_images/test_agg/agg_filter.png b/lib/matplotlib/tests/baseline_images/test_agg/agg_filter.png
new file mode 100644
index 000000000000..33a30a333909
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_agg/agg_filter.png differ
diff --git a/lib/matplotlib/tests/baseline_images/test_agg_filter/agg_filter_alpha.gif b/lib/matplotlib/tests/baseline_images/test_agg_filter/agg_filter_alpha.gif
new file mode 100644
index 000000000000..01a2d0bc288e
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_agg_filter/agg_filter_alpha.gif differ
diff --git a/lib/matplotlib/tests/baseline_images/test_agg_filter/agg_filter_alpha.pdf b/lib/matplotlib/tests/baseline_images/test_agg_filter/agg_filter_alpha.pdf
new file mode 100644
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" 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diff --git a/lib/matplotlib/tests/baseline_images/test_backend_ps/multi_font_type42.eps b/lib/matplotlib/tests/baseline_images/test_backend_ps/multi_font_type42.eps
new file mode 100644
index 000000000000..e448344deeb9
--- /dev/null
+++ b/lib/matplotlib/tests/baseline_images/test_backend_ps/multi_font_type42.eps
@@ -0,0 +1,2830 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%LanguageLevel: 3
+%%Title: multi_font_type42.eps
+%%Creator: Matplotlib v3.10.0.dev856+g03f7095b8c, https://matplotlib.org/
+%%CreationDate: Wed Oct 16 16:10:36 2024
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+   {pop pop false}{true}ifelse}
+ {true}ifelse
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+  get dup xcheck
+    {currentdict systemdict begin begin exec end end}
+    {TrueDict begin /bander load cvlit exch TrueState render end}
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+  1 index /Encoding get exch get
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+FontName currentdict end definefont pop
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+%%Title: STIXGeneral-Italic
+%%Copyright: Copyright (c) 2001-2010 by the STI Pub Companies, consisting of the American Chemical Society, the American Institute of Physics, the American Mathematical Society, the American Physical Society, Elsevier, Inc., and The Institute of Electrical and Electronic Engineers, Inc. Portions copyright (c) 1998-2003 by MicroPress, Inc. Portions copyright (c) 1990 by Elsevier, Inc. All rights reserved.
+%%Creator: Converted from TrueType to type 42 by PPR
+15 dict begin
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+    <use xlink:href="#Cmr10-41"/>
+    <use xlink:href="#Cmr10-42" transform="translate(75 0)"/>
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+    <use xlink:href="#Cmr10-46" transform="translate(362.353516 0)"/>
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+    <use xlink:href="#Cmr10-48" transform="translate(505.957031 0)"/>
+    <use xlink:href="#Cmr10-49" transform="translate(580.957031 0)"/>
+    <use xlink:href="#Cmr10-4a" transform="translate(617.041016 0)"/>
+    <use xlink:href="#Cmr10-4b" transform="translate(668.359375 0)"/>
+    <use xlink:href="#Cmr10-4c" transform="translate(746.044922 0)"/>
+    <use xlink:href="#Cmr10-4d" transform="translate(808.544922 0)"/>
+    <use xlink:href="#Cmr10-4e" transform="translate(900.146484 0)"/>
+    <use xlink:href="#Cmr10-4f" transform="translate(975.146484 0)"/>
+    <use xlink:href="#Cmr10-50" transform="translate(1052.832031 0)"/>
+    <use xlink:href="#Cmr10-51" transform="translate(1120.849609 0)"/>
+    <use xlink:href="#Cmr10-52" transform="translate(1198.535156 0)"/>
+    <use xlink:href="#Cmr10-53" transform="translate(1272.119141 0)"/>
+    <use xlink:href="#Cmr10-54" transform="translate(1327.636719 0)"/>
+    <use xlink:href="#Cmr10-55" transform="translate(1399.853516 0)"/>
+    <use xlink:href="#Cmr10-56" transform="translate(1474.853516 0)"/>
+    <use xlink:href="#Cmr10-57" transform="translate(1549.853516 0)"/>
+    <use xlink:href="#Cmr10-58" transform="translate(1652.539062 0)"/>
+    <use xlink:href="#Cmr10-59" transform="translate(1727.539062 0)"/>
+    <use xlink:href="#Cmr10-5a" transform="translate(1802.539062 0)"/>
+    <use xlink:href="#Cmr10-20" transform="translate(1863.623047 0)"/>
+    <use xlink:href="#Cmr10-61" transform="translate(1896.923828 0)"/>
+    <use xlink:href="#Cmr10-62" transform="translate(1946.923828 0)"/>
+    <use xlink:href="#Cmr10-63" transform="translate(2002.441406 0)"/>
+    <use xlink:href="#Cmr10-64" transform="translate(2046.826172 0)"/>
+    <use xlink:href="#Cmr10-65" transform="translate(2102.34375 0)"/>
+    <use xlink:href="#Cmr10-66" transform="translate(2146.728516 0)"/>
+    <use xlink:href="#Cmr10-67" transform="translate(2177.246094 0)"/>
+    <use xlink:href="#Cmr10-68" transform="translate(2227.246094 0)"/>
+    <use xlink:href="#Cmr10-69" transform="translate(2282.763672 0)"/>
+    <use xlink:href="#Cmr10-6a" transform="translate(2310.449219 0)"/>
+    <use xlink:href="#Cmr10-6b" transform="translate(2340.966797 0)"/>
+    <use xlink:href="#Cmr10-6c" transform="translate(2393.652344 0)"/>
+    <use xlink:href="#Cmr10-6d" transform="translate(2421.337891 0)"/>
+    <use xlink:href="#Cmr10-6e" transform="translate(2504.638672 0)"/>
+    <use xlink:href="#Cmr10-6f" transform="translate(2560.15625 0)"/>
+    <use xlink:href="#Cmr10-70" transform="translate(2610.15625 0)"/>
+    <use xlink:href="#Cmr10-71" transform="translate(2665.673828 0)"/>
+    <use xlink:href="#Cmr10-72" transform="translate(2718.359375 0)"/>
+    <use xlink:href="#Cmr10-73" transform="translate(2757.470703 0)"/>
+    <use xlink:href="#Cmr10-74" transform="translate(2796.875 0)"/>
+    <use xlink:href="#Cmr10-75" transform="translate(2835.693359 0)"/>
+    <use xlink:href="#Cmr10-76" transform="translate(2891.210938 0)"/>
+    <use xlink:href="#Cmr10-77" transform="translate(2943.896484 0)"/>
+    <use xlink:href="#Cmr10-78" transform="translate(3016.113281 0)"/>
+    <use xlink:href="#Cmr10-79" transform="translate(3068.798828 0)"/>
+    <use xlink:href="#Cmr10-7a" transform="translate(3121.484375 0)"/>
+   </g>
+   <!-- 0123456789 !"#$%&amp;'()*+,-./:;&lt;=&gt;?@[\]^_`{|}~ -->
+   <g transform="translate(122.355 81.542) scale(0.16 -0.16)">
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+    <use xlink:href="#Cmr10-30"/>
+    <use xlink:href="#Cmr10-31" transform="translate(50 0)"/>
+    <use xlink:href="#Cmr10-32" transform="translate(100 0)"/>
+    <use xlink:href="#Cmr10-33" transform="translate(150 0)"/>
+    <use xlink:href="#Cmr10-34" transform="translate(200 0)"/>
+    <use xlink:href="#Cmr10-35" transform="translate(250 0)"/>
+    <use xlink:href="#Cmr10-36" transform="translate(300 0)"/>
+    <use xlink:href="#Cmr10-37" transform="translate(350 0)"/>
+    <use xlink:href="#Cmr10-38" transform="translate(400 0)"/>
+    <use xlink:href="#Cmr10-39" transform="translate(450 0)"/>
+    <use xlink:href="#Cmr10-20" transform="translate(500 0)"/>
+    <use xlink:href="#Cmr10-21" transform="translate(533.300781 0)"/>
+    <use xlink:href="#Cmr10-22" transform="translate(560.986328 0)"/>
+    <use xlink:href="#Cmr10-23" transform="translate(610.986328 0)"/>
+    <use xlink:href="#Cmr10-24" transform="translate(694.287109 0)"/>
+    <use xlink:href="#Cmr10-25" transform="translate(744.287109 0)"/>
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+    <use xlink:href="#Cmr10-27" transform="translate(905.273438 0)"/>
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+    <use xlink:href="#Cmr10-29" transform="translate(971.777344 0)"/>
+    <use xlink:href="#Cmr10-2a" transform="translate(1010.595703 0)"/>
+    <use xlink:href="#Cmr10-2b" transform="translate(1060.595703 0)"/>
+    <use xlink:href="#Cmr10-2c" transform="translate(1138.28125 0)"/>
+    <use xlink:href="#Cmr10-2d" transform="translate(1165.966797 0)"/>
+    <use xlink:href="#Cmr10-2e" transform="translate(1199.267578 0)"/>
+    <use xlink:href="#Cmr10-2f" transform="translate(1226.953125 0)"/>
+    <use xlink:href="#Cmr10-3a" transform="translate(1276.953125 0)"/>
+    <use xlink:href="#Cmr10-3b" transform="translate(1304.638672 0)"/>
+    <use xlink:href="#Cmr10-3c" transform="translate(1332.324219 0)"/>
+    <use xlink:href="#Cmr10-3d" transform="translate(1360.009766 0)"/>
+    <use xlink:href="#Cmr10-3e" transform="translate(1437.695312 0)"/>
+    <use xlink:href="#Cmr10-3f" transform="translate(1484.912109 0)"/>
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+    <use xlink:href="#Cmr10-5f" transform="translate(1765.185547 0)"/>
+    <use xlink:href="#Cmr10-60" transform="translate(1792.871094 0)"/>
+    <use xlink:href="#Cmr10-7b" transform="translate(1820.556641 0)"/>
+    <use xlink:href="#Cmr10-7c" transform="translate(1870.556641 0)"/>
+    <use xlink:href="#Cmr10-7d" transform="translate(1970.556641 0)"/>
+    <use xlink:href="#Cmr10-7e" transform="translate(2020.556641 0)"/>
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+   <!-- and accented characters -->
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+    <use xlink:href="#Cmr10-65" transform="translate(471.826172 0)"/>
+    <use xlink:href="#Cmr10-64" transform="translate(516.210938 0)"/>
+    <use xlink:href="#Cmr10-20" transform="translate(571.728516 0)"/>
+    <use xlink:href="#Cmr10-63" transform="translate(605.029297 0)"/>
+    <use xlink:href="#Cmr10-68" transform="translate(649.414062 0)"/>
+    <use xlink:href="#Cmr10-61" transform="translate(704.931641 0)"/>
+    <use xlink:href="#Cmr10-72" transform="translate(754.931641 0)"/>
+    <use xlink:href="#Cmr10-61" transform="translate(794.042969 0)"/>
+    <use xlink:href="#Cmr10-63" transform="translate(844.042969 0)"/>
+    <use xlink:href="#Cmr10-74" transform="translate(888.427734 0)"/>
+    <use xlink:href="#Cmr10-65" transform="translate(927.246094 0)"/>
+    <use xlink:href="#Cmr10-72" transform="translate(971.630859 0)"/>
+    <use xlink:href="#Cmr10-73" transform="translate(1010.742188 0)"/>
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" 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" 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" 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cl7mKv/bt50cswQzZNX5jYdSCWc0WxwHsUgyBj4TmX9zWsTu1VMcc66A2uHJ2dm/tZPIAu8TndLZhk1zvqdnjydv89pnILT29Sz3U1kfsgDLgwX4469HxXOQPJ+M4GfEjr7MY2G69uD/bke1a0LEXCOLKFn/vosrWLpMzuMN3JrJs+wDKgCM6Rwc2h7g2n3QuO55+qln2m7BvPz6Qtr+iYHIWqk+o7HcOQdnUS0/8aFEkfKRf07EdQvSL5bLOWbc7jp6/l+426IInfrv+rieuQtIqBT9c7+8Ir8ZQnys4CzTXh8v9D9afqft+8bsQJ6t04jVuv5Zitq8yOkrzx15HGf52ZYz6+xXyTkYFX6tD362gnY8tS9/EltOJj8QOGYV5GFlkz9nGvKsuaLI9RpZd+/bLzsRhrWhyONltdGQ6aIK+A9swiSfyaeTyrb09f4xk9X3L5EBQ7gZGF2QCvbLtViCLjpWIzQVMtQcL9kf+bmBQArON2wdBIkuDbU2HzoVw7td2mPasn8nLYFZrYzOROFm/W9FryB+PySDK3ptcQThKJCQx2B3ONsZmAz/Sg/jeurJsbKqykD/tDIMrec+i9EQfSrqrGwxIXtMxbwyQXOxapAxXt9svICdWTPry1PCc3cTPZZIvOoqVLrbcr/c/RrajqwXEat8O8nS65X1RsJ/KQf8WSyZTxGRxFeS6O7xSn4f2GsdKQbnSp6HcGAMmbFk+Am7If/tDbVY6eq55v6Rfgl2LPRq65OyuJD4CczsSNS/9zoe+wEe7oKjcSTRD+hf4kJ4o05f5kQ9xhXXgN7r2D7RzGWPQM+qj6iaujZaHXPxEhW3hsp/0ppFZQICLFU/yNADRhd9sbxiYm+1LcfEkVwnOsD8EzuW2pYFK3sh4ObkYS9zuWZDRNH6kc5Wr88nLgnGjNjPsJniQxIF1gf2E72XY+vAvvJUM+m0LSCLwCCqQ39TcBQEafiV2JeB0B2KDOUw25OX+AH4GwDEA39rNypvQFRdOJPGPJ49r335KQ5cTPfJ8clMVdgTl5KzvQnAmvMtfZ7eyGOQKxxDZ06bDYvVVfYJ2RvYPmRwnDXwdrIo3C/2Qf/7q5kS1/Q4bTtLOF+QFOy3XRhsQC1jDAIvLPsgCnuW7dhIeaUekNwZpv7PNEwvEBufKHH5cTDAVNPuOL9ylvOV84sAv3HEyCRKFbI+1J/EMYQ/pEX1layXBDNk3pj7sxejXtX/8J97i0KBjaNECznYJ2EfwBAXq0eTW9itPpZ2AorFyGUmXkxLruS83aGD1SYcmi25gPwugzxymyf2OQZNcaTcDcNB5uZkiC2jO91FIfLggZmTKgRjZJg9kro0kCZ3+mV+2E2brMprX0UNL0D9wbVlb/tNYj8knizCByPkp31kcdt3uJvs6rPCFF0wueqfkAryykSURlHiAfknWlnH9hOMun0f2j2PngjXOC/3tGannFrLjGQAsuBs7mB9gYj7h4s6esCuBJl6Ekb/IZ9QvKRbC8/7IEYnSAcEg83fKg74//4n61jxYWPtR4lV6yfywPike47MVTIPxZ2sg3fXHcwT3zQS2iJ0K3diO+k2RQX+/brZvbB+AJCGfzh0WvJN42fO7Avekr8o6aUl7vqzxOVtW9uwXEuQ3kigkLsav2M92MKauaZ4nr/3jF2A47eBJ6U1bDzKeX1r4zhd/Gu88sdmJ6HCRQBEGgXZgDpJ0mqCKCSPqSzmehicntffBxjEIMDAoBTvHAcbN+Ux2c2EbDiMswL54PfrhY2F377DlwRq1U/cxSl4oobOdFEt+Zk1Yf+kY6mCoWGYHom0UdyxJ4oFBGNh3CcME+Ti5GDxCj33RtVn9kdi3/MH5DPdFv+qapunyOmT2j//8S5kxET0JHbd60JSN4YsqSj7RUx57wkOJiAcGthsoBbK7gVjgY22JEkUY0Cy+AAvEjmiN4OaCI2wHf98TJsA0wbBASNoSjUEwz7yNHH/atuI6wjQio+aM0LP2ozUd2Bxv3Gh8r3YhvxPISts6KOu+s8lBzlu/ewmTCUxSgo8+DGB8aJ/LuoCf8WGC4UktL191TdN0e+2faOcSKLonlbc3FFBOIGbRoiSAgyMJLIMHTZQIUBClizEKqDAYrSS+JJB2aApT84k+C7ZjkLFsJAxAq4w/Dq54PrhgKGTQOF+YOkF6hH3hk0iciCAvfFBAbQd9CWhurVRkXGBvYIiOz8aADyl4zMGRlijbJ3fdjmlkB0wo8Yt4tGPJdinFnYdbR4WdTZVv/Ud8Yusq87q8QIge+8cvu3OxL3GQdj24+YnNJvLLrqe96c3AB2nApl7IQdAsJgft95JPAyqhlfrvxNfov0ze0S47btKhuUEDEkk4qn5jLp247ycb26fxLm0aH9qe6wMny3wF/pDcU+ND68gP8W3bOIbvEzfOIGE4vRnw8YtzqyfHiCaCLJGg4LwZvqBJW9B+lw8TBddJ9U2Z1zXN817X/vnzH8yBCuSJDk4kS6vIDDD5joLNnmOEycDQsvpZDAJe9an7dUMBLKe578xt0Hn7dC4hTeuWEojtU0gjAUgJ2X5p1lFfl2mjnnSIrPsPlmBfor5Fa6STzGo2LA0GAbgewFiCecGTS+DTyhA5PA52HH3gfvm4ksjl0yePs40ysbzrsq38JX2QGKgPaQskHqbf5Vva6jEZ4V9lXtc0TT+u/fM//zgiVhYGbECqTlBl1NIKiWKMYvAbhWBVqBuj5f/BrRKsVpIKStjKhtZxY6LkAtrp39DOf/yEg30n5OtjkyQqaA/QqC+EF9Pcn0x3ScLv4FsPFZW59G6Dk0M+D35DPnt4CX2VEwdaE8GOVmCw81y+T7H4YXI5Y9Ol5z/JBbRN86UvlJykP6o/OE3xJ26/1hfleTdRBeVpxoUmF80bQ+5cxIUXqQUmDKLEwnSKwWYMH+AqiSdNKELJviyMbZEFcidIEbv6x1kvmxfvXU8TSvJECeh2YSsaeGCwSQrOgbe9+vzIx1DLWyy6Da15Bf0TTMr4QvJr0OBTPvN/1Nl8M22JExWxw/wW17EygY7J3hWH5RSagWz07gMlTRBU4U6AlKec+zoo08QjAzbbdUyDPekDKju5bJpYXIzlawpd+w6Si7pgoDGOSpMt2M0IP+VFDHWiAOjx9AJEMXEleOHCPupo8ss6SSg2UCsZFRyMDEg6OOjjJ9t2Mol4rs+T+RLg4O1gtq1vbLs+17G8xgWwBXh7CRE9XWe8QpIXPI2xMFbkAeSUo3OfYawnDG3z4uG/sXXsHLTsSVf251EderyvJAKDttC/4CNZtAthdjuJoyZ7ydi2apqWu67989ffUIAaiQIMXCQz5KGJd8fXGCzJVBdUNxkWkq3xzRcvm/imfvYZf/pztOH7DcoEfNwHJBmRRGWTX9U+10Uy3AeSCRfWRjBGurAPkU5FL+pTXA+DsvCDbUR9kvVpZWwiG2K+0wcVmzREmewaTpfyPcw0upukk7hBksa2ET0jd+pvhM/KLFl1bLRkPe+EbWTQte8//kKGDZKOVw1E2UJg2+KSruUXgx9bVJG/lFfjh8EAYrPJxfDQi3yXSHoyNGAksnHyyO1Ffm1wr7QjtTkKY+faAXjKVoafyFSCsbKT4IV47o1B+sARtR/ULSYY2A622S2cuke32E+QVZA3DwcTJKWj/yfqr2LQlokKxJgzCckkGPFleVvAY8uza8OOj+dL+qXzuvYfP21yAVkoWxhHnQT7E+TSAq0FQb8AewupGgwj2x2MajBJ8llPMEEdtC+rt4JUujBqYxPJYVnNpzqLSdW3h/Cknhgk379CH9gL8VQSNsW2oF9Zc2OoF9GIb33aIH8YgWsAvrRGSSE/BoLlKceC2JrD0Wl/Ajx8DcwS/2vKzZhjhwvli/e17z/+UOZbGxqIj2qSBsHJjRdA6GvYib+I6Qae+N1IHqhowrFl9yTk62nCQF+xRX1LMFtbrcDWsFXGAx5akD6uc39nvTGeSK/iV8kUHgDq/fyWq8xxVp7jvYa4TyUb8bP2gQCeJ4c8aF5dMON4AHcuScyZXD7HGcWCG2uqimUuzGtwofm8//jxRy0Cfdmgd9FhkHMBMCjThccCa9E2fWnO37vkQb2AEbUleIHfn2ix33Q7i75+awTiNKF2y0mw6/BW6lCm8qDiymN0FmN2jFmysTIuKGhWHgSPMkkaJax2rSuR+Iw/TTDnjiZLBEgnsFsK7FJuzWY/sXTtk/JcaftxiQGclnddr+RCL2T4RZfB3DruPYEXJlBXZ/P0O5hCv87Xiq2VyRnb8/V7AfmRhNIoQx57IJmAL445rgXwFe09AbR9VGW+LOnPh8Ylw0oSk69XXyabcnEnsrzGXbmi3w/6yu/M5KtYTTm1633opcVygufvP3abXNDkZ4avBdzuUJAAWuXkSyU+CT39js9l/CS5nOWFyfV/P7m8cHf9j80GkaF3CAuB/yt4qL6iw5JDhOVLk/6NtuTzthDEzVqptsUltinKLQwPlKHvKo4Ve0w+8/OijfHucz+dz2v/sf++BIWivezgvWhgoMJEUxhw+kK3WQZ22liuWQttVOwon8mAp/quPIb+4uT+Yo8Dycsf5q0nklKfTs9TdZpAtO0xQCJ6IJH4vtF+s/VTwR720wx4D42T9/lFiaUQGC22StnhZ/gaSTviyV3b8hgk+rFe4VjetTWIJ2QNsmv/+fmbMltPWduDE9p+VhjKFwI1TDQdTPUvPl7ll05YdoNfTDJXvnvpiA5qLW64gC58VH/zuu2F7fQLwWxDPFGnyUfrjDHE7xEq/rWPauANsUxTr+ggrGFCifTW53DoZ1bbZOomSYUBLko4k+O+l6gD2YJvr8OSTqDfGutRewgUNmn/BHM1oo/hkot0ZK/kmIV8QthJCGmwLSWwNRyQv8knqY7dvIwGFtq3cuxTzTHALubSdXX5pD8jHTBpwS7BLYzopelGdEDfpO0AdSrjnrSJHbCgInstfGSx2qfyDA/F1wha1YDVC15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    <!-- $W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} \int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$ -->
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diff --git a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_cm_47.svg b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_cm_47.svg
index f7bab1d0c451..b56d1541d6e2 100644
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diff --git a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_19.pdf b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_19.pdf
index b6da5395983b..e96021bab2a0 100644
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diff --git a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_21.pdf b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_21.pdf
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diff --git a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.pdf b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.pdf
index 3d1145c64d0e..4b373e9ac830 100644
Binary files a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.pdf and b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.pdf differ
diff --git a/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.png b/lib/matplotlib/tests/baseline_images/test_mathtext/mathtext_stixsans_39.png
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vC0C/6Ou+DYzrzQb43clgNE9SAcei7qqvAbgx7zkgSO6X4HmIPmNb+h+AdH3Oz/6XGoSD5FeHvVZwW6ccxqNhPQXhUgL+52KiTp3gK43wOlUaYZfY5RF8ruoxVzrgFfrmjrZbJ6w3rOaQY0HkdkNs33fKQ8b3bWL+fdUDyAPn5w431CUO9CDAum2QEG4Ea0sd5IELq744ZrIdqYTjVXnmH8UsbVM5241yN77ACXpHqP/q7t/UKVfq3KuZu8l2mPmvbTR/ApjulHK2Lm7ung3ztQfHThww9Qsnpe5wBUClC7Uz3hyKAA3bfcY6EKAEXHlTDT4P7gc3tR6u9Nxf//mJHDwXmqM/AZ3qX1ijbrD1Fxz45hnfOMPyvl9LW1Q5200agGDgZWBK2s1gFkB15WgnoHp9hCYCT8+zybk48Mntv3cprcCn6nKHm89hWSfcrQJpmrNVzlaV23pf4LeFrfbTvXKoayY+W1JuN3K7pX9VOdtNYthmDlS71scB+k+O1gCqf1qYz9I9m5l71As+sfwKzN6dQloD9xG4tjFfUWeun37UyzjeYxXg19yXi09HmjnYRc42dcsannhicI6y75tEAdSJaz1czCYc9TnWf38D8NIzVDnbjbpOBVBZ7wM3odaw7gPNPgFccLnuofnoo37+Km3QPw1j4PDsSh3wyWGOjgk0B1ViXQ6m5FLbzNyjVAfWLdyyc7o2IRZiQCyCMt8sc4OsnPLK0YY5QR/ZbTG+crqlbSpnu1FXrtbM4p+yYbd7thnglABuuv0fSDfgHHosMwfFEMuN49ubaB/yrrwvTIBctB8gH23uO9xHqAkl75aBKJQeoMecz/7C8boAXiNfayZyn/HkMWL1P1GDf8oG+oxzD+db+ef0H8wXX3DgJxXwX+p0S89W5Ww3acCCwMgO0zlNbI91Zg7CdhWrt7fYNtSNNknawMwG7KD9o07kRAcZfCy7aB8AZBAn1GVPIfj4EozoTDlvu2rfneBheZ3B9o6YMZZzr4evS3O47ILHOAksW+b08/alvSpnu0kZbN3lNZQ5V2vcr0XneFhwoZyjVXng8dV+q3GtnwBE/Cxna7MungAgLWLYnQBlZrnDFaDm9g3mj9/sZROohzVYxjDgCmGc46D2g7f+La+5nKcmDjN4TRfG7T8TeIVXbGZ0tNie3Wx/UmH0hTp2umGg0g5VznanJJDMxoEKdewaFaBlTIQw9cd/eIPKxcTXTt2JoPky2i6asouTgXOOow/o/MaXdrj6Lj/FBtd60Btej3rYLwDrMffgJr1THftaxqb5DMhOCLq8MOR9/WY0moOOPU8UCtYZRJv7KO1TOdud4hyrmQckgpK+NvEwm2+XCcD28uCAjcsInA7QykkLFwrlac4W25pvO4E9geS2E+3kAtTY1tWdedezmx+vVzkQJk8lnLBDx8rfznUw0AQYaRe5sj5H+0MnimbzC4Twz4wPVwr7lB0tnVjH/oDfAfvvDOYc7mz3qC/tVOVsN8k5SAeeFg4ODzUz9zNhcJqZBC2MGRytxbaWgA9DINh54wL4Fm2N2s5xGrWh8qTMK/vGLwDR+GgOvLO9b4vw5hRC9t0JLvZwvM236W704DKIa7r8MIrBOyh1usLp+4VCwItUznajJBDFenpzLH1iwQMuz/dGh5mlMdxTAq5OuGXMwV6eBOgZXzOTqQtL2kqHK8ooR2vcFoDl0gkOcLAPAXbogickVW65uSyDGyDwsUnHbWb+qQR0wZjvbfNnMCcwTwRHd6p/qG0vV08olLaqcrbb1PwvMQFyuEMEpYKyzfXs0j/kSwMEPbyu3O8jjHetRv3x1yb87THcByR3Ew37u/VYrsqyccbjXKKlgx+eJKB6/Jxk/heA6vYDOVOzmSc9IT1OVMHBRqfqnn5wFwD+akC61xGriarr/Vfao3K2O6VcZT9A1bOzhsBT+d7EOQZQT/h5p7h2tLOPz/c9PigHeI6jTwo6vYBOEMce4/dxzHxbe/Q3V3aR06VLd+dYz22MTxkIx6vG7vvoAmQS5PyF4NR/zBuAHVJLnKs92419jXX09Ih7oFi1K21T5Ww3KkIUDvrzv+lObVSsUg7hkk/AbgIS+1872gDVEaMZ/57wFEYco4Pb/NhzM6PDzVxXBG+EcZbTle5YphEov5qOfeFgRyg/Rv9ZyC8VN++We8zDreNkUTfK+s8lFBdgX6lythsV0wXXIEUHmoJ6tI2udOWIr/oqR6udN6UdfgjueML5QV/cwQS18Z0FuN63g4Co+55zCRkgfWJYAT8/CVD+dbhLyC2PwXMH690pvHbdkr7qhNs33J0YS7v0v7p82KMJEijwR3Bys0s4Q77cRof4E7j9Q9+peJmvL/3vuLDkddu/7ItiMPpy7VhVmZrHwdUIyhHg2gEPULpYP+hrBNkf5WOTk0Bpm8rZbhLDVn8jl3KSpuGYxHJ1oa13pbcc7aiDb7US/XAebtxbDrd56Ns5V7fuy2eZBnsGynBSaDRXB0iLl/kQy8eDbRBpA+53Z65j8dz/fv3s2906Qtlt5LUb7jcQYcdYma79qqcRNioA0BZAxXXVV6wHsCaxDcbn2PoFBPpeBZsxxgEbiwRUH7HyHdQX8stv/+v5F463zXkt+6m0wiHAeJXv7Y0bxVIwVk8LqFiY01VzN5jrVbtytL+mukG2SRJ8vYIgyE4xQFSB18WiS8yrWDA/CSEqD2+J2WNMd6K+FSvPc/qT/t+mIDSoZCyGGXcR0FPfGiZjdfe5gGwwkgmww8mGYxm3EbFkuzNW2D0F312qNMImoZuVTlZeup9sYviy6zxETIzB32sAsPx5bHCYMrZZSDlk+V+3L5rfR0bg7fMN6YAkjdAwVvLSg/k5pWmFE0IxVUDzHue46MKX80aY4zz5pQqE+YAs/IxUmw5QOAHrlEOj9nP7SntUaYSNus69znKVE6Wj15WPRXawODYBlmO42JmjdbEIIARNHw/FzpvSBir2LXeryqL7DLHDl8awO4U4yiWLsrkLL2KTa36Avfl6O9tQv/in4zkNIQB+K21QgH2FytluVArb/vmTehNgFS5TAjLE5CcUVL43iePm1PQJw5I+RvUI61GxSDW4cv/Vis5dQ5+z6aRhX+ZL/B6Tzgtjm9DFHjPc3wMNwK32TzvH7kA+KEaHNjtTfD6Xt3mUkxM2SgmVtqhytpvkwSm+L5ZBe1Vv9OkA25fjZTi2fajFAw9jyziN6h9x5I0wHEv9bvFcuIr6XKcR6BJeXKIvAd6nLe/Ge3fp/lZZ7+wuwalPXz/movuuhR4368MnCZ5b12HmvkKR11UfuV7aqXK2mxTg2D+Vs+yfBx2Art+FY3XxezvKi0oHy59Xjja66XScsz6NMfbVBJJ0puzqTK+H12/RGcIlPr6yi+H7SWNsCzjm6YgbxLMIT6O4fb0ZnPRo7uoEwX+SZwX2MRD1wXTJ4cvGNoibq6U9qpztbvVfclNA7Z/X6YFlfwlwBiB9GkABIZjNy+BTjTPq+cZXvFRf7So3r3Rdf3pdXbYn8MLFkDcVMBt11AYDtdmGgc9/IWL0wZgq/cHbpmKA4k28crmvVjnbzUoBljrL+ZnD98a6GDPtcwv46gTAj6UtHK5B+6w/g1v1d+sJmNHNKhdtE3bjKYVez274WLRf9U/m/Vi9OgERXPkFBHTXfT+O+cE8FNRVTIP10jZVznaTnAvM3OUCaiPIys5dWT36vJwLfqowCpSj/sLhrsB7rns9cR0d4lUfBTkELR4vmdPtOkQ8dNMt2ScM+wb7/mrM4HLJfZej/TWVs90kDagceGnbzA3eXQe3+Sj7C5e8XIcxD4sOebVu5p3pVf1frKfu9MjWOfc7AZjCjdcV7Lg9QjdLX2SQFk43APhOX7Ve2qbK2e7WDtd54/MRtMUxnv6JDvUfwfhj/dTdLiCWOE8FscvtuQX1fF1DM1n/2/1RDvflKme7WX8LLuny/sp1Xrf/K0fKoP1Lh3zaR3HCuEhDuLwlXGqrS28AyaPoKhdMOVB0u5yjvXlCmaJ1AVCfSri5nbDO+/X+uphf6WmqnO1G/ZM7tRyafxfzHpjvz+vnoFUHNB/rEX7/CDMF2r90nuFLaH7glF0snDeB9k6smHulbQ6xaL1c7a+onO1GSeClbpFdLXyaAm+jMTB2Aj8VezGvx+qVw12MRQfxJfCXIF0DYvn2FcLKYPku2NwTBgzJRlNZzLO3X9XdnRf2X7V1OwXWGb4jZmmXKme7WZfpg/M/hmuEon9RwH9ql3qM/7gOL9EJngS8tcNdQz2dkxhn9Ryodr+ib4DZjOVuel2NK53mrAuX8abaC/i5KZFrXo17lZs9Wt526YjvrJeepXK2WyXeFDv/0zlQg7LFZTq5TR+XP33fJbR/6nBdDDhIL521BvyAjsU6vU5/SkakH3Tdud4BTHlYn6OF9b4t6Jj7Pmo0J55jnxPCtQvniHNi0I/2CYwPDDi3xe/AxPEWY7ercrYblTlCt8/JailXKturPsG1xnE9aK9PBqvtUKDNnayP20GE2xPiEli9fuLItKscVYdvO7kE7vNREFyic7kYKrwZNqG3jEt9GdgejniCswHdQ9WXo/11lbPdKA8n7WQ17NgJYhv+AnB0quRiA0wpfYDxVZzxHz3e5eaEbW842r4uYs460ZbKdR2sAwCnE11970GTYMQUgLtRZrRsvu9ybjgG1nVX6xwwtBXbIXOvw4Un9X1j2OGWtqpytpslc7O4jBCitqGfAK9BW3a9d9pG0PK8E4drCu62drSjgA5scaJJ27qq+Iyvu+we8PJtTbR1oMNm4sZaAJ2ZBSe7embXQRfmQyA/svwrtHXwVuOPKWQutyD7KlUaYaMUYMfiBcBmG3ayDFGC3WgTL9dDP4yHICJoz7b83bOoheMOLs5kXWxDl+Y3IBEdZOx36Ta7gwQIq8vuY7TNQR+/rAbbUj/lmI/eDE9CF9BFKccu2xZ0d6vSCNtEr8mepWlOcwnOXiec5GhDcE3HStIAHS7pWPHbvGS6wsxUSkLFVDlZDdq7aYQIMvcUQnbJjW37PBm4YSy/HuoO389MLF/Bl9IJPtcb5z9dN7nxvshAX11tlJ6ucrab5A8872592sBD2Vx7qnM/q+TmFqw7qMp5iP7C1cYxWl6XgpbmKA50V4dOWyiAFv+abZh+DugBtHPuTgSmg+uOuXwcVA4xxyYKCIabZGGZ5hH+hA6BHMfO3DDWYczSVpWz3SSGHC7/c10oh0tO199f9vsvfWkyRuZwf1SHc4J2V2OFObqTTXSV5j57nXDLw90mjvXAlICZuwGFMDa/HR5Sa2c+5xEfV1N13tlqx3vw/DBPq+oM6pTDLW1V3SB7hTJQwvooE20fxZQmEA50AEo41Wz8OF6jBr4uuF+u63NV44UDG53Xom6ZRoBPccNqGuRYJ+OwY8W5wSV9XhfbmRH8CIQKjJeO99wvYwrLN9my5TvrpWepnO1mRch5CHggEiCgXsLRzLnX0N+1Fe4XndVVbHRG9uinc7Y4zl1HG7fBjTNGxjkIB4zjG7lFM3e5794265fjo47mKSCIgDuobgU3dtejyeHnzo5XzZNTCv77FgTkYc5+J6EKtrtUOdtN8sDMAdsLYl3y3GvangdfgPJosj/DUG3MgAwOJ0Hr4+ffc8BPDuCQixtQMlbsjy6zb5Z7/vbcnrHJuG3OAeOTCTO2dKU4LQXGsN5c+/nIVwOQ+nV3BbL8Y4/+pITld/Zj6Xn63/GndvIOLd2pRXcXgDraMGTp4FmAzYO0f6JzjHCVThzW1xD3B7WOsXC0FAPBzu0Qpi4uAfNR5qHJThLv7vflse8cyPJL9fzJigxq3tX6deivgG/QJ7hdiLUEMcG/YLtdlbPdrAivWRGcGjvIpOwSwu5nmuRZaQ6+TLtanzqAJgxRN0dycDwv8+NFB4ZTyB2bc8ADptDuhNhkCwFYxWq0vX1TGI7i0v7S8RrMMQW6PwFgm4PaWGhDcdWVRWjD7UrPVOVsNytFgSV7AAAgAElEQVQFZF+WwGM319tl6QS+o98X77pSWD4EeAjAfY4OcKMiyyHfd7Ru7rwtCszgDkd79yhYDlycd4DcWOxzhCcJQjsNNvWNZKt5e2eOsIZ5JICfA0EbLMfzy1gpuL5KlbPdpAAiX3gLwo+PC8cKMVz78HP9G4cbFfK54HYPhgw5x0fFHdDydkUgxPbZm2AEQQk4sW8YaGbmQgmoLR3vAuYYU/JPpS8OmLdst3DLfVtT51vaoXK2mxTg1ZcVRM+FCA0GKX2GuuStNQE1dzJYwFK2H7GEOw4OfOF6F3HinPRztqlrNQAX3xAcN6cI7lA+y+ZY/uYZzQmfcaXtx05h+3EZAO36ErjHF9UYtW9i3AyqQPU4z9IOVc52sxiQ6Bg1wLBvdLXhwJDxGJai7yWQ12Oh9Ld2/Wys2NePrSGF8rBwcRuOBfu0YQNqL8rd5ijHbH5fBDeL/YQDPVYpgJ+UZymGcrW/qnK2m6XdmAkAWVr3WM7BG4CVQCzWi74EaQm54Ipo+zK49mXp7nH79CNfMheKfTN3a+bgEv50T/Nxhgsnp4pXAY8+ykk2x7o5h9WjVh2afILs7lwA1syO1LEapBgEhBWcS9tVOduN0o7z/DxiWeibAHkutyTNkIHF950F+hlW9VRCACNChEDByrfZg9b1gTZqjuFSuPWVBbChjdym5FVWXE2fsiDHGq4cCZD4c57dIiDd9pluY5YAGNs0GNe1KeDuVjnbjVpdIk9AKXfJbfHAzeHpygJw2GFCmYR6BtTsRQPhOsVbZ66+x5AQXo+j5jjq0akecT+ia5WX8SoOtWX3qx1s3Ce87Jw1pSaiK4/j41xDGz4hrNqk66VnqXK2m5WBlMvWIF31efRbgf2xnEEVlzWw1dg+jgYWx45jN9rAeDLIgJ66Uo5FLjaLjTAKTzCo7SEAqqc/5ocA7aGh68ek7brjcHF56XYLsq9WOdvNunZqqu2Eo3KmayecA1PWU+y43ONkLjWbn3qCQQE3aUvLy+dsxdhuOThUSxw6PnqlIC+uFHpBU/OLcxpx0BGHk2YC0IsUQRj7DpDlcmmHKme7Uddu84f15ALX0LoTs4XC/HIXm17B21++6vGV01y4zst5+LZ5muFcblyGCxpCct/xs65cH64OhLO8etPrXHb7huPejLGch1wvPUvlbDfqb8C3hoRqm8W9ygXj5W8OzNSlLpbvutTtjvanbcVzqt5pRjApd/yT+vttaR63XetfwPagqoOWue6n68+M1defGWvHPFvlbLfrn5zsrbb3IafbPmNeFymIv64nEIRLZdQVKGPbuHy3HssvYJb+FYSfXM7/K1Dvtz0Os/afzeX2qMLlrqztVf0zY6lN+ddYof5JsSqN8CJlwLqq/0nbv4u1gNui/idt79b/vO19MD1zvvtitafU/22sXnxcLf9r/TNjKb3pvB/O9pvs/I55pnP+yaX1uv5nbXOHd6i27aL+Ipaf0zyAf17/g7aLG1L5fvu3er3sASbr26r+XiwT9XH5qv5O29Iu/c/+2NzXuGz2+K0+/rL+XWP1+s2xsgf4IzB/vpzWtztj6O85mB/ZAb8CXmxr3FaA9CcAd/MSz53eAaXfjrw+G/POie1ufVwWZU1t36y/crWX8dP60g55Z2t286i+Wf+usZSeHOtqMziEBOSFI2JQyJtdwbX2vvpAji7vXCaQz/Gy+YmyixtQfvle/bVL9W0N24b9q04ea0gdfwnE7AWLvwWzujq56pPXl3aobpBt1j0ni24Ryo+svR5Duq+LGH3M7Ncgewgfv6kqc3xhvAO2t4ltv+l+ZezUpTa3mLvQFahWUFVl0P/HIMWiCOx0HC5rvjzum4uxS09XPfq1WbmTRUcCbUT6YQlT0Ve/anrTwWaxMwd15EDgN5fc9qALFyD7d0er5puBe+1S5ZjZF71w/NvAxPFvgPnSyeIcLurDcmmH6mmETcov2aG8zYJbbleA2IEGjxfZ1sMHG4Q5osPG8vQbs2L7sW3pXzHA8Xlaa8d76WhX80oc62xLYGpxnHjYrIHt2t11u80vSEgTSFMHewvOar30LJWz3SQ+0KJLNfkqrRlB0yZktcPNoSXdlGuTONhm+Z/NcfFnwdr9UpzMoR/e6WpHq50mxs764vb58mu4GvVNAZiCOXfaPHbcPgTwCpgK5Lp/wfb1qpztZkkoDtCKNsHtrhwuHdT9ODl43AgY14bhjXODY0/mb5WDPBRYKP7KLR6LvksXB3MQffXdfeWGI0CXz9G6bVHwDY2p7t/6Rql67YRj7NIulbPdLAm9AEMjkBIo+sEcHK5f57/oGnKkrnwFMnWZHt2hTysI+B4ttu9xeqMUZIkrpfm59jCGz5smY7TVtq3ai/2SONYsD7t8eoBPjDC+2hcqL8x9cpBnDrf0bFXOdqOynKEErfpe2+BkLxyuAjYeQ87NwkEbygEWh2iPY7CzdX+LC8tNwgLbuwP+oLkvgKzmp9tn4LwArXOucVy/cOUqVQwNZHSh2qH7G3ZxkIU7vvXFNaVnqpztRsk8LLvaNhrGnCLejIIDOAIQ2jPojvVznNIhhrk3miOMfUDcDtPDg8Q7b2iXADfOXcwpmW/uaPGExC7z2sXivHU75Y5pvmLsCNTmykyWxb5cdu1+k5NcwXabKme7Wbx73aV9AO2jLDpZcp/UzqUVVD7VAfHsg8HQUAYgwhzF3/FywIeTwGP1rGQoBNdqo110jxG03E21vwYtdTPcbxF0d17ywL74MwjzdmOaaOfn8WMIu23w2x7nwRAu7VI5283S+dUWoaqcL4Oxkes7y0ZcBlb444PsfumAFPN2ADo89NDxmk0XejB0jxlj6VqPCQ95iZ/NmZ95veNoGwNGjB3AmbtdDVfhcO+kAGj+6ED1/JVLFWUqdSDTD6UdqpztRmV5WlzPyhnGMt5wsrrPTFG0uW69D0BXwtzc8YdPEIzxB9yb6BMdbHgKwZ0MFPjVJTrviwiLO6B1ErB2cA8uNp7EAhCvXGmAo8E4CQgFyOc2Y3u/bT4G7SfleEtb9L/jT+3oXXJwaP6gCjexxqW67xwu/R2szMPqMHJfBASGX+9n4jLZYJze7OBtggE6dHvKoo1CDx/OKx9Q57apzUHaYn4JcNhpSkcogLh8kiAB1T24XuSJsX2SAognixtQvgXsYsArVDnbFyh7U2xV5/KueFnunGxLnCz163VgxzLAo5ObTlWkBhjuB9bNdTwRuBMJuTDnLN0Ns2S/LByw18LR0rgurYCQCv0YtCb7XUJ44VT95ghwYh0BM54I9PzkemmbKmf7Ajn35fKc5vOWCMuxHuuC+1V5QMqJQnNoJ+oGpBlATThy2JYB/u4Q1XzBPTpQw4lFwfTuttx1rcs61W6u53nW5Jlido6N4Z/XyRt2OCcEKs9JxJZ1IfVQ0N2lytluVnZJjzlXMwKrrEuWIbADUBJbghDrXFrAvENdXfJjnWvnD96ZChEuXy5H57V8nTWJp+siaHk8mbMNwPMnK2wjHW72pACP7xwp1KXgVP1XdVBUkN2ucrabFdIE/eCUDtc8vPo6OEb33OxBMd3AueNlBzn7MiBbdNvJtnlQtzjnER4AecAYhts24R0BHOf46LrYHoJTAG3iEJc524VTdGkebgNwC+BF8MmYfHKIII3533w/yLFK21Q52xdo7eA6kESdu0w3ejoBAHYICPZg1G8AsgMa8rJGeVV8miF8OY50s2J7MaZB2qDxfglWa5n2oCH8cgYPBVqOu3z437dx8MZtJ1D6OMJpCgi6kwBvT5i2AOZoo8f3N2xxAwu6u1RphM1KnSDX3e3nHKRpp5v164ER0H25YScAvet3AhkBNPoCpLAfzgeAjKB2rnJUM1GarFtBeGwHDBmaO0gmYKKyVVogAnVWeSh7iLuT2VV+9Sdu1UG4uUU5RmmbKo2wWYc64HB5wA6O+r44wAgHOLnPCV+CgZlou7gxZgSjw1zb6bJbHPNoum2fD4JVvsyQtfX7z8+d43ggeZhdtYUxsW0zAmsCv3N51Xb8fJWLDU75J3CFOJdjYswE6KVtKme7SbedKtfxpSA70FGRON5RBvnWAG9wo5xqcPWwLFMP1Ja3m3KwIRWxcLcBrG497l8Xl9fphBfarkAbXOGEFaYMUocrxtYu1g/l56ohL13tVdpAnSwqjfASlbPdJL5klZf0DNNedyR9AzTFDaWQO511j7IZ1N2QwTrzN2Q4PfGYIxyo3ZkfYts5RdH7OggD9LP5ijn69Tjv9CZaAkgPWg+wkEpw0MJlirtyvAKmy74/gGsAabvRBvZV6fmqG2SbJV0Wu9oUaEkshJh0tuK7AjjWADgAD8dxLhio72BJ88ADGWEYTgDQjye1ONbTqwUFVgrk+94ALbdlIN5xuCFt03j3CPgy0H17P7Ucmge3T123Am5ph8rZblULv/Ru/QKYwwEfXAfrKhaDbQDIS+Zr0QWC5Z5PTTQYe5YdUBdhD7lYTGH0fWR+fYzn6nWdWxc56eA0aTyGnb/KuHKlicPluhWIoX/Isd79DGP5ugzmBdvXqnK2mySdVFpPoDwIfheglXULKHObfOx78UJ/Om7jr1gG2tUJ4QK0DrBzYQ1WDxyG/jJny/Uc7wq8C0irz3BTz6UH/Obfh3TSv7RF5Ww3SeZsw8HG9eZ++X3uNjlg0WmugEvBl+uY+2XA9u0bedY2Uw3L9RkrB/TN+eH+Des3wOrWYf9c5UpTJ4k/z6TPwpVezY9jXa3n4L4zn9IuVc52s9aO9sZd9jsgBajxJXsKzlvrHeRw0JqZu4l1F6SYYvjRunLK/sx07VhF+/RnoNMarl6C9j54fwzPq5td/Lnsu4rpFkpPVjnb3RquCdZTOHV4Mcyyde4v1i262kfZv61LKP/zGF5u3gdfeq9zsXN9DhF+DlfuN4PgFWizvKwY458/BTxXLn293biDSs9W5Ww3Ks3LZvVmA5hpfdcJuaUrNHK1Isa99IOYg8rRXjnl1XYbzXtspFq/umKAdQQkf17B7Cf9fuQgfwrru7FhjHT6F31L21TOdqMGPBlKXKbAxesY00SfJfzQuUCc4H6h/uLE4NIVZ4fL9MDZL6Q7xgabT1H0da7/wfpjah4o8UtrPEivHO4SiglE78S9k064BWeYS3DSBdtfU+VsXyC1i285swvguTaNHKSAsALcA7oCkEbte/+zn0tr2Ow/DvDeDscxEcdgXN6+u444k5hLTIdEkF463BW0Egd8UL+D4YbdRahHH7Gu+i0AyycF/4mDlp6tcrbbBAchH2yHaRcDwFJOWMJHXfYvHKsqW7eB+WHScwV3jMFzw8qwTdfP3Kr10I9hjv0QgBc5WQakzIcKaC3HkZCLDjV8JvAM80/ih34F25ercrY71WFyLj9coFfI0xKw7sQY/XrAE9oBQOhSGUDKlTJAEY4IdDoJGHSJJ4EEkHwDDOd3N63QwWU4jj9HwKbRfAlgCCKc74WTTR0spyAAcOpNselafwrMNZC5n/yymtIWlbPdKeQaH1hn2QAVAMzBgR+/Upf0Z7vD1SdOkqZ4x/kq4A94A6wj3OHAVn0CMM07+sWcLp2rWJeOVwAnONwbudMA2kbj9xPBqIeNbNDPFuNdpQP4RIHjZNAt2L5MlbN9kVLItbniy1rerpkL6OGM9QBC7NPMQw3cKrtAn5aIOVwzC8/hznYX+4DbCHe7Tiuo2KJN4zZJmdH+prk8Pmg9cbRcL6HGQDZqh4C2WJ67XIMTAm4Lfary0jaVs90p+EVOn0SgcgegXmbmgYgH19lwQBDKOX87y+BA5onaKidqANokvdGh3mGmHDHPgdIL6zmIdrzNhk1aTDVw7jVzuAKUylGyo3WAbDq2hyH1cxBN4Evlaq6uXznbX1flbDcrfYQKygMgGGajLzgX5YbPAo7n8qWcQ4W+Ls+KIIFACqjeJScQXT5x4CvSkwS3Ue6SysP+4Vgtxh7tmy+QgBaO1qUYmgsx9/UStOKk4GISaO+kOdI4PP/SLlUa4UVa5kZT8HbAxQPhR5CFMUI6wXiMpvvimMsUgoIlPfoV4Ejbddt5Y78FaOc0QrpBASmOyW7Sx3Tx3TTO+fKViLrJxvH98H5ZjHHniQX9xAPFLG1TpRF2ig4M99wrOpz+T9zkcpA03/9Q66jksv1RJYCFIIYQYR2faOhQdMlegGkGbJj7en4MzzV4xzQIPNIJC9jJNIEA5QDoBczW7cS4MH54ZIznJ1MDsY9bT9xxOdv9qjTCZkl3JQrvOl/lOt06xqR+Lg0AfQLIzegZWgCHaocx1VRcu3mW8TfD8r6qXIE3foq+2YlJwbyfMEa/vh9oiAb7EGIoRzu3uc19CEVh+phmoPVZz0CFeHN3zzEVeMeYBd1dKme7U3gQql9+gtcSelDnDnZ4JMzD4rEcy+6D5vE4FxyYPd3AEDfzfybHet++PuOu3emqPG97P+YPHS65QJmzTVIBdx3t2GcXfeM6nAwIoOoGmupbsH2t/ifvWpT+WUunCr/Qd51cLEti9AOQHSffxDKbUMlyuAh/MzoZnGAYsWAcArThYoA0rHM+16UqLD4qhieoHqP3tTnHCUbV1q8PIJODPJyDjPOIbWEjlaNNXTKBEKF+I80gYyTpBZmSKG1TOdtNkpeGeMD/Z+Ro24TYCR7lYMM79UYubpHTnTnhPqH5uX52lbeLQcgvK1iaskhvQImxZjc/19m+JWVZ2z7HzLkyeMQ+vwDdpaP975yTgqMEIL4IYS6Ggqx/yiGBbjJ2aa/qaYQXKDjapvK23NYGIM3Mu8qxKA4QhCwMOV0hAPlODtfMw6iXr6DaxDY7oHpYX6c15rL8MzimYqBrJXiu2kKf+DKB3t8jxq0cbQI75ahTILYR0s1jBdFGfdy5rkGsgu4ulbPdqfOX+zBzTtaV40GAoGzNrP9szr7uYOY8bxc74uBgT/2ZVQp2ZuDegKYB8CpHy8/ampg3D4nfzQBpCg9p3tRIjvhwv0EdFGDO0zm/VR42lhk7z7uO1qUkknxunx85WemqQ/m5/J9OFxzU14G8tEX1NMImeYc66aJc7nCHKk7jYFBOA3mH2WJ55nbp5pb/wvF+0Jt3tEDqOS6MyTljnAvBlDYjth9SAL6CcpvzC2PCiU70w21S6Zt4siPQrhztaI7jCCDiXJrol+R4U9cb+op5lbaonO1GuWdoW1J27v+Dne9hwtFicHFz5RxA5mXxBhmXc1mzeeML1Uw+T+vj0BDjexkQ6AA7dr5Yzm15noapAl+X/qkXTg8A5O58SXjaFt1l822dcwXHOfYpuV9L265cdCyL8+mxCNRZiqT0VFXO9kVy+UPlRunn4AAl4/gC9zxoLx9w7GO0MdbBZWef+IYZDMNPHvQ+rmyeVdQrvDMWxTGT35HgtpkUnzp49LvthhvMh5ubeSiHtASG9tuHAJfOEZq5NAbCWY2F8bIxKE6EaTKvYu12lbPdKcjHDrfZ9zeX939mM3+JZV3D0caDeDjC7oTOvKyDiX+fVORO8SPC4+CAmLMdoO5Qb2L82U/C1eV0Gbz0pTJuOxAaHizyO1tbfkNK/imZEUfDKuZRzzEYduw4haPN8qnHfxiD2ps5t+zauDES2Pa+pW2qnO1GrXZtmos1M+V0XV1fOduFrxNEYB2+LK07+8YvhmmJ451wnDfSmuFUAuTPfirf6vvQ+EbbSNJPKOQON47TcHPoBKdgTuMzaE+ohW1p9E852mY0VTpRqDwr764G46u8b8N2c76lvSpnu1MNnav/ZT/oSYNwsCFUR+6W4vwhSFD7cQf8j/mDadSJHKyCG4DWpzfaAuA+5uiHAOnjy7rmtynUMWDbOQcEkKgLkBKPeAX4Yb9FHbSJr8eec1hc8ktH2/ugOwWXKudAbTimekqi/z54cpeeqcrZvlBhVweI+bLexv9FhNlG/uh6Xc8NI7T74ojTAsgyNzxckqrDOVPM9Ndr3LDTB7d2pVcOF+ZwFWtc/scyfwIjqPc6NwSdBAJobZ6MsE452qba+JPGOHm4PlRnzccLUOZtLsjuVjnbnQq/7CJH2w+2/tzrnxb6unxvbwPHhoTJceb4MIcLbeKlvNcAPIHeOUcHbHKbKZTh4O45XXa1Rxtx+c+O6+1oUN9PGgJWmJPlmNAmfN+Ac5i9rajLoObqI+SWjlYB8r/kM7TXczFreYzSNlXOdrNuOTEWw6lDC93ncswZw3827WrdTTHddwKxDwIAVo7XuA7aZNtB+eK4nROS2Ztkvl9SNyDcPxnCUe7Jh8D2HOxyPg605k+8q1gwZngSw4G2/xPbKGLNMbGi9GyVs92pljlZGwdDltMNblccA9mlttnq8v086HoD1xCho2E2nCSfCAJ4YwwNMwToqi6H6+wr5u1uFCF85qd7KoHcYcyJesjF521hexdOc1UX3a7qq+rgcbv+PO3IyTYozz8Pa3iulMv2j/XPjKX0rvOunO1uBRj59bReSBc3qF/9CrbF2DfSClyn0gMQL9/mCOrojOf6wUBX22RGsLMJ0Z9skzyxiLoBaB57At2nFfo/AdoRp41PDfDYLne+jdqZqBftcNvEPlC/f39b/8xYSu8473K2u3QbmnQQdzfbc62H+acLDjvfNmvpHeTc8a7dcKyP7fKcrQ2Autd9XRqBnkpwqYnm40sIgsOVuVzlcG3CpJ3xs5tDo/4syxxlFsM5Yd/3jqOVOVo1ftJO537nsnTpuMy7s/RUVc52t44TYO6yHQG1cLPD3c224TPp6sJ04A0JyMr4DeZIRyE5WfWny3GMfI5t7gNV14e7cu2iz3Rs+kvUH0V9+09AN90u/IVebLa6MjhX56Ng4mSRAhxiLCCs3LOvW/WFdm5epWer0gjb1I8yC5+rVEHXVRsHDwFKd0MrS1dwQICnTA/QWPISH0B9cJ3TKnXxE8guIIhuXQByPcaEoPrOhCUgEXKjTkN6jpHMrztmHmOM9YjhUxMRrqu0Rjnb16jSCLuUHL/jFdrwi3/+6ykCbOPSCG2+kNDj/sHYDcB+Ok5MN0Bdl4bePPjciwciJ/sIi3Vtth+gxhQCtEUdADY1F4ZrmLZII7h4Hb4CkAQo91KCa6sAqaArIJimBnyZu2l1mZpoj7SSNf+6rrpBpgBbsH2ZKo2wW/1SP+znFlaPw3SqQLlNDoWuVTwlMNu1OZaM0YEE809iuVd7GcJ+88+VFg/m4bLVUY4nhBUFrp9WcHNpXDcBGubM7tWBFoCFcRtceSycb+o2R3vhaLEdO1nDGI3imS8L0F/svtJTVM52l5pfHq/M8sHVXas96scNsmbkWI1ukNl0rD023FzzjpYnNMsGFPrRJnK746YSArUfuId5gA8g9/oJHA9wiDdc8VkNffJ5X8AVx3RAIrg6MEJfAJGZecftwOX7xJtUMeb6RpUNV3r8l9QrR7uIeYyYBo5X9Ml2Z+kpqpztbmX7F6HYFu0M8rdLx2rzRtgipnN3MtdKY6p6B0Wqd7YWYKbqnXPt66ujHSGr6+cJIo4xQUljNl0/xhycZdBOcHvXHOvHmKEept3h6E4MsAkMUgd8W8ac80/qcRtLW/Q/K2e7Re5KH3+xnZM172S7AzmwbYtt6YtmxksPfxDMUB8I8hjjCBPF+hMiMmUBByykOdyfMw+gbqOf/N4Gl444F68cLl5qOzDBPHphQ7gifGZ9b5t9i1cEqcV8KtY7d8mAjfMYbS4ca+po8YvB+0sK/7XQf9SHueM+Kz1b5Wx3i/bvIS/XjcDF+VsNtwFMjGG+Hvv5P0/eZrzRBqAknj4YlTCO+ztlbnw/Tv5r5k8G/+ZwFXCTmI0X8OYc1YdleivNh3HAcq/HOqBxOcK4UXtLgI7/VD8GLfUxqnfbXXq2Kme7S42Wz38jh+gcLfyi/5llwclyG/jykMNs5m75ZQckXXhCwebEEOy9OblSn7NtMWc7hm0AdILggDTDu8194W60ZTlaKBs52qS+f4DbjQ62L3M5OFPnXCGmdKnYh/rBF4aHlxX+o/HvOtr/xPiXffhP/1hpk+pphI2aDrFRIajZzN2yzro0n6pi4RgYG+vkcvOxAYwhNizHLISA6Fk+c7caqKhDlGl1yMYyv4onpiaaNtdmnqeab0PAdpfdDeYdbqhxf4IcAtlNpyXL5mI5kLpYfFLon82PM2IWbXepnO0udeZk7pQPmjPvenTHiXf0MYa12ZZzs2P9DIyv/nZHyU8wMC0pBeFuurmNg/mD0w2PryFs0tdzm4cw7xyA/9Lhusvz2U7ecFJtG1z2r4DV+zT80zoEPIZez6GqtuGPMPr66VKTfvTUwtFiGT+7K3O3br+Vnq3K2b5Kh/8cz8vy/udcKSwfXMdPHSgHzO40ABDqDMdos17C0iAPLNoyDPHG12h71a9XZwAQwIVN0uBoJsdwDpVOCo36dciGtr0ZwpPGaNSPnSnEkM/yyjHmWPFGXN52jMFOt7RFp7PFI4/3dnbdeVX/rrGUNsQav9C9+VnW3aadMHSu1abj7GUIvxOwIzPR86XDDTdwujbbqy+GVo4W6XDMoR0s8el3hGXvbi0BNvQTj4w5oLo0BsIO5nOuxxwtjDPmAMsNL/VVPW1f3yYAlGvLQAzA9GNP8PHvyCyLXzjTfx+onB2tesKAn0ZQ7rhg+xL9Lz6jxPrb+neNpbQrFgArc7AAN1Z4BpefIBDOdn6nQov1HTA4XgCkqrcJWdy8w1eZgmwSw4E8gJbKoG1wuQziFirdVNw+MNwmjEH9Rj2BE+O5XxHxZAPGaFSGznQ0IwAKKE84my+TMRrF4Fhx20vPVeVsdwkOEPcqpPvFtpjLdTnbs69zvWod4AbONjwjOwLiOk6Yxj1ahOwBKx0WkLN9jGu+HsE/1GJa4mzrQQwxgnhn9qlQeVNlFLupVEKb28CgcpBUf0ontsmAqb/7AJb56QRwtOPtMO6XOVrI8x4YG79XobRFlSWhHTUAAAj7SURBVLN9lVS+tZc3AJTKr8q+E1SuL7pKhl5Shvx89BVw5FwvzNVBClMACPDRxANcpiqc1pD1c19BWRW3cO6RrlrCuk+5URuYRwiFAMfzXPPbEMAOyzAP52gD2BPIr04Ki11V+neVs92l8Att/sD5Q+X/nQcuPn87HGzzbQ8qBzd8YDlC2KUUkHJ45AN8DyofoEfgEDUwBXD80OH2/WK+rf+SGqbXohzgN3O0ACbXlsoZWNYm1F3bDG562eVi1R9pDA5Vlx/OpUJ79cYZtsW5CKfrfwalZ6ues32VBsRiuftEECR51DS/KssJcJD/PUJbi5f2WTnOhwHGTjYt9wEPbu90p5zgajbhz11ulB9p+zan32h8Ue7+rDiOyTfJRgxdHr4lbMQQ46q0xVl+JOW420rPVznbXeq/0P27Ds6yATh+FnaUQwBZ1+ZlvmFOt02HyLld9f15DtDnQYdulPKwof34aB7IWG79udtY7mIyhMYJgoG4eM42c61jSOw3yw+GKLZPHS/Um287nol1rhfaJG+HKffpc7JcB+Uq5h1Hy2Pz7is9VZWz3S3xxID77HXB4UIuVPVtsCydbZMxHzdzkr58oKkcL9dzTO47ugjQM3yxvqkbZaxVuajLYrrmou+AtQC9y/t6kHu3KcbjvCnEHOfOtojpcroipuvbdF/819uVtqic7S7xsamOVfwFZ7Bhm/8oBfGH+xKU1VMKXexQ+2u6qrzheq+HiWWuV74pBn0zyMq+AnCiPOZlTfcNjpW2h4F01oWcLcdJYbYqn8vzO2dF3/70gXrqYOFiH3VnfG7j3igz745LW1Q52926cLAHQqxRnwAxiJW2g/pejJf+Kyer3HAAF9STQ5Vvesk0gpB6jjdo9W1fLRbdaRPmhPCGNpmztQSmPFCALpy3cKBm9A+hz7Hyk0MAuZqf6lus3aZKI+wW36nPAJmlCNynB2Z4bCm40PPzDlQhJSA3I+RyZbM4D9lOgJvAs/6ScIyzgG+70cZswkjODyoDBBfzYLiNExKNoW5wBbirdjSGazfr4zO8NIabn1n28y/9uyqNsEvKCDXLb4y5z/MAoBccfJqgxb4j3YBQBrD2ssMoxZDBF+zXANeizWEWviXLcFmNSY5MuExdrtuF13evIOZgyu3FOs9LtPFvdHGsJtaTNu7S3+BrGZNYZ7sj9G0WHgvj8kojbFelEXbrpzfGDmDjZZqADozULQMcbrnNFucT0h2rgzKPlc8/i+fb/PRLaWSbAE9uswA7wTv+pYaLWKk7pXllsdKTga0hP8ZXfWFfFGu3qZztLuFxln4KEOHJbzjYNpm1isU3xFTMzPUu0wnNwk04GWuuHxibY12C8QJ4t9qpH4DoA+A5MlCFdTzhZDDNlld11CZzp/0Lv/HGmWVxMYaO5WOI3Vx6iipnu1uXOdoEkGbJL35yNASXnAFyNb6Hr3O0bti7R+QVVLkug6pqfzd234Rnx74Cc7ac1Yk2NJ+5HWKeS7ivxm8+VKURtqnSCLt154aY+ly2iYCWf7fR6dmAxDZ/G/uqH7U5xHcZXMZewPL2fLJ98pM+V/s1tolOO1v+AcBX69nUSk9RJRE+RHuOkTc6E6e55s/UG+350pNUsC0t9EZ0e6OpvEJftrlfoYLth+grnNBXbGTpU1WwLZVKpReoYPsh+orLzq/YyNKnqmBbWuiNrtvfaCqv0Jdt7leoYPsh2nNwvpGVbPZVBHqjPV96kgq2pVKp9AIVbD9E9ZztZ+mN9nzpSSrYlhZ6I7q90VReoS/b3K9QwfZD9BVO6Cs2svSpKtiWSqXSC1Sw/RB9xWXnV2xk6VNVsC0t9EbX7W80lVfoyzb3K1Sw/RDVc7afpTfa86UnqWD7IfqKg/MrNrL0qSrYlhZ6Iyv5RlN5hb5sc79CBdsPUaURPktvtOdLT1LBtlQqlV6ggu2HqF7X/Sy90Z4vPUkF29JCb0S3N5rKK/Rlm/sVKth+iL7CCX3FRpY+VQXbUqlUeoEKth+ir7js/IqNLH2qCralhd7ouv2NpvIKfdnmfoUKth+ies72s/RGe770JBVsS6VS6QUq2H6I6jnbz9Ib7fnSk1SwLS30RnR7o6m8Ql+2uV+hgu2H6Cuc0FdsZOlTVbAtlUqlF6hg+yH6isvOr9jI0qeqYFta6I2u299oKq/Ql23uV6hg+yGq52w/S2+050tPUsH2Q/QVB+dXbGTpU1WwLS30RlbyjabyCn3Z5n6FCrYfokojfJbeaM+XnqSCbalUKr1ABdsPUb2u+1l6oz1fepIKtqWF3ohubzSVV+jLNvcrVLD9EH2FE/qKjSx9qgq2pVKp9AIVbD9EX3HZ+RUbWfpUFWxLC73RdfsbTeUV+rLN/QoVbD9E9ZztZ+mN9nzpSSrYlkql0gtUsP0Q1XO2n6U32vOlJ6lgW1rojej2RlN5hb5sc79CBdsP0Vc4oa/YyNKnqmBbKpVKL1DB9kP0FZedX7GRpU9Vwba00Btdt7/RVF6hL9vcr1DB9kNUz9l+lt5oz5eepIJtqVQqvUAF2w9RPWf7WXqjPV96kgq2H6JKI3yW3mjPl56kgm2pVCq9QAXbD1GlET5Lb7TnS09Swba00BvR7Y2m8gp92eZ+hQq2H6KvcEJfsZGlT1XBtlQqlV6ggu2H6CsuO79iI0ufqoJtaaE3um5/o6m8Ql+2uV+hgu2HqJ6z/Sy90Z4vPUkF21KpVHqBCrYfonrO9rP0Rnu+9CQVbEsLvRHd3mgqr9CXbe5XqGD7IfoKJ/QVG1n6VBVsS6VS6QUq2H6IvuKy8ys2svSpKtiWFnqj6/Y3msor9GWb+xUq2H6I6jnbz9Ib7fnSk1SwLZVKpReoYPshqudsP0tvtOdLT1LBtrTQG9HtjabyCn3Z5n6FCrYfoq9wQl+xkaVPVcH2Q1RphM/SG+350pNUsC0t9EZ0e6OpvEJftrlfoYLth+grnNBXbGTpU1WwLZVKpReoYPsh+orLzq/YyNKnqmBbWuiNrtvfaCqv0Jdt7leoYPshqtd1P0tvtOdLT1LBtlQqlV6ggu2HqJ6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+     <use xlink:href="#DejaVuSans-4c"/>
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+//PDFReader/ObjectRegistry get{
+dup length 0 exch 1 exch 1 sub{
+2 copy get dup xcheck{
+pop pop
+}{
+dup null eq{
+pop pop
+}{
+dup type/dicttype eq{/.Global known}{pop false}ifelse{
+pop
+}{
+//PDFR_DEBUG{
+(Dropping )print dup =
+}if
+1 index exch/DroppedObject put
+}ifelse
+}ifelse
+}ifelse
+}for
+pop
+}forall
+FontDirectory length dict begin
+FontDirectory{
+pop
+dup//StandardFontNames exch known not{
+dup null def
+}if
+pop
+}forall
+currentdict
+end{
+pop
+//PDFR_DEBUG{
+(Undefining font )print dup =
+}if
+undefinefont
+}forall
+//PDFR_DEBUG{
+(CleanAllResources end)=
+}if
+}bind def
+/PrintReference
+{
+//PDFR_DEBUG{
+({ )print
+dup{
+=only( )print
+}forall
+( })=
+}if
+}bind def
+/R
+{
+0 ne{
+exch mark exch(A referred object generation )exch( isn't 0.)//error exec
+}if
+[
+exch//GetRegistered/exec load
+]cvx
+//PrintReference exec
+}bind def
+/IsObjRef
+{
+dup type/arraytype eq{
+dup length 3 eq{
+dup xcheck exch
+dup 0 get type/integertype eq 3 2 roll and exch
+dup 1 get//GetRegistered eq 3 2 roll and exch
+2 get/exec load eq and
+}{
+pop false
+}ifelse
+}{
+pop false
+}ifelse
+}bind def
+/DoNothing
+{
+}def
+/RunTypeDaemon
+{
+dup type/dicttype eq{
+dup/Type//knownget exec{
+//PDFReader/TypeDaemons get exch
+//knownget exec{
+exec
+}if
+}if
+}if
+}bind def
+/obj
+{
+//PDFR_DEBUG{
+(Defining )print 1 index =only( )print dup =only( obj)=
+}if
+0 ne{
+exch mark exch(An object generation )exch( isn't 0.)//error exec
+}if
+}bind def
+/endobj
+{
+//PDFR_DEBUG{
+(endobj )=
+}if
+count 1 eq{
+pop
+}{
+dup type/dicttype eq{
+dup/.endobj_daemon//knownget exec{
+//PDFR_DEBUG{(.endobj_daemon for )print 2 index =}if
+exec
+}if
+}if
+dup type/dicttype eq{dup/ImmediateExec known}{false}ifelse{
+pop pop
+}{
+//PDFR_DEBUG{
+(Storing )print 1 index =
+}if
+//RunTypeDaemon exec
+//DoNothing 3 1 roll//Register exec
+}ifelse
+}ifelse
+}bind def
+/StoreBlock
+{
+//PDFR_DEBUG{
+(StoreBlock )print//PDFReader/BlockCount get =only(, Length = )print dup length =
+}if
+dup length string copy
+//PDFReader/BlockCount get exch
+//PDFReader/CurrentObject get 3 1 roll
+put
+//PDFReader/BlockCount get 1 add
+//PDFReader exch/BlockCount exch put
+}bind def
+/CheckLength
+{dup type/integertype ne{
+mark(Object length isn't an integer.)//error exec
+}if
+}bind def
+/ResolveD
+{
+3 copy pop get
+dup//IsObjRef exec{
+//PDFR_DEBUG{
+(Resolving )print//PrintReference exec
+}if
+exec
+exch exec
+}{
+exch pop
+}ifelse
+dup 4 1 roll
+put
+}bind def
+/ResolveA
+{2 index 2 index get
+dup//IsObjRef exec{
+exec
+exch exec
+3 copy put
+}{
+exch pop
+}ifelse
+exch pop exch pop
+}bind def
+/StoreStream
+{
+dup//PDFReader exch/CurrentObject exch put
+//PDFReader/BlockCount 0 put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(StoreStream Length = )print dup =
+}if
+currentfile exch()/SubFileDecode filter
+{dup//BlockBuffer readstring{
+//StoreBlock exec
+}{
+//StoreBlock exec
+exit
+}ifelse
+}loop
+pop
+//PDFReader/CurrentObject null put
+//PDFR_DEBUG{
+(StoreStream end.)=
+}if
+}bind def
+/MakeStreamDumper
+{
+//PDFR_DEBUG{
+(MakeStreamDumper beg.)=
+}if
+currentglobal exch dup gcheck setglobal
+[exch
+1 dict dup/c 0 put exch
+1024 string
+{readstring pop
+(StreamDumper )print 1 index/c get =string cvs print( )print
+dup length =string cvs print( <)print dup print(>\n)print
+dup length
+3 2 roll
+dup/c get
+3 2 roll
+add/c exch put
+}/exec load
+]
+cvx 0()/SubFileDecode filter
+exch setglobal
+//PDFR_DEBUG{
+(MakeStreamDumper end.)=
+}if
+}bind def
+/ShortFilterNames 15 dict begin
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/AppendFilters
+{
+//PDFR_DEBUG{
+(AppendFilters beg.)=
+}if
+dup 3 1 roll
+/Filter//knownget exec{
+dup type/nametype eq{
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+2 index/DecodeParms//knownget exec{
+exch
+}if
+filter
+}{
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+3 1 roll
+4 index/DecodeParms//knownget exec{
+exch get
+}{
+pop null
+}ifelse
+dup null eq{
+pop 3 1 roll filter exch
+}{
+3 1 roll
+4 1 roll filter exch
+}ifelse
+}for
+pop
+}ifelse
+//PDFR_DEBUG//PDFR_DUMP and{
+//MakeStreamDumper exec
+}if
+}if
+exch pop
+//PDFR_DEBUG{
+(AppendFilters end.)=
+}if
+}bind def
+/ExecuteStream
+{
+dup//PDFReader exch/CurrentObject exch put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(ExecuteStream id = )print 2 index =only( Length = )print dup =
+}if
+//PDFReader/InitialGraphicState get
+//PDFReader/GraphicState get copy pop
+//PDFReader/Operators get begin
+currentfile exch()/SubFileDecode filter
+1 index//AppendFilters exec
+cvx mark exch
+exec
+counttomark 0 ne{
+mark(Data left on ostack after an immediate stream execution.)//error exec
+}if
+cleartomark
+end
+//PDFR_DEBUG{
+(ExecuteStream end.)=
+}if
+//PDFReader/CurrentObject null put
+dup/IsPage known{
+dup/Context get/NumCopies//knownget exec{
+1 sub{
+copypage
+}repeat
+}if
+EPS2Write not{showpage}if
+pagesave restore
+}if
+}bind def
+/stream
+{
+//PDFR_DEBUG{
+1 index =only( stream)=
+}if
+1 index GetObject{
+dup xcheck{
+exec
+1 index null PutObject
+}{
+pop
+}ifelse
+}if
+dup/ImmediateExec known{
+dup/GlobalExec//knownget exec{
+currentglobal 4 1 roll
+setglobal
+//ExecuteStream exec
+3 2 roll setglobal
+}{
+//ExecuteStream exec
+}ifelse
+}{
+//StoreStream exec
+}ifelse
+dup/.CleanResources//knownget exec{
+/All eq{
+//CleanAllResources exec
+}if
+}if
+}bind def
+/HookFont
+{
+//PDFR_DEBUG{
+(Loaded the font )print dup/FontName get =
+}if
+{
+dup/FontFileType get dup/Type1 eq exch/MMType1 eq or{
+dup/FontName get
+//PDFReader/RemoveFontNamePrefix get exec
+findfont
+exit
+}if
+dup/FontFileType get/TrueType eq{
+//PDFReader/MakeType42 get exec
+//PDFR_DEBUG{
+(Font dict <<)=
+dup{
+1 index/sfnts eq{
+exch pop
+(/sfnts [)print
+{
+(-string\()print length//=only exec(\)- )=
+}forall
+(])=
+}{
+exch//=only exec( )print ==
+}ifelse
+}forall
+(>>)=
+}if
+dup/FontName get exch definefont
+exit
+}if
+mark(FontHook has no proc for )2 index/FontFileType get//error exec
+}loop
+/Font exch put
+}bind def
+/endstream
+{
+}bind def
+/xref
+{
+//PDFR_DEBUG{
+(xref)=
+//PDFR_DUMP{
+//PDFReader/ObjectRegistry get ==
+}if
+}if
+end
+count 0 ne{
+mark(Excessive data on estack at the end of the interpretation.)//error exec
+}if
+currentfile 1(%%EOF)/SubFileDecode filter
+flushfile
+cleardictstack
+}bind def
+/ResolveDict
+{dup{
+pop 1 index exch
+//DoNothing//ResolveD exec
+pop
+}forall
+pop
+}bind def
+/SetupPageView
+{
+//PDFR_DEBUG{
+(SetupPageView beg)=
+}if
+//DSC_OPDFREAD not{
+//GraphicState/InitialMatrix get setmatrix
+}if
+/MediaBox get aload pop
+3 index neg 3 index neg translate
+3 -1 roll sub 3 1 roll exch sub exch
+userdict/.HWMargins//knownget exec{
+aload pop
+}{
+currentpagedevice/.HWMargins//knownget exec{
+aload pop
+}{
+0 0 0 0
+}ifelse
+}ifelse
+currentpagedevice/PageSize get aload pop
+3 -1 roll sub 3 1 roll exch sub exch
+exch 3 index sub exch 3 index sub
+//SetPageSize{
+//PDFR_DEBUG{
+(Setting page size to )print 1 index//=only exec( )print dup =
+}if
+pop pop 3 index 3 index 2 copy
+currentglobal false setglobal 3 1 roll
+currentpagedevice dup/PageSize known{
+/PageSize get aload pop
+}{
+0 0
+}ifelse
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{
+//PDFR_DEBUG{(PageSize matches request)== flush}if
+pop pop
+}{
+/MediaRequested where{
+//PDFR_DEBUG{(MediaRequested is true, check against new request)== flush}if
+/MediaRequested get aload pop
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{
+//PDFR_DEBUG{(MediaRequested same as current request, ignore)== flush}if
+pop pop false
+}{
+//PDFR_DEBUG{(MediaRequested different to current request)== flush}if
+true
+}ifelse
+}{
+//PDFR_DEBUG{(No MediaRequested yet)== flush}if
+true
+}ifelse
+{
+//PDFR_DEBUG{(Setting pagesize)== flush}if
+2 array astore
+dup/MediaRequested exch def
+<< exch/PageSize exch >>setpagedevice
+}if
+}ifelse
+userdict/PDFR_InitialGS gstate put
+setglobal
+}if
+//RotatePages{
+2 copy gt 6 index 6 index gt ne{
+1 index 5 index le 1 index 5 index le and not
+}{
+false
+}ifelse
+}{
+false
+}ifelse
+{//CenterPages{
+//PDFR_DEBUG{
+(Rotating page, and then centering it)==
+}if
+90 rotate
+0 5 index neg translate
+5 index 1 index exch sub 2 div
+2 index 6 index sub 2 div neg
+translate
+}{
+//FitPages{
+1 index 5 index div 1 index 7 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+90 rotate
+0 5 index neg translate
+}ifelse
+}{
+//CenterPages{
+//PDFR_DEBUG{
+(Ccentering page)==
+}if
+1 index 6 index sub 2 div
+1 index 6 index sub 2 div
+translate
+}{
+//FitPages{
+1 index 6 index div 1 index 6 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+}ifelse
+}ifelse
+pop pop
+translate
+pop pop
+//PDFR_DEBUG{
+(SetupPageView end)=
+}if
+}bind def
+/PageContentsDaemon
+{
+//PDFR_DEBUG{
+(Executing PageContentsDaemon for )print 2 index =
+}if
+1 index exch/Context exch put
+dup/ImmediateExec true put
+/pagesave save def
+dup/IsPage true put
+SetPageSize{dup/Context get//SetupPageView exec}if
+}bind def
+/FontFileDaemon
+{
+//PDFR_DEBUG{
+(Executing FontFileDaemon for )print 2 index =
+}if
+dup/FontFileType get
+2 index exch
+dup//ReadFontProcs exch//knownget exec{
+exch pop exec
+}{
+mark(FontFile reader for )2 index( isn't implemented yet.)//error exec
+}ifelse
+//PDFR_DEBUG{
+(FontFileDaemon end)=
+}if
+pop
+}bind def
+/FontDescriptorDaemon
+{
+//PDFR_DEBUG{
+(Executing FontDescriptorDaemon for )print 2 index =
+}if
+2 copy/FontResource exch put
+/Subtype get 1 index exch/FontFileType exch put
+}bind def
+/UnPDFEscape{
+dup dup length string cvs
+dup(#)search{
+{
+pop
+(16#--)2 index 0 2 getinterval
+1 index 3 2 getinterval copy pop
+cvi
+0 exch put
+0
+1 index 2 1 index length 2 sub getinterval
+3 copy putinterval
+length
+3 copy exch put
+getinterval
+(#)search not{
+pop exit
+}if
+}loop
+(\0)search pop exch pop exch pop
+cvn
+exch pop
+}{
+pop pop
+}ifelse
+}bind def
+/TypeDaemons<<
+/Page
+{//PDFR_DEBUG{
+(Recognized a page.)=
+}if
+dup/Contents//knownget exec{
+0 get//DoNothing exch
+[
+3 index//PageContentsDaemon/exec load
+]cvx
+//Register exec
+}{
+(fixme: page with no Contents won't be printed.)=
+}ifelse
+}bind
+/FontDescriptor
+{//PDFR_DEBUG{
+(Recognized a font descriptor.)=
+}if
+dup/FontName//knownget exec{
+1 index/FontName 3 -1 roll//UnPDFEscape exec put
+}if
+dup dup/FontFile known{/FontFile}{/FontFile2}ifelse
+//knownget exec{
+0 get//DoNothing exch
+[
+3 index//FontFileDaemon/exec load
+]cvx
+//Register exec
+}{
+(Font descriptor )print 1 index =only( has no FontFile.)=
+}ifelse
+}bind
+/Font
+{//PDFR_DEBUG{
+(Recognized a font resource.)=
+}if
+dup/BaseFont//knownget exec{
+//UnPDFEscape exec 2 copy/BaseFont exch put
+//PDFReader/RemoveFontNamePrefix get exec
+currentglobal exch
+dup/Font resourcestatus{
+pop pop
+//PDFReader/GetInstalledFont get exec pop
+}{
+pop
+}ifelse
+setglobal
+}if
+dup/FontDescriptor//knownget exec{
+0 get
+dup//IsRegistered exec{
+//PDFR_DEBUG{
+(already registered )print dup =
+}if
+pop
+}{
+//DoNothing exch
+[
+3 index//FontDescriptorDaemon/exec load
+]cvx
+//Register exec
+}ifelse
+}if
+}bind
+>>def
+/MakeStreamReader
+{dup
+[
+exch
+//PDFR_DEBUG{
+(Stream proc )
+/print load
+//PDFR_STREAM{
+(<)
+/print load
+}if
+}if
+1 dict dup/i -1 put
+/dup load
+/i
+/get load
+1
+/add load
+/dup load
+3
+1
+/roll load
+/i
+/exch load
+/put load
+//knownget
+/exec load
+/not load
+{()}
+/if load
+//PDFR_DEBUG{
+//PDFR_STREAM{
+/dup load
+/print load
+(>)
+/print load
+}if
+( end of stream proc.\n)
+/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Stream reader )print dup ==
+}if
+0()/SubFileDecode filter
+exch//AppendFilters exec
+}bind def
+/RunDelayedStream
+{
+//GraphicState/InitialTextMatrix get
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get
+2 copy get null eq{
+2 copy currentglobal true setglobal matrix exch setglobal put
+}if
+get copy pop
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 add put
+//MakeStreamReader exec
+mark exch
+cvx exec
+counttomark 0 ne{
+mark(Data left on ostack after a delayed stream execution.)//error exec
+}if
+cleartomark
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 sub put
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get get
+//GraphicState/InitialTextMatrix get
+copy pop
+}bind def
+//ReadFontProcs begin
+/Type1
+{//PDFR_DEBUG{
+(ReadFontProcs.Type1)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+dup/ImmediateExec true put
+/GlobalExec true put
+}bind def
+/MMType1//Type1 def
+/TrueType
+{//PDFR_DEBUG{
+(ReadFontProcs.TrueType)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+pop
+}bind def
+end
+/.opdloadttfontdict 50 dict def
+.opdloadttfontdict begin
+/maxstring 65400 def
+end
+/.InsertionSort
+{
+/CompareProc exch def
+/Array exch def
+1 1 Array length 1 sub
+{
+/Ix exch def
+/Value1 Array Ix get def
+/Jx Ix 1 sub def
+{
+Jx 0 lt{
+exit
+}if
+/Value2 Array Jx get def
+Value1 Value2 CompareProc{
+exit
+}if
+Array Jx 1 add Value2 put
+/Jx Jx 1 sub def
+}loop
+Array Jx 1 add Value1 put
+}for
+Array
+}bind def
+/putu16{
+3 copy -8 bitshift put
+exch 1 add exch 16#ff and put
+}bind def
+/putu32{
+3 copy -16 bitshift putu16
+exch 2 add exch 16#ffff and putu16
+}bind def
+/.readtable{
+dup dup 1 and add string
+dup 0 4 -1 roll getinterval
+3 -1 roll exch
+dup()ne{readstring}if pop pop
+}bind def
+/.readbigtable{
+dup maxstring lt{
+.readtable
+}{
+currentuserparams/VMReclaim get -2 vmreclaim
+[4 2 roll{
+dup maxstring le{exit}if
+1 index maxstring string readstring pop 3 1 roll maxstring sub
+}loop .readtable]
+exch vmreclaim
+}ifelse
+}bind def
+/ReadTTF
+{
+.opdloadttfontdict begin
+/TTFontFile exch def
+/TableDir TTFontFile 12 string readstring pop def
+/tables TTFontFile TableDir 4 getu16 16 mul string readstring pop def
+/tabarray tables length 16 idiv array def
+TableDir 0 4 getinterval(ttcf)eq{
+QUIET not{(Can't handle TrueType font Collections.)=}if
+/.loadttfonttables cvx/invalidfont signalerror
+}{
+0 16 tables length 1 sub{
+dup
+tables exch 16 getinterval
+exch 16 div cvi exch
+tabarray 3 1 roll put
+}for
+}ifelse
+tabarray{exch 8 getu32 exch 8 getu32 gt}.InsertionSort pop
+/Read TableDir length tables length add def
+/tabs[
+tabarray{
+dup 8 getu32
+Read sub
+dup 0 gt{
+dup string TTFontFile exch readstring pop pop
+Read add/Read exch def
+}{
+pop
+}ifelse
+12 getu32
+dup Read add
+/Read exch def
+TTFontFile exch .readbigtable
+}forall
+]def
+end
+}bind def
+/GetLocaType
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(head)eq{
+tabs exch get
+50 gets16
+/LocaType exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/GetNumGlyphs
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(maxp)eq{
+tabs exch get
+4 getu16
+/NumGlyphs exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/StringToLoca
+{
+/LocaIndex exch def
+/StringOffset 0 def
+{
+dup length StringOffset gt{
+dup
+LocaType 1 eq{
+StringOffset getu32
+LocaArray LocaIndex 3 -1 roll put
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 4 add
+def
+}{
+StringOffset getu16 2 mul
+LocaArray length LocaIndex gt{
+LocaArray LocaIndex 3 -1 roll put
+}{
+pop
+}ifelse
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 2 add
+def
+}ifelse
+}{
+pop
+LocaIndex
+exit
+}ifelse
+}loop
+}bind def
+/GetSortedLoca
+{
+NumGlyphs 1 add array/LocaArray exch def
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(loca)eq{
+tabs exch get
+exit
+}{
+pop
+}ifelse
+}for
+dup type/stringtype eq{
+0 StringToLoca pop
+}{
+0 exch
+{
+exch StringToLoca
+}forall
+pop
+}ifelse
+LocaArray{gt}.InsertionSort pop
+}bind def
+/GetWorkingString
+{
+WorkString 0
+GlyfArray GlyfStringIndex get
+putinterval
+/WorkBytes GlyfArray GlyfStringIndex get length def
+/GlyfStringIndex GlyfStringIndex 1 add def
+}bind def
+/GetWorkingBytes
+{
+/BytesToRead exch def
+WorkString 0 BytesToRead getinterval
+dup length string copy
+WorkString BytesToRead WorkBytes BytesToRead sub getinterval
+dup length string copy
+WorkString 0 3 -1 roll putinterval
+/WorkBytes WorkBytes BytesToRead sub def
+}bind def
+/GetGlyfBytes
+{
+/ToRead exch def
+WorkBytes 0 eq{
+GetWorkingString
+}if
+WorkBytes ToRead ge{
+ToRead string dup 0
+ToRead GetWorkingBytes putinterval
+}{
+ToRead string
+dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+ToRead WorkBytes sub
+GetWorkingString
+GetWorkingBytes
+putinterval
+}ifelse
+}bind def
+/SplitGlyf
+{
+/GlyfArray exch def
+/DestArray GlyfArray length 2 mul array def
+/DestArrayIndex 0 def
+/LastLoca 0 def
+/NextLocaIndex 0 def
+/LastLocaIndex 0 def
+/GlyfStringIndex 0 def
+/WorkString maxstring string def
+/WorkBytes 0 def
+{
+LocaArray NextLocaIndex get
+LastLoca sub maxstring gt
+{
+LocaArray LastLocaIndex get LastLoca sub
+GetGlyfBytes
+DestArray DestArrayIndex 3 -1 roll put
+/DestArrayIndex DestArrayIndex 1 add def
+LocaArray LastLocaIndex get/LastLoca exch def
+}{
+/LastLocaIndex NextLocaIndex def
+/NextLocaIndex NextLocaIndex 1 add def
+NextLocaIndex NumGlyphs gt
+{
+WorkBytes
+GlyfStringIndex GlyfArray length lt{
+GlyfArray GlyfStringIndex get length
+add string dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+GetWorkingString
+WorkString 0 WorkBytes getinterval
+putinterval
+}{
+pop
+WorkString 0 WorkBytes getinterval
+}ifelse
+dup length string copy
+DestArray DestArrayIndex 3 -1 roll put
+exit
+}if
+}ifelse
+}loop
+DestArray
+}bind def
+/ProcessTTData
+{
+.opdloadttfontdict begin
+0 1 tabarray length 1 sub{
+/ix exch def
+tabarray ix get
+12 getu32 dup maxstring le{
+dup 4 mod 0 ne{
+4 div cvi 1 add 4 mul string/newstring exch def
+/oldstring tabs ix get def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix newstring put
+}{
+pop
+}ifelse
+}{
+dup 4 mod 0 ne{
+dup maxstring idiv maxstring mul sub
+4 idiv 1 add 4 mul string/newstring exch def
+tabs ix get
+dup length 1 sub dup/iy exch def get/oldstring exch def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix get iy newstring put
+}{
+pop
+}ifelse
+}ifelse
+}for
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+dup 12 getu32 maxstring gt{
+0 4 getinterval dup(glyf)eq{
+pop
+GetLocaType
+GetNumGlyphs
+GetSortedLoca
+dup tabs exch get
+SplitGlyf
+tabs 3 1 roll put
+}{
+(Warning, table )print print( > 64Kb\n)print
+pop
+}ifelse
+}{
+pop
+pop
+}ifelse
+}for
+end
+}bind def
+/Makesfnts
+{
+.opdloadttfontdict begin
+0
+tabs{
+dup type/stringtype eq{
+pop
+1 add
+}{
+{
+type/stringtype eq{
+1 add
+}if
+}forall
+}ifelse
+}forall
+1 add
+/TTOffset
+TableDir length
+tabarray length 16 mul add
+def
+0
+tabarray{
+exch dup 1 add
+3 1 roll
+dup
+tabs exch get
+dup type/stringtype eq{
+length
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}{
+0 exch
+{
+dup type/stringtype eq{
+length add
+}{
+pop
+}ifelse
+}forall
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}ifelse
+}forall
+pop
+array
+dup 0
+TableDir length
+tables length add
+string
+dup 0 TableDir putinterval
+dup 12 tables putinterval
+put
+dup
+/ix 1 def
+tabs{
+dup type/stringtype eq{
+ix exch
+put dup
+/ix ix 1 add def
+}{
+{
+dup type/stringtype eq{
+ix exch put dup
+/ix ix 1 add def
+}{
+pop
+}ifelse
+}forall
+}ifelse
+}forall
+pop
+end
+}bind def
+/MakeType42
+{
+//PDFR_DEBUG{
+(MakeType42 beg)=
+}if
+10 dict begin
+/FontName 1 index/FontName get def
+/FontType 42 def
+/FontMatrix[1 0 0 1 0 0]def
+/FontBBox 1 index/FontBBox get def
+dup/FontResource get
+dup/Encoding known{
+//PDFReader/ObtainEncoding get exec
+/Encoding get
+}{
+pop null
+}ifelse
+/PDFEncoding exch def
+/CharStrings 2 index//PDFReader/MakeTTCharStrings get exec def
+/sfnts 2 index//MakeStreamReader exec
+ReadTTF
+ProcessTTData
+Makesfnts
+def
+/Encoding StandardEncoding def
+/PaintType 0 def
+currentdict end
+//PDFR_DEBUG{
+(MakeType42 end)=
+}if
+}bind def
+/GetInstalledFont
+{
+dup//InstalledFonts exch knownget{
+exch pop
+}{
+dup findfont dup 3 1 roll
+//InstalledFonts 3 1 roll put
+}ifelse
+}bind def
+/RemoveFontNamePrefix
+{//=string cvs true
+0 1 5{
+2 index exch get//IsUpper exec not{
+pop false exit
+}if
+}for
+{(+)search{
+pop pop
+}if
+}if
+cvn
+}bind def
+/CheckFont
+{dup/Type get/Font ne{
+mark(Resource )3 index( must have /Type/Font .)//error exec
+}if
+}bind def
+/CheckEncoding
+{dup type/nametype ne{
+dup/Type get/Encoding ne{
+mark(Resource )3 index( must have /Type/Encoding .)//error exec
+}if
+}if
+}bind def
+/ObtainEncoding
+{dup/Encoding known{
+dup dup/Encoding//CheckEncoding//ResolveD exec
+dup type dup/arraytype eq exch/packedarraytype eq or{
+pop pop
+}{
+dup type/nametype eq{
+/Encoding findresource
+}{
+dup/BaseEncoding//knownget exec not{
+/StandardEncoding
+}if
+/Encoding findresource
+exch
+/Differences//knownget exec{
+exch dup length array copy exch
+0 exch
+{
+dup type/integertype eq{
+exch pop
+}{
+3 copy put pop
+1 add
+}ifelse
+}forall
+pop
+}if
+}ifelse
+/Encoding exch put
+}ifelse
+}{
+dup/Encoding/StandardEncoding/Encoding findresource put
+}ifelse
+}bind def
+/ObtainMetrics
+{dup/Widths//knownget exec{
+1 index/Encoding get
+256 dict
+3 index/Subtype get/TrueType eq{
+1000
+}{
+1
+}ifelse
+4 index/MissingWidth//knownget exec not{
+0
+}if
+5 index/FirstChar//knownget exec not{
+0
+}if
+6 5 roll
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+exch 3 index add
+7 index exch get
+dup dup null ne exch/.notdef ne and{
+6 index 3 1 roll exch
+6 index div
+3 copy pop//knownget exec{
+0 eq
+}{
+true
+}ifelse
+{put
+}{
+pop pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}for
+pop pop pop pop exch pop
+1 index exch/Metrics exch put
+}{
+dup/MissingWidth//knownget exec{
+256 dict
+2 index/Encoding get{
+dup null ne{
+3 copy 3 2 roll put
+}if
+pop
+}forall
+exch pop
+1 index exch/Metrics exch put
+}if
+}ifelse
+}bind def
+/NotDef
+{
+FontMatrix aload pop pop pop exch pop exch pop
+1 exch div exch
+1 exch div exch
+1 index 0 setcharwidth
+0 setlinewidth
+0 0 moveto
+2 copy rlineto
+1 index 0 rlineto
+neg exch neg exch rlineto
+closepath stroke
+}bind def
+/SaveResourcesToStack
+{
+[
+//PDFReader/OldResources known{
+//PDFReader/OldResources get
+}{
+null
+}ifelse
+//PDFReader/CurrentObject get/Context get/Resources get
+]
+//PDFReader/OldResources 3 -1 roll put
+}bind def
+/RestoreResourcesFromStack
+{
+//PDFReader/OldResources get dup
+0 get//PDFReader/OldResources 3 -1 roll put
+1 get//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put
+}bind def
+/BuildChar
+{//PDFR_DEBUG{
+(BuildChar )print dup//=only exec( )print
+}if
+exch begin
+Encoding exch get
+//PDFR_DEBUG{
+dup =
+}if
+dup null eq{
+pop//NotDef exec
+}
+{
+CharProcs exch//knownget exec
+{
+currentfont/Font get/Resources//knownget exec{
+exec
+SaveResourcesToStack
+//PDFReader/CurrentObject get/Context get
+/Resources 3 -1 roll put
+//RunDelayedStream exec
+RestoreResourcesFromStack
+}{
+//RunDelayedStream exec
+}ifelse
+}
+{
+//NotDef exec
+}ifelse
+}ifelse
+end
+}bind def
+/printdict
+{(<<)=
+{exch = ==}forall
+(>>)=
+}bind def
+/printfont
+{
+dup{
+exch dup =
+dup/Encoding eq{
+pop =
+}{
+dup/FontInfo eq exch/Private eq or{
+//printdict exec
+}{
+==
+}ifelse
+}ifelse
+}forall
+}bind def
+/ScaleMetrics
+{1 index{
+2 index div
+3 index
+3 1 roll put
+}forall
+pop
+}bind def
+/ResolveAndSetFontAux
+{exch dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Font//DoNothing//ResolveD exec
+exch//CheckFont//ResolveD exec
+dup/Font//knownget exec{
+exch pop exch pop
+}{
+{
+dup/Subtype get dup dup/Type1 eq exch/TrueType eq or exch/MMType1 eq or{
+exch pop
+dup/BaseFont get
+//RemoveFontNamePrefix exec
+//PDFR_DEBUG{
+(Font )print dup =
+}if
+1 index/FontDescriptor known{
+//PDFR_DEBUG{
+(Font from a font descriptor.)=
+}if
+1 index
+/FontDescriptor//DoNothing//ResolveD exec
+/Font//knownget exec{
+exch pop
+}{
+//PDFR_DEBUG{
+(Font descriptor has no Font resolved.)=
+}if
+//GetInstalledFont exec
+}ifelse
+}{
+//GetInstalledFont exec
+}ifelse
+exch
+dup/Encoding known not{
+1 index/Encoding get 1 index exch/Encoding exch put
+}if
+//ObtainEncoding exec
+//ObtainMetrics exec
+exch
+dup length dict copy
+dup 2 index/Encoding get
+/Encoding exch put
+1 index/Metrics//knownget exec{
+2 index/Subtype get/TrueType ne{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+0.001 div
+//ScaleMetrics exec
+}{
+1 index/sfnts known not{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+//ScaleMetrics exec
+}if
+}ifelse
+1 index exch/Metrics exch put
+}if
+1 index/BaseFont get
+exch
+dup/FID undef
+dup/UniqueID undef
+definefont
+dup 3 1 roll
+/Font exch put
+exit
+}if
+dup/Subtype get/Type3 eq{
+//ObtainEncoding exec
+2 copy exch/FontName exch put
+dup/CharProcs get//ResolveDict exec
+dup/FontType 3 put
+dup/BuildChar//BuildChar put
+dup dup/Font exch put
+dup 3 1 roll
+definefont
+2 copy ne{
+2 copy/Font exch put
+}if
+exch pop
+exit
+}if
+dup/Subtype get/Type0 eq{
+}if
+dup/Subtype get/CIDFontType0 eq{
+}if
+dup/Subtype get/CIDFontType2 eq{
+}if
+mark(Unknown font type )2 index/Subtype get//error exec
+}loop
+}ifelse
+exch scalefont setfont
+}bind def
+/ResolveAndSetFont
+{
+//ResolveAndSetFontAux exec
+}bind def
+/.knownget
+{2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/.min
+{2 copy lt{
+exch
+}if
+pop
+}bind def
+/.max
+{2 copy gt{
+exch
+}if
+pop
+}bind def
+/.dicttomark
+{>>
+}bind def
+/getu16{
+2 copy get 8 bitshift 3 1 roll 1 add get add
+}bind def
+/gets16{
+getu16 16#8000 xor 16#8000 sub
+}bind def
+/getu32{
+2 copy getu16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/gets32{
+2 copy gets16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/cmapformats mark
+0{
+6 256 getinterval{}forall 256 packedarray
+}bind
+2{
+/sHK_sz 2 def
+/sH_sz 8 def
+dup 2 getu16/cmapf2_tblen exch def
+dup 4 getu16/cmapf2_lang exch def
+dup 6 256 sHK_sz mul getinterval/sHKs exch def
+0
+0 1 255{
+sHKs exch
+2 mul getu16
+1 index
+1 index
+lt{exch}if pop
+}for
+/sH_len exch def
+dup 6 256 sHK_sz mul add
+cmapf2_tblen 1 index sub getinterval
+/sH_gIA exch def
+/cmapf2_glyph_array 65535 array def
+/.cmapf2_putGID{
+/cmapf2_ch cmapf2_ch_hi 8 bitshift cmapf2_ch_lo add def
+firstCode cmapf2_ch_lo le
+cmapf2_ch_lo firstCode entryCount add lt
+and{
+sH_offset idRangeOffset add
+cmapf2_ch_lo firstCode sub 2 mul
+add 6 add
+sH_gIA exch getu16
+dup 0 gt{
+idDelta add
+cmapf2_glyph_array exch cmapf2_ch exch put
+}{
+pop
+}ifelse
+}{
+}ifelse
+}def
+16#00 1 16#ff{
+/cmapf2_ch_hi exch def
+sHKs cmapf2_ch_hi sHK_sz mul getu16
+/sH_offset exch def
+sH_gIA sH_offset sH_sz getinterval
+dup 0 getu16/firstCode exch def
+dup 2 getu16/entryCount exch def
+dup 4 gets16/idDelta exch def
+dup 6 getu16/idRangeOffset exch def
+pop
+sH_offset 0 eq{
+/cmapf2_ch_lo cmapf2_ch_hi def
+/cmapf2_ch_hi 0 def
+.cmapf2_putGID
+}{
+16#00 1 16#ff{
+/cmapf2_ch_lo exch def
+.cmapf2_putGID
+}for
+}ifelse
+}for
+pop
+0 1 cmapf2_glyph_array length 1 sub{
+dup cmapf2_glyph_array exch get
+null eq{cmapf2_glyph_array exch 0 put}{pop}ifelse
+}for
+cmapf2_glyph_array
+}bind
+4{
+/etab exch def
+/nseg2 etab 6 getu16 def
+14/endc etab 2 index nseg2 getinterval def
+2 add
+nseg2 add/startc etab 2 index nseg2 getinterval def
+nseg2 add/iddelta etab 2 index nseg2 getinterval def
+nseg2 add/idroff etab 2 index nseg2 getinterval def
+pop
+/firstcode startc 0 getu16 16#ff00 and dup 16#f000 ne{pop 0}if def
+/lastcode firstcode def
+/striptopbyte false def
+/putglyph{
+glyphs code 3 -1 roll put/code code 1 add def
+}bind def
+/numcodes 0 def/glyphs 0 0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+ecode lastcode gt{
+/lastcode ecode def
+}if
+}for pop
+firstcode 16#f000 ge lastcode firstcode sub 255 le and{
+lastcode 255 and
+/striptopbyte true def
+}{
+lastcode
+}ifelse
+1 add
+array def
+glyphs length 1024 ge{
+.array1024z 0 1024 glyphs length 1023 sub{glyphs exch 2 index putinterval}for
+glyphs dup length 1024 sub 3 -1 roll
+putinterval
+}{
+0 1 glyphs length 1 sub{glyphs exch 0 put}for
+}ifelse
+/numcodes 0 def/code 0 def
+0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+numcodes scode firstcode sub
+exch sub 0 .max dup/code exch code exch add def
+ecode scode sub 1 add add numcodes add/numcodes exch def
+/delta iddelta i2 gets16 def
+TTFDEBUG{
+(scode=)print scode =only
+( ecode=)print ecode =only
+( delta=)print delta =only
+( droff=)print idroff i2 getu16 =
+}if
+idroff i2 getu16 dup 0 eq{
+pop scode delta add 65535 and 1 ecode delta add 65535 and
+striptopbyte{
+/code scode 255 and def
+}{
+/code scode def
+}ifelse
+{putglyph}for
+}{
+/gloff exch 14 nseg2 3 mul add 2 add i2 add add def
+striptopbyte{
+/code scode 255 and def
+}{
+/code scode def
+}ifelse
+0 1 ecode scode sub{
+2 mul gloff add etab exch getu16
+dup 0 ne{delta add 65535 and}if putglyph
+}for
+}ifelse
+}for glyphs/glyphs null def
+}bind
+6{
+dup 6 getu16/firstcode exch def dup 8 getu16/ng exch def
+firstcode ng add array
+0 1 firstcode 1 sub{2 copy 0 put pop}for
+dup firstcode ng getinterval
+0 1 ng 1 sub{
+dup 2 mul 10 add 4 index exch getu16 3 copy put pop pop
+}for pop exch pop
+}bind
+.dicttomark readonly def
+/cmaparray{
+dup 0 getu16 cmapformats exch .knownget{
+TTFDEBUG{
+(cmap: format )print 1 index 0 getu16 = flush
+}if exec
+}{
+(Can't handle format )print 0 getu16 = flush
+0 1 255{}for 256 packedarray
+}ifelse
+TTFDEBUG{
+(cmap: length=)print dup length = dup ==
+}if
+}bind def
+/postremap mark
+/Cdot/Cdotaccent
+/Edot/Edotaccent
+/Eoverdot/Edotaccent
+/Gdot/Gdotaccent
+/Ldot/Ldotaccent
+/Zdot/Zdotaccent
+/cdot/cdotaccent
+/edot/edotaccent
+/eoverdot/edotaccent
+/gdot/gdotaccent
+/ldot/ldotaccent
+/zdot/zdotaccent
+.dicttomark readonly def
+/get_from_stringarray
+{1 index type/stringtype eq{
+get
+}{
+exch{
+2 copy length ge{
+length sub
+}{
+exch get exit
+}ifelse
+}forall
+}ifelse
+}bind def
+/getinterval_from_stringarray
+{
+2 index type/stringtype eq{
+getinterval
+}{
+string exch 0
+4 3 roll{
+dup length
+dup 4 index lt{
+3 index exch sub
+exch pop 3 1 roll exch pop
+}{
+dup 3 1 roll
+4 index sub
+5 index length 4 index sub
+2 copy gt{exch}if pop
+dup 3 1 roll
+5 index exch getinterval
+5 index 4 index 3 index
+getinterval
+copy pop
+exch pop add exch pop 0 exch
+dup 3 index length ge{exit}if
+}ifelse
+}forall
+pop pop
+}ifelse
+}bind def
+/string_array_size
+{dup type/stringtype eq{
+length
+}{
+0 exch{length add}forall
+}ifelse
+}bind def
+/postformats mark
+16#00010000{
+pop MacGlyphEncoding
+}
+16#00020000{
+dup dup type/arraytype eq{0 get}if length 36 lt{
+TTFDEBUG{(post format 2.0 invalid.)= flush}if
+pop[]
+}{
+/postglyphs exch def
+/post_first postglyphs dup type/arraytype eq{0 get}if def
+post_first 32 getu16/numglyphs exch def
+/glyphnames numglyphs 2 mul 34 add def
+/postpos glyphnames def
+/total_length postglyphs//string_array_size exec def
+numglyphs array 0 1 numglyphs 1 sub{
+postpos total_length ge{
+1 numglyphs 1 sub{1 index exch/.notdef put}for
+exit
+}if
+postglyphs postpos//get_from_stringarray exec
+postglyphs postpos 1 add 2 index//getinterval_from_stringarray exec cvn
+exch postpos add 1 add/postpos exch def
+2 index 3 1 roll
+put
+}for
+/postnames exch def
+numglyphs array 0 1 numglyphs 1 sub{
+dup 2 mul 34 add postglyphs exch 2//getinterval_from_stringarray exec
+dup 0 get 8 bitshift exch 1 get add dup 258 lt{
+MacGlyphEncoding exch get
+}{
+dup 32768 ge{
+pop/.notdef
+}{
+258 sub dup postnames length ge{
+TTFDEBUG{(   *** warning: glyph index past end of 'post' table)= flush}if
+pop
+exit
+}if
+postnames exch get
+postremap 1 index .knownget{exch pop}if
+}ifelse
+}ifelse
+2 index 3 1 roll put
+}for
+}
+ifelse
+}bind
+16#00030000{
+pop[]
+}bind
+.dicttomark readonly def
+/first_post_string
+{
+post dup type/arraytype eq{0 get}if
+}bind def
+/.getpost{
+/glyphencoding post null eq{
+TTFDEBUG{(post missing)= flush}if[]
+}{
+postformats first_post_string 0 getu32 .knownget{
+TTFDEBUG{
+(post: format )print
+first_post_string
+dup 0 getu16 =only(,)print 2 getu16 = flush
+}if
+post exch exec
+}{
+TTFDEBUG{(post: unknown format )print post 0 getu32 = flush}if[]
+}ifelse
+}ifelse def
+}bind def
+/MacRomanEncoding[
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+]/Encoding defineresource pop
+/TTParser<<
+/Pos 0
+/post null
+>>def
+/readu8
+{read not{
+mark(Insufficient data in the stream.)//error exec
+}if
+}bind def
+/readu16
+{dup//readu8 exec 8 bitshift exch//readu8 exec or
+}bind def
+/reads16
+{//readu16 exec 16#8000 xor 16#8000 sub
+}bind def
+/readu32
+{dup//readu16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/reads32
+{dup//reads16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/SkipToPosition
+{dup//TTParser/Pos get
+exch//TTParser exch/Pos exch put
+sub
+//PDFR_DEBUG{
+(Skipping )print dup//=only exec( bytes.)=
+}if
+dup 0 eq{
+pop pop
+}{
+dup 3 1 roll
+()/SubFileDecode filter
+exch
+{1 index//BlockBuffer readstring pop length
+dup 0 eq{pop exch pop exit}if
+sub
+}loop
+0 ne{
+mark(Insufficient data in the stream for SkipToPosition.)//error exec
+}if
+}ifelse
+}bind def
+/TagBuffer 4 string def
+/ParseTTTableDirectory
+{//PDFR_DEBUG{
+(ParseTTTableDirectory beg)=
+}if
+15 dict begin
+dup//readu32 exec 16#00010000 ne{
+mark(Unknown True Type version.)//error exec
+}if
+dup//readu16 exec/NumTables exch def
+dup//readu16 exec/SearchRange exch def
+dup//readu16 exec/EntrySelector exch def
+dup//readu16 exec/RangeShift exch def
+//PDFR_DEBUG{
+(NumTables = )print NumTables =
+}if
+NumTables{
+dup//TagBuffer readstring not{
+mark(Could not read TT tag.)//error exec
+}if
+cvn
+[2 index//readu32 exec pop
+2 index//readu32 exec
+3 index//readu32 exec
+]
+//PDFR_DEBUG{
+2 copy exch//=only exec( )print ==
+}if
+def
+}repeat
+pop
+//TTParser/Pos 12 NumTables 16 mul add put
+currentdict end
+//PDFR_DEBUG{
+(ParseTTTableDirectory end)=
+}if
+}bind def
+/ParseTTcmap
+{//PDFR_DEBUG{
+(ParseTTcmap beg)=
+}if
+/cmap get aload pop
+3 1 roll
+7 dict begin
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(cmap position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos get/TablePos exch def
+dup//readu16 exec pop
+dup//readu16 exec/NumEncodings exch def
+//PDFR_DEBUG{
+(NumEncodings = )print NumEncodings =
+}if
+null
+NumEncodings{
+1 index//readu32 exec
+2 index//readu32 exec
+3 array dup 3 2 roll 0 exch put
+2 index null ne{
+dup 0 get 3 index 0 get sub
+3 index exch 1 exch put
+}if
+dup 4 3 roll pop 3 1 roll
+def
+}repeat
+dup 0 get
+4 3 roll exch sub
+1 exch put
+//PDFR_DEBUG{
+currentdict{
+exch dup type/integertype eq{
+//PrintHex exec( )print ==
+}{
+pop pop
+}ifelse
+}forall
+}if
+4 NumEncodings 8 mul add/HeaderLength exch def
+//TTParser/Pos//TTParser/Pos get HeaderLength add put
+0
+NumEncodings{
+16#7FFFFFF null
+currentdict{
+1 index type/integertype eq{
+exch pop dup 0 get
+dup 5 index gt{
+dup 4 index lt{
+4 1 roll
+exch pop exch pop
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}forall
+//PDFR_DEBUG{
+(Obtaining subtable for )print dup ==
+}if
+3 2 roll pop
+3 copy pop
+TablePos add//SkipToPosition exec
+3 copy exch pop 1 get
+//TTParser/Pos//TTParser/Pos get 3 index add put
+string
+readstring not{
+mark(Can't read a cmap subtable.)//error exec
+}if
+2 exch put
+}repeat
+pop pop
+currentdict end
+//PDFR_DEBUG{
+(ParseTTcmap end)=
+}if
+}bind def
+/GetTTEncoding
+{//PDFR_DEBUG{
+(GetTTEncoding beg)=
+}if
+get
+exch pop
+2 get
+10 dict begin
+/TTFDEBUG//PDFR_DEBUG def
+//cmaparray exec
+end
+//PDFR_DEBUG{
+(GetTTEncoding end)=
+dup ==
+}if
+}bind def
+/InverseEncoding
+{
+256 dict begin
+dup length 1 sub -1 0{
+2 copy get
+exch
+1 index currentdict exch//knownget exec{
+dup type/arraytype eq{
+aload length 1 add array astore
+}{
+2 array astore
+}ifelse
+}if
+def
+}for
+pop
+currentdict end
+}bind def
+/GetMacRomanEncodingInverse
+{//PDFReader/MacRomanEncodingInverse get
+dup null eq{
+pop
+MacRomanEncoding//InverseEncoding exec
+dup//PDFReader exch/MacRomanEncodingInverse exch put
+}if
+}bind def
+/PutCharStringSingle
+{
+dup 3 index length lt{
+2 index exch get
+dup 0 ne{
+def
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/PutCharString
+{1 index type/nametype ne{
+mark(Bad charstring name)//error exec
+}if
+dup type/arraytype eq{
+{
+3 copy//PutCharStringSingle exec
+pop pop
+}forall
+pop
+}{
+//PutCharStringSingle exec
+}ifelse
+}bind def
+/ComposeCharStrings
+{
+//PDFR_DEBUG{
+(ComposeCharStrings beg)=
+}if
+1 index length 1 add dict begin
+/.notdef 0 def
+exch
+//TTParser/post get
+dup null ne{
+exch
+1 index length 1 sub -1 0{
+dup 3 index exch get exch
+dup 0 eq 2 index/.notdef eq or{
+pop pop
+}{
+def
+}ifelse
+}for
+}if
+exch pop exch
+{
+//PutCharString exec
+}forall
+pop
+currentdict end
+//PDFR_DEBUG{
+(ComposeCharStrings end)=
+}if
+}bind def
+/ParseTTpost
+{
+//PDFR_DEBUG{
+(ParseTTpost beg)=
+}if
+/post get aload pop
+3 1 roll
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(post position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos//TTParser/Pos get 4 index add put
+exch dup 65535 le{
+string
+readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}{
+[3 1 roll
+dup 16384 div floor cvi
+exch 1 index 16384 mul
+sub exch
+1 sub 0 1 3 -1 roll
+{
+1 add index
+16384 string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}for
+counttomark -2 roll
+string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+]
+}ifelse
+1 dict begin
+/post exch def
+//.getpost exec
+//TTParser/post glyphencoding put
+//PDFR_DEBUG{
+(ParseTTpost end)=
+glyphencoding ==
+}if
+end
+}bind def
+/MakeTTCharStrings
+{//MakeStreamReader exec
+dup dup//ParseTTTableDirectory exec
+//TTParser/post null put
+dup/post//knownget exec{
+0 get
+1 index/cmap get 0 get
+lt{
+2 copy//ParseTTpost exec
+//ParseTTcmap exec
+}{
+2 copy//ParseTTcmap exec
+3 1 roll
+//ParseTTpost exec
+}ifelse
+}{
+//ParseTTcmap exec
+}ifelse
+{
+dup 16#00030001 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Windows Unicode.)=
+}if
+16#00030001//GetTTEncoding exec
+AdobeGlyphList//ComposeCharStrings exec
+exit
+}if
+dup 16#00010000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Macintosh Roman.)=
+}if
+16#00010000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+dup 16#00030000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding 3.0 - not sure why Ghostscript writes it since old versions.)=
+}if
+16#00030000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+mark(True Type cmap has no useful encodings.)//error exec
+}loop
+//PDFR_DEBUG{
+(CharStrings <<)=
+dup{
+exch
+dup type/nametype eq{
+//=only exec
+}{
+==
+}ifelse
+( )print ==
+}forall
+(>>)=
+}if
+}bind def
+/ScaleVal
+{
+aload pop
+1 index sub
+3 2 roll mul add
+}bind def
+/ScaleArg
+{
+aload pop
+1 index sub
+3 1 roll
+sub exch div
+}bind def
+/ScaleArgN
+{
+dup length 2 sub -2 0{
+2
+2 index 3 1 roll getinterval
+3 2 roll
+exch//ScaleArg exec
+1 index length 2 idiv 1 add 1 roll
+}for
+pop
+}bind def
+/ComputeFunction_10
+{
+//PDFR_DEBUG{
+(ComputeFunction_10 beg )print 1 index//=only exec( stack=)print count =
+}if
+exch
+dup 1 eq{
+pop dup length 1 sub get
+}{
+1 index length 1 sub mul
+dup dup floor sub
+dup 0 eq{
+pop cvi get
+}{
+3 1 roll floor cvi
+2 getinterval
+aload pop
+2 index mul 3 2 roll 1 exch sub 3 2 roll mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_10 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/ComputeFunction_n0
+{
+//PDFR_DEBUG{
+(ComputeFunction_n0 beg N=)print dup//=only exec( stack=)print count =
+}if
+dup 0 eq{
+pop
+}{
+dup 2 add -1 roll
+dup 3 index length 1 sub ge{
+pop 1 sub
+exch dup length 1 sub get exch
+//PDFReader/ComputeFunction_n0 get exec
+}{
+dup floor cvi dup
+4 index exch get
+3 index dup
+5 add copy
+6 2 roll
+pop pop pop pop
+1 sub
+//PDFReader/ComputeFunction_n0 get exec
+3 2 roll pop
+exch
+4 3 roll exch
+4 add 2 roll 1 add
+3 2 roll exch get
+exch 1 sub
+//PDFReader/ComputeFunction_n0 get exec
+1 index mul
+3 1 roll
+1 exch sub mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_n0 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/FunctionToProc_x01
+{
+dup/Domain get exch
+dup/Data get 0 get exch
+/Size get length
+[4 1 roll
+//PDFR_DEBUG{
+{(function beg, stack =)print count//=only exec(\n)print}/exec load
+5 2 roll
+}if
+dup 1 gt{
+{mark exch
+3 add 2 roll
+//ScaleArgN exec
+counttomark dup
+3 add -2 roll
+pop exch
+//ComputeFunction_n0 exec
+}/exec load
+}{
+pop
+3 1/roll load//ScaleArg/exec load
+/exch load
+//ComputeFunction_10/exec load
+}ifelse
+//PDFR_DEBUG{
+(function end, stack =)/print load/count load//=only/exec load(\n)/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Made a procedure for the 1-result function :)=
+dup ==
+}if
+}bind def
+/FunctionProcDebugBeg
+{(FunctionProcDebugBeg )print count =
+}bind def
+/FunctionProcDebugEnd
+{(FunctionProcDebugEnd )print count =
+}bind def
+/FunctionToProc_x0n
+{
+PDFR_DEBUG{
+(FunctionToProc_x0n beg m=)print dup =
+}if
+1 index/Size get length exch
+dup 7 mul 2 add array
+PDFR_DEBUG{
+dup 0//FunctionProcDebugBeg put
+}{
+dup 0//DoNothing put
+}ifelse
+dup 1/exec load put
+dup 2 5 index/Domain get put
+2 index 1 eq{
+dup 3//ScaleArg put
+}{
+dup 3//ScaleArgN put
+}ifelse
+dup 4/exec load put
+1 index 1 sub 0 exch 1 exch{
+dup 7 mul 5 add
+1 index 4 index 1 sub ne{
+dup 3 index exch 6 index put 1 add
+dup 3 index exch/copy load put 1 add
+}if
+[
+6 index/Data get 3 index get
+6 index 1 eq{
+//ComputeFunction_10/exec load
+}{
+6 index
+//ComputeFunction_n0/exec load
+}ifelse
+]cvx
+3 index exch 2 index exch put 1 add
+2 index 1 index/exec load put 1 add
+1 index 4 index 1 sub ne{
+2 index 1 index 6 index 1 add put 1 add
+2 index 1 index 1 put 1 add
+2 index 1 index/roll load put
+}if
+pop pop
+}for
+PDFR_DEBUG{
+dup dup length 2 sub//FunctionProcDebugEnd put
+}{
+dup dup length 2 sub//DoNothing put
+}ifelse
+dup dup length 1 sub/exec load put
+cvx exch pop exch pop exch pop
+//PDFR_DEBUG{
+(Made a procedure for the n-argument function :)=
+dup ==
+}if
+PDFR_DEBUG{
+(FunctionToProc_x0n end)=
+}if
+}bind def
+/MakeTableRec
+{
+0
+exec
+}bind def
+/MakeTable
+{//PDFR_DEBUG{
+(MakeTable beg )print count =
+}if
+1 index/Size get exch
+1 sub dup
+3 1 roll
+get
+array
+1 index 0 eq{
+exch pop exch pop
+}{
+dup length 1 sub -1 0{
+3 index 3 index//MakeTableRec exec
+2 index 3 1 roll put
+}for
+exch pop exch pop
+}ifelse
+//PDFR_DEBUG{
+(MakeTable end )print count =
+}if
+}bind def
+//MakeTableRec 0//MakeTable put
+/StoreSample
+{
+1 sub
+dup 0 eq{
+pop
+}{
+-1 1{
+I exch get get
+}for
+}ifelse
+I 0 get 3 2 roll put
+}bind def
+/ReadSample32
+{
+4{
+File read not{
+mark(Insufficient data for function.)//error exec
+}if
+}repeat
+pop
+3 1 roll exch
+256 mul add 256 mul add
+//1_24_bitshift_1_sub div
+}bind def
+/ReadSample
+{
+Buffer BitsLeft BitsPerSample
+{2 copy ge{
+exit
+}if
+3 1 roll
+8 add 3 1 roll
+256 mul File read not{
+mark(Insufficient data for function.)//error exec
+}if
+add
+3 1 roll
+}loop
+sub dup
+2 index exch
+neg bitshift
+2 copy exch bitshift
+4 3 roll exch sub
+/Buffer exch def
+exch/BitsLeft exch def
+Div div
+}bind def
+/ReadSamplesRec
+{0
+exec
+}bind def
+/ReadSamples
+{
+//PDFR_DEBUG{
+(ReadSamples beg )print count =
+}if
+dup 1 eq{
+pop
+0 1 Size 0 get 1 sub{
+I exch 0 exch put
+0 1 M 1 sub{
+dup Range exch 2 mul 2 getinterval
+//PDFR_DEBUG{
+(Will read a sample ... )print
+}if
+BitsPerSample 32 eq{//ReadSample32}{//ReadSample}ifelse
+exec exch//ScaleVal exec
+//PDFR_DEBUG{
+(value=)print dup =
+}if
+exch Table exch get
+Size length//StoreSample exec
+}for
+}for
+}{
+1 sub
+dup Size exch get 0 exch 1 exch 1 sub{
+I exch 2 index exch put
+dup//ReadSamplesRec exec
+}for
+pop
+}ifelse
+//PDFR_DEBUG{
+(ReadSamples end )print count =
+}if
+}bind def
+//ReadSamplesRec 0//ReadSamples put
+/StreamToArray
+{//PDFR_DEBUG{
+(StreamToArray beg )print count =
+}if
+userdict/FuncDataReader get begin
+dup/BitsPerSample get/BitsPerSample exch def
+dup/Size get length/N exch def
+dup/Range get length 2 idiv/M exch def
+1 BitsPerSample bitshift 1 sub/Div exch def
+/BitsLeft 0 def
+/Buffer 0 def
+dup/Size get/Size exch def
+dup/Range get/Range exch def
+/File 1 index//MakeStreamReader exec def
+/I[N{0}repeat]def
+M array
+dup length 1 sub -1 0{
+2 index N//MakeTable exec
+2 index 3 1 roll put
+}for
+/Table exch def
+N//ReadSamples exec
+PDFR_DEBUG{
+(Table = )print Table ==
+}if
+/Data Table put
+end
+//PDFR_DEBUG{
+(StreamToArray end )print count =
+}if
+}bind def
+/FunctionToProc10
+{
+PDFR_DEBUG{
+(FunctionToProc10 beg, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+PDFR_DEBUG{
+(FunctionToProc10 end)=
+}if
+}bind def
+/FunctionToProc12
+{begin
+currentdict/C0//knownget exec{length 1 eq}{true}ifelse{
+N
+currentdict/C0//knownget exec{
+0 get
+}{
+0
+}ifelse
+currentdict/C1//knownget exec{
+0 get
+}{
+1
+}ifelse
+1 index sub
+[4 1 roll
+{
+4 2 roll
+exp mul add
+}aload pop
+]cvx
+}{
+[
+0 1 C0 length 1 sub{
+N
+C0 2 index get
+C1 3 index get
+4 3 roll pop
+1 index sub
+[/dup load
+5 2 roll
+{
+4 2 roll
+exp mul add
+exch
+}aload pop
+]cvx
+/exec load
+}for
+/pop load
+]cvx
+}ifelse
+end
+//PDFR_DEBUG{
+(FunctionType2Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc14
+{//MakeStreamReader exec cvx exec
+//PDFR_DEBUG{
+(FunctionType4Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc1
+{
+dup/FunctionType get
+{dup 0 eq{
+pop//FunctionToProc10 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc12 exec exit
+}if
+dup 4 eq{
+pop//FunctionToProc14 exec exit
+}if
+mark exch(Function type )exch( isn't implemented yet.)//error exec
+}loop
+}bind def
+/FunctionToProc20
+{
+PDFR_DEBUG{
+(FunctionToProc20, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+}bind def
+/FunctionToProc
+{//PDFR_DEBUG{
+(FunctionToProc beg )print count =
+}if
+dup type/dicttype eq{
+dup/Domain get length 2 idiv
+{
+dup 1 eq{
+pop//FunctionToProc1 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc20 exec exit
+}if
+mark(Functions with many arguments aren't implemented yet.)//error exec
+}loop
+}{
+//PDFR_DEBUG{(Not a function dict, assume already a procedure.)print}if
+}ifelse
+//PDFR_DEBUG{
+(FunctionToProc end )print count =
+}if
+}bind def
+/spotfunctions mark
+/Round{
+abs exch abs 2 copy add 1 le{
+dup mul exch dup mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}
+/Diamond{
+abs exch abs 2 copy add .75 le{
+dup mul exch dup mul add 1 exch sub
+}{
+2 copy add 1.23 le{
+.85 mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}ifelse
+}
+/Ellipse{
+abs exch abs 2 copy 3 mul exch 4 mul add 3 sub dup 0 lt{
+pop dup mul exch .75 div dup mul add 4 div 1 exch sub
+}{
+dup 1 gt{
+pop 1 exch sub dup mul exch 1 exch sub
+.75 div dup mul add 4 div 1 sub
+}{
+.5 exch sub exch pop exch pop
+}ifelse
+}ifelse
+}
+/EllipseA{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseA{dup mul .9 mul exch dup mul add 1 sub}
+/EllipseB{dup 5 mul 8 div mul exch dup mul exch add sqrt 1 exch sub}
+/EllipseC{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseC{dup mul .9 mul exch dup mul add 1 sub}
+/Line{exch pop abs neg}
+/LineX{pop}
+/LineY{exch pop}
+/Square{abs exch abs 2 copy lt{exch}if pop neg}
+/Cross{abs exch abs 2 copy gt{exch}if pop neg}
+/Rhomboid{abs exch abs 0.9 mul add 2 div}
+/DoubleDot{2{360 mul sin 2 div exch}repeat add}
+/InvertedDoubleDot{2{360 mul sin 2 div exch}repeat add neg}
+/SimpleDot{dup mul exch dup mul add 1 exch sub}
+/InvertedSimpleDot{dup mul exch dup mul add 1 sub}
+/CosineDot{180 mul cos exch 180 mul cos add 2 div}
+/Double{exch 2 div exch 2{360 mul sin 2 div exch}repeat add}
+/InvertedDouble{
+exch 2 div exch 2{360 mul sin 2 div exch}repeat add neg
+}
+.dicttomark readonly def
+/CheckColorSpace
+{
+dup type/arraytype ne{
+mark(Resource )3 index( must be an array.)//error exec
+}if
+}bind def
+/SubstitutePDFColorSpaceRec
+{0
+exec
+}bind def
+/SubstitutePDFColorSpace
+{
+{
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup dup 1//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+1 exch put
+}if
+exit
+}if
+dup 0 get/Indexed eq{
+exit
+}if
+dup 0 get/Separation eq{
+dup dup 2//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+2 exch put
+exit
+}if
+dup 0 get/CalGray eq{
+1 get
+dup/Gamma//knownget exec{
+[exch[exch/exp load]cvx dup dup]
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedA exch]
+exit
+}if
+dup 0 get/CalRGB eq{
+1 get
+dup/Matrix//knownget exec{
+1 index exch/MatrixLMN exch put
+}if
+dup/Gamma//knownget exec{
+aload pop
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+3 array astore
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedABC exch]
+exit
+}if
+dup 0 get/Lab eq{
+1 get
+begin
+currentdict/Range//knownget exec{aload pop}{-100 100 -100 100}ifelse
+0 100 6 2 roll 6 array astore
+/RangeABC exch def
+/DecodeABC[{16 add 116 div}bind{500 div}bind{200 div}bind]def
+/MatrixABC[1 1 1 1 0 0 0 0 -1]def
+{dup 6 29 div ge{dup dup mul mul}{4 29 div sub 108 841 div mul}ifelse}
+/DecodeLMN[
+[3 index aload pop WhitePoint 0 get/mul load]cvx
+[4 index aload pop WhitePoint 1 get/mul load]cvx
+[5 index aload pop WhitePoint 2 get/mul load]cvx
+]def pop
+//PDFR_DEBUG{
+(Constructed from Lab <<)=
+currentdict{exch = ==}forall
+(>>)=
+}if
+[/CIEBasedABC currentdict]
+end
+exit
+pop
+}if
+dup 0 get/CIEBasedA eq{exit}if
+dup 0 get/CIEBasedABC eq{exit}if
+mark exch(Unimplemented color space )exch//error exec
+}loop
+}bind def
+//SubstitutePDFColorSpaceRec 0//SubstitutePDFColorSpace put
+/ResolveArrayElement
+{2 copy get
+dup type dup/arraytype eq exch
+/packedarraytype eq or{
+dup length 1 ge exch xcheck and{
+2 copy get
+dup 0 get type/integertype eq
+1 index 1 get type dup/arraytype
+eq exch
+/packedarraytype eq or
+and{
+exec
+2 index 4 1 roll put
+}{
+pop pop
+}ifelse
+}{
+pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/ResolveColorSpaceArrayRec
+{0
+exec
+}bind def
+/SetColorSpaceSafe
+{
+PDFR_DEBUG{
+(SetColorSpaceSafe beg)=
+}if
+currentcolorspace dup type/arraytype eq{
+1 index type/arraytype eq{
+dup length 2 index length eq{
+false exch
+dup length 0 exch 1 exch 1 sub{
+dup
+4 index exch get exch
+2 index exch get
+ne{
+exch pop true exch exit
+}if
+}for
+pop
+{
+setcolorspace
+}{
+pop
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+PDFR_DEBUG{
+(SetColorSpaceSafe end)=
+}if
+}bind def
+/ResolveColorSpaceArray
+{
+//PDFR_DEBUG{
+(ResolveColorSpaceArray beg )print dup ==
+}if
+dup 0 get/Indexed eq{
+1//ResolveArrayElement exec
+dup dup 1 get
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArrayRec exec
+1 exch put
+}{
+pop pop
+}ifelse
+}if
+dup 0 get/Separation eq{
+dup dup 1 get UnPDFEscape 1 exch put
+3//ResolveArrayElement exec
+dup 3 get//FunctionToProc exec
+2 copy 3 exch put
+pop
+}if
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup 1 get dup type/arraytype eq{
+ResolveColorSpaceArray
+1 index 1 3 -1 roll put
+}{
+pop
+}ifelse
+}if
+}if
+PDFR_DEBUG{
+(Construcrted color space :)=
+dup ==
+}if
+//PDFR_DEBUG{
+(ResolveColorSpaceArray end )print dup ==
+}if
+}bind def
+//ResolveColorSpaceArrayRec 0//ResolveColorSpaceArray put
+/ResolveColorSpace
+{
+//PDFR_DEBUG{
+(ResolveColorSpace beg )print dup =
+}if
+dup//SimpleColorSpaceNames exch known not{
+dup//PDFColorSpaces exch//knownget exec{
+exch pop
+//PDFR_DEBUG{
+(ResolveColorSpace known )=
+}if
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/ColorSpace//DoNothing//ResolveD exec
+exch//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArray exec
+dup//PDFColorSpaces 4 2 roll put
+}if
+}ifelse
+}if
+//PDFR_DEBUG{
+(ResolveColorSpace end )print dup ==
+}if
+}bind def
+/CheckPattern
+{
+dup/PatternType//knownget exec{
+dup 1 ne{
+mark(Resource )4 index( is a shading, which can't be handled at level 2. )//error exec
+}if
+pop
+}if
+dup/Type knownget{
+/Pattern ne{
+mark(Resource )4 index( must have /Type/Pattern .)//error exec
+}if
+}if
+}bind def
+/PaintProc
+{/Context get
+//RunDelayedStream exec
+}bind def
+/ResolvePattern
+{
+dup
+userdict/PDFR_Patterns get
+exch//knownget exec{
+exch pop
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Pattern//DoNothing//ResolveD exec
+exch//CheckPattern//ResolveD exec
+dup dup/Context exch put
+dup/Resources//DoNothing//ResolveD exec pop
+dup/PaintProc//PaintProc put
+gsave userdict/PDFR_InitialGS get setgstate
+currentglobal exch false setglobal
+dup/Matrix get
+makepattern
+exch setglobal
+grestore
+dup userdict/PDFR_Patterns get
+4 2 roll
+put
+}ifelse
+}bind def
+/SetColor
+{//PDFR_DEBUG{
+(SetColor beg)=
+}if
+currentcolorspace dup type/nametype eq{
+pop setcolor
+}{
+0 get/Pattern eq{
+//ResolvePattern exec setpattern
+}{
+setcolor
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(SetColor end)=
+}if
+}bind def
+/ImageKeys 15 dict begin
+/BPC/BitsPerComponent def
+/CS/ColorSpace def
+/D/Decode def
+/DP/DecodeParms def
+/F/Filter def
+/H/Height def
+/IM/ImageMask def
+/I/Interpolate def
+/W/Width def
+currentdict end readonly def
+/ImageValues 15 dict begin
+/G/DeviceGray def
+/RGB/DeviceRGB def
+/CMYK/DeviceCMYK def
+/I/Indexed def
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/GetColorSpaceRange
+{2 index/ColorSpace get
+dup type/arraytype eq{
+1 get
+}if
+exch//knownget exec{
+exch pop
+}if
+}bind def
+/DecodeArrays 15 dict begin
+/DeviceGray{[0 1]}def
+/DeviceRGB{[0 1 0 1 0 1]}def
+/DeviceCMYK{[0 1 0 1 0 1 0 1]}def
+/Indexed{
+dup/BitsPerComponent get 1 exch bitshift 1 sub[exch 0 exch]
+}def
+/Separation{[0 1]}def
+/CIEBasedA{[0 1]/RangeA//GetColorSpaceRange exec}def
+/CIEBasedABC{[0 1 0 1 0 1]/RangeABC//GetColorSpaceRange exec}def
+currentdict end readonly def
+/Substitute
+{1 index//knownget exec{
+exch pop
+}if
+}bind def
+/DebugImagePrinting
+{
+//PDFR_DEBUG{
+(Image :)=
+dup{exch//=only exec( )print ==
+}forall
+}if
+}bind def
+/CompleteImage
+{
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec pop
+}if
+dup/Decode known not{
+dup/ColorSpace//knownget exec{
+dup type/arraytype eq{
+0 get
+}if
+//DecodeArrays exch get exec
+}{
+[0 1]
+}ifelse
+1 index exch/Decode exch put
+}if
+dup/ImageMatrix[2 index/Width get 0 0 5 index/Height get neg
+0 7 index/Height get]put
+//DebugImagePrinting exec
+}bind def
+/CompleteInlineImage
+{
+//PDFR_DEBUG{
+(CompleteInlineImage beg)=
+}if
+dup/ImageType known not{
+dup/ImageType 1 put
+}if
+dup length dict exch{
+exch//ImageKeys//Substitute exec
+dup/Filter eq{
+exch//ImageValues//Substitute exec exch
+}if
+dup/ColorSpace eq{
+exch
+dup//ImageValues exch//knownget exec{
+exch pop
+}{
+//ResolveColorSpace exec
+}ifelse
+exch
+}if
+exch
+2 index 3 1 roll put
+}forall
+//CompleteImage exec
+dup/DataSource 2 copy get
+2 index//AppendFilters exec put
+//PDFR_DEBUG{
+(CompleteInlineImage end)=
+}if
+}bind def
+/CompleteOutlineImage
+{
+currentglobal exch dup gcheck setglobal
+//PDFR_DEBUG{
+(CompleteOutlineImage beg)=
+}if
+dup dup//MakeStreamReader exec/DataSource exch put
+dup/ImageType known not{
+//CompleteImage exec
+dup/ImageType 1 put
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//ResolveColorSpaceArray exec
+//SubstitutePDFColorSpace exec
+1 index exch/ColorSpace exch put
+}{
+pop
+}ifelse
+}if
+}if
+//PDFR_DEBUG{
+(CompleteOutlineImage end)=
+}if
+exch setglobal
+}bind def
+/DoImage
+{
+//PDFR_DEBUG{
+(DoImage beg)=
+}if
+gsave
+dup/ColorSpace//knownget exec{setcolorspace}if
+dup/ImageMask//knownget exec not{false}if
+{imagemask}{image}ifelse
+grestore
+//PDFR_DEBUG{
+(DoImage end)=
+}if
+}bind def
+/GSave
+{
+gsave
+//PDFReader/GraphicStateStackPointer get
+dup//GraphicStateStack exch get null eq{
+dup//GraphicStateStack exch//InitialGraphicState length dict put
+}if
+dup//GraphicStateStack exch get
+//GraphicState exch copy pop
+1 add//PDFReader exch/GraphicStateStackPointer exch put
+}bind def
+/GRestore
+{
+grestore
+//PDFReader/GraphicStateStackPointer get
+1 sub dup
+//PDFReader exch/GraphicStateStackPointer exch put
+//GraphicStateStack exch get
+//GraphicState copy pop
+}bind def
+/SetFont
+{dup//GraphicState exch/FontSize exch put
+//ResolveAndSetFont exec
+//GraphicState/FontMatrixNonHV currentfont/FontMatrix get 1 get 0 ne put
+}bind def
+/ShowText
+{
+//GraphicState/TextRenderingMode get dup 0 eq
+exch 3 eq not currentfont/FontType get 3 eq and or
+{
+//GraphicState/WordSpacing get 0
+32
+//GraphicState/CharacterSpacing get 0
+6 5 roll
+//GraphicState/FontMatrixNonHV get{
+[
+7 -2 roll pop
+5 -2 roll pop
+5 -1 roll
+{
+exch
+pop
+3 index add
+exch 2 index eq{3 index add}if
+4 1 roll
+}
+currentfont/FontMatrix get 0 get 0 ne{
+1 1 index length 1 sub getinterval cvx
+}if
+5 index
+cshow
+pop pop pop]
+xshow
+}{
+awidthshow
+}ifelse
+}{
+//GraphicState/CharacterSpacing get 0 eq
+//GraphicState/FontMatrixNonHV get not and
+//GraphicState/WordSpacing get 0 eq and{
+true charpath
+}{
+{
+exch
+pop 0
+currentpoint 5 4 roll
+( )dup 0 3 index put true charpath
+5 1 roll
+moveto rmoveto
+//GraphicState/CharacterSpacing get 0 rmoveto
+32 eq{
+//GraphicState/WordSpacing get 0 rmoveto
+}if
+}
+//GraphicState/FontMatrixNonHV get dup not exch{
+pop currentfont/FontMatrix get 0 get 0 ne
+}if{
+1 1 index length 1 sub getinterval cvx
+}if
+exch cshow
+}ifelse
+}ifelse
+}bind def
+/ShowTextBeg
+{
+//GraphicState/TextRenderingMode get dup 0 ne
+{
+3 ne
+currentfont/FontType get 3 eq not and{
+currentpoint newpath moveto
+}if
+}
+{
+pop
+}ifelse
+}bind def
+/ShowTextEnd
+{
+//GraphicState/TextRenderingMode get
+currentfont/FontType get 3 eq{
+dup 3 ne{
+pop 0
+}if
+}if
+{dup 1 eq{
+stroke exit
+}if
+dup 2 eq{
+gsave fill grestore stroke exit
+}if
+dup 3 eq{
+currentpoint newpath moveto
+}if
+dup 4 eq{
+gsave fill grestore clip exit
+}if
+dup 5 eq{
+gsave stroke grestore clip exit
+}if
+dup 6 eq{
+gsave fill grestore gsave stroke grestore fill exit
+}if
+dup 7 eq{
+clip exit
+}if
+exit
+}loop
+pop
+}bind def
+/ShowTextWithGlyphPositioning
+{//ShowTextBeg exec
+{dup type/stringtype eq{
+//ShowText exec
+}{
+neg 1000 div//GraphicState/FontSize get mul 0 rmoveto
+}ifelse
+}forall
+//ShowTextEnd exec
+}bind def
+/CheckFont
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/SetTransfer
+{
+//PDFR_DEBUG{(SetTransfer beg )print count =}if
+dup type/arraytype eq 1 index xcheck not and{
+0 4 getinterval aload pop
+setcolortransfer
+}{
+settransfer
+}ifelse
+//PDFR_DEBUG{(SetTransfer end )print count =}if
+}bind def
+/CheckExtGState
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/CheckHalftone
+{dup/HalftoneType known not{
+mark(Resource )3 index( must have /HalftoneType.)//error exec
+}if
+}bind def
+/ResolveFunction
+{
+//PDFR_DEBUG{(ResolveFunction beg )print dup = count =}if
+2 copy get//IsObjRef exec{
+2 copy//DoNothing//ResolveD exec
+3 copy put pop
+}if
+2 copy get dup type/arraytype eq exch xcheck and not{
+2 copy get
+dup type/arraytype eq 1 index xcheck not and{
+dup length 1 sub -1 0{
+2 copy//DoNothing ResolveA
+dup/Identity eq{
+pop 2 copy{}put
+}{
+//FunctionToProc exec
+3 copy put pop
+}ifelse
+pop
+}for
+}{
+dup/Default eq{
+}{
+dup/Identity eq{
+pop{}
+}{dup type/nametype eq{
+//spotfunctions exch get
+}{
+//FunctionToProc exec
+}ifelse
+}ifelse
+}ifelse
+}ifelse
+3 copy put
+exch pop
+}{
+1 index exch get
+}ifelse
+//PDFR_DEBUG{(ResolveFunction end )print dup == count =}if
+}bind def
+/ResolveFunctionSafe
+{2 copy known{
+//ResolveFunction exec
+}if
+pop
+}bind def
+/CreateHalftoneThresholds
+{
+dup/Thresholds known not{
+dup/HalftoneType get 10 eq{
+dup dup//MakeStreamReader exec
+/Thresholds exch put
+}if
+dup/HalftoneType get dup 3 eq exch 6 eq or{
+dup dup//MakeStreamReader exec
+//BlockBuffer readstring pop
+dup length
+dup 0 eq{
+mark(Could not read Thresholds)//error exec
+}if
+string copy/Thresholds exch put
+dup/HalftoneType 3 put
+}if
+}if
+}bind def
+/SetExtGState
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/ExtGState//DoNothing//ResolveD exec
+exch//CheckExtGState//ResolveD exec
+dup/LW//knownget exec{
+setlinewidth
+}if
+dup/LC//knownget exec{
+setlinecap
+}if
+dup/LJ//knownget exec{
+setlinejoin
+}if
+dup/ML//knownget exec{
+setmeterlimit
+}if
+dup/D//knownget exec{
+setdash
+}if
+dup/RI//knownget exec{
+mark(Unimplemented ExtGState.RI)//error exec
+}if
+dup/OP//knownget exec{
+setoverprint
+}if
+dup/op//knownget exec{
+setoverprint
+}if
+dup/OPM//knownget exec{
+mark(Unimplemented ExtGState.OPM)//error exec
+}if
+dup/Font//knownget exec{
+mark(Unimplemented ExtGState.Font)//error exec
+}if
+dup/BG known{
+/BG//ResolveFunction exec
+setblackgeneration
+}if
+dup/BG2 known{
+/BG2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/BG2 get
+}if
+setblackgeneration
+}if
+dup/UCR known{
+/UCR//ResolveFunction exec
+setundercolorremoval
+}if
+dup/UCR2 known{
+/UCR2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/UCR2 get
+}if
+setundercolorremoval
+}if
+dup/TR known{
+/TR//ResolveFunction exec
+//SetTransfer exec
+}if
+dup/TR2 known{
+/TR2//ResolveFunction exec
+dup/Default eq{
+pop//InitialExtGState/TR2 get
+aload pop setcolortransfer
+}{
+//SetTransfer exec
+}ifelse
+}if
+dup/HT//knownget exec{
+dup/Default eq{
+pop//InitialExtGState/HT get
+sethalftone
+}{
+//PDFR_DEBUG{(Ht beg)=}if
+pop dup/HT//CheckHalftone//ResolveD exec
+/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+null exch
+dup/HalftoneType get dup 5 eq exch dup 4 eq exch 2 eq or or{
+dup{
+dup//IsObjRef exec{
+pop
+1 index exch//CheckHalftone ResolveD
+}if
+dup type/dicttype eq{
+dup/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+//CreateHalftoneThresholds exec
+dup/HalftoneType get 5 gt{
+4 3 roll pop
+dup 4 1 roll
+}if
+}if
+pop pop
+}forall
+}if
+//CreateHalftoneThresholds exec
+//PDFR_DEBUG{
+(HT:)=
+dup{
+1 index/Default eq{
+(Default <<)=
+exch pop
+{exch = ==}forall
+(>>)=
+}{
+exch = ==
+}ifelse
+}forall
+(HT end)= flush
+}if
+exch dup null ne{
+(Warning: Ignoring a halftone with a Level 3 component halftone Type )print dup/HalftoneType get =
+pop pop
+}{
+pop
+dup/HalftoneType get 5 gt{
+(Warning: Ignoring a Level 3 halftone Type )print dup/HalftoneType get =
+pop
+}{
+sethalftone
+}ifelse
+}ifelse
+//PDFR_DEBUG{(HT set)= flush}if
+}ifelse
+}if
+dup/FL//knownget exec{
+setflattness
+}if
+dup/SM//knownget exec{
+setsmoothness
+}if
+dup/SA//knownget exec{
+setstrokeadjust
+}if
+dup/BM//knownget exec{
+mark(Unimplemented ExtGState.BM)//error exec
+}if
+dup/SMask//knownget exec{
+mark(Unimplemented ExtGState.SMask)//error exec
+}if
+dup/CA//knownget exec{
+mark(Unimplemented ExtGState.CA)//error exec
+}if
+dup/ca//knownget exec{
+mark(Unimplemented ExtGState.ca)//error exec
+}if
+dup/AIS//knownget exec{
+mark(Unimplemented ExtGState.AIS)//error exec
+}if
+dup/TK//knownget exec{
+mark(Unimplemented ExtGState.TK)//error exec
+}if
+pop
+}bind def
+/CheckXObject
+{dup/Subtype get dup/Image ne exch dup/Form ne exch/PS ne and and{
+mark(Resource )3 index( must have /Subtype /Image or /Form or /PS.)//error exec
+}if
+}bind def
+/DoXObject
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/XObject//DoNothing//ResolveD exec
+exch//CheckXObject//ResolveD exec
+dup/Subtype get
+dup/Image eq{
+pop
+//CompleteOutlineImage exec
+//DoImage exec
+}{
+dup/PS eq{
+PDFR_DEBUG{
+(Executing a PS Xobject)=
+}if
+pop
+//RunDelayedStream exec
+}{
+dup/Form eq{
+pop
+PDFR_DEBUG{
+(Executing a Form XObject)=
+}if
+//PDFReader/CurrentObject get exch
+dup//PDFReader exch<< exch/Context exch >>/CurrentObject exch put
+dup/Matrix get concat
+dup/BBox get aload pop exch 3 index sub exch 2 index sub rectclip
+//RunDelayedStream exec
+//PDFReader exch/CurrentObject exch put
+}{
+mark exch(unimplemented XObject type )exch//error exec
+}ifelse
+}ifelse
+}ifelse
+}bind def
+/Operators 50 dict begin
+/q{//GSave exec}bind def
+/Q{//GRestore exec}bind def
+/cm{//TempMatrix astore concat}bind def
+/i{1 .min setflat}bind def
+/J/setlinecap load def
+/d/setdash load def
+/j/setlinejoin load def
+/w/setlinewidth load def
+/M/setmiterlimit load def
+/gs{SetExtGState}bind def
+/g/setgray load def
+/rg/setrgbcolor load def
+/k/setcmykcolor load def
+/cs{//ResolveColorSpace exec//SetColorSpaceSafe exec
+}bind def
+/sc/setcolor load def
+/scn{//SetColor exec}bind def
+/G/setgray load def
+/RG/setrgbcolor load def
+/K/setcmykcolor load def
+/CS//cs def
+/ri{SetColorRenderingIntent}bind def
+/SC/setcolor load def
+/SCN{//SetColor exec}bind def
+/m/moveto load def
+/l/lineto load def
+/c/curveto load def
+/v{currentpoint 6 2 roll curveto}bind def
+/y{2 copy curveto}bind def
+/re{
+4 2 roll moveto exch dup 0 rlineto 0 3 -1 roll rlineto neg 0 rlineto
+closepath
+}def
+/h/closepath load def
+/n/newpath load def
+/S/stroke load def
+/s{closepath stroke}bind def
+/f/fill load def
+/f*/eofill load def
+/B{gsave fill grestore stroke}bind def
+/b{closepath gsave fill grestore stroke}bind def
+/B*{gsave eofill grestore stroke}bind def
+/b*{closepath gsave eofill grestore stroke}bind def
+/W/clip load def
+/W*/eoclip load def
+/sh{
+ResolveShading
+dup/Background known{
+gsave
+dup/ColorSpace get setcolorspace
+dup/Background get aload pop setcolor
+pathbbox
+2 index sub exch 3 index sub exch
+rectfill
+grestore
+}if
+shfill
+}bind def
+/Do{//DoXObject exec}bind def
+/BI{currentglobal false setglobal<<}bind def
+/ID{>>
+dup/DataSource currentfile
+2 index/F//knownget exec{
+/A85 eq{
+0(~>)/SubFileDecode filter
+}if
+}if
+put
+//CompleteInlineImage exec
+exch setglobal
+//DoImage exec
+}bind def
+/EI{}bind def
+/BT{gsave//GraphicState/InitialTextMatrix get currentmatrix pop}bind def
+/ET{grestore}bind def
+/Tc{//GraphicState exch/CharacterSpacing exch put}bind def
+/TL{//GraphicState exch/TextLeading exch put}bind def
+/Tr{//GraphicState exch/TextRenderingMode exch put}bind def
+/Ts{
+mark(Unimplemented SetTextRise)//error exec
+}bind def
+/Tw{//GraphicState exch/WordSpacing exch put}bind def
+/Tz{
+mark(Unimplemented SetHorizontalTextScaling)//error exec
+}bind def
+/Td{translate 0 0 moveto}bind def
+/TD{dup neg//TL exec//Td exec}bind def
+/Tm{//GraphicState/InitialTextMatrix get setmatrix
+//TempMatrix astore concat
+0 0 moveto}bind def
+/T*{0//GraphicState/TextLeading get neg//Td exec}bind def
+/Tj{//ShowTextBeg exec//ShowText exec//ShowTextEnd exec}bind def
+/'{//T* exec//ShowText exec//ShowTextEnd exec}bind def
+/"{3 2 roll//Tw exec exch//Tc exec//' exec}bind def
+/TJ//ShowTextWithGlyphPositioning def
+/Tf//SetFont def
+/d0/setcharwidth load def
+/d1/setcachedevice load def
+/BDC{pop pop}bind def
+/BMC{pop}bind def
+/EMC{}bind def
+/BX{BeginCompatibilitySection}bind def
+/EX{EndCompatibilitySection}bind def
+/DP{DefineMarkedContentPointWithPropertyList}bind def
+/MP{DefineMarkedContentPoint}bind def
+/PS{cvx exec}bind def
+currentdict end def
+//PDFR_STREAM{
+//Operators length dict begin
+//Operators{
+exch dup
+[exch//=only/exec load
+( )/print load
+8 7 roll
+dup type/arraytype eq{
+/exec load
+}if
+( )/print load
+]cvx
+def
+}forall
+currentdict end/Operators exch def
+}if
+/.registerencoding
+{pop pop
+}bind def
+/.defineencoding
+{def
+}bind def
+/.findencoding
+{load
+}bind def
+/currentglobal where
+{pop currentglobal{setglobal}true setglobal}
+{{}}
+ifelse
+/MacRomanEncoding
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+256 packedarray
+5 1 index .registerencoding
+.defineencoding
+exec
+/AdobeGlyphList mark
+/A 16#0041
+/AE 16#00c6
+/AEacute 16#01fc
+/AEmacron 16#01e2
+/AEsmall 16#f7e6
+/Aacute 16#00c1
+/Aacutesmall 16#f7e1
+/Abreve 16#0102
+/Abreveacute 16#1eae
+/Abrevecyrillic 16#04d0
+/Abrevedotbelow 16#1eb6
+/Abrevegrave 16#1eb0
+/Abrevehookabove 16#1eb2
+/Abrevetilde 16#1eb4
+/Acaron 16#01cd
+/Acircle 16#24b6
+/Acircumflex 16#00c2
+/Acircumflexacute 16#1ea4
+/Acircumflexdotbelow 16#1eac
+/Acircumflexgrave 16#1ea6
+/Acircumflexhookabove 16#1ea8
+/Acircumflexsmall 16#f7e2
+/Acircumflextilde 16#1eaa
+/Acute 16#f6c9
+/Acutesmall 16#f7b4
+/Acyrillic 16#0410
+/Adblgrave 16#0200
+/Adieresis 16#00c4
+/Adieresiscyrillic 16#04d2
+/Adieresismacron 16#01de
+/Adieresissmall 16#f7e4
+/Adotbelow 16#1ea0
+/Adotmacron 16#01e0
+/Agrave 16#00c0
+/Agravesmall 16#f7e0
+/Ahookabove 16#1ea2
+/Aiecyrillic 16#04d4
+/Ainvertedbreve 16#0202
+/Alpha 16#0391
+/Alphatonos 16#0386
+/Amacron 16#0100
+/Amonospace 16#ff21
+/Aogonek 16#0104
+/Aring 16#00c5
+/Aringacute 16#01fa
+/Aringbelow 16#1e00
+/Aringsmall 16#f7e5
+/Asmall 16#f761
+/Atilde 16#00c3
+/Atildesmall 16#f7e3
+/Aybarmenian 16#0531
+/B 16#0042
+/Bcircle 16#24b7
+/Bdotaccent 16#1e02
+/Bdotbelow 16#1e04
+/Becyrillic 16#0411
+/Benarmenian 16#0532
+/Beta 16#0392
+/Bhook 16#0181
+/Blinebelow 16#1e06
+/Bmonospace 16#ff22
+/Brevesmall 16#f6f4
+/Bsmall 16#f762
+/Btopbar 16#0182
+/C 16#0043
+/Caarmenian 16#053e
+/Cacute 16#0106
+/Caron 16#f6ca
+/Caronsmall 16#f6f5
+/Ccaron 16#010c
+/Ccedilla 16#00c7
+/Ccedillaacute 16#1e08
+/Ccedillasmall 16#f7e7
+/Ccircle 16#24b8
+/Ccircumflex 16#0108
+/Cdot 16#010a
+/Cdotaccent 16#010a
+/Cedillasmall 16#f7b8
+/Chaarmenian 16#0549
+/Cheabkhasiancyrillic 16#04bc
+/Checyrillic 16#0427
+/Chedescenderabkhasiancyrillic 16#04be
+/Chedescendercyrillic 16#04b6
+/Chedieresiscyrillic 16#04f4
+/Cheharmenian 16#0543
+/Chekhakassiancyrillic 16#04cb
+/Cheverticalstrokecyrillic 16#04b8
+/Chi 16#03a7
+/Chook 16#0187
+/Circumflexsmall 16#f6f6
+/Cmonospace 16#ff23
+/Coarmenian 16#0551
+/Csmall 16#f763
+/D 16#0044
+/DZ 16#01f1
+/DZcaron 16#01c4
+/Daarmenian 16#0534
+/Dafrican 16#0189
+/Dcaron 16#010e
+/Dcedilla 16#1e10
+/Dcircle 16#24b9
+/Dcircumflexbelow 16#1e12
+/Dcroat 16#0110
+/Ddotaccent 16#1e0a
+/Ddotbelow 16#1e0c
+/Decyrillic 16#0414
+/Deicoptic 16#03ee
+/Delta 16#2206
+/Deltagreek 16#0394
+/Dhook 16#018a
+/Dieresis 16#f6cb
+/DieresisAcute 16#f6cc
+/DieresisGrave 16#f6cd
+/Dieresissmall 16#f7a8
+/Digammagreek 16#03dc
+/Djecyrillic 16#0402
+/Dlinebelow 16#1e0e
+/Dmonospace 16#ff24
+/Dotaccentsmall 16#f6f7
+/Dslash 16#0110
+/Dsmall 16#f764
+/Dtopbar 16#018b
+/Dz 16#01f2
+/Dzcaron 16#01c5
+/Dzeabkhasiancyrillic 16#04e0
+/Dzecyrillic 16#0405
+/Dzhecyrillic 16#040f
+/E 16#0045
+/Eacute 16#00c9
+/Eacutesmall 16#f7e9
+/Ebreve 16#0114
+/Ecaron 16#011a
+/Ecedillabreve 16#1e1c
+/Echarmenian 16#0535
+/Ecircle 16#24ba
+/Ecircumflex 16#00ca
+/Ecircumflexacute 16#1ebe
+/Ecircumflexbelow 16#1e18
+/Ecircumflexdotbelow 16#1ec6
+/Ecircumflexgrave 16#1ec0
+/Ecircumflexhookabove 16#1ec2
+/Ecircumflexsmall 16#f7ea
+/Ecircumflextilde 16#1ec4
+/Ecyrillic 16#0404
+/Edblgrave 16#0204
+/Edieresis 16#00cb
+/Edieresissmall 16#f7eb
+/Edot 16#0116
+/Edotaccent 16#0116
+/Edotbelow 16#1eb8
+/Efcyrillic 16#0424
+/Egrave 16#00c8
+/Egravesmall 16#f7e8
+/Eharmenian 16#0537
+/Ehookabove 16#1eba
+/Eightroman 16#2167
+/Einvertedbreve 16#0206
+/Eiotifiedcyrillic 16#0464
+/Elcyrillic 16#041b
+/Elevenroman 16#216a
+/Emacron 16#0112
+/Emacronacute 16#1e16
+/Emacrongrave 16#1e14
+/Emcyrillic 16#041c
+/Emonospace 16#ff25
+/Encyrillic 16#041d
+/Endescendercyrillic 16#04a2
+/Eng 16#014a
+/Enghecyrillic 16#04a4
+/Enhookcyrillic 16#04c7
+/Eogonek 16#0118
+/Eopen 16#0190
+/Epsilon 16#0395
+/Epsilontonos 16#0388
+/Ercyrillic 16#0420
+/Ereversed 16#018e
+/Ereversedcyrillic 16#042d
+/Escyrillic 16#0421
+/Esdescendercyrillic 16#04aa
+/Esh 16#01a9
+/Esmall 16#f765
+/Eta 16#0397
+/Etarmenian 16#0538
+/Etatonos 16#0389
+/Eth 16#00d0
+/Ethsmall 16#f7f0
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+    <!-- $\mathrm{My ct 0}$ -->
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+    <!-- $\mathrm{My ct 90}$ -->
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+    </g>
+   </g>
+   <g id="text_7">
+    <!-- $\mathrm{My ct 180}$ -->
+    <g transform="translate(102.600188 150.051464) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_8">
+    <!-- $\mathrm{My ct 270}$ -->
+    <g transform="translate(81.291158 148.114286) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_9">
+    <!-- $\mathrm{My rt 0}$ -->
+    <g transform="translate(14.742639 105.661356) scale(0.1 -0.1)">
+     <defs>
+      <path id="CMR17-72" d="M 960 1497 
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+   <g id="text_10">
+    <!-- $\mathrm{My rt 90}$ -->
+    <g transform="translate(39.953731 130.872463) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_11">
+    <!-- $\mathrm{My rt 180}$ -->
+    <g transform="translate(83.781818 51.308607) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   </g>
+   <g id="text_12">
+    <!-- $\mathrm{My rt 270}$ -->
+    <g transform="translate(76.86332 49.371429) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_13">
+    <!-- $\mathrm{My lc 0}$ -->
+    <g transform="translate(125.672727 298.719231) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_14">
+    <!-- $\mathrm{My lc 90}$ -->
+    <g transform="translate(132.591226 312.002792) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
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+     <use xlink:href="#CMR17-30" transform="translate(244.027052 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_15">
+    <!-- $\mathrm{My lc 180}$ -->
+    <g transform="translate(204.093413 244.366483) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    </g>
+   </g>
+   <g id="text_16">
+    <!-- $\mathrm{My lc 270}$ -->
+    <g transform="translate(169.500815 228.592255) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+     <use xlink:href="#CMR17-30" transform="translate(289.71753 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_17">
+    <!-- $\mathrm{My cc 0}$ -->
+    <g transform="translate(111.558959 199.976374) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   <g id="text_18">
+    <!-- $\mathrm{My cc 90}$ -->
+    <g transform="translate(128.163387 214.09015) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+    <!-- $\mathrm{My cc 180}$ -->
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+   <g id="text_20">
+    <!-- $\mathrm{My cc 270}$ -->
+    <g transform="translate(165.072976 129.019182) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   </g>
+   <g id="text_21">
+    <!-- $\mathrm{My rc 0}$ -->
+    <g transform="translate(97.97099 101.233517) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   <g id="text_22">
+    <!-- $\mathrm{My rc 90}$ -->
+    <g transform="translate(123.735549 115.084393) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   <g id="text_23">
+    <!-- $\mathrm{My rc 180}$ -->
+    <g transform="translate(167.563636 46.880769) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+     <use xlink:href="#CMR17-30" transform="translate(300.127239 0) scale(0.996264)"/>
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+   <g id="text_24">
+    <!-- $\mathrm{My rc 270}$ -->
+    <g transform="translate(160.645138 30.539225) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
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+   <g id="text_25">
+    <!-- $\mathrm{My lb 0}$ -->
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+    <!-- $\mathrm{My lb 90}$ -->
+    <g transform="translate(216.373044 296.228571) rotate(-90) scale(0.1 -0.1)">
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+   <g id="text_27">
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+     <use xlink:href="#CMR17-6c" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(157.850915 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-32" transform="translate(224.360795 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-37" transform="translate(270.051273 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(315.74175 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_53">
+    <!-- $\mathrm{My cC 0}$ -->
+    <g transform="translate(361.52071 200.944963) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-63" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(173.465517 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(239.975397 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_54">
+    <!-- $\mathrm{My cC 90}$ -->
+    <g transform="translate(379.508842 230.002745) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-63" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(173.465517 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-39" transform="translate(239.975397 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(285.665875 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_55">
+    <!-- $\mathrm{My cC 180}$ -->
+    <g transform="translate(439.387898 146.592215) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-63" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(173.465517 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-31" transform="translate(239.975397 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-38" transform="translate(285.665875 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(331.356352 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_56">
+    <!-- $\mathrm{My cC 270}$ -->
+    <g transform="translate(416.418431 144.655037) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-63" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(173.465517 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-32" transform="translate(239.975397 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-37" transform="translate(285.665875 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(331.356352 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_57">
+    <!-- $\mathrm{My rC 0}$ -->
+    <g transform="translate(346.549037 102.202106) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-72" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(168.260624 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(234.770505 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_58">
+    <!-- $\mathrm{My rC 90}$ -->
+    <g transform="translate(375.081003 130.734088) rotate(-90) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-72" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(168.260624 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-39" transform="translate(234.770505 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(280.460982 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_59">
+    <!-- $\mathrm{My rC 180}$ -->
+    <g transform="translate(418.909091 47.849358) rotate(-180) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-72" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(168.260624 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-31" transform="translate(234.770505 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-38" transform="translate(280.460982 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(326.151459 0) scale(0.996264)"/>
+    </g>
+   </g>
+   <g id="text_60">
+    <!-- $\mathrm{My rC 270}$ -->
+    <g transform="translate(411.990593 45.912179) rotate(-270) scale(0.1 -0.1)">
+     <use xlink:href="#CMR17-4d" transform="scale(0.996264)"/>
+     <use xlink:href="#CMR17-79" transform="translate(84.686941 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-72" transform="translate(132.979856 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-43" transform="translate(168.260624 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-32" transform="translate(234.770505 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-37" transform="translate(280.460982 0) scale(0.996264)"/>
+     <use xlink:href="#CMR17-30" transform="translate(326.151459 0) scale(0.996264)"/>
+    </g>
+   </g>
+  </g>
+ </g>
+ <defs>
+  <clipPath id="p827621fd37">
+   <rect x="0" y="0" width="460.8" height="345.6"/>
+  </clipPath>
+ </defs>
+</svg>
diff --git a/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.pdf b/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.pdf
new file mode 100644
index 000000000000..4ef375771d38
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.pdf differ
diff --git a/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.png b/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.png
new file mode 100644
index 000000000000..e4a9183612f5
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_usetex/test_usetex.png differ
diff --git a/lib/matplotlib/tests/baseline_images/test_widgets/check_radio_buttons.png b/lib/matplotlib/tests/baseline_images/test_widgets/check_radio_buttons.png
new file mode 100644
index 000000000000..f0d5023008ca
Binary files /dev/null and b/lib/matplotlib/tests/baseline_images/test_widgets/check_radio_buttons.png differ
diff --git a/lib/matplotlib/tests/conftest.py b/lib/matplotlib/tests/conftest.py
new file mode 100644
index 000000000000..6afd566750e9
--- /dev/null
+++ b/lib/matplotlib/tests/conftest.py
@@ -0,0 +1,2 @@
+from matplotlib.testing.conftest import (  # noqa
+    mpl_test_settings, pytest_configure, pytest_unconfigure, pd, text_placeholders, xr)
diff --git a/lib/matplotlib/tests/data/Courier10PitchBT-Bold.pfb b/lib/matplotlib/tests/data/Courier10PitchBT-Bold.pfb
new file mode 100644
index 000000000000..88d9af2af701
Binary files /dev/null and b/lib/matplotlib/tests/data/Courier10PitchBT-Bold.pfb differ
diff --git a/lib/matplotlib/tests/data/cmr10.pfb b/lib/matplotlib/tests/data/cmr10.pfb
new file mode 100644
index 000000000000..fa8c833d374e
Binary files /dev/null and b/lib/matplotlib/tests/data/cmr10.pfb differ
diff --git a/lib/matplotlib/tests/mpltest.ttf b/lib/matplotlib/tests/data/mpltest.ttf
similarity index 100%
rename from lib/matplotlib/tests/mpltest.ttf
rename to lib/matplotlib/tests/data/mpltest.ttf
diff --git a/lib/matplotlib/tests/data/test_inline_01.ipynb b/lib/matplotlib/tests/data/test_inline_01.ipynb
new file mode 100644
index 000000000000..b87ae095bdbe
--- /dev/null
+++ b/lib/matplotlib/tests/data/test_inline_01.ipynb
@@ -0,0 +1,79 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(3, 2))\n",
+    "ax.plot([1, 3, 2])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "matplotlib.get_backend()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  },
+  "toc": {
+   "colors": {
+    "hover_highlight": "#DAA520",
+    "running_highlight": "#FF0000",
+    "selected_highlight": "#FFD700"
+   },
+   "moveMenuLeft": true,
+   "nav_menu": {
+    "height": "12px",
+    "width": "252px"
+   },
+   "navigate_menu": true,
+   "number_sections": true,
+   "sideBar": true,
+   "threshold": 4,
+   "toc_cell": false,
+   "toc_section_display": "block",
+   "toc_window_display": false,
+   "widenNotebook": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/lib/matplotlib/tests/data/test_nbagg_01.ipynb b/lib/matplotlib/tests/data/test_nbagg_01.ipynb
new file mode 100644
index 000000000000..bd18aa4192b7
--- /dev/null
+++ b/lib/matplotlib/tests/data/test_nbagg_01.ipynb
@@ -0,0 +1,896 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * https://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x110f28898>]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(range(10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'notebook'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import matplotlib\n",
+    "matplotlib.get_backend()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  },
+  "toc": {
+   "colors": {
+    "hover_highlight": "#DAA520",
+    "running_highlight": "#FF0000",
+    "selected_highlight": "#FFD700"
+   },
+   "moveMenuLeft": true,
+   "nav_menu": {
+    "height": "12px",
+    "width": "252px"
+   },
+   "navigate_menu": true,
+   "number_sections": true,
+   "sideBar": true,
+   "threshold": 4,
+   "toc_cell": false,
+   "toc_section_display": "block",
+   "toc_window_display": false,
+   "widenNotebook": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/lib/matplotlib/tests/data/tinypages/.gitignore b/lib/matplotlib/tests/data/tinypages/.gitignore
new file mode 100644
index 000000000000..69fa449dd96e
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/.gitignore
@@ -0,0 +1 @@
+_build/
diff --git a/lib/matplotlib/tests/data/tinypages/README.md b/lib/matplotlib/tests/data/tinypages/README.md
new file mode 100644
index 000000000000..e53d0adc5bdd
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/README.md
@@ -0,0 +1,3 @@
+# Test project for matplotlib sphinx extensions
+
+A tiny sphinx project from ``sphinx-quickstart`` with all default answers.
diff --git a/lib/matplotlib/tests/data/tinypages/_static/.gitignore b/lib/matplotlib/tests/data/tinypages/_static/.gitignore
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/lib/matplotlib/tests/data/tinypages/_static/README.txt b/lib/matplotlib/tests/data/tinypages/_static/README.txt
new file mode 100644
index 000000000000..ebde2c4b4ab7
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/_static/README.txt
@@ -0,0 +1,7 @@
+##############################
+Static directory for tinypages
+##############################
+
+We need this README file to make sure the ``_static`` directory gets created
+in the installation.  The tests check for warnings in builds, and, when the
+``_static`` directory is absent, this raises a warning.
diff --git a/lib/matplotlib/tests/data/tinypages/conf.py b/lib/matplotlib/tests/data/tinypages/conf.py
new file mode 100644
index 000000000000..6a1820d9f546
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/conf.py
@@ -0,0 +1,25 @@
+import sphinx
+from packaging.version import parse as parse_version
+
+# -- General configuration ------------------------------------------------
+
+extensions = ['matplotlib.sphinxext.plot_directive',
+              'matplotlib.sphinxext.figmpl_directive']
+templates_path = ['_templates']
+source_suffix = '.rst'
+master_doc = 'index'
+project = 'tinypages'
+copyright = '2014, Matplotlib developers'
+version = '0.1'
+release = '0.1'
+exclude_patterns = ['_build']
+pygments_style = 'sphinx'
+
+# -- Options for HTML output ----------------------------------------------
+
+if parse_version(sphinx.__version__) >= parse_version('1.3'):
+    html_theme = 'classic'
+else:
+    html_theme = 'default'
+
+html_static_path = ['_static']
diff --git a/lib/matplotlib/tests/data/tinypages/included_plot_21.rst b/lib/matplotlib/tests/data/tinypages/included_plot_21.rst
new file mode 100644
index 000000000000..761beae6c02d
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/included_plot_21.rst
@@ -0,0 +1,6 @@
+Plot 21 has length 6
+
+.. plot::
+
+    plt.plot(range(6))
+
diff --git a/lib/matplotlib/tests/data/tinypages/index.rst b/lib/matplotlib/tests/data/tinypages/index.rst
new file mode 100644
index 000000000000..33e1bf79cde8
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/index.rst
@@ -0,0 +1,24 @@
+.. tinypages documentation master file, created by
+   sphinx-quickstart on Tue Mar 18 11:58:34 2014.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Welcome to tinypages's documentation!
+=====================================
+
+Contents:
+
+.. toctree::
+    :maxdepth: 2
+
+    some_plots
+    nestedpage/index
+    nestedpage2/index
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/lib/matplotlib/tests/data/tinypages/nestedpage/index.rst b/lib/matplotlib/tests/data/tinypages/nestedpage/index.rst
new file mode 100644
index 000000000000..59c41902fa7f
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/nestedpage/index.rst
@@ -0,0 +1,20 @@
+#################
+Nested page plots
+#################
+
+Plot 1 does not use context:
+
+.. plot::
+
+    plt.plot(range(10))
+    plt.title('FIRST NESTED 1')
+    a = 10
+
+Plot 2 doesn't use context either; has length 6:
+
+.. plot::
+
+    plt.plot(range(6))
+    plt.title('FIRST NESTED 2')
+
+
diff --git a/lib/matplotlib/tests/data/tinypages/nestedpage2/index.rst b/lib/matplotlib/tests/data/tinypages/nestedpage2/index.rst
new file mode 100644
index 000000000000..b7d21b581a89
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/nestedpage2/index.rst
@@ -0,0 +1,25 @@
+#####################
+Nested page plots TWO
+#####################
+
+Plot 1 does not use context:
+
+.. plot::
+
+    plt.plot(range(10))
+    plt.title('NESTED2 Plot 1')
+    a = 10
+
+Plot 2 doesn't use context either; has length 6:
+
+
+.. plot::
+
+    plt.plot(range(6))
+    plt.title('NESTED2 Plot 2')
+
+
+.. plot::
+
+    plt.plot(range(6))
+    plt.title('NESTED2 PlotP 3')
diff --git a/lib/matplotlib/tests/data/tinypages/range4.py b/lib/matplotlib/tests/data/tinypages/range4.py
new file mode 100644
index 000000000000..0772fc84ad4e
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/range4.py
@@ -0,0 +1,5 @@
+from matplotlib import pyplot as plt
+
+plt.figure()
+plt.plot(range(4))
+plt.show()
diff --git a/lib/matplotlib/tests/data/tinypages/range6.py b/lib/matplotlib/tests/data/tinypages/range6.py
new file mode 100644
index 000000000000..b6655ae07e1f
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/range6.py
@@ -0,0 +1,20 @@
+from matplotlib import pyplot as plt
+
+
+def range4():
+    """Never called if plot_directive works as expected."""
+    raise NotImplementedError
+
+
+def range6():
+    """The function that should be executed."""
+    plt.figure()
+    plt.plot(range(6))
+    plt.show()
+
+
+def range10():
+    """The function that should be executed."""
+    plt.figure()
+    plt.plot(range(10))
+    plt.show()
diff --git a/lib/matplotlib/tests/data/tinypages/some_plots.rst b/lib/matplotlib/tests/data/tinypages/some_plots.rst
new file mode 100644
index 000000000000..cb56c5b3b8d5
--- /dev/null
+++ b/lib/matplotlib/tests/data/tinypages/some_plots.rst
@@ -0,0 +1,181 @@
+##########
+Some plots
+##########
+
+Plot 1 does not use context:
+
+.. plot::
+
+    plt.plot(range(10))
+    a = 10
+
+Plot 2 doesn't use context either; has length 6:
+
+.. plot::
+
+    plt.plot(range(6))
+
+Plot 3 has length 4, and uses doctest syntax:
+
+.. plot::
+    :format: doctest
+
+    This is a doctest...
+
+    >>> plt.plot(range(4))
+
+    ... isn't it?
+
+Plot 4 shows that a new block with context does not see the variable defined
+in the no-context block:
+
+.. plot::
+    :context:
+
+    assert 'a' not in globals()
+
+Plot 5 defines ``a`` in a context block:
+
+.. plot::
+    :context:
+
+    plt.plot(range(6))
+    a = 10
+
+Plot 6 shows that a block with context sees the new variable.  It also uses
+``:nofigs:``:
+
+.. plot::
+    :context:
+    :nofigs:
+
+    assert a == 10
+    b = 4
+
+Plot 7 uses a variable previously defined in previous ``nofigs`` context. It
+also closes any previous figures to create a fresh figure:
+
+.. plot::
+    :context: close-figs
+
+    assert b == 4
+    plt.plot(range(b))
+
+Plot 8 shows that a non-context block still doesn't have ``a``:
+
+.. plot::
+    :nofigs:
+
+    assert 'a' not in globals()
+
+Plot 9 has a context block, and does have ``a``:
+
+.. plot::
+    :context:
+    :nofigs:
+
+    assert a == 10
+
+Plot 10 resets context, and ``a`` has gone again:
+
+.. plot::
+    :context: reset
+    :nofigs:
+
+    assert 'a' not in globals()
+    c = 10
+
+Plot 11 continues the context, we have the new value, but not the old:
+
+.. plot::
+    :context:
+
+    assert c == 10
+    assert 'a' not in globals()
+    plt.plot(range(c))
+
+Plot 12 opens a new figure.  By default the directive will plot both the first
+and the second figure:
+
+.. plot::
+    :context:
+
+    plt.figure()
+    plt.plot(range(6))
+
+Plot 13 shows ``close-figs`` in action.  ``close-figs`` closes all figures
+previous to this plot directive, so we get always plot the figure we create in
+the directive:
+
+.. plot::
+    :context: close-figs
+
+    plt.figure()
+    plt.plot(range(4))
+
+Plot 14 uses ``include-source``:
+
+.. plot::
+    :include-source:
+
+    # Only a comment
+
+Plot 15 uses an external file with the plot commands and a caption:
+
+.. plot:: range4.py
+
+   This is the caption for plot 15.
+
+
+Plot 16 uses a specific function in a file with plot commands:
+
+.. plot:: range6.py range6
+
+
+Plot 17 gets a caption specified by the :caption: option:
+
+.. plot::
+   :caption:
+      Plot 17 uses the caption option,
+      with multi-line input.
+   :alt:
+      Plot 17 uses the alt option,
+      with multi-line input.
+
+   plt.figure()
+   plt.plot(range(6))
+
+
+Plot 18 uses an external file with the plot commands and a caption
+using the :caption: option:
+
+.. plot:: range4.py
+   :caption: This is the caption for plot 18.
+
+Plot 19 uses shows that the "plot-directive" class is still appended, even if
+we request other custom classes:
+
+.. plot:: range4.py
+   :class: my-class my-other-class
+
+    Should also have a caption.
+
+Plot 20 shows that the default template correctly prints the multi-image
+scenario:
+
+.. plot::
+   :caption: This caption applies to both plots.
+
+   plt.figure()
+   plt.plot(range(6))
+
+   plt.figure()
+   plt.plot(range(4))
+
+Plot 21 is generated via an include directive:
+
+.. include:: included_plot_21.rst
+
+Plot 22 uses a different specific function in a file with plot commands:
+
+.. plot:: range6.py range10
diff --git a/lib/matplotlib/tests/meson.build b/lib/matplotlib/tests/meson.build
new file mode 100644
index 000000000000..48b97a1d4b3d
--- /dev/null
+++ b/lib/matplotlib/tests/meson.build
@@ -0,0 +1,112 @@
+python_sources = [
+  '__init__.py',
+  'conftest.py',
+  'test_afm.py',
+  'test_agg.py',
+  'test_agg_filter.py',
+  'test_animation.py',
+  'test_api.py',
+  'test_arrow_patches.py',
+  'test_artist.py',
+  'test_axes.py',
+  'test_axis.py',
+  'test_backend_bases.py',
+  'test_backend_cairo.py',
+  'test_backend_gtk3.py',
+  'test_backend_inline.py',
+  'test_backend_macosx.py',
+  'test_backend_nbagg.py',
+  'test_backend_pdf.py',
+  'test_backend_pgf.py',
+  'test_backend_ps.py',
+  'test_backend_qt.py',
+  'test_backend_registry.py',
+  'test_backend_svg.py',
+  'test_backend_template.py',
+  'test_backend_tk.py',
+  'test_backend_tools.py',
+  'test_backend_webagg.py',
+  'test_backends_interactive.py',
+  'test_basic.py',
+  'test_bbox_tight.py',
+  'test_bezier.py',
+  'test_category.py',
+  'test_cbook.py',
+  'test_collections.py',
+  'test_colorbar.py',
+  'test_colors.py',
+  'test_compare_images.py',
+  'test_constrainedlayout.py',
+  'test_container.py',
+  'test_contour.py',
+  'test_cycles.py',
+  'test_dates.py',
+  'test_datetime.py',
+  'test_determinism.py',
+  'test_doc.py',
+  'test_dviread.py',
+  'test_figure.py',
+  'test_font_manager.py',
+  'test_fontconfig_pattern.py',
+  'test_ft2font.py',
+  'test_getattr.py',
+  'test_gridspec.py',
+  'test_image.py',
+  'test_legend.py',
+  'test_lines.py',
+  'test_marker.py',
+  'test_mathtext.py',
+  'test_matplotlib.py',
+  'test_multivariate_colormaps.py',
+  'test_mlab.py',
+  'test_offsetbox.py',
+  'test_patches.py',
+  'test_path.py',
+  'test_patheffects.py',
+  'test_pickle.py',
+  'test_png.py',
+  'test_polar.py',
+  'test_preprocess_data.py',
+  'test_pyplot.py',
+  'test_quiver.py',
+  'test_rcparams.py',
+  'test_sankey.py',
+  'test_scale.py',
+  'test_simplification.py',
+  'test_skew.py',
+  'test_sphinxext.py',
+  'test_spines.py',
+  'test_streamplot.py',
+  'test_style.py',
+  'test_subplots.py',
+  'test_table.py',
+  'test_testing.py',
+  'test_texmanager.py',
+  'test_text.py',
+  'test_textpath.py',
+  'test_ticker.py',
+  'test_tightlayout.py',
+  'test_transforms.py',
+  'test_triangulation.py',
+  'test_type1font.py',
+  'test_units.py',
+  'test_usetex.py',
+  'test_widgets.py',
+]
+
+py3.install_sources(python_sources,
+                    subdir: 'matplotlib/tests')
+
+install_data(
+  'README',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'matplotlib/tests/'))
+
+install_subdir(
+  'baseline_images',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'matplotlib/tests'))
+install_subdir(
+  'data',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'matplotlib/tests/'))
diff --git a/lib/matplotlib/tests/test_afm.py b/lib/matplotlib/tests/test_afm.py
new file mode 100644
index 000000000000..80cf8ac60feb
--- /dev/null
+++ b/lib/matplotlib/tests/test_afm.py
@@ -0,0 +1,145 @@
+from io import BytesIO
+import pytest
+import logging
+
+from matplotlib import _afm
+from matplotlib import font_manager as fm
+
+
+# See note in afm.py re: use of comma as decimal separator in the
+# UnderlineThickness field and re: use of non-ASCII characters in the Notice
+# field.
+AFM_TEST_DATA = b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+FullName My Font Bold
+FamilyName Test Fonts
+Weight Bold
+ItalicAngle 0.0
+IsFixedPitch false
+UnderlinePosition -100
+UnderlineThickness 56,789
+Version 001.000
+Notice Copyright \xa9 2017 No one.
+FontBBox 0 -321 1234 369
+StartCharMetrics 3
+C 0 ; WX 250 ; N space ; B 0 0 0 0 ;
+C 42 ; WX 1141 ; N foo ; B 40 60 800 360 ;
+C 99 ; WX 583 ; N bar ; B 40 -10 543 210 ;
+EndCharMetrics
+EndFontMetrics
+"""
+
+
+def test_nonascii_str():
+    # This tests that we also decode bytes as utf-8 properly.
+    # Else, font files with non ascii characters fail to load.
+    inp_str = "привет"
+    byte_str = inp_str.encode("utf8")
+
+    ret = _afm._to_str(byte_str)
+    assert ret == inp_str
+
+
+def test_parse_header():
+    fh = BytesIO(AFM_TEST_DATA)
+    header = _afm._parse_header(fh)
+    assert header == {
+        b'StartFontMetrics': 2.0,
+        b'FontName': 'MyFont-Bold',
+        b'EncodingScheme': 'FontSpecific',
+        b'FullName': 'My Font Bold',
+        b'FamilyName': 'Test Fonts',
+        b'Weight': 'Bold',
+        b'ItalicAngle': 0.0,
+        b'IsFixedPitch': False,
+        b'UnderlinePosition': -100,
+        b'UnderlineThickness': 56.789,
+        b'Version': '001.000',
+        b'Notice': b'Copyright \xa9 2017 No one.',
+        b'FontBBox': [0, -321, 1234, 369],
+        b'StartCharMetrics': 3,
+    }
+
+
+def test_parse_char_metrics():
+    fh = BytesIO(AFM_TEST_DATA)
+    _afm._parse_header(fh)  # position
+    metrics = _afm._parse_char_metrics(fh)
+    assert metrics == (
+        {0: (250.0, 'space', [0, 0, 0, 0]),
+         42: (1141.0, 'foo', [40, 60, 800, 360]),
+         99: (583.0, 'bar', [40, -10, 543, 210]),
+         },
+        {'space': (250.0, 'space', [0, 0, 0, 0]),
+         'foo': (1141.0, 'foo', [40, 60, 800, 360]),
+         'bar': (583.0, 'bar', [40, -10, 543, 210]),
+         })
+
+
+def test_get_familyname_guessed():
+    fh = BytesIO(AFM_TEST_DATA)
+    font = _afm.AFM(fh)
+    del font._header[b'FamilyName']  # remove FamilyName, so we have to guess
+    assert font.get_familyname() == 'My Font'
+
+
+def test_font_manager_weight_normalization():
+    font = _afm.AFM(BytesIO(
+        AFM_TEST_DATA.replace(b"Weight Bold\n", b"Weight Custom\n")))
+    assert fm.afmFontProperty("", font).weight == "normal"
+
+
+@pytest.mark.parametrize(
+    "afm_data",
+    [
+        b"""nope
+really nope""",
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+FontName MyFont-Bold
+EncodingScheme FontSpecific""",
+    ],
+)
+def test_bad_afm(afm_data):
+    fh = BytesIO(afm_data)
+    with pytest.raises(RuntimeError):
+        _afm._parse_header(fh)
+
+
+@pytest.mark.parametrize(
+    "afm_data",
+    [
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+Aardvark bob
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+StartCharMetrics 3""",
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+ItalicAngle zero degrees
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+StartCharMetrics 3""",
+    ],
+)
+def test_malformed_header(afm_data, caplog):
+    fh = BytesIO(afm_data)
+    with caplog.at_level(logging.ERROR):
+        _afm._parse_header(fh)
+
+    assert len(caplog.records) == 1
+
+
+def test_afm_kerning():
+    fn = fm.findfont("Helvetica", fontext="afm")
+    with open(fn, 'rb') as fh:
+        afm = _afm.AFM(fh)
+    assert afm.get_kern_dist_from_name('A', 'V') == -70.0
+    assert afm.get_kern_dist_from_name('V', 'A') == -80.0
diff --git a/lib/matplotlib/tests/test_agg.py b/lib/matplotlib/tests/test_agg.py
index 9e24b31ea2b6..56b26904d041 100644
--- a/lib/matplotlib/tests/test_agg.py
+++ b/lib/matplotlib/tests/test_agg.py
@@ -1,26 +1,27 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import io
-import os
 
+import numpy as np
 from numpy.testing import assert_array_almost_equal
+from PIL import features, Image, TiffTags
+import pytest
 
-from matplotlib.image import imread
-from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+
+from matplotlib import (
+    collections, patheffects, pyplot as plt, transforms as mtransforms,
+    rcParams, rc_context)
+from matplotlib.backends.backend_agg import RendererAgg
 from matplotlib.figure import Figure
-from matplotlib.testing.decorators import cleanup
+from matplotlib.image import imread
+from matplotlib.path import Path
+from matplotlib.testing.decorators import image_comparison
+from matplotlib.transforms import IdentityTransform
 
 
-@cleanup
 def test_repeated_save_with_alpha():
     # We want an image which has a background color of bluish green, with an
     # alpha of 0.25.
 
     fig = Figure([1, 0.4])
-    canvas = FigureCanvas(fig)
     fig.set_facecolor((0, 1, 0.4))
     fig.patch.set_alpha(0.25)
 
@@ -47,71 +48,311 @@ def test_repeated_save_with_alpha():
                               decimal=3)
 
 
-def report_memory(i):
-    pid = os.getpid()
-    a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
-    print(i, '  ', a2[1], end=' ')
-    return int(a2[1].split()[0])
-
-# This test is disabled -- it uses old API. -ADS 2009-09-07
-## def test_memleak():
-##     """Test agg backend for memory leaks."""
-##     from matplotlib.ft2font import FT2Font
-##     from numpy.random import rand
-##     from matplotlib.backend_bases import GraphicsContextBase
-##     from matplotlib.backends._backend_agg import RendererAgg
-
-##     fontname = '/usr/local/share/matplotlib/Vera.ttf'
-
-##     N = 200
-##     for i in range( N ):
-##         gc = GraphicsContextBase()
-##         gc.set_clip_rectangle( [20, 20, 20, 20] )
-##         o = RendererAgg( 400, 400, 72 )
-
-##         for j in range( 50 ):
-##             xs = [ 400*int(rand()) for k in range(8) ]
-##             ys = [ 400*int(rand()) for k in range(8) ]
-##             rgb = (1, 0, 0)
-##             pnts = zip( xs, ys )
-##             o.draw_polygon( gc, rgb, pnts )
-##             o.draw_polygon( gc, None, pnts )
-
-##         for j in range( 50 ):
-##             x = [ 400*int(rand()) for k in range(4) ]
-##             y = [ 400*int(rand()) for k in range(4) ]
-##             o.draw_lines( gc, x, y )
-
-##         for j in range( 50 ):
-##             args = [ 400*int(rand()) for k in range(4) ]
-##             rgb = (1, 0, 0)
-##             o.draw_rectangle( gc, rgb, *args )
-
-##         if 1: # add text
-##             font = FT2Font( fontname )
-##             font.clear()
-##             font.set_text( 'hi mom', 60 )
-##             font.set_size( 12, 72 )
-##             o.draw_text_image( font.get_image(), 30, 40, gc )
-
-##         fname = "agg_memleak_%05d.png"
-##         o.write_png( fname % i )
-##         val = report_memory( i )
-##         if i==1: start = val
-
-##     end = val
-##     avgMem = (end - start) / float(N)
-##     print 'Average memory consumed per loop: %1.4f\n' % (avgMem)
-
-##     #TODO: Verify the expected mem usage and approximate tolerance that
-##     # should be used
-##     #self.checkClose( 0.32, avgMem, absTol = 0.1 )
-
-##     # w/o text and w/o write_png: Average memory consumed per loop: 0.02
-##     # w/o text and w/ write_png : Average memory consumed per loop: 0.3400
-##     # w/ text and w/ write_png  : Average memory consumed per loop: 0.32
-
-
-if __name__ == "__main__":
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_large_single_path_collection():
+    buff = io.BytesIO()
+
+    # Generates a too-large single path in a path collection that
+    # would cause a segfault if the draw_markers optimization is
+    # applied.
+    f, ax = plt.subplots()
+    collection = collections.PathCollection(
+        [Path([[-10, 5], [10, 5], [10, -5], [-10, -5], [-10, 5]])])
+    ax.add_artist(collection)
+    ax.set_xlim(10**-3, 1)
+    plt.savefig(buff)
+
+
+def test_marker_with_nan():
+    # This creates a marker with nans in it, which was segfaulting the
+    # Agg backend (see #3722)
+    fig, ax = plt.subplots(1)
+    steps = 1000
+    data = np.arange(steps)
+    ax.semilogx(data)
+    ax.fill_between(data, data*0.8, data*1.2)
+    buf = io.BytesIO()
+    fig.savefig(buf, format='png')
+
+
+def test_long_path():
+    buff = io.BytesIO()
+    fig = Figure()
+    ax = fig.subplots()
+    points = np.ones(100_000)
+    points[::2] *= -1
+    ax.plot(points)
+    fig.savefig(buff, format='png')
+
+
+@image_comparison(['agg_filter.png'], remove_text=True)
+def test_agg_filter():
+    def smooth1d(x, window_len):
+        # copied from https://scipy-cookbook.readthedocs.io/
+        s = np.r_[
+            2*x[0] - x[window_len:1:-1], x, 2*x[-1] - x[-1:-window_len:-1]]
+        w = np.hanning(window_len)
+        y = np.convolve(w/w.sum(), s, mode='same')
+        return y[window_len-1:-window_len+1]
+
+    def smooth2d(A, sigma=3):
+        window_len = max(int(sigma), 3) * 2 + 1
+        A = np.apply_along_axis(smooth1d, 0, A, window_len)
+        A = np.apply_along_axis(smooth1d, 1, A, window_len)
+        return A
+
+    class BaseFilter:
+
+        def get_pad(self, dpi):
+            return 0
+
+        def process_image(self, padded_src, dpi):
+            raise NotImplementedError("Should be overridden by subclasses")
+
+        def __call__(self, im, dpi):
+            pad = self.get_pad(dpi)
+            padded_src = np.pad(im, [(pad, pad), (pad, pad), (0, 0)],
+                                "constant")
+            tgt_image = self.process_image(padded_src, dpi)
+            return tgt_image, -pad, -pad
+
+    class OffsetFilter(BaseFilter):
+
+        def __init__(self, offsets=(0, 0)):
+            self.offsets = offsets
+
+        def get_pad(self, dpi):
+            return int(max(self.offsets) / 72 * dpi)
+
+        def process_image(self, padded_src, dpi):
+            ox, oy = self.offsets
+            a1 = np.roll(padded_src, int(ox / 72 * dpi), axis=1)
+            a2 = np.roll(a1, -int(oy / 72 * dpi), axis=0)
+            return a2
+
+    class GaussianFilter(BaseFilter):
+        """Simple Gaussian filter."""
+
+        def __init__(self, sigma, alpha=0.5, color=(0, 0, 0)):
+            self.sigma = sigma
+            self.alpha = alpha
+            self.color = color
+
+        def get_pad(self, dpi):
+            return int(self.sigma*3 / 72 * dpi)
+
+        def process_image(self, padded_src, dpi):
+            tgt_image = np.empty_like(padded_src)
+            tgt_image[:, :, :3] = self.color
+            tgt_image[:, :, 3] = smooth2d(padded_src[:, :, 3] * self.alpha,
+                                          self.sigma / 72 * dpi)
+            return tgt_image
+
+    class DropShadowFilter(BaseFilter):
+
+        def __init__(self, sigma, alpha=0.3, color=(0, 0, 0), offsets=(0, 0)):
+            self.gauss_filter = GaussianFilter(sigma, alpha, color)
+            self.offset_filter = OffsetFilter(offsets)
+
+        def get_pad(self, dpi):
+            return max(self.gauss_filter.get_pad(dpi),
+                       self.offset_filter.get_pad(dpi))
+
+        def process_image(self, padded_src, dpi):
+            t1 = self.gauss_filter.process_image(padded_src, dpi)
+            t2 = self.offset_filter.process_image(t1, dpi)
+            return t2
+
+    fig, ax = plt.subplots()
+
+    # draw lines
+    line1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-",
+                     mec="b", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
+    line2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "ro-",
+                     mec="r", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
+
+    gauss = DropShadowFilter(4)
+
+    for line in [line1, line2]:
+
+        # draw shadows with same lines with slight offset.
+        xx = line.get_xdata()
+        yy = line.get_ydata()
+        shadow, = ax.plot(xx, yy)
+        shadow.update_from(line)
+
+        # offset transform
+        transform = mtransforms.offset_copy(
+            line.get_transform(), fig, x=4.0, y=-6.0, units='points')
+        shadow.set_transform(transform)
+
+        # adjust zorder of the shadow lines so that it is drawn below the
+        # original lines
+        shadow.set_zorder(line.get_zorder() - 0.5)
+        shadow.set_agg_filter(gauss)
+        shadow.set_rasterized(True)  # to support mixed-mode renderers
+
+    ax.set_xlim(0., 1.)
+    ax.set_ylim(0., 1.)
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+def test_too_large_image():
+    fig = plt.figure(figsize=(300, 2**25))
+    buff = io.BytesIO()
+    with pytest.raises(ValueError):
+        fig.savefig(buff)
+
+
+def test_chunksize():
+    x = range(200)
+
+    # Test without chunksize
+    fig, ax = plt.subplots()
+    ax.plot(x, np.sin(x))
+    fig.canvas.draw()
+
+    # Test with chunksize
+    fig, ax = plt.subplots()
+    rcParams['agg.path.chunksize'] = 105
+    ax.plot(x, np.sin(x))
+    fig.canvas.draw()
+
+
+@pytest.mark.backend('Agg')
+def test_jpeg_dpi():
+    # Check that dpi is set correctly in jpg files.
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf = io.BytesIO()
+    plt.savefig(buf, format="jpg", dpi=200)
+    im = Image.open(buf)
+    assert im.info['dpi'] == (200, 200)
+
+
+def test_pil_kwargs_png():
+    from PIL.PngImagePlugin import PngInfo
+    buf = io.BytesIO()
+    pnginfo = PngInfo()
+    pnginfo.add_text("Software", "test")
+    plt.figure().savefig(buf, format="png", pil_kwargs={"pnginfo": pnginfo})
+    im = Image.open(buf)
+    assert im.info["Software"] == "test"
+
+
+def test_pil_kwargs_tiff():
+    buf = io.BytesIO()
+    pil_kwargs = {"description": "test image"}
+    plt.figure().savefig(buf, format="tiff", pil_kwargs=pil_kwargs)
+    im = Image.open(buf)
+    tags = {TiffTags.TAGS_V2[k].name: v for k, v in im.tag_v2.items()}
+    assert tags["ImageDescription"] == "test image"
+
+
+@pytest.mark.skipif(not features.check("webp"), reason="WebP support not available")
+def test_pil_kwargs_webp():
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf_small = io.BytesIO()
+    pil_kwargs_low = {"quality": 1}
+    plt.savefig(buf_small, format="webp", pil_kwargs=pil_kwargs_low)
+    assert len(pil_kwargs_low) == 1
+    buf_large = io.BytesIO()
+    pil_kwargs_high = {"quality": 100}
+    plt.savefig(buf_large, format="webp", pil_kwargs=pil_kwargs_high)
+    assert len(pil_kwargs_high) == 1
+    assert buf_large.getbuffer().nbytes > buf_small.getbuffer().nbytes
+
+
+def test_gif_no_alpha():
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf = io.BytesIO()
+    plt.savefig(buf, format="gif", transparent=False)
+    im = Image.open(buf)
+    assert im.mode == "P"
+    assert im.info["transparency"] >= len(im.palette.colors)
+
+
+def test_gif_alpha():
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf = io.BytesIO()
+    plt.savefig(buf, format="gif", transparent=True)
+    im = Image.open(buf)
+    assert im.mode == "P"
+    assert im.info["transparency"] < len(im.palette.colors)
+
+
+@pytest.mark.skipif(not features.check("webp"), reason="WebP support not available")
+def test_webp_alpha():
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf = io.BytesIO()
+    plt.savefig(buf, format="webp", transparent=True)
+    im = Image.open(buf)
+    assert im.mode == "RGBA"
+
+
+def test_draw_path_collection_error_handling():
+    fig, ax = plt.subplots()
+    ax.scatter([1], [1]).set_paths(Path([(0, 1), (2, 3)]))
+    with pytest.raises(TypeError):
+        fig.canvas.draw()
+
+
+def test_chunksize_fails():
+    # NOTE: This test covers multiple independent test scenarios in a single
+    #       function, because each scenario uses ~2GB of memory and we don't
+    #       want parallel test executors to accidentally run multiple of these
+    #       at the same time.
+
+    N = 100_000
+    dpi = 500
+    w = 5*dpi
+    h = 6*dpi
+
+    # make a Path that spans the whole w-h rectangle
+    x = np.linspace(0, w, N)
+    y = np.ones(N) * h
+    y[::2] = 0
+    path = Path(np.vstack((x, y)).T)
+    # effectively disable path simplification (but leaving it "on")
+    path.simplify_threshold = 0
+
+    # setup the minimal GraphicsContext to draw a Path
+    ra = RendererAgg(w, h, dpi)
+    gc = ra.new_gc()
+    gc.set_linewidth(1)
+    gc.set_foreground('r')
+
+    gc.set_hatch('/')
+    with pytest.raises(OverflowError, match='cannot split hatched path'):
+        ra.draw_path(gc, path, IdentityTransform())
+    gc.set_hatch(None)
+
+    with pytest.raises(OverflowError, match='cannot split filled path'):
+        ra.draw_path(gc, path, IdentityTransform(), (1, 0, 0))
+
+    # Set to zero to disable, currently defaults to 0, but let's be sure.
+    with rc_context({'agg.path.chunksize': 0}):
+        with pytest.raises(OverflowError, match='Please set'):
+            ra.draw_path(gc, path, IdentityTransform())
+
+    # Set big enough that we do not try to chunk.
+    with rc_context({'agg.path.chunksize': 1_000_000}):
+        with pytest.raises(OverflowError, match='Please reduce'):
+            ra.draw_path(gc, path, IdentityTransform())
+
+    # Small enough we will try to chunk, but big enough we will fail to render.
+    with rc_context({'agg.path.chunksize': 90_000}):
+        with pytest.raises(OverflowError, match='Please reduce'):
+            ra.draw_path(gc, path, IdentityTransform())
+
+    path.should_simplify = False
+    with pytest.raises(OverflowError, match="should_simplify is False"):
+        ra.draw_path(gc, path, IdentityTransform())
+
+
+def test_non_tuple_rgbaface():
+    # This passes rgbaFace as a ndarray to draw_path.
+    fig = plt.figure()
+    fig.add_subplot(projection="3d").scatter(
+        [0, 1, 2], [0, 1, 2], path_effects=[patheffects.Stroke(linewidth=4)])
+    fig.canvas.draw()
diff --git a/lib/matplotlib/tests/test_agg_filter.py b/lib/matplotlib/tests/test_agg_filter.py
new file mode 100644
index 000000000000..545e62d20d7c
--- /dev/null
+++ b/lib/matplotlib/tests/test_agg_filter.py
@@ -0,0 +1,33 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+
+
+@image_comparison(baseline_images=['agg_filter_alpha'],
+                  extensions=['gif', 'png', 'pdf'])
+def test_agg_filter_alpha():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    ax = plt.axes()
+    x, y = np.mgrid[0:7, 0:8]
+    data = x**2 - y**2
+    mesh = ax.pcolormesh(data, cmap='Reds', zorder=5)
+
+    def manual_alpha(im, dpi):
+        im[:, :, 3] *= 0.6
+        print('CALLED')
+        return im, 0, 0
+
+    # Note: Doing alpha like this is not the same as setting alpha on
+    # the mesh itself. Currently meshes are drawn as independent patches,
+    # and we see fine borders around the blocks of color. See the SO
+    # question for an example: https://stackoverflow.com/q/20678817/
+    mesh.set_agg_filter(manual_alpha)
+
+    # Currently we must enable rasterization for this to have an effect in
+    # the PDF backend.
+    mesh.set_rasterized(True)
+
+    ax.plot([0, 4, 7], [1, 3, 8])
diff --git a/lib/matplotlib/tests/test_animation.py b/lib/matplotlib/tests/test_animation.py
index 97ffe5327c60..114e38996a10 100644
--- a/lib/matplotlib/tests/test_animation.py
+++ b/lib/matplotlib/tests/test_animation.py
@@ -1,77 +1,442 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import os
-import tempfile
+from pathlib import Path
+import platform
+import re
+import shutil
+import subprocess
+import sys
+import weakref
+
 import numpy as np
-from nose import with_setup
+import pytest
+
+import matplotlib as mpl
 from matplotlib import pyplot as plt
 from matplotlib import animation
-from matplotlib.testing.noseclasses import KnownFailureTest
-from matplotlib.testing.decorators import cleanup
-from matplotlib.testing.decorators import CleanupTest
+from matplotlib.animation import PillowWriter
+from matplotlib.testing.decorators import check_figures_equal
+
+
+@pytest.fixture()
+def anim(request):
+    """Create a simple animation (with options)."""
+    fig, ax = plt.subplots()
+    line, = ax.plot([], [])
+
+    ax.set_xlim(0, 10)
+    ax.set_ylim(-1, 1)
+
+    def init():
+        line.set_data([], [])
+        return line,
+
+    def animate(i):
+        x = np.linspace(0, 10, 100)
+        y = np.sin(x + i)
+        line.set_data(x, y)
+        return line,
+
+    # "klass" can be passed to determine the class returned by the fixture
+    kwargs = dict(getattr(request, 'param', {}))  # make a copy
+    klass = kwargs.pop('klass', animation.FuncAnimation)
+    if 'frames' not in kwargs:
+        kwargs['frames'] = 5
+    return klass(fig=fig, func=animate, init_func=init, **kwargs)
+
+
+class NullMovieWriter(animation.AbstractMovieWriter):
+    """
+    A minimal MovieWriter.  It doesn't actually write anything.
+    It just saves the arguments that were given to the setup() and
+    grab_frame() methods as attributes, and counts how many times
+    grab_frame() is called.
+
+    This class doesn't have an __init__ method with the appropriate
+    signature, and it doesn't define an isAvailable() method, so
+    it cannot be added to the 'writers' registry.
+    """
+
+    def setup(self, fig, outfile, dpi, *args):
+        self.fig = fig
+        self.outfile = outfile
+        self.dpi = dpi
+        self.args = args
+        self._count = 0
+
+    def grab_frame(self, **savefig_kwargs):
+        from matplotlib.animation import _validate_grabframe_kwargs
+        _validate_grabframe_kwargs(savefig_kwargs)
+        self.savefig_kwargs = savefig_kwargs
+        self._count += 1
+
+    def finish(self):
+        pass
+
+
+def test_null_movie_writer(anim):
+    # Test running an animation with NullMovieWriter.
+    plt.rcParams["savefig.facecolor"] = "auto"
+    filename = "unused.null"
+    dpi = 50
+    savefig_kwargs = dict(foo=0)
+    writer = NullMovieWriter()
+
+    anim.save(filename, dpi=dpi, writer=writer,
+              savefig_kwargs=savefig_kwargs)
 
+    assert writer.fig == plt.figure(1)  # The figure used by anim fixture
+    assert writer.outfile == filename
+    assert writer.dpi == dpi
+    assert writer.args == ()
+    # we enrich the savefig kwargs to ensure we composite transparent
+    # output to an opaque background
+    for k, v in savefig_kwargs.items():
+        assert writer.savefig_kwargs[k] == v
+    assert writer._count == anim._save_count
 
-WRITER_OUTPUT = dict(ffmpeg='mp4', ffmpeg_file='mp4',
-                     mencoder='mp4', mencoder_file='mp4',
-                     avconv='mp4', avconv_file='mp4',
-                     imagemagick='gif', imagemagick_file='gif')
+
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_animation_delete(anim):
+    if platform.python_implementation() == 'PyPy':
+        # Something in the test setup fixture lingers around into the test and
+        # breaks pytest.warns on PyPy. This garbage collection fixes it.
+        # https://foss.heptapod.net/pypy/pypy/-/issues/3536
+        np.testing.break_cycles()
+    anim = animation.FuncAnimation(**anim)
+    with pytest.warns(Warning, match='Animation was deleted'):
+        del anim
+        np.testing.break_cycles()
+
+
+def test_movie_writer_dpi_default():
+    class DummyMovieWriter(animation.MovieWriter):
+        def _run(self):
+            pass
+
+    # Test setting up movie writer with figure.dpi default.
+    fig = plt.figure()
+
+    filename = "unused.null"
+    fps = 5
+    codec = "unused"
+    bitrate = 1
+    extra_args = ["unused"]
+
+    writer = DummyMovieWriter(fps, codec, bitrate, extra_args)
+    writer.setup(fig, filename)
+    assert writer.dpi == fig.dpi
+
+
+@animation.writers.register('null')
+class RegisteredNullMovieWriter(NullMovieWriter):
+
+    # To be able to add NullMovieWriter to the 'writers' registry,
+    # we must define an __init__ method with a specific signature,
+    # and we must define the class method isAvailable().
+    # (These methods are not actually required to use an instance
+    # of this class as the 'writer' argument of Animation.save().)
+
+    def __init__(self, fps=None, codec=None, bitrate=None,
+                 extra_args=None, metadata=None):
+        pass
+
+    @classmethod
+    def isAvailable(cls):
+        return True
+
+
+WRITER_OUTPUT = [
+    ('ffmpeg', 'movie.mp4'),
+    ('ffmpeg_file', 'movie.mp4'),
+    ('imagemagick', 'movie.gif'),
+    ('imagemagick_file', 'movie.gif'),
+    ('pillow', 'movie.gif'),
+    ('html', 'movie.html'),
+    ('null', 'movie.null')
+]
+
+
+def gen_writers():
+    for writer, output in WRITER_OUTPUT:
+        if not animation.writers.is_available(writer):
+            mark = pytest.mark.skip(f"writer '{writer}' not available on this system")
+            yield pytest.param(writer, None, output, marks=[mark])
+            yield pytest.param(writer, None, Path(output), marks=[mark])
+            continue
+
+        writer_class = animation.writers[writer]
+        for frame_format in getattr(writer_class, 'supported_formats', [None]):
+            yield writer, frame_format, output
+            yield writer, frame_format, Path(output)
 
 
 # Smoke test for saving animations.  In the future, we should probably
 # design more sophisticated tests which compare resulting frames a-la
 # matplotlib.testing.image_comparison
-def test_save_animation_smoketest():
-    for writer, extension in six.iteritems(WRITER_OUTPUT):
-        yield check_save_animation, writer, extension
+@pytest.mark.parametrize('writer, frame_format, output', gen_writers())
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_save_animation_smoketest(tmp_path, writer, frame_format, output, anim):
+    if frame_format is not None:
+        plt.rcParams["animation.frame_format"] = frame_format
+    anim = animation.FuncAnimation(**anim)
+    dpi = None
+    codec = None
+    if writer == 'ffmpeg':
+        # Issue #8253
+        anim._fig.set_size_inches((10.85, 9.21))
+        dpi = 100.
+        codec = 'h264'
+
+    anim.save(tmp_path / output, fps=30, writer=writer, bitrate=500, dpi=dpi,
+              codec=codec)
+
+    del anim
+
+
+@pytest.mark.parametrize('writer, frame_format, output', gen_writers())
+def test_grabframe(tmp_path, writer, frame_format, output):
+    WriterClass = animation.writers[writer]
+
+    if frame_format is not None:
+        plt.rcParams["animation.frame_format"] = frame_format
+
+    fig, ax = plt.subplots()
+
+    dpi = None
+    codec = None
+    if writer == 'ffmpeg':
+        # Issue #8253
+        fig.set_size_inches((10.85, 9.21))
+        dpi = 100.
+        codec = 'h264'
+
+    test_writer = WriterClass()
+    with test_writer.saving(fig, tmp_path / output, dpi):
+        # smoke test it works
+        test_writer.grab_frame()
+        for k in {'dpi', 'bbox_inches', 'format'}:
+            with pytest.raises(
+                    TypeError,
+                    match=f"grab_frame got an unexpected keyword argument {k!r}"):
+                test_writer.grab_frame(**{k: object()})
+
+
+@pytest.mark.parametrize('writer', [
+    pytest.param(
+        'ffmpeg', marks=pytest.mark.skipif(
+            not animation.FFMpegWriter.isAvailable(),
+            reason='Requires FFMpeg')),
+    pytest.param(
+        'imagemagick', marks=pytest.mark.skipif(
+            not animation.ImageMagickWriter.isAvailable(),
+            reason='Requires ImageMagick')),
+])
+@pytest.mark.parametrize('html, want', [
+    ('none', None),
+    ('html5', '<video width'),
+    ('jshtml', '<script ')
+])
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_animation_repr_html(writer, html, want, anim):
+    if platform.python_implementation() == 'PyPy':
+        # Something in the test setup fixture lingers around into the test and
+        # breaks pytest.warns on PyPy. This garbage collection fixes it.
+        # https://foss.heptapod.net/pypy/pypy/-/issues/3536
+        np.testing.break_cycles()
+    if (writer == 'imagemagick' and html == 'html5'
+            # ImageMagick delegates to ffmpeg for this format.
+            and not animation.FFMpegWriter.isAvailable()):
+        pytest.skip('Requires FFMpeg')
+    # create here rather than in the fixture otherwise we get __del__ warnings
+    # about producing no output
+    anim = animation.FuncAnimation(**anim)
+    with plt.rc_context({'animation.writer': writer,
+                         'animation.html': html}):
+        html = anim._repr_html_()
+    if want is None:
+        assert html is None
+        with pytest.warns(UserWarning):
+            del anim  # Animation was never run, so will warn on cleanup.
+            np.testing.break_cycles()
+    else:
+        assert want in html
+
+
+@pytest.mark.parametrize(
+    'anim',
+    [{'save_count': 10, 'frames': iter(range(5))}],
+    indirect=['anim']
+)
+def test_no_length_frames(anim):
+    anim.save('unused.null', writer=NullMovieWriter())
 
 
-@cleanup
-def check_save_animation(writer, extension='mp4'):
-    if not animation.writers.is_available(writer):
-        raise KnownFailureTest("writer '%s' not available on this system"
-                               % writer)
-    if 'mencoder' in writer:
-        raise KnownFailureTest("mencoder is broken")
+def test_movie_writer_registry():
+    assert len(animation.writers._registered) > 0
+    mpl.rcParams['animation.ffmpeg_path'] = "not_available_ever_xxxx"
+    assert not animation.writers.is_available("ffmpeg")
+    # something guaranteed to be available in path and exits immediately
+    bin = "true" if sys.platform != 'win32' else "where"
+    mpl.rcParams['animation.ffmpeg_path'] = bin
+    assert animation.writers.is_available("ffmpeg")
 
+
+@pytest.mark.parametrize(
+    "method_name",
+    [pytest.param("to_html5_video", marks=pytest.mark.skipif(
+        not animation.writers.is_available(mpl.rcParams["animation.writer"]),
+        reason="animation writer not installed")),
+     "to_jshtml"])
+@pytest.mark.parametrize('anim', [dict(frames=1)], indirect=['anim'])
+def test_embed_limit(method_name, caplog, anim):
+    caplog.set_level("WARNING")
+    with mpl.rc_context({"animation.embed_limit": 1e-6}):  # ~1 byte.
+        getattr(anim, method_name)()
+    assert len(caplog.records) == 1
+    record, = caplog.records
+    assert (record.name == "matplotlib.animation"
+            and record.levelname == "WARNING")
+
+
+@pytest.mark.skipif(shutil.which("/bin/sh") is None, reason="requires a POSIX OS")
+def test_failing_ffmpeg(tmp_path, monkeypatch, anim):
+    """
+    Test that we correctly raise a CalledProcessError when ffmpeg fails.
+
+    To do so, mock ffmpeg using a simple executable shell script that
+    succeeds when called with no arguments (so that it gets registered by
+    `isAvailable`), but fails otherwise, and add it to the $PATH.
+    """
+    monkeypatch.setenv("PATH", str(tmp_path), prepend=":")
+    exe_path = tmp_path / "ffmpeg"
+    exe_path.write_bytes(b"#!/bin/sh\n[[ $@ -eq 0 ]]\n")
+    os.chmod(exe_path, 0o755)
+    with pytest.raises(subprocess.CalledProcessError):
+        anim.save("test.mpeg")
+
+
+@pytest.mark.parametrize("cache_frame_data", [False, True])
+def test_funcanimation_cache_frame_data(cache_frame_data):
     fig, ax = plt.subplots()
     line, = ax.plot([], [])
 
-    ax.set_xlim(0, 10)
-    ax.set_ylim(-1, 1)
+    class Frame(dict):
+        # this subclassing enables to use weakref.ref()
+        pass
 
     def init():
         line.set_data([], [])
         return line,
 
-    def animate(i):
-        x = np.linspace(0, 10, 100)
-        y = np.sin(x + i)
-        line.set_data(x, y)
+    def animate(frame):
+        line.set_data(frame['x'], frame['y'])
         return line,
 
-    # Use NamedTemporaryFile: will be automatically deleted
-    F = tempfile.NamedTemporaryFile(suffix='.' + extension)
-    F.close()
-    anim = animation.FuncAnimation(fig, animate, init_func=init, frames=5)
-    try:
-        anim.save(F.name, fps=30, writer=writer)
-    except UnicodeDecodeError:
-        raise KnownFailureTest("There can be errors in the numpy " +
-                               "import stack, " +
-                               "see issues #1891 and #2679")
-    finally:
-        try:
-            os.remove(F.name)
-        except Exception:
-            pass
+    frames_generated = []
+
+    def frames_generator():
+        for _ in range(5):
+            x = np.linspace(0, 10, 100)
+            y = np.random.rand(100)
+
+            frame = Frame(x=x, y=y)
+
+            # collect weak references to frames
+            # to validate their references later
+            frames_generated.append(weakref.ref(frame))
 
+            yield frame
+
+    MAX_FRAMES = 100
+    anim = animation.FuncAnimation(fig, animate, init_func=init,
+                                   frames=frames_generator,
+                                   cache_frame_data=cache_frame_data,
+                                   save_count=MAX_FRAMES)
+
+    writer = NullMovieWriter()
+    anim.save('unused.null', writer=writer)
+    assert len(frames_generated) == 5
+    np.testing.break_cycles()
+    for f in frames_generated:
+        # If cache_frame_data is True, then the weakref should be alive;
+        # if cache_frame_data is False, then the weakref should be dead (None).
+        assert (f() is None) != cache_frame_data
+
+
+@pytest.mark.parametrize('return_value', [
+    # User forgot to return (returns None).
+    None,
+    # User returned a string.
+    'string',
+    # User returned an int.
+    1,
+    # User returns a sequence of other objects, e.g., string instead of Artist.
+    ('string', ),
+    # User forgot to return a sequence (handled in `animate` below.)
+    'artist',
+])
+def test_draw_frame(return_value):
+    # test _draw_frame method
 
-@cleanup
-def test_no_length_frames():
     fig, ax = plt.subplots()
+    line, = ax.plot([])
+
+    def animate(i):
+        # general update func
+        line.set_data([0, 1], [0, i])
+        if return_value == 'artist':
+            # *not* a sequence
+            return line
+        else:
+            return return_value
+
+    with pytest.raises(RuntimeError):
+        animation.FuncAnimation(
+            fig, animate, blit=True, cache_frame_data=False
+        )
+
+
+def test_exhausted_animation(tmp_path):
+    fig, ax = plt.subplots()
+
+    def update(frame):
+        return []
+
+    anim = animation.FuncAnimation(
+        fig, update, frames=iter(range(10)), repeat=False,
+        cache_frame_data=False
+    )
+
+    anim.save(tmp_path / "test.gif", writer='pillow')
+
+    with pytest.warns(UserWarning, match="exhausted"):
+        anim._start()
+
+
+def test_no_frame_warning():
+    fig, ax = plt.subplots()
+
+    def update(frame):
+        return []
+
+    anim = animation.FuncAnimation(
+        fig, update, frames=[], repeat=False,
+        cache_frame_data=False
+    )
+
+    with pytest.warns(UserWarning, match="exhausted"):
+        anim._start()
+
+
+@check_figures_equal()
+def test_animation_frame(tmp_path, fig_test, fig_ref):
+    # Test the expected image after iterating through a few frames
+    # we save the animation to get the iteration because we are not
+    # in an interactive framework.
+    ax = fig_test.add_subplot()
+    ax.set_xlim(0, 2 * np.pi)
+    ax.set_ylim(-1, 1)
+    x = np.linspace(0, 2 * np.pi, 100)
     line, = ax.plot([], [])
 
     def init():
@@ -79,15 +444,103 @@ def init():
         return line,
 
     def animate(i):
-        x = np.linspace(0, 10, 100)
-        y = np.sin(x + i)
-        line.set_data(x, y)
+        line.set_data(x, np.sin(x + i / 100))
         return line,
 
-    anim = animation.FuncAnimation(fig, animate, init_func=init,
-                                   frames=iter(range(5)))
+    anim = animation.FuncAnimation(
+        fig_test, animate, init_func=init, frames=5,
+        blit=True, repeat=False)
+    anim.save(tmp_path / "test.gif")
+
+    # Reference figure without animation
+    ax = fig_ref.add_subplot()
+    ax.set_xlim(0, 2 * np.pi)
+    ax.set_ylim(-1, 1)
 
+    # 5th frame's data
+    ax.plot(x, np.sin(x + 4 / 100))
+
+
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_save_count_override_warnings_has_length(anim):
+
+    save_count = 5
+    frames = list(range(2))
+    match_target = (
+        f'You passed in an explicit {save_count=} '
+        "which is being ignored in favor of "
+        f"{len(frames)=}."
+    )
+
+    with pytest.warns(UserWarning, match=re.escape(match_target)):
+        anim = animation.FuncAnimation(
+            **{**anim, 'frames': frames, 'save_count': save_count}
+        )
+    assert anim._save_count == len(frames)
+    anim._init_draw()
+
+
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_save_count_override_warnings_scaler(anim):
+    save_count = 5
+    frames = 7
+    match_target = (
+        f'You passed in an explicit {save_count=} ' +
+        "which is being ignored in favor of " +
+        f"{frames=}."
+    )
+
+    with pytest.warns(UserWarning, match=re.escape(match_target)):
+        anim = animation.FuncAnimation(
+            **{**anim, 'frames': frames, 'save_count': save_count}
+        )
+
+    assert anim._save_count == frames
+    anim._init_draw()
+
+
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_disable_cache_warning(anim):
+    cache_frame_data = True
+    frames = iter(range(5))
+    match_target = (
+        f"{frames=!r} which we can infer the length of, "
+        "did not pass an explicit *save_count* "
+        f"and passed {cache_frame_data=}.  To avoid a possibly "
+        "unbounded cache, frame data caching has been disabled. "
+        "To suppress this warning either pass "
+        "`cache_frame_data=False` or `save_count=MAX_FRAMES`."
+    )
+    with pytest.warns(UserWarning, match=re.escape(match_target)):
+        anim = animation.FuncAnimation(
+            **{**anim, 'cache_frame_data': cache_frame_data, 'frames': frames}
+        )
+    assert anim._cache_frame_data is False
+    anim._init_draw()
+
+
+def test_movie_writer_invalid_path(anim):
+    if sys.platform == "win32":
+        match_str = r"\[WinError 3] .*\\\\foo\\\\bar\\\\aardvark'"
+    else:
+        match_str = r"\[Errno 2] .*'/foo"
+    with pytest.raises(FileNotFoundError, match=match_str):
+        anim.save("/foo/bar/aardvark/thiscannotreallyexist.mp4",
+                  writer=animation.FFMpegFileWriter())
+
+
+def test_animation_with_transparency():
+    """Test animation exhaustion with transparency using PillowWriter directly"""
+    fig, ax = plt.subplots()
+    rect = plt.Rectangle((0, 0), 1, 1, color='red', alpha=0.5)
+    ax.add_patch(rect)
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
 
-if __name__ == "__main__":
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    writer = PillowWriter(fps=30)
+    writer.setup(fig, 'unused.gif', dpi=100)
+    writer.grab_frame(transparent=True)
+    frame = writer._frames[-1]
+    # Check that the alpha channel is not 255, so frame has transparency
+    assert frame.getextrema()[3][0] < 255
+    plt.close(fig)
diff --git a/lib/matplotlib/tests/test_api.py b/lib/matplotlib/tests/test_api.py
new file mode 100644
index 000000000000..f04604c14cce
--- /dev/null
+++ b/lib/matplotlib/tests/test_api.py
@@ -0,0 +1,152 @@
+from __future__ import annotations
+
+from collections.abc import Callable
+import re
+import typing
+from typing import Any, TypeVar
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib import _api
+
+
+if typing.TYPE_CHECKING:
+    from typing_extensions import Self
+
+T = TypeVar('T')
+
+
+@pytest.mark.parametrize('target,shape_repr,test_shape',
+                         [((None, ), "(N,)", (1, 3)),
+                          ((None, 3), "(N, 3)", (1,)),
+                          ((None, 3), "(N, 3)", (1, 2)),
+                          ((1, 5), "(1, 5)", (1, 9)),
+                          ((None, 2, None), "(M, 2, N)", (1, 3, 1))
+                          ])
+def test_check_shape(target: tuple[int | None, ...],
+                     shape_repr: str,
+                     test_shape: tuple[int, ...]) -> None:
+    error_pattern = "^" + re.escape(
+        f"'aardvark' must be {len(target)}D with shape {shape_repr}, but your input "
+        f"has shape {test_shape}")
+    data = np.zeros(test_shape)
+    with pytest.raises(ValueError, match=error_pattern):
+        _api.check_shape(target, aardvark=data)
+
+
+def test_classproperty_deprecation() -> None:
+    class A:
+        @_api.deprecated("0.0.0")
+        @_api.classproperty
+        def f(cls: Self) -> None:
+            pass
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        A.f
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        a = A()
+        a.f
+
+
+def test_warn_deprecated():
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'foo was deprecated in Matplotlib 3\.10 and will be '
+                            r'removed in 3\.12\.'):
+        _api.warn_deprecated('3.10', name='foo')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'The foo class was deprecated in Matplotlib 3\.10 and '
+                            r'will be removed in 3\.12\.'):
+        _api.warn_deprecated('3.10', name='foo', obj_type='class')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'foo was deprecated in Matplotlib 3\.10 and will be '
+                            r'removed in 3\.12\. Use bar instead\.'):
+        _api.warn_deprecated('3.10', name='foo', alternative='bar')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'foo was deprecated in Matplotlib 3\.10 and will be '
+                            r'removed in 3\.12\. More information\.'):
+        _api.warn_deprecated('3.10', name='foo', addendum='More information.')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'foo was deprecated in Matplotlib 3\.10 and will be '
+                            r'removed in 4\.0\.'):
+        _api.warn_deprecated('3.10', name='foo', removal='4.0')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match=r'foo was deprecated in Matplotlib 3\.10\.'):
+        _api.warn_deprecated('3.10', name='foo', removal=False)
+    with pytest.warns(PendingDeprecationWarning,
+                      match=r'foo will be deprecated in a future version'):
+        _api.warn_deprecated('3.10', name='foo', pending=True)
+    with pytest.raises(ValueError, match=r'cannot have a scheduled removal'):
+        _api.warn_deprecated('3.10', name='foo', pending=True, removal='3.12')
+    with pytest.warns(mpl.MatplotlibDeprecationWarning, match=r'Complete replacement'):
+        _api.warn_deprecated('3.10', message='Complete replacement', name='foo',
+                             alternative='bar', addendum='More information.',
+                             obj_type='class', removal='4.0')
+
+
+def test_deprecate_privatize_attribute() -> None:
+    class C:
+        def __init__(self) -> None: self._attr = 1
+        def _meth(self, arg: T) -> T: return arg
+        attr: int = _api.deprecate_privatize_attribute("0.0")
+        meth: Callable = _api.deprecate_privatize_attribute("0.0")
+
+    c = C()
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        assert c.attr == 1
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        c.attr = 2
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        assert c.attr == 2
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        assert c.meth(42) == 42
+
+
+def test_delete_parameter() -> None:
+    @_api.delete_parameter("3.0", "foo")
+    def func1(foo: Any = None) -> None:
+        pass
+
+    @_api.delete_parameter("3.0", "foo")
+    def func2(**kwargs: Any) -> None:
+        pass
+
+    for func in [func1, func2]:  # type: ignore[list-item]
+        func()  # No warning.
+        with pytest.warns(mpl.MatplotlibDeprecationWarning):
+            func(foo="bar")
+
+    def pyplot_wrapper(foo: Any = _api.deprecation._deprecated_parameter) -> None:
+        func1(foo)
+
+    pyplot_wrapper()  # No warning.
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        func(foo="bar")
+
+
+def test_make_keyword_only() -> None:
+    @_api.make_keyword_only("3.0", "arg")
+    def func(pre: Any, arg: Any, post: Any = None) -> None:
+        pass
+
+    func(1, arg=2)  # Check that no warning is emitted.
+
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        func(1, 2)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        func(1, 2, 3)
+
+
+def test_deprecation_alternative() -> None:
+    alternative = "`.f1`, `f2`, `f3(x) <.f3>` or `f4(x)<f4>`"
+    @_api.deprecated("1", alternative=alternative)
+    def f() -> None:
+        pass
+    if f.__doc__ is None:
+        pytest.skip('Documentation is disabled')
+    assert alternative in f.__doc__
+
+
+def test_empty_check_in_list() -> None:
+    with pytest.raises(TypeError, match="No argument to check!"):
+        _api.check_in_list(["a"])
diff --git a/lib/matplotlib/tests/test_arrow_patches.py b/lib/matplotlib/tests/test_arrow_patches.py
index a81a6dd41502..c2b6d4fa8086 100644
--- a/lib/matplotlib/tests/test_arrow_patches.py
+++ b/lib/matplotlib/tests/test_arrow_patches.py
@@ -1,11 +1,8 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import pytest
+import platform
 import matplotlib.pyplot as plt
 from matplotlib.testing.decorators import image_comparison
-import matplotlib
+import matplotlib.patches as mpatches
 
 
 def draw_arrow(ax, t, r):
@@ -14,43 +11,169 @@ def draw_arrow(ax, t, r):
                                 fc="b", ec='k'))
 
 
-@image_comparison(baseline_images=['fancyarrow_test_image'])
+@image_comparison(['fancyarrow_test_image.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.012)
 def test_fancyarrow():
-    r = [0.4, 0.3, 0.2, 0.1]
-    t = ["fancy", "simple", matplotlib.patches.ArrowStyle.Fancy()]
+    # Added 0 to test division by zero error described in issue 3930
+    r = [0.4, 0.3, 0.2, 0.1, 0]
+    t = ["fancy", "simple", mpatches.ArrowStyle.Fancy()]
 
-    fig, axes = plt.subplots(len(t), len(r), squeeze=False,
-                             subplot_kw=dict(aspect=True),
-                             figsize=(8, 4.5))
+    fig, axs = plt.subplots(len(t), len(r), squeeze=False,
+                            figsize=(8, 4.5), subplot_kw=dict(aspect=1))
 
     for i_r, r1 in enumerate(r):
         for i_t, t1 in enumerate(t):
-            ax = axes[i_t, i_r]
+            ax = axs[i_t, i_r]
             draw_arrow(ax, t1, r1)
             ax.tick_params(labelleft=False, labelbottom=False)
 
 
-@image_comparison(baseline_images=['boxarrow_test_image'], extensions=['png'])
+@image_comparison(['boxarrow_test_image.png'])
 def test_boxarrow():
 
-    styles = matplotlib.patches.BoxStyle.get_styles()
+    styles = mpatches.BoxStyle.get_styles()
 
     n = len(styles)
     spacing = 1.2
 
     figheight = (n * spacing + .5)
-    fig1 = plt.figure(1, figsize=(4 / 1.5, figheight / 1.5))
+    fig = plt.figure(figsize=(4 / 1.5, figheight / 1.5))
 
     fontsize = 0.3 * 72
 
-    for i, stylename in enumerate(sorted(styles.keys())):
-        fig1.text(0.5, ((n - i) * spacing - 0.5)/figheight, stylename,
-                  ha="center",
-                  size=fontsize,
-                  transform=fig1.transFigure,
-                  bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+    for i, stylename in enumerate(sorted(styles)):
+        fig.text(0.5, ((n - i) * spacing - 0.5)/figheight, stylename,
+                 ha="center",
+                 size=fontsize,
+                 transform=fig.transFigure,
+                 bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+
+
+def __prepare_fancyarrow_dpi_cor_test():
+    """
+    Convenience function that prepares and returns a FancyArrowPatch. It aims
+    at being used to test that the size of the arrow head does not depend on
+    the DPI value of the exported picture.
+
+    NB: this function *is not* a test in itself!
+    """
+    fig2 = plt.figure("fancyarrow_dpi_cor_test", figsize=(4, 3), dpi=50)
+    ax = fig2.add_subplot()
+    ax.set_xlim([0, 1])
+    ax.set_ylim([0, 1])
+    ax.add_patch(mpatches.FancyArrowPatch(posA=(0.3, 0.4), posB=(0.8, 0.6),
+                                          lw=3, arrowstyle='->',
+                                          mutation_scale=100))
+    return fig2
+
+
+@image_comparison(['fancyarrow_dpi_cor_100dpi.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.02,
+                  savefig_kwarg=dict(dpi=100))
+def test_fancyarrow_dpi_cor_100dpi():
+    """
+    Check the export of a FancyArrowPatch @ 100 DPI. FancyArrowPatch is
+    instantiated through a dedicated function because another similar test
+    checks a similar export but with a different DPI value.
+
+    Remark: test only a rasterized format.
+    """
+
+    __prepare_fancyarrow_dpi_cor_test()
+
+
+@image_comparison(['fancyarrow_dpi_cor_200dpi.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.02,
+                  savefig_kwarg=dict(dpi=200))
+def test_fancyarrow_dpi_cor_200dpi():
+    """
+    As test_fancyarrow_dpi_cor_100dpi, but exports @ 200 DPI. The relative size
+    of the arrow head should be the same.
+    """
+
+    __prepare_fancyarrow_dpi_cor_test()
+
+
+@image_comparison(['fancyarrow_dash.png'], remove_text=True, style='default')
+def test_fancyarrow_dash():
+    fig, ax = plt.subplots()
+    e = mpatches.FancyArrowPatch((0, 0), (0.5, 0.5),
+                                 arrowstyle='-|>',
+                                 connectionstyle='angle3,angleA=0,angleB=90',
+                                 mutation_scale=10.0,
+                                 linewidth=2,
+                                 linestyle='dashed',
+                                 color='k')
+    e2 = mpatches.FancyArrowPatch((0, 0), (0.5, 0.5),
+                                  arrowstyle='-|>',
+                                  connectionstyle='angle3',
+                                  mutation_scale=10.0,
+                                  linewidth=2,
+                                  linestyle='dotted',
+                                  color='k')
+    ax.add_patch(e)
+    ax.add_patch(e2)
+
+
+@image_comparison(['arrow_styles.png'], style='mpl20', remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.02)
+def test_arrow_styles():
+    styles = mpatches.ArrowStyle.get_styles()
 
+    n = len(styles)
+    fig, ax = plt.subplots(figsize=(8, 8))
+    ax.set_xlim(0, 1)
+    ax.set_ylim(-1, n)
+    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
+
+    for i, stylename in enumerate(sorted(styles)):
+        patch = mpatches.FancyArrowPatch((0.1 + (i % 2)*0.05, i),
+                                         (0.45 + (i % 2)*0.05, i),
+                                         arrowstyle=stylename,
+                                         mutation_scale=25)
+        ax.add_patch(patch)
+
+    for i, stylename in enumerate([']-[', ']-', '-[', '|-|']):
+        style = stylename
+        if stylename[0] != '-':
+            style += ',angleA=ANGLE'
+        if stylename[-1] != '-':
+            style += ',angleB=ANGLE'
+
+        for j, angle in enumerate([-30, 60]):
+            arrowstyle = style.replace('ANGLE', str(angle))
+            patch = mpatches.FancyArrowPatch((0.55, 2*i + j), (0.9, 2*i + j),
+                                             arrowstyle=arrowstyle,
+                                             mutation_scale=25)
+            ax.add_patch(patch)
+
+
+@image_comparison(['connection_styles.png'], style='mpl20', remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.013)
+def test_connection_styles():
+    styles = mpatches.ConnectionStyle.get_styles()
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    n = len(styles)
+    fig, ax = plt.subplots(figsize=(6, 10))
+    ax.set_xlim(0, 1)
+    ax.set_ylim(-1, n)
+
+    for i, stylename in enumerate(sorted(styles)):
+        patch = mpatches.FancyArrowPatch((0.1, i), (0.8, i + 0.5),
+                                         arrowstyle="->",
+                                         connectionstyle=stylename,
+                                         mutation_scale=25)
+        ax.add_patch(patch)
+
+
+def test_invalid_intersection():
+    conn_style_1 = mpatches.ConnectionStyle.Angle3(angleA=20, angleB=200)
+    p1 = mpatches.FancyArrowPatch((.2, .2), (.5, .5),
+                                  connectionstyle=conn_style_1)
+    with pytest.raises(ValueError):
+        plt.gca().add_patch(p1)
+
+    conn_style_2 = mpatches.ConnectionStyle.Angle3(angleA=20, angleB=199.9)
+    p2 = mpatches.FancyArrowPatch((.2, .2), (.5, .5),
+                                  connectionstyle=conn_style_2)
+    plt.gca().add_patch(p2)
diff --git a/lib/matplotlib/tests/test_artist.py b/lib/matplotlib/tests/test_artist.py
index 56a38f2a772d..5c8141e40741 100644
--- a/lib/matplotlib/tests/test_artist.py
+++ b/lib/matplotlib/tests/test_artist.py
@@ -1,32 +1,34 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import io
+from itertools import chain
 
 import numpy as np
 
+import pytest
+
+import matplotlib.colors as mcolors
 import matplotlib.pyplot as plt
 import matplotlib.patches as mpatches
+import matplotlib.lines as mlines
 import matplotlib.path as mpath
-import matplotlib.transforms as mtrans
+import matplotlib.transforms as mtransforms
 import matplotlib.collections as mcollections
-from matplotlib.testing.decorators import image_comparison, cleanup
+import matplotlib.artist as martist
+import matplotlib.backend_bases as mbackend_bases
+import matplotlib as mpl
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
 
 
-@cleanup
 def test_patch_transform_of_none():
     # tests the behaviour of patches added to an Axes with various transform
     # specifications
 
     ax = plt.axes()
-    ax.set_xlim([1, 3])
-    ax.set_ylim([1, 3])
+    ax.set_xlim(1, 3)
+    ax.set_ylim(1, 3)
 
-    # Draw an ellipse over data coord (2,2) by specifying device coords.
+    # Draw an ellipse over data coord (2, 2) by specifying device coords.
     xy_data = (2, 2)
-    xy_pix = ax.transData.transform_point(xy_data)
+    xy_pix = ax.transData.transform(xy_data)
 
     # Not providing a transform of None puts the ellipse in data coordinates .
     e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
@@ -36,40 +38,39 @@ def test_patch_transform_of_none():
     # Providing a transform of None puts the ellipse in device coordinates.
     e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
                          transform=None, alpha=0.5)
-    assert e.is_transform_set() is True
+    assert e.is_transform_set()
     ax.add_patch(e)
-    assert isinstance(e._transform, mtrans.IdentityTransform)
+    assert isinstance(e._transform, mtransforms.IdentityTransform)
 
     # Providing an IdentityTransform puts the ellipse in device coordinates.
     e = mpatches.Ellipse(xy_pix, width=100, height=100,
-                         transform=mtrans.IdentityTransform(), alpha=0.5)
+                         transform=mtransforms.IdentityTransform(), alpha=0.5)
     ax.add_patch(e)
-    assert isinstance(e._transform, mtrans.IdentityTransform)
+    assert isinstance(e._transform, mtransforms.IdentityTransform)
 
     # Not providing a transform, and then subsequently "get_transform" should
     # not mean that "is_transform_set".
     e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
                          alpha=0.5)
     intermediate_transform = e.get_transform()
-    assert e.is_transform_set() is False
+    assert not e.is_transform_set()
     ax.add_patch(e)
     assert e.get_transform() != intermediate_transform
-    assert e.is_transform_set() is True
+    assert e.is_transform_set()
     assert e._transform == ax.transData
 
 
-@cleanup
 def test_collection_transform_of_none():
     # tests the behaviour of collections added to an Axes with various
     # transform specifications
 
     ax = plt.axes()
-    ax.set_xlim([1, 3])
-    ax.set_ylim([1, 3])
+    ax.set_xlim(1, 3)
+    ax.set_ylim(1, 3)
 
-    #draw an ellipse over data coord (2,2) by specifying device coords
+    # draw an ellipse over data coord (2, 2) by specifying device coords
     xy_data = (2, 2)
-    xy_pix = ax.transData.transform_point(xy_data)
+    xy_pix = ax.transData.transform(xy_data)
 
     # not providing a transform of None puts the ellipse in data coordinates
     e = mpatches.Ellipse(xy_data, width=1, height=1)
@@ -84,38 +85,36 @@ def test_collection_transform_of_none():
                                      alpha=0.5)
     c.set_transform(None)
     ax.add_collection(c)
-    assert isinstance(c.get_transform(), mtrans.IdentityTransform)
+    assert isinstance(c.get_transform(), mtransforms.IdentityTransform)
 
     # providing an IdentityTransform puts the ellipse in device coordinates
     e = mpatches.Ellipse(xy_pix, width=100, height=100)
-    c = mcollections.PatchCollection([e], transform=mtrans.IdentityTransform(),
+    c = mcollections.PatchCollection([e],
+                                     transform=mtransforms.IdentityTransform(),
                                      alpha=0.5)
     ax.add_collection(c)
-    assert isinstance(c._transOffset, mtrans.IdentityTransform)
+    assert isinstance(c.get_offset_transform(), mtransforms.IdentityTransform)
 
 
-@image_comparison(baseline_images=["clip_path_clipping"], remove_text=True)
+@image_comparison(["clip_path_clipping"], remove_text=True)
 def test_clipping():
     exterior = mpath.Path.unit_rectangle().deepcopy()
     exterior.vertices *= 4
     exterior.vertices -= 2
     interior = mpath.Path.unit_circle().deepcopy()
     interior.vertices = interior.vertices[::-1]
-    clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
-                                                    interior.vertices]),
-                           codes=np.concatenate([exterior.codes,
-                                                 interior.codes]))
+    clip_path = mpath.Path.make_compound_path(exterior, interior)
 
     star = mpath.Path.unit_regular_star(6).deepcopy()
     star.vertices *= 2.6
 
-    ax1 = plt.subplot(121)
+    fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)
+
     col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
                                       facecolor='red', alpha=0.7, hatch='*')
     col.set_clip_path(clip_path, ax1.transData)
     ax1.add_collection(col)
 
-    ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
     patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
                                alpha=0.7, hatch='*')
     patch.set_clip_path(clip_path, ax2.transData)
@@ -125,13 +124,30 @@ def test_clipping():
     ax1.set_ylim([-3, 3])
 
 
-@cleanup
+@check_figures_equal()
+def test_clipping_zoom(fig_test, fig_ref):
+    # This test places the Axes and sets its limits such that the clip path is
+    # outside the figure entirely. This should not break the clip path.
+    ax_test = fig_test.add_axes([0, 0, 1, 1])
+    l, = ax_test.plot([-3, 3], [-3, 3])
+    # Explicit Path instead of a Rectangle uses clip path processing, instead
+    # of a clip box optimization.
+    p = mpath.Path([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
+    p = mpatches.PathPatch(p, transform=ax_test.transData)
+    l.set_clip_path(p)
+
+    ax_ref = fig_ref.add_axes([0, 0, 1, 1])
+    ax_ref.plot([-3, 3], [-3, 3])
+
+    ax_ref.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
+    ax_test.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
+
+
 def test_cull_markers():
     x = np.random.random(20000)
     y = np.random.random(20000)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y, 'k.')
     ax.set_xlim(2, 3)
 
@@ -144,6 +160,439 @@ def test_cull_markers():
     assert len(svg.getvalue()) < 20000
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+@image_comparison(['hatching'], remove_text=True, style='default')
+def test_hatching():
+    fig, ax = plt.subplots(1, 1)
+
+    # Default hatch color.
+    rect1 = mpatches.Rectangle((0, 0), 3, 4, hatch='/')
+    ax.add_patch(rect1)
+
+    rect2 = mcollections.RegularPolyCollection(
+        4, sizes=[16000], offsets=[(1.5, 6.5)], offset_transform=ax.transData,
+        hatch='/')
+    ax.add_collection(rect2)
+
+    # Ensure edge color is not applied to hatching.
+    rect3 = mpatches.Rectangle((4, 0), 3, 4, hatch='/', edgecolor='C1')
+    ax.add_patch(rect3)
+
+    rect4 = mcollections.RegularPolyCollection(
+        4, sizes=[16000], offsets=[(5.5, 6.5)], offset_transform=ax.transData,
+        hatch='/', edgecolor='C1')
+    ax.add_collection(rect4)
+
+    ax.set_xlim(0, 7)
+    ax.set_ylim(0, 9)
+
+
+def test_remove():
+    fig, ax = plt.subplots()
+    im = ax.imshow(np.arange(36).reshape(6, 6))
+    ln, = ax.plot(range(5))
+
+    assert fig.stale
+    assert ax.stale
+
+    fig.canvas.draw()
+    assert not fig.stale
+    assert not ax.stale
+    assert not ln.stale
+
+    assert im in ax._mouseover_set
+    assert ln not in ax._mouseover_set
+    assert im.axes is ax
+
+    im.remove()
+    ln.remove()
+
+    for art in [im, ln]:
+        assert art.axes is None
+        assert art.get_figure() is None
+
+    assert im not in ax._mouseover_set
+    assert fig.stale
+    assert ax.stale
+
+
+@image_comparison(["default_edges.png"], remove_text=True, style='default')
+def test_default_edges():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2)
+
+    ax1.plot(np.arange(10), np.arange(10), 'x',
+             np.arange(10) + 1, np.arange(10), 'o')
+    ax2.bar(np.arange(10), np.arange(10), align='edge')
+    ax3.text(0, 0, "BOX", size=24, bbox=dict(boxstyle='sawtooth'))
+    ax3.set_xlim((-1, 1))
+    ax3.set_ylim((-1, 1))
+    pp1 = mpatches.PathPatch(
+        mpath.Path([(0, 0), (1, 0), (1, 1), (0, 0)],
+                   [mpath.Path.MOVETO, mpath.Path.CURVE3,
+                    mpath.Path.CURVE3, mpath.Path.CLOSEPOLY]),
+        fc="none", transform=ax4.transData)
+    ax4.add_patch(pp1)
+
+
+def test_properties():
+    ln = mlines.Line2D([], [])
+    ln.properties()  # Check that no warning is emitted.
+
+
+def test_setp():
+    # Check empty list
+    plt.setp([])
+    plt.setp([[]])
+
+    # Check arbitrary iterables
+    fig, ax = plt.subplots()
+    lines1 = ax.plot(range(3))
+    lines2 = ax.plot(range(3))
+    martist.setp(chain(lines1, lines2), 'lw', 5)
+    plt.setp(ax.spines.values(), color='green')
+
+    # Check *file* argument
+    sio = io.StringIO()
+    plt.setp(lines1, 'zorder', file=sio)
+    assert sio.getvalue() == '  zorder: float\n'
+
+
+def test_None_zorder():
+    fig, ax = plt.subplots()
+    ln, = ax.plot(range(5), zorder=None)
+    assert ln.get_zorder() == mlines.Line2D.zorder
+    ln.set_zorder(123456)
+    assert ln.get_zorder() == 123456
+    ln.set_zorder(None)
+    assert ln.get_zorder() == mlines.Line2D.zorder
+
+
+@pytest.mark.parametrize('accept_clause, expected', [
+    ('', 'unknown'),
+    ("ACCEPTS: [ '-' | '--' | '-.' ]", "[ '-' | '--' | '-.' ]"),
+    ('ACCEPTS: Some description.', 'Some description.'),
+    ('.. ACCEPTS: Some description.', 'Some description.'),
+    ('arg : int', 'int'),
+    ('*arg : int', 'int'),
+    ('arg : int\nACCEPTS: Something else.', 'Something else. '),
+])
+def test_artist_inspector_get_valid_values(accept_clause, expected):
+    class TestArtist(martist.Artist):
+        def set_f(self, arg):
+            pass
+
+    TestArtist.set_f.__doc__ = """
+    Some text.
+
+    %s
+    """ % accept_clause
+    valid_values = martist.ArtistInspector(TestArtist).get_valid_values('f')
+    assert valid_values == expected
+
+
+def test_artist_inspector_get_aliases():
+    # test the correct format and type of get_aliases method
+    ai = martist.ArtistInspector(mlines.Line2D)
+    aliases = ai.get_aliases()
+    assert aliases["linewidth"] == {"lw"}
+
+
+def test_set_alpha():
+    art = martist.Artist()
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art.set_alpha('string')
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art.set_alpha([1, 2, 3])
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art.set_alpha(1.1)
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art.set_alpha(np.nan)
+
+
+def test_set_alpha_for_array():
+    art = martist.Artist()
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art._set_alpha_for_array('string')
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art._set_alpha_for_array(1.1)
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art._set_alpha_for_array(np.nan)
+    with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
+        art._set_alpha_for_array([0.5, 1.1])
+    with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
+        art._set_alpha_for_array([0.5, np.nan])
+
+
+def test_callbacks():
+    def func(artist):
+        func.counter += 1
+
+    func.counter = 0
+
+    art = martist.Artist()
+    oid = art.add_callback(func)
+    assert func.counter == 0
+    art.pchanged()  # must call the callback
+    assert func.counter == 1
+    art.set_zorder(10)  # setting a property must also call the callback
+    assert func.counter == 2
+    art.remove_callback(oid)
+    art.pchanged()  # must not call the callback anymore
+    assert func.counter == 2
+
+
+def test_set_signature():
+    """Test autogenerated ``set()`` for Artist subclasses."""
+    class MyArtist1(martist.Artist):
+        def set_myparam1(self, val):
+            pass
+
+    assert hasattr(MyArtist1.set, '_autogenerated_signature')
+    assert 'myparam1' in MyArtist1.set.__doc__
+
+    class MyArtist2(MyArtist1):
+        def set_myparam2(self, val):
+            pass
+
+    assert hasattr(MyArtist2.set, '_autogenerated_signature')
+    assert 'myparam1' in MyArtist2.set.__doc__
+    assert 'myparam2' in MyArtist2.set.__doc__
+
+
+def test_set_is_overwritten():
+    """set() defined in Artist subclasses should not be overwritten."""
+    class MyArtist3(martist.Artist):
+
+        def set(self, **kwargs):
+            """Not overwritten."""
+
+    assert not hasattr(MyArtist3.set, '_autogenerated_signature')
+    assert MyArtist3.set.__doc__ == "Not overwritten."
+
+    class MyArtist4(MyArtist3):
+        pass
+
+    assert MyArtist4.set is MyArtist3.set
+
+
+def test_format_cursor_data_BoundaryNorm():
+    """Test if cursor data is correct when using BoundaryNorm."""
+    X = np.empty((3, 3))
+    X[0, 0] = 0.9
+    X[0, 1] = 0.99
+    X[0, 2] = 0.999
+    X[1, 0] = -1
+    X[1, 1] = 0
+    X[1, 2] = 1
+    X[2, 0] = 0.09
+    X[2, 1] = 0.009
+    X[2, 2] = 0.0009
+
+    # map range -1..1 to 0..256 in 0.1 steps
+    fig, ax = plt.subplots()
+    fig.suptitle("-1..1 to 0..256 in 0.1")
+    norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 20), 256)
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+
+    labels_list = [
+        "[0.9]",
+        "[1.]",
+        "[1.]",
+        "[-1.0]",
+        "[0.0]",
+        "[1.0]",
+        "[0.09]",
+        "[0.009]",
+        "[0.0009]",
+    ]
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.1))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    # map range -1..1 to 0..256 in 0.01 steps
+    fig, ax = plt.subplots()
+    fig.suptitle("-1..1 to 0..256 in 0.01")
+    cmap = mpl.colormaps['RdBu_r'].resampled(200)
+    norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 200), 200)
+    img = ax.imshow(X, cmap=cmap, norm=norm)
+
+    labels_list = [
+        "[0.90]",
+        "[0.99]",
+        "[1.0]",
+        "[-1.00]",
+        "[0.00]",
+        "[1.00]",
+        "[0.09]",
+        "[0.009]",
+        "[0.0009]",
+    ]
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.01))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    # map range -1..1 to 0..256 in 0.01 steps
+    fig, ax = plt.subplots()
+    fig.suptitle("-1..1 to 0..256 in 0.001")
+    cmap = mpl.colormaps['RdBu_r'].resampled(2000)
+    norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 2000), 2000)
+    img = ax.imshow(X, cmap=cmap, norm=norm)
+
+    labels_list = [
+        "[0.900]",
+        "[0.990]",
+        "[0.999]",
+        "[-1.000]",
+        "[0.000]",
+        "[1.000]",
+        "[0.090]",
+        "[0.009]",
+        "[0.0009]",
+    ]
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.001))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    # different testing data set with
+    # out of bounds values for 0..1 range
+    X = np.empty((7, 1))
+    X[0] = -1.0
+    X[1] = 0.0
+    X[2] = 0.1
+    X[3] = 0.5
+    X[4] = 0.9
+    X[5] = 1.0
+    X[6] = 2.0
+
+    labels_list = [
+        "[-1.0]",
+        "[0.0]",
+        "[0.1]",
+        "[0.5]",
+        "[0.9]",
+        "[1.0]",
+        "[2.0]",
+    ]
+
+    fig, ax = plt.subplots()
+    fig.suptitle("noclip, neither")
+    norm = mcolors.BoundaryNorm(
+        np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='neither')
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    fig, ax = plt.subplots()
+    fig.suptitle("noclip, min")
+    norm = mcolors.BoundaryNorm(
+        np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='min')
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    fig, ax = plt.subplots()
+    fig.suptitle("noclip, max")
+    norm = mcolors.BoundaryNorm(
+        np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='max')
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    fig, ax = plt.subplots()
+    fig.suptitle("noclip, both")
+    norm = mcolors.BoundaryNorm(
+        np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='both')
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+    fig, ax = plt.subplots()
+    fig.suptitle("clip, neither")
+    norm = mcolors.BoundaryNorm(
+        np.linspace(0, 1, 4, endpoint=True), 256, clip=True, extend='neither')
+    img = ax.imshow(X, cmap='RdBu_r', norm=norm)
+    for v, label in zip(X.flat, labels_list):
+        # label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
+        assert img.format_cursor_data(v) == label
+
+    plt.close()
+
+
+def test_auto_no_rasterize():
+    class Gen1(martist.Artist):
+        ...
+
+    assert 'draw' in Gen1.__dict__
+    assert Gen1.__dict__['draw'] is Gen1.draw
+
+    class Gen2(Gen1):
+        ...
+
+    assert 'draw' not in Gen2.__dict__
+    assert Gen2.draw is Gen1.draw
+
+
+def test_draw_wraper_forward_input():
+    class TestKlass(martist.Artist):
+        def draw(self, renderer, extra):
+            return extra
+
+    art = TestKlass()
+    renderer = mbackend_bases.RendererBase()
+
+    assert 'aardvark' == art.draw(renderer, 'aardvark')
+    assert 'aardvark' == art.draw(renderer, extra='aardvark')
+
+
+def test_get_figure():
+    fig = plt.figure()
+    sfig1 = fig.subfigures()
+    sfig2 = sfig1.subfigures()
+    ax = sfig2.subplots()
+
+    assert fig.get_figure(root=True) is fig
+    assert fig.get_figure(root=False) is fig
+
+    assert ax.get_figure() is sfig2
+    assert ax.get_figure(root=False) is sfig2
+    assert ax.get_figure(root=True) is fig
+
+    # SubFigure.get_figure has separate implementation but should give consistent
+    # results to other artists.
+    assert sfig2.get_figure(root=False) is sfig1
+    assert sfig2.get_figure(root=True) is fig
+    # Currently different results by default.
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        assert sfig2.get_figure() is fig
+    # No deprecation warning if root and parent figure are the same.
+    assert sfig1.get_figure() is fig
+
+    # An artist not yet attached to anything has no figure.
+    ln = mlines.Line2D([], [])
+    assert ln.get_figure(root=True) is None
+    assert ln.get_figure(root=False) is None
+
+    # figure attribute is root for (Sub)Figures but parent for other artists.
+    assert ax.figure is sfig2
+    assert fig.figure is fig
+    assert sfig2.figure is fig
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index b343f416066f..ae2e91b811f1 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1,30 +1,245 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
+import contextlib
+from collections import namedtuple, deque
+import datetime
+from decimal import Decimal
+from functools import partial
+import gc
+import inspect
 import io
+from itertools import product
+import platform
+import sys
+from types import SimpleNamespace
 
-from nose.tools import assert_equal, assert_raises
-import datetime
+import dateutil.tz
 
 import numpy as np
 from numpy import ma
+from cycler import cycler
+import pytest
 
 import matplotlib
-from matplotlib.testing.decorators import image_comparison, cleanup
+import matplotlib as mpl
+from matplotlib import rc_context, patheffects
+import matplotlib.colors as mcolors
+import matplotlib.dates as mdates
+from matplotlib.container import BarContainer
+from matplotlib.figure import Figure
+from matplotlib.axes import Axes
+from matplotlib.lines import Line2D
+from matplotlib.collections import PathCollection
+import matplotlib.font_manager as mfont_manager
+import matplotlib.markers as mmarkers
+import matplotlib.patches as mpatches
+import matplotlib.path as mpath
+from matplotlib.projections.geo import HammerAxes
+from matplotlib.projections.polar import PolarAxes
 import matplotlib.pyplot as plt
-from numpy.testing import assert_array_equal
-import warnings
+import matplotlib.text as mtext
+import matplotlib.ticker as mticker
+import matplotlib.transforms as mtransforms
+import mpl_toolkits.axisartist as AA  # type: ignore[import]
+from numpy.testing import (
+    assert_allclose, assert_array_equal, assert_array_almost_equal)
+from matplotlib.testing.decorators import (
+    image_comparison, check_figures_equal, remove_ticks_and_titles)
+from matplotlib.testing._markers import needs_usetex
+
+# Note: Some test cases are run twice: once normally and once with labeled data
+#       These two must be defined in the same test function or need to have
+#       different baseline images to prevent race conditions when pytest runs
+#       the tests with multiple threads.
+
+
+@check_figures_equal()
+def test_invisible_axes(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    ax.set_visible(False)
+
+
+def test_get_labels():
+    fig, ax = plt.subplots()
+    ax.set_xlabel('x label')
+    ax.set_ylabel('y label')
+    assert ax.get_xlabel() == 'x label'
+    assert ax.get_ylabel() == 'y label'
+
+
+def test_repr():
+    fig, ax = plt.subplots()
+    ax.set_label('label')
+    ax.set_title('title')
+    ax.set_xlabel('x')
+    ax.set_ylabel('y')
+    assert repr(ax) == (
+        "<Axes: "
+        "label='label', title={'center': 'title'}, xlabel='x', ylabel='y'>")
+
+
+@check_figures_equal()
+def test_label_loc_vertical(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+    ax.legend()
+    ax.set_ylabel('Y Label', loc='top')
+    ax.set_xlabel('X Label', loc='right')
+    cbar = fig_test.colorbar(sc)
+    cbar.set_label("Z Label", loc='top')
+
+    ax = fig_ref.subplots()
+    sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+    ax.legend()
+    ax.set_ylabel('Y Label', y=1, ha='right')
+    ax.set_xlabel('X Label', x=1, ha='right')
+    cbar = fig_ref.colorbar(sc)
+    cbar.set_label("Z Label", y=1, ha='right')
 
 
-@image_comparison(baseline_images=['formatter_ticker_001',
-                                   'formatter_ticker_002',
-                                   'formatter_ticker_003',
-                                   'formatter_ticker_004',
-                                   'formatter_ticker_005',
-                                   ])
+@check_figures_equal()
+def test_label_loc_horizontal(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+    ax.legend()
+    ax.set_ylabel('Y Label', loc='bottom')
+    ax.set_xlabel('X Label', loc='left')
+    cbar = fig_test.colorbar(sc, orientation='horizontal')
+    cbar.set_label("Z Label", loc='left')
+
+    ax = fig_ref.subplots()
+    sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+    ax.legend()
+    ax.set_ylabel('Y Label', y=0, ha='left')
+    ax.set_xlabel('X Label', x=0, ha='left')
+    cbar = fig_ref.colorbar(sc, orientation='horizontal')
+    cbar.set_label("Z Label", x=0, ha='left')
+
+
+@check_figures_equal()
+def test_label_loc_rc(fig_test, fig_ref):
+    with matplotlib.rc_context({"xaxis.labellocation": "right",
+                                "yaxis.labellocation": "top"}):
+        ax = fig_test.subplots()
+        sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+        ax.legend()
+        ax.set_ylabel('Y Label')
+        ax.set_xlabel('X Label')
+        cbar = fig_test.colorbar(sc, orientation='horizontal')
+        cbar.set_label("Z Label")
+
+    ax = fig_ref.subplots()
+    sc = ax.scatter([1, 2], [1, 2], c=[1, 2], label='scatter')
+    ax.legend()
+    ax.set_ylabel('Y Label', y=1, ha='right')
+    ax.set_xlabel('X Label', x=1, ha='right')
+    cbar = fig_ref.colorbar(sc, orientation='horizontal')
+    cbar.set_label("Z Label", x=1, ha='right')
+
+
+def test_label_shift():
+    fig, ax = plt.subplots()
+
+    # Test label re-centering on x-axis
+    ax.set_xlabel("Test label", loc="left")
+    ax.set_xlabel("Test label", loc="center")
+    assert ax.xaxis.label.get_horizontalalignment() == "center"
+    ax.set_xlabel("Test label", loc="right")
+    assert ax.xaxis.label.get_horizontalalignment() == "right"
+    ax.set_xlabel("Test label", loc="center")
+    assert ax.xaxis.label.get_horizontalalignment() == "center"
+
+    # Test label re-centering on y-axis
+    ax.set_ylabel("Test label", loc="top")
+    ax.set_ylabel("Test label", loc="center")
+    assert ax.yaxis.label.get_horizontalalignment() == "center"
+    ax.set_ylabel("Test label", loc="bottom")
+    assert ax.yaxis.label.get_horizontalalignment() == "left"
+    ax.set_ylabel("Test label", loc="center")
+    assert ax.yaxis.label.get_horizontalalignment() == "center"
+
+
+@check_figures_equal()
+def test_acorr(fig_test, fig_ref):
+    np.random.seed(19680801)
+    Nx = 512
+    x = np.random.normal(0, 1, Nx).cumsum()
+    maxlags = Nx-1
+
+    ax_test = fig_test.subplots()
+    ax_test.acorr(x, maxlags=maxlags)
+
+    ax_ref = fig_ref.subplots()
+    # Normalized autocorrelation
+    norm_auto_corr = np.correlate(x, x, mode="full")/np.dot(x, x)
+    lags = np.arange(-maxlags, maxlags+1)
+    norm_auto_corr = norm_auto_corr[Nx-1-maxlags:Nx+maxlags]
+    ax_ref.vlines(lags, [0], norm_auto_corr)
+    ax_ref.axhline(y=0, xmin=0, xmax=1)
+
+
+@check_figures_equal()
+def test_acorr_integers(fig_test, fig_ref):
+    np.random.seed(19680801)
+    Nx = 51
+    x = (np.random.rand(Nx) * 10).cumsum()
+    x = (np.ceil(x)).astype(np.int64)
+    maxlags = Nx-1
+
+    ax_test = fig_test.subplots()
+    ax_test.acorr(x, maxlags=maxlags)
+
+    ax_ref = fig_ref.subplots()
+
+    # Normalized autocorrelation
+    norm_auto_corr = np.correlate(x, x, mode="full")/np.dot(x, x)
+    lags = np.arange(-maxlags, maxlags+1)
+    norm_auto_corr = norm_auto_corr[Nx-1-maxlags:Nx+maxlags]
+    ax_ref.vlines(lags, [0], norm_auto_corr)
+    ax_ref.axhline(y=0, xmin=0, xmax=1)
+
+
+@check_figures_equal()
+def test_spy(fig_test, fig_ref):
+    np.random.seed(19680801)
+    a = np.ones(32 * 32)
+    a[:16 * 32] = 0
+    np.random.shuffle(a)
+    a = a.reshape((32, 32))
+
+    axs_test = fig_test.subplots(2)
+    axs_test[0].spy(a)
+    axs_test[1].spy(a, marker=".", origin="lower")
+
+    axs_ref = fig_ref.subplots(2)
+    axs_ref[0].imshow(a, cmap="gray_r", interpolation="nearest")
+    axs_ref[0].xaxis.tick_top()
+    axs_ref[1].plot(*np.nonzero(a)[::-1], ".", markersize=10)
+    axs_ref[1].set(
+        aspect=1, xlim=axs_ref[0].get_xlim(), ylim=axs_ref[0].get_ylim()[::-1])
+    for ax in axs_ref:
+        ax.xaxis.set_ticks_position("both")
+
+
+def test_spy_invalid_kwargs():
+    fig, ax = plt.subplots()
+    for unsupported_kw in [{'interpolation': 'nearest'},
+                           {'marker': 'o', 'linestyle': 'solid'}]:
+        with pytest.raises(TypeError):
+            ax.spy(np.eye(3, 3), **unsupported_kw)
+
+
+@check_figures_equal()
+def test_matshow(fig_test, fig_ref):
+    mpl.style.use("mpl20")
+    a = np.random.rand(32, 32)
+    fig_test.add_subplot().matshow(a)
+    ax_ref = fig_ref.add_subplot()
+    ax_ref.imshow(a)
+    ax_ref.xaxis.tick_top()
+    ax_ref.xaxis.set_ticks_position('both')
+
+
+@image_comparison([f'formatter_ticker_{i:03d}.png' for i in range(1, 6)],
+                  tol=0 if platform.machine() == 'x86_64' else 0.031)
 def test_formatter_ticker():
     import matplotlib.testing.jpl_units as units
     units.register()
@@ -38,48 +253,85 @@ def test_formatter_ticker():
     ydata1 = [(1.5*y - 0.5)*units.km for y in range(10)]
     ydata2 = [(1.75*y - 1.0)*units.km for y in range(10)]
 
-    fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.figure().subplots()
     ax.set_xlabel("x-label 001")
 
-    fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.figure().subplots()
     ax.set_xlabel("x-label 001")
     ax.plot(xdata, ydata1, color='blue', xunits="sec")
 
-    fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.figure().subplots()
     ax.set_xlabel("x-label 001")
     ax.plot(xdata, ydata1, color='blue', xunits="sec")
     ax.set_xlabel("x-label 003")
 
-    fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.figure().subplots()
     ax.plot(xdata, ydata1, color='blue', xunits="sec")
     ax.plot(xdata, ydata2, color='green', xunits="hour")
     ax.set_xlabel("x-label 004")
 
     # See SF bug 2846058
     # https://sourceforge.net/tracker/?func=detail&aid=2846058&group_id=80706&atid=560720
-    fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.figure().subplots()
     ax.plot(xdata, ydata1, color='blue', xunits="sec")
     ax.plot(xdata, ydata2, color='green', xunits="hour")
     ax.set_xlabel("x-label 005")
     ax.autoscale_view()
 
 
-@image_comparison(baseline_images=["formatter_large_small"])
-def test_formatter_large_small():
-    # github issue #617, pull #619
-    fig, ax = plt.subplots(1)
-    x = [0.500000001, 0.500000002]
-    y = [1e64, 1.1e64]
-    ax.plot(x, y)
+def test_funcformatter_auto_formatter():
+    def _formfunc(x, pos):
+        return ''
+
+    ax = plt.figure().subplots()
+
+    assert ax.xaxis.isDefault_majfmt
+    assert ax.xaxis.isDefault_minfmt
+    assert ax.yaxis.isDefault_majfmt
+    assert ax.yaxis.isDefault_minfmt
+
+    ax.xaxis.set_major_formatter(_formfunc)
+
+    assert not ax.xaxis.isDefault_majfmt
+    assert ax.xaxis.isDefault_minfmt
+    assert ax.yaxis.isDefault_majfmt
+    assert ax.yaxis.isDefault_minfmt
+
+    targ_funcformatter = mticker.FuncFormatter(_formfunc)
+
+    assert isinstance(ax.xaxis.get_major_formatter(),
+                      mticker.FuncFormatter)
+
+    assert ax.xaxis.get_major_formatter().func == targ_funcformatter.func
+
+
+def test_strmethodformatter_auto_formatter():
+    formstr = '{x}_{pos}'
+
+    ax = plt.figure().subplots()
+
+    assert ax.xaxis.isDefault_majfmt
+    assert ax.xaxis.isDefault_minfmt
+    assert ax.yaxis.isDefault_majfmt
+    assert ax.yaxis.isDefault_minfmt
+
+    ax.yaxis.set_minor_formatter(formstr)
 
+    assert ax.xaxis.isDefault_majfmt
+    assert ax.xaxis.isDefault_minfmt
+    assert ax.yaxis.isDefault_majfmt
+    assert not ax.yaxis.isDefault_minfmt
 
-@image_comparison(baseline_images=["twin_axis_locaters_formatters"])
-def test_twin_axis_locaters_formatters():
+    targ_strformatter = mticker.StrMethodFormatter(formstr)
+
+    assert isinstance(ax.yaxis.get_minor_formatter(),
+                      mticker.StrMethodFormatter)
+
+    assert ax.yaxis.get_minor_formatter().fmt == targ_strformatter.fmt
+
+
+@image_comparison(["twin_axis_locators_formatters.png"])
+def test_twin_axis_locators_formatters():
     vals = np.linspace(0, 1, num=5, endpoint=True)
     locs = np.sin(np.pi * vals / 2.0)
 
@@ -92,28 +344,396 @@ def test_twin_axis_locaters_formatters():
     ax1.yaxis.set_major_locator(majl)
     ax1.yaxis.set_minor_locator(minl)
     ax1.yaxis.set_major_formatter(plt.FormatStrFormatter('%08.2lf'))
-    ax1.yaxis.set_minor_formatter(plt.FixedFormatter(['tricks', 'mind', 'jedi']))
+    ax1.yaxis.set_minor_formatter(plt.FixedFormatter(['tricks', 'mind',
+                                                      'jedi']))
 
     ax1.xaxis.set_major_locator(plt.LinearLocator())
     ax1.xaxis.set_minor_locator(plt.FixedLocator([15, 35, 55, 75]))
     ax1.xaxis.set_major_formatter(plt.FormatStrFormatter('%05.2lf'))
     ax1.xaxis.set_minor_formatter(plt.FixedFormatter(['c', '3', 'p', 'o']))
-    ax2 = ax1.twiny()
-    ax3 = ax1.twinx()
+    ax1.twiny()
+    ax1.twinx()
+
+
+def test_twinx_cla():
+    fig, ax = plt.subplots()
+    ax2 = ax.twinx()
+    ax3 = ax2.twiny()
+    plt.draw()
+    assert not ax2.xaxis.get_visible()
+    assert not ax2.patch.get_visible()
+    ax2.cla()
+    ax3.cla()
+
+    assert not ax2.xaxis.get_visible()
+    assert not ax2.patch.get_visible()
+    assert ax2.yaxis.get_visible()
+
+    assert ax3.xaxis.get_visible()
+    assert not ax3.patch.get_visible()
+    assert not ax3.yaxis.get_visible()
+
+    assert ax.xaxis.get_visible()
+    assert ax.patch.get_visible()
+    assert ax.yaxis.get_visible()
+
+
+@pytest.mark.parametrize('twin', ('x', 'y'))
+def test_twin_units(twin):
+    axis_name = f'{twin}axis'
+    twin_func = f'twin{twin}'
+
+    a = ['0', '1']
+    b = ['a', 'b']
+
+    fig = Figure()
+    ax1 = fig.subplots()
+    ax1.plot(a, b)
+    assert getattr(ax1, axis_name).units is not None
+    ax2 = getattr(ax1, twin_func)()
+    assert getattr(ax2, axis_name).units is not None
+    assert getattr(ax2, axis_name).units is getattr(ax1, axis_name).units
+
+
+@pytest.mark.parametrize('twin', ('x', 'y'))
+@check_figures_equal(tol=0.19)
+def test_twin_logscale(fig_test, fig_ref, twin):
+    twin_func = f'twin{twin}'  # test twinx or twiny
+    set_scale = f'set_{twin}scale'
+    x = np.arange(1, 100)
+
+    # Change scale after twinning.
+    ax_test = fig_test.add_subplot(2, 1, 1)
+    ax_twin = getattr(ax_test, twin_func)()
+    getattr(ax_test, set_scale)('log')
+    ax_twin.plot(x, x)
+
+    # Twin after changing scale.
+    ax_test = fig_test.add_subplot(2, 1, 2)
+    getattr(ax_test, set_scale)('log')
+    ax_twin = getattr(ax_test, twin_func)()
+    ax_twin.plot(x, x)
+
+    for i in [1, 2]:
+        ax_ref = fig_ref.add_subplot(2, 1, i)
+        getattr(ax_ref, set_scale)('log')
+        ax_ref.plot(x, x)
+
+        # This is a hack because twinned Axes double-draw the frame.
+        # Remove this when that is fixed.
+        Path = matplotlib.path.Path
+        fig_ref.add_artist(
+            matplotlib.patches.PathPatch(
+                Path([[0, 0], [0, 1],
+                      [0, 1], [1, 1],
+                      [1, 1], [1, 0],
+                      [1, 0], [0, 0]],
+                     [Path.MOVETO, Path.LINETO] * 4),
+                transform=ax_ref.transAxes,
+                facecolor='none',
+                edgecolor=mpl.rcParams['axes.edgecolor'],
+                linewidth=mpl.rcParams['axes.linewidth'],
+                capstyle='projecting'))
+
+    remove_ticks_and_titles(fig_test)
+    remove_ticks_and_titles(fig_ref)
+
+
+@image_comparison(['twin_autoscale.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.009)
+def test_twinx_axis_scales():
+    x = np.array([0, 0.5, 1])
+    y = 0.5 * x
+    x2 = np.array([0, 1, 2])
+    y2 = 2 * x2
+
+    fig = plt.figure()
+    ax = fig.add_axes((0, 0, 1, 1), autoscalex_on=False, autoscaley_on=False)
+    ax.plot(x, y, color='blue', lw=10)
+
+    ax2 = plt.twinx(ax)
+    ax2.plot(x2, y2, 'r--', lw=5)
+
+    ax.margins(0, 0)
+    ax2.margins(0, 0)
+
+
+def test_twin_inherit_autoscale_setting():
+    fig, ax = plt.subplots()
+    ax_x_on = ax.twinx()
+    ax.set_autoscalex_on(False)
+    ax_x_off = ax.twinx()
+
+    assert ax_x_on.get_autoscalex_on()
+    assert not ax_x_off.get_autoscalex_on()
 
+    ax_y_on = ax.twiny()
+    ax.set_autoscaley_on(False)
+    ax_y_off = ax.twiny()
 
-@image_comparison(baseline_images=["autoscale_tiny_range"], remove_text=True)
+    assert ax_y_on.get_autoscaley_on()
+    assert not ax_y_off.get_autoscaley_on()
+
+
+def test_inverted_cla():
+    # GitHub PR #5450. Setting autoscale should reset
+    # axes to be non-inverted.
+    # plotting an image, then 1d graph, axis is now down
+    fig = plt.figure(0)
+    ax = fig.gca()
+    # 1. test that a new axis is not inverted per default
+    assert not ax.xaxis_inverted()
+    assert not ax.yaxis_inverted()
+    img = np.random.random((100, 100))
+    ax.imshow(img)
+    # 2. test that a image axis is inverted
+    assert not ax.xaxis_inverted()
+    assert ax.yaxis_inverted()
+    # 3. test that clearing and plotting a line, axes are
+    # not inverted
+    ax.cla()
+    x = np.linspace(0, 2*np.pi, 100)
+    ax.plot(x, np.cos(x))
+    assert not ax.xaxis_inverted()
+    assert not ax.yaxis_inverted()
+
+    # 4. autoscaling should not bring back axes to normal
+    ax.cla()
+    ax.imshow(img)
+    plt.autoscale()
+    assert not ax.xaxis_inverted()
+    assert ax.yaxis_inverted()
+
+    for ax in fig.axes:
+        ax.remove()
+    # 5. two shared axes. Inverting the leader axis should invert the shared
+    # axes; clearing the leader axis should bring axes in shared
+    # axes back to normal.
+    ax0 = plt.subplot(211)
+    ax1 = plt.subplot(212, sharey=ax0)
+    ax0.yaxis.set_inverted(True)
+    assert ax1.yaxis_inverted()
+    ax1.plot(x, np.cos(x))
+    ax0.cla()
+    assert not ax1.yaxis_inverted()
+    ax1.cla()
+    # 6. clearing the follower should not touch limits
+    ax0.imshow(img)
+    ax1.plot(x, np.cos(x))
+    ax1.cla()
+    assert ax.yaxis_inverted()
+
+    # clean up
+    plt.close(fig)
+
+
+def test_subclass_clear_cla():
+    # Ensure that subclasses of Axes call cla/clear correctly.
+    # Note, we cannot use mocking here as we want to be sure that the
+    # superclass fallback does not recurse.
+
+    with pytest.warns(PendingDeprecationWarning,
+                      match='Overriding `Axes.cla`'):
+        class ClaAxes(Axes):
+            def cla(self):
+                nonlocal called
+                called = True
+
+    with pytest.warns(PendingDeprecationWarning,
+                      match='Overriding `Axes.cla`'):
+        class ClaSuperAxes(Axes):
+            def cla(self):
+                nonlocal called
+                called = True
+                super().cla()
+
+    class SubClaAxes(ClaAxes):
+        pass
+
+    class ClearAxes(Axes):
+        def clear(self):
+            nonlocal called
+            called = True
+
+    class ClearSuperAxes(Axes):
+        def clear(self):
+            nonlocal called
+            called = True
+            super().clear()
+
+    class SubClearAxes(ClearAxes):
+        pass
+
+    fig = Figure()
+    for axes_class in [ClaAxes, ClaSuperAxes, SubClaAxes,
+                       ClearAxes, ClearSuperAxes, SubClearAxes]:
+        called = False
+        ax = axes_class(fig, [0, 0, 1, 1])
+        # Axes.__init__ has already called clear (which aliases to cla or is in
+        # the subclass).
+        assert called
+
+        called = False
+        ax.cla()
+        assert called
+
+
+def test_cla_not_redefined_internally():
+    for klass in Axes.__subclasses__():
+        # Check that cla does not get redefined in our Axes subclasses, except
+        # for in the above test function.
+        if 'test_subclass_clear_cla' not in klass.__qualname__:
+            assert 'cla' not in klass.__dict__
+
+
+@check_figures_equal()
+def test_minorticks_on_rcParams_both(fig_test, fig_ref):
+    with matplotlib.rc_context({"xtick.minor.visible": True,
+                                "ytick.minor.visible": True}):
+        ax_test = fig_test.subplots()
+        ax_test.plot([0, 1], [0, 1])
+    ax_ref = fig_ref.subplots()
+    ax_ref.plot([0, 1], [0, 1])
+    ax_ref.minorticks_on()
+
+
+@image_comparison(["autoscale_tiny_range.png"], remove_text=True)
 def test_autoscale_tiny_range():
     # github pull #904
-    fig, ax = plt.subplots(2, 2)
-    ax = ax.flatten()
-    for i in xrange(4):
+    fig, axs = plt.subplots(2, 2)
+    for i, ax in enumerate(axs.flat):
         y1 = 10**(-11 - i)
-        ax[i].plot([0, 1], [1, 1 + y1])
+        ax.plot([0, 1], [1, 1 + y1])
 
 
-@image_comparison(baseline_images=['offset_points'],
-                  remove_text=True)
+@mpl.style.context('default')
+def test_autoscale_tight():
+    fig, ax = plt.subplots(1, 1)
+    ax.plot([1, 2, 3, 4])
+    ax.autoscale(enable=True, axis='x', tight=False)
+    ax.autoscale(enable=True, axis='y', tight=True)
+    assert_allclose(ax.get_xlim(), (-0.15, 3.15))
+    assert_allclose(ax.get_ylim(), (1.0, 4.0))
+
+    # Check that autoscale is on
+    assert ax.get_autoscalex_on()
+    assert ax.get_autoscaley_on()
+    assert ax.get_autoscale_on()
+    # Set enable to None
+    ax.autoscale(enable=None)
+    # Same limits
+    assert_allclose(ax.get_xlim(), (-0.15, 3.15))
+    assert_allclose(ax.get_ylim(), (1.0, 4.0))
+    # autoscale still on
+    assert ax.get_autoscalex_on()
+    assert ax.get_autoscaley_on()
+    assert ax.get_autoscale_on()
+
+
+@mpl.style.context('default')
+def test_autoscale_log_shared():
+    # related to github #7587
+    # array starts at zero to trigger _minpos handling
+    x = np.arange(100, dtype=float)
+    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
+    ax1.loglog(x, x)
+    ax2.semilogx(x, x)
+    ax1.autoscale(tight=True)
+    ax2.autoscale(tight=True)
+    plt.draw()
+    lims = (x[1], x[-1])
+    assert_allclose(ax1.get_xlim(), lims)
+    assert_allclose(ax1.get_ylim(), lims)
+    assert_allclose(ax2.get_xlim(), lims)
+    assert_allclose(ax2.get_ylim(), (x[0], x[-1]))
+
+
+@mpl.style.context('default')
+def test_use_sticky_edges():
+    fig, ax = plt.subplots()
+    ax.imshow([[0, 1], [2, 3]], origin='lower')
+    assert_allclose(ax.get_xlim(), (-0.5, 1.5))
+    assert_allclose(ax.get_ylim(), (-0.5, 1.5))
+    ax.use_sticky_edges = False
+    ax.autoscale()
+    xlim = (-0.5 - 2 * ax._xmargin, 1.5 + 2 * ax._xmargin)
+    ylim = (-0.5 - 2 * ax._ymargin, 1.5 + 2 * ax._ymargin)
+    assert_allclose(ax.get_xlim(), xlim)
+    assert_allclose(ax.get_ylim(), ylim)
+    # Make sure it is reversible:
+    ax.use_sticky_edges = True
+    ax.autoscale()
+    assert_allclose(ax.get_xlim(), (-0.5, 1.5))
+    assert_allclose(ax.get_ylim(), (-0.5, 1.5))
+
+
+@check_figures_equal()
+def test_sticky_shared_axes(fig_test, fig_ref):
+    # Check that sticky edges work whether they are set in an Axes that is a
+    # "leader" in a share, or an Axes that is a "follower".
+    Z = np.arange(15).reshape(3, 5)
+
+    ax0 = fig_test.add_subplot(211)
+    ax1 = fig_test.add_subplot(212, sharex=ax0)
+    ax1.pcolormesh(Z)
+
+    ax0 = fig_ref.add_subplot(212)
+    ax1 = fig_ref.add_subplot(211, sharex=ax0)
+    ax0.pcolormesh(Z)
+
+
+@image_comparison(['sticky_tolerance.png'], remove_text=True, style="mpl20")
+def test_sticky_tolerance():
+    fig, axs = plt.subplots(2, 2)
+
+    width = .1
+
+    axs.flat[0].bar(x=0, height=width, bottom=20000.6)
+    axs.flat[0].bar(x=1, height=width, bottom=20000.1)
+
+    axs.flat[1].bar(x=0, height=-width, bottom=20000.6)
+    axs.flat[1].bar(x=1, height=-width, bottom=20000.1)
+
+    axs.flat[2].barh(y=0, width=-width, left=-20000.6)
+    axs.flat[2].barh(y=1, width=-width, left=-20000.1)
+
+    axs.flat[3].barh(y=0, width=width, left=-20000.6)
+    axs.flat[3].barh(y=1, width=width, left=-20000.1)
+
+
+@image_comparison(['sticky_tolerance_cf.png'], remove_text=True, style="mpl20")
+def test_sticky_tolerance_contourf():
+    fig, ax = plt.subplots()
+
+    x = y = [14496.71, 14496.75]
+    data = [[0, 1], [2, 3]]
+
+    ax.contourf(x, y, data)
+
+
+def test_nargs_stem():
+    with pytest.raises(TypeError, match='0 were given'):
+        # stem() takes 1-3 arguments.
+        plt.stem()
+
+
+def test_nargs_legend():
+    with pytest.raises(TypeError, match='3 were given'):
+        ax = plt.subplot()
+        # legend() takes 0-2 arguments.
+        ax.legend(['First'], ['Second'], 3)
+
+
+def test_nargs_pcolorfast():
+    with pytest.raises(TypeError, match='2 were given'):
+        ax = plt.subplot()
+        # pcolorfast() takes 1 or 3 arguments,
+        # not passing any arguments fails at C = args[-1]
+        # before nargs_err is raised.
+        ax.pcolorfast([(0, 1), (0, 2)], [[1, 2, 3], [1, 2, 3]])
+
+
+@image_comparison(['offset_points'], remove_text=True)
 def test_basic_annotate():
     # Setup some data
     t = np.arange(0.0, 5.0, 0.01)
@@ -122,384 +742,392 @@ def test_basic_annotate():
     # Offset Points
 
     fig = plt.figure()
-    ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-3, 5))
+    ax = fig.add_subplot(autoscale_on=False, xlim=(-1, 5), ylim=(-3, 5))
     line, = ax.plot(t, s, lw=3, color='purple')
 
     ax.annotate('local max', xy=(3, 1), xycoords='data',
                 xytext=(3, 3), textcoords='offset points')
 
 
-@image_comparison(baseline_images=['polar_axes'])
-def test_polar_annotations():
-    # you can specify the xypoint and the xytext in different
-    # positions and coordinate systems, and optionally turn on a
-    # connecting line and mark the point with a marker.  Annotations
-    # work on polar axes too.  In the example below, the xy point is
-    # in native coordinates (xycoords defaults to 'data').  For a
-    # polar axes, this is in (theta, radius) space.  The text in this
-    # example is placed in the fractional figure coordinate system.
-    # Text keyword args like horizontal and vertical alignment are
-    # respected
+@image_comparison(['arrow_simple.png'], remove_text=True)
+def test_arrow_simple():
+    # Simple image test for ax.arrow
+    # kwargs that take discrete values
+    length_includes_head = (True, False)
+    shape = ('full', 'left', 'right')
+    head_starts_at_zero = (True, False)
+    # Create outer product of values
+    kwargs = product(length_includes_head, shape, head_starts_at_zero)
+
+    fig, axs = plt.subplots(3, 4)
+    for i, (ax, kwarg) in enumerate(zip(axs.flat, kwargs)):
+        ax.set_xlim(-2, 2)
+        ax.set_ylim(-2, 2)
+        # Unpack kwargs
+        (length_includes_head, shape, head_starts_at_zero) = kwarg
+        theta = 2 * np.pi * i / 12
+        # Draw arrow
+        ax.arrow(0, 0, np.sin(theta), np.cos(theta),
+                 width=theta/100,
+                 length_includes_head=length_includes_head,
+                 shape=shape,
+                 head_starts_at_zero=head_starts_at_zero,
+                 head_width=theta / 10,
+                 head_length=theta / 10)
+
+
+def test_arrow_empty():
+    _, ax = plt.subplots()
+    # Create an empty FancyArrow
+    ax.arrow(0, 0, 0, 0, head_length=0)
 
-    # Setup some data
-    r = np.arange(0.0, 1.0, 0.001)
-    theta = 2.0 * 2.0 * np.pi * r
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111, polar=True)
-    line, = ax.plot(theta, r, color='#ee8d18', lw=3)
-    line, = ax.plot((0, 0), (0, 1), color="#0000ff", lw=1)
-
-    ind = 800
-    thisr, thistheta = r[ind], theta[ind]
-    ax.plot([thistheta], [thisr], 'o')
-    ax.annotate('a polar annotation',
-                xy=(thistheta, thisr),  # theta, radius
-                xytext=(0.05, 0.05),    # fraction, fraction
-                textcoords='figure fraction',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='left',
-                verticalalignment='baseline',
-                )
-
-
-@image_comparison(baseline_images=['polar_coords'],
-                  remove_text=True)
-def test_polar_coord_annotations():
-    # You can also use polar notation on a catesian axes.  Here the
-    # native coordinate system ('data') is cartesian, so you need to
-    # specify the xycoords and textcoords as 'polar' if you want to
-    # use (theta, radius)
-    from matplotlib.patches import Ellipse
-    el = Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)
+def test_arrow_in_view():
+    _, ax = plt.subplots()
+    ax.arrow(1, 1, 1, 1)
+    assert ax.get_xlim() == (0.8, 2.2)
+    assert ax.get_ylim() == (0.8, 2.2)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111, aspect='equal')
 
-    ax.add_artist(el)
-    el.set_clip_box(ax.bbox)
+def test_annotate_default_arrow():
+    # Check that we can make an annotation arrow with only default properties.
+    fig, ax = plt.subplots()
+    ann = ax.annotate("foo", (0, 1), xytext=(2, 3))
+    assert ann.arrow_patch is None
+    ann = ax.annotate("foo", (0, 1), xytext=(2, 3), arrowprops={})
+    assert ann.arrow_patch is not None
 
-    ax.annotate('the top',
-                xy=(np.pi/2., 10.),      # theta, radius
-                xytext=(np.pi/3, 20.),   # theta, radius
-                xycoords='polar',
-                textcoords='polar',
-                arrowprops=dict(facecolor='black', shrink=0.05),
-                horizontalalignment='left',
-                verticalalignment='baseline',
-                clip_on=True,  # clip to the axes bounding box
-                )
 
-    ax.set_xlim(-20, 20)
-    ax.set_ylim(-20, 20)
+def test_annotate_signature():
+    """Check that the signature of Axes.annotate() matches Annotation."""
+    fig, ax = plt.subplots()
+    annotate_params = inspect.signature(ax.annotate).parameters
+    annotation_params = inspect.signature(mtext.Annotation).parameters
+    assert list(annotate_params.keys()) == list(annotation_params.keys())
+    for p1, p2 in zip(annotate_params.values(), annotation_params.values()):
+        assert p1 == p2
 
 
-@image_comparison(baseline_images=['fill_units'], tol=18, extensions=['png'],
-                  savefig_kwarg={'dpi': 60})
+@image_comparison(['fill_units.png'], savefig_kwarg={'dpi': 60})
 def test_fill_units():
-    from datetime import datetime
     import matplotlib.testing.jpl_units as units
     units.register()
 
     # generate some data
-    t = units.Epoch("ET", dt=datetime(2009, 4, 27))
+    t = units.Epoch("ET", dt=datetime.datetime(2009, 4, 27))
     value = 10.0 * units.deg
     day = units.Duration("ET", 24.0 * 60.0 * 60.0)
+    dt = np.arange('2009-04-27', '2009-04-29', dtype='datetime64[D]')
+    dtn = mdates.date2num(dt)
 
-    fig = plt.figure()
+    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
 
-    # Top-Left
-    ax1 = fig.add_subplot(221)
     ax1.plot([t], [value], yunits='deg', color='red')
-    ax1.fill([733525.0, 733525.0, 733526.0, 733526.0],
-             [0.0, 0.0, 90.0, 0.0], 'b')
+    ind = [0, 0, 1, 1]
+    ax1.fill(dtn[ind], [0.0, 0.0, 90.0, 0.0], 'b')
 
-    # Top-Right
-    ax2 = fig.add_subplot(222)
     ax2.plot([t], [value], yunits='deg', color='red')
-    ax2.fill([t,      t,      t+day,     t+day],
-             [0.0,  0.0,  90.0,    0.0], 'b')
+    ax2.fill([t, t, t + day, t + day],
+             [0.0, 0.0, 90.0, 0.0], 'b')
 
-    # Bottom-Left
-    ax3 = fig.add_subplot(223)
     ax3.plot([t], [value], yunits='deg', color='red')
-    ax3.fill([733525.0, 733525.0, 733526.0, 733526.0],
-             [0*units.deg,  0*units.deg,  90*units.deg,    0*units.deg], 'b')
+    ax3.fill(dtn[ind],
+             [0 * units.deg, 0 * units.deg, 90 * units.deg, 0 * units.deg],
+             'b')
 
-    # Bottom-Right
-    ax4 = fig.add_subplot(224)
     ax4.plot([t], [value], yunits='deg', color='red')
-    ax4.fill([t,      t,      t+day,     t+day],
-             [0*units.deg,  0*units.deg,  90*units.deg,    0*units.deg],
+    ax4.fill([t, t, t + day, t + day],
+             [0 * units.deg, 0 * units.deg, 90 * units.deg, 0 * units.deg],
              facecolor="blue")
-
     fig.autofmt_xdate()
 
 
-@image_comparison(baseline_images=['single_point'])
-def test_single_point():
-    # Issue #1796: don't let lines.marker affect the grid
-    matplotlib.rcParams['lines.marker'] = 'o'
-    matplotlib.rcParams['axes.grid'] = True
-
-    fig = plt.figure()
-    plt.subplot(211)
-    plt.plot([0], [0], 'o')
-
-    plt.subplot(212)
-    plt.plot([1], [1], 'o')
-
-
-@image_comparison(baseline_images=['single_date'])
-def test_single_date():
-    time1 = [721964.0]
-    data1 = [-65.54]
-
-    fig = plt.figure()
-    plt.subplot(211)
-    plt.plot_date(time1, data1, 'o', color='r')
-
-    plt.subplot(212)
-    plt.plot(time1, data1, 'o', color='r')
-
-
-@image_comparison(baseline_images=['shaped_data'])
-def test_shaped_data():
-    xdata = np.array([[0.53295185,  0.23052951,  0.19057629,  0.66724975,  0.96577916,
-                       0.73136095,  0.60823287,  0.01792100,  0.29744742,  0.27164665],
-                      [0.27980120,  0.25814229,  0.02818193,  0.12966456,  0.57446277,
-                       0.58167607,  0.71028245,  0.69112737,  0.89923072,  0.99072476],
-                      [0.81218578,  0.80464528,  0.76071809,  0.85616314,  0.12757994,
-                       0.94324936,  0.73078663,  0.09658102,  0.60703967,  0.77664978],
-                      [0.28332265,  0.81479711,  0.86985333,  0.43797066,  0.32540082,
-                       0.43819229,  0.92230363,  0.49414252,  0.68168256,  0.05922372],
-                      [0.10721335,  0.93904142,  0.79163075,  0.73232848,  0.90283839,
-                       0.68408046,  0.25502302,  0.95976614,  0.59214115,  0.13663711],
-                      [0.28087456,  0.33127607,  0.15530412,  0.76558121,  0.83389773,
-                       0.03735974,  0.98717738,  0.71432229,  0.54881366,  0.86893953],
-                      [0.77995937,  0.99555600,  0.29688434,  0.15646162,  0.05184800,
-                       0.37161935,  0.12998491,  0.09377296,  0.36882507,  0.36583435],
-                      [0.37851836,  0.05315792,  0.63144617,  0.25003433,  0.69586032,
-                       0.11393988,  0.92362096,  0.88045438,  0.93530252,  0.68275072],
-                      [0.86486596,  0.83236675,  0.82960664,  0.57796630,  0.25724233,
-                       0.84841095,  0.90862812,  0.64414887,  0.35652720,  0.71026066],
-                      [0.01383268,  0.34060930,  0.76084285,  0.70800694,  0.87634056,
-                       0.08213693,  0.54655021,  0.98123181,  0.44080053,  0.86815815]])
-
-    y1 = np.arange(10)
-    y1.shape = 1, 10
-
-    y2 = np.arange(10)
-    y2.shape = 10, 1
-
-    fig = plt.figure()
-    plt.subplot(411)
-    plt.plot(y1)
-    plt.subplot(412)
-    plt.plot(y2)
-
-    plt.subplot(413)
-    assert_raises(ValueError, plt.plot, (y1, y2))
-
-    plt.subplot(414)
-    plt.plot(xdata[:, 1], xdata[1, :], 'o')
-
-
-@image_comparison(baseline_images=['const_xy'])
-def test_const_xy():
-    fig = plt.figure()
-
-    plt.subplot(311)
-    plt.plot(np.arange(10), np.ones((10,)))
-
-    plt.subplot(312)
-    plt.plot(np.ones((10,)), np.arange(10))
-
-    plt.subplot(313)
-    plt.plot(np.ones((10,)), np.ones((10,)), 'o')
-
-
-@image_comparison(baseline_images=['polar_wrap_180',
-                                   'polar_wrap_360',
-                                   ])
-def test_polar_wrap():
-    D2R = np.pi / 180.0
+def test_plot_format_kwarg_redundant():
+    with pytest.warns(UserWarning, match="marker .* redundantly defined"):
+        plt.plot([0], [0], 'o', marker='x')
+    with pytest.warns(UserWarning, match="linestyle .* redundantly defined"):
+        plt.plot([0], [0], '-', linestyle='--')
+    with pytest.warns(UserWarning, match="color .* redundantly defined"):
+        plt.plot([0], [0], 'r', color='blue')
+    # smoke-test: should not warn
+    plt.errorbar([0], [0], fmt='none', color='blue')
 
-    fig = plt.figure()
 
-    plt.subplot(111, polar=True)
+@check_figures_equal()
+def test_errorbar_dashes(fig_test, fig_ref):
+    x = [1, 2, 3, 4]
+    y = np.sin(x)
 
-    plt.polar([179*D2R, -179*D2R], [0.2, 0.1], "b.-")
-    plt.polar([179*D2R,  181*D2R], [0.2, 0.1], "g.-")
-    plt.rgrids([0.05, 0.1, 0.15, 0.2, 0.25, 0.3])
-    assert len(fig.axes) == 1, 'More than one polar axes created.'
-    fig = plt.figure()
+    ax_ref = fig_ref.gca()
+    ax_test = fig_test.gca()
 
-    plt.subplot(111, polar=True)
-    plt.polar([2*D2R, -2*D2R], [0.2, 0.1], "b.-")
-    plt.polar([2*D2R,  358*D2R], [0.2, 0.1], "g.-")
-    plt.polar([358*D2R,  2*D2R], [0.2, 0.1], "r.-")
-    plt.rgrids([0.05, 0.1, 0.15, 0.2, 0.25, 0.3])
+    line, *_ = ax_ref.errorbar(x, y, xerr=np.abs(y), yerr=np.abs(y))
+    line.set_dashes([2, 2])
 
+    ax_test.errorbar(x, y, xerr=np.abs(y), yerr=np.abs(y), dashes=[2, 2])
 
-@image_comparison(baseline_images=['polar_units', 'polar_units_2'])
-def test_polar_units():
-    import matplotlib.testing.jpl_units as units
-    from nose.tools import assert_true
-    units.register()
 
-    pi = np.pi
-    deg = units.UnitDbl(1.0, "deg")
-    km = units.UnitDbl(1.0, "km")
+def test_errorbar_mapview_kwarg():
+    D = {ii: ii for ii in range(10)}
+    fig, ax = plt.subplots()
+    ax.errorbar(x=D.keys(), y=D.values(), xerr=D.values())
 
-    x1 = [pi/6.0, pi/4.0, pi/3.0, pi/2.0]
-    x2 = [30.0*deg, 45.0*deg, 60.0*deg, 90.0*deg]
 
-    y1 = [1.0, 2.0, 3.0, 4.0]
-    y2 = [4.0, 3.0, 2.0, 1.0]
+@image_comparison(['single_point', 'single_point'])
+def test_single_point():
+    # Issue #1796: don't let lines.marker affect the grid
+    matplotlib.rcParams['lines.marker'] = 'o'
+    matplotlib.rcParams['axes.grid'] = True
 
-    fig = plt.figure()
+    fig, (ax1, ax2) = plt.subplots(2)
+    ax1.plot([0], [0], 'o')
+    ax2.plot([1], [1], 'o')
 
-    plt.polar(x2, y1, color="blue")
+    # Reuse testcase from above for a labeled data test
+    data = {'a': [0], 'b': [1]}
 
-    # polar(x2, y1, color = "red", xunits="rad")
-    # polar(x2, y2, color = "green")
+    fig, (ax1, ax2) = plt.subplots(2)
+    ax1.plot('a', 'a', 'o', data=data)
+    ax2.plot('b', 'b', 'o', data=data)
 
-    fig = plt.figure()
 
-    # make sure runits and theta units work
-    y1 = [y*km for y in y1]
-    plt.polar(x2, y1, color="blue", thetaunits="rad", runits="km")
-    assert_true(isinstance(plt.gca().get_xaxis().get_major_formatter(), units.UnitDblFormatter))
+@check_figures_equal()
+def test_shaped_data(fig_test, fig_ref):
+    row = np.arange(10).reshape((1, -1))
+    col = np.arange(0, 100, 10).reshape((-1, 1))
 
+    axs = fig_test.subplots(2)
+    axs[0].plot(row)  # Actually plots nothing (columns are single points).
+    axs[1].plot(col)  # Same as plotting 1d.
 
-@image_comparison(baseline_images=['polar_rmin'])
-def test_polar_rmin():
-    r = np.arange(0, 3.0, 0.01)
-    theta = 2*np.pi*r
+    axs = fig_ref.subplots(2)
+    # xlim from the implicit "x=0", ylim from the row datalim.
+    axs[0].set(xlim=(-.06, .06), ylim=(0, 9))
+    axs[1].plot(col.ravel())
 
-    fig = plt.figure()
-    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
-    ax.plot(theta, r)
-    ax.set_rmax(2.0)
-    ax.set_rmin(0.5)
 
+def test_structured_data():
+    # support for structured data
+    pts = np.array([(1, 1), (2, 2)], dtype=[("ones", float), ("twos", float)])
 
-@image_comparison(baseline_images=['polar_theta_position'])
-def test_polar_theta_position():
-    r = np.arange(0, 3.0, 0.01)
-    theta = 2*np.pi*r
+    # this should not read second name as a format and raise ValueError
+    axs = plt.figure().subplots(2)
+    axs[0].plot("ones", "twos", data=pts)
+    axs[1].plot("ones", "twos", "r", data=pts)
 
-    fig = plt.figure()
-    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
-    ax.plot(theta, r)
-    ax.set_theta_zero_location("NW")
-    ax.set_theta_direction('clockwise')
 
+@image_comparison(['aitoff_proj'], extensions=["png"],
+                  remove_text=True, style='mpl20')
+def test_aitoff_proj():
+    """
+    Test aitoff projection ref.:
+    https://github.com/matplotlib/matplotlib/pull/14451
+    """
+    x = np.linspace(-np.pi, np.pi, 20)
+    y = np.linspace(-np.pi / 2, np.pi / 2, 20)
+    X, Y = np.meshgrid(x, y)
 
-@image_comparison(baseline_images=['polar_rlabel_position'])
-def test_polar_rlabel_position():
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='polar')
-    ax.set_rlabel_position(315)
+    fig, ax = plt.subplots(figsize=(8, 4.2),
+                           subplot_kw=dict(projection="aitoff"))
+    ax.grid()
+    ax.plot(X.flat, Y.flat, 'o', markersize=4)
 
 
-@image_comparison(baseline_images=['axvspan_epoch'])
+@image_comparison(['axvspan_epoch.png'])
 def test_axvspan_epoch():
-    from datetime import datetime
     import matplotlib.testing.jpl_units as units
     units.register()
 
     # generate some data
-    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
-    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))
-
+    t0 = units.Epoch("ET", dt=datetime.datetime(2009, 1, 21))
+    tf = units.Epoch("ET", dt=datetime.datetime(2009, 1, 22))
     dt = units.Duration("ET", units.day.convert("sec"))
 
-    fig = plt.figure()
-
-    plt.axvspan(t0, tf, facecolor="blue", alpha=0.25)
-
     ax = plt.gca()
+    ax.axvspan(t0, tf, facecolor="blue", alpha=0.25)
     ax.set_xlim(t0 - 5.0*dt, tf + 5.0*dt)
 
 
-@image_comparison(baseline_images=['axhspan_epoch'])
+@image_comparison(['axhspan_epoch.png'], tol=0.02)
 def test_axhspan_epoch():
-    from datetime import datetime
     import matplotlib.testing.jpl_units as units
     units.register()
 
     # generate some data
-    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
-    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))
-
+    t0 = units.Epoch("ET", dt=datetime.datetime(2009, 1, 21))
+    tf = units.Epoch("ET", dt=datetime.datetime(2009, 1, 22))
     dt = units.Duration("ET", units.day.convert("sec"))
 
-    fig = plt.figure()
-
-    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)
-
     ax = plt.gca()
+    ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)
     ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
 
 
-@image_comparison(baseline_images=['hexbin_extent'],
-                  remove_text=True, extensions=['png'])
+@image_comparison(['hexbin_extent.png', 'hexbin_extent.png'], remove_text=True)
 def test_hexbin_extent():
     # this test exposes sf bug 2856228
-    fig = plt.figure()
-
-    ax = fig.add_subplot(111)
-    data = np.arange(2000.)/2000.
-    data.shape = 2, 1000
+    fig, ax = plt.subplots()
+    data = (np.arange(2000) / 2000).reshape((2, 1000))
     x, y = data
 
     ax.hexbin(x, y, extent=[.1, .3, .6, .7])
 
+    # Reuse testcase from above for a labeled data test
+    data = {"x": x, "y": y}
 
-@cleanup
-def test_hexbin_pickable():
-    # From #1973: Test that picking a hexbin collection works
-    class FauxMouseEvent:
-        def __init__(self, x, y):
-            self.x = x
-            self.y = y
+    fig, ax = plt.subplots()
+    ax.hexbin("x", "y", extent=[.1, .3, .6, .7], data=data)
 
-    fig = plt.figure()
 
-    ax = fig.add_subplot(111)
-    data = np.arange(200.)/200.
-    data.shape = 2, 100
+def test_hexbin_bad_extents():
+    fig, ax = plt.subplots()
+    data = (np.arange(20) / 20).reshape((2, 10))
     x, y = data
-    hb = ax.hexbin(x, y, extent=[.1, .3, .6, .7], picker=-1)
 
-    assert hb.contains(FauxMouseEvent(400, 300))[0]
+    with pytest.raises(ValueError, match="In extent, xmax must be greater than xmin"):
+        ax.hexbin(x, y, extent=(1, 0, 0, 1))
 
+    with pytest.raises(ValueError, match="In extent, ymax must be greater than ymin"):
+        ax.hexbin(x, y, extent=(0, 1, 1, 0))
 
-@image_comparison(baseline_images=['hexbin_log'],
-                  remove_text=True,
-                  extensions=['png'])
+
+def test_hexbin_string_norm():
+    fig, ax = plt.subplots()
+    hex = ax.hexbin(np.random.rand(10), np.random.rand(10), norm="log", vmin=2, vmax=5)
+    assert isinstance(hex, matplotlib.collections.PolyCollection)
+    assert isinstance(hex.norm, matplotlib.colors.LogNorm)
+    assert hex.norm.vmin == 2
+    assert hex.norm.vmax == 5
+
+
+@image_comparison(['hexbin_empty.png'], remove_text=True)
+def test_hexbin_empty():
+    # From #3886: creating hexbin from empty dataset raises ValueError
+    fig, ax = plt.subplots()
+    ax.hexbin([], [])
+    # From #23922: creating hexbin with log scaling from empty
+    # dataset raises ValueError
+    ax.hexbin([], [], bins='log')
+    # From #27103: np.max errors when handed empty data
+    ax.hexbin([], [], C=[], reduce_C_function=np.max)
+    # No string-comparison warning from NumPy.
+    ax.hexbin([], [], bins=np.arange(10))
+
+
+def test_hexbin_pickable():
+    # From #1973: Test that picking a hexbin collection works
+    fig, ax = plt.subplots()
+    data = (np.arange(200) / 200).reshape((2, 100))
+    x, y = data
+    hb = ax.hexbin(x, y, extent=[.1, .3, .6, .7], picker=-1)
+    mouse_event = SimpleNamespace(x=400, y=300)
+    assert hb.contains(mouse_event)[0]
+
+
+@image_comparison(['hexbin_log.png'], style='mpl20')
 def test_hexbin_log():
-    # Issue #1636
-    fig = plt.figure()
+    # Issue #1636 (and also test log scaled colorbar)
 
-    np.random.seed(0)
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    np.random.seed(19680801)
     n = 100000
     x = np.random.standard_normal(n)
     y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
     y = np.power(2, y * 0.5)
-    ax = fig.add_subplot(111)
-    ax.hexbin(x, y, yscale='log')
+
+    fig, ax = plt.subplots()
+    h = ax.hexbin(x, y, yscale='log', bins='log',
+                  marginals=True, reduce_C_function=np.sum)
+    plt.colorbar(h)
+
+    # Make sure offsets are set
+    assert h.get_offsets().shape == (11558, 2)
+
+
+def test_hexbin_log_offsets():
+    x = np.geomspace(1, 100, 500)
+
+    fig, ax = plt.subplots()
+    h = ax.hexbin(x, x, xscale='log', yscale='log', gridsize=2)
+    np.testing.assert_almost_equal(
+        h.get_offsets(),
+        np.array(
+            [[0, 0],
+             [0, 2],
+             [1, 0],
+             [1, 2],
+             [2, 0],
+             [2, 2],
+             [0.5, 1],
+             [1.5, 1]]))
+
+
+@image_comparison(["hexbin_linear.png"], style="mpl20", remove_text=True)
+def test_hexbin_linear():
+    # Issue #21165
+    np.random.seed(19680801)
+    n = 100000
+    x = np.random.standard_normal(n)
+    y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
+
+    fig, ax = plt.subplots()
+    ax.hexbin(x, y, gridsize=(10, 5), marginals=True,
+              reduce_C_function=np.sum)
+
+
+def test_hexbin_log_clim():
+    x, y = np.arange(200).reshape((2, 100))
+    fig, ax = plt.subplots()
+    h = ax.hexbin(x, y, bins='log', vmin=2, vmax=100)
+    assert h.get_clim() == (2, 100)
+
+
+@check_figures_equal()
+def test_hexbin_mincnt_behavior_upon_C_parameter(fig_test, fig_ref):
+    # see: gh:12926
+    datapoints = [
+        # list of (x, y)
+        (0, 0),
+        (0, 0),
+        (6, 0),
+        (0, 6),
+    ]
+    X, Y = zip(*datapoints)
+    C = [1] * len(X)
+    extent = [-10., 10, -10., 10]
+    gridsize = (7, 7)
+
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+
+    # without C parameter
+    ax_ref.hexbin(
+        X, Y,
+        extent=extent,
+        gridsize=gridsize,
+        mincnt=1,
+    )
+    ax_ref.set_facecolor("green")  # for contrast of background
+
+    # with C parameter
+    ax_test.hexbin(
+        X, Y,
+        C=[1] * len(X),
+        reduce_C_function=lambda v: sum(v),
+        mincnt=1,
+        extent=extent,
+        gridsize=gridsize,
+    )
+    ax_test.set_facecolor("green")
 
 
-@cleanup
 def test_inverted_limits():
     # Test gh:1553
     # Calling invert_xaxis prior to plotting should not disable autoscaling
     # while still maintaining the inverted direction
-    fig = plt.figure()
-    ax = fig.gca()
+    fig, ax = plt.subplots()
     ax.invert_xaxis()
     ax.plot([-5, -3, 2, 4], [1, 2, -3, 5])
 
@@ -507,33 +1135,52 @@ def test_inverted_limits():
     assert ax.get_ylim() == (-3, 5)
     plt.close()
 
-    fig = plt.figure()
-    ax = fig.gca()
+    fig, ax = plt.subplots()
     ax.invert_yaxis()
     ax.plot([-5, -3, 2, 4], [1, 2, -3, 5])
 
     assert ax.get_xlim() == (-5, 4)
     assert ax.get_ylim() == (5, -3)
-    plt.close()
+
+    # Test inverting nonlinear axes.
+    fig, ax = plt.subplots()
+    ax.set_yscale("log")
+    ax.set_ylim(10, 1)
+    assert ax.get_ylim() == (10, 1)
 
 
-@image_comparison(baseline_images=['nonfinite_limits'])
+@image_comparison(['nonfinite_limits'])
 def test_nonfinite_limits():
     x = np.arange(0., np.e, 0.01)
-    olderr = np.seterr(divide='ignore')  # silence divide by zero warning from log(0)
-    try:
+    # silence divide by zero warning from log(0)
+    with np.errstate(divide='ignore'):
         y = np.log(x)
-    finally:
-        np.seterr(**olderr)
     x[len(x)//2] = np.nan
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y)
 
 
-@image_comparison(baseline_images=['imshow'],
-                  remove_text=True)
+@mpl.style.context('default')
+@pytest.mark.parametrize('plot_fun',
+                         ['scatter', 'plot', 'fill_between'])
+@check_figures_equal()
+def test_limits_empty_data(plot_fun, fig_test, fig_ref):
+    # Check that plotting empty data doesn't change autoscaling of dates
+    x = np.arange("2010-01-01", "2011-01-01", dtype="datetime64[D]")
+
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+
+    getattr(ax_test, plot_fun)([], [])
+
+    for ax in [ax_test, ax_ref]:
+        getattr(ax, plot_fun)(x, range(len(x)), color='C0')
+
+
+@image_comparison(['imshow', 'imshow'], remove_text=True, style='mpl20')
 def test_imshow():
+    # use former defaults to match existing baseline image
+    matplotlib.rcParams['image.interpolation'] = 'nearest'
     # Create a NxN image
     N = 100
     (x, y) = np.indices((N, N))
@@ -542,15 +1189,21 @@ def test_imshow():
     r = np.sqrt(x**2+y**2-x*y)
 
     # Create a contour plot at N/4 and extract both the clip path and transform
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-
+    fig, ax = plt.subplots()
     ax.imshow(r)
 
+    # Reuse testcase from above for a labeled data test
+    data = {"r": r}
+    fig, ax = plt.subplots()
+    ax.imshow("r", data=data)
+
 
-@image_comparison(baseline_images=['imshow_clip'])
+@image_comparison(['imshow_clip'], style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 1.24)
 def test_imshow_clip():
     # As originally reported by Gellule Xg <gellule.xg@free.fr>
+    # use former defaults to match existing baseline image
+    matplotlib.rcParams['image.interpolation'] = 'nearest'
 
     # Create a NxN image
     N = 100
@@ -560,114 +1213,180 @@ def test_imshow_clip():
     r = np.sqrt(x**2+y**2-x*y)
 
     # Create a contour plot at N/4 and extract both the clip path and transform
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
 
     c = ax.contour(r, [N/4])
-    x = c.collections[0]
-    clipPath = x.get_paths()[0]
-    clipTransform = x.get_transform()
-
-    from matplotlib.transforms import TransformedPath
-    clip_path = TransformedPath(clipPath, clipTransform)
+    clip_path = mtransforms.TransformedPath(c.get_paths()[0], c.get_transform())
 
     # Plot the image clipped by the contour
     ax.imshow(r, clip_path=clip_path)
 
 
-@image_comparison(baseline_images=['polycollection_joinstyle'],
-                  remove_text=True)
-def test_polycollection_joinstyle():
-    # Bug #2890979 reported by Matthew West
+def test_imshow_norm_vminvmax():
+    """Parameters vmin, vmax should error if norm is given."""
+    a = [[1, 2], [3, 4]]
+    ax = plt.axes()
+    with pytest.raises(ValueError,
+                       match="Passing a Normalize instance simultaneously "
+                             "with vmin/vmax is not supported."):
+        ax.imshow(a, norm=mcolors.Normalize(-10, 10), vmin=0, vmax=5)
 
-    from matplotlib import collections as mcoll
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+@image_comparison(['polycollection_joinstyle'], remove_text=True)
+def test_polycollection_joinstyle():
+    # Bug #2890979 reported by Matthew West
+    fig, ax = plt.subplots()
     verts = np.array([[1, 1], [1, 2], [2, 2], [2, 1]])
-    c = mcoll.PolyCollection([verts], linewidths=40)
+    c = mpl.collections.PolyCollection([verts], linewidths=40)
     ax.add_collection(c)
     ax.set_xbound(0, 3)
     ax.set_ybound(0, 3)
 
 
-@image_comparison(baseline_images=['fill_between_interpolate'],
-                  remove_text=True)
+@pytest.mark.parametrize(
+    'x, y1, y2', [
+        (np.zeros((2, 2)), 3, 3),
+        (np.arange(0.0, 2, 0.02), np.zeros((2, 2)), 3),
+        (np.arange(0.0, 2, 0.02), 3, np.zeros((2, 2)))
+    ], ids=[
+        '2d_x_input',
+        '2d_y1_input',
+        '2d_y2_input'
+    ]
+)
+def test_fill_between_input(x, y1, y2):
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.fill_between(x, y1, y2)
+
+
+@pytest.mark.parametrize(
+    'y, x1, x2', [
+        (np.zeros((2, 2)), 3, 3),
+        (np.arange(0.0, 2, 0.02), np.zeros((2, 2)), 3),
+        (np.arange(0.0, 2, 0.02), 3, np.zeros((2, 2)))
+    ], ids=[
+        '2d_y_input',
+        '2d_x1_input',
+        '2d_x2_input'
+    ]
+)
+def test_fill_betweenx_input(y, x1, x2):
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.fill_betweenx(y, x1, x2)
+
+
+@image_comparison(['fill_between_interpolate.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.012)
 def test_fill_between_interpolate():
     x = np.arange(0.0, 2, 0.02)
     y1 = np.sin(2*np.pi*x)
     y2 = 1.2*np.sin(4*np.pi*x)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(211)
-    ax.plot(x, y1, x, y2, color='black')
-    ax.fill_between(x, y1, y2, where=y2 >= y1, facecolor='white', hatch='/', interpolate=True)
-    ax.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True)
+    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
+    ax1.plot(x, y1, x, y2, color='black')
+    ax1.fill_between(x, y1, y2, where=y2 >= y1, facecolor='white', hatch='/',
+                     interpolate=True)
+    ax1.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red',
+                     interpolate=True)
 
     # Test support for masked arrays.
     y2 = np.ma.masked_greater(y2, 1.0)
     # Test that plotting works for masked arrays with the first element masked
     y2[0] = np.ma.masked
-    ax1 = fig.add_subplot(212, sharex=ax)
-    ax1.plot(x, y1, x, y2, color='black')
-    ax1.fill_between(x, y1, y2, where=y2 >= y1, facecolor='green', interpolate=True)
-    ax1.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True)
+    ax2.plot(x, y1, x, y2, color='black')
+    ax2.fill_between(x, y1, y2, where=y2 >= y1, facecolor='green',
+                     interpolate=True)
+    ax2.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red',
+                     interpolate=True)
 
 
-@image_comparison(baseline_images=['symlog'])
-def test_symlog():
+@image_comparison(['fill_between_interpolate_decreasing.png'],
+                  style='mpl20', remove_text=True)
+def test_fill_between_interpolate_decreasing():
+    p = np.array([724.3, 700, 655])
+    t = np.array([9.4, 7, 2.2])
+    prof = np.array([7.9, 6.6, 3.8])
+
+    fig, ax = plt.subplots(figsize=(9, 9))
+
+    ax.plot(t, p, 'tab:red')
+    ax.plot(prof, p, 'k')
+
+    ax.fill_betweenx(p, t, prof, where=prof < t,
+                     facecolor='blue', interpolate=True, alpha=0.4)
+    ax.fill_betweenx(p, t, prof, where=prof > t,
+                     facecolor='red', interpolate=True, alpha=0.4)
+
+    ax.set_xlim(0, 30)
+    ax.set_ylim(800, 600)
+
+
+@image_comparison(['fill_between_interpolate_nan.png'], remove_text=True)
+def test_fill_between_interpolate_nan():
+    # Tests fix for issue #18986.
+    x = np.arange(10)
+    y1 = np.asarray([8, 18, np.nan, 18, 8, 18, 24, 18, 8, 18])
+    y2 = np.asarray([18, 11, 8, 11, 18, 26, 32, 30, np.nan, np.nan])
+
+    fig, ax = plt.subplots()
+
+    ax.plot(x, y1, c='k')
+    ax.plot(x, y2, c='b')
+    ax.fill_between(x, y1, y2, where=y2 >= y1, facecolor="green",
+                    interpolate=True, alpha=0.5)
+    ax.fill_between(x, y1, y2, where=y1 >= y2, facecolor="red",
+                    interpolate=True, alpha=0.5)
+
+
+# test_symlog and test_symlog2 used to have baseline images in all three
+# formats, but the png and svg baselines got invalidated by the removal of
+# minor tick overstriking.
+@image_comparison(['symlog.pdf'])
+def test_symlog():
     x = np.array([0, 1, 2, 4, 6, 9, 12, 24])
     y = np.array([1000000, 500000, 100000, 100, 5, 0, 0, 0])
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y)
     ax.set_yscale('symlog')
-    ax.set_xscale = ('linear')
+    ax.set_xscale('linear')
     ax.set_ylim(-1, 10000000)
 
 
-@image_comparison(baseline_images=['symlog2'],
-                  remove_text=True)
+@image_comparison(['symlog2.pdf'], remove_text=True)
 def test_symlog2():
     # Numbers from -50 to 50, with 0.1 as step
     x = np.arange(-50, 50, 0.001)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(511)
-    # Plots a simple linear function 'f(x) = x'
-    ax.plot(x, x)
-    ax.set_xscale('symlog', linthreshx=20.0)
-    ax.grid(True)
-
-    ax = fig.add_subplot(512)
-    # Plots a simple linear function 'f(x) = x'
-    ax.plot(x, x)
-    ax.set_xscale('symlog', linthreshx=2.0)
-    ax.grid(True)
-
-    ax = fig.add_subplot(513)
-    # Plots a simple linear function 'f(x) = x'
-    ax.plot(x, x)
-    ax.set_xscale('symlog', linthreshx=1.0)
-    ax.grid(True)
-
-    ax = fig.add_subplot(514)
-    # Plots a simple linear function 'f(x) = x'
-    ax.plot(x, x)
-    ax.set_xscale('symlog', linthreshx=0.1)
-    ax.grid(True)
-
-    ax = fig.add_subplot(515)
-    # Plots a simple linear function 'f(x) = x'
-    ax.plot(x, x)
-    ax.set_xscale('symlog', linthreshx=0.01)
-    ax.grid(True)
-    ax.set_ylim(-0.1, 0.1)
-
-
-@image_comparison(baseline_images=['pcolormesh'], remove_text=True)
+    fig, axs = plt.subplots(5, 1)
+    for ax, linthresh in zip(axs, [20., 2., 1., 0.1, 0.01]):
+        ax.plot(x, x)
+        ax.set_xscale('symlog', linthresh=linthresh)
+        ax.grid(True)
+    axs[-1].set_ylim(-0.1, 0.1)
+
+
+def test_pcolorargs_5205():
+    # Smoketest to catch issue found in gh:5205
+    x = [-1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5]
+    y = [-1.5, -1.25, -1.0, -0.75, -0.5, -0.25, 0,
+         0.25, 0.5, 0.75, 1.0, 1.25, 1.5]
+    X, Y = np.meshgrid(x, y)
+    Z = np.hypot(X, Y)
+
+    plt.pcolor(Z)
+    plt.pcolor(list(Z))
+    plt.pcolor(x, y, Z[:-1, :-1])
+    plt.pcolor(X, Y, list(Z[:-1, :-1]))
+
+
+@image_comparison(['pcolormesh'], remove_text=True)
 def test_pcolormesh():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     n = 12
     x = np.linspace(-1.5, 1.5, n)
     y = np.linspace(-1.5, 1.5, n*2)
@@ -675,26 +1394,131 @@ def test_pcolormesh():
     Qx = np.cos(Y) - np.cos(X)
     Qz = np.sin(Y) + np.sin(X)
     Qx = (Qx + 1.1)
-    Z = np.sqrt(X**2 + Y**2)/5
-    Z = (Z - Z.min()) / (Z.max() - Z.min())
+    Z = np.hypot(X, Y) / 5
+    Z = (Z - Z.min()) / np.ptp(Z)
 
     # The color array can include masked values:
-    Zm = ma.masked_where(np.fabs(Qz) < 0.5*np.amax(Qz), Z)
+    Zm = ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(131)
-    ax.pcolormesh(Qx, Qz, Z, lw=0.5, edgecolors='k')
+    _, (ax1, ax2, ax3) = plt.subplots(1, 3)
+    ax1.pcolormesh(Qx, Qz, Zm[:-1, :-1], lw=0.5, edgecolors='k')
+    ax2.pcolormesh(Qx, Qz, Zm[:-1, :-1], lw=2, edgecolors=['b', 'w'])
+    ax3.pcolormesh(Qx, Qz, Zm, shading="gouraud")
+
+
+@image_comparison(['pcolormesh_small'], extensions=["eps"])
+def test_pcolormesh_small():
+    n = 3
+    x = np.linspace(-1.5, 1.5, n)
+    y = np.linspace(-1.5, 1.5, n*2)
+    X, Y = np.meshgrid(x, y)
+    Qx = np.cos(Y) - np.cos(X)
+    Qz = np.sin(Y) + np.sin(X)
+    Qx = (Qx + 1.1)
+    Z = np.hypot(X, Y) / 5
+    Z = (Z - Z.min()) / np.ptp(Z)
+    Zm = ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
+    Zm2 = ma.masked_where(Qz < -0.5 * np.max(Qz), Z)
+
+    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+    ax1.pcolormesh(Qx, Qz, Zm[:-1, :-1], lw=0.5, edgecolors='k')
+    ax2.pcolormesh(Qx, Qz, Zm[:-1, :-1], lw=2, edgecolors=['b', 'w'])
+    # gouraud with Zm yields a blank plot; there are no unmasked triangles.
+    ax3.pcolormesh(Qx, Qz, Zm, shading="gouraud")
+    # Reduce the masking to get a plot.
+    ax4.pcolormesh(Qx, Qz, Zm2, shading="gouraud")
+
+    for ax in fig.axes:
+        ax.set_axis_off()
+
+
+@image_comparison(['pcolormesh_alpha'], extensions=["png", "pdf"],
+                  remove_text=True,
+                  tol=0.2 if platform.machine() == "aarch64" else 0)
+def test_pcolormesh_alpha():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    n = 12
+    X, Y = np.meshgrid(
+        np.linspace(-1.5, 1.5, n),
+        np.linspace(-1.5, 1.5, n*2)
+    )
+    Qx = X
+    Qy = Y + np.sin(X)
+    Z = np.hypot(X, Y) / 5
+    Z = (Z - Z.min()) / np.ptp(Z)
+    vir = mpl.colormaps["viridis"].resampled(16)
+    # make another colormap with varying alpha
+    colors = vir(np.arange(16))
+    colors[:, 3] = 0.5 + 0.5*np.sin(np.arange(16))
+    cmap = mcolors.ListedColormap(colors)
+
+    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+    for ax in ax1, ax2, ax3, ax4:
+        ax.add_patch(mpatches.Rectangle(
+            (0, -1.5), 1.5, 3, facecolor=[.7, .1, .1, .5], zorder=0
+        ))
+    # ax1, ax2: constant alpha
+    ax1.pcolormesh(Qx, Qy, Z[:-1, :-1], cmap=vir, alpha=0.4,
+                   shading='flat', zorder=1)
+    ax2.pcolormesh(Qx, Qy, Z, cmap=vir, alpha=0.4, shading='gouraud', zorder=1)
+    # ax3, ax4: alpha from colormap
+    ax3.pcolormesh(Qx, Qy, Z[:-1, :-1], cmap=cmap, shading='flat', zorder=1)
+    ax4.pcolormesh(Qx, Qy, Z, cmap=cmap, shading='gouraud', zorder=1)
+
+
+@pytest.mark.parametrize("dims,alpha", [(3, 1), (4, 0.5)])
+@check_figures_equal()
+def test_pcolormesh_rgba(fig_test, fig_ref, dims, alpha):
+    ax = fig_test.subplots()
+    c = np.ones((5, 6, dims), dtype=float) / 2
+    ax.pcolormesh(c)
+
+    ax = fig_ref.subplots()
+    ax.pcolormesh(c[..., 0], cmap="gray", vmin=0, vmax=1, alpha=alpha)
+
+
+@check_figures_equal()
+def test_pcolormesh_nearest_noargs(fig_test, fig_ref):
+    x = np.arange(4)
+    y = np.arange(7)
+    X, Y = np.meshgrid(x, y)
+    C = X + Y
+
+    ax = fig_test.subplots()
+    ax.pcolormesh(C, shading="nearest")
+
+    ax = fig_ref.subplots()
+    ax.pcolormesh(x, y, C, shading="nearest")
+
+
+@check_figures_equal()
+def test_pcolormesh_log_scale(fig_test, fig_ref):
+    """
+    Check that setting a log scale sets good default axis limits
+    when using pcolormesh.
+    """
+    x = np.linspace(0, 1, 11)
+    y = np.linspace(1, 2, 5)
+    X, Y = np.meshgrid(x, y)
+    C = X + Y
 
-    ax = fig.add_subplot(132)
-    ax.pcolormesh(Qx, Qz, Z, lw=2, edgecolors=['b', 'w'])
+    ax = fig_test.subplots()
+    ax.pcolormesh(X, Y, C)
+    ax.set_xscale('log')
 
-    ax = fig.add_subplot(133)
-    ax.pcolormesh(Qx, Qz, Z, shading="gouraud")
+    ax = fig_ref.subplots()
+    ax.pcolormesh(X, Y, C)
+    ax.set_xlim(1e-2, 1e1)
+    ax.set_xscale('log')
 
 
-@image_comparison(baseline_images=['pcolormesh_datetime_axis'],
-                  extensions=['png'], remove_text=False)
+@image_comparison(['pcolormesh_datetime_axis.png'], style='mpl20')
 def test_pcolormesh_datetime_axis():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     fig = plt.figure()
     fig.subplots_adjust(hspace=0.4, top=0.98, bottom=.15)
     base = datetime.datetime(2013, 1, 1)
@@ -703,13 +1527,13 @@ def test_pcolormesh_datetime_axis():
     z1, z2 = np.meshgrid(np.arange(20), np.arange(20))
     z = z1 * z2
     plt.subplot(221)
-    plt.pcolormesh(x[:-1], y[:-1], z)
+    plt.pcolormesh(x[:-1], y[:-1], z[:-1, :-1])
     plt.subplot(222)
     plt.pcolormesh(x, y, z)
     x = np.repeat(x[np.newaxis], 21, axis=0)
     y = np.repeat(y[:, np.newaxis], 21, axis=1)
     plt.subplot(223)
-    plt.pcolormesh(x[:-1, :-1], y[:-1, :-1], z)
+    plt.pcolormesh(x[:-1, :-1], y[:-1, :-1], z[:-1, :-1])
     plt.subplot(224)
     plt.pcolormesh(x, y, z)
     for ax in fig.get_axes():
@@ -718,8 +1542,7 @@ def test_pcolormesh_datetime_axis():
             label.set_rotation(30)
 
 
-@image_comparison(baseline_images=['pcolor_datetime_axis'],
-                  extensions=['png'], remove_text=False)
+@image_comparison(['pcolor_datetime_axis.png'], style='mpl20')
 def test_pcolor_datetime_axis():
     fig = plt.figure()
     fig.subplots_adjust(hspace=0.4, top=0.98, bottom=.15)
@@ -729,13 +1552,13 @@ def test_pcolor_datetime_axis():
     z1, z2 = np.meshgrid(np.arange(20), np.arange(20))
     z = z1 * z2
     plt.subplot(221)
-    plt.pcolor(x[:-1], y[:-1], z)
+    plt.pcolor(x[:-1], y[:-1], z[:-1, :-1])
     plt.subplot(222)
     plt.pcolor(x, y, z)
     x = np.repeat(x[np.newaxis], 21, axis=0)
     y = np.repeat(y[:, np.newaxis], 21, axis=1)
     plt.subplot(223)
-    plt.pcolor(x[:-1, :-1], y[:-1, :-1], z)
+    plt.pcolor(x[:-1, :-1], y[:-1, :-1], z[:-1, :-1])
     plt.subplot(224)
     plt.pcolor(x, y, z)
     for ax in fig.get_axes():
@@ -744,88 +1567,281 @@ def test_pcolor_datetime_axis():
             label.set_rotation(30)
 
 
-@cleanup
+@check_figures_equal()
+def test_pcolor_log_scale(fig_test, fig_ref):
+    """
+    Check that setting a log scale sets good default axis limits
+    when using pcolor.
+    """
+    x = np.linspace(0, 1, 11)
+    y = np.linspace(1, 2, 5)
+    X, Y = np.meshgrid(x, y)
+    C = X[:-1, :-1] + Y[:-1, :-1]
+
+    ax = fig_test.subplots()
+    ax.pcolor(X, Y, C)
+    ax.set_xscale('log')
+
+    ax = fig_ref.subplots()
+    ax.pcolor(X, Y, C)
+    ax.set_xlim(1e-1, 1e0)
+    ax.set_xscale('log')
+
+
 def test_pcolorargs():
     n = 12
     x = np.linspace(-1.5, 1.5, n)
     y = np.linspace(-1.5, 1.5, n*2)
     X, Y = np.meshgrid(x, y)
-    Z = np.sqrt(X**2 + Y**2)/5
+    Z = np.hypot(X, Y) / 5
 
     _, ax = plt.subplots()
-    assert_raises(TypeError, ax.pcolormesh, y, x, Z)
-    assert_raises(TypeError, ax.pcolormesh, X, Y, Z.T)
-    assert_raises(TypeError, ax.pcolormesh, x, y, Z[:-1, :-1],
-                  shading="gouraud")
-    assert_raises(TypeError, ax.pcolormesh, X, Y, Z[:-1, :-1],
-                  shading="gouraud")
+    with pytest.raises(TypeError):
+        ax.pcolormesh(y, x, Z)
+    with pytest.raises(TypeError):
+        ax.pcolormesh(X, Y, Z.T)
+    with pytest.raises(TypeError):
+        ax.pcolormesh(x, y, Z[:-1, :-1], shading="gouraud")
+    with pytest.raises(TypeError):
+        ax.pcolormesh(X, Y, Z[:-1, :-1], shading="gouraud")
+    x[0] = np.nan
+    with pytest.raises(ValueError):
+        ax.pcolormesh(x, y, Z[:-1, :-1])
+    with np.errstate(invalid='ignore'):
+        x = np.ma.array(x, mask=(x < 0))
+    with pytest.raises(ValueError):
+        ax.pcolormesh(x, y, Z[:-1, :-1])
+    # If the X or Y coords do not possess monotonicity in their respective
+    # directions, a warning indicating a bad grid will be triggered.
+    # The case of specifying coordinates by inputting 1D arrays.
+    x = [359, 0, 1]
+    y = [-10, 10]
+    X, Y = np.meshgrid(x, y)
+    Z = np.zeros(X.shape)
+    with pytest.warns(UserWarning,
+                      match='are not monotonically increasing or decreasing'):
+        ax.pcolormesh(X, Y, Z, shading='auto')
+    # The case of specifying coordinates by inputting 2D arrays.
+    x = np.linspace(-1, 1, 3)
+    y = np.linspace(-1, 1, 3)
+    X, Y = np.meshgrid(x, y)
+    Z = np.zeros(X.shape)
+    np.random.seed(19680801)
+    noise_X = np.random.random(X.shape)
+    noise_Y = np.random.random(Y.shape)
+    with pytest.warns(UserWarning,
+                      match='are not monotonically increasing or '
+                            'decreasing') as record:
+        # Small perturbations in coordinates will not disrupt the monotonicity
+        # of the X-coords and Y-coords in their respective directions.
+        # Therefore, no warnings will be triggered.
+        ax.pcolormesh(X+noise_X, Y+noise_Y, Z, shading='auto')
+        assert len(record) == 0
+        # Large perturbations have disrupted the monotonicity of the X-coords
+        # and Y-coords in their respective directions, thus resulting in two
+        # bad grid warnings.
+        ax.pcolormesh(X+10*noise_X, Y+10*noise_Y, Z, shading='auto')
+        assert len(record) == 2
+
+
+def test_pcolormesh_underflow_error():
+    """
+    Test that underflow errors don't crop up in pcolormesh.  Probably
+    a numpy bug (https://github.com/numpy/numpy/issues/25810).
+    """
+    with np.errstate(under="raise"):
+        x = np.arange(0, 3, 0.1)
+        y = np.arange(0, 6, 0.1)
+        z = np.random.randn(len(y), len(x))
+        fig, ax = plt.subplots()
+        ax.pcolormesh(x, y, z)
+
+
+def test_pcolorargs_with_read_only():
+    x = np.arange(6).reshape(2, 3)
+    xmask = np.broadcast_to([False, True, False], x.shape)  # read-only array
+    assert xmask.flags.writeable is False
+    masked_x = np.ma.array(x, mask=xmask)
+    plt.pcolormesh(masked_x)
+
+    x = np.linspace(0, 1, 10)
+    y = np.linspace(0, 1, 10)
+    X, Y = np.meshgrid(x, y)
+    Z = np.sin(2 * np.pi * X) * np.cos(2 * np.pi * Y)
+    mask = np.zeros(10, dtype=bool)
+    mask[-1] = True
+    mask = np.broadcast_to(mask, Z.shape)
+    assert mask.flags.writeable is False
+    masked_Z = np.ma.array(Z, mask=mask)
+    plt.pcolormesh(X, Y, masked_Z)
+
+    masked_X = np.ma.array(X, mask=mask)
+    masked_Y = np.ma.array(Y, mask=mask)
+    plt.pcolor(masked_X, masked_Y, masked_Z)
+
+
+@check_figures_equal()
+def test_pcolornearest(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    x = np.arange(0, 10)
+    y = np.arange(0, 3)
+    np.random.seed(19680801)
+    Z = np.random.randn(2, 9)
+    ax.pcolormesh(x, y, Z, shading='flat')
+
+    ax = fig_ref.subplots()
+    # specify the centers
+    x2 = x[:-1] + np.diff(x) / 2
+    y2 = y[:-1] + np.diff(y) / 2
+    ax.pcolormesh(x2, y2, Z, shading='nearest')
+
+
+@check_figures_equal()
+def test_pcolornearestunits(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    x = [datetime.datetime.fromtimestamp(x * 3600) for x in range(10)]
+    y = np.arange(0, 3)
+    np.random.seed(19680801)
+    Z = np.random.randn(2, 9)
+    ax.pcolormesh(x, y, Z, shading='flat')
+
+    ax = fig_ref.subplots()
+    # specify the centers
+    x2 = [datetime.datetime.fromtimestamp((x + 0.5) * 3600) for x in range(9)]
+    y2 = y[:-1] + np.diff(y) / 2
+    ax.pcolormesh(x2, y2, Z, shading='nearest')
+
+
+def test_pcolorflaterror():
+    fig, ax = plt.subplots()
+    x = np.arange(0, 9)
+    y = np.arange(0, 3)
+    np.random.seed(19680801)
+    Z = np.random.randn(3, 9)
+    with pytest.raises(TypeError, match='Dimensions of C'):
+        ax.pcolormesh(x, y, Z, shading='flat')
 
 
-@image_comparison(baseline_images=['canonical'])
+def test_samesizepcolorflaterror():
+    fig, ax = plt.subplots()
+    x, y = np.meshgrid(np.arange(5), np.arange(3))
+    Z = x + y
+    with pytest.raises(TypeError, match=r".*one smaller than X"):
+        ax.pcolormesh(x, y, Z, shading='flat')
+
+
+@pytest.mark.parametrize('snap', [False, True])
+@check_figures_equal()
+def test_pcolorauto(fig_test, fig_ref, snap):
+    ax = fig_test.subplots()
+    x = np.arange(0, 10)
+    y = np.arange(0, 4)
+    np.random.seed(19680801)
+    Z = np.random.randn(3, 9)
+    # this is the same as flat; note that auto is default
+    ax.pcolormesh(x, y, Z, snap=snap)
+
+    ax = fig_ref.subplots()
+    # specify the centers
+    x2 = x[:-1] + np.diff(x) / 2
+    y2 = y[:-1] + np.diff(y) / 2
+    # this is same as nearest:
+    ax.pcolormesh(x2, y2, Z, snap=snap)
+
+
+@image_comparison(['canonical'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.02)
 def test_canonical():
     fig, ax = plt.subplots()
     ax.plot([1, 2, 3])
 
 
-@image_comparison(baseline_images=['arc_ellipse'],
-                  remove_text=True)
+@image_comparison(['arc_angles.png'], remove_text=True, style='default')
+def test_arc_angles():
+    # Ellipse parameters
+    w = 2
+    h = 1
+    centre = (0.2, 0.5)
+    scale = 2
+
+    fig, axs = plt.subplots(3, 3)
+    for i, ax in enumerate(axs.flat):
+        theta2 = i * 360 / 9
+        theta1 = theta2 - 45
+
+        ax.add_patch(mpatches.Ellipse(centre, w, h, alpha=0.3))
+        ax.add_patch(mpatches.Arc(centre, w, h, theta1=theta1, theta2=theta2))
+        # Straight lines intersecting start and end of arc
+        ax.plot([scale * np.cos(np.deg2rad(theta1)) + centre[0],
+                 centre[0],
+                 scale * np.cos(np.deg2rad(theta2)) + centre[0]],
+                [scale * np.sin(np.deg2rad(theta1)) + centre[1],
+                 centre[1],
+                 scale * np.sin(np.deg2rad(theta2)) + centre[1]])
+
+        ax.set_xlim(-scale, scale)
+        ax.set_ylim(-scale, scale)
+
+        # This looks the same, but it triggers a different code path when it
+        # gets large enough.
+        w *= 10
+        h *= 10
+        centre = (centre[0] * 10, centre[1] * 10)
+        scale *= 10
+
+
+@image_comparison(['arc_ellipse'], remove_text=True)
 def test_arc_ellipse():
-    from matplotlib import patches
     xcenter, ycenter = 0.38, 0.52
     width, height = 1e-1, 3e-1
     angle = -30
 
-    theta = np.arange(0.0, 360.0, 1.0)*np.pi/180.0
-    x = width/2. * np.cos(theta)
-    y = height/2. * np.sin(theta)
+    theta = np.deg2rad(np.arange(360))
+    x = width / 2. * np.cos(theta)
+    y = height / 2. * np.sin(theta)
 
-    rtheta = angle*np.pi/180.
+    rtheta = np.deg2rad(angle)
     R = np.array([
-        [np.cos(rtheta),  -np.sin(rtheta)],
-        [np.sin(rtheta), np.cos(rtheta)],
-        ])
+        [np.cos(rtheta), -np.sin(rtheta)],
+        [np.sin(rtheta), np.cos(rtheta)]])
 
-    x, y = np.dot(R, np.array([x, y]))
+    x, y = np.dot(R, [x, y])
     x += xcenter
     y += ycenter
 
     fig = plt.figure()
     ax = fig.add_subplot(211, aspect='auto')
-    ax.fill(x, y, alpha=0.2, facecolor='yellow', edgecolor='yellow', linewidth=1, zorder=1)
+    ax.fill(x, y, alpha=0.2, facecolor='yellow', edgecolor='yellow',
+            linewidth=1, zorder=1)
 
-    e1 = patches.Arc((xcenter, ycenter), width, height,
-                     angle=angle, linewidth=2, fill=False, zorder=2)
+    e1 = mpatches.Arc((xcenter, ycenter), width, height,
+                      angle=angle, linewidth=2, fill=False, zorder=2)
 
     ax.add_patch(e1)
 
     ax = fig.add_subplot(212, aspect='equal')
     ax.fill(x, y, alpha=0.2, facecolor='green', edgecolor='green', zorder=1)
-    e2 = patches.Arc((xcenter, ycenter), width, height,
-                     angle=angle, linewidth=2, fill=False, zorder=2)
+    e2 = mpatches.Arc((xcenter, ycenter), width, height,
+                      angle=angle, linewidth=2, fill=False, zorder=2)
 
     ax.add_patch(e2)
 
 
-@image_comparison(baseline_images=['units_strings'])
-def test_units_strings():
-    # Make sure passing in sequences of strings doesn't cause the unit
-    # conversion registry to recurse infinitely
-    Id = ['50', '100', '150', '200', '250']
-    pout = ['0', '7.4', '11.4', '14.2', '16.3']
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(Id, pout)
+def test_marker_as_markerstyle():
+    fix, ax = plt.subplots()
+    m = mmarkers.MarkerStyle('o')
+    ax.plot([1, 2, 3], [3, 2, 1], marker=m)
+    ax.scatter([1, 2, 3], [4, 3, 2], marker=m)
+    ax.errorbar([1, 2, 3], [5, 4, 3], marker=m)
 
 
-@image_comparison(baseline_images=['markevery'],
-                  remove_text=True)
+@image_comparison(['markevery.png'], remove_text=True)
 def test_markevery():
     x = np.linspace(0, 10, 100)
     y = np.sin(x) * np.sqrt(x/10 + 0.5)
 
     # check marker only plot
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y, 'o', label='default')
     ax.plot(x, y, 'd', markevery=None, label='mark all')
     ax.plot(x, y, 's', markevery=10, label='mark every 10')
@@ -833,15 +1849,17 @@ def test_markevery():
     ax.legend()
 
 
-@image_comparison(baseline_images=['markevery_line'],
-                  remove_text=True)
+@image_comparison(['markevery_line.png'], remove_text=True, tol=0.005)
 def test_markevery_line():
+    # TODO: a slight change in rendering between Inkscape versions may explain
+    # why one had to introduce a small non-zero tolerance for the SVG test
+    # to pass. One may try to remove this hack once Travis' Inkscape version
+    # is modern enough. FWIW, no failure with 0.92.3 on my computer (#11358).
     x = np.linspace(0, 10, 100)
     y = np.sin(x) * np.sqrt(x/10 + 0.5)
 
     # check line/marker combos
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y, '-o', label='default')
     ax.plot(x, y, '-d', markevery=None, label='mark all')
     ax.plot(x, y, '-s', markevery=10, label='mark every 10')
@@ -849,8 +1867,7 @@ def test_markevery_line():
     ax.legend()
 
 
-@image_comparison(baseline_images=['markevery_linear_scales'],
-                  remove_text=True)
+@image_comparison(['markevery_linear_scales.png'], remove_text=True, tol=0.001)
 def test_markevery_linear_scales():
     cases = [None,
              8,
@@ -875,8 +1892,7 @@ def test_markevery_linear_scales():
         plt.plot(x, y, 'o', ls='-', ms=4,  markevery=case)
 
 
-@image_comparison(baseline_images=['markevery_linear_scales_zoomed'],
-                  remove_text=True)
+@image_comparison(['markevery_linear_scales_zoomed.png'], remove_text=True)
 def test_markevery_linear_scales_zoomed():
     cases = [None,
              8,
@@ -903,8 +1919,7 @@ def test_markevery_linear_scales_zoomed():
         plt.ylim((1.1, 1.7))
 
 
-@image_comparison(baseline_images=['markevery_log_scales'],
-                  remove_text=True)
+@image_comparison(['markevery_log_scales.png'], remove_text=True)
 def test_markevery_log_scales():
     cases = [None,
              8,
@@ -931,8 +1946,7 @@ def test_markevery_log_scales():
         plt.plot(x, y, 'o', ls='-', ms=4,  markevery=case)
 
 
-@image_comparison(baseline_images=['markevery_polar'],
-                  remove_text=True)
+@image_comparison(['markevery_polar.png'], style='default', remove_text=True)
 def test_markevery_polar():
     cases = [None,
              8,
@@ -956,867 +1970,2277 @@ def test_markevery_polar():
         plt.plot(theta, r, 'o', ls='-', ms=4,  markevery=case)
 
 
-@image_comparison(baseline_images=['marker_edges'],
-                  remove_text=True, tol=3)
+@image_comparison(['markevery_linear_scales_nans.png'], remove_text=True)
+def test_markevery_linear_scales_nans():
+    cases = [None,
+             8,
+             (30, 8),
+             [16, 24, 30], [0, -1],
+             slice(100, 200, 3),
+             0.1, 0.3, 1.5,
+             (0.0, 0.1), (0.45, 0.1)]
+
+    cols = 3
+    gs = matplotlib.gridspec.GridSpec(len(cases) // cols + 1, cols)
+
+    delta = 0.11
+    x = np.linspace(0, 10 - 2 * delta, 200) + delta
+    y = np.sin(x) + 1.0 + delta
+    y[:10] = y[-20:] = y[50:70] = np.nan
+
+    for i, case in enumerate(cases):
+        row = (i // cols)
+        col = i % cols
+        plt.subplot(gs[row, col])
+        plt.title('markevery=%s' % str(case))
+        plt.plot(x, y, 'o', ls='-', ms=4,  markevery=case)
+
+
+@image_comparison(['marker_edges'], remove_text=True)
 def test_marker_edges():
     x = np.linspace(0, 1, 10)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, np.sin(x), 'y.', ms=30.0, mew=0, mec='r')
     ax.plot(x+0.1, np.sin(x), 'y.', ms=30.0, mew=1, mec='r')
     ax.plot(x+0.2, np.sin(x), 'y.', ms=30.0, mew=2, mec='b')
 
 
-@image_comparison(baseline_images=['hist_log'],
-                  remove_text=True)
-def test_hist_log():
-    data0 = np.linspace(0, 1, 200)**3
-    data = np.r_[1-data0, 1+data0]
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.hist(data, fill=False, log=True)
+@image_comparison(['bar_tick_label_single.png', 'bar_tick_label_single.png'])
+def test_bar_tick_label_single():
+    # From 2516: plot bar with array of string labels for x axis
+    ax = plt.gca()
+    ax.bar(0, 1, align='edge', tick_label='0')
 
+    # Reuse testcase from above for a labeled data test
+    data = {"a": 0, "b": 1}
+    fig, ax = plt.subplots()
+    ax = plt.gca()
+    ax.bar("a", "b", align='edge', tick_label='0', data=data)
 
-@image_comparison(baseline_images=['hist_steplog'], remove_text=True)
-def test_hist_steplog():
-    np.random.seed(0)
-    data = np.random.standard_normal(2000)
-    data += -2.0 - np.min(data)
-    data_pos = data + 2.1
-    data_big = data_pos + 30
-    weights = np.ones_like(data) * 1.e-5
 
-    ax = plt.subplot(4, 1, 1)
-    plt.hist(data, 100, histtype='stepfilled', log=True)
+def test_nan_bar_values():
+    fig, ax = plt.subplots()
+    ax.bar([0, 1], [np.nan, 4])
 
-    ax = plt.subplot(4, 1, 2)
-    plt.hist(data_pos, 100, histtype='stepfilled', log=True)
 
-    ax = plt.subplot(4, 1, 3)
-    plt.hist(data, 100, weights=weights, histtype='stepfilled', log=True)
+def test_bar_ticklabel_fail():
+    fig, ax = plt.subplots()
+    ax.bar([], [])
 
-    ax = plt.subplot(4, 1, 4)
-    plt.hist(data_big, 100, histtype='stepfilled', log=True, orientation='horizontal')
 
+@image_comparison(['bar_tick_label_multiple.png'])
+def test_bar_tick_label_multiple():
+    # From 2516: plot bar with array of string labels for x axis
+    ax = plt.gca()
+    ax.bar([1, 2.5], [1, 2], width=[0.2, 0.5], tick_label=['a', 'b'],
+           align='center')
 
-def contour_dat():
-    x = np.linspace(-3, 5, 150)
-    y = np.linspace(-3, 5, 120)
-    z = np.cos(x) + np.sin(y[:, np.newaxis])
-    return x, y, z
 
+@image_comparison(['bar_tick_label_multiple_old_label_alignment.png'])
+def test_bar_tick_label_multiple_old_alignment():
+    # Test that the alignment for class is backward compatible
+    matplotlib.rcParams["ytick.alignment"] = "center"
+    ax = plt.gca()
+    ax.bar([1, 2.5], [1, 2], width=[0.2, 0.5], tick_label=['a', 'b'],
+           align='center')
+
+
+@check_figures_equal()
+def test_bar_decimal_center(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    x0 = [1.5, 8.4, 5.3, 4.2]
+    y0 = [1.1, 2.2, 3.3, 4.4]
+    x = [Decimal(x) for x in x0]
+    y = [Decimal(y) for y in y0]
+    # Test image - vertical, align-center bar chart with Decimal() input
+    ax.bar(x, y, align='center')
+    # Reference image
+    ax = fig_ref.subplots()
+    ax.bar(x0, y0, align='center')
+
+
+@check_figures_equal()
+def test_barh_decimal_center(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    x0 = [1.5, 8.4, 5.3, 4.2]
+    y0 = [1.1, 2.2, 3.3, 4.4]
+    x = [Decimal(x) for x in x0]
+    y = [Decimal(y) for y in y0]
+    # Test image - horizontal, align-center bar chart with Decimal() input
+    ax.barh(x, y, height=[0.5, 0.5, 1, 1], align='center')
+    # Reference image
+    ax = fig_ref.subplots()
+    ax.barh(x0, y0, height=[0.5, 0.5, 1, 1], align='center')
+
+
+@check_figures_equal()
+def test_bar_decimal_width(fig_test, fig_ref):
+    x = [1.5, 8.4, 5.3, 4.2]
+    y = [1.1, 2.2, 3.3, 4.4]
+    w0 = [0.7, 1.45, 1, 2]
+    w = [Decimal(i) for i in w0]
+    # Test image - vertical bar chart with Decimal() width
+    ax = fig_test.subplots()
+    ax.bar(x, y, width=w, align='center')
+    # Reference image
+    ax = fig_ref.subplots()
+    ax.bar(x, y, width=w0, align='center')
+
+
+@check_figures_equal()
+def test_barh_decimal_height(fig_test, fig_ref):
+    x = [1.5, 8.4, 5.3, 4.2]
+    y = [1.1, 2.2, 3.3, 4.4]
+    h0 = [0.7, 1.45, 1, 2]
+    h = [Decimal(i) for i in h0]
+    # Test image - horizontal bar chart with Decimal() height
+    ax = fig_test.subplots()
+    ax.barh(x, y, height=h, align='center')
+    # Reference image
+    ax = fig_ref.subplots()
+    ax.barh(x, y, height=h0, align='center')
+
+
+def test_bar_color_none_alpha():
+    ax = plt.gca()
+    rects = ax.bar([1, 2], [2, 4], alpha=0.3, color='none', edgecolor='r')
+    for rect in rects:
+        assert rect.get_facecolor() == (0, 0, 0, 0)
+        assert rect.get_edgecolor() == (1, 0, 0, 0.3)
 
-@image_comparison(baseline_images=['contour_hatching'])
-def test_contour_hatching():
-    x, y, z = contour_dat()
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    cs = ax.contourf(x, y, z, hatches=['-', '/', '\\', '//'],
-                     cmap=plt.get_cmap('gray'),
-                     extend='both', alpha=0.5)
+def test_bar_edgecolor_none_alpha():
+    ax = plt.gca()
+    rects = ax.bar([1, 2], [2, 4], alpha=0.3, color='r', edgecolor='none')
+    for rect in rects:
+        assert rect.get_facecolor() == (1, 0, 0, 0.3)
+        assert rect.get_edgecolor() == (0, 0, 0, 0)
 
 
-@image_comparison(baseline_images=['contour_colorbar'])
-def test_contour_colorbar():
-    x, y, z = contour_dat()
+@image_comparison(['barh_tick_label.png'])
+def test_barh_tick_label():
+    # From 2516: plot barh with array of string labels for y axis
+    ax = plt.gca()
+    ax.barh([1, 2.5], [1, 2], height=[0.2, 0.5], tick_label=['a', 'b'],
+            align='center')
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    cs = ax.contourf(x, y, z, levels=np.arange(-1.8, 1.801, 0.2),
-                     cmap=plt.get_cmap('RdBu'),
-                     vmin=-0.6,
-                     vmax=0.6,
-                     extend='both')
-    cs1 = ax.contour(x, y, z, levels=np.arange(-2.2, -0.599, 0.2),
-                     colors=['y'],
-                     linestyles='solid',
-                     linewidths=2)
-    cs2 = ax.contour(x, y, z, levels=np.arange(0.6, 2.2, 0.2),
-                     colors=['c'],
-                     linewidths=2)
-    cbar = fig.colorbar(cs, ax=ax)
-    cbar.add_lines(cs1)
-    cbar.add_lines(cs2, erase=False)
 
+def test_bar_timedelta():
+    """Smoketest that bar can handle width and height in delta units."""
+    fig, ax = plt.subplots()
+    ax.bar(datetime.datetime(2018, 1, 1), 1.,
+           width=datetime.timedelta(hours=3))
+    ax.bar(datetime.datetime(2018, 1, 1), 1.,
+           xerr=datetime.timedelta(hours=2),
+           width=datetime.timedelta(hours=3))
+    fig, ax = plt.subplots()
+    ax.barh(datetime.datetime(2018, 1, 1), 1,
+            height=datetime.timedelta(hours=3))
+    ax.barh(datetime.datetime(2018, 1, 1), 1,
+            height=datetime.timedelta(hours=3),
+            yerr=datetime.timedelta(hours=2))
+    fig, ax = plt.subplots()
+    ax.barh([datetime.datetime(2018, 1, 1), datetime.datetime(2018, 1, 1)],
+            np.array([1, 1.5]),
+            height=datetime.timedelta(hours=3))
+    ax.barh([datetime.datetime(2018, 1, 1), datetime.datetime(2018, 1, 1)],
+            np.array([1, 1.5]),
+            height=[datetime.timedelta(hours=t) for t in [1, 2]])
+    ax.broken_barh([(datetime.datetime(2018, 1, 1),
+                     datetime.timedelta(hours=1))],
+                   (10, 20))
+
+
+def test_bar_datetime_start():
+    """test that tickers are correct for datetimes"""
+    start = np.array([np.datetime64('2012-01-01'), np.datetime64('2012-02-01'),
+                      np.datetime64('2012-01-15')])
+    stop = np.array([np.datetime64('2012-02-07'), np.datetime64('2012-02-13'),
+                     np.datetime64('2012-02-12')])
 
-@image_comparison(baseline_images=['hist2d'])
-def test_hist2d():
-    np.random.seed(0)
-    # make it not symetric in case we switch x and y axis
-    x = np.random.randn(100)*2+5
-    y = np.random.randn(100)-2
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.hist2d(x, y, bins=10)
+    fig, ax = plt.subplots()
+    ax.bar([0, 1, 3], height=stop-start, bottom=start)
+    assert isinstance(ax.yaxis.get_major_formatter(), mdates.AutoDateFormatter)
 
+    fig, ax = plt.subplots()
+    ax.barh([0, 1, 3], width=stop-start, left=start)
+    assert isinstance(ax.xaxis.get_major_formatter(), mdates.AutoDateFormatter)
 
-@image_comparison(baseline_images=['hist2d_transpose'])
-def test_hist2d_transpose():
-    np.random.seed(0)
-    # make sure the the output from np.histogram is transposed before
-    # passing to pcolorfast
-    x = np.array([5]*100)
-    y = np.random.randn(100)-2
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.hist2d(x, y, bins=10)
 
+@image_comparison(["grouped_bar.png"], style="mpl20")
+def test_grouped_bar():
+    data = {
+        'data1': [1, 2, 3],
+        'data2': [1.2, 2.2, 3.2],
+        'data3': [1.4, 2.4, 3.4],
+    }
 
-@image_comparison(baseline_images=['scatter'])
-def test_scatter_plot():
-    ax = plt.axes()
-    ax.scatter([3, 4, 2, 6], [2, 5, 2, 3], c=['r', 'y', 'b', 'lime'], s=[24, 15, 19, 29])
+    fig, ax = plt.subplots()
+    ax.grouped_bar(data, tick_labels=['A', 'B', 'C'],
+                   group_spacing=0.5, bar_spacing=0.1,
+                   colors=['#1f77b4', '#58a1cf', '#abd0e6'])
+    ax.set_yticks([])
+
+
+@check_figures_equal()
+def test_grouped_bar_list_of_datasets(fig_test, fig_ref):
+    categories = ['A', 'B']
+    data1 = [1, 1.2]
+    data2 = [2, 2.4]
+    data3 = [3, 3.6]
+
+    ax = fig_test.subplots()
+    ax.grouped_bar([data1, data2, data3], tick_labels=categories,
+                   labels=["data1", "data2", "data3"])
+    ax.legend()
 
+    ax = fig_ref.subplots()
+    label_pos = np.array([0, 1])
+    bar_width = 1 / (3 + 1.5)  # 3 bars + 1.5 group_spacing
+    data_shift = -1 * bar_width + np.array([0, bar_width, 2 * bar_width])
+    ax.bar(label_pos + data_shift[0], data1, width=bar_width, label="data1")
+    ax.bar(label_pos + data_shift[1], data2, width=bar_width, label="data2")
+    ax.bar(label_pos + data_shift[2], data3, width=bar_width, label="data3")
+    ax.set_xticks(label_pos, categories)
+    ax.legend()
 
-@cleanup
-def test_as_mpl_axes_api():
-    # tests the _as_mpl_axes api
-    from matplotlib.projections.polar import PolarAxes
-    import matplotlib.axes as maxes
 
-    class Polar(object):
-        def __init__(self):
-            self.theta_offset = 0
+@check_figures_equal()
+def test_grouped_bar_dict_of_datasets(fig_test, fig_ref):
+    categories = ['A', 'B']
+    data_dict = dict(data1=[1, 1.2], data2=[2, 2.4], data3=[3, 3.6])
 
-        def _as_mpl_axes(self):
-            # implement the matplotlib axes interface
-            return PolarAxes, {'theta_offset': self.theta_offset}
-    prj = Polar()
-    prj2 = Polar()
-    prj2.theta_offset = np.pi
-    prj3 = Polar()
+    ax = fig_test.subplots()
+    ax.grouped_bar(data_dict, tick_labels=categories)
+    ax.legend()
 
-    # testing axes creation with plt.axes
-    ax = plt.axes([0, 0, 1, 1], projection=prj)
-    assert type(ax) == PolarAxes, \
-        'Expected a PolarAxes, got %s' % type(ax)
-    ax_via_gca = plt.gca(projection=prj)
-    assert ax_via_gca is ax
-    plt.close()
+    ax = fig_ref.subplots()
+    ax.grouped_bar(data_dict.values(), tick_labels=categories, labels=data_dict.keys())
+    ax.legend()
 
-    # testing axes creation with gca
-    ax = plt.gca(projection=prj)
-    assert type(ax) == maxes._subplots._subplot_classes[PolarAxes], \
-        'Expected a PolarAxesSubplot, got %s' % type(ax)
-    ax_via_gca = plt.gca(projection=prj)
-    assert ax_via_gca is ax
-    # try getting the axes given a different polar projection
-    ax_via_gca = plt.gca(projection=prj2)
-    assert ax_via_gca is not ax
-    assert ax.get_theta_offset() == 0, ax.get_theta_offset()
-    assert ax_via_gca.get_theta_offset() == np.pi, ax_via_gca.get_theta_offset()
-    # try getting the axes given an == (not is) polar projection
-    ax_via_gca = plt.gca(projection=prj3)
-    assert ax_via_gca is ax
-    plt.close()
 
-    # testing axes creation with subplot
-    ax = plt.subplot(121, projection=prj)
-    assert type(ax) == maxes._subplots._subplot_classes[PolarAxes], \
-        'Expected a PolarAxesSubplot, got %s' % type(ax)
-    plt.close()
+@check_figures_equal()
+def test_grouped_bar_array(fig_test, fig_ref):
+    categories = ['A', 'B']
+    array = np.array([[1, 2, 3], [1.2, 2.4, 3.6]])
+    labels = ['data1', 'data2', 'data3']
 
+    ax = fig_test.subplots()
+    ax.grouped_bar(array, tick_labels=categories, labels=labels)
+    ax.legend()
 
-@image_comparison(baseline_images=['log_scales'])
-def test_log_scales():
-    fig = plt.figure()
-    ax = plt.gca()
-    plt.plot(np.log(np.linspace(0.1, 100)))
-    ax.set_yscale('log', basey=5.5)
-    ax.invert_yaxis()
-    ax.set_xscale('log', basex=9.0)
+    ax = fig_ref.subplots()
+    list_of_datasets = [column for column in array.T]
+    ax.grouped_bar(list_of_datasets, tick_labels=categories, labels=labels)
+    ax.legend()
 
 
-@image_comparison(baseline_images=['stackplot_test_image'])
-def test_stackplot():
-    fig = plt.figure()
-    x = np.linspace(0, 10, 10)
-    y1 = 1.0 * x
-    y2 = 2.0 * x + 1
-    y3 = 3.0 * x + 2
-    ax = fig.add_subplot(1, 1, 1)
-    ax.stackplot(x, y1, y2, y3)
-    ax.set_xlim((0, 10))
-    ax.set_ylim((0, 70))
+@check_figures_equal()
+def test_grouped_bar_dataframe(fig_test, fig_ref, pd):
+    categories = ['A', 'B']
+    labels = ['data1', 'data2', 'data3']
+    df = pd.DataFrame([[1, 2, 3], [1.2, 2.4, 3.6]],
+                      index=categories, columns=labels)
 
+    ax = fig_test.subplots()
+    ax.grouped_bar(df)
+    ax.legend()
 
-@image_comparison(baseline_images=['stackplot_test_baseline'],
-                  remove_text=True)
-def test_stackplot_baseline():
-    np.random.seed(0)
+    ax = fig_ref.subplots()
+    list_of_datasets = [df[col].to_numpy() for col in df.columns]
+    ax.grouped_bar(list_of_datasets, tick_labels=categories, labels=labels)
+    ax.legend()
 
-    def layers(n, m):
-        def bump(a):
-            x = 1 / (.1 + np.random.random())
-            y = 2 * np.random.random() - .5
-            z = 10 / (.1 + np.random.random())
-            for i in range(m):
-                w = (i / float(m) - y) * z
-                a[i] += x * np.exp(-w * w)
-        a = np.zeros((m, n))
-        for i in range(n):
-            for j in range(5):
-                bump(a[:, i])
-        return a
 
-    d = layers(3, 100)
+def test_grouped_bar_return_value():
+    fig, ax = plt.subplots()
+    ret = ax.grouped_bar([[1, 2, 3], [11, 12, 13]], tick_labels=['A', 'B', 'C'])
 
-    fig = plt.figure()
+    assert len(ret.bar_containers) == 2
+    for bc in ret.bar_containers:
+        assert isinstance(bc, BarContainer)
+        assert bc in ax.containers
 
-    plt.subplot(2, 2, 1)
-    plt.stackplot(list(xrange(100)), d.T, baseline='zero')
+    ret.remove()
+    for bc in ret.bar_containers:
+        assert bc not in ax.containers
 
-    plt.subplot(2, 2, 2)
-    plt.stackplot(list(xrange(100)), d.T, baseline='sym')
 
-    plt.subplot(2, 2, 3)
-    plt.stackplot(list(xrange(100)), d.T, baseline='wiggle')
+def test_boxplot_dates_pandas(pd):
+    # smoke test for boxplot and dates in pandas
+    data = np.random.rand(5, 2)
+    years = pd.date_range('1/1/2000',
+                          periods=2, freq=pd.DateOffset(years=1)).year
+    plt.figure()
+    plt.boxplot(data, positions=years)
 
-    plt.subplot(2, 2, 4)
-    plt.stackplot(list(xrange(100)), d.T, baseline='weighted_wiggle')
 
+def test_boxplot_capwidths():
+    data = np.random.rand(5, 3)
+    fig, axs = plt.subplots(9)
 
-@image_comparison(baseline_images=['bxp_baseline'],
-                  extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_baseline():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+    axs[0].boxplot(data, capwidths=[0.3, 0.2, 0.1], widths=[0.1, 0.2, 0.3])
+    axs[1].boxplot(data, capwidths=[0.3, 0.2, 0.1], widths=0.2)
+    axs[2].boxplot(data, capwidths=[0.3, 0.2, 0.1])
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats)
+    axs[3].boxplot(data, capwidths=0.5, widths=[0.1, 0.2, 0.3])
+    axs[4].boxplot(data, capwidths=0.5, widths=0.2)
+    axs[5].boxplot(data, capwidths=0.5)
 
+    axs[6].boxplot(data, widths=[0.1, 0.2, 0.3])
+    axs[7].boxplot(data, widths=0.2)
+    axs[8].boxplot(data)
 
-@image_comparison(baseline_images=['bxp_rangewhis'],
-                  extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_rangewhis():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4)),
-        whis='range'
+
+def test_pcolor_regression(pd):
+    from pandas.plotting import (
+        register_matplotlib_converters,
+        deregister_matplotlib_converters,
     )
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats)
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
 
+    times = [datetime.datetime(2021, 1, 1)]
+    while len(times) < 7:
+        times.append(times[-1] + datetime.timedelta(seconds=120))
 
-@image_comparison(baseline_images=['bxp_precentilewhis'],
-                  extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_precentilewhis():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4)),
-        whis=[5, 95]
-    )
+    y_vals = np.arange(5)
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats)
+    time_axis, y_axis = np.meshgrid(times, y_vals)
+    shape = (len(y_vals) - 1, len(times) - 1)
+    z_data = np.arange(shape[0] * shape[1])
 
+    z_data.shape = shape
+    try:
+        register_matplotlib_converters()
 
-@image_comparison(baseline_images=['bxp_with_xlabels'],
-                  extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_with_xlabels():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
-    for stats, label in zip(logstats, list('ABCD')):
-        stats['label'] = label
+        im = ax.pcolormesh(time_axis, y_axis, z_data)
+        # make sure this does not raise!
+        fig.canvas.draw()
+    finally:
+        deregister_matplotlib_converters()
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats)
 
+def test_bar_pandas(pd):
+    # Smoke test for pandas
+    df = pd.DataFrame(
+        {'year': [2018, 2018, 2018],
+         'month': [1, 1, 1],
+         'day': [1, 2, 3],
+         'value': [1, 2, 3]})
+    df['date'] = pd.to_datetime(df[['year', 'month', 'day']])
 
-@image_comparison(baseline_images=['bxp_horizontal'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_horizontal():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+    monthly = df[['date', 'value']].groupby(['date']).sum()
+    dates = monthly.index
+    forecast = monthly['value']
+    baseline = monthly['value']
 
     fig, ax = plt.subplots()
-    ax.set_xscale('log')
-    ax.bxp(logstats, vert=False)
+    ax.bar(dates, forecast, width=10, align='center')
+    ax.plot(dates, baseline, color='orange', lw=4)
 
 
-@image_comparison(baseline_images=['bxp_with_ylabels'],
-                  extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_with_ylabels():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
-    for stats, label in zip(logstats, list('ABCD')):
-        stats['label'] = label
-
+def test_bar_pandas_indexed(pd):
+    # Smoke test for indexed pandas
+    df = pd.DataFrame({"x": [1., 2., 3.], "width": [.2, .4, .6]},
+                      index=[1, 2, 3])
     fig, ax = plt.subplots()
-    ax.set_xscale('log')
-    ax.bxp(logstats, vert=False)
+    ax.bar(df.x, 1., width=df.width)
+
+
+@mpl.style.context('default')
+@check_figures_equal()
+def test_bar_hatches(fig_test, fig_ref):
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+
+    x = [1, 2]
+    y = [2, 3]
+    hatches = ['x', 'o']
+    for i in range(2):
+        ax_ref.bar(x[i], y[i], color='C0', hatch=hatches[i])
+
+    ax_test.bar(x, y, hatch=hatches)
+
+
+@pytest.mark.parametrize(
+    ("x", "width", "label", "expected_labels", "container_label"),
+    [
+        ("x", 1, "x", ["_nolegend_"], "x"),
+        (["a", "b", "c"], [10, 20, 15], ["A", "B", "C"],
+         ["A", "B", "C"], "_nolegend_"),
+        (["a", "b", "c"], [10, 20, 15], ["R", "Y", "_nolegend_"],
+         ["R", "Y", "_nolegend_"], "_nolegend_"),
+        (["a", "b", "c"], [10, 20, 15], "bars",
+         ["_nolegend_", "_nolegend_", "_nolegend_"], "bars"),
+    ]
+)
+def test_bar_labels(x, width, label, expected_labels, container_label):
+    _, ax = plt.subplots()
+    bar_container = ax.bar(x, width, label=label)
+    bar_labels = [bar.get_label() for bar in bar_container]
+    assert expected_labels == bar_labels
+    assert bar_container.get_label() == container_label
 
 
-@image_comparison(baseline_images=['bxp_patchartist'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_patchartist():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+def test_bar_labels_length():
+    _, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.bar(["x", "y"], [1, 2], label=["X", "Y", "Z"])
+    _, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.bar(["x", "y"], [1, 2], label=["X"])
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, patch_artist=True)
 
+def test_pandas_minimal_plot(pd):
+    # smoke test that series and index objects do not warn
+    for x in [pd.Series([1, 2], dtype="float64"),
+              pd.Series([1, 2], dtype="Float64")]:
+        plt.plot(x, x)
+        plt.plot(x.index, x)
+        plt.plot(x)
+        plt.plot(x.index)
+    df = pd.DataFrame({'col': [1, 2, 3]})
+    plt.plot(df)
+    plt.plot(df, df)
 
-@image_comparison(baseline_images=['bxp_custompatchartist'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_custompatchartist():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
 
+@image_comparison(['hist_log.png'], remove_text=True)
+def test_hist_log():
+    data0 = np.linspace(0, 1, 200)**3
+    data = np.concatenate([1 - data0, 1 + data0])
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    boxprops = dict(facecolor='yellow', edgecolor='green', linestyle='dotted')
-    ax.bxp(logstats, patch_artist=True, boxprops=boxprops)
+    ax.hist(data, fill=False, log=True)
 
 
-@image_comparison(baseline_images=['bxp_customoutlier'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_customoutlier():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+@check_figures_equal()
+def test_hist_log_2(fig_test, fig_ref):
+    axs_test = fig_test.subplots(2, 3)
+    axs_ref = fig_ref.subplots(2, 3)
+    for i, histtype in enumerate(["bar", "step", "stepfilled"]):
+        # Set log scale, then call hist().
+        axs_test[0, i].set_yscale("log")
+        axs_test[0, i].hist(1, 1, histtype=histtype)
+        # Call hist(), then set log scale.
+        axs_test[1, i].hist(1, 1, histtype=histtype)
+        axs_test[1, i].set_yscale("log")
+        # Use hist(..., log=True).
+        for ax in axs_ref[:, i]:
+            ax.hist(1, 1, log=True, histtype=histtype)
+
+
+def test_hist_log_barstacked():
+    fig, axs = plt.subplots(2)
+    axs[0].hist([[0], [0, 1]], 2, histtype="barstacked")
+    axs[0].set_yscale("log")
+    axs[1].hist([0, 0, 1], 2, histtype="barstacked")
+    axs[1].set_yscale("log")
+    fig.canvas.draw()
+    assert axs[0].get_ylim() == axs[1].get_ylim()
+
+
+@image_comparison(['hist_bar_empty.png'], remove_text=True)
+def test_hist_bar_empty():
+    # From #3886: creating hist from empty dataset raises ValueError
+    ax = plt.gca()
+    ax.hist([], histtype='bar')
+
+
+def test_hist_float16():
+    np.random.seed(19680801)
+    values = np.clip(
+        np.random.normal(0.5, 0.3, size=1000), 0, 1).astype(np.float16)
+    h = plt.hist(values, bins=3, alpha=0.5)
+    bc = h[2]
+    # Check that there are no overlapping rectangles
+    for r in range(1, len(bc)):
+        rleft = bc[r-1].get_corners()
+        rright = bc[r].get_corners()
+        # right hand position of left rectangle <=
+        # left hand position of right rectangle
+        assert rleft[1][0] <= rright[0][0]
+
+
+@image_comparison(['hist_step_empty.png'], remove_text=True)
+def test_hist_step_empty():
+    # From #3886: creating hist from empty dataset raises ValueError
+    ax = plt.gca()
+    ax.hist([], histtype='step')
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    flierprops = dict(linestyle='none', marker='d', markerfacecolor='g')
-    ax.bxp(logstats, flierprops=flierprops)
 
+@image_comparison(['hist_step_filled.png'], remove_text=True)
+def test_hist_step_filled():
+    np.random.seed(0)
+    x = np.random.randn(1000, 3)
+    n_bins = 10
 
-@image_comparison(baseline_images=['bxp_withmean_custompoint'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_showcustommean():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+    kwargs = [{'fill': True}, {'fill': False}, {'fill': None}, {}]*2
+    types = ['step']*4+['stepfilled']*4
+    fig, axs = plt.subplots(nrows=2, ncols=4)
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    meanprops = dict(linestyle='none', marker='d', markerfacecolor='green')
-    ax.bxp(logstats, showmeans=True, meanprops=meanprops)
+    for kg, _type, ax in zip(kwargs, types, axs.flat):
+        ax.hist(x, n_bins, histtype=_type, stacked=True, **kg)
+        ax.set_title(f'{kg}/{_type}')
+        ax.set_ylim(bottom=-50)
 
+    patches = axs[0, 0].patches
+    assert all(p.get_facecolor() == p.get_edgecolor() for p in patches)
 
-@image_comparison(baseline_images=['bxp_custombox'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_custombox():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
 
+@image_comparison(['hist_density.png'])
+def test_hist_density():
+    np.random.seed(19680801)
+    data = np.random.standard_normal(2000)
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    boxprops = dict(linestyle='--', color='b', linewidth=3)
-    ax.bxp(logstats, boxprops=boxprops)
+    ax.hist(data, density=True)
 
 
-@image_comparison(baseline_images=['bxp_custommedian'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_custommedian():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+def test_hist_unequal_bins_density():
+    # Test correct behavior of normalized histogram with unequal bins
+    # https://github.com/matplotlib/matplotlib/issues/9557
+    rng = np.random.RandomState(57483)
+    t = rng.randn(100)
+    bins = [-3, -1, -0.5, 0, 1, 5]
+    mpl_heights, _, _ = plt.hist(t, bins=bins, density=True)
+    np_heights, _ = np.histogram(t, bins=bins, density=True)
+    assert_allclose(mpl_heights, np_heights)
+
 
+def test_hist_datetime_datasets():
+    data = [[datetime.datetime(2017, 1, 1), datetime.datetime(2017, 1, 1)],
+            [datetime.datetime(2017, 1, 1), datetime.datetime(2017, 1, 2)]]
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    medianprops = dict(linestyle='--', color='b', linewidth=3)
-    ax.bxp(logstats, medianprops=medianprops)
+    ax.hist(data, stacked=True)
+    ax.hist(data, stacked=False)
 
 
-@image_comparison(baseline_images=['bxp_customcap'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_customcap():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+@pytest.mark.parametrize("bins_preprocess",
+                         [mpl.dates.date2num,
+                          lambda bins: bins,
+                          lambda bins: np.asarray(bins, 'datetime64')],
+                         ids=['date2num', 'datetime.datetime',
+                              'np.datetime64'])
+def test_hist_datetime_datasets_bins(bins_preprocess):
+    data = [[datetime.datetime(2019, 1, 5), datetime.datetime(2019, 1, 11),
+             datetime.datetime(2019, 2, 1), datetime.datetime(2019, 3, 1)],
+            [datetime.datetime(2019, 1, 11), datetime.datetime(2019, 2, 5),
+             datetime.datetime(2019, 2, 18), datetime.datetime(2019, 3, 1)]]
+
+    date_edges = [datetime.datetime(2019, 1, 1), datetime.datetime(2019, 2, 1),
+                  datetime.datetime(2019, 3, 1)]
 
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    capprops = dict(linestyle='--', color='g', linewidth=3)
-    ax.bxp(logstats, capprops=capprops)
+    _, bins, _ = ax.hist(data, bins=bins_preprocess(date_edges), stacked=True)
+    np.testing.assert_allclose(bins, mpl.dates.date2num(date_edges))
 
+    _, bins, _ = ax.hist(data, bins=bins_preprocess(date_edges), stacked=False)
+    np.testing.assert_allclose(bins, mpl.dates.date2num(date_edges))
 
-@image_comparison(baseline_images=['bxp_customwhisker'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_customwhisker():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    whiskerprops = dict(linestyle='-', color='m', linewidth=3)
-    ax.bxp(logstats, whiskerprops=whiskerprops)
+@pytest.mark.parametrize('data, expected_number_of_hists',
+                         [([], 1),
+                          ([[]], 1),
+                          ([[], []], 2)])
+def test_hist_with_empty_input(data, expected_number_of_hists):
+    hists, _, _ = plt.hist(data)
+    hists = np.asarray(hists)
 
+    if hists.ndim == 1:
+        assert 1 == expected_number_of_hists
+    else:
+        assert hists.shape[0] == expected_number_of_hists
+
+
+@pytest.mark.parametrize("histtype, zorder",
+                         [("bar", mpl.patches.Patch.zorder),
+                          ("step", mpl.lines.Line2D.zorder),
+                          ("stepfilled", mpl.patches.Patch.zorder)])
+def test_hist_zorder(histtype, zorder):
+    ax = plt.figure().add_subplot()
+    ax.hist([1, 2], histtype=histtype)
+    assert ax.patches
+    for patch in ax.patches:
+        assert patch.get_zorder() == zorder
 
-@image_comparison(baseline_images=['bxp_withnotch'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_shownotches():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
 
+def test_stairs_no_baseline_fill_warns():
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, shownotches=True)
+    with pytest.warns(UserWarning, match="baseline=None and fill=True"):
+        ax.stairs(
+            [4, 5, 1, 0, 2],
+            [1, 2, 3, 4, 5, 6],
+            facecolor="blue",
+            baseline=None,
+            fill=True
+        )
 
 
-@image_comparison(baseline_images=['bxp_nocaps'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_nocaps():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+@check_figures_equal()
+def test_stairs(fig_test, fig_ref):
+    import matplotlib.lines as mlines
+    y = np.array([6, 14, 32, 37, 48, 32, 21,  4])  # hist
+    x = np.array([1., 2., 3., 4., 5., 6., 7., 8., 9.])  # bins
+
+    test_axes = fig_test.subplots(3, 2).flatten()
+    test_axes[0].stairs(y, x, baseline=None)
+    test_axes[1].stairs(y, x, baseline=None, orientation='horizontal')
+    test_axes[2].stairs(y, x)
+    test_axes[3].stairs(y, x, orientation='horizontal')
+    test_axes[4].stairs(y, x)
+    test_axes[4].semilogy()
+    test_axes[5].stairs(y, x, orientation='horizontal')
+    test_axes[5].semilogx()
+
+    # defaults of `PathPatch` to be used for all following Line2D
+    style = {'solid_joinstyle': 'miter', 'solid_capstyle': 'butt'}
+
+    ref_axes = fig_ref.subplots(3, 2).flatten()
+    ref_axes[0].plot(x, np.append(y, y[-1]), drawstyle='steps-post', **style)
+    ref_axes[1].plot(np.append(y[0], y), x, drawstyle='steps-post', **style)
+
+    ref_axes[2].plot(x, np.append(y, y[-1]), drawstyle='steps-post', **style)
+    ref_axes[2].add_line(mlines.Line2D([x[0], x[0]], [0, y[0]], **style))
+    ref_axes[2].add_line(mlines.Line2D([x[-1], x[-1]], [0, y[-1]], **style))
+    ref_axes[2].set_ylim(0, None)
+
+    ref_axes[3].plot(np.append(y[0], y), x, drawstyle='steps-post', **style)
+    ref_axes[3].add_line(mlines.Line2D([0, y[0]], [x[0], x[0]], **style))
+    ref_axes[3].add_line(mlines.Line2D([0, y[-1]], [x[-1], x[-1]], **style))
+    ref_axes[3].set_xlim(0, None)
+
+    ref_axes[4].plot(x, np.append(y, y[-1]), drawstyle='steps-post', **style)
+    ref_axes[4].add_line(mlines.Line2D([x[0], x[0]], [0, y[0]], **style))
+    ref_axes[4].add_line(mlines.Line2D([x[-1], x[-1]], [0, y[-1]], **style))
+    ref_axes[4].semilogy()
+
+    ref_axes[5].plot(np.append(y[0], y), x, drawstyle='steps-post', **style)
+    ref_axes[5].add_line(mlines.Line2D([0, y[0]], [x[0], x[0]], **style))
+    ref_axes[5].add_line(mlines.Line2D([0, y[-1]], [x[-1], x[-1]], **style))
+    ref_axes[5].semilogx()
+
+
+@check_figures_equal()
+def test_stairs_fill(fig_test, fig_ref):
+    h, bins = [1, 2, 3, 4, 2], [0, 1, 2, 3, 4, 5]
+    bs = -2
+    # Test
+    test_axes = fig_test.subplots(2, 2).flatten()
+    test_axes[0].stairs(h, bins, fill=True)
+    test_axes[1].stairs(h, bins, orientation='horizontal', fill=True)
+    test_axes[2].stairs(h, bins, baseline=bs, fill=True)
+    test_axes[3].stairs(h, bins, baseline=bs, orientation='horizontal',
+                        fill=True)
+
+    # # Ref
+    ref_axes = fig_ref.subplots(2, 2).flatten()
+    ref_axes[0].fill_between(bins, np.append(h, h[-1]), step='post', lw=0)
+    ref_axes[0].set_ylim(0, None)
+    ref_axes[1].fill_betweenx(bins, np.append(h, h[-1]), step='post', lw=0)
+    ref_axes[1].set_xlim(0, None)
+    ref_axes[2].fill_between(bins, np.append(h, h[-1]),
+                             np.ones(len(h)+1)*bs, step='post', lw=0)
+    ref_axes[2].set_ylim(bs, None)
+    ref_axes[3].fill_betweenx(bins, np.append(h, h[-1]),
+                              np.ones(len(h)+1)*bs, step='post', lw=0)
+    ref_axes[3].set_xlim(bs, None)
+
+
+@check_figures_equal()
+def test_stairs_update(fig_test, fig_ref):
+    # fixed ylim because stairs() does autoscale, but updating data does not
+    ylim = -3, 4
+    # Test
+    test_ax = fig_test.add_subplot()
+    h = test_ax.stairs([1, 2, 3])
+    test_ax.set_ylim(ylim)
+    h.set_data([3, 2, 1])
+    h.set_data(edges=np.arange(4)+2)
+    h.set_data([1, 2, 1], np.arange(4)/2)
+    h.set_data([1, 2, 3])
+    h.set_data(None, np.arange(4))
+    assert np.allclose(h.get_data()[0], np.arange(1, 4))
+    assert np.allclose(h.get_data()[1], np.arange(4))
+    h.set_data(baseline=-2)
+    assert h.get_data().baseline == -2
+
+    # Ref
+    ref_ax = fig_ref.add_subplot()
+    h = ref_ax.stairs([1, 2, 3], baseline=-2)
+    ref_ax.set_ylim(ylim)
+
+
+@check_figures_equal()
+def test_stairs_baseline_None(fig_test, fig_ref):
+    x = np.array([0, 2, 3, 5, 10])
+    y = np.array([1.148, 1.231, 1.248, 1.25])
+
+    test_axes = fig_test.add_subplot()
+    test_axes.stairs(y, x, baseline=None)
+
+    style = {'solid_joinstyle': 'miter', 'solid_capstyle': 'butt'}
+
+    ref_axes = fig_ref.add_subplot()
+    ref_axes.plot(x, np.append(y, y[-1]), drawstyle='steps-post', **style)
+
+
+def test_stairs_empty():
+    ax = plt.figure().add_subplot()
+    ax.stairs([], [42])
+    assert ax.get_xlim() == (39, 45)
+    assert ax.get_ylim() == (-0.06, 0.06)
+
+
+def test_stairs_invalid_nan():
+    with pytest.raises(ValueError, match='Nan values in "edges"'):
+        plt.stairs([1, 2], [0, np.nan, 1])
+
+
+def test_stairs_invalid_mismatch():
+    with pytest.raises(ValueError, match='Size mismatch'):
+        plt.stairs([1, 2], [0, 1])
+
+
+def test_stairs_invalid_update():
+    h = plt.stairs([1, 2], [0, 1, 2])
+    with pytest.raises(ValueError, match='Nan values in "edges"'):
+        h.set_data(edges=[1, np.nan, 2])
+
+
+def test_stairs_invalid_update2():
+    h = plt.stairs([1, 2], [0, 1, 2])
+    with pytest.raises(ValueError, match='Size mismatch'):
+        h.set_data(edges=np.arange(5))
+
+
+@image_comparison(['test_stairs_options.png'], remove_text=True)
+def test_stairs_options():
+    x, y = np.array([1, 2, 3, 4, 5]), np.array([1, 2, 3, 4]).astype(float)
+    yn = y.copy()
+    yn[1] = np.nan
 
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, showcaps=False)
+    ax.stairs(y*3, x, color='green', fill=True, label="A")
+    ax.stairs(y, x*3-3, color='red', fill=True,
+              orientation='horizontal', label="B")
+    ax.stairs(yn, x, color='orange', ls='--', lw=2, label="C")
+    ax.stairs(yn/3, x*3-2, ls='--', lw=2, baseline=0.5,
+              orientation='horizontal', label="D")
+    ax.stairs(y[::-1]*3+13, x-1, color='red', ls='--', lw=2, baseline=None,
+              label="E")
+    ax.stairs(y[::-1]*3+14, x, baseline=26,
+              color='purple', ls='--', lw=2, label="F")
+    ax.stairs(yn[::-1]*3+15, x+1, baseline=np.linspace(27, 25, len(y)),
+              color='blue', ls='--', label="G", fill=True)
+    ax.stairs(y[:-1][::-1]*2+11, x[:-1]+0.5, color='black', ls='--', lw=2,
+              baseline=12, hatch='//', label="H")
+    ax.legend(loc=0)
+
+
+@image_comparison(['test_stairs_datetime.png'])
+def test_stairs_datetime():
+    f, ax = plt.subplots(constrained_layout=True)
+    ax.stairs(np.arange(36),
+              np.arange(np.datetime64('2001-12-27'),
+                        np.datetime64('2002-02-02')))
+    plt.xticks(rotation=30)
+
+
+@check_figures_equal()
+def test_stairs_edge_handling(fig_test, fig_ref):
+    # Test
+    test_ax = fig_test.add_subplot()
+    test_ax.stairs([1, 2, 3], color='red', fill=True)
+
+    # Ref
+    ref_ax = fig_ref.add_subplot()
+    st = ref_ax.stairs([1, 2, 3], fill=True)
+    st.set_color('red')
 
 
-@image_comparison(baseline_images=['bxp_nobox'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_nobox():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+def contour_dat():
+    x = np.linspace(-3, 5, 150)
+    y = np.linspace(-3, 5, 120)
+    z = np.cos(x) + np.sin(y[:, np.newaxis])
+    return x, y, z
 
+
+@image_comparison(['contour_hatching'], remove_text=True, style='mpl20')
+def test_contour_hatching():
+    x, y, z = contour_dat()
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, showbox=False)
+    ax.contourf(x, y, z, 7, hatches=['/', '\\', '//', '-'],
+                cmap=mpl.colormaps['gray'].with_alpha(0.5),
+                extend='both')
 
 
-@image_comparison(baseline_images=['bxp_withmean_point'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_showmean():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+@image_comparison(['contour_colorbar'], style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.54)
+def test_contour_colorbar():
+    x, y, z = contour_dat()
 
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, showmeans=True, meanline=False)
+    cs = ax.contourf(x, y, z, levels=np.arange(-1.8, 1.801, 0.2),
+                     cmap=mpl.colormaps['RdBu'],
+                     vmin=-0.6,
+                     vmax=0.6,
+                     extend='both')
+    cs1 = ax.contour(x, y, z, levels=np.arange(-2.2, -0.599, 0.2),
+                     colors=['y'],
+                     linestyles='solid',
+                     linewidths=2)
+    cs2 = ax.contour(x, y, z, levels=np.arange(0.6, 2.2, 0.2),
+                     colors=['c'],
+                     linewidths=2)
+    cbar = fig.colorbar(cs, ax=ax)
+    cbar.add_lines(cs1)
+    cbar.add_lines(cs2, erase=False)
 
 
-@image_comparison(baseline_images=['bxp_withmean_line'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_showmeanasline():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+@image_comparison(['hist2d.png', 'hist2d.png'], remove_text=True, style='mpl20')
+def test_hist2d():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
 
+    np.random.seed(0)
+    # make it not symmetric in case we switch x and y axis
+    x = np.random.randn(100)*2+5
+    y = np.random.randn(100)-2
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, showmeans=True, meanline=True)
+    ax.hist2d(x, y, bins=10, rasterized=True)
 
+    # Reuse testcase from above for a labeled data test
+    data = {"x": x, "y": y}
+    fig, ax = plt.subplots()
+    ax.hist2d("x", "y", bins=10, data=data, rasterized=True)
 
-@image_comparison(baseline_images=['bxp_scalarwidth'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_scalarwidth():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
 
+@image_comparison(['hist2d_transpose.png'], remove_text=True, style='mpl20')
+def test_hist2d_transpose():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    np.random.seed(0)
+    # make sure the output from np.histogram is transposed before
+    # passing to pcolorfast
+    x = np.array([5]*100)
+    y = np.random.randn(100)-2
     fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, widths=0.25)
+    ax.hist2d(x, y, bins=10, rasterized=True)
+
+
+def test_hist2d_density():
+    x, y = np.random.random((2, 100))
+    ax = plt.figure().subplots()
+    for obj in [ax, plt]:
+        obj.hist2d(x, y, density=True)
+
+
+class TestScatter:
+    @image_comparison(['scatter'], style='mpl20', remove_text=True)
+    def test_scatter_plot(self):
+        data = {"x": np.array([3, 4, 2, 6]), "y": np.array([2, 5, 2, 3]),
+                "c": ['r', 'y', 'b', 'lime'], "s": [24, 15, 19, 29],
+                "c2": ['0.5', '0.6', '0.7', '0.8']}
+
+        fig, ax = plt.subplots()
+        ax.scatter(data["x"] - 1., data["y"] - 1., c=data["c"], s=data["s"])
+        ax.scatter(data["x"] + 1., data["y"] + 1., c=data["c2"], s=data["s"])
+        ax.scatter("x", "y", c="c", s="s", data=data)
+
+    @image_comparison(['scatter_marker.png'], remove_text=True)
+    def test_scatter_marker(self):
+        fig, (ax0, ax1, ax2) = plt.subplots(ncols=3)
+        ax0.scatter([3, 4, 2, 6], [2, 5, 2, 3],
+                    c=[(1, 0, 0), 'y', 'b', 'lime'],
+                    s=[60, 50, 40, 30],
+                    edgecolors=['k', 'r', 'g', 'b'],
+                    marker='s')
+        ax1.scatter([3, 4, 2, 6], [2, 5, 2, 3],
+                    c=[(1, 0, 0), 'y', 'b', 'lime'],
+                    s=[60, 50, 40, 30],
+                    edgecolors=['k', 'r', 'g', 'b'],
+                    marker=mmarkers.MarkerStyle('o', fillstyle='top'))
+        # unit area ellipse
+        rx, ry = 3, 1
+        area = rx * ry * np.pi
+        theta = np.linspace(0, 2 * np.pi, 21)
+        verts = np.column_stack([np.cos(theta) * rx / area,
+                                 np.sin(theta) * ry / area])
+        ax2.scatter([3, 4, 2, 6], [2, 5, 2, 3],
+                    c=[(1, 0, 0), 'y', 'b', 'lime'],
+                    s=[60, 50, 40, 30],
+                    edgecolors=['k', 'r', 'g', 'b'],
+                    marker=verts)
+
+    @image_comparison(['scatter_2D'], remove_text=True, extensions=['png'])
+    def test_scatter_2D(self):
+        x = np.arange(3)
+        y = np.arange(2)
+        x, y = np.meshgrid(x, y)
+        z = x + y
+        fig, ax = plt.subplots()
+        ax.scatter(x, y, c=z, s=200, edgecolors='face')
+
+    @check_figures_equal()
+    def test_scatter_decimal(self, fig_test, fig_ref):
+        x0 = np.array([1.5, 8.4, 5.3, 4.2])
+        y0 = np.array([1.1, 2.2, 3.3, 4.4])
+        x = np.array([Decimal(i) for i in x0])
+        y = np.array([Decimal(i) for i in y0])
+        c = ['r', 'y', 'b', 'lime']
+        s = [24, 15, 19, 29]
+        # Test image - scatter plot with Decimal() input
+        ax = fig_test.subplots()
+        ax.scatter(x, y, c=c, s=s)
+        # Reference image
+        ax = fig_ref.subplots()
+        ax.scatter(x0, y0, c=c, s=s)
+
+    def test_scatter_color(self):
+        # Try to catch cases where 'c' kwarg should have been used.
+        with pytest.raises(ValueError):
+            plt.scatter([1, 2], [1, 2], color=[0.1, 0.2])
+        with pytest.raises(ValueError):
+            plt.scatter([1, 2, 3], [1, 2, 3], color=[1, 2, 3])
+
+    @pytest.mark.parametrize('kwargs',
+                                [
+                                    {'cmap': 'gray'},
+                                    {'norm': mcolors.Normalize()},
+                                    {'vmin': 0},
+                                    {'vmax': 0}
+                                ])
+    def test_scatter_color_warning(self, kwargs):
+        warn_match = "No data for colormapping provided "
+        # Warn for cases where 'cmap', 'norm', 'vmin', 'vmax'
+        # kwargs are being overridden
+        with pytest.warns(Warning, match=warn_match):
+            plt.scatter([], [], **kwargs)
+        with pytest.warns(Warning, match=warn_match):
+            plt.scatter([1, 2], [3, 4], c=[], **kwargs)
+        # Do not warn for cases where 'c' matches 'x' and 'y'
+        plt.scatter([], [], c=[], **kwargs)
+        plt.scatter([1, 2], [3, 4], c=[4, 5], **kwargs)
+
+    def test_scatter_unfilled(self):
+        coll = plt.scatter([0, 1, 2], [1, 3, 2], c=['0.1', '0.3', '0.5'],
+                           marker=mmarkers.MarkerStyle('o', fillstyle='none'),
+                           linewidths=[1.1, 1.2, 1.3])
+        assert coll.get_facecolors().shape == (0, 4)  # no facecolors
+        assert_array_equal(coll.get_edgecolors(), [[0.1, 0.1, 0.1, 1],
+                                                   [0.3, 0.3, 0.3, 1],
+                                                   [0.5, 0.5, 0.5, 1]])
+        assert_array_equal(coll.get_linewidths(), [1.1, 1.2, 1.3])
+
+    @mpl.style.context('default')
+    def test_scatter_unfillable(self):
+        coll = plt.scatter([0, 1, 2], [1, 3, 2], c=['0.1', '0.3', '0.5'],
+                           marker='x',
+                           linewidths=[1.1, 1.2, 1.3])
+        assert_array_equal(coll.get_facecolors(), coll.get_edgecolors())
+        assert_array_equal(coll.get_edgecolors(), [[0.1, 0.1, 0.1, 1],
+                                                   [0.3, 0.3, 0.3, 1],
+                                                   [0.5, 0.5, 0.5, 1]])
+        assert_array_equal(coll.get_linewidths(), [1.1, 1.2, 1.3])
+
+    def test_scatter_size_arg_size(self):
+        x = np.arange(4)
+        with pytest.raises(ValueError, match='same size as x and y'):
+            plt.scatter(x, x, x[1:])
+        with pytest.raises(ValueError, match='same size as x and y'):
+            plt.scatter(x[1:], x[1:], x)
+        with pytest.raises(ValueError, match='float array-like'):
+            plt.scatter(x, x, 'foo')
+
+    def test_scatter_edgecolor_RGB(self):
+        # GitHub issue 19066
+        coll = plt.scatter([1, 2, 3], [1, np.nan, np.nan],
+                            edgecolor=(1, 0, 0))
+        assert mcolors.same_color(coll.get_edgecolor(), (1, 0, 0))
+        coll = plt.scatter([1, 2, 3, 4], [1, np.nan, np.nan, 1],
+                            edgecolor=(1, 0, 0, 1))
+        assert mcolors.same_color(coll.get_edgecolor(), (1, 0, 0, 1))
+
+    @check_figures_equal()
+    def test_scatter_invalid_color(self, fig_test, fig_ref):
+        ax = fig_test.subplots()
+        cmap = mpl.colormaps["viridis"].resampled(16)
+        cmap.set_bad("k", 1)
+        # Set a nonuniform size to prevent the last call to `scatter` (plotting
+        # the invalid points separately in fig_ref) from using the marker
+        # stamping fast path, which would result in slightly offset markers.
+        ax.scatter(range(4), range(4),
+                   c=[1, np.nan, 2, np.nan], s=[1, 2, 3, 4],
+                   cmap=cmap, plotnonfinite=True)
+        ax = fig_ref.subplots()
+        cmap = mpl.colormaps["viridis"].resampled(16)
+        ax.scatter([0, 2], [0, 2], c=[1, 2], s=[1, 3], cmap=cmap)
+        ax.scatter([1, 3], [1, 3], s=[2, 4], color="k")
+
+    @check_figures_equal()
+    def test_scatter_no_invalid_color(self, fig_test, fig_ref):
+        # With plotnonfinite=False we plot only 2 points.
+        ax = fig_test.subplots()
+        cmap = mpl.colormaps["viridis"].resampled(16)
+        cmap.set_bad("k", 1)
+        ax.scatter(range(4), range(4),
+                   c=[1, np.nan, 2, np.nan], s=[1, 2, 3, 4],
+                   cmap=cmap, plotnonfinite=False)
+        ax = fig_ref.subplots()
+        ax.scatter([0, 2], [0, 2], c=[1, 2], s=[1, 3], cmap=cmap)
+
+    def test_scatter_norm_vminvmax(self):
+        """Parameters vmin, vmax should error if norm is given."""
+        x = [1, 2, 3]
+        ax = plt.axes()
+        with pytest.raises(ValueError,
+                           match="Passing a Normalize instance simultaneously "
+                                 "with vmin/vmax is not supported."):
+            ax.scatter(x, x, c=x, norm=mcolors.Normalize(-10, 10),
+                       vmin=0, vmax=5)
+
+    @check_figures_equal()
+    def test_scatter_single_point(self, fig_test, fig_ref):
+        ax = fig_test.subplots()
+        ax.scatter(1, 1, c=1)
+        ax = fig_ref.subplots()
+        ax.scatter([1], [1], c=[1])
+
+    @check_figures_equal()
+    def test_scatter_different_shapes(self, fig_test, fig_ref):
+        x = np.arange(10)
+        ax = fig_test.subplots()
+        ax.scatter(x, x.reshape(2, 5), c=x.reshape(5, 2))
+        ax = fig_ref.subplots()
+        ax.scatter(x.reshape(5, 2), x, c=x.reshape(2, 5))
+
+    # Parameters for *test_scatter_c*. NB: assuming that the
+    # scatter plot will have 4 elements. The tuple scheme is:
+    # (*c* parameter case, exception regexp key or None if no exception)
+    params_test_scatter_c = [
+        # single string:
+        ('0.5', None),
+        # Single letter-sequences
+        (["rgby"], "conversion"),
+        # Special cases
+        ("red", None),
+        ("none", None),
+        (None, None),
+        (["r", "g", "b", "none"], None),
+        # Non-valid color spec (FWIW, 'jaune' means yellow in French)
+        ("jaune", "conversion"),
+        (["jaune"], "conversion"),  # wrong type before wrong size
+        (["jaune"]*4, "conversion"),
+        # Value-mapping like
+        ([0.5]*3, None),  # should emit a warning for user's eyes though
+        ([0.5]*4, None),  # NB: no warning as matching size allows mapping
+        ([0.5]*5, "shape"),
+        # list of strings:
+        (['0.5', '0.4', '0.6', '0.7'], None),
+        (['0.5', 'red', '0.6', 'C5'], None),
+        (['0.5', 0.5, '0.6', 'C5'], "conversion"),
+        # RGB values
+        ([[1, 0, 0]], None),
+        ([[1, 0, 0]]*3, "shape"),
+        ([[1, 0, 0]]*4, None),
+        ([[1, 0, 0]]*5, "shape"),
+        # RGBA values
+        ([[1, 0, 0, 0.5]], None),
+        ([[1, 0, 0, 0.5]]*3, "shape"),
+        ([[1, 0, 0, 0.5]]*4, None),
+        ([[1, 0, 0, 0.5]]*5, "shape"),
+        # Mix of valid color specs
+        ([[1, 0, 0, 0.5]]*3 + [[1, 0, 0]], None),
+        ([[1, 0, 0, 0.5], "red", "0.0"], "shape"),
+        ([[1, 0, 0, 0.5], "red", "0.0", "C5"], None),
+        ([[1, 0, 0, 0.5], "red", "0.0", "C5", [0, 1, 0]], "shape"),
+        # Mix of valid and non valid color specs
+        ([[1, 0, 0, 0.5], "red", "jaune"], "conversion"),
+        ([[1, 0, 0, 0.5], "red", "0.0", "jaune"], "conversion"),
+        ([[1, 0, 0, 0.5], "red", "0.0", "C5", "jaune"], "conversion"),
+    ]
+
+    @pytest.mark.parametrize('c_case, re_key', params_test_scatter_c)
+    def test_scatter_c(self, c_case, re_key):
+        def get_next_color():   # pragma: no cover
+            return 'blue'  # currently unused
+
+        xsize = 4
+        # Additional checking of *c* (introduced in #11383).
+        REGEXP = {
+            "shape": "^'c' argument has [0-9]+ elements",  # shape mismatch
+            "conversion": "^'c' argument must be a color",  # bad vals
+            }
+
+        assert_context = (
+            pytest.raises(ValueError, match=REGEXP[re_key])
+            if re_key is not None
+            else pytest.warns(match="argument looks like a single numeric RGB")
+            if isinstance(c_case, list) and len(c_case) == 3
+            else contextlib.nullcontext()
+        )
+        with assert_context:
+            mpl.axes.Axes._parse_scatter_color_args(
+                c=c_case, edgecolors="black", kwargs={}, xsize=xsize,
+                get_next_color_func=get_next_color)
+
+    @mpl.style.context('default')
+    @check_figures_equal()
+    def test_scatter_single_color_c(self, fig_test, fig_ref):
+        rgb = [[1, 0.5, 0.05]]
+        rgba = [[1, 0.5, 0.05, .5]]
+
+        # set via color kwarg
+        ax_ref = fig_ref.subplots()
+        ax_ref.scatter(np.ones(3), range(3), color=rgb)
+        ax_ref.scatter(np.ones(4)*2, range(4), color=rgba)
+
+        # set via broadcasting via c
+        ax_test = fig_test.subplots()
+        ax_test.scatter(np.ones(3), range(3), c=rgb)
+        ax_test.scatter(np.ones(4)*2, range(4), c=rgba)
+
+    def test_scatter_linewidths(self):
+        x = np.arange(5)
+
+        fig, ax = plt.subplots()
+        for i in range(3):
+            pc = ax.scatter(x, np.full(5, i), c=f'C{i}', marker='x', s=100,
+                            linewidths=i + 1)
+            assert pc.get_linewidths() == i + 1
+
+        pc = ax.scatter(x, np.full(5, 3), c='C3', marker='x', s=100,
+                        linewidths=[*range(1, 5), None])
+        assert_array_equal(pc.get_linewidths(),
+                           [*range(1, 5), mpl.rcParams['lines.linewidth']])
+
+    def test_scatter_singular_plural_arguments(self):
+
+        with pytest.raises(TypeError,
+                           match="Got both 'linewidth' and 'linewidths',\
+ which are aliases of one another"):
+            plt.scatter([1, 2, 3], [1, 2, 3], linewidths=[0.5, 0.4, 0.3], linewidth=0.2)
+
+        with pytest.raises(TypeError,
+                           match="Got both 'edgecolor' and 'edgecolors',\
+ which are aliases of one another"):
+            plt.scatter([1, 2, 3], [1, 2, 3],
+                        edgecolors=["#ffffff", "#000000", "#f0f0f0"],
+                          edgecolor="#ffffff")
+
+        with pytest.raises(TypeError,
+                           match="Got both 'facecolors' and 'facecolor',\
+ which are aliases of one another"):
+            plt.scatter([1, 2, 3], [1, 2, 3],
+                        facecolors=["#ffffff", "#000000", "#f0f0f0"],
+                            facecolor="#ffffff")
+
+
+def _params(c=None, xsize=2, *, edgecolors=None, **kwargs):
+    return (c, edgecolors, kwargs, xsize)
+_result = namedtuple('_result', 'c, colors')
+
+
+@pytest.mark.parametrize(
+    'params, expected_result',
+    [(_params(),
+      _result(c='b', colors=np.array([[0, 0, 1, 1]]))),
+     (_params(c='r'),
+      _result(c='r', colors=np.array([[1, 0, 0, 1]]))),
+     (_params(c='r', colors='b'),
+      _result(c='r', colors=np.array([[1, 0, 0, 1]]))),
+     # color
+     (_params(color='b'),
+      _result(c='b', colors=np.array([[0, 0, 1, 1]]))),
+     (_params(color=['b', 'g']),
+      _result(c=['b', 'g'], colors=np.array([[0, 0, 1, 1], [0, .5, 0, 1]]))),
+     ])
+def test_parse_scatter_color_args(params, expected_result):
+    def get_next_color():   # pragma: no cover
+        return 'blue'  # currently unused
+
+    c, colors, _edgecolors = mpl.axes.Axes._parse_scatter_color_args(
+        *params, get_next_color_func=get_next_color)
+    assert c == expected_result.c
+    assert_allclose(colors, expected_result.colors)
+
+del _params
+del _result
+
+
+@pytest.mark.parametrize(
+    'kwargs, expected_edgecolors',
+    [(dict(), None),
+     (dict(c='b'), None),
+     (dict(edgecolors='r'), 'r'),
+     (dict(edgecolors=['r', 'g']), ['r', 'g']),
+     (dict(edgecolor='r'), 'r'),
+     (dict(edgecolors='face'), 'face'),
+     (dict(edgecolors='none'), 'none'),
+     (dict(edgecolor='r', edgecolors='g'), 'r'),
+     (dict(c='b', edgecolor='r', edgecolors='g'), 'r'),
+     (dict(color='r'), 'r'),
+     (dict(color='r', edgecolor='g'), 'g'),
+     ])
+def test_parse_scatter_color_args_edgecolors(kwargs, expected_edgecolors):
+    def get_next_color():   # pragma: no cover
+        return 'blue'  # currently unused
+
+    c = kwargs.pop('c', None)
+    edgecolors = kwargs.pop('edgecolors', None)
+    _, _, result_edgecolors = \
+        mpl.axes.Axes._parse_scatter_color_args(
+            c, edgecolors, kwargs, xsize=2, get_next_color_func=get_next_color)
+    assert result_edgecolors == expected_edgecolors
+
+
+def test_parse_scatter_color_args_error():
+    def get_next_color():   # pragma: no cover
+        return 'blue'  # currently unused
+
+    with pytest.raises(ValueError,
+                       match="RGBA values should be within 0-1 range"):
+        c = np.array([[0.1, 0.2, 0.7], [0.2, 0.4, 1.4]])  # value > 1
+        mpl.axes.Axes._parse_scatter_color_args(
+            c, None, kwargs={}, xsize=2, get_next_color_func=get_next_color)
+
+
+# Warning message tested in the next two tests.
+WARN_MSG = (
+    "You passed both c and facecolor/facecolors for the markers. "
+    "c has precedence over facecolor/facecolors. This behavior may "
+    "change in the future."
+)
+# Test cases shared between direct and integration tests
+COLOR_TEST_CASES = [
+    ('red', 'blue'),
+    (['red', 'blue'], ['green', 'yellow']),
+    ([[1, 0, 0], [0, 1, 0]], [[0, 0, 1], [1, 1, 0]])
+]
+
+
+@pytest.mark.parametrize('c, facecolor', COLOR_TEST_CASES)
+def test_parse_c_facecolor_warning_direct(c, facecolor):
+    """Test the internal _parse_scatter_color_args method directly."""
+    def get_next_color():   # pragma: no cover
+        return 'blue'  # currently unused
+
+    # Test with facecolors (plural)
+    with pytest.warns(UserWarning, match=WARN_MSG):
+        mpl.axes.Axes._parse_scatter_color_args(
+            c=c, edgecolors=None, kwargs={'facecolors': facecolor},
+            xsize=2, get_next_color_func=get_next_color)
+
+    # Test with facecolor (singular)
+    with pytest.warns(UserWarning, match=WARN_MSG):
+        mpl.axes.Axes._parse_scatter_color_args(
+            c=c, edgecolors=None, kwargs={'facecolor': facecolor},
+            xsize=2, get_next_color_func=get_next_color)
+
+
+@pytest.mark.parametrize('c, facecolor', COLOR_TEST_CASES)
+def test_scatter_c_facecolor_warning_integration(c, facecolor):
+    """Test the warning through the actual scatter plot creation."""
+    fig, ax = plt.subplots()
+    x = [0, 1] if isinstance(c, (list, tuple)) else [0]
+    y = x
 
+    # Test with facecolors (plural)
+    with pytest.warns(UserWarning, match=WARN_MSG):
+        ax.scatter(x, y, c=c, facecolors=facecolor)
 
-@image_comparison(baseline_images=['bxp_customwidths'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_customwidths():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+    # Test with facecolor (singular)
+    with pytest.warns(UserWarning, match=WARN_MSG):
+        ax.scatter(x, y, c=c, facecolor=facecolor)
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, widths=[0.10, 0.25, 0.65, 0.85])
 
+def test_as_mpl_axes_api():
+    # tests the _as_mpl_axes api
+    class Polar:
+        def __init__(self):
+            self.theta_offset = 0
 
-@image_comparison(baseline_images=['bxp_custompositions'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_bxp_custompositions():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+        def _as_mpl_axes(self):
+            # implement the matplotlib axes interface
+            return PolarAxes, {'theta_offset': self.theta_offset}
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    ax.bxp(logstats, positions=[1, 5, 6, 7])
+    prj = Polar()
+    prj2 = Polar()
+    prj2.theta_offset = np.pi
 
+    # testing axes creation with plt.axes
+    ax = plt.axes((0, 0, 1, 1), projection=prj)
+    assert type(ax) is PolarAxes
+    plt.close()
 
-@cleanup
-def test_bxp_bad_widths():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
-    )
+    # testing axes creation with subplot
+    ax = plt.subplot(121, projection=prj)
+    assert type(ax) is PolarAxes
+    plt.close()
 
-    fig, ax = plt.subplots()
-    ax.set_yscale('log')
-    assert_raises(ValueError, ax.bxp, logstats, widths=[1])
 
+def test_pyplot_axes():
+    # test focusing of Axes in other Figure
+    fig1, ax1 = plt.subplots()
+    fig2, ax2 = plt.subplots()
+    plt.sca(ax1)
+    assert ax1 is plt.gca()
+    assert fig1 is plt.gcf()
+    plt.close(fig1)
+    plt.close(fig2)
 
-@cleanup
-def test_bxp_bad_positions():
-    np.random.seed(937)
-    logstats = matplotlib.cbook.boxplot_stats(
-        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4))
+
+def test_log_scales():
+    fig, ax = plt.subplots()
+    ax.plot(np.log(np.linspace(0.1, 100)))
+    ax.set_yscale('log', base=5.5)
+    ax.invert_yaxis()
+    ax.set_xscale('log', base=9.0)
+    xticks, yticks = (
+        [(t.get_loc(), t.label1.get_text()) for t in axis._update_ticks()]
+        for axis in [ax.xaxis, ax.yaxis]
     )
+    assert xticks == [
+        (1.0, '$\\mathdefault{9^{0}}$'),
+        (9.0, '$\\mathdefault{9^{1}}$'),
+        (81.0, '$\\mathdefault{9^{2}}$'),
+        (2.0, ''),
+        (3.0, ''),
+        (4.0, ''),
+        (5.0, ''),
+        (6.0, ''),
+        (7.0, ''),
+        (8.0, ''),
+        (18.0, ''),
+        (27.0, ''),
+        (36.0, ''),
+        (45.0, ''),
+        (54.0, ''),
+        (63.0, ''),
+        (72.0, ''),
+    ]
+    assert yticks == [
+        (0.18181818181818182, '$\\mathdefault{5.5^{-1}}$'),
+        (1.0, '$\\mathdefault{5.5^{0}}$'),
+        (5.5, '$\\mathdefault{5.5^{1}}$'),
+        (0.36363636363636365, ''),
+        (0.5454545454545454, ''),
+        (0.7272727272727273, ''),
+        (0.9090909090909092, ''),
+        (2.0, ''),
+        (3.0, ''),
+        (4.0, ''),
+        (5.0, ''),
+    ]
+
+
+def test_log_scales_no_data():
+    _, ax = plt.subplots()
+    ax.set(xscale="log", yscale="log")
+    ax.xaxis.set_major_locator(mticker.MultipleLocator(1))
+    assert ax.get_xlim() == ax.get_ylim() == (1, 10)
 
+
+def test_log_scales_invalid():
     fig, ax = plt.subplots()
+    ax.set_xscale('log')
+    with pytest.warns(UserWarning, match='Attempt to set non-positive'):
+        ax.set_xlim(-1, 10)
     ax.set_yscale('log')
-    assert_raises(ValueError, ax.bxp, logstats, positions=[2, 3])
+    with pytest.warns(UserWarning, match='Attempt to set non-positive'):
+        ax.set_ylim(-1, 10)
 
 
-@image_comparison(baseline_images=['boxplot'])
-def test_boxplot():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
+@image_comparison(['stackplot_test_image.png', 'stackplot_test_image.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.031)
+def test_stackplot():
+    fig = plt.figure()
+    x = np.linspace(0, 10, 10)
+    y1 = 1.0 * x
+    y2 = 2.0 * x + 1
+    y3 = 3.0 * x + 2
+    ax = fig.add_subplot(1, 1, 1)
+    ax.stackplot(x, y1, y2, y3)
+    ax.set_xlim((0, 10))
+    ax.set_ylim((0, 70))
+
+    # Reuse testcase from above for a test with labeled data and with colours
+    # from the Axes property cycle.
+    data = {"x": x, "y1": y1, "y2": y2, "y3": y3}
     fig, ax = plt.subplots()
+    ax.stackplot("x", "y1", "y2", "y3", data=data, colors=["C0", "C1", "C2"])
+    ax.set_xlim((0, 10))
+    ax.set_ylim((0, 70))
 
-    ax.boxplot([x, x], bootstrap=10000, notch=1)
-    ax.set_ylim((-30, 30))
 
+@image_comparison(['stackplot_test_baseline.png'], remove_text=True)
+def test_stackplot_baseline():
+    np.random.seed(0)
 
-@image_comparison(baseline_images=['boxplot_sym2'],
-                  remove_text=True, extensions=['png'])
-def test_boxplot_sym2():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig, [ax1, ax2] = plt.subplots(1, 2)
+    def layers(n, m):
+        a = np.zeros((m, n))
+        for i in range(n):
+            for j in range(5):
+                x = 1 / (.1 + np.random.random())
+                y = 2 * np.random.random() - .5
+                z = 10 / (.1 + np.random.random())
+                a[:, i] += x * np.exp(-((np.arange(m) / m - y) * z) ** 2)
+        return a
 
-    ax1.boxplot([x, x], bootstrap=10000, sym='^')
-    ax1.set_ylim((-30, 30))
+    d = layers(3, 100)
+    d[50, :] = 0  # test for fixed weighted wiggle (issue #6313)
 
-    ax2.boxplot([x, x], bootstrap=10000, sym='g')
-    ax2.set_ylim((-30, 30))
+    fig, axs = plt.subplots(2, 2)
 
+    axs[0, 0].stackplot(range(100), d.T, baseline='zero')
+    axs[0, 1].stackplot(range(100), d.T, baseline='sym')
+    axs[1, 0].stackplot(range(100), d.T, baseline='wiggle')
+    axs[1, 1].stackplot(range(100), d.T, baseline='weighted_wiggle')
 
-@image_comparison(baseline_images=['boxplot_sym'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_boxplot_sym():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
+
+@check_figures_equal()
+def test_stackplot_hatching(fig_ref, fig_test):
+    x = np.linspace(0, 10, 10)
+    y1 = 1.0 * x
+    y2 = 2.0 * x + 1
+    y3 = 3.0 * x + 2
+    # stackplot with different hatching styles (issue #27146)
+    ax_test = fig_test.subplots()
+    ax_test.stackplot(x, y1, y2, y3, hatch=["x", "//", "\\\\"], colors=["white"])
+    ax_test.set_xlim((0, 10))
+    ax_test.set_ylim((0, 70))
+    # compare with result from hatching each layer individually
+    stack_baseline = np.zeros(len(x))
+    ax_ref = fig_ref.subplots()
+    ax_ref.fill_between(x, stack_baseline, y1, hatch="x", facecolor="white")
+    ax_ref.fill_between(x, y1, y1+y2, hatch="//", facecolor="white")
+    ax_ref.fill_between(x, y1+y2, y1+y2+y3, hatch="\\\\", facecolor="white")
+    ax_ref.set_xlim((0, 10))
+    ax_ref.set_ylim((0, 70))
+
+
+def _bxp_test_helper(
+        stats_kwargs={}, transform_stats=lambda s: s, bxp_kwargs={}):
+    np.random.seed(937)
+    logstats = mpl.cbook.boxplot_stats(
+        np.random.lognormal(mean=1.25, sigma=1., size=(37, 4)), **stats_kwargs)
     fig, ax = plt.subplots()
+    if bxp_kwargs.get('orientation', 'vertical') == 'vertical':
+        ax.set_yscale('log')
+    else:
+        ax.set_xscale('log')
+    # Work around baseline images generate back when bxp did not respect the
+    # boxplot.boxprops.linewidth rcParam when patch_artist is False.
+    if not bxp_kwargs.get('patch_artist', False):
+        mpl.rcParams['boxplot.boxprops.linewidth'] = \
+            mpl.rcParams['lines.linewidth']
+    ax.bxp(transform_stats(logstats), **bxp_kwargs)
+
+
+@image_comparison(['bxp_baseline.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_baseline():
+    _bxp_test_helper()
 
-    ax.boxplot([x, x], sym='gs')
-    ax.set_ylim((-30, 30))
 
+@image_comparison(['bxp_rangewhis.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_rangewhis():
+    _bxp_test_helper(stats_kwargs=dict(whis=[0, 100]))
 
-@image_comparison(baseline_images=['boxplot_autorange_whiskers'])
-def test_boxplot_autorange_whiskers():
-    x = np.ones(140)
-    x = np.hstack([0, x, 2])
-    fig, ax = plt.subplots()
 
-    ax.boxplot([x, x], bootstrap=10000, notch=1)
-    ax.set_ylim((-5, 5))
+@image_comparison(['bxp_percentilewhis.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_percentilewhis():
+    _bxp_test_helper(stats_kwargs=dict(whis=[5, 95]))
 
 
-@image_comparison(baseline_images=['boxplot_with_CIarray'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_boxplot_with_CIarray():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    CIs = np.array([[-1.5, 3.], [-1., 3.5]])
+@image_comparison(['bxp_with_xlabels.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_with_xlabels():
+    def transform(stats):
+        for s, label in zip(stats, list('ABCD')):
+            s['label'] = label
+        return stats
 
-    # show 1 boxplot with mpl medians/conf. interfals, 1 with manual values
-    ax.boxplot([x, x], bootstrap=10000, usermedians=[None, 1.0],
-               conf_intervals=CIs, notch=1)
-    ax.set_ylim((-30, 30))
+    _bxp_test_helper(transform_stats=transform)
 
 
-@image_comparison(baseline_images=['boxplot_no_inverted_whisker'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_boxplot_no_weird_whisker():
-    x = np.array([3, 9000, 150, 88, 350, 200000, 1400, 960],
-                 dtype=np.float64)
-    ax1 = plt.axes()
-    ax1.boxplot(x)
-    ax1.set_yscale('log')
-    ax1.yaxis.grid(False, which='minor')
-    ax1.xaxis.grid(False)
+@image_comparison(['bxp_horizontal.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default',
+                  tol=0.1)
+def test_bxp_horizontal():
+    _bxp_test_helper(bxp_kwargs=dict(orientation='horizontal'))
 
 
-@cleanup
-def test_boxplot_bad_medians_1():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig, ax = plt.subplots()
-    assert_raises(ValueError, ax.boxplot, x,  usermedians=[1, 2])
+@image_comparison(['bxp_with_ylabels.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default',
+                  tol=0.1)
+def test_bxp_with_ylabels():
+    def transform(stats):
+        for s, label in zip(stats, list('ABCD')):
+            s['label'] = label
+        return stats
 
+    _bxp_test_helper(transform_stats=transform,
+                     bxp_kwargs=dict(orientation='horizontal'))
 
-@cleanup
-def test_boxplot_bad_medians_2():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig, ax = plt.subplots()
-    assert_raises(ValueError, ax.boxplot, [x, x],  usermedians=[[1, 2], [1, 2]])
 
+@image_comparison(['bxp_patchartist.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_patchartist():
+    _bxp_test_helper(bxp_kwargs=dict(patch_artist=True))
 
-@cleanup
-def test_boxplot_bad_ci_1():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig, ax = plt.subplots()
-    assert_raises(ValueError, ax.boxplot, [x, x],
-                  conf_intervals=[[1, 2]])
 
+@image_comparison(['bxp_custompatchartist.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 100},
+                  style='default')
+def test_bxp_custompatchartist():
+    _bxp_test_helper(bxp_kwargs=dict(
+        patch_artist=True,
+        boxprops=dict(facecolor='yellow', edgecolor='green', ls=':')))
 
-@cleanup
-def test_boxplot_bad_ci_2():
-    x = np.linspace(-7, 7, 140)
-    x = np.hstack([-25, x, 25])
-    fig, ax = plt.subplots()
-    assert_raises(ValueError, ax.boxplot, [x, x],
-                  conf_intervals=[[1, 2], [1]])
 
+@image_comparison(['bxp_customoutlier.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_customoutlier():
+    _bxp_test_helper(bxp_kwargs=dict(
+        flierprops=dict(linestyle='none', marker='d', mfc='g')))
 
-@image_comparison(baseline_images=['boxplot_mod_artists_after_plotting'],
-                  remove_text=True, extensions=['png'],
-                  savefig_kwarg={'dpi': 40})
-def test_boxplot_mod_artist_after_plotting():
-    x = [0.15, 0.11, 0.06, 0.06, 0.12, 0.56, -0.56]
-    fig, ax = plt.subplots()
-    bp = ax.boxplot(x, sym="o")
-    for key in bp:
-        for obj in bp[key]:
-            obj.set_color('green')
 
+@image_comparison(['bxp_withmean_custompoint.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_showcustommean():
+    _bxp_test_helper(bxp_kwargs=dict(
+        showmeans=True,
+        meanprops=dict(linestyle='none', marker='d', mfc='green'),
+    ))
 
-@image_comparison(baseline_images=['violinplot_vert_baseline'],
-                  extensions=['png'])
-def test_vert_violinplot_baseline():
+
+@image_comparison(['bxp_custombox.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_custombox():
+    _bxp_test_helper(bxp_kwargs=dict(
+        boxprops=dict(linestyle='--', color='b', lw=3)))
+
+
+@image_comparison(['bxp_custommedian.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_custommedian():
+    _bxp_test_helper(bxp_kwargs=dict(
+        medianprops=dict(linestyle='--', color='b', lw=3)))
+
+
+@image_comparison(['bxp_customcap.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_customcap():
+    _bxp_test_helper(bxp_kwargs=dict(
+        capprops=dict(linestyle='--', color='g', lw=3)))
+
+
+@image_comparison(['bxp_customwhisker.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_customwhisker():
+    _bxp_test_helper(bxp_kwargs=dict(
+        whiskerprops=dict(linestyle='-', color='m', lw=3)))
+
+
+@check_figures_equal()
+def test_boxplot_median_bound_by_box(fig_test, fig_ref):
+    data = np.arange(3)
+    medianprops_test = {"linewidth": 12}
+    medianprops_ref = {**medianprops_test, "solid_capstyle": "butt"}
+    fig_test.subplots().boxplot(data,  medianprops=medianprops_test)
+    fig_ref.subplots().boxplot(data, medianprops=medianprops_ref)
+
+
+@image_comparison(['bxp_withnotch.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_shownotches():
+    _bxp_test_helper(bxp_kwargs=dict(shownotches=True))
+
+
+@image_comparison(['bxp_nocaps.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_nocaps():
+    _bxp_test_helper(bxp_kwargs=dict(showcaps=False))
+
+
+@image_comparison(['bxp_nobox.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_nobox():
+    _bxp_test_helper(bxp_kwargs=dict(showbox=False))
+
+
+@image_comparison(['bxp_no_flier_stats.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_no_flier_stats():
+    def transform(stats):
+        for s in stats:
+            s.pop('fliers', None)
+        return stats
+
+    _bxp_test_helper(transform_stats=transform,
+                     bxp_kwargs=dict(showfliers=False))
+
+
+@image_comparison(['bxp_withmean_point.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_showmean():
+    _bxp_test_helper(bxp_kwargs=dict(showmeans=True, meanline=False))
+
+
+@image_comparison(['bxp_withmean_line.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_showmeanasline():
+    _bxp_test_helper(bxp_kwargs=dict(showmeans=True, meanline=True))
+
+
+@image_comparison(['bxp_scalarwidth.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_scalarwidth():
+    _bxp_test_helper(bxp_kwargs=dict(widths=.25))
+
+
+@image_comparison(['bxp_customwidths.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_customwidths():
+    _bxp_test_helper(bxp_kwargs=dict(widths=[0.10, 0.25, 0.65, 0.85]))
+
+
+@image_comparison(['bxp_custompositions.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_custompositions():
+    _bxp_test_helper(bxp_kwargs=dict(positions=[1, 5, 6, 7]))
+
+
+def test_bxp_bad_widths():
+    with pytest.raises(ValueError):
+        _bxp_test_helper(bxp_kwargs=dict(widths=[1]))
+
+
+def test_bxp_bad_positions():
+    with pytest.raises(ValueError):
+        _bxp_test_helper(bxp_kwargs=dict(positions=[2, 3]))
+
+
+@image_comparison(['bxp_custom_capwidths.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_custom_capwidths():
+    _bxp_test_helper(bxp_kwargs=dict(capwidths=[0.0, 0.1, 0.5, 1.0]))
+
+
+@image_comparison(['bxp_custom_capwidth.png'],
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_bxp_custom_capwidth():
+    _bxp_test_helper(bxp_kwargs=dict(capwidths=0.6))
+
+
+def test_bxp_bad_capwidths():
+    with pytest.raises(ValueError):
+        _bxp_test_helper(bxp_kwargs=dict(capwidths=[1]))
+
+
+@image_comparison(['boxplot.png', 'boxplot.png'], tol=1.28, style='default')
+def test_boxplot():
+    # Randomness used for bootstrapping.
+    np.random.seed(937)
+
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+
+    ax.boxplot([x, x], bootstrap=10000, notch=1)
+    ax.set_ylim((-30, 30))
+
+    # Reuse testcase from above for a labeled data test
+    data = {"x": [x, x]}
+    fig, ax = plt.subplots()
+    ax.boxplot("x", bootstrap=10000, notch=1, data=data)
+    ax.set_ylim((-30, 30))
+
+
+@check_figures_equal()
+def test_boxplot_masked(fig_test, fig_ref):
+    # Check that masked values are ignored when plotting a boxplot
+    x_orig = np.linspace(-1, 1, 200)
+
+    ax = fig_test.subplots()
+    x = x_orig[x_orig >= 0]
+    ax.boxplot(x)
+
+    x = np.ma.masked_less(x_orig, 0)
+    ax = fig_ref.subplots()
+    ax.boxplot(x)
+
+
+@image_comparison(['boxplot_custom_capwidths.png'],
+                  savefig_kwarg={'dpi': 40}, style='default')
+def test_boxplot_custom_capwidths():
+
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+
+    ax.boxplot([x, x], notch=1, capwidths=[0.01, 0.2])
+
+
+@image_comparison(['boxplot_sym2.png'], remove_text=True, style='default')
+def test_boxplot_sym2():
+    # Randomness used for bootstrapping.
+    np.random.seed(937)
+
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, [ax1, ax2] = plt.subplots(1, 2)
+
+    ax1.boxplot([x, x], bootstrap=10000, sym='^')
+    ax1.set_ylim((-30, 30))
+
+    ax2.boxplot([x, x], bootstrap=10000, sym='g')
+    ax2.set_ylim((-30, 30))
+
+
+@image_comparison(['boxplot_sym.png'],
+                  remove_text=True,
+                  savefig_kwarg={'dpi': 40},
+                  style='default')
+def test_boxplot_sym():
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+
+    ax.boxplot([x, x], sym='gs')
+    ax.set_ylim((-30, 30))
+
+
+@image_comparison(['boxplot_autorange_false_whiskers.png',
+                   'boxplot_autorange_true_whiskers.png'],
+                  style='default')
+def test_boxplot_autorange_whiskers():
+    # Randomness used for bootstrapping.
+    np.random.seed(937)
+
+    x = np.ones(140)
+    x = np.hstack([0, x, 2])
+
+    fig1, ax1 = plt.subplots()
+    ax1.boxplot([x, x], bootstrap=10000, notch=1)
+    ax1.set_ylim((-5, 5))
+
+    fig2, ax2 = plt.subplots()
+    ax2.boxplot([x, x], bootstrap=10000, notch=1, autorange=True)
+    ax2.set_ylim((-5, 5))
+
+
+def _rc_test_bxp_helper(ax, rc_dict):
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    with matplotlib.rc_context(rc_dict):
+        ax.boxplot([x, x])
+    return ax
+
+
+@image_comparison(['boxplot_rc_parameters.png'],
+                  savefig_kwarg={'dpi': 100}, remove_text=True,
+                  tol=1, style='default')
+def test_boxplot_rc_parameters():
+    # Randomness used for bootstrapping.
+    np.random.seed(937)
+
+    fig, ax = plt.subplots(3)
+
+    rc_axis0 = {
+        'boxplot.notch': True,
+        'boxplot.whiskers': [5, 95],
+        'boxplot.bootstrap': 10000,
+
+        'boxplot.flierprops.color': 'b',
+        'boxplot.flierprops.marker': 'o',
+        'boxplot.flierprops.markerfacecolor': 'g',
+        'boxplot.flierprops.markeredgecolor': 'b',
+        'boxplot.flierprops.markersize': 5,
+        'boxplot.flierprops.linestyle': '--',
+        'boxplot.flierprops.linewidth': 2.0,
+
+        'boxplot.boxprops.color': 'r',
+        'boxplot.boxprops.linewidth': 2.0,
+        'boxplot.boxprops.linestyle': '--',
+
+        'boxplot.capprops.color': 'c',
+        'boxplot.capprops.linewidth': 2.0,
+        'boxplot.capprops.linestyle': '--',
+
+        'boxplot.medianprops.color': 'k',
+        'boxplot.medianprops.linewidth': 2.0,
+        'boxplot.medianprops.linestyle': '--',
+    }
+
+    rc_axis1 = {
+        'boxplot.whiskers': [0, 100],
+        'boxplot.patchartist': True,
+    }
+
+    rc_axis2 = {
+        'boxplot.whiskers': 2.0,
+        'boxplot.showcaps': False,
+        'boxplot.showbox': False,
+        'boxplot.showfliers': False,
+        'boxplot.showmeans': True,
+        'boxplot.meanline': True,
+
+        'boxplot.meanprops.color': 'c',
+        'boxplot.meanprops.linewidth': 2.0,
+        'boxplot.meanprops.linestyle': '--',
+
+        'boxplot.whiskerprops.color': 'r',
+        'boxplot.whiskerprops.linewidth': 2.0,
+        'boxplot.whiskerprops.linestyle': '-.',
+    }
+    dict_list = [rc_axis0, rc_axis1, rc_axis2]
+    for axis, rc_axis in zip(ax, dict_list):
+        _rc_test_bxp_helper(axis, rc_axis)
+
+    assert (matplotlib.patches.PathPatch in
+            [type(t) for t in ax[1].get_children()])
+
+
+@image_comparison(['boxplot_with_CIarray.png'],
+                  remove_text=True, savefig_kwarg={'dpi': 40}, style='default')
+def test_boxplot_with_CIarray():
+    # Randomness used for bootstrapping.
+    np.random.seed(937)
+
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+    CIs = np.array([[-1.5, 3.], [-1., 3.5]])
+
+    # show a boxplot with Matplotlib medians and confidence intervals, and
+    # another with manual values
+    ax.boxplot([x, x], bootstrap=10000, usermedians=[None, 1.0],
+               conf_intervals=CIs, notch=1)
+    ax.set_ylim((-30, 30))
+
+
+@image_comparison(['boxplot_no_inverted_whisker.png'],
+                  remove_text=True, savefig_kwarg={'dpi': 40}, style='default')
+def test_boxplot_no_weird_whisker():
+    x = np.array([3, 9000, 150, 88, 350, 200000, 1400, 960],
+                 dtype=np.float64)
+    ax1 = plt.axes()
+    ax1.boxplot(x)
+    ax1.set_yscale('log')
+    ax1.yaxis.grid(False, which='minor')
+    ax1.xaxis.grid(False)
+
+
+def test_boxplot_bad_medians():
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.boxplot(x, usermedians=[1, 2])
+    with pytest.raises(ValueError):
+        ax.boxplot([x, x], usermedians=[[1, 2], [1, 2]])
+
+
+def test_boxplot_bad_ci():
+    x = np.linspace(-7, 7, 140)
+    x = np.hstack([-25, x, 25])
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.boxplot([x, x], conf_intervals=[[1, 2]])
+    with pytest.raises(ValueError):
+        ax.boxplot([x, x], conf_intervals=[[1, 2], [1]])
+
+
+def test_boxplot_zorder():
+    x = np.arange(10)
+    fix, ax = plt.subplots()
+    assert ax.boxplot(x)['boxes'][0].get_zorder() == 2
+    assert ax.boxplot(x, zorder=10)['boxes'][0].get_zorder() == 10
+
+
+def test_boxplot_marker_behavior():
+    plt.rcParams['lines.marker'] = 's'
+    plt.rcParams['boxplot.flierprops.marker'] = 'o'
+    plt.rcParams['boxplot.meanprops.marker'] = '^'
+    fig, ax = plt.subplots()
+    test_data = np.arange(100)
+    test_data[-1] = 150  # a flier point
+    bxp_handle = ax.boxplot(test_data, showmeans=True)
+    for bxp_lines in ['whiskers', 'caps', 'boxes', 'medians']:
+        for each_line in bxp_handle[bxp_lines]:
+            # Ensure that the rcParams['lines.marker'] is overridden by ''
+            assert each_line.get_marker() == ''
+
+    # Ensure that markers for fliers and means aren't overridden with ''
+    assert bxp_handle['fliers'][0].get_marker() == 'o'
+    assert bxp_handle['means'][0].get_marker() == '^'
+
+
+@image_comparison(['boxplot_mod_artists_after_plotting.png'],
+                  remove_text=True, savefig_kwarg={'dpi': 40}, style='default')
+def test_boxplot_mod_artist_after_plotting():
+    x = [0.15, 0.11, 0.06, 0.06, 0.12, 0.56, -0.56]
+    fig, ax = plt.subplots()
+    bp = ax.boxplot(x, sym="o")
+    for key in bp:
+        for obj in bp[key]:
+            obj.set_color('green')
+
+
+@image_comparison(['violinplot_vert_baseline.png',
+                   'violinplot_vert_baseline.png'])
+def test_vert_violinplot_baseline():
     # First 9 digits of frac(sqrt(2))
     np.random.seed(414213562)
-    data = [np.random.normal(size=100) for i in range(4)]
+    data = [np.random.normal(size=100) for _ in range(4)]
     ax = plt.axes()
-    ax.violinplot(data, positions=range(4), showmeans=0, showextrema=0,
-                  showmedians=0)
+    ax.violinplot(data, positions=range(4), showmeans=False, showextrema=False,
+                  showmedians=False)
 
+    # Reuse testcase from above for a labeled data test
+    data = {"d": data}
+    fig, ax = plt.subplots()
+    ax.violinplot("d", positions=range(4), showmeans=False, showextrema=False,
+                  showmedians=False, data=data)
 
-@image_comparison(baseline_images=['violinplot_vert_showmeans'],
-                  extensions=['png'])
+
+@image_comparison(['violinplot_vert_showmeans.png'])
 def test_vert_violinplot_showmeans():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(3))
     np.random.seed(732050807)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=1, showextrema=0,
-                  showmedians=0)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=True, showextrema=False,
+                  showmedians=False)
 
 
-@image_comparison(baseline_images=['violinplot_vert_showextrema'],
-                  extensions=['png'])
+@image_comparison(['violinplot_vert_showextrema.png'])
 def test_vert_violinplot_showextrema():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(5))
     np.random.seed(236067977)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=0, showextrema=1,
-                  showmedians=0)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=False, showextrema=True,
+                  showmedians=False)
 
 
-@image_comparison(baseline_images=['violinplot_vert_showmedians'],
-                  extensions=['png'])
+@image_comparison(['violinplot_vert_showmedians.png'])
 def test_vert_violinplot_showmedians():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(7))
     np.random.seed(645751311)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=0, showextrema=0,
-                  showmedians=1)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=False, showextrema=False,
+                  showmedians=True)
 
 
-@image_comparison(baseline_images=['violinplot_vert_showall'],
-                  extensions=['png'])
+@image_comparison(['violinplot_vert_showall.png'])
 def test_vert_violinplot_showall():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(11))
     np.random.seed(316624790)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=1, showextrema=1,
-                  showmedians=1)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=True, showextrema=True,
+                  showmedians=True,
+                  quantiles=[[0.1, 0.9], [0.2, 0.8], [0.3, 0.7], [0.4, 0.6]])
 
 
-@image_comparison(baseline_images=['violinplot_vert_custompoints_10'],
-                  extensions=['png'])
+@image_comparison(['violinplot_vert_custompoints_10.png'])
 def test_vert_violinplot_custompoints_10():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(13))
     np.random.seed(605551275)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=0, showextrema=0,
-                  showmedians=0, points=10)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=False, showextrema=False,
+                  showmedians=False, points=10)
 
 
-@image_comparison(baseline_images=['violinplot_vert_custompoints_200'],
-                  extensions=['png'])
+@image_comparison(['violinplot_vert_custompoints_200.png'])
 def test_vert_violinplot_custompoints_200():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(17))
     np.random.seed(123105625)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), showmeans=0, showextrema=0,
-                  showmedians=0, points=200)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), showmeans=False, showextrema=False,
+                  showmedians=False, points=200)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_baseline'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_baseline.png'])
 def test_horiz_violinplot_baseline():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(19))
     np.random.seed(358898943)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=0,
-                  showextrema=0, showmedians=0)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=False,
+                  showextrema=False, showmedians=False)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_showmedians'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_showmedians.png'])
 def test_horiz_violinplot_showmedians():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(23))
     np.random.seed(795831523)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=0,
-                  showextrema=0, showmedians=1)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=False,
+                  showextrema=False, showmedians=True)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_showmeans'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_showmeans.png'])
 def test_horiz_violinplot_showmeans():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(29))
     np.random.seed(385164807)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=1,
-                  showextrema=0, showmedians=0)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=True,
+                  showextrema=False, showmedians=False)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_showextrema'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_showextrema.png'])
 def test_horiz_violinplot_showextrema():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(31))
     np.random.seed(567764362)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=0,
-                  showextrema=1, showmedians=0)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=False,
+                  showextrema=True, showmedians=False)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_showall'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_showall.png'])
 def test_horiz_violinplot_showall():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(37))
     np.random.seed(82762530)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=1,
-                  showextrema=1, showmedians=1)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=True,
+                  showextrema=True, showmedians=True,
+                  quantiles=[[0.1, 0.9], [0.2, 0.8], [0.3, 0.7], [0.4, 0.6]])
 
 
-@image_comparison(baseline_images=['violinplot_horiz_custompoints_10'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_custompoints_10.png'])
 def test_horiz_violinplot_custompoints_10():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(41))
     np.random.seed(403124237)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=0,
-                  showextrema=0, showmedians=0, points=10)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=False,
+                  showextrema=False, showmedians=False, points=10)
 
 
-@image_comparison(baseline_images=['violinplot_horiz_custompoints_200'],
-                  extensions=['png'])
+@image_comparison(['violinplot_horiz_custompoints_200.png'])
 def test_horiz_violinplot_custompoints_200():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(43))
     np.random.seed(557438524)
-    data = [np.random.normal(size=100) for i in range(4)]
-    ax.violinplot(data, positions=range(4), vert=False, showmeans=0,
-                  showextrema=0, showmedians=0, points=200)
+    data = [np.random.normal(size=100) for _ in range(4)]
+    ax.violinplot(data, positions=range(4), orientation='horizontal', showmeans=False,
+                  showextrema=False, showmedians=False, points=200)
+
+
+@image_comparison(['violinplot_sides.png'], remove_text=True, style='mpl20')
+def test_violinplot_sides():
+    ax = plt.axes()
+    np.random.seed(19680801)
+    data = [np.random.normal(size=100)]
+    # Check horizontal violinplot
+    for pos, side in zip([0, -0.5, 0.5], ['both', 'low', 'high']):
+        ax.violinplot(data, positions=[pos], orientation='horizontal', showmeans=False,
+                      showextrema=True, showmedians=True, side=side)
+    # Check vertical violinplot
+    for pos, side in zip([4, 3.5, 4.5], ['both', 'low', 'high']):
+        ax.violinplot(data, positions=[pos], orientation='vertical', showmeans=False,
+                      showextrema=True, showmedians=True, side=side)
 
 
-@cleanup
 def test_violinplot_bad_positions():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(47))
     np.random.seed(855654600)
-    data = [np.random.normal(size=100) for i in range(4)]
-    assert_raises(ValueError, ax.violinplot, data, positions=range(5))
+    data = [np.random.normal(size=100) for _ in range(4)]
+    with pytest.raises(ValueError):
+        ax.violinplot(data, positions=range(5))
 
 
-@cleanup
 def test_violinplot_bad_widths():
     ax = plt.axes()
     # First 9 digits of frac(sqrt(53))
     np.random.seed(280109889)
-    data = [np.random.normal(size=100) for i in range(4)]
-    assert_raises(ValueError, ax.violinplot, data, positions=range(4),
-                  widths=[1, 2, 3])
+    data = [np.random.normal(size=100) for _ in range(4)]
+    with pytest.raises(ValueError):
+        ax.violinplot(data, positions=range(4), widths=[1, 2, 3])
+
+
+def test_violinplot_bad_quantiles():
+    ax = plt.axes()
+    # First 9 digits of frac(sqrt(73))
+    np.random.seed(544003745)
+    data = [np.random.normal(size=100)]
+
+    # Different size quantile list and plots
+    with pytest.raises(ValueError):
+        ax.violinplot(data, quantiles=[[0.1, 0.2], [0.5, 0.7]])
+
+
+def test_violinplot_outofrange_quantiles():
+    ax = plt.axes()
+    # First 9 digits of frac(sqrt(79))
+    np.random.seed(888194417)
+    data = [np.random.normal(size=100)]
+
+    # Quantile value above 100
+    with pytest.raises(ValueError):
+        ax.violinplot(data, quantiles=[[0.1, 0.2, 0.3, 1.05]])
+
+    # Quantile value below 0
+    with pytest.raises(ValueError):
+        ax.violinplot(data, quantiles=[[-0.05, 0.2, 0.3, 0.75]])
+
+
+@check_figures_equal()
+def test_violinplot_color_specification(fig_test, fig_ref):
+    # Ensures that setting colors in violinplot constructor works
+    # the same way as setting the color of each object manually
+    np.random.seed(19680801)
+    data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 4)]
+    kwargs = {'showmeans': True,
+              'showextrema': True,
+              'showmedians': True
+              }
+
+    def color_violins(parts, facecolor=None, linecolor=None):
+        """Helper to color parts manually."""
+        if facecolor is not None:
+            for pc in parts['bodies']:
+                pc.set_facecolor(facecolor)
+        if linecolor is not None:
+            for partname in ('cbars', 'cmins', 'cmaxes', 'cmeans', 'cmedians'):
+                if partname in parts:
+                    lc = parts[partname]
+                    lc.set_edgecolor(linecolor)
+
+    # Reference image
+    ax = fig_ref.subplots(1, 3)
+    parts0 = ax[0].violinplot(data, **kwargs)
+    parts1 = ax[1].violinplot(data, **kwargs)
+    parts2 = ax[2].violinplot(data, **kwargs)
+
+    color_violins(parts0, facecolor=('r', 0.5), linecolor=('r', 0.2))
+    color_violins(parts1, facecolor='r')
+    color_violins(parts2, linecolor='r')
+
+    # Test image
+    ax = fig_test.subplots(1, 3)
+    ax[0].violinplot(data, facecolor=('r', 0.5), linecolor=('r', 0.2), **kwargs)
+    ax[1].violinplot(data, facecolor='r', **kwargs)
+    ax[2].violinplot(data, linecolor='r', **kwargs)
+
+
+def test_violinplot_color_sequence():
+    # Ensures that setting a sequence of colors works the same as setting
+    # each color independently
+    np.random.seed(19680801)
+    data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 5)]
+    kwargs = {'showmeans': True, 'showextrema': True, 'showmedians': True}
+
+    def assert_colors_equal(colors1, colors2):
+        assert all(mcolors.same_color(c1, c2)
+                   for c1, c2 in zip(colors1, colors2))
+
+    # Color sequence
+    N = len(data)
+    positions = range(N)
+    facecolors = ['k', 'r', ('b', 0.5), ('g', 0.2)]
+    linecolors = [('y', 0.4), 'b', 'm', ('k', 0.8)]
+
+    # Test image
+    fig_test = plt.figure()
+    ax = fig_test.gca()
+    parts_test = ax.violinplot(data,
+                               positions=positions,
+                               facecolor=facecolors,
+                               linecolor=linecolors,
+                               **kwargs)
+
+    body_colors = [p.get_facecolor() for p in parts_test["bodies"]]
+    assert_colors_equal(body_colors, mcolors.to_rgba_array(facecolors))
+
+    for part in ["cbars", "cmins", "cmaxes", "cmeans", "cmedians"]:
+        colors_test = parts_test[part].get_edgecolor()
+        assert_colors_equal(colors_test, mcolors.to_rgba_array(linecolors))
+
+
+@check_figures_equal()
+def test_violinplot_single_list_quantiles(fig_test, fig_ref):
+    # Ensures quantile list for 1D can be passed in as single list
+    # First 9 digits of frac(sqrt(83))
+    np.random.seed(110433579)
+    data = [np.random.normal(size=100)]
+
+    # Test image
+    ax = fig_test.subplots()
+    ax.violinplot(data, quantiles=[0.1, 0.3, 0.9])
+
+    # Reference image
+    ax = fig_ref.subplots()
+    ax.violinplot(data, quantiles=[[0.1, 0.3, 0.9]])
+
+
+@check_figures_equal()
+def test_violinplot_pandas_series(fig_test, fig_ref, pd):
+    np.random.seed(110433579)
+    s1 = pd.Series(np.random.normal(size=7), index=[9, 8, 7, 6, 5, 4, 3])
+    s2 = pd.Series(np.random.normal(size=9), index=list('ABCDEFGHI'))
+    s3 = pd.Series(np.random.normal(size=11))
+    fig_test.subplots().violinplot([s1, s2, s3])
+    fig_ref.subplots().violinplot([s1.values, s2.values, s3.values])
 
 
-@cleanup
 def test_manage_xticks():
     _, ax = plt.subplots()
     ax.set_xlim(0, 4)
@@ -1824,15 +4248,35 @@ def test_manage_xticks():
     np.random.seed(0)
     y1 = np.random.normal(10, 3, 20)
     y2 = np.random.normal(3, 1, 20)
-    ax.boxplot([y1, y2], positions=[1, 2],
-               manage_xticks=False)
+    ax.boxplot([y1, y2], positions=[1, 2], manage_ticks=False)
     new_xlim = ax.get_xlim()
     assert_array_equal(old_xlim, new_xlim)
 
 
-@image_comparison(baseline_images=['errorbar_basic', 'errorbar_mixed'])
+def test_boxplot_not_single():
+    fig, ax = plt.subplots()
+    ax.boxplot(np.random.rand(100), positions=[3])
+    ax.boxplot(np.random.rand(100), positions=[5])
+    fig.canvas.draw()
+    assert ax.get_xlim() == (2.5, 5.5)
+    assert list(ax.get_xticks()) == [3, 5]
+    assert [t.get_text() for t in ax.get_xticklabels()] == ["3", "5"]
+
+
+def test_tick_space_size_0():
+    # allow font size to be zero, which affects ticks when there is
+    # no other text in the figure.
+    plt.plot([0, 1], [0, 1])
+    matplotlib.rcParams.update({'font.size': 0})
+    b = io.BytesIO()
+    plt.savefig(b, dpi=80, format='raw')
+
+
+@image_comparison(['errorbar_basic.png', 'errorbar_mixed.png', 'errorbar_basic.png'])
 def test_errorbar():
-    x = np.arange(0.1, 4, 0.5)
+    # longdouble due to floating point rounding issues with certain
+    # computer chipsets
+    x = np.arange(0.1, 4, 0.5, dtype=np.longdouble)
     y = np.exp(-x)
 
     yerr = 0.1 + 0.2*np.sqrt(x)
@@ -1870,11 +4314,102 @@ def test_errorbar():
     ax.errorbar(x, y, yerr=[yerr_lower, 2*yerr], xerr=xerr,
                 fmt='o', ecolor='g', capthick=2)
     ax.set_title('Mixed sym., log y')
+    # Force limits due to floating point slop potentially expanding the range
+    ax.set_ylim(1e-2, 1e1)
 
     fig.suptitle('Variable errorbars')
 
+    # Reuse the first testcase from above for a labeled data test
+    data = {"x": x, "y": y}
+    fig = plt.figure()
+    ax = fig.gca()
+    ax.errorbar("x", "y", xerr=0.2, yerr=0.4, data=data)
+    ax.set_title("Simplest errorbars, 0.2 in x, 0.4 in y")
+
+
+@image_comparison(['mixed_errorbar_polar_caps.png'], remove_text=True)
+def test_mixed_errorbar_polar_caps():
+    """
+    Mix several polar errorbar use cases in a single test figure.
+
+    It is advisable to position individual points off the grid. If there are
+    problems with reproducibility of this test, consider removing grid.
+    """
+    fig = plt.figure()
+    ax = plt.subplot(111, projection='polar')
+
+    # symmetric errorbars
+    th_sym = [1, 2, 3]
+    r_sym = [0.9]*3
+    ax.errorbar(th_sym, r_sym, xerr=0.35, yerr=0.2, fmt="o")
+
+    # long errorbars
+    th_long = [np.pi/2 + .1, np.pi + .1]
+    r_long = [1.8, 2.2]
+    ax.errorbar(th_long, r_long, xerr=0.8 * np.pi, yerr=0.15, fmt="o")
+
+    # asymmetric errorbars
+    th_asym = [4*np.pi/3 + .1, 5*np.pi/3 + .1, 2*np.pi-0.1]
+    r_asym = [1.1]*3
+    xerr = [[.3, .3, .2], [.2, .3, .3]]
+    yerr = [[.35, .5, .5], [.5, .35, .5]]
+    ax.errorbar(th_asym, r_asym, xerr=xerr, yerr=yerr, fmt="o")
+
+    # overlapping errorbar
+    th_over = [2.1]
+    r_over = [3.1]
+    ax.errorbar(th_over, r_over, xerr=10, yerr=.2, fmt="o")
 
-@image_comparison(baseline_images=['errorbar_limits'])
+
+def test_errorbar_colorcycle():
+
+    f, ax = plt.subplots()
+    x = np.arange(10)
+    y = 2*x
+
+    e1, _, _ = ax.errorbar(x, y, c=None)
+    e2, _, _ = ax.errorbar(x, 2*y, c=None)
+    ln1, = ax.plot(x, 4*y)
+
+    assert mcolors.to_rgba(e1.get_color()) == mcolors.to_rgba('C0')
+    assert mcolors.to_rgba(e2.get_color()) == mcolors.to_rgba('C1')
+    assert mcolors.to_rgba(ln1.get_color()) == mcolors.to_rgba('C2')
+
+
+@check_figures_equal()
+def test_errorbar_cycle_ecolor(fig_test, fig_ref):
+    x = np.arange(0.1, 4, 0.5)
+    y = [np.exp(-x+n) for n in range(4)]
+
+    axt = fig_test.subplots()
+    axr = fig_ref.subplots()
+
+    for yi, color in zip(y, ['C0', 'C1', 'C2', 'C3']):
+        axt.errorbar(x, yi, yerr=(yi * 0.25), linestyle='-',
+                     marker='o', ecolor='black')
+        axr.errorbar(x, yi, yerr=(yi * 0.25), linestyle='-',
+                     marker='o', color=color, ecolor='black')
+
+
+def test_errorbar_shape():
+    fig = plt.figure()
+    ax = fig.gca()
+
+    x = np.arange(0.1, 4, 0.5)
+    y = np.exp(-x)
+    yerr1 = 0.1 + 0.2*np.sqrt(x)
+    yerr = np.vstack((yerr1, 2*yerr1)).T
+    xerr = 0.1 + yerr
+
+    with pytest.raises(ValueError):
+        ax.errorbar(x, y, yerr=yerr, fmt='o')
+    with pytest.raises(ValueError):
+        ax.errorbar(x, y, xerr=xerr, fmt='o')
+    with pytest.raises(ValueError):
+        ax.errorbar(x, y, yerr=yerr, xerr=xerr, fmt='o')
+
+
+@image_comparison(['errorbar_limits.png'])
 def test_errorbar_limits():
     x = np.arange(0.5, 5.5, 0.5)
     y = np.exp(-x)
@@ -1882,168 +4417,535 @@ def test_errorbar_limits():
     yerr = 0.2
     ls = 'dotted'
 
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
 
     # standard error bars
-    plt.errorbar(x, y, xerr=xerr, yerr=yerr, ls=ls, color='blue')
+    ax.errorbar(x, y, xerr=xerr, yerr=yerr, ls=ls, color='blue')
 
     # including upper limits
-    uplims = np.zeros(x.shape)
+    uplims = np.zeros_like(x)
     uplims[[1, 5, 9]] = True
-    plt.errorbar(x, y+0.5, xerr=xerr, yerr=yerr, uplims=uplims, ls=ls,
-                 color='green')
+    ax.errorbar(x, y+0.5, xerr=xerr, yerr=yerr, uplims=uplims, ls=ls,
+                color='green')
 
     # including lower limits
-    lolims = np.zeros(x.shape)
+    lolims = np.zeros_like(x)
     lolims[[2, 4, 8]] = True
-    plt.errorbar(x, y+1.0, xerr=xerr, yerr=yerr, lolims=lolims, ls=ls,
-                 color='red')
+    ax.errorbar(x, y+1.0, xerr=xerr, yerr=yerr, lolims=lolims, ls=ls,
+                color='red')
 
     # including upper and lower limits
-    plt.errorbar(x, y+1.5, marker='o', ms=8, xerr=xerr, yerr=yerr,
-                 lolims=lolims, uplims=uplims, ls=ls, color='magenta')
+    ax.errorbar(x, y+1.5, marker='o', ms=8, xerr=xerr, yerr=yerr,
+                lolims=lolims, uplims=uplims, ls=ls, color='magenta')
 
     # including xlower and xupper limits
     xerr = 0.2
-    yerr = np.zeros(x.shape) + 0.2
+    yerr = np.full_like(x, 0.2)
     yerr[[3, 6]] = 0.3
     xlolims = lolims
     xuplims = uplims
-    lolims = np.zeros(x.shape)
-    uplims = np.zeros(x.shape)
+    lolims = np.zeros_like(x)
+    uplims = np.zeros_like(x)
     lolims[[6]] = True
     uplims[[3]] = True
-    plt.errorbar(x, y+2.1, marker='o', ms=8, xerr=xerr, yerr=yerr,
-                 xlolims=xlolims, xuplims=xuplims, uplims=uplims,
-                 lolims=lolims, ls='none', mec='blue', capsize=0,
-                 color='cyan')
+    ax.errorbar(x, y+2.1, marker='o', ms=8, xerr=xerr, yerr=yerr,
+                xlolims=xlolims, xuplims=xuplims, uplims=uplims,
+                lolims=lolims, ls='none', mec='blue', capsize=0,
+                color='cyan')
     ax.set_xlim((0, 5.5))
     ax.set_title('Errorbar upper and lower limits')
 
 
-@image_comparison(baseline_images=['hist_stacked_stepfilled'])
+def test_errorbar_nonefmt():
+    # Check that passing 'none' as a format still plots errorbars
+    x = np.arange(5)
+    y = np.arange(5)
+
+    plotline, _, barlines = plt.errorbar(x, y, xerr=1, yerr=1, fmt='none')
+    assert plotline is None
+    for errbar in barlines:
+        assert np.all(errbar.get_color() == mcolors.to_rgba('C0'))
+
+
+def test_errorbar_remove():
+    x = np.arange(5)
+    y = np.arange(5)
+
+    fig, ax = plt.subplots()
+    ec = ax.errorbar(x, y, xerr=1, yerr=1)
+
+    assert len(ax.containers) == 1
+    assert len(ax.lines) == 5
+    assert len(ax.collections) == 2
+
+    ec.remove()
+
+    assert not ax.containers
+    assert not ax.lines
+    assert not ax.collections
+
+
+def test_errorbar_line_specific_kwargs():
+    # Check that passing line-specific keyword arguments will not result in
+    # errors.
+    x = np.arange(5)
+    y = np.arange(5)
+
+    plotline, _, _ = plt.errorbar(x, y, xerr=1, yerr=1, ls='None',
+                                  marker='s', fillstyle='full',
+                                  drawstyle='steps-mid',
+                                  dash_capstyle='round',
+                                  dash_joinstyle='miter',
+                                  solid_capstyle='butt',
+                                  solid_joinstyle='bevel')
+    assert plotline.get_fillstyle() == 'full'
+    assert plotline.get_drawstyle() == 'steps-mid'
+
+
+@check_figures_equal()
+def test_errorbar_with_prop_cycle(fig_test, fig_ref):
+    ax = fig_ref.subplots()
+    ax.errorbar(x=[2, 4, 10], y=[0, 1, 2], yerr=0.5,
+                ls='--', marker='s', mfc='k')
+    ax.errorbar(x=[2, 4, 10], y=[2, 3, 4], yerr=0.5, color='tab:green',
+                ls=':', marker='s', mfc='y')
+    ax.errorbar(x=[2, 4, 10], y=[4, 5, 6], yerr=0.5, fmt='tab:blue',
+                ls='-.', marker='o', mfc='c')
+    ax.set_xlim(1, 11)
+
+    _cycle = cycler(ls=['--', ':', '-.'], marker=['s', 's', 'o'],
+                    mfc=['k', 'y', 'c'], color=['b', 'g', 'r'])
+    plt.rc("axes", prop_cycle=_cycle)
+    ax = fig_test.subplots()
+    ax.errorbar(x=[2, 4, 10], y=[0, 1, 2], yerr=0.5)
+    ax.errorbar(x=[2, 4, 10], y=[2, 3, 4], yerr=0.5, color='tab:green')
+    ax.errorbar(x=[2, 4, 10], y=[4, 5, 6], yerr=0.5, fmt='tab:blue')
+    ax.set_xlim(1, 11)
+
+
+def test_errorbar_every_invalid():
+    x = np.linspace(0, 1, 15)
+    y = x * (1-x)
+    yerr = y/6
+
+    ax = plt.figure().subplots()
+
+    with pytest.raises(ValueError, match='not a tuple of two integers'):
+        ax.errorbar(x, y, yerr, errorevery=(1, 2, 3))
+    with pytest.raises(ValueError, match='not a tuple of two integers'):
+        ax.errorbar(x, y, yerr, errorevery=(1.3, 3))
+    with pytest.raises(ValueError, match='not a valid NumPy fancy index'):
+        ax.errorbar(x, y, yerr, errorevery=[False, True])
+    with pytest.raises(ValueError, match='not a recognized value'):
+        ax.errorbar(x, y, yerr, errorevery='foobar')
+
+
+def test_xerr_yerr_not_negative():
+    ax = plt.figure().subplots()
+
+    with pytest.raises(ValueError,
+                       match="'xerr' must not contain negative values"):
+        ax.errorbar(x=[0], y=[0], xerr=[[-0.5], [1]], yerr=[[-0.5], [1]])
+    with pytest.raises(ValueError,
+                       match="'xerr' must not contain negative values"):
+        ax.errorbar(x=[0], y=[0], xerr=[[-0.5], [1]])
+    with pytest.raises(ValueError,
+                       match="'yerr' must not contain negative values"):
+        ax.errorbar(x=[0], y=[0], yerr=[[-0.5], [1]])
+    with pytest.raises(ValueError,
+                       match="'yerr' must not contain negative values"):
+        x = np.arange(5)
+        y = [datetime.datetime(2021, 9, i * 2 + 1) for i in x]
+        ax.errorbar(x=x,
+                    y=y,
+                    yerr=datetime.timedelta(days=-10))
+
+
+def test_xerr_yerr_not_none():
+    ax = plt.figure().subplots()
+
+    with pytest.raises(ValueError,
+                       match="'xerr' must not contain None"):
+        ax.errorbar(x=[0], y=[0], xerr=[[None], [1]], yerr=[[None], [1]])
+    with pytest.raises(ValueError,
+                       match="'xerr' must not contain None"):
+        ax.errorbar(x=[0], y=[0], xerr=[[None], [1]])
+    with pytest.raises(ValueError,
+                       match="'yerr' must not contain None"):
+        ax.errorbar(x=[0], y=[0], yerr=[[None], [1]])
+
+
+@check_figures_equal()
+def test_errorbar_every(fig_test, fig_ref):
+    x = np.linspace(0, 1, 15)
+    y = x * (1-x)
+    yerr = y/6
+
+    ax_ref = fig_ref.subplots()
+    ax_test = fig_test.subplots()
+
+    for color, shift in zip('rgbk', [0, 0, 2, 7]):
+        y += .02
+
+        # Check errorevery using an explicit offset and step.
+        ax_test.errorbar(x, y, yerr, errorevery=(shift, 4),
+                         capsize=4, c=color)
+
+        # Using manual errorbars
+        # n.b. errorbar draws the main plot at z=2.1 by default
+        ax_ref.plot(x, y, c=color, zorder=2.1)
+        ax_ref.errorbar(x[shift::4], y[shift::4], yerr[shift::4],
+                        capsize=4, c=color, fmt='none')
+
+    # Check that markevery is propagated to line, without affecting errorbars.
+    ax_test.errorbar(x, y + 0.1, yerr, markevery=(1, 4), capsize=4, fmt='o')
+    ax_ref.plot(x[1::4], y[1::4] + 0.1, 'o', zorder=2.1)
+    ax_ref.errorbar(x, y + 0.1, yerr, capsize=4, fmt='none')
+
+    # Check that passing a slice to markevery/errorevery works.
+    ax_test.errorbar(x, y + 0.2, yerr, errorevery=slice(2, None, 3),
+                     markevery=slice(2, None, 3),
+                     capsize=4, c='C0', fmt='o')
+    ax_ref.plot(x[2::3], y[2::3] + 0.2, 'o', c='C0', zorder=2.1)
+    ax_ref.errorbar(x[2::3], y[2::3] + 0.2, yerr[2::3],
+                    capsize=4, c='C0', fmt='none')
+
+    # Check that passing an iterable to markevery/errorevery works.
+    ax_test.errorbar(x, y + 0.2, yerr, errorevery=[False, True, False] * 5,
+                     markevery=[False, True, False] * 5,
+                     capsize=4, c='C1', fmt='o')
+    ax_ref.plot(x[1::3], y[1::3] + 0.2, 'o', c='C1', zorder=2.1)
+    ax_ref.errorbar(x[1::3], y[1::3] + 0.2, yerr[1::3],
+                    capsize=4, c='C1', fmt='none')
+
+
+@pytest.mark.parametrize('elinewidth', [[1, 2, 3],
+                                        np.array([1, 2, 3]),
+                                        1])
+def test_errorbar_linewidth_type(elinewidth):
+    plt.errorbar([1, 2, 3], [1, 2, 3], yerr=[1, 2, 3], elinewidth=elinewidth)
+
+
+def test_errorbar_linestyle_type():
+    eb = plt.errorbar([1, 2, 3], [1, 2, 3],
+                      yerr=[1, 2, 3], elinestyle='--')
+    errorlines = eb[-1][0]
+    errorlinestyle = errorlines.get_linestyle()
+    assert errorlinestyle == [(0, (6, 6))]
+
+
+@check_figures_equal()
+def test_errorbar_nan(fig_test, fig_ref):
+    ax = fig_test.add_subplot()
+    xs = range(5)
+    ys = np.array([1, 2, np.nan, np.nan, 3])
+    es = np.array([4, 5, np.nan, np.nan, 6])
+    ax.errorbar(xs, ys, yerr=es)
+    ax = fig_ref.add_subplot()
+    ax.errorbar([0, 1], [1, 2], yerr=[4, 5])
+    ax.errorbar([4], [3], yerr=[6], fmt="C0")
+
+
+@check_figures_equal()
+def test_errorbar_masked_negative(fig_test, fig_ref):
+    ax = fig_test.add_subplot()
+    xs = range(5)
+    mask = np.array([False, False, True, True, False])
+    ys = np.ma.array([1, 2, 2, 2, 3], mask=mask)
+    es = np.ma.array([4, 5, -1, -10, 6], mask=mask)
+    ax.errorbar(xs, ys, yerr=es)
+    ax = fig_ref.add_subplot()
+    ax.errorbar([0, 1], [1, 2], yerr=[4, 5])
+    ax.errorbar([4], [3], yerr=[6], fmt="C0")
+
+
+@image_comparison(['hist_stacked_stepfilled.png', 'hist_stacked_stepfilled.png'])
 def test_hist_stacked_stepfilled():
     # make some data
     d1 = np.linspace(1, 3, 20)
     d2 = np.linspace(0, 10, 50)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist((d1, d2), histtype="stepfilled", stacked=True)
 
+    # Reuse testcase from above for a labeled data test
+    data = {"x": (d1, d2)}
+    fig, ax = plt.subplots()
+    ax.hist("x", histtype="stepfilled", stacked=True, data=data)
 
-@image_comparison(baseline_images=['hist_offset'])
+
+@image_comparison(['hist_offset.png'])
 def test_hist_offset():
     # make some data
     d1 = np.linspace(0, 10, 50)
     d2 = np.linspace(1, 3, 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist(d1, bottom=5)
     ax.hist(d2, bottom=15)
 
 
-@image_comparison(baseline_images=['hist_step'], extensions=['png'], remove_text=True)
+@image_comparison(['hist_step.png'], remove_text=True)
 def test_hist_step():
     # make some data
     d1 = np.linspace(1, 3, 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist(d1, histtype="step")
     ax.set_ylim(0, 10)
     ax.set_xlim(-1, 5)
 
 
-@image_comparison(baseline_images=['hist_step_horiz'], extensions=['png'])
+@image_comparison(['hist_step_horiz.png'])
 def test_hist_step_horiz():
     # make some data
     d1 = np.linspace(0, 10, 50)
     d2 = np.linspace(1, 3, 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist((d1, d2), histtype="step", orientation="horizontal")
 
 
-@image_comparison(baseline_images=['hist_stacked_weights'])
+@image_comparison(['hist_stacked_weights.png'])
 def test_hist_stacked_weighted():
     # make some data
     d1 = np.linspace(0, 10, 50)
     d2 = np.linspace(1, 3, 20)
     w1 = np.linspace(0.01, 3.5, 50)
     w2 = np.linspace(0.05, 2., 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist((d1, d2), weights=(w1, w2), histtype="stepfilled", stacked=True)
 
 
-@cleanup
+@image_comparison(['stem.png'], style='mpl20', remove_text=True)
+def test_stem(text_placeholders):
+    x = np.linspace(0.1, 2 * np.pi, 100)
+
+    fig, ax = plt.subplots()
+    ax.stem(x, np.cos(x),
+            linefmt='C2-.', markerfmt='k+', basefmt='C1-.', label='stem')
+    ax.legend()
+
+
 def test_stem_args():
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    """Test that stem() correctly identifies x and y values."""
+    def _assert_equal(stem_container, expected):
+        x, y = map(list, stem_container.markerline.get_data())
+        assert x == expected[0]
+        assert y == expected[1]
 
-    x = list(xrange(10))
-    y = list(xrange(10))
+    fig, ax = plt.subplots()
+
+    x = [1, 3, 5]
+    y = [9, 8, 7]
 
     # Test the call signatures
-    ax.stem(y)
-    ax.stem(x, y)
-    ax.stem(x, y, 'r--')
-    ax.stem(x, y, 'r--', basefmt='b--')
+    _assert_equal(ax.stem(y), expected=([0, 1, 2], y))
+    _assert_equal(ax.stem(x, y), expected=(x, y))
+    _assert_equal(ax.stem(x, y, linefmt='r--'), expected=(x, y))
+    _assert_equal(ax.stem(x, y, 'r--'), expected=(x, y))
+    _assert_equal(ax.stem(x, y, linefmt='r--', basefmt='b--'), expected=(x, y))
+    _assert_equal(ax.stem(y, linefmt='r--'), expected=([0, 1, 2], y))
+    _assert_equal(ax.stem(y, 'r--'), expected=([0, 1, 2], y))
+
+
+def test_stem_markerfmt():
+    """Test that stem(..., markerfmt=...) produces the intended markers."""
+    def _assert_equal(stem_container, linecolor=None, markercolor=None,
+                      marker=None):
+        """
+        Check that the given StemContainer has the properties listed as
+        keyword-arguments.
+        """
+        if linecolor is not None:
+            assert mcolors.same_color(
+                stem_container.stemlines.get_color(),
+                linecolor)
+        if markercolor is not None:
+            assert mcolors.same_color(
+                stem_container.markerline.get_color(),
+                markercolor)
+        if marker is not None:
+            assert stem_container.markerline.get_marker() == marker
+        assert stem_container.markerline.get_linestyle() == 'None'
+
+    fig, ax = plt.subplots()
+
+    x = [1, 3, 5]
+    y = [9, 8, 7]
+
+    # no linefmt
+    _assert_equal(ax.stem(x, y), markercolor='C0', marker='o')
+    _assert_equal(ax.stem(x, y, markerfmt='x'), markercolor='C0', marker='x')
+    _assert_equal(ax.stem(x, y, markerfmt='rx'), markercolor='r', marker='x')
+
+    # positional linefmt
+    _assert_equal(
+        ax.stem(x, y, 'r'),  # marker color follows linefmt if not given
+        linecolor='r', markercolor='r', marker='o')
+    _assert_equal(
+        ax.stem(x, y, 'rx'),  # the marker is currently not taken from linefmt
+        linecolor='r', markercolor='r', marker='o')
+    _assert_equal(
+        ax.stem(x, y, 'r', markerfmt='x'),  # only marker type specified
+        linecolor='r', markercolor='r', marker='x')
+    _assert_equal(
+        ax.stem(x, y, 'r', markerfmt='g'),  # only marker color specified
+        linecolor='r', markercolor='g', marker='o')
+    _assert_equal(
+        ax.stem(x, y, 'r', markerfmt='gx'),  # marker type and color specified
+        linecolor='r', markercolor='g', marker='x')
+    _assert_equal(
+        ax.stem(x, y, 'r', markerfmt=' '),  # markerfmt=' ' for no marker
+        linecolor='r', markercolor='r', marker='None')
+    _assert_equal(
+        ax.stem(x, y, 'r', markerfmt=''),  # markerfmt='' for no marker
+        linecolor='r', markercolor='r', marker='None')
+
+    # with linefmt kwarg
+    _assert_equal(
+        ax.stem(x, y, linefmt='r'),
+        linecolor='r', markercolor='r', marker='o')
+    _assert_equal(
+        ax.stem(x, y, linefmt='r', markerfmt='x'),
+        linecolor='r', markercolor='r', marker='x')
+    _assert_equal(
+        ax.stem(x, y, linefmt='r', markerfmt='gx'),
+        linecolor='r', markercolor='g', marker='x')
 
 
-@cleanup
 def test_stem_dates():
     fig, ax = plt.subplots(1, 1)
-    from dateutil import parser
-    x = parser.parse("2013-9-28 11:00:00")
-    y = 100
+    xs = [dateutil.parser.parse("2013-9-28 11:00:00"),
+          dateutil.parser.parse("2013-9-28 12:00:00")]
+    ys = [100, 200]
+    ax.stem(xs, ys)
+
+
+@image_comparison(['stem_orientation.png'], style='mpl20', remove_text=True)
+def test_stem_orientation():
+    x = np.linspace(0.1, 2*np.pi, 50)
+
+    fig, ax = plt.subplots()
+    ax.stem(x, np.cos(x),
+            linefmt='C2-.', markerfmt='kx', basefmt='C1-.',
+            orientation='horizontal')
 
-    x1 = parser.parse("2013-9-28 12:00:00")
-    y1 = 200
 
-    ax.stem([x, x1], [y, y1], "*-")
+def test_stem_polar_baseline():
+    """Test that the baseline is interpolated so that it will follow the radius."""
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='polar')
+    x = np.linspace(1.57, 3.14, 10)
+    y = np.linspace(0, 1, 10)
+    bottom = 0.5
+    container = ax.stem(x, y, bottom=bottom)
+    assert container.baseline.get_path()._interpolation_steps > 100
 
 
-@image_comparison(baseline_images=['hist_stacked_stepfilled_alpha'])
+@image_comparison(['hist_stacked_stepfilled_alpha.png'])
 def test_hist_stacked_stepfilled_alpha():
     # make some data
     d1 = np.linspace(1, 3, 20)
     d2 = np.linspace(0, 10, 50)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist((d1, d2), histtype="stepfilled", stacked=True, alpha=0.5)
 
 
-@image_comparison(baseline_images=['hist_stacked_step'])
+@image_comparison(['hist_stacked_step.png'])
 def test_hist_stacked_step():
     # make some data
     d1 = np.linspace(1, 3, 20)
     d2 = np.linspace(0, 10, 50)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist((d1, d2), histtype="step", stacked=True)
 
 
-@image_comparison(baseline_images=['hist_stacked_normed'])
-def test_hist_stacked_normed():
+@image_comparison(['hist_stacked_normed.png'])
+def test_hist_stacked_density():
     # make some data
     d1 = np.linspace(1, 3, 20)
     d2 = np.linspace(0, 10, 50)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.hist((d1, d2), stacked=True, normed=True)
+    fig, ax = plt.subplots()
+    ax.hist((d1, d2), stacked=True, density=True)
 
 
-@image_comparison(baseline_images=['hist_step_bottom'], extensions=['png'], remove_text=True)
+@image_comparison(['hist_step_bottom.png'], remove_text=True)
 def test_hist_step_bottom():
     # make some data
     d1 = np.linspace(1, 3, 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist(d1, bottom=np.arange(10), histtype="stepfilled")
 
 
-@image_comparison(baseline_images=['hist_stacked_bar'])
+def test_hist_step_geometry():
+    bins = [0, 1, 2, 3]
+    data = [0, 0, 1, 1, 1, 2]
+    top = [[0, 0], [0, 2], [1, 2], [1, 3], [2, 3], [2, 1], [3, 1], [3, 0]]
+    bottom = [[2, 0], [2, 0], [1, 0], [1, 0], [0, 0]]
+
+    for histtype, xy in [('step', top), ('stepfilled', top + bottom)]:
+        _, _, (polygon, ) = plt.hist(data, bins=bins, histtype=histtype)
+        assert_array_equal(polygon.get_xy(), xy)
+
+
+def test_hist_step_bottom_geometry():
+    bins = [0, 1, 2, 3]
+    data = [0, 0, 1, 1, 1, 2]
+    top = [[0, 1], [0, 3], [1, 3], [1, 5], [2, 5], [2, 2.5], [3, 2.5], [3, 1.5]]
+    bottom = [[2, 1.5], [2, 2], [1, 2], [1, 1], [0, 1]]
+
+    for histtype, xy in [('step', top), ('stepfilled', top + bottom)]:
+        _, _, (polygon, ) = plt.hist(data, bins=bins, bottom=[1, 2, 1.5],
+                                     histtype=histtype)
+        assert_array_equal(polygon.get_xy(), xy)
+
+
+def test_hist_stacked_step_geometry():
+    bins = [0, 1, 2, 3]
+    data_1 = [0, 0, 1, 1, 1, 2]
+    data_2 = [0, 1, 2]
+    tops = [
+        [[0, 0], [0, 2], [1, 2], [1, 3], [2, 3], [2, 1], [3, 1], [3, 0]],
+        [[0, 2], [0, 3], [1, 3], [1, 4], [2, 4], [2, 2], [3, 2], [3, 1]],
+    ]
+    bottoms = [
+        [[2, 0], [2, 0], [1, 0], [1, 0], [0, 0]],
+        [[2, 1], [2, 3], [1, 3], [1, 2], [0, 2]],
+    ]
+    combined = [t + b for t, b in zip(tops, bottoms)]
+
+    for histtype, xy in [('step', tops), ('stepfilled', combined)]:
+        _, _, patches = plt.hist([data_1, data_2], bins=bins, stacked=True,
+                                 histtype=histtype)
+        assert len(patches) == 2
+        polygon, = patches[0]
+        assert_array_equal(polygon.get_xy(), xy[0])
+        polygon, = patches[1]
+        assert_array_equal(polygon.get_xy(), xy[1])
+
+
+def test_hist_stacked_step_bottom_geometry():
+    bins = [0, 1, 2, 3]
+    data_1 = [0, 0, 1, 1, 1, 2]
+    data_2 = [0, 1, 2]
+    tops = [
+        [[0, 1], [0, 3], [1, 3], [1, 5], [2, 5], [2, 2.5], [3, 2.5], [3, 1.5]],
+        [[0, 3], [0, 4], [1, 4], [1, 6], [2, 6], [2, 3.5], [3, 3.5], [3, 2.5]],
+    ]
+    bottoms = [
+        [[2, 1.5], [2, 2], [1, 2], [1, 1], [0, 1]],
+        [[2, 2.5], [2, 5], [1, 5], [1, 3], [0, 3]],
+    ]
+    combined = [t + b for t, b in zip(tops, bottoms)]
+
+    for histtype, xy in [('step', tops), ('stepfilled', combined)]:
+        _, _, patches = plt.hist([data_1, data_2], bins=bins, stacked=True,
+                                 bottom=[1, 2, 1.5], histtype=histtype)
+        assert len(patches) == 2
+        polygon, = patches[0]
+        assert_array_equal(polygon.get_xy(), xy[0])
+        polygon, = patches[1]
+        assert_array_equal(polygon.get_xy(), xy[1])
+
+
+@image_comparison(['hist_stacked_bar.png'])
 def test_hist_stacked_bar():
     # make some data
     d = [[100, 100, 100, 100, 200, 320, 450, 80, 20, 600, 310, 800],
@@ -2055,48 +4957,171 @@ def test_hist_stacked_bar():
               (0.0, 1.0, 0.6549834156005998), (0.0, 0.6569064625276622, 1.0),
               (0.28302699607823545, 0.0, 1.0), (0.6849123462299822, 0.0, 1.0)]
     labels = ['green', 'orange', ' yellow', 'magenta', 'black']
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.hist(d, bins=10, histtype='barstacked', align='mid', color=colors, label=labels)
-    ax.legend(loc='upper right', bbox_to_anchor=(1.0, 1.0), ncol=1)
+    fig, ax = plt.subplots()
+    ax.hist(d, bins=10, histtype='barstacked', align='mid', color=colors,
+            label=labels)
+    ax.legend(loc='upper right', bbox_to_anchor=(1.0, 1.0), ncols=1)
+
+
+@pytest.mark.parametrize('kwargs', ({'facecolor': ["b", "g", "r"]},
+                                    {'edgecolor': ["b", "g", "r"]},
+                                    {'hatch': ["/", "\\", "."]},
+                                    {'linestyle': ["-", "--", ":"]},
+                                    {'linewidth': [1, 1.5, 2]},
+                                    {'color': ["b", "g", "r"]}))
+@check_figures_equal()
+def test_hist_vectorized_params(fig_test, fig_ref, kwargs):
+    np.random.seed(19680801)
+    xs = [np.random.randn(n) for n in [20, 50, 100]]
+
+    (axt1, axt2) = fig_test.subplots(2)
+    (axr1, axr2) = fig_ref.subplots(2)
+
+    for histtype, axt, axr in [("stepfilled", axt1, axr1), ("step", axt2, axr2)]:
+        _, bins, _ = axt.hist(xs, bins=10, histtype=histtype, **kwargs)
+
+        kw, values = next(iter(kwargs.items()))
+        for i, (x, value) in enumerate(zip(xs, values)):
+            axr.hist(x, bins=bins, histtype=histtype, **{kw: value},
+                     zorder=(len(xs)-i)/2)
+
+
+def test_hist_sequence_type_styles():
+    facecolor = ('r', 0.5)
+    edgecolor = [0.5, 0.5, 0.5]
+    linestyle = (0, (1, 1))
+
+    arr = np.random.uniform(size=50)
+    _, _, bars = plt.hist(arr, facecolor=facecolor, edgecolor=edgecolor,
+                          linestyle=linestyle)
+    assert mcolors.same_color(bars[0].get_facecolor(), facecolor)
+    assert mcolors.same_color(bars[0].get_edgecolor(), edgecolor)
+    assert bars[0].get_linestyle() == linestyle
+
+
+def test_hist_color_none():
+    arr = np.random.uniform(size=50)
+    # No edgecolor is the default but check that it can be explicitly passed.
+    _, _, bars = plt.hist(arr, facecolor='none', edgecolor='none')
+    assert bars[0].get_facecolor(), (0, 0, 0, 0)
+    assert bars[0].get_edgecolor(), (0, 0, 0, 0)
+
+
+@pytest.mark.parametrize('kwargs, patch_face, patch_edge',
+                         # 'C0'(blue) stands for the first color of the
+                         # default color cycle as well as the patch.facecolor rcParam
+                         # When the expected edgecolor is 'k'(black),
+                         # it corresponds to the patch.edgecolor rcParam
+                         [({'histtype': 'stepfilled', 'color': 'r',
+                            'facecolor': 'y', 'edgecolor': 'g'}, 'y', 'g'),
+                          ({'histtype': 'step', 'color': 'r',
+                            'facecolor': 'y', 'edgecolor': 'g'}, ('y', 0), 'g'),
+                          ({'histtype': 'stepfilled', 'color': 'r',
+                            'edgecolor': 'g'}, 'r', 'g'),
+                          ({'histtype': 'step', 'color': 'r',
+                            'edgecolor': 'g'}, ('r', 0), 'g'),
+                          ({'histtype': 'stepfilled', 'color': 'r',
+                            'facecolor': 'y'}, 'y', 'k'),
+                          ({'histtype': 'step', 'color': 'r',
+                            'facecolor': 'y'}, ('y', 0), 'r'),
+                          ({'histtype': 'stepfilled',
+                            'facecolor': 'y', 'edgecolor': 'g'}, 'y', 'g'),
+                          ({'histtype': 'step', 'facecolor': 'y',
+                            'edgecolor': 'g'}, ('y', 0), 'g'),
+                          ({'histtype': 'stepfilled', 'color': 'r'}, 'r', 'k'),
+                          ({'histtype': 'step', 'color': 'r'}, ('r', 0), 'r'),
+                          ({'histtype': 'stepfilled', 'facecolor': 'y'}, 'y', 'k'),
+                          ({'histtype': 'step', 'facecolor': 'y'}, ('y', 0), 'C0'),
+                          ({'histtype': 'stepfilled', 'edgecolor': 'g'}, 'C0', 'g'),
+                          ({'histtype': 'step', 'edgecolor': 'g'}, ('C0', 0), 'g'),
+                          ({'histtype': 'stepfilled'}, 'C0', 'k'),
+                          ({'histtype': 'step'}, ('C0', 0), 'C0')])
+def test_hist_color_semantics(kwargs, patch_face, patch_edge):
+    _, _, patches = plt.figure().subplots().hist([1, 2, 3], **kwargs)
+    assert all(mcolors.same_color([p.get_facecolor(), p.get_edgecolor()],
+                                  [patch_face, patch_edge]) for p in patches)
+
+
+def test_hist_barstacked_bottom_unchanged():
+    b = np.array([10, 20])
+    plt.hist([[0, 1], [0, 1]], 2, histtype="barstacked", bottom=b)
+    assert b.tolist() == [10, 20]
 
 
-@cleanup
 def test_hist_emptydata():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.hist([[], range(10), range(10)], histtype="step")
 
 
-@image_comparison(baseline_images=['transparent_markers'], remove_text=True)
+def test_hist_unused_labels():
+    # When a list with one dataset and N elements is provided and N labels, ensure
+    # that the first label is used for the dataset and all other labels are ignored
+    fig, ax = plt.subplots()
+    ax.hist([[1, 2, 3]], label=["values", "unused", "also unused"])
+    _, labels = ax.get_legend_handles_labels()
+    assert labels == ["values"]
+
+
+def test_hist_labels():
+    # test singleton labels OK
+    fig, ax = plt.subplots()
+    _, _, bars = ax.hist([0, 1], label=0)
+    assert bars[0].get_label() == '0'
+    _, _, bars = ax.hist([0, 1], label=[0])
+    assert bars[0].get_label() == '0'
+    _, _, bars = ax.hist([0, 1], label=None)
+    assert bars[0].get_label() == '_nolegend_'
+    _, _, bars = ax.hist([0, 1], label='0')
+    assert bars[0].get_label() == '0'
+    _, _, bars = ax.hist([0, 1], label='00')
+    assert bars[0].get_label() == '00'
+
+
+@image_comparison(['transparent_markers'], remove_text=True)
 def test_transparent_markers():
     np.random.seed(0)
     data = np.random.random(50)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(data, 'D', mfc='none', markersize=100)
 
 
-@image_comparison(baseline_images=['mollweide_grid'], remove_text=True)
+@image_comparison(['rgba_markers'], remove_text=True)
+def test_rgba_markers():
+    fig, axs = plt.subplots(ncols=2)
+    rcolors = [(1, 0, 0, 1), (1, 0, 0, 0.5)]
+    bcolors = [(0, 0, 1, 1), (0, 0, 1, 0.5)]
+    alphas = [None, 0.2]
+    kw = dict(ms=100, mew=20)
+    for i, alpha in enumerate(alphas):
+        for j, rcolor in enumerate(rcolors):
+            for k, bcolor in enumerate(bcolors):
+                axs[i].plot(j+1, k+1, 'o', mfc=bcolor, mec=rcolor,
+                            alpha=alpha, **kw)
+                axs[i].plot(j+1, k+3, 'x', mec=rcolor, alpha=alpha, **kw)
+    for ax in axs:
+        ax.axis([-1, 4, 0, 5])
+
+
+@image_comparison(['mollweide_grid.png'], remove_text=True)
 def test_mollweide_grid():
     # test that both horizontal and vertical gridlines appear on the Mollweide
     # projection
     fig = plt.figure()
-    ax = fig.add_subplot(111, projection='mollweide')
+    ax = fig.add_subplot(projection='mollweide')
     ax.grid()
 
 
-@cleanup
 def test_mollweide_forward_inverse_closure():
     # test that the round-trip Mollweide forward->inverse transformation is an
     # approximate identity
     fig = plt.figure()
-    ax = fig.add_subplot(111, projection='mollweide')
+    ax = fig.add_subplot(projection='mollweide')
 
     # set up 1-degree grid in longitude, latitude
     lon = np.linspace(-np.pi, np.pi, 360)
-    lat = np.linspace(-np.pi / 2.0, np.pi / 2.0, 180)
+    # The poles are degenerate and thus sensitive to floating point precision errors
+    lat = np.linspace(-np.pi / 2.0, np.pi / 2.0, 180)[1:-1]
     lon, lat = np.meshgrid(lon, lat)
     ll = np.vstack((lon.flatten(), lat.flatten())).T
 
@@ -2110,12 +5135,11 @@ def test_mollweide_forward_inverse_closure():
     np.testing.assert_array_almost_equal(ll, ll2, 3)
 
 
-@cleanup
 def test_mollweide_inverse_forward_closure():
     # test that the round-trip Mollweide inverse->forward transformation is an
     # approximate identity
     fig = plt.figure()
-    ax = fig.add_subplot(111, projection='mollweide')
+    ax = fig.add_subplot(projection='mollweide')
 
     # set up grid in x, y
     x = np.linspace(0, 1, 500)
@@ -2132,13 +5156,12 @@ def test_mollweide_inverse_forward_closure():
     np.testing.assert_array_almost_equal(xy, xy2, 3)
 
 
-@image_comparison(baseline_images=['test_alpha'], remove_text=True)
+@image_comparison(['test_alpha'], remove_text=True)
 def test_alpha():
     np.random.seed(0)
     data = np.random.random(50)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
 
     # alpha=.5 markers, solid line
     ax.plot(data, '-D', color=[1, 0, 0], mfc=[1, 0, 0, .5],
@@ -2163,11 +5186,8 @@ def test_alpha():
             markersize=20, lw=10)
 
 
-@image_comparison(baseline_images=['eventplot'], remove_text=True)
+@image_comparison(['eventplot.png', 'eventplot.png'], remove_text=True)
 def test_eventplot():
-    '''
-    test that eventplot produces the correct output
-    '''
     np.random.seed(0)
 
     data1 = np.random.random([32, 20]).tolist()
@@ -2193,20 +5213,29 @@ def test_eventplot():
     linelengths = linelengths1 + linelengths2
 
     fig = plt.figure()
-    axobj = fig.add_subplot(111)
+    axobj = fig.add_subplot()
     colls = axobj.eventplot(data, colors=colors, lineoffsets=lineoffsets,
                             linelengths=linelengths)
 
     num_collections = len(colls)
-    np.testing.assert_equal(num_collections, num_datasets)
+    assert num_collections == num_datasets
+
+    # Reuse testcase from above for a labeled data test
+    data = {"pos": data, "c": colors, "lo": lineoffsets, "ll": linelengths}
+    fig = plt.figure()
+    axobj = fig.add_subplot()
+    colls = axobj.eventplot("pos", colors="c", lineoffsets="lo",
+                            linelengths="ll", data=data)
+    num_collections = len(colls)
+    assert num_collections == num_datasets
 
 
-@image_comparison(baseline_images=['test_eventplot_defaults'], extensions=['png'], remove_text=True)
+@image_comparison(['test_eventplot_defaults.png'], remove_text=True)
 def test_eventplot_defaults():
-    '''
+    """
     test that eventplot produces the correct output given the default params
     (see bug #3728)
-    '''
+    """
     np.random.seed(0)
 
     data1 = np.random.random([32, 20]).tolist()
@@ -2214,45 +5243,159 @@ def test_eventplot_defaults():
     data = data1 + data2
 
     fig = plt.figure()
-    axobj = fig.add_subplot(111)
-    colls = axobj.eventplot(data)
+    axobj = fig.add_subplot()
+    axobj.eventplot(data)
+
+
+@pytest.mark.parametrize(('colors'), [
+    ('0.5',),  # string color with multiple characters: not OK before #8193 fix
+    ('tab:orange', 'tab:pink', 'tab:cyan', 'bLacK'),  # case-insensitive
+    ('red', (0, 1, 0), None, (1, 0, 1, 0.5)),  # a tricky case mixing types
+])
+def test_eventplot_colors(colors):
+    """Test the *colors* parameter of eventplot. Inspired by issue #8193."""
+    data = [[0], [1], [2], [3]]  # 4 successive events of different nature
+
+    # Build the list of the expected colors
+    expected = [c if c is not None else 'C0' for c in colors]
+    # Convert the list into an array of RGBA values
+    # NB: ['rgbk'] is not a valid argument for to_rgba_array, while 'rgbk' is.
+    if len(expected) == 1:
+        expected = expected[0]
+    expected = np.broadcast_to(mcolors.to_rgba_array(expected), (len(data), 4))
+
+    fig, ax = plt.subplots()
+    if len(colors) == 1:  # tuple with a single string (like '0.5' or 'rgbk')
+        colors = colors[0]
+    collections = ax.eventplot(data, colors=colors)
+
+    for coll, color in zip(collections, expected):
+        assert_allclose(coll.get_color(), color)
+
+
+def test_eventplot_alpha():
+    fig, ax = plt.subplots()
+
+    # one alpha for all
+    collections = ax.eventplot([[0, 2, 4], [1, 3, 5, 7]], alpha=0.7)
+    assert collections[0].get_alpha() == 0.7
+    assert collections[1].get_alpha() == 0.7
+
+    # one alpha per collection
+    collections = ax.eventplot([[0, 2, 4], [1, 3, 5, 7]], alpha=[0.5, 0.7])
+    assert collections[0].get_alpha() == 0.5
+    assert collections[1].get_alpha() == 0.7
+
+    with pytest.raises(ValueError, match="alpha and positions are unequal"):
+        ax.eventplot([[0, 2, 4], [1, 3, 5, 7]], alpha=[0.5, 0.7, 0.9])
+
+    with pytest.raises(ValueError, match="alpha and positions are unequal"):
+        ax.eventplot([0, 2, 4], alpha=[0.5, 0.7])
+
+
+@image_comparison(['test_eventplot_problem_kwargs.png'], remove_text=True)
+def test_eventplot_problem_kwargs(recwarn):
+    """
+    test that 'singular' versions of LineCollection props raise an
+    MatplotlibDeprecationWarning rather than overriding the 'plural' versions
+    (e.g., to prevent 'color' from overriding 'colors', see issue #4297)
+    """
+    np.random.seed(0)
+
+    data1 = np.random.random([20]).tolist()
+    data2 = np.random.random([10]).tolist()
+    data = [data1, data2]
+
+    fig = plt.figure()
+    axobj = fig.add_subplot()
+
+    axobj.eventplot(data,
+                    colors=['r', 'b'],
+                    color=['c', 'm'],
+                    linewidths=[2, 1],
+                    linewidth=[1, 2],
+                    linestyles=['solid', 'dashed'],
+                    linestyle=['dashdot', 'dotted'])
+
+    assert len(recwarn) == 3
+    assert all(issubclass(wi.category, mpl.MatplotlibDeprecationWarning)
+               for wi in recwarn)
 
 
-@cleanup
 def test_empty_eventplot():
     fig, ax = plt.subplots(1, 1)
     ax.eventplot([[]], colors=[(0.0, 0.0, 0.0, 0.0)])
     plt.draw()
 
 
-@image_comparison(baseline_images=['marker_styles'], extensions=['png'], remove_text=True)
+@pytest.mark.parametrize('data', [[[]], [[], [0, 1]], [[0, 1], []]])
+@pytest.mark.parametrize('orientation', [None, 'vertical', 'horizontal'])
+def test_eventplot_orientation(data, orientation):
+    """Introduced when fixing issue #6412."""
+    opts = {} if orientation is None else {'orientation': orientation}
+    fig, ax = plt.subplots(1, 1)
+    ax.eventplot(data, **opts)
+    plt.draw()
+
+
+@check_figures_equal()
+def test_eventplot_units_list(fig_test, fig_ref):
+    # test that list of lists converted properly:
+    ts_1 = [datetime.datetime(2021, 1, 1), datetime.datetime(2021, 1, 2),
+            datetime.datetime(2021, 1, 3)]
+    ts_2 = [datetime.datetime(2021, 1, 15), datetime.datetime(2021, 1, 16)]
+
+    ax = fig_ref.subplots()
+    ax.eventplot(ts_1, lineoffsets=0)
+    ax.eventplot(ts_2, lineoffsets=1)
+
+    ax = fig_test.subplots()
+    ax.eventplot([ts_1, ts_2])
+
+
+@image_comparison(['marker_styles.png'], remove_text=True)
 def test_marker_styles():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    for y, marker in enumerate(sorted(matplotlib.markers.MarkerStyle.markers.keys(),
-                                      key=lambda x: str(type(x))+str(x))):
-        ax.plot((y % 2)*5 + np.arange(10)*10, np.ones(10)*10*y, linestyle='', marker=marker,
-                markersize=10+y/5, label=marker)
+    fig, ax = plt.subplots()
+    # Since generation of the test image, None was removed but 'none' was
+    # added. By moving 'none' to the front (=former sorted place of None)
+    # we can avoid regenerating the test image. This can be removed if the
+    # test image has to be regenerated for other reasons.
+    markers = sorted(matplotlib.markers.MarkerStyle.markers,
+                     key=lambda x: str(type(x))+str(x))
+    markers.remove('none')
+    markers = ['none', *markers]
+    for y, marker in enumerate(markers):
+        ax.plot((y % 2)*5 + np.arange(10)*10, np.ones(10)*10*y, linestyle='',
+                marker=marker, markersize=10+y/5, label=marker)
+
+
+@image_comparison(['rc_markerfill.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.037)
+def test_markers_fillstyle_rcparams():
+    fig, ax = plt.subplots()
+    x = np.arange(7)
+    for idx, (style, marker) in enumerate(
+            [('top', 's'), ('bottom', 'o'), ('none', '^')]):
+        matplotlib.rcParams['markers.fillstyle'] = style
+        ax.plot(x+idx, marker=marker)
 
 
-@image_comparison(baseline_images=['vertex_markers'], extensions=['png'],
-                  remove_text=True)
+@image_comparison(['vertex_markers.png'], remove_text=True)
 def test_vertex_markers():
-    data = list(xrange(10))
+    data = list(range(10))
     marker_as_tuple = ((-1, -1), (1, -1), (1, 1), (-1, 1))
     marker_as_list = [(-1, -1), (1, -1), (1, 1), (-1, 1)]
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(data, linestyle='', marker=marker_as_tuple, mfc='k')
     ax.plot(data[::-1], linestyle='', marker=marker_as_list, mfc='b')
     ax.set_xlim([-1, 10])
     ax.set_ylim([-1, 10])
 
 
-@image_comparison(baseline_images=['vline_hline_zorder',
-                                   'errorbar_zorder'])
+@image_comparison(['vline_hline_zorder.png', 'errorbar_zorder.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.026)
 def test_eb_line_zorder():
-    x = list(xrange(10))
+    x = list(range(10))
 
     # First illustrate basic pyplot interface, using defaults where possible.
     fig = plt.figure()
@@ -2268,9 +5411,9 @@ def test_eb_line_zorder():
     # Now switch to a more OO interface to exercise more features.
     fig = plt.figure()
     ax = fig.gca()
-    x = list(xrange(10))
+    x = list(range(10))
     y = np.zeros(10)
-    yerr = list(xrange(10))
+    yerr = list(range(10))
     ax.errorbar(x, y, yerr=yerr, zorder=5, lw=5, color='r')
     for j in range(10):
         ax.axhline(j, lw=5, color='k', zorder=j)
@@ -2279,8 +5422,230 @@ def test_eb_line_zorder():
     ax.set_title("errorbar zorder test")
 
 
-@image_comparison(baseline_images=['step_linestyle'], remove_text=True)
+@check_figures_equal()
+def test_axline_loglog(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    ax.set(xlim=(0.1, 10), ylim=(1e-3, 1))
+    ax.loglog([.3, .6], [.3, .6], ".-")
+    ax.axline((1, 1e-3), (10, 1e-2), c="k")
+
+    ax = fig_ref.subplots()
+    ax.set(xlim=(0.1, 10), ylim=(1e-3, 1))
+    ax.loglog([.3, .6], [.3, .6], ".-")
+    ax.loglog([1, 10], [1e-3, 1e-2], c="k")
+
+
+@check_figures_equal()
+def test_axline(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    ax.set(xlim=(-1, 1), ylim=(-1, 1))
+    ax.axline((0, 0), (1, 1))
+    ax.axline((0, 0), (1, 0), color='C1')
+    ax.axline((0, 0.5), (1, 0.5), color='C2')
+    # slopes
+    ax.axline((-0.7, -0.5), slope=0, color='C3')
+    ax.axline((1, -0.5), slope=-0.5, color='C4')
+    ax.axline((-0.5, 1), slope=float('inf'), color='C5')
+
+    ax = fig_ref.subplots()
+    ax.set(xlim=(-1, 1), ylim=(-1, 1))
+    ax.plot([-1, 1], [-1, 1])
+    ax.axhline(0, color='C1')
+    ax.axhline(0.5, color='C2')
+    # slopes
+    ax.axhline(-0.5, color='C3')
+    ax.plot([-1, 1], [0.5, -0.5], color='C4')
+    ax.axvline(-0.5, color='C5')
+
+
+@check_figures_equal()
+def test_axline_transaxes(fig_test, fig_ref):
+    ax = fig_test.subplots()
+    ax.set(xlim=(-1, 1), ylim=(-1, 1))
+    ax.axline((0, 0), slope=1, transform=ax.transAxes)
+    ax.axline((1, 0.5), slope=1, color='C1', transform=ax.transAxes)
+    ax.axline((0.5, 0.5), slope=0, color='C2', transform=ax.transAxes)
+    ax.axline((0.5, 0), (0.5, 1), color='C3', transform=ax.transAxes)
+
+    ax = fig_ref.subplots()
+    ax.set(xlim=(-1, 1), ylim=(-1, 1))
+    ax.plot([-1, 1], [-1, 1])
+    ax.plot([0, 1], [-1, 0], color='C1')
+    ax.plot([-1, 1], [0, 0], color='C2')
+    ax.plot([0, 0], [-1, 1], color='C3')
+
+
+@check_figures_equal()
+def test_axline_transaxes_panzoom(fig_test, fig_ref):
+    # test that it is robust against pan/zoom and
+    # figure resize after plotting
+    ax = fig_test.subplots()
+    ax.set(xlim=(-1, 1), ylim=(-1, 1))
+    ax.axline((0, 0), slope=1, transform=ax.transAxes)
+    ax.axline((0.5, 0.5), slope=2, color='C1', transform=ax.transAxes)
+    ax.axline((0.5, 0.5), slope=0, color='C2', transform=ax.transAxes)
+    ax.set(xlim=(0, 5), ylim=(0, 10))
+    fig_test.set_size_inches(3, 3)
+
+    ax = fig_ref.subplots()
+    ax.set(xlim=(0, 5), ylim=(0, 10))
+    fig_ref.set_size_inches(3, 3)
+    ax.plot([0, 5], [0, 5])
+    ax.plot([0, 5], [0, 10], color='C1')
+    ax.plot([0, 5], [5, 5], color='C2')
+
+
+def test_axline_args():
+    """Exactly one of *xy2* and *slope* must be specified."""
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError):
+        ax.axline((0, 0))  # missing second parameter
+    with pytest.raises(TypeError):
+        ax.axline((0, 0), (1, 1), slope=1)  # redundant parameters
+    ax.set_xscale('log')
+    with pytest.raises(TypeError):
+        ax.axline((0, 0), slope=1)
+    ax.set_xscale('linear')
+    ax.set_yscale('log')
+    with pytest.raises(TypeError):
+        ax.axline((0, 0), slope=1)
+    ax.set_yscale('linear')
+    with pytest.raises(ValueError):
+        ax.axline((0, 0), (0, 0))  # two identical points are not allowed
+        plt.draw()
+
+
+@image_comparison(['vlines_basic', 'vlines_with_nan', 'vlines_masked'],
+                  extensions=['png'])
+def test_vlines():
+    # normal
+    x1 = [2, 3, 4, 5, 7]
+    y1 = [2, -6, 3, 8, 2]
+    fig1, ax1 = plt.subplots()
+    ax1.vlines(x1, 0, y1, colors='g', linewidth=5)
+
+    # GH #7406
+    x2 = [2, 3, 4, 5, 6, 7]
+    y2 = [2, -6, 3, 8, np.nan, 2]
+    fig2, (ax2, ax3, ax4) = plt.subplots(nrows=3, figsize=(4, 8))
+    ax2.vlines(x2, 0, y2, colors='g', linewidth=5)
+
+    x3 = [2, 3, 4, 5, 6, 7]
+    y3 = [np.nan, 2, -6, 3, 8, 2]
+    ax3.vlines(x3, 0, y3, colors='r', linewidth=3, linestyle='--')
+
+    x4 = [2, 3, 4, 5, 6, 7]
+    y4 = [np.nan, 2, -6, 3, 8, np.nan]
+    ax4.vlines(x4, 0, y4, colors='k', linewidth=2)
+
+    # tweak the x-axis so we can see the lines better
+    for ax in [ax1, ax2, ax3, ax4]:
+        ax.set_xlim(0, 10)
+
+    # check that the y-lims are all automatically the same
+    assert ax1.get_ylim() == ax2.get_ylim()
+    assert ax1.get_ylim() == ax3.get_ylim()
+    assert ax1.get_ylim() == ax4.get_ylim()
+
+    fig3, ax5 = plt.subplots()
+    x5 = np.ma.masked_equal([2, 4, 6, 8, 10, 12], 8)
+    ymin5 = np.ma.masked_equal([0, 1, -1, 0, 2, 1], 2)
+    ymax5 = np.ma.masked_equal([13, 14, 15, 16, 17, 18], 18)
+    ax5.vlines(x5, ymin5, ymax5, colors='k', linewidth=2)
+    ax5.set_xlim(0, 15)
+
+
+def test_vlines_default():
+    fig, ax = plt.subplots()
+    with mpl.rc_context({'lines.color': 'red'}):
+        lines = ax.vlines(0.5, 0, 1)
+        assert mpl.colors.same_color(lines.get_color(), 'red')
+
+
+@image_comparison(['hlines_basic', 'hlines_with_nan', 'hlines_masked'],
+                  extensions=['png'])
+def test_hlines():
+    # normal
+    y1 = [2, 3, 4, 5, 7]
+    x1 = [2, -6, 3, 8, 2]
+    fig1, ax1 = plt.subplots()
+    ax1.hlines(y1, 0, x1, colors='g', linewidth=5)
+
+    # GH #7406
+    y2 = [2, 3, 4, 5, 6, 7]
+    x2 = [2, -6, 3, 8, np.nan, 2]
+    fig2, (ax2, ax3, ax4) = plt.subplots(nrows=3, figsize=(4, 8))
+    ax2.hlines(y2, 0, x2, colors='g', linewidth=5)
+
+    y3 = [2, 3, 4, 5, 6, 7]
+    x3 = [np.nan, 2, -6, 3, 8, 2]
+    ax3.hlines(y3, 0, x3, colors='r', linewidth=3, linestyle='--')
+
+    y4 = [2, 3, 4, 5, 6, 7]
+    x4 = [np.nan, 2, -6, 3, 8, np.nan]
+    ax4.hlines(y4, 0, x4, colors='k', linewidth=2)
+
+    # tweak the y-axis so we can see the lines better
+    for ax in [ax1, ax2, ax3, ax4]:
+        ax.set_ylim(0, 10)
+
+    # check that the x-lims are all automatically the same
+    assert ax1.get_xlim() == ax2.get_xlim()
+    assert ax1.get_xlim() == ax3.get_xlim()
+    assert ax1.get_xlim() == ax4.get_xlim()
+
+    fig3, ax5 = plt.subplots()
+    y5 = np.ma.masked_equal([2, 4, 6, 8, 10, 12], 8)
+    xmin5 = np.ma.masked_equal([0, 1, -1, 0, 2, 1], 2)
+    xmax5 = np.ma.masked_equal([13, 14, 15, 16, 17, 18], 18)
+    ax5.hlines(y5, xmin5, xmax5, colors='k', linewidth=2)
+    ax5.set_ylim(0, 15)
+
+
+def test_hlines_default():
+    fig, ax = plt.subplots()
+    with mpl.rc_context({'lines.color': 'red'}):
+        lines = ax.hlines(0.5, 0, 1)
+        assert mpl.colors.same_color(lines.get_color(), 'red')
+
+
+@pytest.mark.parametrize('data', [[1, 2, 3, np.nan, 5],
+                                  np.ma.masked_equal([1, 2, 3, 4, 5], 4)])
+@check_figures_equal()
+def test_lines_with_colors(fig_test, fig_ref, data):
+    test_colors = ['red', 'green', 'blue', 'purple', 'orange']
+    fig_test.add_subplot(2, 1, 1).vlines(data, 0, 1,
+                                         colors=test_colors, linewidth=5)
+    fig_test.add_subplot(2, 1, 2).hlines(data, 0, 1,
+                                         colors=test_colors, linewidth=5)
+
+    expect_xy = [1, 2, 3, 5]
+    expect_color = ['red', 'green', 'blue', 'orange']
+    fig_ref.add_subplot(2, 1, 1).vlines(expect_xy, 0, 1,
+                                        colors=expect_color, linewidth=5)
+    fig_ref.add_subplot(2, 1, 2).hlines(expect_xy, 0, 1,
+                                        colors=expect_color, linewidth=5)
+
+
+@image_comparison(['vlines_hlines_blended_transform'],
+                  extensions=['png'], style='mpl20')
+def test_vlines_hlines_blended_transform():
+    t = np.arange(5.0, 10.0, 0.1)
+    s = np.exp(-t) + np.sin(2 * np.pi * t) + 10
+    fig, (hax, vax) = plt.subplots(2, 1, figsize=(6, 6))
+    hax.plot(t, s, '^')
+    hax.hlines([10, 9], xmin=0, xmax=0.5,
+               transform=hax.get_yaxis_transform(), colors='r')
+    vax.plot(t, s, '^')
+    vax.vlines([6, 7], ymin=0, ymax=0.15, transform=vax.get_xaxis_transform(),
+               colors='r')
+
+
+@image_comparison(['step_linestyle', 'step_linestyle'], remove_text=True,
+                  tol=0.2)
 def test_step_linestyle():
+    # Tolerance caused by reordering of floating-point operations
+    # Remove when regenerating the images
     x = y = np.arange(10)
 
     # First illustrate basic pyplot interface, using defaults where possible.
@@ -2296,27 +5661,33 @@ def test_step_linestyle():
         ax.set_xlim([-1, 5])
         ax.set_ylim([-1, 7])
 
+    # Reuse testcase from above for a labeled data test
+    data = {"X": x, "Y0": y, "Y1": y+1, "Y2": y+2}
+    fig, ax_lst = plt.subplots(2, 2)
+    ax_lst = ax_lst.flatten()
+    ln_styles = ['-', '--', '-.', ':']
+    for ax, ls in zip(ax_lst, ln_styles):
+        ax.step("X", "Y0", lw=5, linestyle=ls, where='pre', data=data)
+        ax.step("X", "Y1", lw=5, linestyle=ls, where='mid', data=data)
+        ax.step("X", "Y2", lw=5, linestyle=ls, where='post', data=data)
+        ax.set_xlim([-1, 5])
+        ax.set_ylim([-1, 7])
 
-@image_comparison(baseline_images=['mixed_collection'], remove_text=True)
-def test_mixed_collection():
-    from matplotlib import patches
-    from matplotlib import collections
-
-    x = list(xrange(10))
 
+@image_comparison(['mixed_collection'], remove_text=True)
+def test_mixed_collection():
     # First illustrate basic pyplot interface, using defaults where possible.
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
 
-    c = patches.Circle((8, 8), radius=4, facecolor='none', edgecolor='green')
+    c = mpatches.Circle((8, 8), radius=4, facecolor='none', edgecolor='green')
 
     # PDF can optimize this one
-    p1 = collections.PatchCollection([c], match_original=True)
+    p1 = mpl.collections.PatchCollection([c], match_original=True)
     p1.set_offsets([[0, 0], [24, 24]])
     p1.set_linewidths([1, 5])
 
     # PDF can't optimize this one, because the alpha of the edge changes
-    p2 = collections.PatchCollection([c], match_original=True)
+    p2 = mpl.collections.PatchCollection([c], match_original=True)
     p2.set_offsets([[48, 0], [-32, -16]])
     p2.set_linewidths([1, 5])
     p2.set_edgecolors([[0, 0, 0.1, 1.0], [0, 0, 0.1, 0.5]])
@@ -2329,983 +5700,563 @@ def test_mixed_collection():
     ax.set_ylim(0, 16)
 
 
-@cleanup
 def test_subplot_key_hash():
-    ax = plt.subplot(np.float64(5.5), np.int64(1), np.float64(1.2))
+    ax = plt.subplot(np.int32(5), np.int64(1), 1)
     ax.twinx()
-    assert_equal((5, 1, 0, None), ax.get_subplotspec().get_geometry())
+    assert ax.get_subplotspec().get_geometry() == (5, 1, 0, 0)
 
 
-@image_comparison(baseline_images=['specgram_freqs',
-                                   'specgram_freqs_linear'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_freqs():
-    '''test axes.specgram in default (psd) mode with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
+@image_comparison(
+    ["specgram_freqs.png", "specgram_freqs_linear.png",
+     "specgram_noise.png", "specgram_noise_linear.png"],
+    remove_text=True, tol=0.07, style="default")
+def test_specgram():
+    """Test axes.specgram in default (psd) mode."""
 
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
+    # use former defaults to match existing baseline image
+    matplotlib.rcParams['image.interpolation'] = 'nearest'
 
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+    n = 1000
+    Fs = 10.
 
+    fstims = [[Fs/4, Fs/5, Fs/11], [Fs/4.7, Fs/5.6, Fs/11.9]]
+    NFFT_freqs = int(10 * Fs / np.min(fstims))
     x = np.arange(0, n, 1/Fs)
+    y_freqs = np.concatenate(
+        np.sin(2 * np.pi * np.multiply.outer(fstims, x)).sum(axis=1))
 
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for fstim1, fstim2 in zip(fstims1, fstims2):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided')
-
-    spec21 = ax21.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec22 = ax22.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec23 = ax23.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-
-
-@image_comparison(baseline_images=['specgram_noise',
-                                   'specgram_noise_linear'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_noise():
-    '''test axes.specgram in default (psd) mode with noise stimuli'''
+    NFFT_noise = int(10 * Fs / 11)
     np.random.seed(0)
-
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided')
-
-    spec21 = ax21.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec22 = ax22.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec23 = ax23.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-
-
-@image_comparison(baseline_images=['specgram_magnitude_freqs',
-                                   'specgram_magnitude_freqs_linear'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_magnitude_freqs():
-    '''test axes.specgram in magnitude mode with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
-
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
-
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
+    y_noise = np.concatenate([np.random.standard_normal(n), np.random.rand(n)])
+
+    all_sides = ["default", "onesided", "twosided"]
+    for y, NFFT in [(y_freqs, NFFT_freqs), (y_noise, NFFT_noise)]:
+        noverlap = NFFT // 2
+        pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                        pad_to=pad_to, sides=sides)
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                        pad_to=pad_to, sides=sides,
+                        scale="linear", norm=matplotlib.colors.LogNorm())
+
+
+@image_comparison(
+    ["specgram_magnitude_freqs.png", "specgram_magnitude_freqs_linear.png",
+     "specgram_magnitude_noise.png", "specgram_magnitude_noise_linear.png"],
+    remove_text=True, tol=0.07, style="default")
+def test_specgram_magnitude():
+    """Test axes.specgram in magnitude mode."""
+
+    # use former defaults to match existing baseline image
+    matplotlib.rcParams['image.interpolation'] = 'nearest'
+
+    n = 1000
+    Fs = 10.
+
+    fstims = [[Fs/4, Fs/5, Fs/11], [Fs/4.7, Fs/5.6, Fs/11.9]]
+    NFFT_freqs = int(100 * Fs / np.min(fstims))
     x = np.arange(0, n, 1/Fs)
+    y = np.sin(2 * np.pi * np.multiply.outer(fstims, x)).sum(axis=1)
+    y[:, -1] = 1
+    y_freqs = np.hstack(y)
 
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for i, (fstim1, fstim2) in enumerate(zip(fstims1, fstims2)):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
-        y1[-1] = y1[-1]/y1[-1]
-        y2[-1] = y2[-1]/y2[-1]
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='magnitude')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='magnitude')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='magnitude')
-
-    spec21 = ax21.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec22 = ax22.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec23 = ax23.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-
-
-@image_comparison(baseline_images=['specgram_magnitude_noise',
-                                   'specgram_magnitude_noise_linear'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_magnitude_noise():
-    '''test axes.specgram in magnitude mode with noise stimuli'''
+    NFFT_noise = int(10 * Fs / 11)
     np.random.seed(0)
+    y_noise = np.concatenate([np.random.standard_normal(n), np.random.rand(n)])
+
+    all_sides = ["default", "onesided", "twosided"]
+    for y, NFFT in [(y_freqs, NFFT_freqs), (y_noise, NFFT_noise)]:
+        noverlap = NFFT // 2
+        pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                        pad_to=pad_to, sides=sides, mode="magnitude")
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                        pad_to=pad_to, sides=sides, mode="magnitude",
+                        scale="linear", norm=matplotlib.colors.LogNorm())
+
+
+@image_comparison(
+    ["specgram_angle_freqs.png", "specgram_phase_freqs.png",
+     "specgram_angle_noise.png", "specgram_phase_noise.png"],
+    remove_text=True, tol=0.07, style="default")
+def test_specgram_angle():
+    """Test axes.specgram in angle and phase modes."""
+
+    # use former defaults to match existing baseline image
+    matplotlib.rcParams['image.interpolation'] = 'nearest'
+
+    n = 1000
+    Fs = 10.
+
+    fstims = [[Fs/4, Fs/5, Fs/11], [Fs/4.7, Fs/5.6, Fs/11.9]]
+    NFFT_freqs = int(10 * Fs / np.min(fstims))
+    x = np.arange(0, n, 1/Fs)
+    y = np.sin(2 * np.pi * np.multiply.outer(fstims, x)).sum(axis=1)
+    y[:, -1] = 1
+    y_freqs = np.hstack(y)
 
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='magnitude')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='magnitude')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='magnitude')
-
-    spec21 = ax21.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec22 = ax22.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-    spec23 = ax23.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='magnitude',
-                           scale='linear', norm=matplotlib.colors.LogNorm())
-
-
-@image_comparison(baseline_images=['specgram_angle_freqs'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_angle_freqs():
-    '''test axes.specgram in angle mode with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
+    NFFT_noise = int(10 * Fs / 11)
+    np.random.seed(0)
+    y_noise = np.concatenate([np.random.standard_normal(n), np.random.rand(n)])
 
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
+    all_sides = ["default", "onesided", "twosided"]
+    for y, NFFT in [(y_freqs, NFFT_freqs), (y_noise, NFFT_noise)]:
+        noverlap = NFFT // 2
+        pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+        for mode in ["angle", "phase"]:
+            for ax, sides in zip(plt.figure().subplots(3), all_sides):
+                ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                            pad_to=pad_to, sides=sides, mode=mode)
+                with pytest.raises(ValueError):
+                    ax.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
+                                pad_to=pad_to, sides=sides, mode=mode,
+                                scale="dB")
 
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
 
-    x = np.arange(0, n, 1/Fs)
+def test_specgram_fs_none():
+    """Test axes.specgram when Fs is None, should not throw error."""
+    spec, freqs, t, im = plt.specgram(np.ones(300), Fs=None, scale='linear')
+    xmin, xmax, freq0, freq1 = im.get_extent()
+    assert xmin == 32 and xmax == 96
 
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for i, (fstim1, fstim2) in enumerate(zip(fstims1, fstims2)):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
-        y1[-1] = y1[-1]/y1[-1]
-        y2[-1] = y2[-1]/y2[-1]
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax11.hold(True)
-    ax12.hold(True)
-    ax13.hold(True)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='angle')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='angle')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='angle')
-
-    assert_raises(ValueError, ax11.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='default',
-                  mode='phase', scale='dB')
-
-    assert_raises(ValueError, ax12.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='onesided',
-                  mode='phase', scale='dB')
-
-    assert_raises(ValueError, ax13.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='twosided',
-                  mode='phase', scale='dB')
-
-
-@image_comparison(baseline_images=['specgram_angle_noise'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_noise_angle():
-    '''test axes.specgram in angle mode with noise stimuli'''
-    np.random.seed(0)
 
-    n = 10000
-    Fs = 100.
+@check_figures_equal()
+def test_specgram_origin_rcparam(fig_test, fig_ref):
+    """Test specgram ignores image.origin rcParam and uses origin 'upper'."""
+    t = np.arange(500)
+    signal = np.sin(t)
 
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+    plt.rcParams["image.origin"] = 'upper'
 
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2])
+    # Reference: First graph using default origin in imshow (upper),
+    fig_ref.subplots().specgram(signal)
 
-    fig1 = plt.figure()
+    # Try to overwrite the setting trying to flip the specgram
+    plt.rcParams["image.origin"] = 'lower'
 
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
+    # Test: origin='lower' should be ignored
+    fig_test.subplots().specgram(signal)
 
-    ax11.hold(True)
-    ax12.hold(True)
-    ax13.hold(True)
 
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='angle')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='angle')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='angle')
+def test_specgram_origin_kwarg():
+    """Ensure passing origin as a kwarg raises a TypeError."""
+    t = np.arange(500)
+    signal = np.sin(t)
 
-    assert_raises(ValueError, ax11.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='default',
-                  mode='phase', scale='dB')
+    with pytest.raises(TypeError):
+        plt.specgram(signal, origin='lower')
 
-    assert_raises(ValueError, ax12.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='onesided',
-                  mode='phase', scale='dB')
 
-    assert_raises(ValueError, ax13.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='twosided',
-                  mode='phase', scale='dB')
+@image_comparison(
+    ["psd_freqs.png", "csd_freqs.png", "psd_noise.png", "csd_noise.png"],
+    remove_text=True, tol=0.002)
+def test_psd_csd():
+    n = 10000
+    Fs = 100.
 
+    fstims = [[Fs/4, Fs/5, Fs/11], [Fs/4.7, Fs/5.6, Fs/11.9]]
+    NFFT_freqs = int(1000 * Fs / np.min(fstims))
+    x = np.arange(0, n, 1/Fs)
+    ys_freqs = np.sin(2 * np.pi * np.multiply.outer(fstims, x)).sum(axis=1)
 
-@image_comparison(baseline_images=['specgram_phase_freqs'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_freqs_phase():
-    '''test axes.specgram in phase mode with sinusoidal stimuli'''
+    NFFT_noise = int(1000 * Fs / 11)
+    np.random.seed(0)
+    ys_noise = [np.random.standard_normal(n), np.random.rand(n)]
+
+    all_kwargs = [{"sides": "default"},
+                  {"sides": "onesided", "return_line": False},
+                  {"sides": "twosided", "return_line": True}]
+    for ys, NFFT in [(ys_freqs, NFFT_freqs), (ys_noise, NFFT_noise)]:
+        noverlap = NFFT // 2
+        pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+        for ax, kwargs in zip(plt.figure().subplots(3), all_kwargs):
+            ret = ax.psd(np.concatenate(ys), NFFT=NFFT, Fs=Fs,
+                         noverlap=noverlap, pad_to=pad_to, **kwargs)
+            assert len(ret) == 2 + kwargs.get("return_line", False)
+            ax.set(xlabel="", ylabel="")
+        for ax, kwargs in zip(plt.figure().subplots(3), all_kwargs):
+            ret = ax.csd(*ys, NFFT=NFFT, Fs=Fs,
+                         noverlap=noverlap, pad_to=pad_to, **kwargs)
+            assert len(ret) == 2 + kwargs.get("return_line", False)
+            ax.set(xlabel="", ylabel="")
+
+
+@image_comparison(
+    ["magnitude_spectrum_freqs_linear.png",
+     "magnitude_spectrum_freqs_dB.png",
+     "angle_spectrum_freqs.png",
+     "phase_spectrum_freqs.png",
+     "magnitude_spectrum_noise_linear.png",
+     "magnitude_spectrum_noise_dB.png",
+     "angle_spectrum_noise.png",
+     "phase_spectrum_noise.png"],
+    remove_text=True)
+def test_spectrum():
     n = 10000
     Fs = 100.
 
     fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
-
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
+    NFFT = int(1000 * Fs / min(fstims1))
     pad_to = int(2 ** np.ceil(np.log2(NFFT)))
 
     x = np.arange(0, n, 1/Fs)
-
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for i, (fstim1, fstim2) in enumerate(zip(fstims1, fstims2)):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
-        y1[-1] = y1[-1]/y1[-1]
-        y2[-1] = y2[-1]/y2[-1]
-    y = np.hstack([y1, y2])
-
-    fig1 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax11.hold(True)
-    ax12.hold(True)
-    ax13.hold(True)
-
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default', mode='phase')
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided', mode='phase')
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided', mode='phase')
-
-    assert_raises(ValueError, ax11.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='default',
-                  mode='phase', scale='dB')
-
-    assert_raises(ValueError, ax12.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='onesided',
-                  mode='phase', scale='dB')
-
-    assert_raises(ValueError, ax13.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='twosided',
-                  mode='phase', scale='dB')
-
-
-@image_comparison(baseline_images=['specgram_phase_noise'],
-                  remove_text=True, extensions=['png'])
-def test_specgram_noise_phase():
-    '''test axes.specgram in phase mode with noise stimuli'''
+    y_freqs = ((np.sin(2 * np.pi * np.outer(x, fstims1)) * 10**np.arange(3))
+               .sum(axis=1))
     np.random.seed(0)
+    y_noise = np.hstack([np.random.standard_normal(n), np.random.rand(n)]) - .5
+
+    all_sides = ["default", "onesided", "twosided"]
+    kwargs = {"Fs": Fs, "pad_to": pad_to}
+    for y in [y_freqs, y_noise]:
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            spec, freqs, line = ax.magnitude_spectrum(y, sides=sides, **kwargs)
+            ax.set(xlabel="", ylabel="")
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            spec, freqs, line = ax.magnitude_spectrum(y, sides=sides, **kwargs,
+                                                      scale="dB")
+            ax.set(xlabel="", ylabel="")
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            spec, freqs, line = ax.angle_spectrum(y, sides=sides, **kwargs)
+            ax.set(xlabel="", ylabel="")
+        for ax, sides in zip(plt.figure().subplots(3), all_sides):
+            spec, freqs, line = ax.phase_spectrum(y, sides=sides, **kwargs)
+            ax.set(xlabel="", ylabel="")
+
+
+def test_psd_csd_edge_cases():
+    # Inverted yaxis or fully zero inputs used to throw exceptions.
+    axs = plt.figure().subplots(2)
+    for ax in axs:
+        ax.yaxis.set(inverted=True)
+    with np.errstate(divide="ignore"):
+        axs[0].psd(np.zeros(5))
+        axs[1].csd(np.zeros(5), np.zeros(5))
+
+
+@check_figures_equal()
+def test_twin_remove(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_twinx = ax_test.twinx()
+    ax_twiny = ax_test.twiny()
+    ax_twinx.remove()
+    ax_twiny.remove()
+
+    ax_ref = fig_ref.add_subplot()
+    # Ideally we also undo tick changes when calling ``remove()``, but for now
+    # manually set the ticks of the reference image to match the test image
+    ax_ref.xaxis.tick_bottom()
+    ax_ref.yaxis.tick_left()
+
+
+@image_comparison(['twin_spines.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.022)
+def test_twin_spines():
 
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+    def make_patch_spines_invisible(ax):
+        ax.set_frame_on(True)
+        ax.patch.set_visible(False)
+        ax.spines[:].set_visible(False)
 
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2])
+    fig = plt.figure(figsize=(4, 3))
+    fig.subplots_adjust(right=0.75)
 
-    fig1 = plt.figure()
+    host = fig.add_subplot()
+    par1 = host.twinx()
+    par2 = host.twinx()
 
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
+    # Offset the right spine of par2.  The ticks and label have already been
+    # placed on the right by twinx above.
+    par2.spines.right.set_position(("axes", 1.2))
+    # Having been created by twinx, par2 has its frame off, so the line of
+    # its detached spine is invisible.  First, activate the frame but make
+    # the patch and spines invisible.
+    make_patch_spines_invisible(par2)
+    # Second, show the right spine.
+    par2.spines.right.set_visible(True)
 
-    ax11.hold(True)
-    ax12.hold(True)
-    ax13.hold(True)
+    p1, = host.plot([0, 1, 2], [0, 1, 2], "b-")
+    p2, = par1.plot([0, 1, 2], [0, 3, 2], "r-")
+    p3, = par2.plot([0, 1, 2], [50, 30, 15], "g-")
 
-    spec11 = ax11.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default',
-                           mode='phase', )
-    spec12 = ax12.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           mode='phase', )
-    spec13 = ax13.specgram(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='twosided',
-                           mode='phase', )
+    host.set_xlim(0, 2)
+    host.set_ylim(0, 2)
+    par1.set_ylim(0, 4)
+    par2.set_ylim(1, 65)
 
-    assert_raises(ValueError, ax11.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='default',
-                  mode='phase', scale='dB')
+    host.yaxis.label.set_color(p1.get_color())
+    par1.yaxis.label.set_color(p2.get_color())
+    par2.yaxis.label.set_color(p3.get_color())
 
-    assert_raises(ValueError, ax12.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='onesided',
-                  mode='phase', scale='dB')
+    tkw = dict(size=4, width=1.5)
+    host.tick_params(axis='y', colors=p1.get_color(), **tkw)
+    par1.tick_params(axis='y', colors=p2.get_color(), **tkw)
+    par2.tick_params(axis='y', colors=p3.get_color(), **tkw)
+    host.tick_params(axis='x', **tkw)
 
-    assert_raises(ValueError, ax13.specgram, y, NFFT=NFFT, Fs=Fs,
-                  noverlap=noverlap, pad_to=pad_to, sides='twosided',
-                  mode='phase', scale='dB')
 
+@image_comparison(['twin_spines_on_top.png', 'twin_spines_on_top.png'],
+                  remove_text=True)
+def test_twin_spines_on_top():
+    matplotlib.rcParams['axes.linewidth'] = 48.0
+    matplotlib.rcParams['lines.linewidth'] = 48.0
 
-@image_comparison(baseline_images=['psd_freqs'], remove_text=True,
-                  extensions=['png'])
-def test_psd_freqs():
-    '''test axes.psd with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
+    fig = plt.figure()
+    ax1 = fig.add_subplot(1, 1, 1)
 
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
+    data = np.array([[1000, 1100, 1200, 1250],
+                     [310, 301, 360, 400]])
 
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+    ax2 = ax1.twinx()
 
-    x = np.arange(0, n, 1/Fs)
+    ax1.plot(data[0], data[1]/1E3, color='#BEAED4')
+    ax1.fill_between(data[0], data[1]/1E3, color='#BEAED4', alpha=.8)
 
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for fstim1, fstim2 in zip(fstims1, fstims2):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
-    y = np.hstack([y1, y2])
+    ax2.plot(data[0], data[1]/1E3, color='#7FC97F')
+    ax2.fill_between(data[0], data[1]/1E3, color='#7FC97F', alpha=.5)
 
+    # Reuse testcase from above for a labeled data test
+    data = {"i": data[0], "j": data[1]/1E3}
     fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    psd1, freqs1 = ax1.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    psd2, freqs2 = ax2.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           return_line=False)
-    psd3, freqs3, line3 = ax3.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                                  pad_to=pad_to, sides='twosided',
-                                  return_line=True)
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['psd_noise'], remove_text=True,
-                  extensions=['png'])
-def test_psd_noise():
-    '''test axes.psd with noise stimuli'''
-    np.random.seed(0)
+    ax1 = fig.add_subplot(1, 1, 1)
+    ax2 = ax1.twinx()
+    ax1.plot("i", "j", color='#BEAED4', data=data)
+    ax1.fill_between("i", "j", color='#BEAED4', alpha=.8, data=data)
+    ax2.plot("i", "j", color='#7FC97F', data=data)
+    ax2.fill_between("i", "j", color='#7FC97F', alpha=.5, data=data)
+
+
+@pytest.mark.parametrize("grid_which, major_visible, minor_visible", [
+    ("both", True, True),
+    ("major", True, False),
+    ("minor", False, True),
+])
+def test_rcparam_grid_minor(grid_which, major_visible, minor_visible):
+    mpl.rcParams.update({"axes.grid": True, "axes.grid.which": grid_which})
+    fig, ax = plt.subplots()
+    fig.canvas.draw()
+    assert all(tick.gridline.get_visible() == major_visible
+               for tick in ax.xaxis.majorTicks)
+    assert all(tick.gridline.get_visible() == minor_visible
+               for tick in ax.xaxis.minorTicks)
 
-    n = 10000
-    Fs = 100.
 
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+def test_grid():
+    fig, ax = plt.subplots()
+    ax.grid()
+    fig.canvas.draw()
+    assert ax.xaxis.majorTicks[0].gridline.get_visible()
+    ax.grid(visible=False)
+    fig.canvas.draw()
+    assert not ax.xaxis.majorTicks[0].gridline.get_visible()
+    ax.grid(visible=True)
+    fig.canvas.draw()
+    assert ax.xaxis.majorTicks[0].gridline.get_visible()
+    ax.grid()
+    fig.canvas.draw()
+    assert not ax.xaxis.majorTicks[0].gridline.get_visible()
 
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2])
 
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    psd1, freqs1 = ax1.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    psd2, freqs2 = ax2.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           return_line=False)
-    psd3, freqs3, line3 = ax3.psd(y, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                                  pad_to=pad_to, sides='twosided',
-                                  return_line=True)
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['csd_freqs'], remove_text=True,
-                  extensions=['png'])
-def test_csd_freqs():
-    '''test axes.csd with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
+def test_reset_grid():
+    fig, ax = plt.subplots()
+    ax.tick_params(reset=True, which='major', labelsize=10)
+    assert not ax.xaxis.majorTicks[0].gridline.get_visible()
+    ax.grid(color='red')  # enables grid
+    assert ax.xaxis.majorTicks[0].gridline.get_visible()
+
+    with plt.rc_context({'axes.grid': True}):
+        ax.clear()
+        ax.tick_params(reset=True, which='major', labelsize=10)
+        assert ax.xaxis.majorTicks[0].gridline.get_visible()
+
+
+@check_figures_equal()
+def test_reset_ticks(fig_test, fig_ref):
+    for fig in [fig_ref, fig_test]:
+        ax = fig.add_subplot()
+        ax.grid(True)
+        ax.tick_params(
+            direction='in', length=10, width=5, color='C0', pad=12,
+            labelsize=14, labelcolor='C1', labelrotation=45,
+            grid_color='C2', grid_alpha=0.8, grid_linewidth=3,
+            grid_linestyle='--')
+        fig.draw_without_rendering()
+
+    # After we've changed any setting on ticks, reset_ticks will mean
+    # re-creating them from scratch. This *should* appear the same as not
+    # resetting them.
+    for ax in fig_test.axes:
+        ax.xaxis.reset_ticks()
+        ax.yaxis.reset_ticks()
+
+
+@mpl.style.context('mpl20')
+def test_context_ticks():
+    with plt.rc_context({
+            'xtick.direction': 'in', 'xtick.major.size': 30, 'xtick.major.width': 5,
+            'xtick.color': 'C0', 'xtick.major.pad': 12,
+            'xtick.bottom': True, 'xtick.top': True,
+            'xtick.labelsize': 14, 'xtick.labelcolor': 'C1'}):
+        fig, ax = plt.subplots()
+    # Draw outside the context so that all-but-first tick are generated with the normal
+    # mpl20 style in place.
+    fig.draw_without_rendering()
+
+    first_tick = ax.xaxis.majorTicks[0]
+    for tick in ax.xaxis.majorTicks[1:]:
+        assert tick._size == first_tick._size
+        assert tick._width == first_tick._width
+        assert tick._base_pad == first_tick._base_pad
+        assert tick._labelrotation == first_tick._labelrotation
+        assert tick._zorder == first_tick._zorder
+        assert tick._tickdir == first_tick._tickdir
 
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-    fstims2 = [Fs/4.7, Fs/5.6, Fs/11.9]
 
-    NFFT = int(1000 * Fs / min(fstims1 + fstims2))
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
+def test_vline_limit():
+    fig = plt.figure()
+    ax = fig.gca()
+    ax.axvline(0.5)
+    ax.plot([-0.1, 0, 0.2, 0.1])
+    assert_allclose(ax.get_ylim(), (-.1, .2))
 
-    x = np.arange(0, n, 1/Fs)
 
-    y1 = np.zeros(x.size)
-    y2 = np.zeros(x.size)
-    for fstim1, fstim2 in zip(fstims1, fstims2):
-        y1 += np.sin(fstim1 * x * np.pi * 2)
-        y2 += np.sin(fstim2 * x * np.pi * 2)
+@pytest.mark.parametrize('fv, fh, args', [[plt.axvline, plt.axhline, (1,)],
+                                          [plt.axvspan, plt.axhspan, (1, 1)]])
+def test_axline_minmax(fv, fh, args):
+    bad_lim = matplotlib.dates.num2date(1)
+    # Check vertical functions
+    with pytest.raises(ValueError, match='ymin must be a single scalar value'):
+        fv(*args, ymin=bad_lim, ymax=1)
+    with pytest.raises(ValueError, match='ymax must be a single scalar value'):
+        fv(*args, ymin=1, ymax=bad_lim)
+    # Check horizontal functions
+    with pytest.raises(ValueError, match='xmin must be a single scalar value'):
+        fh(*args, xmin=bad_lim, xmax=1)
+    with pytest.raises(ValueError, match='xmax must be a single scalar value'):
+        fh(*args, xmin=1, xmax=bad_lim)
 
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    csd1, freqs1 = ax1.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    csd2, freqs2 = ax2.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           return_line=False)
-    csd3, freqs3, line3 = ax3.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                                  pad_to=pad_to, sides='twosided',
-                                  return_line=True)
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['csd_noise'], remove_text=True,
-                  extensions=['png'])
-def test_csd_noise():
-    '''test axes.csd with noise stimuli'''
-    np.random.seed(0)
 
-    n = 10000
-    Fs = 100.
+def test_empty_shared_subplots():
+    # empty plots with shared axes inherit limits from populated plots
+    fig, axs = plt.subplots(nrows=1, ncols=2, sharex=True, sharey=True)
+    axs[0].plot([1, 2, 3], [2, 4, 6])
+    x0, x1 = axs[1].get_xlim()
+    y0, y1 = axs[1].get_ylim()
+    assert x0 <= 1
+    assert x1 >= 3
+    assert y0 <= 2
+    assert y1 >= 6
 
-    NFFT = int(1000 * Fs / 11)
-    noverlap = int(NFFT / 2)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
 
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
+def test_shared_with_aspect_1():
+    # allow sharing one axis
+    for adjustable in ['box', 'datalim']:
+        fig, axs = plt.subplots(nrows=2, sharex=True)
+        axs[0].set_aspect(2, adjustable=adjustable, share=True)
+        assert axs[1].get_aspect() == 2
+        assert axs[1].get_adjustable() == adjustable
+
+        fig, axs = plt.subplots(nrows=2, sharex=True)
+        axs[0].set_aspect(2, adjustable=adjustable)
+        assert axs[1].get_aspect() == 'auto'
+
+
+def test_shared_with_aspect_2():
+    # Share 2 axes only with 'box':
+    fig, axs = plt.subplots(nrows=2, sharex=True, sharey=True)
+    axs[0].set_aspect(2, share=True)
+    axs[0].plot([1, 2], [3, 4])
+    axs[1].plot([3, 4], [1, 2])
+    plt.draw()  # Trigger apply_aspect().
+    assert axs[0].get_xlim() == axs[1].get_xlim()
+    assert axs[0].get_ylim() == axs[1].get_ylim()
+
+
+def test_shared_with_aspect_3():
+    # Different aspect ratios:
+    for adjustable in ['box', 'datalim']:
+        fig, axs = plt.subplots(nrows=2, sharey=True)
+        axs[0].set_aspect(2, adjustable=adjustable)
+        axs[1].set_aspect(0.5, adjustable=adjustable)
+        axs[0].plot([1, 2], [3, 4])
+        axs[1].plot([3, 4], [1, 2])
+        plt.draw()  # Trigger apply_aspect().
+        assert axs[0].get_xlim() != axs[1].get_xlim()
+        assert axs[0].get_ylim() == axs[1].get_ylim()
+        fig_aspect = fig.bbox_inches.height / fig.bbox_inches.width
+        for ax in axs:
+            p = ax.get_position()
+            box_aspect = p.height / p.width
+            lim_aspect = ax.viewLim.height / ax.viewLim.width
+            expected = fig_aspect * box_aspect / lim_aspect
+            assert round(expected, 4) == round(ax.get_aspect(), 4)
+
+
+def test_shared_aspect_error():
+    fig, axes = plt.subplots(1, 2, sharex=True, sharey=True)
+    axes[0].axis("equal")
+    with pytest.raises(RuntimeError, match=r"set_aspect\(..., adjustable="):
+        fig.draw_without_rendering()
+
+
+@pytest.mark.parametrize('err, args, kwargs, match',
+                         ((TypeError, (1, 2), {},
+                           r"axis\(\) takes from 0 to 1 positional arguments "
+                           "but 2 were given"),
+                          (ValueError, ('foo', ), {},
+                           "Unrecognized string 'foo' to axis; try 'on' or "
+                           "'off'"),
+                          (TypeError, ([1, 2], ), {},
+                           "The first argument to axis*"),
+                          (TypeError, tuple(), {'foo': None},
+                           r"axis\(\) got an unexpected keyword argument "
+                           "'foo'"),
+                          ))
+def test_axis_errors(err, args, kwargs, match):
+    with pytest.raises(err, match=match):
+        plt.axis(*args, **kwargs)
+
+
+def test_axis_method_errors():
+    ax = plt.gca()
+    with pytest.raises(ValueError, match="unknown value for which: 'foo'"):
+        ax.get_xaxis_transform('foo')
+    with pytest.raises(ValueError, match="unknown value for which: 'foo'"):
+        ax.get_yaxis_transform('foo')
+    with pytest.raises(TypeError, match="Cannot supply both positional and"):
+        ax.set_prop_cycle('foo', label='bar')
+    with pytest.raises(ValueError, match="argument must be among"):
+        ax.set_anchor('foo')
+    with pytest.raises(ValueError, match="scilimits must be a sequence"):
+        ax.ticklabel_format(scilimits=1)
+    with pytest.raises(TypeError, match="Specifying 'loc' is disallowed"):
+        ax.set_xlabel('foo', loc='left', x=1)
+    with pytest.raises(TypeError, match="Specifying 'loc' is disallowed"):
+        ax.set_ylabel('foo', loc='top', y=1)
+    with pytest.raises(TypeError, match="Cannot pass both 'left'"):
+        ax.set_xlim(left=0, xmin=1)
+    with pytest.raises(TypeError, match="Cannot pass both 'right'"):
+        ax.set_xlim(right=0, xmax=1)
+    with pytest.raises(TypeError, match="Cannot pass both 'bottom'"):
+        ax.set_ylim(bottom=0, ymin=1)
+    with pytest.raises(TypeError, match="Cannot pass both 'top'"):
+        ax.set_ylim(top=0, ymax=1)
+
+
+@pytest.mark.parametrize('twin', ('x', 'y'))
+def test_twin_with_aspect(twin):
+    fig, ax = plt.subplots()
+    # test twinx or twiny
+    ax_twin = getattr(ax, f'twin{twin}')()
+    ax.set_aspect(5)
+    ax_twin.set_aspect(2)
+    assert_array_equal(ax.bbox.extents,
+                       ax_twin.bbox.extents)
 
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    csd1, freqs1 = ax1.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='default')
-    csd2, freqs2 = ax2.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                           pad_to=pad_to, sides='onesided',
-                           return_line=False)
-    csd3, freqs3, line3 = ax3.csd(y1, y2, NFFT=NFFT, Fs=Fs, noverlap=noverlap,
-                                  pad_to=pad_to, sides='twosided',
-                                  return_line=True)
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['magnitude_spectrum_freqs_linear',
-                                   'magnitude_spectrum_freqs_dB'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_magnitude_spectrum_freqs():
-    '''test axes.magnitude_spectrum with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
 
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-
-    NFFT = int(1000 * Fs / min(fstims1))
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    x = np.arange(0, n, 1/Fs)
-
-    y = np.zeros(x.size)
-    for i, fstim1 in enumerate(fstims1):
-        y += np.sin(fstim1 * x * np.pi * 2) * 10**i
-    y = y
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11, freqs11, line11 = ax11.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='default')
-    spec12, freqs12, line12 = ax12.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='onesided')
-    spec13, freqs13, line13 = ax13.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='twosided')
-
-    spec21, freqs21, line21 = ax21.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='default',
-                                                      scale='dB')
-    spec22, freqs22, line22 = ax22.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='onesided',
-                                                      scale='dB')
-    spec23, freqs23, line23 = ax23.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='twosided',
-                                                      scale='dB')
-
-    ax11.set_xlabel('')
-    ax12.set_xlabel('')
-    ax13.set_xlabel('')
-    ax11.set_ylabel('')
-    ax12.set_ylabel('')
-    ax13.set_ylabel('')
-
-    ax21.set_xlabel('')
-    ax22.set_xlabel('')
-    ax23.set_xlabel('')
-    ax21.set_ylabel('')
-    ax22.set_ylabel('')
-    ax23.set_ylabel('')
-
-
-@image_comparison(baseline_images=['magnitude_spectrum_noise_linear',
-                                   'magnitude_spectrum_noise_dB'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_magnitude_spectrum_noise():
-    '''test axes.magnitude_spectrum with noise stimuli'''
-    np.random.seed(0)
-
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2]) - .5
-
-    fig1 = plt.figure()
-    fig2 = plt.figure()
-
-    ax11 = fig1.add_subplot(3, 1, 1)
-    ax12 = fig1.add_subplot(3, 1, 2)
-    ax13 = fig1.add_subplot(3, 1, 3)
-
-    ax21 = fig2.add_subplot(3, 1, 1)
-    ax22 = fig2.add_subplot(3, 1, 2)
-    ax23 = fig2.add_subplot(3, 1, 3)
-
-    spec11, freqs11, line11 = ax11.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='default')
-    spec12, freqs12, line12 = ax12.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='onesided')
-    spec13, freqs13, line13 = ax13.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='twosided')
-
-    spec21, freqs21, line21 = ax21.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='default',
-                                                      scale='dB')
-    spec22, freqs22, line22 = ax22.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='onesided',
-                                                      scale='dB')
-    spec23, freqs23, line23 = ax23.magnitude_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                                      sides='twosided',
-                                                      scale='dB')
-
-    ax11.set_xlabel('')
-    ax12.set_xlabel('')
-    ax13.set_xlabel('')
-    ax11.set_ylabel('')
-    ax12.set_ylabel('')
-    ax13.set_ylabel('')
-
-    ax21.set_xlabel('')
-    ax22.set_xlabel('')
-    ax23.set_xlabel('')
-    ax21.set_ylabel('')
-    ax22.set_ylabel('')
-    ax23.set_ylabel('')
-
-
-@image_comparison(baseline_images=['angle_spectrum_freqs'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_angle_spectrum_freqs():
-    '''test axes.angle_spectrum with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
-
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-
-    NFFT = int(1000 * Fs / min(fstims1))
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    x = np.arange(0, n, 1/Fs)
-
-    y = np.zeros(x.size)
-    for i, fstim1 in enumerate(fstims1):
-        y += np.sin(fstim1 * x * np.pi * 2) * 10**i
-    y = y
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    spec1, freqs1, line1 = ax1.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='default')
-    spec2, freqs2, line2 = ax2.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='onesided')
-    spec3, freqs3, line3 = ax3.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='twosided')
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['angle_spectrum_noise'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_angle_spectrum_noise():
-    '''test axes.angle_spectrum with noise stimuli'''
-    np.random.seed(0)
-
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2]) - .5
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    spec1, freqs1, line1 = ax1.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='default')
-    spec2, freqs2, line2 = ax2.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='onesided')
-    spec3, freqs3, line3 = ax3.angle_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='twosided')
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['phase_spectrum_freqs'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_phase_spectrum_freqs():
-    '''test axes.phase_spectrum with sinusoidal stimuli'''
-    n = 10000
-    Fs = 100.
-
-    fstims1 = [Fs/4, Fs/5, Fs/11]
-
-    NFFT = int(1000 * Fs / min(fstims1))
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    x = np.arange(0, n, 1/Fs)
-
-    y = np.zeros(x.size)
-    for i, fstim1 in enumerate(fstims1):
-        y += np.sin(fstim1 * x * np.pi * 2) * 10**i
-    y = y
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    spec1, freqs1, line1 = ax1.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='default')
-    spec2, freqs2, line2 = ax2.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='onesided')
-    spec3, freqs3, line3 = ax3.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='twosided')
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['phase_spectrum_noise'],
-                  remove_text=True,
-                  extensions=['png'])
-def test_phase_spectrum_noise():
-    '''test axes.phase_spectrum with noise stimuli'''
-    np.random.seed(0)
-
-    n = 10000
-    Fs = 100.
-
-    NFFT = int(1000 * Fs / 11)
-    pad_to = int(2 ** np.ceil(np.log2(NFFT)))
-
-    y1 = np.random.standard_normal(n)
-    y2 = np.random.rand(n)
-    y = np.hstack([y1, y2]) - .5
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(3, 1, 1)
-    ax2 = fig.add_subplot(3, 1, 2)
-    ax3 = fig.add_subplot(3, 1, 3)
-
-    spec1, freqs1, line1 = ax1.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='default')
-    spec2, freqs2, line2 = ax2.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='onesided')
-    spec3, freqs3, line3 = ax3.phase_spectrum(y, Fs=Fs, pad_to=pad_to,
-                                              sides='twosided')
-
-    ax1.set_xlabel('')
-    ax2.set_xlabel('')
-    ax3.set_xlabel('')
-    ax1.set_ylabel('')
-    ax2.set_ylabel('')
-    ax3.set_ylabel('')
-
-
-@image_comparison(baseline_images=['twin_spines'], remove_text=True,
-                  extensions=['png'])
-def test_twin_spines():
-
-    def make_patch_spines_invisible(ax):
-        ax.set_frame_on(True)
-        ax.patch.set_visible(False)
-        for sp in six.itervalues(ax.spines):
-            sp.set_visible(False)
-
-    fig = plt.figure(figsize=(4, 3))
-    fig.subplots_adjust(right=0.75)
-
-    host = fig.add_subplot(111)
-    par1 = host.twinx()
-    par2 = host.twinx()
-
-    # Offset the right spine of par2.  The ticks and label have already been
-    # placed on the right by twinx above.
-    par2.spines["right"].set_position(("axes", 1.2))
-    # Having been created by twinx, par2 has its frame off, so the line of its
-    # detached spine is invisible.  First, activate the frame but make the patch
-    # and spines invisible.
-    make_patch_spines_invisible(par2)
-    # Second, show the right spine.
-    par2.spines["right"].set_visible(True)
-
-    p1, = host.plot([0, 1, 2], [0, 1, 2], "b-")
-    p2, = par1.plot([0, 1, 2], [0, 3, 2], "r-")
-    p3, = par2.plot([0, 1, 2], [50, 30, 15], "g-")
-
-    host.set_xlim(0, 2)
-    host.set_ylim(0, 2)
-    par1.set_ylim(0, 4)
-    par2.set_ylim(1, 65)
-
-    host.yaxis.label.set_color(p1.get_color())
-    par1.yaxis.label.set_color(p2.get_color())
-    par2.yaxis.label.set_color(p3.get_color())
-
-    tkw = dict(size=4, width=1.5)
-    host.tick_params(axis='y', colors=p1.get_color(), **tkw)
-    par1.tick_params(axis='y', colors=p2.get_color(), **tkw)
-    par2.tick_params(axis='y', colors=p3.get_color(), **tkw)
-    host.tick_params(axis='x', **tkw)
-
-
-@image_comparison(baseline_images=['twin_spines_on_top'], extensions=['png'],
-                  remove_text=True)
-def test_twin_spines_on_top():
-    matplotlib.rcParams['axes.linewidth'] = 48.0
-    matplotlib.rcParams['lines.linewidth'] = 48.0
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(1, 1, 1)
-
-    data = np.array([[1000, 1100, 1200, 1250],
-                     [310, 301, 360, 400]])
-
-    ax2 = ax1.twinx()
-
-    ax1.plot(data[0], data[1]/1E3, color='#BEAED4')
-    ax1.fill_between(data[0], data[1]/1E3, color='#BEAED4', alpha=.8)
-
-    ax2.plot(data[0], data[1]/1E3, color='#7FC97F')
-    ax2.fill_between(data[0], data[1]/1E3, color='#7FC97F', alpha=.5)
-
-
-@cleanup
-def test_rcparam_grid_minor():
-    orig_grid = matplotlib.rcParams['axes.grid']
-    orig_locator = matplotlib.rcParams['axes.grid.which']
-
-    matplotlib.rcParams['axes.grid'] = True
-
-    values = (
-        (('both'), (True, True)),
-        (('major'), (True, False)),
-        (('minor'), (False, True))
-        )
-
-    for locator, result in values:
-        matplotlib.rcParams['axes.grid.which'] = locator
-        fig = plt.figure()
-        ax = fig.add_subplot(1, 1, 1)
-        assert((ax.xaxis._gridOnMajor, ax.xaxis._gridOnMinor) == result)
-
-    matplotlib.rcParams['axes.grid'] = orig_grid
-    matplotlib.rcParams['axes.grid.which'] = orig_locator
-
-
-@cleanup
-def test_vline_limit():
-    fig = plt.figure()
-    ax = fig.gca()
-    ax.axvline(0.5)
-    ax.plot([-0.1, 0, 0.2, 0.1])
-    (ymin, ymax) = ax.get_ylim()
-    assert ymin == -0.1
-    assert ymax == 0.25
-
-
-@cleanup
-def test_empty_shared_subplots():
-    # empty plots with shared axes inherit limits from populated plots
-    fig, axes = plt.subplots(nrows=1, ncols=2, sharex=True, sharey=True)
-    axes[0].plot([1, 2, 3], [2, 4, 6])
-    x0, x1 = axes[1].get_xlim()
-    y0, y1 = axes[1].get_ylim()
-    assert x0 <= 1
-    assert x1 >= 3
-    assert y0 <= 2
-    assert y1 >= 6
-
-
-@cleanup
 def test_relim_visible_only():
     x1 = (0., 10.)
     y1 = (0., 10.)
@@ -3313,14 +6264,14 @@ def test_relim_visible_only():
     y2 = (-10., 30.)
 
     fig = matplotlib.figure.Figure()
-    ax = fig.add_subplot(111)
+    ax = fig.add_subplot()
     ax.plot(x1, y1)
     assert ax.get_xlim() == x1
     assert ax.get_ylim() == y1
-    l = ax.plot(x2, y2)
+    line, = ax.plot(x2, y2)
     assert ax.get_xlim() == x2
     assert ax.get_ylim() == y2
-    l[0].set_visible(False)
+    line.set_visible(False)
     assert ax.get_xlim() == x2
     assert ax.get_ylim() == y2
 
@@ -3331,7 +6282,6 @@ def test_relim_visible_only():
     assert ax.get_ylim() == y1
 
 
-@cleanup
 def test_text_labelsize():
     """
     tests for issue #1172
@@ -3342,7 +6292,25 @@ def test_text_labelsize():
     ax.tick_params(direction='out')
 
 
-@image_comparison(baseline_images=['pie_linewidth_0'], extensions=['png'])
+# Note: The `pie` image tests were affected by Numpy 2.0 changing promotions
+# (NEP 50). While the changes were only marginal, tolerances were introduced.
+# These tolerances could likely go away when numpy 2.0 is the minimum supported
+# numpy and the images are regenerated.
+
+@image_comparison(['pie_default.png'], tol=0.01)
+def test_pie_default():
+    # The slices will be ordered and plotted counter-clockwise.
+    labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
+    sizes = [15, 30, 45, 10]
+    colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
+    explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
+    fig1, ax1 = plt.subplots(figsize=(8, 6))
+    ax1.pie(sizes, explode=explode, labels=labels, colors=colors,
+            autopct='%1.1f%%', shadow=True, startangle=90)
+
+
+@image_comparison(['pie_linewidth_0', 'pie_linewidth_0', 'pie_linewidth_0'],
+                  extensions=['png'], style='mpl20', tol=0.01)
 def test_pie_linewidth_0():
     # The slices will be ordered and plotted counter-clockwise.
     labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
@@ -3356,27 +6324,45 @@ def test_pie_linewidth_0():
     # Set aspect ratio to be equal so that pie is drawn as a circle.
     plt.axis('equal')
 
+    # Reuse testcase from above for a labeled data test
+    data = {"l": labels, "s": sizes, "c": colors, "ex": explode}
+    fig = plt.figure()
+    ax = fig.gca()
+    ax.pie("s", explode="ex", labels="l", colors="c",
+           autopct='%1.1f%%', shadow=True, startangle=90,
+           wedgeprops={'linewidth': 0}, data=data)
+    ax.axis('equal')
+
+    # And again to test the pyplot functions which should also be able to be
+    # called with a data kwarg
+    plt.figure()
+    plt.pie("s", explode="ex", labels="l", colors="c",
+            autopct='%1.1f%%', shadow=True, startangle=90,
+            wedgeprops={'linewidth': 0}, data=data)
+    plt.axis('equal')
+
 
-@image_comparison(baseline_images=['pie_center_radius'], extensions=['png'])
+@image_comparison(['pie_center_radius.png'], style='mpl20', tol=0.01)
 def test_pie_center_radius():
     # The slices will be ordered and plotted counter-clockwise.
     labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
     sizes = [15, 30, 45, 10]
     colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
-    explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs')
+    explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
 
     plt.pie(sizes, explode=explode, labels=labels, colors=colors,
             autopct='%1.1f%%', shadow=True, startangle=90,
-            wedgeprops={'linewidth': 0}, center=(1,2), radius=1.5)
+            wedgeprops={'linewidth': 0}, center=(1, 2), radius=1.5)
 
-    plt.annotate("Center point", xy=(1,2), xytext=(1,1.5),
+    plt.annotate("Center point", xy=(1, 2), xytext=(1, 1.3),
                  arrowprops=dict(arrowstyle="->",
-                                 connectionstyle="arc3"))
+                                 connectionstyle="arc3"),
+                 bbox=dict(boxstyle="square", facecolor="lightgrey"))
     # Set aspect ratio to be equal so that pie is drawn as a circle.
     plt.axis('equal')
 
 
-@image_comparison(baseline_images=['pie_linewidth_2'], extensions=['png'])
+@image_comparison(['pie_linewidth_2.png'], style='mpl20', tol=0.01)
 def test_pie_linewidth_2():
     # The slices will be ordered and plotted counter-clockwise.
     labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
@@ -3391,7 +6377,7 @@ def test_pie_linewidth_2():
     plt.axis('equal')
 
 
-@image_comparison(baseline_images=['pie_ccw_true'], extensions=['png'])
+@image_comparison(['pie_ccw_true.png'], style='mpl20', tol=0.01)
 def test_pie_ccw_true():
     # The slices will be ordered and plotted counter-clockwise.
     labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
@@ -3406,7 +6392,7 @@ def test_pie_ccw_true():
     plt.axis('equal')
 
 
-@image_comparison(baseline_images=['pie_frame_grid'], extensions=['png'])
+@image_comparison(['pie_frame_grid.png'], style='mpl20', tol=0.002)
 def test_pie_frame_grid():
     # The slices will be ordered and plotted counter-clockwise.
     labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
@@ -3433,45 +6419,3465 @@ def test_pie_frame_grid():
     plt.axis('equal')
 
 
-@cleanup
+@image_comparison(['pie_rotatelabels_true.png'], style='mpl20', tol=0.009)
+def test_pie_rotatelabels_true():
+    # The slices will be ordered and plotted counter-clockwise.
+    labels = 'Hogwarts', 'Frogs', 'Dogs', 'Logs'
+    sizes = [15, 30, 45, 10]
+    colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
+    explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
+
+    plt.pie(sizes, explode=explode, labels=labels, colors=colors,
+            autopct='%1.1f%%', shadow=True, startangle=90,
+            rotatelabels=True)
+    # Set aspect ratio to be equal so that pie is drawn as a circle.
+    plt.axis('equal')
+
+
+@image_comparison(['pie_no_label.png'], tol=0.01)
+def test_pie_nolabel_but_legend():
+    labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
+    sizes = [15, 30, 45, 10]
+    colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
+    explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')
+    plt.pie(sizes, explode=explode, labels=labels, colors=colors,
+            autopct='%1.1f%%', shadow=True, startangle=90, labeldistance=None,
+            rotatelabels=True)
+    plt.axis('equal')
+    plt.ylim(-1.2, 1.2)
+    plt.legend()
+
+
+@image_comparison(['pie_shadow.png'], style='mpl20', tol=0.002)
+def test_pie_shadow():
+    # Also acts as a test for the shade argument of Shadow
+    sizes = [15, 30, 45, 10]
+    colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
+    explode = (0, 0.1, 0, 0)  # only "explode" the 2nd slice
+    _, axes = plt.subplots(2, 2)
+    axes[0][0].pie(sizes, explode=explode, colors=colors,
+                   shadow=True, startangle=90,
+                   wedgeprops={'linewidth': 0})
+
+    axes[0][1].pie(sizes, explode=explode, colors=colors,
+                   shadow=False, startangle=90,
+                   wedgeprops={'linewidth': 0})
+
+    axes[1][0].pie(sizes, explode=explode, colors=colors,
+                   shadow={'ox': -0.05, 'oy': -0.05, 'shade': 0.9, 'edgecolor': 'none'},
+                   startangle=90, wedgeprops={'linewidth': 0})
+
+    axes[1][1].pie(sizes, explode=explode, colors=colors,
+                   shadow={'ox': 0.05, 'linewidth': 2, 'shade': 0.2},
+                   startangle=90, wedgeprops={'linewidth': 0})
+
+
+def test_pie_textprops():
+    data = [23, 34, 45]
+    labels = ["Long name 1", "Long name 2", "Long name 3"]
+
+    textprops = dict(horizontalalignment="center",
+                     verticalalignment="top",
+                     rotation=90,
+                     rotation_mode="anchor",
+                     size=12, color="red")
+
+    _, texts, autopct = plt.gca().pie(data, labels=labels, autopct='%.2f',
+                                      textprops=textprops)
+    for labels in [texts, autopct]:
+        for tx in labels:
+            assert tx.get_ha() == textprops["horizontalalignment"]
+            assert tx.get_va() == textprops["verticalalignment"]
+            assert tx.get_rotation() == textprops["rotation"]
+            assert tx.get_rotation_mode() == textprops["rotation_mode"]
+            assert tx.get_size() == textprops["size"]
+            assert tx.get_color() == textprops["color"]
+
+
+def test_pie_get_negative_values():
+    # Test the ValueError raised when feeding negative values into axes.pie
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.pie([5, 5, -3], explode=[0, .1, .2])
+
+
+def test_pie_invalid_explode():
+    # Test ValueError raised when feeding short explode list to axes.pie
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.pie([1, 2, 3], explode=[0.1, 0.1])
+
+
+def test_pie_invalid_labels():
+    # Test ValueError raised when feeding short labels list to axes.pie
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.pie([1, 2, 3], labels=["One", "Two"])
+
+
+def test_pie_invalid_radius():
+    # Test ValueError raised when feeding negative radius to axes.pie
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.pie([1, 2, 3], radius=-5)
+
+
+def test_normalize_kwarg_pie():
+    fig, ax = plt.subplots()
+    x = [0.3, 0.3, 0.1]
+    t1 = ax.pie(x=x, normalize=True)
+    assert abs(t1[0][-1].theta2 - 360.) < 1e-3
+    t2 = ax.pie(x=x, normalize=False)
+    assert abs(t2[0][-1].theta2 - 360.) > 1e-3
+
+
+@check_figures_equal()
+def test_pie_hatch_single(fig_test, fig_ref):
+    x = [0.3, 0.3, 0.1]
+    hatch = '+'
+    fig_test.subplots().pie(x, hatch=hatch)
+    wedges, _ = fig_ref.subplots().pie(x)
+    [w.set_hatch(hatch) for w in wedges]
+
+
+@check_figures_equal()
+def test_pie_hatch_multi(fig_test, fig_ref):
+    x = [0.3, 0.3, 0.1]
+    hatch = ['/', '+', '.']
+    fig_test.subplots().pie(x, hatch=hatch)
+    wedges, _ = fig_ref.subplots().pie(x)
+    [w.set_hatch(hp) for w, hp in zip(wedges, hatch)]
+
+
+@image_comparison(['set_get_ticklabels.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.025)
+def test_set_get_ticklabels():
+    # test issue 2246
+    fig, ax = plt.subplots(2)
+    ha = ['normal', 'set_x/yticklabels']
+
+    ax[0].plot(np.arange(10))
+    ax[0].set_title(ha[0])
+
+    ax[1].plot(np.arange(10))
+    ax[1].set_title(ha[1])
+
+    # set ticklabel to 1 plot in normal way
+    ax[0].set_xticks(range(10))
+    ax[0].set_yticks(range(10))
+    ax[0].set_xticklabels(['a', 'b', 'c', 'd'] + 6 * [''])
+    ax[0].set_yticklabels(['11', '12', '13', '14'] + 6 * [''])
+
+    # set ticklabel to the other plot, expect the 2 plots have same label
+    # setting pass get_ticklabels return value as ticklabels argument
+    ax[1].set_xticks(ax[0].get_xticks())
+    ax[1].set_yticks(ax[0].get_yticks())
+    ax[1].set_xticklabels(ax[0].get_xticklabels())
+    ax[1].set_yticklabels(ax[0].get_yticklabels())
+
+
+def test_set_ticks_kwargs_raise_error_without_labels():
+    """
+    When labels=None and any kwarg is passed, axis.set_ticks() raises a
+    ValueError.
+    """
+    fig, ax = plt.subplots()
+    ticks = [1, 2, 3]
+    with pytest.raises(ValueError, match="Incorrect use of keyword argument 'alpha'"):
+        ax.xaxis.set_ticks(ticks, alpha=0.5)
+
+
+@check_figures_equal()
+def test_set_ticks_with_labels(fig_test, fig_ref):
+    """
+    Test that these two are identical::
+
+        set_xticks(ticks); set_xticklabels(labels, **kwargs)
+        set_xticks(ticks, labels, **kwargs)
+
+    """
+    ax = fig_ref.subplots()
+    ax.set_xticks([1, 2, 4, 6])
+    ax.set_xticklabels(['a', 'b', 'c', 'd'], fontweight='bold')
+    ax.set_yticks([1, 3, 5])
+    ax.set_yticks([2, 4], minor=True)
+    ax.set_yticklabels(['A', 'B'], minor=True)
+
+    ax = fig_test.subplots()
+    ax.set_xticks([1, 2, 4, 6], ['a', 'b', 'c', 'd'], fontweight='bold')
+    ax.set_yticks([1, 3, 5])
+    ax.set_yticks([2, 4], ['A', 'B'], minor=True)
+
+
+def test_xticks_bad_args():
+    ax = plt.figure().add_subplot()
+    with pytest.raises(TypeError, match='must be a sequence'):
+        ax.set_xticks([2, 9], 3.1)
+    with pytest.raises(ValueError, match='must be 1D'):
+        plt.xticks(np.arange(4).reshape((-1, 1)))
+    with pytest.raises(ValueError, match='must be 1D'):
+        plt.xticks(np.arange(4).reshape((1, -1)))
+    with pytest.raises(ValueError, match='must be 1D'):
+        plt.xticks(np.arange(4).reshape((-1, 1)), labels=range(4))
+    with pytest.raises(ValueError, match='must be 1D'):
+        plt.xticks(np.arange(4).reshape((1, -1)), labels=range(4))
+
+
+def test_subsampled_ticklabels():
+    # test issue 11937
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10))
+    ax.xaxis.set_ticks(np.arange(10) + 0.1)
+    ax.locator_params(nbins=5)
+    ax.xaxis.set_ticklabels([c for c in "bcdefghijk"])
+    plt.draw()
+    labels = [t.get_text() for t in ax.xaxis.get_ticklabels()]
+    assert labels == ['b', 'd', 'f', 'h', 'j']
+
+
+def test_mismatched_ticklabels():
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10))
+    ax.xaxis.set_ticks([1.5, 2.5])
+    with pytest.raises(ValueError):
+        ax.xaxis.set_ticklabels(['a', 'b', 'c'])
+
+
+def test_empty_ticks_fixed_loc():
+    # Smoke test that [] can be used to unset all tick labels
+    fig, ax = plt.subplots()
+    ax.bar([1, 2], [1, 2])
+    ax.set_xticks([1, 2])
+    ax.set_xticklabels([])
+
+
+@image_comparison(['retain_tick_visibility.png'])
+def test_retain_tick_visibility():
+    fig, ax = plt.subplots()
+    plt.plot([0, 1, 2], [0, -1, 4])
+    plt.setp(ax.get_yticklabels(), visible=False)
+    ax.tick_params(axis="y", which="both", length=0)
+
+
+def test_warn_too_few_labels():
+    # note that the axis is still using an AutoLocator:
+    fig, ax = plt.subplots()
+    with pytest.warns(
+           UserWarning,
+           match=r'set_ticklabels\(\) should only be used with a fixed number'):
+        ax.set_xticklabels(['0', '0.1'])
+    # note that the axis is still using a FixedLocator:
+    fig, ax = plt.subplots()
+    ax.set_xticks([0, 0.5, 1])
+    with pytest.raises(ValueError,
+                       match='The number of FixedLocator locations'):
+        ax.set_xticklabels(['0', '0.1'])
+
+
+def test_tick_label_update():
+    # test issue 9397
+
+    fig, ax = plt.subplots()
+
+    # Set up a dummy formatter
+    def formatter_func(x, pos):
+        return "unit value" if x == 1 else ""
+    ax.xaxis.set_major_formatter(plt.FuncFormatter(formatter_func))
+
+    # Force some of the x-axis ticks to be outside of the drawn range
+    ax.set_xticks([-1, 0, 1, 2, 3])
+    ax.set_xlim(-0.5, 2.5)
+
+    fig.canvas.draw()
+    tick_texts = [tick.get_text() for tick in ax.xaxis.get_ticklabels()]
+    assert tick_texts == ["", "", "unit value", "", ""]
+
+
+@image_comparison(['o_marker_path_snap.png'], savefig_kwarg={'dpi': 72})
+def test_o_marker_path_snap():
+    fig, ax = plt.subplots()
+    ax.margins(.1)
+    for ms in range(1, 15):
+        ax.plot([1, 2, ], np.ones(2) + ms, 'o', ms=ms)
+
+    for ms in np.linspace(1, 10, 25):
+        ax.plot([3, 4, ], np.ones(2) + ms, 'o', ms=ms)
+
+
 def test_margins():
     # test all ways margins can be called
     data = [1, 10]
+    xmin = 0.0
+    xmax = len(data) - 1.0
+    ymin = min(data)
+    ymax = max(data)
 
     fig1, ax1 = plt.subplots(1, 1)
     ax1.plot(data)
     ax1.margins(1)
-    assert_equal(ax1.margins(), (1, 1))
+    assert ax1.margins() == (1, 1)
+    assert ax1.get_xlim() == (xmin - (xmax - xmin) * 1,
+                              xmax + (xmax - xmin) * 1)
+    assert ax1.get_ylim() == (ymin - (ymax - ymin) * 1,
+                              ymax + (ymax - ymin) * 1)
 
     fig2, ax2 = plt.subplots(1, 1)
     ax2.plot(data)
-    ax2.margins(1, 0.5)
-    assert_equal(ax2.margins(), (1, 0.5))
+    ax2.margins(0.5, 2)
+    assert ax2.margins() == (0.5, 2)
+    assert ax2.get_xlim() == (xmin - (xmax - xmin) * 0.5,
+                              xmax + (xmax - xmin) * 0.5)
+    assert ax2.get_ylim() == (ymin - (ymax - ymin) * 2,
+                              ymax + (ymax - ymin) * 2)
 
     fig3, ax3 = plt.subplots(1, 1)
     ax3.plot(data)
-    ax3.margins(x=1, y=0.5)
-    assert_equal(ax3.margins(), (1, 0.5))
+    ax3.margins(x=-0.2, y=0.5)
+    assert ax3.margins() == (-0.2, 0.5)
+    assert ax3.get_xlim() == (xmin - (xmax - xmin) * -0.2,
+                              xmax + (xmax - xmin) * -0.2)
+    assert ax3.get_ylim() == (ymin - (ymax - ymin) * 0.5,
+                              ymax + (ymax - ymin) * 0.5)
+
+
+def test_margin_getters():
+    fig = plt.figure()
+    ax = fig.add_subplot()
+    ax.margins(0.2, 0.3)
+    assert ax.get_xmargin() == 0.2
+    assert ax.get_ymargin() == 0.3
+
+
+def test_set_margin_updates_limits():
+    mpl.style.use("default")
+    fig, ax = plt.subplots()
+    ax.plot([1, 2], [1, 2])
+    ax.set(xscale="log", xmargin=0)
+    assert ax.get_xlim() == (1, 2)
+
+
+@pytest.mark.parametrize('err, args, kwargs, match', (
+        (ValueError, (-1,), {}, r'margin must be greater than -0\.5'),
+        (ValueError, (1, -1), {}, r'margin must be greater than -0\.5'),
+        (ValueError, tuple(), {'x': -1}, r'margin must be greater than -0\.5'),
+        (ValueError, tuple(), {'y': -1}, r'margin must be greater than -0\.5'),
+        (TypeError, (1, ), {'x': 1, 'y': 1},
+         'Cannot pass both positional and keyword arguments for x and/or y'),
+        (TypeError, (1, ), {'x': 1},
+         'Cannot pass both positional and keyword arguments for x and/or y'),
+        (TypeError, (1, 1, 1), {}, 'Must pass a single positional argument'),
+))
+def test_margins_errors(err, args, kwargs, match):
+    with pytest.raises(err, match=match):
+        fig = plt.figure()
+        ax = fig.add_subplot()
+        ax.margins(*args, **kwargs)
+
+
+def test_length_one_hist():
+    fig, ax = plt.subplots()
+    ax.hist(1)
+    ax.hist([1])
+
+
+def test_set_xy_bound():
+    fig = plt.figure()
+    ax = fig.add_subplot()
+    ax.set_xbound(2.0, 3.0)
+    assert ax.get_xbound() == (2.0, 3.0)
+    assert ax.get_xlim() == (2.0, 3.0)
+    ax.set_xbound(upper=4.0)
+    assert ax.get_xbound() == (2.0, 4.0)
+    assert ax.get_xlim() == (2.0, 4.0)
+    ax.set_xbound(lower=3.0)
+    assert ax.get_xbound() == (3.0, 4.0)
+    assert ax.get_xlim() == (3.0, 4.0)
+
+    ax.set_ybound(2.0, 3.0)
+    assert ax.get_ybound() == (2.0, 3.0)
+    assert ax.get_ylim() == (2.0, 3.0)
+    ax.set_ybound(upper=4.0)
+    assert ax.get_ybound() == (2.0, 4.0)
+    assert ax.get_ylim() == (2.0, 4.0)
+    ax.set_ybound(lower=3.0)
+    assert ax.get_ybound() == (3.0, 4.0)
+    assert ax.get_ylim() == (3.0, 4.0)
 
 
-@cleanup
 def test_pathological_hexbin():
     # issue #2863
-    out = io.BytesIO()
+    mylist = [10] * 100
+    fig, ax = plt.subplots(1, 1)
+    ax.hexbin(mylist, mylist)
+    fig.savefig(io.BytesIO())  # Check that no warning is emitted.
+
 
-    with warnings.catch_warnings(record=True) as w:
-        mylist = [10] * 100
-        fig, ax = plt.subplots(1, 1)
-        ax.hexbin(mylist, mylist)
-        fig.savefig(out)
-        assert_equal(len(w), 0)
+def test_color_None():
+    # issue 3855
+    fig, ax = plt.subplots()
+    ax.plot([1, 2], [1, 2], color=None)
+
+
+def test_color_alias():
+    # issues 4157 and 4162
+    fig, ax = plt.subplots()
+    line = ax.plot([0, 1], c='lime')[0]
+    assert 'lime' == line.get_color()
 
 
-if __name__ == '__main__':
-    import nose
-    import sys
+def test_numerical_hist_label():
+    fig, ax = plt.subplots()
+    ax.hist([range(15)] * 5, label=range(5))
+    ax.legend()
 
-    args = ['-s', '--with-doctest']
-    argv = sys.argv
-    argv = argv[:1] + args + argv[1:]
-    nose.runmodule(argv=argv, exit=False)
+
+def test_unicode_hist_label():
+    fig, ax = plt.subplots()
+    a = (b'\xe5\xbe\x88\xe6\xbc\x82\xe4\xba\xae, ' +
+         b'r\xc3\xb6m\xc3\xa4n ch\xc3\xa4r\xc3\xa1ct\xc3\xa8rs')
+    b = b'\xd7\xa9\xd7\x9c\xd7\x95\xd7\x9d'
+    labels = [a.decode('utf-8'),
+              'hi aardvark',
+              b.decode('utf-8'),
+              ]
+
+    ax.hist([range(15)] * 3, label=labels)
+    ax.legend()
+
+
+def test_move_offsetlabel():
+    data = np.random.random(10) * 1e-22
+
+    fig, ax = plt.subplots()
+    ax.plot(data)
+    fig.canvas.draw()
+    before = ax.yaxis.offsetText.get_position()
+    assert ax.yaxis.offsetText.get_horizontalalignment() == 'left'
+    ax.yaxis.tick_right()
+    fig.canvas.draw()
+    after = ax.yaxis.offsetText.get_position()
+    assert after[0] > before[0] and after[1] == before[1]
+    assert ax.yaxis.offsetText.get_horizontalalignment() == 'right'
+
+    fig, ax = plt.subplots()
+    ax.plot(data)
+    fig.canvas.draw()
+    before = ax.xaxis.offsetText.get_position()
+    assert ax.xaxis.offsetText.get_verticalalignment() == 'top'
+    ax.xaxis.tick_top()
+    fig.canvas.draw()
+    after = ax.xaxis.offsetText.get_position()
+    assert after[0] == before[0] and after[1] > before[1]
+    assert ax.xaxis.offsetText.get_verticalalignment() == 'bottom'
+
+
+@image_comparison(['rc_spines.png'], savefig_kwarg={'dpi': 40})
+def test_rc_spines():
+    rc_dict = {
+        'axes.spines.left': False,
+        'axes.spines.right': False,
+        'axes.spines.top': False,
+        'axes.spines.bottom': False}
+    with matplotlib.rc_context(rc_dict):
+        plt.subplots()  # create a figure and axes with the spine properties
+
+
+@image_comparison(['rc_grid.png'], savefig_kwarg={'dpi': 40})
+def test_rc_grid():
+    fig = plt.figure()
+    rc_dict0 = {
+        'axes.grid': True,
+        'axes.grid.axis': 'both'
+    }
+    rc_dict1 = {
+        'axes.grid': True,
+        'axes.grid.axis': 'x'
+    }
+    rc_dict2 = {
+        'axes.grid': True,
+        'axes.grid.axis': 'y'
+    }
+    dict_list = [rc_dict0, rc_dict1, rc_dict2]
+
+    for i, rc_dict in enumerate(dict_list, 1):
+        with matplotlib.rc_context(rc_dict):
+            fig.add_subplot(3, 1, i)
+
+
+def test_rc_tick():
+    d = {'xtick.bottom': False, 'xtick.top': True,
+         'ytick.left': True, 'ytick.right': False}
+    with plt.rc_context(rc=d):
+        fig = plt.figure()
+        ax1 = fig.add_subplot(1, 1, 1)
+        xax = ax1.xaxis
+        yax = ax1.yaxis
+        # tick1On bottom/left
+        assert not xax._major_tick_kw['tick1On']
+        assert xax._major_tick_kw['tick2On']
+        assert not xax._minor_tick_kw['tick1On']
+        assert xax._minor_tick_kw['tick2On']
+
+        assert yax._major_tick_kw['tick1On']
+        assert not yax._major_tick_kw['tick2On']
+        assert yax._minor_tick_kw['tick1On']
+        assert not yax._minor_tick_kw['tick2On']
+
+
+def test_rc_major_minor_tick():
+    d = {'xtick.top': True, 'ytick.right': True,  # Enable all ticks
+         'xtick.bottom': True, 'ytick.left': True,
+         # Selectively disable
+         'xtick.minor.bottom': False, 'xtick.major.bottom': False,
+         'ytick.major.left': False, 'ytick.minor.left': False}
+    with plt.rc_context(rc=d):
+        fig = plt.figure()
+        ax1 = fig.add_subplot(1, 1, 1)
+        xax = ax1.xaxis
+        yax = ax1.yaxis
+        # tick1On bottom/left
+        assert not xax._major_tick_kw['tick1On']
+        assert xax._major_tick_kw['tick2On']
+        assert not xax._minor_tick_kw['tick1On']
+        assert xax._minor_tick_kw['tick2On']
+
+        assert not yax._major_tick_kw['tick1On']
+        assert yax._major_tick_kw['tick2On']
+        assert not yax._minor_tick_kw['tick1On']
+        assert yax._minor_tick_kw['tick2On']
+
+
+def test_square_plot():
+    x = np.arange(4)
+    y = np.array([1., 3., 5., 7.])
+    fig, ax = plt.subplots()
+    ax.plot(x, y, 'mo')
+    ax.axis('square')
+    xlim, ylim = ax.get_xlim(), ax.get_ylim()
+    assert np.diff(xlim) == np.diff(ylim)
+    assert ax.get_aspect() == 1
+    assert_array_almost_equal(
+        ax.get_position(original=True).extents, (0.125, 0.1, 0.9, 0.9))
+    assert_array_almost_equal(
+        ax.get_position(original=False).extents, (0.2125, 0.1, 0.8125, 0.9))
+
+
+def test_bad_plot_args():
+    with pytest.raises(ValueError):
+        plt.plot(None)
+    with pytest.raises(ValueError):
+        plt.plot(None, None)
+    with pytest.raises(ValueError):
+        plt.plot(np.zeros((2, 2)), np.zeros((2, 3)))
+    with pytest.raises(ValueError):
+        plt.plot((np.arange(5).reshape((1, -1)), np.arange(5).reshape(-1, 1)))
+
+
+@pytest.mark.parametrize(
+    "xy, cls", [
+        ((), mpl.image.AxesImage),  # (0, N)
+        (((3, 7), (2, 6)), mpl.image.AxesImage),  # (xmin, xmax)
+        ((range(5), range(4)), mpl.image.AxesImage),  # regular grid
+        (([1, 2, 4, 8, 16], [0, 1, 2, 3]),  # irregular grid
+         mpl.image.PcolorImage),
+        ((np.random.random((4, 5)), np.random.random((4, 5))),  # 2D coords
+         mpl.collections.QuadMesh),
+    ]
+)
+@pytest.mark.parametrize(
+    "data", [np.arange(12).reshape((3, 4)), np.random.rand(3, 4, 3)]
+)
+def test_pcolorfast(xy, data, cls):
+    fig, ax = plt.subplots()
+    assert type(ax.pcolorfast(*xy, data)) == cls
+
+
+def test_pcolorfast_bad_dims():
+    fig, ax = plt.subplots()
+    with pytest.raises(
+            TypeError, match=("the given X was 1D and the given Y was 2D")):
+        ax.pcolorfast(np.empty(6), np.empty((4, 7)), np.empty((8, 8)))
+
+
+def test_pcolorfast_regular_xy_incompatible_size():
+    """
+    Test that the sizes of X, Y, C are compatible for regularly spaced X, Y.
+
+    Note that after the regualar-spacing check, pcolorfast may go into the
+    fast "image" mode, where the individual X, Y positions are not used anymore.
+    Therefore, the algorithm had worked with any regularly number of regularly
+    spaced values, but discarded their values.
+    """
+    fig, ax = plt.subplots()
+    with pytest.raises(
+            ValueError, match=r"Length of X \(5\) must be one larger than the "
+                              r"number of columns in C \(20\)"):
+        ax.pcolorfast(np.arange(5), np.arange(11), np.random.rand(10, 20))
+
+    with pytest.raises(
+            ValueError, match=r"Length of Y \(5\) must be one larger than the "
+                              r"number of rows in C \(10\)"):
+        ax.pcolorfast(np.arange(21), np.arange(5), np.random.rand(10, 20))
+
+
+def test_shared_scale():
+    fig, axs = plt.subplots(2, 2, sharex=True, sharey=True)
+
+    axs[0, 0].set_xscale("log")
+    axs[0, 0].set_yscale("log")
+
+    for ax in axs.flat:
+        assert ax.get_yscale() == 'log'
+        assert ax.get_xscale() == 'log'
+
+    axs[1, 1].set_xscale("linear")
+    axs[1, 1].set_yscale("linear")
+
+    for ax in axs.flat:
+        assert ax.get_yscale() == 'linear'
+        assert ax.get_xscale() == 'linear'
+
+
+def test_shared_bool():
+    with pytest.raises(TypeError):
+        plt.subplot(sharex=True)
+    with pytest.raises(TypeError):
+        plt.subplot(sharey=True)
+
+
+def test_violin_point_mass():
+    """Violin plot should handle point mass pdf gracefully."""
+    plt.violinplot(np.array([0, 0]))
+
+
+def generate_errorbar_inputs():
+    base_xy = cycler('x', [np.arange(5)]) + cycler('y', [np.ones(5)])
+    err_cycler = cycler('err', [1,
+                                [1, 1, 1, 1, 1],
+                                [[1, 1, 1, 1, 1],
+                                 [1, 1, 1, 1, 1]],
+                                np.ones(5),
+                                np.ones((2, 5)),
+                                None
+                                ])
+    xerr_cy = cycler('xerr', err_cycler)
+    yerr_cy = cycler('yerr', err_cycler)
+
+    empty = ((cycler('x', [[]]) + cycler('y', [[]])) *
+             cycler('xerr', [[], None]) * cycler('yerr', [[], None]))
+    xerr_only = base_xy * xerr_cy
+    yerr_only = base_xy * yerr_cy
+    both_err = base_xy * yerr_cy * xerr_cy
+
+    return [*xerr_only, *yerr_only, *both_err, *empty]
+
+
+@pytest.mark.parametrize('kwargs', generate_errorbar_inputs())
+def test_errorbar_inputs_shotgun(kwargs):
+    ax = plt.gca()
+    eb = ax.errorbar(**kwargs)
+    eb.remove()
+
+
+@image_comparison(["dash_offset"], remove_text=True)
+def test_dash_offset():
+    fig, ax = plt.subplots()
+    x = np.linspace(0, 10)
+    y = np.ones_like(x)
+    for j in range(0, 100, 2):
+        ax.plot(x, j*y, ls=(j, (10, 10)), lw=5, color='k')
+
+
+def test_title_pad():
+    # check that title padding puts the title in the right
+    # place...
+    fig, ax = plt.subplots()
+    ax.set_title('aardvark', pad=30.)
+    m = ax.titleOffsetTrans.get_matrix()
+    assert m[1, -1] == (30. / 72. * fig.dpi)
+    ax.set_title('aardvark', pad=0.)
+    m = ax.titleOffsetTrans.get_matrix()
+    assert m[1, -1] == 0.
+    # check that it is reverted...
+    ax.set_title('aardvark', pad=None)
+    m = ax.titleOffsetTrans.get_matrix()
+    assert m[1, -1] == (matplotlib.rcParams['axes.titlepad'] / 72. * fig.dpi)
+
+
+def test_title_location_roundtrip():
+    fig, ax = plt.subplots()
+    # set default title location
+    plt.rcParams['axes.titlelocation'] = 'center'
+    ax.set_title('aardvark')
+    ax.set_title('left', loc='left')
+    ax.set_title('right', loc='right')
+
+    assert 'left' == ax.get_title(loc='left')
+    assert 'right' == ax.get_title(loc='right')
+    assert 'aardvark' == ax.get_title(loc='center')
+
+    with pytest.raises(ValueError):
+        ax.get_title(loc='foo')
+    with pytest.raises(ValueError):
+        ax.set_title('fail', loc='foo')
+
+
+@pytest.mark.parametrize('sharex', [True, False])
+def test_title_location_shared(sharex):
+    fig, axs = plt.subplots(2, 1, sharex=sharex)
+    axs[0].set_title('A', pad=-40)
+    axs[1].set_title('B', pad=-40)
+    fig.draw_without_rendering()
+    x, y1 = axs[0].title.get_position()
+    x, y2 = axs[1].title.get_position()
+    assert y1 == y2 == 1.0
+
+
+@image_comparison(["loglog.png"], remove_text=True, tol=0.02)
+def test_loglog():
+    fig, ax = plt.subplots()
+    x = np.arange(1, 11)
+    ax.loglog(x, x**3, lw=5)
+    ax.tick_params(length=25, width=2)
+    ax.tick_params(length=15, width=2, which='minor')
+
+
+@image_comparison(["test_loglog_nonpos.png"], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.029)
+def test_loglog_nonpos():
+    fig, axs = plt.subplots(3, 3)
+    x = np.arange(1, 11)
+    y = x**3
+    y[7] = -3.
+    x[4] = -10
+    for (mcy, mcx), ax in zip(product(['mask', 'clip', ''], repeat=2),
+                              axs.flat):
+        if mcx == mcy:
+            if mcx:
+                ax.loglog(x, y**3, lw=2, nonpositive=mcx)
+            else:
+                ax.loglog(x, y**3, lw=2)
+        else:
+            ax.loglog(x, y**3, lw=2)
+            if mcx:
+                ax.set_xscale("log", nonpositive=mcx)
+            if mcy:
+                ax.set_yscale("log", nonpositive=mcy)
+        ax.set_yticks([1e3, 1e7])  # Backcompat tick selection.
+
+
+@mpl.style.context('default')
+def test_axes_margins():
+    fig, ax = plt.subplots()
+    ax.plot([0, 1, 2, 3])
+    assert ax.get_ybound()[0] != 0
+
+    fig, ax = plt.subplots()
+    ax.bar([0, 1, 2, 3], [1, 1, 1, 1])
+    assert ax.get_ybound()[0] == 0
+
+    fig, ax = plt.subplots()
+    ax.barh([0, 1, 2, 3], [1, 1, 1, 1])
+    assert ax.get_xbound()[0] == 0
+
+    fig, ax = plt.subplots()
+    ax.pcolor(np.zeros((10, 10)))
+    assert ax.get_xbound() == (0, 10)
+    assert ax.get_ybound() == (0, 10)
+
+    fig, ax = plt.subplots()
+    ax.pcolorfast(np.zeros((10, 10)))
+    assert ax.get_xbound() == (0, 10)
+    assert ax.get_ybound() == (0, 10)
+
+    fig, ax = plt.subplots()
+    ax.hist(np.arange(10))
+    assert ax.get_ybound()[0] == 0
+
+    fig, ax = plt.subplots()
+    ax.imshow(np.zeros((10, 10)))
+    assert ax.get_xbound() == (-0.5, 9.5)
+    assert ax.get_ybound() == (-0.5, 9.5)
+
+
+@pytest.fixture(params=['x', 'y'])
+def shared_axis_remover(request):
+    def _helper_x(ax):
+        ax2 = ax.twinx()
+        ax2.remove()
+        ax.set_xlim(0, 15)
+        r = ax.xaxis.get_major_locator()()
+        assert r[-1] > 14
+
+    def _helper_y(ax):
+        ax2 = ax.twiny()
+        ax2.remove()
+        ax.set_ylim(0, 15)
+        r = ax.yaxis.get_major_locator()()
+        assert r[-1] > 14
+
+    return {"x": _helper_x, "y": _helper_y}[request.param]
+
+
+@pytest.fixture(params=['gca', 'subplots', 'subplots_shared', 'add_axes'])
+def shared_axes_generator(request):
+    # test all of the ways to get fig/ax sets
+    if request.param == 'gca':
+        fig = plt.figure()
+        ax = fig.gca()
+    elif request.param == 'subplots':
+        fig, ax = plt.subplots()
+    elif request.param == 'subplots_shared':
+        fig, ax_lst = plt.subplots(2, 2, sharex='all', sharey='all')
+        ax = ax_lst[0][0]
+    elif request.param == 'add_axes':
+        fig = plt.figure()
+        ax = fig.add_axes([.1, .1, .8, .8])
+    return fig, ax
+
+
+def test_remove_shared_axes(shared_axes_generator, shared_axis_remover):
+    # test all of the ways to get fig/ax sets
+    fig, ax = shared_axes_generator
+    shared_axis_remover(ax)
+
+
+def test_remove_shared_axes_relim():
+    fig, ax_lst = plt.subplots(2, 2, sharex='all', sharey='all')
+    ax = ax_lst[0][0]
+    orig_xlim = ax_lst[0][1].get_xlim()
+    ax.remove()
+    ax.set_xlim(0, 5)
+    assert_array_equal(ax_lst[0][1].get_xlim(), orig_xlim)
+
+
+def test_shared_axes_autoscale():
+    l = np.arange(-80, 90, 40)
+    t = np.random.random_sample((l.size, l.size))
+
+    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, sharey=True)
+
+    ax1.set_xlim(-1000, 1000)
+    ax1.set_ylim(-1000, 1000)
+    ax1.contour(l, l, t)
+
+    ax2.contour(l, l, t)
+    assert not ax1.get_autoscalex_on() and not ax2.get_autoscalex_on()
+    assert not ax1.get_autoscaley_on() and not ax2.get_autoscaley_on()
+    assert ax1.get_xlim() == ax2.get_xlim() == (-1000, 1000)
+    assert ax1.get_ylim() == ax2.get_ylim() == (-1000, 1000)
+
+
+def test_adjust_numtick_aspect():
+    fig, ax = plt.subplots()
+    ax.yaxis.get_major_locator().set_params(nbins='auto')
+    ax.set_xlim(0, 1000)
+    ax.set_aspect('equal')
+    fig.canvas.draw()
+    assert len(ax.yaxis.get_major_locator()()) == 2
+    ax.set_ylim(0, 1000)
+    fig.canvas.draw()
+    assert len(ax.yaxis.get_major_locator()()) > 2
+
+
+@mpl.style.context("default")
+def test_auto_numticks():
+    axs = plt.figure().subplots(4, 4)
+    for ax in axs.flat:  # Tiny, empty subplots have only 3 ticks.
+        assert [*ax.get_xticks()] == [*ax.get_yticks()] == [0, 0.5, 1]
+
+
+@mpl.style.context("default")
+def test_auto_numticks_log():
+    # Verify that there are not too many ticks with a large log range.
+    fig, ax = plt.subplots()
+    mpl.rcParams['axes.autolimit_mode'] = 'round_numbers'
+    ax.loglog([1e-20, 1e5], [1e-16, 10])
+    assert_array_equal(np.log10(ax.get_xticks()), np.arange(-26, 11, 4))
+    assert_array_equal(np.log10(ax.get_yticks()), np.arange(-20, 5, 3))
+
+
+def test_broken_barh_empty():
+    fig, ax = plt.subplots()
+    ax.broken_barh([], (.1, .5))
+
+
+def test_broken_barh_timedelta():
+    """Check that timedelta works as x, dx pair for this method."""
+    fig, ax = plt.subplots()
+    d0 = datetime.datetime(2018, 11, 9, 0, 0, 0)
+    pp = ax.broken_barh([(d0, datetime.timedelta(hours=1))], [1, 2])
+    assert pp.get_paths()[0].vertices[0, 0] == mdates.date2num(d0)
+    assert pp.get_paths()[0].vertices[2, 0] == mdates.date2num(d0) + 1 / 24
+
+
+def test_pandas_pcolormesh(pd):
+    time = pd.date_range('2000-01-01', periods=10)
+    depth = np.arange(20)
+    data = np.random.rand(19, 9)
+
+    fig, ax = plt.subplots()
+    ax.pcolormesh(time, depth, data)
+
+
+def test_pandas_indexing_dates(pd):
+    dates = np.arange('2005-02', '2005-03', dtype='datetime64[D]')
+    values = np.sin(range(len(dates)))
+    df = pd.DataFrame({'dates': dates, 'values': values})
+
+    ax = plt.gca()
+
+    without_zero_index = df[np.array(df.index) % 2 == 1].copy()
+    ax.plot('dates', 'values', data=without_zero_index)
+
+
+def test_pandas_errorbar_indexing(pd):
+    df = pd.DataFrame(np.random.uniform(size=(5, 4)),
+                      columns=['x', 'y', 'xe', 'ye'],
+                      index=[1, 2, 3, 4, 5])
+    fig, ax = plt.subplots()
+    ax.errorbar('x', 'y', xerr='xe', yerr='ye', data=df)
+
+
+def test_pandas_index_shape(pd):
+    df = pd.DataFrame({"XX": [4, 5, 6], "YY": [7, 1, 2]})
+    fig, ax = plt.subplots()
+    ax.plot(df.index, df['YY'])
+
+
+def test_pandas_indexing_hist(pd):
+    ser_1 = pd.Series(data=[1, 2, 2, 3, 3, 4, 4, 4, 4, 5])
+    ser_2 = ser_1.iloc[1:]
+    fig, ax = plt.subplots()
+    ax.hist(ser_2)
+
+
+def test_pandas_bar_align_center(pd):
+    # Tests fix for issue 8767
+    df = pd.DataFrame({'a': range(2), 'b': range(2)})
+
+    fig, ax = plt.subplots(1)
+
+    ax.bar(df.loc[df['a'] == 1, 'b'],
+           df.loc[df['a'] == 1, 'b'],
+           align='center')
+
+    fig.canvas.draw()
+
+
+def test_axis_get_tick_params():
+    axis = plt.subplot().yaxis
+    initial_major_style_translated = {**axis.get_tick_params(which='major')}
+    initial_minor_style_translated = {**axis.get_tick_params(which='minor')}
+
+    translated_major_kw = axis._translate_tick_params(
+        axis._major_tick_kw, reverse=True
+    )
+    translated_minor_kw = axis._translate_tick_params(
+        axis._minor_tick_kw, reverse=True
+    )
+
+    assert translated_major_kw == initial_major_style_translated
+    assert translated_minor_kw == initial_minor_style_translated
+    axis.set_tick_params(labelsize=30, labelcolor='red',
+                         direction='out', which='both')
+
+    new_major_style_translated = {**axis.get_tick_params(which='major')}
+    new_minor_style_translated = {**axis.get_tick_params(which='minor')}
+    new_major_style = axis._translate_tick_params(new_major_style_translated)
+    new_minor_style = axis._translate_tick_params(new_minor_style_translated)
+    assert initial_major_style_translated != new_major_style_translated
+    assert axis._major_tick_kw == new_major_style
+    assert initial_minor_style_translated != new_minor_style_translated
+    assert axis._minor_tick_kw == new_minor_style
+
+
+def test_axis_set_tick_params_labelsize_labelcolor():
+    # Tests fix for issue 4346
+    axis_1 = plt.subplot()
+    axis_1.yaxis.set_tick_params(labelsize=30, labelcolor='red',
+                                 direction='out')
+
+    # Expected values after setting the ticks
+    assert axis_1.yaxis.majorTicks[0]._size == 4.0
+    assert axis_1.yaxis.majorTicks[0].tick1line.get_color() == 'k'
+    assert axis_1.yaxis.majorTicks[0].label1.get_size() == 30.0
+    assert axis_1.yaxis.majorTicks[0].label1.get_color() == 'red'
+
+
+def test_axes_tick_params_gridlines():
+    # Now treating grid params like other Tick params
+    ax = plt.subplot()
+    ax.tick_params(grid_color='b', grid_linewidth=5, grid_alpha=0.5,
+                   grid_linestyle='dashdot')
+    for axis in ax.xaxis, ax.yaxis:
+        assert axis.majorTicks[0].gridline.get_color() == 'b'
+        assert axis.majorTicks[0].gridline.get_linewidth() == 5
+        assert axis.majorTicks[0].gridline.get_alpha() == 0.5
+        assert axis.majorTicks[0].gridline.get_linestyle() == '-.'
+
+
+def test_axes_tick_params_ylabelside():
+    # Tests fix for issue 10267
+    ax = plt.subplot()
+    ax.tick_params(labelleft=False, labelright=True,
+                   which='major')
+    ax.tick_params(labelleft=False, labelright=True,
+                   which='minor')
+    # expects left false, right true
+    assert ax.yaxis.majorTicks[0].label1.get_visible() is False
+    assert ax.yaxis.majorTicks[0].label2.get_visible() is True
+    assert ax.yaxis.minorTicks[0].label1.get_visible() is False
+    assert ax.yaxis.minorTicks[0].label2.get_visible() is True
+
+
+def test_axes_tick_params_xlabelside():
+    # Tests fix for issue 10267
+    ax = plt.subplot()
+    ax.tick_params(labeltop=True, labelbottom=False,
+                   which='major')
+    ax.tick_params(labeltop=True, labelbottom=False,
+                   which='minor')
+    # expects top True, bottom False
+    # label1.get_visible() mapped to labelbottom
+    # label2.get_visible() mapped to labeltop
+    assert ax.xaxis.majorTicks[0].label1.get_visible() is False
+    assert ax.xaxis.majorTicks[0].label2.get_visible() is True
+    assert ax.xaxis.minorTicks[0].label1.get_visible() is False
+    assert ax.xaxis.minorTicks[0].label2.get_visible() is True
+
+
+def test_none_kwargs():
+    ax = plt.figure().subplots()
+    ln, = ax.plot(range(32), linestyle=None)
+    assert ln.get_linestyle() == '-'
+
+
+def test_bar_uint8():
+    xs = [0, 1, 2, 3]
+    b = plt.bar(np.array(xs, dtype=np.uint8), [2, 3, 4, 5], align="edge")
+    for (patch, x) in zip(b.patches, xs):
+        assert patch.xy[0] == x
+
+
+@image_comparison(['axisbelow.png'], remove_text=True)
+def test_axisbelow():
+    # Test 'line' setting added in 6287.
+    # Show only grids, not frame or ticks, to make this test
+    # independent of future change to drawing order of those elements.
+    axs = plt.figure().subplots(ncols=3, sharex=True, sharey=True)
+    settings = (False, 'line', True)
+
+    for ax, setting in zip(axs, settings):
+        ax.plot((0, 10), (0, 10), lw=10, color='m')
+        circ = mpatches.Circle((3, 3), color='r')
+        ax.add_patch(circ)
+        ax.grid(color='c', linestyle='-', linewidth=3)
+        ax.tick_params(top=False, bottom=False,
+                       left=False, right=False)
+        ax.spines[:].set_visible(False)
+        ax.set_axisbelow(setting)
+        assert ax.get_axisbelow() == setting
+
+
+def test_titletwiny():
+    plt.style.use('mpl20')
+    fig, ax = plt.subplots(dpi=72)
+    ax2 = ax.twiny()
+    xlabel2 = ax2.set_xlabel('Xlabel2')
+    title = ax.set_title('Title')
+    fig.canvas.draw()
+    renderer = fig.canvas.get_renderer()
+    # ------- Test that title is put above Xlabel2 (Xlabel2 at top) ----------
+    bbox_y0_title = title.get_window_extent(renderer).y0  # bottom of title
+    bbox_y1_xlabel2 = xlabel2.get_window_extent(renderer).y1  # top of xlabel2
+    y_diff = bbox_y0_title - bbox_y1_xlabel2
+    assert np.isclose(y_diff, 3)
+
+
+def test_titlesetpos():
+    # Test that title stays put if we set it manually
+    fig, ax = plt.subplots()
+    fig.subplots_adjust(top=0.8)
+    ax2 = ax.twiny()
+    ax.set_xlabel('Xlabel')
+    ax2.set_xlabel('Xlabel2')
+    ax.set_title('Title')
+    pos = (0.5, 1.11)
+    ax.title.set_position(pos)
+    renderer = fig.canvas.get_renderer()
+    ax._update_title_position(renderer)
+    assert ax.title.get_position() == pos
+
+
+def test_title_xticks_top():
+    # Test that title moves if xticks on top of axes.
+    mpl.rcParams['axes.titley'] = None
+    fig, ax = plt.subplots()
+    ax.xaxis.set_ticks_position('top')
+    ax.set_title('xlabel top')
+    fig.canvas.draw()
+    assert ax.title.get_position()[1] > 1.04
+
+
+def test_title_xticks_top_both():
+    # Test that title moves if xticks on top of axes.
+    mpl.rcParams['axes.titley'] = None
+    fig, ax = plt.subplots()
+    ax.tick_params(axis="x",
+                   bottom=True, top=True, labelbottom=True, labeltop=True)
+    ax.set_title('xlabel top')
+    fig.canvas.draw()
+    assert ax.title.get_position()[1] > 1.04
+
+
+@pytest.mark.parametrize(
+    'left, center', [
+        ('left', ''),
+        ('', 'center'),
+        ('left', 'center')
+    ], ids=[
+        'left title moved',
+        'center title kept',
+        'both titles aligned'
+    ]
+)
+def test_title_above_offset(left, center):
+    # Test that title moves if overlaps with yaxis offset text.
+    mpl.rcParams['axes.titley'] = None
+    fig, ax = plt.subplots()
+    ax.set_ylim(1e11)
+    ax.set_title(left, loc='left')
+    ax.set_title(center)
+    fig.draw_without_rendering()
+    if left and not center:
+        assert ax._left_title.get_position()[1] > 1.0
+    elif not left and center:
+        assert ax.title.get_position()[1] == 1.0
+    else:
+        yleft = ax._left_title.get_position()[1]
+        ycenter = ax.title.get_position()[1]
+        assert yleft > 1.0
+        assert ycenter == yleft
+
+
+def test_title_no_move_off_page():
+    # If an Axes is off the figure (ie. if it is cropped during a save)
+    # make sure that the automatic title repositioning does not get done.
+    mpl.rcParams['axes.titley'] = None
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, -0.5, 0.8, 0.2])
+    ax.tick_params(axis="x",
+                   bottom=True, top=True, labelbottom=True, labeltop=True)
+    tt = ax.set_title('Boo')
+    fig.canvas.draw()
+    assert tt.get_position()[1] == 1.0
+
+
+def test_title_inset_ax():
+    # Title should be above any child axes
+    mpl.rcParams['axes.titley'] = None
+    fig, ax = plt.subplots()
+    ax.set_title('Title')
+    fig.draw_without_rendering()
+    assert ax.title.get_position()[1] == 1
+    ax.inset_axes([0, 1, 1, 0.1])
+    fig.draw_without_rendering()
+    assert ax.title.get_position()[1] == 1.1
+
+
+def test_offset_label_color():
+    # Tests issue 6440
+    fig, ax = plt.subplots()
+    ax.plot([1.01e9, 1.02e9, 1.03e9])
+    ax.yaxis.set_tick_params(labelcolor='red')
+    assert ax.yaxis.get_offset_text().get_color() == 'red'
+
+
+def test_offset_text_visible():
+    fig, ax = plt.subplots()
+    ax.plot([1.01e9, 1.02e9, 1.03e9])
+    ax.yaxis.set_tick_params(label1On=False, label2On=True)
+    assert ax.yaxis.get_offset_text().get_visible()
+    ax.yaxis.set_tick_params(label2On=False)
+    assert not ax.yaxis.get_offset_text().get_visible()
+
+
+def test_large_offset():
+    fig, ax = plt.subplots()
+    ax.plot((1 + np.array([0, 1.e-12])) * 1.e27)
+    fig.canvas.draw()
+
+
+def test_barb_units():
+    fig, ax = plt.subplots()
+    dates = [datetime.datetime(2017, 7, 15, 18, i) for i in range(0, 60, 10)]
+    y = np.linspace(0, 5, len(dates))
+    u = v = np.linspace(0, 50, len(dates))
+    ax.barbs(dates, y, u, v)
+
+
+def test_quiver_units():
+    fig, ax = plt.subplots()
+    dates = [datetime.datetime(2017, 7, 15, 18, i) for i in range(0, 60, 10)]
+    y = np.linspace(0, 5, len(dates))
+    u = v = np.linspace(0, 50, len(dates))
+    ax.quiver(dates, y, u, v)
+
+
+def test_bar_color_cycle():
+    to_rgb = mcolors.to_rgb
+    fig, ax = plt.subplots()
+    for j in range(5):
+        ln, = ax.plot(range(3))
+        brs = ax.bar(range(3), range(3))
+        for br in brs:
+            assert to_rgb(ln.get_color()) == to_rgb(br.get_facecolor())
+
+
+def test_tick_param_label_rotation():
+    fix, (ax, ax2) = plt.subplots(1, 2)
+    ax.plot([0, 1], [0, 1])
+    ax2.plot([0, 1], [0, 1])
+    ax.xaxis.set_tick_params(which='both', rotation=75)
+    ax.yaxis.set_tick_params(which='both', rotation=90)
+    for text in ax.get_xticklabels(which='both'):
+        assert text.get_rotation() == 75
+        assert text.get_rotation_mode() == 'default'
+    for text in ax.get_yticklabels(which='both'):
+        assert text.get_rotation() == 90
+        assert text.get_rotation_mode() == 'default'
+
+    ax2.tick_params(axis='x', labelrotation=53, labelrotation_mode='xtick')
+    ax2.tick_params(axis='y', rotation=35, rotation_mode='ytick')
+    for text in ax2.get_xticklabels(which='major'):
+        assert text.get_rotation() == 53
+        assert text.get_rotation_mode() == 'xtick'
+    for text in ax2.get_yticklabels(which='major'):
+        assert text.get_rotation() == 35
+        assert text.get_rotation_mode() == 'ytick'
+
+
+@mpl.style.context('default')
+def test_fillbetween_cycle():
+    fig, ax = plt.subplots()
+
+    for j in range(3):
+        cc = ax.fill_between(range(3), range(3))
+        target = mcolors.to_rgba(f'C{j}')
+        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)
+
+    for j in range(3, 6):
+        cc = ax.fill_betweenx(range(3), range(3))
+        target = mcolors.to_rgba(f'C{j}')
+        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)
+
+    target = mcolors.to_rgba('k')
+
+    for al in ['facecolor', 'facecolors', 'color']:
+        cc = ax.fill_between(range(3), range(3), **{al: 'k'})
+        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)
+
+    edge_target = mcolors.to_rgba('k')
+    for j, el in enumerate(['edgecolor', 'edgecolors'], start=6):
+        cc = ax.fill_between(range(3), range(3), **{el: 'k'})
+        face_target = mcolors.to_rgba(f'C{j}')
+        assert tuple(cc.get_facecolors().squeeze()) == tuple(face_target)
+        assert tuple(cc.get_edgecolors().squeeze()) == tuple(edge_target)
+
+
+def test_log_margins():
+    plt.rcParams['axes.autolimit_mode'] = 'data'
+    fig, ax = plt.subplots()
+    margin = 0.05
+    ax.set_xmargin(margin)
+    ax.semilogx([10, 100], [10, 100])
+    xlim0, xlim1 = ax.get_xlim()
+    transform = ax.xaxis.get_transform()
+    xlim0t, xlim1t = transform.transform([xlim0, xlim1])
+    x0t, x1t = transform.transform([10, 100])
+    delta = (x1t - x0t) * margin
+    assert_allclose([xlim0t + delta, xlim1t - delta], [x0t, x1t])
+
+
+def test_color_length_mismatch():
+    N = 5
+    x, y = np.arange(N), np.arange(N)
+    colors = np.arange(N+1)
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.scatter(x, y, c=colors)
+    with pytest.warns(match="argument looks like a single numeric RGB"):
+        ax.scatter(x, y, c=(0.5, 0.5, 0.5))
+    ax.scatter(x, y, c=[(0.5, 0.5, 0.5)] * N)
+
+
+def test_eventplot_legend():
+    plt.eventplot([1.0], label='Label')
+    plt.legend()
+
+
+@pytest.mark.parametrize('err, args, kwargs, match', (
+        (ValueError, [[1]], {'lineoffsets': []}, 'lineoffsets cannot be empty'),
+        (ValueError, [[1]], {'linelengths': []}, 'linelengths cannot be empty'),
+        (ValueError, [[1]], {'linewidths': []}, 'linewidths cannot be empty'),
+        (ValueError, [[1]], {'linestyles': []}, 'linestyles cannot be empty'),
+        (ValueError, [[1]], {'alpha': []}, 'alpha cannot be empty'),
+        (ValueError, [1], {}, 'positions must be one-dimensional'),
+        (ValueError, [[1]], {'lineoffsets': [1, 2]},
+         'lineoffsets and positions are unequal sized sequences'),
+        (ValueError, [[1]], {'linelengths': [1, 2]},
+         'linelengths and positions are unequal sized sequences'),
+        (ValueError, [[1]], {'linewidths': [1, 2]},
+         'linewidths and positions are unequal sized sequences'),
+        (ValueError, [[1]], {'linestyles': [1, 2]},
+         'linestyles and positions are unequal sized sequences'),
+        (ValueError, [[1]], {'alpha': [1, 2]},
+         'alpha and positions are unequal sized sequences'),
+        (ValueError, [[1]], {'colors': [1, 2]},
+         'colors and positions are unequal sized sequences'),
+))
+def test_eventplot_errors(err, args, kwargs, match):
+    with pytest.raises(err, match=match):
+        plt.eventplot(*args, **kwargs)
+
+
+def test_bar_broadcast_args():
+    fig, ax = plt.subplots()
+    # Check that a bar chart with a single height for all bars works.
+    ax.bar(range(4), 1)
+    # Check that a horizontal chart with one width works.
+    ax.barh(0, 1, left=range(4), height=1)
+    # Check that edgecolor gets broadcast.
+    rect1, rect2 = ax.bar([0, 1], [0, 1], edgecolor=(.1, .2, .3, .4))
+    assert rect1.get_edgecolor() == rect2.get_edgecolor() == (.1, .2, .3, .4)
+
+
+def test_invalid_axis_limits():
+    plt.plot([0, 1], [0, 1])
+    with pytest.raises(ValueError):
+        plt.xlim(np.nan)
+    with pytest.raises(ValueError):
+        plt.xlim(np.inf)
+    with pytest.raises(ValueError):
+        plt.ylim(np.nan)
+    with pytest.raises(ValueError):
+        plt.ylim(np.inf)
+
+
+# Test all 4 combinations of logs/symlogs for minorticks_on()
+@pytest.mark.parametrize('xscale', ['symlog', 'log'])
+@pytest.mark.parametrize('yscale', ['symlog', 'log'])
+def test_minorticks_on(xscale, yscale):
+    ax = plt.subplot()
+    ax.plot([1, 2, 3, 4])
+    ax.set_xscale(xscale)
+    ax.set_yscale(yscale)
+    ax.minorticks_on()
+
+
+def test_twinx_knows_limits():
+    fig, ax = plt.subplots()
+
+    ax.axvspan(1, 2)
+    xtwin = ax.twinx()
+    xtwin.plot([0, 0.5], [1, 2])
+    # control axis
+    fig2, ax2 = plt.subplots()
+
+    ax2.axvspan(1, 2)
+    ax2.plot([0, 0.5], [1, 2])
+
+    assert_array_equal(xtwin.viewLim.intervalx, ax2.viewLim.intervalx)
+
+
+class SubclassAxes(Axes):
+    def __init__(self, *args, foo, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.foo = foo
+
+
+def test_twinning_with_axes_class():
+    """Check that twinx/y(axes_class=...) gives the appropriate class."""
+    _, ax = plt.subplots()
+    twinx = ax.twinx(axes_class=SubclassAxes, foo=1)
+    assert isinstance(twinx, SubclassAxes)
+    assert twinx.foo == 1
+    twiny = ax.twiny(axes_class=SubclassAxes, foo=2)
+    assert isinstance(twiny, SubclassAxes)
+    assert twiny.foo == 2
+
+
+def test_twinning_default_axes_class():
+    """
+    Check that the default class for twinx/y() is Axes,
+    even if the original is an Axes subclass.
+    """
+    _, ax = plt.subplots(subplot_kw=dict(axes_class=SubclassAxes, foo=1))
+    twinx = ax.twinx()
+    assert type(twinx) is Axes
+    twiny = ax.twiny()
+    assert type(twiny) is Axes
+
+
+def test_zero_linewidth():
+    # Check that setting a zero linewidth doesn't error
+    plt.plot([0, 1], [0, 1], ls='--', lw=0)
+
+
+def test_empty_errorbar_legend():
+    fig, ax = plt.subplots()
+    ax.errorbar([], [], xerr=[], label='empty y')
+    ax.errorbar([], [], yerr=[], label='empty x')
+    ax.legend()
+
+
+@check_figures_equal()
+def test_plot_decimal(fig_test, fig_ref):
+    x0 = np.arange(-10, 10, 0.3)
+    y0 = [5.2 * x ** 3 - 2.1 * x ** 2 + 7.34 * x + 4.5 for x in x0]
+    x = [Decimal(i) for i in x0]
+    y = [Decimal(i) for i in y0]
+    # Test image - line plot with Decimal input
+    fig_test.subplots().plot(x, y)
+    # Reference image
+    fig_ref.subplots().plot(x0, y0)
+
+
+@check_figures_equal()
+def test_markerfacecolor_none_alpha(fig_test, fig_ref):
+    fig_test.subplots().plot(0, "o", mfc="none", alpha=.5)
+    fig_ref.subplots().plot(0, "o", mfc="w", alpha=.5)
+
+
+def test_tick_padding_tightbbox():
+    """Test that tick padding gets turned off if axis is off"""
+    plt.rcParams["xtick.direction"] = "out"
+    plt.rcParams["ytick.direction"] = "out"
+    fig, ax = plt.subplots()
+    bb = ax.get_tightbbox(fig.canvas.get_renderer())
+    ax.axis('off')
+    bb2 = ax.get_tightbbox(fig.canvas.get_renderer())
+    assert bb.x0 < bb2.x0
+    assert bb.y0 < bb2.y0
+
+
+def test_inset():
+    """
+    Ensure that inset_ax argument is indeed optional
+    """
+    dx, dy = 0.05, 0.05
+    # generate 2 2d grids for the x & y bounds
+    y, x = np.mgrid[slice(1, 5 + dy, dy),
+                    slice(1, 5 + dx, dx)]
+    z = np.sin(x) ** 10 + np.cos(10 + y * x) * np.cos(x)
+
+    fig, ax = plt.subplots()
+    ax.pcolormesh(x, y, z[:-1, :-1])
+    ax.set_aspect(1.)
+    ax.apply_aspect()
+    # we need to apply_aspect to make the drawing below work.
+
+    xlim = [1.5, 2.15]
+    ylim = [2, 2.5]
+
+    rect = [xlim[0], ylim[0], xlim[1] - xlim[0], ylim[1] - ylim[0]]
+
+    inset = ax.indicate_inset(bounds=rect)
+    assert inset.connectors is None
+    fig.canvas.draw()
+    xx = np.array([[1.5, 2.],
+                   [2.15, 2.5]])
+    assert np.all(inset.rectangle.get_bbox().get_points() == xx)
+
+
+def test_zoom_inset():
+    dx, dy = 0.05, 0.05
+    # generate 2 2d grids for the x & y bounds
+    y, x = np.mgrid[slice(1, 5 + dy, dy),
+                    slice(1, 5 + dx, dx)]
+    z = np.sin(x)**10 + np.cos(10 + y*x) * np.cos(x)
+
+    fig, ax = plt.subplots()
+    ax.pcolormesh(x, y, z[:-1, :-1])
+    ax.set_aspect(1.)
+    ax.apply_aspect()
+    # we need to apply_aspect to make the drawing below work.
+
+    # Make the inset_axes...  Position axes coordinates...
+    axin1 = ax.inset_axes([0.7, 0.7, 0.35, 0.35])
+    # redraw the data in the inset axes...
+    axin1.pcolormesh(x, y, z[:-1, :-1])
+    axin1.set_xlim([1.5, 2.15])
+    axin1.set_ylim([2, 2.5])
+    axin1.set_aspect(ax.get_aspect())
+
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        rec, connectors = ax.indicate_inset_zoom(axin1)
+    fig.canvas.draw()
+    assert len(connectors) == 4
+    xx = np.array([[1.5,  2.],
+                   [2.15, 2.5]])
+    assert np.all(rec.get_bbox().get_points() == xx)
+    xx = np.array([[0.6325, 0.692308],
+                   [0.8425, 0.907692]])
+    np.testing.assert_allclose(
+        axin1.get_position().get_points(), xx, rtol=1e-4)
+
+
+@image_comparison(['inset_polar.png'], remove_text=True, style='mpl20')
+def test_inset_polar():
+    _, ax = plt.subplots()
+    axins = ax.inset_axes([0.5, 0.1, 0.45, 0.45], polar=True)
+    assert isinstance(axins, PolarAxes)
+
+    r = np.arange(0, 2, 0.01)
+    theta = 2 * np.pi * r
+
+    ax.plot(theta, r)
+    axins.plot(theta, r)
+
+
+def test_inset_projection():
+    _, ax = plt.subplots()
+    axins = ax.inset_axes([0.2, 0.2, 0.3, 0.3], projection="hammer")
+    assert isinstance(axins, HammerAxes)
+
+
+def test_inset_subclass():
+    _, ax = plt.subplots()
+    axins = ax.inset_axes([0.2, 0.2, 0.3, 0.3], axes_class=AA.Axes)
+    assert isinstance(axins, AA.Axes)
+
+
+@pytest.mark.parametrize('x_inverted', [False, True])
+@pytest.mark.parametrize('y_inverted', [False, True])
+def test_indicate_inset_inverted(x_inverted, y_inverted):
+    """
+    Test that the inset lines are correctly located with inverted data axes.
+    """
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+
+    x = np.arange(10)
+    ax1.plot(x, x, 'o')
+    if x_inverted:
+        ax1.invert_xaxis()
+    if y_inverted:
+        ax1.invert_yaxis()
+
+    inset = ax1.indicate_inset([2, 2, 5, 4], ax2)
+    lower_left, upper_left, lower_right, upper_right = inset.connectors
+
+    sign_x = -1 if x_inverted else 1
+    sign_y = -1 if y_inverted else 1
+    assert sign_x * (lower_right.xy2[0] - lower_left.xy2[0]) > 0
+    assert sign_x * (upper_right.xy2[0] - upper_left.xy2[0]) > 0
+    assert sign_y * (upper_left.xy2[1] - lower_left.xy2[1]) > 0
+    assert sign_y * (upper_right.xy2[1] - lower_right.xy2[1]) > 0
+
+
+def test_set_position():
+    fig, ax = plt.subplots()
+    ax.set_aspect(3.)
+    ax.set_position([0.1, 0.1, 0.4, 0.4], which='both')
+    assert np.allclose(ax.get_position().width, 0.1)
+    ax.set_aspect(2.)
+    ax.set_position([0.1, 0.1, 0.4, 0.4], which='original')
+    assert np.allclose(ax.get_position().width, 0.15)
+    ax.set_aspect(3.)
+    ax.set_position([0.1, 0.1, 0.4, 0.4], which='active')
+    assert np.allclose(ax.get_position().width, 0.1)
+
+
+def test_spines_properbbox_after_zoom():
+    fig, ax = plt.subplots()
+    bb = ax.spines.bottom.get_window_extent(fig.canvas.get_renderer())
+    # this is what zoom calls:
+    ax._set_view_from_bbox((320, 320, 500, 500), 'in',
+                           None, False, False)
+    bb2 = ax.spines.bottom.get_window_extent(fig.canvas.get_renderer())
+    np.testing.assert_allclose(bb.get_points(), bb2.get_points(), rtol=1e-6)
+
+
+def test_limits_after_scroll_zoom():
+    fig, ax = plt.subplots()
+    #
+    xlim = (-0.5, 0.5)
+    ylim = (-1, 2)
+    ax.set_xlim(xlim)
+    ax.set_ylim(ymin=ylim[0], ymax=ylim[1])
+    # This is what scroll zoom calls:
+    # Zoom with factor 1, small numerical change
+    ax._set_view_from_bbox((200, 200, 1.))
+    np.testing.assert_allclose(xlim, ax.get_xlim(), atol=1e-16)
+    np.testing.assert_allclose(ylim, ax.get_ylim(), atol=1e-16)
+
+    # Zoom in
+    ax._set_view_from_bbox((200, 200, 2.))
+    # Hard-coded values
+    new_xlim = (-0.3790322580645161, 0.12096774193548387)
+    new_ylim = (-0.40625, 1.09375)
+
+    res_xlim = ax.get_xlim()
+    res_ylim = ax.get_ylim()
+    np.testing.assert_allclose(res_xlim[1] - res_xlim[0], 0.5)
+    np.testing.assert_allclose(res_ylim[1] - res_ylim[0], 1.5)
+    np.testing.assert_allclose(new_xlim, res_xlim, atol=1e-16)
+    np.testing.assert_allclose(new_ylim, res_ylim)
+
+    # Zoom out, should be same as before, except for numerical issues
+    ax._set_view_from_bbox((200, 200, 0.5))
+    res_xlim = ax.get_xlim()
+    res_ylim = ax.get_ylim()
+    np.testing.assert_allclose(res_xlim[1] - res_xlim[0], 1)
+    np.testing.assert_allclose(res_ylim[1] - res_ylim[0], 3)
+    np.testing.assert_allclose(xlim, res_xlim, atol=1e-16)
+    np.testing.assert_allclose(ylim, res_ylim, atol=1e-16)
+
+
+def test_gettightbbox_ignore_nan():
+    fig, ax = plt.subplots()
+    remove_ticks_and_titles(fig)
+    ax.text(np.nan, 1, 'Boo')
+    renderer = fig.canvas.get_renderer()
+    np.testing.assert_allclose(ax.get_tightbbox(renderer).width, 496)
+
+
+def test_scatter_series_non_zero_index(pd):
+    # create non-zero index
+    ids = range(10, 18)
+    x = pd.Series(np.random.uniform(size=8), index=ids)
+    y = pd.Series(np.random.uniform(size=8), index=ids)
+    c = pd.Series([1, 1, 1, 1, 1, 0, 0, 0], index=ids)
+    plt.scatter(x, y, c)
+
+
+def test_scatter_empty_data():
+    # making sure this does not raise an exception
+    plt.scatter([], [])
+    plt.scatter([], [], s=[], c=[])
+
+
+@image_comparison(['annotate_across_transforms.png'], style='mpl20', remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.025)
+def test_annotate_across_transforms():
+    x = np.linspace(0, 10, 200)
+    y = np.exp(-x) * np.sin(x)
+
+    fig, ax = plt.subplots(figsize=(3.39, 3))
+    ax.plot(x, y)
+    axins = ax.inset_axes([0.4, 0.5, 0.3, 0.3])
+    axins.set_aspect(0.2)
+    axins.xaxis.set_visible(False)
+    axins.yaxis.set_visible(False)
+    ax.annotate("", xy=(x[150], y[150]), xycoords=ax.transData,
+                xytext=(1, 0), textcoords=axins.transAxes,
+                arrowprops=dict(arrowstyle="->"))
+
+
+class _Translation(mtransforms.Transform):
+    input_dims = 1
+    output_dims = 1
+
+    def __init__(self, dx):
+        self.dx = dx
+
+    def transform(self, values):
+        return values + self.dx
+
+    def inverted(self):
+        return _Translation(-self.dx)
+
+
+@image_comparison(['secondary_xy.png'], style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.027)
+def test_secondary_xy():
+    fig, axs = plt.subplots(1, 2, figsize=(10, 5), constrained_layout=True)
+
+    def invert(x):
+        with np.errstate(divide='ignore'):
+            return 1 / x
+
+    for nn, ax in enumerate(axs):
+        ax.plot(np.arange(2, 11), np.arange(2, 11))
+        if nn == 0:
+            secax = ax.secondary_xaxis
+        else:
+            secax = ax.secondary_yaxis
+
+        secax(0.2, functions=(invert, invert))
+        secax(0.4, functions=(lambda x: 2 * x, lambda x: x / 2))
+        secax(0.6, functions=(lambda x: x**2, lambda x: x**(1/2)))
+        secax(0.8)
+        secax("top" if nn == 0 else "right", functions=_Translation(2))
+        secax(6.25, transform=ax.transData)
+
+
+def test_secondary_fail():
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(2, 11), np.arange(2, 11))
+    with pytest.raises(ValueError):
+        ax.secondary_xaxis(0.2, functions=(lambda x: 1 / x))
+    with pytest.raises(ValueError):
+        ax.secondary_xaxis('right')
+    with pytest.raises(ValueError):
+        ax.secondary_yaxis('bottom')
+    with pytest.raises(TypeError):
+        ax.secondary_xaxis(0.2, transform='error')
+
+
+def test_secondary_resize():
+    fig, ax = plt.subplots(figsize=(10, 5))
+    ax.plot(np.arange(2, 11), np.arange(2, 11))
+
+    def invert(x):
+        with np.errstate(divide='ignore'):
+            return 1 / x
+
+    ax.secondary_xaxis('top', functions=(invert, invert))
+    fig.canvas.draw()
+    fig.set_size_inches((7, 4))
+    assert_allclose(ax.get_position().extents, [0.125, 0.1, 0.9, 0.9])
+
+
+def test_secondary_minorloc():
+    fig, ax = plt.subplots(figsize=(10, 5))
+    ax.plot(np.arange(2, 11), np.arange(2, 11))
+
+    def invert(x):
+        with np.errstate(divide='ignore'):
+            return 1 / x
+
+    secax = ax.secondary_xaxis('top', functions=(invert, invert))
+    assert isinstance(secax._axis.get_minor_locator(),
+                      mticker.NullLocator)
+    secax.minorticks_on()
+    assert isinstance(secax._axis.get_minor_locator(),
+                      mticker.AutoMinorLocator)
+    ax.set_xscale('log')
+    plt.draw()
+    assert isinstance(secax._axis.get_minor_locator(),
+                      mticker.LogLocator)
+    ax.set_xscale('linear')
+    plt.draw()
+    assert isinstance(secax._axis.get_minor_locator(),
+                      mticker.NullLocator)
+
+
+def test_secondary_formatter():
+    fig, ax = plt.subplots()
+    ax.set_xscale("log")
+    secax = ax.secondary_xaxis("top")
+    secax.xaxis.set_major_formatter(mticker.ScalarFormatter())
+    fig.canvas.draw()
+    assert isinstance(
+        secax.xaxis.get_major_formatter(), mticker.ScalarFormatter)
+
+
+def test_secondary_repr():
+    fig, ax = plt.subplots()
+    secax = ax.secondary_xaxis("top")
+    assert repr(secax) == '<SecondaryAxis: >'
+
+
+@image_comparison(['axis_options.png'], remove_text=True, style='mpl20')
+def test_axis_options():
+    fig, axes = plt.subplots(2, 3)
+    for i, option in enumerate(('scaled', 'tight', 'image')):
+        # Draw a line and a circle fitting within the boundaries of the line
+        # The circle should look like a circle for 'scaled' and 'image'
+        # High/narrow aspect ratio
+        axes[0, i].plot((1, 2), (1, 3.2))
+        axes[0, i].axis(option)
+        axes[0, i].add_artist(mpatches.Circle((1.5, 1.5), radius=0.5,
+                                              facecolor='none', edgecolor='k'))
+        # Low/wide aspect ratio
+        axes[1, i].plot((1, 2.25), (1, 1.75))
+        axes[1, i].axis(option)
+        axes[1, i].add_artist(mpatches.Circle((1.5, 1.25), radius=0.25,
+                                              facecolor='none', edgecolor='k'))
+
+
+def color_boxes(fig, ax):
+    """
+    Helper for the tests below that test the extents of various Axes elements
+    """
+    fig.canvas.draw()
+
+    renderer = fig.canvas.get_renderer()
+    bbaxis = []
+    for nn, axx in enumerate([ax.xaxis, ax.yaxis]):
+        bb = axx.get_tightbbox(renderer)
+        if bb:
+            axisr = mpatches.Rectangle(
+                (bb.x0, bb.y0), width=bb.width, height=bb.height,
+                linewidth=0.7, edgecolor='y', facecolor="none", transform=None,
+                zorder=3)
+            fig.add_artist(axisr)
+        bbaxis += [bb]
+
+    bbspines = []
+    for nn, a in enumerate(['bottom', 'top', 'left', 'right']):
+        bb = ax.spines[a].get_window_extent(renderer)
+        spiner = mpatches.Rectangle(
+            (bb.x0, bb.y0), width=bb.width, height=bb.height,
+            linewidth=0.7, edgecolor="green", facecolor="none", transform=None,
+            zorder=3)
+        fig.add_artist(spiner)
+        bbspines += [bb]
+
+    bb = ax.get_window_extent()
+    rect2 = mpatches.Rectangle(
+        (bb.x0, bb.y0), width=bb.width, height=bb.height,
+        linewidth=1.5, edgecolor="magenta", facecolor="none", transform=None,
+        zorder=2)
+    fig.add_artist(rect2)
+    bbax = bb
+
+    bb2 = ax.get_tightbbox(renderer)
+    rect2 = mpatches.Rectangle(
+        (bb2.x0, bb2.y0), width=bb2.width, height=bb2.height,
+        linewidth=3, edgecolor="red", facecolor="none", transform=None,
+        zorder=1)
+    fig.add_artist(rect2)
+    bbtb = bb2
+    return bbaxis, bbspines, bbax, bbtb
+
+
+def test_normal_axes():
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+        fig.canvas.draw()
+        plt.close(fig)
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+
+    # test the axis bboxes
+    target = [
+        [123.375, 75.88888888888886, 983.25, 33.0],
+        [85.51388888888889, 99.99999999999997, 53.375, 993.0]
+    ]
+    for nn, b in enumerate(bbaxis):
+        targetbb = mtransforms.Bbox.from_bounds(*target[nn])
+        assert_array_almost_equal(b.bounds, targetbb.bounds, decimal=2)
+
+    target = [
+        [150.0, 119.999, 930.0, 11.111],
+        [150.0, 1080.0, 930.0, 0.0],
+        [150.0, 119.9999, 11.111, 960.0],
+        [1068.8888, 119.9999, 11.111, 960.0]
+    ]
+    for nn, b in enumerate(bbspines):
+        targetbb = mtransforms.Bbox.from_bounds(*target[nn])
+        assert_array_almost_equal(b.bounds, targetbb.bounds, decimal=2)
+
+    target = [150.0, 119.99999999999997, 930.0, 960.0]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_array_almost_equal(bbax.bounds, targetbb.bounds, decimal=2)
+
+    target = [85.5138, 75.88888, 1021.11, 1017.11]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_array_almost_equal(bbtb.bounds, targetbb.bounds, decimal=2)
+
+    # test that get_position roundtrips to get_window_extent
+    axbb = ax.get_position().transformed(fig.transFigure).bounds
+    assert_array_almost_equal(axbb, ax.get_window_extent().bounds, decimal=2)
+
+
+def test_nodecorator():
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+        fig.canvas.draw()
+        ax.set(xticklabels=[], yticklabels=[])
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+
+    # test the axis bboxes
+    for nn, b in enumerate(bbaxis):
+        assert b is None
+
+    target = [
+        [150.0, 119.999, 930.0, 11.111],
+        [150.0, 1080.0, 930.0, 0.0],
+        [150.0, 119.9999, 11.111, 960.0],
+        [1068.8888, 119.9999, 11.111, 960.0]
+    ]
+    for nn, b in enumerate(bbspines):
+        targetbb = mtransforms.Bbox.from_bounds(*target[nn])
+        assert_allclose(b.bounds, targetbb.bounds, atol=1e-2)
+
+    target = [150.0, 119.99999999999997, 930.0, 960.0]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_allclose(bbax.bounds, targetbb.bounds, atol=1e-2)
+
+    target = [150., 120., 930., 960.]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_allclose(bbtb.bounds, targetbb.bounds, atol=1e-2)
+
+
+def test_displaced_spine():
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+        ax.set(xticklabels=[], yticklabels=[])
+        ax.spines.bottom.set_position(('axes', -0.1))
+        fig.canvas.draw()
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+
+    targets = [
+        [150., 24., 930., 11.111111],
+        [150.0, 1080.0, 930.0, 0.0],
+        [150.0, 119.9999, 11.111, 960.0],
+        [1068.8888, 119.9999, 11.111, 960.0]
+    ]
+    for target, bbspine in zip(targets, bbspines):
+        targetbb = mtransforms.Bbox.from_bounds(*target)
+        assert_allclose(bbspine.bounds, targetbb.bounds, atol=1e-2)
+
+    target = [150.0, 119.99999999999997, 930.0, 960.0]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_allclose(bbax.bounds, targetbb.bounds, atol=1e-2)
+
+    target = [150., 24., 930., 1056.]
+    targetbb = mtransforms.Bbox.from_bounds(*target)
+    assert_allclose(bbtb.bounds, targetbb.bounds, atol=1e-2)
+
+
+def test_tickdirs():
+    """
+    Switch the tickdirs and make sure the bboxes switch with them
+    """
+    targets = [[[150.0, 120.0, 930.0, 11.1111],
+                [150.0, 120.0, 11.111, 960.0]],
+               [[150.0, 108.8889, 930.0, 11.111111111111114],
+                [138.889, 120, 11.111, 960.0]],
+               [[150.0, 114.44444444444441, 930.0, 11.111111111111114],
+                [144.44444444444446, 119.999, 11.111, 960.0]]]
+    for dnum, dirs in enumerate(['in', 'out', 'inout']):
+        with rc_context({'_internal.classic_mode': False}):
+            fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+            ax.tick_params(direction=dirs)
+            fig.canvas.draw()
+            bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+            for nn, num in enumerate([0, 2]):
+                targetbb = mtransforms.Bbox.from_bounds(*targets[dnum][nn])
+                assert_allclose(
+                    bbspines[num].bounds, targetbb.bounds, atol=1e-2)
+
+
+def test_minor_accountedfor():
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+        fig.canvas.draw()
+        ax.tick_params(which='both', direction='out')
+
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+        targets = [[150.0, 108.88888888888886, 930.0, 11.111111111111114],
+                   [138.8889, 119.9999, 11.1111, 960.0]]
+        for n in range(2):
+            targetbb = mtransforms.Bbox.from_bounds(*targets[n])
+            assert_allclose(
+                bbspines[n * 2].bounds, targetbb.bounds, atol=1e-2)
+
+        fig, ax = plt.subplots(dpi=200, figsize=(6, 6))
+        fig.canvas.draw()
+        ax.tick_params(which='both', direction='out')
+        ax.minorticks_on()
+        ax.tick_params(axis='both', which='minor', length=30)
+        fig.canvas.draw()
+        bbaxis, bbspines, bbax, bbtb = color_boxes(fig, ax)
+        targets = [[150.0, 36.66666666666663, 930.0, 83.33333333333334],
+                   [66.6667, 120.0, 83.3333, 960.0]]
+
+        for n in range(2):
+            targetbb = mtransforms.Bbox.from_bounds(*targets[n])
+            assert_allclose(
+                bbspines[n * 2].bounds, targetbb.bounds, atol=1e-2)
+
+
+@check_figures_equal()
+def test_axis_bool_arguments(fig_test, fig_ref):
+    # Test if False and "off" give the same
+    fig_test.add_subplot(211).axis(False)
+    fig_ref.add_subplot(211).axis("off")
+    # Test if True after False gives the same as "on"
+    ax = fig_test.add_subplot(212)
+    ax.axis(False)
+    ax.axis(True)
+    fig_ref.add_subplot(212).axis("on")
+
+
+def test_axis_extent_arg():
+    fig, ax = plt.subplots()
+    xmin = 5
+    xmax = 10
+    ymin = 15
+    ymax = 20
+    extent = ax.axis([xmin, xmax, ymin, ymax])
+
+    # test that the docstring is correct
+    assert tuple(extent) == (xmin, xmax, ymin, ymax)
+
+    # test that limits were set per the docstring
+    assert (xmin, xmax) == ax.get_xlim()
+    assert (ymin, ymax) == ax.get_ylim()
+
+
+def test_axis_extent_arg2():
+    # Same as test_axis_extent_arg, but with keyword arguments
+    fig, ax = plt.subplots()
+    xmin = 5
+    xmax = 10
+    ymin = 15
+    ymax = 20
+    extent = ax.axis(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax)
+
+    # test that the docstring is correct
+    assert tuple(extent) == (xmin, xmax, ymin, ymax)
+
+    # test that limits were set per the docstring
+    assert (xmin, xmax) == ax.get_xlim()
+    assert (ymin, ymax) == ax.get_ylim()
+
+
+def test_hist_auto_bins():
+    _, bins, _ = plt.hist([[1, 2, 3], [3, 4, 5, 6]], bins='auto')
+    assert bins[0] <= 1
+    assert bins[-1] >= 6
+
+
+def test_hist_nan_data():
+    fig, (ax1, ax2) = plt.subplots(2)
+
+    data = [1, 2, 3]
+    nan_data = data + [np.nan]
+
+    bins, edges, _ = ax1.hist(data)
+    with np.errstate(invalid='ignore'):
+        nanbins, nanedges, _ = ax2.hist(nan_data)
+
+    np.testing.assert_allclose(bins, nanbins)
+    np.testing.assert_allclose(edges, nanedges)
+
+
+def test_hist_range_and_density():
+    _, bins, _ = plt.hist(np.random.rand(10), "auto",
+                          range=(0, 1), density=True)
+    assert bins[0] == 0
+    assert bins[-1] == 1
+
+
+def test_bar_errbar_zorder():
+    # Check that the zorder of errorbars is always greater than the bar they
+    # are plotted on
+    fig, ax = plt.subplots()
+    x = [1, 2, 3]
+    barcont = ax.bar(x=x, height=x, yerr=x, capsize=5, zorder=3)
+
+    data_line, caplines, barlinecols = barcont.errorbar.lines
+    for bar in barcont.patches:
+        for capline in caplines:
+            assert capline.zorder > bar.zorder
+        for barlinecol in barlinecols:
+            assert barlinecol.zorder > bar.zorder
+
+
+def test_set_ticks_inverted():
+    fig, ax = plt.subplots()
+    ax.invert_xaxis()
+    ax.set_xticks([.3, .7])
+    assert ax.get_xlim() == (1, 0)
+    ax.set_xticks([-1])
+    assert ax.get_xlim() == (1, -1)
+
+
+def test_aspect_nonlinear_adjustable_box():
+    fig = plt.figure(figsize=(10, 10))  # Square.
+
+    ax = fig.add_subplot()
+    ax.plot([.4, .6], [.4, .6])  # Set minpos to keep logit happy.
+    ax.set(xscale="log", xlim=(1, 10),
+           yscale="logit", ylim=(1/11, 1/1001),
+           aspect=1, adjustable="box")
+    ax.margins(0)
+    pos = fig.transFigure.transform_bbox(ax.get_position())
+    assert pos.height / pos.width == pytest.approx(2)
+
+
+def test_aspect_nonlinear_adjustable_datalim():
+    fig = plt.figure(figsize=(10, 10))  # Square.
+
+    ax = fig.add_axes([.1, .1, .8, .8])  # Square.
+    ax.plot([.4, .6], [.4, .6])  # Set minpos to keep logit happy.
+    ax.set(xscale="log", xlim=(1, 100),
+           yscale="logit", ylim=(1 / 101, 1 / 11),
+           aspect=1, adjustable="datalim")
+    ax.margins(0)
+    ax.apply_aspect()
+
+    assert ax.get_xlim() == pytest.approx([1*10**(1/2), 100/10**(1/2)])
+    assert ax.get_ylim() == (1 / 101, 1 / 11)
+
+
+def test_box_aspect():
+    # Test if axes with box_aspect=1 has same dimensions
+    # as axes with aspect equal and adjustable="box"
+
+    fig1, ax1 = plt.subplots()
+    axtwin = ax1.twinx()
+    axtwin.plot([12, 344])
+
+    ax1.set_box_aspect(1)
+    assert ax1.get_box_aspect() == 1.0
+
+    fig2, ax2 = plt.subplots()
+    ax2.margins(0)
+    ax2.plot([0, 2], [6, 8])
+    ax2.set_aspect("equal", adjustable="box")
+
+    fig1.canvas.draw()
+    fig2.canvas.draw()
+
+    bb1 = ax1.get_position()
+    bbt = axtwin.get_position()
+    bb2 = ax2.get_position()
+
+    assert_array_equal(bb1.extents, bb2.extents)
+    assert_array_equal(bbt.extents, bb2.extents)
+
+
+def test_box_aspect_custom_position():
+    # Test if axes with custom position and box_aspect
+    # behaves the same independent of the order of setting those.
+
+    fig1, ax1 = plt.subplots()
+    ax1.set_position([0.1, 0.1, 0.9, 0.2])
+    fig1.canvas.draw()
+    ax1.set_box_aspect(1.)
+
+    fig2, ax2 = plt.subplots()
+    ax2.set_box_aspect(1.)
+    fig2.canvas.draw()
+    ax2.set_position([0.1, 0.1, 0.9, 0.2])
+
+    fig1.canvas.draw()
+    fig2.canvas.draw()
+
+    bb1 = ax1.get_position()
+    bb2 = ax2.get_position()
+
+    assert_array_equal(bb1.extents, bb2.extents)
+
+
+def test_bbox_aspect_axes_init():
+    # Test that box_aspect can be given to axes init and produces
+    # all equal square axes.
+    fig, axs = plt.subplots(2, 3, subplot_kw=dict(box_aspect=1),
+                            constrained_layout=True)
+    fig.canvas.draw()
+    renderer = fig.canvas.get_renderer()
+    sizes = []
+    for ax in axs.flat:
+        bb = ax.get_window_extent(renderer)
+        sizes.extend([bb.width, bb.height])
+
+    assert_allclose(sizes, sizes[0])
+
+
+def test_set_aspect_negative():
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match="must be finite and positive"):
+        ax.set_aspect(-1)
+    with pytest.raises(ValueError, match="must be finite and positive"):
+        ax.set_aspect(0)
+    with pytest.raises(ValueError, match="must be finite and positive"):
+        ax.set_aspect(np.inf)
+    with pytest.raises(ValueError, match="must be finite and positive"):
+        ax.set_aspect(-np.inf)
+
+
+def test_redraw_in_frame():
+    fig, ax = plt.subplots(1, 1)
+    ax.plot([1, 2, 3])
+    fig.canvas.draw()
+    ax.redraw_in_frame()
+
+
+def test_invisible_axes_events():
+    # invisible axes should not respond to events...
+    fig, ax = plt.subplots()
+    assert fig.canvas.inaxes((200, 200)) is not None
+    ax.set_visible(False)
+    assert fig.canvas.inaxes((200, 200)) is None
+
+
+def test_xtickcolor_is_not_markercolor():
+    plt.rcParams['lines.markeredgecolor'] = 'white'
+    ax = plt.axes()
+    ticks = ax.xaxis.get_major_ticks()
+    for tick in ticks:
+        assert tick.tick1line.get_markeredgecolor() != 'white'
+
+
+def test_ytickcolor_is_not_markercolor():
+    plt.rcParams['lines.markeredgecolor'] = 'white'
+    ax = plt.axes()
+    ticks = ax.yaxis.get_major_ticks()
+    for tick in ticks:
+        assert tick.tick1line.get_markeredgecolor() != 'white'
+
+
+@pytest.mark.parametrize('axis', ('x', 'y'))
+@pytest.mark.parametrize('auto', (True, False, None))
+def test_unautoscale(axis, auto):
+    fig, ax = plt.subplots()
+    x = np.arange(100)
+    y = np.linspace(-.1, .1, 100)
+    ax.scatter(y, x)
+
+    get_autoscale_on = getattr(ax, f'get_autoscale{axis}_on')
+    set_lim = getattr(ax, f'set_{axis}lim')
+    get_lim = getattr(ax, f'get_{axis}lim')
+
+    post_auto = get_autoscale_on() if auto is None else auto
+
+    set_lim((-0.5, 0.5), auto=auto)
+    assert post_auto == get_autoscale_on()
+    fig.canvas.draw()
+    assert_array_equal(get_lim(), (-0.5, 0.5))
+
+
+@check_figures_equal()
+def test_polar_interpolation_steps_variable_r(fig_test, fig_ref):
+    l, = fig_test.add_subplot(projection="polar").plot([0, np.pi/2], [1, 2])
+    l.get_path()._interpolation_steps = 100
+    fig_ref.add_subplot(projection="polar").plot(
+        np.linspace(0, np.pi/2, 101), np.linspace(1, 2, 101))
+
+
+@mpl.style.context('default')
+def test_autoscale_tiny_sticky():
+    fig, ax = plt.subplots()
+    ax.bar(0, 1e-9)
+    fig.canvas.draw()
+    assert ax.get_ylim() == (0, 1.05e-9)
+
+
+def test_xtickcolor_is_not_xticklabelcolor():
+    plt.rcParams['xtick.color'] = 'yellow'
+    plt.rcParams['xtick.labelcolor'] = 'blue'
+    ax = plt.axes()
+    ticks = ax.xaxis.get_major_ticks()
+    for tick in ticks:
+        assert tick.tick1line.get_color() == 'yellow'
+        assert tick.label1.get_color() == 'blue'
+
+
+def test_ytickcolor_is_not_yticklabelcolor():
+    plt.rcParams['ytick.color'] = 'yellow'
+    plt.rcParams['ytick.labelcolor'] = 'blue'
+    ax = plt.axes()
+    ticks = ax.yaxis.get_major_ticks()
+    for tick in ticks:
+        assert tick.tick1line.get_color() == 'yellow'
+        assert tick.label1.get_color() == 'blue'
+
+
+def test_xaxis_offsetText_color():
+    plt.rcParams['xtick.labelcolor'] = 'blue'
+    ax = plt.axes()
+    assert ax.xaxis.offsetText.get_color() == 'blue'
+
+    plt.rcParams['xtick.color'] = 'yellow'
+    plt.rcParams['xtick.labelcolor'] = 'inherit'
+    ax = plt.axes()
+    assert ax.xaxis.offsetText.get_color() == 'yellow'
+
+
+def test_yaxis_offsetText_color():
+    plt.rcParams['ytick.labelcolor'] = 'green'
+    ax = plt.axes()
+    assert ax.yaxis.offsetText.get_color() == 'green'
+
+    plt.rcParams['ytick.color'] = 'red'
+    plt.rcParams['ytick.labelcolor'] = 'inherit'
+    ax = plt.axes()
+    assert ax.yaxis.offsetText.get_color() == 'red'
+
+
+@pytest.mark.parametrize('size', [size for size in mfont_manager.font_scalings
+                                  if size is not None] + [8, 10, 12])
+@mpl.style.context('default')
+def test_relative_ticklabel_sizes(size):
+    mpl.rcParams['xtick.labelsize'] = size
+    mpl.rcParams['ytick.labelsize'] = size
+    fig, ax = plt.subplots()
+    fig.canvas.draw()
+
+    for name, axis in zip(['x', 'y'], [ax.xaxis, ax.yaxis]):
+        for tick in axis.get_major_ticks():
+            assert tick.label1.get_size() == axis._get_tick_label_size(name)
+
+
+def test_multiplot_autoscale():
+    fig = plt.figure()
+    ax1, ax2 = fig.subplots(2, 1, sharex='all')
+    ax1.plot([18000, 18250, 18500, 18750], [2, 3, 2, 3])
+    ax2.axhspan(-5, 5)
+    xlim = ax1.get_xlim()
+    assert np.allclose(xlim, [18000, 18800])
+
+
+def test_sharing_does_not_link_positions():
+    fig = plt.figure()
+    ax0 = fig.add_subplot(221)
+    ax1 = fig.add_axes([.6, .6, .3, .3], sharex=ax0)
+    init_pos = ax1.get_position()
+    fig.subplots_adjust(left=0)
+    assert (ax1.get_position().get_points() == init_pos.get_points()).all()
+
+
+@check_figures_equal(extensions=["pdf"])
+def test_2dcolor_plot(fig_test, fig_ref):
+    color = np.array([0.1, 0.2, 0.3])
+    # plot with 1D-color:
+    axs = fig_test.subplots(5)
+    axs[0].plot([1, 2], [1, 2], c=color.reshape(-1))
+    with pytest.warns(match="argument looks like a single numeric RGB"):
+        axs[1].scatter([1, 2], [1, 2], c=color.reshape(-1))
+    axs[2].step([1, 2], [1, 2], c=color.reshape(-1))
+    axs[3].hist(np.arange(10), color=color.reshape(-1))
+    axs[4].bar(np.arange(10), np.arange(10), color=color.reshape(-1))
+    # plot with 2D-color:
+    axs = fig_ref.subplots(5)
+    axs[0].plot([1, 2], [1, 2], c=color.reshape((1, -1)))
+    axs[1].scatter([1, 2], [1, 2], c=color.reshape((1, -1)))
+    axs[2].step([1, 2], [1, 2], c=color.reshape((1, -1)))
+    axs[3].hist(np.arange(10), color=color.reshape((1, -1)))
+    axs[4].bar(np.arange(10), np.arange(10), color=color.reshape((1, -1)))
+
+
+@check_figures_equal()
+def test_shared_axes_clear(fig_test, fig_ref):
+    x = np.arange(0.0, 2*np.pi, 0.01)
+    y = np.sin(x)
+
+    axs = fig_ref.subplots(2, 2, sharex=True, sharey=True)
+    for ax in axs.flat:
+        ax.plot(x, y)
+
+    axs = fig_test.subplots(2, 2, sharex=True, sharey=True)
+    for ax in axs.flat:
+        ax.clear()
+        ax.plot(x, y)
+
+
+def test_shared_axes_retick():
+    fig, axs = plt.subplots(2, 2, sharex='all', sharey='all')
+
+    for ax in axs.flat:
+        ax.plot([0, 2], 'o-')
+
+    axs[0, 0].set_xticks([-0.5, 0, 1, 1.5])  # should affect all axes xlims
+    for ax in axs.flat:
+        assert ax.get_xlim() == axs[0, 0].get_xlim()
+
+    axs[0, 0].set_yticks([-0.5, 0, 2, 2.5])  # should affect all axes ylims
+    for ax in axs.flat:
+        assert ax.get_ylim() == axs[0, 0].get_ylim()
+
+
+@pytest.mark.parametrize('ha', ['left', 'center', 'right'])
+def test_ylabel_ha_with_position(ha):
+    fig = Figure()
+    ax = fig.subplots()
+    ax.set_ylabel("test", y=1, ha=ha)
+    ax.yaxis.set_label_position("right")
+    assert ax.yaxis.label.get_ha() == ha
+
+
+def test_bar_label_location_vertical():
+    ax = plt.gca()
+    xs, heights = [1, 2], [3, -4]
+    rects = ax.bar(xs, heights)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (xs[0], heights[0])
+    assert labels[0].get_horizontalalignment() == 'center'
+    assert labels[0].get_verticalalignment() == 'bottom'
+    assert labels[1].xy == (xs[1], heights[1])
+    assert labels[1].get_horizontalalignment() == 'center'
+    assert labels[1].get_verticalalignment() == 'top'
+
+
+def test_bar_label_location_vertical_yinverted():
+    ax = plt.gca()
+    ax.invert_yaxis()
+    xs, heights = [1, 2], [3, -4]
+    rects = ax.bar(xs, heights)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (xs[0], heights[0])
+    assert labels[0].get_horizontalalignment() == 'center'
+    assert labels[0].get_verticalalignment() == 'top'
+    assert labels[1].xy == (xs[1], heights[1])
+    assert labels[1].get_horizontalalignment() == 'center'
+    assert labels[1].get_verticalalignment() == 'bottom'
+
+
+def test_bar_label_location_horizontal():
+    ax = plt.gca()
+    ys, widths = [1, 2], [3, -4]
+    rects = ax.barh(ys, widths)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (widths[0], ys[0])
+    assert labels[0].get_horizontalalignment() == 'left'
+    assert labels[0].get_verticalalignment() == 'center'
+    assert labels[1].xy == (widths[1], ys[1])
+    assert labels[1].get_horizontalalignment() == 'right'
+    assert labels[1].get_verticalalignment() == 'center'
+
+
+def test_bar_label_location_horizontal_yinverted():
+    ax = plt.gca()
+    ax.invert_yaxis()
+    ys, widths = [1, 2], [3, -4]
+    rects = ax.barh(ys, widths)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (widths[0], ys[0])
+    assert labels[0].get_horizontalalignment() == 'left'
+    assert labels[0].get_verticalalignment() == 'center'
+    assert labels[1].xy == (widths[1], ys[1])
+    assert labels[1].get_horizontalalignment() == 'right'
+    assert labels[1].get_verticalalignment() == 'center'
+
+
+def test_bar_label_location_horizontal_xinverted():
+    ax = plt.gca()
+    ax.invert_xaxis()
+    ys, widths = [1, 2], [3, -4]
+    rects = ax.barh(ys, widths)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (widths[0], ys[0])
+    assert labels[0].get_horizontalalignment() == 'right'
+    assert labels[0].get_verticalalignment() == 'center'
+    assert labels[1].xy == (widths[1], ys[1])
+    assert labels[1].get_horizontalalignment() == 'left'
+    assert labels[1].get_verticalalignment() == 'center'
+
+
+def test_bar_label_location_horizontal_xyinverted():
+    ax = plt.gca()
+    ax.invert_xaxis()
+    ax.invert_yaxis()
+    ys, widths = [1, 2], [3, -4]
+    rects = ax.barh(ys, widths)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (widths[0], ys[0])
+    assert labels[0].get_horizontalalignment() == 'right'
+    assert labels[0].get_verticalalignment() == 'center'
+    assert labels[1].xy == (widths[1], ys[1])
+    assert labels[1].get_horizontalalignment() == 'left'
+    assert labels[1].get_verticalalignment() == 'center'
+
+
+def test_bar_label_location_center():
+    ax = plt.gca()
+    ys, widths = [1, 2], [3, -4]
+    rects = ax.barh(ys, widths)
+    labels = ax.bar_label(rects, label_type='center')
+    assert labels[0].xy == (0.5, 0.5)
+    assert labels[0].get_horizontalalignment() == 'center'
+    assert labels[0].get_verticalalignment() == 'center'
+    assert labels[1].xy == (0.5, 0.5)
+    assert labels[1].get_horizontalalignment() == 'center'
+    assert labels[1].get_verticalalignment() == 'center'
+
+
+@image_comparison(['test_centered_bar_label_nonlinear.svg'])
+def test_centered_bar_label_nonlinear():
+    _, ax = plt.subplots()
+    bar_container = ax.barh(['c', 'b', 'a'], [1_000, 5_000, 7_000])
+    ax.set_xscale('log')
+    ax.set_xlim(1, None)
+    ax.bar_label(bar_container, label_type='center')
+    ax.set_axis_off()
+
+
+def test_centered_bar_label_label_beyond_limits():
+    fig, ax = plt.subplots()
+
+    last = 0
+    for label, value in zip(['a', 'b', 'c'], [10, 20, 50]):
+        bar_container = ax.barh('col', value, label=label, left=last)
+        ax.bar_label(bar_container, label_type='center')
+        last += value
+    ax.set_xlim(None, 20)
+
+    fig.draw_without_rendering()
+
+
+def test_bar_label_location_errorbars():
+    ax = plt.gca()
+    xs, heights = [1, 2], [3, -4]
+    rects = ax.bar(xs, heights, yerr=1)
+    labels = ax.bar_label(rects)
+    assert labels[0].xy == (xs[0], heights[0] + 1)
+    assert labels[0].get_horizontalalignment() == 'center'
+    assert labels[0].get_verticalalignment() == 'bottom'
+    assert labels[1].xy == (xs[1], heights[1] - 1)
+    assert labels[1].get_horizontalalignment() == 'center'
+    assert labels[1].get_verticalalignment() == 'top'
+
+
+@pytest.mark.parametrize('fmt', [
+    '%.2f', '{:.2f}', '{:.2f}'.format
+])
+def test_bar_label_fmt(fmt):
+    ax = plt.gca()
+    rects = ax.bar([1, 2], [3, -4])
+    labels = ax.bar_label(rects, fmt=fmt)
+    assert labels[0].get_text() == '3.00'
+    assert labels[1].get_text() == '-4.00'
+
+
+def test_bar_label_fmt_error():
+    ax = plt.gca()
+    rects = ax.bar([1, 2], [3, -4])
+    with pytest.raises(TypeError, match='str or callable'):
+        _ = ax.bar_label(rects, fmt=10)
+
+
+def test_bar_label_labels():
+    ax = plt.gca()
+    rects = ax.bar([1, 2], [3, -4])
+    labels = ax.bar_label(rects, labels=['A', 'B'])
+    assert labels[0].get_text() == 'A'
+    assert labels[1].get_text() == 'B'
+
+
+def test_bar_label_nan_ydata():
+    ax = plt.gca()
+    bars = ax.bar([2, 3], [np.nan, 1])
+    labels = ax.bar_label(bars)
+    assert [l.get_text() for l in labels] == ['', '1']
+    assert labels[0].xy == (2, 0)
+    assert labels[0].get_verticalalignment() == 'bottom'
+
+
+def test_bar_label_nan_ydata_inverted():
+    ax = plt.gca()
+    ax.yaxis_inverted()
+    bars = ax.bar([2, 3], [np.nan, 1])
+    labels = ax.bar_label(bars)
+    assert [l.get_text() for l in labels] == ['', '1']
+    assert labels[0].xy == (2, 0)
+    assert labels[0].get_verticalalignment() == 'bottom'
+
+
+def test_bar_label_padding():
+    """Test that bar_label accepts both float and array-like padding."""
+    ax = plt.gca()
+    xs, heights = [1, 2], [3, 4]
+    rects = ax.bar(xs, heights)
+    labels1 = ax.bar_label(rects, padding=5)  # test float value
+    assert labels1[0].xyann[1] == 5
+    assert labels1[1].xyann[1] == 5
+
+    labels2 = ax.bar_label(rects, padding=[2, 8])  # test array-like values
+    assert labels2[0].xyann[1] == 2
+    assert labels2[1].xyann[1] == 8
+
+    with pytest.raises(ValueError, match="padding must be of length"):
+        ax.bar_label(rects, padding=[1, 2, 3])
+
+
+def test_nan_barlabels():
+    fig, ax = plt.subplots()
+    bars = ax.bar([1, 2, 3], [np.nan, 1, 2], yerr=[0.2, 0.4, 0.6])
+    labels = ax.bar_label(bars)
+    assert [l.get_text() for l in labels] == ['', '1', '2']
+    assert np.allclose(ax.get_ylim(), (0.0, 3.0))
+
+    fig, ax = plt.subplots()
+    bars = ax.bar([1, 2, 3], [0, 1, 2], yerr=[0.2, np.nan, 0.6])
+    labels = ax.bar_label(bars)
+    assert [l.get_text() for l in labels] == ['0', '1', '2']
+    assert np.allclose(ax.get_ylim(), (-0.5, 3.0))
+
+    fig, ax = plt.subplots()
+    bars = ax.bar([1, 2, 3], [np.nan, 1, 2], yerr=[np.nan, np.nan, 0.6])
+    labels = ax.bar_label(bars)
+    assert [l.get_text() for l in labels] == ['', '1', '2']
+    assert np.allclose(ax.get_ylim(), (0.0, 3.0))
+
+
+def test_patch_bounds():  # PR 19078
+    fig, ax = plt.subplots()
+    ax.add_patch(mpatches.Wedge((0, -1), 1.05, 60, 120, width=0.1))
+    bot = 1.9*np.sin(15*np.pi/180)**2
+    np.testing.assert_array_almost_equal_nulp(
+        np.array((-0.525, -(bot+0.05), 1.05, bot+0.1)), ax.dataLim.bounds, 16)
+
+
+@mpl.style.context('default')
+def test_warn_ignored_scatter_kwargs():
+    with pytest.warns(UserWarning,
+                      match=r"You passed a edgecolor/edgecolors"):
+        plt.scatter([0], [0], marker="+", s=500, facecolor="r", edgecolor="b")
+
+
+def test_artist_sublists():
+    fig, ax = plt.subplots()
+    lines = [ax.plot(np.arange(i, i + 5))[0] for i in range(6)]
+    col = ax.scatter(np.arange(5), np.arange(5))
+    im = ax.imshow(np.zeros((5, 5)))
+    patch = ax.add_patch(mpatches.Rectangle((0, 0), 5, 5))
+    text = ax.text(0, 0, 'foo')
+
+    # Get items, which should not be mixed.
+    assert list(ax.collections) == [col]
+    assert list(ax.images) == [im]
+    assert list(ax.lines) == lines
+    assert list(ax.patches) == [patch]
+    assert not ax.tables
+    assert list(ax.texts) == [text]
+
+    # Get items should work like lists/tuple.
+    assert ax.lines[0] is lines[0]
+    assert ax.lines[-1] is lines[-1]
+    with pytest.raises(IndexError, match='out of range'):
+        ax.lines[len(lines) + 1]
+
+    # Adding to other lists should produce a regular list.
+    assert ax.lines + [1, 2, 3] == [*lines, 1, 2, 3]
+    assert [1, 2, 3] + ax.lines == [1, 2, 3, *lines]
+
+    # Adding to other tuples should produce a regular tuples.
+    assert ax.lines + (1, 2, 3) == (*lines, 1, 2, 3)
+    assert (1, 2, 3) + ax.lines == (1, 2, 3, *lines)
+
+    # Lists should be empty after removing items.
+    col.remove()
+    assert not ax.collections
+    im.remove()
+    assert not ax.images
+    patch.remove()
+    assert not ax.patches
+    assert not ax.tables
+    text.remove()
+    assert not ax.texts
+
+    for ln in ax.lines:
+        ln.remove()
+    assert len(ax.lines) == 0
+
+
+def test_empty_line_plots():
+    # Incompatible nr columns, plot "nothing"
+    x = np.ones(10)
+    y = np.ones((10, 0))
+    _, ax = plt.subplots()
+    line = ax.plot(x, y)
+    assert len(line) == 0
+
+    # Ensure plot([],[]) creates line
+    _, ax = plt.subplots()
+    line = ax.plot([], [])
+    assert len(line) == 1
+
+
+@pytest.mark.parametrize('fmt, match', (
+    ("f", r"'f' is not a valid format string \(unrecognized character 'f'\)"),
+    ("o+", r"'o\+' is not a valid format string \(two marker symbols\)"),
+    (":-", r"':-' is not a valid format string \(two linestyle symbols\)"),
+    ("rk", r"'rk' is not a valid format string \(two color symbols\)"),
+    (":o-r", r"':o-r' is not a valid format string \(two linestyle symbols\)"),
+    ("C", r"'C' is not a valid format string \('C' must be followed by a number\)"),
+    (".C", r"'.C' is not a valid format string \('C' must be followed by a number\)"),
+))
+@pytest.mark.parametrize("data", [None, {"string": range(3)}])
+def test_plot_format_errors(fmt, match, data):
+    fig, ax = plt.subplots()
+    if data is not None:
+        match = match.replace("not", "neither a data key nor")
+    with pytest.raises(ValueError, match=r"\A" + match + r"\Z"):
+        ax.plot("string", fmt, data=data)
+
+
+def test_plot_format():
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2, 3], '1.0')
+    assert line[0].get_color() == (1.0, 1.0, 1.0, 1.0)
+    assert line[0].get_marker() == 'None'
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2, 3], '1')
+    assert line[0].get_marker() == '1'
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2], [1, 2], '1.0', "1")
+    fig.canvas.draw()
+    assert line[0].get_color() == (1.0, 1.0, 1.0, 1.0)
+    assert ax.get_yticklabels()[0].get_text() == '1'
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2], [1, 2], '1', "1.0")
+    fig.canvas.draw()
+    assert line[0].get_marker() == '1'
+    assert ax.get_yticklabels()[0].get_text() == '1.0'
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2, 3], 'k3')
+    assert line[0].get_marker() == '3'
+    assert line[0].get_color() == 'k'
+    fig, ax = plt.subplots()
+    line = ax.plot([1, 2, 3], '.C12:')
+    assert line[0].get_marker() == '.'
+    assert line[0].get_color() == mcolors.to_rgba('C12')
+    assert line[0].get_linestyle() == ':'
+
+
+def test_automatic_legend():
+    fig, ax = plt.subplots()
+    ax.plot("a", "b", data={"d": 2})
+    leg = ax.legend()
+    fig.canvas.draw()
+    assert leg.get_texts()[0].get_text() == 'a'
+    assert ax.get_yticklabels()[0].get_text() == 'a'
+
+    fig, ax = plt.subplots()
+    ax.plot("a", "b", "c", data={"d": 2})
+    leg = ax.legend()
+    fig.canvas.draw()
+    assert leg.get_texts()[0].get_text() == 'b'
+    assert ax.get_xticklabels()[0].get_text() == 'a'
+    assert ax.get_yticklabels()[0].get_text() == 'b'
+
+
+def test_plot_errors():
+    with pytest.raises(TypeError, match=r"plot\(\) got an unexpected keyword"):
+        plt.plot([1, 2, 3], x=1)
+    with pytest.raises(ValueError, match=r"plot\(\) with multiple groups"):
+        plt.plot([1, 2, 3], [1, 2, 3], [2, 3, 4], [2, 3, 4], label=['1', '2'])
+    with pytest.raises(ValueError, match="x and y must have same first"):
+        plt.plot([1, 2, 3], [1])
+    with pytest.raises(ValueError, match="x and y can be no greater than"):
+        plt.plot(np.ones((2, 2, 2)))
+    with pytest.raises(ValueError, match="Using arbitrary long args with"):
+        plt.plot("a", "b", "c", "d", data={"a": 2})
+
+
+def test_clim():
+    ax = plt.figure().add_subplot()
+    for plot_method in [
+            partial(ax.scatter, range(3), range(3), c=range(3)),
+            partial(ax.imshow, [[0, 1], [2, 3]]),
+            partial(ax.pcolor,  [[0, 1], [2, 3]]),
+            partial(ax.pcolormesh, [[0, 1], [2, 3]]),
+            partial(ax.pcolorfast, [[0, 1], [2, 3]]),
+    ]:
+        clim = (7, 8)
+        norm = plot_method(clim=clim).norm
+        assert (norm.vmin, norm.vmax) == clim
+
+
+def test_bezier_autoscale():
+    # Check that bezier curves autoscale to their curves, and not their
+    # control points
+    verts = [[-1, 0],
+             [0, -1],
+             [1, 0],
+             [1, 0]]
+    codes = [mpath.Path.MOVETO,
+             mpath.Path.CURVE3,
+             mpath.Path.CURVE3,
+             mpath.Path.CLOSEPOLY]
+    p = mpath.Path(verts, codes)
+
+    fig, ax = plt.subplots()
+    ax.add_patch(mpatches.PathPatch(p))
+    ax.autoscale()
+    # Bottom ylim should be at the edge of the curve (-0.5), and not include
+    # the control point (at -1)
+    assert ax.get_ylim()[0] == -0.5
+
+
+def test_small_autoscale():
+    # Check that paths with small values autoscale correctly #24097.
+    verts = np.array([
+        [-5.45, 0.00], [-5.45, 0.00], [-5.29, 0.00], [-5.29, 0.00],
+        [-5.13, 0.00], [-5.13, 0.00], [-4.97, 0.00], [-4.97, 0.00],
+        [-4.81, 0.00], [-4.81, 0.00], [-4.65, 0.00], [-4.65, 0.00],
+        [-4.49, 0.00], [-4.49, 0.00], [-4.33, 0.00], [-4.33, 0.00],
+        [-4.17, 0.00], [-4.17, 0.00], [-4.01, 0.00], [-4.01, 0.00],
+        [-3.85, 0.00], [-3.85, 0.00], [-3.69, 0.00], [-3.69, 0.00],
+        [-3.53, 0.00], [-3.53, 0.00], [-3.37, 0.00], [-3.37, 0.00],
+        [-3.21, 0.00], [-3.21, 0.01], [-3.05, 0.01], [-3.05, 0.01],
+        [-2.89, 0.01], [-2.89, 0.01], [-2.73, 0.01], [-2.73, 0.02],
+        [-2.57, 0.02], [-2.57, 0.04], [-2.41, 0.04], [-2.41, 0.04],
+        [-2.25, 0.04], [-2.25, 0.06], [-2.09, 0.06], [-2.09, 0.08],
+        [-1.93, 0.08], [-1.93, 0.10], [-1.77, 0.10], [-1.77, 0.12],
+        [-1.61, 0.12], [-1.61, 0.14], [-1.45, 0.14], [-1.45, 0.17],
+        [-1.30, 0.17], [-1.30, 0.19], [-1.14, 0.19], [-1.14, 0.22],
+        [-0.98, 0.22], [-0.98, 0.25], [-0.82, 0.25], [-0.82, 0.27],
+        [-0.66, 0.27], [-0.66, 0.29], [-0.50, 0.29], [-0.50, 0.30],
+        [-0.34, 0.30], [-0.34, 0.32], [-0.18, 0.32], [-0.18, 0.33],
+        [-0.02, 0.33], [-0.02, 0.32], [0.13, 0.32], [0.13, 0.33], [0.29, 0.33],
+        [0.29, 0.31], [0.45, 0.31], [0.45, 0.30], [0.61, 0.30], [0.61, 0.28],
+        [0.77, 0.28], [0.77, 0.25], [0.93, 0.25], [0.93, 0.22], [1.09, 0.22],
+        [1.09, 0.19], [1.25, 0.19], [1.25, 0.17], [1.41, 0.17], [1.41, 0.15],
+        [1.57, 0.15], [1.57, 0.12], [1.73, 0.12], [1.73, 0.10], [1.89, 0.10],
+        [1.89, 0.08], [2.05, 0.08], [2.05, 0.07], [2.21, 0.07], [2.21, 0.05],
+        [2.37, 0.05], [2.37, 0.04], [2.53, 0.04], [2.53, 0.02], [2.69, 0.02],
+        [2.69, 0.02], [2.85, 0.02], [2.85, 0.01], [3.01, 0.01], [3.01, 0.01],
+        [3.17, 0.01], [3.17, 0.00], [3.33, 0.00], [3.33, 0.00], [3.49, 0.00],
+        [3.49, 0.00], [3.65, 0.00], [3.65, 0.00], [3.81, 0.00], [3.81, 0.00],
+        [3.97, 0.00], [3.97, 0.00], [4.13, 0.00], [4.13, 0.00], [4.29, 0.00],
+        [4.29, 0.00], [4.45, 0.00], [4.45, 0.00], [4.61, 0.00], [4.61, 0.00],
+        [4.77, 0.00], [4.77, 0.00], [4.93, 0.00], [4.93, 0.00],
+    ])
+
+    minx = np.min(verts[:, 0])
+    miny = np.min(verts[:, 1])
+    maxx = np.max(verts[:, 0])
+    maxy = np.max(verts[:, 1])
+
+    p = mpath.Path(verts)
+
+    fig, ax = plt.subplots()
+    ax.add_patch(mpatches.PathPatch(p))
+    ax.autoscale()
+
+    assert ax.get_xlim()[0] <= minx
+    assert ax.get_xlim()[1] >= maxx
+    assert ax.get_ylim()[0] <= miny
+    assert ax.get_ylim()[1] >= maxy
+
+
+def test_get_xticklabel():
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10))
+    for ind in range(10):
+        assert ax.get_xticklabels()[ind].get_text() == f'{ind}'
+        assert ax.get_yticklabels()[ind].get_text() == f'{ind}'
+
+
+def test_bar_leading_nan():
+
+    barx = np.arange(3, dtype=float)
+    barheights = np.array([0.5, 1.5, 2.0])
+    barstarts = np.array([0.77]*3)
+
+    barx[0] = np.nan
+
+    fig, ax = plt.subplots()
+
+    bars = ax.bar(barx, barheights, bottom=barstarts)
+
+    hbars = ax.barh(barx, barheights, left=barstarts)
+
+    for bar_set in (bars, hbars):
+        # the first bar should have a nan in the location
+        nanful, *rest = bar_set
+        assert (~np.isfinite(nanful.xy)).any()
+        assert np.isfinite(nanful.get_width())
+        for b in rest:
+            assert np.isfinite(b.xy).all()
+            assert np.isfinite(b.get_width())
+
+
+@check_figures_equal()
+def test_bar_all_nan(fig_test, fig_ref):
+    mpl.style.use("mpl20")
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+
+    ax_test.bar([np.nan], [np.nan])
+    ax_test.bar([1], [1])
+
+    ax_ref.bar([1], [1]).remove()
+    ax_ref.bar([1], [1])
+
+
+@image_comparison(["extent_units.png"], style="mpl20")
+def test_extent_units():
+    _, axs = plt.subplots(2, 2)
+    date_first = np.datetime64('2020-01-01', 'D')
+    date_last = np.datetime64('2020-01-11', 'D')
+    arr = [[i+j for i in range(10)] for j in range(10)]
+
+    axs[0, 0].set_title('Date extents on y axis')
+    im = axs[0, 0].imshow(arr, origin='lower',
+                          extent=[1, 11, date_first, date_last],
+                          cmap=mpl.colormaps["plasma"])
+
+    axs[0, 1].set_title('Date extents on x axis (Day of Jan 2020)')
+    im = axs[0, 1].imshow(arr, origin='lower',
+                          extent=[date_first, date_last, 1, 11],
+                          cmap=mpl.colormaps["plasma"])
+    axs[0, 1].xaxis.set_major_formatter(mdates.DateFormatter('%d'))
+
+    im = axs[1, 0].imshow(arr, origin='lower',
+                          extent=[date_first, date_last,
+                                  date_first, date_last],
+                          cmap=mpl.colormaps["plasma"])
+    axs[1, 0].xaxis.set_major_formatter(mdates.DateFormatter('%d'))
+    axs[1, 0].set(xlabel='Day of Jan 2020')
+
+    im = axs[1, 1].imshow(arr, origin='lower',
+                          cmap=mpl.colormaps["plasma"])
+    im.set_extent([date_last, date_first, date_last, date_first])
+    axs[1, 1].xaxis.set_major_formatter(mdates.DateFormatter('%d'))
+    axs[1, 1].set(xlabel='Day of Jan 2020')
+
+    with pytest.raises(TypeError, match=r"set_extent\(\) got an unexpected"):
+        im.set_extent([2, 12, date_first, date_last], clip=False)
+
+
+def test_cla_clears_children_axes_and_fig():
+    fig, ax = plt.subplots()
+    lines = ax.plot([], [], [], [])
+    img = ax.imshow([[1]])
+    for art in lines + [img]:
+        assert art.axes is ax
+        assert art.get_figure() is fig
+    ax.clear()
+    for art in lines + [img]:
+        assert art.axes is None
+        assert art.get_figure() is None
+
+
+def test_child_axes_removal():
+    fig, ax = plt.subplots()
+    marginal = ax.inset_axes([1, 0, .1, 1], sharey=ax)
+    marginal_twin = marginal.twinx()
+    marginal.remove()
+    ax.set(xlim=(-1, 1), ylim=(10, 20))
+
+
+def test_scatter_color_repr_error():
+
+    def get_next_color():   # pragma: no cover
+        return 'blue'  # currently unused
+    msg = (
+            r"'c' argument must be a color, a sequence of colors"
+            r", or a sequence of numbers, not 'red\\n'"
+        )
+    with pytest.raises(ValueError, match=msg):
+        c = 'red\n'
+        mpl.axes.Axes._parse_scatter_color_args(
+            c, None, kwargs={}, xsize=2, get_next_color_func=get_next_color)
+
+
+def test_zorder_and_explicit_rasterization():
+    fig, ax = plt.subplots()
+    ax.set_rasterization_zorder(5)
+    ln, = ax.plot(range(5), rasterized=True, zorder=1)
+    with io.BytesIO() as b:
+        fig.savefig(b, format='pdf')
+
+
+@image_comparison(["preset_clip_paths.png"], remove_text=True, style="mpl20",
+                  tol=0 if platform.machine() == 'x86_64' else 0.027)
+def test_preset_clip_paths():
+    fig, ax = plt.subplots()
+
+    poly = mpl.patches.Polygon(
+        [[1, 0], [0, 1], [-1, 0], [0, -1]], facecolor="#ddffdd",
+        edgecolor="#00ff00", linewidth=2, alpha=0.5)
+
+    ax.add_patch(poly)
+
+    line = mpl.lines.Line2D((-1, 1), (0.5, 0.5), clip_on=True, clip_path=poly)
+    line.set_path_effects([patheffects.withTickedStroke()])
+    ax.add_artist(line)
+
+    line = mpl.lines.Line2D((-1, 1), (-0.5, -0.5), color='r', clip_on=True,
+                            clip_path=poly)
+    ax.add_artist(line)
+
+    poly2 = mpl.patches.Polygon(
+        [[-1, 1], [0, 1], [0, -0.25]], facecolor="#beefc0", alpha=0.3,
+        edgecolor="#faded0", linewidth=2, clip_on=True, clip_path=poly)
+    ax.add_artist(poly2)
+
+    # When text clipping works, the "Annotation" text should be clipped
+    ax.annotate('Annotation', (-0.75, -0.75), xytext=(0.1, 0.75),
+                arrowprops={'color': 'k'}, clip_on=True, clip_path=poly)
+
+    poly3 = mpl.patches.Polygon(
+        [[0, 0], [0, 0.5], [0.5, 0.5], [0.5, 0]], facecolor="g", edgecolor="y",
+        linewidth=2, alpha=0.3, clip_on=True, clip_path=poly)
+
+    fig.add_artist(poly3, clip=True)
+
+    ax.set_xlim(-1, 1)
+    ax.set_ylim(-1, 1)
+
+
+@mpl.style.context('default')
+def test_rc_axes_label_formatting():
+    mpl.rcParams['axes.labelcolor'] = 'red'
+    mpl.rcParams['axes.labelsize'] = 20
+    mpl.rcParams['axes.labelweight'] = 'bold'
+
+    ax = plt.axes()
+    assert ax.xaxis.label.get_color() == 'red'
+    assert ax.xaxis.label.get_fontsize() == 20
+    assert ax.xaxis.label.get_fontweight() == 'bold'
+
+
+@check_figures_equal()
+def test_ecdf(fig_test, fig_ref):
+    data = np.array([0, -np.inf, -np.inf, np.inf, 1, 1, 2])
+    weights = range(len(data))
+    axs_test = fig_test.subplots(1, 2)
+    for ax, orientation in zip(axs_test, ["vertical", "horizontal"]):
+        l0 = ax.ecdf(data, orientation=orientation)
+        l1 = ax.ecdf("d", "w", data={"d": np.ma.array(data), "w": weights},
+                     orientation=orientation,
+                     complementary=True, compress=True, ls=":")
+        assert len(l0.get_xdata()) == (~np.isnan(data)).sum() + 1
+        assert len(l1.get_xdata()) == len({*data[~np.isnan(data)]}) + 1
+    axs_ref = fig_ref.subplots(1, 2)
+    axs_ref[0].plot([-np.inf, -np.inf, -np.inf, 0, 1, 1, 2, np.inf],
+                    np.arange(8) / 7, ds="steps-post")
+    axs_ref[0].plot([-np.inf, 0, 1, 2, np.inf, np.inf],
+                    np.array([21, 20, 18, 14, 3, 0]) / 21,
+                    ds="steps-pre", ls=":")
+    axs_ref[1].plot(np.arange(8) / 7,
+                    [-np.inf, -np.inf, -np.inf, 0, 1, 1, 2, np.inf],
+                    ds="steps-pre")
+    axs_ref[1].plot(np.array([21, 20, 18, 14, 3, 0]) / 21,
+                    [-np.inf, 0, 1, 2, np.inf, np.inf],
+                    ds="steps-post", ls=":")
+
+
+def test_ecdf_invalid():
+    with pytest.raises(ValueError):
+        plt.ecdf([1, np.nan])
+    with pytest.raises(ValueError):
+        plt.ecdf(np.ma.array([1, 2], mask=[True, False]))
+
+
+def test_fill_between_axes_limits():
+    fig, ax = plt.subplots()
+    x = np.arange(0, 4 * np.pi, 0.01)
+    y = 0.1*np.sin(x)
+    threshold = 0.075
+    ax.plot(x, y, color='black')
+
+    original_lims = (ax.get_xlim(), ax.get_ylim())
+
+    ax.axhline(threshold, color='green', lw=2, alpha=0.7)
+    ax.fill_between(x, 0, 1, where=y > threshold,
+                    color='green', alpha=0.5, transform=ax.get_xaxis_transform())
+
+    assert (ax.get_xlim(), ax.get_ylim()) == original_lims
+
+
+def test_tick_param_labelfont():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3, 4], [1, 2, 3, 4])
+    ax.set_xlabel('X label in Impact font', fontname='Impact')
+    ax.set_ylabel('Y label in xkcd script', fontname='xkcd script')
+    ax.tick_params(color='r', labelfontfamily='monospace')
+    plt.title('Title in sans-serif')
+    for text in ax.get_xticklabels():
+        assert text.get_fontfamily()[0] == 'monospace'
+
+
+def test_set_secondary_axis_color():
+    fig, ax = plt.subplots()
+    sax = ax.secondary_xaxis("top", color="red")
+    assert mcolors.same_color(sax.spines["bottom"].get_edgecolor(), "red")
+    assert mcolors.same_color(sax.spines["top"].get_edgecolor(), "red")
+    assert mcolors.same_color(sax.xaxis.get_tick_params()["color"], "red")
+    assert mcolors.same_color(sax.xaxis.get_tick_params()["labelcolor"], "red")
+    assert mcolors.same_color(sax.xaxis.label.get_color(), "red")
+
+
+def test_xylim_changed_shared():
+    fig, axs = plt.subplots(2, sharex=True, sharey=True)
+    events = []
+    axs[1].callbacks.connect("xlim_changed", events.append)
+    axs[1].callbacks.connect("ylim_changed", events.append)
+    axs[0].set(xlim=[1, 3], ylim=[2, 4])
+    assert events == [axs[1], axs[1]]
+
+
+@image_comparison(["axhvlinespan_interpolation.png"], style="default")
+def test_axhvlinespan_interpolation():
+    ax = plt.figure().add_subplot(projection="polar")
+    ax.set_axis_off()
+    ax.axvline(.1, c="C0")
+    ax.axvspan(.2, .3, fc="C1")
+    ax.axvspan(.4, .5, .1, .2, fc="C2")
+    ax.axhline(1, c="C0", alpha=.5)
+    ax.axhspan(.8, .9, fc="C1", alpha=.5)
+    ax.axhspan(.6, .7, .8, .9, fc="C2", alpha=.5)
+
+
+@check_figures_equal()
+@pytest.mark.parametrize("which", ("x", "y"))
+def test_axes_clear_behavior(fig_ref, fig_test, which):
+    """Test that the given tick params are not reset by ax.clear()."""
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+    # the following tick params values are chosen to each create a visual difference
+    # from their defaults
+    target = {
+        "direction": "in",
+        "length": 10,
+        "width": 10,
+        "color": "xkcd:wine red",
+        "pad": 0,
+        "labelfontfamily": "serif",
+        "zorder": 7,
+        "labelrotation": 45,
+        "labelcolor": "xkcd:shocking pink",
+        # this overrides color + labelcolor, skip
+        # colors: ,
+        "grid_color": "xkcd:fluorescent green",
+        "grid_alpha": 0.5,
+        "grid_linewidth": 3,
+        "grid_linestyle": ":",
+        "bottom": False,
+        "top": True,
+        "left": False,
+        "right": True,
+        "labelbottom": True,
+        "labeltop": True,
+        "labelleft": True,
+        "labelright": True,
+    }
+
+    ax_ref.tick_params(axis=which, **target)
+
+    ax_test.tick_params(axis=which, **target)
+    ax_test.clear()
+
+    ax_ref.grid(True)
+    ax_test.grid(True)
+
+
+@pytest.mark.skipif(
+    sys.version_info[:3] == (3, 13, 0) and sys.version_info.releaselevel != "final",
+    reason="https://github.com/python/cpython/issues/124538",
+)
+def test_axes_clear_reference_cycle():
+    def assert_not_in_reference_cycle(start):
+        # Breadth first search. Return True if we encounter the starting node
+        to_visit = deque([start])
+        explored = set()
+        while len(to_visit) > 0:
+            parent = to_visit.popleft()
+            for child in gc.get_referents(parent):
+                if id(child) in explored:
+                    continue
+                assert child is not start
+                explored.add(id(child))
+                to_visit.append(child)
+
+    fig = Figure()
+    ax = fig.add_subplot()
+    points = np.random.rand(1000)
+    ax.plot(points, points)
+    ax.scatter(points, points)
+    ax_children = ax.get_children()
+    fig.clear()  # This should break the reference cycle
+
+    # Care most about the objects that scale with number of points
+    big_artists = [
+        a for a in ax_children
+        if isinstance(a, (Line2D, PathCollection))
+    ]
+    assert len(big_artists) > 0
+    for big_artist in big_artists:
+        assert_not_in_reference_cycle(big_artist)
+    assert len(ax_children) > 0
+    for child in ax_children:
+        # Make sure this doesn't raise because the child is already removed.
+        try:
+            child.remove()
+        except NotImplementedError:
+            pass  # not implemented is expected for some artists
+
+
+def test_boxplot_tick_labels():
+    # Test the renamed `tick_labels` parameter.
+    # Test for deprecation of old name `labels`.
+    np.random.seed(19680801)
+    data = np.random.random((10, 3))
+
+    fig, axs = plt.subplots(nrows=1, ncols=2, sharey=True)
+    # Should get deprecation warning for `labels`
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='has been renamed \'tick_labels\''):
+        axs[0].boxplot(data, labels=['A', 'B', 'C'])
+    assert [l.get_text() for l in axs[0].get_xticklabels()] == ['A', 'B', 'C']
+
+    # Test the new tick_labels parameter
+    axs[1].boxplot(data, tick_labels=['A', 'B', 'C'])
+    assert [l.get_text() for l in axs[1].get_xticklabels()] == ['A', 'B', 'C']
+
+
+@needs_usetex
+@check_figures_equal()
+def test_latex_pie_percent(fig_test, fig_ref):
+
+    data = [20, 10, 70]
+
+    ax = fig_test.subplots()
+    ax.pie(data, autopct="%1.0f%%", textprops={'usetex': True})
+
+    ax1 = fig_ref.subplots()
+    ax1.pie(data, autopct=r"%1.0f\%%", textprops={'usetex': True})
+
+
+@check_figures_equal()
+def test_violinplot_orientation(fig_test, fig_ref):
+    # Test the `orientation : {'vertical', 'horizontal'}`
+    # parameter and deprecation of `vert: bool`.
+    fig, axs = plt.subplots(nrows=1, ncols=3)
+    np.random.seed(19680801)
+    all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
+
+    axs[0].violinplot(all_data)  # Default vertical plot.
+    # xticks and yticks should be at their default position.
+    assert all(axs[0].get_xticks() == np.array(
+        [0.5, 1., 1.5, 2., 2.5, 3., 3.5, 4., 4.5]))
+    assert all(axs[0].get_yticks() == np.array(
+        [-30., -20., -10., 0., 10., 20., 30.]))
+
+    # Horizontal plot using new `orientation` keyword.
+    axs[1].violinplot(all_data, orientation='horizontal')
+    # xticks and yticks should be swapped.
+    assert all(axs[1].get_xticks() == np.array(
+        [-30., -20., -10., 0., 10., 20., 30.]))
+    assert all(axs[1].get_yticks() == np.array(
+        [0.5, 1., 1.5, 2., 2.5, 3., 3.5, 4., 4.5]))
+
+    plt.close()
+
+    # Deprecation of `vert: bool` keyword
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='vert: bool was deprecated in Matplotlib 3.11'):
+        # Compare images between a figure that
+        # uses vert and one that uses orientation.
+        ax_ref = fig_ref.subplots()
+        ax_ref.violinplot(all_data, vert=False)
+
+    ax_test = fig_test.subplots()
+    ax_test.violinplot(all_data, orientation='horizontal')
+
+
+@check_figures_equal()
+def test_boxplot_orientation(fig_test, fig_ref):
+    # Test the `orientation : {'vertical', 'horizontal'}`
+    # parameter and deprecation of `vert: bool`.
+    fig, axs = plt.subplots(nrows=1, ncols=2)
+    np.random.seed(19680801)
+    all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]
+
+    axs[0].boxplot(all_data)  # Default vertical plot.
+    # xticks and yticks should be at their default position.
+    assert all(axs[0].get_xticks() == np.array(
+        [1, 2, 3, 4]))
+    assert all(axs[0].get_yticks() == np.array(
+        [-30., -20., -10., 0., 10., 20., 30.]))
+
+    # Horizontal plot using new `orientation` keyword.
+    axs[1].boxplot(all_data, orientation='horizontal')
+    # xticks and yticks should be swapped.
+    assert all(axs[1].get_xticks() == np.array(
+        [-30., -20., -10., 0., 10., 20., 30.]))
+    assert all(axs[1].get_yticks() == np.array(
+        [1, 2, 3, 4]))
+
+    plt.close()
+
+    # Deprecation of `vert: bool` keyword and
+    # 'boxplot.vertical' rcparam.
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='was deprecated in Matplotlib 3.10'):
+        # Compare images between a figure that
+        # uses vert and one that uses orientation.
+        with mpl.rc_context({'boxplot.vertical': False}):
+            ax_ref = fig_ref.subplots()
+            ax_ref.boxplot(all_data)
+
+        ax_test = fig_test.subplots()
+        ax_test.boxplot(all_data, orientation='horizontal')
+
+
+@image_comparison(["use_colorizer_keyword.png"],
+                   tol=0 if platform.machine() == 'x86_64' else 0.05)
+def test_use_colorizer_keyword():
+    # test using the colorizer keyword
+    np.random.seed(0)
+    rand_x = np.random.random(100)
+    rand_y = np.random.random(100)
+    c = np.arange(25, dtype='float32').reshape((5, 5))
+
+    fig, axes = plt.subplots(3, 4)
+    norm = mpl.colors.Normalize(4, 20)
+    cl = mpl.colorizer.Colorizer(norm=norm, cmap='RdBu')
+
+    axes[0, 0].scatter(c, c, c=c, colorizer=cl)
+    axes[0, 1].hexbin(rand_x, rand_y, colorizer=cl, gridsize=(2, 2))
+    axes[0, 2].imshow(c, colorizer=cl)
+    axes[0, 3].pcolor(c, colorizer=cl)
+    axes[1, 0].pcolormesh(c, colorizer=cl)
+    axes[1, 1].pcolorfast(c, colorizer=cl)  # style = image
+    axes[1, 2].pcolorfast((0, 1, 2, 3, 4, 5), (0, 1, 2, 3, 5, 6),  c,
+                          colorizer=cl)  # style = pcolorimage
+    axes[1, 3].pcolorfast(c.T, c, c[:4, :4], colorizer=cl)  # style = quadmesh
+    axes[2, 0].contour(c, colorizer=cl)
+    axes[2, 1].contourf(c, colorizer=cl)
+    axes[2, 2].tricontour(c.T.ravel(), c.ravel(), c.ravel(), colorizer=cl)
+    axes[2, 3].tricontourf(c.T.ravel(), c.ravel(), c.ravel(), colorizer=cl)
+
+    fig.figimage(np.repeat(np.repeat(c, 15, axis=0), 15, axis=1), colorizer=cl)
+    remove_ticks_and_titles(fig)
+
+
+def test_wrong_use_colorizer():
+    # test using the colorizer keyword and norm or cmap
+    np.random.seed(0)
+    rand_x = np.random.random(100)
+    rand_y = np.random.random(100)
+    c = np.arange(25, dtype='float32').reshape((5, 5))
+
+    fig, axes = plt.subplots(3, 4)
+    norm = mpl.colors.Normalize(4, 20)
+    cl = mpl.colorizer.Colorizer(norm=norm, cmap='RdBu')
+
+    match_str = "The `colorizer` keyword cannot be used simultaneously"
+    kwrds = [{'vmin': 0}, {'vmax': 0}, {'norm': 'log'}, {'cmap': 'viridis'}]
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[0, 0].scatter(c, c, c=c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[0, 0].scatter(c, c, c=c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[0, 1].hexbin(rand_x, rand_y, colorizer=cl, gridsize=(2, 2), **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[0, 2].imshow(c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[0, 3].pcolor(c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[1, 0].pcolormesh(c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[1, 1].pcolorfast(c, colorizer=cl, **kwrd)  # style = image
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[1, 2].pcolorfast((0, 1, 2, 3, 4, 5), (0, 1, 2, 3, 5, 6),  c,
+                                  colorizer=cl, **kwrd)  # style = pcolorimage
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[1, 3].pcolorfast(c.T, c, c[:4, :4], colorizer=cl, **kwrd)  # quadmesh
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[2, 0].contour(c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[2, 1].contourf(c, colorizer=cl, **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[2, 2].tricontour(c.T.ravel(), c.ravel(), c.ravel(), colorizer=cl,
+                                  **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            axes[2, 3].tricontourf(c.T.ravel(), c.ravel(), c.ravel(), colorizer=cl,
+                                   **kwrd)
+    for kwrd in kwrds:
+        with pytest.raises(ValueError, match=match_str):
+            fig.figimage(c, colorizer=cl, **kwrd)
+
+
+def test_bar_color_precedence():
+    # Test the precedence of 'color' and 'facecolor' in bar plots
+    fig, ax = plt.subplots()
+
+    # case 1: no color specified
+    bars = ax.bar([1, 2, 3], [4, 5, 6])
+    for bar in bars:
+        assert mcolors.same_color(bar.get_facecolor(), 'blue')
+
+    # case 2: Only 'color'
+    bars = ax.bar([11, 12, 13], [4, 5, 6], color='red')
+    for bar in bars:
+        assert mcolors.same_color(bar.get_facecolor(), 'red')
+
+    # case 3: Only 'facecolor'
+    bars = ax.bar([21, 22, 23], [4, 5, 6], facecolor='yellow')
+    for bar in bars:
+        assert mcolors.same_color(bar.get_facecolor(), 'yellow')
+
+    # case 4: 'facecolor' and 'color'
+    bars = ax.bar([31, 32, 33], [4, 5, 6], color='red', facecolor='green')
+    for bar in bars:
+        assert mcolors.same_color(bar.get_facecolor(), 'green')
+
+
+@check_figures_equal()
+def test_axes_set_position_external_bbox_unchanged(fig_test, fig_ref):
+    # From #29410: Modifying Axes' position also alters the original Bbox
+    # object used for initialization
+    bbox = mtransforms.Bbox([[0.0, 0.0], [1.0, 1.0]])
+    ax_test = fig_test.add_axes(bbox)
+    ax_test.set_position([0.25, 0.25, 0.5, 0.5])
+    assert (bbox.x0, bbox.y0, bbox.width, bbox.height) == (0.0, 0.0, 1.0, 1.0)
+    ax_ref = fig_ref.add_axes([0.25, 0.25, 0.5, 0.5])
+
+
+def test_bar_shape_mismatch():
+    x = ["foo", "bar"]
+    height = [1, 2, 3]
+    error_message = (
+        r"Mismatch is between 'x' with shape \(2,\) and 'height' with shape \(3,\)"
+    )
+    with pytest.raises(ValueError, match=error_message):
+        plt.bar(x, height)
+
+
+def test_caps_color():
+
+    # Creates a simple plot with error bars and a specified ecolor
+    x = np.linspace(0, 10, 10)
+    mpl.rcParams['lines.markeredgecolor'] = 'green'
+    ecolor = 'red'
+
+    fig, ax = plt.subplots()
+    errorbars = ax.errorbar(x, np.sin(x), yerr=0.1, ecolor=ecolor)
+
+    # Tests if the caps have the specified color
+    for cap in errorbars[2]:
+        assert mcolors.same_color(cap.get_edgecolor(), ecolor)
+
+
+def test_caps_no_ecolor():
+
+    # Creates a simple plot with error bars without specifying ecolor
+    x = np.linspace(0, 10, 10)
+    mpl.rcParams['lines.markeredgecolor'] = 'green'
+    fig, ax = plt.subplots()
+    errorbars = ax.errorbar(x, np.sin(x), yerr=0.1)
+
+    # Tests if the caps have the default color (blue)
+    for cap in errorbars[2]:
+        assert mcolors.same_color(cap.get_edgecolor(), "blue")
+
+
+def test_pie_non_finite_values():
+    fig, ax = plt.subplots()
+    df = [5, float('nan'), float('inf')]
+
+    with pytest.raises(ValueError, match='Wedge sizes must be finite numbers'):
+        ax.pie(df, labels=['A', 'B', 'C'])
+
+
+def test_pie_all_zeros():
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match="All wedge sizes are zero"):
+        ax.pie([0, 0], labels=["A", "B"])
diff --git a/lib/matplotlib/tests/test_axes_grid1.py b/lib/matplotlib/tests/test_axes_grid1.py
deleted file mode 100644
index 9624d2276d7a..000000000000
--- a/lib/matplotlib/tests/test_axes_grid1.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import image_comparison
-from mpl_toolkits.axes_grid1 import make_axes_locatable
-import numpy as np
-
-
-@image_comparison(baseline_images=['divider_append_axes'])
-def test_divider_append_axes():
-
-    # the random data
-    np.random.seed(0)
-    x = np.random.randn(1000)
-    y = np.random.randn(1000)
-
-    fig, axScatter = plt.subplots()
-
-    # the scatter plot:
-    axScatter.scatter(x, y)
-
-    # create new axes on the right and on the top of the current axes
-    # The first argument of the new_vertical(new_horizontal) method is
-    # the height (width) of the axes to be created in inches.
-    divider = make_axes_locatable(axScatter)
-    axHistbot = divider.append_axes("bottom", 1.2, pad=0.1, sharex=axScatter)
-    axHistright = divider.append_axes("right", 1.2, pad=0.1, sharey=axScatter)
-    axHistleft = divider.append_axes("left", 1.2, pad=0.1, sharey=axScatter)
-    axHisttop = divider.append_axes("top", 1.2, pad=0.1, sharex=axScatter)
-
-    # now determine nice limits by hand:
-    binwidth = 0.25
-    xymax = np.max([np.max(np.fabs(x)), np.max(np.fabs(y))])
-    lim = (int(xymax/binwidth) + 1) * binwidth
-
-    bins = np.arange(-lim, lim + binwidth, binwidth)
-    axHisttop.hist(x, bins=bins)
-    axHistbot.hist(x, bins=bins)
-    axHistleft.hist(y, bins=bins, orientation='horizontal')
-    axHistright.hist(y, bins=bins, orientation='horizontal')
-
-    axHistbot.invert_yaxis()
-    axHistleft.invert_xaxis()
-
-    axHisttop.xaxis.set_ticklabels(())
-    axHistbot.xaxis.set_ticklabels(())
-    axHistleft.yaxis.set_ticklabels(())
-    axHistright.yaxis.set_ticklabels(())
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
diff --git a/lib/matplotlib/tests/test_axis.py b/lib/matplotlib/tests/test_axis.py
new file mode 100644
index 000000000000..e33656ea9c17
--- /dev/null
+++ b/lib/matplotlib/tests/test_axis.py
@@ -0,0 +1,69 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+from matplotlib.axis import XTick
+
+
+def test_tick_labelcolor_array():
+    # Smoke test that we can instantiate a Tick with labelcolor as array.
+    ax = plt.axes()
+    XTick(ax, 0, labelcolor=np.array([1, 0, 0, 1]))
+
+
+def test_axis_not_in_layout():
+    fig1, (ax1_left, ax1_right) = plt.subplots(ncols=2, layout='constrained')
+    fig2, (ax2_left, ax2_right) = plt.subplots(ncols=2, layout='constrained')
+
+    # 100 label overlapping the end of the axis
+    ax1_left.set_xlim([0, 100])
+    # 100 label not overlapping the end of the axis
+    ax2_left.set_xlim([0, 120])
+
+    for ax in ax1_left, ax2_left:
+        ax.set_xticks([0, 100])
+        ax.xaxis.set_in_layout(False)
+
+    for fig in fig1, fig2:
+        fig.draw_without_rendering()
+
+    # Positions should not be affected by overlapping 100 label
+    assert ax1_left.get_position().bounds == ax2_left.get_position().bounds
+    assert ax1_right.get_position().bounds == ax2_right.get_position().bounds
+
+
+def test_translate_tick_params_reverse():
+    fig, ax = plt.subplots()
+    kw = {'label1On': 'a', 'label2On': 'b', 'tick1On': 'c', 'tick2On': 'd'}
+    assert (ax.xaxis._translate_tick_params(kw, reverse=True) ==
+            {'labelbottom': 'a', 'labeltop': 'b', 'bottom': 'c', 'top': 'd'})
+    assert (ax.yaxis._translate_tick_params(kw, reverse=True) ==
+            {'labelleft': 'a', 'labelright': 'b', 'left': 'c', 'right': 'd'})
+
+
+def test_get_tick_position_rcParams():
+    """Test that get_tick_position() correctly picks up rcParams tick positions."""
+    plt.rcParams.update({
+        "xtick.top": 1, "xtick.labeltop": 1, "xtick.bottom": 0, "xtick.labelbottom": 0,
+        "ytick.right": 1, "ytick.labelright": 1, "ytick.left": 0, "ytick.labelleft": 0,
+    })
+    ax = plt.figure().add_subplot()
+    assert ax.xaxis.get_ticks_position() == "top"
+    assert ax.yaxis.get_ticks_position() == "right"
+
+
+def test_get_tick_position_tick_top_tick_right():
+    """Test that get_tick_position() correctly picks up tick_top() / tick_right()."""
+    ax = plt.figure().add_subplot()
+    ax.xaxis.tick_top()
+    ax.yaxis.tick_right()
+    assert ax.xaxis.get_ticks_position() == "top"
+    assert ax.yaxis.get_ticks_position() == "right"
+
+
+def test_get_tick_position_tick_params():
+    """Test that get_tick_position() correctly picks up tick_params()."""
+    ax = plt.figure().add_subplot()
+    ax.tick_params(top=True, labeltop=True, bottom=False, labelbottom=False,
+                   right=True, labelright=True, left=False, labelleft=False)
+    assert ax.xaxis.get_ticks_position() == "top"
+    assert ax.yaxis.get_ticks_position() == "right"
diff --git a/lib/matplotlib/tests/test_backend_bases.py b/lib/matplotlib/tests/test_backend_bases.py
index 643ebc89adeb..0205eac42fb3 100644
--- a/lib/matplotlib/tests/test_backend_bases.py
+++ b/lib/matplotlib/tests/test_backend_bases.py
@@ -1,13 +1,28 @@
-from matplotlib.backend_bases import RendererBase
-import matplotlib.transforms as transforms
-import matplotlib.path as path
+import importlib
+
+from matplotlib import path, transforms
+from matplotlib.backend_bases import (
+    FigureCanvasBase, KeyEvent, LocationEvent, MouseButton, MouseEvent,
+    NavigationToolbar2, RendererBase)
+from matplotlib.backend_tools import RubberbandBase
+from matplotlib.figure import Figure
+from matplotlib.testing._markers import needs_pgf_xelatex
+import matplotlib.pyplot as plt
+
 import numpy as np
+import pytest
+
+
+_EXPECTED_WARNING_TOOLMANAGER = (
+    r"Treat the new Tool classes introduced in "
+    r"v[0-9]*.[0-9]* as experimental for now; "
+    "the API and rcParam may change in future versions.")
 
 
 def test_uses_per_path():
     id = transforms.Affine2D()
     paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]
-    tforms = [id.rotate(i) for i in range(1, 5)]
+    tforms_matrices = [id.rotate(i).get_matrix().copy() for i in range(1, 5)]
     offsets = np.arange(20).reshape((10, 2))
     facecolors = ['red', 'green']
     edgecolors = ['red', 'green']
@@ -15,31 +30,554 @@ def test_uses_per_path():
     def check(master_transform, paths, all_transforms,
               offsets, facecolors, edgecolors):
         rb = RendererBase()
-        raw_paths = list(rb._iter_collection_raw_paths(master_transform,
-                                                       paths, all_transforms))
+        raw_paths = list(rb._iter_collection_raw_paths(
+            master_transform, paths, all_transforms))
         gc = rb.new_gc()
         ids = [path_id for xo, yo, path_id, gc0, rgbFace in
-               rb._iter_collection(gc, master_transform, all_transforms,
-                                   range(len(raw_paths)), offsets,
-                                   transforms.IdentityTransform(),
-                                   facecolors, edgecolors, [], [], [False],
-                                   [], 'data')]
+               rb._iter_collection(
+                   gc, range(len(raw_paths)), offsets,
+                   transforms.AffineDeltaTransform(master_transform),
+                   facecolors, edgecolors, [], [], [False],
+                   [], 'screen', hatchcolors=[])]
         uses = rb._iter_collection_uses_per_path(
             paths, all_transforms, offsets, facecolors, edgecolors)
-        seen = [0] * len(raw_paths)
-        for i in ids:
-            seen[i] += 1
-        for n in seen:
-            assert n in (uses-1, uses)
-
-    check(id, paths, tforms, offsets, facecolors, edgecolors)
-    check(id, paths[0:1], tforms, offsets, facecolors, edgecolors)
-    check(id, [], tforms, offsets, facecolors, edgecolors)
-    check(id, paths, tforms[0:1], offsets, facecolors, edgecolors)
+        if raw_paths:
+            seen = np.bincount(ids, minlength=len(raw_paths))
+            assert set(seen).issubset([uses - 1, uses])
+
+    check(id, paths, tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, paths[0:1], tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, [], tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, paths, tforms_matrices[0:1], offsets, facecolors, edgecolors)
     check(id, paths, [], offsets, facecolors, edgecolors)
     for n in range(0, offsets.shape[0]):
-        check(id, paths, tforms, offsets[0:n, :], facecolors, edgecolors)
-    check(id, paths, tforms, offsets, [], edgecolors)
-    check(id, paths, tforms, offsets, facecolors, [])
-    check(id, paths, tforms, offsets, [], [])
-    check(id, paths, tforms, offsets, facecolors[0:1], edgecolors)
+        check(id, paths, tforms_matrices, offsets[0:n, :],
+              facecolors, edgecolors)
+    check(id, paths, tforms_matrices, offsets, [], edgecolors)
+    check(id, paths, tforms_matrices, offsets, facecolors, [])
+    check(id, paths, tforms_matrices, offsets, [], [])
+    check(id, paths, tforms_matrices, offsets, facecolors[0:1], edgecolors)
+
+
+def test_canvas_ctor():
+    assert isinstance(FigureCanvasBase().figure, Figure)
+
+
+def test_get_default_filename():
+    fig = plt.figure()
+    assert fig.canvas.get_default_filename() == "Figure_1.png"
+    fig.canvas.manager.set_window_title("0:1/2<3")
+    assert fig.canvas.get_default_filename() == "0_1_2_3.png"
+
+
+def test_canvas_change():
+    fig = plt.figure()
+    # Replaces fig.canvas
+    canvas = FigureCanvasBase(fig)
+    # Should still work.
+    plt.close(fig)
+    assert not plt.fignum_exists(fig.number)
+
+
+@pytest.mark.backend('pdf')
+def test_non_gui_warning(monkeypatch):
+    plt.subplots()
+
+    monkeypatch.setenv("DISPLAY", ":999")
+
+    with pytest.warns(UserWarning) as rec:
+        plt.show()
+        assert len(rec) == 1
+        assert ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
+                in str(rec[0].message))
+
+    with pytest.warns(UserWarning) as rec:
+        plt.gcf().show()
+        assert len(rec) == 1
+        assert ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
+                in str(rec[0].message))
+
+
+def test_grab_clear():
+    fig, ax = plt.subplots()
+
+    fig.canvas.grab_mouse(ax)
+    assert fig.canvas.mouse_grabber == ax
+
+    fig.clear()
+    assert fig.canvas.mouse_grabber is None
+
+
+@pytest.mark.parametrize(
+    "x, y", [(42, 24), (None, 42), (None, None), (200, 100.01), (205.75, 2.0)])
+def test_location_event_position(x, y):
+    # LocationEvent should cast its x and y arguments to int unless it is None.
+    fig, ax = plt.subplots()
+    canvas = FigureCanvasBase(fig)
+    event = LocationEvent("test_event", canvas, x, y)
+    if x is None:
+        assert event.x is None
+    else:
+        assert event.x == int(x)
+        assert isinstance(event.x, int)
+    if y is None:
+        assert event.y is None
+    else:
+        assert event.y == int(y)
+        assert isinstance(event.y, int)
+    if x is not None and y is not None:
+        assert (ax.format_coord(x, y)
+                == f"(x, y) = ({ax.format_xdata(x)}, {ax.format_ydata(y)})")
+        ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"
+        assert ax.format_coord(x, y) == "(x, y) = (foo, foo)"
+
+
+def test_location_event_position_twin():
+    fig, ax = plt.subplots()
+    ax.set(xlim=(0, 10), ylim=(0, 20))
+    assert ax.format_coord(5., 5.) == "(x, y) = (5.00, 5.00)"
+    ax.twinx().set(ylim=(0, 40))
+    assert ax.format_coord(5., 5.) == "(x, y) = (5.00, 5.00) | (5.00, 10.0)"
+    ax.twiny().set(xlim=(0, 5))
+    assert (ax.format_coord(5., 5.)
+            == "(x, y) = (5.00, 5.00) | (5.00, 10.0) | (2.50, 5.00)")
+
+
+def test_pick():
+    fig = plt.figure()
+    fig.text(.5, .5, "hello", ha="center", va="center", picker=True)
+    fig.canvas.draw()
+
+    picks = []
+    def handle_pick(event):
+        assert event.mouseevent.key == "a"
+        picks.append(event)
+    fig.canvas.mpl_connect("pick_event", handle_pick)
+
+    KeyEvent("key_press_event", fig.canvas, "a")._process()
+    MouseEvent("button_press_event", fig.canvas,
+               *fig.transFigure.transform((.5, .5)),
+               MouseButton.LEFT)._process()
+    KeyEvent("key_release_event", fig.canvas, "a")._process()
+    assert len(picks) == 1
+
+
+def test_interactive_zoom():
+    fig, ax = plt.subplots()
+    ax.set(xscale="logit")
+    assert ax.get_navigate_mode() is None
+
+    tb = NavigationToolbar2(fig.canvas)
+    tb.zoom()
+    assert ax.get_navigate_mode() == 'ZOOM'
+
+    xlim0 = ax.get_xlim()
+    ylim0 = ax.get_ylim()
+
+    # Zoom from x=1e-6, y=0.1 to x=1-1e-5, 0.8 (data coordinates, "d").
+    d0 = (1e-6, 0.1)
+    d1 = (1-1e-5, 0.8)
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to d0/d1.
+    s0 = ax.transData.transform(d0).astype(int)
+    s1 = ax.transData.transform(d1).astype(int)
+
+    # Zoom in.
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s0, MouseButton.LEFT)
+    fig.canvas.callbacks.process(start_event.name, start_event)
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s1, MouseButton.LEFT)
+    fig.canvas.callbacks.process(stop_event.name, stop_event)
+    assert ax.get_xlim() == (start_event.xdata, stop_event.xdata)
+    assert ax.get_ylim() == (start_event.ydata, stop_event.ydata)
+
+    # Zoom out.
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s1, MouseButton.RIGHT)
+    fig.canvas.callbacks.process(start_event.name, start_event)
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s0, MouseButton.RIGHT)
+    fig.canvas.callbacks.process(stop_event.name, stop_event)
+    # Absolute tolerance much less than original xmin (1e-7).
+    assert ax.get_xlim() == pytest.approx(xlim0, rel=0, abs=1e-10)
+    assert ax.get_ylim() == pytest.approx(ylim0, rel=0, abs=1e-10)
+
+    tb.zoom()
+    assert ax.get_navigate_mode() is None
+
+    assert not ax.get_autoscalex_on() and not ax.get_autoscaley_on()
+
+
+def test_widgetlock_zoompan():
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1])
+    fig.canvas.widgetlock(ax)
+    tb = NavigationToolbar2(fig.canvas)
+    tb.zoom()
+    assert ax.get_navigate_mode() is None
+    tb.pan()
+    assert ax.get_navigate_mode() is None
+
+
+@pytest.mark.parametrize("plot_func", ["imshow", "contourf"])
+@pytest.mark.parametrize("orientation", ["vertical", "horizontal"])
+@pytest.mark.parametrize("tool,button,expected",
+                         [("zoom", MouseButton.LEFT, (4, 6)),  # zoom in
+                          ("zoom", MouseButton.RIGHT, (-20, 30)),  # zoom out
+                          ("pan", MouseButton.LEFT, (-2, 8)),
+                          ("pan", MouseButton.RIGHT, (1.47, 7.78))])  # zoom
+def test_interactive_colorbar(plot_func, orientation, tool, button, expected):
+    fig, ax = plt.subplots()
+    data = np.arange(12).reshape((4, 3))
+    vmin0, vmax0 = 0, 10
+    coll = getattr(ax, plot_func)(data, vmin=vmin0, vmax=vmax0)
+
+    cb = fig.colorbar(coll, ax=ax, orientation=orientation)
+    if plot_func == "contourf":
+        # Just determine we can't navigate and exit out of the test
+        assert not cb.ax.get_navigate()
+        return
+
+    assert cb.ax.get_navigate()
+
+    # Mouse from 4 to 6 (data coordinates, "d").
+    vmin, vmax = 4, 6
+    # The y coordinate doesn't matter, it just needs to be between 0 and 1
+    # However, we will set d0/d1 to the same y coordinate to test that small
+    # pixel changes in that coordinate doesn't cancel the zoom like a normal
+    # axes would.
+    d0 = (vmin, 0.5)
+    d1 = (vmax, 0.5)
+    # Swap them if the orientation is vertical
+    if orientation == "vertical":
+        d0 = d0[::-1]
+        d1 = d1[::-1]
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to d0/d1.
+    s0 = cb.ax.transData.transform(d0).astype(int)
+    s1 = cb.ax.transData.transform(d1).astype(int)
+
+    # Set up the mouse movements
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s0, button)
+    drag_event = MouseEvent(
+        "motion_notify_event", fig.canvas, *s1, button, buttons={button})
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s1, button)
+
+    tb = NavigationToolbar2(fig.canvas)
+    if tool == "zoom":
+        tb.zoom()
+        tb.press_zoom(start_event)
+        tb.drag_zoom(drag_event)
+        tb.release_zoom(stop_event)
+    else:
+        tb.pan()
+        tb.press_pan(start_event)
+        tb.drag_pan(drag_event)
+        tb.release_pan(stop_event)
+
+    # Should be close, but won't be exact due to screen integer resolution
+    assert (cb.vmin, cb.vmax) == pytest.approx(expected, abs=0.15)
+
+
+def test_toolbar_zoompan():
+    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
+        plt.rcParams['toolbar'] = 'toolmanager'
+    ax = plt.gca()
+    fig = ax.get_figure()
+    assert ax.get_navigate_mode() is None
+    fig.canvas.manager.toolmanager.trigger_tool('zoom')
+    assert ax.get_navigate_mode() == "ZOOM"
+    fig.canvas.manager.toolmanager.trigger_tool('pan')
+    assert ax.get_navigate_mode() == "PAN"
+
+
+def test_toolbar_home_restores_autoscale():
+    fig, ax = plt.subplots()
+    ax.plot(range(11), range(11))
+
+    tb = NavigationToolbar2(fig.canvas)
+    tb.zoom()
+
+    # Switch to log.
+    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
+    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
+    assert ax.get_xlim() == ax.get_ylim() == (1, 10)  # Autolimits excluding 0.
+    # Switch back to linear.
+    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
+    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
+    assert ax.get_xlim() == ax.get_ylim() == (0, 10)  # Autolimits.
+
+    # Zoom in from (x, y) = (2, 2) to (5, 5).
+    start, stop = ax.transData.transform([(2, 2), (5, 5)])
+    MouseEvent("button_press_event", fig.canvas, *start, MouseButton.LEFT)._process()
+    MouseEvent("button_release_event", fig.canvas, *stop, MouseButton.LEFT)._process()
+    # Go back to home.
+    KeyEvent("key_press_event", fig.canvas, "h")._process()
+
+    assert ax.get_xlim() == ax.get_ylim() == (0, 10)
+    # Switch to log.
+    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
+    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
+    assert ax.get_xlim() == ax.get_ylim() == (1, 10)  # Autolimits excluding 0.
+
+
+@pytest.mark.parametrize(
+    "backend", ['svg', 'ps', 'pdf',
+                pytest.param('pgf', marks=needs_pgf_xelatex)]
+)
+def test_draw(backend):
+    from matplotlib.figure import Figure
+    from matplotlib.backends.backend_agg import FigureCanvas
+    test_backend = importlib.import_module(f'matplotlib.backends.backend_{backend}')
+    TestCanvas = test_backend.FigureCanvas
+    fig_test = Figure(constrained_layout=True)
+    TestCanvas(fig_test)
+    axes_test = fig_test.subplots(2, 2)
+
+    # defaults to FigureCanvasBase
+    fig_agg = Figure(constrained_layout=True)
+    # put a backends.backend_agg.FigureCanvas on it
+    FigureCanvas(fig_agg)
+    axes_agg = fig_agg.subplots(2, 2)
+
+    init_pos = [ax.get_position() for ax in axes_test.ravel()]
+
+    fig_test.canvas.draw()
+    fig_agg.canvas.draw()
+
+    layed_out_pos_test = [ax.get_position() for ax in axes_test.ravel()]
+    layed_out_pos_agg = [ax.get_position() for ax in axes_agg.ravel()]
+
+    for init, placed in zip(init_pos, layed_out_pos_test):
+        assert not np.allclose(init, placed, atol=0.005)
+
+    for ref, test in zip(layed_out_pos_agg, layed_out_pos_test):
+        np.testing.assert_allclose(ref, test, atol=0.005)
+
+
+@pytest.mark.parametrize(
+    "key,mouseend,expectedxlim,expectedylim",
+    [(None, (0.2, 0.2), (3.49, 12.49), (2.7, 11.7)),
+     (None, (0.2, 0.5), (3.49, 12.49), (0, 9)),
+     (None, (0.5, 0.2), (0, 9), (2.7, 11.7)),
+     (None, (0.5, 0.5), (0, 9), (0, 9)),  # No move
+     (None, (0.8, 0.25), (-3.47, 5.53), (2.25, 11.25)),
+     (None, (0.2, 0.25), (3.49, 12.49), (2.25, 11.25)),
+     (None, (0.8, 0.85), (-3.47, 5.53), (-3.14, 5.86)),
+     (None, (0.2, 0.85), (3.49, 12.49), (-3.14, 5.86)),
+     ("shift", (0.2, 0.4), (3.49, 12.49), (0, 9)),  # snap to x
+     ("shift", (0.4, 0.2), (0, 9), (2.7, 11.7)),  # snap to y
+     ("shift", (0.2, 0.25), (3.49, 12.49), (3.49, 12.49)),  # snap to diagonal
+     ("shift", (0.8, 0.25), (-3.47, 5.53), (3.47, 12.47)),  # snap to diagonal
+     ("shift", (0.8, 0.9), (-3.58, 5.41), (-3.58, 5.41)),  # snap to diagonal
+     ("shift", (0.2, 0.85), (3.49, 12.49), (-3.49, 5.51)),  # snap to diagonal
+     ("x", (0.2, 0.1), (3.49, 12.49), (0, 9)),  # only x
+     ("y", (0.1, 0.2), (0, 9), (2.7, 11.7)),  # only y
+     ("control", (0.2, 0.2), (3.49, 12.49), (3.49, 12.49)),  # diagonal
+     ("control", (0.4, 0.2), (2.72, 11.72), (2.72, 11.72)),  # diagonal
+     ])
+def test_interactive_pan(key, mouseend, expectedxlim, expectedylim):
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10))
+    assert ax.get_navigate()
+    # Set equal aspect ratio to easier see diagonal snap
+    ax.set_aspect('equal')
+
+    # Mouse move starts from 0.5, 0.5
+    mousestart = (0.5, 0.5)
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to d0/d1.
+    sstart = ax.transData.transform(mousestart).astype(int)
+    send = ax.transData.transform(mouseend).astype(int)
+
+    # Set up the mouse movements
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *sstart, button=MouseButton.LEFT,
+        key=key)
+    drag_event = MouseEvent(
+        "motion_notify_event", fig.canvas, *send, button=MouseButton.LEFT,
+        buttons={MouseButton.LEFT}, key=key)
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *send, button=MouseButton.LEFT,
+        key=key)
+
+    tb = NavigationToolbar2(fig.canvas)
+    tb.pan()
+    tb.press_pan(start_event)
+    tb.drag_pan(drag_event)
+    tb.release_pan(stop_event)
+    # Should be close, but won't be exact due to screen integer resolution
+    assert tuple(ax.get_xlim()) == pytest.approx(expectedxlim, abs=0.02)
+    assert tuple(ax.get_ylim()) == pytest.approx(expectedylim, abs=0.02)
+
+
+def test_toolmanager_remove():
+    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
+        plt.rcParams['toolbar'] = 'toolmanager'
+    fig = plt.gcf()
+    initial_len = len(fig.canvas.manager.toolmanager.tools)
+    assert 'forward' in fig.canvas.manager.toolmanager.tools
+    fig.canvas.manager.toolmanager.remove_tool('forward')
+    assert len(fig.canvas.manager.toolmanager.tools) == initial_len - 1
+    assert 'forward' not in fig.canvas.manager.toolmanager.tools
+
+
+def test_toolmanager_get_tool():
+    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
+        plt.rcParams['toolbar'] = 'toolmanager'
+    fig = plt.gcf()
+    rubberband = fig.canvas.manager.toolmanager.get_tool('rubberband')
+    assert isinstance(rubberband, RubberbandBase)
+    assert fig.canvas.manager.toolmanager.get_tool(rubberband) is rubberband
+    with pytest.warns(UserWarning,
+                      match="ToolManager does not control tool 'foo'"):
+        assert fig.canvas.manager.toolmanager.get_tool('foo') is None
+    assert fig.canvas.manager.toolmanager.get_tool('foo', warn=False) is None
+
+    with pytest.warns(UserWarning,
+                      match="ToolManager does not control tool 'foo'"):
+        assert fig.canvas.manager.toolmanager.trigger_tool('foo') is None
+
+
+def test_toolmanager_update_keymap():
+    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
+        plt.rcParams['toolbar'] = 'toolmanager'
+    fig = plt.gcf()
+    assert 'v' in fig.canvas.manager.toolmanager.get_tool_keymap('forward')
+    with pytest.warns(UserWarning,
+                      match="Key c changed from back to forward"):
+        fig.canvas.manager.toolmanager.update_keymap('forward', 'c')
+    assert fig.canvas.manager.toolmanager.get_tool_keymap('forward') == ['c']
+    with pytest.raises(KeyError, match="'foo' not in Tools"):
+        fig.canvas.manager.toolmanager.update_keymap('foo', 'c')
+
+
+@pytest.mark.parametrize("tool", ["zoom", "pan"])
+@pytest.mark.parametrize("button", [MouseButton.LEFT, MouseButton.RIGHT])
+@pytest.mark.parametrize("patch_vis", [True, False])
+@pytest.mark.parametrize("forward_nav", [True, False, "auto"])
+@pytest.mark.parametrize("t_s", ["twin", "share"])
+def test_interactive_pan_zoom_events(tool, button, patch_vis, forward_nav, t_s):
+    # Bottom axes: ax_b    Top axes: ax_t
+    fig, ax_b = plt.subplots()
+    ax_t = fig.add_subplot(221, zorder=99)
+    ax_t.set_forward_navigation_events(forward_nav)
+    ax_t.patch.set_visible(patch_vis)
+
+    # ----------------------------
+    if t_s == "share":
+        ax_t_twin = fig.add_subplot(222)
+        ax_t_twin.sharex(ax_t)
+        ax_t_twin.sharey(ax_t)
+
+        ax_b_twin = fig.add_subplot(223)
+        ax_b_twin.sharex(ax_b)
+        ax_b_twin.sharey(ax_b)
+    elif t_s == "twin":
+        ax_t_twin = ax_t.twinx()
+        ax_b_twin = ax_b.twinx()
+
+    # just some styling to simplify manual checks
+    ax_t.set_label("ax_t")
+    ax_t.patch.set_facecolor((1, 0, 0, 0.5))
+
+    ax_t_twin.set_label("ax_t_twin")
+    ax_t_twin.patch.set_facecolor("r")
+
+    ax_b.set_label("ax_b")
+    ax_b.patch.set_facecolor((0, 0, 1, 0.5))
+
+    ax_b_twin.set_label("ax_b_twin")
+    ax_b_twin.patch.set_facecolor("b")
+
+    # ----------------------------
+
+    # Set initial axis limits
+    init_xlim, init_ylim = (0, 10), (0, 10)
+    for ax in [ax_t, ax_b]:
+        ax.set_xlim(*init_xlim)
+        ax.set_ylim(*init_ylim)
+
+    # Mouse from 2 to 1 (in data-coordinates of ax_t).
+    xstart_t, xstop_t, ystart_t, ystop_t = 1, 2, 1, 2
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to s0/s1.
+    s0 = ax_t.transData.transform((xstart_t, ystart_t)).astype(int)
+    s1 = ax_t.transData.transform((xstop_t, ystop_t)).astype(int)
+
+    # Calculate the mouse-distance in data-coordinates of the bottom-axes
+    xstart_b, ystart_b = ax_b.transData.inverted().transform(s0)
+    xstop_b, ystop_b = ax_b.transData.inverted().transform(s1)
+
+    # Set up the mouse movements
+    start_event = MouseEvent("button_press_event", fig.canvas, *s0, button)
+    drag_event = MouseEvent(
+        "motion_notify_event", fig.canvas, *s1, button, buttons={button})
+    stop_event = MouseEvent("button_release_event", fig.canvas, *s1, button)
+
+    tb = NavigationToolbar2(fig.canvas)
+
+    if tool == "zoom":
+        # Evaluate expected limits before executing the zoom-event
+        direction = ("in" if button == 1 else "out")
+
+        xlim_t, ylim_t = ax_t._prepare_view_from_bbox([*s0, *s1], direction)
+
+        if ax_t.get_forward_navigation_events() is True:
+            xlim_b, ylim_b = ax_b._prepare_view_from_bbox([*s0, *s1], direction)
+        elif ax_t.get_forward_navigation_events() is False:
+            xlim_b = init_xlim
+            ylim_b = init_ylim
+        else:
+            if not ax_t.patch.get_visible():
+                xlim_b, ylim_b = ax_b._prepare_view_from_bbox([*s0, *s1], direction)
+            else:
+                xlim_b = init_xlim
+                ylim_b = init_ylim
+
+        tb.zoom()
+
+    else:
+        # Evaluate expected limits
+        # (call start_pan to make sure ax._pan_start is set)
+        ax_t.start_pan(*s0, button)
+        xlim_t, ylim_t = ax_t._get_pan_points(button, None, *s1).T.astype(float)
+        ax_t.end_pan()
+
+        if ax_t.get_forward_navigation_events() is True:
+            ax_b.start_pan(*s0, button)
+            xlim_b, ylim_b = ax_b._get_pan_points(button, None, *s1).T.astype(float)
+            ax_b.end_pan()
+        elif ax_t.get_forward_navigation_events() is False:
+            xlim_b = init_xlim
+            ylim_b = init_ylim
+        else:
+            if not ax_t.patch.get_visible():
+                ax_b.start_pan(*s0, button)
+                xlim_b, ylim_b = ax_b._get_pan_points(button, None, *s1).T.astype(float)
+                ax_b.end_pan()
+            else:
+                xlim_b = init_xlim
+                ylim_b = init_ylim
+
+        tb.pan()
+
+    start_event._process()
+    drag_event._process()
+    stop_event._process()
+
+    assert ax_t.get_xlim() == pytest.approx(xlim_t, abs=0.15)
+    assert ax_t.get_ylim() == pytest.approx(ylim_t, abs=0.15)
+    assert ax_b.get_xlim() == pytest.approx(xlim_b, abs=0.15)
+    assert ax_b.get_ylim() == pytest.approx(ylim_b, abs=0.15)
+
+    # Check if twin-axes are properly triggered
+    assert ax_t.get_xlim() == pytest.approx(ax_t_twin.get_xlim(), abs=0.15)
+    assert ax_b.get_xlim() == pytest.approx(ax_b_twin.get_xlim(), abs=0.15)
diff --git a/lib/matplotlib/tests/test_backend_cairo.py b/lib/matplotlib/tests/test_backend_cairo.py
new file mode 100644
index 000000000000..c5712cc50d5b
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_cairo.py
@@ -0,0 +1,48 @@
+import numpy as np
+
+import pytest
+
+from matplotlib.testing.decorators import check_figures_equal
+from matplotlib import (
+    collections as mcollections, patches as mpatches, path as mpath)
+
+
+@pytest.mark.backend('cairo')
+@check_figures_equal()
+def test_patch_alpha_coloring(fig_test, fig_ref):
+    """
+    Test checks that the patch and collection are rendered with the specified
+    alpha values in their facecolor and edgecolor.
+    """
+    star = mpath.Path.unit_regular_star(6)
+    circle = mpath.Path.unit_circle()
+    # concatenate the star with an internal cutout of the circle
+    verts = np.concatenate([circle.vertices, star.vertices[::-1]])
+    codes = np.concatenate([circle.codes, star.codes])
+    cut_star1 = mpath.Path(verts, codes)
+    cut_star2 = mpath.Path(verts + 1, codes)
+
+    # Reference: two separate patches
+    ax = fig_ref.subplots()
+    ax.set_xlim([-1, 2])
+    ax.set_ylim([-1, 2])
+    patch = mpatches.PathPatch(cut_star1,
+                               linewidth=5, linestyle='dashdot',
+                               facecolor=(1, 0, 0, 0.5),
+                               edgecolor=(0, 0, 1, 0.75))
+    ax.add_patch(patch)
+    patch = mpatches.PathPatch(cut_star2,
+                               linewidth=5, linestyle='dashdot',
+                               facecolor=(1, 0, 0, 0.5),
+                               edgecolor=(0, 0, 1, 0.75))
+    ax.add_patch(patch)
+
+    # Test: path collection
+    ax = fig_test.subplots()
+    ax.set_xlim([-1, 2])
+    ax.set_ylim([-1, 2])
+    col = mcollections.PathCollection([cut_star1, cut_star2],
+                                      linewidth=5, linestyles='dashdot',
+                                      facecolor=(1, 0, 0, 0.5),
+                                      edgecolor=(0, 0, 1, 0.75))
+    ax.add_collection(col)
diff --git a/lib/matplotlib/tests/test_backend_gtk3.py b/lib/matplotlib/tests/test_backend_gtk3.py
new file mode 100644
index 000000000000..b4c6e3d7fca8
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_gtk3.py
@@ -0,0 +1,74 @@
+import os
+from matplotlib import pyplot as plt
+
+import pytest
+from unittest import mock
+
+
+@pytest.mark.backend("gtk3agg", skip_on_importerror=True)
+def test_correct_key():
+    pytest.xfail("test_widget_send_event is not triggering key_press_event")
+
+    from gi.repository import Gdk, Gtk  # type: ignore[import]
+    fig = plt.figure()
+    buf = []
+
+    def send(event):
+        for key, mod in [
+                (Gdk.KEY_a, Gdk.ModifierType.SHIFT_MASK),
+                (Gdk.KEY_a, 0),
+                (Gdk.KEY_a, Gdk.ModifierType.CONTROL_MASK),
+                (Gdk.KEY_agrave, 0),
+                (Gdk.KEY_Control_L, Gdk.ModifierType.MOD1_MASK),
+                (Gdk.KEY_Alt_L, Gdk.ModifierType.CONTROL_MASK),
+                (Gdk.KEY_agrave,
+                 Gdk.ModifierType.CONTROL_MASK
+                 | Gdk.ModifierType.MOD1_MASK
+                 | Gdk.ModifierType.MOD4_MASK),
+                (0xfd16, 0),   # KEY_3270_Play.
+                (Gdk.KEY_BackSpace, 0),
+                (Gdk.KEY_BackSpace, Gdk.ModifierType.CONTROL_MASK),
+        ]:
+            # This is not actually really the right API: it depends on the
+            # actual keymap (e.g. on Azerty, shift+agrave -> 0).
+            Gtk.test_widget_send_key(fig.canvas, key, mod)
+
+    def receive(event):
+        buf.append(event.key)
+        if buf == [
+                "A", "a", "ctrl+a",
+                "\N{LATIN SMALL LETTER A WITH GRAVE}",
+                "alt+control", "ctrl+alt",
+                "ctrl+alt+super+\N{LATIN SMALL LETTER A WITH GRAVE}",
+                # (No entry for KEY_3270_Play.)
+                "backspace", "ctrl+backspace",
+        ]:
+            plt.close(fig)
+
+    fig.canvas.mpl_connect("draw_event", send)
+    fig.canvas.mpl_connect("key_press_event", receive)
+    plt.show()
+
+
+@pytest.mark.backend("gtk3agg", skip_on_importerror=True)
+def test_save_figure_return():
+    from gi.repository import Gtk
+    fig, ax = plt.subplots()
+    ax.imshow([[1]])
+    with mock.patch("gi.repository.Gtk.FileFilter") as fileFilter:
+        filt = fileFilter.return_value
+        filt.get_name.return_value = "Portable Network Graphics"
+        with mock.patch("gi.repository.Gtk.FileChooserDialog") as dialogChooser:
+            dialog = dialogChooser.return_value
+            dialog.get_filter.return_value = filt
+            dialog.get_filename.return_value = "foobar.png"
+            dialog.run.return_value = Gtk.ResponseType.OK
+            fname = fig.canvas.manager.toolbar.save_figure()
+            os.remove("foobar.png")
+            assert fname == "foobar.png"
+
+            with mock.patch("gi.repository.Gtk.MessageDialog"):
+                dialog.get_filename.return_value = None
+                dialog.run.return_value = Gtk.ResponseType.OK
+                fname = fig.canvas.manager.toolbar.save_figure()
+                assert fname is None
diff --git a/lib/matplotlib/tests/test_backend_inline.py b/lib/matplotlib/tests/test_backend_inline.py
new file mode 100644
index 000000000000..997e1e7186b1
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_inline.py
@@ -0,0 +1,46 @@
+import os
+from pathlib import Path
+from tempfile import TemporaryDirectory
+
+import pytest
+
+from matplotlib.testing import subprocess_run_for_testing
+
+nbformat = pytest.importorskip('nbformat')
+pytest.importorskip('nbconvert')
+pytest.importorskip('ipykernel')
+pytest.importorskip('matplotlib_inline')
+
+
+def test_ipynb():
+    nb_path = Path(__file__).parent / 'data/test_inline_01.ipynb'
+
+    with TemporaryDirectory() as tmpdir:
+        out_path = Path(tmpdir, "out.ipynb")
+
+        subprocess_run_for_testing(
+            ["jupyter", "nbconvert", "--to", "notebook",
+             "--execute", "--ExecutePreprocessor.timeout=500",
+             "--output", str(out_path), str(nb_path)],
+            env={**os.environ, "IPYTHONDIR": tmpdir},
+            check=True)
+        with out_path.open() as out:
+            nb = nbformat.read(out, nbformat.current_nbformat)
+
+    errors = [output for cell in nb.cells for output in cell.get("outputs", [])
+              if output.output_type == "error"]
+    assert not errors
+
+    import IPython
+    if IPython.version_info[:2] >= (8, 24):
+        expected_backend = "inline"
+    else:
+        # This code can be removed when Python 3.12, the latest version supported by
+        # IPython < 8.24, reaches end-of-life in late 2028.
+        expected_backend = "module://matplotlib_inline.backend_inline"
+    backend_outputs = nb.cells[2]["outputs"]
+    assert backend_outputs[0]["data"]["text/plain"] == f"'{expected_backend}'"
+
+    image = nb.cells[1]["outputs"][1]["data"]
+    assert image["text/plain"] == "<Figure size 300x200 with 1 Axes>"
+    assert "image/png" in image
diff --git a/lib/matplotlib/tests/test_backend_macosx.py b/lib/matplotlib/tests/test_backend_macosx.py
new file mode 100644
index 000000000000..fe4c9a6fba3c
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_macosx.py
@@ -0,0 +1,86 @@
+import os
+from pathlib import Path
+
+import pytest
+from unittest import mock
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+from matplotlib.testing import subprocess_run_helper
+
+
+_test_timeout = 60
+
+
+def _test_cached_renderer():
+    # Make sure that figures have an associated renderer after
+    # a fig.canvas.draw() call
+    fig = plt.figure(1)
+    fig.canvas.draw()
+    assert fig.canvas.get_renderer()._renderer is not None
+
+    fig = plt.figure(2)
+    fig.draw_without_rendering()
+    assert fig.canvas.get_renderer()._renderer is not None
+
+
+@pytest.mark.backend('macosx', skip_on_importerror=True)
+def test_cached_renderer():
+    subprocess_run_helper(_test_cached_renderer, timeout=_test_timeout,
+                          extra_env={"MPLBACKEND": "macosx"})
+
+
+def _test_savefig_rcparam():
+    tmp_path = Path(os.environ["TEST_SAVEFIG_PATH"])
+
+    def new_choose_save_file(title, directory, filename):
+        # Replacement function instead of opening a GUI window
+        # Make a new directory for testing the update of the rcParams
+        assert directory == str(tmp_path)
+        os.makedirs(f"{directory}/test")
+        return f"{directory}/test/{filename}"
+
+    fig = plt.figure()
+    with (mock.patch("matplotlib.backends._macosx.choose_save_file",
+                     new_choose_save_file),
+          mpl.rc_context({"savefig.directory": tmp_path})):
+        fig.canvas.toolbar.save_figure()
+        # Check the saved location got created
+        save_file = f"{tmp_path}/test/{fig.canvas.get_default_filename()}"
+        assert os.path.exists(save_file)
+
+        # Check the savefig.directory rcParam got updated because
+        # we added a subdirectory "test"
+        assert mpl.rcParams["savefig.directory"] == f"{tmp_path}/test"
+
+
+@pytest.mark.backend('macosx', skip_on_importerror=True)
+def test_savefig_rcparam(tmp_path):
+    subprocess_run_helper(
+        _test_savefig_rcparam, timeout=_test_timeout,
+        extra_env={"MPLBACKEND": "macosx", "TEST_SAVEFIG_PATH": tmp_path})
+
+
+@pytest.mark.backend('macosx', skip_on_importerror=True)
+def test_ipython():
+    from matplotlib.testing import ipython_in_subprocess
+    ipython_in_subprocess("osx", {(8, 24): "macosx", (7, 0): "MacOSX"})
+
+
+def _test_save_figure_return():
+    fig, ax = plt.subplots()
+    ax.imshow([[1]])
+    prop = "matplotlib.backends._macosx.choose_save_file"
+    with mock.patch(prop, return_value="foobar.png"):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        os.remove("foobar.png")
+        assert fname == "foobar.png"
+    with mock.patch(prop, return_value=None):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        assert fname is None
+
+
+@pytest.mark.backend('macosx', skip_on_importerror=True)
+def test_save_figure_return():
+    subprocess_run_helper(_test_save_figure_return, timeout=_test_timeout,
+                          extra_env={"MPLBACKEND": "macosx"})
diff --git a/lib/matplotlib/tests/test_backend_nbagg.py b/lib/matplotlib/tests/test_backend_nbagg.py
new file mode 100644
index 000000000000..ccf74df20aab
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_nbagg.py
@@ -0,0 +1,42 @@
+import os
+from pathlib import Path
+from tempfile import TemporaryDirectory
+
+import pytest
+
+from matplotlib.testing import subprocess_run_for_testing
+
+nbformat = pytest.importorskip('nbformat')
+pytest.importorskip('nbconvert')
+pytest.importorskip('ipykernel')
+
+# From https://blog.thedataincubator.com/2016/06/testing-jupyter-notebooks/
+
+
+def test_ipynb():
+    nb_path = Path(__file__).parent / 'data/test_nbagg_01.ipynb'
+
+    with TemporaryDirectory() as tmpdir:
+        out_path = Path(tmpdir, "out.ipynb")
+        subprocess_run_for_testing(
+            ["jupyter", "nbconvert", "--to", "notebook",
+             "--execute", "--ExecutePreprocessor.timeout=500",
+             "--output", str(out_path), str(nb_path)],
+            env={**os.environ, "IPYTHONDIR": tmpdir},
+            check=True)
+        with out_path.open() as out:
+            nb = nbformat.read(out, nbformat.current_nbformat)
+
+    errors = [output for cell in nb.cells for output in cell.get("outputs", [])
+              if output.output_type == "error"]
+    assert not errors
+
+    import IPython
+    if IPython.version_info[:2] >= (8, 24):
+        expected_backend = "notebook"
+    else:
+        # This code can be removed when Python 3.12, the latest version supported by
+        # IPython < 8.24, reaches end-of-life in late 2028.
+        expected_backend = "nbAgg"
+    backend_outputs = nb.cells[2]["outputs"]
+    assert backend_outputs[0]["data"]["text/plain"] == f"'{expected_backend}'"
diff --git a/lib/matplotlib/tests/test_backend_pdf.py b/lib/matplotlib/tests/test_backend_pdf.py
index 0e693402ca16..f126fb543e78 100644
--- a/lib/matplotlib/tests/test_backend_pdf.py
+++ b/lib/matplotlib/tests/test_backend_pdf.py
@@ -1,52 +1,50 @@
-# -*- encoding: utf-8 -*-
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import datetime
+import decimal
 import io
 import os
+from pathlib import Path
 
 import numpy as np
+import pytest
 
-from matplotlib import cm, rcParams
-from matplotlib import pyplot as plt
-from matplotlib.testing.decorators import (image_comparison, knownfailureif,
-                                           cleanup)
+import matplotlib as mpl
+from matplotlib import (
+    pyplot as plt, rcParams, font_manager as fm
+)
+from matplotlib.cbook import _get_data_path
+from matplotlib.ft2font import FT2Font
+from matplotlib.backends._backend_pdf_ps import get_glyphs_subset, font_as_file
+from matplotlib.backends.backend_pdf import PdfPages
+from matplotlib.patches import Rectangle
+from matplotlib.testing import _gen_multi_font_text, _has_tex_package
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing._markers import needs_usetex
 
-if 'TRAVIS' not in os.environ:
-    @image_comparison(baseline_images=['pdf_use14corefonts'],
-                      extensions=['pdf'])
-    def test_use14corefonts():
-        rcParams['pdf.use14corefonts'] = True
-        rcParams['font.family'] = 'sans-serif'
-        rcParams['font.size'] = 8
-        rcParams['font.sans-serif'] = ['Helvetica']
-        rcParams['pdf.compression'] = 0
 
-        text = '''A three-line text positioned just above a blue line
-    and containing some French characters and the euro symbol:
-    "Merci pépé pour les 10 €"'''
+@image_comparison(['pdf_use14corefonts.pdf'])
+def test_use14corefonts():
+    rcParams['pdf.use14corefonts'] = True
+    rcParams['font.family'] = 'sans-serif'
+    rcParams['font.size'] = 8
+    rcParams['font.sans-serif'] = ['Helvetica']
+    rcParams['pdf.compression'] = 0
 
+    text = '''A three-line text positioned just above a blue line
+and containing some French characters and the euro symbol:
+"Merci pépé pour les 10 €"'''
 
-@cleanup
-def test_type42():
-    rcParams['pdf.fonttype'] = 42
+    fig, ax = plt.subplots()
+    ax.set_title('Test PDF backend with option use14corefonts=True')
+    ax.text(0.5, 0.5, text, horizontalalignment='center',
+            verticalalignment='bottom',
+            fontsize=14)
+    ax.axhline(0.5, linewidth=0.5)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot([1, 2, 3])
-    fig.savefig(io.BytesIO())
 
-
-@cleanup
 def test_multipage_pagecount():
-    from matplotlib.backends.backend_pdf import PdfPages
     with PdfPages(io.BytesIO()) as pdf:
         assert pdf.get_pagecount() == 0
-        fig = plt.figure()
-        ax = fig.add_subplot(111)
+        fig, ax = plt.subplots()
         ax.plot([1, 2, 3])
         fig.savefig(pdf, format="pdf")
         assert pdf.get_pagecount() == 1
@@ -54,36 +52,429 @@ def test_multipage_pagecount():
         assert pdf.get_pagecount() == 2
 
 
-@cleanup
-def test_multipage_keep_empty():
-    from matplotlib.backends.backend_pdf import PdfPages
-    from tempfile import NamedTemporaryFile
-    ### test empty pdf files
-    # test that an empty pdf is left behind with keep_empty=True (default)
-    with NamedTemporaryFile(delete=False) as tmp:
-        with PdfPages(tmp) as pdf:
-            filename = pdf._file.fh.name
-        assert os.path.exists(filename)
-    os.remove(filename)
-    # test if an empty pdf is deleting itself afterwards with keep_empty=False
-    with PdfPages(filename, keep_empty=False) as pdf:
+def test_multipage_properfinalize():
+    pdfio = io.BytesIO()
+    with PdfPages(pdfio) as pdf:
+        for i in range(10):
+            fig, ax = plt.subplots()
+            ax.set_title('This is a long title')
+            fig.savefig(pdf, format="pdf")
+    s = pdfio.getvalue()
+    assert s.count(b'startxref') == 1
+    assert len(s) < 40000
+
+
+def test_multipage_keep_empty(tmp_path):
+    # An empty pdf deletes itself afterwards.
+    fn = tmp_path / "a.pdf"
+    with PdfPages(fn) as pdf:
         pass
-    assert not os.path.exists(filename)
-    ### test pdf files with content, they should never be deleted
+    assert not fn.exists()
+
+    # Test pdf files with content, they should never be deleted.
+    fn = tmp_path / "b.pdf"
+    with PdfPages(fn) as pdf:
+        pdf.savefig(plt.figure())
+    assert fn.exists()
+
+
+def test_composite_image():
+    # Test that figures can be saved with and without combining multiple images
+    # (on a single set of axes) into a single composite image.
+    X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
+    Z = np.sin(Y ** 2)
+    fig, ax = plt.subplots()
+    ax.set_xlim(0, 3)
+    ax.imshow(Z, extent=[0, 1, 0, 1])
+    ax.imshow(Z[::-1], extent=[2, 3, 0, 1])
+    plt.rcParams['image.composite_image'] = True
+    with PdfPages(io.BytesIO()) as pdf:
+        fig.savefig(pdf, format="pdf")
+        assert len(pdf._file._images) == 1
+    plt.rcParams['image.composite_image'] = False
+    with PdfPages(io.BytesIO()) as pdf:
+        fig.savefig(pdf, format="pdf")
+        assert len(pdf._file._images) == 2
+
+
+def test_indexed_image():
+    # An image with low color count should compress to a palette-indexed format.
+    pikepdf = pytest.importorskip('pikepdf')
+
+    data = np.zeros((256, 1, 3), dtype=np.uint8)
+    data[:, 0, 0] = np.arange(256)  # Maximum unique colours for an indexed image.
+
+    rcParams['pdf.compression'] = True
+    fig = plt.figure()
+    fig.figimage(data, resize=True)
+    buf = io.BytesIO()
+    fig.savefig(buf, format='pdf', dpi='figure')
+
+    with pikepdf.Pdf.open(buf) as pdf:
+        page, = pdf.pages
+        image, = page.images.values()
+        pdf_image = pikepdf.PdfImage(image)
+        assert pdf_image.indexed
+        pil_image = pdf_image.as_pil_image()
+        rgb = np.asarray(pil_image.convert('RGB'))
+
+    np.testing.assert_array_equal(data, rgb)
+
+
+def test_savefig_metadata(monkeypatch):
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    buf = io.BytesIO()
+    fig.savefig(buf, metadata=md, format='pdf')
+
+    with pikepdf.Pdf.open(buf) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF',
+        '/Trapped': '/True',
+    }
+
+
+def test_invalid_metadata():
+    fig, ax = plt.subplots()
+
+    with pytest.warns(UserWarning,
+                      match="Unknown infodict keyword: 'foobar'."):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'foobar': 'invalid'})
+
+    with pytest.warns(UserWarning,
+                      match='not an instance of datetime.datetime.'):
+        fig.savefig(io.BytesIO(), format='pdf',
+                    metadata={'ModDate': '1968-08-01'})
+
+    with pytest.warns(UserWarning,
+                      match='not one of {"True", "False", "Unknown"}'):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'Trapped': 'foo'})
+
+    with pytest.warns(UserWarning, match='not an instance of str.'):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'Title': 1234})
+
+
+def test_multipage_metadata(monkeypatch):
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    buf = io.BytesIO()
+    with PdfPages(buf, metadata=md) as pdf:
+        pdf.savefig(fig)
+        pdf.savefig(fig)
+
+    with pikepdf.Pdf.open(buf) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF',
+        '/Trapped': '/True',
+    }
+
+
+def test_text_urls():
+    pikepdf = pytest.importorskip('pikepdf')
+
+    test_url = 'https://test_text_urls.matplotlib.org/'
+
+    fig = plt.figure(figsize=(2, 1))
+    fig.text(0.1, 0.1, 'test plain 123', url=f'{test_url}plain')
+    fig.text(0.1, 0.4, 'test mathtext $123$', url=f'{test_url}mathtext')
+
+    with io.BytesIO() as fd:
+        fig.savefig(fd, format='pdf')
+
+        with pikepdf.Pdf.open(fd) as pdf:
+            annots = pdf.pages[0].Annots
+
+            # Iteration over Annots must occur within the context manager,
+            # otherwise it may fail depending on the pdf structure.
+            for y, fragment in [('0.1', 'plain'), ('0.4', 'mathtext')]:
+                annot = next(
+                    (a for a in annots if a.A.URI == f'{test_url}{fragment}'),
+                    None)
+                assert annot is not None
+                assert getattr(annot, 'QuadPoints', None) is None
+                # Positions in points (72 per inch.)
+                assert annot.Rect[1] == decimal.Decimal(y) * 72
+
+
+def test_text_rotated_urls():
+    pikepdf = pytest.importorskip('pikepdf')
+
+    test_url = 'https://test_text_urls.matplotlib.org/'
+
+    fig = plt.figure(figsize=(1, 1))
+    fig.text(0.1, 0.1, 'N', rotation=45, url=f'{test_url}')
+
+    with io.BytesIO() as fd:
+        fig.savefig(fd, format='pdf')
+
+        with pikepdf.Pdf.open(fd) as pdf:
+            annots = pdf.pages[0].Annots
+
+            # Iteration over Annots must occur within the context manager,
+            # otherwise it may fail depending on the pdf structure.
+            annot = next(
+                (a for a in annots if a.A.URI == f'{test_url}'),
+                None)
+            assert annot is not None
+            assert getattr(annot, 'QuadPoints', None) is not None
+            # Positions in points (72 per inch)
+            assert annot.Rect[0] == \
+               annot.QuadPoints[6] - decimal.Decimal('0.00001')
+
+
+@needs_usetex
+def test_text_urls_tex():
+    pikepdf = pytest.importorskip('pikepdf')
+
+    test_url = 'https://test_text_urls.matplotlib.org/'
+
+    fig = plt.figure(figsize=(2, 1))
+    fig.text(0.1, 0.7, 'test tex $123$', usetex=True, url=f'{test_url}tex')
+
+    with io.BytesIO() as fd:
+        fig.savefig(fd, format='pdf')
+
+        with pikepdf.Pdf.open(fd) as pdf:
+            annots = pdf.pages[0].Annots
+
+            # Iteration over Annots must occur within the context manager,
+            # otherwise it may fail depending on the pdf structure.
+            annot = next(
+                (a for a in annots if a.A.URI == f'{test_url}tex'),
+                None)
+            assert annot is not None
+            # Positions in points (72 per inch.)
+            assert annot.Rect[1] == decimal.Decimal('0.7') * 72
+
+
+def test_pdfpages_fspath():
+    with PdfPages(Path(os.devnull)) as pdf:
+        pdf.savefig(plt.figure())
+
+
+@image_comparison(['hatching_legend.pdf'], style='mpl20')
+def test_hatching_legend(text_placeholders):
+    """Test for correct hatching on patches in legend"""
+    fig = plt.figure(figsize=(1, 2))
+
+    a = Rectangle([0, 0], 0, 0, facecolor="green", hatch="XXXX")
+    b = Rectangle([0, 0], 0, 0, facecolor="blue", hatch="XXXX")
+
+    # Verify that hatches in PDFs work after empty labels. See
+    # https://github.com/matplotlib/matplotlib/issues/4469
+    fig.legend([a, b, a, b], ["", "", "", ""])
+
+
+@image_comparison(['grayscale_alpha.pdf'])
+def test_grayscale_alpha():
+    """Masking images with NaN did not work for grayscale images"""
+    x, y = np.ogrid[-2:2:.1, -2:2:.1]
+    dd = np.exp(-(x**2 + y**2))
+    dd[dd < .1] = np.nan
+    fig, ax = plt.subplots()
+    ax.imshow(dd, interpolation='none', cmap='gray_r')
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+@mpl.style.context('default')
+@check_figures_equal(extensions=["pdf", "eps"])
+def test_pdf_eps_savefig_when_color_is_none(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_test.set_axis_off()
+    ax_test.plot(np.sin(np.linspace(-5, 5, 100)), "v", c="none")
+    ax_ref = fig_ref.add_subplot()
+    ax_ref.set_axis_off()
+
+
+@needs_usetex
+def test_failing_latex():
+    """Test failing latex subprocess call"""
+    plt.xlabel("$22_2_2$", usetex=True)  # This fails with "Double subscript"
+    with pytest.raises(RuntimeError):
+        plt.savefig(io.BytesIO(), format="pdf")
+
+
+def test_empty_rasterized():
+    # Check that empty figures that are rasterised save to pdf files fine
+    fig, ax = plt.subplots()
+    ax.plot([], [], rasterized=True)
+    fig.savefig(io.BytesIO(), format="pdf")
+
+
+@image_comparison(['kerning.pdf'])
+def test_kerning():
     fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot([1, 2, 3])
-    # test that a non-empty pdf is left behind with keep_empty=True (default)
-    with NamedTemporaryFile(delete=False) as tmp:
-        with PdfPages(tmp) as pdf:
-            filename = pdf._file.fh.name
-            pdf.savefig()
-        assert os.path.exists(filename)
-    os.remove(filename)
-    # test that a non-empty pdf is left behind with keep_empty=False
-    with NamedTemporaryFile(delete=False) as tmp:
-        with PdfPages(tmp, keep_empty=False) as pdf:
-            filename = pdf._file.fh.name
-            pdf.savefig()
-        assert os.path.exists(filename)
-    os.remove(filename)
+    s = "AVAVAVAVAVAVAVAV€AAVV"
+    fig.text(0, .25, s, size=5)
+    fig.text(0, .75, s, size=20)
+
+
+def test_glyphs_subset():
+    fpath = str(_get_data_path("fonts/ttf/DejaVuSerif.ttf"))
+    chars = "these should be subsetted! 1234567890"
+
+    # non-subsetted FT2Font
+    nosubfont = FT2Font(fpath)
+    nosubfont.set_text(chars)
+
+    # subsetted FT2Font
+    with get_glyphs_subset(fpath, chars) as subset:
+        subfont = FT2Font(font_as_file(subset))
+    subfont.set_text(chars)
+
+    nosubcmap = nosubfont.get_charmap()
+    subcmap = subfont.get_charmap()
+
+    # all unique chars must be available in subsetted font
+    assert {*chars} == {chr(key) for key in subcmap}
+
+    # subsetted font's charmap should have less entries
+    assert len(subcmap) < len(nosubcmap)
+
+    # since both objects are assigned same characters
+    assert subfont.get_num_glyphs() == nosubfont.get_num_glyphs()
+
+
+@image_comparison(["multi_font_type3.pdf"])
+def test_multi_font_type3():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('pdf', fonttype=3)
+
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@image_comparison(["multi_font_type42.pdf"])
+def test_multi_font_type42():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('pdf', fonttype=42)
+
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize('family_name, file_name',
+                         [("Noto Sans", "NotoSans-Regular.otf"),
+                          ("FreeMono", "FreeMono.otf")])
+def test_otf_font_smoke(family_name, file_name):
+    # checks that there's no segfault
+    fp = fm.FontProperties(family=[family_name])
+    if Path(fm.findfont(fp)).name != file_name:
+        pytest.skip(f"Font {family_name} may be missing")
+
+    plt.rc('font', family=[family_name], size=27)
+
+    fig = plt.figure()
+    fig.text(0.15, 0.475, "Привет мир!")
+    fig.savefig(io.BytesIO(), format="pdf")
+
+
+@image_comparison(["truetype-conversion.pdf"])
+# mpltest.ttf does not have "l"/"p" glyphs so we get a warning when trying to
+# get the font extents.
+def test_truetype_conversion(recwarn):
+    mpl.rcParams['pdf.fonttype'] = 3
+    fig, ax = plt.subplots()
+    ax.text(0, 0, "ABCDE",
+            font=Path(__file__).parent / "data/mpltest.ttf", fontsize=80)
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+@pytest.mark.skipif(not _has_tex_package("heuristica"),
+                    reason="LaTeX lacks heuristica package")
+@image_comparison(["font-heuristica.pdf"])
+def test_font_heuristica():
+    # Heuristica uses the callothersubr operator for some glyphs
+    mpl.rcParams['text.latex.preamble'] = '\n'.join((
+        r'\usepackage{heuristica}',
+        r'\usepackage[T1]{fontenc}',
+        r'\usepackage[utf8]{inputenc}'
+    ))
+    fig, ax = plt.subplots()
+    ax.text(0.1, 0.1, r"BHTem fi ffl 1234", usetex=True, fontsize=50)
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+@pytest.mark.skipif(not _has_tex_package("DejaVuSans"),
+                    reason="LaTeX lacks DejaVuSans package")
+@image_comparison(["font-dejavusans.pdf"])
+def test_font_dejavusans():
+    # DejaVuSans uses the seac operator to compose characters with diacritics
+    mpl.rcParams['text.latex.preamble'] = '\n'.join((
+        r'\usepackage{DejaVuSans}',
+        r'\usepackage[T1]{fontenc}',
+        r'\usepackage[utf8]{inputenc}'
+    ))
+
+    fig, ax = plt.subplots()
+    ax.text(0.1, 0.1, r"\textsf{ñäö ABCDabcd}", usetex=True, fontsize=50)
+    ax.text(0.1, 0.3, r"\textsf{fi ffl 1234}", usetex=True, fontsize=50)
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+@pytest.mark.skipif(not _has_tex_package("charter"),
+                    reason="LaTeX lacks charter package")
+@image_comparison(["font-bitstream-charter.pdf"])
+def test_font_bitstream_charter():
+    mpl.rcParams['text.latex.preamble'] = '\n'.join((
+        r'\usepackage{charter}',
+        r'\usepackage[T1]{fontenc}',
+        r'\usepackage[utf8]{inputenc}'
+    ))
+    fig, ax = plt.subplots()
+    ax.text(0.1, 0.1, r"åüš ABCDabcd", usetex=True, fontsize=50)
+    ax.text(0.1, 0.3, r"fi ffl 1234", usetex=True, fontsize=50)
+    ax.set_xticks([])
+    ax.set_yticks([])
diff --git a/lib/matplotlib/tests/test_backend_pgf.py b/lib/matplotlib/tests/test_backend_pgf.py
index 82833fbb6411..e218a81cdceb 100644
--- a/lib/matplotlib/tests/test_backend_pgf.py
+++ b/lib/matplotlib/tests/test_backend_pgf.py
@@ -1,203 +1,402 @@
-# -*- encoding: utf-8 -*-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
+import datetime
+from io import BytesIO
 import os
 import shutil
 
 import numpy as np
-import nose
-from nose.plugins.skip import SkipTest
+from packaging.version import parse as parse_version
+import pytest
 
 import matplotlib as mpl
 import matplotlib.pyplot as plt
-from matplotlib.compat import subprocess
-from matplotlib.testing.compare import compare_images, ImageComparisonFailure
-from matplotlib.testing.decorators import _image_directories
+from matplotlib.testing import _has_tex_package, _check_for_pgf
+from matplotlib.testing.exceptions import ImageComparisonFailure
+from matplotlib.testing.compare import compare_images
+from matplotlib.backends.backend_pgf import PdfPages
+from matplotlib.testing.decorators import (
+    _image_directories, check_figures_equal, image_comparison)
+from matplotlib.testing._markers import (
+    needs_ghostscript, needs_pgf_lualatex, needs_pgf_pdflatex,
+    needs_pgf_xelatex)
 
 
 baseline_dir, result_dir = _image_directories(lambda: 'dummy func')
 
 
-def check_for(texsystem):
-    header = """
-    \\documentclass{minimal}
-    \\usepackage{pgf}
-    \\begin{document}
-    \\typeout{pgfversion=\\pgfversion}
-    \\makeatletter
-    \\@@end
-    """
-    try:
-        latex = subprocess.Popen(["xelatex", "-halt-on-error"],
-                                 stdin=subprocess.PIPE,
-                                 stdout=subprocess.PIPE)
-        stdout, stderr = latex.communicate(header.encode("utf8"))
-    except OSError:
-        return False
-
-    return latex.returncode == 0
-
-
-def switch_backend(backend):
-
-    def switch_backend_decorator(func):
-        def backend_switcher(*args, **kwargs):
-            try:
-                prev_backend = mpl.get_backend()
-                mpl.rcdefaults()
-                plt.switch_backend(backend)
-                result = func(*args, **kwargs)
-            finally:
-                plt.switch_backend(prev_backend)
-            return result
-
-        return nose.tools.make_decorator(func)(backend_switcher)
-    return switch_backend_decorator
-
-
-def compare_figure(fname, savefig_kwargs={}):
+def compare_figure(fname, savefig_kwargs={}, tol=0):
     actual = os.path.join(result_dir, fname)
     plt.savefig(actual, **savefig_kwargs)
 
     expected = os.path.join(result_dir, "expected_%s" % fname)
     shutil.copyfile(os.path.join(baseline_dir, fname), expected)
-    err = compare_images(expected, actual, tol=14)
+    err = compare_images(expected, actual, tol=tol)
     if err:
-        raise ImageComparisonFailure('images not close: %s vs. '
-                                     '%s' % (actual, expected))
+        raise ImageComparisonFailure(err)
+
+
+@needs_pgf_xelatex
+@needs_ghostscript
+@pytest.mark.backend('pgf')
+def test_tex_special_chars(tmp_path):
+    fig = plt.figure()
+    fig.text(.5, .5, "%_^ $a_b^c$")
+    buf = BytesIO()
+    fig.savefig(buf, format="png", backend="pgf")
+    buf.seek(0)
+    t = plt.imread(buf)
+    assert not (t == 1).all()  # The leading "%" didn't eat up everything.
 
 
 def create_figure():
     plt.figure()
     x = np.linspace(0, 1, 15)
+
+    # line plot
     plt.plot(x, x ** 2, "b-")
+
+    # marker
+    plt.plot(x, 1 - x**2, "g>")
+
+    # filled paths and patterns
     plt.fill_between([0., .4], [.4, 0.], hatch='//', facecolor="lightgray",
                      edgecolor="red")
-    plt.plot(x, 1 - x**2, "g>")
+    plt.fill([3, 3, .8, .8, 3], [2, -2, -2, 0, 2], "b")
+
+    # text and typesetting
     plt.plot([0.9], [0.5], "ro", markersize=3)
-    plt.text(0.9, 0.5, 'unicode (ü, °, µ) and math ($\\mu_i = x_i^2$)',
+    plt.text(0.9, 0.5, 'unicode (ü, °, \N{Section Sign}) and math ($\\mu_i = x_i^2$)',
              ha='right', fontsize=20)
     plt.ylabel('sans-serif, blue, $\\frac{\\sqrt{x}}{y^2}$..',
                family='sans-serif', color='blue')
+    plt.text(1, 1, 'should be clipped as default clip_box is Axes bbox',
+             fontsize=20, clip_on=True)
+
+    plt.xlim(0, 1)
+    plt.ylim(0, 1)
 
 
 # test compiling a figure to pdf with xelatex
-@switch_backend('pgf')
+@needs_pgf_xelatex
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_xelatex.pdf'], style='default')
 def test_xelatex():
-    if not check_for('xelatex'):
-        raise SkipTest('xelatex + pgf is required')
-
     rc_xelatex = {'font.family': 'serif',
                   'pgf.rcfonts': False}
     mpl.rcParams.update(rc_xelatex)
     create_figure()
-    compare_figure('pgf_xelatex.pdf')
+
+
+try:
+    _old_gs_version = \
+        mpl._get_executable_info('gs').version < parse_version('9.50')
+except mpl.ExecutableNotFoundError:
+    _old_gs_version = True
 
 
 # test compiling a figure to pdf with pdflatex
-@switch_backend('pgf')
+@needs_pgf_pdflatex
+@pytest.mark.skipif(not _has_tex_package('type1ec'), reason='needs type1ec.sty')
+@pytest.mark.skipif(not _has_tex_package('ucs'), reason='needs ucs.sty')
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_pdflatex.pdf'], style='default',
+                  tol=11.71 if _old_gs_version else 0)
 def test_pdflatex():
-    if not check_for('pdflatex'):
-        raise SkipTest('pdflatex + pgf is required')
-
     rc_pdflatex = {'font.family': 'serif',
                    'pgf.rcfonts': False,
                    'pgf.texsystem': 'pdflatex',
-                   'pgf.preamble': ['\\usepackage[utf8x]{inputenc}',
-                                    '\\usepackage[T1]{fontenc}']}
+                   'pgf.preamble': ('\\usepackage[utf8x]{inputenc}'
+                                    '\\usepackage[T1]{fontenc}')}
     mpl.rcParams.update(rc_pdflatex)
     create_figure()
-    compare_figure('pgf_pdflatex.pdf')
 
 
 # test updating the rc parameters for each figure
-@switch_backend('pgf')
+@needs_pgf_xelatex
+@needs_pgf_pdflatex
+@mpl.style.context('default')
+@pytest.mark.backend('pgf')
 def test_rcupdate():
-    if not check_for('xelatex') or not check_for('pdflatex'):
-        raise SkipTest('xelatex and pdflatex + pgf required')
-
-    rc_sets = []
-    rc_sets.append({'font.family': 'sans-serif',
-                    'font.size': 30,
-                    'figure.subplot.left': .2,
-                    'lines.markersize': 10,
-                    'pgf.rcfonts': False,
-                    'pgf.texsystem': 'xelatex'})
-    rc_sets.append({'font.family': 'monospace',
-                    'font.size': 10,
-                    'figure.subplot.left': .1,
-                    'lines.markersize': 20,
-                    'pgf.rcfonts': False,
-                    'pgf.texsystem': 'pdflatex',
-                    'pgf.preamble': ['\\usepackage[utf8x]{inputenc}',
-                                     '\\usepackage[T1]{fontenc}',
-                                     '\\usepackage{sfmath}']})
-
+    rc_sets = [{'font.family': 'sans-serif',
+                'font.size': 30,
+                'figure.subplot.left': .2,
+                'lines.markersize': 10,
+                'pgf.rcfonts': False,
+                'pgf.texsystem': 'xelatex'},
+               {'font.family': 'monospace',
+                'font.size': 10,
+                'figure.subplot.left': .1,
+                'lines.markersize': 20,
+                'pgf.rcfonts': False,
+                'pgf.texsystem': 'pdflatex',
+                'pgf.preamble': ('\\usepackage[utf8x]{inputenc}'
+                                 '\\usepackage[T1]{fontenc}'
+                                 '\\usepackage{sfmath}')}]
+    tol = [0, 13.2] if _old_gs_version else [0, 0]
     for i, rc_set in enumerate(rc_sets):
-        mpl.rcParams.update(rc_set)
-        create_figure()
-        compare_figure('pgf_rcupdate%d.pdf' % (i + 1))
+        with mpl.rc_context(rc_set):
+            for substring, pkg in [('sfmath', 'sfmath'), ('utf8x', 'ucs')]:
+                if (substring in mpl.rcParams['pgf.preamble']
+                        and not _has_tex_package(pkg)):
+                    pytest.skip(f'needs {pkg}.sty')
+            create_figure()
+            compare_figure(f'pgf_rcupdate{i + 1}.pdf', tol=tol[i])
 
 
 # test backend-side clipping, since large numbers are not supported by TeX
-@switch_backend('pgf')
+@needs_pgf_xelatex
+@mpl.style.context('default')
+@pytest.mark.backend('pgf')
 def test_pathclip():
-    if not check_for('xelatex'):
-        raise SkipTest('xelatex + pgf is required')
+    np.random.seed(19680801)
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
+    fig, axs = plt.subplots(1, 2)
 
-    rc_xelatex = {'font.family': 'serif',
-                  'pgf.rcfonts': False}
-    mpl.rcParams.update(rc_xelatex)
+    axs[0].plot([0., 1e100], [0., 1e100])
+    axs[0].set_xlim(0, 1)
+    axs[0].set_ylim(0, 1)
 
-    plt.figure()
-    plt.plot([0., 1e100], [0., 1e100])
-    plt.xlim(0, 1)
-    plt.ylim(0, 1)
-    # this test passes if compiling/saving to pdf works (no image comparison)
-    plt.savefig(os.path.join(result_dir, "pgf_pathclip.pdf"))
+    axs[1].scatter([0, 1], [1, 1])
+    axs[1].hist(np.random.normal(size=1000), bins=20, range=[-10, 10])
+    axs[1].set_xscale('log')
+
+    fig.savefig(BytesIO(), format="pdf")  # No image comparison.
 
 
 # test mixed mode rendering
-@switch_backend('pgf')
+@needs_pgf_xelatex
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_mixedmode.pdf'], style='default')
 def test_mixedmode():
-    if not check_for('xelatex'):
-        raise SkipTest('xelatex + pgf is required')
-
-    rc_xelatex = {'font.family': 'serif',
-                  'pgf.rcfonts': False}
-    mpl.rcParams.update(rc_xelatex)
-
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
     Y, X = np.ogrid[-1:1:40j, -1:1:40j]
-    plt.figure()
     plt.pcolor(X**2 + Y**2).set_rasterized(True)
-    compare_figure('pgf_mixedmode.pdf')
 
 
 # test bbox_inches clipping
-@switch_backend('pgf')
+@needs_pgf_xelatex
+@mpl.style.context('default')
+@pytest.mark.backend('pgf')
 def test_bbox_inches():
-    if not check_for('xelatex'):
-        raise SkipTest('xelatex + pgf is required')
-
-    rc_xelatex = {'font.family': 'serif',
-                  'pgf.rcfonts': False}
-    mpl.rcParams.update(rc_xelatex)
-
-    Y, X = np.ogrid[-1:1:40j, -1:1:40j]
-    fig = plt.figure()
-    ax1 = fig.add_subplot(121)
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
+    fig, (ax1, ax2) = plt.subplots(1, 2)
     ax1.plot(range(5))
-    ax2 = fig.add_subplot(122)
     ax2.plot(range(5))
     plt.tight_layout()
-
     bbox = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
-    compare_figure('pgf_bbox_inches.pdf', savefig_kwargs={'bbox_inches': bbox})
+    compare_figure('pgf_bbox_inches.pdf', savefig_kwargs={'bbox_inches': bbox},
+                   tol=0)
+
+
+@mpl.style.context('default')
+@pytest.mark.backend('pgf')
+@pytest.mark.parametrize('system', [
+    pytest.param('lualatex', marks=[needs_pgf_lualatex]),
+    pytest.param('pdflatex', marks=[needs_pgf_pdflatex]),
+    pytest.param('xelatex', marks=[needs_pgf_xelatex]),
+])
+def test_pdf_pages(system):
+    rc_pdflatex = {
+        'font.family': 'serif',
+        'pgf.rcfonts': False,
+        'pgf.texsystem': system,
+    }
+    mpl.rcParams.update(rc_pdflatex)
 
+    fig1, ax1 = plt.subplots()
+    ax1.plot(range(5))
+    fig1.tight_layout()
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    fig2, ax2 = plt.subplots(figsize=(3, 2))
+    ax2.plot(range(5))
+    fig2.tight_layout()
+
+    path = os.path.join(result_dir, f'pdfpages_{system}.pdf')
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF with pgf',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'Unknown'
+    }
+
+    with PdfPages(path, metadata=md) as pdf:
+        pdf.savefig(fig1)
+        pdf.savefig(fig2)
+        pdf.savefig(fig1)
+
+        assert pdf.get_pagecount() == 3
+
+
+@mpl.style.context('default')
+@pytest.mark.backend('pgf')
+@pytest.mark.parametrize('system', [
+    pytest.param('lualatex', marks=[needs_pgf_lualatex]),
+    pytest.param('pdflatex', marks=[needs_pgf_pdflatex]),
+    pytest.param('xelatex', marks=[needs_pgf_xelatex]),
+])
+def test_pdf_pages_metadata_check(monkeypatch, system):
+    # Basically the same as test_pdf_pages, but we keep it separate to leave
+    # pikepdf as an optional dependency.
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    mpl.rcParams.update({'pgf.texsystem': system})
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF with pgf',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    path = os.path.join(result_dir, f'pdfpages_meta_check_{system}.pdf')
+    with PdfPages(path, metadata=md) as pdf:
+        pdf.savefig(fig)
+
+    with pikepdf.Pdf.open(path) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    # Not set by us, so don't bother checking.
+    if '/PTEX.FullBanner' in info:
+        del info['/PTEX.FullBanner']
+    if '/PTEX.Fullbanner' in info:
+        del info['/PTEX.Fullbanner']
+
+    # Some LaTeX engines ignore this setting, and state themselves as producer.
+    producer = info.pop('/Producer')
+    assert producer == f'Matplotlib pgf backend v{mpl.__version__}' or (
+            system == 'lualatex' and 'LuaTeX' in producer)
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF with pgf',
+        '/Trapped': '/True',
+    }
+
+
+@needs_pgf_xelatex
+def test_multipage_keep_empty(tmp_path):
+    # An empty pdf deletes itself afterwards.
+    fn = tmp_path / "a.pdf"
+    with PdfPages(fn) as pdf:
+        pass
+    assert not fn.exists()
+
+    # Test pdf files with content, they should never be deleted.
+    fn = tmp_path / "b.pdf"
+    with PdfPages(fn) as pdf:
+        pdf.savefig(plt.figure())
+    assert fn.exists()
+
+
+@needs_pgf_xelatex
+def test_tex_restart_after_error():
+    fig = plt.figure()
+    fig.suptitle(r"\oops")
+    with pytest.raises(ValueError):
+        fig.savefig(BytesIO(), format="pgf")
+
+    fig = plt.figure()  # start from scratch
+    fig.suptitle(r"this is ok")
+    fig.savefig(BytesIO(), format="pgf")
+
+
+@needs_pgf_xelatex
+def test_bbox_inches_tight():
+    fig, ax = plt.subplots()
+    ax.imshow([[0, 1], [2, 3]])
+    fig.savefig(BytesIO(), format="pdf", backend="pgf", bbox_inches="tight")
+
+
+@needs_pgf_xelatex
+@needs_ghostscript
+def test_png_transparency():  # Actually, also just testing that png works.
+    buf = BytesIO()
+    plt.figure().savefig(buf, format="png", backend="pgf", transparent=True)
+    buf.seek(0)
+    t = plt.imread(buf)
+    assert (t[..., 3] == 0).all()  # fully transparent.
+
+
+@needs_pgf_xelatex
+def test_unknown_font(caplog):
+    with caplog.at_level("WARNING"):
+        mpl.rcParams["font.family"] = "this-font-does-not-exist"
+        plt.figtext(.5, .5, "hello, world")
+        plt.savefig(BytesIO(), format="pgf")
+    assert "Ignoring unknown font: this-font-does-not-exist" in [
+        r.getMessage() for r in caplog.records]
+
+
+@check_figures_equal(extensions=["pdf"])
+@pytest.mark.parametrize("texsystem", ("pdflatex", "xelatex", "lualatex"))
+@pytest.mark.backend("pgf")
+def test_minus_signs_with_tex(fig_test, fig_ref, texsystem):
+    if not _check_for_pgf(texsystem):
+        pytest.skip(texsystem + ' + pgf is required')
+    mpl.rcParams["pgf.texsystem"] = texsystem
+    fig_test.text(.5, .5, "$-1$")
+    fig_ref.text(.5, .5, "$\N{MINUS SIGN}1$")
+
+
+@pytest.mark.backend("pgf")
+def test_sketch_params():
+    fig, ax = plt.subplots(figsize=(3, 3))
+    ax.set_xticks([])
+    ax.set_yticks([])
+    ax.set_frame_on(False)
+    handle, = ax.plot([0, 1])
+    handle.set_sketch_params(scale=5, length=30, randomness=42)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='pgf')
+        buf = fd.getvalue().decode()
+
+    baseline = r"""\pgfpathmoveto{\pgfqpoint{0.375000in}{0.300000in}}%
+\pgfpathlineto{\pgfqpoint{2.700000in}{2.700000in}}%
+\usepgfmodule{decorations}%
+\usepgflibrary{decorations.pathmorphing}%
+\pgfkeys{/pgf/decoration/.cd, """ \
+    r"""segment length = 0.150000in, amplitude = 0.100000in}%
+\pgfmathsetseed{42}%
+\pgfdecoratecurrentpath{random steps}%
+\pgfusepath{stroke}%"""
+    # \pgfdecoratecurrentpath must be after the path definition and before the
+    # path is used (\pgfusepath)
+    assert baseline in buf
+
+
+# test to make sure that the document font size is set consistently (see #26892)
+@needs_pgf_xelatex
+@pytest.mark.skipif(
+    not _has_tex_package('unicode-math'), reason='needs unicode-math.sty'
+)
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_document_font_size.pdf'], style='default', remove_text=True)
+def test_document_font_size():
+    mpl.rcParams.update({
+        'pgf.texsystem': 'xelatex',
+        'pgf.rcfonts': False,
+        'pgf.preamble': r'\usepackage{unicode-math}',
+    })
+    plt.figure()
+    plt.plot([],
+             label=r'$this is a very very very long math label a \times b + 10^{-3}$ '
+                   r'and some text'
+             )
+    plt.plot([],
+             label=r'\normalsize the document font size is \the\fontdimen6\font'
+             )
+    plt.legend()
diff --git a/lib/matplotlib/tests/test_backend_ps.py b/lib/matplotlib/tests/test_backend_ps.py
index 4b92678d09e5..f5ec85005079 100644
--- a/lib/matplotlib/tests/test_backend_ps.py
+++ b/lib/matplotlib/tests/test_backend_ps.py
@@ -1,91 +1,376 @@
-# -*- coding: utf-8 -*-
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
+from collections import Counter
 import io
 import re
+import tempfile
 
-import six
+import numpy as np
+import pytest
 
-import matplotlib
+from matplotlib import cbook, path, patheffects
+from matplotlib.figure import Figure
+from matplotlib.patches import Ellipse
+from matplotlib.testing import _gen_multi_font_text
+from matplotlib.testing._markers import needs_ghostscript, needs_usetex
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+import matplotlib as mpl
+import matplotlib.collections as mcollections
+import matplotlib.colors as mcolors
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import cleanup, knownfailureif
 
 
-needs_ghostscript = knownfailureif(
-    matplotlib.checkdep_ghostscript()[0] is None,
-    "This test needs a ghostscript installation")
+# This tests tends to hit a TeX cache lock on AppVeyor.
+@pytest.mark.flaky(reruns=3)
+@pytest.mark.parametrize('papersize', ['letter', 'figure'])
+@pytest.mark.parametrize('orientation', ['portrait', 'landscape'])
+@pytest.mark.parametrize('format, use_log, rcParams', [
+    ('ps', False, {}),
+    ('ps', False, {'ps.usedistiller': 'ghostscript'}),
+    ('ps', False, {'ps.usedistiller': 'xpdf'}),
+    ('ps', False, {'text.usetex': True}),
+    ('eps', False, {}),
+    ('eps', True, {'ps.useafm': True}),
+    ('eps', False, {'text.usetex': True}),
+], ids=[
+    'ps',
+    'ps with distiller=ghostscript',
+    'ps with distiller=xpdf',
+    'ps with usetex',
+    'eps',
+    'eps afm',
+    'eps with usetex'
+])
+def test_savefig_to_stringio(format, use_log, rcParams, orientation, papersize):
+    mpl.rcParams.update(rcParams)
+    if mpl.rcParams["ps.usedistiller"] == "ghostscript":
+        try:
+            mpl._get_executable_info("gs")
+        except mpl.ExecutableNotFoundError as exc:
+            pytest.skip(str(exc))
+    elif mpl.rcParams["ps.usedistiller"] == "xpdf":
+        try:
+            mpl._get_executable_info("gs")  # Effectively checks for ps2pdf.
+            mpl._get_executable_info("pdftops")
+        except mpl.ExecutableNotFoundError as exc:
+            pytest.skip(str(exc))
+
+    fig, ax = plt.subplots()
+
+    with io.StringIO() as s_buf, io.BytesIO() as b_buf:
+
+        if use_log:
+            ax.set_yscale('log')
+
+        ax.plot([1, 2], [1, 2])
+        title = "Déjà vu"
+        if not mpl.rcParams["text.usetex"]:
+            title += " \N{MINUS SIGN}\N{EURO SIGN}"
+        ax.set_title(title)
+        allowable_exceptions = []
+        if mpl.rcParams["text.usetex"]:
+            allowable_exceptions.append(RuntimeError)
+        if mpl.rcParams["ps.useafm"]:
+            allowable_exceptions.append(mpl.MatplotlibDeprecationWarning)
+        try:
+            fig.savefig(s_buf, format=format, orientation=orientation,
+                        papertype=papersize)
+            fig.savefig(b_buf, format=format, orientation=orientation,
+                        papertype=papersize)
+        except tuple(allowable_exceptions) as exc:
+            pytest.skip(str(exc))
+
+        assert not s_buf.closed
+        assert not b_buf.closed
+        s_val = s_buf.getvalue().encode('ascii')
+        b_val = b_buf.getvalue()
 
+        if format == 'ps':
+            # Default figsize = (8, 6) inches = (576, 432) points = (203.2, 152.4) mm.
+            # Landscape orientation will swap dimensions.
+            if mpl.rcParams["ps.usedistiller"] == "xpdf":
+                # Some versions specifically show letter/203x152, but not all,
+                # so we can only use this simpler test.
+                if papersize == 'figure':
+                    assert b'letter' not in s_val.lower()
+                else:
+                    assert b'letter' in s_val.lower()
+            elif mpl.rcParams["ps.usedistiller"] or mpl.rcParams["text.usetex"]:
+                width = b'432.0' if orientation == 'landscape' else b'576.0'
+                wanted = (b'-dDEVICEWIDTHPOINTS=' + width if papersize == 'figure'
+                          else b'-sPAPERSIZE')
+                assert wanted in s_val
+            else:
+                if papersize == 'figure':
+                    assert b'%%DocumentPaperSizes' not in s_val
+                else:
+                    assert b'%%DocumentPaperSizes' in s_val
+
+        # Strip out CreationDate: ghostscript and cairo don't obey
+        # SOURCE_DATE_EPOCH, and that environment variable is already tested in
+        # test_determinism.
+        s_val = re.sub(b"(?<=\n%%CreationDate: ).*", b"", s_val)
+        b_val = re.sub(b"(?<=\n%%CreationDate: ).*", b"", b_val)
+
+        assert s_val == b_val.replace(b'\r\n', b'\n')
+
+
+def test_patheffects():
+    mpl.rcParams['path.effects'] = [
+        patheffects.withStroke(linewidth=4, foreground='w')]
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    with io.BytesIO() as ps:
+        fig.savefig(ps, format='ps')
+
+
+@needs_usetex
+@needs_ghostscript
+def test_tilde_in_tempfilename(tmp_path):
+    # Tilde ~ in the tempdir path (e.g. TMPDIR, TMP or TEMP on windows
+    # when the username is very long and windows uses a short name) breaks
+    # latex before https://github.com/matplotlib/matplotlib/pull/5928
+    base_tempdir = tmp_path / "short-1"
+    base_tempdir.mkdir()
+    # Change the path for new tempdirs, which is used internally by the ps
+    # backend to write a file.
+    with cbook._setattr_cm(tempfile, tempdir=str(base_tempdir)):
+        # usetex results in the latex call, which does not like the ~
+        mpl.rcParams['text.usetex'] = True
+        plt.plot([1, 2, 3, 4])
+        plt.xlabel(r'\textbf{time} (s)')
+        # use the PS backend to write the file...
+        plt.savefig(base_tempdir / 'tex_demo.eps', format="ps")
 
-needs_tex = knownfailureif(
-    not matplotlib.checkdep_tex(),
-    "This test needs a TeX installation")
 
+@image_comparison(["empty.eps"])
+def test_transparency():
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    ax.plot([0, 1], color="r", alpha=0)
+    ax.text(.5, .5, "foo", color="r", alpha=0)
 
-def _test_savefig_to_stringio(format='ps'):
-    buffers = [
-        six.moves.StringIO(),
-        io.StringIO(),
-        io.BytesIO()]
 
-    plt.figure()
-    plt.plot([0, 1], [0, 1])
-    plt.title("Déjà vu")
-    for buffer in buffers:
-        plt.savefig(buffer, format=format)
+@needs_usetex
+@image_comparison(["empty.eps"])
+def test_transparency_tex():
+    mpl.rcParams['text.usetex'] = True
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    ax.plot([0, 1], color="r", alpha=0)
+    ax.text(.5, .5, "foo", color="r", alpha=0)
 
-    values = [x.getvalue() for x in buffers]
 
-    if six.PY3:
-        values = [
-            values[0].encode('ascii'),
-            values[1].encode('ascii'),
-            values[2]]
+def test_bbox():
+    fig, ax = plt.subplots()
+    with io.BytesIO() as buf:
+        fig.savefig(buf, format='eps')
+        buf = buf.getvalue()
 
-    # Remove comments from the output.  This includes things that
-    # could change from run to run, such as the time.
-    values = [re.sub(b'%%.*?\n', b'', x) for x in values]
+    bb = re.search(b'^%%BoundingBox: (.+) (.+) (.+) (.+)$', buf, re.MULTILINE)
+    assert bb
+    hibb = re.search(b'^%%HiResBoundingBox: (.+) (.+) (.+) (.+)$', buf,
+                     re.MULTILINE)
+    assert hibb
 
-    assert values[0] == values[1]
-    assert values[1] == values[2].replace(b'\r\n', b'\n')
-    for buffer in buffers:
-        buffer.close()
+    for i in range(1, 5):
+        # BoundingBox must use integers, and be ceil/floor of the hi res.
+        assert b'.' not in bb.group(i)
+        assert int(bb.group(i)) == pytest.approx(float(hibb.group(i)), 1)
 
 
-@cleanup
-def test_savefig_to_stringio():
-    _test_savefig_to_stringio()
+@needs_usetex
+def test_failing_latex():
+    """Test failing latex subprocess call"""
+    mpl.rcParams['text.usetex'] = True
+    # This fails with "Double subscript"
+    plt.xlabel("$22_2_2$")
+    with pytest.raises(RuntimeError):
+        plt.savefig(io.BytesIO(), format="ps")
+
+
+@needs_usetex
+def test_partial_usetex(caplog):
+    caplog.set_level("WARNING")
+    plt.figtext(.1, .1, "foo", usetex=True)
+    plt.figtext(.2, .2, "bar", usetex=True)
+    plt.savefig(io.BytesIO(), format="ps")
+    record, = caplog.records  # asserts there's a single record.
+    assert "as if usetex=False" in record.getMessage()
+
+
+@needs_usetex
+def test_usetex_preamble(caplog):
+    mpl.rcParams.update({
+        "text.usetex": True,
+        # Check that these don't conflict with the packages loaded by default.
+        "text.latex.preamble": r"\usepackage{color,graphicx,textcomp}",
+    })
+    plt.figtext(.5, .5, "foo")
+    plt.savefig(io.BytesIO(), format="ps")
+
+
+@image_comparison(["useafm.eps"])
+def test_useafm():
+    mpl.rcParams["ps.useafm"] = True
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    ax.axhline(.5)
+    ax.text(.5, .5, "qk")
+
+
+@image_comparison(["type3.eps"])
+def test_type3_font():
+    plt.figtext(.5, .5, "I/J")
+
+
+@image_comparison(["coloredhatcheszerolw.eps"])
+def test_colored_hatch_zero_linewidth():
+    ax = plt.gca()
+    ax.add_patch(Ellipse((0, 0), 1, 1, hatch='/', facecolor='none',
+                         edgecolor='r', linewidth=0))
+    ax.add_patch(Ellipse((0.5, 0.5), 0.5, 0.5, hatch='+', facecolor='none',
+                         edgecolor='g', linewidth=0.2))
+    ax.add_patch(Ellipse((1, 1), 0.3, 0.8, hatch='\\', facecolor='none',
+                         edgecolor='b', linewidth=0))
+    ax.set_axis_off()
+
+
+@check_figures_equal(extensions=["eps"])
+def test_text_clip(fig_test, fig_ref):
+    ax = fig_test.add_subplot()
+    # Fully clipped-out text should not appear.
+    ax.text(0, 0, "hello", transform=fig_test.transFigure, clip_on=True)
+    fig_ref.add_subplot()
 
 
-@cleanup
 @needs_ghostscript
-def test_savefig_to_stringio_with_distiller():
-    matplotlib.rcParams['ps.usedistiller'] = 'ghostscript'
-    _test_savefig_to_stringio()
+def test_d_glyph(tmp_path):
+    # Ensure that we don't have a procedure defined as /d, which would be
+    # overwritten by the glyph definition for "d".
+    fig = plt.figure()
+    fig.text(.5, .5, "def")
+    out = tmp_path / "test.eps"
+    fig.savefig(out)
+    mpl.testing.compare.convert(out, cache=False)  # Should not raise.
+
+
+@image_comparison(["type42_without_prep.eps"], style='mpl20')
+def test_type42_font_without_prep():
+    # Test whether Type 42 fonts without prep table are properly embedded
+    mpl.rcParams["ps.fonttype"] = 42
+    mpl.rcParams["mathtext.fontset"] = "stix"
+
+    plt.figtext(0.5, 0.5, "Mass $m$")
+
+
+@pytest.mark.parametrize('fonttype', ["3", "42"])
+def test_fonttype(fonttype):
+    mpl.rcParams["ps.fonttype"] = fonttype
+    fig, ax = plt.subplots()
+
+    ax.text(0.25, 0.5, "Forty-two is the answer to everything!")
+
+    buf = io.BytesIO()
+    fig.savefig(buf, format="ps")
+
+    test = b'/FontType ' + bytes(f"{fonttype}", encoding='utf-8') + b' def'
+
+    assert re.search(test, buf.getvalue(), re.MULTILINE)
+
+
+def test_linedash():
+    """Test that dashed lines do not break PS output"""
+    fig, ax = plt.subplots()
+
+    ax.plot([0, 1], linestyle="--")
+
+    buf = io.BytesIO()
+    fig.savefig(buf, format="ps")
+
+    assert buf.tell() > 0
+
+
+def test_empty_line():
+    # Smoke-test for gh#23954
+    figure = Figure()
+    figure.text(0.5, 0.5, "\nfoo\n\n")
+    buf = io.BytesIO()
+    figure.savefig(buf, format='eps')
+    figure.savefig(buf, format='ps')
+
+
+def test_no_duplicate_definition():
+
+    fig = Figure()
+    axs = fig.subplots(4, 4, subplot_kw=dict(projection="polar"))
+    for ax in axs.flat:
+        ax.set(xticks=[], yticks=[])
+        ax.plot([1, 2])
+    fig.suptitle("hello, world")
+
+    buf = io.StringIO()
+    fig.savefig(buf, format='eps')
+    buf.seek(0)
+
+    wds = [ln.partition(' ')[0] for
+           ln in buf.readlines()
+           if ln.startswith('/')]
+
+    assert max(Counter(wds).values()) == 1
+
+
+@image_comparison(["multi_font_type3.eps"])
+def test_multi_font_type3():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('ps', fonttype=3)
+
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@image_comparison(["multi_font_type42.eps"])
+def test_multi_font_type42():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('ps', fonttype=42)
 
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
 
-@cleanup
-@needs_tex
-def test_savefig_to_stringio_with_usetex():
-    matplotlib.rcParams['text.latex.unicode'] = True
-    matplotlib.rcParams['text.usetex'] = True
-    _test_savefig_to_stringio()
 
+@image_comparison(["scatter.eps"])
+def test_path_collection():
+    rng = np.random.default_rng(19680801)
+    xvals = rng.uniform(0, 1, 10)
+    yvals = rng.uniform(0, 1, 10)
+    sizes = rng.uniform(30, 100, 10)
+    fig, ax = plt.subplots()
+    ax.scatter(xvals, yvals, sizes, edgecolor=[0.9, 0.2, 0.1], marker='<')
+    ax.set_axis_off()
+    paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]
+    offsets = rng.uniform(0, 200, 20).reshape(10, 2)
+    sizes = [0.02, 0.04]
+    pc = mcollections.PathCollection(paths, sizes, zorder=-1,
+                                     facecolors='yellow', offsets=offsets)
+    ax.add_collection(pc)
+    ax.set_xlim(0, 1)
 
-@cleanup
-def test_savefig_to_stringio_eps():
-    _test_savefig_to_stringio(format='eps')
 
+@image_comparison(["colorbar_shift.eps"], savefig_kwarg={"bbox_inches": "tight"},
+                  style="mpl20")
+def test_colorbar_shift(tmp_path):
+    cmap = mcolors.ListedColormap(["r", "g", "b"])
+    norm = mcolors.BoundaryNorm([-1, -0.5, 0.5, 1], cmap.N)
+    plt.scatter([0, 1], [1, 1], c=[0, 1], cmap=cmap, norm=norm)
+    plt.colorbar()
 
-@cleanup
-@needs_tex
-def test_savefig_to_stringio_with_usetex_eps():
-    matplotlib.rcParams['text.latex.unicode'] = True
-    matplotlib.rcParams['text.usetex'] = True
-    _test_savefig_to_stringio(format='eps')
 
+def test_auto_papersize_removal():
+    fig = plt.figure()
+    with pytest.raises(ValueError, match="'auto' is not a valid value"):
+        fig.savefig(io.BytesIO(), format='eps', papertype='auto')
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    with pytest.raises(ValueError, match="'auto' is not a valid value"):
+        mpl.rcParams['ps.papersize'] = 'auto'
diff --git a/lib/matplotlib/tests/test_backend_qt.py b/lib/matplotlib/tests/test_backend_qt.py
new file mode 100644
index 000000000000..a17e98d70484
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_qt.py
@@ -0,0 +1,397 @@
+import copy
+import importlib
+import os
+import signal
+import sys
+
+from datetime import date, datetime
+from unittest import mock
+
+import pytest
+
+import matplotlib
+from matplotlib import pyplot as plt
+from matplotlib._pylab_helpers import Gcf
+from matplotlib import _c_internal_utils
+
+try:
+    from matplotlib.backends.qt_compat import QtGui  # type: ignore[attr-defined]  # noqa: E501, F401
+    from matplotlib.backends.qt_compat import QtWidgets  # type: ignore[attr-defined]
+    from matplotlib.backends.qt_editor import _formlayout
+except ImportError:
+    pytestmark = pytest.mark.skip('No usable Qt bindings')
+
+
+_test_timeout = 60  # A reasonably safe value for slower architectures.
+
+
+@pytest.fixture
+def qt_core(request):
+    from matplotlib.backends.qt_compat import QtCore
+    return QtCore
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_fig_close():
+
+    # save the state of Gcf.figs
+    init_figs = copy.copy(Gcf.figs)
+
+    # make a figure using pyplot interface
+    fig = plt.figure()
+
+    # simulate user clicking the close button by reaching in
+    # and calling close on the underlying Qt object
+    fig.canvas.manager.window.close()
+
+    # assert that we have removed the reference to the FigureManager
+    # that got added by plt.figure()
+    assert init_figs == Gcf.figs
+
+
+@pytest.mark.parametrize(
+    "qt_key, qt_mods, answer",
+    [
+        ("Key_A", ["ShiftModifier"], "A"),
+        ("Key_A", [], "a"),
+        ("Key_A", ["ControlModifier"], ("ctrl+a")),
+        (
+            "Key_Aacute",
+            ["ShiftModifier"],
+            "\N{LATIN CAPITAL LETTER A WITH ACUTE}",
+        ),
+        ("Key_Aacute", [], "\N{LATIN SMALL LETTER A WITH ACUTE}"),
+        ("Key_Control", ["AltModifier"], ("alt+control")),
+        ("Key_Alt", ["ControlModifier"], "ctrl+alt"),
+        (
+            "Key_Aacute",
+            ["ControlModifier", "AltModifier", "MetaModifier"],
+            ("ctrl+alt+meta+\N{LATIN SMALL LETTER A WITH ACUTE}"),
+        ),
+        # We do not currently map the media keys, this may change in the
+        # future.  This means the callback will never fire
+        ("Key_Play", [], None),
+        ("Key_Backspace", [], "backspace"),
+        (
+            "Key_Backspace",
+            ["ControlModifier"],
+            "ctrl+backspace",
+        ),
+    ],
+    ids=[
+        'shift',
+        'lower',
+        'control',
+        'unicode_upper',
+        'unicode_lower',
+        'alt_control',
+        'control_alt',
+        'modifier_order',
+        'non_unicode_key',
+        'backspace',
+        'backspace_mod',
+    ]
+)
+@pytest.mark.parametrize('backend', [
+    # Note: the value is irrelevant; the important part is the marker.
+    pytest.param(
+        'Qt5Agg',
+        marks=pytest.mark.backend('Qt5Agg', skip_on_importerror=True)),
+    pytest.param(
+        'QtAgg',
+        marks=pytest.mark.backend('QtAgg', skip_on_importerror=True)),
+])
+def test_correct_key(backend, qt_core, qt_key, qt_mods, answer, monkeypatch):
+    """
+    Make a figure.
+    Send a key_press_event event (using non-public, qtX backend specific api).
+    Catch the event.
+    Assert sent and caught keys are the same.
+    """
+    from matplotlib.backends.qt_compat import _to_int, QtCore
+
+    if sys.platform == "darwin" and answer is not None:
+        answer = answer.replace("ctrl", "cmd")
+        answer = answer.replace("control", "cmd")
+        answer = answer.replace("meta", "ctrl")
+    result = None
+    qt_mod = QtCore.Qt.KeyboardModifier.NoModifier
+    for mod in qt_mods:
+        qt_mod |= getattr(QtCore.Qt.KeyboardModifier, mod)
+
+    class _Event:
+        def isAutoRepeat(self): return False
+        def key(self): return _to_int(getattr(QtCore.Qt.Key, qt_key))
+
+    monkeypatch.setattr(QtWidgets.QApplication, "keyboardModifiers",
+                        lambda self: qt_mod)
+
+    def on_key_press(event):
+        nonlocal result
+        result = event.key
+
+    qt_canvas = plt.figure().canvas
+    qt_canvas.mpl_connect('key_press_event', on_key_press)
+    qt_canvas.keyPressEvent(_Event())
+    assert result == answer
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_device_pixel_ratio_change():
+    """
+    Make sure that if the pixel ratio changes, the figure dpi changes but the
+    widget remains the same logical size.
+    """
+
+    prop = 'matplotlib.backends.backend_qt.FigureCanvasQT.devicePixelRatioF'
+    with mock.patch(prop) as p:
+        p.return_value = 3
+
+        fig = plt.figure(figsize=(5, 2), dpi=120)
+        qt_canvas = fig.canvas
+        qt_canvas.show()
+
+        def set_device_pixel_ratio(ratio):
+            p.return_value = ratio
+
+            # The value here doesn't matter, as we can't mock the C++ QScreen
+            # object, but can override the functional wrapper around it.
+            # Emitting this event is simply to trigger the DPI change handler
+            # in Matplotlib in the same manner that it would occur normally.
+            screen.logicalDotsPerInchChanged.emit(96)
+
+            qt_canvas.draw()
+            qt_canvas.flush_events()
+
+            # Make sure the mocking worked
+            assert qt_canvas.device_pixel_ratio == ratio
+
+        qt_canvas.manager.show()
+        size = qt_canvas.size()
+        screen = qt_canvas.window().windowHandle().screen()
+        set_device_pixel_ratio(3)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 360
+        assert qt_canvas.renderer.width == 1800
+        assert qt_canvas.renderer.height == 720
+
+        # The actual widget size and figure logical size don't change.
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+        set_device_pixel_ratio(2)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 240
+        assert qt_canvas.renderer.width == 1200
+        assert qt_canvas.renderer.height == 480
+
+        # The actual widget size and figure logical size don't change.
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+        set_device_pixel_ratio(1.5)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 180
+        assert qt_canvas.renderer.width == 900
+        assert qt_canvas.renderer.height == 360
+
+        # The actual widget size and figure logical size don't change.
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_subplottool():
+    fig, ax = plt.subplots()
+    with mock.patch("matplotlib.backends.qt_compat._exec", lambda obj: None):
+        tool = fig.canvas.manager.toolbar.configure_subplots()
+        assert tool is not None
+        assert tool == fig.canvas.manager.toolbar.configure_subplots()
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_figureoptions():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2])
+    ax.imshow([[1]])
+    ax.scatter(range(3), range(3), c=range(3))
+    with mock.patch("matplotlib.backends.qt_compat._exec", lambda obj: None):
+        fig.canvas.manager.toolbar.edit_parameters()
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_save_figure_return():
+    fig, ax = plt.subplots()
+    ax.imshow([[1]])
+    prop = "matplotlib.backends.qt_compat.QtWidgets.QFileDialog.getSaveFileName"
+    with mock.patch(prop, return_value=("foobar.png", None)):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        os.remove("foobar.png")
+        assert fname == "foobar.png"
+    with mock.patch(prop, return_value=(None, None)):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        assert fname is None
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_figureoptions_with_datetime_axes():
+    fig, ax = plt.subplots()
+    xydata = [
+        datetime(year=2021, month=1, day=1),
+        datetime(year=2021, month=2, day=1)
+    ]
+    ax.plot(xydata, xydata)
+    with mock.patch("matplotlib.backends.qt_compat._exec", lambda obj: None):
+        fig.canvas.manager.toolbar.edit_parameters()
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_double_resize():
+    # Check that resizing a figure twice keeps the same window size
+    fig, ax = plt.subplots()
+    fig.canvas.draw()
+    window = fig.canvas.manager.window
+
+    w, h = 3, 2
+    fig.set_size_inches(w, h)
+    assert fig.canvas.width() == w * matplotlib.rcParams['figure.dpi']
+    assert fig.canvas.height() == h * matplotlib.rcParams['figure.dpi']
+
+    old_width = window.width()
+    old_height = window.height()
+
+    fig.set_size_inches(w, h)
+    assert window.width() == old_width
+    assert window.height() == old_height
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_canvas_reinit():
+    from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg
+
+    called = False
+
+    def crashing_callback(fig, stale):
+        nonlocal called
+        fig.canvas.draw_idle()
+        called = True
+
+    fig, ax = plt.subplots()
+    fig.stale_callback = crashing_callback
+    # this should not raise
+    canvas = FigureCanvasQTAgg(fig)
+    fig.stale = True
+    assert called
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_form_widget_get_with_datetime_and_date_fields():
+    from matplotlib.backends.backend_qt import _create_qApp
+    _create_qApp()
+
+    form = [
+        ("Datetime field", datetime(year=2021, month=3, day=11)),
+        ("Date field", date(year=2021, month=3, day=11))
+    ]
+    widget = _formlayout.FormWidget(form)
+    widget.setup()
+    values = widget.get()
+    assert values == [
+        datetime(year=2021, month=3, day=11),
+        date(year=2021, month=3, day=11)
+    ]
+
+
+def _get_testable_qt_backends():
+    envs = []
+    for deps, env in [
+            ([qt_api], {"MPLBACKEND": "qtagg", "QT_API": qt_api})
+            for qt_api in ["PyQt6", "PySide6", "PyQt5", "PySide2"]
+    ]:
+        reason = None
+        missing = [dep for dep in deps if not importlib.util.find_spec(dep)]
+        if (sys.platform == "linux" and
+                not _c_internal_utils.display_is_valid()):
+            reason = "$DISPLAY and $WAYLAND_DISPLAY are unset"
+        elif missing:
+            reason = "{} cannot be imported".format(", ".join(missing))
+        elif env["MPLBACKEND"] == 'macosx' and os.environ.get('TF_BUILD'):
+            reason = "macosx backend fails on Azure"
+        marks = []
+        if reason:
+            marks.append(pytest.mark.skip(
+                reason=f"Skipping {env} because {reason}"))
+        envs.append(pytest.param(env, marks=marks, id=str(env)))
+    return envs
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_fig_sigint_override(qt_core):
+    from matplotlib.backends.backend_qt5 import _BackendQT5
+    # Create a figure
+    plt.figure()
+
+    # Variable to access the handler from the inside of the event loop
+    event_loop_handler = None
+
+    # Callback to fire during event loop: save SIGINT handler, then exit
+    def fire_signal_and_quit():
+        # Save event loop signal
+        nonlocal event_loop_handler
+        event_loop_handler = signal.getsignal(signal.SIGINT)
+
+        # Request event loop exit
+        qt_core.QCoreApplication.exit()
+
+    # Timer to exit event loop
+    qt_core.QTimer.singleShot(0, fire_signal_and_quit)
+
+    # Save original SIGINT handler
+    original_handler = signal.getsignal(signal.SIGINT)
+
+    # Use our own SIGINT handler to be 100% sure this is working
+    def custom_handler(signum, frame):
+        pass
+
+    signal.signal(signal.SIGINT, custom_handler)
+
+    try:
+        # mainloop() sets SIGINT, starts Qt event loop (which triggers timer
+        # and exits) and then mainloop() resets SIGINT
+        matplotlib.backends.backend_qt._BackendQT.mainloop()
+
+        # Assert: signal handler during loop execution is changed
+        # (can't test equality with func)
+        assert event_loop_handler != custom_handler
+
+        # Assert: current signal handler is the same as the one we set before
+        assert signal.getsignal(signal.SIGINT) == custom_handler
+
+        # Repeat again to test that SIG_DFL and SIG_IGN will not be overridden
+        for custom_handler in (signal.SIG_DFL, signal.SIG_IGN):
+            qt_core.QTimer.singleShot(0, fire_signal_and_quit)
+            signal.signal(signal.SIGINT, custom_handler)
+
+            _BackendQT5.mainloop()
+
+            assert event_loop_handler == custom_handler
+            assert signal.getsignal(signal.SIGINT) == custom_handler
+
+    finally:
+        # Reset SIGINT handler to what it was before the test
+        signal.signal(signal.SIGINT, original_handler)
+
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_ipython():
+    from matplotlib.testing import ipython_in_subprocess
+    ipython_in_subprocess("qt", {(8, 24): "qtagg", (8, 15): "QtAgg", (7, 0): "Qt5Agg"})
diff --git a/lib/matplotlib/tests/test_backend_qt4.py b/lib/matplotlib/tests/test_backend_qt4.py
deleted file mode 100644
index 511a765aaf2a..000000000000
--- a/lib/matplotlib/tests/test_backend_qt4.py
+++ /dev/null
@@ -1,160 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six import unichr
-from matplotlib import pyplot as plt
-from matplotlib.testing.decorators import cleanup
-from matplotlib.testing.decorators import knownfailureif
-from matplotlib._pylab_helpers import Gcf
-import copy
-
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
-
-try:
-    from matplotlib.backends.qt_compat import QtCore
-    from matplotlib.backends.backend_qt4 import (MODIFIER_KEYS,
-                                                 SUPER, ALT, CTRL, SHIFT)
-
-    _, ControlModifier, ControlKey = MODIFIER_KEYS[CTRL]
-    _, AltModifier, AltKey = MODIFIER_KEYS[ALT]
-    _, SuperModifier, SuperKey = MODIFIER_KEYS[SUPER]
-    _, ShiftModifier, ShiftKey = MODIFIER_KEYS[SHIFT]
-    HAS_QT = True
-except ImportError:
-    HAS_QT = False
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_fig_close():
-    # force switch to the Qt4 backend
-    plt.switch_backend('Qt4Agg')
-
-    #save the state of Gcf.figs
-    init_figs = copy.copy(Gcf.figs)
-
-    # make a figure using pyplot interface
-    fig = plt.figure()
-
-    # simulate user clicking the close button by reaching in
-    # and calling close on the underlying Qt object
-    fig.canvas.manager.window.close()
-
-    # assert that we have removed the reference to the FigureManager
-    # that got added by plt.figure()
-    assert(init_figs == Gcf.figs)
-
-
-def assert_correct_key(qt_key, qt_mods, answer):
-    """
-    Make a figure
-    Send a key_press_event event (using non-public, qt4 backend specific api)
-    Catch the event
-    Assert sent and caught keys are the same
-    """
-    plt.switch_backend('Qt4Agg')
-    qt_canvas = plt.figure().canvas
-
-    event = mock.Mock()
-    event.isAutoRepeat.return_value = False
-    event.key.return_value = qt_key
-    event.modifiers.return_value = qt_mods
-
-    def receive(event):
-        assert event.key == answer
-
-    qt_canvas.mpl_connect('key_press_event', receive)
-    qt_canvas.keyPressEvent(event)
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_shift():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       ShiftModifier,
-                       'A')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_lower():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       QtCore.Qt.NoModifier,
-                       'a')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_control():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       ControlModifier,
-                       'ctrl+a')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_unicode_upper():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       ShiftModifier,
-                       unichr(193))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_unicode_lower():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       QtCore.Qt.NoModifier,
-                       unichr(225))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_alt_control():
-    assert_correct_key(ControlKey,
-                       AltModifier,
-                       'alt+control')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_control_alt():
-    assert_correct_key(AltKey,
-                       ControlModifier,
-                       'ctrl+alt')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_modifier_order():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       (ControlModifier | AltModifier | SuperModifier),
-                       'ctrl+alt+super+' + unichr(225))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_backspace():
-    assert_correct_key(QtCore.Qt.Key_Backspace,
-                       QtCore.Qt.NoModifier,
-                       'backspace')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_backspace_mod():
-    assert_correct_key(QtCore.Qt.Key_Backspace,
-                       ControlModifier,
-                       'ctrl+backspace')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_non_unicode_key():
-    assert_correct_key(QtCore.Qt.Key_Play,
-                       QtCore.Qt.NoModifier,
-                       None)
diff --git a/lib/matplotlib/tests/test_backend_qt5.py b/lib/matplotlib/tests/test_backend_qt5.py
deleted file mode 100644
index 7867d62d9319..000000000000
--- a/lib/matplotlib/tests/test_backend_qt5.py
+++ /dev/null
@@ -1,160 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib import pyplot as plt
-from matplotlib.testing.decorators import cleanup
-from matplotlib.testing.decorators import knownfailureif
-from matplotlib._pylab_helpers import Gcf
-import copy
-
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
-
-try:
-    from matplotlib.backends.qt_compat import QtCore
-    from matplotlib.backends.backend_qt5 import (MODIFIER_KEYS,
-                                                 SUPER, ALT, CTRL, SHIFT)
-
-    _, ControlModifier, ControlKey = MODIFIER_KEYS[CTRL]
-    _, AltModifier, AltKey = MODIFIER_KEYS[ALT]
-    _, SuperModifier, SuperKey = MODIFIER_KEYS[SUPER]
-    _, ShiftModifier, ShiftKey = MODIFIER_KEYS[SHIFT]
-    HAS_QT = True
-except ImportError:
-    HAS_QT = False
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_fig_close():
-    # force switch to the Qt5 backend
-    plt.switch_backend('Qt5Agg')
-
-    # save the state of Gcf.figs
-    init_figs = copy.copy(Gcf.figs)
-
-    # make a figure using pyplot interface
-    fig = plt.figure()
-
-    # simulate user clicking the close button by reaching in
-    # and calling close on the underlying Qt object
-    fig.canvas.manager.window.close()
-
-    # assert that we have removed the reference to the FigureManager
-    # that got added by plt.figure()
-    assert(init_figs == Gcf.figs)
-
-
-def assert_correct_key(qt_key, qt_mods, answer):
-    """
-    Make a figure
-    Send a key_press_event event (using non-public, qt5 backend specific api)
-    Catch the event
-    Assert sent and caught keys are the same
-    """
-    plt.switch_backend('Qt5Agg')
-    qt_canvas = plt.figure().canvas
-
-    event = mock.Mock()
-    event.isAutoRepeat.return_value = False
-    event.key.return_value = qt_key
-    event.modifiers.return_value = qt_mods
-
-    def receive(event):
-        assert event.key == answer
-
-    qt_canvas.mpl_connect('key_press_event', receive)
-    qt_canvas.keyPressEvent(event)
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_shift():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       ShiftModifier,
-                       'A')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_lower():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       QtCore.Qt.NoModifier,
-                       'a')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_control():
-    assert_correct_key(QtCore.Qt.Key_A,
-                       ControlModifier,
-                       'ctrl+a')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_unicode_upper():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       ShiftModifier,
-                       unichr(193))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_unicode_lower():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       QtCore.Qt.NoModifier,
-                       unichr(225))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_alt_control():
-    assert_correct_key(ControlKey,
-                       AltModifier,
-                       'alt+control')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_control_alt():
-    assert_correct_key(AltKey,
-                       ControlModifier,
-                       'ctrl+alt')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_modifier_order():
-    assert_correct_key(QtCore.Qt.Key_Aacute,
-                       (ControlModifier | AltModifier | SuperModifier),
-                       'ctrl+alt+super+' + unichr(225))
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_backspace():
-    assert_correct_key(QtCore.Qt.Key_Backspace,
-                       QtCore.Qt.NoModifier,
-                       'backspace')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_backspace_mod():
-    assert_correct_key(QtCore.Qt.Key_Backspace,
-                       ControlModifier,
-                       'ctrl+backspace')
-
-
-@cleanup
-@knownfailureif(not HAS_QT)
-def test_non_unicode_key():
-    assert_correct_key(QtCore.Qt.Key_Play,
-                       QtCore.Qt.NoModifier,
-                       None)
diff --git a/lib/matplotlib/tests/test_backend_registry.py b/lib/matplotlib/tests/test_backend_registry.py
new file mode 100644
index 000000000000..2bd8e161bd6b
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_registry.py
@@ -0,0 +1,169 @@
+from collections.abc import Sequence
+from typing import Any
+
+import pytest
+
+from matplotlib.backends import BackendFilter, backend_registry
+
+
+@pytest.fixture
+def clear_backend_registry():
+    # Fixture that clears the singleton backend_registry before and after use
+    # so that the test state remains isolated.
+    backend_registry._clear()
+    yield
+    backend_registry._clear()
+
+
+def has_duplicates(seq: Sequence[Any]) -> bool:
+    return len(seq) > len(set(seq))
+
+
+@pytest.mark.parametrize(
+    'framework,expected',
+    [
+        ('qt', 'qtagg'),
+        ('gtk3', 'gtk3agg'),
+        ('gtk4', 'gtk4agg'),
+        ('wx', 'wxagg'),
+        ('tk', 'tkagg'),
+        ('macosx', 'macosx'),
+        ('headless', 'agg'),
+        ('does not exist', None),
+    ]
+)
+def test_backend_for_gui_framework(framework, expected):
+    assert backend_registry.backend_for_gui_framework(framework) == expected
+
+
+def test_list_builtin():
+    backends = backend_registry.list_builtin()
+    assert not has_duplicates(backends)
+    # Compare using sets as order is not important
+    assert {*backends} == {
+        'gtk3agg', 'gtk3cairo', 'gtk4agg', 'gtk4cairo', 'macosx', 'nbagg', 'notebook',
+        'qtagg', 'qtcairo', 'qt5agg', 'qt5cairo', 'tkagg',
+        'tkcairo', 'webagg', 'wx', 'wxagg', 'wxcairo', 'agg', 'cairo', 'pdf', 'pgf',
+        'ps', 'svg', 'template',
+    }
+
+
+@pytest.mark.parametrize(
+    'filter,expected',
+    [
+        (BackendFilter.INTERACTIVE,
+         ['gtk3agg', 'gtk3cairo', 'gtk4agg', 'gtk4cairo', 'macosx', 'nbagg', 'notebook',
+          'qtagg', 'qtcairo', 'qt5agg', 'qt5cairo', 'tkagg',
+          'tkcairo', 'webagg', 'wx', 'wxagg', 'wxcairo']),
+        (BackendFilter.NON_INTERACTIVE,
+         ['agg', 'cairo', 'pdf', 'pgf', 'ps', 'svg', 'template']),
+    ]
+)
+def test_list_builtin_with_filter(filter, expected):
+    backends = backend_registry.list_builtin(filter)
+    assert not has_duplicates(backends)
+    # Compare using sets as order is not important
+    assert {*backends} == {*expected}
+
+
+def test_list_gui_frameworks():
+    frameworks = backend_registry.list_gui_frameworks()
+    assert not has_duplicates(frameworks)
+    # Compare using sets as order is not important
+    assert {*frameworks} == {
+        "gtk3", "gtk4", "macosx", "qt", "qt5", "qt6", "tk", "wx",
+    }
+
+
+@pytest.mark.parametrize("backend, is_valid", [
+    ("agg", True),
+    ("QtAgg", True),
+    ("module://anything", True),
+    ("made-up-name", False),
+])
+def test_is_valid_backend(backend, is_valid):
+    assert backend_registry.is_valid_backend(backend) == is_valid
+
+
+@pytest.mark.parametrize("backend, normalized", [
+    ("agg", "matplotlib.backends.backend_agg"),
+    ("QtAgg", "matplotlib.backends.backend_qtagg"),
+    ("module://Anything", "Anything"),
+])
+def test_backend_normalization(backend, normalized):
+    assert backend_registry._backend_module_name(backend) == normalized
+
+
+def test_entry_points_inline():
+    pytest.importorskip('matplotlib_inline')
+    backends = backend_registry.list_all()
+    assert 'inline' in backends
+
+
+def test_entry_points_ipympl():
+    pytest.importorskip('ipympl')
+    backends = backend_registry.list_all()
+    assert 'ipympl' in backends
+    assert 'widget' in backends
+
+
+def test_entry_point_name_shadows_builtin(clear_backend_registry):
+    with pytest.raises(RuntimeError):
+        backend_registry._validate_and_store_entry_points(
+            [('qtagg', 'module1')])
+
+
+def test_entry_point_name_duplicate(clear_backend_registry):
+    with pytest.raises(RuntimeError):
+        backend_registry._validate_and_store_entry_points(
+            [('some_name', 'module1'), ('some_name', 'module2')])
+
+
+def test_entry_point_identical(clear_backend_registry):
+    # Issue https://github.com/matplotlib/matplotlib/issues/28367
+    # Multiple entry points with the same name and value (value is the module)
+    # are acceptable.
+    n = len(backend_registry._name_to_module)
+    backend_registry._validate_and_store_entry_points(
+        [('some_name', 'some.module'), ('some_name', 'some.module')])
+    assert len(backend_registry._name_to_module) == n+1
+    assert backend_registry._name_to_module['some_name'] == 'module://some.module'
+
+
+def test_entry_point_name_is_module(clear_backend_registry):
+    with pytest.raises(RuntimeError):
+        backend_registry._validate_and_store_entry_points(
+            [('module://backend.something', 'module1')])
+
+
+@pytest.mark.parametrize('backend', [
+    'agg',
+    'module://matplotlib.backends.backend_agg',
+])
+def test_load_entry_points_only_if_needed(clear_backend_registry, backend):
+    assert not backend_registry._loaded_entry_points
+    check = backend_registry.resolve_backend(backend)
+    assert check == (backend, None)
+    assert not backend_registry._loaded_entry_points
+    backend_registry.list_all()  # Force load of entry points
+    assert backend_registry._loaded_entry_points
+
+
+@pytest.mark.parametrize(
+    'gui_or_backend, expected_backend, expected_gui',
+    [
+        ('agg', 'agg', None),
+        ('qt', 'qtagg', 'qt'),
+        ('TkCairo', 'tkcairo', 'tk'),
+    ]
+)
+def test_resolve_gui_or_backend(gui_or_backend, expected_backend, expected_gui):
+    backend, gui = backend_registry.resolve_gui_or_backend(gui_or_backend)
+    assert backend == expected_backend
+    assert gui == expected_gui
+
+
+def test_resolve_gui_or_backend_invalid():
+    match = "is not a recognised GUI loop or backend name"
+    with pytest.raises(RuntimeError, match=match):
+        backend_registry.resolve_gui_or_backend('no-such-name')
diff --git a/lib/matplotlib/tests/test_backend_svg.py b/lib/matplotlib/tests/test_backend_svg.py
index 724e6c509498..2c64b7c24b3e 100644
--- a/lib/matplotlib/tests/test_backend_svg.py
+++ b/lib/matplotlib/tests/test_backend_svg.py
@@ -1,21 +1,27 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import datetime
+from io import BytesIO
+from pathlib import Path
+import xml.etree.ElementTree
+import xml.parsers.expat
 
-import six
+import pytest
 
 import numpy as np
-from io import BytesIO
-import xml.parsers.expat
 
+import matplotlib as mpl
+from matplotlib.figure import Figure
+from matplotlib.patches import Circle
+from matplotlib.text import Text
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import cleanup
-from matplotlib.testing.decorators import image_comparison
+from matplotlib.testing import _gen_multi_font_text
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing._markers import needs_usetex
+from matplotlib import font_manager as fm
+from matplotlib.offsetbox import (OffsetImage, AnnotationBbox)
 
 
-@cleanup
 def test_visibility():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
 
     x = np.linspace(0, 4 * np.pi, 50)
     y = np.sin(x)
@@ -25,53 +31,674 @@ def test_visibility():
     for artist in b:
         artist.set_visible(False)
 
-    fd = BytesIO()
-    fig.savefig(fd, format='svg')
-
-    fd.seek(0)
-    buf = fd.read()
-    fd.close()
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue()
 
     parser = xml.parsers.expat.ParserCreate()
     parser.Parse(buf)  # this will raise ExpatError if the svg is invalid
 
 
-@image_comparison(baseline_images=['fill_black_with_alpha'], remove_text=True,
-                  extensions=['svg'])
+@image_comparison(['fill_black_with_alpha.svg'], remove_text=True)
 def test_fill_black_with_alpha():
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.scatter(x=[0, 0.1, 1], y=[0, 0, 0], c='k', alpha=0.1, s=10000)
 
 
-@image_comparison(baseline_images=['noscale'], remove_text=True)
+@image_comparison(['noscale'], remove_text=True)
 def test_noscale():
     X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
     Z = np.sin(Y ** 2)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
-    ax.imshow(Z, cmap='gray')
-    plt.rcParams['svg.image_noscale'] = True
+    fig, ax = plt.subplots()
+    ax.imshow(Z, cmap='gray', interpolation='none')
 
 
-@cleanup
 def test_text_urls():
     fig = plt.figure()
 
     test_url = "http://test_text_urls.matplotlib.org"
     fig.suptitle("test_text_urls", url=test_url)
 
-    fd = BytesIO()
-    fig.savefig(fd, format='svg')
-    fd.seek(0)
-    buf = fd.read().decode()
-    fd.close()
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
 
-    expected = '<a xlink:href="{0}">'.format(test_url)
+    expected = f'<a xlink:href="{test_url}">'
     assert expected in buf
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+@image_comparison(['bold_font_output.svg'])
+def test_bold_font_output():
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10))
+    ax.set_xlabel('nonbold-xlabel')
+    ax.set_ylabel('bold-ylabel', fontweight='bold')
+    ax.set_title('bold-title', fontweight='bold')
+
+
+@image_comparison(['bold_font_output_with_none_fonttype.svg'])
+def test_bold_font_output_with_none_fonttype():
+    plt.rcParams['svg.fonttype'] = 'none'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10))
+    ax.set_xlabel('nonbold-xlabel')
+    ax.set_ylabel('bold-ylabel', fontweight='bold')
+    ax.set_title('bold-title', fontweight='bold')
+
+
+@check_figures_equal(extensions=['svg'], tol=20)
+def test_rasterized(fig_test, fig_ref):
+    t = np.arange(0, 100) * (2.3)
+    x = np.cos(t)
+    y = np.sin(t)
+
+    ax_ref = fig_ref.subplots()
+    ax_ref.plot(x, y, "-", c="r", lw=10)
+    ax_ref.plot(x+1, y, "-", c="b", lw=10)
+
+    ax_test = fig_test.subplots()
+    ax_test.plot(x, y, "-", c="r", lw=10, rasterized=True)
+    ax_test.plot(x+1, y, "-", c="b", lw=10, rasterized=True)
+
+
+@check_figures_equal(extensions=['svg'])
+def test_rasterized_ordering(fig_test, fig_ref):
+    t = np.arange(0, 100) * (2.3)
+    x = np.cos(t)
+    y = np.sin(t)
+
+    ax_ref = fig_ref.subplots()
+    ax_ref.set_xlim(0, 3)
+    ax_ref.set_ylim(-1.1, 1.1)
+    ax_ref.plot(x, y, "-", c="r", lw=10, rasterized=True)
+    ax_ref.plot(x+1, y, "-", c="b", lw=10, rasterized=False)
+    ax_ref.plot(x+2, y, "-", c="g", lw=10, rasterized=True)
+    ax_ref.plot(x+3, y, "-", c="m", lw=10, rasterized=True)
+
+    ax_test = fig_test.subplots()
+    ax_test.set_xlim(0, 3)
+    ax_test.set_ylim(-1.1, 1.1)
+    ax_test.plot(x, y, "-", c="r", lw=10, rasterized=True, zorder=1.1)
+    ax_test.plot(x+2, y, "-", c="g", lw=10, rasterized=True, zorder=1.3)
+    ax_test.plot(x+3, y, "-", c="m", lw=10, rasterized=True, zorder=1.4)
+    ax_test.plot(x+1, y, "-", c="b", lw=10, rasterized=False, zorder=1.2)
+
+
+@check_figures_equal(tol=5, extensions=['svg', 'pdf'])
+def test_prevent_rasterization(fig_test, fig_ref):
+    loc = [0.05, 0.05]
+
+    ax_ref = fig_ref.subplots()
+
+    ax_ref.plot([loc[0]], [loc[1]], marker="x", c="black", zorder=2)
+
+    b = mpl.offsetbox.TextArea("X")
+    abox = mpl.offsetbox.AnnotationBbox(b, loc, zorder=2.1)
+    ax_ref.add_artist(abox)
+
+    ax_test = fig_test.subplots()
+    ax_test.plot([loc[0]], [loc[1]], marker="x", c="black", zorder=2,
+                 rasterized=True)
+
+    b = mpl.offsetbox.TextArea("X")
+    abox = mpl.offsetbox.AnnotationBbox(b, loc, zorder=2.1)
+    ax_test.add_artist(abox)
+
+
+def test_count_bitmaps():
+    def count_tag(fig, tag):
+        with BytesIO() as fd:
+            fig.savefig(fd, format='svg')
+            buf = fd.getvalue().decode()
+        return buf.count(f"<{tag}")
+
+    # No rasterized elements
+    fig1 = plt.figure()
+    ax1 = fig1.add_subplot(1, 1, 1)
+    ax1.set_axis_off()
+    for n in range(5):
+        ax1.plot([0, 20], [0, n], "b-", rasterized=False)
+    assert count_tag(fig1, "image") == 0
+    assert count_tag(fig1, "path") == 6  # axis patch plus lines
+
+    # rasterized can be merged
+    fig2 = plt.figure()
+    ax2 = fig2.add_subplot(1, 1, 1)
+    ax2.set_axis_off()
+    for n in range(5):
+        ax2.plot([0, 20], [0, n], "b-", rasterized=True)
+    assert count_tag(fig2, "image") == 1
+    assert count_tag(fig2, "path") == 1  # axis patch
+
+    # rasterized can't be merged without affecting draw order
+    fig3 = plt.figure()
+    ax3 = fig3.add_subplot(1, 1, 1)
+    ax3.set_axis_off()
+    for n in range(5):
+        ax3.plot([0, 20], [n, 0], "b-", rasterized=False)
+        ax3.plot([0, 20], [0, n], "b-", rasterized=True)
+    assert count_tag(fig3, "image") == 5
+    assert count_tag(fig3, "path") == 6
+
+    # rasterized whole axes
+    fig4 = plt.figure()
+    ax4 = fig4.add_subplot(1, 1, 1)
+    ax4.set_axis_off()
+    ax4.set_rasterized(True)
+    for n in range(5):
+        ax4.plot([0, 20], [n, 0], "b-", rasterized=False)
+        ax4.plot([0, 20], [0, n], "b-", rasterized=True)
+    assert count_tag(fig4, "image") == 1
+    assert count_tag(fig4, "path") == 1
+
+    # rasterized can be merged, but inhibited by suppressComposite
+    fig5 = plt.figure()
+    fig5.suppressComposite = True
+    ax5 = fig5.add_subplot(1, 1, 1)
+    ax5.set_axis_off()
+    for n in range(5):
+        ax5.plot([0, 20], [0, n], "b-", rasterized=True)
+    assert count_tag(fig5, "image") == 5
+    assert count_tag(fig5, "path") == 1  # axis patch
+
+
+# Use Computer Modern Sans Serif, not Helvetica (which has no \textwon).
+@mpl.style.context('default')
+@needs_usetex
+def test_unicode_won():
+    fig = Figure()
+    fig.text(.5, .5, r'\textwon', usetex=True)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue()
+
+    tree = xml.etree.ElementTree.fromstring(buf)
+    ns = 'http://www.w3.org/2000/svg'
+    won_id = 'SFSS1728-8e'
+    assert len(tree.findall(f'.//{{{ns}}}path[@d][@id="{won_id}"]')) == 1
+    assert f'#{won_id}' in tree.find(f'.//{{{ns}}}use').attrib.values()
+
+
+def test_svgnone_with_data_coordinates():
+    plt.rcParams.update({'svg.fonttype': 'none', 'font.stretch': 'condensed'})
+    expected = 'Unlikely to appear by chance'
+
+    fig, ax = plt.subplots()
+    ax.text(np.datetime64('2019-06-30'), 1, expected)
+    ax.set_xlim(np.datetime64('2019-01-01'), np.datetime64('2019-12-31'))
+    ax.set_ylim(0, 2)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        fd.seek(0)
+        buf = fd.read().decode()
+
+    assert expected in buf and "condensed" in buf
+
+
+def test_gid():
+    """Test that object gid appears in output svg."""
+    from matplotlib.offsetbox import OffsetBox
+    from matplotlib.axis import Tick
+
+    fig = plt.figure()
+
+    ax1 = fig.add_subplot(131)
+    ax1.imshow([[1., 2.], [2., 3.]], aspect="auto")
+    ax1.scatter([1, 2, 3], [1, 2, 3], label="myscatter")
+    ax1.plot([2, 3, 1], label="myplot")
+    ax1.legend()
+    ax1a = ax1.twinx()
+    ax1a.bar([1, 2, 3], [1, 2, 3])
+
+    ax2 = fig.add_subplot(132, projection="polar")
+    ax2.plot([0, 1.5, 3], [1, 2, 3])
+
+    ax3 = fig.add_subplot(133, projection="3d")
+    ax3.plot([1, 2], [1, 2], [1, 2])
+
+    fig.canvas.draw()
+
+    gdic = {}
+    for idx, obj in enumerate(fig.findobj(include_self=True)):
+        if obj.get_visible():
+            gid = f"test123{obj.__class__.__name__}_{idx}"
+            gdic[gid] = obj
+            obj.set_gid(gid)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
+
+    def include(gid, obj):
+        # we need to exclude certain objects which will not appear in the svg
+        if isinstance(obj, OffsetBox):
+            return False
+        if isinstance(obj, Text):
+            if obj.get_text() == "":
+                return False
+            elif obj.axes is None:
+                return False
+        if isinstance(obj, plt.Line2D):
+            xdata, ydata = obj.get_data()
+            if len(xdata) == len(ydata) == 1:
+                return False
+            elif not hasattr(obj, "axes") or obj.axes is None:
+                return False
+        if isinstance(obj, Tick):
+            loc = obj.get_loc()
+            if loc == 0:
+                return False
+            vi = obj.get_view_interval()
+            if loc < min(vi) or loc > max(vi):
+                return False
+        return True
+
+    for gid, obj in gdic.items():
+        if include(gid, obj):
+            assert gid in buf
+
+
+def test_clip_path_ids_reuse():
+    fig, circle = Figure(), Circle((0, 0), radius=10)
+    for i in range(5):
+        ax = fig.add_subplot()
+        aimg = ax.imshow([[i]])
+        aimg.set_clip_path(circle)
+
+    inner_circle = Circle((0, 0), radius=1)
+    ax = fig.add_subplot()
+    aimg = ax.imshow([[0]])
+    aimg.set_clip_path(inner_circle)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue()
+
+    tree = xml.etree.ElementTree.fromstring(buf)
+    ns = 'http://www.w3.org/2000/svg'
+
+    clip_path_ids = set()
+    for node in tree.findall(f'.//{{{ns}}}clipPath[@id]'):
+        node_id = node.attrib['id']
+        assert node_id not in clip_path_ids  # assert ID uniqueness
+        clip_path_ids.add(node_id)
+    assert len(clip_path_ids) == 2  # only two clipPaths despite reuse in multiple axes
+
+
+def test_savefig_tight():
+    # Check that the draw-disabled renderer correctly disables open/close_group
+    # as well.
+    plt.savefig(BytesIO(), format="svgz", bbox_inches="tight")
+
+
+def test_url():
+    # Test that object url appears in output svg.
+
+    fig, ax = plt.subplots()
+
+    # collections
+    s = ax.scatter([1, 2, 3], [4, 5, 6])
+    s.set_urls(['https://example.com/foo', 'https://example.com/bar', None])
+
+    # Line2D
+    p, = plt.plot([2, 3, 4], [4, 5, 6])
+    p.set_url('https://example.com/baz')
+
+    # Line2D markers-only
+    p, = plt.plot([3, 4, 5], [4, 5, 6], linestyle='none', marker='x')
+    p.set_url('https://example.com/quux')
+
+    b = BytesIO()
+    fig.savefig(b, format='svg')
+    b = b.getvalue()
+    for v in [b'foo', b'bar', b'baz', b'quux']:
+        assert b'https://example.com/' + v in b
+
+
+def test_url_tick(monkeypatch):
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '19680801')
+
+    fig1, ax = plt.subplots()
+    ax.scatter([1, 2, 3], [4, 5, 6])
+    for i, tick in enumerate(ax.yaxis.get_major_ticks()):
+        tick.set_url(f'https://example.com/{i}')
+
+    fig2, ax = plt.subplots()
+    ax.scatter([1, 2, 3], [4, 5, 6])
+    for i, tick in enumerate(ax.yaxis.get_major_ticks()):
+        tick.label1.set_url(f'https://example.com/{i}')
+        tick.label2.set_url(f'https://example.com/{i}')
+
+    b1 = BytesIO()
+    fig1.savefig(b1, format='svg')
+    b1 = b1.getvalue()
+
+    b2 = BytesIO()
+    fig2.savefig(b2, format='svg')
+    b2 = b2.getvalue()
+
+    for i in range(len(ax.yaxis.get_major_ticks())):
+        assert f'https://example.com/{i}'.encode('ascii') in b1
+    assert b1 == b2
+
+
+def test_svg_default_metadata(monkeypatch):
+    # Values have been predefined for 'Creator', 'Date', 'Format', and 'Type'.
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '19680801')
+
+    fig, ax = plt.subplots()
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
+
+    # Creator
+    assert mpl.__version__ in buf
+    # Date
+    assert '1970-08-16' in buf
+    # Format
+    assert 'image/svg+xml' in buf
+    # Type
+    assert 'StillImage' in buf
+
+    # Now make sure all the default metadata can be cleared.
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg', metadata={'Date': None, 'Creator': None,
+                                                'Format': None, 'Type': None})
+        buf = fd.getvalue().decode()
+
+    # Creator
+    assert mpl.__version__ not in buf
+    # Date
+    assert '1970-08-16' not in buf
+    # Format
+    assert 'image/svg+xml' not in buf
+    # Type
+    assert 'StillImage' not in buf
+
+
+def test_svg_clear_default_metadata(monkeypatch):
+    # Makes sure that setting a default metadata to `None`
+    # removes the corresponding tag from the metadata.
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '19680801')
+
+    metadata_contains = {'creator': mpl.__version__, 'date': '1970-08-16',
+                         'format': 'image/svg+xml', 'type': 'StillImage'}
+
+    SVGNS = '{http://www.w3.org/2000/svg}'
+    RDFNS = '{http://www.w3.org/1999/02/22-rdf-syntax-ns#}'
+    CCNS = '{http://creativecommons.org/ns#}'
+    DCNS = '{http://purl.org/dc/elements/1.1/}'
+
+    fig, ax = plt.subplots()
+    for name in metadata_contains:
+        with BytesIO() as fd:
+            fig.savefig(fd, format='svg', metadata={name.title(): None})
+            buf = fd.getvalue().decode()
+
+        root = xml.etree.ElementTree.fromstring(buf)
+        work, = root.findall(f'./{SVGNS}metadata/{RDFNS}RDF/{CCNS}Work')
+        for key in metadata_contains:
+            data = work.findall(f'./{DCNS}{key}')
+            if key == name:
+                # The one we cleared is not there
+                assert not data
+                continue
+            # Everything else should be there
+            data, = data
+            xmlstr = xml.etree.ElementTree.tostring(data, encoding="unicode")
+            assert metadata_contains[key] in xmlstr
+
+
+def test_svg_clear_all_metadata():
+    # Makes sure that setting all default metadata to `None`
+    # removes the metadata tag from the output.
+
+    fig, ax = plt.subplots()
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg', metadata={'Date': None, 'Creator': None,
+                                                'Format': None, 'Type': None})
+        buf = fd.getvalue().decode()
+
+    SVGNS = '{http://www.w3.org/2000/svg}'
+
+    root = xml.etree.ElementTree.fromstring(buf)
+    assert not root.findall(f'./{SVGNS}metadata')
+
+
+def test_svg_metadata():
+    single_value = ['Coverage', 'Identifier', 'Language', 'Relation', 'Source',
+                    'Title', 'Type']
+    multi_value = ['Contributor', 'Creator', 'Keywords', 'Publisher', 'Rights']
+    metadata = {
+        'Date': [datetime.date(1968, 8, 1),
+                 datetime.datetime(1968, 8, 2, 1, 2, 3)],
+        'Description': 'description\ntext',
+        **{k: f'{k} foo' for k in single_value},
+        **{k: [f'{k} bar', f'{k} baz'] for k in multi_value},
+    }
+
+    fig = plt.figure()
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg', metadata=metadata)
+        buf = fd.getvalue().decode()
+
+    SVGNS = '{http://www.w3.org/2000/svg}'
+    RDFNS = '{http://www.w3.org/1999/02/22-rdf-syntax-ns#}'
+    CCNS = '{http://creativecommons.org/ns#}'
+    DCNS = '{http://purl.org/dc/elements/1.1/}'
+
+    root = xml.etree.ElementTree.fromstring(buf)
+    rdf, = root.findall(f'./{SVGNS}metadata/{RDFNS}RDF')
+
+    # Check things that are single entries.
+    titles = [node.text for node in root.findall(f'./{SVGNS}title')]
+    assert titles == [metadata['Title']]
+    types = [node.attrib[f'{RDFNS}resource']
+             for node in rdf.findall(f'./{CCNS}Work/{DCNS}type')]
+    assert types == [metadata['Type']]
+    for k in ['Description', *single_value]:
+        if k == 'Type':
+            continue
+        values = [node.text
+                  for node in rdf.findall(f'./{CCNS}Work/{DCNS}{k.lower()}')]
+        assert values == [metadata[k]]
+
+    # Check things that are multi-value entries.
+    for k in multi_value:
+        if k == 'Keywords':
+            continue
+        values = [
+            node.text
+            for node in rdf.findall(
+                f'./{CCNS}Work/{DCNS}{k.lower()}/{CCNS}Agent/{DCNS}title')]
+        assert values == metadata[k]
+
+    # Check special things.
+    dates = [node.text for node in rdf.findall(f'./{CCNS}Work/{DCNS}date')]
+    assert dates == ['1968-08-01/1968-08-02T01:02:03']
+
+    values = [node.text for node in
+              rdf.findall(f'./{CCNS}Work/{DCNS}subject/{RDFNS}Bag/{RDFNS}li')]
+    assert values == metadata['Keywords']
+
+
+@image_comparison(["multi_font_aspath.svg"])
+def test_multi_font_type3():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('svg', fonttype='path')
+
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@image_comparison(["multi_font_astext.svg"])
+def test_multi_font_type42():
+    fonts, test_str = _gen_multi_font_text()
+    plt.rc('font', family=fonts, size=16)
+    plt.rc('svg', fonttype='none')
+
+    fig = plt.figure()
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize('metadata,error,message', [
+    ({'Date': 1}, TypeError, "Invalid type for Date metadata. Expected str"),
+    ({'Date': [1]}, TypeError,
+     "Invalid type for Date metadata. Expected iterable"),
+    ({'Keywords': 1}, TypeError,
+     "Invalid type for Keywords metadata. Expected str"),
+    ({'Keywords': [1]}, TypeError,
+     "Invalid type for Keywords metadata. Expected iterable"),
+    ({'Creator': 1}, TypeError,
+     "Invalid type for Creator metadata. Expected str"),
+    ({'Creator': [1]}, TypeError,
+     "Invalid type for Creator metadata. Expected iterable"),
+    ({'Title': 1}, TypeError,
+     "Invalid type for Title metadata. Expected str"),
+    ({'Format': 1}, TypeError,
+     "Invalid type for Format metadata. Expected str"),
+    ({'Foo': 'Bar'}, ValueError, "Unknown metadata key"),
+    ])
+def test_svg_incorrect_metadata(metadata, error, message):
+    with pytest.raises(error, match=message), BytesIO() as fd:
+        fig = plt.figure()
+        fig.savefig(fd, format='svg', metadata=metadata)
+
+
+def test_svg_escape():
+    fig = plt.figure()
+    fig.text(0.5, 0.5, "<\'\"&>", gid="<\'\"&>")
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
+        assert '&lt;&apos;&quot;&amp;&gt;"' in buf
+
+
+@pytest.mark.parametrize("font_str", [
+    "'DejaVu Sans', 'WenQuanYi Zen Hei', 'Arial', sans-serif",
+    "'DejaVu Serif', 'WenQuanYi Zen Hei', 'Times New Roman', serif",
+    "'Arial', 'WenQuanYi Zen Hei', cursive",
+    "'Impact', 'WenQuanYi Zen Hei', fantasy",
+    "'DejaVu Sans Mono', 'WenQuanYi Zen Hei', 'Courier New', monospace",
+    # These do not work because the logic to get the font metrics will not find
+    # WenQuanYi as the fallback logic stops with the first fallback font:
+    # "'DejaVu Sans Mono', 'Courier New', 'WenQuanYi Zen Hei', monospace",
+    # "'DejaVu Sans', 'Arial', 'WenQuanYi Zen Hei', sans-serif",
+    # "'DejaVu Serif', 'Times New Roman', 'WenQuanYi Zen Hei',  serif",
+])
+@pytest.mark.parametrize("include_generic", [True, False])
+def test_svg_font_string(font_str, include_generic):
+    fp = fm.FontProperties(family=["WenQuanYi Zen Hei"])
+    if Path(fm.findfont(fp)).name != "wqy-zenhei.ttc":
+        pytest.skip("Font may be missing")
+
+    explicit, *rest, generic = map(
+        lambda x: x.strip("'"), font_str.split(", ")
+    )
+    size = len(generic)
+    if include_generic:
+        rest = rest + [generic]
+    plt.rcParams[f"font.{generic}"] = rest
+    plt.rcParams["font.size"] = size
+    plt.rcParams["svg.fonttype"] = "none"
+
+    fig, ax = plt.subplots()
+    if generic == "sans-serif":
+        generic_options = ["sans", "sans-serif", "sans serif"]
+    else:
+        generic_options = [generic]
+
+    for generic_name in generic_options:
+        # test that fallback works
+        ax.text(0.5, 0.5, "There are 几个汉字 in between!",
+                family=[explicit, generic_name], ha="center")
+        # test deduplication works
+        ax.text(0.5, 0.1, "There are 几个汉字 in between!",
+                family=[explicit, *rest, generic_name], ha="center")
+    ax.axis("off")
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format="svg")
+        buf = fd.getvalue()
+
+    tree = xml.etree.ElementTree.fromstring(buf)
+    ns = "http://www.w3.org/2000/svg"
+    text_count = 0
+    for text_element in tree.findall(f".//{{{ns}}}text"):
+        text_count += 1
+        font_style = dict(
+            map(lambda x: x.strip(), _.strip().split(":"))
+            for _ in dict(text_element.items())["style"].split(";")
+        )
+
+        assert font_style["font-size"] == f"{size}px"
+        assert font_style["font-family"] == font_str
+    assert text_count == len(ax.texts)
+
+
+def test_annotationbbox_gid():
+    # Test that object gid appears in the AnnotationBbox
+    # in output svg.
+    fig = plt.figure()
+    ax = fig.add_subplot()
+    arr_img = np.ones((32, 32))
+    xy = (0.3, 0.55)
+
+    imagebox = OffsetImage(arr_img, zoom=0.1)
+    imagebox.image.axes = ax
+
+    ab = AnnotationBbox(imagebox, xy,
+                        xybox=(120., -80.),
+                        xycoords='data',
+                        boxcoords="offset points",
+                        pad=0.5,
+                        arrowprops=dict(
+                            arrowstyle="->",
+                            connectionstyle="angle,angleA=0,angleB=90,rad=3")
+                        )
+    ab.set_gid("a test for issue 20044")
+    ax.add_artist(ab)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode('utf-8')
+
+    expected = '<g id="a test for issue 20044">'
+    assert expected in buf
+
+
+def test_svgid():
+    """Test that `svg.id` rcparam appears in output svg if not None."""
+
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], [3, 2, 1])
+    fig.canvas.draw()
+
+    # Default: svg.id = None
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
+
+    tree = xml.etree.ElementTree.fromstring(buf)
+
+    assert plt.rcParams['svg.id'] is None
+    assert not tree.findall('.[@id]')
+
+    # String: svg.id = str
+    svg_id = 'a test for issue 28535'
+    plt.rc('svg', id=svg_id)
+
+    with BytesIO() as fd:
+        fig.savefig(fd, format='svg')
+        buf = fd.getvalue().decode()
+
+    tree = xml.etree.ElementTree.fromstring(buf)
+
+    assert plt.rcParams['svg.id'] == svg_id
+    assert tree.findall(f'.[@id="{svg_id}"]')
diff --git a/lib/matplotlib/tests/test_backend_template.py b/lib/matplotlib/tests/test_backend_template.py
new file mode 100644
index 000000000000..964d15c1559a
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_template.py
@@ -0,0 +1,62 @@
+"""
+Backend-loading machinery tests, using variations on the template backend.
+"""
+
+import sys
+from types import SimpleNamespace
+from unittest.mock import MagicMock
+
+import matplotlib as mpl
+from matplotlib import pyplot as plt
+from matplotlib.backends import backend_template
+from matplotlib.backends.backend_template import (
+    FigureCanvasTemplate, FigureManagerTemplate)
+
+
+def test_load_template():
+    mpl.use("template")
+    assert type(plt.figure().canvas) == FigureCanvasTemplate
+
+
+def test_load_old_api(monkeypatch):
+    mpl_test_backend = SimpleNamespace(**vars(backend_template))
+    mpl_test_backend.new_figure_manager = (
+        lambda num, *args, FigureClass=mpl.figure.Figure, **kwargs:
+        FigureManagerTemplate(
+            FigureCanvasTemplate(FigureClass(*args, **kwargs)), num))
+    monkeypatch.setitem(sys.modules, "mpl_test_backend", mpl_test_backend)
+    mpl.use("module://mpl_test_backend")
+    assert type(plt.figure().canvas) == FigureCanvasTemplate
+    plt.draw_if_interactive()
+
+
+def test_show(monkeypatch):
+    mpl_test_backend = SimpleNamespace(**vars(backend_template))
+    mock_show = MagicMock()
+    monkeypatch.setattr(
+        mpl_test_backend.FigureManagerTemplate, "pyplot_show", mock_show)
+    monkeypatch.setitem(sys.modules, "mpl_test_backend", mpl_test_backend)
+    mpl.use("module://mpl_test_backend")
+    plt.show()
+    mock_show.assert_called_with()
+
+
+def test_show_old_global_api(monkeypatch):
+    mpl_test_backend = SimpleNamespace(**vars(backend_template))
+    mock_show = MagicMock()
+    monkeypatch.setattr(mpl_test_backend, "show", mock_show, raising=False)
+    monkeypatch.setitem(sys.modules, "mpl_test_backend", mpl_test_backend)
+    mpl.use("module://mpl_test_backend")
+    plt.show()
+    mock_show.assert_called_with()
+
+
+def test_load_case_sensitive(monkeypatch):
+    mpl_test_backend = SimpleNamespace(**vars(backend_template))
+    mock_show = MagicMock()
+    monkeypatch.setattr(
+        mpl_test_backend.FigureManagerTemplate, "pyplot_show", mock_show)
+    monkeypatch.setitem(sys.modules, "mpl_Test_Backend", mpl_test_backend)
+    mpl.use("module://mpl_Test_Backend")
+    plt.show()
+    mock_show.assert_called_with()
diff --git a/lib/matplotlib/tests/test_backend_tk.py b/lib/matplotlib/tests/test_backend_tk.py
new file mode 100644
index 000000000000..1f96ad1308cb
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_tk.py
@@ -0,0 +1,282 @@
+import functools
+import importlib
+import os
+import platform
+import subprocess
+import sys
+
+import pytest
+
+from matplotlib import _c_internal_utils
+from matplotlib.testing import subprocess_run_helper
+
+
+_test_timeout = 60  # A reasonably safe value for slower architectures.
+
+
+def _isolated_tk_test(success_count, func=None):
+    """
+    A decorator to run *func* in a subprocess and assert that it prints
+    "success" *success_count* times and nothing on stderr.
+
+    TkAgg tests seem to have interactions between tests, so isolate each test
+    in a subprocess. See GH#18261
+    """
+
+    if func is None:
+        return functools.partial(_isolated_tk_test, success_count)
+
+    if "MPL_TEST_ESCAPE_HATCH" in os.environ:
+        # set in subprocess_run_helper() below
+        return func
+
+    @pytest.mark.skipif(
+        not importlib.util.find_spec('tkinter'),
+        reason="missing tkinter"
+    )
+    @pytest.mark.skipif(
+        sys.platform == "linux" and not _c_internal_utils.xdisplay_is_valid(),
+        reason="$DISPLAY is unset"
+    )
+    @pytest.mark.xfail(  # https://github.com/actions/setup-python/issues/649
+        ('TF_BUILD' in os.environ or 'GITHUB_ACTION' in os.environ) and
+        sys.platform == 'darwin' and sys.version_info[:2] < (3, 11),
+        reason='Tk version mismatch on Azure macOS CI'
+    )
+    @functools.wraps(func)
+    def test_func():
+        # even if the package exists, may not actually be importable this can
+        # be the case on some CI systems.
+        pytest.importorskip('tkinter')
+        try:
+            proc = subprocess_run_helper(
+                func, timeout=_test_timeout, extra_env=dict(
+                    MPLBACKEND="TkAgg", MPL_TEST_ESCAPE_HATCH="1"))
+        except subprocess.TimeoutExpired:
+            pytest.fail("Subprocess timed out")
+        except subprocess.CalledProcessError as e:
+            pytest.fail("Subprocess failed to test intended behavior\n"
+                        + str(e.stderr))
+        else:
+            # macOS may actually emit irrelevant errors about Accelerated
+            # OpenGL vs. software OpenGL, or some permission error on Azure, so
+            # suppress them.
+            # Asserting stderr first (and printing it on failure) should be
+            # more helpful for debugging that printing a failed success count.
+            ignored_lines = ["OpenGL", "CFMessagePort: bootstrap_register",
+                             "/usr/include/servers/bootstrap_defs.h"]
+            assert not [line for line in proc.stderr.splitlines()
+                        if all(msg not in line for msg in ignored_lines)]
+            assert proc.stdout.count("success") == success_count
+
+    return test_func
+
+
+@_isolated_tk_test(success_count=6)  # len(bad_boxes)
+def test_blit():
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import matplotlib.backends.backend_tkagg  # noqa
+    from matplotlib.backends import _backend_tk, _tkagg
+
+    fig, ax = plt.subplots()
+    photoimage = fig.canvas._tkphoto
+    data = np.ones((4, 4, 4), dtype=np.uint8)
+    # Test out of bounds blitting.
+    bad_boxes = ((-1, 2, 0, 2),
+                 (2, 0, 0, 2),
+                 (1, 6, 0, 2),
+                 (0, 2, -1, 2),
+                 (0, 2, 2, 0),
+                 (0, 2, 1, 6))
+    for bad_box in bad_boxes:
+        try:
+            _tkagg.blit(
+                photoimage.tk.interpaddr(), str(photoimage), data,
+                _tkagg.TK_PHOTO_COMPOSITE_OVERLAY, (0, 1, 2, 3), bad_box)
+        except ValueError:
+            print("success")
+
+    # Test blitting to a destroyed canvas.
+    plt.close(fig)
+    _backend_tk.blit(photoimage, data, (0, 1, 2, 3))
+
+
+@_isolated_tk_test(success_count=1)
+def test_figuremanager_preserves_host_mainloop():
+    import tkinter
+    import matplotlib.pyplot as plt
+    success = []
+
+    def do_plot():
+        plt.figure()
+        plt.plot([1, 2], [3, 5])
+        plt.close()
+        root.after(0, legitimate_quit)
+
+    def legitimate_quit():
+        root.quit()
+        success.append(True)
+
+    root = tkinter.Tk()
+    root.after(0, do_plot)
+    root.mainloop()
+
+    if success:
+        print("success")
+
+
+@pytest.mark.skipif(platform.python_implementation() != 'CPython',
+                    reason='PyPy does not support Tkinter threading: '
+                           'https://foss.heptapod.net/pypy/pypy/-/issues/1929')
+@pytest.mark.flaky(reruns=3)
+@_isolated_tk_test(success_count=1)
+def test_figuremanager_cleans_own_mainloop():
+    import tkinter
+    import time
+    import matplotlib.pyplot as plt
+    import threading
+    from matplotlib.cbook import _get_running_interactive_framework
+
+    root = tkinter.Tk()
+    plt.plot([1, 2, 3], [1, 2, 5])
+
+    def target():
+        while not 'tk' == _get_running_interactive_framework():
+            time.sleep(.01)
+        plt.close()
+        if show_finished_event.wait():
+            print('success')
+
+    show_finished_event = threading.Event()
+    thread = threading.Thread(target=target, daemon=True)
+    thread.start()
+    plt.show(block=True)  # Testing if this function hangs.
+    show_finished_event.set()
+    thread.join()
+
+
+@pytest.mark.flaky(reruns=3)
+@_isolated_tk_test(success_count=0)
+def test_never_update():
+    import tkinter
+    del tkinter.Misc.update
+    del tkinter.Misc.update_idletasks
+
+    import matplotlib.pyplot as plt
+    fig = plt.figure()
+    plt.show(block=False)
+
+    plt.draw()  # Test FigureCanvasTkAgg.
+    tool = fig.canvas.toolbar.configure_subplots()  # Test NavigationToolbar2Tk.
+    assert tool is not None
+    assert tool == fig.canvas.toolbar.configure_subplots()  # Tool is reused internally.
+    # Test FigureCanvasTk filter_destroy callback
+    fig.canvas.get_tk_widget().after(100, plt.close, fig)
+
+    # Check for update() or update_idletasks() in the event queue, functionally
+    # equivalent to tkinter.Misc.update.
+    plt.show(block=True)
+
+    # Note that exceptions would be printed to stderr; _isolated_tk_test
+    # checks them.
+
+
+@_isolated_tk_test(success_count=2)
+def test_missing_back_button():
+    import matplotlib.pyplot as plt
+    from matplotlib.backends.backend_tkagg import NavigationToolbar2Tk
+
+    class Toolbar(NavigationToolbar2Tk):
+        # Only display the buttons we need.
+        toolitems = [t for t in NavigationToolbar2Tk.toolitems if
+                     t[0] in ('Home', 'Pan', 'Zoom')]
+
+    fig = plt.figure()
+    print("success")
+    Toolbar(fig.canvas, fig.canvas.manager.window)  # This should not raise.
+    print("success")
+
+
+@_isolated_tk_test(success_count=2)
+def test_save_figure_return():
+    import matplotlib.pyplot as plt
+    from unittest import mock
+    fig = plt.figure()
+    prop = "tkinter.filedialog.asksaveasfilename"
+    with mock.patch(prop, return_value="foobar.png"):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        os.remove("foobar.png")
+        assert fname == "foobar.png"
+        print("success")
+    with mock.patch(prop, return_value=""):
+        fname = fig.canvas.manager.toolbar.save_figure()
+        assert fname is None
+        print("success")
+
+
+@_isolated_tk_test(success_count=1)
+def test_canvas_focus():
+    import tkinter as tk
+    import matplotlib.pyplot as plt
+    success = []
+
+    def check_focus():
+        tkcanvas = fig.canvas.get_tk_widget()
+        # Give the plot window time to appear
+        if not tkcanvas.winfo_viewable():
+            tkcanvas.wait_visibility()
+        # Make sure the canvas has the focus, so that it's able to receive
+        # keyboard events.
+        if tkcanvas.focus_lastfor() == tkcanvas:
+            success.append(True)
+        plt.close()
+        root.destroy()
+
+    root = tk.Tk()
+    fig = plt.figure()
+    plt.plot([1, 2, 3])
+    root.after(0, plt.show)
+    root.after(100, check_focus)
+    root.mainloop()
+
+    if success:
+        print("success")
+
+
+@_isolated_tk_test(success_count=2)
+def test_embedding():
+    import tkinter as tk
+    from matplotlib.backends.backend_tkagg import (
+        FigureCanvasTkAgg, NavigationToolbar2Tk)
+    from matplotlib.backend_bases import key_press_handler
+    from matplotlib.figure import Figure
+
+    root = tk.Tk()
+
+    def test_figure(master):
+        fig = Figure()
+        ax = fig.add_subplot()
+        ax.plot([1, 2, 3])
+
+        canvas = FigureCanvasTkAgg(fig, master=master)
+        canvas.draw()
+        canvas.mpl_connect("key_press_event", key_press_handler)
+        canvas.get_tk_widget().pack(expand=True, fill="both")
+
+        toolbar = NavigationToolbar2Tk(canvas, master, pack_toolbar=False)
+        toolbar.pack(expand=True, fill="x")
+
+        canvas.get_tk_widget().forget()
+        toolbar.forget()
+
+    test_figure(root)
+    print("success")
+
+    # Test with a dark button color. Doesn't actually check whether the icon
+    # color becomes lighter, just that the code doesn't break.
+
+    root.tk_setPalette(background="sky blue", selectColor="midnight blue",
+                       foreground="white")
+    test_figure(root)
+    print("success")
diff --git a/lib/matplotlib/tests/test_backend_tools.py b/lib/matplotlib/tests/test_backend_tools.py
new file mode 100644
index 000000000000..cc05a1a98f78
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_tools.py
@@ -0,0 +1,20 @@
+import pytest
+
+from matplotlib.backend_tools import ToolHelpBase
+
+
+@pytest.mark.parametrize('rc_shortcut,expected', [
+    ('home', 'Home'),
+    ('backspace', 'Backspace'),
+    ('f1', 'F1'),
+    ('ctrl+a', 'Ctrl+A'),
+    ('ctrl+A', 'Ctrl+Shift+A'),
+    ('a', 'a'),
+    ('A', 'A'),
+    ('ctrl+shift+f1', 'Ctrl+Shift+F1'),
+    ('1', '1'),
+    ('cmd+p', 'Cmd+P'),
+    ('cmd+1', 'Cmd+1'),
+])
+def test_format_shortcut(rc_shortcut, expected):
+    assert ToolHelpBase.format_shortcut(rc_shortcut) == expected
diff --git a/lib/matplotlib/tests/test_backend_webagg.py b/lib/matplotlib/tests/test_backend_webagg.py
new file mode 100644
index 000000000000..1d6769494ef9
--- /dev/null
+++ b/lib/matplotlib/tests/test_backend_webagg.py
@@ -0,0 +1,32 @@
+import os
+import sys
+import pytest
+
+import matplotlib.backends.backend_webagg_core
+from matplotlib.testing import subprocess_run_for_testing
+
+
+@pytest.mark.parametrize("backend", ["webagg", "nbagg"])
+def test_webagg_fallback(backend):
+    pytest.importorskip("tornado")
+    if backend == "nbagg":
+        pytest.importorskip("IPython")
+    env = dict(os.environ)
+    if sys.platform != "win32":
+        env["DISPLAY"] = ""
+
+    env["MPLBACKEND"] = backend
+
+    test_code = (
+        "import os;"
+        + f"assert os.environ['MPLBACKEND'] == '{backend}';"
+        + "import matplotlib.pyplot as plt; "
+        + "print(plt.get_backend());"
+        f"assert '{backend}' == plt.get_backend().lower();"
+    )
+    subprocess_run_for_testing([sys.executable, "-c", test_code], env=env, check=True)
+
+
+def test_webagg_core_no_toolbar():
+    fm = matplotlib.backends.backend_webagg_core.FigureManagerWebAgg
+    assert fm._toolbar2_class is None
diff --git a/lib/matplotlib/tests/test_backends_interactive.py b/lib/matplotlib/tests/test_backends_interactive.py
new file mode 100644
index 000000000000..a27783fa4be1
--- /dev/null
+++ b/lib/matplotlib/tests/test_backends_interactive.py
@@ -0,0 +1,809 @@
+import functools
+import importlib
+import importlib.util
+import inspect
+import json
+import os
+import platform
+import signal
+import subprocess
+import sys
+import tempfile
+import time
+import urllib.request
+
+from PIL import Image
+
+import pytest
+
+import matplotlib as mpl
+from matplotlib import _c_internal_utils
+from matplotlib.backend_tools import ToolToggleBase
+from matplotlib.testing import subprocess_run_helper as _run_helper, is_ci_environment
+
+
+class _WaitForStringPopen(subprocess.Popen):
+    """
+    A Popen that passes flags that allow triggering KeyboardInterrupt.
+    """
+
+    def __init__(self, *args, **kwargs):
+        if sys.platform == 'win32':
+            kwargs['creationflags'] = subprocess.CREATE_NEW_CONSOLE
+        super().__init__(
+            *args, **kwargs,
+            # Force Agg so that each test can switch to its desired backend.
+            env={**os.environ, "MPLBACKEND": "Agg", "SOURCE_DATE_EPOCH": "0"},
+            stdout=subprocess.PIPE, universal_newlines=True)
+
+    def wait_for(self, terminator):
+        """Read until the terminator is reached."""
+        buf = ''
+        while True:
+            c = self.stdout.read(1)
+            if not c:
+                raise RuntimeError(
+                    f'Subprocess died before emitting expected {terminator!r}')
+            buf += c
+            if buf.endswith(terminator):
+                return
+
+
+# Minimal smoke-testing of the backends for which the dependencies are
+# PyPI-installable on CI.  They are not available for all tested Python
+# versions so we don't fail on missing backends.
+
+@functools.lru_cache
+def _get_available_interactive_backends():
+    _is_linux_and_display_invalid = (sys.platform == "linux" and
+                                     not _c_internal_utils.display_is_valid())
+    _is_linux_and_xdisplay_invalid = (sys.platform == "linux" and
+                                      not _c_internal_utils.xdisplay_is_valid())
+    envs = []
+    for deps, env in [
+            *[([qt_api],
+               {"MPLBACKEND": "qtagg", "QT_API": qt_api})
+              for qt_api in ["PyQt6", "PySide6", "PyQt5", "PySide2"]],
+            *[([qt_api, "cairocffi"],
+               {"MPLBACKEND": "qtcairo", "QT_API": qt_api})
+              for qt_api in ["PyQt6", "PySide6", "PyQt5", "PySide2"]],
+            *[(["cairo", "gi"], {"MPLBACKEND": f"gtk{version}{renderer}"})
+              for version in [3, 4] for renderer in ["agg", "cairo"]],
+            (["tkinter"], {"MPLBACKEND": "tkagg"}),
+            (["wx"], {"MPLBACKEND": "wx"}),
+            (["wx"], {"MPLBACKEND": "wxagg"}),
+            (["matplotlib.backends._macosx"], {"MPLBACKEND": "macosx"}),
+    ]:
+        reason = None
+        missing = [dep for dep in deps if not importlib.util.find_spec(dep)]
+        if missing:
+            reason = "{} cannot be imported".format(", ".join(missing))
+        elif _is_linux_and_xdisplay_invalid and (
+                env["MPLBACKEND"] == "tkagg"
+                # Remove when https://github.com/wxWidgets/Phoenix/pull/2638 is out.
+                or env["MPLBACKEND"].startswith("wx")):
+            reason = "$DISPLAY is unset"
+        elif _is_linux_and_display_invalid:
+            reason = "$DISPLAY and $WAYLAND_DISPLAY are unset"
+        elif env["MPLBACKEND"] == 'macosx' and os.environ.get('TF_BUILD'):
+            reason = "macosx backend fails on Azure"
+        elif env["MPLBACKEND"].startswith('gtk'):
+            try:
+                import gi  # type: ignore[import]
+            except ImportError:
+                # Though we check that `gi` exists above, it is possible that its
+                # C-level dependencies are not available, and then it still raises an
+                # `ImportError`, so guard against that.
+                available_gtk_versions = []
+            else:
+                gi_repo = gi.Repository.get_default()
+                available_gtk_versions = gi_repo.enumerate_versions('Gtk')
+            version = env["MPLBACKEND"][3]
+            if f'{version}.0' not in available_gtk_versions:
+                reason = "no usable GTK bindings"
+        marks = []
+        if reason:
+            marks.append(pytest.mark.skip(reason=f"Skipping {env} because {reason}"))
+        elif env["MPLBACKEND"].startswith('wx') and sys.platform == 'darwin':
+            # ignore on macosx because that's currently broken (github #16849)
+            marks.append(pytest.mark.xfail(reason='github #16849'))
+        elif (env['MPLBACKEND'] == 'tkagg' and
+              ('TF_BUILD' in os.environ or 'GITHUB_ACTION' in os.environ) and
+              sys.platform == 'darwin' and
+              sys.version_info[:2] < (3, 11)
+              ):
+            marks.append(  # https://github.com/actions/setup-python/issues/649
+                pytest.mark.xfail(reason='Tk version mismatch on Azure macOS CI'))
+        envs.append(({**env, 'BACKEND_DEPS': ','.join(deps)}, marks))
+    return envs
+
+
+def _get_testable_interactive_backends():
+    # We re-create this because some of the callers below might modify the markers.
+    return [pytest.param({**env}, marks=[*marks],
+                         id='-'.join(f'{k}={v}' for k, v in env.items()))
+            for env, marks in _get_available_interactive_backends()]
+
+
+# Reasonable safe values for slower CI/Remote and local architectures.
+_test_timeout = 120 if is_ci_environment() else 20
+
+
+def _test_toolbar_button_la_mode_icon(fig):
+    # test a toolbar button icon using an image in LA mode (GH issue 25174)
+    # create an icon in LA mode
+    with tempfile.TemporaryDirectory() as tempdir:
+        img = Image.new("LA", (26, 26))
+        tmp_img_path = os.path.join(tempdir, "test_la_icon.png")
+        img.save(tmp_img_path)
+
+        class CustomTool(ToolToggleBase):
+            image = tmp_img_path
+            description = ""  # gtk3 backend does not allow None
+
+        toolmanager = fig.canvas.manager.toolmanager
+        toolbar = fig.canvas.manager.toolbar
+        toolmanager.add_tool("test", CustomTool)
+        toolbar.add_tool("test", "group")
+
+
+# The source of this function gets extracted and run in another process, so it
+# must be fully self-contained.
+# Using a timer not only allows testing of timers (on other backends), but is
+# also necessary on gtk3 and wx, where directly processing a KeyEvent() for "q"
+# from draw_event causes breakage as the canvas widget gets deleted too early.
+def _test_interactive_impl():
+    import importlib.util
+    import io
+    import json
+    import sys
+
+    import pytest
+
+    import matplotlib as mpl
+    from matplotlib import pyplot as plt
+    from matplotlib.backend_bases import KeyEvent
+    mpl.rcParams.update({
+        "webagg.open_in_browser": False,
+        "webagg.port_retries": 1,
+    })
+
+    mpl.rcParams.update(json.loads(sys.argv[1]))
+    backend = plt.rcParams["backend"].lower()
+
+    if backend.endswith("agg") and not backend.startswith(("gtk", "web")):
+        # Force interactive framework setup.
+        fig = plt.figure()
+        plt.close(fig)
+
+        # Check that we cannot switch to a backend using another interactive
+        # framework, but can switch to a backend using cairo instead of agg,
+        # or a non-interactive backend.  In the first case, we use tkagg as
+        # the "other" interactive backend as it is (essentially) guaranteed
+        # to be present.  Moreover, don't test switching away from gtk3 (as
+        # Gtk.main_level() is not set up at this point yet) and webagg (which
+        # uses no interactive framework).
+
+        if backend != "tkagg":
+            with pytest.raises(ImportError):
+                mpl.use("tkagg", force=True)
+
+        def check_alt_backend(alt_backend):
+            mpl.use(alt_backend, force=True)
+            fig = plt.figure()
+            assert (type(fig.canvas).__module__ ==
+                    f"matplotlib.backends.backend_{alt_backend}")
+            plt.close("all")
+
+        if importlib.util.find_spec("cairocffi"):
+            check_alt_backend(backend[:-3] + "cairo")
+        check_alt_backend("svg")
+    mpl.use(backend, force=True)
+
+    fig, ax = plt.subplots()
+    assert type(fig.canvas).__module__ == f"matplotlib.backends.backend_{backend}"
+
+    assert fig.canvas.manager.get_window_title() == "Figure 1"
+
+    if mpl.rcParams["toolbar"] == "toolmanager":
+        # test toolbar button icon LA mode see GH issue 25174
+        _test_toolbar_button_la_mode_icon(fig)
+
+    ax.plot([0, 1], [2, 3])
+    if fig.canvas.toolbar:  # i.e toolbar2.
+        fig.canvas.toolbar.draw_rubberband(None, 1., 1, 2., 2)
+
+    timer = fig.canvas.new_timer(1.)  # Test that floats are cast to int.
+    timer.add_callback(KeyEvent("key_press_event", fig.canvas, "q")._process)
+    # Trigger quitting upon draw.
+    fig.canvas.mpl_connect("draw_event", lambda event: timer.start())
+    fig.canvas.mpl_connect("close_event", print)
+
+    result = io.BytesIO()
+    fig.savefig(result, format='png')
+
+    plt.show()
+
+    # Ensure that the window is really closed.
+    plt.pause(0.5)
+
+    # Test that saving works after interactive window is closed, but the figure
+    # is not deleted.
+    result_after = io.BytesIO()
+    fig.savefig(result_after, format='png')
+
+    assert result.getvalue() == result_after.getvalue()
+
+
+@pytest.mark.parametrize("env", _get_testable_interactive_backends())
+@pytest.mark.parametrize("toolbar", ["toolbar2", "toolmanager"])
+@pytest.mark.flaky(reruns=3)
+def test_interactive_backend(env, toolbar):
+    if env["MPLBACKEND"] == "macosx":
+        if toolbar == "toolmanager":
+            pytest.skip("toolmanager is not implemented for macosx.")
+    if env["MPLBACKEND"] == "wx":
+        pytest.skip("wx backend is deprecated; tests failed on appveyor")
+    if env["MPLBACKEND"] == "wxagg" and toolbar == "toolmanager":
+        pytest.skip("Temporarily deactivated: show() changes figure height "
+                    "and thus fails the test")
+    try:
+        proc = _run_helper(
+            _test_interactive_impl,
+            json.dumps({"toolbar": toolbar}),
+            timeout=_test_timeout,
+            extra_env=env,
+        )
+    except subprocess.CalledProcessError as err:
+        pytest.fail(
+            "Subprocess failed to test intended behavior\n"
+            + str(err.stderr))
+    assert proc.stdout.count("CloseEvent") == 1
+
+
+def _test_thread_impl():
+    from concurrent.futures import ThreadPoolExecutor
+
+    import matplotlib as mpl
+    from matplotlib import pyplot as plt
+
+    mpl.rcParams.update({
+        "webagg.open_in_browser": False,
+        "webagg.port_retries": 1,
+    })
+
+    # Test artist creation and drawing does not crash from thread
+    # No other guarantees!
+    fig, ax = plt.subplots()
+    # plt.pause needed vs plt.show(block=False) at least on toolbar2-tkagg
+    plt.pause(0.5)
+
+    future = ThreadPoolExecutor().submit(ax.plot, [1, 3, 6])
+    future.result()  # Joins the thread; rethrows any exception.
+
+    fig.canvas.mpl_connect("close_event", print)
+    future = ThreadPoolExecutor().submit(fig.canvas.draw)
+    plt.pause(0.5)  # flush_events fails here on at least Tkagg (bpo-41176)
+    future.result()  # Joins the thread; rethrows any exception.
+    plt.close()  # backend is responsible for flushing any events here
+    if plt.rcParams["backend"].lower().startswith("wx"):
+        # TODO: debug why WX needs this only on py >= 3.8
+        fig.canvas.flush_events()
+
+
+_thread_safe_backends = _get_testable_interactive_backends()
+# Known unsafe backends. Remove the xfails if they start to pass!
+for param in _thread_safe_backends:
+    backend = param.values[0]["MPLBACKEND"]
+    if "cairo" in backend:
+        # Cairo backends save a cairo_t on the graphics context, and sharing
+        # these is not threadsafe.
+        param.marks.append(
+            pytest.mark.xfail(raises=subprocess.CalledProcessError))
+    elif backend == "wx":
+        param.marks.append(
+            pytest.mark.xfail(raises=subprocess.CalledProcessError))
+    elif backend == "macosx":
+        from packaging.version import parse
+        mac_ver = platform.mac_ver()[0]
+        # Note, macOS Big Sur is both 11 and 10.16, depending on SDK that
+        # Python was compiled against.
+        if mac_ver and parse(mac_ver) < parse('10.16'):
+            param.marks.append(
+                pytest.mark.xfail(raises=subprocess.TimeoutExpired,
+                                  strict=True))
+    elif param.values[0].get("QT_API") == "PySide2":
+        param.marks.append(
+            pytest.mark.xfail(raises=subprocess.CalledProcessError))
+    elif backend == "tkagg" and platform.python_implementation() != 'CPython':
+        param.marks.append(
+            pytest.mark.xfail(
+                reason='PyPy does not support Tkinter threading: '
+                       'https://foss.heptapod.net/pypy/pypy/-/issues/1929',
+                strict=True))
+    elif (backend == 'tkagg' and
+          ('TF_BUILD' in os.environ or 'GITHUB_ACTION' in os.environ) and
+          sys.platform == 'darwin' and sys.version_info[:2] < (3, 11)):
+        param.marks.append(  # https://github.com/actions/setup-python/issues/649
+            pytest.mark.xfail('Tk version mismatch on Azure macOS CI'))
+
+
+@pytest.mark.parametrize("env", _thread_safe_backends)
+@pytest.mark.flaky(reruns=3)
+def test_interactive_thread_safety(env):
+    proc = _run_helper(_test_thread_impl, timeout=_test_timeout, extra_env=env)
+    assert proc.stdout.count("CloseEvent") == 1
+
+
+def _impl_test_lazy_auto_backend_selection():
+    import matplotlib
+    import matplotlib.pyplot as plt
+    # just importing pyplot should not be enough to trigger resolution
+    bk = matplotlib.rcParams._get('backend')
+    assert not isinstance(bk, str)
+    assert plt._backend_mod is None
+    # but actually plotting should
+    plt.plot(5)
+    assert plt._backend_mod is not None
+    bk = matplotlib.rcParams._get('backend')
+    assert isinstance(bk, str)
+
+
+def test_lazy_auto_backend_selection():
+    _run_helper(_impl_test_lazy_auto_backend_selection,
+                timeout=_test_timeout)
+
+
+def _implqt5agg():
+    import matplotlib.backends.backend_qt5agg  # noqa
+    import sys
+
+    assert 'PyQt6' not in sys.modules
+    assert 'pyside6' not in sys.modules
+    assert 'PyQt5' in sys.modules or 'pyside2' in sys.modules
+
+
+def _implcairo():
+    import matplotlib.backends.backend_qt5cairo  # noqa
+    import sys
+
+    assert 'PyQt6' not in sys.modules
+    assert 'pyside6' not in sys.modules
+    assert 'PyQt5' in sys.modules or 'pyside2' in sys.modules
+
+
+def _implcore():
+    import matplotlib.backends.backend_qt5  # noqa
+    import sys
+
+    assert 'PyQt6' not in sys.modules
+    assert 'pyside6' not in sys.modules
+    assert 'PyQt5' in sys.modules or 'pyside2' in sys.modules
+
+
+def test_qt5backends_uses_qt5():
+    qt5_bindings = [
+        dep for dep in ['PyQt5', 'pyside2']
+        if importlib.util.find_spec(dep) is not None
+    ]
+    qt6_bindings = [
+        dep for dep in ['PyQt6', 'pyside6']
+        if importlib.util.find_spec(dep) is not None
+    ]
+    if len(qt5_bindings) == 0 or len(qt6_bindings) == 0:
+        pytest.skip('need both QT6 and QT5 bindings')
+    _run_helper(_implqt5agg, timeout=_test_timeout)
+    if importlib.util.find_spec('pycairo') is not None:
+        _run_helper(_implcairo, timeout=_test_timeout)
+    _run_helper(_implcore, timeout=_test_timeout)
+
+
+def _impl_missing():
+    import sys
+    # Simulate uninstalled
+    sys.modules["PyQt6"] = None
+    sys.modules["PyQt5"] = None
+    sys.modules["PySide2"] = None
+    sys.modules["PySide6"] = None
+
+    import matplotlib.pyplot as plt
+    with pytest.raises(ImportError, match="Failed to import any of the following Qt"):
+        plt.switch_backend("qtagg")
+    # Specifically ensure that Pyside6/Pyqt6 are not in the error message for qt5agg
+    with pytest.raises(ImportError, match="^(?:(?!(PySide6|PyQt6)).)*$"):
+        plt.switch_backend("qt5agg")
+
+
+def test_qt_missing():
+    _run_helper(_impl_missing, timeout=_test_timeout)
+
+
+def _impl_test_cross_Qt_imports():
+    import importlib
+    import sys
+    import warnings
+
+    _, host_binding, mpl_binding = sys.argv
+    # import the mpl binding.  This will force us to use that binding
+    importlib.import_module(f'{mpl_binding}.QtCore')
+    mpl_binding_qwidgets = importlib.import_module(f'{mpl_binding}.QtWidgets')
+    import matplotlib.backends.backend_qt
+    host_qwidgets = importlib.import_module(f'{host_binding}.QtWidgets')
+
+    host_app = host_qwidgets.QApplication(["mpl testing"])
+    warnings.filterwarnings("error", message=r".*Mixing Qt major.*",
+                            category=UserWarning)
+    matplotlib.backends.backend_qt._create_qApp()
+
+
+def qt5_and_qt6_pairs():
+    qt5_bindings = [
+        dep for dep in ['PyQt5', 'PySide2']
+        if importlib.util.find_spec(dep) is not None
+    ]
+    qt6_bindings = [
+        dep for dep in ['PyQt6', 'PySide6']
+        if importlib.util.find_spec(dep) is not None
+    ]
+    if len(qt5_bindings) == 0 or len(qt6_bindings) == 0:
+        yield pytest.param(None, None,
+                           marks=[pytest.mark.skip('need both QT6 and QT5 bindings')])
+        return
+
+    for qt5 in qt5_bindings:
+        for qt6 in qt6_bindings:
+            yield from ([qt5, qt6], [qt6, qt5])
+
+
+@pytest.mark.skipif(
+    sys.platform == "linux" and not _c_internal_utils.display_is_valid(),
+    reason="$DISPLAY and $WAYLAND_DISPLAY are unset")
+@pytest.mark.parametrize('host, mpl', [*qt5_and_qt6_pairs()])
+def test_cross_Qt_imports(host, mpl):
+    try:
+        proc = _run_helper(_impl_test_cross_Qt_imports, host, mpl,
+                           timeout=_test_timeout)
+    except subprocess.CalledProcessError as ex:
+        # We do try to warn the user they are doing something that we do not
+        # expect to work, so we're going to ignore if the subprocess crashes or
+        # is killed, and just check that the warning is printed.
+        stderr = ex.stderr
+    else:
+        stderr = proc.stderr
+    assert "Mixing Qt major versions may not work as expected." in stderr
+
+
+@pytest.mark.skipif('TF_BUILD' in os.environ,
+                    reason="this test fails an azure for unknown reasons")
+@pytest.mark.skipif(sys.platform == "win32", reason="Cannot send SIGINT on Windows.")
+def test_webagg():
+    pytest.importorskip("tornado")
+    proc = subprocess.Popen(
+        [sys.executable, "-c",
+         inspect.getsource(_test_interactive_impl)
+         + "\n_test_interactive_impl()", "{}"],
+        env={**os.environ, "MPLBACKEND": "webagg", "SOURCE_DATE_EPOCH": "0"})
+    url = f'http://{mpl.rcParams["webagg.address"]}:{mpl.rcParams["webagg.port"]}'
+    timeout = time.perf_counter() + _test_timeout
+    try:
+        while True:
+            try:
+                retcode = proc.poll()
+                # check that the subprocess for the server is not dead
+                assert retcode is None
+                conn = urllib.request.urlopen(url)
+                break
+            except urllib.error.URLError:
+                if time.perf_counter() > timeout:
+                    pytest.fail("Failed to connect to the webagg server.")
+                else:
+                    continue
+        conn.close()
+        proc.send_signal(signal.SIGINT)
+        assert proc.wait(timeout=_test_timeout) == 0
+    finally:
+        if proc.poll() is None:
+            proc.kill()
+
+
+def _lazy_headless():
+    import os
+    import sys
+
+    backend, deps = sys.argv[1:]
+    deps = deps.split(',')
+
+    # make it look headless
+    os.environ.pop('DISPLAY', None)
+    os.environ.pop('WAYLAND_DISPLAY', None)
+    for dep in deps:
+        assert dep not in sys.modules
+
+    # we should fast-track to Agg
+    import matplotlib.pyplot as plt
+    assert plt.get_backend() == 'agg'
+    for dep in deps:
+        assert dep not in sys.modules
+
+    # make sure we really have dependencies installed
+    for dep in deps:
+        importlib.import_module(dep)
+        assert dep in sys.modules
+
+    # try to switch and make sure we fail with ImportError
+    try:
+        plt.switch_backend(backend)
+    except ImportError:
+        pass
+    else:
+        sys.exit(1)
+
+
+@pytest.mark.skipif(sys.platform != "linux", reason="this a linux-only test")
+@pytest.mark.parametrize("env", _get_testable_interactive_backends())
+def test_lazy_linux_headless(env):
+    proc = _run_helper(
+        _lazy_headless,
+        env.pop('MPLBACKEND'), env.pop("BACKEND_DEPS"),
+        timeout=_test_timeout,
+        extra_env={**env, 'DISPLAY': '', 'WAYLAND_DISPLAY': ''}
+    )
+
+
+def _test_number_of_draws_script():
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+
+    # animated=True tells matplotlib to only draw the artist when we
+    # explicitly request it
+    ln, = ax.plot([0, 1], [1, 2], animated=True)
+
+    # make sure the window is raised, but the script keeps going
+    plt.show(block=False)
+    plt.pause(0.3)
+    # Connect to draw_event to count the occurrences
+    fig.canvas.mpl_connect('draw_event', print)
+
+    # get copy of entire figure (everything inside fig.bbox)
+    # sans animated artist
+    bg = fig.canvas.copy_from_bbox(fig.bbox)
+    # draw the animated artist, this uses a cached renderer
+    ax.draw_artist(ln)
+    # show the result to the screen
+    fig.canvas.blit(fig.bbox)
+
+    for j in range(10):
+        # reset the background back in the canvas state, screen unchanged
+        fig.canvas.restore_region(bg)
+        # Create a **new** artist here, this is poor usage of blitting
+        # but good for testing to make sure that this doesn't create
+        # excessive draws
+        ln, = ax.plot([0, 1], [1, 2])
+        # render the artist, updating the canvas state, but not the screen
+        ax.draw_artist(ln)
+        # copy the image to the GUI state, but screen might not changed yet
+        fig.canvas.blit(fig.bbox)
+        # flush any pending GUI events, re-painting the screen if needed
+        fig.canvas.flush_events()
+
+    # Let the event loop process everything before leaving
+    plt.pause(0.1)
+
+
+_blit_backends = _get_testable_interactive_backends()
+for param in _blit_backends:
+    backend = param.values[0]["MPLBACKEND"]
+    if backend == "gtk3cairo":
+        # copy_from_bbox only works when rendering to an ImageSurface
+        param.marks.append(
+            pytest.mark.skip("gtk3cairo does not support blitting"))
+    elif backend == "gtk4cairo":
+        # copy_from_bbox only works when rendering to an ImageSurface
+        param.marks.append(
+            pytest.mark.skip("gtk4cairo does not support blitting"))
+    elif backend == "wx":
+        param.marks.append(
+            pytest.mark.skip("wx does not support blitting"))
+    elif (backend == 'tkagg' and
+          ('TF_BUILD' in os.environ or 'GITHUB_ACTION' in os.environ) and
+          sys.platform == 'darwin' and
+          sys.version_info[:2] < (3, 11)
+          ):
+        param.marks.append(  # https://github.com/actions/setup-python/issues/649
+            pytest.mark.xfail('Tk version mismatch on Azure macOS CI')
+        )
+
+
+@pytest.mark.parametrize("env", _blit_backends)
+# subprocesses can struggle to get the display, so rerun a few times
+@pytest.mark.flaky(reruns=4)
+def test_blitting_events(env):
+    proc = _run_helper(
+        _test_number_of_draws_script, timeout=_test_timeout, extra_env=env)
+    # Count the number of draw_events we got. We could count some initial
+    # canvas draws (which vary in number by backend), but the critical
+    # check here is that it isn't 10 draws, which would be called if
+    # blitting is not properly implemented
+    ndraws = proc.stdout.count("DrawEvent")
+    assert 0 < ndraws < 5
+
+
+def _fallback_check():
+    import IPython.core.interactiveshell as ipsh
+    import matplotlib.pyplot
+    ipsh.InteractiveShell.instance()
+    matplotlib.pyplot.figure()
+
+
+def test_fallback_to_different_backend():
+    pytest.importorskip("IPython")
+    # Runs the process that caused the GH issue 23770
+    # making sure that this doesn't crash
+    # since we're supposed to be switching to a different backend instead.
+    response = _run_helper(_fallback_check, timeout=_test_timeout)
+
+
+def _impl_test_interactive_timers():
+    # A timer with <1 millisecond gets converted to int and therefore 0
+    # milliseconds, which the mac framework interprets as singleshot.
+    # We only want singleshot if we specify that ourselves, otherwise we want
+    # a repeating timer
+    import os
+    from unittest.mock import Mock
+    import matplotlib.pyplot as plt
+    # increase pause duration on CI to let things spin up
+    # particularly relevant for gtk3cairo
+    pause_time = 2 if os.getenv("CI") else 0.5
+    fig = plt.figure()
+    plt.pause(pause_time)
+    timer = fig.canvas.new_timer(0.1)
+    mock = Mock()
+    timer.add_callback(mock)
+    timer.start()
+    plt.pause(pause_time)
+    timer.stop()
+    assert mock.call_count > 1
+
+    # Now turn it into a single shot timer and verify only one gets triggered
+    mock.call_count = 0
+    timer.single_shot = True
+    timer.start()
+    plt.pause(pause_time)
+    assert mock.call_count == 1
+
+    # Make sure we can start the timer a second time
+    timer.start()
+    plt.pause(pause_time)
+    assert mock.call_count == 2
+    plt.close("all")
+
+
+@pytest.mark.parametrize("env", _get_testable_interactive_backends())
+def test_interactive_timers(env):
+    if env["MPLBACKEND"] == "gtk3cairo" and os.getenv("CI"):
+        pytest.skip("gtk3cairo timers do not work in remote CI")
+    if env["MPLBACKEND"] == "wx":
+        pytest.skip("wx backend is deprecated; tests failed on appveyor")
+    _run_helper(_impl_test_interactive_timers,
+                timeout=_test_timeout, extra_env=env)
+
+
+def _test_sigint_impl(backend, target_name, kwargs):
+    import sys
+    import matplotlib.pyplot as plt
+    import os
+    import threading
+
+    plt.switch_backend(backend)
+
+    def interrupter():
+        if sys.platform == 'win32':
+            import win32api
+            win32api.GenerateConsoleCtrlEvent(0, 0)
+        else:
+            import signal
+            os.kill(os.getpid(), signal.SIGINT)
+
+    target = getattr(plt, target_name)
+    timer = threading.Timer(1, interrupter)
+    fig = plt.figure()
+    fig.canvas.mpl_connect(
+        'draw_event',
+        lambda *args: print('DRAW', flush=True)
+    )
+    fig.canvas.mpl_connect(
+        'draw_event',
+        lambda *args: timer.start()
+    )
+    try:
+        target(**kwargs)
+    except KeyboardInterrupt:
+        print('SUCCESS', flush=True)
+
+
+@pytest.mark.parametrize("env", _get_testable_interactive_backends())
+@pytest.mark.parametrize("target, kwargs", [
+    ('show', {'block': True}),
+    ('pause', {'interval': 10})
+])
+def test_sigint(env, target, kwargs):
+    backend = env.get("MPLBACKEND")
+    if not backend.startswith(("qt", "macosx")):
+        pytest.skip("SIGINT currently only tested on qt and macosx")
+    proc = _WaitForStringPopen(
+        [sys.executable, "-c",
+         inspect.getsource(_test_sigint_impl) +
+         f"\n_test_sigint_impl({backend!r}, {target!r}, {kwargs!r})"])
+    try:
+        proc.wait_for('DRAW')
+        stdout, _ = proc.communicate(timeout=_test_timeout)
+    except Exception:
+        proc.kill()
+        stdout, _ = proc.communicate()
+        raise
+    assert 'SUCCESS' in stdout
+
+
+def _test_other_signal_before_sigint_impl(backend, target_name, kwargs):
+    import signal
+    import matplotlib.pyplot as plt
+
+    plt.switch_backend(backend)
+
+    target = getattr(plt, target_name)
+
+    fig = plt.figure()
+    fig.canvas.mpl_connect('draw_event', lambda *args: print('DRAW', flush=True))
+
+    timer = fig.canvas.new_timer(interval=1)
+    timer.single_shot = True
+    timer.add_callback(print, 'SIGUSR1', flush=True)
+
+    def custom_signal_handler(signum, frame):
+        timer.start()
+    signal.signal(signal.SIGUSR1, custom_signal_handler)
+
+    try:
+        target(**kwargs)
+    except KeyboardInterrupt:
+        print('SUCCESS', flush=True)
+
+
+@pytest.mark.skipif(sys.platform == 'win32',
+                    reason='No other signal available to send on Windows')
+@pytest.mark.parametrize("env", _get_testable_interactive_backends())
+@pytest.mark.parametrize("target, kwargs", [
+    ('show', {'block': True}),
+    ('pause', {'interval': 10})
+])
+def test_other_signal_before_sigint(env, target, kwargs, request):
+    backend = env.get("MPLBACKEND")
+    if not backend.startswith(("qt", "macosx")):
+        pytest.skip("SIGINT currently only tested on qt and macosx")
+    if backend == "macosx":
+        request.node.add_marker(pytest.mark.xfail(reason="macosx backend is buggy"))
+    if sys.platform == "darwin" and target == "show":
+        # We've not previously had these toolkits installed on CI, and so were never
+        # aware that this was crashing. However, we've had little luck reproducing it
+        # locally, so mark it xfail for now. For more information, see
+        # https://github.com/matplotlib/matplotlib/issues/27984
+        request.node.add_marker(
+            pytest.mark.xfail(reason="Qt backend is buggy on macOS"))
+    proc = _WaitForStringPopen(
+        [sys.executable, "-c",
+         inspect.getsource(_test_other_signal_before_sigint_impl) +
+         "\n_test_other_signal_before_sigint_impl("
+            f"{backend!r}, {target!r}, {kwargs!r})"])
+    try:
+        proc.wait_for('DRAW')
+        os.kill(proc.pid, signal.SIGUSR1)
+        proc.wait_for('SIGUSR1')
+        os.kill(proc.pid, signal.SIGINT)
+        stdout, _ = proc.communicate(timeout=_test_timeout)
+    except Exception:
+        proc.kill()
+        stdout, _ = proc.communicate()
+        raise
+    print(stdout)
+    assert 'SUCCESS' in stdout
diff --git a/lib/matplotlib/tests/test_basic.py b/lib/matplotlib/tests/test_basic.py
index d5f23ba868aa..f6aa1e458555 100644
--- a/lib/matplotlib/tests/test_basic.py
+++ b/lib/matplotlib/tests/test_basic.py
@@ -1,26 +1,18 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import builtins
+import os
+import sys
+import textwrap
 
-import six
-
-from nose.tools import assert_equal
-
-from matplotlib.testing.decorators import knownfailureif
-from pylab import *
+from matplotlib.testing import subprocess_run_for_testing
 
 
 def test_simple():
-    assert_equal(1 + 1, 2)
-
-
-@knownfailureif(True)
-def test_simple_knownfail():
-    # Test the known fail mechanism.
-    assert_equal(1 + 1, 3)
+    assert 1 + 1 == 2
 
 
 def test_override_builtins():
-    ok_to_override = set([
+    import pylab  # type: ignore[import]
+    ok_to_override = {
         '__name__',
         '__doc__',
         '__package__',
@@ -28,27 +20,29 @@ def test_override_builtins():
         '__spec__',
         'any',
         'all',
-        'sum'
-    ])
-
-    # We could use six.moves.builtins here, but that seems
-    # to do a little more than just this.
-    if six.PY3:
-        builtins = sys.modules['builtins']
-    else:
-        builtins = sys.modules['__builtin__']
-
-    overridden = False
-    for key in globals().keys():
-        if key in dir(builtins):
-            if (globals()[key] != getattr(builtins, key) and
-                    key not in ok_to_override):
-                print("'%s' was overridden in globals()." % key)
-                overridden = True
-
-    assert not overridden
-
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+        'sum',
+        'divmod'
+    }
+    overridden = {key for key in {*dir(pylab)} & {*dir(builtins)}
+                  if getattr(pylab, key) != getattr(builtins, key)}
+    assert overridden <= ok_to_override
+
+
+def test_lazy_imports():
+    source = textwrap.dedent("""
+    import sys
+
+    import matplotlib.figure
+    import matplotlib.backend_bases
+    import matplotlib.pyplot
+
+    assert 'matplotlib._tri' not in sys.modules
+    assert 'matplotlib._qhull' not in sys.modules
+    assert 'matplotlib._contour' not in sys.modules
+    assert 'urllib.request' not in sys.modules
+    """)
+
+    subprocess_run_for_testing(
+        [sys.executable, '-c', source],
+        env={**os.environ, "MPLBACKEND": "", "MATPLOTLIBRC": os.devnull},
+        check=True)
diff --git a/lib/matplotlib/tests/test_bbox_tight.py b/lib/matplotlib/tests/test_bbox_tight.py
index 881b1e52bcec..431ca70bf7ea 100644
--- a/lib/matplotlib/tests/test_bbox_tight.py
+++ b/lib/matplotlib/tests/test_bbox_tight.py
@@ -1,56 +1,56 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
+from io import BytesIO
+import platform
 
 import numpy as np
 
-from matplotlib import rcParams
 from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
 import matplotlib.path as mpath
 import matplotlib.patches as mpatches
 from matplotlib.ticker import FuncFormatter
+from mpl_toolkits.axes_grid1.inset_locator import inset_axes
 
 
-@image_comparison(baseline_images=['bbox_inches_tight'], remove_text=True,
-                  savefig_kwarg=dict(bbox_inches='tight'), tol=15)
-def test_bbox_inches_tight():
+@image_comparison(['bbox_inches_tight'], remove_text=True, style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_bbox_inches_tight(text_placeholders):
     #: Test that a figure saved using bbox_inches='tight' is clipped correctly
-    data = [[ 66386, 174296,  75131, 577908,  32015],
-            [ 58230, 381139,  78045,  99308, 160454],
-            [ 89135,  80552, 152558, 497981, 603535],
-            [ 78415,  81858, 150656, 193263,  69638],
-            [139361, 331509, 343164, 781380,  52269]]
+    data = [[66386, 174296, 75131, 577908, 32015],
+            [58230, 381139, 78045, 99308, 160454],
+            [89135, 80552, 152558, 497981, 603535],
+            [78415, 81858, 150656, 193263, 69638],
+            [139361, 331509, 343164, 781380, 52269]]
 
-    colLabels = rowLabels = [''] * 5
+    col_labels = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
+    row_labels = [f'{x} year' for x in (100, 50, 20, 10, 5)]
 
     rows = len(data)
-    ind = np.arange(len(colLabels)) + 0.3  # the x locations for the groups
-    cellText = []
-    width = 0.4     # the width of the bars
-    yoff = np.array([0.0] * len(colLabels))
+    ind = np.arange(len(col_labels)) + 0.3  # the x locations for the groups
+    cell_text = []
+    width = 0.4  # the width of the bars
+    yoff = np.zeros(len(col_labels))
     # the bottom values for stacked bar chart
     fig, ax = plt.subplots(1, 1)
-    for row in xrange(rows):
-        plt.bar(ind, data[row], width, bottom=yoff)
+    for row in range(rows):
+        ax.bar(ind, data[row], width, bottom=yoff, align='edge')
         yoff = yoff + data[row]
-        cellText.append([''])
+        cell_text.append([f'{x / 1000:1.1f}' for x in yoff])
     plt.xticks([])
-    plt.legend([''] * 5, loc=(1.2, 0.2))
+    plt.xlim(0, 5)
+    plt.legend(['1', '2', '3', '4', '5'], loc=(1.2, 0.2))
+    fig.legend(['a', 'b', 'c', 'd', 'e'], bbox_to_anchor=(0, 0.2), loc='lower left')
     # Add a table at the bottom of the axes
-    cellText.reverse()
-    the_table = plt.table(cellText=cellText,
-                          rowLabels=rowLabels,
-                          colLabels=colLabels, loc='bottom')
+    cell_text.reverse()
+    plt.table(cellText=cell_text, rowLabels=row_labels, colLabels=col_labels,
+              loc='bottom')
 
 
-@image_comparison(baseline_images=['bbox_inches_tight_suptile_legend'],
-                  remove_text=False, savefig_kwarg={'bbox_inches': 'tight'})
+@image_comparison(['bbox_inches_tight_suptile_legend'],
+                  savefig_kwarg={'bbox_inches': 'tight'},
+                  tol=0 if platform.machine() == 'x86_64' else 0.02)
 def test_bbox_inches_tight_suptile_legend():
-    plt.plot(list(xrange(10)), label='a straight line')
-    plt.legend(bbox_to_anchor=(0.9, 1), loc=2, )
+    plt.plot(np.arange(10), label='a straight line')
+    plt.legend(bbox_to_anchor=(0.9, 1), loc='upper left')
     plt.title('Axis title')
     plt.suptitle('Figure title')
 
@@ -65,15 +65,39 @@ def y_formatter(y, pos):
     plt.xlabel('X axis')
 
 
-@image_comparison(baseline_images=['bbox_inches_tight_clipping'],
+@image_comparison(['bbox_inches_tight_suptile_non_default.png'],
+                  savefig_kwarg={'bbox_inches': 'tight'},
+                  tol=0.1)  # large tolerance because only testing clipping.
+def test_bbox_inches_tight_suptitle_non_default():
+    fig, ax = plt.subplots()
+    fig.suptitle('Booo', x=0.5, y=1.1)
+
+
+@image_comparison(['bbox_inches_tight_layout.png'], remove_text=True,
+                  style='mpl20',
+                  savefig_kwarg=dict(bbox_inches='tight', pad_inches='layout'))
+def test_bbox_inches_tight_layout_constrained():
+    fig, ax = plt.subplots(layout='constrained')
+    fig.get_layout_engine().set(h_pad=0.5)
+    ax.set_aspect('equal')
+
+
+def test_bbox_inches_tight_layout_notconstrained(tmp_path):
+    # pad_inches='layout' should be ignored when not using constrained/
+    # compressed layout.  Smoke test that savefig doesn't error in this case.
+    fig, ax = plt.subplots()
+    fig.savefig(tmp_path / 'foo.png', bbox_inches='tight', pad_inches='layout')
+
+
+@image_comparison(['bbox_inches_tight_clipping'],
                   remove_text=True, savefig_kwarg={'bbox_inches': 'tight'})
 def test_bbox_inches_tight_clipping():
     # tests bbox clipping on scatter points, and path clipping on a patch
     # to generate an appropriately tight bbox
-    plt.scatter(list(xrange(10)), list(xrange(10)))
+    plt.scatter(np.arange(10), np.arange(10))
     ax = plt.gca()
-    ax.set_xlim([0, 5])
-    ax.set_ylim([0, 5])
+    ax.set_xlim(0, 5)
+    ax.set_ylim(0, 5)
 
     # make a massive rectangle and clip it with a path
     patch = mpatches.Rectangle([-50, -50], 100, 100,
@@ -84,16 +108,85 @@ def test_bbox_inches_tight_clipping():
     path.vertices *= 0.25
     patch.set_clip_path(path, transform=ax.transAxes)
     plt.gcf().artists.append(patch)
-    
-    
-@image_comparison(baseline_images=['bbox_inches_tight_raster'],
+
+
+@image_comparison(['bbox_inches_tight_raster'],
                   remove_text=True, savefig_kwarg={'bbox_inches': 'tight'})
 def test_bbox_inches_tight_raster():
     """Test rasterization with tight_layout"""
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot([1.0, 2.0], rasterized=True)
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+
+def test_only_on_non_finite_bbox():
+    fig, ax = plt.subplots()
+    ax.annotate("", xy=(0, float('nan')))
+    ax.set_axis_off()
+    # we only need to test that it does not error out on save
+    fig.savefig(BytesIO(), bbox_inches='tight', format='png')
+
+
+def test_tight_pcolorfast():
+    fig, ax = plt.subplots()
+    ax.pcolorfast(np.arange(4).reshape((2, 2)))
+    ax.set(ylim=(0, .1))
+    buf = BytesIO()
+    fig.savefig(buf, bbox_inches="tight")
+    buf.seek(0)
+    height, width, _ = plt.imread(buf).shape
+    # Previously, the bbox would include the area of the image clipped out by
+    # the axes, resulting in a very tall image given the y limits of (0, 0.1).
+    assert width > height
+
+
+def test_noop_tight_bbox():
+    from PIL import Image
+    x_size, y_size = (10, 7)
+    dpi = 100
+    # make the figure just the right size up front
+    fig = plt.figure(frameon=False, dpi=dpi, figsize=(x_size/dpi, y_size/dpi))
+    ax = fig.add_axes((0, 0, 1, 1))
+    ax.set_axis_off()
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+    data = np.arange(x_size * y_size).reshape(y_size, x_size)
+    ax.imshow(data, rasterized=True)
+
+    # When a rasterized Artist is included, a mixed-mode renderer does
+    # additional bbox adjustment. It should also be a no-op, and not affect the
+    # next save.
+    fig.savefig(BytesIO(), bbox_inches='tight', pad_inches=0, format='pdf')
+
+    out = BytesIO()
+    fig.savefig(out, bbox_inches='tight', pad_inches=0)
+    out.seek(0)
+    im = np.asarray(Image.open(out))
+    assert (im[:, :, 3] == 255).all()
+    assert not (im[:, :, :3] == 255).all()
+    assert im.shape == (7, 10, 4)
+
+
+@image_comparison(['bbox_inches_fixed_aspect'], extensions=['png'],
+                  remove_text=True, savefig_kwarg={'bbox_inches': 'tight'})
+def test_bbox_inches_fixed_aspect():
+    with plt.rc_context({'figure.constrained_layout.use': True}):
+        fig, ax = plt.subplots()
+        ax.plot([0, 1])
+        ax.set_xlim(0, 1)
+        ax.set_aspect('equal')
+
+
+@image_comparison(['bbox_inches_inset_rasterized'], extensions=['pdf'],
+                  remove_text=True, savefig_kwarg={'bbox_inches': 'tight'},
+                  style='mpl20')
+def test_bbox_inches_inset_rasterized():
+    fig, ax = plt.subplots()
+
+    arr = np.arange(100).reshape(10, 10)
+    im = ax.imshow(arr)
+    inset = inset_axes(
+        ax, width='10%', height='30%', loc='upper left',
+        bbox_to_anchor=(0.045, 0., 1, 1), bbox_transform=ax.transAxes)
+
+    fig.colorbar(im, cax=inset, orientation='horizontal')
diff --git a/lib/matplotlib/tests/test_bezier.py b/lib/matplotlib/tests/test_bezier.py
new file mode 100644
index 000000000000..65e2c616e738
--- /dev/null
+++ b/lib/matplotlib/tests/test_bezier.py
@@ -0,0 +1,17 @@
+"""
+Tests specific to the bezier module.
+"""
+
+from matplotlib.bezier import inside_circle, split_bezier_intersecting_with_closedpath
+
+
+def test_split_bezier_with_large_values():
+    # These numbers come from gh-27753
+    arrow_path = [(96950809781500.0, 804.7503795623779),
+                  (96950809781500.0, 859.6242585800646),
+                  (96950809781500.0, 914.4981375977513)]
+    in_f = inside_circle(96950809781500.0, 804.7503795623779, 0.06)
+    split_bezier_intersecting_with_closedpath(arrow_path, in_f)
+    # All we are testing is that this completes
+    # The failure case is an infinite loop resulting from floating point precision
+    # pytest will timeout if that occurs
diff --git a/lib/matplotlib/tests/test_category.py b/lib/matplotlib/tests/test_category.py
new file mode 100644
index 000000000000..7917bb17ad59
--- /dev/null
+++ b/lib/matplotlib/tests/test_category.py
@@ -0,0 +1,331 @@
+"""Catch all for categorical functions"""
+import warnings
+
+import pytest
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib.axes import Axes
+import matplotlib.pyplot as plt
+import matplotlib.category as cat
+from matplotlib.testing.decorators import check_figures_equal
+
+
+class TestUnitData:
+    test_cases = [('single', (["hello world"], [0])),
+                  ('unicode', (["Здрав�твуйте мир"], [0])),
+                  ('mixed', (['A', "np.nan", 'B', "3.14", "мир"],
+                             [0, 1, 2, 3, 4]))]
+    ids, data = zip(*test_cases)
+
+    @pytest.mark.parametrize("data, locs", data, ids=ids)
+    def test_unit(self, data, locs):
+        unit = cat.UnitData(data)
+        assert list(unit._mapping.keys()) == data
+        assert list(unit._mapping.values()) == locs
+
+    def test_update(self):
+        data = ['a', 'd']
+        locs = [0, 1]
+
+        data_update = ['b', 'd', 'e']
+        unique_data = ['a', 'd', 'b', 'e']
+        updated_locs = [0, 1, 2, 3]
+
+        unit = cat.UnitData(data)
+        assert list(unit._mapping.keys()) == data
+        assert list(unit._mapping.values()) == locs
+
+        unit.update(data_update)
+        assert list(unit._mapping.keys()) == unique_data
+        assert list(unit._mapping.values()) == updated_locs
+
+    failing_test_cases = [("number", 3.14), ("nan", np.nan),
+                          ("list", [3.14, 12]), ("mixed type", ["A", 2])]
+
+    fids, fdata = zip(*test_cases)
+
+    @pytest.mark.parametrize("fdata", fdata, ids=fids)
+    def test_non_string_fails(self, fdata):
+        with pytest.raises(TypeError):
+            cat.UnitData(fdata)
+
+    @pytest.mark.parametrize("fdata", fdata, ids=fids)
+    def test_non_string_update_fails(self, fdata):
+        unitdata = cat.UnitData()
+        with pytest.raises(TypeError):
+            unitdata.update(fdata)
+
+
+class FakeAxis:
+    def __init__(self, units):
+        self.units = units
+
+
+class TestStrCategoryConverter:
+    """
+    Based on the pandas conversion and factorization tests:
+
+    ref: /pandas/tseries/tests/test_converter.py
+         /pandas/tests/test_algos.py:TestFactorize
+    """
+    test_cases = [("unicode", ["Здрав�твуйте мир"]),
+                  ("ascii", ["hello world"]),
+                  ("single", ['a', 'b', 'c']),
+                  ("integer string", ["1", "2"]),
+                  ("single + values>10", ["A", "B", "C", "D", "E", "F", "G",
+                                          "H", "I", "J", "K", "L", "M", "N",
+                                          "O", "P", "Q", "R", "S", "T", "U",
+                                          "V", "W", "X", "Y", "Z"])]
+
+    ids, values = zip(*test_cases)
+
+    failing_test_cases = [("mixed", [3.14, 'A', np.inf]),
+                          ("string integer", ['42', 42])]
+
+    fids, fvalues = zip(*failing_test_cases)
+
+    @pytest.fixture(autouse=True)
+    def mock_axis(self, request):
+        self.cc = cat.StrCategoryConverter()
+        # self.unit should be probably be replaced with real mock unit
+        self.unit = cat.UnitData()
+        self.ax = FakeAxis(self.unit)
+
+    @pytest.mark.parametrize("vals", values, ids=ids)
+    def test_convert(self, vals):
+        np.testing.assert_allclose(self.cc.convert(vals, self.ax.units,
+                                                   self.ax),
+                                   range(len(vals)))
+
+    @pytest.mark.parametrize("value", ["hi", "мир"], ids=["ascii", "unicode"])
+    def test_convert_one_string(self, value):
+        assert self.cc.convert(value, self.unit, self.ax) == 0
+
+    @pytest.mark.parametrize("fvals", fvalues, ids=fids)
+    def test_convert_fail(self, fvals):
+        with pytest.raises(TypeError):
+            self.cc.convert(fvals, self.unit, self.ax)
+
+    def test_axisinfo(self):
+        axis = self.cc.axisinfo(self.unit, self.ax)
+        assert isinstance(axis.majloc, cat.StrCategoryLocator)
+        assert isinstance(axis.majfmt, cat.StrCategoryFormatter)
+
+    def test_default_units(self):
+        assert isinstance(self.cc.default_units(["a"], self.ax), cat.UnitData)
+
+
+PLOT_LIST = [Axes.scatter, Axes.plot, Axes.bar]
+PLOT_IDS = ["scatter", "plot", "bar"]
+
+
+class TestStrCategoryLocator:
+    def test_StrCategoryLocator(self):
+        locs = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+        unit = cat.UnitData([str(j) for j in locs])
+        ticks = cat.StrCategoryLocator(unit._mapping)
+        np.testing.assert_array_equal(ticks.tick_values(None, None), locs)
+
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_StrCategoryLocatorPlot(self, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, [1, 2, 3], ["a", "b", "c"])
+        np.testing.assert_array_equal(ax.yaxis.major.locator(), range(3))
+
+
+class TestStrCategoryFormatter:
+    test_cases = [("ascii", ["hello", "world", "hi"]),
+                  ("unicode", ["Здрав�твуйте", "привет"])]
+
+    ids, cases = zip(*test_cases)
+
+    @pytest.mark.parametrize("ydata", cases, ids=ids)
+    def test_StrCategoryFormatter(self, ydata):
+        unit = cat.UnitData(ydata)
+        labels = cat.StrCategoryFormatter(unit._mapping)
+        for i, d in enumerate(ydata):
+            assert labels(i, i) == d
+            assert labels(i, None) == d
+
+    @pytest.mark.parametrize("ydata", cases, ids=ids)
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_StrCategoryFormatterPlot(self, ydata, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, range(len(ydata)), ydata)
+        for i, d in enumerate(ydata):
+            assert ax.yaxis.major.formatter(i) == d
+        assert ax.yaxis.major.formatter(i+1) == ""
+
+
+def axis_test(axis, labels):
+    ticks = list(range(len(labels)))
+    np.testing.assert_array_equal(axis.get_majorticklocs(), ticks)
+    graph_labels = [axis.major.formatter(i, i) for i in ticks]
+    # _text also decodes bytes as utf-8.
+    assert graph_labels == [cat.StrCategoryFormatter._text(l) for l in labels]
+    assert list(axis.units._mapping.keys()) == [l for l in labels]
+    assert list(axis.units._mapping.values()) == ticks
+
+
+class TestPlotBytes:
+    bytes_cases = [('string list', ['a', 'b', 'c']),
+                   ('bytes list', [b'a', b'b', b'c']),
+                   ('bytes ndarray', np.array([b'a', b'b', b'c']))]
+
+    bytes_ids, bytes_data = zip(*bytes_cases)
+
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    @pytest.mark.parametrize("bdata", bytes_data, ids=bytes_ids)
+    def test_plot_bytes(self, plotter, bdata):
+        ax = plt.figure().subplots()
+        counts = np.array([4, 6, 5])
+        plotter(ax, bdata, counts)
+        axis_test(ax.xaxis, bdata)
+
+
+class TestPlotNumlike:
+    numlike_cases = [('string list', ['1', '11', '3']),
+                     ('string ndarray', np.array(['1', '11', '3'])),
+                     ('bytes list', [b'1', b'11', b'3']),
+                     ('bytes ndarray', np.array([b'1', b'11', b'3']))]
+    numlike_ids, numlike_data = zip(*numlike_cases)
+
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    @pytest.mark.parametrize("ndata", numlike_data, ids=numlike_ids)
+    def test_plot_numlike(self, plotter, ndata):
+        ax = plt.figure().subplots()
+        counts = np.array([4, 6, 5])
+        plotter(ax, ndata, counts)
+        axis_test(ax.xaxis, ndata)
+
+
+class TestPlotTypes:
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_plot_unicode(self, plotter):
+        ax = plt.figure().subplots()
+        words = ['Здрав�твуйте', 'привет']
+        plotter(ax, words, [0, 1])
+        axis_test(ax.xaxis, words)
+
+    @pytest.fixture
+    def test_data(self):
+        self.x = ["hello", "happy", "world"]
+        self.xy = [2, 6, 3]
+        self.y = ["Python", "is", "fun"]
+        self.yx = [3, 4, 5]
+
+    @pytest.mark.usefixtures("test_data")
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_plot_xaxis(self, test_data, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, self.x, self.xy)
+        axis_test(ax.xaxis, self.x)
+
+    @pytest.mark.usefixtures("test_data")
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_plot_yaxis(self, test_data, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, self.yx, self.y)
+        axis_test(ax.yaxis, self.y)
+
+    @pytest.mark.usefixtures("test_data")
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_plot_xyaxis(self, test_data, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, self.x, self.y)
+        axis_test(ax.xaxis, self.x)
+        axis_test(ax.yaxis, self.y)
+
+    @pytest.mark.parametrize("plotter", PLOT_LIST, ids=PLOT_IDS)
+    def test_update_plot(self, plotter):
+        ax = plt.figure().subplots()
+        plotter(ax, ['a', 'b'], ['e', 'g'])
+        plotter(ax, ['a', 'b', 'd'], ['f', 'a', 'b'])
+        plotter(ax, ['b', 'c', 'd'], ['g', 'e', 'd'])
+        axis_test(ax.xaxis, ['a', 'b', 'd', 'c'])
+        axis_test(ax.yaxis, ['e', 'g', 'f', 'a', 'b', 'd'])
+
+    def test_update_plot_heterogenous_plotter(self):
+        ax = plt.figure().subplots()
+        ax.scatter(['a', 'b'], ['e', 'g'])
+        ax.plot(['a', 'b', 'd'], ['f', 'a', 'b'])
+        ax.bar(['b', 'c', 'd'], ['g', 'e', 'd'])
+        axis_test(ax.xaxis, ['a', 'b', 'd', 'c'])
+        axis_test(ax.yaxis, ['e', 'g', 'f', 'a', 'b', 'd'])
+
+    failing_test_cases = [("mixed", ['A', 3.14]),
+                          ("number integer", ['1', 1]),
+                          ("string integer", ['42', 42]),
+                          ("missing", ['12', np.nan])]
+
+    fids, fvalues = zip(*failing_test_cases)
+
+    plotters = [Axes.scatter, Axes.bar,
+                pytest.param(Axes.plot, marks=pytest.mark.xfail)]
+
+    @pytest.mark.parametrize("plotter", plotters)
+    @pytest.mark.parametrize("xdata", fvalues, ids=fids)
+    def test_mixed_type_exception(self, plotter, xdata):
+        ax = plt.figure().subplots()
+        with pytest.raises(TypeError):
+            plotter(ax, xdata, [1, 2])
+
+    @pytest.mark.parametrize("plotter", plotters)
+    @pytest.mark.parametrize("xdata", fvalues, ids=fids)
+    def test_mixed_type_update_exception(self, plotter, xdata):
+        ax = plt.figure().subplots()
+        with pytest.raises(TypeError):
+            plotter(ax, [0, 3], [1, 3])
+            plotter(ax, xdata, [1, 2])
+
+
+@mpl.style.context('default')
+@check_figures_equal()
+def test_overriding_units_in_plot(fig_test, fig_ref):
+    from datetime import datetime
+
+    t0 = datetime(2018, 3, 1)
+    t1 = datetime(2018, 3, 2)
+    t2 = datetime(2018, 3, 3)
+    t3 = datetime(2018, 3, 4)
+
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+    for ax, kwargs in zip([ax_test, ax_ref],
+                          ({}, dict(xunits=None, yunits=None))):
+        # First call works
+        ax.plot([t0, t1], ["V1", "V2"], **kwargs)
+        x_units = ax.xaxis.units
+        y_units = ax.yaxis.units
+        # this should not raise
+        ax.plot([t2, t3], ["V1", "V2"], **kwargs)
+        # assert that we have not re-set the units attribute at all
+        assert x_units is ax.xaxis.units
+        assert y_units is ax.yaxis.units
+
+
+def test_no_deprecation_on_empty_data():
+    """
+    Smoke test to check that no deprecation warning is emitted. See #22640.
+    """
+    f, ax = plt.subplots()
+    ax.xaxis.update_units(["a", "b"])
+    ax.plot([], [])
+
+
+def test_hist():
+    fig, ax = plt.subplots()
+    n, bins, patches = ax.hist(['a', 'b', 'a', 'c', 'ff'])
+    assert n.shape == (10,)
+    np.testing.assert_allclose(n, [2., 0., 0., 1., 0., 0., 1., 0., 0., 1.])
+
+
+def test_set_lim():
+    # Numpy 1.25 deprecated casting [2.] to float, catch_warnings added to error
+    # with numpy 1.25 and prior to the change from gh-26597
+    # can be removed once the minimum numpy version has expired the warning
+    f, ax = plt.subplots()
+    ax.plot(["a", "b", "c", "d"], [1, 2, 3, 4])
+    with warnings.catch_warnings():
+        ax.set_xlim("b", "c")
diff --git a/lib/matplotlib/tests/test_cbook.py b/lib/matplotlib/tests/test_cbook.py
index 416fa0c74020..9b97d8e7e231 100644
--- a/lib/matplotlib/tests/test_cbook.py
+++ b/lib/matplotlib/tests/test_cbook.py
@@ -1,102 +1,62 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from __future__ import annotations
 
-import six
+import itertools
+import pathlib
+import pickle
+import sys
 
-from datetime import datetime
+from typing import Any
+from unittest.mock import patch, Mock
+
+from datetime import datetime, date, timedelta
 
 import numpy as np
-from numpy.testing.utils import (assert_array_equal, assert_approx_equal,
-                                 assert_array_almost_equal)
-from nose.tools import assert_equal, raises, assert_true
+from numpy.testing import (assert_array_equal, assert_approx_equal,
+                           assert_array_almost_equal)
+import pytest
 
-import matplotlib.cbook as cbook
+from matplotlib import _api, cbook
 import matplotlib.colors as mcolors
-from matplotlib.cbook import delete_masked_points as dmp
-
-
-def test_is_string_like():
-    y = np.arange(10)
-    assert_equal(cbook.is_string_like(y), False)
-    y.shape = 10, 1
-    assert_equal(cbook.is_string_like(y), False)
-    y.shape = 1, 10
-    assert_equal(cbook.is_string_like(y), False)
-
-    assert cbook.is_string_like("hello world")
-    assert_equal(cbook.is_string_like(10), False)
-
-
-def test_restrict_dict():
-    d = {'foo': 'bar', 1: 2}
-    d1 = cbook.restrict_dict(d, ['foo', 1])
-    assert_equal(d1, d)
-    d2 = cbook.restrict_dict(d, ['bar', 2])
-    assert_equal(d2, {})
-    d3 = cbook.restrict_dict(d, {'foo': 1})
-    assert_equal(d3, {'foo': 'bar'})
-    d4 = cbook.restrict_dict(d, {})
-    assert_equal(d4, {})
-    d5 = cbook.restrict_dict(d, set(['foo', 2]))
-    assert_equal(d5, {'foo': 'bar'})
-    # check that d was not modified
-    assert_equal(d, {'foo': 'bar', 1: 2})
-
-
-class Test_delete_masked_points(object):
-    def setUp(self):
-        self.mask1 = [False, False, True, True, False, False]
-        self.arr0 = np.arange(1.0, 7.0)
-        self.arr1 = [1, 2, 3, np.nan, np.nan, 6]
-        self.arr2 = np.array(self.arr1)
-        self.arr3 = np.ma.array(self.arr2, mask=self.mask1)
-        self.arr_s = ['a', 'b', 'c', 'd', 'e', 'f']
-        self.arr_s2 = np.array(self.arr_s)
-        self.arr_dt = [datetime(2008, 1, 1), datetime(2008, 1, 2),
-                       datetime(2008, 1, 3), datetime(2008, 1, 4),
-                       datetime(2008, 1, 5), datetime(2008, 1, 6)]
-        self.arr_dt2 = np.array(self.arr_dt)
-        self.arr_colors = ['r', 'g', 'b', 'c', 'm', 'y']
-        self.arr_rgba = mcolors.colorConverter.to_rgba_array(self.arr_colors)
-
-    @raises(ValueError)
+from matplotlib.cbook import delete_masked_points, strip_math
+from types import ModuleType
+
+
+class Test_delete_masked_points:
     def test_bad_first_arg(self):
-        dmp('a string', self.arr0)
+        with pytest.raises(ValueError):
+            delete_masked_points('a string', np.arange(1.0, 7.0))
 
     def test_string_seq(self):
-        actual = dmp(self.arr_s, self.arr1)
+        a1 = ['a', 'b', 'c', 'd', 'e', 'f']
+        a2 = [1, 2, 3, np.nan, np.nan, 6]
+        result1, result2 = delete_masked_points(a1, a2)
         ind = [0, 1, 2, 5]
-        expected = (self.arr_s2.take(ind), self.arr2.take(ind))
-        assert_array_equal(actual[0], expected[0])
-        assert_array_equal(actual[1], expected[1])
+        assert_array_equal(result1, np.array(a1)[ind])
+        assert_array_equal(result2, np.array(a2)[ind])
 
     def test_datetime(self):
-        actual = dmp(self.arr_dt, self.arr3)
-        ind = [0, 1,  5]
-        expected = (self.arr_dt2.take(ind),
-                    self.arr3.take(ind).compressed())
-        assert_array_equal(actual[0], expected[0])
-        assert_array_equal(actual[1], expected[1])
+        dates = [datetime(2008, 1, 1), datetime(2008, 1, 2),
+                 datetime(2008, 1, 3), datetime(2008, 1, 4),
+                 datetime(2008, 1, 5), datetime(2008, 1, 6)]
+        a_masked = np.ma.array([1, 2, 3, np.nan, np.nan, 6],
+                               mask=[False, False, True, True, False, False])
+        actual = delete_masked_points(dates, a_masked)
+        ind = [0, 1, 5]
+        assert_array_equal(actual[0], np.array(dates)[ind])
+        assert_array_equal(actual[1], a_masked[ind].compressed())
 
     def test_rgba(self):
-        actual = dmp(self.arr3, self.arr_rgba)
+        a_masked = np.ma.array([1, 2, 3, np.nan, np.nan, 6],
+                               mask=[False, False, True, True, False, False])
+        a_rgba = mcolors.to_rgba_array(['r', 'g', 'b', 'c', 'm', 'y'])
+        actual = delete_masked_points(a_masked, a_rgba)
         ind = [0, 1, 5]
-        expected = (self.arr3.take(ind).compressed(),
-                    self.arr_rgba.take(ind, axis=0))
-        assert_array_equal(actual[0], expected[0])
-        assert_array_equal(actual[1], expected[1])
+        assert_array_equal(actual[0], a_masked[ind].compressed())
+        assert_array_equal(actual[1], a_rgba[ind])
 
 
-def test_allequal():
-    assert(cbook.allequal([1, 1, 1]))
-    assert(not cbook.allequal([1, 1, 0]))
-    assert(cbook.allequal([]))
-    assert(cbook.allequal(('a', 'a')))
-    assert(not cbook.allequal(('a', 'b')))
-
-
-class Test_boxplot_stats(object):
-    def setup(self):
+class Test_boxplot_stats:
+    def setup_method(self):
         np.random.seed(937)
         self.nrows = 37
         self.ncols = 4
@@ -147,99 +107,960 @@ def setup(self):
         }
 
     def test_form_main_list(self):
-        assert_true(isinstance(self.std_results, list))
+        assert isinstance(self.std_results, list)
 
     def test_form_each_dict(self):
         for res in self.std_results:
-            assert_true(isinstance(res, dict))
+            assert isinstance(res, dict)
 
     def test_form_dict_keys(self):
         for res in self.std_results:
-            keys = sorted(list(res.keys()))
-            for key in keys:
-                assert_true(key in self.known_keys)
+            assert set(res) <= set(self.known_keys)
 
     def test_results_baseline(self):
         res = self.std_results[0]
-        for key in list(self.known_nonbootstrapped_res.keys()):
-            if key != 'fliers':
-                assert_statement = assert_approx_equal
-            else:
-                assert_statement = assert_array_almost_equal
-
-            assert_statement(
-                res[key],
-                self.known_nonbootstrapped_res[key]
-            )
+        for key, value in self.known_nonbootstrapped_res.items():
+            assert_array_almost_equal(res[key], value)
 
     def test_results_bootstrapped(self):
         results = cbook.boxplot_stats(self.data, bootstrap=10000)
         res = results[0]
-        for key in list(self.known_bootstrapped_ci.keys()):
-            assert_approx_equal(
-                res[key],
-                self.known_bootstrapped_ci[key]
-            )
+        for key, value in self.known_bootstrapped_ci.items():
+            assert_approx_equal(res[key], value)
 
     def test_results_whiskers_float(self):
         results = cbook.boxplot_stats(self.data, whis=3)
         res = results[0]
-        for key in list(self.known_whis3_res.keys()):
-            if key != 'fliers':
-                assert_statement = assert_approx_equal
-            else:
-                assert_statement = assert_array_almost_equal
-
-            assert_statement(
-                res[key],
-                self.known_whis3_res[key]
-            )
+        for key, value in self.known_whis3_res.items():
+            assert_array_almost_equal(res[key], value)
 
     def test_results_whiskers_range(self):
-        results = cbook.boxplot_stats(self.data, whis='range')
+        results = cbook.boxplot_stats(self.data, whis=[0, 100])
         res = results[0]
-        for key in list(self.known_res_range.keys()):
-            if key != 'fliers':
-                assert_statement = assert_approx_equal
-            else:
-                assert_statement = assert_array_almost_equal
-
-            assert_statement(
-                res[key],
-                self.known_res_range[key]
-            )
+        for key, value in self.known_res_range.items():
+            assert_array_almost_equal(res[key], value)
 
     def test_results_whiskers_percentiles(self):
         results = cbook.boxplot_stats(self.data, whis=[5, 95])
         res = results[0]
-        for key in list(self.known_res_percentiles.keys()):
-            if key != 'fliers':
-                assert_statement = assert_approx_equal
-            else:
-                assert_statement = assert_array_almost_equal
-
-            assert_statement(
-                res[key],
-                self.known_res_percentiles[key]
-            )
+        for key, value in self.known_res_percentiles.items():
+            assert_array_almost_equal(res[key], value)
 
     def test_results_withlabels(self):
-        labels = ['Test1', 2, 'ardvark', 4]
+        labels = ['Test1', 2, 'Aardvark', 4]
         results = cbook.boxplot_stats(self.data, labels=labels)
-        res = results[0]
         for lab, res in zip(labels, results):
-            assert_equal(res['label'], lab)
+            assert res['label'] == lab
 
         results = cbook.boxplot_stats(self.data)
         for res in results:
-            assert('label' not in res)
+            assert 'label' not in res
 
-    @raises(ValueError)
     def test_label_error(self):
         labels = [1, 2]
-        results = cbook.boxplot_stats(self.data, labels=labels)
+        with pytest.raises(ValueError):
+            cbook.boxplot_stats(self.data, labels=labels)
 
-    @raises(ValueError)
     def test_bad_dims(self):
         data = np.random.normal(size=(34, 34, 34))
-        results = cbook.boxplot_stats(data)
+        with pytest.raises(ValueError):
+            cbook.boxplot_stats(data)
+
+    def test_boxplot_stats_autorange_false(self):
+        x = np.zeros(shape=140)
+        x = np.hstack([-25, x, 25])
+        bstats_false = cbook.boxplot_stats(x, autorange=False)
+        bstats_true = cbook.boxplot_stats(x, autorange=True)
+
+        assert bstats_false[0]['whislo'] == 0
+        assert bstats_false[0]['whishi'] == 0
+        assert_array_almost_equal(bstats_false[0]['fliers'], [-25, 25])
+
+        assert bstats_true[0]['whislo'] == -25
+        assert bstats_true[0]['whishi'] == 25
+        assert_array_almost_equal(bstats_true[0]['fliers'], [])
+
+
+class Hashable:
+    def dummy(self): pass
+
+
+class Unhashable:
+    __hash__ = None  # type: ignore[assignment]
+    def dummy(self): pass
+
+
+class Test_callback_registry:
+    def setup_method(self):
+        self.signal = 'test'
+        self.callbacks = cbook.CallbackRegistry()
+
+    def connect(self, s, func, pickle):
+        if pickle:
+            return self.callbacks.connect(s, func)
+        else:
+            return self.callbacks._connect_picklable(s, func)
+
+    def disconnect(self, cid):
+        return self.callbacks.disconnect(cid)
+
+    def count(self):
+        count1 = sum(s == self.signal for s, p in self.callbacks._func_cid_map)
+        count2 = len(self.callbacks.callbacks.get(self.signal))
+        assert count1 == count2
+        return count1
+
+    def is_empty(self):
+        np.testing.break_cycles()
+        assert [*self.callbacks._func_cid_map] == []
+        assert self.callbacks.callbacks == {}
+        assert self.callbacks._pickled_cids == set()
+
+    def is_not_empty(self):
+        np.testing.break_cycles()
+        assert [*self.callbacks._func_cid_map] != []
+        assert self.callbacks.callbacks != {}
+
+    def test_cid_restore(self):
+        cb = cbook.CallbackRegistry()
+        cb.connect('a', lambda: None)
+        cb2 = pickle.loads(pickle.dumps(cb))
+        cid = cb2.connect('c', lambda: None)
+        assert cid == 1
+
+    @pytest.mark.parametrize('pickle', [True, False])
+    @pytest.mark.parametrize('cls', [Hashable, Unhashable])
+    def test_callback_complete(self, pickle, cls):
+        # ensure we start with an empty registry
+        self.is_empty()
+
+        # create a class for testing
+        mini_me = cls()
+
+        # test that we can add a callback
+        cid1 = self.connect(self.signal, mini_me.dummy, pickle)
+        assert type(cid1) is int
+        self.is_not_empty()
+
+        # test that we don't add a second callback
+        cid2 = self.connect(self.signal, mini_me.dummy, pickle)
+        assert cid1 == cid2
+        self.is_not_empty()
+        assert len([*self.callbacks._func_cid_map]) == 1
+        assert len(self.callbacks.callbacks) == 1
+
+        del mini_me
+
+        # check we now have no callbacks registered
+        self.is_empty()
+
+    @pytest.mark.parametrize('pickle', [True, False])
+    @pytest.mark.parametrize('cls', [Hashable, Unhashable])
+    def test_callback_disconnect(self, pickle, cls):
+        # ensure we start with an empty registry
+        self.is_empty()
+
+        # create a class for testing
+        mini_me = cls()
+
+        # test that we can add a callback
+        cid1 = self.connect(self.signal, mini_me.dummy, pickle)
+        assert type(cid1) is int
+        self.is_not_empty()
+
+        self.disconnect(cid1)
+
+        # check we now have no callbacks registered
+        self.is_empty()
+
+    @pytest.mark.parametrize('pickle', [True, False])
+    @pytest.mark.parametrize('cls', [Hashable, Unhashable])
+    def test_callback_wrong_disconnect(self, pickle, cls):
+        # ensure we start with an empty registry
+        self.is_empty()
+
+        # create a class for testing
+        mini_me = cls()
+
+        # test that we can add a callback
+        cid1 = self.connect(self.signal, mini_me.dummy, pickle)
+        assert type(cid1) is int
+        self.is_not_empty()
+
+        self.disconnect("foo")
+
+        # check we still have callbacks registered
+        self.is_not_empty()
+
+    @pytest.mark.parametrize('pickle', [True, False])
+    @pytest.mark.parametrize('cls', [Hashable, Unhashable])
+    def test_registration_on_non_empty_registry(self, pickle, cls):
+        # ensure we start with an empty registry
+        self.is_empty()
+
+        # setup the registry with a callback
+        mini_me = cls()
+        self.connect(self.signal, mini_me.dummy, pickle)
+
+        # Add another callback
+        mini_me2 = cls()
+        self.connect(self.signal, mini_me2.dummy, pickle)
+
+        # Remove and add the second callback
+        mini_me2 = cls()
+        self.connect(self.signal, mini_me2.dummy, pickle)
+
+        # We still have 2 references
+        self.is_not_empty()
+        assert self.count() == 2
+
+        # Removing the last 2 references
+        mini_me = None
+        mini_me2 = None
+        self.is_empty()
+
+    def test_pickling(self):
+        assert hasattr(pickle.loads(pickle.dumps(cbook.CallbackRegistry())),
+                       "callbacks")
+
+
+def test_callbackregistry_default_exception_handler(capsys, monkeypatch):
+    cb = cbook.CallbackRegistry()
+    cb.connect("foo", lambda: None)
+
+    monkeypatch.setattr(
+        cbook, "_get_running_interactive_framework", lambda: None)
+    with pytest.raises(TypeError):
+        cb.process("foo", "argument mismatch")
+    outerr = capsys.readouterr()
+    assert outerr.out == outerr.err == ""
+
+    monkeypatch.setattr(
+        cbook, "_get_running_interactive_framework", lambda: "not-none")
+    cb.process("foo", "argument mismatch")  # No error in that case.
+    outerr = capsys.readouterr()
+    assert outerr.out == ""
+    assert "takes 0 positional arguments but 1 was given" in outerr.err
+
+
+def raising_cb_reg(func):
+    class TestException(Exception):
+        pass
+
+    def raise_runtime_error():
+        raise RuntimeError
+
+    def raise_value_error():
+        raise ValueError
+
+    def transformer(excp):
+        if isinstance(excp, RuntimeError):
+            raise TestException
+        raise excp
+
+    # old default
+    cb_old = cbook.CallbackRegistry(exception_handler=None)
+    cb_old.connect('foo', raise_runtime_error)
+
+    # filter
+    cb_filt = cbook.CallbackRegistry(exception_handler=transformer)
+    cb_filt.connect('foo', raise_runtime_error)
+
+    # filter
+    cb_filt_pass = cbook.CallbackRegistry(exception_handler=transformer)
+    cb_filt_pass.connect('foo', raise_value_error)
+
+    return pytest.mark.parametrize('cb, excp',
+                                   [[cb_old, RuntimeError],
+                                    [cb_filt, TestException],
+                                    [cb_filt_pass, ValueError]])(func)
+
+
+@raising_cb_reg
+def test_callbackregistry_custom_exception_handler(monkeypatch, cb, excp):
+    monkeypatch.setattr(
+        cbook, "_get_running_interactive_framework", lambda: None)
+    with pytest.raises(excp):
+        cb.process('foo')
+
+
+def test_callbackregistry_signals():
+    cr = cbook.CallbackRegistry(signals=["foo"])
+    results = []
+    def cb(x): results.append(x)
+    cr.connect("foo", cb)
+    with pytest.raises(ValueError):
+        cr.connect("bar", cb)
+    cr.process("foo", 1)
+    with pytest.raises(ValueError):
+        cr.process("bar", 1)
+    assert results == [1]
+
+
+def test_callbackregistry_blocking():
+    # Needs an exception handler for interactive testing environments
+    # that would only print this out instead of raising the exception
+    def raise_handler(excp):
+        raise excp
+    cb = cbook.CallbackRegistry(exception_handler=raise_handler)
+    def test_func1():
+        raise ValueError("1 should be blocked")
+    def test_func2():
+        raise ValueError("2 should be blocked")
+    cb.connect("test1", test_func1)
+    cb.connect("test2", test_func2)
+
+    # block all of the callbacks to make sure they aren't processed
+    with cb.blocked():
+        cb.process("test1")
+        cb.process("test2")
+
+    # block individual callbacks to make sure the other is still processed
+    with cb.blocked(signal="test1"):
+        # Blocked
+        cb.process("test1")
+        # Should raise
+        with pytest.raises(ValueError, match="2 should be blocked"):
+            cb.process("test2")
+
+    # Make sure the original callback functions are there after blocking
+    with pytest.raises(ValueError, match="1 should be blocked"):
+        cb.process("test1")
+    with pytest.raises(ValueError, match="2 should be blocked"):
+        cb.process("test2")
+
+
+@pytest.mark.parametrize('line, result', [
+    ('a : no_comment', 'a : no_comment'),
+    ('a : "quoted str"', 'a : "quoted str"'),
+    ('a : "quoted str" # comment', 'a : "quoted str"'),
+    ('a : "#000000"', 'a : "#000000"'),
+    ('a : "#000000" # comment', 'a : "#000000"'),
+    ('a : ["#000000", "#FFFFFF"]', 'a : ["#000000", "#FFFFFF"]'),
+    ('a : ["#000000", "#FFFFFF"] # comment', 'a : ["#000000", "#FFFFFF"]'),
+    ('a : val  # a comment "with quotes"', 'a : val'),
+    ('# only comment "with quotes" xx', ''),
+])
+def test_strip_comment(line, result):
+    """Strip everything from the first unquoted #."""
+    assert cbook._strip_comment(line) == result
+
+
+def test_strip_comment_invalid():
+    with pytest.raises(ValueError, match="Missing closing quote"):
+        cbook._strip_comment('grid.color: "aa')
+
+
+def test_sanitize_sequence():
+    d = {'a': 1, 'b': 2, 'c': 3}
+    k = ['a', 'b', 'c']
+    v = [1, 2, 3]
+    i = [('a', 1), ('b', 2), ('c', 3)]
+    assert k == sorted(cbook.sanitize_sequence(d.keys()))
+    assert v == sorted(cbook.sanitize_sequence(d.values()))
+    assert i == sorted(cbook.sanitize_sequence(d.items()))
+    assert i == cbook.sanitize_sequence(i)
+    assert k == cbook.sanitize_sequence(k)
+
+
+def test_resize_sequence():
+    a_list = [1, 2, 3]
+    arr = np.array([1, 2, 3])
+
+    # already same length: passthrough
+    assert cbook._resize_sequence(a_list, 3) is a_list
+    assert cbook._resize_sequence(arr, 3) is arr
+
+    # shortening
+    assert cbook._resize_sequence(a_list, 2) == [1, 2]
+    assert_array_equal(cbook._resize_sequence(arr, 2), [1, 2])
+
+    # extending
+    assert cbook._resize_sequence(a_list, 5) == [1, 2, 3, 1, 2]
+    assert_array_equal(cbook._resize_sequence(arr, 5), [1, 2, 3, 1, 2])
+
+
+fail_mapping: tuple[tuple[dict, dict], ...] = (
+    ({'a': 1, 'b': 2}, {'alias_mapping': {'a': ['b']}}),
+    ({'a': 1, 'b': 2}, {'alias_mapping': {'a': ['a', 'b']}}),
+)
+
+pass_mapping: tuple[tuple[Any, dict, dict], ...] = (
+    (None, {}, {}),
+    ({'a': 1, 'b': 2}, {'a': 1, 'b': 2}, {}),
+    ({'b': 2}, {'a': 2}, {'alias_mapping': {'a': ['a', 'b']}}),
+)
+
+
+@pytest.mark.parametrize('inp, kwargs_to_norm', fail_mapping)
+def test_normalize_kwargs_fail(inp, kwargs_to_norm):
+    with pytest.raises(TypeError), _api.suppress_matplotlib_deprecation_warning():
+        cbook.normalize_kwargs(inp, **kwargs_to_norm)
+
+
+@pytest.mark.parametrize('inp, expected, kwargs_to_norm',
+                         pass_mapping)
+def test_normalize_kwargs_pass(inp, expected, kwargs_to_norm):
+    with _api.suppress_matplotlib_deprecation_warning():
+        # No other warning should be emitted.
+        assert expected == cbook.normalize_kwargs(inp, **kwargs_to_norm)
+
+
+def test_warn_external(recwarn):
+    _api.warn_external("oops")
+    assert len(recwarn) == 1
+    if sys.version_info[:2] >= (3, 12):
+        # With Python 3.12, we let Python figure out the stacklevel using the
+        # `skip_file_prefixes` argument, which cannot exempt tests, so just confirm
+        # the filename is not in the package.
+        basedir = pathlib.Path(__file__).parents[2]
+        assert not recwarn[0].filename.startswith((str(basedir / 'matplotlib'),
+                                                   str(basedir / 'mpl_toolkits')))
+    else:
+        # On older Python versions, we manually calculated the stacklevel, and had an
+        # exception for our own tests.
+        assert recwarn[0].filename == __file__
+
+
+def test_warn_external_frame_embedded_python():
+    with patch.object(cbook, "sys") as mock_sys:
+        mock_sys._getframe = Mock(return_value=None)
+        with pytest.warns(UserWarning, match=r"\Adummy\Z"):
+            _api.warn_external("dummy")
+
+
+def test_to_prestep():
+    x = np.arange(4)
+    y1 = np.arange(4)
+    y2 = np.arange(4)[::-1]
+
+    xs, y1s, y2s = cbook.pts_to_prestep(x, y1, y2)
+
+    x_target = np.asarray([0, 0, 1, 1, 2, 2, 3], dtype=float)
+    y1_target = np.asarray([0, 1, 1, 2, 2, 3, 3], dtype=float)
+    y2_target = np.asarray([3, 2, 2, 1, 1, 0, 0], dtype=float)
+
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+    assert_array_equal(y2_target, y2s)
+
+    xs, y1s = cbook.pts_to_prestep(x, y1)
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+
+
+def test_to_prestep_empty():
+    steps = cbook.pts_to_prestep([], [])
+    assert steps.shape == (2, 0)
+
+
+def test_to_poststep():
+    x = np.arange(4)
+    y1 = np.arange(4)
+    y2 = np.arange(4)[::-1]
+
+    xs, y1s, y2s = cbook.pts_to_poststep(x, y1, y2)
+
+    x_target = np.asarray([0, 1, 1, 2, 2, 3, 3], dtype=float)
+    y1_target = np.asarray([0, 0, 1, 1, 2, 2, 3], dtype=float)
+    y2_target = np.asarray([3, 3, 2, 2, 1, 1, 0], dtype=float)
+
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+    assert_array_equal(y2_target, y2s)
+
+    xs, y1s = cbook.pts_to_poststep(x, y1)
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+
+
+def test_to_poststep_empty():
+    steps = cbook.pts_to_poststep([], [])
+    assert steps.shape == (2, 0)
+
+
+def test_to_midstep():
+    x = np.arange(4)
+    y1 = np.arange(4)
+    y2 = np.arange(4)[::-1]
+
+    xs, y1s, y2s = cbook.pts_to_midstep(x, y1, y2)
+
+    x_target = np.asarray([0, .5, .5, 1.5, 1.5, 2.5, 2.5, 3], dtype=float)
+    y1_target = np.asarray([0, 0, 1, 1, 2, 2, 3, 3], dtype=float)
+    y2_target = np.asarray([3, 3, 2, 2, 1, 1, 0, 0], dtype=float)
+
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+    assert_array_equal(y2_target, y2s)
+
+    xs, y1s = cbook.pts_to_midstep(x, y1)
+    assert_array_equal(x_target, xs)
+    assert_array_equal(y1_target, y1s)
+
+
+def test_to_midstep_empty():
+    steps = cbook.pts_to_midstep([], [])
+    assert steps.shape == (2, 0)
+
+
+@pytest.mark.parametrize(
+    "args",
+    [(np.arange(12).reshape(3, 4), 'a'),
+     (np.arange(12), 'a'),
+     (np.arange(12), np.arange(3))])
+def test_step_fails(args):
+    with pytest.raises(ValueError):
+        cbook.pts_to_prestep(*args)
+
+
+def test_grouper():
+    class Dummy:
+        pass
+    a, b, c, d, e = objs = [Dummy() for _ in range(5)]
+    g = cbook.Grouper()
+    g.join(*objs)
+    assert set(list(g)[0]) == set(objs)
+    assert set(g.get_siblings(a)) == set(objs)
+
+    for other in objs[1:]:
+        assert g.joined(a, other)
+
+    g.remove(a)
+    for other in objs[1:]:
+        assert not g.joined(a, other)
+
+    for A, B in itertools.product(objs[1:], objs[1:]):
+        assert g.joined(A, B)
+
+
+def test_grouper_private():
+    class Dummy:
+        pass
+    objs = [Dummy() for _ in range(5)]
+    g = cbook.Grouper()
+    g.join(*objs)
+    # reach in and touch the internals !
+    mapping = g._mapping
+
+    for o in objs:
+        assert o in mapping
+
+    base_set = mapping[objs[0]]
+    for o in objs[1:]:
+        assert mapping[o] is base_set
+
+
+def test_flatiter():
+    x = np.arange(5)
+    it = x.flat
+    assert 0 == next(it)
+    assert 1 == next(it)
+    ret = cbook._safe_first_finite(it)
+    assert ret == 0
+
+    assert 0 == next(it)
+    assert 1 == next(it)
+
+
+def test__safe_first_finite_all_nan():
+    arr = np.full(2, np.nan)
+    ret = cbook._safe_first_finite(arr)
+    assert np.isnan(ret)
+
+
+def test__safe_first_finite_all_inf():
+    arr = np.full(2, np.inf)
+    ret = cbook._safe_first_finite(arr)
+    assert np.isinf(ret)
+
+
+def test_reshape2d():
+
+    class Dummy:
+        pass
+
+    xnew = cbook._reshape_2D([], 'x')
+    assert np.shape(xnew) == (1, 0)
+
+    x = [Dummy() for _ in range(5)]
+
+    xnew = cbook._reshape_2D(x, 'x')
+    assert np.shape(xnew) == (1, 5)
+
+    x = np.arange(5)
+    xnew = cbook._reshape_2D(x, 'x')
+    assert np.shape(xnew) == (1, 5)
+
+    x = [[Dummy() for _ in range(5)] for _ in range(3)]
+    xnew = cbook._reshape_2D(x, 'x')
+    assert np.shape(xnew) == (3, 5)
+
+    # this is strange behaviour, but...
+    x = np.random.rand(3, 5)
+    xnew = cbook._reshape_2D(x, 'x')
+    assert np.shape(xnew) == (5, 3)
+
+    # Test a list of lists which are all of length 1
+    x = [[1], [2], [3]]
+    xnew = cbook._reshape_2D(x, 'x')
+    assert isinstance(xnew, list)
+    assert isinstance(xnew[0], np.ndarray) and xnew[0].shape == (1,)
+    assert isinstance(xnew[1], np.ndarray) and xnew[1].shape == (1,)
+    assert isinstance(xnew[2], np.ndarray) and xnew[2].shape == (1,)
+
+    # Test a list of zero-dimensional arrays
+    x = [np.array(0), np.array(1), np.array(2)]
+    xnew = cbook._reshape_2D(x, 'x')
+    assert isinstance(xnew, list)
+    assert len(xnew) == 1
+    assert isinstance(xnew[0], np.ndarray) and xnew[0].shape == (3,)
+
+    # Now test with a list of lists with different lengths, which means the
+    # array will internally be converted to a 1D object array of lists
+    x = [[1, 2, 3], [3, 4], [2]]
+    xnew = cbook._reshape_2D(x, 'x')
+    assert isinstance(xnew, list)
+    assert isinstance(xnew[0], np.ndarray) and xnew[0].shape == (3,)
+    assert isinstance(xnew[1], np.ndarray) and xnew[1].shape == (2,)
+    assert isinstance(xnew[2], np.ndarray) and xnew[2].shape == (1,)
+
+    # We now need to make sure that this works correctly for Numpy subclasses
+    # where iterating over items can return subclasses too, which may be
+    # iterable even if they are scalars. To emulate this, we make a Numpy
+    # array subclass that returns Numpy 'scalars' when iterating or accessing
+    # values, and these are technically iterable if checking for example
+    # isinstance(x, collections.abc.Iterable).
+
+    class ArraySubclass(np.ndarray):
+
+        def __iter__(self):
+            for value in super().__iter__():
+                yield np.array(value)
+
+        def __getitem__(self, item):
+            return np.array(super().__getitem__(item))
+
+    v = np.arange(10, dtype=float)
+    x = ArraySubclass((10,), dtype=float, buffer=v.data)
+
+    xnew = cbook._reshape_2D(x, 'x')
+
+    # We check here that the array wasn't split up into many individual
+    # ArraySubclass, which is what used to happen due to a bug in _reshape_2D
+    assert len(xnew) == 1
+    assert isinstance(xnew[0], ArraySubclass)
+
+    # check list of strings:
+    x = ['a', 'b', 'c', 'c', 'dd', 'e', 'f', 'ff', 'f']
+    xnew = cbook._reshape_2D(x, 'x')
+    assert len(xnew[0]) == len(x)
+    assert isinstance(xnew[0], np.ndarray)
+
+
+def test_reshape2d_pandas(pd):
+    # separate to allow the rest of the tests to run if no pandas...
+    X = np.arange(30).reshape(10, 3)
+    x = pd.DataFrame(X, columns=["a", "b", "c"])
+    Xnew = cbook._reshape_2D(x, 'x')
+    # Need to check each row because _reshape_2D returns a list of arrays:
+    for x, xnew in zip(X.T, Xnew):
+        np.testing.assert_array_equal(x, xnew)
+
+
+def test_reshape2d_xarray(xr):
+    # separate to allow the rest of the tests to run if no xarray...
+    X = np.arange(30).reshape(10, 3)
+    x = xr.DataArray(X, dims=["x", "y"])
+    Xnew = cbook._reshape_2D(x, 'x')
+    # Need to check each row because _reshape_2D returns a list of arrays:
+    for x, xnew in zip(X.T, Xnew):
+        np.testing.assert_array_equal(x, xnew)
+
+
+def test_index_of_pandas(pd):
+    # separate to allow the rest of the tests to run if no pandas...
+    X = np.arange(30).reshape(10, 3)
+    x = pd.DataFrame(X, columns=["a", "b", "c"])
+    Idx, Xnew = cbook.index_of(x)
+    np.testing.assert_array_equal(X, Xnew)
+    IdxRef = np.arange(10)
+    np.testing.assert_array_equal(Idx, IdxRef)
+
+
+def test_index_of_xarray(xr):
+    # separate to allow the rest of the tests to run if no xarray...
+    X = np.arange(30).reshape(10, 3)
+    x = xr.DataArray(X, dims=["x", "y"])
+    Idx, Xnew = cbook.index_of(x)
+    np.testing.assert_array_equal(X, Xnew)
+    IdxRef = np.arange(10)
+    np.testing.assert_array_equal(Idx, IdxRef)
+
+
+def test_contiguous_regions():
+    a, b, c = 3, 4, 5
+    # Starts and ends with True
+    mask = [True]*a + [False]*b + [True]*c
+    expected = [(0, a), (a+b, a+b+c)]
+    assert cbook.contiguous_regions(mask) == expected
+    d, e = 6, 7
+    # Starts with True ends with False
+    mask = mask + [False]*e
+    assert cbook.contiguous_regions(mask) == expected
+    # Starts with False ends with True
+    mask = [False]*d + mask[:-e]
+    expected = [(d, d+a), (d+a+b, d+a+b+c)]
+    assert cbook.contiguous_regions(mask) == expected
+    # Starts and ends with False
+    mask = mask + [False]*e
+    assert cbook.contiguous_regions(mask) == expected
+    # No True in mask
+    assert cbook.contiguous_regions([False]*5) == []
+    # Empty mask
+    assert cbook.contiguous_regions([]) == []
+
+
+def test_safe_first_element_pandas_series(pd):
+    # deliberately create a pandas series with index not starting from 0
+    s = pd.Series(range(5), index=range(10, 15))
+    actual = cbook._safe_first_finite(s)
+    assert actual == 0
+
+
+def test_array_patch_perimeters():
+    # This compares the old implementation as a reference for the
+    # vectorized one.
+    def check(x, rstride, cstride):
+        rows, cols = x.shape
+        row_inds = [*range(0, rows-1, rstride), rows-1]
+        col_inds = [*range(0, cols-1, cstride), cols-1]
+        polys = []
+        for rs, rs_next in itertools.pairwise(row_inds):
+            for cs, cs_next in itertools.pairwise(col_inds):
+                # +1 ensures we share edges between polygons
+                ps = cbook._array_perimeter(x[rs:rs_next+1, cs:cs_next+1]).T
+                polys.append(ps)
+        polys = np.asarray(polys)
+        assert np.array_equal(polys,
+                              cbook._array_patch_perimeters(
+                                  x, rstride=rstride, cstride=cstride))
+
+    def divisors(n):
+        return [i for i in range(1, n + 1) if n % i == 0]
+
+    for rows, cols in [(5, 5), (7, 14), (13, 9)]:
+        x = np.arange(rows * cols).reshape(rows, cols)
+        for rstride, cstride in itertools.product(divisors(rows - 1),
+                                                  divisors(cols - 1)):
+            check(x, rstride=rstride, cstride=cstride)
+
+
+def test_setattr_cm():
+    class A:
+        cls_level = object()
+        override = object()
+
+        def __init__(self):
+            self.aardvark = 'aardvark'
+            self.override = 'override'
+            self._p = 'p'
+
+        def meth(self):
+            ...
+
+        @classmethod
+        def classy(cls):
+            ...
+
+        @staticmethod
+        def static():
+            ...
+
+        @property
+        def prop(self):
+            return self._p
+
+        @prop.setter
+        def prop(self, val):
+            self._p = val
+
+    class B(A):
+        ...
+
+    other = A()
+
+    def verify_pre_post_state(obj):
+        # When you access a Python method the function is bound
+        # to the object at access time so you get a new instance
+        # of MethodType every time.
+        #
+        # https://docs.python.org/3/howto/descriptor.html#functions-and-methods
+        assert obj.meth is not obj.meth
+        # normal attribute should give you back the same instance every time
+        assert obj.aardvark is obj.aardvark
+        assert a.aardvark == 'aardvark'
+        # and our property happens to give the same instance every time
+        assert obj.prop is obj.prop
+        assert obj.cls_level is A.cls_level
+        assert obj.override == 'override'
+        assert not hasattr(obj, 'extra')
+        assert obj.prop == 'p'
+        assert obj.monkey == other.meth
+        assert obj.cls_level is A.cls_level
+        assert 'cls_level' not in obj.__dict__
+        assert 'classy' not in obj.__dict__
+        assert 'static' not in obj.__dict__
+
+    a = B()
+
+    a.monkey = other.meth
+    verify_pre_post_state(a)
+    with cbook._setattr_cm(
+            a, prop='squirrel',
+            aardvark='moose', meth=lambda: None,
+            override='boo', extra='extra',
+            monkey=lambda: None, cls_level='bob',
+            classy='classy', static='static'):
+        # because we have set a lambda, it is normal attribute access
+        # and the same every time
+        assert a.meth is a.meth
+        assert a.aardvark is a.aardvark
+        assert a.aardvark == 'moose'
+        assert a.override == 'boo'
+        assert a.extra == 'extra'
+        assert a.prop == 'squirrel'
+        assert a.monkey != other.meth
+        assert a.cls_level == 'bob'
+        assert a.classy == 'classy'
+        assert a.static == 'static'
+
+    verify_pre_post_state(a)
+
+
+def test_format_approx():
+    f = cbook._format_approx
+    assert f(0, 1) == '0'
+    assert f(0, 2) == '0'
+    assert f(0, 3) == '0'
+    assert f(-0.0123, 1) == '-0'
+    assert f(1e-7, 5) == '0'
+    assert f(0.0012345600001, 5) == '0.00123'
+    assert f(-0.0012345600001, 5) == '-0.00123'
+    assert f(0.0012345600001, 8) == f(0.0012345600001, 10) == '0.00123456'
+
+
+def test_safe_first_element_with_none():
+    datetime_lst = [date.today() + timedelta(days=i) for i in range(10)]
+    datetime_lst[0] = None
+    actual = cbook._safe_first_finite(datetime_lst)
+    assert actual is not None and actual == datetime_lst[1]
+
+
+def test_strip_math():
+    assert strip_math(r'1 \times 2') == r'1 \times 2'
+    assert strip_math(r'$1 \times 2$') == '1 x 2'
+    assert strip_math(r'$\rm{hi}$') == 'hi'
+
+
+@pytest.mark.parametrize('fmt, value, result', [
+    ('%.2f m', 0.2, '0.20 m'),
+    ('{:.2f} m', 0.2, '0.20 m'),
+    ('{} m', 0.2, '0.2 m'),
+    ('const', 0.2, 'const'),
+    ('%d or {}', 0.2, '0 or {}'),
+    ('{{{:,.0f}}}', 2e5, '{200,000}'),
+    ('{:.2%}', 2/3, '66.67%'),
+    ('$%g', 2.54, '$2.54'),
+])
+def test_auto_format_str(fmt, value, result):
+    """Apply *value* to the format string *fmt*."""
+    assert cbook._auto_format_str(fmt, value) == result
+    assert cbook._auto_format_str(fmt, np.float64(value)) == result
+
+
+def test_unpack_to_numpy_from_torch():
+    """
+    Test that torch tensors are converted to NumPy arrays.
+
+    We don't want to create a dependency on torch in the test suite, so we mock it.
+    """
+    class Tensor:
+        def __init__(self, data):
+            self.data = data
+
+        def __array__(self):
+            return self.data
+
+    torch = ModuleType('torch')
+    torch.Tensor = Tensor
+    sys.modules['torch'] = torch
+
+    data = np.arange(10)
+    torch_tensor = torch.Tensor(data)
+
+    result = cbook._unpack_to_numpy(torch_tensor)
+    assert isinstance(result, np.ndarray)
+    # compare results, do not check for identity: the latter would fail
+    # if not mocked, and the implementation does not guarantee it
+    # is the same Python object, just the same values.
+    assert_array_equal(result, data)
+
+
+def test_unpack_to_numpy_from_jax():
+    """
+    Test that jax arrays are converted to NumPy arrays.
+
+    We don't want to create a dependency on jax in the test suite, so we mock it.
+    """
+    class Array:
+        def __init__(self, data):
+            self.data = data
+
+        def __array__(self):
+            return self.data
+
+    jax = ModuleType('jax')
+    jax.Array = Array
+
+    sys.modules['jax'] = jax
+
+    data = np.arange(10)
+    jax_array = jax.Array(data)
+
+    result = cbook._unpack_to_numpy(jax_array)
+    assert isinstance(result, np.ndarray)
+    # compare results, do not check for identity: the latter would fail
+    # if not mocked, and the implementation does not guarantee it
+    # is the same Python object, just the same values.
+    assert_array_equal(result, data)
+
+
+def test_unpack_to_numpy_from_tensorflow():
+    """
+    Test that tensorflow arrays are converted to NumPy arrays.
+
+    We don't want to create a dependency on tensorflow in the test suite, so we mock it.
+    """
+    class Tensor:
+        def __init__(self, data):
+            self.data = data
+
+        def __array__(self):
+            return self.data
+
+    tensorflow = ModuleType('tensorflow')
+    tensorflow.is_tensor = lambda x: isinstance(x, Tensor)
+    tensorflow.Tensor = Tensor
+
+    sys.modules['tensorflow'] = tensorflow
+
+    data = np.arange(10)
+    tf_tensor = tensorflow.Tensor(data)
+
+    result = cbook._unpack_to_numpy(tf_tensor)
+    assert isinstance(result, np.ndarray)
+    # compare results, do not check for identity: the latter would fail
+    # if not mocked, and the implementation does not guarantee it
+    # is the same Python object, just the same values.
+    assert_array_equal(result, data)
diff --git a/lib/matplotlib/tests/test_coding_standards.py b/lib/matplotlib/tests/test_coding_standards.py
deleted file mode 100644
index 59413cadea47..000000000000
--- a/lib/matplotlib/tests/test_coding_standards.py
+++ /dev/null
@@ -1,290 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-from fnmatch import fnmatch
-import os
-
-from nose.tools import assert_equal
-from nose.plugins.skip import SkipTest
-from matplotlib.testing.noseclasses import KnownFailureTest
-
-try:
-    import pep8
-except ImportError:
-    HAS_PEP8 = False
-else:
-    HAS_PEP8 = pep8.__version__ > '1.4.5'
-
-import matplotlib
-
-
-PEP8_ADDITIONAL_IGNORE = ['E111',
-                          'E112',
-                          'E113',
-                          'E121',
-                          'E122',
-                          'E123',
-                          'E124',
-                          'E125',
-                          'E126',
-                          'E127',
-                          'E128',
-                          'E129',
-                          'E131',
-                          'E265']
-
-EXTRA_EXCLUDE_FILE = os.path.join(os.path.dirname(__file__),
-                                  '.pep8_test_exclude.txt')
-
-
-if HAS_PEP8:
-    class StandardReportWithExclusions(pep8.StandardReport):
-        #: A class attribute to store the exception exclusion file patterns.
-        expected_bad_files = []
-
-        #: A class attribute to store the lines of failing tests.
-        _global_deferred_print = []
-
-        #: A class attribute to store patterns which have seen exceptions.
-        matched_exclusions = set()
-
-        def get_file_results(self):
-            # If the file had no errors, return self.file_errors
-            # (which will be 0).
-            if not self._deferred_print:
-                return self.file_errors
-
-            # Iterate over all of the patterns, to find a possible exclusion.
-            # If the filename is to be excluded, go ahead and remove the
-            # counts that self.error added.
-            for pattern in self.expected_bad_files:
-                if fnmatch(self.filename, pattern):
-                    self.matched_exclusions.add(pattern)
-                    # invert the error method's counters.
-                    for _, _, code, _, _ in self._deferred_print:
-                        self.counters[code] -= 1
-                        if self.counters[code] == 0:
-                            self.counters.pop(code)
-                            self.messages.pop(code)
-                        self.file_errors -= 1
-                        self.total_errors -= 1
-                    return self.file_errors
-
-            # mirror the content of StandardReport, only storing the output to
-            # file rather than printing. This could be a feature request for
-            # the PEP8 tool.
-            self._deferred_print.sort()
-            for line_number, offset, code, text, _ in self._deferred_print:
-                self._global_deferred_print.append(
-                    self._fmt % {'path': self.filename,
-                                 'row': self.line_offset + line_number,
-                                 'col': offset + 1, 'code': code,
-                                 'text': text})
-            return self.file_errors
-
-
-def assert_pep8_conformance(module=matplotlib, exclude_files=None,
-                            extra_exclude_file=EXTRA_EXCLUDE_FILE,
-                            pep8_additional_ignore=PEP8_ADDITIONAL_IGNORE,
-                            dirname=None, expected_bad_files=None,
-                            extra_exclude_directories=None):
-    """
-    Tests the matplotlib codebase against the "pep8" tool.
-
-    Users can add their own excluded files (should files exist in the
-    local directory which is not in the repository) by adding a
-    ".pep8_test_exclude.txt" file in the same directory as this test.
-    The file should be a line separated list of filenames/directories
-    as can be passed to the "pep8" tool's exclude list.
-    """
-
-    if not HAS_PEP8:
-        raise SkipTest('The pep8 tool is required for this test')
-
-    # to get a list of bad files, rather than the specific errors, add
-    # "reporter=pep8.FileReport" to the StyleGuide constructor.
-    pep8style = pep8.StyleGuide(quiet=False,
-                                reporter=StandardReportWithExclusions)
-    reporter = pep8style.options.reporter
-
-    if expected_bad_files is not None:
-        reporter.expected_bad_files = expected_bad_files
-
-    # Extend the number of PEP8 guidelines which are not checked.
-    pep8style.options.ignore = (pep8style.options.ignore +
-                                tuple(pep8_additional_ignore))
-
-    # Support for egg shared object wrappers, which are not PEP8 compliant,
-    # nor part of the matplotlib repository.
-    # DO NOT ADD FILES *IN* THE REPOSITORY TO THIS LIST.
-    if exclude_files is not None:
-        pep8style.options.exclude.extend(exclude_files)
-
-    # Allow users to add their own exclude list.
-    if extra_exclude_file is not None and os.path.exists(extra_exclude_file):
-        with open(extra_exclude_file, 'r') as fh:
-            extra_exclude = [line.strip() for line in fh if line.strip()]
-        pep8style.options.exclude.extend(extra_exclude)
-
-    if extra_exclude_directories:
-        pep8style.options.exclude.extend(extra_exclude_directories)
-
-    if dirname is None:
-        dirname = os.path.dirname(module.__file__)
-    result = pep8style.check_files([dirname])
-    if reporter is StandardReportWithExclusions:
-        msg = ("Found code syntax errors (and warnings):\n"
-               "{0}".format('\n'.join(reporter._global_deferred_print)))
-    else:
-        msg = "Found code syntax errors (and warnings)."
-    assert_equal(result.total_errors, 0, msg)
-
-    # If we've been using the exclusions reporter, check that we didn't
-    # exclude files unnecessarily.
-    if reporter is StandardReportWithExclusions:
-        unexpectedly_good = sorted(set(reporter.expected_bad_files) -
-                                   reporter.matched_exclusions)
-
-        if unexpectedly_good:
-            raise ValueError('Some exclude patterns were unnecessary as the '
-                             'files they pointed to either passed the PEP8 '
-                             'tests or do not point to a file:\n  '
-                             '{}'.format('\n  '.join(unexpectedly_good)))
-
-
-def test_pep8_conformance_installed_files():
-    exclude_files = ['_delaunay.py',
-                     '_image.py',
-                     '_tri.py',
-                     '_backend_agg.py',
-                     '_tkagg.py',
-                     'ft2font.py',
-                     '_cntr.py',
-                     '_png.py',
-                     '_path.py',
-                     'ttconv.py',
-                     '_gtkagg.py',
-                     '_backend_gdk.py',
-                     'pyparsing*',
-                     '_qhull.py',
-                     '_macosx.py']
-
-    expected_bad_files = ['_cm.py',
-                          '_mathtext_data.py',
-                          'backend_bases.py',
-                          'cbook.py',
-                          'collections.py',
-                          'dviread.py',
-                          'font_manager.py',
-                          'fontconfig_pattern.py',
-                          'gridspec.py',
-                          'legend_handler.py',
-                          'mathtext.py',
-                          'patheffects.py',
-                          'pylab.py',
-                          'pyplot.py',
-                          'rcsetup.py',
-                          'stackplot.py',
-                          'texmanager.py',
-                          'transforms.py',
-                          'type1font.py',
-                          'widgets.py',
-                          'testing/decorators.py',
-                          'testing/image_util.py',
-                          'testing/noseclasses.py',
-                          'testing/jpl_units/Duration.py',
-                          'testing/jpl_units/Epoch.py',
-                          'testing/jpl_units/EpochConverter.py',
-                          'testing/jpl_units/StrConverter.py',
-                          'testing/jpl_units/UnitDbl.py',
-                          'testing/jpl_units/UnitDblConverter.py',
-                          'testing/jpl_units/UnitDblFormatter.py',
-                          'testing/jpl_units/__init__.py',
-                          'tri/triinterpolate.py',
-                          'tests/test_axes.py',
-                          'tests/test_bbox_tight.py',
-                          'tests/test_delaunay.py',
-                          'tests/test_dviread.py',
-                          'tests/test_image.py',
-                          'tests/test_legend.py',
-                          'tests/test_lines.py',
-                          'tests/test_mathtext.py',
-                          'tests/test_rcparams.py',
-                          'tests/test_simplification.py',
-                          'tests/test_spines.py',
-                          'tests/test_streamplot.py',
-                          'tests/test_subplots.py',
-                          'tests/test_text.py',
-                          'tests/test_tightlayout.py',
-                          'tests/test_transforms.py',
-                          'tests/test_triangulation.py',
-                          'compat/subprocess.py',
-                          'backends/__init__.py',
-                          'backends/backend_agg.py',
-                          'backends/backend_cairo.py',
-                          'backends/backend_cocoaagg.py',
-                          'backends/backend_gdk.py',
-                          'backends/backend_gtk.py',
-                          'backends/backend_gtk3.py',
-                          'backends/backend_gtk3cairo.py',
-                          'backends/backend_gtkagg.py',
-                          'backends/backend_gtkcairo.py',
-                          'backends/backend_macosx.py',
-                          'backends/backend_mixed.py',
-                          'backends/backend_pgf.py',
-                          'backends/backend_ps.py',
-                          'backends/backend_svg.py',
-                          'backends/backend_template.py',
-                          'backends/backend_tkagg.py',
-                          'backends/backend_wx.py',
-                          'backends/backend_wxagg.py',
-                          'backends/tkagg.py',
-                          'backends/windowing.py',
-                          'backends/qt_editor/formlayout.py',
-                          'sphinxext/ipython_console_highlighting.py',
-                          'sphinxext/ipython_directive.py',
-                          'sphinxext/mathmpl.py',
-                          'sphinxext/only_directives.py',
-                          'sphinxext/plot_directive.py',
-                          'projections/__init__.py',
-                          'projections/geo.py',
-                          'projections/polar.py']
-    expected_bad_files = ['*/matplotlib/' + s for s in expected_bad_files]
-    assert_pep8_conformance(module=matplotlib,
-                            exclude_files=exclude_files,
-                            expected_bad_files=expected_bad_files)
-
-
-def test_pep8_conformance_examples():
-    mpldir = os.environ.get('MPL_REPO_DIR', None)
-    if mpldir is None:
-        # try and guess!
-        fp = os.getcwd()
-        while len(fp) > 2:
-            if os.path.isdir(os.path.join(fp, 'examples')):
-                mpldir = fp
-                break
-            fp, tail = os.path.split(fp)
-
-    if mpldir is None:
-        raise KnownFailureTest("can not find the examples, set env "
-                               "MPL_REPO_DIR to point to the top-level path "
-                               "of the source tree")
-
-    exdir = os.path.join(mpldir, 'examples')
-    blacklist = ()
-    expected_bad_files = ['*/pylab_examples/table_demo.py',
-                          '*/pylab_examples/tricontour_demo.py',
-                          '*/pylab_examples/tripcolor_demo.py',
-                          '*/pylab_examples/triplot_demo.py',
-                          '*/shapes_and_collections/artist_reference.py']
-    assert_pep8_conformance(dirname=exdir,
-                            extra_exclude_directories=blacklist,
-                            pep8_additional_ignore=PEP8_ADDITIONAL_IGNORE +
-                            ['E116', 'E501'],
-                            expected_bad_files=expected_bad_files)
-
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
diff --git a/lib/matplotlib/tests/test_collections.py b/lib/matplotlib/tests/test_collections.py
index e4e709ffc0f0..642e5829a7b5 100644
--- a/lib/matplotlib/tests/test_collections.py
+++ b/lib/matplotlib/tests/test_collections.py
@@ -1,26 +1,33 @@
-"""
-Tests specific to the collections module.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from datetime import datetime
+import io
+import itertools
+import platform
+import re
+from types import SimpleNamespace
 
-import six
-
-from nose.tools import assert_equal
 import numpy as np
 from numpy.testing import assert_array_equal, assert_array_almost_equal
+import pytest
 
+import matplotlib as mpl
 import matplotlib.pyplot as plt
 import matplotlib.collections as mcollections
+import matplotlib.colors as mcolors
+import matplotlib.path as mpath
 import matplotlib.transforms as mtransforms
-from matplotlib.collections import EventCollection
-from matplotlib.testing.decorators import cleanup, image_comparison
+from matplotlib.collections import (Collection, LineCollection,
+                                    EventCollection, PolyCollection)
+from matplotlib.collections import FillBetweenPolyCollection
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+
+
+@pytest.fixture(params=["pcolormesh", "pcolor"])
+def pcfunc(request):
+    return request.param
 
 
 def generate_EventCollection_plot():
-    '''
-    generate the initial collection and plot it
-    '''
+    """Generate the initial collection and plot it."""
     positions = np.array([0., 1., 2., 3., 5., 8., 13., 21.])
     extra_positions = np.array([34., 55., 89.])
     orientation = 'horizontal'
@@ -41,10 +48,9 @@ def generate_EventCollection_plot():
                            antialiased=antialiased
                            )
 
-    fig = plt.figure()
-    splt = fig.add_subplot(1, 1, 1)
-    splt.add_collection(coll)
-    splt.set_title('EventCollection: default')
+    fig, ax = plt.subplots()
+    ax.add_collection(coll)
+    ax.set_title('EventCollection: default')
     props = {'positions': positions,
              'extra_positions': extra_positions,
              'orientation': orientation,
@@ -55,95 +61,39 @@ def generate_EventCollection_plot():
              'linestyle': linestyle,
              'antialiased': antialiased
              }
-    splt.set_xlim(-1, 22)
-    splt.set_ylim(0, 2)
-    return splt, coll, props
+    ax.set_xlim(-1, 22)
+    ax.set_ylim(0, 2)
+    return ax, coll, props
 
 
-@image_comparison(baseline_images=['EventCollection_plot__default'])
-def test__EventCollection__get_segments():
-    '''
-    check to make sure the default segments have the correct coordinates
-    '''
+@image_comparison(['EventCollection_plot__default.png'])
+def test__EventCollection__get_props():
     _, coll, props = generate_EventCollection_plot()
+    # check that the default segments have the correct coordinates
     check_segments(coll,
                    props['positions'],
                    props['linelength'],
                    props['lineoffset'],
                    props['orientation'])
-
-
-@cleanup
-def test__EventCollection__get_positions():
-    '''
-    check to make sure the default positions match the input positions
-    '''
-    _, coll, props = generate_EventCollection_plot()
+    # check that the default positions match the input positions
     np.testing.assert_array_equal(props['positions'], coll.get_positions())
-
-
-@cleanup
-def test__EventCollection__get_orientation():
-    '''
-    check to make sure the default orientation matches the input
-    orientation
-    '''
-    _, coll, props = generate_EventCollection_plot()
-    assert_equal(props['orientation'], coll.get_orientation())
-
-
-@cleanup
-def test__EventCollection__is_horizontal():
-    '''
-    check to make sure the default orientation matches the input
-    orientation
-    '''
-    _, coll, _ = generate_EventCollection_plot()
-    assert_equal(True, coll.is_horizontal())
-
-
-@cleanup
-def test__EventCollection__get_linelength():
-    '''
-    check to make sure the default linelength matches the input linelength
-    '''
-    _, coll, props = generate_EventCollection_plot()
-    assert_equal(props['linelength'], coll.get_linelength())
-
-
-@cleanup
-def test__EventCollection__get_lineoffset():
-    '''
-    check to make sure the default lineoffset matches the input lineoffset
-    '''
-    _, coll, props = generate_EventCollection_plot()
-    assert_equal(props['lineoffset'], coll.get_lineoffset())
-
-
-@cleanup
-def test__EventCollection__get_linestyle():
-    '''
-    check to make sure the default linestyle matches the input linestyle
-    '''
-    _, coll, _ = generate_EventCollection_plot()
-    assert_equal(coll.get_linestyle(), [(None, None)])
-
-
-@cleanup
-def test__EventCollection__get_color():
-    '''
-    check to make sure the default color matches the input color
-    '''
-    _, coll, props = generate_EventCollection_plot()
-    np.testing.assert_array_equal(props['color'], coll.get_color())
-    check_allprop_array(coll.get_colors(), props['color'])
-
-
-@image_comparison(baseline_images=['EventCollection_plot__set_positions'])
+    # check that the default orientation matches the input orientation
+    assert props['orientation'] == coll.get_orientation()
+    # check that the default orientation matches the input orientation
+    assert coll.is_horizontal()
+    # check that the default linelength matches the input linelength
+    assert props['linelength'] == coll.get_linelength()
+    # check that the default lineoffset matches the input lineoffset
+    assert props['lineoffset'] == coll.get_lineoffset()
+    # check that the default linestyle matches the input linestyle
+    assert coll.get_linestyle() == [(0, None)]
+    # check that the default color matches the input color
+    for color in [coll.get_color(), *coll.get_colors()]:
+        np.testing.assert_array_equal(color, props['color'])
+
+
+@image_comparison(['EventCollection_plot__set_positions.png'])
 def test__EventCollection__set_positions():
-    '''
-    check to make sure set_positions works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_positions = np.hstack([props['positions'], props['extra_positions']])
     coll.set_positions(new_positions)
@@ -156,15 +106,14 @@ def test__EventCollection__set_positions():
     splt.set_xlim(-1, 90)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__add_positions'])
+@image_comparison(['EventCollection_plot__add_positions.png'])
 def test__EventCollection__add_positions():
-    '''
-    check to make sure add_positions works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_positions = np.hstack([props['positions'],
                                props['extra_positions'][0]])
+    coll.switch_orientation()  # Test adding in the vertical orientation, too.
     coll.add_positions(props['extra_positions'][0])
+    coll.switch_orientation()
     np.testing.assert_array_equal(new_positions, coll.get_positions())
     check_segments(coll,
                    new_positions,
@@ -175,11 +124,8 @@ def test__EventCollection__add_positions():
     splt.set_xlim(-1, 35)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__append_positions'])
+@image_comparison(['EventCollection_plot__append_positions.png'])
 def test__EventCollection__append_positions():
-    '''
-    check to make sure append_positions works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_positions = np.hstack([props['positions'],
                                props['extra_positions'][2]])
@@ -194,11 +140,8 @@ def test__EventCollection__append_positions():
     splt.set_xlim(-1, 90)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__extend_positions'])
+@image_comparison(['EventCollection_plot__extend_positions.png'])
 def test__EventCollection__extend_positions():
-    '''
-    check to make sure extend_positions works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_positions = np.hstack([props['positions'],
                                props['extra_positions'][1:]])
@@ -213,16 +156,13 @@ def test__EventCollection__extend_positions():
     splt.set_xlim(-1, 90)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__switch_orientation'])
+@image_comparison(['EventCollection_plot__switch_orientation.png'])
 def test__EventCollection__switch_orientation():
-    '''
-    check to make sure switch_orientation works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_orientation = 'vertical'
     coll.switch_orientation()
-    assert_equal(new_orientation, coll.get_orientation())
-    assert_equal(False, coll.is_horizontal())
+    assert new_orientation == coll.get_orientation()
+    assert not coll.is_horizontal()
     new_positions = coll.get_positions()
     check_segments(coll,
                    new_positions,
@@ -233,19 +173,18 @@ def test__EventCollection__switch_orientation():
     splt.set_xlim(0, 2)
 
 
-@image_comparison(
-    baseline_images=['EventCollection_plot__switch_orientation__2x'])
+@image_comparison(['EventCollection_plot__switch_orientation__2x.png'])
 def test__EventCollection__switch_orientation_2x():
-    '''
-    check to make sure calling switch_orientation twice sets the
-    orientation back to the default
-    '''
+    """
+    Check that calling switch_orientation twice sets the orientation back to
+    the default.
+    """
     splt, coll, props = generate_EventCollection_plot()
     coll.switch_orientation()
     coll.switch_orientation()
     new_positions = coll.get_positions()
-    assert_equal(props['orientation'], coll.get_orientation())
-    assert_equal(True, coll.is_horizontal())
+    assert props['orientation'] == coll.get_orientation()
+    assert coll.is_horizontal()
     np.testing.assert_array_equal(props['positions'], new_positions)
     check_segments(coll,
                    new_positions,
@@ -255,16 +194,13 @@ def test__EventCollection__switch_orientation_2x():
     splt.set_title('EventCollection: switch_orientation 2x')
 
 
-@image_comparison(baseline_images=['EventCollection_plot__set_orientation'])
+@image_comparison(['EventCollection_plot__set_orientation.png'])
 def test__EventCollection__set_orientation():
-    '''
-    check to make sure set_orientation works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_orientation = 'vertical'
     coll.set_orientation(new_orientation)
-    assert_equal(new_orientation, coll.get_orientation())
-    assert_equal(False, coll.is_horizontal())
+    assert new_orientation == coll.get_orientation()
+    assert not coll.is_horizontal()
     check_segments(coll,
                    props['positions'],
                    props['linelength'],
@@ -275,15 +211,12 @@ def test__EventCollection__set_orientation():
     splt.set_xlim(0, 2)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__set_linelength'])
+@image_comparison(['EventCollection_plot__set_linelength.png'])
 def test__EventCollection__set_linelength():
-    '''
-    check to make sure set_linelength works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_linelength = 15
     coll.set_linelength(new_linelength)
-    assert_equal(new_linelength, coll.get_linelength())
+    assert new_linelength == coll.get_linelength()
     check_segments(coll,
                    props['positions'],
                    new_linelength,
@@ -293,15 +226,12 @@ def test__EventCollection__set_linelength():
     splt.set_ylim(-20, 20)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__set_lineoffset'])
+@image_comparison(['EventCollection_plot__set_lineoffset.png'])
 def test__EventCollection__set_lineoffset():
-    '''
-    check to make sure set_lineoffset works properly
-    '''
     splt, coll, props = generate_EventCollection_plot()
     new_lineoffset = -5.
     coll.set_lineoffset(new_lineoffset)
-    assert_equal(new_lineoffset, coll.get_lineoffset())
+    assert new_lineoffset == coll.get_lineoffset()
     check_segments(coll,
                    props['positions'],
                    props['linelength'],
@@ -311,50 +241,38 @@ def test__EventCollection__set_lineoffset():
     splt.set_ylim(-6, -4)
 
 
-@image_comparison(baseline_images=['EventCollection_plot__set_linestyle'])
-def test__EventCollection__set_linestyle():
-    '''
-    check to make sure set_linestyle works properly
-    '''
-    splt, coll, _ = generate_EventCollection_plot()
-    new_linestyle = 'dashed'
-    coll.set_linestyle(new_linestyle)
-    assert_equal(coll.get_linestyle(), [(0, (6.0, 6.0))])
-    splt.set_title('EventCollection: set_linestyle')
-
-
-@image_comparison(baseline_images=['EventCollection_plot__set_linewidth'])
-def test__EventCollection__set_linewidth():
-    '''
-    check to make sure set_linestyle works properly
-    '''
-    splt, coll, _ = generate_EventCollection_plot()
-    new_linewidth = 5
-    coll.set_linewidth(new_linewidth)
-    assert_equal(coll.get_linewidth(), new_linewidth)
-    splt.set_title('EventCollection: set_linewidth')
-
-
-@image_comparison(baseline_images=['EventCollection_plot__set_color'])
+@image_comparison([
+    'EventCollection_plot__set_linestyle.png',
+    'EventCollection_plot__set_linestyle.png',
+    'EventCollection_plot__set_linewidth.png',
+])
+def test__EventCollection__set_prop():
+    for prop, value, expected in [
+            ('linestyle', 'dashed', [(0, (6.0, 6.0))]),
+            ('linestyle', (0, (6., 6.)), [(0, (6.0, 6.0))]),
+            ('linewidth', 5, 5),
+    ]:
+        splt, coll, _ = generate_EventCollection_plot()
+        coll.set(**{prop: value})
+        assert plt.getp(coll, prop) == expected
+        splt.set_title(f'EventCollection: set_{prop}')
+
+
+@image_comparison(['EventCollection_plot__set_color.png'])
 def test__EventCollection__set_color():
-    '''
-    check to make sure set_color works properly
-    '''
     splt, coll, _ = generate_EventCollection_plot()
     new_color = np.array([0, 1, 1, 1])
     coll.set_color(new_color)
-    np.testing.assert_array_equal(new_color, coll.get_color())
-    check_allprop_array(coll.get_colors(), new_color)
+    for color in [coll.get_color(), *coll.get_colors()]:
+        np.testing.assert_array_equal(color, new_color)
     splt.set_title('EventCollection: set_color')
 
 
 def check_segments(coll, positions, linelength, lineoffset, orientation):
-    '''
-    check to make sure all values in the segment are correct, given a
-    particular set of inputs
-
-    note: this is not a test, it is used by tests
-    '''
+    """
+    Test helper checking that all values in the segment are correct, given a
+    particular set of inputs.
+    """
     segments = coll.get_segments()
     if (orientation.lower() == 'horizontal'
             or orientation.lower() == 'none' or orientation is None):
@@ -370,30 +288,20 @@ def check_segments(coll, positions, linelength, lineoffset, orientation):
 
     # test to make sure each segment is correct
     for i, segment in enumerate(segments):
-        assert_equal(segment[0, pos1], lineoffset + linelength / 2.)
-        assert_equal(segment[1, pos1], lineoffset - linelength / 2.)
-        assert_equal(segment[0, pos2], positions[i])
-        assert_equal(segment[1, pos2], positions[i])
-
-
-def check_allprop(values, target):
-    '''
-    check to make sure all values match the given target
-
-    note: this is not a test, it is used by tests
-    '''
-    for value in values:
-        assert_equal(value, target)
+        assert segment[0, pos1] == lineoffset + linelength / 2
+        assert segment[1, pos1] == lineoffset - linelength / 2
+        assert segment[0, pos2] == positions[i]
+        assert segment[1, pos2] == positions[i]
 
 
-def check_allprop_array(values, target):
-    '''
-    check to make sure all values match the given target if arrays
-
-    note: this is not a test, it is used by tests
-    '''
-    for value in values:
-        np.testing.assert_array_equal(value, target)
+def test_collection_norm_autoscale():
+    # norm should be autoscaled when array is set, not deferred to draw time
+    lines = np.arange(24).reshape((4, 3, 2))
+    coll = mcollections.LineCollection(lines, array=np.arange(4))
+    assert coll.norm(2) == 2 / 3
+    # setting a new array shouldn't update the already scaled limits
+    coll.set_array(np.arange(4) + 5)
+    assert coll.norm(2) == 2 / 3
 
 
 def test_null_collection_datalim():
@@ -403,28 +311,60 @@ def test_null_collection_datalim():
                        mtransforms.Bbox.null().get_points())
 
 
-@cleanup
+def test_no_offsets_datalim():
+    # A collection with no offsets and a non transData
+    # transform should return a null bbox
+    ax = plt.axes()
+    coll = mcollections.PathCollection([mpath.Path([(0, 0), (1, 0)])])
+    ax.add_collection(coll)
+    coll_data_lim = coll.get_datalim(mtransforms.IdentityTransform())
+    assert_array_equal(coll_data_lim.get_points(),
+                       mtransforms.Bbox.null().get_points())
+
+
 def test_add_collection():
     # Test if data limits are unchanged by adding an empty collection.
-    # Github issue #1490, pull #1497.
-    ax = plt.axes()
+    # GitHub issue #1490, pull #1497.
     plt.figure()
-    ax2 = plt.axes()
-    coll = ax2.scatter([0, 1], [0, 1])
-    ax.add_collection(coll)
+    ax = plt.axes()
+    ax.scatter([0, 1], [0, 1])
     bounds = ax.dataLim.bounds
-    coll = ax2.scatter([], [])
-    ax.add_collection(coll)
-    assert_equal(ax.dataLim.bounds, bounds)
+    ax.scatter([], [])
+    assert ax.dataLim.bounds == bounds
+
+
+@mpl.style.context('mpl20')
+@check_figures_equal()
+def test_collection_log_datalim(fig_test, fig_ref):
+    # Data limits should respect the minimum x/y when using log scale.
+    x_vals = [4.38462e-6, 5.54929e-6, 7.02332e-6, 8.88889e-6, 1.12500e-5,
+              1.42383e-5, 1.80203e-5, 2.28070e-5, 2.88651e-5, 3.65324e-5,
+              4.62363e-5, 5.85178e-5, 7.40616e-5, 9.37342e-5, 1.18632e-4]
+    y_vals = [0.0, 0.1, 0.182, 0.332, 0.604, 1.1, 2.0, 3.64, 6.64, 12.1, 22.0,
+              39.6, 71.3]
+
+    x, y = np.meshgrid(x_vals, y_vals)
+    x = x.flatten()
+    y = y.flatten()
+
+    ax_test = fig_test.subplots()
+    ax_test.set_xscale('log')
+    ax_test.set_yscale('log')
+    ax_test.margins = 0
+    ax_test.scatter(x, y)
+
+    ax_ref = fig_ref.subplots()
+    ax_ref.set_xscale('log')
+    ax_ref.set_yscale('log')
+    ax_ref.plot(x, y, marker="o", ls="")
 
 
-@cleanup
 def test_quiver_limits():
     ax = plt.axes()
     x, y = np.arange(8), np.arange(10)
-    data = u = v = np.linspace(0, 10, 80).reshape(10, 8)
+    u = v = np.linspace(0, 10, 80).reshape(10, 8)
     q = plt.quiver(x, y, u, v)
-    assert_equal(q.get_datalim(ax.transData).bounds, (0., 0., 7., 9.))
+    assert q.get_datalim(ax.transData).bounds == (0., 0., 7., 9.)
 
     plt.figure()
     ax = plt.axes()
@@ -433,10 +373,9 @@ def test_quiver_limits():
     y, x = np.meshgrid(y, x)
     trans = mtransforms.Affine2D().translate(25, 32) + ax.transData
     plt.quiver(x, y, np.sin(x), np.cos(y), transform=trans)
-    assert_equal(ax.dataLim.bounds, (20.0, 30.0, 15.0, 6.0))
+    assert ax.dataLim.bounds == (20.0, 30.0, 15.0, 6.0)
 
 
-@cleanup
 def test_barb_limits():
     ax = plt.axes()
     x = np.linspace(-5, 10, 20)
@@ -451,9 +390,8 @@ def test_barb_limits():
                               decimal=1)
 
 
-@image_comparison(baseline_images=['EllipseCollection_test_image'],
-                  extensions=['png'],
-                  remove_text=True)
+@image_comparison(['EllipseCollection_test_image.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.021)
 def test_EllipseCollection():
     # Test basic functionality
     fig, ax = plt.subplots()
@@ -462,23 +400,64 @@ def test_EllipseCollection():
     X, Y = np.meshgrid(x, y)
     XY = np.vstack((X.ravel(), Y.ravel())).T
 
-    ww = X/float(x[-1])
-    hh = Y/float(y[-1])
+    ww = X / x[-1]
+    hh = Y / y[-1]
     aa = np.ones_like(ww) * 20  # first axis is 20 degrees CCW from x axis
 
-    ec = mcollections.EllipseCollection(ww, hh, aa,
-                                        units='x',
-                                        offsets=XY,
-                                        transOffset=ax.transData,
-                                        facecolors='none')
+    ec = mcollections.EllipseCollection(
+        ww, hh, aa, units='x', offsets=XY, offset_transform=ax.transData,
+        facecolors='none')
     ax.add_collection(ec)
     ax.autoscale_view()
 
 
-@image_comparison(baseline_images=['polycollection_close'],
-                  extensions=['png'], remove_text=True)
+def test_EllipseCollection_setter_getter():
+    # Test widths, heights and angle setter
+    rng = np.random.default_rng(0)
+
+    widths = (2, )
+    heights = (3, )
+    angles = (45, )
+    offsets = rng.random((10, 2)) * 10
+
+    fig, ax = plt.subplots()
+
+    ec = mcollections.EllipseCollection(
+        widths=widths,
+        heights=heights,
+        angles=angles,
+        offsets=offsets,
+        units='x',
+        offset_transform=ax.transData,
+        )
+
+    assert_array_almost_equal(ec._widths, np.array(widths).ravel() * 0.5)
+    assert_array_almost_equal(ec._heights, np.array(heights).ravel() * 0.5)
+    assert_array_almost_equal(ec._angles, np.deg2rad(angles).ravel())
+
+    assert_array_almost_equal(ec.get_widths(), widths)
+    assert_array_almost_equal(ec.get_heights(), heights)
+    assert_array_almost_equal(ec.get_angles(), angles)
+
+    ax.add_collection(ec)
+    ax.set_xlim(-2, 12)
+    ax.set_ylim(-2, 12)
+
+    new_widths = rng.random((10, 2)) * 2
+    new_heights = rng.random((10, 2)) * 3
+    new_angles = rng.random((10, 2)) * 180
+
+    ec.set(widths=new_widths, heights=new_heights, angles=new_angles)
+
+    assert_array_almost_equal(ec.get_widths(), new_widths.ravel())
+    assert_array_almost_equal(ec.get_heights(), new_heights.ravel())
+    assert_array_almost_equal(ec.get_angles(), new_angles.ravel())
+
+
+@image_comparison(['polycollection_close.png'], remove_text=True, style='mpl20')
 def test_polycollection_close():
-    from mpl_toolkits.mplot3d import Axes3D
+    from mpl_toolkits.mplot3d import Axes3D  # type: ignore[import]
+    plt.rcParams['axes3d.automargin'] = True
 
     vertsQuad = [
         [[0., 0.], [0., 1.], [1., 1.], [1., 0.]],
@@ -487,7 +466,7 @@ def test_polycollection_close():
         [[3., 0.], [3., 1.], [4., 1.], [4., 0.]]]
 
     fig = plt.figure()
-    ax = Axes3D(fig)
+    ax = fig.add_axes(Axes3D(fig))
 
     colors = ['r', 'g', 'b', 'y', 'k']
     zpos = list(range(5))
@@ -496,7 +475,7 @@ def test_polycollection_close():
         vertsQuad * len(zpos), linewidth=0.25)
     poly.set_alpha(0.7)
 
-    ## need to have a z-value for *each* polygon = element!
+    # need to have a z-value for *each* polygon = element!
     zs = []
     cs = []
     for z, c in zip(zpos, colors):
@@ -507,14 +486,35 @@ def test_polycollection_close():
 
     ax.add_collection3d(poly, zs=zs, zdir='y')
 
-    ## axis limit settings:
+    # axis limit settings:
     ax.set_xlim3d(0, 4)
     ax.set_zlim3d(0, 3)
     ax.set_ylim3d(0, 4)
 
 
-@image_comparison(baseline_images=['regularpolycollection_rotate'],
-                  extensions=['png'], remove_text=True)
+@check_figures_equal(extensions=["png"])
+def test_scalarmap_change_cmap(fig_test, fig_ref):
+    # Ensure that changing the colormap of a 3D scatter after draw updates the colors.
+
+    x, y, z = np.array(list(itertools.product(
+        np.arange(0, 5, 1),
+        np.arange(0, 5, 1),
+        np.arange(0, 5, 1)
+    ))).T
+    c = x + y
+
+    # test
+    ax_test = fig_test.add_subplot(111, projection='3d')
+    sc_test = ax_test.scatter(x, y, z, c=c, s=40, cmap='jet')
+    fig_test.canvas.draw()
+    sc_test.set_cmap('viridis')
+
+    # ref
+    ax_ref = fig_ref.add_subplot(111, projection='3d')
+    ax_ref.scatter(x, y, z, c=c, s=40, cmap='viridis')
+
+
+@image_comparison(['regularpolycollection_rotate.png'], remove_text=True)
 def test_regularpolycollection_rotate():
     xx, yy = np.mgrid[:10, :10]
     xy_points = np.transpose([xx.flatten(), yy.flatten()])
@@ -524,11 +524,1012 @@ def test_regularpolycollection_rotate():
     for xy, alpha in zip(xy_points, rotations):
         col = mcollections.RegularPolyCollection(
             4, sizes=(100,), rotation=alpha,
-            offsets=xy, transOffset=ax.transData)
+            offsets=[xy], offset_transform=ax.transData)
         ax.add_collection(col, autolim=True)
     ax.autoscale_view()
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+@image_comparison(['regularpolycollection_scale.png'], remove_text=True)
+def test_regularpolycollection_scale():
+    # See issue #3860
+
+    class SquareCollection(mcollections.RegularPolyCollection):
+        def __init__(self, **kwargs):
+            super().__init__(4, rotation=np.pi/4., **kwargs)
+
+        def get_transform(self):
+            """Return transform scaling circle areas to data space."""
+            ax = self.axes
+
+            pts2pixels = 72.0 / ax.get_figure(root=True).dpi
+
+            scale_x = pts2pixels * ax.bbox.width / ax.viewLim.width
+            scale_y = pts2pixels * ax.bbox.height / ax.viewLim.height
+            return mtransforms.Affine2D().scale(scale_x, scale_y)
+
+    fig, ax = plt.subplots()
+
+    xy = [(0, 0)]
+    # Unit square has a half-diagonal of `1/sqrt(2)`, so `pi * r**2` equals...
+    circle_areas = [np.pi / 2]
+    squares = SquareCollection(
+        sizes=circle_areas, offsets=xy, offset_transform=ax.transData)
+    ax.add_collection(squares, autolim=True)
+    ax.axis([-1, 1, -1, 1])
+
+
+def test_picking():
+    fig, ax = plt.subplots()
+    col = ax.scatter([0], [0], [1000], picker=True)
+    fig.savefig(io.BytesIO(), dpi=fig.dpi)
+    mouse_event = SimpleNamespace(x=325, y=240)
+    found, indices = col.contains(mouse_event)
+    assert found
+    assert_array_equal(indices['ind'], [0])
+
+
+def test_quadmesh_contains():
+    x = np.arange(4)
+    X = x[:, None] * x[None, :]
+
+    fig, ax = plt.subplots()
+    mesh = ax.pcolormesh(X)
+    fig.draw_without_rendering()
+    xdata, ydata = 0.5, 0.5
+    x, y = mesh.get_transform().transform((xdata, ydata))
+    mouse_event = SimpleNamespace(xdata=xdata, ydata=ydata, x=x, y=y)
+    found, indices = mesh.contains(mouse_event)
+    assert found
+    assert_array_equal(indices['ind'], [0])
+
+    xdata, ydata = 1.5, 1.5
+    x, y = mesh.get_transform().transform((xdata, ydata))
+    mouse_event = SimpleNamespace(xdata=xdata, ydata=ydata, x=x, y=y)
+    found, indices = mesh.contains(mouse_event)
+    assert found
+    assert_array_equal(indices['ind'], [5])
+
+
+def test_quadmesh_contains_concave():
+    # Test a concave polygon, V-like shape
+    x = [[0, -1], [1, 0]]
+    y = [[0, 1], [1, -1]]
+    fig, ax = plt.subplots()
+    mesh = ax.pcolormesh(x, y, [[0]])
+    fig.draw_without_rendering()
+    # xdata, ydata, expected
+    points = [(-0.5, 0.25, True),  # left wing
+              (0, 0.25, False),  # between the two wings
+              (0.5, 0.25, True),  # right wing
+              (0, -0.25, True),  # main body
+              ]
+    for point in points:
+        xdata, ydata, expected = point
+        x, y = mesh.get_transform().transform((xdata, ydata))
+        mouse_event = SimpleNamespace(xdata=xdata, ydata=ydata, x=x, y=y)
+        found, indices = mesh.contains(mouse_event)
+        assert found is expected
+
+
+def test_quadmesh_cursor_data():
+    x = np.arange(4)
+    X = x[:, None] * x[None, :]
+
+    fig, ax = plt.subplots()
+    mesh = ax.pcolormesh(X)
+    # Empty array data
+    mesh._A = None
+    fig.draw_without_rendering()
+    xdata, ydata = 0.5, 0.5
+    x, y = mesh.get_transform().transform((xdata, ydata))
+    mouse_event = SimpleNamespace(xdata=xdata, ydata=ydata, x=x, y=y)
+    # Empty collection should return None
+    assert mesh.get_cursor_data(mouse_event) is None
+
+    # Now test adding the array data, to make sure we do get a value
+    mesh.set_array(np.ones(X.shape))
+    assert_array_equal(mesh.get_cursor_data(mouse_event), [1])
+
+
+def test_quadmesh_cursor_data_multiple_points():
+    x = [1, 2, 1, 2]
+    fig, ax = plt.subplots()
+    mesh = ax.pcolormesh(x, x, np.ones((3, 3)))
+    fig.draw_without_rendering()
+    xdata, ydata = 1.5, 1.5
+    x, y = mesh.get_transform().transform((xdata, ydata))
+    mouse_event = SimpleNamespace(xdata=xdata, ydata=ydata, x=x, y=y)
+    # All quads are covering the same square
+    assert_array_equal(mesh.get_cursor_data(mouse_event), np.ones(9))
+
+
+def test_linestyle_single_dashes():
+    plt.scatter([0, 1, 2], [0, 1, 2], linestyle=(0., [2., 2.]))
+    plt.draw()
+
+
+@image_comparison(['size_in_xy.png'], remove_text=True)
+def test_size_in_xy():
+    fig, ax = plt.subplots()
+
+    widths, heights, angles = (10, 10), 10, 0
+    widths = 10, 10
+    coords = [(10, 10), (15, 15)]
+    e = mcollections.EllipseCollection(
+        widths, heights, angles, units='xy',
+        offsets=coords, offset_transform=ax.transData)
+
+    ax.add_collection(e)
+
+    ax.set_xlim(0, 30)
+    ax.set_ylim(0, 30)
+
+
+def test_pandas_indexing(pd):
+
+    # Should not fail break when faced with a
+    # non-zero indexed series
+    index = [11, 12, 13]
+    ec = fc = pd.Series(['red', 'blue', 'green'], index=index)
+    lw = pd.Series([1, 2, 3], index=index)
+    ls = pd.Series(['solid', 'dashed', 'dashdot'], index=index)
+    aa = pd.Series([True, False, True], index=index)
+
+    Collection(edgecolors=ec)
+    Collection(facecolors=fc)
+    Collection(linewidths=lw)
+    Collection(linestyles=ls)
+    Collection(antialiaseds=aa)
+
+
+@mpl.style.context('default')
+def test_lslw_bcast():
+    col = mcollections.PathCollection([])
+    col.set_linestyles(['-', '-'])
+    col.set_linewidths([1, 2, 3])
+
+    assert col.get_linestyles() == [(0, None)] * 6
+    assert col.get_linewidths() == [1, 2, 3] * 2
+
+    col.set_linestyles(['-', '-', '-'])
+    assert col.get_linestyles() == [(0, None)] * 3
+    assert (col.get_linewidths() == [1, 2, 3]).all()
+
+
+def test_set_wrong_linestyle():
+    c = Collection()
+    with pytest.raises(ValueError, match="Do not know how to convert 'fuzzy'"):
+        c.set_linestyle('fuzzy')
+
+
+@mpl.style.context('default')
+def test_capstyle():
+    col = mcollections.PathCollection([])
+    assert col.get_capstyle() is None
+    col = mcollections.PathCollection([], capstyle='round')
+    assert col.get_capstyle() == 'round'
+    col.set_capstyle('butt')
+    assert col.get_capstyle() == 'butt'
+
+
+@mpl.style.context('default')
+def test_joinstyle():
+    col = mcollections.PathCollection([])
+    assert col.get_joinstyle() is None
+    col = mcollections.PathCollection([], joinstyle='round')
+    assert col.get_joinstyle() == 'round'
+    col.set_joinstyle('miter')
+    assert col.get_joinstyle() == 'miter'
+
+
+@image_comparison(['cap_and_joinstyle.png'])
+def test_cap_and_joinstyle_image():
+    fig, ax = plt.subplots()
+    ax.set_xlim([-0.5, 1.5])
+    ax.set_ylim([-0.5, 2.5])
+
+    x = np.array([0.0, 1.0, 0.5])
+    ys = np.array([[0.0], [0.5], [1.0]]) + np.array([[0.0, 0.0, 1.0]])
+
+    segs = np.zeros((3, 3, 2))
+    segs[:, :, 0] = x
+    segs[:, :, 1] = ys
+    line_segments = LineCollection(segs, linewidth=[10, 15, 20])
+    line_segments.set_capstyle("round")
+    line_segments.set_joinstyle("miter")
+
+    ax.add_collection(line_segments)
+    ax.set_title('Line collection with customized caps and joinstyle')
+
+
+@image_comparison(['scatter_post_alpha.png'],
+                  remove_text=True, style='default')
+def test_scatter_post_alpha():
+    fig, ax = plt.subplots()
+    sc = ax.scatter(range(5), range(5), c=range(5))
+    sc.set_alpha(.1)
+
+
+def test_scatter_alpha_array():
+    x = np.arange(5)
+    alpha = x / 5
+    # With colormapping.
+    fig, (ax0, ax1) = plt.subplots(2)
+    sc0 = ax0.scatter(x, x, c=x, alpha=alpha)
+    sc1 = ax1.scatter(x, x, c=x)
+    sc1.set_alpha(alpha)
+    plt.draw()
+    assert_array_equal(sc0.get_facecolors()[:, -1], alpha)
+    assert_array_equal(sc1.get_facecolors()[:, -1], alpha)
+    # Without colormapping.
+    fig, (ax0, ax1) = plt.subplots(2)
+    sc0 = ax0.scatter(x, x, color=['r', 'g', 'b', 'c', 'm'], alpha=alpha)
+    sc1 = ax1.scatter(x, x, color='r', alpha=alpha)
+    plt.draw()
+    assert_array_equal(sc0.get_facecolors()[:, -1], alpha)
+    assert_array_equal(sc1.get_facecolors()[:, -1], alpha)
+    # Without colormapping, and set alpha afterward.
+    fig, (ax0, ax1) = plt.subplots(2)
+    sc0 = ax0.scatter(x, x, color=['r', 'g', 'b', 'c', 'm'])
+    sc0.set_alpha(alpha)
+    sc1 = ax1.scatter(x, x, color='r')
+    sc1.set_alpha(alpha)
+    plt.draw()
+    assert_array_equal(sc0.get_facecolors()[:, -1], alpha)
+    assert_array_equal(sc1.get_facecolors()[:, -1], alpha)
+
+
+def test_pathcollection_legend_elements():
+    np.random.seed(19680801)
+    x, y = np.random.rand(2, 10)
+    y = np.random.rand(10)
+    c = np.random.randint(0, 5, size=10)
+    s = np.random.randint(10, 300, size=10)
+
+    fig, ax = plt.subplots()
+    sc = ax.scatter(x, y, c=c, s=s, cmap="jet", marker="o", linewidths=0)
+
+    h, l = sc.legend_elements(fmt="{x:g}")
+    assert len(h) == 5
+    assert l == ["0", "1", "2", "3", "4"]
+    colors = np.array([line.get_color() for line in h])
+    colors2 = sc.cmap(np.arange(5)/4)
+    assert_array_equal(colors, colors2)
+    l1 = ax.legend(h, l, loc=1)
+
+    h2, lab2 = sc.legend_elements(num=9)
+    assert len(h2) == 9
+    l2 = ax.legend(h2, lab2, loc=2)
+
+    h, l = sc.legend_elements(prop="sizes", alpha=0.5, color="red")
+    assert all(line.get_alpha() == 0.5 for line in h)
+    assert all(line.get_markerfacecolor() == "red" for line in h)
+    l3 = ax.legend(h, l, loc=4)
+
+    h, l = sc.legend_elements(prop="sizes", num=4, fmt="{x:.2f}",
+                              func=lambda x: 2*x)
+    actsizes = [line.get_markersize() for line in h]
+    labeledsizes = np.sqrt(np.array(l, float) / 2)
+    assert_array_almost_equal(actsizes, labeledsizes)
+    l4 = ax.legend(h, l, loc=3)
+
+    loc = mpl.ticker.MaxNLocator(nbins=9, min_n_ticks=9-1,
+                                 steps=[1, 2, 2.5, 3, 5, 6, 8, 10])
+    h5, lab5 = sc.legend_elements(num=loc)
+    assert len(h2) == len(h5)
+
+    levels = [-1, 0, 55.4, 260]
+    h6, lab6 = sc.legend_elements(num=levels, prop="sizes", fmt="{x:g}")
+    assert [float(l) for l in lab6] == levels[2:]
+
+    for l in [l1, l2, l3, l4]:
+        ax.add_artist(l)
+
+    fig.canvas.draw()
+
+
+def test_EventCollection_nosort():
+    # Check that EventCollection doesn't modify input in place
+    arr = np.array([3, 2, 1, 10])
+    coll = EventCollection(arr)
+    np.testing.assert_array_equal(arr, np.array([3, 2, 1, 10]))
+
+
+def test_collection_set_verts_array():
+    verts = np.arange(80, dtype=np.double).reshape(10, 4, 2)
+    col_arr = PolyCollection(verts)
+    col_list = PolyCollection(list(verts))
+    assert len(col_arr._paths) == len(col_list._paths)
+    for ap, lp in zip(col_arr._paths, col_list._paths):
+        assert np.array_equal(ap._vertices, lp._vertices)
+        assert np.array_equal(ap._codes, lp._codes)
+
+    verts_tuple = np.empty(10, dtype=object)
+    verts_tuple[:] = [tuple(tuple(y) for y in x) for x in verts]
+    col_arr_tuple = PolyCollection(verts_tuple)
+    assert len(col_arr._paths) == len(col_arr_tuple._paths)
+    for ap, atp in zip(col_arr._paths, col_arr_tuple._paths):
+        assert np.array_equal(ap._vertices, atp._vertices)
+        assert np.array_equal(ap._codes, atp._codes)
+
+
+@check_figures_equal()
+@pytest.mark.parametrize("kwargs", [{}, {"step": "pre"}])
+def test_fill_between_poly_collection_set_data(fig_test, fig_ref, kwargs):
+    t = np.linspace(0, 16)
+    f1 = np.sin(t)
+    f2 = f1 + 0.2
+
+    fig_ref.subplots().fill_between(t, f1, f2, **kwargs)
+
+    coll = fig_test.subplots().fill_between(t, -1, 1.2, **kwargs)
+    coll.set_data(t, f1, f2)
+
+
+@pytest.mark.parametrize(("t_direction", "f1", "shape", "where", "msg"), [
+    ("z", None, None, None, r"t_direction must be 'x' or 'y', got 'z'"),
+    ("x", None, (-1, 1), None, r"'x' is not 1-dimensional"),
+    ("x", None, None, [False] * 3, r"where size \(3\) does not match 'x' size \(\d+\)"),
+    ("y", [1, 2], None, None, r"'y' has size \d+, but 'x1' has an unequal size of \d+"),
+])
+def test_fill_between_poly_collection_raise(t_direction, f1, shape, where, msg):
+    t = np.linspace(0, 16)
+    f1 = np.sin(t) if f1 is None else np.asarray(f1)
+    f2 = f1 + 0.2
+    if shape:
+        t = t.reshape(*shape)
+    with pytest.raises(ValueError, match=msg):
+        FillBetweenPolyCollection(t_direction, t, f1, f2, where=where)
+
+
+def test_collection_set_array():
+    vals = [*range(10)]
+
+    # Test set_array with list
+    c = Collection()
+    c.set_array(vals)
+
+    # Test set_array with wrong dtype
+    with pytest.raises(TypeError, match="^Image data of dtype"):
+        c.set_array("wrong_input")
+
+    # Test if array kwarg is copied
+    vals[5] = 45
+    assert np.not_equal(vals, c.get_array()).any()
+
+
+def test_blended_collection_autolim():
+    a = [1, 2, 4]
+    height = .2
+
+    xy_pairs = np.column_stack([np.repeat(a, 2), np.tile([0, height], len(a))])
+    line_segs = xy_pairs.reshape([len(a), 2, 2])
+
+    f, ax = plt.subplots()
+    trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)
+    ax.add_collection(LineCollection(line_segs, transform=trans))
+    ax.autoscale_view(scalex=True, scaley=False)
+    np.testing.assert_allclose(ax.get_xlim(), [1., 4.])
+
+
+def test_singleton_autolim():
+    fig, ax = plt.subplots()
+    ax.scatter(0, 0)
+    np.testing.assert_allclose(ax.get_ylim(), [-0.06, 0.06])
+    np.testing.assert_allclose(ax.get_xlim(), [-0.06, 0.06])
+
+
+@pytest.mark.parametrize("transform, expected", [
+    ("transData", (-0.5, 3.5)),
+    ("transAxes", (2.8, 3.2)),
+])
+def test_autolim_with_zeros(transform, expected):
+    # 1) Test that a scatter at (0, 0) data coordinates contributes to
+    # autoscaling even though any(offsets) would be False in that situation.
+    # 2) Test that specifying transAxes for the transform does not contribute
+    # to the autoscaling.
+    fig, ax = plt.subplots()
+    ax.scatter(0, 0, transform=getattr(ax, transform))
+    ax.scatter(3, 3)
+    np.testing.assert_allclose(ax.get_ylim(), expected)
+    np.testing.assert_allclose(ax.get_xlim(), expected)
+
+
+def test_quadmesh_set_array_validation(pcfunc):
+    x = np.arange(11)
+    y = np.arange(8)
+    z = np.random.random((7, 10))
+    fig, ax = plt.subplots()
+    coll = getattr(ax, pcfunc)(x, y, z)
+
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (10, 7)")):
+        coll.set_array(z.reshape(10, 7))
+
+    z = np.arange(54).reshape((6, 9))
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (6, 9)")):
+        coll.set_array(z)
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (54,)")):
+        coll.set_array(z.ravel())
+
+    # RGB(A) tests
+    z = np.ones((9, 6, 3))  # RGB with wrong X/Y dims
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (9, 6, 3)")):
+        coll.set_array(z)
+
+    z = np.ones((9, 6, 4))  # RGBA with wrong X/Y dims
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (9, 6, 4)")):
+        coll.set_array(z)
+
+    z = np.ones((7, 10, 2))  # Right X/Y dims, bad 3rd dim
+    with pytest.raises(ValueError, match=re.escape(
+            "For X (11) and Y (8) with flat shading, A should have shape "
+            "(7, 10, 3) or (7, 10, 4) or (7, 10) or (70,), not (7, 10, 2)")):
+        coll.set_array(z)
+
+    x = np.arange(10)
+    y = np.arange(7)
+    z = np.random.random((7, 10))
+    fig, ax = plt.subplots()
+    coll = ax.pcolormesh(x, y, z, shading='gouraud')
+
+
+def test_polyquadmesh_masked_vertices_array():
+    xx, yy = np.meshgrid([0, 1, 2], [0, 1, 2, 3])
+    # 2 x 3 mesh data
+    zz = (xx*yy)[:-1, :-1]
+    quadmesh = plt.pcolormesh(xx, yy, zz)
+    quadmesh.update_scalarmappable()
+    quadmesh_fc = quadmesh.get_facecolor()[1:, :]
+    # Mask the origin vertex in x
+    xx = np.ma.masked_where((xx == 0) & (yy == 0), xx)
+    polymesh = plt.pcolor(xx, yy, zz)
+    polymesh.update_scalarmappable()
+    # One cell should be left out
+    assert len(polymesh.get_paths()) == 5
+    # Poly version should have the same facecolors as the end of the quadmesh
+    assert_array_equal(quadmesh_fc, polymesh.get_facecolor())
+
+    # Mask the origin vertex in y
+    yy = np.ma.masked_where((xx == 0) & (yy == 0), yy)
+    polymesh = plt.pcolor(xx, yy, zz)
+    polymesh.update_scalarmappable()
+    # One cell should be left out
+    assert len(polymesh.get_paths()) == 5
+    # Poly version should have the same facecolors as the end of the quadmesh
+    assert_array_equal(quadmesh_fc, polymesh.get_facecolor())
+
+    # Mask the origin cell data
+    zz = np.ma.masked_where((xx[:-1, :-1] == 0) & (yy[:-1, :-1] == 0), zz)
+    polymesh = plt.pcolor(zz)
+    polymesh.update_scalarmappable()
+    # One cell should be left out
+    assert len(polymesh.get_paths()) == 5
+    # Poly version should have the same facecolors as the end of the quadmesh
+    assert_array_equal(quadmesh_fc, polymesh.get_facecolor())
+
+    # We should also be able to call set_array with a new mask and get
+    # updated polys
+    # Remove mask, should add all polys back
+    zz = np.arange(6).reshape((3, 2))
+    polymesh.set_array(zz)
+    polymesh.update_scalarmappable()
+    assert len(polymesh.get_paths()) == 6
+    # Add mask should remove polys
+    zz = np.ma.masked_less(zz, 2)
+    polymesh.set_array(zz)
+    polymesh.update_scalarmappable()
+    assert len(polymesh.get_paths()) == 4
+
+
+def test_quadmesh_get_coordinates(pcfunc):
+    x = [0, 1, 2]
+    y = [2, 4, 6]
+    z = np.ones(shape=(2, 2))
+    xx, yy = np.meshgrid(x, y)
+    coll = getattr(plt, pcfunc)(xx, yy, z)
+
+    # shape (3, 3, 2)
+    coords = np.stack([xx.T, yy.T]).T
+    assert_array_equal(coll.get_coordinates(), coords)
+
+
+def test_quadmesh_set_array():
+    x = np.arange(4)
+    y = np.arange(4)
+    z = np.arange(9).reshape((3, 3))
+    fig, ax = plt.subplots()
+    coll = ax.pcolormesh(x, y, np.ones(z.shape))
+    # Test that the collection is able to update with a 2d array
+    coll.set_array(z)
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_array(), z)
+
+    # Check that pre-flattened arrays work too
+    coll.set_array(np.ones(9))
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_array(), np.ones(9))
+
+    z = np.arange(16).reshape((4, 4))
+    fig, ax = plt.subplots()
+    coll = ax.pcolormesh(x, y, np.ones(z.shape), shading='gouraud')
+    # Test that the collection is able to update with a 2d array
+    coll.set_array(z)
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_array(), z)
+
+    # Check that pre-flattened arrays work too
+    coll.set_array(np.ones(16))
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_array(), np.ones(16))
+
+
+def test_quadmesh_vmin_vmax(pcfunc):
+    # test when vmin/vmax on the norm changes, the quadmesh gets updated
+    fig, ax = plt.subplots()
+    cmap = mpl.colormaps['plasma']
+    norm = mpl.colors.Normalize(vmin=0, vmax=1)
+    coll = getattr(ax, pcfunc)([[1]], cmap=cmap, norm=norm)
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_facecolors()[0, :], cmap(norm(1)))
+
+    # Change the vmin/vmax of the norm so that the color is from
+    # the bottom of the colormap now
+    norm.vmin, norm.vmax = 1, 2
+    fig.canvas.draw()
+    assert np.array_equal(coll.get_facecolors()[0, :], cmap(norm(1)))
+
+
+def test_quadmesh_alpha_array(pcfunc):
+    x = np.arange(4)
+    y = np.arange(4)
+    z = np.arange(9).reshape((3, 3))
+    alpha = z / z.max()
+    alpha_flat = alpha.ravel()
+    # Provide 2-D alpha:
+    fig, (ax0, ax1) = plt.subplots(2)
+    coll1 = getattr(ax0, pcfunc)(x, y, z, alpha=alpha)
+    coll2 = getattr(ax0, pcfunc)(x, y, z)
+    coll2.set_alpha(alpha)
+    plt.draw()
+    assert_array_equal(coll1.get_facecolors()[:, -1], alpha_flat)
+    assert_array_equal(coll2.get_facecolors()[:, -1], alpha_flat)
+    # Or provide 1-D alpha:
+    fig, (ax0, ax1) = plt.subplots(2)
+    coll1 = getattr(ax0, pcfunc)(x, y, z, alpha=alpha)
+    coll2 = getattr(ax1, pcfunc)(x, y, z)
+    coll2.set_alpha(alpha)
+    plt.draw()
+    assert_array_equal(coll1.get_facecolors()[:, -1], alpha_flat)
+    assert_array_equal(coll2.get_facecolors()[:, -1], alpha_flat)
+
+
+def test_alpha_validation(pcfunc):
+    # Most of the relevant testing is in test_artist and test_colors.
+    fig, ax = plt.subplots()
+    pc = getattr(ax, pcfunc)(np.arange(12).reshape((3, 4)))
+    with pytest.raises(ValueError, match="^Data array shape"):
+        pc.set_alpha([0.5, 0.6])
+        pc.update_scalarmappable()
+
+
+def test_legend_inverse_size_label_relationship():
+    """
+    Ensure legend markers scale appropriately when label and size are
+    inversely related.
+    Here label = 5 / size
+    """
+
+    np.random.seed(19680801)
+    X = np.random.random(50)
+    Y = np.random.random(50)
+    C = 1 - np.random.random(50)
+    S = 5 / C
+
+    legend_sizes = [0.2, 0.4, 0.6, 0.8]
+    fig, ax = plt.subplots()
+    sc = ax.scatter(X, Y, s=S)
+    handles, labels = sc.legend_elements(
+      prop='sizes', num=legend_sizes, func=lambda s: 5 / s
+    )
+
+    # Convert markersize scale to 's' scale
+    handle_sizes = [x.get_markersize() for x in handles]
+    handle_sizes = [5 / x**2 for x in handle_sizes]
+
+    assert_array_almost_equal(handle_sizes, legend_sizes, decimal=1)
+
+
+@mpl.style.context('default')
+def test_color_logic(pcfunc):
+    pcfunc = getattr(plt, pcfunc)
+    z = np.arange(12).reshape(3, 4)
+    # Explicitly set an edgecolor.
+    pc = pcfunc(z, edgecolors='red', facecolors='none')
+    pc.update_scalarmappable()  # This is called in draw().
+    # Define 2 reference "colors" here for multiple use.
+    face_default = mcolors.to_rgba_array(pc._get_default_facecolor())
+    mapped = pc.get_cmap()(pc.norm(z.ravel()))
+    # GitHub issue #1302:
+    assert mcolors.same_color(pc.get_edgecolor(), 'red')
+    # Check setting attributes after initialization:
+    pc = pcfunc(z)
+    pc.set_facecolor('none')
+    pc.set_edgecolor('red')
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_facecolor(), 'none')
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    pc.set_alpha(0.5)
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 0.5]])
+    pc.set_alpha(None)  # restore default alpha
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    # Reset edgecolor to default.
+    pc.set_edgecolor(None)
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_edgecolor(), mapped)
+    pc.set_facecolor(None)  # restore default for facecolor
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_facecolor(), mapped)
+    assert mcolors.same_color(pc.get_edgecolor(), 'none')
+    # Turn off colormapping entirely:
+    pc.set_array(None)
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_edgecolor(), 'none')
+    assert mcolors.same_color(pc.get_facecolor(), face_default)  # not mapped
+    # Turn it back on by restoring the array (must be 1D!):
+    pc.set_array(z)
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_facecolor(), mapped)
+    assert mcolors.same_color(pc.get_edgecolor(), 'none')
+    # Give color via tuple rather than string.
+    pc = pcfunc(z, edgecolors=(1, 0, 0), facecolors=(0, 1, 0))
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_facecolor(), mapped)
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    # Provide an RGB array; mapping overrides it.
+    pc = pcfunc(z, edgecolors=(1, 0, 0), facecolors=np.ones((12, 3)))
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_facecolor(), mapped)
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    # Turn off the mapping.
+    pc.set_array(None)
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_facecolor(), np.ones((12, 3)))
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    # And an RGBA array.
+    pc = pcfunc(z, edgecolors=(1, 0, 0), facecolors=np.ones((12, 4)))
+    pc.update_scalarmappable()
+    assert np.array_equal(pc.get_facecolor(), mapped)
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+    # Turn off the mapping.
+    pc.set_array(None)
+    pc.update_scalarmappable()
+    assert mcolors.same_color(pc.get_facecolor(), np.ones((12, 4)))
+    assert mcolors.same_color(pc.get_edgecolor(), [[1, 0, 0, 1]])
+
+
+def test_LineCollection_args():
+    lc = LineCollection(None, linewidth=2.2, edgecolor='r',
+                        zorder=3, facecolors=[0, 1, 0, 1])
+    assert lc.get_linewidth()[0] == 2.2
+    assert mcolors.same_color(lc.get_edgecolor(), 'r')
+    assert lc.get_zorder() == 3
+    assert mcolors.same_color(lc.get_facecolor(), [[0, 1, 0, 1]])
+    # To avoid breaking mplot3d, LineCollection internally sets the facecolor
+    # kwarg if it has not been specified.  Hence we need the following test
+    # for LineCollection._set_default().
+    lc = LineCollection(None, facecolor=None)
+    assert mcolors.same_color(lc.get_facecolor(), 'none')
+
+
+def test_array_dimensions(pcfunc):
+    # Make sure we can set the 1D, 2D, and 3D array shapes
+    z = np.arange(12).reshape(3, 4)
+    pc = getattr(plt, pcfunc)(z)
+    # 1D
+    pc.set_array(z.ravel())
+    pc.update_scalarmappable()
+    # 2D
+    pc.set_array(z)
+    pc.update_scalarmappable()
+    # 3D RGB is OK as well
+    z = np.arange(36, dtype=np.uint8).reshape(3, 4, 3)
+    pc.set_array(z)
+    pc.update_scalarmappable()
+
+
+def test_get_segments():
+    segments = np.tile(np.linspace(0, 1, 256), (2, 1)).T
+    lc = LineCollection([segments])
+
+    readback, = lc.get_segments()
+    # these should comeback un-changed!
+    assert np.all(segments == readback)
+
+
+def test_set_offsets_late():
+    identity = mtransforms.IdentityTransform()
+    sizes = [2]
+
+    null = mcollections.CircleCollection(sizes=sizes)
+
+    init = mcollections.CircleCollection(sizes=sizes, offsets=(10, 10))
+
+    late = mcollections.CircleCollection(sizes=sizes)
+    late.set_offsets((10, 10))
+
+    # Bbox.__eq__ doesn't compare bounds
+    null_bounds = null.get_datalim(identity).bounds
+    init_bounds = init.get_datalim(identity).bounds
+    late_bounds = late.get_datalim(identity).bounds
+
+    # offsets and transform are applied when set after initialization
+    assert null_bounds != init_bounds
+    assert init_bounds == late_bounds
+
+
+def test_set_offset_transform():
+    skew = mtransforms.Affine2D().skew(2, 2)
+    init = mcollections.Collection(offset_transform=skew)
+
+    late = mcollections.Collection()
+    late.set_offset_transform(skew)
+
+    assert skew == init.get_offset_transform() == late.get_offset_transform()
+
+
+def test_set_offset_units():
+    # passing the offsets in initially (i.e. via scatter)
+    # should yield the same results as `set_offsets`
+    x = np.linspace(0, 10, 5)
+    y = np.sin(x)
+    d = x * np.timedelta64(24, 'h') + np.datetime64('2021-11-29')
+
+    sc = plt.scatter(d, y)
+    off0 = sc.get_offsets()
+    sc.set_offsets(list(zip(d, y)))
+    np.testing.assert_allclose(off0, sc.get_offsets())
+
+    # try the other way around
+    fig, ax = plt.subplots()
+    sc = ax.scatter(y, d)
+    off0 = sc.get_offsets()
+    sc.set_offsets(list(zip(y, d)))
+    np.testing.assert_allclose(off0, sc.get_offsets())
+
+
+@image_comparison(baseline_images=["test_check_masked_offsets"],
+                  extensions=["png"], remove_text=True, style="mpl20")
+def test_check_masked_offsets():
+    # Check if masked data is respected by scatter
+    # Ref: Issue #24545
+    unmasked_x = [
+        datetime(2022, 12, 15, 4, 49, 52),
+        datetime(2022, 12, 15, 4, 49, 53),
+        datetime(2022, 12, 15, 4, 49, 54),
+        datetime(2022, 12, 15, 4, 49, 55),
+        datetime(2022, 12, 15, 4, 49, 56),
+    ]
+
+    masked_y = np.ma.array([1, 2, 3, 4, 5], mask=[0, 1, 1, 0, 0])
+
+    fig, ax = plt.subplots()
+    ax.scatter(unmasked_x, masked_y)
+
+
+@check_figures_equal()
+def test_masked_set_offsets(fig_ref, fig_test):
+    x = np.ma.array([1, 2, 3, 4, 5], mask=[0, 0, 1, 1, 0])
+    y = np.arange(1, 6)
+
+    ax_test = fig_test.add_subplot()
+    scat = ax_test.scatter(x, y)
+    scat.set_offsets(np.ma.column_stack([x, y]))
+    ax_test.set_xticks([])
+    ax_test.set_yticks([])
+
+    ax_ref = fig_ref.add_subplot()
+    ax_ref.scatter([1, 2, 5], [1, 2, 5])
+    ax_ref.set_xticks([])
+    ax_ref.set_yticks([])
+
+
+def test_check_offsets_dtype():
+    # Check that setting offsets doesn't change dtype
+    x = np.ma.array([1, 2, 3, 4, 5], mask=[0, 0, 1, 1, 0])
+    y = np.arange(1, 6)
+
+    fig, ax = plt.subplots()
+    scat = ax.scatter(x, y)
+    masked_offsets = np.ma.column_stack([x, y])
+    scat.set_offsets(masked_offsets)
+    assert isinstance(scat.get_offsets(), type(masked_offsets))
+
+    unmasked_offsets = np.column_stack([x, y])
+    scat.set_offsets(unmasked_offsets)
+    assert isinstance(scat.get_offsets(), type(unmasked_offsets))
+
+
+@pytest.mark.parametrize('gapcolor', ['orange', ['r', 'k']])
+@check_figures_equal()
+def test_striped_lines(fig_test, fig_ref, gapcolor):
+    ax_test = fig_test.add_subplot(111)
+    ax_ref = fig_ref.add_subplot(111)
+
+    for ax in [ax_test, ax_ref]:
+        ax.set_xlim(0, 6)
+        ax.set_ylim(0, 1)
+
+    x = range(1, 6)
+    linestyles = [':', '-', '--']
+
+    ax_test.vlines(x, 0, 1, linewidth=20, linestyle=linestyles, gapcolor=gapcolor,
+                   alpha=0.5)
+
+    if isinstance(gapcolor, str):
+        gapcolor = [gapcolor]
+
+    for x, gcol, ls in zip(x, itertools.cycle(gapcolor),
+                           itertools.cycle(linestyles)):
+        ax_ref.axvline(x, 0, 1, linewidth=20, linestyle=ls, gapcolor=gcol, alpha=0.5)
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg', 'eps'])
+def test_hatch_linewidth(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    lw = 2.0
+
+    polygons = [
+        [(0.1, 0.1), (0.1, 0.4), (0.4, 0.4), (0.4, 0.1)],
+        [(0.6, 0.6), (0.6, 0.9), (0.9, 0.9), (0.9, 0.6)],
+    ]
+    ref = PolyCollection(polygons, hatch="x")
+    ref.set_hatch_linewidth(lw)
+
+    with mpl.rc_context({"hatch.linewidth": lw}):
+        test = PolyCollection(polygons, hatch="x")
+
+    ax_ref.add_collection(ref)
+    ax_test.add_collection(test)
+
+    assert test.get_hatch_linewidth() == ref.get_hatch_linewidth() == lw
+
+
+def test_collection_hatchcolor_inherit_logic():
+    from matplotlib.collections import PathCollection
+    path = mpath.Path.unit_rectangle()
+
+    edgecolors = ['purple', 'red', 'green', 'yellow']
+    hatchcolors = ['orange', 'cyan', 'blue', 'magenta']
+    with mpl.rc_context({'hatch.color': 'edge'}):
+        # edgecolor and hatchcolor is set
+        col = PathCollection([path], hatch='//',
+                              edgecolor=edgecolors, hatchcolor=hatchcolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+
+        # explicitly setting edgecolor and then hatchcolor
+        col = PathCollection([path], hatch='//')
+        col.set_edgecolor(edgecolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(edgecolors))
+        col.set_hatchcolor(hatchcolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+
+        # explicitly setting hatchcolor and then edgecolor
+        col = PathCollection([path], hatch='//')
+        col.set_hatchcolor(hatchcolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+        col.set_edgecolor(edgecolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+
+
+def test_collection_hatchcolor_fallback_logic():
+    from matplotlib.collections import PathCollection
+    path = mpath.Path.unit_rectangle()
+
+    edgecolors = ['purple', 'red', 'green', 'yellow']
+    hatchcolors = ['orange', 'cyan', 'blue', 'magenta']
+
+    # hatchcolor parameter should take precedence over rcParam
+    # When edgecolor is not set
+    with mpl.rc_context({'hatch.color': 'green'}):
+        col = PathCollection([path], hatch='//', hatchcolor=hatchcolors)
+    assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+    # When edgecolor is set
+    with mpl.rc_context({'hatch.color': 'green'}):
+        col = PathCollection([path], hatch='//',
+                             edgecolor=edgecolors, hatchcolor=hatchcolors)
+    assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(hatchcolors))
+
+    # hatchcolor should not be overridden by edgecolor when
+    # hatchcolor parameter is not passed and hatch.color rcParam is set to a color
+    with mpl.rc_context({'hatch.color': 'green'}):
+        col = PathCollection([path], hatch='//')
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array('green'))
+        col.set_edgecolor(edgecolors)
+        assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array('green'))
+
+    # hatchcolor should match edgecolor when
+    # hatchcolor parameter is not passed and hatch.color rcParam is set to 'edge'
+    with mpl.rc_context({'hatch.color': 'edge'}):
+        col = PathCollection([path], hatch='//', edgecolor=edgecolors)
+    assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(edgecolors))
+    # hatchcolor parameter is set to 'edge'
+    col = PathCollection([path], hatch='//', edgecolor=edgecolors, hatchcolor='edge')
+    assert_array_equal(col.get_hatchcolor(), mpl.colors.to_rgba_array(edgecolors))
+
+    # default hatchcolor should be used when hatchcolor parameter is not passed and
+    # hatch.color rcParam is set to 'edge' and edgecolor is not set
+    col = PathCollection([path], hatch='//')
+    assert_array_equal(col.get_hatchcolor(),
+                       mpl.colors.to_rgba_array(mpl.rcParams['patch.edgecolor']))
+
+
+@pytest.mark.parametrize('backend', ['agg', 'pdf', 'svg', 'ps'])
+def test_draw_path_collection_no_hatchcolor(backend):
+    from matplotlib.collections import PathCollection
+    path = mpath.Path.unit_rectangle()
+
+    plt.switch_backend(backend)
+    fig, ax = plt.subplots()
+    renderer = fig._get_renderer()
+
+    col = PathCollection([path], hatch='//')
+    ax.add_collection(col)
+
+    gc = renderer.new_gc()
+    transform = mtransforms.IdentityTransform()
+    paths = col.get_paths()
+    transforms = col.get_transforms()
+    offsets = col.get_offsets()
+    offset_trf = col.get_offset_transform()
+    facecolors = col.get_facecolor()
+    edgecolors = col.get_edgecolor()
+    linewidths = col.get_linewidth()
+    linestyles = col.get_linestyle()
+    antialiaseds = col.get_antialiased()
+    urls = col.get_urls()
+    offset_position = "screen"
+
+    renderer.draw_path_collection(
+        gc, transform, paths, transforms, offsets, offset_trf,
+        facecolors, edgecolors, linewidths, linestyles,
+        antialiaseds, urls, offset_position
+    )
+
+
+def test_third_party_backend_hatchcolors_arg_fallback(monkeypatch):
+    fig, ax = plt.subplots()
+    canvas = fig.canvas
+    renderer = canvas.get_renderer()
+
+    # monkeypatch the `draw_path_collection` method to simulate a third-party backend
+    # that does not support the `hatchcolors` argument.
+    def mock_draw_path_collection(self, gc, master_transform, paths, all_transforms,
+                                  offsets, offset_trans, facecolors, edgecolors,
+                                  linewidths, linestyles, antialiaseds, urls,
+                                  offset_position):
+        pass
+
+    monkeypatch.setattr(renderer, 'draw_path_collection', mock_draw_path_collection)
+
+    # Create a PathCollection with hatch colors
+    from matplotlib.collections import PathCollection
+    path = mpath.Path.unit_rectangle()
+    coll = PathCollection([path], hatch='//', hatchcolor='red')
+
+    ax.add_collection(coll)
+
+    plt.draw()
diff --git a/lib/matplotlib/tests/test_colorbar.py b/lib/matplotlib/tests/test_colorbar.py
index 8cd60e18dd52..f95f131e3bf6 100644
--- a/lib/matplotlib/tests/test_colorbar.py
+++ b/lib/matplotlib/tests/test_colorbar.py
@@ -1,17 +1,22 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import platform
 
 import numpy as np
-from numpy import ma
-import matplotlib
-from matplotlib.testing.decorators import image_comparison, cleanup
+import pytest
+
+from matplotlib import cm
+import matplotlib.colors as mcolors
+import matplotlib as mpl
+
+
+from matplotlib import rc_context
+from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
-from matplotlib import rcParams
-from matplotlib.colors import BoundaryNorm
-from matplotlib.cm import get_cmap
-from matplotlib.colorbar import ColorbarBase
+from matplotlib.colors import (
+    BoundaryNorm, LogNorm, PowerNorm, Normalize, NoNorm
+)
+from matplotlib.colorbar import Colorbar
+from matplotlib.ticker import FixedLocator, LogFormatter, StrMethodFormatter
+from matplotlib.testing.decorators import check_figures_equal
 
 
 def _get_cmap_norms():
@@ -22,10 +27,10 @@ def _get_cmap_norms():
     Helper function for _colorbar_extension_shape and
     colorbar_extension_length.
     """
-    # Create a color map and specify the levels it represents.
-    cmap = get_cmap("RdBu", lut=5)
+    # Create a colormap and specify the levels it represents.
+    cmap = mpl.colormaps["RdBu"].resampled(5)
     clevs = [-5., -2.5, -.5, .5, 1.5, 3.5]
-    # Define norms for the color maps.
+    # Define norms for the colormaps.
     norms = dict()
     norms['neither'] = BoundaryNorm(clevs, len(clevs) - 1)
     norms['min'] = BoundaryNorm([-10] + clevs[1:], len(clevs) - 1)
@@ -35,12 +40,12 @@ def _get_cmap_norms():
 
 
 def _colorbar_extension_shape(spacing):
-    '''
+    """
     Produce 4 colorbars with rectangular extensions for either uniform
     or proportional spacing.
 
     Helper function for test_colorbar_extension_shape.
-    '''
+    """
     # Get a colormap and appropriate norms for each extension type.
     cmap, norms = _get_cmap_norms()
     # Create a figure and adjust whitespace for subplots.
@@ -50,28 +55,29 @@ def _colorbar_extension_shape(spacing):
         # Get the appropriate norm and use it to get colorbar boundaries.
         norm = norms[extension_type]
         boundaries = values = norm.boundaries
+        # note that the last value was silently dropped pre 3.3:
+        values = values[:-1]
         # Create a subplot.
         cax = fig.add_subplot(4, 1, i + 1)
-        # Turn off text and ticks.
-        for item in cax.get_xticklabels() + cax.get_yticklabels() +\
-                cax.get_xticklines() + cax.get_yticklines():
-            item.set_visible(False)
         # Generate the colorbar.
-        cb = ColorbarBase(cax, cmap=cmap, norm=norm,
-                boundaries=boundaries, values=values,
-                extend=extension_type, extendrect=True,
-                orientation='horizontal', spacing=spacing)
+        Colorbar(cax, cmap=cmap, norm=norm,
+                 boundaries=boundaries, values=values,
+                 extend=extension_type, extendrect=True,
+                 orientation='horizontal', spacing=spacing)
+        # Turn off text and ticks.
+        cax.tick_params(left=False, labelleft=False,
+                        bottom=False, labelbottom=False)
     # Return the figure to the caller.
     return fig
 
 
 def _colorbar_extension_length(spacing):
-    '''
+    """
     Produce 12 colorbars with variable length extensions for either
     uniform or proportional spacing.
 
     Helper function for test_colorbar_extension_length.
-    '''
+    """
     # Get a colormap and appropriate norms for each extension type.
     cmap, norms = _get_cmap_norms()
     # Create a figure and adjust whitespace for subplots.
@@ -81,65 +87,97 @@ def _colorbar_extension_length(spacing):
         # Get the appropriate norm and use it to get colorbar boundaries.
         norm = norms[extension_type]
         boundaries = values = norm.boundaries
+        values = values[:-1]
         for j, extendfrac in enumerate((None, 'auto', 0.1)):
             # Create a subplot.
             cax = fig.add_subplot(12, 1, i*3 + j + 1)
-            # Turn off text and ticks.
-            for item in cax.get_xticklabels() + cax.get_yticklabels() +\
-                    cax.get_xticklines() + cax.get_yticklines():
-                item.set_visible(False)
             # Generate the colorbar.
-            cb = ColorbarBase(cax, cmap=cmap, norm=norm,
-                    boundaries=boundaries, values=values,
-                    extend=extension_type, extendfrac=extendfrac,
-                    orientation='horizontal', spacing=spacing)
+            Colorbar(cax, cmap=cmap, norm=norm,
+                     boundaries=boundaries, values=values,
+                     extend=extension_type, extendfrac=extendfrac,
+                     orientation='horizontal', spacing=spacing)
+            # Turn off text and ticks.
+            cax.tick_params(left=False, labelleft=False,
+                              bottom=False, labelbottom=False)
     # Return the figure to the caller.
     return fig
 
 
-@image_comparison(
-        baseline_images=['colorbar_extensions_shape_uniform',
-                         'colorbar_extensions_shape_proportional'],
-        extensions=['png'])
+@image_comparison(['colorbar_extensions_shape_uniform.png',
+                   'colorbar_extensions_shape_proportional.png'])
 def test_colorbar_extension_shape():
-    '''Test rectangular colorbar extensions.'''
+    """Test rectangular colorbar extensions."""
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     # Create figures for uniform and proportionally spaced colorbars.
-    fig1 = _colorbar_extension_shape('uniform')
-    fig2 = _colorbar_extension_shape('proportional')
+    _colorbar_extension_shape('uniform')
+    _colorbar_extension_shape('proportional')
 
 
-@image_comparison(baseline_images=['colorbar_extensions_uniform',
-                                   'colorbar_extensions_proportional'],
-                  extensions=['png'])
+@image_comparison(['colorbar_extensions_uniform.png',
+                   'colorbar_extensions_proportional.png'],
+                  tol=1.0)
 def test_colorbar_extension_length():
-    '''Test variable length colorbar extensions.'''
+    """Test variable length colorbar extensions."""
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     # Create figures for uniform and proportionally spaced colorbars.
-    fig1 = _colorbar_extension_length('uniform')
-    fig2 = _colorbar_extension_length('proportional')
+    _colorbar_extension_length('uniform')
+    _colorbar_extension_length('proportional')
+
 
+@pytest.mark.parametrize("orientation", ["horizontal", "vertical"])
+@pytest.mark.parametrize("extend,expected", [("min", (0, 0, 0, 1)),
+                                             ("max", (1, 1, 1, 1)),
+                                             ("both", (1, 1, 1, 1))])
+def test_colorbar_extension_inverted_axis(orientation, extend, expected):
+    """Test extension color with an inverted axis"""
+    data = np.arange(12).reshape(3, 4)
+    fig, ax = plt.subplots()
+    cmap = mpl.colormaps["viridis"].with_extremes(under=(0, 0, 0, 1),
+                                                  over=(1, 1, 1, 1))
+    im = ax.imshow(data, cmap=cmap)
+    cbar = fig.colorbar(im, orientation=orientation, extend=extend)
+    if orientation == "horizontal":
+        cbar.ax.invert_xaxis()
+    else:
+        cbar.ax.invert_yaxis()
+    assert cbar._extend_patches[0].get_facecolor() == expected
+    if extend == "both":
+        assert len(cbar._extend_patches) == 2
+        assert cbar._extend_patches[1].get_facecolor() == (0, 0, 0, 1)
+    else:
+        assert len(cbar._extend_patches) == 1
 
-@image_comparison(baseline_images=['cbar_with_orientation',
-                                   'cbar_locationing',
-                                   'double_cbar',
-                                   'cbar_sharing',
-                                   ],
+
+@pytest.mark.parametrize('use_gridspec', [True, False])
+@image_comparison(['cbar_with_orientation',
+                   'cbar_locationing',
+                   'double_cbar',
+                   'cbar_sharing',
+                   ],
                   extensions=['png'], remove_text=True,
                   savefig_kwarg={'dpi': 40})
-def test_colorbar_positioning():
+def test_colorbar_positioning(use_gridspec):
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     data = np.arange(1200).reshape(30, 40)
     levels = [0, 200, 400, 600, 800, 1000, 1200]
 
     # -------------------
     plt.figure()
     plt.contourf(data, levels=levels)
-    plt.colorbar(orientation='horizontal', use_gridspec=False)
+    plt.colorbar(orientation='horizontal', use_gridspec=use_gridspec)
 
     locations = ['left', 'right', 'top', 'bottom']
     plt.figure()
     for i, location in enumerate(locations):
         plt.subplot(2, 2, i + 1)
         plt.contourf(data, levels=levels)
-        plt.colorbar(location=location, use_gridspec=False)
+        plt.colorbar(location=location, use_gridspec=use_gridspec)
 
     # -------------------
     plt.figure()
@@ -155,9 +193,9 @@ def test_colorbar_positioning():
     plt.contour(hatch_mappable, colors='black')
 
     plt.colorbar(color_mappable, location='left', label='variable 1',
-                 use_gridspec=False)
+                 use_gridspec=use_gridspec)
     plt.colorbar(hatch_mappable, location='right', label='variable 2',
-                 use_gridspec=False)
+                 use_gridspec=use_gridspec)
 
     # -------------------
     plt.figure()
@@ -169,15 +207,46 @@ def test_colorbar_positioning():
     plt.contourf(data, levels=levels)
 
     plt.colorbar(ax=[ax2, ax3, ax1], location='right', pad=0.0, shrink=0.5,
-                 panchor=False, use_gridspec=False)
+                 panchor=False, use_gridspec=use_gridspec)
     plt.colorbar(ax=[ax2, ax3, ax1], location='left', shrink=0.5,
-                 panchor=False, use_gridspec=False)
+                 panchor=False, use_gridspec=use_gridspec)
     plt.colorbar(ax=[ax1], location='bottom', panchor=False,
-                 anchor=(0.8, 0.5), shrink=0.6, use_gridspec=False)
+                 anchor=(0.8, 0.5), shrink=0.6, use_gridspec=use_gridspec)
 
 
-@image_comparison(baseline_images=['cbar_with_subplots_adjust'],
-                  extensions=['png'], remove_text=True,
+def test_colorbar_single_ax_panchor_false():
+    # Note that this differs from the tests above with panchor=False because
+    # there use_gridspec is actually ineffective: passing *ax* as lists always
+    # disables use_gridspec.
+    ax = plt.subplot(111, anchor='N')
+    plt.imshow([[0, 1]])
+    plt.colorbar(panchor=False)
+    assert ax.get_anchor() == 'N'
+
+
+@pytest.mark.parametrize('constrained', [False, True],
+                         ids=['standard', 'constrained'])
+def test_colorbar_single_ax_panchor_east(constrained):
+    fig = plt.figure(constrained_layout=constrained)
+    ax = fig.add_subplot(111, anchor='N')
+    plt.imshow([[0, 1]])
+    plt.colorbar(panchor='E')
+    assert ax.get_anchor() == 'E'
+
+
+@image_comparison(['contour_colorbar.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.054)
+def test_contour_colorbar():
+    fig, ax = plt.subplots(figsize=(4, 2))
+    data = np.arange(1200).reshape(30, 40) - 500
+    levels = np.array([0, 200, 400, 600, 800, 1000, 1200]) - 500
+
+    CS = ax.contour(data, levels=levels, extend='both')
+    fig.colorbar(CS, orientation='horizontal', extend='both')
+    fig.colorbar(CS, orientation='vertical')
+
+
+@image_comparison(['cbar_with_subplots_adjust.png'], remove_text=True,
                   savefig_kwarg={'dpi': 40})
 def test_gridspec_make_colorbar():
     plt.figure()
@@ -195,64 +264,978 @@ def test_gridspec_make_colorbar():
     plt.subplots_adjust(top=0.95, right=0.95, bottom=0.2, hspace=0.25)
 
 
-@image_comparison(baseline_images=['colorbar_single_scatter'],
-                  extensions=['png'], remove_text=True,
+@image_comparison(['colorbar_single_scatter.png'], remove_text=True,
                   savefig_kwarg={'dpi': 40})
 def test_colorbar_single_scatter():
     # Issue #2642: if a path collection has only one entry,
     # the norm scaling within the colorbar must ensure a
     # finite range, otherwise a zero denominator will occur in _locate.
     plt.figure()
-    x = np.arange(4)
-    y = x.copy()
-    z = np.ma.masked_greater(np.arange(50, 54), 50)
-    cmap = plt.get_cmap('jet', 16)
+    x = y = [0]
+    z = [50]
+    cmap = mpl.colormaps['jet'].resampled(16)
     cs = plt.scatter(x, y, z, c=z, cmap=cmap)
     plt.colorbar(cs)
 
 
-def _test_remove_from_figure(use_gridspec):
-    """
-    Test `remove_from_figure` with the specified ``use_gridspec`` setting
-    """
+@pytest.mark.parametrize('use_gridspec', [True, False])
+@pytest.mark.parametrize('nested_gridspecs', [True, False])
+def test_remove_from_figure(nested_gridspecs, use_gridspec):
+    """Test `remove` with the specified ``use_gridspec`` setting."""
     fig = plt.figure()
-    ax = fig.add_subplot(111)
-    sc = ax.scatter([1, 2], [3, 4], cmap="spring")
+    if nested_gridspecs:
+        gs = fig.add_gridspec(2, 2)[1, 1].subgridspec(2, 2)
+        ax = fig.add_subplot(gs[1, 1])
+    else:
+        ax = fig.add_subplot()
+    sc = ax.scatter([1, 2], [3, 4])
     sc.set_array(np.array([5, 6]))
-    pre_figbox = np.array(ax.figbox)
+    pre_position = ax.get_position()
     cb = fig.colorbar(sc, use_gridspec=use_gridspec)
     fig.subplots_adjust()
     cb.remove()
     fig.subplots_adjust()
-    post_figbox = np.array(ax.figbox)
-    assert (pre_figbox == post_figbox).all()
+    post_position = ax.get_position()
+    assert (pre_position.get_points() == post_position.get_points()).all()
+
+
+def test_remove_from_figure_cl():
+    """Test `remove` with constrained_layout."""
+    fig, ax = plt.subplots(constrained_layout=True)
+    sc = ax.scatter([1, 2], [3, 4])
+    sc.set_array(np.array([5, 6]))
+    fig.draw_without_rendering()
+    pre_position = ax.get_position()
+    cb = fig.colorbar(sc)
+    cb.remove()
+    fig.draw_without_rendering()
+    post_position = ax.get_position()
+    np.testing.assert_allclose(pre_position.get_points(),
+                               post_position.get_points())
+
+
+def test_colorbarbase():
+    # smoke test from #3805
+    ax = plt.gca()
+    Colorbar(ax, cmap=plt.colormaps["bone"])
+
+
+def test_parentless_mappable():
+    pc = mpl.collections.PatchCollection([], cmap=plt.get_cmap('viridis'), array=[])
+    with pytest.raises(ValueError, match='Unable to determine Axes to steal'):
+        plt.colorbar(pc)
+
+
+@image_comparison(['colorbar_closed_patch.png'], remove_text=True)
+def test_colorbar_closed_patch():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    fig = plt.figure(figsize=(8, 6))
+    ax1 = fig.add_axes([0.05, 0.85, 0.9, 0.1])
+    ax2 = fig.add_axes([0.1, 0.65, 0.75, 0.1])
+    ax3 = fig.add_axes([0.05, 0.45, 0.9, 0.1])
+    ax4 = fig.add_axes([0.05, 0.25, 0.9, 0.1])
+    ax5 = fig.add_axes([0.05, 0.05, 0.9, 0.1])
+
+    cmap = mpl.colormaps["RdBu"].resampled(5)
+
+    im = ax1.pcolormesh(np.linspace(0, 10, 16).reshape((4, 4)), cmap=cmap)
+
+    # The use of a "values" kwarg here is unusual.  It works only
+    # because it is matched to the data range in the image and to
+    # the number of colors in the LUT.
+    values = np.linspace(0, 10, 5)
+    cbar_kw = dict(orientation='horizontal', values=values, ticks=[])
+
+    # The wide line is to show that the closed path is being handled
+    # correctly.  See PR #4186.
+    with rc_context({'axes.linewidth': 16}):
+        plt.colorbar(im, cax=ax2, extend='both', extendfrac=0.5, **cbar_kw)
+        plt.colorbar(im, cax=ax3, extend='both', **cbar_kw)
+        plt.colorbar(im, cax=ax4, extend='both', extendrect=True, **cbar_kw)
+        plt.colorbar(im, cax=ax5, extend='neither', **cbar_kw)
+
+
+def test_colorbar_ticks():
+    # test fix for #5673
+    fig, ax = plt.subplots()
+    x = np.arange(-3.0, 4.001)
+    y = np.arange(-4.0, 3.001)
+    X, Y = np.meshgrid(x, y)
+    Z = X * Y
+    clevs = np.array([-12, -5, 0, 5, 12], dtype=float)
+    colors = ['r', 'g', 'b', 'c']
+    cs = ax.contourf(X, Y, Z, clevs, colors=colors, extend='neither')
+    cbar = fig.colorbar(cs, ax=ax, orientation='horizontal', ticks=clevs)
+    assert len(cbar.ax.xaxis.get_ticklocs()) == len(clevs)
+
+
+def test_colorbar_minorticks_on_off():
+    # test for github issue #11510 and PR #11584
+    np.random.seed(seed=12345)
+    data = np.random.randn(20, 20)
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots()
+        # purposefully setting vmin and vmax to odd fractions
+        # so as to check for the correct locations of the minor ticks
+        im = ax.pcolormesh(data, vmin=-2.3, vmax=3.3)
+
+        cbar = fig.colorbar(im, extend='both')
+        # testing after minorticks_on()
+        cbar.minorticks_on()
+        np.testing.assert_almost_equal(
+            cbar.ax.yaxis.get_minorticklocs(),
+            [-2.2, -1.8, -1.6, -1.4, -1.2, -0.8, -0.6, -0.4, -0.2,
+             0.2, 0.4, 0.6, 0.8, 1.2, 1.4, 1.6, 1.8, 2.2, 2.4, 2.6, 2.8, 3.2])
+        # testing after minorticks_off()
+        cbar.minorticks_off()
+        np.testing.assert_almost_equal(cbar.ax.yaxis.get_minorticklocs(), [])
+
+        im.set_clim(vmin=-1.2, vmax=1.2)
+        cbar.minorticks_on()
+        np.testing.assert_almost_equal(
+            cbar.ax.yaxis.get_minorticklocs(),
+            [-1.2, -1.1, -0.9, -0.8, -0.7, -0.6, -0.4, -0.3, -0.2, -0.1,
+             0.1, 0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1.1, 1.2])
 
+    # tests for github issue #13257 and PR #13265
+    data = np.random.uniform(low=1, high=10, size=(20, 20))
 
-@cleanup
-def test_remove_from_figure_with_gridspec():
+    fig, ax = plt.subplots()
+    im = ax.pcolormesh(data, norm=LogNorm())
+    cbar = fig.colorbar(im)
+    fig.canvas.draw()
+    default_minorticklocks = cbar.ax.yaxis.get_minorticklocs()
+    # test that minorticks turn off for LogNorm
+    cbar.minorticks_off()
+    np.testing.assert_equal(cbar.ax.yaxis.get_minorticklocs(), [])
+
+    # test that minorticks turn back on for LogNorm
+    cbar.minorticks_on()
+    np.testing.assert_equal(cbar.ax.yaxis.get_minorticklocs(),
+                            default_minorticklocks)
+
+    # test issue #13339: minorticks for LogNorm should stay off
+    cbar.minorticks_off()
+    cbar.set_ticks([3, 5, 7, 9])
+    np.testing.assert_equal(cbar.ax.yaxis.get_minorticklocs(), [])
+
+
+def test_cbar_minorticks_for_rc_xyminortickvisible():
     """
-    Make sure that `remove_from_figure` removes the colorbar and properly
-    restores the gridspec
+    issue gh-16468.
+
+    Making sure that minor ticks on the colorbar are turned on
+    (internally) using the cbar.minorticks_on() method when
+    rcParams['xtick.minor.visible'] = True (for horizontal cbar)
+    rcParams['ytick.minor.visible'] = True (for vertical cbar).
+    Using cbar.minorticks_on() ensures that the minor ticks
+    don't overflow into the extend regions of the colorbar.
     """
-    _test_remove_from_figure(True)
 
+    plt.rcParams['ytick.minor.visible'] = True
+    plt.rcParams['xtick.minor.visible'] = True
+
+    vmin, vmax = 0.4, 2.6
+    fig, ax = plt.subplots()
+    im = ax.pcolormesh([[1, 2]], vmin=vmin, vmax=vmax)
+
+    cbar = fig.colorbar(im, extend='both', orientation='vertical')
+    assert cbar.ax.yaxis.get_minorticklocs()[0] >= vmin
+    assert cbar.ax.yaxis.get_minorticklocs()[-1] <= vmax
+
+    cbar = fig.colorbar(im, extend='both', orientation='horizontal')
+    assert cbar.ax.xaxis.get_minorticklocs()[0] >= vmin
+    assert cbar.ax.xaxis.get_minorticklocs()[-1] <= vmax
+
+
+def test_colorbar_autoticks():
+    # Test new autotick modes. Needs to be classic because
+    # non-classic doesn't go this route.
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(2, 1)
+        x = np.arange(-3.0, 4.001)
+        y = np.arange(-4.0, 3.001)
+        X, Y = np.meshgrid(x, y)
+        Z = X * Y
+        Z = Z[:-1, :-1]
+        pcm = ax[0].pcolormesh(X, Y, Z)
+        cbar = fig.colorbar(pcm, ax=ax[0], extend='both',
+                            orientation='vertical')
+
+        pcm = ax[1].pcolormesh(X, Y, Z)
+        cbar2 = fig.colorbar(pcm, ax=ax[1], extend='both',
+                             orientation='vertical', shrink=0.4)
+        # note only -10 to 10 are visible,
+        np.testing.assert_almost_equal(cbar.ax.yaxis.get_ticklocs(),
+                                       np.arange(-15, 16, 5))
+        # note only -10 to 10 are visible
+        np.testing.assert_almost_equal(cbar2.ax.yaxis.get_ticklocs(),
+                                       np.arange(-20, 21, 10))
+
+
+def test_colorbar_autotickslog():
+    # Test new autotick modes...
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots(2, 1)
+        x = np.arange(-3.0, 4.001)
+        y = np.arange(-4.0, 3.001)
+        X, Y = np.meshgrid(x, y)
+        Z = X * Y
+        Z = Z[:-1, :-1]
+        pcm = ax[0].pcolormesh(X, Y, 10**Z, norm=LogNorm())
+        cbar = fig.colorbar(pcm, ax=ax[0], extend='both',
+                            orientation='vertical')
+
+        pcm = ax[1].pcolormesh(X, Y, 10**Z, norm=LogNorm())
+        cbar2 = fig.colorbar(pcm, ax=ax[1], extend='both',
+                             orientation='vertical', shrink=0.4)
+
+        fig.draw_without_rendering()
+        # note only -12 to +12 are visible
+        np.testing.assert_equal(np.log10(cbar.ax.yaxis.get_ticklocs()),
+                                [-18, -12, -6, 0, +6, +12, +18])
+        np.testing.assert_equal(np.log10(cbar2.ax.yaxis.get_ticklocs()),
+                                [-36, -12, 12, +36])
+
+
+def test_colorbar_get_ticks():
+    # test feature for #5792
+    plt.figure()
+    data = np.arange(1200).reshape(30, 40)
+    levels = [0, 200, 400, 600, 800, 1000, 1200]
+
+    plt.contourf(data, levels=levels)
+
+    # testing getter for user set ticks
+    userTicks = plt.colorbar(ticks=[0, 600, 1200])
+    assert userTicks.get_ticks().tolist() == [0, 600, 1200]
+
+    # testing for getter after calling set_ticks
+    userTicks.set_ticks([600, 700, 800])
+    assert userTicks.get_ticks().tolist() == [600, 700, 800]
+
+    # testing for getter after calling set_ticks with some ticks out of bounds
+    # removed #20054: other axes don't trim fixed lists, so colorbars
+    # should not either:
+    # userTicks.set_ticks([600, 1300, 1400, 1500])
+    # assert userTicks.get_ticks().tolist() == [600]
+
+    # testing getter when no ticks are assigned
+    defTicks = plt.colorbar(orientation='horizontal')
+    np.testing.assert_allclose(defTicks.get_ticks().tolist(), levels)
+
+    # test normal ticks and minor ticks
+    fig, ax = plt.subplots()
+    x = np.arange(-3.0, 4.001)
+    y = np.arange(-4.0, 3.001)
+    X, Y = np.meshgrid(x, y)
+    Z = X * Y
+    Z = Z[:-1, :-1]
+    pcm = ax.pcolormesh(X, Y, Z)
+    cbar = fig.colorbar(pcm, ax=ax, extend='both',
+                        orientation='vertical')
+    ticks = cbar.get_ticks()
+    np.testing.assert_allclose(ticks, np.arange(-15, 16, 5))
+    assert len(cbar.get_ticks(minor=True)) == 0
+
+
+@pytest.mark.parametrize("extend", ['both', 'min', 'max'])
+def test_colorbar_lognorm_extension(extend):
+    # Test that colorbar with lognorm is extended correctly
+    f, ax = plt.subplots()
+    cb = Colorbar(ax, norm=LogNorm(vmin=0.1, vmax=1000.0),
+                  orientation='vertical', extend=extend)
+    assert cb._values[0] >= 0.0
+
+
+def test_colorbar_powernorm_extension():
+    # Test that colorbar with powernorm is extended correctly
+    # Just a smoke test that adding the colorbar doesn't raise an error or warning
+    fig, ax = plt.subplots()
+    Colorbar(ax, norm=PowerNorm(gamma=0.5, vmin=0.0, vmax=1.0),
+             orientation='vertical', extend='both')
+
+
+def test_colorbar_axes_kw():
+    # test fix for #8493: This does only test, that axes-related keywords pass
+    # and do not raise an exception.
+    plt.figure()
+    plt.imshow([[1, 2], [3, 4]])
+    plt.colorbar(orientation='horizontal', fraction=0.2, pad=0.2, shrink=0.5,
+                 aspect=10, anchor=(0., 0.), panchor=(0., 1.))
+
+
+def test_colorbar_log_minortick_labels():
+    with rc_context({'_internal.classic_mode': False}):
+        fig, ax = plt.subplots()
+        pcm = ax.imshow([[10000, 50000]], norm=LogNorm())
+        cb = fig.colorbar(pcm)
+        fig.canvas.draw()
+        lb = [l.get_text() for l in cb.ax.yaxis.get_ticklabels(which='both')]
+        expected = [r'$\mathdefault{10^{4}}$',
+                    r'$\mathdefault{2\times10^{4}}$',
+                    r'$\mathdefault{3\times10^{4}}$',
+                    r'$\mathdefault{4\times10^{4}}$']
+        for exp in expected:
+            assert exp in lb
+
+
+def test_colorbar_renorm():
+    x, y = np.ogrid[-4:4:31j, -4:4:31j]
+    z = 120000*np.exp(-x**2 - y**2)
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(z)
+    cbar = fig.colorbar(im)
+    np.testing.assert_allclose(cbar.ax.yaxis.get_majorticklocs(),
+                               np.arange(0, 120000.1, 20000))
+
+    cbar.set_ticks([1, 2, 3])
+    assert isinstance(cbar.locator, FixedLocator)
+
+    norm = LogNorm(z.min(), z.max())
+    im.set_norm(norm)
+    np.testing.assert_allclose(cbar.ax.yaxis.get_majorticklocs(),
+                               np.logspace(-9, 6, 16))
+    # note that set_norm removes the FixedLocator...
+    assert np.isclose(cbar.vmin, z.min())
+    cbar.set_ticks([1, 2, 3])
+    assert isinstance(cbar.locator, FixedLocator)
+    np.testing.assert_allclose(cbar.ax.yaxis.get_majorticklocs(),
+                               [1.0, 2.0, 3.0])
+
+    norm = LogNorm(z.min() * 1000, z.max() * 1000)
+    im.set_norm(norm)
+    assert np.isclose(cbar.vmin, z.min() * 1000)
+    assert np.isclose(cbar.vmax, z.max() * 1000)
+
+
+@pytest.mark.parametrize('fmt', ['%4.2e', '{x:.2e}'])
+def test_colorbar_format(fmt):
+    # make sure that format is passed properly
+    x, y = np.ogrid[-4:4:31j, -4:4:31j]
+    z = 120000*np.exp(-x**2 - y**2)
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(z)
+    cbar = fig.colorbar(im, format=fmt)
+    fig.canvas.draw()
+    assert cbar.ax.yaxis.get_ticklabels()[4].get_text() == '8.00e+04'
+
+    # make sure that if we change the clim of the mappable that the
+    # formatting is *not* lost:
+    im.set_clim([4, 200])
+    fig.canvas.draw()
+    assert cbar.ax.yaxis.get_ticklabels()[4].get_text() == '2.00e+02'
+
+    # but if we change the norm:
+    im.set_norm(LogNorm(vmin=0.1, vmax=10))
+    fig.canvas.draw()
+    assert (cbar.ax.yaxis.get_ticklabels()[0].get_text() ==
+            '$\\mathdefault{10^{-2}}$')
+
+
+def test_colorbar_scale_reset():
+    x, y = np.ogrid[-4:4:31j, -4:4:31j]
+    z = 120000*np.exp(-x**2 - y**2)
+
+    fig, ax = plt.subplots()
+    pcm = ax.pcolormesh(z, cmap='RdBu_r', rasterized=True)
+    cbar = fig.colorbar(pcm, ax=ax)
+    cbar.outline.set_edgecolor('red')
+    assert cbar.ax.yaxis.get_scale() == 'linear'
+
+    pcm.set_norm(LogNorm(vmin=1, vmax=100))
+    assert cbar.ax.yaxis.get_scale() == 'log'
+    pcm.set_norm(Normalize(vmin=-20, vmax=20))
+    assert cbar.ax.yaxis.get_scale() == 'linear'
 
-@cleanup
-def test_remove_from_figure_no_gridspec():
+    assert cbar.outline.get_edgecolor() == mcolors.to_rgba('red')
+
+    # log scale with no vmin/vmax set should scale to the data if there
+    # is a mappable already associated with the colorbar, not (0, 1)
+    pcm.norm = LogNorm()
+    assert pcm.norm.vmin == z.min()
+    assert pcm.norm.vmax == z.max()
+
+
+def test_colorbar_get_ticks_2():
+    plt.rcParams['_internal.classic_mode'] = False
+    fig, ax = plt.subplots()
+    pc = ax.pcolormesh([[.05, .95]])
+    cb = fig.colorbar(pc)
+    np.testing.assert_allclose(cb.get_ticks(), [0., 0.2, 0.4, 0.6, 0.8, 1.0])
+
+
+def test_colorbar_inverted_ticks():
+    fig, axs = plt.subplots(2)
+    ax = axs[0]
+    pc = ax.pcolormesh(10**np.arange(1, 5).reshape(2, 2), norm=LogNorm())
+    cbar = fig.colorbar(pc, ax=ax, extend='both')
+    ticks = cbar.get_ticks()
+    cbar.ax.invert_yaxis()
+    np.testing.assert_allclose(ticks, cbar.get_ticks())
+
+    ax = axs[1]
+    pc = ax.pcolormesh(np.arange(1, 5).reshape(2, 2))
+    cbar = fig.colorbar(pc, ax=ax, extend='both')
+    cbar.minorticks_on()
+    ticks = cbar.get_ticks()
+    minorticks = cbar.get_ticks(minor=True)
+    assert isinstance(minorticks, np.ndarray)
+    cbar.ax.invert_yaxis()
+    np.testing.assert_allclose(ticks, cbar.get_ticks())
+    np.testing.assert_allclose(minorticks, cbar.get_ticks(minor=True))
+
+
+def test_mappable_no_alpha():
+    fig, ax = plt.subplots()
+    sm = cm.ScalarMappable(norm=mcolors.Normalize(), cmap='viridis')
+    fig.colorbar(sm, ax=ax)
+    sm.set_cmap('plasma')
+    plt.draw()
+
+
+def test_mappable_2d_alpha():
+    fig, ax = plt.subplots()
+    x = np.arange(1, 5).reshape(2, 2)/4
+    pc = ax.pcolormesh(x, alpha=x)
+    cb = fig.colorbar(pc, ax=ax)
+    # The colorbar's alpha should be None and the mappable should still have
+    # the original alpha array
+    assert cb.alpha is None
+    assert pc.get_alpha() is x
+    fig.draw_without_rendering()
+
+
+def test_colorbar_label():
     """
-    Make sure that `remove_from_figure` removes a colorbar that was created
-    without modifying the gridspec
+    Test the label parameter. It should just be mapped to the xlabel/ylabel of
+    the axes, depending on the orientation.
     """
-    _test_remove_from_figure(False)
+    fig, ax = plt.subplots()
+    im = ax.imshow([[1, 2], [3, 4]])
+    cbar = fig.colorbar(im, label='cbar')
+    assert cbar.ax.get_ylabel() == 'cbar'
+    cbar.set_label(None)
+    assert cbar.ax.get_ylabel() == ''
+    cbar.set_label('cbar 2')
+    assert cbar.ax.get_ylabel() == 'cbar 2'
 
+    cbar2 = fig.colorbar(im, label=None)
+    assert cbar2.ax.get_ylabel() == ''
 
-@cleanup
-def test_colorbarbase():
-    # smoke test from #3805
-    ax = plt.gca()
-    ColorbarBase(ax, plt.cm.bone)
+    cbar3 = fig.colorbar(im, orientation='horizontal', label='horizontal cbar')
+    assert cbar3.ax.get_xlabel() == 'horizontal cbar'
+
+
+@image_comparison(['colorbar_keeping_xlabel.png'], style='mpl20')
+def test_keeping_xlabel():
+    # github issue #23398 - xlabels being ignored in colorbar axis
+    arr = np.arange(25).reshape((5, 5))
+    fig, ax = plt.subplots()
+    im = ax.imshow(arr)
+    cbar = plt.colorbar(im)
+    cbar.ax.set_xlabel('Visible Xlabel')
+    cbar.set_label('YLabel')
+
+
+@pytest.mark.parametrize("clim", [(-20000, 20000), (-32768, 0)])
+def test_colorbar_int(clim):
+    # Check that we cast to float early enough to not
+    # overflow ``int16(20000) - int16(-20000)`` or
+    # run into ``abs(int16(-32768)) == -32768``.
+    fig, ax = plt.subplots()
+    im = ax.imshow([[*map(np.int16, clim)]])
+    fig.colorbar(im)
+    assert (im.norm.vmin, im.norm.vmax) == clim
+
+
+def test_anchored_cbar_position_using_specgrid():
+    data = np.arange(1200).reshape(30, 40)
+    levels = [0, 200, 400, 600, 800, 1000, 1200]
+    shrink = 0.5
+    anchor_y = 0.3
+    # right
+    fig, ax = plt.subplots()
+    cs = ax.contourf(data, levels=levels)
+    cbar = plt.colorbar(
+            cs, ax=ax, use_gridspec=True,
+            location='right', anchor=(1, anchor_y), shrink=shrink)
+
+    # the bottom left corner of one ax is (x0, y0)
+    # the top right corner of one ax is (x1, y1)
+    # p0: the vertical / horizontal position of anchor
+    x0, y0, x1, y1 = ax.get_position().extents
+    cx0, cy0, cx1, cy1 = cbar.ax.get_position().extents
+    p0 = (y1 - y0) * anchor_y + y0
+
+    np.testing.assert_allclose(
+            [cy1, cy0],
+            [y1 * shrink + (1 - shrink) * p0, p0 * (1 - shrink) + y0 * shrink])
+
+    # left
+    fig, ax = plt.subplots()
+    cs = ax.contourf(data, levels=levels)
+    cbar = plt.colorbar(
+            cs, ax=ax, use_gridspec=True,
+            location='left', anchor=(1, anchor_y), shrink=shrink)
+
+    # the bottom left corner of one ax is (x0, y0)
+    # the top right corner of one ax is (x1, y1)
+    # p0: the vertical / horizontal position of anchor
+    x0, y0, x1, y1 = ax.get_position().extents
+    cx0, cy0, cx1, cy1 = cbar.ax.get_position().extents
+    p0 = (y1 - y0) * anchor_y + y0
+
+    np.testing.assert_allclose(
+            [cy1, cy0],
+            [y1 * shrink + (1 - shrink) * p0, p0 * (1 - shrink) + y0 * shrink])
+
+    # top
+    shrink = 0.5
+    anchor_x = 0.3
+    fig, ax = plt.subplots()
+    cs = ax.contourf(data, levels=levels)
+    cbar = plt.colorbar(
+            cs, ax=ax, use_gridspec=True,
+            location='top', anchor=(anchor_x, 1), shrink=shrink)
+
+    # the bottom left corner of one ax is (x0, y0)
+    # the top right corner of one ax is (x1, y1)
+    # p0: the vertical / horizontal position of anchor
+    x0, y0, x1, y1 = ax.get_position().extents
+    cx0, cy0, cx1, cy1 = cbar.ax.get_position().extents
+    p0 = (x1 - x0) * anchor_x + x0
+
+    np.testing.assert_allclose(
+            [cx1, cx0],
+            [x1 * shrink + (1 - shrink) * p0, p0 * (1 - shrink) + x0 * shrink])
+
+    # bottom
+    shrink = 0.5
+    anchor_x = 0.3
+    fig, ax = plt.subplots()
+    cs = ax.contourf(data, levels=levels)
+    cbar = plt.colorbar(
+            cs, ax=ax, use_gridspec=True,
+            location='bottom', anchor=(anchor_x, 1), shrink=shrink)
+
+    # the bottom left corner of one ax is (x0, y0)
+    # the top right corner of one ax is (x1, y1)
+    # p0: the vertical / horizontal position of anchor
+    x0, y0, x1, y1 = ax.get_position().extents
+    cx0, cy0, cx1, cy1 = cbar.ax.get_position().extents
+    p0 = (x1 - x0) * anchor_x + x0
+
+    np.testing.assert_allclose(
+            [cx1, cx0],
+            [x1 * shrink + (1 - shrink) * p0, p0 * (1 - shrink) + x0 * shrink])
+
+
+@image_comparison(['colorbar_change_lim_scale.png'], remove_text=True,
+                  style='mpl20')
+def test_colorbar_change_lim_scale():
+    fig, ax = plt.subplots(1, 2, constrained_layout=True)
+    pc = ax[0].pcolormesh(np.arange(100).reshape(10, 10)+1)
+    cb = fig.colorbar(pc, ax=ax[0], extend='both')
+    cb.ax.set_yscale('log')
+
+    pc = ax[1].pcolormesh(np.arange(100).reshape(10, 10)+1)
+    cb = fig.colorbar(pc, ax=ax[1], extend='both')
+    cb.ax.set_ylim([20, 90])
+
+
+@check_figures_equal()
+def test_axes_handles_same_functions(fig_ref, fig_test):
+    # prove that cax and cb.ax are functionally the same
+    for nn, fig in enumerate([fig_ref, fig_test]):
+        ax = fig.add_subplot()
+        pc = ax.pcolormesh(np.ones(300).reshape(10, 30))
+        cax = fig.add_axes([0.9, 0.1, 0.03, 0.8])
+        cb = fig.colorbar(pc, cax=cax)
+        if nn == 0:
+            caxx = cax
+        else:
+            caxx = cb.ax
+        caxx.set_yticks(np.arange(0, 20))
+        caxx.set_yscale('log')
+        caxx.set_position([0.92, 0.1, 0.02, 0.7])
+
+
+def test_inset_colorbar_layout():
+    fig, ax = plt.subplots(constrained_layout=True, figsize=(3, 6))
+    pc = ax.imshow(np.arange(100).reshape(10, 10))
+    cax = ax.inset_axes([1.02, 0.1, 0.03, 0.8])
+    cb = fig.colorbar(pc, cax=cax)
+
+    fig.draw_without_rendering()
+    # make sure this is in the figure. In the colorbar swapping
+    # it was being dropped from the list of children...
+    np.testing.assert_allclose(cb.ax.get_position().bounds,
+                               [0.87, 0.342, 0.0237, 0.315], atol=0.01)
+    assert cb.ax in ax.child_axes
+
+
+@image_comparison(['colorbar_twoslope.png'], remove_text=True,
+                  style='mpl20')
+def test_twoslope_colorbar():
+    # Note that the second tick = 20, and should be in the middle
+    # of the colorbar (white)
+    # There should be no tick right at the bottom, nor at the top.
+    fig, ax = plt.subplots()
+
+    norm = mcolors.TwoSlopeNorm(20, 5, 95)
+    pc = ax.pcolormesh(np.arange(1, 11), np.arange(1, 11),
+                       np.arange(100).reshape(10, 10),
+                       norm=norm, cmap='RdBu_r')
+    fig.colorbar(pc)
+
+
+@check_figures_equal()
+def test_remove_cb_whose_mappable_has_no_figure(fig_ref, fig_test):
+    ax = fig_test.add_subplot()
+    cb = fig_test.colorbar(cm.ScalarMappable(), cax=ax)
+    cb.remove()
+
+
+def test_aspects():
+    fig, ax = plt.subplots(3, 2, figsize=(8, 8))
+    aspects = [20, 20, 10]
+    extends = ['neither', 'both', 'both']
+    cb = [[None, None, None], [None, None, None]]
+    for nn, orient in enumerate(['vertical', 'horizontal']):
+        for mm, (aspect, extend) in enumerate(zip(aspects, extends)):
+            pc = ax[mm, nn].pcolormesh(np.arange(100).reshape(10, 10))
+            cb[nn][mm] = fig.colorbar(pc, ax=ax[mm, nn], orientation=orient,
+                                      aspect=aspect, extend=extend)
+    fig.draw_without_rendering()
+    # check the extends are right ratio:
+    np.testing.assert_almost_equal(cb[0][1].ax.get_position().height,
+                                   cb[0][0].ax.get_position().height * 0.9,
+                                   decimal=2)
+    # horizontal
+    np.testing.assert_almost_equal(cb[1][1].ax.get_position().width,
+                                   cb[1][0].ax.get_position().width * 0.9,
+                                   decimal=2)
+    # check correct aspect:
+    pos = cb[0][0].ax.get_position(original=False)
+    np.testing.assert_almost_equal(pos.height, pos.width * 20, decimal=2)
+    pos = cb[1][0].ax.get_position(original=False)
+    np.testing.assert_almost_equal(pos.height * 20, pos.width, decimal=2)
+    # check twice as wide if aspect is 10 instead of 20
+    np.testing.assert_almost_equal(
+        cb[0][0].ax.get_position(original=False).width * 2,
+        cb[0][2].ax.get_position(original=False).width, decimal=2)
+    np.testing.assert_almost_equal(
+        cb[1][0].ax.get_position(original=False).height * 2,
+        cb[1][2].ax.get_position(original=False).height, decimal=2)
+
+
+@image_comparison(['proportional_colorbars.png'], remove_text=True,
+                  style='mpl20')
+def test_proportional_colorbars():
+
+    x = y = np.arange(-3.0, 3.01, 0.025)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    levels = [-1.25, -0.5, -0.125, 0.125, 0.5, 1.25]
+    cmap = mcolors.ListedColormap(
+        ['0.3', '0.5', 'white', 'lightblue', 'steelblue'])
+    cmap.set_under('darkred')
+    cmap.set_over('crimson')
+    norm = mcolors.BoundaryNorm(levels, cmap.N)
+
+    extends = ['neither', 'both']
+    spacings = ['uniform', 'proportional']
+    fig, axs = plt.subplots(2, 2)
+    for i in range(2):
+        for j in range(2):
+            CS3 = axs[i, j].contourf(X, Y, Z, levels, cmap=cmap, norm=norm,
+                                     extend=extends[i])
+            fig.colorbar(CS3, spacing=spacings[j], ax=axs[i, j])
+
+
+@image_comparison(['extend_drawedges.png'], remove_text=True, style='mpl20')
+def test_colorbar_extend_drawedges():
+    params = [
+        ('both', 1, [[[1.1, 0], [1.1, 1]],
+                     [[2, 0], [2, 1]],
+                     [[2.9, 0], [2.9, 1]]]),
+        ('min', 0, [[[1.1, 0], [1.1, 1]],
+                    [[2, 0], [2, 1]]]),
+        ('max', 0, [[[2, 0], [2, 1]],
+                    [[2.9, 0], [2.9, 1]]]),
+        ('neither', -1, [[[2, 0], [2, 1]]]),
+    ]
+
+    plt.rcParams['axes.linewidth'] = 2
+
+    fig = plt.figure(figsize=(10, 4))
+    subfigs = fig.subfigures(1, 2)
+
+    for orientation, subfig in zip(['horizontal', 'vertical'], subfigs):
+        if orientation == 'horizontal':
+            axs = subfig.subplots(4, 1)
+        else:
+            axs = subfig.subplots(1, 4)
+        fig.subplots_adjust(left=0.05, bottom=0.05, right=0.95, top=0.95)
+
+        for ax, (extend, coloroffset, res) in zip(axs, params):
+            cmap = mpl.colormaps["viridis"]
+            bounds = np.arange(5)
+            nb_colors = len(bounds) + coloroffset
+            colors = cmap(np.linspace(100, 255, nb_colors).astype(int))
+            cmap, norm = mcolors.from_levels_and_colors(bounds, colors,
+                                                        extend=extend)
+
+            cbar = Colorbar(ax, cmap=cmap, norm=norm, orientation=orientation,
+                            drawedges=True)
+            # Set limits such that only two colours are visible, and the
+            # dividers would be outside the Axes, to ensure that a) they are
+            # not drawn outside, and b) a divider still appears between the
+            # main colour and the extension.
+            if orientation == 'horizontal':
+                ax.set_xlim(1.1, 2.9)
+            else:
+                ax.set_ylim(1.1, 2.9)
+                res = np.array(res)[:, :, [1, 0]]
+            np.testing.assert_array_equal(cbar.dividers.get_segments(), res)
+
+
+@image_comparison(['contourf_extend_patches.png'], remove_text=True,
+                  style='mpl20')
+def test_colorbar_contourf_extend_patches():
+    params = [
+        ('both', 5, ['\\', '//']),
+        ('min', 7, ['+']),
+        ('max', 2, ['|', '-', '/', '\\', '//']),
+        ('neither', 10, ['//', '\\', '||']),
+    ]
+
+    plt.rcParams['axes.linewidth'] = 2
+
+    fig = plt.figure(figsize=(10, 4))
+    subfigs = fig.subfigures(1, 2)
+    fig.subplots_adjust(left=0.05, bottom=0.05, right=0.95, top=0.95)
+
+    x = np.linspace(-2, 3, 50)
+    y = np.linspace(-2, 3, 30)
+    z = np.cos(x[np.newaxis, :]) + np.sin(y[:, np.newaxis])
+
+    cmap = mpl.colormaps["viridis"]
+    for orientation, subfig in zip(['horizontal', 'vertical'], subfigs):
+        axs = subfig.subplots(2, 2).ravel()
+        for ax, (extend, levels, hatches) in zip(axs, params):
+            cs = ax.contourf(x, y, z, levels, hatches=hatches,
+                             cmap=cmap, extend=extend)
+            subfig.colorbar(cs, ax=ax, orientation=orientation, fraction=0.4,
+                            extendfrac=0.2, aspect=5)
+
+
+def test_negative_boundarynorm():
+    fig, ax = plt.subplots(figsize=(1, 3))
+    cmap = mpl.colormaps["viridis"]
+
+    clevs = np.arange(-94, -85)
+    norm = BoundaryNorm(clevs, cmap.N)
+    cb = fig.colorbar(cm.ScalarMappable(cmap=cmap, norm=norm), cax=ax)
+    np.testing.assert_allclose(cb.ax.get_ylim(), [clevs[0], clevs[-1]])
+    np.testing.assert_allclose(cb.ax.get_yticks(), clevs)
+
+    clevs = np.arange(85, 94)
+    norm = BoundaryNorm(clevs, cmap.N)
+    cb = fig.colorbar(cm.ScalarMappable(cmap=cmap, norm=norm), cax=ax)
+    np.testing.assert_allclose(cb.ax.get_ylim(), [clevs[0], clevs[-1]])
+    np.testing.assert_allclose(cb.ax.get_yticks(), clevs)
+
+    clevs = np.arange(-3, 3)
+    norm = BoundaryNorm(clevs, cmap.N)
+    cb = fig.colorbar(cm.ScalarMappable(cmap=cmap, norm=norm), cax=ax)
+    np.testing.assert_allclose(cb.ax.get_ylim(), [clevs[0], clevs[-1]])
+    np.testing.assert_allclose(cb.ax.get_yticks(), clevs)
+
+    clevs = np.arange(-8, 1)
+    norm = BoundaryNorm(clevs, cmap.N)
+    cb = fig.colorbar(cm.ScalarMappable(cmap=cmap, norm=norm), cax=ax)
+    np.testing.assert_allclose(cb.ax.get_ylim(), [clevs[0], clevs[-1]])
+    np.testing.assert_allclose(cb.ax.get_yticks(), clevs)
+
+
+def test_centerednorm():
+    # Test default centered norm gets expanded with non-singular limits
+    # when plot data is all equal (autoscale halfrange == 0)
+    fig, ax = plt.subplots(figsize=(1, 3))
+
+    norm = mcolors.CenteredNorm()
+    mappable = ax.pcolormesh(np.zeros((3, 3)), norm=norm)
+    fig.colorbar(mappable)
+    assert (norm.vmin, norm.vmax) == (-0.1, 0.1)
+
+
+@image_comparison(['nonorm_colorbars.svg'], style='mpl20')
+def test_nonorm():
+    plt.rcParams['svg.fonttype'] = 'none'
+    data = [1, 2, 3, 4, 5]
+
+    fig, ax = plt.subplots(figsize=(6, 1))
+    fig.subplots_adjust(bottom=0.5)
+
+    norm = NoNorm(vmin=min(data), vmax=max(data))
+    cmap = mpl.colormaps["viridis"].resampled(len(data))
+    mappable = cm.ScalarMappable(norm=norm, cmap=cmap)
+    cbar = fig.colorbar(mappable, cax=ax, orientation="horizontal")
+
+
+@image_comparison(['test_boundaries.png'], remove_text=True,
+                  style='mpl20')
+def test_boundaries():
+    np.random.seed(seed=19680808)
+    fig, ax = plt.subplots(figsize=(2, 2))
+    pc = ax.pcolormesh(np.random.randn(10, 10), cmap='RdBu_r')
+    cb = fig.colorbar(pc, ax=ax, boundaries=np.linspace(-3, 3, 7))
+
+
+def test_colorbar_no_warning_rcparams_grid_true():
+    # github issue #21723 - If mpl style has 'axes.grid' = True,
+    # fig.colorbar raises a warning about Auto-removal of grids
+    # by pcolor() and pcolormesh(). This is fixed by PR #22216.
+    plt.rcParams['axes.grid'] = True
+    fig, ax = plt.subplots()
+    ax.grid(False)
+    im = ax.pcolormesh([0, 1], [0, 1], [[1]])
+    # make sure that no warning is raised by fig.colorbar
+    fig.colorbar(im)
+
+
+def test_colorbar_set_formatter_locator():
+    # check that the locator properties echo what is on the axis:
+    fig, ax = plt.subplots()
+    pc = ax.pcolormesh(np.random.randn(10, 10))
+    cb = fig.colorbar(pc)
+    cb.ax.yaxis.set_major_locator(FixedLocator(np.arange(10)))
+    cb.ax.yaxis.set_minor_locator(FixedLocator(np.arange(0, 10, 0.2)))
+    assert cb.locator is cb.ax.yaxis.get_major_locator()
+    assert cb.minorlocator is cb.ax.yaxis.get_minor_locator()
+    cb.ax.yaxis.set_major_formatter(LogFormatter())
+    cb.ax.yaxis.set_minor_formatter(LogFormatter())
+    assert cb.formatter is cb.ax.yaxis.get_major_formatter()
+    assert cb.minorformatter is cb.ax.yaxis.get_minor_formatter()
+
+    # check that the setter works as expected:
+    loc = FixedLocator(np.arange(7))
+    cb.locator = loc
+    assert cb.ax.yaxis.get_major_locator() is loc
+    loc = FixedLocator(np.arange(0, 7, 0.1))
+    cb.minorlocator = loc
+    assert cb.ax.yaxis.get_minor_locator() is loc
+    fmt = LogFormatter()
+    cb.formatter = fmt
+    assert cb.ax.yaxis.get_major_formatter() is fmt
+    fmt = LogFormatter()
+    cb.minorformatter = fmt
+    assert cb.ax.yaxis.get_minor_formatter() is fmt
+    assert cb.long_axis is cb.ax.yaxis
+
+
+@image_comparison(['colorbar_extend_alpha.png'], remove_text=True,
+                  savefig_kwarg={'dpi': 40})
+def test_colorbar_extend_alpha():
+    fig, ax = plt.subplots()
+    im = ax.imshow([[0, 1], [2, 3]], alpha=0.3, interpolation="none")
+    fig.colorbar(im, extend='both', boundaries=[0.5, 1.5, 2.5])
+
+
+def test_offset_text_loc():
+    plt.style.use('mpl20')
+    fig, ax = plt.subplots()
+    np.random.seed(seed=19680808)
+    pc = ax.pcolormesh(np.random.randn(10, 10)*1e6)
+    cb = fig.colorbar(pc, location='right', extend='max')
+    fig.draw_without_rendering()
+    # check that the offsetText is in the proper place above the
+    # colorbar axes.  In this case the colorbar axes is the same
+    # height as the parent, so use the parents bbox.
+    assert cb.ax.yaxis.offsetText.get_position()[1] > ax.bbox.y1
+
+
+def test_title_text_loc():
+    plt.style.use('mpl20')
+    fig, ax = plt.subplots()
+    np.random.seed(seed=19680808)
+    pc = ax.pcolormesh(np.random.randn(10, 10))
+    cb = fig.colorbar(pc, location='right', extend='max')
+    cb.ax.set_title('Aardvark')
+    fig.draw_without_rendering()
+    # check that the title is in the proper place above the
+    # colorbar axes, including its extend triangles....
+    assert (cb.ax.title.get_window_extent(fig.canvas.get_renderer()).ymax >
+            cb.ax.spines['outline'].get_window_extent().ymax)
+
+
+@check_figures_equal()
+def test_passing_location(fig_ref, fig_test):
+    ax_ref = fig_ref.add_subplot()
+    im = ax_ref.imshow([[0, 1], [2, 3]])
+    ax_ref.get_figure().colorbar(im, cax=ax_ref.inset_axes([0, 1.05, 1, 0.05]),
+                                 orientation="horizontal", ticklocation="top")
+    ax_test = fig_test.add_subplot()
+    im = ax_test.imshow([[0, 1], [2, 3]])
+    ax_test.get_figure().colorbar(im, cax=ax_test.inset_axes([0, 1.05, 1, 0.05]),
+                                  location="top")
+
+
+@pytest.mark.parametrize("kwargs,error,message", [
+    ({'location': 'top', 'orientation': 'vertical'}, TypeError,
+     "location and orientation are mutually exclusive"),
+    ({'location': 'top', 'orientation': 'vertical', 'cax': True}, TypeError,
+     "location and orientation are mutually exclusive"),  # Different to above
+    ({'ticklocation': 'top', 'orientation': 'vertical', 'cax': True},
+     ValueError, "'top' is not a valid value for position"),
+    ({'location': 'top', 'extendfrac': (0, None)}, ValueError,
+     "invalid value for extendfrac"),
+    ])
+def test_colorbar_errors(kwargs, error, message):
+    fig, ax = plt.subplots()
+    im = ax.imshow([[0, 1], [2, 3]])
+    if kwargs.get('cax', None) is True:
+        kwargs['cax'] = ax.inset_axes([0, 1.05, 1, 0.05])
+    with pytest.raises(error, match=message):
+        fig.colorbar(im, **kwargs)
+
+
+def test_colorbar_axes_parameters():
+    fig, ax = plt.subplots(2)
+    im = ax[0].imshow([[0, 1], [2, 3]])
+    # colorbar should accept any form of axes sequence:
+    fig.colorbar(im, ax=ax)
+    fig.colorbar(im, ax=ax[0])
+    fig.colorbar(im, ax=[_ax for _ax in ax])
+    fig.colorbar(im, ax=(ax[0], ax[1]))
+    fig.colorbar(im, ax={i: _ax for i, _ax in enumerate(ax)}.values())
+    fig.draw_without_rendering()
+
+
+def test_colorbar_wrong_figure():
+    # If we decide in the future to disallow calling colorbar() on the "wrong" figure,
+    # just delete this test.
+    fig_tl = plt.figure(layout="tight")
+    fig_cl = plt.figure(layout="constrained")
+    im = fig_cl.add_subplot().imshow([[0, 1]])
+    # Make sure this doesn't try to setup a gridspec-controlled colorbar on fig_cl,
+    # which would crash CL.
+    with pytest.warns(UserWarning, match="different Figure"):
+        fig_tl.colorbar(im)
+    fig_tl.draw_without_rendering()
+    fig_cl.draw_without_rendering()
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_colorbar_format_string_and_old():
+    plt.imshow([[0, 1]])
+    cb = plt.colorbar(format="{x}%")
+    assert isinstance(cb._formatter, StrMethodFormatter)
diff --git a/lib/matplotlib/tests/test_colors.py b/lib/matplotlib/tests/test_colors.py
index 15c7137e2966..df3f65bdb2dc 100644
--- a/lib/matplotlib/tests/test_colors.py
+++ b/lib/matplotlib/tests/test_colors.py
@@ -1,53 +1,513 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import copy
 import itertools
-from distutils.version import LooseVersion as V
-
-from nose.tools import assert_raises
+import unittest.mock
 
+from io import BytesIO
 import numpy as np
-from numpy.testing.utils import assert_array_equal, assert_array_almost_equal
+from PIL import Image
+import pytest
+import base64
+
+from numpy.testing import assert_array_equal, assert_array_almost_equal
 
+from matplotlib import cbook, cm
+import matplotlib
+import matplotlib as mpl
 import matplotlib.colors as mcolors
-import matplotlib.cm as cm
-import matplotlib.cbook as cbook
+import matplotlib.colorbar as mcolorbar
+import matplotlib.colorizer as mcolorizer
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import (image_comparison,
-                                           cleanup, knownfailureif)
+import matplotlib.scale as mscale
+from matplotlib.rcsetup import cycler
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from matplotlib.colors import is_color_like, to_rgba_array, ListedColormap
+
+
+@pytest.mark.parametrize('N, result', [
+    (5, [1, .6, .2, .1, 0]),
+    (2, [1, 0]),
+    (1, [0]),
+])
+def test_create_lookup_table(N, result):
+    data = [(0.0, 1.0, 1.0), (0.5, 0.2, 0.2), (1.0, 0.0, 0.0)]
+    assert_array_almost_equal(mcolors._create_lookup_table(N, data), result)
+
+
+@pytest.mark.parametrize("dtype", [np.uint8, int, np.float16, float])
+def test_index_dtype(dtype):
+    # We use subtraction in the indexing, so need to verify that uint8 works
+    cm = mpl.colormaps["viridis"]
+    assert_array_equal(cm(dtype(0)), cm(0))
+
+
+def test_resampled():
+    """
+    GitHub issue #6025 pointed to incorrect ListedColormap.resampled;
+    here we test the method for LinearSegmentedColormap as well.
+    """
+    n = 101
+    colorlist = np.empty((n, 4), float)
+    colorlist[:, 0] = np.linspace(0, 1, n)
+    colorlist[:, 1] = 0.2
+    colorlist[:, 2] = np.linspace(1, 0, n)
+    colorlist[:, 3] = 0.7
+    lsc = mcolors.LinearSegmentedColormap.from_list('lsc', colorlist)
+    lc = mcolors.ListedColormap(colorlist)
+    # Set some bad values for testing too
+    for cmap in [lsc, lc]:
+        cmap.set_under('r')
+        cmap.set_over('g')
+        cmap.set_bad('b')
+    lsc3 = lsc.resampled(3)
+    lc3 = lc.resampled(3)
+    expected = np.array([[0.0, 0.2, 1.0, 0.7],
+                         [0.5, 0.2, 0.5, 0.7],
+                         [1.0, 0.2, 0.0, 0.7]], float)
+    assert_array_almost_equal(lsc3([0, 0.5, 1]), expected)
+    assert_array_almost_equal(lc3([0, 0.5, 1]), expected)
+    # Test over/under was copied properly
+    assert_array_almost_equal(lsc(np.inf), lsc3(np.inf))
+    assert_array_almost_equal(lsc(-np.inf), lsc3(-np.inf))
+    assert_array_almost_equal(lsc(np.nan), lsc3(np.nan))
+    assert_array_almost_equal(lc(np.inf), lc3(np.inf))
+    assert_array_almost_equal(lc(-np.inf), lc3(-np.inf))
+    assert_array_almost_equal(lc(np.nan), lc3(np.nan))
+
+
+def test_monochrome():
+    assert mcolors.ListedColormap(["red"]).monochrome
+    assert mcolors.ListedColormap(["red"] * 5).monochrome
+    assert not mcolors.ListedColormap(["red", "green"]).monochrome
+
+
+def test_colormaps_get_cmap():
+    cr = mpl.colormaps
+
+    # check str, and Colormap pass
+    assert cr.get_cmap('plasma') == cr["plasma"]
+    assert cr.get_cmap(cr["magma"]) == cr["magma"]
+
+    # check default
+    assert cr.get_cmap(None) == cr[mpl.rcParams['image.cmap']]
+
+    # check ValueError on bad name
+    bad_cmap = 'AardvarksAreAwkward'
+    with pytest.raises(ValueError, match=bad_cmap):
+        cr.get_cmap(bad_cmap)
+
+    # check TypeError on bad type
+    with pytest.raises(TypeError, match='object'):
+        cr.get_cmap(object())
+
+
+def test_double_register_builtin_cmap():
+    name = "viridis"
+    match = f"Re-registering the builtin cmap {name!r}."
+    with pytest.raises(ValueError, match=match):
+        matplotlib.colormaps.register(mpl.colormaps[name], name=name, force=True)
+
+
+def test_colormap_copy():
+    cmap = plt.colormaps["Reds"]
+    copied_cmap = copy.copy(cmap)
+    with np.errstate(invalid='ignore'):
+        ret1 = copied_cmap([-1, 0, .5, 1, np.nan, np.inf])
+    cmap2 = copy.copy(copied_cmap)
+    cmap2.set_bad('g')
+    with np.errstate(invalid='ignore'):
+        ret2 = copied_cmap([-1, 0, .5, 1, np.nan, np.inf])
+    assert_array_equal(ret1, ret2)
+    # again with the .copy method:
+    cmap = plt.colormaps["Reds"]
+    copied_cmap = cmap.copy()
+    with np.errstate(invalid='ignore'):
+        ret1 = copied_cmap([-1, 0, .5, 1, np.nan, np.inf])
+    cmap2 = copy.copy(copied_cmap)
+    cmap2.set_bad('g')
+    with np.errstate(invalid='ignore'):
+        ret2 = copied_cmap([-1, 0, .5, 1, np.nan, np.inf])
+    assert_array_equal(ret1, ret2)
+
+
+def test_colormap_equals():
+    cmap = mpl.colormaps["plasma"]
+    cm_copy = cmap.copy()
+    # different object id's
+    assert cm_copy is not cmap
+    # But the same data should be equal
+    assert cm_copy == cmap
+    # Change the copy
+    cm_copy.set_bad('y')
+    assert cm_copy != cmap
+    # Make sure we can compare different sizes without failure
+    cm_copy._lut = cm_copy._lut[:10, :]
+    assert cm_copy != cmap
+    # Test different names are equal if the lookup table is the same
+    cm_copy = cmap.copy()
+    cm_copy.name = "Test"
+    assert cm_copy == cmap
+    # Test colorbar extends
+    cm_copy = cmap.copy()
+    cm_copy.colorbar_extend = not cmap.colorbar_extend
+    assert cm_copy != cmap
 
 
 def test_colormap_endian():
     """
-    Github issue #1005: a bug in putmask caused erroneous
+    GitHub issue #1005: a bug in putmask caused erroneous
     mapping of 1.0 when input from a non-native-byteorder
     array.
     """
-    cmap = cm.get_cmap("jet")
+    cmap = mpl.colormaps["jet"]
     # Test under, over, and invalid along with values 0 and 1.
     a = [-0.5, 0, 0.5, 1, 1.5, np.nan]
     for dt in ["f2", "f4", "f8"]:
         anative = np.ma.masked_invalid(np.array(a, dtype=dt))
-        aforeign = anative.byteswap().newbyteorder()
-        #print(anative.dtype.isnative, aforeign.dtype.isnative)
+        aforeign = anative.byteswap().view(anative.dtype.newbyteorder())
         assert_array_equal(cmap(anative), cmap(aforeign))
 
 
+def test_colormap_invalid():
+    """
+    GitHub issue #9892: Handling of nan's were getting mapped to under
+    rather than bad. This tests to make sure all invalid values
+    (-inf, nan, inf) are mapped respectively to (under, bad, over).
+    """
+    cmap = mpl.colormaps["plasma"]
+    x = np.array([-np.inf, -1, 0, np.nan, .7, 2, np.inf])
+
+    expected = np.array([[0.050383, 0.029803, 0.527975, 1.],
+                         [0.050383, 0.029803, 0.527975, 1.],
+                         [0.050383, 0.029803, 0.527975, 1.],
+                         [0.,       0.,       0.,       0.],
+                         [0.949217, 0.517763, 0.295662, 1.],
+                         [0.940015, 0.975158, 0.131326, 1.],
+                         [0.940015, 0.975158, 0.131326, 1.]])
+    assert_array_equal(cmap(x), expected)
+
+    # Test masked representation (-inf, inf) are now masked
+    expected = np.array([[0.,       0.,       0.,       0.],
+                         [0.050383, 0.029803, 0.527975, 1.],
+                         [0.050383, 0.029803, 0.527975, 1.],
+                         [0.,       0.,       0.,       0.],
+                         [0.949217, 0.517763, 0.295662, 1.],
+                         [0.940015, 0.975158, 0.131326, 1.],
+                         [0.,       0.,       0.,       0.]])
+    assert_array_equal(cmap(np.ma.masked_invalid(x)), expected)
+
+    # Test scalar representations
+    assert_array_equal(cmap(-np.inf), cmap(0))
+    assert_array_equal(cmap(np.inf), cmap(1.0))
+    assert_array_equal(cmap(np.nan), [0., 0., 0., 0.])
+
+
+def test_colormap_return_types():
+    """
+    Make sure that tuples are returned for scalar input and
+    that the proper shapes are returned for ndarrays.
+    """
+    cmap = mpl.colormaps["plasma"]
+    # Test return types and shapes
+    # scalar input needs to return a tuple of length 4
+    assert isinstance(cmap(0.5), tuple)
+    assert len(cmap(0.5)) == 4
+
+    # input array returns an ndarray of shape x.shape + (4,)
+    x = np.ones(4)
+    assert cmap(x).shape == x.shape + (4,)
+
+    # multi-dimensional array input
+    x2d = np.zeros((2, 2))
+    assert cmap(x2d).shape == x2d.shape + (4,)
+
+
+def test_ListedColormap_bad_under_over():
+    cmap = mcolors.ListedColormap(["r", "g", "b"], bad="c", under="m", over="y")
+    assert mcolors.same_color(cmap.get_bad(), "c")
+    assert mcolors.same_color(cmap.get_under(), "m")
+    assert mcolors.same_color(cmap.get_over(), "y")
+
+
+def test_LinearSegmentedColormap_bad_under_over():
+    cdict = {
+        'red': [(0., 0., 0.), (0.5, 1., 1.), (1., 1., 1.)],
+        'green': [(0., 0., 0.), (0.25, 0., 0.), (0.75, 1., 1.), (1., 1., 1.)],
+        'blue': [(0., 0., 0.), (0.5, 0., 0.), (1., 1., 1.)],
+    }
+    cmap = mcolors.LinearSegmentedColormap("lsc", cdict, bad="c", under="m", over="y")
+    assert mcolors.same_color(cmap.get_bad(), "c")
+    assert mcolors.same_color(cmap.get_under(), "m")
+    assert mcolors.same_color(cmap.get_over(), "y")
+
+
+def test_LinearSegmentedColormap_from_list_bad_under_over():
+    cmap = mcolors.LinearSegmentedColormap.from_list(
+        "lsc", ["r", "g", "b"], bad="c", under="m", over="y")
+    assert mcolors.same_color(cmap.get_bad(), "c")
+    assert mcolors.same_color(cmap.get_under(), "m")
+    assert mcolors.same_color(cmap.get_over(), "y")
+
+
+def test_colormap_with_alpha():
+    cmap = ListedColormap(["red", "green", ("blue", 0.8)])
+    cmap2 = cmap.with_alpha(0.5)
+    # color is the same:
+    vals = [0, 0.5, 1]  # numeric positions that map to the listed colors
+    assert_array_equal(cmap(vals)[:, :3], cmap2(vals)[:, :3])
+    # alpha of cmap2 is changed:
+    assert_array_equal(cmap(vals)[:, 3], [1, 1, 0.8])
+    assert_array_equal(cmap2(vals)[:, 3], [0.5, 0.5, 0.5])
+
+
 def test_BoundaryNorm():
     """
-    Github issue #1258: interpolation was failing with numpy
+    GitHub issue #1258: interpolation was failing with numpy
     1.7 pre-release.
     """
-    # TODO: expand this into a more general test of BoundaryNorm.
+
     boundaries = [0, 1.1, 2.2]
-    vals = [-1, 0, 2, 2.2, 4]
-    expected = [-1, 0, 2, 3, 3]
+    vals = [-1, 0, 1, 2, 2.2, 4]
+
+    # Without interpolation
+    expected = [-1, 0, 0, 1, 2, 2]
+    ncolors = len(boundaries) - 1
+    bn = mcolors.BoundaryNorm(boundaries, ncolors)
+    assert_array_equal(bn(vals), expected)
+
     # ncolors != len(boundaries) - 1 triggers interpolation
+    expected = [-1, 0, 0, 2, 3, 3]
     ncolors = len(boundaries)
     bn = mcolors.BoundaryNorm(boundaries, ncolors)
     assert_array_equal(bn(vals), expected)
 
+    # with a single region and interpolation
+    expected = [-1, 1, 1, 1, 3, 3]
+    bn = mcolors.BoundaryNorm([0, 2.2], ncolors)
+    assert_array_equal(bn(vals), expected)
+
+    # more boundaries for a third color
+    boundaries = [0, 1, 2, 3]
+    vals = [-1, 0.1, 1.1, 2.2, 4]
+    ncolors = 5
+    expected = [-1, 0, 2, 4, 5]
+    bn = mcolors.BoundaryNorm(boundaries, ncolors)
+    assert_array_equal(bn(vals), expected)
+
+    # a scalar as input should not trigger an error and should return a scalar
+    boundaries = [0, 1, 2]
+    vals = [-1, 0.1, 1.1, 2.2]
+    bn = mcolors.BoundaryNorm(boundaries, 2)
+    expected = [-1, 0, 1, 2]
+    for v, ex in zip(vals, expected):
+        ret = bn(v)
+        assert isinstance(ret, int)
+        assert_array_equal(ret, ex)
+        assert_array_equal(bn([v]), ex)
+
+    # same with interp
+    bn = mcolors.BoundaryNorm(boundaries, 3)
+    expected = [-1, 0, 2, 3]
+    for v, ex in zip(vals, expected):
+        ret = bn(v)
+        assert isinstance(ret, int)
+        assert_array_equal(ret, ex)
+        assert_array_equal(bn([v]), ex)
+
+    # Clipping
+    bn = mcolors.BoundaryNorm(boundaries, 3, clip=True)
+    expected = [0, 0, 2, 2]
+    for v, ex in zip(vals, expected):
+        ret = bn(v)
+        assert isinstance(ret, int)
+        assert_array_equal(ret, ex)
+        assert_array_equal(bn([v]), ex)
+
+    # Masked arrays
+    boundaries = [0, 1.1, 2.2]
+    vals = np.ma.masked_invalid([-1., np.nan, 0, 1.4, 9])
+
+    # Without interpolation
+    ncolors = len(boundaries) - 1
+    bn = mcolors.BoundaryNorm(boundaries, ncolors)
+    expected = np.ma.masked_array([-1, -99, 0, 1, 2], mask=[0, 1, 0, 0, 0])
+    assert_array_equal(bn(vals), expected)
+
+    # With interpolation
+    bn = mcolors.BoundaryNorm(boundaries, len(boundaries))
+    expected = np.ma.masked_array([-1, -99, 0, 2, 3], mask=[0, 1, 0, 0, 0])
+    assert_array_equal(bn(vals), expected)
+
+    # Non-trivial masked arrays
+    vals = np.ma.masked_invalid([np.inf, np.nan])
+    assert np.all(bn(vals).mask)
+    vals = np.ma.masked_invalid([np.inf])
+    assert np.all(bn(vals).mask)
+
+    # Incompatible extend and clip
+    with pytest.raises(ValueError, match="not compatible"):
+        mcolors.BoundaryNorm(np.arange(4), 5, extend='both', clip=True)
+
+    # Too small ncolors argument
+    with pytest.raises(ValueError, match="ncolors must equal or exceed"):
+        mcolors.BoundaryNorm(np.arange(4), 2)
+
+    with pytest.raises(ValueError, match="ncolors must equal or exceed"):
+        mcolors.BoundaryNorm(np.arange(4), 3, extend='min')
+
+    with pytest.raises(ValueError, match="ncolors must equal or exceed"):
+        mcolors.BoundaryNorm(np.arange(4), 4, extend='both')
+
+    # Testing extend keyword, with interpolation (large cmap)
+    bounds = [1, 2, 3]
+    cmap = mpl.colormaps['viridis']
+    mynorm = mcolors.BoundaryNorm(bounds, cmap.N, extend='both')
+    refnorm = mcolors.BoundaryNorm([0] + bounds + [4], cmap.N)
+    x = np.random.randn(100) * 10 + 2
+    ref = refnorm(x)
+    ref[ref == 0] = -1
+    ref[ref == cmap.N - 1] = cmap.N
+    assert_array_equal(mynorm(x), ref)
+
+    # Without interpolation
+    cmref = mcolors.ListedColormap(['blue', 'red'])
+    cmref.set_over('black')
+    cmref.set_under('white')
+    cmshould = mcolors.ListedColormap(['white', 'blue', 'red', 'black'])
+
+    assert mcolors.same_color(cmref.get_over(), 'black')
+    assert mcolors.same_color(cmref.get_under(), 'white')
+
+    refnorm = mcolors.BoundaryNorm(bounds, cmref.N)
+    mynorm = mcolors.BoundaryNorm(bounds, cmshould.N, extend='both')
+    assert mynorm.vmin == refnorm.vmin
+    assert mynorm.vmax == refnorm.vmax
+
+    assert mynorm(bounds[0] - 0.1) == -1  # under
+    assert mynorm(bounds[0] + 0.1) == 1   # first bin -> second color
+    assert mynorm(bounds[-1] - 0.1) == cmshould.N - 2  # next-to-last color
+    assert mynorm(bounds[-1] + 0.1) == cmshould.N  # over
+
+    x = [-1, 1.2, 2.3, 9.6]
+    assert_array_equal(cmshould(mynorm(x)), cmshould([0, 1, 2, 3]))
+    x = np.random.randn(100) * 10 + 2
+    assert_array_equal(cmshould(mynorm(x)), cmref(refnorm(x)))
+
+    # Just min
+    cmref = mcolors.ListedColormap(['blue', 'red'])
+    cmref.set_under('white')
+    cmshould = mcolors.ListedColormap(['white', 'blue', 'red'])
+
+    assert mcolors.same_color(cmref.get_under(), 'white')
+
+    assert cmref.N == 2
+    assert cmshould.N == 3
+    refnorm = mcolors.BoundaryNorm(bounds, cmref.N)
+    mynorm = mcolors.BoundaryNorm(bounds, cmshould.N, extend='min')
+    assert mynorm.vmin == refnorm.vmin
+    assert mynorm.vmax == refnorm.vmax
+    x = [-1, 1.2, 2.3]
+    assert_array_equal(cmshould(mynorm(x)), cmshould([0, 1, 2]))
+    x = np.random.randn(100) * 10 + 2
+    assert_array_equal(cmshould(mynorm(x)), cmref(refnorm(x)))
+
+    # Just max
+    cmref = mcolors.ListedColormap(['blue', 'red'])
+    cmref.set_over('black')
+    cmshould = mcolors.ListedColormap(['blue', 'red', 'black'])
+
+    assert mcolors.same_color(cmref.get_over(), 'black')
+
+    assert cmref.N == 2
+    assert cmshould.N == 3
+    refnorm = mcolors.BoundaryNorm(bounds, cmref.N)
+    mynorm = mcolors.BoundaryNorm(bounds, cmshould.N, extend='max')
+    assert mynorm.vmin == refnorm.vmin
+    assert mynorm.vmax == refnorm.vmax
+    x = [1.2, 2.3, 4]
+    assert_array_equal(cmshould(mynorm(x)), cmshould([0, 1, 2]))
+    x = np.random.randn(100) * 10 + 2
+    assert_array_equal(cmshould(mynorm(x)), cmref(refnorm(x)))
+
+
+def test_CenteredNorm():
+    np.random.seed(0)
+
+    # Assert equivalence to symmetrical Normalize.
+    x = np.random.normal(size=100)
+    x_maxabs = np.max(np.abs(x))
+    norm_ref = mcolors.Normalize(vmin=-x_maxabs, vmax=x_maxabs)
+    norm = mcolors.CenteredNorm()
+    assert_array_almost_equal(norm_ref(x), norm(x))
+
+    # Check that vcenter is in the center of vmin and vmax
+    # when vcenter is set.
+    vcenter = int(np.random.normal(scale=50))
+    norm = mcolors.CenteredNorm(vcenter=vcenter)
+    norm.autoscale_None([1, 2])
+    assert norm.vmax + norm.vmin == 2 * vcenter
+
+    # Check that halfrange can be set without setting vcenter and that it is
+    # not reset through autoscale_None.
+    norm = mcolors.CenteredNorm(halfrange=1.0)
+    norm.autoscale_None([1, 3000])
+    assert norm.halfrange == 1.0
+
+    # Check that halfrange input works correctly.
+    x = np.random.normal(size=10)
+    norm = mcolors.CenteredNorm(vcenter=0.5, halfrange=0.5)
+    assert_array_almost_equal(x, norm(x))
+    norm = mcolors.CenteredNorm(vcenter=1, halfrange=1)
+    assert_array_almost_equal(x, 2 * norm(x))
+
+    # Check that halfrange input works correctly and use setters.
+    norm = mcolors.CenteredNorm()
+    norm.vcenter = 2
+    norm.halfrange = 2
+    assert_array_almost_equal(x, 4 * norm(x))
+
+    # Check that prior to adding data, setting halfrange first has same effect.
+    norm = mcolors.CenteredNorm()
+    norm.halfrange = 2
+    norm.vcenter = 2
+    assert_array_almost_equal(x, 4 * norm(x))
+
+    # Check that manual change of vcenter adjusts halfrange accordingly.
+    norm = mcolors.CenteredNorm()
+    assert norm.vcenter == 0
+    # add data
+    norm(np.linspace(-1.0, 0.0, 10))
+    assert norm.vmax == 1.0
+    assert norm.halfrange == 1.0
+    # set vcenter to 1, which should move the center but leave the
+    # halfrange unchanged
+    norm.vcenter = 1
+    assert norm.vmin == 0
+    assert norm.vmax == 2
+    assert norm.halfrange == 1
+
+    # Check setting vmin directly updates the halfrange and vmax, but
+    # leaves vcenter alone
+    norm.vmin = -1
+    assert norm.halfrange == 2
+    assert norm.vmax == 3
+    assert norm.vcenter == 1
+
+    # also check vmax updates
+    norm.vmax = 2
+    assert norm.halfrange == 1
+    assert norm.vmin == 0
+    assert norm.vcenter == 1
+
+
+@pytest.mark.parametrize("vmin,vmax", [[-1, 2], [3, 1]])
+def test_lognorm_invalid(vmin, vmax):
+    # Check that invalid limits in LogNorm error
+    norm = mcolors.LogNorm(vmin=vmin, vmax=vmax)
+    with pytest.raises(ValueError):
+        norm(1)
+    with pytest.raises(ValueError):
+        norm.inverse(1)
+
 
 def test_LogNorm():
     """
@@ -59,33 +519,221 @@ def test_LogNorm():
     assert_array_equal(ln([1, 6]), [0, 1.0])
 
 
+def test_LogNorm_inverse():
+    """
+    Test that lists work, and that the inverse works
+    """
+    norm = mcolors.LogNorm(vmin=0.1, vmax=10)
+    assert_array_almost_equal(norm([0.5, 0.4]), [0.349485, 0.30103])
+    assert_array_almost_equal([0.5, 0.4], norm.inverse([0.349485, 0.30103]))
+    assert_array_almost_equal(norm(0.4), [0.30103])
+    assert_array_almost_equal([0.4], norm.inverse([0.30103]))
+
+
 def test_PowerNorm():
-    a = np.array([0, 0.5, 1, 1.5], dtype=np.float)
+    # Check an exponent of 1 gives same results as a normal linear
+    # normalization. Also implicitly checks that vmin/vmax are
+    # automatically initialized from first array input.
+    a = np.array([0, 0.5, 1, 1.5], dtype=float)
     pnorm = mcolors.PowerNorm(1)
     norm = mcolors.Normalize()
     assert_array_almost_equal(norm(a), pnorm(a))
 
-    a = np.array([-0.5, 0, 2, 4, 8], dtype=np.float)
-    expected = [0, 0, 1./16, 1./4, 1]
+    a = np.array([-0.5, 0, 2, 4, 8], dtype=float)
+    expected = [-1/16, 0, 1/16, 1/4, 1]
     pnorm = mcolors.PowerNorm(2, vmin=0, vmax=8)
     assert_array_almost_equal(pnorm(a), expected)
-    assert_array_almost_equal(a[1:], pnorm.inverse(pnorm(a))[1:])
+    assert pnorm(a[0]) == expected[0]
+    assert pnorm(a[2]) == expected[2]
+    # Check inverse
+    a_roundtrip = pnorm.inverse(pnorm(a))
+    assert_array_almost_equal(a, a_roundtrip)
+    # PowerNorm inverse adds a mask, so check that is correct too
+    assert_array_equal(a_roundtrip.mask, np.zeros(a.shape, dtype=bool))
+
+    # Clip = True
+    a = np.array([-0.5, 0, 1, 8, 16], dtype=float)
+    expected = [0, 0, 0, 1, 1]
+    # Clip = True when creating the norm
+    pnorm = mcolors.PowerNorm(2, vmin=2, vmax=8, clip=True)
+    assert_array_almost_equal(pnorm(a), expected)
+    assert pnorm(a[0]) == expected[0]
+    assert pnorm(a[-1]) == expected[-1]
+    # Clip = True at call time
+    pnorm = mcolors.PowerNorm(2, vmin=2, vmax=8, clip=False)
+    assert_array_almost_equal(pnorm(a, clip=True), expected)
+    assert pnorm(a[0], clip=True) == expected[0]
+    assert pnorm(a[-1], clip=True) == expected[-1]
+
+    # Check clip=True preserves masked values
+    a = np.ma.array([5, 2], mask=[True, False])
+    out = pnorm(a, clip=True)
+    assert_array_equal(out.mask, [True, False])
+
+
+def test_PowerNorm_translation_invariance():
+    a = np.array([0, 1/2, 1], dtype=float)
+    expected = [0, 1/8, 1]
+    pnorm = mcolors.PowerNorm(vmin=0, vmax=1, gamma=3)
+    assert_array_almost_equal(pnorm(a), expected)
+    pnorm = mcolors.PowerNorm(vmin=-2, vmax=-1, gamma=3)
+    assert_array_almost_equal(pnorm(a - 2), expected)
+
+
+def test_powernorm_cbar_limits():
+    fig, ax = plt.subplots()
+    vmin, vmax = 300, 1000
+    data = np.arange(10*10).reshape(10, 10) + vmin
+    im = ax.imshow(data, norm=mcolors.PowerNorm(gamma=0.2, vmin=vmin, vmax=vmax))
+    cbar = fig.colorbar(im)
+    assert cbar.ax.get_ylim() == (vmin, vmax)
 
 
 def test_Normalize():
     norm = mcolors.Normalize()
-    vals = np.arange(-10, 10, 1, dtype=np.float)
+    vals = np.arange(-10, 10, 1, dtype=float)
     _inverse_tester(norm, vals)
     _scalar_tester(norm, vals)
     _mask_tester(norm, vals)
 
+    # Handle integer input correctly (don't overflow when computing max-min,
+    # i.e. 127-(-128) here).
+    vals = np.array([-128, 127], dtype=np.int8)
+    norm = mcolors.Normalize(vals.min(), vals.max())
+    assert_array_equal(norm(vals), [0, 1])
+
+    # Don't lose precision on longdoubles (float128 on Linux):
+    # for array inputs...
+    vals = np.array([1.2345678901, 9.8765432109], dtype=np.longdouble)
+    norm = mcolors.Normalize(vals[0], vals[1])
+    assert norm(vals).dtype == np.longdouble
+    assert_array_equal(norm(vals), [0, 1])
+    # and for scalar ones.
+    eps = np.finfo(np.longdouble).resolution
+    norm = plt.Normalize(1, 1 + 100 * eps)
+    # This returns exactly 0.5 when longdouble is extended precision (80-bit),
+    # but only a value close to it when it is quadruple precision (128-bit).
+    assert_array_almost_equal(norm(1 + 50 * eps), 0.5, decimal=3)
+
+
+def test_FuncNorm():
+    def forward(x):
+        return (x**2)
+    def inverse(x):
+        return np.sqrt(x)
+
+    norm = mcolors.FuncNorm((forward, inverse), vmin=0, vmax=10)
+    expected = np.array([0, 0.25, 1])
+    input = np.array([0, 5, 10])
+    assert_array_almost_equal(norm(input), expected)
+    assert_array_almost_equal(norm.inverse(expected), input)
+
+    def forward(x):
+        return np.log10(x)
+    def inverse(x):
+        return 10**x
+    norm = mcolors.FuncNorm((forward, inverse), vmin=0.1, vmax=10)
+    lognorm = mcolors.LogNorm(vmin=0.1, vmax=10)
+    assert_array_almost_equal(norm([0.2, 5, 10]), lognorm([0.2, 5, 10]))
+    assert_array_almost_equal(norm.inverse([0.2, 5, 10]),
+                              lognorm.inverse([0.2, 5, 10]))
+
+
+def test_TwoSlopeNorm_autoscale():
+    norm = mcolors.TwoSlopeNorm(vcenter=20)
+    norm.autoscale([10, 20, 30, 40])
+    assert norm.vmin == 10.
+    assert norm.vmax == 40.
+
+
+def test_TwoSlopeNorm_autoscale_None_vmin():
+    norm = mcolors.TwoSlopeNorm(2, vmin=0, vmax=None)
+    norm.autoscale_None([1, 2, 3, 4, 5])
+    assert norm(5) == 1
+    assert norm.vmax == 5
+
+
+def test_TwoSlopeNorm_autoscale_None_vmax():
+    norm = mcolors.TwoSlopeNorm(2, vmin=None, vmax=10)
+    norm.autoscale_None([1, 2, 3, 4, 5])
+    assert norm(1) == 0
+    assert norm.vmin == 1
+
+
+def test_TwoSlopeNorm_scale():
+    norm = mcolors.TwoSlopeNorm(2)
+    assert norm.scaled() is False
+    norm([1, 2, 3, 4])
+    assert norm.scaled() is True
+
+
+def test_TwoSlopeNorm_scaleout_center():
+    # test the vmin never goes above vcenter
+    norm = mcolors.TwoSlopeNorm(vcenter=0)
+    norm([0, 1, 2, 3, 5])
+    assert norm.vmin == -5
+    assert norm.vmax == 5
+
+
+def test_TwoSlopeNorm_scaleout_center_max():
+    # test the vmax never goes below vcenter
+    norm = mcolors.TwoSlopeNorm(vcenter=0)
+    norm([0, -1, -2, -3, -5])
+    assert norm.vmax == 5
+    assert norm.vmin == -5
+
+
+def test_TwoSlopeNorm_Even():
+    norm = mcolors.TwoSlopeNorm(vmin=-1, vcenter=0, vmax=4)
+    vals = np.array([-1.0, -0.5, 0.0, 1.0, 2.0, 3.0, 4.0])
+    expected = np.array([0.0, 0.25, 0.5, 0.625, 0.75, 0.875, 1.0])
+    assert_array_equal(norm(vals), expected)
+
+
+def test_TwoSlopeNorm_Odd():
+    norm = mcolors.TwoSlopeNorm(vmin=-2, vcenter=0, vmax=5)
+    vals = np.array([-2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0])
+    expected = np.array([0.0, 0.25, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])
+    assert_array_equal(norm(vals), expected)
+
+
+def test_TwoSlopeNorm_VminEqualsVcenter():
+    with pytest.raises(ValueError):
+        mcolors.TwoSlopeNorm(vmin=-2, vcenter=-2, vmax=2)
+
+
+def test_TwoSlopeNorm_VmaxEqualsVcenter():
+    with pytest.raises(ValueError):
+        mcolors.TwoSlopeNorm(vmin=-2, vcenter=2, vmax=2)
+
+
+def test_TwoSlopeNorm_VminGTVcenter():
+    with pytest.raises(ValueError):
+        mcolors.TwoSlopeNorm(vmin=10, vcenter=0, vmax=20)
+
+
+def test_TwoSlopeNorm_TwoSlopeNorm_VminGTVmax():
+    with pytest.raises(ValueError):
+        mcolors.TwoSlopeNorm(vmin=10, vcenter=0, vmax=5)
+
+
+def test_TwoSlopeNorm_VcenterGTVmax():
+    with pytest.raises(ValueError):
+        mcolors.TwoSlopeNorm(vmin=10, vcenter=25, vmax=20)
+
+
+def test_TwoSlopeNorm_premature_scaling():
+    norm = mcolors.TwoSlopeNorm(vcenter=2)
+    with pytest.raises(ValueError):
+        norm.inverse(np.array([0.1, 0.5, 0.9]))
+
 
 def test_SymLogNorm():
     """
     Test SymLogNorm behavior
     """
-    norm = mcolors.SymLogNorm(3, vmax=5, linscale=1.2)
-    vals = np.array([-30, -1, 2, 6], dtype=np.float)
+    norm = mcolors.SymLogNorm(3, vmax=5, linscale=1.2, base=np.e)
+    vals = np.array([-30, -1, 2, 6], dtype=float)
     normed_vals = norm(vals)
     expected = [0., 0.53980074, 0.826991, 1.02758204]
     assert_array_almost_equal(normed_vals, expected)
@@ -94,10 +742,68 @@ def test_SymLogNorm():
     _mask_tester(norm, vals)
 
     # Ensure that specifying vmin returns the same result as above
-    norm = mcolors.SymLogNorm(3, vmin=-30, vmax=5, linscale=1.2)
+    norm = mcolors.SymLogNorm(3, vmin=-30, vmax=5, linscale=1.2, base=np.e)
     normed_vals = norm(vals)
     assert_array_almost_equal(normed_vals, expected)
 
+    # test something more easily checked.
+    norm = mcolors.SymLogNorm(1, vmin=-np.e**3, vmax=np.e**3, base=np.e)
+    nn = norm([-np.e**3, -np.e**2, -np.e**1, -1,
+              0, 1, np.e**1, np.e**2, np.e**3])
+    xx = np.array([0., 0.109123, 0.218246, 0.32737, 0.5, 0.67263,
+                   0.781754, 0.890877, 1.])
+    assert_array_almost_equal(nn, xx)
+    norm = mcolors.SymLogNorm(1, vmin=-10**3, vmax=10**3, base=10)
+    nn = norm([-10**3, -10**2, -10**1, -1,
+              0, 1, 10**1, 10**2, 10**3])
+    xx = np.array([0., 0.121622, 0.243243, 0.364865, 0.5, 0.635135,
+                   0.756757, 0.878378, 1.])
+    assert_array_almost_equal(nn, xx)
+
+
+def test_SymLogNorm_colorbar():
+    """
+    Test un-called SymLogNorm in a colorbar.
+    """
+    norm = mcolors.SymLogNorm(0.1, vmin=-1, vmax=1, linscale=1, base=np.e)
+    fig = plt.figure()
+    mcolorbar.ColorbarBase(fig.add_subplot(), norm=norm)
+    plt.close(fig)
+
+
+def test_SymLogNorm_single_zero():
+    """
+    Test SymLogNorm to ensure it is not adding sub-ticks to zero label
+    """
+    fig = plt.figure()
+    norm = mcolors.SymLogNorm(1e-5, vmin=-1, vmax=1, base=np.e)
+    cbar = mcolorbar.ColorbarBase(fig.add_subplot(), norm=norm)
+    ticks = cbar.get_ticks()
+    assert np.count_nonzero(ticks == 0) <= 1
+    plt.close(fig)
+
+
+class TestAsinhNorm:
+    """
+    Tests for `~.colors.AsinhNorm`
+    """
+
+    def test_init(self):
+        norm0 = mcolors.AsinhNorm()
+        assert norm0.linear_width == 1
+
+        norm5 = mcolors.AsinhNorm(linear_width=5)
+        assert norm5.linear_width == 5
+
+    def test_norm(self):
+        norm = mcolors.AsinhNorm(2, vmin=-4, vmax=4)
+        vals = np.arange(-3.5, 3.5, 10)
+        normed_vals = norm(vals)
+        asinh2 = np.arcsinh(2)
+
+        expected = (2 * np.arcsinh(vals / 2) + 2 * asinh2) / (4 * asinh2)
+        assert_array_almost_equal(normed_vals, expected)
+
 
 def _inverse_tester(norm_instance, vals):
     """
@@ -124,9 +830,11 @@ def _mask_tester(norm_instance, vals):
     assert_array_equal(masked_array.mask, norm_instance(masked_array).mask)
 
 
-@image_comparison(baseline_images=['levels_and_colors'],
-                  extensions=['png'])
+@image_comparison(['levels_and_colors.png'])
 def test_cmap_and_norm_from_levels_and_colors():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
     data = np.linspace(-2, 4, 49).reshape(7, 7)
     levels = [-1, 2, 2.5, 3]
     colors = ['red', 'green', 'blue', 'yellow', 'black']
@@ -138,14 +846,44 @@ def test_cmap_and_norm_from_levels_and_colors():
     plt.colorbar(m)
 
     # Hide the axes labels (but not the colorbar ones, as they are useful)
-    for lab in ax.get_xticklabels() + ax.get_yticklabels():
-        lab.set_visible(False)
+    ax.tick_params(labelleft=False, labelbottom=False)
+
+
+@image_comparison(baseline_images=['boundarynorm_and_colorbar'],
+                  extensions=['png'], tol=1.0)
+def test_boundarynorm_and_colorbarbase():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    # Make a figure and axes with dimensions as desired.
+    fig = plt.figure()
+    ax1 = fig.add_axes([0.05, 0.80, 0.9, 0.15])
+    ax2 = fig.add_axes([0.05, 0.475, 0.9, 0.15])
+    ax3 = fig.add_axes([0.05, 0.15, 0.9, 0.15])
+
+    # Set the colormap and bounds
+    bounds = [-1, 2, 5, 7, 12, 15]
+    cmap = mpl.colormaps['viridis']
+
+    # Default behavior
+    norm = mcolors.BoundaryNorm(bounds, cmap.N)
+    cb1 = mcolorbar.ColorbarBase(ax1, cmap=cmap, norm=norm, extend='both',
+                                 orientation='horizontal', spacing='uniform')
+    # New behavior
+    norm = mcolors.BoundaryNorm(bounds, cmap.N, extend='both')
+    cb2 = mcolorbar.ColorbarBase(ax2, cmap=cmap, norm=norm,
+                                 orientation='horizontal')
+
+    # User can still force to any extend='' if really needed
+    norm = mcolors.BoundaryNorm(bounds, cmap.N, extend='both')
+    cb3 = mcolorbar.ColorbarBase(ax3, cmap=cmap, norm=norm,
+                                 extend='neither', orientation='horizontal')
 
 
 def test_cmap_and_norm_from_levels_and_colors2():
     levels = [-1, 2, 2.5, 3]
     colors = ['red', (0, 1, 0), 'blue', (0.5, 0.5, 0.5), (0.0, 0.0, 0.0, 1.0)]
-    clr = mcolors.colorConverter.to_rgba_array(colors)
+    clr = mcolors.to_rgba_array(colors)
     bad = (0.1, 0.1, 0.1, 0.1)
     no_color = (0.0, 0.0, 0.0, 0.0)
     masked_value = 'masked_value'
@@ -195,23 +933,23 @@ def test_cmap_and_norm_from_levels_and_colors2():
             else:
                 d_val = [d_val]
             assert_array_equal(expected_color, cmap(norm(d_val))[0],
-                               'Wih extend={0!r} and data '
-                               'value={1!r}'.format(extend, d_val))
+                               f'With extend={extend!r} and data '
+                               f'value={d_val!r}')
 
-    assert_raises(ValueError, mcolors.from_levels_and_colors, levels, colors)
+    with pytest.raises(ValueError):
+        mcolors.from_levels_and_colors(levels, colors)
 
 
 def test_rgb_hsv_round_trip():
     for a_shape in [(500, 500, 3), (500, 3), (1, 3), (3,)]:
         np.random.seed(0)
         tt = np.random.random(a_shape)
-        assert_array_almost_equal(tt,
-            mcolors.hsv_to_rgb(mcolors.rgb_to_hsv(tt)))
-        assert_array_almost_equal(tt,
-            mcolors.rgb_to_hsv(mcolors.hsv_to_rgb(tt)))
+        assert_array_almost_equal(
+            tt, mcolors.hsv_to_rgb(mcolors.rgb_to_hsv(tt)))
+        assert_array_almost_equal(
+            tt, mcolors.rgb_to_hsv(mcolors.hsv_to_rgb(tt)))
 
 
-@cleanup
 def test_autoscale_masked():
     # Test for #2336. Previously fully masked data would trigger a ValueError.
     data = np.ma.masked_all((12, 20))
@@ -219,38 +957,22 @@ def test_autoscale_masked():
     plt.draw()
 
 
-def test_colors_no_float():
-    # Gray must be a string to distinguish 3-4 grays from RGB or RGBA.
-
-    def gray_from_float_rgb():
-        return mcolors.colorConverter.to_rgb(0.4)
-
-    def gray_from_float_rgba():
-        return mcolors.colorConverter.to_rgba(0.4)
-
-    assert_raises(ValueError, gray_from_float_rgb)
-    assert_raises(ValueError, gray_from_float_rgba)
-
-
-@image_comparison(baseline_images=['light_source_shading_topo'],
-                  extensions=['png'])
+@image_comparison(['light_source_shading_topo.png'])
 def test_light_source_topo_surface():
     """Shades a DEM using different v.e.'s and blend modes."""
-    fname = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
-    dem = np.load(fname)
+    dem = cbook.get_sample_data('jacksboro_fault_dem.npz')
     elev = dem['elevation']
-    # Get the true cellsize in meters for accurate vertical exaggeration
-    #   Convert from decimal degrees to meters
     dx, dy = dem['dx'], dem['dy']
+    # Get the true cellsize in meters for accurate vertical exaggeration
+    # Convert from decimal degrees to meters
     dx = 111320.0 * dx * np.cos(dem['ymin'])
     dy = 111320.0 * dy
-    dem.close()
 
     ls = mcolors.LightSource(315, 45)
     cmap = cm.gist_earth
 
-    fig, axes = plt.subplots(nrows=3, ncols=3)
-    for row, mode in zip(axes, ['hsv', 'overlay', 'soft']):
+    fig, axs = plt.subplots(nrows=3, ncols=3)
+    for row, mode in zip(axs, ['hsv', 'overlay', 'soft']):
         for ax, ve in zip(row, [0.1, 1, 10]):
             rgb = ls.shade(elev, cmap, vert_exag=ve, dx=dx, dy=dy,
                            blend_mode=mode)
@@ -259,120 +981,136 @@ def test_light_source_topo_surface():
 
 
 def test_light_source_shading_default():
-    """Array comparison test for the default "hsv" blend mode. Ensure the
-    default result doesn't change without warning."""
+    """
+    Array comparison test for the default "hsv" blend mode. Ensure the
+    default result doesn't change without warning.
+    """
     y, x = np.mgrid[-1.2:1.2:8j, -1.2:1.2:8j]
     z = 10 * np.cos(x**2 + y**2)
 
-    cmap = plt.cm.copper
+    cmap = plt.colormaps["copper"]
     ls = mcolors.LightSource(315, 45)
     rgb = ls.shade(z, cmap)
 
-    # Result stored transposed and rounded for for more compact display...
-    expect = np.array([[[0.87, 0.85, 0.90, 0.90, 0.82, 0.62, 0.34, 0.00],
-                        [0.85, 0.94, 0.99, 1.00, 1.00, 0.96, 0.62, 0.17],
-                        [0.90, 0.99, 1.00, 1.00, 1.00, 1.00, 0.71, 0.33],
-                        [0.90, 1.00, 1.00, 1.00, 1.00, 0.98, 0.51, 0.29],
-                        [0.82, 1.00, 1.00, 1.00, 1.00, 0.64, 0.25, 0.13],
-                        [0.62, 0.96, 1.00, 0.98, 0.64, 0.22, 0.06, 0.03],
-                        [0.34, 0.62, 0.71, 0.51, 0.25, 0.06, 0.00, 0.01],
-                        [0.00, 0.17, 0.33, 0.29, 0.13, 0.03, 0.01, 0.00]],
-
-                       [[0.87, 0.79, 0.83, 0.80, 0.66, 0.44, 0.23, 0.00],
-                        [0.79, 0.88, 0.93, 0.92, 0.83, 0.66, 0.38, 0.10],
-                        [0.83, 0.93, 0.99, 1.00, 0.92, 0.75, 0.40, 0.18],
-                        [0.80, 0.92, 1.00, 0.99, 0.93, 0.75, 0.28, 0.14],
-                        [0.66, 0.83, 0.92, 0.93, 0.87, 0.44, 0.12, 0.06],
-                        [0.44, 0.66, 0.75, 0.75, 0.44, 0.12, 0.03, 0.01],
-                        [0.23, 0.38, 0.40, 0.28, 0.12, 0.03, 0.00, 0.00],
-                        [0.00, 0.10, 0.18, 0.14, 0.06, 0.01, 0.00, 0.00]],
-
-                       [[0.87, 0.75, 0.78, 0.73, 0.55, 0.33, 0.16, 0.00],
-                        [0.75, 0.85, 0.90, 0.86, 0.71, 0.48, 0.23, 0.05],
-                        [0.78, 0.90, 0.98, 1.00, 0.82, 0.51, 0.21, 0.08],
-                        [0.73, 0.86, 1.00, 0.97, 0.84, 0.47, 0.11, 0.05],
-                        [0.55, 0.71, 0.82, 0.84, 0.71, 0.20, 0.03, 0.01],
-                        [0.33, 0.48, 0.51, 0.47, 0.20, 0.02, 0.00, 0.00],
-                        [0.16, 0.23, 0.21, 0.11, 0.03, 0.00, 0.00, 0.00],
-                        [0.00, 0.05, 0.08, 0.05, 0.01, 0.00, 0.00, 0.00]],
-
-                       [[1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00]]]).T
-    if (V(np.__version__) == V('1.9.0')):
-        # Numpy 1.9.0 uses a 2. order algorithm on the edges by default
-        # This was changed back again in 1.9.1
-        expect = expect[1:-1, 1:-1, :]
-        rgb = rgb[1:-1, 1:-1, :]
+    # Result stored transposed and rounded for more compact display...
+    expect = np.array(
+        [[[0.00, 0.45, 0.90, 0.90, 0.82, 0.62, 0.28, 0.00],
+          [0.45, 0.94, 0.99, 1.00, 1.00, 0.96, 0.65, 0.17],
+          [0.90, 0.99, 1.00, 1.00, 1.00, 1.00, 0.94, 0.35],
+          [0.90, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 0.49],
+          [0.82, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 0.41],
+          [0.62, 0.96, 1.00, 1.00, 1.00, 1.00, 0.90, 0.07],
+          [0.28, 0.65, 0.94, 1.00, 1.00, 0.90, 0.35, 0.01],
+          [0.00, 0.17, 0.35, 0.49, 0.41, 0.07, 0.01, 0.00]],
+
+         [[0.00, 0.28, 0.59, 0.72, 0.62, 0.40, 0.18, 0.00],
+          [0.28, 0.78, 0.93, 0.92, 0.83, 0.66, 0.39, 0.11],
+          [0.59, 0.93, 0.99, 1.00, 0.92, 0.75, 0.50, 0.21],
+          [0.72, 0.92, 1.00, 0.99, 0.93, 0.76, 0.51, 0.18],
+          [0.62, 0.83, 0.92, 0.93, 0.87, 0.68, 0.42, 0.08],
+          [0.40, 0.66, 0.75, 0.76, 0.68, 0.52, 0.23, 0.02],
+          [0.18, 0.39, 0.50, 0.51, 0.42, 0.23, 0.00, 0.00],
+          [0.00, 0.11, 0.21, 0.18, 0.08, 0.02, 0.00, 0.00]],
+
+         [[0.00, 0.18, 0.38, 0.46, 0.39, 0.26, 0.11, 0.00],
+          [0.18, 0.50, 0.70, 0.75, 0.64, 0.44, 0.25, 0.07],
+          [0.38, 0.70, 0.91, 0.98, 0.81, 0.51, 0.29, 0.13],
+          [0.46, 0.75, 0.98, 0.96, 0.84, 0.48, 0.22, 0.12],
+          [0.39, 0.64, 0.81, 0.84, 0.71, 0.31, 0.11, 0.05],
+          [0.26, 0.44, 0.51, 0.48, 0.31, 0.10, 0.03, 0.01],
+          [0.11, 0.25, 0.29, 0.22, 0.11, 0.03, 0.00, 0.00],
+          [0.00, 0.07, 0.13, 0.12, 0.05, 0.01, 0.00, 0.00]],
+
+         [[1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00]]
+         ]).T
 
     assert_array_almost_equal(rgb, expect, decimal=2)
 
 
-@knownfailureif((V(np.__version__) <= V('1.9.0')
-                and V(np.__version__) >= V('1.7.0')))
+def test_light_source_shading_empty_mask():
+    y, x = np.mgrid[-1.2:1.2:8j, -1.2:1.2:8j]
+    z0 = 10 * np.cos(x**2 + y**2)
+    z1 = np.ma.array(z0)
+
+    cmap = plt.colormaps["copper"]
+    ls = mcolors.LightSource(315, 45)
+    rgb0 = ls.shade(z0, cmap)
+    rgb1 = ls.shade(z1, cmap)
+
+    assert_array_almost_equal(rgb0, rgb1)
+
+
 # Numpy 1.9.1 fixed a bug in masked arrays which resulted in
 # additional elements being masked when calculating the gradient thus
 # the output is different with earlier numpy versions.
 def test_light_source_masked_shading():
-    """Array comparison test for a surface with a masked portion. Ensures that
-    we don't wind up with "fringes" of odd colors around masked regions."""
+    """
+    Array comparison test for a surface with a masked portion. Ensures that
+    we don't wind up with "fringes" of odd colors around masked regions.
+    """
     y, x = np.mgrid[-1.2:1.2:8j, -1.2:1.2:8j]
     z = 10 * np.cos(x**2 + y**2)
 
     z = np.ma.masked_greater(z, 9.9)
 
-    cmap = plt.cm.copper
+    cmap = plt.colormaps["copper"]
     ls = mcolors.LightSource(315, 45)
     rgb = ls.shade(z, cmap)
 
-    # Result stored transposed and rounded for for more compact display...
-    expect = np.array([[[0.90, 0.88, 0.91, 0.91, 0.84, 0.64, 0.36, 0.00],
-                        [0.88, 0.96, 1.00, 1.00, 1.00, 0.97, 0.64, 0.18],
-                        [0.91, 1.00, 1.00, 1.00, 1.00, 1.00, 0.74, 0.34],
-                        [0.91, 1.00, 1.00, 0.00, 0.00, 1.00, 0.52, 0.30],
-                        [0.84, 1.00, 1.00, 0.00, 0.00, 1.00, 0.25, 0.13],
-                        [0.64, 0.97, 1.00, 1.00, 1.00, 0.23, 0.07, 0.03],
-                        [0.36, 0.64, 0.74, 0.52, 0.25, 0.07, 0.00, 0.01],
-                        [0.00, 0.18, 0.34, 0.30, 0.13, 0.03, 0.01, 0.00]],
-
-                       [[0.90, 0.82, 0.85, 0.82, 0.68, 0.46, 0.24, 0.00],
-                        [0.82, 0.91, 0.95, 0.93, 0.85, 0.68, 0.39, 0.10],
-                        [0.85, 0.95, 1.00, 0.78, 0.78, 0.77, 0.42, 0.18],
-                        [0.82, 0.93, 0.78, 0.00, 0.00, 0.78, 0.30, 0.15],
-                        [0.68, 0.85, 0.78, 0.00, 0.00, 0.78, 0.13, 0.06],
-                        [0.46, 0.68, 0.77, 0.78, 0.78, 0.13, 0.03, 0.01],
-                        [0.24, 0.39, 0.42, 0.30, 0.13, 0.03, 0.00, 0.00],
-                        [0.00, 0.10, 0.18, 0.15, 0.06, 0.01, 0.00, 0.00]],
-
-                       [[0.90, 0.79, 0.81, 0.76, 0.58, 0.35, 0.17, 0.00],
-                        [0.79, 0.88, 0.92, 0.88, 0.73, 0.50, 0.24, 0.05],
-                        [0.81, 0.92, 1.00, 0.50, 0.50, 0.53, 0.22, 0.09],
-                        [0.76, 0.88, 0.50, 0.00, 0.00, 0.50, 0.12, 0.05],
-                        [0.58, 0.73, 0.50, 0.00, 0.00, 0.50, 0.03, 0.01],
-                        [0.35, 0.50, 0.53, 0.50, 0.50, 0.02, 0.00, 0.00],
-                        [0.17, 0.24, 0.22, 0.12, 0.03, 0.00, 0.00, 0.00],
-                        [0.00, 0.05, 0.09, 0.05, 0.01, 0.00, 0.00, 0.00]],
-
-                       [[1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
-                        [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00]]]).T
+    # Result stored transposed and rounded for more compact display...
+    expect = np.array(
+        [[[0.00, 0.46, 0.91, 0.91, 0.84, 0.64, 0.29, 0.00],
+          [0.46, 0.96, 1.00, 1.00, 1.00, 0.97, 0.67, 0.18],
+          [0.91, 1.00, 1.00, 1.00, 1.00, 1.00, 0.96, 0.36],
+          [0.91, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 0.51],
+          [0.84, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 0.44],
+          [0.64, 0.97, 1.00, 1.00, 1.00, 1.00, 0.94, 0.09],
+          [0.29, 0.67, 0.96, 1.00, 1.00, 0.94, 0.38, 0.01],
+          [0.00, 0.18, 0.36, 0.51, 0.44, 0.09, 0.01, 0.00]],
+
+         [[0.00, 0.29, 0.61, 0.75, 0.64, 0.41, 0.18, 0.00],
+          [0.29, 0.81, 0.95, 0.93, 0.85, 0.68, 0.40, 0.11],
+          [0.61, 0.95, 1.00, 0.78, 0.78, 0.77, 0.52, 0.22],
+          [0.75, 0.93, 0.78, 0.00, 0.00, 0.78, 0.54, 0.19],
+          [0.64, 0.85, 0.78, 0.00, 0.00, 0.78, 0.45, 0.08],
+          [0.41, 0.68, 0.77, 0.78, 0.78, 0.55, 0.25, 0.02],
+          [0.18, 0.40, 0.52, 0.54, 0.45, 0.25, 0.00, 0.00],
+          [0.00, 0.11, 0.22, 0.19, 0.08, 0.02, 0.00, 0.00]],
+
+         [[0.00, 0.19, 0.39, 0.48, 0.41, 0.26, 0.12, 0.00],
+          [0.19, 0.52, 0.73, 0.78, 0.66, 0.46, 0.26, 0.07],
+          [0.39, 0.73, 0.95, 0.50, 0.50, 0.53, 0.30, 0.14],
+          [0.48, 0.78, 0.50, 0.00, 0.00, 0.50, 0.23, 0.12],
+          [0.41, 0.66, 0.50, 0.00, 0.00, 0.50, 0.11, 0.05],
+          [0.26, 0.46, 0.53, 0.50, 0.50, 0.11, 0.03, 0.01],
+          [0.12, 0.26, 0.30, 0.23, 0.11, 0.03, 0.00, 0.00],
+          [0.00, 0.07, 0.14, 0.12, 0.05, 0.01, 0.00, 0.00]],
+
+         [[1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 0.00, 0.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00],
+          [1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00, 1.00]],
+         ]).T
 
     assert_array_almost_equal(rgb, expect, decimal=2)
 
 
 def test_light_source_hillshading():
-    """Compare the current hillshading method against one that should be
-    mathematically equivalent. Illuminates a cone from a range of angles."""
+    """
+    Compare the current hillshading method against one that should be
+    mathematically equivalent. Illuminates a cone from a range of angles.
+    """
 
     def alternative_hillshade(azimuth, elev, z):
         illum = _sph2cart(*_azimuth2math(azimuth, elev))
@@ -382,18 +1120,11 @@ def alternative_hillshade(azimuth, elev, z):
         dy = -dy
         dz = np.ones_like(dy)
         normals = np.dstack([dx, dy, dz])
-        dividers = np.zeros_like(z)[..., None]
-        for i, mat in enumerate(normals):
-            for j, vec in enumerate(mat):
-                dividers[i, j, 0] = np.linalg.norm(vec)
-        normals /= dividers
-        # once we drop support for numpy 1.7.x the above can be written as
-        # normals /= np.linalg.norm(normals, axis=2)[..., None]
-        # aviding the double loop.
+        normals /= np.linalg.norm(normals, axis=2)[..., None]
 
         intensity = np.tensordot(normals, illum, axes=(2, 0))
         intensity -= intensity.min()
-        intensity /= intensity.ptp()
+        intensity /= np.ptp(intensity)
         return intensity
 
     y, x = np.mgrid[5:0:-1, :5]
@@ -407,20 +1138,25 @@ def alternative_hillshade(azimuth, elev, z):
 
 
 def test_light_source_planar_hillshading():
-    """Ensure that the illumination intensity is correct for planar
-    surfaces."""
+    """
+    Ensure that the illumination intensity is correct for planar surfaces.
+    """
 
     def plane(azimuth, elevation, x, y):
-        """Create a plane whose normal vector is at the given azimuth and
-        elevation."""
+        """
+        Create a plane whose normal vector is at the given azimuth and
+        elevation.
+        """
         theta, phi = _azimuth2math(azimuth, elevation)
         a, b, c = _sph2cart(theta, phi)
         z = -(a*x + b*y) / c
         return z
 
     def angled_plane(azimuth, elevation, angle, x, y):
-        """Create a plane whose normal vector is at an angle from the given
-        azimuth and elevation."""
+        """
+        Create a plane whose normal vector is at an angle from the given
+        azimuth and elevation.
+        """
         elevation = elevation + angle
         if elevation > 90:
             azimuth = (azimuth + 180) % 360
@@ -438,6 +1174,12 @@ def angled_plane(azimuth, elevation, angle, x, y):
             assert_array_almost_equal(h, np.cos(np.radians(angle)))
 
 
+def test_color_names():
+    assert mcolors.to_hex("blue") == "#0000ff"
+    assert mcolors.to_hex("xkcd:blue") == "#0343df"
+    assert mcolors.to_hex("tab:blue") == "#1f77b4"
+
+
 def _sph2cart(theta, phi):
     x = np.cos(theta) * np.sin(phi)
     y = np.sin(theta) * np.sin(phi)
@@ -446,13 +1188,644 @@ def _sph2cart(theta, phi):
 
 
 def _azimuth2math(azimuth, elevation):
-    """Converts from clockwise-from-north and up-from-horizontal to
-    mathematical conventions."""
+    """
+    Convert from clockwise-from-north and up-from-horizontal to mathematical
+    conventions.
+    """
     theta = np.radians((90 - azimuth) % 360)
     phi = np.radians(90 - elevation)
     return theta, phi
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_pandas_iterable(pd):
+    # Using a list or series yields equivalent
+    # colormaps, i.e the series isn't seen as
+    # a single color
+    lst = ['red', 'blue', 'green']
+    s = pd.Series(lst)
+    cm1 = mcolors.ListedColormap(lst)
+    cm2 = mcolors.ListedColormap(s)
+    assert_array_equal(cm1.colors, cm2.colors)
+
+
+@pytest.mark.parametrize('name', sorted(mpl.colormaps()))
+def test_colormap_reversing(name):
+    """
+    Check the generated _lut data of a colormap and corresponding reversed
+    colormap if they are almost the same.
+    """
+    cmap = mpl.colormaps[name]
+    cmap_r = cmap.reversed()
+    if not cmap_r._isinit:
+        cmap._init()
+        cmap_r._init()
+    assert_array_almost_equal(cmap._lut[:-3], cmap_r._lut[-4::-1])
+    # Test the bad, over, under values too
+    assert_array_almost_equal(cmap(-np.inf), cmap_r(np.inf))
+    assert_array_almost_equal(cmap(np.inf), cmap_r(-np.inf))
+    assert_array_almost_equal(cmap(np.nan), cmap_r(np.nan))
+
+
+def test_has_alpha_channel():
+    assert mcolors._has_alpha_channel((0, 0, 0, 0))
+    assert mcolors._has_alpha_channel([1, 1, 1, 1])
+    assert mcolors._has_alpha_channel('#fff8')
+    assert mcolors._has_alpha_channel('#0f0f0f80')
+    assert mcolors._has_alpha_channel(('r', 0.5))
+    assert mcolors._has_alpha_channel(([1, 1, 1, 1], None))
+    assert not mcolors._has_alpha_channel('blue')  # 4-char string!
+    assert not mcolors._has_alpha_channel('0.25')
+    assert not mcolors._has_alpha_channel('r')
+    assert not mcolors._has_alpha_channel((1, 0, 0))
+    assert not mcolors._has_alpha_channel('#fff')
+    assert not mcolors._has_alpha_channel('#0f0f0f')
+    assert not mcolors._has_alpha_channel(('r', None))
+    assert not mcolors._has_alpha_channel(([1, 1, 1], None))
+
+
+def test_cn():
+    matplotlib.rcParams['axes.prop_cycle'] = cycler('color',
+                                                    ['blue', 'r'])
+    assert mcolors.to_hex("C0") == '#0000ff'
+    assert mcolors.to_hex("C1") == '#ff0000'
+
+    matplotlib.rcParams['axes.prop_cycle'] = cycler('color',
+                                                    ['xkcd:blue', 'r'])
+    assert mcolors.to_hex("C0") == '#0343df'
+    assert mcolors.to_hex("C1") == '#ff0000'
+    assert mcolors.to_hex("C10") == '#0343df'
+    assert mcolors.to_hex("C11") == '#ff0000'
+
+    matplotlib.rcParams['axes.prop_cycle'] = cycler('color', ['8e4585', 'r'])
+
+    assert mcolors.to_hex("C0") == '#8e4585'
+    # if '8e4585' gets parsed as a float before it gets detected as a hex
+    # colour it will be interpreted as a very large number.
+    # this mustn't happen.
+    assert mcolors.to_rgb("C0")[0] != np.inf
+
+
+def test_conversions():
+    # to_rgba_array("none") returns a (0, 4) array.
+    assert_array_equal(mcolors.to_rgba_array("none"), np.zeros((0, 4)))
+    assert_array_equal(mcolors.to_rgba_array([]), np.zeros((0, 4)))
+    # a list of grayscale levels, not a single color.
+    assert_array_equal(
+        mcolors.to_rgba_array([".2", ".5", ".8"]),
+        np.vstack([mcolors.to_rgba(c) for c in [".2", ".5", ".8"]]))
+    # alpha is properly set.
+    assert mcolors.to_rgba((1, 1, 1), .5) == (1, 1, 1, .5)
+    assert mcolors.to_rgba(".1", .5) == (.1, .1, .1, .5)
+    # builtin round differs between py2 and py3.
+    assert mcolors.to_hex((.7, .7, .7)) == "#b2b2b2"
+    # hex roundtrip.
+    hex_color = "#1234abcd"
+    assert mcolors.to_hex(mcolors.to_rgba(hex_color), keep_alpha=True) == \
+        hex_color
+
+
+def test_conversions_masked():
+    x1 = np.ma.array(['k', 'b'], mask=[True, False])
+    x2 = np.ma.array([[0, 0, 0, 1], [0, 0, 1, 1]])
+    x2[0] = np.ma.masked
+    assert mcolors.to_rgba(x1[0]) == (0, 0, 0, 0)
+    assert_array_equal(mcolors.to_rgba_array(x1),
+                       [[0, 0, 0, 0], [0, 0, 1, 1]])
+    assert_array_equal(mcolors.to_rgba_array(x2), mcolors.to_rgba_array(x1))
+
+
+def test_to_rgba_array_single_str():
+    # single color name is valid
+    assert_array_equal(mcolors.to_rgba_array("red"), [(1, 0, 0, 1)])
+
+    # single char color sequence is invalid
+    with pytest.raises(ValueError,
+                       match="'rgb' is not a valid color value."):
+        array = mcolors.to_rgba_array("rgb")
+
+
+def test_to_rgba_array_2tuple_str():
+    expected = np.array([[0, 0, 0, 1], [1, 1, 1, 1]])
+    assert_array_equal(mcolors.to_rgba_array(("k", "w")), expected)
+
+
+def test_to_rgba_array_alpha_array():
+    with pytest.raises(ValueError, match="The number of colors must match"):
+        mcolors.to_rgba_array(np.ones((5, 3), float), alpha=np.ones((2,)))
+    alpha = [0.5, 0.6]
+    c = mcolors.to_rgba_array(np.ones((2, 3), float), alpha=alpha)
+    assert_array_equal(c[:, 3], alpha)
+    c = mcolors.to_rgba_array(['r', 'g'], alpha=alpha)
+    assert_array_equal(c[:, 3], alpha)
+
+
+def test_to_rgba_array_accepts_color_alpha_tuple():
+    assert_array_equal(
+        mcolors.to_rgba_array(('black', 0.9)),
+        [[0, 0, 0, 0.9]])
+
+
+def test_to_rgba_array_explicit_alpha_overrides_tuple_alpha():
+    assert_array_equal(
+        mcolors.to_rgba_array(('black', 0.9), alpha=0.5),
+        [[0, 0, 0, 0.5]])
+
+
+def test_to_rgba_array_accepts_color_alpha_tuple_with_multiple_colors():
+    color_array = np.array([[1., 1., 1., 1.], [0., 0., 1., 0.]])
+    assert_array_equal(
+        mcolors.to_rgba_array((color_array, 0.2)),
+        [[1., 1., 1., 0.2], [0., 0., 1., 0.2]])
+
+    color_sequence = [[1., 1., 1., 1.], [0., 0., 1., 0.]]
+    assert_array_equal(
+        mcolors.to_rgba_array((color_sequence, 0.4)),
+        [[1., 1., 1., 0.4], [0., 0., 1., 0.4]])
+
+
+def test_to_rgba_array_error_with_color_invalid_alpha_tuple():
+    with pytest.raises(ValueError, match="'alpha' must be between 0 and 1,"):
+        mcolors.to_rgba_array(('black', 2.0))
+
+
+@pytest.mark.parametrize('rgba_alpha',
+                         [('white', 0.5), ('#ffffff', 0.5), ('#ffffff00', 0.5),
+                          ((1.0, 1.0, 1.0, 1.0), 0.5)])
+def test_to_rgba_accepts_color_alpha_tuple(rgba_alpha):
+    assert mcolors.to_rgba(rgba_alpha) == (1, 1, 1, 0.5)
+
+
+def test_to_rgba_explicit_alpha_overrides_tuple_alpha():
+    assert mcolors.to_rgba(('red', 0.1), alpha=0.9) == (1, 0, 0, 0.9)
+
+
+def test_to_rgba_error_with_color_invalid_alpha_tuple():
+    with pytest.raises(ValueError, match="'alpha' must be between 0 and 1"):
+        mcolors.to_rgba(('blue', 2.0))
+
+
+@pytest.mark.parametrize("bytes", (True, False))
+def test_scalarmappable_to_rgba(bytes):
+    sm = cm.ScalarMappable()
+    alpha_1 = 255 if bytes else 1
+
+    # uint8 RGBA
+    x = np.ones((2, 3, 4), dtype=np.uint8)
+    expected = x.copy() if bytes else x.astype(np.float32)/255
+    np.testing.assert_almost_equal(sm.to_rgba(x, bytes=bytes), expected)
+    # uint8 RGB
+    expected[..., 3] = alpha_1
+    np.testing.assert_almost_equal(sm.to_rgba(x[..., :3], bytes=bytes), expected)
+    # uint8 masked RGBA
+    xm = np.ma.masked_array(x, mask=np.zeros_like(x))
+    xm.mask[0, 0, 0] = True
+    expected = x.copy() if bytes else x.astype(np.float32)/255
+    expected[0, 0, 3] = 0
+    np.testing.assert_almost_equal(sm.to_rgba(xm, bytes=bytes), expected)
+    # uint8 masked RGB
+    expected[..., 3] = alpha_1
+    expected[0, 0, 3] = 0
+    np.testing.assert_almost_equal(sm.to_rgba(xm[..., :3], bytes=bytes), expected)
+
+    # float RGBA
+    x = np.ones((2, 3, 4), dtype=float) * 0.5
+    expected = (x * 255).astype(np.uint8) if bytes else x.copy()
+    np.testing.assert_almost_equal(sm.to_rgba(x, bytes=bytes), expected)
+    # float RGB
+    expected[..., 3] = alpha_1
+    np.testing.assert_almost_equal(sm.to_rgba(x[..., :3], bytes=bytes), expected)
+    # float masked RGBA
+    xm = np.ma.masked_array(x, mask=np.zeros_like(x))
+    xm.mask[0, 0, 0] = True
+    expected = (x * 255).astype(np.uint8) if bytes else x.copy()
+    expected[0, 0, 3] = 0
+    np.testing.assert_almost_equal(sm.to_rgba(xm, bytes=bytes), expected)
+    # float masked RGB
+    expected[..., 3] = alpha_1
+    expected[0, 0, 3] = 0
+    np.testing.assert_almost_equal(sm.to_rgba(xm[..., :3], bytes=bytes), expected)
+
+
+@pytest.mark.parametrize("bytes", (True, False))
+def test_scalarmappable_nan_to_rgba(bytes):
+    sm = cm.ScalarMappable()
+
+    # RGBA
+    x = np.ones((2, 3, 4), dtype=float) * 0.5
+    x[0, 0, 0] = np.nan
+    expected = x.copy()
+    expected[0, 0, :] = 0
+    if bytes:
+        expected = (expected * 255).astype(np.uint8)
+    np.testing.assert_almost_equal(sm.to_rgba(x, bytes=bytes), expected)
+    assert np.any(np.isnan(x))  # Input array should not be changed
+
+    # RGB
+    expected[..., 3] = 255 if bytes else 1
+    expected[0, 0, 3] = 0
+    np.testing.assert_almost_equal(sm.to_rgba(x[..., :3], bytes=bytes), expected)
+    assert np.any(np.isnan(x))  # Input array should not be changed
+
+    # Out-of-range fail
+    x[1, 0, 0] = 42
+    with pytest.raises(ValueError, match='0..1 range'):
+        sm.to_rgba(x[..., :3], bytes=bytes)
+
+
+def test_failed_conversions():
+    with pytest.raises(ValueError):
+        mcolors.to_rgba('5')
+    with pytest.raises(ValueError):
+        mcolors.to_rgba('-1')
+    with pytest.raises(ValueError):
+        mcolors.to_rgba('nan')
+    with pytest.raises(ValueError):
+        mcolors.to_rgba('unknown_color')
+    with pytest.raises(ValueError):
+        # Gray must be a string to distinguish 3-4 grays from RGB or RGBA.
+        mcolors.to_rgba(0.4)
+
+
+def test_grey_gray():
+    color_mapping = mcolors._colors_full_map
+    for k in color_mapping.keys():
+        if 'grey' in k:
+            assert color_mapping[k] == color_mapping[k.replace('grey', 'gray')]
+        if 'gray' in k:
+            assert color_mapping[k] == color_mapping[k.replace('gray', 'grey')]
+
+
+def test_tableau_order():
+    dflt_cycle = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728',
+                  '#9467bd', '#8c564b', '#e377c2', '#7f7f7f',
+                  '#bcbd22', '#17becf']
+
+    assert list(mcolors.TABLEAU_COLORS.values()) == dflt_cycle
+
+
+def test_ndarray_subclass_norm():
+    # Emulate an ndarray subclass that handles units
+    # which objects when adding or subtracting with other
+    # arrays. See #6622 and #8696
+    class MyArray(np.ndarray):
+        def __isub__(self, other):  # type: ignore[misc]
+            raise RuntimeError
+
+        def __add__(self, other):
+            raise RuntimeError
+
+    data = np.arange(-10, 10, 1, dtype=float).reshape((10, 2))
+    mydata = data.view(MyArray)
+
+    for norm in [mcolors.Normalize(), mcolors.LogNorm(),
+                 mcolors.SymLogNorm(3, vmax=5, linscale=1, base=np.e),
+                 mcolors.Normalize(vmin=mydata.min(), vmax=mydata.max()),
+                 mcolors.SymLogNorm(3, vmin=mydata.min(), vmax=mydata.max(),
+                                    base=np.e),
+                 mcolors.PowerNorm(1)]:
+        assert_array_equal(norm(mydata), norm(data))
+        fig, ax = plt.subplots()
+        ax.imshow(mydata, norm=norm)
+        fig.canvas.draw()  # Check that no warning is emitted.
+
+
+def test_same_color():
+    assert mcolors.same_color('k', (0, 0, 0))
+    assert not mcolors.same_color('w', (1, 1, 0))
+    assert mcolors.same_color(['red', 'blue'], ['r', 'b'])
+    assert mcolors.same_color('none', 'none')
+    assert not mcolors.same_color('none', 'red')
+    with pytest.raises(ValueError):
+        mcolors.same_color(['r', 'g', 'b'], ['r'])
+    with pytest.raises(ValueError):
+        mcolors.same_color(['red', 'green'], 'none')
+
+
+def test_hex_shorthand_notation():
+    assert mcolors.same_color("#123", "#112233")
+    assert mcolors.same_color("#123a", "#112233aa")
+
+
+def test_repr_png():
+    cmap = mpl.colormaps['viridis']
+    png = cmap._repr_png_()
+    assert len(png) > 0
+    img = Image.open(BytesIO(png))
+    assert img.width > 0
+    assert img.height > 0
+    assert 'Title' in img.text
+    assert 'Description' in img.text
+    assert 'Author' in img.text
+    assert 'Software' in img.text
+
+
+def test_repr_html():
+    cmap = mpl.colormaps['viridis']
+    html = cmap._repr_html_()
+    assert len(html) > 0
+    png = cmap._repr_png_()
+    assert base64.b64encode(png).decode('ascii') in html
+    assert cmap.name in html
+    assert html.startswith('<div')
+    assert html.endswith('</div>')
+
+
+def test_get_under_over_bad():
+    cmap = mpl.colormaps['viridis']
+    assert_array_equal(cmap.get_under(), cmap(-np.inf))
+    assert_array_equal(cmap.get_over(), cmap(np.inf))
+    assert_array_equal(cmap.get_bad(), cmap(np.nan))
+
+
+@pytest.mark.parametrize('kind', ('over', 'under', 'bad'))
+def test_non_mutable_get_values(kind):
+    cmap = copy.copy(mpl.colormaps['viridis'])
+    init_value = getattr(cmap, f'get_{kind}')()
+    getattr(cmap, f'set_{kind}')('k')
+    black_value = getattr(cmap, f'get_{kind}')()
+    assert np.all(black_value == [0, 0, 0, 1])
+    assert not np.all(init_value == black_value)
+
+
+def test_colormap_alpha_array():
+    cmap = mpl.colormaps['viridis']
+    vals = [-1, 0.5, 2]  # under, valid, over
+    with pytest.raises(ValueError, match="alpha is array-like but"):
+        cmap(vals, alpha=[1, 1, 1, 1])
+    alpha = np.array([0.1, 0.2, 0.3])
+    c = cmap(vals, alpha=alpha)
+    assert_array_equal(c[:, -1], alpha)
+    c = cmap(vals, alpha=alpha, bytes=True)
+    assert_array_equal(c[:, -1], (alpha * 255).astype(np.uint8))
+
+
+def test_colormap_bad_data_with_alpha():
+    cmap = mpl.colormaps['viridis']
+    c = cmap(np.nan, alpha=0.5)
+    assert c == (0, 0, 0, 0)
+    c = cmap([0.5, np.nan], alpha=0.5)
+    assert_array_equal(c[1], (0, 0, 0, 0))
+    c = cmap([0.5, np.nan], alpha=[0.1, 0.2])
+    assert_array_equal(c[1], (0, 0, 0, 0))
+    c = cmap([[np.nan, 0.5], [0, 0]], alpha=0.5)
+    assert_array_equal(c[0, 0], (0, 0, 0, 0))
+    c = cmap([[np.nan, 0.5], [0, 0]], alpha=np.full((2, 2), 0.5))
+    assert_array_equal(c[0, 0], (0, 0, 0, 0))
+
+
+def test_2d_to_rgba():
+    color = np.array([0.1, 0.2, 0.3])
+    rgba_1d = mcolors.to_rgba(color.reshape(-1))
+    rgba_2d = mcolors.to_rgba(color.reshape((1, -1)))
+    assert rgba_1d == rgba_2d
+
+
+def test_set_dict_to_rgba():
+    # downstream libraries do this...
+    # note we can't test this because it is not well-ordered
+    # so just smoketest:
+    colors = {(0, .5, 1), (1, .2, .5), (.4, 1, .2)}
+    res = mcolors.to_rgba_array(colors)
+    palette = {"red": (1, 0, 0), "green": (0, 1, 0), "blue": (0, 0, 1)}
+    res = mcolors.to_rgba_array(palette.values())
+    exp = np.eye(3)
+    np.testing.assert_array_almost_equal(res[:, :-1], exp)
+
+
+def test_norm_deepcopy():
+    norm = mcolors.LogNorm()
+    norm.vmin = 0.0002
+    norm2 = copy.deepcopy(norm)
+    assert norm2.vmin == norm.vmin
+    assert isinstance(norm2._scale, mscale.LogScale)
+    norm = mcolors.Normalize()
+    norm.vmin = 0.0002
+    norm2 = copy.deepcopy(norm)
+    assert norm2._scale is None
+    assert norm2.vmin == norm.vmin
+
+
+def test_set_clim_emits_single_callback():
+    data = np.array([[1, 2], [3, 4]])
+    fig, ax = plt.subplots()
+    image = ax.imshow(data, cmap='viridis')
+
+    callback = unittest.mock.Mock()
+    image.norm.callbacks.connect('changed', callback)
+
+    callback.assert_not_called()
+
+    # Call set_clim() to update the limits
+    image.set_clim(1, 5)
+
+    # Assert that only one "changed" callback is sent after calling set_clim()
+    callback.assert_called_once()
+
+
+def test_norm_callback():
+    increment = unittest.mock.Mock(return_value=None)
+
+    norm = mcolors.Normalize()
+    norm.callbacks.connect('changed', increment)
+    # Haven't updated anything, so call count should be 0
+    assert increment.call_count == 0
+
+    # Now change vmin and vmax to test callbacks
+    norm.vmin = 1
+    assert increment.call_count == 1
+    norm.vmax = 5
+    assert increment.call_count == 2
+    # callback shouldn't be called if setting to the same value
+    norm.vmin = 1
+    assert increment.call_count == 2
+    norm.vmax = 5
+    assert increment.call_count == 2
+
+    # We only want autoscale() calls to send out one update signal
+    increment.call_count = 0
+    norm.autoscale([0, 1, 2])
+    assert increment.call_count == 1
+
+
+def test_scalarmappable_norm_update():
+    norm = mcolors.Normalize()
+    sm = matplotlib.cm.ScalarMappable(norm=norm, cmap='plasma')
+    # sm doesn't have a stale attribute at first, set it to False
+    sm.stale = False
+    # The mappable should be stale after updating vmin/vmax
+    norm.vmin = 5
+    assert sm.stale
+    sm.stale = False
+    norm.vmax = 5
+    assert sm.stale
+    sm.stale = False
+    norm.clip = True
+    assert sm.stale
+    # change to the CenteredNorm and TwoSlopeNorm to test those
+    # Also make sure that updating the norm directly and with
+    # set_norm both update the Norm callback
+    norm = mcolors.CenteredNorm()
+    sm.norm = norm
+    sm.stale = False
+    norm.vcenter = 1
+    assert sm.stale
+    norm = mcolors.TwoSlopeNorm(vcenter=0, vmin=-1, vmax=1)
+    sm.set_norm(norm)
+    sm.stale = False
+    norm.vcenter = 1
+    assert sm.stale
+
+
+@check_figures_equal()
+def test_norm_update_figs(fig_test, fig_ref):
+    ax_ref = fig_ref.add_subplot()
+    ax_test = fig_test.add_subplot()
+
+    z = np.arange(100).reshape((10, 10))
+    ax_ref.imshow(z, norm=mcolors.Normalize(10, 90))
+
+    # Create the norm beforehand with different limits and then update
+    # after adding to the plot
+    norm = mcolors.Normalize(0, 1)
+    ax_test.imshow(z, norm=norm)
+    # Force initial draw to make sure it isn't already stale
+    fig_test.canvas.draw()
+    norm.vmin, norm.vmax = 10, 90
+
+
+def test_make_norm_from_scale_name():
+    logitnorm = mcolors.make_norm_from_scale(
+        mscale.LogitScale, mcolors.Normalize)
+    assert logitnorm.__name__ == logitnorm.__qualname__ == "LogitScaleNorm"
+
+
+def test_color_sequences():
+    # basic access
+    assert plt.color_sequences is matplotlib.color_sequences  # same registry
+    assert list(plt.color_sequences) == [
+        'tab10', 'tab20', 'tab20b', 'tab20c', 'Pastel1', 'Pastel2', 'Paired',
+        'Accent', 'Dark2', 'Set1', 'Set2', 'Set3', 'petroff6', 'petroff8',
+        'petroff10']
+    assert len(plt.color_sequences['tab10']) == 10
+    assert len(plt.color_sequences['tab20']) == 20
+
+    tab_colors = [
+        'tab:blue', 'tab:orange', 'tab:green', 'tab:red', 'tab:purple',
+        'tab:brown', 'tab:pink', 'tab:gray', 'tab:olive', 'tab:cyan']
+    for seq_color, tab_color in zip(plt.color_sequences['tab10'], tab_colors):
+        assert mcolors.same_color(seq_color, tab_color)
+
+    # registering
+    with pytest.raises(ValueError, match="reserved name"):
+        plt.color_sequences.register('tab10', ['r', 'g', 'b'])
+    with pytest.raises(ValueError, match="not a valid color specification"):
+        plt.color_sequences.register('invalid', ['not a color'])
+
+    rgb_colors = ['r', 'g', 'b']
+    plt.color_sequences.register('rgb', rgb_colors)
+    assert plt.color_sequences['rgb'] == ['r', 'g', 'b']
+    # should not affect the registered sequence because input is copied
+    rgb_colors.append('c')
+    assert plt.color_sequences['rgb'] == ['r', 'g', 'b']
+    # should not affect the registered sequence because returned list is a copy
+    plt.color_sequences['rgb'].append('c')
+    assert plt.color_sequences['rgb'] == ['r', 'g', 'b']
+
+    # unregister
+    plt.color_sequences.unregister('rgb')
+    with pytest.raises(KeyError):
+        plt.color_sequences['rgb']  # rgb is gone
+    plt.color_sequences.unregister('rgb')  # multiple unregisters are ok
+    with pytest.raises(ValueError, match="Cannot unregister builtin"):
+        plt.color_sequences.unregister('tab10')
+
+
+def test_cm_set_cmap_error():
+    sm = cm.ScalarMappable()
+    # Pick a name we are pretty sure will never be a colormap name
+    bad_cmap = 'AardvarksAreAwkward'
+    with pytest.raises(ValueError, match=bad_cmap):
+        sm.set_cmap(bad_cmap)
+
+
+def test_set_cmap_mismatched_name():
+    cmap = matplotlib.colormaps["viridis"].with_extremes(over='r')
+    # register it with different names
+    cmap.name = "test-cmap"
+    matplotlib.colormaps.register(name='wrong-cmap', cmap=cmap)
+
+    plt.set_cmap("wrong-cmap")
+    cmap_returned = plt.get_cmap("wrong-cmap")
+    assert cmap_returned == cmap
+    assert cmap_returned.name == "wrong-cmap"
+
+
+def test_cmap_alias_names():
+    assert matplotlib.colormaps["gray"].name == "gray"  # original
+    assert matplotlib.colormaps["grey"].name == "grey"  # alias
+
+
+def test_to_rgba_array_none_color_with_alpha_param():
+    # effective alpha for color "none" must always be 0 to achieve a vanishing color
+    # even explicit alpha must be ignored
+    c = ["blue", "none"]
+    alpha = [1, 1]
+    assert_array_equal(
+        to_rgba_array(c, alpha), [[0., 0., 1., 1.], [0., 0., 0., 0.]]
+    )
+
+
+@pytest.mark.parametrize('input, expected',
+                         [('red', True),
+                          (('red', 0.5), True),
+                          (('red', 2), False),
+                          (['red', 0.5], False),
+                          (('red', 'blue'), False),
+                          (['red', 'blue'], False),
+                          ('C3', True),
+                          (('C3', 0.5), True)])
+def test_is_color_like(input, expected):
+    assert is_color_like(input) is expected
+
+
+def test_colorizer_vmin_vmax():
+    ca = mcolorizer.Colorizer()
+    assert ca.vmin is None
+    assert ca.vmax is None
+    ca.vmin = 1
+    ca.vmax = 3
+    assert ca.vmin == 1.0
+    assert ca.vmax == 3.0
+    assert ca.norm.vmin == 1.0
+    assert ca.norm.vmax == 3.0
+
+
+def test_LinearSegmentedColormap_from_list_color_alpha_tuple():
+    """
+    GitHub issue #29042: A bug in 'from_list' causes an error
+    when passing a tuple (str, float) where the string is a
+    color name or grayscale value and float is an alpha value.
+    """
+    colors = [("red", 0.3), ("0.42", 0.1), "green"]
+    cmap = mcolors.LinearSegmentedColormap.from_list("lsc", colors, N=3)
+    assert_array_almost_equal(cmap([.0, 0.5, 1.]), to_rgba_array(colors))
+
+
+@pytest.mark.parametrize("colors",
+                         [[(0.42, "blue"), (.1, .1, .1, .1)],
+                          ["blue", (0.42, "red")],
+                          ["blue", (.1, .1, .1, .1), ("red", 2)],
+                          [(0, "red"), (1.1, "blue")],
+                          [(0.52, "red"), (0.42, "blue")]])
+def test_LinearSegmentedColormap_from_list_invalid_inputs(colors):
+    with pytest.raises(ValueError):
+        mcolors.LinearSegmentedColormap.from_list("lsc", colors)
+
+
+def test_LinearSegmentedColormap_from_list_value_color_tuple():
+    value_color_tuples = [(0, "red"), (0.6, "blue"), (1, "green")]
+    cmap = mcolors.LinearSegmentedColormap.from_list("lsc", value_color_tuples, N=11)
+    assert_array_almost_equal(
+        cmap([value for value, _ in value_color_tuples]),
+        to_rgba_array([color for _, color in value_color_tuples]),
+    )
diff --git a/lib/matplotlib/tests/test_compare_images.py b/lib/matplotlib/tests/test_compare_images.py
index 8aa4497845ff..6023f3d05468 100644
--- a/lib/matplotlib/tests/test_compare_images.py
+++ b/lib/matplotlib/tests/test_compare_images.py
@@ -1,23 +1,51 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import os
+from pathlib import Path
 import shutil
 
-from nose.tools import assert_equal, assert_not_equal, assert_almost_equal
+import pytest
+from pytest import approx
 
 from matplotlib.testing.compare import compare_images
 from matplotlib.testing.decorators import _image_directories
 
 
-baseline_dir, result_dir = _image_directories(lambda: 'dummy func')
-
-
 # Tests of the image comparison algorithm.
-def image_comparison_expect_rms(im1, im2, tol, expect_rms):
-    """Compare two images, expecting a particular RMS error.
+@pytest.mark.parametrize(
+    'im1, im2, tol, expect_rms',
+    [
+        # Comparison of an image and the same image with minor differences.
+        # This expects the images to compare equal under normal tolerance, and
+        # have a small RMS.
+        ('basn3p02.png', 'basn3p02-minorchange.png', 10, None),
+        # Now test with no tolerance.
+        ('basn3p02.png', 'basn3p02-minorchange.png', 0, 6.50646),
+        # Comparison with an image that is shifted by 1px in the X axis.
+        ('basn3p02.png', 'basn3p02-1px-offset.png', 0, 90.15611),
+        # Comparison with an image with half the pixels shifted by 1px in the X
+        # axis.
+        ('basn3p02.png', 'basn3p02-half-1px-offset.png', 0, 63.75),
+        # Comparison of an image and the same image scrambled.
+        # This expects the images to compare completely different, with a very
+        # large RMS.
+        # Note: The image has been scrambled in a specific way, by having
+        # each color component of each pixel randomly placed somewhere in the
+        # image. It contains exactly the same number of pixels of each color
+        # value of R, G and B, but in a totally different position.
+        # Test with no tolerance to make sure that we pick up even a very small
+        # RMS error.
+        ('basn3p02.png', 'basn3p02-scrambled.png', 0, 172.63582),
+        # Comparison of an image and a slightly brighter image.
+        # The two images are solid color, with the second image being exactly 1
+        # color value brighter.
+        # This expects the images to compare equal under normal tolerance, and
+        # have an RMS of exactly 1.
+        ('all127.png', 'all128.png', 0, 1),
+        # Now test the reverse comparison.
+        ('all128.png', 'all127.png', 0, 1),
+    ])
+def test_image_comparison_expect_rms(im1, im2, tol, expect_rms, tmp_path,
+                                     monkeypatch):
+    """
+    Compare two images, expecting a particular RMS error.
 
     im1 and im2 are filenames relative to the baseline_dir directory.
 
@@ -27,80 +55,19 @@ def image_comparison_expect_rms(im1, im2, tol, expect_rms):
     succeed if compare_images succeeds. Otherwise, the test will succeed if
     compare_images fails and returns an RMS error almost equal to this value.
     """
-    im1 = os.path.join(baseline_dir, im1)
-    im2_src = os.path.join(baseline_dir, im2)
-    im2 = os.path.join(result_dir, im2)
-    # Move im2 from baseline_dir to result_dir. This will ensure that
-    # compare_images writes the diff file to result_dir, instead of trying to
-    # write to the (possibly read-only) baseline_dir.
-    shutil.copyfile(im2_src, im2)
-    results = compare_images(im1, im2, tol=tol, in_decorator=True)
+    # Change the working directory using monkeypatch to use a temporary
+    # test specific directory
+    monkeypatch.chdir(tmp_path)
+    baseline_dir, result_dir = map(Path, _image_directories(lambda: "dummy"))
+    # Copy "test" image to result_dir, so that compare_images writes
+    # the diff to result_dir, rather than to the source tree
+    result_im2 = result_dir / im1
+    shutil.copyfile(baseline_dir / im2, result_im2)
+    results = compare_images(
+        baseline_dir / im1, result_im2, tol=tol, in_decorator=True)
 
     if expect_rms is None:
-        assert_equal(None, results)
+        assert results is None
     else:
-        assert_not_equal(None, results)
-        assert_almost_equal(expect_rms, results['rms'], places=4)
-
-
-def test_image_compare_basic():
-    #: Test comparison of an image and the same image with minor differences.
-
-    # This expects the images to compare equal under normal tolerance, and have
-    # a small RMS.
-    im1 = 'basn3p02.png'
-    im2 = 'basn3p02-minorchange.png'
-    image_comparison_expect_rms(im1, im2, tol=10, expect_rms=None)
-
-    # Now test with no tolerance.
-    image_comparison_expect_rms(im1, im2, tol=0, expect_rms=6.50646)
-
-
-def test_image_compare_1px_offset():
-    #: Test comparison with an image that is shifted by 1px in the X axis.
-    im1 = 'basn3p02.png'
-    im2 = 'basn3p02-1px-offset.png'
-    image_comparison_expect_rms(im1, im2, tol=0, expect_rms=90.15611)
-
-
-def test_image_compare_half_1px_offset():
-    #: Test comparison with an image with half the pixels shifted by 1px in
-    #: the X axis.
-    im1 = 'basn3p02.png'
-    im2 = 'basn3p02-half-1px-offset.png'
-    image_comparison_expect_rms(im1, im2, tol=0, expect_rms=63.75)
-
-
-def test_image_compare_scrambled():
-    #: Test comparison of an image and the same image scrambled.
-
-    # This expects the images to compare completely different, with a very
-    # large RMS.
-    # Note: The image has been scrambled in a specific way, by having each
-    # color component of each pixel randomly placed somewhere in the image. It
-    # contains exactly the same number of pixels of each color value of R, G
-    # and B, but in a totally different position.
-    im1 = 'basn3p02.png'
-    im2 = 'basn3p02-scrambled.png'
-    # Test with no tolerance to make sure that we pick up even a very small RMS
-    # error.
-    image_comparison_expect_rms(im1, im2, tol=0, expect_rms=172.63582)
-
-
-def test_image_compare_shade_difference():
-    #: Test comparison of an image and a slightly brighter image.
-    # The two images are solid color, with the second image being exactly 1
-    # color value brighter.
-    # This expects the images to compare equal under normal tolerance, and have
-    # an RMS of exactly 1.
-    im1 = 'all127.png'
-    im2 = 'all128.png'
-    image_comparison_expect_rms(im1, im2, tol=0, expect_rms=1.0)
-
-    # Now test the reverse comparison.
-    image_comparison_expect_rms(im2, im1, tol=0, expect_rms=1.0)
-
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+        assert results is not None
+        assert results['rms'] == approx(expect_rms, abs=1e-4)
diff --git a/lib/matplotlib/tests/test_constrainedlayout.py b/lib/matplotlib/tests/test_constrainedlayout.py
new file mode 100644
index 000000000000..df2dbd6f43bd
--- /dev/null
+++ b/lib/matplotlib/tests/test_constrainedlayout.py
@@ -0,0 +1,743 @@
+import gc
+import platform
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib.testing.decorators import image_comparison
+import matplotlib.pyplot as plt
+import matplotlib.transforms as mtransforms
+from matplotlib import gridspec, ticker
+
+
+pytestmark = [
+    pytest.mark.usefixtures('text_placeholders')
+]
+
+
+def example_plot(ax, fontsize=12, nodec=False):
+    ax.plot([1, 2])
+    ax.locator_params(nbins=3)
+    if not nodec:
+        ax.set_xlabel('x-label', fontsize=fontsize)
+        ax.set_ylabel('y-label', fontsize=fontsize)
+        ax.set_title('Title', fontsize=fontsize)
+    else:
+        ax.set_xticklabels([])
+        ax.set_yticklabels([])
+
+
+def example_pcolor(ax, fontsize=12):
+    dx, dy = 0.6, 0.6
+    y, x = np.mgrid[slice(-3, 3 + dy, dy),
+                    slice(-3, 3 + dx, dx)]
+    z = (1 - x / 2. + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)
+    pcm = ax.pcolormesh(x, y, z[:-1, :-1], cmap='RdBu_r', vmin=-1., vmax=1.,
+                        rasterized=True)
+    ax.set_xlabel('x-label', fontsize=fontsize)
+    ax.set_ylabel('y-label', fontsize=fontsize)
+    ax.set_title('Title', fontsize=fontsize)
+    return pcm
+
+
+@image_comparison(['constrained_layout1.png'], style='mpl20')
+def test_constrained_layout1():
+    """Test constrained_layout for a single subplot"""
+    fig = plt.figure(layout="constrained")
+    ax = fig.add_subplot()
+    example_plot(ax, fontsize=24)
+
+
+@image_comparison(['constrained_layout2.png'], style='mpl20')
+def test_constrained_layout2():
+    """Test constrained_layout for 2x2 subplots"""
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        example_plot(ax, fontsize=24)
+
+
+@image_comparison(['constrained_layout3.png'], style='mpl20')
+def test_constrained_layout3():
+    """Test constrained_layout for colorbars with subplots"""
+
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for nn, ax in enumerate(axs.flat):
+        pcm = example_pcolor(ax, fontsize=24)
+        if nn == 3:
+            pad = 0.08
+        else:
+            pad = 0.02  # default
+        fig.colorbar(pcm, ax=ax, pad=pad)
+
+
+@image_comparison(['constrained_layout4.png'], style='mpl20')
+def test_constrained_layout4():
+    """Test constrained_layout for a single colorbar with subplots"""
+
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        pcm = example_pcolor(ax, fontsize=24)
+    fig.colorbar(pcm, ax=axs, pad=0.01, shrink=0.6)
+
+
+@image_comparison(['constrained_layout5.png'], style='mpl20')
+def test_constrained_layout5():
+    """
+    Test constrained_layout for a single colorbar with subplots,
+    colorbar bottom
+    """
+
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        pcm = example_pcolor(ax, fontsize=24)
+    fig.colorbar(pcm, ax=axs,
+                 use_gridspec=False, pad=0.01, shrink=0.6,
+                 location='bottom')
+
+
+@image_comparison(['constrained_layout6.png'], style='mpl20')
+def test_constrained_layout6():
+    """Test constrained_layout for nested gridspecs"""
+    fig = plt.figure(layout="constrained")
+    gs = fig.add_gridspec(1, 2, figure=fig)
+    gsl = gs[0].subgridspec(2, 2)
+    gsr = gs[1].subgridspec(1, 2)
+    axsl = []
+    for gs in gsl:
+        ax = fig.add_subplot(gs)
+        axsl += [ax]
+        example_plot(ax, fontsize=12)
+    ax.set_xlabel('x-label\nMultiLine')
+    axsr = []
+    for gs in gsr:
+        ax = fig.add_subplot(gs)
+        axsr += [ax]
+        pcm = example_pcolor(ax, fontsize=12)
+
+    fig.colorbar(pcm, ax=axsr,
+                 pad=0.01, shrink=0.99, location='bottom',
+                 ticks=ticker.MaxNLocator(nbins=5))
+
+
+def test_identical_subgridspec():
+
+    fig = plt.figure(constrained_layout=True)
+
+    GS = fig.add_gridspec(2, 1)
+
+    GSA = GS[0].subgridspec(1, 3)
+    GSB = GS[1].subgridspec(1, 3)
+
+    axa = []
+    axb = []
+    for i in range(3):
+        axa += [fig.add_subplot(GSA[i])]
+        axb += [fig.add_subplot(GSB[i])]
+
+    fig.draw_without_rendering()
+    # check first row above second
+    assert axa[0].get_position().y0 > axb[0].get_position().y1
+
+
+def test_constrained_layout7():
+    """Test for proper warning if fig not set in GridSpec"""
+    with pytest.warns(
+        UserWarning, match=('There are no gridspecs with layoutgrids. '
+                            'Possibly did not call parent GridSpec with '
+                            'the "figure" keyword')):
+        fig = plt.figure(layout="constrained")
+        gs = gridspec.GridSpec(1, 2)
+        gsl = gridspec.GridSpecFromSubplotSpec(2, 2, gs[0])
+        gsr = gridspec.GridSpecFromSubplotSpec(1, 2, gs[1])
+        for gs in gsl:
+            fig.add_subplot(gs)
+        # need to trigger a draw to get warning
+        fig.draw_without_rendering()
+
+
+@image_comparison(['constrained_layout8.png'], style='mpl20')
+def test_constrained_layout8():
+    """Test for gridspecs that are not completely full"""
+
+    fig = plt.figure(figsize=(10, 5), layout="constrained")
+    gs = gridspec.GridSpec(3, 5, figure=fig)
+    axs = []
+    for j in [0, 1]:
+        if j == 0:
+            ilist = [1]
+        else:
+            ilist = [0, 4]
+        for i in ilist:
+            ax = fig.add_subplot(gs[j, i])
+            axs += [ax]
+            example_pcolor(ax, fontsize=9)
+            if i > 0:
+                ax.set_ylabel('')
+            if j < 1:
+                ax.set_xlabel('')
+            ax.set_title('')
+    ax = fig.add_subplot(gs[2, :])
+    axs += [ax]
+    pcm = example_pcolor(ax, fontsize=9)
+
+    fig.colorbar(pcm, ax=axs, pad=0.01, shrink=0.6)
+
+
+@image_comparison(['constrained_layout9.png'], style='mpl20')
+def test_constrained_layout9():
+    """Test for handling suptitle and for sharex and sharey"""
+
+    fig, axs = plt.subplots(2, 2, layout="constrained",
+                            sharex=False, sharey=False)
+    for ax in axs.flat:
+        pcm = example_pcolor(ax, fontsize=24)
+        ax.set_xlabel('')
+        ax.set_ylabel('')
+    ax.set_aspect(2.)
+    fig.colorbar(pcm, ax=axs, pad=0.01, shrink=0.6)
+    fig.suptitle('Test Suptitle', fontsize=28)
+
+
+@image_comparison(['constrained_layout10.png'], style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.032)
+def test_constrained_layout10():
+    """Test for handling legend outside axis"""
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        ax.plot(np.arange(12), label='This is a label')
+    ax.legend(loc='center left', bbox_to_anchor=(0.8, 0.5))
+
+
+@image_comparison(['constrained_layout11.png'], style='mpl20')
+def test_constrained_layout11():
+    """Test for multiple nested gridspecs"""
+
+    fig = plt.figure(layout="constrained", figsize=(13, 3))
+    gs0 = gridspec.GridSpec(1, 2, figure=fig)
+    gsl = gridspec.GridSpecFromSubplotSpec(1, 2, gs0[0])
+    gsl0 = gridspec.GridSpecFromSubplotSpec(2, 2, gsl[1])
+    ax = fig.add_subplot(gs0[1])
+    example_plot(ax, fontsize=9)
+    axs = []
+    for gs in gsl0:
+        ax = fig.add_subplot(gs)
+        axs += [ax]
+        pcm = example_pcolor(ax, fontsize=9)
+    fig.colorbar(pcm, ax=axs, shrink=0.6, aspect=70.)
+    ax = fig.add_subplot(gsl[0])
+    example_plot(ax, fontsize=9)
+
+
+@image_comparison(['constrained_layout11rat.png'], style='mpl20')
+def test_constrained_layout11rat():
+    """Test for multiple nested gridspecs with width_ratios"""
+
+    fig = plt.figure(layout="constrained", figsize=(10, 3))
+    gs0 = gridspec.GridSpec(1, 2, figure=fig, width_ratios=[6, 1])
+    gsl = gridspec.GridSpecFromSubplotSpec(1, 2, gs0[0])
+    gsl0 = gridspec.GridSpecFromSubplotSpec(2, 2, gsl[1], height_ratios=[2, 1])
+    ax = fig.add_subplot(gs0[1])
+    example_plot(ax, fontsize=9)
+    axs = []
+    for gs in gsl0:
+        ax = fig.add_subplot(gs)
+        axs += [ax]
+        pcm = example_pcolor(ax, fontsize=9)
+    fig.colorbar(pcm, ax=axs, shrink=0.6, aspect=70.)
+    ax = fig.add_subplot(gsl[0])
+    example_plot(ax, fontsize=9)
+
+
+@image_comparison(['constrained_layout12.png'], style='mpl20')
+def test_constrained_layout12():
+    """Test that very unbalanced labeling still works."""
+    fig = plt.figure(layout="constrained", figsize=(6, 8))
+
+    gs0 = gridspec.GridSpec(6, 2, figure=fig)
+
+    ax1 = fig.add_subplot(gs0[:3, 1])
+    ax2 = fig.add_subplot(gs0[3:, 1])
+
+    example_plot(ax1, fontsize=18)
+    example_plot(ax2, fontsize=18)
+
+    ax = fig.add_subplot(gs0[0:2, 0])
+    example_plot(ax, nodec=True)
+    ax = fig.add_subplot(gs0[2:4, 0])
+    example_plot(ax, nodec=True)
+    ax = fig.add_subplot(gs0[4:, 0])
+    example_plot(ax, nodec=True)
+    ax.set_xlabel('x-label')
+
+
+@image_comparison(['constrained_layout13.png'], style='mpl20')
+def test_constrained_layout13():
+    """Test that padding works."""
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        pcm = example_pcolor(ax, fontsize=12)
+        fig.colorbar(pcm, ax=ax, shrink=0.6, aspect=20., pad=0.02)
+    with pytest.raises(TypeError):
+        fig.get_layout_engine().set(wpad=1, hpad=2)
+    fig.get_layout_engine().set(w_pad=24./72., h_pad=24./72.)
+
+
+@image_comparison(['constrained_layout14.png'], style='mpl20')
+def test_constrained_layout14():
+    """Test that padding works."""
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    for ax in axs.flat:
+        pcm = example_pcolor(ax, fontsize=12)
+        fig.colorbar(pcm, ax=ax, shrink=0.6, aspect=20., pad=0.02)
+    fig.get_layout_engine().set(
+            w_pad=3./72., h_pad=3./72.,
+            hspace=0.2, wspace=0.2)
+
+
+@image_comparison(['constrained_layout15.png'], style='mpl20')
+def test_constrained_layout15():
+    """Test that rcparams work."""
+    mpl.rcParams['figure.constrained_layout.use'] = True
+    fig, axs = plt.subplots(2, 2)
+    for ax in axs.flat:
+        example_plot(ax, fontsize=12)
+
+
+@image_comparison(['constrained_layout16.png'], style='mpl20')
+def test_constrained_layout16():
+    """Test ax.set_position."""
+    fig, ax = plt.subplots(layout="constrained")
+    example_plot(ax, fontsize=12)
+    ax2 = fig.add_axes([0.2, 0.2, 0.4, 0.4])
+
+
+@image_comparison(['constrained_layout17.png'], style='mpl20')
+def test_constrained_layout17():
+    """Test uneven gridspecs"""
+    fig = plt.figure(layout="constrained")
+    gs = gridspec.GridSpec(3, 3, figure=fig)
+
+    ax1 = fig.add_subplot(gs[0, 0])
+    ax2 = fig.add_subplot(gs[0, 1:])
+    ax3 = fig.add_subplot(gs[1:, 0:2])
+    ax4 = fig.add_subplot(gs[1:, -1])
+
+    example_plot(ax1)
+    example_plot(ax2)
+    example_plot(ax3)
+    example_plot(ax4)
+
+
+def test_constrained_layout18():
+    """Test twinx"""
+    fig, ax = plt.subplots(layout="constrained")
+    ax2 = ax.twinx()
+    example_plot(ax)
+    example_plot(ax2, fontsize=24)
+    fig.draw_without_rendering()
+    assert all(ax.get_position().extents == ax2.get_position().extents)
+
+
+def test_constrained_layout19():
+    """Test twiny"""
+    fig, ax = plt.subplots(layout="constrained")
+    ax2 = ax.twiny()
+    example_plot(ax)
+    example_plot(ax2, fontsize=24)
+    ax2.set_title('')
+    ax.set_title('')
+    fig.draw_without_rendering()
+    assert all(ax.get_position().extents == ax2.get_position().extents)
+
+
+def test_constrained_layout20():
+    """Smoke test cl does not mess up added Axes"""
+    gx = np.linspace(-5, 5, 4)
+    img = np.hypot(gx, gx[:, None])
+
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1])
+    mesh = ax.pcolormesh(gx, gx, img[:-1, :-1])
+    fig.colorbar(mesh)
+
+
+def test_constrained_layout21():
+    """#11035: repeated calls to suptitle should not alter the layout"""
+    fig, ax = plt.subplots(layout="constrained")
+
+    fig.suptitle("Suptitle0")
+    fig.draw_without_rendering()
+    extents0 = np.copy(ax.get_position().extents)
+
+    fig.suptitle("Suptitle1")
+    fig.draw_without_rendering()
+    extents1 = np.copy(ax.get_position().extents)
+
+    np.testing.assert_allclose(extents0, extents1)
+
+
+def test_constrained_layout22():
+    """#11035: suptitle should not be include in CL if manually positioned"""
+    fig, ax = plt.subplots(layout="constrained")
+
+    fig.draw_without_rendering()
+    extents0 = np.copy(ax.get_position().extents)
+
+    fig.suptitle("Suptitle", y=0.5)
+    fig.draw_without_rendering()
+    extents1 = np.copy(ax.get_position().extents)
+
+    np.testing.assert_allclose(extents0, extents1)
+
+
+def test_constrained_layout23():
+    """
+    Comment in #11035: suptitle used to cause an exception when
+    reusing a figure w/ CL with ``clear=True``.
+    """
+
+    for i in range(2):
+        fig = plt.figure(layout="constrained", clear=True, num="123")
+        gs = fig.add_gridspec(1, 2)
+        sub = gs[0].subgridspec(2, 2)
+        fig.suptitle(f"Suptitle{i}")
+
+
+@image_comparison(['test_colorbar_location.png'],
+                  remove_text=True, style='mpl20')
+def test_colorbar_location():
+    """
+    Test that colorbar handling is as expected for various complicated
+    cases...
+    """
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    fig, axs = plt.subplots(4, 5, layout="constrained")
+    for ax in axs.flat:
+        pcm = example_pcolor(ax)
+        ax.set_xlabel('')
+        ax.set_ylabel('')
+    fig.colorbar(pcm, ax=axs[:, 1], shrink=0.4)
+    fig.colorbar(pcm, ax=axs[-1, :2], shrink=0.5, location='bottom')
+    fig.colorbar(pcm, ax=axs[0, 2:], shrink=0.5, location='bottom', pad=0.05)
+    fig.colorbar(pcm, ax=axs[-2, 3:], shrink=0.5, location='top')
+    fig.colorbar(pcm, ax=axs[0, 0], shrink=0.5, location='left')
+    fig.colorbar(pcm, ax=axs[1:3, 2], shrink=0.5, location='right')
+
+
+def test_hidden_axes():
+    # test that if we make an Axes not visible that constrained_layout
+    # still works.  Note the axes still takes space in the layout
+    # (as does a gridspec slot that is empty)
+    fig, axs = plt.subplots(2, 2, layout="constrained")
+    axs[0, 1].set_visible(False)
+    fig.draw_without_rendering()
+    extents1 = np.copy(axs[0, 0].get_position().extents)
+
+    np.testing.assert_allclose(
+        extents1, [0.046918, 0.541204, 0.477409, 0.980555], rtol=1e-5)
+
+
+def test_colorbar_align():
+    for location in ['right', 'left', 'top', 'bottom']:
+        fig, axs = plt.subplots(2, 2, layout="constrained")
+        cbs = []
+        for nn, ax in enumerate(axs.flat):
+            ax.tick_params(direction='in')
+            pc = example_pcolor(ax)
+            cb = fig.colorbar(pc, ax=ax, location=location, shrink=0.6,
+                              pad=0.04)
+            cbs += [cb]
+            cb.ax.tick_params(direction='in')
+            if nn != 1:
+                cb.ax.xaxis.set_ticks([])
+                cb.ax.yaxis.set_ticks([])
+                ax.set_xticklabels([])
+                ax.set_yticklabels([])
+        fig.get_layout_engine().set(w_pad=4 / 72, h_pad=4 / 72,
+                                    hspace=0.1, wspace=0.1)
+
+        fig.draw_without_rendering()
+        if location in ['left', 'right']:
+            np.testing.assert_allclose(cbs[0].ax.get_position().x0,
+                                       cbs[2].ax.get_position().x0)
+            np.testing.assert_allclose(cbs[1].ax.get_position().x0,
+                                       cbs[3].ax.get_position().x0)
+        else:
+            np.testing.assert_allclose(cbs[0].ax.get_position().y0,
+                                       cbs[1].ax.get_position().y0)
+            np.testing.assert_allclose(cbs[2].ax.get_position().y0,
+                                       cbs[3].ax.get_position().y0)
+
+
+@image_comparison(['test_colorbars_no_overlapV.png'], style='mpl20')
+def test_colorbars_no_overlapV():
+    fig = plt.figure(figsize=(2, 4), layout="constrained")
+    axs = fig.subplots(2, 1, sharex=True, sharey=True)
+    for ax in axs:
+        ax.yaxis.set_major_formatter(ticker.NullFormatter())
+        ax.tick_params(axis='both', direction='in')
+        im = ax.imshow([[1, 2], [3, 4]])
+        fig.colorbar(im, ax=ax, orientation="vertical")
+    fig.suptitle("foo")
+
+
+@image_comparison(['test_colorbars_no_overlapH.png'], style='mpl20')
+def test_colorbars_no_overlapH():
+    fig = plt.figure(figsize=(4, 2), layout="constrained")
+    fig.suptitle("foo")
+    axs = fig.subplots(1, 2, sharex=True, sharey=True)
+    for ax in axs:
+        ax.yaxis.set_major_formatter(ticker.NullFormatter())
+        ax.tick_params(axis='both', direction='in')
+        im = ax.imshow([[1, 2], [3, 4]])
+        fig.colorbar(im, ax=ax, orientation="horizontal")
+
+
+def test_manually_set_position():
+    fig, axs = plt.subplots(1, 2, layout="constrained")
+    axs[0].set_position([0.2, 0.2, 0.3, 0.3])
+    fig.draw_without_rendering()
+    pp = axs[0].get_position()
+    np.testing.assert_allclose(pp, [[0.2, 0.2], [0.5, 0.5]])
+
+    fig, axs = plt.subplots(1, 2, layout="constrained")
+    axs[0].set_position([0.2, 0.2, 0.3, 0.3])
+    pc = axs[0].pcolormesh(np.random.rand(20, 20))
+    fig.colorbar(pc, ax=axs[0])
+    fig.draw_without_rendering()
+    pp = axs[0].get_position()
+    np.testing.assert_allclose(pp, [[0.2, 0.2], [0.44, 0.5]])
+
+
+@image_comparison(['test_bboxtight.png'],
+                  remove_text=True, style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_bboxtight():
+    fig, ax = plt.subplots(layout="constrained")
+    ax.set_aspect(1.)
+
+
+@image_comparison(['test_bbox.png'],
+                  remove_text=True, style='mpl20',
+                  savefig_kwarg={'bbox_inches':
+                                 mtransforms.Bbox([[0.5, 0], [2.5, 2]])})
+def test_bbox():
+    fig, ax = plt.subplots(layout="constrained")
+    ax.set_aspect(1.)
+
+
+def test_align_labels():
+    """
+    Tests for a bug in which constrained layout and align_ylabels on
+    three unevenly sized subplots, one of whose y tick labels include
+    negative numbers, drives the non-negative subplots' y labels off
+    the edge of the plot
+    """
+    fig, (ax3, ax1, ax2) = plt.subplots(3, 1, layout="constrained",
+                                        figsize=(6.4, 8),
+                                        gridspec_kw={"height_ratios": (1, 1,
+                                                                       0.7)})
+
+    ax1.set_ylim(0, 1)
+    ax1.set_ylabel("Label")
+
+    ax2.set_ylim(-1.5, 1.5)
+    ax2.set_ylabel("Label")
+
+    ax3.set_ylim(0, 1)
+    ax3.set_ylabel("Label")
+
+    fig.align_ylabels(axs=(ax3, ax1, ax2))
+
+    fig.draw_without_rendering()
+    after_align = [ax1.yaxis.label.get_window_extent(),
+                   ax2.yaxis.label.get_window_extent(),
+                   ax3.yaxis.label.get_window_extent()]
+    # ensure labels are approximately aligned
+    np.testing.assert_allclose([after_align[0].x0, after_align[2].x0],
+                               after_align[1].x0, rtol=0, atol=1e-05)
+    # ensure labels do not go off the edge
+    assert after_align[0].x0 >= 1
+
+
+def test_suplabels():
+    fig, ax = plt.subplots(layout="constrained")
+    fig.draw_without_rendering()
+    pos0 = ax.get_tightbbox(fig.canvas.get_renderer())
+    fig.supxlabel('Boo')
+    fig.supylabel('Booy')
+    fig.draw_without_rendering()
+    pos = ax.get_tightbbox(fig.canvas.get_renderer())
+    assert pos.y0 > pos0.y0 + 10.0
+    assert pos.x0 > pos0.x0 + 10.0
+
+    fig, ax = plt.subplots(layout="constrained")
+    fig.draw_without_rendering()
+    pos0 = ax.get_tightbbox(fig.canvas.get_renderer())
+    # check that specifying x (y) doesn't ruin the layout
+    fig.supxlabel('Boo', x=0.5)
+    fig.supylabel('Boo', y=0.5)
+    fig.draw_without_rendering()
+    pos = ax.get_tightbbox(fig.canvas.get_renderer())
+    assert pos.y0 > pos0.y0 + 10.0
+    assert pos.x0 > pos0.x0 + 10.0
+
+
+def test_gridspec_addressing():
+    fig = plt.figure()
+    gs = fig.add_gridspec(3, 3)
+    sp = fig.add_subplot(gs[0:, 1:])
+    fig.draw_without_rendering()
+
+
+def test_discouraged_api():
+    fig, ax = plt.subplots(constrained_layout=True)
+    fig.draw_without_rendering()
+
+    with pytest.warns(PendingDeprecationWarning,
+                      match="will be deprecated"):
+        fig, ax = plt.subplots()
+        fig.set_constrained_layout(True)
+        fig.draw_without_rendering()
+
+    with pytest.warns(PendingDeprecationWarning,
+                      match="will be deprecated"):
+        fig, ax = plt.subplots()
+        fig.set_constrained_layout({'w_pad': 0.02, 'h_pad': 0.02})
+        fig.draw_without_rendering()
+
+
+def test_kwargs():
+    fig, ax = plt.subplots(constrained_layout={'h_pad': 0.02})
+    fig.draw_without_rendering()
+
+
+def test_rect():
+    fig, ax = plt.subplots(layout='constrained')
+    fig.get_layout_engine().set(rect=[0, 0, 0.5, 0.5])
+    fig.draw_without_rendering()
+    ppos = ax.get_position()
+    assert ppos.x1 < 0.5
+    assert ppos.y1 < 0.5
+
+    fig, ax = plt.subplots(layout='constrained')
+    fig.get_layout_engine().set(rect=[0.2, 0.2, 0.3, 0.3])
+    fig.draw_without_rendering()
+    ppos = ax.get_position()
+    assert ppos.x1 < 0.5
+    assert ppos.y1 < 0.5
+    assert ppos.x0 > 0.2
+    assert ppos.y0 > 0.2
+
+
+def test_compressed1():
+    fig, axs = plt.subplots(3, 2, layout='compressed',
+                            sharex=True, sharey=True)
+    for ax in axs.flat:
+        pc = ax.imshow(np.random.randn(20, 20))
+
+    fig.colorbar(pc, ax=axs)
+    fig.draw_without_rendering()
+
+    pos = axs[0, 0].get_position()
+    np.testing.assert_allclose(pos.x0, 0.2381, atol=1e-2)
+    pos = axs[0, 1].get_position()
+    np.testing.assert_allclose(pos.x1, 0.7024, atol=1e-3)
+
+    # wider than tall
+    fig, axs = plt.subplots(2, 3, layout='compressed',
+                            sharex=True, sharey=True, figsize=(5, 4))
+    for ax in axs.flat:
+        pc = ax.imshow(np.random.randn(20, 20))
+
+    fig.colorbar(pc, ax=axs)
+    fig.draw_without_rendering()
+
+    pos = axs[0, 0].get_position()
+    np.testing.assert_allclose(pos.x0, 0.05653, atol=1e-3)
+    np.testing.assert_allclose(pos.y1, 0.8603, atol=1e-2)
+    pos = axs[1, 2].get_position()
+    np.testing.assert_allclose(pos.x1, 0.8728, atol=1e-3)
+    np.testing.assert_allclose(pos.y0, 0.1808, atol=1e-2)
+
+
+def test_compressed_suptitle():
+    fig, (ax0, ax1) = plt.subplots(
+        nrows=2, figsize=(4, 10), layout="compressed",
+        gridspec_kw={"height_ratios": (1 / 4, 3 / 4), "hspace": 0})
+
+    ax0.axis("equal")
+    ax0.set_box_aspect(1/3)
+
+    ax1.axis("equal")
+    ax1.set_box_aspect(1)
+
+    title = fig.suptitle("Title")
+    fig.draw_without_rendering()
+    assert title.get_position()[1] == pytest.approx(0.7491, abs=1e-3)
+
+    title = fig.suptitle("Title", y=0.98)
+    fig.draw_without_rendering()
+    assert title.get_position()[1] == 0.98
+
+    title = fig.suptitle("Title", in_layout=False)
+    fig.draw_without_rendering()
+    assert title.get_position()[1] == 0.98
+
+
+@pytest.mark.parametrize('arg, state', [
+    (True, True),
+    (False, False),
+    ({}, True),
+    ({'rect': None}, True)
+])
+def test_set_constrained_layout(arg, state):
+    fig, ax = plt.subplots(constrained_layout=arg)
+    assert fig.get_constrained_layout() is state
+
+
+def test_constrained_toggle():
+    fig, ax = plt.subplots()
+    with pytest.warns(PendingDeprecationWarning):
+        fig.set_constrained_layout(True)
+        assert fig.get_constrained_layout()
+        fig.set_constrained_layout(False)
+        assert not fig.get_constrained_layout()
+        fig.set_constrained_layout(True)
+        assert fig.get_constrained_layout()
+
+
+def test_layout_leak():
+    # Make sure there aren't any cyclic references when using LayoutGrid
+    # GH #25853
+    fig = plt.figure(constrained_layout=True, figsize=(10, 10))
+    fig.add_subplot()
+    fig.draw_without_rendering()
+    plt.close("all")
+    del fig
+    gc.collect()
+    assert not any(isinstance(obj, mpl._layoutgrid.LayoutGrid)
+                   for obj in gc.get_objects())
+
+
+def test_submerged_subfig():
+    """
+    Test that the submerged margin logic does not get called multiple times
+    on same axes if it is already in a subfigure
+    """
+    fig = plt.figure(figsize=(4, 5), layout='constrained')
+    figures = fig.subfigures(3, 1)
+    axs = []
+    for f in figures.flatten():
+        gs = f.add_gridspec(2, 2)
+        for i in range(2):
+            axs += [f.add_subplot(gs[i, 0])]
+            axs[-1].plot()
+        f.add_subplot(gs[:, 1]).plot()
+    fig.draw_without_rendering()
+    for ax in axs[1:]:
+        assert np.allclose(ax.get_position().bounds[-1],
+                           axs[0].get_position().bounds[-1], atol=1e-6)
diff --git a/lib/matplotlib/tests/test_container.py b/lib/matplotlib/tests/test_container.py
new file mode 100644
index 000000000000..1e4577c518ae
--- /dev/null
+++ b/lib/matplotlib/tests/test_container.py
@@ -0,0 +1,37 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def test_stem_remove():
+    ax = plt.gca()
+    st = ax.stem([1, 2], [1, 2])
+    st.remove()
+
+
+def test_errorbar_remove():
+
+    # Regression test for a bug that caused remove to fail when using
+    # fmt='none'
+
+    ax = plt.gca()
+
+    eb = ax.errorbar([1], [1])
+    eb.remove()
+
+    eb = ax.errorbar([1], [1], xerr=1)
+    eb.remove()
+
+    eb = ax.errorbar([1], [1], yerr=2)
+    eb.remove()
+
+    eb = ax.errorbar([1], [1], xerr=[2], yerr=2)
+    eb.remove()
+
+    eb = ax.errorbar([1], [1], fmt='none')
+    eb.remove()
+
+
+def test_nonstring_label():
+    # Test for #26824
+    plt.bar(np.arange(10), np.random.rand(10), label=1)
+    plt.legend()
diff --git a/lib/matplotlib/tests/test_contour.py b/lib/matplotlib/tests/test_contour.py
index b6f83db767ed..c001fc0a9191 100644
--- a/lib/matplotlib/tests/test_contour.py
+++ b/lib/matplotlib/tests/test_contour.py
@@ -1,31 +1,29 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import datetime
+import platform
+import re
+from unittest import mock
 
+import contourpy
 import numpy as np
-from matplotlib import mlab
-from matplotlib.testing.decorators import cleanup, image_comparison
-from matplotlib import pyplot as plt
-
-import re
+from numpy.testing import assert_array_almost_equal, assert_array_almost_equal_nulp
+import matplotlib as mpl
+from matplotlib import pyplot as plt, rc_context, ticker
+from matplotlib.colors import LogNorm, same_color
+import matplotlib.patches as mpatches
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+import pytest
 
 
-@cleanup
 def test_contour_shape_1d_valid():
 
     x = np.arange(10)
     y = np.arange(9)
     z = np.random.random((9, 10))
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.contour(x, y, z)
 
 
-@cleanup
 def test_contour_shape_2d_valid():
 
     x = np.arange(10)
@@ -33,167 +31,205 @@ def test_contour_shape_2d_valid():
     xg, yg = np.meshgrid(x, y)
     z = np.random.random((9, 10))
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.contour(xg, yg, z)
 
 
-@cleanup
-def test_contour_shape_mismatch_1():
+@pytest.mark.parametrize("args, message", [
+    ((np.arange(9), np.arange(9), np.empty((9, 10))),
+     'Length of x (9) must match number of columns in z (10)'),
+    ((np.arange(10), np.arange(10), np.empty((9, 10))),
+     'Length of y (10) must match number of rows in z (9)'),
+    ((np.empty((10, 10)), np.arange(10), np.empty((9, 10))),
+     'Number of dimensions of x (2) and y (1) do not match'),
+    ((np.arange(10), np.empty((10, 10)), np.empty((9, 10))),
+     'Number of dimensions of x (1) and y (2) do not match'),
+    ((np.empty((9, 9)), np.empty((9, 10)), np.empty((9, 10))),
+     'Shapes of x (9, 9) and z (9, 10) do not match'),
+    ((np.empty((9, 10)), np.empty((9, 9)), np.empty((9, 10))),
+     'Shapes of y (9, 9) and z (9, 10) do not match'),
+    ((np.empty((3, 3, 3)), np.empty((3, 3, 3)), np.empty((9, 10))),
+     'Inputs x and y must be 1D or 2D, not 3D'),
+    ((np.empty((3, 3, 3)), np.empty((3, 3, 3)), np.empty((3, 3, 3))),
+     'Input z must be 2D, not 3D'),
+    (([[0]],),  # github issue 8197
+     'Input z must be at least a (2, 2) shaped array, but has shape (1, 1)'),
+    (([0], [0], [[0]]),
+     'Input z must be at least a (2, 2) shaped array, but has shape (1, 1)'),
+])
+def test_contour_shape_error(args, message):
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError, match=re.escape(message)):
+        ax.contour(*args)
+
+
+def test_contour_no_valid_levels():
+    fig, ax = plt.subplots()
+    # no warning for empty levels.
+    ax.contour(np.random.rand(9, 9), levels=[])
+    # no warning if levels is given and is not within the range of z.
+    cs = ax.contour(np.arange(81).reshape((9, 9)), levels=[100])
+    # ... and if fmt is given.
+    ax.clabel(cs, fmt={100: '%1.2f'})
+    # no warning if z is uniform.
+    ax.contour(np.ones((9, 9)))
+
+
+def test_contour_Nlevels():
+    # A scalar levels arg or kwarg should trigger auto level generation.
+    # https://github.com/matplotlib/matplotlib/issues/11913
+    z = np.arange(12).reshape((3, 4))
+    fig, ax = plt.subplots()
+    cs1 = ax.contour(z, 5)
+    assert len(cs1.levels) > 1
+    cs2 = ax.contour(z, levels=5)
+    assert (cs1.levels == cs2.levels).all()
+
+
+@check_figures_equal()
+def test_contour_set_paths(fig_test, fig_ref):
+    cs_test = fig_test.subplots().contour([[0, 1], [1, 2]])
+    cs_ref = fig_ref.subplots().contour([[1, 0], [2, 1]])
+
+    cs_test.set_paths(cs_ref.get_paths())
+
+
+@image_comparison(['contour_manual_labels'], remove_text=True, style='mpl20', tol=0.26)
+def test_contour_manual_labels():
+    x, y = np.meshgrid(np.arange(0, 10), np.arange(0, 10))
+    z = np.max(np.dstack([abs(x), abs(y)]), 2)
 
-    x = np.arange(9)
-    y = np.arange(9)
-    z = np.random.random((9, 10))
+    plt.figure(figsize=(6, 2), dpi=200)
+    cs = plt.contour(x, y, z)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    pts = np.array([(1.0, 3.0), (1.0, 4.4), (1.0, 6.0)])
+    plt.clabel(cs, manual=pts)
+    pts = np.array([(2.0, 3.0), (2.0, 4.4), (2.0, 6.0)])
+    plt.clabel(cs, manual=pts, fontsize='small', colors=('r', 'g'))
 
-    try:
-        ax.contour(x, y, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Length of x must be number of columns in z.'
 
+def test_contour_manual_moveto():
+    x = np.linspace(-10, 10)
+    y = np.linspace(-10, 10)
 
-@cleanup
-def test_contour_shape_mismatch_2():
+    X, Y = np.meshgrid(x, y)
 
-    x = np.arange(10)
-    y = np.arange(10)
-    z = np.random.random((9, 10))
+    Z = X**2 * 1 / Y**2 - 1
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    contours = plt.contour(X, Y, Z, levels=[0, 100])
 
-    try:
-        ax.contour(x, y, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Length of y must be number of rows in z.'
+    # This point lies on the `MOVETO` line for the 100 contour
+    # but is actually closest to the 0 contour
+    point = (1.3, 1)
+    clabels = plt.clabel(contours, manual=[point])
 
+    # Ensure that the 0 contour was chosen, not the 100 contour
+    assert clabels[0].get_text() == "0"
 
-@cleanup
-def test_contour_shape_mismatch_3():
 
-    x = np.arange(10)
-    y = np.arange(10)
-    xg, yg = np.meshgrid(x, y)
-    z = np.random.random((9, 10))
+@image_comparison(['contour_disconnected_segments'],
+                  remove_text=True, style='mpl20', extensions=['png'])
+def test_contour_label_with_disconnected_segments():
+    x, y = np.mgrid[-1:1:21j, -1:1:21j]
+    z = 1 / np.sqrt(0.01 + (x + 0.3) ** 2 + y ** 2)
+    z += 1 / np.sqrt(0.01 + (x - 0.3) ** 2 + y ** 2)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    plt.figure()
+    cs = plt.contour(x, y, z, levels=[7])
+    cs.clabel(manual=[(0.2, 0.1)])
 
-    try:
-        ax.contour(xg, y, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Number of dimensions of x and y should match.'
 
-    try:
-        ax.contour(x, yg, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Number of dimensions of x and y should match.'
+@image_comparison(['contour_manual_colors_and_levels.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.018)
+def test_given_colors_levels_and_extends():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
 
+    _, axs = plt.subplots(2, 4)
 
-@cleanup
-def test_contour_shape_mismatch_4():
+    data = np.arange(12).reshape(3, 4)
 
-    g = np.random.random((9, 10))
-    b = np.random.random((9, 9))
-    z = np.random.random((9, 10))
+    colors = ['red', 'yellow', 'pink', 'blue', 'black']
+    levels = [2, 4, 8, 10]
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-
-    try:
-        ax.contour(b, g, z)
-    except TypeError as exc:
-        print(exc.args[0])
-        assert re.match(
-            r'Shape of x does not match that of z: ' +
-            r'found \(9L?, 9L?\) instead of \(9L?, 10L?\)\.',
-            exc.args[0]) is not None
-
-    try:
-        ax.contour(g, b, z)
-    except TypeError as exc:
-        assert re.match(
-            r'Shape of y does not match that of z: ' +
-            r'found \(9L?, 9L?\) instead of \(9L?, 10L?\)\.',
-            exc.args[0]) is not None
-
-
-@cleanup
-def test_contour_shape_invalid_1():
-
-    x = np.random.random((3, 3, 3))
-    y = np.random.random((3, 3, 3))
-    z = np.random.random((9, 10))
+    for i, ax in enumerate(axs.flat):
+        filled = i % 2 == 0.
+        extend = ['neither', 'min', 'max', 'both'][i // 2]
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+        if filled:
+            # If filled, we have 3 colors with no extension,
+            # 4 colors with one extension, and 5 colors with both extensions
+            first_color = 1 if extend in ['max', 'neither'] else None
+            last_color = -1 if extend in ['min', 'neither'] else None
+            c = ax.contourf(data, colors=colors[first_color:last_color],
+                            levels=levels, extend=extend)
+        else:
+            # If not filled, we have 4 levels and 4 colors
+            c = ax.contour(data, colors=colors[:-1],
+                           levels=levels, extend=extend)
 
-    try:
-        ax.contour(x, y, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Inputs x and y must be 1D or 2D.'
+        plt.colorbar(c, ax=ax)
 
 
-@cleanup
-def test_contour_shape_invalid_2():
+@image_comparison(['contourf_hatch_colors'],
+                  remove_text=True, style='mpl20', extensions=['png'])
+def test_hatch_colors():
+    fig, ax = plt.subplots()
+    cf = ax.contourf([[0, 1], [1, 2]], hatches=['-', '/', '\\', '//'], cmap='gray')
+    cf.set_edgecolors(["blue", "grey", "yellow", "red"])
 
-    x = np.random.random((3, 3, 3))
-    y = np.random.random((3, 3, 3))
-    z = np.random.random((3, 3, 3))
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+@pytest.mark.parametrize('color, extend', [('darkred', 'neither'),
+                                           ('darkred', 'both'),
+                                           (('r', 0.5), 'neither'),
+                                           ((0.1, 0.2, 0.5, 0.3), 'neither')])
+def test_single_color_and_extend(color, extend):
+    z = [[0, 1], [1, 2]]
 
-    try:
-        ax.contour(x, y, z)
-    except TypeError as exc:
-        assert exc.args[0] == 'Input z must be a 2D array.'
+    _, ax = plt.subplots()
+    levels = [0.5, 0.75, 1, 1.25, 1.5]
+    cs = ax.contour(z, levels=levels, colors=color, extend=extend)
+    for c in cs.get_edgecolors():
+        assert same_color(c, color)
 
 
-@image_comparison(baseline_images=['contour_manual_labels'])
-def test_contour_manual_labels():
+@image_comparison(['contour_log_locator.svg'], style='mpl20', remove_text=False)
+def test_log_locator_levels():
 
-    x, y = np.meshgrid(np.arange(0, 10), np.arange(0, 10))
-    z = np.max(np.dstack([abs(x), abs(y)]), 2)
+    fig, ax = plt.subplots()
 
-    plt.figure(figsize=(6, 2))
-    cs = plt.contour(x, y, z)
-    pts = np.array([(1.5, 3.0), (1.5, 4.4), (1.5, 6.0)])
-    plt.clabel(cs, manual=pts)
+    N = 100
+    x = np.linspace(-3.0, 3.0, N)
+    y = np.linspace(-2.0, 2.0, N)
 
+    X, Y = np.meshgrid(x, y)
 
-@image_comparison(baseline_images=['contour_manual_colors_and_levels'],
-                  extensions=['png'], remove_text=True)
-def test_given_colors_levels_and_extends():
-    _, axes = plt.subplots(2, 4)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
+    data = Z1 + 50 * Z2
 
-    data = np.arange(12).reshape(3, 4)
+    c = ax.contourf(data, locator=ticker.LogLocator())
+    assert_array_almost_equal(c.levels, np.power(10.0, np.arange(-6, 3)))
+    cb = fig.colorbar(c, ax=ax)
+    assert_array_almost_equal(cb.ax.get_yticks(), c.levels)
 
-    colors = ['red', 'yellow', 'pink', 'blue', 'black']
-    levels = [2, 4, 8, 10]
 
-    for i, ax in enumerate(axes.flatten()):
-        plt.sca(ax)
+@pytest.mark.parametrize("n_levels", [2, 3, 4, 5, 6])
+def test_lognorm_levels(n_levels):
+    x, y = np.mgrid[1:10:0.1, 1:10:0.1]
+    data = np.abs(np.sin(x)*np.exp(y))
 
-        filled = i % 2 == 0.
-        extend = ['neither', 'min', 'max', 'both'][i // 2]
+    fig, ax = plt.subplots()
+    im = ax.contour(x, y, data, norm=LogNorm(), levels=n_levels)
+    fig.colorbar(im, ax=ax)
 
-        if filled:
-            last_color = -1 if extend in ['min', 'max'] else None
-            plt.contourf(data, colors=colors[:last_color], levels=levels,
-                         extend=extend)
-        else:
-            last_level = -1 if extend == 'both' else None
-            plt.contour(data, colors=colors, levels=levels[:last_level],
-                        extend=extend)
-
-        plt.colorbar()
+    levels = im.levels
+    visible_levels = levels[(levels <= data.max()) & (levels >= data.min())]
+    # levels parameter promises "no more than n+1 "nice" contour levels "
+    assert len(visible_levels) <= n_levels + 1
 
 
-@image_comparison(baseline_images=['contour_datetime_axis'],
-                  extensions=['png'], remove_text=False)
+@image_comparison(['contour_datetime_axis.png'], style='mpl20')
 def test_contour_datetime_axis():
     fig = plt.figure()
     fig.subplots_adjust(hspace=0.4, top=0.98, bottom=.15)
@@ -218,8 +254,8 @@ def test_contour_datetime_axis():
             label.set_rotation(30)
 
 
-@image_comparison(baseline_images=['contour_test_label_transforms'],
-                  extensions=['png'], remove_text=True)
+@image_comparison(['contour_test_label_transforms.png'],
+                  remove_text=True, style='mpl20', tol=1.1)
 def test_labels():
     # Adapted from pylab_examples example code: contour_demo.py
     # see issues #2475, #2843, and #2818 for explanation
@@ -227,8 +263,10 @@ def test_labels():
     x = np.arange(-3.0, 3.0, delta)
     y = np.arange(-2.0, 2.0, delta)
     X, Y = np.meshgrid(x, y)
-    Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-    Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
+    Z1 = np.exp(-(X**2 + Y**2) / 2) / (2 * np.pi)
+    Z2 = (np.exp(-(((X - 1) / 1.5)**2 + ((Y - 1) / 0.5)**2) / 2) /
+          (2 * np.pi * 0.5 * 1.5))
+
     # difference of Gaussians
     Z = 10.0 * (Z2 - Z1)
 
@@ -246,6 +284,584 @@ def test_labels():
         CS.add_label_near(x, y, inline=True, transform=False)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_label_contour_start():
+    # Set up data and figure/axes that result in automatic labelling adding the
+    # label to the start of a contour
+
+    _, ax = plt.subplots(dpi=100)
+    lats = lons = np.linspace(-np.pi / 2, np.pi / 2, 50)
+    lons, lats = np.meshgrid(lons, lats)
+    wave = 0.75 * (np.sin(2 * lats) ** 8) * np.cos(4 * lons)
+    mean = 0.5 * np.cos(2 * lats) * ((np.sin(2 * lats)) ** 2 + 2)
+    data = wave + mean
+
+    cs = ax.contour(lons, lats, data)
+
+    with mock.patch.object(
+            cs, '_split_path_and_get_label_rotation',
+            wraps=cs._split_path_and_get_label_rotation) as mocked_splitter:
+        # Smoke test that we can add the labels
+        cs.clabel(fontsize=9)
+
+    # Verify at least one label was added to the start of a contour.  I.e. the
+    # splitting method was called with idx=0 at least once.
+    idxs = [cargs[0][1] for cargs in mocked_splitter.call_args_list]
+    assert 0 in idxs
+
+
+@image_comparison(['contour_corner_mask_False.png', 'contour_corner_mask_True.png'],
+                  remove_text=True, tol=1.88)
+def test_corner_mask():
+    n = 60
+    mask_level = 0.95
+    noise_amp = 1.0
+    np.random.seed([1])
+    x, y = np.meshgrid(np.linspace(0, 2.0, n), np.linspace(0, 2.0, n))
+    z = np.cos(7*x)*np.sin(8*y) + noise_amp*np.random.rand(n, n)
+    mask = np.random.rand(n, n) >= mask_level
+    z = np.ma.array(z, mask=mask)
+
+    for corner_mask in [False, True]:
+        plt.figure()
+        plt.contourf(z, corner_mask=corner_mask)
+
+
+def test_contourf_decreasing_levels():
+    # github issue 5477.
+    z = [[0.1, 0.3], [0.5, 0.7]]
+    plt.figure()
+    with pytest.raises(ValueError):
+        plt.contourf(z, [1.0, 0.0])
+
+
+def test_contourf_symmetric_locator():
+    # github issue 7271
+    z = np.arange(12).reshape((3, 4))
+    locator = plt.MaxNLocator(nbins=4, symmetric=True)
+    cs = plt.contourf(z, locator=locator)
+    assert_array_almost_equal(cs.levels, np.linspace(-12, 12, 5))
+
+
+def test_circular_contour_warning():
+    # Check that almost circular contours don't throw a warning
+    x, y = np.meshgrid(np.linspace(-2, 2, 4), np.linspace(-2, 2, 4))
+    r = np.hypot(x, y)
+    plt.figure()
+    cs = plt.contour(x, y, r)
+    plt.clabel(cs)
+
+
+@pytest.mark.parametrize("use_clabeltext, contour_zorder, clabel_zorder",
+                         [(True, 123, 1234), (False, 123, 1234),
+                          (True, 123, None), (False, 123, None)])
+def test_clabel_zorder(use_clabeltext, contour_zorder, clabel_zorder):
+    x, y = np.meshgrid(np.arange(0, 10), np.arange(0, 10))
+    z = np.max(np.dstack([abs(x), abs(y)]), 2)
+
+    fig, (ax1, ax2) = plt.subplots(ncols=2)
+    cs = ax1.contour(x, y, z, zorder=contour_zorder)
+    cs_filled = ax2.contourf(x, y, z, zorder=contour_zorder)
+    clabels1 = cs.clabel(zorder=clabel_zorder, use_clabeltext=use_clabeltext)
+    clabels2 = cs_filled.clabel(zorder=clabel_zorder,
+                                use_clabeltext=use_clabeltext)
+
+    if clabel_zorder is None:
+        expected_clabel_zorder = 2+contour_zorder
+    else:
+        expected_clabel_zorder = clabel_zorder
+
+    for clabel in clabels1:
+        assert clabel.get_zorder() == expected_clabel_zorder
+    for clabel in clabels2:
+        assert clabel.get_zorder() == expected_clabel_zorder
+
+
+def test_clabel_with_large_spacing():
+    # When the inline spacing is large relative to the contour, it may cause the
+    # entire contour to be removed. In current implementation, one line segment is
+    # retained between the identified points.
+    # This behavior may be worth reconsidering, but check to be sure we do not produce
+    # an invalid path, which results in an error at clabel call time.
+    # see gh-27045 for more information
+    x = y = np.arange(-3.0, 3.01, 0.05)
+    X, Y = np.meshgrid(x, y)
+    Z = np.exp(-X**2 - Y**2)
+
+    fig, ax = plt.subplots()
+    contourset = ax.contour(X, Y, Z, levels=[0.01, 0.2, .5, .8])
+    ax.clabel(contourset, inline_spacing=100)
+
+
+# tol because ticks happen to fall on pixel boundaries so small
+# floating point changes in tick location flip which pixel gets
+# the tick.
+@image_comparison(['contour_log_extension.png'],
+                  remove_text=True, style='mpl20',
+                  tol=1.444)
+def test_contourf_log_extension():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    # Test that contourf with lognorm is extended correctly
+    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(10, 5))
+    fig.subplots_adjust(left=0.05, right=0.95)
+
+    # make data set with large range e.g. between 1e-8 and 1e10
+    data_exp = np.linspace(-7.5, 9.5, 1200)
+    data = np.power(10, data_exp).reshape(30, 40)
+    # make manual levels e.g. between 1e-4 and 1e-6
+    levels_exp = np.arange(-4., 7.)
+    levels = np.power(10., levels_exp)
+
+    # original data
+    # FIXME: Force tick locations for now for backcompat with old test
+    # (log-colorbar extension is not really optimal anyways).
+    c1 = ax1.contourf(data,
+                      norm=LogNorm(vmin=data.min(), vmax=data.max()),
+                      locator=mpl.ticker.FixedLocator(10.**np.arange(-8, 12, 2)))
+    # just show data in levels
+    c2 = ax2.contourf(data, levels=levels,
+                      norm=LogNorm(vmin=levels.min(), vmax=levels.max()),
+                      extend='neither')
+    # extend data from levels
+    c3 = ax3.contourf(data, levels=levels,
+                      norm=LogNorm(vmin=levels.min(), vmax=levels.max()),
+                      extend='both')
+    cb = plt.colorbar(c1, ax=ax1)
+    assert cb.ax.get_ylim() == (1e-8, 1e10)
+    cb = plt.colorbar(c2, ax=ax2)
+    assert_array_almost_equal_nulp(cb.ax.get_ylim(), np.array((1e-4, 1e6)))
+    cb = plt.colorbar(c3, ax=ax3)
+
+
+@image_comparison(['contour_addlines.png'], remove_text=True, style='mpl20',
+                  tol=0.03 if platform.machine() == 'x86_64' else 0.15)
+# tolerance is because image changed minutely when tick finding on
+# colorbars was cleaned up...
+def test_contour_addlines():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    fig, ax = plt.subplots()
+    np.random.seed(19680812)
+    X = np.random.rand(10, 10)*10000
+    pcm = ax.pcolormesh(X)
+    # add 1000 to make colors visible...
+    cont = ax.contour(X+1000)
+    cb = fig.colorbar(pcm)
+    cb.add_lines(cont)
+    assert_array_almost_equal(cb.ax.get_ylim(), [114.3091, 9972.30735], 3)
+
+
+@image_comparison(baseline_images=['contour_uneven'],
+                  extensions=['png'], remove_text=True, style='mpl20')
+def test_contour_uneven():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    z = np.arange(24).reshape(4, 6)
+    fig, axs = plt.subplots(1, 2)
+    ax = axs[0]
+    cs = ax.contourf(z, levels=[2, 4, 6, 10, 20])
+    fig.colorbar(cs, ax=ax, spacing='proportional')
+    ax = axs[1]
+    cs = ax.contourf(z, levels=[2, 4, 6, 10, 20])
+    fig.colorbar(cs, ax=ax, spacing='uniform')
+
+
+@pytest.mark.parametrize(
+    "rc_lines_linewidth, rc_contour_linewidth, call_linewidths, expected", [
+        (1.23, None, None, 1.23),
+        (1.23, 4.24, None, 4.24),
+        (1.23, 4.24, 5.02, 5.02)
+        ])
+def test_contour_linewidth(
+        rc_lines_linewidth, rc_contour_linewidth, call_linewidths, expected):
+
+    with rc_context(rc={"lines.linewidth": rc_lines_linewidth,
+                        "contour.linewidth": rc_contour_linewidth}):
+        fig, ax = plt.subplots()
+        X = np.arange(4*3).reshape(4, 3)
+        cs = ax.contour(X, linewidths=call_linewidths)
+        assert cs.get_linewidths()[0] == expected
+
+
+@pytest.mark.backend("pdf")
+def test_label_nonagg():
+    # This should not crash even if the canvas doesn't have a get_renderer().
+    plt.clabel(plt.contour([[1, 2], [3, 4]]))
+
+
+@image_comparison(baseline_images=['contour_closed_line_loop'],
+                  extensions=['png'], remove_text=True)
+def test_contour_closed_line_loop():
+    # github issue 19568.
+    z = [[0, 0, 0], [0, 2, 0], [0, 0, 0], [2, 1, 2]]
+
+    fig, ax = plt.subplots(figsize=(2, 2))
+    ax.contour(z, [0.5], linewidths=[20], alpha=0.7)
+    ax.set_xlim(-0.1, 2.1)
+    ax.set_ylim(-0.1, 3.1)
+
+
+def test_quadcontourset_reuse():
+    # If QuadContourSet returned from one contour(f) call is passed as first
+    # argument to another the underlying C++ contour generator will be reused.
+    x, y = np.meshgrid([0.0, 1.0], [0.0, 1.0])
+    z = x + y
+    fig, ax = plt.subplots()
+    qcs1 = ax.contourf(x, y, z)
+    qcs2 = ax.contour(x, y, z)
+    assert qcs2._contour_generator != qcs1._contour_generator
+    qcs3 = ax.contour(qcs1, z)
+    assert qcs3._contour_generator == qcs1._contour_generator
+
+
+@image_comparison(baseline_images=['contour_manual'],
+                  extensions=['png'], remove_text=True, tol=0.89)
+def test_contour_manual():
+    # Manually specifying contour lines/polygons to plot.
+    from matplotlib.contour import ContourSet
+
+    fig, ax = plt.subplots(figsize=(4, 4))
+    cmap = 'viridis'
+
+    # Segments only (no 'kind' codes).
+    lines0 = [[[2, 0], [1, 2], [1, 3]]]  # Single line.
+    lines1 = [[[3, 0], [3, 2]], [[3, 3], [3, 4]]]  # Two lines.
+    filled01 = [[[0, 0], [0, 4], [1, 3], [1, 2], [2, 0]]]
+    filled12 = [[[2, 0], [3, 0], [3, 2], [1, 3], [1, 2]],  # Two polygons.
+                [[1, 4], [3, 4], [3, 3]]]
+    ContourSet(ax, [0, 1, 2], [filled01, filled12], filled=True, cmap=cmap)
+    ContourSet(ax, [1, 2], [lines0, lines1], linewidths=3, colors=['r', 'k'])
+
+    # Segments and kind codes (1 = MOVETO, 2 = LINETO, 79 = CLOSEPOLY).
+    segs = [[[4, 0], [7, 0], [7, 3], [4, 3], [4, 0],
+             [5, 1], [5, 2], [6, 2], [6, 1], [5, 1]]]
+    kinds = [[1, 2, 2, 2, 79, 1, 2, 2, 2, 79]]  # Polygon containing hole.
+    ContourSet(ax, [2, 3], [segs], [kinds], filled=True, cmap=cmap)
+    ContourSet(ax, [2], [segs], [kinds], colors='k', linewidths=3)
+
+
+@image_comparison(baseline_images=['contour_line_start_on_corner_edge'],
+                  extensions=['png'], remove_text=True)
+def test_contour_line_start_on_corner_edge():
+    fig, ax = plt.subplots(figsize=(6, 5))
+
+    x, y = np.meshgrid([0, 1, 2, 3, 4], [0, 1, 2])
+    z = 1.2 - (x - 2)**2 + (y - 1)**2
+    mask = np.zeros_like(z, dtype=bool)
+    mask[1, 1] = mask[1, 3] = True
+    z = np.ma.array(z, mask=mask)
+
+    filled = ax.contourf(x, y, z, corner_mask=True)
+    cbar = fig.colorbar(filled)
+    lines = ax.contour(x, y, z, corner_mask=True, colors='k')
+    cbar.add_lines(lines)
+
+
+def test_find_nearest_contour():
+    xy = np.indices((15, 15))
+    img = np.exp(-np.pi * (np.sum((xy - 5)**2, 0)/5.**2))
+    cs = plt.contour(img, 10)
+
+    nearest_contour = cs.find_nearest_contour(1, 1, pixel=False)
+    expected_nearest = (1, 0, 33, 1.965966, 1.965966, 1.866183)
+    assert_array_almost_equal(nearest_contour, expected_nearest)
+
+    nearest_contour = cs.find_nearest_contour(8, 1, pixel=False)
+    expected_nearest = (1, 0, 5, 7.550173, 1.587542, 0.547550)
+    assert_array_almost_equal(nearest_contour, expected_nearest)
+
+    nearest_contour = cs.find_nearest_contour(2, 5, pixel=False)
+    expected_nearest = (3, 0, 21, 1.884384, 5.023335, 0.013911)
+    assert_array_almost_equal(nearest_contour, expected_nearest)
+
+    nearest_contour = cs.find_nearest_contour(2, 5, indices=(5, 7), pixel=False)
+    expected_nearest = (5, 0, 16, 2.628202, 5.0, 0.394638)
+    assert_array_almost_equal(nearest_contour, expected_nearest)
+
+
+def test_find_nearest_contour_no_filled():
+    xy = np.indices((15, 15))
+    img = np.exp(-np.pi * (np.sum((xy - 5)**2, 0)/5.**2))
+    cs = plt.contourf(img, 10)
+
+    with pytest.raises(ValueError, match="Method does not support filled contours"):
+        cs.find_nearest_contour(1, 1, pixel=False)
+
+    with pytest.raises(ValueError, match="Method does not support filled contours"):
+        cs.find_nearest_contour(1, 10, indices=(5, 7), pixel=False)
+
+    with pytest.raises(ValueError, match="Method does not support filled contours"):
+        cs.find_nearest_contour(2, 5, indices=(2, 7), pixel=True)
+
+
+@mpl.style.context("default")
+def test_contour_autolabel_beyond_powerlimits():
+    ax = plt.figure().add_subplot()
+    cs = plt.contour(np.geomspace(1e-6, 1e-4, 100).reshape(10, 10),
+                     levels=[.25e-5, 1e-5, 4e-5])
+    ax.clabel(cs)
+    # Currently, the exponent is missing, but that may be fixed in the future.
+    assert {text.get_text() for text in ax.texts} == {"0.25", "1.00", "4.00"}
+
+
+def test_contourf_legend_elements():
+    from matplotlib.patches import Rectangle
+    x = np.arange(1, 10)
+    y = x.reshape(-1, 1)
+    h = x * y
+
+    cs = plt.contourf(h, levels=[10, 30, 50],
+                      colors=['#FFFF00', '#FF00FF', '#00FFFF'],
+                      extend='both')
+    cs.cmap.set_over('red')
+    cs.cmap.set_under('blue')
+    cs.changed()
+    artists, labels = cs.legend_elements()
+    assert labels == ['$x \\leq -1e+250s$',
+                      '$10.0 < x \\leq 30.0$',
+                      '$30.0 < x \\leq 50.0$',
+                      '$x > 1e+250s$']
+    expected_colors = ('blue', '#FFFF00', '#FF00FF', 'red')
+    assert all(isinstance(a, Rectangle) for a in artists)
+    assert all(same_color(a.get_facecolor(), c)
+               for a, c in zip(artists, expected_colors))
+
+
+def test_contour_legend_elements():
+    x = np.arange(1, 10)
+    y = x.reshape(-1, 1)
+    h = x * y
+
+    colors = ['blue', '#00FF00', 'red']
+    cs = plt.contour(h, levels=[10, 30, 50],
+                     colors=colors,
+                     extend='both')
+    artists, labels = cs.legend_elements()
+    assert labels == ['$x = 10.0$', '$x = 30.0$', '$x = 50.0$']
+    assert all(isinstance(a, mpl.lines.Line2D) for a in artists)
+    assert all(same_color(a.get_color(), c)
+               for a, c in zip(artists, colors))
+
+
+@pytest.mark.parametrize(
+    "algorithm, klass",
+    [('mpl2005', contourpy.Mpl2005ContourGenerator),
+     ('mpl2014', contourpy.Mpl2014ContourGenerator),
+     ('serial', contourpy.SerialContourGenerator),
+     ('threaded', contourpy.ThreadedContourGenerator),
+     ('invalid', None)])
+def test_algorithm_name(algorithm, klass):
+    z = np.array([[1.0, 2.0], [3.0, 4.0]])
+    if klass is not None:
+        cs = plt.contourf(z, algorithm=algorithm)
+        assert isinstance(cs._contour_generator, klass)
+    else:
+        with pytest.raises(ValueError):
+            plt.contourf(z, algorithm=algorithm)
+
+
+@pytest.mark.parametrize(
+    "algorithm", ['mpl2005', 'mpl2014', 'serial', 'threaded'])
+def test_algorithm_supports_corner_mask(algorithm):
+    z = np.array([[1.0, 2.0], [3.0, 4.0]])
+
+    # All algorithms support corner_mask=False
+    plt.contourf(z, algorithm=algorithm, corner_mask=False)
+
+    # Only some algorithms support corner_mask=True
+    if algorithm != 'mpl2005':
+        plt.contourf(z, algorithm=algorithm, corner_mask=True)
+    else:
+        with pytest.raises(ValueError):
+            plt.contourf(z, algorithm=algorithm, corner_mask=True)
+
+
+@image_comparison(baseline_images=['contour_all_algorithms'],
+                  extensions=['png'], remove_text=True, tol=0.06)
+def test_all_algorithms():
+    algorithms = ['mpl2005', 'mpl2014', 'serial', 'threaded']
+
+    rng = np.random.default_rng(2981)
+    x, y = np.meshgrid(np.linspace(0.0, 1.0, 10), np.linspace(0.0, 1.0, 6))
+    z = np.sin(15*x)*np.cos(10*y) + rng.normal(scale=0.5, size=(6, 10))
+    mask = np.zeros_like(z, dtype=bool)
+    mask[3, 7] = True
+    z = np.ma.array(z, mask=mask)
+
+    _, axs = plt.subplots(2, 2)
+    for ax, algorithm in zip(axs.ravel(), algorithms):
+        ax.contourf(x, y, z, algorithm=algorithm)
+        ax.contour(x, y, z, algorithm=algorithm, colors='k')
+        ax.set_title(algorithm)
+
+
+def test_subfigure_clabel():
+    # Smoke test for gh#23173
+    delta = 0.025
+    x = np.arange(-3.0, 3.0, delta)
+    y = np.arange(-2.0, 2.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-(X**2) - Y**2)
+    Z2 = np.exp(-((X - 1) ** 2) - (Y - 1) ** 2)
+    Z = (Z1 - Z2) * 2
+
+    fig = plt.figure()
+    figs = fig.subfigures(nrows=1, ncols=2)
+
+    for f in figs:
+        ax = f.subplots()
+        CS = ax.contour(X, Y, Z)
+        ax.clabel(CS, inline=True, fontsize=10)
+        ax.set_title("Simplest default with labels")
+
+
+@pytest.mark.parametrize(
+    "style", ['solid', 'dashed', 'dashdot', 'dotted'])
+def test_linestyles(style):
+    delta = 0.025
+    x = np.arange(-3.0, 3.0, delta)
+    y = np.arange(-2.0, 2.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    # Positive contour defaults to solid
+    fig1, ax1 = plt.subplots()
+    CS1 = ax1.contour(X, Y, Z, 6, colors='k')
+    ax1.clabel(CS1, fontsize=9, inline=True)
+    ax1.set_title('Single color - positive contours solid (default)')
+    assert CS1.linestyles is None  # default
+
+    # Change linestyles using linestyles kwarg
+    fig2, ax2 = plt.subplots()
+    CS2 = ax2.contour(X, Y, Z, 6, colors='k', linestyles=style)
+    ax2.clabel(CS2, fontsize=9, inline=True)
+    ax2.set_title(f'Single color - positive contours {style}')
+    assert CS2.linestyles == style
+
+    # Ensure linestyles do not change when negative_linestyles is defined
+    fig3, ax3 = plt.subplots()
+    CS3 = ax3.contour(X, Y, Z, 6, colors='k', linestyles=style,
+                      negative_linestyles='dashdot')
+    ax3.clabel(CS3, fontsize=9, inline=True)
+    ax3.set_title(f'Single color - positive contours {style}')
+    assert CS3.linestyles == style
+
+
+@pytest.mark.parametrize(
+    "style", ['solid', 'dashed', 'dashdot', 'dotted'])
+def test_negative_linestyles(style):
+    delta = 0.025
+    x = np.arange(-3.0, 3.0, delta)
+    y = np.arange(-2.0, 2.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    # Negative contour defaults to dashed
+    fig1, ax1 = plt.subplots()
+    CS1 = ax1.contour(X, Y, Z, 6, colors='k')
+    ax1.clabel(CS1, fontsize=9, inline=True)
+    ax1.set_title('Single color - negative contours dashed (default)')
+    assert CS1.negative_linestyles == 'dashed'  # default
+
+    # Change negative_linestyles using rcParams
+    plt.rcParams['contour.negative_linestyle'] = style
+    fig2, ax2 = plt.subplots()
+    CS2 = ax2.contour(X, Y, Z, 6, colors='k')
+    ax2.clabel(CS2, fontsize=9, inline=True)
+    ax2.set_title(f'Single color - negative contours {style}'
+                   '(using rcParams)')
+    assert CS2.negative_linestyles == style
+
+    # Change negative_linestyles using negative_linestyles kwarg
+    fig3, ax3 = plt.subplots()
+    CS3 = ax3.contour(X, Y, Z, 6, colors='k', negative_linestyles=style)
+    ax3.clabel(CS3, fontsize=9, inline=True)
+    ax3.set_title(f'Single color - negative contours {style}')
+    assert CS3.negative_linestyles == style
+
+    # Ensure negative_linestyles do not change when linestyles is defined
+    fig4, ax4 = plt.subplots()
+    CS4 = ax4.contour(X, Y, Z, 6, colors='k', linestyles='dashdot',
+                      negative_linestyles=style)
+    ax4.clabel(CS4, fontsize=9, inline=True)
+    ax4.set_title(f'Single color - negative contours {style}')
+    assert CS4.negative_linestyles == style
+
+
+def test_contour_remove():
+    ax = plt.figure().add_subplot()
+    orig_children = ax.get_children()
+    cs = ax.contour(np.arange(16).reshape((4, 4)))
+    cs.clabel()
+    assert ax.get_children() != orig_children
+    cs.remove()
+    assert ax.get_children() == orig_children
+
+
+def test_contour_no_args():
+    fig, ax = plt.subplots()
+    data = [[0, 1], [1, 0]]
+    with pytest.raises(TypeError, match=r"contour\(\) takes from 1 to 4"):
+        ax.contour(Z=data)
+
+
+def test_contour_clip_path():
+    fig, ax = plt.subplots()
+    data = [[0, 1], [1, 0]]
+    circle = mpatches.Circle([0.5, 0.5], 0.5, transform=ax.transAxes)
+    cs = ax.contour(data, clip_path=circle)
+    assert cs.get_clip_path() is not None
+
+
+def test_bool_autolevel():
+    x, y = np.random.rand(2, 9)
+    z = (np.arange(9) % 2).reshape((3, 3)).astype(bool)
+    m = [[False, False, False], [False, True, False], [False, False, False]]
+    assert plt.contour(z.tolist()).levels.tolist() == [.5]
+    assert plt.contour(z).levels.tolist() == [.5]
+    assert plt.contour(np.ma.array(z, mask=m)).levels.tolist() == [.5]
+    assert plt.contourf(z.tolist()).levels.tolist() == [0, .5, 1]
+    assert plt.contourf(z).levels.tolist() == [0, .5, 1]
+    assert plt.contourf(np.ma.array(z, mask=m)).levels.tolist() == [0, .5, 1]
+    z = z.ravel()
+    assert plt.tricontour(x, y, z.tolist()).levels.tolist() == [.5]
+    assert plt.tricontour(x, y, z).levels.tolist() == [.5]
+    assert plt.tricontourf(x, y, z.tolist()).levels.tolist() == [0, .5, 1]
+    assert plt.tricontourf(x, y, z).levels.tolist() == [0, .5, 1]
+
+
+def test_all_nan():
+    x = np.array([[np.nan, np.nan], [np.nan, np.nan]])
+    assert_array_almost_equal(plt.contour(x).levels,
+                              [-1e-13, -7.5e-14, -5e-14, -2.4e-14, 0.0,
+                                2.4e-14, 5e-14, 7.5e-14, 1e-13])
+
+
+def test_allsegs_allkinds():
+    x, y = np.meshgrid(np.arange(0, 10, 2), np.arange(0, 10, 2))
+    z = np.sin(x) * np.cos(y)
+
+    cs = plt.contour(x, y, z, levels=[0, 0.5])
+
+    # Expect two levels, the first with 5 segments and the second with 4.
+    for result in [cs.allsegs, cs.allkinds]:
+        assert len(result) == 2
+        assert len(result[0]) == 5
+        assert len(result[1]) == 4
+
+
+@image_comparison(baseline_images=['contour_rasterization'],
+                  extensions=['pdf'], style='mpl20', savefig_kwarg={'dpi': 25})
+def test_contourf_rasterize():
+    fig, ax = plt.subplots()
+    data = [[0, 1], [1, 0]]
+    circle = mpatches.Circle([0.5, 0.5], 0.5, transform=ax.transAxes)
+    cs = ax.contourf(data, clip_path=circle, rasterized=True)
+    assert cs._rasterized
diff --git a/lib/matplotlib/tests/test_cycles.py b/lib/matplotlib/tests/test_cycles.py
new file mode 100644
index 000000000000..4fa261619490
--- /dev/null
+++ b/lib/matplotlib/tests/test_cycles.py
@@ -0,0 +1,175 @@
+import contextlib
+from io import StringIO
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import numpy as np
+import pytest
+
+from cycler import cycler
+
+
+def test_colorcycle_basic():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler('color', ['r', 'g', 'y']))
+    for _ in range(4):
+        ax.plot(range(10), range(10))
+    assert [l.get_color() for l in ax.lines] == ['r', 'g', 'y', 'r']
+
+
+def test_marker_cycle():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler('c', ['r', 'g', 'y']) +
+                      cycler('marker', ['.', '*', 'x']))
+    for _ in range(4):
+        ax.plot(range(10), range(10))
+    assert [l.get_color() for l in ax.lines] == ['r', 'g', 'y', 'r']
+    assert [l.get_marker() for l in ax.lines] == ['.', '*', 'x', '.']
+
+
+def test_valid_marker_cycles():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler(marker=[1, "+", ".", 4]))
+
+
+def test_marker_cycle_kwargs_arrays_iterators():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(c=np.array(['r', 'g', 'y']),
+                      marker=iter(['.', '*', 'x']))
+    for _ in range(4):
+        ax.plot(range(10), range(10))
+    assert [l.get_color() for l in ax.lines] == ['r', 'g', 'y', 'r']
+    assert [l.get_marker() for l in ax.lines] == ['.', '*', 'x', '.']
+
+
+def test_linestylecycle_basic():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler('ls', ['-', '--', ':']))
+    for _ in range(4):
+        ax.plot(range(10), range(10))
+    assert [l.get_linestyle() for l in ax.lines] == ['-', '--', ':', '-']
+
+
+def test_fillcycle_basic():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler('c',  ['r', 'g', 'y']) +
+                      cycler('hatch', ['xx', 'O', '|-']) +
+                      cycler('linestyle', ['-', '--', ':']))
+    for _ in range(4):
+        ax.fill(range(10), range(10))
+    assert ([p.get_facecolor() for p in ax.patches]
+            == [mpl.colors.to_rgba(c) for c in ['r', 'g', 'y', 'r']])
+    assert [p.get_hatch() for p in ax.patches] == ['xx', 'O', '|-', 'xx']
+    assert [p.get_linestyle() for p in ax.patches] == ['-', '--', ':', '-']
+
+
+def test_fillcycle_ignore():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(cycler('color',  ['r', 'g', 'y']) +
+                      cycler('hatch', ['xx', 'O', '|-']) +
+                      cycler('marker', ['.', '*', 'D']))
+    t = range(10)
+    # Should not advance the cycler, even though there is an
+    # unspecified property in the cycler "marker".
+    # "marker" is not a Polygon property, and should be ignored.
+    ax.fill(t, t, 'r', hatch='xx')
+    # Allow the cycler to advance, but specify some properties
+    ax.fill(t, t, hatch='O')
+    ax.fill(t, t)
+    ax.fill(t, t)
+    assert ([p.get_facecolor() for p in ax.patches]
+            == [mpl.colors.to_rgba(c) for c in ['r', 'r', 'g', 'y']])
+    assert [p.get_hatch() for p in ax.patches] == ['xx', 'O', 'O', '|-']
+
+
+def test_property_collision_plot():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle('linewidth', [2, 4])
+    t = range(10)
+    for c in range(1, 4):
+        ax.plot(t, t, lw=0.1)
+    ax.plot(t, t)
+    ax.plot(t, t)
+    assert [l.get_linewidth() for l in ax.lines] == [0.1, 0.1, 0.1, 2, 4]
+
+
+def test_property_collision_fill():
+    fig, ax = plt.subplots()
+    ax.set_prop_cycle(linewidth=[2, 3, 4, 5, 6], facecolor='bgcmy')
+    t = range(10)
+    for c in range(1, 4):
+        ax.fill(t, t, lw=0.1)
+    ax.fill(t, t)
+    ax.fill(t, t)
+    assert ([p.get_facecolor() for p in ax.patches]
+            == [mpl.colors.to_rgba(c) for c in 'bgcmy'])
+    assert [p.get_linewidth() for p in ax.patches] == [0.1, 0.1, 0.1, 5, 6]
+
+
+def test_valid_input_forms():
+    fig, ax = plt.subplots()
+    # These should not raise an error.
+    ax.set_prop_cycle(None)
+    ax.set_prop_cycle(cycler('linewidth', [1, 2]))
+    ax.set_prop_cycle('color', 'rgywkbcm')
+    ax.set_prop_cycle('lw', (1, 2))
+    ax.set_prop_cycle('linewidth', [1, 2])
+    ax.set_prop_cycle('linewidth', iter([1, 2]))
+    ax.set_prop_cycle('linewidth', np.array([1, 2]))
+    ax.set_prop_cycle('color', np.array([[1, 0, 0],
+                                         [0, 1, 0],
+                                         [0, 0, 1]]))
+    ax.set_prop_cycle('dashes', [[], [13, 2], [8, 3, 1, 3]])
+    ax.set_prop_cycle(lw=[1, 2], color=['k', 'w'], ls=['-', '--'])
+    ax.set_prop_cycle(lw=np.array([1, 2]),
+                      color=np.array(['k', 'w']),
+                      ls=np.array(['-', '--']))
+
+
+def test_cycle_reset():
+    fig, ax = plt.subplots()
+    prop0 = StringIO()
+    prop1 = StringIO()
+    prop2 = StringIO()
+
+    with contextlib.redirect_stdout(prop0):
+        plt.getp(ax.plot([1, 2], label="label")[0])
+
+    ax.set_prop_cycle(linewidth=[10, 9, 4])
+    with contextlib.redirect_stdout(prop1):
+        plt.getp(ax.plot([1, 2], label="label")[0])
+    assert prop1.getvalue() != prop0.getvalue()
+
+    ax.set_prop_cycle(None)
+    with contextlib.redirect_stdout(prop2):
+        plt.getp(ax.plot([1, 2], label="label")[0])
+    assert prop2.getvalue() == prop0.getvalue()
+
+
+def test_invalid_input_forms():
+    fig, ax = plt.subplots()
+
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle(1)
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle([1, 2])
+
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle('color', 'fish')
+
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle('linewidth', 1)
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle('linewidth', {1, 2})
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle(linewidth=1, color='r')
+
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle('foobar', [1, 2])
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle(foobar=[1, 2])
+
+    with pytest.raises((TypeError, ValueError)):
+        ax.set_prop_cycle(cycler(foobar=[1, 2]))
+    with pytest.raises(ValueError):
+        ax.set_prop_cycle(cycler(color='rgb', c='cmy'))
diff --git a/lib/matplotlib/tests/test_dates.py b/lib/matplotlib/tests/test_dates.py
index 7b847bb0df6d..73f10cec52aa 100644
--- a/lib/matplotlib/tests/test_dates.py
+++ b/lib/matplotlib/tests/test_dates.py
@@ -1,118 +1,235 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import datetime
 
-import six
-from six.moves import map
+import dateutil.tz
+import dateutil.rrule
+import functools
+import numpy as np
+import pytest
 
-import datetime
-import warnings
-import tempfile
-
-import dateutil
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
-from nose.tools import assert_raises, assert_equal
-
-from matplotlib.testing.decorators import image_comparison, cleanup
-import matplotlib.pyplot as plt
+from matplotlib import rc_context, style
 import matplotlib.dates as mdates
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+import matplotlib.ticker as mticker
+
+
+def test_date_numpyx():
+    # test that numpy dates work properly...
+    base = datetime.datetime(2017, 1, 1)
+    time = [base + datetime.timedelta(days=x) for x in range(0, 3)]
+    timenp = np.array(time, dtype='datetime64[ns]')
+    data = np.array([0., 2., 1.])
+    fig = plt.figure(figsize=(10, 2))
+    ax = fig.add_subplot(1, 1, 1)
+    h, = ax.plot(time, data)
+    hnp, = ax.plot(timenp, data)
+    np.testing.assert_equal(h.get_xdata(orig=False), hnp.get_xdata(orig=False))
+    fig = plt.figure(figsize=(10, 2))
+    ax = fig.add_subplot(1, 1, 1)
+    h, = ax.plot(data, time)
+    hnp, = ax.plot(data, timenp)
+    np.testing.assert_equal(h.get_ydata(orig=False), hnp.get_ydata(orig=False))
+
+
+@pytest.mark.parametrize('t0', [datetime.datetime(2017, 1, 1, 0, 1, 1),
+
+                                [datetime.datetime(2017, 1, 1, 0, 1, 1),
+                                 datetime.datetime(2017, 1, 1, 1, 1, 1)],
+
+                                [[datetime.datetime(2017, 1, 1, 0, 1, 1),
+                                  datetime.datetime(2017, 1, 1, 1, 1, 1)],
+                                 [datetime.datetime(2017, 1, 1, 2, 1, 1),
+                                  datetime.datetime(2017, 1, 1, 3, 1, 1)]]])
+@pytest.mark.parametrize('dtype', ['datetime64[s]',
+                                   'datetime64[us]',
+                                   'datetime64[ms]',
+                                   'datetime64[ns]'])
+def test_date_date2num_numpy(t0, dtype):
+    time = mdates.date2num(t0)
+    tnp = np.array(t0, dtype=dtype)
+    nptime = mdates.date2num(tnp)
+    np.testing.assert_equal(time, nptime)
+
+
+@pytest.mark.parametrize('dtype', ['datetime64[s]',
+                                   'datetime64[us]',
+                                   'datetime64[ms]',
+                                   'datetime64[ns]'])
+def test_date2num_NaT(dtype):
+    t0 = datetime.datetime(2017, 1, 1, 0, 1, 1)
+    tmpl = [mdates.date2num(t0), np.nan]
+    tnp = np.array([t0, 'NaT'], dtype=dtype)
+    nptime = mdates.date2num(tnp)
+    np.testing.assert_array_equal(tmpl, nptime)
+
+
+@pytest.mark.parametrize('units', ['s', 'ms', 'us', 'ns'])
+def test_date2num_NaT_scalar(units):
+    tmpl = mdates.date2num(np.datetime64('NaT', units))
+    assert np.isnan(tmpl)
+
+
+def test_date2num_masked():
+    # Without tzinfo
+    base = datetime.datetime(2022, 12, 15)
+    dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
+                         for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
+    npdates = mdates.date2num(dates)
+    np.testing.assert_array_equal(np.ma.getmask(npdates),
+                                  (False, True, True, False, False, False,
+                                   True))
+
+    # With tzinfo
+    base = datetime.datetime(2022, 12, 15, tzinfo=mdates.UTC)
+    dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
+                         for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
+    npdates = mdates.date2num(dates)
+    np.testing.assert_array_equal(np.ma.getmask(npdates),
+                                  (False, True, True, False, False, False,
+                                   True))
 
 
-@image_comparison(baseline_images=['date_empty'], extensions=['png'])
 def test_date_empty():
-    # make sure mpl does the right thing when told to plot dates even
+    # make sure we do the right thing when told to plot dates even
     # if no date data has been presented, cf
     # http://sourceforge.net/tracker/?func=detail&aid=2850075&group_id=80706&atid=560720
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
+    ax.xaxis_date()
+    fig.draw_without_rendering()
+    np.testing.assert_allclose(ax.get_xlim(),
+                               [mdates.date2num(np.datetime64('1970-01-01')),
+                                mdates.date2num(np.datetime64('1970-01-02'))])
+
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('0000-12-31')
+    fig, ax = plt.subplots()
     ax.xaxis_date()
+    fig.draw_without_rendering()
+    np.testing.assert_allclose(ax.get_xlim(),
+                               [mdates.date2num(np.datetime64('1970-01-01')),
+                                mdates.date2num(np.datetime64('1970-01-02'))])
+    mdates._reset_epoch_test_example()
+
+
+def test_date_not_empty():
+    fig = plt.figure()
+    ax = fig.add_subplot()
+
+    ax.plot([50, 70], [1, 2])
+    ax.xaxis.axis_date()
+    np.testing.assert_allclose(ax.get_xlim(), [50, 70])
+
+
+def test_axhline():
+    # make sure that axhline doesn't set the xlimits...
+    fig, ax = plt.subplots()
+    ax.axhline(1.5)
+    ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])
+    np.testing.assert_allclose(ax.get_xlim(),
+                               [mdates.date2num(np.datetime64('2016-01-01')),
+                                mdates.date2num(np.datetime64('2016-01-02'))])
+
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('0000-12-31')
+    fig, ax = plt.subplots()
+    ax.axhline(1.5)
+    ax.plot([np.datetime64('2016-01-01'), np.datetime64('2016-01-02')], [1, 2])
+    np.testing.assert_allclose(ax.get_xlim(),
+                               [mdates.date2num(np.datetime64('2016-01-01')),
+                                mdates.date2num(np.datetime64('2016-01-02'))])
+    mdates._reset_epoch_test_example()
 
 
-@image_comparison(baseline_images=['date_axhspan'], extensions=['png'])
+@image_comparison(['date_axhspan.png'])
 def test_date_axhspan():
-    # test ax hspan with date inputs
+    # test axhspan with date inputs
     t0 = datetime.datetime(2009, 1, 20)
     tf = datetime.datetime(2009, 1, 21)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.axhspan(t0, tf, facecolor="blue", alpha=0.25)
     ax.set_ylim(t0 - datetime.timedelta(days=5),
                 tf + datetime.timedelta(days=5))
     fig.subplots_adjust(left=0.25)
 
 
-@image_comparison(baseline_images=['date_axvspan'], extensions=['png'])
+@image_comparison(['date_axvspan.png'])
 def test_date_axvspan():
-    # test ax hspan with date inputs
+    # test axvspan with date inputs
     t0 = datetime.datetime(2000, 1, 20)
     tf = datetime.datetime(2010, 1, 21)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.axvspan(t0, tf, facecolor="blue", alpha=0.25)
     ax.set_xlim(t0 - datetime.timedelta(days=720),
                 tf + datetime.timedelta(days=720))
     fig.autofmt_xdate()
 
 
-@image_comparison(baseline_images=['date_axhline'],
-                  extensions=['png'])
+@image_comparison(['date_axhline.png'])
 def test_date_axhline():
-    # test ax hline with date inputs
+    # test axhline with date inputs
     t0 = datetime.datetime(2009, 1, 20)
     tf = datetime.datetime(2009, 1, 31)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.axhline(t0, color="blue", lw=3)
     ax.set_ylim(t0 - datetime.timedelta(days=5),
                 tf + datetime.timedelta(days=5))
     fig.subplots_adjust(left=0.25)
 
 
-@image_comparison(baseline_images=['date_axvline'], tol=16,
-                  extensions=['png'])
+@image_comparison(['date_axvline.png'])
 def test_date_axvline():
-    # test ax hline with date inputs
+    # test axvline with date inputs
     t0 = datetime.datetime(2000, 1, 20)
     tf = datetime.datetime(2000, 1, 21)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.axvline(t0, color="red", lw=3)
     ax.set_xlim(t0 - datetime.timedelta(days=5),
                 tf + datetime.timedelta(days=5))
     fig.autofmt_xdate()
 
 
-@cleanup
-def test_too_many_date_ticks():
+def test_too_many_date_ticks(caplog):
     # Attempt to test SF 2715172, see
     # https://sourceforge.net/tracker/?func=detail&aid=2715172&group_id=80706&atid=560720
     # setting equal datetimes triggers and expander call in
     # transforms.nonsingular which results in too many ticks in the
-    # DayLocator.  This should trigger a Locator.MAXTICKS RuntimeError
-    warnings.filterwarnings(
-        'ignore',
-        'Attempting to set identical left==right results\\nin singular '
-        'transformations; automatically expanding.\\nleft=\d*\.\d*, '
-        'right=\d*\.\d*',
-        UserWarning, module='matplotlib.axes')
+    # DayLocator.  This should emit a log at WARNING level.
+    caplog.set_level("WARNING")
     t0 = datetime.datetime(2000, 1, 20)
     tf = datetime.datetime(2000, 1, 20)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
-    ax.set_xlim((t0, tf), auto=True)
+    fig, ax = plt.subplots()
+    with pytest.warns(UserWarning) as rec:
+        ax.set_xlim((t0, tf), auto=True)
+        assert len(rec) == 1
+        assert ('Attempting to set identical low and high xlims'
+                in str(rec[0].message))
     ax.plot([], [])
     ax.xaxis.set_major_locator(mdates.DayLocator())
-    assert_raises(RuntimeError, fig.savefig, 'junk.png')
+    v = ax.xaxis.get_major_locator()()
+    assert len(v) > 1000
+    # The warning is emitted multiple times because the major locator is also
+    # called both when placing the minor ticks (for overstriking detection) and
+    # during tick label positioning.
+    assert caplog.records and all(
+        record.name == "matplotlib.ticker" and record.levelname == "WARNING"
+        for record in caplog.records)
+    assert len(caplog.records) > 0
+
 
+def _new_epoch_decorator(thefunc):
+    @functools.wraps(thefunc)
+    def wrapper():
+        mdates._reset_epoch_test_example()
+        mdates.set_epoch('2000-01-01')
+        thefunc()
+        mdates._reset_epoch_test_example()
+    return wrapper
 
-@image_comparison(baseline_images=['RRuleLocator_bounds'], extensions=['png'])
+
+@image_comparison(['RRuleLocator_bounds.png'])
 def test_RRuleLocator():
     import matplotlib.testing.jpl_units as units
     units.register()
-
     # This will cause the RRuleLocator to go out of bounds when it tries
     # to add padding to the limits, so we make sure it caps at the correct
     # boundary values.
@@ -120,7 +237,7 @@ def test_RRuleLocator():
     tf = datetime.datetime(6000, 1, 1)
 
     fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.subplot()
     ax.set_autoscale_on(True)
     ax.plot([t0, tf], [0.0, 1.0], marker='o')
 
@@ -133,8 +250,27 @@ def test_RRuleLocator():
     fig.autofmt_xdate()
 
 
-@image_comparison(baseline_images=['DateFormatter_fractionalSeconds'],
-                  extensions=['png'])
+def test_RRuleLocator_dayrange():
+    loc = mdates.DayLocator()
+    x1 = datetime.datetime(year=1, month=1, day=1, tzinfo=mdates.UTC)
+    y1 = datetime.datetime(year=1, month=1, day=16, tzinfo=mdates.UTC)
+    loc.tick_values(x1, y1)
+    # On success, no overflow error shall be thrown
+
+
+def test_RRuleLocator_close_minmax():
+    # if d1 and d2 are very close together, rrule cannot create
+    # reasonable tick intervals; ensure that this is handled properly
+    rrule = mdates.rrulewrapper(dateutil.rrule.SECONDLY, interval=5)
+    loc = mdates.RRuleLocator(rrule)
+    d1 = datetime.datetime(year=2020, month=1, day=1)
+    d2 = datetime.datetime(year=2020, month=1, day=1, microsecond=1)
+    expected = ['2020-01-01 00:00:00+00:00',
+                '2020-01-01 00:00:00.000001+00:00']
+    assert list(map(str, mdates.num2date(loc.tick_values(d1, d2)))) == expected
+
+
+@image_comparison(['DateFormatter_fractionalSeconds.png'])
 def test_DateFormatter():
     import matplotlib.testing.jpl_units as units
     units.register()
@@ -146,7 +282,7 @@ def test_DateFormatter():
     tf = datetime.datetime(2001, 1, 1, 0, 0, 1)
 
     fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.subplot()
     ax.set_autoscale_on(True)
     ax.plot([t0, tf], [0.0, 1.0], marker='o')
 
@@ -159,16 +295,73 @@ def test_DateFormatter():
     fig.autofmt_xdate()
 
 
+def test_locator_set_formatter():
+    """
+    Test if setting the locator only will update the AutoDateFormatter to use
+    the new locator.
+    """
+    plt.rcParams["date.autoformatter.minute"] = "%d %H:%M"
+    t = [datetime.datetime(2018, 9, 30, 8, 0),
+         datetime.datetime(2018, 9, 30, 8, 59),
+         datetime.datetime(2018, 9, 30, 10, 30)]
+    x = [2, 3, 1]
+
+    fig, ax = plt.subplots()
+    ax.plot(t, x)
+    ax.xaxis.set_major_locator(mdates.MinuteLocator((0, 30)))
+    fig.canvas.draw()
+    ticklabels = [tl.get_text() for tl in ax.get_xticklabels()]
+    expected = ['30 08:00', '30 08:30', '30 09:00',
+                '30 09:30', '30 10:00', '30 10:30']
+    assert ticklabels == expected
+
+    ax.xaxis.set_major_locator(mticker.NullLocator())
+    ax.xaxis.set_minor_locator(mdates.MinuteLocator((5, 55)))
+    decoy_loc = mdates.MinuteLocator((12, 27))
+    ax.xaxis.set_minor_formatter(mdates.AutoDateFormatter(decoy_loc))
+
+    ax.xaxis.set_minor_locator(mdates.MinuteLocator((15, 45)))
+    fig.canvas.draw()
+    ticklabels = [tl.get_text() for tl in ax.get_xticklabels(which="minor")]
+    expected = ['30 08:15', '30 08:45', '30 09:15', '30 09:45', '30 10:15']
+    assert ticklabels == expected
+
+
 def test_date_formatter_callable():
-    scale = -11
-    locator = mock.Mock(_get_unit=mock.Mock(return_value=scale))
-    callable_formatting_function = (lambda dates, _:
-                                    [dt.strftime('%d-%m//%Y') for dt in dates])
 
-    formatter = mdates.AutoDateFormatter(locator)
+    class _Locator:
+        def _get_unit(self): return -11
+
+    def callable_formatting_function(dates, _):
+        return [dt.strftime('%d-%m//%Y') for dt in dates]
+
+    formatter = mdates.AutoDateFormatter(_Locator())
     formatter.scaled[-10] = callable_formatting_function
-    assert_equal(formatter([datetime.datetime(2014, 12, 25)]),
-                 ['25-12//2014'])
+    assert formatter([datetime.datetime(2014, 12, 25)]) == ['25-12//2014']
+
+
+@pytest.mark.parametrize('delta, expected', [
+    (datetime.timedelta(weeks=52 * 200),
+     [r'$\mathdefault{%d}$' % year for year in range(1990, 2171, 20)]),
+    (datetime.timedelta(days=30),
+     [r'$\mathdefault{1990{-}01{-}%02d}$' % day for day in range(1, 32, 3)]),
+    (datetime.timedelta(hours=20),
+     [r'$\mathdefault{01{-}01\;%02d}$' % hour for hour in range(0, 21, 2)]),
+    (datetime.timedelta(minutes=10),
+     [r'$\mathdefault{01\;00{:}%02d}$' % minu for minu in range(0, 11)]),
+])
+def test_date_formatter_usetex(delta, expected):
+    style.use("default")
+
+    d1 = datetime.datetime(1990, 1, 1)
+    d2 = d1 + delta
+
+    locator = mdates.AutoDateLocator(interval_multiples=False)
+    locator.create_dummy_axis()
+    locator.axis.set_view_interval(mdates.date2num(d1), mdates.date2num(d2))
+
+    formatter = mdates.AutoDateFormatter(locator, usetex=True)
+    assert [formatter(loc) for loc in locator()] == expected
 
 
 def test_drange():
@@ -181,12 +374,16 @@ def test_drange():
     delta = datetime.timedelta(hours=1)
     # We expect 24 values in drange(start, end, delta), because drange returns
     # dates from an half open interval [start, end)
-    assert_equal(24, len(mdates.drange(start, end, delta)))
+    assert len(mdates.drange(start, end, delta)) == 24
+
+    # Same if interval ends slightly earlier
+    end = end - datetime.timedelta(microseconds=1)
+    assert len(mdates.drange(start, end, delta)) == 24
 
     # if end is a little bit later, we expect the range to contain one element
     # more
-    end = end + datetime.timedelta(microseconds=1)
-    assert_equal(25, len(mdates.drange(start, end, delta)))
+    end = end + datetime.timedelta(microseconds=2)
+    assert len(mdates.drange(start, end, delta)) == 25
 
     # reset end
     end = datetime.datetime(2011, 1, 2, tzinfo=mdates.UTC)
@@ -195,36 +392,16 @@ def test_drange():
     # 4 hours = 1/6 day, this is an "dangerous" float
     delta = datetime.timedelta(hours=4)
     daterange = mdates.drange(start, end, delta)
-    assert_equal(6, len(daterange))
-    assert_equal(mdates.num2date(daterange[-1]), end - delta)
-
-
-@cleanup
-def test_empty_date_with_year_formatter():
-    # exposes sf bug 2861426:
-    # https://sourceforge.net/tracker/?func=detail&aid=2861426&group_id=80706&atid=560720
-
-    # update: I am no longer believe this is a bug, as I commented on
-    # the tracker.  The question is now: what to do with this test
-
-    import matplotlib.dates as dates
-
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-
-    yearFmt = dates.DateFormatter('%Y')
-    ax.xaxis.set_major_formatter(yearFmt)
-
-    with tempfile.TemporaryFile() as fh:
-        assert_raises(ValueError, fig.savefig, fh)
+    assert len(daterange) == 6
+    assert mdates.num2date(daterange[-1]) == (end - delta)
 
 
+@_new_epoch_decorator
 def test_auto_date_locator():
     def _create_auto_date_locator(date1, date2):
-        locator = mdates.AutoDateLocator()
+        locator = mdates.AutoDateLocator(interval_multiples=False)
         locator.create_dummy_axis()
-        locator.set_view_interval(mdates.date2num(date1),
-                                  mdates.date2num(date2))
+        locator.axis.set_view_interval(*mdates.date2num([date1, date2]))
         return locator
 
     d1 = datetime.datetime(1990, 1, 1)
@@ -243,11 +420,11 @@ def _create_auto_date_locator(date1, date2):
                  '1990-09-01 00:00:00+00:00', '1990-10-01 00:00:00+00:00',
                  '1990-11-01 00:00:00+00:00', '1990-12-01 00:00:00+00:00']
                 ],
-               [datetime.timedelta(days=140),
-                ['1990-01-06 00:00:00+00:00', '1990-01-27 00:00:00+00:00',
-                 '1990-02-17 00:00:00+00:00', '1990-03-10 00:00:00+00:00',
-                 '1990-03-31 00:00:00+00:00', '1990-04-21 00:00:00+00:00',
-                 '1990-05-12 00:00:00+00:00']
+               [datetime.timedelta(days=141),
+                ['1990-01-05 00:00:00+00:00', '1990-01-26 00:00:00+00:00',
+                 '1990-02-16 00:00:00+00:00', '1990-03-09 00:00:00+00:00',
+                 '1990-03-30 00:00:00+00:00', '1990-04-20 00:00:00+00:00',
+                 '1990-05-11 00:00:00+00:00']
                 ],
                [datetime.timedelta(days=40),
                 ['1990-01-03 00:00:00+00:00', '1990-01-10 00:00:00+00:00',
@@ -266,7 +443,6 @@ def _create_auto_date_locator(date1, date2):
                 ['1990-01-01 00:00:00+00:00', '1990-01-01 00:05:00+00:00',
                  '1990-01-01 00:10:00+00:00', '1990-01-01 00:15:00+00:00',
                  '1990-01-01 00:20:00+00:00']
-
                 ],
                [datetime.timedelta(seconds=40),
                 ['1990-01-01 00:00:00+00:00', '1990-01-01 00:00:05+00:00',
@@ -276,29 +452,513 @@ def _create_auto_date_locator(date1, date2):
                  '1990-01-01 00:00:40+00:00']
                 ],
                [datetime.timedelta(microseconds=1500),
-                ['1989-12-31 23:59:59.999507+00:00',
+                ['1989-12-31 23:59:59.999500+00:00',
                  '1990-01-01 00:00:00+00:00',
-                 '1990-01-01 00:00:00.000502+00:00',
-                 '1990-01-01 00:00:00.001005+00:00',
-                 '1990-01-01 00:00:00.001508+00:00']
+                 '1990-01-01 00:00:00.000500+00:00',
+                 '1990-01-01 00:00:00.001000+00:00',
+                 '1990-01-01 00:00:00.001500+00:00',
+                 '1990-01-01 00:00:00.002000+00:00']
                 ],
                )
 
     for t_delta, expected in results:
         d2 = d1 + t_delta
         locator = _create_auto_date_locator(d1, d2)
-        assert_equal(list(map(str, mdates.num2date(locator()))),
-                     expected)
+        assert list(map(str, mdates.num2date(locator()))) == expected
+
+    locator = mdates.AutoDateLocator(interval_multiples=False)
+    assert locator.maxticks == {0: 11, 1: 12, 3: 11, 4: 12, 5: 11, 6: 11, 7: 8}
 
+    locator = mdates.AutoDateLocator(maxticks={dateutil.rrule.MONTHLY: 5})
+    assert locator.maxticks == {0: 11, 1: 5, 3: 11, 4: 12, 5: 11, 6: 11, 7: 8}
 
-@image_comparison(baseline_images=['date_inverted_limit'],
-                  extensions=['png'])
+    locator = mdates.AutoDateLocator(maxticks=5)
+    assert locator.maxticks == {0: 5, 1: 5, 3: 5, 4: 5, 5: 5, 6: 5, 7: 5}
+
+
+@_new_epoch_decorator
+def test_auto_date_locator_intmult():
+    def _create_auto_date_locator(date1, date2):
+        locator = mdates.AutoDateLocator(interval_multiples=True)
+        locator.create_dummy_axis()
+        locator.axis.set_view_interval(*mdates.date2num([date1, date2]))
+        return locator
+
+    results = ([datetime.timedelta(weeks=52 * 200),
+                ['1980-01-01 00:00:00+00:00', '2000-01-01 00:00:00+00:00',
+                 '2020-01-01 00:00:00+00:00', '2040-01-01 00:00:00+00:00',
+                 '2060-01-01 00:00:00+00:00', '2080-01-01 00:00:00+00:00',
+                 '2100-01-01 00:00:00+00:00', '2120-01-01 00:00:00+00:00',
+                 '2140-01-01 00:00:00+00:00', '2160-01-01 00:00:00+00:00',
+                 '2180-01-01 00:00:00+00:00', '2200-01-01 00:00:00+00:00']
+                ],
+               [datetime.timedelta(weeks=52),
+                ['1997-01-01 00:00:00+00:00', '1997-02-01 00:00:00+00:00',
+                 '1997-03-01 00:00:00+00:00', '1997-04-01 00:00:00+00:00',
+                 '1997-05-01 00:00:00+00:00', '1997-06-01 00:00:00+00:00',
+                 '1997-07-01 00:00:00+00:00', '1997-08-01 00:00:00+00:00',
+                 '1997-09-01 00:00:00+00:00', '1997-10-01 00:00:00+00:00',
+                 '1997-11-01 00:00:00+00:00', '1997-12-01 00:00:00+00:00']
+                ],
+               [datetime.timedelta(days=141),
+                ['1997-01-01 00:00:00+00:00', '1997-01-15 00:00:00+00:00',
+                 '1997-02-01 00:00:00+00:00', '1997-02-15 00:00:00+00:00',
+                 '1997-03-01 00:00:00+00:00', '1997-03-15 00:00:00+00:00',
+                 '1997-04-01 00:00:00+00:00', '1997-04-15 00:00:00+00:00',
+                 '1997-05-01 00:00:00+00:00', '1997-05-15 00:00:00+00:00']
+                ],
+               [datetime.timedelta(days=40),
+                ['1997-01-01 00:00:00+00:00', '1997-01-05 00:00:00+00:00',
+                 '1997-01-09 00:00:00+00:00', '1997-01-13 00:00:00+00:00',
+                 '1997-01-17 00:00:00+00:00', '1997-01-21 00:00:00+00:00',
+                 '1997-01-25 00:00:00+00:00', '1997-01-29 00:00:00+00:00',
+                 '1997-02-01 00:00:00+00:00', '1997-02-05 00:00:00+00:00',
+                 '1997-02-09 00:00:00+00:00']
+                ],
+               [datetime.timedelta(hours=40),
+                ['1997-01-01 00:00:00+00:00', '1997-01-01 04:00:00+00:00',
+                 '1997-01-01 08:00:00+00:00', '1997-01-01 12:00:00+00:00',
+                 '1997-01-01 16:00:00+00:00', '1997-01-01 20:00:00+00:00',
+                 '1997-01-02 00:00:00+00:00', '1997-01-02 04:00:00+00:00',
+                 '1997-01-02 08:00:00+00:00', '1997-01-02 12:00:00+00:00',
+                 '1997-01-02 16:00:00+00:00']
+                ],
+               [datetime.timedelta(minutes=20),
+                ['1997-01-01 00:00:00+00:00', '1997-01-01 00:05:00+00:00',
+                 '1997-01-01 00:10:00+00:00', '1997-01-01 00:15:00+00:00',
+                 '1997-01-01 00:20:00+00:00']
+                ],
+               [datetime.timedelta(seconds=40),
+                ['1997-01-01 00:00:00+00:00', '1997-01-01 00:00:05+00:00',
+                 '1997-01-01 00:00:10+00:00', '1997-01-01 00:00:15+00:00',
+                 '1997-01-01 00:00:20+00:00', '1997-01-01 00:00:25+00:00',
+                 '1997-01-01 00:00:30+00:00', '1997-01-01 00:00:35+00:00',
+                 '1997-01-01 00:00:40+00:00']
+                ],
+               [datetime.timedelta(microseconds=1500),
+                ['1996-12-31 23:59:59.999500+00:00',
+                 '1997-01-01 00:00:00+00:00',
+                 '1997-01-01 00:00:00.000500+00:00',
+                 '1997-01-01 00:00:00.001000+00:00',
+                 '1997-01-01 00:00:00.001500+00:00',
+                 '1997-01-01 00:00:00.002000+00:00']
+                ],
+               )
+
+    d1 = datetime.datetime(1997, 1, 1)
+    for t_delta, expected in results:
+        d2 = d1 + t_delta
+        locator = _create_auto_date_locator(d1, d2)
+        assert list(map(str, mdates.num2date(locator()))) == expected
+
+
+def test_concise_formatter_subsecond():
+    locator = mdates.AutoDateLocator(interval_multiples=True)
+    formatter = mdates.ConciseDateFormatter(locator)
+    year_1996 = 9861.0
+    strings = formatter.format_ticks([
+        year_1996,
+        year_1996 + 500 / mdates.MUSECONDS_PER_DAY,
+        year_1996 + 900 / mdates.MUSECONDS_PER_DAY])
+    assert strings == ['00:00', '00.0005', '00.0009']
+
+
+def test_concise_formatter():
+    def _create_auto_date_locator(date1, date2):
+        fig, ax = plt.subplots()
+
+        locator = mdates.AutoDateLocator(interval_multiples=True)
+        formatter = mdates.ConciseDateFormatter(locator)
+        ax.yaxis.set_major_locator(locator)
+        ax.yaxis.set_major_formatter(formatter)
+        ax.set_ylim(date1, date2)
+        fig.canvas.draw()
+        sts = [st.get_text() for st in ax.get_yticklabels()]
+        return sts
+
+    d1 = datetime.datetime(1997, 1, 1)
+    results = ([datetime.timedelta(weeks=52 * 200),
+                [str(t) for t in range(1980, 2201, 20)]
+                ],
+               [datetime.timedelta(weeks=52),
+                ['1997', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug',
+                 'Sep', 'Oct', 'Nov', 'Dec']
+                ],
+               [datetime.timedelta(days=141),
+                ['Jan', '15', 'Feb', '15', 'Mar', '15', 'Apr', '15',
+                 'May', '15']
+                ],
+               [datetime.timedelta(days=40),
+                ['Jan', '05', '09', '13', '17', '21', '25', '29', 'Feb',
+                 '05', '09']
+                ],
+               [datetime.timedelta(hours=40),
+                ['Jan-01', '04:00', '08:00', '12:00', '16:00', '20:00',
+                 'Jan-02', '04:00', '08:00', '12:00', '16:00']
+                ],
+               [datetime.timedelta(minutes=20),
+                ['00:00', '00:05', '00:10', '00:15', '00:20']
+                ],
+               [datetime.timedelta(seconds=40),
+                ['00:00', '05', '10', '15', '20', '25', '30', '35', '40']
+                ],
+               [datetime.timedelta(seconds=2),
+                ['59.5', '00:00', '00.5', '01.0', '01.5', '02.0', '02.5']
+                ],
+               )
+    for t_delta, expected in results:
+        d2 = d1 + t_delta
+        strings = _create_auto_date_locator(d1, d2)
+        assert strings == expected
+
+
+@pytest.mark.parametrize('t_delta, expected', [
+    (datetime.timedelta(seconds=0.01), '1997-Jan-01 00:00'),
+    (datetime.timedelta(minutes=1), '1997-Jan-01 00:01'),
+    (datetime.timedelta(hours=1), '1997-Jan-01'),
+    (datetime.timedelta(days=1), '1997-Jan-02'),
+    (datetime.timedelta(weeks=1), '1997-Jan'),
+    (datetime.timedelta(weeks=26), ''),
+    (datetime.timedelta(weeks=520), '')
+])
+def test_concise_formatter_show_offset(t_delta, expected):
+    d1 = datetime.datetime(1997, 1, 1)
+    d2 = d1 + t_delta
+
+    fig, ax = plt.subplots()
+    locator = mdates.AutoDateLocator()
+    formatter = mdates.ConciseDateFormatter(locator)
+    ax.xaxis.set_major_locator(locator)
+    ax.xaxis.set_major_formatter(formatter)
+
+    ax.plot([d1, d2], [0, 0])
+    fig.canvas.draw()
+    assert formatter.get_offset() == expected
+
+
+def test_concise_formatter_show_offset_inverted():
+    # Test for github issue #28481
+    d1 = datetime.datetime(1997, 1, 1)
+    d2 = d1 + datetime.timedelta(days=60)
+
+    fig, ax = plt.subplots()
+    locator = mdates.AutoDateLocator()
+    formatter = mdates.ConciseDateFormatter(locator)
+    ax.xaxis.set_major_locator(locator)
+    ax.xaxis.set_major_formatter(formatter)
+    ax.invert_xaxis()
+
+    ax.plot([d1, d2], [0, 0])
+    fig.canvas.draw()
+    assert formatter.get_offset() == '1997-Jan'
+
+
+def test_concise_converter_stays():
+    # This test demonstrates problems introduced by gh-23417 (reverted in gh-25278)
+    # In particular, downstream libraries like Pandas had their designated converters
+    # overridden by actions like setting xlim (or plotting additional points using
+    # stdlib/numpy dates and string date representation, which otherwise work fine with
+    # their date converters)
+    # While this is a bit of a toy example that would be unusual to see it demonstrates
+    # the same ideas (namely having a valid converter already applied that is desired)
+    # without introducing additional subclasses.
+    # See also discussion at gh-25219 for how Pandas was affected
+    x = [datetime.datetime(2000, 1, 1), datetime.datetime(2020, 2, 20)]
+    y = [0, 1]
+    fig, ax = plt.subplots()
+    ax.plot(x, y)
+    # Bypass Switchable date converter
+    conv = mdates.ConciseDateConverter()
+    with pytest.warns(UserWarning, match="already has a converter"):
+        ax.xaxis.set_converter(conv)
+    assert ax.xaxis.units is None
+    ax.set_xlim(*x)
+    assert ax.xaxis.get_converter() == conv
+
+
+def test_offset_changes():
+    fig, ax = plt.subplots()
+
+    d1 = datetime.datetime(1997, 1, 1)
+    d2 = d1 + datetime.timedelta(weeks=520)
+
+    locator = mdates.AutoDateLocator()
+    formatter = mdates.ConciseDateFormatter(locator)
+    ax.xaxis.set_major_locator(locator)
+    ax.xaxis.set_major_formatter(formatter)
+
+    ax.plot([d1, d2], [0, 0])
+    fig.draw_without_rendering()
+    assert formatter.get_offset() == ''
+    ax.set_xlim(d1, d1 + datetime.timedelta(weeks=3))
+    fig.draw_without_rendering()
+    assert formatter.get_offset() == '1997-Jan'
+    ax.set_xlim(d1 + datetime.timedelta(weeks=7),
+                d1 + datetime.timedelta(weeks=30))
+    fig.draw_without_rendering()
+    assert formatter.get_offset() == '1997'
+    ax.set_xlim(d1, d1 + datetime.timedelta(weeks=520))
+    fig.draw_without_rendering()
+    assert formatter.get_offset() == ''
+
+
+@pytest.mark.parametrize('t_delta, expected', [
+    (datetime.timedelta(weeks=52 * 200),
+     ['$\\mathdefault{%d}$' % (t, ) for t in range(1980, 2201, 20)]),
+    (datetime.timedelta(days=40),
+     ['Jan', '$\\mathdefault{05}$', '$\\mathdefault{09}$',
+      '$\\mathdefault{13}$', '$\\mathdefault{17}$', '$\\mathdefault{21}$',
+      '$\\mathdefault{25}$', '$\\mathdefault{29}$', 'Feb',
+      '$\\mathdefault{05}$', '$\\mathdefault{09}$']),
+    (datetime.timedelta(hours=40),
+     ['Jan$\\mathdefault{{-}01}$', '$\\mathdefault{04{:}00}$',
+      '$\\mathdefault{08{:}00}$', '$\\mathdefault{12{:}00}$',
+      '$\\mathdefault{16{:}00}$', '$\\mathdefault{20{:}00}$',
+      'Jan$\\mathdefault{{-}02}$', '$\\mathdefault{04{:}00}$',
+      '$\\mathdefault{08{:}00}$', '$\\mathdefault{12{:}00}$',
+      '$\\mathdefault{16{:}00}$']),
+    (datetime.timedelta(seconds=2),
+     ['$\\mathdefault{59.5}$', '$\\mathdefault{00{:}00}$',
+      '$\\mathdefault{00.5}$', '$\\mathdefault{01.0}$',
+      '$\\mathdefault{01.5}$', '$\\mathdefault{02.0}$',
+      '$\\mathdefault{02.5}$']),
+])
+def test_concise_formatter_usetex(t_delta, expected):
+    d1 = datetime.datetime(1997, 1, 1)
+    d2 = d1 + t_delta
+
+    locator = mdates.AutoDateLocator(interval_multiples=True)
+    locator.create_dummy_axis()
+    locator.axis.set_view_interval(mdates.date2num(d1), mdates.date2num(d2))
+
+    formatter = mdates.ConciseDateFormatter(locator, usetex=True)
+    assert formatter.format_ticks(locator()) == expected
+
+
+def test_concise_formatter_formats():
+    formats = ['%Y', '%m/%Y', 'day: %d',
+               '%H hr %M min', '%H hr %M min', '%S.%f sec']
+
+    def _create_auto_date_locator(date1, date2):
+        fig, ax = plt.subplots()
+
+        locator = mdates.AutoDateLocator(interval_multiples=True)
+        formatter = mdates.ConciseDateFormatter(locator, formats=formats)
+        ax.yaxis.set_major_locator(locator)
+        ax.yaxis.set_major_formatter(formatter)
+        ax.set_ylim(date1, date2)
+        fig.canvas.draw()
+        sts = [st.get_text() for st in ax.get_yticklabels()]
+        return sts
+
+    d1 = datetime.datetime(1997, 1, 1)
+    results = (
+        [datetime.timedelta(weeks=52 * 200), [str(t) for t in range(1980,
+         2201, 20)]],
+        [datetime.timedelta(weeks=52), [
+            '1997', '02/1997', '03/1997', '04/1997', '05/1997', '06/1997',
+            '07/1997', '08/1997', '09/1997', '10/1997', '11/1997', '12/1997',
+            ]],
+        [datetime.timedelta(days=141), [
+            '01/1997', 'day: 15', '02/1997', 'day: 15', '03/1997', 'day: 15',
+            '04/1997', 'day: 15', '05/1997', 'day: 15',
+            ]],
+        [datetime.timedelta(days=40), [
+            '01/1997', 'day: 05', 'day: 09', 'day: 13', 'day: 17', 'day: 21',
+            'day: 25', 'day: 29', '02/1997', 'day: 05', 'day: 09',
+            ]],
+        [datetime.timedelta(hours=40), [
+            'day: 01', '04 hr 00 min', '08 hr 00 min', '12 hr 00 min',
+            '16 hr 00 min', '20 hr 00 min', 'day: 02', '04 hr 00 min',
+            '08 hr 00 min', '12 hr 00 min', '16 hr 00 min',
+            ]],
+        [datetime.timedelta(minutes=20), ['00 hr 00 min', '00 hr 05 min',
+         '00 hr 10 min', '00 hr 15 min', '00 hr 20 min']],
+        [datetime.timedelta(seconds=40), [
+            '00 hr 00 min', '05.000000 sec', '10.000000 sec',
+            '15.000000 sec', '20.000000 sec', '25.000000 sec',
+            '30.000000 sec', '35.000000 sec', '40.000000 sec',
+            ]],
+        [datetime.timedelta(seconds=2), [
+            '59.500000 sec', '00 hr 00 min', '00.500000 sec', '01.000000 sec',
+            '01.500000 sec', '02.000000 sec', '02.500000 sec',
+            ]],
+        )
+    for t_delta, expected in results:
+        d2 = d1 + t_delta
+        strings = _create_auto_date_locator(d1, d2)
+        assert strings == expected
+
+
+def test_concise_formatter_zformats():
+    zero_formats = ['', "'%y", '%B', '%m-%d', '%S', '%S.%f']
+
+    def _create_auto_date_locator(date1, date2):
+        fig, ax = plt.subplots()
+
+        locator = mdates.AutoDateLocator(interval_multiples=True)
+        formatter = mdates.ConciseDateFormatter(
+            locator, zero_formats=zero_formats)
+        ax.yaxis.set_major_locator(locator)
+        ax.yaxis.set_major_formatter(formatter)
+        ax.set_ylim(date1, date2)
+        fig.canvas.draw()
+        sts = [st.get_text() for st in ax.get_yticklabels()]
+        return sts
+
+    d1 = datetime.datetime(1997, 1, 1)
+    results = ([datetime.timedelta(weeks=52 * 200),
+                [str(t) for t in range(1980, 2201, 20)]
+                ],
+               [datetime.timedelta(weeks=52),
+                ["'97", 'Feb', 'Mar', 'Apr', 'May', 'Jun',
+                    'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
+                ],
+               [datetime.timedelta(days=141),
+                ['January', '15', 'February', '15', 'March',
+                    '15', 'April', '15', 'May', '15']
+                ],
+               [datetime.timedelta(days=40),
+                ['January', '05', '09', '13', '17', '21',
+                    '25', '29', 'February', '05', '09']
+                ],
+               [datetime.timedelta(hours=40),
+                ['01-01', '04:00', '08:00', '12:00', '16:00', '20:00',
+                    '01-02', '04:00', '08:00', '12:00', '16:00']
+                ],
+               [datetime.timedelta(minutes=20),
+                ['00', '00:05', '00:10', '00:15', '00:20']
+                ],
+               [datetime.timedelta(seconds=40),
+                ['00', '05', '10', '15', '20', '25', '30', '35', '40']
+                ],
+               [datetime.timedelta(seconds=2),
+                ['59.5', '00.0', '00.5', '01.0', '01.5', '02.0', '02.5']
+                ],
+               )
+    for t_delta, expected in results:
+        d2 = d1 + t_delta
+        strings = _create_auto_date_locator(d1, d2)
+        assert strings == expected
+
+
+def test_concise_formatter_tz():
+    def _create_auto_date_locator(date1, date2, tz):
+        fig, ax = plt.subplots()
+
+        locator = mdates.AutoDateLocator(interval_multiples=True)
+        formatter = mdates.ConciseDateFormatter(locator, tz=tz)
+        ax.yaxis.set_major_locator(locator)
+        ax.yaxis.set_major_formatter(formatter)
+        ax.set_ylim(date1, date2)
+        fig.canvas.draw()
+        sts = [st.get_text() for st in ax.get_yticklabels()]
+        return sts, ax.yaxis.get_offset_text().get_text()
+
+    d1 = datetime.datetime(1997, 1, 1).replace(tzinfo=datetime.timezone.utc)
+    results = ([datetime.timedelta(hours=40),
+                ['03:00', '07:00', '11:00', '15:00', '19:00', '23:00',
+                 '03:00', '07:00', '11:00', '15:00', '19:00'],
+                "1997-Jan-02"
+                ],
+               [datetime.timedelta(minutes=20),
+                ['03:00', '03:05', '03:10', '03:15', '03:20'],
+                "1997-Jan-01"
+                ],
+               [datetime.timedelta(seconds=40),
+                ['03:00', '05', '10', '15', '20', '25', '30', '35', '40'],
+                "1997-Jan-01 03:00"
+                ],
+               [datetime.timedelta(seconds=2),
+                ['59.5', '03:00', '00.5', '01.0', '01.5', '02.0', '02.5'],
+                "1997-Jan-01 03:00"
+                ],
+               )
+
+    new_tz = datetime.timezone(datetime.timedelta(hours=3))
+    for t_delta, expected_strings, expected_offset in results:
+        d2 = d1 + t_delta
+        strings, offset = _create_auto_date_locator(d1, d2, new_tz)
+        assert strings == expected_strings
+        assert offset == expected_offset
+
+
+def test_auto_date_locator_intmult_tz():
+    def _create_auto_date_locator(date1, date2, tz):
+        locator = mdates.AutoDateLocator(interval_multiples=True, tz=tz)
+        locator.create_dummy_axis()
+        locator.axis.set_view_interval(*mdates.date2num([date1, date2]))
+        return locator
+
+    results = ([datetime.timedelta(weeks=52*200),
+                ['1980-01-01 00:00:00-08:00', '2000-01-01 00:00:00-08:00',
+                 '2020-01-01 00:00:00-08:00', '2040-01-01 00:00:00-08:00',
+                 '2060-01-01 00:00:00-08:00', '2080-01-01 00:00:00-08:00',
+                 '2100-01-01 00:00:00-08:00', '2120-01-01 00:00:00-08:00',
+                 '2140-01-01 00:00:00-08:00', '2160-01-01 00:00:00-08:00',
+                 '2180-01-01 00:00:00-08:00', '2200-01-01 00:00:00-08:00']
+                ],
+               [datetime.timedelta(weeks=52),
+                ['1997-01-01 00:00:00-08:00', '1997-02-01 00:00:00-08:00',
+                 '1997-03-01 00:00:00-08:00', '1997-04-01 00:00:00-08:00',
+                 '1997-05-01 00:00:00-07:00', '1997-06-01 00:00:00-07:00',
+                 '1997-07-01 00:00:00-07:00', '1997-08-01 00:00:00-07:00',
+                 '1997-09-01 00:00:00-07:00', '1997-10-01 00:00:00-07:00',
+                 '1997-11-01 00:00:00-08:00', '1997-12-01 00:00:00-08:00']
+                ],
+               [datetime.timedelta(days=141),
+                ['1997-01-01 00:00:00-08:00', '1997-01-15 00:00:00-08:00',
+                 '1997-02-01 00:00:00-08:00', '1997-02-15 00:00:00-08:00',
+                 '1997-03-01 00:00:00-08:00', '1997-03-15 00:00:00-08:00',
+                 '1997-04-01 00:00:00-08:00', '1997-04-15 00:00:00-07:00',
+                 '1997-05-01 00:00:00-07:00', '1997-05-15 00:00:00-07:00']
+                ],
+               [datetime.timedelta(days=40),
+                ['1997-01-01 00:00:00-08:00', '1997-01-05 00:00:00-08:00',
+                 '1997-01-09 00:00:00-08:00', '1997-01-13 00:00:00-08:00',
+                 '1997-01-17 00:00:00-08:00', '1997-01-21 00:00:00-08:00',
+                 '1997-01-25 00:00:00-08:00', '1997-01-29 00:00:00-08:00',
+                 '1997-02-01 00:00:00-08:00', '1997-02-05 00:00:00-08:00',
+                 '1997-02-09 00:00:00-08:00']
+                ],
+               [datetime.timedelta(hours=40),
+                ['1997-01-01 00:00:00-08:00', '1997-01-01 04:00:00-08:00',
+                 '1997-01-01 08:00:00-08:00', '1997-01-01 12:00:00-08:00',
+                 '1997-01-01 16:00:00-08:00', '1997-01-01 20:00:00-08:00',
+                 '1997-01-02 00:00:00-08:00', '1997-01-02 04:00:00-08:00',
+                 '1997-01-02 08:00:00-08:00', '1997-01-02 12:00:00-08:00',
+                 '1997-01-02 16:00:00-08:00']
+                ],
+               [datetime.timedelta(minutes=20),
+                ['1997-01-01 00:00:00-08:00', '1997-01-01 00:05:00-08:00',
+                 '1997-01-01 00:10:00-08:00', '1997-01-01 00:15:00-08:00',
+                 '1997-01-01 00:20:00-08:00']
+                ],
+               [datetime.timedelta(seconds=40),
+                ['1997-01-01 00:00:00-08:00', '1997-01-01 00:00:05-08:00',
+                 '1997-01-01 00:00:10-08:00', '1997-01-01 00:00:15-08:00',
+                 '1997-01-01 00:00:20-08:00', '1997-01-01 00:00:25-08:00',
+                 '1997-01-01 00:00:30-08:00', '1997-01-01 00:00:35-08:00',
+                 '1997-01-01 00:00:40-08:00']
+                ]
+               )
+
+    tz = dateutil.tz.gettz('Canada/Pacific')
+    d1 = datetime.datetime(1997, 1, 1, tzinfo=tz)
+    for t_delta, expected in results:
+        with rc_context({'_internal.classic_mode': False}):
+            d2 = d1 + t_delta
+            locator = _create_auto_date_locator(d1, d2, tz)
+            st = list(map(str, mdates.num2date(locator(), tz=tz)))
+            assert st == expected
+
+
+@image_comparison(['date_inverted_limit.png'])
 def test_date_inverted_limit():
     # test ax hline with date inputs
     t0 = datetime.datetime(2009, 1, 20)
     tf = datetime.datetime(2009, 1, 31)
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.axhline(t0, color="blue", lw=3)
     ax.set_ylim(t0 - datetime.timedelta(days=5),
                 tf + datetime.timedelta(days=5))
@@ -306,6 +966,448 @@ def test_date_inverted_limit():
     fig.subplots_adjust(left=0.25)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def _test_date2num_dst(date_range, tz_convert):
+    # Timezones
+
+    BRUSSELS = dateutil.tz.gettz('Europe/Brussels')
+    UTC = mdates.UTC
+
+    # Create a list of timezone-aware datetime objects in UTC
+    # Interval is 0b0.0000011 days, to prevent float rounding issues
+    dtstart = datetime.datetime(2014, 3, 30, 0, 0, tzinfo=UTC)
+    interval = datetime.timedelta(minutes=33, seconds=45)
+    interval_days = interval.seconds / 86400
+    N = 8
+
+    dt_utc = date_range(start=dtstart, freq=interval, periods=N)
+    dt_bxl = tz_convert(dt_utc, BRUSSELS)
+    t0 = 735322.0 + mdates.date2num(np.datetime64('0000-12-31'))
+    expected_ordinalf = [t0 + (i * interval_days) for i in range(N)]
+    actual_ordinalf = list(mdates.date2num(dt_bxl))
+
+    assert actual_ordinalf == expected_ordinalf
+
+
+def test_date2num_dst():
+    # Test for github issue #3896, but in date2num around DST transitions
+    # with a timezone-aware pandas date_range object.
+
+    class dt_tzaware(datetime.datetime):
+        """
+        This bug specifically occurs because of the normalization behavior of
+        pandas Timestamp objects, so in order to replicate it, we need a
+        datetime-like object that applies timezone normalization after
+        subtraction.
+        """
+
+        def __sub__(self, other):
+            r = super().__sub__(other)
+            tzinfo = getattr(r, 'tzinfo', None)
+
+            if tzinfo is not None:
+                localizer = getattr(tzinfo, 'normalize', None)
+                if localizer is not None:
+                    r = tzinfo.normalize(r)
+
+            if isinstance(r, datetime.datetime):
+                r = self.mk_tzaware(r)
+
+            return r
+
+        def __add__(self, other):
+            return self.mk_tzaware(super().__add__(other))
+
+        def astimezone(self, tzinfo):
+            dt = super().astimezone(tzinfo)
+            return self.mk_tzaware(dt)
+
+        @classmethod
+        def mk_tzaware(cls, datetime_obj):
+            kwargs = {}
+            attrs = ('year',
+                     'month',
+                     'day',
+                     'hour',
+                     'minute',
+                     'second',
+                     'microsecond',
+                     'tzinfo')
+
+            for attr in attrs:
+                val = getattr(datetime_obj, attr, None)
+                if val is not None:
+                    kwargs[attr] = val
+
+            return cls(**kwargs)
+
+    # Define a date_range function similar to pandas.date_range
+    def date_range(start, freq, periods):
+        dtstart = dt_tzaware.mk_tzaware(start)
+
+        return [dtstart + (i * freq) for i in range(periods)]
+
+    # Define a tz_convert function that converts a list to a new timezone.
+    def tz_convert(dt_list, tzinfo):
+        return [d.astimezone(tzinfo) for d in dt_list]
+
+    _test_date2num_dst(date_range, tz_convert)
+
+
+def test_date2num_dst_pandas(pd):
+    # Test for github issue #3896, but in date2num around DST transitions
+    # with a timezone-aware pandas date_range object.
+
+    def tz_convert(*args):
+        return pd.DatetimeIndex.tz_convert(*args).astype(object)
+
+    _test_date2num_dst(pd.date_range, tz_convert)
+
+
+def _test_rrulewrapper(attach_tz, get_tz):
+    SYD = get_tz('Australia/Sydney')
+
+    dtstart = attach_tz(datetime.datetime(2017, 4, 1, 0), SYD)
+    dtend = attach_tz(datetime.datetime(2017, 4, 4, 0), SYD)
+
+    rule = mdates.rrulewrapper(freq=dateutil.rrule.DAILY, dtstart=dtstart)
+
+    act = rule.between(dtstart, dtend)
+    exp = [datetime.datetime(2017, 4, 1, 13, tzinfo=dateutil.tz.tzutc()),
+           datetime.datetime(2017, 4, 2, 14, tzinfo=dateutil.tz.tzutc())]
+
+    assert act == exp
+
+
+def test_rrulewrapper():
+    def attach_tz(dt, zi):
+        return dt.replace(tzinfo=zi)
+
+    _test_rrulewrapper(attach_tz, dateutil.tz.gettz)
+
+    SYD = dateutil.tz.gettz('Australia/Sydney')
+    dtstart = datetime.datetime(2017, 4, 1, 0)
+    dtend = datetime.datetime(2017, 4, 4, 0)
+    rule = mdates.rrulewrapper(freq=dateutil.rrule.DAILY, dtstart=dtstart,
+                               tzinfo=SYD, until=dtend)
+    assert rule.after(dtstart) == datetime.datetime(2017, 4, 2, 0, 0,
+                                                    tzinfo=SYD)
+    assert rule.before(dtend) == datetime.datetime(2017, 4, 3, 0, 0,
+                                                   tzinfo=SYD)
+
+    # Test parts of __getattr__
+    assert rule._base_tzinfo == SYD
+    assert rule._interval == 1
+
+
+@pytest.mark.pytz
+def test_rrulewrapper_pytz():
+    # Test to make sure pytz zones are supported in rrules
+    pytz = pytest.importorskip("pytz")
+
+    def attach_tz(dt, zi):
+        return zi.localize(dt)
+
+    _test_rrulewrapper(attach_tz, pytz.timezone)
+
+
+@pytest.mark.pytz
+def test_yearlocator_pytz():
+    pytz = pytest.importorskip("pytz")
+
+    tz = pytz.timezone('America/New_York')
+    x = [tz.localize(datetime.datetime(2010, 1, 1))
+         + datetime.timedelta(i) for i in range(2000)]
+    locator = mdates.AutoDateLocator(interval_multiples=True, tz=tz)
+    locator.create_dummy_axis()
+    locator.axis.set_view_interval(mdates.date2num(x[0])-1.0,
+                                   mdates.date2num(x[-1])+1.0)
+    t = np.array([733408.208333, 733773.208333, 734138.208333,
+                  734503.208333, 734869.208333, 735234.208333, 735599.208333])
+    # convert to new epoch from old...
+    t = t + mdates.date2num(np.datetime64('0000-12-31'))
+    np.testing.assert_allclose(t, locator())
+    expected = ['2009-01-01 00:00:00-05:00',
+                '2010-01-01 00:00:00-05:00', '2011-01-01 00:00:00-05:00',
+                '2012-01-01 00:00:00-05:00', '2013-01-01 00:00:00-05:00',
+                '2014-01-01 00:00:00-05:00', '2015-01-01 00:00:00-05:00']
+    st = list(map(str, mdates.num2date(locator(), tz=tz)))
+    assert st == expected
+    assert np.allclose(locator.tick_values(x[0], x[1]), np.array(
+        [14610.20833333, 14610.33333333, 14610.45833333, 14610.58333333,
+         14610.70833333, 14610.83333333, 14610.95833333, 14611.08333333,
+         14611.20833333]))
+    assert np.allclose(locator.get_locator(x[1], x[0]).tick_values(x[0], x[1]),
+                       np.array(
+        [14610.20833333, 14610.33333333, 14610.45833333, 14610.58333333,
+         14610.70833333, 14610.83333333, 14610.95833333, 14611.08333333,
+         14611.20833333]))
+
+
+def test_YearLocator():
+    def _create_year_locator(date1, date2, **kwargs):
+        locator = mdates.YearLocator(**kwargs)
+        locator.create_dummy_axis()
+        locator.axis.set_view_interval(mdates.date2num(date1),
+                                       mdates.date2num(date2))
+        return locator
+
+    d1 = datetime.datetime(1990, 1, 1)
+    results = ([datetime.timedelta(weeks=52 * 200),
+                {'base': 20, 'month': 1, 'day': 1},
+                ['1980-01-01 00:00:00+00:00', '2000-01-01 00:00:00+00:00',
+                 '2020-01-01 00:00:00+00:00', '2040-01-01 00:00:00+00:00',
+                 '2060-01-01 00:00:00+00:00', '2080-01-01 00:00:00+00:00',
+                 '2100-01-01 00:00:00+00:00', '2120-01-01 00:00:00+00:00',
+                 '2140-01-01 00:00:00+00:00', '2160-01-01 00:00:00+00:00',
+                 '2180-01-01 00:00:00+00:00', '2200-01-01 00:00:00+00:00']
+                ],
+               [datetime.timedelta(weeks=52 * 200),
+                {'base': 20, 'month': 5, 'day': 16},
+                ['1980-05-16 00:00:00+00:00', '2000-05-16 00:00:00+00:00',
+                 '2020-05-16 00:00:00+00:00', '2040-05-16 00:00:00+00:00',
+                 '2060-05-16 00:00:00+00:00', '2080-05-16 00:00:00+00:00',
+                 '2100-05-16 00:00:00+00:00', '2120-05-16 00:00:00+00:00',
+                 '2140-05-16 00:00:00+00:00', '2160-05-16 00:00:00+00:00',
+                 '2180-05-16 00:00:00+00:00', '2200-05-16 00:00:00+00:00']
+                ],
+               [datetime.timedelta(weeks=52 * 5),
+                {'base': 20, 'month': 9, 'day': 25},
+                ['1980-09-25 00:00:00+00:00', '2000-09-25 00:00:00+00:00']
+                ],
+               )
+
+    for delta, arguments, expected in results:
+        d2 = d1 + delta
+        locator = _create_year_locator(d1, d2, **arguments)
+        assert list(map(str, mdates.num2date(locator()))) == expected
+
+
+def test_DayLocator():
+    with pytest.raises(ValueError):
+        mdates.DayLocator(interval=-1)
+    with pytest.raises(ValueError):
+        mdates.DayLocator(interval=-1.5)
+    with pytest.raises(ValueError):
+        mdates.DayLocator(interval=0)
+    with pytest.raises(ValueError):
+        mdates.DayLocator(interval=1.3)
+    mdates.DayLocator(interval=1.0)
+
+
+def test_tz_utc():
+    dt = datetime.datetime(1970, 1, 1, tzinfo=mdates.UTC)
+    assert dt.tzname() == 'UTC'
+
+
+@pytest.mark.parametrize("x, tdelta",
+                         [(1, datetime.timedelta(days=1)),
+                          ([1, 1.5], [datetime.timedelta(days=1),
+                                      datetime.timedelta(days=1.5)])])
+def test_num2timedelta(x, tdelta):
+    dt = mdates.num2timedelta(x)
+    assert dt == tdelta
+
+
+def test_datetime64_in_list():
+    dt = [np.datetime64('2000-01-01'), np.datetime64('2001-01-01')]
+    dn = mdates.date2num(dt)
+    # convert fixed values from old to new epoch
+    t = (np.array([730120.,  730486.]) +
+         mdates.date2num(np.datetime64('0000-12-31')))
+    np.testing.assert_equal(dn, t)
+
+
+def test_change_epoch():
+    date = np.datetime64('2000-01-01')
+
+    # use private method to clear the epoch and allow it to be set...
+    mdates._reset_epoch_test_example()
+    mdates.get_epoch()  # Set default.
+
+    with pytest.raises(RuntimeError):
+        # this should fail here because there is a sentinel on the epoch
+        # if the epoch has been used then it cannot be set.
+        mdates.set_epoch('0000-01-01')
+
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('1970-01-01')
+    dt = (date - np.datetime64('1970-01-01')).astype('datetime64[D]')
+    dt = dt.astype('int')
+    np.testing.assert_equal(mdates.date2num(date), float(dt))
+
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('0000-12-31')
+    np.testing.assert_equal(mdates.date2num(date), 730120.0)
+
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('1970-01-01T01:00:00')
+    np.testing.assert_allclose(mdates.date2num(date), dt - 1./24.)
+    mdates._reset_epoch_test_example()
+    mdates.set_epoch('1970-01-01T00:00:00')
+    np.testing.assert_allclose(
+        mdates.date2num(np.datetime64('1970-01-01T12:00:00')),
+        0.5)
+
+
+def test_warn_notintervals():
+    dates = np.arange('2001-01-10', '2001-03-04', dtype='datetime64[D]')
+    locator = mdates.AutoDateLocator(interval_multiples=False)
+    locator.intervald[3] = [2]
+    locator.create_dummy_axis()
+    locator.axis.set_view_interval(mdates.date2num(dates[0]),
+                                   mdates.date2num(dates[-1]))
+    with pytest.warns(UserWarning, match="AutoDateLocator was unable"):
+        locs = locator()
+
+
+def test_change_converter():
+    plt.rcParams['date.converter'] = 'concise'
+    dates = np.arange('2020-01-01', '2020-05-01', dtype='datetime64[D]')
+    fig, ax = plt.subplots()
+
+    ax.plot(dates, np.arange(len(dates)))
+    fig.canvas.draw()
+    assert ax.get_xticklabels()[0].get_text() == 'Jan'
+    assert ax.get_xticklabels()[1].get_text() == '15'
+
+    plt.rcParams['date.converter'] = 'auto'
+    fig, ax = plt.subplots()
+
+    ax.plot(dates, np.arange(len(dates)))
+    fig.canvas.draw()
+    assert ax.get_xticklabels()[0].get_text() == 'Jan 01 2020'
+    assert ax.get_xticklabels()[1].get_text() == 'Jan 15 2020'
+    with pytest.raises(ValueError):
+        plt.rcParams['date.converter'] = 'boo'
+
+
+def test_change_interval_multiples():
+    plt.rcParams['date.interval_multiples'] = False
+    dates = np.arange('2020-01-10', '2020-05-01', dtype='datetime64[D]')
+    fig, ax = plt.subplots()
+
+    ax.plot(dates, np.arange(len(dates)))
+    fig.canvas.draw()
+    assert ax.get_xticklabels()[0].get_text() == 'Jan 10 2020'
+    assert ax.get_xticklabels()[1].get_text() == 'Jan 24 2020'
+
+    plt.rcParams['date.interval_multiples'] = 'True'
+    fig, ax = plt.subplots()
+
+    ax.plot(dates, np.arange(len(dates)))
+    fig.canvas.draw()
+    assert ax.get_xticklabels()[0].get_text() == 'Jan 15 2020'
+    assert ax.get_xticklabels()[1].get_text() == 'Feb 01 2020'
+
+
+def test_DateLocator():
+    locator = mdates.DateLocator()
+    # Test nonsingular
+    assert locator.nonsingular(0, np.inf) == (0, 1)
+    assert locator.nonsingular(0, 1) == (0, 1)
+    assert locator.nonsingular(1, 0) == (0, 1)
+    assert locator.nonsingular(0, 0) == (-2, 2)
+    locator.create_dummy_axis()
+    # default values
+    assert locator.datalim_to_dt() == (
+        datetime.datetime(1970, 1, 1, 0, 0, tzinfo=datetime.timezone.utc),
+        datetime.datetime(1970, 1, 2, 0, 0, tzinfo=datetime.timezone.utc))
+
+    # Check default is UTC
+    assert locator.tz == mdates.UTC
+    tz_str = 'Iceland'
+    iceland_tz = dateutil.tz.gettz(tz_str)
+    # Check not Iceland
+    assert locator.tz != iceland_tz
+    # Set it to Iceland
+    locator.set_tzinfo('Iceland')
+    # Check now it is Iceland
+    assert locator.tz == iceland_tz
+    locator.create_dummy_axis()
+    locator.axis.set_data_interval(*mdates.date2num(["2022-01-10",
+                                                     "2022-01-08"]))
+    assert locator.datalim_to_dt() == (
+        datetime.datetime(2022, 1, 8, 0, 0, tzinfo=iceland_tz),
+        datetime.datetime(2022, 1, 10, 0, 0, tzinfo=iceland_tz))
+
+    # Set rcParam
+    plt.rcParams['timezone'] = tz_str
+
+    # Create a new one in a similar way
+    locator = mdates.DateLocator()
+    # Check now it is Iceland
+    assert locator.tz == iceland_tz
+
+    # Test invalid tz values
+    with pytest.raises(ValueError, match="Aiceland is not a valid timezone"):
+        mdates.DateLocator(tz="Aiceland")
+    with pytest.raises(TypeError,
+                       match="tz must be string or tzinfo subclass."):
+        mdates.DateLocator(tz=1)
+
+
+def test_datestr2num():
+    assert mdates.datestr2num('2022-01-10') == 19002.0
+    dt = datetime.date(year=2022, month=1, day=10)
+    assert mdates.datestr2num('2022-01', default=dt) == 19002.0
+    assert np.all(mdates.datestr2num(
+        ['2022-01', '2022-02'], default=dt
+        ) == np.array([19002., 19033.]))
+    assert mdates.datestr2num([]).size == 0
+    assert mdates.datestr2num([], datetime.date(year=2022,
+                                                month=1, day=10)).size == 0
+
+
+@pytest.mark.parametrize('kwarg',
+                         ('formats', 'zero_formats', 'offset_formats'))
+def test_concise_formatter_exceptions(kwarg):
+    locator = mdates.AutoDateLocator()
+    kwargs = {kwarg: ['', '%Y']}
+    match = f"{kwarg} argument must be a list"
+    with pytest.raises(ValueError, match=match):
+        mdates.ConciseDateFormatter(locator, **kwargs)
+
+
+def test_concise_formatter_call():
+    locator = mdates.AutoDateLocator()
+    formatter = mdates.ConciseDateFormatter(locator)
+    assert formatter(19002.0) == '2022'
+    assert formatter.format_data_short(19002.0) == '2022-01-10 00:00:00'
+
+
+def test_datetime_masked():
+    # make sure that all-masked data falls back to the viewlim
+    # set in convert.axisinfo....
+    x = np.array([datetime.datetime(2017, 1, n) for n in range(1, 6)])
+    y = np.array([1, 2, 3, 4, 5])
+    m = np.ma.masked_greater(y, 0)
+
+    fig, ax = plt.subplots()
+    ax.plot(x, m)
+    assert ax.get_xlim() == (0, 1)
+
+
+@pytest.mark.parametrize('val', (-1000000, 10000000))
+def test_num2date_error(val):
+    with pytest.raises(ValueError, match=f"Date ordinal {val} converts"):
+        mdates.num2date(val)
+
+
+def test_num2date_roundoff():
+    assert mdates.num2date(100000.0000578702) == datetime.datetime(
+        2243, 10, 17, 0, 0, 4, 999980, tzinfo=datetime.timezone.utc)
+    # Slightly larger, steps of 20 microseconds
+    assert mdates.num2date(100000.0000578703) == datetime.datetime(
+        2243, 10, 17, 0, 0, 5, tzinfo=datetime.timezone.utc)
+
+
+def test_DateFormatter_settz():
+    time = mdates.date2num(datetime.datetime(2011, 1, 1, 0, 0,
+                                             tzinfo=mdates.UTC))
+    formatter = mdates.DateFormatter('%Y-%b-%d %H:%M')
+    # Default UTC
+    assert formatter(time) == '2011-Jan-01 00:00'
+
+    # Set tzinfo
+    formatter.set_tzinfo('Pacific/Kiritimati')
+    assert formatter(time) == '2011-Jan-01 14:00'
diff --git a/lib/matplotlib/tests/test_datetime.py b/lib/matplotlib/tests/test_datetime.py
new file mode 100644
index 000000000000..821552befcf0
--- /dev/null
+++ b/lib/matplotlib/tests/test_datetime.py
@@ -0,0 +1,845 @@
+import datetime
+import numpy as np
+
+import pytest
+
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+
+
+class TestDatetimePlotting:
+    @mpl.style.context("default")
+    def test_annotate(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 1, layout="constrained")
+
+        start_date = datetime.datetime(2023, 10, 1)
+        dates = [start_date + datetime.timedelta(days=i) for i in range(31)]
+        data = list(range(1, 32))
+        test_text = "Test Text"
+
+        ax1.plot(dates, data)
+        ax1.annotate(text=test_text, xy=(dates[15], data[15]))
+        ax2.plot(data, dates)
+        ax2.annotate(text=test_text, xy=(data[5], dates[26]))
+        ax3.plot(dates, dates)
+        ax3.annotate(text=test_text, xy=(dates[15], dates[3]))
+        ax4.plot(dates, dates)
+        ax4.annotate(text=test_text, xy=(dates[5], dates[30]),
+                        xytext=(dates[1], dates[7]), arrowprops=dict(facecolor='red'))
+
+    @pytest.mark.xfail(reason="Test for arrow not written yet")
+    @mpl.style.context("default")
+    def test_arrow(self):
+        fig, ax = plt.subplots()
+        ax.arrow(...)
+
+    @mpl.style.context("default")
+    def test_axhline(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout='constrained')
+        ax1.set_ylim(bottom=datetime.datetime(2020, 4, 1),
+                     top=datetime.datetime(2020, 8, 1))
+        ax2.set_ylim(bottom=np.datetime64('2005-01-01'),
+                     top=np.datetime64('2005-04-01'))
+        ax3.set_ylim(bottom=datetime.datetime(2023, 9, 1),
+                     top=datetime.datetime(2023, 11, 1))
+        ax1.axhline(y=datetime.datetime(2020, 6, 3), xmin=0.5, xmax=0.7)
+        ax2.axhline(np.datetime64('2005-02-25T03:30'), xmin=0.1, xmax=0.9)
+        ax3.axhline(y=datetime.datetime(2023, 10, 24), xmin=0.4, xmax=0.7)
+
+    @mpl.style.context("default")
+    def test_axhspan(self):
+        mpl.rcParams["date.converter"] = 'concise'
+
+        start_date = datetime.datetime(2023, 1, 1)
+        dates = [start_date + datetime.timedelta(days=i) for i in range(31)]
+        numbers = list(range(1, 32))
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1,
+                                            constrained_layout=True,
+                                            figsize=(10, 12))
+
+        ax1.plot(dates, numbers, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            ax1.axhspan(ymin=i+1, ymax=i+2, facecolor='green', alpha=0.5)
+        ax1.set_title('Datetime vs. Number')
+        ax1.set_xlabel('Date')
+        ax1.set_ylabel('Number')
+
+        ax2.plot(numbers, dates, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            ymin = start_date + datetime.timedelta(days=i)
+            ymax = ymin + datetime.timedelta(days=1)
+            ax2.axhspan(ymin=ymin, ymax=ymax, facecolor='green', alpha=0.5)
+        ax2.set_title('Number vs. Datetime')
+        ax2.set_xlabel('Number')
+        ax2.set_ylabel('Date')
+
+        ax3.plot(dates, dates, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            ymin = start_date + datetime.timedelta(days=i)
+            ymax = ymin + datetime.timedelta(days=1)
+            ax3.axhspan(ymin=ymin, ymax=ymax, facecolor='green', alpha=0.5)
+        ax3.set_title('Datetime vs. Datetime')
+        ax3.set_xlabel('Date')
+        ax3.set_ylabel('Date')
+
+    @pytest.mark.xfail(reason="Test for axline not written yet")
+    @mpl.style.context("default")
+    def test_axline(self):
+        fig, ax = plt.subplots()
+        ax.axline(...)
+
+    @mpl.style.context("default")
+    def test_axvline(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout='constrained')
+        ax1.set_xlim(left=datetime.datetime(2020, 4, 1),
+                     right=datetime.datetime(2020, 8, 1))
+        ax2.set_xlim(left=np.datetime64('2005-01-01'),
+                     right=np.datetime64('2005-04-01'))
+        ax3.set_xlim(left=datetime.datetime(2023, 9, 1),
+                     right=datetime.datetime(2023, 11, 1))
+        ax1.axvline(x=datetime.datetime(2020, 6, 3), ymin=0.5, ymax=0.7)
+        ax2.axvline(np.datetime64('2005-02-25T03:30'), ymin=0.1, ymax=0.9)
+        ax3.axvline(x=datetime.datetime(2023, 10, 24), ymin=0.4, ymax=0.7)
+
+    @mpl.style.context("default")
+    def test_axvspan(self):
+        mpl.rcParams["date.converter"] = 'concise'
+
+        start_date = datetime.datetime(2023, 1, 1)
+        dates = [start_date + datetime.timedelta(days=i) for i in range(31)]
+        numbers = list(range(1, 32))
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1,
+                                            constrained_layout=True,
+                                            figsize=(10, 12))
+
+        ax1.plot(dates, numbers, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            xmin = start_date + datetime.timedelta(days=i)
+            xmax = xmin + datetime.timedelta(days=1)
+            ax1.axvspan(xmin=xmin, xmax=xmax, facecolor='red', alpha=0.5)
+        ax1.set_title('Datetime vs. Number')
+        ax1.set_xlabel('Date')
+        ax1.set_ylabel('Number')
+
+        ax2.plot(numbers, dates, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            ax2.axvspan(xmin=i+1, xmax=i+2, facecolor='red', alpha=0.5)
+        ax2.set_title('Number vs. Datetime')
+        ax2.set_xlabel('Number')
+        ax2.set_ylabel('Date')
+
+        ax3.plot(dates, dates, marker='o', color='blue')
+        for i in range(0, 31, 2):
+            xmin = start_date + datetime.timedelta(days=i)
+            xmax = xmin + datetime.timedelta(days=1)
+            ax3.axvspan(xmin=xmin, xmax=xmax, facecolor='red', alpha=0.5)
+        ax3.set_title('Datetime vs. Datetime')
+        ax3.set_xlabel('Date')
+        ax3.set_ylabel('Date')
+
+    @mpl.style.context("default")
+    def test_bar(self):
+        mpl.rcParams["date.converter"] = "concise"
+
+        fig, (ax1, ax2) = plt.subplots(2, 1, layout="constrained")
+
+        x_dates = np.array(
+            [
+                datetime.datetime(2020, 6, 30),
+                datetime.datetime(2020, 7, 22),
+                datetime.datetime(2020, 8, 3),
+                datetime.datetime(2020, 9, 14),
+            ],
+            dtype=np.datetime64,
+        )
+        x_ranges = [8800, 2600, 8500, 7400]
+
+        x = np.datetime64(datetime.datetime(2020, 6, 1))
+        ax1.bar(x_dates, x_ranges, width=np.timedelta64(4, "D"))
+        ax2.bar(np.arange(4), x_dates - x, bottom=x)
+
+    @mpl.style.context("default")
+    def test_bar_label(self):
+        # Generate some example data with dateTime inputs
+        date_list = [datetime.datetime(2023, 1, 1) +
+                     datetime.timedelta(days=i) for i in range(5)]
+        values = [10, 20, 15, 25, 30]
+
+        # Creating the plot
+        fig, ax = plt.subplots(1, 1, figsize=(10, 8), layout='constrained')
+        bars = ax.bar(date_list, values)
+
+        # Add labels to the bars using bar_label
+        ax.bar_label(bars, labels=[f'{val}%' for val in values],
+                     label_type='edge', color='black')
+
+    @mpl.style.context("default")
+    def test_barbs(self):
+        plt.rcParams["date.converter"] = 'concise'
+
+        start_date = datetime.datetime(2022, 2, 8, 22)
+        dates = [start_date + datetime.timedelta(hours=i) for i in range(12)]
+
+        numbers = np.sin(np.linspace(0, 2 * np.pi, 12))
+
+        u = np.ones(12) * 10
+        v = np.arange(0, 120, 10)
+
+        fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 6))
+
+        axes[0].barbs(dates, numbers, u, v, length=7)
+        axes[0].set_title('Datetime vs. Numeric Data')
+        axes[0].set_xlabel('Datetime')
+        axes[0].set_ylabel('Numeric Data')
+
+        axes[1].barbs(numbers, dates, u, v, length=7)
+        axes[1].set_title('Numeric vs. Datetime Data')
+        axes[1].set_xlabel('Numeric Data')
+        axes[1].set_ylabel('Datetime')
+
+    @mpl.style.context("default")
+    def test_barh(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2) = plt.subplots(2, 1, layout='constrained')
+        birth_date = np.array([datetime.datetime(2020, 4, 10),
+                               datetime.datetime(2020, 5, 30),
+                               datetime.datetime(2020, 10, 12),
+                               datetime.datetime(2020, 11, 15)])
+        year_start = datetime.datetime(2020, 1, 1)
+        year_end = datetime.datetime(2020, 12, 31)
+        age = [21, 53, 20, 24]
+        ax1.set_xlabel('Age')
+        ax1.set_ylabel('Birth Date')
+        ax1.barh(birth_date, width=age, height=datetime.timedelta(days=10))
+        ax2.set_xlim(left=year_start, right=year_end)
+        ax2.set_xlabel('Birth Date')
+        ax2.set_ylabel('Order of Birth Dates')
+        ax2.barh(np.arange(4), birth_date-year_start, left=year_start)
+
+    @pytest.mark.xfail(reason="Test for boxplot not written yet")
+    @mpl.style.context("default")
+    def test_boxplot(self):
+        fig, ax = plt.subplots()
+        ax.boxplot(...)
+
+    @mpl.style.context("default")
+    def test_broken_barh(self):
+        # Horizontal bar plot with gaps
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, ax = plt.subplots()
+
+        ax.broken_barh([(datetime.datetime(2023, 1, 4), datetime.timedelta(days=2)),
+                        (datetime.datetime(2023, 1, 8), datetime.timedelta(days=3))],
+                        (10, 9), facecolors='tab:blue')
+        ax.broken_barh([(datetime.datetime(2023, 1, 2), datetime.timedelta(days=1)),
+                         (datetime.datetime(2023, 1, 4), datetime.timedelta(days=4))],
+                         (20, 9), facecolors=('tab:red'))
+
+    @mpl.style.context("default")
+    def test_bxp(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, ax = plt.subplots()
+        data = [{
+            "med": datetime.datetime(2020, 1, 15),
+            "q1": datetime.datetime(2020, 1, 10),
+            "q3": datetime.datetime(2020, 1, 20),
+            "whislo": datetime.datetime(2020, 1, 5),
+            "whishi": datetime.datetime(2020, 1, 25),
+            "fliers": [
+                datetime.datetime(2020, 1, 3),
+                datetime.datetime(2020, 1, 27)
+            ]
+        }]
+        ax.bxp(data, orientation='horizontal')
+        ax.xaxis.set_major_formatter(mpl.dates.DateFormatter("%Y-%m-%d"))
+        ax.set_title('Box plot with datetime data')
+
+    @pytest.mark.xfail(reason="Test for clabel not written yet")
+    @mpl.style.context("default")
+    def test_clabel(self):
+        fig, ax = plt.subplots()
+        ax.clabel(...)
+
+    @mpl.style.context("default")
+    def test_contour(self):
+        mpl.rcParams["date.converter"] = "concise"
+        range_threshold = 10
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")
+
+        x_dates = np.array(
+            [datetime.datetime(2023, 10, delta) for delta in range(1, range_threshold)]
+        )
+        y_dates = np.array(
+            [datetime.datetime(2023, 10, delta) for delta in range(1, range_threshold)]
+        )
+        x_ranges = np.array(range(1, range_threshold))
+        y_ranges = np.array(range(1, range_threshold))
+
+        X_dates, Y_dates = np.meshgrid(x_dates, y_dates)
+        X_ranges, Y_ranges = np.meshgrid(x_ranges, y_ranges)
+
+        Z_ranges = np.cos(X_ranges / 4) + np.sin(Y_ranges / 4)
+
+        ax1.contour(X_dates, Y_dates, Z_ranges)
+        ax2.contour(X_dates, Y_ranges, Z_ranges)
+        ax3.contour(X_ranges, Y_dates, Z_ranges)
+
+    @mpl.style.context("default")
+    def test_contourf(self):
+        mpl.rcParams["date.converter"] = "concise"
+        range_threshold = 10
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")
+
+        x_dates = np.array(
+            [datetime.datetime(2023, 10, delta) for delta in range(1, range_threshold)]
+        )
+        y_dates = np.array(
+            [datetime.datetime(2023, 10, delta) for delta in range(1, range_threshold)]
+        )
+        x_ranges = np.array(range(1, range_threshold))
+        y_ranges = np.array(range(1, range_threshold))
+
+        X_dates, Y_dates = np.meshgrid(x_dates, y_dates)
+        X_ranges, Y_ranges = np.meshgrid(x_ranges, y_ranges)
+
+        Z_ranges = np.cos(X_ranges / 4) + np.sin(Y_ranges / 4)
+
+        ax1.contourf(X_dates, Y_dates, Z_ranges)
+        ax2.contourf(X_dates, Y_ranges, Z_ranges)
+        ax3.contourf(X_ranges, Y_dates, Z_ranges)
+
+    @mpl.style.context("default")
+    def test_errorbar(self):
+        mpl.rcParams["date.converter"] = "concise"
+        fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 1, layout="constrained")
+        limit = 7
+        start_date = datetime.datetime(2023, 1, 1)
+
+        x_dates = np.array([datetime.datetime(2023, 10, d) for d in range(1, limit)])
+        y_dates = np.array([datetime.datetime(2023, 10, d) for d in range(1, limit)])
+        x_date_error = datetime.timedelta(days=1)
+        y_date_error = datetime.timedelta(days=1)
+
+        x_values = list(range(1, limit))
+        y_values = list(range(1, limit))
+        x_value_error = 0.5
+        y_value_error = 0.5
+
+        ax1.errorbar(x_dates, y_values,
+                     yerr=y_value_error,
+                     capsize=10,
+                     barsabove=True,
+                     label='Data')
+        ax2.errorbar(x_values, y_dates,
+                     xerr=x_value_error, yerr=y_date_error,
+                     errorevery=(1, 2),
+                     fmt='-o', label='Data')
+        ax3.errorbar(x_dates, y_dates,
+                     xerr=x_date_error, yerr=y_date_error,
+                     lolims=True, xlolims=True,
+                     label='Data')
+        ax4.errorbar(x_dates, y_values,
+                     xerr=x_date_error, yerr=y_value_error,
+                     uplims=True, xuplims=True,
+                     label='Data')
+
+    @mpl.style.context("default")
+    def test_eventplot(self):
+        mpl.rcParams["date.converter"] = "concise"
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")
+
+        x_dates1 = np.array([datetime.datetime(2020, 6, 30),
+                             datetime.datetime(2020, 7, 22),
+                             datetime.datetime(2020, 8, 3),
+                             datetime.datetime(2020, 9, 14),],
+                            dtype=np.datetime64,
+                            )
+
+        ax1.eventplot(x_dates1)
+
+        np.random.seed(19680801)
+
+        start_date = datetime.datetime(2020, 7, 1)
+        end_date = datetime.datetime(2020, 10, 15)
+        date_range = end_date - start_date
+
+        dates1 = start_date + np.random.rand(30) * date_range
+        dates2 = start_date + np.random.rand(10) * date_range
+        dates3 = start_date + np.random.rand(50) * date_range
+
+        colors1 = ['C1', 'C2', 'C3']
+        lineoffsets1 = np.array([1, 6, 8])
+        linelengths1 = [5, 2, 3]
+
+        ax2.eventplot([dates1, dates2, dates3],
+                      colors=colors1,
+                      lineoffsets=lineoffsets1,
+                      linelengths=linelengths1)
+
+        lineoffsets2 = np.array([
+            datetime.datetime(2020, 7, 1),
+            datetime.datetime(2020, 7, 15),
+            datetime.datetime(2020, 8, 1)
+        ], dtype=np.datetime64)
+
+        ax3.eventplot([dates1, dates2, dates3],
+                      colors=colors1,
+                      lineoffsets=lineoffsets2,
+                      linelengths=linelengths1)
+
+    @mpl.style.context("default")
+    def test_fill(self):
+        mpl.rcParams["date.converter"] = "concise"
+        fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 1, layout="constrained")
+
+        np.random.seed(19680801)
+
+        x_base_date = datetime.datetime(2023, 1, 1)
+        x_dates = [x_base_date]
+        for _ in range(1, 5):
+            x_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            x_dates.append(x_base_date)
+
+        y_base_date = datetime.datetime(2023, 1, 1)
+        y_dates = [y_base_date]
+        for _ in range(1, 5):
+            y_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            y_dates.append(y_base_date)
+
+        x_values = np.random.rand(5) * 5
+        y_values = np.random.rand(5) * 5 - 2
+
+        ax1.fill(x_dates, y_values)
+        ax2.fill(x_values, y_dates)
+        ax3.fill(x_values, y_values)
+        ax4.fill(x_dates, y_dates)
+
+    @mpl.style.context("default")
+    def test_fill_between(self):
+        mpl.rcParams["date.converter"] = "concise"
+        np.random.seed(19680801)
+
+        y_base_date = datetime.datetime(2023, 1, 1)
+        y_dates1 = [y_base_date]
+        for i in range(1, 10):
+            y_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            y_dates1.append(y_base_date)
+
+        y_dates2 = [y_base_date]
+        for i in range(1, 10):
+            y_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            y_dates2.append(y_base_date)
+        x_values = np.random.rand(10) * 10
+        x_values.sort()
+
+        y_values1 = np.random.rand(10) * 10
+        y_values2 = y_values1 + np.random.rand(10) * 10
+        y_values1.sort()
+        y_values2.sort()
+
+        x_base_date = datetime.datetime(2023, 1, 1)
+        x_dates = [x_base_date]
+        for i in range(1, 10):
+            x_base_date += datetime.timedelta(days=np.random.randint(1, 10))
+            x_dates.append(x_base_date)
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")
+
+        ax1.fill_between(x_values, y_dates1, y_dates2)
+        ax2.fill_between(x_dates, y_values1, y_values2)
+        ax3.fill_between(x_dates, y_dates1, y_dates2)
+
+    @mpl.style.context("default")
+    def test_fill_betweenx(self):
+        mpl.rcParams["date.converter"] = "concise"
+        np.random.seed(19680801)
+
+        x_base_date = datetime.datetime(2023, 1, 1)
+        x_dates1 = [x_base_date]
+        for i in range(1, 10):
+            x_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            x_dates1.append(x_base_date)
+
+        x_dates2 = [x_base_date]
+        for i in range(1, 10):
+            x_base_date += datetime.timedelta(days=np.random.randint(1, 5))
+            x_dates2.append(x_base_date)
+        y_values = np.random.rand(10) * 10
+        y_values.sort()
+
+        x_values1 = np.random.rand(10) * 10
+        x_values2 = x_values1 + np.random.rand(10) * 10
+        x_values1.sort()
+        x_values2.sort()
+
+        y_base_date = datetime.datetime(2023, 1, 1)
+        y_dates = [y_base_date]
+        for i in range(1, 10):
+            y_base_date += datetime.timedelta(days=np.random.randint(1, 10))
+            y_dates.append(y_base_date)
+
+        fig, (ax1, ax2, ax3) = plt.subplots(1, 3, layout="constrained")
+
+        ax1.fill_betweenx(y_values, x_dates1, x_dates2)
+        ax2.fill_betweenx(y_dates, x_values1, x_values2)
+        ax3.fill_betweenx(y_dates, x_dates1, x_dates2)
+
+    @pytest.mark.xfail(reason="Test for hexbin not written yet")
+    @mpl.style.context("default")
+    def test_hexbin(self):
+        fig, ax = plt.subplots()
+        ax.hexbin(...)
+
+    @mpl.style.context("default")
+    def test_hist(self):
+        mpl.rcParams["date.converter"] = 'concise'
+
+        start_date = datetime.datetime(2023, 10, 1)
+        time_delta = datetime.timedelta(days=1)
+
+        values1 = np.random.randint(1, 10, 30)
+        values2 = np.random.randint(1, 10, 30)
+        values3 = np.random.randint(1, 10, 30)
+
+        bin_edges = [start_date + i * time_delta for i in range(31)]
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, constrained_layout=True)
+        ax1.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=10,
+            weights=values1
+        )
+        ax2.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=10,
+            weights=values2
+        )
+        ax3.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=10,
+            weights=values3
+        )
+
+        fig, (ax4, ax5, ax6) = plt.subplots(3, 1, constrained_layout=True)
+        ax4.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=bin_edges,
+            weights=values1
+        )
+        ax5.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=bin_edges,
+            weights=values2
+        )
+        ax6.hist(
+            [start_date + i * time_delta for i in range(30)],
+            bins=bin_edges,
+            weights=values3
+        )
+
+    @pytest.mark.xfail(reason="Test for hist2d not written yet")
+    @mpl.style.context("default")
+    def test_hist2d(self):
+        fig, ax = plt.subplots()
+        ax.hist2d(...)
+
+    @mpl.style.context("default")
+    def test_hlines(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, axs = plt.subplots(2, 4, layout='constrained')
+        dateStrs = ['2023-03-08',
+                    '2023-04-09',
+                    '2023-05-13',
+                    '2023-07-28',
+                    '2023-12-24']
+        dates = [datetime.datetime(2023, m*2, 10) for m in range(1, 6)]
+        date_start = [datetime.datetime(2023, 6, d) for d in range(5, 30, 5)]
+        date_end = [datetime.datetime(2023, 7, d) for d in range(5, 30, 5)]
+        npDates = [np.datetime64(s) for s in dateStrs]
+        axs[0, 0].hlines(y=dates,
+                         xmin=[0.1, 0.2, 0.3, 0.4, 0.5],
+                         xmax=[0.5, 0.6, 0.7, 0.8, 0.9])
+        axs[0, 1].hlines(dates,
+                         xmin=datetime.datetime(2020, 5, 10),
+                         xmax=datetime.datetime(2020, 5, 31))
+        axs[0, 2].hlines(dates,
+                         xmin=date_start,
+                         xmax=date_end)
+        axs[0, 3].hlines(dates,
+                         xmin=0.45,
+                         xmax=0.65)
+        axs[1, 0].hlines(y=npDates,
+                         xmin=[0.5, 0.6, 0.7, 0.8, 0.9],
+                         xmax=[0.1, 0.2, 0.3, 0.4, 0.5])
+        axs[1, 2].hlines(y=npDates,
+                         xmin=date_start,
+                         xmax=date_end)
+        axs[1, 1].hlines(npDates,
+                         xmin=datetime.datetime(2020, 5, 10),
+                         xmax=datetime.datetime(2020, 5, 31))
+        axs[1, 3].hlines(npDates,
+                         xmin=0.45,
+                         xmax=0.65)
+
+    @mpl.style.context("default")
+    def test_imshow(self):
+        fig, ax = plt.subplots()
+        a = np.diag(range(5))
+        dt_start = datetime.datetime(2010, 11, 1)
+        dt_end = datetime.datetime(2010, 11, 11)
+        extent = (dt_start, dt_end, dt_start, dt_end)
+        ax.imshow(a, extent=extent)
+        ax.tick_params(axis="x", labelrotation=90)
+
+    @pytest.mark.xfail(reason="Test for loglog not written yet")
+    @mpl.style.context("default")
+    def test_loglog(self):
+        fig, ax = plt.subplots()
+        ax.loglog(...)
+
+    @mpl.style.context("default")
+    def test_matshow(self):
+        a = np.diag(range(5))
+        dt_start = datetime.datetime(1980, 4, 15)
+        dt_end = datetime.datetime(2020, 11, 11)
+        extent = (dt_start, dt_end, dt_start, dt_end)
+        fig, ax = plt.subplots()
+        ax.matshow(a, extent=extent)
+        for label in ax.get_xticklabels():
+            label.set_rotation(90)
+
+    @pytest.mark.xfail(reason="Test for pcolor not written yet")
+    @mpl.style.context("default")
+    def test_pcolor(self):
+        fig, ax = plt.subplots()
+        ax.pcolor(...)
+
+    @pytest.mark.xfail(reason="Test for pcolorfast not written yet")
+    @mpl.style.context("default")
+    def test_pcolorfast(self):
+        fig, ax = plt.subplots()
+        ax.pcolorfast(...)
+
+    @pytest.mark.xfail(reason="Test for pcolormesh not written yet")
+    @mpl.style.context("default")
+    def test_pcolormesh(self):
+        fig, ax = plt.subplots()
+        ax.pcolormesh(...)
+
+    @mpl.style.context("default")
+    def test_plot(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        N = 6
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout='constrained')
+        x = np.array([datetime.datetime(2023, 9, n) for n in range(1, N)])
+        ax1.plot(x, range(1, N))
+        ax2.plot(range(1, N), x)
+        ax3.plot(x, x)
+
+    @pytest.mark.xfail(reason="Test for quiver not written yet")
+    @mpl.style.context("default")
+    def test_quiver(self):
+        fig, ax = plt.subplots()
+        ax.quiver(...)
+
+    @mpl.style.context("default")
+    def test_scatter(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        base = datetime.datetime(2005, 2, 1)
+        dates = [base + datetime.timedelta(hours=(2 * i)) for i in range(10)]
+        N = len(dates)
+        np.random.seed(19680801)
+        y = np.cumsum(np.random.randn(N))
+        fig, axs = plt.subplots(3, 1, layout='constrained', figsize=(6, 6))
+        # datetime array on x axis
+        axs[0].scatter(dates, y)
+        for label in axs[0].get_xticklabels():
+            label.set_rotation(40)
+            label.set_horizontalalignment('right')
+        # datetime on y axis
+        axs[1].scatter(y, dates)
+        # datetime on both x, y axes
+        axs[2].scatter(dates, dates)
+        for label in axs[2].get_xticklabels():
+            label.set_rotation(40)
+            label.set_horizontalalignment('right')
+
+    @pytest.mark.xfail(reason="Test for semilogx not written yet")
+    @mpl.style.context("default")
+    def test_semilogx(self):
+        fig, ax = plt.subplots()
+        ax.semilogx(...)
+
+    @pytest.mark.xfail(reason="Test for semilogy not written yet")
+    @mpl.style.context("default")
+    def test_semilogy(self):
+        fig, ax = plt.subplots()
+        ax.semilogy(...)
+
+    @mpl.style.context("default")
+    def test_stackplot(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        N = 10
+        stacked_nums = np.tile(np.arange(1, N), (4, 1))
+        dates = np.array([datetime.datetime(2020 + i, 1, 1) for i in range(N - 1)])
+
+        fig, ax = plt.subplots(layout='constrained')
+        ax.stackplot(dates, stacked_nums)
+
+    @mpl.style.context("default")
+    def test_stairs(self):
+        mpl.rcParams["date.converter"] = 'concise'
+
+        start_date = datetime.datetime(2023, 12, 1)
+        time_delta = datetime.timedelta(days=1)
+        baseline_date = datetime.datetime(1980, 1, 1)
+
+        bin_edges = [start_date + i * time_delta for i in range(31)]
+        edge_int = np.arange(31)
+        np.random.seed(123456)
+        values1 = np.random.randint(1, 100, 30)
+        values2 = [start_date + datetime.timedelta(days=int(i))
+                   for i in np.random.randint(1, 10000, 30)]
+        values3 = [start_date + datetime.timedelta(days=int(i))
+                   for i in np.random.randint(-10000, 10000, 30)]
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, constrained_layout=True)
+        ax1.stairs(values1, edges=bin_edges)
+        ax2.stairs(values2, edges=edge_int, baseline=baseline_date)
+        ax3.stairs(values3, edges=bin_edges, baseline=baseline_date)
+
+    @mpl.style.context("default")
+    def test_stem(self):
+        mpl.rcParams["date.converter"] = "concise"
+
+        fig, (ax1, ax2, ax3, ax4, ax5, ax6) = plt.subplots(6, 1, layout="constrained")
+
+        limit_value = 10
+        above = datetime.datetime(2023, 9, 18)
+        below = datetime.datetime(2023, 11, 18)
+
+        x_ranges = np.arange(1, limit_value)
+        y_ranges = np.arange(1, limit_value)
+
+        x_dates = np.array(
+            [datetime.datetime(2023, 10, n) for n in range(1, limit_value)]
+        )
+        y_dates = np.array(
+            [datetime.datetime(2023, 10, n) for n in range(1, limit_value)]
+        )
+
+        ax1.stem(x_dates, y_dates, bottom=above)
+        ax2.stem(x_dates, y_ranges, bottom=5)
+        ax3.stem(x_ranges, y_dates, bottom=below)
+
+        ax4.stem(x_ranges, y_dates, orientation="horizontal", bottom=above)
+        ax5.stem(x_dates, y_ranges, orientation="horizontal", bottom=5)
+        ax6.stem(x_ranges, y_dates, orientation="horizontal", bottom=below)
+
+    @mpl.style.context("default")
+    def test_step(self):
+        mpl.rcParams["date.converter"] = "concise"
+        N = 6
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout='constrained')
+        x = np.array([datetime.datetime(2023, 9, n) for n in range(1, N)])
+        ax1.step(x, range(1, N))
+        ax2.step(range(1, N), x)
+        ax3.step(x, x)
+
+    @pytest.mark.xfail(reason="Test for streamplot not written yet")
+    @mpl.style.context("default")
+    def test_streamplot(self):
+        fig, ax = plt.subplots()
+        ax.streamplot(...)
+
+    @mpl.style.context("default")
+    def test_text(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")
+
+        limit_value = 10
+        font_properties = {'family': 'serif', 'size': 12, 'weight': 'bold'}
+        test_date = datetime.datetime(2023, 10, 1)
+
+        x_data = np.array(range(1, limit_value))
+        y_data = np.array(range(1, limit_value))
+
+        x_dates = np.array(
+            [datetime.datetime(2023, 10, n) for n in range(1, limit_value)]
+        )
+        y_dates = np.array(
+            [datetime.datetime(2023, 10, n) for n in range(1, limit_value)]
+        )
+
+        ax1.plot(x_dates, y_data)
+        ax1.text(test_date, 5, "Inserted Text", **font_properties)
+
+        ax2.plot(x_data, y_dates)
+        ax2.text(7, test_date, "Inserted Text", **font_properties)
+
+        ax3.plot(x_dates, y_dates)
+        ax3.text(test_date, test_date, "Inserted Text", **font_properties)
+
+    @pytest.mark.xfail(reason="Test for tricontour not written yet")
+    @mpl.style.context("default")
+    def test_tricontour(self):
+        fig, ax = plt.subplots()
+        ax.tricontour(...)
+
+    @pytest.mark.xfail(reason="Test for tricontourf not written yet")
+    @mpl.style.context("default")
+    def test_tricontourf(self):
+        fig, ax = plt.subplots()
+        ax.tricontourf(...)
+
+    @pytest.mark.xfail(reason="Test for tripcolor not written yet")
+    @mpl.style.context("default")
+    def test_tripcolor(self):
+        fig, ax = plt.subplots()
+        ax.tripcolor(...)
+
+    @pytest.mark.xfail(reason="Test for triplot not written yet")
+    @mpl.style.context("default")
+    def test_triplot(self):
+        fig, ax = plt.subplots()
+        ax.triplot(...)
+
+    @pytest.mark.xfail(reason="Test for violin not written yet")
+    @mpl.style.context("default")
+    def test_violin(self):
+        fig, ax = plt.subplots()
+        ax.violin(...)
+
+    @pytest.mark.xfail(reason="Test for violinplot not written yet")
+    @mpl.style.context("default")
+    def test_violinplot(self):
+        fig, ax = plt.subplots()
+        ax.violinplot(...)
+
+    @mpl.style.context("default")
+    def test_vlines(self):
+        mpl.rcParams["date.converter"] = 'concise'
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout='constrained')
+        ax1.set_xlim(left=datetime.datetime(2023, 1, 1),
+                     right=datetime.datetime(2023, 6, 30))
+        ax1.vlines(x=[datetime.datetime(2023, 2, 10),
+                      datetime.datetime(2023, 5, 18),
+                      datetime.datetime(2023, 6, 6)],
+                   ymin=[0, 0.25, 0.5],
+                   ymax=[0.25, 0.5, 0.75])
+        ax2.set_xlim(left=0,
+                     right=0.5)
+        ax2.vlines(x=[0.3, 0.35],
+                   ymin=[np.datetime64('2023-03-20'), np.datetime64('2023-03-31')],
+                   ymax=[np.datetime64('2023-05-01'), np.datetime64('2023-05-16')])
+        ax3.set_xlim(left=datetime.datetime(2023, 7, 1),
+                     right=datetime.datetime(2023, 12, 31))
+        ax3.vlines(x=[datetime.datetime(2023, 9, 1), datetime.datetime(2023, 12, 10)],
+                   ymin=datetime.datetime(2023, 1, 15),
+                   ymax=datetime.datetime(2023, 1, 30))
diff --git a/lib/matplotlib/tests/test_delaunay.py b/lib/matplotlib/tests/test_delaunay.py
deleted file mode 100644
index 373f77404fe0..000000000000
--- a/lib/matplotlib/tests/test_delaunay.py
+++ /dev/null
@@ -1,225 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-import warnings
-
-import numpy as np
-from matplotlib.testing.decorators import image_comparison, knownfailureif
-from matplotlib.cbook import MatplotlibDeprecationWarning
-
-with warnings.catch_warnings():
-    # the module is deprecated. The tests should be removed when the module is.
-    warnings.simplefilter('ignore', MatplotlibDeprecationWarning)
-    from matplotlib.delaunay.triangulate import Triangulation
-from matplotlib import pyplot as plt
-import matplotlib as mpl
-
-def constant(x, y):
-    return np.ones(x.shape, x.dtype)
-constant.title = 'Constant'
-
-def xramp(x, y):
-    return x
-xramp.title = 'X Ramp'
-
-def yramp(x, y):
-    return y
-yramp.title = 'Y Ramp'
-
-def exponential(x, y):
-    x = x*9
-    y = y*9
-    x1 = x+1.0
-    x2 = x-2.0
-    x4 = x-4.0
-    x7 = x-7.0
-    y1 = x+1.0
-    y2 = y-2.0
-    y3 = y-3.0
-    y7 = y-7.0
-    f = (0.75 * np.exp(-(x2*x2+y2*y2)/4.0) +
-         0.75 * np.exp(-x1*x1/49.0 - y1/10.0) +
-         0.5 * np.exp(-(x7*x7 + y3*y3)/4.0) -
-         0.2 * np.exp(-x4*x4 -y7*y7))
-    return f
-exponential.title = 'Exponential and Some Gaussians'
-
-def cliff(x, y):
-    f = np.tanh(9.0*(y-x) + 1.0)/9.0
-    return f
-cliff.title = 'Cliff'
-
-def saddle(x, y):
-    f = (1.25 + np.cos(5.4*y))/(6.0 + 6.0*(3*x-1.0)**2)
-    return f
-saddle.title = 'Saddle'
-
-def gentle(x, y):
-    f = np.exp(-5.0625*((x-0.5)**2+(y-0.5)**2))/3.0
-    return f
-gentle.title = 'Gentle Peak'
-
-def steep(x, y):
-    f = np.exp(-20.25*((x-0.5)**2+(y-0.5)**2))/3.0
-    return f
-steep.title = 'Steep Peak'
-
-def sphere(x, y):
-    circle = 64-81*((x-0.5)**2 + (y-0.5)**2)
-    f = np.where(circle >= 0, np.sqrt(np.clip(circle,0,100)) - 0.5, 0.0)
-    return f
-sphere.title = 'Sphere'
-
-def trig(x, y):
-    f = 2.0*np.cos(10.0*x)*np.sin(10.0*y) + np.sin(10.0*x*y)
-    return f
-trig.title = 'Cosines and Sines'
-
-def gauss(x, y):
-    x = 5.0-10.0*x
-    y = 5.0-10.0*y
-    g1 = np.exp(-x*x/2)
-    g2 = np.exp(-y*y/2)
-    f = g1 + 0.75*g2*(1 + g1)
-    return f
-gauss.title = 'Gaussian Peak and Gaussian Ridges'
-
-def cloverleaf(x, y):
-    ex = np.exp((10.0-20.0*x)/3.0)
-    ey = np.exp((10.0-20.0*y)/3.0)
-    logitx = 1.0/(1.0+ex)
-    logity = 1.0/(1.0+ey)
-    f = (((20.0/3.0)**3 * ex*ey)**2 * (logitx*logity)**5 *
-        (ex-2.0*logitx)*(ey-2.0*logity))
-    return f
-cloverleaf.title = 'Cloverleaf'
-
-def cosine_peak(x, y):
-    circle = np.hypot(80*x-40.0, 90*y-45.)
-    f = np.exp(-0.04*circle) * np.cos(0.15*circle)
-    return f
-cosine_peak.title = 'Cosine Peak'
-
-allfuncs = [exponential, cliff, saddle, gentle, steep, sphere, trig, gauss, cloverleaf, cosine_peak]
-
-
-class LinearTester(object):
-    name = 'Linear'
-    def __init__(self, xrange=(0.0, 1.0), yrange=(0.0, 1.0), nrange=101, npoints=250):
-        self.xrange = xrange
-        self.yrange = yrange
-        self.nrange = nrange
-        self.npoints = npoints
-
-        rng = np.random.RandomState(1234567890)
-        self.x = rng.uniform(xrange[0], xrange[1], size=npoints)
-        self.y = rng.uniform(yrange[0], yrange[1], size=npoints)
-        self.tri = Triangulation(self.x, self.y)
-
-    def replace_data(self, dataset):
-        self.x = dataset.x
-        self.y = dataset.y
-        self.tri = Triangulation(self.x, self.y)
-
-    def interpolator(self, func):
-        z = func(self.x, self.y)
-        return self.tri.linear_extrapolator(z, bbox=self.xrange+self.yrange)
-
-    def plot(self, func, interp=True, plotter='imshow'):
-        if interp:
-            lpi = self.interpolator(func)
-            z = lpi[self.yrange[0]:self.yrange[1]:complex(0,self.nrange),
-                    self.xrange[0]:self.xrange[1]:complex(0,self.nrange)]
-        else:
-            y, x = np.mgrid[self.yrange[0]:self.yrange[1]:complex(0,self.nrange),
-                            self.xrange[0]:self.xrange[1]:complex(0,self.nrange)]
-            z = func(x, y)
-
-        z = np.where(np.isinf(z), 0.0, z)
-
-        extent = (self.xrange[0], self.xrange[1],
-            self.yrange[0], self.yrange[1])
-        fig = plt.figure()
-        plt.hot() # Some like it hot
-        if plotter == 'imshow':
-            plt.imshow(np.nan_to_num(z), interpolation='nearest', extent=extent, origin='lower')
-        elif plotter == 'contour':
-            Y, X = np.ogrid[self.yrange[0]:self.yrange[1]:complex(0,self.nrange),
-                self.xrange[0]:self.xrange[1]:complex(0,self.nrange)]
-            plt.contour(np.ravel(X), np.ravel(Y), z, 20)
-        x = self.x
-        y = self.y
-        lc = mpl.collections.LineCollection(np.array([((x[i], y[i]), (x[j], y[j]))
-            for i, j in self.tri.edge_db]), colors=[(0,0,0,0.2)])
-        ax = plt.gca()
-        ax.add_collection(lc)
-
-        if interp:
-            title = '%s Interpolant' % self.name
-        else:
-            title = 'Reference'
-        if hasattr(func, 'title'):
-            plt.title('%s: %s' % (func.title, title))
-        else:
-            plt.title(title)
-
-class NNTester(LinearTester):
-    name = 'Natural Neighbors'
-    def interpolator(self, func):
-        z = func(self.x, self.y)
-        return self.tri.nn_extrapolator(z, bbox=self.xrange+self.yrange)
-
-def make_all_2d_testfuncs(allfuncs=allfuncs):
-    def make_test(func):
-        filenames = [
-            '%s-%s' % (func.__name__, x) for x in
-            ['ref-img', 'nn-img', 'lin-img', 'ref-con', 'nn-con', 'lin-con']]
-
-        # We only generate PNGs to save disk space -- we just assume
-        # that any backend differences are caught by other tests.
-        @image_comparison(filenames, extensions=['png'],
-                          freetype_version=('2.4.5', '2.4.9'),
-                          remove_text=True)
-        def reference_test():
-            nnt.plot(func, interp=False, plotter='imshow')
-            nnt.plot(func, interp=True, plotter='imshow')
-            lpt.plot(func, interp=True, plotter='imshow')
-            nnt.plot(func, interp=False, plotter='contour')
-            nnt.plot(func, interp=True, plotter='contour')
-            lpt.plot(func, interp=True, plotter='contour')
-
-        tester = reference_test
-        tester.__name__ = str('test_%s' % func.__name__)
-        return tester
-
-    nnt = NNTester(npoints=1000)
-    lpt = LinearTester(npoints=1000)
-    for func in allfuncs:
-        globals()['test_%s' % func.__name__] = make_test(func)
-
-make_all_2d_testfuncs()
-
-# 1d and 0d grid tests
-
-ref_interpolator = Triangulation([0,10,10,0],
-                                 [0,0,10,10]).linear_interpolator([1,10,5,2.0])
-
-def test_1d_grid():
-    res = ref_interpolator[3:6:2j,1:1:1j]
-    assert np.allclose(res, [[1.6],[1.9]], rtol=0)
-
-def test_0d_grid():
-    res = ref_interpolator[3:3:1j,1:1:1j]
-    assert np.allclose(res, [[1.6]], rtol=0)
-
-@image_comparison(baseline_images=['delaunay-1d-interp'], extensions=['png'])
-def test_1d_plots():
-    x_range = slice(0.25,9.75,20j)
-    x = np.mgrid[x_range]
-    ax = plt.gca()
-    for y in xrange(2,10,2):
-        plt.plot(x, ref_interpolator[x_range,y:y:1j])
-    ax.set_xticks([])
-    ax.set_yticks([])
diff --git a/lib/matplotlib/tests/test_determinism.py b/lib/matplotlib/tests/test_determinism.py
new file mode 100644
index 000000000000..2ecc40dbd3c0
--- /dev/null
+++ b/lib/matplotlib/tests/test_determinism.py
@@ -0,0 +1,218 @@
+"""
+Test output reproducibility.
+"""
+
+import os
+import sys
+
+import pytest
+
+import matplotlib as mpl
+from matplotlib import pyplot as plt
+from matplotlib.cbook import get_sample_data
+from matplotlib.collections import PathCollection
+from matplotlib.image import BboxImage
+from matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox
+from matplotlib.patches import Circle, PathPatch
+from matplotlib.path import Path
+from matplotlib.testing import subprocess_run_for_testing
+from matplotlib.testing._markers import needs_ghostscript, needs_usetex
+import matplotlib.testing.compare
+from matplotlib.text import TextPath
+from matplotlib.transforms import IdentityTransform
+
+
+def _save_figure(objects='mhip', fmt="pdf", usetex=False):
+    mpl.use(fmt)
+    mpl.rcParams.update({'svg.hashsalt': 'asdf', 'text.usetex': usetex})
+
+    fig = plt.figure()
+
+    if 'm' in objects:
+        # use different markers...
+        ax1 = fig.add_subplot(1, 6, 1)
+        x = range(10)
+        ax1.plot(x, [1] * 10, marker='D')
+        ax1.plot(x, [2] * 10, marker='x')
+        ax1.plot(x, [3] * 10, marker='^')
+        ax1.plot(x, [4] * 10, marker='H')
+        ax1.plot(x, [5] * 10, marker='v')
+
+    if 'h' in objects:
+        # also use different hatch patterns
+        ax2 = fig.add_subplot(1, 6, 2)
+        bars = (ax2.bar(range(1, 5), range(1, 5)) +
+                ax2.bar(range(1, 5), [6] * 4, bottom=range(1, 5)))
+        ax2.set_xticks([1.5, 2.5, 3.5, 4.5])
+
+        patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.')
+        for bar, pattern in zip(bars, patterns):
+            bar.set_hatch(pattern)
+
+    if 'i' in objects:
+        # also use different images
+        A = [[1, 2, 3], [2, 3, 1], [3, 1, 2]]
+        fig.add_subplot(1, 6, 3).imshow(A, interpolation='nearest')
+        A = [[1, 3, 2], [1, 2, 3], [3, 1, 2]]
+        fig.add_subplot(1, 6, 4).imshow(A, interpolation='bilinear')
+        A = [[2, 3, 1], [1, 2, 3], [2, 1, 3]]
+        fig.add_subplot(1, 6, 5).imshow(A, interpolation='bicubic')
+
+    if 'p' in objects:
+
+        # clipping support class, copied from demo_text_path.py gallery example
+        class PathClippedImagePatch(PathPatch):
+            """
+            The given image is used to draw the face of the patch. Internally,
+            it uses BboxImage whose clippath set to the path of the patch.
+
+            FIXME : The result is currently dpi dependent.
+            """
+
+            def __init__(self, path, bbox_image, **kwargs):
+                super().__init__(path, **kwargs)
+                self.bbox_image = BboxImage(
+                    self.get_window_extent, norm=None, origin=None)
+                self.bbox_image.set_data(bbox_image)
+
+            def set_facecolor(self, color):
+                """Simply ignore facecolor."""
+                super().set_facecolor("none")
+
+            def draw(self, renderer=None):
+                # the clip path must be updated every draw. any solution? -JJ
+                self.bbox_image.set_clip_path(self._path, self.get_transform())
+                self.bbox_image.draw(renderer)
+                super().draw(renderer)
+
+        # add a polar projection
+        px = fig.add_subplot(projection="polar")
+        pimg = px.imshow([[2]])
+        pimg.set_clip_path(Circle((0, 1), radius=0.3333))
+
+        # add a text-based clipping path (origin: demo_text_path.py)
+        (ax1, ax2) = fig.subplots(2)
+        arr = plt.imread(get_sample_data("grace_hopper.jpg"))
+        text_path = TextPath((0, 0), "!?", size=150)
+        p = PathClippedImagePatch(text_path, arr, ec="k")
+        offsetbox = AuxTransformBox(IdentityTransform())
+        offsetbox.add_artist(p)
+        ao = AnchoredOffsetbox(loc='upper left', child=offsetbox, frameon=True,
+                               borderpad=0.2)
+        ax1.add_artist(ao)
+
+        # add a 2x2 grid of path-clipped axes (origin: test_artist.py)
+        exterior = Path.unit_rectangle().deepcopy()
+        exterior.vertices *= 4
+        exterior.vertices -= 2
+        interior = Path.unit_circle().deepcopy()
+        interior.vertices = interior.vertices[::-1]
+        clip_path = Path.make_compound_path(exterior, interior)
+
+        star = Path.unit_regular_star(6).deepcopy()
+        star.vertices *= 2.6
+
+        (row1, row2) = fig.subplots(2, 2, sharex=True, sharey=True)
+        for row in (row1, row2):
+            ax1, ax2 = row
+            collection = PathCollection([star], lw=5, edgecolor='blue',
+                                        facecolor='red', alpha=0.7, hatch='*')
+            collection.set_clip_path(clip_path, ax1.transData)
+            ax1.add_collection(collection)
+
+            patch = PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
+                              alpha=0.7, hatch='*')
+            patch.set_clip_path(clip_path, ax2.transData)
+            ax2.add_patch(patch)
+
+            ax1.set_xlim([-3, 3])
+            ax1.set_ylim([-3, 3])
+
+    x = range(5)
+    ax = fig.add_subplot(1, 6, 6)
+    ax.plot(x, x)
+    ax.set_title('A string $1+2+\\sigma$')
+    ax.set_xlabel('A string $1+2+\\sigma$')
+    ax.set_ylabel('A string $1+2+\\sigma$')
+
+    stdout = getattr(sys.stdout, 'buffer', sys.stdout)
+    fig.savefig(stdout, format=fmt)
+
+
+@pytest.mark.parametrize(
+    "objects, fmt, usetex", [
+        ("", "pdf", False),
+        ("m", "pdf", False),
+        ("h", "pdf", False),
+        ("i", "pdf", False),
+        ("mhip", "pdf", False),
+        ("mhip", "ps", False),
+        pytest.param(
+            "mhip", "ps", True, marks=[needs_usetex, needs_ghostscript]),
+        ("p", "svg", False),
+        ("mhip", "svg", False),
+        pytest.param("mhip", "svg", True, marks=needs_usetex),
+    ]
+)
+def test_determinism_check(objects, fmt, usetex):
+    """
+    Output three times the same graphs and checks that the outputs are exactly
+    the same.
+
+    Parameters
+    ----------
+    objects : str
+        Objects to be included in the test document: 'm' for markers, 'h' for
+        hatch patterns, 'i' for images, and 'p' for paths.
+    fmt : {"pdf", "ps", "svg"}
+        Output format.
+    """
+    plots = [
+        subprocess_run_for_testing(
+            [sys.executable, "-R", "-c",
+             f"from matplotlib.tests.test_determinism import _save_figure;"
+             f"_save_figure({objects!r}, {fmt!r}, {usetex})"],
+            env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
+                 "MPLBACKEND": "Agg"},
+            text=False, capture_output=True, check=True).stdout
+        for _ in range(3)
+    ]
+    for p in plots[1:]:
+        if fmt == "ps" and usetex:
+            if p != plots[0]:
+                pytest.skip("failed, maybe due to ghostscript timestamps")
+        else:
+            assert p == plots[0]
+
+
+@pytest.mark.parametrize(
+    "fmt, string", [
+        ("pdf", b"/CreationDate (D:20000101000000Z)"),
+        # SOURCE_DATE_EPOCH support is not tested with text.usetex,
+        # because the produced timestamp comes from ghostscript:
+        # %%CreationDate: D:20000101000000Z00\'00\', and this could change
+        # with another ghostscript version.
+        ("ps", b"%%CreationDate: Sat Jan 01 00:00:00 2000"),
+    ]
+)
+def test_determinism_source_date_epoch(fmt, string):
+    """
+    Test SOURCE_DATE_EPOCH support. Output a document with the environment
+    variable SOURCE_DATE_EPOCH set to 2000-01-01 00:00 UTC and check that the
+    document contains the timestamp that corresponds to this date (given as an
+    argument).
+
+    Parameters
+    ----------
+    fmt : {"pdf", "ps", "svg"}
+        Output format.
+    string : bytes
+        Timestamp string for 2000-01-01 00:00 UTC.
+    """
+    buf = subprocess_run_for_testing(
+        [sys.executable, "-R", "-c",
+         f"from matplotlib.tests.test_determinism import _save_figure; "
+         f"_save_figure('', {fmt!r})"],
+        env={**os.environ, "SOURCE_DATE_EPOCH": "946684800",
+             "MPLBACKEND": "Agg"}, capture_output=True, text=False, check=True).stdout
+    assert string in buf
diff --git a/lib/matplotlib/tests/test_doc.py b/lib/matplotlib/tests/test_doc.py
new file mode 100644
index 000000000000..3e28fd1b8eb7
--- /dev/null
+++ b/lib/matplotlib/tests/test_doc.py
@@ -0,0 +1,35 @@
+import pytest
+
+
+def test_sphinx_gallery_example_header():
+    """
+    We have copied EXAMPLE_HEADER and modified it to include meta keywords.
+    This test monitors that the version we have copied is still the same as
+    the EXAMPLE_HEADER in sphinx-gallery. If sphinx-gallery changes its
+    EXAMPLE_HEADER, this test will start to fail. In that case, please update
+    the monkey-patching of EXAMPLE_HEADER in conf.py.
+    """
+    pytest.importorskip('sphinx_gallery', minversion='0.16.0')
+    from sphinx_gallery import gen_rst
+
+    EXAMPLE_HEADER = """
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "{0}"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        :ref:`Go to the end <sphx_glr_download_{1}>`
+        to download the full example code.{2}
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_{1}:
+
+"""
+    assert gen_rst.EXAMPLE_HEADER == EXAMPLE_HEADER
diff --git a/lib/matplotlib/tests/test_dviread.py b/lib/matplotlib/tests/test_dviread.py
index dccc677eb6b3..7b7ff151be18 100644
--- a/lib/matplotlib/tests/test_dviread.py
+++ b/lib/matplotlib/tests/test_dviread.py
@@ -1,54 +1,77 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import json
+from pathlib import Path
+import shutil
 
-import six
-
-from nose.tools import assert_equal
 import matplotlib.dviread as dr
-import os.path
-
-original_find_tex_file = dr.find_tex_file
+import pytest
 
-def setup():
-    dr.find_tex_file = lambda x: x
 
-def teardown():
-    dr.find_tex_file = original_find_tex_file
+def test_PsfontsMap(monkeypatch):
+    monkeypatch.setattr(dr, 'find_tex_file', lambda x: x.decode())
 
-def test_PsfontsMap():
-    filename = os.path.join(
-        os.path.dirname(__file__),
-        'baseline_images', 'dviread', 'test.map')
+    filename = str(Path(__file__).parent / 'baseline_images/dviread/test.map')
     fontmap = dr.PsfontsMap(filename)
     # Check all properties of a few fonts
     for n in [1, 2, 3, 4, 5]:
-        key = 'TeXfont%d' % n
+        key = b'TeXfont%d' % n
         entry = fontmap[key]
-        assert_equal(entry.texname, key)
-        assert_equal(entry.psname, 'PSfont%d' % n)
+        assert entry.texname == key
+        assert entry.psname == b'PSfont%d' % n
         if n not in [3, 5]:
-            assert_equal(entry.encoding, 'font%d.enc' % n)
+            assert entry.encoding == 'font%d.enc' % n
         elif n == 3:
-            assert_equal(entry.encoding, 'enc3.foo')
+            assert entry.encoding == 'enc3.foo'
         # We don't care about the encoding of TeXfont5, which specifies
         # multiple encodings.
         if n not in [1, 5]:
-            assert_equal(entry.filename, 'font%d.pfa' % n)
+            assert entry.filename == 'font%d.pfa' % n
         else:
-            assert_equal(entry.filename, 'font%d.pfb' % n)
+            assert entry.filename == 'font%d.pfb' % n
         if n == 4:
-            assert_equal(entry.effects, {'slant': -0.1, 'extend': 2.2})
+            assert entry.effects == {'slant': -0.1, 'extend': 1.2}
         else:
-            assert_equal(entry.effects, {})
+            assert entry.effects == {}
     # Some special cases
-    entry = fontmap['TeXfont6']
-    assert_equal(entry.filename, None)
-    assert_equal(entry.encoding, None)
-    entry = fontmap['TeXfont7']
-    assert_equal(entry.filename, None)
-    assert_equal(entry.encoding, 'font7.enc')
-    entry = fontmap['TeXfont8']
-    assert_equal(entry.filename, 'font8.pfb')
-    assert_equal(entry.encoding, None)
-    entry = fontmap['TeXfont9']
-    assert_equal(entry.filename, '/absolute/font9.pfb')
+    entry = fontmap[b'TeXfont6']
+    assert entry.filename is None
+    assert entry.encoding is None
+    entry = fontmap[b'TeXfont7']
+    assert entry.filename is None
+    assert entry.encoding == 'font7.enc'
+    entry = fontmap[b'TeXfont8']
+    assert entry.filename == 'font8.pfb'
+    assert entry.encoding is None
+    entry = fontmap[b'TeXfont9']
+    assert entry.psname == b'TeXfont9'
+    assert entry.filename == '/absolute/font9.pfb'
+    # First of duplicates only.
+    entry = fontmap[b'TeXfontA']
+    assert entry.psname == b'PSfontA1'
+    # Slant/Extend only works for T1 fonts.
+    entry = fontmap[b'TeXfontB']
+    assert entry.psname == b'PSfontB6'
+    # Subsetted TrueType must have encoding.
+    entry = fontmap[b'TeXfontC']
+    assert entry.psname == b'PSfontC3'
+    # Missing font
+    with pytest.raises(LookupError, match='no-such-font'):
+        fontmap[b'no-such-font']
+    with pytest.raises(LookupError, match='%'):
+        fontmap[b'%']
+
+
+@pytest.mark.skipif(shutil.which("kpsewhich") is None,
+                    reason="kpsewhich is not available")
+def test_dviread():
+    dirpath = Path(__file__).parent / 'baseline_images/dviread'
+    with (dirpath / 'test.json').open() as f:
+        correct = json.load(f)
+    with dr.Dvi(str(dirpath / 'test.dvi'), None) as dvi:
+        data = [{'text': [[t.x, t.y,
+                           chr(t.glyph),
+                           t.font.texname.decode('ascii'),
+                           round(t.font.size, 2)]
+                          for t in page.text],
+                 'boxes': [[b.x, b.y, b.height, b.width] for b in page.boxes]}
+                for page in dvi]
+    assert data == correct
diff --git a/lib/matplotlib/tests/test_figure.py b/lib/matplotlib/tests/test_figure.py
index d94cf54422d4..496ac0a071ec 100644
--- a/lib/matplotlib/tests/test_figure.py
+++ b/lib/matplotlib/tests/test_figure.py
@@ -1,43 +1,222 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import copy
+from datetime import datetime
+import io
+import pickle
+import platform
+from threading import Timer
+from types import SimpleNamespace
+import warnings
 
-import six
-from six.moves import xrange
+import numpy as np
+import pytest
+from PIL import Image
 
-from nose.tools import assert_equal, assert_true, assert_raises
-from matplotlib.testing.decorators import image_comparison, cleanup
+import matplotlib as mpl
+from matplotlib import gridspec
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from matplotlib.axes import Axes
+from matplotlib.backend_bases import KeyEvent, MouseEvent
+from matplotlib.figure import Figure, FigureBase
+from matplotlib.layout_engine import (ConstrainedLayoutEngine,
+                                      TightLayoutEngine,
+                                      PlaceHolderLayoutEngine)
+from matplotlib.ticker import AutoMinorLocator, FixedFormatter, ScalarFormatter
 import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
+
+
+@image_comparison(['figure_align_labels'], extensions=['png', 'svg'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.01)
+def test_align_labels():
+    fig = plt.figure(layout='tight')
+    gs = gridspec.GridSpec(3, 3)
+
+    ax = fig.add_subplot(gs[0, :2])
+    ax.plot(np.arange(0, 1e6, 1000))
+    ax.set_ylabel('Ylabel0 0')
+    ax = fig.add_subplot(gs[0, -1])
+    ax.plot(np.arange(0, 1e4, 100))
+
+    for i in range(3):
+        ax = fig.add_subplot(gs[1, i])
+        ax.set_ylabel('YLabel1 %d' % i)
+        ax.set_xlabel('XLabel1 %d' % i)
+        if i in [0, 2]:
+            ax.xaxis.set_label_position("top")
+            ax.xaxis.tick_top()
+        if i == 0:
+            for tick in ax.get_xticklabels():
+                tick.set_rotation(90)
+        if i == 2:
+            ax.yaxis.set_label_position("right")
+            ax.yaxis.tick_right()
+
+    for i in range(3):
+        ax = fig.add_subplot(gs[2, i])
+        ax.set_xlabel(f'XLabel2 {i}')
+        ax.set_ylabel(f'YLabel2 {i}')
+
+        if i == 2:
+            ax.plot(np.arange(0, 1e4, 10))
+            ax.yaxis.set_label_position("right")
+            ax.yaxis.tick_right()
+            for tick in ax.get_xticklabels():
+                tick.set_rotation(90)
+
+    fig.align_labels()
+
+
+@image_comparison(['figure_align_titles_tight.png',
+                   'figure_align_titles_constrained.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.022,
+                  style='mpl20')
+def test_align_titles():
+    for layout in ['tight', 'constrained']:
+        fig, axs = plt.subplots(1, 2, layout=layout, width_ratios=[2, 1])
+
+        ax = axs[0]
+        ax.plot(np.arange(0, 1e6, 1000))
+        ax.set_title('Title0 left', loc='left')
+        ax.set_title('Title0 center', loc='center')
+        ax.set_title('Title0 right', loc='right')
+
+        ax = axs[1]
+        ax.plot(np.arange(0, 1e4, 100))
+        ax.set_title('Title1')
+        ax.set_xlabel('Xlabel0')
+        ax.xaxis.set_label_position("top")
+        ax.xaxis.tick_top()
+        for tick in ax.get_xticklabels():
+            tick.set_rotation(90)
+
+        fig.align_titles()
+
+
+def test_align_labels_stray_axes():
+    fig, axs = plt.subplots(2, 2)
+    for nn, ax in enumerate(axs.flat):
+        ax.set_xlabel('Boo')
+        ax.set_xlabel('Who')
+        ax.plot(np.arange(4)**nn, np.arange(4)**nn)
+    fig.align_ylabels()
+    fig.align_xlabels()
+    fig.draw_without_rendering()
+    xn = np.zeros(4)
+    yn = np.zeros(4)
+    for nn, ax in enumerate(axs.flat):
+        yn[nn] = ax.xaxis.label.get_position()[1]
+        xn[nn] = ax.yaxis.label.get_position()[0]
+    np.testing.assert_allclose(xn[:2], xn[2:])
+    np.testing.assert_allclose(yn[::2], yn[1::2])
+
+    fig, axs = plt.subplots(2, 2, constrained_layout=True)
+    for nn, ax in enumerate(axs.flat):
+        ax.set_xlabel('Boo')
+        ax.set_xlabel('Who')
+        pc = ax.pcolormesh(np.random.randn(10, 10))
+    fig.colorbar(pc, ax=ax)
+    fig.align_ylabels()
+    fig.align_xlabels()
+    fig.draw_without_rendering()
+    xn = np.zeros(4)
+    yn = np.zeros(4)
+    for nn, ax in enumerate(axs.flat):
+        yn[nn] = ax.xaxis.label.get_position()[1]
+        xn[nn] = ax.yaxis.label.get_position()[0]
+    np.testing.assert_allclose(xn[:2], xn[2:])
+    np.testing.assert_allclose(yn[::2], yn[1::2])
 
 
-@cleanup
 def test_figure_label():
-    # pyplot figure creation, selection and closing with figure label and
-    # number
+    # pyplot figure creation, selection, and closing with label/number/instance
     plt.close('all')
-    plt.figure('today')
+    fig_today = plt.figure('today')
     plt.figure(3)
     plt.figure('tomorrow')
     plt.figure()
     plt.figure(0)
     plt.figure(1)
     plt.figure(3)
-    assert_equal(plt.get_fignums(), [0, 1, 3, 4, 5])
-    assert_equal(plt.get_figlabels(), ['', 'today', '', 'tomorrow', ''])
+    assert plt.get_fignums() == [0, 1, 3, 4, 5]
+    assert plt.get_figlabels() == ['', 'today', '', 'tomorrow', '']
     plt.close(10)
     plt.close()
     plt.close(5)
     plt.close('tomorrow')
-    assert_equal(plt.get_fignums(), [0, 1])
-    assert_equal(plt.get_figlabels(), ['', 'today'])
+    assert plt.get_fignums() == [0, 1]
+    assert plt.get_figlabels() == ['', 'today']
+    plt.figure(fig_today)
+    assert plt.gcf() == fig_today
+    with pytest.raises(ValueError):
+        plt.figure(Figure())
+
+
+def test_figure_label_replaced():
+    plt.close('all')
+    fig = plt.figure(1)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match="Changing 'Figure.number' is deprecated"):
+        fig.number = 2
+    assert fig.number == 2
+
+
+def test_figure_no_label():
+    # standalone figures do not have a figure attribute
+    fig = Figure()
+    with pytest.raises(AttributeError):
+        fig.number
+    # but one can set one
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match="Changing 'Figure.number' is deprecated"):
+        fig.number = 5
+    assert fig.number == 5
+    # even though it's not known by pyplot
+    assert not plt.fignum_exists(fig.number)
+
+
+def test_fignum_exists():
+    # pyplot figure creation, selection and closing with fignum_exists
+    plt.figure('one')
+    plt.figure(2)
+    plt.figure('three')
+    plt.figure()
+    assert plt.fignum_exists('one')
+    assert plt.fignum_exists(2)
+    assert plt.fignum_exists('three')
+    assert plt.fignum_exists(4)
+    plt.close('one')
+    plt.close(4)
+    assert not plt.fignum_exists('one')
+    assert not plt.fignum_exists(4)
+
+
+def test_clf_keyword():
+    # test if existing figure is cleared with figure() and subplots()
+    text1 = 'A fancy plot'
+    text2 = 'Really fancy!'
 
+    fig0 = plt.figure(num=1)
+    fig0.suptitle(text1)
+    assert [t.get_text() for t in fig0.texts] == [text1]
 
-@image_comparison(baseline_images=['figure_today'])
+    fig1 = plt.figure(num=1, clear=False)
+    fig1.text(0.5, 0.5, text2)
+    assert fig0 is fig1
+    assert [t.get_text() for t in fig1.texts] == [text1, text2]
+
+    fig2, ax2 = plt.subplots(2, 1, num=1, clear=True)
+    assert fig0 is fig2
+    assert [t.get_text() for t in fig2.texts] == []
+
+
+@image_comparison(['figure_today.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.015)
 def test_figure():
     # named figure support
     fig = plt.figure('today')
-    ax = fig.add_subplot(111)
+    ax = fig.add_subplot()
     ax.set_title(fig.get_label())
-    ax.plot(list(xrange(5)))
+    ax.plot(np.arange(5))
     # plot red line in a different figure.
     plt.figure('tomorrow')
     plt.plot([0, 1], [1, 0], 'r')
@@ -46,70 +225,1631 @@ def test_figure():
     plt.close('tomorrow')
 
 
-@cleanup
+@image_comparison(['figure_legend.png'])
+def test_figure_legend():
+    fig, axs = plt.subplots(2)
+    axs[0].plot([0, 1], [1, 0], label='x', color='g')
+    axs[0].plot([0, 1], [0, 1], label='y', color='r')
+    axs[0].plot([0, 1], [0.5, 0.5], label='y', color='k')
+
+    axs[1].plot([0, 1], [1, 0], label='_y', color='r')
+    axs[1].plot([0, 1], [0, 1], label='z', color='b')
+    fig.legend()
+
+
 def test_gca():
     fig = plt.figure()
 
-    ax1 = fig.add_axes([0, 0, 1, 1])
-    assert_true(fig.gca(projection='rectilinear') is ax1)
-    assert_true(fig.gca() is ax1)
+    # test that gca() picks up Axes created via add_axes()
+    ax0 = fig.add_axes([0, 0, 1, 1])
+    assert fig.gca() is ax0
 
-    ax2 = fig.add_subplot(121, projection='polar')
-    assert_true(fig.gca() is ax2)
-    assert_true(fig.gca(polar=True)is ax2)
+    # test that gca() picks up Axes created via add_subplot()
+    ax1 = fig.add_subplot(111)
+    assert fig.gca() is ax1
 
-    ax3 = fig.add_subplot(122)
-    assert_true(fig.gca() is ax3)
+    # add_axes on an existing Axes should not change stored order, but will
+    # make it current.
+    fig.add_axes(ax0)
+    assert fig.axes == [ax0, ax1]
+    assert fig.gca() is ax0
 
-    # the final request for a polar axes will end up creating one
-    # with a spec of 111.
-    assert_true(fig.gca(polar=True) is not ax3)
-    assert_true(fig.gca(polar=True) is not ax2)
-    assert_equal(fig.gca().get_geometry(), (1, 1, 1))
+    # sca() should not change stored order of Axes, which is order added.
+    fig.sca(ax0)
+    assert fig.axes == [ax0, ax1]
 
-    fig.sca(ax1)
-    assert_true(fig.gca(projection='rectilinear') is ax1)
-    assert_true(fig.gca() is ax1)
+    # add_subplot on an existing Axes should not change stored order, but will
+    # make it current.
+    fig.add_subplot(ax1)
+    assert fig.axes == [ax0, ax1]
+    assert fig.gca() is ax1
 
 
-@image_comparison(baseline_images=['figure_suptitle'])
-def test_suptitle():
+def test_add_subplot_subclass():
     fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig.add_subplot(axes_class=Axes)
+    with pytest.raises(ValueError):
+        fig.add_subplot(axes_class=Axes, projection="3d")
+    with pytest.raises(ValueError):
+        fig.add_subplot(axes_class=Axes, polar=True)
+    with pytest.raises(ValueError):
+        fig.add_subplot(projection="3d", polar=True)
+    with pytest.raises(TypeError):
+        fig.add_subplot(projection=42)
+
+
+def test_add_subplot_invalid():
+    fig = plt.figure()
+    with pytest.raises(ValueError,
+                       match='Number of columns must be a positive integer'):
+        fig.add_subplot(2, 0, 1)
+    with pytest.raises(ValueError,
+                       match='Number of rows must be a positive integer'):
+        fig.add_subplot(0, 2, 1)
+    with pytest.raises(ValueError, match='num must be an integer with '
+                                         '1 <= num <= 4'):
+        fig.add_subplot(2, 2, 0)
+    with pytest.raises(ValueError, match='num must be an integer with '
+                                         '1 <= num <= 4'):
+        fig.add_subplot(2, 2, 5)
+    with pytest.raises(ValueError, match='num must be an integer with '
+                                         '1 <= num <= 4'):
+        fig.add_subplot(2, 2, 0.5)
+
+    with pytest.raises(ValueError, match='must be a three-digit integer'):
+        fig.add_subplot(42)
+    with pytest.raises(ValueError, match='must be a three-digit integer'):
+        fig.add_subplot(1000)
+
+    with pytest.raises(TypeError, match='takes 1 or 3 positional arguments '
+                                        'but 2 were given'):
+        fig.add_subplot(2, 2)
+    with pytest.raises(TypeError, match='takes 1 or 3 positional arguments '
+                                        'but 4 were given'):
+        fig.add_subplot(1, 2, 3, 4)
+    with pytest.raises(ValueError,
+                       match="Number of rows must be a positive integer, "
+                             "not '2'"):
+        fig.add_subplot('2', 2, 1)
+    with pytest.raises(ValueError,
+                       match='Number of columns must be a positive integer, '
+                             'not 2.0'):
+        fig.add_subplot(2, 2.0, 1)
+    _, ax = plt.subplots()
+    with pytest.raises(ValueError,
+                       match='The Axes must have been created in the '
+                             'present figure'):
+        fig.add_subplot(ax)
+
+
+@image_comparison(['figure_suptitle.png'])
+def test_suptitle():
+    fig, _ = plt.subplots()
     fig.suptitle('hello', color='r')
-    fig.suptitle('title', color='g', rotation='30')
+    fig.suptitle('title', color='g', rotation=30)
+
+
+def test_suptitle_fontproperties():
+    fig, ax = plt.subplots()
+    fps = mpl.font_manager.FontProperties(size='large', weight='bold')
+    txt = fig.suptitle('fontprops title', fontproperties=fps)
+    assert txt.get_fontsize() == fps.get_size_in_points()
+    assert txt.get_weight() == fps.get_weight()
+
+
+def test_suptitle_subfigures():
+    fig = plt.figure(figsize=(4, 3))
+    sf1, sf2 = fig.subfigures(1, 2)
+    sf2.set_facecolor('white')
+    sf1.subplots()
+    sf2.subplots()
+    fig.suptitle("This is a visible suptitle.")
+
+    # verify the first subfigure facecolor is the default transparent
+    assert sf1.get_facecolor() == (0.0, 0.0, 0.0, 0.0)
+    # verify the second subfigure facecolor is white
+    assert sf2.get_facecolor() == (1.0, 1.0, 1.0, 1.0)
+
+
+def test_get_suptitle_supxlabel_supylabel():
+    fig, ax = plt.subplots()
+    assert fig.get_suptitle() == ""
+    assert fig.get_supxlabel() == ""
+    assert fig.get_supylabel() == ""
+    fig.suptitle('suptitle')
+    assert fig.get_suptitle() == 'suptitle'
+    fig.supxlabel('supxlabel')
+    assert fig.get_supxlabel() == 'supxlabel'
+    fig.supylabel('supylabel')
+    assert fig.get_supylabel() == 'supylabel'
 
 
-@image_comparison(baseline_images=['alpha_background'],
+@image_comparison(['alpha_background'],
                   # only test png and svg. The PDF output appears correct,
                   # but Ghostscript does not preserve the background color.
                   extensions=['png', 'svg'],
                   savefig_kwarg={'facecolor': (0, 1, 0.4),
                                  'edgecolor': 'none'})
 def test_alpha():
-    # We want an image which has a background color and an
-    # alpha of 0.4.
+    # We want an image which has a background color and an alpha of 0.4.
     fig = plt.figure(figsize=[2, 1])
     fig.set_facecolor((0, 1, 0.4))
     fig.patch.set_alpha(0.4)
+    fig.patches.append(mpl.patches.CirclePolygon(
+        [20, 20], radius=15, alpha=0.6, facecolor='red'))
 
-    import matplotlib.patches as mpatches
-    fig.patches.append(mpatches.CirclePolygon([20, 20],
-                                              radius=15,
-                                              alpha=0.6,
-                                              facecolor='red'))
 
-
-@cleanup
 def test_too_many_figures():
-    import warnings
+    with pytest.warns(RuntimeWarning):
+        for i in range(mpl.rcParams['figure.max_open_warning'] + 1):
+            plt.figure()
+
+
+def test_iterability_axes_argument():
+
+    # This is a regression test for matplotlib/matplotlib#3196. If one of the
+    # arguments returned by _as_mpl_axes defines __getitem__ but is not
+    # iterable, this would raise an exception. This is because we check
+    # whether the arguments are iterable, and if so we try and convert them
+    # to a tuple. However, the ``iterable`` function returns True if
+    # __getitem__ is present, but some classes can define __getitem__ without
+    # being iterable. The tuple conversion is now done in a try...except in
+    # case it fails.
+
+    class MyAxes(Axes):
+        def __init__(self, *args, myclass=None, **kwargs):
+            Axes.__init__(self, *args, **kwargs)
+
+    class MyClass:
+
+        def __getitem__(self, item):
+            if item != 'a':
+                raise ValueError("item should be a")
+
+        def _as_mpl_axes(self):
+            return MyAxes, {'myclass': self}
+
+    fig = plt.figure()
+    fig.add_subplot(1, 1, 1, projection=MyClass())
+    plt.close(fig)
+
+
+def test_set_fig_size():
+    fig = plt.figure()
+
+    # check figwidth
+    fig.set_figwidth(5)
+    assert fig.get_figwidth() == 5
+
+    # check figheight
+    fig.set_figheight(1)
+    assert fig.get_figheight() == 1
+
+    # check using set_size_inches
+    fig.set_size_inches(2, 4)
+    assert fig.get_figwidth() == 2
+    assert fig.get_figheight() == 4
+
+    # check using tuple to first argument
+    fig.set_size_inches((1, 3))
+    assert fig.get_figwidth() == 1
+    assert fig.get_figheight() == 3
+
+
+def test_axes_remove():
+    fig, axs = plt.subplots(2, 2)
+    axs[-1, -1].remove()
+    for ax in axs.ravel()[:-1]:
+        assert ax in fig.axes
+    assert axs[-1, -1] not in fig.axes
+    assert len(fig.axes) == 3
+
+
+def test_figaspect():
+    w, h = plt.figaspect(np.float64(2) / np.float64(1))
+    assert h / w == 2
+    w, h = plt.figaspect(2)
+    assert h / w == 2
+    w, h = plt.figaspect(np.zeros((1, 2)))
+    assert h / w == 0.5
+    w, h = plt.figaspect(np.zeros((2, 2)))
+    assert h / w == 1
+
+
+@pytest.mark.parametrize('which', ['both', 'major', 'minor'])
+def test_autofmt_xdate(which):
+    date = ['3 Jan 2013', '4 Jan 2013', '5 Jan 2013', '6 Jan 2013',
+            '7 Jan 2013', '8 Jan 2013', '9 Jan 2013', '10 Jan 2013',
+            '11 Jan 2013', '12 Jan 2013', '13 Jan 2013', '14 Jan 2013']
+
+    time = ['16:44:00', '16:45:00', '16:46:00', '16:47:00', '16:48:00',
+            '16:49:00', '16:51:00', '16:52:00', '16:53:00', '16:55:00',
+            '16:56:00', '16:57:00']
+
+    angle = 60
+    minors = [1, 2, 3, 4, 5, 6, 7]
+
+    x = mdates.datestr2num(date)
+    y = mdates.datestr2num(time)
+
+    fig, ax = plt.subplots()
+
+    ax.plot(x, y)
+    ax.yaxis_date()
+    ax.xaxis_date()
+
+    ax.xaxis.set_minor_locator(AutoMinorLocator(2))
+    with warnings.catch_warnings():
+        warnings.filterwarnings(
+            'ignore',
+            'FixedFormatter should only be used together with FixedLocator')
+        ax.xaxis.set_minor_formatter(FixedFormatter(minors))
+
+    fig.autofmt_xdate(0.2, angle, 'right', which)
+
+    if which in ('both', 'major'):
+        for label in fig.axes[0].get_xticklabels(False, 'major'):
+            assert int(label.get_rotation()) == angle
+
+    if which in ('both', 'minor'):
+        for label in fig.axes[0].get_xticklabels(True, 'minor'):
+            assert int(label.get_rotation()) == angle
+
+
+def test_autofmt_xdate_colorbar_constrained():
+    # check works with a colorbar.
+    # with constrained layout, colorbars do not have a gridspec,
+    # but autofmt_xdate checks if all axes have a gridspec before being
+    # applied.
+    fig, ax = plt.subplots(layout="constrained")
+    im = ax.imshow([[1, 4, 6], [2, 3, 5]])
+    plt.colorbar(im)
+    fig.autofmt_xdate()
+    fig.draw_without_rendering()
+    label = ax.get_xticklabels(which='major')[1]
+    assert label.get_rotation() == 30.0
+
+
+@mpl.style.context('default')
+def test_change_dpi():
+    fig = plt.figure(figsize=(4, 4))
+    fig.draw_without_rendering()
+    assert fig.canvas.renderer.height == 400
+    assert fig.canvas.renderer.width == 400
+    fig.dpi = 50
+    fig.draw_without_rendering()
+    assert fig.canvas.renderer.height == 200
+    assert fig.canvas.renderer.width == 200
+
+
+@pytest.mark.parametrize('width, height', [
+    (1, np.nan),
+    (-1, 1),
+    (np.inf, 1)
+])
+def test_invalid_figure_size(width, height):
+    with pytest.raises(ValueError):
+        plt.figure(figsize=(width, height))
+
+    fig = plt.figure()
+    with pytest.raises(ValueError):
+        fig.set_size_inches(width, height)
+
+
+def test_invalid_figure_add_axes():
+    fig = plt.figure()
+    with pytest.raises(TypeError,
+                       match="missing 1 required positional argument: 'rect'"):
+        fig.add_axes()
+
+    with pytest.raises(ValueError):
+        fig.add_axes((.1, .1, .5, np.nan))
+
+    with pytest.raises(TypeError, match="multiple values for argument 'rect'"):
+        fig.add_axes([0, 0, 1, 1], rect=[0, 0, 1, 1])
+
+    fig2, ax = plt.subplots()
+    with pytest.raises(ValueError,
+                       match="The Axes must have been created in the present "
+                             "figure"):
+        fig.add_axes(ax)
+
+    fig2.delaxes(ax)
+    with pytest.raises(TypeError, match=r"add_axes\(\) takes 1 positional arguments"):
+        fig2.add_axes(ax, "extra positional argument")
+
+    with pytest.raises(TypeError, match=r"add_axes\(\) takes 1 positional arguments"):
+        fig.add_axes([0, 0, 1, 1], "extra positional argument")
+
+
+def test_subplots_shareax_loglabels():
+    fig, axs = plt.subplots(2, 2, sharex=True, sharey=True, squeeze=False)
+    for ax in axs.flat:
+        ax.plot([10, 20, 30], [10, 20, 30])
+
+    ax.set_yscale("log")
+    ax.set_xscale("log")
+
+    for ax in axs[0, :]:
+        assert 0 == len(ax.xaxis.get_ticklabels(which='both'))
+
+    for ax in axs[1, :]:
+        assert 0 < len(ax.xaxis.get_ticklabels(which='both'))
+
+    for ax in axs[:, 1]:
+        assert 0 == len(ax.yaxis.get_ticklabels(which='both'))
+
+    for ax in axs[:, 0]:
+        assert 0 < len(ax.yaxis.get_ticklabels(which='both'))
+
+
+def test_savefig():
+    fig = plt.figure()
+    msg = r"savefig\(\) takes 2 positional arguments but 3 were given"
+    with pytest.raises(TypeError, match=msg):
+        fig.savefig("fname1.png", "fname2.png")
+
+
+def test_savefig_warns():
+    fig = plt.figure()
+    for format in ['png', 'pdf', 'svg', 'tif', 'jpg']:
+        with pytest.raises(TypeError):
+            fig.savefig(io.BytesIO(), format=format, non_existent_kwarg=True)
+
+
+def test_savefig_backend():
+    fig = plt.figure()
+    # Intentionally use an invalid module name.
+    with pytest.raises(ModuleNotFoundError, match="No module named '@absent'"):
+        fig.savefig("test", backend="module://@absent")
+    with pytest.raises(ValueError,
+                       match="The 'pdf' backend does not support png output"):
+        fig.savefig("test.png", backend="pdf")
+
+
+@pytest.mark.parametrize('backend', [
+    pytest.param('Agg', marks=[pytest.mark.backend('Agg')]),
+    pytest.param('Cairo', marks=[pytest.mark.backend('Cairo')]),
+])
+def test_savefig_pixel_ratio(backend):
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    with io.BytesIO() as buf:
+        fig.savefig(buf, format='png')
+        ratio1 = Image.open(buf)
+        ratio1.load()
+
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    fig.canvas._set_device_pixel_ratio(2)
+    with io.BytesIO() as buf:
+        fig.savefig(buf, format='png')
+        ratio2 = Image.open(buf)
+        ratio2.load()
+
+    assert ratio1 == ratio2
+
+
+def test_savefig_preserve_layout_engine():
+    fig = plt.figure(layout='compressed')
+    fig.savefig(io.BytesIO(), bbox_inches='tight')
+
+    assert fig.get_layout_engine()._compress
+
+
+def test_savefig_locate_colorbar():
+    fig, ax = plt.subplots()
+    pc = ax.pcolormesh(np.random.randn(2, 2))
+    cbar = fig.colorbar(pc, aspect=40)
+    fig.savefig(io.BytesIO(), bbox_inches=mpl.transforms.Bbox([[0, 0], [4, 4]]))
+
+    # Check that an aspect ratio has been applied.
+    assert (cbar.ax.get_position(original=True).bounds !=
+            cbar.ax.get_position(original=False).bounds)
+
+
+@mpl.rc_context({"savefig.transparent": True})
+@check_figures_equal()
+def test_savefig_transparent(fig_test, fig_ref):
+    # create two transparent subfigures with corresponding transparent inset
+    # axes. the entire background of the image should be transparent.
+    gs1 = fig_test.add_gridspec(3, 3, left=0.05, wspace=0.05)
+    f1 = fig_test.add_subfigure(gs1[:, :])
+    f2 = f1.add_subfigure(gs1[0, 0])
+
+    ax12 = f2.add_subplot(gs1[:, :])
+
+    ax1 = f1.add_subplot(gs1[:-1, :])
+    iax1 = ax1.inset_axes([.1, .2, .3, .4])
+    iax2 = iax1.inset_axes([.1, .2, .3, .4])
+
+    ax2 = fig_test.add_subplot(gs1[-1, :-1])
+    ax3 = fig_test.add_subplot(gs1[-1, -1])
+
+    for ax in [ax12, ax1, iax1, iax2, ax2, ax3]:
+        ax.set(xticks=[], yticks=[])
+        ax.spines[:].set_visible(False)
+
+
+def test_figure_repr():
+    fig = plt.figure(figsize=(10, 20), dpi=10)
+    assert repr(fig) == "<Figure size 100x200 with 0 Axes>"
+
+
+def test_valid_layouts():
+    fig = Figure(layout=None)
+    assert not fig.get_tight_layout()
+    assert not fig.get_constrained_layout()
+
+    fig = Figure(layout='tight')
+    assert fig.get_tight_layout()
+    assert not fig.get_constrained_layout()
+
+    fig = Figure(layout='constrained')
+    assert not fig.get_tight_layout()
+    assert fig.get_constrained_layout()
+
+
+def test_invalid_layouts():
+    fig, ax = plt.subplots(layout="constrained")
+    with pytest.warns(UserWarning):
+        # this should warn,
+        fig.subplots_adjust(top=0.8)
+    assert isinstance(fig.get_layout_engine(), ConstrainedLayoutEngine)
+
+    # Using layout + (tight|constrained)_layout warns, but the former takes
+    # precedence.
+    wst = "The Figure parameters 'layout' and 'tight_layout'"
+    with pytest.warns(UserWarning, match=wst):
+        fig = Figure(layout='tight', tight_layout=False)
+    assert isinstance(fig.get_layout_engine(), TightLayoutEngine)
+    wst = "The Figure parameters 'layout' and 'constrained_layout'"
+    with pytest.warns(UserWarning, match=wst):
+        fig = Figure(layout='constrained', constrained_layout=False)
+    assert not isinstance(fig.get_layout_engine(), TightLayoutEngine)
+    assert isinstance(fig.get_layout_engine(), ConstrainedLayoutEngine)
+
+    with pytest.raises(ValueError,
+                       match="Invalid value for 'layout'"):
+        Figure(layout='foobar')
+
+    # test that layouts can be swapped if no colorbar:
+    fig, ax = plt.subplots(layout="constrained")
+    fig.set_layout_engine("tight")
+    assert isinstance(fig.get_layout_engine(), TightLayoutEngine)
+    fig.set_layout_engine("constrained")
+    assert isinstance(fig.get_layout_engine(), ConstrainedLayoutEngine)
+
+    # test that layouts cannot be swapped if there is a colorbar:
+    fig, ax = plt.subplots(layout="constrained")
+    pc = ax.pcolormesh(np.random.randn(2, 2))
+    fig.colorbar(pc)
+    with pytest.raises(RuntimeError, match='Colorbar layout of new layout'):
+        fig.set_layout_engine("tight")
+    fig.set_layout_engine("none")
+    with pytest.raises(RuntimeError, match='Colorbar layout of new layout'):
+        fig.set_layout_engine("tight")
+
+    fig, ax = plt.subplots(layout="tight")
+    pc = ax.pcolormesh(np.random.randn(2, 2))
+    fig.colorbar(pc)
+    with pytest.raises(RuntimeError, match='Colorbar layout of new layout'):
+        fig.set_layout_engine("constrained")
+    fig.set_layout_engine("none")
+    assert isinstance(fig.get_layout_engine(), PlaceHolderLayoutEngine)
+
+    with pytest.raises(RuntimeError, match='Colorbar layout of new layout'):
+        fig.set_layout_engine("constrained")
+
+
+@check_figures_equal()
+def test_tightlayout_autolayout_deconflict(fig_test, fig_ref):
+    for fig, autolayout in zip([fig_ref, fig_test], [False, True]):
+        with mpl.rc_context({'figure.autolayout': autolayout}):
+            axes = fig.subplots(ncols=2)
+            fig.tight_layout(w_pad=10)
+        assert isinstance(fig.get_layout_engine(), PlaceHolderLayoutEngine)
+
+
+@pytest.mark.parametrize('layout', ['constrained', 'compressed'])
+def test_layout_change_warning(layout):
+    """
+    Raise a warning when a previously assigned layout changes to tight using
+    plt.tight_layout().
+    """
+    fig, ax = plt.subplots(layout=layout)
+    with pytest.warns(UserWarning, match='The figure layout has changed to'):
+        plt.tight_layout()
+
+
+def test_repeated_tightlayout():
+    fig = Figure()
+    fig.tight_layout()
+    # subsequent calls should not warn
+    fig.tight_layout()
+    fig.tight_layout()
+
+
+@check_figures_equal(extensions=["png", "pdf"])
+def test_add_artist(fig_test, fig_ref):
+    fig_test.dpi = 100
+    fig_ref.dpi = 100
+
+    fig_test.subplots()
+    l1 = plt.Line2D([.2, .7], [.7, .7], gid='l1')
+    l2 = plt.Line2D([.2, .7], [.8, .8], gid='l2')
+    r1 = plt.Circle((20, 20), 100, transform=None, gid='C1')
+    r2 = plt.Circle((.7, .5), .05, gid='C2')
+    r3 = plt.Circle((4.5, .8), .55, transform=fig_test.dpi_scale_trans,
+                    facecolor='crimson', gid='C3')
+    for a in [l1, l2, r1, r2, r3]:
+        fig_test.add_artist(a)
+    l2.remove()
+
+    ax2 = fig_ref.subplots()
+    l1 = plt.Line2D([.2, .7], [.7, .7], transform=fig_ref.transFigure,
+                    gid='l1', zorder=21)
+    r1 = plt.Circle((20, 20), 100, transform=None, clip_on=False, zorder=20,
+                    gid='C1')
+    r2 = plt.Circle((.7, .5), .05, transform=fig_ref.transFigure, gid='C2',
+                    zorder=20)
+    r3 = plt.Circle((4.5, .8), .55, transform=fig_ref.dpi_scale_trans,
+                    facecolor='crimson', clip_on=False, zorder=20, gid='C3')
+    for a in [l1, r1, r2, r3]:
+        ax2.add_artist(a)
+
+
+@pytest.mark.parametrize("fmt", ["png", "pdf", "ps", "eps", "svg"])
+def test_fspath(fmt, tmp_path):
+    out = tmp_path / f"test.{fmt}"
+    plt.savefig(out)
+    with out.open("rb") as file:
+        # All the supported formats include the format name (case-insensitive)
+        # in the first 100 bytes.
+        assert fmt.encode("ascii") in file.read(100).lower()
+
+
+def test_tightbbox():
+    fig, ax = plt.subplots()
+    ax.set_xlim(0, 1)
+    t = ax.text(1., 0.5, 'This dangles over end')
+    renderer = fig.canvas.get_renderer()
+    x1Nom0 = 9.035  # inches
+    assert abs(t.get_tightbbox(renderer).x1 - x1Nom0 * fig.dpi) < 2
+    assert abs(ax.get_tightbbox(renderer).x1 - x1Nom0 * fig.dpi) < 2
+    assert abs(fig.get_tightbbox(renderer).x1 - x1Nom0) < 0.05
+    assert abs(fig.get_tightbbox(renderer).x0 - 0.679) < 0.05
+    # now exclude t from the tight bbox so now the bbox is quite a bit
+    # smaller
+    t.set_in_layout(False)
+    x1Nom = 7.333
+    assert abs(ax.get_tightbbox(renderer).x1 - x1Nom * fig.dpi) < 2
+    assert abs(fig.get_tightbbox(renderer).x1 - x1Nom) < 0.05
+
+    t.set_in_layout(True)
+    x1Nom = 7.333
+    assert abs(ax.get_tightbbox(renderer).x1 - x1Nom0 * fig.dpi) < 2
+    # test bbox_extra_artists method...
+    assert abs(ax.get_tightbbox(renderer, bbox_extra_artists=[]).x1
+               - x1Nom * fig.dpi) < 2
+
+
+def test_axes_removal():
+    # Check that units can set the formatter after an Axes removal
+    fig, axs = plt.subplots(1, 2, sharex=True)
+    axs[1].remove()
+    axs[0].plot([datetime(2000, 1, 1), datetime(2000, 2, 1)], [0, 1])
+    assert isinstance(axs[0].xaxis.get_major_formatter(),
+                      mdates.AutoDateFormatter)
+
+    # Check that manually setting the formatter, then removing Axes keeps
+    # the set formatter.
+    fig, axs = plt.subplots(1, 2, sharex=True)
+    axs[1].xaxis.set_major_formatter(ScalarFormatter())
+    axs[1].remove()
+    axs[0].plot([datetime(2000, 1, 1), datetime(2000, 2, 1)], [0, 1])
+    assert isinstance(axs[0].xaxis.get_major_formatter(),
+                      ScalarFormatter)
+
+
+def test_removed_axis():
+    # Simple smoke test to make sure removing a shared axis works
+    fig, axs = plt.subplots(2, sharex=True)
+    axs[0].remove()
+    fig.canvas.draw()
+
+
+@pytest.mark.parametrize('clear_meth', ['clear', 'clf'])
+def test_figure_clear(clear_meth):
+    # we test the following figure clearing scenarios:
+    fig = plt.figure()
+
+    # a) an empty figure
+    fig.clear()
+    assert fig.axes == []
+
+    # b) a figure with a single unnested axes
+    ax = fig.add_subplot(111)
+    getattr(fig, clear_meth)()
+    assert fig.axes == []
+
+    # c) a figure multiple unnested axes
+    axes = [fig.add_subplot(2, 1, i+1) for i in range(2)]
+    getattr(fig, clear_meth)()
+    assert fig.axes == []
+
+    # d) a figure with a subfigure
+    gs = fig.add_gridspec(ncols=2, nrows=1)
+    subfig = fig.add_subfigure(gs[0])
+    subaxes = subfig.add_subplot(111)
+    getattr(fig, clear_meth)()
+    assert subfig not in fig.subfigs
+    assert fig.axes == []
+
+    # e) a figure with a subfigure and a subplot
+    subfig = fig.add_subfigure(gs[0])
+    subaxes = subfig.add_subplot(111)
+    mainaxes = fig.add_subplot(gs[1])
+
+    # e.1) removing just the axes leaves the subplot
+    mainaxes.remove()
+    assert fig.axes == [subaxes]
+
+    # e.2) removing just the subaxes leaves the subplot
+    # and subfigure
+    mainaxes = fig.add_subplot(gs[1])
+    subaxes.remove()
+    assert fig.axes == [mainaxes]
+    assert subfig in fig.subfigs
+
+    # e.3) clearing the subfigure leaves the subplot
+    subaxes = subfig.add_subplot(111)
+    assert mainaxes in fig.axes
+    assert subaxes in fig.axes
+    getattr(subfig, clear_meth)()
+    assert subfig in fig.subfigs
+    assert subaxes not in subfig.axes
+    assert subaxes not in fig.axes
+    assert mainaxes in fig.axes
+
+    # e.4) clearing the whole thing
+    subaxes = subfig.add_subplot(111)
+    getattr(fig, clear_meth)()
+    assert fig.axes == []
+    assert fig.subfigs == []
+
+    # f) multiple subfigures
+    subfigs = [fig.add_subfigure(gs[i]) for i in [0, 1]]
+    subaxes = [sfig.add_subplot(111) for sfig in subfigs]
+    assert all(ax in fig.axes for ax in subaxes)
+    assert all(sfig in fig.subfigs for sfig in subfigs)
+
+    # f.1) clearing only one subfigure
+    getattr(subfigs[0], clear_meth)()
+    assert subaxes[0] not in fig.axes
+    assert subaxes[1] in fig.axes
+    assert subfigs[1] in fig.subfigs
+
+    # f.2) clearing the whole thing
+    getattr(subfigs[1], clear_meth)()
+    subfigs = [fig.add_subfigure(gs[i]) for i in [0, 1]]
+    subaxes = [sfig.add_subplot(111) for sfig in subfigs]
+    assert all(ax in fig.axes for ax in subaxes)
+    assert all(sfig in fig.subfigs for sfig in subfigs)
+    getattr(fig, clear_meth)()
+    assert fig.subfigs == []
+    assert fig.axes == []
+
+
+def test_clf_not_redefined():
+    for klass in FigureBase.__subclasses__():
+        # check that subclasses do not get redefined in our Figure subclasses
+        assert 'clf' not in klass.__dict__
+
+
+@mpl.style.context('mpl20')
+def test_picking_does_not_stale():
+    fig, ax = plt.subplots()
+    ax.scatter([0], [0], [1000], picker=True)
+    fig.canvas.draw()
+    assert not fig.stale
+
+    mouse_event = SimpleNamespace(x=ax.bbox.x0 + ax.bbox.width / 2,
+                                  y=ax.bbox.y0 + ax.bbox.height / 2,
+                                  inaxes=ax, guiEvent=None)
+    fig.pick(mouse_event)
+    assert not fig.stale
+
+
+def test_add_subplot_twotuple():
+    fig = plt.figure()
+    ax1 = fig.add_subplot(3, 2, (3, 5))
+    assert ax1.get_subplotspec().rowspan == range(1, 3)
+    assert ax1.get_subplotspec().colspan == range(0, 1)
+    ax2 = fig.add_subplot(3, 2, (4, 6))
+    assert ax2.get_subplotspec().rowspan == range(1, 3)
+    assert ax2.get_subplotspec().colspan == range(1, 2)
+    ax3 = fig.add_subplot(3, 2, (3, 6))
+    assert ax3.get_subplotspec().rowspan == range(1, 3)
+    assert ax3.get_subplotspec().colspan == range(0, 2)
+    ax4 = fig.add_subplot(3, 2, (4, 5))
+    assert ax4.get_subplotspec().rowspan == range(1, 3)
+    assert ax4.get_subplotspec().colspan == range(0, 2)
+    with pytest.raises(IndexError):
+        fig.add_subplot(3, 2, (6, 3))
+
+
+@image_comparison(['tightbbox_box_aspect.svg'], style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight',
+                                 'facecolor': 'teal'},
+                  remove_text=True)
+def test_tightbbox_box_aspect():
+    fig = plt.figure()
+    gs = fig.add_gridspec(1, 2)
+    ax1 = fig.add_subplot(gs[0, 0])
+    ax2 = fig.add_subplot(gs[0, 1], projection='3d')
+    ax1.set_box_aspect(.5)
+    ax2.set_box_aspect((2, 1, 1))
+
+
+@check_figures_equal(extensions=["svg", "pdf", "eps", "png"])
+def test_animated_with_canvas_change(fig_test, fig_ref):
+    ax_ref = fig_ref.subplots()
+    ax_ref.plot(range(5))
+
+    ax_test = fig_test.subplots()
+    ax_test.plot(range(5), animated=True)
+
+
+class TestSubplotMosaic:
+    @check_figures_equal()
+    @pytest.mark.parametrize(
+        "x", [
+            [["A", "A", "B"], ["C", "D", "B"]],
+            [[1, 1, 2], [3, 4, 2]],
+            (("A", "A", "B"), ("C", "D", "B")),
+            ((1, 1, 2), (3, 4, 2))
+        ]
+    )
+    def test_basic(self, fig_test, fig_ref, x):
+        grid_axes = fig_test.subplot_mosaic(x)
+
+        for k, ax in grid_axes.items():
+            ax.set_title(k)
+
+        labels = sorted(np.unique(x))
+
+        assert len(labels) == len(grid_axes)
+
+        gs = fig_ref.add_gridspec(2, 3)
+        axA = fig_ref.add_subplot(gs[:1, :2])
+        axA.set_title(labels[0])
+
+        axB = fig_ref.add_subplot(gs[:, 2])
+        axB.set_title(labels[1])
+
+        axC = fig_ref.add_subplot(gs[1, 0])
+        axC.set_title(labels[2])
+
+        axD = fig_ref.add_subplot(gs[1, 1])
+        axD.set_title(labels[3])
+
+    @check_figures_equal()
+    def test_all_nested(self, fig_test, fig_ref):
+        x = [["A", "B"], ["C", "D"]]
+        y = [["E", "F"], ["G", "H"]]
+
+        fig_ref.set_layout_engine("constrained")
+        fig_test.set_layout_engine("constrained")
+
+        grid_axes = fig_test.subplot_mosaic([[x, y]])
+        for ax in grid_axes.values():
+            ax.set_title(ax.get_label())
+
+        gs = fig_ref.add_gridspec(1, 2)
+        gs_left = gs[0, 0].subgridspec(2, 2)
+        for j, r in enumerate(x):
+            for k, label in enumerate(r):
+                fig_ref.add_subplot(gs_left[j, k]).set_title(label)
+
+        gs_right = gs[0, 1].subgridspec(2, 2)
+        for j, r in enumerate(y):
+            for k, label in enumerate(r):
+                fig_ref.add_subplot(gs_right[j, k]).set_title(label)
+
+    @check_figures_equal()
+    def test_nested(self, fig_test, fig_ref):
+
+        fig_ref.set_layout_engine("constrained")
+        fig_test.set_layout_engine("constrained")
+
+        x = [["A", "B"], ["C", "D"]]
+
+        y = [["F"], [x]]
+
+        grid_axes = fig_test.subplot_mosaic(y)
+
+        for k, ax in grid_axes.items():
+            ax.set_title(k)
+
+        gs = fig_ref.add_gridspec(2, 1)
+
+        gs_n = gs[1, 0].subgridspec(2, 2)
+
+        axA = fig_ref.add_subplot(gs_n[0, 0])
+        axA.set_title("A")
+
+        axB = fig_ref.add_subplot(gs_n[0, 1])
+        axB.set_title("B")
+
+        axC = fig_ref.add_subplot(gs_n[1, 0])
+        axC.set_title("C")
+
+        axD = fig_ref.add_subplot(gs_n[1, 1])
+        axD.set_title("D")
+
+        axF = fig_ref.add_subplot(gs[0, 0])
+        axF.set_title("F")
+
+    @check_figures_equal()
+    def test_nested_tuple(self, fig_test, fig_ref):
+        x = [["A", "B", "B"], ["C", "C", "D"]]
+        xt = (("A", "B", "B"), ("C", "C", "D"))
+
+        fig_ref.subplot_mosaic([["F"], [x]])
+        fig_test.subplot_mosaic([["F"], [xt]])
+
+    def test_nested_width_ratios(self):
+        x = [["A", [["B"],
+                    ["C"]]]]
+        width_ratios = [2, 1]
+
+        fig, axd = plt.subplot_mosaic(x, width_ratios=width_ratios)
+
+        assert axd["A"].get_gridspec().get_width_ratios() == width_ratios
+        assert axd["B"].get_gridspec().get_width_ratios() != width_ratios
+
+    def test_nested_height_ratios(self):
+        x = [["A", [["B"],
+                    ["C"]]], ["D", "D"]]
+        height_ratios = [1, 2]
+
+        fig, axd = plt.subplot_mosaic(x, height_ratios=height_ratios)
+
+        assert axd["D"].get_gridspec().get_height_ratios() == height_ratios
+        assert axd["B"].get_gridspec().get_height_ratios() != height_ratios
+
+    @check_figures_equal()
+    @pytest.mark.parametrize(
+        "x, empty_sentinel",
+        [
+            ([["A", None], [None, "B"]], None),
+            ([["A", "."], [".", "B"]], "SKIP"),
+            ([["A", 0], [0, "B"]], 0),
+            ([[1, None], [None, 2]], None),
+            ([[1, "."], [".", 2]], "SKIP"),
+            ([[1, 0], [0, 2]], 0),
+        ],
+    )
+    def test_empty(self, fig_test, fig_ref, x, empty_sentinel):
+        if empty_sentinel != "SKIP":
+            kwargs = {"empty_sentinel": empty_sentinel}
+        else:
+            kwargs = {}
+        grid_axes = fig_test.subplot_mosaic(x, **kwargs)
+
+        for k, ax in grid_axes.items():
+            ax.set_title(k)
+
+        labels = sorted(
+            {name for row in x for name in row} - {empty_sentinel, "."}
+        )
+
+        assert len(labels) == len(grid_axes)
+
+        gs = fig_ref.add_gridspec(2, 2)
+        axA = fig_ref.add_subplot(gs[0, 0])
+        axA.set_title(labels[0])
+
+        axB = fig_ref.add_subplot(gs[1, 1])
+        axB.set_title(labels[1])
+
+    def test_fail_list_of_str(self):
+        with pytest.raises(ValueError, match='must be 2D'):
+            plt.subplot_mosaic(['foo', 'bar'])
+        with pytest.raises(ValueError, match='must be 2D'):
+            plt.subplot_mosaic(['foo'])
+        with pytest.raises(ValueError, match='must be 2D'):
+            plt.subplot_mosaic([['foo', ('bar',)]])
+        with pytest.raises(ValueError, match='must be 2D'):
+            plt.subplot_mosaic([['a', 'b'], [('a', 'b'), 'c']])
+
+    @check_figures_equal()
+    @pytest.mark.parametrize("subplot_kw", [{}, {"projection": "polar"}, None])
+    def test_subplot_kw(self, fig_test, fig_ref, subplot_kw):
+        x = [[1, 2]]
+        grid_axes = fig_test.subplot_mosaic(x, subplot_kw=subplot_kw)
+        subplot_kw = subplot_kw or {}
+
+        gs = fig_ref.add_gridspec(1, 2)
+        axA = fig_ref.add_subplot(gs[0, 0], **subplot_kw)
+
+        axB = fig_ref.add_subplot(gs[0, 1], **subplot_kw)
+
+    @check_figures_equal()
+    @pytest.mark.parametrize("multi_value", ['BC', tuple('BC')])
+    def test_per_subplot_kw(self, fig_test, fig_ref, multi_value):
+        x = 'AB;CD'
+        grid_axes = fig_test.subplot_mosaic(
+            x,
+            subplot_kw={'facecolor': 'red'},
+            per_subplot_kw={
+                'D': {'facecolor': 'blue'},
+                multi_value: {'facecolor': 'green'},
+            }
+        )
+
+        gs = fig_ref.add_gridspec(2, 2)
+        for color, spec in zip(['red', 'green', 'green', 'blue'], gs):
+            fig_ref.add_subplot(spec, facecolor=color)
+
+    def test_string_parser(self):
+        normalize = Figure._normalize_grid_string
+
+        assert normalize('ABC') == [['A', 'B', 'C']]
+        assert normalize('AB;CC') == [['A', 'B'], ['C', 'C']]
+        assert normalize('AB;CC;DE') == [['A', 'B'], ['C', 'C'], ['D', 'E']]
+        assert normalize("""
+                         ABC
+                         """) == [['A', 'B', 'C']]
+        assert normalize("""
+                         AB
+                         CC
+                         """) == [['A', 'B'], ['C', 'C']]
+        assert normalize("""
+                         AB
+                         CC
+                         DE
+                         """) == [['A', 'B'], ['C', 'C'], ['D', 'E']]
+
+    def test_per_subplot_kw_expander(self):
+        normalize = Figure._norm_per_subplot_kw
+        assert normalize({"A": {}, "B": {}}) == {"A": {}, "B": {}}
+        assert normalize({("A", "B"): {}}) == {"A": {}, "B": {}}
+        with pytest.raises(
+                ValueError, match=f'The key {"B"!r} appears multiple times'
+        ):
+            normalize({("A", "B"): {}, "B": {}})
+        with pytest.raises(
+                ValueError, match=f'The key {"B"!r} appears multiple times'
+        ):
+            normalize({"B": {}, ("A", "B"): {}})
+
+    def test_extra_per_subplot_kw(self):
+        with pytest.raises(
+                ValueError, match=f'The keys {set("B")!r} are in'
+        ):
+            Figure().subplot_mosaic("A", per_subplot_kw={"B": {}})
+
+    @check_figures_equal()
+    @pytest.mark.parametrize("str_pattern",
+                             ["AAA\nBBB", "\nAAA\nBBB\n", "ABC\nDEF"]
+                             )
+    def test_single_str_input(self, fig_test, fig_ref, str_pattern):
+        grid_axes = fig_test.subplot_mosaic(str_pattern)
+
+        grid_axes = fig_ref.subplot_mosaic(
+            [list(ln) for ln in str_pattern.strip().split("\n")]
+        )
+
+    @pytest.mark.parametrize(
+        "x,match",
+        [
+            (
+                [["A", "."], [".", "A"]],
+                (
+                    "(?m)we found that the label .A. specifies a "
+                    + "non-rectangular or non-contiguous area."
+                ),
+            ),
+            (
+                [["A", "B"], [None, [["A", "B"], ["C", "D"]]]],
+                "There are duplicate keys .* between the outer layout",
+            ),
+            ("AAA\nc\nBBB", "All of the rows must be the same length"),
+            (
+                [["A", [["B", "C"], ["D"]]], ["E", "E"]],
+                "All of the rows must be the same length",
+            ),
+        ],
+    )
+    def test_fail(self, x, match):
+        fig = plt.figure()
+        with pytest.raises(ValueError, match=match):
+            fig.subplot_mosaic(x)
+
+    @check_figures_equal()
+    def test_hashable_keys(self, fig_test, fig_ref):
+        fig_test.subplot_mosaic([[object(), object()]])
+        fig_ref.subplot_mosaic([["A", "B"]])
+
+    @pytest.mark.parametrize('str_pattern',
+                             ['abc', 'cab', 'bca', 'cba', 'acb', 'bac'])
+    def test_user_order(self, str_pattern):
+        fig = plt.figure()
+        ax_dict = fig.subplot_mosaic(str_pattern)
+        assert list(str_pattern) == list(ax_dict)
+        assert list(fig.axes) == list(ax_dict.values())
+
+    def test_nested_user_order(self):
+        layout = [
+            ["A", [["B", "C"],
+                   ["D", "E"]]],
+            ["F", "G"],
+            [".", [["H", [["I"],
+                          ["."]]]]]
+        ]
+
+        fig = plt.figure()
+        ax_dict = fig.subplot_mosaic(layout)
+        assert list(ax_dict) == list("ABCDEFGHI")
+        assert list(fig.axes) == list(ax_dict.values())
+
+    def test_share_all(self):
+        layout = [
+            ["A", [["B", "C"],
+                   ["D", "E"]]],
+            ["F", "G"],
+            [".", [["H", [["I"],
+                          ["."]]]]]
+        ]
+        fig = plt.figure()
+        ax_dict = fig.subplot_mosaic(layout, sharex=True, sharey=True)
+        ax_dict["A"].set(xscale="log", yscale="logit")
+        assert all(ax.get_xscale() == "log" and ax.get_yscale() == "logit"
+                   for ax in ax_dict.values())
+
+
+def test_reused_gridspec():
+    """Test that these all use the same gridspec"""
+    fig = plt.figure()
+    ax1 = fig.add_subplot(3, 2, (3, 5))
+    ax2 = fig.add_subplot(3, 2, 4)
+    ax3 = plt.subplot2grid((3, 2), (2, 1), colspan=2, fig=fig)
+
+    gs1 = ax1.get_subplotspec().get_gridspec()
+    gs2 = ax2.get_subplotspec().get_gridspec()
+    gs3 = ax3.get_subplotspec().get_gridspec()
+
+    assert gs1 == gs2
+    assert gs1 == gs3
+
+
+@image_comparison(['test_subfigure.png'], style='mpl20',
+                  savefig_kwarg={'facecolor': 'teal'})
+def test_subfigure():
+    np.random.seed(19680801)
+    fig = plt.figure(layout='constrained')
+    sub = fig.subfigures(1, 2)
+
+    axs = sub[0].subplots(2, 2)
+    for ax in axs.flat:
+        pc = ax.pcolormesh(np.random.randn(30, 30), vmin=-2, vmax=2)
+    sub[0].colorbar(pc, ax=axs)
+    sub[0].suptitle('Left Side')
+    sub[0].set_facecolor('white')
+
+    axs = sub[1].subplots(1, 3)
+    for ax in axs.flat:
+        pc = ax.pcolormesh(np.random.randn(30, 30), vmin=-2, vmax=2)
+    sub[1].colorbar(pc, ax=axs, location='bottom')
+    sub[1].suptitle('Right Side')
+    sub[1].set_facecolor('white')
+
+    fig.suptitle('Figure suptitle', fontsize='xx-large')
+
+    # below tests for the draw zorder of subfigures.
+    leg = fig.legend(handles=[plt.Line2D([0], [0], label='Line{}'.format(i))
+                     for i in range(5)], loc='center')
+    sub[0].set_zorder(leg.get_zorder() - 1)
+    sub[1].set_zorder(leg.get_zorder() + 1)
+
+
+def test_subfigure_tightbbox():
+    # test that we can get the tightbbox with a subfigure...
+    fig = plt.figure(layout='constrained')
+    sub = fig.subfigures(1, 2)
+
+    np.testing.assert_allclose(
+            fig.get_tightbbox(fig.canvas.get_renderer()).width,
+            8.0)
+
+
+def test_subfigure_dpi():
+    fig = plt.figure(dpi=100)
+    sub_fig = fig.subfigures()
+    assert sub_fig.get_dpi() == fig.get_dpi()
+
+    sub_fig.set_dpi(200)
+    assert sub_fig.get_dpi() == 200
+    assert fig.get_dpi() == 200
+
+
+@image_comparison(['test_subfigure_ss.png'], style='mpl20',
+                  savefig_kwarg={'facecolor': 'teal'}, tol=0.02)
+def test_subfigure_ss():
+    # test assigning the subfigure via subplotspec
+    np.random.seed(19680801)
+    fig = plt.figure(layout='constrained')
+    gs = fig.add_gridspec(1, 2)
+
+    sub = fig.add_subfigure(gs[0], facecolor='pink')
+
+    axs = sub.subplots(2, 2)
+    for ax in axs.flat:
+        pc = ax.pcolormesh(np.random.randn(30, 30), vmin=-2, vmax=2)
+    sub.colorbar(pc, ax=axs)
+    sub.suptitle('Left Side')
+
+    ax = fig.add_subplot(gs[1])
+    ax.plot(np.arange(20))
+    ax.set_title('Axes')
+
+    fig.suptitle('Figure suptitle', fontsize='xx-large')
+
+
+@image_comparison(['test_subfigure_double.png'], style='mpl20',
+                  savefig_kwarg={'facecolor': 'teal'})
+def test_subfigure_double():
+    # test assigning the subfigure via subplotspec
+    np.random.seed(19680801)
+
+    fig = plt.figure(layout='constrained', figsize=(10, 8))
+
+    fig.suptitle('fig')
+
+    subfigs = fig.subfigures(1, 2, wspace=0.07)
+
+    subfigs[0].set_facecolor('coral')
+    subfigs[0].suptitle('subfigs[0]')
+
+    subfigs[1].set_facecolor('coral')
+    subfigs[1].suptitle('subfigs[1]')
+
+    subfigsnest = subfigs[0].subfigures(2, 1, height_ratios=[1, 1.4])
+    subfigsnest[0].suptitle('subfigsnest[0]')
+    subfigsnest[0].set_facecolor('r')
+    axsnest0 = subfigsnest[0].subplots(1, 2, sharey=True)
+    for ax in axsnest0:
+        fontsize = 12
+        pc = ax.pcolormesh(np.random.randn(30, 30), vmin=-2.5, vmax=2.5)
+        ax.set_xlabel('x-label', fontsize=fontsize)
+        ax.set_ylabel('y-label', fontsize=fontsize)
+        ax.set_title('Title', fontsize=fontsize)
+    subfigsnest[0].colorbar(pc, ax=axsnest0)
+
+    subfigsnest[1].suptitle('subfigsnest[1]')
+    subfigsnest[1].set_facecolor('g')
+    axsnest1 = subfigsnest[1].subplots(3, 1, sharex=True)
+    for nn, ax in enumerate(axsnest1):
+        ax.set_ylabel(f'ylabel{nn}')
+    subfigsnest[1].supxlabel('supxlabel')
+    subfigsnest[1].supylabel('supylabel')
+
+    axsRight = subfigs[1].subplots(2, 2)
+
+
+def test_subfigure_spanning():
+    # test that subfigures get laid out properly...
+    fig = plt.figure(constrained_layout=True)
+    gs = fig.add_gridspec(3, 3)
+    sub_figs = [
+        fig.add_subfigure(gs[0, 0]),
+        fig.add_subfigure(gs[0:2, 1]),
+        fig.add_subfigure(gs[2, 1:3]),
+        fig.add_subfigure(gs[0:, 1:])
+    ]
+
+    w = 640
+    h = 480
+    np.testing.assert_allclose(sub_figs[0].bbox.min, [0., h * 2/3])
+    np.testing.assert_allclose(sub_figs[0].bbox.max, [w / 3, h])
+
+    np.testing.assert_allclose(sub_figs[1].bbox.min, [w / 3, h / 3])
+    np.testing.assert_allclose(sub_figs[1].bbox.max, [w * 2/3, h])
+
+    np.testing.assert_allclose(sub_figs[2].bbox.min, [w / 3, 0])
+    np.testing.assert_allclose(sub_figs[2].bbox.max, [w, h / 3])
+
+    # check here that slicing actually works.  Last sub_fig
+    # with open slices failed, but only on draw...
+    for i in range(4):
+        sub_figs[i].add_subplot()
+    fig.draw_without_rendering()
+
+
+@mpl.style.context('mpl20')
+def test_subfigure_ticks():
+    # This tests a tick-spacing error that only seems applicable
+    # when the subfigures are saved to file.  It is very hard to replicate
+    fig = plt.figure(constrained_layout=True, figsize=(10, 3))
+    # create left/right subfigs nested in bottom subfig
+    (subfig_bl, subfig_br) = fig.subfigures(1, 2, wspace=0.01,
+                                            width_ratios=[7, 2])
+
+    # put ax1-ax3 in gridspec of bottom-left subfig
+    gs = subfig_bl.add_gridspec(nrows=1, ncols=14)
+
+    ax1 = subfig_bl.add_subplot(gs[0, :1])
+    ax1.scatter(x=[-56.46881504821776, 24.179891162109396], y=[1500, 3600])
+
+    ax2 = subfig_bl.add_subplot(gs[0, 1:3], sharey=ax1)
+    ax2.scatter(x=[-126.5357270050049, 94.68456736755368], y=[1500, 3600])
+    ax3 = subfig_bl.add_subplot(gs[0, 3:14], sharey=ax1)
+
+    fig.dpi = 120
+    fig.draw_without_rendering()
+    ticks120 = ax2.get_xticks()
+    fig.dpi = 300
+    fig.draw_without_rendering()
+    ticks300 = ax2.get_xticks()
+    np.testing.assert_allclose(ticks120, ticks300)
+
+
+@image_comparison(['test_subfigure_scatter_size.png'], style='mpl20',
+                   remove_text=True)
+def test_subfigure_scatter_size():
+    # markers in the left- and right-most subplots should be the same
+    fig = plt.figure()
+    gs = fig.add_gridspec(1, 2)
+    ax0 = fig.add_subplot(gs[1])
+    ax0.scatter([1, 2, 3], [1, 2, 3], s=30, marker='s')
+    ax0.scatter([3, 4, 5], [1, 2, 3], s=[20, 30, 40], marker='s')
+
+    sfig = fig.add_subfigure(gs[0])
+    axs = sfig.subplots(1, 2)
+    for ax in [ax0, axs[0]]:
+        ax.scatter([1, 2, 3], [1, 2, 3], s=30, marker='s', color='r')
+        ax.scatter([3, 4, 5], [1, 2, 3], s=[20, 30, 40], marker='s', color='g')
+
+
+def test_subfigure_pdf():
+    fig = plt.figure(layout='constrained')
+    sub_fig = fig.subfigures()
+    ax = sub_fig.add_subplot(111)
+    b = ax.bar(1, 1)
+    ax.bar_label(b)
+    buffer = io.BytesIO()
+    fig.savefig(buffer, format='pdf')
+
+
+def test_subfigures_wspace_hspace():
+    sub_figs = plt.figure().subfigures(2, 3, hspace=0.5, wspace=1/6.)
+
+    w = 640
+    h = 480
+
+    np.testing.assert_allclose(sub_figs[0, 0].bbox.min, [0., h * 0.6])
+    np.testing.assert_allclose(sub_figs[0, 0].bbox.max, [w * 0.3, h])
+
+    np.testing.assert_allclose(sub_figs[0, 1].bbox.min, [w * 0.35, h * 0.6])
+    np.testing.assert_allclose(sub_figs[0, 1].bbox.max, [w * 0.65, h])
+
+    np.testing.assert_allclose(sub_figs[0, 2].bbox.min, [w * 0.7, h * 0.6])
+    np.testing.assert_allclose(sub_figs[0, 2].bbox.max, [w, h])
+
+    np.testing.assert_allclose(sub_figs[1, 0].bbox.min, [0, 0])
+    np.testing.assert_allclose(sub_figs[1, 0].bbox.max, [w * 0.3, h * 0.4])
+
+    np.testing.assert_allclose(sub_figs[1, 1].bbox.min, [w * 0.35, 0])
+    np.testing.assert_allclose(sub_figs[1, 1].bbox.max, [w * 0.65, h * 0.4])
+
+    np.testing.assert_allclose(sub_figs[1, 2].bbox.min, [w * 0.7, 0])
+    np.testing.assert_allclose(sub_figs[1, 2].bbox.max, [w, h * 0.4])
+
+
+def test_subfigure_remove():
+    fig = plt.figure()
+    sfs = fig.subfigures(2, 2)
+    sfs[1, 1].remove()
+    assert len(fig.subfigs) == 3
+
+
+def test_add_subplot_kwargs():
+    # fig.add_subplot() always creates new axes, even if axes kwargs differ.
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1)
+    ax1 = fig.add_subplot(1, 1, 1)
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1, projection='polar')
+    ax1 = fig.add_subplot(1, 1, 1, projection='polar')
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1, projection='polar')
+    ax1 = fig.add_subplot(1, 1, 1)
+    assert ax is not None
+    assert ax1.name == 'rectilinear'
+    assert ax1 is not ax
+    plt.close()
+
+
+def test_add_axes_kwargs():
+    # fig.add_axes() always creates new axes, even if axes kwargs differ.
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1])
+    ax1 = fig.add_axes([0, 0, 1, 1])
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1], projection='polar')
+    ax1 = fig.add_axes([0, 0, 1, 1], projection='polar')
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1], projection='polar')
+    ax1 = fig.add_axes([0, 0, 1, 1])
+    assert ax is not None
+    assert ax1.name == 'rectilinear'
+    assert ax1 is not ax
+    plt.close()
+
+
+def test_ginput(recwarn):  # recwarn undoes warn filters at exit.
+    warnings.filterwarnings("ignore", "cannot show the figure")
+    fig, ax = plt.subplots()
+    trans = ax.transData.transform
+
+    def single_press():
+        MouseEvent("button_press_event", fig.canvas, *trans((.1, .2)), 1)._process()
+
+    Timer(.1, single_press).start()
+    assert fig.ginput() == [(.1, .2)]
+
+    def multi_presses():
+        MouseEvent("button_press_event", fig.canvas, *trans((.1, .2)), 1)._process()
+        KeyEvent("key_press_event", fig.canvas, "backspace")._process()
+        MouseEvent("button_press_event", fig.canvas, *trans((.3, .4)), 1)._process()
+        MouseEvent("button_press_event", fig.canvas, *trans((.5, .6)), 1)._process()
+        MouseEvent("button_press_event", fig.canvas, *trans((0, 0)), 2)._process()
+
+    Timer(.1, multi_presses).start()
+    np.testing.assert_allclose(fig.ginput(3), [(.3, .4), (.5, .6)])
+
+
+def test_waitforbuttonpress(recwarn):  # recwarn undoes warn filters at exit.
+    warnings.filterwarnings("ignore", "cannot show the figure")
+    fig = plt.figure()
+    assert fig.waitforbuttonpress(timeout=.1) is None
+    Timer(.1, KeyEvent("key_press_event", fig.canvas, "z")._process).start()
+    assert fig.waitforbuttonpress() is True
+    Timer(.1, MouseEvent("button_press_event", fig.canvas, 0, 0, 1)._process).start()
+    assert fig.waitforbuttonpress() is False
+
+
+def test_kwargs_pass():
+    fig = Figure(label='whole Figure')
+    sub_fig = fig.subfigures(1, 1, label='sub figure')
+
+    assert fig.get_label() == 'whole Figure'
+    assert sub_fig.get_label() == 'sub figure'
+
+
+@check_figures_equal()
+def test_rcparams(fig_test, fig_ref):
+    fig_ref.supxlabel("xlabel", weight='bold', size=15)
+    fig_ref.supylabel("ylabel", weight='bold', size=15)
+    fig_ref.suptitle("Title", weight='light', size=20)
+    with mpl.rc_context({'figure.labelweight': 'bold',
+                         'figure.labelsize': 15,
+                         'figure.titleweight': 'light',
+                         'figure.titlesize': 20}):
+        fig_test.supxlabel("xlabel")
+        fig_test.supylabel("ylabel")
+        fig_test.suptitle("Title")
+
+
+def test_deepcopy():
+    fig1, ax = plt.subplots()
+    ax.plot([0, 1], [2, 3])
+    ax.set_yscale('log')
+
+    fig2 = copy.deepcopy(fig1)
+
+    # Make sure it is a new object
+    assert fig2.axes[0] is not ax
+    # And that the axis scale got propagated
+    assert fig2.axes[0].get_yscale() == 'log'
+    # Update the deepcopy and check the original isn't modified
+    fig2.axes[0].set_yscale('linear')
+    assert ax.get_yscale() == 'log'
+
+    # And test the limits of the axes don't get propagated
+    ax.set_xlim(1e-1, 1e2)
+    # Draw these to make sure limits are updated
+    fig1.draw_without_rendering()
+    fig2.draw_without_rendering()
+
+    assert ax.get_xlim() == (1e-1, 1e2)
+    assert fig2.axes[0].get_xlim() == (0, 1)
+
+
+def test_unpickle_with_device_pixel_ratio():
+    fig = Figure(dpi=42)
+    fig.canvas._set_device_pixel_ratio(7)
+    assert fig.dpi == 42*7
+    fig2 = pickle.loads(pickle.dumps(fig))
+    assert fig2.dpi == 42
+
+
+def test_gridspec_no_mutate_input():
+    gs = {'left': .1}
+    gs_orig = dict(gs)
+    plt.subplots(1, 2, width_ratios=[1, 2], gridspec_kw=gs)
+    assert gs == gs_orig
+    plt.subplot_mosaic('AB', width_ratios=[1, 2], gridspec_kw=gs)
+
+
+@pytest.mark.parametrize('fmt', ['eps', 'pdf', 'png', 'ps', 'svg', 'svgz'])
+def test_savefig_metadata(fmt):
+    Figure().savefig(io.BytesIO(), format=fmt, metadata={})
+
+
+@pytest.mark.parametrize('fmt', ['jpeg', 'jpg', 'tif', 'tiff', 'webp', "raw", "rgba"])
+def test_savefig_metadata_error(fmt):
+    with pytest.raises(ValueError, match="metadata not supported"):
+        Figure().savefig(io.BytesIO(), format=fmt, metadata={})
+
+
+def test_get_constrained_layout_pads():
+    params = {'w_pad': 0.01, 'h_pad': 0.02, 'wspace': 0.03, 'hspace': 0.04}
+    expected = tuple([*params.values()])
+    fig = plt.figure(layout=mpl.layout_engine.ConstrainedLayoutEngine(**params))
+    with pytest.warns(PendingDeprecationWarning, match="will be deprecated"):
+        assert fig.get_constrained_layout_pads() == expected
+
+
+def test_not_visible_figure():
+    fig = Figure()
+
+    buf = io.StringIO()
+    fig.savefig(buf, format='svg')
+    buf.seek(0)
+    assert '<g ' in buf.read()
+
+    fig.set_visible(False)
+    buf = io.StringIO()
+    fig.savefig(buf, format='svg')
+    buf.seek(0)
+    assert '<g ' not in buf.read()
+
+
+def test_warn_colorbar_mismatch():
+    fig1, ax1 = plt.subplots()
+    fig2, (ax2_1, ax2_2) = plt.subplots(2)
+    im = ax1.imshow([[1, 2], [3, 4]])
+
+    fig1.colorbar(im)  # should not warn
+    with pytest.warns(UserWarning, match="different Figure"):
+        fig2.colorbar(im)
+    # warn mismatch even when the host figure is not inferred
+    with pytest.warns(UserWarning, match="different Figure"):
+        fig2.colorbar(im, ax=ax1)
+    with pytest.warns(UserWarning, match="different Figure"):
+        fig2.colorbar(im, ax=ax2_1)
+    with pytest.warns(UserWarning, match="different Figure"):
+        fig2.colorbar(im, cax=ax2_2)
+
+    # edge case: only compare top level artist in case of subfigure
+    fig3 = plt.figure()
+    fig4 = plt.figure()
+    subfig3_1 = fig3.subfigures()
+    subfig3_2 = fig3.subfigures()
+    subfig4_1 = fig4.subfigures()
+    ax3_1 = subfig3_1.subplots()
+    ax3_2 = subfig3_1.subplots()
+    ax4_1 = subfig4_1.subplots()
+    im3_1 = ax3_1.imshow([[1, 2], [3, 4]])
+    im3_2 = ax3_2.imshow([[1, 2], [3, 4]])
+    im4_1 = ax4_1.imshow([[1, 2], [3, 4]])
+
+    fig3.colorbar(im3_1)   # should not warn
+    subfig3_1.colorbar(im3_1)   # should not warn
+    subfig3_1.colorbar(im3_2)   # should not warn
+    with pytest.warns(UserWarning, match="different Figure"):
+        subfig3_1.colorbar(im4_1)
+
+
+def test_clf_subplotpars():
+    keys = ('left', 'right', 'bottom', 'top', 'wspace', 'hspace')
+    rc_params = {key: plt.rcParams['figure.subplot.' + key] for key in keys}
+
+    fig = plt.figure(1)
+    fig.subplots_adjust(**{k: v+0.01 for k, v in rc_params.items()})
+    fig.clf()
+    assert fig.subplotpars.to_dict() == rc_params
+
+
+def test_suplots_adjust_incremental():
+    fig = plt.figure()
+    fig.subplots_adjust(left=0)
+    fig.subplots_adjust(right=1)
+    assert fig.subplotpars.left == 0
+    assert fig.subplotpars.right == 1
+
+
+def test_set_figure():
+    fig = plt.figure()
+    sfig1 = fig.subfigures()
+    sfig2 = sfig1.subfigures()
+
+    for f in fig, sfig1, sfig2:
+        with pytest.warns(mpl.MatplotlibDeprecationWarning):
+            f.set_figure(fig)
+
+    with pytest.raises(ValueError, match="cannot be changed"):
+        sfig2.set_figure(sfig1)
+
+    with pytest.raises(ValueError, match="cannot be changed"):
+        sfig1.set_figure(plt.figure())
+
+
+def test_subfigure_row_order():
+    # Test that subfigures are drawn in row-major order.
+    fig = plt.figure()
+    sf_arr = fig.subfigures(4, 3)
+    for a, b in zip(sf_arr.ravel(), fig.subfigs):
+        assert a is b
+
+
+def test_subfigure_stale_propagation():
+    fig = plt.figure()
+
+    fig.draw_without_rendering()
+    assert not fig.stale
+
+    sfig1 = fig.subfigures()
+    assert fig.stale
+
+    fig.draw_without_rendering()
+    assert not fig.stale
+    assert not sfig1.stale
+
+    sfig2 = sfig1.subfigures()
+    assert fig.stale
+    assert sfig1.stale
+
+    fig.draw_without_rendering()
+    assert not fig.stale
+    assert not sfig1.stale
+    assert not sfig2.stale
+
+    sfig2.stale = True
+    assert sfig1.stale
+    assert fig.stale
+
 
-    with warnings.catch_warnings(record=True) as w:
-        for i in range(22):
-            fig = plt.figure()
-    assert len(w) == 1
+@pytest.mark.parametrize("figsize, figsize_inches", [
+    ((6, 4), (6, 4)),
+    ((6, 4, "in"), (6, 4)),
+    ((5.08, 2.54, "cm"), (2, 1)),
+    ((600, 400, "px"), (6, 4)),
+])
+def test_figsize(figsize, figsize_inches):
+    fig = plt.figure(figsize=figsize, dpi=100)
+    assert tuple(fig.get_size_inches()) == figsize_inches
 
 
-if __name__ == "__main__":
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_figsize_invalid_unit():
+    with pytest.raises(ValueError, match="Invalid unit 'um'"):
+        plt.figure(figsize=(6, 4, "um"))
diff --git a/lib/matplotlib/tests/test_font_manager.py b/lib/matplotlib/tests/test_font_manager.py
index df2675219023..97ee8672b1d4 100644
--- a/lib/matplotlib/tests/test_font_manager.py
+++ b/lib/matplotlib/tests/test_font_manager.py
@@ -1,19 +1,409 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from io import BytesIO, StringIO
+import gc
+import multiprocessing
+import os
+from pathlib import Path
+from PIL import Image
+import shutil
+import sys
+import warnings
 
-from nose.tools import assert_equal
-import six
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib.font_manager import (
+    findfont, findSystemFonts, FontEntry, FontProperties, fontManager,
+    json_dump, json_load, get_font, is_opentype_cff_font,
+    MSUserFontDirectories, _get_fontconfig_fonts, ttfFontProperty)
+from matplotlib import cbook, ft2font, pyplot as plt, rc_context, figure as mfigure
+from matplotlib.testing import subprocess_run_helper, subprocess_run_for_testing
 
-import os
 
-from matplotlib.font_manager import findfont, FontProperties
-from matplotlib import rc_context
+has_fclist = shutil.which('fc-list') is not None
 
 
 def test_font_priority():
     with rc_context(rc={
             'font.sans-serif':
             ['cmmi10', 'Bitstream Vera Sans']}):
-        font = findfont(
-            FontProperties(family=["sans-serif"]))
-    assert_equal(os.path.basename(font), 'cmmi10.ttf')
+        fontfile = findfont(FontProperties(family=["sans-serif"]))
+    assert Path(fontfile).name == 'cmmi10.ttf'
+
+    # Smoketest get_charmap, which isn't used internally anymore
+    font = get_font(fontfile)
+    cmap = font.get_charmap()
+    assert len(cmap) == 131
+    assert cmap[8729] == 30
+
+
+def test_score_weight():
+    assert 0 == fontManager.score_weight("regular", "regular")
+    assert 0 == fontManager.score_weight("bold", "bold")
+    assert (0 < fontManager.score_weight(400, 400) <
+            fontManager.score_weight("normal", "bold"))
+    assert (0 < fontManager.score_weight("normal", "regular") <
+            fontManager.score_weight("normal", "bold"))
+    assert (fontManager.score_weight("normal", "regular") ==
+            fontManager.score_weight(400, 400))
+
+
+def test_json_serialization(tmp_path):
+    # Can't open a NamedTemporaryFile twice on Windows, so use a temporary
+    # directory instead.
+    json_dump(fontManager, tmp_path / "fontlist.json")
+    copy = json_load(tmp_path / "fontlist.json")
+    with warnings.catch_warnings():
+        warnings.filterwarnings('ignore', 'findfont: Font family.*not found')
+        for prop in ({'family': 'STIXGeneral'},
+                     {'family': 'Bitstream Vera Sans', 'weight': 700},
+                     {'family': 'no such font family'}):
+            fp = FontProperties(**prop)
+            assert (fontManager.findfont(fp, rebuild_if_missing=False) ==
+                    copy.findfont(fp, rebuild_if_missing=False))
+
+
+def test_otf():
+    fname = '/usr/share/fonts/opentype/freefont/FreeMono.otf'
+    if Path(fname).exists():
+        assert is_opentype_cff_font(fname)
+    for f in fontManager.ttflist:
+        if 'otf' in f.fname:
+            with open(f.fname, 'rb') as fd:
+                res = fd.read(4) == b'OTTO'
+            assert res == is_opentype_cff_font(f.fname)
+
+
+@pytest.mark.skipif(sys.platform == "win32" or not has_fclist,
+                    reason='no fontconfig installed')
+def test_get_fontconfig_fonts():
+    assert len(_get_fontconfig_fonts()) > 1
+
+
+@pytest.mark.parametrize('factor', [2, 4, 6, 8])
+def test_hinting_factor(factor):
+    font = findfont(FontProperties(family=["sans-serif"]))
+
+    font1 = get_font(font, hinting_factor=1)
+    font1.clear()
+    font1.set_size(12, 100)
+    font1.set_text('abc')
+    expected = font1.get_width_height()
+
+    hinted_font = get_font(font, hinting_factor=factor)
+    hinted_font.clear()
+    hinted_font.set_size(12, 100)
+    hinted_font.set_text('abc')
+    # Check that hinting only changes text layout by a small (10%) amount.
+    np.testing.assert_allclose(hinted_font.get_width_height(), expected,
+                               rtol=0.1)
+
+
+def test_utf16m_sfnt():
+    try:
+        # seguisbi = Microsoft Segoe UI Semibold
+        entry = next(entry for entry in fontManager.ttflist
+                     if Path(entry.fname).name == "seguisbi.ttf")
+    except StopIteration:
+        pytest.skip("Couldn't find seguisbi.ttf font to test against.")
+    else:
+        # Check that we successfully read "semibold" from the font's sfnt table
+        # and set its weight accordingly.
+        assert entry.weight == 600
+
+
+def test_find_ttc():
+    fp = FontProperties(family=["WenQuanYi Zen Hei"])
+    if Path(findfont(fp)).name != "wqy-zenhei.ttc":
+        pytest.skip("Font wqy-zenhei.ttc may be missing")
+    fig, ax = plt.subplots()
+    ax.text(.5, .5, "\N{KANGXI RADICAL DRAGON}", fontproperties=fp)
+    for fmt in ["raw", "svg", "pdf", "ps"]:
+        fig.savefig(BytesIO(), format=fmt)
+
+
+def test_find_noto():
+    fp = FontProperties(family=["Noto Sans CJK SC", "Noto Sans CJK JP"])
+    name = Path(findfont(fp)).name
+    if name not in ("NotoSansCJKsc-Regular.otf", "NotoSansCJK-Regular.ttc"):
+        pytest.skip(f"Noto Sans CJK SC font may be missing (found {name})")
+
+    fig, ax = plt.subplots()
+    ax.text(0.5, 0.5, 'Hello, 你好', fontproperties=fp)
+    for fmt in ["raw", "svg", "pdf", "ps"]:
+        fig.savefig(BytesIO(), format=fmt)
+
+
+def test_find_invalid(tmp_path):
+
+    with pytest.raises(FileNotFoundError):
+        get_font(tmp_path / 'non-existent-font-name.ttf')
+
+    with pytest.raises(FileNotFoundError):
+        get_font(str(tmp_path / 'non-existent-font-name.ttf'))
+
+    with pytest.raises(FileNotFoundError):
+        get_font(bytes(tmp_path / 'non-existent-font-name.ttf'))
+
+    # Not really public, but get_font doesn't expose non-filename constructor.
+    from matplotlib.ft2font import FT2Font
+    with pytest.raises(TypeError, match='font file or a binary-mode file'):
+        FT2Font(StringIO())  # type: ignore[arg-type]
+
+
+@pytest.mark.skipif(sys.platform != 'linux' or not has_fclist,
+                    reason='only Linux with fontconfig installed')
+def test_user_fonts_linux(tmpdir, monkeypatch):
+    font_test_file = 'mpltest.ttf'
+
+    # Precondition: the test font should not be available
+    fonts = findSystemFonts()
+    if any(font_test_file in font for font in fonts):
+        pytest.skip(f'{font_test_file} already exists in system fonts')
+
+    # Prepare a temporary user font directory
+    user_fonts_dir = tmpdir.join('fonts')
+    user_fonts_dir.ensure(dir=True)
+    shutil.copyfile(Path(__file__).parent / 'data' / font_test_file,
+                    user_fonts_dir.join(font_test_file))
+
+    with monkeypatch.context() as m:
+        m.setenv('XDG_DATA_HOME', str(tmpdir))
+        _get_fontconfig_fonts.cache_clear()
+        # Now, the font should be available
+        fonts = findSystemFonts()
+        assert any(font_test_file in font for font in fonts)
+
+    # Make sure the temporary directory is no longer cached.
+    _get_fontconfig_fonts.cache_clear()
+
+
+def test_addfont_as_path():
+    """Smoke test that addfont() accepts pathlib.Path."""
+    font_test_file = 'mpltest.ttf'
+    path = Path(__file__).parent / 'data' / font_test_file
+    try:
+        fontManager.addfont(path)
+        added, = (font for font in fontManager.ttflist
+                  if font.fname.endswith(font_test_file))
+        fontManager.ttflist.remove(added)
+    finally:
+        to_remove = [font for font in fontManager.ttflist
+                     if font.fname.endswith(font_test_file)]
+        for font in to_remove:
+            fontManager.ttflist.remove(font)
+
+
+@pytest.mark.skipif(sys.platform != 'win32', reason='Windows only')
+def test_user_fonts_win32():
+    if not (os.environ.get('APPVEYOR') or os.environ.get('TF_BUILD')):
+        pytest.xfail("This test should only run on CI (appveyor or azure) "
+                     "as the developer's font directory should remain "
+                     "unchanged.")
+    pytest.xfail("We need to update the registry for this test to work")
+    font_test_file = 'mpltest.ttf'
+
+    # Precondition: the test font should not be available
+    fonts = findSystemFonts()
+    if any(font_test_file in font for font in fonts):
+        pytest.skip(f'{font_test_file} already exists in system fonts')
+
+    user_fonts_dir = MSUserFontDirectories[0]
+
+    # Make sure that the user font directory exists (this is probably not the
+    # case on Windows versions < 1809)
+    os.makedirs(user_fonts_dir)
+
+    # Copy the test font to the user font directory
+    shutil.copy(Path(__file__).parent / 'data' / font_test_file, user_fonts_dir)
+
+    # Now, the font should be available
+    fonts = findSystemFonts()
+    assert any(font_test_file in font for font in fonts)
+
+
+def _model_handler(_):
+    fig, ax = plt.subplots()
+    fig.savefig(BytesIO(), format="pdf")
+    plt.close()
+
+
+@pytest.mark.skipif(not hasattr(os, "register_at_fork"),
+                    reason="Cannot register at_fork handlers")
+def test_fork():
+    _model_handler(0)  # Make sure the font cache is filled.
+    ctx = multiprocessing.get_context("fork")
+    with ctx.Pool(processes=2) as pool:
+        pool.map(_model_handler, range(2))
+
+
+def test_missing_family(caplog):
+    plt.rcParams["font.sans-serif"] = ["this-font-does-not-exist"]
+    with caplog.at_level("WARNING"):
+        findfont("sans")
+    assert [rec.getMessage() for rec in caplog.records] == [
+        "findfont: Font family ['sans'] not found. "
+        "Falling back to DejaVu Sans.",
+        "findfont: Generic family 'sans' not found because none of the "
+        "following families were found: this-font-does-not-exist",
+    ]
+
+
+def _test_threading():
+    import threading
+    from matplotlib.ft2font import LoadFlags
+    import matplotlib.font_manager as fm
+
+    def loud_excepthook(args):
+        raise RuntimeError("error in thread!")
+
+    threading.excepthook = loud_excepthook
+
+    N = 10
+    b = threading.Barrier(N)
+
+    def bad_idea(n):
+        b.wait(timeout=5)
+        for j in range(100):
+            font = fm.get_font(fm.findfont("DejaVu Sans"))
+            font.set_text(str(n), 0.0, flags=LoadFlags.NO_HINTING)
+
+    threads = [
+        threading.Thread(target=bad_idea, name=f"bad_thread_{j}", args=(j,))
+        for j in range(N)
+    ]
+
+    for t in threads:
+        t.start()
+
+    for t in threads:
+        t.join(timeout=9)
+        if t.is_alive():
+            raise RuntimeError("thread failed to join")
+
+
+def test_fontcache_thread_safe():
+    pytest.importorskip('threading')
+
+    subprocess_run_helper(_test_threading, timeout=10)
+
+
+def test_lockfilefailure(tmp_path):
+    # The logic here:
+    # 1. get a temp directory from pytest
+    # 2. import matplotlib which makes sure it exists
+    # 3. get the cache dir (where we check it is writable)
+    # 4. make it not writable
+    # 5. try to write into it via font manager
+    proc = subprocess_run_for_testing(
+        [
+            sys.executable,
+            "-c",
+            "import matplotlib;"
+            "import os;"
+            "p = matplotlib.get_cachedir();"
+            "os.chmod(p, 0o555);"
+            "import matplotlib.font_manager;"
+        ],
+        env={**os.environ, 'MPLCONFIGDIR': str(tmp_path)},
+        check=True
+    )
+
+
+def test_fontentry_dataclass():
+    fontent = FontEntry(name='font-name')
+
+    png = fontent._repr_png_()
+    img = Image.open(BytesIO(png))
+    assert img.width > 0
+    assert img.height > 0
+
+    html = fontent._repr_html_()
+    assert html.startswith("<img src=\"data:image/png;base64")
+
+
+def test_fontentry_dataclass_invalid_path():
+    with pytest.raises(FileNotFoundError):
+        fontent = FontEntry(fname='/random', name='font-name')
+        fontent._repr_html_()
+
+
+@pytest.mark.skipif(sys.platform == 'win32', reason='Linux or OS only')
+def test_get_font_names():
+    paths_mpl = [cbook._get_data_path('fonts', subdir) for subdir in ['ttf']]
+    fonts_mpl = findSystemFonts(paths_mpl, fontext='ttf')
+    fonts_system = findSystemFonts(fontext='ttf')
+    ttf_fonts = []
+    for path in fonts_mpl + fonts_system:
+        try:
+            font = ft2font.FT2Font(path)
+            prop = ttfFontProperty(font)
+            ttf_fonts.append(prop.name)
+        except Exception:
+            pass
+    available_fonts = sorted(list(set(ttf_fonts)))
+    mpl_font_names = sorted(fontManager.get_font_names())
+    assert set(available_fonts) == set(mpl_font_names)
+    assert len(available_fonts) == len(mpl_font_names)
+    assert available_fonts == mpl_font_names
+
+
+def test_donot_cache_tracebacks():
+
+    class SomeObject:
+        pass
+
+    def inner():
+        x = SomeObject()
+        fig = mfigure.Figure()
+        ax = fig.subplots()
+        fig.text(.5, .5, 'aardvark', family='doesnotexist')
+        with BytesIO() as out:
+            with warnings.catch_warnings():
+                warnings.filterwarnings('ignore')
+                fig.savefig(out, format='raw')
+
+    inner()
+
+    for obj in gc.get_objects():
+        if isinstance(obj, SomeObject):
+            pytest.fail("object from inner stack still alive")
+
+
+def test_fontproperties_init_deprecation():
+    """
+    Test the deprecated API of FontProperties.__init__.
+
+    The deprecation does not change behavior, it only adds a deprecation warning
+    via a decorator. Therefore, the purpose of this test is limited to check
+    which calls do and do not issue deprecation warnings. Behavior is still
+    tested via the existing regular tests.
+    """
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        # multiple positional arguments
+        FontProperties("Times", "italic")
+
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        # Mixed positional and keyword arguments
+        FontProperties("Times", size=10)
+
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        # passing a family list positionally
+        FontProperties(["Times"])
+
+    # still accepted:
+    FontProperties(family="Times", style="italic")
+    FontProperties(family="Times")
+    FontProperties("Times")  # works as pattern and family
+    FontProperties("serif-24:style=oblique:weight=bold")  # pattern
+
+    # also still accepted:
+    # passing as pattern via family kwarg was not covered by the docs but
+    # historically worked. This is left unchanged for now.
+    # AFAICT, we cannot detect this: We can determine whether a string
+    # works as pattern, but that doesn't help, because there are strings
+    # that are both pattern and family. We would need to identify, whether
+    # a string is *not* a valid family.
+    # Since this case is not covered by docs, I've refrained from jumping
+    # extra hoops to detect this possible API misuse.
+    FontProperties(family="serif-24:style=oblique:weight=bold")
diff --git a/lib/matplotlib/tests/test_fontconfig_pattern.py b/lib/matplotlib/tests/test_fontconfig_pattern.py
new file mode 100644
index 000000000000..496a35b95cf2
--- /dev/null
+++ b/lib/matplotlib/tests/test_fontconfig_pattern.py
@@ -0,0 +1,77 @@
+import pytest
+
+from matplotlib.font_manager import FontProperties
+
+
+# Attributes on FontProperties object to check for consistency
+keys = [
+    "get_family",
+    "get_style",
+    "get_variant",
+    "get_weight",
+    "get_size",
+    ]
+
+
+def test_fontconfig_pattern():
+    """Test converting a FontProperties to string then back."""
+
+    # Defaults
+    test = "defaults "
+    f1 = FontProperties()
+    s = str(f1)
+
+    f2 = FontProperties(s)
+    for k in keys:
+        assert getattr(f1, k)() == getattr(f2, k)(), test + k
+
+    # Basic inputs
+    test = "basic "
+    f1 = FontProperties(family="serif", size=20, style="italic")
+    s = str(f1)
+
+    f2 = FontProperties(s)
+    for k in keys:
+        assert getattr(f1, k)() == getattr(f2, k)(), test + k
+
+    # Full set of inputs.
+    test = "full "
+    f1 = FontProperties(family="sans-serif", size=24, weight="bold",
+                        style="oblique", variant="small-caps",
+                        stretch="expanded")
+    s = str(f1)
+
+    f2 = FontProperties(s)
+    for k in keys:
+        assert getattr(f1, k)() == getattr(f2, k)(), test + k
+
+
+def test_fontconfig_str():
+    """Test FontProperties string conversions for correctness."""
+
+    # Known good strings taken from actual font config specs on a linux box
+    # and modified for MPL defaults.
+
+    # Default values found by inspection.
+    test = "defaults "
+    s = ("sans\\-serif:style=normal:variant=normal:weight=normal"
+         ":stretch=normal:size=12.0")
+    font = FontProperties(s)
+    right = FontProperties()
+    for k in keys:
+        assert getattr(font, k)() == getattr(right, k)(), test + k
+
+    test = "full "
+    s = ("serif-24:style=oblique:variant=small-caps:weight=bold"
+         ":stretch=expanded")
+    font = FontProperties(s)
+    right = FontProperties(family="serif", size=24, weight="bold",
+                           style="oblique", variant="small-caps",
+                           stretch="expanded")
+    for k in keys:
+        assert getattr(font, k)() == getattr(right, k)(), test + k
+
+
+def test_fontconfig_unknown_constant():
+    with pytest.raises(ValueError, match="ParseException"):
+        FontProperties(":unknown")
diff --git a/lib/matplotlib/tests/test_ft2font.py b/lib/matplotlib/tests/test_ft2font.py
new file mode 100644
index 000000000000..8b448e17b7fd
--- /dev/null
+++ b/lib/matplotlib/tests/test_ft2font.py
@@ -0,0 +1,913 @@
+import itertools
+import io
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib import ft2font
+from matplotlib.testing import _gen_multi_font_text
+from matplotlib.testing.decorators import image_comparison
+import matplotlib.font_manager as fm
+import matplotlib.path as mpath
+import matplotlib.pyplot as plt
+
+
+def test_ft2image_draw_rect_filled():
+    width = 23
+    height = 42
+    for x0, y0, x1, y1 in itertools.product([1, 100], [2, 200], [4, 400], [8, 800]):
+        with pytest.warns(mpl.MatplotlibDeprecationWarning):
+            im = ft2font.FT2Image(width, height)
+        im.draw_rect_filled(x0, y0, x1, y1)
+        a = np.asarray(im)
+        assert a.dtype == np.uint8
+        assert a.shape == (height, width)
+        if x0 == 100 or y0 == 200:
+            # All the out-of-bounds starts should get automatically clipped.
+            assert np.sum(a) == 0
+        else:
+            # Otherwise, ends are clipped to the dimension, but are also _inclusive_.
+            filled = (min(x1 + 1, width) - x0) * (min(y1 + 1, height) - y0)
+            assert np.sum(a) == 255 * filled
+
+
+def test_ft2font_dejavu_attrs():
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file)
+    assert font.fname == file
+    # Names extracted from FontForge: Font Information → PS Names tab.
+    assert font.postscript_name == 'DejaVuSans'
+    assert font.family_name == 'DejaVu Sans'
+    assert font.style_name == 'Book'
+    assert font.num_faces == 1  # Single TTF.
+    assert font.num_named_instances == 0  # Not a variable font.
+    assert font.num_glyphs == 6241  # From compact encoding view in FontForge.
+    assert font.num_fixed_sizes == 0  # All glyphs are scalable.
+    assert font.num_charmaps == 5
+    # Other internal flags are set, so only check the ones we're allowed to test.
+    expected_flags = (ft2font.FaceFlags.SCALABLE | ft2font.FaceFlags.SFNT |
+                      ft2font.FaceFlags.HORIZONTAL | ft2font.FaceFlags.KERNING |
+                      ft2font.FaceFlags.GLYPH_NAMES)
+    assert expected_flags in font.face_flags
+    assert font.style_flags == ft2font.StyleFlags.NORMAL
+    assert font.scalable
+    # From FontForge: Font Information → General tab → entry name below.
+    assert font.units_per_EM == 2048  # Em Size.
+    assert font.underline_position == -175  # Underline position.
+    assert font.underline_thickness == 90  # Underline height.
+    # From FontForge: Font Information → OS/2 tab → Metrics tab → entry name below.
+    assert font.ascender == 1901  # HHead Ascent.
+    assert font.descender == -483  # HHead Descent.
+    # Unconfirmed values.
+    assert font.height == 2384
+    assert font.max_advance_width == 3838
+    assert font.max_advance_height == 2384
+    assert font.bbox == (-2090, -948, 3673, 2524)
+
+
+def test_ft2font_cm_attrs():
+    file = fm.findfont('cmtt10')
+    font = ft2font.FT2Font(file)
+    assert font.fname == file
+    # Names extracted from FontForge: Font Information → PS Names tab.
+    assert font.postscript_name == 'Cmtt10'
+    assert font.family_name == 'cmtt10'
+    assert font.style_name == 'Regular'
+    assert font.num_faces == 1  # Single TTF.
+    assert font.num_named_instances == 0  # Not a variable font.
+    assert font.num_glyphs == 133  # From compact encoding view in FontForge.
+    assert font.num_fixed_sizes == 0  # All glyphs are scalable.
+    assert font.num_charmaps == 2
+    # Other internal flags are set, so only check the ones we're allowed to test.
+    expected_flags = (ft2font.FaceFlags.SCALABLE | ft2font.FaceFlags.SFNT |
+                      ft2font.FaceFlags.HORIZONTAL | ft2font.FaceFlags.GLYPH_NAMES)
+    assert expected_flags in font.face_flags
+    assert font.style_flags == ft2font.StyleFlags.NORMAL
+    assert font.scalable
+    # From FontForge: Font Information → General tab → entry name below.
+    assert font.units_per_EM == 2048  # Em Size.
+    assert font.underline_position == -143  # Underline position.
+    assert font.underline_thickness == 20  # Underline height.
+    # From FontForge: Font Information → OS/2 tab → Metrics tab → entry name below.
+    assert font.ascender == 1276  # HHead Ascent.
+    assert font.descender == -489  # HHead Descent.
+    # Unconfirmed values.
+    assert font.height == 1765
+    assert font.max_advance_width == 1536
+    assert font.max_advance_height == 1765
+    assert font.bbox == (-12, -477, 1280, 1430)
+
+
+def test_ft2font_stix_bold_attrs():
+    file = fm.findfont('STIXSizeTwoSym:bold')
+    font = ft2font.FT2Font(file)
+    assert font.fname == file
+    # Names extracted from FontForge: Font Information → PS Names tab.
+    assert font.postscript_name == 'STIXSizeTwoSym-Bold'
+    assert font.family_name == 'STIXSizeTwoSym'
+    assert font.style_name == 'Bold'
+    assert font.num_faces == 1  # Single TTF.
+    assert font.num_named_instances == 0  # Not a variable font.
+    assert font.num_glyphs == 20  # From compact encoding view in FontForge.
+    assert font.num_fixed_sizes == 0  # All glyphs are scalable.
+    assert font.num_charmaps == 3
+    # Other internal flags are set, so only check the ones we're allowed to test.
+    expected_flags = (ft2font.FaceFlags.SCALABLE | ft2font.FaceFlags.SFNT |
+                      ft2font.FaceFlags.HORIZONTAL | ft2font.FaceFlags.GLYPH_NAMES)
+    assert expected_flags in font.face_flags
+    assert font.style_flags == ft2font.StyleFlags.BOLD
+    assert font.scalable
+    # From FontForge: Font Information → General tab → entry name below.
+    assert font.units_per_EM == 1000  # Em Size.
+    assert font.underline_position == -133  # Underline position.
+    assert font.underline_thickness == 20  # Underline height.
+    # From FontForge: Font Information → OS/2 tab → Metrics tab → entry name below.
+    assert font.ascender == 2095  # HHead Ascent.
+    assert font.descender == -404  # HHead Descent.
+    # Unconfirmed values.
+    assert font.height == 2499
+    assert font.max_advance_width == 1130
+    assert font.max_advance_height == 2499
+    assert font.bbox == (4, -355, 1185, 2095)
+
+
+def test_ft2font_invalid_args(tmp_path):
+    # filename argument.
+    with pytest.raises(TypeError, match='to a font file or a binary-mode file object'):
+        ft2font.FT2Font(None)
+    with pytest.raises(TypeError, match='to a font file or a binary-mode file object'):
+        ft2font.FT2Font(object())  # Not bytes or string, and has no read() method.
+    file = tmp_path / 'invalid-font.ttf'
+    file.write_text('This is not a valid font file.')
+    with (pytest.raises(TypeError, match='to a font file or a binary-mode file object'),
+          file.open('rt') as fd):
+        ft2font.FT2Font(fd)
+    with (pytest.raises(TypeError, match='to a font file or a binary-mode file object'),
+          file.open('wt') as fd):
+        ft2font.FT2Font(fd)
+    with (pytest.raises(TypeError, match='to a font file or a binary-mode file object'),
+          file.open('wb') as fd):
+        ft2font.FT2Font(fd)
+
+    file = fm.findfont('DejaVu Sans')
+
+    # hinting_factor argument.
+    with pytest.raises(TypeError, match='incompatible constructor arguments'):
+        ft2font.FT2Font(file, 1.3)
+    with pytest.raises(ValueError, match='hinting_factor must be greater than 0'):
+        ft2font.FT2Font(file, 0)
+
+    with pytest.raises(TypeError, match='incompatible constructor arguments'):
+        # failing to be a list will fail before the 0
+        ft2font.FT2Font(file, _fallback_list=(0,))  # type: ignore[arg-type]
+    with pytest.raises(TypeError, match='incompatible constructor arguments'):
+        ft2font.FT2Font(file, _fallback_list=[0])  # type: ignore[list-item]
+
+    # kerning_factor argument.
+    with pytest.raises(TypeError, match='incompatible constructor arguments'):
+        ft2font.FT2Font(file, _kerning_factor=1.3)
+
+
+def test_ft2font_clear():
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file)
+    assert font.get_num_glyphs() == 0
+    assert font.get_width_height() == (0, 0)
+    assert font.get_bitmap_offset() == (0, 0)
+    font.set_text('ABabCDcd')
+    assert font.get_num_glyphs() == 8
+    assert font.get_width_height() != (0, 0)
+    assert font.get_bitmap_offset() != (0, 0)
+    font.clear()
+    assert font.get_num_glyphs() == 0
+    assert font.get_width_height() == (0, 0)
+    assert font.get_bitmap_offset() == (0, 0)
+
+
+def test_ft2font_set_size():
+    file = fm.findfont('DejaVu Sans')
+    # Default is 12pt @ 72 dpi.
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=1)
+    font.set_text('ABabCDcd')
+    orig = font.get_width_height()
+    font.set_size(24, 72)
+    font.set_text('ABabCDcd')
+    assert font.get_width_height() == tuple(pytest.approx(2 * x, 1e-1) for x in orig)
+    font.set_size(12, 144)
+    font.set_text('ABabCDcd')
+    assert font.get_width_height() == tuple(pytest.approx(2 * x, 1e-1) for x in orig)
+
+
+def test_ft2font_charmaps():
+    def enc(name):
+        # We don't expose the encoding enum from FreeType, but can generate it here.
+        # For DejaVu, there are 5 charmaps, but only 2 have enum entries in FreeType.
+        e = 0
+        for x in name:
+            e <<= 8
+            e += ord(x)
+        return e
+
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file)
+    assert font.num_charmaps == 5
+
+    # Unicode.
+    font.select_charmap(enc('unic'))
+    unic = font.get_charmap()
+    font.set_charmap(0)  # Unicode platform, Unicode BMP only.
+    after = font.get_charmap()
+    assert len(after) <= len(unic)
+    for chr, glyph in after.items():
+        assert unic[chr] == glyph == font.get_char_index(chr)
+    font.set_charmap(1)  # Unicode platform, modern subtable.
+    after = font.get_charmap()
+    assert unic == after
+    font.set_charmap(3)  # Windows platform, Unicode BMP only.
+    after = font.get_charmap()
+    assert len(after) <= len(unic)
+    for chr, glyph in after.items():
+        assert unic[chr] == glyph == font.get_char_index(chr)
+    font.set_charmap(4)  # Windows platform, Unicode full repertoire, modern subtable.
+    after = font.get_charmap()
+    assert unic == after
+
+    # This is just a random sample from FontForge.
+    glyph_names = {
+        'non-existent-glyph-name': 0,
+        'plusminus': 115,
+        'Racute': 278,
+        'perthousand': 2834,
+        'seveneighths': 3057,
+        'triagup': 3721,
+        'uni01D3': 405,
+        'uni0417': 939,
+        'uni2A02': 4464,
+        'u1D305': 5410,
+        'u1F0A1': 5784,
+    }
+    for name, index in glyph_names.items():
+        assert font.get_name_index(name) == index
+        if name == 'non-existent-glyph-name':
+            name = '.notdef'
+        # This doesn't always apply, but it does for DejaVu Sans.
+        assert font.get_glyph_name(index) == name
+
+    # Apple Roman.
+    font.select_charmap(enc('armn'))
+    armn = font.get_charmap()
+    font.set_charmap(2)  # Macintosh platform, Roman.
+    after = font.get_charmap()
+    assert armn == after
+    assert len(armn) <= 256  # 8-bit encoding.
+    # The first 128 characters of Apple Roman match ASCII, which also matches Unicode.
+    for o in range(1, 128):
+        if o not in armn or o not in unic:
+            continue
+        assert unic[o] == armn[o]
+    # Check a couple things outside the ASCII set that are different in each charset.
+    examples = [
+        # (Unicode, Macintosh)
+        (0x2020, 0xA0),  # Dagger.
+        (0x00B0, 0xA1),  # Degree symbol.
+        (0x00A3, 0xA3),  # Pound sign.
+        (0x00A7, 0xA4),  # Section sign.
+        (0x00B6, 0xA6),  # Pilcrow.
+        (0x221E, 0xB0),  # Infinity symbol.
+    ]
+    for u, m in examples:
+        # Though the encoding is different, the glyph should be the same.
+        assert unic[u] == armn[m]
+
+
+_expected_sfnt_names = {
+    'DejaVu Sans': {
+        0: 'Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved.\n'
+           'Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved.\n'
+           'DejaVu changes are in public domain\n',
+        1: 'DejaVu Sans',
+        2: 'Book',
+        3: 'DejaVu Sans',
+        4: 'DejaVu Sans',
+        5: 'Version 2.35',
+        6: 'DejaVuSans',
+        8: 'DejaVu fonts team',
+        11: 'http://dejavu.sourceforge.net',
+        13: 'Fonts are (c) Bitstream (see below). '
+            'DejaVu changes are in public domain. '
+            '''Glyphs imported from Arev fonts are (c) Tavmjung Bah (see below)
+
+Bitstream Vera Fonts Copyright
+------------------------------
+
+Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Bitstream Vera is
+a trademark of Bitstream, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of the fonts accompanying this license ("Fonts") and associated
+documentation files (the "Font Software"), to reproduce and distribute the
+Font Software, including without limitation the rights to use, copy, merge,
+publish, distribute, and/or sell copies of the Font Software, and to permit
+persons to whom the Font Software is furnished to do so, subject to the
+following conditions:
+
+The above copyright and trademark notices and this permission notice shall
+be included in all copies of one or more of the Font Software typefaces.
+
+The Font Software may be modified, altered, or added to, and in particular
+the designs of glyphs or characters in the Fonts may be modified and
+additional glyphs or characters may be added to the Fonts, only if the fonts
+are renamed to names not containing either the words "Bitstream" or the word
+"Vera".
+
+This License becomes null and void to the extent applicable to Fonts or Font
+Software that has been modified and is distributed under the "Bitstream
+Vera" names.
+
+The Font Software may be sold as part of a larger software package but no
+copy of one or more of the Font Software typefaces may be sold by itself.
+
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT,
+TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL BITSTREAM OR THE GNOME
+FOUNDATION BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING
+ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES,
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF
+THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE
+FONT SOFTWARE.
+
+Except as contained in this notice, the names of Gnome, the Gnome
+Foundation, and Bitstream Inc., shall not be used in advertising or
+otherwise to promote the sale, use or other dealings in this Font Software
+without prior written authorization from the Gnome Foundation or Bitstream
+Inc., respectively. For further information, contact: fonts at gnome dot
+org. ''' '''
+
+Arev Fonts Copyright
+------------------------------
+
+Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the fonts accompanying this license ("Fonts") and
+associated documentation files (the "Font Software"), to reproduce
+and distribute the modifications to the Bitstream Vera Font Software,
+including without limitation the rights to use, copy, merge, publish,
+distribute, and/or sell copies of the Font Software, and to permit
+persons to whom the Font Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright and trademark notices and this permission notice
+shall be included in all copies of one or more of the Font Software
+typefaces.
+
+The Font Software may be modified, altered, or added to, and in
+particular the designs of glyphs or characters in the Fonts may be
+modified and additional glyphs or characters may be added to the
+Fonts, only if the fonts are renamed to names not containing either
+the words "Tavmjong Bah" or the word "Arev".
+
+This License becomes null and void to the extent applicable to Fonts
+or Font Software that has been modified and is distributed under the ''' '''
+"Tavmjong Bah Arev" names.
+
+The Font Software may be sold as part of a larger software package but
+no copy of one or more of the Font Software typefaces may be sold by
+itself.
+
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL
+TAVMJONG BAH BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.
+
+Except as contained in this notice, the name of Tavmjong Bah shall not
+be used in advertising or otherwise to promote the sale, use or other
+dealings in this Font Software without prior written authorization
+from Tavmjong Bah. For further information, contact: tavmjong @ free
+. fr.''',
+        14: 'http://dejavu.sourceforge.net/wiki/index.php/License',
+        16: 'DejaVu Sans',
+        17: 'Book',
+    },
+    'cmtt10': {
+        0: 'Copyright (C) 1994, Basil K. Malyshev. All Rights Reserved.'
+           '012BaKoMa Fonts Collection, Level-B.',
+        1: 'cmtt10',
+        2: 'Regular',
+        3: 'FontMonger:cmtt10',
+        4: 'cmtt10',
+        5: '1.1/12-Nov-94',
+        6: 'Cmtt10',
+    },
+    'STIXSizeTwoSym:bold': {
+        0: 'Copyright (c) 2001-2010 by the STI Pub Companies, consisting of the '
+           'American Chemical Society, the American Institute of Physics, the American '
+           'Mathematical Society, the American Physical Society, Elsevier, Inc., and '
+           'The Institute of Electrical and Electronic Engineers, Inc. Portions '
+           'copyright (c) 1998-2003 by MicroPress, Inc. Portions copyright (c) 1990 by '
+           'Elsevier, Inc. All rights reserved.',
+        1: 'STIXSizeTwoSym',
+        2: 'Bold',
+        3: 'FontMaster:STIXSizeTwoSym-Bold:1.0.0',
+        4: 'STIXSizeTwoSym-Bold',
+        5: 'Version 1.0.0',
+        6: 'STIXSizeTwoSym-Bold',
+        7: 'STIX Fonts(TM) is a trademark of The Institute of Electrical and '
+           'Electronics Engineers, Inc.',
+        9: 'MicroPress Inc., with final additions and corrections provided by Coen '
+           'Hoffman, Elsevier (retired)',
+        10: 'Arie de Ruiter, who in 1995 was Head of Information Technology '
+            'Development at Elsevier Science, made a proposal to the STI Pub group, an '
+            'informal group of publishers consisting of representatives from the '
+            'American Chemical Society (ACS), American Institute of Physics (AIP), '
+            'American Mathematical Society (AMS), American Physical Society (APS), '
+            'Elsevier, and Institute of Electrical and Electronics Engineers (IEEE). '
+            'De Ruiter encouraged the members to consider development of a series of '
+            'Web fonts, which he proposed should be called the Scientific and '
+            'Technical Information eXchange, or STIX, Fonts. All STI Pub member '
+            'organizations enthusiastically endorsed this proposal, and the STI Pub '
+            'group agreed to embark on what has become a twelve-year project. The goal '
+            'of the project was to identify all alphabetic, symbolic, and other '
+            'special characters used in any facet of scientific publishing and to '
+            'create a set of Unicode-based fonts that would be distributed free to '
+            'every scientist, student, and other interested party worldwide. The fonts '
+            'would be consistent with the emerging Unicode standard, and would permit '
+            'universal representation of every character. With the release of the STIX '
+            "fonts, de Ruiter's vision has been realized.",
+        11: 'http://www.stixfonts.org',
+        12: 'http://www.micropress-inc.com',
+        13: 'As a condition for receiving these fonts at no charge, each person '
+            'downloading the fonts must agree to some simple license terms. The '
+            'license is based on the SIL Open Font License '
+            '<http://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=OFL>. The '
+            'SIL License is a free and open source license specifically designed for '
+            'fonts and related software. The basic terms are that the recipient will '
+            'not remove the copyright and trademark statements from the fonts and '
+            'that, if the person decides to create a derivative work based on the STIX '
+            'Fonts but incorporating some changes or enhancements, the derivative work '
+            '("Modified Version") will carry a different name. The copyright and '
+            'trademark restrictions are part of the agreement between the STI Pub '
+            'companies and the typeface designer. The "renaming" restriction results '
+            'from the desire of the STI Pub companies to assure that the STIX Fonts '
+            'will continue to function in a predictable fashion for all that use them. '
+            'No copy of one or more of the individual Font typefaces that form the '
+            'STIX Fonts(TM) set may be sold by itself, but other than this one '
+            'restriction, licensees are free to sell the fonts either separately or as '
+            'part of a package that combines other software or fonts with this font '
+            'set.',
+        14: 'http://www.stixfonts.org/user_license.html',
+    },
+}
+
+
+@pytest.mark.parametrize('font_name, expected', _expected_sfnt_names.items(),
+                         ids=_expected_sfnt_names.keys())
+def test_ft2font_get_sfnt(font_name, expected):
+    file = fm.findfont(font_name)
+    font = ft2font.FT2Font(file)
+    sfnt = font.get_sfnt()
+    for name, value in expected.items():
+        # Macintosh, Unicode 1.0, English, name.
+        assert sfnt.pop((1, 0, 0, name)) == value.encode('ascii')
+        # Microsoft, Unicode, English United States, name.
+        assert sfnt.pop((3, 1, 1033, name)) == value.encode('utf-16be')
+    assert sfnt == {}
+
+
+_expected_sfnt_tables = {
+    'DejaVu Sans': {
+        'invalid': None,
+        'head': {
+            'version': (1, 0),
+            'fontRevision': (2, 22937),
+            'checkSumAdjustment': -175678572,
+            'magicNumber': 0x5F0F3CF5,
+            'flags': 31,
+            'unitsPerEm': 2048,
+            'created': (0, 3514699492), 'modified': (0, 3514699492),
+            'xMin': -2090, 'yMin': -948, 'xMax': 3673, 'yMax': 2524,
+            'macStyle': 0,
+            'lowestRecPPEM': 8,
+            'fontDirectionHint': 0,
+            'indexToLocFormat': 1,
+            'glyphDataFormat': 0,
+        },
+        'maxp': {
+            'version': (1, 0),
+            'numGlyphs': 6241,
+            'maxPoints': 852, 'maxComponentPoints': 104, 'maxTwilightPoints': 16,
+            'maxContours': 43, 'maxComponentContours': 12,
+            'maxZones': 2,
+            'maxStorage': 153,
+            'maxFunctionDefs': 64,
+            'maxInstructionDefs': 0,
+            'maxStackElements': 1045,
+            'maxSizeOfInstructions': 534,
+            'maxComponentElements': 8,
+            'maxComponentDepth': 4,
+        },
+        'OS/2': {
+            'version': 1,
+            'xAvgCharWidth': 1038,
+            'usWeightClass': 400, 'usWidthClass': 5,
+            'fsType': 0,
+            'ySubscriptXSize': 1331, 'ySubscriptYSize': 1433,
+            'ySubscriptXOffset': 0, 'ySubscriptYOffset': 286,
+            'ySuperscriptXSize': 1331, 'ySuperscriptYSize': 1433,
+            'ySuperscriptXOffset': 0, 'ySuperscriptYOffset': 983,
+            'yStrikeoutSize': 102, 'yStrikeoutPosition': 530,
+            'sFamilyClass': 0,
+            'panose': b'\x02\x0b\x06\x03\x03\x08\x04\x02\x02\x04',
+            'ulCharRange': (3875565311, 3523280383, 170156073, 67117068),
+            'achVendID': b'PfEd',
+            'fsSelection': 64, 'fsFirstCharIndex': 32, 'fsLastCharIndex': 65535,
+        },
+        'hhea': {
+            'version': (1, 0),
+            'ascent': 1901, 'descent': -483, 'lineGap': 0,
+            'advanceWidthMax': 3838,
+            'minLeftBearing': -2090, 'minRightBearing': -1455,
+            'xMaxExtent': 3673,
+            'caretSlopeRise': 1, 'caretSlopeRun': 0, 'caretOffset': 0,
+            'metricDataFormat': 0, 'numOfLongHorMetrics': 6226,
+        },
+        'vhea': None,
+        'post': {
+            'format': (2, 0),
+            'isFixedPitch': 0, 'italicAngle': (0, 0),
+            'underlinePosition': -130, 'underlineThickness': 90,
+            'minMemType42': 0, 'maxMemType42': 0,
+            'minMemType1': 0, 'maxMemType1': 0,
+        },
+        'pclt': None,
+    },
+    'cmtt10': {
+        'invalid': None,
+        'head': {
+            'version': (1, 0),
+            'fontRevision': (1, 0),
+            'checkSumAdjustment': 555110277,
+            'magicNumber': 0x5F0F3CF5,
+            'flags': 3,
+            'unitsPerEm': 2048,
+            'created': (0, 0), 'modified': (0, 0),
+            'xMin': -12, 'yMin': -477, 'xMax': 1280, 'yMax': 1430,
+            'macStyle': 0,
+            'lowestRecPPEM': 6,
+            'fontDirectionHint': 2,
+            'indexToLocFormat': 1,
+            'glyphDataFormat': 0,
+        },
+        'maxp': {
+            'version': (1, 0),
+            'numGlyphs': 133,
+            'maxPoints': 94, 'maxComponentPoints': 0, 'maxTwilightPoints': 12,
+            'maxContours': 5, 'maxComponentContours': 0,
+            'maxZones': 2,
+            'maxStorage': 6,
+            'maxFunctionDefs': 64,
+            'maxInstructionDefs': 0,
+            'maxStackElements': 200,
+            'maxSizeOfInstructions': 100,
+            'maxComponentElements': 4,
+            'maxComponentDepth': 1,
+        },
+        'OS/2': {
+            'version': 0,
+            'xAvgCharWidth': 1075,
+            'usWeightClass': 400, 'usWidthClass': 5,
+            'fsType': 0,
+            'ySubscriptXSize': 410, 'ySubscriptYSize': 369,
+            'ySubscriptXOffset': 0, 'ySubscriptYOffset': -469,
+            'ySuperscriptXSize': 410, 'ySuperscriptYSize': 369,
+            'ySuperscriptXOffset': 0, 'ySuperscriptYOffset': 1090,
+            'yStrikeoutSize': 102, 'yStrikeoutPosition': 530,
+            'sFamilyClass': 0,
+            'panose': b'\x02\x0b\x05\x00\x00\x00\x00\x00\x00\x00',
+            'ulCharRange': (0, 0, 0, 0),
+            'achVendID': b'\x00\x00\x00\x00',
+            'fsSelection': 64, 'fsFirstCharIndex': 32, 'fsLastCharIndex': 9835,
+        },
+        'hhea': {
+            'version': (1, 0),
+            'ascent': 1276, 'descent': -489, 'lineGap': 0,
+            'advanceWidthMax': 1536,
+            'minLeftBearing': -12, 'minRightBearing': -29,
+            'xMaxExtent': 1280,
+            'caretSlopeRise': 1, 'caretSlopeRun': 0, 'caretOffset': 0,
+            'metricDataFormat': 0, 'numOfLongHorMetrics': 133,
+        },
+        'vhea': None,
+        'post': {
+            'format': (2, 0),
+            'isFixedPitch': 0, 'italicAngle': (0, 0),
+            'underlinePosition': -133, 'underlineThickness': 20,
+            'minMemType42': 0, 'maxMemType42': 0,
+            'minMemType1': 0, 'maxMemType1': 0,
+        },
+        'pclt': {
+            'version': (1, 0),
+            'fontNumber': 2147483648,
+            'pitch': 1075,
+            'xHeight': 905,
+            'style': 0,
+            'typeFamily': 0,
+            'capHeight': 1276,
+            'symbolSet': 0,
+            'typeFace': b'cmtt10\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
+            'characterComplement': b'\xff\xff\xff\xff7\xff\xff\xfe',
+            'strokeWeight': 0,
+            'widthType': -5,
+            'serifStyle': 64,
+        },
+    },
+    'STIXSizeTwoSym:bold': {
+        'invalid': None,
+        'head': {
+            'version': (1, 0),
+            'fontRevision': (1, 0),
+            'checkSumAdjustment': 1803408080,
+            'magicNumber': 0x5F0F3CF5,
+            'flags': 11,
+            'unitsPerEm': 1000,
+            'created': (0, 3359035786), 'modified': (0, 3359035786),
+            'xMin': 4, 'yMin': -355, 'xMax': 1185, 'yMax': 2095,
+            'macStyle': 1,
+            'lowestRecPPEM': 8,
+            'fontDirectionHint': 2,
+            'indexToLocFormat': 0,
+            'glyphDataFormat': 0,
+        },
+        'maxp': {
+            'version': (1, 0),
+            'numGlyphs': 20,
+            'maxPoints': 37, 'maxComponentPoints': 0, 'maxTwilightPoints': 0,
+            'maxContours': 1, 'maxComponentContours': 0,
+            'maxZones': 2,
+            'maxStorage': 1,
+            'maxFunctionDefs': 64,
+            'maxInstructionDefs': 0,
+            'maxStackElements': 64,
+            'maxSizeOfInstructions': 0,
+            'maxComponentElements': 0,
+            'maxComponentDepth': 0,
+        },
+        'OS/2': {
+            'version': 2,
+            'xAvgCharWidth': 598,
+            'usWeightClass': 700, 'usWidthClass': 5,
+            'fsType': 0,
+            'ySubscriptXSize': 500, 'ySubscriptYSize': 500,
+            'ySubscriptXOffset': 0, 'ySubscriptYOffset': 250,
+            'ySuperscriptXSize': 500, 'ySuperscriptYSize': 500,
+            'ySuperscriptXOffset': 0, 'ySuperscriptYOffset': 500,
+            'yStrikeoutSize': 20, 'yStrikeoutPosition': 1037,
+            'sFamilyClass': 0,
+            'panose': b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
+            'ulCharRange': (3, 192, 0, 0),
+            'achVendID': b'STIX',
+            'fsSelection': 32, 'fsFirstCharIndex': 32, 'fsLastCharIndex': 10217,
+        },
+        'hhea': {
+            'version': (1, 0),
+            'ascent': 2095, 'descent': -404, 'lineGap': 0,
+            'advanceWidthMax': 1130,
+            'minLeftBearing': 0, 'minRightBearing': -55,
+            'xMaxExtent': 1185,
+            'caretSlopeRise': 1, 'caretSlopeRun': 0, 'caretOffset': 0,
+            'metricDataFormat': 0, 'numOfLongHorMetrics': 19,
+        },
+        'vhea': None,
+        'post': {
+            'format': (2, 0),
+            'isFixedPitch': 0, 'italicAngle': (0, 0),
+            'underlinePosition': -123, 'underlineThickness': 20,
+            'minMemType42': 0, 'maxMemType42': 0,
+            'minMemType1': 0, 'maxMemType1': 0,
+        },
+        'pclt': None,
+    },
+}
+
+
+@pytest.mark.parametrize('font_name', _expected_sfnt_tables.keys())
+@pytest.mark.parametrize('header', _expected_sfnt_tables['DejaVu Sans'].keys())
+def test_ft2font_get_sfnt_table(font_name, header):
+    file = fm.findfont(font_name)
+    font = ft2font.FT2Font(file)
+    assert font.get_sfnt_table(header) == _expected_sfnt_tables[font_name][header]
+
+
+@pytest.mark.parametrize('left, right, unscaled, unfitted, default', [
+    # These are all the same class.
+    ('A', 'A', 57, 248, 256), ('A', 'À', 57, 248, 256), ('A', '�', 57, 248, 256),
+    ('A', 'Â', 57, 248, 256), ('A', 'Ã', 57, 248, 256), ('A', 'Ä', 57, 248, 256),
+    # And a few other random ones.
+    ('D', 'A', -36, -156, -128), ('T', '.', -243, -1056, -1024),
+    ('X', 'C', -149, -647, -640), ('-', 'J', 114, 495, 512),
+])
+def test_ft2font_get_kerning(left, right, unscaled, unfitted, default):
+    file = fm.findfont('DejaVu Sans')
+    # With unscaled, these settings should produce exact values found in FontForge.
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    font.set_size(100, 100)
+    assert font.get_kerning(font.get_char_index(ord(left)),
+                            font.get_char_index(ord(right)),
+                            ft2font.Kerning.UNSCALED) == unscaled
+    assert font.get_kerning(font.get_char_index(ord(left)),
+                            font.get_char_index(ord(right)),
+                            ft2font.Kerning.UNFITTED) == unfitted
+    assert font.get_kerning(font.get_char_index(ord(left)),
+                            font.get_char_index(ord(right)),
+                            ft2font.Kerning.DEFAULT) == default
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning.UNSCALED instead'):
+        k = ft2font.KERNING_UNSCALED
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning enum values instead'):
+        assert font.get_kerning(font.get_char_index(ord(left)),
+                                font.get_char_index(ord(right)),
+                                int(k)) == unscaled
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning.UNFITTED instead'):
+        k = ft2font.KERNING_UNFITTED
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning enum values instead'):
+        assert font.get_kerning(font.get_char_index(ord(left)),
+                                font.get_char_index(ord(right)),
+                                int(k)) == unfitted
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning.DEFAULT instead'):
+        k = ft2font.KERNING_DEFAULT
+    with pytest.warns(mpl.MatplotlibDeprecationWarning,
+                      match='Use Kerning enum values instead'):
+        assert font.get_kerning(font.get_char_index(ord(left)),
+                                font.get_char_index(ord(right)),
+                                int(k)) == default
+
+
+def test_ft2font_set_text():
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    xys = font.set_text('')
+    np.testing.assert_array_equal(xys, np.empty((0, 2)))
+    assert font.get_width_height() == (0, 0)
+    assert font.get_num_glyphs() == 0
+    assert font.get_descent() == 0
+    assert font.get_bitmap_offset() == (0, 0)
+    # This string uses all the kerning pairs defined for test_ft2font_get_kerning.
+    xys = font.set_text('AADAT.XC-J')
+    np.testing.assert_array_equal(
+        xys,
+        [(0, 0), (512, 0), (1024, 0), (1600, 0), (2112, 0), (2496, 0), (2688, 0),
+         (3200, 0), (3712, 0), (4032, 0)])
+    assert font.get_width_height() == (4288, 768)
+    assert font.get_num_glyphs() == 10
+    assert font.get_descent() == 192
+    assert font.get_bitmap_offset() == (6, 0)
+
+
+def test_ft2font_loading():
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    for glyph in [font.load_char(ord('M')),
+                  font.load_glyph(font.get_char_index(ord('M')))]:
+        assert glyph is not None
+        assert glyph.width == 576
+        assert glyph.height == 576
+        assert glyph.horiBearingX == 0
+        assert glyph.horiBearingY == 576
+        assert glyph.horiAdvance == 640
+        assert glyph.linearHoriAdvance == 678528
+        assert glyph.vertBearingX == -384
+        assert glyph.vertBearingY == 64
+        assert glyph.vertAdvance == 832
+        assert glyph.bbox == (54, 0, 574, 576)
+    assert font.get_num_glyphs() == 2  # Both count as loaded.
+    # But neither has been placed anywhere.
+    assert font.get_width_height() == (0, 0)
+    assert font.get_descent() == 0
+    assert font.get_bitmap_offset() == (0, 0)
+
+
+def test_ft2font_drawing():
+    expected_str = (
+        '          ',
+        '11    11  ',
+        '11    11  ',
+        '1 1  1 1  ',
+        '1 1  1 1  ',
+        '1 1  1 1  ',
+        '1  11  1  ',
+        '1  11  1  ',
+        '1      1  ',
+        '1      1  ',
+        '          ',
+    )
+    expected = np.array([
+        [int(c) for c in line.replace(' ', '0')] for line in expected_str
+    ])
+    expected *= 255
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    font.set_text('M')
+    font.draw_glyphs_to_bitmap(antialiased=False)
+    image = font.get_image()
+    np.testing.assert_array_equal(image, expected)
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    glyph = font.load_char(ord('M'))
+    image = np.zeros(expected.shape, np.uint8)
+    font.draw_glyph_to_bitmap(image, -1, 1, glyph, antialiased=False)
+    np.testing.assert_array_equal(image, expected)
+
+
+def test_ft2font_get_path():
+    file = fm.findfont('DejaVu Sans')
+    font = ft2font.FT2Font(file, hinting_factor=1, _kerning_factor=0)
+    vertices, codes = font.get_path()
+    assert vertices.shape == (0, 2)
+    assert codes.shape == (0, )
+    font.load_char(ord('M'))
+    vertices, codes = font.get_path()
+    expected_vertices = np.array([
+        (0.843750, 9.000000), (2.609375, 9.000000),  # Top left.
+        (4.906250, 2.875000),  # Top of midpoint.
+        (7.218750, 9.000000), (8.968750, 9.000000),  # Top right.
+        (8.968750, 0.000000), (7.843750, 0.000000),  # Bottom right.
+        (7.843750, 7.906250),  # Point under top right.
+        (5.531250, 1.734375), (4.296875, 1.734375),  # Bar under midpoint.
+        (1.984375, 7.906250),  # Point under top left.
+        (1.984375, 0.000000), (0.843750, 0.000000),  # Bottom left.
+        (0.843750, 9.000000),  # Back to top left corner.
+        (0.000000, 0.000000),
+    ])
+    np.testing.assert_array_equal(vertices, expected_vertices)
+    expected_codes = np.full(expected_vertices.shape[0], mpath.Path.LINETO,
+                             dtype=mpath.Path.code_type)
+    expected_codes[0] = mpath.Path.MOVETO
+    expected_codes[-1] = mpath.Path.CLOSEPOLY
+    np.testing.assert_array_equal(codes, expected_codes)
+
+
+@pytest.mark.parametrize('fmt', ['pdf', 'png', 'ps', 'raw', 'svg'])
+def test_fallback_smoke(fmt):
+    fonts, test_str = _gen_multi_font_text()
+    plt.rcParams['font.size'] = 16
+    fig = plt.figure(figsize=(4.75, 1.85))
+    fig.text(0.5, 0.5, test_str,
+             horizontalalignment='center', verticalalignment='center')
+
+    fig.savefig(io.BytesIO(), format=fmt)
+
+
+@pytest.mark.parametrize("font_list",
+                          [['DejaVu Serif', 'DejaVu Sans'],
+                           ['DejaVu Sans Mono']],
+                         ids=["two fonts", "one font"])
+def test_fallback_missing(recwarn, font_list):
+    fig = plt.figure()
+    fig.text(.5, .5, "Hello 🙃 World!", family=font_list)
+    fig.canvas.draw()
+    assert all(isinstance(warn.message, UserWarning) for warn in recwarn)
+    # not sure order is guaranteed on the font listing so
+    assert recwarn[0].message.args[0].startswith(
+           "Glyph 128579 (\\N{UPSIDE-DOWN FACE}) missing from font(s)")
+    assert all([font in recwarn[0].message.args[0] for font in font_list])
+
+
+@image_comparison(['last_resort'])
+def test_fallback_last_resort(recwarn):
+    fig = plt.figure(figsize=(3, 0.5))
+    fig.text(.5, .5, "Hello 🙃 World!", size=24,
+             horizontalalignment='center', verticalalignment='center')
+    fig.canvas.draw()
+    assert all(isinstance(warn.message, UserWarning) for warn in recwarn)
+    assert recwarn[0].message.args[0].startswith(
+           "Glyph 128579 (\\N{UPSIDE-DOWN FACE}) missing from font(s)")
+
+
+def test__get_fontmap():
+    fonts, test_str = _gen_multi_font_text()
+    # Add some glyphs that don't exist in either font to check the Last Resort fallback.
+    missing_glyphs = '\n几个汉字'
+    test_str += missing_glyphs
+
+    ft = fm.get_font(
+        fm.fontManager._find_fonts_by_props(fm.FontProperties(family=fonts))
+    )
+    fontmap = ft._get_fontmap(test_str)
+    for char, font in fontmap.items():
+        if char in missing_glyphs:
+            assert Path(font.fname).name == 'LastResortHE-Regular.ttf'
+        elif ord(char) > 127:
+            assert Path(font.fname).name == 'DejaVuSans.ttf'
+        else:
+            assert Path(font.fname).name == 'cmr10.ttf'
diff --git a/lib/matplotlib/tests/test_getattr.py b/lib/matplotlib/tests/test_getattr.py
new file mode 100644
index 000000000000..f0f5823600ca
--- /dev/null
+++ b/lib/matplotlib/tests/test_getattr.py
@@ -0,0 +1,35 @@
+from importlib import import_module
+from pkgutil import walk_packages
+
+import matplotlib
+import pytest
+
+# Get the names of all matplotlib submodules,
+# except for the unit tests and private modules.
+module_names = [
+    m.name
+    for m in walk_packages(
+        path=matplotlib.__path__, prefix=f'{matplotlib.__name__}.'
+    )
+    if not m.name.startswith(__package__)
+    and not any(x.startswith('_') for x in m.name.split('.'))
+]
+
+
+@pytest.mark.parametrize('module_name', module_names)
+@pytest.mark.filterwarnings('ignore::DeprecationWarning')
+@pytest.mark.filterwarnings('ignore::ImportWarning')
+def test_getattr(module_name):
+    """
+    Test that __getattr__ methods raise AttributeError for unknown keys.
+    See #20822, #20855.
+    """
+    try:
+        module = import_module(module_name)
+    except (ImportError, RuntimeError, OSError) as e:
+        # Skip modules that cannot be imported due to missing dependencies
+        pytest.skip(f'Cannot import {module_name} due to {e}')
+
+    key = 'THIS_SYMBOL_SHOULD_NOT_EXIST'
+    if hasattr(module, key):
+        delattr(module, key)
diff --git a/lib/matplotlib/tests/test_gridspec.py b/lib/matplotlib/tests/test_gridspec.py
index 57616397f5e3..625a79816ed3 100644
--- a/lib/matplotlib/tests/test_gridspec.py
+++ b/lib/matplotlib/tests/test_gridspec.py
@@ -1,8 +1,75 @@
+import matplotlib
 import matplotlib.gridspec as gridspec
-from nose.tools import assert_equal
+import matplotlib.pyplot as plt
+import pytest
 
 
 def test_equal():
     gs = gridspec.GridSpec(2, 1)
-    assert_equal(gs[0, 0], gs[0, 0])
-    assert_equal(gs[:, 0], gs[:, 0])
+    assert gs[0, 0] == gs[0, 0]
+    assert gs[:, 0] == gs[:, 0]
+
+
+def test_update():
+    gs = gridspec.GridSpec(2, 1)
+
+    gs.update(left=.1)
+    assert gs.left == .1
+
+
+def test_width_ratios():
+    """
+    Addresses issue #5835.
+    See at https://github.com/matplotlib/matplotlib/issues/5835.
+    """
+    with pytest.raises(ValueError):
+        gridspec.GridSpec(1, 1, width_ratios=[2, 1, 3])
+
+
+def test_height_ratios():
+    """
+    Addresses issue #5835.
+    See at https://github.com/matplotlib/matplotlib/issues/5835.
+    """
+    with pytest.raises(ValueError):
+        gridspec.GridSpec(1, 1, height_ratios=[2, 1, 3])
+
+
+def test_SubplotParams():
+    s = gridspec.SubplotParams(.1, .1, .9, .9)
+    assert s.left == 0.1
+
+    s.reset()
+    assert s.left == matplotlib.rcParams['figure.subplot.left']
+
+    with pytest.raises(ValueError, match='left cannot be >= right'):
+        s.update(left=s.right + .01)
+
+    with pytest.raises(ValueError, match='bottom cannot be >= top'):
+        s.update(bottom=s.top + .01)
+
+    with pytest.raises(ValueError, match='left cannot be >= right'):
+        gridspec.SubplotParams(.1, .1, .09, .9)
+
+
+def test_repr():
+    ss = gridspec.GridSpec(3, 3)[2, 1:3]
+    assert repr(ss) == "GridSpec(3, 3)[2:3, 1:3]"
+
+    ss = gridspec.GridSpec(2, 2,
+                           height_ratios=(3, 1),
+                           width_ratios=(1, 3))
+    assert repr(ss) == \
+        "GridSpec(2, 2, height_ratios=(3, 1), width_ratios=(1, 3))"
+
+
+def test_subplotspec_args():
+    fig, axs = plt.subplots(1, 2)
+    # should work:
+    gs = gridspec.GridSpecFromSubplotSpec(2, 1,
+                                          subplot_spec=axs[0].get_subplotspec())
+    assert gs.get_topmost_subplotspec() == axs[0].get_subplotspec()
+    with pytest.raises(TypeError, match="subplot_spec must be type SubplotSpec"):
+        gs = gridspec.GridSpecFromSubplotSpec(2, 1, subplot_spec=axs[0])
+    with pytest.raises(TypeError, match="subplot_spec must be type SubplotSpec"):
+        gs = gridspec.GridSpecFromSubplotSpec(2, 1, subplot_spec=axs)
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
index 01f342051666..cededdb1b83c 100644
--- a/lib/matplotlib/tests/test_image.py
+++ b/lib/matplotlib/tests/test_image.py
@@ -1,51 +1,46 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-
-from matplotlib.testing.decorators import image_comparison, knownfailureif, cleanup
-from matplotlib.image import BboxImage, imread
-from matplotlib.transforms import Bbox
-from matplotlib import rcParams
-import matplotlib.pyplot as plt
-from nose.tools import assert_raises
-from numpy.testing import assert_array_equal, assert_array_almost_equal
-
+from contextlib import ExitStack
+from copy import copy
+import functools
 import io
 import os
+from pathlib import Path
+import platform
+import sys
+import urllib.request
 
-try:
-    from PIL import Image
-    HAS_PIL = True
-except ImportError:
-    HAS_PIL = False
-
-@image_comparison(baseline_images=['image_interps'])
-def test_image_interps():
-    'make the basic nearest, bilinear and bicubic interps'
-    X = np.arange(100)
-    X = X.reshape(5, 20)
-
-    fig = plt.figure()
-    ax1 = fig.add_subplot(311)
-    ax1.imshow(X, interpolation='nearest')
-    ax1.set_title('three interpolations')
-    ax1.set_ylabel('nearest')
-
-    ax2 = fig.add_subplot(312)
-    ax2.imshow(X, interpolation='bilinear')
-    ax2.set_ylabel('bilinear')
-
-    ax3 = fig.add_subplot(313)
-    ax3.imshow(X, interpolation='bicubic')
-    ax3.set_ylabel('bicubic')
-
-@image_comparison(baseline_images=['interp_nearest_vs_none'],
+import numpy as np
+from numpy.testing import assert_array_equal
+from PIL import Image
+
+import matplotlib as mpl
+from matplotlib import (
+    colors, image as mimage, patches, pyplot as plt, style, rcParams)
+from matplotlib.image import (AxesImage, BboxImage, FigureImage,
+                              NonUniformImage, PcolorImage)
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.transforms import Bbox, Affine2D, TransformedBbox
+import matplotlib.ticker as mticker
+
+import pytest
+
+
+@image_comparison(['interp_alpha.png'], remove_text=True)
+def test_alpha_interp():
+    """Test the interpolation of the alpha channel on RGBA images"""
+    fig, (axl, axr) = plt.subplots(1, 2)
+    # full green image
+    img = np.zeros((5, 5, 4))
+    img[..., 1] = np.ones((5, 5))
+    # transparent under main diagonal
+    img[..., 3] = np.tril(np.ones((5, 5), dtype=np.uint8))
+    axl.imshow(img, interpolation="none")
+    axr.imshow(img, interpolation="bilinear")
+
+
+@image_comparison(['interp_nearest_vs_none'],
                   extensions=['pdf', 'svg'], remove_text=True)
 def test_interp_nearest_vs_none():
-    'Test the effect of "nearest" and "none" interpolation'
+    """Test the effect of "nearest" and "none" interpolation"""
     # Setting dpi to something really small makes the difference very
     # visible. This works fine with pdf, since the dpi setting doesn't
     # affect anything but images, but the agg output becomes unusably
@@ -53,59 +48,111 @@ def test_interp_nearest_vs_none():
     rcParams['savefig.dpi'] = 3
     X = np.array([[[218, 165, 32], [122, 103, 238]],
                   [[127, 255, 0], [255, 99, 71]]], dtype=np.uint8)
-    fig = plt.figure()
-    ax1 = fig.add_subplot(121)
+    fig, (ax1, ax2) = plt.subplots(1, 2)
     ax1.imshow(X, interpolation='none')
     ax1.set_title('interpolation none')
-    ax2 = fig.add_subplot(122)
     ax2.imshow(X, interpolation='nearest')
     ax2.set_title('interpolation nearest')
 
 
-@image_comparison(baseline_images=['figimage-0', 'figimage-1'], extensions=['png'])
-def test_figimage():
-    'test the figimage method'
+@pytest.mark.parametrize('suppressComposite', [False, True])
+@image_comparison(['figimage'], extensions=['png', 'pdf'])
+def test_figimage(suppressComposite):
+    fig = plt.figure(figsize=(2, 2), dpi=100)
+    fig.suppressComposite = suppressComposite
+    x, y = np.ix_(np.arange(100) / 100.0, np.arange(100) / 100)
+    z = np.sin(x**2 + y**2 - x*y)
+    c = np.sin(20*x**2 + 50*y**2)
+    img = z + c/5
 
-    for suppressComposite in False, True:
-        fig = plt.figure(figsize=(2,2), dpi=100)
-        fig.suppressComposite = suppressComposite
-        x,y = np.ix_(np.arange(100.0)/100.0, np.arange(100.0)/100.0)
-        z = np.sin(x**2 + y**2 - x*y)
-        c = np.sin(20*x**2 + 50*y**2)
-        img = z + c/5
+    fig.figimage(img, xo=0, yo=0, origin='lower')
+    fig.figimage(img[::-1, :], xo=0, yo=100, origin='lower')
+    fig.figimage(img[:, ::-1], xo=100, yo=0, origin='lower')
+    fig.figimage(img[::-1, ::-1], xo=100, yo=100, origin='lower')
 
-        fig.figimage(img, xo=0, yo=0, origin='lower')
-        fig.figimage(img[::-1,:], xo=0, yo=100, origin='lower')
-        fig.figimage(img[:,::-1], xo=100, yo=0, origin='lower')
-        fig.figimage(img[::-1,::-1], xo=100, yo=100, origin='lower')
 
-@cleanup
 def test_image_python_io():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot([1,2,3])
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
     buffer = io.BytesIO()
     fig.savefig(buffer)
     buffer.seek(0)
     plt.imread(buffer)
 
-@knownfailureif(not HAS_PIL)
+
+@pytest.mark.parametrize(
+    "img_size, fig_size, interpolation",
+    [(5, 2, "hanning"),  # data larger than figure.
+     (5, 5, "nearest"),  # exact resample.
+     (5, 10, "nearest"),  # double sample.
+     (3, 2.9, "hanning"),  # <3 upsample.
+     (3, 9.1, "nearest"),  # >3 upsample.
+     ])
+@check_figures_equal()
+def test_imshow_antialiased(fig_test, fig_ref,
+                            img_size, fig_size, interpolation):
+    np.random.seed(19680801)
+    dpi = plt.rcParams["savefig.dpi"]
+    A = np.random.rand(int(dpi * img_size), int(dpi * img_size))
+    for fig in [fig_test, fig_ref]:
+        fig.set_size_inches(fig_size, fig_size)
+    ax = fig_test.subplots()
+    ax.set_position([0, 0, 1, 1])
+    ax.imshow(A, interpolation='auto')
+    ax = fig_ref.subplots()
+    ax.set_position([0, 0, 1, 1])
+    ax.imshow(A, interpolation=interpolation)
+
+
+@check_figures_equal()
+def test_imshow_zoom(fig_test, fig_ref):
+    # should be less than 3 upsample, so should be nearest...
+    np.random.seed(19680801)
+    dpi = plt.rcParams["savefig.dpi"]
+    A = np.random.rand(int(dpi * 3), int(dpi * 3))
+    for fig in [fig_test, fig_ref]:
+        fig.set_size_inches(2.9, 2.9)
+    ax = fig_test.subplots()
+    ax.imshow(A, interpolation='auto')
+    ax.set_xlim([10, 20])
+    ax.set_ylim([10, 20])
+    ax = fig_ref.subplots()
+    ax.imshow(A, interpolation='nearest')
+    ax.set_xlim([10, 20])
+    ax.set_ylim([10, 20])
+
+
+@check_figures_equal()
+def test_imshow_pil(fig_test, fig_ref):
+    style.use("default")
+    png_path = Path(__file__).parent / "baseline_images/pngsuite/basn3p04.png"
+    tiff_path = Path(__file__).parent / "baseline_images/test_image/uint16.tif"
+    axs = fig_test.subplots(2)
+    axs[0].imshow(Image.open(png_path))
+    axs[1].imshow(Image.open(tiff_path))
+    axs = fig_ref.subplots(2)
+    axs[0].imshow(plt.imread(png_path))
+    axs[1].imshow(plt.imread(tiff_path))
+
+
 def test_imread_pil_uint16():
     img = plt.imread(os.path.join(os.path.dirname(__file__),
                      'baseline_images', 'test_image', 'uint16.tif'))
-    assert (img.dtype == np.uint16)
+    assert img.dtype == np.uint16
     assert np.sum(img) == 134184960
 
-# def test_image_unicode_io():
-#     fig = plt.figure()
-#     ax = fig.add_subplot(111)
-#     ax.plot([1,2,3])
-#     fname = u"\u0a3a\u0a3a.png"
-#     fig.savefig(fname)
-#     plt.imread(fname)
-#     os.remove(fname)
 
-def test_imsave():
+def test_imread_fspath():
+    img = plt.imread(
+        Path(__file__).parent / 'baseline_images/test_image/uint16.tif')
+    assert img.dtype == np.uint16
+    assert np.sum(img) == 134184960
+
+
+@pytest.mark.parametrize("fmt", ["png", "jpg", "jpeg", "tiff"])
+def test_imsave(fmt):
+    has_alpha = fmt not in ["jpg", "jpeg"]
+
     # The goal here is that the user can specify an output logical DPI
     # for the image, but this will not actually add any extra pixels
     # to the image, it will merely be used for metadata purposes.
@@ -113,122 +160,378 @@ def test_imsave():
     # So we do the traditional case (dpi == 1), and the new case (dpi
     # == 100) and read the resulting PNG files back in and make sure
     # the data is 100% identical.
-    from numpy import random
-    random.seed(1)
-    data = random.rand(256, 128)
+    np.random.seed(1)
+    # The height of 1856 pixels was selected because going through creating an
+    # actual dpi=100 figure to save the image to a Pillow-provided format would
+    # cause a rounding error resulting in a final image of shape 1855.
+    data = np.random.rand(1856, 2)
 
     buff_dpi1 = io.BytesIO()
-    plt.imsave(buff_dpi1, data, dpi=1)
+    plt.imsave(buff_dpi1, data, format=fmt, dpi=1)
 
     buff_dpi100 = io.BytesIO()
-    plt.imsave(buff_dpi100, data, dpi=100)
+    plt.imsave(buff_dpi100, data, format=fmt, dpi=100)
 
     buff_dpi1.seek(0)
-    arr_dpi1 = plt.imread(buff_dpi1)
+    arr_dpi1 = plt.imread(buff_dpi1, format=fmt)
 
     buff_dpi100.seek(0)
-    arr_dpi100 = plt.imread(buff_dpi100)
+    arr_dpi100 = plt.imread(buff_dpi100, format=fmt)
 
-    assert arr_dpi1.shape == (256, 128, 4)
-    assert arr_dpi100.shape == (256, 128, 4)
+    assert arr_dpi1.shape == (1856, 2, 3 + has_alpha)
+    assert arr_dpi100.shape == (1856, 2, 3 + has_alpha)
 
     assert_array_equal(arr_dpi1, arr_dpi100)
 
+
+def test_imsave_python_sequences():
+    # Tests saving an image with data passed using Python sequence types
+    # such as lists or tuples.
+
+    # RGB image: 3 rows × 2 columns, with float values in [0.0, 1.0]
+    img_data = [
+        [(1.0, 0.0, 0.0), (0.0, 1.0, 0.0)],
+        [(0.0, 0.0, 1.0), (1.0, 1.0, 0.0)],
+        [(0.0, 1.0, 1.0), (1.0, 0.0, 1.0)],
+    ]
+
+    buff = io.BytesIO()
+    plt.imsave(buff, img_data, format="png")
+    buff.seek(0)
+    read_img = plt.imread(buff)
+
+    assert_array_equal(
+        np.array(img_data),
+        read_img[:, :, :3]  # Drop alpha if present
+    )
+
+
+@pytest.mark.parametrize("origin", ["upper", "lower"])
+def test_imsave_rgba_origin(origin):
+    # test that imsave always passes c-contiguous arrays down to pillow
+    buf = io.BytesIO()
+    result = np.zeros((10, 10, 4), dtype='uint8')
+    mimage.imsave(buf, arr=result, format="png", origin=origin)
+
+
+@pytest.mark.parametrize("fmt", ["png", "pdf", "ps", "eps", "svg"])
+def test_imsave_fspath(fmt):
+    plt.imsave(Path(os.devnull), np.array([[0, 1]]), format=fmt)
+
+
 def test_imsave_color_alpha():
     # Test that imsave accept arrays with ndim=3 where the third dimension is
     # color and alpha without raising any exceptions, and that the data is
     # acceptably preserved through a save/read roundtrip.
-    from numpy import random
-    random.seed(1)
-    data = random.rand(256, 128, 4)
+    np.random.seed(1)
 
-    buff = io.BytesIO()
-    plt.imsave(buff, data)
+    for origin in ['lower', 'upper']:
+        data = np.random.rand(16, 16, 4)
+        buff = io.BytesIO()
+        plt.imsave(buff, data, origin=origin, format="png")
 
-    buff.seek(0)
-    arr_buf = plt.imread(buff)
+        buff.seek(0)
+        arr_buf = plt.imread(buff)
 
-    # Recreate the float -> uint8 -> float32 conversion of the data
-    data = (255*data).astype('uint8').astype('float32')/255
-    # Wherever alpha values were rounded down to 0, the rgb values all get set
-    # to 0 during imsave (this is reasonable behaviour).
-    # Recreate that here:
-    for j in range(3):
-        data[data[:, :, 3] == 0, j] = 1
+        # Recreate the float -> uint8 conversion of the data
+        # We can only expect to be the same with 8 bits of precision,
+        # since that's what the PNG file used.
+        data = (255*data).astype('uint8')
+        if origin == 'lower':
+            data = data[::-1]
+        arr_buf = (255*arr_buf).astype('uint8')
 
-    assert_array_equal(data, arr_buf)
+        assert_array_equal(data, arr_buf)
 
-@image_comparison(baseline_images=['image_clip'])
-def test_image_clip():
-    from math import pi
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='hammer')
+def test_imsave_pil_kwargs_png():
+    from PIL.PngImagePlugin import PngInfo
+    buf = io.BytesIO()
+    pnginfo = PngInfo()
+    pnginfo.add_text("Software", "test")
+    plt.imsave(buf, [[0, 1], [2, 3]],
+               format="png", pil_kwargs={"pnginfo": pnginfo})
+    im = Image.open(buf)
+    assert im.info["Software"] == "test"
+
 
-    d = [[1,2],[3,4]]
+def test_imsave_pil_kwargs_tiff():
+    from PIL.TiffTags import TAGS_V2 as TAGS
+    buf = io.BytesIO()
+    pil_kwargs = {"description": "test image"}
+    plt.imsave(buf, [[0, 1], [2, 3]], format="tiff", pil_kwargs=pil_kwargs)
+    assert len(pil_kwargs) == 1
+    im = Image.open(buf)
+    tags = {TAGS[k].name: v for k, v in im.tag_v2.items()}
+    assert tags["ImageDescription"] == "test image"
+
+
+@image_comparison(['image_alpha'], remove_text=True)
+def test_image_alpha():
+    np.random.seed(0)
+    Z = np.random.rand(6, 6)
+
+    fig, (ax1, ax2, ax3) = plt.subplots(1, 3)
+    ax1.imshow(Z, alpha=1.0, interpolation='none')
+    ax2.imshow(Z, alpha=0.5, interpolation='none')
+    ax3.imshow(Z, alpha=0.5, interpolation='nearest')
+
+
+@mpl.style.context('mpl20')
+@check_figures_equal()
+def test_imshow_alpha(fig_test, fig_ref):
+    np.random.seed(19680801)
+
+    rgbf = np.random.rand(6, 6, 3).astype(np.float32)
+    rgbu = np.uint8(rgbf * 255)
+    ((ax0, ax1), (ax2, ax3)) = fig_test.subplots(2, 2)
+    ax0.imshow(rgbf, alpha=0.5)
+    ax1.imshow(rgbf, alpha=0.75)
+    ax2.imshow(rgbu, alpha=127/255)
+    ax3.imshow(rgbu, alpha=191/255)
+
+    rgbaf = np.concatenate((rgbf, np.ones((6, 6, 1))), axis=2).astype(np.float32)
+    rgbau = np.concatenate((rgbu, np.full((6, 6, 1), 255, np.uint8)), axis=2)
+    ((ax0, ax1), (ax2, ax3)) = fig_ref.subplots(2, 2)
+    rgbaf[:, :, 3] = 0.5
+    ax0.imshow(rgbaf)
+    rgbaf[:, :, 3] = 0.75
+    ax1.imshow(rgbaf)
+    rgbau[:, :, 3] = 127
+    ax2.imshow(rgbau)
+    rgbau[:, :, 3] = 191
+    ax3.imshow(rgbau)
+
+
+@pytest.mark.parametrize('n_channels, is_int, alpha_arr, opaque',
+                         [(3, False, False, False),  # RGB float
+                          (4, False, False, False),  # RGBA float
+                          (4, False, True, False),   # RGBA float with alpha array
+                          (4, False, False, True),   # RGBA float with solid color
+                          (4, True, False, False)])  # RGBA unint8
+def test_imshow_multi_draw(n_channels, is_int, alpha_arr, opaque):
+    if is_int:
+        array = np.random.randint(0, 256, (2, 2, n_channels))
+    else:
+        array = np.random.random((2, 2, n_channels))
+        if opaque:
+            array[:, :, 3] = 1
+
+    if alpha_arr:
+        alpha = np.array([[0.3, 0.5], [1, 0.8]])
+    else:
+        alpha = None
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(array, alpha=alpha)
+    fig.draw_without_rendering()
+
+    # Draw should not modify original array
+    np.testing.assert_array_equal(array, im._A)
+
+
+def test_cursor_data():
+    from matplotlib.backend_bases import MouseEvent
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(np.arange(100).reshape(10, 10), origin='upper')
+
+    x, y = 4, 4
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) == 44
+
+    # Now try for a point outside the image
+    # Tests issue #4957
+    x, y = 10.1, 4
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) is None
+
+    # Hmm, something is wrong here... I get 0, not None...
+    # But, this works further down in the tests with extents flipped
+    # x, y = 0.1, -0.1
+    # xdisp, ydisp = ax.transData.transform([x, y])
+    # event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    # z = im.get_cursor_data(event)
+    # assert z is None, "Did not get None, got %d" % z
+
+    ax.clear()
+    # Now try with the extents flipped.
+    im = ax.imshow(np.arange(100).reshape(10, 10), origin='lower')
+
+    x, y = 4, 4
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) == 44
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(np.arange(100).reshape(10, 10), extent=[0, 0.5, 0, 0.5])
+
+    x, y = 0.25, 0.25
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) == 55
+
+    # Now try for a point outside the image
+    # Tests issue #4957
+    x, y = 0.75, 0.25
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) is None
+
+    x, y = 0.01, -0.01
+    xdisp, ydisp = ax.transData.transform([x, y])
+
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) is None
+
+    # Now try with additional transform applied to the image artist
+    trans = Affine2D().scale(2).rotate(0.5)
+    im = ax.imshow(np.arange(100).reshape(10, 10),
+                   transform=trans + ax.transData)
+    x, y = 3, 10
+    xdisp, ydisp = ax.transData.transform([x, y])
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) == 44
+
+
+@pytest.mark.parametrize("xy, data", [
+    # x/y coords chosen to be 0.5 above boundaries so they lie within image pixels
+    [[0.5, 0.5], 0 + 0],
+    [[0.5, 1.5], 0 + 1],
+    [[4.5, 0.5], 16 + 0],
+    [[8.5, 0.5], 16 + 0],
+    [[9.5, 2.5], 81 + 4],
+    [[-1, 0.5], None],
+    [[0.5, -1], None],
+    ]
+)
+def test_cursor_data_nonuniform(xy, data):
+    from matplotlib.backend_bases import MouseEvent
+
+    # Non-linear set of x-values
+    x = np.array([0, 1, 4, 9, 16])
+    y = np.array([0, 1, 2, 3, 4])
+    z = x[np.newaxis, :]**2 + y[:, np.newaxis]**2
+
+    fig, ax = plt.subplots()
+    im = NonUniformImage(ax, extent=(x.min(), x.max(), y.min(), y.max()))
+    im.set_data(x, y, z)
+    ax.add_image(im)
+    # Set lower min lim so we can test cursor outside image
+    ax.set_xlim(x.min() - 2, x.max())
+    ax.set_ylim(y.min() - 2, y.max())
+
+    xdisp, ydisp = ax.transData.transform(xy)
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.get_cursor_data(event) == data, (im.get_cursor_data(event), data)
+
+
+@pytest.mark.parametrize(
+    "data, text", [
+        ([[10001, 10000]], "[10001.000]"),
+        ([[.123, .987]], "[0.123]"),
+        ([[np.nan, 1, 2]], "[]"),
+        ([[1, 1+1e-15]], "[1.0000000000000000]"),
+        ([[-1, -1]], "[-1.0]"),
+        ([[0, 0]], "[0.00]"),
+    ])
+def test_format_cursor_data(data, text):
+    from matplotlib.backend_bases import MouseEvent
+
+    fig, ax = plt.subplots()
+    im = ax.imshow(data)
+
+    xdisp, ydisp = ax.transData.transform([0, 0])
+    event = MouseEvent('motion_notify_event', fig.canvas, xdisp, ydisp)
+    assert im.format_cursor_data(im.get_cursor_data(event)) == text
+
+
+@image_comparison(['image_clip'], style='mpl20')
+def test_image_clip():
+    d = [[1, 2], [3, 4]]
 
-    im = ax.imshow(d, extent=(-pi,pi,-pi/2,pi/2))
+    fig, ax = plt.subplots()
+    im = ax.imshow(d)
+    patch = patches.Circle((0, 0), radius=1, transform=ax.transData)
+    im.set_clip_path(patch)
 
-@image_comparison(baseline_images=['image_cliprect'])
-def test_image_cliprect():
-    import matplotlib.patches as patches
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    d = [[1,2],[3,4]]
+@image_comparison(['image_cliprect'], style='mpl20')
+def test_image_cliprect():
+    fig, ax = plt.subplots()
+    d = [[1, 2], [3, 4]]
 
-    im = ax.imshow(d, extent=(0,5,0,5))
+    im = ax.imshow(d, extent=(0, 5, 0, 5))
 
-    rect = patches.Rectangle(xy=(1,1), width=2, height=2, transform=im.axes.transData)
+    rect = patches.Rectangle(
+        xy=(1, 1), width=2, height=2, transform=im.axes.transData)
     im.set_clip_path(rect)
 
-@image_comparison(baseline_images=['imshow'], remove_text=True)
-def test_imshow():
-    import numpy as np
-    import matplotlib.pyplot as plt
 
-    fig = plt.figure()
-    arr = np.arange(100).reshape((10, 10))
-    ax = fig.add_subplot(111)
-    ax.imshow(arr, interpolation="bilinear", extent=(1,2,1,2))
-    ax.set_xlim(0,3)
-    ax.set_ylim(0,3)
+@check_figures_equal()
+def test_imshow_10_10_1(fig_test, fig_ref):
+    # 10x10x1 should be the same as 10x10
+    arr = np.arange(100).reshape((10, 10, 1))
+    ax = fig_ref.subplots()
+    ax.imshow(arr[:, :, 0], interpolation="bilinear", extent=(1, 2, 1, 2))
+    ax.set_xlim(0, 3)
+    ax.set_ylim(0, 3)
 
-@image_comparison(baseline_images=['no_interpolation_origin'], remove_text=True)
+    ax = fig_test.subplots()
+    ax.imshow(arr, interpolation="bilinear", extent=(1, 2, 1, 2))
+    ax.set_xlim(0, 3)
+    ax.set_ylim(0, 3)
+
+
+def test_imshow_10_10_2():
+    fig, ax = plt.subplots()
+    arr = np.arange(200).reshape((10, 10, 2))
+    with pytest.raises(TypeError):
+        ax.imshow(arr)
+
+
+def test_imshow_10_10_5():
+    fig, ax = plt.subplots()
+    arr = np.arange(500).reshape((10, 10, 5))
+    with pytest.raises(TypeError):
+        ax.imshow(arr)
+
+
+@image_comparison(['no_interpolation_origin'], remove_text=True)
 def test_no_interpolation_origin():
-    fig = plt.figure()
-    ax = fig.add_subplot(211)
-    ax.imshow(np.arange(100).reshape((2, 50)), origin="lower", interpolation='none')
+    fig, axs = plt.subplots(2)
+    axs[0].imshow(np.arange(100).reshape((2, 50)), origin="lower",
+                  interpolation='none')
+    axs[1].imshow(np.arange(100).reshape((2, 50)), interpolation='none')
 
-    ax = fig.add_subplot(212)
-    ax.imshow(np.arange(100).reshape((2, 50)), interpolation='none')
 
-@image_comparison(baseline_images=['image_shift'], remove_text=True,
-                  extensions=['pdf', 'svg'])
+@image_comparison(['image_shift'], remove_text=True, extensions=['pdf', 'svg'])
 def test_image_shift():
-    from matplotlib.colors import LogNorm
-
-    imgData = [[1.0/(x) + 1.0/(y) for x in range(1,100)] for y in range(1,100)]
-    tMin=734717.945208
-    tMax=734717.946366
+    imgData = [[1 / x + 1 / y for x in range(1, 100)] for y in range(1, 100)]
+    tMin = 734717.945208
+    tMax = 734717.946366
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.imshow(imgData, norm=LogNorm(), interpolation='none',
+    fig, ax = plt.subplots()
+    ax.imshow(imgData, norm=colors.LogNorm(), interpolation='none',
               extent=(tMin, tMax, 1, 100))
     ax.set_aspect('auto')
 
-@cleanup
+
 def test_image_edges():
-    f = plt.figure(figsize=[1, 1])
-    ax = f.add_axes([0, 0, 1, 1], frameon=False)
+    fig = plt.figure(figsize=[1, 1])
+    ax = fig.add_axes([0, 0, 1, 1], frameon=False)
 
     data = np.tile(np.arange(12), 15).reshape(20, 9)
 
-    im = ax.imshow(data, origin='upper',
-                   extent=[-10, 10, -10, 10], interpolation='none',
-                   cmap='gray'
-                   )
+    im = ax.imshow(data, origin='upper', extent=[-10, 10, -10, 10],
+                   interpolation='none', cmap='gray')
 
     x = y = 2
     ax.set_xlim([-x, x])
@@ -238,7 +541,7 @@ def test_image_edges():
     ax.set_yticks([])
 
     buf = io.BytesIO()
-    f.savefig(buf, facecolor=(0, 1, 0))
+    fig.savefig(buf, facecolor=(0, 1, 0))
 
     buf.seek(0)
 
@@ -248,93 +551,1258 @@ def test_image_edges():
 
     assert g != 100, 'Expected a non-green edge - but sadly, it was.'
 
-@image_comparison(baseline_images=['image_composite_background'], remove_text=True)
+
+@image_comparison(['image_composite_background'],
+                  remove_text=True, style='mpl20')
 def test_image_composite_background():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     arr = np.arange(12).reshape(4, 3)
     ax.imshow(arr, extent=[0, 2, 15, 0])
     ax.imshow(arr, extent=[4, 6, 15, 0])
-    ax.set_axis_bgcolor((1, 0, 0, 0.5))
+    ax.set_facecolor((1, 0, 0, 0.5))
     ax.set_xlim([0, 12])
 
-@image_comparison(baseline_images=['image_composite_alpha'], remove_text=True)
+
+@image_comparison(['image_composite_alpha'], remove_text=True, tol=0.07)
 def test_image_composite_alpha():
     """
     Tests that the alpha value is recognized and correctly applied in the
     process of compositing images together.
     """
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     arr = np.zeros((11, 21, 4))
     arr[:, :, 0] = 1
-    arr[:, :, 3] = np.concatenate((np.arange(0, 1.1, 0.1), np.arange(0, 1, 0.1)[::-1]))
+    arr[:, :, 3] = np.concatenate(
+        (np.arange(0, 1.1, 0.1), np.arange(0, 1, 0.1)[::-1]))
     arr2 = np.zeros((21, 11, 4))
     arr2[:, :, 0] = 1
     arr2[:, :, 1] = 1
-    arr2[:, :, 3] = np.concatenate((np.arange(0, 1.1, 0.1), np.arange(0, 1, 0.1)[::-1]))[:, np.newaxis]
+    arr2[:, :, 3] = np.concatenate(
+        (np.arange(0, 1.1, 0.1), np.arange(0, 1, 0.1)[::-1]))[:, np.newaxis]
     ax.imshow(arr, extent=[1, 2, 5, 0], alpha=0.3)
     ax.imshow(arr, extent=[2, 3, 5, 0], alpha=0.6)
     ax.imshow(arr, extent=[3, 4, 5, 0])
     ax.imshow(arr2, extent=[0, 5, 1, 2])
     ax.imshow(arr2, extent=[0, 5, 2, 3], alpha=0.6)
     ax.imshow(arr2, extent=[0, 5, 3, 4], alpha=0.3)
-    ax.set_axis_bgcolor((0, 0.5, 0, 1))
+    ax.set_facecolor((0, 0.5, 0, 1))
     ax.set_xlim([0, 5])
     ax.set_ylim([5, 0])
 
 
-@image_comparison(baseline_images=['rasterize_10dpi'], extensions=['pdf','svg'], tol=5e-2, remove_text=True)
+@check_figures_equal(extensions=["pdf"])
+def test_clip_path_disables_compositing(fig_test, fig_ref):
+    t = np.arange(9).reshape((3, 3))
+    for fig in [fig_test, fig_ref]:
+        ax = fig.add_subplot()
+        ax.imshow(t, clip_path=(mpl.path.Path([(0, 0), (0, 1), (1, 0)]),
+                                ax.transData))
+        ax.imshow(t, clip_path=(mpl.path.Path([(1, 1), (1, 2), (2, 1)]),
+                                ax.transData))
+    fig_ref.suppressComposite = True
+
+
+@image_comparison(['rasterize_10dpi'],
+                  extensions=['pdf', 'svg'], remove_text=True, style='mpl20')
 def test_rasterize_dpi():
     # This test should check rasterized rendering with high output resolution.
-    # It plots a rasterized line and a normal image with implot. So it will catch
-    # when images end up in the wrong place in case of non-standard dpi setting.
-    # Instead of high-res rasterization i use low-res.  Therefore the fact that the
-    # resolution is non-standard is is easily checked by image_comparison.
-    import numpy as np
-    import matplotlib.pyplot as plt
-
+    # It plots a rasterized line and a normal image with imshow.  So it will
+    # catch when images end up in the wrong place in case of non-standard dpi
+    # setting.  Instead of high-res rasterization I use low-res.  Therefore
+    # the fact that the resolution is non-standard is easily checked by
+    # image_comparison.
     img = np.asarray([[1, 2], [3, 4]])
 
-    fig, axes = plt.subplots(1, 3, figsize = (3, 1))
+    fig, axs = plt.subplots(1, 3, figsize=(3, 1))
 
-    axes[0].imshow(img)
+    axs[0].imshow(img)
 
-    axes[1].plot([0,1],[0,1], linewidth=20., rasterized=True)
-    axes[1].set(xlim = (0,1), ylim = (-1, 2))
+    axs[1].plot([0, 1], [0, 1], linewidth=20., rasterized=True)
+    axs[1].set(xlim=(0, 1), ylim=(-1, 2))
 
-    axes[2].plot([0,1],[0,1], linewidth=20.)
-    axes[2].set(xlim = (0,1), ylim = (-1, 2))
+    axs[2].plot([0, 1], [0, 1], linewidth=20.)
+    axs[2].set(xlim=(0, 1), ylim=(-1, 2))
 
     # Low-dpi PDF rasterization errors prevent proper image comparison tests.
     # Hide detailed structures like the axes spines.
-    for ax in axes:
+    for ax in axs:
         ax.set_xticks([])
         ax.set_yticks([])
-        for spine in ax.spines.values():
-            spine.set_visible(False)
+        ax.spines[:].set_visible(False)
 
     rcParams['savefig.dpi'] = 10
 
 
-@image_comparison(baseline_images=['bbox_image_inverted'],
-                  extensions=['png', 'pdf'])
+@image_comparison(['bbox_image_inverted'], remove_text=True, style='mpl20')
 def test_bbox_image_inverted():
     # This is just used to produce an image to feed to BboxImage
-    fig = plt.figure()
-    axes = fig.add_subplot(111)
-    axes.plot([1, 2, 3])
+    image = np.arange(100).reshape((10, 10))
 
-    im_buffer = io.BytesIO()
-    fig.savefig(im_buffer)
-    im_buffer.seek(0)
-    image = imread(im_buffer)
+    fig, ax = plt.subplots()
+    bbox_im = BboxImage(
+        TransformedBbox(Bbox([[100, 100], [0, 0]]), ax.transData),
+        interpolation='nearest')
+    bbox_im.set_data(image)
+    bbox_im.set_clip_on(False)
+    ax.set_xlim(0, 100)
+    ax.set_ylim(0, 100)
+    ax.add_artist(bbox_im)
+
+    image = np.identity(10)
 
-    bbox_im = BboxImage(Bbox([[100, 100], [0, 0]]))
+    bbox_im = BboxImage(TransformedBbox(Bbox([[0.1, 0.2], [0.3, 0.25]]),
+                                        ax.get_figure().transFigure),
+                        interpolation='nearest')
     bbox_im.set_data(image)
-    axes.add_artist(bbox_im)
+    bbox_im.set_clip_on(False)
+    ax.add_artist(bbox_im)
+
+
+def test_get_window_extent_for_AxisImage():
+    # Create a figure of known size (1000x1000 pixels), place an image
+    # object at a given location and check that get_window_extent()
+    # returns the correct bounding box values (in pixels).
+
+    im = np.array([[0.25, 0.75, 1.0, 0.75], [0.1, 0.65, 0.5, 0.4],
+                   [0.6, 0.3, 0.0, 0.2], [0.7, 0.9, 0.4, 0.6]])
+    fig, ax = plt.subplots(figsize=(10, 10), dpi=100)
+    ax.set_position([0, 0, 1, 1])
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+    im_obj = ax.imshow(
+        im, extent=[0.4, 0.7, 0.2, 0.9], interpolation='nearest')
+
+    fig.canvas.draw()
+    renderer = fig.canvas.renderer
+    im_bbox = im_obj.get_window_extent(renderer)
+
+    assert_array_equal(im_bbox.get_points(), [[400, 200], [700, 900]])
+
+    fig, ax = plt.subplots(figsize=(10, 10), dpi=100)
+    ax.set_position([0, 0, 1, 1])
+    ax.set_xlim(1, 2)
+    ax.set_ylim(0, 1)
+    im_obj = ax.imshow(
+        im, extent=[0.4, 0.7, 0.2, 0.9], interpolation='nearest',
+        transform=ax.transAxes)
+
+    fig.canvas.draw()
+    renderer = fig.canvas.renderer
+    im_bbox = im_obj.get_window_extent(renderer)
+
+    assert_array_equal(im_bbox.get_points(), [[400, 200], [700, 900]])
+
+
+@image_comparison(['zoom_and_clip_upper_origin.png'],
+                  remove_text=True, style='mpl20')
+def test_zoom_and_clip_upper_origin():
+    image = np.arange(100)
+    image = image.reshape((10, 10))
+
+    fig, ax = plt.subplots()
+    ax.imshow(image)
+    ax.set_ylim(2.0, -0.5)
+    ax.set_xlim(-0.5, 2.0)
+
+
+def test_nonuniformimage_setcmap():
+    ax = plt.gca()
+    im = NonUniformImage(ax)
+    im.set_cmap('Blues')
+
+
+def test_nonuniformimage_setnorm():
+    ax = plt.gca()
+    im = NonUniformImage(ax)
+    im.set_norm(plt.Normalize())
+
+
+def test_jpeg_2d():
+    # smoke test that mode-L pillow images work.
+    imd = np.ones((10, 10), dtype='uint8')
+    for i in range(10):
+        imd[i, :] = np.linspace(0.0, 1.0, 10) * 255
+    im = Image.new('L', (10, 10))
+    im.putdata(imd.flatten())
+    fig, ax = plt.subplots()
+    ax.imshow(im)
+
+
+def test_jpeg_alpha():
+    plt.figure(figsize=(1, 1), dpi=300)
+    # Create an image that is all black, with a gradient from 0-1 in
+    # the alpha channel from left to right.
+    im = np.zeros((300, 300, 4), dtype=float)
+    im[..., 3] = np.linspace(0.0, 1.0, 300)
 
+    plt.figimage(im)
 
-if __name__=='__main__':
-    import nose
-    nose.runmodule(argv=['-s','--with-doctest'], exit=False)
+    buff = io.BytesIO()
+    plt.savefig(buff, facecolor="red", format='jpg', dpi=300)
+
+    buff.seek(0)
+    image = Image.open(buff)
+
+    # If this fails, there will be only one color (all black). If this
+    # is working, we should have all 256 shades of grey represented.
+    num_colors = len(image.getcolors(256))
+    assert 175 <= num_colors <= 230
+    # The fully transparent part should be red.
+    corner_pixel = image.getpixel((0, 0))
+    assert corner_pixel == (254, 0, 0)
+
+
+def test_axesimage_setdata():
+    ax = plt.gca()
+    im = AxesImage(ax)
+    z = np.arange(12, dtype=float).reshape((4, 3))
+    im.set_data(z)
+    z[0, 0] = 9.9
+    assert im._A[0, 0] == 0, 'value changed'
+
+
+def test_figureimage_setdata():
+    fig = plt.gcf()
+    im = FigureImage(fig)
+    z = np.arange(12, dtype=float).reshape((4, 3))
+    im.set_data(z)
+    z[0, 0] = 9.9
+    assert im._A[0, 0] == 0, 'value changed'
+
+
+@pytest.mark.parametrize(
+    "image_cls,x,y,a", [
+        (NonUniformImage,
+         np.arange(3.), np.arange(4.), np.arange(12.).reshape((4, 3))),
+        (PcolorImage,
+         np.arange(3.), np.arange(4.), np.arange(6.).reshape((3, 2))),
+    ])
+def test_setdata_xya(image_cls, x, y, a):
+    ax = plt.gca()
+    im = image_cls(ax)
+    im.set_data(x, y, a)
+    x[0] = y[0] = a[0, 0] = 9.9
+    assert im._A[0, 0] == im._Ax[0] == im._Ay[0] == 0, 'value changed'
+    im.set_data(x, y, a.reshape((*a.shape, -1)))  # Just a smoketest.
+
+
+def test_minimized_rasterized():
+    # This ensures that the rasterized content in the colorbars is
+    # only as thick as the colorbar, and doesn't extend to other parts
+    # of the image.  See #5814.  While the original bug exists only
+    # in Postscript, the best way to detect it is to generate SVG
+    # and then parse the output to make sure the two colorbar images
+    # are the same size.
+    from xml.etree import ElementTree
+
+    np.random.seed(0)
+    data = np.random.rand(10, 10)
+
+    fig, ax = plt.subplots(1, 2)
+    p1 = ax[0].pcolormesh(data)
+    p2 = ax[1].pcolormesh(data)
+
+    plt.colorbar(p1, ax=ax[0])
+    plt.colorbar(p2, ax=ax[1])
+
+    buff = io.BytesIO()
+    plt.savefig(buff, format='svg')
+
+    buff = io.BytesIO(buff.getvalue())
+    tree = ElementTree.parse(buff)
+    width = None
+    for image in tree.iter('image'):
+        if width is None:
+            width = image['width']
+        else:
+            if image['width'] != width:
+                assert False
+
+
+def test_load_from_url():
+    path = Path(__file__).parent / "baseline_images/pngsuite/basn3p04.png"
+    url = ('file:'
+           + ('///' if sys.platform == 'win32' else '')
+           + path.resolve().as_posix())
+    with pytest.raises(ValueError, match="Please open the URL"):
+        plt.imread(url)
+    with urllib.request.urlopen(url) as file:
+        plt.imread(file)
+
+
+@image_comparison(['log_scale_image'], remove_text=True)
+def test_log_scale_image():
+    Z = np.zeros((10, 10))
+    Z[::2] = 1
+
+    fig, ax = plt.subplots()
+    ax.imshow(Z, extent=[1, 100, 1, 100], cmap='viridis', vmax=1, vmin=-1,
+              aspect='auto')
+    ax.set(yscale='log')
+
+
+@image_comparison(['rotate_image'], remove_text=True)
+def test_rotate_image():
+    delta = 0.25
+    x = y = np.arange(-3.0, 3.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-(X**2 + Y**2) / 2) / (2 * np.pi)
+    Z2 = (np.exp(-(((X - 1) / 1.5)**2 + ((Y - 1) / 0.5)**2) / 2) /
+          (2 * np.pi * 0.5 * 1.5))
+    Z = Z2 - Z1  # difference of Gaussians
+
+    fig, ax1 = plt.subplots(1, 1)
+    im1 = ax1.imshow(Z, interpolation='none', cmap='viridis',
+                     origin='lower',
+                     extent=[-2, 4, -3, 2], clip_on=True)
+
+    trans_data2 = Affine2D().rotate_deg(30) + ax1.transData
+    im1.set_transform(trans_data2)
+
+    # display intended extent of the image
+    x1, x2, y1, y2 = im1.get_extent()
+
+    ax1.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], "r--", lw=3,
+             transform=trans_data2)
+
+    ax1.set_xlim(2, 5)
+    ax1.set_ylim(0, 4)
+
+
+def test_image_preserve_size():
+    buff = io.BytesIO()
+
+    im = np.zeros((481, 321))
+    plt.imsave(buff, im, format="png")
+
+    buff.seek(0)
+    img = plt.imread(buff)
+
+    assert img.shape[:2] == im.shape
+
+
+def test_image_preserve_size2():
+    n = 7
+    data = np.identity(n, float)
+
+    fig = plt.figure(figsize=(n, n), frameon=False)
+    ax = fig.add_axes((0.0, 0.0, 1.0, 1.0))
+    ax.set_axis_off()
+    ax.imshow(data, interpolation='nearest', origin='lower', aspect='auto')
+    buff = io.BytesIO()
+    fig.savefig(buff, dpi=1)
+
+    buff.seek(0)
+    img = plt.imread(buff)
+
+    assert img.shape == (7, 7, 4)
+
+    assert_array_equal(np.asarray(img[:, :, 0], bool),
+                       np.identity(n, bool)[::-1])
+
+
+@image_comparison(['mask_image_over_under.png'], remove_text=True, tol=1.0)
+def test_mask_image_over_under():
+
+    delta = 0.025
+    x = y = np.arange(-3.0, 3.0, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-(X**2 + Y**2) / 2) / (2 * np.pi)
+    Z2 = (np.exp(-(((X - 1) / 1.5)**2 + ((Y - 1) / 0.5)**2) / 2) /
+          (2 * np.pi * 0.5 * 1.5))
+    Z = 10*(Z2 - Z1)  # difference of Gaussians
+
+    palette = plt.colormaps["gray"].with_extremes(over='r', under='g', bad='b')
+    Zm = np.ma.masked_where(Z > 1.2, Z)
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    im = ax1.imshow(Zm, interpolation='bilinear',
+                    cmap=palette,
+                    norm=colors.Normalize(vmin=-1.0, vmax=1.0, clip=False),
+                    origin='lower', extent=[-3, 3, -3, 3])
+    ax1.set_title('Green=low, Red=high, Blue=bad')
+    fig.colorbar(im, extend='both', orientation='horizontal',
+                 ax=ax1, aspect=10)
+
+    im = ax2.imshow(Zm, interpolation='nearest',
+                    cmap=palette,
+                    norm=colors.BoundaryNorm([-1, -0.5, -0.2, 0, 0.2, 0.5, 1],
+                                             ncolors=256, clip=False),
+                    origin='lower', extent=[-3, 3, -3, 3])
+    ax2.set_title('With BoundaryNorm')
+    fig.colorbar(im, extend='both', spacing='proportional',
+                 orientation='horizontal', ax=ax2, aspect=10)
+
+
+@image_comparison(['mask_image'], remove_text=True)
+def test_mask_image():
+    # Test mask image two ways: Using nans and using a masked array.
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+
+    A = np.ones((5, 5))
+    A[1:2, 1:2] = np.nan
+
+    ax1.imshow(A, interpolation='nearest')
+
+    A = np.zeros((5, 5), dtype=bool)
+    A[1:2, 1:2] = True
+    A = np.ma.masked_array(np.ones((5, 5), dtype=np.uint16), A)
+
+    ax2.imshow(A, interpolation='nearest')
+
+
+def test_mask_image_all():
+    # Test behavior with an image that is entirely masked does not warn
+    data = np.full((2, 2), np.nan)
+    fig, ax = plt.subplots()
+    ax.imshow(data)
+    fig.canvas.draw_idle()  # would emit a warning
+
+
+@image_comparison(['imshow_endianess.png'], remove_text=True)
+def test_imshow_endianess():
+    x = np.arange(10)
+    X, Y = np.meshgrid(x, x)
+    Z = np.hypot(X - 5, Y - 5)
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+
+    kwargs = dict(origin="lower", interpolation='nearest', cmap='viridis')
+
+    ax1.imshow(Z.astype('<f8'), **kwargs)
+    ax2.imshow(Z.astype('>f8'), **kwargs)
+
+
+@image_comparison(['imshow_masked_interpolation'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.01,
+                  remove_text=True, style='mpl20')
+def test_imshow_masked_interpolation():
+
+    cmap = mpl.colormaps['viridis'].with_extremes(over='r', under='b', bad='k')
+
+    N = 20
+    n = colors.Normalize(vmin=0, vmax=N*N-1)
+
+    data = np.arange(N*N, dtype=float).reshape(N, N)
+
+    data[5, 5] = -1
+    # This will cause crazy ringing for the higher-order
+    # interpolations
+    data[15, 5] = 1e5
+
+    # data[3, 3] = np.nan
+
+    data[15, 15] = np.inf
+
+    mask = np.zeros_like(data).astype('bool')
+    mask[5, 15] = True
+
+    data = np.ma.masked_array(data, mask)
+
+    fig, ax_grid = plt.subplots(3, 6)
+    interps = sorted(mimage._interpd_)
+    interps.remove('auto')
+    interps.remove('antialiased')
+
+    for interp, ax in zip(interps, ax_grid.ravel()):
+        ax.set_title(interp)
+        ax.imshow(data, norm=n, cmap=cmap, interpolation=interp)
+        ax.axis('off')
+
+
+def test_imshow_no_warn_invalid():
+    plt.imshow([[1, 2], [3, np.nan]])  # Check that no warning is emitted.
+
+
+@pytest.mark.parametrize(
+    'dtype', [np.dtype(s) for s in 'u2 u4 i2 i4 i8 f4 f8'.split()])
+def test_imshow_clips_rgb_to_valid_range(dtype):
+    arr = np.arange(300, dtype=dtype).reshape((10, 10, 3))
+    if dtype.kind != 'u':
+        arr -= 10
+    too_low = arr < 0
+    too_high = arr > 255
+    if dtype.kind == 'f':
+        arr = arr / 255
+    _, ax = plt.subplots()
+    out = ax.imshow(arr).get_array()
+    assert (out[too_low] == 0).all()
+    if dtype.kind == 'f':
+        assert (out[too_high] == 1).all()
+        assert out.dtype.kind == 'f'
+    else:
+        assert (out[too_high] == 255).all()
+        assert out.dtype == np.uint8
+
+
+@image_comparison(['imshow_flatfield.png'], remove_text=True, style='mpl20')
+def test_imshow_flatfield():
+    fig, ax = plt.subplots()
+    im = ax.imshow(np.ones((5, 5)), interpolation='nearest')
+    im.set_clim(.5, 1.5)
+
+
+@image_comparison(['imshow_bignumbers.png'], remove_text=True, style='mpl20')
+def test_imshow_bignumbers():
+    rcParams['image.interpolation'] = 'nearest'
+    # putting a big number in an array of integers shouldn't
+    # ruin the dynamic range of the resolved bits.
+    fig, ax = plt.subplots()
+    img = np.array([[1, 2, 1e12], [3, 1, 4]], dtype=np.uint64)
+    pc = ax.imshow(img)
+    pc.set_clim(0, 5)
+
+
+@image_comparison(['imshow_bignumbers_real.png'],
+                  remove_text=True, style='mpl20')
+def test_imshow_bignumbers_real():
+    rcParams['image.interpolation'] = 'nearest'
+    # putting a big number in an array of integers shouldn't
+    # ruin the dynamic range of the resolved bits.
+    fig, ax = plt.subplots()
+    img = np.array([[2., 1., 1.e22], [4., 1., 3.]])
+    pc = ax.imshow(img)
+    pc.set_clim(0, 5)
+
+
+@pytest.mark.parametrize(
+    "make_norm",
+    [colors.Normalize,
+     colors.LogNorm,
+     lambda: colors.SymLogNorm(1),
+     lambda: colors.PowerNorm(1)])
+def test_empty_imshow(make_norm):
+    fig, ax = plt.subplots()
+    with pytest.warns(UserWarning,
+                      match="Attempting to set identical low and high xlims"):
+        im = ax.imshow([[]], norm=make_norm())
+    im.set_extent([-5, 5, -5, 5])
+    fig.canvas.draw()
+
+    with pytest.raises(RuntimeError):
+        im.make_image(fig.canvas.get_renderer())
+
+
+def test_imshow_float16():
+    fig, ax = plt.subplots()
+    ax.imshow(np.zeros((3, 3), dtype=np.float16))
+    # Ensure that drawing doesn't cause crash.
+    fig.canvas.draw()
+
+
+def test_imshow_float128():
+    fig, ax = plt.subplots()
+    ax.imshow(np.zeros((3, 3), dtype=np.longdouble))
+    with (ExitStack() if np.can_cast(np.longdouble, np.float64, "equiv")
+          else pytest.warns(UserWarning)):
+        # Ensure that drawing doesn't cause crash.
+        fig.canvas.draw()
+
+
+def test_imshow_bool():
+    fig, ax = plt.subplots()
+    ax.imshow(np.array([[True, False], [False, True]], dtype=bool))
+
+
+def test_full_invalid():
+    fig, ax = plt.subplots()
+    ax.imshow(np.full((10, 10), np.nan))
+
+    fig.canvas.draw()
+
+
+@pytest.mark.parametrize("fmt,counted",
+                         [("ps", b" colorimage"), ("svg", b"<image")])
+@pytest.mark.parametrize("composite_image,count", [(True, 1), (False, 2)])
+def test_composite(fmt, counted, composite_image, count):
+    # Test that figures can be saved with and without combining multiple images
+    # (on a single set of axes) into a single composite image.
+    X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
+    Z = np.sin(Y ** 2)
+
+    fig, ax = plt.subplots()
+    ax.set_xlim(0, 3)
+    ax.imshow(Z, extent=[0, 1, 0, 1])
+    ax.imshow(Z[::-1], extent=[2, 3, 0, 1])
+    plt.rcParams['image.composite_image'] = composite_image
+    buf = io.BytesIO()
+    fig.savefig(buf, format=fmt)
+    assert buf.getvalue().count(counted) == count
+
+
+def test_relim():
+    fig, ax = plt.subplots()
+    ax.imshow([[0]], extent=(0, 1, 0, 1))
+    ax.relim()
+    ax.autoscale()
+    assert ax.get_xlim() == ax.get_ylim() == (0, 1)
+
+
+def test_unclipped():
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    im = ax.imshow([[0, 0], [0, 0]], aspect="auto", extent=(-10, 10, -10, 10),
+                   cmap='gray', clip_on=False)
+    ax.set(xlim=(0, 1), ylim=(0, 1))
+    fig.canvas.draw()
+    # The unclipped image should fill the *entire* figure and be black.
+    # Ignore alpha for this comparison.
+    assert (np.array(fig.canvas.buffer_rgba())[..., :3] == 0).all()
+
+
+def test_respects_bbox():
+    fig, axs = plt.subplots(2)
+    for ax in axs:
+        ax.set_axis_off()
+    im = axs[1].imshow([[0, 1], [2, 3]], aspect="auto", extent=(0, 1, 0, 1))
+    im.set_clip_path(None)
+    # Make the image invisible in axs[1], but visible in axs[0] if we pan
+    # axs[1] up.
+    im.set_clip_box(axs[0].bbox)
+    buf_before = io.BytesIO()
+    fig.savefig(buf_before, format="rgba")
+    assert {*buf_before.getvalue()} == {0xff}  # All white.
+    axs[1].set(ylim=(-1, 0))
+    buf_after = io.BytesIO()
+    fig.savefig(buf_after, format="rgba")
+    assert buf_before.getvalue() != buf_after.getvalue()  # Not all white.
+
+
+def test_image_cursor_formatting():
+    fig, ax = plt.subplots()
+    # Create a dummy image to be able to call format_cursor_data
+    im = ax.imshow(np.zeros((4, 4)))
+
+    data = np.ma.masked_array([0], mask=[True])
+    assert im.format_cursor_data(data) == '[]'
+
+    data = np.ma.masked_array([0], mask=[False])
+    assert im.format_cursor_data(data) == '[0]'
+
+    data = np.nan
+    assert im.format_cursor_data(data) == '[nan]'
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_image_array_alpha(fig_test, fig_ref):
+    """Per-pixel alpha channel test."""
+    x = np.linspace(0, 1)
+    xx, yy = np.meshgrid(x, x)
+
+    zz = np.exp(- 3 * ((xx - 0.5) ** 2) + (yy - 0.7 ** 2))
+    alpha = zz / zz.max()
+
+    cmap = mpl.colormaps['viridis']
+    ax = fig_test.add_subplot()
+    ax.imshow(zz, alpha=alpha, cmap=cmap, interpolation='nearest')
+
+    ax = fig_ref.add_subplot()
+    rgba = cmap(colors.Normalize()(zz))
+    rgba[..., -1] = alpha
+    ax.imshow(rgba, interpolation='nearest')
+
+
+def test_image_array_alpha_validation():
+    with pytest.raises(TypeError, match="alpha must be a float, two-d"):
+        plt.imshow(np.zeros((2, 2)), alpha=[1, 1])
+
+
+@mpl.style.context('mpl20')
+def test_exact_vmin():
+    cmap = copy(mpl.colormaps["autumn_r"])
+    cmap.set_under(color="lightgrey")
+
+    # make the image exactly 190 pixels wide
+    fig = plt.figure(figsize=(1.9, 0.1), dpi=100)
+    ax = fig.add_axes([0, 0, 1, 1])
+
+    data = np.array(
+        [[-1, -1, -1, 0, 0, 0, 0, 43, 79, 95, 66, 1, -1, -1, -1, 0, 0, 0, 34]],
+        dtype=float,
+    )
+
+    im = ax.imshow(data, aspect="auto", cmap=cmap, vmin=0, vmax=100)
+    ax.axis("off")
+    fig.canvas.draw()
+
+    # get the RGBA slice from the image
+    from_image = im.make_image(fig.canvas.renderer)[0][0]
+    # expand the input to be 190 long and run through norm / cmap
+    direct_computation = (
+        im.cmap(im.norm((data * ([[1]] * 10)).T.ravel())) * 255
+    ).astype(int)
+
+    # check than the RBGA values are the same
+    assert np.all(from_image == direct_computation)
+
+
+@image_comparison(['image_placement'], extensions=['svg', 'pdf'],
+                  remove_text=True, style='mpl20')
+def test_image_placement():
+    """
+    The red box should line up exactly with the outside of the image.
+    """
+    fig, ax = plt.subplots()
+    ax.plot([0, 0, 1, 1, 0], [0, 1, 1, 0, 0], color='r', lw=0.1)
+    np.random.seed(19680801)
+    ax.imshow(np.random.randn(16, 16), cmap='Blues', extent=(0, 1, 0, 1),
+              interpolation='none', vmin=-1, vmax=1)
+    ax.set_xlim(-0.1, 1+0.1)
+    ax.set_ylim(-0.1, 1+0.1)
+
+
+# A basic ndarray subclass that implements a quantity
+# It does not implement an entire unit system or all quantity math.
+# There is just enough implemented to test handling of ndarray
+# subclasses.
+class QuantityND(np.ndarray):
+    def __new__(cls, input_array, units):
+        obj = np.asarray(input_array).view(cls)
+        obj.units = units
+        return obj
+
+    def __array_finalize__(self, obj):
+        self.units = getattr(obj, "units", None)
+
+    def __getitem__(self, item):
+        units = getattr(self, "units", None)
+        ret = super().__getitem__(item)
+        if isinstance(ret, QuantityND) or units is not None:
+            ret = QuantityND(ret, units)
+        return ret
+
+    def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
+        func = getattr(ufunc, method)
+        if "out" in kwargs:
+            return NotImplemented
+        if len(inputs) == 1:
+            i0 = inputs[0]
+            unit = getattr(i0, "units", "dimensionless")
+            out_arr = func(np.asarray(i0), **kwargs)
+        elif len(inputs) == 2:
+            i0 = inputs[0]
+            i1 = inputs[1]
+            u0 = getattr(i0, "units", "dimensionless")
+            u1 = getattr(i1, "units", "dimensionless")
+            u0 = u1 if u0 is None else u0
+            u1 = u0 if u1 is None else u1
+            if ufunc in [np.add, np.subtract]:
+                if u0 != u1:
+                    raise ValueError
+                unit = u0
+            elif ufunc == np.multiply:
+                unit = f"{u0}*{u1}"
+            elif ufunc == np.divide:
+                unit = f"{u0}/({u1})"
+            elif ufunc in (np.greater, np.greater_equal,
+                           np.equal, np.not_equal,
+                           np.less, np.less_equal):
+                # Comparisons produce unitless booleans for output
+                unit = None
+            else:
+                return NotImplemented
+            out_arr = func(i0.view(np.ndarray), i1.view(np.ndarray), **kwargs)
+        else:
+            return NotImplemented
+        if unit is None:
+            out_arr = np.array(out_arr)
+        else:
+            out_arr = QuantityND(out_arr, unit)
+        return out_arr
+
+    @property
+    def v(self):
+        return self.view(np.ndarray)
+
+
+def test_quantitynd():
+    q = QuantityND([1, 2], "m")
+    q0, q1 = q[:]
+    assert np.all(q.v == np.asarray([1, 2]))
+    assert q.units == "m"
+    assert np.all((q0 + q1).v == np.asarray([3]))
+    assert (q0 * q1).units == "m*m"
+    assert (q1 / q0).units == "m/(m)"
+    with pytest.raises(ValueError):
+        q0 + QuantityND(1, "s")
+
+
+def test_imshow_quantitynd():
+    # generate a dummy ndarray subclass
+    arr = QuantityND(np.ones((2, 2)), "m")
+    fig, ax = plt.subplots()
+    ax.imshow(arr)
+    # executing the draw should not raise an exception
+    fig.canvas.draw()
+
+
+@check_figures_equal()
+def test_norm_change(fig_test, fig_ref):
+    # LogNorm should not mask anything invalid permanently.
+    data = np.full((5, 5), 1, dtype=np.float64)
+    data[0:2, :] = -1
+
+    masked_data = np.ma.array(data, mask=False)
+    masked_data.mask[0:2, 0:2] = True
+
+    cmap = mpl.colormaps['viridis'].with_extremes(under='w')
+
+    ax = fig_test.subplots()
+    im = ax.imshow(data, norm=colors.LogNorm(vmin=0.5, vmax=1),
+                   extent=(0, 5, 0, 5), interpolation='nearest', cmap=cmap)
+    im.set_norm(colors.Normalize(vmin=-2, vmax=2))
+    im = ax.imshow(masked_data, norm=colors.LogNorm(vmin=0.5, vmax=1),
+                   extent=(5, 10, 5, 10), interpolation='nearest', cmap=cmap)
+    im.set_norm(colors.Normalize(vmin=-2, vmax=2))
+    ax.set(xlim=(0, 10), ylim=(0, 10))
+
+    ax = fig_ref.subplots()
+    ax.imshow(data, norm=colors.Normalize(vmin=-2, vmax=2),
+              extent=(0, 5, 0, 5), interpolation='nearest', cmap=cmap)
+    ax.imshow(masked_data, norm=colors.Normalize(vmin=-2, vmax=2),
+              extent=(5, 10, 5, 10), interpolation='nearest', cmap=cmap)
+    ax.set(xlim=(0, 10), ylim=(0, 10))
+
+
+@pytest.mark.parametrize('x', [-1, 1])
+@check_figures_equal()
+def test_huge_range_log(fig_test, fig_ref, x):
+    # parametrize over bad lognorm -1 values and large range 1 -> 1e20
+    data = np.full((5, 5), x, dtype=np.float64)
+    data[0:2, :] = 1E20
+
+    ax = fig_test.subplots()
+    ax.imshow(data, norm=colors.LogNorm(vmin=1, vmax=data.max()),
+              interpolation='nearest', cmap='viridis')
+
+    data = np.full((5, 5), x, dtype=np.float64)
+    data[0:2, :] = 1000
+
+    ax = fig_ref.subplots()
+    cmap = mpl.colormaps['viridis'].with_extremes(under='w')
+    ax.imshow(data, norm=colors.Normalize(vmin=1, vmax=data.max()),
+              interpolation='nearest', cmap=cmap)
+
+
+@check_figures_equal()
+def test_spy_box(fig_test, fig_ref):
+    # setting up reference and test
+    ax_test = fig_test.subplots(1, 3)
+    ax_ref = fig_ref.subplots(1, 3)
+
+    plot_data = (
+        [[1, 1], [1, 1]],
+        [[0, 0], [0, 0]],
+        [[0, 1], [1, 0]],
+    )
+    plot_titles = ["ones", "zeros", "mixed"]
+
+    for i, (z, title) in enumerate(zip(plot_data, plot_titles)):
+        ax_test[i].set_title(title)
+        ax_test[i].spy(z)
+        ax_ref[i].set_title(title)
+        ax_ref[i].imshow(z, interpolation='nearest',
+                            aspect='equal', origin='upper', cmap='Greys',
+                            vmin=0, vmax=1)
+        ax_ref[i].set_xlim(-0.5, 1.5)
+        ax_ref[i].set_ylim(1.5, -0.5)
+        ax_ref[i].xaxis.tick_top()
+        ax_ref[i].title.set_y(1.05)
+        ax_ref[i].xaxis.set_ticks_position('both')
+        ax_ref[i].xaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+        )
+        ax_ref[i].yaxis.set_major_locator(
+            mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True)
+        )
+
+
+@image_comparison(["nonuniform_and_pcolor.png"], style="mpl20")
+def test_nonuniform_and_pcolor():
+    axs = plt.figure(figsize=(3, 3)).subplots(3, sharex=True, sharey=True)
+    for ax, interpolation in zip(axs, ["nearest", "bilinear"]):
+        im = NonUniformImage(ax, interpolation=interpolation)
+        im.set_data(np.arange(3) ** 2, np.arange(3) ** 2,
+                    np.arange(9).reshape((3, 3)))
+        ax.add_image(im)
+    axs[2].pcolorfast(  # PcolorImage
+        np.arange(4) ** 2, np.arange(4) ** 2, np.arange(9).reshape((3, 3)))
+    for ax in axs:
+        ax.set_axis_off()
+        # NonUniformImage "leaks" out of extents, not PColorImage.
+        ax.set(xlim=(0, 10))
+
+
+@image_comparison(["nonuniform_logscale.png"], style="mpl20")
+def test_nonuniform_logscale():
+    _, axs = plt.subplots(ncols=3, nrows=1)
+
+    for i in range(3):
+        ax = axs[i]
+        im = NonUniformImage(ax)
+        im.set_data(np.arange(1, 4) ** 2, np.arange(1, 4) ** 2,
+                    np.arange(9).reshape((3, 3)))
+        ax.set_xlim(1, 16)
+        ax.set_ylim(1, 16)
+        ax.set_box_aspect(1)
+        if i == 1:
+            ax.set_xscale("log", base=2)
+            ax.set_yscale("log", base=2)
+        if i == 2:
+            ax.set_xscale("log", base=4)
+            ax.set_yscale("log", base=4)
+        ax.add_image(im)
+
+
+@image_comparison(['rgba_antialias.png'], style='mpl20', remove_text=True, tol=0.02)
+def test_rgba_antialias():
+    fig, axs = plt.subplots(2, 2, figsize=(3.5, 3.5), sharex=False,
+                            sharey=False, constrained_layout=True)
+    N = 250
+    aa = np.ones((N, N))
+    aa[::2, :] = -1
+
+    x = np.arange(N) / N - 0.5
+    y = np.arange(N) / N - 0.5
+
+    X, Y = np.meshgrid(x, y)
+    R = np.sqrt(X**2 + Y**2)
+    f0 = 10
+    k = 75
+    # aliased concentric circles
+    a = np.sin(np.pi * 2 * (f0 * R + k * R**2 / 2))
+
+    # stripes on lhs
+    a[:int(N/2), :][R[:int(N/2), :] < 0.4] = -1
+    a[:int(N/2), :][R[:int(N/2), :] < 0.3] = 1
+    aa[:, int(N/2):] = a[:, int(N/2):]
+
+    # set some over/unders and NaNs
+    aa[20:50, 20:50] = np.nan
+    aa[70:90, 70:90] = 1e6
+    aa[70:90, 20:30] = -1e6
+    aa[70:90, 195:215] = 1e6
+    aa[20:30, 195:215] = -1e6
+
+    cmap = plt.colormaps["RdBu_r"]
+    cmap.set_over('yellow')
+    cmap.set_under('cyan')
+
+    axs = axs.flatten()
+    # zoom in
+    axs[0].imshow(aa, interpolation='nearest', cmap=cmap, vmin=-1.2, vmax=1.2)
+    axs[0].set_xlim([N/2-25, N/2+25])
+    axs[0].set_ylim([N/2+50, N/2-10])
+
+    # no anti-alias
+    axs[1].imshow(aa, interpolation='nearest', cmap=cmap, vmin=-1.2, vmax=1.2)
+
+    # data antialias: Note no purples, and white in circle.  Note
+    # that alternating red and blue stripes become white.
+    axs[2].imshow(aa, interpolation='auto', interpolation_stage='data',
+                  cmap=cmap, vmin=-1.2, vmax=1.2)
+
+    # rgba antialias: Note purples at boundary with circle.  Note that
+    # alternating red and blue stripes become purple
+    axs[3].imshow(aa, interpolation='auto', interpolation_stage='rgba',
+                  cmap=cmap, vmin=-1.2, vmax=1.2)
+
+
+@check_figures_equal()
+def test_upsample_interpolation_stage(fig_test, fig_ref):
+    """
+    Show that interpolation_stage='auto' gives the same as 'data'
+    for upsampling.
+    """
+    # Fixing random state for reproducibility.  This non-standard seed
+    # gives red splotches for 'rgba'.
+    np.random.seed(19680801+9)
+
+    grid = np.random.rand(4, 4)
+    ax = fig_ref.subplots()
+    ax.imshow(grid, interpolation='bilinear', cmap='viridis',
+              interpolation_stage='data')
+
+    ax = fig_test.subplots()
+    ax.imshow(grid, interpolation='bilinear', cmap='viridis',
+              interpolation_stage='auto')
+
+
+@check_figures_equal()
+def test_downsample_interpolation_stage(fig_test, fig_ref):
+    """
+    Show that interpolation_stage='auto' gives the same as 'rgba'
+    for downsampling.
+    """
+    # Fixing random state for reproducibility
+    np.random.seed(19680801)
+
+    grid = np.random.rand(4000, 4000)
+    ax = fig_ref.subplots()
+    ax.imshow(grid, interpolation='auto', cmap='viridis',
+              interpolation_stage='rgba')
+
+    ax = fig_test.subplots()
+    ax.imshow(grid, interpolation='auto', cmap='viridis',
+              interpolation_stage='auto')
+
+
+def test_rc_interpolation_stage():
+    for val in ["data", "rgba"]:
+        with mpl.rc_context({"image.interpolation_stage": val}):
+            assert plt.imshow([[1, 2]]).get_interpolation_stage() == val
+    for val in ["DATA", "foo", None]:
+        with pytest.raises(ValueError):
+            mpl.rcParams["image.interpolation_stage"] = val
+
+
+# We check for the warning with a draw() in the test, but we also need to
+# filter the warning as it is emitted by the figure test decorator
+@pytest.mark.filterwarnings(r'ignore:Data with more than .* '
+                            'cannot be accurately displayed')
+@pytest.mark.parametrize('origin', ['upper', 'lower'])
+@pytest.mark.parametrize(
+    'dim, size, msg', [['row', 2**23, r'2\*\*23 columns'],
+                       ['col', 2**24, r'2\*\*24 rows']])
+@check_figures_equal()
+def test_large_image(fig_test, fig_ref, dim, size, msg, origin):
+    # Check that Matplotlib downsamples images that are too big for AGG
+    # See issue #19276. Currently the fix only works for png output but not
+    # pdf or svg output.
+    ax_test = fig_test.subplots()
+    ax_ref = fig_ref.subplots()
+
+    array = np.zeros((1, size + 2))
+    array[:, array.size // 2:] = 1
+    if dim == 'col':
+        array = array.T
+    im = ax_test.imshow(array, vmin=0, vmax=1,
+                        aspect='auto', extent=(0, 1, 0, 1),
+                        interpolation='none',
+                        origin=origin)
+
+    with pytest.warns(UserWarning,
+                      match=f'Data with more than {msg} cannot be '
+                      'accurately displayed.'):
+        fig_test.canvas.draw()
+
+    array = np.zeros((1, 2))
+    array[:, 1] = 1
+    if dim == 'col':
+        array = array.T
+    im = ax_ref.imshow(array, vmin=0, vmax=1, aspect='auto',
+                       extent=(0, 1, 0, 1),
+                       interpolation='none',
+                       origin=origin)
+
+
+@check_figures_equal()
+def test_str_norms(fig_test, fig_ref):
+    t = np.random.rand(10, 10) * .8 + .1  # between 0 and 1
+    axts = fig_test.subplots(1, 5)
+    axts[0].imshow(t, norm="log")
+    axts[1].imshow(t, norm="log", vmin=.2)
+    axts[2].imshow(t, norm="symlog")
+    axts[3].imshow(t, norm="symlog", vmin=.3, vmax=.7)
+    axts[4].imshow(t, norm="logit", vmin=.3, vmax=.7)
+    axrs = fig_ref.subplots(1, 5)
+    axrs[0].imshow(t, norm=colors.LogNorm())
+    axrs[1].imshow(t, norm=colors.LogNorm(vmin=.2))
+    # same linthresh as SymmetricalLogScale's default.
+    axrs[2].imshow(t, norm=colors.SymLogNorm(linthresh=2))
+    axrs[3].imshow(t, norm=colors.SymLogNorm(linthresh=2, vmin=.3, vmax=.7))
+    axrs[4].imshow(t, norm="logit", clim=(.3, .7))
+
+    assert type(axts[0].images[0].norm) is colors.LogNorm  # Exactly that class
+    with pytest.raises(ValueError):
+        axts[0].imshow(t, norm="foobar")
+
+
+def test__resample_valid_output():
+    resample = functools.partial(mpl._image.resample, transform=Affine2D())
+    with pytest.raises(TypeError, match="incompatible function arguments"):
+        resample(np.zeros((9, 9)), None)
+    with pytest.raises(ValueError, match="different dimensionalities"):
+        resample(np.zeros((9, 9)), np.zeros((9, 9, 4)))
+    with pytest.raises(ValueError, match="different dimensionalities"):
+        resample(np.zeros((9, 9, 4)), np.zeros((9, 9)))
+    with pytest.raises(ValueError, match="3D input array must be RGBA"):
+        resample(np.zeros((9, 9, 3)), np.zeros((9, 9, 4)))
+    with pytest.raises(ValueError, match="3D output array must be RGBA"):
+        resample(np.zeros((9, 9, 4)), np.zeros((9, 9, 3)))
+    with pytest.raises(ValueError, match="mismatched types"):
+        resample(np.zeros((9, 9), np.uint8), np.zeros((9, 9)))
+    with pytest.raises(ValueError, match="must be C-contiguous"):
+        resample(np.zeros((9, 9)), np.zeros((9, 9)).T)
+
+    out = np.zeros((9, 9))
+    out.flags.writeable = False
+    with pytest.raises(ValueError, match="Output array must be writeable"):
+        resample(np.zeros((9, 9)), out)
+
+
+def test_axesimage_get_shape():
+    # generate dummy image to test get_shape method
+    ax = plt.gca()
+    im = AxesImage(ax)
+    with pytest.raises(RuntimeError, match="You must first set the image array"):
+        im.get_shape()
+    z = np.arange(12, dtype=float).reshape((4, 3))
+    im.set_data(z)
+    assert im.get_shape() == (4, 3)
+    assert im.get_size() == im.get_shape()
+
+
+def test_non_transdata_image_does_not_touch_aspect():
+    ax = plt.figure().add_subplot()
+    im = np.arange(4).reshape((2, 2))
+    ax.imshow(im, transform=ax.transAxes)
+    assert ax.get_aspect() == "auto"
+    ax.imshow(im, transform=Affine2D().scale(2) + ax.transData)
+    assert ax.get_aspect() == 1
+    ax.imshow(im, transform=ax.transAxes, aspect=2)
+    assert ax.get_aspect() == 2
+
+
+@image_comparison(
+    ['downsampling.png'], style='mpl20', remove_text=True, tol=0.09)
+def test_downsampling():
+    N = 450
+    x = np.arange(N) / N - 0.5
+    y = np.arange(N) / N - 0.5
+    aa = np.ones((N, N))
+    aa[::2, :] = -1
+
+    X, Y = np.meshgrid(x, y)
+    R = np.sqrt(X**2 + Y**2)
+    f0 = 5
+    k = 100
+    a = np.sin(np.pi * 2 * (f0 * R + k * R**2 / 2))
+    # make the left hand side of this
+    a[:int(N / 2), :][R[:int(N / 2), :] < 0.4] = -1
+    a[:int(N / 2), :][R[:int(N / 2), :] < 0.3] = 1
+    aa[:, int(N / 3):] = a[:, int(N / 3):]
+    a = aa
+
+    fig, axs = plt.subplots(2, 3, figsize=(7, 6), layout='compressed')
+    axs[0, 0].imshow(a, interpolation='nearest', interpolation_stage='rgba',
+                     cmap='RdBu_r')
+    axs[0, 0].set_xlim(125, 175)
+    axs[0, 0].set_ylim(250, 200)
+    axs[0, 0].set_title('Zoom')
+
+    for ax, interp, space in zip(axs.flat[1:], ['nearest', 'nearest', 'hanning',
+                                                'hanning', 'auto'],
+                                 ['data', 'rgba', 'data', 'rgba', 'auto']):
+        ax.imshow(a, interpolation=interp, interpolation_stage=space,
+                  cmap='RdBu_r')
+        ax.set_title(f"interpolation='{interp}'\nspace='{space}'")
+
+
+@image_comparison(
+    ['downsampling_speckle.png'], style='mpl20', remove_text=True, tol=0.09)
+def test_downsampling_speckle():
+    fig, axs = plt.subplots(1, 2, figsize=(5, 2.7), sharex=True, sharey=True,
+                            layout="compressed")
+    axs = axs.flatten()
+    img = ((np.arange(1024).reshape(-1, 1) * np.ones(720)) // 50).T
+
+    cm = plt.get_cmap("viridis")
+    cm.set_over("m")
+    norm = colors.LogNorm(vmin=3, vmax=11)
+
+    # old default cannot be tested because it creates over/under speckles
+    # in the following that are machine dependent.
+
+    axs[0].set_title("interpolation='auto', stage='rgba'")
+    axs[0].imshow(np.triu(img), cmap=cm, norm=norm, interpolation_stage='rgba')
+
+    # Should be same as previous
+    axs[1].set_title("interpolation='auto', stage='auto'")
+    axs[1].imshow(np.triu(img), cmap=cm, norm=norm)
+
+
+@image_comparison(
+    ['upsampling.png'], style='mpl20', remove_text=True)
+def test_upsampling():
+
+    np.random.seed(19680801+9)  # need this seed to get yellow next to blue
+    a = np.random.rand(4, 4)
+
+    fig, axs = plt.subplots(1, 3, figsize=(6.5, 3), layout='compressed')
+    im = axs[0].imshow(a, cmap='viridis')
+    axs[0].set_title(
+        "interpolation='auto'\nstage='antialaised'\n(default for upsampling)")
+
+    # probably what people want:
+    axs[1].imshow(a, cmap='viridis', interpolation='sinc')
+    axs[1].set_title(
+        "interpolation='sinc'\nstage='auto'\n(default for upsampling)")
+
+    # probably not what people want:
+    axs[2].imshow(a, cmap='viridis', interpolation='sinc', interpolation_stage='rgba')
+    axs[2].set_title("interpolation='sinc'\nstage='rgba'")
+    fig.colorbar(im, ax=axs, shrink=0.7, extend='both')
+
+
+@pytest.mark.parametrize(
+    'dtype',
+    ('float64', 'float32', 'int16', 'uint16', 'int8', 'uint8'),
+)
+@pytest.mark.parametrize('ndim', (2, 3))
+def test_resample_dtypes(dtype, ndim):
+    # Issue 28448, incorrect dtype comparisons in C++ image_resample can raise
+    # ValueError: arrays must be of dtype byte, short, float32 or float64
+    rng = np.random.default_rng(4181)
+    shape = (2, 2) if ndim == 2 else (2, 2, 3)
+    data = rng.uniform(size=shape).astype(np.dtype(dtype, copy=True))
+    fig, ax = plt.subplots()
+    axes_image = ax.imshow(data)
+    # Before fix the following raises ValueError for some dtypes.
+    axes_image.make_image(None)[0]
+
+
+@pytest.mark.parametrize('intp_stage', ('data', 'rgba'))
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_interpolation_stage_rgba_respects_alpha_param(fig_test, fig_ref, intp_stage):
+    axs_tst = fig_test.subplots(2, 3)
+    axs_ref = fig_ref.subplots(2, 3)
+    ny, nx = 3, 3
+    scalar_alpha = 0.5
+    array_alpha = np.random.rand(ny, nx)
+
+    # When the image does not have an alpha channel, alpha should be specified
+    # by the user or default to 1.0
+    im_rgb = np.random.rand(ny, nx, 3)
+    im_concat_default_a = np.ones((ny, nx, 1))  # alpha defaults to 1.0
+    im_rgba = np.concatenate(  # combine rgb channels with array alpha
+        (im_rgb, array_alpha.reshape((ny, nx, 1))), axis=-1
+    )
+    axs_tst[0][0].imshow(im_rgb)
+    axs_ref[0][0].imshow(np.concatenate((im_rgb, im_concat_default_a), axis=-1))
+    axs_tst[0][1].imshow(im_rgb, interpolation_stage=intp_stage, alpha=scalar_alpha)
+    axs_ref[0][1].imshow(
+        np.concatenate(  # combine rgb channels with broadcasted scalar alpha
+            (im_rgb, scalar_alpha * im_concat_default_a), axis=-1
+        ), interpolation_stage=intp_stage
+    )
+    axs_tst[0][2].imshow(im_rgb, interpolation_stage=intp_stage, alpha=array_alpha)
+    axs_ref[0][2].imshow(im_rgba, interpolation_stage=intp_stage)
+
+    # When the image already has an alpha channel, multiply it by the
+    # scalar alpha param, or replace it by the array alpha param
+    axs_tst[1][0].imshow(im_rgba)
+    axs_ref[1][0].imshow(im_rgb, alpha=array_alpha)
+    axs_tst[1][1].imshow(im_rgba, interpolation_stage=intp_stage, alpha=scalar_alpha)
+    axs_ref[1][1].imshow(
+        np.concatenate(  # combine rgb channels with scaled array alpha
+            (im_rgb, scalar_alpha * array_alpha.reshape((ny, nx, 1))), axis=-1
+        ), interpolation_stage=intp_stage
+    )
+    new_array_alpha = np.random.rand(ny, nx)
+    axs_tst[1][2].imshow(im_rgba, interpolation_stage=intp_stage, alpha=new_array_alpha)
+    axs_ref[1][2].imshow(
+        np.concatenate(  # combine rgb channels with new array alpha
+            (im_rgb, new_array_alpha.reshape((ny, nx, 1))), axis=-1
+        ), interpolation_stage=intp_stage
+    )
diff --git a/lib/matplotlib/tests/test_inset.py b/lib/matplotlib/tests/test_inset.py
new file mode 100644
index 000000000000..e368a4af4e1b
--- /dev/null
+++ b/lib/matplotlib/tests/test_inset.py
@@ -0,0 +1,142 @@
+import platform
+
+import pytest
+
+import matplotlib.colors as mcolors
+import matplotlib.pyplot as plt
+import matplotlib.transforms as mtransforms
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+
+
+def test_indicate_inset_no_args():
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match='At least one of bounds or inset_ax'):
+        ax.indicate_inset()
+
+
+@check_figures_equal()
+def test_zoom_inset_update_limits(fig_test, fig_ref):
+    # Updating the inset axes limits should also update the indicator #19768
+    ax_ref = fig_ref.add_subplot()
+    ax_test = fig_test.add_subplot()
+
+    for ax in ax_ref, ax_test:
+        ax.set_xlim([0, 5])
+        ax.set_ylim([0, 5])
+
+    inset_ref = ax_ref.inset_axes([0.6, 0.6, 0.3, 0.3])
+    inset_test = ax_test.inset_axes([0.6, 0.6, 0.3, 0.3])
+
+    inset_ref.set_xlim([1, 2])
+    inset_ref.set_ylim([3, 4])
+    ax_ref.indicate_inset_zoom(inset_ref)
+
+    ax_test.indicate_inset_zoom(inset_test)
+    inset_test.set_xlim([1, 2])
+    inset_test.set_ylim([3, 4])
+
+
+def test_inset_indicator_update_styles():
+    fig, ax = plt.subplots()
+    inset = ax.inset_axes([0.6, 0.6, 0.3, 0.3])
+    inset.set_xlim([0.2, 0.4])
+    inset.set_ylim([0.2, 0.4])
+
+    indicator = ax.indicate_inset_zoom(
+        inset, edgecolor='red', alpha=0.5, linewidth=2, linestyle='solid')
+
+    # Changing the rectangle styles should not affect the connectors.
+    indicator.rectangle.set(color='blue', linestyle='dashed', linewidth=42, alpha=0.2)
+    for conn in indicator.connectors:
+        assert mcolors.same_color(conn.get_edgecolor()[:3], 'red')
+        assert conn.get_alpha() == 0.5
+        assert conn.get_linestyle() == 'solid'
+        assert conn.get_linewidth() == 2
+
+    # Changing the indicator styles should affect both rectangle and connectors.
+    indicator.set(color='green', linestyle='dotted', linewidth=7, alpha=0.8)
+    assert mcolors.same_color(indicator.rectangle.get_facecolor()[:3], 'green')
+    for patch in (*indicator.connectors, indicator.rectangle):
+        assert mcolors.same_color(patch.get_edgecolor()[:3], 'green')
+        assert patch.get_alpha() == 0.8
+        assert patch.get_linestyle() == 'dotted'
+        assert patch.get_linewidth() == 7
+
+    indicator.set_edgecolor('purple')
+    for patch in (*indicator.connectors, indicator.rectangle):
+        assert mcolors.same_color(patch.get_edgecolor()[:3], 'purple')
+
+    # This should also be true if connectors weren't created yet.
+    indicator._connectors = []
+    indicator.set(color='burlywood', linestyle='dashdot', linewidth=4, alpha=0.4)
+    assert mcolors.same_color(indicator.rectangle.get_facecolor()[:3], 'burlywood')
+    for patch in (*indicator.connectors, indicator.rectangle):
+        assert mcolors.same_color(patch.get_edgecolor()[:3], 'burlywood')
+        assert patch.get_alpha() == 0.4
+        assert patch.get_linestyle() == 'dashdot'
+        assert patch.get_linewidth() == 4
+
+    indicator._connectors = []
+    indicator.set_edgecolor('thistle')
+    for patch in (*indicator.connectors, indicator.rectangle):
+        assert mcolors.same_color(patch.get_edgecolor()[:3], 'thistle')
+
+
+def test_inset_indicator_zorder():
+    fig, ax = plt.subplots()
+    rect = [0.2, 0.2, 0.3, 0.4]
+
+    inset = ax.indicate_inset(rect)
+    assert inset.get_zorder() == 4.99
+
+    inset = ax.indicate_inset(rect, zorder=42)
+    assert inset.get_zorder() == 42
+
+
+@image_comparison(['zoom_inset_connector_styles.png'], remove_text=True, style='mpl20',
+                  tol=0.024 if platform.machine() == 'arm64' else 0)
+def test_zoom_inset_connector_styles():
+    fig, axs = plt.subplots(2)
+    for ax in axs:
+        ax.plot([1, 2, 3])
+
+    axs[1].set_xlim(0.5, 1.5)
+    indicator = axs[0].indicate_inset_zoom(axs[1], linewidth=5)
+    # Make one visible connector a different style
+    indicator.connectors[1].set_linestyle('dashed')
+    indicator.connectors[1].set_color('blue')
+
+
+@image_comparison(['zoom_inset_transform.png'], remove_text=True, style='mpl20',
+                  tol=0.01)
+def test_zoom_inset_transform():
+    fig, ax = plt.subplots()
+
+    ax_ins = ax.inset_axes([0.2, 0.2, 0.3, 0.15])
+    ax_ins.set_ylim([0.3, 0.6])
+    ax_ins.set_xlim([0.5, 0.9])
+
+    tr = mtransforms.Affine2D().rotate_deg(30)
+    indicator = ax.indicate_inset_zoom(ax_ins, transform=tr + ax.transData)
+    for conn in indicator.connectors:
+        conn.set_visible(True)
+
+
+def test_zoom_inset_external_transform():
+    # Smoke test that an external transform that requires an axes (i.e.
+    # Cartopy) will work.
+    class FussyDataTr:
+        def _as_mpl_transform(self, axes=None):
+            if axes is None:
+                raise ValueError("I am a fussy transform that requires an axes")
+            return axes.transData
+
+    fig, ax = plt.subplots()
+
+    ax_ins = ax.inset_axes([0.2, 0.2, 0.3, 0.15])
+    ax_ins.set_xlim([0.7, 0.8])
+    ax_ins.set_ylim([0.7, 0.8])
+
+    ax.indicate_inset_zoom(ax_ins, transform=FussyDataTr())
+
+    fig.draw_without_rendering()
diff --git a/lib/matplotlib/tests/test_legend.py b/lib/matplotlib/tests/test_legend.py
index 048357410b35..d80c6b2ed92a 100644
--- a/lib/matplotlib/tests/test_legend.py
+++ b/lib/matplotlib/tests/test_legend.py
@@ -1,93 +1,220 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
-from nose.tools import assert_equal
+import collections
+import io
+import itertools
+import platform
+import time
+from unittest import mock
+import warnings
+
 import numpy as np
+from numpy.testing import assert_allclose
+import pytest
 
-from matplotlib.testing.decorators import image_comparison, cleanup
-from matplotlib.cbook import MatplotlibDeprecationWarning
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing._markers import needs_usetex
 import matplotlib.pyplot as plt
 import matplotlib as mpl
 import matplotlib.patches as mpatches
+import matplotlib.transforms as mtransforms
+import matplotlib.collections as mcollections
+import matplotlib.lines as mlines
+from matplotlib.legend_handler import HandlerTuple
+import matplotlib.legend as mlegend
+from matplotlib import rc_context
+from matplotlib.font_manager import FontProperties
+
+
+def test_legend_ordereddict():
+    # smoketest that ordereddict inputs work...
+
+    X = np.random.randn(10)
+    Y = np.random.randn(10)
+    labels = ['a'] * 5 + ['b'] * 5
+    colors = ['r'] * 5 + ['g'] * 5
+
+    fig, ax = plt.subplots()
+    for x, y, label, color in zip(X, Y, labels, colors):
+        ax.scatter(x, y, label=label, c=color)
+
+    handles, labels = ax.get_legend_handles_labels()
+    legend = collections.OrderedDict(zip(labels, handles))
+    ax.legend(legend.values(), legend.keys(),
+              loc='center left', bbox_to_anchor=(1, .5))
+
+
+def test_legend_generator():
+    # smoketest that generator inputs work
+    fig, ax = plt.subplots()
+    ax.plot([0, 1])
+    ax.plot([0, 2])
+
+    handles = (line for line in ax.get_lines())
+    labels = (label for label in ['spam', 'eggs'])
+
+    ax.legend(handles, labels, loc='upper left')
 
 
-@image_comparison(baseline_images=['legend_auto1'], remove_text=True)
+@image_comparison(['legend_auto1.png'], remove_text=True)
 def test_legend_auto1():
-    'Test automatic legend placement'
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    """Test automatic legend placement"""
+    fig, ax = plt.subplots()
     x = np.arange(100)
     ax.plot(x, 50 - x, 'o', label='y=1')
     ax.plot(x, x - 50, 'o', label='y=-1')
-    ax.legend(loc=0)
+    ax.legend(loc='best')
 
 
-@image_comparison(baseline_images=['legend_auto2'], remove_text=True)
+@image_comparison(['legend_auto2.png'], remove_text=True)
 def test_legend_auto2():
-    'Test automatic legend placement'
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    """Test automatic legend placement"""
+    fig, ax = plt.subplots()
     x = np.arange(100)
-    b1 = ax.bar(x, x, color='m')
-    b2 = ax.bar(x, x[::-1], color='g')
-    ax.legend([b1[0], b2[0]], ['up', 'down'], loc=0)
+    b1 = ax.bar(x, x, align='edge', color='m')
+    b2 = ax.bar(x, x[::-1], align='edge', color='g')
+    ax.legend([b1[0], b2[0]], ['up', 'down'], loc='best')
 
 
-@image_comparison(baseline_images=['legend_auto3'])
+@image_comparison(['legend_auto3.png'])
 def test_legend_auto3():
-    'Test automatic legend placement'
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    """Test automatic legend placement"""
+    fig, ax = plt.subplots()
     x = [0.9, 0.1, 0.1, 0.9, 0.9, 0.5]
     y = [0.95, 0.95, 0.05, 0.05, 0.5, 0.5]
     ax.plot(x, y, 'o-', label='line')
     ax.set_xlim(0.0, 1.0)
     ax.set_ylim(0.0, 1.0)
-    ax.legend(loc=0)
+    ax.legend(loc='best')
+
+
+def test_legend_auto4():
+    """
+    Check that the legend location with automatic placement is the same,
+    whatever the histogram type is. Related to issue #9580.
+    """
+    # NB: barstacked is pointless with a single dataset.
+    fig, axs = plt.subplots(ncols=3, figsize=(6.4, 2.4))
+    leg_bboxes = []
+    for ax, ht in zip(axs.flat, ('bar', 'step', 'stepfilled')):
+        ax.set_title(ht)
+        # A high bar on the left but an even higher one on the right.
+        ax.hist([0] + 5*[9], bins=range(10), label="Legend", histtype=ht)
+        leg = ax.legend(loc="best")
+        fig.canvas.draw()
+        leg_bboxes.append(
+            leg.get_window_extent().transformed(ax.transAxes.inverted()))
+
+    # The histogram type "bar" is assumed to be the correct reference.
+    assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)
+    assert_allclose(leg_bboxes[2].bounds, leg_bboxes[0].bounds)
+
 
+def test_legend_auto5():
+    """
+    Check that the automatic placement handle a rather complex
+    case with non rectangular patch. Related to issue #9580.
+    """
+    fig, axs = plt.subplots(ncols=2, figsize=(9.6, 4.8))
 
-@image_comparison(baseline_images=['legend_various_labels'], remove_text=True)
+    leg_bboxes = []
+    for ax, loc in zip(axs.flat, ("center", "best")):
+        # An Ellipse patch at the top, a U-shaped Polygon patch at the
+        # bottom and a ring-like Wedge patch: the correct placement of
+        # the legend should be in the center.
+        for _patch in [
+                mpatches.Ellipse(
+                    xy=(0.5, 0.9), width=0.8, height=0.2, fc="C1"),
+                mpatches.Polygon(np.array([
+                    [0, 1], [0, 0], [1, 0], [1, 1], [0.9, 1.0], [0.9, 0.1],
+                    [0.1, 0.1], [0.1, 1.0], [0.1, 1.0]]), fc="C1"),
+                mpatches.Wedge((0.5, 0.5), 0.5, 0, 360, width=0.05, fc="C0")
+                ]:
+            ax.add_patch(_patch)
+
+        ax.plot([0.1, 0.9], [0.9, 0.9], label="A segment")  # sthg to label
+
+        leg = ax.legend(loc=loc)
+        fig.canvas.draw()
+        leg_bboxes.append(
+            leg.get_window_extent().transformed(ax.transAxes.inverted()))
+
+    assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)
+
+
+@image_comparison(['legend_various_labels.png'], remove_text=True)
 def test_various_labels():
     # tests all sorts of label types
     fig = plt.figure()
     ax = fig.add_subplot(121)
-    ax.plot(list(xrange(4)), 'o', label=1)
-    ax.plot(np.linspace(4, 4.1), 'o', label='D\xe9velopp\xe9s')
-    ax.plot(list(xrange(4, 1, -1)), 'o', label='__nolegend__')
-    ax.legend(numpoints=1, loc=0)
+    ax.plot(np.arange(4), 'o', label=1)
+    ax.plot(np.linspace(4, 4.1), 'o', label='Développés')
+    ax.plot(np.arange(4, 1, -1), 'o', label='__nolegend__')
+    ax.legend(numpoints=1, loc='best')
 
 
-@image_comparison(baseline_images=['legend_labels_first'], extensions=['png'],
-                  remove_text=True)
+@image_comparison(['legend_labels_first.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.013)
 def test_labels_first():
     # test labels to left of markers
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(np.arange(10), '-o', label=1)
     ax.plot(np.ones(10)*5, ':x', label="x")
     ax.plot(np.arange(20, 10, -1), 'd', label="diamond")
-    ax.legend(loc=0, markerfirst=False)
+    ax.legend(loc='best', markerfirst=False)
+
+
+@image_comparison(['legend_multiple_keys.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.013)
+def test_multiple_keys():
+    # test legend entries with multiple keys
+    fig, ax = plt.subplots()
+    p1, = ax.plot([1, 2, 3], '-o')
+    p2, = ax.plot([2, 3, 4], '-x')
+    p3, = ax.plot([3, 4, 5], '-d')
+    ax.legend([(p1, p2), (p2, p1), p3], ['two keys', 'pad=0', 'one key'],
+              numpoints=1,
+              handler_map={(p1, p2): HandlerTuple(ndivide=None),
+                           (p2, p1): HandlerTuple(ndivide=None, pad=0)})
+
+
+@image_comparison(['rgba_alpha.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.03)
+def test_alpha_rgba():
+    fig, ax = plt.subplots()
+    ax.plot(range(10), lw=5)
+    leg = plt.legend(['Longlabel that will go away'], loc='center')
+    leg.legendPatch.set_facecolor([1, 0, 0, 0.5])
 
 
-@image_comparison(baseline_images=['fancy'], remove_text=True)
+@image_comparison(['rcparam_alpha.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.03)
+def test_alpha_rcparam():
+    fig, ax = plt.subplots()
+    ax.plot(range(10), lw=5)
+    with mpl.rc_context(rc={'legend.framealpha': .75}):
+        leg = plt.legend(['Longlabel that will go away'], loc='center')
+        # this alpha is going to be over-ridden by the rcparam with
+        # sets the alpha of the patch to be non-None which causes the alpha
+        # value of the face color to be discarded.  This behavior may not be
+        # ideal, but it is what it is and we should keep track of it changing
+        leg.legendPatch.set_facecolor([1, 0, 0, 0.5])
+
+
+@image_comparison(['fancy.png'], remove_text=True, tol=0.05)
 def test_fancy():
+    # Tolerance caused by changing default shadow "shade" from 0.3 to 1 - 0.7 =
+    # 0.30000000000000004
     # using subplot triggers some offsetbox functionality untested elsewhere
     plt.subplot(121)
-    plt.scatter(list(xrange(10)), list(xrange(10, 0, -1)), label='XX\nXX')
     plt.plot([5] * 10, 'o--', label='XX')
-    plt.errorbar(list(xrange(10)), list(xrange(10)), xerr=0.5, yerr=0.5, label='XX')
+    plt.scatter(np.arange(10), np.arange(10, 0, -1), label='XX\nXX')
+    plt.errorbar(np.arange(10), np.arange(10), xerr=0.5,
+                 yerr=0.5, label='XX')
     plt.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
-               ncol=2, shadow=True, title="My legend", numpoints=1)
+               ncols=2, shadow=True, title="My legend", numpoints=1)
 
 
-@image_comparison(baseline_images=['framealpha'], remove_text=True)
+@image_comparison(['framealpha'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.024)
 def test_framealpha():
     x = np.linspace(1, 100, 100)
     y = x
@@ -95,147 +222,309 @@ def test_framealpha():
     plt.legend(framealpha=0.5)
 
 
-@image_comparison(baseline_images=['scatter_rc3', 'scatter_rc1'], remove_text=True)
+@image_comparison(['scatter_rc3.png', 'scatter_rc1.png'], remove_text=True)
 def test_rc():
     # using subplot triggers some offsetbox functionality untested elsewhere
-    fig = plt.figure()
+    plt.figure()
     ax = plt.subplot(121)
-    ax.scatter(list(xrange(10)), list(xrange(10, 0, -1)), label='three')
+    ax.scatter(np.arange(10), np.arange(10, 0, -1), label='three')
     ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
               title="My legend")
 
     mpl.rcParams['legend.scatterpoints'] = 1
-    fig = plt.figure()
+    plt.figure()
     ax = plt.subplot(121)
-    ax.scatter(list(xrange(10)), list(xrange(10, 0, -1)), label='one')
+    ax.scatter(np.arange(10), np.arange(10, 0, -1), label='one')
     ax.legend(loc="center left", bbox_to_anchor=[1.0, 0.5],
               title="My legend")
 
 
-@image_comparison(baseline_images=['legend_expand'], remove_text=True)
+@image_comparison(['legend_expand.png'], remove_text=True)
 def test_legend_expand():
-    'Test expand mode'
+    """Test expand mode"""
     legend_modes = [None, "expand"]
-    fig, axes_list = plt.subplots(len(legend_modes), 1)
+    fig, axs = plt.subplots(len(legend_modes), 1)
     x = np.arange(100)
-    for ax, mode in zip(axes_list, legend_modes):
+    for ax, mode in zip(axs, legend_modes):
         ax.plot(x, 50 - x, 'o', label='y=1')
-        l1 = ax.legend(loc=2, mode=mode)
+        l1 = ax.legend(loc='upper left', mode=mode)
         ax.add_artist(l1)
         ax.plot(x, x - 50, 'o', label='y=-1')
-        l2 = ax.legend(loc=5, mode=mode)
+        l2 = ax.legend(loc='right', mode=mode)
         ax.add_artist(l2)
-        ax.legend(loc=3, mode=mode, ncol=2)
+        ax.legend(loc='lower left', mode=mode, ncols=2)
+
+
+@image_comparison(['hatching'], remove_text=True, style='default')
+def test_hatching():
+    # Remove legend texts when this image is regenerated.
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, ax = plt.subplots()
+
+    # Patches
+    patch = plt.Rectangle((0, 0), 0.3, 0.3, hatch='xx',
+                          label='Patch\ndefault color\nfilled')
+    ax.add_patch(patch)
+    patch = plt.Rectangle((0.33, 0), 0.3, 0.3, hatch='||', edgecolor='C1',
+                          label='Patch\nexplicit color\nfilled')
+    ax.add_patch(patch)
+    patch = plt.Rectangle((0, 0.4), 0.3, 0.3, hatch='xx', fill=False,
+                          label='Patch\ndefault color\nunfilled')
+    ax.add_patch(patch)
+    patch = plt.Rectangle((0.33, 0.4), 0.3, 0.3, hatch='||', fill=False,
+                          edgecolor='C1',
+                          label='Patch\nexplicit color\nunfilled')
+    ax.add_patch(patch)
+
+    # Paths
+    ax.fill_between([0, .15, .3], [.8, .8, .8], [.9, 1.0, .9],
+                    hatch='+', label='Path\ndefault color')
+    ax.fill_between([.33, .48, .63], [.8, .8, .8], [.9, 1.0, .9],
+                    hatch='+', edgecolor='C2', label='Path\nexplicit color')
+
+    ax.set_xlim(-0.01, 1.1)
+    ax.set_ylim(-0.01, 1.1)
+    ax.legend(handlelength=4, handleheight=4)
 
 
-@cleanup
 def test_legend_remove():
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     lines = ax.plot(range(10))
     leg = fig.legend(lines, "test")
     leg.remove()
-    assert_equal(fig.legends, [])
+    assert fig.legends == []
     leg = ax.legend("test")
     leg.remove()
     assert ax.get_legend() is None
 
 
-class TestLegendFunction(object):
-    # Tests the legend function on the Axes and pyplot.
+def test_reverse_legend_handles_and_labels():
+    """Check that the legend handles and labels are reversed."""
+    fig, ax = plt.subplots()
+    x = 1
+    y = 1
+    labels = ["First label", "Second label", "Third label"]
+    markers = ['.', ',', 'o']
 
-    deprecation_message = ('The "loc" positional argument '
-                           'to legend is deprecated. Please use '
-                           'the "loc" keyword instead.')
-
-    @cleanup
-    def test_legend_label_loc_args(self):
-        # Check the deprecated warning is created and that the appropriate
-        # call to Legend is made. This wouldn't actually create a valid
-        # legend as there is no artist to legendify, but that doesn't matter.
-        with mock.patch('matplotlib.cbook.warn_deprecated') as deprecation:
-            with mock.patch('matplotlib.legend.Legend') as Legend:
-                plt.legend(['hello world'], 1)
-
-        deprecation.assert_called_with('1.4', self.deprecation_message)
-        Legend.assert_called_with(plt.gca(), [], ['hello world'], loc=1)
-
-    @cleanup
-    def test_old_legend_handler_interface(self):
-        # Check the deprecated warning is created and that the appropriate
-        # call to the legend handler is made.
-        class AnyObject(object):
-            pass
-
-        class AnyObjectHandler(object):
-            def __call__(self, legend, orig_handle, fontsize, handlebox):
-                x0, y0 = handlebox.xdescent, handlebox.ydescent
-                width, height = handlebox.width, handlebox.height
-                patch = mpatches.Rectangle([x0, y0], width, height, facecolor='red',
-                                           edgecolor='black', hatch='xx', lw=3,
-                                           transform=handlebox.get_transform())
-                handlebox.add_artist(patch)
-                return patch
-
-        with mock.patch('warnings.warn') as warn:
-            plt.legend([None], ['My first handler'],
-                       handler_map={None: AnyObjectHandler()})
-
-        warn.assert_called_with('Legend handers must now implement a '
-                                '"legend_artist" method rather than '
-                                'being a callable.',
-                                MatplotlibDeprecationWarning,
-                                stacklevel=1)
-
-    @cleanup
-    def test_legend_handle_label_loc_args(self):
-        # Check the deprecated warning is created and that the appropriate
-        # call to Legend is made.
-        lines = plt.plot(range(10))
-        with mock.patch('matplotlib.cbook.warn_deprecated') as deprecation:
-            with mock.patch('matplotlib.legend.Legend') as Legend:
-                plt.legend(lines, ['hello world'], 1)
+    ax.plot(x, y, markers[0], label=labels[0])
+    ax.plot(x, y, markers[1], label=labels[1])
+    ax.plot(x, y, markers[2], label=labels[2])
+    leg = ax.legend(reverse=True)
+    actual_labels = [t.get_text() for t in leg.get_texts()]
+    actual_markers = [h.get_marker() for h in leg.legend_handles]
+    assert actual_labels == list(reversed(labels))
+    assert actual_markers == list(reversed(markers))
 
-        deprecation.assert_called_with('1.4', self.deprecation_message)
-        Legend.assert_called_with(plt.gca(), lines, ['hello world'], loc=1)
 
-    @cleanup
-    def test_legend_handle_label(self):
-        lines = plt.plot(range(10))
-        with mock.patch('matplotlib.legend.Legend') as Legend:
-            plt.legend(lines, ['hello world'])
-        Legend.assert_called_with(plt.gca(), lines, ['hello world'])
+@check_figures_equal()
+def test_reverse_legend_display(fig_test, fig_ref):
+    """Check that the rendered legend entries are reversed"""
+    ax = fig_test.subplots()
+    ax.plot([1], 'ro', label="first")
+    ax.plot([2], 'bx', label="second")
+    ax.legend(reverse=True)
+
+    ax = fig_ref.subplots()
+    ax.plot([2], 'bx', label="second")
+    ax.plot([1], 'ro', label="first")
+    ax.legend()
 
-    @cleanup
+
+class TestLegendFunction:
+    # Tests the legend function on the Axes and pyplot.
     def test_legend_no_args(self):
         lines = plt.plot(range(10), label='hello world')
         with mock.patch('matplotlib.legend.Legend') as Legend:
             plt.legend()
         Legend.assert_called_with(plt.gca(), lines, ['hello world'])
 
-    @cleanup
-    def test_legend_label_args(self):
+    def test_legend_positional_handles_labels(self):
+        lines = plt.plot(range(10))
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            plt.legend(lines, ['hello world'])
+        Legend.assert_called_with(plt.gca(), lines, ['hello world'])
+
+    def test_legend_positional_handles_only(self):
+        lines = plt.plot(range(10))
+        with pytest.raises(TypeError, match='but found an Artist'):
+            # a single arg is interpreted as labels
+            # it's a common error to just pass handles
+            plt.legend(lines)
+
+    def test_legend_positional_labels_only(self):
         lines = plt.plot(range(10), label='hello world')
         with mock.patch('matplotlib.legend.Legend') as Legend:
             plt.legend(['foobar'])
         Legend.assert_called_with(plt.gca(), lines, ['foobar'])
 
-    @cleanup
+    def test_legend_three_args(self):
+        lines = plt.plot(range(10), label='hello world')
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            plt.legend(lines, ['foobar'], loc='right')
+        Legend.assert_called_with(plt.gca(), lines, ['foobar'], loc='right')
+
     def test_legend_handler_map(self):
         lines = plt.plot(range(10), label='hello world')
-        with mock.patch('matplotlib.axes.Axes.'
-                        'get_legend_handles_labels') as handles_labels:
+        with mock.patch('matplotlib.legend.'
+                        '_get_legend_handles_labels') as handles_labels:
             handles_labels.return_value = lines, ['hello world']
             plt.legend(handler_map={'1': 2})
-        handles_labels.assert_called_with({'1': 2})
+        handles_labels.assert_called_with([plt.gca()], {'1': 2})
+
+    def test_legend_kwargs_handles_only(self):
+        fig, ax = plt.subplots()
+        x = np.linspace(0, 1, 11)
+        ln1, = ax.plot(x, x, label='x')
+        ln2, = ax.plot(x, 2*x, label='2x')
+        ln3, = ax.plot(x, 3*x, label='3x')
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            ax.legend(handles=[ln3, ln2])  # reversed and not ln1
+        Legend.assert_called_with(ax, [ln3, ln2], ['3x', '2x'])
+
+    def test_legend_kwargs_labels_only(self):
+        fig, ax = plt.subplots()
+        x = np.linspace(0, 1, 11)
+        ln1, = ax.plot(x, x)
+        ln2, = ax.plot(x, 2*x)
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            ax.legend(labels=['x', '2x'])
+        Legend.assert_called_with(ax, [ln1, ln2], ['x', '2x'])
+
+    def test_legend_kwargs_handles_labels(self):
+        fig, ax = plt.subplots()
+        th = np.linspace(0, 2*np.pi, 1024)
+        lns, = ax.plot(th, np.sin(th), label='sin')
+        lnc, = ax.plot(th, np.cos(th), label='cos')
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            # labels of lns, lnc are overwritten with explicit ('a', 'b')
+            ax.legend(labels=('a', 'b'), handles=(lnc, lns))
+        Legend.assert_called_with(ax, (lnc, lns), ('a', 'b'))
+
+    def test_error_mixed_args_and_kwargs(self):
+        fig, ax = plt.subplots()
+        th = np.linspace(0, 2*np.pi, 1024)
+        lns, = ax.plot(th, np.sin(th), label='sin')
+        lnc, = ax.plot(th, np.cos(th), label='cos')
+        msg = 'must both be passed positionally or both as keywords'
+        with pytest.raises(TypeError, match=msg):
+            ax.legend((lnc, lns), labels=('a', 'b'))
+
+    def test_parasite(self):
+        from mpl_toolkits.axes_grid1 import host_subplot  # type: ignore[import]
+
+        host = host_subplot(111)
+        par = host.twinx()
+
+        p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
+        p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")
+
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            plt.legend()
+        Legend.assert_called_with(host, [p1, p2], ['Density', 'Temperature'])
+
+
+class TestLegendFigureFunction:
+    # Tests the legend function for figure
+    def test_legend_handle_label(self):
+        fig, ax = plt.subplots()
+        lines = ax.plot(range(10))
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            fig.legend(lines, ['hello world'])
+        Legend.assert_called_with(fig, lines, ['hello world'],
+                                  bbox_transform=fig.transFigure)
+
+    def test_legend_no_args(self):
+        fig, ax = plt.subplots()
+        lines = ax.plot(range(10), label='hello world')
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            fig.legend()
+        Legend.assert_called_with(fig, lines, ['hello world'],
+                                  bbox_transform=fig.transFigure)
+
+    def test_legend_label_arg(self):
+        fig, ax = plt.subplots()
+        lines = ax.plot(range(10))
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            fig.legend(['foobar'])
+        Legend.assert_called_with(fig, lines, ['foobar'],
+                                  bbox_transform=fig.transFigure)
+
+    def test_legend_label_three_args(self):
+        fig, ax = plt.subplots()
+        lines = ax.plot(range(10))
+        with pytest.raises(TypeError, match="0-2"):
+            fig.legend(lines, ['foobar'], 'right')
+        with pytest.raises(TypeError, match="0-2"):
+            fig.legend(lines, ['foobar'], 'right', loc='left')
+
+    def test_legend_kw_args(self):
+        fig, axs = plt.subplots(1, 2)
+        lines = axs[0].plot(range(10))
+        lines2 = axs[1].plot(np.arange(10) * 2.)
+        with mock.patch('matplotlib.legend.Legend') as Legend:
+            fig.legend(loc='right', labels=('a', 'b'), handles=(lines, lines2))
+        Legend.assert_called_with(
+            fig, (lines, lines2), ('a', 'b'), loc='right',
+            bbox_transform=fig.transFigure)
+
+    def test_error_args_kwargs(self):
+        fig, axs = plt.subplots(1, 2)
+        lines = axs[0].plot(range(10))
+        lines2 = axs[1].plot(np.arange(10) * 2.)
+        msg = 'must both be passed positionally or both as keywords'
+        with pytest.raises(TypeError, match=msg):
+            fig.legend((lines, lines2), labels=('a', 'b'))
 
 
-@image_comparison(baseline_images=['legend_stackplot'], extensions=['png'])
+def test_figure_legend_outside():
+    todos = ['upper ' + pos for pos in ['left', 'center', 'right']]
+    todos += ['lower ' + pos for pos in ['left', 'center', 'right']]
+    todos += ['left ' + pos for pos in ['lower', 'center', 'upper']]
+    todos += ['right ' + pos for pos in ['lower', 'center', 'upper']]
+
+    upperext = [20.347556,  27.722556, 790.583, 545.499]
+    lowerext = [20.347556,  71.056556, 790.583, 588.833]
+    leftext = [151.681556, 27.722556, 790.583, 588.833]
+    rightext = [20.347556,  27.722556, 659.249, 588.833]
+    axbb = [upperext, upperext, upperext,
+            lowerext, lowerext, lowerext,
+            leftext, leftext, leftext,
+            rightext, rightext, rightext]
+
+    legbb = [[10., 555., 133., 590.],     # upper left
+             [338.5, 555., 461.5, 590.],  # upper center
+             [667, 555., 790.,  590.],    # upper right
+             [10., 10., 133.,  45.],      # lower left
+             [338.5, 10., 461.5,  45.],   # lower center
+             [667., 10., 790.,  45.],     # lower right
+             [10., 10., 133., 45.],       # left lower
+             [10., 282.5, 133., 317.5],   # left center
+             [10., 555., 133., 590.],     # left upper
+             [667, 10., 790., 45.],       # right lower
+             [667., 282.5, 790., 317.5],  # right center
+             [667., 555., 790., 590.]]    # right upper
+
+    for nn, todo in enumerate(todos):
+        print(todo)
+        fig, axs = plt.subplots(constrained_layout=True, dpi=100)
+        axs.plot(range(10), label='Boo1')
+        leg = fig.legend(loc='outside ' + todo)
+        fig.draw_without_rendering()
+
+        assert_allclose(axs.get_window_extent().extents,
+                        axbb[nn])
+        assert_allclose(leg.get_window_extent().extents,
+                        legbb[nn])
+
+
+@image_comparison(['legend_stackplot.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.031)
 def test_legend_stackplot():
-    '''test legend for PolyCollection using stackplot'''
+    """Test legend for PolyCollection using stackplot."""
     # related to #1341, #1943, and PR #3303
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     x = np.linspace(0, 10, 10)
     y1 = 1.0 * x
     y2 = 2.0 * x + 1
@@ -243,9 +532,943 @@ def test_legend_stackplot():
     ax.stackplot(x, y1, y2, y3, labels=['y1', 'y2', 'y3'])
     ax.set_xlim((0, 10))
     ax.set_ylim((0, 70))
+    ax.legend(loc='best')
+
+
+def test_cross_figure_patch_legend():
+    fig, ax = plt.subplots()
+    fig2, ax2 = plt.subplots()
+
+    brs = ax.bar(range(3), range(3))
+    fig2.legend(brs, 'foo')
+
+
+def test_nanscatter():
+    fig, ax = plt.subplots()
+
+    h = ax.scatter([np.nan], [np.nan], marker="o",
+                   facecolor="r", edgecolor="r", s=3)
+
+    ax.legend([h], ["scatter"])
+
+    fig, ax = plt.subplots()
+    for color in ['red', 'green', 'blue']:
+        n = 750
+        x, y = np.random.rand(2, n)
+        scale = 200.0 * np.random.rand(n)
+        ax.scatter(x, y, c=color, s=scale, label=color,
+                   alpha=0.3, edgecolors='none')
+
+    ax.legend()
+    ax.grid(True)
+
+
+def test_legend_repeatcheckok():
+    fig, ax = plt.subplots()
+    ax.scatter(0.0, 1.0, color='k', marker='o', label='test')
+    ax.scatter(0.5, 0.0, color='r', marker='v', label='test')
+    ax.legend()
+    hand, lab = mlegend._get_legend_handles_labels([ax])
+    assert len(lab) == 2
+    fig, ax = plt.subplots()
+    ax.scatter(0.0, 1.0, color='k', marker='o', label='test')
+    ax.scatter(0.5, 0.0, color='k', marker='v', label='test')
+    ax.legend()
+    hand, lab = mlegend._get_legend_handles_labels([ax])
+    assert len(lab) == 2
+
+
+@image_comparison(['not_covering_scatter.png'])
+def test_not_covering_scatter():
+    colors = ['b', 'g', 'r']
+
+    for n in range(3):
+        plt.scatter([n], [n], color=colors[n])
+
+    plt.legend(['foo', 'foo', 'foo'], loc='best')
+    plt.gca().set_xlim(-0.5, 2.2)
+    plt.gca().set_ylim(-0.5, 2.2)
+
+
+@image_comparison(['not_covering_scatter_transform.png'])
+def test_not_covering_scatter_transform():
+    # Offsets point to top left, the default auto position
+    offset = mtransforms.Affine2D().translate(-20, 20)
+    x = np.linspace(0, 30, 1000)
+    plt.plot(x, x)
+
+    plt.scatter([20], [10], transform=offset + plt.gca().transData)
+
+    plt.legend(['foo', 'bar'], loc='best')
+
+
+def test_linecollection_scaled_dashes():
+    lines1 = [[(0, .5), (.5, 1)], [(.3, .6), (.2, .2)]]
+    lines2 = [[[0.7, .2], [.8, .4]], [[.5, .7], [.6, .1]]]
+    lines3 = [[[0.6, .2], [.8, .4]], [[.5, .7], [.1, .1]]]
+    lc1 = mcollections.LineCollection(lines1, linestyles="--", lw=3)
+    lc2 = mcollections.LineCollection(lines2, linestyles="-.")
+    lc3 = mcollections.LineCollection(lines3, linestyles=":", lw=.5)
+
+    fig, ax = plt.subplots()
+    ax.add_collection(lc1)
+    ax.add_collection(lc2)
+    ax.add_collection(lc3)
+
+    leg = ax.legend([lc1, lc2, lc3], ["line1", "line2", 'line 3'])
+    h1, h2, h3 = leg.legend_handles
+
+    for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):
+        assert oh.get_linestyles()[0] == lh._dash_pattern
+
+
+def test_handler_numpoints():
+    """Test legend handler with numpoints <= 1."""
+    # related to #6921 and PR #8478
+    fig, ax = plt.subplots()
+    ax.plot(range(5), label='test')
+    ax.legend(numpoints=0.5)
+
+
+def test_text_nohandler_warning():
+    """Test that Text artists with labels raise a warning"""
+    fig, ax = plt.subplots()
+    ax.plot([0], label="mock data")
+    ax.text(x=0, y=0, s="text", label="label")
+    with pytest.warns(UserWarning) as record:
+        ax.legend()
+    assert len(record) == 1
+
+    # this should _not_ warn:
+    f, ax = plt.subplots()
+    ax.pcolormesh(np.random.uniform(0, 1, (10, 10)))
+    with warnings.catch_warnings():
+        warnings.simplefilter("error")
+        ax.get_legend_handles_labels()
+
+
+def test_empty_bar_chart_with_legend():
+    """Test legend when bar chart is empty with a label."""
+    # related to issue #13003. Calling plt.legend() should not
+    # raise an IndexError.
+    plt.bar([], [], label='test')
+    plt.legend()
+
+
+@image_comparison(['shadow_argument_types.png'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.028)
+def test_shadow_argument_types():
+    # Test that different arguments for shadow work as expected
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], label='test')
+
+    # Test various shadow configurations
+    # as well as different ways of specifying colors
+    legs = (ax.legend(loc='upper left', shadow=True),    # True
+            ax.legend(loc='upper right', shadow=False),  # False
+            ax.legend(loc='center left',                 # string
+                      shadow={'color': 'red', 'alpha': 0.1}),
+            ax.legend(loc='center right',                # tuple
+                      shadow={'color': (0.1, 0.2, 0.5), 'oy': -5}),
+            ax.legend(loc='lower left',                   # tab
+                      shadow={'color': 'tab:cyan', 'ox': 10})
+            )
+    for l in legs:
+        ax.add_artist(l)
+    ax.legend(loc='lower right')  # default
+
+
+def test_shadow_invalid_argument():
+    # Test if invalid argument to legend shadow
+    # (i.e. not [color|bool]) raises ValueError
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], label='test')
+    with pytest.raises(ValueError, match="dict or bool"):
+        ax.legend(loc="upper left", shadow="aardvark")  # Bad argument
+
+
+def test_shadow_framealpha():
+    # Test if framealpha is activated when shadow is True
+    # and framealpha is not explicitly passed'''
+    fig, ax = plt.subplots()
+    ax.plot(range(100), label="test")
+    leg = ax.legend(shadow=True, facecolor='w')
+    assert leg.get_frame().get_alpha() == 1
+
+
+def test_legend_title_empty():
+    # test that if we don't set the legend title, that
+    # it comes back as an empty string, and that it is not
+    # visible:
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label="mock data")
+    leg = ax.legend()
+    assert leg.get_title().get_text() == ""
+    assert not leg.get_title().get_visible()
+
+
+def test_legend_proper_window_extent():
+    # test that legend returns the expected extent under various dpi...
+    fig, ax = plt.subplots(dpi=100)
+    ax.plot(range(10), label='Aardvark')
+    leg = ax.legend()
+    x01 = leg.get_window_extent(fig.canvas.get_renderer()).x0
+
+    fig, ax = plt.subplots(dpi=200)
+    ax.plot(range(10), label='Aardvark')
+    leg = ax.legend()
+    x02 = leg.get_window_extent(fig.canvas.get_renderer()).x0
+    assert pytest.approx(x01*2, 0.1) == x02
+
+
+def test_window_extent_cached_renderer():
+    fig, ax = plt.subplots(dpi=100)
+    ax.plot(range(10), label='Aardvark')
+    leg = ax.legend()
+    leg2 = fig.legend()
+    fig.canvas.draw()
+    # check that get_window_extent will use the cached renderer
+    leg.get_window_extent()
+    leg2.get_window_extent()
+
+
+def test_legend_title_fontprop_fontsize():
+    # test the title_fontsize kwarg
+    plt.plot(range(10), label="mock data")
+    with pytest.raises(ValueError):
+        plt.legend(title='Aardvark', title_fontsize=22,
+                   title_fontproperties={'family': 'serif', 'size': 22})
+
+    leg = plt.legend(title='Aardvark', title_fontproperties=FontProperties(
+                                       family='serif', size=22))
+    assert leg.get_title().get_size() == 22
+
+    fig, axes = plt.subplots(2, 3, figsize=(10, 6))
+    axes = axes.flat
+    axes[0].plot(range(10), label="mock data")
+    leg0 = axes[0].legend(title='Aardvark', title_fontsize=22)
+    assert leg0.get_title().get_fontsize() == 22
+    axes[1].plot(range(10), label="mock data")
+    leg1 = axes[1].legend(title='Aardvark',
+                          title_fontproperties={'family': 'serif', 'size': 22})
+    assert leg1.get_title().get_fontsize() == 22
+    axes[2].plot(range(10), label="mock data")
+    mpl.rcParams['legend.title_fontsize'] = None
+    leg2 = axes[2].legend(title='Aardvark',
+                          title_fontproperties={'family': 'serif'})
+    assert leg2.get_title().get_fontsize() == mpl.rcParams['font.size']
+    axes[3].plot(range(10), label="mock data")
+    leg3 = axes[3].legend(title='Aardvark')
+    assert leg3.get_title().get_fontsize() == mpl.rcParams['font.size']
+    axes[4].plot(range(10), label="mock data")
+    mpl.rcParams['legend.title_fontsize'] = 20
+    leg4 = axes[4].legend(title='Aardvark',
+                          title_fontproperties={'family': 'serif'})
+    assert leg4.get_title().get_fontsize() == 20
+    axes[5].plot(range(10), label="mock data")
+    leg5 = axes[5].legend(title='Aardvark')
+    assert leg5.get_title().get_fontsize() == 20
+
+
+@pytest.mark.parametrize('alignment', ('center', 'left', 'right'))
+def test_legend_alignment(alignment):
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label='test')
+    leg = ax.legend(title="Aardvark", alignment=alignment)
+    assert leg.get_children()[0].align == alignment
+    assert leg.get_alignment() == alignment
+
+
+@pytest.mark.parametrize('loc', ('center', 'best',))
+def test_ax_legend_set_loc(loc):
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label='test')
+    leg = ax.legend()
+    leg.set_loc(loc)
+    assert leg._get_loc() == mlegend.Legend.codes[loc]
+
+
+@pytest.mark.parametrize('loc', ('outside right', 'right',))
+def test_fig_legend_set_loc(loc):
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label='test')
+    leg = fig.legend()
+    leg.set_loc(loc)
+
+    loc = loc.split()[1] if loc.startswith("outside") else loc
+    assert leg._get_loc() == mlegend.Legend.codes[loc]
+
+
+@pytest.mark.parametrize('alignment', ('center', 'left', 'right'))
+def test_legend_set_alignment(alignment):
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label='test')
+    leg = ax.legend()
+    leg.set_alignment(alignment)
+    assert leg.get_children()[0].align == alignment
+    assert leg.get_alignment() == alignment
+
+
+@pytest.mark.parametrize('color', ('red', 'none', (.5, .5, .5)))
+def test_legend_labelcolor_single(color):
+    # test labelcolor for a single color
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3')
+
+    leg = ax.legend(labelcolor=color)
+    for text in leg.get_texts():
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_list():
+    # test labelcolor for a list of colors
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3')
+
+    leg = ax.legend(labelcolor=['r', 'g', 'b'])
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_linecolor():
+    # test the labelcolor for labelcolor='linecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', color='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', color='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', color='b')
+
+    leg = ax.legend(labelcolor='linecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_linecolor():
+    # test the labelcolor for labelcolor='linecolor' on PathCollection
+    fig, ax = plt.subplots()
+    ax.scatter(np.arange(10), np.arange(10)*1, label='#1', c='r')
+    ax.scatter(np.arange(10), np.arange(10)*2, label='#2', c='g')
+    ax.scatter(np.arange(10), np.arange(10)*3, label='#3', c='b')
+
+    leg = ax.legend(labelcolor='linecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_linecolor_iterable():
+    # test the labelcolor for labelcolor='linecolor' on PathCollection
+    # with iterable colors
+    fig, ax = plt.subplots()
+    colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)
+    ax.scatter(np.arange(10), np.arange(10), label='#1', c=colors)
+
+    leg = ax.legend(labelcolor='linecolor')
+    text, = leg.get_texts()
+    assert mpl.colors.same_color(text.get_color(), 'black')
+
+
+def test_legend_pathcollection_labelcolor_linecolor_cmap():
+    # test the labelcolor for labelcolor='linecolor' on PathCollection
+    # with a colormap
+    fig, ax = plt.subplots()
+    ax.scatter(np.arange(10), np.arange(10), c=np.arange(10), label='#1')
+
+    leg = ax.legend(labelcolor='linecolor')
+    text, = leg.get_texts()
+    assert mpl.colors.same_color(text.get_color(), 'black')
+
+
+def test_legend_labelcolor_markeredgecolor():
+    # test the labelcolor for labelcolor='markeredgecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markeredgecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markeredgecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markeredgecolor='b')
+
+    leg = ax.legend(labelcolor='markeredgecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markeredgecolor():
+    # test the labelcolor for labelcolor='markeredgecolor' on PathCollection
+    fig, ax = plt.subplots()
+    ax.scatter(np.arange(10), np.arange(10)*1, label='#1', edgecolor='r')
+    ax.scatter(np.arange(10), np.arange(10)*2, label='#2', edgecolor='g')
+    ax.scatter(np.arange(10), np.arange(10)*3, label='#3', edgecolor='b')
+
+    leg = ax.legend(labelcolor='markeredgecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markeredgecolor_iterable():
+    # test the labelcolor for labelcolor='markeredgecolor' on PathCollection
+    # with iterable colors
+    fig, ax = plt.subplots()
+    colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)
+    ax.scatter(np.arange(10), np.arange(10), label='#1', edgecolor=colors)
+
+    leg = ax.legend(labelcolor='markeredgecolor')
+    for text, color in zip(leg.get_texts(), ['k']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markeredgecolor_cmap():
+    # test the labelcolor for labelcolor='markeredgecolor' on PathCollection
+    # with a colormap
+    fig, ax = plt.subplots()
+    edgecolors = mpl.colormaps["viridis"](np.random.rand(10))
+    ax.scatter(
+        np.arange(10),
+        np.arange(10),
+        label='#1',
+        c=np.arange(10),
+        edgecolor=edgecolors,
+        cmap="Reds"
+    )
+
+    leg = ax.legend(labelcolor='markeredgecolor')
+    for text, color in zip(leg.get_texts(), ['k']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_markerfacecolor():
+    # test the labelcolor for labelcolor='markerfacecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markerfacecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markerfacecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markerfacecolor='b')
+
+    leg = ax.legend(labelcolor='markerfacecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markerfacecolor():
+    # test the labelcolor for labelcolor='markerfacecolor' on PathCollection
+    fig, ax = plt.subplots()
+    ax.scatter(np.arange(10), np.arange(10)*1, label='#1', facecolor='r')
+    ax.scatter(np.arange(10), np.arange(10)*2, label='#2', facecolor='g')
+    ax.scatter(np.arange(10), np.arange(10)*3, label='#3', facecolor='b')
+
+    leg = ax.legend(labelcolor='markerfacecolor')
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markerfacecolor_iterable():
+    # test the labelcolor for labelcolor='markerfacecolor' on PathCollection
+    # with iterable colors
+    fig, ax = plt.subplots()
+    colors = np.array(['r', 'g', 'b', 'c', 'm'] * 2)
+    ax.scatter(np.arange(10), np.arange(10), label='#1', facecolor=colors)
+
+    leg = ax.legend(labelcolor='markerfacecolor')
+    for text, color in zip(leg.get_texts(), ['k']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_pathcollection_labelcolor_markfacecolor_cmap():
+    # test the labelcolor for labelcolor='markerfacecolor' on PathCollection
+    # with colormaps
+    fig, ax = plt.subplots()
+    colors = mpl.colormaps["viridis"](np.random.rand(10))
+    ax.scatter(
+        np.arange(10),
+        np.arange(10),
+        label='#1',
+        c=colors
+    )
+
+    leg = ax.legend(labelcolor='markerfacecolor')
+    for text, color in zip(leg.get_texts(), ['k']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+@pytest.mark.parametrize('color', ('red', 'none', (.5, .5, .5)))
+def test_legend_labelcolor_rcparam_single(color):
+    # test the rcParams legend.labelcolor for a single color
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3')
+
+    mpl.rcParams['legend.labelcolor'] = color
+    leg = ax.legend()
+    for text in leg.get_texts():
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_rcparam_linecolor():
+    # test the rcParams legend.labelcolor for a linecolor
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', color='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', color='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', color='b')
+
+    mpl.rcParams['legend.labelcolor'] = 'linecolor'
+    leg = ax.legend()
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_rcparam_markeredgecolor():
+    # test the labelcolor for labelcolor='markeredgecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markeredgecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markeredgecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markeredgecolor='b')
+
+    mpl.rcParams['legend.labelcolor'] = 'markeredgecolor'
+    leg = ax.legend()
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_rcparam_markeredgecolor_short():
+    # test the labelcolor for labelcolor='markeredgecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markeredgecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markeredgecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markeredgecolor='b')
+
+    mpl.rcParams['legend.labelcolor'] = 'mec'
+    leg = ax.legend()
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_rcparam_markerfacecolor():
+    # test the labelcolor for labelcolor='markeredgecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markerfacecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markerfacecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markerfacecolor='b')
+
+    mpl.rcParams['legend.labelcolor'] = 'markerfacecolor'
+    leg = ax.legend()
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+def test_legend_labelcolor_rcparam_markerfacecolor_short():
+    # test the labelcolor for labelcolor='markeredgecolor'
+    fig, ax = plt.subplots()
+    ax.plot(np.arange(10), np.arange(10)*1, label='#1', markerfacecolor='r')
+    ax.plot(np.arange(10), np.arange(10)*2, label='#2', markerfacecolor='g')
+    ax.plot(np.arange(10), np.arange(10)*3, label='#3', markerfacecolor='b')
+
+    mpl.rcParams['legend.labelcolor'] = 'mfc'
+    leg = ax.legend()
+    for text, color in zip(leg.get_texts(), ['r', 'g', 'b']):
+        assert mpl.colors.same_color(text.get_color(), color)
+
+
+@pytest.mark.filterwarnings("ignore:No artists with labels found to put in legend")
+def test_get_set_draggable():
+    legend = plt.legend()
+    assert not legend.get_draggable()
+    legend.set_draggable(True)
+    assert legend.get_draggable()
+    legend.set_draggable(False)
+    assert not legend.get_draggable()
+
+
+@pytest.mark.parametrize('draggable', (True, False))
+def test_legend_draggable(draggable):
+    fig, ax = plt.subplots()
+    ax.plot(range(10), label='shabnams')
+    leg = ax.legend(draggable=draggable)
+    assert leg.get_draggable() is draggable
+
+
+def test_alpha_handles():
+    x, n, hh = plt.hist([1, 2, 3], alpha=0.25, label='data', color='red')
+    legend = plt.legend()
+    for lh in legend.legend_handles:
+        lh.set_alpha(1.0)
+    assert lh.get_facecolor()[:-1] == hh[1].get_facecolor()[:-1]
+    assert lh.get_edgecolor()[:-1] == hh[1].get_edgecolor()[:-1]
+
+
+@needs_usetex
+def test_usetex_no_warn(caplog):
+    mpl.rcParams['font.family'] = 'serif'
+    mpl.rcParams['font.serif'] = 'Computer Modern'
+    mpl.rcParams['text.usetex'] = True
+
+    fig, ax = plt.subplots()
+    ax.plot(0, 0, label='input')
+    ax.legend(title="My legend")
+
+    fig.canvas.draw()
+    assert "Font family ['serif'] not found." not in caplog.text
+
+
+def test_warn_big_data_best_loc(monkeypatch):
+    # Force _find_best_position to think it took a long time.
+    counter = itertools.count(0, step=1.5)
+    monkeypatch.setattr(time, 'perf_counter', lambda: next(counter))
+
+    fig, ax = plt.subplots()
+    fig.canvas.draw()  # So that we can call draw_artist later.
+
+    # Place line across all possible legend locations.
+    x = [0.9, 0.1, 0.1, 0.9, 0.9, 0.5]
+    y = [0.95, 0.95, 0.05, 0.05, 0.5, 0.5]
+    ax.plot(x, y, 'o-', label='line')
+
+    with rc_context({'legend.loc': 'best'}):
+        legend = ax.legend()
+    with pytest.warns(UserWarning,
+                      match='Creating legend with loc="best" can be slow with large '
+                      'amounts of data.') as records:
+        fig.draw_artist(legend)  # Don't bother drawing the lines -- it's slow.
+    # The _find_best_position method of Legend is called twice, duplicating
+    # the warning message.
+    assert len(records) == 2
+
+
+def test_no_warn_big_data_when_loc_specified(monkeypatch):
+    # Force _find_best_position to think it took a long time.
+    counter = itertools.count(0, step=1.5)
+    monkeypatch.setattr(time, 'perf_counter', lambda: next(counter))
+
+    fig, ax = plt.subplots()
+    fig.canvas.draw()
+
+    # Place line across all possible legend locations.
+    x = [0.9, 0.1, 0.1, 0.9, 0.9, 0.5]
+    y = [0.95, 0.95, 0.05, 0.05, 0.5, 0.5]
+    ax.plot(x, y, 'o-', label='line')
+
+    legend = ax.legend('best')
+    fig.draw_artist(legend)  # Check that no warning is emitted.
+
+
+@pytest.mark.parametrize('label_array', [['low', 'high'],
+                                         ('low', 'high'),
+                                         np.array(['low', 'high'])])
+def test_plot_multiple_input_multiple_label(label_array):
+    # test ax.plot() with multidimensional input
+    # and multiple labels
+    x = [1, 2, 3]
+    y = [[1, 2],
+         [2, 5],
+         [4, 9]]
+
+    fig, ax = plt.subplots()
+    ax.plot(x, y, label=label_array)
+    leg = ax.legend()
+    legend_texts = [entry.get_text() for entry in leg.get_texts()]
+    assert legend_texts == ['low', 'high']
+
+
+@pytest.mark.parametrize('label', ['one', 1, int])
+def test_plot_multiple_input_single_label(label):
+    # test ax.plot() with multidimensional input
+    # and single label
+    x = [1, 2, 3]
+    y = [[1, 2],
+         [2, 5],
+         [4, 9]]
+
+    fig, ax = plt.subplots()
+    ax.plot(x, y, label=label)
+    leg = ax.legend()
+    legend_texts = [entry.get_text() for entry in leg.get_texts()]
+    assert legend_texts == [str(label)] * 2
+
+
+def test_plot_single_input_multiple_label():
+    # test ax.plot() with 1D array like input
+    # and iterable label
+    x = [1, 2, 3]
+    y = [2, 5, 6]
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError,
+                       match='label must be scalar or have the same length'):
+        ax.plot(x, y, label=['low', 'high'])
+
+
+def test_plot_single_input_list_label():
+    fig, ax = plt.subplots()
+    line, = ax.plot([[0], [1]], label=['A'])
+    assert line.get_label() == 'A'
+
+
+def test_plot_multiple_label_incorrect_length_exception():
+    # check that exception is raised if multiple labels
+    # are given, but number of on labels != number of lines
+    with pytest.raises(ValueError):
+        x = [1, 2, 3]
+        y = [[1, 2],
+             [2, 5],
+             [4, 9]]
+        label = ['high', 'low', 'medium']
+        fig, ax = plt.subplots()
+        ax.plot(x, y, label=label)
+
+
+def test_legend_face_edgecolor():
+    # Smoke test for PolyCollection legend handler with 'face' edgecolor.
+    fig, ax = plt.subplots()
+    ax.fill_between([0, 1, 2], [1, 2, 3], [2, 3, 4],
+                    facecolor='r', edgecolor='face', label='Fill')
+    ax.legend()
+
+
+def test_legend_text_axes():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2], [3, 4], label='line')
+    leg = ax.legend()
+
+    assert leg.axes is ax
+    assert leg.get_texts()[0].axes is ax
+
+
+def test_handlerline2d():
+    # Test marker consistency for monolithic Line2D legend handler (#11357).
+    fig, ax = plt.subplots()
+    ax.scatter([0, 1], [0, 1], marker="v")
+    handles = [mlines.Line2D([0], [0], marker="v")]
+    leg = ax.legend(handles, ["Aardvark"], numpoints=1)
+    assert handles[0].get_marker() == leg.legend_handles[0].get_marker()
+
+
+def test_subfigure_legend():
+    # Test that legend can be added to subfigure (#20723)
+    subfig = plt.figure().subfigures()
+    ax = subfig.subplots()
+    ax.plot([0, 1], [0, 1], label="line")
+    leg = subfig.legend()
+    assert leg.get_figure(root=False) is subfig
+
+
+def test_setting_alpha_keeps_polycollection_color():
+    pc = plt.fill_between([0, 1], [2, 3], color='#123456', label='label')
+    patch = plt.legend().get_patches()[0]
+    patch.set_alpha(0.5)
+    assert patch.get_facecolor()[:3] == tuple(pc.get_facecolor()[0][:3])
+    assert patch.get_edgecolor()[:3] == tuple(pc.get_edgecolor()[0][:3])
+
+
+def test_legend_markers_from_line2d():
+    # Test that markers can be copied for legend lines (#17960)
+    _markers = ['.', '*', 'v']
+    fig, ax = plt.subplots()
+    lines = [mlines.Line2D([0], [0], ls='None', marker=mark)
+             for mark in _markers]
+    labels = ["foo", "bar", "xyzzy"]
+    markers = [line.get_marker() for line in lines]
+    legend = ax.legend(lines, labels)
+
+    new_markers = [line.get_marker() for line in legend.get_lines()]
+    new_labels = [text.get_text() for text in legend.get_texts()]
+
+    assert markers == new_markers == _markers
+    assert labels == new_labels
+
+
+@check_figures_equal()
+def test_ncol_ncols(fig_test, fig_ref):
+    # Test that both ncol and ncols work
+    strings = ["a", "b", "c", "d", "e", "f"]
+    ncols = 3
+    fig_test.legend(strings, ncol=ncols)
+    fig_ref.legend(strings, ncols=ncols)
+
+
+def test_loc_invalid_tuple_exception():
+    # check that exception is raised if the loc arg
+    # of legend is not a 2-tuple of numbers
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not \\(1.1,\\)')):
+        ax.legend(loc=(1.1, ), labels=["mock data"])
+
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not \\(0.481, 0.4227, 0.4523\\)')):
+        ax.legend(loc=(0.481, 0.4227, 0.4523), labels=["mock data"])
+
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not \\(0.481, \'go blue\'\\)')):
+        ax.legend(loc=(0.481, "go blue"), labels=["mock data"])
+
+
+def test_loc_valid_tuple():
+    fig, ax = plt.subplots()
+    ax.legend(loc=(0.481, 0.442), labels=["mock data"])
+    ax.legend(loc=(1, 2), labels=["mock data"])
+
+
+def test_loc_valid_list():
+    fig, ax = plt.subplots()
+    ax.legend(loc=[0.481, 0.442], labels=["mock data"])
+    ax.legend(loc=[1, 2], labels=["mock data"])
+
+
+def test_loc_invalid_list_exception():
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not \\[1.1, 2.2, 3.3\\]')):
+        ax.legend(loc=[1.1, 2.2, 3.3], labels=["mock data"])
+
+
+def test_loc_invalid_type():
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError, match=("loc must be string, coordinate "
+                       "tuple, or an integer 0-10, not {'not': True}")):
+        ax.legend(loc={'not': True}, labels=["mock data"])
+
+
+def test_loc_validation_numeric_value():
+    fig, ax = plt.subplots()
+    ax.legend(loc=0, labels=["mock data"])
+    ax.legend(loc=1, labels=["mock data"])
+    ax.legend(loc=5, labels=["mock data"])
+    ax.legend(loc=10, labels=["mock data"])
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not 11')):
+        ax.legend(loc=11, labels=["mock data"])
+
+    with pytest.raises(ValueError, match=('loc must be string, coordinate '
+                       'tuple, or an integer 0-10, not -1')):
+        ax.legend(loc=-1, labels=["mock data"])
+
+
+def test_loc_validation_string_value():
+    fig, ax = plt.subplots()
+    labels = ["mock data"]
+    ax.legend(loc='best', labels=labels)
+    ax.legend(loc='upper right', labels=labels)
+    ax.legend(loc='best', labels=labels)
+    ax.legend(loc='upper right', labels=labels)
+    ax.legend(loc='upper left', labels=labels)
+    ax.legend(loc='lower left', labels=labels)
+    ax.legend(loc='lower right', labels=labels)
+    ax.legend(loc='right', labels=labels)
+    ax.legend(loc='center left', labels=labels)
+    ax.legend(loc='center right', labels=labels)
+    ax.legend(loc='lower center', labels=labels)
+    ax.legend(loc='upper center', labels=labels)
+    with pytest.raises(ValueError, match="'wrong' is not a valid value for"):
+        ax.legend(loc='wrong', labels=labels)
+
+
+def test_legend_handle_label_mismatch():
+    pl1, = plt.plot(range(10))
+    pl2, = plt.plot(range(10))
+    with pytest.warns(UserWarning, match="number of handles and labels"):
+        legend = plt.legend(handles=[pl1, pl2], labels=["pl1", "pl2", "pl3"])
+        assert len(legend.legend_handles) == 2
+        assert len(legend.get_texts()) == 2
+
+
+def test_legend_handle_label_mismatch_no_len():
+    pl1, = plt.plot(range(10))
+    pl2, = plt.plot(range(10))
+    legend = plt.legend(handles=iter([pl1, pl2]),
+                        labels=iter(["pl1", "pl2", "pl3"]))
+    assert len(legend.legend_handles) == 2
+    assert len(legend.get_texts()) == 2
+
+
+def test_legend_nolabels_warning():
+    plt.plot([1, 2, 3])
+    with pytest.raises(UserWarning, match="No artists with labels found"):
+        plt.legend()
+
+
+@pytest.mark.filterwarnings("ignore:No artists with labels found to put in legend")
+def test_legend_nolabels_draw():
+    plt.plot([1, 2, 3])
+    plt.legend()
+    assert plt.gca().get_legend() is not None
+
+
+def test_legend_loc_polycollection():
+    # Test that the legend is placed in the correct
+    # position for 'best' for polycollection
+    x = [3, 4, 5]
+    y1 = [1, 1, 1]
+    y2 = [5, 5, 5]
+    leg_bboxes = []
+    fig, axs = plt.subplots(ncols=2, figsize=(10, 5))
+    for ax, loc in zip(axs.flat, ('best', 'lower left')):
+        ax.fill_between(x, y1, y2, color='gray', alpha=0.5, label='Shaded Area')
+        ax.set_xlim(0, 6)
+        ax.set_ylim(-1, 5)
+        leg = ax.legend(loc=loc)
+        fig.canvas.draw()
+        leg_bboxes.append(
+            leg.get_window_extent().transformed(ax.transAxes.inverted()))
+    assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)
+
+
+def test_legend_text():
+    # Test that legend is place in the correct
+    # position for 'best' when there is text in figure
+    fig, axs = plt.subplots(ncols=2, figsize=(10, 5))
+    leg_bboxes = []
+    for ax, loc in zip(axs.flat, ('best', 'lower left')):
+        x = [1, 2]
+        y = [2, 1]
+        ax.plot(x, y, label='plot name')
+        ax.text(1.5, 2, 'some text blahblah', verticalalignment='top')
+        leg = ax.legend(loc=loc)
+        fig.canvas.draw()
+        leg_bboxes.append(
+            leg.get_window_extent().transformed(ax.transAxes.inverted()))
+    assert_allclose(leg_bboxes[1].bounds, leg_bboxes[0].bounds)
+
+
+def test_legend_annotate():
+    fig, ax = plt.subplots()
+
+    ax.plot([1, 2, 3], label="Line")
+    ax.annotate("a", xy=(1, 1))
     ax.legend(loc=0)
 
+    with mock.patch.object(
+            fig, '_get_renderer', wraps=fig._get_renderer) as mocked_get_renderer:
+        fig.savefig(io.BytesIO())
+
+    # Finding the legend position should not require _get_renderer to be called
+    mocked_get_renderer.assert_not_called()
+
+
+def test_boxplot_legend_labels():
+    # Test that legend entries are generated when passing `label`.
+    np.random.seed(19680801)
+    data = np.random.random((10, 4))
+    fig, axs = plt.subplots(nrows=1, ncols=4)
+    legend_labels = ['box A', 'box B', 'box C', 'box D']
+
+    # Testing legend labels and patch passed to legend.
+    bp1 = axs[0].boxplot(data, patch_artist=True, label=legend_labels)
+    assert [v.get_label() for v in bp1['boxes']] == legend_labels
+    handles, labels = axs[0].get_legend_handles_labels()
+    assert labels == legend_labels
+    assert all(isinstance(h, mpl.patches.PathPatch) for h in handles)
+
+    # Testing legend without `box`.
+    bp2 = axs[1].boxplot(data, label=legend_labels, showbox=False)
+    # Without a box, The legend entries should be passed from the medians.
+    assert [v.get_label() for v in bp2['medians']] == legend_labels
+    handles, labels = axs[1].get_legend_handles_labels()
+    assert labels == legend_labels
+    assert all(isinstance(h, mpl.lines.Line2D) for h in handles)
+
+    # Testing legend with number of labels different from number of boxes.
+    with pytest.raises(ValueError, match='values must have same the length'):
+        bp3 = axs[2].boxplot(data, label=legend_labels[:-1])
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    # Test that for a string label, only the first box gets a label.
+    bp4 = axs[3].boxplot(data, label='box A')
+    assert bp4['medians'][0].get_label() == 'box A'
+    assert all(x.get_label().startswith("_") for x in bp4['medians'][1:])
diff --git a/lib/matplotlib/tests/test_lines.py b/lib/matplotlib/tests/test_lines.py
index 55aa360af737..68ee1ff8a9a6 100644
--- a/lib/matplotlib/tests/test_lines.py
+++ b/lib/matplotlib/tests/test_lines.py
@@ -1,23 +1,42 @@
 """
 Tests specific to the lines module.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+import itertools
+import platform
+import timeit
+from types import SimpleNamespace
 
-from nose.tools import assert_true
-from timeit import repeat
+from cycler import cycler
 import numpy as np
+from numpy.testing import assert_array_equal
+import pytest
+
+import matplotlib
 import matplotlib as mpl
+from matplotlib import _path
+import matplotlib.lines as mlines
+from matplotlib.markers import MarkerStyle
+from matplotlib.path import Path
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import cleanup, image_comparison
+import matplotlib.transforms as mtransforms
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+
+
+def test_segment_hits():
+    """Test a problematic case."""
+    cx, cy = 553, 902
+    x, y = np.array([553., 553.]), np.array([95., 947.])
+    radius = 6.94
+    assert_array_equal(mlines.segment_hits(cx, cy, x, y, radius), [0])
 
 
-@cleanup
+# Runtimes on a loaded system are inherently flaky. Not so much that a rerun
+# won't help, hopefully.
+@pytest.mark.flaky(reruns=3)
 def test_invisible_Line_rendering():
     """
-    Github issue #1256 identified a bug in Line.draw method
+    GitHub issue #1256 identified a bug in Line.draw method
 
     Despite visibility attribute set to False, the draw method was not
     returning early enough and some pre-rendering code was executed
@@ -28,21 +47,21 @@ def test_invisible_Line_rendering():
     """
     # Creates big x and y data:
     N = 10**7
-    x = np.linspace(0,1,N)
+    x = np.linspace(0, 1, N)
     y = np.random.normal(size=N)
 
     # Create a plot figure:
     fig = plt.figure()
-    ax = plt.subplot(111)
+    ax = plt.subplot()
 
     # Create a "big" Line instance:
-    l = mpl.lines.Line2D(x,y)
+    l = mlines.Line2D(x, y)
     l.set_visible(False)
     # but don't add it to the Axis instance `ax`
 
     # [here Interactive panning and zooming is pretty responsive]
     # Time the canvas drawing:
-    t_no_line = min(repeat(fig.canvas.draw, number=1, repeat=3))
+    t_no_line = min(timeit.repeat(fig.canvas.draw, number=1, repeat=3))
     # (gives about 25 ms)
 
     # Add the big invisible Line:
@@ -50,56 +69,384 @@ def test_invisible_Line_rendering():
 
     # [Now interactive panning and zooming is very slow]
     # Time the canvas drawing:
-    t_unvisible_line = min(repeat(fig.canvas.draw, number=1, repeat=3))
+    t_invisible_line = min(timeit.repeat(fig.canvas.draw, number=1, repeat=3))
     # gives about 290 ms for N = 10**7 pts
 
-    slowdown_factor = (t_unvisible_line/t_no_line)
-    slowdown_threshold = 2 # trying to avoid false positive failures
-    assert_true(slowdown_factor < slowdown_threshold)
+    slowdown_factor = t_invisible_line / t_no_line
+    slowdown_threshold = 2  # trying to avoid false positive failures
+    assert slowdown_factor < slowdown_threshold
 
 
-@cleanup
 def test_set_line_coll_dash():
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
-
+    fig, ax = plt.subplots()
     np.random.seed(0)
     # Testing setting linestyles for line collections.
     # This should not produce an error.
-    cs = ax.contour(np.random.randn(20, 30), linestyles=[(0, (3, 3))])
+    ax.contour(np.random.randn(20, 30), linestyles=[(0, (3, 3))])
+
 
-    assert True
+def test_invalid_line_data():
+    with pytest.raises(RuntimeError, match='xdata must be'):
+        mlines.Line2D(0, [])
+    with pytest.raises(RuntimeError, match='ydata must be'):
+        mlines.Line2D([], 1)
+
+    line = mlines.Line2D([], [])
+    with pytest.raises(RuntimeError, match='x must be'):
+        line.set_xdata(0)
+    with pytest.raises(RuntimeError, match='y must be'):
+        line.set_ydata(0)
+
+
+@image_comparison(['line_dashes'], remove_text=True, tol=0.003)
+def test_line_dashes():
+    # Tolerance introduced after reordering of floating-point operations
+    # Remove when regenerating the images
+    fig, ax = plt.subplots()
+
+    ax.plot(range(10), linestyle=(0, (3, 3)), lw=5)
 
 
-@cleanup
 def test_line_colors():
-    fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig, ax = plt.subplots()
     ax.plot(range(10), color='none')
     ax.plot(range(10), color='r')
     ax.plot(range(10), color='.3')
     ax.plot(range(10), color=(1, 0, 0, 1))
     ax.plot(range(10), color=(1, 0, 0))
     fig.canvas.draw()
-    assert True
 
 
-@image_comparison(baseline_images=['line_collection_dashes'], remove_text=True)
+def test_valid_colors():
+    line = mlines.Line2D([], [])
+    with pytest.raises(ValueError):
+        line.set_color("foobar")
+
+
+def test_linestyle_variants():
+    fig, ax = plt.subplots()
+    for ls in ["-", "solid", "--", "dashed",
+               "-.", "dashdot", ":", "dotted",
+               (0, None), (0, ()), (0, []),  # gh-22930
+               ]:
+        ax.plot(range(10), linestyle=ls)
+    fig.canvas.draw()
+
+
+def test_valid_linestyles():
+    line = mlines.Line2D([], [])
+    with pytest.raises(ValueError):
+        line.set_linestyle('aardvark')
+
+
+@image_comparison(['drawstyle_variants.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.03)
+def test_drawstyle_variants():
+    fig, axs = plt.subplots(6)
+    dss = ["default", "steps-mid", "steps-pre", "steps-post", "steps", None]
+    # We want to check that drawstyles are properly handled even for very long
+    # lines (for which the subslice optimization is on); however, we need
+    # to zoom in so that the difference between the drawstyles is actually
+    # visible.
+    for ax, ds in zip(axs.flat, dss):
+        ax.plot(range(2000), drawstyle=ds)
+        ax.set(xlim=(0, 2), ylim=(0, 2))
+
+
+@check_figures_equal()
+def test_no_subslice_with_transform(fig_ref, fig_test):
+    ax = fig_ref.add_subplot()
+    x = np.arange(2000)
+    ax.plot(x + 2000, x)
+
+    ax = fig_test.add_subplot()
+    t = mtransforms.Affine2D().translate(2000.0, 0.0)
+    ax.plot(x, x, transform=t+ax.transData)
+
+
+def test_valid_drawstyles():
+    line = mlines.Line2D([], [])
+    with pytest.raises(ValueError):
+        line.set_drawstyle('foobar')
+
+
+def test_set_drawstyle():
+    x = np.linspace(0, 2*np.pi, 10)
+    y = np.sin(x)
+
+    fig, ax = plt.subplots()
+    line, = ax.plot(x, y)
+    line.set_drawstyle("steps-pre")
+    assert len(line.get_path().vertices) == 2*len(x)-1
+
+    line.set_drawstyle("default")
+    assert len(line.get_path().vertices) == len(x)
+
+
+@image_comparison(['line_collection_dashes'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.65)
 def test_set_line_coll_dash_image():
+    fig, ax = plt.subplots()
+    np.random.seed(0)
+    ax.contour(np.random.randn(20, 30), linestyles=[(0, (3, 3))])
+
+
+@image_comparison(['marker_fill_styles.png'], remove_text=True)
+def test_marker_fill_styles():
+    colors = itertools.cycle([[0, 0, 1], 'g', '#ff0000', 'c', 'm', 'y',
+                              np.array([0, 0, 0])])
+    altcolor = 'lightgreen'
+
+    y = np.array([1, 1])
+    x = np.array([0, 9])
+    fig, ax = plt.subplots()
+
+    # This hard-coded list of markers correspond to an earlier iteration of
+    # MarkerStyle.filled_markers; the value of that attribute has changed but
+    # we kept the old value here to not regenerate the baseline image.
+    # Replace with mlines.Line2D.filled_markers when the image is regenerated.
+    for j, marker in enumerate("ov^<>8sp*hHDdPX"):
+        for i, fs in enumerate(mlines.Line2D.fillStyles):
+            color = next(colors)
+            ax.plot(j * 10 + x, y + i + .5 * (j % 2),
+                    marker=marker,
+                    markersize=20,
+                    markerfacecoloralt=altcolor,
+                    fillstyle=fs,
+                    label=fs,
+                    linewidth=5,
+                    color=color,
+                    markeredgecolor=color,
+                    markeredgewidth=2)
+
+    ax.set_ylim([0, 7.5])
+    ax.set_xlim([-5, 155])
+
+
+def test_markerfacecolor_fillstyle():
+    """Test that markerfacecolor does not override fillstyle='none'."""
+    l, = plt.plot([1, 3, 2], marker=MarkerStyle('o', fillstyle='none'),
+                  markerfacecolor='red')
+    assert l.get_fillstyle() == 'none'
+    assert l.get_markerfacecolor() == 'none'
+
+
+@image_comparison(['scaled_lines'], style='default')
+def test_lw_scaling():
+    th = np.linspace(0, 32)
+    fig, ax = plt.subplots()
+    lins_styles = ['dashed', 'dotted', 'dashdot']
+    cy = cycler(matplotlib.rcParams['axes.prop_cycle'])
+    for j, (ls, sty) in enumerate(zip(lins_styles, cy)):
+        for lw in np.linspace(.5, 10, 10):
+            ax.plot(th, j*np.ones(50) + .1 * lw, linestyle=ls, lw=lw, **sty)
+
+
+def test_is_sorted_and_has_non_nan():
+    assert _path.is_sorted_and_has_non_nan(np.array([1, 2, 3]))
+    assert _path.is_sorted_and_has_non_nan(np.array([1, np.nan, 3]))
+    assert not _path.is_sorted_and_has_non_nan([3, 5] + [np.nan] * 100 + [0, 2])
+    # [2, 256] byteswapped:
+    assert not _path.is_sorted_and_has_non_nan(np.array([33554432, 65536], ">i4"))
+    n = 2 * mlines.Line2D._subslice_optim_min_size
+    plt.plot([np.nan] * n, range(n))
+
+
+@check_figures_equal()
+def test_step_markers(fig_test, fig_ref):
+    fig_test.subplots().step([0, 1], "-o")
+    fig_ref.subplots().plot([0, 0, 1], [0, 1, 1], "-o", markevery=[0, 2])
+
+
+@pytest.mark.parametrize("parent", ["figure", "axes"])
+@check_figures_equal()
+def test_markevery(fig_test, fig_ref, parent):
+    np.random.seed(42)
+    x = np.linspace(0, 1, 14)
+    y = np.random.rand(len(x))
+
+    cases_test = [None, 4, (2, 5), [1, 5, 11],
+                  [0, -1], slice(5, 10, 2),
+                  np.arange(len(x))[y > 0.5],
+                  0.3, (0.3, 0.4)]
+    cases_ref = ["11111111111111", "10001000100010", "00100001000010",
+                 "01000100000100", "10000000000001", "00000101010000",
+                 "01110001110110", "11011011011110", "01010011011101"]
+
+    if parent == "figure":
+        # float markevery ("relative to axes size") is not supported.
+        cases_test = cases_test[:-2]
+        cases_ref = cases_ref[:-2]
+
+        def add_test(x, y, *, markevery):
+            fig_test.add_artist(
+                mlines.Line2D(x, y, marker="o", markevery=markevery))
+
+        def add_ref(x, y, *, markevery):
+            fig_ref.add_artist(
+                mlines.Line2D(x, y, marker="o", markevery=markevery))
+
+    elif parent == "axes":
+        axs_test = iter(fig_test.subplots(3, 3).flat)
+        axs_ref = iter(fig_ref.subplots(3, 3).flat)
+
+        def add_test(x, y, *, markevery):
+            next(axs_test).plot(x, y, "-gD", markevery=markevery)
+
+        def add_ref(x, y, *, markevery):
+            next(axs_ref).plot(x, y, "-gD", markevery=markevery)
+
+    for case in cases_test:
+        add_test(x, y, markevery=case)
+
+    for case in cases_ref:
+        me = np.array(list(case)).astype(int).astype(bool)
+        add_ref(x, y, markevery=me)
+
+
+def test_markevery_figure_line_unsupported_relsize():
     fig = plt.figure()
-    ax = fig.add_subplot(1, 1, 1)
+    fig.add_artist(mlines.Line2D([0, 1], [0, 1], marker="o", markevery=.5))
+    with pytest.raises(ValueError):
+        fig.canvas.draw()
 
-    np.random.seed(0)
-    cs = ax.contour(np.random.randn(20, 30), linestyles=[(0, (3, 3))])
 
+def test_marker_as_markerstyle():
+    fig, ax = plt.subplots()
+    line, = ax.plot([2, 4, 3], marker=MarkerStyle("D"))
+    fig.canvas.draw()
+    assert line.get_marker() == "D"
+
+    # continue with smoke tests:
+    line.set_marker("s")
+    fig.canvas.draw()
+    line.set_marker(MarkerStyle("o"))
+    fig.canvas.draw()
+    # test Path roundtrip
+    triangle1 = Path._create_closed([[-1, -1], [1, -1], [0, 2]])
+    line2, = ax.plot([1, 3, 2], marker=MarkerStyle(triangle1), ms=22)
+    line3, = ax.plot([0, 2, 1], marker=triangle1, ms=22)
+
+    assert_array_equal(line2.get_marker().vertices, triangle1.vertices)
+    assert_array_equal(line3.get_marker().vertices, triangle1.vertices)
+
+
+@image_comparison(['striped_line.png'], remove_text=True, style='mpl20')
+def test_striped_lines(text_placeholders):
+    rng = np.random.default_rng(19680801)
+    _, ax = plt.subplots()
+    ax.plot(rng.uniform(size=12), color='orange', gapcolor='blue',
+            linestyle='--', lw=5, label='blue in orange')
+    ax.plot(rng.uniform(size=12), color='red', gapcolor='black',
+            linestyle=(0, (2, 5, 4, 2)), lw=5, label='black in red', alpha=0.5)
+    ax.legend(handlelength=5)
+
+
+@check_figures_equal()
+def test_odd_dashes(fig_test, fig_ref):
+    fig_test.add_subplot().plot([1, 2], dashes=[1, 2, 3])
+    fig_ref.add_subplot().plot([1, 2], dashes=[1, 2, 3, 1, 2, 3])
+
+
+def test_picking():
+    fig, ax = plt.subplots()
+    mouse_event = SimpleNamespace(x=fig.bbox.width // 2,
+                                  y=fig.bbox.height // 2 + 15)
+
+    # Default pickradius is 5, so event should not pick this line.
+    l0, = ax.plot([0, 1], [0, 1], picker=True)
+    found, indices = l0.contains(mouse_event)
+    assert not found
+
+    # But with a larger pickradius, this should be picked.
+    l1, = ax.plot([0, 1], [0, 1], picker=True, pickradius=20)
+    found, indices = l1.contains(mouse_event)
+    assert found
+    assert_array_equal(indices['ind'], [0])
+
+    # And if we modify the pickradius after creation, it should work as well.
+    l2, = ax.plot([0, 1], [0, 1], picker=True)
+    found, indices = l2.contains(mouse_event)
+    assert not found
+    l2.set_pickradius(20)
+    found, indices = l2.contains(mouse_event)
+    assert found
+    assert_array_equal(indices['ind'], [0])
+
+
+@check_figures_equal()
+def test_input_copy(fig_test, fig_ref):
+
+    t = np.arange(0, 6, 2)
+    l, = fig_test.add_subplot().plot(t, t, ".-")
+    t[:] = range(3)
+    # Trigger cache invalidation
+    l.set_drawstyle("steps")
+    fig_ref.add_subplot().plot([0, 2, 4], [0, 2, 4], ".-", drawstyle="steps")
+
+
+@check_figures_equal()
+def test_markevery_prop_cycle(fig_test, fig_ref):
+    """Test that we can set markevery prop_cycle."""
+    cases = [None, 8, (30, 8), [16, 24, 30], [0, -1],
+             slice(100, 200, 3), 0.1, 0.3, 1.5,
+             (0.0, 0.1), (0.45, 0.1)]
+
+    cmap = mpl.colormaps['jet']
+    colors = cmap(np.linspace(0.2, 0.8, len(cases)))
+
+    x = np.linspace(-1, 1)
+    y = 5 * x**2
+
+    axs = fig_ref.add_subplot()
+    for i, markevery in enumerate(cases):
+        axs.plot(y - i, 'o-', markevery=markevery, color=colors[i])
+
+    matplotlib.rcParams['axes.prop_cycle'] = cycler(markevery=cases,
+                                                    color=colors)
+
+    ax = fig_test.add_subplot()
+    for i, _ in enumerate(cases):
+        ax.plot(y - i, 'o-')
+
+
+def test_axline_setters():
+    fig, ax = plt.subplots()
+    line1 = ax.axline((.1, .1), slope=0.6)
+    line2 = ax.axline((.1, .1), (.8, .4))
+    # Testing xy1, xy2 and slope setters.
+    # This should not produce an error.
+    line1.set_xy1((.2, .3))
+    line1.set_slope(2.4)
+    line2.set_xy1((.3, .2))
+    line2.set_xy2((.6, .8))
+    # Testing xy1, xy2 and slope getters.
+    # Should return the modified values.
+    assert line1.get_xy1() == (.2, .3)
+    assert line1.get_slope() == 2.4
+    assert line2.get_xy1() == (.3, .2)
+    assert line2.get_xy2() == (.6, .8)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        line1.set_xy1(.2, .3)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        line2.set_xy2(.6, .8)
+    # Testing setting xy2 and slope together.
+    # These test should raise a ValueError
+    with pytest.raises(ValueError,
+                       match="Cannot set an 'xy2' value while 'slope' is set"):
+        line1.set_xy2(.2, .3)
 
-def test_nan_is_sorted():
-    # Exercises issue from PR #2744 (NaN throwing warning in _is_sorted)
-    line = mpl.lines.Line2D([],[])
-    assert_true(line._is_sorted(np.array([1,2,3])))
-    assert_true(not line._is_sorted(np.array([1,np.nan,3])))
+    with pytest.raises(ValueError,
+                       match="Cannot set a 'slope' value while 'xy2' is set"):
+        line2.set_slope(3)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_axline_small_slope():
+    """Test that small slopes are not coerced to zero in the transform."""
+    line = plt.axline((0, 0), slope=1e-14)
+    p1 = line.get_transform().transform_point((0, 0))
+    p2 = line.get_transform().transform_point((1, 1))
+    # y-values must be slightly different
+    dy = p2[1] - p1[1]
+    assert dy > 0
+    assert dy < 4e-12
diff --git a/lib/matplotlib/tests/test_marker.py b/lib/matplotlib/tests/test_marker.py
new file mode 100644
index 000000000000..f6e20c148897
--- /dev/null
+++ b/lib/matplotlib/tests/test_marker.py
@@ -0,0 +1,303 @@
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import markers
+from matplotlib.path import Path
+from matplotlib.testing.decorators import check_figures_equal
+from matplotlib.transforms import Affine2D
+
+import pytest
+
+
+def test_marker_fillstyle():
+    marker_style = markers.MarkerStyle(marker='o', fillstyle='none')
+    assert marker_style.get_fillstyle() == 'none'
+    assert not marker_style.is_filled()
+
+
+@pytest.mark.parametrize('marker', [
+    'o',
+    'x',
+    '',
+    'None',
+    r'$\frac{1}{2}$',
+    "$\u266B$",
+    1,
+    markers.TICKLEFT,
+    [[-1, 0], [1, 0]],
+    np.array([[-1, 0], [1, 0]]),
+    Path([[0, 0], [1, 0]], [Path.MOVETO, Path.LINETO]),
+    (5, 0),  # a pentagon
+    (7, 1),  # a 7-pointed star
+    (5, 2),  # asterisk
+    (5, 0, 10),  # a pentagon, rotated by 10 degrees
+    (7, 1, 10),  # a 7-pointed star, rotated by 10 degrees
+    (5, 2, 10),  # asterisk, rotated by 10 degrees
+    markers.MarkerStyle('o'),
+])
+def test_markers_valid(marker):
+    # Checking this doesn't fail.
+    markers.MarkerStyle(marker)
+
+
+@pytest.mark.parametrize('marker', [
+    'square',  # arbitrary string
+    np.array([[-0.5, 0, 1, 2, 3]]),  # 1D array
+    (1,),
+    (5, 3),  # second parameter of tuple must be 0, 1, or 2
+    (1, 2, 3, 4),
+])
+def test_markers_invalid(marker):
+    with pytest.raises(ValueError):
+        markers.MarkerStyle(marker)
+
+
+class UnsnappedMarkerStyle(markers.MarkerStyle):
+    """
+    A MarkerStyle where the snap threshold is force-disabled.
+
+    This is used to compare to polygon/star/asterisk markers which do not have
+    any snap threshold set.
+    """
+    def _recache(self):
+        super()._recache()
+        self._snap_threshold = None
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_poly_marker(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    # Note, some reference sizes must be different because they have unit
+    # *length*, while polygon markers are inscribed in a circle of unit
+    # *radius*. This introduces a factor of np.sqrt(2), but since size is
+    # squared, that becomes 2.
+    size = 20**2
+
+    # Squares
+    ax_test.scatter([0], [0], marker=(4, 0, 45), s=size)
+    ax_ref.scatter([0], [0], marker='s', s=size/2)
+
+    # Diamonds, with and without rotation argument
+    ax_test.scatter([1], [1], marker=(4, 0), s=size)
+    ax_ref.scatter([1], [1], marker=UnsnappedMarkerStyle('D'), s=size/2)
+    ax_test.scatter([1], [1.5], marker=(4, 0, 0), s=size)
+    ax_ref.scatter([1], [1.5], marker=UnsnappedMarkerStyle('D'), s=size/2)
+
+    # Pentagon, with and without rotation argument
+    ax_test.scatter([2], [2], marker=(5, 0), s=size)
+    ax_ref.scatter([2], [2], marker=UnsnappedMarkerStyle('p'), s=size)
+    ax_test.scatter([2], [2.5], marker=(5, 0, 0), s=size)
+    ax_ref.scatter([2], [2.5], marker=UnsnappedMarkerStyle('p'), s=size)
+
+    # Hexagon, with and without rotation argument
+    ax_test.scatter([3], [3], marker=(6, 0), s=size)
+    ax_ref.scatter([3], [3], marker='h', s=size)
+    ax_test.scatter([3], [3.5], marker=(6, 0, 0), s=size)
+    ax_ref.scatter([3], [3.5], marker='h', s=size)
+
+    # Rotated hexagon
+    ax_test.scatter([4], [4], marker=(6, 0, 30), s=size)
+    ax_ref.scatter([4], [4], marker='H', s=size)
+
+    # Octagons
+    ax_test.scatter([5], [5], marker=(8, 0, 22.5), s=size)
+    ax_ref.scatter([5], [5], marker=UnsnappedMarkerStyle('8'), s=size)
+
+    ax_test.set(xlim=(-0.5, 5.5), ylim=(-0.5, 5.5))
+    ax_ref.set(xlim=(-0.5, 5.5), ylim=(-0.5, 5.5))
+
+
+def test_star_marker():
+    # We don't really have a strict equivalent to this marker, so we'll just do
+    # a smoke test.
+    size = 20**2
+
+    fig, ax = plt.subplots()
+    ax.scatter([0], [0], marker=(5, 1), s=size)
+    ax.scatter([1], [1], marker=(5, 1, 0), s=size)
+    ax.set(xlim=(-0.5, 0.5), ylim=(-0.5, 1.5))
+
+
+# The asterisk marker is really a star with 0-size inner circle, so the ends
+# are corners and get a slight bevel. The reference markers are just singular
+# lines without corners, so they have no bevel, and we need to add a slight
+# tolerance.
+@check_figures_equal(extensions=['png', 'pdf', 'svg'], tol=1.45)
+def test_asterisk_marker(fig_test, fig_ref, request):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    # Note, some reference sizes must be different because they have unit
+    # *length*, while asterisk markers are inscribed in a circle of unit
+    # *radius*. This introduces a factor of np.sqrt(2), but since size is
+    # squared, that becomes 2.
+    size = 20**2
+
+    def draw_ref_marker(y, style, size):
+        # As noted above, every line is doubled. Due to antialiasing, these
+        # doubled lines make a slight difference in the .png results.
+        ax_ref.scatter([y], [y], marker=UnsnappedMarkerStyle(style), s=size)
+        if request.getfixturevalue('ext') == 'png':
+            ax_ref.scatter([y], [y], marker=UnsnappedMarkerStyle(style),
+                           s=size)
+
+    # Plus
+    ax_test.scatter([0], [0], marker=(4, 2), s=size)
+    draw_ref_marker(0, '+', size)
+    ax_test.scatter([0.5], [0.5], marker=(4, 2, 0), s=size)
+    draw_ref_marker(0.5, '+', size)
+
+    # Cross
+    ax_test.scatter([1], [1], marker=(4, 2, 45), s=size)
+    draw_ref_marker(1, 'x', size/2)
+
+    ax_test.set(xlim=(-0.5, 1.5), ylim=(-0.5, 1.5))
+    ax_ref.set(xlim=(-0.5, 1.5), ylim=(-0.5, 1.5))
+
+
+# The bullet mathtext marker is not quite a circle, so this is not a perfect match, but
+# it is close enough to confirm that the text-based marker is centred correctly. But we
+# still need a small tolerance to work around that difference.
+@check_figures_equal(tol=1.86)
+def test_text_marker(fig_ref, fig_test):
+    ax_ref = fig_ref.add_subplot()
+    ax_test = fig_test.add_subplot()
+
+    ax_ref.plot(0, 0, marker=r'o', markersize=100, markeredgewidth=0)
+    ax_test.plot(0, 0, marker=r'$\bullet$', markersize=100, markeredgewidth=0)
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_marker_clipping(fig_ref, fig_test):
+    # Plotting multiple markers can trigger different optimized paths in
+    # backends, so compare single markers vs multiple to ensure they are
+    # clipped correctly.
+    marker_count = len(markers.MarkerStyle.markers)
+    marker_size = 50
+    ncol = 7
+    nrow = marker_count // ncol + 1
+
+    width = 2 * marker_size * ncol
+    height = 2 * marker_size * nrow * 2
+    fig_ref.set_size_inches((width / fig_ref.dpi, height / fig_ref.dpi))
+    ax_ref = fig_ref.add_axes([0, 0, 1, 1])
+    fig_test.set_size_inches((width / fig_test.dpi, height / fig_ref.dpi))
+    ax_test = fig_test.add_axes([0, 0, 1, 1])
+
+    for i, marker in enumerate(markers.MarkerStyle.markers):
+        x = i % ncol
+        y = i // ncol * 2
+
+        # Singular markers per call.
+        ax_ref.plot([x, x], [y, y + 1], c='k', linestyle='-', lw=3)
+        ax_ref.plot(x, y, c='k',
+                    marker=marker, markersize=marker_size, markeredgewidth=10,
+                    fillstyle='full', markerfacecolor='white')
+        ax_ref.plot(x, y + 1, c='k',
+                    marker=marker, markersize=marker_size, markeredgewidth=10,
+                    fillstyle='full', markerfacecolor='white')
+
+        # Multiple markers in a single call.
+        ax_test.plot([x, x], [y, y + 1], c='k', linestyle='-', lw=3,
+                     marker=marker, markersize=marker_size, markeredgewidth=10,
+                     fillstyle='full', markerfacecolor='white')
+
+    ax_ref.set(xlim=(-0.5, ncol), ylim=(-0.5, 2 * nrow))
+    ax_test.set(xlim=(-0.5, ncol), ylim=(-0.5, 2 * nrow))
+    ax_ref.axis('off')
+    ax_test.axis('off')
+
+
+def test_marker_init_transforms():
+    """Test that initializing marker with transform is a simple addition."""
+    marker = markers.MarkerStyle("o")
+    t = Affine2D().translate(1, 1)
+    t_marker = markers.MarkerStyle("o", transform=t)
+    assert marker.get_transform() + t == t_marker.get_transform()
+
+
+def test_marker_init_joinstyle():
+    marker = markers.MarkerStyle("*")
+    styled_marker = markers.MarkerStyle("*", joinstyle="round")
+    assert styled_marker.get_joinstyle() == "round"
+    assert marker.get_joinstyle() != "round"
+
+
+def test_marker_init_captyle():
+    marker = markers.MarkerStyle("*")
+    styled_marker = markers.MarkerStyle("*", capstyle="round")
+    assert styled_marker.get_capstyle() == "round"
+    assert marker.get_capstyle() != "round"
+
+
+@pytest.mark.parametrize("marker,transform,expected", [
+    (markers.MarkerStyle("o"), Affine2D().translate(1, 1),
+        Affine2D().translate(1, 1)),
+    (markers.MarkerStyle("o", transform=Affine2D().translate(1, 1)),
+        Affine2D().translate(1, 1), Affine2D().translate(2, 2)),
+    (markers.MarkerStyle("$|||$", transform=Affine2D().translate(1, 1)),
+     Affine2D().translate(1, 1), Affine2D().translate(2, 2)),
+    (markers.MarkerStyle(
+        markers.TICKLEFT, transform=Affine2D().translate(1, 1)),
+        Affine2D().translate(1, 1), Affine2D().translate(2, 2)),
+])
+def test_marker_transformed(marker, transform, expected):
+    new_marker = marker.transformed(transform)
+    assert new_marker is not marker
+    assert new_marker.get_user_transform() == expected
+    assert marker._user_transform is not new_marker._user_transform
+
+
+def test_marker_rotated_invalid():
+    marker = markers.MarkerStyle("o")
+    with pytest.raises(ValueError):
+        new_marker = marker.rotated()
+    with pytest.raises(ValueError):
+        new_marker = marker.rotated(deg=10, rad=10)
+
+
+@pytest.mark.parametrize("marker,deg,rad,expected", [
+    (markers.MarkerStyle("o"), 10, None, Affine2D().rotate_deg(10)),
+    (markers.MarkerStyle("o"), None, 0.01, Affine2D().rotate(0.01)),
+    (markers.MarkerStyle("o", transform=Affine2D().translate(1, 1)),
+        10, None, Affine2D().translate(1, 1).rotate_deg(10)),
+    (markers.MarkerStyle("o", transform=Affine2D().translate(1, 1)),
+        None, 0.01, Affine2D().translate(1, 1).rotate(0.01)),
+    (markers.MarkerStyle("$|||$", transform=Affine2D().translate(1, 1)),
+      10, None, Affine2D().translate(1, 1).rotate_deg(10)),
+    (markers.MarkerStyle(
+        markers.TICKLEFT, transform=Affine2D().translate(1, 1)),
+        10, None, Affine2D().translate(1, 1).rotate_deg(10)),
+])
+def test_marker_rotated(marker, deg, rad, expected):
+    new_marker = marker.rotated(deg=deg, rad=rad)
+    assert new_marker is not marker
+    assert new_marker.get_user_transform() == expected
+    assert marker._user_transform is not new_marker._user_transform
+
+
+def test_marker_scaled():
+    marker = markers.MarkerStyle("1")
+    new_marker = marker.scaled(2)
+    assert new_marker is not marker
+    assert new_marker.get_user_transform() == Affine2D().scale(2)
+    assert marker._user_transform is not new_marker._user_transform
+
+    new_marker = marker.scaled(2, 3)
+    assert new_marker is not marker
+    assert new_marker.get_user_transform() == Affine2D().scale(2, 3)
+    assert marker._user_transform is not new_marker._user_transform
+
+    marker = markers.MarkerStyle("1", transform=Affine2D().translate(1, 1))
+    new_marker = marker.scaled(2)
+    assert new_marker is not marker
+    expected = Affine2D().translate(1, 1).scale(2)
+    assert new_marker.get_user_transform() == expected
+    assert marker._user_transform is not new_marker._user_transform
+
+
+def test_alt_transform():
+    m1 = markers.MarkerStyle("o", "left")
+    m2 = markers.MarkerStyle("o", "left", Affine2D().rotate_deg(90))
+    assert m1.get_alt_transform().rotate_deg(90) == m2.get_alt_transform()
diff --git a/lib/matplotlib/tests/test_mathtext.py b/lib/matplotlib/tests/test_mathtext.py
index da3135c61786..39c28dc9228c 100644
--- a/lib/matplotlib/tests/test_mathtext.py
+++ b/lib/matplotlib/tests/test_mathtext.py
@@ -1,17 +1,32 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from __future__ import annotations
 
-import six
+import io
+from pathlib import Path
+import platform
+import re
+import textwrap
+from typing import Any
+from xml.etree import ElementTree as ET
 
 import numpy as np
-import matplotlib
-from matplotlib.testing.decorators import image_comparison, knownfailureif
+from packaging.version import parse as parse_version
+import pyparsing
+import pytest
+
+
+import matplotlib as mpl
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
 import matplotlib.pyplot as plt
-from matplotlib import mathtext
+from matplotlib import font_manager as fm, mathtext, _mathtext
+from matplotlib.ft2font import LoadFlags
+
+pyparsing_version = parse_version(pyparsing.__version__)
+
 
+# If test is removed, use None as placeholder
 math_tests = [
-    r'$a+b+\dots+\dot{s}+\ldots$',
-    r'$x \doteq y$',
+    r'$a+b+\dot s+\dot{s}+\ldots$',
+    r'$x\hspace{-0.2}\doteq\hspace{-0.2}y$',
     r'\$100.00 $\alpha \_$',
     r'$\frac{\$100.00}{y}$',
     r'$x   y$',
@@ -28,11 +43,13 @@
     r'$x^2$',
     r'$x^2_y$',
     r'$x_y^2$',
-    r'$\prod_{i=\alpha_{i+1}}^\infty$',
+    (r'$\sum _{\genfrac{}{}{0}{}{0\leq i\leq m}{0<j<n}}f\left(i,j\right)'
+     r'\mathcal{R}\prod_{i=\alpha_{i+1}}^\infty a_i \sin(2 \pi f x_i)'
+     r"\sqrt[2]{\prod^\frac{x}{2\pi^2}_\infty}$"),
     r'$x = \frac{x+\frac{5}{2}}{\frac{y+3}{8}}$',
     r'$dz/dt = \gamma x^2 + {\rm sin}(2\pi y+\phi)$',
     r'Foo: $\alpha_{i+1}^j = {\rm sin}(2\pi f_j t_i) e^{-5 t_i/\tau}$',
-    r'$\mathcal{R}\prod_{i=\alpha_{i+1}}^\infty a_i \sin(2 \pi f x_i)$',
+    None,
     r'Variable $i$ is good',
     r'$\Delta_i^j$',
     r'$\Delta^j_{i+1}$',
@@ -40,11 +57,11 @@
     r"$\arccos((x^i))$",
     r"$\gamma = \frac{x=\frac{6}{8}}{y} \delta$",
     r'$\limsup_{x\to\infty}$',
-    r'$\oint^\infty_0$',
-    r"$f'$",
+    None,
+    r"$f'\quad f'''(x)\quad ''/\mathrm{yr}$",
     r'$\frac{x_2888}{y}$',
     r"$\sqrt[3]{\frac{X_2}{Y}}=5$",
-    r"$\sqrt[5]{\prod^\frac{x}{2\pi^2}_\infty}$",
+    None,
     r"$\sqrt[3]{x}=5$",
     r'$\frac{X}{\frac{X}{Y}}$',
     r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} \int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$",
@@ -53,8 +70,8 @@
     '$\\Gamma \\Delta \\Theta \\Lambda \\Xi \\Pi \\Sigma \\Upsilon \\Phi \\Psi \\Omega$',
     '$\\alpha \\beta \\gamma \\delta \\epsilon \\zeta \\eta \\theta \\iota \\lambda \\mu \\nu \\xi \\pi \\kappa \\rho \\sigma \\tau \\upsilon \\phi \\chi \\psi$',
 
-    # The examples prefixed by 'mmltt' are from the MathML torture test here:
-        # http://www.mozilla.org/projects/mathml/demo/texvsmml.xhtml
+    # The following examples are from the MathML torture test here:
+    # https://www-archive.mozilla.org/projects/mathml/demo/texvsmml.xhtml
     r'${x}^{2}{y}^{2}$',
     r'${}_{2}F_{3}$',
     r'$\frac{x+{y}^{2}}{k+1}$',
@@ -74,23 +91,60 @@
     # mathtex doesn't support array
     # 'mmltt18'    : r'$f\left(x\right)=\left\{\begin{array}{cc}\hfill 1/3\hfill & \text{if_}0\le x\le 1;\hfill \\ \hfill 2/3\hfill & \hfill \text{if_}3\le x\le 4;\hfill \\ \hfill 0\hfill & \text{elsewhere.}\hfill \end{array}$',
     # mathtex doesn't support stackrel
-    # 'mmltt19'    : ur'$\stackrel{\stackrel{k\text{times}}{\ufe37}}{x+...+x}$',
+    # 'mmltt19'    : r'$\stackrel{\stackrel{k\text{times}}{\ufe37}}{x+...+x}$',
     r'${y}_{{x}^{2}}$',
     # mathtex doesn't support the "\text" command
     # 'mmltt21'    : r'$\sum _{p\text{\prime}}f\left(p\right)={\int }_{t>1}f\left(t\right) d\pi \left(t\right)$',
     # mathtex doesn't support array
     # 'mmltt23'    : r'$\left(\begin{array}{cc}\hfill \left(\begin{array}{cc}\hfill a\hfill & \hfill b\hfill \\ \hfill c\hfill & \hfill d\hfill \end{array}\right)\hfill & \hfill \left(\begin{array}{cc}\hfill e\hfill & \hfill f\hfill \\ \hfill g\hfill & \hfill h\hfill \end{array}\right)\hfill \\ \hfill 0\hfill & \hfill \left(\begin{array}{cc}\hfill i\hfill & \hfill j\hfill \\ \hfill k\hfill & \hfill l\hfill \end{array}\right)\hfill \end{array}\right)$',
     # mathtex doesn't support array
-    # 'mmltt24'   : u'$det|\\begin{array}{ccccc}\\hfill {c}_{0}\\hfill & \\hfill {c}_{1}\\hfill & \\hfill {c}_{2}\\hfill & \\hfill \\dots \\hfill & \\hfill {c}_{n}\\hfill \\\\ \\hfill {c}_{1}\\hfill & \\hfill {c}_{2}\\hfill & \\hfill {c}_{3}\\hfill & \\hfill \\dots \\hfill & \\hfill {c}_{n+1}\\hfill \\\\ \\hfill {c}_{2}\\hfill & \\hfill {c}_{3}\\hfill & \\hfill {c}_{4}\\hfill & \\hfill \\dots \\hfill & \\hfill {c}_{n+2}\\hfill \\\\ \\hfill \\u22ee\\hfill & \\hfill \\u22ee\\hfill & \\hfill \\u22ee\\hfill & \\hfill \\hfill & \\hfill \\u22ee\\hfill \\\\ \\hfill {c}_{n}\\hfill & \\hfill {c}_{n+1}\\hfill & \\hfill {c}_{n+2}\\hfill & \\hfill \\dots \\hfill & \\hfill {c}_{2n}\\hfill \\end{array}|>0$',
+    # 'mmltt24'   : r'$det|\begin{array}{ccccc}\hfill {c}_{0}\hfill & \hfill {c}_{1}\hfill & \hfill {c}_{2}\hfill & \hfill \dots \hfill & \hfill {c}_{n}\hfill \\ \hfill {c}_{1}\hfill & \hfill {c}_{2}\hfill & \hfill {c}_{3}\hfill & \hfill \dots \hfill & \hfill {c}_{n+1}\hfill \\ \hfill {c}_{2}\hfill & \hfill {c}_{3}\hfill & \hfill {c}_{4}\hfill & \hfill \dots \hfill & \hfill {c}_{n+2}\hfill \\ \hfill \u22ee\hfill & \hfill \u22ee\hfill & \hfill \u22ee\hfill & \hfill \hfill & \hfill \u22ee\hfill \\ \hfill {c}_{n}\hfill & \hfill {c}_{n+1}\hfill & \hfill {c}_{n+2}\hfill & \hfill \dots \hfill & \hfill {c}_{2n}\hfill \end{array}|>0$',
     r'${y}_{{x}_{2}}$',
     r'${x}_{92}^{31415}+\pi $',
     r'${x}_{{y}_{b}^{a}}^{{z}_{c}^{d}}$',
     r'${y}_{3}^{\prime \prime \prime }$',
-    r"$\left( \xi \left( 1 - \xi \right) \right)$", # Bug 2969451
-    r"$\left(2 \, a=b\right)$", # Sage bug #8125
-    r"$? ! &$", # github issue #466
-    r'$\operatorname{cos} x$', # github issue #553
-    r'$\sum _{\genfrac{}{}{0}{}{0\leq i\leq m}{0<j<n}}P\left(i,j\right)$'
+    # End of the MathML torture tests.
+
+    r"$\left( \xi \left( 1 - \xi \right) \right)$",  # Bug 2969451
+    r"$\left(2 \, a=b\right)$",  # Sage bug #8125
+    r"$? ! &$",  # github issue #466
+    None,
+    None,
+    r"$\left\Vert \frac{a}{b} \right\Vert \left\vert \frac{a}{b} \right\vert \left\| \frac{a}{b}\right\| \left| \frac{a}{b} \right| \Vert a \Vert \vert b \vert \| a \| | b |$",
+    r'$\mathring{A}  \AA$',
+    r'$M \, M \thinspace M \/ M \> M \: M \; M \ M \enspace M \quad M \qquad M \! M$',
+    r'$\Cap$ $\Cup$ $\leftharpoonup$ $\barwedge$ $\rightharpoonup$',
+    r'$\hspace{-0.2}\dotplus\hspace{-0.2}$ $\hspace{-0.2}\doteq\hspace{-0.2}$ $\hspace{-0.2}\doteqdot\hspace{-0.2}$ $\ddots$',
+    r'$xyz^kx_kx^py^{p-2} d_i^jb_jc_kd x^j_i E^0 E^0_u$',  # github issue #4873
+    r'${xyz}^k{x}_{k}{x}^{p}{y}^{p-2} {d}_{i}^{j}{b}_{j}{c}_{k}{d} {x}^{j}_{i}{E}^{0}{E}^0_u$',
+    r'${\int}_x^x x\oint_x^x x\int_{X}^{X}x\int_x x \int^x x \int_{x} x\int^{x}{\int}_{x} x{\int}^{x}_{x}x$',
+    r'testing$^{123}$',
+    None,
+    r'$6-2$; $-2$; $ -2$; ${-2}$; ${  -2}$; $20^{+3}_{-2}$',
+    r'$\overline{\omega}^x \frac{1}{2}_0^x$',  # github issue #5444
+    r'$,$ $.$ $1{,}234{, }567{ , }890$ and $1,234,567,890$',  # github issue 5799
+    r'$\left(X\right)_{a}^{b}$',  # github issue 7615
+    r'$\dfrac{\$100.00}{y}$',  # github issue #1888
+    r'$a=-b-c$'  # github issue #28180
+]
+# 'svgastext' tests switch svg output to embed text as text (rather than as
+# paths).
+svgastext_math_tests = [
+    r'$-$-',
+]
+# 'lightweight' tests test only a single fontset (dejavusans, which is the
+# default) and only png outputs, in order to minimize the size of baseline
+# images.
+lightweight_math_tests = [
+    r'$\sqrt[ab]{123}$',  # github issue #8665
+    r'$x \overset{f}{\rightarrow} \overset{f}{x} \underset{xx}{ff} \overset{xx}{ff} \underset{f}{x} \underset{f}{\leftarrow} x$',  # github issue #18241
+    r'$\sum x\quad\sum^nx\quad\sum_nx\quad\sum_n^nx\quad\prod x\quad\prod^nx\quad\prod_nx\quad\prod_n^nx$',  # GitHub issue 18085
+    r'$1.$ $2.$ $19680801.$ $a.$ $b.$ $mpl.$',
+    r'$\text{text}_{\text{sub}}^{\text{sup}} + \text{\$foo\$} + \frac{\text{num}}{\mathbf{\text{den}}}\text{with space, curly brackets \{\}, and dash -}$',
+    r'$\boldsymbol{abcde} \boldsymbol{+} \boldsymbol{\Gamma + \Omega} \boldsymbol{01234} \boldsymbol{\alpha * \beta}$',
+    r'$\left\lbrace\frac{\left\lbrack A^b_c\right\rbrace}{\left\leftbrace D^e_f \right\rbrack}\right\rightbrace\ \left\leftparen\max_{x} \left\lgroup \frac{A}{B}\right\rgroup \right\rightparen$',
+    r'$\left( a\middle. b \right)$ $\left( \frac{a}{b} \middle\vert x_i \in P^S \right)$ $\left[ 1 - \middle| a\middle| + \left( x  - \left\lfloor \dfrac{a}{b}\right\rfloor \right)  \right]$',
+    r'$\sum_{\substack{k = 1\\ k \neq \lfloor n/2\rfloor}}^{n}P(i,j) \sum_{\substack{i \neq 0\\ -1 \leq i \leq 3\\ 1 \leq j \leq 5}} F^i(x,y) \sum_{\substack{\left \lfloor \frac{n}{2} \right\rfloor}} F(n)$',
 ]
 
 digits = "0123456789"
@@ -103,15 +157,19 @@
               "\\phi \\chi \\psi")
 all = [digits, uppercase, lowercase, uppergreek, lowergreek]
 
-font_test_specs = [
+# Use stubs to reserve space if tests are removed
+# stub should be of the form (None, N) where N is the number of strings that
+# used to be tested
+# Add new tests at the end.
+font_test_specs: list[tuple[None | list[str], Any]] = [
     ([], all),
     (['mathrm'], all),
     (['mathbf'], all),
     (['mathit'], all),
     (['mathtt'], [digits, uppercase, lowercase]),
-    (['mathcircled'], [digits, uppercase, lowercase]),
-    (['mathrm', 'mathcircled'], [digits, uppercase, lowercase]),
-    (['mathbf', 'mathcircled'], [digits, uppercase, lowercase]),
+    (None, 3),
+    (None, 3),
+    (None, 3),
     (['mathbb'], [digits, uppercase, lowercase,
                   r'\Gamma \Pi \Sigma \gamma \pi']),
     (['mathrm', 'mathbb'], [digits, uppercase, lowercase,
@@ -124,93 +182,419 @@
     (['mathscr'], [uppercase, lowercase]),
     (['mathsf'], [digits, uppercase, lowercase]),
     (['mathrm', 'mathsf'], [digits, uppercase, lowercase]),
-    (['mathbf', 'mathsf'], [digits, uppercase, lowercase])
+    (['mathbf', 'mathsf'], [digits, uppercase, lowercase]),
+    (['mathbfit'], all),
     ]
 
-font_tests = []
+font_tests: list[None | str] = []
 for fonts, chars in font_test_specs:
-    wrapper = [' '.join(fonts), ' $']
-    for font in fonts:
-        wrapper.append(r'\%s{' % font)
-    wrapper.append('%s')
-    for font in fonts:
-        wrapper.append('}')
-    wrapper.append('$')
-    wrapper = ''.join(wrapper)
-
-    for set in chars:
-        font_tests.append(wrapper % set)
-
-def make_set(basename, fontset, tests, extensions=None):
-    def make_test(filename, test):
-        @image_comparison(baseline_images=[filename], extensions=extensions,
-                          tol=32)
-        def single_test():
-            matplotlib.rcParams['mathtext.fontset'] = fontset
-            fig = plt.figure(figsize=(5.25, 0.75))
-            fig.text(0.5, 0.5, test, horizontalalignment='center', verticalalignment='center')
-        func = single_test
-        func.__name__ = str("test_" + filename)
-        return func
-
-    # We inject test functions into the global namespace, rather than
-    # using a generator, so that individual tests can be run more
-    # easily from the commandline and so each test will have its own
-    # result.
-    for i, test in enumerate(tests):
-        filename = '%s_%s_%02d' % (basename, fontset, i)
-        globals()['test_%s' % filename] = make_test(filename, test)
-
-make_set('mathtext', 'cm', math_tests)
-make_set('mathtext', 'stix', math_tests)
-make_set('mathtext', 'stixsans', math_tests)
-
-make_set('mathfont', 'cm', font_tests, ['png'])
-make_set('mathfont', 'stix', font_tests, ['png'])
-make_set('mathfont', 'stixsans', font_tests, ['png'])
+    if fonts is None:
+        font_tests.extend([None] * chars)
+    else:
+        wrapper = ''.join([
+            ' '.join(fonts),
+            ' $',
+            *(r'\%s{' % font for font in fonts),
+            '%s',
+            *('}' for font in fonts),
+            '$',
+        ])
+        for font_set in chars:
+            font_tests.append(wrapper % font_set)
+
+
+@pytest.fixture
+def baseline_images(request, fontset, index, text):
+    if text is None:
+        pytest.skip("test has been removed")
+    return ['%s_%s_%02d' % (request.param, fontset, index)]
+
+
+@pytest.mark.parametrize(
+    'index, text', enumerate(math_tests), ids=range(len(math_tests)))
+@pytest.mark.parametrize(
+    'fontset', ['cm', 'stix', 'stixsans', 'dejavusans', 'dejavuserif'])
+@pytest.mark.parametrize('baseline_images', ['mathtext'], indirect=True)
+@image_comparison(baseline_images=None,
+                  tol=0.011 if platform.machine() in ('ppc64le', 's390x') else 0)
+def test_mathtext_rendering(baseline_images, fontset, index, text):
+    mpl.rcParams['mathtext.fontset'] = fontset
+    fig = plt.figure(figsize=(5.25, 0.75))
+    fig.text(0.5, 0.5, text,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize('index, text', enumerate(svgastext_math_tests),
+                         ids=range(len(svgastext_math_tests)))
+@pytest.mark.parametrize('fontset', ['cm', 'dejavusans'])
+@pytest.mark.parametrize('baseline_images', ['mathtext0'], indirect=True)
+@image_comparison(
+    baseline_images=None, extensions=['svg'],
+    savefig_kwarg={'metadata': {  # Minimize image size.
+        'Creator': None, 'Date': None, 'Format': None, 'Type': None}})
+def test_mathtext_rendering_svgastext(baseline_images, fontset, index, text):
+    mpl.rcParams['mathtext.fontset'] = fontset
+    mpl.rcParams['svg.fonttype'] = 'none'  # Minimize image size.
+    fig = plt.figure(figsize=(5.25, 0.75))
+    fig.patch.set(visible=False)  # Minimize image size.
+    fig.text(0.5, 0.5, text,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize('index, text', enumerate(lightweight_math_tests),
+                         ids=range(len(lightweight_math_tests)))
+@pytest.mark.parametrize('fontset', ['dejavusans'])
+@pytest.mark.parametrize('baseline_images', ['mathtext1'], indirect=True)
+@image_comparison(baseline_images=None, extensions=['png'])
+def test_mathtext_rendering_lightweight(baseline_images, fontset, index, text):
+    fig = plt.figure(figsize=(5.25, 0.75))
+    fig.text(0.5, 0.5, text, math_fontfamily=fontset,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize(
+    'index, text', enumerate(font_tests), ids=range(len(font_tests)))
+@pytest.mark.parametrize(
+    'fontset', ['cm', 'stix', 'stixsans', 'dejavusans', 'dejavuserif'])
+@pytest.mark.parametrize('baseline_images', ['mathfont'], indirect=True)
+@image_comparison(baseline_images=None, extensions=['png'],
+                  tol=0.011 if platform.machine() in ('ppc64le', 's390x') else 0)
+def test_mathfont_rendering(baseline_images, fontset, index, text):
+    mpl.rcParams['mathtext.fontset'] = fontset
+    fig = plt.figure(figsize=(5.25, 0.75))
+    fig.text(0.5, 0.5, text,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@check_figures_equal()
+def test_short_long_accents(fig_test, fig_ref):
+    acc_map = _mathtext.Parser._accent_map
+    short_accs = [s for s in acc_map if len(s) == 1]
+    corresponding_long_accs = []
+    for s in short_accs:
+        l, = (l for l in acc_map if len(l) > 1 and acc_map[l] == acc_map[s])
+        corresponding_long_accs.append(l)
+    fig_test.text(0, .5, "$" + "".join(rf"\{s}a" for s in short_accs) + "$")
+    fig_ref.text(
+        0, .5, "$" + "".join(fr"\{l} a" for l in corresponding_long_accs) + "$")
+
 
 def test_fontinfo():
-    import matplotlib.font_manager as font_manager
-    import matplotlib.ft2font as ft2font
-    fontpath = font_manager.findfont("Bitstream Vera Sans")
-    font = ft2font.FT2Font(fontpath)
+    fontpath = mpl.font_manager.findfont("DejaVu Sans")
+    font = mpl.ft2font.FT2Font(fontpath)
     table = font.get_sfnt_table("head")
+    assert table is not None
     assert table['version'] == (1, 0)
 
-def test_mathtext_exceptions():
-    errors = [
-        (r'$\hspace{}$', r'Expected \hspace{n}'),
-        (r'$\hspace{foo}$', r'Expected \hspace{n}'),
+
+# See gh-26152 for more context on this xfail
+@pytest.mark.xfail(pyparsing_version.release == (3, 1, 0),
+                   reason="Error messages are incorrect for this version")
+@pytest.mark.parametrize(
+    'math, msg',
+    [
+        (r'$\hspace{}$', r'Expected \hspace{space}'),
+        (r'$\hspace{foo}$', r'Expected \hspace{space}'),
+        (r'$\sinx$', r'Unknown symbol: \sinx'),
+        (r'$\dotx$', r'Unknown symbol: \dotx'),
         (r'$\frac$', r'Expected \frac{num}{den}'),
         (r'$\frac{}{}$', r'Expected \frac{num}{den}'),
-        (r'$\stackrel$', r'Expected \stackrel{num}{den}'),
-        (r'$\stackrel{}{}$', r'Expected \stackrel{num}{den}'),
         (r'$\binom$', r'Expected \binom{num}{den}'),
         (r'$\binom{}{}$', r'Expected \binom{num}{den}'),
-        (r'$\genfrac$', r'Expected \genfrac{ldelim}{rdelim}{rulesize}{style}{num}{den}'),
-        (r'$\genfrac{}{}{}{}{}{}$', r'Expected \genfrac{ldelim}{rdelim}{rulesize}{style}{num}{den}'),
+        (r'$\genfrac$',
+         r'Expected \genfrac{ldelim}{rdelim}{rulesize}{style}{num}{den}'),
+        (r'$\genfrac{}{}{}{}{}{}$',
+         r'Expected \genfrac{ldelim}{rdelim}{rulesize}{style}{num}{den}'),
         (r'$\sqrt$', r'Expected \sqrt{value}'),
         (r'$\sqrt f$', r'Expected \sqrt{value}'),
-        (r'$\overline$', r'Expected \overline{value}'),
-        (r'$\overline{}$', r'Expected \overline{value}'),
+        (r'$\overline$', r'Expected \overline{body}'),
+        (r'$\overline{}$', r'Expected \overline{body}'),
         (r'$\leftF$', r'Expected a delimiter'),
         (r'$\rightF$', r'Unknown symbol: \rightF'),
         (r'$\left(\right$', r'Expected a delimiter'),
-        (r'$\left($', r'Expected "\right"')
-        ]
-
+        # PyParsing 2 uses double quotes, PyParsing 3 uses single quotes and an
+        # extra backslash.
+        (r'$\left($', re.compile(r'Expected ("|\'\\)\\right["\']')),
+        (r'$\dfrac$', r'Expected \dfrac{num}{den}'),
+        (r'$\dfrac{}{}$', r'Expected \dfrac{num}{den}'),
+        (r'$\overset$', r'Expected \overset{annotation}{body}'),
+        (r'$\underset$', r'Expected \underset{annotation}{body}'),
+        (r'$\foo$', r'Unknown symbol: \foo'),
+        (r'$a^2^2$', r'Double superscript'),
+        (r'$a_2_2$', r'Double subscript'),
+        (r'$a^2_a^2$', r'Double superscript'),
+        (r'$a = {b$', r"Expected '}'"),
+    ],
+    ids=[
+        'hspace without value',
+        'hspace with invalid value',
+        'function without space',
+        'accent without space',
+        'frac without parameters',
+        'frac with empty parameters',
+        'binom without parameters',
+        'binom with empty parameters',
+        'genfrac without parameters',
+        'genfrac with empty parameters',
+        'sqrt without parameters',
+        'sqrt with invalid value',
+        'overline without parameters',
+        'overline with empty parameter',
+        'left with invalid delimiter',
+        'right with invalid delimiter',
+        'unclosed parentheses with sizing',
+        'unclosed parentheses without sizing',
+        'dfrac without parameters',
+        'dfrac with empty parameters',
+        'overset without parameters',
+        'underset without parameters',
+        'unknown symbol',
+        'double superscript',
+        'double subscript',
+        'super on sub without braces',
+        'unclosed group',
+    ]
+)
+def test_mathtext_exceptions(math, msg):
     parser = mathtext.MathTextParser('agg')
+    match = re.escape(msg) if isinstance(msg, str) else msg
+    with pytest.raises(ValueError, match=match):
+        parser.parse(math)
+
+
+def test_get_unicode_index_exception():
+    with pytest.raises(ValueError):
+        _mathtext.get_unicode_index(r'\foo')
+
+
+def test_single_minus_sign():
+    fig = plt.figure()
+    fig.text(0.5, 0.5, '$-$')
+    fig.canvas.draw()
+    t = np.asarray(fig.canvas.renderer.buffer_rgba())
+    assert (t != 0xff).any()  # assert that canvas is not all white.
+
+
+@check_figures_equal()
+def test_spaces(fig_test, fig_ref):
+    fig_test.text(.5, .5, r"$1\,2\>3\ 4$")
+    fig_ref.text(.5, .5, r"$1\/2\:3~4$")
+
+
+@check_figures_equal()
+def test_operator_space(fig_test, fig_ref):
+    fig_test.text(0.1, 0.1, r"$\log 6$")
+    fig_test.text(0.1, 0.2, r"$\log(6)$")
+    fig_test.text(0.1, 0.3, r"$\arcsin 6$")
+    fig_test.text(0.1, 0.4, r"$\arcsin|6|$")
+    fig_test.text(0.1, 0.5, r"$\operatorname{op} 6$")  # GitHub issue #553
+    fig_test.text(0.1, 0.6, r"$\operatorname{op}[6]$")
+    fig_test.text(0.1, 0.7, r"$\cos^2$")
+    fig_test.text(0.1, 0.8, r"$\log_2$")
+    fig_test.text(0.1, 0.9, r"$\sin^2 \cos$")  # GitHub issue #17852
+
+    fig_ref.text(0.1, 0.1, r"$\mathrm{log\,}6$")
+    fig_ref.text(0.1, 0.2, r"$\mathrm{log}(6)$")
+    fig_ref.text(0.1, 0.3, r"$\mathrm{arcsin\,}6$")
+    fig_ref.text(0.1, 0.4, r"$\mathrm{arcsin}|6|$")
+    fig_ref.text(0.1, 0.5, r"$\mathrm{op\,}6$")
+    fig_ref.text(0.1, 0.6, r"$\mathrm{op}[6]$")
+    fig_ref.text(0.1, 0.7, r"$\mathrm{cos}^2$")
+    fig_ref.text(0.1, 0.8, r"$\mathrm{log}_2$")
+    fig_ref.text(0.1, 0.9, r"$\mathrm{sin}^2 \mathrm{\,cos}$")
+
+
+@check_figures_equal()
+def test_inverted_delimiters(fig_test, fig_ref):
+    fig_test.text(.5, .5, r"$\left)\right($", math_fontfamily="dejavusans")
+    fig_ref.text(.5, .5, r"$)($", math_fontfamily="dejavusans")
+
+
+@check_figures_equal()
+def test_genfrac_displaystyle(fig_test, fig_ref):
+    fig_test.text(0.1, 0.1, r"$\dfrac{2x}{3y}$")
+
+    thickness = _mathtext.TruetypeFonts.get_underline_thickness(
+        None, None, fontsize=mpl.rcParams["font.size"],
+        dpi=mpl.rcParams["savefig.dpi"])
+    fig_ref.text(0.1, 0.1, r"$\genfrac{}{}{%f}{0}{2x}{3y}$" % thickness)
+
+
+def test_mathtext_fallback_valid():
+    for fallback in ['cm', 'stix', 'stixsans', 'None']:
+        mpl.rcParams['mathtext.fallback'] = fallback
+
+
+def test_mathtext_fallback_invalid():
+    for fallback in ['abc', '']:
+        with pytest.raises(ValueError, match="not a valid fallback font name"):
+            mpl.rcParams['mathtext.fallback'] = fallback
+
+
+@pytest.mark.parametrize(
+    "fallback,fontlist",
+    [("cm", ['DejaVu Sans', 'mpltest', 'STIXGeneral', 'cmr10', 'STIXGeneral']),
+     ("stix", ['DejaVu Sans', 'mpltest', 'STIXGeneral', 'STIXGeneral', 'STIXGeneral'])])
+def test_mathtext_fallback(fallback, fontlist):
+    mpl.font_manager.fontManager.addfont(
+        (Path(__file__).resolve().parent / 'data/mpltest.ttf'))
+    mpl.rcParams["svg.fonttype"] = 'none'
+    mpl.rcParams['mathtext.fontset'] = 'custom'
+    mpl.rcParams['mathtext.rm'] = 'mpltest'
+    mpl.rcParams['mathtext.it'] = 'mpltest:italic'
+    mpl.rcParams['mathtext.bf'] = 'mpltest:bold'
+    mpl.rcParams['mathtext.bfit'] = 'mpltest:italic:bold'
+    mpl.rcParams['mathtext.fallback'] = fallback
+
+    test_str = r'a$A\AA\breve\gimel$'
+
+    buff = io.BytesIO()
+    fig, ax = plt.subplots()
+    fig.text(.5, .5, test_str, fontsize=40, ha='center')
+    fig.savefig(buff, format="svg")
+    tspans = (ET.fromstring(buff.getvalue())
+              .findall(".//{http://www.w3.org/2000/svg}tspan[@style]"))
+    char_fonts = [
+        re.search(r"font-family: '([\w ]+)'", tspan.attrib["style"]).group(1)
+        for tspan in tspans]
+    assert char_fonts == fontlist, f'Expected {fontlist}, got {char_fonts}'
+    mpl.font_manager.fontManager.ttflist.pop()
+
+
+def test_math_to_image(tmp_path):
+    mathtext.math_to_image('$x^2$', tmp_path / 'example.png')
+    mathtext.math_to_image('$x^2$', io.BytesIO())
+    mathtext.math_to_image('$x^2$', io.BytesIO(), color='Maroon')
+
+
+@image_comparison(baseline_images=['math_fontfamily_image.png'],
+                  savefig_kwarg={'dpi': 40})
+def test_math_fontfamily():
+    fig = plt.figure(figsize=(10, 3))
+    fig.text(0.2, 0.7, r"$This\ text\ should\ have\ one\ font$",
+             size=24, math_fontfamily='dejavusans')
+    fig.text(0.2, 0.3, r"$This\ text\ should\ have\ another$",
+             size=24, math_fontfamily='stix')
+
+
+def test_default_math_fontfamily():
+    mpl.rcParams['mathtext.fontset'] = 'cm'
+    test_str = r'abc$abc\alpha$'
+    fig, ax = plt.subplots()
+
+    text1 = fig.text(0.1, 0.1, test_str, font='Arial')
+    prop1 = text1.get_fontproperties()
+    assert prop1.get_math_fontfamily() == 'cm'
+    text2 = fig.text(0.2, 0.2, test_str, fontproperties='Arial')
+    prop2 = text2.get_fontproperties()
+    assert prop2.get_math_fontfamily() == 'cm'
+
+    fig.draw_without_rendering()
+
+
+def test_argument_order():
+    mpl.rcParams['mathtext.fontset'] = 'cm'
+    test_str = r'abc$abc\alpha$'
+    fig, ax = plt.subplots()
+
+    text1 = fig.text(0.1, 0.1, test_str,
+                     math_fontfamily='dejavusans', font='Arial')
+    prop1 = text1.get_fontproperties()
+    assert prop1.get_math_fontfamily() == 'dejavusans'
+    text2 = fig.text(0.2, 0.2, test_str,
+                     math_fontfamily='dejavusans', fontproperties='Arial')
+    prop2 = text2.get_fontproperties()
+    assert prop2.get_math_fontfamily() == 'dejavusans'
+    text3 = fig.text(0.3, 0.3, test_str,
+                     font='Arial', math_fontfamily='dejavusans')
+    prop3 = text3.get_fontproperties()
+    assert prop3.get_math_fontfamily() == 'dejavusans'
+    text4 = fig.text(0.4, 0.4, test_str,
+                     fontproperties='Arial', math_fontfamily='dejavusans')
+    prop4 = text4.get_fontproperties()
+    assert prop4.get_math_fontfamily() == 'dejavusans'
+
+    fig.draw_without_rendering()
+
+
+def test_mathtext_cmr10_minus_sign():
+    # cmr10 does not contain a minus sign and used to issue a warning
+    # RuntimeWarning: Glyph 8722 missing from current font.
+    mpl.rcParams['font.family'] = 'cmr10'
+    mpl.rcParams['axes.formatter.use_mathtext'] = True
+    fig, ax = plt.subplots()
+    ax.plot(range(-1, 1), range(-1, 1))
+    # draw to make sure we have no warnings
+    fig.canvas.draw()
+
+
+def test_mathtext_operators():
+    test_str = r'''
+    \increment \smallin \notsmallowns
+    \smallowns \QED \rightangle
+    \smallintclockwise \smallvarointclockwise
+    \smallointctrcclockwise
+    \ratio \minuscolon \dotsminusdots
+    \sinewave \simneqq \nlesssim
+    \ngtrsim \nlessgtr \ngtrless
+    \cupleftarrow \oequal \rightassert
+    \rightModels \hermitmatrix \barvee
+    \measuredrightangle \varlrtriangle
+    \equalparallel \npreccurlyeq \nsucccurlyeq
+    \nsqsubseteq \nsqsupseteq \sqsubsetneq
+    \sqsupsetneq  \disin \varisins
+    \isins \isindot \varisinobar
+    \isinobar \isinvb \isinE
+    \nisd \varnis \nis
+    \varniobar \niobar \bagmember
+    \triangle'''.split()
+
+    fig = plt.figure()
+    for x, i in enumerate(test_str):
+        fig.text(0.5, (x + 0.5)/len(test_str), r'${%s}$' % i)
+
+    fig.draw_without_rendering()
+
 
-    for math, msg in errors:
-        try:
-            parser.parse(math)
-        except ValueError as e:
-            exc = str(e).split('\n')
-            assert exc[3].startswith(msg)
-        else:
-            assert False, "Expected '%s', but didn't get it" % msg
+@check_figures_equal()
+def test_boldsymbol(fig_test, fig_ref):
+    fig_test.text(0.1, 0.2, r"$\boldsymbol{\mathrm{abc0123\alpha}}$")
+    fig_ref.text(0.1, 0.2, r"$\mathrm{abc0123\alpha}$")
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_box_repr():
+    s = repr(_mathtext.Parser().parse(
+        r"$\frac{1}{2}$",
+        _mathtext.DejaVuSansFonts(fm.FontProperties(), LoadFlags.NO_HINTING),
+        fontsize=12, dpi=100))
+    assert s == textwrap.dedent("""\
+        Hlist<w=9.49 h=16.08 d=6.64 s=0.00>[
+          Hlist<w=0.00 h=0.00 d=0.00 s=0.00>[],
+          Hlist<w=9.49 h=16.08 d=6.64 s=0.00>[
+            Hlist<w=9.49 h=16.08 d=6.64 s=0.00>[
+              Vlist<w=7.40 h=22.72 d=0.00 s=6.64>[
+                HCentered<w=7.40 h=8.67 d=0.00 s=0.00>[
+                  Glue,
+                  Hlist<w=7.40 h=8.67 d=0.00 s=0.00>[
+                    `1`,
+                    k2.36,
+                  ],
+                  Glue,
+                ],
+                Vbox,
+                Hrule,
+                Vbox,
+                HCentered<w=7.40 h=8.84 d=0.00 s=0.00>[
+                  Glue,
+                  Hlist<w=7.40 h=8.84 d=0.00 s=0.00>[
+                    `2`,
+                    k2.02,
+                  ],
+                  Glue,
+                ],
+              ],
+              Hbox,
+            ],
+          ],
+          Hlist<w=0.00 h=0.00 d=0.00 s=0.00>[],
+        ]""")
diff --git a/lib/matplotlib/tests/test_matplotlib.py b/lib/matplotlib/tests/test_matplotlib.py
new file mode 100644
index 000000000000..37b41fafdb78
--- /dev/null
+++ b/lib/matplotlib/tests/test_matplotlib.py
@@ -0,0 +1,82 @@
+import os
+import subprocess
+import sys
+
+import pytest
+
+import matplotlib
+from matplotlib.testing import subprocess_run_for_testing
+
+
+@pytest.mark.parametrize('version_str, version_tuple', [
+    ('3.5.0', (3, 5, 0, 'final', 0)),
+    ('3.5.0rc2', (3, 5, 0, 'candidate', 2)),
+    ('3.5.0.dev820+g6768ef8c4c', (3, 5, 0, 'alpha', 820)),
+    ('3.5.0.post820+g6768ef8c4c', (3, 5, 1, 'alpha', 820)),
+])
+def test_parse_to_version_info(version_str, version_tuple):
+    assert matplotlib._parse_to_version_info(version_str) == version_tuple
+
+
+@pytest.mark.skipif(sys.platform == "win32",
+                    reason="chmod() doesn't work as is on Windows")
+@pytest.mark.skipif(sys.platform != "win32" and os.geteuid() == 0,
+                    reason="chmod() doesn't work as root")
+def test_tmpconfigdir_warning(tmp_path):
+    """Test that a warning is emitted if a temporary configdir must be used."""
+    mode = os.stat(tmp_path).st_mode
+    try:
+        os.chmod(tmp_path, 0)
+        proc = subprocess_run_for_testing(
+            [sys.executable, "-c", "import matplotlib"],
+            env={**os.environ, "MPLCONFIGDIR": str(tmp_path)},
+            stderr=subprocess.PIPE, text=True, check=True)
+        assert "set the MPLCONFIGDIR" in proc.stderr
+    finally:
+        os.chmod(tmp_path, mode)
+
+
+def test_importable_with_no_home(tmp_path):
+    subprocess_run_for_testing(
+        [sys.executable, "-c",
+         "import pathlib; pathlib.Path.home = lambda *args: 1/0; "
+         "import matplotlib.pyplot"],
+        env={**os.environ, "MPLCONFIGDIR": str(tmp_path)}, check=True)
+
+
+def test_use_doc_standard_backends():
+    """
+    Test that the standard backends mentioned in the docstring of
+    matplotlib.use() are the same as in matplotlib.rcsetup.
+    """
+    def parse(key):
+        backends = []
+        for line in matplotlib.use.__doc__.split(key)[1].split('\n'):
+            if not line.strip():
+                break
+            backends += [e.strip().lower() for e in line.split(',') if e]
+        return backends
+
+    from matplotlib.backends import BackendFilter, backend_registry
+
+    assert (set(parse('- interactive backends:\n')) ==
+            set(backend_registry.list_builtin(BackendFilter.INTERACTIVE)))
+    assert (set(parse('- non-interactive backends:\n')) ==
+            set(backend_registry.list_builtin(BackendFilter.NON_INTERACTIVE)))
+
+
+def test_importable_with__OO():
+    """
+    When using -OO or export PYTHONOPTIMIZE=2, docstrings are discarded,
+    this simple test may prevent something like issue #17970.
+    """
+    program = (
+        "import matplotlib as mpl; "
+        "import matplotlib.pyplot as plt; "
+        "import matplotlib.cbook as cbook; "
+        "import matplotlib.patches as mpatches"
+    )
+    subprocess_run_for_testing(
+        [sys.executable, "-OO", "-c", program],
+        env={**os.environ, "MPLBACKEND": ""}, check=True
+        )
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 9cd4379bd5cb..3b0d2529b5f1 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -1,580 +1,24 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import tempfile
-
-from numpy.testing import assert_allclose, assert_array_equal
-import numpy.ma.testutils as matest
+from numpy.testing import (assert_allclose, assert_almost_equal,
+                           assert_array_equal, assert_array_almost_equal_nulp)
 import numpy as np
-from nose.tools import (assert_equal, assert_almost_equal, assert_not_equal,
-                        assert_true, assert_raises)
-
-import matplotlib.mlab as mlab
-import matplotlib.cbook as cbook
-from matplotlib.testing.decorators import knownfailureif, CleanupTestCase
-
-
-try:
-    from mpl_toolkits.natgrid import _natgrid
-    HAS_NATGRID = True
-except ImportError:
-    HAS_NATGRID = False
-
-
-class general_testcase(CleanupTestCase):
-    def test_colinear_pca(self):
-        a = mlab.PCA._get_colinear()
-        pca = mlab.PCA(a)
+import pytest
 
-        assert_allclose(pca.fracs[2:], 0., atol=1e-8)
-        assert_allclose(pca.Y[:, 2:], 0., atol=1e-8)
-
-    def test_prctile(self):
-        # test odd lengths
-        x = [1, 2, 3]
-        assert_equal(mlab.prctile(x, 50), np.median(x))
-
-        # test even lengths
-        x = [1, 2, 3, 4]
-        assert_equal(mlab.prctile(x, 50), np.median(x))
-
-        # derived from email sent by jason-sage to MPL-user on 20090914
-        ob1 = [1, 1, 2, 2, 1, 2, 4, 3, 2, 2, 2, 3,
-               4, 5, 6, 7, 8, 9, 7, 6, 4, 5, 5]
-        p = [0, 75, 100]
-        expected = [1, 5.5, 9]
-
-        # test vectorized
-        actual = mlab.prctile(ob1, p)
-        assert_allclose(expected, actual)
-
-        # test scalar
-        for pi, expectedi in zip(p, expected):
-            actuali = mlab.prctile(ob1, pi)
-            assert_allclose(expectedi, actuali)
-
-    def test_norm(self):
-        np.random.seed(0)
-        N = 1000
-        x = np.random.standard_normal(N)
-        targ = np.linalg.norm(x)
-        res = mlab._norm(x)
-        assert_almost_equal(targ, res)
-
-
-class spacing_testcase(CleanupTestCase):
-    def test_logspace_tens(self):
-        xmin = .01
-        xmax = 1000.
-        N = 6
-        res = mlab.logspace(xmin, xmax, N)
-        targ = np.logspace(np.log10(xmin), np.log10(xmax), N)
-        assert_allclose(targ, res)
-
-    def test_logspace_primes(self):
-        xmin = .03
-        xmax = 1313.
-        N = 7
-        res = mlab.logspace(xmin, xmax, N)
-        targ = np.logspace(np.log10(xmin), np.log10(xmax), N)
-        assert_allclose(targ, res)
-
-    def test_logspace_none(self):
-        xmin = .03
-        xmax = 1313.
-        N = 0
-        res = mlab.logspace(xmin, xmax, N)
-        targ = np.logspace(np.log10(xmin), np.log10(xmax), N)
-        assert_array_equal(targ, res)
-        assert_equal(res.size, 0)
-
-    def test_logspace_single(self):
-        xmin = .03
-        xmax = 1313.
-        N = 1
-        res = mlab.logspace(xmin, xmax, N)
-        targ = np.logspace(np.log10(xmin), np.log10(xmax), N)
-        assert_array_equal(targ, res)
-        assert_equal(res.size, 1)
-
-
-class stride_testcase(CleanupTestCase):
-    def get_base(self, x):
-        y = x
-        while y.base is not None:
-            y = y.base
-        return y
-
-    def calc_window_target(self, x, NFFT, noverlap=0):
-        '''This is an adaptation of the original window extraction
-        algorithm.  This is here to test to make sure the new implementation
-        has the same result'''
-        step = NFFT - noverlap
-        ind = np.arange(0, len(x) - NFFT + 1, step)
-        n = len(ind)
-        result = np.zeros((NFFT, n))
-
-        # do the ffts of the slices
-        for i in range(n):
-            result[:, i] = x[ind[i]:ind[i]+NFFT]
-        return result
-
-    def test_stride_windows_2D_ValueError(self):
-        x = np.arange(10)[np.newaxis]
-        assert_raises(ValueError, mlab.stride_windows, x, 5)
-
-    def test_stride_windows_0D_ValueError(self):
-        x = np.array(0)
-        assert_raises(ValueError, mlab.stride_windows, x, 5)
-
-    def test_stride_windows_noverlap_gt_n_ValueError(self):
-        x = np.arange(10)
-        assert_raises(ValueError, mlab.stride_windows, x, 2, 3)
-
-    def test_stride_windows_noverlap_eq_n_ValueError(self):
-        x = np.arange(10)
-        assert_raises(ValueError, mlab.stride_windows, x, 2, 2)
-
-    def test_stride_windows_n_gt_lenx_ValueError(self):
-        x = np.arange(10)
-        assert_raises(ValueError, mlab.stride_windows, x, 11)
-
-    def test_stride_windows_n_lt_1_ValueError(self):
-        x = np.arange(10)
-        assert_raises(ValueError, mlab.stride_windows, x, 0)
-
-    def test_stride_repeat_2D_ValueError(self):
-        x = np.arange(10)[np.newaxis]
-        assert_raises(ValueError, mlab.stride_repeat, x, 5)
-
-    def test_stride_repeat_axis_lt_0_ValueError(self):
-        x = np.array(0)
-        assert_raises(ValueError, mlab.stride_repeat, x, 5, axis=-1)
-
-    def test_stride_repeat_axis_gt_1_ValueError(self):
-        x = np.array(0)
-        assert_raises(ValueError, mlab.stride_repeat, x, 5, axis=2)
-
-    def test_stride_repeat_n_lt_1_ValueError(self):
-        x = np.arange(10)
-        assert_raises(ValueError, mlab.stride_repeat, x, 0)
-
-    def test_stride_repeat_n1_axis0(self):
-        x = np.arange(10)
-        y = mlab.stride_repeat(x, 1)
-        assert_equal((1, ) + x.shape, y.shape)
-        assert_array_equal(x, y.flat)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_repeat_n1_axis1(self):
-        x = np.arange(10)
-        y = mlab.stride_repeat(x, 1, axis=1)
-        assert_equal(x.shape + (1, ), y.shape)
-        assert_array_equal(x, y.flat)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_repeat_n5_axis0(self):
-        x = np.arange(10)
-        y = mlab.stride_repeat(x, 5)
-        yr = np.repeat(x[np.newaxis], 5, axis=0)
-        assert_equal(yr.shape, y.shape)
-        assert_array_equal(yr, y)
-        assert_equal((5, ) + x.shape, y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_repeat_n5_axis1(self):
-        x = np.arange(10)
-        y = mlab.stride_repeat(x, 5, axis=1)
-        yr = np.repeat(x[np.newaxis], 5, axis=0).T
-        assert_equal(yr.shape, y.shape)
-        assert_array_equal(yr, y)
-        assert_equal(x.shape + (5, ), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n1_noverlap0_axis0(self):
-        x = np.arange(10)
-        y = mlab.stride_windows(x, 1)
-        yt = self.calc_window_target(x, 1)
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((1, ) + x.shape, y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n1_noverlap0_axis1(self):
-        x = np.arange(10)
-        y = mlab.stride_windows(x, 1, axis=1)
-        yt = self.calc_window_target(x, 1).T
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal(x.shape + (1, ), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n5_noverlap0_axis0(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 5)
-        yt = self.calc_window_target(x, 5)
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((5, 20), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n5_noverlap0_axis1(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 5, axis=1)
-        yt = self.calc_window_target(x, 5).T
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((20, 5), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n15_noverlap2_axis0(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 15, 2)
-        yt = self.calc_window_target(x, 15, 2)
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((15, 7), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n15_noverlap2_axis1(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 15, 2, axis=1)
-        yt = self.calc_window_target(x, 15, 2).T
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((7, 15), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n13_noverlapn3_axis0(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 13, -3)
-        yt = self.calc_window_target(x, 13, -3)
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((13, 6), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n13_noverlapn3_axis1(self):
-        x = np.arange(100)
-        y = mlab.stride_windows(x, 13, -3, axis=1)
-        yt = self.calc_window_target(x, 13, -3).T
-        assert_equal(yt.shape, y.shape)
-        assert_array_equal(yt, y)
-        assert_equal((6, 13), y.shape)
-        assert_true(self.get_base(y) is x)
-
-    def test_stride_windows_n32_noverlap0_axis0_unflatten(self):
-        n = 32
-        x = np.arange(n)[np.newaxis]
-        x1 = np.tile(x, (21, 1))
-        x2 = x1.flatten()
-        y = mlab.stride_windows(x2, n)
-        assert_equal(y.shape, x1.T.shape)
-        assert_array_equal(y, x1.T)
-
-    def test_stride_windows_n32_noverlap0_axis1_unflatten(self):
-        n = 32
-        x = np.arange(n)[np.newaxis]
-        x1 = np.tile(x, (21, 1))
-        x2 = x1.flatten()
-        y = mlab.stride_windows(x2, n, axis=1)
-        assert_equal(y.shape, x1.shape)
-        assert_array_equal(y, x1)
-
-
-class csv_testcase(CleanupTestCase):
-    def setUp(self):
-        if six.PY3:
-            self.fd = tempfile.TemporaryFile(suffix='csv', mode="w+",
-                                             newline='')
-        else:
-            self.fd = tempfile.TemporaryFile(suffix='csv', mode="wb+")
-
-    def tearDown(self):
-        self.fd.close()
-
-    def test_recarray_csv_roundtrip(self):
-        expected = np.recarray((99,),
-                               [(str('x'), np.float),
-                                (str('y'), np.float),
-                                (str('t'), np.float)])
-        # initialising all values: uninitialised memory sometimes produces
-        # floats that do not round-trip to string and back.
-        expected['x'][:] = np.linspace(-1e9, -1, 99)
-        expected['y'][:] = np.linspace(1, 1e9, 99)
-        expected['t'][:] = np.linspace(0, 0.01, 99)
-
-        mlab.rec2csv(expected, self.fd)
-        self.fd.seek(0)
-        actual = mlab.csv2rec(self.fd)
-
-        assert_allclose(expected['x'], actual['x'])
-        assert_allclose(expected['y'], actual['y'])
-        assert_allclose(expected['t'], actual['t'])
-
-    def test_rec2csv_bad_shape_ValueError(self):
-        bad = np.recarray((99, 4), [(str('x'), np.float),
-                                    (str('y'), np.float)])
-
-        # the bad recarray should trigger a ValueError for having ndim > 1.
-        assert_raises(ValueError, mlab.rec2csv, bad, self.fd)
-
-
-class window_testcase(CleanupTestCase):
-    def setUp(self):
-        np.random.seed(0)
-        self.n = 1000
-        self.x = np.arange(0., self.n)
-
-        self.sig_rand = np.random.standard_normal(self.n) + 100.
-        self.sig_ones = np.ones_like(self.x)
-        self.sig_slope = np.linspace(-10., 90., self.n)
-
-    def check_window_apply_repeat(self, x, window, NFFT, noverlap):
-        '''This is an adaptation of the original window application
-        algorithm.  This is here to test to make sure the new implementation
-        has the same result'''
-        step = NFFT - noverlap
-        ind = np.arange(0, len(x) - NFFT + 1, step)
-        n = len(ind)
-        result = np.zeros((NFFT, n))
-
-        if cbook.iterable(window):
-            windowVals = window
-        else:
-            windowVals = window(np.ones((NFFT,), x.dtype))
-
-        # do the ffts of the slices
-        for i in range(n):
-            result[:, i] = windowVals * x[ind[i]:ind[i]+NFFT]
-        return result
-
-    def test_window_none_rand(self):
-        res = mlab.window_none(self.sig_ones)
-        assert_array_equal(res, self.sig_ones)
-
-    def test_window_none_ones(self):
-        res = mlab.window_none(self.sig_rand)
-        assert_array_equal(res, self.sig_rand)
-
-    def test_window_hanning_rand(self):
-        targ = np.hanning(len(self.sig_rand)) * self.sig_rand
-        res = mlab.window_hanning(self.sig_rand)
-
-        assert_allclose(targ, res, atol=1e-06)
-
-    def test_window_hanning_ones(self):
-        targ = np.hanning(len(self.sig_ones))
-        res = mlab.window_hanning(self.sig_ones)
-
-        assert_allclose(targ, res, atol=1e-06)
-
-    def test_apply_window_1D_axis1_ValueError(self):
-        x = self.sig_rand
-        window = mlab.window_hanning
-        assert_raises(ValueError, mlab.apply_window, x, window, axis=1,
-                      return_window=False)
-
-    def test_apply_window_1D_els_wrongsize_ValueError(self):
-        x = self.sig_rand
-        window = mlab.window_hanning(np.ones(x.shape[0]-1))
-        assert_raises(ValueError, mlab.apply_window, x, window)
-
-    def test_apply_window_0D_ValueError(self):
-        x = np.array(0)
-        window = mlab.window_hanning
-        assert_raises(ValueError, mlab.apply_window, x, window, axis=1,
-                      return_window=False)
-
-    def test_apply_window_3D_ValueError(self):
-        x = self.sig_rand[np.newaxis][np.newaxis]
-        window = mlab.window_hanning
-        assert_raises(ValueError, mlab.apply_window, x, window, axis=1,
-                      return_window=False)
-
-    def test_apply_window_hanning_1D(self):
-        x = self.sig_rand
-        window = mlab.window_hanning
-        window1 = mlab.window_hanning(np.ones(x.shape[0]))
-        y, window2 = mlab.apply_window(x, window, return_window=True)
-        yt = window(x)
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-        assert_array_equal(window1, window2)
-
-    def test_apply_window_hanning_1D_axis0(self):
-        x = self.sig_rand
-        window = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=0, return_window=False)
-        yt = window(x)
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_els_1D_axis0(self):
-        x = self.sig_rand
-        window = mlab.window_hanning(np.ones(x.shape[0]))
-        window1 = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=0, return_window=False)
-        yt = window1(x)
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_2D_axis0(self):
-        x = np.random.standard_normal([1000, 10]) + 100.
-        window = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=0, return_window=False)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[1]):
-            yt[:, i] = window(x[:, i])
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_els1_2D_axis0(self):
-        x = np.random.standard_normal([1000, 10]) + 100.
-        window = mlab.window_hanning(np.ones(x.shape[0]))
-        window1 = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=0, return_window=False)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[1]):
-            yt[:, i] = window1(x[:, i])
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_els2_2D_axis0(self):
-        x = np.random.standard_normal([1000, 10]) + 100.
-        window = mlab.window_hanning
-        window1 = mlab.window_hanning(np.ones(x.shape[0]))
-        y, window2 = mlab.apply_window(x, window, axis=0, return_window=True)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[1]):
-            yt[:, i] = window1*x[:, i]
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-        assert_array_equal(window1, window2)
-
-    def test_apply_window_hanning_els3_2D_axis0(self):
-        x = np.random.standard_normal([1000, 10]) + 100.
-        window = mlab.window_hanning
-        window1 = mlab.window_hanning(np.ones(x.shape[0]))
-        y, window2 = mlab.apply_window(x, window, axis=0, return_window=True)
-        yt = mlab.apply_window(x, window1, axis=0, return_window=False)
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-        assert_array_equal(window1, window2)
-
-    def test_apply_window_hanning_2D_axis1(self):
-        x = np.random.standard_normal([10, 1000]) + 100.
-        window = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=1, return_window=False)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[0]):
-            yt[i, :] = window(x[i, :])
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_2D__els1_axis1(self):
-        x = np.random.standard_normal([10, 1000]) + 100.
-        window = mlab.window_hanning(np.ones(x.shape[1]))
-        window1 = mlab.window_hanning
-        y = mlab.apply_window(x, window, axis=1, return_window=False)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[0]):
-            yt[i, :] = window1(x[i, :])
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_2D_els2_axis1(self):
-        x = np.random.standard_normal([10, 1000]) + 100.
-        window = mlab.window_hanning
-        window1 = mlab.window_hanning(np.ones(x.shape[1]))
-        y, window2 = mlab.apply_window(x, window, axis=1, return_window=True)
-        yt = np.zeros_like(x)
-        for i in range(x.shape[0]):
-            yt[i, :] = window1 * x[i, :]
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-        assert_array_equal(window1, window2)
-
-    def test_apply_window_hanning_2D_els3_axis1(self):
-        x = np.random.standard_normal([10, 1000]) + 100.
-        window = mlab.window_hanning
-        window1 = mlab.window_hanning(np.ones(x.shape[1]))
-        y = mlab.apply_window(x, window, axis=1, return_window=False)
-        yt = mlab.apply_window(x, window1, axis=1, return_window=False)
-        assert_equal(yt.shape, y.shape)
-        assert_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_stride_windows_hanning_2D_n13_noverlapn3_axis0(self):
-        x = self.sig_rand
-        window = mlab.window_hanning
-        yi = mlab.stride_windows(x, n=13, noverlap=2, axis=0)
-        y = mlab.apply_window(yi, window, axis=0, return_window=False)
-        yt = self.check_window_apply_repeat(x, window, 13, 2)
-        assert_equal(yt.shape, y.shape)
-        assert_not_equal(x.shape, y.shape)
-        assert_allclose(yt, y, atol=1e-06)
-
-    def test_apply_window_hanning_2D_stack_axis1(self):
-        ydata = np.arange(32)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ycontrol1 = mlab.apply_window(ydata1, mlab.window_hanning)
-        ycontrol2 = mlab.window_hanning(ydata2)
-        ydata = np.vstack([ydata1, ydata2])
-        ycontrol = np.vstack([ycontrol1, ycontrol2])
-        ydata = np.tile(ydata, (20, 1))
-        ycontrol = np.tile(ycontrol, (20, 1))
-        result = mlab.apply_window(ydata, mlab.window_hanning, axis=1,
-                                   return_window=False)
-        assert_allclose(ycontrol, result, atol=1e-08)
+from matplotlib import mlab
 
-    def test_apply_window_hanning_2D_stack_windows_axis1(self):
-        ydata = np.arange(32)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ycontrol1 = mlab.apply_window(ydata1, mlab.window_hanning)
-        ycontrol2 = mlab.window_hanning(ydata2)
-        ydata = np.vstack([ydata1, ydata2])
-        ycontrol = np.vstack([ycontrol1, ycontrol2])
-        ydata = np.tile(ydata, (20, 1))
-        ycontrol = np.tile(ycontrol, (20, 1))
-        result = mlab.apply_window(ydata, mlab.window_hanning, axis=1,
-                                   return_window=False)
-        assert_allclose(ycontrol, result, atol=1e-08)
 
-    def test_apply_window_hanning_2D_stack_windows_axis1_unflatten(self):
-        n = 32
-        ydata = np.arange(n)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ycontrol1 = mlab.apply_window(ydata1, mlab.window_hanning)
-        ycontrol2 = mlab.window_hanning(ydata2)
-        ydata = np.vstack([ydata1, ydata2])
-        ycontrol = np.vstack([ycontrol1, ycontrol2])
-        ydata = np.tile(ydata, (20, 1))
-        ycontrol = np.tile(ycontrol, (20, 1))
-        ydata = ydata.flatten()
-        ydata1 = mlab.stride_windows(ydata, 32, noverlap=0, axis=0)
-        result = mlab.apply_window(ydata1, mlab.window_hanning, axis=0,
-                                   return_window=False)
-        assert_allclose(ycontrol.T, result, atol=1e-08)
+def test_window():
+    np.random.seed(0)
+    n = 1000
+    rand = np.random.standard_normal(n) + 100
+    ones = np.ones(n)
+    assert_array_equal(mlab.window_none(ones), ones)
+    assert_array_equal(mlab.window_none(rand), rand)
+    assert_array_equal(np.hanning(len(rand)) * rand, mlab.window_hanning(rand))
+    assert_array_equal(np.hanning(len(ones)), mlab.window_hanning(ones))
 
 
-class detrend_testcase(CleanupTestCase):
-    def setUp(self):
+class TestDetrend:
+    def setup_method(self):
         np.random.seed(0)
         n = 1000
         x = np.linspace(0., 100, n)
@@ -583,661 +27,194 @@ def setUp(self):
 
         self.sig_off = self.sig_zeros + 100.
         self.sig_slope = np.linspace(-10., 90., n)
-
         self.sig_slope_mean = x - x.mean()
 
-        sig_rand = np.random.standard_normal(n)
-        sig_sin = np.sin(x*2*np.pi/(n/100))
-
-        sig_rand -= sig_rand.mean()
-        sig_sin -= sig_sin.mean()
-
-        self.sig_base = sig_rand + sig_sin
-
-        self.atol = 1e-08
-
-    def test_detrend_none_0D_zeros(self):
-        input = 0.
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_equal(input, targ)
-
-    def test_detrend_none_0D_zeros_axis1(self):
-        input = 0.
-        targ = input
-        res = mlab.detrend_none(input, axis=1)
-        assert_equal(input, targ)
-
-    def test_detrend_str_none_0D_zeros(self):
-        input = 0.
-        targ = input
-        res = mlab.detrend(input, key='none')
-        assert_equal(input, targ)
-
-    def test_detrend_detrend_none_0D_zeros(self):
-        input = 0.
-        targ = input
-        res = mlab.detrend(input, key=mlab.detrend_none)
-        assert_equal(input, targ)
-
-    def test_detrend_none_0D_off(self):
-        input = 5.5
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_equal(input, targ)
-
-    def test_detrend_none_1D_off(self):
-        input = self.sig_off
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_array_equal(res, targ)
-
-    def test_detrend_none_1D_slope(self):
-        input = self.sig_slope
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_array_equal(res, targ)
-
-    def test_detrend_none_1D_base(self):
-        input = self.sig_base
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_array_equal(res, targ)
-
-    def test_detrend_none_1D_base_slope_off_list(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = input.tolist()
-        res = mlab.detrend_none(input.tolist())
-        assert_equal(res, targ)
-
-    def test_detrend_none_2D(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        input = np.vstack(arri)
-        targ = input
-        res = mlab.detrend_none(input)
-        assert_array_equal(res, targ)
-
-    def test_detrend_none_2D_T(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        input = np.vstack(arri)
-        targ = input
-        res = mlab.detrend_none(input.T)
-        assert_array_equal(res.T, targ)
-
-    def test_detrend_mean_0D_zeros(self):
-        input = 0.
-        targ = 0.
-        res = mlab.detrend_mean(input)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_str_mean_0D_zeros(self):
-        input = 0.
-        targ = 0.
-        res = mlab.detrend(input, key='mean')
-        assert_almost_equal(res, targ)
-
-    def test_detrend_detrend_mean_0D_zeros(self):
-        input = 0.
-        targ = 0.
-        res = mlab.detrend(input, key=mlab.detrend_mean)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_mean_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend_mean(input)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_str_mean_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend(input, key='mean')
-        assert_almost_equal(res, targ)
-
-    def test_detrend_detrend_mean_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend(input, key=mlab.detrend_mean)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_mean_1D_zeros(self):
-        input = self.sig_zeros
-        targ = self.sig_zeros
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_mean_1D_base(self):
-        input = self.sig_base
-        targ = self.sig_base
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_mean_1D_base_off(self):
-        input = self.sig_base + self.sig_off
-        targ = self.sig_base
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_mean_1D_base_slope(self):
-        input = self.sig_base + self.sig_slope
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_mean_1D_base_slope_off(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_mean_1D_base_slope_off_axis0(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.detrend_mean(input, axis=0)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_mean_1D_base_slope_off_list(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.detrend_mean(input.tolist())
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_mean_1D_base_slope_off_list_axis0(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.detrend_mean(input.tolist(), axis=0)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_demean_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.demean(input, axis=None)
-        assert_almost_equal(res, targ)
-
-    def test_demean_1D_base_slope_off(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.demean(input)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_demean_1D_base_slope_off_axis0(self):
-        input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.demean(input, axis=0)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_demean_1D_base_slope_off_list(self):
+        self.sig_base = (
+            np.random.standard_normal(n) + np.sin(x*2*np.pi/(n/100)))
+        self.sig_base -= self.sig_base.mean()
+
+    def allclose(self, *args):
+        assert_allclose(*args, atol=1e-8)
+
+    def test_detrend_none(self):
+        assert mlab.detrend_none(0.) == 0.
+        assert mlab.detrend_none(0., axis=1) == 0.
+        assert mlab.detrend(0., key="none") == 0.
+        assert mlab.detrend(0., key=mlab.detrend_none) == 0.
+        for sig in [
+                5.5, self.sig_off, self.sig_slope, self.sig_base,
+                (self.sig_base + self.sig_slope + self.sig_off).tolist(),
+                np.vstack([self.sig_base,  # 2D case.
+                           self.sig_base + self.sig_off,
+                           self.sig_base + self.sig_slope,
+                           self.sig_base + self.sig_off + self.sig_slope]),
+                np.vstack([self.sig_base,  # 2D transposed case.
+                           self.sig_base + self.sig_off,
+                           self.sig_base + self.sig_slope,
+                           self.sig_base + self.sig_off + self.sig_slope]).T,
+        ]:
+            if isinstance(sig, np.ndarray):
+                assert_array_equal(mlab.detrend_none(sig), sig)
+            else:
+                assert mlab.detrend_none(sig) == sig
+
+    def test_detrend_mean(self):
+        for sig in [0., 5.5]:  # 0D.
+            assert mlab.detrend_mean(sig) == 0.
+            assert mlab.detrend(sig, key="mean") == 0.
+            assert mlab.detrend(sig, key=mlab.detrend_mean) == 0.
+        # 1D.
+        self.allclose(mlab.detrend_mean(self.sig_zeros), self.sig_zeros)
+        self.allclose(mlab.detrend_mean(self.sig_base), self.sig_base)
+        self.allclose(mlab.detrend_mean(self.sig_base + self.sig_off),
+                      self.sig_base)
+        self.allclose(mlab.detrend_mean(self.sig_base + self.sig_slope),
+                      self.sig_base + self.sig_slope_mean)
+        self.allclose(
+            mlab.detrend_mean(self.sig_base + self.sig_slope + self.sig_off),
+            self.sig_base + self.sig_slope_mean)
+
+    def test_detrend_mean_1d_base_slope_off_list_andor_axis0(self):
         input = self.sig_base + self.sig_slope + self.sig_off
-        targ = self.sig_base + self.sig_slope_mean
-        res = mlab.demean(input.tolist())
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_mean_2D_default(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_mean_2D_none(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=None)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_none_T(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=None)
-        assert_allclose(res.T, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axis0(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend_mean(input, axis=0)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axis1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axism1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=-1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_none(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=None)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_none_T(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=None)
-        assert_allclose(res.T, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axis0(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend_mean(input, axis=0)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axis1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_mean_2D_axism1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend_mean(input, axis=-1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_2D_default(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_2D_none(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input, axis=None)
-        assert_allclose(res, targ, atol=1e-08)
-
-    def test_detrend_str_mean_2D_axis0(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend(input, key='mean', axis=0)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_str_constant_2D_none_T(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input, key='constant', axis=None)
-        assert_allclose(res.T, targ,
-                        atol=1e-08)
-
-    def test_detrend_str_default_2D_axis1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input, key='default', axis=1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_detrend_mean_2D_axis0(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend(input, key=mlab.detrend_mean, axis=0)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_demean_2D_default(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.demean(input)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_demean_2D_none(self):
-        arri = [self.sig_off,
-                self.sig_base + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_base]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.demean(input, axis=None)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_demean_2D_axis0(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.demean(input, axis=0)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_demean_2D_axis1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.demean(input, axis=1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_demean_2D_axism1(self):
-        arri = [self.sig_base,
-                self.sig_base + self.sig_off,
-                self.sig_base + self.sig_slope,
-                self.sig_base + self.sig_off + self.sig_slope]
-        arrt = [self.sig_base,
-                self.sig_base,
-                self.sig_base + self.sig_slope_mean,
-                self.sig_base + self.sig_slope_mean]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.demean(input, axis=-1)
-        assert_allclose(res, targ,
-                        atol=1e-08)
-
-    def test_detrend_bad_key_str_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.detrend, input, key='spam')
-
-    def test_detrend_bad_key_var_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.detrend, input, key=5)
-
-    def test_detrend_mean_0D_d0_ValueError(self):
-        input = 5.5
-        assert_raises(ValueError, mlab.detrend_mean, input, axis=0)
-
-    def test_detrend_0D_d0_ValueError(self):
-        input = 5.5
-        assert_raises(ValueError, mlab.detrend, input, axis=0)
-
-    def test_detrend_mean_1D_d1_ValueError(self):
-        input = self.sig_slope
-        assert_raises(ValueError, mlab.detrend_mean, input, axis=1)
-
-    def test_detrend_1D_d1_ValueError(self):
-        input = self.sig_slope
-        assert_raises(ValueError, mlab.detrend, input, axis=1)
-
-    def test_demean_1D_d1_ValueError(self):
-        input = self.sig_slope
-        assert_raises(ValueError, mlab.demean, input, axis=1)
-
-    def test_detrend_mean_2D_d2_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.detrend_mean, input, axis=2)
-
-    def test_detrend_2D_d2_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.detrend, input, axis=2)
-
-    def test_demean_2D_d2_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.demean, input, axis=2)
-
-    def test_detrend_linear_0D_zeros(self):
-        input = 0.
-        targ = 0.
-        res = mlab.detrend_linear(input)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_linear_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend_linear(input)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_str_linear_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend(input, key='linear')
-        assert_almost_equal(res, targ)
-
-    def test_detrend_detrend_linear_0D_off(self):
-        input = 5.5
-        targ = 0.
-        res = mlab.detrend(input, key=mlab.detrend_linear)
-        assert_almost_equal(res, targ)
-
-    def test_detrend_linear_1d_off(self):
-        input = self.sig_off
-        targ = self.sig_zeros
-        res = mlab.detrend_linear(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_linear_1d_slope(self):
-        input = self.sig_slope
-        targ = self.sig_zeros
-        res = mlab.detrend_linear(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_linear_1d_slope_off(self):
-        input = self.sig_slope + self.sig_off
-        targ = self.sig_zeros
-        res = mlab.detrend_linear(input)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_str_linear_1d_slope_off(self):
-        input = self.sig_slope + self.sig_off
-        targ = self.sig_zeros
-        res = mlab.detrend(input, key='linear')
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_detrend_linear_1d_slope_off(self):
-        input = self.sig_slope + self.sig_off
-        targ = self.sig_zeros
-        res = mlab.detrend(input, key=mlab.detrend_linear)
-        assert_allclose(res, targ, atol=self.atol)
+        target = self.sig_base + self.sig_slope_mean
+        self.allclose(mlab.detrend_mean(input, axis=0), target)
+        self.allclose(mlab.detrend_mean(input.tolist()), target)
+        self.allclose(mlab.detrend_mean(input.tolist(), axis=0), target)
+
+    def test_detrend_mean_2d(self):
+        input = np.vstack([self.sig_off,
+                           self.sig_base + self.sig_off])
+        target = np.vstack([self.sig_zeros,
+                            self.sig_base])
+        self.allclose(mlab.detrend_mean(input), target)
+        self.allclose(mlab.detrend_mean(input, axis=None), target)
+        self.allclose(mlab.detrend_mean(input.T, axis=None).T, target)
+        self.allclose(mlab.detrend(input), target)
+        self.allclose(mlab.detrend(input, axis=None), target)
+        self.allclose(
+            mlab.detrend(input.T, key="constant", axis=None), target.T)
+
+        input = np.vstack([self.sig_base,
+                           self.sig_base + self.sig_off,
+                           self.sig_base + self.sig_slope,
+                           self.sig_base + self.sig_off + self.sig_slope])
+        target = np.vstack([self.sig_base,
+                            self.sig_base,
+                            self.sig_base + self.sig_slope_mean,
+                            self.sig_base + self.sig_slope_mean])
+        self.allclose(mlab.detrend_mean(input.T, axis=0), target.T)
+        self.allclose(mlab.detrend_mean(input, axis=1), target)
+        self.allclose(mlab.detrend_mean(input, axis=-1), target)
+        self.allclose(mlab.detrend(input, key="default", axis=1), target)
+        self.allclose(mlab.detrend(input.T, key="mean", axis=0), target.T)
+        self.allclose(
+            mlab.detrend(input.T, key=mlab.detrend_mean, axis=0), target.T)
+
+    def test_detrend_ValueError(self):
+        for signal, kwargs in [
+                (self.sig_slope[np.newaxis], {"key": "spam"}),
+                (self.sig_slope[np.newaxis], {"key": 5}),
+                (5.5, {"axis": 0}),
+                (self.sig_slope, {"axis": 1}),
+                (self.sig_slope[np.newaxis], {"axis": 2}),
+        ]:
+            with pytest.raises(ValueError):
+                mlab.detrend(signal, **kwargs)
+
+    def test_detrend_mean_ValueError(self):
+        for signal, kwargs in [
+                (5.5, {"axis": 0}),
+                (self.sig_slope, {"axis": 1}),
+                (self.sig_slope[np.newaxis], {"axis": 2}),
+        ]:
+            with pytest.raises(ValueError):
+                mlab.detrend_mean(signal, **kwargs)
+
+    def test_detrend_linear(self):
+        # 0D.
+        assert mlab.detrend_linear(0.) == 0.
+        assert mlab.detrend_linear(5.5) == 0.
+        assert mlab.detrend(5.5, key="linear") == 0.
+        assert mlab.detrend(5.5, key=mlab.detrend_linear) == 0.
+        for sig in [  # 1D.
+                self.sig_off,
+                self.sig_slope,
+                self.sig_slope + self.sig_off,
+        ]:
+            self.allclose(mlab.detrend_linear(sig), self.sig_zeros)
 
-    def test_detrend_linear_1d_slope_off_list(self):
+    def test_detrend_str_linear_1d(self):
         input = self.sig_slope + self.sig_off
-        targ = self.sig_zeros
-        res = mlab.detrend_linear(input.tolist())
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_linear_2D_ValueError(self):
-        input = self.sig_slope[np.newaxis]
-        assert_raises(ValueError, mlab.detrend_linear, input)
-
-    def test_detrend_str_linear_2d_slope_off_axis0(self):
-        arri = [self.sig_off,
-                self.sig_slope,
-                self.sig_slope + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_zeros,
-                self.sig_zeros]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend(input, key='linear', axis=0)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_detrend_linear_1d_slope_off_axis1(self):
-        arri = [self.sig_off,
-                self.sig_slope,
-                self.sig_slope + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_zeros,
-                self.sig_zeros]
-        input = np.vstack(arri).T
-        targ = np.vstack(arrt).T
-        res = mlab.detrend(input, key=mlab.detrend_linear, axis=0)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_str_linear_2d_slope_off_axis0(self):
-        arri = [self.sig_off,
-                self.sig_slope,
-                self.sig_slope + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_zeros,
-                self.sig_zeros]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input, key='linear', axis=1)
-        assert_allclose(res, targ, atol=self.atol)
-
-    def test_detrend_detrend_linear_1d_slope_off_axis1(self):
-        arri = [self.sig_off,
-                self.sig_slope,
-                self.sig_slope + self.sig_off]
-        arrt = [self.sig_zeros,
-                self.sig_zeros,
-                self.sig_zeros]
-        input = np.vstack(arri)
-        targ = np.vstack(arrt)
-        res = mlab.detrend(input, key=mlab.detrend_linear, axis=1)
-        assert_allclose(res, targ, atol=self.atol)
-
-
-class spectral_testcase_nosig_real_onesided(CleanupTestCase):
-    def setUp(self):
-        self.createStim(fstims=[],
-                        iscomplex=False, sides='onesided', nsides=1)
-
-    def createStim(self, fstims, iscomplex, sides, nsides, len_x=None,
-                   NFFT_density=-1, nover_density=-1, pad_to_density=-1,
-                   pad_to_spectrum=-1):
+        target = self.sig_zeros
+        self.allclose(mlab.detrend(input, key="linear"), target)
+        self.allclose(mlab.detrend(input, key=mlab.detrend_linear), target)
+        self.allclose(mlab.detrend_linear(input.tolist()), target)
+
+    def test_detrend_linear_2d(self):
+        input = np.vstack([self.sig_off,
+                           self.sig_slope,
+                           self.sig_slope + self.sig_off])
+        target = np.vstack([self.sig_zeros,
+                            self.sig_zeros,
+                            self.sig_zeros])
+        self.allclose(
+            mlab.detrend(input.T, key="linear", axis=0), target.T)
+        self.allclose(
+            mlab.detrend(input.T, key=mlab.detrend_linear, axis=0), target.T)
+        self.allclose(
+            mlab.detrend(input, key="linear", axis=1), target)
+        self.allclose(
+            mlab.detrend(input, key=mlab.detrend_linear, axis=1), target)
+
+        with pytest.raises(ValueError):
+            mlab.detrend_linear(self.sig_slope[np.newaxis])
+
+
+@pytest.mark.parametrize('iscomplex', [False, True],
+                         ids=['real', 'complex'], scope='class')
+@pytest.mark.parametrize('sides', ['onesided', 'twosided', 'default'],
+                         scope='class')
+@pytest.mark.parametrize(
+    'fstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrum',
+    [
+        ([], None, -1, -1, -1, -1),
+        ([4], None, -1, -1, -1, -1),
+        ([4, 5, 10], None, -1, -1, -1, -1),
+        ([], None, None, -1, -1, None),
+        ([], None, -1, -1, None, None),
+        ([], None, None, -1, None, None),
+        ([], 1024, 512, -1, -1, 128),
+        ([], 256, -1, -1, 33, 257),
+        ([], 255, 33, -1, -1, None),
+        ([], 256, 128, -1, 256, 256),
+        ([], None, -1, 32, -1, -1),
+    ],
+    ids=[
+        'nosig',
+        'Fs4',
+        'FsAll',
+        'nosig_noNFFT',
+        'nosig_nopad_to',
+        'nosig_noNFFT_no_pad_to',
+        'nosig_trim',
+        'nosig_odd',
+        'nosig_oddlen',
+        'nosig_stretch',
+        'nosig_overlap',
+    ],
+    scope='class')
+class TestSpectral:
+    @pytest.fixture(scope='class', autouse=True)
+    def stim(self, request, fstims, iscomplex, sides, len_x, NFFT_density,
+             nover_density, pad_to_density, pad_to_spectrum):
         Fs = 100.
 
-        x = np.arange(0, 10, 1/Fs)
+        x = np.arange(0, 10, 1 / Fs)
         if len_x is not None:
             x = x[:len_x]
 
         # get the stimulus frequencies, defaulting to None
-        fstims = [Fs/fstim for fstim in fstims]
+        fstims = [Fs / fstim for fstim in fstims]
 
         # get the constants, default to calculated values
         if NFFT_density is None:
@@ -1250,7 +227,7 @@ def createStim(self, fstims, iscomplex, sides, nsides, len_x=None,
         if nover_density is None:
             nover_density_real = 0
         elif nover_density < 0:
-            nover_density_real = nover_density = NFFT_density_real//2
+            nover_density_real = nover_density = NFFT_density_real // 2
         else:
             nover_density_real = nover_density
 
@@ -1273,7 +250,7 @@ def createStim(self, fstims, iscomplex, sides, nsides, len_x=None,
             NFFT_spectrum_real = NFFT_spectrum = pad_to_spectrum_real
         else:
             NFFT_spectrum_real = NFFT_spectrum = len(x)
-        nover_spectrum_real = nover_spectrum = 0
+        nover_spectrum = 0
 
         NFFT_specgram = NFFT_density
         nover_specgram = nover_density
@@ -1281,60 +258,60 @@ def createStim(self, fstims, iscomplex, sides, nsides, len_x=None,
         NFFT_specgram_real = NFFT_density_real
         nover_specgram_real = nover_density_real
 
-        if nsides == 1:
+        if sides == 'onesided' or (sides == 'default' and not iscomplex):
             # frequencies for specgram, psd, and csd
             # need to handle even and odd differently
             if pad_to_density_real % 2:
-                freqs_density = np.linspace(0, Fs/2,
+                freqs_density = np.linspace(0, Fs / 2,
                                             num=pad_to_density_real,
                                             endpoint=False)[::2]
             else:
-                freqs_density = np.linspace(0, Fs/2,
-                                            num=pad_to_density_real//2+1)
+                freqs_density = np.linspace(0, Fs / 2,
+                                            num=pad_to_density_real // 2 + 1)
 
             # frequencies for complex, magnitude, angle, and phase spectrums
             # need to handle even and odd differently
             if pad_to_spectrum_real % 2:
-                freqs_spectrum = np.linspace(0, Fs/2,
+                freqs_spectrum = np.linspace(0, Fs / 2,
                                              num=pad_to_spectrum_real,
                                              endpoint=False)[::2]
             else:
-                freqs_spectrum = np.linspace(0, Fs/2,
-                                             num=pad_to_spectrum_real//2+1)
+                freqs_spectrum = np.linspace(0, Fs / 2,
+                                             num=pad_to_spectrum_real // 2 + 1)
         else:
             # frequencies for specgram, psd, and csd
-            # need to handle even and odd differentl
+            # need to handle even and odd differently
             if pad_to_density_real % 2:
-                freqs_density = np.linspace(-Fs/2, Fs/2,
-                                            num=2*pad_to_density_real,
+                freqs_density = np.linspace(-Fs / 2, Fs / 2,
+                                            num=2 * pad_to_density_real,
                                             endpoint=False)[1::2]
             else:
-                freqs_density = np.linspace(-Fs/2, Fs/2,
+                freqs_density = np.linspace(-Fs / 2, Fs / 2,
                                             num=pad_to_density_real,
                                             endpoint=False)
 
             # frequencies for complex, magnitude, angle, and phase spectrums
             # need to handle even and odd differently
             if pad_to_spectrum_real % 2:
-                freqs_spectrum = np.linspace(-Fs/2, Fs/2,
-                                             num=2*pad_to_spectrum_real,
+                freqs_spectrum = np.linspace(-Fs / 2, Fs / 2,
+                                             num=2 * pad_to_spectrum_real,
                                              endpoint=False)[1::2]
             else:
-                freqs_spectrum = np.linspace(-Fs/2, Fs/2,
+                freqs_spectrum = np.linspace(-Fs / 2, Fs / 2,
                                              num=pad_to_spectrum_real,
                                              endpoint=False)
 
         freqs_specgram = freqs_density
         # time points for specgram
-        t_start = NFFT_specgram_real//2
-        t_stop = len(x) - NFFT_specgram_real//2+1
+        t_start = NFFT_specgram_real // 2
+        t_stop = len(x) - NFFT_specgram_real // 2 + 1
         t_step = NFFT_specgram_real - nover_specgram_real
         t_specgram = x[t_start:t_stop:t_step]
         if NFFT_specgram_real % 2:
-            t_specgram += 1/Fs/2
+            t_specgram += 1 / Fs / 2
         if len(t_specgram) == 0:
-            t_specgram = np.array([NFFT_specgram_real/(2*Fs)])
-        t_spectrum = np.array([NFFT_spectrum_real/(2*Fs)])
+            t_specgram = np.array([NFFT_specgram_real / (2 * Fs)])
+        t_spectrum = np.array([NFFT_spectrum_real / (2 * Fs)])
         t_density = t_specgram
 
         y = np.zeros_like(x)
@@ -1344,41 +321,46 @@ def createStim(self, fstims, iscomplex, sides, nsides, len_x=None,
         if iscomplex:
             y = y.astype('complex')
 
-        self.Fs = Fs
-        self.sides = sides
-        self.fstims = fstims
+        # Interestingly, the instance on which this fixture is called is not
+        # the same as the one on which a test is run. So we need to modify the
+        # class itself when using a class-scoped fixture.
+        cls = request.cls
+
+        cls.Fs = Fs
+        cls.sides = sides
+        cls.fstims = fstims
 
-        self.NFFT_density = NFFT_density
-        self.nover_density = nover_density
-        self.pad_to_density = pad_to_density
+        cls.NFFT_density = NFFT_density
+        cls.nover_density = nover_density
+        cls.pad_to_density = pad_to_density
 
-        self.NFFT_spectrum = NFFT_spectrum
-        self.nover_spectrum = nover_spectrum
-        self.pad_to_spectrum = pad_to_spectrum
+        cls.NFFT_spectrum = NFFT_spectrum
+        cls.nover_spectrum = nover_spectrum
+        cls.pad_to_spectrum = pad_to_spectrum
 
-        self.NFFT_specgram = NFFT_specgram
-        self.nover_specgram = nover_specgram
-        self.pad_to_specgram = pad_to_specgram
+        cls.NFFT_specgram = NFFT_specgram
+        cls.nover_specgram = nover_specgram
+        cls.pad_to_specgram = pad_to_specgram
 
-        self.t_specgram = t_specgram
-        self.t_density = t_density
-        self.t_spectrum = t_spectrum
-        self.y = y
+        cls.t_specgram = t_specgram
+        cls.t_density = t_density
+        cls.t_spectrum = t_spectrum
+        cls.y = y
 
-        self.freqs_density = freqs_density
-        self.freqs_spectrum = freqs_spectrum
-        self.freqs_specgram = freqs_specgram
+        cls.freqs_density = freqs_density
+        cls.freqs_spectrum = freqs_spectrum
+        cls.freqs_specgram = freqs_specgram
 
-        self.NFFT_density_real = NFFT_density_real
+        cls.NFFT_density_real = NFFT_density_real
 
     def check_freqs(self, vals, targfreqs, resfreqs, fstims):
-        assert_true(resfreqs.argmin() == 0)
-        assert_true(resfreqs.argmax() == len(resfreqs)-1)
+        assert resfreqs.argmin() == 0
+        assert resfreqs.argmax() == len(resfreqs)-1
         assert_allclose(resfreqs, targfreqs, atol=1e-06)
         for fstim in fstims:
             i = np.abs(resfreqs - fstim).argmin()
-            assert_true(vals[i] > vals[i+2])
-            assert_true(vals[i] > vals[i-2])
+            assert vals[i] > vals[i+2]
+            assert vals[i] > vals[i-2]
 
     def check_maxfreq(self, spec, fsp, fstims):
         # skip the test if there are no frequencies
@@ -1404,108 +386,48 @@ def check_maxfreq(self, spec, fsp, fstims):
             del fstimst[-1]
             spect[maxind-5:maxind+5] = 0
 
-    def test_spectral_helper_raises_complex_same_data(self):
-        # test that mode 'complex' cannot be used if x is not y
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y+1, mode='complex')
-
-    def test_spectral_helper_raises_magnitude_same_data(self):
-        # test that mode 'magnitude' cannot be used if x is not y
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y+1, mode='magnitude')
-
-    def test_spectral_helper_raises_angle_same_data(self):
-        # test that mode 'angle' cannot be used if x is not y
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y+1, mode='angle')
-
-    def test_spectral_helper_raises_phase_same_data(self):
-        # test that mode 'phase' cannot be used if x is not y
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y+1, mode='phase')
-
-    def test_spectral_helper_raises_unknown_mode(self):
-        # test that unknown value for mode cannot be used
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, mode='spam')
-
-    def test_spectral_helper_raises_unknown_sides(self):
-        # test that unknown value for sides cannot be used
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y, sides='eggs')
-
-    def test_spectral_helper_raises_noverlap_gt_NFFT(self):
-        # test that noverlap cannot be larger than NFFT
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y, NFFT=10, noverlap=20)
-
-    def test_spectral_helper_raises_noverlap_eq_NFFT(self):
-        # test that noverlap cannot be equal to NFFT
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, NFFT=10, noverlap=10)
-
-    def test_spectral_helper_raises_winlen_ne_NFFT(self):
-        # test that the window length cannot be different from NFFT
-        assert_raises(ValueError, mlab._spectral_helper,
-                      x=self.y, y=self.y, NFFT=10, window=np.ones(9))
-
-    def test_single_spectrum_helper_raises_mode_default(self):
-        # test that mode 'default' cannot be used with _single_spectrum_helper
-        assert_raises(ValueError, mlab._single_spectrum_helper,
-                      x=self.y, mode='default')
-
-    def test_single_spectrum_helper_raises_mode_psd(self):
-        # test that mode 'psd' cannot be used with _single_spectrum_helper
-        assert_raises(ValueError, mlab._single_spectrum_helper,
-                      x=self.y, mode='psd')
-
-    def test_spectral_helper_psd(self):
-        freqs = self.freqs_density
-        spec, fsp, t = mlab._spectral_helper(x=self.y, y=self.y,
-                                             NFFT=self.NFFT_density,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_density,
-                                             pad_to=self.pad_to_density,
-                                             sides=self.sides,
-                                             mode='psd')
+    def test_spectral_helper_raises(self):
+        # We don't use parametrize here to handle ``y = self.y``.
+        for kwargs in [  # Various error conditions:
+            {"y": self.y+1, "mode": "complex"},  # Modes requiring ``x is y``.
+            {"y": self.y+1, "mode": "magnitude"},
+            {"y": self.y+1, "mode": "angle"},
+            {"y": self.y+1, "mode": "phase"},
+            {"mode": "spam"},  # Bad mode.
+            {"y": self.y, "sides": "eggs"},  # Bad sides.
+            {"y": self.y, "NFFT": 10, "noverlap": 20},  # noverlap > NFFT.
+            {"NFFT": 10, "noverlap": 10},  # noverlap == NFFT.
+            {"y": self.y, "NFFT": 10,
+             "window": np.ones(9)},  # len(win) != NFFT.
+        ]:
+            with pytest.raises(ValueError):
+                mlab._spectral_helper(x=self.y, **kwargs)
+
+    @pytest.mark.parametrize('mode', ['default', 'psd'])
+    def test_single_spectrum_helper_unsupported_modes(self, mode):
+        with pytest.raises(ValueError):
+            mlab._single_spectrum_helper(x=self.y, mode=mode)
+
+    @pytest.mark.parametrize("mode, case", [
+        ("psd", "density"),
+        ("magnitude", "specgram"),
+        ("magnitude", "spectrum"),
+    ])
+    def test_spectral_helper_psd(self, mode, case):
+        freqs = getattr(self, f"freqs_{case}")
+        spec, fsp, t = mlab._spectral_helper(
+            x=self.y, y=self.y,
+            NFFT=getattr(self, f"NFFT_{case}"),
+            Fs=self.Fs,
+            noverlap=getattr(self, f"nover_{case}"),
+            pad_to=getattr(self, f"pad_to_{case}"),
+            sides=self.sides,
+            mode=mode)
 
         assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_density, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-    def test_spectral_helper_magnitude_specgram(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab._spectral_helper(x=self.y, y=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='magnitude')
-
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-    def test_spectral_helper_magnitude_magnitude_spectrum(self):
-        freqs = self.freqs_spectrum
-        spec, fsp, t = mlab._spectral_helper(x=self.y, y=self.y,
-                                             NFFT=self.NFFT_spectrum,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_spectrum,
-                                             pad_to=self.pad_to_spectrum,
-                                             sides=self.sides,
-                                             mode='magnitude')
-
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_spectrum, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], 1)
+        assert_allclose(t, getattr(self, f"t_{case}"), atol=1e-06)
+        assert spec.shape[0] == freqs.shape[0]
+        assert spec.shape[1] == getattr(self, f"t_{case}").shape[0]
 
     def test_csd(self):
         freqs = self.freqs_density
@@ -1516,7 +438,19 @@ def test_csd(self):
                              pad_to=self.pad_to_density,
                              sides=self.sides)
         assert_allclose(fsp, freqs, atol=1e-06)
-        assert_equal(spec.shape, freqs.shape)
+        assert spec.shape == freqs.shape
+
+    def test_csd_padding(self):
+        """Test zero padding of csd()."""
+        if self.NFFT_density is None:  # for derived classes
+            return
+        sargs = dict(x=self.y, y=self.y+1, Fs=self.Fs, window=mlab.window_none,
+                     sides=self.sides)
+
+        spec0, _ = mlab.csd(NFFT=self.NFFT_density, **sargs)
+        spec1, _ = mlab.csd(NFFT=self.NFFT_density*2, **sargs)
+        assert_almost_equal(np.sum(np.conjugate(spec0)*spec0).real,
+                            np.sum(np.conjugate(spec1/2)*spec1/2).real)
 
     def test_psd(self):
         freqs = self.freqs_density
@@ -1526,50 +460,17 @@ def test_psd(self):
                              noverlap=self.nover_density,
                              pad_to=self.pad_to_density,
                              sides=self.sides)
-        assert_equal(spec.shape, freqs.shape)
+        assert spec.shape == freqs.shape
         self.check_freqs(spec, freqs, fsp, self.fstims)
 
-    def test_psd_detrend_mean_func_offset(self):
-        if self.NFFT_density is None:
-            return
-        freqs = self.freqs_density
-        ydata = np.zeros(self.NFFT_density)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ydata = np.vstack([ydata1, ydata2])
-        ydata = np.tile(ydata, (20, 1))
-        ydatab = ydata.T.flatten()
-        ydata = ydata.flatten()
-        ycontrol = np.zeros_like(ydata)
-        spec_g, fsp_g = mlab.psd(x=ydata,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend=mlab.detrend_mean)
-        spec_b, fsp_b = mlab.psd(x=ydatab,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend=mlab.detrend_mean)
-        spec_c, fsp_c = mlab.psd(x=ycontrol,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides)
-        assert_array_equal(fsp_g, fsp_c)
-        assert_array_equal(fsp_b, fsp_c)
-        assert_allclose(spec_g, spec_c, atol=1e-08)
-        # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
-
-    def test_psd_detrend_mean_str_offset(self):
+    @pytest.mark.parametrize(
+        'make_data, detrend',
+        [(np.zeros, mlab.detrend_mean), (np.zeros, 'mean'),
+         (np.arange, mlab.detrend_linear), (np.arange, 'linear')])
+    def test_psd_detrend(self, make_data, detrend):
         if self.NFFT_density is None:
             return
-        freqs = self.freqs_density
-        ydata = np.zeros(self.NFFT_density)
+        ydata = make_data(self.NFFT_density)
         ydata1 = ydata+5
         ydata2 = ydata+3.3
         ydata = np.vstack([ydata1, ydata2])
@@ -1582,13 +483,13 @@ def test_psd_detrend_mean_str_offset(self):
                                  Fs=self.Fs,
                                  noverlap=0,
                                  sides=self.sides,
-                                 detrend='mean')
+                                 detrend=detrend)
         spec_b, fsp_b = mlab.psd(x=ydatab,
                                  NFFT=self.NFFT_density,
                                  Fs=self.Fs,
                                  noverlap=0,
                                  sides=self.sides,
-                                 detrend='mean')
+                                 detrend=detrend)
         spec_c, fsp_c = mlab.psd(x=ycontrol,
                                  NFFT=self.NFFT_density,
                                  Fs=self.Fs,
@@ -1598,91 +499,17 @@ def test_psd_detrend_mean_str_offset(self):
         assert_array_equal(fsp_b, fsp_c)
         assert_allclose(spec_g, spec_c, atol=1e-08)
         # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
-
-    def test_psd_detrend_linear_func_trend(self):
-        if self.NFFT_density is None:
-            return
-        freqs = self.freqs_density
-        ydata = np.arange(self.NFFT_density)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ydata = np.vstack([ydata1, ydata2])
-        ydata = np.tile(ydata, (20, 1))
-        ydatab = ydata.T.flatten()
-        ydata = ydata.flatten()
-        ycontrol = np.zeros_like(ydata)
-        spec_g, fsp_g = mlab.psd(x=ydata,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend=mlab.detrend_linear)
-        spec_b, fsp_b = mlab.psd(x=ydatab,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend=mlab.detrend_linear)
-        spec_c, fsp_c = mlab.psd(x=ycontrol,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides)
-        assert_array_equal(fsp_g, fsp_c)
-        assert_array_equal(fsp_b, fsp_c)
-        assert_allclose(spec_g, spec_c, atol=1e-08)
-        # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
-
-    def test_psd_detrend_linear_str_trend(self):
-        if self.NFFT_density is None:
-            return
-        freqs = self.freqs_density
-        ydata = np.arange(self.NFFT_density)
-        ydata1 = ydata+5
-        ydata2 = ydata+3.3
-        ydata = np.vstack([ydata1, ydata2])
-        ydata = np.tile(ydata, (20, 1))
-        ydatab = ydata.T.flatten()
-        ydata = ydata.flatten()
-        ycontrol = np.zeros_like(ydata)
-        spec_g, fsp_g = mlab.psd(x=ydata,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend='linear')
-        spec_b, fsp_b = mlab.psd(x=ydatab,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides,
-                                 detrend='linear')
-        spec_c, fsp_c = mlab.psd(x=ycontrol,
-                                 NFFT=self.NFFT_density,
-                                 Fs=self.Fs,
-                                 noverlap=0,
-                                 sides=self.sides)
-        assert_array_equal(fsp_g, fsp_c)
-        assert_array_equal(fsp_b, fsp_c)
-        assert_allclose(spec_g, spec_c, atol=1e-08)
-        # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
+        with pytest.raises(AssertionError):
+            assert_allclose(spec_b, spec_c, atol=1e-08)
 
     def test_psd_window_hanning(self):
         if self.NFFT_density is None:
             return
-        freqs = self.freqs_density
         ydata = np.arange(self.NFFT_density)
         ydata1 = ydata+5
         ydata2 = ydata+3.3
-        ycontrol1, windowVals = mlab.apply_window(ydata1,
-                                                  mlab.window_hanning,
-                                                  return_window=True)
+        windowVals = mlab.window_hanning(np.ones_like(ydata1))
+        ycontrol1 = ydata1 * windowVals
         ycontrol2 = mlab.window_hanning(ydata2)
         ydata = np.vstack([ydata1, ydata2])
         ycontrol = np.vstack([ycontrol1, ycontrol2])
@@ -1709,27 +536,25 @@ def test_psd_window_hanning(self):
                                  noverlap=0,
                                  sides=self.sides,
                                  window=mlab.window_none)
-        spec_c *= len(ycontrol1)/(np.abs(windowVals)**2).sum()
+        spec_c *= len(ycontrol1)/(windowVals**2).sum()
         assert_array_equal(fsp_g, fsp_c)
         assert_array_equal(fsp_b, fsp_c)
         assert_allclose(spec_g, spec_c, atol=1e-08)
         # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
+        with pytest.raises(AssertionError):
+            assert_allclose(spec_b, spec_c, atol=1e-08)
 
     def test_psd_window_hanning_detrend_linear(self):
         if self.NFFT_density is None:
             return
-        freqs = self.freqs_density
         ydata = np.arange(self.NFFT_density)
         ycontrol = np.zeros(self.NFFT_density)
         ydata1 = ydata+5
         ydata2 = ydata+3.3
         ycontrol1 = ycontrol
         ycontrol2 = ycontrol
-        ycontrol1, windowVals = mlab.apply_window(ycontrol1,
-                                                  mlab.window_hanning,
-                                                  return_window=True)
+        windowVals = mlab.window_hanning(np.ones_like(ycontrol1))
+        ycontrol1 = ycontrol1 * windowVals
         ycontrol2 = mlab.window_hanning(ycontrol2)
         ydata = np.vstack([ydata1, ydata2])
         ycontrol = np.vstack([ycontrol1, ycontrol2])
@@ -1758,13 +583,40 @@ def test_psd_window_hanning_detrend_linear(self):
                                  noverlap=0,
                                  sides=self.sides,
                                  window=mlab.window_none)
-        spec_c *= len(ycontrol1)/(np.abs(windowVals)**2).sum()
+        spec_c *= len(ycontrol1)/(windowVals**2).sum()
         assert_array_equal(fsp_g, fsp_c)
         assert_array_equal(fsp_b, fsp_c)
         assert_allclose(spec_g, spec_c, atol=1e-08)
         # these should not be almost equal
-        assert_raises(AssertionError,
-                      assert_allclose, spec_b, spec_c, atol=1e-08)
+        with pytest.raises(AssertionError):
+            assert_allclose(spec_b, spec_c, atol=1e-08)
+
+    def test_psd_window_flattop(self):
+        # flattop window
+        # adaption from https://github.com/scipy/scipy/blob\
+        # /v1.10.0/scipy/signal/windows/_windows.py#L562-L622
+        a = [0.21557895, 0.41663158, 0.277263158, 0.083578947, 0.006947368]
+        fac = np.linspace(-np.pi, np.pi, self.NFFT_density_real)
+        win = np.zeros(self.NFFT_density_real)
+        for k in range(len(a)):
+            win += a[k] * np.cos(k * fac)
+
+        spec, fsp = mlab.psd(x=self.y,
+                             NFFT=self.NFFT_density,
+                             Fs=self.Fs,
+                             noverlap=0,
+                             sides=self.sides,
+                             window=win,
+                             scale_by_freq=False)
+        spec_a, fsp_a = mlab.psd(x=self.y,
+                                 NFFT=self.NFFT_density,
+                                 Fs=self.Fs,
+                                 noverlap=0,
+                                 sides=self.sides,
+                                 window=win)
+        assert_allclose(spec*win.sum()**2,
+                        spec_a*self.Fs*(win**2).sum(),
+                        atol=1e-08)
 
     def test_psd_windowarray(self):
         freqs = self.freqs_density
@@ -1776,22 +628,25 @@ def test_psd_windowarray(self):
                              sides=self.sides,
                              window=np.ones(self.NFFT_density_real))
         assert_allclose(fsp, freqs, atol=1e-06)
-        assert_equal(spec.shape, freqs.shape)
+        assert spec.shape == freqs.shape
 
     def test_psd_windowarray_scale_by_freq(self):
-        freqs = self.freqs_density
+        win = mlab.window_hanning(np.ones(self.NFFT_density_real))
+
         spec, fsp = mlab.psd(x=self.y,
                              NFFT=self.NFFT_density,
                              Fs=self.Fs,
                              noverlap=self.nover_density,
                              pad_to=self.pad_to_density,
-                             sides=self.sides)
+                             sides=self.sides,
+                             window=mlab.window_hanning)
         spec_s, fsp_s = mlab.psd(x=self.y,
                                  NFFT=self.NFFT_density,
                                  Fs=self.Fs,
                                  noverlap=self.nover_density,
                                  pad_to=self.pad_to_density,
                                  sides=self.sides,
+                                 window=mlab.window_hanning,
                                  scale_by_freq=True)
         spec_n, fsp_n = mlab.psd(x=self.y,
                                  NFFT=self.NFFT_density,
@@ -1799,74 +654,33 @@ def test_psd_windowarray_scale_by_freq(self):
                                  noverlap=self.nover_density,
                                  pad_to=self.pad_to_density,
                                  sides=self.sides,
+                                 window=mlab.window_hanning,
                                  scale_by_freq=False)
-
         assert_array_equal(fsp, fsp_s)
         assert_array_equal(fsp, fsp_n)
         assert_array_equal(spec, spec_s)
-        assert_allclose(spec_s, spec_n/self.Fs, atol=1e-08)
-
-    def test_complex_spectrum(self):
-        freqs = self.freqs_spectrum
-        spec, fsp = mlab.complex_spectrum(x=self.y,
-                                          Fs=self.Fs,
-                                          sides=self.sides,
-                                          pad_to=self.pad_to_spectrum)
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_equal(spec.shape, freqs.shape)
-
-    def test_magnitude_spectrum(self):
-        freqs = self.freqs_spectrum
-        spec, fsp = mlab.magnitude_spectrum(x=self.y,
-                                            Fs=self.Fs,
-                                            sides=self.sides,
-                                            pad_to=self.pad_to_spectrum)
-        assert_equal(spec.shape, freqs.shape)
-        self.check_maxfreq(spec, fsp, self.fstims)
-        self.check_freqs(spec, freqs, fsp, self.fstims)
-
-    def test_angle_spectrum(self):
-        freqs = self.freqs_spectrum
-        spec, fsp = mlab.angle_spectrum(x=self.y,
-                                        Fs=self.Fs,
-                                        sides=self.sides,
-                                        pad_to=self.pad_to_spectrum)
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_equal(spec.shape, freqs.shape)
+        assert_allclose(spec_s*(win**2).sum(),
+                        spec_n/self.Fs*win.sum()**2,
+                        atol=1e-08)
 
-    def test_phase_spectrum(self):
+    @pytest.mark.parametrize(
+        "kind", ["complex", "magnitude", "angle", "phase"])
+    def test_spectrum(self, kind):
         freqs = self.freqs_spectrum
-        spec, fsp = mlab.phase_spectrum(x=self.y,
-                                        Fs=self.Fs,
-                                        sides=self.sides,
-                                        pad_to=self.pad_to_spectrum)
+        spec, fsp = getattr(mlab, f"{kind}_spectrum")(
+            x=self.y,
+            Fs=self.Fs, sides=self.sides, pad_to=self.pad_to_spectrum)
         assert_allclose(fsp, freqs, atol=1e-06)
-        assert_equal(spec.shape, freqs.shape)
-
-    def test_specgram_auto(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides)
-        specm = np.mean(spec, axis=1)
-
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-        # since we are using a single freq, all time slices
-        # should be about the same
-        if np.abs(spec.max()) != 0:
-            assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,
-                            atol=1e-02)
-        self.check_freqs(specm, freqs, fsp, self.fstims)
-
-    def test_specgram_default(self):
+        assert spec.shape == freqs.shape
+        if kind == "magnitude":
+            self.check_maxfreq(spec, fsp, self.fstims)
+            self.check_freqs(spec, freqs, fsp, self.fstims)
+
+    @pytest.mark.parametrize(
+        'kwargs',
+        [{}, {'mode': 'default'}, {'mode': 'psd'}, {'mode': 'magnitude'},
+         {'mode': 'complex'}, {'mode': 'angle'}, {'mode': 'phase'}])
+    def test_specgram(self, kwargs):
         freqs = self.freqs_specgram
         spec, fsp, t = mlab.specgram(x=self.y,
                                      NFFT=self.NFFT_specgram,
@@ -1874,120 +688,32 @@ def test_specgram_default(self):
                                      noverlap=self.nover_specgram,
                                      pad_to=self.pad_to_specgram,
                                      sides=self.sides,
-                                     mode='default')
+                                     **kwargs)
+        if kwargs.get('mode') == 'complex':
+            spec = np.abs(spec)
         specm = np.mean(spec, axis=1)
 
         assert_allclose(fsp, freqs, atol=1e-06)
         assert_allclose(t, self.t_specgram, atol=1e-06)
 
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-        # since we are using a single freq, all time slices
-        # should be about the same
-        if np.abs(spec.max()) != 0:
-            assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,
-                            atol=1e-02)
-        self.check_freqs(specm, freqs, fsp, self.fstims)
-
-    def test_specgram_psd(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides,
-                                     mode='psd')
-        specm = np.mean(spec, axis=1)
+        assert spec.shape[0] == freqs.shape[0]
+        assert spec.shape[1] == self.t_specgram.shape[0]
 
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
+        if kwargs.get('mode') not in ['complex', 'angle', 'phase']:
+            # using a single freq, so all time slices should be about the same
+            if np.abs(spec.max()) != 0:
+                assert_allclose(
+                    np.diff(spec, axis=1).max() / np.abs(spec.max()), 0,
+                    atol=1e-02)
+        if kwargs.get('mode') not in ['angle', 'phase']:
+            self.check_freqs(specm, freqs, fsp, self.fstims)
 
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-        # since we are using a single freq, all time slices
-        # should be about the same
-        if np.abs(spec.max()) != 0:
-            assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,
-                            atol=1e-02)
-        self.check_freqs(specm, freqs, fsp, self.fstims)
-
-    def test_specgram_complex(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides,
-                                     mode='complex')
-        specm = np.mean(np.abs(spec), axis=1)
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-        self.check_freqs(specm, freqs, fsp, self.fstims)
-
-    def test_specgram_magnitude(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides,
-                                     mode='magnitude')
-        specm = np.mean(spec, axis=1)
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-        # since we are using a single freq, all time slices
-        # should be about the same
-        if np.abs(spec.max()) != 0:
-            assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,
-                            atol=1e-02)
-        self.check_freqs(specm, freqs, fsp, self.fstims)
-
-    def test_specgram_angle(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides,
-                                     mode='angle')
-        specm = np.mean(spec, axis=1)
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
-
-    def test_specgram_phase(self):
-        freqs = self.freqs_specgram
-        spec, fsp, t = mlab.specgram(x=self.y,
-                                     NFFT=self.NFFT_specgram,
-                                     Fs=self.Fs,
-                                     noverlap=self.nover_specgram,
-                                     pad_to=self.pad_to_specgram,
-                                     sides=self.sides,
-                                     mode='phase')
-        specm = np.mean(spec, axis=1)
-
-        assert_allclose(fsp, freqs, atol=1e-06)
-        assert_allclose(t, self.t_specgram, atol=1e-06)
-
-        assert_equal(spec.shape[0], freqs.shape[0])
-        assert_equal(spec.shape[1], self.t_specgram.shape[0])
+    def test_specgram_warn_only1seg(self):
+        """Warning should be raised if len(x) <= NFFT."""
+        with pytest.warns(UserWarning, match="Only one segment is calculated"):
+            mlab.specgram(x=self.y, NFFT=len(self.y), Fs=self.Fs)
 
     def test_psd_csd_equal(self):
-        freqs = self.freqs_density
         Pxx, freqsxx = mlab.psd(x=self.y,
                                 NFFT=self.NFFT_density,
                                 Fs=self.Fs,
@@ -2000,13 +726,15 @@ def test_psd_csd_equal(self):
                                 noverlap=self.nover_density,
                                 pad_to=self.pad_to_density,
                                 sides=self.sides)
-        assert_array_equal(Pxx, Pxy)
+        assert_array_almost_equal_nulp(Pxx, Pxy)
         assert_array_equal(freqsxx, freqsxy)
 
-    def test_specgram_auto_default_equal(self):
-        '''test that mlab.specgram without mode and with mode 'default' and
-        'psd' are all the same'''
-        freqs = self.freqs_specgram
+    @pytest.mark.parametrize("mode", ["default", "psd"])
+    def test_specgram_auto_default_psd_equal(self, mode):
+        """
+        Test that mlab.specgram without mode and with mode 'default' and 'psd'
+        are all the same.
+        """
         speca, freqspeca, ta = mlab.specgram(x=self.y,
                                              NFFT=self.NFFT_specgram,
                                              Fs=self.Fs,
@@ -2019,34 +747,18 @@ def test_specgram_auto_default_equal(self):
                                              noverlap=self.nover_specgram,
                                              pad_to=self.pad_to_specgram,
                                              sides=self.sides,
-                                             mode='default')
+                                             mode=mode)
         assert_array_equal(speca, specb)
         assert_array_equal(freqspeca, freqspecb)
         assert_array_equal(ta, tb)
 
-    def test_specgram_auto_psd_equal(self):
-        '''test that mlab.specgram without mode and with mode 'default' and
-        'psd' are all the same'''
-        freqs = self.freqs_specgram
-        speca, freqspeca, ta = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides)
-        specc, freqspecc, tc = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='psd')
-        assert_array_equal(speca, specc)
-        assert_array_equal(freqspeca, freqspecc)
-        assert_array_equal(ta, tc)
-
-    def test_specgram_complex_mag_equivalent(self):
-        freqs = self.freqs_specgram
+    @pytest.mark.parametrize(
+        "mode, conv", [
+            ("magnitude", np.abs),
+            ("angle", np.angle),
+            ("phase", lambda x: np.unwrap(np.angle(x), axis=0))
+        ])
+    def test_specgram_complex_equivalent(self, mode, conv):
         specc, freqspecc, tc = mlab.specgram(x=self.y,
                                              NFFT=self.NFFT_specgram,
                                              Fs=self.Fs,
@@ -2060,79 +772,13 @@ def test_specgram_complex_mag_equivalent(self):
                                              noverlap=self.nover_specgram,
                                              pad_to=self.pad_to_specgram,
                                              sides=self.sides,
-                                             mode='magnitude')
+                                             mode=mode)
 
         assert_array_equal(freqspecc, freqspecm)
         assert_array_equal(tc, tm)
-        assert_allclose(np.abs(specc), specm, atol=1e-06)
-
-    def test_specgram_complex_angle_equivalent(self):
-        freqs = self.freqs_specgram
-        specc, freqspecc, tc = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='complex')
-        speca, freqspeca, ta = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='angle')
-
-        assert_array_equal(freqspecc, freqspeca)
-        assert_array_equal(tc, ta)
-        assert_allclose(np.angle(specc), speca, atol=1e-06)
-
-    def test_specgram_complex_phase_equivalent(self):
-        freqs = self.freqs_specgram
-        specc, freqspecc, tc = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='complex')
-        specp, freqspecp, tp = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='phase')
-
-        assert_array_equal(freqspecc, freqspecp)
-        assert_array_equal(tc, tp)
-        assert_allclose(np.unwrap(np.angle(specc), axis=0), specp,
-                        atol=1e-06)
-
-    def test_specgram_angle_phase_equivalent(self):
-        freqs = self.freqs_specgram
-        speca, freqspeca, ta = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='angle')
-        specp, freqspecp, tp = mlab.specgram(x=self.y,
-                                             NFFT=self.NFFT_specgram,
-                                             Fs=self.Fs,
-                                             noverlap=self.nover_specgram,
-                                             pad_to=self.pad_to_specgram,
-                                             sides=self.sides,
-                                             mode='phase')
-
-        assert_array_equal(freqspeca, freqspecp)
-        assert_array_equal(ta, tp)
-        assert_allclose(np.unwrap(speca, axis=0), specp,
-                        atol=1e-06)
+        assert_allclose(conv(specc), specm, atol=1e-06)
 
     def test_psd_windowarray_equal(self):
-        freqs = self.freqs_density
         win = mlab.window_hanning(np.ones(self.NFFT_density_real))
         speca, fspa = mlab.psd(x=self.y,
                                NFFT=self.NFFT_density,
@@ -2151,621 +797,27 @@ def test_psd_windowarray_equal(self):
         assert_allclose(speca, specb, atol=1e-08)
 
 
-class spectral_testcase_nosig_real_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                iscomplex=False, sides='default', nsides=1)
+# extra test for cohere...
+def test_cohere():
+    N = 1024
+    np.random.seed(19680801)
+    x = np.random.randn(N)
+    # phase offset
+    y = np.roll(x, 20)
+    # high-freq roll-off
+    y = np.convolve(y, np.ones(20) / 20., mode='same')
+    cohsq, f = mlab.cohere(x, y, NFFT=256, Fs=2, noverlap=128)
+    assert_allclose(np.mean(cohsq), 0.837, atol=1.e-3)
+    assert np.isreal(np.mean(cohsq))
 
 
-class spectral_testcase_nosig_complex_onesided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_Fs4_real_onesided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_Fs4_real_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_Fs4_real_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_Fs4_complex_onesided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_Fs4_complex_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_Fs4_complex_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4],
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_FsAll_real_onesided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_FsAll_real_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_FsAll_real_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_FsAll_complex_onesided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_FsAll_complex_twosided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_FsAll_complex_defaultsided(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[4, 5, 10],
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_noNFFT(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_nopad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_noNFFT_no_pad_to(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                NFFT_density=None,
-                                pad_to_density=None, pad_to_spectrum=None,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=512, pad_to_spectrum=128,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=512, pad_to_spectrum=128,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=512, pad_to_spectrum=128,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=512, pad_to_spectrum=128,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=512, pad_to_spectrum=128,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_trim(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                NFFT_density=128, pad_to_spectrum=128,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_odd(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=256,
-                                pad_to_density=33, pad_to_spectrum=257,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=33, pad_to_spectrum=None,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=33, pad_to_spectrum=None,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=33, pad_to_spectrum=None,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=33, pad_to_spectrum=None,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=33, pad_to_spectrum=None,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_oddlen(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=255,
-                                NFFT_density=128, pad_to_spectrum=None,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_stretch(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                len_x=128,
-                                NFFT_density=128,
-                                pad_to_density=256, pad_to_spectrum=256,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-class spectral_testcase_nosig_real_onesided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=False, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_real_twosided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=False, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_real_defaultsided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=False, sides='default', nsides=1)
-
-
-class spectral_testcase_nosig_complex_onesided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=True, sides='onesided', nsides=1)
-
-
-class spectral_testcase_nosig_complex_twosided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=True, sides='twosided', nsides=2)
-
-
-class spectral_testcase_nosig_complex_defaultsided_overlap(
-        spectral_testcase_nosig_real_onesided):
-        def setUp(self):
-                self.createStim(fstims=[],
-                                nover_density=32,
-                                iscomplex=True, sides='default', nsides=2)
-
-
-def test_griddata_linear():
-    # z is a linear function of x and y.
-    def get_z(x, y):
-        return 3.0*x - y
-
-    # Passing 1D xi and yi arrays to griddata.
-    x = np.asarray([0.0, 1.0, 0.0, 1.0, 0.5])
-    y = np.asarray([0.0, 0.0, 1.0, 1.0, 0.5])
-    z = get_z(x, y)
-    xi = [0.2, 0.4, 0.6, 0.8]
-    yi = [0.1, 0.3, 0.7, 0.9]
-    zi = mlab.griddata(x, y, z, xi, yi, interp='linear')
-    xi, yi = np.meshgrid(xi, yi)
-    np.testing.assert_array_almost_equal(zi, get_z(xi, yi))
-
-    # Passing 2D xi and yi arrays to griddata.
-    zi = mlab.griddata(x, y, z, xi, yi, interp='linear')
-    np.testing.assert_array_almost_equal(zi, get_z(xi, yi))
-
-    # Masking z array.
-    z_masked = np.ma.array(z, mask=[False, False, False, True, False])
-    correct_zi_masked = np.ma.masked_where(xi + yi > 1.0, get_z(xi, yi))
-    zi = mlab.griddata(x, y, z_masked, xi, yi, interp='linear')
-    matest.assert_array_almost_equal(zi, correct_zi_masked)
-    np.testing.assert_array_equal(np.ma.getmask(zi),
-                                  np.ma.getmask(correct_zi_masked))
-
-
-@knownfailureif(not HAS_NATGRID)
-def test_griddata_nn():
-    # z is a linear function of x and y.
-    def get_z(x, y):
-        return 3.0*x - y
-
-    # Passing 1D xi and yi arrays to griddata.
-    x = np.asarray([0.0, 1.0, 0.0, 1.0, 0.5])
-    y = np.asarray([0.0, 0.0, 1.0, 1.0, 0.5])
-    z = get_z(x, y)
-    xi = [0.2, 0.4, 0.6, 0.8]
-    yi = [0.1, 0.3, 0.7, 0.9]
-    correct_zi = [[0.49999252, 1.0999978, 1.7000030, 2.3000080],
-                  [0.29999208, 0.8999978, 1.5000029, 2.1000059],
-                  [-0.1000099, 0.4999943, 1.0999964, 1.6999979],
-                  [-0.3000128, 0.2999894, 0.8999913, 1.4999933]]
-    zi = mlab.griddata(x, y, z, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi)
-
-    # Decreasing xi or yi should raise ValueError.
-    assert_raises(ValueError, mlab.griddata, x, y, z, xi[::-1], yi,
-                  interp='nn')
-    assert_raises(ValueError, mlab.griddata, x, y, z, xi, yi[::-1],
-                  interp='nn')
-
-    # Passing 2D xi and yi arrays to griddata.
-    xi, yi = np.meshgrid(xi, yi)
-    zi = mlab.griddata(x, y, z, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi)
-
-    # Masking z array.
-    z_masked = np.ma.array(z, mask=[False, False, False, True, False])
-    correct_zi_masked = np.ma.masked_where(xi + yi > 1.0, correct_zi)
-    zi = mlab.griddata(x, y, z_masked, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi_masked, 5)
-    np.testing.assert_array_equal(np.ma.getmask(zi),
-                                  np.ma.getmask(correct_zi_masked))
-
-
-#*****************************************************************
-# These Tests where taken from SCIPY with some minor modifications
-# this can be retreived from:
+# *****************************************************************
+# These Tests were taken from SCIPY with some minor modifications
+# this can be retrieved from:
 # https://github.com/scipy/scipy/blob/master/scipy/stats/tests/test_kdeoth.py
-#*****************************************************************
+# *****************************************************************
 
-class gaussian_kde_tests():
+class TestGaussianKDE:
 
     def test_kde_integer_input(self):
         """Regression test for #1181."""
@@ -2776,7 +828,7 @@ def test_kde_integer_input(self):
         np.testing.assert_array_almost_equal(kde(x1), y_expected, decimal=6)
 
     def test_gaussian_kde_covariance_caching(self):
-        x1 = np.array([-7, -5, 1, 4, 5], dtype=np.float)
+        x1 = np.array([-7, -5, 1, 4, 5], dtype=float)
         xs = np.linspace(-10, 10, num=5)
         # These expected values are from scipy 0.10, before some changes to
         # gaussian_kde. They were not compared with any external reference.
@@ -2805,76 +857,75 @@ def test_kde_bandwidth_method(self):
         xs = np.linspace(-7, 7, 51)
         kdepdf = gkde.evaluate(xs)
         kdepdf2 = gkde2.evaluate(xs)
-        assert_almost_equal(kdepdf.all(), kdepdf2.all())
+        assert kdepdf.all() == kdepdf2.all()
         kdepdf3 = gkde3.evaluate(xs)
-        assert_almost_equal(kdepdf.all(), kdepdf3.all())
+        assert kdepdf.all() == kdepdf3.all()
 
 
-class gaussian_kde_custom_tests(object):
+class TestGaussianKDECustom:
     def test_no_data(self):
         """Pass no data into the GaussianKDE class."""
-        assert_raises(ValueError, mlab.GaussianKDE, [])
+        with pytest.raises(ValueError):
+            mlab.GaussianKDE([])
 
     def test_single_dataset_element(self):
         """Pass a single dataset element into the GaussianKDE class."""
-        assert_raises(ValueError, mlab.GaussianKDE, [42])
+        with pytest.raises(ValueError):
+            mlab.GaussianKDE([42])
 
     def test_silverman_multidim_dataset(self):
-        """Use a multi-dimensional array as the dataset and test silverman's
-        output"""
+        """Test silverman's for a multi-dimensional array."""
         x1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
-        assert_raises(np.linalg.LinAlgError, mlab.GaussianKDE, x1, "silverman")
+        with pytest.raises(np.linalg.LinAlgError):
+            mlab.GaussianKDE(x1, "silverman")
 
     def test_silverman_singledim_dataset(self):
-        """Use a single dimension list as the dataset and test silverman's
-        output."""
+        """Test silverman's output for a single dimension list."""
         x1 = np.array([-7, -5, 1, 4, 5])
         mygauss = mlab.GaussianKDE(x1, "silverman")
         y_expected = 0.76770389927475502
         assert_almost_equal(mygauss.covariance_factor(), y_expected, 7)
 
     def test_scott_multidim_dataset(self):
-        """Use a multi-dimensional array as the dataset and test scott's output
-        """
+        """Test scott's output for a multi-dimensional array."""
         x1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
-        assert_raises(np.linalg.LinAlgError, mlab.GaussianKDE, x1, "scott")
+        with pytest.raises(np.linalg.LinAlgError):
+            mlab.GaussianKDE(x1, "scott")
 
     def test_scott_singledim_dataset(self):
-        """Use a single-dimensional array as the dataset and test scott's
-        output"""
+        """Test scott's output a single-dimensional array."""
         x1 = np.array([-7, -5, 1, 4, 5])
         mygauss = mlab.GaussianKDE(x1, "scott")
         y_expected = 0.72477966367769553
         assert_almost_equal(mygauss.covariance_factor(), y_expected, 7)
 
     def test_scalar_empty_dataset(self):
-        """Use an empty array as the dataset and test the scalar's cov factor
-        """
-        assert_raises(ValueError, mlab.GaussianKDE, [], bw_method=5)
+        """Test the scalar's cov factor for an empty array."""
+        with pytest.raises(ValueError):
+            mlab.GaussianKDE([], bw_method=5)
 
     def test_scalar_covariance_dataset(self):
-        """Use a dataset and test a scalar's cov factor
-        """
+        """Test a scalar's cov factor."""
         np.random.seed(8765678)
         n_basesample = 50
         multidim_data = [np.random.randn(n_basesample) for i in range(5)]
 
         kde = mlab.GaussianKDE(multidim_data, bw_method=0.5)
-        assert_equal(kde.covariance_factor(), 0.5)
+        assert kde.covariance_factor() == 0.5
 
     def test_callable_covariance_dataset(self):
-        """Use a multi-dimensional array as the dataset and test the callable's
-        cov factor"""
+        """Test the callable's cov factor for a multi-dimensional array."""
         np.random.seed(8765678)
         n_basesample = 50
         multidim_data = [np.random.randn(n_basesample) for i in range(5)]
-        callable_fun = lambda x: 0.55
+
+        def callable_fun(x):
+            return 0.55
         kde = mlab.GaussianKDE(multidim_data, bw_method=callable_fun)
-        assert_equal(kde.covariance_factor(), 0.55)
+        assert kde.covariance_factor() == 0.55
 
     def test_callable_singledim_dataset(self):
-        """Use a single-dimensional array as the dataset and test the
-        callable's cov factor"""
+        """Test the callable's cov factor for a single-dimensional array."""
         np.random.seed(8765678)
         n_basesample = 50
         multidim_data = np.random.randn(n_basesample)
@@ -2888,14 +939,17 @@ def test_wrong_bw_method(self):
         np.random.seed(8765678)
         n_basesample = 50
         data = np.random.randn(n_basesample)
-        assert_raises(ValueError, mlab.GaussianKDE, data, bw_method="invalid")
+        with pytest.raises(ValueError):
+            mlab.GaussianKDE(data, bw_method="invalid")
 
 
-class gaussian_kde_evaluate_tests(object):
+class TestGaussianKDEEvaluate:
 
     def test_evaluate_diff_dim(self):
-        """Test the evaluate method when the dim's of dataset and points are
-        different dimensions"""
+        """
+        Test the evaluate method when the dim's of dataset and points have
+        different dimensions.
+        """
         x1 = np.arange(3, 10, 2)
         kde = mlab.GaussianKDE(x1)
         x2 = np.arange(3, 12, 2)
@@ -2906,18 +960,20 @@ def test_evaluate_diff_dim(self):
         np.testing.assert_array_almost_equal(y, y_expected, 7)
 
     def test_evaluate_inv_dim(self):
-        """ Invert the dimensions. i.e., Give the dataset a dimension of
-        1 [3,2,4], and the points will have a dimension of 3 [[3],[2],[4]].
-        ValueError should be raised"""
+        """
+        Invert the dimensions; i.e., for a dataset of dimension 1 [3, 2, 4],
+        the points should have a dimension of 3 [[3], [2], [4]].
+        """
         np.random.seed(8765678)
         n_basesample = 50
         multidim_data = np.random.randn(n_basesample)
         kde = mlab.GaussianKDE(multidim_data)
         x2 = [[1], [2], [3]]
-        assert_raises(ValueError, kde.evaluate, x2)
+        with pytest.raises(ValueError):
+            kde.evaluate(x2)
 
     def test_evaluate_dim_and_num(self):
-        """ Tests if evaluated against a one by one array"""
+        """Tests if evaluated against a one by one array"""
         x1 = np.arange(3, 10, 2)
         x2 = np.array([3])
         kde = mlab.GaussianKDE(x1)
@@ -2926,14 +982,13 @@ def test_evaluate_dim_and_num(self):
         np.testing.assert_array_almost_equal(y, y_expected, 7)
 
     def test_evaluate_point_dim_not_one(self):
-        """Test"""
         x1 = np.arange(3, 10, 2)
         x2 = [np.arange(3, 10, 2), np.arange(3, 10, 2)]
         kde = mlab.GaussianKDE(x1)
-        assert_raises(ValueError, kde.evaluate, x2)
+        with pytest.raises(ValueError):
+            kde.evaluate(x2)
 
     def test_evaluate_equal_dim_and_num_lt(self):
-        """Test when line 3810 fails"""
         x1 = np.arange(3, 10, 2)
         x2 = np.arange(3, 8, 2)
         kde = mlab.GaussianKDE(x1)
@@ -2942,14 +997,26 @@ def test_evaluate_equal_dim_and_num_lt(self):
         np.testing.assert_array_almost_equal(y, y_expected, 7)
 
 
-#*****************************************************************
-#*****************************************************************
-
-if __name__ == '__main__':
-    import nose
-    import sys
-
-    args = ['-s', '--with-doctest']
-    argv = sys.argv
-    argv = argv[:1] + args + argv[1:]
-    nose.runmodule(argv=argv, exit=False)
+def test_psd_onesided_norm():
+    u = np.array([0, 1, 2, 3, 1, 2, 1])
+    dt = 1.0
+    Su = np.abs(np.fft.fft(u) * dt)**2 / (dt * u.size)
+    P, f = mlab.psd(u, NFFT=u.size, Fs=1/dt, window=mlab.window_none,
+                    detrend=mlab.detrend_none, noverlap=0, pad_to=None,
+                    scale_by_freq=None,
+                    sides='onesided')
+    Su_1side = np.append([Su[0]], Su[1:4] + Su[4:][::-1])
+    assert_allclose(P, Su_1side, atol=1e-06)
+
+
+def test_psd_oversampling():
+    """Test the case len(x) < NFFT for psd()."""
+    u = np.array([0, 1, 2, 3, 1, 2, 1])
+    dt = 1.0
+    Su = np.abs(np.fft.fft(u) * dt)**2 / (dt * u.size)
+    P, f = mlab.psd(u, NFFT=u.size*2, Fs=1/dt, window=mlab.window_none,
+                    detrend=mlab.detrend_none, noverlap=0, pad_to=None,
+                    scale_by_freq=None,
+                    sides='onesided')
+    Su_1side = np.append([Su[0]], Su[1:4] + Su[4:][::-1])
+    assert_almost_equal(np.sum(P), np.sum(Su_1side))  # same energy
diff --git a/lib/matplotlib/tests/test_multivariate_colormaps.py b/lib/matplotlib/tests/test_multivariate_colormaps.py
new file mode 100644
index 000000000000..81a2e6adeb35
--- /dev/null
+++ b/lib/matplotlib/tests/test_multivariate_colormaps.py
@@ -0,0 +1,564 @@
+import numpy as np
+from numpy.testing import assert_array_equal, assert_allclose
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import (image_comparison,
+                                           remove_ticks_and_titles)
+import matplotlib as mpl
+import pytest
+from pathlib import Path
+from io import BytesIO
+from PIL import Image
+import base64
+
+
+@image_comparison(["bivariate_cmap_shapes.png"])
+def test_bivariate_cmap_shapes():
+    x_0 = np.repeat(np.linspace(-0.1, 1.1, 10, dtype='float32')[None, :], 10, axis=0)
+    x_1 = x_0.T
+
+    fig, axes = plt.subplots(1, 4, figsize=(10, 2))
+
+    # shape = 'square'
+    cmap = mpl.bivar_colormaps['BiPeak']
+    axes[0].imshow(cmap((x_0, x_1)), interpolation='nearest')
+
+    # shape = 'circle'
+    cmap = mpl.bivar_colormaps['BiCone']
+    axes[1].imshow(cmap((x_0, x_1)), interpolation='nearest')
+
+    # shape = 'ignore'
+    cmap = mpl.bivar_colormaps['BiPeak']
+    cmap = cmap.with_extremes(shape='ignore')
+    axes[2].imshow(cmap((x_0, x_1)), interpolation='nearest')
+
+    # shape = circleignore
+    cmap = mpl.bivar_colormaps['BiCone']
+    cmap = cmap.with_extremes(shape='circleignore')
+    axes[3].imshow(cmap((x_0, x_1)), interpolation='nearest')
+    remove_ticks_and_titles(fig)
+
+
+def test_multivar_creation():
+    # test creation of a custom multivariate colorbar
+    blues = mpl.colormaps['Blues']
+    cmap = mpl.colors.MultivarColormap((blues, 'Oranges'), 'sRGB_sub')
+    y, x = np.mgrid[0:3, 0:3]/2
+    im = cmap((y, x))
+    res = np.array([[[0.96862745, 0.94509804, 0.92156863, 1],
+                     [0.96004614, 0.53504037, 0.23277201, 1],
+                     [0.46666667, 0.1372549, 0.01568627, 1]],
+                    [[0.41708574, 0.64141484, 0.75980008, 1],
+                     [0.40850442, 0.23135717, 0.07100346, 1],
+                     [0, 0, 0, 1]],
+                    [[0.03137255, 0.14901961, 0.34117647, 1],
+                     [0.02279123, 0, 0, 1],
+                     [0, 0, 0, 1]]])
+    assert_allclose(im,  res, atol=0.01)
+
+    with pytest.raises(ValueError, match="colormaps must be a list of"):
+        cmap = mpl.colors.MultivarColormap((blues, [blues]), 'sRGB_sub')
+    with pytest.raises(ValueError, match="A MultivarColormap must"):
+        cmap = mpl.colors.MultivarColormap('blues', 'sRGB_sub')
+    with pytest.raises(ValueError, match="A MultivarColormap must"):
+        cmap = mpl.colors.MultivarColormap((blues), 'sRGB_sub')
+
+
+@image_comparison(["multivar_alpha_mixing.png"])
+def test_multivar_alpha_mixing():
+    # test creation of a custom colormap using 'rainbow'
+    # and a colormap that goes from alpha = 1 to alpha = 0
+    rainbow = mpl.colormaps['rainbow']
+    alpha = np.zeros((256, 4))
+    alpha[:, 3] = np.linspace(1, 0, 256)
+    alpha_cmap = mpl.colors.LinearSegmentedColormap.from_list('from_list', alpha)
+
+    cmap = mpl.colors.MultivarColormap((rainbow, alpha_cmap), 'sRGB_add')
+    y, x = np.mgrid[0:10, 0:10]/9
+    im = cmap((y, x))
+
+    fig, ax = plt.subplots()
+    ax.imshow(im, interpolation='nearest')
+    remove_ticks_and_titles(fig)
+
+
+def test_multivar_cmap_call():
+    cmap = mpl.multivar_colormaps['2VarAddA']
+    assert_array_equal(cmap((0.0, 0.0)), (0, 0, 0, 1))
+    assert_array_equal(cmap((1.0, 1.0)), (1, 1, 1, 1))
+    assert_allclose(cmap((0.0, 0.0), alpha=0.1), (0, 0, 0, 0.1), atol=0.1)
+
+    cmap = mpl.multivar_colormaps['2VarSubA']
+    assert_array_equal(cmap((0.0, 0.0)), (1, 1, 1, 1))
+    assert_allclose(cmap((1.0, 1.0)), (0, 0, 0, 1), atol=0.1)
+
+    # check outside and bad
+    cs = cmap([(0., 0., 0., 1.2, np.nan), (0., 1.2, np.nan, 0., 0., )])
+    assert_allclose(cs, [[1., 1., 1., 1.],
+                         [0.801, 0.426, 0.119, 1.],
+                         [0., 0., 0., 0.],
+                         [0.199, 0.574, 0.881, 1.],
+                         [0., 0., 0., 0.]])
+
+    assert_array_equal(cmap((0.0, 0.0), bytes=True), (255, 255, 255, 255))
+
+    with pytest.raises(ValueError, match="alpha is array-like but its shape"):
+        cs = cmap([(0, 5, 9), (0, 0, 0)], alpha=(0.5, 0.3))
+
+    with pytest.raises(ValueError, match="For the selected colormap the data"):
+        cs = cmap([(0, 5, 9), (0, 0, 0), (0, 0, 0)])
+
+    with pytest.raises(ValueError, match="clip cannot be false"):
+        cs = cmap([(0, 5, 9), (0, 0, 0)], bytes=True, clip=False)
+    # Tests calling a multivariate colormap with integer values
+    cmap = mpl.multivar_colormaps['2VarSubA']
+
+    # call only integers
+    cs = cmap([(0, 50, 100, 0, 0, 300), (0, 0, 0, 50, 100, 300)])
+    res = np.array([[1, 1, 1, 1],
+                     [0.85176471, 0.91029412, 0.96023529, 1],
+                     [0.70452941, 0.82764706, 0.93358824, 1],
+                     [0.94358824, 0.88505882, 0.83511765, 1],
+                     [0.89729412, 0.77417647, 0.66823529, 1],
+                     [0, 0, 0, 1]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # call only integers, wrong byte order
+    swapped_dt = np.dtype(int).newbyteorder()
+    cs = cmap([np.array([0, 50, 100, 0, 0, 300], dtype=swapped_dt),
+               np.array([0, 0, 0, 50, 100, 300], dtype=swapped_dt)])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # call mix floats integers
+    # check calling with bytes = True
+    cs = cmap([(0, 50, 100, 0, 0, 300), (0, 0, 0, 50, 100, 300)], bytes=True)
+    res = np.array([[255, 255, 255, 255],
+                     [217, 232, 244, 255],
+                     [179, 211, 238, 255],
+                     [240, 225, 212, 255],
+                     [228, 197, 170, 255],
+                     [0,   0,   0, 255]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    cs = cmap([(0, 50, 100, 0, 0, 300), (0, 0, 0, 50, 100, 300)], alpha=0.5)
+    res = np.array([[1, 1, 1, 0.5],
+                     [0.85176471, 0.91029412, 0.96023529, 0.5],
+                     [0.70452941, 0.82764706, 0.93358824, 0.5],
+                     [0.94358824, 0.88505882, 0.83511765, 0.5],
+                     [0.89729412, 0.77417647, 0.66823529, 0.5],
+                     [0, 0, 0, 0.5]])
+    assert_allclose(cs,  res, atol=0.01)
+    # call with tuple
+    assert_allclose(cmap((100, 120), bytes=True, alpha=0.5),
+                    [149, 142, 136, 127], atol=0.01)
+
+    # alpha and bytes
+    cs = cmap([(0, 5, 9, 0, 0, 10), (0, 0, 0, 5, 11, 12)], bytes=True, alpha=0.5)
+    res = np.array([[0, 0, 255, 127],
+                    [141, 0, 255, 127],
+                    [255, 0, 255, 127],
+                    [0, 115, 255, 127],
+                    [0, 255, 255, 127],
+                    [255, 255, 255, 127]])
+
+    # bad alpha shape
+    with pytest.raises(ValueError, match="alpha is array-like but its shape"):
+        cs = cmap([(0, 5, 9), (0, 0, 0)], bytes=True, alpha=(0.5, 0.3))
+
+    cmap = cmap.with_extremes(bad=(1, 1, 1, 1))
+    cs = cmap([(0., 1.1, np.nan), (0., 1.2, 1.)])
+    res = np.array([[1., 1., 1., 1.],
+                   [0., 0., 0., 1.],
+                   [1., 1., 1., 1.]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # call outside with tuple
+    assert_allclose(cmap((300, 300), bytes=True, alpha=0.5),
+                    [0, 0, 0, 127], atol=0.01)
+    with pytest.raises(ValueError,
+                       match="For the selected colormap the data must have"):
+        cs = cmap((0, 5, 9))
+
+    # test over/under
+    cmap = mpl.multivar_colormaps['2VarAddA']
+    with pytest.raises(ValueError, match='i.e. be of length 2'):
+        cmap.with_extremes(over=0)
+    with pytest.raises(ValueError, match='i.e. be of length 2'):
+        cmap.with_extremes(under=0)
+
+    cmap = cmap.with_extremes(under=[(0, 0, 0, 0)]*2)
+    assert_allclose((0, 0, 0, 0), cmap((-1., 0)), atol=1e-2)
+    cmap = cmap.with_extremes(over=[(0, 0, 0, 0)]*2)
+    assert_allclose((0, 0, 0, 0), cmap((2., 0)), atol=1e-2)
+
+
+def test_multivar_bad_mode():
+    cmap = mpl.multivar_colormaps['2VarSubA']
+    with pytest.raises(ValueError, match="is not a valid value for"):
+        cmap = mpl.colors.MultivarColormap(cmap[:], 'bad')
+
+
+def test_multivar_resample():
+    cmap = mpl.multivar_colormaps['3VarAddA']
+    cmap_resampled = cmap.resampled((None, 10, 3))
+
+    assert_allclose(cmap_resampled[1](0.25), (0.093, 0.116, 0.059, 1.0))
+    assert_allclose(cmap_resampled((0, 0.25, 0)), (0.093, 0.116, 0.059, 1.0))
+    assert_allclose(cmap_resampled((1, 0.25, 1)), (0.417271, 0.264624, 0.274976, 1.),
+                                   atol=0.01)
+
+    with pytest.raises(ValueError, match="lutshape must be of length"):
+        cmap = cmap.resampled(4)
+
+
+def test_bivar_cmap_call_tuple():
+    cmap = mpl.bivar_colormaps['BiOrangeBlue']
+    assert_allclose(cmap((1.0, 1.0)), (1, 1, 1, 1), atol=0.01)
+    assert_allclose(cmap((0.0, 0.0)), (0, 0, 0, 1), atol=0.1)
+    assert_allclose(cmap((0.0, 0.0), alpha=0.1), (0, 0, 0, 0.1), atol=0.1)
+
+
+def test_bivar_cmap_call():
+    """
+    Tests calling a bivariate colormap with integer values
+    """
+    im = np.ones((10, 12, 4))
+    im[:, :, 0] = np.linspace(0, 1, 10)[:, np.newaxis]
+    im[:, :, 1] = np.linspace(0, 1, 12)[np.newaxis, :]
+    cmap = mpl.colors.BivarColormapFromImage(im)
+
+    # call only integers
+    cs = cmap([(0, 5, 9, 0, 0, 10), (0, 0, 0, 5, 11, 12)])
+    res = np.array([[0, 0, 1, 1],
+                   [0.556, 0, 1, 1],
+                   [1, 0, 1, 1],
+                   [0, 0.454, 1, 1],
+                   [0, 1, 1, 1],
+                   [1, 1, 1, 1]])
+    assert_allclose(cs,  res, atol=0.01)
+    # call only integers, wrong byte order
+    swapped_dt = np.dtype(int).newbyteorder()
+    cs = cmap([np.array([0, 5, 9, 0, 0, 10], dtype=swapped_dt),
+               np.array([0, 0, 0, 5, 11, 12], dtype=swapped_dt)])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # call mix floats integers
+    cmap = cmap.with_extremes(outside=(1, 0, 0, 0))
+    cs = cmap([(0.5, 0), (0, 3)])
+    res = np.array([[0.555, 0, 1, 1],
+                    [0, 0.2727, 1, 1]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # check calling with bytes = True
+    cs = cmap([(0, 5, 9, 0, 0, 10), (0, 0, 0, 5, 11, 12)], bytes=True)
+    res = np.array([[0, 0, 255, 255],
+                    [141, 0, 255, 255],
+                    [255, 0, 255, 255],
+                    [0, 115, 255, 255],
+                    [0, 255, 255, 255],
+                    [255, 255, 255, 255]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    # test alpha
+    cs = cmap([(0, 5, 9, 0, 0, 10), (0, 0, 0, 5, 11, 12)], alpha=0.5)
+    res = np.array([[0, 0, 1, 0.5],
+                    [0.556, 0, 1, 0.5],
+                    [1, 0, 1, 0.5],
+                    [0, 0.454, 1, 0.5],
+                    [0, 1, 1, 0.5],
+                    [1, 1, 1, 0.5]])
+    assert_allclose(cs,  res, atol=0.01)
+    # call with tuple
+    assert_allclose(cmap((10, 12), bytes=True, alpha=0.5),
+                    [255, 255, 255, 127], atol=0.01)
+
+    # alpha and bytes
+    cs = cmap([(0, 5, 9, 0, 0, 10), (0, 0, 0, 5, 11, 12)], bytes=True, alpha=0.5)
+    res = np.array([[0, 0, 255, 127],
+                    [141, 0, 255, 127],
+                    [255, 0, 255, 127],
+                    [0, 115, 255, 127],
+                    [0, 255, 255, 127],
+                    [255, 255, 255, 127]])
+
+    # bad alpha shape
+    with pytest.raises(ValueError, match="alpha is array-like but its shape"):
+        cs = cmap([(0, 5, 9), (0, 0, 0)], bytes=True, alpha=(0.5, 0.3))
+
+    # set shape to 'ignore'.
+    # final point is outside colormap and should then receive
+    # the 'outside' (in this case [1,0,0,0])
+    # also test 'bad' (in this case [1,1,1,0])
+    cmap = cmap.with_extremes(outside=(1, 0, 0, 0), bad=(1, 1, 1, 0), shape='ignore')
+    cs = cmap([(0., 1.1, np.nan), (0., 1.2, 1.)])
+    res = np.array([[0, 0, 1, 1],
+                    [1, 0, 0, 0],
+                    [1, 1, 1, 0]])
+    assert_allclose(cs,  res, atol=0.01)
+    # call outside with tuple
+    assert_allclose(cmap((10, 12), bytes=True, alpha=0.5),
+                    [255, 0, 0, 127], atol=0.01)
+    # with integers
+    cs = cmap([(0, 10), (0, 12)])
+    res = np.array([[0, 0, 1, 1],
+                    [1, 0, 0, 0]])
+    assert_allclose(cs,  res, atol=0.01)
+
+    with pytest.raises(ValueError,
+                       match="For a `BivarColormap` the data must have"):
+        cs = cmap((0, 5, 9))
+
+    cmap = cmap.with_extremes(shape='circle')
+    with pytest.raises(NotImplementedError,
+                       match="only implemented for use with with floats"):
+        cs = cmap([(0, 5, 9, 0, 0, 9), (0, 0, 0, 5, 11, 11)])
+
+    # test origin
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].with_extremes(origin=(0.5, 0.5))
+    assert_allclose(cmap[0](0.5),
+                    (0.50244140625, 0.5024222412109375, 0.50244140625, 1))
+    assert_allclose(cmap[1](0.5),
+                    (0.50244140625, 0.5024222412109375, 0.50244140625, 1))
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].with_extremes(origin=(1, 1))
+    assert_allclose(cmap[0](1.),
+                    (0.99853515625, 0.9985467529296875, 0.99853515625, 1.0))
+    assert_allclose(cmap[1](1.),
+                    (0.99853515625, 0.9985467529296875, 0.99853515625, 1.0))
+    with pytest.raises(KeyError,
+                       match="only 0 or 1 are valid keys"):
+        cs = cmap[2]
+
+
+def test_bivar_getitem():
+    """Test __getitem__  on BivarColormap"""
+    xA = ([.0, .25, .5, .75, 1., -1, 2], [.5]*7)
+    xB = ([.5]*7, [.0, .25, .5, .75, 1., -1, 2])
+
+    cmaps = mpl.bivar_colormaps['BiPeak']
+    assert_array_equal(cmaps(xA), cmaps[0](xA[0]))
+    assert_array_equal(cmaps(xB), cmaps[1](xB[1]))
+
+    cmaps = cmaps.with_extremes(shape='ignore')
+    assert_array_equal(cmaps(xA), cmaps[0](xA[0]))
+    assert_array_equal(cmaps(xB), cmaps[1](xB[1]))
+
+    xA = ([.0, .25, .5, .75, 1., -1, 2], [.0]*7)
+    xB = ([.0]*7, [.0, .25, .5, .75, 1., -1, 2])
+    cmaps = mpl.bivar_colormaps['BiOrangeBlue']
+    assert_array_equal(cmaps(xA), cmaps[0](xA[0]))
+    assert_array_equal(cmaps(xB), cmaps[1](xB[1]))
+
+    cmaps = cmaps.with_extremes(shape='ignore')
+    assert_array_equal(cmaps(xA), cmaps[0](xA[0]))
+    assert_array_equal(cmaps(xB), cmaps[1](xB[1]))
+
+
+def test_bivar_cmap_bad_shape():
+    """
+    Tests calling a bivariate colormap with integer values
+    """
+    cmap = mpl.bivar_colormaps['BiCone']
+    _ = cmap.lut
+    with pytest.raises(ValueError,
+                       match="is not a valid value for shape"):
+        cmap.with_extremes(shape='bad_shape')
+
+    with pytest.raises(ValueError,
+                       match="is not a valid value for shape"):
+        mpl.colors.BivarColormapFromImage(np.ones((3, 3, 4)),
+                                          shape='bad_shape')
+
+
+def test_bivar_cmap_bad_lut():
+    """
+    Tests calling a bivariate colormap with integer values
+    """
+    with pytest.raises(ValueError,
+                       match="The lut must be an array of shape"):
+        cmap = mpl.colors.BivarColormapFromImage(np.ones((3, 3, 5)))
+
+
+def test_bivar_cmap_from_image():
+    """
+    This tests the creation and use of a bivariate colormap
+    generated from an image
+    """
+
+    data_0 = np.arange(6).reshape((2, 3))/5
+    data_1 = np.arange(6).reshape((3, 2)).T/5
+
+    # bivariate colormap from array
+    cim = np.ones((10, 12, 3))
+    cim[:, :, 0] = np.arange(10)[:, np.newaxis]/10
+    cim[:, :, 1] = np.arange(12)[np.newaxis, :]/12
+
+    cmap = mpl.colors.BivarColormapFromImage(cim)
+    im = cmap((data_0, data_1))
+    res = np.array([[[0, 0, 1, 1],
+                    [0.2, 0.33333333, 1, 1],
+                    [0.4, 0.75, 1, 1]],
+                   [[0.6, 0.16666667, 1, 1],
+                    [0.8, 0.58333333, 1, 1],
+                    [0.9, 0.91666667, 1, 1]]])
+    assert_allclose(im,  res, atol=0.01)
+
+    # input as unit8
+    cim = np.ones((10, 12, 3))*255
+    cim[:, :, 0] = np.arange(10)[:, np.newaxis]/10*255
+    cim[:, :, 1] = np.arange(12)[np.newaxis, :]/12*255
+
+    cmap = mpl.colors.BivarColormapFromImage(cim.astype(np.uint8))
+    im = cmap((data_0, data_1))
+    res = np.array([[[0, 0, 1, 1],
+                    [0.2, 0.33333333, 1, 1],
+                    [0.4, 0.75, 1, 1]],
+                   [[0.6, 0.16666667, 1, 1],
+                    [0.8, 0.58333333, 1, 1],
+                    [0.9, 0.91666667, 1, 1]]])
+    assert_allclose(im,  res, atol=0.01)
+
+    # bivariate colormap from array
+    png_path = Path(__file__).parent / "baseline_images/pngsuite/basn2c16.png"
+    cim = Image.open(png_path)
+    cim = np.asarray(cim.convert('RGBA'))
+
+    cmap = mpl.colors.BivarColormapFromImage(cim)
+    im = cmap((data_0, data_1), bytes=True)
+    res = np.array([[[255, 255,   0, 255],
+                     [156, 206,   0, 255],
+                     [49, 156,  49, 255]],
+                    [[206,  99,   0, 255],
+                     [99,  49, 107, 255],
+                     [0,   0, 255, 255]]])
+    assert_allclose(im,  res, atol=0.01)
+
+
+def test_bivar_resample():
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].resampled((2, 2))
+    assert_allclose(cmap((0.25, 0.25)), (0, 0, 0, 1), atol=1e-2)
+
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].resampled((-2, 2))
+    assert_allclose(cmap((0.25, 0.25)), (1., 0.5, 0., 1.), atol=1e-2)
+
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].resampled((2, -2))
+    assert_allclose(cmap((0.25, 0.25)), (0., 0.5, 1., 1.), atol=1e-2)
+
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].resampled((-2, -2))
+    assert_allclose(cmap((0.25, 0.25)), (1, 1, 1, 1), atol=1e-2)
+
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].reversed()
+    assert_allclose(cmap((0.25, 0.25)), (0.748535, 0.748547, 0.748535, 1.), atol=1e-2)
+    cmap = mpl.bivar_colormaps['BiOrangeBlue'].transposed()
+    assert_allclose(cmap((0.25, 0.25)), (0.252441, 0.252422, 0.252441, 1.), atol=1e-2)
+
+    with pytest.raises(ValueError, match="lutshape must be of length"):
+        cmap = cmap.resampled(4)
+
+
+def test_bivariate_repr_png():
+    cmap = mpl.bivar_colormaps['BiCone']
+    png = cmap._repr_png_()
+    assert len(png) > 0
+    img = Image.open(BytesIO(png))
+    assert img.width > 0
+    assert img.height > 0
+    assert 'Title' in img.text
+    assert 'Description' in img.text
+    assert 'Author' in img.text
+    assert 'Software' in img.text
+
+
+def test_bivariate_repr_html():
+    cmap = mpl.bivar_colormaps['BiCone']
+    html = cmap._repr_html_()
+    assert len(html) > 0
+    png = cmap._repr_png_()
+    assert base64.b64encode(png).decode('ascii') in html
+    assert cmap.name in html
+    assert html.startswith('<div')
+    assert html.endswith('</div>')
+
+
+def test_multivariate_repr_png():
+    cmap = mpl.multivar_colormaps['3VarAddA']
+    png = cmap._repr_png_()
+    assert len(png) > 0
+    img = Image.open(BytesIO(png))
+    assert img.width > 0
+    assert img.height > 0
+    assert 'Title' in img.text
+    assert 'Description' in img.text
+    assert 'Author' in img.text
+    assert 'Software' in img.text
+
+
+def test_multivariate_repr_html():
+    cmap = mpl.multivar_colormaps['3VarAddA']
+    html = cmap._repr_html_()
+    assert len(html) > 0
+    for c in cmap:
+        png = c._repr_png_()
+        assert base64.b64encode(png).decode('ascii') in html
+    assert cmap.name in html
+    assert html.startswith('<div')
+    assert html.endswith('</div>')
+
+
+def test_bivar_eq():
+    """
+    Tests equality between multivariate colormaps
+    """
+    cmap_0 = mpl.bivar_colormaps['BiPeak']
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    assert (cmap_0 == cmap_1) is True
+
+    cmap_1 = mpl.multivar_colormaps['2VarAddA']
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.bivar_colormaps['BiCone']
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    cmap_1 = cmap_1.with_extremes(bad='k')
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    cmap_1 = cmap_1.with_extremes(outside='k')
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    cmap_1._init()
+    cmap_1._lut *= 0.5
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    cmap_1 = cmap_1.with_extremes(shape='ignore')
+    assert (cmap_0 == cmap_1) is False
+
+
+def test_multivar_eq():
+    """
+    Tests equality between multivariate colormaps
+    """
+    cmap_0 = mpl.multivar_colormaps['2VarAddA']
+
+    cmap_1 = mpl.multivar_colormaps['2VarAddA']
+    assert (cmap_0 == cmap_1) is True
+
+    cmap_1 = mpl.bivar_colormaps['BiPeak']
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.colors.MultivarColormap([cmap_0[0]]*2,
+                                         'sRGB_add')
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.multivar_colormaps['3VarAddA']
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.multivar_colormaps['2VarAddA']
+    cmap_1 = cmap_1.with_extremes(bad='k')
+    assert (cmap_0 == cmap_1) is False
+
+    cmap_1 = mpl.multivar_colormaps['2VarAddA']
+    cmap_1 = mpl.colors.MultivarColormap(cmap_1[:], 'sRGB_sub')
+    assert (cmap_0 == cmap_1) is False
diff --git a/lib/matplotlib/tests/test_offsetbox.py b/lib/matplotlib/tests/test_offsetbox.py
new file mode 100644
index 000000000000..d9791ff5bc20
--- /dev/null
+++ b/lib/matplotlib/tests/test_offsetbox.py
@@ -0,0 +1,472 @@
+from collections import namedtuple
+import io
+
+import numpy as np
+from numpy.testing import assert_allclose
+import pytest
+
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+import matplotlib.lines as mlines
+from matplotlib.backend_bases import MouseButton, MouseEvent
+
+from matplotlib.offsetbox import (
+    AnchoredOffsetbox, AnnotationBbox, AnchoredText, DrawingArea, HPacker,
+    OffsetBox, OffsetImage, PaddedBox, TextArea, VPacker, _get_packed_offsets)
+
+
+@image_comparison(['offsetbox_clipping'], remove_text=True)
+def test_offsetbox_clipping():
+    # - create a plot
+    # - put an AnchoredOffsetbox with a child DrawingArea
+    #   at the center of the axes
+    # - give the DrawingArea a gray background
+    # - put a black line across the bounds of the DrawingArea
+    # - see that the black line is clipped to the edges of
+    #   the DrawingArea.
+    fig, ax = plt.subplots()
+    size = 100
+    da = DrawingArea(size, size, clip=True)
+    assert da.clip_children
+    bg = mpatches.Rectangle((0, 0), size, size,
+                            facecolor='#CCCCCC',
+                            edgecolor='None',
+                            linewidth=0)
+    line = mlines.Line2D([-size*.5, size*1.5], [size/2, size/2],
+                         color='black',
+                         linewidth=10)
+    anchored_box = AnchoredOffsetbox(
+        loc='center',
+        child=da,
+        pad=0.,
+        frameon=False,
+        bbox_to_anchor=(.5, .5),
+        bbox_transform=ax.transAxes,
+        borderpad=0.)
+
+    da.add_artist(bg)
+    da.add_artist(line)
+    ax.add_artist(anchored_box)
+    ax.set_xlim((0, 1))
+    ax.set_ylim((0, 1))
+
+
+def test_offsetbox_clip_children():
+    # - create a plot
+    # - put an AnchoredOffsetbox with a child DrawingArea
+    #   at the center of the axes
+    # - give the DrawingArea a gray background
+    # - put a black line across the bounds of the DrawingArea
+    # - see that the black line is clipped to the edges of
+    #   the DrawingArea.
+    fig, ax = plt.subplots()
+    size = 100
+    da = DrawingArea(size, size, clip=True)
+    bg = mpatches.Rectangle((0, 0), size, size,
+                            facecolor='#CCCCCC',
+                            edgecolor='None',
+                            linewidth=0)
+    line = mlines.Line2D([-size*.5, size*1.5], [size/2, size/2],
+                         color='black',
+                         linewidth=10)
+    anchored_box = AnchoredOffsetbox(
+        loc='center',
+        child=da,
+        pad=0.,
+        frameon=False,
+        bbox_to_anchor=(.5, .5),
+        bbox_transform=ax.transAxes,
+        borderpad=0.)
+
+    da.add_artist(bg)
+    da.add_artist(line)
+    ax.add_artist(anchored_box)
+
+    fig.canvas.draw()
+    assert not fig.stale
+    da.clip_children = True
+    assert fig.stale
+
+
+def test_offsetbox_loc_codes():
+    # Check that valid string location codes all work with an AnchoredOffsetbox
+    codes = {'upper right': 1,
+             'upper left': 2,
+             'lower left': 3,
+             'lower right': 4,
+             'right': 5,
+             'center left': 6,
+             'center right': 7,
+             'lower center': 8,
+             'upper center': 9,
+             'center': 10,
+             }
+    fig, ax = plt.subplots()
+    da = DrawingArea(100, 100)
+    for code in codes:
+        anchored_box = AnchoredOffsetbox(loc=code, child=da)
+        ax.add_artist(anchored_box)
+    fig.canvas.draw()
+
+
+def test_expand_with_tight_layout():
+    # Check issue reported in #10476, and updated due to #10784
+    fig, ax = plt.subplots()
+
+    d1 = [1, 2]
+    d2 = [2, 1]
+    ax.plot(d1, label='series 1')
+    ax.plot(d2, label='series 2')
+    ax.legend(ncols=2, mode='expand')
+
+    fig.tight_layout()  # where the crash used to happen
+
+
+@pytest.mark.parametrize('widths',
+                         ([150], [150, 150, 150], [0.1], [0.1, 0.1]))
+@pytest.mark.parametrize('total', (250, 100, 0, -1, None))
+@pytest.mark.parametrize('sep', (250, 1, 0, -1))
+@pytest.mark.parametrize('mode', ("expand", "fixed", "equal"))
+def test_get_packed_offsets(widths, total, sep, mode):
+    # Check a (rather arbitrary) set of parameters due to successive similar
+    # issue tickets (at least #10476 and #10784) related to corner cases
+    # triggered inside this function when calling higher-level functions
+    # (e.g. `Axes.legend`).
+    # These are just some additional smoke tests. The output is untested.
+    _get_packed_offsets(widths, total, sep, mode=mode)
+
+
+_Params = namedtuple('_Params', 'wd_list, total, sep, expected')
+
+
+@pytest.mark.parametrize('widths, total, sep, expected', [
+    _Params(  # total=None
+        [3, 1, 2], total=None, sep=1, expected=(8, [0, 4, 6])),
+    _Params(  # total larger than required
+        [3, 1, 2], total=10, sep=1, expected=(10, [0, 4, 6])),
+    _Params(  # total smaller than required
+        [3, 1, 2], total=5, sep=1, expected=(5, [0, 4, 6])),
+])
+def test_get_packed_offsets_fixed(widths, total, sep, expected):
+    result = _get_packed_offsets(widths, total, sep, mode='fixed')
+    assert result[0] == expected[0]
+    assert_allclose(result[1], expected[1])
+
+
+@pytest.mark.parametrize('widths, total, sep, expected', [
+    _Params(  # total=None (implicit 1)
+        [.1, .1, .1], total=None, sep=None, expected=(1, [0, .45, .9])),
+    _Params(  # total larger than sum of widths
+        [3, 1, 2], total=10, sep=1, expected=(10, [0, 5, 8])),
+    _Params(  # total smaller sum of widths: overlapping boxes
+        [3, 1, 2], total=5, sep=1, expected=(5, [0, 2.5, 3])),
+])
+def test_get_packed_offsets_expand(widths, total, sep, expected):
+    result = _get_packed_offsets(widths, total, sep, mode='expand')
+    assert result[0] == expected[0]
+    assert_allclose(result[1], expected[1])
+
+
+@pytest.mark.parametrize('widths, total, sep, expected', [
+    _Params(  # total larger than required
+        [3, 2, 1], total=6, sep=None, expected=(6, [0, 2, 4])),
+    _Params(  # total smaller sum of widths: overlapping boxes
+        [3, 2, 1, .5], total=2, sep=None, expected=(2, [0, 0.5, 1, 1.5])),
+    _Params(  # total larger than required
+        [.5, 1, .2], total=None, sep=1, expected=(6, [0, 2, 4])),
+    # the case total=None, sep=None is tested separately below
+])
+def test_get_packed_offsets_equal(widths, total, sep, expected):
+    result = _get_packed_offsets(widths, total, sep, mode='equal')
+    assert result[0] == expected[0]
+    assert_allclose(result[1], expected[1])
+
+
+def test_get_packed_offsets_equal_total_none_sep_none():
+    with pytest.raises(ValueError):
+        _get_packed_offsets([1, 1, 1], total=None, sep=None, mode='equal')
+
+
+@pytest.mark.parametrize('child_type', ['draw', 'image', 'text'])
+@pytest.mark.parametrize('boxcoords',
+                         ['axes fraction', 'axes pixels', 'axes points',
+                          'data'])
+def test_picking(child_type, boxcoords):
+    # These all take up approximately the same area.
+    if child_type == 'draw':
+        picking_child = DrawingArea(5, 5)
+        picking_child.add_artist(mpatches.Rectangle((0, 0), 5, 5, linewidth=0))
+    elif child_type == 'image':
+        im = np.ones((5, 5))
+        im[2, 2] = 0
+        picking_child = OffsetImage(im)
+    elif child_type == 'text':
+        picking_child = TextArea('\N{Black Square}', textprops={'fontsize': 5})
+    else:
+        assert False, f'Unknown picking child type {child_type}'
+
+    fig, ax = plt.subplots()
+    ab = AnnotationBbox(picking_child, (0.5, 0.5), boxcoords=boxcoords)
+    ab.set_picker(True)
+    ax.add_artist(ab)
+
+    calls = []
+    fig.canvas.mpl_connect('pick_event', lambda event: calls.append(event))
+
+    # Annotation should be picked by an event occurring at its center.
+    if boxcoords == 'axes points':
+        x, y = ax.transAxes.transform_point((0, 0))
+        x += 0.5 * fig.dpi / 72
+        y += 0.5 * fig.dpi / 72
+    elif boxcoords == 'axes pixels':
+        x, y = ax.transAxes.transform_point((0, 0))
+        x += 0.5
+        y += 0.5
+    else:
+        x, y = ax.transAxes.transform_point((0.5, 0.5))
+    fig.canvas.draw()
+    calls.clear()
+    MouseEvent(
+        "button_press_event", fig.canvas, x, y, MouseButton.LEFT)._process()
+    assert len(calls) == 1 and calls[0].artist == ab
+
+    # Annotation should *not* be picked by an event at its original center
+    # point when the limits have changed enough to hide the *xy* point.
+    ax.set_xlim(-1, 0)
+    ax.set_ylim(-1, 0)
+    fig.canvas.draw()
+    calls.clear()
+    MouseEvent(
+        "button_press_event", fig.canvas, x, y, MouseButton.LEFT)._process()
+    assert len(calls) == 0
+
+
+@image_comparison(['anchoredtext_align.png'], remove_text=True, style='mpl20')
+def test_anchoredtext_horizontal_alignment():
+    fig, ax = plt.subplots()
+
+    text0 = AnchoredText("test\ntest long text", loc="center left",
+                         pad=0.2, prop={"ha": "left"})
+    ax.add_artist(text0)
+    text1 = AnchoredText("test\ntest long text", loc="center",
+                         pad=0.2, prop={"ha": "center"})
+    ax.add_artist(text1)
+    text2 = AnchoredText("test\ntest long text", loc="center right",
+                         pad=0.2, prop={"ha": "right"})
+    ax.add_artist(text2)
+
+
+@pytest.mark.parametrize("extent_kind", ["window_extent", "tightbbox"])
+def test_annotationbbox_extents(extent_kind):
+    plt.rcParams.update(plt.rcParamsDefault)
+    fig, ax = plt.subplots(figsize=(4, 3), dpi=100)
+
+    ax.axis([0, 1, 0, 1])
+
+    an1 = ax.annotate("Annotation", xy=(.9, .9), xytext=(1.1, 1.1),
+                      arrowprops=dict(arrowstyle="->"), clip_on=False,
+                      va="baseline", ha="left")
+
+    da = DrawingArea(20, 20, 0, 0, clip=True)
+    p = mpatches.Circle((-10, 30), 32)
+    da.add_artist(p)
+
+    ab3 = AnnotationBbox(da, [.5, .5], xybox=(-0.2, 0.5), xycoords='data',
+                         boxcoords="axes fraction", box_alignment=(0., .5),
+                         arrowprops=dict(arrowstyle="->"))
+    ax.add_artist(ab3)
+
+    im = OffsetImage(np.random.rand(10, 10), zoom=3)
+    im.image.axes = ax
+    ab6 = AnnotationBbox(im, (0.5, -.3), xybox=(0, 75),
+                         xycoords='axes fraction',
+                         boxcoords="offset points", pad=0.3,
+                         arrowprops=dict(arrowstyle="->"))
+    ax.add_artist(ab6)
+
+    # Test Annotation
+    bb1 = getattr(an1, f"get_{extent_kind}")()
+
+    target1 = [332.9, 242.8, 467.0, 298.9]
+    assert_allclose(bb1.extents, target1, atol=2)
+
+    # Test AnnotationBbox
+    bb3 = getattr(ab3, f"get_{extent_kind}")()
+
+    target3 = [-17.6, 129.0, 200.7, 167.9]
+    assert_allclose(bb3.extents, target3, atol=2)
+
+    bb6 = getattr(ab6, f"get_{extent_kind}")()
+
+    target6 = [180.0, -32.0, 230.0, 92.9]
+    assert_allclose(bb6.extents, target6, atol=2)
+
+    # Test bbox_inches='tight'
+    buf = io.BytesIO()
+    fig.savefig(buf, bbox_inches='tight')
+    buf.seek(0)
+    shape = plt.imread(buf).shape
+    targetshape = (350, 504, 4)
+    assert_allclose(shape, targetshape, atol=2)
+
+    # Simple smoke test for tight_layout, to make sure it does not error out.
+    fig.canvas.draw()
+    fig.tight_layout()
+    fig.canvas.draw()
+
+
+def test_zorder():
+    assert OffsetBox(zorder=42).zorder == 42
+
+
+def test_arrowprops_copied():
+    da = DrawingArea(20, 20, 0, 0, clip=True)
+    arrowprops = {"arrowstyle": "->", "relpos": (.3, .7)}
+    ab = AnnotationBbox(da, [.5, .5], xybox=(-0.2, 0.5), xycoords='data',
+                        boxcoords="axes fraction", box_alignment=(0., .5),
+                        arrowprops=arrowprops)
+    assert ab.arrowprops is not ab
+    assert arrowprops["relpos"] == (.3, .7)
+
+
+@pytest.mark.parametrize("align", ["baseline", "bottom", "top",
+                                   "left", "right", "center"])
+def test_packers(align):
+    # set the DPI to match points to make the math easier below
+    fig = plt.figure(dpi=72)
+    renderer = fig.canvas.get_renderer()
+
+    x1, y1 = 10, 30
+    x2, y2 = 20, 60
+    r1 = DrawingArea(x1, y1)
+    r2 = DrawingArea(x2, y2)
+
+    # HPacker
+    hpacker = HPacker(children=[r1, r2], align=align)
+    hpacker.draw(renderer)
+    bbox = hpacker.get_bbox(renderer)
+    px, py = hpacker.get_offset(bbox, renderer)
+    # width, height, xdescent, ydescent
+    assert_allclose(bbox.bounds, (0, 0, x1 + x2, max(y1, y2)))
+    # internal element placement
+    if align in ("baseline", "left", "bottom"):
+        y_height = 0
+    elif align in ("right", "top"):
+        y_height = y2 - y1
+    elif align == "center":
+        y_height = (y2 - y1) / 2
+    # x-offsets, y-offsets
+    assert_allclose([child.get_offset() for child in hpacker.get_children()],
+                    [(px, py + y_height), (px + x1, py)])
+
+    # VPacker
+    vpacker = VPacker(children=[r1, r2], align=align)
+    vpacker.draw(renderer)
+    bbox = vpacker.get_bbox(renderer)
+    px, py = vpacker.get_offset(bbox, renderer)
+    # width, height, xdescent, ydescent
+    assert_allclose(bbox.bounds, (0, -max(y1, y2), max(x1, x2), y1 + y2))
+    # internal element placement
+    if align in ("baseline", "left", "bottom"):
+        x_height = 0
+    elif align in ("right", "top"):
+        x_height = x2 - x1
+    elif align == "center":
+        x_height = (x2 - x1) / 2
+    # x-offsets, y-offsets
+    assert_allclose([child.get_offset() for child in vpacker.get_children()],
+                    [(px + x_height, py), (px, py - y2)])
+
+
+def test_paddedbox_default_values():
+    # smoke test paddedbox for correct default value
+    fig, ax = plt.subplots()
+    at = AnchoredText("foo",  'upper left')
+    pb = PaddedBox(at, patch_attrs={'facecolor': 'r'}, draw_frame=True)
+    ax.add_artist(pb)
+    fig.draw_without_rendering()
+
+
+def test_annotationbbox_properties():
+    ab = AnnotationBbox(DrawingArea(20, 20, 0, 0, clip=True), (0.5, 0.5),
+                        xycoords='data')
+    assert ab.xyann == (0.5, 0.5)  # xy if xybox not given
+    assert ab.anncoords == 'data'  # xycoords if boxcoords not given
+
+    ab = AnnotationBbox(DrawingArea(20, 20, 0, 0, clip=True), (0.5, 0.5),
+                        xybox=(-0.2, 0.4), xycoords='data',
+                        boxcoords='axes fraction')
+    assert ab.xyann == (-0.2, 0.4)  # xybox if given
+    assert ab.anncoords == 'axes fraction'  # boxcoords if given
+
+
+def test_textarea_properties():
+    ta = TextArea('Foo')
+    assert ta.get_text() == 'Foo'
+    assert not ta.get_multilinebaseline()
+
+    ta.set_text('Bar')
+    ta.set_multilinebaseline(True)
+    assert ta.get_text() == 'Bar'
+    assert ta.get_multilinebaseline()
+
+
+@check_figures_equal()
+def test_textarea_set_text(fig_test, fig_ref):
+    ax_ref = fig_ref.add_subplot()
+    text0 = AnchoredText("Foo", "upper left")
+    ax_ref.add_artist(text0)
+
+    ax_test = fig_test.add_subplot()
+    text1 = AnchoredText("Bar", "upper left")
+    ax_test.add_artist(text1)
+    text1.txt.set_text("Foo")
+
+
+@image_comparison(['paddedbox.png'], remove_text=True, style='mpl20')
+def test_paddedbox():
+    fig, ax = plt.subplots()
+
+    ta = TextArea("foo")
+    pb = PaddedBox(ta, pad=5, patch_attrs={'facecolor': 'r'}, draw_frame=True)
+    ab = AnchoredOffsetbox('upper left', child=pb)
+    ax.add_artist(ab)
+
+    ta = TextArea("bar")
+    pb = PaddedBox(ta, pad=10, patch_attrs={'facecolor': 'b'})
+    ab = AnchoredOffsetbox('upper right', child=pb)
+    ax.add_artist(ab)
+
+    ta = TextArea("foobar")
+    pb = PaddedBox(ta, pad=15, draw_frame=True)
+    ab = AnchoredOffsetbox('lower right', child=pb)
+    ax.add_artist(ab)
+
+
+def test_remove_draggable():
+    fig, ax = plt.subplots()
+    an = ax.annotate("foo", (.5, .5))
+    an.draggable(True)
+    an.remove()
+    MouseEvent("button_release_event", fig.canvas, 1, 1)._process()
+
+
+def test_draggable_in_subfigure():
+    fig = plt.figure()
+    # Put annotation at lower left corner to make it easily pickable below.
+    ann = fig.subfigures().add_axes([0, 0, 1, 1]).annotate("foo", (0, 0))
+    ann.draggable(True)
+    fig.canvas.draw()  # Texts are non-pickable until the first draw.
+    MouseEvent("button_press_event", fig.canvas, 1, 1)._process()
+    assert ann._draggable.got_artist
+    # Stop dragging the annotation.
+    MouseEvent("button_release_event", fig.canvas, 1, 1)._process()
+    assert not ann._draggable.got_artist
+    # A scroll event should not initiate a drag.
+    MouseEvent("scroll_event", fig.canvas, 1, 1)._process()
+    assert not ann._draggable.got_artist
+    # An event outside the annotation should not initiate a drag.
+    bbox = ann.get_window_extent()
+    MouseEvent("button_press_event", fig.canvas, bbox.x1+2, bbox.y1+2)._process()
+    assert not ann._draggable.got_artist
diff --git a/lib/matplotlib/tests/test_patches.py b/lib/matplotlib/tests/test_patches.py
index 1c8549d29255..4ed9222eb95e 100644
--- a/lib/matplotlib/tests/test_patches.py
+++ b/lib/matplotlib/tests/test_patches.py
@@ -1,28 +1,25 @@
 """
 Tests specific to the patches module.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import platform
 
 import numpy as np
-from numpy.testing import assert_array_equal
-from numpy.testing import assert_equal
-from numpy.testing import assert_almost_equal
+from numpy.testing import assert_almost_equal, assert_array_equal
+import pytest
 
-from matplotlib.patches import Polygon
-from matplotlib.patches import Rectangle
-from matplotlib.testing.decorators import image_comparison
+import matplotlib as mpl
+from matplotlib.patches import (Annulus, Ellipse, Patch, Polygon, Rectangle,
+                                FancyArrowPatch, FancyArrow, BoxStyle, Arc)
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from matplotlib.transforms import Bbox
 import matplotlib.pyplot as plt
-import matplotlib.patches as mpatches
-import matplotlib.collections as mcollections
-from matplotlib import path as mpath
-from matplotlib import transforms as mtrans
+from matplotlib import (
+    collections as mcollections, colors as mcolors, patches as mpatches,
+    path as mpath, transforms as mtransforms, rcParams)
 
 
 def test_Polygon_close():
-    #: Github issue #1018 identified a bug in the Polygon handling
+    #: GitHub issue #1018 identified a bug in the Polygon handling
     #: of the closed attribute; the path was not getting closed
     #: when set_xy was used to set the vertices.
 
@@ -33,6 +30,7 @@ def test_Polygon_close():
 
     # start with open path and close it:
     p = Polygon(xy, closed=True)
+    assert p.get_closed()
     assert_array_equal(p.get_xy(), xyclosed)
     p.set_xy(xy)
     assert_array_equal(p.get_xy(), xyclosed)
@@ -45,6 +43,7 @@ def test_Polygon_close():
 
     # start with open path and leave it open:
     p = Polygon(xy, closed=False)
+    assert not p.get_closed()
     assert_array_equal(p.get_xy(), xy)
     p.set_xy(xy)
     assert_array_equal(p.get_xy(), xy)
@@ -56,6 +55,105 @@ def test_Polygon_close():
     assert_array_equal(p.get_xy(), xyclosed)
 
 
+def test_corner_center():
+    loc = [10, 20]
+    width = 1
+    height = 2
+
+    # Rectangle
+    # No rotation
+    corners = ((10, 20), (11, 20), (11, 22), (10, 22))
+    rect = Rectangle(loc, width, height)
+    assert_array_equal(rect.get_corners(), corners)
+    assert_array_equal(rect.get_center(), (10.5, 21))
+
+    # 90 deg rotation
+    corners_rot = ((10, 20), (10, 21), (8, 21), (8, 20))
+    rect.set_angle(90)
+    assert_array_equal(rect.get_corners(), corners_rot)
+    assert_array_equal(rect.get_center(), (9, 20.5))
+
+    # Rotation not a multiple of 90 deg
+    theta = 33
+    t = mtransforms.Affine2D().rotate_around(*loc, np.deg2rad(theta))
+    corners_rot = t.transform(corners)
+    rect.set_angle(theta)
+    assert_almost_equal(rect.get_corners(), corners_rot)
+
+    # Ellipse
+    loc = [loc[0] + width / 2,
+           loc[1] + height / 2]
+    ellipse = Ellipse(loc, width, height)
+
+    # No rotation
+    assert_array_equal(ellipse.get_corners(), corners)
+
+    # 90 deg rotation
+    corners_rot = ((11.5, 20.5), (11.5, 21.5), (9.5, 21.5), (9.5, 20.5))
+    ellipse.set_angle(90)
+    assert_array_equal(ellipse.get_corners(), corners_rot)
+    # Rotation shouldn't change ellipse center
+    assert_array_equal(ellipse.get_center(), loc)
+
+    # Rotation not a multiple of 90 deg
+    theta = 33
+    t = mtransforms.Affine2D().rotate_around(*loc, np.deg2rad(theta))
+    corners_rot = t.transform(corners)
+    ellipse.set_angle(theta)
+    assert_almost_equal(ellipse.get_corners(), corners_rot)
+
+
+def test_ellipse_vertices():
+    # expect 0 for 0 ellipse width, height
+    ellipse = Ellipse(xy=(0, 0), width=0, height=0, angle=0)
+    assert_almost_equal(
+        ellipse.get_vertices(),
+        [(0.0, 0.0), (0.0, 0.0)],
+    )
+    assert_almost_equal(
+        ellipse.get_co_vertices(),
+        [(0.0, 0.0), (0.0, 0.0)],
+    )
+
+    ellipse = Ellipse(xy=(0, 0), width=2, height=1, angle=30)
+    assert_almost_equal(
+        ellipse.get_vertices(),
+        [
+            (
+                ellipse.center[0] + ellipse.width / 4 * np.sqrt(3),
+                ellipse.center[1] + ellipse.width / 4,
+            ),
+            (
+                ellipse.center[0] - ellipse.width / 4 * np.sqrt(3),
+                ellipse.center[1] - ellipse.width / 4,
+            ),
+        ],
+    )
+    assert_almost_equal(
+        ellipse.get_co_vertices(),
+        [
+            (
+                ellipse.center[0] - ellipse.height / 4,
+                ellipse.center[1] + ellipse.height / 4 * np.sqrt(3),
+            ),
+            (
+                ellipse.center[0] + ellipse.height / 4,
+                ellipse.center[1] - ellipse.height / 4 * np.sqrt(3),
+            ),
+        ],
+    )
+    v1, v2 = np.array(ellipse.get_vertices())
+    np.testing.assert_almost_equal((v1 + v2) / 2, ellipse.center)
+    v1, v2 = np.array(ellipse.get_co_vertices())
+    np.testing.assert_almost_equal((v1 + v2) / 2, ellipse.center)
+
+    ellipse = Ellipse(xy=(2.252, -10.859), width=2.265, height=1.98, angle=68.78)
+    v1, v2 = np.array(ellipse.get_vertices())
+    np.testing.assert_almost_equal((v1 + v2) / 2, ellipse.center)
+    v1, v2 = np.array(ellipse.get_co_vertices())
+    np.testing.assert_almost_equal((v1 + v2) / 2, ellipse.center)
+
+
 def test_rotate_rect():
     loc = np.asarray([1.0, 2.0])
     width = 2
@@ -80,11 +178,72 @@ def test_rotate_rect():
     assert_almost_equal(rect1.get_verts(), new_verts)
 
 
-@image_comparison(baseline_images=['clip_to_bbox'])
-def test_clip_to_bbox():
-    fig = plt.figure()
+@check_figures_equal()
+def test_rotate_rect_draw(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    loc = (0, 0)
+    width, height = (1, 1)
+    angle = 30
+    rect_ref = Rectangle(loc, width, height, angle=angle)
+    ax_ref.add_patch(rect_ref)
+    assert rect_ref.get_angle() == angle
+
+    # Check that when the angle is updated after adding to an Axes, that the
+    # patch is marked stale and redrawn in the correct location
+    rect_test = Rectangle(loc, width, height)
+    assert rect_test.get_angle() == 0
+    ax_test.add_patch(rect_test)
+    rect_test.set_angle(angle)
+    assert rect_test.get_angle() == angle
+
+
+@check_figures_equal()
+def test_dash_offset_patch_draw(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    loc = (0.1, 0.1)
+    width, height = (0.8, 0.8)
+    rect_ref = Rectangle(loc, width, height, linewidth=3, edgecolor='b',
+                                                linestyle=(0, [6, 6]))
+    # fill the line gaps using a linestyle (0, [0, 6, 6, 0]), which is
+    # equivalent to (6, [6, 6]) but has 0 dash offset
+    rect_ref2 = Rectangle(loc, width, height, linewidth=3, edgecolor='r',
+                                            linestyle=(0, [0, 6, 6, 0]))
+    assert rect_ref.get_linestyle() == (0, [6, 6])
+    assert rect_ref2.get_linestyle() == (0, [0, 6, 6, 0])
+
+    ax_ref.add_patch(rect_ref)
+    ax_ref.add_patch(rect_ref2)
+
+    # Check that the dash offset of the rect is the same if we pass it in the
+    # init method and if we create two rects with appropriate onoff sequence
+    # of linestyle.
+
+    rect_test = Rectangle(loc, width, height, linewidth=3, edgecolor='b',
+                                                    linestyle=(0, [6, 6]))
+    rect_test2 = Rectangle(loc, width, height, linewidth=3, edgecolor='r',
+                                                    linestyle=(6, [6, 6]))
+    assert rect_test.get_linestyle() == (0, [6, 6])
+    assert rect_test2.get_linestyle() == (6, [6, 6])
+
+    ax_test.add_patch(rect_test)
+    ax_test.add_patch(rect_test2)
+
+
+def test_negative_rect():
+    # These two rectangles have the same vertices, but starting from a
+    # different point.  (We also drop the last vertex, which is a duplicate.)
+    pos_vertices = Rectangle((-3, -2), 3, 2).get_verts()[:-1]
+    neg_vertices = Rectangle((0, 0), -3, -2).get_verts()[:-1]
+    assert_array_equal(np.roll(neg_vertices, 2, 0), pos_vertices)
+
 
-    ax = fig.add_subplot(111)
+@image_comparison(['clip_to_bbox.png'])
+def test_clip_to_bbox():
+    fig, ax = plt.subplots()
     ax.set_xlim([-18, 20])
     ax.set_ylim([-150, 100])
 
@@ -102,7 +261,7 @@ def test_clip_to_bbox():
         combined, alpha=0.5, facecolor='coral', edgecolor='none')
     ax.add_patch(patch)
 
-    bbox = mtrans.Bbox([[-12, -77.5], [50, -110]])
+    bbox = mtransforms.Bbox([[-12, -77.5], [50, -110]])
     result_path = combined.clip_to_bbox(bbox)
     result_patch = mpatches.PathPatch(
         result_path, alpha=0.5, facecolor='green', lw=4, edgecolor='black')
@@ -110,7 +269,7 @@ def test_clip_to_bbox():
     ax.add_patch(result_patch)
 
 
-@image_comparison(baseline_images=['patch_alpha_coloring'], remove_text=True)
+@image_comparison(['patch_alpha_coloring'], remove_text=True)
 def test_patch_alpha_coloring():
     """
     Test checks that the patch and collection are rendered with the specified
@@ -125,23 +284,23 @@ def test_patch_alpha_coloring():
     cut_star2 = mpath.Path(verts + 1, codes)
 
     ax = plt.axes()
-    patch = mpatches.PathPatch(cut_star1,
-                               linewidth=5, linestyle='dashdot',
-                               facecolor=(1, 0, 0, 0.5),
-                               edgecolor=(0, 0, 1, 0.75))
-    ax.add_patch(patch)
-
     col = mcollections.PathCollection([cut_star2],
                                       linewidth=5, linestyles='dashdot',
                                       facecolor=(1, 0, 0, 0.5),
                                       edgecolor=(0, 0, 1, 0.75))
     ax.add_collection(col)
 
-    ax.set_xlim([-1, 2])
-    ax.set_ylim([-1, 2])
+    patch = mpatches.PathPatch(cut_star1,
+                               linewidth=5, linestyle='dashdot',
+                               facecolor=(1, 0, 0, 0.5),
+                               edgecolor=(0, 0, 1, 0.75))
+    ax.add_patch(patch)
+
+    ax.set_xlim(-1, 2)
+    ax.set_ylim(-1, 2)
 
 
-@image_comparison(baseline_images=['patch_alpha_override'], remove_text=True)
+@image_comparison(['patch_alpha_override'], remove_text=True)
 def test_patch_alpha_override():
     #: Test checks that specifying an alpha attribute for a patch or
     #: collection will override any alpha component of the facecolor
@@ -155,6 +314,13 @@ def test_patch_alpha_override():
     cut_star2 = mpath.Path(verts + 1, codes)
 
     ax = plt.axes()
+    col = mcollections.PathCollection([cut_star2],
+                                      linewidth=5, linestyles='dashdot',
+                                      alpha=0.25,
+                                      facecolor=(1, 0, 0, 0.5),
+                                      edgecolor=(0, 0, 1, 0.75))
+    ax.add_collection(col)
+
     patch = mpatches.PathPatch(cut_star1,
                                linewidth=5, linestyle='dashdot',
                                alpha=0.25,
@@ -162,19 +328,19 @@ def test_patch_alpha_override():
                                edgecolor=(0, 0, 1, 0.75))
     ax.add_patch(patch)
 
-    col = mcollections.PathCollection([cut_star2],
-                                      linewidth=5, linestyles='dashdot',
-                                      alpha=0.25,
-                                      facecolor=(1, 0, 0, 0.5),
-                                      edgecolor=(0, 0, 1, 0.75))
-    ax.add_collection(col)
+    ax.set_xlim(-1, 2)
+    ax.set_ylim(-1, 2)
 
-    ax.set_xlim([-1, 2])
-    ax.set_ylim([-1, 2])
 
+@mpl.style.context('default')
+def test_patch_color_none():
+    # Make sure the alpha kwarg does not override 'none' facecolor.
+    # Addresses issue #7478.
+    c = plt.Circle((0, 0), 1, facecolor='none', alpha=1)
+    assert c.get_facecolor()[0] == 0
 
-@image_comparison(baseline_images=['patch_custom_linestyle'],
-                  remove_text=True)
+
+@image_comparison(['patch_custom_linestyle'], remove_text=True)
 def test_patch_custom_linestyle():
     #: A test to check that patches and collections accept custom dash
     #: patterns as linestyle and that they display correctly.
@@ -187,20 +353,72 @@ def test_patch_custom_linestyle():
     cut_star2 = mpath.Path(verts + 1, codes)
 
     ax = plt.axes()
-    patch = mpatches.PathPatch(cut_star1,
-                   linewidth=5, linestyle=(0.0, (5.0, 7.0, 10.0, 7.0)),
-                   facecolor=(1, 0, 0),
-                   edgecolor=(0, 0, 1))
+    col = mcollections.PathCollection(
+        [cut_star2],
+        linewidth=5, linestyles=[(0, (5, 7, 10, 7))],
+        facecolor=(1, 0, 0), edgecolor=(0, 0, 1))
+    ax.add_collection(col)
+
+    patch = mpatches.PathPatch(
+        cut_star1,
+        linewidth=5, linestyle=(0, (5, 7, 10, 7)),
+        facecolor=(1, 0, 0), edgecolor=(0, 0, 1))
     ax.add_patch(patch)
 
-    col = mcollections.PathCollection([cut_star2],
-                  linewidth=5, linestyles=[(0.0, (5.0, 7.0, 10.0, 7.0))],
-                  facecolor=(1, 0, 0),
-                  edgecolor=(0, 0, 1))
-    ax.add_collection(col)
+    ax.set_xlim(-1, 2)
+    ax.set_ylim(-1, 2)
+
+
+def test_patch_linestyle_accents():
+    #: Test if linestyle can also be specified with short mnemonics like "--"
+    #: c.f. GitHub issue #2136
+    star = mpath.Path.unit_regular_star(6)
+    circle = mpath.Path.unit_circle()
+    # concatenate the star with an internal cutout of the circle
+    verts = np.concatenate([circle.vertices, star.vertices[::-1]])
+    codes = np.concatenate([circle.codes, star.codes])
 
-    ax.set_xlim([-1, 2])
-    ax.set_ylim([-1, 2])
+    linestyles = ["-", "--", "-.", ":",
+                  "solid", "dashed", "dashdot", "dotted"]
+
+    fig, ax = plt.subplots()
+    for i, ls in enumerate(linestyles):
+        star = mpath.Path(verts + i, codes)
+        patch = mpatches.PathPatch(star,
+                                   linewidth=3, linestyle=ls,
+                                   facecolor=(1, 0, 0),
+                                   edgecolor=(0, 0, 1))
+        ax.add_patch(patch)
+
+    ax.set_xlim([-1, i + 1])
+    ax.set_ylim([-1, i + 1])
+    fig.canvas.draw()
+
+
+@check_figures_equal()
+def test_patch_linestyle_none(fig_test, fig_ref):
+    circle = mpath.Path.unit_circle()
+
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+    for i, ls in enumerate(['none', 'None', ' ', '']):
+        path = mpath.Path(circle.vertices + i, circle.codes)
+        patch = mpatches.PathPatch(path,
+                                   linewidth=3, linestyle=ls,
+                                   facecolor=(1, 0, 0),
+                                   edgecolor=(0, 0, 1))
+        ax_test.add_patch(patch)
+
+        patch = mpatches.PathPatch(path,
+                                   linewidth=3, linestyle='-',
+                                   facecolor=(1, 0, 0),
+                                   edgecolor='none')
+        ax_ref.add_patch(patch)
+
+    ax_test.set_xlim([-1, i + 1])
+    ax_test.set_ylim([-1, i + 1])
+    ax_ref.set_xlim([-1, i + 1])
+    ax_ref.set_ylim([-1, i + 1])
 
 
 def test_wedge_movement():
@@ -210,17 +428,17 @@ def test_wedge_movement():
                   'theta1': (0, 30, 'set_theta1'),
                   'theta2': (45, 50, 'set_theta2')}
 
-    init_args = dict((k, v[0]) for (k, v) in six.iteritems(param_dict))
+    init_args = {k: v[0] for k, v in param_dict.items()}
 
     w = mpatches.Wedge(**init_args)
-    for attr, (old_v, new_v, func) in six.iteritems(param_dict):
-        assert_equal(getattr(w, attr), old_v)
+    for attr, (old_v, new_v, func) in param_dict.items():
+        assert getattr(w, attr) == old_v
         getattr(w, func)(new_v)
-        assert_equal(getattr(w, attr), new_v)
+        assert getattr(w, attr) == new_v
 
 
-@image_comparison(baseline_images=['wedge_range'],
-                  remove_text=True)
+@image_comparison(['wedge_range'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.009)
 def test_wedge_range():
     ax = plt.axes()
 
@@ -245,10 +463,633 @@ def test_wedge_range():
 
         ax.add_artist(wedge)
 
-    ax.set_xlim([-2, 8])
-    ax.set_ylim([-2, 9])
+    ax.set_xlim(-2, 8)
+    ax.set_ylim(-2, 9)
+
+
+def test_patch_str():
+    """
+    Check that patches have nice and working `str` representation.
+
+    Note that the logic is that `__str__` is defined such that:
+    str(eval(str(p))) == str(p)
+    """
+    p = mpatches.Circle(xy=(1, 2), radius=3)
+    assert str(p) == 'Circle(xy=(1, 2), radius=3)'
+
+    p = mpatches.Ellipse(xy=(1, 2), width=3, height=4, angle=5)
+    assert str(p) == 'Ellipse(xy=(1, 2), width=3, height=4, angle=5)'
+
+    p = mpatches.Rectangle(xy=(1, 2), width=3, height=4, angle=5)
+    assert str(p) == 'Rectangle(xy=(1, 2), width=3, height=4, angle=5)'
+
+    p = mpatches.Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)
+    assert str(p) == 'Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)'
+
+    p = mpatches.Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)
+    expected = 'Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)'
+    assert str(p) == expected
+
+    p = mpatches.Annulus(xy=(1, 2), r=(3, 4), width=1, angle=2)
+    expected = "Annulus(xy=(1, 2), r=(3, 4), width=1, angle=2)"
+    assert str(p) == expected
+
+    p = mpatches.RegularPolygon((1, 2), 20, radius=5)
+    assert str(p) == "RegularPolygon((1, 2), 20, radius=5, orientation=0)"
+
+    p = mpatches.CirclePolygon(xy=(1, 2), radius=5, resolution=20)
+    assert str(p) == "CirclePolygon((1, 2), radius=5, resolution=20)"
+
+    p = mpatches.FancyBboxPatch((1, 2), width=3, height=4)
+    assert str(p) == "FancyBboxPatch((1, 2), width=3, height=4)"
+
+    # Further nice __str__ which cannot be `eval`uated:
+    path = mpath.Path([(1, 2), (2, 2), (1, 2)], closed=True)
+    p = mpatches.PathPatch(path)
+    assert str(p) == "PathPatch3((1, 2) ...)"
+
+    p = mpatches.Polygon(np.empty((0, 2)))
+    assert str(p) == "Polygon0()"
+
+    data = [[1, 2], [2, 2], [1, 2]]
+    p = mpatches.Polygon(data)
+    assert str(p) == "Polygon3((1, 2) ...)"
+
+    p = mpatches.FancyArrowPatch(path=path)
+    assert str(p)[:27] == "FancyArrowPatch(Path(array("
+
+    p = mpatches.FancyArrowPatch((1, 2), (3, 4))
+    assert str(p) == "FancyArrowPatch((1, 2)->(3, 4))"
+
+    p = mpatches.ConnectionPatch((1, 2), (3, 4), 'data')
+    assert str(p) == "ConnectionPatch((1, 2), (3, 4))"
+
+    s = mpatches.Shadow(p, 1, 1)
+    assert str(s) == "Shadow(ConnectionPatch((1, 2), (3, 4)))"
+
+    # Not testing Arrow, FancyArrow here
+    # because they seem to exist only for historical reasons.
+
+
+@image_comparison(['multi_color_hatch'], remove_text=True, style='default')
+def test_multi_color_hatch():
+    fig, ax = plt.subplots()
+
+    rects = ax.bar(range(5), range(1, 6))
+    for i, rect in enumerate(rects):
+        rect.set_facecolor('none')
+        rect.set_edgecolor(f'C{i}')
+        rect.set_hatch('/')
+
+    ax.autoscale_view()
+    ax.autoscale(False)
+
+    for i in range(5):
+        with mpl.style.context({'hatch.color': f'C{i}'}):
+            r = Rectangle((i - .8 / 2, 5), .8, 1, hatch='//', fc='none')
+        ax.add_patch(r)
+
+
+@image_comparison(['units_rectangle.png'])
+def test_units_rectangle():
+    import matplotlib.testing.jpl_units as U
+    U.register()
+
+    p = mpatches.Rectangle((5*U.km, 6*U.km), 1*U.km, 2*U.km)
+
+    fig, ax = plt.subplots()
+    ax.add_patch(p)
+    ax.set_xlim([4*U.km, 7*U.km])
+    ax.set_ylim([5*U.km, 9*U.km])
+
+
+@image_comparison(['connection_patch.png'], style='mpl20', remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.024)
+def test_connection_patch():
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+
+    con = mpatches.ConnectionPatch(xyA=(0.1, 0.1), xyB=(0.9, 0.9),
+                                   coordsA='data', coordsB='data',
+                                   axesA=ax2, axesB=ax1,
+                                   arrowstyle="->")
+    ax2.add_artist(con)
+
+    xyA = (0.6, 1.0)  # in axes coordinates
+    xyB = (0.0, 0.2)  # x in axes coordinates, y in data coordinates
+    coordsA = "axes fraction"
+    coordsB = ax2.get_yaxis_transform()
+    con = mpatches.ConnectionPatch(xyA=xyA, xyB=xyB, coordsA=coordsA,
+                                   coordsB=coordsB, arrowstyle="-")
+    ax2.add_artist(con)
+
+
+@check_figures_equal()
+def test_connection_patch_fig(fig_test, fig_ref):
+    # Test that connection patch can be added as figure artist, and that figure
+    # pixels count negative values from the top right corner (this API may be
+    # changed in the future).
+    ax1, ax2 = fig_test.subplots(1, 2)
+    con = mpatches.ConnectionPatch(
+        xyA=(.3, .2), coordsA="data", axesA=ax1,
+        xyB=(-30, -20), coordsB="figure pixels",
+        arrowstyle="->", shrinkB=5)
+    fig_test.add_artist(con)
+
+    ax1, ax2 = fig_ref.subplots(1, 2)
+    bb = fig_ref.bbox
+    # Necessary so that pixel counts match on both sides.
+    plt.rcParams["savefig.dpi"] = plt.rcParams["figure.dpi"]
+    con = mpatches.ConnectionPatch(
+        xyA=(.3, .2), coordsA="data", axesA=ax1,
+        xyB=(bb.width - 30, bb.height - 20), coordsB="figure pixels",
+        arrowstyle="->", shrinkB=5)
+    fig_ref.add_artist(con)
+
+
+@check_figures_equal()
+def test_connection_patch_pixel_points(fig_test, fig_ref):
+    xyA_pts = (.3, .2)
+    xyB_pts = (-30, -20)
+
+    ax1, ax2 = fig_test.subplots(1, 2)
+    con = mpatches.ConnectionPatch(xyA=xyA_pts, coordsA="axes points", axesA=ax1,
+                                   xyB=xyB_pts, coordsB="figure points",
+                                   arrowstyle="->", shrinkB=5)
+    fig_test.add_artist(con)
+
+    plt.rcParams["savefig.dpi"] = plt.rcParams["figure.dpi"]
+
+    ax1, ax2 = fig_ref.subplots(1, 2)
+    xyA_pix = (xyA_pts[0]*(fig_ref.dpi/72), xyA_pts[1]*(fig_ref.dpi/72))
+    xyB_pix = (xyB_pts[0]*(fig_ref.dpi/72), xyB_pts[1]*(fig_ref.dpi/72))
+    con = mpatches.ConnectionPatch(xyA=xyA_pix, coordsA="axes pixels", axesA=ax1,
+                                   xyB=xyB_pix, coordsB="figure pixels",
+                                   arrowstyle="->", shrinkB=5)
+    fig_ref.add_artist(con)
+
+
+def test_datetime_rectangle():
+    # Check that creating a rectangle with timedeltas doesn't fail
+    from datetime import datetime, timedelta
+
+    start = datetime(2017, 1, 1, 0, 0, 0)
+    delta = timedelta(seconds=16)
+    patch = mpatches.Rectangle((start, 0), delta, 1)
+
+    fig, ax = plt.subplots()
+    ax.add_patch(patch)
+
+
+def test_datetime_datetime_fails():
+    from datetime import datetime
+
+    start = datetime(2017, 1, 1, 0, 0, 0)
+    dt_delta = datetime(1970, 1, 5)  # Will be 5 days if units are done wrong.
+
+    with pytest.raises(TypeError):
+        mpatches.Rectangle((start, 0), dt_delta, 1)
+
+    with pytest.raises(TypeError):
+        mpatches.Rectangle((0, start), 1, dt_delta)
+
+
+def test_contains_point():
+    ell = mpatches.Ellipse((0.5, 0.5), 0.5, 1.0)
+    points = [(0.0, 0.5), (0.2, 0.5), (0.25, 0.5), (0.5, 0.5)]
+    path = ell.get_path()
+    transform = ell.get_transform()
+    radius = ell._process_radius(None)
+    expected = np.array([path.contains_point(point,
+                                             transform,
+                                             radius) for point in points])
+    result = np.array([ell.contains_point(point) for point in points])
+    assert np.all(result == expected)
+
+
+def test_contains_points():
+    ell = mpatches.Ellipse((0.5, 0.5), 0.5, 1.0)
+    points = [(0.0, 0.5), (0.2, 0.5), (0.25, 0.5), (0.5, 0.5)]
+    path = ell.get_path()
+    transform = ell.get_transform()
+    radius = ell._process_radius(None)
+    expected = path.contains_points(points, transform, radius)
+    result = ell.contains_points(points)
+    assert np.all(result == expected)
+
+
+# Currently fails with pdf/svg, probably because some parts assume a dpi of 72.
+@check_figures_equal()
+def test_shadow(fig_test, fig_ref):
+    xy = np.array([.2, .3])
+    dxy = np.array([.1, .2])
+    # We need to work around the nonsensical (dpi-dependent) interpretation of
+    # offsets by the Shadow class...
+    plt.rcParams["savefig.dpi"] = "figure"
+    # Test image.
+    a1 = fig_test.subplots()
+    rect = mpatches.Rectangle(xy=xy, width=.5, height=.5)
+    shadow = mpatches.Shadow(rect, ox=dxy[0], oy=dxy[1])
+    a1.add_patch(rect)
+    a1.add_patch(shadow)
+    # Reference image.
+    a2 = fig_ref.subplots()
+    rect = mpatches.Rectangle(xy=xy, width=.5, height=.5)
+    shadow = mpatches.Rectangle(
+        xy=xy + fig_ref.dpi / 72 * dxy, width=.5, height=.5,
+        fc=np.asarray(mcolors.to_rgb(rect.get_facecolor())) * .3,
+        ec=np.asarray(mcolors.to_rgb(rect.get_facecolor())) * .3,
+        alpha=.5)
+    a2.add_patch(shadow)
+    a2.add_patch(rect)
+
+
+def test_fancyarrow_units():
+    from datetime import datetime
+    # Smoke test to check that FancyArrowPatch works with units
+    dtime = datetime(2000, 1, 1)
+    fig, ax = plt.subplots()
+    arrow = FancyArrowPatch((0, dtime), (0.01, dtime))
+
+
+def test_fancyarrow_setdata():
+    fig, ax = plt.subplots()
+    arrow = ax.arrow(0, 0, 10, 10, head_length=5, head_width=1, width=.5)
+    expected1 = np.array(
+      [[13.54, 13.54],
+       [10.35,  9.65],
+       [10.18,  9.82],
+       [0.18, -0.18],
+       [-0.18,  0.18],
+       [9.82, 10.18],
+       [9.65, 10.35],
+       [13.54, 13.54]]
+    )
+    assert np.allclose(expected1, np.round(arrow.verts, 2))
+
+    expected2 = np.array(
+      [[16.71, 16.71],
+       [16.71, 15.29],
+       [16.71, 15.29],
+       [1.71,  0.29],
+       [0.29,  1.71],
+       [15.29, 16.71],
+       [15.29, 16.71],
+       [16.71, 16.71]]
+    )
+    arrow.set_data(
+        x=1, y=1, dx=15, dy=15, width=2, head_width=2, head_length=1
+    )
+    assert np.allclose(expected2, np.round(arrow.verts, 2))
+
+
+@image_comparison(["large_arc.svg"], style="mpl20")
+def test_large_arc():
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    x = 210
+    y = -2115
+    diameter = 4261
+    for ax in [ax1, ax2]:
+        a = Arc((x, y), diameter, diameter, lw=2, color='k')
+        ax.add_patch(a)
+        ax.set_axis_off()
+        ax.set_aspect('equal')
+    # force the high accuracy case
+    ax1.set_xlim(7, 8)
+    ax1.set_ylim(5, 6)
+
+    # force the low accuracy case
+    ax2.set_xlim(-25000, 18000)
+    ax2.set_ylim(-20000, 6600)
+
+
+@image_comparison(["all_quadrants_arcs.svg"], style="mpl20")
+def test_rotated_arcs():
+    fig, ax_arr = plt.subplots(2, 2, squeeze=False, figsize=(10, 10))
+
+    scale = 10_000_000
+    diag_centers = ((-1, -1), (-1, 1), (1, 1), (1, -1))
+    on_axis_centers = ((0, 1), (1, 0), (0, -1), (-1, 0))
+    skews = ((2, 2), (2, 1/10), (2,  1/100), (2, 1/1000))
+
+    for ax, (sx, sy) in zip(ax_arr.ravel(), skews):
+        k = 0
+        for prescale, centers in zip((1 - .0001, (1 - .0001) / np.sqrt(2)),
+                                      (on_axis_centers, diag_centers)):
+            for j, (x_sign, y_sign) in enumerate(centers, start=k):
+                a = Arc(
+                    (x_sign * scale * prescale,
+                     y_sign * scale * prescale),
+                    scale * sx,
+                    scale * sy,
+                    lw=4,
+                    color=f"C{j}",
+                    zorder=1 + j,
+                    angle=np.rad2deg(np.arctan2(y_sign, x_sign)) % 360,
+                    label=f'big {j}',
+                    gid=f'big {j}'
+                )
+                ax.add_patch(a)
+
+            k = j+1
+        ax.set_xlim(-scale / 4000, scale / 4000)
+        ax.set_ylim(-scale / 4000, scale / 4000)
+        ax.axhline(0, color="k")
+        ax.axvline(0, color="k")
+        ax.set_axis_off()
+        ax.set_aspect("equal")
+
+
+def test_fancyarrow_shape_error():
+    with pytest.raises(ValueError, match="Got unknown shape: 'foo'"):
+        FancyArrow(0, 0, 0.2, 0.2, shape='foo')
+
+
+@pytest.mark.parametrize('fmt, match', (
+    ("foo", "Unknown style: 'foo'"),
+    ("Round,foo", "Incorrect style argument: 'Round,foo'"),
+))
+def test_boxstyle_errors(fmt, match):
+    with pytest.raises(ValueError, match=match):
+        BoxStyle(fmt)
+
+
+@image_comparison(baseline_images=['annulus'], extensions=['png'])
+def test_annulus():
+
+    fig, ax = plt.subplots()
+    cir = Annulus((0.5, 0.5), 0.2, 0.05, fc='g')        # circular annulus
+    ell = Annulus((0.5, 0.5), (0.5, 0.3), 0.1, 45,      # elliptical
+                  fc='m', ec='b', alpha=0.5, hatch='xxx')
+    ax.add_patch(cir)
+    ax.add_patch(ell)
+    ax.set_aspect('equal')
+
+
+@image_comparison(baseline_images=['annulus'], extensions=['png'])
+def test_annulus_setters():
+
+    fig, ax = plt.subplots()
+    cir = Annulus((0., 0.), 0.2, 0.01, fc='g')   # circular annulus
+    ell = Annulus((0., 0.), (1, 2), 0.1, 0,      # elliptical
+                  fc='m', ec='b', alpha=0.5, hatch='xxx')
+    ax.add_patch(cir)
+    ax.add_patch(ell)
+    ax.set_aspect('equal')
+
+    cir.center = (0.5, 0.5)
+    cir.radii = 0.2
+    cir.width = 0.05
+
+    ell.center = (0.5, 0.5)
+    ell.radii = (0.5, 0.3)
+    ell.width = 0.1
+    ell.angle = 45
+
+
+@image_comparison(baseline_images=['annulus'], extensions=['png'])
+def test_annulus_setters2():
+
+    fig, ax = plt.subplots()
+    cir = Annulus((0., 0.), 0.2, 0.01, fc='g')   # circular annulus
+    ell = Annulus((0., 0.), (1, 2), 0.1, 0,      # elliptical
+                  fc='m', ec='b', alpha=0.5, hatch='xxx')
+    ax.add_patch(cir)
+    ax.add_patch(ell)
+    ax.set_aspect('equal')
+
+    cir.center = (0.5, 0.5)
+    cir.set_semimajor(0.2)
+    cir.set_semiminor(0.2)
+    assert cir.radii == (0.2, 0.2)
+    cir.width = 0.05
+
+    ell.center = (0.5, 0.5)
+    ell.set_semimajor(0.5)
+    ell.set_semiminor(0.3)
+    assert ell.radii == (0.5, 0.3)
+    ell.width = 0.1
+    ell.angle = 45
+
+
+def test_degenerate_polygon():
+    point = [0, 0]
+    correct_extents = Bbox([point, point]).extents
+    assert np.all(Polygon([point]).get_extents().extents == correct_extents)
+
+
+@pytest.mark.parametrize('kwarg', ('edgecolor', 'facecolor'))
+def test_color_override_warning(kwarg):
+    with pytest.warns(UserWarning,
+                      match="Setting the 'color' property will override "
+                            "the edgecolor or facecolor properties."):
+        Patch(color='black', **{kwarg: 'black'})
+
+
+def test_empty_verts():
+    poly = Polygon(np.zeros((0, 2)))
+    assert poly.get_verts() == []
+
+
+def test_default_antialiased():
+    patch = Patch()
+
+    patch.set_antialiased(not rcParams['patch.antialiased'])
+    assert patch.get_antialiased() == (not rcParams['patch.antialiased'])
+    # Check that None resets the state
+    patch.set_antialiased(None)
+    assert patch.get_antialiased() == rcParams['patch.antialiased']
+
+
+def test_default_linestyle():
+    patch = Patch()
+    patch.set_linestyle('--')
+    patch.set_linestyle(None)
+    assert patch.get_linestyle() == 'solid'
+
+
+def test_default_capstyle():
+    patch = Patch()
+    assert patch.get_capstyle() == 'butt'
+
+
+def test_default_joinstyle():
+    patch = Patch()
+    assert patch.get_joinstyle() == 'miter'
+
+
+@image_comparison(["autoscale_arc"], extensions=['png', 'svg'],
+                  style="mpl20", remove_text=True)
+def test_autoscale_arc():
+    fig, axs = plt.subplots(1, 3, figsize=(4, 1))
+    arc_lists = (
+        [Arc((0, 0), 1, 1, theta1=0, theta2=90)],
+        [Arc((0.5, 0.5), 1.5, 0.5, theta1=10, theta2=20)],
+        [Arc((0.5, 0.5), 1.5, 0.5, theta1=10, theta2=20),
+         Arc((0.5, 0.5), 2.5, 0.5, theta1=110, theta2=120),
+         Arc((0.5, 0.5), 3.5, 0.5, theta1=210, theta2=220),
+         Arc((0.5, 0.5), 4.5, 0.5, theta1=310, theta2=320)])
+
+    for ax, arcs in zip(axs, arc_lists):
+        for arc in arcs:
+            ax.add_patch(arc)
+        ax.autoscale()
+
+
+@check_figures_equal(extensions=["png", 'svg', 'pdf', 'eps'])
+def test_arc_in_collection(fig_test, fig_ref):
+    arc1 = Arc([.5, .5], .5, 1, theta1=0, theta2=60, angle=20)
+    arc2 = Arc([.5, .5], .5, 1, theta1=0, theta2=60, angle=20)
+    col = mcollections.PatchCollection(patches=[arc2], facecolors='none',
+                                       edgecolors='k')
+    fig_ref.subplots().add_patch(arc1)
+    fig_test.subplots().add_collection(col)
+
+
+@check_figures_equal(extensions=["png", 'svg', 'pdf', 'eps'])
+def test_modifying_arc(fig_test, fig_ref):
+    arc1 = Arc([.5, .5], .5, 1, theta1=0, theta2=60, angle=20)
+    arc2 = Arc([.5, .5], 1.5, 1, theta1=0, theta2=60, angle=10)
+    fig_ref.subplots().add_patch(arc1)
+    fig_test.subplots().add_patch(arc2)
+    arc2.set_width(.5)
+    arc2.set_angle(20)
+
+
+def test_arrow_set_data():
+    fig, ax = plt.subplots()
+    arrow = mpl.patches.Arrow(2, 0, 0, 10)
+    expected1 = np.array(
+       [[1.9,  0.],
+        [2.1, -0.],
+        [2.1, 8.],
+        [2.3, 8.],
+        [2., 10.],
+        [1.7, 8.],
+        [1.9, 8.],
+        [1.9, 0.]]
+    )
+    assert np.allclose(expected1, np.round(arrow.get_verts(), 2))
+
+    expected2 = np.array(
+        [[0.39, 0.04],
+         [0.61, -0.04],
+         [3.01, 6.36],
+         [3.24, 6.27],
+         [3.5, 8.],
+         [2.56, 6.53],
+         [2.79, 6.44],
+         [0.39, 0.04]]
+    )
+    arrow.set_data(x=.5, dx=3, dy=8, width=1.2)
+    assert np.allclose(expected2, np.round(arrow.get_verts(), 2))
+
+
+@check_figures_equal(extensions=["png", "pdf", "svg", "eps"])
+def test_set_and_get_hatch_linewidth(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_ref = fig_ref.add_subplot()
+
+    lw = 2.0
+
+    with plt.rc_context({"hatch.linewidth": lw}):
+        ax_ref.add_patch(mpatches.Rectangle((0, 0), 1, 1, hatch="x"))
+
+    ax_test.add_patch(mpatches.Rectangle((0, 0), 1, 1, hatch="x"))
+    ax_test.patches[0].set_hatch_linewidth(lw)
+
+    assert ax_ref.patches[0].get_hatch_linewidth() == lw
+    assert ax_test.patches[0].get_hatch_linewidth() == lw
+
+
+def test_patch_hatchcolor_inherit_logic():
+    with mpl.rc_context({'hatch.color': 'edge'}):
+        # Test for when edgecolor and hatchcolor is set
+        rect = Rectangle((0, 0), 1, 1, hatch='//', ec='red',
+                         hatchcolor='yellow')
+        assert mcolors.same_color(rect.get_edgecolor(), 'red')
+        assert mcolors.same_color(rect.get_hatchcolor(), 'yellow')
+
+        # Test for explicitly setting edgecolor and then hatchcolor
+        rect = Rectangle((0, 0), 1, 1, hatch='//')
+        rect.set_edgecolor('orange')
+        assert mcolors.same_color(rect.get_hatchcolor(), 'orange')
+        rect.set_hatchcolor('cyan')
+        assert mcolors.same_color(rect.get_hatchcolor(), 'cyan')
+
+        # Test for explicitly setting hatchcolor and then edgecolor
+        rect = Rectangle((0, 0), 1, 1, hatch='//')
+        rect.set_hatchcolor('purple')
+        assert mcolors.same_color(rect.get_hatchcolor(), 'purple')
+        rect.set_edgecolor('green')
+        assert mcolors.same_color(rect.get_hatchcolor(), 'purple')
+
+    # Smoke test for setting with numpy array
+    rect.set_hatchcolor(np.ones(3))
+
+
+def test_patch_hatchcolor_fallback_logic():
+    # Test for when hatchcolor parameter is passed
+    rect = Rectangle((0, 0), 1, 1, hatch='//', hatchcolor='green')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'green')
+
+    # Test that hatchcolor parameter takes precedence over rcParam
+    # When edgecolor is not set
+    with mpl.rc_context({'hatch.color': 'blue'}):
+        rect = Rectangle((0, 0), 1, 1, hatch='//', hatchcolor='green')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'green')
+    # When edgecolor is set
+    with mpl.rc_context({'hatch.color': 'yellow'}):
+        rect = Rectangle((0, 0), 1, 1, hatch='//', hatchcolor='green', edgecolor='red')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'green')
+
+    # Test that hatchcolor is not overridden by edgecolor when
+    # hatchcolor parameter is not passed and hatch.color rcParam is set to a color
+    # When edgecolor is not set
+    with mpl.rc_context({'hatch.color': 'blue'}):
+        rect = Rectangle((0, 0), 1, 1, hatch='//')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'blue')
+    # When edgecolor is set
+    with mpl.rc_context({'hatch.color': 'blue'}):
+        rect = Rectangle((0, 0), 1, 1, hatch='//', edgecolor='red')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'blue')
+
+    # Test that hatchcolor matches edgecolor when
+    # hatchcolor parameter is not passed and hatch.color rcParam is set to 'edge'
+    with mpl.rc_context({'hatch.color': 'edge'}):
+        rect = Rectangle((0, 0), 1, 1, hatch='//', edgecolor='red')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'red')
+    # hatchcolor parameter is set to 'edge'
+    rect = Rectangle((0, 0), 1, 1, hatch='//', hatchcolor='edge', edgecolor='orange')
+    assert mcolors.same_color(rect.get_hatchcolor(), 'orange')
+
+    # Test for default hatchcolor when hatchcolor parameter is not passed and
+    # hatch.color rcParam is set to 'edge' and edgecolor is not set
+    rect = Rectangle((0, 0), 1, 1, hatch='//')
+    assert mcolors.same_color(rect.get_hatchcolor(), mpl.rcParams['patch.edgecolor'])
+
+
+def test_facecolor_none_force_edgecolor_false():
+    rcParams['patch.force_edgecolor'] = False   # default value
+    rect = Rectangle((0, 0), 1, 1, facecolor="none")
+    assert rect.get_edgecolor() == (0.0, 0.0, 0.0, 0.0)
+
+
+def test_facecolor_none_force_edgecolor_true():
+    rcParams['patch.force_edgecolor'] = True
+    rect = Rectangle((0, 0), 1, 1, facecolor="none")
+    assert rect.get_edgecolor() == (0.0, 0.0, 0.0, 1)
+
+
+def test_facecolor_none_edgecolor_force_edgecolor():
 
+    # Case 1:force_edgecolor =False -> rcParams['patch.edgecolor'] should NOT be applied
+    rcParams['patch.force_edgecolor'] = False
+    rcParams['patch.edgecolor'] = 'red'
+    rect = Rectangle((0, 0), 1, 1, facecolor="none")
+    assert not mcolors.same_color(rect.get_edgecolor(), rcParams['patch.edgecolor'])
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    # Case 2:force_edgecolor =True -> rcParams['patch.edgecolor'] SHOULD be applied
+    rcParams['patch.force_edgecolor'] = True
+    rcParams['patch.edgecolor'] = 'red'
+    rect = Rectangle((0, 0), 1, 1, facecolor="none")
+    assert mcolors.same_color(rect.get_edgecolor(), rcParams['patch.edgecolor'])
diff --git a/lib/matplotlib/tests/test_path.py b/lib/matplotlib/tests/test_path.py
index cea71c37d66f..21f4c33794af 100644
--- a/lib/matplotlib/tests/test_path.py
+++ b/lib/matplotlib/tests/test_path.py
@@ -1,15 +1,26 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import platform
+import re
 
 import numpy as np
 
+from numpy.testing import assert_array_equal
+import pytest
+
+from matplotlib import patches
 from matplotlib.path import Path
 from matplotlib.patches import Polygon
-from nose.tools import assert_raises
 from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
+from matplotlib import transforms
+from matplotlib.backend_bases import MouseEvent
+
+
+def test_empty_closed_path():
+    path = Path(np.zeros((0, 2)), closed=True)
+    assert path.vertices.shape == (0, 2)
+    assert path.codes is None
+    assert_array_equal(path.get_extents().extents,
+                       transforms.Bbox.null().extents)
 
 
 def test_readonly_path():
@@ -18,30 +29,167 @@ def test_readonly_path():
     def modify_vertices():
         path.vertices = path.vertices * 2.0
 
-    assert_raises(AttributeError, modify_vertices)
+    with pytest.raises(AttributeError):
+        modify_vertices()
+
+
+def test_path_exceptions():
+    bad_verts1 = np.arange(12).reshape(4, 3)
+    with pytest.raises(ValueError,
+                       match=re.escape(f'has shape {bad_verts1.shape}')):
+        Path(bad_verts1)
+
+    bad_verts2 = np.arange(12).reshape(2, 3, 2)
+    with pytest.raises(ValueError,
+                       match=re.escape(f'has shape {bad_verts2.shape}')):
+        Path(bad_verts2)
+
+    good_verts = np.arange(12).reshape(6, 2)
+    bad_codes = np.arange(2)
+    msg = re.escape(f"Your vertices have shape {good_verts.shape} "
+                    f"but your codes have shape {bad_codes.shape}")
+    with pytest.raises(ValueError, match=msg):
+        Path(good_verts, bad_codes)
 
 
 def test_point_in_path():
     # Test #1787
-    verts2 = [(0, 0), (0, 1), (1, 1), (1, 0), (0, 0)]
-
-    path = Path(verts2, closed=True)
+    path = Path._create_closed([(0, 0), (0, 1), (1, 1), (1, 0)])
     points = [(0.5, 0.5), (1.5, 0.5)]
+    ret = path.contains_points(points)
+    assert ret.dtype == 'bool'
+    np.testing.assert_equal(ret, [True, False])
+
 
-    assert np.all(path.contains_points(points) == [True, False])
+@pytest.mark.parametrize(
+    "other_path, inside, inverted_inside",
+    [(Path([(0.25, 0.25), (0.25, 0.75), (0.75, 0.75), (0.75, 0.25), (0.25, 0.25)],
+           closed=True), True, False),
+     (Path([(-0.25, -0.25), (-0.25, 1.75), (1.75, 1.75), (1.75, -0.25), (-0.25, -0.25)],
+           closed=True), False, True),
+     (Path([(-0.25, -0.25), (-0.25, 1.75), (0.5, 0.5),
+            (1.75, 1.75), (1.75, -0.25), (-0.25, -0.25)],
+           closed=True), False, False),
+     (Path([(0.25, 0.25), (0.25, 1.25), (1.25, 1.25), (1.25, 0.25), (0.25, 0.25)],
+           closed=True), False, False),
+     (Path([(0, 0), (0, 1), (1, 1), (1, 0), (0, 0)], closed=True), False, False),
+     (Path([(2, 2), (2, 3), (3, 3), (3, 2), (2, 2)], closed=True), False, False)])
+def test_contains_path(other_path, inside, inverted_inside):
+    path = Path([(0, 0), (0, 1), (1, 1), (1, 0), (0, 0)], closed=True)
+    assert path.contains_path(other_path) is inside
+    assert other_path.contains_path(path) is inverted_inside
 
 
 def test_contains_points_negative_radius():
     path = Path.unit_circle()
 
     points = [(0.0, 0.0), (1.25, 0.0), (0.9, 0.9)]
-    expected = [True, False, False]
+    result = path.contains_points(points, radius=-0.5)
+    np.testing.assert_equal(result, [True, False, False])
+
+
+_test_paths = [
+    # interior extrema determine extents and degenerate derivative
+    Path([[0, 0], [1, 0], [1, 1], [0, 1]],
+           [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4]),
+    # a quadratic curve
+    Path([[0, 0], [0, 1], [1, 0]], [Path.MOVETO, Path.CURVE3, Path.CURVE3]),
+    # a linear curve, degenerate vertically
+    Path([[0, 1], [1, 1]], [Path.MOVETO, Path.LINETO]),
+    # a point
+    Path([[1, 2]], [Path.MOVETO]),
+]
+
+
+_test_path_extents = [(0., 0., 0.75, 1.), (0., 0., 1., 0.5), (0., 1., 1., 1.),
+                      (1., 2., 1., 2.)]
+
+
+@pytest.mark.parametrize('path, extents', zip(_test_paths, _test_path_extents))
+def test_exact_extents(path, extents):
+    # notice that if we just looked at the control points to get the bounding
+    # box of each curve, we would get the wrong answers. For example, for
+    # hard_curve = Path([[0, 0], [1, 0], [1, 1], [0, 1]],
+    #                   [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4])
+    # we would get that the extents area (0, 0, 1, 1). This code takes into
+    # account the curved part of the path, which does not typically extend all
+    # the way out to the control points.
+    # Note that counterintuitively, path.get_extents() returns a Bbox, so we
+    # have to get that Bbox's `.extents`.
+    assert np.all(path.get_extents().extents == extents)
+
+
+@pytest.mark.parametrize('ignored_code', [Path.CLOSEPOLY, Path.STOP])
+def test_extents_with_ignored_codes(ignored_code):
+    # Check that STOP and CLOSEPOLY points are ignored when calculating extents
+    # of a path with only straight lines
+    path = Path([[0, 0],
+                 [1, 1],
+                 [2, 2]], [Path.MOVETO, Path.MOVETO, ignored_code])
+    assert np.all(path.get_extents().extents == (0., 0., 1., 1.))
+
+
+def test_point_in_path_nan():
+    box = np.array([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
+    p = Path(box)
+    test = np.array([[np.nan, 0.5]])
+    contains = p.contains_points(test)
+    assert len(contains) == 1
+    assert not contains[0]
+
+
+def test_nonlinear_containment():
+    fig, ax = plt.subplots()
+    ax.set(xscale="log", ylim=(0, 1))
+    polygon = ax.axvspan(1, 10)
+    assert polygon.get_path().contains_point(
+        ax.transData.transform((5, .5)), polygon.get_transform())
+    assert not polygon.get_path().contains_point(
+        ax.transData.transform((.5, .5)), polygon.get_transform())
+    assert not polygon.get_path().contains_point(
+        ax.transData.transform((50, .5)), polygon.get_transform())
+
+
+@image_comparison(['arrow_contains_point.png'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.027)
+def test_arrow_contains_point():
+    # fix bug (#8384)
+    fig, ax = plt.subplots()
+    ax.set_xlim((0, 2))
+    ax.set_ylim((0, 2))
 
-    assert np.all(path.contains_points(points, radius=-0.5) == expected)
+    # create an arrow with Curve style
+    arrow = patches.FancyArrowPatch((0.5, 0.25), (1.5, 0.75),
+                                    arrowstyle='->',
+                                    mutation_scale=40)
+    ax.add_patch(arrow)
+    # create an arrow with Bracket style
+    arrow1 = patches.FancyArrowPatch((0.5, 1), (1.5, 1.25),
+                                     arrowstyle=']-[',
+                                     mutation_scale=40)
+    ax.add_patch(arrow1)
+    # create an arrow with other arrow style
+    arrow2 = patches.FancyArrowPatch((0.5, 1.5), (1.5, 1.75),
+                                     arrowstyle='fancy',
+                                     fill=False,
+                                     mutation_scale=40)
+    ax.add_patch(arrow2)
+    patches_list = [arrow, arrow1, arrow2]
 
+    # generate some points
+    X, Y = np.meshgrid(np.arange(0, 2, 0.1),
+                       np.arange(0, 2, 0.1))
+    for k, (x, y) in enumerate(zip(X.ravel(), Y.ravel())):
+        xdisp, ydisp = ax.transData.transform([x, y])
+        event = MouseEvent('button_press_event', fig.canvas, xdisp, ydisp)
+        for m, patch in enumerate(patches_list):
+            # set the points to red only if the arrow contains the point
+            inside, res = patch.contains(event)
+            if inside:
+                ax.scatter(x, y, s=5, c="r")
 
-@image_comparison(baseline_images=['path_clipping'],
-                  extensions=['svg'], remove_text=True)
+
+@image_comparison(['path_clipping.svg'], remove_text=True)
 def test_path_clipping():
     fig = plt.figure(figsize=(6.0, 6.2))
 
@@ -61,15 +209,416 @@ def test_path_clipping():
             xy, facecolor='none', edgecolor='red', closed=True))
 
 
-def test_point_in_path_nan():
-    box = np.array([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
-    p = Path(box)
-    test = np.array([[np.nan, 0.5]])
-    contains = p.contains_points(test)
-    assert len(contains) == 1
-    assert not contains[0]
+@image_comparison(['semi_log_with_zero.png'], style='mpl20')
+def test_log_transform_with_zero():
+    x = np.arange(-10, 10)
+    y = (1.0 - 1.0/(x**2+1))**20
+
+    fig, ax = plt.subplots()
+    ax.semilogy(x, y, "-o", lw=15, markeredgecolor='k')
+    ax.set_ylim(1e-7, 1)
+    ax.grid(True)
+
+
+def test_make_compound_path_empty():
+    # We should be able to make a compound path with no arguments.
+    # This makes it easier to write generic path based code.
+    empty = Path.make_compound_path()
+    assert empty.vertices.shape == (0, 2)
+    r2 = Path.make_compound_path(empty, empty)
+    assert r2.vertices.shape == (0, 2)
+    assert r2.codes.shape == (0,)
+    r3 = Path.make_compound_path(Path([(0, 0)]), empty)
+    assert r3.vertices.shape == (1, 2)
+    assert r3.codes.shape == (1,)
+
+
+def test_make_compound_path_stops():
+    zero = [0, 0]
+    paths = 3*[Path([zero, zero], [Path.MOVETO, Path.STOP])]
+    compound_path = Path.make_compound_path(*paths)
+    # the choice to not preserve the terminal STOP is arbitrary, but
+    # documented, so we test that it is in fact respected here
+    assert np.sum(compound_path.codes == Path.STOP) == 0
+
+
+@image_comparison(['xkcd.png'], remove_text=True)
+def test_xkcd():
+    np.random.seed(0)
+
+    x = np.linspace(0, 2 * np.pi, 100)
+    y = np.sin(x)
+
+    with plt.xkcd():
+        fig, ax = plt.subplots()
+        ax.plot(x, y)
+
+
+@image_comparison(['xkcd_marker.png'], remove_text=True)
+def test_xkcd_marker():
+    np.random.seed(0)
+
+    x = np.linspace(0, 5, 8)
+    y1 = x
+    y2 = 5 - x
+    y3 = 2.5 * np.ones(8)
+
+    with plt.xkcd():
+        fig, ax = plt.subplots()
+        ax.plot(x, y1, '+', ms=10)
+        ax.plot(x, y2, 'o', ms=10)
+        ax.plot(x, y3, '^', ms=10)
+
+
+@image_comparison(['marker_paths.pdf'], remove_text=True)
+def test_marker_paths_pdf():
+    N = 7
+
+    plt.errorbar(np.arange(N),
+                 np.ones(N) + 4,
+                 np.ones(N))
+    plt.xlim(-1, N)
+    plt.ylim(-1, 7)
+
+
+@image_comparison(['nan_path'], style='default', remove_text=True,
+                  extensions=['pdf', 'svg', 'eps', 'png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.009)
+def test_nan_isolated_points():
+
+    y0 = [0, np.nan, 2, np.nan, 4, 5, 6]
+    y1 = [np.nan, 7, np.nan, 9, 10, np.nan, 12]
+
+    fig, ax = plt.subplots()
+
+    ax.plot(y0, '-o')
+    ax.plot(y1, '-o')
+
+
+def test_path_no_doubled_point_in_to_polygon():
+    hand = np.array(
+        [[1.64516129, 1.16145833],
+         [1.64516129, 1.59375],
+         [1.35080645, 1.921875],
+         [1.375, 2.18229167],
+         [1.68548387, 1.9375],
+         [1.60887097, 2.55208333],
+         [1.68548387, 2.69791667],
+         [1.76209677, 2.56770833],
+         [1.83064516, 1.97395833],
+         [1.89516129, 2.75],
+         [1.9516129, 2.84895833],
+         [2.01209677, 2.76041667],
+         [1.99193548, 1.99479167],
+         [2.11290323, 2.63020833],
+         [2.2016129, 2.734375],
+         [2.25403226, 2.60416667],
+         [2.14919355, 1.953125],
+         [2.30645161, 2.36979167],
+         [2.39112903, 2.36979167],
+         [2.41532258, 2.1875],
+         [2.1733871, 1.703125],
+         [2.07782258, 1.16666667]])
+
+    (r0, c0, r1, c1) = (1.0, 1.5, 2.1, 2.5)
+
+    poly = Path(np.vstack((hand[:, 1], hand[:, 0])).T, closed=True)
+    clip_rect = transforms.Bbox([[r0, c0], [r1, c1]])
+    poly_clipped = poly.clip_to_bbox(clip_rect).to_polygons()[0]
+
+    assert np.all(poly_clipped[-2] != poly_clipped[-1])
+    assert np.all(poly_clipped[-1] == poly_clipped[0])
+
+
+def test_path_to_polygons():
+    data = [[10, 10], [20, 20]]
+    p = Path(data)
+
+    assert_array_equal(p.to_polygons(width=40, height=40), [])
+    assert_array_equal(p.to_polygons(width=40, height=40, closed_only=False),
+                       [data])
+    assert_array_equal(p.to_polygons(), [])
+    assert_array_equal(p.to_polygons(closed_only=False), [data])
+
+    data = [[10, 10], [20, 20], [30, 30]]
+    closed_data = [[10, 10], [20, 20], [30, 30], [10, 10]]
+    p = Path(data)
+
+    assert_array_equal(p.to_polygons(width=40, height=40), [closed_data])
+    assert_array_equal(p.to_polygons(width=40, height=40, closed_only=False),
+                       [data])
+    assert_array_equal(p.to_polygons(), [closed_data])
+    assert_array_equal(p.to_polygons(closed_only=False), [data])
+
+
+def test_path_deepcopy():
+    # Should not raise any error
+    verts = [[0, 0], [1, 1]]
+    codes = [Path.MOVETO, Path.LINETO]
+    path1 = Path(verts)
+    path2 = Path(verts, codes)
+    path1_copy = path1.deepcopy()
+    path2_copy = path2.deepcopy()
+    assert path1 is not path1_copy
+    assert path1.vertices is not path1_copy.vertices
+    assert path2 is not path2_copy
+    assert path2.vertices is not path2_copy.vertices
+    assert path2.codes is not path2_copy.codes
+
+
+def test_path_shallowcopy():
+    # Should not raise any error
+    verts = [[0, 0], [1, 1]]
+    codes = [Path.MOVETO, Path.LINETO]
+    path1 = Path(verts)
+    path2 = Path(verts, codes)
+    path1_copy = path1.copy()
+    path2_copy = path2.copy()
+    assert path1 is not path1_copy
+    assert path1.vertices is path1_copy.vertices
+    assert path2 is not path2_copy
+    assert path2.vertices is path2_copy.vertices
+    assert path2.codes is path2_copy.codes
+
+
+@pytest.mark.parametrize('phi', np.concatenate([
+    np.array([0, 15, 30, 45, 60, 75, 90, 105, 120, 135]) + delta
+    for delta in [-1, 0, 1]]))
+def test_path_intersect_path(phi):
+    # test for the range of intersection angles
+    eps_array = [1e-5, 1e-8, 1e-10, 1e-12]
+
+    transform = transforms.Affine2D().rotate(np.deg2rad(phi))
+
+    # a and b intersect at angle phi
+    a = Path([(-2, 0), (2, 0)])
+    b = transform.transform_path(a)
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # a and b touch at angle phi at (0, 0)
+    a = Path([(0, 0), (2, 0)])
+    b = transform.transform_path(a)
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # a and b are orthogonal and intersect at (0, 3)
+    a = transform.transform_path(Path([(0, 1), (0, 3)]))
+    b = transform.transform_path(Path([(1, 3), (0, 3)]))
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # a and b are collinear and intersect at (0, 3)
+    a = transform.transform_path(Path([(0, 1), (0, 3)]))
+    b = transform.transform_path(Path([(0, 5), (0, 3)]))
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # self-intersect
+    assert a.intersects_path(a)
+
+    # a contains b
+    a = transform.transform_path(Path([(0, 0), (5, 5)]))
+    b = transform.transform_path(Path([(1, 1), (3, 3)]))
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # a and b are collinear but do not intersect
+    a = transform.transform_path(Path([(0, 1), (0, 5)]))
+    b = transform.transform_path(Path([(3, 0), (3, 3)]))
+    assert not a.intersects_path(b) and not b.intersects_path(a)
+
+    # a and b are on the same line but do not intersect
+    a = transform.transform_path(Path([(0, 1), (0, 5)]))
+    b = transform.transform_path(Path([(0, 6), (0, 7)]))
+    assert not a.intersects_path(b) and not b.intersects_path(a)
+
+    # Note: 1e-13 is the absolute tolerance error used for
+    # `isclose` function from src/_path.h
+
+    # a and b are parallel but do not touch
+    for eps in eps_array:
+        a = transform.transform_path(Path([(0, 1), (0, 5)]))
+        b = transform.transform_path(Path([(0 + eps, 1), (0 + eps, 5)]))
+        assert not a.intersects_path(b) and not b.intersects_path(a)
+
+    # a and b are on the same line but do not intersect (really close)
+    for eps in eps_array:
+        a = transform.transform_path(Path([(0, 1), (0, 5)]))
+        b = transform.transform_path(Path([(0, 5 + eps), (0, 7)]))
+        assert not a.intersects_path(b) and not b.intersects_path(a)
+
+    # a and b are on the same line and intersect (really close)
+    for eps in eps_array:
+        a = transform.transform_path(Path([(0, 1), (0, 5)]))
+        b = transform.transform_path(Path([(0, 5 - eps), (0, 7)]))
+        assert a.intersects_path(b) and b.intersects_path(a)
+
+    # b is the same as a but with an extra point
+    a = transform.transform_path(Path([(0, 1), (0, 5)]))
+    b = transform.transform_path(Path([(0, 1), (0, 2), (0, 5)]))
+    assert a.intersects_path(b) and b.intersects_path(a)
+
+    # a and b are collinear but do not intersect
+    a = transform.transform_path(Path([(1, -1), (0, -1)]))
+    b = transform.transform_path(Path([(0, 1), (0.9, 1)]))
+    assert not a.intersects_path(b) and not b.intersects_path(a)
+
+    # a and b are collinear but do not intersect
+    a = transform.transform_path(Path([(0., -5.), (1., -5.)]))
+    b = transform.transform_path(Path([(1., 5.), (0., 5.)]))
+    assert not a.intersects_path(b) and not b.intersects_path(a)
+
+
+@pytest.mark.parametrize('offset', range(-720, 361, 45))
+def test_full_arc(offset):
+    low = offset
+    high = 360 + offset
+
+    path = Path.arc(low, high)
+    mins = np.min(path.vertices, axis=0)
+    maxs = np.max(path.vertices, axis=0)
+    np.testing.assert_allclose(mins, -1)
+    np.testing.assert_allclose(maxs, 1)
+
+
+def test_disjoint_zero_length_segment():
+    this_path = Path(
+        np.array([
+            [824.85064295, 2056.26489203],
+            [861.69033931, 2041.00539016],
+            [868.57864109, 2057.63522175],
+            [831.73894473, 2072.89472361],
+            [824.85064295, 2056.26489203]]),
+        np.array([1, 2, 2, 2, 79], dtype=Path.code_type))
+
+    outline_path = Path(
+        np.array([
+            [859.91051028, 2165.38461538],
+            [859.06772495, 2149.30331334],
+            [859.06772495, 2181.46591743],
+            [859.91051028, 2165.38461538],
+            [859.91051028, 2165.38461538]]),
+        np.array([1, 2, 2, 2, 2],
+                 dtype=Path.code_type))
+
+    assert not outline_path.intersects_path(this_path)
+    assert not this_path.intersects_path(outline_path)
+
+
+def test_intersect_zero_length_segment():
+    this_path = Path(
+        np.array([
+            [0, 0],
+            [1, 1],
+        ]))
+
+    outline_path = Path(
+        np.array([
+            [1, 0],
+            [.5, .5],
+            [.5, .5],
+            [0, 1],
+        ]))
+
+    assert outline_path.intersects_path(this_path)
+    assert this_path.intersects_path(outline_path)
+
+
+def test_cleanup_closepoly():
+    # if the first connected component of a Path ends in a CLOSEPOLY, but that
+    # component contains a NaN, then Path.cleaned should ignore not just the
+    # control points but also the CLOSEPOLY, since it has nowhere valid to
+    # point.
+    paths = [
+        Path([[np.nan, np.nan], [np.nan, np.nan]],
+             [Path.MOVETO, Path.CLOSEPOLY]),
+        # we trigger a different path in the C++ code if we don't pass any
+        # codes explicitly, so we must also make sure that this works
+        Path([[np.nan, np.nan], [np.nan, np.nan]]),
+        # we should also make sure that this cleanup works if there's some
+        # multi-vertex curves
+        Path([[np.nan, np.nan], [np.nan, np.nan], [np.nan, np.nan],
+              [np.nan, np.nan]],
+             [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY])
+    ]
+    for p in paths:
+        cleaned = p.cleaned(remove_nans=True)
+        assert len(cleaned) == 1
+        assert cleaned.codes[0] == Path.STOP
+
+
+def test_interpolated_moveto():
+    # Initial path has two subpaths with two LINETOs each
+    vertices = np.array([[0, 0],
+                         [0, 1],
+                         [1, 2],
+                         [4, 4],
+                         [4, 5],
+                         [5, 5]])
+    codes = [Path.MOVETO, Path.LINETO, Path.LINETO] * 2
+
+    path = Path(vertices, codes)
+    result = path.interpolated(3)
+
+    # Result should have two subpaths with six LINETOs each
+    expected_subpath_codes = [Path.MOVETO] + [Path.LINETO] * 6
+    np.testing.assert_array_equal(result.codes, expected_subpath_codes * 2)
+
+
+def test_interpolated_closepoly():
+    codes = [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
+    vertices = [(4, 3), (5, 4), (5, 3), (0, 0)]
+
+    path = Path(vertices, codes)
+    result = path.interpolated(2)
+
+    expected_vertices = np.array([[4, 3],
+                                  [4.5, 3.5],
+                                  [5, 4],
+                                  [5, 3.5],
+                                  [5, 3],
+                                  [4.5, 3],
+                                  [4, 3]])
+    expected_codes = [Path.MOVETO] + [Path.LINETO]*5 + [Path.CLOSEPOLY]
+
+    np.testing.assert_allclose(result.vertices, expected_vertices)
+    np.testing.assert_array_equal(result.codes, expected_codes)
+
+    # Usually closepoly is the last vertex but does not have to be.
+    codes += [Path.LINETO]
+    vertices += [(2, 1)]
+
+    path = Path(vertices, codes)
+    result = path.interpolated(2)
+
+    extra_expected_vertices = np.array([[3, 2],
+                                        [2, 1]])
+    expected_vertices = np.concatenate([expected_vertices, extra_expected_vertices])
+
+    expected_codes += [Path.LINETO] * 2
+
+    np.testing.assert_allclose(result.vertices, expected_vertices)
+    np.testing.assert_array_equal(result.codes, expected_codes)
+
+
+def test_interpolated_moveto_closepoly():
+    # Initial path has two closed subpaths
+    codes = ([Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]) * 2
+    vertices = [(4, 3), (5, 4), (5, 3), (0, 0), (8, 6), (10, 8), (10, 6), (0, 0)]
+
+    path = Path(vertices, codes)
+    result = path.interpolated(2)
+
+    expected_vertices1 = np.array([[4, 3],
+                                   [4.5, 3.5],
+                                   [5, 4],
+                                   [5, 3.5],
+                                   [5, 3],
+                                   [4.5, 3],
+                                   [4, 3]])
+    expected_vertices = np.concatenate([expected_vertices1, expected_vertices1 * 2])
+    expected_codes = ([Path.MOVETO] + [Path.LINETO]*5 + [Path.CLOSEPOLY]) * 2
+
+    np.testing.assert_allclose(result.vertices, expected_vertices)
+    np.testing.assert_array_equal(result.codes, expected_codes)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_interpolated_empty_path():
+    path = Path(np.zeros((0, 2)))
+    assert path.interpolated(42) is path
diff --git a/lib/matplotlib/tests/test_patheffects.py b/lib/matplotlib/tests/test_patheffects.py
index 8298cebd0b24..466754aae383 100644
--- a/lib/matplotlib/tests/test_patheffects.py
+++ b/lib/matplotlib/tests/test_patheffects.py
@@ -1,25 +1,19 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import platform
 
 import numpy as np
 
-from matplotlib.testing.decorators import image_comparison, cleanup
+from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
 import matplotlib.patheffects as path_effects
-
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
-from nose.tools import assert_equal
+from matplotlib.path import Path
+import matplotlib.patches as patches
+from matplotlib.backend_bases import RendererBase
+from matplotlib.patheffects import PathEffectRenderer
 
 
-@image_comparison(baseline_images=['patheffect1'], remove_text=True)
+@image_comparison(['patheffect1'], remove_text=True)
 def test_patheffect1():
-    ax1 = plt.subplot(111)
+    ax1 = plt.subplot()
     ax1.imshow([[1, 2], [2, 3]])
     txt = ax1.annotate("test", (1., 1.), (0., 0),
                        arrowprops=dict(arrowstyle="->",
@@ -31,24 +25,19 @@ def test_patheffect1():
                                                           foreground="w"),
                                       path_effects.Normal()])
 
-    ax1.grid(True, linestyle="-")
-
     pe = [path_effects.withStroke(linewidth=3, foreground="w")]
-    for l in ax1.get_xgridlines() + ax1.get_ygridlines():
-        l.set_path_effects(pe)
+    ax1.grid(True, linestyle="-", path_effects=pe)
 
 
-@image_comparison(baseline_images=['patheffect2'], remove_text=True)
+@image_comparison(['patheffect2'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.06)
 def test_patheffect2():
 
-    ax2 = plt.subplot(111)
+    ax2 = plt.subplot()
     arr = np.arange(25).reshape((5, 5))
-    ax2.imshow(arr)
+    ax2.imshow(arr, interpolation='nearest')
     cntr = ax2.contour(arr, colors="k")
-
-    plt.setp(cntr.collections,
-             path_effects=[path_effects.withStroke(linewidth=3,
-                                                   foreground="w")])
+    cntr.set(path_effects=[path_effects.withStroke(linewidth=3, foreground="w")])
 
     clbls = ax2.clabel(cntr, fmt="%2.0f", use_clabeltext=True)
     plt.setp(clbls,
@@ -56,14 +45,16 @@ def test_patheffect2():
                                                    foreground="w")])
 
 
-@image_comparison(baseline_images=['patheffect3'])
+@image_comparison(['patheffect3'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.019)
 def test_patheffect3():
     p1, = plt.plot([1, 3, 5, 4, 3], 'o-b', lw=4)
     p1.set_path_effects([path_effects.SimpleLineShadow(),
                          path_effects.Normal()])
-    plt.title(r'testing$^{123}$',
+    plt.title(
+        r'testing$^{123}$',
         path_effects=[path_effects.withStroke(linewidth=1, foreground="r")])
-    leg = plt.legend([p1], [r'Line 1$^2$'], fancybox=True, loc=2)
+    leg = plt.legend([p1], [r'Line 1$^2$'], fancybox=True, loc='upper left')
     leg.legendPatch.set_path_effects([path_effects.withSimplePatchShadow()])
 
     text = plt.text(2, 3, 'Drop test', color='white',
@@ -83,58 +74,60 @@ def test_patheffect3():
     t.set_path_effects(pe)
 
 
-@cleanup
-def test_PathEffect_get_proxy():
-    pe = path_effects.AbstractPathEffect()
-    fig = plt.gcf()
-    renderer = fig.canvas.get_renderer()
+@image_comparison(['stroked_text.png'])
+def test_patheffects_stroked_text():
+    text_chunks = [
+        'A B C D E F G H I J K L',
+        'M N O P Q R S T U V W',
+        'X Y Z a b c d e f g h i j',
+        'k l m n o p q r s t u v',
+        'w x y z 0123456789',
+        r"!@#$%^&*()-=_+[]\;'",
+        ',./{}|:"<>?'
+    ]
+    font_size = 50
+
+    ax = plt.axes((0, 0, 1, 1))
+    for i, chunk in enumerate(text_chunks):
+        text = ax.text(x=0.01, y=(0.9 - i * 0.13), s=chunk,
+                       fontdict={'ha': 'left', 'va': 'center',
+                                 'size': font_size, 'color': 'white'})
+
+        text.set_path_effects([path_effects.Stroke(linewidth=font_size / 10,
+                                                   foreground='black'),
+                               path_effects.Normal()])
 
-    with mock.patch('matplotlib.cbook.deprecated') as dep:
-        proxy_renderer = pe.get_proxy_renderer(renderer)
-    assert_equal(proxy_renderer._renderer, renderer)
-    assert_equal(proxy_renderer._path_effects, [pe])
-    dep.assert_called()
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+    ax.axis('off')
 
 
-@cleanup
 def test_PathEffect_points_to_pixels():
     fig = plt.figure(dpi=150)
     p1, = plt.plot(range(10))
     p1.set_path_effects([path_effects.SimpleLineShadow(),
                          path_effects.Normal()])
-
     renderer = fig.canvas.get_renderer()
-    pe_renderer = path_effects.SimpleLineShadow().get_proxy_renderer(renderer)
-
-    assert isinstance(pe_renderer, path_effects.PathEffectRenderer), (
-                'Expected a PathEffectRendere instance, got '
-                'a {} instance.'.format(type(pe_renderer)))
-
+    pe_renderer = path_effects.PathEffectRenderer(
+        p1.get_path_effects(), renderer)
     # Confirm that using a path effects renderer maintains point sizes
     # appropriately. Otherwise rendered font would be the wrong size.
-    assert_equal(renderer.points_to_pixels(15),
-                 pe_renderer.points_to_pixels(15))
+    assert renderer.points_to_pixels(15) == pe_renderer.points_to_pixels(15)
 
 
-def test_SimplePatchShadow_offset_xy():
-    with mock.patch('matplotlib.cbook.deprecated') as dep:
-        pe = path_effects.SimplePatchShadow(offset_xy=(4, 5))
-    assert_equal(pe._offset, (4, 5))
-    dep.assert_called()
+def test_SimplePatchShadow_offset():
+    pe = path_effects.SimplePatchShadow(offset=(4, 5))
+    assert pe._offset == (4, 5)
 
 
-@image_comparison(baseline_images=['collection'])
+@image_comparison(['collection'], tol=0.03, style='mpl20')
 def test_collection():
     x, y = np.meshgrid(np.linspace(0, 10, 150), np.linspace(-5, 5, 100))
     data = np.sin(x) + np.cos(y)
     cs = plt.contour(data)
-    pe = [path_effects.PathPatchEffect(edgecolor='black', facecolor='none',
-                                       linewidth=12),
-          path_effects.Stroke(linewidth=5)]
-
-    for collection in cs.collections:
-        collection.set_path_effects(pe)
-
+    cs.set(path_effects=[
+        path_effects.PathPatchEffect(edgecolor='black', facecolor='none', linewidth=12),
+        path_effects.Stroke(linewidth=5)])
     for text in plt.clabel(cs, colors='white'):
         text.set_path_effects([path_effects.withStroke(foreground='k',
                                                        linewidth=3)])
@@ -142,6 +135,82 @@ def test_collection():
                        'edgecolor': 'blue'})
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+@image_comparison(['tickedstroke.png'], remove_text=True, style='mpl20')
+def test_tickedstroke(text_placeholders):
+    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 4))
+    path = Path.unit_circle()
+    patch = patches.PathPatch(path, facecolor='none', lw=2, path_effects=[
+        path_effects.withTickedStroke(angle=-90, spacing=10,
+                                      length=1)])
+
+    ax1.add_patch(patch)
+    ax1.axis('equal')
+    ax1.set_xlim(-2, 2)
+    ax1.set_ylim(-2, 2)
+
+    ax2.plot([0, 1], [0, 1], label='C0',
+             path_effects=[path_effects.withTickedStroke(spacing=7,
+                                                         angle=135)])
+    nx = 101
+    x = np.linspace(0.0, 1.0, nx)
+    y = 0.3 * np.sin(x * 8) + 0.4
+    ax2.plot(x, y, label='C1', path_effects=[path_effects.withTickedStroke()])
+
+    ax2.legend()
+
+    nx = 101
+    ny = 105
+
+    # Set up survey vectors
+    xvec = np.linspace(0.001, 4.0, nx)
+    yvec = np.linspace(0.001, 4.0, ny)
+
+    # Set up survey matrices.  Design disk loading and gear ratio.
+    x1, x2 = np.meshgrid(xvec, yvec)
+
+    # Evaluate some stuff to plot
+    g1 = -(3 * x1 + x2 - 5.5)
+    g2 = -(x1 + 2 * x2 - 4)
+    g3 = .8 + x1 ** -3 - x2
+
+    cg1 = ax3.contour(x1, x2, g1, [0], colors=('k',))
+    cg1.set(path_effects=[path_effects.withTickedStroke(angle=135)])
+
+    cg2 = ax3.contour(x1, x2, g2, [0], colors=('r',))
+    cg2.set(path_effects=[path_effects.withTickedStroke(angle=60, length=2)])
+
+    cg3 = ax3.contour(x1, x2, g3, [0], colors=('b',))
+    cg3.set(path_effects=[path_effects.withTickedStroke(spacing=7)])
+
+    ax3.set_xlim(0, 4)
+    ax3.set_ylim(0, 4)
+
+
+@image_comparison(['spaces_and_newlines.png'], remove_text=True)
+def test_patheffects_spaces_and_newlines():
+    ax = plt.subplot()
+    s1 = "         "
+    s2 = "\nNewline also causes problems"
+    text1 = ax.text(0.5, 0.75, s1, ha='center', va='center', size=20,
+                    bbox={'color': 'salmon'})
+    text2 = ax.text(0.5, 0.25, s2, ha='center', va='center', size=20,
+                    bbox={'color': 'thistle'})
+    text1.set_path_effects([path_effects.Normal()])
+    text2.set_path_effects([path_effects.Normal()])
+
+
+def test_patheffects_overridden_methods_open_close_group():
+    class CustomRenderer(RendererBase):
+        def __init__(self):
+            super().__init__()
+
+        def open_group(self, s, gid=None):
+            return "open_group overridden"
+
+        def close_group(self, s):
+            return "close_group overridden"
+
+    renderer = PathEffectRenderer([path_effects.Normal()], CustomRenderer())
+
+    assert renderer.open_group('s') == "open_group overridden"
+    assert renderer.close_group('s') == "close_group overridden"
diff --git a/lib/matplotlib/tests/test_pickle.py b/lib/matplotlib/tests/test_pickle.py
index 0c289c2c702a..82fc60e186c7 100644
--- a/lib/matplotlib/tests/test_pickle.py
+++ b/lib/matplotlib/tests/test_pickle.py
@@ -1,136 +1,55 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import cPickle as pickle
-from six.moves import xrange
-
 from io import BytesIO
+import ast
+import os
+import sys
+import pickle
+import pickletools
 
-from nose.tools import assert_equal, assert_not_equal
 import numpy as np
-
-from matplotlib.testing.decorators import cleanup, image_comparison
+import pytest
+
+import matplotlib as mpl
+from matplotlib import cm
+from matplotlib.testing import subprocess_run_helper, is_ci_environment
+from matplotlib.testing.decorators import check_figures_equal
+from matplotlib.dates import rrulewrapper
+from matplotlib.lines import VertexSelector
 import matplotlib.pyplot as plt
+import matplotlib.transforms as mtransforms
+import matplotlib.figure as mfigure
+from mpl_toolkits.axes_grid1 import axes_divider, parasite_axes  # type: ignore[import]
 
 
-def depth_getter(obj,
-                 current_depth=0,
-                 depth_stack=None,
-                 nest_info='top level object'):
-    """
-    Returns a dictionary mapping:
-
-        id(obj): (shallowest_depth, obj, nest_info)
-
-    for the given object (and its subordinates).
-
-    This, in conjunction with recursive_pickle, can be used to debug
-    pickling issues, although finding others is sometimes a case of
-    trial and error.
-
-    """
-    if depth_stack is None:
-        depth_stack = {}
-
-    if id(obj) in depth_stack:
-        stack = depth_stack[id(obj)]
-        if stack[0] > current_depth:
-            del depth_stack[id(obj)]
-        else:
-            return depth_stack
-
-    depth_stack[id(obj)] = (current_depth, obj, nest_info)
-
-    if isinstance(obj, (list, tuple)):
-        for i, item in enumerate(obj):
-            depth_getter(item, current_depth=current_depth + 1,
-                         depth_stack=depth_stack,
-                         nest_info=('list/tuple item #%s in '
-                                    '(%s)' % (i, nest_info)))
-    else:
-        if isinstance(obj, dict):
-            state = obj
-        elif hasattr(obj, '__getstate__'):
-            state = obj.__getstate__()
-            if not isinstance(state, dict):
-                state = {}
-        elif hasattr(obj, '__dict__'):
-            state = obj.__dict__
-        else:
-            state = {}
-
-        for key, value in six.iteritems(state):
-            depth_getter(value, current_depth=current_depth + 1,
-                         depth_stack=depth_stack,
-                         nest_info=('attribute "%s" in '
-                                    '(%s)' % (key, nest_info)))
-
-    return depth_stack
-
-
-def recursive_pickle(top_obj):
-    """
-    Recursively pickle all of the given objects subordinates, starting with
-    the deepest first. **Very** handy for debugging pickling issues, but
-    also very slow (as it literally pickles each object in turn).
-
-    Handles circular object references gracefully.
-
-    """
-    objs = depth_getter(top_obj)
-    # sort by depth then by nest_info
-    objs = sorted(six.itervalues(objs), key=lambda val: (-val[0], val[2]))
-
-    for _, obj, location in objs:
-#        print('trying %s' % location)
-        try:
-            pickle.dump(obj, BytesIO(), pickle.HIGHEST_PROTOCOL)
-        except Exception as err:
-            print(obj)
-            print('Failed to pickle %s. \n Type: %s. Traceback '
-                  'follows:' % (location, type(obj)))
-            raise
-
-
-@cleanup
 def test_simple():
     fig = plt.figure()
-    # un-comment to debug
-#    recursive_pickle(fig)
     pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
 
     ax = plt.subplot(121)
     pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
 
     ax = plt.axes(projection='polar')
-    plt.plot(list(xrange(10)), label='foobar')
+    plt.plot(np.arange(10), label='foobar')
     plt.legend()
 
-    # Uncomment to debug any unpicklable objects. This is slow so is not
-    # uncommented by default.
-#    recursive_pickle(fig)
     pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
 
 #    ax = plt.subplot(121, projection='hammer')
-#    recursive_pickle(ax, 'figure')
 #    pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
 
     plt.figure()
-    plt.bar(left=list(xrange(10)), height=list(xrange(10)))
+    plt.bar(x=np.arange(10), height=np.arange(10))
     pickle.dump(plt.gca(), BytesIO(), pickle.HIGHEST_PROTOCOL)
 
     fig = plt.figure()
     ax = plt.axes()
-    plt.plot(list(xrange(10)))
+    plt.plot(np.arange(10))
     ax.set_yscale('log')
     pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
 
 
-@image_comparison(baseline_images=['multi_pickle'],
-                  extensions=['png'], remove_text=True)
-def test_complete():
-    fig = plt.figure('Figure with a label?', figsize=(10, 6))
+def _generate_complete_test_figure(fig_ref):
+    fig_ref.set_size_inches((10, 6))
+    plt.figure(fig_ref)
 
     plt.suptitle('Can you fit any more in a figure?')
 
@@ -139,8 +58,10 @@ def test_complete():
     data = u = v = np.linspace(0, 10, 80).reshape(10, 8)
     v = np.sin(v * -0.6)
 
+    # Ensure lists also pickle correctly.
     plt.subplot(3, 3, 1)
-    plt.plot(list(xrange(10)))
+    plt.plot(list(range(10)))
+    plt.ylabel("hello")
 
     plt.subplot(3, 3, 2)
     plt.contourf(data, hatches=['//', 'ooo'])
@@ -151,6 +72,7 @@ def test_complete():
 
     plt.subplot(3, 3, 4)
     plt.imshow(data)
+    plt.ylabel("hello\nworld!")
 
     plt.subplot(3, 3, 5)
     plt.pcolor(data)
@@ -166,42 +88,105 @@ def test_complete():
     plt.quiver(x, y, u, v)
 
     plt.subplot(3, 3, 8)
-    plt.scatter(x, x**2, label='$x^2$')
+    plt.scatter(x, x ** 2, label='$x^2$')
     plt.legend(loc='upper left')
 
     plt.subplot(3, 3, 9)
-    plt.errorbar(x, x * -0.5, xerr=0.2, yerr=0.4)
+    plt.errorbar(x, x * -0.5, xerr=0.2, yerr=0.4, label='$-.5 x$')
+    plt.legend(draggable=True)
+
+    # Ensure subfigure parenting works.
+    subfigs = fig_ref.subfigures(2)
+    subfigs[0].subplots(1, 2)
+    subfigs[1].subplots(1, 2)
+
+    fig_ref.align_ylabels()  # Test handling of _align_label_groups Groupers.
+
+
+@mpl.style.context("default")
+@check_figures_equal()
+def test_complete(fig_test, fig_ref):
+    _generate_complete_test_figure(fig_ref)
+    # plotting is done, now test its pickle-ability
+    pkl = pickle.dumps(fig_ref, pickle.HIGHEST_PROTOCOL)
+    # FigureCanvasAgg is picklable and GUI canvases are generally not, but there should
+    # be no reference to the canvas in the pickle stream in either case.  In order to
+    # keep the test independent of GUI toolkits, run it with Agg and check that there's
+    # no reference to FigureCanvasAgg in the pickle stream.
+    assert "FigureCanvasAgg" not in [arg for op, arg, pos in pickletools.genops(pkl)]
+    loaded = pickle.loads(pkl)
+    loaded.canvas.draw()
+
+    fig_test.set_size_inches(loaded.get_size_inches())
+    fig_test.figimage(loaded.canvas.renderer.buffer_rgba())
+
+    plt.close(loaded)
+
+
+def _pickle_load_subprocess():
+    import os
+    import pickle
+
+    path = os.environ['PICKLE_FILE_PATH']
 
-    ###### plotting is done, now test its pickle-ability #########
+    with open(path, 'rb') as blob:
+        fig = pickle.load(blob)
 
-    # Uncomment to debug any unpicklable objects. This is slow (~200 seconds).
-#    recursive_pickle(fig)
+    print(str(pickle.dumps(fig)))
 
-    result_fh = BytesIO()
-    pickle.dump(fig, result_fh, pickle.HIGHEST_PROTOCOL)
 
-    plt.close('all')
+@mpl.style.context("default")
+@check_figures_equal()
+def test_pickle_load_from_subprocess(fig_test, fig_ref, tmp_path):
+    _generate_complete_test_figure(fig_ref)
 
-    # make doubly sure that there are no figures left
-    assert_equal(plt._pylab_helpers.Gcf.figs, {})
+    fp = tmp_path / 'sinus.pickle'
+    assert not fp.exists()
 
-    # wind back the fh and load in the figure
-    result_fh.seek(0)
-    fig = pickle.load(result_fh)
+    with fp.open('wb') as file:
+        pickle.dump(fig_ref, file, pickle.HIGHEST_PROTOCOL)
+    assert fp.exists()
 
-    # make sure there is now a figure manager
-    assert_not_equal(plt._pylab_helpers.Gcf.figs, {})
+    proc = subprocess_run_helper(
+        _pickle_load_subprocess,
+        timeout=60,
+        extra_env={
+            "PICKLE_FILE_PATH": str(fp),
+            "MPLBACKEND": "Agg",
+            # subprocess_run_helper will set SOURCE_DATE_EPOCH=0, so for a dirty tree,
+            # the version will have the date 19700101. As we aren't trying to test the
+            # version compatibility warning, force setuptools-scm to use the same
+            # version as us.
+            "SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MATPLOTLIB": mpl.__version__,
+        },
+    )
 
-    assert_equal(fig.get_label(), 'Figure with a label?')
+    loaded_fig = pickle.loads(ast.literal_eval(proc.stdout))
+
+    loaded_fig.canvas.draw()
+
+    fig_test.set_size_inches(loaded_fig.get_size_inches())
+    fig_test.figimage(loaded_fig.canvas.renderer.buffer_rgba())
+
+    plt.close(loaded_fig)
+
+
+def test_gcf():
+    fig = plt.figure("a label")
+    buf = BytesIO()
+    pickle.dump(fig, buf, pickle.HIGHEST_PROTOCOL)
+    plt.close("all")
+    assert plt._pylab_helpers.Gcf.figs == {}  # No figures must be left.
+    fig = pickle.loads(buf.getbuffer())
+    assert plt._pylab_helpers.Gcf.figs != {}  # A manager is there again.
+    assert fig.get_label() == "a label"
 
 
 def test_no_pyplot():
     # tests pickle-ability of a figure not created with pyplot
-    from matplotlib.backends.backend_pdf import FigureCanvasPdf as fc
-    from matplotlib.figure import Figure
-
-    fig = Figure()
-    _ = fc(fig)
+    from matplotlib.backends.backend_pdf import FigureCanvasPdf
+    fig = mfigure.Figure()
+    _ = FigureCanvasPdf(fig)
     ax = fig.add_subplot(1, 1, 1)
     ax.plot([1, 2, 3], [1, 2, 3])
     pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
@@ -225,19 +210,130 @@ def test_image():
     pickle.dump(fig, BytesIO())
 
 
-def test_grid():
-    from matplotlib.backends.backend_agg import new_figure_manager
-    manager = new_figure_manager(1000)
-    fig = manager.canvas.figure
-    ax = fig.add_subplot(1, 1, 1)
-    ax.grid()
-    # Drawing the grid triggers instance methods to be attached
-    # to the Line2D object (_lineFunc).
-    manager.canvas.draw()
+def test_polar():
+    plt.subplot(polar=True)
+    fig = plt.gcf()
+    pf = pickle.dumps(fig)
+    pickle.loads(pf)
+    plt.draw()
+
 
-    pickle.dump(ax, BytesIO())
+class TransformBlob:
+    def __init__(self):
+        self.identity = mtransforms.IdentityTransform()
+        self.identity2 = mtransforms.IdentityTransform()
+        # Force use of the more complex composition.
+        self.composite = mtransforms.CompositeGenericTransform(
+            self.identity,
+            self.identity2)
+        # Check parent -> child links of TransformWrapper.
+        self.wrapper = mtransforms.TransformWrapper(self.composite)
+        # Check child -> parent links of TransformWrapper.
+        self.composite2 = mtransforms.CompositeGenericTransform(
+            self.wrapper,
+            self.identity)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s'])
+def test_transform():
+    obj = TransformBlob()
+    pf = pickle.dumps(obj)
+    del obj
+
+    obj = pickle.loads(pf)
+    # Check parent -> child links of TransformWrapper.
+    assert obj.wrapper._child == obj.composite
+    # Check child -> parent links of TransformWrapper.
+    assert [v() for v in obj.wrapper._parents.values()] == [obj.composite2]
+    # Check input and output dimensions are set as expected.
+    assert obj.wrapper.input_dims == obj.composite.input_dims
+    assert obj.wrapper.output_dims == obj.composite.output_dims
+
+
+def test_rrulewrapper():
+    r = rrulewrapper(2)
+    try:
+        pickle.loads(pickle.dumps(r))
+    except RecursionError:
+        print('rrulewrapper pickling test failed')
+        raise
+
+
+def test_shared():
+    fig, axs = plt.subplots(2, sharex=True)
+    fig = pickle.loads(pickle.dumps(fig))
+    fig.axes[0].set_xlim(10, 20)
+    assert fig.axes[1].get_xlim() == (10, 20)
+
+
+def test_inset_and_secondary():
+    fig, ax = plt.subplots()
+    ax.inset_axes([.1, .1, .3, .3])
+    ax.secondary_xaxis("top", functions=(np.square, np.sqrt))
+    pickle.loads(pickle.dumps(fig))
+
+
+@pytest.mark.parametrize("cmap", cm._colormaps.values())
+def test_cmap(cmap):
+    pickle.dumps(cmap)
+
+
+def test_unpickle_canvas():
+    fig = mfigure.Figure()
+    assert fig.canvas is not None
+    out = BytesIO()
+    pickle.dump(fig, out)
+    out.seek(0)
+    fig2 = pickle.load(out)
+    assert fig2.canvas is not None
+
+
+def test_mpl_toolkits():
+    ax = parasite_axes.host_axes([0, 0, 1, 1])
+    axes_divider.make_axes_area_auto_adjustable(ax)
+    assert type(pickle.loads(pickle.dumps(ax))) == parasite_axes.HostAxes
+
+
+def test_standard_norm():
+    assert type(pickle.loads(pickle.dumps(mpl.colors.LogNorm()))) \
+        == mpl.colors.LogNorm
+
+
+def test_dynamic_norm():
+    logit_norm_instance = mpl.colors.make_norm_from_scale(
+        mpl.scale.LogitScale, mpl.colors.Normalize)()
+    assert type(pickle.loads(pickle.dumps(logit_norm_instance))) \
+        == type(logit_norm_instance)
+
+
+def test_vertexselector():
+    line, = plt.plot([0, 1], picker=True)
+    pickle.loads(pickle.dumps(VertexSelector(line)))
+
+
+def test_cycler():
+    ax = plt.figure().add_subplot()
+    ax.set_prop_cycle(c=["c", "m", "y", "k"])
+    ax.plot([1, 2])
+    ax = pickle.loads(pickle.dumps(ax))
+    l, = ax.plot([3, 4])
+    assert l.get_color() == "m"
+
+
+# Run under an interactive backend to test that we don't try to pickle the
+# (interactive and non-picklable) canvas.
+def _test_axeswidget_interactive():
+    ax = plt.figure().add_subplot()
+    pickle.dumps(mpl.widgets.Button(ax, "button"))
+
+
+@pytest.mark.xfail(  # https://github.com/actions/setup-python/issues/649
+        ('TF_BUILD' in os.environ or 'GITHUB_ACTION' in os.environ) and
+        sys.platform == 'darwin' and sys.version_info[:2] < (3, 11),
+        reason='Tk version mismatch on Azure macOS CI'
+    )
+def test_axeswidget_interactive():
+    subprocess_run_helper(
+        _test_axeswidget_interactive,
+        timeout=120 if is_ci_environment() else 20,
+        extra_env={'MPLBACKEND': 'tkagg'}
+    )
diff --git a/lib/matplotlib/tests/test_png.py b/lib/matplotlib/tests/test_png.py
index 8db6c9a19734..a7677b0d05ac 100644
--- a/lib/matplotlib/tests/test_png.py
+++ b/lib/matplotlib/tests/test_png.py
@@ -1,28 +1,18 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from io import BytesIO
+from pathlib import Path
 
-import six
-
-import glob
-import os
-
-import numpy as np
+import pytest
 
 from matplotlib.testing.decorators import image_comparison
-from matplotlib import pyplot as plt
-import matplotlib.cm as cm
+from matplotlib import cm, pyplot as plt
 
 
-@image_comparison(baseline_images=['pngsuite'], extensions=['png'])
+@image_comparison(['pngsuite.png'], tol=0.09)
 def test_pngsuite():
-    dirname = os.path.join(
-        os.path.dirname(__file__),
-        'baseline_images',
-        'pngsuite')
-    files = glob.glob(os.path.join(dirname, 'basn*.png'))
-    files.sort()
+    files = sorted(
+        (Path(__file__).parent / "baseline_images/pngsuite").glob("basn*.png"))
 
-    fig = plt.figure(figsize=(len(files), 2))
+    plt.figure(figsize=(len(files), 2))
 
     for i, fname in enumerate(files):
         data = plt.imread(fname)
@@ -30,16 +20,34 @@ def test_pngsuite():
         if data.ndim == 2:
             # keep grayscale images gray
             cmap = cm.gray
-        plt.imshow(data, extent=[i, i + 1, 0, 1], cmap=cmap)
+        # Using the old default data interpolation stage lets us
+        # continue to use the existing reference image
+        plt.imshow(data, extent=(i, i + 1, 0, 1), cmap=cmap,
+                   interpolation_stage='data')
 
     plt.gca().patch.set_facecolor("#ddffff")
     plt.gca().set_xlim(0, len(files))
 
 
-def test_imread_png_uint16():
-    from matplotlib import _png
-    img = _png.read_png_int(os.path.join(os.path.dirname(__file__),
-                                     'baseline_images/test_png/uint16.png'))
+def test_truncated_file(tmp_path):
+    path = tmp_path / 'test.png'
+    path_t = tmp_path / 'test_truncated.png'
+    plt.savefig(path)
+    with open(path, 'rb') as fin:
+        buf = fin.read()
+    with open(path_t, 'wb') as fout:
+        fout.write(buf[:20])
+
+    with pytest.raises(Exception):
+        plt.imread(path_t)
+
+
+def test_truncated_buffer():
+    b = BytesIO()
+    plt.savefig(b)
+    b.seek(0)
+    b2 = BytesIO(b.read(20))
+    b2.seek(0)
 
-    assert (img.dtype == np.uint16)
-    assert np.sum(img.flatten()) == 134184960
+    with pytest.raises(Exception):
+        plt.imread(b2)
diff --git a/lib/matplotlib/tests/test_polar.py b/lib/matplotlib/tests/test_polar.py
new file mode 100644
index 000000000000..a0969df5de90
--- /dev/null
+++ b/lib/matplotlib/tests/test_polar.py
@@ -0,0 +1,528 @@
+import numpy as np
+from numpy.testing import assert_allclose
+import pytest
+
+import matplotlib as mpl
+from matplotlib import pyplot as plt
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+
+
+@image_comparison(['polar_axes.png'], style='default', tol=0.012)
+def test_polar_annotations():
+    # You can specify the xypoint and the xytext in different positions and
+    # coordinate systems, and optionally turn on a connecting line and mark the
+    # point with a marker.  Annotations work on polar axes too.  In the example
+    # below, the xy point is in native coordinates (xycoords defaults to
+    # 'data').  For a polar axes, this is in (theta, radius) space.  The text
+    # in this example is placed in the fractional figure coordinate system.
+    # Text keyword args like horizontal and vertical alignment are respected.
+
+    # Setup some data
+    r = np.arange(0.0, 1.0, 0.001)
+    theta = 2.0 * 2.0 * np.pi * r
+
+    fig = plt.figure()
+    ax = fig.add_subplot(polar=True)
+    line, = ax.plot(theta, r, color='#ee8d18', lw=3)
+    line, = ax.plot((0, 0), (0, 1), color="#0000ff", lw=1)
+
+    ind = 800
+    thisr, thistheta = r[ind], theta[ind]
+    ax.plot([thistheta], [thisr], 'o')
+    ax.annotate('a polar annotation',
+                xy=(thistheta, thisr),  # theta, radius
+                xytext=(0.05, 0.05),    # fraction, fraction
+                textcoords='figure fraction',
+                arrowprops=dict(facecolor='black', shrink=0.05),
+                horizontalalignment='left',
+                verticalalignment='baseline',
+                )
+
+    ax.tick_params(axis='x', tick1On=True, tick2On=True, direction='out')
+
+
+@image_comparison(['polar_coords.png'], style='default', remove_text=True,
+                  tol=0.014)
+def test_polar_coord_annotations():
+    # You can also use polar notation on a cartesian axes.  Here the native
+    # coordinate system ('data') is cartesian, so you need to specify the
+    # xycoords and textcoords as 'polar' if you want to use (theta, radius).
+    el = mpl.patches.Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(aspect='equal')
+
+    ax.add_artist(el)
+    el.set_clip_box(ax.bbox)
+
+    ax.annotate('the top',
+                xy=(np.pi/2., 10.),      # theta, radius
+                xytext=(np.pi/3, 20.),   # theta, radius
+                xycoords='polar',
+                textcoords='polar',
+                arrowprops=dict(facecolor='black', shrink=0.05),
+                horizontalalignment='left',
+                verticalalignment='baseline',
+                clip_on=True,  # clip to the axes bounding box
+                )
+
+    ax.set_xlim(-20, 20)
+    ax.set_ylim(-20, 20)
+
+
+@image_comparison(['polar_alignment.png'])
+def test_polar_alignment():
+    # Test changing the vertical/horizontal alignment of a polar graph.
+    angles = np.arange(0, 360, 90)
+    grid_values = [0, 0.2, 0.4, 0.6, 0.8, 1]
+
+    fig = plt.figure()
+    rect = [0.1, 0.1, 0.8, 0.8]
+
+    horizontal = fig.add_axes(rect, polar=True, label='horizontal')
+    horizontal.set_thetagrids(angles)
+
+    vertical = fig.add_axes(rect, polar=True, label='vertical')
+    vertical.patch.set_visible(False)
+
+    for i in range(2):
+        fig.axes[i].set_rgrids(
+            grid_values, angle=angles[i],
+            horizontalalignment='left', verticalalignment='top')
+
+
+def test_polar_twice():
+    fig = plt.figure()
+    plt.polar([1, 2], [.1, .2])
+    plt.polar([3, 4], [.3, .4])
+    assert len(fig.axes) == 1, 'More than one polar Axes created.'
+
+
+@check_figures_equal()
+def test_polar_wrap(fig_test, fig_ref):
+    ax = fig_test.add_subplot(projection="polar")
+    ax.plot(np.deg2rad([179, -179]), [0.2, 0.1])
+    ax.plot(np.deg2rad([2, -2]), [0.2, 0.1])
+    ax = fig_ref.add_subplot(projection="polar")
+    ax.plot(np.deg2rad([179, 181]), [0.2, 0.1])
+    ax.plot(np.deg2rad([2, 358]), [0.2, 0.1])
+
+
+@check_figures_equal()
+def test_polar_units_1(fig_test, fig_ref):
+    import matplotlib.testing.jpl_units as units
+    units.register()
+    xs = [30.0, 45.0, 60.0, 90.0]
+    ys = [1.0, 2.0, 3.0, 4.0]
+
+    plt.figure(fig_test.number)
+    plt.polar([x * units.deg for x in xs], ys)
+
+    ax = fig_ref.add_subplot(projection="polar")
+    ax.plot(np.deg2rad(xs), ys)
+    ax.set(xlabel="deg")
+
+
+@check_figures_equal()
+def test_polar_units_2(fig_test, fig_ref):
+    import matplotlib.testing.jpl_units as units
+    units.register()
+    xs = [30.0, 45.0, 60.0, 90.0]
+    xs_deg = [x * units.deg for x in xs]
+    ys = [1.0, 2.0, 3.0, 4.0]
+    ys_km = [y * units.km for y in ys]
+
+    plt.figure(fig_test.number)
+    # test {theta,r}units.
+    plt.polar(xs_deg, ys_km, thetaunits="rad", runits="km")
+    assert isinstance(plt.gca().xaxis.get_major_formatter(),
+                      units.UnitDblFormatter)
+
+    ax = fig_ref.add_subplot(projection="polar")
+    ax.plot(np.deg2rad(xs), ys)
+    ax.xaxis.set_major_formatter(mpl.ticker.FuncFormatter("{:.12}".format))
+    ax.set(xlabel="rad", ylabel="km")
+
+
+@image_comparison(['polar_rmin.png'], style='default')
+def test_polar_rmin():
+    r = np.arange(0, 3.0, 0.01)
+    theta = 2*np.pi*r
+
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.plot(theta, r)
+    ax.set_rmax(2.0)
+    ax.set_rmin(0.5)
+
+
+@image_comparison(['polar_negative_rmin.png'], style='default')
+def test_polar_negative_rmin():
+    r = np.arange(-3.0, 0.0, 0.01)
+    theta = 2*np.pi*r
+
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.plot(theta, r)
+    ax.set_rmax(0.0)
+    ax.set_rmin(-3.0)
+
+
+@image_comparison(['polar_rorigin.png'], style='default')
+def test_polar_rorigin():
+    r = np.arange(0, 3.0, 0.01)
+    theta = 2*np.pi*r
+
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.plot(theta, r)
+    ax.set_rmax(2.0)
+    ax.set_rmin(0.5)
+    ax.set_rorigin(0.0)
+
+
+@image_comparison(['polar_invertedylim.png'], style='default')
+def test_polar_invertedylim():
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.set_ylim(2, 0)
+
+
+@image_comparison(['polar_invertedylim_rorigin.png'], style='default')
+def test_polar_invertedylim_rorigin():
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.yaxis.set_inverted(True)
+    # Set the rlims to inverted (2, 0) without calling set_rlim, to check that
+    # viewlims are correctly unstaled before draw()ing.
+    ax.plot([0, 0], [0, 2], c="none")
+    ax.margins(0)
+    ax.set_rorigin(3)
+
+
+@image_comparison(['polar_theta_position.png'], style='default')
+def test_polar_theta_position():
+    r = np.arange(0, 3.0, 0.01)
+    theta = 2*np.pi*r
+
+    fig = plt.figure()
+    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
+    ax.plot(theta, r)
+    ax.set_theta_zero_location("NW", 30)
+    ax.set_theta_direction('clockwise')
+
+
+@image_comparison(['polar_rlabel_position.png'], style='default')
+def test_polar_rlabel_position():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='polar')
+    ax.set_rlabel_position(315)
+    ax.tick_params(rotation='auto')
+
+
+@image_comparison(['polar_title_position.png'], style='mpl20')
+def test_polar_title_position():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='polar')
+    ax.set_title('foo')
+
+
+@image_comparison(['polar_theta_wedge.png'], style='default')
+def test_polar_theta_limits():
+    r = np.arange(0, 3.0, 0.01)
+    theta = 2*np.pi*r
+
+    theta_mins = np.arange(15.0, 361.0, 90.0)
+    theta_maxs = np.arange(50.0, 361.0, 90.0)
+    DIRECTIONS = ('out', 'in', 'inout')
+
+    fig, axs = plt.subplots(len(theta_mins), len(theta_maxs),
+                            subplot_kw={'polar': True},
+                            figsize=(8, 6))
+
+    for i, start in enumerate(theta_mins):
+        for j, end in enumerate(theta_maxs):
+            ax = axs[i, j]
+            ax.plot(theta, r)
+            if start < end:
+                ax.set_thetamin(start)
+                ax.set_thetamax(end)
+            else:
+                # Plot with clockwise orientation instead.
+                ax.set_thetamin(end)
+                ax.set_thetamax(start)
+                ax.set_theta_direction('clockwise')
+            ax.tick_params(tick1On=True, tick2On=True,
+                           direction=DIRECTIONS[i % len(DIRECTIONS)],
+                           rotation='auto')
+            ax.yaxis.set_tick_params(label2On=True, rotation='auto')
+            ax.xaxis.get_major_locator().base.set_params(  # backcompat
+                steps=[1, 2, 2.5, 5, 10])
+
+
+@check_figures_equal()
+def test_polar_rlim(fig_test, fig_ref):
+    ax = fig_test.subplots(subplot_kw={'polar': True})
+    ax.set_rlim(top=10)
+    ax.set_rlim(bottom=.5)
+
+    ax = fig_ref.subplots(subplot_kw={'polar': True})
+    ax.set_rmax(10.)
+    ax.set_rmin(.5)
+
+
+@check_figures_equal()
+def test_polar_rlim_bottom(fig_test, fig_ref):
+    ax = fig_test.subplots(subplot_kw={'polar': True})
+    ax.set_rlim(bottom=[.5, 10])
+
+    ax = fig_ref.subplots(subplot_kw={'polar': True})
+    ax.set_rmax(10.)
+    ax.set_rmin(.5)
+
+
+def test_polar_rlim_zero():
+    ax = plt.figure().add_subplot(projection='polar')
+    ax.plot(np.arange(10), np.arange(10) + .01)
+    assert ax.get_ylim()[0] == 0
+
+
+def test_polar_no_data():
+    plt.subplot(projection="polar")
+    ax = plt.gca()
+    assert ax.get_rmin() == 0 and ax.get_rmax() == 1
+    plt.close("all")
+    # Used to behave differently (by triggering an autoscale with no data).
+    plt.polar()
+    ax = plt.gca()
+    assert ax.get_rmin() == 0 and ax.get_rmax() == 1
+
+
+def test_polar_default_log_lims():
+    plt.subplot(projection='polar')
+    ax = plt.gca()
+    ax.set_rscale('log')
+    assert ax.get_rmin() > 0
+
+
+def test_polar_not_datalim_adjustable():
+    ax = plt.figure().add_subplot(projection="polar")
+    with pytest.raises(ValueError):
+        ax.set_adjustable("datalim")
+
+
+def test_polar_gridlines():
+    fig = plt.figure()
+    ax = fig.add_subplot(polar=True)
+    # make all major grid lines lighter, only x grid lines set in 2.1.0
+    ax.grid(alpha=0.2)
+    # hide y tick labels, no effect in 2.1.0
+    plt.setp(ax.yaxis.get_ticklabels(), visible=False)
+    fig.canvas.draw()
+    assert ax.xaxis.majorTicks[0].gridline.get_alpha() == .2
+    assert ax.yaxis.majorTicks[0].gridline.get_alpha() == .2
+
+
+def test_get_tightbbox_polar():
+    fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
+    fig.canvas.draw()
+    bb = ax.get_tightbbox(fig.canvas.get_renderer())
+    assert_allclose(
+        bb.extents, [107.7778,  29.2778, 539.7847, 450.7222], rtol=1e-03)
+
+
+@check_figures_equal()
+def test_polar_interpolation_steps_constant_r(fig_test, fig_ref):
+    # Check that an extra half-turn doesn't make any difference -- modulo
+    # antialiasing, which we disable here.
+    p1 = (fig_test.add_subplot(121, projection="polar")
+          .bar([0], [1], 3*np.pi, edgecolor="none", antialiased=False))
+    p2 = (fig_test.add_subplot(122, projection="polar")
+          .bar([0], [1], -3*np.pi, edgecolor="none", antialiased=False))
+    p3 = (fig_ref.add_subplot(121, projection="polar")
+          .bar([0], [1], 2*np.pi, edgecolor="none", antialiased=False))
+    p4 = (fig_ref.add_subplot(122, projection="polar")
+          .bar([0], [1], -2*np.pi, edgecolor="none", antialiased=False))
+
+
+@check_figures_equal()
+def test_polar_interpolation_steps_variable_r(fig_test, fig_ref):
+    l, = fig_test.add_subplot(projection="polar").plot([0, np.pi/2], [1, 2])
+    l.get_path()._interpolation_steps = 100
+    fig_ref.add_subplot(projection="polar").plot(
+        np.linspace(0, np.pi/2, 101), np.linspace(1, 2, 101))
+
+
+def test_thetalim_valid_invalid():
+    ax = plt.subplot(projection='polar')
+    ax.set_thetalim(0, 2 * np.pi)  # doesn't raise.
+    ax.set_thetalim(thetamin=800, thetamax=440)  # doesn't raise.
+    with pytest.raises(ValueError,
+                       match='angle range must be less than a full circle'):
+        ax.set_thetalim(0, 3 * np.pi)
+    with pytest.raises(ValueError,
+                       match='angle range must be less than a full circle'):
+        ax.set_thetalim(thetamin=800, thetamax=400)
+
+
+def test_thetalim_args():
+    ax = plt.subplot(projection='polar')
+    ax.set_thetalim(0, 1)
+    assert tuple(np.radians((ax.get_thetamin(), ax.get_thetamax()))) == (0, 1)
+    ax.set_thetalim((2, 3))
+    assert tuple(np.radians((ax.get_thetamin(), ax.get_thetamax()))) == (2, 3)
+
+
+def test_default_thetalocator():
+    # Ideally we would check AAAABBC, but the smallest axes currently puts a
+    # single tick at 150° because MaxNLocator doesn't have a way to accept 15°
+    # while rejecting 150°.
+    fig, axs = plt.subplot_mosaic(
+        "AAAABB.", subplot_kw={"projection": "polar"})
+    for ax in axs.values():
+        ax.set_thetalim(0, np.pi)
+    for ax in axs.values():
+        ticklocs = np.degrees(ax.xaxis.get_majorticklocs()).tolist()
+        assert pytest.approx(90) in ticklocs
+        assert pytest.approx(100) not in ticklocs
+
+
+def test_axvspan():
+    ax = plt.subplot(projection="polar")
+    span = ax.axvspan(0, np.pi/4)
+    assert span.get_path()._interpolation_steps > 1
+
+
+@check_figures_equal()
+def test_remove_shared_polar(fig_ref, fig_test):
+    # Removing shared polar axes used to crash.  Test removing them, keeping in
+    # both cases just the lower left axes of a grid to avoid running into a
+    # separate issue (now being fixed) of ticklabel visibility for shared axes.
+    axs = fig_ref.subplots(
+        2, 2, sharex=True, subplot_kw={"projection": "polar"})
+    for i in [0, 1, 3]:
+        axs.flat[i].remove()
+    axs = fig_test.subplots(
+        2, 2, sharey=True, subplot_kw={"projection": "polar"})
+    for i in [0, 1, 3]:
+        axs.flat[i].remove()
+
+
+def test_shared_polar_keeps_ticklabels():
+    fig, axs = plt.subplots(
+        2, 2, subplot_kw={"projection": "polar"}, sharex=True, sharey=True)
+    fig.canvas.draw()
+    assert axs[0, 1].xaxis.majorTicks[0].get_visible()
+    assert axs[0, 1].yaxis.majorTicks[0].get_visible()
+    fig, axs = plt.subplot_mosaic(
+        "ab\ncd", subplot_kw={"projection": "polar"}, sharex=True, sharey=True)
+    fig.canvas.draw()
+    assert axs["b"].xaxis.majorTicks[0].get_visible()
+    assert axs["b"].yaxis.majorTicks[0].get_visible()
+
+
+def test_axvline_axvspan_do_not_modify_rlims():
+    ax = plt.subplot(projection="polar")
+    ax.axvspan(0, 1)
+    ax.axvline(.5)
+    ax.plot([.1, .2])
+    assert ax.get_ylim() == (0, .2)
+
+
+def test_cursor_precision():
+    ax = plt.subplot(projection="polar")
+    # Higher radii correspond to higher theta-precisions.
+    assert ax.format_coord(0, 0.005) == "θ=0.0π (0°), r=0.005"
+    assert ax.format_coord(0, .1) == "θ=0.00π (0°), r=0.100"
+    assert ax.format_coord(0, 1) == "θ=0.000π (0.0°), r=1.000"
+    assert ax.format_coord(1, 0.005) == "θ=0.3π (57°), r=0.005"
+    assert ax.format_coord(1, .1) == "θ=0.32π (57°), r=0.100"
+    assert ax.format_coord(1, 1) == "θ=0.318π (57.3°), r=1.000"
+    assert ax.format_coord(2, 0.005) == "θ=0.6π (115°), r=0.005"
+    assert ax.format_coord(2, .1) == "θ=0.64π (115°), r=0.100"
+    assert ax.format_coord(2, 1) == "θ=0.637π (114.6°), r=1.000"
+
+
+def test_custom_fmt_data():
+    ax = plt.subplot(projection="polar")
+    def millions(x):
+        return '$%1.1fM' % (x*1e-6)
+
+    # Test only x formatter
+    ax.fmt_xdata = None
+    ax.fmt_ydata = millions
+    assert ax.format_coord(12, 2e7) == "θ=3.8197186342π (687.54935416°), r=$20.0M"
+    assert ax.format_coord(1234, 2e6) == "θ=392.794399551π (70702.9919191°), r=$2.0M"
+    assert ax.format_coord(3, 100) == "θ=0.95493π (171.887°), r=$0.0M"
+
+    # Test only y formatter
+    ax.fmt_xdata = millions
+    ax.fmt_ydata = None
+    assert ax.format_coord(2e5, 1) == "θ=$0.2M, r=1.000"
+    assert ax.format_coord(1, .1) == "θ=$0.0M, r=0.100"
+    assert ax.format_coord(1e6, 0.005) == "θ=$1.0M, r=0.005"
+
+    # Test both x and y formatters
+    ax.fmt_xdata = millions
+    ax.fmt_ydata = millions
+    assert ax.format_coord(2e6, 2e4*3e5) == "θ=$2.0M, r=$6000.0M"
+    assert ax.format_coord(1e18, 12891328123) == "θ=$1000000000000.0M, r=$12891.3M"
+    assert ax.format_coord(63**7, 1081968*1024) == "θ=$3938980.6M, r=$1107.9M"
+
+
+@image_comparison(['polar_log.png'], style='default')
+def test_polar_log():
+    fig = plt.figure()
+    ax = fig.add_subplot(polar=True)
+
+    ax.set_rscale('log')
+    ax.set_rlim(1, 1000)
+
+    n = 100
+    ax.plot(np.linspace(0, 2 * np.pi, n), np.logspace(0, 2, n))
+
+
+def test_polar_neg_theta_lims():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='polar')
+    ax.set_thetalim(-np.pi, np.pi)
+    labels = [l.get_text() for l in ax.xaxis.get_ticklabels()]
+    assert labels == ['-180°', '-135°', '-90°', '-45°', '0°', '45°', '90°', '135°']
+
+
+@pytest.mark.parametrize("order", ["before", "after"])
+@image_comparison(baseline_images=['polar_errorbar.png'], remove_text=True,
+                  style='mpl20')
+def test_polar_errorbar(order):
+    theta = np.arange(0, 2 * np.pi, np.pi / 8)
+    r = theta / np.pi / 2 + 0.5
+    fig = plt.figure(figsize=(5, 5))
+    ax = fig.add_subplot(projection='polar')
+    if order == "before":
+        ax.set_theta_zero_location("N")
+        ax.set_theta_direction(-1)
+        ax.errorbar(theta, r, xerr=0.1, yerr=0.1, capsize=7, fmt="o", c="seagreen")
+    else:
+        ax.errorbar(theta, r, xerr=0.1, yerr=0.1, capsize=7, fmt="o", c="seagreen")
+        ax.set_theta_zero_location("N")
+        ax.set_theta_direction(-1)
+
+
+def test_radial_limits_behavior():
+    # r=0 is kept as limit if positive data and ticks are used
+    # negative ticks or data result in negative limits
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='polar')
+    assert ax.get_ylim() == (0, 1)
+    # upper limit is expanded to include the ticks, but lower limit stays at 0
+    ax.set_rticks([1, 2, 3, 4])
+    assert ax.get_ylim() == (0, 4)
+    # upper limit is autoscaled to data, but lower limit limit stays 0
+    ax.plot([1, 2], [1, 2])
+    assert ax.get_ylim() == (0, 2)
+    # negative ticks also expand the negative limit
+    ax.set_rticks([-1, 0, 1, 2])
+    assert ax.get_ylim() == (-1, 2)
+    # negative data also autoscales to negative limits
+    ax.plot([1, 2], [-1, -2])
+    assert ax.get_ylim() == (-2, 2)
diff --git a/lib/matplotlib/tests/test_preprocess_data.py b/lib/matplotlib/tests/test_preprocess_data.py
new file mode 100644
index 000000000000..c983d78786e1
--- /dev/null
+++ b/lib/matplotlib/tests/test_preprocess_data.py
@@ -0,0 +1,288 @@
+import re
+import sys
+
+import numpy as np
+import pytest
+
+from matplotlib import _preprocess_data
+from matplotlib.axes import Axes
+from matplotlib.testing import subprocess_run_for_testing
+from matplotlib.testing.decorators import check_figures_equal
+
+# Notes on testing the plotting functions itself
+# *   the individual decorated plotting functions are tested in 'test_axes.py'
+# *   that pyplot functions accept a data kwarg is only tested in
+#     test_axes.test_pie_linewidth_0
+
+
+# this gets used in multiple tests, so define it here
+@_preprocess_data(replace_names=["x", "y"], label_namer="y")
+def plot_func(ax, x, y, ls="x", label=None, w="xyz"):
+    return f"x: {list(x)}, y: {list(y)}, ls: {ls}, w: {w}, label: {label}"
+
+
+all_funcs = [plot_func]
+all_func_ids = ['plot_func']
+
+
+def test_compiletime_checks():
+    """Test decorator invocations -> no replacements."""
+
+    def func(ax, x, y): pass
+    def func_args(ax, x, y, *args): pass
+    def func_kwargs(ax, x, y, **kwargs): pass
+    def func_no_ax_args(*args, **kwargs): pass
+
+    # this is ok
+    _preprocess_data(replace_names=["x", "y"])(func)
+    _preprocess_data(replace_names=["x", "y"])(func_kwargs)
+    # this has "enough" information to do all the replaces
+    _preprocess_data(replace_names=["x", "y"])(func_args)
+
+    # no positional_parameter_names but needed due to replaces
+    with pytest.raises(AssertionError):
+        # z is unknown
+        _preprocess_data(replace_names=["x", "y", "z"])(func_args)
+
+    # no replacements at all -> all ok...
+    _preprocess_data(replace_names=[], label_namer=None)(func)
+    _preprocess_data(replace_names=[], label_namer=None)(func_args)
+    _preprocess_data(replace_names=[], label_namer=None)(func_kwargs)
+    _preprocess_data(replace_names=[], label_namer=None)(func_no_ax_args)
+
+    # label namer is unknown
+    with pytest.raises(AssertionError):
+        _preprocess_data(label_namer="z")(func)
+
+    with pytest.raises(AssertionError):
+        _preprocess_data(label_namer="z")(func_args)
+
+
+@pytest.mark.parametrize('func', all_funcs, ids=all_func_ids)
+def test_function_call_without_data(func):
+    """Test without data -> no replacements."""
+    assert (func(None, "x", "y") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: None")
+    assert (func(None, x="x", y="y") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: None")
+    assert (func(None, "x", "y", label="") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: ")
+    assert (func(None, "x", "y", label="text") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: text")
+    assert (func(None, x="x", y="y", label="") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: ")
+    assert (func(None, x="x", y="y", label="text") ==
+            "x: ['x'], y: ['y'], ls: x, w: xyz, label: text")
+
+
+@pytest.mark.parametrize('func', all_funcs, ids=all_func_ids)
+def test_function_call_with_dict_input(func):
+    """Tests with dict input, unpacking via preprocess_pipeline"""
+    data = {'a': 1, 'b': 2}
+    assert (func(None, data.keys(), data.values()) ==
+            "x: ['a', 'b'], y: [1, 2], ls: x, w: xyz, label: None")
+
+
+@pytest.mark.parametrize('func', all_funcs, ids=all_func_ids)
+def test_function_call_with_dict_data(func):
+    """Test with dict data -> label comes from the value of 'x' parameter."""
+    data = {"a": [1, 2], "b": [8, 9], "w": "NOT"}
+    assert (func(None, "a", "b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func(None, x="a", y="b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func(None, "a", "b", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (func(None, "a", "b", label="text", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+    assert (func(None, x="a", y="b", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (func(None, x="a", y="b", label="text", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+
+
+@pytest.mark.parametrize('func', all_funcs, ids=all_func_ids)
+def test_function_call_with_dict_data_not_in_data(func):
+    """Test the case that one var is not in data -> half replaces, half kept"""
+    data = {"a": [1, 2], "w": "NOT"}
+    assert (func(None, "a", "b", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: b")
+    assert (func(None, x="a", y="b", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: b")
+    assert (func(None, "a", "b", label="", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: ")
+    assert (func(None, "a", "b", label="text", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: text")
+    assert (func(None, x="a", y="b", label="", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: ")
+    assert (func(None, x="a", y="b", label="text", data=data) ==
+            "x: [1, 2], y: ['b'], ls: x, w: xyz, label: text")
+
+
+@pytest.mark.parametrize('func', all_funcs, ids=all_func_ids)
+def test_function_call_with_pandas_data(func, pd):
+    """Test with pandas dataframe -> label comes from ``data["col"].name``."""
+    data = pd.DataFrame({"a": np.array([1, 2], dtype=np.int32),
+                         "b": np.array([8, 9], dtype=np.int32),
+                         "w": ["NOT", "NOT"]})
+
+    assert (func(None, "a", "b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func(None, x="a", y="b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func(None, "a", "b", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (func(None, "a", "b", label="text", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+    assert (func(None, x="a", y="b", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (func(None, x="a", y="b", label="text", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+
+
+def test_function_call_replace_all():
+    """Test without a "replace_names" argument, all vars should be replaced."""
+    data = {"a": [1, 2], "b": [8, 9], "x": "xyz"}
+
+    @_preprocess_data(label_namer="y")
+    def func_replace_all(ax, x, y, ls="x", label=None, w="NOT"):
+        return f"x: {list(x)}, y: {list(y)}, ls: {ls}, w: {w}, label: {label}"
+
+    assert (func_replace_all(None, "a", "b", w="x", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func_replace_all(None, x="a", y="b", w="x", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: b")
+    assert (func_replace_all(None, "a", "b", w="x", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (
+        func_replace_all(None, "a", "b", w="x", label="text", data=data) ==
+        "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+    assert (
+        func_replace_all(None, x="a", y="b", w="x", label="", data=data) ==
+        "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (
+        func_replace_all(None, x="a", y="b", w="x", label="text", data=data) ==
+        "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+
+
+def test_no_label_replacements():
+    """Test with "label_namer=None" -> no label replacement at all."""
+
+    @_preprocess_data(replace_names=["x", "y"], label_namer=None)
+    def func_no_label(ax, x, y, ls="x", label=None, w="xyz"):
+        return f"x: {list(x)}, y: {list(y)}, ls: {ls}, w: {w}, label: {label}"
+
+    data = {"a": [1, 2], "b": [8, 9], "w": "NOT"}
+    assert (func_no_label(None, "a", "b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: None")
+    assert (func_no_label(None, x="a", y="b", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: None")
+    assert (func_no_label(None, "a", "b", label="", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: ")
+    assert (func_no_label(None, "a", "b", label="text", data=data) ==
+            "x: [1, 2], y: [8, 9], ls: x, w: xyz, label: text")
+
+
+def test_more_args_than_pos_parameter():
+    @_preprocess_data(replace_names=["x", "y"], label_namer="y")
+    def func(ax, x, y, z=1):
+        pass
+
+    data = {"a": [1, 2], "b": [8, 9], "w": "NOT"}
+    with pytest.raises(TypeError):
+        func(None, "a", "b", "z", "z", data=data)
+
+
+def test_docstring_addition():
+    @_preprocess_data()
+    def funcy(ax, *args, **kwargs):
+        """
+        Parameters
+        ----------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        """
+
+    assert re.search(r"all parameters also accept a string", funcy.__doc__)
+    assert not re.search(r"the following parameters", funcy.__doc__)
+
+    @_preprocess_data(replace_names=[])
+    def funcy(ax, x, y, z, bar=None):
+        """
+        Parameters
+        ----------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        """
+
+    assert not re.search(r"all parameters also accept a string", funcy.__doc__)
+    assert not re.search(r"the following parameters", funcy.__doc__)
+
+    @_preprocess_data(replace_names=["bar"])
+    def funcy(ax, x, y, z, bar=None):
+        """
+        Parameters
+        ----------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        """
+
+    assert not re.search(r"all parameters also accept a string", funcy.__doc__)
+    assert not re.search(r"the following parameters .*: \*bar\*\.",
+                         funcy.__doc__)
+
+    @_preprocess_data(replace_names=["x", "t"])
+    def funcy(ax, x, y, z, t=None):
+        """
+        Parameters
+        ----------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        """
+
+    assert not re.search(r"all parameters also accept a string", funcy.__doc__)
+    assert not re.search(r"the following parameters .*: \*x\*, \*t\*\.",
+                         funcy.__doc__)
+
+
+def test_data_parameter_replacement():
+    """
+    Test that the docstring contains the correct *data* parameter stub
+    for all methods that we run _preprocess_data() on.
+    """
+    program = (
+        "import logging; "
+        "logging.basicConfig(level=logging.DEBUG); "
+        "import matplotlib.pyplot as plt"
+    )
+    cmd = [sys.executable, "-c", program]
+    completed_proc = subprocess_run_for_testing(
+        cmd, text=True, capture_output=True
+    )
+    assert 'data parameter docstring error' not in completed_proc.stderr
+
+
+class TestPlotTypes:
+
+    plotters = [Axes.scatter, Axes.bar, Axes.plot]
+
+    @pytest.mark.parametrize('plotter', plotters)
+    @check_figures_equal()
+    def test_dict_unpack(self, plotter, fig_test, fig_ref):
+        x = [1, 2, 3]
+        y = [4, 5, 6]
+        ddict = dict(zip(x, y))
+
+        plotter(fig_test.subplots(),
+                ddict.keys(), ddict.values())
+        plotter(fig_ref.subplots(), x, y)
+
+    @pytest.mark.parametrize('plotter', plotters)
+    @check_figures_equal()
+    def test_data_kwarg(self, plotter, fig_test, fig_ref):
+        x = [1, 2, 3]
+        y = [4, 5, 6]
+
+        plotter(fig_test.subplots(), 'xval', 'yval',
+                data={'xval': x, 'yval': y})
+        plotter(fig_ref.subplots(), x, y)
diff --git a/lib/matplotlib/tests/test_pyplot.py b/lib/matplotlib/tests/test_pyplot.py
new file mode 100644
index 000000000000..ab713707bace
--- /dev/null
+++ b/lib/matplotlib/tests/test_pyplot.py
@@ -0,0 +1,486 @@
+import difflib
+
+import numpy as np
+import sys
+from pathlib import Path
+
+import pytest
+
+import matplotlib as mpl
+from matplotlib.testing import subprocess_run_for_testing
+from matplotlib import pyplot as plt
+
+
+def test_pyplot_up_to_date(tmp_path):
+    pytest.importorskip("black")
+
+    gen_script = Path(mpl.__file__).parents[2] / "tools/boilerplate.py"
+    if not gen_script.exists():
+        pytest.skip("boilerplate.py not found")
+    orig_contents = Path(plt.__file__).read_text()
+    plt_file = tmp_path / 'pyplot.py'
+    plt_file.write_text(orig_contents, 'utf-8')
+
+    subprocess_run_for_testing(
+        [sys.executable, str(gen_script), str(plt_file)],
+        check=True)
+    new_contents = plt_file.read_text('utf-8')
+
+    if orig_contents != new_contents:
+        diff_msg = '\n'.join(
+            difflib.unified_diff(
+                orig_contents.split('\n'), new_contents.split('\n'),
+                fromfile='found pyplot.py',
+                tofile='expected pyplot.py',
+                n=0, lineterm=''))
+        pytest.fail(
+            "pyplot.py is not up-to-date. Please run "
+            "'python tools/boilerplate.py' to update pyplot.py. "
+            "This needs to be done from an environment where your "
+            "current working copy is installed (e.g. 'pip install -e'd). "
+            "Here is a diff of unexpected differences:\n%s" % diff_msg
+        )
+
+
+def test_copy_docstring_and_deprecators(recwarn):
+    @mpl._api.rename_parameter(mpl.__version__, "old", "new")
+    @mpl._api.make_keyword_only(mpl.__version__, "kwo")
+    def func(new, kwo=None):
+        pass
+
+    @plt._copy_docstring_and_deprecators(func)
+    def wrapper_func(new, kwo=None):
+        pass
+
+    wrapper_func(None)
+    wrapper_func(new=None)
+    wrapper_func(None, kwo=None)
+    wrapper_func(new=None, kwo=None)
+    assert not recwarn
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        wrapper_func(old=None)
+    with pytest.warns(mpl.MatplotlibDeprecationWarning):
+        wrapper_func(None, None)
+
+
+def test_pyplot_box():
+    fig, ax = plt.subplots()
+    plt.box(False)
+    assert not ax.get_frame_on()
+    plt.box(True)
+    assert ax.get_frame_on()
+    plt.box()
+    assert not ax.get_frame_on()
+    plt.box()
+    assert ax.get_frame_on()
+
+
+def test_stackplot_smoke():
+    # Small smoke test for stackplot (see #12405)
+    plt.stackplot([1, 2, 3], [1, 2, 3])
+
+
+def test_nrows_error():
+    with pytest.raises(TypeError):
+        plt.subplot(nrows=1)
+    with pytest.raises(TypeError):
+        plt.subplot(ncols=1)
+
+
+def test_ioff():
+    plt.ion()
+    assert mpl.is_interactive()
+    with plt.ioff():
+        assert not mpl.is_interactive()
+    assert mpl.is_interactive()
+
+    plt.ioff()
+    assert not mpl.is_interactive()
+    with plt.ioff():
+        assert not mpl.is_interactive()
+    assert not mpl.is_interactive()
+
+
+def test_ion():
+    plt.ioff()
+    assert not mpl.is_interactive()
+    with plt.ion():
+        assert mpl.is_interactive()
+    assert not mpl.is_interactive()
+
+    plt.ion()
+    assert mpl.is_interactive()
+    with plt.ion():
+        assert mpl.is_interactive()
+    assert mpl.is_interactive()
+
+
+def test_nested_ion_ioff():
+    # initial state is interactive
+    plt.ion()
+
+    # mixed ioff/ion
+    with plt.ioff():
+        assert not mpl.is_interactive()
+        with plt.ion():
+            assert mpl.is_interactive()
+        assert not mpl.is_interactive()
+    assert mpl.is_interactive()
+
+    # redundant contexts
+    with plt.ioff():
+        with plt.ioff():
+            assert not mpl.is_interactive()
+    assert mpl.is_interactive()
+
+    with plt.ion():
+        plt.ioff()
+    assert mpl.is_interactive()
+
+    # initial state is not interactive
+    plt.ioff()
+
+    # mixed ioff/ion
+    with plt.ion():
+        assert mpl.is_interactive()
+        with plt.ioff():
+            assert not mpl.is_interactive()
+        assert mpl.is_interactive()
+    assert not mpl.is_interactive()
+
+    # redundant contexts
+    with plt.ion():
+        with plt.ion():
+            assert mpl.is_interactive()
+    assert not mpl.is_interactive()
+
+    with plt.ioff():
+        plt.ion()
+    assert not mpl.is_interactive()
+
+
+def test_close():
+    try:
+        plt.close(1.1)
+    except TypeError as e:
+        assert str(e) == (
+            "'fig' must be an instance of matplotlib.figure.Figure, int, str "
+            "or None, not a float")
+
+
+def test_subplot_reuse():
+    ax1 = plt.subplot(121)
+    assert ax1 is plt.gca()
+    ax2 = plt.subplot(122)
+    assert ax2 is plt.gca()
+    ax3 = plt.subplot(121)
+    assert ax1 is plt.gca()
+    assert ax1 is ax3
+
+
+def test_axes_kwargs():
+    # plt.axes() always creates new axes, even if axes kwargs differ.
+    plt.figure()
+    ax = plt.axes()
+    ax1 = plt.axes()
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    plt.figure()
+    ax = plt.axes(projection='polar')
+    ax1 = plt.axes(projection='polar')
+    assert ax is not None
+    assert ax1 is not ax
+    plt.close()
+
+    plt.figure()
+    ax = plt.axes(projection='polar')
+    ax1 = plt.axes()
+    assert ax is not None
+    assert ax1.name == 'rectilinear'
+    assert ax1 is not ax
+    plt.close()
+
+
+def test_subplot_replace_projection():
+    # plt.subplot() searches for axes with the same subplot spec, and if one
+    # exists, and the kwargs match returns it, create a new one if they do not
+    fig = plt.figure()
+    ax = plt.subplot(1, 2, 1)
+    ax1 = plt.subplot(1, 2, 1)
+    ax2 = plt.subplot(1, 2, 2)
+    ax3 = plt.subplot(1, 2, 1, projection='polar')
+    ax4 = plt.subplot(1, 2, 1, projection='polar')
+    assert ax is not None
+    assert ax1 is ax
+    assert ax2 is not ax
+    assert ax3 is not ax
+    assert ax3 is ax4
+
+    assert ax in fig.axes
+    assert ax2 in fig.axes
+    assert ax3 in fig.axes
+
+    assert ax.name == 'rectilinear'
+    assert ax2.name == 'rectilinear'
+    assert ax3.name == 'polar'
+
+
+def test_subplot_kwarg_collision():
+    ax1 = plt.subplot(projection='polar', theta_offset=0)
+    ax2 = plt.subplot(projection='polar', theta_offset=0)
+    assert ax1 is ax2
+    ax1.remove()
+    ax3 = plt.subplot(projection='polar', theta_offset=1)
+    assert ax1 is not ax3
+    assert ax1 not in plt.gcf().axes
+
+
+def test_gca():
+    # plt.gca() returns an existing axes, unless there were no axes.
+    plt.figure()
+    ax = plt.gca()
+    ax1 = plt.gca()
+    assert ax is not None
+    assert ax1 is ax
+    plt.close()
+
+
+def test_subplot_projection_reuse():
+    # create an Axes
+    ax1 = plt.subplot(111)
+    # check that it is current
+    assert ax1 is plt.gca()
+    # make sure we get it back if we ask again
+    assert ax1 is plt.subplot(111)
+    # remove it
+    ax1.remove()
+    # create a polar plot
+    ax2 = plt.subplot(111, projection='polar')
+    assert ax2 is plt.gca()
+    # this should have deleted the first axes
+    assert ax1 not in plt.gcf().axes
+    # assert we get it back if no extra parameters passed
+    assert ax2 is plt.subplot(111)
+    ax2.remove()
+    # now check explicitly setting the projection to rectilinear
+    # makes a new axes
+    ax3 = plt.subplot(111, projection='rectilinear')
+    assert ax3 is plt.gca()
+    assert ax3 is not ax2
+    assert ax2 not in plt.gcf().axes
+
+
+def test_subplot_polar_normalization():
+    ax1 = plt.subplot(111, projection='polar')
+    ax2 = plt.subplot(111, polar=True)
+    ax3 = plt.subplot(111, polar=True, projection='polar')
+    assert ax1 is ax2
+    assert ax1 is ax3
+
+    with pytest.raises(ValueError,
+                       match="polar=True, yet projection='3d'"):
+        ax2 = plt.subplot(111, polar=True, projection='3d')
+
+
+def test_subplot_change_projection():
+    created_axes = set()
+    ax = plt.subplot()
+    created_axes.add(ax)
+    projections = ('aitoff', 'hammer', 'lambert', 'mollweide',
+                   'polar', 'rectilinear', '3d')
+    for proj in projections:
+        ax.remove()
+        ax = plt.subplot(projection=proj)
+        assert ax is plt.subplot()
+        assert ax.name == proj
+        created_axes.add(ax)
+    # Check that each call created a new Axes.
+    assert len(created_axes) == 1 + len(projections)
+
+
+def test_polar_second_call():
+    # the first call creates the axes with polar projection
+    ln1, = plt.polar(0., 1., 'ro')
+    assert isinstance(ln1, mpl.lines.Line2D)
+    # the second call should reuse the existing axes
+    ln2, = plt.polar(1.57, .5, 'bo')
+    assert isinstance(ln2, mpl.lines.Line2D)
+    assert ln1.axes is ln2.axes
+
+
+def test_fallback_position():
+    # check that position kwarg works if rect not supplied
+    axref = plt.axes([0.2, 0.2, 0.5, 0.5])
+    axtest = plt.axes(position=[0.2, 0.2, 0.5, 0.5])
+    np.testing.assert_allclose(axtest.bbox.get_points(),
+                               axref.bbox.get_points())
+
+    # check that position kwarg ignored if rect is supplied
+    axref = plt.axes([0.2, 0.2, 0.5, 0.5])
+    axtest = plt.axes([0.2, 0.2, 0.5, 0.5], position=[0.1, 0.1, 0.8, 0.8])
+    np.testing.assert_allclose(axtest.bbox.get_points(),
+                               axref.bbox.get_points())
+
+
+def test_set_current_figure_via_subfigure():
+    fig1 = plt.figure()
+    subfigs = fig1.subfigures(2)
+
+    plt.figure()
+    assert plt.gcf() != fig1
+
+    current = plt.figure(subfigs[1])
+    assert plt.gcf() == fig1
+    assert current == fig1
+
+
+def test_set_current_axes_on_subfigure():
+    fig = plt.figure()
+    subfigs = fig.subfigures(2)
+
+    ax = subfigs[0].subplots(1, squeeze=True)
+    subfigs[1].subplots(1, squeeze=True)
+
+    assert plt.gca() != ax
+    plt.sca(ax)
+    assert plt.gca() == ax
+
+
+def test_pylab_integration():
+    IPython = pytest.importorskip("IPython")
+    mpl.testing.subprocess_run_helper(
+        IPython.start_ipython,
+        "--pylab",
+        "-c",
+        ";".join((
+            "import matplotlib.pyplot as plt",
+            "assert plt._REPL_DISPLAYHOOK == plt._ReplDisplayHook.IPYTHON",
+        )),
+        timeout=60,
+    )
+
+
+def test_doc_pyplot_summary():
+    """Test that pyplot_summary lists all the plot functions."""
+    pyplot_docs = Path(__file__).parent / '../../../doc/api/pyplot_summary.rst'
+    if not pyplot_docs.exists():
+        pytest.skip("Documentation sources not available")
+
+    def extract_documented_functions(lines):
+        """
+        Return a list of all the functions that are mentioned in the
+        autosummary blocks contained in *lines*.
+
+        An autosummary block looks like this::
+
+            .. autosummary::
+               :toctree: _as_gen
+               :template: autosummary.rst
+               :nosignatures:
+
+               plot
+               errorbar
+
+        """
+        functions = []
+        in_autosummary = False
+        for line in lines:
+            if not in_autosummary:
+                if line.startswith(".. autosummary::"):
+                    in_autosummary = True
+            else:
+                if not line or line.startswith("   :"):
+                    # empty line or autosummary parameter
+                    continue
+                if not line[0].isspace():
+                    # no more indentation: end of autosummary block
+                    in_autosummary = False
+                    continue
+                functions.append(line.strip())
+        return functions
+
+    lines = pyplot_docs.read_text().split("\n")
+    doc_functions = set(extract_documented_functions(lines))
+    plot_commands = set(plt._get_pyplot_commands())
+    missing = plot_commands.difference(doc_functions)
+    if missing:
+        raise AssertionError(
+            f"The following pyplot functions are not listed in the "
+            f"documentation. Please add them to doc/api/pyplot_summary.rst: "
+            f"{missing!r}")
+    extra = doc_functions.difference(plot_commands)
+    if extra:
+        raise AssertionError(
+            f"The following functions are listed in the pyplot documentation, "
+            f"but they do not exist in pyplot. "
+            f"Please remove them from doc/api/pyplot_summary.rst: {extra!r}")
+
+
+def test_minor_ticks():
+    plt.figure()
+    plt.plot(np.arange(1, 10))
+    tick_pos, tick_labels = plt.xticks(minor=True)
+    assert np.all(tick_labels == np.array([], dtype=np.float64))
+    assert tick_labels == []
+
+    plt.yticks(ticks=[3.5, 6.5], labels=["a", "b"], minor=True)
+    ax = plt.gca()
+    tick_pos = ax.get_yticks(minor=True)
+    tick_labels = ax.get_yticklabels(minor=True)
+    assert np.all(tick_pos == np.array([3.5, 6.5]))
+    assert [l.get_text() for l in tick_labels] == ['a', 'b']
+
+
+def test_switch_backend_no_close():
+    plt.switch_backend('agg')
+    fig = plt.figure()
+    fig = plt.figure()
+    assert len(plt.get_fignums()) == 2
+    plt.switch_backend('agg')
+    assert len(plt.get_fignums()) == 2
+    plt.switch_backend('svg')
+    assert len(plt.get_fignums()) == 2
+
+
+def figure_hook_example(figure):
+    figure._test_was_here = True
+
+
+def test_figure_hook():
+
+    test_rc = {
+        'figure.hooks': ['matplotlib.tests.test_pyplot:figure_hook_example']
+    }
+    with mpl.rc_context(test_rc):
+        fig = plt.figure()
+
+    assert fig._test_was_here
+
+
+def test_multiple_same_figure_calls():
+    fig = plt.figure(1, figsize=(1, 2))
+    with pytest.warns(UserWarning, match="Ignoring specified arguments in this call"):
+        fig2 = plt.figure(1, figsize=np.array([3, 4]))
+    with pytest.warns(UserWarning, match="Ignoring specified arguments in this call"):
+        plt.figure(fig, figsize=np.array([5, 6]))
+    assert fig is fig2
+    fig3 = plt.figure(1)  # Checks for false warnings
+    assert fig is fig3
+
+
+def test_close_all_warning():
+    fig1 = plt.figure()
+
+    # Check that the warning is issued when 'all' is passed to plt.figure
+    with pytest.warns(UserWarning, match="closes all existing figures"):
+        fig2 = plt.figure("all")
+
+
+def test_matshow():
+    fig = plt.figure()
+    arr = [[0, 1], [1, 2]]
+
+    # Smoke test that matshow does not ask for a new figsize on the existing figure
+    plt.matshow(arr, fignum=fig.number)
diff --git a/lib/matplotlib/tests/test_quiver.py b/lib/matplotlib/tests/test_quiver.py
index ac4bccf98dc3..1205487cfe94 100644
--- a/lib/matplotlib/tests/test_quiver.py
+++ b/lib/matplotlib/tests/test_quiver.py
@@ -1,37 +1,41 @@
-from __future__ import print_function
-import os
-import tempfile
-import numpy as np
+import platform
 import sys
+
+import numpy as np
+import pytest
+
 from matplotlib import pyplot as plt
-from matplotlib.testing.decorators import cleanup
 from matplotlib.testing.decorators import image_comparison
+from matplotlib.testing.decorators import check_figures_equal
 
 
-def draw_quiver(ax, **kw):
+def draw_quiver(ax, **kwargs):
     X, Y = np.meshgrid(np.arange(0, 2 * np.pi, 1),
                        np.arange(0, 2 * np.pi, 1))
     U = np.cos(X)
     V = np.sin(Y)
 
-    Q = ax.quiver(U, V, **kw)
+    Q = ax.quiver(U, V, **kwargs)
     return Q
 
 
-@cleanup
+@pytest.mark.skipif(platform.python_implementation() != 'CPython',
+                    reason='Requires CPython')
 def test_quiver_memory_leak():
     fig, ax = plt.subplots()
 
     Q = draw_quiver(ax)
     ttX = Q.X
+    orig_refcount = sys.getrefcount(ttX)
     Q.remove()
 
     del Q
 
-    assert sys.getrefcount(ttX) == 2
+    assert sys.getrefcount(ttX) < orig_refcount
 
 
-@cleanup
+@pytest.mark.skipif(platform.python_implementation() != 'CPython',
+                    reason='Requires CPython')
 def test_quiver_key_memory_leak():
     fig, ax = plt.subplots()
 
@@ -40,40 +44,344 @@ def test_quiver_key_memory_leak():
     qk = ax.quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$',
                       labelpos='W',
                       fontproperties={'weight': 'bold'})
-    assert sys.getrefcount(qk) == 3
+    orig_refcount = sys.getrefcount(qk)
     qk.remove()
-    assert sys.getrefcount(qk) == 2
+    assert sys.getrefcount(qk) < orig_refcount
+
+
+def test_quiver_number_of_args():
+    X = [1, 2]
+    with pytest.raises(
+            TypeError,
+            match='takes from 2 to 5 positional arguments but 1 were given'):
+        plt.quiver(X)
+    with pytest.raises(
+            TypeError,
+            match='takes from 2 to 5 positional arguments but 6 were given'):
+        plt.quiver(X, X, X, X, X, X)
+
+
+def test_quiver_arg_sizes():
+    X2 = [1, 2]
+    X3 = [1, 2, 3]
+    with pytest.raises(
+            ValueError, match=('X and Y must be the same size, but '
+                               'X.size is 2 and Y.size is 3.')):
+        plt.quiver(X2, X3, X2, X2)
+    with pytest.raises(
+            ValueError, match=('Argument U has a size 3 which does not match '
+                               '2, the number of arrow positions')):
+        plt.quiver(X2, X2, X3, X2)
+    with pytest.raises(
+            ValueError, match=('Argument V has a size 3 which does not match '
+                               '2, the number of arrow positions')):
+        plt.quiver(X2, X2, X2, X3)
+    with pytest.raises(
+            ValueError, match=('Argument C has a size 3 which does not match '
+                               '2, the number of arrow positions')):
+        plt.quiver(X2, X2, X2, X2, X3)
+
+
+def test_no_warnings():
+    fig, ax = plt.subplots()
+    X, Y = np.meshgrid(np.arange(15), np.arange(10))
+    U = V = np.ones_like(X)
+    phi = (np.random.rand(15, 10) - .5) * 150
+    ax.quiver(X, Y, U, V, angles=phi)
+    fig.canvas.draw()  # Check that no warning is emitted.
 
 
-@image_comparison(baseline_images=['quiver_animated_test_image'],
-                  extensions=['png'])
+def test_zero_headlength():
+    # Based on report by Doug McNeil:
+    # https://discourse.matplotlib.org/t/quiver-warnings/16722
+    fig, ax = plt.subplots()
+    X, Y = np.meshgrid(np.arange(10), np.arange(10))
+    U, V = np.cos(X), np.sin(Y)
+    ax.quiver(U, V, headlength=0, headaxislength=0)
+    fig.canvas.draw()  # Check that no warning is emitted.
+
+
+@image_comparison(['quiver_animated_test_image.png'])
 def test_quiver_animate():
     # Tests fix for #2616
     fig, ax = plt.subplots()
-
     Q = draw_quiver(ax, animated=True)
-
-    qk = ax.quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$',
-                      labelpos='W',
-                      fontproperties={'weight': 'bold'})
+    ax.quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$',
+                 labelpos='W', fontproperties={'weight': 'bold'})
 
 
-@image_comparison(baseline_images=['quiver_with_key_test_image'],
-                  extensions=['png'])
+@image_comparison(['quiver_with_key_test_image.png'])
 def test_quiver_with_key():
     fig, ax = plt.subplots()
     ax.margins(0.1)
-
     Q = draw_quiver(ax)
+    ax.quiverkey(Q, 0.5, 0.95, 2,
+                 r'$2\, \mathrm{m}\, \mathrm{s}^{-1}$',
+                 angle=-10,
+                 coordinates='figure',
+                 labelpos='W',
+                 fontproperties={'weight': 'bold', 'size': 'large'})
 
-    qk = ax.quiverkey(Q, 0.5, 0.95, 2,
-                      r'$2\, \mathrm{m}\, \mathrm{s}^{-1}$',
-                      coordinates='figure',
-                      labelpos='W',
-                      fontproperties={'weight': 'bold',
-                                      'size': 'large'})
+
+@image_comparison(['quiver_single_test_image.png'], remove_text=True)
+def test_quiver_single():
+    fig, ax = plt.subplots()
+    ax.margins(0.1)
+    ax.quiver([1], [1], [2], [2])
+
+
+def test_quiver_copy():
+    fig, ax = plt.subplots()
+    uv = dict(u=np.array([1.1]), v=np.array([2.0]))
+    q0 = ax.quiver([1], [1], uv['u'], uv['v'])
+    uv['v'][0] = 0
+    assert q0.V[0] == 2.0
+
+
+@image_comparison(['quiver_key_pivot.png'], remove_text=True)
+def test_quiver_key_pivot():
+    fig, ax = plt.subplots()
+
+    u, v = np.mgrid[0:2*np.pi:10j, 0:2*np.pi:10j]
+
+    q = ax.quiver(np.sin(u), np.cos(v))
+    ax.set_xlim(-2, 11)
+    ax.set_ylim(-2, 11)
+    ax.quiverkey(q, 0.5, 1, 1, 'N', labelpos='N')
+    ax.quiverkey(q, 1, 0.5, 1, 'E', labelpos='E')
+    ax.quiverkey(q, 0.5, 0, 1, 'S', labelpos='S')
+    ax.quiverkey(q, 0, 0.5, 1, 'W', labelpos='W')
+
+
+@image_comparison(['quiver_key_xy.png'], remove_text=True)
+def test_quiver_key_xy():
+    # With scale_units='xy', ensure quiverkey still matches its quiver.
+    # Note that the quiver and quiverkey lengths depend on the axes aspect
+    # ratio, and that with angles='xy' their angles also depend on the axes
+    # aspect ratio.
+    X = np.arange(8)
+    Y = np.zeros(8)
+    angles = X * (np.pi / 4)
+    uv = np.exp(1j * angles)
+    U = uv.real
+    V = uv.imag
+    fig, axs = plt.subplots(2)
+    for ax, angle_str in zip(axs, ('uv', 'xy')):
+        ax.set_xlim(-1, 8)
+        ax.set_ylim(-0.2, 0.2)
+        q = ax.quiver(X, Y, U, V, pivot='middle',
+                      units='xy', width=0.05,
+                      scale=2, scale_units='xy',
+                      angles=angle_str)
+        for x, angle in zip((0.2, 0.5, 0.8), (0, 45, 90)):
+            ax.quiverkey(q, X=x, Y=0.8, U=1, angle=angle, label='', color='b')
+
+
+@image_comparison(['barbs_test_image.png'], remove_text=True)
+def test_barbs():
+    x = np.linspace(-5, 5, 5)
+    X, Y = np.meshgrid(x, x)
+    U, V = 12*X, 12*Y
+    fig, ax = plt.subplots()
+    ax.barbs(X, Y, U, V, np.hypot(U, V), fill_empty=True, rounding=False,
+             sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3),
+             cmap='viridis')
+
+
+@image_comparison(['barbs_pivot_test_image.png'], remove_text=True)
+def test_barbs_pivot():
+    x = np.linspace(-5, 5, 5)
+    X, Y = np.meshgrid(x, x)
+    U, V = 12*X, 12*Y
+    fig, ax = plt.subplots()
+    ax.barbs(X, Y, U, V, fill_empty=True, rounding=False, pivot=1.7,
+             sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
+    ax.scatter(X, Y, s=49, c='black')
+
+
+@image_comparison(['barbs_test_flip.png'], remove_text=True)
+def test_barbs_flip():
+    """Test barbs with an array for flip_barb."""
+    x = np.linspace(-5, 5, 5)
+    X, Y = np.meshgrid(x, x)
+    U, V = 12*X, 12*Y
+    fig, ax = plt.subplots()
+    ax.barbs(X, Y, U, V, fill_empty=True, rounding=False, pivot=1.7,
+             sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3),
+             flip_barb=Y < 0)
+
+
+def test_barb_copy():
+    fig, ax = plt.subplots()
+    u = np.array([1.1])
+    v = np.array([2.2])
+    b0 = ax.barbs([1], [1], u, v)
+    u[0] = 0
+    assert b0.u[0] == 1.1
+    v[0] = 0
+    assert b0.v[0] == 2.2
+
+
+def test_bad_masked_sizes():
+    """Test error handling when given differing sized masked arrays."""
+    x = np.arange(3)
+    y = np.arange(3)
+    u = np.ma.array(15. * np.ones((4,)))
+    v = np.ma.array(15. * np.ones_like(u))
+    u[1] = np.ma.masked
+    v[1] = np.ma.masked
+    fig, ax = plt.subplots()
+    with pytest.raises(ValueError):
+        ax.barbs(x, y, u, v)
+
+
+def test_angles_and_scale():
+    # angles array + scale_units kwarg
+    fig, ax = plt.subplots()
+    X, Y = np.meshgrid(np.arange(15), np.arange(10))
+    U = V = np.ones_like(X)
+    phi = (np.random.rand(15, 10) - .5) * 150
+    ax.quiver(X, Y, U, V, angles=phi, scale_units='xy')
+
+
+@image_comparison(['quiver_xy.png'], remove_text=True)
+def test_quiver_xy():
+    # simple arrow pointing from SW to NE
+    fig, ax = plt.subplots(subplot_kw=dict(aspect='equal'))
+    ax.quiver(0, 0, 1, 1, angles='xy', scale_units='xy', scale=1)
+    ax.set_xlim(0, 1.1)
+    ax.set_ylim(0, 1.1)
+    ax.grid()
+
+
+def test_quiverkey_angles():
+    # Check that only a single arrow is plotted for a quiverkey when an array
+    # of angles is given to the original quiver plot
+    fig, ax = plt.subplots()
+
+    X, Y = np.meshgrid(np.arange(2), np.arange(2))
+    U = V = angles = np.ones_like(X)
+
+    q = ax.quiver(X, Y, U, V, angles=angles)
+    qk = ax.quiverkey(q, 1, 1, 2, 'Label')
+    # The arrows are only created when the key is drawn
+    fig.canvas.draw()
+    assert len(qk.verts) == 1
+
+
+def test_quiverkey_angles_xy_aitoff():
+    # GH 26316 and GH 26748
+    # Test that only one arrow will be plotted with non-cartesian
+    # when angles='xy' and/or scale_units='xy'
+
+    # only for test purpose
+    # scale_units='xy' may not be a valid use case for non-cartesian
+    kwargs_list = [
+        {'angles': 'xy'},
+        {'angles': 'xy', 'scale_units': 'xy'},
+        {'scale_units': 'xy'}
+    ]
+
+    for kwargs_dict in kwargs_list:
+
+        x = np.linspace(-np.pi, np.pi, 11)
+        y = np.ones_like(x) * np.pi / 6
+        vx = np.zeros_like(x)
+        vy = np.ones_like(x)
+
+        fig = plt.figure()
+        ax = fig.add_subplot(projection='aitoff')
+        q = ax.quiver(x, y, vx, vy, **kwargs_dict)
+        qk = ax.quiverkey(q, 0, 0, 1, '1 units')
+
+        fig.canvas.draw()
+        assert len(qk.verts) == 1
+
+
+def test_quiverkey_angles_scale_units_cartesian():
+    # GH 26316
+    # Test that only one arrow will be plotted with normal cartesian
+    # when angles='xy' and/or scale_units='xy'
+
+    kwargs_list = [
+        {'angles': 'xy'},
+        {'angles': 'xy', 'scale_units': 'xy'},
+        {'scale_units': 'xy'}
+    ]
+
+    for kwargs_dict in kwargs_list:
+        X = [0, -1, 0]
+        Y = [0, -1, 0]
+        U = [1, -1, 1]
+        V = [1, -1, 0]
+
+        fig, ax = plt.subplots()
+        q = ax.quiver(X, Y, U, V, **kwargs_dict)
+        ax.quiverkey(q, X=0.3, Y=1.1, U=1,
+                     label='Quiver key, length = 1', labelpos='E')
+        qk = ax.quiverkey(q, 0, 0, 1, '1 units')
+
+        fig.canvas.draw()
+        assert len(qk.verts) == 1
+
+
+def test_quiver_setuvc_numbers():
+    """Check that it is possible to set all arrow UVC to the same numbers"""
+
+    fig, ax = plt.subplots()
+
+    X, Y = np.meshgrid(np.arange(2), np.arange(2))
+    U = V = np.ones_like(X)
+
+    q = ax.quiver(X, Y, U, V)
+    q.set_UVC(0, 1)
+
+
+def draw_quiverkey_zorder_argument(fig, zorder=None):
+    """Draw Quiver and QuiverKey using zorder argument"""
+    x = np.arange(1, 6, 1)
+    y = np.arange(1, 6, 1)
+    X, Y = np.meshgrid(x, y)
+    U, V = 2, 2
+
+    ax = fig.subplots()
+    q = ax.quiver(X, Y, U, V, pivot='middle')
+    ax.set_xlim(0.5, 5.5)
+    ax.set_ylim(0.5, 5.5)
+    if zorder is None:
+        ax.quiverkey(q, 4, 4, 25, coordinates='data',
+                     label='U', color='blue')
+        ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
+                     label='V', color='blue', angle=90)
+    else:
+        ax.quiverkey(q, 4, 4, 25, coordinates='data',
+                     label='U', color='blue', zorder=zorder)
+        ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
+                     label='V', color='blue', angle=90, zorder=zorder)
+
+
+def draw_quiverkey_setzorder(fig, zorder=None):
+    """Draw Quiver and QuiverKey using set_zorder"""
+    x = np.arange(1, 6, 1)
+    y = np.arange(1, 6, 1)
+    X, Y = np.meshgrid(x, y)
+    U, V = 2, 2
+
+    ax = fig.subplots()
+    q = ax.quiver(X, Y, U, V, pivot='middle')
+    ax.set_xlim(0.5, 5.5)
+    ax.set_ylim(0.5, 5.5)
+    qk1 = ax.quiverkey(q, 4, 4, 25, coordinates='data',
+                       label='U', color='blue')
+    qk2 = ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
+                       label='V', color='blue', angle=90)
+    if zorder is not None:
+        qk1.set_zorder(zorder)
+        qk2.set_zorder(zorder)
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule()
+@pytest.mark.parametrize('zorder', [0, 2, 5, None])
+@check_figures_equal()
+def test_quiverkey_zorder(fig_test, fig_ref, zorder):
+    draw_quiverkey_zorder_argument(fig_test, zorder=zorder)
+    draw_quiverkey_setzorder(fig_ref, zorder=zorder)
diff --git a/lib/matplotlib/tests/test_rcparams.py b/lib/matplotlib/tests/test_rcparams.py
index ec92da9ee246..2235f98b720f 100644
--- a/lib/matplotlib/tests/test_rcparams.py
+++ b/lib/matplotlib/tests/test_rcparams.py
@@ -1,59 +1,74 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import io
+import copy
 import os
+import subprocess
 import sys
-import warnings
+from unittest import mock
+
+from cycler import cycler, Cycler
+from packaging.version import parse as parse_version
+import pytest
 
 import matplotlib as mpl
-from matplotlib.tests import assert_str_equal
-from matplotlib.testing.decorators import cleanup, knownfailureif
-from nose.tools import assert_true, assert_raises, assert_equal
-from nose.plugins.skip import SkipTest
-import nose
-from itertools import chain
+from matplotlib import _api, _c_internal_utils
+import matplotlib.pyplot as plt
+import matplotlib.colors as mcolors
 import numpy as np
-from matplotlib.rcsetup import (validate_bool_maybe_none,
-                                validate_stringlist,
-                                validate_bool,
-                                validate_nseq_int,
-                                validate_nseq_float)
-
+from matplotlib.rcsetup import (
+    validate_bool,
+    validate_color,
+    validate_colorlist,
+    _validate_color_or_linecolor,
+    validate_cycler,
+    validate_float,
+    validate_fontstretch,
+    validate_fontweight,
+    validate_hatch,
+    validate_hist_bins,
+    validate_int,
+    validate_markevery,
+    validate_stringlist,
+    validate_sketch,
+    _validate_linestyle,
+    _listify_validator)
+from matplotlib.testing import subprocess_run_for_testing
+
+
+def test_rcparams(tmp_path):
+    mpl.rc('text', usetex=False)
+    mpl.rc('lines', linewidth=22)
 
-mpl.rc('text', usetex=False)
-mpl.rc('lines', linewidth=22)
-
-fname = os.path.join(os.path.dirname(__file__), 'test_rcparams.rc')
-
-
-def test_rcparams():
     usetex = mpl.rcParams['text.usetex']
     linewidth = mpl.rcParams['lines.linewidth']
 
+    rcpath = tmp_path / 'test_rcparams.rc'
+    rcpath.write_text('lines.linewidth: 33', encoding='utf-8')
+
     # test context given dictionary
     with mpl.rc_context(rc={'text.usetex': not usetex}):
         assert mpl.rcParams['text.usetex'] == (not usetex)
     assert mpl.rcParams['text.usetex'] == usetex
 
-    # test context given filename (mpl.rc sets linewdith to 33)
-    with mpl.rc_context(fname=fname):
+    # test context given filename (mpl.rc sets linewidth to 33)
+    with mpl.rc_context(fname=rcpath):
         assert mpl.rcParams['lines.linewidth'] == 33
     assert mpl.rcParams['lines.linewidth'] == linewidth
 
     # test context given filename and dictionary
-    with mpl.rc_context(fname=fname, rc={'lines.linewidth': 44}):
+    with mpl.rc_context(fname=rcpath, rc={'lines.linewidth': 44}):
         assert mpl.rcParams['lines.linewidth'] == 44
     assert mpl.rcParams['lines.linewidth'] == linewidth
 
+    # test context as decorator (and test reusability, by calling func twice)
+    @mpl.rc_context({'lines.linewidth': 44})
+    def func():
+        assert mpl.rcParams['lines.linewidth'] == 44
+
+    func()
+    func()
+
     # test rc_file
-    try:
-        mpl.rc_file(fname)
-        assert mpl.rcParams['lines.linewidth'] == 33
-    finally:
-        mpl.rcParams['lines.linewidth'] = linewidth
+    mpl.rc_file(rcpath)
+    assert mpl.rcParams['lines.linewidth'] == 33
 
 
 def test_RcParams_class():
@@ -65,8 +80,7 @@ def test_RcParams_class():
                        'font.weight': 'normal',
                        'font.size': 12})
 
-    if six.PY3:
-        expected_repr = """
+    expected_repr = """
 RcParams({'font.cursive': ['Apple Chancery',
                            'Textile',
                            'Zapf Chancery',
@@ -74,150 +88,141 @@ def test_RcParams_class():
           'font.family': ['sans-serif'],
           'font.size': 12.0,
           'font.weight': 'normal'})""".lstrip()
-    else:
-        expected_repr = """
-RcParams({u'font.cursive': [u'Apple Chancery',
-                            u'Textile',
-                            u'Zapf Chancery',
-                            u'cursive'],
-          u'font.family': [u'sans-serif'],
-          u'font.size': 12.0,
-          u'font.weight': u'normal'})""".lstrip()
-
-    assert_str_equal(expected_repr, repr(rc))
-
-    if six.PY3:
-        expected_str = """
+
+    assert expected_repr == repr(rc)
+
+    expected_str = """
 font.cursive: ['Apple Chancery', 'Textile', 'Zapf Chancery', 'cursive']
 font.family: ['sans-serif']
 font.size: 12.0
-font.weight: normal""".lstrip()
-    else:
-        expected_str = """
-font.cursive: [u'Apple Chancery', u'Textile', u'Zapf Chancery', u'cursive']
-font.family: [u'sans-serif']
-font.size: 12.0
 font.weight: normal""".lstrip()
 
-    assert_str_equal(expected_str, str(rc))
+    assert expected_str == str(rc)
 
     # test the find_all functionality
-    assert ['font.cursive', 'font.size'] == sorted(rc.find_all('i[vz]').keys())
-    assert ['font.family'] == list(six.iterkeys(rc.find_all('family')))
+    assert ['font.cursive', 'font.size'] == sorted(rc.find_all('i[vz]'))
+    assert ['font.family'] == list(rc.find_all('family'))
 
 
 def test_rcparams_update():
-    if sys.version_info[:2] < (2, 7):
-        raise nose.SkipTest("assert_raises as context manager "
-                            "not supported with Python < 2.7")
     rc = mpl.RcParams({'figure.figsize': (3.5, 42)})
     bad_dict = {'figure.figsize': (3.5, 42, 1)}
     # make sure validation happens on input
-    with assert_raises(ValueError):
-
-        with warnings.catch_warnings():
-            warnings.filterwarnings('ignore',
-                                message='.*(validate)',
-                                category=UserWarning)
-            rc.update(bad_dict)
+    with pytest.raises(ValueError):
+        rc.update(bad_dict)
 
 
 def test_rcparams_init():
-    if sys.version_info[:2] < (2, 7):
-        raise nose.SkipTest("assert_raises as context manager "
-                            "not supported with Python < 2.7")
-    with assert_raises(ValueError):
-        with warnings.catch_warnings():
-            warnings.filterwarnings('ignore',
-                                message='.*(validate)',
-                                category=UserWarning)
-            mpl.RcParams({'figure.figsize': (3.5, 42, 1)})
-
-
-@cleanup
+    with pytest.raises(ValueError):
+        mpl.RcParams({'figure.figsize': (3.5, 42, 1)})
+
+
+def test_nargs_cycler():
+    from matplotlib.rcsetup import cycler as ccl
+    with pytest.raises(TypeError, match='3 were given'):
+        # cycler() takes 0-2 arguments.
+        ccl(ccl(color=list('rgb')), 2, 3)
+
+
 def test_Bug_2543():
     # Test that it possible to add all values to itself / deepcopy
-    # This was not possible because validate_bool_maybe_none did not
-    # accept None as an argument.
     # https://github.com/matplotlib/matplotlib/issues/2543
     # We filter warnings at this stage since a number of them are raised
-    # for deprecated rcparams as they should. We dont want these in the
+    # for deprecated rcparams as they should. We don't want these in the
     # printed in the test suite.
-    with warnings.catch_warnings():
-        warnings.filterwarnings('ignore',
-                                message='.*(deprecated|obsolete)',
-                                category=UserWarning)
+    with _api.suppress_matplotlib_deprecation_warning():
         with mpl.rc_context():
             _copy = mpl.rcParams.copy()
-            for key in six.iterkeys(_copy):
+            for key in _copy:
                 mpl.rcParams[key] = _copy[key]
-            mpl.rcParams['text.dvipnghack'] = None
         with mpl.rc_context():
-            from copy import deepcopy
-            _deep_copy = deepcopy(mpl.rcParams)
-        # real test is that this does not raise
-        assert_true(validate_bool_maybe_none(None) is None)
-        assert_true(validate_bool_maybe_none("none") is None)
-        _fonttype = mpl.rcParams['svg.fonttype']
-        assert_true(_fonttype == mpl.rcParams['svg.embed_char_paths'])
-        with mpl.rc_context():
-            mpl.rcParams['svg.embed_char_paths'] = False
-            assert_true(mpl.rcParams['svg.fonttype'] == "none")
-
-
-@cleanup
-def test_Bug_2543_newer_python():
-    # only split from above because of the usage of assert_raises
-    # as a context manager, which only works in 2.7 and above
-    if sys.version_info[:2] < (2, 7):
-        raise nose.SkipTest("assert_raises as context manager not supported with Python < 2.7")
-    from matplotlib.rcsetup import validate_bool_maybe_none, validate_bool
-    with assert_raises(ValueError):
-        validate_bool_maybe_none("blah")
-    with assert_raises(ValueError):
+            copy.deepcopy(mpl.rcParams)
+    with pytest.raises(ValueError):
         validate_bool(None)
-    with assert_raises(ValueError):
+    with pytest.raises(ValueError):
         with mpl.rc_context():
             mpl.rcParams['svg.fonttype'] = True
 
-def test_Issue_1713():
-    utf32_be = os.path.join(os.path.dirname(__file__),
-                           'test_utf32_be_rcparams.rc')
-    old_lang = os.environ.get('LANG', None)
-    os.environ['LANG'] = 'en_US.UTF-32-BE'
-    rc = mpl.rc_params_from_file(utf32_be, True)
-    if old_lang:
-        os.environ['LANG'] = old_lang
-    else:
-        del os.environ['LANG']
-    assert rc.get('timezone') == 'UTC'
-
-if __name__ == '__main__':
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
 
+legend_color_tests = [
+    ('face', {'color': 'r'}, mcolors.to_rgba('r')),
+    ('face', {'color': 'inherit', 'axes.facecolor': 'r'},
+     mcolors.to_rgba('r')),
+    ('face', {'color': 'g', 'axes.facecolor': 'r'}, mcolors.to_rgba('g')),
+    ('edge', {'color': 'r'}, mcolors.to_rgba('r')),
+    ('edge', {'color': 'inherit', 'axes.edgecolor': 'r'},
+     mcolors.to_rgba('r')),
+    ('edge', {'color': 'g', 'axes.facecolor': 'r'}, mcolors.to_rgba('g'))
+]
+legend_color_test_ids = [
+    'same facecolor',
+    'inherited facecolor',
+    'different facecolor',
+    'same edgecolor',
+    'inherited edgecolor',
+    'different facecolor',
+]
+
+
+@pytest.mark.parametrize('color_type, param_dict, target', legend_color_tests,
+                         ids=legend_color_test_ids)
+def test_legend_colors(color_type, param_dict, target):
+    param_dict[f'legend.{color_type}color'] = param_dict.pop('color')
+    get_func = f'get_{color_type}color'
+
+    with mpl.rc_context(param_dict):
+        _, ax = plt.subplots()
+        ax.plot(range(3), label='test')
+        leg = ax.legend()
+        assert getattr(leg.legendPatch, get_func)() == target
+
+
+def test_mfc_rcparams():
+    mpl.rcParams['lines.markerfacecolor'] = 'r'
+    ln = mpl.lines.Line2D([1, 2], [1, 2])
+    assert ln.get_markerfacecolor() == 'r'
+
+
+def test_mec_rcparams():
+    mpl.rcParams['lines.markeredgecolor'] = 'r'
+    ln = mpl.lines.Line2D([1, 2], [1, 2])
+    assert ln.get_markeredgecolor() == 'r'
+
+
+def test_axes_titlecolor_rcparams():
+    mpl.rcParams['axes.titlecolor'] = 'r'
+    _, ax = plt.subplots()
+    title = ax.set_title("Title")
+    assert title.get_color() == 'r'
+
+
+def test_Issue_1713(tmp_path):
+    rcpath = tmp_path / 'test_rcparams.rc'
+    rcpath.write_text('timezone: UTC', encoding='utf-8')
+    with mock.patch('locale.getpreferredencoding', return_value='UTF-32-BE'):
+        rc = mpl.rc_params_from_file(rcpath, True, False)
+    assert rc.get('timezone') == 'UTC'
 
-def _validation_test_helper(validator, arg, target):
-    res = validator(arg)
-    assert_equal(res, target)
 
+def test_animation_frame_formats():
+    # Animation frame_format should allow any of the following
+    # if any of these are not allowed, an exception will be raised
+    # test for gh issue #17908
+    for fmt in ['png', 'jpeg', 'tiff', 'raw', 'rgba', 'ppm',
+                'sgi', 'bmp', 'pbm', 'svg']:
+        mpl.rcParams['animation.frame_format'] = fmt
 
-def _validation_fail_helper(validator, arg, exception_type):
-    if sys.version_info[:2] < (2, 7):
-        raise nose.SkipTest("assert_raises as context manager not "
-                            "supported with Python < 2.7")
-    with assert_raises(exception_type):
-        validator(arg)
 
-
-def test_validators():
+def generate_validator_testcases(valid):
     validation_tests = (
         {'validator': validate_bool,
-         'success': chain(((_, True) for _ in
-                           ('t', 'y', 'yes', 'on', 'true', '1', 1, True)),
-                           ((_, False) for _ in
-                            ('f', 'n', 'no', 'off', 'false', '0', 0, False))),
-        'fail': ((_, ValueError)
-                 for _ in ('aardvark', 2, -1, [], ))},
+         'success': (*((_, True) for _ in
+                       ('t', 'y', 'yes', 'on', 'true', '1', 1, True)),
+                     *((_, False) for _ in
+                       ('f', 'n', 'no', 'off', 'false', '0', 0, False))),
+         'fail': ((_, ValueError)
+                  for _ in ('aardvark', 2, -1, [], ))
+         },
         {'validator': validate_stringlist,
          'success': (('', []),
                      ('a,b', ['a', 'b']),
@@ -226,11 +231,14 @@ def test_validators():
                      ('aardvark, ,', ['aardvark']),
                      (['a', 'b'], ['a', 'b']),
                      (('a', 'b'), ['a', 'b']),
-                     ((1, 2), ['1', '2'])),
-            'fail': ((dict(), AssertionError),
-                     (1, AssertionError),)
-            },
-        {'validator': validate_nseq_int(2),
+                     (iter(['a', 'b']), ['a', 'b']),
+                     (np.array(['a', 'b']), ['a', 'b']),
+                     ),
+         'fail': ((set(), ValueError),
+                  (1, ValueError),
+                  )
+         },
+        {'validator': _listify_validator(validate_int, n=2),
          'success': ((_, [1, 2])
                      for _ in ('1, 2', [1.5, 2.5], [1, 2],
                                (1, 2), np.array((1, 2)))),
@@ -238,50 +246,429 @@ def test_validators():
                   for _ in ('aardvark', ('a', 1),
                             (1, 2, 3)
                             ))
-        },
-        {'validator': validate_nseq_float(2),
+         },
+        {'validator': _listify_validator(validate_float, n=2),
          'success': ((_, [1.5, 2.5])
                      for _ in ('1.5, 2.5', [1.5, 2.5], [1.5, 2.5],
                                (1.5, 2.5), np.array((1.5, 2.5)))),
          'fail': ((_, ValueError)
-                  for _ in ('aardvark', ('a', 1),
-                            (1, 2, 3)
-                            ))
-        }
-
+                  for _ in ('aardvark', ('a', 1), (1, 2, 3), (None, ), None))
+         },
+        {'validator': validate_cycler,
+         'success': (('cycler("color", "rgb")',
+                      cycler("color", 'rgb')),
+                     ('cycler("color", "Dark2")',
+                      cycler("color", mpl.color_sequences["Dark2"])),
+                     (cycler('linestyle', ['-', '--']),
+                      cycler('linestyle', ['-', '--'])),
+                     ("""(cycler("color", ["r", "g", "b"]) +
+                          cycler("mew", [2, 3, 5]))""",
+                      (cycler("color", 'rgb') +
+                       cycler("markeredgewidth", [2, 3, 5]))),
+                     ("cycler(c='rgb', lw=[1, 2, 3])",
+                      cycler('color', 'rgb') + cycler('linewidth', [1, 2, 3])),
+                     ("cycler('c', 'rgb') * cycler('linestyle', ['-', '--'])",
+                      (cycler('color', 'rgb') *
+                       cycler('linestyle', ['-', '--']))),
+                     (cycler('ls', ['-', '--']),
+                      cycler('linestyle', ['-', '--'])),
+                     (cycler(mew=[2, 5]),
+                      cycler('markeredgewidth', [2, 5])),
+                     ),
+         # This is *so* incredibly important: validate_cycler() eval's
+         # an arbitrary string! I think I have it locked down enough,
+         # and that is what this is testing.
+         # TODO: Note that these tests are actually insufficient, as it may
+         # be that they raised errors, but still did an action prior to
+         # raising the exception. We should devise some additional tests
+         # for that...
+         'fail': ((4, ValueError),  # Gotta be a string or Cycler object
+                  ('cycler("bleh, [])', ValueError),  # syntax error
+                  ('Cycler("linewidth", [1, 2, 3])',
+                   ValueError),  # only 'cycler()' function is allowed
+                  # do not allow dunder in string literals
+                  ("cycler('c', [j.__class__(j) for j in ['r', 'b']])",
+                   ValueError),
+                  ("cycler('c', [j. __class__(j) for j in ['r', 'b']])",
+                   ValueError),
+                  ("cycler('c', [j.\t__class__(j) for j in ['r', 'b']])",
+                   ValueError),
+                  ("cycler('c', [j.\u000c__class__(j) for j in ['r', 'b']])",
+                   ValueError),
+                  ("cycler('c', [j.__class__(j).lower() for j in ['r', 'b']])",
+                   ValueError),
+                  ('1 + 2', ValueError),  # doesn't produce a Cycler object
+                  ('os.system("echo Gotcha")', ValueError),  # os not available
+                  ('import os', ValueError),  # should not be able to import
+                  ('def badjuju(a): return a; badjuju(cycler("color", "rgb"))',
+                   ValueError),  # Should not be able to define anything
+                  # even if it does return a cycler
+                  ('cycler("waka", [1, 2, 3])', ValueError),  # not a property
+                  ('cycler(c=[1, 2, 3])', ValueError),  # invalid values
+                  ("cycler(lw=['a', 'b', 'c'])", ValueError),  # invalid values
+                  (cycler('waka', [1, 3, 5]), ValueError),  # not a property
+                  (cycler('color', ['C1', 'r', 'g']), ValueError)  # no CN
+                  )
+         },
+        {'validator': validate_hatch,
+         'success': (('--|', '--|'), ('\\oO', '\\oO'),
+                     ('/+*/.x', '/+*/.x'), ('', '')),
+         'fail': (('--_', ValueError),
+                  (8, ValueError),
+                  ('X', ValueError)),
+         },
+        {'validator': validate_colorlist,
+         'success': (('r,g,b', ['r', 'g', 'b']),
+                     (['r', 'g', 'b'], ['r', 'g', 'b']),
+                     ('r, ,', ['r']),
+                     (['', 'g', 'blue'], ['g', 'blue']),
+                     ([np.array([1, 0, 0]), np.array([0, 1, 0])],
+                     np.array([[1, 0, 0], [0, 1, 0]])),
+                     (np.array([[1, 0, 0], [0, 1, 0]]),
+                     np.array([[1, 0, 0], [0, 1, 0]])),
+                     ),
+         'fail': (('fish', ValueError),
+                  ),
+         },
+        {'validator': validate_color,
+         'success': (('None', 'none'),
+                     ('none', 'none'),
+                     ('AABBCC', '#AABBCC'),  # RGB hex code
+                     ('AABBCC00', '#AABBCC00'),  # RGBA hex code
+                     ('tab:blue', 'tab:blue'),  # named color
+                     ('C12', 'C12'),  # color from cycle
+                     ('(0, 1, 0)', (0.0, 1.0, 0.0)),  # RGB tuple
+                     ((0, 1, 0), (0, 1, 0)),  # non-string version
+                     ('(0, 1, 0, 1)', (0.0, 1.0, 0.0, 1.0)),  # RGBA tuple
+                     ((0, 1, 0, 1), (0, 1, 0, 1)),  # non-string version
+                     ),
+         'fail': (('tab:veryblue', ValueError),  # invalid name
+                  ('(0, 1)', ValueError),  # tuple with length < 3
+                  ('(0, 1, 0, 1, 0)', ValueError),  # tuple with length > 4
+                  ('(0, 1, none)', ValueError),  # cannot cast none to float
+                  ('(0, 1, "0.5")', ValueError),  # last one not a float
+                  ),
+         },
+        {'validator': _validate_color_or_linecolor,
+         'success': (('linecolor', 'linecolor'),
+                     ('markerfacecolor', 'markerfacecolor'),
+                     ('mfc', 'markerfacecolor'),
+                     ('markeredgecolor', 'markeredgecolor'),
+                     ('mec', 'markeredgecolor')
+                     ),
+         'fail': (('line', ValueError),
+                  ('marker', ValueError)
+                  )
+         },
+        {'validator': validate_hist_bins,
+         'success': (('auto', 'auto'),
+                     ('fd', 'fd'),
+                     ('10', 10),
+                     ('1, 2, 3', [1, 2, 3]),
+                     ([1, 2, 3], [1, 2, 3]),
+                     (np.arange(15), np.arange(15))
+                     ),
+         'fail': (('aardvark', ValueError),
+                  )
+         },
+        {'validator': validate_markevery,
+         'success': ((None, None),
+                     (1, 1),
+                     (0.1, 0.1),
+                     ((1, 1), (1, 1)),
+                     ((0.1, 0.1), (0.1, 0.1)),
+                     ([1, 2, 3], [1, 2, 3]),
+                     (slice(2), slice(None, 2, None)),
+                     (slice(1, 2, 3), slice(1, 2, 3))
+                     ),
+         'fail': (((1, 2, 3), TypeError),
+                  ([1, 2, 0.3], TypeError),
+                  (['a', 2, 3], TypeError),
+                  ([1, 2, 'a'], TypeError),
+                  ((0.1, 0.2, 0.3), TypeError),
+                  ((0.1, 2, 3), TypeError),
+                  ((1, 0.2, 0.3), TypeError),
+                  ((1, 0.1), TypeError),
+                  ((0.1, 1), TypeError),
+                  (('abc'), TypeError),
+                  ((1, 'a'), TypeError),
+                  ((0.1, 'b'), TypeError),
+                  (('a', 1), TypeError),
+                  (('a', 0.1), TypeError),
+                  ('abc', TypeError),
+                  ('a', TypeError),
+                  (object(), TypeError)
+                  )
+         },
+        {'validator': _validate_linestyle,
+         'success': (('-', '-'), ('solid', 'solid'),
+                     ('--', '--'), ('dashed', 'dashed'),
+                     ('-.', '-.'), ('dashdot', 'dashdot'),
+                     (':', ':'), ('dotted', 'dotted'),
+                     ('', ''), (' ', ' '),
+                     ('None', 'none'), ('none', 'none'),
+                     ('DoTtEd', 'dotted'),  # case-insensitive
+                     ('1, 3', (0, (1, 3))),
+                     ([1.23, 456], (0, [1.23, 456.0])),
+                     ([1, 2, 3, 4], (0, [1.0, 2.0, 3.0, 4.0])),
+                     ((0, [1, 2]), (0, [1, 2])),
+                     ((-1, [1, 2]), (-1, [1, 2])),
+                     ),
+         'fail': (('aardvark', ValueError),  # not a valid string
+                  (b'dotted', ValueError),
+                  ('dotted'.encode('utf-16'), ValueError),
+                  ([1, 2, 3], ValueError),  # sequence with odd length
+                  (1.23, ValueError),  # not a sequence
+                  (("a", [1, 2]), ValueError),  # wrong explicit offset
+                  ((None, [1, 2]), ValueError),  # wrong explicit offset
+                  ((1, [1, 2, 3]), ValueError),  # odd length sequence
+                  (([1, 2], 1), ValueError),  # inverted offset/onoff
+                  )
+         },
     )
 
     for validator_dict in validation_tests:
         validator = validator_dict['validator']
-        for arg, target in validator_dict['success']:
-            yield _validation_test_helper, validator, arg, target
-        for arg, error_type in validator_dict['fail']:
-            yield _validation_fail_helper, validator, arg, error_type
+        if valid:
+            for arg, target in validator_dict['success']:
+                yield validator, arg, target
+        else:
+            for arg, error_type in validator_dict['fail']:
+                yield validator, arg, error_type
+
+
+@pytest.mark.parametrize('validator, arg, target',
+                         generate_validator_testcases(True))
+def test_validator_valid(validator, arg, target):
+    res = validator(arg)
+    if isinstance(target, np.ndarray):
+        np.testing.assert_equal(res, target)
+    elif not isinstance(target, Cycler):
+        assert res == target
+    else:
+        # Cyclers can't simply be asserted equal. They don't implement __eq__
+        assert list(res) == list(target)
+
+
+@pytest.mark.parametrize('validator, arg, exception_type',
+                         generate_validator_testcases(False))
+def test_validator_invalid(validator, arg, exception_type):
+    with pytest.raises(exception_type):
+        validator(arg)
+
+
+def test_validate_cycler_bad_color_string():
+    msg = "'foo' is neither a color sequence name nor can it be interpreted as a list"
+    with pytest.raises(ValueError, match=msg):
+        validate_cycler("cycler('color', 'foo')")
+
+
+@pytest.mark.parametrize('weight, parsed_weight', [
+    ('bold', 'bold'),
+    ('BOLD', ValueError),  # weight is case-sensitive
+    (100, 100),
+    ('100', 100),
+    (np.array(100), 100),
+    # fractional fontweights are not defined. This should actually raise a
+    # ValueError, but historically did not.
+    (20.6, 20),
+    ('20.6', ValueError),
+    ([100], ValueError),
+])
+def test_validate_fontweight(weight, parsed_weight):
+    if parsed_weight is ValueError:
+        with pytest.raises(ValueError):
+            validate_fontweight(weight)
+    else:
+        assert validate_fontweight(weight) == parsed_weight
+
+
+@pytest.mark.parametrize('stretch, parsed_stretch', [
+    ('expanded', 'expanded'),
+    ('EXPANDED', ValueError),  # stretch is case-sensitive
+    (100, 100),
+    ('100', 100),
+    (np.array(100), 100),
+    # fractional fontweights are not defined. This should actually raise a
+    # ValueError, but historically did not.
+    (20.6, 20),
+    ('20.6', ValueError),
+    ([100], ValueError),
+])
+def test_validate_fontstretch(stretch, parsed_stretch):
+    if parsed_stretch is ValueError:
+        with pytest.raises(ValueError):
+            validate_fontstretch(stretch)
+    else:
+        assert validate_fontstretch(stretch) == parsed_stretch
 
 
 def test_keymaps():
     key_list = [k for k in mpl.rcParams if 'keymap' in k]
     for k in key_list:
-        assert(isinstance(mpl.rcParams[k], list))
+        assert isinstance(mpl.rcParams[k], list)
 
 
-def test_rcparams_reset_after_fail():
+def test_no_backend_reset_rccontext():
+    assert mpl.rcParams['backend'] != 'module://aardvark'
+    with mpl.rc_context():
+        mpl.rcParams['backend'] = 'module://aardvark'
+    assert mpl.rcParams['backend'] == 'module://aardvark'
+
 
+def test_rcparams_reset_after_fail():
     # There was previously a bug that meant that if rc_context failed and
     # raised an exception due to issues in the supplied rc parameters, the
     # global rc parameters were left in a modified state.
-
-    if sys.version_info[:2] >= (2, 7):
-        from collections import OrderedDict
-    else:
-        raise SkipTest("Test can only be run in Python >= 2.7 as it requires OrderedDict")
-
     with mpl.rc_context(rc={'text.usetex': False}):
-
         assert mpl.rcParams['text.usetex'] is False
-
-        with assert_raises(KeyError):
-            with mpl.rc_context(rc=OrderedDict([('text.usetex', True),('test.blah', True)])):
+        with pytest.raises(KeyError):
+            with mpl.rc_context(rc={'text.usetex': True, 'test.blah': True}):
                 pass
-
         assert mpl.rcParams['text.usetex'] is False
+
+
+@pytest.mark.skipif(sys.platform != "linux", reason="Linux only")
+def test_backend_fallback_headless_invalid_backend(tmp_path):
+    env = {**os.environ,
+           "DISPLAY": "", "WAYLAND_DISPLAY": "",
+           "MPLBACKEND": "", "MPLCONFIGDIR": str(tmp_path)}
+    # plotting should fail with the tkagg backend selected in a headless environment
+    with pytest.raises(subprocess.CalledProcessError):
+        subprocess_run_for_testing(
+            [sys.executable, "-c",
+             "import matplotlib;"
+             "matplotlib.use('tkagg');"
+             "import matplotlib.pyplot;"
+             "matplotlib.pyplot.plot(42);"
+             ],
+            env=env, check=True, stderr=subprocess.DEVNULL)
+
+
+@pytest.mark.skipif(sys.platform != "linux", reason="Linux only")
+def test_backend_fallback_headless_auto_backend(tmp_path):
+    # specify a headless mpl environment, but request a graphical (tk) backend
+    env = {**os.environ,
+           "DISPLAY": "", "WAYLAND_DISPLAY": "",
+           "MPLBACKEND": "TkAgg", "MPLCONFIGDIR": str(tmp_path)}
+
+    # allow fallback to an available interactive backend explicitly in configuration
+    rc_path = tmp_path / "matplotlibrc"
+    rc_path.write_text("backend_fallback: true")
+
+    # plotting should succeed, by falling back to use the generic agg backend
+    backend = subprocess_run_for_testing(
+        [sys.executable, "-c",
+         "import matplotlib.pyplot;"
+         "matplotlib.pyplot.plot(42);"
+         "print(matplotlib.get_backend());"
+         ],
+        env=env, text=True, check=True, capture_output=True).stdout
+    assert backend.strip().lower() == "agg"
+
+
+@pytest.mark.skipif(
+    sys.platform == "linux" and not _c_internal_utils.xdisplay_is_valid(),
+    reason="headless")
+def test_backend_fallback_headful(tmp_path):
+    if parse_version(pytest.__version__) >= parse_version('8.2.0'):
+        pytest_kwargs = dict(exc_type=ImportError)
+    else:
+        pytest_kwargs = {}
+
+    pytest.importorskip("tkinter", **pytest_kwargs)
+    env = {**os.environ, "MPLBACKEND": "", "MPLCONFIGDIR": str(tmp_path)}
+    backend = subprocess_run_for_testing(
+        [sys.executable, "-c",
+         "import matplotlib as mpl; "
+         "sentinel = mpl.rcsetup._auto_backend_sentinel; "
+         # Check that access on another instance does not resolve the sentinel.
+         "assert mpl.RcParams({'backend': sentinel})['backend'] == sentinel; "
+         "assert mpl.rcParams._get('backend') == sentinel; "
+         "assert mpl.get_backend(auto_select=False) is None; "
+         "import matplotlib.pyplot; "
+         "print(matplotlib.get_backend())"],
+        env=env, text=True, check=True, capture_output=True).stdout
+    # The actual backend will depend on what's installed, but at least tkagg is
+    # present.
+    assert backend.strip().lower() != "agg"
+
+
+def test_deprecation(monkeypatch):
+    mpl.rcParams.update(mpl.rcParams.copy())  # Doesn't warn.
+    # Note that the warning suppression actually arises from the
+    # iteration over the updater rcParams being protected by
+    # suppress_matplotlib_deprecation_warning, rather than any explicit check.
+
+
+@pytest.mark.parametrize("value", [
+    "best",
+    1,
+    "1",
+    (0.9, .7),
+    (-0.9, .7),
+    "(0.9, .7)"
+])
+def test_rcparams_legend_loc(value):
+    # rcParams['legend.loc'] should allow any of the following formats.
+    # if any of these are not allowed, an exception will be raised
+    # test for gh issue #22338
+    mpl.rcParams["legend.loc"] = value
+
+
+@pytest.mark.parametrize("value", [
+    "best",
+    1,
+    (0.9, .7),
+    (-0.9, .7),
+])
+def test_rcparams_legend_loc_from_file(tmp_path, value):
+    # rcParams['legend.loc'] should be settable from matplotlibrc.
+    # if any of these are not allowed, an exception will be raised.
+    # test for gh issue #22338
+    rc_path = tmp_path / "matplotlibrc"
+    rc_path.write_text(f"legend.loc: {value}")
+
+    with mpl.rc_context(fname=rc_path):
+        assert mpl.rcParams["legend.loc"] == value
+
+
+@pytest.mark.parametrize("value", [(1, 2, 3), '1, 2, 3', '(1, 2, 3)'])
+def test_validate_sketch(value):
+    mpl.rcParams["path.sketch"] = value
+    assert mpl.rcParams["path.sketch"] == (1, 2, 3)
+    assert validate_sketch(value) == (1, 2, 3)
+
+
+@pytest.mark.parametrize("value", [1, '1', '1 2 3'])
+def test_validate_sketch_error(value):
+    with pytest.raises(ValueError, match="scale, length, randomness"):
+        validate_sketch(value)
+    with pytest.raises(ValueError, match="scale, length, randomness"):
+        mpl.rcParams["path.sketch"] = value
+
+
+@pytest.mark.parametrize("value", ['1, 2, 3', '(1,2,3)'])
+def test_rcparams_path_sketch_from_file(tmp_path, value):
+    rc_path = tmp_path / "matplotlibrc"
+    rc_path.write_text(f"path.sketch: {value}")
+    with mpl.rc_context(fname=rc_path):
+        assert mpl.rcParams["path.sketch"] == (1, 2, 3)
+
+
+@pytest.mark.parametrize('group, option, alias, value', [
+    ('lines',  'linewidth',        'lw', 3),
+    ('lines',  'linestyle',        'ls', 'dashed'),
+    ('lines',  'color',             'c', 'white'),
+    ('axes',   'facecolor',        'fc', 'black'),
+    ('figure', 'edgecolor',        'ec', 'magenta'),
+    ('lines',  'markeredgewidth', 'mew', 1.5),
+    ('patch',  'antialiased',      'aa', False),
+    ('font',   'sans-serif',     'sans', ["Verdana"])
+])
+def test_rc_aliases(group, option, alias, value):
+    rc_kwargs = {alias: value,}
+    mpl.rc(group, **rc_kwargs)
+
+    rcParams_key = f"{group}.{option}"
+    assert mpl.rcParams[rcParams_key] == value
diff --git a/lib/matplotlib/tests/test_rcparams.rc b/lib/matplotlib/tests/test_rcparams.rc
deleted file mode 100644
index af7345aa1be1..000000000000
--- a/lib/matplotlib/tests/test_rcparams.rc
+++ /dev/null
@@ -1,3 +0,0 @@
-# this file is used by the tests in test_rcparams.py
-
-lines.linewidth: 33
diff --git a/lib/matplotlib/tests/test_sankey.py b/lib/matplotlib/tests/test_sankey.py
index 9e5e0098a26a..253bfa4fa093 100644
--- a/lib/matplotlib/tests/test_sankey.py
+++ b/lib/matplotlib/tests/test_sankey.py
@@ -1,9 +1,8 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import pytest
+from numpy.testing import assert_allclose, assert_array_equal
 
 from matplotlib.sankey import Sankey
+from matplotlib.testing.decorators import check_figures_equal
 
 
 def test_sankey():
@@ -12,6 +11,95 @@ def test_sankey():
     sankey.add()
 
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+def test_label():
+    s = Sankey(flows=[0.25], labels=['First'], orientations=[-1])
+    assert s.diagrams[0].texts[0].get_text() == 'First\n0.25'
+
+
+def test_format_using_callable():
+    # test using callable by slightly incrementing above label example
+
+    def show_three_decimal_places(value):
+        return f'{value:.3f}'
+
+    s = Sankey(flows=[0.25], labels=['First'], orientations=[-1],
+               format=show_three_decimal_places)
+
+    assert s.diagrams[0].texts[0].get_text() == 'First\n0.250'
+
+
+@pytest.mark.parametrize('kwargs, msg', (
+    ({'gap': -1}, "'gap' is negative"),
+    ({'gap': 1, 'radius': 2}, "'radius' is greater than 'gap'"),
+    ({'head_angle': -1}, "'head_angle' is negative"),
+    ({'tolerance': -1}, "'tolerance' is negative"),
+    ({'flows': [1, -1], 'orientations': [-1, 0, 1]},
+     r"The shapes of 'flows' \(2,\) and 'orientations'"),
+    ({'flows': [1, -1], 'labels': ['a', 'b', 'c']},
+     r"The shapes of 'flows' \(2,\) and 'labels'"),
+    ))
+def test_sankey_errors(kwargs, msg):
+    with pytest.raises(ValueError, match=msg):
+        Sankey(**kwargs)
+
+
+@pytest.mark.parametrize('kwargs, msg', (
+    ({'trunklength': -1}, "'trunklength' is negative"),
+    ({'flows': [0.2, 0.3], 'prior': 0}, "The scaled sum of the connected"),
+    ({'prior': -1}, "The index of the prior diagram is negative"),
+    ({'prior': 1}, "The index of the prior diagram is 1"),
+    ({'connect': (-1, 1), 'prior': 0}, "At least one of the connection"),
+    ({'connect': (2, 1), 'prior': 0}, "The connection index to the source"),
+    ({'connect': (1, 3), 'prior': 0}, "The connection index to this dia"),
+    ({'connect': (1, 1), 'prior': 0, 'flows': [-0.2, 0.2],
+      'orientations': [2]}, "The value of orientations"),
+    ({'connect': (1, 1), 'prior': 0, 'flows': [-0.2, 0.2],
+      'pathlengths': [2]}, "The lengths of 'flows'"),
+    ))
+def test_sankey_add_errors(kwargs, msg):
+    sankey = Sankey()
+    with pytest.raises(ValueError, match=msg):
+        sankey.add(flows=[0.2, -0.2])
+        sankey.add(**kwargs)
+
+
+def test_sankey2():
+    s = Sankey(flows=[0.25, -0.25, 0.5, -0.5], labels=['Foo'],
+               orientations=[-1], unit='Bar')
+    sf = s.finish()
+    assert_array_equal(sf[0].flows, [0.25, -0.25, 0.5, -0.5])
+    assert sf[0].angles == [1, 3, 1, 3]
+    assert all([text.get_text()[0:3] == 'Foo' for text in sf[0].texts])
+    assert all([text.get_text()[-3:] == 'Bar' for text in sf[0].texts])
+    assert sf[0].text.get_text() == ''
+    assert_allclose(sf[0].tips,
+                    [(-1.375, -0.52011255),
+                     (1.375, -0.75506044),
+                     (-0.75, -0.41522509),
+                     (0.75, -0.8599479)])
+
+    s = Sankey(flows=[0.25, -0.25, 0, 0.5, -0.5], labels=['Foo'],
+               orientations=[-1], unit='Bar')
+    sf = s.finish()
+    assert_array_equal(sf[0].flows, [0.25, -0.25, 0, 0.5, -0.5])
+    assert sf[0].angles == [1, 3, None, 1, 3]
+    assert_allclose(sf[0].tips,
+                    [(-1.375, -0.52011255),
+                     (1.375, -0.75506044),
+                     (0, 0),
+                     (-0.75, -0.41522509),
+                     (0.75, -0.8599479)])
+
+
+@check_figures_equal()
+def test_sankey3(fig_test, fig_ref):
+    ax_test = fig_test.gca()
+    s_test = Sankey(ax=ax_test, flows=[0.25, -0.25, -0.25, 0.25, 0.5, -0.5],
+                    orientations=[1, -1, 1, -1, 0, 0])
+    s_test.finish()
+
+    ax_ref = fig_ref.gca()
+    s_ref = Sankey(ax=ax_ref)
+    s_ref.add(flows=[0.25, -0.25, -0.25, 0.25, 0.5, -0.5],
+              orientations=[1, -1, 1, -1, 0, 0])
+    s_ref.finish()
diff --git a/lib/matplotlib/tests/test_scale.py b/lib/matplotlib/tests/test_scale.py
index 4a582bfedeae..b3da951cf464 100644
--- a/lib/matplotlib/tests/test_scale.py
+++ b/lib/matplotlib/tests/test_scale.py
@@ -1,20 +1,77 @@
-from __future__ import print_function
+import copy
 
-from matplotlib.testing.decorators import image_comparison, cleanup
 import matplotlib.pyplot as plt
+from matplotlib.scale import (
+    AsinhScale, AsinhTransform,
+    LogTransform, InvertedLogTransform,
+    SymmetricalLogTransform)
+import matplotlib.scale as mscale
+from matplotlib.ticker import AsinhLocator, LogFormatterSciNotation
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+
 import numpy as np
+from numpy.testing import assert_allclose
 import io
+import pytest
+
+
+@check_figures_equal()
+def test_log_scales(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot(122, yscale='log', xscale='symlog')
+    ax_test.axvline(24.1)
+    ax_test.axhline(24.1)
+    xlim = ax_test.get_xlim()
+    ylim = ax_test.get_ylim()
+    ax_ref = fig_ref.add_subplot(122, yscale='log', xscale='symlog')
+    ax_ref.set(xlim=xlim, ylim=ylim)
+    ax_ref.plot([24.1, 24.1], ylim, 'b')
+    ax_ref.plot(xlim, [24.1, 24.1], 'b')
+
+
+def test_symlog_mask_nan():
+    # Use a transform round-trip to verify that the forward and inverse
+    # transforms work, and that they respect nans and/or masking.
+    slt = SymmetricalLogTransform(10, 2, 1)
+    slti = slt.inverted()
+
+    x = np.arange(-1.5, 5, 0.5)
+    out = slti.transform_non_affine(slt.transform_non_affine(x))
+    assert_allclose(out, x)
+    assert type(out) is type(x)
+
+    x[4] = np.nan
+    out = slti.transform_non_affine(slt.transform_non_affine(x))
+    assert_allclose(out, x)
+    assert type(out) is type(x)
+
+    x = np.ma.array(x)
+    out = slti.transform_non_affine(slt.transform_non_affine(x))
+    assert_allclose(out, x)
+    assert type(out) is type(x)
 
+    x[3] = np.ma.masked
+    out = slti.transform_non_affine(slt.transform_non_affine(x))
+    assert_allclose(out, x)
+    assert type(out) is type(x)
 
-@image_comparison(baseline_images=['log_scales'], remove_text=True)
-def test_log_scales():
-    ax = plt.subplot(122, yscale='log', xscale='symlog')
 
-    ax.axvline(24.1)
-    ax.axhline(24.1)
+@image_comparison(['logit_scales.png'], remove_text=True)
+def test_logit_scales():
+    fig, ax = plt.subplots()
+
+    # Typical extinction curve for logit
+    x = np.array([0.001, 0.003, 0.01, 0.03, 0.1, 0.2, 0.3, 0.4, 0.5,
+                  0.6, 0.7, 0.8, 0.9, 0.97, 0.99, 0.997, 0.999])
+    y = 1.0 / x
+
+    ax.plot(x, y)
+    ax.set_xscale('logit')
+    ax.grid(True)
+    bbox = ax.get_tightbbox(fig.canvas.get_renderer())
+    assert np.isfinite(bbox.x0)
+    assert np.isfinite(bbox.y0)
 
 
-@cleanup
 def test_log_scatter():
     """Issue #1799"""
     fig, ax = plt.subplots(1)
@@ -32,3 +89,209 @@ def test_log_scatter():
 
     buf = io.BytesIO()
     fig.savefig(buf, format='svg')
+
+
+def test_logscale_subs():
+    fig, ax = plt.subplots()
+    ax.set_yscale('log', subs=np.array([2, 3, 4]))
+    # force draw
+    fig.canvas.draw()
+
+
+@image_comparison(['logscale_mask.png'], remove_text=True)
+def test_logscale_mask():
+    # Check that zero values are masked correctly on log scales.
+    # See github issue 8045
+    xs = np.linspace(0, 50, 1001)
+
+    fig, ax = plt.subplots()
+    ax.plot(np.exp(-xs**2))
+    fig.canvas.draw()
+    ax.set(yscale="log",
+           yticks=10.**np.arange(-300, 0, 24))  # Backcompat tick selection.
+
+
+def test_extra_kwargs_raise():
+    fig, ax = plt.subplots()
+
+    for scale in ['linear', 'log', 'symlog']:
+        with pytest.raises(TypeError):
+            ax.set_yscale(scale, foo='mask')
+
+
+def test_logscale_invert_transform():
+    fig, ax = plt.subplots()
+    ax.set_yscale('log')
+    # get transformation from data to axes
+    tform = (ax.transAxes + ax.transData.inverted()).inverted()
+
+    # direct test of log transform inversion
+    inverted_transform = LogTransform(base=2).inverted()
+    assert isinstance(inverted_transform, InvertedLogTransform)
+    assert inverted_transform.base == 2
+
+
+def test_logscale_transform_repr():
+    fig, ax = plt.subplots()
+    ax.set_yscale('log')
+    repr(ax.transData)
+    repr(LogTransform(10, nonpositive='clip'))
+
+
+@image_comparison(['logscale_nonpos_values.png'],
+                  remove_text=True, tol=0.02, style='mpl20')
+def test_logscale_nonpos_values():
+    np.random.seed(19680801)
+    xs = np.random.normal(size=int(1e3))
+    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
+    ax1.hist(xs, range=(-5, 5), bins=10)
+    ax1.set_yscale('log')
+    ax2.hist(xs, range=(-5, 5), bins=10)
+    ax2.set_yscale('log', nonpositive='mask')
+
+    xdata = np.arange(0, 10, 0.01)
+    ydata = np.exp(-xdata)
+    edata = 0.2*(10-xdata)*np.cos(5*xdata)*np.exp(-xdata)
+
+    ax3.fill_between(xdata, ydata - edata, ydata + edata)
+    ax3.set_yscale('log')
+
+    x = np.logspace(-1, 1)
+    y = x ** 3
+    yerr = x**2
+    ax4.errorbar(x, y, yerr=yerr)
+
+    ax4.set_yscale('log')
+    ax4.set_xscale('log')
+    ax4.set_yticks([1e-2, 1, 1e+2])  # Backcompat tick selection.
+
+
+def test_invalid_log_lims():
+    # Check that invalid log scale limits are ignored
+    fig, ax = plt.subplots()
+    ax.scatter(range(0, 4), range(0, 4))
+
+    ax.set_xscale('log')
+    original_xlim = ax.get_xlim()
+    with pytest.warns(UserWarning):
+        ax.set_xlim(left=0)
+    assert ax.get_xlim() == original_xlim
+    with pytest.warns(UserWarning):
+        ax.set_xlim(right=-1)
+    assert ax.get_xlim() == original_xlim
+
+    ax.set_yscale('log')
+    original_ylim = ax.get_ylim()
+    with pytest.warns(UserWarning):
+        ax.set_ylim(bottom=0)
+    assert ax.get_ylim() == original_ylim
+    with pytest.warns(UserWarning):
+        ax.set_ylim(top=-1)
+    assert ax.get_ylim() == original_ylim
+
+
+@image_comparison(['function_scales.png'], remove_text=True, style='mpl20')
+def test_function_scale():
+    def inverse(x):
+        return x**2
+
+    def forward(x):
+        return x**(1/2)
+
+    fig, ax = plt.subplots()
+
+    x = np.arange(1, 1000)
+
+    ax.plot(x, x)
+    ax.set_xscale('function', functions=(forward, inverse))
+    ax.set_xlim(1, 1000)
+
+
+def test_pass_scale():
+    # test passing a scale object works...
+    fig, ax = plt.subplots()
+    scale = mscale.LogScale(axis=None)
+    ax.set_xscale(scale)
+    scale = mscale.LogScale(axis=None)
+    ax.set_yscale(scale)
+    assert ax.xaxis.get_scale() == 'log'
+    assert ax.yaxis.get_scale() == 'log'
+
+
+def test_scale_deepcopy():
+    sc = mscale.LogScale(axis='x', base=10)
+    sc2 = copy.deepcopy(sc)
+    assert str(sc.get_transform()) == str(sc2.get_transform())
+    assert sc._transform is not sc2._transform
+
+
+class TestAsinhScale:
+    def test_transforms(self):
+        a0 = 17.0
+        a = np.linspace(-50, 50, 100)
+
+        forward = AsinhTransform(a0)
+        inverse = forward.inverted()
+        invinv = inverse.inverted()
+
+        a_forward = forward.transform_non_affine(a)
+        a_inverted = inverse.transform_non_affine(a_forward)
+        assert_allclose(a_inverted, a)
+
+        a_invinv = invinv.transform_non_affine(a)
+        assert_allclose(a_invinv, a0 * np.arcsinh(a / a0))
+
+    def test_init(self):
+        fig, ax = plt.subplots()
+
+        s = AsinhScale(axis=None, linear_width=23.0)
+        assert s.linear_width == 23
+        assert s._base == 10
+        assert s._subs == (2, 5)
+
+        tx = s.get_transform()
+        assert isinstance(tx, AsinhTransform)
+        assert tx.linear_width == s.linear_width
+
+    def test_base_init(self):
+        fig, ax = plt.subplots()
+
+        s3 = AsinhScale(axis=None, base=3)
+        assert s3._base == 3
+        assert s3._subs == (2,)
+
+        s7 = AsinhScale(axis=None, base=7, subs=(2, 4))
+        assert s7._base == 7
+        assert s7._subs == (2, 4)
+
+    def test_fmtloc(self):
+        class DummyAxis:
+            def __init__(self):
+                self.fields = {}
+            def set(self, **kwargs):
+                self.fields.update(**kwargs)
+            def set_major_formatter(self, f):
+                self.fields['major_formatter'] = f
+
+        ax0 = DummyAxis()
+        s0 = AsinhScale(axis=ax0, base=0)
+        s0.set_default_locators_and_formatters(ax0)
+        assert isinstance(ax0.fields['major_locator'], AsinhLocator)
+        assert isinstance(ax0.fields['major_formatter'], str)
+
+        ax5 = DummyAxis()
+        s7 = AsinhScale(axis=ax5, base=5)
+        s7.set_default_locators_and_formatters(ax5)
+        assert isinstance(ax5.fields['major_locator'], AsinhLocator)
+        assert isinstance(ax5.fields['major_formatter'],
+                          LogFormatterSciNotation)
+
+    def test_bad_scale(self):
+        fig, ax = plt.subplots()
+
+        with pytest.raises(ValueError):
+            AsinhScale(axis=None, linear_width=0)
+        with pytest.raises(ValueError):
+            AsinhScale(axis=None, linear_width=-1)
+        s0 = AsinhScale(axis=None, )
+        s1 = AsinhScale(axis=None, linear_width=3.0)
diff --git a/lib/matplotlib/tests/test_simplification.py b/lib/matplotlib/tests/test_simplification.py
index e99ac097a989..bc9b46b14db2 100644
--- a/lib/matplotlib/tests/test_simplification.py
+++ b/lib/matplotlib/tests/test_simplification.py
@@ -1,125 +1,426 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+import base64
+import io
+import platform
 
 import numpy as np
-import matplotlib
-from matplotlib.testing.decorators import image_comparison, knownfailureif, cleanup
-import matplotlib.pyplot as plt
+from numpy.testing import assert_array_almost_equal, assert_array_equal
 
-from pylab import *
-import numpy as np
-from matplotlib import patches, path, transforms
+import pytest
 
-from nose.tools import raises
-import io
+from matplotlib.testing.decorators import (
+    check_figures_equal, image_comparison, remove_ticks_and_titles)
+import matplotlib.pyplot as plt
+
+from matplotlib import patches, transforms
+from matplotlib.path import Path
 
-nan = np.nan
-Path = path.Path
 
 # NOTE: All of these tests assume that path.simplify is set to True
 # (the default)
 
-@image_comparison(baseline_images=['clipping'], remove_text=True)
+@image_comparison(['clipping'], remove_text=True)
 def test_clipping():
     t = np.arange(0.0, 2.0, 0.01)
-    s = np.sin(2*pi*t)
+    s = np.sin(2*np.pi*t)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(t, s, linewidth=1.0)
     ax.set_ylim((-0.20, -0.28))
 
-@image_comparison(baseline_images=['overflow'], remove_text=True)
+
+@image_comparison(['overflow'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.007)
 def test_overflow():
-    x = np.array([1.0,2.0,3.0,2.0e5])
+    x = np.array([1.0, 2.0, 3.0, 2.0e5])
     y = np.arange(len(x))
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.plot(x,y)
-    ax.set_xlim(xmin=2,xmax=6)
+    fig, ax = plt.subplots()
+    ax.plot(x, y)
+    ax.set_xlim(2, 6)
+
 
-@image_comparison(baseline_images=['clipping_diamond'], remove_text=True)
+@image_comparison(['clipping_diamond'], remove_text=True)
 def test_diamond():
     x = np.array([0.0, 1.0, 0.0, -1.0, 0.0])
     y = np.array([1.0, 0.0, -1.0, 0.0, 1.0])
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y)
-    ax.set_xlim(xmin=-0.6, xmax=0.6)
-    ax.set_ylim(ymin=-0.6, ymax=0.6)
+    ax.set_xlim(-0.6, 0.6)
+    ax.set_ylim(-0.6, 0.6)
+
+
+def test_clipping_out_of_bounds():
+    # Should work on a Path *without* codes.
+    path = Path([(0, 0), (1, 2), (2, 1)])
+    simplified = path.cleaned(clip=(10, 10, 20, 20))
+    assert_array_equal(simplified.vertices, [(0, 0)])
+    assert simplified.codes == [Path.STOP]
+
+    # Should work on a Path *with* codes, and no curves.
+    path = Path([(0, 0), (1, 2), (2, 1)],
+                [Path.MOVETO, Path.LINETO, Path.LINETO])
+    simplified = path.cleaned(clip=(10, 10, 20, 20))
+    assert_array_equal(simplified.vertices, [(0, 0)])
+    assert simplified.codes == [Path.STOP]
+
+    # A Path with curves does not do any clipping yet.
+    path = Path([(0, 0), (1, 2), (2, 3)],
+                [Path.MOVETO, Path.CURVE3, Path.CURVE3])
+    simplified = path.cleaned()
+    simplified_clipped = path.cleaned(clip=(10, 10, 20, 20))
+    assert_array_equal(simplified.vertices, simplified_clipped.vertices)
+    assert_array_equal(simplified.codes, simplified_clipped.codes)
+
 
-@cleanup
 def test_noise():
     np.random.seed(0)
-    x = np.random.uniform(size=(5000,)) * 50
+    x = np.random.uniform(size=50000) * 50
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     p1 = ax.plot(x, solid_joinstyle='round', linewidth=2.0)
 
+    # Ensure that the path's transform takes the new axes limits into account.
+    fig.canvas.draw()
     path = p1[0].get_path()
     transform = p1[0].get_transform()
     path = transform.transform_path(path)
-    simplified = list(path.iter_segments(simplify=(800, 600)))
+    simplified = path.cleaned(simplify=True)
+
+    assert simplified.vertices.size == 25512
+
+
+def test_antiparallel_simplification():
+    def _get_simplified(x, y):
+        fig, ax = plt.subplots()
+        p1 = ax.plot(x, y)
+
+        path = p1[0].get_path()
+        transform = p1[0].get_transform()
+        path = transform.transform_path(path)
+        simplified = path.cleaned(simplify=True)
+        simplified = transform.inverted().transform_path(simplified)
+
+        return simplified
+
+    # test ending on a maximum
+    x = [0, 0, 0, 0, 0, 1]
+    y = [.5, 1, -1, 1, 2, .5]
+
+    simplified = _get_simplified(x, y)
+
+    assert_array_almost_equal([[0., 0.5],
+                               [0., -1.],
+                               [0., 2.],
+                               [1., 0.5]],
+                              simplified.vertices[:-2, :])
+
+    # test ending on a minimum
+    x = [0, 0,  0, 0, 0, 1]
+    y = [.5, 1, -1, 1, -2, .5]
+
+    simplified = _get_simplified(x, y)
+
+    assert_array_almost_equal([[0., 0.5],
+                               [0., 1.],
+                               [0., -2.],
+                               [1., 0.5]],
+                              simplified.vertices[:-2, :])
+
+    # test ending in between
+    x = [0, 0, 0, 0, 0, 1]
+    y = [.5, 1, -1, 1, 0, .5]
+
+    simplified = _get_simplified(x, y)
+
+    assert_array_almost_equal([[0., 0.5],
+                               [0., 1.],
+                               [0., -1.],
+                               [0., 0.],
+                               [1., 0.5]],
+                              simplified.vertices[:-2, :])
+
+    # test no anti-parallel ending at max
+    x = [0, 0, 0, 0, 0, 1]
+    y = [.5, 1, 2, 1, 3, .5]
+
+    simplified = _get_simplified(x, y)
+
+    assert_array_almost_equal([[0., 0.5],
+                               [0., 3.],
+                               [1., 0.5]],
+                              simplified.vertices[:-2, :])
+
+    # test no anti-parallel ending in middle
+    x = [0, 0, 0, 0, 0, 1]
+    y = [.5, 1, 2, 1, 1, .5]
+
+    simplified = _get_simplified(x, y)
+
+    assert_array_almost_equal([[0., 0.5],
+                               [0., 2.],
+                               [0., 1.],
+                               [1., 0.5]],
+                              simplified.vertices[:-2, :])
+
+
+# Only consider angles in 0 <= angle <= pi/2, otherwise
+# using min/max will get the expected results out of order:
+# min/max for simplification code depends on original vector,
+# and if angle is outside above range then simplification
+# min/max will be opposite from actual min/max.
+@pytest.mark.parametrize('angle', [0, np.pi/4, np.pi/3, np.pi/2])
+@pytest.mark.parametrize('offset', [0, .5])
+def test_angled_antiparallel(angle, offset):
+    scale = 5
+    np.random.seed(19680801)
+    # get 15 random offsets
+    # TODO: guarantee offset > 0 results in some offsets < 0
+    vert_offsets = (np.random.rand(15) - offset) * scale
+    # always start at 0 so rotation makes sense
+    vert_offsets[0] = 0
+    # always take the first step the same direction
+    vert_offsets[1] = 1
+    # compute points along a diagonal line
+    x = np.sin(angle) * vert_offsets
+    y = np.cos(angle) * vert_offsets
+
+    # will check these later
+    x_max = x[1:].max()
+    x_min = x[1:].min()
+
+    y_max = y[1:].max()
+    y_min = y[1:].min()
+
+    if offset > 0:
+        p_expected = Path([[0, 0],
+                           [x_max, y_max],
+                           [x_min, y_min],
+                           [x[-1], y[-1]],
+                           [0, 0]],
+                          codes=[1, 2, 2, 2, 0])
+
+    else:
+        p_expected = Path([[0, 0],
+                           [x_max, y_max],
+                           [x[-1], y[-1]],
+                           [0, 0]],
+                          codes=[1, 2, 2, 0])
+
+    p = Path(np.vstack([x, y]).T)
+    p2 = p.cleaned(simplify=True)
+
+    assert_array_almost_equal(p_expected.vertices,
+                              p2.vertices)
+    assert_array_equal(p_expected.codes, p2.codes)
 
-    assert len(simplified) == 3884
 
-@cleanup
 def test_sine_plus_noise():
     np.random.seed(0)
-    x = np.sin(np.linspace(0, np.pi * 2.0, 1000)) + np.random.uniform(size=(1000,)) * 0.01
+    x = (np.sin(np.linspace(0, np.pi * 2.0, 50000)) +
+         np.random.uniform(size=50000) * 0.01)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     p1 = ax.plot(x, solid_joinstyle='round', linewidth=2.0)
 
+    # Ensure that the path's transform takes the new axes limits into account.
+    fig.canvas.draw()
     path = p1[0].get_path()
     transform = p1[0].get_transform()
     path = transform.transform_path(path)
-    simplified = list(path.iter_segments(simplify=(800, 600)))
+    simplified = path.cleaned(simplify=True)
 
-    assert len(simplified) == 876
+    assert simplified.vertices.size == 25240
 
-@image_comparison(baseline_images=['simplify_curve'], remove_text=True)
+
+@image_comparison(['simplify_curve'], remove_text=True, tol=0.017)
 def test_simplify_curve():
     pp1 = patches.PathPatch(
-        Path([(0, 0), (1, 0), (1, 1), (nan, 1), (0, 0), (2, 0), (2, 2), (0, 0)],
-             [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CURVE3, Path.CURVE3, Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY]),
+        Path([(0, 0), (1, 0), (1, 1), (np.nan, 1), (0, 0), (2, 0), (2, 2),
+              (0, 0)],
+             [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CURVE3, Path.CURVE3,
+              Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY]),
         fc="none")
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.add_patch(pp1)
     ax.set_xlim((0, 2))
     ax.set_ylim((0, 2))
 
-@image_comparison(baseline_images=['hatch_simplify'], remove_text=True)
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_closed_path_nan_removal(fig_test, fig_ref):
+    ax_test = fig_test.subplots(2, 2).flatten()
+    ax_ref = fig_ref.subplots(2, 2).flatten()
+
+    # NaN on the first point also removes the last point, because it's closed.
+    path = Path(
+        [[-3, np.nan], [3, -3], [3, 3], [-3, 3], [-3, -3]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    ax_test[0].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-3, np.nan], [3, -3], [3, 3], [-3, 3], [-3, np.nan]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.LINETO])
+    ax_ref[0].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN on second-last point should not re-close.
+    path = Path(
+        [[-2, -2], [2, -2], [2, 2], [-2, np.nan], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    ax_test[0].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-2, -2], [2, -2], [2, 2], [-2, np.nan], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.LINETO])
+    ax_ref[0].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # Test multiple loops in a single path (with same paths as above).
+    path = Path(
+        [[-3, np.nan], [3, -3], [3, 3], [-3, 3], [-3, -3],
+         [-2, -2], [2, -2], [2, 2], [-2, np.nan], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY,
+         Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    ax_test[1].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-3, np.nan], [3, -3], [3, 3], [-3, 3], [-3, np.nan],
+         [-2, -2], [2, -2], [2, 2], [-2, np.nan], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.LINETO,
+         Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.LINETO])
+    ax_ref[1].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN in first point of CURVE3 should not re-close, and hide entire curve.
+    path = Path(
+        [[-1, -1], [1, -1], [1, np.nan], [0, 1], [-1, 1], [-1, -1]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE3, Path.CURVE3, Path.LINETO,
+         Path.CLOSEPOLY])
+    ax_test[2].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-1, -1], [1, -1], [1, np.nan], [0, 1], [-1, 1], [-1, -1]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE3, Path.CURVE3, Path.LINETO,
+         Path.CLOSEPOLY])
+    ax_ref[2].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN in second point of CURVE3 should not re-close, and hide entire curve
+    # plus next line segment.
+    path = Path(
+        [[-3, -3], [3, -3], [3, 0], [0, np.nan], [-3, 3], [-3, -3]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE3, Path.CURVE3, Path.LINETO,
+         Path.LINETO])
+    ax_test[2].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-3, -3], [3, -3], [3, 0], [0, np.nan], [-3, 3], [-3, -3]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE3, Path.CURVE3, Path.LINETO,
+         Path.LINETO])
+    ax_ref[2].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN in first point of CURVE4 should not re-close, and hide entire curve.
+    path = Path(
+        [[-1, -1], [1, -1], [1, np.nan], [0, 0], [0, 1], [-1, 1], [-1, -1]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.CLOSEPOLY])
+    ax_test[3].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-1, -1], [1, -1], [1, np.nan], [0, 0], [0, 1], [-1, 1], [-1, -1]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.CLOSEPOLY])
+    ax_ref[3].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN in second point of CURVE4 should not re-close, and hide entire curve.
+    path = Path(
+        [[-2, -2], [2, -2], [2, 0], [0, np.nan], [0, 2], [-2, 2], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.LINETO])
+    ax_test[3].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-2, -2], [2, -2], [2, 0], [0, np.nan], [0, 2], [-2, 2], [-2, -2]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.LINETO])
+    ax_ref[3].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # NaN in third point of CURVE4 should not re-close, and hide entire curve
+    # plus next line segment.
+    path = Path(
+        [[-3, -3], [3, -3], [3, 0], [0, 0], [0, np.nan], [-3, 3], [-3, -3]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.LINETO])
+    ax_test[3].add_patch(patches.PathPatch(path, facecolor='none'))
+    path = Path(
+        [[-3, -3], [3, -3], [3, 0], [0, 0], [0, np.nan], [-3, 3], [-3, -3]],
+        [Path.MOVETO, Path.LINETO, Path.CURVE4, Path.CURVE4, Path.CURVE4,
+         Path.LINETO, Path.LINETO])
+    ax_ref[3].add_patch(patches.PathPatch(path, facecolor='none'))
+
+    # Keep everything clean.
+    for ax in [*ax_test.flat, *ax_ref.flat]:
+        ax.set(xlim=(-3.5, 3.5), ylim=(-3.5, 3.5))
+    remove_ticks_and_titles(fig_test)
+    remove_ticks_and_titles(fig_ref)
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_closed_path_clipping(fig_test, fig_ref):
+    vertices = []
+    for roll in range(8):
+        offset = 0.1 * roll + 0.1
+
+        # A U-like pattern.
+        pattern = [
+            [-0.5, 1.5], [-0.5, -0.5], [1.5, -0.5], [1.5, 1.5],  # Outer square
+            # With a notch in the top.
+            [1 - offset / 2, 1.5], [1 - offset / 2, offset],
+            [offset / 2, offset], [offset / 2, 1.5],
+        ]
+
+        # Place the initial/final point anywhere in/out of the clipping area.
+        pattern = np.roll(pattern, roll, axis=0)
+        pattern = np.concatenate((pattern, pattern[:1, :]))
+
+        vertices.append(pattern)
+
+    # Multiple subpaths are used here to ensure they aren't broken by closed
+    # loop clipping.
+    codes = np.full(len(vertices[0]), Path.LINETO)
+    codes[0] = Path.MOVETO
+    codes[-1] = Path.CLOSEPOLY
+    codes = np.tile(codes, len(vertices))
+    vertices = np.concatenate(vertices)
+
+    fig_test.set_size_inches((5, 5))
+    path = Path(vertices, codes)
+    fig_test.add_artist(patches.PathPatch(path, facecolor='none'))
+
+    # For reference, we draw the same thing, but unclosed by using a line to
+    # the last point only.
+    fig_ref.set_size_inches((5, 5))
+    codes = codes.copy()
+    codes[codes == Path.CLOSEPOLY] = Path.LINETO
+    path = Path(vertices, codes)
+    fig_ref.add_artist(patches.PathPatch(path, facecolor='none'))
+
+
+@image_comparison(['hatch_simplify'], remove_text=True)
 def test_hatch():
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.add_patch(Rectangle((0, 0), 1, 1, fill=False, hatch="/"))
+    fig, ax = plt.subplots()
+    ax.add_patch(plt.Rectangle((0, 0), 1, 1, fill=False, hatch="/"))
     ax.set_xlim((0.45, 0.55))
     ax.set_ylim((0.45, 0.55))
 
-@image_comparison(baseline_images=['fft_peaks'], remove_text=True)
+
+@image_comparison(['fft_peaks'], remove_text=True)
 def test_fft_peaks():
-    fig = plt.figure()
-    t = arange(65536)
-    ax = fig.add_subplot(111)
-    p1 = ax.plot(abs(fft(sin(2*pi*.01*t)*blackman(len(t)))))
+    fig, ax = plt.subplots()
+    t = np.arange(65536)
+    p1 = ax.plot(abs(np.fft.fft(np.sin(2*np.pi*.01*t)*np.blackman(len(t)))))
 
+    # Ensure that the path's transform takes the new axes limits into account.
+    fig.canvas.draw()
     path = p1[0].get_path()
     transform = p1[0].get_transform()
     path = transform.transform_path(path)
-    simplified = list(path.iter_segments(simplify=(800, 600)))
+    simplified = path.cleaned(simplify=True)
+
+    assert simplified.vertices.size == 36
 
-    assert len(simplified) == 20
 
-@cleanup
 def test_start_with_moveto():
     # Should be entirely clipped away to a single MOVETO
     data = b"""
@@ -144,44 +445,35 @@ def test_start_with_moveto():
 AABHqP//ej8AAD6z//+FPwAANb7//48/AAAsyf//lz8AACPU//+ePwAAGt///6M/AAAR6v//pj8A
 AAj1//+nPwAA/////w=="""
 
-    import base64
-    if hasattr(base64, 'encodebytes'):
-        # Python 3 case
-        decodebytes = base64.decodebytes
-    else:
-        # Python 2 case
-        decodebytes = base64.decodestring
-
-    verts = np.fromstring(decodebytes(data), dtype='<i4')
+    verts = np.frombuffer(base64.decodebytes(data), dtype='<i4')
     verts = verts.reshape((len(verts) // 2, 2))
     path = Path(verts)
-    segs = path.iter_segments(transforms.IdentityTransform(), clip=(0.0, 0.0, 100.0, 100.0))
+    segs = path.iter_segments(transforms.IdentityTransform(),
+                              clip=(0.0, 0.0, 100.0, 100.0))
     segs = list(segs)
     assert len(segs) == 1
     assert segs[0][1] == Path.MOVETO
 
-@cleanup
-@raises(OverflowError)
+
 def test_throw_rendering_complexity_exceeded():
-    rcParams['path.simplify'] = False
-    xx = np.arange(200000)
-    yy = np.random.rand(200000)
+    plt.rcParams['path.simplify'] = False
+    xx = np.arange(2_000_000)
+    yy = np.random.rand(2_000_000)
     yy[1000] = np.nan
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+
+    fig, ax = plt.subplots()
     ax.plot(xx, yy)
-    try:
+    with pytest.raises(OverflowError):
         fig.savefig(io.BytesIO())
-    finally:
-        rcParams['path.simplify'] = True
 
-@image_comparison(baseline_images=['clipper_edge'], remove_text=True)
+
+@image_comparison(['clipper_edge'], remove_text=True)
 def test_clipper():
     dat = (0, 1, 0, 2, 0, 3, 0, 4, 0, 5)
     fig = plt.figure(figsize=(2, 1))
-    fig.subplots_adjust(left = 0, bottom = 0, wspace = 0, hspace = 0)
+    fig.subplots_adjust(left=0, bottom=0, wspace=0, hspace=0)
 
-    ax = fig.add_axes((0, 0, 1.0, 1.0), ylim = (0, 5), autoscale_on = False)
+    ax = fig.add_axes((0, 0, 1.0, 1.0), ylim=(0, 5), autoscale_on=False)
     ax.plot(dat)
     ax.xaxis.set_major_locator(plt.MultipleLocator(1))
     ax.yaxis.set_major_locator(plt.MultipleLocator(1))
@@ -190,28 +482,90 @@ def test_clipper():
 
     ax.set_xlim(5, 9)
 
-@image_comparison(baseline_images=['para_equal_perp'], remove_text=True)
+
+@image_comparison(['para_equal_perp'], remove_text=True)
 def test_para_equal_perp():
     x = np.array([0, 1, 2, 1, 0, -1, 0, 1] + [1] * 128)
     y = np.array([1, 1, 2, 1, 0, -1, 0, 0] + [0] * 128)
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x + 1, y + 1)
     ax.plot(x + 1, y + 1, 'ro')
 
-@image_comparison(baseline_images=['clipping_with_nans'])
+
+@image_comparison(['clipping_with_nans'])
 def test_clipping_with_nans():
     x = np.linspace(0, 3.14 * 2, 3000)
     y = np.sin(x)
     x[::100] = np.nan
 
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot(x, y)
     ax.set_ylim(-0.25, 0.25)
 
 
-if __name__=='__main__':
-    import nose
-    nose.runmodule(argv=['-s','--with-doctest'], exit=False)
+def test_clipping_full():
+    p = Path([[1e30, 1e30]] * 5)
+    simplified = list(p.iter_segments(clip=[0, 0, 100, 100]))
+    assert simplified == []
+
+    p = Path([[50, 40], [75, 65]], [1, 2])
+    simplified = list(p.iter_segments(clip=[0, 0, 100, 100]))
+    assert ([(list(x), y) for x, y in simplified] ==
+            [([50, 40], 1), ([75, 65], 2)])
+
+    p = Path([[50, 40]], [1])
+    simplified = list(p.iter_segments(clip=[0, 0, 100, 100]))
+    assert ([(list(x), y) for x, y in simplified] ==
+            [([50, 40], 1)])
+
+
+def test_simplify_closepoly():
+    # The values of the vertices in a CLOSEPOLY should always be ignored,
+    # in favor of the most recent MOVETO's vertex values
+    paths = [Path([(1, 1), (2, 1), (2, 2), (np.nan, np.nan)],
+                  [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY]),
+             Path([(1, 1), (2, 1), (2, 2), (40, 50)],
+                  [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])]
+    expected_path = Path([(1, 1), (2, 1), (2, 2), (1, 1), (1, 1), (0, 0)],
+                         [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
+                          Path.LINETO, Path.STOP])
+
+    for path in paths:
+        simplified_path = path.cleaned(simplify=True)
+        assert_array_equal(expected_path.vertices, simplified_path.vertices)
+        assert_array_equal(expected_path.codes, simplified_path.codes)
+
+    # test that a compound path also works
+    path = Path([(1, 1), (2, 1), (2, 2), (np.nan, np.nan),
+                 (-1, 0), (-2, 0), (-2, 1), (np.nan, np.nan)],
+                [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY,
+                 Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY])
+    expected_path = Path([(1, 1), (2, 1), (2, 2), (1, 1),
+                          (-1, 0), (-2, 0), (-2, 1), (-1, 0), (-1, 0), (0, 0)],
+                         [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
+                          Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
+                          Path.LINETO, Path.STOP])
+
+    simplified_path = path.cleaned(simplify=True)
+    assert_array_equal(expected_path.vertices, simplified_path.vertices)
+    assert_array_equal(expected_path.codes, simplified_path.codes)
+
+    # test for a path with an invalid MOVETO
+    # CLOSEPOLY with an invalid MOVETO should be ignored
+    path = Path([(1, 0), (1, -1), (2, -1),
+                 (np.nan, np.nan), (-1, -1), (-2, 1), (-1, 1),
+                 (2, 2), (0, -1)],
+                [Path.MOVETO, Path.LINETO, Path.LINETO,
+                 Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
+                 Path.CLOSEPOLY, Path.LINETO])
+    expected_path = Path([(1, 0), (1, -1), (2, -1),
+                          (np.nan, np.nan), (-1, -1), (-2, 1), (-1, 1),
+                          (0, -1), (0, -1), (0, 0)],
+                         [Path.MOVETO, Path.LINETO, Path.LINETO,
+                          Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO,
+                          Path.LINETO, Path.LINETO, Path.STOP])
+
+    simplified_path = path.cleaned(simplify=True)
+    assert_array_equal(expected_path.vertices, simplified_path.vertices)
+    assert_array_equal(expected_path.codes, simplified_path.codes)
diff --git a/lib/matplotlib/tests/test_skew.py b/lib/matplotlib/tests/test_skew.py
index 662bbc6cbb8c..8527e474fa21 100644
--- a/lib/matplotlib/tests/test_skew.py
+++ b/lib/matplotlib/tests/test_skew.py
@@ -1,22 +1,18 @@
 """
-Testing that skewed axes properly work
+Testing that skewed Axes properly work.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
+from contextlib import ExitStack
 import itertools
-import six
+import platform
 
-from nose.tools import assert_true
-import numpy as np
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import cleanup, image_comparison
+from matplotlib.testing.decorators import image_comparison
 
 from matplotlib.axes import Axes
 import matplotlib.transforms as transforms
 import matplotlib.axis as maxis
 import matplotlib.spines as mspines
-import matplotlib.path as mpath
 import matplotlib.patches as mpatch
 from matplotlib.projections import register_projection
 
@@ -25,75 +21,48 @@
 # interval as appropriate and see what parts of the tick to draw, if any.
 class SkewXTick(maxis.XTick):
     def draw(self, renderer):
-        if not self.get_visible():
-            return
-        renderer.open_group(self.__name__)
+        with ExitStack() as stack:
+            for artist in [self.gridline, self.tick1line, self.tick2line,
+                           self.label1, self.label2]:
+                stack.callback(artist.set_visible, artist.get_visible())
+            needs_lower = transforms.interval_contains(
+                self.axes.lower_xlim, self.get_loc())
+            needs_upper = transforms.interval_contains(
+                self.axes.upper_xlim, self.get_loc())
+            self.tick1line.set_visible(
+                self.tick1line.get_visible() and needs_lower)
+            self.label1.set_visible(
+                self.label1.get_visible() and needs_lower)
+            self.tick2line.set_visible(
+                self.tick2line.get_visible() and needs_upper)
+            self.label2.set_visible(
+                self.label2.get_visible() and needs_upper)
+            super().draw(renderer)
 
-        lower_interval = self.axes.xaxis.lower_interval
-        upper_interval = self.axes.xaxis.upper_interval
-
-        if self.gridOn and transforms.interval_contains(
-                self.axes.xaxis.get_view_interval(), self.get_loc()):
-            self.gridline.draw(renderer)
-
-        if transforms.interval_contains(lower_interval, self.get_loc()):
-            if self.tick1On:
-                self.tick1line.draw(renderer)
-            if self.label1On:
-                self.label1.draw(renderer)
-
-        if transforms.interval_contains(upper_interval, self.get_loc()):
-            if self.tick2On:
-                self.tick2line.draw(renderer)
-            if self.label2On:
-                self.label2.draw(renderer)
-
-        renderer.close_group(self.__name__)
+    def get_view_interval(self):
+        return self.axes.xaxis.get_view_interval()
 
 
 # This class exists to provide two separate sets of intervals to the tick,
 # as well as create instances of the custom tick
 class SkewXAxis(maxis.XAxis):
-    def __init__(self, *args, **kwargs):
-        maxis.XAxis.__init__(self, *args, **kwargs)
-        self.upper_interval = 0.0, 1.0
-
     def _get_tick(self, major):
-        return SkewXTick(self.axes, 0, '', major=major)
-
-    @property
-    def lower_interval(self):
-        return self.axes.viewLim.intervalx
+        return SkewXTick(self.axes, None, major=major)
 
     def get_view_interval(self):
-        return self.upper_interval[0], self.axes.viewLim.intervalx[1]
+        return self.axes.upper_xlim[0], self.axes.lower_xlim[1]
 
 
 # This class exists to calculate the separate data range of the
 # upper X-axis and draw the spine there. It also provides this range
 # to the X-axis artist for ticking and gridlines
 class SkewSpine(mspines.Spine):
-    def __init__(self, axes, spine_type):
-        if spine_type == 'bottom':
-            loc = 0.0
-        else:
-            loc = 1.0
-        mspines.Spine.__init__(self, axes, spine_type,
-                               mpath.Path([(13, loc), (13, loc)]))
-
     def _adjust_location(self):
-        trans = self.axes.transDataToAxes.inverted()
+        pts = self._path.vertices
         if self.spine_type == 'top':
-            yloc = 1.0
+            pts[:, 0] = self.axes.upper_xlim
         else:
-            yloc = 0.0
-        left = trans.transform_point((0.0, yloc))[0]
-        right = trans.transform_point((1.0, yloc))[0]
-
-        pts = self._path.vertices
-        pts[0, 0] = left
-        pts[1, 0] = right
-        self.axis.upper_interval = (left, right)
+            pts[:, 0] = self.axes.lower_xlim
 
 
 # This class handles registration of the skew-xaxes as a projection as well
@@ -101,21 +70,20 @@ def _adjust_location(self):
 # spines and axes instances as appropriate.
 class SkewXAxes(Axes):
     # The projection must specify a name.  This will be used be the
-    # user to select the projection, i.e. ``subplot(111,
-    # projection='skewx')``.
+    # user to select the projection, i.e. ``subplot(projection='skewx')``.
     name = 'skewx'
 
     def _init_axis(self):
-        #Taken from Axes and modified to use our modified X-axis
+        # Taken from Axes and modified to use our modified X-axis
         self.xaxis = SkewXAxis(self)
-        self.spines['top'].register_axis(self.xaxis)
-        self.spines['bottom'].register_axis(self.xaxis)
+        self.spines.top.register_axis(self.xaxis)
+        self.spines.bottom.register_axis(self.xaxis)
         self.yaxis = maxis.YAxis(self)
-        self.spines['left'].register_axis(self.yaxis)
-        self.spines['right'].register_axis(self.yaxis)
+        self.spines.left.register_axis(self.yaxis)
+        self.spines.right.register_axis(self.yaxis)
 
     def _gen_axes_spines(self):
-        spines = {'top': SkewSpine(self, 'top'),
+        spines = {'top': SkewSpine.linear_spine(self, 'top'),
                   'bottom': mspines.Spine.linear_spine(self, 'bottom'),
                   'left': mspines.Spine.linear_spine(self, 'left'),
                   'right': mspines.Spine.linear_spine(self, 'right')}
@@ -128,8 +96,8 @@ def _set_lim_and_transforms(self):
         """
         rot = 30
 
-        #Get the standard transform setup from the Axes base class
-        Axes._set_lim_and_transforms(self)
+        # Get the standard transform setup from the Axes base class
+        super()._set_lim_and_transforms()
 
         # Need to put the skew in the middle, after the scale and limits,
         # but before the transAxes. This way, the skew is done in Axes
@@ -150,12 +118,22 @@ def _set_lim_and_transforms(self):
             transforms.IdentityTransform()) +
             transforms.Affine2D().skew_deg(rot, 0)) + self.transAxes
 
+    @property
+    def lower_xlim(self):
+        return self.axes.viewLim.intervalx
+
+    @property
+    def upper_xlim(self):
+        pts = [[0., 1.], [1., 1.]]
+        return self.transDataToAxes.inverted().transform(pts)[:, 0]
+
+
 # Now register the projection with matplotlib so the user can select
 # it.
 register_projection(SkewXAxes)
 
 
-@image_comparison(baseline_images=['skew_axes'], remove_text=True)
+@image_comparison(['skew_axes.png'], remove_text=True)
 def test_set_line_coll_dash_image():
     fig = plt.figure()
     ax = fig.add_subplot(1, 1, 1, projection='skewx')
@@ -164,32 +142,29 @@ def test_set_line_coll_dash_image():
     ax.grid(True)
 
     # An example of a slanted line at constant X
-    l = ax.axvline(0, color='b')
+    ax.axvline(0, color='b')
 
 
-@image_comparison(baseline_images=['skew_rects'], remove_text=True)
-def test_skew_rectange():
+@image_comparison(['skew_rects.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.009)
+def test_skew_rectangle():
 
-    fix, axes = plt.subplots(5, 5, sharex=True, sharey=True, figsize=(16, 12))
+    fix, axes = plt.subplots(5, 5, sharex=True, sharey=True, figsize=(8, 8))
     axes = axes.flat
 
     rotations = list(itertools.product([-3, -1, 0, 1, 3], repeat=2))
 
-    axes[0].set_xlim([-4, 4])
-    axes[0].set_ylim([-4, 4])
-    axes[0].set_aspect('equal')
+    axes[0].set_xlim([-3, 3])
+    axes[0].set_ylim([-3, 3])
+    axes[0].set_aspect('equal', share=True)
 
     for ax, (xrots, yrots) in zip(axes, rotations):
         xdeg, ydeg = 45 * xrots, 45 * yrots
         t = transforms.Affine2D().skew_deg(xdeg, ydeg)
 
-        ax.set_title('Skew of {0} in X and {1} in Y'.format(xdeg, ydeg))
+        ax.set_title(f'Skew of {xdeg} in X and {ydeg} in Y')
         ax.add_patch(mpatch.Rectangle([-1, -1], 2, 2,
                                       transform=t + ax.transData,
                                       alpha=0.5, facecolor='coral'))
 
-    plt.subplots_adjust(wspace=0, left=0, right=1, bottom=0)
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    plt.subplots_adjust(wspace=0, left=0.01, right=0.99, bottom=0.01, top=0.99)
diff --git a/lib/matplotlib/tests/test_sphinxext.py b/lib/matplotlib/tests/test_sphinxext.py
new file mode 100644
index 000000000000..6a81f56fe924
--- /dev/null
+++ b/lib/matplotlib/tests/test_sphinxext.py
@@ -0,0 +1,215 @@
+"""Tests for tinypages build using sphinx extensions."""
+
+import filecmp
+import os
+from pathlib import Path
+import shutil
+import sys
+
+from matplotlib.testing import subprocess_run_for_testing
+import pytest
+
+
+pytest.importorskip('sphinx', minversion='4.1.3')
+
+
+tinypages = Path(__file__).parent / 'data/tinypages'
+
+
+def build_sphinx_html(source_dir, doctree_dir, html_dir, extra_args=None):
+    # Build the pages with warnings turned into errors
+    extra_args = [] if extra_args is None else extra_args
+    cmd = [sys.executable, '-msphinx', '-W', '-b', 'html',
+           '-d', str(doctree_dir), str(source_dir), str(html_dir), *extra_args]
+    # On CI, gcov emits warnings (due to agg headers being included with the
+    # same name in multiple extension modules -- but we don't care about their
+    # coverage anyways); hide them using GCOV_ERROR_FILE.
+    proc = subprocess_run_for_testing(
+        cmd, capture_output=True, text=True,
+        env={**os.environ, "MPLBACKEND": "", "GCOV_ERROR_FILE": os.devnull}
+    )
+    out = proc.stdout
+    err = proc.stderr
+
+    assert proc.returncode == 0, \
+        f"sphinx build failed with stdout:\n{out}\nstderr:\n{err}\n"
+    if err:
+        pytest.fail(f"sphinx build emitted the following warnings:\n{err}")
+
+    assert html_dir.is_dir()
+
+
+def test_tinypages(tmp_path):
+    shutil.copytree(tinypages, tmp_path, dirs_exist_ok=True)
+    html_dir = tmp_path / '_build' / 'html'
+    img_dir = html_dir / '_images'
+    doctree_dir = tmp_path / 'doctrees'
+
+    # Build the pages with warnings turned into errors
+    build_sphinx_html(tmp_path, doctree_dir, html_dir)
+
+    def plot_file(num):
+        return img_dir / f'some_plots-{num}.png'
+
+    def plot_directive_file(num):
+        # This is always next to the doctree dir.
+        return doctree_dir.parent / 'plot_directive' / f'some_plots-{num}.png'
+
+    range_10, range_6, range_4 = (plot_file(i) for i in range(1, 4))
+    # Plot 5 is range(6) plot
+    assert filecmp.cmp(range_6, plot_file(5))
+    # Plot 7 is range(4) plot
+    assert filecmp.cmp(range_4, plot_file(7))
+    # Plot 11 is range(10) plot
+    assert filecmp.cmp(range_10, plot_file(11))
+    # Plot 12 uses the old range(10) figure and the new range(6) figure
+    assert filecmp.cmp(range_10, plot_file('12_00'))
+    assert filecmp.cmp(range_6, plot_file('12_01'))
+    # Plot 13 shows close-figs in action
+    assert filecmp.cmp(range_4, plot_file(13))
+    # Plot 14 has included source
+    html_contents = (html_dir / 'some_plots.html').read_text(encoding='utf-8')
+
+    assert '# Only a comment' in html_contents
+    # check plot defined in external file.
+    assert filecmp.cmp(range_4, img_dir / 'range4.png')
+    assert filecmp.cmp(range_6, img_dir / 'range6_range6.png')
+    # check if figure caption made it into html file
+    assert 'This is the caption for plot 15.' in html_contents
+    # check if figure caption using :caption: made it into html file (because this plot
+    # doesn't use srcset, the caption preserves newlines in the output.)
+    assert 'Plot 17 uses the caption option,\nwith multi-line input.' in html_contents
+    # check if figure alt text using :alt: made it into html file
+    assert 'Plot 17 uses the alt option, with multi-line input.' in html_contents
+    # check if figure caption made it into html file
+    assert 'This is the caption for plot 18.' in html_contents
+    # check if the custom classes made it into the html file
+    assert 'plot-directive my-class my-other-class' in html_contents
+    # check that the multi-image caption is applied twice
+    assert html_contents.count('This caption applies to both plots.') == 2
+    # Plot 21 is range(6) plot via an include directive. But because some of
+    # the previous plots are repeated, the argument to plot_file() is only 17.
+    assert filecmp.cmp(range_6, plot_file(17))
+    # plot 22 is from the range6.py file again, but a different function
+    assert filecmp.cmp(range_10, img_dir / 'range6_range10.png')
+
+    # Modify the included plot
+    contents = (tmp_path / 'included_plot_21.rst').read_bytes()
+    contents = contents.replace(b'plt.plot(range(6))', b'plt.plot(range(4))')
+    (tmp_path / 'included_plot_21.rst').write_bytes(contents)
+    # Build the pages again and check that the modified file was updated
+    modification_times = [plot_directive_file(i).stat().st_mtime
+                          for i in (1, 2, 3, 5)]
+    build_sphinx_html(tmp_path, doctree_dir, html_dir)
+    assert filecmp.cmp(range_4, plot_file(17))
+    # Check that the plots in the plot_directive folder weren't changed.
+    # (plot_directive_file(1) won't be modified, but it will be copied to html/
+    # upon compilation, so plot_file(1) will be modified)
+    assert plot_directive_file(1).stat().st_mtime == modification_times[0]
+    assert plot_directive_file(2).stat().st_mtime == modification_times[1]
+    assert plot_directive_file(3).stat().st_mtime == modification_times[2]
+    assert filecmp.cmp(range_10, plot_file(1))
+    assert filecmp.cmp(range_6, plot_file(2))
+    assert filecmp.cmp(range_4, plot_file(3))
+    # Make sure that figures marked with context are re-created (but that the
+    # contents are the same)
+    assert plot_directive_file(5).stat().st_mtime > modification_times[3]
+    assert filecmp.cmp(range_6, plot_file(5))
+
+
+def test_plot_html_show_source_link(tmp_path):
+    shutil.copyfile(tinypages / 'conf.py', tmp_path / 'conf.py')
+    shutil.copytree(tinypages / '_static', tmp_path / '_static')
+    doctree_dir = tmp_path / 'doctrees'
+    (tmp_path / 'index.rst').write_text("""
+.. plot::
+
+    plt.plot(range(2))
+""")
+    # Make sure source scripts are created by default
+    html_dir1 = tmp_path / '_build' / 'html1'
+    build_sphinx_html(tmp_path, doctree_dir, html_dir1)
+    assert len(list(html_dir1.glob("**/index-1.py"))) == 1
+    # Make sure source scripts are NOT created when
+    # plot_html_show_source_link` is False
+    html_dir2 = tmp_path / '_build' / 'html2'
+    build_sphinx_html(tmp_path, doctree_dir, html_dir2,
+                      extra_args=['-D', 'plot_html_show_source_link=0'])
+    assert len(list(html_dir2.glob("**/index-1.py"))) == 0
+
+
+@pytest.mark.parametrize('plot_html_show_source_link', [0, 1])
+def test_show_source_link_true(tmp_path, plot_html_show_source_link):
+    # Test that a source link is generated if :show-source-link: is true,
+    # whether or not plot_html_show_source_link is true.
+    shutil.copyfile(tinypages / 'conf.py', tmp_path / 'conf.py')
+    shutil.copytree(tinypages / '_static', tmp_path / '_static')
+    doctree_dir = tmp_path / 'doctrees'
+    (tmp_path / 'index.rst').write_text("""
+.. plot::
+    :show-source-link: true
+
+    plt.plot(range(2))
+""")
+    html_dir = tmp_path / '_build' / 'html'
+    build_sphinx_html(tmp_path, doctree_dir, html_dir, extra_args=[
+        '-D', f'plot_html_show_source_link={plot_html_show_source_link}'])
+    assert len(list(html_dir.glob("**/index-1.py"))) == 1
+
+
+@pytest.mark.parametrize('plot_html_show_source_link', [0, 1])
+def test_show_source_link_false(tmp_path, plot_html_show_source_link):
+    # Test that a source link is NOT generated if :show-source-link: is false,
+    # whether or not plot_html_show_source_link is true.
+    shutil.copyfile(tinypages / 'conf.py', tmp_path / 'conf.py')
+    shutil.copytree(tinypages / '_static', tmp_path / '_static')
+    doctree_dir = tmp_path / 'doctrees'
+    (tmp_path / 'index.rst').write_text("""
+.. plot::
+    :show-source-link: false
+
+    plt.plot(range(2))
+""")
+    html_dir = tmp_path / '_build' / 'html'
+    build_sphinx_html(tmp_path, doctree_dir, html_dir, extra_args=[
+        '-D', f'plot_html_show_source_link={plot_html_show_source_link}'])
+    assert len(list(html_dir.glob("**/index-1.py"))) == 0
+
+
+def test_srcset_version(tmp_path):
+    html_dir = tmp_path / '_build' / 'html'
+    img_dir = html_dir / '_images'
+    doctree_dir = tmp_path / 'doctrees'
+
+    build_sphinx_html(tinypages, doctree_dir, html_dir,
+                      extra_args=['-D', 'plot_srcset=2x'])
+
+    def plot_file(num, suff=''):
+        return img_dir / f'some_plots-{num}{suff}.png'
+
+    # check some-plots
+    for ind in [1, 2, 3, 5, 7, 11, 13, 15, 17]:
+        assert plot_file(ind).exists()
+        assert plot_file(ind, suff='.2x').exists()
+
+    assert (img_dir / 'nestedpage-index-1.png').exists()
+    assert (img_dir / 'nestedpage-index-1.2x.png').exists()
+    assert (img_dir / 'nestedpage-index-2.png').exists()
+    assert (img_dir / 'nestedpage-index-2.2x.png').exists()
+    assert (img_dir / 'nestedpage2-index-1.png').exists()
+    assert (img_dir / 'nestedpage2-index-1.2x.png').exists()
+    assert (img_dir / 'nestedpage2-index-2.png').exists()
+    assert (img_dir / 'nestedpage2-index-2.2x.png').exists()
+
+    # Check html for srcset
+
+    assert ('srcset="_images/some_plots-1.png, _images/some_plots-1.2x.png 2.00x"'
+            in (html_dir / 'some_plots.html').read_text(encoding='utf-8'))
+
+    st = ('srcset="../_images/nestedpage-index-1.png, '
+          '../_images/nestedpage-index-1.2x.png 2.00x"')
+    assert st in (html_dir / 'nestedpage/index.html').read_text(encoding='utf-8')
+
+    st = ('srcset="../_images/nestedpage2-index-2.png, '
+          '../_images/nestedpage2-index-2.2x.png 2.00x"')
+    assert st in (html_dir / 'nestedpage2/index.html').read_text(encoding='utf-8')
diff --git a/lib/matplotlib/tests/test_spines.py b/lib/matplotlib/tests/test_spines.py
index bbf149d8bb4b..353aede00298 100644
--- a/lib/matplotlib/tests/test_spines.py
+++ b/lib/matplotlib/tests/test_spines.py
@@ -1,45 +1,156 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
-import matplotlib
-from matplotlib.testing.decorators import image_comparison
+import pytest
+
 import matplotlib.pyplot as plt
+from matplotlib.spines import Spines
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+
+
+def test_spine_class():
+    """Test Spines and SpinesProxy in isolation."""
+    class SpineMock:
+        def __init__(self):
+            self.val = None
+
+        def set(self, **kwargs):
+            vars(self).update(kwargs)
+
+        def set_val(self, val):
+            self.val = val
+
+    spines_dict = {
+        'left': SpineMock(),
+        'right': SpineMock(),
+        'top': SpineMock(),
+        'bottom': SpineMock(),
+    }
+    spines = Spines(**spines_dict)
 
-@image_comparison(baseline_images=['spines_axes_positions'])
+    assert spines['left'] is spines_dict['left']
+    assert spines.left is spines_dict['left']
+
+    spines[['left', 'right']].set_val('x')
+    assert spines.left.val == 'x'
+    assert spines.right.val == 'x'
+    assert spines.top.val is None
+    assert spines.bottom.val is None
+
+    spines[:].set_val('y')
+    assert all(spine.val == 'y' for spine in spines.values())
+
+    spines[:].set(foo='bar')
+    assert all(spine.foo == 'bar' for spine in spines.values())
+
+    with pytest.raises(AttributeError, match='foo'):
+        spines.foo
+    with pytest.raises(KeyError, match='foo'):
+        spines['foo']
+    with pytest.raises(KeyError, match='foo, bar'):
+        spines[['left', 'foo', 'right', 'bar']]
+    with pytest.raises(ValueError, match='single list'):
+        spines['left', 'right']
+    with pytest.raises(ValueError, match='Spines does not support slicing'):
+        spines['left':'right']
+    with pytest.raises(ValueError, match='Spines does not support slicing'):
+        spines['top':]
+
+
+@image_comparison(['spines_axes_positions.png'])
 def test_spines_axes_positions():
     # SF bug 2852168
     fig = plt.figure()
-    x = np.linspace(0,2*np.pi,100)
+    x = np.linspace(0, 2*np.pi, 100)
     y = 2*np.sin(x)
-    ax = fig.add_subplot(1,1,1)
+    ax = fig.add_subplot(1, 1, 1)
     ax.set_title('centered spines')
-    ax.plot(x,y)
-    ax.spines['right'].set_position(('axes',0.1))
+    ax.plot(x, y)
+    ax.spines.right.set_position(('axes', 0.1))
     ax.yaxis.set_ticks_position('right')
-    ax.spines['top'].set_position(('axes',0.25))
+    ax.spines.top.set_position(('axes', 0.25))
     ax.xaxis.set_ticks_position('top')
-    ax.spines['left'].set_color('none')
-    ax.spines['bottom'].set_color('none')
+    ax.spines.left.set_color('none')
+    ax.spines.bottom.set_color('none')
 
-@image_comparison(baseline_images=['spines_data_positions'])
+
+@image_comparison(['spines_data_positions.png'])
 def test_spines_data_positions():
-    fig = plt.figure()
-    ax = fig.add_subplot(1,1,1)
-    ax.spines['left'].set_position(('data', -1.5))
-    ax.spines['top'].set_position(('data', 0.5))
-    ax.spines['right'].set_position(('data', -0.5))
-    ax.spines['bottom'].set_position('zero')
-    ax.set_xlim([-2,2])
-    ax.set_ylim([-2,2])
-
-@image_comparison(baseline_images=['spines_capstyle'])
+    fig, ax = plt.subplots()
+    ax.spines.left.set_position(('data', -1.5))
+    ax.spines.top.set_position(('data', 0.5))
+    ax.spines.right.set_position(('data', -0.5))
+    ax.spines.bottom.set_position('zero')
+    ax.set_xlim([-2, 2])
+    ax.set_ylim([-2, 2])
+
+
+@check_figures_equal()
+def test_spine_nonlinear_data_positions(fig_test, fig_ref):
+    plt.style.use("default")
+
+    ax = fig_test.add_subplot()
+    ax.set(xscale="log", xlim=(.1, 1))
+    # Use position="data" to visually swap the left and right spines, using
+    # linewidth to distinguish them.  The calls to tick_params removes labels
+    # (for image comparison purposes) and harmonizes tick positions with the
+    # reference).
+    ax.spines.left.set_position(("data", 1))
+    ax.spines.left.set_linewidth(2)
+    ax.spines.right.set_position(("data", .1))
+    ax.tick_params(axis="y", labelleft=False, direction="in")
+
+    ax = fig_ref.add_subplot()
+    ax.set(xscale="log", xlim=(.1, 1))
+    ax.spines.right.set_linewidth(2)
+    ax.tick_params(axis="y", labelleft=False, left=False, right=True)
+
+
+@image_comparison(['spines_capstyle.png'])
 def test_spines_capstyle():
     # issue 2542
     plt.rc('axes', linewidth=20)
-    fig = plt.figure()
-    ax = fig.add_subplot(1,1,1)
+    fig, ax = plt.subplots()
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+def test_label_without_ticks():
+    fig, ax = plt.subplots()
+    plt.subplots_adjust(left=0.3, bottom=0.3)
+    ax.plot(np.arange(10))
+    ax.yaxis.set_ticks_position('left')
+    ax.spines.left.set_position(('outward', 30))
+    ax.spines.right.set_visible(False)
+    ax.set_ylabel('y label')
+    ax.xaxis.set_ticks_position('bottom')
+    ax.spines.bottom.set_position(('outward', 30))
+    ax.spines.top.set_visible(False)
+    ax.set_xlabel('x label')
+    ax.xaxis.set_ticks([])
+    ax.yaxis.set_ticks([])
+    plt.draw()
+
+    spine = ax.spines.left
+    spinebbox = spine.get_transform().transform_path(
+        spine.get_path()).get_extents()
+    assert ax.yaxis.label.get_position()[0] < spinebbox.xmin, \
+        "Y-Axis label not left of the spine"
+
+    spine = ax.spines.bottom
+    spinebbox = spine.get_transform().transform_path(
+        spine.get_path()).get_extents()
+    assert ax.xaxis.label.get_position()[1] < spinebbox.ymin, \
+        "X-Axis label not below the spine"
+
+
+@image_comparison(['black_axes.png'])
+def test_spines_black_axes():
+    # GitHub #18804
+    plt.rcParams["savefig.pad_inches"] = 0
+    plt.rcParams["savefig.bbox"] = 'tight'
+    fig = plt.figure(0, figsize=(4, 4))
+    ax = fig.add_axes((0, 0, 1, 1))
+    ax.set_xticklabels([])
+    ax.set_yticklabels([])
     ax.set_xticks([])
     ax.set_yticks([])
+    ax.set_facecolor((0, 0, 0))
diff --git a/lib/matplotlib/tests/test_streamplot.py b/lib/matplotlib/tests/test_streamplot.py
index 75b9e082da25..697ee527f253 100644
--- a/lib/matplotlib/tests/test_streamplot.py
+++ b/lib/matplotlib/tests/test_streamplot.py
@@ -1,52 +1,165 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
 from numpy.testing import assert_array_almost_equal
+import pytest
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import image_comparison, cleanup
+from matplotlib.testing.decorators import image_comparison
 import matplotlib.transforms as mtransforms
 
 
 def velocity_field():
-    Y, X = np.mgrid[-3:3:100j, -3:3:100j]
+    Y, X = np.mgrid[-3:3:100j, -3:3:200j]
     U = -1 - X**2 + Y
     V = 1 + X - Y**2
     return X, Y, U, V
 
 
-@image_comparison(baseline_images=['streamplot_colormap_test_image'])
+def swirl_velocity_field():
+    x = np.linspace(-3., 3., 200)
+    y = np.linspace(-3., 3., 100)
+    X, Y = np.meshgrid(x, y)
+    a = 0.1
+    U = np.cos(a) * (-Y) - np.sin(a) * X
+    V = np.sin(a) * (-Y) + np.cos(a) * X
+    return x, y, U, V
+
+
+@image_comparison(['streamplot_startpoints.png'], remove_text=True, style='mpl20',
+                  tol=0.003)
+def test_startpoints():
+    # Test varying startpoints. Also tests a non-default num_arrows argument.
+    X, Y, U, V = velocity_field()
+    start_x, start_y = np.meshgrid(np.linspace(X.min(), X.max(), 5),
+                                   np.linspace(Y.min(), Y.max(), 5))
+    start_points = np.column_stack([start_x.ravel(), start_y.ravel()])
+    plt.streamplot(X, Y, U, V, start_points=start_points, num_arrows=4)
+    plt.plot(start_x, start_y, 'ok')
+
+
+@image_comparison(['streamplot_colormap.png'], remove_text=True, style='mpl20',
+                  tol=0.022)
 def test_colormap():
     X, Y, U, V = velocity_field()
     plt.streamplot(X, Y, U, V, color=U, density=0.6, linewidth=2,
-                   cmap=plt.cm.autumn)
+                   cmap="autumn")
     plt.colorbar()
 
 
-@image_comparison(baseline_images=['streamplot_linewidth_test_image'])
+@image_comparison(['streamplot_linewidth.png'], remove_text=True, style='mpl20',
+                  tol=0.03)
 def test_linewidth():
     X, Y, U, V = velocity_field()
-    speed = np.sqrt(U*U + V*V)
-    lw = 5*speed/speed.max()
-    df = 25. / 30.   # Compatibility factor for old test image
-    plt.streamplot(X, Y, U, V, density=[0.5 * df, 1. * df], color='k',
-                   linewidth=lw)
+    speed = np.hypot(U, V)
+    lw = 5 * speed / speed.max()
+    ax = plt.figure().subplots()
+    ax.streamplot(X, Y, U, V, density=[0.5, 1], color='k', linewidth=lw, num_arrows=2)
 
 
-@image_comparison(baseline_images=['streamplot_masks_and_nans_test_image'])
+@image_comparison(['streamplot_masks_and_nans.png'],
+                  remove_text=True, style='mpl20')
 def test_masks_and_nans():
     X, Y, U, V = velocity_field()
     mask = np.zeros(U.shape, dtype=bool)
-    mask[40:60, 40:60] = 1
+    mask[40:60, 80:120] = 1
+    U[:20, :40] = np.nan
     U = np.ma.array(U, mask=mask)
-    U[:20, :20] = np.nan
+    ax = plt.figure().subplots()
     with np.errstate(invalid='ignore'):
-        plt.streamplot(X, Y, U, V, color=U, cmap=plt.cm.Blues)
+        ax.streamplot(X, Y, U, V, color=U, cmap="Blues")
+
+
+@image_comparison(['streamplot_maxlength.png'],
+                  remove_text=True, style='mpl20', tol=0.302)
+def test_maxlength():
+    x, y, U, V = swirl_velocity_field()
+    ax = plt.figure().subplots()
+    ax.streamplot(x, y, U, V, maxlength=10., start_points=[[0., 1.5]],
+                  linewidth=2, density=2)
+    assert ax.get_xlim()[-1] == ax.get_ylim()[-1] == 3
+    # Compatibility for old test image
+    ax.set(xlim=(None, 3.2555988021882305), ylim=(None, 3.078326760195413))
+
+
+@image_comparison(['streamplot_maxlength_no_broken.png'],
+                  remove_text=True, style='mpl20', tol=0.302)
+def test_maxlength_no_broken():
+    x, y, U, V = swirl_velocity_field()
+    ax = plt.figure().subplots()
+    ax.streamplot(x, y, U, V, maxlength=10., start_points=[[0., 1.5]],
+                  linewidth=2, density=2, broken_streamlines=False)
+    assert ax.get_xlim()[-1] == ax.get_ylim()[-1] == 3
+    # Compatibility for old test image
+    ax.set(xlim=(None, 3.2555988021882305), ylim=(None, 3.078326760195413))
+
+
+@image_comparison(['streamplot_direction.png'],
+                  remove_text=True, style='mpl20', tol=0.073)
+def test_direction():
+    x, y, U, V = swirl_velocity_field()
+    plt.streamplot(x, y, U, V, integration_direction='backward',
+                   maxlength=1.5, start_points=[[1.5, 0.]],
+                   linewidth=2, density=2)
+
+
+@image_comparison(['streamplot_integration.png'], style='mpl20', tol=0.05)
+def test_integration_options():
+    # Linear potential flow over a lifting cylinder
+    n = 50
+    x, y = np.meshgrid(np.linspace(-2, 2, n), np.linspace(-3, 3, n))
+    th = np.arctan2(y, x)
+    r = np.sqrt(x**2 + y**2)
+    vr = -np.cos(th) / r**2
+    vt = -np.sin(th) / r**2 - 1 / r
+    vx = vr * np.cos(th) - vt * np.sin(th) + 1.0
+    vy = vr * np.sin(th) + vt * np.cos(th)
+
+    # Seed points
+    n_seed = 50
+    seed_pts = np.column_stack((np.full(n_seed, -1.75), np.linspace(-2, 2, n_seed)))
+
+    fig, axs = plt.subplots(3, 1, figsize=(6, 14))
+    th_circ = np.linspace(0, 2 * np.pi, 100)
+    for ax, max_val in zip(axs, [0.05, 1, 5]):
+        ax_ins = ax.inset_axes([0.0, 0.7, 0.3, 0.35])
+        for ax_curr, is_inset in zip([ax, ax_ins], [False, True]):
+            ax_curr.streamplot(
+                x,
+                y,
+                vx,
+                vy,
+                start_points=seed_pts,
+                broken_streamlines=False,
+                arrowsize=1e-10,
+                linewidth=2 if is_inset else 0.6,
+                color="k",
+                integration_max_step_scale=max_val,
+                integration_max_error_scale=max_val,
+            )
+
+            # Draw the cylinder
+            ax_curr.fill(
+                np.cos(th_circ),
+                np.sin(th_circ),
+                color="w",
+                ec="k",
+                lw=6 if is_inset else 2,
+            )
+
+            # Set axis properties
+            ax_curr.set_aspect("equal")
+
+        # Set axis limits and show zoomed region
+        ax_ins.set_xlim(-1.2, -0.7)
+        ax_ins.set_ylim(-0.8, -0.4)
+        ax_ins.set_yticks(())
+        ax_ins.set_xticks(())
+
+        ax.set_ylim(-1.5, 1.5)
+        ax.axis("off")
+        ax.indicate_inset_zoom(ax_ins, ec="k")
+
+    fig.tight_layout()
 
 
-@cleanup
 def test_streamplot_limits():
     ax = plt.axes()
     x = np.linspace(-5, 10, 20)
@@ -61,6 +174,69 @@ def test_streamplot_limits():
                               decimal=1)
 
 
-if __name__=='__main__':
-    import nose
-    nose.runmodule()
+def test_streamplot_grid():
+    u = np.ones((2, 2))
+    v = np.zeros((2, 2))
+
+    # Test for same rows and columns
+    x = np.array([[10, 20], [10, 30]])
+    y = np.array([[10, 10], [20, 20]])
+
+    with pytest.raises(ValueError, match="The rows of 'x' must be equal"):
+        plt.streamplot(x, y, u, v)
+
+    x = np.array([[10, 20], [10, 20]])
+    y = np.array([[10, 10], [20, 30]])
+
+    with pytest.raises(ValueError, match="The columns of 'y' must be equal"):
+        plt.streamplot(x, y, u, v)
+
+    x = np.array([[10, 20], [10, 20]])
+    y = np.array([[10, 10], [20, 20]])
+    plt.streamplot(x, y, u, v)
+
+    # Test for maximum dimensions
+    x = np.array([0, 10])
+    y = np.array([[[0, 10]]])
+
+    with pytest.raises(ValueError, match="'y' can have at maximum "
+                                         "2 dimensions"):
+        plt.streamplot(x, y, u, v)
+
+    # Test for equal spacing
+    u = np.ones((3, 3))
+    v = np.zeros((3, 3))
+    x = np.array([0, 10, 20])
+    y = np.array([0, 10, 30])
+
+    with pytest.raises(ValueError, match="'y' values must be equally spaced"):
+        plt.streamplot(x, y, u, v)
+
+    # Test for strictly increasing
+    x = np.array([0, 20, 40])
+    y = np.array([0, 20, 10])
+
+
+def test_streamplot_integration_params():
+    x = np.array([[10, 20], [10, 20]])
+    y = np.array([[10, 10], [20, 20]])
+    u = np.ones((2, 2))
+    v = np.zeros((2, 2))
+
+    err_str = "The value of integration_max_step_scale must be > 0, got -0.5"
+    with pytest.raises(ValueError, match=err_str):
+        plt.streamplot(x, y, u, v, integration_max_step_scale=-0.5)
+
+    err_str = "The value of integration_max_error_scale must be > 0, got 0.0"
+    with pytest.raises(ValueError, match=err_str):
+        plt.streamplot(x, y, u, v, integration_max_error_scale=0.0)
+
+
+def test_streamplot_inputs():  # test no exception occurs.
+    # fully-masked
+    plt.streamplot(np.arange(3), np.arange(3),
+                   np.full((3, 3), np.nan), np.full((3, 3), np.nan),
+                   color=np.random.rand(3, 3))
+    # array-likes
+    plt.streamplot(range(3), range(3),
+                   np.random.rand(3, 3), np.random.rand(3, 3))
diff --git a/lib/matplotlib/tests/test_style.py b/lib/matplotlib/tests/test_style.py
index d8e71f5cc4d2..be038965e33d 100644
--- a/lib/matplotlib/tests/test_style.py
+++ b/lib/matplotlib/tests/test_style.py
@@ -1,17 +1,15 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import os
-import shutil
-import tempfile
 from contextlib import contextmanager
+from pathlib import Path
+from tempfile import TemporaryDirectory
+import sys
+
+import numpy as np
+import pytest
 
 import matplotlib as mpl
-from matplotlib import style
+from matplotlib import pyplot as plt, style
 from matplotlib.style.core import USER_LIBRARY_PATHS, STYLE_EXTENSION
 
-import six
-
 
 PARAM = 'image.cmap'
 VALUE = 'pink'
@@ -21,26 +19,33 @@
 @contextmanager
 def temp_style(style_name, settings=None):
     """Context manager to create a style sheet in a temporary directory."""
-    settings = DUMMY_SETTINGS
-    temp_file = '%s.%s' % (style_name, STYLE_EXTENSION)
-
-    # Write style settings to file in the temp directory.
-    tempdir = tempfile.mkdtemp()
-    with open(os.path.join(tempdir, temp_file), 'w') as f:
-        for k, v in six.iteritems(settings):
-            f.write('%s: %s' % (k, v))
-
-    # Add temp directory to style path and reload so we can access this style.
-    USER_LIBRARY_PATHS.append(tempdir)
-    style.reload_library()
-
+    if not settings:
+        settings = DUMMY_SETTINGS
+    temp_file = f'{style_name}.{STYLE_EXTENSION}'
     try:
-        yield
+        with TemporaryDirectory() as tmpdir:
+            # Write style settings to file in the tmpdir.
+            Path(tmpdir, temp_file).write_text(
+                "\n".join(f"{k}: {v}" for k, v in settings.items()),
+                encoding="utf-8")
+            # Add tmpdir to style path and reload so we can access this style.
+            USER_LIBRARY_PATHS.append(tmpdir)
+            style.reload_library()
+            yield
     finally:
-        shutil.rmtree(tempdir)
         style.reload_library()
 
 
+def test_invalid_rc_warning_includes_filename(caplog):
+    SETTINGS = {'foo': 'bar'}
+    basename = 'basename'
+    with temp_style(basename, SETTINGS):
+        # style.reload_library() in temp_style() triggers the warning
+        pass
+    assert (len(caplog.records) == 1
+            and basename in caplog.records[0].getMessage())
+
+
 def test_available():
     with temp_style('_test_', DUMMY_SETTINGS):
         assert '_test_' in style.available
@@ -53,12 +58,26 @@ def test_use():
             assert mpl.rcParams[PARAM] == VALUE
 
 
-def test_use_url():
+def test_use_url(tmp_path):
+    path = tmp_path / 'file'
+    path.write_text('axes.facecolor: adeade', encoding='utf-8')
     with temp_style('test', DUMMY_SETTINGS):
-        with style.context('https://gist.github.com/adrn/6590261/raw'):
+        url = ('file:'
+               + ('///' if sys.platform == 'win32' else '')
+               + path.resolve().as_posix())
+        with style.context(url):
             assert mpl.rcParams['axes.facecolor'] == "#adeade"
 
 
+def test_single_path(tmp_path):
+    mpl.rcParams[PARAM] = 'gray'
+    path = tmp_path / f'text.{STYLE_EXTENSION}'
+    path.write_text(f'{PARAM} : {VALUE}', encoding='utf-8')
+    with style.context(path):
+        assert mpl.rcParams[PARAM] == VALUE
+    assert mpl.rcParams[PARAM] == 'gray'
+
+
 def test_context():
     mpl.rcParams[PARAM] = 'gray'
     with temp_style('test', DUMMY_SETTINGS):
@@ -68,6 +87,111 @@ def test_context():
     assert mpl.rcParams[PARAM] == 'gray'
 
 
-if __name__ == '__main__':
-    from numpy import testing
-    testing.run_module_suite()
+def test_context_with_dict():
+    original_value = 'gray'
+    other_value = 'blue'
+    mpl.rcParams[PARAM] = original_value
+    with style.context({PARAM: other_value}):
+        assert mpl.rcParams[PARAM] == other_value
+    assert mpl.rcParams[PARAM] == original_value
+
+
+def test_context_with_dict_after_namedstyle():
+    # Test dict after style name where dict modifies the same parameter.
+    original_value = 'gray'
+    other_value = 'blue'
+    mpl.rcParams[PARAM] = original_value
+    with temp_style('test', DUMMY_SETTINGS):
+        with style.context(['test', {PARAM: other_value}]):
+            assert mpl.rcParams[PARAM] == other_value
+    assert mpl.rcParams[PARAM] == original_value
+
+
+def test_context_with_dict_before_namedstyle():
+    # Test dict before style name where dict modifies the same parameter.
+    original_value = 'gray'
+    other_value = 'blue'
+    mpl.rcParams[PARAM] = original_value
+    with temp_style('test', DUMMY_SETTINGS):
+        with style.context([{PARAM: other_value}, 'test']):
+            assert mpl.rcParams[PARAM] == VALUE
+    assert mpl.rcParams[PARAM] == original_value
+
+
+def test_context_with_union_of_dict_and_namedstyle():
+    # Test dict after style name where dict modifies the a different parameter.
+    original_value = 'gray'
+    other_param = 'text.usetex'
+    other_value = True
+    d = {other_param: other_value}
+    mpl.rcParams[PARAM] = original_value
+    mpl.rcParams[other_param] = (not other_value)
+    with temp_style('test', DUMMY_SETTINGS):
+        with style.context(['test', d]):
+            assert mpl.rcParams[PARAM] == VALUE
+            assert mpl.rcParams[other_param] == other_value
+    assert mpl.rcParams[PARAM] == original_value
+    assert mpl.rcParams[other_param] == (not other_value)
+
+
+def test_context_with_badparam():
+    original_value = 'gray'
+    other_value = 'blue'
+    with style.context({PARAM: other_value}):
+        assert mpl.rcParams[PARAM] == other_value
+        x = style.context({PARAM: original_value, 'badparam': None})
+        with pytest.raises(KeyError):
+            with x:
+                pass
+        assert mpl.rcParams[PARAM] == other_value
+
+
+@pytest.mark.parametrize('equiv_styles',
+                         [('mpl20', 'default'),
+                          ('mpl15', 'classic')],
+                         ids=['mpl20', 'mpl15'])
+def test_alias(equiv_styles):
+    rc_dicts = []
+    for sty in equiv_styles:
+        with style.context(sty):
+            rc_dicts.append(mpl.rcParams.copy())
+
+    rc_base = rc_dicts[0]
+    for nm, rc in zip(equiv_styles[1:], rc_dicts[1:]):
+        assert rc_base == rc
+
+
+def test_xkcd_no_cm():
+    assert mpl.rcParams["path.sketch"] is None
+    plt.xkcd()
+    assert mpl.rcParams["path.sketch"] == (1, 100, 2)
+    np.testing.break_cycles()
+    assert mpl.rcParams["path.sketch"] == (1, 100, 2)
+
+
+def test_xkcd_cm():
+    assert mpl.rcParams["path.sketch"] is None
+    with plt.xkcd():
+        assert mpl.rcParams["path.sketch"] == (1, 100, 2)
+    assert mpl.rcParams["path.sketch"] is None
+
+
+def test_up_to_date_blacklist():
+    assert mpl.style.core.STYLE_BLACKLIST <= {*mpl.rcsetup._validators}
+
+
+def test_style_from_module(tmp_path, monkeypatch):
+    monkeypatch.syspath_prepend(tmp_path)
+    monkeypatch.chdir(tmp_path)
+    pkg_path = tmp_path / "mpl_test_style_pkg"
+    pkg_path.mkdir()
+    (pkg_path / "test_style.mplstyle").write_text(
+        "lines.linewidth: 42", encoding="utf-8")
+    pkg_path.with_suffix(".mplstyle").write_text(
+        "lines.linewidth: 84", encoding="utf-8")
+    mpl.style.use("mpl_test_style_pkg.test_style")
+    assert mpl.rcParams["lines.linewidth"] == 42
+    mpl.style.use("mpl_test_style_pkg.mplstyle")
+    assert mpl.rcParams["lines.linewidth"] == 84
+    mpl.style.use("./mpl_test_style_pkg.mplstyle")
+    assert mpl.rcParams["lines.linewidth"] == 84
diff --git a/lib/matplotlib/tests/test_subplots.py b/lib/matplotlib/tests/test_subplots.py
index 4400cbc4beb9..a899110ac77a 100644
--- a/lib/matplotlib/tests/test_subplots.py
+++ b/lib/matplotlib/tests/test_subplots.py
@@ -1,61 +1,72 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import itertools
+import platform
 
-import warnings
-import six
-from six.moves import xrange
+import numpy as np
+import pytest
 
-import numpy
+from matplotlib.axes import Axes, SubplotBase
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import image_comparison, cleanup
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
 
-from nose.tools import assert_raises
 
-
-def check_shared(results, f, axs):
+def check_shared(axs, x_shared, y_shared):
     """
-    results is a 4 x 4 x 2 matrix of boolean values where
-        if [i, j, 0] == True, X axis for subplots i and j should be shared
-        if [i, j, 1] == False, Y axis for subplots i and j should not be shared
+    x_shared and y_shared are n x n boolean matrices; entry (i, j) indicates
+    whether the x (or y) axes of subplots i and j should be shared.
     """
-    shared_str = ['x', 'y']
-    shared = [axs[0]._shared_x_axes, axs[0]._shared_y_axes]
-    #shared = {
-    #        'x': a1._shared_x_axes,
-    #        'y': a1._shared_y_axes,
-    #        }
-    tostr = lambda r: "not " if r else ""
-    for i1 in xrange(len(axs)):
-        for i2 in xrange(i1 + 1, len(axs)):
-            for i3 in xrange(len(shared)):
-                assert shared[i3].joined(axs[i1], axs[i2]) == \
-                        results[i1, i2, i3], \
-                        "axes %i and %i incorrectly %ssharing %s axis" % \
-                        (i1, i2, tostr(results[i1, i2, i3]), shared_str[i3])
-
-
-def check_visible(result, f, axs):
-    tostr = lambda v: "invisible" if v else "visible"
-    for (ax, vx, vy) in zip(axs, result['x'], result['y']):
-        for l in ax.get_xticklabels():
+    for (i1, ax1), (i2, ax2), (i3, (name, shared)) in itertools.product(
+            enumerate(axs),
+            enumerate(axs),
+            enumerate(zip("xy", [x_shared, y_shared]))):
+        if i2 <= i1:
+            continue
+        assert axs[0]._shared_axes[name].joined(ax1, ax2) == shared[i1, i2], \
+            "axes %i and %i incorrectly %ssharing %s axis" % (
+                i1, i2, "not " if shared[i1, i2] else "", name)
+
+
+def check_ticklabel_visible(axs, x_visible, y_visible):
+    """Check that the x and y ticklabel visibility is as specified."""
+    for i, (ax, vx, vy) in enumerate(zip(axs, x_visible, y_visible)):
+        for l in ax.get_xticklabels() + [ax.xaxis.offsetText]:
             assert l.get_visible() == vx, \
-                    "X axis was incorrectly %s" % (tostr(vx))
-        for l in ax.get_yticklabels():
+                    f"Visibility of x axis #{i} is incorrectly {vx}"
+        for l in ax.get_yticklabels() + [ax.yaxis.offsetText]:
             assert l.get_visible() == vy, \
-                    "Y axis was incorrectly %s" % (tostr(vy))
+                    f"Visibility of y axis #{i} is incorrectly {vy}"
+        # axis label "visibility" is toggled by label_outer by resetting the
+        # label to empty, but it can also be empty to start with.
+        if not vx:
+            assert ax.get_xlabel() == ""
+        if not vy:
+            assert ax.get_ylabel() == ""
+
+
+def check_tick1_visible(axs, x_visible, y_visible):
+    """
+    Check that the x and y tick visibility is as specified.
+
+    Note: This only checks the tick1line, i.e. bottom / left ticks.
+    """
+    for ax, visible, in zip(axs, x_visible):
+        for tick in ax.xaxis.get_major_ticks():
+            assert tick.tick1line.get_visible() == visible
+    for ax, y_visible, in zip(axs, y_visible):
+        for tick in ax.yaxis.get_major_ticks():
+            assert tick.tick1line.get_visible() == visible
 
 
 def test_shared():
     rdim = (4, 4, 2)
     share = {
-            'all': numpy.ones(rdim[:2], dtype=bool),
-            'none': numpy.zeros(rdim[:2], dtype=bool),
-            'row': numpy.array([
+            'all': np.ones(rdim[:2], dtype=bool),
+            'none': np.zeros(rdim[:2], dtype=bool),
+            'row': np.array([
                 [False, True, False, False],
                 [True, False, False, False],
                 [False, False, False, True],
                 [False, False, True, False]]),
-            'col': numpy.array([
+            'col': np.array([
                 [False, False, True, False],
                 [False, False, False, True],
                 [True, False, False, False],
@@ -85,60 +96,192 @@ def test_shared():
     # test default
     f, ((a1, a2), (a3, a4)) = plt.subplots(2, 2)
     axs = [a1, a2, a3, a4]
-    check_shared(numpy.dstack((share['none'], share['none'])), \
-            f, axs)
+    check_shared(axs, share['none'], share['none'])
     plt.close(f)
 
     # test all option combinations
-    ops = [False, True, 'all', 'none', 'row', 'col']
+    ops = [False, True, 'all', 'none', 'row', 'col', 0, 1]
     for xo in ops:
         for yo in ops:
             f, ((a1, a2), (a3, a4)) = plt.subplots(2, 2, sharex=xo, sharey=yo)
             axs = [a1, a2, a3, a4]
-            check_shared(numpy.dstack((share[xo], share[yo])), \
-                    f, axs)
-            check_visible(dict(x=visible['x'][xo], y=visible['y'][yo]), \
-                    f, axs)
+            check_shared(axs, share[xo], share[yo])
+            check_ticklabel_visible(axs, visible['x'][xo], visible['y'][yo])
             plt.close(f)
 
 
+@pytest.mark.parametrize('remove_ticks', [True, False])
+def test_label_outer(remove_ticks):
+    f, axs = plt.subplots(2, 2, sharex=True, sharey=True)
+    for ax in axs.flat:
+        ax.set(xlabel="foo", ylabel="bar")
+        ax.label_outer(remove_inner_ticks=remove_ticks)
+    check_ticklabel_visible(
+        axs.flat, [False, False, True, True], [True, False, True, False])
+    if remove_ticks:
+        check_tick1_visible(
+            axs.flat, [False, False, True, True], [True, False, True, False])
+    else:
+        check_tick1_visible(
+            axs.flat, [True, True, True, True], [True, True, True, True])
+
+
+def test_label_outer_span():
+    fig = plt.figure()
+    gs = fig.add_gridspec(3, 3)
+    # +---+---+---+
+    # |   1   |   |
+    # +---+---+---+
+    # |   |   | 3 |
+    # + 2 +---+---+
+    # |   | 4 |   |
+    # +---+---+---+
+    a1 = fig.add_subplot(gs[0, 0:2])
+    a2 = fig.add_subplot(gs[1:3, 0])
+    a3 = fig.add_subplot(gs[1, 2])
+    a4 = fig.add_subplot(gs[2, 1])
+    for ax in fig.axes:
+        ax.label_outer()
+    check_ticklabel_visible(
+        fig.axes, [False, True, False, True], [True, True, False, False])
+
+
+def test_label_outer_non_gridspec():
+    ax = plt.axes((0, 0, 1, 1))
+    ax.label_outer()  # Does nothing.
+    check_ticklabel_visible([ax], [True], [True])
+
+
+def test_shared_and_moved():
+    # test if sharey is on, but then tick_left is called that labels don't
+    # re-appear.  Seaborn does this just to be sure yaxis is on left...
+    f, (a1, a2) = plt.subplots(1, 2, sharey=True)
+    check_ticklabel_visible([a2], [True], [False])
+    a2.yaxis.tick_left()
+    check_ticklabel_visible([a2], [True], [False])
+
+    f, (a1, a2) = plt.subplots(2, 1, sharex=True)
+    check_ticklabel_visible([a1], [False], [True])
+    a2.xaxis.tick_bottom()
+    check_ticklabel_visible([a1], [False], [True])
+
+
 def test_exceptions():
     # TODO should this test more options?
-    assert_raises(ValueError, plt.subplots, 2, 2, sharex='blah')
-    assert_raises(ValueError, plt.subplots, 2, 2, sharey='blah')
-    # We filter warnings in this test which are genuine since
-    # the pount of this test is to ensure that this raises.
-    with warnings.catch_warnings():
-        warnings.filterwarnings('ignore',
-                                message='.*sharex\ argument\ to\ subplots',
-                                category=UserWarning)
-        assert_raises(ValueError, plt.subplots, 2, 2, -1)
-        # uncomment this for 1.5
-        # assert_raises(ValueError, plt.subplots, 2, 2, 0)
-        assert_raises(ValueError, plt.subplots, 2, 2, 5)
-
-
-@image_comparison(baseline_images=['subplots_offset_text'], remove_text=False)
+    with pytest.raises(ValueError):
+        plt.subplots(2, 2, sharex='blah')
+    with pytest.raises(ValueError):
+        plt.subplots(2, 2, sharey='blah')
+
+
+@image_comparison(['subplots_offset_text.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.028)
 def test_subplots_offsettext():
-    x = numpy.arange(0, 1e10, 1e9)
-    y = numpy.arange(0, 100, 10)+1e4
-    fig, axes = plt.subplots(2, 2, sharex='col', sharey='all')
-    axes[0, 0].plot(x, x)
-    axes[1, 0].plot(x, x)
-    axes[0, 1].plot(y, x)
-    axes[1, 1].plot(y, x)
-
-
-@cleanup
-def test_subplots():
-    # things to test
-    # - are axes actually shared?
-    # - are tickmarks correctly hidden?
-    test_shared()
-    # - are exceptions thrown correctly
-    test_exceptions()
-
-
-if __name__ == "__main__":
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    x = np.arange(0, 1e10, 1e9)
+    y = np.arange(0, 100, 10)+1e4
+    fig, axs = plt.subplots(2, 2, sharex='col', sharey='all')
+    axs[0, 0].plot(x, x)
+    axs[1, 0].plot(x, x)
+    axs[0, 1].plot(y, x)
+    axs[1, 1].plot(y, x)
+
+
+@pytest.mark.parametrize("top", [True, False])
+@pytest.mark.parametrize("bottom", [True, False])
+@pytest.mark.parametrize("left", [True, False])
+@pytest.mark.parametrize("right", [True, False])
+def test_subplots_hide_ticklabels(top, bottom, left, right):
+    # Ideally, we would also test offset-text visibility (and remove
+    # test_subplots_offsettext), but currently, setting rcParams fails to move
+    # the offset texts as well.
+    with plt.rc_context({"xtick.labeltop": top, "xtick.labelbottom": bottom,
+                         "ytick.labelleft": left, "ytick.labelright": right}):
+        axs = plt.figure().subplots(3, 3, sharex=True, sharey=True)
+    for (i, j), ax in np.ndenumerate(axs):
+        xtop = ax.xaxis._major_tick_kw["label2On"]
+        xbottom = ax.xaxis._major_tick_kw["label1On"]
+        yleft = ax.yaxis._major_tick_kw["label1On"]
+        yright = ax.yaxis._major_tick_kw["label2On"]
+        assert xtop == (top and i == 0)
+        assert xbottom == (bottom and i == 2)
+        assert yleft == (left and j == 0)
+        assert yright == (right and j == 2)
+
+
+@pytest.mark.parametrize("xlabel_position", ["bottom", "top"])
+@pytest.mark.parametrize("ylabel_position", ["left", "right"])
+def test_subplots_hide_axislabels(xlabel_position, ylabel_position):
+    axs = plt.figure().subplots(3, 3, sharex=True, sharey=True)
+    for (i, j), ax in np.ndenumerate(axs):
+        ax.set(xlabel="foo", ylabel="bar")
+        ax.xaxis.set_label_position(xlabel_position)
+        ax.yaxis.set_label_position(ylabel_position)
+        ax.label_outer()
+        assert bool(ax.get_xlabel()) == (
+            xlabel_position == "bottom" and i == 2
+            or xlabel_position == "top" and i == 0)
+        assert bool(ax.get_ylabel()) == (
+            ylabel_position == "left" and j == 0
+            or ylabel_position == "right" and j == 2)
+
+
+def test_get_gridspec():
+    # ahem, pretty trivial, but...
+    fig, ax = plt.subplots()
+    assert ax.get_subplotspec().get_gridspec() == ax.get_gridspec()
+
+
+def test_dont_mutate_kwargs():
+    subplot_kw = {'sharex': 'all'}
+    gridspec_kw = {'width_ratios': [1, 2]}
+    fig, ax = plt.subplots(1, 2, subplot_kw=subplot_kw,
+                           gridspec_kw=gridspec_kw)
+    assert subplot_kw == {'sharex': 'all'}
+    assert gridspec_kw == {'width_ratios': [1, 2]}
+
+
+@pytest.mark.parametrize("width_ratios", [None, [1, 3, 2]])
+@pytest.mark.parametrize("height_ratios", [None, [1, 2]])
+@check_figures_equal()
+def test_width_and_height_ratios(fig_test, fig_ref,
+                                 height_ratios, width_ratios):
+    fig_test.subplots(2, 3, height_ratios=height_ratios,
+                      width_ratios=width_ratios)
+    fig_ref.subplots(2, 3, gridspec_kw={
+                     'height_ratios': height_ratios,
+                     'width_ratios': width_ratios})
+
+
+@pytest.mark.parametrize("width_ratios", [None, [1, 3, 2]])
+@pytest.mark.parametrize("height_ratios", [None, [1, 2]])
+@check_figures_equal()
+def test_width_and_height_ratios_mosaic(fig_test, fig_ref,
+                                        height_ratios, width_ratios):
+    mosaic_spec = [['A', 'B', 'B'], ['A', 'C', 'D']]
+    fig_test.subplot_mosaic(mosaic_spec, height_ratios=height_ratios,
+                            width_ratios=width_ratios)
+    fig_ref.subplot_mosaic(mosaic_spec, gridspec_kw={
+                           'height_ratios': height_ratios,
+                           'width_ratios': width_ratios})
+
+
+@pytest.mark.parametrize('method,args', [
+    ('subplots', (2, 3)),
+    ('subplot_mosaic', ('abc;def', ))
+    ]
+)
+def test_ratio_overlapping_kws(method, args):
+    with pytest.raises(ValueError, match='height_ratios'):
+        getattr(plt, method)(*args, height_ratios=[1, 2],
+                             gridspec_kw={'height_ratios': [1, 2]})
+    with pytest.raises(ValueError, match='width_ratios'):
+        getattr(plt, method)(*args, width_ratios=[1, 2, 3],
+                             gridspec_kw={'width_ratios': [1, 2, 3]})
+
+
+def test_old_subplot_compat():
+    fig = plt.figure()
+    assert isinstance(fig.add_subplot(), SubplotBase)
+    assert not isinstance(fig.add_axes(rect=[0, 0, 1, 1]), SubplotBase)
+    with pytest.raises(TypeError):
+        Axes(fig, [0, 0, 1, 1], rect=[0, 0, 1, 1])
diff --git a/lib/matplotlib/tests/test_table.py b/lib/matplotlib/tests/test_table.py
index 817e05170b0e..43b8702737a6 100644
--- a/lib/matplotlib/tests/test_table.py
+++ b/lib/matplotlib/tests/test_table.py
@@ -1,16 +1,23 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import datetime
+from unittest.mock import Mock
 
-import six
+import numpy as np
 
 import matplotlib.pyplot as plt
-import numpy as np
-from matplotlib.testing.decorators import image_comparison
+from matplotlib.path import Path
+from matplotlib.table import CustomCell, Table
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from matplotlib.transforms import Bbox
+import matplotlib.units as munits
+
 
+def test_non_square():
+    # Check that creating a non-square table works
+    cellcolors = ['b', 'r']
+    plt.table(cellColours=cellcolors)
 
-@image_comparison(baseline_images=['table_zorder'],
-                  extensions=['png'],
-                  remove_text=True)
+
+@image_comparison(['table_zorder.png'], remove_text=True)
 def test_zorder():
     data = [[66386, 174296],
             [58230, 381139]]
@@ -19,7 +26,7 @@ def test_zorder():
     rowLabels = ['%d year' % x for x in (100, 50)]
 
     cellText = []
-    yoff = np.array([0.0] * len(colLabels))
+    yoff = np.zeros(len(colLabels))
     for row in reversed(data):
         yoff += row
         cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
@@ -43,13 +50,12 @@ def test_zorder():
     plt.yticks([])
 
 
-@image_comparison(baseline_images=['table_labels'],
-                  extensions=['png'])
+@image_comparison(['table_labels.png'])
 def test_label_colours():
     dim = 3
 
     c = np.linspace(0, 1, dim)
-    colours = plt.cm.RdYlGn(c)
+    colours = plt.colormaps["RdYlGn"](c)
     cellText = [['1'] * dim] * dim
 
     fig = plt.figure()
@@ -79,3 +85,199 @@ def test_label_colours():
               colColours=colours,
               colLabels=['Header'] * dim,
               loc='best')
+
+
+@image_comparison(['table_cell_manipulation.png'], style='mpl20')
+def test_diff_cell_table(text_placeholders):
+    cells = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
+    cellText = [['1'] * len(cells)] * 2
+    colWidths = [0.1] * len(cells)
+
+    _, axs = plt.subplots(nrows=len(cells), figsize=(4, len(cells)+1), layout='tight')
+    for ax, cell in zip(axs, cells):
+        ax.table(
+                colWidths=colWidths,
+                cellText=cellText,
+                loc='center',
+                edges=cell,
+                )
+        ax.axis('off')
+
+
+def test_customcell():
+    types = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
+    codes = (
+        (Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
+        (Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO),
+        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
+        (Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY),
+        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
+        (Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO),
+        (Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
+        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO),
+        )
+
+    for t, c in zip(types, codes):
+        cell = CustomCell((0, 0), visible_edges=t, width=1, height=1)
+        code = tuple(s for _, s in cell.get_path().iter_segments())
+        assert c == code
+
+
+@image_comparison(['table_auto_column.png'])
+def test_auto_column():
+    fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 1)
+
+    # iterable list input
+    ax1.axis('off')
+    tb1 = ax1.table(
+        cellText=[['Fit Text', 2],
+                  ['very long long text, Longer text than default', 1]],
+        rowLabels=["A", "B"],
+        colLabels=["Col1", "Col2"],
+        loc="center")
+    tb1.auto_set_font_size(False)
+    tb1.set_fontsize(12)
+    tb1.auto_set_column_width([-1, 0, 1])
+
+    # iterable tuple input
+    ax2.axis('off')
+    tb2 = ax2.table(
+        cellText=[['Fit Text', 2],
+                  ['very long long text, Longer text than default', 1]],
+        rowLabels=["A", "B"],
+        colLabels=["Col1", "Col2"],
+        loc="center")
+    tb2.auto_set_font_size(False)
+    tb2.set_fontsize(12)
+    tb2.auto_set_column_width((-1, 0, 1))
+
+    # 3 single inputs
+    ax3.axis('off')
+    tb3 = ax3.table(
+        cellText=[['Fit Text', 2],
+                  ['very long long text, Longer text than default', 1]],
+        rowLabels=["A", "B"],
+        colLabels=["Col1", "Col2"],
+        loc="center")
+    tb3.auto_set_font_size(False)
+    tb3.set_fontsize(12)
+    tb3.auto_set_column_width(-1)
+    tb3.auto_set_column_width(0)
+    tb3.auto_set_column_width(1)
+
+    # 4 this used to test non-integer iterable input, which did nothing, but only
+    # remains to avoid re-generating the test image.
+    ax4.axis('off')
+    tb4 = ax4.table(
+        cellText=[['Fit Text', 2],
+                  ['very long long text, Longer text than default', 1]],
+        rowLabels=["A", "B"],
+        colLabels=["Col1", "Col2"],
+        loc="center")
+    tb4.auto_set_font_size(False)
+    tb4.set_fontsize(12)
+
+
+def test_table_cells():
+    fig, ax = plt.subplots()
+    table = Table(ax)
+
+    cell = table.add_cell(1, 2, 1, 1)
+    assert isinstance(cell, CustomCell)
+    assert cell is table[1, 2]
+
+    cell2 = CustomCell((0, 0), 1, 2, visible_edges=None)
+    table[2, 1] = cell2
+    assert table[2, 1] is cell2
+
+    # make sure getitem support has not broken
+    # properties and setp
+    table.properties()
+    plt.setp(table)
+
+
+@check_figures_equal()
+def test_table_bbox(fig_test, fig_ref):
+    data = [[2, 3],
+            [4, 5]]
+
+    col_labels = ('Foo', 'Bar')
+    row_labels = ('Ada', 'Bob')
+
+    cell_text = [[f"{x}" for x in row] for row in data]
+
+    ax_list = fig_test.subplots()
+    ax_list.table(cellText=cell_text,
+                  rowLabels=row_labels,
+                  colLabels=col_labels,
+                  loc='center',
+                  bbox=[0.1, 0.2, 0.8, 0.6]
+                  )
+
+    ax_bbox = fig_ref.subplots()
+    ax_bbox.table(cellText=cell_text,
+                  rowLabels=row_labels,
+                  colLabels=col_labels,
+                  loc='center',
+                  bbox=Bbox.from_extents(0.1, 0.2, 0.9, 0.8)
+                  )
+
+
+@check_figures_equal()
+def test_table_unit(fig_test, fig_ref):
+    # test that table doesn't participate in unit machinery, instead uses repr/str
+
+    class FakeUnit:
+        def __init__(self, thing):
+            pass
+        def __repr__(self):
+            return "Hello"
+
+    fake_convertor = munits.ConversionInterface()
+    # v, u, a = value, unit, axis
+    fake_convertor.convert = Mock(side_effect=lambda v, u, a: 0)
+    # not used, here for completeness
+    fake_convertor.default_units = Mock(side_effect=lambda v, a: None)
+    fake_convertor.axisinfo = Mock(side_effect=lambda u, a: munits.AxisInfo())
+
+    munits.registry[FakeUnit] = fake_convertor
+
+    data = [[FakeUnit("yellow"), FakeUnit(42)],
+            [FakeUnit(datetime.datetime(1968, 8, 1)), FakeUnit(True)]]
+
+    fig_test.subplots().table(data)
+    fig_ref.subplots().table([["Hello", "Hello"], ["Hello", "Hello"]])
+    fig_test.canvas.draw()
+    fake_convertor.convert.assert_not_called()
+
+    munits.registry.pop(FakeUnit)
+    assert not munits.registry.get_converter(FakeUnit)
+
+
+def test_table_dataframe(pd):
+    # Test if Pandas Data Frame can be passed in cellText
+
+    data = {
+        'Letter': ['A', 'B', 'C'],
+        'Number': [100, 200, 300]
+    }
+
+    df = pd.DataFrame(data)
+    fig, ax = plt.subplots()
+    table = ax.table(df, loc='center')
+
+    for r, (index, row) in enumerate(df.iterrows()):
+        for c, col in enumerate(df.columns if r == 0 else row.values):
+            assert table[r if r == 0 else r+1, c].get_text().get_text() == str(col)
+
+
+def test_table_fontsize():
+    # Test that the passed fontsize propagates to cells
+    tableData = [['a', 1], ['b', 2]]
+    fig, ax = plt.subplots()
+    test_fontsize = 20
+    t = ax.table(cellText=tableData, loc='top', fontsize=test_fontsize)
+    cell_fontsize = t[(0, 0)].get_fontsize()
+    assert cell_fontsize == test_fontsize, f"Actual:{test_fontsize},got:{cell_fontsize}"
+    cell_fontsize = t[(1, 1)].get_fontsize()
+    assert cell_fontsize == test_fontsize, f"Actual:{test_fontsize},got:{cell_fontsize}"
diff --git a/lib/matplotlib/tests/test_testing.py b/lib/matplotlib/tests/test_testing.py
new file mode 100644
index 000000000000..c438c54d26fa
--- /dev/null
+++ b/lib/matplotlib/tests/test_testing.py
@@ -0,0 +1,41 @@
+import warnings
+
+import pytest
+
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import check_figures_equal
+
+
+@pytest.mark.xfail(
+    strict=True, reason="testing that warnings fail tests"
+)
+def test_warn_to_fail():
+    warnings.warn("This should fail the test")
+
+
+@pytest.mark.parametrize("a", [1])
+@check_figures_equal()
+@pytest.mark.parametrize("b", [1])
+def test_parametrize_with_check_figure_equal(a, fig_ref, b, fig_test):
+    assert a == b
+
+
+def test_wrap_failure():
+    with pytest.raises(ValueError, match="^The decorated function"):
+        @check_figures_equal()
+        def should_fail(test, ref):
+            pass
+
+
+@pytest.mark.xfail(raises=RuntimeError, strict=True,
+                   reason='Test for check_figures_equal test creating '
+                          'new figures')
+@check_figures_equal()
+def test_check_figures_equal_extra_fig(fig_test, fig_ref):
+    plt.figure()
+
+
+@check_figures_equal()
+def test_check_figures_equal_closed_fig(fig_test, fig_ref):
+    fig = plt.figure()
+    plt.close(fig)
diff --git a/lib/matplotlib/tests/test_texmanager.py b/lib/matplotlib/tests/test_texmanager.py
new file mode 100644
index 000000000000..64dcbf46456d
--- /dev/null
+++ b/lib/matplotlib/tests/test_texmanager.py
@@ -0,0 +1,75 @@
+import os
+from pathlib import Path
+import re
+import sys
+
+import pytest
+
+import matplotlib.pyplot as plt
+from matplotlib.testing import subprocess_run_for_testing
+from matplotlib.testing._markers import needs_usetex
+from matplotlib.texmanager import TexManager
+
+
+def test_fontconfig_preamble():
+    """Test that the preamble is included in the source."""
+    plt.rcParams['text.usetex'] = True
+
+    src1 = TexManager()._get_tex_source("", fontsize=12)
+    plt.rcParams['text.latex.preamble'] = '\\usepackage{txfonts}'
+    src2 = TexManager()._get_tex_source("", fontsize=12)
+
+    assert src1 != src2
+
+
+@pytest.mark.parametrize(
+    "rc, preamble, family", [
+        ({"font.family": "sans-serif", "font.sans-serif": "helvetica"},
+         r"\usepackage{helvet}", r"\sffamily"),
+        ({"font.family": "serif", "font.serif": "palatino"},
+         r"\usepackage{mathpazo}", r"\rmfamily"),
+        ({"font.family": "cursive", "font.cursive": "zapf chancery"},
+         r"\usepackage{chancery}", r"\rmfamily"),
+        ({"font.family": "monospace", "font.monospace": "courier"},
+         r"\usepackage{courier}", r"\ttfamily"),
+        ({"font.family": "helvetica"}, r"\usepackage{helvet}", r"\sffamily"),
+        ({"font.family": "palatino"}, r"\usepackage{mathpazo}", r"\rmfamily"),
+        ({"font.family": "zapf chancery"},
+         r"\usepackage{chancery}", r"\rmfamily"),
+        ({"font.family": "courier"}, r"\usepackage{courier}", r"\ttfamily")
+    ])
+def test_font_selection(rc, preamble, family):
+    plt.rcParams.update(rc)
+    tm = TexManager()
+    src = Path(tm.make_tex("hello, world", fontsize=12)).read_text()
+    assert preamble in src
+    assert [*re.findall(r"\\\w+family", src)] == [family]
+
+
+@needs_usetex
+def test_unicode_characters():
+    # Smoke test to see that Unicode characters does not cause issues
+    # See #23019
+    plt.rcParams['text.usetex'] = True
+    fig, ax = plt.subplots()
+    ax.set_ylabel('\\textit{Velocity (\N{DEGREE SIGN}/sec)}')
+    ax.set_xlabel('\N{VULGAR FRACTION ONE QUARTER}Öøæ')
+    fig.canvas.draw()
+
+    # But not all characters.
+    # Should raise RuntimeError, not UnicodeDecodeError
+    with pytest.raises(RuntimeError):
+        ax.set_title('\N{SNOWMAN}')
+        fig.canvas.draw()
+
+
+@needs_usetex
+def test_openin_any_paranoid():
+    completed = subprocess_run_for_testing(
+        [sys.executable, "-c",
+         'import matplotlib.pyplot as plt;'
+         'plt.rcParams.update({"text.usetex": True});'
+         'plt.title("paranoid");'
+         'plt.show(block=False);'],
+        env={**os.environ, 'openin_any': 'p'}, check=True, capture_output=True)
+    assert completed.stderr == ""
diff --git a/lib/matplotlib/tests/test_text.py b/lib/matplotlib/tests/test_text.py
index d4b37bee64ac..407d7a96be4d 100644
--- a/lib/matplotlib/tests/test_text.py
+++ b/lib/matplotlib/tests/test_text.py
@@ -1,102 +1,134 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+from datetime import datetime
+import io
+import warnings
 
 import numpy as np
 from numpy.testing import assert_almost_equal
-import matplotlib
-from matplotlib.testing.decorators import image_comparison, knownfailureif, cleanup
+from packaging.version import parse as parse_version
+import pyparsing
+import pytest
+
+import matplotlib as mpl
+from matplotlib.backend_bases import MouseEvent
+from matplotlib.backends.backend_agg import RendererAgg
+from matplotlib.figure import Figure
+from matplotlib.font_manager import FontProperties
+import matplotlib.patches as mpatches
 import matplotlib.pyplot as plt
-import warnings
-from nose import SkipTest
-from nose.tools import with_setup, assert_raises
+from matplotlib.gridspec import GridSpec
+import matplotlib.transforms as mtransforms
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing._markers import needs_usetex
+from matplotlib.text import Text, Annotation, OffsetFrom
+
+pyparsing_version = parse_version(pyparsing.__version__)
 
 
-@image_comparison(baseline_images=['font_styles'])
+@image_comparison(['font_styles'])
 def test_font_styles():
-    from matplotlib import _get_data_path
-    data_path = _get_data_path()
 
     def find_matplotlib_font(**kw):
         prop = FontProperties(**kw)
-        path = findfont(prop, directory=data_path)
+        path = findfont(prop, directory=mpl.get_data_path())
         return FontProperties(fname=path)
 
     from matplotlib.font_manager import FontProperties, findfont
-    warnings.filterwarnings('ignore', ('findfont: Font family \[u?\'Foo\'\] '+
-                            'not found. Falling back to .'),
-                            UserWarning,
-                            module='matplotlib.font_manager')
-    fig = plt.figure()
-    ax = plt.subplot(1, 1, 1)
+    warnings.filterwarnings(
+        'ignore',
+        r"findfont: Font family \[u?'Foo'\] not found. Falling back to .",
+        UserWarning,
+        module='matplotlib.font_manager')
+
+    fig, ax = plt.subplots()
 
-    normalFont = find_matplotlib_font(family="sans-serif",
-                                       style="normal",
-                                       variant="normal",
-                                       size=14,
-                                      )
-    ax.annotate("Normal Font", (0.1, 0.1), xycoords='axes fraction',
-                  fontproperties=normalFont)
-
-    boldFont = find_matplotlib_font(family="Foo",
-                                     style="normal",
-                                     variant="normal",
-                                     weight="bold",
-                                     stretch=500,
-                                     size=14,
-                                     )
-    ax.annotate("Bold Font", (0.1, 0.2), xycoords='axes fraction',
-                  fontproperties=boldFont)
-
-    boldItemFont = find_matplotlib_font(family="sans serif",
-                                         style="italic",
-                                         variant="normal",
-                                         weight=750,
-                                         stretch=500,
-                                         size=14,
-                                         )
-    ax.annotate("Bold Italic Font", (0.1, 0.3), xycoords='axes fraction',
-                  fontproperties=boldItemFont)
-
-    lightFont = find_matplotlib_font(family="sans-serif",
-                                      style="normal",
-                                      variant="normal",
-                                      weight=200,
-                                      stretch=500,
-                                      size=14,
-                                      )
-    ax.annotate("Light Font", (0.1, 0.4), xycoords='axes fraction',
-                  fontproperties=lightFont)
-
-    condensedFont = find_matplotlib_font(family="sans-serif",
-                                          style="normal",
-                                          variant="normal",
-                                          weight=500,
-                                          stretch=100,
-                                          size=14,
-                                          )
-    ax.annotate("Condensed Font", (0.1, 0.5), xycoords='axes fraction',
-                  fontproperties=condensedFont)
+    normal_font = find_matplotlib_font(
+        family="sans-serif",
+        style="normal",
+        variant="normal",
+        size=14)
+    a = ax.annotate(
+        "Normal Font",
+        (0.1, 0.1),
+        xycoords='axes fraction',
+        fontproperties=normal_font)
+    assert a.get_fontname() == 'DejaVu Sans'
+    assert a.get_fontstyle() == 'normal'
+    assert a.get_fontvariant() == 'normal'
+    assert a.get_weight() == 'normal'
+    assert a.get_stretch() == 'normal'
+
+    bold_font = find_matplotlib_font(
+        family="Foo",
+        style="normal",
+        variant="normal",
+        weight="bold",
+        stretch=500,
+        size=14)
+    ax.annotate(
+        "Bold Font",
+        (0.1, 0.2),
+        xycoords='axes fraction',
+        fontproperties=bold_font)
+
+    bold_italic_font = find_matplotlib_font(
+        family="sans serif",
+        style="italic",
+        variant="normal",
+        weight=750,
+        stretch=500,
+        size=14)
+    ax.annotate(
+        "Bold Italic Font",
+        (0.1, 0.3),
+        xycoords='axes fraction',
+        fontproperties=bold_italic_font)
+
+    light_font = find_matplotlib_font(
+        family="sans-serif",
+        style="normal",
+        variant="normal",
+        weight=200,
+        stretch=500,
+        size=14)
+    ax.annotate(
+        "Light Font",
+        (0.1, 0.4),
+        xycoords='axes fraction',
+        fontproperties=light_font)
+
+    condensed_font = find_matplotlib_font(
+        family="sans-serif",
+        style="normal",
+        variant="normal",
+        weight=500,
+        stretch=100,
+        size=14)
+    ax.annotate(
+        "Condensed Font",
+        (0.1, 0.5),
+        xycoords='axes fraction',
+        fontproperties=condensed_font)
 
     ax.set_xticks([])
     ax.set_yticks([])
 
 
-@image_comparison(baseline_images=['multiline'])
+@image_comparison(['multiline'])
 def test_multiline():
-    fig = plt.figure()
+    plt.figure()
     ax = plt.subplot(1, 1, 1)
     ax.set_title("multiline\ntext alignment")
 
-    plt.text(0.2, 0.5, "TpTpTp\n$M$\nTpTpTp", size=20,
-             ha="center", va="top")
+    plt.text(
+        0.2, 0.5, "TpTpTp\n$M$\nTpTpTp", size=20, ha="center", va="top")
 
-    plt.text(0.5, 0.5, "TpTpTp\n$M^{M^{M^{M}}}$\nTpTpTp", size=20,
-             ha="center", va="top")
+    plt.text(
+        0.5, 0.5, "TpTpTp\n$M^{M^{M^{M}}}$\nTpTpTp", size=20,
+        ha="center", va="top")
 
-    plt.text(0.8, 0.5, "TpTpTp\n$M_{q_{q_{q}}}$\nTpTpTp", size=20,
-             ha="center", va="top")
+    plt.text(
+        0.8, 0.5, "TpTpTp\n$M_{q_{q_{q}}}$\nTpTpTp", size=20,
+        ha="center", va="top")
 
     plt.xlim(0, 1)
     plt.ylim(0, 0.8)
@@ -105,59 +137,100 @@ def test_multiline():
     ax.set_yticks([])
 
 
-@image_comparison(baseline_images=['antialiased'], extensions=['png'])
+@image_comparison(['multiline2'], style='mpl20')
+def test_multiline2():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, ax = plt.subplots()
+
+    ax.set_xlim([0, 1.4])
+    ax.set_ylim([0, 2])
+    ax.axhline(0.5, color='C2', linewidth=0.3)
+    sts = ['Line', '2 Lineg\n 2 Lg', '$\\sum_i x $', 'hi $\\sum_i x $\ntest',
+           'test\n $\\sum_i x $', '$\\sum_i x $\n $\\sum_i x $']
+    renderer = fig.canvas.get_renderer()
+
+    def draw_box(ax, tt):
+        r = mpatches.Rectangle((0, 0), 1, 1, clip_on=False,
+                               transform=ax.transAxes)
+        r.set_bounds(
+            tt.get_window_extent(renderer)
+            .transformed(ax.transAxes.inverted())
+            .bounds)
+        ax.add_patch(r)
+
+    horal = 'left'
+    for nn, st in enumerate(sts):
+        tt = ax.text(0.2 * nn + 0.1, 0.5, st, horizontalalignment=horal,
+                     verticalalignment='bottom')
+        draw_box(ax, tt)
+    ax.text(1.2, 0.5, 'Bottom align', color='C2')
+
+    ax.axhline(1.3, color='C2', linewidth=0.3)
+    for nn, st in enumerate(sts):
+        tt = ax.text(0.2 * nn + 0.1, 1.3, st, horizontalalignment=horal,
+                     verticalalignment='top')
+        draw_box(ax, tt)
+    ax.text(1.2, 1.3, 'Top align', color='C2')
+
+    ax.axhline(1.8, color='C2', linewidth=0.3)
+    for nn, st in enumerate(sts):
+        tt = ax.text(0.2 * nn + 0.1, 1.8, st, horizontalalignment=horal,
+                     verticalalignment='baseline')
+        draw_box(ax, tt)
+    ax.text(1.2, 1.8, 'Baseline align', color='C2')
+
+    ax.axhline(0.1, color='C2', linewidth=0.3)
+    for nn, st in enumerate(sts):
+        tt = ax.text(0.2 * nn + 0.1, 0.1, st, horizontalalignment=horal,
+                     verticalalignment='bottom', rotation=20)
+        draw_box(ax, tt)
+    ax.text(1.2, 0.1, 'Bot align, rot20', color='C2')
+
+
+@image_comparison(['antialiased.png'], style='mpl20')
 def test_antialiasing():
-    matplotlib.rcParams['text.antialiased'] = True
+    mpl.rcParams['text.antialiased'] = False  # Passed arguments should override.
 
     fig = plt.figure(figsize=(5.25, 0.75))
-    fig.text(0.5, 0.75, "antialiased", horizontalalignment='center',
-             verticalalignment='center')
-    fig.text(0.5, 0.25, "$\sqrt{x}$", horizontalalignment='center',
-             verticalalignment='center')
-    # NOTE: We don't need to restore the rcParams here, because the
-    # test cleanup will do it for us.  In fact, if we do it here, it
-    # will turn antialiasing back off before the images are actually
-    # rendered.
-
+    fig.text(0.3, 0.75, "antialiased", horizontalalignment='center',
+             verticalalignment='center', antialiased=True)
+    fig.text(0.3, 0.25, r"$\sqrt{x}$", horizontalalignment='center',
+             verticalalignment='center', antialiased=True)
 
-def test_afm_kerning():
-    from matplotlib.afm import AFM
-    from matplotlib.font_manager import findfont
+    mpl.rcParams['text.antialiased'] = True  # Passed arguments should override.
+    fig.text(0.7, 0.75, "not antialiased", horizontalalignment='center',
+             verticalalignment='center', antialiased=False)
+    fig.text(0.7, 0.25, r"$\sqrt{x}$", horizontalalignment='center',
+             verticalalignment='center', antialiased=False)
 
-    fn = findfont("Helvetica", fontext="afm")
-    with open(fn, 'rb') as fh:
-        afm = AFM(fh)
-    assert afm.string_width_height('VAVAVAVAVAVA') == (7174.0, 718)
+    mpl.rcParams['text.antialiased'] = False  # Should not affect existing text.
 
 
-@image_comparison(baseline_images=['text_contains'], extensions=['png'])
+@image_comparison(['text_contains.png'])
 def test_contains():
-    import matplotlib.backend_bases as mbackend
-
     fig = plt.figure()
     ax = plt.axes()
 
-    mevent = mbackend.MouseEvent('button_press_event', fig.canvas, 0.5,
-                                 0.5, 1, None)
+    mevent = MouseEvent('button_press_event', fig.canvas, 0.5, 0.5, 1, None)
 
     xs = np.linspace(0.25, 0.75, 30)
     ys = np.linspace(0.25, 0.75, 30)
     xs, ys = np.meshgrid(xs, ys)
 
-    txt = plt.text(0.48, 0.52, 'hello world', ha='center', fontsize=30,
-                   rotation=30)
+    txt = plt.text(
+        0.5, 0.4, 'hello world', ha='center', fontsize=30, rotation=30)
     # uncomment to draw the text's bounding box
     # txt.set_bbox(dict(edgecolor='black', facecolor='none'))
 
     # draw the text. This is important, as the contains method can only work
     # when a renderer exists.
-    plt.draw()
+    fig.canvas.draw()
 
     for x, y in zip(xs.flat, ys.flat):
-        mevent.x, mevent.y = plt.gca().transAxes.transform_point([x, y])
-
+        mevent.x, mevent.y = plt.gca().transAxes.transform([x, y])
         contains, _ = txt.contains(mevent)
-
         color = 'yellow' if contains else 'red'
 
         # capture the viewLim, plot a point, and reset the viewLim
@@ -166,10 +239,37 @@ def test_contains():
         ax.viewLim.set(vl)
 
 
-@image_comparison(baseline_images=['titles'])
+def test_annotation_contains():
+    # Check that Annotation.contains looks at the bboxes of the text and the
+    # arrow separately, not at the joint bbox.
+    fig, ax = plt.subplots()
+    ann = ax.annotate(
+        "hello", xy=(.4, .4), xytext=(.6, .6), arrowprops={"arrowstyle": "->"})
+    fig.canvas.draw()  # Needed for the same reason as in test_contains.
+    event = MouseEvent(
+        "button_press_event", fig.canvas, *ax.transData.transform((.5, .6)))
+    assert ann.contains(event) == (False, {})
+
+
+@pytest.mark.parametrize('err, xycoords, match', (
+    (TypeError, print, "xycoords callable must return a BboxBase or Transform, not a"),
+    (TypeError, [0, 0], r"'xycoords' must be an instance of str, tuple"),
+    (ValueError, "foo", "'foo' is not a valid coordinate"),
+    (ValueError, "foo bar", "'foo bar' is not a valid coordinate"),
+    (ValueError, "offset foo", "xycoords cannot be an offset coordinate"),
+    (ValueError, "axes foo", "'foo' is not a recognized unit"),
+))
+def test_annotate_errors(err, xycoords, match):
+    fig, ax = plt.subplots()
+    with pytest.raises(err, match=match):
+        ax.annotate('xy', (0, 0), xytext=(0.5, 0.5), xycoords=xycoords)
+        fig.canvas.draw()
+
+
+@image_comparison(['titles'])
 def test_titles():
     # left and right side titles
-    fig = plt.figure()
+    plt.figure()
     ax = plt.subplot(1, 1, 1)
     ax.set_title("left title", loc="left")
     ax.set_title("right title", loc="right")
@@ -177,104 +277,909 @@ def test_titles():
     ax.set_yticks([])
 
 
-@image_comparison(baseline_images=['text_alignment'])
+@image_comparison(['text_alignment'], style='mpl20')
 def test_alignment():
-    fig = plt.figure()
+    plt.figure()
     ax = plt.subplot(1, 1, 1)
 
     x = 0.1
     for rotation in (0, 30):
         for alignment in ('top', 'bottom', 'baseline', 'center'):
-            ax.text(x, 0.5, alignment + " Tj", va=alignment, rotation=rotation,
-                    bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.5))
-            ax.text(x, 1.0, r'$\sum_{i=0}^{j}$', va=alignment, rotation=rotation)
+            ax.text(
+                x, 0.5, alignment + " Tj", va=alignment, rotation=rotation,
+                bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.5))
+            ax.text(
+                x, 1.0, r'$\sum_{i=0}^{j}$', va=alignment, rotation=rotation)
             x += 0.1
 
     ax.plot([0, 1], [0.5, 0.5])
     ax.plot([0, 1], [1.0, 1.0])
 
-    ax.set_xlim([0, 1])
-    ax.set_ylim([0, 1.5])
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1.5)
     ax.set_xticks([])
     ax.set_yticks([])
 
 
-@image_comparison(baseline_images=['axes_titles'], extensions=['png'])
+@image_comparison(['axes_titles.png'])
 def test_axes_titles():
     # Related to issue #3327
-    fig = plt.figure()
-    ax = plt.subplot(1,1,1)
+    plt.figure()
+    ax = plt.subplot(1, 1, 1)
     ax.set_title('center', loc='center', fontsize=20, fontweight=700)
     ax.set_title('left', loc='left', fontsize=12, fontweight=400)
     ax.set_title('right', loc='right', fontsize=12, fontweight=400)
 
 
-@cleanup
 def test_set_position():
     fig, ax = plt.subplots()
 
     # test set_position
-    ann = ax.annotate('test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
-    plt.draw()
+    ann = ax.annotate(
+        'test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
+    fig.canvas.draw()
 
     init_pos = ann.get_window_extent(fig.canvas.renderer)
     shift_val = 15
     ann.set_position((shift_val, shift_val))
-    plt.draw()
+    fig.canvas.draw()
     post_pos = ann.get_window_extent(fig.canvas.renderer)
 
     for a, b in zip(init_pos.min, post_pos.min):
         assert a + shift_val == b
 
     # test xyann
-    ann = ax.annotate('test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
-    plt.draw()
+    ann = ax.annotate(
+        'test', (0, 0), xytext=(0, 0), textcoords='figure pixels')
+    fig.canvas.draw()
 
     init_pos = ann.get_window_extent(fig.canvas.renderer)
     shift_val = 15
     ann.xyann = (shift_val, shift_val)
-    plt.draw()
+    fig.canvas.draw()
     post_pos = ann.get_window_extent(fig.canvas.renderer)
 
     for a, b in zip(init_pos.min, post_pos.min):
         assert a + shift_val == b
 
 
+def test_char_index_at():
+    fig = plt.figure()
+    text = fig.text(0.1, 0.9, "")
+
+    text.set_text("i")
+    bbox = text.get_window_extent()
+    size_i = bbox.x1 - bbox.x0
+
+    text.set_text("m")
+    bbox = text.get_window_extent()
+    size_m = bbox.x1 - bbox.x0
+
+    text.set_text("iiiimmmm")
+    bbox = text.get_window_extent()
+    origin = bbox.x0
+
+    assert text._char_index_at(origin - size_i) == 0  # left of first char
+    assert text._char_index_at(origin) == 0
+    assert text._char_index_at(origin + 0.499*size_i) == 0
+    assert text._char_index_at(origin + 0.501*size_i) == 1
+    assert text._char_index_at(origin + size_i*3) == 3
+    assert text._char_index_at(origin + size_i*4 + size_m*3) == 7
+    assert text._char_index_at(origin + size_i*4 + size_m*4) == 8
+    assert text._char_index_at(origin + size_i*4 + size_m*10) == 8
+
+
+@pytest.mark.parametrize('text', ['', 'O'], ids=['empty', 'non-empty'])
+def test_non_default_dpi(text):
+    fig, ax = plt.subplots()
+
+    t1 = ax.text(0.5, 0.5, text, ha='left', va='bottom')
+    fig.canvas.draw()
+    dpi = fig.dpi
+
+    bbox1 = t1.get_window_extent()
+    bbox2 = t1.get_window_extent(dpi=dpi * 10)
+    np.testing.assert_allclose(bbox2.get_points(), bbox1.get_points() * 10,
+                               rtol=5e-2)
+    # Text.get_window_extent should not permanently change dpi.
+    assert fig.dpi == dpi
+
+
 def test_get_rotation_string():
-    from matplotlib import text
-    assert text.get_rotation('horizontal') == 0.
-    assert text.get_rotation('vertical') == 90.
-    assert text.get_rotation('15.') == 15.
+    assert Text(rotation='horizontal').get_rotation() == 0.
+    assert Text(rotation='vertical').get_rotation() == 90.
 
 
 def test_get_rotation_float():
-    from matplotlib import text
     for i in [15., 16.70, 77.4]:
-        assert text.get_rotation(i) == i
+        assert Text(rotation=i).get_rotation() == i
 
 
 def test_get_rotation_int():
-    from matplotlib import text
     for i in [67, 16, 41]:
-        assert text.get_rotation(i) == float(i)
+        assert Text(rotation=i).get_rotation() == float(i)
 
 
 def test_get_rotation_raises():
-    from matplotlib import text
-    import sys
-    if sys.version_info[:2] < (2, 7):
-        raise SkipTest("assert_raises as context manager "
-                       "not supported with Python < 2.7")
-    with assert_raises(ValueError):
-        text.get_rotation('hozirontal')
+    with pytest.raises(ValueError):
+        Text(rotation='hozirontal')
 
 
 def test_get_rotation_none():
-    from matplotlib import text
-    assert text.get_rotation(None) == 0.0
+    assert Text(rotation=None).get_rotation() == 0.0
 
 
 def test_get_rotation_mod360():
-    from matplotlib import text
     for i, j in zip([360., 377., 720+177.2], [0., 17., 177.2]):
-        assert_almost_equal(text.get_rotation(i), j)
+        assert_almost_equal(Text(rotation=i).get_rotation(), j)
+
+
+@pytest.mark.parametrize("ha", ["center", "right", "left"])
+@pytest.mark.parametrize("va", ["center", "top", "bottom",
+                                "baseline", "center_baseline"])
+def test_null_rotation_with_rotation_mode(ha, va):
+    fig, ax = plt.subplots()
+    kw = dict(rotation=0, va=va, ha=ha)
+    t0 = ax.text(.5, .5, 'test', rotation_mode='anchor', **kw)
+    t1 = ax.text(.5, .5, 'test', rotation_mode='default', **kw)
+    fig.canvas.draw()
+    assert_almost_equal(t0.get_window_extent(fig.canvas.renderer).get_points(),
+                        t1.get_window_extent(fig.canvas.renderer).get_points())
+
+
+@image_comparison(['text_bboxclip'])
+def test_bbox_clipping():
+    plt.text(0.9, 0.2, 'Is bbox clipped?', backgroundcolor='r', clip_on=True)
+    t = plt.text(0.9, 0.5, 'Is fancy bbox clipped?', clip_on=True)
+    t.set_bbox({"boxstyle": "round, pad=0.1"})
+
+
+@image_comparison(['annotation_negative_ax_coords.png'])
+def test_annotation_negative_ax_coords():
+    fig, ax = plt.subplots()
+
+    ax.annotate('+ pts',
+                xytext=[30, 20], textcoords='axes points',
+                xy=[30, 20], xycoords='axes points', fontsize=32)
+    ax.annotate('- pts',
+                xytext=[30, -20], textcoords='axes points',
+                xy=[30, -20], xycoords='axes points', fontsize=32,
+                va='top')
+    ax.annotate('+ frac',
+                xytext=[0.75, 0.05], textcoords='axes fraction',
+                xy=[0.75, 0.05], xycoords='axes fraction', fontsize=32)
+    ax.annotate('- frac',
+                xytext=[0.75, -0.05], textcoords='axes fraction',
+                xy=[0.75, -0.05], xycoords='axes fraction', fontsize=32,
+                va='top')
+
+    ax.annotate('+ pixels',
+                xytext=[160, 25], textcoords='axes pixels',
+                xy=[160, 25], xycoords='axes pixels', fontsize=32)
+    ax.annotate('- pixels',
+                xytext=[160, -25], textcoords='axes pixels',
+                xy=[160, -25], xycoords='axes pixels', fontsize=32,
+                va='top')
+
+
+@image_comparison(['annotation_negative_fig_coords.png'])
+def test_annotation_negative_fig_coords():
+    fig, ax = plt.subplots()
+
+    ax.annotate('+ pts',
+                xytext=[10, 120], textcoords='figure points',
+                xy=[10, 120], xycoords='figure points', fontsize=32)
+    ax.annotate('- pts',
+                xytext=[-10, 180], textcoords='figure points',
+                xy=[-10, 180], xycoords='figure points', fontsize=32,
+                va='top')
+    ax.annotate('+ frac',
+                xytext=[0.05, 0.55], textcoords='figure fraction',
+                xy=[0.05, 0.55], xycoords='figure fraction', fontsize=32)
+    ax.annotate('- frac',
+                xytext=[-0.05, 0.5], textcoords='figure fraction',
+                xy=[-0.05, 0.5], xycoords='figure fraction', fontsize=32,
+                va='top')
+
+    ax.annotate('+ pixels',
+                xytext=[50, 50], textcoords='figure pixels',
+                xy=[50, 50], xycoords='figure pixels', fontsize=32)
+    ax.annotate('- pixels',
+                xytext=[-50, 100], textcoords='figure pixels',
+                xy=[-50, 100], xycoords='figure pixels', fontsize=32,
+                va='top')
+
+
+def test_text_stale():
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    plt.draw_all()
+    assert not ax1.stale
+    assert not ax2.stale
+    assert not fig.stale
+
+    txt1 = ax1.text(.5, .5, 'aardvark')
+    assert ax1.stale
+    assert txt1.stale
+    assert fig.stale
+
+    ann1 = ax2.annotate('aardvark', xy=[.5, .5])
+    assert ax2.stale
+    assert ann1.stale
+    assert fig.stale
+
+    plt.draw_all()
+    assert not ax1.stale
+    assert not ax2.stale
+    assert not fig.stale
+
+
+@image_comparison(['agg_text_clip.png'])
+def test_agg_text_clip():
+    np.random.seed(1)
+    fig, (ax1, ax2) = plt.subplots(2)
+    for x, y in np.random.rand(10, 2):
+        ax1.text(x, y, "foo", clip_on=True)
+        ax2.text(x, y, "foo")
+
+
+def test_text_size_binding():
+    mpl.rcParams['font.size'] = 10
+    fp = mpl.font_manager.FontProperties(size='large')
+    sz1 = fp.get_size_in_points()
+    mpl.rcParams['font.size'] = 100
+
+    assert sz1 == fp.get_size_in_points()
+
+
+@image_comparison(['font_scaling.pdf'])
+def test_font_scaling():
+    mpl.rcParams['pdf.fonttype'] = 42
+    fig, ax = plt.subplots(figsize=(6.4, 12.4))
+    ax.xaxis.set_major_locator(plt.NullLocator())
+    ax.yaxis.set_major_locator(plt.NullLocator())
+    ax.set_ylim(-10, 600)
+
+    for i, fs in enumerate(range(4, 43, 2)):
+        ax.text(0.1, i*30, f"{fs} pt font size", fontsize=fs)
+
+
+@pytest.mark.parametrize('spacing1, spacing2', [(0.4, 2), (2, 0.4), (2, 2)])
+def test_two_2line_texts(spacing1, spacing2):
+    text_string = 'line1\nline2'
+    fig = plt.figure()
+    renderer = fig.canvas.get_renderer()
+
+    text1 = fig.text(0.25, 0.5, text_string, linespacing=spacing1)
+    text2 = fig.text(0.25, 0.5, text_string, linespacing=spacing2)
+    fig.canvas.draw()
+
+    box1 = text1.get_window_extent(renderer=renderer)
+    box2 = text2.get_window_extent(renderer=renderer)
+
+    # line spacing only affects height
+    assert box1.width == box2.width
+    if spacing1 == spacing2:
+        assert box1.height == box2.height
+    else:
+        assert box1.height != box2.height
+
+
+def test_validate_linespacing():
+    with pytest.raises(TypeError):
+        plt.text(.25, .5, "foo", linespacing="abc")
+
+
+def test_nonfinite_pos():
+    fig, ax = plt.subplots()
+    ax.text(0, np.nan, 'nan')
+    ax.text(np.inf, 0, 'inf')
+    fig.canvas.draw()
+
+
+def test_hinting_factor_backends():
+    plt.rcParams['text.hinting_factor'] = 1
+    fig = plt.figure()
+    t = fig.text(0.5, 0.5, 'some text')
+
+    fig.savefig(io.BytesIO(), format='svg')
+    expected = t.get_window_extent().intervalx
+
+    fig.savefig(io.BytesIO(), format='png')
+    # Backends should apply hinting_factor consistently (within 10%).
+    np.testing.assert_allclose(t.get_window_extent().intervalx, expected,
+                               rtol=0.1)
+
+
+@needs_usetex
+def test_usetex_is_copied():
+    # Indirectly tests that update_from (which is used to copy tick label
+    # properties) copies usetex state.
+    fig = plt.figure()
+    plt.rcParams["text.usetex"] = False
+    ax1 = fig.add_subplot(121)
+    plt.rcParams["text.usetex"] = True
+    ax2 = fig.add_subplot(122)
+    fig.canvas.draw()
+    for ax, usetex in [(ax1, False), (ax2, True)]:
+        for t in ax.xaxis.majorTicks:
+            assert t.label1.get_usetex() == usetex
+
+
+@needs_usetex
+def test_single_artist_usetex():
+    # Check that a single artist marked with usetex does not get passed through
+    # the mathtext parser at all (for the Agg backend) (the mathtext parser
+    # currently fails to parse \frac12, requiring \frac{1}{2} instead).
+    fig = plt.figure()
+    fig.text(.5, .5, r"$\frac12$", usetex=True)
+    fig.canvas.draw()
+
+
+@pytest.mark.parametrize("fmt", ["png", "pdf", "svg"])
+def test_single_artist_usenotex(fmt):
+    # Check that a single artist can be marked as not-usetex even though the
+    # rcParam is on ("2_2_2" fails if passed to TeX).  This currently skips
+    # postscript output as the ps renderer doesn't support mixing usetex and
+    # non-usetex.
+    plt.rcParams["text.usetex"] = True
+    fig = plt.figure()
+    fig.text(.5, .5, "2_2_2", usetex=False)
+    fig.savefig(io.BytesIO(), format=fmt)
+
+
+@image_comparison(['text_as_path_opacity.svg'])
+def test_text_as_path_opacity():
+    plt.figure()
+    plt.gca().set_axis_off()
+    plt.text(0.25, 0.25, 'c', color=(0, 0, 0, 0.5))
+    plt.text(0.25, 0.5, 'a', alpha=0.5)
+    plt.text(0.25, 0.75, 'x', alpha=0.5, color=(0, 0, 0, 1))
+
+
+@image_comparison(['text_as_text_opacity.svg'])
+def test_text_as_text_opacity():
+    mpl.rcParams['svg.fonttype'] = 'none'
+    plt.figure()
+    plt.gca().set_axis_off()
+    plt.text(0.25, 0.25, '50% using `color`', color=(0, 0, 0, 0.5))
+    plt.text(0.25, 0.5, '50% using `alpha`', alpha=0.5)
+    plt.text(0.25, 0.75, '50% using `alpha` and 100% `color`', alpha=0.5,
+             color=(0, 0, 0, 1))
+
+
+def test_text_repr():
+    # smoketest to make sure text repr doesn't error for category
+    plt.plot(['A', 'B'], [1, 2])
+    repr(plt.text(['A'], 0.5, 'Boo'))
+
+
+def test_annotation_update():
+    fig, ax = plt.subplots(1, 1)
+    an = ax.annotate('annotation', xy=(0.5, 0.5))
+    extent1 = an.get_window_extent(fig.canvas.get_renderer())
+    fig.tight_layout()
+    extent2 = an.get_window_extent(fig.canvas.get_renderer())
+
+    assert not np.allclose(extent1.get_points(), extent2.get_points(),
+                           rtol=1e-6)
+
+
+@check_figures_equal()
+def test_annotation_units(fig_test, fig_ref):
+    ax = fig_test.add_subplot()
+    ax.plot(datetime.now(), 1, "o")  # Implicitly set axes extents.
+    ax.annotate("x", (datetime.now(), 0.5), xycoords=("data", "axes fraction"),
+                # This used to crash before.
+                xytext=(0, 0), textcoords="offset points")
+    ax = fig_ref.add_subplot()
+    ax.plot(datetime.now(), 1, "o")
+    ax.annotate("x", (datetime.now(), 0.5), xycoords=("data", "axes fraction"))
+
+
+@image_comparison(['large_subscript_title.png'], style='mpl20')
+def test_large_subscript_title():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+    plt.rcParams['axes.titley'] = None
+
+    fig, axs = plt.subplots(1, 2, figsize=(9, 2.5), constrained_layout=True)
+    ax = axs[0]
+    ax.set_title(r'$\sum_{i} x_i$')
+    ax.set_title('New way', loc='left')
+    ax.set_xticklabels([])
+
+    ax = axs[1]
+    ax.set_title(r'$\sum_{i} x_i$', y=1.01)
+    ax.set_title('Old Way', loc='left')
+    ax.set_xticklabels([])
+
+
+@pytest.mark.parametrize(
+    "x, rotation, halign",
+    [(0.7, 0, 'left'),
+     (0.5, 95, 'left'),
+     (0.3, 0, 'right'),
+     (0.3, 185, 'left')])
+def test_wrap(x, rotation, halign):
+    fig = plt.figure(figsize=(18, 18))
+    gs = GridSpec(nrows=3, ncols=3, figure=fig)
+    subfig = fig.add_subfigure(gs[1, 1])
+    # we only use the central subfigure, which does not align with any
+    # figure boundary, to ensure only subfigure boundaries are relevant
+    s = 'This is a very long text that should be wrapped multiple times.'
+    text = subfig.text(x, 0.7, s, wrap=True, rotation=rotation, ha=halign)
+    fig.canvas.draw()
+    assert text._get_wrapped_text() == ('This is a very long\n'
+                                        'text that should be\n'
+                                        'wrapped multiple\n'
+                                        'times.')
+
+
+def test_mathwrap():
+    fig = plt.figure(figsize=(6, 4))
+    s = r'This is a very $\overline{\mathrm{long}}$ line of Mathtext.'
+    text = fig.text(0, 0.5, s, size=40, wrap=True)
+    fig.canvas.draw()
+    assert text._get_wrapped_text() == ('This is a very $\\overline{\\mathrm{long}}$\n'
+                                        'line of Mathtext.')
+
+
+def test_get_window_extent_wrapped():
+    # Test that a long title that wraps to two lines has the same vertical
+    # extent as an explicit two line title.
+
+    fig1 = plt.figure(figsize=(3, 3))
+    fig1.suptitle("suptitle that is clearly too long in this case", wrap=True)
+    window_extent_test = fig1._suptitle.get_window_extent()
+
+    fig2 = plt.figure(figsize=(3, 3))
+    fig2.suptitle("suptitle that is clearly\ntoo long in this case")
+    window_extent_ref = fig2._suptitle.get_window_extent()
+
+    assert window_extent_test.y0 == window_extent_ref.y0
+    assert window_extent_test.y1 == window_extent_ref.y1
+
+
+def test_long_word_wrap():
+    fig = plt.figure(figsize=(6, 4))
+    text = fig.text(9.5, 8, 'Alonglineoftexttowrap', wrap=True)
+    fig.canvas.draw()
+    assert text._get_wrapped_text() == 'Alonglineoftexttowrap'
+
+
+def test_wrap_no_wrap():
+    fig = plt.figure(figsize=(6, 4))
+    text = fig.text(0, 0, 'non wrapped text', wrap=True)
+    fig.canvas.draw()
+    assert text._get_wrapped_text() == 'non wrapped text'
+
+
+@check_figures_equal()
+def test_buffer_size(fig_test, fig_ref):
+    # On old versions of the Agg renderer, large non-ascii single-character
+    # strings (here, "€") would be rendered clipped because the rendering
+    # buffer would be set by the physical size of the smaller "a" character.
+    ax = fig_test.add_subplot()
+    ax.set_yticks([0, 1])
+    ax.set_yticklabels(["€", "a"])
+    ax.yaxis.majorTicks[1].label1.set_color("w")
+    ax = fig_ref.add_subplot()
+    ax.set_yticks([0, 1])
+    ax.set_yticklabels(["€", ""])
+
+
+def test_fontproperties_kwarg_precedence():
+    """Test that kwargs take precedence over fontproperties defaults."""
+    plt.figure()
+    text1 = plt.xlabel("value", fontproperties='Times New Roman', size=40.0)
+    text2 = plt.ylabel("counts", size=40.0, fontproperties='Times New Roman')
+    assert text1.get_size() == 40.0
+    assert text2.get_size() == 40.0
+
+
+def test_transform_rotates_text():
+    ax = plt.gca()
+    transform = mtransforms.Affine2D().rotate_deg(30)
+    text = ax.text(0, 0, 'test', transform=transform,
+                   transform_rotates_text=True)
+    result = text.get_rotation()
+    assert_almost_equal(result, 30)
+
+
+def test_update_mutate_input():
+    inp = dict(fontproperties=FontProperties(weight="bold"),
+               bbox=None)
+    cache = dict(inp)
+    t = Text()
+    t.update(inp)
+    assert inp['fontproperties'] == cache['fontproperties']
+    assert inp['bbox'] == cache['bbox']
+
+
+@pytest.mark.parametrize('rotation', ['invalid string', [90]])
+def test_invalid_rotation_values(rotation):
+    with pytest.raises(
+            ValueError,
+            match=("rotation must be 'vertical', 'horizontal' or a number")):
+        Text(0, 0, 'foo', rotation=rotation)
+
+
+def test_invalid_color():
+    with pytest.raises(ValueError):
+        plt.figtext(.5, .5, "foo", c="foobar")
+
+
+@image_comparison(['text_pdf_kerning.pdf'], style='mpl20')
+def test_pdf_kerning():
+    plt.figure()
+    plt.figtext(0.1, 0.5, "ATATATATATATATATATA", size=30)
+
+
+def test_unsupported_script(recwarn):
+    fig = plt.figure()
+    t = fig.text(.5, .5, "\N{BENGALI DIGIT ZERO}")
+    fig.canvas.draw()
+    assert all(isinstance(warn.message, UserWarning) for warn in recwarn)
+    assert (
+        [warn.message.args for warn in recwarn] ==
+        [(r"Glyph 2534 (\N{BENGALI DIGIT ZERO}) missing from font(s) "
+            + f"{t.get_fontname()}.",),
+         (r"Matplotlib currently does not support Bengali natively.",)])
+
+
+# See gh-26152 for more information on this xfail
+@pytest.mark.xfail(pyparsing_version.release == (3, 1, 0),
+                   reason="Error messages are incorrect with pyparsing 3.1.0")
+def test_parse_math():
+    fig, ax = plt.subplots()
+    ax.text(0, 0, r"$ \wrong{math} $", parse_math=False)
+    fig.canvas.draw()
+
+    ax.text(0, 0, r"$ \wrong{math} $", parse_math=True)
+    with pytest.raises(ValueError, match='Unknown symbol'):
+        fig.canvas.draw()
+
+
+# See gh-26152 for more information on this xfail
+@pytest.mark.xfail(pyparsing_version.release == (3, 1, 0),
+                   reason="Error messages are incorrect with pyparsing 3.1.0")
+def test_parse_math_rcparams():
+    # Default is True
+    fig, ax = plt.subplots()
+    ax.text(0, 0, r"$ \wrong{math} $")
+    with pytest.raises(ValueError, match='Unknown symbol'):
+        fig.canvas.draw()
+
+    # Setting rcParams to False
+    with mpl.rc_context({'text.parse_math': False}):
+        fig, ax = plt.subplots()
+        ax.text(0, 0, r"$ \wrong{math} $")
+        fig.canvas.draw()
+
+
+@image_comparison(['text_pdf_font42_kerning.pdf'], style='mpl20')
+def test_pdf_font42_kerning():
+    plt.rcParams['pdf.fonttype'] = 42
+    plt.figure()
+    plt.figtext(0.1, 0.5, "ATAVATAVATAVATAVATA", size=30)
+
+
+@image_comparison(['text_pdf_chars_beyond_bmp.pdf'], style='mpl20')
+def test_pdf_chars_beyond_bmp():
+    plt.rcParams['pdf.fonttype'] = 42
+    plt.rcParams['mathtext.fontset'] = 'stixsans'
+    plt.figure()
+    plt.figtext(0.1, 0.5, "Mass $m$ \U00010308", size=30)
+
+
+@needs_usetex
+def test_metrics_cache():
+    mpl.text._get_text_metrics_with_cache_impl.cache_clear()
+
+    fig = plt.figure()
+    fig.text(.3, .5, "foo\nbar")
+    fig.text(.3, .5, "foo\nbar", usetex=True)
+    fig.text(.5, .5, "foo\nbar", usetex=True)
+    fig.canvas.draw()
+    renderer = fig._get_renderer()
+    ys = {}  # mapping of strings to where they were drawn in y with draw_tex.
+
+    def call(*args, **kwargs):
+        renderer, x, y, s, *_ = args
+        ys.setdefault(s, set()).add(y)
+
+    renderer.draw_tex = call
+    fig.canvas.draw()
+    assert [*ys] == ["foo", "bar"]
+    # Check that both TeX strings were drawn with the same y-position for both
+    # single-line substrings.  Previously, there used to be an incorrect cache
+    # collision with the non-TeX string (drawn first here) whose metrics would
+    # get incorrectly reused by the first TeX string.
+    assert len(ys["foo"]) == len(ys["bar"]) == 1
+
+    info = mpl.text._get_text_metrics_with_cache_impl.cache_info()
+    # Every string gets a miss for the first layouting (extents), then a hit
+    # when drawing, but "foo\nbar" gets two hits as it's drawn twice.
+    assert info.hits > info.misses
+
+
+def test_annotate_offset_fontsize():
+    # Test that offset_fontsize parameter works and uses accurate values
+    fig, ax = plt.subplots()
+    text_coords = ['offset points', 'offset fontsize']
+    # 10 points should be equal to 1 fontsize unit at fontsize=10
+    xy_text = [(10, 10), (1, 1)]
+    anns = [ax.annotate('test', xy=(0.5, 0.5),
+                        xytext=xy_text[i],
+                        fontsize='10',
+                        xycoords='data',
+                        textcoords=text_coords[i]) for i in range(2)]
+    points_coords, fontsize_coords = (ann.get_window_extent() for ann in anns)
+    fig.canvas.draw()
+    assert str(points_coords) == str(fontsize_coords)
+
+
+def test_get_set_antialiased():
+    txt = Text(.5, .5, "foo\nbar")
+    assert txt._antialiased == mpl.rcParams['text.antialiased']
+    assert txt.get_antialiased() == mpl.rcParams['text.antialiased']
+
+    txt.set_antialiased(True)
+    assert txt._antialiased is True
+    assert txt.get_antialiased() == txt._antialiased
+
+    txt.set_antialiased(False)
+    assert txt._antialiased is False
+    assert txt.get_antialiased() == txt._antialiased
+
+
+def test_annotation_antialiased():
+    annot = Annotation("foo\nbar", (.5, .5), antialiased=True)
+    assert annot._antialiased is True
+    assert annot.get_antialiased() == annot._antialiased
+
+    annot2 = Annotation("foo\nbar", (.5, .5), antialiased=False)
+    assert annot2._antialiased is False
+    assert annot2.get_antialiased() == annot2._antialiased
+
+    annot3 = Annotation("foo\nbar", (.5, .5), antialiased=False)
+    annot3.set_antialiased(True)
+    assert annot3.get_antialiased() is True
+    assert annot3._antialiased is True
+
+    annot4 = Annotation("foo\nbar", (.5, .5))
+    assert annot4._antialiased == mpl.rcParams['text.antialiased']
+
+
+@check_figures_equal()
+def test_annotate_and_offsetfrom_copy_input(fig_test, fig_ref):
+    # Both approaches place the text (10, 0) pixels away from the center of the line.
+    ax = fig_test.add_subplot()
+    l, = ax.plot([0, 2], [0, 2])
+    of_xy = np.array([.5, .5])
+    ax.annotate("foo", textcoords=OffsetFrom(l, of_xy), xytext=(10, 0),
+                xy=(0, 0))  # xy is unused.
+    of_xy[:] = 1
+    ax = fig_ref.add_subplot()
+    l, = ax.plot([0, 2], [0, 2])
+    an_xy = np.array([.5, .5])
+    ax.annotate("foo", xy=an_xy, xycoords=l, xytext=(10, 0), textcoords="offset points")
+    an_xy[:] = 2
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_text_antialiased_off_default_vs_manual(fig_test, fig_ref):
+    fig_test.text(0.5, 0.5, '6 inches x 2 inches',
+                             antialiased=False)
+
+    mpl.rcParams['text.antialiased'] = False
+    fig_ref.text(0.5, 0.5, '6 inches x 2 inches')
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_text_antialiased_on_default_vs_manual(fig_test, fig_ref):
+    fig_test.text(0.5, 0.5, '6 inches x 2 inches', antialiased=True)
+
+    mpl.rcParams['text.antialiased'] = True
+    fig_ref.text(0.5, 0.5, '6 inches x 2 inches')
+
+
+def test_text_annotation_get_window_extent():
+    figure = Figure(dpi=100)
+    renderer = RendererAgg(200, 200, 100)
+
+    # Only text annotation
+    annotation = Annotation('test', xy=(0, 0), xycoords='figure pixels')
+    annotation.set_figure(figure)
+
+    text = Text(text='test', x=0, y=0)
+    text.set_figure(figure)
+
+    bbox = annotation.get_window_extent(renderer=renderer)
+
+    text_bbox = text.get_window_extent(renderer=renderer)
+    assert bbox.width == text_bbox.width
+    assert bbox.height == text_bbox.height
+
+    _, _, d = renderer.get_text_width_height_descent(
+        'text', annotation._fontproperties, ismath=False)
+    _, _, lp_d = renderer.get_text_width_height_descent(
+        'lp', annotation._fontproperties, ismath=False)
+    below_line = max(d, lp_d)
+
+    # These numbers are specific to the current implementation of Text
+    points = bbox.get_points()
+    assert points[0, 0] == 0.0
+    assert points[1, 0] == text_bbox.width
+    assert points[0, 1] == -below_line
+    assert points[1, 1] == text_bbox.height - below_line
+
+
+def test_text_with_arrow_annotation_get_window_extent():
+    headwidth = 21
+    fig, ax = plt.subplots(dpi=100)
+    txt = ax.text(s='test', x=0, y=0)
+    ann = ax.annotate(
+        'test',
+        xy=(0.0, 50.0),
+        xytext=(50.0, 50.0), xycoords='figure pixels',
+        arrowprops={
+            'facecolor': 'black', 'width': 2,
+            'headwidth': headwidth, 'shrink': 0.0})
+
+    plt.draw()
+    renderer = fig.canvas.renderer
+    # bounding box of text
+    text_bbox = txt.get_window_extent(renderer=renderer)
+    # bounding box of annotation (text + arrow)
+    bbox = ann.get_window_extent(renderer=renderer)
+    # bounding box of arrow
+    arrow_bbox = ann.arrow_patch.get_window_extent(renderer)
+    # bounding box of annotation text
+    ann_txt_bbox = Text.get_window_extent(ann)
+
+    # make sure annotation width is 50 px wider than
+    # just the text
+    assert bbox.width == text_bbox.width + 50.0
+    # make sure the annotation text bounding box is same size
+    # as the bounding box of the same string as a Text object
+    assert ann_txt_bbox.height == text_bbox.height
+    assert ann_txt_bbox.width == text_bbox.width
+    # compute the expected bounding box of arrow + text
+    expected_bbox = mtransforms.Bbox.union([ann_txt_bbox, arrow_bbox])
+    assert_almost_equal(bbox.height, expected_bbox.height)
+
+
+def test_arrow_annotation_get_window_extent():
+    dpi = 100
+    dots_per_point = dpi / 72
+    figure = Figure(dpi=dpi)
+    figure.set_figwidth(2.0)
+    figure.set_figheight(2.0)
+    renderer = RendererAgg(200, 200, 100)
+
+    # Text annotation with arrow; arrow dimensions are in points
+    annotation = Annotation(
+        '', xy=(0.0, 50.0), xytext=(50.0, 50.0), xycoords='figure pixels',
+        arrowprops={
+            'facecolor': 'black', 'width': 8, 'headwidth': 10, 'shrink': 0.0})
+    annotation.set_figure(figure)
+    annotation.draw(renderer)
+
+    bbox = annotation.get_window_extent()
+    points = bbox.get_points()
+
+    assert bbox.width == 50.0
+    assert_almost_equal(bbox.height, 10.0 * dots_per_point)
+    assert points[0, 0] == 0.0
+    assert points[0, 1] == 50.0 - 5 * dots_per_point
+
+
+def test_empty_annotation_get_window_extent():
+    figure = Figure(dpi=100)
+    figure.set_figwidth(2.0)
+    figure.set_figheight(2.0)
+    renderer = RendererAgg(200, 200, 100)
+
+    # Text annotation with arrow
+    annotation = Annotation(
+        '', xy=(0.0, 50.0), xytext=(0.0, 50.0), xycoords='figure pixels')
+    annotation.set_figure(figure)
+    annotation.draw(renderer)
+
+    bbox = annotation.get_window_extent()
+    points = bbox.get_points()
+
+    assert points[0, 0] == 0.0
+    assert points[1, 0] == 0.0
+    assert points[1, 1] == 50.0
+    assert points[0, 1] == 50.0
+
+
+@image_comparison(baseline_images=['basictext_wrap'],
+                  extensions=['png'])
+def test_basic_wrap():
+    fig = plt.figure()
+    plt.axis([0, 10, 0, 10])
+    t = "This is a really long string that I'd rather have wrapped so that" \
+        " it doesn't go outside of the figure, but if it's long enough it" \
+        " will go off the top or bottom!"
+    plt.text(4, 1, t, ha='left', rotation=15, wrap=True)
+    plt.text(6, 5, t, ha='left', rotation=15, wrap=True)
+    plt.text(5, 5, t, ha='right', rotation=-15, wrap=True)
+    plt.text(5, 10, t, fontsize=18, style='oblique', ha='center',
+             va='top', wrap=True)
+    plt.text(3, 4, t, family='serif', style='italic', ha='right', wrap=True)
+    plt.text(-1, 0, t, ha='left', rotation=-15, wrap=True)
+
+
+@image_comparison(baseline_images=['fonttext_wrap'],
+                  extensions=['png'])
+def test_font_wrap():
+    fig = plt.figure()
+    plt.axis([0, 10, 0, 10])
+    t = "This is a really long string that I'd rather have wrapped so that" \
+        " it doesn't go outside of the figure, but if it's long enough it" \
+        " will go off the top or bottom!"
+    plt.text(4, -1, t, fontsize=18, family='serif', ha='left', rotation=15,
+             wrap=True)
+    plt.text(6, 5, t, family='sans serif', ha='left', rotation=15, wrap=True)
+    plt.text(5, 10, t, weight='heavy', ha='center', va='top', wrap=True)
+    plt.text(3, 4, t, family='monospace', ha='right', wrap=True)
+    plt.text(-1, 0, t, fontsize=14, style='italic', ha='left', rotation=-15,
+             wrap=True)
+
+
+def test_ha_for_angle():
+    text_instance = Text()
+    angles = np.arange(0, 360.1, 0.1)
+    for angle in angles:
+        alignment = text_instance._ha_for_angle(angle)
+        assert alignment in ['center', 'left', 'right']
+
+
+def test_va_for_angle():
+    text_instance = Text()
+    angles = np.arange(0, 360.1, 0.1)
+    for angle in angles:
+        alignment = text_instance._va_for_angle(angle)
+        assert alignment in ['center', 'top', 'baseline']
+
+
+@image_comparison(baseline_images=['xtick_rotation_mode'],
+                  remove_text=False, extensions=['png'], style='mpl20')
+def test_xtick_rotation_mode():
+    fig, ax = plt.subplots(figsize=(12, 1))
+    ax.set_yticks([])
+    ax2 = ax.twiny()
+
+    ax.set_xticks(range(37), ['foo'] * 37, rotation_mode="xtick")
+    ax2.set_xticks(range(37), ['foo'] * 37, rotation_mode="xtick")
+
+    angles = np.linspace(0, 360, 37)
+
+    for tick, angle in zip(ax.get_xticklabels(), angles):
+        tick.set_rotation(angle)
+    for tick, angle in zip(ax2.get_xticklabels(), angles):
+        tick.set_rotation(angle)
+
+    plt.subplots_adjust(left=0.01, right=0.99, top=.6, bottom=.4)
+
+
+@image_comparison(baseline_images=['ytick_rotation_mode'],
+                  remove_text=False, extensions=['png'], style='mpl20')
+def test_ytick_rotation_mode():
+    fig, ax = plt.subplots(figsize=(1, 12))
+    ax.set_xticks([])
+    ax2 = ax.twinx()
+
+    ax.set_yticks(range(37), ['foo'] * 37, rotation_mode="ytick")
+    ax2.set_yticks(range(37), ['foo'] * 37, rotation_mode='ytick')
+
+    angles = np.linspace(0, 360, 37)
+    for tick, angle in zip(ax.get_yticklabels(), angles):
+        tick.set_rotation(angle)
+    for tick, angle in zip(ax2.get_yticklabels(), angles):
+        tick.set_rotation(angle)
+
+    plt.subplots_adjust(left=0.4, right=0.6, top=.99, bottom=.01)
diff --git a/lib/matplotlib/tests/test_textpath.py b/lib/matplotlib/tests/test_textpath.py
new file mode 100644
index 000000000000..e421d2623cad
--- /dev/null
+++ b/lib/matplotlib/tests/test_textpath.py
@@ -0,0 +1,10 @@
+import copy
+
+from matplotlib.textpath import TextPath
+
+
+def test_copy():
+    tp = TextPath((0, 0), ".")
+    assert copy.deepcopy(tp).vertices is not tp.vertices
+    assert (copy.deepcopy(tp).vertices == tp.vertices).all()
+    assert copy.copy(tp).vertices is tp.vertices
diff --git a/lib/matplotlib/tests/test_ticker.py b/lib/matplotlib/tests/test_ticker.py
index 6d17f7090189..0f54230663aa 100644
--- a/lib/matplotlib/tests/test_ticker.py
+++ b/lib/matplotlib/tests/test_ticker.py
@@ -1,105 +1,1997 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from contextlib import nullcontext
+import itertools
+import locale
+import logging
+import re
+from packaging.version import parse as parse_version
 
-import six
-import nose.tools
-from nose.tools import assert_raises
-from numpy.testing import assert_almost_equal
 import numpy as np
-import matplotlib
+from numpy.testing import assert_almost_equal, assert_array_equal
+import pytest
 
+import matplotlib as mpl
+import matplotlib.pyplot as plt
 import matplotlib.ticker as mticker
 
 
-def test_MaxNLocator():
-    loc = mticker.MaxNLocator(nbins=5)
-    test_value = np.array([20., 40., 60., 80., 100.])
-    assert_almost_equal(loc.tick_values(20, 100), test_value)
+class TestMaxNLocator:
+    basic_data = [
+        (20, 100, np.array([20., 40., 60., 80., 100.])),
+        (0.001, 0.0001, np.array([0., 0.0002, 0.0004, 0.0006, 0.0008, 0.001])),
+        (-1e15, 1e15, np.array([-1.0e+15, -5.0e+14, 0e+00, 5e+14, 1.0e+15])),
+        (0, 0.85e-50, np.arange(6) * 2e-51),
+        (-0.85e-50, 0, np.arange(-5, 1) * 2e-51),
+    ]
 
-    test_value = np.array([0., 0.0002, 0.0004, 0.0006, 0.0008, 0.001])
-    assert_almost_equal(loc.tick_values(0.001, 0.0001), test_value)
+    integer_data = [
+        (-0.1, 1.1, None, np.array([-1, 0, 1, 2])),
+        (-0.1, 0.95, None, np.array([-0.25, 0, 0.25, 0.5, 0.75, 1.0])),
+        (1, 55, [1, 1.5, 5, 6, 10], np.array([0, 15, 30, 45, 60])),
+    ]
 
-    test_value = np.array([-1.0e+15, -5.0e+14, 0e+00, 5e+14, 1.0e+15])
-    assert_almost_equal(loc.tick_values(-1e15, 1e15), test_value)
+    @pytest.mark.parametrize('vmin, vmax, expected', basic_data)
+    def test_basic(self, vmin, vmax, expected):
+        loc = mticker.MaxNLocator(nbins=5)
+        assert_almost_equal(loc.tick_values(vmin, vmax), expected)
 
+    @pytest.mark.parametrize('vmin, vmax, steps, expected', integer_data)
+    def test_integer(self, vmin, vmax, steps, expected):
+        loc = mticker.MaxNLocator(nbins=5, integer=True, steps=steps)
+        assert_almost_equal(loc.tick_values(vmin, vmax), expected)
 
-def test_LinearLocator():
-    loc = mticker.LinearLocator(numticks=3)
-    test_value = np.array([-0.8, -0.3, 0.2])
-    assert_almost_equal(loc.tick_values(-0.8, 0.2), test_value)
+    @pytest.mark.parametrize('kwargs, errortype, match', [
+        ({'foo': 0}, TypeError,
+         re.escape("set_params() got an unexpected keyword argument 'foo'")),
+        ({'steps': [2, 1]}, ValueError, "steps argument must be an increasing"),
+        ({'steps': 2}, ValueError, "steps argument must be an increasing"),
+        ({'steps': [2, 11]}, ValueError, "steps argument must be an increasing"),
+    ])
+    def test_errors(self, kwargs, errortype, match):
+        with pytest.raises(errortype, match=match):
+            mticker.MaxNLocator(**kwargs)
 
+    @pytest.mark.parametrize('steps, result', [
+        ([1, 2, 10], [1, 2, 10]),
+        ([2, 10], [1, 2, 10]),
+        ([1, 2], [1, 2, 10]),
+        ([2], [1, 2, 10]),
+    ])
+    def test_padding(self, steps, result):
+        loc = mticker.MaxNLocator(steps=steps)
+        assert (loc._steps == result).all()
 
-def test_MultipleLocator():
-    loc = mticker.MultipleLocator(base=3.147)
-    test_value = np.array([-9.441, -6.294, -3.147, 0., 3.147, 6.294,
-                           9.441, 12.588])
-    assert_almost_equal(loc.tick_values(-7, 10), test_value)
 
+class TestLinearLocator:
+    def test_basic(self):
+        loc = mticker.LinearLocator(numticks=3)
+        test_value = np.array([-0.8, -0.3, 0.2])
+        assert_almost_equal(loc.tick_values(-0.8, 0.2), test_value)
 
-def test_LogLocator():
-    loc = mticker.LogLocator(numticks=5)
+    def test_zero_numticks(self):
+        loc = mticker.LinearLocator(numticks=0)
+        loc.tick_values(-0.8, 0.2) == []
 
-    assert_raises(ValueError, loc.tick_values, 0, 1000)
+    def test_set_params(self):
+        """
+        Create linear locator with presets={}, numticks=2 and change it to
+        something else. See if change was successful. Should not exception.
+        """
+        loc = mticker.LinearLocator(numticks=2)
+        loc.set_params(numticks=8, presets={(0, 1): []})
+        assert loc.numticks == 8
+        assert loc.presets == {(0, 1): []}
 
-    test_value = np.array([1.00000000e-05, 1.00000000e-03, 1.00000000e-01,
-                           1.00000000e+01, 1.00000000e+03, 1.00000000e+05,
-                           1.00000000e+07, 1.000000000e+09])
-    assert_almost_equal(loc.tick_values(0.001, 1.1e5), test_value)
+    def test_presets(self):
+        loc = mticker.LinearLocator(presets={(1, 2): [1, 1.25, 1.75],
+                                             (0, 2): [0.5, 1.5]})
+        assert loc.tick_values(1, 2) == [1, 1.25, 1.75]
+        assert loc.tick_values(2, 1) == [1, 1.25, 1.75]
+        assert loc.tick_values(0, 2) == [0.5, 1.5]
+        assert loc.tick_values(0.0, 2.0) == [0.5, 1.5]
+        assert (loc.tick_values(0, 1) == np.linspace(0, 1, 11)).all()
 
-    loc = mticker.LogLocator(base=2)
-    test_value = np.array([0.5, 1., 2., 4., 8., 16., 32., 64., 128., 256.])
-    assert_almost_equal(loc.tick_values(1, 100), test_value)
 
+class TestMultipleLocator:
+    def test_basic(self):
+        loc = mticker.MultipleLocator(base=3.147)
+        test_value = np.array([-9.441, -6.294, -3.147, 0., 3.147, 6.294,
+                               9.441, 12.588])
+        assert_almost_equal(loc.tick_values(-7, 10), test_value)
 
-def test_LogFormatterExponent():
-    class FakeAxis(object):
-        """Allow Formatter to be called without having a "full" plot set up."""
-        def get_view_interval(self):
-            return 1, 10
+    def test_basic_with_offset(self):
+        loc = mticker.MultipleLocator(base=3.147, offset=1.2)
+        test_value = np.array([-8.241, -5.094, -1.947, 1.2, 4.347, 7.494,
+                               10.641])
+        assert_almost_equal(loc.tick_values(-7, 10), test_value)
 
-    i = np.arange(-3, 4, dtype=float)
-    expected_result = ['-3', '-2', '-1', '0', '1', '2', '3']
-    for base in [2, 5, 10, np.pi, np.e]:
-        formatter = mticker.LogFormatterExponent(base=base)
-        formatter.axis = FakeAxis()
-        vals = base**i
-        labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
-        nose.tools.assert_equal(labels, expected_result)
+    def test_view_limits(self):
+        """
+        Test basic behavior of view limits.
+        """
+        with mpl.rc_context({'axes.autolimit_mode': 'data'}):
+            loc = mticker.MultipleLocator(base=3.147)
+            assert_almost_equal(loc.view_limits(-5, 5), (-5, 5))
 
-    # Should be a blank string for non-integer powers if labelOnlyBase=True
-    formatter = mticker.LogFormatterExponent(base=10, labelOnlyBase=True)
-    formatter.axis = FakeAxis()
-    nose.tools.assert_equal(formatter(10**0.1), '')
+    def test_view_limits_round_numbers(self):
+        """
+        Test that everything works properly with 'round_numbers' for auto
+        limit.
+        """
+        with mpl.rc_context({'axes.autolimit_mode': 'round_numbers'}):
+            loc = mticker.MultipleLocator(base=3.147)
+            assert_almost_equal(loc.view_limits(-4, 4), (-6.294, 6.294))
 
-    # Otherwise, non-integer powers should be nicely formatted
-    locs = np.array([0.1, 0.00001, np.pi, 0.2, -0.2, -0.00001])
-    i = range(len(locs))
-    expected_result = ['0.1', '1e-05', '3.14', '0.2', '-0.2', '-1e-05']
-    for base in [2, 5, 10, np.pi, np.e]:
-        formatter = mticker.LogFormatterExponent(base, labelOnlyBase=False)
-        formatter.axis = FakeAxis()
-        vals = base**locs
-        labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
-        nose.tools.assert_equal(labels, expected_result)
+    def test_view_limits_round_numbers_with_offset(self):
+        """
+        Test that everything works properly with 'round_numbers' for auto
+        limit.
+        """
+        with mpl.rc_context({'axes.autolimit_mode': 'round_numbers'}):
+            loc = mticker.MultipleLocator(base=3.147, offset=1.3)
+            assert_almost_equal(loc.view_limits(-4, 4), (-4.994, 4.447))
+
+    def test_view_limits_single_bin(self):
+        """
+        Test that 'round_numbers' works properly with a single bin.
+        """
+        with mpl.rc_context({'axes.autolimit_mode': 'round_numbers'}):
+            loc = mticker.MaxNLocator(nbins=1)
+            assert_almost_equal(loc.view_limits(-2.3, 2.3), (-4, 4))
+
+    def test_set_params(self):
+        """
+        Create multiple locator with 0.7 base, and change it to something else.
+        See if change was successful.
+        """
+        mult = mticker.MultipleLocator(base=0.7)
+        mult.set_params(base=1.7)
+        assert mult._edge.step == 1.7
+        mult.set_params(offset=3)
+        assert mult._offset == 3
+
+
+class TestAutoMinorLocator:
+    def test_basic(self):
+        fig, ax = plt.subplots()
+        ax.set_xlim(0, 1.39)
+        ax.minorticks_on()
+        test_value = np.array([0.05, 0.1, 0.15, 0.25, 0.3, 0.35, 0.45,
+                               0.5, 0.55, 0.65, 0.7, 0.75, 0.85, 0.9,
+                               0.95, 1.05, 1.1, 1.15, 1.25, 1.3, 1.35])
+        assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), test_value)
+
+    # NB: the following values are assuming that *xlim* is [0, 5]
+    params = [
+        (0, 0),  # no major tick => no minor tick either
+        (1, 0)   # a single major tick => no minor tick
+    ]
+
+    def test_first_and_last_minorticks(self):
+        """
+        Test that first and last minor tick appear as expected.
+        """
+        # This test is related to issue #22331
+        fig, ax = plt.subplots()
+        ax.set_xlim(-1.9, 1.9)
+        ax.xaxis.set_minor_locator(mticker.AutoMinorLocator())
+        test_value = np.array([-1.9, -1.8, -1.7, -1.6, -1.4, -1.3, -1.2, -1.1,
+                               -0.9, -0.8, -0.7, -0.6, -0.4, -0.3, -0.2, -0.1,
+                               0.1, 0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1.1,
+                               1.2, 1.3, 1.4, 1.6, 1.7, 1.8, 1.9])
+        assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), test_value)
+
+        ax.set_xlim(-5, 5)
+        test_value = np.array([-5.0, -4.5, -3.5, -3.0, -2.5, -1.5, -1.0, -0.5,
+                               0.5, 1.0, 1.5, 2.5, 3.0, 3.5, 4.5, 5.0])
+        assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), test_value)
+
+    @pytest.mark.parametrize('nb_majorticks, expected_nb_minorticks', params)
+    def test_low_number_of_majorticks(
+            self, nb_majorticks, expected_nb_minorticks):
+        # This test is related to issue #8804
+        fig, ax = plt.subplots()
+        xlims = (0, 5)  # easier to test the different code paths
+        ax.set_xlim(*xlims)
+        ax.set_xticks(np.linspace(xlims[0], xlims[1], nb_majorticks))
+        ax.minorticks_on()
+        ax.xaxis.set_minor_locator(mticker.AutoMinorLocator())
+        assert len(ax.xaxis.get_minorticklocs()) == expected_nb_minorticks
+
+    majorstep_minordivisions = [(1, 5),
+                                (2, 4),
+                                (2.5, 5),
+                                (5, 5),
+                                (10, 5)]
+
+    # This test is meant to verify the parameterization for
+    # test_number_of_minor_ticks
+    def test_using_all_default_major_steps(self):
+        with mpl.rc_context({'_internal.classic_mode': False}):
+            majorsteps = [x[0] for x in self.majorstep_minordivisions]
+            np.testing.assert_allclose(majorsteps,
+                                       mticker.AutoLocator()._steps)
+
+    @pytest.mark.parametrize('major_step, expected_nb_minordivisions',
+                             majorstep_minordivisions)
+    def test_number_of_minor_ticks(
+            self, major_step, expected_nb_minordivisions):
+        fig, ax = plt.subplots()
+        xlims = (0, major_step)
+        ax.set_xlim(*xlims)
+        ax.set_xticks(xlims)
+        ax.minorticks_on()
+        ax.xaxis.set_minor_locator(mticker.AutoMinorLocator())
+        nb_minor_divisions = len(ax.xaxis.get_minorticklocs()) + 1
+        assert nb_minor_divisions == expected_nb_minordivisions
+
+    limits = [(0, 1.39), (0, 0.139),
+              (0, 0.11e-19), (0, 0.112e-12),
+              (-2.0e-07, -3.3e-08), (1.20e-06, 1.42e-06),
+              (-1.34e-06, -1.44e-06), (-8.76e-07, -1.51e-06)]
+
+    reference = [
+        [0.05, 0.1, 0.15, 0.25, 0.3, 0.35, 0.45, 0.5, 0.55, 0.65, 0.7,
+         0.75, 0.85, 0.9, 0.95, 1.05, 1.1, 1.15, 1.25, 1.3, 1.35],
+        [0.005, 0.01, 0.015, 0.025, 0.03, 0.035, 0.045, 0.05, 0.055, 0.065,
+         0.07, 0.075, 0.085, 0.09, 0.095, 0.105, 0.11, 0.115, 0.125, 0.13,
+         0.135],
+        [5.00e-22, 1.00e-21, 1.50e-21, 2.50e-21, 3.00e-21, 3.50e-21, 4.50e-21,
+         5.00e-21, 5.50e-21, 6.50e-21, 7.00e-21, 7.50e-21, 8.50e-21, 9.00e-21,
+         9.50e-21, 1.05e-20, 1.10e-20],
+        [5.00e-15, 1.00e-14, 1.50e-14, 2.50e-14, 3.00e-14, 3.50e-14, 4.50e-14,
+         5.00e-14, 5.50e-14, 6.50e-14, 7.00e-14, 7.50e-14, 8.50e-14, 9.00e-14,
+         9.50e-14, 1.05e-13, 1.10e-13],
+        [-1.95e-07, -1.90e-07, -1.85e-07, -1.75e-07, -1.70e-07, -1.65e-07,
+         -1.55e-07, -1.50e-07, -1.45e-07, -1.35e-07, -1.30e-07, -1.25e-07,
+         -1.15e-07, -1.10e-07, -1.05e-07, -9.50e-08, -9.00e-08, -8.50e-08,
+         -7.50e-08, -7.00e-08, -6.50e-08, -5.50e-08, -5.00e-08, -4.50e-08,
+         -3.50e-08],
+        [1.21e-06, 1.22e-06, 1.23e-06, 1.24e-06, 1.26e-06, 1.27e-06, 1.28e-06,
+         1.29e-06, 1.31e-06, 1.32e-06, 1.33e-06, 1.34e-06, 1.36e-06, 1.37e-06,
+         1.38e-06, 1.39e-06, 1.41e-06, 1.42e-06],
+        [-1.435e-06, -1.430e-06, -1.425e-06, -1.415e-06, -1.410e-06,
+         -1.405e-06, -1.395e-06, -1.390e-06, -1.385e-06, -1.375e-06,
+         -1.370e-06, -1.365e-06, -1.355e-06, -1.350e-06, -1.345e-06],
+        [-1.48e-06, -1.46e-06, -1.44e-06, -1.42e-06, -1.38e-06, -1.36e-06,
+         -1.34e-06, -1.32e-06, -1.28e-06, -1.26e-06, -1.24e-06, -1.22e-06,
+         -1.18e-06, -1.16e-06, -1.14e-06, -1.12e-06, -1.08e-06, -1.06e-06,
+         -1.04e-06, -1.02e-06, -9.80e-07, -9.60e-07, -9.40e-07, -9.20e-07,
+         -8.80e-07]]
+
+    additional_data = list(zip(limits, reference))
+
+    @pytest.mark.parametrize('lim, ref', additional_data)
+    def test_additional(self, lim, ref):
+        fig, ax = plt.subplots()
+
+        ax.minorticks_on()
+        ax.grid(True, 'minor', 'y', linewidth=1)
+        ax.grid(True, 'major', color='k', linewidth=1)
+        ax.set_ylim(lim)
+
+        assert_almost_equal(ax.yaxis.get_ticklocs(minor=True), ref)
+
+    @pytest.mark.parametrize('use_rcparam', [False, True])
+    @pytest.mark.parametrize(
+        'lim, ref', [
+            ((0, 1.39),
+             [0.05, 0.1, 0.15, 0.25, 0.3, 0.35, 0.45, 0.5, 0.55, 0.65, 0.7,
+              0.75, 0.85, 0.9, 0.95, 1.05, 1.1, 1.15, 1.25, 1.3, 1.35]),
+            ((0, 0.139),
+             [0.005, 0.01, 0.015, 0.025, 0.03, 0.035, 0.045, 0.05, 0.055,
+              0.065, 0.07, 0.075, 0.085, 0.09, 0.095, 0.105, 0.11, 0.115,
+              0.125, 0.13, 0.135]),
+        ])
+    def test_number_of_minor_ticks_auto(self, lim, ref, use_rcparam):
+        if use_rcparam:
+            context = {'xtick.minor.ndivs': 'auto', 'ytick.minor.ndivs': 'auto'}
+            kwargs = {}
+        else:
+            context = {}
+            kwargs = {'n': 'auto'}
+
+        with mpl.rc_context(context):
+            fig, ax = plt.subplots()
+            ax.set_xlim(*lim)
+            ax.set_ylim(*lim)
+            ax.xaxis.set_minor_locator(mticker.AutoMinorLocator(**kwargs))
+            ax.yaxis.set_minor_locator(mticker.AutoMinorLocator(**kwargs))
+            assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), ref)
+            assert_almost_equal(ax.yaxis.get_ticklocs(minor=True), ref)
+
+    @pytest.mark.parametrize('use_rcparam', [False, True])
+    @pytest.mark.parametrize(
+        'n, lim, ref', [
+            (2, (0, 4), [0.5, 1.5, 2.5, 3.5]),
+            (4, (0, 2), [0.25, 0.5, 0.75, 1.25, 1.5, 1.75]),
+            (10, (0, 1), [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]),
+        ])
+    def test_number_of_minor_ticks_int(self, n, lim, ref, use_rcparam):
+        if use_rcparam:
+            context = {'xtick.minor.ndivs': n, 'ytick.minor.ndivs': n}
+            kwargs = {}
+        else:
+            context = {}
+            kwargs = {'n': n}
+
+        with mpl.rc_context(context):
+            fig, ax = plt.subplots()
+            ax.set_xlim(*lim)
+            ax.set_ylim(*lim)
+            ax.xaxis.set_major_locator(mticker.MultipleLocator(1))
+            ax.xaxis.set_minor_locator(mticker.AutoMinorLocator(**kwargs))
+            ax.yaxis.set_major_locator(mticker.MultipleLocator(1))
+            ax.yaxis.set_minor_locator(mticker.AutoMinorLocator(**kwargs))
+            assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), ref)
+            assert_almost_equal(ax.yaxis.get_ticklocs(minor=True), ref)
+
+
+class TestLogLocator:
+    def test_basic(self):
+        loc = mticker.LogLocator(numticks=5)
+        with pytest.raises(ValueError):
+            loc.tick_values(0, 1000)
+
+        test_value = np.array([1e-5, 1e-3, 1e-1, 1e+1, 1e+3, 1e+5, 1e+7])
+        assert_almost_equal(loc.tick_values(0.001, 1.1e5), test_value)
+
+        loc = mticker.LogLocator(base=2)
+        test_value = np.array([.5, 1., 2., 4., 8., 16., 32., 64., 128.])
+        assert_almost_equal(loc.tick_values(1, 100), test_value)
+
+    def test_polar_axes(self):
+        """
+        Polar Axes have a different ticking logic.
+        """
+        fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
+        ax.set_yscale('log')
+        ax.set_ylim(1, 100)
+        assert_array_equal(ax.get_yticks(), [10, 100, 1000])
+
+    def test_switch_to_autolocator(self):
+        loc = mticker.LogLocator(subs="all")
+        assert_array_equal(loc.tick_values(0.45, 0.55),
+                           [0.44, 0.46, 0.48, 0.5, 0.52, 0.54, 0.56])
+        # check that we *skip* 1.0, and 10, because this is a minor locator
+        loc = mticker.LogLocator(subs=np.arange(2, 10))
+        assert 1.0 not in loc.tick_values(0.9, 20.)
+        assert 10.0 not in loc.tick_values(0.9, 20.)
+
+    def test_set_params(self):
+        """
+        Create log locator with default value, base=10.0, subs=[1.0],
+        numticks=15 and change it to something else.
+        See if change was successful. Should not raise exception.
+        """
+        loc = mticker.LogLocator()
+        loc.set_params(numticks=7, subs=[2.0], base=4)
+        assert loc.numticks == 7
+        assert loc._base == 4
+        assert list(loc._subs) == [2.0]
+
+    def test_tick_values_correct(self):
+        ll = mticker.LogLocator(subs=(1, 2, 5))
+        test_value = np.array([1.e-01, 2.e-01, 5.e-01, 1.e+00, 2.e+00, 5.e+00,
+                               1.e+01, 2.e+01, 5.e+01, 1.e+02, 2.e+02, 5.e+02,
+                               1.e+03, 2.e+03, 5.e+03, 1.e+04, 2.e+04, 5.e+04,
+                               1.e+05, 2.e+05, 5.e+05, 1.e+06, 2.e+06, 5.e+06,
+                               1.e+07, 2.e+07, 5.e+07])
+        assert_almost_equal(ll.tick_values(1, 1e7), test_value)
+
+    def test_tick_values_not_empty(self):
+        mpl.rcParams['_internal.classic_mode'] = False
+        ll = mticker.LogLocator(subs=(1, 2, 5))
+        test_value = np.array([1.e-01, 2.e-01, 5.e-01, 1.e+00, 2.e+00, 5.e+00,
+                               1.e+01, 2.e+01, 5.e+01, 1.e+02, 2.e+02, 5.e+02,
+                               1.e+03, 2.e+03, 5.e+03, 1.e+04, 2.e+04, 5.e+04,
+                               1.e+05, 2.e+05, 5.e+05, 1.e+06, 2.e+06, 5.e+06,
+                               1.e+07, 2.e+07, 5.e+07, 1.e+08, 2.e+08, 5.e+08])
+        assert_almost_equal(ll.tick_values(1, 1e8), test_value)
+
+    def test_multiple_shared_axes(self):
+        rng = np.random.default_rng(19680801)
+        dummy_data = [rng.normal(size=100), [], []]
+        fig, axes = plt.subplots(len(dummy_data), sharex=True, sharey=True)
+
+        for ax, data in zip(axes.flatten(), dummy_data):
+            ax.hist(data, bins=10)
+            ax.set_yscale('log', nonpositive='clip')
+
+        for ax in axes.flatten():
+            assert all(ax.get_yticks() == axes[0].get_yticks())
+            assert ax.get_ylim() == axes[0].get_ylim()
+
+
+class TestNullLocator:
+    def test_set_params(self):
+        """
+        Create null locator, and attempt to call set_params() on it.
+        Should not exception, and should raise a warning.
+        """
+        loc = mticker.NullLocator()
+        with pytest.warns(UserWarning):
+            loc.set_params()
+
+
+class _LogitHelper:
+    @staticmethod
+    def isclose(x, y):
+        return (np.isclose(-np.log(1/x-1), -np.log(1/y-1))
+                if 0 < x < 1 and 0 < y < 1 else False)
+
+    @staticmethod
+    def assert_almost_equal(x, y):
+        ax = np.array(x)
+        ay = np.array(y)
+        assert np.all(ax > 0) and np.all(ax < 1)
+        assert np.all(ay > 0) and np.all(ay < 1)
+        lx = -np.log(1/ax-1)
+        ly = -np.log(1/ay-1)
+        assert_almost_equal(lx, ly)
+
+
+class TestLogitLocator:
+    ref_basic_limits = [
+        (5e-2, 1 - 5e-2),
+        (5e-3, 1 - 5e-3),
+        (5e-4, 1 - 5e-4),
+        (5e-5, 1 - 5e-5),
+        (5e-6, 1 - 5e-6),
+        (5e-7, 1 - 5e-7),
+        (5e-8, 1 - 5e-8),
+        (5e-9, 1 - 5e-9),
+    ]
+
+    ref_basic_major_ticks = [
+        1 / (10 ** np.arange(1, 3)),
+        1 / (10 ** np.arange(1, 4)),
+        1 / (10 ** np.arange(1, 5)),
+        1 / (10 ** np.arange(1, 6)),
+        1 / (10 ** np.arange(1, 7)),
+        1 / (10 ** np.arange(1, 8)),
+        1 / (10 ** np.arange(1, 9)),
+        1 / (10 ** np.arange(1, 10)),
+    ]
+
+    ref_maxn_limits = [(0.4, 0.6), (5e-2, 2e-1), (1 - 2e-1, 1 - 5e-2)]
+
+    @pytest.mark.parametrize(
+        "lims, expected_low_ticks",
+        zip(ref_basic_limits, ref_basic_major_ticks),
+    )
+    def test_basic_major(self, lims, expected_low_ticks):
+        """
+        Create logit locator with huge number of major, and tests ticks.
+        """
+        expected_ticks = sorted(
+            [*expected_low_ticks, 0.5, *(1 - expected_low_ticks)]
+        )
+        loc = mticker.LogitLocator(nbins=100)
+        _LogitHelper.assert_almost_equal(
+            loc.tick_values(*lims),
+            expected_ticks
+        )
+
+    @pytest.mark.parametrize("lims", ref_maxn_limits)
+    def test_maxn_major(self, lims):
+        """
+        When the axis is zoomed, the locator must have the same behavior as
+        MaxNLocator.
+        """
+        loc = mticker.LogitLocator(nbins=100)
+        maxn_loc = mticker.MaxNLocator(nbins=100, steps=[1, 2, 5, 10])
+        for nbins in (4, 8, 16):
+            loc.set_params(nbins=nbins)
+            maxn_loc.set_params(nbins=nbins)
+            ticks = loc.tick_values(*lims)
+            maxn_ticks = maxn_loc.tick_values(*lims)
+            assert ticks.shape == maxn_ticks.shape
+            assert (ticks == maxn_ticks).all()
+
+    @pytest.mark.parametrize("lims", ref_basic_limits + ref_maxn_limits)
+    def test_nbins_major(self, lims):
+        """
+        Assert logit locator for respecting nbins param.
+        """
+
+        basic_needed = int(-np.floor(np.log10(lims[0]))) * 2 + 1
+        loc = mticker.LogitLocator(nbins=100)
+        for nbins in range(basic_needed, 2, -1):
+            loc.set_params(nbins=nbins)
+            assert len(loc.tick_values(*lims)) <= nbins + 2
+
+    @pytest.mark.parametrize(
+        "lims, expected_low_ticks",
+        zip(ref_basic_limits, ref_basic_major_ticks),
+    )
+    def test_minor(self, lims, expected_low_ticks):
+        """
+        In large scale, test the presence of minor,
+        and assert no minor when major are subsampled.
+        """
+
+        expected_ticks = sorted(
+            [*expected_low_ticks, 0.5, *(1 - expected_low_ticks)]
+        )
+        basic_needed = len(expected_ticks)
+        loc = mticker.LogitLocator(nbins=100)
+        minor_loc = mticker.LogitLocator(nbins=100, minor=True)
+        for nbins in range(basic_needed, 2, -1):
+            loc.set_params(nbins=nbins)
+            minor_loc.set_params(nbins=nbins)
+            major_ticks = loc.tick_values(*lims)
+            minor_ticks = minor_loc.tick_values(*lims)
+            if len(major_ticks) >= len(expected_ticks):
+                # no subsample, we must have a lot of minors ticks
+                assert (len(major_ticks) - 1) * 5 < len(minor_ticks)
+            else:
+                # subsample
+                _LogitHelper.assert_almost_equal(
+                    sorted([*major_ticks, *minor_ticks]), expected_ticks)
+
+    def test_minor_attr(self):
+        loc = mticker.LogitLocator(nbins=100)
+        assert not loc.minor
+        loc.minor = True
+        assert loc.minor
+        loc.set_params(minor=False)
+        assert not loc.minor
+
+    acceptable_vmin_vmax = [
+        *(2.5 ** np.arange(-3, 0)),
+        *(1 - 2.5 ** np.arange(-3, 0)),
+    ]
+
+    @pytest.mark.parametrize(
+        "lims",
+        [
+            (a, b)
+            for (a, b) in itertools.product(acceptable_vmin_vmax, repeat=2)
+            if a != b
+        ],
+    )
+    def test_nonsingular_ok(self, lims):
+        """
+        Create logit locator, and test the nonsingular method for acceptable
+        value
+        """
+        loc = mticker.LogitLocator()
+        lims2 = loc.nonsingular(*lims)
+        assert sorted(lims) == sorted(lims2)
+
+    @pytest.mark.parametrize("okval", acceptable_vmin_vmax)
+    def test_nonsingular_nok(self, okval):
+        """
+        Create logit locator, and test the nonsingular method for non
+        acceptable value
+        """
+        loc = mticker.LogitLocator()
+        vmin, vmax = (-1, okval)
+        vmin2, vmax2 = loc.nonsingular(vmin, vmax)
+        assert vmax2 == vmax
+        assert 0 < vmin2 < vmax2
+        vmin, vmax = (okval, 2)
+        vmin2, vmax2 = loc.nonsingular(vmin, vmax)
+        assert vmin2 == vmin
+        assert vmin2 < vmax2 < 1
+
+
+class TestFixedLocator:
+    def test_set_params(self):
+        """
+        Create fixed locator with 5 nbins, and change it to something else.
+        See if change was successful.
+        Should not exception.
+        """
+        fixed = mticker.FixedLocator(range(0, 24), nbins=5)
+        fixed.set_params(nbins=7)
+        assert fixed.nbins == 7
 
 
-def test_use_offset():
-    for use_offset in [True, False]:
-        with matplotlib.rc_context({'axes.formatter.useoffset': use_offset}):
+class TestIndexLocator:
+    def test_set_params(self):
+        """
+        Create index locator with 3 base, 4 offset. and change it to something
+        else. See if change was successful.
+        Should not exception.
+        """
+        index = mticker.IndexLocator(base=3, offset=4)
+        index.set_params(base=7, offset=7)
+        assert index._base == 7
+        assert index.offset == 7
+
+
+class TestSymmetricalLogLocator:
+    def test_set_params(self):
+        """
+        Create symmetrical log locator with default subs =[1.0] numticks = 15,
+        and change it to something else.
+        See if change was successful.
+        Should not exception.
+        """
+        sym = mticker.SymmetricalLogLocator(base=10, linthresh=1)
+        sym.set_params(subs=[2.0], numticks=8)
+        assert sym._subs == [2.0]
+        assert sym.numticks == 8
+
+    @pytest.mark.parametrize(
+            'vmin, vmax, expected',
+            [
+                (0, 1, [0, 1]),
+                (-1, 1, [-1, 0, 1]),
+            ],
+    )
+    def test_values(self, vmin, vmax, expected):
+        # https://github.com/matplotlib/matplotlib/issues/25945
+        sym = mticker.SymmetricalLogLocator(base=10, linthresh=1)
+        ticks = sym.tick_values(vmin=vmin, vmax=vmax)
+        assert_array_equal(ticks, expected)
+
+    def test_subs(self):
+        sym = mticker.SymmetricalLogLocator(base=10, linthresh=1, subs=[2.0, 4.0])
+        sym.create_dummy_axis()
+        sym.axis.set_view_interval(-10, 10)
+        assert_array_equal(sym(), [-20, -40, -2, -4, 0, 2, 4, 20, 40])
+
+    def test_extending(self):
+        sym = mticker.SymmetricalLogLocator(base=10, linthresh=1)
+        sym.create_dummy_axis()
+        sym.axis.set_view_interval(8, 9)
+        assert (sym() == [1.0]).all()
+        sym.axis.set_view_interval(8, 12)
+        assert (sym() == [1.0, 10.0]).all()
+        assert sym.view_limits(10, 10) == (1, 100)
+        assert sym.view_limits(-10, -10) == (-100, -1)
+        assert sym.view_limits(0, 0) == (-0.001, 0.001)
+
+
+class TestAsinhLocator:
+    def test_init(self):
+        lctr = mticker.AsinhLocator(linear_width=2.718, numticks=19)
+        assert lctr.linear_width == 2.718
+        assert lctr.numticks == 19
+        assert lctr.base == 10
+
+    def test_set_params(self):
+        lctr = mticker.AsinhLocator(linear_width=5,
+                                    numticks=17, symthresh=0.125,
+                                    base=4, subs=(2.5, 3.25))
+        assert lctr.numticks == 17
+        assert lctr.symthresh == 0.125
+        assert lctr.base == 4
+        assert lctr.subs == (2.5, 3.25)
+
+        lctr.set_params(numticks=23)
+        assert lctr.numticks == 23
+        lctr.set_params(None)
+        assert lctr.numticks == 23
+
+        lctr.set_params(symthresh=0.5)
+        assert lctr.symthresh == 0.5
+        lctr.set_params(symthresh=None)
+        assert lctr.symthresh == 0.5
+
+        lctr.set_params(base=7)
+        assert lctr.base == 7
+        lctr.set_params(base=None)
+        assert lctr.base == 7
+
+        lctr.set_params(subs=(2, 4.125))
+        assert lctr.subs == (2, 4.125)
+        lctr.set_params(subs=None)
+        assert lctr.subs == (2, 4.125)
+        lctr.set_params(subs=[])
+        assert lctr.subs is None
+
+    def test_linear_values(self):
+        lctr = mticker.AsinhLocator(linear_width=100, numticks=11, base=0)
+
+        assert_almost_equal(lctr.tick_values(-1, 1),
+                            np.arange(-1, 1.01, 0.2))
+        assert_almost_equal(lctr.tick_values(-0.1, 0.1),
+                            np.arange(-0.1, 0.101, 0.02))
+        assert_almost_equal(lctr.tick_values(-0.01, 0.01),
+                            np.arange(-0.01, 0.0101, 0.002))
+
+    def test_wide_values(self):
+        lctr = mticker.AsinhLocator(linear_width=0.1, numticks=11, base=0)
+
+        assert_almost_equal(lctr.tick_values(-100, 100),
+                            [-100, -20, -5, -1, -0.2,
+                             0, 0.2, 1, 5, 20, 100])
+        assert_almost_equal(lctr.tick_values(-1000, 1000),
+                            [-1000, -100, -20, -3, -0.4,
+                             0, 0.4, 3, 20, 100, 1000])
+
+    def test_near_zero(self):
+        """Check that manually injected zero will supersede nearby tick"""
+        lctr = mticker.AsinhLocator(linear_width=100, numticks=3, base=0)
+
+        assert_almost_equal(lctr.tick_values(-1.1, 0.9), [-1.0, 0.0, 0.9])
+
+    def test_fallback(self):
+        lctr = mticker.AsinhLocator(1.0, numticks=11)
+
+        assert_almost_equal(lctr.tick_values(101, 102),
+                            np.arange(101, 102.01, 0.1))
+
+    def test_symmetrizing(self):
+        lctr = mticker.AsinhLocator(linear_width=1, numticks=3,
+                                    symthresh=0.25, base=0)
+        lctr.create_dummy_axis()
+
+        lctr.axis.set_view_interval(-1, 2)
+        assert_almost_equal(lctr(), [-1, 0, 2])
+
+        lctr.axis.set_view_interval(-1, 0.9)
+        assert_almost_equal(lctr(), [-1, 0, 1])
+
+        lctr.axis.set_view_interval(-0.85, 1.05)
+        assert_almost_equal(lctr(), [-1, 0, 1])
+
+        lctr.axis.set_view_interval(1, 1.1)
+        assert_almost_equal(lctr(), [1, 1.05, 1.1])
+
+    def test_base_rounding(self):
+        lctr10 = mticker.AsinhLocator(linear_width=1, numticks=8,
+                                      base=10, subs=(1, 3, 5))
+        assert_almost_equal(lctr10.tick_values(-110, 110),
+                            [-500, -300, -100, -50, -30, -10, -5, -3, -1,
+                             -0.5, -0.3, -0.1, 0, 0.1, 0.3, 0.5,
+                             1, 3, 5, 10, 30, 50, 100, 300, 500])
+
+        lctr5 = mticker.AsinhLocator(linear_width=1, numticks=20, base=5)
+        assert_almost_equal(lctr5.tick_values(-1050, 1050),
+                            [-625, -125, -25, -5, -1, -0.2, 0,
+                             0.2, 1, 5, 25, 125, 625])
+
+
+class TestScalarFormatter:
+    offset_data = [
+        (123, 189, 0),
+        (-189, -123, 0),
+        (12341, 12349, 12340),
+        (-12349, -12341, -12340),
+        (99999.5, 100010.5, 100000),
+        (-100010.5, -99999.5, -100000),
+        (99990.5, 100000.5, 100000),
+        (-100000.5, -99990.5, -100000),
+        (1233999, 1234001, 1234000),
+        (-1234001, -1233999, -1234000),
+        (1, 1, 1),
+        (123, 123, 0),
+        # Test cases courtesy of @WeatherGod
+        (.4538, .4578, .45),
+        (3789.12, 3783.1, 3780),
+        (45124.3, 45831.75, 45000),
+        (0.000721, 0.0007243, 0.00072),
+        (12592.82, 12591.43, 12590),
+        (9., 12., 0),
+        (900., 1200., 0),
+        (1900., 1200., 0),
+        (0.99, 1.01, 1),
+        (9.99, 10.01, 10),
+        (99.99, 100.01, 100),
+        (5.99, 6.01, 6),
+        (15.99, 16.01, 16),
+        (-0.452, 0.492, 0),
+        (-0.492, 0.492, 0),
+        (12331.4, 12350.5, 12300),
+        (-12335.3, 12335.3, 0),
+    ]
+
+    use_offset_data = [True, False]
+
+    useMathText_data = [True, False]
+
+    #  (sci_type, scilimits, lim, orderOfMag, fewticks)
+    scilimits_data = [
+        (False, (0, 0), (10.0, 20.0), 0, False),
+        (True, (-2, 2), (-10, 20), 0, False),
+        (True, (-2, 2), (-20, 10), 0, False),
+        (True, (-2, 2), (-110, 120), 2, False),
+        (True, (-2, 2), (-120, 110), 2, False),
+        (True, (-2, 2), (-.001, 0.002), -3, False),
+        (True, (-7, 7), (0.18e10, 0.83e10), 9, True),
+        (True, (0, 0), (-1e5, 1e5), 5, False),
+        (True, (6, 6), (-1e5, 1e5), 6, False),
+    ]
+
+    cursor_data = [
+        [0., "0.000"],
+        [0.0123, "0.012"],
+        [0.123, "0.123"],
+        [1.23,  "1.230"],
+        [12.3, "12.300"],
+    ]
+
+    format_data = [
+        (.1, "1e-1"),
+        (.11, "1.1e-1"),
+        (1e8, "1e8"),
+        (1.1e8, "1.1e8"),
+    ]
+
+    @pytest.mark.parametrize('unicode_minus, result',
+                             [(True, "\N{MINUS SIGN}1"), (False, "-1")])
+    def test_unicode_minus(self, unicode_minus, result):
+        mpl.rcParams['axes.unicode_minus'] = unicode_minus
+        assert (
+            plt.gca().xaxis.get_major_formatter().format_data_short(-1).strip()
+            == result)
+
+    @pytest.mark.parametrize('left, right, offset', offset_data)
+    def test_offset_value(self, left, right, offset):
+        fig, ax = plt.subplots()
+        formatter = ax.xaxis.get_major_formatter()
+
+        with (pytest.warns(UserWarning, match='Attempting to set identical')
+              if left == right else nullcontext()):
+            ax.set_xlim(left, right)
+        ax.xaxis._update_ticks()
+        assert formatter.offset == offset
+
+        with (pytest.warns(UserWarning, match='Attempting to set identical')
+              if left == right else nullcontext()):
+            ax.set_xlim(right, left)
+        ax.xaxis._update_ticks()
+        assert formatter.offset == offset
+
+    @pytest.mark.parametrize('use_offset', use_offset_data)
+    def test_use_offset(self, use_offset):
+        with mpl.rc_context({'axes.formatter.useoffset': use_offset}):
+            tmp_form = mticker.ScalarFormatter()
+            assert use_offset == tmp_form.get_useOffset()
+            assert tmp_form.offset == 0
+
+    @pytest.mark.parametrize('use_math_text', useMathText_data)
+    def test_useMathText(self, use_math_text):
+        with mpl.rc_context({'axes.formatter.use_mathtext': use_math_text}):
             tmp_form = mticker.ScalarFormatter()
-            nose.tools.assert_equal(use_offset, tmp_form.get_useOffset())
+            assert use_math_text == tmp_form.get_useMathText()
+
+    def test_set_use_offset_float(self):
+        tmp_form = mticker.ScalarFormatter()
+        tmp_form.set_useOffset(0.5)
+        assert not tmp_form.get_useOffset()
+        assert tmp_form.offset == 0.5
+
+    def test_set_use_offset_bool(self):
+        tmp_form = mticker.ScalarFormatter()
+        tmp_form.set_useOffset(True)
+        assert tmp_form.get_useOffset()
+        assert tmp_form.offset == 0
+
+        tmp_form.set_useOffset(False)
+        assert not tmp_form.get_useOffset()
+        assert tmp_form.offset == 0
+
+    def test_set_use_offset_int(self):
+        tmp_form = mticker.ScalarFormatter()
+        tmp_form.set_useOffset(1)
+        assert not tmp_form.get_useOffset()
+        assert tmp_form.offset == 1
+
+    def test_use_locale(self):
+        conv = locale.localeconv()
+        sep = conv['thousands_sep']
+        if not sep or conv['grouping'][-1:] in ([], [locale.CHAR_MAX]):
+            pytest.skip('Locale does not apply grouping')  # pragma: no cover
+
+        with mpl.rc_context({'axes.formatter.use_locale': True}):
+            tmp_form = mticker.ScalarFormatter()
+            assert tmp_form.get_useLocale()
+
+            tmp_form.create_dummy_axis()
+            tmp_form.axis.set_data_interval(0, 10)
+            tmp_form.set_locs([1, 2, 3])
+            assert sep in tmp_form(1e9)
+
+    @pytest.mark.parametrize(
+        'sci_type, scilimits, lim, orderOfMag, fewticks', scilimits_data)
+    def test_scilimits(self, sci_type, scilimits, lim, orderOfMag, fewticks):
+        tmp_form = mticker.ScalarFormatter()
+        tmp_form.set_scientific(sci_type)
+        tmp_form.set_powerlimits(scilimits)
+        fig, ax = plt.subplots()
+        ax.yaxis.set_major_formatter(tmp_form)
+        ax.set_ylim(*lim)
+        if fewticks:
+            ax.yaxis.set_major_locator(mticker.MaxNLocator(4))
+
+        tmp_form.set_locs(ax.yaxis.get_majorticklocs())
+        assert orderOfMag == tmp_form.orderOfMagnitude
+
+    @pytest.mark.parametrize('value, expected', format_data)
+    def test_format_data(self, value, expected):
+        mpl.rcParams['axes.unicode_minus'] = False
+        sf = mticker.ScalarFormatter()
+        assert sf.format_data(value) == expected
+
+    @pytest.mark.parametrize('data, expected', cursor_data)
+    def test_cursor_precision(self, data, expected):
+        fig, ax = plt.subplots()
+        ax.set_xlim(-1, 1)  # Pointing precision of 0.001.
+        fmt = ax.xaxis.get_major_formatter().format_data_short
+        assert fmt(data) == expected
+
+    @pytest.mark.parametrize('data, expected', cursor_data)
+    def test_cursor_dummy_axis(self, data, expected):
+        # Issue #17624
+        sf = mticker.ScalarFormatter()
+        sf.create_dummy_axis()
+        sf.axis.set_view_interval(0, 10)
+        fmt = sf.format_data_short
+        assert fmt(data) == expected
+        assert sf.axis.get_tick_space() == 9
+        assert sf.axis.get_minpos() == 0
+
+    def test_mathtext_ticks(self):
+        mpl.rcParams.update({
+            'font.family': 'serif',
+            'font.serif': 'cmr10',
+            'axes.formatter.use_mathtext': False
+        })
+
+        if parse_version(pytest.__version__).major < 8:
+            with pytest.warns(UserWarning, match='cmr10 font should ideally'):
+                fig, ax = plt.subplots()
+                ax.set_xticks([-1, 0, 1])
+                fig.canvas.draw()
+        else:
+            with (pytest.warns(UserWarning, match="Glyph 8722"),
+                  pytest.warns(UserWarning, match='cmr10 font should ideally')):
+                fig, ax = plt.subplots()
+                ax.set_xticks([-1, 0, 1])
+                fig.canvas.draw()
+
+    def test_cmr10_substitutions(self, caplog):
+        mpl.rcParams.update({
+            'font.family': 'cmr10',
+            'mathtext.fontset': 'cm',
+            'axes.formatter.use_mathtext': True,
+        })
+
+        # Test that it does not log a warning about missing glyphs.
+        with caplog.at_level(logging.WARNING, logger='matplotlib.mathtext'):
+            fig, ax = plt.subplots()
+            ax.plot([-0.03, 0.05], [40, 0.05])
+            ax.set_yscale('log')
+            yticks = [0.02, 0.3, 4, 50]
+            formatter = mticker.LogFormatterSciNotation()
+            ax.set_yticks(yticks, map(formatter, yticks))
+            fig.canvas.draw()
+            assert not caplog.text
+
+    def test_empty_locs(self):
+        sf = mticker.ScalarFormatter()
+        sf.set_locs([])
+        assert sf(0.5) == ''
+
+
+class TestLogFormatterExponent:
+    param_data = [
+        (True, 4, np.arange(-3, 4.0), np.arange(-3, 4.0),
+         ['-3', '-2', '-1', '0', '1', '2', '3']),
+        # With labelOnlyBase=False, non-integer powers should be nicely
+        # formatted.
+        (False, 10, np.array([0.1, 0.00001, np.pi, 0.2, -0.2, -0.00001]),
+         range(6), ['0.1', '1e-05', '3.14', '0.2', '-0.2', '-1e-05']),
+        (False, 50, np.array([3, 5, 12, 42], dtype=float), range(6),
+         ['3', '5', '12', '42']),
+    ]
+
+    base_data = [2.0, 5.0, 10.0, np.pi, np.e]
+
+    @pytest.mark.parametrize(
+            'labelOnlyBase, exponent, locs, positions, expected', param_data)
+    @pytest.mark.parametrize('base', base_data)
+    def test_basic(self, labelOnlyBase, base, exponent, locs, positions,
+                   expected):
+        formatter = mticker.LogFormatterExponent(base=base,
+                                                 labelOnlyBase=labelOnlyBase)
+        formatter.create_dummy_axis()
+        formatter.axis.set_view_interval(1, base**exponent)
+        vals = base**locs
+        labels = [formatter(x, pos) for (x, pos) in zip(vals, positions)]
+        expected = [label.replace('-', '\N{Minus Sign}') for label in expected]
+        assert labels == expected
+
+    def test_blank(self):
+        # Should be a blank string for non-integer powers if labelOnlyBase=True
+        formatter = mticker.LogFormatterExponent(base=10, labelOnlyBase=True)
+        formatter.create_dummy_axis()
+        formatter.axis.set_view_interval(1, 10)
+        assert formatter(10**0.1) == ''
+
+
+class TestLogFormatterMathtext:
+    fmt = mticker.LogFormatterMathtext()
+    test_data = [
+        (0, 1, '$\\mathdefault{10^{0}}$'),
+        (0, 1e-2, '$\\mathdefault{10^{-2}}$'),
+        (0, 1e2, '$\\mathdefault{10^{2}}$'),
+        (3, 1, '$\\mathdefault{1}$'),
+        (3, 1e-2, '$\\mathdefault{0.01}$'),
+        (3, 1e2, '$\\mathdefault{100}$'),
+        (3, 1e-3, '$\\mathdefault{10^{-3}}$'),
+        (3, 1e3, '$\\mathdefault{10^{3}}$'),
+    ]
+
+    @pytest.mark.parametrize('min_exponent, value, expected', test_data)
+    def test_min_exponent(self, min_exponent, value, expected):
+        with mpl.rc_context({'axes.formatter.min_exponent': min_exponent}):
+            assert self.fmt(value) == expected
+
+
+class TestLogFormatterSciNotation:
+    test_data = [
+        (2, 0.03125, '$\\mathdefault{2^{-5}}$'),
+        (2, 1, '$\\mathdefault{2^{0}}$'),
+        (2, 32, '$\\mathdefault{2^{5}}$'),
+        (2, 0.0375, '$\\mathdefault{1.2\\times2^{-5}}$'),
+        (2, 1.2, '$\\mathdefault{1.2\\times2^{0}}$'),
+        (2, 38.4, '$\\mathdefault{1.2\\times2^{5}}$'),
+        (10, -1, '$\\mathdefault{-10^{0}}$'),
+        (10, 1e-05, '$\\mathdefault{10^{-5}}$'),
+        (10, 1, '$\\mathdefault{10^{0}}$'),
+        (10, 100000, '$\\mathdefault{10^{5}}$'),
+        (10, 2e-05, '$\\mathdefault{2\\times10^{-5}}$'),
+        (10, 2, '$\\mathdefault{2\\times10^{0}}$'),
+        (10, 200000, '$\\mathdefault{2\\times10^{5}}$'),
+        (10, 5e-05, '$\\mathdefault{5\\times10^{-5}}$'),
+        (10, 5, '$\\mathdefault{5\\times10^{0}}$'),
+        (10, 500000, '$\\mathdefault{5\\times10^{5}}$'),
+    ]
+
+    @mpl.style.context('default')
+    @pytest.mark.parametrize('base, value, expected', test_data)
+    def test_basic(self, base, value, expected):
+        formatter = mticker.LogFormatterSciNotation(base=base)
+        with mpl.rc_context({'text.usetex': False}):
+            assert formatter(value) == expected
+
+
+class TestLogFormatter:
+    pprint_data = [
+        (3.141592654e-05, 0.001, '3.142e-5'),
+        (0.0003141592654, 0.001, '3.142e-4'),
+        (0.003141592654, 0.001, '3.142e-3'),
+        (0.03141592654, 0.001, '3.142e-2'),
+        (0.3141592654, 0.001, '3.142e-1'),
+        (3.141592654, 0.001, '3.142'),
+        (31.41592654, 0.001, '3.142e1'),
+        (314.1592654, 0.001, '3.142e2'),
+        (3141.592654, 0.001, '3.142e3'),
+        (31415.92654, 0.001, '3.142e4'),
+        (314159.2654, 0.001, '3.142e5'),
+        (1e-05, 0.001, '1e-5'),
+        (0.0001, 0.001, '1e-4'),
+        (0.001, 0.001, '1e-3'),
+        (0.01, 0.001, '1e-2'),
+        (0.1, 0.001, '1e-1'),
+        (1, 0.001, '1'),
+        (10, 0.001, '10'),
+        (100, 0.001, '100'),
+        (1000, 0.001, '1000'),
+        (10000, 0.001, '1e4'),
+        (100000, 0.001, '1e5'),
+        (3.141592654e-05, 0.015, '0'),
+        (0.0003141592654, 0.015, '0'),
+        (0.003141592654, 0.015, '0.003'),
+        (0.03141592654, 0.015, '0.031'),
+        (0.3141592654, 0.015, '0.314'),
+        (3.141592654, 0.015, '3.142'),
+        (31.41592654, 0.015, '31.416'),
+        (314.1592654, 0.015, '314.159'),
+        (3141.592654, 0.015, '3141.593'),
+        (31415.92654, 0.015, '31415.927'),
+        (314159.2654, 0.015, '314159.265'),
+        (1e-05, 0.015, '0'),
+        (0.0001, 0.015, '0'),
+        (0.001, 0.015, '0.001'),
+        (0.01, 0.015, '0.01'),
+        (0.1, 0.015, '0.1'),
+        (1, 0.015, '1'),
+        (10, 0.015, '10'),
+        (100, 0.015, '100'),
+        (1000, 0.015, '1000'),
+        (10000, 0.015, '10000'),
+        (100000, 0.015, '100000'),
+        (3.141592654e-05, 0.5, '0'),
+        (0.0003141592654, 0.5, '0'),
+        (0.003141592654, 0.5, '0.003'),
+        (0.03141592654, 0.5, '0.031'),
+        (0.3141592654, 0.5, '0.314'),
+        (3.141592654, 0.5, '3.142'),
+        (31.41592654, 0.5, '31.416'),
+        (314.1592654, 0.5, '314.159'),
+        (3141.592654, 0.5, '3141.593'),
+        (31415.92654, 0.5, '31415.927'),
+        (314159.2654, 0.5, '314159.265'),
+        (1e-05, 0.5, '0'),
+        (0.0001, 0.5, '0'),
+        (0.001, 0.5, '0.001'),
+        (0.01, 0.5, '0.01'),
+        (0.1, 0.5, '0.1'),
+        (1, 0.5, '1'),
+        (10, 0.5, '10'),
+        (100, 0.5, '100'),
+        (1000, 0.5, '1000'),
+        (10000, 0.5, '10000'),
+        (100000, 0.5, '100000'),
+        (3.141592654e-05, 5, '0'),
+        (0.0003141592654, 5, '0'),
+        (0.003141592654, 5, '0'),
+        (0.03141592654, 5, '0.03'),
+        (0.3141592654, 5, '0.31'),
+        (3.141592654, 5, '3.14'),
+        (31.41592654, 5, '31.42'),
+        (314.1592654, 5, '314.16'),
+        (3141.592654, 5, '3141.59'),
+        (31415.92654, 5, '31415.93'),
+        (314159.2654, 5, '314159.27'),
+        (1e-05, 5, '0'),
+        (0.0001, 5, '0'),
+        (0.001, 5, '0'),
+        (0.01, 5, '0.01'),
+        (0.1, 5, '0.1'),
+        (1, 5, '1'),
+        (10, 5, '10'),
+        (100, 5, '100'),
+        (1000, 5, '1000'),
+        (10000, 5, '10000'),
+        (100000, 5, '100000'),
+        (3.141592654e-05, 100, '0'),
+        (0.0003141592654, 100, '0'),
+        (0.003141592654, 100, '0'),
+        (0.03141592654, 100, '0'),
+        (0.3141592654, 100, '0.3'),
+        (3.141592654, 100, '3.1'),
+        (31.41592654, 100, '31.4'),
+        (314.1592654, 100, '314.2'),
+        (3141.592654, 100, '3141.6'),
+        (31415.92654, 100, '31415.9'),
+        (314159.2654, 100, '314159.3'),
+        (1e-05, 100, '0'),
+        (0.0001, 100, '0'),
+        (0.001, 100, '0'),
+        (0.01, 100, '0'),
+        (0.1, 100, '0.1'),
+        (1, 100, '1'),
+        (10, 100, '10'),
+        (100, 100, '100'),
+        (1000, 100, '1000'),
+        (10000, 100, '10000'),
+        (100000, 100, '100000'),
+        (3.141592654e-05, 1000000.0, '3.1e-5'),
+        (0.0003141592654, 1000000.0, '3.1e-4'),
+        (0.003141592654, 1000000.0, '3.1e-3'),
+        (0.03141592654, 1000000.0, '3.1e-2'),
+        (0.3141592654, 1000000.0, '3.1e-1'),
+        (3.141592654, 1000000.0, '3.1'),
+        (31.41592654, 1000000.0, '3.1e1'),
+        (314.1592654, 1000000.0, '3.1e2'),
+        (3141.592654, 1000000.0, '3.1e3'),
+        (31415.92654, 1000000.0, '3.1e4'),
+        (314159.2654, 1000000.0, '3.1e5'),
+        (1e-05, 1000000.0, '1e-5'),
+        (0.0001, 1000000.0, '1e-4'),
+        (0.001, 1000000.0, '1e-3'),
+        (0.01, 1000000.0, '1e-2'),
+        (0.1, 1000000.0, '1e-1'),
+        (1, 1000000.0, '1'),
+        (10, 1000000.0, '10'),
+        (100, 1000000.0, '100'),
+        (1000, 1000000.0, '1000'),
+        (10000, 1000000.0, '1e4'),
+        (100000, 1000000.0, '1e5'),
+    ]
+
+    @pytest.mark.parametrize('value, domain, expected', pprint_data)
+    def test_pprint(self, value, domain, expected):
+        fmt = mticker.LogFormatter()
+        label = fmt._pprint_val(value, domain)
+        assert label == expected
+
+    @pytest.mark.parametrize('value, long, short', [
+        (0.0, "0", "0"),
+        (0, "0", "0"),
+        (-1.0, "-10^0", "-1"),
+        (2e-10, "2x10^-10", "2e-10"),
+        (1e10, "10^10", "1e+10"),
+    ])
+    def test_format_data(self, value, long, short):
+        fig, ax = plt.subplots()
+        ax.set_xscale('log')
+        fmt = ax.xaxis.get_major_formatter()
+        assert fmt.format_data(value) == long
+        assert fmt.format_data_short(value) == short
+
+    def _sub_labels(self, axis, subs=()):
+        """Test whether locator marks subs to be labeled."""
+        fmt = axis.get_minor_formatter()
+        minor_tlocs = axis.get_minorticklocs()
+        fmt.set_locs(minor_tlocs)
+        coefs = minor_tlocs / 10**(np.floor(np.log10(minor_tlocs)))
+        label_expected = [round(c) in subs for c in coefs]
+        label_test = [fmt(x) != '' for x in minor_tlocs]
+        assert label_test == label_expected
+
+    @mpl.style.context('default')
+    def test_sublabel(self):
+        # test label locator
+        fig, ax = plt.subplots()
+        ax.set_xscale('log')
+        ax.xaxis.set_major_locator(mticker.LogLocator(base=10, subs=[]))
+        ax.xaxis.set_minor_locator(mticker.LogLocator(base=10,
+                                                      subs=np.arange(2, 10)))
+        ax.xaxis.set_major_formatter(mticker.LogFormatter(labelOnlyBase=True))
+        ax.xaxis.set_minor_formatter(mticker.LogFormatter(labelOnlyBase=False))
+        # axis range above 3 decades, only bases are labeled
+        ax.set_xlim(1, 1e4)
+        fmt = ax.xaxis.get_major_formatter()
+        fmt.set_locs(ax.xaxis.get_majorticklocs())
+        show_major_labels = [fmt(x) != ''
+                             for x in ax.xaxis.get_majorticklocs()]
+        assert np.all(show_major_labels)
+        self._sub_labels(ax.xaxis, subs=[])
+
+        # For the next two, if the numdec threshold in LogFormatter.set_locs
+        # were 3, then the label sub would be 3 for 2-3 decades and (2, 5)
+        # for 1-2 decades.  With a threshold of 1, subs are not labeled.
+        # axis range at 2 to 3 decades
+        ax.set_xlim(1, 800)
+        self._sub_labels(ax.xaxis, subs=[])
+
+        # axis range at 1 to 2 decades
+        ax.set_xlim(1, 80)
+        self._sub_labels(ax.xaxis, subs=[])
+
+        # axis range slightly more than 1 decade, but spanning a single major
+        # tick, label subs 2, 3, 4, 6
+        ax.set_xlim(.8, 9)
+        self._sub_labels(ax.xaxis, subs=[2, 3, 4, 6])
+
+        # axis range at 0.4 to 1 decade, label subs 2, 3, 4, 6
+        ax.set_xlim(1, 8)
+        self._sub_labels(ax.xaxis, subs=[2, 3, 4, 6])
+
+        # axis range at 0 to 0.4 decade, label all
+        ax.set_xlim(0.5, 0.9)
+        self._sub_labels(ax.xaxis, subs=np.arange(2, 10, dtype=int))
+
+    @pytest.mark.parametrize('val', [1, 10, 100, 1000])
+    def test_LogFormatter_call(self, val):
+        # test _num_to_string method used in __call__
+        temp_lf = mticker.LogFormatter()
+        temp_lf.create_dummy_axis()
+        temp_lf.axis.set_view_interval(1, 10)
+        assert temp_lf(val) == str(val)
+
+    @pytest.mark.parametrize('val', [1e-323, 2e-323, 10e-323, 11e-323])
+    def test_LogFormatter_call_tiny(self, val):
+        # test coeff computation in __call__
+        temp_lf = mticker.LogFormatter()
+        temp_lf.create_dummy_axis()
+        temp_lf.axis.set_view_interval(1, 10)
+        temp_lf(val)
+
+
+class TestLogitFormatter:
+    @staticmethod
+    def logit_deformatter(string):
+        r"""
+        Parser to convert string as r'$\mathdefault{1.41\cdot10^{-4}}$' in
+        float 1.41e-4, as '0.5' or as r'$\mathdefault{\frac{1}{2}}$' in float
+        0.5,
+        """
+        match = re.match(
+            r"[^\d]*"
+            r"(?P<comp>1-)?"
+            r"(?P<mant>\d*\.?\d*)?"
+            r"(?:\\cdot)?"
+            r"(?:10\^\{(?P<expo>-?\d*)})?"
+            r"[^\d]*$",
+            string,
+        )
+        if match:
+            comp = match["comp"] is not None
+            mantissa = float(match["mant"]) if match["mant"] else 1
+            expo = int(match["expo"]) if match["expo"] is not None else 0
+            value = mantissa * 10 ** expo
+            if match["mant"] or match["expo"] is not None:
+                if comp:
+                    return 1 - value
+                return value
+        match = re.match(
+            r"[^\d]*\\frac\{(?P<num>\d+)\}\{(?P<deno>\d+)\}[^\d]*$", string
+        )
+        if match:
+            num, deno = float(match["num"]), float(match["deno"])
+            return num / deno
+        raise ValueError("Not formatted by LogitFormatter")
+
+    @pytest.mark.parametrize(
+        "fx, x",
+        [
+            (r"STUFF0.41OTHERSTUFF", 0.41),
+            (r"STUFF1.41\cdot10^{-2}OTHERSTUFF", 1.41e-2),
+            (r"STUFF1-0.41OTHERSTUFF", 1 - 0.41),
+            (r"STUFF1-1.41\cdot10^{-2}OTHERSTUFF", 1 - 1.41e-2),
+            (r"STUFF", None),
+            (r"STUFF12.4e-3OTHERSTUFF", None),
+        ],
+    )
+    def test_logit_deformater(self, fx, x):
+        if x is None:
+            with pytest.raises(ValueError):
+                TestLogitFormatter.logit_deformatter(fx)
+        else:
+            y = TestLogitFormatter.logit_deformatter(fx)
+            assert _LogitHelper.isclose(x, y)
+
+    decade_test = sorted(
+        [10 ** (-i) for i in range(1, 10)]
+        + [1 - 10 ** (-i) for i in range(1, 10)]
+        + [1 / 2]
+    )
+
+    @pytest.mark.parametrize("x", decade_test)
+    def test_basic(self, x):
+        """
+        Test the formatted value correspond to the value for ideal ticks in
+        logit space.
+        """
+        formatter = mticker.LogitFormatter(use_overline=False)
+        formatter.set_locs(self.decade_test)
+        s = formatter(x)
+        x2 = TestLogitFormatter.logit_deformatter(s)
+        assert _LogitHelper.isclose(x, x2)
+
+    @pytest.mark.parametrize("x", (-1, -0.5, -0.1, 1.1, 1.5, 2))
+    def test_invalid(self, x):
+        """
+        Test that invalid value are formatted with empty string without
+        raising exception.
+        """
+        formatter = mticker.LogitFormatter(use_overline=False)
+        formatter.set_locs(self.decade_test)
+        s = formatter(x)
+        assert s == ""
+
+    @pytest.mark.parametrize("x", 1 / (1 + np.exp(-np.linspace(-7, 7, 10))))
+    def test_variablelength(self, x):
+        """
+        The format length should change depending on the neighbor labels.
+        """
+        formatter = mticker.LogitFormatter(use_overline=False)
+        for N in (10, 20, 50, 100, 200, 1000, 2000, 5000, 10000):
+            if x + 1 / N < 1:
+                formatter.set_locs([x - 1 / N, x, x + 1 / N])
+                sx = formatter(x)
+                sx1 = formatter(x + 1 / N)
+                d = (
+                    TestLogitFormatter.logit_deformatter(sx1)
+                    - TestLogitFormatter.logit_deformatter(sx)
+                )
+                assert 0 < d < 2 / N
+
+    lims_minor_major = [
+        (True, (5e-8, 1 - 5e-8), ((25, False), (75, False))),
+        (True, (5e-5, 1 - 5e-5), ((25, False), (75, True))),
+        (True, (5e-2, 1 - 5e-2), ((25, True), (75, True))),
+        (False, (0.75, 0.76, 0.77), ((7, True), (25, True), (75, True))),
+    ]
+
+    @pytest.mark.parametrize("method, lims, cases", lims_minor_major)
+    def test_minor_vs_major(self, method, lims, cases):
+        """
+        Test minor/major displays.
+        """
+
+        if method:
+            min_loc = mticker.LogitLocator(minor=True)
+            ticks = min_loc.tick_values(*lims)
+        else:
+            ticks = np.array(lims)
+        min_form = mticker.LogitFormatter(minor=True)
+        for threshold, has_minor in cases:
+            min_form.set_minor_threshold(threshold)
+            formatted = min_form.format_ticks(ticks)
+            labelled = [f for f in formatted if len(f) > 0]
+            if has_minor:
+                assert len(labelled) > 0, (threshold, has_minor)
+            else:
+                assert len(labelled) == 0, (threshold, has_minor)
+
+    def test_minor_number(self):
+        """
+        Test the parameter minor_number
+        """
+        min_loc = mticker.LogitLocator(minor=True)
+        min_form = mticker.LogitFormatter(minor=True)
+        ticks = min_loc.tick_values(5e-2, 1 - 5e-2)
+        for minor_number in (2, 4, 8, 16):
+            min_form.set_minor_number(minor_number)
+            formatted = min_form.format_ticks(ticks)
+            labelled = [f for f in formatted if len(f) > 0]
+            assert len(labelled) == minor_number
+
+    def test_use_overline(self):
+        """
+        Test the parameter use_overline
+        """
+        x = 1 - 1e-2
+        fx1 = r"$\mathdefault{1-10^{-2}}$"
+        fx2 = r"$\mathdefault{\overline{10^{-2}}}$"
+        form = mticker.LogitFormatter(use_overline=False)
+        assert form(x) == fx1
+        form.use_overline(True)
+        assert form(x) == fx2
+        form.use_overline(False)
+        assert form(x) == fx1
+
+    def test_one_half(self):
+        """
+        Test the parameter one_half
+        """
+        form = mticker.LogitFormatter()
+        assert r"\frac{1}{2}" in form(1/2)
+        form.set_one_half("1/2")
+        assert "1/2" in form(1/2)
+        form.set_one_half("one half")
+        assert "one half" in form(1/2)
+
+    @pytest.mark.parametrize("N", (100, 253, 754))
+    def test_format_data_short(self, N):
+        locs = np.linspace(0, 1, N)[1:-1]
+        form = mticker.LogitFormatter()
+        for x in locs:
+            fx = form.format_data_short(x)
+            if fx.startswith("1-"):
+                x2 = 1 - float(fx[2:])
+            else:
+                x2 = float(fx)
+            assert abs(x - x2) < 1 / N
+
+
+class TestFormatStrFormatter:
+    def test_basic(self):
+        # test % style formatter
+        tmp_form = mticker.FormatStrFormatter('%05d')
+        assert '00002' == tmp_form(2)
+
+
+class TestStrMethodFormatter:
+    test_data = [
+        ('{x:05d}', (2,), False, '00002'),
+        ('{x:05d}', (2,), True, '00002'),
+        ('{x:05d}', (-2,), False, '-0002'),
+        ('{x:05d}', (-2,), True, '\N{MINUS SIGN}0002'),
+        ('{x:03d}-{pos:02d}', (2, 1), False, '002-01'),
+        ('{x:03d}-{pos:02d}', (2, 1), True, '002-01'),
+        ('{x:03d}-{pos:02d}', (-2, 1), False, '-02-01'),
+        ('{x:03d}-{pos:02d}', (-2, 1), True, '\N{MINUS SIGN}02-01'),
+    ]
+
+    @pytest.mark.parametrize('format, input, unicode_minus, expected', test_data)
+    def test_basic(self, format, input, unicode_minus, expected):
+        with mpl.rc_context({"axes.unicode_minus": unicode_minus}):
+            fmt = mticker.StrMethodFormatter(format)
+            assert fmt(*input) == expected
+
+
+class TestEngFormatter:
+    # (unicode_minus, input, expected) where ''expected'' corresponds to the
+    # outputs respectively returned when (places=None, places=0, places=2)
+    # unicode_minus is a boolean value for the rcParam['axes.unicode_minus']
+    raw_format_data = [
+        (False, -1234.56789, ('-1.23457 k', '-1 k', '-1.23 k')),
+        (True, -1234.56789, ('\N{MINUS SIGN}1.23457 k', '\N{MINUS SIGN}1 k',
+                             '\N{MINUS SIGN}1.23 k')),
+        (False, -1.23456789, ('-1.23457', '-1', '-1.23')),
+        (True, -1.23456789, ('\N{MINUS SIGN}1.23457', '\N{MINUS SIGN}1',
+                             '\N{MINUS SIGN}1.23')),
+        (False, -0.123456789, ('-123.457 m', '-123 m', '-123.46 m')),
+        (True, -0.123456789, ('\N{MINUS SIGN}123.457 m', '\N{MINUS SIGN}123 m',
+                              '\N{MINUS SIGN}123.46 m')),
+        (False, -0.00123456789, ('-1.23457 m', '-1 m', '-1.23 m')),
+        (True, -0.00123456789, ('\N{MINUS SIGN}1.23457 m', '\N{MINUS SIGN}1 m',
+                                '\N{MINUS SIGN}1.23 m')),
+        (True, -0.0, ('0', '0', '0.00')),
+        (True, -0, ('0', '0', '0.00')),
+        (True, 0, ('0', '0', '0.00')),
+        (True, 1.23456789e-6, ('1.23457 µ', '1 µ', '1.23 µ')),
+        (True, 0.123456789, ('123.457 m', '123 m', '123.46 m')),
+        (True, 0.1, ('100 m', '100 m', '100.00 m')),
+        (True, 1, ('1', '1', '1.00')),
+        (True, 1.23456789, ('1.23457', '1', '1.23')),
+        # places=0: corner-case rounding
+        (True, 999.9, ('999.9', '1 k', '999.90')),
+        # corner-case rounding for all
+        (True, 999.9999, ('1 k', '1 k', '1.00 k')),
+        # negative corner-case
+        (False, -999.9999, ('-1 k', '-1 k', '-1.00 k')),
+        (True, -999.9999, ('\N{MINUS SIGN}1 k', '\N{MINUS SIGN}1 k',
+                           '\N{MINUS SIGN}1.00 k')),
+        (True, 1000, ('1 k', '1 k', '1.00 k')),
+        (True, 1001, ('1.001 k', '1 k', '1.00 k')),
+        (True, 100001, ('100.001 k', '100 k', '100.00 k')),
+        (True, 987654.321, ('987.654 k', '988 k', '987.65 k')),
+        # OoR value (> 1000 Q)
+        (True, 1.23e33, ('1230 Q', '1230 Q', '1230.00 Q'))
+    ]
+
+    @pytest.mark.parametrize('unicode_minus, input, expected', raw_format_data)
+    def test_params(self, unicode_minus, input, expected):
+        """
+        Test the formatting of EngFormatter for various values of the 'places'
+        argument, in several cases:
+
+        0. without a unit symbol but with a (default) space separator;
+        1. with both a unit symbol and a (default) space separator;
+        2. with both a unit symbol and some non default separators;
+        3. without a unit symbol but with some non default separators.
+
+        Note that cases 2. and 3. are looped over several separator strings.
+        """
+
+        plt.rcParams['axes.unicode_minus'] = unicode_minus
+        UNIT = 's'  # seconds
+        DIGITS = '0123456789'  # %timeit showed 10-20% faster search than set
+
+        # Case 0: unit='' (default) and sep=' ' (default).
+        # 'expected' already corresponds to this reference case.
+        exp_outputs = expected
+        formatters = (
+            mticker.EngFormatter(),  # places=None (default)
+            mticker.EngFormatter(places=0),
+            mticker.EngFormatter(places=2)
+        )
+        for _formatter, _exp_output in zip(formatters, exp_outputs):
+            assert _formatter(input) == _exp_output
+
+        # Case 1: unit=UNIT and sep=' ' (default).
+        # Append a unit symbol to the reference case.
+        # Beware of the values in [1, 1000), where there is no prefix!
+        exp_outputs = (_s + " " + UNIT if _s[-1] in DIGITS  # case w/o prefix
+                       else _s + UNIT for _s in expected)
+        formatters = (
+            mticker.EngFormatter(unit=UNIT),  # places=None (default)
+            mticker.EngFormatter(unit=UNIT, places=0),
+            mticker.EngFormatter(unit=UNIT, places=2)
+        )
+        for _formatter, _exp_output in zip(formatters, exp_outputs):
+            assert _formatter(input) == _exp_output
+
+        # Test several non default separators: no separator, a narrow
+        # no-break space (Unicode character) and an extravagant string.
+        for _sep in ("", "\N{NARROW NO-BREAK SPACE}", "@_@"):
+            # Case 2: unit=UNIT and sep=_sep.
+            # Replace the default space separator from the reference case
+            # with the tested one `_sep` and append a unit symbol to it.
+            exp_outputs = (_s + _sep + UNIT if _s[-1] in DIGITS  # no prefix
+                           else _s.replace(" ", _sep) + UNIT
+                           for _s in expected)
+            formatters = (
+                mticker.EngFormatter(unit=UNIT, sep=_sep),  # places=None
+                mticker.EngFormatter(unit=UNIT, places=0, sep=_sep),
+                mticker.EngFormatter(unit=UNIT, places=2, sep=_sep)
+            )
+            for _formatter, _exp_output in zip(formatters, exp_outputs):
+                assert _formatter(input) == _exp_output
+
+            # Case 3: unit='' (default) and sep=_sep.
+            # Replace the default space separator from the reference case
+            # with the tested one `_sep`. Reference case is already unitless.
+            exp_outputs = (_s.replace(" ", _sep) for _s in expected)
+            formatters = (
+                mticker.EngFormatter(sep=_sep),  # places=None (default)
+                mticker.EngFormatter(places=0, sep=_sep),
+                mticker.EngFormatter(places=2, sep=_sep)
+            )
+            for _formatter, _exp_output in zip(formatters, exp_outputs):
+                assert _formatter(input) == _exp_output
+
+
+def test_engformatter_usetex_useMathText():
+    fig, ax = plt.subplots()
+    ax.plot([0, 500, 1000], [0, 500, 1000])
+    ax.set_xticks([0, 500, 1000])
+    for formatter in (mticker.EngFormatter(usetex=True),
+                      mticker.EngFormatter(useMathText=True)):
+        ax.xaxis.set_major_formatter(formatter)
+        fig.canvas.draw()
+        x_tick_label_text = [labl.get_text() for labl in ax.get_xticklabels()]
+        # Checking if the dollar `$` signs have been inserted around numbers
+        # in tick labels.
+        assert x_tick_label_text == ['$0$', '$500$', '$1$ k']
+
+
+@pytest.mark.parametrize(
+    'data_offset, noise, oom_center_desired, oom_noise_desired', [
+        (271_490_000_000.0,    10,         9,  0),
+        (27_149_000_000_000.0, 10_000_000, 12, 6),
+        (27.149,               0.01,       0, -3),
+        (2_714.9,              0.01,       3, -3),
+        (271_490.0,            0.001,      3, -3),
+        (271.49,               0.001,      0, -3),
+        # The following sets of parameters demonstrates that when
+        # oom(data_offset)-1 and oom(noise)-2 equal a standard 3*N oom, we get
+        # that oom_noise_desired < oom(noise)
+        (27_149_000_000.0,     100,        9, +3),
+        (27.149,               1e-07,      0, -6),
+        (271.49,               0.0001,     0, -3),
+        (27.149,               0.0001,     0, -3),
+        # Tests where oom(data_offset) <= oom(noise), those are probably
+        # covered by the part where formatter.offset != 0
+        (27_149.0,             10_000,     0, 3),
+        (27.149,               10_000,     0, 3),
+        (27.149,               1_000,      0, 3),
+        (27.149,               100,        0, 0),
+        (27.149,               10,         0, 0),
+    ]
+)
+def test_engformatter_offset_oom(
+    data_offset,
+    noise,
+    oom_center_desired,
+    oom_noise_desired
+):
+    UNIT = "eV"
+    fig, ax = plt.subplots()
+    ydata = data_offset + np.arange(-5, 7, dtype=float)*noise
+    ax.plot(ydata)
+    formatter = mticker.EngFormatter(useOffset=True, unit=UNIT)
+    # So that offset strings will always have the same size
+    formatter.ENG_PREFIXES[0] = "_"
+    ax.yaxis.set_major_formatter(formatter)
+    fig.canvas.draw()
+    offset_got = formatter.get_offset()
+    ticks_got = [labl.get_text() for labl in ax.get_yticklabels()]
+    # Predicting whether offset should be 0 or not is essentially testing
+    # ScalarFormatter._compute_offset . This function is pretty complex and it
+    # would be nice to test it, but this is out of scope for this test which
+    # only makes sure that offset text and the ticks gets the correct unit
+    # prefixes and the ticks.
+    if formatter.offset:
+        prefix_noise_got = offset_got[2]
+        prefix_noise_desired = formatter.ENG_PREFIXES[oom_noise_desired]
+        prefix_center_got = offset_got[-1-len(UNIT)]
+        prefix_center_desired = formatter.ENG_PREFIXES[oom_center_desired]
+        assert prefix_noise_desired == prefix_noise_got
+        assert prefix_center_desired == prefix_center_got
+        # Make sure the ticks didn't get the UNIT
+        for tick in ticks_got:
+            assert UNIT not in tick
+    else:
+        assert oom_center_desired == 0
+        assert offset_got == ""
+        # Make sure the ticks contain now the prefixes
+        for tick in ticks_got:
+            # 0 is zero on all orders of magnitudes, no matter what is
+            # oom_noise_desired
+            prefix_idx = 0 if tick[0] == "0" else oom_noise_desired
+            assert tick.endswith(formatter.ENG_PREFIXES[prefix_idx] + UNIT)
+
+
+class TestPercentFormatter:
+    percent_data = [
+        # Check explicitly set decimals over different intervals and values
+        (100, 0, '%', 120, 100, '120%'),
+        (100, 0, '%', 100, 90, '100%'),
+        (100, 0, '%', 90, 50, '90%'),
+        (100, 0, '%', -1.7, 40, '-2%'),
+        (100, 1, '%', 90.0, 100, '90.0%'),
+        (100, 1, '%', 80.1, 90, '80.1%'),
+        (100, 1, '%', 70.23, 50, '70.2%'),
+        # 60.554 instead of 60.55: see https://bugs.python.org/issue5118
+        (100, 1, '%', -60.554, 40, '-60.6%'),
+        # Check auto decimals over different intervals and values
+        (100, None, '%', 95, 1, '95.00%'),
+        (1.0, None, '%', 3, 6, '300%'),
+        (17.0, None, '%', 1, 8.5, '6%'),
+        (17.0, None, '%', 1, 8.4, '5.9%'),
+        (5, None, '%', -100, 0.000001, '-2000.00000%'),
+        # Check percent symbol
+        (1.0, 2, None, 1.2, 100, '120.00'),
+        (75, 3, '', 50, 100, '66.667'),
+        (42, None, '^^Foobar$$', 21, 12, '50.0^^Foobar$$'),
+    ]
+
+    percent_ids = [
+        # Check explicitly set decimals over different intervals and values
+        'decimals=0, x>100%',
+        'decimals=0, x=100%',
+        'decimals=0, x<100%',
+        'decimals=0, x<0%',
+        'decimals=1, x>100%',
+        'decimals=1, x=100%',
+        'decimals=1, x<100%',
+        'decimals=1, x<0%',
+        # Check auto decimals over different intervals and values
+        'autodecimal, x<100%, display_range=1',
+        'autodecimal, x>100%, display_range=6 (custom xmax test)',
+        'autodecimal, x<100%, display_range=8.5 (autodecimal test 1)',
+        'autodecimal, x<100%, display_range=8.4 (autodecimal test 2)',
+        'autodecimal, x<-100%, display_range=1e-6 (tiny display range)',
+        # Check percent symbol
+        'None as percent symbol',
+        'Empty percent symbol',
+        'Custom percent symbol',
+    ]
+
+    latex_data = [
+        (False, False, r'50\{t}%'),
+        (False, True, r'50\\\{t\}\%'),
+        (True, False, r'50\{t}%'),
+        (True, True, r'50\{t}%'),
+    ]
+
+    @pytest.mark.parametrize(
+            'xmax, decimals, symbol, x, display_range, expected',
+            percent_data, ids=percent_ids)
+    def test_basic(self, xmax, decimals, symbol,
+                   x, display_range, expected):
+        formatter = mticker.PercentFormatter(xmax, decimals, symbol)
+        with mpl.rc_context(rc={'text.usetex': False}):
+            assert formatter.format_pct(x, display_range) == expected
+
+    @pytest.mark.parametrize('is_latex, usetex, expected', latex_data)
+    def test_latex(self, is_latex, usetex, expected):
+        fmt = mticker.PercentFormatter(symbol='\\{t}%', is_latex=is_latex)
+        with mpl.rc_context(rc={'text.usetex': usetex}):
+            assert fmt.format_pct(50, 100) == expected
+
+
+def _impl_locale_comma():
+    try:
+        locale.setlocale(locale.LC_ALL, 'de_DE.UTF-8')
+    except locale.Error:
+        print('SKIP: Locale de_DE.UTF-8 is not supported on this machine')
+        return
+    ticks = mticker.ScalarFormatter(useMathText=True, useLocale=True)
+    fmt = '$\\mathdefault{%1.1f}$'
+    x = ticks._format_maybe_minus_and_locale(fmt, 0.5)
+    assert x == '$\\mathdefault{0{,}5}$'
+    # Do not change , in the format string
+    fmt = ',$\\mathdefault{,%1.1f},$'
+    x = ticks._format_maybe_minus_and_locale(fmt, 0.5)
+    assert x == ',$\\mathdefault{,0{,}5},$'
+    # Make sure no brackets are added if not using math text
+    ticks = mticker.ScalarFormatter(useMathText=False, useLocale=True)
+    fmt = '%1.1f'
+    x = ticks._format_maybe_minus_and_locale(fmt, 0.5)
+    assert x == '0,5'
+
+
+def test_locale_comma():
+    # On some systems/pytest versions, `pytest.skip` in an exception handler
+    # does not skip, but is treated as an exception, so directly running this
+    # test can incorrectly fail instead of skip.
+    # Instead, run this test in a subprocess, which avoids the problem, and the
+    # need to fix the locale after.
+    proc = mpl.testing.subprocess_run_helper(_impl_locale_comma, timeout=60,
+                                             extra_env={'MPLBACKEND': 'Agg'})
+    skip_msg = next((line[len('SKIP:'):].strip()
+                     for line in proc.stdout.splitlines()
+                     if line.startswith('SKIP:')),
+                    '')
+    if skip_msg:
+        pytest.skip(skip_msg)
+
+
+def test_majformatter_type():
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError):
+        ax.xaxis.set_major_formatter(mticker.LogLocator())
+
+
+def test_minformatter_type():
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError):
+        ax.xaxis.set_minor_formatter(mticker.LogLocator())
+
+
+def test_majlocator_type():
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError):
+        ax.xaxis.set_major_locator(mticker.LogFormatter())
+
+
+def test_minlocator_type():
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError):
+        ax.xaxis.set_minor_locator(mticker.LogFormatter())
+
+
+def test_minorticks_rc():
+    fig = plt.figure()
+
+    def minorticksubplot(xminor, yminor, i):
+        rc = {'xtick.minor.visible': xminor,
+              'ytick.minor.visible': yminor}
+        with plt.rc_context(rc=rc):
+            ax = fig.add_subplot(2, 2, i)
+
+        assert (len(ax.xaxis.get_minor_ticks()) > 0) == xminor
+        assert (len(ax.yaxis.get_minor_ticks()) > 0) == yminor
+
+    minorticksubplot(False, False, 1)
+    minorticksubplot(True, False, 2)
+    minorticksubplot(False, True, 3)
+    minorticksubplot(True, True, 4)
+
+
+def test_minorticks_toggle():
+    """
+    Test toggling minor ticks
+
+    Test `.Axis.minorticks_on()` and `.Axis.minorticks_off()`. Testing is
+    limited to a subset of built-in scales - `'linear'`, `'log'`, `'asinh'`
+    and `'logit'`. `symlog` scale does not seem to have a working minor
+    locator and is omitted. In future, this test should cover all scales in
+    `matplotlib.scale.get_scale_names()`.
+    """
+    fig = plt.figure()
+    def minortickstoggle(xminor, yminor, scale, i):
+        ax = fig.add_subplot(2, 2, i)
+        ax.set_xscale(scale)
+        ax.set_yscale(scale)
+        if not xminor and not yminor:
+            ax.minorticks_off()
+        if xminor and not yminor:
+            ax.xaxis.minorticks_on()
+            ax.yaxis.minorticks_off()
+        if not xminor and yminor:
+            ax.xaxis.minorticks_off()
+            ax.yaxis.minorticks_on()
+        if xminor and yminor:
+            ax.minorticks_on()
+
+        assert (len(ax.xaxis.get_minor_ticks()) > 0) == xminor
+        assert (len(ax.yaxis.get_minor_ticks()) > 0) == yminor
+
+    scales = ['linear', 'log', 'asinh', 'logit']
+    for scale in scales:
+        minortickstoggle(False, False, scale, 1)
+        minortickstoggle(True, False, scale, 2)
+        minortickstoggle(False, True, scale, 3)
+        minortickstoggle(True, True, scale, 4)
+        fig.clear()
+
+    plt.close(fig)
+
+
+@pytest.mark.parametrize('remove_overlapping_locs, expected_num',
+                         ((True, 6),
+                          (None, 6),  # this tests the default
+                          (False, 9)))
+def test_remove_overlap(remove_overlapping_locs, expected_num):
+    t = np.arange("2018-11-03", "2018-11-06", dtype="datetime64")
+    x = np.ones(len(t))
+
+    fig, ax = plt.subplots()
+    ax.plot(t, x)
+
+    ax.xaxis.set_major_locator(mpl.dates.DayLocator())
+    ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('\n%a'))
+
+    ax.xaxis.set_minor_locator(mpl.dates.HourLocator((0, 6, 12, 18)))
+    ax.xaxis.set_minor_formatter(mpl.dates.DateFormatter('%H:%M'))
+    # force there to be extra ticks
+    ax.xaxis.get_minor_ticks(15)
+    if remove_overlapping_locs is not None:
+        ax.xaxis.remove_overlapping_locs = remove_overlapping_locs
+
+    # check that getter/setter exists
+    current = ax.xaxis.remove_overlapping_locs
+    assert (current == ax.xaxis.get_remove_overlapping_locs())
+    plt.setp(ax.xaxis, remove_overlapping_locs=current)
+    new = ax.xaxis.remove_overlapping_locs
+    assert (new == ax.xaxis.remove_overlapping_locs)
+
+    # check that the accessors filter correctly
+    # this is the method that does the actual filtering
+    assert len(ax.xaxis.get_minorticklocs()) == expected_num
+    # these three are derivative
+    assert len(ax.xaxis.get_minor_ticks()) == expected_num
+    assert len(ax.xaxis.get_minorticklabels()) == expected_num
+    assert len(ax.xaxis.get_minorticklines()) == expected_num*2
+
+
+@pytest.mark.parametrize('sub', [
+    ['hi', 'aardvark'],
+    np.zeros((2, 2))])
+def test_bad_locator_subs(sub):
+    ll = mticker.LogLocator()
+    with pytest.raises(ValueError):
+        ll.set_params(subs=sub)
+
+
+@pytest.mark.parametrize("numticks, lims, ticks", [
+    (1, (.5, 5), [.1, 1, 10]),
+    (2, (.5, 5), [.1, 1, 10]),
+    (3, (.5, 5), [.1, 1, 10]),
+    (9, (.5, 5), [.1, 1, 10]),
+    (1, (.5, 50), [.1, 10, 1_000]),
+    (2, (.5, 50), [.1, 1, 10, 100]),
+    (3, (.5, 50), [.1, 1, 10, 100]),
+    (9, (.5, 50), [.1, 1, 10, 100]),
+    (1, (.5, 500), [.1, 10, 1_000]),
+    (2, (.5, 500), [.01, 1, 100, 10_000]),
+    (3, (.5, 500), [.1, 1, 10, 100, 1_000]),
+    (9, (.5, 500), [.1, 1, 10, 100, 1_000]),
+    (1, (.5, 5000), [.1, 100, 100_000]),
+    (2, (.5, 5000), [.001, 1, 1_000, 1_000_000]),
+    (3, (.5, 5000), [.001, 1, 1_000, 1_000_000]),
+    (9, (.5, 5000), [.1, 1, 10, 100, 1_000, 10_000]),
+])
+@mpl.style.context('default')
+def test_small_range_loglocator(numticks, lims, ticks):
+    ll = mticker.LogLocator(numticks=numticks)
+    assert_array_equal(ll.tick_values(*lims), ticks)
+
+
+@mpl.style.context('default')
+def test_loglocator_properties():
+    # Test that LogLocator returns ticks satisfying basic desirable properties
+    # for a wide range of inputs.
+    max_numticks = 8
+    pow_end = 20
+    for numticks, (lo, hi) in itertools.product(
+            range(1, max_numticks + 1), itertools.combinations(range(pow_end), 2)):
+        ll = mticker.LogLocator(numticks=numticks)
+        decades = np.log10(ll.tick_values(10**lo, 10**hi)).round().astype(int)
+        # There are no more ticks than the requested number, plus exactly one
+        # tick below and one tick above the limits.
+        assert len(decades) <= numticks + 2
+        assert decades[0] < lo <= decades[1]
+        assert decades[-2] <= hi < decades[-1]
+        stride, = {*np.diff(decades)}  # Extract the (constant) stride.
+        # Either the ticks are on integer multiples of the stride...
+        if not (decades % stride == 0).all():
+            # ... or (for this given stride) no offset would be acceptable,
+            # i.e. they would either result in fewer ticks than the selected
+            # solution, or more than the requested number of ticks.
+            for offset in range(0, stride):
+                alt_decades = range(lo + offset, hi + 1, stride)
+                assert len(alt_decades) < len(decades) or len(alt_decades) > numticks
+
+
+def test_NullFormatter():
+    formatter = mticker.NullFormatter()
+    assert formatter(1.0) == ''
+    assert formatter.format_data(1.0) == ''
+    assert formatter.format_data_short(1.0) == ''
+
+
+@pytest.mark.parametrize('formatter', (
+    mticker.FuncFormatter(lambda a: f'val: {a}'),
+    mticker.FixedFormatter(('foo', 'bar'))))
+def test_set_offset_string(formatter):
+    assert formatter.get_offset() == ''
+    formatter.set_offset_string('mpl')
+    assert formatter.get_offset() == 'mpl'
 
 
-def test_formatstrformatter():
-    # test % style formatter
-    tmp_form = mticker.FormatStrFormatter('%05d')
-    nose.tools.assert_equal('00002', tmp_form(2))
+def test_minorticks_on_multi_fig():
+    """
+    Turning on minor gridlines in a multi-Axes Figure
+    that contains more than one boxplot and shares the x-axis
+    should not raise an exception.
+    """
+    fig, ax = plt.subplots()
 
-    # test str.format() style formatter
-    tmp_form = mticker.StrMethodFormatter('{x:05d}')
-    nose.tools.assert_equal('00002', tmp_form(2))
+    ax.boxplot(np.arange(10), positions=[0])
+    ax.boxplot(np.arange(10), positions=[0])
+    ax.boxplot(np.arange(10), positions=[1])
 
+    ax.grid(which="major")
+    ax.grid(which="minor")
+    ax.minorticks_on()
+    fig.draw_without_rendering()
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    assert ax.get_xgridlines()
+    assert isinstance(ax.xaxis.get_minor_locator(), mpl.ticker.AutoMinorLocator)
diff --git a/lib/matplotlib/tests/test_tightlayout.py b/lib/matplotlib/tests/test_tightlayout.py
index e6935cae8c6b..f6b6d8f644cc 100644
--- a/lib/matplotlib/tests/test_tightlayout.py
+++ b/lib/matplotlib/tests/test_tightlayout.py
@@ -1,15 +1,19 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
 import warnings
 
 import numpy as np
+from numpy.testing import assert_array_equal
+import pytest
 
-from matplotlib.testing.decorators import image_comparison, knownfailureif
+import matplotlib as mpl
+from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
-from nose.tools import assert_raises
-from numpy.testing import assert_array_equal
+from matplotlib.offsetbox import AnchoredOffsetbox, DrawingArea
+from matplotlib.patches import Rectangle
+
+
+pytestmark = [
+    pytest.mark.usefixtures('text_placeholders')
+]
 
 
 def example_plot(ax, fontsize=12):
@@ -20,18 +24,17 @@ def example_plot(ax, fontsize=12):
     ax.set_title('Title', fontsize=fontsize)
 
 
-@image_comparison(baseline_images=['tight_layout1'])
+@image_comparison(['tight_layout1'], style='mpl20')
 def test_tight_layout1():
-    'Test tight_layout for a single subplot'
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
+    """Test tight_layout for a single subplot."""
+    fig, ax = plt.subplots()
     example_plot(ax, fontsize=24)
     plt.tight_layout()
 
 
-@image_comparison(baseline_images=['tight_layout2'])
+@image_comparison(['tight_layout2'], style='mpl20')
 def test_tight_layout2():
-    'Test tight_layout for mutiple subplots'
+    """Test tight_layout for multiple subplots."""
     fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2)
     example_plot(ax1)
     example_plot(ax2)
@@ -40,59 +43,44 @@ def test_tight_layout2():
     plt.tight_layout()
 
 
-@image_comparison(baseline_images=['tight_layout3'])
+@image_comparison(['tight_layout3'], style='mpl20')
 def test_tight_layout3():
-    'Test tight_layout for mutiple subplots'
-
-    fig = plt.figure()
-
+    """Test tight_layout for multiple subplots."""
     ax1 = plt.subplot(221)
     ax2 = plt.subplot(223)
     ax3 = plt.subplot(122)
-
     example_plot(ax1)
     example_plot(ax2)
     example_plot(ax3)
-
     plt.tight_layout()
 
 
-@image_comparison(baseline_images=['tight_layout4'],
-                  freetype_version=('2.4.5', '2.4.9'))
+@image_comparison(['tight_layout4'], style='mpl20')
 def test_tight_layout4():
-    'Test tight_layout for subplot2grid'
-
-    fig = plt.figure()
-
+    """Test tight_layout for subplot2grid."""
     ax1 = plt.subplot2grid((3, 3), (0, 0))
     ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)
     ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)
     ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
-
     example_plot(ax1)
     example_plot(ax2)
     example_plot(ax3)
     example_plot(ax4)
-
     plt.tight_layout()
 
 
-@image_comparison(baseline_images=['tight_layout5'])
+@image_comparison(['tight_layout5'], style='mpl20')
 def test_tight_layout5():
-    'Test tight_layout for image'
-
-    fig = plt.figure()
-
-    ax = plt.subplot(111)
+    """Test tight_layout for image."""
+    ax = plt.subplot()
     arr = np.arange(100).reshape((10, 10))
     ax.imshow(arr, interpolation="none")
-
     plt.tight_layout()
 
 
-@image_comparison(baseline_images=['tight_layout6'])
+@image_comparison(['tight_layout6'], style='mpl20')
 def test_tight_layout6():
-    'Test tight_layout for gridspec'
+    """Test tight_layout for gridspec."""
 
     # This raises warnings since tight layout cannot
     # do this fully automatically. But the test is
@@ -101,9 +89,7 @@ def test_tight_layout6():
         warnings.simplefilter("ignore", UserWarning)
         fig = plt.figure()
 
-        import matplotlib.gridspec as gridspec
-
-        gs1 = gridspec.GridSpec(2, 1)
+        gs1 = mpl.gridspec.GridSpec(2, 1)
         ax1 = fig.add_subplot(gs1[0])
         ax2 = fig.add_subplot(gs1[1])
 
@@ -112,7 +98,7 @@ def test_tight_layout6():
 
         gs1.tight_layout(fig, rect=[0, 0, 0.5, 1])
 
-        gs2 = gridspec.GridSpec(3, 1)
+        gs2 = mpl.gridspec.GridSpec(3, 1)
 
         for ss in gs2:
             ax = fig.add_subplot(ss)
@@ -134,12 +120,11 @@ def test_tight_layout6():
                          h_pad=0.45)
 
 
-@image_comparison(baseline_images=['tight_layout7'])
+@image_comparison(['tight_layout7'], style='mpl20')
 def test_tight_layout7():
     # tight layout with left and right titles
-    fig = plt.figure()
     fontsize = 24
-    ax = fig.add_subplot(111)
+    fig, ax = plt.subplots()
     ax.plot([1, 2])
     ax.locator_params(nbins=3)
     ax.set_xlabel('x-label', fontsize=fontsize)
@@ -148,10 +133,298 @@ def test_tight_layout7():
     ax.set_title('Right Title', loc='right', fontsize=fontsize)
     plt.tight_layout()
 
-@image_comparison(baseline_images=['tight_layout8'])
+
+@image_comparison(['tight_layout8'], style='mpl20', tol=0.005)
 def test_tight_layout8():
-    'Test automatic use of tight_layout'
+    """Test automatic use of tight_layout."""
     fig = plt.figure()
-    fig.set_tight_layout({'pad': .1})
-    ax = fig.add_subplot(111)
+    fig.set_layout_engine(layout='tight', pad=0.1)
+    ax = fig.add_subplot()
     example_plot(ax, fontsize=24)
+    fig.draw_without_rendering()
+
+
+@image_comparison(['tight_layout9'], style='mpl20')
+def test_tight_layout9():
+    # Test tight_layout for non-visible subplots
+    # GH 8244
+    f, axarr = plt.subplots(2, 2)
+    axarr[1][1].set_visible(False)
+    plt.tight_layout()
+
+
+def test_outward_ticks():
+    """Test automatic use of tight_layout."""
+    fig = plt.figure()
+    ax = fig.add_subplot(221)
+    ax.xaxis.set_tick_params(tickdir='out', length=16, width=3)
+    ax.yaxis.set_tick_params(tickdir='out', length=16, width=3)
+    ax.xaxis.set_tick_params(
+        tickdir='out', length=32, width=3, tick1On=True, which='minor')
+    ax.yaxis.set_tick_params(
+        tickdir='out', length=32, width=3, tick1On=True, which='minor')
+    ax.xaxis.set_ticks([0], minor=True)
+    ax.yaxis.set_ticks([0], minor=True)
+    ax = fig.add_subplot(222)
+    ax.xaxis.set_tick_params(tickdir='in', length=32, width=3)
+    ax.yaxis.set_tick_params(tickdir='in', length=32, width=3)
+    ax = fig.add_subplot(223)
+    ax.xaxis.set_tick_params(tickdir='inout', length=32, width=3)
+    ax.yaxis.set_tick_params(tickdir='inout', length=32, width=3)
+    ax = fig.add_subplot(224)
+    ax.xaxis.set_tick_params(tickdir='out', length=32, width=3)
+    ax.yaxis.set_tick_params(tickdir='out', length=32, width=3)
+    plt.tight_layout()
+    # These values were obtained after visual checking that they correspond
+    # to a tight layouting that did take the ticks into account.
+    expected = [
+        [[0.092, 0.605], [0.433, 0.933]],
+        [[0.581, 0.605], [0.922, 0.933]],
+        [[0.092, 0.138], [0.433, 0.466]],
+        [[0.581, 0.138], [0.922, 0.466]],
+    ]
+    for nn, ax in enumerate(fig.axes):
+        assert_array_equal(np.round(ax.get_position().get_points(), 3),
+                           expected[nn])
+
+
+def add_offsetboxes(ax, size=10, margin=.1, color='black'):
+    """
+    Surround ax with OffsetBoxes
+    """
+    m, mp = margin, 1+margin
+    anchor_points = [(-m, -m), (-m, .5), (-m, mp),
+                     (.5, mp), (mp, mp), (mp, .5),
+                     (mp, -m), (.5, -m)]
+    for point in anchor_points:
+        da = DrawingArea(size, size)
+        background = Rectangle((0, 0), width=size,
+                               height=size,
+                               facecolor=color,
+                               edgecolor='None',
+                               linewidth=0,
+                               antialiased=False)
+        da.add_artist(background)
+
+        anchored_box = AnchoredOffsetbox(
+            loc='center',
+            child=da,
+            pad=0.,
+            frameon=False,
+            bbox_to_anchor=point,
+            bbox_transform=ax.transAxes,
+            borderpad=0.)
+        ax.add_artist(anchored_box)
+
+
+def test_tight_layout_offsetboxes():
+    # 0.
+    # - Create 4 subplots
+    # - Plot a diagonal line on them
+    # - Use tight_layout
+    #
+    # 1.
+    # - Same 4 subplots
+    # - Surround each plot with 7 boxes
+    # - Use tight_layout
+    # - See that the squares are included in the tight_layout and that the squares do
+    #   not overlap
+    #
+    # 2.
+    # - Make the squares around the Axes invisible
+    # - See that the invisible squares do not affect the tight_layout
+    rows = cols = 2
+    colors = ['red', 'blue', 'green', 'yellow']
+    x = y = [0, 1]
+
+    def _subplots(with_boxes):
+        fig, axs = plt.subplots(rows, cols)
+        for ax, color in zip(axs.flat, colors):
+            ax.plot(x, y, color=color)
+            if with_boxes:
+                add_offsetboxes(ax, 20, color=color)
+        return fig, axs
+
+    # 0.
+    fig0, axs0 = _subplots(False)
+    fig0.tight_layout()
+
+    # 1.
+    fig1, axs1 = _subplots(True)
+    fig1.tight_layout()
+
+    # The AnchoredOffsetbox should be added to the bounding of the Axes, causing them to
+    # be smaller than the plain figure.
+    for ax0, ax1 in zip(axs0.flat, axs1.flat):
+        bbox0 = ax0.get_position()
+        bbox1 = ax1.get_position()
+        assert bbox1.x0 > bbox0.x0
+        assert bbox1.x1 < bbox0.x1
+        assert bbox1.y0 > bbox0.y0
+        assert bbox1.y1 < bbox0.y1
+
+    # No AnchoredOffsetbox should overlap with another.
+    bboxes = []
+    for ax1 in axs1.flat:
+        for child in ax1.get_children():
+            if not isinstance(child, AnchoredOffsetbox):
+                continue
+            bbox = child.get_window_extent()
+            for other_bbox in bboxes:
+                assert not bbox.overlaps(other_bbox)
+            bboxes.append(bbox)
+
+    # 2.
+    fig2, axs2 = _subplots(True)
+    for ax in axs2.flat:
+        for child in ax.get_children():
+            if isinstance(child, AnchoredOffsetbox):
+                child.set_visible(False)
+    fig2.tight_layout()
+    # The invisible AnchoredOffsetbox should not count for tight layout, so it should
+    # look the same as when they were never added.
+    for ax0, ax2 in zip(axs0.flat, axs2.flat):
+        bbox0 = ax0.get_position()
+        bbox2 = ax2.get_position()
+        assert_array_equal(bbox2.get_points(), bbox0.get_points())
+
+
+def test_empty_layout():
+    """Test that tight layout doesn't cause an error when there are no Axes."""
+    fig = plt.gcf()
+    fig.tight_layout()
+
+
+@pytest.mark.parametrize("label", ["xlabel", "ylabel"])
+def test_verybig_decorators(label):
+    """Test that no warning emitted when xlabel/ylabel too big."""
+    fig, ax = plt.subplots(figsize=(3, 2))
+    ax.set(**{label: 'a' * 100})
+
+
+def test_big_decorators_horizontal():
+    """Test that doesn't warn when xlabel too big."""
+    fig, axs = plt.subplots(1, 2, figsize=(3, 2))
+    axs[0].set_xlabel('a' * 30)
+    axs[1].set_xlabel('b' * 30)
+
+
+def test_big_decorators_vertical():
+    """Test that doesn't warn when ylabel too big."""
+    fig, axs = plt.subplots(2, 1, figsize=(3, 2))
+    axs[0].set_ylabel('a' * 20)
+    axs[1].set_ylabel('b' * 20)
+
+
+def test_badsubplotgrid():
+    # test that we get warning for mismatched subplot grids, not than an error
+    plt.subplot2grid((4, 5), (0, 0))
+    # this is the bad entry:
+    plt.subplot2grid((5, 5), (0, 3), colspan=3, rowspan=5)
+    with pytest.warns(UserWarning):
+        plt.tight_layout()
+
+
+def test_collapsed():
+    # test that if the amount of space required to make all the axes
+    # decorations fit would mean that the actual Axes would end up with size
+    # zero (i.e. margins add up to more than the available width) that a call
+    # to tight_layout will not get applied:
+    fig, ax = plt.subplots(tight_layout=True)
+    ax.set_xlim([0, 1])
+    ax.set_ylim([0, 1])
+
+    ax.annotate('BIG LONG STRING', xy=(1.25, 2), xytext=(10.5, 1.75),
+                annotation_clip=False)
+    p1 = ax.get_position()
+    with pytest.warns(UserWarning):
+        plt.tight_layout()
+        p2 = ax.get_position()
+        assert p1.width == p2.width
+    # test that passing a rect doesn't crash...
+    with pytest.warns(UserWarning):
+        plt.tight_layout(rect=[0, 0, 0.8, 0.8])
+
+
+def test_suptitle():
+    fig, ax = plt.subplots(tight_layout=True)
+    st = fig.suptitle("foo")
+    t = ax.set_title("bar")
+    fig.canvas.draw()
+    assert st.get_window_extent().y0 > t.get_window_extent().y1
+
+
+@pytest.mark.backend("pdf")
+def test_non_agg_renderer(monkeypatch, recwarn):
+    unpatched_init = mpl.backend_bases.RendererBase.__init__
+
+    def __init__(self, *args, **kwargs):
+        # Check that we don't instantiate any other renderer than a pdf
+        # renderer to perform pdf tight layout.
+        assert isinstance(self, mpl.backends.backend_pdf.RendererPdf)
+        unpatched_init(self, *args, **kwargs)
+
+    monkeypatch.setattr(mpl.backend_bases.RendererBase, "__init__", __init__)
+    fig, ax = plt.subplots()
+    fig.tight_layout()
+
+
+def test_manual_colorbar():
+    # This should warn, but not raise
+    fig, axes = plt.subplots(1, 2)
+    pts = axes[1].scatter([0, 1], [0, 1], c=[1, 5])
+    ax_rect = axes[1].get_position()
+    cax = fig.add_axes(
+        [ax_rect.x1 + 0.005, ax_rect.y0, 0.015, ax_rect.height]
+    )
+    fig.colorbar(pts, cax=cax)
+    with pytest.warns(UserWarning, match="This figure includes Axes"):
+        fig.tight_layout()
+
+
+def test_clipped_to_axes():
+    # Ensure that _fully_clipped_to_axes() returns True under default
+    # conditions for all projection types. Axes.get_tightbbox()
+    # uses this to skip artists in layout calculations.
+    arr = np.arange(100).reshape((10, 10))
+    fig = plt.figure(figsize=(6, 2))
+    ax1 = fig.add_subplot(131, projection='rectilinear')
+    ax2 = fig.add_subplot(132, projection='mollweide')
+    ax3 = fig.add_subplot(133, projection='polar')
+    for ax in (ax1, ax2, ax3):
+        # Default conditions (clipped by ax.bbox or ax.patch)
+        ax.grid(False)
+        h, = ax.plot(arr[:, 0])
+        m = ax.pcolor(arr)
+        assert h._fully_clipped_to_axes()
+        assert m._fully_clipped_to_axes()
+        # Non-default conditions (not clipped by ax.patch)
+        rect = Rectangle((0, 0), 0.5, 0.5, transform=ax.transAxes)
+        h.set_clip_path(rect)
+        m.set_clip_path(rect.get_path(), rect.get_transform())
+        assert not h._fully_clipped_to_axes()
+        assert not m._fully_clipped_to_axes()
+
+
+def test_tight_pads():
+    fig, ax = plt.subplots()
+    with pytest.warns(PendingDeprecationWarning,
+                      match='will be deprecated'):
+        fig.set_tight_layout({'pad': 0.15})
+    fig.draw_without_rendering()
+
+
+def test_tight_kwargs():
+    fig, ax = plt.subplots(tight_layout={'pad': 0.15})
+    fig.draw_without_rendering()
+
+
+def test_tight_toggle():
+    fig, ax = plt.subplots()
+    with pytest.warns(PendingDeprecationWarning):
+        fig.set_tight_layout(True)
+        assert fig.get_tight_layout()
+        fig.set_tight_layout(False)
+        assert not fig.get_tight_layout()
+        fig.set_tight_layout(True)
+        assert fig.get_tight_layout()
diff --git a/lib/matplotlib/tests/test_transforms.py b/lib/matplotlib/tests/test_transforms.py
index f6534513c4bd..b4db34db5a91 100644
--- a/lib/matplotlib/tests/test_transforms.py
+++ b/lib/matplotlib/tests/test_transforms.py
@@ -1,58 +1,402 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import copy
 
-import six
-from six.moves import xrange, zip
-
-import unittest
-
-from nose.tools import assert_equal, assert_raises
-import numpy.testing as np_test
-from numpy.testing import assert_almost_equal, assert_array_equal
-from matplotlib.transforms import Affine2D, BlendedGenericTransform
-from matplotlib.path import Path
-from matplotlib.scale import LogScale
-from matplotlib.testing.decorators import cleanup, image_comparison
 import numpy as np
+from numpy.testing import (assert_allclose, assert_almost_equal,
+                           assert_array_equal, assert_array_almost_equal)
+import pytest
 
-import matplotlib.transforms as mtrans
+from matplotlib import scale
 import matplotlib.pyplot as plt
-import matplotlib.path as mpath
 import matplotlib.patches as mpatches
+import matplotlib.transforms as mtransforms
+from matplotlib.transforms import Affine2D, Bbox, TransformedBbox, _ScaledRotation
+from matplotlib.path import Path
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from unittest.mock import MagicMock
+
+
+class TestAffine2D:
+    single_point = [1.0, 1.0]
+    multiple_points = [[0.0, 2.0], [3.0, 3.0], [4.0, 0.0]]
+    pivot = single_point
+
+    def test_init(self):
+        Affine2D([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
+        Affine2D(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], int))
+        Affine2D(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], float))
+
+    def test_values(self):
+        np.random.seed(19680801)
+        values = np.random.random(6)
+        assert_array_equal(Affine2D.from_values(*values).to_values(), values)
+
+    def test_modify_inplace(self):
+        # Some polar transforms require modifying the matrix in place.
+        trans = Affine2D()
+        mtx = trans.get_matrix()
+        mtx[0, 0] = 42
+        assert_array_equal(trans.get_matrix(), [[42, 0, 0], [0, 1, 0], [0, 0, 1]])
+
+    def test_clear(self):
+        a = Affine2D(np.random.rand(3, 3) + 5)  # Anything non-identity.
+        a.clear()
+        assert_array_equal(a.get_matrix(), [[1, 0, 0], [0, 1, 0], [0, 0, 1]])
+
+    def test_rotate(self):
+        r_pi_2 = Affine2D().rotate(np.pi / 2)
+        r90 = Affine2D().rotate_deg(90)
+        assert_array_equal(r_pi_2.get_matrix(), r90.get_matrix())
+        assert_array_almost_equal(r90.transform(self.single_point), [-1, 1])
+        assert_array_almost_equal(r90.transform(self.multiple_points),
+                                  [[-2, 0], [-3, 3], [0, 4]])
+
+        r_pi = Affine2D().rotate(np.pi)
+        r180 = Affine2D().rotate_deg(180)
+        assert_array_equal(r_pi.get_matrix(), r180.get_matrix())
+        assert_array_almost_equal(r180.transform(self.single_point), [-1, -1])
+        assert_array_almost_equal(r180.transform(self.multiple_points),
+                                  [[0, -2], [-3, -3], [-4, 0]])
+
+        r_pi_3_2 = Affine2D().rotate(3 * np.pi / 2)
+        r270 = Affine2D().rotate_deg(270)
+        assert_array_equal(r_pi_3_2.get_matrix(), r270.get_matrix())
+        assert_array_almost_equal(r270.transform(self.single_point), [1, -1])
+        assert_array_almost_equal(r270.transform(self.multiple_points),
+                                  [[2, 0], [3, -3], [0, -4]])
+
+        assert_array_equal((r90 + r90).get_matrix(), r180.get_matrix())
+        assert_array_equal((r90 + r180).get_matrix(), r270.get_matrix())
+
+    def test_rotate_around(self):
+        r_pi_2 = Affine2D().rotate_around(*self.pivot, np.pi / 2)
+        r90 = Affine2D().rotate_deg_around(*self.pivot, 90)
+        assert_array_equal(r_pi_2.get_matrix(), r90.get_matrix())
+        assert_array_almost_equal(r90.transform(self.single_point), [1, 1])
+        assert_array_almost_equal(r90.transform(self.multiple_points),
+                                  [[0, 0], [-1, 3], [2, 4]])
+
+        r_pi = Affine2D().rotate_around(*self.pivot, np.pi)
+        r180 = Affine2D().rotate_deg_around(*self.pivot, 180)
+        assert_array_equal(r_pi.get_matrix(), r180.get_matrix())
+        assert_array_almost_equal(r180.transform(self.single_point), [1, 1])
+        assert_array_almost_equal(r180.transform(self.multiple_points),
+                                  [[2, 0], [-1, -1], [-2, 2]])
+
+        r_pi_3_2 = Affine2D().rotate_around(*self.pivot, 3 * np.pi / 2)
+        r270 = Affine2D().rotate_deg_around(*self.pivot, 270)
+        assert_array_equal(r_pi_3_2.get_matrix(), r270.get_matrix())
+        assert_array_almost_equal(r270.transform(self.single_point), [1, 1])
+        assert_array_almost_equal(r270.transform(self.multiple_points),
+                                  [[2, 2], [3, -1], [0, -2]])
+
+        assert_array_almost_equal((r90 + r90).get_matrix(), r180.get_matrix())
+        assert_array_almost_equal((r90 + r180).get_matrix(), r270.get_matrix())
+
+    def test_scale(self):
+        sx = Affine2D().scale(3, 1)
+        sy = Affine2D().scale(1, -2)
+        trans = Affine2D().scale(3, -2)
+        assert_array_equal((sx + sy).get_matrix(), trans.get_matrix())
+        assert_array_equal(trans.transform(self.single_point), [3, -2])
+        assert_array_equal(trans.transform(self.multiple_points),
+                           [[0, -4], [9, -6], [12, 0]])
+
+    def test_skew(self):
+        trans_rad = Affine2D().skew(np.pi / 8, np.pi / 12)
+        trans_deg = Affine2D().skew_deg(22.5, 15)
+        assert_array_equal(trans_rad.get_matrix(), trans_deg.get_matrix())
+        # Using ~atan(0.5), ~atan(0.25) produces roundish numbers on output.
+        trans = Affine2D().skew_deg(26.5650512, 14.0362435)
+        assert_array_almost_equal(trans.transform(self.single_point), [1.5, 1.25])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[1, 2], [4.5, 3.75], [4, 1]])
+
+    def test_translate(self):
+        tx = Affine2D().translate(23, 0)
+        ty = Affine2D().translate(0, 42)
+        trans = Affine2D().translate(23, 42)
+        assert_array_equal((tx + ty).get_matrix(), trans.get_matrix())
+        assert_array_equal(trans.transform(self.single_point), [24, 43])
+        assert_array_equal(trans.transform(self.multiple_points),
+                           [[23, 44], [26, 45], [27, 42]])
+
+    def test_rotate_plus_other(self):
+        trans = Affine2D().rotate_deg(90).rotate_deg_around(*self.pivot, 180)
+        trans_added = (Affine2D().rotate_deg(90) +
+                       Affine2D().rotate_deg_around(*self.pivot, 180))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [3, 1])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[4, 2], [5, -1], [2, -2]])
+
+        trans = Affine2D().rotate_deg(90).scale(3, -2)
+        trans_added = Affine2D().rotate_deg(90) + Affine2D().scale(3, -2)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-3, -2])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-6, -0], [-9, -6], [0, -8]])
+
+        trans = (Affine2D().rotate_deg(90)
+                 .skew_deg(26.5650512, 14.0362435))  # ~atan(0.5), ~atan(0.25)
+        trans_added = (Affine2D().rotate_deg(90) +
+                       Affine2D().skew_deg(26.5650512, 14.0362435))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-0.5, 0.75])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-2, -0.5], [-1.5, 2.25], [2, 4]])
+
+        trans = Affine2D().rotate_deg(90).translate(23, 42)
+        trans_added = Affine2D().rotate_deg(90) + Affine2D().translate(23, 42)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [22, 43])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[21, 42], [20, 45], [23, 46]])
+
+    def test_rotate_around_plus_other(self):
+        trans = Affine2D().rotate_deg_around(*self.pivot, 90).rotate_deg(180)
+        trans_added = (Affine2D().rotate_deg_around(*self.pivot, 90) +
+                       Affine2D().rotate_deg(180))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-1, -1])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[0, 0], [1, -3], [-2, -4]])
+
+        trans = Affine2D().rotate_deg_around(*self.pivot, 90).scale(3, -2)
+        trans_added = (Affine2D().rotate_deg_around(*self.pivot, 90) +
+                       Affine2D().scale(3, -2))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [3, -2])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[0, 0], [-3, -6], [6, -8]])
+
+        trans = (Affine2D().rotate_deg_around(*self.pivot, 90)
+                 .skew_deg(26.5650512, 14.0362435))  # ~atan(0.5), ~atan(0.25)
+        trans_added = (Affine2D().rotate_deg_around(*self.pivot, 90) +
+                       Affine2D().skew_deg(26.5650512, 14.0362435))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [1.5, 1.25])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[0, 0], [0.5, 2.75], [4, 4.5]])
+
+        trans = Affine2D().rotate_deg_around(*self.pivot, 90).translate(23, 42)
+        trans_added = (Affine2D().rotate_deg_around(*self.pivot, 90) +
+                       Affine2D().translate(23, 42))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [24, 43])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[23, 42], [22, 45], [25, 46]])
+
+    def test_scale_plus_other(self):
+        trans = Affine2D().scale(3, -2).rotate_deg(90)
+        trans_added = Affine2D().scale(3, -2) + Affine2D().rotate_deg(90)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_equal(trans.transform(self.single_point), [2, 3])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[4, 0], [6, 9], [0, 12]])
+
+        trans = Affine2D().scale(3, -2).rotate_deg_around(*self.pivot, 90)
+        trans_added = (Affine2D().scale(3, -2) +
+                       Affine2D().rotate_deg_around(*self.pivot, 90))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_equal(trans.transform(self.single_point), [4, 3])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[6, 0], [8, 9], [2, 12]])
+
+        trans = (Affine2D().scale(3, -2)
+                 .skew_deg(26.5650512, 14.0362435))  # ~atan(0.5), ~atan(0.25)
+        trans_added = (Affine2D().scale(3, -2) +
+                       Affine2D().skew_deg(26.5650512, 14.0362435))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [2, -1.25])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-2, -4], [6, -3.75], [12, 3]])
+
+        trans = Affine2D().scale(3, -2).translate(23, 42)
+        trans_added = Affine2D().scale(3, -2) + Affine2D().translate(23, 42)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_equal(trans.transform(self.single_point), [26, 40])
+        assert_array_equal(trans.transform(self.multiple_points),
+                           [[23, 38], [32, 36], [35, 42]])
+
+    def test_skew_plus_other(self):
+        # Using ~atan(0.5), ~atan(0.25) produces roundish numbers on output.
+        trans = Affine2D().skew_deg(26.5650512, 14.0362435).rotate_deg(90)
+        trans_added = (Affine2D().skew_deg(26.5650512, 14.0362435) +
+                       Affine2D().rotate_deg(90))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-1.25, 1.5])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-2, 1], [-3.75, 4.5], [-1, 4]])
+
+        trans = (Affine2D().skew_deg(26.5650512, 14.0362435)
+                 .rotate_deg_around(*self.pivot, 90))
+        trans_added = (Affine2D().skew_deg(26.5650512, 14.0362435) +
+                       Affine2D().rotate_deg_around(*self.pivot, 90))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [0.75, 1.5])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[0, 1], [-1.75, 4.5], [1, 4]])
+
+        trans = Affine2D().skew_deg(26.5650512, 14.0362435).scale(3, -2)
+        trans_added = (Affine2D().skew_deg(26.5650512, 14.0362435) +
+                       Affine2D().scale(3, -2))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [4.5, -2.5])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[3, -4], [13.5, -7.5], [12, -2]])
+
+        trans = Affine2D().skew_deg(26.5650512, 14.0362435).translate(23, 42)
+        trans_added = (Affine2D().skew_deg(26.5650512, 14.0362435) +
+                       Affine2D().translate(23, 42))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [24.5, 43.25])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[24, 44], [27.5, 45.75], [27, 43]])
+
+    def test_translate_plus_other(self):
+        trans = Affine2D().translate(23, 42).rotate_deg(90)
+        trans_added = Affine2D().translate(23, 42) + Affine2D().rotate_deg(90)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-43, 24])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-44, 23], [-45, 26], [-42, 27]])
+
+        trans = Affine2D().translate(23, 42).rotate_deg_around(*self.pivot, 90)
+        trans_added = (Affine2D().translate(23, 42) +
+                       Affine2D().rotate_deg_around(*self.pivot, 90))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [-41, 24])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[-42, 23], [-43, 26], [-40, 27]])
+
+        trans = Affine2D().translate(23, 42).scale(3, -2)
+        trans_added = Affine2D().translate(23, 42) + Affine2D().scale(3, -2)
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [72, -86])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[69, -88], [78, -90], [81, -84]])
+
+        trans = (Affine2D().translate(23, 42)
+                 .skew_deg(26.5650512, 14.0362435))  # ~atan(0.5), ~atan(0.25)
+        trans_added = (Affine2D().translate(23, 42) +
+                       Affine2D().skew_deg(26.5650512, 14.0362435))
+        assert_array_equal(trans.get_matrix(), trans_added.get_matrix())
+        assert_array_almost_equal(trans.transform(self.single_point), [45.5, 49])
+        assert_array_almost_equal(trans.transform(self.multiple_points),
+                                  [[45, 49.75], [48.5, 51.5], [48, 48.75]])
+
+    def test_invalid_transform(self):
+        t = mtransforms.Affine2D()
+        # There are two different exceptions, since the wrong number of
+        # dimensions is caught when constructing an array_view, and that
+        # raises a ValueError, and a wrong shape with a possible number
+        # of dimensions is caught by our CALL_CPP macro, which always
+        # raises the less precise RuntimeError.
+        with pytest.raises(ValueError):
+            t.transform(1)
+        with pytest.raises(ValueError):
+            t.transform([[[1]]])
+        with pytest.raises(RuntimeError):
+            t.transform([])
+        with pytest.raises(RuntimeError):
+            t.transform([1])
+        with pytest.raises(ValueError):
+            t.transform([[1]])
+        with pytest.raises(ValueError):
+            t.transform([[1, 2, 3]])
+
+    def test_copy(self):
+        a = mtransforms.Affine2D()
+        b = mtransforms.Affine2D()
+        s = a + b
+        # Updating a dependee should invalidate a copy of the dependent.
+        s.get_matrix()  # resolve it.
+        s1 = copy.copy(s)
+        assert not s._invalid and not s1._invalid
+        a.translate(1, 2)
+        assert s._invalid and s1._invalid
+        assert (s1.get_matrix() == a.get_matrix()).all()
+        # Updating a copy of a dependee shouldn't invalidate a dependent.
+        s.get_matrix()  # resolve it.
+        b1 = copy.copy(b)
+        b1.translate(3, 4)
+        assert not s._invalid
+        assert_array_equal(s.get_matrix(), a.get_matrix())
+
+    def test_deepcopy(self):
+        a = mtransforms.Affine2D()
+        b = mtransforms.Affine2D()
+        s = a + b
+        # Updating a dependee shouldn't invalidate a deepcopy of the dependent.
+        s.get_matrix()  # resolve it.
+        s1 = copy.deepcopy(s)
+        assert not s._invalid and not s1._invalid
+        a.translate(1, 2)
+        assert s._invalid and not s1._invalid
+        assert_array_equal(s1.get_matrix(), mtransforms.Affine2D().get_matrix())
+        # Updating a deepcopy of a dependee shouldn't invalidate a dependent.
+        s.get_matrix()  # resolve it.
+        b1 = copy.deepcopy(b)
+        b1.translate(3, 4)
+        assert not s._invalid
+        assert_array_equal(s.get_matrix(), a.get_matrix())
+
+
+class TestAffineDeltaTransform:
+    def test_invalidate(self):
+        before = np.array([[1.0, 4.0, 0.0],
+                           [5.0, 1.0, 0.0],
+                           [0.0, 0.0, 1.0]])
+        after = np.array([[1.0, 3.0, 0.0],
+                          [5.0, 1.0, 0.0],
+                          [0.0, 0.0, 1.0]])
+
+        # Translation and skew present
+        base = mtransforms.Affine2D.from_values(1, 5, 4, 1, 2, 3)
+        t = mtransforms.AffineDeltaTransform(base)
+        assert_array_equal(t.get_matrix(), before)
+
+        # Mess with the internal structure of `base` without invalidating
+        # This should not affect this transform because it's a passthrough:
+        # it's always invalid
+        base.get_matrix()[0, 1:] = 3
+        assert_array_equal(t.get_matrix(), after)
+
+        # Invalidate the base
+        base.invalidate()
+        assert_array_equal(t.get_matrix(), after)
 
 
-@cleanup
 def test_non_affine_caching():
-    class AssertingNonAffineTransform(mtrans.Transform):
+    class AssertingNonAffineTransform(mtransforms.Transform):
         """
         This transform raises an assertion error when called when it
-        shouldn't be and self.raise_on_transform is True.
+        shouldn't be and ``self.raise_on_transform`` is True.
 
         """
         input_dims = output_dims = 2
         is_affine = False
+
         def __init__(self, *args, **kwargs):
-            mtrans.Transform.__init__(self, *args, **kwargs)
+            super().__init__(*args, **kwargs)
             self.raise_on_transform = False
-            self.underlying_transform = mtrans.Affine2D().scale(10, 10)
+            self.underlying_transform = mtransforms.Affine2D().scale(10, 10)
 
         def transform_path_non_affine(self, path):
-            if self.raise_on_transform:
-                assert False, ('Invalidated affine part of transform '
-                                    'unnecessarily.')
+            assert not self.raise_on_transform, \
+                'Invalidated affine part of transform unnecessarily.'
             return self.underlying_transform.transform_path(path)
         transform_path = transform_path_non_affine
 
         def transform_non_affine(self, path):
-            if self.raise_on_transform:
-                assert False, ('Invalidated affine part of transform '
-                                    'unnecessarily.')
+            assert not self.raise_on_transform, \
+                'Invalidated affine part of transform unnecessarily.'
             return self.underlying_transform.transform(path)
         transform = transform_non_affine
 
     my_trans = AssertingNonAffineTransform()
     ax = plt.axes()
-    plt.plot(list(xrange(10)), transform=my_trans + ax.transData)
+    plt.plot(np.arange(10), transform=my_trans + ax.transData)
     plt.draw()
     # enable the transform to raise an exception if it's non-affine transform
     # method is triggered again.
@@ -61,30 +405,33 @@ def transform_non_affine(self, path):
     plt.draw()
 
 
-@cleanup
 def test_external_transform_api():
-    class ScaledBy(object):
+    class ScaledBy:
         def __init__(self, scale_factor):
             self._scale_factor = scale_factor
 
         def _as_mpl_transform(self, axes):
-            return mtrans.Affine2D().scale(self._scale_factor) + axes.transData
+            return (mtransforms.Affine2D().scale(self._scale_factor)
+                    + axes.transData)
 
     ax = plt.axes()
-    line, = plt.plot(list(xrange(10)), transform=ScaledBy(10))
+    line, = plt.plot(np.arange(10), transform=ScaledBy(10))
     ax.set_xlim(0, 100)
     ax.set_ylim(0, 100)
     # assert that the top transform of the line is the scale transform.
-    np.testing.assert_allclose(line.get_transform()._a.get_matrix(),
-                               mtrans.Affine2D().scale(10).get_matrix())
+    assert_allclose(line.get_transform()._a.get_matrix(),
+                    mtransforms.Affine2D().scale(10).get_matrix())
 
 
-@image_comparison(baseline_images=['pre_transform_data'])
+@image_comparison(['pre_transform_data'], remove_text=True, style='mpl20',
+                  tol=0.05)
 def test_pre_transform_plotting():
-    # a catch-all for as many as possible plot layouts which handle pre-transforming the data
-    # NOTE: The axis range is important in this plot. It should be x10 what the data suggests it should be
+    # a catch-all for as many as possible plot layouts which handle
+    # pre-transforming the data NOTE: The axis range is important in this
+    # plot. It should be x10 what the data suggests it should be
+
     ax = plt.axes()
-    times10 = mtrans.Affine2D().scale(10)
+    times10 = mtransforms.Affine2D().scale(10)
 
     ax.contourf(np.arange(48).reshape(6, 8), transform=times10 + ax.transData)
 
@@ -96,15 +443,13 @@ def test_pre_transform_plotting():
     ax.scatter(np.linspace(0, 10), np.linspace(10, 0),
                transform=times10 + ax.transData)
 
-
     x = np.linspace(8, 10, 20)
     y = np.linspace(1, 5, 20)
     u = 2*np.sin(x) + np.cos(y[:, np.newaxis])
     v = np.sin(x) - np.cos(y[:, np.newaxis])
 
-    df = 25. / 30.   # Compatibility factor for old test image
     ax.streamplot(x, y, u, v, transform=times10 + ax.transData,
-                  density=(df, df), linewidth=u**2 + v**2)
+                  linewidth=np.hypot(u, v))
 
     # reduce the vector data down a bit for barb and quiver plotting
     x, y = x[::3], y[::3]
@@ -115,101 +460,123 @@ def test_pre_transform_plotting():
     ax.barbs(x - 3, y + 5, u**2, v**2, transform=times10 + ax.transData)
 
 
-@cleanup
 def test_contour_pre_transform_limits():
     ax = plt.axes()
     xs, ys = np.meshgrid(np.linspace(15, 20, 15), np.linspace(12.4, 12.5, 20))
-    ax.contourf(xs, ys, np.log(xs * ys), transform=mtrans.Affine2D().scale(0.1) + ax.transData)
+    ax.contourf(xs, ys, np.log(xs * ys),
+                transform=mtransforms.Affine2D().scale(0.1) + ax.transData)
 
-    expected = np.array([[ 1.5 ,  1.24],
-                         [ 2.  ,  1.25]])
+    expected = np.array([[1.5, 1.24],
+                         [2., 1.25]])
     assert_almost_equal(expected, ax.dataLim.get_points())
 
 
-@cleanup
 def test_pcolor_pre_transform_limits():
     # Based on test_contour_pre_transform_limits()
     ax = plt.axes()
     xs, ys = np.meshgrid(np.linspace(15, 20, 15), np.linspace(12.4, 12.5, 20))
-    ax.pcolor(xs, ys, np.log(xs * ys), transform=mtrans.Affine2D().scale(0.1) + ax.transData)
+    ax.pcolor(xs, ys, np.log(xs * ys)[:-1, :-1],
+              transform=mtransforms.Affine2D().scale(0.1) + ax.transData)
 
-    expected = np.array([[ 1.5 ,  1.24],
-                         [ 2.  ,  1.25]])
+    expected = np.array([[1.5, 1.24],
+                         [2., 1.25]])
     assert_almost_equal(expected, ax.dataLim.get_points())
 
 
-@cleanup
 def test_pcolormesh_pre_transform_limits():
     # Based on test_contour_pre_transform_limits()
     ax = plt.axes()
     xs, ys = np.meshgrid(np.linspace(15, 20, 15), np.linspace(12.4, 12.5, 20))
-    ax.pcolormesh(xs, ys, np.log(xs * ys), transform=mtrans.Affine2D().scale(0.1) + ax.transData)
+    ax.pcolormesh(xs, ys, np.log(xs * ys)[:-1, :-1],
+                  transform=mtransforms.Affine2D().scale(0.1) + ax.transData)
 
-    expected = np.array([[ 1.5 ,  1.24],
-                         [ 2.  ,  1.25]])
+    expected = np.array([[1.5, 1.24],
+                         [2., 1.25]])
     assert_almost_equal(expected, ax.dataLim.get_points())
 
 
+def test_pcolormesh_gouraud_nans():
+    np.random.seed(19680801)
+
+    values = np.linspace(0, 180, 3)
+    radii = np.linspace(100, 1000, 10)
+    z, y = np.meshgrid(values, radii)
+    x = np.radians(np.random.rand(*z.shape) * 100)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection="polar")
+    # Setting the limit to cause clipping of the r values causes NaN to be
+    # introduced; these should not crash but be ignored as in other path
+    # operations.
+    ax.set_rlim(101, 1000)
+    ax.pcolormesh(x, y, z, shading="gouraud")
+
+    fig.canvas.draw()
+
+
 def test_Affine2D_from_values():
-    points = np.array([ [0,0],
-               [10,20],
-               [-1,0],
-               ])
+    points = np.array([[0, 0],
+                       [10, 20],
+                       [-1, 0],
+                       ])
 
-    t = mtrans.Affine2D.from_values(1,0,0,0,0,0)
+    t = mtransforms.Affine2D.from_values(1, 0, 0, 0, 0, 0)
     actual = t.transform(points)
-    expected = np.array( [[0,0],[10,0],[-1,0]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[0, 0], [10, 0], [-1, 0]])
+    assert_almost_equal(actual, expected)
 
-    t = mtrans.Affine2D.from_values(0,2,0,0,0,0)
+    t = mtransforms.Affine2D.from_values(0, 2, 0, 0, 0, 0)
     actual = t.transform(points)
-    expected = np.array( [[0,0],[0,20],[0,-2]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[0, 0], [0, 20], [0, -2]])
+    assert_almost_equal(actual, expected)
 
-    t = mtrans.Affine2D.from_values(0,0,3,0,0,0)
+    t = mtransforms.Affine2D.from_values(0, 0, 3, 0, 0, 0)
     actual = t.transform(points)
-    expected = np.array( [[0,0],[60,0],[0,0]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[0, 0], [60, 0], [0, 0]])
+    assert_almost_equal(actual, expected)
 
-    t = mtrans.Affine2D.from_values(0,0,0,4,0,0)
+    t = mtransforms.Affine2D.from_values(0, 0, 0, 4, 0, 0)
     actual = t.transform(points)
-    expected = np.array( [[0,0],[0,80],[0,0]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[0, 0], [0, 80], [0, 0]])
+    assert_almost_equal(actual, expected)
 
-    t = mtrans.Affine2D.from_values(0,0,0,0,5,0)
+    t = mtransforms.Affine2D.from_values(0, 0, 0, 0, 5, 0)
     actual = t.transform(points)
-    expected = np.array( [[5,0],[5,0],[5,0]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[5, 0], [5, 0], [5, 0]])
+    assert_almost_equal(actual, expected)
 
-    t = mtrans.Affine2D.from_values(0,0,0,0,0,6)
+    t = mtransforms.Affine2D.from_values(0, 0, 0, 0, 0, 6)
     actual = t.transform(points)
-    expected = np.array( [[0,6],[0,6],[0,6]] )
-    assert_almost_equal(actual,expected)
+    expected = np.array([[0, 6], [0, 6], [0, 6]])
+    assert_almost_equal(actual, expected)
+
+
+def test_affine_inverted_invalidated():
+    # Ensure that the an affine transform is not declared valid on access
+    point = [1.0, 1.0]
+    t = mtransforms.Affine2D()
+
+    assert_almost_equal(point, t.transform(t.inverted().transform(point)))
+    # Change and access the transform
+    t.translate(1.0, 1.0).get_matrix()
+    assert_almost_equal(point, t.transform(t.inverted().transform(point)))
 
 
 def test_clipping_of_log():
     # issue 804
-    M,L,C = Path.MOVETO, Path.LINETO, Path.CLOSEPOLY
-    points = [ (0.2, -99), (0.4, -99), (0.4, 20), (0.2, 20), (0.2, -99) ]
-    codes  = [          M,          L,        L,         L,          C  ]
-    path = Path(points, codes)
-
+    path = Path._create_closed([(0.2, -99), (0.4, -99), (0.4, 20), (0.2, 20)])
     # something like this happens in plotting logarithmic histograms
-    trans = BlendedGenericTransform(Affine2D(),
-                                    LogScale.Log10Transform('clip'))
+    trans = mtransforms.BlendedGenericTransform(
+        mtransforms.Affine2D(), scale.LogTransform(10, 'clip'))
     tpath = trans.transform_path_non_affine(path)
     result = tpath.iter_segments(trans.get_affine(),
                                  clip=(0, 0, 100, 100),
                                  simplify=False)
-
-    tpoints, tcodes = list(zip(*result))
-    # Because y coordinate -99 is outside the clip zone, the first
-    # line segment is effectively removed. That means that the closepoly
-    # operation must be replaced by a move to the first point.
-    assert np.allclose(tcodes, [ M, M, L, L, L ])
+    tpoints, tcodes = zip(*result)
+    assert_allclose(tcodes, path.codes[:-1])  # No longer closed.
 
 
-class NonAffineForTest(mtrans.Transform):
+class NonAffineForTest(mtransforms.Transform):
     """
     A class which looks like a non affine transform, but does whatever
     the given transform does (even if it is affine). This is very useful
@@ -222,7 +589,7 @@ class NonAffineForTest(mtrans.Transform):
 
     def __init__(self, real_trans, *args, **kwargs):
         self.real_trans = real_trans
-        r = mtrans.Transform.__init__(self, *args, **kwargs)
+        super().__init__(*args, **kwargs)
 
     def transform_non_affine(self, values):
         return self.real_trans.transform(values)
@@ -231,16 +598,19 @@ def transform_path_non_affine(self, path):
         return self.real_trans.transform_path(path)
 
 
-class BasicTransformTests(unittest.TestCase):
-    def setUp(self):
+class TestBasicTransform:
+    def setup_method(self):
 
-        self.ta1 = mtrans.Affine2D(shorthand_name='ta1').rotate(np.pi / 2)
-        self.ta2 = mtrans.Affine2D(shorthand_name='ta2').translate(10, 0)
-        self.ta3 = mtrans.Affine2D(shorthand_name='ta3').scale(1, 2)
+        self.ta1 = mtransforms.Affine2D(shorthand_name='ta1').rotate(np.pi / 2)
+        self.ta2 = mtransforms.Affine2D(shorthand_name='ta2').translate(10, 0)
+        self.ta3 = mtransforms.Affine2D(shorthand_name='ta3').scale(1, 2)
 
-        self.tn1 = NonAffineForTest(mtrans.Affine2D().translate(1, 2), shorthand_name='tn1')
-        self.tn2 = NonAffineForTest(mtrans.Affine2D().translate(1, 2), shorthand_name='tn2')
-        self.tn3 = NonAffineForTest(mtrans.Affine2D().translate(1, 2), shorthand_name='tn3')
+        self.tn1 = NonAffineForTest(mtransforms.Affine2D().translate(1, 2),
+                                    shorthand_name='tn1')
+        self.tn2 = NonAffineForTest(mtransforms.Affine2D().translate(1, 2),
+                                    shorthand_name='tn2')
+        self.tn3 = NonAffineForTest(mtransforms.Affine2D().translate(1, 2),
+                                    shorthand_name='tn3')
 
         # creates a transform stack which looks like ((A, (N, A)), A)
         self.stack1 = (self.ta1 + (self.tn1 + self.ta2)) + self.ta3
@@ -255,9 +625,9 @@ def setUp(self):
 #        self.stack2_subset.write_graphviz(file('stack2_subset.dot', 'w'))
 
     def test_transform_depth(self):
-        assert_equal(self.stack1.depth, 4)
-        assert_equal(self.stack2.depth, 4)
-        assert_equal(self.stack2_subset.depth, 3)
+        assert self.stack1.depth == 4
+        assert self.stack2.depth == 4
+        assert self.stack2_subset.depth == 3
 
     def test_left_to_right_iteration(self):
         stack3 = (self.ta1 + (self.tn1 + (self.ta2 + self.tn2))) + self.ta3
@@ -270,192 +640,210 @@ def test_left_to_right_iteration(self):
                              self.ta3,
                              ]
         r = [rh for _, rh in stack3._iter_break_from_left_to_right()]
-        self.assertEqual(len(r), len(target_transforms))
+        assert len(r) == len(target_transforms)
 
         for target_stack, stack in zip(target_transforms, r):
-            self.assertEqual(target_stack, stack)
+            assert target_stack == stack
 
     def test_transform_shortcuts(self):
-        self.assertEqual(self.stack1 - self.stack2_subset, self.ta1)
-        self.assertEqual(self.stack2 - self.stack2_subset, self.ta1)
+        assert self.stack1 - self.stack2_subset == self.ta1
+        assert self.stack2 - self.stack2_subset == self.ta1
 
-        assert_equal((self.stack2_subset - self.stack2),
-                                   self.ta1.inverted(),
-                                   )
-        assert_equal((self.stack2_subset - self.stack2).depth, 1)
+        assert self.stack2_subset - self.stack2 == self.ta1.inverted()
+        assert (self.stack2_subset - self.stack2).depth == 1
 
-        assert_raises(ValueError, self.stack1.__sub__, self.stack2)
+        with pytest.raises(ValueError):
+            self.stack1 - self.stack2
 
         aff1 = self.ta1 + (self.ta2 + self.ta3)
         aff2 = self.ta2 + self.ta3
 
-        self.assertEqual(aff1 - aff2, self.ta1)
-        self.assertEqual(aff1 - self.ta2, aff1 + self.ta2.inverted())
+        assert aff1 - aff2 == self.ta1
+        assert aff1 - self.ta2 == aff1 + self.ta2.inverted()
 
-        self.assertEqual(self.stack1 - self.ta3, self.ta1 + (self.tn1 + self.ta2))
-        self.assertEqual(self.stack2 - self.ta3, self.ta1 + self.tn1 + self.ta2)
+        assert self.stack1 - self.ta3 == self.ta1 + (self.tn1 + self.ta2)
+        assert self.stack2 - self.ta3 == self.ta1 + self.tn1 + self.ta2
 
-        self.assertEqual((self.ta2 + self.ta3) - self.ta3 + self.ta3, self.ta2 + self.ta3)
+        assert ((self.ta2 + self.ta3) - self.ta3 + self.ta3 ==
+                self.ta2 + self.ta3)
 
     def test_contains_branch(self):
         r1 = (self.ta2 + self.ta1)
         r2 = (self.ta2 + self.ta1)
-        self.assertEqual(r1, r2)
-        self.assertNotEqual(r1, self.ta1)
-        self.assertTrue(r1.contains_branch(r2))
-        self.assertTrue(r1.contains_branch(self.ta1))
-        self.assertFalse(r1.contains_branch(self.ta2))
-        self.assertFalse(r1.contains_branch((self.ta2 + self.ta2)))
+        assert r1 == r2
+        assert r1 != self.ta1
+        assert r1.contains_branch(r2)
+        assert r1.contains_branch(self.ta1)
+        assert not r1.contains_branch(self.ta2)
+        assert not r1.contains_branch(self.ta2 + self.ta2)
+
+        assert r1 == r2
 
-        self.assertEqual(r1, r2)
+        assert self.stack1.contains_branch(self.ta3)
+        assert self.stack2.contains_branch(self.ta3)
 
-        self.assertTrue(self.stack1.contains_branch(self.ta3))
-        self.assertTrue(self.stack2.contains_branch(self.ta3))
+        assert self.stack1.contains_branch(self.stack2_subset)
+        assert self.stack2.contains_branch(self.stack2_subset)
 
-        self.assertTrue(self.stack1.contains_branch(self.stack2_subset))
-        self.assertTrue(self.stack2.contains_branch(self.stack2_subset))
+        assert not self.stack2_subset.contains_branch(self.stack1)
+        assert not self.stack2_subset.contains_branch(self.stack2)
 
-        self.assertFalse(self.stack2_subset.contains_branch(self.stack1))
-        self.assertFalse(self.stack2_subset.contains_branch(self.stack2))
+        assert self.stack1.contains_branch(self.ta2 + self.ta3)
+        assert self.stack2.contains_branch(self.ta2 + self.ta3)
 
-        self.assertTrue(self.stack1.contains_branch((self.ta2 + self.ta3)))
-        self.assertTrue(self.stack2.contains_branch((self.ta2 + self.ta3)))
+        assert not self.stack1.contains_branch(self.tn1 + self.ta2)
 
-        self.assertFalse(self.stack1.contains_branch((self.tn1 + self.ta2)))
+        blend = mtransforms.BlendedGenericTransform(self.tn2, self.stack2)
+        x, y = blend.contains_branch_seperately(self.stack2_subset)
+        stack_blend = self.tn3 + blend
+        sx, sy = stack_blend.contains_branch_seperately(self.stack2_subset)
+        assert x is sx is False
+        assert y is sy is True
 
     def test_affine_simplification(self):
-        # tests that a transform stack only calls as much is absolutely necessary
-        # "non-affine" allowing the best possible optimization with complex
-        # transformation stacks.
-        points = np.array([[0, 0], [10, 20], [np.nan, 1], [-1, 0]], dtype=np.float64)
+        # tests that a transform stack only calls as much is absolutely
+        # necessary "non-affine" allowing the best possible optimization with
+        # complex transformation stacks.
+        points = np.array([[0, 0], [10, 20], [np.nan, 1], [-1, 0]],
+                          dtype=np.float64)
         na_pts = self.stack1.transform_non_affine(points)
         all_pts = self.stack1.transform(points)
 
         na_expected = np.array([[1., 2.], [-19., 12.],
                                 [np.nan, np.nan], [1., 1.]], dtype=np.float64)
         all_expected = np.array([[11., 4.], [-9., 24.],
-                                 [np.nan, np.nan], [11., 2.]], dtype=np.float64)
+                                 [np.nan, np.nan], [11., 2.]],
+                                dtype=np.float64)
 
         # check we have the expected results from doing the affine part only
-        np_test.assert_array_almost_equal(na_pts, na_expected)
+        assert_array_almost_equal(na_pts, na_expected)
         # check we have the expected results from a full transformation
-        np_test.assert_array_almost_equal(all_pts, all_expected)
-        # check we have the expected results from doing the transformation in two steps
-        np_test.assert_array_almost_equal(self.stack1.transform_affine(na_pts), all_expected)
-        # check that getting the affine transformation first, then fully transforming using that
-        # yields the same result as before.
-        np_test.assert_array_almost_equal(self.stack1.get_affine().transform(na_pts), all_expected)
-
-        # check that the affine part of stack1 & stack2 are equivalent (i.e. the optimization
-        # is working)
+        assert_array_almost_equal(all_pts, all_expected)
+        # check we have the expected results from doing the transformation in
+        # two steps
+        assert_array_almost_equal(self.stack1.transform_affine(na_pts),
+                                  all_expected)
+        # check that getting the affine transformation first, then fully
+        # transforming using that yields the same result as before.
+        assert_array_almost_equal(self.stack1.get_affine().transform(na_pts),
+                                  all_expected)
+
+        # check that the affine part of stack1 & stack2 are equivalent
+        # (i.e. the optimization is working)
         expected_result = (self.ta2 + self.ta3).get_matrix()
         result = self.stack1.get_affine().get_matrix()
-        np_test.assert_array_equal(expected_result, result)
+        assert_array_equal(expected_result, result)
 
         result = self.stack2.get_affine().get_matrix()
-        np_test.assert_array_equal(expected_result, result)
+        assert_array_equal(expected_result, result)
 
 
-class TestTransformPlotInterface(unittest.TestCase):
-    def tearDown(self):
-        plt.close()
-
+class TestTransformPlotInterface:
     def test_line_extent_axes_coords(self):
         # a simple line in axes coordinates
         ax = plt.axes()
         ax.plot([0.1, 1.2, 0.8], [0.9, 0.5, 0.8], transform=ax.transAxes)
-        np.testing.assert_array_equal(ax.dataLim.get_points(), np.array([[np.inf, np.inf], [-np.inf, -np.inf]]))
+        assert_array_equal(ax.dataLim.get_points(),
+                           np.array([[np.inf, np.inf],
+                                     [-np.inf, -np.inf]]))
 
     def test_line_extent_data_coords(self):
         # a simple line in data coordinates
         ax = plt.axes()
         ax.plot([0.1, 1.2, 0.8], [0.9, 0.5, 0.8], transform=ax.transData)
-        np.testing.assert_array_equal(ax.dataLim.get_points(), np.array([[ 0.1,  0.5], [ 1.2,  0.9]]))
+        assert_array_equal(ax.dataLim.get_points(),
+                           np.array([[0.1,  0.5], [1.2,  0.9]]))
 
     def test_line_extent_compound_coords1(self):
-        # a simple line in data coordinates in the y component, and in axes coordinates in the x
+        # a simple line in data coordinates in the y component, and in axes
+        # coordinates in the x
         ax = plt.axes()
-        trans = mtrans.blended_transform_factory(ax.transAxes, ax.transData)
+        trans = mtransforms.blended_transform_factory(ax.transAxes,
+                                                      ax.transData)
         ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
-        np.testing.assert_array_equal(ax.dataLim.get_points(), np.array([[  np.inf,  -5.], [  -np.inf,  35.]]))
-        plt.close()
+        assert_array_equal(ax.dataLim.get_points(),
+                           np.array([[np.inf, -5.],
+                                     [-np.inf, 35.]]))
 
     def test_line_extent_predata_transform_coords(self):
         # a simple line in (offset + data) coordinates
         ax = plt.axes()
-        trans = mtrans.Affine2D().scale(10) + ax.transData
+        trans = mtransforms.Affine2D().scale(10) + ax.transData
         ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
-        np.testing.assert_array_equal(ax.dataLim.get_points(), np.array([[1., -50.], [12., 350.]]))
-        plt.close()
+        assert_array_equal(ax.dataLim.get_points(),
+                           np.array([[1., -50.], [12., 350.]]))
 
     def test_line_extent_compound_coords2(self):
-        # a simple line in (offset + data) coordinates in the y component, and in axes coordinates in the x
+        # a simple line in (offset + data) coordinates in the y component, and
+        # in axes coordinates in the x
         ax = plt.axes()
-        trans = mtrans.blended_transform_factory(ax.transAxes, mtrans.Affine2D().scale(10) + ax.transData)
+        trans = mtransforms.blended_transform_factory(
+            ax.transAxes, mtransforms.Affine2D().scale(10) + ax.transData)
         ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
-        np.testing.assert_array_equal(ax.dataLim.get_points(), np.array([[  np.inf,  -50.], [  -np.inf,  350.]]))
-        plt.close()
+        assert_array_equal(ax.dataLim.get_points(),
+                           np.array([[np.inf, -50.], [-np.inf, 350.]]))
 
     def test_line_extents_affine(self):
         ax = plt.axes()
-        offset = mtrans.Affine2D().translate(10, 10)
-        plt.plot(list(xrange(10)), transform=offset + ax.transData)
-        expeted_data_lim = np.array([[0., 0.], [9.,  9.]]) + 10
-        np.testing.assert_array_almost_equal(ax.dataLim.get_points(),
-                                             expeted_data_lim)
+        offset = mtransforms.Affine2D().translate(10, 10)
+        plt.plot(np.arange(10), transform=offset + ax.transData)
+        expected_data_lim = np.array([[0., 0.], [9.,  9.]]) + 10
+        assert_array_almost_equal(ax.dataLim.get_points(), expected_data_lim)
 
     def test_line_extents_non_affine(self):
         ax = plt.axes()
-        offset = mtrans.Affine2D().translate(10, 10)
-        na_offset = NonAffineForTest(mtrans.Affine2D().translate(10, 10))
-        plt.plot(list(xrange(10)), transform=offset + na_offset + ax.transData)
-        expeted_data_lim = np.array([[0., 0.], [9.,  9.]]) + 20
-        np.testing.assert_array_almost_equal(ax.dataLim.get_points(),
-                                             expeted_data_lim)
+        offset = mtransforms.Affine2D().translate(10, 10)
+        na_offset = NonAffineForTest(mtransforms.Affine2D().translate(10, 10))
+        plt.plot(np.arange(10), transform=offset + na_offset + ax.transData)
+        expected_data_lim = np.array([[0., 0.], [9.,  9.]]) + 20
+        assert_array_almost_equal(ax.dataLim.get_points(), expected_data_lim)
 
     def test_pathc_extents_non_affine(self):
         ax = plt.axes()
-        offset = mtrans.Affine2D().translate(10, 10)
-        na_offset = NonAffineForTest(mtrans.Affine2D().translate(10, 10))
-        pth = mpath.Path(np.array([[0, 0], [0, 10], [10, 10], [10, 0]]))
-        patch = mpatches.PathPatch(pth, transform=offset + na_offset + ax.transData)
+        offset = mtransforms.Affine2D().translate(10, 10)
+        na_offset = NonAffineForTest(mtransforms.Affine2D().translate(10, 10))
+        pth = Path([[0, 0], [0, 10], [10, 10], [10, 0]])
+        patch = mpatches.PathPatch(pth,
+                                   transform=offset + na_offset + ax.transData)
         ax.add_patch(patch)
-        expeted_data_lim = np.array([[0., 0.], [10.,  10.]]) + 20
-        np.testing.assert_array_almost_equal(ax.dataLim.get_points(),
-                                             expeted_data_lim)
+        expected_data_lim = np.array([[0., 0.], [10.,  10.]]) + 20
+        assert_array_almost_equal(ax.dataLim.get_points(), expected_data_lim)
 
     def test_pathc_extents_affine(self):
         ax = plt.axes()
-        offset = mtrans.Affine2D().translate(10, 10)
-        pth = mpath.Path(np.array([[0, 0], [0, 10], [10, 10], [10, 0]]))
+        offset = mtransforms.Affine2D().translate(10, 10)
+        pth = Path([[0, 0], [0, 10], [10, 10], [10, 0]])
         patch = mpatches.PathPatch(pth, transform=offset + ax.transData)
         ax.add_patch(patch)
-        expeted_data_lim = np.array([[0., 0.], [10.,  10.]]) + 10
-        np.testing.assert_array_almost_equal(ax.dataLim.get_points(),
-                                             expeted_data_lim)
-
+        expected_data_lim = np.array([[0., 0.], [10.,  10.]]) + 10
+        assert_array_almost_equal(ax.dataLim.get_points(), expected_data_lim)
 
     def test_line_extents_for_non_affine_transData(self):
         ax = plt.axes(projection='polar')
         # add 10 to the radius of the data
-        offset = mtrans.Affine2D().translate(0, 10)
+        offset = mtransforms.Affine2D().translate(0, 10)
 
-        plt.plot(list(xrange(10)), transform=offset + ax.transData)
+        plt.plot(np.arange(10), transform=offset + ax.transData)
         # the data lim of a polar plot is stored in coordinates
         # before a transData transformation, hence the data limits
         # are not what is being shown on the actual plot.
-        expeted_data_lim = np.array([[0., 0.], [9.,  9.]]) + [0, 10]
-        np.testing.assert_array_almost_equal(ax.dataLim.get_points(),
-                                             expeted_data_lim)
+        expected_data_lim = np.array([[0., 0.], [9.,  9.]]) + [0, 10]
+        assert_array_almost_equal(ax.dataLim.get_points(), expected_data_lim)
 
 
 def assert_bbox_eq(bbox1, bbox2):
     assert_array_equal(bbox1.bounds, bbox2.bounds)
 
 
+def test_bbox_frozen_copies_minpos():
+    bbox = mtransforms.Bbox.from_extents(0.0, 0.0, 1.0, 1.0, minpos=1.0)
+    frozen = bbox.frozen()
+    assert_array_equal(frozen.minpos, bbox.minpos)
+
+
 def test_bbox_intersection():
-    bbox_from_ext = mtrans.Bbox.from_extents
-    inter = mtrans.Bbox.intersection
+    bbox_from_ext = mtransforms.Bbox.from_extents
+    inter = mtransforms.Bbox.intersection
 
     r1 = bbox_from_ext(0, 0, 1, 1)
     r2 = bbox_from_ext(0.5, 0.5, 1.5, 1.5)
@@ -470,23 +858,267 @@ def test_bbox_intersection():
     # r3 contains r2
     assert_bbox_eq(inter(r1, r3), r3)
     # no intersection
-    assert_equal(inter(r1, r4), None)
+    assert inter(r1, r4) is None
     # single point
     assert_bbox_eq(inter(r1, r5), bbox_from_ext(1, 1, 1, 1))
 
 
 def test_bbox_as_strings():
-    b = mtrans.Bbox([[.5, 0], [.75, .75]])
-    assert_bbox_eq(b, eval(repr(b), {'Bbox': mtrans.Bbox}))
+    b = mtransforms.Bbox([[.5, 0], [.75, .75]])
+    assert_bbox_eq(b, eval(repr(b), {'Bbox': mtransforms.Bbox}))
     asdict = eval(str(b), {'Bbox': dict})
     for k, v in asdict.items():
-        assert_equal(getattr(b, k), v)
+        assert getattr(b, k) == v
     fmt = '.1f'
     asdict = eval(format(b, fmt), {'Bbox': dict})
     for k, v in asdict.items():
-        assert_equal(eval(format(getattr(b, k), fmt)), v)
-
-
-if __name__=='__main__':
-    import nose
-    nose.runmodule(argv=['-s','--with-doctest'], exit=False)
+        assert eval(format(getattr(b, k), fmt)) == v
+
+
+def test_str_transform():
+    # The str here should not be considered as "absolutely stable", and may be
+    # reformatted later; this is just a smoketest for __str__.
+    assert str(plt.subplot(projection="polar").transData) == """\
+CompositeGenericTransform(
+    CompositeGenericTransform(
+        CompositeGenericTransform(
+            TransformWrapper(
+                BlendedAffine2D(
+                    IdentityTransform(),
+                    IdentityTransform())),
+            CompositeAffine2D(
+                Affine2D().scale(1.0),
+                Affine2D().scale(1.0))),
+        PolarTransform(
+            PolarAxes(0.125,0.1;0.775x0.8),
+            use_rmin=True)),
+    CompositeGenericTransform(
+        CompositeGenericTransform(
+            PolarAffine(
+                TransformWrapper(
+                    BlendedAffine2D(
+                        IdentityTransform(),
+                        IdentityTransform())),
+                LockableBbox(
+                    Bbox(x0=0.0, y0=0.0, x1=6.283185307179586, y1=1.0),
+                    [[-- --]
+                     [-- --]])),
+            BboxTransformFrom(
+                _WedgeBbox(
+                    (0.5, 0.5),
+                    TransformedBbox(
+                        Bbox(x0=0.0, y0=0.0, x1=6.283185307179586, y1=1.0),
+                        CompositeAffine2D(
+                            Affine2D().scale(1.0),
+                            Affine2D().scale(1.0))),
+                    LockableBbox(
+                        Bbox(x0=0.0, y0=0.0, x1=6.283185307179586, y1=1.0),
+                        [[-- --]
+                         [-- --]])))),
+        BboxTransformTo(
+            TransformedBbox(
+                Bbox(x0=0.125, y0=0.09999999999999998, x1=0.9, y1=0.9),
+                BboxTransformTo(
+                    TransformedBbox(
+                        Bbox(x0=0.0, y0=0.0, x1=8.0, y1=6.0),
+                        Affine2D().scale(80.0)))))))"""
+
+
+def test_transform_single_point():
+    t = mtransforms.Affine2D()
+    r = t.transform_affine((1, 1))
+    assert r.shape == (2,)
+
+
+def test_log_transform():
+    # Tests that the last line runs without exception (previously the
+    # transform would fail if one of the axes was logarithmic).
+    fig, ax = plt.subplots()
+    ax.set_yscale('log')
+    ax.transData.transform((1, 1))
+
+
+def test_nan_overlap():
+    a = mtransforms.Bbox([[0, 0], [1, 1]])
+    b = mtransforms.Bbox([[0, 0], [1, np.nan]])
+    assert not a.overlaps(b)
+
+
+def test_transform_angles():
+    t = mtransforms.Affine2D()  # Identity transform
+    angles = np.array([20, 45, 60])
+    points = np.array([[0, 0], [1, 1], [2, 2]])
+
+    # Identity transform does not change angles
+    new_angles = t.transform_angles(angles, points)
+    assert_array_almost_equal(angles, new_angles)
+
+    # points missing a 2nd dimension
+    with pytest.raises(ValueError):
+        t.transform_angles(angles, points[0:2, 0:1])
+
+    # Number of angles != Number of points
+    with pytest.raises(ValueError):
+        t.transform_angles(angles, points[0:2, :])
+
+
+def test_nonsingular():
+    # test for zero-expansion type cases; other cases may be added later
+    zero_expansion = np.array([-0.001, 0.001])
+    cases = [(0, np.nan), (0, 0), (0, 7.9e-317)]
+    for args in cases:
+        out = np.array(mtransforms.nonsingular(*args))
+        assert_array_equal(out, zero_expansion)
+
+
+def test_transformed_path():
+    points = [(0, 0), (1, 0), (1, 1), (0, 1)]
+    path = Path(points, closed=True)
+
+    trans = mtransforms.Affine2D()
+    trans_path = mtransforms.TransformedPath(path, trans)
+    assert_allclose(trans_path.get_fully_transformed_path().vertices, points)
+
+    # Changing the transform should change the result.
+    r2 = 1 / np.sqrt(2)
+    trans.rotate(np.pi / 4)
+    assert_allclose(trans_path.get_fully_transformed_path().vertices,
+                    [(0, 0), (r2, r2), (0, 2 * r2), (-r2, r2)],
+                    atol=1e-15)
+
+
+def test_transformed_patch_path():
+    trans = mtransforms.Affine2D()
+    patch = mpatches.Wedge((0, 0), 1, 45, 135, transform=trans)
+
+    tpatch = mtransforms.TransformedPatchPath(patch)
+    points = tpatch.get_fully_transformed_path().vertices
+
+    # Changing the transform should change the result.
+    trans.scale(2)
+    assert_allclose(tpatch.get_fully_transformed_path().vertices, points * 2)
+
+    # Changing the path should change the result (and cancel out the scaling
+    # from the transform).
+    patch.set_radius(0.5)
+    assert_allclose(tpatch.get_fully_transformed_path().vertices, points)
+
+
+@pytest.mark.parametrize('locked_element', ['x0', 'y0', 'x1', 'y1'])
+def test_lockable_bbox(locked_element):
+    other_elements = ['x0', 'y0', 'x1', 'y1']
+    other_elements.remove(locked_element)
+
+    orig = mtransforms.Bbox.unit()
+    locked = mtransforms.LockableBbox(orig, **{locked_element: 2})
+
+    # LockableBbox should keep its locked element as specified in __init__.
+    assert getattr(locked, locked_element) == 2
+    assert getattr(locked, 'locked_' + locked_element) == 2
+    for elem in other_elements:
+        assert getattr(locked, elem) == getattr(orig, elem)
+
+    # Changing underlying Bbox should update everything but locked element.
+    orig.set_points(orig.get_points() + 10)
+    assert getattr(locked, locked_element) == 2
+    assert getattr(locked, 'locked_' + locked_element) == 2
+    for elem in other_elements:
+        assert getattr(locked, elem) == getattr(orig, elem)
+
+    # Unlocking element should revert values back to the underlying Bbox.
+    setattr(locked, 'locked_' + locked_element, None)
+    assert getattr(locked, 'locked_' + locked_element) is None
+    assert np.all(orig.get_points() == locked.get_points())
+
+    # Relocking an element should change its value, but not others.
+    setattr(locked, 'locked_' + locked_element, 3)
+    assert getattr(locked, locked_element) == 3
+    assert getattr(locked, 'locked_' + locked_element) == 3
+    for elem in other_elements:
+        assert getattr(locked, elem) == getattr(orig, elem)
+
+
+def test_transformwrapper():
+    t = mtransforms.TransformWrapper(mtransforms.Affine2D())
+    with pytest.raises(ValueError, match=(
+            r"The input and output dims of the new child \(1, 1\) "
+            r"do not match those of current child \(2, 2\)")):
+        t.set(scale.LogTransform(10))
+
+
+@check_figures_equal()
+def test_scale_swapping(fig_test, fig_ref):
+    np.random.seed(19680801)
+    samples = np.random.normal(size=10)
+    x = np.linspace(-5, 5, 10)
+
+    for fig, log_state in zip([fig_test, fig_ref], [True, False]):
+        ax = fig.subplots()
+        ax.hist(samples, log=log_state, density=True)
+        ax.plot(x, np.exp(-(x**2) / 2) / np.sqrt(2 * np.pi))
+        fig.canvas.draw()
+        ax.set_yscale('linear')
+
+
+def test_offset_copy_errors():
+    with pytest.raises(ValueError,
+                       match="'fontsize' is not a valid value for units;"
+                             " supported values are 'dots', 'points', 'inches'"):
+        mtransforms.offset_copy(None, units='fontsize')
+
+    with pytest.raises(ValueError,
+                       match='For units of inches or points a fig kwarg is needed'):
+        mtransforms.offset_copy(None, units='inches')
+
+
+def test_transformedbbox_contains():
+    bb = TransformedBbox(Bbox.unit(), Affine2D().rotate_deg(30))
+    assert bb.contains(.8, .5)
+    assert bb.contains(-.4, .85)
+    assert not bb.contains(.9, .5)
+    bb = TransformedBbox(Bbox.unit(), Affine2D().translate(.25, .5))
+    assert bb.contains(1.25, 1.5)
+    assert not bb.fully_contains(1.25, 1.5)
+    assert not bb.fully_contains(.1, .1)
+
+
+def test_interval_contains():
+    assert mtransforms.interval_contains((0, 1), 0.5)
+    assert mtransforms.interval_contains((0, 1), 0)
+    assert mtransforms.interval_contains((0, 1), 1)
+    assert not mtransforms.interval_contains((0, 1), -1)
+    assert not mtransforms.interval_contains((0, 1), 2)
+    assert mtransforms.interval_contains((1, 0), 0.5)
+
+
+def test_interval_contains_open():
+    assert mtransforms.interval_contains_open((0, 1), 0.5)
+    assert not mtransforms.interval_contains_open((0, 1), 0)
+    assert not mtransforms.interval_contains_open((0, 1), 1)
+    assert not mtransforms.interval_contains_open((0, 1), -1)
+    assert not mtransforms.interval_contains_open((0, 1), 2)
+    assert mtransforms.interval_contains_open((1, 0), 0.5)
+
+
+def test_scaledrotation_initialization():
+    """Test that the ScaledRotation object is initialized correctly."""
+    theta = 1.0  # Arbitrary theta value for testing
+    trans_shift = MagicMock()  # Mock the trans_shift transformation
+    scaled_rot = _ScaledRotation(theta, trans_shift)
+    assert scaled_rot._theta == theta
+    assert scaled_rot._trans_shift == trans_shift
+    assert scaled_rot._mtx is None
+
+
+def test_scaledrotation_get_matrix_invalid():
+    """Test get_matrix when the matrix is invalid and needs recalculation."""
+    theta = np.pi / 2
+    trans_shift = MagicMock(transform=MagicMock(return_value=[[theta, 0]]))
+    scaled_rot = _ScaledRotation(theta, trans_shift)
+    scaled_rot._invalid = True
+    matrix = scaled_rot.get_matrix()
+    trans_shift.transform.assert_called_once_with([[theta, 0]])
+    expected_rotation = np.array([[0, -1],
+                                  [1,  0]])
+    assert matrix is not None
+    assert_allclose(matrix[:2, :2], expected_rotation, atol=1e-15)
diff --git a/lib/matplotlib/tests/test_triangulation.py b/lib/matplotlib/tests/test_triangulation.py
index 87719c29a63d..337443eb1e27 100644
--- a/lib/matplotlib/tests/test_triangulation.py
+++ b/lib/matplotlib/tests/test_triangulation.py
@@ -1,18 +1,98 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
+from numpy.testing import (
+    assert_array_equal, assert_array_almost_equal, assert_array_less)
+import numpy.ma.testutils as matest
+import pytest
+
+import matplotlib as mpl
 import matplotlib.pyplot as plt
 import matplotlib.tri as mtri
-from nose.tools import assert_equal, assert_raises
-from numpy.testing import assert_array_equal, assert_array_almost_equal,\
-    assert_array_less
-import numpy.ma.testutils as matest
-from matplotlib.testing.decorators import image_comparison
-import matplotlib.cm as cm
 from matplotlib.path import Path
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+
+
+class TestTriangulationParams:
+    x = [-1, 0, 1, 0]
+    y = [0, -1, 0, 1]
+    triangles = [[0, 1, 2], [0, 2, 3]]
+    mask = [False, True]
+
+    @pytest.mark.parametrize('args, kwargs, expected', [
+        ([x, y], {}, [x, y, None, None]),
+        ([x, y, triangles], {}, [x, y, triangles, None]),
+        ([x, y], dict(triangles=triangles), [x, y, triangles, None]),
+        ([x, y], dict(mask=mask), [x, y, None, mask]),
+        ([x, y, triangles], dict(mask=mask), [x, y, triangles, mask]),
+        ([x, y], dict(triangles=triangles, mask=mask), [x, y, triangles, mask])
+    ])
+    def test_extract_triangulation_params(self, args, kwargs, expected):
+        other_args = [1, 2]
+        other_kwargs = {'a': 3, 'b': '4'}
+        x_, y_, triangles_, mask_, args_, kwargs_ = \
+            mtri.Triangulation._extract_triangulation_params(
+                args + other_args, {**kwargs, **other_kwargs})
+        x, y, triangles, mask = expected
+        assert x_ is x
+        assert y_ is y
+        assert_array_equal(triangles_, triangles)
+        assert mask_ is mask
+        assert args_ == other_args
+        assert kwargs_ == other_kwargs
+
+
+def test_extract_triangulation_positional_mask():
+    # mask cannot be passed positionally
+    mask = [True]
+    args = [[0, 2, 1], [0, 0, 1], [[0, 1, 2]], mask]
+    x_, y_, triangles_, mask_, args_, kwargs_ = \
+        mtri.Triangulation._extract_triangulation_params(args, {})
+    assert mask_ is None
+    assert args_ == [mask]
+    # the positional mask must be caught downstream because this must pass
+    # unknown args through
+
+
+def test_triangulation_init():
+    x = [-1, 0, 1, 0]
+    y = [0, -1, 0, 1]
+    with pytest.raises(ValueError, match="x and y must be equal-length"):
+        mtri.Triangulation(x, [1, 2])
+    with pytest.raises(
+            ValueError,
+            match=r"triangles must be a \(N, 3\) int array, but found shape "
+                  r"\(3,\)"):
+        mtri.Triangulation(x, y, [0, 1, 2])
+    with pytest.raises(
+            ValueError,
+            match=r"triangles must be a \(N, 3\) int array, not 'other'"):
+        mtri.Triangulation(x, y, 'other')
+    with pytest.raises(ValueError, match="found value 99"):
+        mtri.Triangulation(x, y, [[0, 1, 99]])
+    with pytest.raises(ValueError, match="found value -1"):
+        mtri.Triangulation(x, y, [[0, 1, -1]])
+
+
+def test_triangulation_set_mask():
+    x = [-1, 0, 1, 0]
+    y = [0, -1, 0, 1]
+    triangles = [[0, 1, 2], [2, 3, 0]]
+    triang = mtri.Triangulation(x, y, triangles)
+
+    # Check neighbors, which forces creation of C++ triangulation
+    assert_array_equal(triang.neighbors, [[-1, -1, 1], [-1, -1, 0]])
+
+    # Set mask
+    triang.set_mask([False, True])
+    assert_array_equal(triang.mask, [False, True])
+
+    # Reset mask
+    triang.set_mask(None)
+    assert triang.mask is None
+
+    msg = r"mask array must have same length as triangles array"
+    for mask in ([False, True, False], [False], [True], False, True):
+        with pytest.raises(ValueError, match=msg):
+            triang.set_mask(mask)
 
 
 def test_delaunay():
@@ -37,14 +117,14 @@ def test_delaunay():
     assert_array_almost_equal(triang.y, y)
 
     # Triangles - integers.
-    assert_equal(len(triang.triangles), ntriangles)
-    assert_equal(np.min(triang.triangles), 0)
-    assert_equal(np.max(triang.triangles), npoints-1)
+    assert len(triang.triangles) == ntriangles
+    assert np.min(triang.triangles) == 0
+    assert np.max(triang.triangles) == npoints-1
 
     # Edges - integers.
-    assert_equal(len(triang.edges), nedges)
-    assert_equal(np.min(triang.edges), 0)
-    assert_equal(np.max(triang.edges), npoints-1)
+    assert len(triang.edges) == nedges
+    assert np.min(triang.edges) == 0
+    assert np.max(triang.edges) == npoints-1
 
     # Neighbors - integers.
     # Check that neighbors calculated by C++ triangulation class are the same
@@ -58,15 +138,13 @@ def test_delaunay():
 
 
 def test_delaunay_duplicate_points():
-    # x[duplicate] == x[duplicate_of]
-    # y[duplicate] == y[duplicate_of]
     npoints = 10
     duplicate = 7
     duplicate_of = 3
 
     np.random.seed(23)
-    x = np.random.random((npoints))
-    y = np.random.random((npoints))
+    x = np.random.random(npoints)
+    y = np.random.random(npoints)
     x[duplicate] = x[duplicate_of]
     y[duplicate] = y[duplicate_of]
 
@@ -84,26 +162,29 @@ def test_delaunay_points_in_line():
     # that delaunay code fails gracefully.
     x = np.linspace(0.0, 10.0, 11)
     y = np.linspace(0.0, 10.0, 11)
-    assert_raises(RuntimeError, mtri.Triangulation, x, y)
+    with pytest.raises(RuntimeError):
+        mtri.Triangulation(x, y)
 
     # Add an extra point not on the line and the triangulation is OK.
     x = np.append(x, 2.0)
     y = np.append(y, 8.0)
-    triang = mtri.Triangulation(x, y)
+    mtri.Triangulation(x, y)
 
 
-def test_delaunay_insufficient_points():
+@pytest.mark.parametrize('x, y', [
     # Triangulation should raise a ValueError if passed less than 3 points.
-    assert_raises(ValueError, mtri.Triangulation, [], [])
-    assert_raises(ValueError, mtri.Triangulation, [1], [5])
-    assert_raises(ValueError, mtri.Triangulation, [1, 2], [5, 6])
-
+    ([], []),
+    ([1], [5]),
+    ([1, 2], [5, 6]),
     # Triangulation should also raise a ValueError if passed duplicate points
     # such that there are less than 3 unique points.
-    assert_raises(ValueError, mtri.Triangulation, [1, 2, 1], [5, 6, 5])
-    assert_raises(ValueError, mtri.Triangulation, [1, 2, 2], [5, 6, 6])
-    assert_raises(ValueError, mtri.Triangulation, [1, 1, 1, 2, 1, 2],
-                  [5, 5, 5, 6, 5, 6])
+    ([1, 2, 1], [5, 6, 5]),
+    ([1, 2, 2], [5, 6, 6]),
+    ([1, 1, 1, 2, 1, 2], [5, 5, 5, 6, 5, 6]),
+])
+def test_delaunay_insufficient_points(x, y):
+    with pytest.raises(ValueError):
+        mtri.Triangulation(x, y)
 
 
 def test_delaunay_robust():
@@ -137,24 +218,21 @@ def tri_contains_point(xtri, ytri, xy):
     # triangulation contain the test point xy.  Avoid calling with a point that
     # lies on or very near to an edge of any triangle in the triangulation.
     def tris_contain_point(triang, xy):
-        count = 0
-        for tri in triang.triangles:
-            if tri_contains_point(triang.x[tri], triang.y[tri], xy):
-                count += 1
-        return count
+        return sum(tri_contains_point(triang.x[tri], triang.y[tri], xy)
+                   for tri in triang.triangles)
 
     # Using matplotlib.delaunay, an invalid triangulation is created with
     # overlapping triangles; qhull is OK.
     triang = mtri.Triangulation(tri_points[:, 0], tri_points[:, 1])
     for test_point in test_points:
-        assert_equal(tris_contain_point(triang, test_point), 1)
+        assert tris_contain_point(triang, test_point) == 1
 
     # If ignore the first point of tri_points, matplotlib.delaunay throws a
     # KeyError when calculating the convex hull; qhull is OK.
     triang = mtri.Triangulation(tri_points[1:, 0], tri_points[1:, 1])
 
 
-@image_comparison(baseline_images=['tripcolor1'], extensions=['png'])
+@image_comparison(['tripcolor1.png'])
 def test_tripcolor():
     x = np.asarray([0, 0.5, 1, 0,   0.5, 1,   0, 0.5, 1, 0.75])
     y = np.asarray([0, 0,   0, 0.5, 0.5, 0.5, 1, 1,   1, 0.75])
@@ -182,14 +260,65 @@ def test_tripcolor():
     plt.title('facecolors')
 
 
+def test_tripcolor_color():
+    x = [-1, 0, 1, 0]
+    y = [0, -1, 0, 1]
+    fig, ax = plt.subplots()
+    with pytest.raises(TypeError, match=r"tripcolor\(\) missing 1 required "):
+        ax.tripcolor(x, y)
+    with pytest.raises(ValueError, match="The length of c must match either"):
+        ax.tripcolor(x, y, [1, 2, 3])
+    with pytest.raises(ValueError,
+                       match="length of facecolors must match .* triangles"):
+        ax.tripcolor(x, y, facecolors=[1, 2, 3, 4])
+    with pytest.raises(ValueError,
+                       match="'gouraud' .* at the points.* not at the faces"):
+        ax.tripcolor(x, y, facecolors=[1, 2], shading='gouraud')
+    with pytest.raises(ValueError,
+                       match="'gouraud' .* at the points.* not at the faces"):
+        ax.tripcolor(x, y, [1, 2], shading='gouraud')  # faces
+    with pytest.raises(TypeError,
+                       match="positional.*'c'.*keyword-only.*'facecolors'"):
+        ax.tripcolor(x, y, C=[1, 2, 3, 4])
+    with pytest.raises(TypeError, match="Unexpected positional parameter"):
+        ax.tripcolor(x, y, [1, 2], 'unused_positional')
+
+    # smoke test for valid color specifications (via C or facecolors)
+    ax.tripcolor(x, y, [1, 2, 3, 4])  # edges
+    ax.tripcolor(x, y, [1, 2, 3, 4], shading='gouraud')  # edges
+    ax.tripcolor(x, y, [1, 2])  # faces
+    ax.tripcolor(x, y, facecolors=[1, 2])  # faces
+
+
+def test_tripcolor_clim():
+    np.random.seed(19680801)
+    a, b, c = np.random.rand(10), np.random.rand(10), np.random.rand(10)
+
+    ax = plt.figure().add_subplot()
+    clim = (0.25, 0.75)
+    norm = ax.tripcolor(a, b, c, clim=clim).norm
+    assert (norm.vmin, norm.vmax) == clim
+
+
+def test_tripcolor_warnings():
+    x = [-1, 0, 1, 0]
+    y = [0, -1, 0, 1]
+    c = [0.4, 0.5]
+    fig, ax = plt.subplots()
+    # facecolors takes precedence over c
+    with pytest.warns(UserWarning, match="Positional parameter c .*no effect"):
+        ax.tripcolor(x, y, c, facecolors=c)
+    with pytest.warns(UserWarning, match="Positional parameter c .*no effect"):
+        ax.tripcolor(x, y, 'interpreted as c', facecolors=c)
+
+
 def test_no_modify():
     # Test that Triangulation does not modify triangles array passed to it.
     triangles = np.array([[3, 2, 0], [3, 1, 0]], dtype=np.int32)
     points = np.array([(0, 0), (0, 1.1), (1, 0), (1, 1)])
 
     old_triangles = triangles.copy()
-    tri = mtri.Triangulation(points[:, 0], points[:, 1], triangles)
-    edges = tri.edges
+    mtri.Triangulation(points[:, 0], points[:, 1], triangles).edges
     assert_array_equal(old_triangles, triangles)
 
 
@@ -231,10 +360,15 @@ def test_trifinder():
     tris = trifinder(xs, ys)
     assert_array_equal(tris, [0, 17])
 
+    #
     # Test triangles with horizontal colinear points.  These are not valid
     # triangulations, but we try to deal with the simplest violations.
-    delta = 0.0  # If +ve, triangulation is OK, if -ve triangulation invalid,
-                 # if zero have colinear points but should pass tests anyway.
+    #
+
+    # If +ve, triangulation is OK, if -ve triangulation invalid,
+    # if zero have colinear points but should pass tests anyway.
+    delta = 0.0
+
     x = [1.5, 0,  1,  2, 3, 1.5,   1.5]
     y = [-1,  0,  0,  0, 0, delta, 1]
     triangles = [[0, 2, 1], [0, 3, 2], [0, 4, 3], [1, 2, 5], [2, 3, 5],
@@ -249,10 +383,15 @@ def test_trifinder():
     assert_array_equal(tris, [[-1, 0, 0, 1, 1, 2, -1],
                               [-1, 6, 6, 6, 7, 7, -1]])
 
+    #
     # Test triangles with vertical colinear points.  These are not valid
     # triangulations, but we try to deal with the simplest violations.
-    delta = 0.0  # If +ve, triangulation is OK, if -ve triangulation invalid,
-                # if zero have colinear points but should pass tests anyway.
+    #
+
+    # If +ve, triangulation is OK, if -ve triangulation invalid,
+    # if zero have colinear points but should pass tests anyway.
+    delta = 0.0
+
     x = [-1, -delta, 0,  0,  0, 0, 1]
     y = [1.5, 1.5,   0,  1,  2, 3, 1.5]
     triangles = [[0, 1, 2], [0, 1, 5], [1, 2, 3], [1, 3, 4], [1, 4, 5],
@@ -276,12 +415,12 @@ def test_trifinder():
     trifinder = triang.get_trifinder()
 
     xs = [-0.2, 0.2, 0.8, 1.2]
-    ys = [ 0.5, 0.5, 0.5, 0.5]
+    ys = [0.5, 0.5, 0.5, 0.5]
     tris = trifinder(xs, ys)
     assert_array_equal(tris, [-1, 0, 1, -1])
 
     triang.set_mask([1, 0])
-    assert_equal(trifinder, triang.get_trifinder())
+    assert trifinder == triang.get_trifinder()
     tris = trifinder(xs, ys)
     assert_array_equal(tris, [-1, -1, 1, -1])
 
@@ -376,9 +515,9 @@ def gradient_quad(x, y):
     diff_lin = np.abs(linear_interp(xs, ys) - zs)
     for interp in (cubic_min_E, cubic_geom):
         diff_cubic = np.abs(interp(xs, ys) - zs)
-        assert(np.max(diff_lin) >= 10.*np.max(diff_cubic))
-        assert(np.dot(diff_lin, diff_lin) >=
-               100.*np.dot(diff_cubic, diff_cubic))
+        assert np.max(diff_lin) >= 10 * np.max(diff_cubic)
+        assert (np.dot(diff_lin, diff_lin) >=
+                100 * np.dot(diff_cubic, diff_cubic))
 
 
 def test_triinterpcubic_C1_continuity():
@@ -473,12 +612,9 @@ def test_triinterpcubic_cg_solver():
     # 1) A commonly used test involves a 2d Poisson matrix.
     def poisson_sparse_matrix(n, m):
         """
-        Sparse Poisson matrix.
-
-        Returns the sparse matrix in coo format resulting from the
+        Return the sparse, (n*m, n*m) matrix in coo format resulting from the
         discretisation of the 2-dimensional Poisson equation according to a
         finite difference numerical scheme on a uniform (n, m) grid.
-        Size of the matrix: (n*m, n*m)
         """
         l = m*n
         rows = np.concatenate([
@@ -500,15 +636,15 @@ def poisson_sparse_matrix(n, m):
 
     # Instantiating a sparse Poisson matrix of size 48 x 48:
     (n, m) = (12, 4)
-    mat = mtri.triinterpolate._Sparse_Matrix_coo(*poisson_sparse_matrix(n, m))
+    mat = mtri._triinterpolate._Sparse_Matrix_coo(*poisson_sparse_matrix(n, m))
     mat.compress_csc()
     mat_dense = mat.to_dense()
     # Testing a sparse solve for all 48 basis vector
     for itest in range(n*m):
         b = np.zeros(n*m, dtype=np.float64)
         b[itest] = 1.
-        x, _ = mtri.triinterpolate._cg(A=mat, b=b, x0=np.zeros(n*m),
-                                       tol=1.e-10)
+        x, _ = mtri._triinterpolate._cg(A=mat, b=b, x0=np.zeros(n*m),
+                                        tol=1.e-10)
         assert_array_almost_equal(np.dot(mat_dense, x), b)
 
     # 2) Same matrix with inserting 2 rows - cols with null diag terms
@@ -521,16 +657,16 @@ def poisson_sparse_matrix(n, m):
     rows = np.concatenate([rows, [i_zero, i_zero-1, j_zero, j_zero-1]])
     cols = np.concatenate([cols, [i_zero-1, i_zero, j_zero-1, j_zero]])
     vals = np.concatenate([vals, [1., 1., 1., 1.]])
-    mat = mtri.triinterpolate._Sparse_Matrix_coo(vals, rows, cols,
-                                                 (n*m + 2, n*m + 2))
+    mat = mtri._triinterpolate._Sparse_Matrix_coo(vals, rows, cols,
+                                                  (n*m + 2, n*m + 2))
     mat.compress_csc()
     mat_dense = mat.to_dense()
     # Testing a sparse solve for all 50 basis vec
     for itest in range(n*m + 2):
         b = np.zeros(n*m + 2, dtype=np.float64)
         b[itest] = 1.
-        x, _ = mtri.triinterpolate._cg(A=mat, b=b, x0=np.ones(n*m + 2),
-                                       tol=1.e-10)
+        x, _ = mtri._triinterpolate._cg(A=mat, b=b, x0=np.ones(n * m + 2),
+                                        tol=1.e-10)
         assert_array_almost_equal(np.dot(mat_dense, x), b)
 
     # 3) Now a simple test that summation of duplicate (i.e. with same rows,
@@ -541,7 +677,7 @@ def poisson_sparse_matrix(n, m):
     cols = np.array([0, 1, 2, 1, 1, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2],
                     dtype=np.int32)
     dim = (3, 3)
-    mat = mtri.triinterpolate._Sparse_Matrix_coo(vals, rows, cols, dim)
+    mat = mtri._triinterpolate._Sparse_Matrix_coo(vals, rows, cols, dim)
     mat.compress_csc()
     mat_dense = mat.to_dense()
     assert_array_almost_equal(mat_dense, np.array([
@@ -551,20 +687,20 @@ def poisson_sparse_matrix(n, m):
 def test_triinterpcubic_geom_weights():
     # Tests to check computation of weights for _DOF_estimator_geom:
     # The weight sum per triangle can be 1. (in case all angles < 90 degrees)
-    # or (2*w_i) where w_i = 1-alpha_i/np.pi is the weight of apex i ; alpha_i
+    # or (2*w_i) where w_i = 1-alpha_i/np.pi is the weight of apex i; alpha_i
     # is the apex angle > 90 degrees.
     (ax, ay) = (0., 1.687)
     x = np.array([ax, 0.5*ax, 0., 1.])
     y = np.array([ay, -ay, 0., 0.])
     z = np.zeros(4, dtype=np.float64)
     triangles = [[0, 2, 3], [1, 3, 2]]
-    sum_w = np.zeros([4, 2])  # 4 possibilities ; 2 triangles
+    sum_w = np.zeros([4, 2])  # 4 possibilities; 2 triangles
     for theta in np.linspace(0., 2*np.pi, 14):  # rotating the figure...
         x_rot = np.cos(theta)*x + np.sin(theta)*y
         y_rot = -np.sin(theta)*x + np.cos(theta)*y
         triang = mtri.Triangulation(x_rot, y_rot, triangles)
         cubic_geom = mtri.CubicTriInterpolator(triang, z, kind='geom')
-        dof_estimator = mtri.triinterpolate._DOF_estimator_geom(cubic_geom)
+        dof_estimator = mtri._triinterpolate._DOF_estimator_geom(cubic_geom)
         weights = dof_estimator.compute_geom_weights()
         # Testing for the 4 possibilities...
         sum_w[0, :] = np.sum(weights, 1) - 1
@@ -583,15 +719,17 @@ def test_triinterp_colinear():
     #
     # Note that the LinearTriInterpolator and the CubicTriInterpolator with
     # kind='min_E' or 'geom' still pass a linear patch test.
-    # We also test interpolation inside a  flat triangle, by forcing
+    # We also test interpolation inside a flat triangle, by forcing
     # *tri_index* in a call to :meth:`_interpolate_multikeys`.
 
-    delta = 0.  # If +ve, triangulation is OK, if -ve triangulation invalid,
-                # if zero have colinear points but should pass tests anyway.
+    # If +ve, triangulation is OK, if -ve triangulation invalid,
+    # if zero have colinear points but should pass tests anyway.
+    delta = 0.
+
     x0 = np.array([1.5, 0,  1,  2, 3, 1.5,   1.5])
     y0 = np.array([-1,  0,  0,  0, 0, delta, 1])
 
-    # We test different affine transformations of the initial figure ; to
+    # We test different affine transformations of the initial figure; to
     # avoid issues related to round-off errors we only use integer
     # coefficients (otherwise the Triangulation might become invalid even with
     # delta == 0).
@@ -649,10 +787,10 @@ def test_triinterp_transformations():
     min_radius = 0.15
 
     def z(x, y):
-        r1 = np.sqrt((0.5-x)**2 + (0.5-y)**2)
-        theta1 = np.arctan2(0.5-x, 0.5-y)
-        r2 = np.sqrt((-x-0.2)**2 + (-y-0.2)**2)
-        theta2 = np.arctan2(-x-0.2, -y-0.2)
+        r1 = np.hypot(0.5 - x, 0.5 - y)
+        theta1 = np.arctan2(0.5 - x, 0.5 - y)
+        r2 = np.hypot(-x - 0.2, -y - 0.2)
+        theta2 = np.arctan2(-x - 0.2, -y - 0.2)
         z = -(2*(np.exp((r1/10)**2)-1)*30. * np.cos(7.*theta1) +
               (np.exp((r2/10)**2)-1)*30. * np.cos(11.*theta2) +
               0.7*(x**2 + y**2))
@@ -721,15 +859,13 @@ def z(x, y):
         dic_interp = {'lin': linear_interp,
                       'min_E': cubic_min_E,
                       'geom': cubic_geom}
-        # Testing that the interpolation is invariant by expansion along
-        # 1 axis...
+        # Test that the interpolation is invariant by expansion along 1 axis...
         for interp_key in ['lin', 'min_E', 'geom']:
             interpz = dic_interp[interp_key](xs, ys)
             matest.assert_array_almost_equal(interpz, interp_z0[interp_key])
 
 
-@image_comparison(baseline_images=['tri_smooth_contouring'],
-                  extensions=['png'], remove_text=True)
+@image_comparison(['tri_smooth_contouring.png'], remove_text=True, tol=0.072)
 def test_tri_smooth_contouring():
     # Image comparison based on example tricontour_smooth_user.
     n_angles = 20
@@ -737,10 +873,10 @@ def test_tri_smooth_contouring():
     min_radius = 0.15
 
     def z(x, y):
-        r1 = np.sqrt((0.5-x)**2 + (0.5-y)**2)
-        theta1 = np.arctan2(0.5-x, 0.5-y)
-        r2 = np.sqrt((-x-0.2)**2 + (-y-0.2)**2)
-        theta2 = np.arctan2(-x-0.2, -y-0.2)
+        r1 = np.hypot(0.5 - x, 0.5 - y)
+        theta1 = np.arctan2(0.5 - x, 0.5 - y)
+        r2 = np.hypot(-x - 0.2, -y - 0.2)
+        theta2 = np.arctan2(-x - 0.2, -y - 0.2)
         z = -(2*(np.exp((r1/10)**2)-1)*30. * np.cos(7.*theta1) +
               (np.exp((r2/10)**2)-1)*30. * np.cos(11.*theta2) +
               0.7*(x**2 + y**2))
@@ -756,10 +892,9 @@ def z(x, y):
     y0 = (radii*np.sin(angles)).flatten()
     triang0 = mtri.Triangulation(x0, y0)  # Delaunay triangulation
     z0 = z(x0, y0)
-    xmid = x0[triang0.triangles].mean(axis=1)
-    ymid = y0[triang0.triangles].mean(axis=1)
-    mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-    triang0.set_mask(mask)
+    triang0.set_mask(np.hypot(x0[triang0.triangles].mean(axis=1),
+                              y0[triang0.triangles].mean(axis=1))
+                     < min_radius)
 
     # Then the plot
     refiner = mtri.UniformTriRefiner(triang0)
@@ -769,13 +904,12 @@ def z(x, y):
     plt.tricontour(tri_refi, z_test_refi, levels=levels, colors="black")
 
 
-@image_comparison(baseline_images=['tri_smooth_gradient'],
-                  extensions=['png'], remove_text=True)
+@image_comparison(['tri_smooth_gradient.png'], remove_text=True, tol=0.092)
 def test_tri_smooth_gradient():
     # Image comparison based on example trigradient_demo.
 
     def dipole_potential(x, y):
-        """ An electric dipole potential V """
+        """An electric dipole potential V."""
         r_sq = x**2 + y**2
         theta = np.arctan2(y, x)
         z = np.cos(theta)/r_sq
@@ -793,10 +927,9 @@ def dipole_potential(x, y):
     y = (radii*np.sin(angles)).flatten()
     V = dipole_potential(x, y)
     triang = mtri.Triangulation(x, y)
-    xmid = x[triang.triangles].mean(axis=1)
-    ymid = y[triang.triangles].mean(axis=1)
-    mask = np.where(xmid*xmid + ymid*ymid < min_radius*min_radius, 1, 0)
-    triang.set_mask(mask)
+    triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
+                             y[triang.triangles].mean(axis=1))
+                    < min_radius)
 
     # Refine data - interpolates the electrical potential V
     refiner = mtri.UniformTriRefiner(triang)
@@ -804,8 +937,8 @@ def dipole_potential(x, y):
 
     # Computes the electrical field (Ex, Ey) as gradient of -V
     tci = mtri.CubicTriInterpolator(triang, -V)
-    (Ex, Ey) = tci.gradient(triang.x, triang.y)
-    E_norm = np.sqrt(Ex**2 + Ey**2)
+    Ex, Ey = tci.gradient(triang.x, triang.y)
+    E_norm = np.hypot(Ex, Ey)
 
     # Plot the triangulation, the potential iso-contours and the vector field
     plt.figure()
@@ -813,13 +946,15 @@ def dipole_potential(x, y):
     plt.triplot(triang, color='0.8')
 
     levels = np.arange(0., 1., 0.01)
-    cmap = cm.get_cmap(name='hot', lut=None)
+    cmap = mpl.colormaps['hot']
     plt.tricontour(tri_refi, z_test_refi, levels=levels, cmap=cmap,
                    linewidths=[2.0, 1.0, 1.0, 1.0])
     # Plots direction of the electrical vector field
     plt.quiver(triang.x, triang.y, Ex/E_norm, Ey/E_norm,
                units='xy', scale=10., zorder=3, color='blue',
                width=0.007, headwidth=3., headlength=4.)
+    # We are leaving ax.use_sticky_margins as True, so the
+    # view limits are the contour data limits.
 
 
 def test_tritools():
@@ -828,11 +963,10 @@ def test_tritools():
     x = np.array([0., 1., 0.5, 0., 2.])
     y = np.array([0., 0., 0.5*np.sqrt(3.), -1., 1.])
     triangles = np.array([[0, 1, 2], [0, 1, 3], [1, 2, 4]], dtype=np.int32)
-    mask = np.array([False, False, True], dtype=np.bool)
+    mask = np.array([False, False, True], dtype=bool)
     triang = mtri.Triangulation(x, y, triangles, mask=mask)
     analyser = mtri.TriAnalyzer(triang)
-    assert_array_almost_equal(analyser.scale_factors,
-                              np.array([1., 1./(1.+0.5*np.sqrt(3.))]))
+    assert_array_almost_equal(analyser.scale_factors, [1, 1/(1+3**.5/2)])
     assert_array_almost_equal(
         analyser.circle_ratios(rescale=False),
         np.ma.masked_array([0.5, 1./(1.+np.sqrt(2.)), np.nan], mask))
@@ -862,7 +996,7 @@ def power(x, a):
     triang = mtri.Triangulation(x, y, triangles=meshgrid_triangles(n+1))
     analyser = mtri.TriAnalyzer(triang)
     mask_flat = analyser.get_flat_tri_mask(0.2)
-    verif_mask = np.zeros(162, dtype=np.bool)
+    verif_mask = np.zeros(162, dtype=bool)
     corners_index = [0, 1, 2, 3, 14, 15, 16, 17, 18, 19, 34, 35, 126, 127,
                      142, 143, 144, 145, 146, 147, 158, 159, 160, 161]
     verif_mask[corners_index] = True
@@ -870,7 +1004,7 @@ def power(x, a):
 
     # Now including a hole (masked triangle) at the center. The center also
     # shall be eliminated by get_flat_tri_mask.
-    mask = np.zeros(162, dtype=np.bool)
+    mask = np.zeros(162, dtype=bool)
     mask[80] = True
     triang.set_mask(mask)
     mask_flat = analyser.get_flat_tri_mask(0.2)
@@ -887,7 +1021,7 @@ def test_trirefine():
     x, y = np.meshgrid(x, x)
     x = x.ravel()
     y = y.ravel()
-    mask = np.zeros(2*n**2, dtype=np.bool)
+    mask = np.zeros(2*n**2, dtype=bool)
     mask[n**2:] = True
     triang = mtri.Triangulation(x, y, triangles=meshgrid_triangles(n+1),
                                 mask=mask)
@@ -901,7 +1035,7 @@ def test_trirefine():
     x_verif, y_verif = np.meshgrid(x_verif, x_verif)
     x_verif = x_verif.ravel()
     y_verif = y_verif.ravel()
-    ind1d = np.in1d(np.around(x_verif*(2.5+y_verif), 8),
+    ind1d = np.isin(np.around(x_verif*(2.5+y_verif), 8),
                     np.around(x_refi*(2.5+y_refi), 8))
     assert_array_equal(ind1d, True)
 
@@ -923,7 +1057,7 @@ def test_trirefine():
     y = np.asarray([0.0, 0.0, 1.0, 1.0])
     triang = [mtri.Triangulation(x, y, [[0, 1, 3], [3, 2, 0]]),
               mtri.Triangulation(x, y, [[0, 1, 3], [2, 0, 3]])]
-    z = np.sqrt((x-0.3)*(x-0.3) + (y-0.4)*(y-0.4))
+    z = np.hypot(x - 0.3, y - 0.4)
     # Refining the 2 triangulations and reordering the points
     xyz_data = []
     for i in range(2):
@@ -935,15 +1069,32 @@ def test_trirefine():
     assert_array_almost_equal(xyz_data[0], xyz_data[1])
 
 
+@pytest.mark.parametrize('interpolator',
+                         [mtri.LinearTriInterpolator,
+                          mtri.CubicTriInterpolator],
+                         ids=['linear', 'cubic'])
+def test_trirefine_masked(interpolator):
+    # Repeated points means we will have fewer triangles than points, and thus
+    # get masking.
+    x, y = np.mgrid[:2, :2]
+    x = np.repeat(x.flatten(), 2)
+    y = np.repeat(y.flatten(), 2)
+
+    z = np.zeros_like(x)
+    tri = mtri.Triangulation(x, y)
+    refiner = mtri.UniformTriRefiner(tri)
+    interp = interpolator(tri, z)
+    refiner.refine_field(z, triinterpolator=interp, subdiv=2)
+
+
 def meshgrid_triangles(n):
     """
-    Utility function.
-    Returns triangles to mesh a np.meshgrid of n x n points
+    Return (2*(N-1)**2, 3) array of triangles to mesh (N, N)-point np.meshgrid.
     """
     tri = []
     for i in range(n-1):
         for j in range(n-1):
-            a = i + j*(n)
+            a = i + j*n
             b = (i+1) + j*n
             c = i + (j+1)*n
             d = (i+1) + (j+1)*n
@@ -953,15 +1104,300 @@ def meshgrid_triangles(n):
 
 def test_triplot_return():
     # Check that triplot returns the artists it adds
-    from matplotlib.figure import Figure
-    ax = Figure().add_axes([0.1, 0.1, 0.7, 0.7])
+    ax = plt.figure().add_subplot()
     triang = mtri.Triangulation(
         [0.0, 1.0, 0.0, 1.0], [0.0, 0.0, 1.0, 1.0],
         triangles=[[0, 1, 3], [3, 2, 0]])
-    if ax.triplot(triang, "b-") is None:
-        raise AssertionError("triplot should return the artist it adds")
+    assert ax.triplot(triang, "b-") is not None, \
+        'triplot should return the artist it adds'
+
+
+def test_trirefiner_fortran_contiguous_triangles():
+    # github issue 4180.  Test requires two arrays of triangles that are
+    # identical except that one is C-contiguous and one is fortran-contiguous.
+    triangles1 = np.array([[2, 0, 3], [2, 1, 0]])
+    assert not np.isfortran(triangles1)
+
+    triangles2 = np.array(triangles1, copy=True, order='F')
+    assert np.isfortran(triangles2)
 
+    x = np.array([0.39, 0.59, 0.43, 0.32])
+    y = np.array([33.99, 34.01, 34.19, 34.18])
+    triang1 = mtri.Triangulation(x, y, triangles1)
+    triang2 = mtri.Triangulation(x, y, triangles2)
 
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
+    refiner1 = mtri.UniformTriRefiner(triang1)
+    refiner2 = mtri.UniformTriRefiner(triang2)
+
+    fine_triang1 = refiner1.refine_triangulation(subdiv=1)
+    fine_triang2 = refiner2.refine_triangulation(subdiv=1)
+
+    assert_array_equal(fine_triang1.triangles, fine_triang2.triangles)
+
+
+def test_qhull_triangle_orientation():
+    # github issue 4437.
+    xi = np.linspace(-2, 2, 100)
+    x, y = map(np.ravel, np.meshgrid(xi, xi))
+    w = (x > y - 1) & (x < -1.95) & (y > -1.2)
+    x, y = x[w], y[w]
+    theta = np.radians(25)
+    x1 = x*np.cos(theta) - y*np.sin(theta)
+    y1 = x*np.sin(theta) + y*np.cos(theta)
+
+    # Calculate Delaunay triangulation using Qhull.
+    triang = mtri.Triangulation(x1, y1)
+
+    # Neighbors returned by Qhull.
+    qhull_neighbors = triang.neighbors
+
+    # Obtain neighbors using own C++ calculation.
+    triang._neighbors = None
+    own_neighbors = triang.neighbors
+
+    assert_array_equal(qhull_neighbors, own_neighbors)
+
+
+def test_trianalyzer_mismatched_indices():
+    # github issue 4999.
+    x = np.array([0., 1., 0.5, 0., 2.])
+    y = np.array([0., 0., 0.5*np.sqrt(3.), -1., 1.])
+    triangles = np.array([[0, 1, 2], [0, 1, 3], [1, 2, 4]], dtype=np.int32)
+    mask = np.array([False, False, True], dtype=bool)
+    triang = mtri.Triangulation(x, y, triangles, mask=mask)
+    analyser = mtri.TriAnalyzer(triang)
+    # numpy >= 1.10 raises a VisibleDeprecationWarning in the following line
+    # prior to the fix.
+    analyser._get_compressed_triangulation()
+
+
+def test_tricontourf_decreasing_levels():
+    # github issue 5477.
+    x = [0.0, 1.0, 1.0]
+    y = [0.0, 0.0, 1.0]
+    z = [0.2, 0.4, 0.6]
+    plt.figure()
+    with pytest.raises(ValueError):
+        plt.tricontourf(x, y, z, [1.0, 0.0])
+
+
+def test_internal_cpp_api() -> None:
+    # Following github issue 8197.
+    from matplotlib import _tri  # noqa: F401, ensure lazy-loaded module *is* loaded.
+
+    # C++ Triangulation.
+    with pytest.raises(
+            TypeError,
+            match=r'__init__\(\): incompatible constructor arguments.'):
+        mpl._tri.Triangulation()  # type: ignore[call-arg]
+
+    with pytest.raises(
+            ValueError, match=r'x and y must be 1D arrays of the same length'):
+        mpl._tri.Triangulation(np.array([]), np.array([1]), np.array([[]]), (), (), (),
+                               False)
+
+    x = np.array([0, 1, 1], dtype=np.float64)
+    y = np.array([0, 0, 1], dtype=np.float64)
+    with pytest.raises(
+            ValueError,
+            match=r'triangles must be a 2D array of shape \(\?,3\)'):
+        mpl._tri.Triangulation(x, y, np.array([[0, 1]]), (), (), (), False)
+
+    tris = np.array([[0, 1, 2]], dtype=np.int_)
+    with pytest.raises(
+            ValueError,
+            match=r'mask must be a 1D array with the same length as the '
+                  r'triangles array'):
+        mpl._tri.Triangulation(x, y, tris, np.array([0, 1]), (), (), False)
+
+    with pytest.raises(
+            ValueError, match=r'edges must be a 2D array with shape \(\?,2\)'):
+        mpl._tri.Triangulation(x, y, tris, (), np.array([[1]]), (), False)
+
+    with pytest.raises(
+            ValueError,
+            match=r'neighbors must be a 2D array with the same shape as the '
+                  r'triangles array'):
+        mpl._tri.Triangulation(x, y, tris, (), (), np.array([[-1]]), False)
+
+    triang = mpl._tri.Triangulation(x, y, tris, (), (), (), False)
+
+    with pytest.raises(
+            ValueError,
+            match=r'z must be a 1D array with the same length as the '
+                  r'triangulation x and y arrays'):
+        triang.calculate_plane_coefficients([])
+
+    for mask in ([0, 1], None):
+        with pytest.raises(
+                ValueError,
+                match=r'mask must be a 1D array with the same length as the '
+                      r'triangles array'):
+            triang.set_mask(mask)  # type: ignore[arg-type]
+
+    triang.set_mask(np.array([True]))
+    assert_array_equal(triang.get_edges(), np.empty((0, 2)))
+
+    triang.set_mask(())  # Equivalent to Python Triangulation mask=None
+    assert_array_equal(triang.get_edges(), [[1, 0], [2, 0], [2, 1]])
+
+    # C++ TriContourGenerator.
+    with pytest.raises(
+            TypeError,
+            match=r'__init__\(\): incompatible constructor arguments.'):
+        mpl._tri.TriContourGenerator()  # type: ignore[call-arg]
+
+    with pytest.raises(
+            ValueError,
+            match=r'z must be a 1D array with the same length as the x and y arrays'):
+        mpl._tri.TriContourGenerator(triang, np.array([1]))
+
+    z = np.array([0, 1, 2])
+    tcg = mpl._tri.TriContourGenerator(triang, z)
+
+    with pytest.raises(
+            ValueError, match=r'filled contour levels must be increasing'):
+        tcg.create_filled_contour(1, 0)
+
+    # C++ TrapezoidMapTriFinder.
+    with pytest.raises(
+            TypeError,
+            match=r'__init__\(\): incompatible constructor arguments.'):
+        mpl._tri.TrapezoidMapTriFinder()  # type: ignore[call-arg]
+
+    trifinder = mpl._tri.TrapezoidMapTriFinder(triang)
+
+    with pytest.raises(
+            ValueError, match=r'x and y must be array-like with same shape'):
+        trifinder.find_many(np.array([0]), np.array([0, 1]))
+
+
+def test_qhull_large_offset():
+    # github issue 8682.
+    x = np.asarray([0, 1, 0, 1, 0.5])
+    y = np.asarray([0, 0, 1, 1, 0.5])
+
+    offset = 1e10
+    triang = mtri.Triangulation(x, y)
+    triang_offset = mtri.Triangulation(x + offset, y + offset)
+    assert len(triang.triangles) == len(triang_offset.triangles)
+
+
+def test_tricontour_non_finite_z():
+    # github issue 10167.
+    x = [0, 1, 0, 1]
+    y = [0, 0, 1, 1]
+    triang = mtri.Triangulation(x, y)
+    plt.figure()
+
+    with pytest.raises(ValueError, match='z array must not contain non-finite '
+                                         'values within the triangulation'):
+        plt.tricontourf(triang, [0, 1, 2, np.inf])
+
+    with pytest.raises(ValueError, match='z array must not contain non-finite '
+                                         'values within the triangulation'):
+        plt.tricontourf(triang, [0, 1, 2, -np.inf])
+
+    with pytest.raises(ValueError, match='z array must not contain non-finite '
+                                         'values within the triangulation'):
+        plt.tricontourf(triang, [0, 1, 2, np.nan])
+
+    with pytest.raises(ValueError, match='z must not contain masked points '
+                                         'within the triangulation'):
+        plt.tricontourf(triang, np.ma.array([0, 1, 2, 3], mask=[1, 0, 0, 0]))
+
+
+def test_tricontourset_reuse():
+    # If TriContourSet returned from one tricontour(f) call is passed as first
+    # argument to another the underlying C++ contour generator will be reused.
+    x = [0.0, 0.5, 1.0]
+    y = [0.0, 1.0, 0.0]
+    z = [1.0, 2.0, 3.0]
+    fig, ax = plt.subplots()
+    tcs1 = ax.tricontourf(x, y, z)
+    tcs2 = ax.tricontour(x, y, z)
+    assert tcs2._contour_generator != tcs1._contour_generator
+    tcs3 = ax.tricontour(tcs1, z)
+    assert tcs3._contour_generator == tcs1._contour_generator
+
+
+@check_figures_equal()
+def test_triplot_with_ls(fig_test, fig_ref):
+    x = [0, 2, 1]
+    y = [0, 0, 1]
+    data = [[0, 1, 2]]
+    fig_test.subplots().triplot(x, y, data, ls='--')
+    fig_ref.subplots().triplot(x, y, data, linestyle='--')
+
+
+def test_triplot_label():
+    x = [0, 2, 1]
+    y = [0, 0, 1]
+    data = [[0, 1, 2]]
+    fig, ax = plt.subplots()
+    lines, markers = ax.triplot(x, y, data, label='label')
+    handles, labels = ax.get_legend_handles_labels()
+    assert labels == ['label']
+    assert len(handles) == 1
+    assert handles[0] is lines
+
+
+def test_tricontour_path():
+    x = [0, 4, 4, 0, 2]
+    y = [0, 0, 4, 4, 2]
+    triang = mtri.Triangulation(x, y)
+    _, ax = plt.subplots()
+
+    # Line strip from boundary to boundary
+    cs = ax.tricontour(triang, [1, 0, 0, 0, 0], levels=[0.5])
+    paths = cs.get_paths()
+    assert len(paths) == 1
+    expected_vertices = [[2, 0], [1, 1], [0, 2]]
+    assert_array_almost_equal(paths[0].vertices, expected_vertices)
+    assert_array_equal(paths[0].codes, [1, 2, 2])
+    assert_array_almost_equal(
+        paths[0].to_polygons(closed_only=False), [expected_vertices])
+
+    # Closed line loop inside domain
+    cs = ax.tricontour(triang, [0, 0, 0, 0, 1], levels=[0.5])
+    paths = cs.get_paths()
+    assert len(paths) == 1
+    expected_vertices = [[3, 1], [3, 3], [1, 3], [1, 1], [3, 1]]
+    assert_array_almost_equal(paths[0].vertices, expected_vertices)
+    assert_array_equal(paths[0].codes, [1, 2, 2, 2, 79])
+    assert_array_almost_equal(paths[0].to_polygons(), [expected_vertices])
+
+
+def test_tricontourf_path():
+    x = [0, 4, 4, 0, 2]
+    y = [0, 0, 4, 4, 2]
+    triang = mtri.Triangulation(x, y)
+    _, ax = plt.subplots()
+
+    # Polygon inside domain
+    cs = ax.tricontourf(triang, [0, 0, 0, 0, 1], levels=[0.5, 1.5])
+    paths = cs.get_paths()
+    assert len(paths) == 1
+    expected_vertices = [[3, 1], [3, 3], [1, 3], [1, 1], [3, 1]]
+    assert_array_almost_equal(paths[0].vertices, expected_vertices)
+    assert_array_equal(paths[0].codes, [1, 2, 2, 2, 79])
+    assert_array_almost_equal(paths[0].to_polygons(), [expected_vertices])
+
+    # Polygon following boundary and inside domain
+    cs = ax.tricontourf(triang, [1, 0, 0, 0, 0], levels=[0.5, 1.5])
+    paths = cs.get_paths()
+    assert len(paths) == 1
+    expected_vertices = [[2, 0], [1, 1], [0, 2], [0, 0], [2, 0]]
+    assert_array_almost_equal(paths[0].vertices, expected_vertices)
+    assert_array_equal(paths[0].codes, [1, 2, 2, 2, 79])
+    assert_array_almost_equal(paths[0].to_polygons(), [expected_vertices])
+
+    # Polygon is outer boundary with hole
+    cs = ax.tricontourf(triang, [0, 0, 0, 0, 1], levels=[-0.5, 0.5])
+    paths = cs.get_paths()
+    assert len(paths) == 1
+    expected_vertices = [[0, 0], [4, 0], [4, 4], [0, 4], [0, 0],
+                         [1, 1], [1, 3], [3, 3], [3, 1], [1, 1]]
+    assert_array_almost_equal(paths[0].vertices, expected_vertices)
+    assert_array_equal(paths[0].codes, [1, 2, 2, 2, 79, 1, 2, 2, 2, 79])
+    assert_array_almost_equal(paths[0].to_polygons(), np.split(expected_vertices, [5]))
diff --git a/lib/matplotlib/tests/test_ttconv.py b/lib/matplotlib/tests/test_ttconv.py
deleted file mode 100644
index 63dd928144c2..000000000000
--- a/lib/matplotlib/tests/test_ttconv.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib
-from matplotlib.font_manager import FontProperties
-from matplotlib.testing.decorators import image_comparison
-import matplotlib.pyplot as plt
-import os.path
-
-
-@image_comparison(baseline_images=["truetype-conversion"],
-                  extensions=["pdf"])
-def test_truetype_conversion():
-    fontname = os.path.join(os.path.dirname(__file__), 'mpltest.ttf')
-    fontname = os.path.abspath(fontname)
-    fontprop = FontProperties(fname=fontname, size=80)
-    matplotlib.rcParams['pdf.fonttype'] = 3
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-    ax.text(0, 0, "ABCDE", fontproperties=fontprop)
-    ax.set_xticks([])
-    ax.set_yticks([])
diff --git a/lib/matplotlib/tests/test_type1font.py b/lib/matplotlib/tests/test_type1font.py
new file mode 100644
index 000000000000..b2f93ef28a26
--- /dev/null
+++ b/lib/matplotlib/tests/test_type1font.py
@@ -0,0 +1,160 @@
+import matplotlib._type1font as t1f
+import os.path
+import difflib
+import pytest
+
+
+def test_Type1Font():
+    filename = os.path.join(os.path.dirname(__file__), 'data', 'cmr10.pfb')
+    font = t1f.Type1Font(filename)
+    slanted = font.transform({'slant': 1})
+    condensed = font.transform({'extend': 0.5})
+    with open(filename, 'rb') as fd:
+        rawdata = fd.read()
+    assert font.parts[0] == rawdata[0x0006:0x10c5]
+    assert font.parts[1] == rawdata[0x10cb:0x897f]
+    assert font.parts[2] == rawdata[0x8985:0x8ba6]
+    assert font.decrypted.startswith(b'dup\n/Private 18 dict dup begin')
+    assert font.decrypted.endswith(b'mark currentfile closefile\n')
+    assert slanted.decrypted.startswith(b'dup\n/Private 18 dict dup begin')
+    assert slanted.decrypted.endswith(b'mark currentfile closefile\n')
+    assert b'UniqueID 5000793' in font.parts[0]
+    assert b'UniqueID 5000793' in font.decrypted
+    assert font._pos['UniqueID'] == [(797, 818), (4483, 4504)]
+
+    len0 = len(font.parts[0])
+    for key in font._pos.keys():
+        for pos0, pos1 in font._pos[key]:
+            if pos0 < len0:
+                data = font.parts[0][pos0:pos1]
+            else:
+                data = font.decrypted[pos0-len0:pos1-len0]
+            assert data.startswith(f'/{key}'.encode('ascii'))
+    assert {'FontType', 'FontMatrix', 'PaintType', 'ItalicAngle', 'RD'
+            } < set(font._pos.keys())
+
+    assert b'UniqueID 5000793' not in slanted.parts[0]
+    assert b'UniqueID 5000793' not in slanted.decrypted
+    assert 'UniqueID' not in slanted._pos
+    assert font.prop['Weight'] == 'Medium'
+    assert not font.prop['isFixedPitch']
+    assert font.prop['ItalicAngle'] == 0
+    assert slanted.prop['ItalicAngle'] == -45
+    assert font.prop['Encoding'][5] == 'Pi'
+    assert isinstance(font.prop['CharStrings']['Pi'], bytes)
+    assert font._abbr['ND'] == 'ND'
+
+    differ = difflib.Differ()
+    diff = list(differ.compare(
+        font.parts[0].decode('latin-1').splitlines(),
+        slanted.parts[0].decode('latin-1').splitlines()))
+    for line in (
+         # Removes UniqueID
+         '- /UniqueID 5000793 def',
+         # Changes the font name
+         '- /FontName /CMR10 def',
+         '+ /FontName/CMR10_Slant_1000 def',
+         # Alters FontMatrix
+         '- /FontMatrix [0.001 0 0 0.001 0 0 ]readonly def',
+         '+ /FontMatrix [0.001 0 0.001 0.001 0 0] readonly def',
+         # Alters ItalicAngle
+         '-  /ItalicAngle 0 def',
+         '+  /ItalicAngle -45.0 def'):
+        assert line in diff, 'diff to slanted font must contain %s' % line
+
+    diff = list(differ.compare(
+        font.parts[0].decode('latin-1').splitlines(),
+        condensed.parts[0].decode('latin-1').splitlines()))
+    for line in (
+         # Removes UniqueID
+         '- /UniqueID 5000793 def',
+         # Changes the font name
+         '- /FontName /CMR10 def',
+         '+ /FontName/CMR10_Extend_500 def',
+         # Alters FontMatrix
+         '- /FontMatrix [0.001 0 0 0.001 0 0 ]readonly def',
+         '+ /FontMatrix [0.0005 0 0 0.001 0 0] readonly def'):
+        assert line in diff, 'diff to condensed font must contain %s' % line
+
+
+def test_Type1Font_2():
+    filename = os.path.join(os.path.dirname(__file__), 'data',
+                            'Courier10PitchBT-Bold.pfb')
+    font = t1f.Type1Font(filename)
+    assert font.prop['Weight'] == 'Bold'
+    assert font.prop['isFixedPitch']
+    assert font.prop['Encoding'][65] == 'A'  # the font uses StandardEncoding
+    (pos0, pos1), = font._pos['Encoding']
+    assert font.parts[0][pos0:pos1] == b'/Encoding StandardEncoding'
+    assert font._abbr['ND'] == '|-'
+
+
+def test_tokenize():
+    data = (b'1234/abc false -9.81  Foo <<[0 1 2]<0 1ef a\t>>>\n'
+            b'(string with(nested\t\\) par)ens\\\\)')
+    #         1           2          x    2     xx1
+    # 1 and 2 are matching parens, x means escaped character
+    n, w, num, kw, d = 'name', 'whitespace', 'number', 'keyword', 'delimiter'
+    b, s = 'boolean', 'string'
+    correct = [
+        (num, 1234), (n, 'abc'), (w, ' '), (b, False), (w, ' '), (num, -9.81),
+        (w, '  '), (kw, 'Foo'), (w, ' '), (d, '<<'), (d, '['), (num, 0),
+        (w, ' '), (num, 1), (w, ' '), (num, 2), (d, ']'), (s, b'\x01\xef\xa0'),
+        (d, '>>'), (w, '\n'), (s, 'string with(nested\t) par)ens\\')
+    ]
+    correct_no_ws = [x for x in correct if x[0] != w]
+
+    def convert(tokens):
+        return [(t.kind, t.value()) for t in tokens]
+
+    assert convert(t1f._tokenize(data, False)) == correct
+    assert convert(t1f._tokenize(data, True)) == correct_no_ws
+
+    def bin_after(n):
+        tokens = t1f._tokenize(data, True)
+        result = []
+        for _ in range(n):
+            result.append(next(tokens))
+        result.append(tokens.send(10))
+        return convert(result)
+
+    for n in range(1, len(correct_no_ws)):
+        result = bin_after(n)
+        assert result[:-1] == correct_no_ws[:n]
+        assert result[-1][0] == 'binary'
+        assert isinstance(result[-1][1], bytes)
+
+
+def test_tokenize_errors():
+    with pytest.raises(ValueError):
+        list(t1f._tokenize(b'1234 (this (string) is unterminated\\)', True))
+    with pytest.raises(ValueError):
+        list(t1f._tokenize(b'/Foo<01234', True))
+    with pytest.raises(ValueError):
+        list(t1f._tokenize(b'/Foo<01234abcg>/Bar', True))
+
+
+def test_overprecision():
+    # We used to output too many digits in FontMatrix entries and
+    # ItalicAngle, which could make Type-1 parsers unhappy.
+    filename = os.path.join(os.path.dirname(__file__), 'data', 'cmr10.pfb')
+    font = t1f.Type1Font(filename)
+    slanted = font.transform({'slant': .167})
+    lines = slanted.parts[0].decode('ascii').splitlines()
+    matrix, = (line[line.index('[')+1:line.index(']')]
+               for line in lines if '/FontMatrix' in line)
+    angle, = (word
+              for line in lines if '/ItalicAngle' in line
+              for word in line.split() if word[0] in '-0123456789')
+    # the following used to include 0.00016700000000000002
+    assert matrix == '0.001 0 0.000167 0.001 0 0'
+    # and here we had -9.48090361795083
+    assert angle == '-9.4809'
+
+
+def test_encrypt_decrypt_roundtrip():
+    data = b'this is my plaintext \0\1\2\3'
+    encrypted = t1f.Type1Font._encrypt(data, 'eexec')
+    decrypted = t1f.Type1Font._decrypt(encrypted, 'eexec')
+    assert encrypted != decrypted
+    assert data == decrypted
diff --git a/lib/matplotlib/tests/test_units.py b/lib/matplotlib/tests/test_units.py
new file mode 100644
index 000000000000..d2350667e94f
--- /dev/null
+++ b/lib/matplotlib/tests/test_units.py
@@ -0,0 +1,353 @@
+from datetime import datetime, timezone, timedelta
+import platform
+from unittest.mock import MagicMock
+
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+import matplotlib.patches as mpatches
+import matplotlib.units as munits
+from matplotlib.category import StrCategoryConverter, UnitData
+from matplotlib.dates import DateConverter
+import numpy as np
+import pytest
+
+
+# Basic class that wraps numpy array and has units
+class Quantity:
+    def __init__(self, data, units):
+        self.magnitude = data
+        self.units = units
+
+    def to(self, new_units):
+        factors = {('hours', 'seconds'): 3600, ('minutes', 'hours'): 1 / 60,
+                   ('minutes', 'seconds'): 60, ('feet', 'miles'): 1 / 5280.,
+                   ('feet', 'inches'): 12, ('miles', 'inches'): 12 * 5280}
+        if self.units != new_units:
+            mult = factors[self.units, new_units]
+            return Quantity(mult * self.magnitude, new_units)
+        else:
+            return Quantity(self.magnitude, self.units)
+
+    def __copy__(self):
+        return Quantity(self.magnitude, self.units)
+
+    def __getattr__(self, attr):
+        return getattr(self.magnitude, attr)
+
+    def __getitem__(self, item):
+        if np.iterable(self.magnitude):
+            return Quantity(self.magnitude[item], self.units)
+        else:
+            return Quantity(self.magnitude, self.units)
+
+    def __array__(self):
+        return np.asarray(self.magnitude)
+
+
+@pytest.fixture
+def quantity_converter():
+    # Create an instance of the conversion interface and
+    # mock so we can check methods called
+    qc = munits.ConversionInterface()
+
+    def convert(value, unit, axis):
+        if hasattr(value, 'units'):
+            return value.to(unit).magnitude
+        elif np.iterable(value):
+            try:
+                return [v.to(unit).magnitude for v in value]
+            except AttributeError:
+                return [Quantity(v, axis.get_units()).to(unit).magnitude
+                        for v in value]
+        else:
+            return Quantity(value, axis.get_units()).to(unit).magnitude
+
+    def default_units(value, axis):
+        if hasattr(value, 'units'):
+            return value.units
+        elif np.iterable(value):
+            for v in value:
+                if hasattr(v, 'units'):
+                    return v.units
+            return None
+
+    qc.convert = MagicMock(side_effect=convert)
+    qc.axisinfo = MagicMock(side_effect=lambda u, a:
+                            munits.AxisInfo(label=u, default_limits=(0, 100)))
+    qc.default_units = MagicMock(side_effect=default_units)
+    return qc
+
+
+# Tests that the conversion machinery works properly for classes that
+# work as a facade over numpy arrays (like pint)
+@image_comparison(['plot_pint.png'], style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.03)
+def test_numpy_facade(quantity_converter):
+    # use former defaults to match existing baseline image
+    plt.rcParams['axes.formatter.limits'] = -7, 7
+
+    # Register the class
+    munits.registry[Quantity] = quantity_converter
+
+    # Simple test
+    y = Quantity(np.linspace(0, 30), 'miles')
+    x = Quantity(np.linspace(0, 5), 'hours')
+
+    fig, ax = plt.subplots()
+    fig.subplots_adjust(left=0.15)  # Make space for label
+    ax.plot(x, y, 'tab:blue')
+    ax.axhline(Quantity(26400, 'feet'), color='tab:red')
+    ax.axvline(Quantity(120, 'minutes'), color='tab:green')
+    ax.yaxis.set_units('inches')
+    ax.xaxis.set_units('seconds')
+
+    assert quantity_converter.convert.called
+    assert quantity_converter.axisinfo.called
+    assert quantity_converter.default_units.called
+
+
+# Tests gh-8908
+@image_comparison(['plot_masked_units.png'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.02)
+def test_plot_masked_units():
+    data = np.linspace(-5, 5)
+    data_masked = np.ma.array(data, mask=(data > -2) & (data < 2))
+    data_masked_units = Quantity(data_masked, 'meters')
+
+    fig, ax = plt.subplots()
+    ax.plot(data_masked_units)
+
+
+def test_empty_set_limits_with_units(quantity_converter):
+    # Register the class
+    munits.registry[Quantity] = quantity_converter
+
+    fig, ax = plt.subplots()
+    ax.set_xlim(Quantity(-1, 'meters'), Quantity(6, 'meters'))
+    ax.set_ylim(Quantity(-1, 'hours'), Quantity(16, 'hours'))
+
+
+@image_comparison(['jpl_bar_units.png'],
+                  savefig_kwarg={'dpi': 120}, style='mpl20')
+def test_jpl_bar_units():
+    import matplotlib.testing.jpl_units as units
+    units.register()
+
+    day = units.Duration("ET", 24.0 * 60.0 * 60.0)
+    x = [0 * units.km, 1 * units.km, 2 * units.km]
+    w = [1 * day, 2 * day, 3 * day]
+    b = units.Epoch("ET", dt=datetime(2009, 4, 26))
+    fig, ax = plt.subplots()
+    ax.bar(x, w, bottom=b)
+    ax.set_ylim([b - 1 * day, b + w[-1] + (1.001) * day])
+
+
+@image_comparison(['jpl_barh_units.png'],
+                  savefig_kwarg={'dpi': 120}, style='mpl20')
+def test_jpl_barh_units():
+    import matplotlib.testing.jpl_units as units
+    units.register()
+
+    day = units.Duration("ET", 24.0 * 60.0 * 60.0)
+    x = [0 * units.km, 1 * units.km, 2 * units.km]
+    w = [1 * day, 2 * day, 3 * day]
+    b = units.Epoch("ET", dt=datetime(2009, 4, 26))
+
+    fig, ax = plt.subplots()
+    ax.barh(x, w, left=b)
+    ax.set_xlim([b - 1 * day, b + w[-1] + (1.001) * day])
+
+
+def test_jpl_datetime_units_consistent():
+    import matplotlib.testing.jpl_units as units
+    units.register()
+
+    dt = datetime(2009, 4, 26)
+    jpl = units.Epoch("ET", dt=dt)
+    dt_conv = munits.registry.get_converter(dt).convert(dt, None, None)
+    jpl_conv = munits.registry.get_converter(jpl).convert(jpl, None, None)
+    assert dt_conv == jpl_conv
+
+
+def test_empty_arrays():
+    # Check that plotting an empty array with a dtype works
+    plt.scatter(np.array([], dtype='datetime64[ns]'), np.array([]))
+
+
+def test_scatter_element0_masked():
+    times = np.arange('2005-02', '2005-03', dtype='datetime64[D]')
+    y = np.arange(len(times), dtype=float)
+    y[0] = np.nan
+    fig, ax = plt.subplots()
+    ax.scatter(times, y)
+    fig.canvas.draw()
+
+
+def test_errorbar_mixed_units():
+    x = np.arange(10)
+    y = [datetime(2020, 5, i * 2 + 1) for i in x]
+    fig, ax = plt.subplots()
+    ax.errorbar(x, y, timedelta(days=0.5))
+    fig.canvas.draw()
+
+
+@check_figures_equal()
+def test_subclass(fig_test, fig_ref):
+    class subdate(datetime):
+        pass
+
+    fig_test.subplots().plot(subdate(2000, 1, 1), 0, "o")
+    fig_ref.subplots().plot(datetime(2000, 1, 1), 0, "o")
+
+
+def test_shared_axis_quantity(quantity_converter):
+    munits.registry[Quantity] = quantity_converter
+    x = Quantity(np.linspace(0, 1, 10), "hours")
+    y1 = Quantity(np.linspace(1, 2, 10), "feet")
+    y2 = Quantity(np.linspace(3, 4, 10), "feet")
+    fig, (ax1, ax2) = plt.subplots(2, 1, sharex='all', sharey='all')
+    ax1.plot(x, y1)
+    ax2.plot(x, y2)
+    assert ax1.xaxis.get_units() == ax2.xaxis.get_units() == "hours"
+    assert ax2.yaxis.get_units() == ax2.yaxis.get_units() == "feet"
+    ax1.xaxis.set_units("seconds")
+    ax2.yaxis.set_units("inches")
+    assert ax1.xaxis.get_units() == ax2.xaxis.get_units() == "seconds"
+    assert ax1.yaxis.get_units() == ax2.yaxis.get_units() == "inches"
+
+
+def test_shared_axis_datetime():
+    # datetime uses dates.DateConverter
+    y1 = [datetime(2020, i, 1, tzinfo=timezone.utc) for i in range(1, 13)]
+    y2 = [datetime(2021, i, 1, tzinfo=timezone.utc) for i in range(1, 13)]
+    fig, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
+    ax1.plot(y1)
+    ax2.plot(y2)
+    ax1.yaxis.set_units(timezone(timedelta(hours=5)))
+    assert ax2.yaxis.units == timezone(timedelta(hours=5))
+
+
+def test_shared_axis_categorical():
+    # str uses category.StrCategoryConverter
+    d1 = {"a": 1, "b": 2}
+    d2 = {"a": 3, "b": 4}
+    fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)
+    ax1.plot(d1.keys(), d1.values())
+    ax2.plot(d2.keys(), d2.values())
+    ax1.xaxis.set_units(UnitData(["c", "d"]))
+    assert "c" in ax2.xaxis.get_units()._mapping.keys()
+
+
+def test_explicit_converter():
+    d1 = {"a": 1, "b": 2}
+    str_cat_converter = StrCategoryConverter()
+    str_cat_converter_2 = StrCategoryConverter()
+    date_converter = DateConverter()
+
+    # Explicit is set
+    fig1, ax1 = plt.subplots()
+    ax1.xaxis.set_converter(str_cat_converter)
+    assert ax1.xaxis.get_converter() == str_cat_converter
+    # Explicit not overridden by implicit
+    ax1.plot(d1.keys(), d1.values())
+    assert ax1.xaxis.get_converter() == str_cat_converter
+    # No error when called twice with equivalent input
+    ax1.xaxis.set_converter(str_cat_converter)
+    # Error when explicit called twice
+    with pytest.raises(RuntimeError):
+        ax1.xaxis.set_converter(str_cat_converter_2)
+
+    fig2, ax2 = plt.subplots()
+    ax2.plot(d1.keys(), d1.values())
+
+    # No error when equivalent type is used
+    ax2.xaxis.set_converter(str_cat_converter)
+
+    fig3, ax3 = plt.subplots()
+    ax3.plot(d1.keys(), d1.values())
+
+    # Warn when implicit overridden
+    with pytest.warns():
+        ax3.xaxis.set_converter(date_converter)
+
+
+def test_empty_default_limits(quantity_converter):
+    munits.registry[Quantity] = quantity_converter
+    fig, ax1 = plt.subplots()
+    ax1.xaxis.update_units(Quantity([10], "miles"))
+    fig.draw_without_rendering()
+    assert ax1.get_xlim() == (0, 100)
+    ax1.yaxis.update_units(Quantity([10], "miles"))
+    fig.draw_without_rendering()
+    assert ax1.get_ylim() == (0, 100)
+
+    fig, ax = plt.subplots()
+    ax.axhline(30)
+    ax.plot(Quantity(np.arange(0, 3), "miles"),
+            Quantity(np.arange(0, 6, 2), "feet"))
+    fig.draw_without_rendering()
+    assert ax.get_xlim() == (0, 2)
+    assert ax.get_ylim() == (0, 30)
+
+    fig, ax = plt.subplots()
+    ax.axvline(30)
+    ax.plot(Quantity(np.arange(0, 3), "miles"),
+            Quantity(np.arange(0, 6, 2), "feet"))
+    fig.draw_without_rendering()
+    assert ax.get_xlim() == (0, 30)
+    assert ax.get_ylim() == (0, 4)
+
+    fig, ax = plt.subplots()
+    ax.xaxis.update_units(Quantity([10], "miles"))
+    ax.axhline(30)
+    fig.draw_without_rendering()
+    assert ax.get_xlim() == (0, 100)
+    assert ax.get_ylim() == (28.5, 31.5)
+
+    fig, ax = plt.subplots()
+    ax.yaxis.update_units(Quantity([10], "miles"))
+    ax.axvline(30)
+    fig.draw_without_rendering()
+    assert ax.get_ylim() == (0, 100)
+    assert ax.get_xlim() == (28.5, 31.5)
+
+
+# test array-like objects...
+class Kernel:
+    def __init__(self, array):
+        self._array = np.asanyarray(array)
+
+    def __array__(self, dtype=None, copy=None):
+        if dtype is not None and dtype != self._array.dtype:
+            if copy is not None and not copy:
+                raise ValueError(
+                    f"Converting array from {self._array.dtype} to "
+                    f"{dtype} requires a copy"
+                )
+
+        arr = np.asarray(self._array, dtype=dtype)
+        return (arr if not copy else np.copy(arr))
+
+    @property
+    def shape(self):
+        return self._array.shape
+
+
+def test_plot_kernel():
+    # just a smoketest that fail
+    kernel = Kernel([1, 2, 3, 4, 5])
+    plt.plot(kernel)
+
+
+def test_connection_patch_units(pd):
+    # tests that this doesn't raise an error
+    fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(10, 5))
+    x = pd.Timestamp('2017-01-01T12')
+    ax1.axvline(x)
+    y = "test test"
+    ax2.axhline(y)
+    arr = mpatches.ConnectionPatch((x, 0), (0, y),
+                                   coordsA='data', coordsB='data',
+                                   axesA=ax1, axesB=ax2)
+    fig.add_artist(arr)
+    fig.draw_without_rendering()
diff --git a/lib/matplotlib/tests/test_usetex.py b/lib/matplotlib/tests/test_usetex.py
new file mode 100644
index 000000000000..95eb69325622
--- /dev/null
+++ b/lib/matplotlib/tests/test_usetex.py
@@ -0,0 +1,258 @@
+import re
+from tempfile import TemporaryFile
+
+import numpy as np
+from packaging.version import parse as parse_version
+import pytest
+
+import matplotlib as mpl
+from matplotlib import dviread
+from matplotlib.testing import _has_tex_package
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing._markers import needs_usetex
+import matplotlib.pyplot as plt
+
+
+pytestmark = needs_usetex
+
+
+@image_comparison(
+    baseline_images=['test_usetex'],
+    extensions=['pdf', 'png'],
+    style="mpl20")
+def test_usetex():
+    mpl.rcParams['text.usetex'] = True
+    fig, ax = plt.subplots()
+    kwargs = {"verticalalignment": "baseline", "size": 24,
+              "bbox": dict(pad=0, edgecolor="k", facecolor="none")}
+    ax.text(0.2, 0.7,
+            # the \LaTeX macro exercises character sizing and placement,
+            # \left[ ... \right\} draw some variable-height characters,
+            # \sqrt and \frac draw horizontal rules, \mathrm changes the font
+            r'\LaTeX\ $\left[\int\limits_e^{2e}'
+            r'\sqrt\frac{\log^3 x}{x}\,\mathrm{d}x \right\}$',
+            **kwargs)
+    ax.text(0.2, 0.3, "lg", **kwargs)
+    ax.text(0.4, 0.3, r"$\frac{1}{2}\pi$", **kwargs)
+    ax.text(0.6, 0.3, "$p^{3^A}$", **kwargs)
+    ax.text(0.8, 0.3, "$p_{3_2}$", **kwargs)
+    for x in {t.get_position()[0] for t in ax.texts}:
+        ax.axvline(x)
+    for y in {t.get_position()[1] for t in ax.texts}:
+        ax.axhline(y)
+    ax.set_axis_off()
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_empty(fig_test, fig_ref):
+    mpl.rcParams['text.usetex'] = True
+    fig_test.text(.5, .5, "% a comment")
+
+
+@check_figures_equal(extensions=['png', 'pdf', 'svg'])
+def test_unicode_minus(fig_test, fig_ref):
+    mpl.rcParams['text.usetex'] = True
+    fig_test.text(.5, .5, "$-$")
+    fig_ref.text(.5, .5, "\N{MINUS SIGN}")
+
+
+def test_mathdefault():
+    plt.rcParams["axes.formatter.use_mathtext"] = True
+    fig = plt.figure()
+    fig.add_subplot().set_xlim(-1, 1)
+    # Check that \mathdefault commands generated by tickers don't cause
+    # problems when later switching usetex on.
+    mpl.rcParams['text.usetex'] = True
+    fig.canvas.draw()
+
+
+@image_comparison(['eqnarray.png'])
+def test_multiline_eqnarray():
+    text = (
+        r'\begin{eqnarray*}'
+        r'foo\\'
+        r'bar\\'
+        r'baz\\'
+        r'\end{eqnarray*}'
+    )
+
+    fig = plt.figure(figsize=(1, 1))
+    fig.text(0.5, 0.5, text, usetex=True,
+             horizontalalignment='center', verticalalignment='center')
+
+
+@pytest.mark.parametrize("fontsize", [8, 10, 12])
+def test_minus_no_descent(fontsize):
+    # Test special-casing of minus descent in DviFont._height_depth_of, by
+    # checking that overdrawing a 1 and a -1 results in an overall height
+    # equivalent to drawing either of them separately.
+    mpl.style.use("mpl20")
+    mpl.rcParams['font.size'] = fontsize
+    heights = {}
+    fig = plt.figure()
+    for vals in [(1,), (-1,), (-1, 1)]:
+        fig.clear()
+        for x in vals:
+            fig.text(.5, .5, f"${x}$", usetex=True)
+        fig.canvas.draw()
+        # The following counts the number of non-fully-blank pixel rows.
+        heights[vals] = ((np.array(fig.canvas.buffer_rgba())[..., 0] != 255)
+                         .any(axis=1).sum())
+    assert len({*heights.values()}) == 1
+
+
+@pytest.mark.parametrize('pkg', ['xcolor', 'chemformula'])
+def test_usetex_packages(pkg):
+    if not _has_tex_package(pkg):
+        pytest.skip(f'{pkg} is not available')
+    mpl.rcParams['text.usetex'] = True
+
+    fig = plt.figure()
+    text = fig.text(0.5, 0.5, "Some text 0123456789")
+    fig.canvas.draw()
+
+    mpl.rcParams['text.latex.preamble'] = (
+        r'\PassOptionsToPackage{dvipsnames}{xcolor}\usepackage{%s}' % pkg)
+    fig = plt.figure()
+    text2 = fig.text(0.5, 0.5, "Some text 0123456789")
+    fig.canvas.draw()
+    np.testing.assert_array_equal(text2.get_window_extent(),
+                                  text.get_window_extent())
+
+
+@pytest.mark.parametrize(
+    "preamble",
+    [r"\usepackage[full]{textcomp}", r"\usepackage{underscore}"],
+)
+def test_latex_pkg_already_loaded(preamble):
+    plt.rcParams["text.latex.preamble"] = preamble
+    fig = plt.figure()
+    fig.text(.5, .5, "hello, world", usetex=True)
+    fig.canvas.draw()
+
+
+def test_usetex_with_underscore():
+    plt.rcParams["text.usetex"] = True
+    df = {"a_b": range(5)[::-1], "c": range(5)}
+    fig, ax = plt.subplots()
+    ax.plot("c", "a_b", data=df)
+    ax.legend()
+    ax.text(0, 0, "foo_bar", usetex=True)
+    plt.draw()
+
+
+@pytest.mark.flaky(reruns=3)  # Tends to hit a TeX cache lock on AppVeyor.
+@pytest.mark.parametrize("fmt", ["pdf", "svg"])
+def test_missing_psfont(fmt, monkeypatch):
+    """An error is raised if a TeX font lacks a Type-1 equivalent"""
+    monkeypatch.setattr(
+        dviread.PsfontsMap, '__getitem__',
+        lambda self, k: dviread.PsFont(
+            texname=b'texfont', psname=b'Some Font',
+            effects=None, encoding=None, filename=None))
+    mpl.rcParams['text.usetex'] = True
+    fig, ax = plt.subplots()
+    ax.text(0.5, 0.5, 'hello')
+    with TemporaryFile() as tmpfile, pytest.raises(ValueError):
+        fig.savefig(tmpfile, format=fmt)
+
+
+def test_pdf_type1_font_subsetting():
+    """Test that fonts in PDF output are properly subset."""
+    pikepdf = pytest.importorskip("pikepdf")
+
+    mpl.rcParams["text.usetex"] = True
+    mpl.rcParams["text.latex.preamble"] = r"\usepackage{amssymb}"
+    fig, ax = plt.subplots()
+    ax.text(0.2, 0.7, r"$\int_{-\infty}^{\aleph}\sqrt{\alpha\beta\gamma}\mathrm{d}x$")
+    ax.text(0.2, 0.5, r"$\mathfrak{x}\circledcirc\mathfrak{y}\in\mathbb{R}$")
+
+    with TemporaryFile() as tmpfile:
+        fig.savefig(tmpfile, format="pdf")
+        tmpfile.seek(0)
+        pdf = pikepdf.Pdf.open(tmpfile)
+
+        length = {}
+        page = pdf.pages[0]
+        for font_name, font in page.Resources.Font.items():
+            assert font.Subtype == "/Type1", (
+                f"Font {font_name}={font} is not a Type 1 font"
+            )
+
+            # Subsetted font names have a 6-character tag followed by a '+'
+            base_font = str(font["/BaseFont"]).removeprefix("/")
+            assert re.match(r"^[A-Z]{6}\+", base_font), (
+                f"Font {font_name}={base_font} lacks a subset indicator tag"
+            )
+            assert "/FontFile" in font.FontDescriptor, (
+                f"Type 1 font {font_name}={base_font} is not embedded"
+            )
+            _, original_name = base_font.split("+", 1)
+            length[original_name] = len(bytes(font["/FontDescriptor"]["/FontFile"]))
+
+    print("Embedded font stream lengths:", length)
+    # We should have several fonts, each much smaller than the original.
+    # I get under 10kB on my system for each font, but allow 15kB in case
+    # of differences in the font files.
+    assert {
+        'CMEX10',
+        'CMMI12',
+        'CMR12',
+        'CMSY10',
+        'CMSY8',
+        'EUFM10',
+        'MSAM10',
+        'MSBM10',
+    }.issubset(length), "Missing expected fonts in the PDF"
+    for font_name, length in length.items():
+        assert length < 15_000, (
+            f"Font {font_name}={length} is larger than expected"
+        )
+
+    # For comparison, lengths without subsetting on my system:
+    #  'CMEX10': 29686
+    #  'CMMI12': 36176
+    #  'CMR12': 32157
+    #  'CMSY10': 32004
+    #  'CMSY8': 32061
+    #  'EUFM10': 20546
+    #  'MSAM10': 31199
+    #  'MSBM10': 34129
+
+
+try:
+    _old_gs_version = mpl._get_executable_info('gs').version < parse_version('9.55')
+except mpl.ExecutableNotFoundError:
+    _old_gs_version = True
+
+
+@image_comparison(baseline_images=['rotation'], extensions=['eps', 'pdf', 'png', 'svg'],
+                  style='mpl20', tol=3.91 if _old_gs_version else 0)
+def test_rotation():
+    mpl.rcParams['text.usetex'] = True
+
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1])
+    ax.set(xlim=[-0.5, 5], xticks=[], ylim=[-0.5, 3], yticks=[], frame_on=False)
+
+    text = {val: val[0] for val in ['top', 'center', 'bottom', 'left', 'right']}
+    text['baseline'] = 'B'
+    text['center_baseline'] = 'C'
+
+    for i, va in enumerate(['top', 'center', 'bottom', 'baseline', 'center_baseline']):
+        for j, ha in enumerate(['left', 'center', 'right']):
+            for k, angle in enumerate([0, 90, 180, 270]):
+                k //= 2
+                x = i + k / 2
+                y = j + k / 2
+                ax.plot(x, y, '+', c=f'C{k}', markersize=20, markeredgewidth=0.5)
+                # 'My' checks full height letters plus descenders.
+                ax.text(x, y, f"$\\mathrm{{My {text[ha]}{text[va]} {angle}}}$",
+                        rotation=angle, horizontalalignment=ha, verticalalignment=va)
+
+
+def test_unicode_sizing():
+    tp = mpl.textpath.TextToPath()
+    scale1 = tp.get_glyphs_tex(mpl.font_manager.FontProperties(), "W")[0][0][3]
+    scale2 = tp.get_glyphs_tex(mpl.font_manager.FontProperties(), r"\textwon")[0][0][3]
+    assert scale1 == scale2
diff --git a/lib/matplotlib/tests/test_utf32_be_rcparams.rc b/lib/matplotlib/tests/test_utf32_be_rcparams.rc
deleted file mode 100644
index defc20eeef39..000000000000
Binary files a/lib/matplotlib/tests/test_utf32_be_rcparams.rc and /dev/null differ
diff --git a/lib/matplotlib/tests/test_widgets.py b/lib/matplotlib/tests/test_widgets.py
index 64b0e342a21b..808863fd6a94 100644
--- a/lib/matplotlib/tests/test_widgets.py
+++ b/lib/matplotlib/tests/test_widgets.py
@@ -1,170 +1,1759 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-try:
-    # mock in python 3.3+
-    from unittest import mock
-except ImportError:
-    import mock
+import functools
+import io
+import operator
+from unittest import mock
 
+from matplotlib.backend_bases import MouseEvent
+import matplotlib.colors as mcolors
 import matplotlib.widgets as widgets
 import matplotlib.pyplot as plt
-from matplotlib.testing.decorators import cleanup
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.testing.widgets import (click_and_drag, do_event, get_ax,
+                                        mock_event, noop)
 
+import numpy as np
+from numpy.testing import assert_allclose
 
-def get_event(ax, button=1, xdata=0, ydata=0, key=None, step=1):
-    """
-     *name*
-        the event name
+import pytest
 
-    *canvas*
-        the FigureCanvas instance generating the event
 
-    *guiEvent*
-        the GUI event that triggered the matplotlib event
+@pytest.fixture
+def ax():
+    return get_ax()
 
-    *x*
-        x position - pixels from left of canvas
 
-    *y*
-        y position - pixels from bottom of canvas
+def test_save_blitted_widget_as_pdf():
+    from matplotlib.widgets import CheckButtons, RadioButtons
+    from matplotlib.cbook import _get_running_interactive_framework
+    if _get_running_interactive_framework() not in ['headless', None]:
+        pytest.xfail("Callback exceptions are not raised otherwise.")
 
-    *inaxes*
-        the :class:`~matplotlib.axes.Axes` instance if mouse is over axes
+    fig, ax = plt.subplots(
+        nrows=2, ncols=2, figsize=(5, 2), width_ratios=[1, 2]
+    )
+    default_rb = RadioButtons(ax[0, 0], ['Apples', 'Oranges'])
+    styled_rb = RadioButtons(
+        ax[0, 1], ['Apples', 'Oranges'],
+        label_props={'color': ['red', 'orange'],
+                     'fontsize': [16, 20]},
+        radio_props={'edgecolor': ['red', 'orange'],
+                     'facecolor': ['mistyrose', 'peachpuff']}
+    )
 
-    *xdata*
-        x coord of mouse in data coords
+    default_cb = CheckButtons(ax[1, 0], ['Apples', 'Oranges'],
+                              actives=[True, True])
+    styled_cb = CheckButtons(
+        ax[1, 1], ['Apples', 'Oranges'],
+        actives=[True, True],
+        label_props={'color': ['red', 'orange'],
+                     'fontsize': [16, 20]},
+        frame_props={'edgecolor': ['red', 'orange'],
+                     'facecolor': ['mistyrose', 'peachpuff']},
+        check_props={'color': ['darkred', 'darkorange']}
+    )
 
-    *ydata*
-        y coord of mouse in data coords
+    ax[0, 0].set_title('Default')
+    ax[0, 1].set_title('Stylized')
+    # force an Agg render
+    fig.canvas.draw()
+    # force a pdf save
+    with io.BytesIO() as result_after:
+        fig.savefig(result_after, format='pdf')
 
-     *button*
-        button pressed None, 1, 2, 3, 'up', 'down' (up and down are used
-        for scroll events)
 
-    *key*
-        the key depressed when the mouse event triggered (see
-        :class:`KeyEvent`)
+@pytest.mark.parametrize('kwargs', [
+    dict(),
+    dict(useblit=True, button=1),
+    dict(minspanx=10, minspany=10, spancoords='pixels'),
+    dict(props=dict(fill=True)),
+])
+def test_rectangle_selector(ax, kwargs):
+    onselect = mock.Mock(spec=noop, return_value=None)
 
-    *step*
-        number of scroll steps (positive for 'up', negative for 'down')
-    """
-    event = mock.Mock()
-    event.button = button
-    event.x, event.y = ax.transData.transform([(xdata, ydata),
-                                               (xdata, ydata)])[00]
-    event.xdata, event.ydata = xdata, ydata
-    event.inaxes = ax
-    event.canvas = ax.figure.canvas
-    event.key = key
-    event.step = step
-    event.guiEvent = None
-    event.name = 'Custom'
-    return event
-
-
-@cleanup
-def check_rectangle(**kwargs):
-    fig, ax = plt.subplots(1, 1)
-    ax.plot([0, 200], [0, 200])
-    ax.figure.canvas.draw()
+    tool = widgets.RectangleSelector(ax, onselect=onselect, **kwargs)
+    do_event(tool, 'press', xdata=100, ydata=100, button=1)
+    do_event(tool, 'onmove', xdata=199, ydata=199, button=1)
 
-    def onselect(epress, erelease):
-        ax._got_onselect = True
-        assert epress.xdata == 100
-        assert epress.ydata == 100
-        assert erelease.xdata == 200
-        assert erelease.ydata == 200
+    # purposely drag outside of axis for release
+    do_event(tool, 'release', xdata=250, ydata=250, button=1)
 
-    tool = widgets.RectangleSelector(ax, onselect, **kwargs)
-    event = get_event(ax, xdata=100, ydata=100, button=1)
-    tool.press(event)
+    if kwargs.get('drawtype', None) not in ['line', 'none']:
+        assert_allclose(tool.geometry,
+                        [[100., 100, 199, 199, 100],
+                         [100, 199, 199, 100, 100]],
+                        err_msg=tool.geometry)
 
-    event = get_event(ax, xdata=125, ydata=125, button=1)
-    tool.onmove(event)
+    onselect.assert_called_once()
+    (epress, erelease), kwargs = onselect.call_args
+    assert epress.xdata == 100
+    assert epress.ydata == 100
+    assert erelease.xdata == 199
+    assert erelease.ydata == 199
+    assert kwargs == {}
 
-    # purposely drag outside of axis for release
-    event = get_event(ax, xdata=250, ydata=250, button=1)
-    tool.release(event)
 
-    assert ax._got_onselect
+@pytest.mark.parametrize('spancoords', ['data', 'pixels'])
+@pytest.mark.parametrize('minspanx, x1', [[0, 10], [1, 10.5], [1, 11]])
+@pytest.mark.parametrize('minspany, y1', [[0, 10], [1, 10.5], [1, 11]])
+def test_rectangle_minspan(ax, spancoords, minspanx, x1, minspany, y1):
 
+    onselect = mock.Mock(spec=noop, return_value=None)
 
-def test_rectangle_selector():
-    check_rectangle()
-    check_rectangle(drawtype='line', useblit=False)
-    check_rectangle(useblit=True, button=1)
-    check_rectangle(drawtype='none', minspanx=10, minspany=10)
-    check_rectangle(minspanx=10, minspany=10, spancoords='pixels')
-    check_rectangle(rectprops=dict(fill=True))
+    x0, y0 = (10, 10)
+    if spancoords == 'pixels':
+        minspanx, minspany = (ax.transData.transform((x1, y1)) -
+                              ax.transData.transform((x0, y0)))
 
+    tool = widgets.RectangleSelector(ax, onselect=onselect, interactive=True,
+                                     spancoords=spancoords,
+                                     minspanx=minspanx, minspany=minspany)
+    # Too small to create a selector
+    click_and_drag(tool, start=(x0, x1), end=(y0, y1))
+    assert not tool._selection_completed
+    onselect.assert_not_called()
 
-@cleanup
-def check_span(*args, **kwargs):
-    fig, ax = plt.subplots(1, 1)
-    ax.plot([0, 200], [0, 200])
-    ax.figure.canvas.draw()
+    click_and_drag(tool, start=(20, 20), end=(30, 30))
+    assert tool._selection_completed
+    onselect.assert_called_once()
 
-    def onselect(vmin, vmax):
-        ax._got_onselect = True
-        assert vmin == 100
-        assert vmax == 150
+    # Too small to create a selector. Should clear existing selector, and
+    # trigger onselect because there was a preexisting selector
+    onselect.reset_mock()
+    click_and_drag(tool, start=(x0, y0), end=(x1, y1))
+    assert not tool._selection_completed
+    onselect.assert_called_once()
+    (epress, erelease), kwargs = onselect.call_args
+    assert epress.xdata == x0
+    assert epress.ydata == y0
+    assert erelease.xdata == x1
+    assert erelease.ydata == y1
+    assert kwargs == {}
+
+
+@pytest.mark.parametrize('drag_from_anywhere, new_center',
+                         [[True, (60, 75)],
+                          [False, (30, 20)]])
+def test_rectangle_drag(ax, drag_from_anywhere, new_center):
+    tool = widgets.RectangleSelector(ax, interactive=True,
+                                     drag_from_anywhere=drag_from_anywhere)
+    # Create rectangle
+    click_and_drag(tool, start=(0, 10), end=(100, 120))
+    assert tool.center == (50, 65)
+    # Drag inside rectangle, but away from centre handle
+    #
+    # If drag_from_anywhere == True, this will move the rectangle by (10, 10),
+    # giving it a new center of (60, 75)
+    #
+    # If drag_from_anywhere == False, this will create a new rectangle with
+    # center (30, 20)
+    click_and_drag(tool, start=(25, 15), end=(35, 25))
+    assert tool.center == new_center
+    # Check that in both cases, dragging outside the rectangle draws a new
+    # rectangle
+    click_and_drag(tool, start=(175, 185), end=(185, 195))
+    assert tool.center == (180, 190)
+
+
+def test_rectangle_selector_set_props_handle_props(ax):
+    tool = widgets.RectangleSelector(ax, interactive=True,
+                                     props=dict(facecolor='b', alpha=0.2),
+                                     handle_props=dict(alpha=0.5))
+    # Create rectangle
+    click_and_drag(tool, start=(0, 10), end=(100, 120))
+
+    artist = tool._selection_artist
+    assert artist.get_facecolor() == mcolors.to_rgba('b', alpha=0.2)
+    tool.set_props(facecolor='r', alpha=0.3)
+    assert artist.get_facecolor() == mcolors.to_rgba('r', alpha=0.3)
+
+    for artist in tool._handles_artists:
+        assert artist.get_markeredgecolor() == 'black'
+        assert artist.get_alpha() == 0.5
+    tool.set_handle_props(markeredgecolor='r', alpha=0.3)
+    for artist in tool._handles_artists:
+        assert artist.get_markeredgecolor() == 'r'
+        assert artist.get_alpha() == 0.3
+
+
+def test_rectangle_resize(ax):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Create rectangle
+    click_and_drag(tool, start=(0, 10), end=(100, 120))
+    assert tool.extents == (0.0, 100.0, 10.0, 120.0)
+
+    # resize NE handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[3]
+    xdata_new, ydata_new = xdata + 10, ydata + 5
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert tool.extents == (extents[0], xdata_new, extents[2], ydata_new)
+
+    # resize E handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdata_new, ydata_new = xdata + 10, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert tool.extents == (extents[0], xdata_new, extents[2], extents[3])
+
+    # resize W handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdata_new, ydata_new = xdata + 15, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert tool.extents == (xdata_new, extents[1], extents[2], extents[3])
+
+    # resize SW handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2]
+    xdata_new, ydata_new = xdata + 20, ydata + 25
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert tool.extents == (xdata_new, extents[1], ydata_new, extents[3])
+
+
+def test_rectangle_add_state(ax):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Create rectangle
+    click_and_drag(tool, start=(70, 65), end=(125, 130))
+
+    with pytest.raises(ValueError):
+        tool.add_state('unsupported_state')
+
+    with pytest.raises(ValueError):
+        tool.add_state('clear')
+    tool.add_state('move')
+    tool.add_state('square')
+    tool.add_state('center')
+
+
+@pytest.mark.parametrize('add_state', [True, False])
+def test_rectangle_resize_center(ax, add_state):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Create rectangle
+    click_and_drag(tool, start=(70, 65), end=(125, 130))
+    assert tool.extents == (70.0, 125.0, 65.0, 130.0)
+
+    if add_state:
+        tool.add_state('center')
+        use_key = None
+    else:
+        use_key = 'control'
+
+    # resize NE handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[3]
+    xdiff, ydiff = 10, 5
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0] - xdiff, xdata_new,
+                            extents[2] - ydiff, ydata_new)
+
+    # resize E handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 10
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0] - xdiff, xdata_new,
+                            extents[2], extents[3])
+
+    # resize E handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -20
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0] - xdiff, xdata_new,
+                            extents[2], extents[3])
+
+    # resize W handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 15
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (xdata_new, extents[1] - xdiff,
+                            extents[2], extents[3])
+
+    # resize W handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -25
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (xdata_new, extents[1] - xdiff,
+                            extents[2], extents[3])
+
+    # resize SW handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2]
+    xdiff, ydiff = 20, 25
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (xdata_new, extents[1] - xdiff,
+                            ydata_new, extents[3] - ydiff)
+
+
+@pytest.mark.parametrize('add_state', [True, False])
+def test_rectangle_resize_square(ax, add_state):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Create rectangle
+    click_and_drag(tool, start=(70, 65), end=(120, 115))
+    assert tool.extents == (70.0, 120.0, 65.0, 115.0)
+
+    if add_state:
+        tool.add_state('square')
+        use_key = None
+    else:
+        use_key = 'shift'
+
+    # resize NE handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[3]
+    xdiff, ydiff = 10, 5
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0], xdata_new,
+                            extents[2], extents[3] + xdiff)
+
+    # resize E handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 10
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0], xdata_new,
+                            extents[2], extents[3] + xdiff)
+
+    # resize E handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -20
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0], xdata_new,
+                            extents[2], extents[3] + xdiff)
+
+    # resize W handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 15
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (xdata_new, extents[1],
+                            extents[2], extents[3] - xdiff)
+
+    # resize W handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -25
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (xdata_new, extents[1],
+                            extents[2], extents[3] - xdiff)
+
+    # resize SW handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2]
+    xdiff, ydiff = 20, 25
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new),
+                   key=use_key)
+    assert tool.extents == (extents[0] + ydiff, extents[1],
+                            ydata_new, extents[3])
+
+
+def test_rectangle_resize_square_center(ax):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Create rectangle
+    click_and_drag(tool, start=(70, 65), end=(120, 115))
+    tool.add_state('square')
+    tool.add_state('center')
+    assert_allclose(tool.extents, (70.0, 120.0, 65.0, 115.0))
+
+    # resize NE handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[3]
+    xdiff, ydiff = 10, 5
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (extents[0] - xdiff, xdata_new,
+                                   extents[2] - xdiff, extents[3] + xdiff))
+
+    # resize E handle
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 10
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (extents[0] - xdiff, xdata_new,
+                                   extents[2] - xdiff, extents[3] + xdiff))
+
+    # resize E handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -20
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (extents[0] - xdiff, xdata_new,
+                                   extents[2] - xdiff, extents[3] + xdiff))
+
+    # resize W handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = 5
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (xdata_new, extents[1] - xdiff,
+                                   extents[2] + xdiff, extents[3] - xdiff))
+
+    # resize W handle negative diff
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
+    xdiff = -25
+    xdata_new, ydata_new = xdata + xdiff, ydata
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (xdata_new, extents[1] - xdiff,
+                                   extents[2] + xdiff, extents[3] - xdiff))
+
+    # resize SW handle
+    extents = tool.extents
+    xdata, ydata = extents[0], extents[2]
+    xdiff, ydiff = 20, 25
+    xdata_new, ydata_new = xdata + xdiff, ydata + ydiff
+    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+    assert_allclose(tool.extents, (extents[0] + ydiff, extents[1] - ydiff,
+                                   ydata_new, extents[3] - ydiff))
+
+
+@pytest.mark.parametrize('selector_class',
+                         [widgets.RectangleSelector, widgets.EllipseSelector])
+def test_rectangle_rotate(ax, selector_class):
+    tool = selector_class(ax, interactive=True)
+    # Draw rectangle
+    click_and_drag(tool, start=(100, 100), end=(130, 140))
+    assert tool.extents == (100, 130, 100, 140)
+    assert len(tool._state) == 0
+
+    # Rotate anticlockwise using top-right corner
+    do_event(tool, 'on_key_press', key='r')
+    assert tool._state == {'rotate'}
+    assert len(tool._state) == 1
+    click_and_drag(tool, start=(130, 140), end=(120, 145))
+    do_event(tool, 'on_key_press', key='r')
+    assert len(tool._state) == 0
+    # Extents shouldn't change (as shape of rectangle hasn't changed)
+    assert tool.extents == (100, 130, 100, 140)
+    assert_allclose(tool.rotation, 25.56, atol=0.01)
+    tool.rotation = 45
+    assert tool.rotation == 45
+    # Corners should move
+    assert_allclose(tool.corners,
+                    np.array([[118.53, 139.75, 111.46, 90.25],
+                              [95.25, 116.46, 144.75, 123.54]]), atol=0.01)
+
+    # Scale using top-right corner
+    click_and_drag(tool, start=(110, 145), end=(110, 160))
+    assert_allclose(tool.extents, (100, 139.75, 100, 151.82), atol=0.01)
+
+    if selector_class == widgets.RectangleSelector:
+        with pytest.raises(ValueError):
+            tool._selection_artist.rotation_point = 'unvalid_value'
+
+
+def test_rectangle_add_remove_set(ax):
+    tool = widgets.RectangleSelector(ax, interactive=True)
+    # Draw rectangle
+    click_and_drag(tool, start=(100, 100), end=(130, 140))
+    assert tool.extents == (100, 130, 100, 140)
+    assert len(tool._state) == 0
+    for state in ['rotate', 'square', 'center']:
+        tool.add_state(state)
+        assert len(tool._state) == 1
+        tool.remove_state(state)
+        assert len(tool._state) == 0
+
+
+@pytest.mark.parametrize('use_data_coordinates', [False, True])
+def test_rectangle_resize_square_center_aspect(ax, use_data_coordinates):
+    ax.set_aspect(0.8)
+
+    tool = widgets.RectangleSelector(ax, interactive=True,
+                                     use_data_coordinates=use_data_coordinates)
+    # Create rectangle
+    click_and_drag(tool, start=(70, 65), end=(120, 115))
+    assert tool.extents == (70.0, 120.0, 65.0, 115.0)
+    tool.add_state('square')
+    tool.add_state('center')
+
+    if use_data_coordinates:
+        # resize E handle
+        extents = tool.extents
+        xdata, ydata, width = extents[1], extents[3], extents[1] - extents[0]
+        xdiff, ycenter = 10,  extents[2] + (extents[3] - extents[2]) / 2
+        xdata_new, ydata_new = xdata + xdiff, ydata
+        ychange = width / 2 + xdiff
+        click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+        assert_allclose(tool.extents, [extents[0] - xdiff, xdata_new,
+                                       ycenter - ychange, ycenter + ychange])
+    else:
+        # resize E handle
+        extents = tool.extents
+        xdata, ydata = extents[1], extents[3]
+        xdiff = 10
+        xdata_new, ydata_new = xdata + xdiff, ydata
+        ychange = xdiff * 1 / tool._aspect_ratio_correction
+        click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
+        assert_allclose(tool.extents, [extents[0] - xdiff, xdata_new,
+                                       46.25, 133.75])
+
+
+def test_ellipse(ax):
+    """For ellipse, test out the key modifiers"""
+    tool = widgets.EllipseSelector(ax, grab_range=10, interactive=True)
+    tool.extents = (100, 150, 100, 150)
+
+    # drag the rectangle
+    click_and_drag(tool, start=(125, 125), end=(145, 145))
+    assert tool.extents == (120, 170, 120, 170)
+
+    # create from center
+    click_and_drag(tool, start=(100, 100), end=(125, 125), key='control')
+    assert tool.extents == (75, 125, 75, 125)
+
+    # create a square
+    click_and_drag(tool, start=(10, 10), end=(35, 30), key='shift')
+    extents = [int(e) for e in tool.extents]
+    assert extents == [10, 35, 10, 35]
+
+    # create a square from center
+    click_and_drag(tool, start=(100, 100), end=(125, 130), key='ctrl+shift')
+    extents = [int(e) for e in tool.extents]
+    assert extents == [70, 130, 70, 130]
+
+    assert tool.geometry.shape == (2, 73)
+    assert_allclose(tool.geometry[:, 0], [70., 100])
+
+
+def test_rectangle_handles(ax):
+    tool = widgets.RectangleSelector(ax, grab_range=10, interactive=True,
+                                     handle_props={'markerfacecolor': 'r',
+                                                   'markeredgecolor': 'b'})
+    tool.extents = (100, 150, 100, 150)
+
+    assert_allclose(tool.corners, ((100, 150, 150, 100), (100, 100, 150, 150)))
+    assert tool.extents == (100, 150, 100, 150)
+    assert_allclose(tool.edge_centers,
+                    ((100, 125.0, 150, 125.0), (125.0, 100, 125.0, 150)))
+    assert tool.extents == (100, 150, 100, 150)
 
-    def onmove(vmin, vmax):
-        assert vmin == 100
-        assert vmax == 125
-        ax._got_on_move = True
+    # grab a corner and move it
+    click_and_drag(tool, start=(100, 100), end=(120, 120))
+    assert tool.extents == (120, 150, 120, 150)
 
-    if 'onmove_callback' in kwargs:
+    # grab the center and move it
+    click_and_drag(tool, start=(132, 132), end=(120, 120))
+    assert tool.extents == (108, 138, 108, 138)
+
+    # create a new rectangle
+    click_and_drag(tool, start=(10, 10), end=(100, 100))
+    assert tool.extents == (10, 100, 10, 100)
+
+    # Check that marker_props worked.
+    assert mcolors.same_color(
+        tool._corner_handles.artists[0].get_markerfacecolor(), 'r')
+    assert mcolors.same_color(
+        tool._corner_handles.artists[0].get_markeredgecolor(), 'b')
+
+
+@pytest.mark.parametrize('interactive', [True, False])
+def test_rectangle_selector_onselect(ax, interactive):
+    # check when press and release events take place at the same position
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.RectangleSelector(ax, onselect=onselect, interactive=interactive)
+    # move outside of axis
+    click_and_drag(tool, start=(100, 110), end=(150, 120))
+
+    onselect.assert_called_once()
+    assert tool.extents == (100.0, 150.0, 110.0, 120.0)
+
+    onselect.reset_mock()
+    click_and_drag(tool, start=(10, 100), end=(10, 100))
+    onselect.assert_called_once()
+
+
+@pytest.mark.parametrize('ignore_event_outside', [True, False])
+def test_rectangle_selector_ignore_outside(ax, ignore_event_outside):
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.RectangleSelector(ax, onselect=onselect,
+                                     ignore_event_outside=ignore_event_outside)
+    click_and_drag(tool, start=(100, 110), end=(150, 120))
+    onselect.assert_called_once()
+    assert tool.extents == (100.0, 150.0, 110.0, 120.0)
+
+    onselect.reset_mock()
+    # Trigger event outside of span
+    click_and_drag(tool, start=(150, 150), end=(160, 160))
+    if ignore_event_outside:
+        # event have been ignored and span haven't changed.
+        onselect.assert_not_called()
+        assert tool.extents == (100.0, 150.0, 110.0, 120.0)
+    else:
+        # A new shape is created
+        onselect.assert_called_once()
+        assert tool.extents == (150.0, 160.0, 150.0, 160.0)
+
+
+@pytest.mark.parametrize('orientation, onmove_callback, kwargs', [
+    ('horizontal', False, dict(minspan=10, useblit=True)),
+    ('vertical', True, dict(button=1)),
+    ('horizontal', False, dict(props=dict(fill=True))),
+    ('horizontal', False, dict(interactive=True)),
+])
+def test_span_selector(ax, orientation, onmove_callback, kwargs):
+    onselect = mock.Mock(spec=noop, return_value=None)
+    onmove = mock.Mock(spec=noop, return_value=None)
+    if onmove_callback:
         kwargs['onmove_callback'] = onmove
 
-    tool = widgets.SpanSelector(ax, onselect, *args, **kwargs)
-    event = get_event(ax, xdata=100, ydata=100, button=1)
-    tool.press(event)
+    # While at it, also test that span selectors work in the presence of twin axes on
+    # top of the axes that contain the selector.  Note that we need to unforce the axes
+    # aspect here, otherwise the twin axes forces the original axes' limits (to respect
+    # aspect=1) which makes some of the values below go out of bounds.
+    ax.set_aspect("auto")
+    tax = ax.twinx()
+
+    tool = widgets.SpanSelector(ax, onselect, orientation, **kwargs)
+    do_event(tool, 'press', xdata=100, ydata=100, button=1)
+    # move outside of axis
+    do_event(tool, 'onmove', xdata=199, ydata=199, button=1)
+    do_event(tool, 'release', xdata=250, ydata=250, button=1)
+
+    onselect.assert_called_once_with(100, 199)
+    if onmove_callback:
+        onmove.assert_called_once_with(100, 199)
+
+
+@pytest.mark.parametrize('interactive', [True, False])
+def test_span_selector_onselect(ax, interactive):
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.SpanSelector(ax, onselect, 'horizontal',
+                                interactive=interactive)
+    # move outside of axis
+    click_and_drag(tool, start=(100, 100), end=(150, 100))
+    onselect.assert_called_once()
+    assert tool.extents == (100, 150)
+
+    onselect.reset_mock()
+    click_and_drag(tool, start=(10, 100), end=(10, 100))
+    onselect.assert_called_once()
+
+
+@pytest.mark.parametrize('ignore_event_outside', [True, False])
+def test_span_selector_ignore_outside(ax, ignore_event_outside):
+    onselect = mock.Mock(spec=noop, return_value=None)
+    onmove = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.SpanSelector(ax, onselect, 'horizontal',
+                                onmove_callback=onmove,
+                                ignore_event_outside=ignore_event_outside)
+    click_and_drag(tool, start=(100, 100), end=(125, 125))
+    onselect.assert_called_once()
+    onmove.assert_called_once()
+    assert tool.extents == (100, 125)
+
+    onselect.reset_mock()
+    onmove.reset_mock()
+    # Trigger event outside of span
+    click_and_drag(tool, start=(150, 150), end=(160, 160))
+    if ignore_event_outside:
+        # event have been ignored and span haven't changed.
+        onselect.assert_not_called()
+        onmove.assert_not_called()
+        assert tool.extents == (100, 125)
+    else:
+        # A new shape is created
+        onselect.assert_called_once()
+        onmove.assert_called_once()
+        assert tool.extents == (150, 160)
+
+
+@pytest.mark.parametrize('drag_from_anywhere', [True, False])
+def test_span_selector_drag(ax, drag_from_anywhere):
+    # Create span
+    tool = widgets.SpanSelector(ax, onselect=noop, direction='horizontal',
+                                interactive=True,
+                                drag_from_anywhere=drag_from_anywhere)
+    click_and_drag(tool, start=(10, 10), end=(100, 120))
+    assert tool.extents == (10, 100)
+    # Drag inside span
+    #
+    # If drag_from_anywhere == True, this will move the span by 10,
+    # giving new value extents = 20, 110
+    #
+    # If drag_from_anywhere == False, this will create a new span with
+    # value extents = 25, 35
+    click_and_drag(tool, start=(25, 15), end=(35, 25))
+    if drag_from_anywhere:
+        assert tool.extents == (20, 110)
+    else:
+        assert tool.extents == (25, 35)
+
+    # Check that in both cases, dragging outside the span draws a new span
+    click_and_drag(tool, start=(175, 185), end=(185, 195))
+    assert tool.extents == (175, 185)
+
+
+def test_span_selector_direction(ax):
+    tool = widgets.SpanSelector(ax, onselect=noop, direction='horizontal',
+                                interactive=True)
+    assert tool.direction == 'horizontal'
+    assert tool._edge_handles.direction == 'horizontal'
+
+    with pytest.raises(ValueError):
+        tool = widgets.SpanSelector(ax, onselect=noop,
+                                    direction='invalid_direction')
+
+    tool.direction = 'vertical'
+    assert tool.direction == 'vertical'
+    assert tool._edge_handles.direction == 'vertical'
+
+    with pytest.raises(ValueError):
+        tool.direction = 'invalid_string'
+
+
+def test_span_selector_set_props_handle_props(ax):
+    tool = widgets.SpanSelector(ax, onselect=noop, direction='horizontal',
+                                interactive=True,
+                                props=dict(facecolor='b', alpha=0.2),
+                                handle_props=dict(alpha=0.5))
+    # Create rectangle
+    click_and_drag(tool, start=(0, 10), end=(100, 120))
+
+    artist = tool._selection_artist
+    assert artist.get_facecolor() == mcolors.to_rgba('b', alpha=0.2)
+    tool.set_props(facecolor='r', alpha=0.3)
+    assert artist.get_facecolor() == mcolors.to_rgba('r', alpha=0.3)
+
+    for artist in tool._handles_artists:
+        assert artist.get_color() == 'b'
+        assert artist.get_alpha() == 0.5
+    tool.set_handle_props(color='r', alpha=0.3)
+    for artist in tool._handles_artists:
+        assert artist.get_color() == 'r'
+        assert artist.get_alpha() == 0.3
+
+
+@pytest.mark.parametrize('selector', ['span', 'rectangle'])
+def test_selector_clear(ax, selector):
+    kwargs = dict(ax=ax, interactive=True)
+    if selector == 'span':
+        Selector = widgets.SpanSelector
+        kwargs['direction'] = 'horizontal'
+        kwargs['onselect'] = noop
+    else:
+        Selector = widgets.RectangleSelector
 
-    event = get_event(ax, xdata=125, ydata=125, button=1)
-    tool.onmove(event)
+    tool = Selector(**kwargs)
+    click_and_drag(tool, start=(10, 10), end=(100, 120))
 
-    event = get_event(ax, xdata=150, ydata=150, button=1)
-    tool.release(event)
+    # press-release event outside the selector to clear the selector
+    click_and_drag(tool, start=(130, 130), end=(130, 130))
+    assert not tool._selection_completed
 
-    assert ax._got_onselect
+    kwargs['ignore_event_outside'] = True
+    tool = Selector(**kwargs)
+    assert tool.ignore_event_outside
+    click_and_drag(tool, start=(10, 10), end=(100, 120))
 
-    if 'onmove_callback' in kwargs:
-        assert ax._got_on_move
+    # press-release event outside the selector ignored
+    click_and_drag(tool, start=(130, 130), end=(130, 130))
+    assert tool._selection_completed
 
+    do_event(tool, 'on_key_press', key='escape')
+    assert not tool._selection_completed
 
-def test_span_selector():
-    check_span('horizontal', minspan=10, useblit=True)
-    check_span('vertical', onmove_callback=True, button=1)
-    check_span('horizontal', rectprops=dict(fill=True))
 
+@pytest.mark.parametrize('selector', ['span', 'rectangle'])
+def test_selector_clear_method(ax, selector):
+    if selector == 'span':
+        tool = widgets.SpanSelector(ax, onselect=noop, direction='horizontal',
+                                    interactive=True,
+                                    ignore_event_outside=True)
+    else:
+        tool = widgets.RectangleSelector(ax, interactive=True)
+    click_and_drag(tool, start=(10, 10), end=(100, 120))
+    assert tool._selection_completed
+    assert tool.get_visible()
+    if selector == 'span':
+        assert tool.extents == (10, 100)
 
-@cleanup
-def check_lasso_selector(**kwargs):
+    tool.clear()
+    assert not tool._selection_completed
+    assert not tool.get_visible()
+
+    # Do another cycle of events to make sure we can
+    click_and_drag(tool, start=(10, 10), end=(50, 120))
+    assert tool._selection_completed
+    assert tool.get_visible()
+    if selector == 'span':
+        assert tool.extents == (10, 50)
+
+
+def test_span_selector_add_state(ax):
+    tool = widgets.SpanSelector(ax, noop, 'horizontal',
+                                interactive=True)
+
+    with pytest.raises(ValueError):
+        tool.add_state('unsupported_state')
+    with pytest.raises(ValueError):
+        tool.add_state('center')
+    with pytest.raises(ValueError):
+        tool.add_state('square')
+
+    tool.add_state('move')
+
+
+def test_tool_line_handle(ax):
+    positions = [20, 30, 50]
+    tool_line_handle = widgets.ToolLineHandles(ax, positions, 'horizontal',
+                                               useblit=False)
+
+    for artist in tool_line_handle.artists:
+        assert not artist.get_animated()
+        assert not artist.get_visible()
+
+    tool_line_handle.set_visible(True)
+    tool_line_handle.set_animated(True)
+
+    for artist in tool_line_handle.artists:
+        assert artist.get_animated()
+        assert artist.get_visible()
+
+    assert tool_line_handle.positions == positions
+
+
+@pytest.mark.parametrize('direction', ("horizontal", "vertical"))
+def test_span_selector_bound(direction):
     fig, ax = plt.subplots(1, 1)
-    ax = plt.gca()
-    ax.plot([0, 200], [0, 200])
-    ax.figure.canvas.draw()
+    ax.plot([10, 20], [10, 30])
+    fig.canvas.draw()
+    x_bound = ax.get_xbound()
+    y_bound = ax.get_ybound()
+
+    tool = widgets.SpanSelector(ax, print, direction, interactive=True)
+    assert ax.get_xbound() == x_bound
+    assert ax.get_ybound() == y_bound
+
+    bound = x_bound if direction == 'horizontal' else y_bound
+    assert tool._edge_handles.positions == list(bound)
+
+    press_data = (10.5, 11.5)
+    move_data = (11, 13)  # Updating selector is done in onmove
+    release_data = move_data
+    click_and_drag(tool, start=press_data, end=move_data)
+
+    assert ax.get_xbound() == x_bound
+    assert ax.get_ybound() == y_bound
+
+    index = 0 if direction == 'horizontal' else 1
+    handle_positions = [press_data[index], release_data[index]]
+    assert tool._edge_handles.positions == handle_positions
 
-    def onselect(verts):
+
+@pytest.mark.backend('QtAgg', skip_on_importerror=True)
+def test_span_selector_animated_artists_callback():
+    """Check that the animated artists changed in callbacks are updated."""
+    x = np.linspace(0, 2 * np.pi, 100)
+    values = np.sin(x)
+
+    fig, ax = plt.subplots()
+    ln, = ax.plot(x, values, animated=True)
+    ln2, = ax.plot([], animated=True)
+
+    # spin the event loop to let the backend process any pending operations
+    # before drawing artists
+    # See blitting tutorial
+    plt.pause(0.1)
+    ax.draw_artist(ln)
+    fig.canvas.blit(fig.bbox)
+
+    def mean(vmin, vmax):
+        # Return mean of values in x between *vmin* and *vmax*
+        indmin, indmax = np.searchsorted(x, (vmin, vmax))
+        v = values[indmin:indmax].mean()
+        ln2.set_data(x, np.full_like(x, v))
+
+    span = widgets.SpanSelector(ax, mean, direction='horizontal',
+                                onmove_callback=mean,
+                                interactive=True,
+                                drag_from_anywhere=True,
+                                useblit=True)
+
+    # Add span selector and check that the line is draw after it was updated
+    # by the callback
+    press_data = [1, 2]
+    move_data = [2, 2]
+    do_event(span, 'press', xdata=press_data[0], ydata=press_data[1], button=1)
+    do_event(span, 'onmove', xdata=move_data[0], ydata=move_data[1], button=1)
+    assert span._get_animated_artists() == (ln, ln2)
+    assert ln.stale is False
+    assert ln2.stale
+    assert_allclose(ln2.get_ydata(), 0.9547335049088455)
+    span.update()
+    assert ln2.stale is False
+
+    # Change span selector and check that the line is drawn/updated after its
+    # value was updated by the callback
+    press_data = [4, 0]
+    move_data = [5, 2]
+    release_data = [5, 2]
+    do_event(span, 'press', xdata=press_data[0], ydata=press_data[1], button=1)
+    do_event(span, 'onmove', xdata=move_data[0], ydata=move_data[1], button=1)
+    assert ln.stale is False
+    assert ln2.stale
+    assert_allclose(ln2.get_ydata(), -0.9424150707548072)
+    do_event(span, 'release', xdata=release_data[0],
+             ydata=release_data[1], button=1)
+    assert ln2.stale is False
+
+
+def test_snapping_values_span_selector(ax):
+    def onselect(*args):
+        pass
+
+    tool = widgets.SpanSelector(ax, onselect, direction='horizontal',)
+    snap_function = tool._snap
+
+    snap_values = np.linspace(0, 5, 11)
+    values = np.array([-0.1, 0.1, 0.2, 0.5, 0.6, 0.7, 0.9, 4.76, 5.0, 5.5])
+    expect = np.array([00.0, 0.0, 0.0, 0.5, 0.5, 0.5, 1.0, 5.00, 5.0, 5.0])
+    values = snap_function(values, snap_values)
+    assert_allclose(values, expect)
+
+
+def test_span_selector_snap(ax):
+    def onselect(vmin, vmax):
         ax._got_onselect = True
-        assert verts == [(100, 100), (125, 125), (150, 150)]
 
-    tool = widgets.LassoSelector(ax, onselect, **kwargs)
-    event = get_event(ax, xdata=100, ydata=100, button=1)
-    tool.press(event)
+    snap_values = np.arange(50) * 4
+
+    tool = widgets.SpanSelector(ax, onselect, direction='horizontal',
+                                snap_values=snap_values)
+    tool.extents = (17, 35)
+    assert tool.extents == (16, 36)
+
+    tool.snap_values = None
+    assert tool.snap_values is None
+    tool.extents = (17, 35)
+    assert tool.extents == (17, 35)
+
+
+def test_span_selector_extents(ax):
+    tool = widgets.SpanSelector(
+        ax, lambda a, b: None, "horizontal", ignore_event_outside=True
+        )
+    tool.extents = (5, 10)
+
+    assert tool.extents == (5, 10)
+    assert tool._selection_completed
+
+    # Since `ignore_event_outside=True`, this event should be ignored
+    press_data = (12, 14)
+    release_data = (20, 14)
+    click_and_drag(tool, start=press_data, end=release_data)
+
+    assert tool.extents == (5, 10)
+
+
+@pytest.mark.parametrize('kwargs', [
+    dict(),
+    dict(useblit=False, props=dict(color='red')),
+    dict(useblit=True, button=1),
+])
+def test_lasso_selector(ax, kwargs):
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.LassoSelector(ax, onselect=onselect, **kwargs)
+    do_event(tool, 'press', xdata=100, ydata=100, button=1)
+    do_event(tool, 'onmove', xdata=125, ydata=125, button=1)
+    do_event(tool, 'release', xdata=150, ydata=150, button=1)
+
+    onselect.assert_called_once_with([(100, 100), (125, 125), (150, 150)])
+
+
+def test_lasso_selector_set_props(ax):
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.LassoSelector(ax, onselect=onselect,
+                                 props=dict(color='b', alpha=0.2))
+
+    artist = tool._selection_artist
+    assert mcolors.same_color(artist.get_color(), 'b')
+    assert artist.get_alpha() == 0.2
+    tool.set_props(color='r', alpha=0.3)
+    assert mcolors.same_color(artist.get_color(), 'r')
+    assert artist.get_alpha() == 0.3
+
+
+def test_lasso_set_props(ax):
+    onselect = mock.Mock(spec=noop, return_value=None)
+    tool = widgets.Lasso(ax, (100, 100), onselect)
+    line = tool.line
+    assert mcolors.same_color(line.get_color(), 'black')
+    assert line.get_linestyle() == '-'
+    assert line.get_lw() == 2
+    tool = widgets.Lasso(ax, (100, 100), onselect, props=dict(
+        linestyle='-', color='darkblue', alpha=0.2, lw=1))
+
+    line = tool.line
+    assert mcolors.same_color(line.get_color(), 'darkblue')
+    assert line.get_alpha() == 0.2
+    assert line.get_lw() == 1
+    assert line.get_linestyle() == '-'
+    line.set_color('r')
+    line.set_alpha(0.3)
+    assert mcolors.same_color(line.get_color(), 'r')
+    assert line.get_alpha() == 0.3
+
+
+def test_CheckButtons(ax):
+    labels = ('a', 'b', 'c')
+    check = widgets.CheckButtons(ax, labels, (True, False, True))
+    assert check.get_status() == [True, False, True]
+    check.set_active(0)
+    assert check.get_status() == [False, False, True]
+    assert check.get_checked_labels() == ['c']
+    check.clear()
+    assert check.get_status() == [False, False, False]
+    assert check.get_checked_labels() == []
+
+    for invalid_index in [-1, len(labels), len(labels)+5]:
+        with pytest.raises(ValueError):
+            check.set_active(index=invalid_index)
+
+    for invalid_value in ['invalid', -1]:
+        with pytest.raises(TypeError):
+            check.set_active(1, state=invalid_value)
+
+    cid = check.on_clicked(lambda: None)
+    check.disconnect(cid)
+
+
+@pytest.mark.parametrize("toolbar", ["none", "toolbar2", "toolmanager"])
+def test_TextBox(ax, toolbar):
+    # Avoid "toolmanager is provisional" warning.
+    plt.rcParams._set("toolbar", toolbar)
+
+    submit_event = mock.Mock(spec=noop, return_value=None)
+    text_change_event = mock.Mock(spec=noop, return_value=None)
+    tool = widgets.TextBox(ax, '')
+    tool.on_submit(submit_event)
+    tool.on_text_change(text_change_event)
+
+    assert tool.text == ''
+
+    do_event(tool, '_click')
+
+    tool.set_val('x**2')
+
+    assert tool.text == 'x**2'
+    assert text_change_event.call_count == 1
+
+    tool.begin_typing()
+    tool.stop_typing()
+
+    assert submit_event.call_count == 2
+
+    do_event(tool, '_click', xdata=.5, ydata=.5)  # Ensure the click is in the axes.
+    do_event(tool, '_keypress', key='+')
+    do_event(tool, '_keypress', key='5')
+
+    assert text_change_event.call_count == 3
+
+
+def test_RadioButtons(ax):
+    radio = widgets.RadioButtons(ax, ('Radio 1', 'Radio 2', 'Radio 3'))
+    radio.set_active(1)
+    assert radio.value_selected == 'Radio 2'
+    assert radio.index_selected == 1
+    radio.clear()
+    assert radio.value_selected == 'Radio 1'
+    assert radio.index_selected == 0
+
+
+@image_comparison(['check_radio_buttons.png'], style='mpl20', remove_text=True)
+def test_check_radio_buttons_image():
+    ax = get_ax()
+    fig = ax.get_figure(root=False)
+    fig.subplots_adjust(left=0.3)
+
+    rax1 = fig.add_axes((0.05, 0.7, 0.2, 0.15))
+    rb1 = widgets.RadioButtons(rax1, ('Radio 1', 'Radio 2', 'Radio 3'))
+
+    rax2 = fig.add_axes((0.05, 0.5, 0.2, 0.15))
+    cb1 = widgets.CheckButtons(rax2, ('Check 1', 'Check 2', 'Check 3'),
+                               (False, True, True))
+
+    rax3 = fig.add_axes((0.05, 0.3, 0.2, 0.15))
+    rb3 = widgets.RadioButtons(
+        rax3, ('Radio 1', 'Radio 2', 'Radio 3'),
+        label_props={'fontsize': [8, 12, 16],
+                     'color': ['red', 'green', 'blue']},
+        radio_props={'edgecolor': ['red', 'green', 'blue'],
+                     'facecolor': ['mistyrose', 'palegreen', 'lightblue']})
+
+    rax4 = fig.add_axes((0.05, 0.1, 0.2, 0.15))
+    cb4 = widgets.CheckButtons(
+        rax4, ('Check 1', 'Check 2', 'Check 3'), (False, True, True),
+        label_props={'fontsize': [8, 12, 16],
+                     'color': ['red', 'green', 'blue']},
+        frame_props={'edgecolor': ['red', 'green', 'blue'],
+                     'facecolor': ['mistyrose', 'palegreen', 'lightblue']},
+        check_props={'color': ['red', 'green', 'blue']})
+
+
+@check_figures_equal()
+def test_radio_buttons(fig_test, fig_ref):
+    widgets.RadioButtons(fig_test.subplots(), ["tea", "coffee"])
+    ax = fig_ref.add_subplot(xticks=[], yticks=[])
+    ax.scatter([.15, .15], [2/3, 1/3], transform=ax.transAxes,
+               s=(plt.rcParams["font.size"] / 2) ** 2, c=["C0", "none"])
+    ax.text(.25, 2/3, "tea", transform=ax.transAxes, va="center")
+    ax.text(.25, 1/3, "coffee", transform=ax.transAxes, va="center")
+
+
+@check_figures_equal()
+def test_radio_buttons_props(fig_test, fig_ref):
+    label_props = {'color': ['red'], 'fontsize': [24]}
+    radio_props = {'facecolor': 'green', 'edgecolor': 'blue', 'linewidth': 2}
+
+    widgets.RadioButtons(fig_ref.subplots(), ['tea', 'coffee'],
+                         label_props=label_props, radio_props=radio_props)
+
+    cb = widgets.RadioButtons(fig_test.subplots(), ['tea', 'coffee'])
+    cb.set_label_props(label_props)
+    # Setting the label size automatically increases default marker size, so we
+    # need to do that here as well.
+    cb.set_radio_props({**radio_props, 's': (24 / 2)**2})
+
+
+def test_radio_button_active_conflict(ax):
+    with pytest.warns(UserWarning,
+                      match=r'Both the \*activecolor\* parameter'):
+        rb = widgets.RadioButtons(ax, ['tea', 'coffee'], activecolor='red',
+                                  radio_props={'facecolor': 'green'})
+    # *radio_props*' facecolor wins over *activecolor*
+    assert mcolors.same_color(rb._buttons.get_facecolor(), ['green', 'none'])
+
+
+@check_figures_equal()
+def test_radio_buttons_activecolor_change(fig_test, fig_ref):
+    widgets.RadioButtons(fig_ref.subplots(), ['tea', 'coffee'],
+                         activecolor='green')
+
+    # Test property setter.
+    cb = widgets.RadioButtons(fig_test.subplots(), ['tea', 'coffee'],
+                              activecolor='red')
+    cb.activecolor = 'green'
+
+
+@check_figures_equal()
+def test_check_buttons(fig_test, fig_ref):
+    widgets.CheckButtons(fig_test.subplots(), ["tea", "coffee"], [True, True])
+    ax = fig_ref.add_subplot(xticks=[], yticks=[])
+    ax.scatter([.15, .15], [2/3, 1/3], marker='s', transform=ax.transAxes,
+               s=(plt.rcParams["font.size"] / 2) ** 2, c=["none", "none"])
+    ax.scatter([.15, .15], [2/3, 1/3], marker='x', transform=ax.transAxes,
+               s=(plt.rcParams["font.size"] / 2) ** 2, c=["k", "k"])
+    ax.text(.25, 2/3, "tea", transform=ax.transAxes, va="center")
+    ax.text(.25, 1/3, "coffee", transform=ax.transAxes, va="center")
+
+
+@check_figures_equal()
+def test_check_button_props(fig_test, fig_ref):
+    label_props = {'color': ['red'], 'fontsize': [24]}
+    frame_props = {'facecolor': 'green', 'edgecolor': 'blue', 'linewidth': 2}
+    check_props = {'facecolor': 'red', 'linewidth': 2}
+
+    widgets.CheckButtons(fig_ref.subplots(), ['tea', 'coffee'], [True, True],
+                         label_props=label_props, frame_props=frame_props,
+                         check_props=check_props)
+
+    cb = widgets.CheckButtons(fig_test.subplots(), ['tea', 'coffee'],
+                              [True, True])
+    cb.set_label_props(label_props)
+    # Setting the label size automatically increases default marker size, so we
+    # need to do that here as well.
+    cb.set_frame_props({**frame_props, 's': (24 / 2)**2})
+    # FIXME: Axes.scatter promotes facecolor to edgecolor on unfilled markers,
+    # but Collection.update doesn't do that (it forgot the marker already).
+    # This means we cannot pass facecolor to both setters directly.
+    check_props['edgecolor'] = check_props.pop('facecolor')
+    cb.set_check_props({**check_props, 's': (24 / 2)**2})
+
+
+def test_slider_slidermin_slidermax_invalid():
+    fig, ax = plt.subplots()
+    # test min/max with floats
+    with pytest.raises(ValueError):
+        widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                       slidermin=10.0)
+    with pytest.raises(ValueError):
+        widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                       slidermax=10.0)
+
+
+def test_slider_slidermin_slidermax():
+    fig, ax = plt.subplots()
+    slider_ = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                             valinit=5.0)
+
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=1.0, slidermin=slider_)
+    assert slider.val == slider_.val
+
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=10.0, slidermax=slider_)
+    assert slider.val == slider_.val
+
+
+def test_slider_valmin_valmax():
+    fig, ax = plt.subplots()
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=-10.0)
+    assert slider.val == slider.valmin
+
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=25.0)
+    assert slider.val == slider.valmax
+
+
+def test_slider_valstep_snapping():
+    fig, ax = plt.subplots()
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=11.4, valstep=1)
+    assert slider.val == 11
+
+    slider = widgets.Slider(ax=ax, label='', valmin=0.0, valmax=24.0,
+                            valinit=11.4, valstep=[0, 1, 5.5, 19.7])
+    assert slider.val == 5.5
+
+
+def test_slider_horizontal_vertical():
+    fig, ax = plt.subplots()
+    slider = widgets.Slider(ax=ax, label='', valmin=0, valmax=24,
+                            valinit=12, orientation='horizontal')
+    slider.set_val(10)
+    assert slider.val == 10
+    # check the dimension of the slider patch in axes units
+    box = slider.poly.get_extents().transformed(ax.transAxes.inverted())
+    assert_allclose(box.bounds, [0, .25, 10/24, .5])
+
+    fig, ax = plt.subplots()
+    slider = widgets.Slider(ax=ax, label='', valmin=0, valmax=24,
+                            valinit=12, orientation='vertical')
+    slider.set_val(10)
+    assert slider.val == 10
+    # check the dimension of the slider patch in axes units
+    box = slider.poly.get_extents().transformed(ax.transAxes.inverted())
+    assert_allclose(box.bounds, [.25, 0, .5, 10/24])
+
+
+def test_slider_reset():
+    fig, ax = plt.subplots()
+    slider = widgets.Slider(ax=ax, label='', valmin=0, valmax=1, valinit=.5)
+    slider.set_val(0.75)
+    slider.reset()
+    assert slider.val == 0.5
+
+
+@pytest.mark.parametrize("orientation", ["horizontal", "vertical"])
+def test_range_slider(orientation):
+    if orientation == "vertical":
+        idx = [1, 0, 3, 2]
+    else:
+        idx = [0, 1, 2, 3]
+
+    fig, ax = plt.subplots()
+
+    slider = widgets.RangeSlider(
+        ax=ax, label="", valmin=0.0, valmax=1.0, orientation=orientation,
+        valinit=[0.1, 0.34]
+    )
+    box = slider.poly.get_extents().transformed(ax.transAxes.inverted())
+    assert_allclose(box.get_points().flatten()[idx], [0.1, 0.25, 0.34, 0.75])
+
+    # Check initial value is set correctly
+    assert_allclose(slider.val, (0.1, 0.34))
+
+    def handle_positions(slider):
+        if orientation == "vertical":
+            return [h.get_ydata()[0] for h in slider._handles]
+        else:
+            return [h.get_xdata()[0] for h in slider._handles]
+
+    slider.set_val((0.4, 0.6))
+    assert_allclose(slider.val, (0.4, 0.6))
+    assert_allclose(handle_positions(slider), (0.4, 0.6))
+
+    box = slider.poly.get_extents().transformed(ax.transAxes.inverted())
+    assert_allclose(box.get_points().flatten()[idx], [0.4, .25, 0.6, .75])
+
+    slider.set_val((0.2, 0.1))
+    assert_allclose(slider.val, (0.1, 0.2))
+    assert_allclose(handle_positions(slider), (0.1, 0.2))
+
+    slider.set_val((-1, 10))
+    assert_allclose(slider.val, (0, 1))
+    assert_allclose(handle_positions(slider), (0, 1))
+
+    slider.reset()
+    assert_allclose(slider.val, (0.1, 0.34))
+    assert_allclose(handle_positions(slider), (0.1, 0.34))
+
+
+@pytest.mark.parametrize("orientation", ["horizontal", "vertical"])
+def test_range_slider_same_init_values(orientation):
+    if orientation == "vertical":
+        idx = [1, 0, 3, 2]
+    else:
+        idx = [0, 1, 2, 3]
+
+    fig, ax = plt.subplots()
+
+    slider = widgets.RangeSlider(
+         ax=ax, label="", valmin=0.0, valmax=1.0, orientation=orientation,
+         valinit=[0, 0]
+     )
+    box = slider.poly.get_extents().transformed(ax.transAxes.inverted())
+    assert_allclose(box.get_points().flatten()[idx], [0, 0.25, 0, 0.75])
+
+
+def check_polygon_selector(event_sequence, expected_result, selections_count,
+                           **kwargs):
+    """
+    Helper function to test Polygon Selector.
+
+    Parameters
+    ----------
+    event_sequence : list of tuples (etype, dict())
+        A sequence of events to perform. The sequence is a list of tuples
+        where the first element of the tuple is an etype (e.g., 'onmove',
+        'press', etc.), and the second element of the tuple is a dictionary of
+         the arguments for the event (e.g., xdata=5, key='shift', etc.).
+    expected_result : list of vertices (xdata, ydata)
+        The list of vertices that are expected to result from the event
+        sequence.
+    selections_count : int
+        Wait for the tool to call its `onselect` function `selections_count`
+        times, before comparing the result to the `expected_result`
+    **kwargs
+        Keyword arguments are passed to PolygonSelector.
+    """
+    ax = get_ax()
+
+    onselect = mock.Mock(spec=noop, return_value=None)
+
+    tool = widgets.PolygonSelector(ax, onselect=onselect, **kwargs)
+
+    for (etype, event_args) in event_sequence:
+        do_event(tool, etype, **event_args)
+
+    assert onselect.call_count == selections_count
+    assert onselect.call_args == ((expected_result, ), {})
+
+
+def polygon_place_vertex(xdata, ydata):
+    return [('onmove', dict(xdata=xdata, ydata=ydata)),
+            ('press', dict(xdata=xdata, ydata=ydata)),
+            ('release', dict(xdata=xdata, ydata=ydata))]
+
+
+def polygon_remove_vertex(xdata, ydata):
+    return [('onmove', dict(xdata=xdata, ydata=ydata)),
+            ('press', dict(xdata=xdata, ydata=ydata, button=3)),
+            ('release', dict(xdata=xdata, ydata=ydata, button=3))]
+
+
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+def test_polygon_selector(draw_bounding_box):
+    check_selector = functools.partial(
+        check_polygon_selector, draw_bounding_box=draw_bounding_box)
+
+    # Simple polygon
+    expected_result = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+    ]
+    check_selector(event_sequence, expected_result, 1)
+
+    # Move first vertex before completing the polygon.
+    expected_result = [(75, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        ('on_key_press', dict(key='control')),
+        ('onmove', dict(xdata=50, ydata=50)),
+        ('press', dict(xdata=50, ydata=50)),
+        ('onmove', dict(xdata=75, ydata=50)),
+        ('release', dict(xdata=75, ydata=50)),
+        ('on_key_release', dict(key='control')),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(75, 50),
+    ]
+    check_selector(event_sequence, expected_result, 1)
+
+    # Move first two vertices at once before completing the polygon.
+    expected_result = [(50, 75), (150, 75), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        ('on_key_press', dict(key='shift')),
+        ('onmove', dict(xdata=100, ydata=100)),
+        ('press', dict(xdata=100, ydata=100)),
+        ('onmove', dict(xdata=100, ydata=125)),
+        ('release', dict(xdata=100, ydata=125)),
+        ('on_key_release', dict(key='shift')),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 75),
+    ]
+    check_selector(event_sequence, expected_result, 1)
+
+    # Move first vertex after completing the polygon.
+    expected_result = [(75, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+        ('onmove', dict(xdata=50, ydata=50)),
+        ('press', dict(xdata=50, ydata=50)),
+        ('onmove', dict(xdata=75, ydata=50)),
+        ('release', dict(xdata=75, ydata=50)),
+    ]
+    check_selector(event_sequence, expected_result, 2)
+
+    # Move all vertices after completing the polygon.
+    expected_result = [(75, 75), (175, 75), (75, 175)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+        ('on_key_press', dict(key='shift')),
+        ('onmove', dict(xdata=100, ydata=100)),
+        ('press', dict(xdata=100, ydata=100)),
+        ('onmove', dict(xdata=125, ydata=125)),
+        ('release', dict(xdata=125, ydata=125)),
+        ('on_key_release', dict(key='shift')),
+    ]
+    check_selector(event_sequence, expected_result, 2)
+
+    # Try to move a vertex and move all before placing any vertices.
+    expected_result = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        ('on_key_press', dict(key='control')),
+        ('onmove', dict(xdata=100, ydata=100)),
+        ('press', dict(xdata=100, ydata=100)),
+        ('onmove', dict(xdata=125, ydata=125)),
+        ('release', dict(xdata=125, ydata=125)),
+        ('on_key_release', dict(key='control')),
+        ('on_key_press', dict(key='shift')),
+        ('onmove', dict(xdata=100, ydata=100)),
+        ('press', dict(xdata=100, ydata=100)),
+        ('onmove', dict(xdata=125, ydata=125)),
+        ('release', dict(xdata=125, ydata=125)),
+        ('on_key_release', dict(key='shift')),
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+    ]
+    check_selector(event_sequence, expected_result, 1)
+
+    # Try to place vertex out-of-bounds, then reset, and start a new polygon.
+    expected_result = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(250, 50),
+        ('on_key_press', dict(key='escape')),
+        ('on_key_release', dict(key='escape')),
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+    ]
+    check_selector(event_sequence, expected_result, 1)
+
+
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+def test_polygon_selector_set_props_handle_props(ax, draw_bounding_box):
+    tool = widgets.PolygonSelector(ax,
+                                   props=dict(color='b', alpha=0.2),
+                                   handle_props=dict(alpha=0.5),
+                                   draw_bounding_box=draw_bounding_box)
+
+    event_sequence = [
+        *polygon_place_vertex(50, 50),
+        *polygon_place_vertex(150, 50),
+        *polygon_place_vertex(50, 150),
+        *polygon_place_vertex(50, 50),
+    ]
+
+    for (etype, event_args) in event_sequence:
+        do_event(tool, etype, **event_args)
+
+    artist = tool._selection_artist
+    assert artist.get_color() == 'b'
+    assert artist.get_alpha() == 0.2
+    tool.set_props(color='r', alpha=0.3)
+    assert artist.get_color() == 'r'
+    assert artist.get_alpha() == 0.3
+
+    for artist in tool._handles_artists:
+        assert artist.get_color() == 'b'
+        assert artist.get_alpha() == 0.5
+    tool.set_handle_props(color='r', alpha=0.3)
+    for artist in tool._handles_artists:
+        assert artist.get_color() == 'r'
+        assert artist.get_alpha() == 0.3
+
+
+@check_figures_equal()
+def test_rect_visibility(fig_test, fig_ref):
+    # Check that requesting an invisible selector makes it invisible
+    ax_test = fig_test.subplots()
+    _ = fig_ref.subplots()
+
+    tool = widgets.RectangleSelector(ax_test, props={'visible': False})
+    tool.extents = (0.2, 0.8, 0.3, 0.7)
+
+
+# Change the order that the extra point is inserted in
+@pytest.mark.parametrize('idx', [1, 2, 3])
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+def test_polygon_selector_remove(idx, draw_bounding_box):
+    verts = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [polygon_place_vertex(*verts[0]),
+                      polygon_place_vertex(*verts[1]),
+                      polygon_place_vertex(*verts[2]),
+                      # Finish the polygon
+                      polygon_place_vertex(*verts[0])]
+    # Add an extra point
+    event_sequence.insert(idx, polygon_place_vertex(200, 200))
+    # Remove the extra point
+    event_sequence.append(polygon_remove_vertex(200, 200))
+    # Flatten list of lists
+    event_sequence = functools.reduce(operator.iadd, event_sequence, [])
+    check_polygon_selector(event_sequence, verts, 2,
+                           draw_bounding_box=draw_bounding_box)
+
+
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+def test_polygon_selector_remove_first_point(draw_bounding_box):
+    verts = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(*verts[0]),
+        *polygon_place_vertex(*verts[1]),
+        *polygon_place_vertex(*verts[2]),
+        *polygon_place_vertex(*verts[0]),
+        *polygon_remove_vertex(*verts[0]),
+    ]
+    check_polygon_selector(event_sequence, verts[1:], 2,
+                           draw_bounding_box=draw_bounding_box)
+
+
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+def test_polygon_selector_redraw(ax, draw_bounding_box):
+    verts = [(50, 50), (150, 50), (50, 150)]
+    event_sequence = [
+        *polygon_place_vertex(*verts[0]),
+        *polygon_place_vertex(*verts[1]),
+        *polygon_place_vertex(*verts[2]),
+        *polygon_place_vertex(*verts[0]),
+        # Polygon completed, now remove first two verts.
+        *polygon_remove_vertex(*verts[1]),
+        *polygon_remove_vertex(*verts[2]),
+        # At this point the tool should be reset so we can add more vertices.
+        *polygon_place_vertex(*verts[1]),
+    ]
+
+    tool = widgets.PolygonSelector(ax, draw_bounding_box=draw_bounding_box)
+    for (etype, event_args) in event_sequence:
+        do_event(tool, etype, **event_args)
+    # After removing two verts, only one remains, and the
+    # selector should be automatically reset
+    assert tool.verts == verts[0:2]
+
+
+@pytest.mark.parametrize('draw_bounding_box', [False, True])
+@check_figures_equal()
+def test_polygon_selector_verts_setter(fig_test, fig_ref, draw_bounding_box):
+    verts = [(0.1, 0.4), (0.5, 0.9), (0.3, 0.2)]
+    ax_test = fig_test.add_subplot()
+
+    tool_test = widgets.PolygonSelector(ax_test, draw_bounding_box=draw_bounding_box)
+    tool_test.verts = verts
+    assert tool_test.verts == verts
+
+    ax_ref = fig_ref.add_subplot()
+    tool_ref = widgets.PolygonSelector(ax_ref, draw_bounding_box=draw_bounding_box)
+    event_sequence = [
+        *polygon_place_vertex(*verts[0]),
+        *polygon_place_vertex(*verts[1]),
+        *polygon_place_vertex(*verts[2]),
+        *polygon_place_vertex(*verts[0]),
+    ]
+    for (etype, event_args) in event_sequence:
+        do_event(tool_ref, etype, **event_args)
+
+
+def test_polygon_selector_box(ax):
+    # Create a diamond (adjusting axes lims s.t. the diamond lies within axes limits).
+    ax.set(xlim=(-10, 50), ylim=(-10, 50))
+    verts = [(20, 0), (0, 20), (20, 40), (40, 20)]
+    event_sequence = [
+        *polygon_place_vertex(*verts[0]),
+        *polygon_place_vertex(*verts[1]),
+        *polygon_place_vertex(*verts[2]),
+        *polygon_place_vertex(*verts[3]),
+        *polygon_place_vertex(*verts[0]),
+    ]
+
+    # Create selector
+    tool = widgets.PolygonSelector(ax, draw_bounding_box=True)
+    for (etype, event_args) in event_sequence:
+        do_event(tool, etype, **event_args)
+
+    # In order to trigger the correct callbacks, trigger events on the canvas
+    # instead of the individual tools
+    t = ax.transData
+    canvas = ax.get_figure(root=True).canvas
+
+    # Scale to half size using the top right corner of the bounding box
+    MouseEvent(
+        "button_press_event", canvas, *t.transform((40, 40)), 1)._process()
+    MouseEvent(
+        "motion_notify_event", canvas, *t.transform((20, 20)))._process()
+    MouseEvent(
+        "button_release_event", canvas, *t.transform((20, 20)), 1)._process()
+    np.testing.assert_allclose(
+        tool.verts, [(10, 0), (0, 10), (10, 20), (20, 10)])
+
+    # Move using the center of the bounding box
+    MouseEvent(
+        "button_press_event", canvas, *t.transform((10, 10)), 1)._process()
+    MouseEvent(
+        "motion_notify_event", canvas, *t.transform((30, 30)))._process()
+    MouseEvent(
+        "button_release_event", canvas, *t.transform((30, 30)), 1)._process()
+    np.testing.assert_allclose(
+        tool.verts, [(30, 20), (20, 30), (30, 40), (40, 30)])
+
+    # Remove a point from the polygon and check that the box extents update
+    np.testing.assert_allclose(
+        tool._box.extents, (20.0, 40.0, 20.0, 40.0))
+
+    MouseEvent(
+        "button_press_event", canvas, *t.transform((30, 20)), 3)._process()
+    MouseEvent(
+        "button_release_event", canvas, *t.transform((30, 20)), 3)._process()
+    np.testing.assert_allclose(
+        tool.verts, [(20, 30), (30, 40), (40, 30)])
+    np.testing.assert_allclose(
+        tool._box.extents, (20.0, 40.0, 30.0, 40.0))
+
+
+def test_polygon_selector_clear_method(ax):
+    onselect = mock.Mock(spec=noop, return_value=None)
+    tool = widgets.PolygonSelector(ax, onselect)
+
+    for result in ([(50, 50), (150, 50), (50, 150), (50, 50)],
+                   [(50, 50), (100, 50), (50, 150), (50, 50)]):
+        for x, y in result:
+            for etype, event_args in polygon_place_vertex(x, y):
+                do_event(tool, etype, **event_args)
+
+        artist = tool._selection_artist
+
+        assert tool._selection_completed
+        assert tool.get_visible()
+        assert artist.get_visible()
+        np.testing.assert_equal(artist.get_xydata(), result)
+        assert onselect.call_args == ((result[:-1],), {})
+
+        tool.clear()
+        assert not tool._selection_completed
+        np.testing.assert_equal(artist.get_xydata(), [(0, 0)])
+
+
+@pytest.mark.parametrize("horizOn", [False, True])
+@pytest.mark.parametrize("vertOn", [False, True])
+def test_MultiCursor(horizOn, vertOn):
+    fig = plt.figure()
+    (ax1, ax3) = fig.subplots(2, sharex=True)
+    ax2 = plt.figure().subplots()
+
+    # useblit=false to avoid having to draw the figure to cache the renderer
+    multi = widgets.MultiCursor(
+        None, (ax1, ax2), useblit=False, horizOn=horizOn, vertOn=vertOn
+    )
 
-    event = get_event(ax, xdata=125, ydata=125, button=1)
-    tool.onmove(event)
+    # Only two of the axes should have a line drawn on them.
+    assert len(multi.vlines) == 2
+    assert len(multi.hlines) == 2
 
-    event = get_event(ax, xdata=150, ydata=150, button=1)
-    tool.release(event)
+    # mock a motion_notify_event
+    # Can't use `do_event` as that helper requires the widget
+    # to have a single .ax attribute.
+    event = mock_event(ax1, xdata=.5, ydata=.25)
+    multi.onmove(event)
+    # force a draw + draw event to exercise clear
+    fig.canvas.draw()
 
-    assert ax._got_onselect
+    # the lines in the first two ax should both move
+    for l in multi.vlines:
+        assert l.get_xdata() == (.5, .5)
+    for l in multi.hlines:
+        assert l.get_ydata() == (.25, .25)
+    # The relevant lines get turned on after move.
+    assert len([line for line in multi.vlines if line.get_visible()]) == (
+        2 if vertOn else 0)
+    assert len([line for line in multi.hlines if line.get_visible()]) == (
+        2 if horizOn else 0)
 
+    # After toggling settings, the opposite lines should be visible after move.
+    multi.horizOn = not multi.horizOn
+    multi.vertOn = not multi.vertOn
+    event = mock_event(ax1, xdata=.5, ydata=.25)
+    multi.onmove(event)
+    assert len([line for line in multi.vlines if line.get_visible()]) == (
+        0 if vertOn else 2)
+    assert len([line for line in multi.hlines if line.get_visible()]) == (
+        0 if horizOn else 2)
 
-def test_lasso_selector():
-    check_lasso_selector()
-    check_lasso_selector(useblit=False, lineprops=dict(color='red'))
-    check_lasso_selector(useblit=True, button=1)
+    # test a move event in an Axes not part of the MultiCursor
+    # the lines in ax1 and ax2 should not have moved.
+    event = mock_event(ax3, xdata=.75, ydata=.75)
+    multi.onmove(event)
+    for l in multi.vlines:
+        assert l.get_xdata() == (.5, .5)
+    for l in multi.hlines:
+        assert l.get_ydata() == (.25, .25)
diff --git a/lib/matplotlib/texmanager.py b/lib/matplotlib/texmanager.py
index 5d52e7d8362a..020a26e31cbe 100644
--- a/lib/matplotlib/texmanager.py
+++ b/lib/matplotlib/texmanager.py
@@ -1,677 +1,371 @@
-"""
-This module supports embedded TeX expressions in matplotlib via dvipng
-and dvips for the raster and postscript backends.  The tex and
-dvipng/dvips information is cached in ~/.matplotlib/tex.cache for reuse between
-sessions
+r"""
+Support for embedded TeX expressions in Matplotlib.
 
 Requirements:
 
-* latex
-* \*Agg backends: dvipng
-* PS backend: latex w/ psfrag, dvips, and Ghostscript 8.51
-  (older versions do not work properly)
+* LaTeX.
+* \*Agg backends: dvipng>=1.6.
+* PS backend: PSfrag, dvips, and Ghostscript>=9.0.
+* PDF and SVG backends: if LuaTeX is present, it will be used to speed up some
+  post-processing steps, but note that it is not used to parse the TeX string
+  itself (only LaTeX is supported).
 
-Backends:
+To enable TeX rendering of all text in your Matplotlib figure, set
+:rc:`text.usetex` to True.
 
-* \*Agg
-* PS
-* PDF
+TeX and dvipng/dvips processing results are cached
+in ~/.matplotlib/tex.cache for reuse between sessions.
 
-For raster output, you can get RGBA numpy arrays from TeX expressions
-as follows::
+`TexManager.get_rgba` can also be used to directly obtain raster output as RGBA
+NumPy arrays.
+"""
 
-  texmanager = TexManager()
-  s = ('\\TeX\\ is Number '
-       '$\\displaystyle\\sum_{n=1}^\\infty\\frac{-e^{i\pi}}{2^n}$!')
-  Z = self.texmanager.get_rgba(s, size=12, dpi=80, rgb=(1,0,0))
+import functools
+import hashlib
+import logging
+import os
+from pathlib import Path
+import subprocess
+from tempfile import TemporaryDirectory
 
-To enable tex rendering of all text in your matplotlib figure, set
-text.usetex in your matplotlibrc file (http://matplotlib.sf.net/matplotlibrc)
-or include these two lines in your script::
+import numpy as np
 
-  from matplotlib import rc
-  rc('text', usetex=True)
+import matplotlib as mpl
+from matplotlib import cbook, dviread
 
-"""
+_log = logging.getLogger(__name__)
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+def _usepackage_if_not_loaded(package, *, option=None):
+    """
+    Output LaTeX code that loads a package (possibly with an option) if it
+    hasn't been loaded yet.
 
-import copy
-import glob
-import os
-import shutil
-import sys
-import warnings
+    LaTeX cannot load twice a package with different options, so this helper
+    can be used to protect against users loading arbitrary packages/options in
+    their custom preamble.
+    """
+    option = f"[{option}]" if option is not None else ""
+    return (
+        r"\makeatletter"
+        r"\@ifpackageloaded{%(package)s}{}{\usepackage%(option)s{%(package)s}}"
+        r"\makeatother"
+    ) % {"package": package, "option": option}
 
-from hashlib import md5
 
-import distutils.version
-import numpy as np
-import matplotlib as mpl
-from matplotlib import rcParams
-from matplotlib._png import read_png
-from matplotlib.cbook import mkdirs
-from matplotlib.compat.subprocess import Popen, PIPE, STDOUT
-import matplotlib.dviread as dviread
-import re
-
-DEBUG = False
-
-if sys.platform.startswith('win'):
-    cmd_split = '&'
-else:
-    cmd_split = ';'
-
-
-def dvipng_hack_alpha():
-    try:
-        p = Popen(['dvipng', '-version'], stdin=PIPE, stdout=PIPE,
-                  stderr=STDOUT, close_fds=(sys.platform != 'win32'))
-        stdout, stderr = p.communicate()
-    except OSError:
-        mpl.verbose.report('No dvipng was found', 'helpful')
-        return False
-    lines = stdout.decode('ascii').split('\n')
-    for line in lines:
-        if line.startswith('dvipng '):
-            version = line.split()[-1]
-            mpl.verbose.report('Found dvipng version %s' % version,
-                               'helpful')
-            version = distutils.version.LooseVersion(version)
-            return version < distutils.version.LooseVersion('1.6')
-    mpl.verbose.report('Unexpected response from dvipng -version', 'helpful')
-    return False
-
-
-class TexManager(object):
+class TexManager:
     """
-    Convert strings to dvi files using TeX, caching the results to a
-    working dir
+    Convert strings to dvi files using TeX, caching the results to a directory.
+
+    The cache directory is called ``tex.cache`` and is located in the directory
+    returned by `.get_cachedir`.
+
+    Repeated calls to this constructor always return the same instance.
     """
 
-    oldpath = mpl.get_home()
-    if oldpath is None:
-        oldpath = mpl.get_data_path()
-    oldcache = os.path.join(oldpath, '.tex.cache')
-
-    cachedir = mpl.get_cachedir()
-    if cachedir is not None:
-        texcache = os.path.join(cachedir, 'tex.cache')
-    else:
-        # Should only happen in a restricted environment (such as Google App
-        # Engine). Deal with this gracefully by not creating a cache directory.
-        texcache = None
-
-    if os.path.exists(oldcache):
-        if texcache is not None:
-            try:
-                shutil.move(oldcache, texcache)
-            except IOError as e:
-                warnings.warn('File could not be renamed: %s' % e)
-            else:
-                warnings.warn("""\
-Found a TeX cache dir in the deprecated location "%s".
-    Moving it to the new default location "%s".""" % (oldcache, texcache))
-        else:
-            warnings.warn("""\
-Could not rename old TeX cache dir "%s": a suitable configuration
-    directory could not be found.""" % oldcache)
-
-    if texcache is not None:
-        mkdirs(texcache)
-
-    _dvipng_hack_alpha = None
-    #_dvipng_hack_alpha = dvipng_hack_alpha()
-    # mappable cache of
-    rgba_arrayd = {}
-    grey_arrayd = {}
-    postscriptd = {}
-    pscnt = 0
-
-    serif = ('cmr', '')
-    sans_serif = ('cmss', '')
-    monospace = ('cmtt', '')
-    cursive = ('pzc', '\\usepackage{chancery}')
-    font_family = 'serif'
-    font_families = ('serif', 'sans-serif', 'cursive', 'monospace')
-
-    font_info = {'new century schoolbook': ('pnc',
-                                            r'\renewcommand{\rmdefault}{pnc}'),
-                 'bookman': ('pbk', r'\renewcommand{\rmdefault}{pbk}'),
-                 'times': ('ptm', '\\usepackage{mathptmx}'),
-                 'palatino': ('ppl', '\\usepackage{mathpazo}'),
-                 'zapf chancery': ('pzc', '\\usepackage{chancery}'),
-                 'cursive': ('pzc', '\\usepackage{chancery}'),
-                 'charter': ('pch', '\\usepackage{charter}'),
-                 'serif': ('cmr', ''),
-                 'sans-serif': ('cmss', ''),
-                 'helvetica': ('phv', '\\usepackage{helvet}'),
-                 'avant garde': ('pag', '\\usepackage{avant}'),
-                 'courier': ('pcr', '\\usepackage{courier}'),
-                 'monospace': ('cmtt', ''),
-                 'computer modern roman': ('cmr', ''),
-                 'computer modern sans serif': ('cmss', ''),
-                 'computer modern typewriter': ('cmtt', '')}
-
-    _rc_cache = None
-    _rc_cache_keys = (('text.latex.preamble', ) +
-                      tuple(['font.' + n for n in ('family', ) +
-                             font_families]))
-
-    def __init__(self):
-
-        if self.texcache is None:
-            raise RuntimeError(
-                ('Cannot create TexManager, as there is no cache directory '
-                 'available'))
-
-        mkdirs(self.texcache)
-        ff = rcParams['font.family']
-        if len(ff) == 1 and ff[0].lower() in self.font_families:
-            self.font_family = ff[0].lower()
-        elif isinstance(ff, six.string_types) and ff.lower() in self.font_families:
-            self.font_family = ff.lower()
+    _texcache = os.path.join(mpl.get_cachedir(), 'tex.cache')
+    _grey_arrayd = {}
+
+    _font_families = ('serif', 'sans-serif', 'cursive', 'monospace')
+    # Check for the cm-super package (which registers unicode computer modern
+    # support just by being installed) without actually loading any package
+    # (because we already load the incompatible fix-cm).
+    _check_cmsuper_installed = (
+        r'\IfFileExists{type1ec.sty}{}{\PackageError{matplotlib-support}{'
+        r'Missing cm-super package, required by Matplotlib}{}}'
+    )
+    _font_preambles = {
+        'new century schoolbook': r'\renewcommand{\rmdefault}{pnc}',
+        'bookman': r'\renewcommand{\rmdefault}{pbk}',
+        'times': r'\usepackage{mathptmx}',
+        'palatino': r'\usepackage{mathpazo}',
+        'zapf chancery': r'\usepackage{chancery}',
+        'cursive': r'\usepackage{chancery}',
+        'charter': r'\usepackage{charter}',
+        'serif': '',
+        'sans-serif': '',
+        'helvetica': r'\usepackage{helvet}',
+        'avant garde': r'\usepackage{avant}',
+        'courier': r'\usepackage{courier}',
+        'monospace': _check_cmsuper_installed,
+        'computer modern roman': _check_cmsuper_installed,
+        'computer modern sans serif': _check_cmsuper_installed,
+        'computer modern typewriter': _check_cmsuper_installed,
+    }
+    _font_types = {
+        'new century schoolbook': 'serif',
+        'bookman': 'serif',
+        'times': 'serif',
+        'palatino': 'serif',
+        'zapf chancery': 'cursive',
+        'charter': 'serif',
+        'helvetica': 'sans-serif',
+        'avant garde': 'sans-serif',
+        'courier': 'monospace',
+        'computer modern roman': 'serif',
+        'computer modern sans serif': 'sans-serif',
+        'computer modern typewriter': 'monospace',
+    }
+
+    @functools.lru_cache  # Always return the same instance.
+    def __new__(cls):
+        Path(cls._texcache).mkdir(parents=True, exist_ok=True)
+        return object.__new__(cls)
+
+    @classmethod
+    def _get_font_family_and_reduced(cls):
+        """Return the font family name and whether the font is reduced."""
+        ff = mpl.rcParams['font.family']
+        ff_val = ff[0].lower() if len(ff) == 1 else None
+        if len(ff) == 1 and ff_val in cls._font_families:
+            return ff_val, False
+        elif len(ff) == 1 and ff_val in cls._font_preambles:
+            return cls._font_types[ff_val], True
         else:
-            mpl.verbose.report(
-                'font.family must be one of (%s) when text.usetex is True. '
-                'serif will be used by default.' %
-                   ', '.join(self.font_families),
-                'helpful')
-            self.font_family = 'serif'
-
-        fontconfig = [self.font_family]
-        for font_family, font_family_attr in [(ff, ff.replace('-', '_'))
-                                              for ff in self.font_families]:
-            for font in rcParams['font.' + font_family]:
-                if font.lower() in self.font_info:
-                    setattr(self, font_family_attr,
-                            self.font_info[font.lower()])
-                    if DEBUG:
-                        print('family: %s, font: %s, info: %s' %
-                              (font_family, font,
-                               self.font_info[font.lower()]))
-                    break
-                else:
-                    if DEBUG:
-                        print('$s font is not compatible with usetex')
+            _log.info('font.family must be one of (%s) when text.usetex is '
+                      'True. serif will be used by default.',
+                      ', '.join(cls._font_families))
+            return 'serif', False
+
+    @classmethod
+    def _get_font_preamble_and_command(cls):
+        requested_family, is_reduced_font = cls._get_font_family_and_reduced()
+
+        preambles = {}
+        for font_family in cls._font_families:
+            if is_reduced_font and font_family == requested_family:
+                preambles[font_family] = cls._font_preambles[
+                    mpl.rcParams['font.family'][0].lower()]
             else:
-                mpl.verbose.report('No LaTeX-compatible font found for the '
-                                   '%s font family in rcParams. Using '
-                                   'default.' % ff, 'helpful')
-                setattr(self, font_family_attr, self.font_info[font_family])
-            fontconfig.append(getattr(self, font_family_attr)[0])
-        self._fontconfig = ''.join(fontconfig)
+                rcfonts = mpl.rcParams[f"font.{font_family}"]
+                for i, font in enumerate(map(str.lower, rcfonts)):
+                    if font in cls._font_preambles:
+                        preambles[font_family] = cls._font_preambles[font]
+                        _log.debug(
+                            'family: %s, package: %s, font: %s, skipped: %s',
+                            font_family, cls._font_preambles[font], rcfonts[i],
+                            ', '.join(rcfonts[:i]),
+                        )
+                        break
+                else:
+                    _log.info('No LaTeX-compatible font found for the %s font'
+                              'family in rcParams. Using default.',
+                              font_family)
+                    preambles[font_family] = cls._font_preambles[font_family]
 
         # The following packages and commands need to be included in the latex
         # file's preamble:
-        cmd = [self.serif[1], self.sans_serif[1], self.monospace[1]]
-        if self.font_family == 'cursive':
-            cmd.append(self.cursive[1])
-        while '\\usepackage{type1cm}' in cmd:
-            cmd.remove('\\usepackage{type1cm}')
-        cmd = '\n'.join(cmd)
-        self._font_preamble = '\n'.join(['\\usepackage{type1cm}', cmd,
-                                         '\\usepackage{textcomp}'])
-
-    def get_basefile(self, tex, fontsize, dpi=None):
-        """
-        returns a filename based on a hash of the string, fontsize, and dpi
-        """
-        s = ''.join([tex, self.get_font_config(), '%f' % fontsize,
-                     self.get_custom_preamble(), str(dpi or '')])
-        # make sure hash is consistent for all strings, regardless of encoding:
-        bytes = six.text_type(s).encode('utf-8')
-        return os.path.join(self.texcache, md5(bytes).hexdigest())
-
-    def get_font_config(self):
-        """Reinitializes self if relevant rcParams on have changed."""
-        if self._rc_cache is None:
-            self._rc_cache = dict([(k, None) for k in self._rc_cache_keys])
-        changed = [par for par in self._rc_cache_keys
-                   if rcParams[par] != self._rc_cache[par]]
-        if changed:
-            if DEBUG:
-                print('DEBUG following keys changed:', changed)
-            for k in changed:
-                if DEBUG:
-                    print('DEBUG %-20s: %-10s -> %-10s' %
-                          (k, self._rc_cache[k], rcParams[k]))
-                # deepcopy may not be necessary, but feels more future-proof
-                self._rc_cache[k] = copy.deepcopy(rcParams[k])
-            if DEBUG:
-                print('DEBUG RE-INIT\nold fontconfig:', self._fontconfig)
-            self.__init__()
-        if DEBUG:
-            print('DEBUG fontconfig:', self._fontconfig)
-        return self._fontconfig
-
-    def get_font_preamble(self):
-        """
-        returns a string containing font configuration for the tex preamble
+        cmd = {preambles[family]
+               for family in ['serif', 'sans-serif', 'monospace']}
+        if requested_family == 'cursive':
+            cmd.add(preambles['cursive'])
+        cmd.add(r'\usepackage{type1cm}')
+        preamble = '\n'.join(sorted(cmd))
+        fontcmd = (r'\sffamily' if requested_family == 'sans-serif' else
+                   r'\ttfamily' if requested_family == 'monospace' else
+                   r'\rmfamily')
+        return preamble, fontcmd
+
+    @classmethod
+    def get_basefile(cls, tex, fontsize, dpi=None):
         """
-        return self._font_preamble
-
-    def get_custom_preamble(self):
-        """returns a string containing user additions to the tex preamble"""
-        return '\n'.join(rcParams['text.latex.preamble'])
-
-    def _get_shell_cmd(self, *args):
+        Return a filename based on a hash of the string, fontsize, and dpi.
         """
-        On windows, changing directories can be complicated by the presence of
-        multiple drives. get_shell_cmd deals with this issue.
+        src = cls._get_tex_source(tex, fontsize) + str(dpi)
+        filehash = hashlib.sha256(
+            src.encode('utf-8'),
+            usedforsecurity=False
+        ).hexdigest()
+        filepath = Path(cls._texcache)
+
+        num_letters, num_levels = 2, 2
+        for i in range(0, num_letters*num_levels, num_letters):
+            filepath = filepath / Path(filehash[i:i+2])
+
+        filepath.mkdir(parents=True, exist_ok=True)
+        return os.path.join(filepath, filehash)
+
+    @classmethod
+    def get_font_preamble(cls):
         """
-        if sys.platform == 'win32':
-            command = ['%s' % os.path.splitdrive(self.texcache)[0]]
-        else:
-            command = []
-        command.extend(args)
-        return ' && '.join(command)
-
-    def make_tex(self, tex, fontsize):
+        Return a string containing font configuration for the tex preamble.
         """
-        Generate a tex file to render the tex string at a specific font size
-
-        returns the file name
+        font_preamble, command = cls._get_font_preamble_and_command()
+        return font_preamble
+
+    @classmethod
+    def get_custom_preamble(cls):
+        """Return a string containing user additions to the tex preamble."""
+        return mpl.rcParams['text.latex.preamble']
+
+    @classmethod
+    def _get_tex_source(cls, tex, fontsize):
+        """Return the complete TeX source for processing a TeX string."""
+        font_preamble, fontcmd = cls._get_font_preamble_and_command()
+        baselineskip = 1.25 * fontsize
+        return "\n".join([
+            r"\RequirePackage{fix-cm}",
+            r"\documentclass{article}",
+            r"% Pass-through \mathdefault, which is used in non-usetex mode",
+            r"% to use the default text font but was historically suppressed",
+            r"% in usetex mode.",
+            r"\newcommand{\mathdefault}[1]{#1}",
+            font_preamble,
+            r"\usepackage[utf8]{inputenc}",
+            r"\DeclareUnicodeCharacter{2212}{\ensuremath{-}}",
+            r"% geometry is loaded before the custom preamble as ",
+            r"% convert_psfrags relies on a custom preamble to change the ",
+            r"% geometry.",
+            r"\usepackage[papersize=72in, margin=1in]{geometry}",
+            cls.get_custom_preamble(),
+            r"% Use `underscore` package to take care of underscores in text.",
+            r"% The [strings] option allows to use underscores in file names.",
+            _usepackage_if_not_loaded("underscore", option="strings"),
+            r"% Custom packages (e.g. newtxtext) may already have loaded ",
+            r"% textcomp with different options.",
+            _usepackage_if_not_loaded("textcomp"),
+            r"\pagestyle{empty}",
+            r"\begin{document}",
+            r"% The empty hbox ensures that a page is printed even for empty",
+            r"% inputs, except when using psfrag which gets confused by it.",
+            r"% matplotlibbaselinemarker is used by dviread to detect the",
+            r"% last line's baseline.",
+            rf"\fontsize{{{fontsize}}}{{{baselineskip}}}%",
+            r"\ifdefined\psfrag\else\hbox{}\fi%",
+            rf"{{{fontcmd} {tex}}}%",
+            r"\end{document}",
+        ])
+
+    @classmethod
+    def make_tex(cls, tex, fontsize):
         """
-        basefile = self.get_basefile(tex, fontsize)
-        texfile = '%s.tex' % basefile
-        custom_preamble = self.get_custom_preamble()
-        fontcmd = {'sans-serif': r'{\sffamily %s}',
-                   'monospace': r'{\ttfamily %s}'}.get(self.font_family,
-                                                       r'{\rmfamily %s}')
-        tex = fontcmd % tex
-
-        if rcParams['text.latex.unicode']:
-            unicode_preamble = """\\usepackage{ucs}
-\\usepackage[utf8x]{inputenc}"""
-        else:
-            unicode_preamble = ''
-
-        s = """\\documentclass{article}
-%s
-%s
-%s
-\\usepackage[papersize={72in,72in},body={70in,70in},margin={1in,1in}]{geometry}
-\\pagestyle{empty}
-\\begin{document}
-\\fontsize{%f}{%f}%s
-\\end{document}
-""" % (self._font_preamble, unicode_preamble, custom_preamble,
-       fontsize, fontsize * 1.25, tex)
-        with open(texfile, 'wb') as fh:
-            if rcParams['text.latex.unicode']:
-                fh.write(s.encode('utf8'))
-            else:
-                try:
-                    fh.write(s.encode('ascii'))
-                except UnicodeEncodeError as err:
-                    mpl.verbose.report("You are using unicode and latex, but "
-                                       "have not enabled the matplotlib "
-                                       "'text.latex.unicode' rcParam.",
-                                       'helpful')
-                    raise
-
-        return texfile
+        Generate a tex file to render the tex string at a specific font size.
 
-    _re_vbox = re.compile(
-        r"MatplotlibBox:\(([\d.]+)pt\+([\d.]+)pt\)x([\d.]+)pt")
-
-    def make_tex_preview(self, tex, fontsize):
+        Return the file name.
         """
-        Generate a tex file to render the tex string at a specific
-        font size.  It uses the preview.sty to determin the dimension
-        (width, height, descent) of the output.
-
-        returns the file name
-        """
-        basefile = self.get_basefile(tex, fontsize)
-        texfile = '%s.tex' % basefile
-        custom_preamble = self.get_custom_preamble()
-        fontcmd = {'sans-serif': r'{\sffamily %s}',
-                   'monospace': r'{\ttfamily %s}'}.get(self.font_family,
-                                                       r'{\rmfamily %s}')
-        tex = fontcmd % tex
-
-        if rcParams['text.latex.unicode']:
-            unicode_preamble = """\\usepackage{ucs}
-\\usepackage[utf8x]{inputenc}"""
-        else:
-            unicode_preamble = ''
-
-        # newbox, setbox, immediate, etc. are used to find the box
-        # extent of the rendered text.
-
-        s = """\\documentclass{article}
-%s
-%s
-%s
-\\usepackage[active,showbox,tightpage]{preview}
-\\usepackage[papersize={72in,72in},body={70in,70in},margin={1in,1in}]{geometry}
-
-%% we override the default showbox as it is treated as an error and makes
-%% the exit status not zero
-\\def\\showbox#1{\\immediate\\write16{MatplotlibBox:(\\the\\ht#1+\\the\\dp#1)x\\the\\wd#1}}
-
-\\begin{document}
-\\begin{preview}
-{\\fontsize{%f}{%f}%s}
-\\end{preview}
-\\end{document}
-""" % (self._font_preamble, unicode_preamble, custom_preamble,
-       fontsize, fontsize * 1.25, tex)
-        with open(texfile, 'wb') as fh:
-            if rcParams['text.latex.unicode']:
-                fh.write(s.encode('utf8'))
-            else:
-                try:
-                    fh.write(s.encode('ascii'))
-                except UnicodeEncodeError as err:
-                    mpl.verbose.report("You are using unicode and latex, but "
-                                       "have not enabled the matplotlib "
-                                       "'text.latex.unicode' rcParam.",
-                                       'helpful')
-                    raise
-
+        texfile = cls.get_basefile(tex, fontsize) + ".tex"
+        Path(texfile).write_text(cls._get_tex_source(tex, fontsize),
+                                 encoding='utf-8')
         return texfile
 
-    def make_dvi(self, tex, fontsize):
-        """
-        generates a dvi file containing latex's layout of tex string
-
-        returns the file name
-        """
-
-        if rcParams['text.latex.preview']:
-            return self.make_dvi_preview(tex, fontsize)
-
-        basefile = self.get_basefile(tex, fontsize)
-        dvifile = '%s.dvi' % basefile
-
-        if DEBUG or not os.path.exists(dvifile):
-            texfile = self.make_tex(tex, fontsize)
-            outfile = basefile + '.output'
-            command = self._get_shell_cmd(
-                'cd "%s"' % self.texcache,
-                'latex -interaction=nonstopmode %s > "%s"' %
-                (os.path.split(texfile)[-1], outfile))
-            mpl.verbose.report(command, 'debug')
-            exit_status = os.system(command)
-            try:
-                with open(outfile) as fh:
-                    report = fh.read()
-            except IOError:
-                report = 'No latex error report available.'
-            try:
-                os.stat(dvifile)
-                exists = True
-            except OSError:
-                exists = False
-            if exit_status or not exists:
-                raise RuntimeError(
-                    ('LaTeX was not able to process the following '
-                     'string:\n%s\nHere is the full report generated by '
-                     'LaTeX: \n\n' % repr(tex.encode('unicode_escape')) +
-                     report))
-            else:
-                mpl.verbose.report(report, 'debug')
-            for fname in glob.glob(basefile + '*'):
-                if fname.endswith('dvi'):
-                    pass
-                elif fname.endswith('tex'):
-                    pass
-                else:
-                    try:
-                        os.remove(fname)
-                    except OSError:
-                        pass
-
-        return dvifile
-
-    def make_dvi_preview(self, tex, fontsize):
+    @classmethod
+    def _run_checked_subprocess(cls, command, tex, *, cwd=None):
+        _log.debug(cbook._pformat_subprocess(command))
+        try:
+            report = subprocess.check_output(
+                command, cwd=cwd if cwd is not None else cls._texcache,
+                stderr=subprocess.STDOUT)
+        except FileNotFoundError as exc:
+            raise RuntimeError(
+                f'Failed to process string with tex because {command[0]} '
+                'could not be found') from exc
+        except subprocess.CalledProcessError as exc:
+            raise RuntimeError(
+                '{prog} was not able to process the following string:\n'
+                '{tex!r}\n\n'
+                'Here is the full command invocation and its output:\n\n'
+                '{format_command}\n\n'
+                '{exc}\n\n'.format(
+                    prog=command[0],
+                    format_command=cbook._pformat_subprocess(command),
+                    tex=tex.encode('unicode_escape'),
+                    exc=exc.output.decode('utf-8', 'backslashreplace'))
+                ) from None
+        _log.debug(report)
+        return report
+
+    @classmethod
+    def make_dvi(cls, tex, fontsize):
         """
-        generates a dvi file containing latex's layout of tex
-        string. It calls make_tex_preview() method and store the size
-        information (width, height, descent) in a separte file.
+        Generate a dvi file containing latex's layout of tex string.
 
-        returns the file name
+        Return the file name.
         """
-        basefile = self.get_basefile(tex, fontsize)
+        basefile = cls.get_basefile(tex, fontsize)
         dvifile = '%s.dvi' % basefile
-        baselinefile = '%s.baseline' % basefile
-
-        if (DEBUG or not os.path.exists(dvifile) or
-                not os.path.exists(baselinefile)):
-            texfile = self.make_tex_preview(tex, fontsize)
-            outfile = basefile + '.output'
-            command = self._get_shell_cmd(
-                'cd "%s"' % self.texcache,
-                'latex -interaction=nonstopmode %s > "%s"' %
-                (os.path.split(texfile)[-1], outfile))
-            mpl.verbose.report(command, 'debug')
-            exit_status = os.system(command)
-            try:
-                with open(outfile) as fh:
-                    report = fh.read()
-
-            except IOError:
-                report = 'No latex error report available.'
-            if exit_status:
-                raise RuntimeError(
-                    ('LaTeX was not able to process the following '
-                     'string:\n%s\nHere is the full report generated by '
-                     'LaTeX: \n\n' % repr(tex)) + report)
-            else:
-                mpl.verbose.report(report, 'debug')
-
-            # find the box extent information in the latex output
-            # file and store them in ".baseline" file
-            m = TexManager._re_vbox.search(report)
-            with open(basefile + '.baseline', "w") as fh:
-                fh.write(" ".join(m.groups()))
-
-            for fname in glob.glob(basefile + '*'):
-                if fname.endswith('dvi'):
-                    pass
-                elif fname.endswith('tex'):
-                    pass
-                elif fname.endswith('baseline'):
-                    pass
-                else:
-                    try:
-                        os.remove(fname)
-                    except OSError:
-                        pass
-
+        if not os.path.exists(dvifile):
+            texfile = Path(cls.make_tex(tex, fontsize))
+            # Generate the dvi in a temporary directory to avoid race
+            # conditions e.g. if multiple processes try to process the same tex
+            # string at the same time.  Having tmpdir be a subdirectory of the
+            # final output dir ensures that they are on the same filesystem,
+            # and thus replace() works atomically.  It also allows referring to
+            # the texfile with a relative path (for pathological MPLCONFIGDIRs,
+            # the absolute path may contain characters (e.g. ~) that TeX does
+            # not support; n.b. relative paths cannot traverse parents, or it
+            # will be blocked when `openin_any = p` in texmf.cnf).
+            cwd = Path(dvifile).parent
+            with TemporaryDirectory(dir=cwd) as tmpdir:
+                tmppath = Path(tmpdir)
+                cls._run_checked_subprocess(
+                    ["latex", "-interaction=nonstopmode", "--halt-on-error",
+                     f"--output-directory={tmppath.name}",
+                     f"{texfile.name}"], tex, cwd=cwd)
+                (tmppath / Path(dvifile).name).replace(dvifile)
         return dvifile
 
-    def make_png(self, tex, fontsize, dpi):
+    @classmethod
+    def make_png(cls, tex, fontsize, dpi):
         """
-        generates a png file containing latex's rendering of tex string
+        Generate a png file containing latex's rendering of tex string.
 
-        returns the filename
+        Return the file name.
         """
-        basefile = self.get_basefile(tex, fontsize, dpi)
+        basefile = cls.get_basefile(tex, fontsize, dpi)
         pngfile = '%s.png' % basefile
-
         # see get_rgba for a discussion of the background
-        if DEBUG or not os.path.exists(pngfile):
-            dvifile = self.make_dvi(tex, fontsize)
-            outfile = basefile + '.output'
-            command = self._get_shell_cmd(
-                'cd "%s"' % self.texcache,
-                'dvipng -bg Transparent -D %s -T tight -o "%s" "%s" > "%s"' %
-                (dpi, os.path.split(pngfile)[-1],
-                os.path.split(dvifile)[-1], outfile))
-            mpl.verbose.report(command, 'debug')
-            exit_status = os.system(command)
-            try:
-                with open(outfile) as fh:
-                    report = fh.read()
-            except IOError:
-                report = 'No dvipng error report available.'
-            if exit_status:
-                raise RuntimeError(
-                    'dvipng was not able to process the following '
-                    'file:\n%s\nHere is the full report generated by '
-                    'dvipng: \n\n' % dvifile + report)
-            else:
-                mpl.verbose.report(report, 'debug')
-            try:
-                os.remove(outfile)
-            except OSError:
-                pass
-
+        if not os.path.exists(pngfile):
+            dvifile = cls.make_dvi(tex, fontsize)
+            cmd = ["dvipng", "-bg", "Transparent", "-D", str(dpi),
+                   "-T", "tight", "-o", pngfile, dvifile]
+            # When testing, disable FreeType rendering for reproducibility; but
+            # dvipng 1.16 has a bug (fixed in f3ff241) that breaks --freetype0
+            # mode, so for it we keep FreeType enabled; the image will be
+            # slightly off.
+            if (getattr(mpl, "_called_from_pytest", False) and
+                    mpl._get_executable_info("dvipng").raw_version != "1.16"):
+                cmd.insert(1, "--freetype0")
+            cls._run_checked_subprocess(cmd, tex)
         return pngfile
 
-    def make_ps(self, tex, fontsize):
-        """
-        generates a postscript file containing latex's rendering of tex string
-
-        returns the file name
-        """
-        basefile = self.get_basefile(tex, fontsize)
-        psfile = '%s.epsf' % basefile
-
-        if DEBUG or not os.path.exists(psfile):
-            dvifile = self.make_dvi(tex, fontsize)
-            outfile = basefile + '.output'
-            command = self._get_shell_cmd(
-                'cd "%s"' % self.texcache,
-                'dvips -q -E -o "%s" "%s" > "%s"' %
-                (os.path.split(psfile)[-1],
-                 os.path.split(dvifile)[-1], outfile))
-            mpl.verbose.report(command, 'debug')
-            exit_status = os.system(command)
-            with open(outfile) as fh:
-                if exit_status:
-                    raise RuntimeError(
-                        'dvipng was not able to process the flowing '
-                        'file:\n%s\nHere is the full report generated by '
-                        'dvipng: \n\n' % dvifile + fh.read())
-                else:
-                    mpl.verbose.report(fh.read(), 'debug')
-            os.remove(outfile)
-
-        return psfile
-
-    def get_ps_bbox(self, tex, fontsize):
-        """
-        returns a list containing the postscript bounding box for latex's
-        rendering of the tex string
-        """
-        psfile = self.make_ps(tex, fontsize)
-        with open(psfile) as ps:
-            for line in ps:
-                if line.startswith('%%BoundingBox:'):
-                    return [int(val) for val in line.split()[1:]]
-        raise RuntimeError('Could not parse %s' % psfile)
-
-    def get_grey(self, tex, fontsize=None, dpi=None):
-        """returns the alpha channel"""
-        key = tex, self.get_font_config(), fontsize, dpi
-        alpha = self.grey_arrayd.get(key)
-
+    @classmethod
+    def get_grey(cls, tex, fontsize=None, dpi=None):
+        """Return the alpha channel."""
+        fontsize = mpl._val_or_rc(fontsize, 'font.size')
+        dpi = mpl._val_or_rc(dpi, 'savefig.dpi')
+        key = cls._get_tex_source(tex, fontsize), dpi
+        alpha = cls._grey_arrayd.get(key)
         if alpha is None:
-            pngfile = self.make_png(tex, fontsize, dpi)
-            X = read_png(os.path.join(self.texcache, pngfile))
-
-            if rcParams['text.dvipnghack'] is not None:
-                hack = rcParams['text.dvipnghack']
-            else:
-                if TexManager._dvipng_hack_alpha is None:
-                    TexManager._dvipng_hack_alpha = dvipng_hack_alpha()
-                hack = TexManager._dvipng_hack_alpha
-
-            if hack:
-                # hack the alpha channel
-                # dvipng assumed a constant background, whereas we want to
-                # overlay these rasters with antialiasing over arbitrary
-                # backgrounds that may have other figure elements under them.
-                # When you set dvipng -bg Transparent, it actually makes the
-                # alpha channel 1 and does the background compositing and
-                # antialiasing itself and puts the blended data in the rgb
-                # channels.  So what we do is extract the alpha information
-                # from the red channel, which is a blend of the default dvipng
-                # background (white) and foreground (black).  So the amount of
-                # red (or green or blue for that matter since white and black
-                # blend to a grayscale) is the alpha intensity.  Once we
-                # extract the correct alpha information, we assign it to the
-                # alpha channel properly and let the users pick their rgb.  In
-                # this way, we can overlay tex strings on arbitrary
-                # backgrounds with antialiasing
-                #
-                # red = alpha*red_foreground + (1-alpha)*red_background
-                #
-                # Since the foreground is black (0) and the background is
-                # white (1) this reduces to red = 1-alpha or alpha = 1-red
-                #alpha = npy.sqrt(1-X[:,:,0]) # should this be sqrt here?
-                alpha = 1 - X[:, :, 0]
-            else:
-                alpha = X[:, :, -1]
-
-            self.grey_arrayd[key] = alpha
+            pngfile = cls.make_png(tex, fontsize, dpi)
+            rgba = mpl.image.imread(os.path.join(cls._texcache, pngfile))
+            cls._grey_arrayd[key] = alpha = rgba[:, :, -1]
         return alpha
 
-    def get_rgba(self, tex, fontsize=None, dpi=None, rgb=(0, 0, 0)):
-        """
-        Returns latex's rendering of the tex string as an rgba array
-        """
-        if not fontsize:
-            fontsize = rcParams['font.size']
-        if not dpi:
-            dpi = rcParams['savefig.dpi']
-        r, g, b = rgb
-        key = tex, self.get_font_config(), fontsize, dpi, tuple(rgb)
-        Z = self.rgba_arrayd.get(key)
-
-        if Z is None:
-            alpha = self.get_grey(tex, fontsize, dpi)
-
-            Z = np.zeros((alpha.shape[0], alpha.shape[1], 4), np.float)
+    @classmethod
+    def get_rgba(cls, tex, fontsize=None, dpi=None, rgb=(0, 0, 0)):
+        r"""
+        Return latex's rendering of the tex string as an RGBA array.
 
-            Z[:, :, 0] = r
-            Z[:, :, 1] = g
-            Z[:, :, 2] = b
-            Z[:, :, 3] = alpha
-            self.rgba_arrayd[key] = Z
-
-        return Z
-
-    def get_text_width_height_descent(self, tex, fontsize, renderer=None):
-        """
-        return width, heigth and descent of the text.
+        Examples
+        --------
+        >>> texmanager = TexManager()
+        >>> s = r"\TeX\ is $\displaystyle\sum_n\frac{-e^{i\pi}}{2^n}$!"
+        >>> Z = texmanager.get_rgba(s, fontsize=12, dpi=80, rgb=(1, 0, 0))
         """
+        alpha = cls.get_grey(tex, fontsize, dpi)
+        rgba = np.empty((*alpha.shape, 4))
+        rgba[..., :3] = mpl.colors.to_rgb(rgb)
+        rgba[..., -1] = alpha
+        return rgba
+
+    @classmethod
+    def get_text_width_height_descent(cls, tex, fontsize, renderer=None):
+        """Return width, height and descent of the text."""
         if tex.strip() == '':
             return 0, 0, 0
-
-        if renderer:
-            dpi_fraction = renderer.points_to_pixels(1.)
-        else:
-            dpi_fraction = 1.
-
-        if rcParams['text.latex.preview']:
-            # use preview.sty
-            basefile = self.get_basefile(tex, fontsize)
-            baselinefile = '%s.baseline' % basefile
-
-            if DEBUG or not os.path.exists(baselinefile):
-                dvifile = self.make_dvi_preview(tex, fontsize)
-
-            with open(baselinefile) as fh:
-                l = fh.read().split()
-            height, depth, width = [float(l1) * dpi_fraction for l1 in l]
-            return width, height + depth, depth
-
-        else:
-            # use dviread. It sometimes returns a wrong descent.
-            dvifile = self.make_dvi(tex, fontsize)
-            dvi = dviread.Dvi(dvifile, 72 * dpi_fraction)
-            try:
-                page = next(iter(dvi))
-            finally:
-                dvi.close()
-            # A total height (including the descent) needs to be returned.
-            return page.width, page.height + page.descent, page.descent
+        dvifile = cls.make_dvi(tex, fontsize)
+        dpi_fraction = renderer.points_to_pixels(1.) if renderer else 1
+        with dviread.Dvi(dvifile, 72 * dpi_fraction) as dvi:
+            page, = dvi
+        # A total height (including the descent) needs to be returned.
+        return page.width, page.height + page.descent, page.descent
diff --git a/lib/matplotlib/texmanager.pyi b/lib/matplotlib/texmanager.pyi
new file mode 100644
index 000000000000..94f0d76fa814
--- /dev/null
+++ b/lib/matplotlib/texmanager.pyi
@@ -0,0 +1,38 @@
+from .backend_bases import RendererBase
+
+from matplotlib.typing import ColorType
+
+import numpy as np
+
+class TexManager:
+    texcache: str
+    @classmethod
+    def get_basefile(
+        cls, tex: str, fontsize: float, dpi: float | None = ...
+    ) -> str: ...
+    @classmethod
+    def get_font_preamble(cls) -> str: ...
+    @classmethod
+    def get_custom_preamble(cls) -> str: ...
+    @classmethod
+    def make_tex(cls, tex: str, fontsize: float) -> str: ...
+    @classmethod
+    def make_dvi(cls, tex: str, fontsize: float) -> str: ...
+    @classmethod
+    def make_png(cls, tex: str, fontsize: float, dpi: float) -> str: ...
+    @classmethod
+    def get_grey(
+        cls, tex: str, fontsize: float | None = ..., dpi: float | None = ...
+    ) -> np.ndarray: ...
+    @classmethod
+    def get_rgba(
+        cls,
+        tex: str,
+        fontsize: float | None = ...,
+        dpi: float | None = ...,
+        rgb: ColorType = ...,
+    ) -> np.ndarray: ...
+    @classmethod
+    def get_text_width_height_descent(
+        cls, tex: str, fontsize, renderer: RendererBase | None = ...
+    ) -> tuple[int, int, int]: ...
diff --git a/lib/matplotlib/text.py b/lib/matplotlib/text.py
index cc760a1f2a7f..acde4fb179a2 100644
--- a/lib/matplotlib/text.py
+++ b/lib/matplotlib/text.py
@@ -1,141 +1,53 @@
 """
 Classes for including text in a figure.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
 
+import functools
+import logging
 import math
-import warnings
+from numbers import Real
+import weakref
 
 import numpy as np
 
-from matplotlib import cbook
-from matplotlib import rcParams
-import matplotlib.artist as artist
-from matplotlib.artist import Artist
-from matplotlib.cbook import is_string_like, maxdict
-from matplotlib import docstring
-from matplotlib.font_manager import FontProperties
-from matplotlib.patches import bbox_artist, YAArrow, FancyBboxPatch
-from matplotlib.patches import FancyArrowPatch, Rectangle
-import matplotlib.transforms as mtransforms
-from matplotlib.transforms import Affine2D, Bbox, Transform
-from matplotlib.transforms import BboxBase, BboxTransformTo
-from matplotlib.lines import Line2D
-
-from matplotlib.artist import allow_rasterization
-
-from matplotlib.backend_bases import RendererBase
-from matplotlib.textpath import TextPath
-
-
-def _process_text_args(override, fontdict=None, **kwargs):
-    "Return an override dict.  See :func:`~pyplot.text' docstring for info"
-
-    if fontdict is not None:
-        override.update(fontdict)
-
-    override.update(kwargs)
-    return override
+import matplotlib as mpl
+from . import _api, artist, cbook, _docstring
+from .artist import Artist
+from .font_manager import FontProperties
+from .patches import FancyArrowPatch, FancyBboxPatch, Rectangle
+from .textpath import TextPath, TextToPath  # noqa # Logically located here
+from .transforms import (
+    Affine2D, Bbox, BboxBase, BboxTransformTo, IdentityTransform, Transform)
 
 
-# Extracted from Text's method to serve as a function
-def get_rotation(rotation):
-    """
-    Return the text angle as float. The returned
-    angle is between 0 and 360 deg.
-
-    *rotation* may be 'horizontal', 'vertical', or a numeric value in degrees.
-    """
-    try:
-        angle = float(rotation)
-    except (ValueError, TypeError):
-        isString = isinstance(rotation, six.string_types)
-        if ((isString and rotation == 'horizontal') or rotation is None):
-            angle = 0.
-        elif (isString and rotation == 'vertical'):
-            angle = 90.
-        else:
-            raise ValueError("rotation is {0} expected either 'horizontal'"
-                             " 'vertical', numeric value or"
-                             "None".format(rotation))
-
-    return angle % 360
-# these are not available for the object inspector until after the
-# class is build so we define an initial set here for the init
-# function and they will be overridden after object defn
-docstring.interpd.update(Text="""
-    ========================== ================================================
-    Property                   Value
-    ========================== ================================================
-    alpha                      float or None
-    animated                   [True | False]
-    backgroundcolor            any matplotlib color
-    bbox                       rectangle prop dict plus key 'pad' which is a
-                               pad in points
-    clip_box                   a matplotlib.transform.Bbox instance
-    clip_on                    [True | False]
-    color                      any matplotlib color
-    family                     ['serif' | 'sans-serif' | 'cursive' |
-                                'fantasy' | 'monospace']
-    figure                     a matplotlib.figure.Figure instance
-    fontproperties             a matplotlib.font_manager.FontProperties
-                               instance
-    horizontalalignment or ha  ['center' | 'right' | 'left']
-    label                      any string
-    linespacing                float
-    lod                        [True | False]
-    multialignment             ['left' | 'right' | 'center' ]
-    name or fontname           string e.g.,
-                               ['Sans' | 'Courier' | 'Helvetica' ...]
-    position                   (x,y)
-    rotation                   [ angle in degrees 'vertical' | 'horizontal'
-    rotation_mode              [ None | 'anchor']
-    size or fontsize           [size in points | relative size e.g., 'smaller',
-                                                                  'x-large']
-    style or fontstyle         [ 'normal' | 'italic' | 'oblique']
-    text                       string
-    transform                  a matplotlib.transform transformation instance
-    variant                    ['normal' | 'small-caps']
-    verticalalignment or va    ['center' | 'top' | 'bottom' | 'baseline']
-    visible                    [True | False]
-    weight or fontweight       ['normal' | 'bold' | 'heavy' | 'light' |
-                                'ultrabold' | 'ultralight']
-    x                          float
-    y                          float
-    zorder                     any number
-    ========================== ===============================================
-    """)
-
-# TODO : This function may move into the Text class as a method. As a
-# matter of fact, The information from the _get_textbox function
-# should be available during the Text._get_layout() call, which is
-# called within the _get_textbox. So, it would better to move this
-# function as a method with some refactoring of _get_layout method.
+_log = logging.getLogger(__name__)
 
 
 def _get_textbox(text, renderer):
     """
-    Calculate the bounding box of the text. Unlike
-    :meth:`matplotlib.text.Text.get_extents` method, The bbox size of
-    the text before the rotation is calculated.
+    Calculate the bounding box of the text.
+
+    The bbox position takes text rotation into account, but the width and
+    height are those of the unrotated box (unlike `.Text.get_window_extent`).
     """
+    # TODO : This function may move into the Text class as a method. As a
+    # matter of fact, the information from the _get_textbox function
+    # should be available during the Text._get_layout() call, which is
+    # called within the _get_textbox. So, it would better to move this
+    # function as a method with some refactoring of _get_layout method.
 
     projected_xs = []
     projected_ys = []
 
     theta = np.deg2rad(text.get_rotation())
-    tr = mtransforms.Affine2D().rotate(-theta)
+    tr = Affine2D().rotate(-theta)
 
     _, parts, d = text._get_layout(renderer)
 
     for t, wh, x, y in parts:
         w, h = wh
 
-        xt1, yt1 = tr.transform_point((x, y))
+        xt1, yt1 = tr.transform((x, y))
         yt1 -= d
         xt2, yt2 = xt1 + w, yt1 + h
 
@@ -145,26 +57,52 @@ def _get_textbox(text, renderer):
     xt_box, yt_box = min(projected_xs), min(projected_ys)
     w_box, h_box = max(projected_xs) - xt_box, max(projected_ys) - yt_box
 
-    tr = mtransforms.Affine2D().rotate(theta)
-
-    x_box, y_box = tr.transform_point((xt_box, yt_box))
+    x_box, y_box = Affine2D().rotate(theta).transform((xt_box, yt_box))
 
     return x_box, y_box, w_box, h_box
 
 
+def _get_text_metrics_with_cache(renderer, text, fontprop, ismath, dpi):
+    """Call ``renderer.get_text_width_height_descent``, caching the results."""
+    # Cached based on a copy of fontprop so that later in-place mutations of
+    # the passed-in argument do not mess up the cache.
+    return _get_text_metrics_with_cache_impl(
+        weakref.ref(renderer), text, fontprop.copy(), ismath, dpi)
+
+
+@functools.lru_cache(4096)
+def _get_text_metrics_with_cache_impl(
+        renderer_ref, text, fontprop, ismath, dpi):
+    # dpi is unused, but participates in cache invalidation (via the renderer).
+    return renderer_ref().get_text_width_height_descent(text, fontprop, ismath)
+
+
+@_docstring.interpd
+@_api.define_aliases({
+    "color": ["c"],
+    "fontproperties": ["font", "font_properties"],
+    "fontfamily": ["family"],
+    "fontname": ["name"],
+    "fontsize": ["size"],
+    "fontstretch": ["stretch"],
+    "fontstyle": ["style"],
+    "fontvariant": ["variant"],
+    "fontweight": ["weight"],
+    "horizontalalignment": ["ha"],
+    "verticalalignment": ["va"],
+    "multialignment": ["ma"],
+})
 class Text(Artist):
-    """
-    Handle storing and drawing of text in window or data coordinates.
-    """
-    zorder = 3
+    """Handle storing and drawing of text in window or data coordinates."""
 
-    _cached = maxdict(50)
+    zorder = 3
+    _charsize_cache = dict()
 
-    def __str__(self):
-        return "Text(%g,%g,%s)" % (self._x, self._y, repr(self._text))
+    def __repr__(self):
+        return f"Text({self._x}, {self._y}, {self._text!r})"
 
     def __init__(self,
-                 x=0, y=0, text='',
+                 x=0, y=0, text='', *,
                  color=None,           # defaults to rc params
                  verticalalignment='baseline',
                  horizontalalignment='left',
@@ -173,83 +111,136 @@ def __init__(self,
                  rotation=None,
                  linespacing=None,
                  rotation_mode=None,
+                 usetex=None,          # defaults to rcParams['text.usetex']
+                 wrap=False,
+                 transform_rotates_text=False,
+                 parse_math=None,    # defaults to rcParams['text.parse_math']
+                 antialiased=None,  # defaults to rcParams['text.antialiased']
                  **kwargs
                  ):
         """
-        Create a :class:`~matplotlib.text.Text` instance at *x*, *y*
-        with string *text*.
+        Create a `.Text` instance at *x*, *y* with string *text*.
 
-        Valid kwargs are
-        %(Text)s
-        """
+        The text is aligned relative to the anchor point (*x*, *y*) according
+        to ``horizontalalignment`` (default: 'left') and ``verticalalignment``
+        (default: 'baseline'). See also
+        :doc:`/gallery/text_labels_and_annotations/text_alignment`.
 
-        Artist.__init__(self)
-        self._x, self._y = x, y
+        While Text accepts the 'label' keyword argument, by default it is not
+        added to the handles of a legend.
 
-        if color is None:
-            color = rcParams['text.color']
-        if fontproperties is None:
-            fontproperties = FontProperties()
-        elif is_string_like(fontproperties):
-            fontproperties = FontProperties(fontproperties)
+        Valid keyword arguments are:
 
+        %(Text:kwdoc)s
+        """
+        super().__init__()
+        self._x, self._y = x, y
+        self._text = ''
+        self._reset_visual_defaults(
+            text=text,
+            color=color,
+            fontproperties=fontproperties,
+            usetex=usetex,
+            parse_math=parse_math,
+            wrap=wrap,
+            verticalalignment=verticalalignment,
+            horizontalalignment=horizontalalignment,
+            multialignment=multialignment,
+            rotation=rotation,
+            transform_rotates_text=transform_rotates_text,
+            linespacing=linespacing,
+            rotation_mode=rotation_mode,
+            antialiased=antialiased
+        )
+        self.update(kwargs)
+
+    def _reset_visual_defaults(
+        self,
+        text='',
+        color=None,
+        fontproperties=None,
+        usetex=None,
+        parse_math=None,
+        wrap=False,
+        verticalalignment='baseline',
+        horizontalalignment='left',
+        multialignment=None,
+        rotation=None,
+        transform_rotates_text=False,
+        linespacing=None,
+        rotation_mode=None,
+        antialiased=None
+    ):
         self.set_text(text)
-        self.set_color(color)
-        self._verticalalignment = verticalalignment
-        self._horizontalalignment = horizontalalignment
+        self.set_color(mpl._val_or_rc(color, "text.color"))
+        self.set_fontproperties(fontproperties)
+        self.set_usetex(usetex)
+        self.set_parse_math(mpl._val_or_rc(parse_math, 'text.parse_math'))
+        self.set_wrap(wrap)
+        self.set_verticalalignment(verticalalignment)
+        self.set_horizontalalignment(horizontalalignment)
         self._multialignment = multialignment
-        self._rotation = rotation
-        self._fontproperties = fontproperties
-        self._bbox = None
+        self.set_rotation(rotation)
+        self._transform_rotates_text = transform_rotates_text
         self._bbox_patch = None  # a FancyBboxPatch instance
         self._renderer = None
         if linespacing is None:
-            linespacing = 1.2   # Maybe use rcParam later.
-        self._linespacing = linespacing
+            linespacing = 1.2  # Maybe use rcParam later.
+        self.set_linespacing(linespacing)
         self.set_rotation_mode(rotation_mode)
-        self.update(kwargs)
-        #self.set_bbox(dict(pad=0))
+        self.set_antialiased(mpl._val_or_rc(antialiased, 'text.antialiased'))
+
+    def update(self, kwargs):
+        # docstring inherited
+        ret = []
+        kwargs = cbook.normalize_kwargs(kwargs, Text)
+        sentinel = object()  # bbox can be None, so use another sentinel.
+        # Update fontproperties first, as it has lowest priority.
+        fontproperties = kwargs.pop("fontproperties", sentinel)
+        if fontproperties is not sentinel:
+            ret.append(self.set_fontproperties(fontproperties))
+        # Update bbox last, as it depends on font properties.
+        bbox = kwargs.pop("bbox", sentinel)
+        ret.extend(super().update(kwargs))
+        if bbox is not sentinel:
+            ret.append(self.set_bbox(bbox))
+        return ret
 
     def __getstate__(self):
-        d = super(Text, self).__getstate__()
+        d = super().__getstate__()
         # remove the cached _renderer (if it exists)
         d['_renderer'] = None
         return d
 
     def contains(self, mouseevent):
-        """Test whether the mouse event occurred in the patch.
-
-        In the case of text, a hit is true anywhere in the
-        axis-aligned bounding-box containing the text.
-
-        Returns True or False.
         """
-        if six.callable(self._contains):
-            return self._contains(self, mouseevent)
-
-        if not self.get_visible() or self._renderer is None:
+        Return whether the mouse event occurred inside the axis-aligned
+        bounding-box of the text.
+        """
+        if (self._different_canvas(mouseevent) or not self.get_visible()
+                or self._renderer is None):
             return False, {}
-
-        l, b, w, h = self.get_window_extent().bounds
-        r, t = l + w, b + h
-
-        x, y = mouseevent.x, mouseevent.y
-        inside = (l <= x <= r and b <= y <= t)
+        # Explicitly use Text.get_window_extent(self) and not
+        # self.get_window_extent() so that Annotation.contains does not
+        # accidentally cover the entire annotation bounding box.
+        bbox = Text.get_window_extent(self)
+        inside = (bbox.x0 <= mouseevent.x <= bbox.x1
+                  and bbox.y0 <= mouseevent.y <= bbox.y1)
         cattr = {}
-
         # if the text has a surrounding patch, also check containment for it,
         # and merge the results with the results for the text.
         if self._bbox_patch:
             patch_inside, patch_cattr = self._bbox_patch.contains(mouseevent)
             inside = inside or patch_inside
             cattr["bbox_patch"] = patch_cattr
-
         return inside, cattr
 
     def _get_xy_display(self):
-        'get the (possibly unit converted) transformed x, y in display coords'
-        x, y = self.get_position()
-        return self.get_transform().transform_point((x, y))
+        """
+        Get the (possibly unit converted) transformed x, y in display coords.
+        """
+        x, y = self.get_unitless_position()
+        return self.get_transform().transform((x, y))
 
     def _get_multialignment(self):
         if self._multialignment is not None:
@@ -257,125 +248,204 @@ def _get_multialignment(self):
         else:
             return self._horizontalalignment
 
+    def _char_index_at(self, x):
+        """
+        Calculate the index closest to the coordinate x in display space.
+
+        The position of text[index] is assumed to be the sum of the widths
+        of all preceding characters text[:index].
+
+        This works only on single line texts.
+        """
+        if not self._text:
+            return 0
+
+        text = self._text
+
+        fontproperties = str(self._fontproperties)
+        if fontproperties not in Text._charsize_cache:
+            Text._charsize_cache[fontproperties] = dict()
+
+        charsize_cache = Text._charsize_cache[fontproperties]
+        for char in set(text):
+            if char not in charsize_cache:
+                self.set_text(char)
+                bb = self.get_window_extent()
+                charsize_cache[char] = bb.x1 - bb.x0
+
+        self.set_text(text)
+        bb = self.get_window_extent()
+
+        size_accum = np.cumsum([0] + [charsize_cache[x] for x in text])
+        std_x = x - bb.x0
+        return (np.abs(size_accum - std_x)).argmin()
+
     def get_rotation(self):
-        'return the text angle as float in degrees'
-        return get_rotation(self._rotation)  # string_or_number -> number
+        """Return the text angle in degrees between 0 and 360."""
+        if self.get_transform_rotates_text():
+            return self.get_transform().transform_angles(
+                [self._rotation], [self.get_unitless_position()]).item(0)
+        else:
+            return self._rotation
 
-    def set_rotation_mode(self, m):
+    def get_transform_rotates_text(self):
+        """
+        Return whether rotations of the transform affect the text direction.
         """
-        set text rotation mode. If "anchor", the un-rotated text
-        will first aligned according to their *ha* and
-        *va*, and then will be rotated with the alignement
-        reference point as a origin. If None (default), the text will be
-        rotated first then will be aligned.
+        return self._transform_rotates_text
+
+    def set_rotation_mode(self, m):
         """
-        if m is None or m in ["anchor", "default"]:
-            self._rotation_mode = m
+        Set text rotation mode.
+
+        Parameters
+        ----------
+        m : {None, 'default', 'anchor', 'xtick', 'ytick'}
+            If ``"default"``, the text will be first rotated, then aligned according
+            to their horizontal and vertical alignments.  If ``"anchor"``, then
+            alignment occurs before rotation. "xtick" and "ytick" adjust the
+            horizontal/vertical alignment so that the text is visually pointing
+            towards its anchor point. This is primarily used for rotated tick
+            labels and positions them nicely towards their ticks. Passing
+            ``None`` will set the rotation mode to ``"default"``.
+        """
+        if m is None:
+            m = "default"
         else:
-            raise ValueError("Unknown rotation_mode : %s" % repr(m))
+            _api.check_in_list(("anchor", "default", "xtick", "ytick"), rotation_mode=m)
+        self._rotation_mode = m
+        self.stale = True
 
     def get_rotation_mode(self):
-        "get text rotation mode"
+        """Return the text rotation mode."""
         return self._rotation_mode
 
+    def set_antialiased(self, antialiased):
+        """
+        Set whether to use antialiased rendering.
+
+        Parameters
+        ----------
+        antialiased : bool
+
+        Notes
+        -----
+        Antialiasing will be determined by :rc:`text.antialiased`
+        and the parameter *antialiased* will have no effect if the text contains
+        math expressions.
+        """
+        self._antialiased = antialiased
+        self.stale = True
+
+    def get_antialiased(self):
+        """Return whether antialiased rendering is used."""
+        return self._antialiased
+
     def update_from(self, other):
-        'Copy properties from other to self'
-        Artist.update_from(self, other)
+        # docstring inherited
+        super().update_from(other)
         self._color = other._color
         self._multialignment = other._multialignment
         self._verticalalignment = other._verticalalignment
         self._horizontalalignment = other._horizontalalignment
         self._fontproperties = other._fontproperties.copy()
+        self._usetex = other._usetex
         self._rotation = other._rotation
+        self._transform_rotates_text = other._transform_rotates_text
         self._picker = other._picker
         self._linespacing = other._linespacing
+        self._antialiased = other._antialiased
+        self.stale = True
 
     def _get_layout(self, renderer):
         """
-        return the extent (bbox) of the text together with
-        multile-alignment information. Note that it returns a extent
+        Return the extent (bbox) of the text together with
+        multiple-alignment information. Note that it returns an extent
         of a rotated text when necessary.
         """
-        key = self.get_prop_tup()
-        if key in self._cached:
-            return self._cached[key]
-
-        horizLayout = []
-
         thisx, thisy = 0.0, 0.0
-        xmin, ymin = 0.0, 0.0
-        width, height = 0.0, 0.0
-        lines = self.get_text().split('\n')
+        lines = self._get_wrapped_text().split("\n")  # Ensures lines is not empty.
 
-        whs = np.zeros((len(lines), 2))
-        horizLayout = np.zeros((len(lines), 4))
+        ws = []
+        hs = []
+        xs = []
+        ys = []
 
-        # Find full vertical extent of font,
-        # including ascenders and descenders:
-        tmp, lp_h, lp_bl = renderer.get_text_width_height_descent('lp',
-                                                         self._fontproperties,
-                                                         ismath=False)
-        offsety = (lp_h - lp_bl) * self._linespacing
+        # Full vertical extent of font, including ascenders and descenders:
+        _, lp_h, lp_d = _get_text_metrics_with_cache(
+            renderer, "lp", self._fontproperties,
+            ismath="TeX" if self.get_usetex() else False,
+            dpi=self.get_figure(root=True).dpi)
+        min_dy = (lp_h - lp_d) * self._linespacing
 
-        baseline = 0
         for i, line in enumerate(lines):
-            clean_line, ismath = self.is_math_text(line)
+            clean_line, ismath = self._preprocess_math(line)
             if clean_line:
-                w, h, d = renderer.get_text_width_height_descent(clean_line,
-                                                        self._fontproperties,
-                                                        ismath=ismath)
+                w, h, d = _get_text_metrics_with_cache(
+                    renderer, clean_line, self._fontproperties,
+                    ismath=ismath, dpi=self.get_figure(root=True).dpi)
             else:
-                w, h, d = 0, 0, 0
+                w = h = d = 0
 
-            # For multiline text, increase the line spacing when the
-            # text net-height(excluding baseline) is larger than that
-            # of a "l" (e.g., use of superscripts), which seems
-            # what TeX does.
+            # For multiline text, increase the line spacing when the text
+            # net-height (excluding baseline) is larger than that of a "l"
+            # (e.g., use of superscripts), which seems what TeX does.
             h = max(h, lp_h)
-            d = max(d, lp_bl)
+            d = max(d, lp_d)
 
-            whs[i] = w, h
+            ws.append(w)
+            hs.append(h)
 
+            # Metrics of the last line that are needed later:
             baseline = (h - d) - thisy
-            thisy -= max(offsety, (h - d) * self._linespacing)
-            horizLayout[i] = thisx, thisy, w, h
+
+            if i == 0:
+                # position at baseline
+                thisy = -(h - d)
+            else:
+                # put baseline a good distance from bottom of previous line
+                thisy -= max(min_dy, (h - d) * self._linespacing)
+
+            xs.append(thisx)  # == 0.
+            ys.append(thisy)
+
             thisy -= d
-            width = max(width, w)
-            descent = d
 
-        ymin = horizLayout[-1][1]
-        ymax = horizLayout[0][1] + horizLayout[0][3]
-        height = ymax - ymin
-        xmax = xmin + width
+        # Metrics of the last line that are needed later:
+        descent = d
+
+        # Bounding box definition:
+        width = max(ws)
+        xmin = 0
+        xmax = width
+        ymax = 0
+        ymin = ys[-1] - descent  # baseline of last line minus its descent
 
         # get the rotation matrix
         M = Affine2D().rotate_deg(self.get_rotation())
 
-        offsetLayout = np.zeros((len(lines), 2))
-        offsetLayout[:] = horizLayout[:, 0:2]
         # now offset the individual text lines within the box
-        if len(lines) > 1:  # do the multiline aligment
-            malign = self._get_multialignment()
-            if malign == 'center':
-                offsetLayout[:, 0] += width / 2.0 - horizLayout[:, 2] / 2.0
-            elif malign == 'right':
-                offsetLayout[:, 0] += width - horizLayout[:, 2]
+        malign = self._get_multialignment()
+        if malign == 'left':
+            offset_layout = [(x, y) for x, y in zip(xs, ys)]
+        elif malign == 'center':
+            offset_layout = [(x + width / 2 - w / 2, y)
+                             for x, y, w in zip(xs, ys, ws)]
+        elif malign == 'right':
+            offset_layout = [(x + width - w, y)
+                             for x, y, w in zip(xs, ys, ws)]
 
         # the corners of the unrotated bounding box
-        cornersHoriz = np.array(
-            [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)],
-            np.float_)
-        cornersHoriz[:, 1] -= descent
+        corners_horiz = np.array(
+            [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)])
 
         # now rotate the bbox
-        cornersRotated = M.transform(cornersHoriz)
-
-        txs = cornersRotated[:, 0]
-        tys = cornersRotated[:, 1]
-
+        corners_rotated = M.transform(corners_horiz)
         # compute the bounds of the rotated box
-        xmin, xmax = txs.min(), txs.max()
-        ymin, ymax = tys.min(), tys.max()
+        xmin = corners_rotated[:, 0].min()
+        xmax = corners_rotated[:, 0].max()
+        ymin = corners_rotated[:, 1].min()
+        ymax = corners_rotated[:, 1].max()
         width = xmax - xmin
         height = ymax - ymin
 
@@ -386,26 +456,33 @@ def _get_layout(self, renderer):
 
         rotation_mode = self.get_rotation_mode()
         if rotation_mode != "anchor":
+            angle = self.get_rotation()
+            if rotation_mode == 'xtick':
+                halign = self._ha_for_angle(angle)
+            elif rotation_mode == 'ytick':
+                valign = self._va_for_angle(angle)
             # compute the text location in display coords and the offsets
             # necessary to align the bbox with that location
             if halign == 'center':
-                offsetx = (xmin + width / 2.0)
+                offsetx = (xmin + xmax) / 2
             elif halign == 'right':
-                offsetx = (xmin + width)
+                offsetx = xmax
             else:
                 offsetx = xmin
 
             if valign == 'center':
-                offsety = (ymin + height / 2.0)
+                offsety = (ymin + ymax) / 2
             elif valign == 'top':
-                offsety = (ymin + height)
+                offsety = ymax
             elif valign == 'baseline':
-                offsety = (ymin + height) - baseline
+                offsety = ymin + descent
+            elif valign == 'center_baseline':
+                offsety = ymin + height - baseline / 2.0
             else:
                 offsety = ymin
         else:
-            xmin1, ymin1 = cornersHoriz[0]
-            xmax1, ymax1 = cornersHoriz[2]
+            xmin1, ymin1 = corners_horiz[0]
+            xmax1, ymax1 = corners_horiz[2]
 
             if halign == 'center':
                 offsetx = (xmin1 + xmax1) / 2.0
@@ -420,1205 +497,1158 @@ def _get_layout(self, renderer):
                 offsety = ymax1
             elif valign == 'baseline':
                 offsety = ymax1 - baseline
+            elif valign == 'center_baseline':
+                offsety = ymax1 - baseline / 2.0
             else:
                 offsety = ymin1
 
-            offsetx, offsety = M.transform_point((offsetx, offsety))
+            offsetx, offsety = M.transform((offsetx, offsety))
 
         xmin -= offsetx
         ymin -= offsety
 
         bbox = Bbox.from_bounds(xmin, ymin, width, height)
 
-        # now rotate the positions around the first x,y position
-        xys = M.transform(offsetLayout)
-        xys -= (offsetx, offsety)
+        # now rotate the positions around the first (x, y) position
+        xys = M.transform(offset_layout) - (offsetx, offsety)
 
-        xs, ys = xys[:, 0], xys[:, 1]
-
-        ret = bbox, list(zip(lines, whs, xs, ys)), descent
-        self._cached[key] = ret
-        return ret
+        return bbox, list(zip(lines, zip(ws, hs), *xys.T)), descent
 
     def set_bbox(self, rectprops):
         """
-        Draw a bounding box around self.  rectprops are any settable
-        properties for a rectangle, e.g., facecolor='red', alpha=0.5.
+        Draw a box behind/around the text.
 
-          t.set_bbox(dict(facecolor='red', alpha=0.5))
+        This can be used to set a background and/or a frame around the text.
+        It's realized through a `.FancyBboxPatch` behind the text (see also
+        `.Text.get_bbox_patch`). The bbox patch is None by default and only
+        created when needed.
 
-        If rectprops has "boxstyle" key. A FancyBboxPatch
-        is initialized with rectprops and will be drawn. The mutation
-        scale of the FancyBboxPath is set to the fontsize.
+        Parameters
+        ----------
+        rectprops : dict with properties for `.FancyBboxPatch` or None
+             The default boxstyle is 'square'. The mutation
+             scale of the `.patches.FancyBboxPatch` is set to the fontsize.
 
-        ACCEPTS: rectangle prop dict
-        """
+             Pass ``None`` to remove the bbox patch completely.
 
-        # The self._bbox_patch object is created only if rectprops has
-        # boxstyle key. Otherwise, self._bbox will be set to the
-        # rectprops and the bbox will be drawn using bbox_artist
-        # function. This is to keep the backward compatibility.
+        Examples
+        --------
+        ::
 
-        if rectprops is not None and "boxstyle" in rectprops:
-            props = rectprops.copy()
-            boxstyle = props.pop("boxstyle")
-            bbox_transmuter = props.pop("bbox_transmuter", None)
+            t.set_bbox(dict(facecolor='red', alpha=0.5))
+        """
 
+        if rectprops is not None:
+            props = rectprops.copy()
+            boxstyle = props.pop("boxstyle", None)
+            pad = props.pop("pad", None)
+            if boxstyle is None:
+                boxstyle = "square"
+                if pad is None:
+                    pad = 4  # points
+                pad /= self.get_size()  # to fraction of font size
+            else:
+                if pad is None:
+                    pad = 0.3
+            # boxstyle could be a callable or a string
+            if isinstance(boxstyle, str) and "pad" not in boxstyle:
+                boxstyle += ",pad=%0.2f" % pad
             self._bbox_patch = FancyBboxPatch(
-                                    (0., 0.),
-                                    1., 1.,
-                                    boxstyle=boxstyle,
-                                    bbox_transmuter=bbox_transmuter,
-                                    transform=mtransforms.IdentityTransform(),
-                                    **props)
-            self._bbox = None
+                (0, 0), 1, 1,
+                boxstyle=boxstyle, transform=IdentityTransform(), **props)
         else:
             self._bbox_patch = None
-            self._bbox = rectprops
+
+        self._update_clip_properties()
 
     def get_bbox_patch(self):
         """
-        Return the bbox Patch object. Returns None if the the
-        FancyBboxPatch is not made.
+        Return the bbox Patch, or None if the `.patches.FancyBboxPatch`
+        is not made.
+
+        For more details see `.Text.set_bbox`.
         """
         return self._bbox_patch
 
     def update_bbox_position_size(self, renderer):
         """
-        Update the location and the size of the bbox. This method
-        should be used when the position and size of the bbox needs to
-        be updated before actually drawing the bbox.
-        """
+        Update the location and the size of the bbox.
 
+        This method should be used when the position and size of the bbox needs
+        to be updated before actually drawing the bbox.
+        """
         if self._bbox_patch:
-
-            trans = self.get_transform()
-
-            # don't use self.get_position here, which refers to text position
-            # in Text, and dash position in TextWithDash:
+            # don't use self.get_unitless_position here, which refers to text
+            # position in Text:
             posx = float(self.convert_xunits(self._x))
             posy = float(self.convert_yunits(self._y))
-
-            posx, posy = trans.transform_point((posx, posy))
+            posx, posy = self.get_transform().transform((posx, posy))
 
             x_box, y_box, w_box, h_box = _get_textbox(self, renderer)
             self._bbox_patch.set_bounds(0., 0., w_box, h_box)
-            theta = np.deg2rad(self.get_rotation())
-            tr = mtransforms.Affine2D().rotate(theta)
-            tr = tr.translate(posx + x_box, posy + y_box)
-            self._bbox_patch.set_transform(tr)
+            self._bbox_patch.set_transform(
+                Affine2D()
+                .rotate_deg(self.get_rotation())
+                .translate(posx + x_box, posy + y_box))
             fontsize_in_pixel = renderer.points_to_pixels(self.get_size())
             self._bbox_patch.set_mutation_scale(fontsize_in_pixel)
-            #self._bbox_patch.draw(renderer)
 
-    def _draw_bbox(self, renderer, posx, posy):
+    def _update_clip_properties(self):
+        if self._bbox_patch:
+            clipprops = dict(clip_box=self.clipbox,
+                             clip_path=self._clippath,
+                             clip_on=self._clipon)
+            self._bbox_patch.update(clipprops)
+
+    def set_clip_box(self, clipbox):
+        # docstring inherited.
+        super().set_clip_box(clipbox)
+        self._update_clip_properties()
+
+    def set_clip_path(self, path, transform=None):
+        # docstring inherited.
+        super().set_clip_path(path, transform)
+        self._update_clip_properties()
 
-        """ Update the location and the size of the bbox
-        (FancyBoxPatch), and draw
+    def set_clip_on(self, b):
+        # docstring inherited.
+        super().set_clip_on(b)
+        self._update_clip_properties()
+
+    def get_wrap(self):
+        """Return whether the text can be wrapped."""
+        return self._wrap
+
+    def set_wrap(self, wrap):
         """
+        Set whether the text can be wrapped.
 
-        x_box, y_box, w_box, h_box = _get_textbox(self, renderer)
-        self._bbox_patch.set_bounds(0., 0., w_box, h_box)
-        theta = np.deg2rad(self.get_rotation())
-        tr = mtransforms.Affine2D().rotate(theta)
-        tr = tr.translate(posx + x_box, posy + y_box)
-        self._bbox_patch.set_transform(tr)
-        fontsize_in_pixel = renderer.points_to_pixels(self.get_size())
-        self._bbox_patch.set_mutation_scale(fontsize_in_pixel)
-        self._bbox_patch.draw(renderer)
+        Wrapping makes sure the text is confined to the (sub)figure box. It
+        does not take into account any other artists.
 
-    @allow_rasterization
-    def draw(self, renderer):
+        Parameters
+        ----------
+        wrap : bool
+
+        Notes
+        -----
+        Wrapping does not work together with
+        ``savefig(..., bbox_inches='tight')`` (which is also used internally
+        by ``%matplotlib inline`` in IPython/Jupyter). The 'tight' setting
+        rescales the canvas to accommodate all content and happens before
+        wrapping.
+        """
+        self._wrap = wrap
+
+    def _get_wrap_line_width(self):
+        """
+        Return the maximum line width for wrapping text based on the current
+        orientation.
+        """
+        x0, y0 = self.get_transform().transform(self.get_position())
+        figure_box = self.get_figure().get_window_extent()
+
+        # Calculate available width based on text alignment
+        alignment = self.get_horizontalalignment()
+        self.set_rotation_mode('anchor')
+        rotation = self.get_rotation()
+
+        left = self._get_dist_to_box(rotation, x0, y0, figure_box)
+        right = self._get_dist_to_box(
+            (180 + rotation) % 360, x0, y0, figure_box)
+
+        if alignment == 'left':
+            line_width = left
+        elif alignment == 'right':
+            line_width = right
+        else:
+            line_width = 2 * min(left, right)
+
+        return line_width
+
+    def _get_dist_to_box(self, rotation, x0, y0, figure_box):
+        """
+        Return the distance from the given points to the boundaries of a
+        rotated box, in pixels.
+        """
+        if rotation > 270:
+            quad = rotation - 270
+            h1 = (y0 - figure_box.y0) / math.cos(math.radians(quad))
+            h2 = (figure_box.x1 - x0) / math.cos(math.radians(90 - quad))
+        elif rotation > 180:
+            quad = rotation - 180
+            h1 = (x0 - figure_box.x0) / math.cos(math.radians(quad))
+            h2 = (y0 - figure_box.y0) / math.cos(math.radians(90 - quad))
+        elif rotation > 90:
+            quad = rotation - 90
+            h1 = (figure_box.y1 - y0) / math.cos(math.radians(quad))
+            h2 = (x0 - figure_box.x0) / math.cos(math.radians(90 - quad))
+        else:
+            h1 = (figure_box.x1 - x0) / math.cos(math.radians(rotation))
+            h2 = (figure_box.y1 - y0) / math.cos(math.radians(90 - rotation))
+
+        return min(h1, h2)
+
+    def _get_rendered_text_width(self, text):
+        """
+        Return the width of a given text string, in pixels.
+        """
+
+        w, h, d = _get_text_metrics_with_cache(
+            self._renderer, text, self.get_fontproperties(),
+            cbook.is_math_text(text),
+            self.get_figure(root=True).dpi)
+        return math.ceil(w)
+
+    def _get_wrapped_text(self):
         """
-        Draws the :class:`Text` object to the given *renderer*.
+        Return a copy of the text string with new lines added so that the text
+        is wrapped relative to the parent figure (if `get_wrap` is True).
         """
+        if not self.get_wrap():
+            return self.get_text()
+
+        # Not fit to handle breaking up latex syntax correctly, so
+        # ignore latex for now.
+        if self.get_usetex():
+            return self.get_text()
+
+        # Build the line incrementally, for a more accurate measure of length
+        line_width = self._get_wrap_line_width()
+        wrapped_lines = []
+
+        # New lines in the user's text force a split
+        unwrapped_lines = self.get_text().split('\n')
+
+        # Now wrap each individual unwrapped line
+        for unwrapped_line in unwrapped_lines:
+
+            sub_words = unwrapped_line.split(' ')
+            # Remove items from sub_words as we go, so stop when empty
+            while len(sub_words) > 0:
+                if len(sub_words) == 1:
+                    # Only one word, so just add it to the end
+                    wrapped_lines.append(sub_words.pop(0))
+                    continue
+
+                for i in range(2, len(sub_words) + 1):
+                    # Get width of all words up to and including here
+                    line = ' '.join(sub_words[:i])
+                    current_width = self._get_rendered_text_width(line)
+
+                    # If all these words are too wide, append all not including
+                    # last word
+                    if current_width > line_width:
+                        wrapped_lines.append(' '.join(sub_words[:i - 1]))
+                        sub_words = sub_words[i - 1:]
+                        break
+
+                    # Otherwise if all words fit in the width, append them all
+                    elif i == len(sub_words):
+                        wrapped_lines.append(' '.join(sub_words[:i]))
+                        sub_words = []
+                        break
+
+        return '\n'.join(wrapped_lines)
+
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        # docstring inherited
+
         if renderer is not None:
             self._renderer = renderer
         if not self.get_visible():
             return
-        if self.get_text().strip() == '':
+        if self.get_text() == '':
             return
 
         renderer.open_group('text', self.get_gid())
 
-        bbox, info, descent = self._get_layout(renderer)
-        trans = self.get_transform()
-
-        # don't use self.get_position here, which refers to text position
-        # in Text, and dash position in TextWithDash:
-        posx = float(self.convert_xunits(self._x))
-        posy = float(self.convert_yunits(self._y))
+        with self._cm_set(text=self._get_wrapped_text()):
+            bbox, info, descent = self._get_layout(renderer)
+            trans = self.get_transform()
 
-        posx, posy = trans.transform_point((posx, posy))
-        canvasw, canvash = renderer.get_canvas_width_height()
+            # don't use self.get_position here, which refers to text
+            # position in Text:
+            x, y = self._x, self._y
+            if np.ma.is_masked(x):
+                x = np.nan
+            if np.ma.is_masked(y):
+                y = np.nan
+            posx = float(self.convert_xunits(x))
+            posy = float(self.convert_yunits(y))
+            posx, posy = trans.transform((posx, posy))
+            if np.isnan(posx) or np.isnan(posy):
+                return  # don't throw a warning here
+            if not np.isfinite(posx) or not np.isfinite(posy):
+                _log.warning("posx and posy should be finite values")
+                return
+            canvasw, canvash = renderer.get_canvas_width_height()
+
+            # Update the location and size of the bbox
+            # (`.patches.FancyBboxPatch`), and draw it.
+            if self._bbox_patch:
+                self.update_bbox_position_size(renderer)
+                self._bbox_patch.draw(renderer)
+
+            gc = renderer.new_gc()
+            gc.set_foreground(self.get_color())
+            gc.set_alpha(self.get_alpha())
+            gc.set_url(self._url)
+            gc.set_antialiased(self._antialiased)
+            self._set_gc_clip(gc)
+
+            angle = self.get_rotation()
+
+            for line, wh, x, y in info:
+
+                mtext = self if len(info) == 1 else None
+                x = x + posx
+                y = y + posy
+                if renderer.flipy():
+                    y = canvash - y
+                clean_line, ismath = self._preprocess_math(line)
+
+                if self.get_path_effects():
+                    from matplotlib.patheffects import PathEffectRenderer
+                    textrenderer = PathEffectRenderer(
+                        self.get_path_effects(), renderer)
+                else:
+                    textrenderer = renderer
 
-        # draw the FancyBboxPatch
-        if self._bbox_patch:
-            self._draw_bbox(renderer, posx, posy)
-
-        gc = renderer.new_gc()
-        gc.set_foreground(self.get_color())
-        gc.set_alpha(self.get_alpha())
-        gc.set_url(self._url)
-        self._set_gc_clip(gc)
-
-        if self._bbox:
-            bbox_artist(self, renderer, self._bbox)
-        angle = self.get_rotation()
-
-        for line, wh, x, y in info:
-            if not np.isfinite(x) or not np.isfinite(y):
-                continue
-
-            mtext = self if len(info) == 1 else None
-            x = x + posx
-            y = y + posy
-            if renderer.flipy():
-                y = canvash - y
-            clean_line, ismath = self.is_math_text(line)
-
-            if self.get_path_effects():
-                from matplotlib.patheffects import PathEffectRenderer
-                renderer = PathEffectRenderer(self.get_path_effects(),
-                                              renderer)
-
-            if rcParams['text.usetex']:
-                renderer.draw_tex(gc, x, y, clean_line,
-                                  self._fontproperties, angle, mtext=mtext)
-            else:
-                renderer.draw_text(gc, x, y, clean_line,
-                                   self._fontproperties, angle,
-                                   ismath=ismath, mtext=mtext)
+                if self.get_usetex():
+                    textrenderer.draw_tex(gc, x, y, clean_line,
+                                          self._fontproperties, angle,
+                                          mtext=mtext)
+                else:
+                    textrenderer.draw_text(gc, x, y, clean_line,
+                                           self._fontproperties, angle,
+                                           ismath=ismath, mtext=mtext)
 
         gc.restore()
         renderer.close_group('text')
+        self.stale = False
 
     def get_color(self):
-        "Return the color of the text"
+        """Return the color of the text."""
         return self._color
 
     def get_fontproperties(self):
-        "Return the :class:`~font_manager.FontProperties` object"
+        """Return the `.font_manager.FontProperties`."""
         return self._fontproperties
 
-    def get_font_properties(self):
-        'alias for get_fontproperties'
-        return self.get_fontproperties()
+    def get_fontfamily(self):
+        """
+        Return the list of font families used for font lookup.
 
-    def get_family(self):
-        "Return the list of font families used for font lookup"
+        See Also
+        --------
+        .font_manager.FontProperties.get_family
+        """
         return self._fontproperties.get_family()
 
-    def get_fontfamily(self):
-        'alias for get_family'
-        return self.get_family()
+    def get_fontname(self):
+        """
+        Return the font name as a string.
 
-    def get_name(self):
-        "Return the font name as string"
+        See Also
+        --------
+        .font_manager.FontProperties.get_name
+        """
         return self._fontproperties.get_name()
 
-    def get_style(self):
-        "Return the font style as string"
+    def get_fontstyle(self):
+        """
+        Return the font style as a string.
+
+        See Also
+        --------
+        .font_manager.FontProperties.get_style
+        """
         return self._fontproperties.get_style()
 
-    def get_size(self):
-        "Return the font size as integer"
-        return self._fontproperties.get_size_in_points()
+    def get_fontsize(self):
+        """
+        Return the font size as an integer.
 
-    def get_variant(self):
-        "Return the font variant as a string"
-        return self._fontproperties.get_variant()
+        See Also
+        --------
+        .font_manager.FontProperties.get_size_in_points
+        """
+        return self._fontproperties.get_size_in_points()
 
     def get_fontvariant(self):
-        'alias for get_variant'
-        return self.get_variant()
-
-    def get_weight(self):
-        "Get the font weight as string or number"
-        return self._fontproperties.get_weight()
-
-    def get_fontname(self):
-        'alias for get_name'
-        return self.get_name()
-
-    def get_fontstyle(self):
-        'alias for get_style'
-        return self.get_style()
+        """
+        Return the font variant as a string.
 
-    def get_fontsize(self):
-        'alias for get_size'
-        return self.get_size()
+        See Also
+        --------
+        .font_manager.FontProperties.get_variant
+        """
+        return self._fontproperties.get_variant()
 
     def get_fontweight(self):
-        'alias for get_weight'
-        return self.get_weight()
+        """
+        Return the font weight as a string or a number.
 
-    def get_stretch(self):
-        'Get the font stretch as a string or number'
-        return self._fontproperties.get_stretch()
+        See Also
+        --------
+        .font_manager.FontProperties.get_weight
+        """
+        return self._fontproperties.get_weight()
 
-    def get_fontstretch(self):
-        'alias for get_stretch'
-        return self.get_stretch()
+    def get_stretch(self):
+        """
+        Return the font stretch as a string or a number.
 
-    def get_ha(self):
-        'alias for get_horizontalalignment'
-        return self.get_horizontalalignment()
+        See Also
+        --------
+        .font_manager.FontProperties.get_stretch
+        """
+        return self._fontproperties.get_stretch()
 
     def get_horizontalalignment(self):
         """
-        Return the horizontal alignment as string.  Will be one of
+        Return the horizontal alignment as a string.  Will be one of
         'left', 'center' or 'right'.
         """
         return self._horizontalalignment
 
-    def get_position(self):
-        "Return the position of the text as a tuple (*x*, *y*)"
+    def get_unitless_position(self):
+        """Return the (x, y) unitless position of the text."""
+        # This will get the position with all unit information stripped away.
+        # This is here for convenience since it is done in several locations.
         x = float(self.convert_xunits(self._x))
         y = float(self.convert_yunits(self._y))
         return x, y
 
-    def get_prop_tup(self):
-        """
-        Return a hashable tuple of properties.
-
-        Not intended to be human readable, but useful for backends who
-        want to cache derived information about text (e.g., layouts) and
-        need to know if the text has changed.
-        """
-        x, y = self.get_position()
-        return (x, y, self.get_text(), self._color,
-                self._verticalalignment, self._horizontalalignment,
-                hash(self._fontproperties),
-                self._rotation, self._rotation_mode,
-                self.figure.dpi, id(self._renderer),
-                )
+    def get_position(self):
+        """Return the (x, y) position of the text."""
+        # This should return the same data (possible unitized) as was
+        # specified with 'set_x' and 'set_y'.
+        return self._x, self._y
 
     def get_text(self):
-        "Get the text as string"
+        """Return the text string."""
         return self._text
 
-    def get_va(self):
-        'alias for :meth:`getverticalalignment`'
-        return self.get_verticalalignment()
-
     def get_verticalalignment(self):
         """
-        Return the vertical alignment as string.  Will be one of
-        'top', 'center', 'bottom' or 'baseline'.
+        Return the vertical alignment as a string.  Will be one of
+        'top', 'center', 'bottom', 'baseline' or 'center_baseline'.
         """
         return self._verticalalignment
 
     def get_window_extent(self, renderer=None, dpi=None):
-        '''
-        Return a :class:`~matplotlib.transforms.Bbox` object bounding
-        the text, in display units.
-
-        In addition to being used internally, this is useful for
-        specifying clickable regions in a png file on a web page.
-
-        *renderer* defaults to the _renderer attribute of the text
-        object.  This is not assigned until the first execution of
-        :meth:`draw`, so you must use this kwarg if you want
-        to call :meth:`get_window_extent` prior to the first
-        :meth:`draw`.  For getting web page regions, it is
-        simpler to call the method after saving the figure.
-
-        *dpi* defaults to self.figure.dpi; the renderer dpi is
-        irrelevant.  For the web application, if figure.dpi is not
-        the value used when saving the figure, then the value that
-        was used must be specified as the *dpi* argument.
-        '''
-        #return _unit_box
+        """
+        Return the `.Bbox` bounding the text, in display units.
+
+        In addition to being used internally, this is useful for specifying
+        clickable regions in a png file on a web page.
+
+        Parameters
+        ----------
+        renderer : Renderer, optional
+            A renderer is needed to compute the bounding box.  If the artist
+            has already been drawn, the renderer is cached; thus, it is only
+            necessary to pass this argument when calling `get_window_extent`
+            before the first draw.  In practice, it is usually easier to
+            trigger a draw first, e.g. by calling
+            `~.Figure.draw_without_rendering` or ``plt.show()``.
+
+        dpi : float, optional
+            The dpi value for computing the bbox, defaults to
+            ``self.get_figure(root=True).dpi`` (*not* the renderer dpi); should be set
+            e.g. if to match regions with a figure saved with a custom dpi value.
+        """
         if not self.get_visible():
             return Bbox.unit()
-        if dpi is not None:
-            dpi_orig = self.figure.dpi
-            self.figure.dpi = dpi
-        if self.get_text().strip() == '':
-            tx, ty = self._get_xy_display()
-            return Bbox.from_bounds(tx, ty, 0, 0)
+
+        fig = self.get_figure(root=True)
+        if dpi is None:
+            dpi = fig.dpi
+        if self.get_text() == '':
+            with cbook._setattr_cm(fig, dpi=dpi):
+                tx, ty = self._get_xy_display()
+                return Bbox.from_bounds(tx, ty, 0, 0)
 
         if renderer is not None:
             self._renderer = renderer
         if self._renderer is None:
-            raise RuntimeError('Cannot get window extent w/o renderer')
+            self._renderer = fig._get_renderer()
+        if self._renderer is None:
+            raise RuntimeError(
+                "Cannot get window extent of text w/o renderer. You likely "
+                "want to call 'figure.draw_without_rendering()' first.")
 
-        bbox, info, descent = self._get_layout(self._renderer)
-        x, y = self.get_position()
-        x, y = self.get_transform().transform_point((x, y))
-        bbox = bbox.translated(x, y)
-        if dpi is not None:
-            self.figure.dpi = dpi_orig
-        return bbox
+        with cbook._setattr_cm(fig, dpi=dpi):
+            bbox, info, descent = self._get_layout(self._renderer)
+            x, y = self.get_unitless_position()
+            x, y = self.get_transform().transform((x, y))
+            bbox = bbox.translated(x, y)
+            return bbox
 
     def set_backgroundcolor(self, color):
         """
-        Set the background color of the text by updating the bbox.
+        Set the background color of the text.
 
-        .. seealso::
+        This is realized through the bbox (see `.set_bbox`),
+        creating the bbox patch if needed.
 
-            :meth:`set_bbox`
-               To change the position of the bounding box.
+        Parameters
+        ----------
+        color : :mpltype:`color`
 
-        ACCEPTS: any matplotlib color
+        See Also
+        --------
+        .set_bbox : To change the position of the bounding box
         """
-        if self._bbox is None:
-            self._bbox = dict(facecolor=color, edgecolor=color)
+        if self._bbox_patch is None:
+            self.set_bbox(dict(facecolor=color, edgecolor=color))
         else:
-            self._bbox.update(dict(facecolor=color))
+            self._bbox_patch.update(dict(facecolor=color))
+
+        self._update_clip_properties()
+        self.stale = True
 
     def set_color(self, color):
         """
         Set the foreground color of the text
 
-        ACCEPTS: any matplotlib color
+        Parameters
+        ----------
+        color : :mpltype:`color`
         """
-        # Make sure it is hashable, or get_prop_tup will fail.
-        try:
-            hash(color)
-        except TypeError:
-            color = tuple(color)
+        # "auto" is only supported by axisartist, but we can just let it error
+        # out at draw time for simplicity.
+        if not cbook._str_equal(color, "auto"):
+            mpl.colors._check_color_like(color=color)
         self._color = color
-
-    def set_ha(self, align):
-        'alias for set_horizontalalignment'
-        self.set_horizontalalignment(align)
+        self.stale = True
 
     def set_horizontalalignment(self, align):
         """
-        Set the horizontal alignment to one of
+        Set the horizontal alignment relative to the anchor point.
+
+        See also :doc:`/gallery/text_labels_and_annotations/text_alignment`.
 
-        ACCEPTS: [ 'center' | 'right' | 'left' ]
+        Parameters
+        ----------
+        align : {'left', 'center', 'right'}
         """
-        legal = ('center', 'right', 'left')
-        if align not in legal:
-            raise ValueError('Horizontal alignment must be one of %s' %
-                             str(legal))
+        _api.check_in_list(['center', 'right', 'left'], align=align)
         self._horizontalalignment = align
-
-    def set_ma(self, align):
-        'alias for set_verticalalignment'
-        self.set_multialignment(align)
+        self.stale = True
 
     def set_multialignment(self, align):
         """
-        Set the alignment for multiple lines layout.  The layout of the
-        bounding box of all the lines is determined bu the horizontalalignment
-        and verticalalignment properties, but the multiline text within that
-        box can be
+        Set the text alignment for multiline texts.
 
-        ACCEPTS: ['left' | 'right' | 'center' ]
+        The layout of the bounding box of all the lines is determined by the
+        horizontalalignment and verticalalignment properties. This property
+        controls the alignment of the text lines within that box.
+
+        Parameters
+        ----------
+        align : {'left', 'right', 'center'}
         """
-        legal = ('center', 'right', 'left')
-        if align not in legal:
-            raise ValueError('Horizontal alignment must be one of %s' %
-                             str(legal))
+        _api.check_in_list(['center', 'right', 'left'], align=align)
         self._multialignment = align
+        self.stale = True
 
     def set_linespacing(self, spacing):
         """
         Set the line spacing as a multiple of the font size.
-        Default is 1.2.
 
-        ACCEPTS: float (multiple of font size)
+        The default line spacing is 1.2.
+
+        Parameters
+        ----------
+        spacing : float (multiple of font size)
         """
+        _api.check_isinstance(Real, spacing=spacing)
         self._linespacing = spacing
+        self.stale = True
 
-    def set_family(self, fontname):
+    def set_fontfamily(self, fontname):
         """
-        Set the font family.  May be either a single string, or a list
-        of strings in decreasing priority.  Each string may be either
-        a real font name or a generic font class name.  If the latter,
-        the specific font names will be looked up in the
-        :file:`matplotlibrc` file.
+        Set the font family.  Can be either a single string, or a list of
+        strings in decreasing priority.  Each string may be either a real font
+        name or a generic font class name.  If the latter, the specific font
+        names will be looked up in the corresponding rcParams.
+
+        If a `Text` instance is constructed with ``fontfamily=None``, then the
+        font is set to :rc:`font.family`, and the
+        same is done when `set_fontfamily()` is called on an existing
+        `Text` instance.
 
-        ACCEPTS: [FONTNAME | 'serif' | 'sans-serif' | 'cursive' | 'fantasy' |
-                  'monospace' ]
+        Parameters
+        ----------
+        fontname : {FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', \
+'monospace'}
+
+        See Also
+        --------
+        .font_manager.FontProperties.set_family
         """
         self._fontproperties.set_family(fontname)
+        self.stale = True
 
-    def set_variant(self, variant):
+    def set_fontvariant(self, variant):
         """
-        Set the font variant, either 'normal' or 'small-caps'.
+        Set the font variant.
+
+        Parameters
+        ----------
+        variant : {'normal', 'small-caps'}
 
-        ACCEPTS: [ 'normal' | 'small-caps' ]
+        See Also
+        --------
+        .font_manager.FontProperties.set_variant
         """
         self._fontproperties.set_variant(variant)
+        self.stale = True
 
-    def set_fontvariant(self, variant):
-        'alias for set_variant'
-        return self.set_variant(variant)
+    def set_fontstyle(self, fontstyle):
+        """
+        Set the font style.
 
-    def set_name(self, fontname):
-        """alias for set_family"""
-        return self.set_family(fontname)
+        Parameters
+        ----------
+        fontstyle : {'normal', 'italic', 'oblique'}
 
-    def set_fontname(self, fontname):
-        """alias for set_family"""
-        self.set_family(fontname)
+        See Also
+        --------
+        .font_manager.FontProperties.set_style
+        """
+        self._fontproperties.set_style(fontstyle)
+        self.stale = True
 
-    def set_style(self, fontstyle):
+    def set_fontsize(self, fontsize):
         """
-        Set the font style.
+        Set the font size.
+
+        Parameters
+        ----------
+        fontsize : float or {'xx-small', 'x-small', 'small', 'medium', \
+'large', 'x-large', 'xx-large'}
+            If a float, the fontsize in points. The string values denote sizes
+            relative to the default font size.
 
-        ACCEPTS: [ 'normal' | 'italic' | 'oblique']
+        See Also
+        --------
+        .font_manager.FontProperties.set_size
         """
-        self._fontproperties.set_style(fontstyle)
+        self._fontproperties.set_size(fontsize)
+        self.stale = True
 
-    def set_fontstyle(self, fontstyle):
-        'alias for set_style'
-        return self.set_style(fontstyle)
+    def get_math_fontfamily(self):
+        """
+        Return the font family name for math text rendered by Matplotlib.
+
+        The default value is :rc:`mathtext.fontset`.
 
-    def set_size(self, fontsize):
+        See Also
+        --------
+        set_math_fontfamily
         """
-        Set the font size.  May be either a size string, relative to
-        the default font size, or an absolute font size in points.
+        return self._fontproperties.get_math_fontfamily()
 
-        ACCEPTS: [size in points | 'xx-small' | 'x-small' | 'small' |
-                  'medium' | 'large' | 'x-large' | 'xx-large' ]
+    def set_math_fontfamily(self, fontfamily):
         """
-        self._fontproperties.set_size(fontsize)
+        Set the font family for math text rendered by Matplotlib.
 
-    def set_fontsize(self, fontsize):
-        'alias for set_size'
-        return self.set_size(fontsize)
+        This does only affect Matplotlib's own math renderer. It has no effect
+        when rendering with TeX (``usetex=True``).
 
-    def set_weight(self, weight):
+        Parameters
+        ----------
+        fontfamily : str
+            The name of the font family.
+
+            Available font families are defined in the
+            :ref:`default matplotlibrc file
+            <customizing-with-matplotlibrc-files>`.
+
+        See Also
+        --------
+        get_math_fontfamily
+        """
+        self._fontproperties.set_math_fontfamily(fontfamily)
+
+    def set_fontweight(self, weight):
         """
         Set the font weight.
 
-        ACCEPTS: [a numeric value in range 0-1000 | 'ultralight' | 'light' |
-                  'normal' | 'regular' | 'book' | 'medium' | 'roman' |
-                  'semibold' | 'demibold' | 'demi' | 'bold' | 'heavy' |
-                  'extra bold' | 'black' ]
+        Parameters
+        ----------
+        weight : {a numeric value in range 0-1000, 'ultralight', 'light', \
+'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', \
+'demi', 'bold', 'heavy', 'extra bold', 'black'}
+
+        See Also
+        --------
+        .font_manager.FontProperties.set_weight
         """
         self._fontproperties.set_weight(weight)
+        self.stale = True
 
-    def set_fontweight(self, weight):
-        'alias for set_weight'
-        return self.set_weight(weight)
-
-    def set_stretch(self, stretch):
+    def set_fontstretch(self, stretch):
         """
         Set the font stretch (horizontal condensation or expansion).
 
-        ACCEPTS: [a numeric value in range 0-1000 | 'ultra-condensed' |
-                  'extra-condensed' | 'condensed' | 'semi-condensed' |
-                  'normal' | 'semi-expanded' | 'expanded' | 'extra-expanded' |
-                  'ultra-expanded' ]
+        Parameters
+        ----------
+        stretch : {a numeric value in range 0-1000, 'ultra-condensed', \
+'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', \
+'expanded', 'extra-expanded', 'ultra-expanded'}
+
+        See Also
+        --------
+        .font_manager.FontProperties.set_stretch
         """
         self._fontproperties.set_stretch(stretch)
-
-    def set_fontstretch(self, stretch):
-        'alias for set_stretch'
-        return self.set_stretch(stretch)
+        self.stale = True
 
     def set_position(self, xy):
         """
-        Set the (*x*, *y*) position of the text
+        Set the (*x*, *y*) position of the text.
 
-        ACCEPTS: (x,y)
+        Parameters
+        ----------
+        xy : (float, float)
         """
         self.set_x(xy[0])
         self.set_y(xy[1])
 
     def set_x(self, x):
         """
-        Set the *x* position of the text
+        Set the *x* position of the text.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        x : float
         """
         self._x = x
+        self.stale = True
 
     def set_y(self, y):
         """
-        Set the *y* position of the text
+        Set the *y* position of the text.
 
-        ACCEPTS: float
+        Parameters
+        ----------
+        y : float
         """
         self._y = y
+        self.stale = True
 
     def set_rotation(self, s):
         """
-        Set the rotation of the text
+        Set the rotation of the text.
 
-        ACCEPTS: [ angle in degrees | 'vertical' | 'horizontal' ]
+        Parameters
+        ----------
+        s : float or {'vertical', 'horizontal'}
+            The rotation angle in degrees in mathematically positive direction
+            (counterclockwise). 'horizontal' equals 0, 'vertical' equals 90.
         """
-        self._rotation = s
-
-    def set_va(self, align):
-        'alias for set_verticalalignment'
-        self.set_verticalalignment(align)
+        if isinstance(s, Real):
+            self._rotation = float(s) % 360
+        elif cbook._str_equal(s, 'horizontal') or s is None:
+            self._rotation = 0.
+        elif cbook._str_equal(s, 'vertical'):
+            self._rotation = 90.
+        else:
+            raise ValueError("rotation must be 'vertical', 'horizontal' or "
+                             f"a number, not {s}")
+        self.stale = True
 
-    def set_verticalalignment(self, align):
+    def set_transform_rotates_text(self, t):
         """
-        Set the vertical alignment
+        Whether rotations of the transform affect the text direction.
 
-        ACCEPTS: [ 'center' | 'top' | 'bottom' | 'baseline' ]
+        Parameters
+        ----------
+        t : bool
         """
-        legal = ('top', 'bottom', 'center', 'baseline')
-        if align not in legal:
-            raise ValueError('Vertical alignment must be one of %s' %
-                             str(legal))
-
-        self._verticalalignment = align
+        self._transform_rotates_text = t
+        self.stale = True
 
-    def set_text(self, s):
+    def set_verticalalignment(self, align):
         """
-        Set the text string *s*
+        Set the vertical alignment relative to the anchor point.
 
-        It may contain newlines (``\\n``) or math in LaTeX syntax.
+        See also :doc:`/gallery/text_labels_and_annotations/text_alignment`.
 
-        ACCEPTS: string or anything printable with '%s' conversion.
+        Parameters
+        ----------
+        align : {'baseline', 'bottom', 'center', 'center_baseline', 'top'}
         """
-        self._text = '%s' % (s,)
-
-    @staticmethod
-    def is_math_text(s):
-        """
-        Returns a cleaned string and a boolean flag.
-        The flag indicates if the given string *s* contains any mathtext,
-        determined by counting unescaped dollar signs. If no mathtext
-        is present, the cleaned string has its dollar signs unescaped.
-        If usetex is on, the flag always has the value "TeX".
-        """
-        # Did we find an even number of non-escaped dollar signs?
-        # If so, treat is as math text.
-        if rcParams['text.usetex']:
-            if s == ' ':
-                s = r'\ '
-            return s, 'TeX'
+        _api.check_in_list(
+            ['top', 'bottom', 'center', 'baseline', 'center_baseline'],
+            align=align)
+        self._verticalalignment = align
+        self.stale = True
 
-        if cbook.is_math_text(s):
+    def set_text(self, s):
+        r"""
+        Set the text string *s*.
+
+        It may contain newlines (``\n``) or math in LaTeX syntax.
+
+        Parameters
+        ----------
+        s : object
+            Any object gets converted to its `str` representation, except for
+            ``None`` which is converted to an empty string.
+        """
+        s = '' if s is None else str(s)
+        if s != self._text:
+            self._text = s
+            self.stale = True
+
+    def _preprocess_math(self, s):
+        """
+        Return the string *s* after mathtext preprocessing, and the kind of
+        mathtext support needed.
+
+        - If *self* is configured to use TeX, return *s* unchanged except that
+          a single space gets escaped, and the flag "TeX".
+        - Otherwise, if *s* is mathtext (has an even number of unescaped dollar
+          signs) and ``parse_math`` is not set to False, return *s* and the
+          flag True.
+        - Otherwise, return *s* with dollar signs unescaped, and the flag
+          False.
+        """
+        if self.get_usetex():
+            if s == " ":
+                s = r"\ "
+            return s, "TeX"
+        elif not self.get_parse_math():
+            return s, False
+        elif cbook.is_math_text(s):
             return s, True
         else:
-            return s.replace(r'\$', '$'), False
+            return s.replace(r"\$", "$"), False
 
     def set_fontproperties(self, fp):
         """
-        Set the font properties that control the text.  *fp* must be a
-        :class:`matplotlib.font_manager.FontProperties` object.
+        Set the font properties that control the text.
 
-        ACCEPTS: a :class:`matplotlib.font_manager.FontProperties` instance
+        Parameters
+        ----------
+        fp : `.font_manager.FontProperties` or `str` or `pathlib.Path`
+            If a `str`, it is interpreted as a fontconfig pattern parsed by
+            `.FontProperties`.  If a `pathlib.Path`, it is interpreted as the
+            absolute path to a font file.
         """
-        if is_string_like(fp):
-            fp = FontProperties(fp)
-        self._fontproperties = fp.copy()
-
-    def set_font_properties(self, fp):
-        'alias for set_fontproperties'
-        self.set_fontproperties(fp)
-
-docstring.interpd.update(Text=artist.kwdoc(Text))
-docstring.dedent_interpd(Text.__init__)
-
+        self._fontproperties = FontProperties._from_any(fp).copy()
+        self.stale = True
 
-class TextWithDash(Text):
-    """
-    This is basically a :class:`~matplotlib.text.Text` with a dash
-    (drawn with a :class:`~matplotlib.lines.Line2D`) before/after
-    it. It is intended to be a drop-in replacement for
-    :class:`~matplotlib.text.Text`, and should behave identically to
-    it when *dashlength* = 0.0.
-
-    The dash always comes between the point specified by
-    :meth:`~matplotlib.text.Text.set_position` and the text. When a
-    dash exists, the text alignment arguments (*horizontalalignment*,
-    *verticalalignment*) are ignored.
-
-    *dashlength* is the length of the dash in canvas units.
-    (default = 0.0).
-
-    *dashdirection* is one of 0 or 1, where 0 draws the dash after the
-    text and 1 before.  (default = 0).
-
-    *dashrotation* specifies the rotation of the dash, and should
-    generally stay *None*. In this case
-    :meth:`~matplotlib.text.TextWithDash.get_dashrotation` returns
-    :meth:`~matplotlib.text.Text.get_rotation`.  (i.e., the dash takes
-    its rotation from the text's rotation). Because the text center is
-    projected onto the dash, major deviations in the rotation cause
-    what may be considered visually unappealing results.
-    (default = *None*)
-
-    *dashpad* is a padding length to add (or subtract) space
-    between the text and the dash, in canvas units.
-    (default = 3)
-
-    *dashpush* "pushes" the dash and text away from the point
-    specified by :meth:`~matplotlib.text.Text.set_position` by the
-    amount in canvas units.  (default = 0)
-
-    .. note::
-
-        The alignment of the two objects is based on the bounding box
-        of the :class:`~matplotlib.text.Text`, as obtained by
-        :meth:`~matplotlib.artist.Artist.get_window_extent`.  This, in
-        turn, appears to depend on the font metrics as given by the
-        rendering backend. Hence the quality of the "centering" of the
-        label text with respect to the dash varies depending on the
-        backend used.
-
-    .. note::
-
-        I'm not sure that I got the
-        :meth:`~matplotlib.text.TextWithDash.get_window_extent` right,
-        or whether that's sufficient for providing the object bounding
-        box.
-
-    """
-    __name__ = 'textwithdash'
-
-    def __str__(self):
-        return "TextWithDash(%g,%g,%s)" % (self._x, self._y, repr(self._text))
-
-    def __init__(self,
-                 x=0, y=0, text='',
-                 color=None,          # defaults to rc params
-                 verticalalignment='center',
-                 horizontalalignment='center',
-                 multialignment=None,
-                 fontproperties=None,  # defaults to FontProperties()
-                 rotation=None,
-                 linespacing=None,
-                 dashlength=0.0,
-                 dashdirection=0,
-                 dashrotation=None,
-                 dashpad=3,
-                 dashpush=0,
-                 ):
-
-        Text.__init__(self, x=x, y=y, text=text, color=color,
-                      verticalalignment=verticalalignment,
-                      horizontalalignment=horizontalalignment,
-                      multialignment=multialignment,
-                      fontproperties=fontproperties,
-                      rotation=rotation,
-                      linespacing=linespacing)
-
-        # The position (x,y) values for text and dashline
-        # are bogus as given in the instantiation; they will
-        # be set correctly by update_coords() in draw()
-
-        self.dashline = Line2D(xdata=(x, x),
-                               ydata=(y, y),
-                               color='k',
-                               linestyle='-')
-
-        self._dashx = float(x)
-        self._dashy = float(y)
-        self._dashlength = dashlength
-        self._dashdirection = dashdirection
-        self._dashrotation = dashrotation
-        self._dashpad = dashpad
-        self._dashpush = dashpush
-
-        #self.set_bbox(dict(pad=0))
-
-    def get_position(self):
-        "Return the position of the text as a tuple (*x*, *y*)"
-        x = float(self.convert_xunits(self._dashx))
-        y = float(self.convert_yunits(self._dashy))
-        return x, y
-
-    def get_prop_tup(self):
-        """
-        Return a hashable tuple of properties.
-
-        Not intended to be human readable, but useful for backends who
-        want to cache derived information about text (e.g., layouts) and
-        need to know if the text has changed.
-        """
-        props = [p for p in Text.get_prop_tup(self)]
-        props.extend([self._x, self._y, self._dashlength,
-                      self._dashdirection, self._dashrotation, self._dashpad,
-                      self._dashpush])
-        return tuple(props)
-
-    def draw(self, renderer):
+    @_docstring.kwarg_doc("bool, default: :rc:`text.usetex`")
+    def set_usetex(self, usetex):
         """
-        Draw the :class:`TextWithDash` object to the given *renderer*.
+        Parameters
+        ----------
+        usetex : bool or None
+            Whether to render using TeX, ``None`` means to use
+            :rc:`text.usetex`.
         """
-        self.update_coords(renderer)
-        Text.draw(self, renderer)
-        if self.get_dashlength() > 0.0:
-            self.dashline.draw(renderer)
+        self._usetex = bool(mpl._val_or_rc(usetex, 'text.usetex'))
+        self.stale = True
 
-    def update_coords(self, renderer):
-        """
-        Computes the actual *x*, *y* coordinates for text based on the
-        input *x*, *y* and the *dashlength*. Since the rotation is
-        with respect to the actual canvas's coordinates we need to map
-        back and forth.
-        """
-        dashx, dashy = self.get_position()
-        dashlength = self.get_dashlength()
-        # Shortcircuit this process if we don't have a dash
-        if dashlength == 0.0:
-            self._x, self._y = dashx, dashy
-            return
+    def get_usetex(self):
+        """Return whether this `Text` object uses TeX for rendering."""
+        return self._usetex
 
-        dashrotation = self.get_dashrotation()
-        dashdirection = self.get_dashdirection()
-        dashpad = self.get_dashpad()
-        dashpush = self.get_dashpush()
-
-        angle = get_rotation(dashrotation)
-        theta = np.pi * (angle / 180.0 + dashdirection - 1)
-        cos_theta, sin_theta = np.cos(theta), np.sin(theta)
-
-        transform = self.get_transform()
-
-        # Compute the dash end points
-        # The 'c' prefix is for canvas coordinates
-        cxy = transform.transform_point((dashx, dashy))
-        cd = np.array([cos_theta, sin_theta])
-        c1 = cxy + dashpush * cd
-        c2 = cxy + (dashpush + dashlength) * cd
-
-        inverse = transform.inverted()
-        (x1, y1) = inverse.transform_point(tuple(c1))
-        (x2, y2) = inverse.transform_point(tuple(c2))
-        self.dashline.set_data((x1, x2), (y1, y2))
-
-        # We now need to extend this vector out to
-        # the center of the text area.
-        # The basic problem here is that we're "rotating"
-        # two separate objects but want it to appear as
-        # if they're rotated together.
-        # This is made non-trivial because of the
-        # interaction between text rotation and alignment -
-        # text alignment is based on the bbox after rotation.
-        # We reset/force both alignments to 'center'
-        # so we can do something relatively reasonable.
-        # There's probably a better way to do this by
-        # embedding all this in the object's transformations,
-        # but I don't grok the transformation stuff
-        # well enough yet.
-        we = Text.get_window_extent(self, renderer=renderer)
-        w, h = we.width, we.height
-        # Watch for zeros
-        if sin_theta == 0.0:
-            dx = w
-            dy = 0.0
-        elif cos_theta == 0.0:
-            dx = 0.0
-            dy = h
-        else:
-            tan_theta = sin_theta / cos_theta
-            dx = w
-            dy = w * tan_theta
-            if dy > h or dy < -h:
-                dy = h
-                dx = h / tan_theta
-        cwd = np.array([dx, dy]) / 2
-        cwd *= 1 + dashpad / np.sqrt(np.dot(cwd, cwd))
-        cw = c2 + (dashdirection * 2 - 1) * cwd
-
-        newx, newy = inverse.transform_point(tuple(cw))
-        self._x, self._y = newx, newy
-
-        # Now set the window extent
-        # I'm not at all sure this is the right way to do this.
-        we = Text.get_window_extent(self, renderer=renderer)
-        self._twd_window_extent = we.frozen()
-        self._twd_window_extent.update_from_data_xy(np.array([c1]), False)
-
-        # Finally, make text align center
-        Text.set_horizontalalignment(self, 'center')
-        Text.set_verticalalignment(self, 'center')
-
-    def get_window_extent(self, renderer=None):
-        '''
-        Return a :class:`~matplotlib.transforms.Bbox` object bounding
-        the text, in display units.
-
-        In addition to being used internally, this is useful for
-        specifying clickable regions in a png file on a web page.
-
-        *renderer* defaults to the _renderer attribute of the text
-        object.  This is not assigned until the first execution of
-        :meth:`draw`, so you must use this kwarg if you want
-        to call :meth:`get_window_extent` prior to the first
-        :meth:`draw`.  For getting web page regions, it is
-        simpler to call the method after saving the figure.
-        '''
-        self.update_coords(renderer)
-        if self.get_dashlength() == 0.0:
-            return Text.get_window_extent(self, renderer=renderer)
-        else:
-            return self._twd_window_extent
-
-    def get_dashlength(self):
-        """
-        Get the length of the dash.
+    def set_parse_math(self, parse_math):
         """
-        return self._dashlength
+        Override switch to disable any mathtext parsing for this `Text`.
 
-    def set_dashlength(self, dl):
+        Parameters
+        ----------
+        parse_math : bool
+            If False, this `Text` will never use mathtext.  If True, mathtext
+            will be used if there is an even number of unescaped dollar signs.
         """
-        Set the length of the dash.
+        self._parse_math = bool(parse_math)
 
-        ACCEPTS: float (canvas units)
-        """
-        self._dashlength = dl
+    def get_parse_math(self):
+        """Return whether mathtext parsing is considered for this `Text`."""
+        return self._parse_math
 
-    def get_dashdirection(self):
-        """
-        Get the direction dash.  1 is before the text and 0 is after.
-        """
-        return self._dashdirection
-
-    def set_dashdirection(self, dd):
-        """
-        Set the direction of the dash following the text.
-        1 is before the text and 0 is after. The default
-        is 0, which is what you'd want for the typical
-        case of ticks below and on the left of the figure.
-
-        ACCEPTS: int (1 is before, 0 is after)
-        """
-        self._dashdirection = dd
-
-    def get_dashrotation(self):
-        """
-        Get the rotation of the dash in degrees.
-        """
-        if self._dashrotation is None:
-            return self.get_rotation()
-        else:
-            return self._dashrotation
-
-    def set_dashrotation(self, dr):
-        """
-        Set the rotation of the dash, in degrees
-
-        ACCEPTS: float (degrees)
-        """
-        self._dashrotation = dr
-
-    def get_dashpad(self):
-        """
-        Get the extra spacing between the dash and the text, in canvas units.
+    def set_fontname(self, fontname):
         """
-        return self._dashpad
+        Alias for `set_fontfamily`.
 
-    def set_dashpad(self, dp):
-        """
-        Set the "pad" of the TextWithDash, which is the extra spacing
-        between the dash and the text, in canvas units.
+        One-way alias only: the getter differs.
 
-        ACCEPTS: float (canvas units)
-        """
-        self._dashpad = dp
+        Parameters
+        ----------
+        fontname : {FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', \
+'monospace'}
 
-    def get_dashpush(self):
-        """
-        Get the extra spacing between the dash and the specified text
-        position, in canvas units.
-        """
-        return self._dashpush
+        See Also
+        --------
+        .font_manager.FontProperties.set_family
 
-    def set_dashpush(self, dp):
         """
-        Set the "push" of the TextWithDash, which
-        is the extra spacing between the beginning
-        of the dash and the specified position.
+        self.set_fontfamily(fontname)
 
-        ACCEPTS: float (canvas units)
+    def _ha_for_angle(self, angle):
         """
-        self._dashpush = dp
-
-    def set_position(self, xy):
-        """
-        Set the (*x*, *y*) position of the :class:`TextWithDash`.
-
-        ACCEPTS: (x, y)
-        """
-        self.set_x(xy[0])
-        self.set_y(xy[1])
-
-    def set_x(self, x):
+        Determines horizontal alignment ('ha') for rotation_mode "xtick" based on
+        the angle of rotation in degrees and the vertical alignment.
         """
-        Set the *x* position of the :class:`TextWithDash`.
+        anchor_at_bottom = self.get_verticalalignment() == 'bottom'
+        if (angle <= 10 or 85 <= angle <= 95 or 350 <= angle or
+                170 <= angle <= 190 or 265 <= angle <= 275):
+            return 'center'
+        elif 10 < angle < 85 or 190 < angle < 265:
+            return 'left' if anchor_at_bottom else 'right'
+        return 'right' if anchor_at_bottom else 'left'
 
-        ACCEPTS: float
+    def _va_for_angle(self, angle):
         """
-        self._dashx = float(x)
-
-    def set_y(self, y):
+        Determines vertical alignment ('va') for rotation_mode "ytick" based on
+        the angle of rotation in degrees and the horizontal alignment.
         """
-        Set the *y* position of the :class:`TextWithDash`.
+        anchor_at_left = self.get_horizontalalignment() == 'left'
+        if (angle <= 10 or 350 <= angle or 170 <= angle <= 190
+                or 80 <= angle <= 100 or 260 <= angle <= 280):
+            return 'center'
+        elif 190 < angle < 260 or 10 < angle < 80:
+            return 'baseline' if anchor_at_left else 'top'
+        return 'top' if anchor_at_left else 'baseline'
 
-        ACCEPTS: float
-        """
-        self._dashy = float(y)
 
-    def set_transform(self, t):
-        """
-        Set the :class:`matplotlib.transforms.Transform` instance used
-        by this artist.
+class OffsetFrom:
+    """Callable helper class for working with `Annotation`."""
 
-        ACCEPTS: a :class:`matplotlib.transforms.Transform` instance
+    def __init__(self, artist, ref_coord, unit="points"):
         """
-        Text.set_transform(self, t)
-        self.dashline.set_transform(t)
+        Parameters
+        ----------
+        artist : `~matplotlib.artist.Artist` or `.BboxBase` or `.Transform`
+            The object to compute the offset from.
 
-    def get_figure(self):
-        'return the figure instance the artist belongs to'
-        return self.figure
+        ref_coord : (float, float)
+            If *artist* is an `.Artist` or `.BboxBase`, this values is
+            the location to of the offset origin in fractions of the
+            *artist* bounding box.
 
-    def set_figure(self, fig):
-        """
-        Set the figure instance the artist belong to.
+            If *artist* is a transform, the offset origin is the
+            transform applied to this value.
 
-        ACCEPTS: a :class:`matplotlib.figure.Figure` instance
+        unit : {'points, 'pixels'}, default: 'points'
+            The screen units to use (pixels or points) for the offset input.
         """
-        Text.set_figure(self, fig)
-        self.dashline.set_figure(fig)
-
-docstring.interpd.update(TextWithDash=artist.kwdoc(TextWithDash))
-
-
-class OffsetFrom(object):
-    def __init__(self, artist, ref_coord, unit="points"):
         self._artist = artist
-        self._ref_coord = ref_coord
+        x, y = ref_coord  # Make copy when ref_coord is an array (and check the shape).
+        self._ref_coord = x, y
         self.set_unit(unit)
 
     def set_unit(self, unit):
-        assert unit in ["points", "pixels"]
+        """
+        Set the unit for input to the transform used by ``__call__``.
+
+        Parameters
+        ----------
+        unit : {'points', 'pixels'}
+        """
+        _api.check_in_list(["points", "pixels"], unit=unit)
         self._unit = unit
 
     def get_unit(self):
+        """Return the unit for input to the transform used by ``__call__``."""
         return self._unit
 
-    def _get_scale(self, renderer):
-        unit = self.get_unit()
-        if unit == "pixels":
-            return 1.
-        else:
-            return renderer.points_to_pixels(1.)
-
     def __call__(self, renderer):
+        """
+        Return the offset transform.
+
+        Parameters
+        ----------
+        renderer : `RendererBase`
+            The renderer to use to compute the offset
+
+        Returns
+        -------
+        `Transform`
+            Maps (x, y) in pixel or point units to screen units
+            relative to the given artist.
+        """
         if isinstance(self._artist, Artist):
             bbox = self._artist.get_window_extent(renderer)
-            l, b, w, h = bbox.bounds
             xf, yf = self._ref_coord
-            x, y = l + w * xf, b + h * yf
+            x = bbox.x0 + bbox.width * xf
+            y = bbox.y0 + bbox.height * yf
         elif isinstance(self._artist, BboxBase):
-            l, b, w, h = self._artist.bounds
+            bbox = self._artist
             xf, yf = self._ref_coord
-            x, y = l + w * xf, b + h * yf
+            x = bbox.x0 + bbox.width * xf
+            y = bbox.y0 + bbox.height * yf
         elif isinstance(self._artist, Transform):
-            x, y = self._artist.transform_point(self._ref_coord)
+            x, y = self._artist.transform(self._ref_coord)
         else:
-            raise RuntimeError("unknown type")
-
-        sc = self._get_scale(renderer)
-        tr = Affine2D().scale(sc, sc).translate(x, y)
+            _api.check_isinstance((Artist, BboxBase, Transform), artist=self._artist)
+        scale = 1 if self._unit == "pixels" else renderer.points_to_pixels(1)
+        return Affine2D().scale(scale).translate(x, y)
 
-        return tr
 
-
-class _AnnotationBase(object):
+class _AnnotationBase:
     def __init__(self,
                  xy,
                  xycoords='data',
                  annotation_clip=None):
 
-        self.xy = xy
+        x, y = xy  # Make copy when xy is an array (and check the shape).
+        self.xy = x, y
         self.xycoords = xycoords
         self.set_annotation_clip(annotation_clip)
 
         self._draggable = None
 
-    def _get_xy(self, renderer, x, y, s):
-        if isinstance(s, tuple):
-            s1, s2 = s
-        else:
-            s1, s2 = s, s
-
-        if s1 == 'data':
+    def _get_xy(self, renderer, xy, coords):
+        x, y = xy
+        xcoord, ycoord = coords if isinstance(coords, tuple) else (coords, coords)
+        if xcoord == 'data':
             x = float(self.convert_xunits(x))
-        if s2 == 'data':
+        if ycoord == 'data':
             y = float(self.convert_yunits(y))
+        return self._get_xy_transform(renderer, coords).transform((x, y))
 
-        tr = self._get_xy_transform(renderer, s)
-        x1, y1 = tr.transform_point((x, y))
-        return x1, y1
+    def _get_xy_transform(self, renderer, coords):
 
-    def _get_xy_transform(self, renderer, s):
-
-        if isinstance(s, tuple):
-            s1, s2 = s
+        if isinstance(coords, tuple):
+            xcoord, ycoord = coords
             from matplotlib.transforms import blended_transform_factory
-            tr1 = self._get_xy_transform(renderer, s1)
-            tr2 = self._get_xy_transform(renderer, s2)
-            tr = blended_transform_factory(tr1, tr2)
-            return tr
-
-        if six.callable(s):
-            tr = s(renderer)
+            tr1 = self._get_xy_transform(renderer, xcoord)
+            tr2 = self._get_xy_transform(renderer, ycoord)
+            return blended_transform_factory(tr1, tr2)
+        elif callable(coords):
+            tr = coords(renderer)
             if isinstance(tr, BboxBase):
                 return BboxTransformTo(tr)
             elif isinstance(tr, Transform):
                 return tr
             else:
-                raise RuntimeError("unknown return type ...")
-        if isinstance(s, Artist):
-            bbox = s.get_window_extent(renderer)
+                raise TypeError(
+                    f"xycoords callable must return a BboxBase or Transform, not a "
+                    f"{type(tr).__name__}")
+        elif isinstance(coords, Artist):
+            bbox = coords.get_window_extent(renderer)
             return BboxTransformTo(bbox)
-        elif isinstance(s, BboxBase):
-            return BboxTransformTo(s)
-        elif isinstance(s, Transform):
-            return s
-        elif not is_string_like(s):
-            raise RuntimeError("unknown coordinate type : %s" % (s,))
-
-        if s == 'data':
+        elif isinstance(coords, BboxBase):
+            return BboxTransformTo(coords)
+        elif isinstance(coords, Transform):
+            return coords
+        elif not isinstance(coords, str):
+            raise TypeError(
+                f"'xycoords' must be an instance of str, tuple[str, str], Artist, "
+                f"Transform, or Callable, not a {type(coords).__name__}")
+
+        if coords == 'data':
             return self.axes.transData
-        elif s == 'polar':
+        elif coords == 'polar':
             from matplotlib.projections import PolarAxes
-            tr = PolarAxes.PolarTransform()
-            trans = tr + self.axes.transData
-            return trans
+            return PolarAxes.PolarTransform() + self.axes.transData
 
-        s_ = s.split()
-        if len(s_) != 2:
-            raise ValueError("%s is not a recognized coordinate" % s)
+        try:
+            bbox_name, unit = coords.split()
+        except ValueError:  # i.e. len(coords.split()) != 2.
+            raise ValueError(f"{coords!r} is not a valid coordinate") from None
 
         bbox0, xy0 = None, None
 
-        bbox_name, unit = s_
         # if unit is offset-like
         if bbox_name == "figure":
-            bbox0 = self.figure.bbox
+            bbox0 = self.get_figure(root=False).figbbox
+        elif bbox_name == "subfigure":
+            bbox0 = self.get_figure(root=False).bbox
         elif bbox_name == "axes":
             bbox0 = self.axes.bbox
-        # elif bbox_name == "bbox":
-        #     if bbox is None:
-        #         raise RuntimeError("bbox is specified as a coordinate but "
-        #                            "never set")
-        #     bbox0 = self._get_bbox(renderer, bbox)
 
+        # reference x, y in display coordinate
         if bbox0 is not None:
-            xy0 = bbox0.bounds[:2]
+            xy0 = bbox0.p0
         elif bbox_name == "offset":
-            xy0 = self._get_ref_xy(renderer)
-
-        if xy0 is not None:
-            # reference x, y in display coordinate
-            ref_x, ref_y = xy0
-            from matplotlib.transforms import Affine2D
-            if unit == "points":
-                # dots per points
-                dpp = self.figure.get_dpi() / 72.
-                tr = Affine2D().scale(dpp, dpp)
-            elif unit == "pixels":
-                tr = Affine2D()
-            elif unit == "fontsize":
-                fontsize = self.get_size()
-                dpp = fontsize * self.figure.get_dpi() / 72.
-                tr = Affine2D().scale(dpp,
-                                      dpp)
-            elif unit == "fraction":
-                w, h = bbox0.bounds[2:]
-                tr = Affine2D().scale(w, h)
-            else:
-                raise ValueError("%s is not a recognized coordinate" % s)
-
-            return tr.translate(ref_x, ref_y)
-
+            xy0 = self._get_position_xy(renderer)
         else:
-            raise ValueError("%s is not a recognized coordinate" % s)
-
-    def _get_ref_xy(self, renderer):
-        """
-        return x, y (in display coordinate) that is to be used for a reference
-        of any offset coordinate
-        """
-
-        if isinstance(self.xycoords, tuple):
-            s1, s2 = self.xycoords
-            if ((is_string_like(s1) and s1.split()[0] == "offset") or
-                  (is_string_like(s2) and s2.split()[0] == "offset")):
-                raise ValueError("xycoords should not be an offset coordinate")
-            x, y = self.xy
-            x1, y1 = self._get_xy(renderer, x, y, s1)
-            x2, y2 = self._get_xy(renderer, x, y, s2)
-            return x1, y2
-        elif (is_string_like(self.xycoords) and
-              self.xycoords.split()[0] == "offset"):
-            raise ValueError("xycoords should not be an offset coordinate")
+            raise ValueError(f"{coords!r} is not a valid coordinate")
+
+        if unit == "points":
+            tr = Affine2D().scale(
+                self.get_figure(root=True).dpi / 72)  # dpi/72 dots per point
+        elif unit == "pixels":
+            tr = Affine2D()
+        elif unit == "fontsize":
+            tr = Affine2D().scale(
+                self.get_size() * self.get_figure(root=True).dpi / 72)
+        elif unit == "fraction":
+            tr = Affine2D().scale(*bbox0.size)
         else:
-            x, y = self.xy
-            return self._get_xy(renderer, x, y, self.xycoords)
-        #raise RuntimeError("must be defined by the derived class")
-
-    # def _get_bbox(self, renderer):
-    #     if hasattr(bbox, "bounds"):
-    #         return bbox
-    #     elif hasattr(bbox, "get_window_extent"):
-    #         bbox = bbox.get_window_extent()
-    #         return bbox
-    #     else:
-    #         raise ValueError("A bbox instance is expected but got %s" %
-    #                          str(bbox))
+            raise ValueError(f"{unit!r} is not a recognized unit")
+
+        return tr.translate(*xy0)
 
     def set_annotation_clip(self, b):
         """
-        set *annotation_clip* attribute.
+        Set the annotation's clipping behavior.
 
-          * True: the annotation will only be drawn when self.xy is inside
-                  the axes.
-          * False: the annotation will always be drawn regardless of its
-                   position.
-          * None: the self.xy will be checked only if *xycoords* is "data"
+        Parameters
+        ----------
+        b : bool or None
+            - True: The annotation will be clipped when ``self.xy`` is
+              outside the Axes.
+            - False: The annotation will always be drawn.
+            - None: The annotation will be clipped when ``self.xy`` is
+              outside the Axes and ``self.xycoords == "data"``.
         """
         self._annotation_clip = b
 
     def get_annotation_clip(self):
         """
-        Return *annotation_clip* attribute.
-        See :meth:`set_annotation_clip` for the meaning of return values.
+        Return the annotation's clipping behavior.
+
+        See `set_annotation_clip` for the meaning of return values.
         """
         return self._annotation_clip
 
     def _get_position_xy(self, renderer):
-        "Return the pixel position of the the annotated point."
-        x, y = self.xy
-        return self._get_xy(renderer, x, y, self.xycoords)
-
-    def _check_xy(self, renderer, xy_pixel):
-        """
-        given the xy pixel coordinate, check if the annotation need to
-        be drawn.
-        """
+        """Return the pixel position of the annotated point."""
+        return self._get_xy(renderer, self.xy, self.xycoords)
 
+    def _check_xy(self, renderer=None):
+        """Check whether the annotation at *xy_pixel* should be drawn."""
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
         b = self.get_annotation_clip()
-
         if b or (b is None and self.xycoords == "data"):
-            # check if self.xy is inside the axes.
-            if not self.axes.contains_point(xy_pixel):
-                return False
-
+            # check if self.xy is inside the Axes.
+            xy_pixel = self._get_position_xy(renderer)
+            return self.axes.contains_point(xy_pixel)
         return True
 
     def draggable(self, state=None, use_blit=False):
         """
-        Set the draggable state -- if state is
+        Set whether the annotation is draggable with the mouse.
 
-          * None : toggle the current state
+        Parameters
+        ----------
+        state : bool or None
+            - True or False: set the draggability.
+            - None: toggle the draggability.
+        use_blit : bool, default: False
+            Use blitting for faster image composition. For details see
+            :ref:`func-animation`.
 
-          * True : turn draggable on
-
-          * False : turn draggable off
-
-        If draggable is on, you can drag the annotation on the canvas with
-        the mouse.  The DraggableAnnotation helper instance is returned if
-        draggable is on.
+        Returns
+        -------
+        DraggableAnnotation or None
+            If the annotation is draggable, the corresponding
+            `.DraggableAnnotation` helper is returned.
         """
         from matplotlib.offsetbox import DraggableAnnotation
         is_draggable = self._draggable is not None
@@ -1637,49 +1667,26 @@ def draggable(self, state=None, use_blit=False):
 
         return self._draggable
 
-    @property
-    @cbook.deprecated('1.4', message='Use `anncoords` instead',
-                      name='textcoords', alternative='anncoords')
-    def textcoords(self):
-        return self.anncoords
-
-    @textcoords.setter
-    @cbook.deprecated('1.4', message='Use `anncoords` instead',
-                      name='textcoords', alternative='anncoords')
-    def textcoords(self, val):
-        self.anncoords = val
-
-    @property
-    @cbook.deprecated('1.4', message='Use `xyann` instead',
-                      name='xytext', alternative='xyann')
-    def xytext(self):
-        return self.xyann
-
-    @xytext.setter
-    @cbook.deprecated('1.4', message='Use `xyann` instead',
-                      name='xytext', alternative='xyann')
-    def xytext(self, val):
-        self.xyann = val
-
 
 class Annotation(Text, _AnnotationBase):
     """
-    A :class:`~matplotlib.text.Text` class to make annotating things
-    in the figure, such as :class:`~matplotlib.figure.Figure`,
-    :class:`~matplotlib.axes.Axes`,
-    :class:`~matplotlib.patches.Rectangle`, etc., easier.
-
-    Annotate the *x*, *y* point *xy* with text *s* at *x*, *y*
-    location *xytext*.  (If *xytext* = *None*, defaults to *xy*,
-    and if *textcoords* = *None*, defaults to *xycoords*).
+    An `.Annotation` is a `.Text` that can refer to a specific position *xy*.
+    Optionally an arrow pointing from the text to *xy* can be drawn.
+
+    Attributes
+    ----------
+    xy
+        The annotated position.
+    xycoords
+        The coordinate system for *xy*.
+    arrow_patch
+        A `.FancyArrowPatch` to point from *xytext* to *xy*.
     """
+
     def __str__(self):
-        return "Annotation(%g,%g,%s)" % (self.xy[0],
-                                         self.xy[1],
-                                         repr(self._text))
+        return f"Annotation({self.xy[0]:g}, {self.xy[1]:g}, {self._text!r})"
 
-    @docstring.dedent_interpd
-    def __init__(self, s, xy,
+    def __init__(self, text, xy,
                  xytext=None,
                  xycoords='data',
                  textcoords=None,
@@ -1687,102 +1694,170 @@ def __init__(self, s, xy,
                  annotation_clip=None,
                  **kwargs):
         """
-        *arrowprops*, if not *None*, is a dictionary of line properties
-        (see :class:`matplotlib.lines.Line2D`) for the arrow that connects
-        annotation to the point.
-
-        If the dictionary has a key *arrowstyle*, a
-        `~matplotlib.patches.FancyArrowPatch` instance is created with
-        the given dictionary and is drawn. Otherwise, a
-        `~matplotlib.patches.YAArrow` patch instance is created and
-        drawn. Valid keys for `~matplotlib.patches.YAArrow` are:
-
-
-        =========   ===========================================================
-        Key         Description
-        =========   ===========================================================
-        width       the width of the arrow in points
-        frac        the fraction of the arrow length occupied by the head
-        headwidth   the width of the base of the arrow head in points
-        shrink      oftentimes it is convenient to have the arrowtip
-                    and base a bit away from the text and point being
-                    annotated.  If *d* is the distance between the text and
-                    annotated point, shrink will shorten the arrow so the tip
-                    and base are shink percent of the distance *d* away from
-                    the endpoints.  i.e., ``shrink=0.05 is 5%%``
-        ?           any key for :class:`matplotlib.patches.polygon`
-        =========   ===========================================================
-
-
-        Valid keys for `~matplotlib.patches.FancyArrowPatch` are:
-
-
-        ===============  ======================================================
-        Key              Description
-        ===============  ======================================================
-        arrowstyle       the arrow style
-        connectionstyle  the connection style
-        relpos           default is (0.5, 0.5)
-        patchA           default is bounding box of the text
-        patchB           default is None
-        shrinkA          default is 2 points
-        shrinkB          default is 2 points
-        mutation_scale   default is text size (in points)
-        mutation_aspect  default is 1.
-        ?                any key for :class:`matplotlib.patches.PathPatch`
-        ===============  ======================================================
-
-
-        *xycoords* and *textcoords* are strings that indicate the
-        coordinates of *xy* and *xytext*, and may be one of the
-        following values:
-
-        =================   ===================================================
-        Property            Description
-        =================   ===================================================
-        'figure points'     points from the lower left corner of the figure
-        'figure pixels'     pixels from the lower left corner of the figure
-        'figure fraction'   0,0 is lower left of figure and 1,1 is upper right
-        'axes points'       points from lower left corner of axes
-        'axes pixels'       pixels from lower left corner of axes
-        'axes fraction'     0,0 is lower left of axes and 1,1 is upper right
-        'data'              use the coordinate system of the object being
-                            annotated (default)
-        'offset points'     Specify an offset (in points) from the *xy* value
-
-        'polar'             you can specify *theta*, *r* for the annotation,
-                            even in cartesian plots.  Note that if you
-                            are using a polar axes, you do not need
-                            to specify polar for the coordinate
-                            system since that is the native "data" coordinate
-                            system.
-        =================   ===================================================
-
-        If a 'points' or 'pixels' option is specified, values will be
-        added to the bottom-left and if negative, values will be
-        subtracted from the top-right.  e.g.::
-
-          # 10 points to the right of the left border of the axes and
-          # 5 points below the top border
-          xy=(10,-5), xycoords='axes points'
-
-        You may use an instance of
-        :class:`~matplotlib.transforms.Transform` or
-        :class:`~matplotlib.artist.Artist`. See
-        :ref:`plotting-guide-annotation` for more details.
-
-        The *annotation_clip* attribute controls the visibility of the
-        annotation when it goes outside the axes area. If `True`, the
-        annotation will only be drawn when the *xy* is inside the
-        axes. If `False`, the annotation will always be drawn
-        regardless of its position.  The default is `None`, which
-        behave as `True` only if *xycoords* is "data".
-
-        Additional kwargs are `~matplotlib.text.Text` properties:
-
-        %(Text)s
-        """
+        Annotate the point *xy* with text *text*.
+
+        In the simplest form, the text is placed at *xy*.
+
+        Optionally, the text can be displayed in another position *xytext*.
+        An arrow pointing from the text to the annotated point *xy* can then
+        be added by defining *arrowprops*.
+
+        Parameters
+        ----------
+        text : str
+            The text of the annotation.
 
+        xy : (float, float)
+            The point *(x, y)* to annotate. The coordinate system is determined
+            by *xycoords*.
+
+        xytext : (float, float), default: *xy*
+            The position *(x, y)* to place the text at. The coordinate system
+            is determined by *textcoords*.
+
+        xycoords : single or two-tuple of str or `.Artist` or `.Transform` or \
+callable, default: 'data'
+
+            The coordinate system that *xy* is given in. The following types
+            of values are supported:
+
+            - One of the following strings:
+
+              ==================== ============================================
+              Value                Description
+              ==================== ============================================
+              'figure points'      Points from the lower left of the figure
+              'figure pixels'      Pixels from the lower left of the figure
+              'figure fraction'    Fraction of figure from lower left
+              'subfigure points'   Points from the lower left of the subfigure
+              'subfigure pixels'   Pixels from the lower left of the subfigure
+              'subfigure fraction' Fraction of subfigure from lower left
+              'axes points'        Points from lower left corner of the Axes
+              'axes pixels'        Pixels from lower left corner of the Axes
+              'axes fraction'      Fraction of Axes from lower left
+              'data'               Use the coordinate system of the object
+                                   being annotated (default)
+              'polar'              *(theta, r)* if not native 'data'
+                                   coordinates
+              ==================== ============================================
+
+              Note that 'subfigure pixels' and 'figure pixels' are the same
+              for the parent figure, so users who want code that is usable in
+              a subfigure can use 'subfigure pixels'.
+
+            - An `.Artist`: *xy* is interpreted as a fraction of the artist's
+              `~matplotlib.transforms.Bbox`. E.g. *(0, 0)* would be the lower
+              left corner of the bounding box and *(0.5, 1)* would be the
+              center top of the bounding box.
+
+            - A `.Transform` to transform *xy* to screen coordinates.
+
+            - A function with one of the following signatures::
+
+                def transform(renderer) -> Bbox
+                def transform(renderer) -> Transform
+
+              where *renderer* is a `.RendererBase` subclass.
+
+              The result of the function is interpreted like the `.Artist` and
+              `.Transform` cases above.
+
+            - A tuple *(xcoords, ycoords)* specifying separate coordinate
+              systems for *x* and *y*. *xcoords* and *ycoords* must each be
+              of one of the above described types.
+
+            See :ref:`plotting-guide-annotation` for more details.
+
+        textcoords : single or two-tuple of str or `.Artist` or `.Transform` \
+or callable, default: value of *xycoords*
+            The coordinate system that *xytext* is given in.
+
+            All *xycoords* values are valid as well as the following strings:
+
+            =================   =================================================
+            Value               Description
+            =================   =================================================
+            'offset points'     Offset, in points, from the *xy* value
+            'offset pixels'     Offset, in pixels, from the *xy* value
+            'offset fontsize'   Offset, relative to fontsize, from the *xy* value
+            =================   =================================================
+
+        arrowprops : dict, optional
+            The properties used to draw a `.FancyArrowPatch` arrow between the
+            positions *xy* and *xytext*.  Defaults to None, i.e. no arrow is
+            drawn.
+
+            For historical reasons there are two different ways to specify
+            arrows, "simple" and "fancy":
+
+            **Simple arrow:**
+
+            If *arrowprops* does not contain the key 'arrowstyle' the
+            allowed keys are:
+
+            ==========  =================================================
+            Key         Description
+            ==========  =================================================
+            width       The width of the arrow in points
+            headwidth   The width of the base of the arrow head in points
+            headlength  The length of the arrow head in points
+            shrink      Fraction of total length to shrink from both ends
+            ?           Any `.FancyArrowPatch` property
+            ==========  =================================================
+
+            The arrow is attached to the edge of the text box, the exact
+            position (corners or centers) depending on where it's pointing to.
+
+            **Fancy arrow:**
+
+            This is used if 'arrowstyle' is provided in the *arrowprops*.
+
+            Valid keys are the following `.FancyArrowPatch` parameters:
+
+            ===============  ===================================
+            Key              Description
+            ===============  ===================================
+            arrowstyle       The arrow style
+            connectionstyle  The connection style
+            relpos           See below; default is (0.5, 0.5)
+            patchA           Default is bounding box of the text
+            patchB           Default is None
+            shrinkA          In points. Default is 2 points
+            shrinkB          In points. Default is 2 points
+            mutation_scale   Default is text size (in points)
+            mutation_aspect  Default is 1
+            ?                Any `.FancyArrowPatch` property
+            ===============  ===================================
+
+            The exact starting point position of the arrow is defined by
+            *relpos*. It's a tuple of relative coordinates of the text box,
+            where (0, 0) is the lower left corner and (1, 1) is the upper
+            right corner. Values <0 and >1 are supported and specify points
+            outside the text box. By default (0.5, 0.5), so the starting point
+            is centered in the text box.
+
+        annotation_clip : bool or None, default: None
+            Whether to clip (i.e. not draw) the annotation when the annotation
+            point *xy* is outside the Axes area.
+
+            - If *True*, the annotation will be clipped when *xy* is outside
+              the Axes.
+            - If *False*, the annotation will always be drawn.
+            - If *None*, the annotation will be clipped when *xy* is outside
+              the Axes and *xycoords* is 'data'.
+
+        **kwargs
+            Additional kwargs are passed to `.Text`.
+
+        Returns
+        -------
+        `.Annotation`
+
+        See Also
+        --------
+        :ref:`annotations`
+
+        """
         _AnnotationBase.__init__(self,
                                  xy,
                                  xycoords=xycoords,
@@ -1791,9 +1866,9 @@ def __init__(self, s, xy,
         if (xytext is None and
                 textcoords is not None and
                 textcoords != xycoords):
-            warnings.warn("You have used the `textcoords` kwarg, but not "
-                          "the `xytext` kwarg.  This can lead to surprising "
-                          "results.")
+            _api.warn_external("You have used the `textcoords` kwarg, but "
+                               "not the `xytext` kwarg.  This can lead to "
+                               "surprising results.")
 
         # clean up textcoords and assign default
         if textcoords is None:
@@ -1805,222 +1880,196 @@ def __init__(self, s, xy,
             xytext = self.xy
         x, y = xytext
 
-        Text.__init__(self, x, y, s, **kwargs)
-
         self.arrowprops = arrowprops
-
-        self.arrow = None
-
-        if arrowprops and "arrowstyle" in arrowprops:
-            arrowprops = self.arrowprops.copy()
-            self._arrow_relpos = arrowprops.pop("relpos", (0.5, 0.5))
-            self.arrow_patch = FancyArrowPatch((0, 0), (1, 1),
-                                               **arrowprops)
+        if arrowprops is not None:
+            arrowprops = arrowprops.copy()
+            if "arrowstyle" in arrowprops:
+                self._arrow_relpos = arrowprops.pop("relpos", (0.5, 0.5))
+            else:
+                # modified YAArrow API to be used with FancyArrowPatch
+                for key in ['width', 'headwidth', 'headlength', 'shrink']:
+                    arrowprops.pop(key, None)
+            self.arrow_patch = FancyArrowPatch((0, 0), (1, 1), **arrowprops)
         else:
             self.arrow_patch = None
 
-    def contains(self, event):
-        contains, tinfo = Text.contains(self, event)
-        if self.arrow is not None:
-            in_arrow, _ = self.arrow.contains(event)
-            contains = contains or in_arrow
-        # self.arrow_patch is currently not checked as this can be a line - J
+        # Must come last, as some kwargs may be propagated to arrow_patch.
+        Text.__init__(self, x, y, text, **kwargs)
 
+    def contains(self, mouseevent):
+        if self._different_canvas(mouseevent):
+            return False, {}
+        contains, tinfo = Text.contains(self, mouseevent)
+        if self.arrow_patch is not None:
+            in_patch, _ = self.arrow_patch.contains(mouseevent)
+            contains = contains or in_patch
         return contains, tinfo
 
+    @property
+    def xycoords(self):
+        return self._xycoords
+
+    @xycoords.setter
+    def xycoords(self, xycoords):
+        def is_offset(s):
+            return isinstance(s, str) and s.startswith("offset")
+
+        if (isinstance(xycoords, tuple) and any(map(is_offset, xycoords))
+                or is_offset(xycoords)):
+            raise ValueError("xycoords cannot be an offset coordinate")
+        self._xycoords = xycoords
+
     @property
     def xyann(self):
+        """
+        The text position.
+
+        See also *xytext* in `.Annotation`.
+        """
         return self.get_position()
 
     @xyann.setter
     def xyann(self, xytext):
         self.set_position(xytext)
 
-    @property
-    def anncoords(self):
+    def get_anncoords(self):
+        """
+        Return the coordinate system to use for `.Annotation.xyann`.
+
+        See also *xycoords* in `.Annotation`.
+        """
         return self._textcoords
 
-    @anncoords.setter
-    def anncoords(self, coords):
+    def set_anncoords(self, coords):
+        """
+        Set the coordinate system to use for `.Annotation.xyann`.
+
+        See also *xycoords* in `.Annotation`.
+        """
         self._textcoords = coords
 
-    def set_figure(self, fig):
+    anncoords = property(get_anncoords, set_anncoords, doc="""
+        The coordinate system to use for `.Annotation.xyann`.""")
 
-        if self.arrow is not None:
-            self.arrow.set_figure(fig)
+    def set_figure(self, fig):
+        # docstring inherited
         if self.arrow_patch is not None:
             self.arrow_patch.set_figure(fig)
         Artist.set_figure(self, fig)
 
     def update_positions(self, renderer):
-        """"Update the pixel positions of the annotated point and the
-        text.
         """
-        xy_pixel = self._get_position_xy(renderer)
-        self._update_position_xytext(renderer, xy_pixel)
-
-    def _update_position_xytext(self, renderer, xy_pixel):
-        """Update the pixel positions of the annotation text and the arrow
-        patch.
+        Update the pixel positions of the annotation text and the arrow patch.
         """
-        # generate transformation,
+        # generate transformation
         self.set_transform(self._get_xy_transform(renderer, self.anncoords))
 
-        ox0, oy0 = self._get_xy_display()
-        ox1, oy1 = xy_pixel
-
-        if self.arrowprops:
-            x0, y0 = xy_pixel
-            l, b, w, h = self.get_window_extent(renderer).bounds
-            r = l + w
-            t = b + h
-            xc = 0.5 * (l + r)
-            yc = 0.5 * (b + t)
-
-            d = self.arrowprops.copy()
-
-            # Use FancyArrowPatch if self.arrowprops has "arrowstyle" key.
-            # Otherwise, fallback to YAArrow.
-
-            #if d.has_key("arrowstyle"):
-            if self.arrow_patch:
-
-                # adjust the starting point of the arrow relative to
-                # the textbox.
-                # TODO : Rotation needs to be accounted.
-                relpos = self._arrow_relpos
-                bbox = self.get_window_extent(renderer)
-                ox0 = bbox.x0 + bbox.width * relpos[0]
-                oy0 = bbox.y0 + bbox.height * relpos[1]
-
-                # The arrow will be drawn from (ox0, oy0) to (ox1,
-                # oy1). It will be first clipped by patchA and patchB.
-                # Then it will be shrinked by shirnkA and shrinkB
-                # (in points). If patch A is not set, self.bbox_patch
-                # is used.
-
-                self.arrow_patch.set_positions((ox0, oy0), (ox1, oy1))
-                mutation_scale = d.pop("mutation_scale", self.get_size())
-                mutation_scale = renderer.points_to_pixels(mutation_scale)
-                self.arrow_patch.set_mutation_scale(mutation_scale)
-
-                if "patchA" in d:
-                    self.arrow_patch.set_patchA(d.pop("patchA"))
-                else:
-                    if self._bbox_patch:
-                        self.arrow_patch.set_patchA(self._bbox_patch)
-                    else:
-                        props = self._bbox
-                        if props is None:
-                            props = {}
-                        # don't want to alter the pad externally
-                        props = props.copy()
-                        pad = props.pop('pad', 4)
-                        pad = renderer.points_to_pixels(pad)
-                        if self.get_text().strip() == "":
-                            self.arrow_patch.set_patchA(None)
-                            return
-
-                        bbox = self.get_window_extent(renderer)
-                        l, b, w, h = bbox.bounds
-                        l -= pad / 2.
-                        b -= pad / 2.
-                        w += pad
-                        h += pad
-                        r = Rectangle(xy=(l, b),
-                                      width=w,
-                                      height=h,
-                                      )
-                        r.set_transform(mtransforms.IdentityTransform())
-                        r.set_clip_on(False)
-                        r.update(props)
-
-                        self.arrow_patch.set_patchA(r)
-
-            else:
-
-                # pick the x,y corner of the text bbox closest to point
-                # annotated
-                dsu = [(abs(val - x0), val) for val in (l, r, xc)]
-                dsu.sort()
-                _, x = dsu[0]
-
-                dsu = [(abs(val - y0), val) for val in (b, t, yc)]
-                dsu.sort()
-                _, y = dsu[0]
-
-                shrink = d.pop('shrink', 0.0)
-
-                theta = math.atan2(y - y0, x - x0)
-                r = np.hypot((y - y0), (x - x0))
-                dx = shrink * r * math.cos(theta)
-                dy = shrink * r * math.sin(theta)
-
-                width = d.pop('width', 4)
-                headwidth = d.pop('headwidth', 12)
-                frac = d.pop('frac', 0.1)
-
-                self.arrow = YAArrow(self.figure,
-                                     (x0 + dx, y0 + dy), (x - dx, y - dy),
-                                     width=width, headwidth=headwidth,
-                                     frac=frac,
-                                     **d)
-
-                self.arrow.set_clip_box(self.get_clip_box())
-
-    def update_bbox_position_size(self, renderer):
-        """
-        Update the location and the size of the bbox. This method
-        should be used when the position and size of the bbox needs to
-        be updated before actually drawing the bbox.
-        """
-
-        # For arrow_patch, use textbox as patchA by default.
-
-        if not isinstance(self.arrow_patch, FancyArrowPatch):
+        arrowprops = self.arrowprops
+        if arrowprops is None:
             return
 
-        if self._bbox_patch:
-            posx, posy = self._x, self._y
-
-            x_box, y_box, w_box, h_box = _get_textbox(self, renderer)
-            self._bbox_patch.set_bounds(0., 0., w_box, h_box)
-            theta = np.deg2rad(self.get_rotation())
-            tr = mtransforms.Affine2D().rotate(theta)
-            tr = tr.translate(posx + x_box, posy + y_box)
-            self._bbox_patch.set_transform(tr)
-            fontsize_in_pixel = renderer.points_to_pixels(self.get_size())
-            self._bbox_patch.set_mutation_scale(fontsize_in_pixel)
-
-    @allow_rasterization
+        bbox = Text.get_window_extent(self, renderer)
+
+        arrow_end = x1, y1 = self._get_position_xy(renderer)  # Annotated pos.
+
+        ms = arrowprops.get("mutation_scale", self.get_size())
+        self.arrow_patch.set_mutation_scale(ms)
+
+        if "arrowstyle" not in arrowprops:
+            # Approximately simulate the YAArrow.
+            shrink = arrowprops.get('shrink', 0.0)
+            width = arrowprops.get('width', 4)
+            headwidth = arrowprops.get('headwidth', 12)
+            headlength = arrowprops.get('headlength', 12)
+
+            # NB: ms is in pts
+            stylekw = dict(head_length=headlength / ms,
+                           head_width=headwidth / ms,
+                           tail_width=width / ms)
+
+            self.arrow_patch.set_arrowstyle('simple', **stylekw)
+
+            # using YAArrow style:
+            # pick the corner of the text bbox closest to annotated point.
+            xpos = [(bbox.x0, 0), ((bbox.x0 + bbox.x1) / 2, 0.5), (bbox.x1, 1)]
+            ypos = [(bbox.y0, 0), ((bbox.y0 + bbox.y1) / 2, 0.5), (bbox.y1, 1)]
+            x, relposx = min(xpos, key=lambda v: abs(v[0] - x1))
+            y, relposy = min(ypos, key=lambda v: abs(v[0] - y1))
+            self._arrow_relpos = (relposx, relposy)
+            r = np.hypot(y - y1, x - x1)
+            shrink_pts = shrink * r / renderer.points_to_pixels(1)
+            self.arrow_patch.shrinkA = self.arrow_patch.shrinkB = shrink_pts
+
+        # adjust the starting point of the arrow relative to the textbox.
+        # TODO : Rotation needs to be accounted.
+        arrow_begin = bbox.p0 + bbox.size * self._arrow_relpos
+        # The arrow is drawn from arrow_begin to arrow_end.  It will be first
+        # clipped by patchA and patchB.  Then it will be shrunk by shrinkA and
+        # shrinkB (in points).  If patchA is not set, self.bbox_patch is used.
+        self.arrow_patch.set_positions(arrow_begin, arrow_end)
+
+        if "patchA" in arrowprops:
+            patchA = arrowprops["patchA"]
+        elif self._bbox_patch:
+            patchA = self._bbox_patch
+        elif self.get_text() == "":
+            patchA = None
+        else:
+            pad = renderer.points_to_pixels(4)
+            patchA = Rectangle(
+                xy=(bbox.x0 - pad / 2, bbox.y0 - pad / 2),
+                width=bbox.width + pad, height=bbox.height + pad,
+                transform=IdentityTransform(), clip_on=False)
+        self.arrow_patch.set_patchA(patchA)
+
+    @artist.allow_rasterization
     def draw(self, renderer):
-        """
-        Draw the :class:`Annotation` object to the given *renderer*.
-        """
-
+        # docstring inherited
         if renderer is not None:
             self._renderer = renderer
-        if not self.get_visible():
+        if not self.get_visible() or not self._check_xy(renderer):
             return
+        # Update text positions before `Text.draw` would, so that the
+        # FancyArrowPatch is correctly positioned.
+        self.update_positions(renderer)
+        self.update_bbox_position_size(renderer)
+        if self.arrow_patch is not None:  # FancyArrowPatch
+            if (self.arrow_patch.get_figure(root=False) is None and
+                    (fig := self.get_figure(root=False)) is not None):
+                self.arrow_patch.set_figure(fig)
+            self.arrow_patch.draw(renderer)
+        # Draw text, including FancyBboxPatch, after FancyArrowPatch.
+        # Otherwise, a wedge arrowstyle can land partly on top of the Bbox.
+        Text.draw(self, renderer)
 
-        xy_pixel = self._get_position_xy(renderer)
-        if not self._check_xy(renderer, xy_pixel):
-            return
+    def get_window_extent(self, renderer=None):
+        # docstring inherited
+        # This block is the same as in Text.get_window_extent, but we need to
+        # set the renderer before calling update_positions().
+        if not self.get_visible() or not self._check_xy(renderer):
+            return Bbox.unit()
+        if renderer is not None:
+            self._renderer = renderer
+        if self._renderer is None:
+            self._renderer = self.get_figure(root=True)._get_renderer()
+        if self._renderer is None:
+            raise RuntimeError('Cannot get window extent without renderer')
 
-        self._update_position_xytext(renderer, xy_pixel)
-        self.update_bbox_position_size(renderer)
+        self.update_positions(self._renderer)
 
-        if self.arrow is not None:
-            if self.arrow.figure is None and self.figure is not None:
-                self.arrow.figure = self.figure
-            self.arrow.draw(renderer)
+        text_bbox = Text.get_window_extent(self)
+        bboxes = [text_bbox]
 
         if self.arrow_patch is not None:
-            if self.arrow_patch.figure is None and self.figure is not None:
-                self.arrow_patch.figure = self.figure
-            self.arrow_patch.draw(renderer)
+            bboxes.append(self.arrow_patch.get_window_extent())
 
-        Text.draw(self, renderer)
+        return Bbox.union(bboxes)
+
+    def get_tightbbox(self, renderer=None):
+        # docstring inherited
+        if not self._check_xy(renderer):
+            return Bbox.null()
+        return super().get_tightbbox(renderer)
 
 
-docstring.interpd.update(Annotation=Annotation.__init__.__doc__)
+_docstring.interpd.register(Annotation=Annotation.__init__.__doc__)
diff --git a/lib/matplotlib/text.pyi b/lib/matplotlib/text.pyi
new file mode 100644
index 000000000000..41c7b761ae32
--- /dev/null
+++ b/lib/matplotlib/text.pyi
@@ -0,0 +1,183 @@
+from .artist import Artist
+from .backend_bases import RendererBase
+from .font_manager import FontProperties
+from .offsetbox import DraggableAnnotation
+from .path import Path
+from .patches import FancyArrowPatch, FancyBboxPatch
+from .textpath import (  # noqa: F401, reexported API
+    TextPath as TextPath,
+    TextToPath as TextToPath,
+)
+from .transforms import (
+    Bbox,
+    BboxBase,
+    Transform,
+)
+
+from collections.abc import Iterable
+from typing import Any, Literal
+from .typing import ColorType, CoordsType
+
+class Text(Artist):
+    zorder: float
+    def __init__(
+        self,
+        x: float = ...,
+        y: float = ...,
+        text: Any = ...,
+        *,
+        color: ColorType | None = ...,
+        verticalalignment: Literal[
+            "bottom", "baseline", "center", "center_baseline", "top"
+        ] = ...,
+        horizontalalignment: Literal["left", "center", "right"] = ...,
+        multialignment: Literal["left", "center", "right"] | None = ...,
+        fontproperties: str | Path | FontProperties | None = ...,
+        rotation: float | Literal["vertical", "horizontal"] | None = ...,
+        linespacing: float | None = ...,
+        rotation_mode: Literal["default", "anchor"] | None = ...,
+        usetex: bool | None = ...,
+        wrap: bool = ...,
+        transform_rotates_text: bool = ...,
+        parse_math: bool | None = ...,
+        antialiased: bool | None = ...,
+        **kwargs
+    ) -> None: ...
+    def update(self, kwargs: dict[str, Any]) -> list[Any]: ...
+    def get_rotation(self) -> float: ...
+    def get_transform_rotates_text(self) -> bool: ...
+    def set_rotation_mode(self, m: None | Literal["default", "anchor", "xtick", "ytick"]) -> None: ...
+    def get_rotation_mode(self) -> Literal["default", "anchor", "xtick", "ytick"]: ...
+    def set_bbox(self, rectprops: dict[str, Any] | None) -> None: ...
+    def get_bbox_patch(self) -> None | FancyBboxPatch: ...
+    def update_bbox_position_size(self, renderer: RendererBase) -> None: ...
+    def get_wrap(self) -> bool: ...
+    def set_wrap(self, wrap: bool) -> None: ...
+    def get_color(self) -> ColorType: ...
+    def get_fontproperties(self) -> FontProperties: ...
+    def get_fontfamily(self) -> list[str]: ...
+    def get_fontname(self) -> str: ...
+    def get_fontstyle(self) -> Literal["normal", "italic", "oblique"]: ...
+    def get_fontsize(self) -> float | str: ...
+    def get_fontvariant(self) -> Literal["normal", "small-caps"]: ...
+    def get_fontweight(self) -> int | str: ...
+    def get_stretch(self) -> int | str: ...
+    def get_horizontalalignment(self) -> Literal["left", "center", "right"]: ...
+    def get_unitless_position(self) -> tuple[float, float]: ...
+    def get_position(self) -> tuple[float, float]: ...
+    def get_text(self) -> str: ...
+    def get_verticalalignment(
+        self,
+    ) -> Literal["bottom", "baseline", "center", "center_baseline", "top"]: ...
+    def get_window_extent(
+        self, renderer: RendererBase | None = ..., dpi: float | None = ...
+    ) -> Bbox: ...
+    def set_backgroundcolor(self, color: ColorType) -> None: ...
+    def set_color(self, color: ColorType) -> None: ...
+    def set_horizontalalignment(
+        self, align: Literal["left", "center", "right"]
+    ) -> None: ...
+    def set_multialignment(self, align: Literal["left", "center", "right"]) -> None: ...
+    def set_linespacing(self, spacing: float) -> None: ...
+    def set_fontfamily(self, fontname: str | Iterable[str]) -> None: ...
+    def set_fontvariant(self, variant: Literal["normal", "small-caps"]) -> None: ...
+    def set_fontstyle(
+        self, fontstyle: Literal["normal", "italic", "oblique"]
+    ) -> None: ...
+    def set_fontsize(self, fontsize: float | str) -> None: ...
+    def get_math_fontfamily(self) -> str: ...
+    def set_math_fontfamily(self, fontfamily: str) -> None: ...
+    def set_fontweight(self, weight: int | str) -> None: ...
+    def set_fontstretch(self, stretch: int | str) -> None: ...
+    def set_position(self, xy: tuple[float, float]) -> None: ...
+    def set_x(self, x: float) -> None: ...
+    def set_y(self, y: float) -> None: ...
+    def set_rotation(self, s: float) -> None: ...
+    def set_transform_rotates_text(self, t: bool) -> None: ...
+    def set_verticalalignment(
+        self, align: Literal["bottom", "baseline", "center", "center_baseline", "top"]
+    ) -> None: ...
+    def set_text(self, s: Any) -> None: ...
+    def set_fontproperties(self, fp: FontProperties | str | Path | None) -> None: ...
+    def set_usetex(self, usetex: bool | None) -> None: ...
+    def get_usetex(self) -> bool: ...
+    def set_parse_math(self, parse_math: bool) -> None: ...
+    def get_parse_math(self) -> bool: ...
+    def set_fontname(self, fontname: str | Iterable[str]) -> None: ...
+    def get_antialiased(self) -> bool: ...
+    def set_antialiased(self, antialiased: bool) -> None: ...
+    def _ha_for_angle(self, angle: Any) -> Literal['center', 'right', 'left'] | None: ...
+    def _va_for_angle(self, angle: Any) -> Literal['center', 'top', 'baseline'] | None: ...
+
+class OffsetFrom:
+    def __init__(
+        self,
+        artist: Artist | BboxBase | Transform,
+        ref_coord: tuple[float, float],
+        unit: Literal["points", "pixels"] = ...,
+    ) -> None: ...
+    def set_unit(self, unit: Literal["points", "pixels"]) -> None: ...
+    def get_unit(self) -> Literal["points", "pixels"]: ...
+    def __call__(self, renderer: RendererBase) -> Transform: ...
+
+class _AnnotationBase:
+    xy: tuple[float, float]
+    xycoords: CoordsType
+    def __init__(
+        self,
+        xy,
+        xycoords: CoordsType = ...,
+        annotation_clip: bool | None = ...,
+    ) -> None: ...
+    def set_annotation_clip(self, b: bool | None) -> None: ...
+    def get_annotation_clip(self) -> bool | None: ...
+    def draggable(
+        self, state: bool | None = ..., use_blit: bool = ...
+    ) -> DraggableAnnotation | None: ...
+
+class Annotation(Text, _AnnotationBase):
+    arrowprops: dict[str, Any] | None
+    arrow_patch: FancyArrowPatch | None
+    def __init__(
+        self,
+        text: str,
+        xy: tuple[float, float],
+        xytext: tuple[float, float] | None = ...,
+        xycoords: CoordsType = ...,
+        textcoords: CoordsType | None = ...,
+        arrowprops: dict[str, Any] | None = ...,
+        annotation_clip: bool | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def xycoords(
+        self,
+    ) -> CoordsType: ...
+    @xycoords.setter
+    def xycoords(
+        self,
+        xycoords: CoordsType,
+    ) -> None: ...
+    @property
+    def xyann(self) -> tuple[float, float]: ...
+    @xyann.setter
+    def xyann(self, xytext: tuple[float, float]) -> None: ...
+    def get_anncoords(
+        self,
+    ) -> CoordsType: ...
+    def set_anncoords(
+        self,
+        coords: CoordsType,
+    ) -> None: ...
+    @property
+    def anncoords(
+        self,
+    ) -> CoordsType: ...
+    @anncoords.setter
+    def anncoords(
+        self,
+        coords: CoordsType,
+    ) -> None: ...
+    def update_positions(self, renderer: RendererBase) -> None: ...
+    # Drops `dpi` parameter from superclass
+    def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...  # type: ignore[override]
diff --git a/lib/matplotlib/textpath.py b/lib/matplotlib/textpath.py
index 6bf05a8adda4..b57597ded363 100644
--- a/lib/matplotlib/textpath.py
+++ b/lib/matplotlib/textpath.py
@@ -1,120 +1,67 @@
-# -*- coding: utf-8 -*-
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
-
-import warnings
-if six.PY3:
-    from urllib.parse import quote as urllib_quote
-else:
-    from urllib import quote as urllib_quote
+from collections import OrderedDict
+import logging
+import urllib.parse
 
 import numpy as np
 
-from matplotlib.path import Path
-from matplotlib import rcParams
-import matplotlib.font_manager as font_manager
-from matplotlib.ft2font import FT2Font, KERNING_DEFAULT, LOAD_NO_HINTING
-from matplotlib.ft2font import LOAD_TARGET_LIGHT
+from matplotlib import _text_helpers, dviread
+from matplotlib.font_manager import (
+    FontProperties, get_font, fontManager as _fontManager
+)
+from matplotlib.ft2font import LoadFlags
 from matplotlib.mathtext import MathTextParser
-import matplotlib.dviread as dviread
-from matplotlib.font_manager import FontProperties
+from matplotlib.path import Path
+from matplotlib.texmanager import TexManager
 from matplotlib.transforms import Affine2D
 
+_log = logging.getLogger(__name__)
 
-class TextToPath(object):
-    """
-    A class that convert a given text to a path using ttf fonts.
-    """
+
+class TextToPath:
+    """A class that converts strings to paths."""
 
     FONT_SCALE = 100.
     DPI = 72
 
     def __init__(self):
-        """
-        Initialization
-        """
         self.mathtext_parser = MathTextParser('path')
-        self.tex_font_map = None
-
-        from matplotlib.cbook import maxdict
-        self._ps_fontd = maxdict(50)
-
         self._texmanager = None
 
-        self._adobe_standard_encoding = None
-
-    def _get_adobe_standard_encoding(self):
-        enc_name = dviread.find_tex_file('8a.enc')
-        enc = dviread.Encoding(enc_name)
-        return dict([(c, i) for i, c in enumerate(enc.encoding)])
-
     def _get_font(self, prop):
         """
-        find a ttf font.
+        Find the `FT2Font` matching font properties *prop*, with its size set.
         """
-        fname = font_manager.findfont(prop)
-        font = FT2Font(fname)
+        filenames = _fontManager._find_fonts_by_props(prop)
+        font = get_font(filenames)
         font.set_size(self.FONT_SCALE, self.DPI)
-
         return font
 
     def _get_hinting_flag(self):
-        return LOAD_NO_HINTING
+        return LoadFlags.NO_HINTING
 
     def _get_char_id(self, font, ccode):
         """
         Return a unique id for the given font and character-code set.
         """
-        sfnt = font.get_sfnt()
-        try:
-            ps_name = sfnt[(1, 0, 0, 6)].decode('macroman')
-        except KeyError:
-            ps_name = sfnt[(3, 1, 0x0409, 6)].decode('utf-16be')
-        char_id = urllib_quote('%s-%x' % (ps_name, ccode))
-        return char_id
-
-    def _get_char_id_ps(self, font, ccode):
-        """
-        Return a unique id for the given font and character-code set (for tex).
-        """
-        ps_name = font.get_ps_font_info()[2]
-        char_id = urllib_quote('%s-%d' % (ps_name, ccode))
-        return char_id
-
-    def glyph_to_path(self, font, currx=0.):
-        """
-        convert the ft2font glyph to vertices and codes.
-        """
-        verts, codes = font.get_path()
-        if currx != 0.0:
-            verts[:, 0] += currx
-        return verts, codes
+        return urllib.parse.quote(f"{font.postscript_name}-{ccode:x}")
 
     def get_text_width_height_descent(self, s, prop, ismath):
-        if rcParams['text.usetex']:
-            texmanager = self.get_texmanager()
-            fontsize = prop.get_size_in_points()
-            w, h, d = texmanager.get_text_width_height_descent(s, fontsize,
-                                                               renderer=None)
-            return w, h, d
-
         fontsize = prop.get_size_in_points()
-        scale = float(fontsize) / self.FONT_SCALE
+
+        if ismath == "TeX":
+            return TexManager().get_text_width_height_descent(s, fontsize)
+
+        scale = fontsize / self.FONT_SCALE
 
         if ismath:
             prop = prop.copy()
             prop.set_size(self.FONT_SCALE)
-
-            width, height, descent, trash, used_characters = \
+            width, height, descent, *_ = \
                 self.mathtext_parser.parse(s, 72, prop)
             return width * scale, height * scale, descent * scale
 
         font = self._get_font(prop)
-        font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
+        font.set_text(s, 0.0, flags=LoadFlags.NO_HINTING)
         w, h = font.get_width_height()
         w /= 64.0  # convert from subpixels
         h /= 64.0
@@ -122,104 +69,88 @@ def get_text_width_height_descent(self, s, prop, ismath):
         d /= 64.0
         return w * scale, h * scale, d * scale
 
-    def get_text_path(self, prop, s, ismath=False, usetex=False):
+    def get_text_path(self, prop, s, ismath=False):
         """
-        convert text *s* to path (a tuple of vertices and codes for
+        Convert text *s* to path (a tuple of vertices and codes for
         matplotlib.path.Path).
 
-        *prop*
-          font property
-
-        *s*
-          text to be converted
-
-        *usetex*
-          If True, use matplotlib usetex mode.
-
-        *ismath*
-          If True, use mathtext parser. Effective only if usetex == False.
-
-
-        """
-        if not usetex:
-            if not ismath:
-                font = self._get_font(prop)
-                glyph_info, glyph_map, rects = self.get_glyphs_with_font(
-                                                    font, s)
-            else:
-                glyph_info, glyph_map, rects = self.get_glyphs_mathtext(
-                                                    prop, s)
-        else:
+        Parameters
+        ----------
+        prop : `~matplotlib.font_manager.FontProperties`
+            The font properties for the text.
+        s : str
+            The text to be converted.
+        ismath : {False, True, "TeX"}
+            If True, use mathtext parser.  If "TeX", use tex for rendering.
+
+        Returns
+        -------
+        verts : list
+            A list of arrays containing the (x, y) coordinates of the vertices.
+        codes : list
+            A list of path codes.
+
+        Examples
+        --------
+        Create a list of vertices and codes from a text, and create a `.Path`
+        from those::
+
+            from matplotlib.path import Path
+            from matplotlib.text import TextToPath
+            from matplotlib.font_manager import FontProperties
+
+            fp = FontProperties(family="Comic Neue", style="italic")
+            verts, codes = TextToPath().get_text_path(fp, "ABC")
+            path = Path(verts, codes, closed=False)
+
+        Also see `TextPath` for a more direct way to create a path from a text.
+        """
+        if ismath == "TeX":
             glyph_info, glyph_map, rects = self.get_glyphs_tex(prop, s)
+        elif not ismath:
+            font = self._get_font(prop)
+            glyph_info, glyph_map, rects = self.get_glyphs_with_font(font, s)
+        else:
+            glyph_info, glyph_map, rects = self.get_glyphs_mathtext(prop, s)
 
         verts, codes = [], []
-
         for glyph_id, xposition, yposition, scale in glyph_info:
             verts1, codes1 = glyph_map[glyph_id]
-            if len(verts1):
-                verts1 = np.array(verts1) * scale + [xposition, yposition]
-                verts.extend(verts1)
-                codes.extend(codes1)
-
+            verts.extend(verts1 * scale + [xposition, yposition])
+            codes.extend(codes1)
         for verts1, codes1 in rects:
             verts.extend(verts1)
             codes.extend(codes1)
 
+        # Make sure an empty string or one with nothing to print
+        # (e.g. only spaces & newlines) will be valid/empty path
+        if not verts:
+            verts = np.empty((0, 2))
+
         return verts, codes
 
     def get_glyphs_with_font(self, font, s, glyph_map=None,
                              return_new_glyphs_only=False):
         """
-        convert the string *s* to vertices and codes using the
-        provided ttf font.
+        Convert string *s* to vertices and codes using the provided ttf font.
         """
 
-        # Mostly copied from backend_svg.py.
-
-        cmap = font.get_charmap()
-        lastgind = None
-
-        currx = 0
-        xpositions = []
-        glyph_ids = []
-
         if glyph_map is None:
-            glyph_map = dict()
+            glyph_map = OrderedDict()
 
         if return_new_glyphs_only:
-            glyph_map_new = dict()
+            glyph_map_new = OrderedDict()
         else:
             glyph_map_new = glyph_map
 
-        # I'm not sure if I get kernings right. Needs to be verified. -JJL
-
-        for c in s:
-            ccode = ord(c)
-            gind = cmap.get(ccode)
-            if gind is None:
-                ccode = ord('?')
-                gind = 0
-
-            if lastgind is not None:
-                kern = font.get_kerning(lastgind, gind, KERNING_DEFAULT)
-            else:
-                kern = 0
-
-            glyph = font.load_char(ccode, flags=LOAD_NO_HINTING)
-            horiz_advance = (glyph.linearHoriAdvance / 65536.0)
-
-            char_id = self._get_char_id(font, ccode)
-            if char_id not in glyph_map:
-                glyph_map_new[char_id] = self.glyph_to_path(font)
-
-            currx += (kern / 64.0)
-
-            xpositions.append(currx)
+        xpositions = []
+        glyph_ids = []
+        for item in _text_helpers.layout(s, font):
+            char_id = self._get_char_id(item.ft_object, ord(item.char))
             glyph_ids.append(char_id)
-
-            currx += horiz_advance
-
-            lastgind = gind
+            xpositions.append(item.x)
+            if char_id not in glyph_map:
+                glyph_map_new[char_id] = item.ft_object.get_path()
 
         ypositions = [0] * len(xpositions)
         sizes = [1.] * len(xpositions)
@@ -227,13 +158,12 @@ def get_glyphs_with_font(self, font, s, glyph_map=None,
         rects = []
 
         return (list(zip(glyph_ids, xpositions, ypositions, sizes)),
-                     glyph_map_new, rects)
+                glyph_map_new, rects)
 
     def get_glyphs_mathtext(self, prop, s, glyph_map=None,
                             return_new_glyphs_only=False):
         """
-        convert the string *s* to vertices and codes by parsing it with
-        mathtext.
+        Parse mathtext string *s* and convert it to a (vertices, codes) pair.
         """
 
         prop = prop.copy()
@@ -243,10 +173,10 @@ def get_glyphs_mathtext(self, prop, s, glyph_map=None,
             s, self.DPI, prop)
 
         if not glyph_map:
-            glyph_map = dict()
+            glyph_map = OrderedDict()
 
         if return_new_glyphs_only:
-            glyph_map_new = dict()
+            glyph_map_new = OrderedDict()
         else:
             glyph_map_new = glyph_map
 
@@ -255,14 +185,13 @@ def get_glyphs_mathtext(self, prop, s, glyph_map=None,
         glyph_ids = []
         sizes = []
 
-        currx, curry = 0, 0
         for font, fontsize, ccode, ox, oy in glyphs:
             char_id = self._get_char_id(font, ccode)
             if char_id not in glyph_map:
                 font.clear()
                 font.set_size(self.FONT_SCALE, self.DPI)
-                glyph = font.load_char(ccode, flags=LOAD_NO_HINTING)
-                glyph_map_new[char_id] = self.glyph_to_path(font)
+                font.load_char(ccode, flags=LoadFlags.NO_HINTING)
+                glyph_map_new[char_id] = font.get_path()
 
             xpositions.append(ox)
             ypositions.append(oy)
@@ -282,50 +211,20 @@ def get_glyphs_mathtext(self, prop, s, glyph_map=None,
         return (list(zip(glyph_ids, xpositions, ypositions, sizes)),
                 glyph_map_new, myrects)
 
-    def get_texmanager(self):
-        """
-        return the :class:`matplotlib.texmanager.TexManager` instance
-        """
-        if self._texmanager is None:
-            from matplotlib.texmanager import TexManager
-            self._texmanager = TexManager()
-        return self._texmanager
-
     def get_glyphs_tex(self, prop, s, glyph_map=None,
                        return_new_glyphs_only=False):
-        """
-        convert the string *s* to vertices and codes using matplotlib's usetex
-        mode.
-        """
-
-        # codes are modstly borrowed from pdf backend.
-
-        texmanager = self.get_texmanager()
+        """Convert the string *s* to vertices and codes using usetex mode."""
+        # Mostly borrowed from pdf backend.
 
-        if self.tex_font_map is None:
-            self.tex_font_map = dviread.PsfontsMap(
-                                    dviread.find_tex_file('pdftex.map'))
-
-        if self._adobe_standard_encoding is None:
-            self._adobe_standard_encoding = self._get_adobe_standard_encoding()
-
-        fontsize = prop.get_size_in_points()
-        if hasattr(texmanager, "get_dvi"):
-            dvifilelike = texmanager.get_dvi(s, self.FONT_SCALE)
-            dvi = dviread.DviFromFileLike(dvifilelike, self.DPI)
-        else:
-            dvifile = texmanager.make_dvi(s, self.FONT_SCALE)
-            dvi = dviread.Dvi(dvifile, self.DPI)
-        try:
-            page = next(iter(dvi))
-        finally:
-            dvi.close()
+        dvifile = TexManager().make_dvi(s, self.FONT_SCALE)
+        with dviread.Dvi(dvifile, self.DPI) as dvi:
+            page, = dvi
 
         if glyph_map is None:
-            glyph_map = dict()
+            glyph_map = OrderedDict()
 
         if return_new_glyphs_only:
-            glyph_map_new = dict()
+            glyph_map_new = OrderedDict()
         else:
             glyph_map_new = glyph_map
 
@@ -333,67 +232,20 @@ def get_glyphs_tex(self, prop, s, glyph_map=None,
 
         # Gather font information and do some setup for combining
         # characters into strings.
-        # oldfont, seq = None, []
-        for x1, y1, dvifont, glyph, width in page.text:
-            font_and_encoding = self._ps_fontd.get(dvifont.texname)
-            font_bunch = self.tex_font_map[dvifont.texname]
-
-            if font_and_encoding is None:
-                font = FT2Font(font_bunch.filename)
-
-                for charmap_name, charmap_code in [("ADOBE_CUSTOM",
-                                                    1094992451),
-                                                   ("ADOBE_STANDARD",
-                                                    1094995778)]:
-                    try:
-                        font.select_charmap(charmap_code)
-                    except ValueError:
-                        pass
-                    else:
-                        break
-                else:
-                    charmap_name = ""
-                    warnings.warn("No supported encoding in font (%s)." %
-                                  font_bunch.filename)
-
-                if charmap_name == "ADOBE_STANDARD" and font_bunch.encoding:
-                    enc0 = dviread.Encoding(font_bunch.encoding)
-                    enc = dict([(i, self._adobe_standard_encoding.get(c, None))
-                                for i, c in enumerate(enc0.encoding)])
-                else:
-                    enc = dict()
-                self._ps_fontd[dvifont.texname] = font, enc
-
-            else:
-                font, enc = font_and_encoding
-
-            ft2font_flag = LOAD_TARGET_LIGHT
-
-            char_id = self._get_char_id_ps(font, glyph)
-
+        t1_encodings = {}
+        for text in page.text:
+            font = get_font(text.font_path)
+            char_id = self._get_char_id(font, text.glyph)
             if char_id not in glyph_map:
                 font.clear()
                 font.set_size(self.FONT_SCALE, self.DPI)
-                if enc:
-                    charcode = enc.get(glyph, None)
-                else:
-                    charcode = glyph
-
-                if charcode is not None:
-                    glyph0 = font.load_char(charcode, flags=ft2font_flag)
-                else:
-                    warnings.warn("The glyph (%d) of font (%s) cannot be "
-                                  "converted with the encoding. Glyph may "
-                                  "be wrong" % (glyph, font_bunch.filename))
-
-                    glyph0 = font.load_char(glyph, flags=ft2font_flag)
-
-                glyph_map_new[char_id] = self.glyph_to_path(font)
+                font.load_glyph(text.index, flags=LoadFlags.TARGET_LIGHT)
+                glyph_map_new[char_id] = font.get_path()
 
             glyph_ids.append(char_id)
-            xpositions.append(x1)
-            ypositions.append(y1)
-            sizes.append(dvifont.size / self.FONT_SCALE)
+            xpositions.append(text.x)
+            ypositions.append(text.y)
+            sizes.append(text.font_size / self.FONT_SCALE)
 
         myrects = []
 
@@ -418,23 +270,53 @@ class TextPath(Path):
     """
 
     def __init__(self, xy, s, size=None, prop=None,
-                 _interpolation_steps=1, usetex=False,
-                 *kl, **kwargs):
-        """
-        Create a path from the text. No support for TeX yet. Note that
-        it simply is a path, not an artist. You need to use the
-        PathPatch (or other artists) to draw this path onto the
-        canvas.
-
-        xy : position of the text.
-        s : text
-        size : font size
-        prop : font property
-        """
+                 _interpolation_steps=1, usetex=False):
+        r"""
+        Create a path from the text. Note that it simply is a path,
+        not an artist. You need to use the `.PathPatch` (or other artists)
+        to draw this path onto the canvas.
+
+        Parameters
+        ----------
+        xy : tuple or array of two float values
+            Position of the text. For no offset, use ``xy=(0, 0)``.
+
+        s : str
+            The text to convert to a path.
+
+        size : float, optional
+            Font size in points. Defaults to the size specified via the font
+            properties *prop*.
+
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property. If not provided, will use a default
+            `.FontProperties` with parameters from the
+            :ref:`rcParams<customizing-with-dynamic-rc-settings>`.
+
+        _interpolation_steps : int, optional
+            (Currently ignored)
+
+        usetex : bool, default: False
+            Whether to use tex rendering.
 
-        if prop is None:
-            prop = FontProperties()
+        Examples
+        --------
+        The following creates a path from the string "ABC" with Helvetica
+        font face; and another path from the latex fraction 1/2::
 
+            from matplotlib.text import TextPath
+            from matplotlib.font_manager import FontProperties
+
+            fp = FontProperties(family="Helvetica", style="italic")
+            path1 = TextPath((12, 12), "ABC", size=12, prop=fp)
+            path2 = TextPath((0, 0), r"$\frac{1}{2}$", size=12, usetex=True)
+
+        Also see :doc:`/gallery/text_labels_and_annotations/demo_text_path`.
+        """
+        # Circular import.
+        from matplotlib.text import Text
+
+        prop = FontProperties._from_any(prop)
         if size is None:
             size = prop.get_size_in_points()
 
@@ -442,93 +324,48 @@ def __init__(self, xy, s, size=None, prop=None,
         self.set_size(size)
 
         self._cached_vertices = None
-
-        self._vertices, self._codes = self.text_get_vertices_codes(
-                                            prop, s,
-                                            usetex=usetex)
-
+        s, ismath = Text(usetex=usetex)._preprocess_math(s)
+        super().__init__(
+            *text_to_path.get_text_path(prop, s, ismath=ismath),
+            _interpolation_steps=_interpolation_steps,
+            readonly=True)
         self._should_simplify = False
-        self._simplify_threshold = rcParams['path.simplify_threshold']
-        self._has_nonfinite = False
-        self._interpolation_steps = _interpolation_steps
 
     def set_size(self, size):
-        """
-        set the size of the text
-        """
+        """Set the text size."""
         self._size = size
         self._invalid = True
 
     def get_size(self):
-        """
-        get the size of the text
-        """
+        """Get the text size."""
         return self._size
 
-    def _get_vertices(self):
+    @property
+    def vertices(self):
         """
         Return the cached path after updating it if necessary.
         """
         self._revalidate_path()
         return self._cached_vertices
 
-    def _get_codes(self):
+    @property
+    def codes(self):
         """
         Return the codes
         """
         return self._codes
 
-    vertices = property(_get_vertices)
-    codes = property(_get_codes)
-
     def _revalidate_path(self):
         """
-        update the path if necessary.
-
-        The path for the text is initially create with the font size
-        of FONT_SCALE, and this path is rescaled to other size when
-        necessary.
+        Update the path if necessary.
 
+        The path for the text is initially create with the font size of
+        `.FONT_SCALE`, and this path is rescaled to other size when necessary.
         """
-        if (self._invalid or
-            (self._cached_vertices is None)):
-            tr = Affine2D().scale(
-                    self._size / text_to_path.FONT_SCALE,
-                    self._size / text_to_path.FONT_SCALE).translate(*self._xy)
+        if self._invalid or self._cached_vertices is None:
+            tr = (Affine2D()
+                  .scale(self._size / text_to_path.FONT_SCALE)
+                  .translate(*self._xy))
             self._cached_vertices = tr.transform(self._vertices)
+            self._cached_vertices.flags.writeable = False
             self._invalid = False
-
-    def is_math_text(self, s):
-        """
-        Returns True if the given string *s* contains any mathtext.
-        """
-        # copied from Text.is_math_text -JJL
-
-        # Did we find an even number of non-escaped dollar signs?
-        # If so, treat is as math text.
-        dollar_count = s.count(r'$') - s.count(r'\$')
-        even_dollars = (dollar_count > 0 and dollar_count % 2 == 0)
-
-        if rcParams['text.usetex']:
-            return s, 'TeX'
-
-        if even_dollars:
-            return s, True
-        else:
-            return s.replace(r'\$', '$'), False
-
-    def text_get_vertices_codes(self, prop, s, usetex):
-        """
-        convert the string *s* to vertices and codes using the
-        provided font property *prop*. Mostly copied from
-        backend_svg.py.
-        """
-
-        if usetex:
-            verts, codes = text_to_path.get_text_path(prop, s, usetex=True)
-        else:
-            clean_line, ismath = self.is_math_text(s)
-            verts, codes = text_to_path.get_text_path(prop, clean_line,
-                                                      ismath=ismath)
-
-        return verts, codes
diff --git a/lib/matplotlib/textpath.pyi b/lib/matplotlib/textpath.pyi
new file mode 100644
index 000000000000..34d4e92ac47e
--- /dev/null
+++ b/lib/matplotlib/textpath.pyi
@@ -0,0 +1,74 @@
+from matplotlib.font_manager import FontProperties
+from matplotlib.ft2font import FT2Font
+from matplotlib.mathtext import MathTextParser, VectorParse
+from matplotlib.path import Path
+
+import numpy as np
+
+from typing import Literal
+
+class TextToPath:
+    FONT_SCALE: float
+    DPI: float
+    mathtext_parser: MathTextParser[VectorParse]
+    def __init__(self) -> None: ...
+    def get_text_width_height_descent(
+        self, s: str, prop: FontProperties, ismath: bool | Literal["TeX"]
+    ) -> tuple[float, float, float]: ...
+    def get_text_path(
+        self, prop: FontProperties, s: str, ismath: bool | Literal["TeX"] = ...
+    ) -> list[np.ndarray]: ...
+    def get_glyphs_with_font(
+        self,
+        font: FT2Font,
+        s: str,
+        glyph_map: dict[str, tuple[np.ndarray, np.ndarray]] | None = ...,
+        return_new_glyphs_only: bool = ...,
+    ) -> tuple[
+        list[tuple[str, float, float, float]],
+        dict[str, tuple[np.ndarray, np.ndarray]],
+        list[tuple[list[tuple[float, float]], list[int]]],
+    ]: ...
+    def get_glyphs_mathtext(
+        self,
+        prop: FontProperties,
+        s: str,
+        glyph_map: dict[str, tuple[np.ndarray, np.ndarray]] | None = ...,
+        return_new_glyphs_only: bool = ...,
+    ) -> tuple[
+        list[tuple[str, float, float, float]],
+        dict[str, tuple[np.ndarray, np.ndarray]],
+        list[tuple[list[tuple[float, float]], list[int]]],
+    ]: ...
+    def get_glyphs_tex(
+        self,
+        prop: FontProperties,
+        s: str,
+        glyph_map: dict[str, tuple[np.ndarray, np.ndarray]] | None = ...,
+        return_new_glyphs_only: bool = ...,
+    ) -> tuple[
+        list[tuple[str, float, float, float]],
+        dict[str, tuple[np.ndarray, np.ndarray]],
+        list[tuple[list[tuple[float, float]], list[int]]],
+    ]: ...
+
+text_to_path: TextToPath
+
+class TextPath(Path):
+    def __init__(
+        self,
+        xy: tuple[float, float],
+        s: str,
+        size: float | None = ...,
+        prop: FontProperties | None = ...,
+        _interpolation_steps: int = ...,
+        usetex: bool = ...,
+    ) -> None: ...
+    def set_size(self, size: float | None) -> None: ...
+    def get_size(self) -> float | None: ...
+
+    # These are read only... there actually are protections in the base class, so probably can be deleted...
+    @property  # type: ignore[misc]
+    def vertices(self) -> np.ndarray: ...  # type: ignore[override]
+    @property  # type: ignore[misc]
+    def codes(self) -> np.ndarray: ...  # type: ignore[override]
diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
index ff8fe8b6302d..b5c12e7f4905 100644
--- a/lib/matplotlib/ticker.py
+++ b/lib/matplotlib/ticker.py
@@ -2,185 +2,190 @@
 Tick locating and formatting
 ============================
 
-This module contains classes to support completely configurable tick locating
-and formatting.  Although the locators know nothing about major or minor
-ticks, they are used by the Axis class to support major and minor tick
-locating and formatting.  Generic tick locators and formatters are provided,
-as well as domain specific custom ones..
+This module contains classes for configuring tick locating and formatting.
+Generic tick locators and formatters are provided, as well as domain specific
+custom ones.
 
+Although the locators know nothing about major or minor ticks, they are used
+by the Axis class to support major and minor tick locating and formatting.
 
-Default Formatter
------------------
-
-The default formatter identifies when the x-data being
-plotted is a small range on top of a large off set.  To
-reduce the chances that the ticklabels overlap the ticks
-are labeled as deltas from a fixed offset.  For example::
-
-   ax.plot(np.arange(2000, 2010), range(10))
-
-will have tick of 0-9 with an offset of +2e3.  If this
-is not desired turn off the use of the offset on the default
-formatter::
-
-
-   ax.get_xaxis().get_major_formatter().set_useOffset(False)
-
-set the rcParam ``axes.formatter.useoffset=False`` to turn it off
-globally, or set a different formatter.
+.. _tick_locating:
+.. _locators:
 
 Tick locating
 -------------
 
-The Locator class is the base class for all tick locators.  The locators
+The Locator class is the base class for all tick locators. The locators
 handle autoscaling of the view limits based on the data limits, and the
-choosing of tick locations.  A useful semi-automatic tick locator is
-MultipleLocator.  You initialize this with a base, e.g., 10, and it picks axis
-limits and ticks that are multiples of your base.
-
-The Locator subclasses defined here are
-
-:class:`NullLocator`
-    No ticks
-
-:class:`FixedLocator`
-    Tick locations are fixed
-
-:class:`IndexLocator`
-    locator for index plots (e.g., where x = range(len(y)))
-
-:class:`LinearLocator`
-    evenly spaced ticks from min to max
-
-:class:`LogLocator`
-    logarithmically ticks from min to max
-
-:class:`MultipleLocator`
-    ticks and range are a multiple of base;
-                  either integer or float
-:class:`OldAutoLocator`
-    choose a MultipleLocator and dyamically reassign it for
-    intelligent ticking during navigation
-
-:class:`MaxNLocator`
-    finds up to a max number of ticks at nice locations
-
-:class:`AutoLocator`
-    :class:`MaxNLocator` with simple defaults. This is the default
-    tick locator for most plotting.
-
-:class:`AutoMinorLocator`
-    locator for minor ticks when the axis is linear and the
-    major ticks are uniformly spaced.  It subdivides the major
-    tick interval into a specified number of minor intervals,
-    defaulting to 4 or 5 depending on the major interval.
-
+choosing of tick locations. A useful semi-automatic tick locator is
+`MultipleLocator`. It is initialized with a base, e.g., 10, and it picks
+axis limits and ticks that are multiples of that base.
+
+The Locator subclasses defined here are:
+
+======================= =======================================================
+`AutoLocator`           `MaxNLocator` with simple defaults. This is the default
+                        tick locator for most plotting.
+`MaxNLocator`           Finds up to a max number of intervals with ticks at
+                        nice locations.
+`LinearLocator`         Space ticks evenly from min to max.
+`LogLocator`            Space ticks logarithmically from min to max.
+`MultipleLocator`       Ticks and range are a multiple of base; either integer
+                        or float.
+`FixedLocator`          Tick locations are fixed.
+`IndexLocator`          Locator for index plots (e.g., where
+                        ``x = range(len(y))``).
+`NullLocator`           No ticks.
+`SymmetricalLogLocator` Locator for use with the symlog norm; works like
+                        `LogLocator` for the part outside of the threshold and
+                        adds 0 if inside the limits.
+`AsinhLocator`          Locator for use with the asinh norm, attempting to
+                        space ticks approximately uniformly.
+`LogitLocator`          Locator for logit scaling.
+`AutoMinorLocator`      Locator for minor ticks when the axis is linear and the
+                        major ticks are uniformly spaced. Subdivides the major
+                        tick interval into a specified number of minor
+                        intervals, defaulting to 4 or 5 depending on the major
+                        interval.
+======================= =======================================================
 
 There are a number of locators specialized for date locations - see
-the dates module
+the :mod:`.dates` module.
 
-You can define your own locator by deriving from Locator.  You must
-override the __call__ method, which returns a sequence of locations,
+You can define your own locator by deriving from Locator. You must
+override the ``__call__`` method, which returns a sequence of locations,
 and you will probably want to override the autoscale method to set the
 view limits from the data limits.
 
-If you want to override the default locator, use one of the above or a
-custom locator and pass it to the x or y axis instance.  The relevant
-methods are::
-
-  ax.xaxis.set_major_locator( xmajorLocator )
-  ax.xaxis.set_minor_locator( xminorLocator )
-  ax.yaxis.set_major_locator( ymajorLocator )
-  ax.yaxis.set_minor_locator( yminorLocator )
-
-The default minor locator is the NullLocator, e.g., no minor ticks on by
-default.
+If you want to override the default locator, use one of the above or a custom
+locator and pass it to the x- or y-axis instance. The relevant methods are::
 
-Tick formatting
----------------
+  ax.xaxis.set_major_locator(xmajor_locator)
+  ax.xaxis.set_minor_locator(xminor_locator)
+  ax.yaxis.set_major_locator(ymajor_locator)
+  ax.yaxis.set_minor_locator(yminor_locator)
 
-Tick formatting is controlled by classes derived from Formatter.  The
-formatter operates on a single tick value and returns a string to the
-axis.
+The default minor locator is `NullLocator`, i.e., no minor ticks on by default.
 
-:class:`NullFormatter`
-    no labels on the ticks
+.. note::
+    `Locator` instances should not be used with more than one
+    `~matplotlib.axis.Axis` or `~matplotlib.axes.Axes`. So instead of::
 
-:class:`IndexFormatter`
-    set the strings from a list of labels
+        locator = MultipleLocator(5)
+        ax.xaxis.set_major_locator(locator)
+        ax2.xaxis.set_major_locator(locator)
 
-:class:`FixedFormatter`
-    set the strings manually for the labels
+    do the following instead::
 
-:class:`FuncFormatter`
-    user defined function sets the labels
+        ax.xaxis.set_major_locator(MultipleLocator(5))
+        ax2.xaxis.set_major_locator(MultipleLocator(5))
 
-:class:`FormatStrFormatter`
-    use a sprintf format string
+.. _formatters:
 
-:class:`ScalarFormatter`
-    default formatter for scalars; autopick the fmt string
-
-:class:`LogFormatter`
-    formatter for log axes
+Tick formatting
+---------------
 
+Tick formatting is controlled by classes derived from Formatter. The formatter
+operates on a single tick value and returns a string to the axis.
+
+========================= =====================================================
+`NullFormatter`           No labels on the ticks.
+`FixedFormatter`          Set the strings manually for the labels.
+`FuncFormatter`           User defined function sets the labels.
+`StrMethodFormatter`      Use string `format` method.
+`FormatStrFormatter`      Use an old-style sprintf format string.
+`ScalarFormatter`         Default formatter for scalars: autopick the format
+                          string.
+`LogFormatter`            Formatter for log axes.
+`LogFormatterExponent`    Format values for log axis using
+                          ``exponent = log_base(value)``.
+`LogFormatterMathtext`    Format values for log axis using
+                          ``exponent = log_base(value)`` using Math text.
+`LogFormatterSciNotation` Format values for log axis using scientific notation.
+`LogitFormatter`          Probability formatter.
+`EngFormatter`            Format labels in engineering notation.
+`PercentFormatter`        Format labels as a percentage.
+========================= =====================================================
 
 You can derive your own formatter from the Formatter base class by
-simply overriding the ``__call__`` method.  The formatter class has access
-to the axis view and data limits.
+simply overriding the ``__call__`` method. The formatter class has
+access to the axis view and data limits.
 
 To control the major and minor tick label formats, use one of the
 following methods::
 
-  ax.xaxis.set_major_formatter( xmajorFormatter )
-  ax.xaxis.set_minor_formatter( xminorFormatter )
-  ax.yaxis.set_major_formatter( ymajorFormatter )
-  ax.yaxis.set_minor_formatter( yminorFormatter )
-
-See :ref:`pylab_examples-major_minor_demo1` for an example of setting
-major and minor ticks.  See the :mod:`matplotlib.dates` module for
-more information and examples of using date locators and formatters.
-"""
+  ax.xaxis.set_major_formatter(xmajor_formatter)
+  ax.xaxis.set_minor_formatter(xminor_formatter)
+  ax.yaxis.set_major_formatter(ymajor_formatter)
+  ax.yaxis.set_minor_formatter(yminor_formatter)
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+In addition to a `.Formatter` instance, `~.Axis.set_major_formatter` and
+`~.Axis.set_minor_formatter` also accept a ``str`` or function.  ``str`` input
+will be internally replaced with an autogenerated `.StrMethodFormatter` with
+the input ``str``. For function input, a `.FuncFormatter` with the input
+function will be generated and used.
 
-import six
-if six.PY3:
-    long = int
+See :doc:`/gallery/ticks/major_minor_demo` for an example of setting major
+and minor ticks. See the :mod:`matplotlib.dates` module for more information
+and examples of using date locators and formatters.
+"""
 
-import decimal
+import itertools
+import logging
 import locale
 import math
+from numbers import Integral
+import string
+
 import numpy as np
-from matplotlib import rcParams
-from matplotlib import cbook
+
+import matplotlib as mpl
+from matplotlib import _api, cbook
 from matplotlib import transforms as mtransforms
 
+_log = logging.getLogger(__name__)
+
+__all__ = ('TickHelper', 'Formatter', 'FixedFormatter',
+           'NullFormatter', 'FuncFormatter', 'FormatStrFormatter',
+           'StrMethodFormatter', 'ScalarFormatter', 'LogFormatter',
+           'LogFormatterExponent', 'LogFormatterMathtext',
+           'LogFormatterSciNotation',
+           'LogitFormatter', 'EngFormatter', 'PercentFormatter',
+           'Locator', 'IndexLocator', 'FixedLocator', 'NullLocator',
+           'LinearLocator', 'LogLocator', 'AutoLocator',
+           'MultipleLocator', 'MaxNLocator', 'AutoMinorLocator',
+           'SymmetricalLogLocator', 'AsinhLocator', 'LogitLocator')
+
+
+class _DummyAxis:
+    __name__ = "dummy"
 
-class _DummyAxis(object):
     def __init__(self, minpos=0):
-        self.dataLim = mtransforms.Bbox.unit()
-        self.viewLim = mtransforms.Bbox.unit()
+        self._data_interval = (0, 1)
+        self._view_interval = (0, 1)
         self._minpos = minpos
 
     def get_view_interval(self):
-        return self.viewLim.intervalx
+        return self._view_interval
 
     def set_view_interval(self, vmin, vmax):
-        self.viewLim.intervalx = vmin, vmax
+        self._view_interval = (vmin, vmax)
 
     def get_minpos(self):
         return self._minpos
 
     def get_data_interval(self):
-        return self.dataLim.intervalx
+        return self._data_interval
 
     def set_data_interval(self, vmin, vmax):
-        self.dataLim.intervalx = vmin, vmax
+        self._data_interval = (vmin, vmax)
 
+    def get_tick_space(self):
+        # Just use the long-standing default of nbins==9
+        return 9
 
-class TickHelper(object):
+
+class TickHelper:
     axis = None
 
     def set_axis(self, axis):
@@ -190,100 +195,101 @@ def create_dummy_axis(self, **kwargs):
         if self.axis is None:
             self.axis = _DummyAxis(**kwargs)
 
-    def set_view_interval(self, vmin, vmax):
-        self.axis.set_view_interval(vmin, vmax)
-
-    def set_data_interval(self, vmin, vmax):
-        self.axis.set_data_interval(vmin, vmax)
-
-    def set_bounds(self, vmin, vmax):
-        self.set_view_interval(vmin, vmax)
-        self.set_data_interval(vmin, vmax)
-
 
 class Formatter(TickHelper):
     """
-    Convert the tick location to a string
+    Create a string based on a tick value and location.
     """
     # some classes want to see all the locs to help format
     # individual ones
     locs = []
 
     def __call__(self, x, pos=None):
-        """Return the format for tick val x at position pos; pos=None
-           indicated unspecified"""
+        """
+        Return the format for tick value *x* at position pos.
+        ``pos=None`` indicates an unspecified location.
+        """
         raise NotImplementedError('Derived must override')
 
+    def format_ticks(self, values):
+        """Return the tick labels for all the ticks at once."""
+        self.set_locs(values)
+        return [self(value, i) for i, value in enumerate(values)]
+
     def format_data(self, value):
+        """
+        Return the full string representation of the value with the
+        position unspecified.
+        """
         return self.__call__(value)
 
     def format_data_short(self, value):
-        """return a short string version"""
+        """
+        Return a short string version of the tick value.
+
+        Defaults to the position-independent long value.
+        """
         return self.format_data(value)
 
     def get_offset(self):
         return ''
 
     def set_locs(self, locs):
-        self.locs = locs
-
-    def fix_minus(self, s):
         """
-        Some classes may want to replace a hyphen for minus with the
-        proper unicode symbol (U+2212) for typographical correctness.
-        The default is to not replace it.
+        Set the locations of the ticks.
 
-        Note, if you use this method, e.g., in :meth:`format_data` or
-        call, you probably don't want to use it for
-        :meth:`format_data_short` since the toolbar uses this for
-        interactive coord reporting and I doubt we can expect GUIs
-        across platforms will handle the unicode correctly.  So for
-        now the classes that override :meth:`fix_minus` should have an
-        explicit :meth:`format_data_short` method
+        This method is called before computing the tick labels because some
+        formatters need to know all tick locations to do so.
         """
-        return s
-
+        self.locs = locs
 
-class IndexFormatter(Formatter):
-    """
-    format the position x to the nearest i-th label where i=int(x+0.5)
-    """
-    def __init__(self, labels):
-        self.labels = labels
-        self.n = len(labels)
+    @staticmethod
+    def fix_minus(s):
+        """
+        Some classes may want to replace a hyphen for minus with the proper
+        Unicode symbol (U+2212) for typographical correctness.  This is a
+        helper method to perform such a replacement when it is enabled via
+        :rc:`axes.unicode_minus`.
+        """
+        return (s.replace('-', '\N{MINUS SIGN}')
+                if mpl.rcParams['axes.unicode_minus']
+                else s)
 
-    def __call__(self, x, pos=None):
-        """Return the format for tick val x at position pos; pos=None
-        indicated unspecified"""
-        i = int(x + 0.5)
-        if i < 0:
-            return ''
-        elif i >= self.n:
-            return ''
-        else:
-            return self.labels[i]
+    def _set_locator(self, locator):
+        """Subclasses may want to override this to set a locator."""
+        pass
 
 
 class NullFormatter(Formatter):
-    'Always return the empty string'
+    """Always return the empty string."""
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        # docstring inherited
         return ''
 
 
 class FixedFormatter(Formatter):
-    'Return fixed strings for tick labels'
+    """
+    Return fixed strings for tick labels based only on position, not value.
+
+    .. note::
+        `.FixedFormatter` should only be used together with `.FixedLocator`.
+        Otherwise, the labels may end up in unexpected positions.
+    """
+
     def __init__(self, seq):
-        """
-        *seq* is a sequence of strings.  For positions ``i < len(seq)`` return
-        *seq[i]* regardless of *x*.  Otherwise return ''
-        """
+        """Set the sequence *seq* of strings that will be used for labels."""
         self.seq = seq
         self.offset_string = ''
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        """
+        Return the label that matches the position, regardless of the value.
+
+        For positions ``pos < len(seq)``, return ``seq[i]`` regardless of
+        *x*. Otherwise return empty string. ``seq`` is the sequence of
+        strings that this object was initialized with.
+        """
         if pos is None or pos >= len(self.seq):
             return ''
         else:
@@ -298,120 +304,215 @@ def set_offset_string(self, ofs):
 
 class FuncFormatter(Formatter):
     """
-    User defined function for formatting
+    Use a user-defined function for formatting.
+
+    The function should take in two inputs (a tick value ``x`` and a
+    position ``pos``), and return a string containing the corresponding
+    tick label.
     """
+
     def __init__(self, func):
         self.func = func
+        self.offset_string = ""
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        """
+        Return the value of the user defined function.
+
+        *x* and *pos* are passed through as-is.
+        """
         return self.func(x, pos)
 
+    def get_offset(self):
+        return self.offset_string
+
+    def set_offset_string(self, ofs):
+        self.offset_string = ofs
+
 
 class FormatStrFormatter(Formatter):
     """
-    Use an old-style ('%' operator) format string to format the tick
+    Use an old-style ('%' operator) format string to format the tick.
+
+    The format string should have a single variable format (%) in it.
+    It will be applied to the value (not the position) of the tick.
+
+    Negative numeric values (e.g., -1) will use a dash, not a Unicode minus;
+    use mathtext to get a Unicode minus by wrapping the format specifier with $
+    (e.g. "$%g$").
     """
+
     def __init__(self, fmt):
         self.fmt = fmt
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        """
+        Return the formatted label string.
+
+        Only the value *x* is formatted. The position is ignored.
+        """
         return self.fmt % x
 
 
+class _UnicodeMinusFormat(string.Formatter):
+    """
+    A specialized string formatter so that `.StrMethodFormatter` respects
+    :rc:`axes.unicode_minus`.  This implementation relies on the fact that the
+    format string is only ever called with kwargs *x* and *pos*, so it blindly
+    replaces dashes by unicode minuses without further checking.
+    """
+
+    def format_field(self, value, format_spec):
+        return Formatter.fix_minus(super().format_field(value, format_spec))
+
+
 class StrMethodFormatter(Formatter):
     """
-    Use a new-style format string (as used by `str.format()`)
-    to format the tick.  The field formatting must be labeled `x`.
+    Use a new-style format string (as used by `str.format`) to format the tick.
+
+    The field used for the tick value must be labeled *x* and the field used
+    for the tick position must be labeled *pos*.
+
+    The formatter will respect :rc:`axes.unicode_minus` when formatting
+    negative numeric values.
+
+    It is typically unnecessary to explicitly construct `.StrMethodFormatter`
+    objects, as `~.Axis.set_major_formatter` directly accepts the format string
+    itself.
     """
+
     def __init__(self, fmt):
         self.fmt = fmt
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
-        return self.fmt.format(x=x)
+        """
+        Return the formatted label string.
 
+        *x* and *pos* are passed to `str.format` as keyword arguments
+        with those exact names.
+        """
+        return _UnicodeMinusFormat().format(self.fmt, x=x, pos=pos)
 
-class OldScalarFormatter(Formatter):
-    """
-    Tick location is a plain old number.
+
+class ScalarFormatter(Formatter):
     """
+    Format tick values as a number.
 
-    def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
-        xmin, xmax = self.axis.get_view_interval()
-        d = abs(xmax - xmin)
+    Parameters
+    ----------
+    useOffset : bool or float, default: :rc:`axes.formatter.useoffset`
+        Whether to use offset notation. See `.set_useOffset`.
+    useMathText : bool, default: :rc:`axes.formatter.use_mathtext`
+        Whether to use fancy math formatting. See `.set_useMathText`.
+    useLocale : bool, default: :rc:`axes.formatter.use_locale`.
+        Whether to use locale settings for decimal sign and positive sign.
+        See `.set_useLocale`.
+    usetex : bool, default: :rc:`text.usetex`
+        To enable/disable the use of TeX's math mode for rendering the
+        numbers in the formatter.
 
-        return self.pprint_val(x, d)
+        .. versionadded:: 3.10
 
-    def pprint_val(self, x, d):
-        #if the number is not too big and it's an int, format it as an
-        #int
-        if abs(x) < 1e4 and x == int(x):
-            return '%d' % x
+    Notes
+    -----
+    In addition to the parameters above, the formatting of scientific vs.
+    floating point representation can be configured via `.set_scientific`
+    and `.set_powerlimits`).
 
-        if d < 1e-2:
-            fmt = '%1.3e'
-        elif d < 1e-1:
-            fmt = '%1.3f'
-        elif d > 1e5:
-            fmt = '%1.1e'
-        elif d > 10:
-            fmt = '%1.1f'
-        elif d > 1:
-            fmt = '%1.2f'
-        else:
-            fmt = '%1.3f'
-        s = fmt % x
-        #print d, x, fmt, s
-        tup = s.split('e')
-        if len(tup) == 2:
-            mantissa = tup[0].rstrip('0').rstrip('.')
-            sign = tup[1][0].replace('+', '')
-            exponent = tup[1][1:].lstrip('0')
-            s = '%se%s%s' % (mantissa, sign, exponent)
-        else:
-            s = s.rstrip('0').rstrip('.')
-        return s
+    **Offset notation and scientific notation**
 
+    Offset notation and scientific notation look quite similar at first sight.
+    Both split some information from the formatted tick values and display it
+    at the end of the axis.
 
-class ScalarFormatter(Formatter):
-    """
-    Tick location is a plain old number.  If useOffset==True and the data range
-    is much smaller than the data average, then an offset will be determined
-    such that the tick labels are meaningful. Scientific notation is used for
-    data < 10^-n or data >= 10^m, where n and m are the power limits set using
-    set_powerlimits((n,m)). The defaults for these are controlled by the
-    axes.formatter.limits rc parameter.
+    - The scientific notation splits up the order of magnitude, i.e. a
+      multiplicative scaling factor, e.g. ``1e6``.
 
-    """
+    - The offset notation separates an additive constant, e.g. ``+1e6``. The
+      offset notation label is always prefixed with a ``+`` or ``-`` sign
+      and is thus distinguishable from the order of magnitude label.
+
+    The following plot with x limits ``1_000_000`` to ``1_000_010`` illustrates
+    the different formatting. Note the labels at the right edge of the x axis.
 
-    def __init__(self, useOffset=None, useMathText=None, useLocale=None):
-        # useOffset allows plotting small data ranges with large offsets: for
-        # example: [1+1e-9,1+2e-9,1+3e-9] useMathText will render the offset
-        # and scientific notation in mathtext
+    .. plot::
 
-        if useOffset is None:
-            useOffset = rcParams['axes.formatter.useoffset']
+        lim = (1_000_000, 1_000_010)
+
+        fig, (ax1, ax2, ax3) = plt.subplots(3, 1, gridspec_kw={'hspace': 2})
+        ax1.set(title='offset notation', xlim=lim)
+        ax2.set(title='scientific notation', xlim=lim)
+        ax2.xaxis.get_major_formatter().set_useOffset(False)
+        ax3.set(title='floating-point notation', xlim=lim)
+        ax3.xaxis.get_major_formatter().set_useOffset(False)
+        ax3.xaxis.get_major_formatter().set_scientific(False)
+
+    """
+
+    def __init__(self, useOffset=None, useMathText=None, useLocale=None, *,
+                 usetex=None):
+        useOffset = mpl._val_or_rc(useOffset, 'axes.formatter.useoffset')
+        self._offset_threshold = mpl.rcParams['axes.formatter.offset_threshold']
         self.set_useOffset(useOffset)
-        self._usetex = rcParams['text.usetex']
-        if useMathText is None:
-            useMathText = rcParams['axes.formatter.use_mathtext']
-        self._useMathText = useMathText
+        self.set_usetex(usetex)
+        self.set_useMathText(useMathText)
         self.orderOfMagnitude = 0
         self.format = ''
         self._scientific = True
-        self._powerlimits = rcParams['axes.formatter.limits']
-        if useLocale is None:
-            useLocale = rcParams['axes.formatter.use_locale']
-        self._useLocale = useLocale
+        self._powerlimits = mpl.rcParams['axes.formatter.limits']
+        self.set_useLocale(useLocale)
+
+    def get_usetex(self):
+        """Return whether TeX's math mode is enabled for rendering."""
+        return self._usetex
+
+    def set_usetex(self, val):
+        """Set whether to use TeX's math mode for rendering numbers in the formatter."""
+        self._usetex = mpl._val_or_rc(val, 'text.usetex')
+
+    usetex = property(fget=get_usetex, fset=set_usetex)
 
     def get_useOffset(self):
+        """
+        Return whether automatic mode for offset notation is active.
+
+        This returns True if ``set_useOffset(True)``; it returns False if an
+        explicit offset was set, e.g. ``set_useOffset(1000)``.
+
+        See Also
+        --------
+        ScalarFormatter.set_useOffset
+        """
         return self._useOffset
 
     def set_useOffset(self, val):
-        if val in [True, False]:
+        """
+        Set whether to use offset notation.
+
+        When formatting a set numbers whose value is large compared to their
+        range, the formatter can separate an additive constant. This can
+        shorten the formatted numbers so that they are less likely to overlap
+        when drawn on an axis.
+
+        Parameters
+        ----------
+        val : bool or float
+            - If False, do not use offset notation.
+            - If True (=automatic mode), use offset notation if it can make
+              the residual numbers significantly shorter. The exact behavior
+              is controlled by :rc:`axes.formatter.offset_threshold`.
+            - If a number, force an offset of the given value.
+
+        Examples
+        --------
+        With active offset notation, the values
+
+        ``100_000, 100_002, 100_004, 100_006, 100_008``
+
+        will be formatted as ``0, 2, 4, 6, 8`` plus an offset ``+1e5``, which
+        is written to the edge of the axis.
+        """
+        if isinstance(val, bool):
             self.offset = 0
             self._useOffset = val
         else:
@@ -421,70 +522,192 @@ def set_useOffset(self, val):
     useOffset = property(fget=get_useOffset, fset=set_useOffset)
 
     def get_useLocale(self):
+        """
+        Return whether locale settings are used for formatting.
+
+        See Also
+        --------
+        ScalarFormatter.set_useLocale
+        """
         return self._useLocale
 
     def set_useLocale(self, val):
-        if val is None:
-            self._useLocale = rcParams['axes.formatter.use_locale']
-        else:
-            self._useLocale = val
+        """
+        Set whether to use locale settings for decimal sign and positive sign.
+
+        Parameters
+        ----------
+        val : bool or None
+            *None* resets to :rc:`axes.formatter.use_locale`.
+        """
+        self._useLocale = mpl._val_or_rc(val, 'axes.formatter.use_locale')
 
     useLocale = property(fget=get_useLocale, fset=set_useLocale)
 
-    def fix_minus(self, s):
-        """use a unicode minus rather than hyphen"""
-        if rcParams['text.usetex'] or not rcParams['axes.unicode_minus']:
-            return s
+    def _format_maybe_minus_and_locale(self, fmt, arg):
+        """
+        Format *arg* with *fmt*, applying Unicode minus and locale if desired.
+        """
+        return self.fix_minus(
+                # Escape commas introduced by locale.format_string if using math text,
+                # but not those present from the beginning in fmt.
+                (",".join(locale.format_string(part, (arg,), True).replace(",", "{,}")
+                          for part in fmt.split(",")) if self._useMathText
+                 else locale.format_string(fmt, (arg,), True))
+                if self._useLocale
+                else fmt % arg)
+
+    def get_useMathText(self):
+        """
+        Return whether to use fancy math formatting.
+
+        See Also
+        --------
+        ScalarFormatter.set_useMathText
+        """
+        return self._useMathText
+
+    def set_useMathText(self, val):
+        r"""
+        Set whether to use fancy math formatting.
+
+        If active, scientific notation is formatted as :math:`1.2 \times 10^3`.
+
+        Parameters
+        ----------
+        val : bool or None
+            *None* resets to :rc:`axes.formatter.use_mathtext`.
+        """
+        if val is None:
+            self._useMathText = mpl.rcParams['axes.formatter.use_mathtext']
+            if self._useMathText is False:
+                try:
+                    from matplotlib import font_manager
+                    ufont = font_manager.findfont(
+                        font_manager.FontProperties(
+                            family=mpl.rcParams["font.family"]
+                        ),
+                        fallback_to_default=False,
+                    )
+                except ValueError:
+                    ufont = None
+
+                if ufont == str(cbook._get_data_path("fonts/ttf/cmr10.ttf")):
+                    _api.warn_external(
+                        "cmr10 font should ideally be used with "
+                        "mathtext, set axes.formatter.use_mathtext to True"
+                    )
         else:
-            return s.replace('-', '\u2212')
+            self._useMathText = val
+
+    useMathText = property(fget=get_useMathText, fset=set_useMathText)
 
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        """
+        Return the format for tick value *x* at position *pos*.
+        """
         if len(self.locs) == 0:
             return ''
         else:
-            s = self.pprint_val(x)
-            return self.fix_minus(s)
+            xp = (x - self.offset) / (10. ** self.orderOfMagnitude)
+            if abs(xp) < 1e-8:
+                xp = 0
+            return self._format_maybe_minus_and_locale(self.format, xp)
 
     def set_scientific(self, b):
-        '''True or False to turn scientific notation on or off
-        see also :meth:`set_powerlimits`
-        '''
+        """
+        Turn scientific notation on or off.
+
+        See Also
+        --------
+        ScalarFormatter.set_powerlimits
+        """
         self._scientific = bool(b)
 
     def set_powerlimits(self, lims):
-        '''
-        Sets size thresholds for scientific notation.
-
-        e.g., ``formatter.set_powerlimits((-3, 4))`` sets the pre-2007 default
-        in which scientific notation is used for numbers less than 1e-3 or
-        greater than 1e4.
-        See also :meth:`set_scientific`.
-        '''
-        assert len(lims) == 2, "argument must be a sequence of length 2"
+        r"""
+        Set size thresholds for scientific notation.
+
+        Parameters
+        ----------
+        lims : (int, int)
+            A tuple *(min_exp, max_exp)* containing the powers of 10 that
+            determine the switchover threshold. For a number representable as
+            :math:`a \times 10^\mathrm{exp}` with :math:`1 <= |a| < 10`,
+            scientific notation will be used if ``exp <= min_exp`` or
+            ``exp >= max_exp``.
+
+            The default limits are controlled by :rc:`axes.formatter.limits`.
+
+            In particular numbers with *exp* equal to the thresholds are
+            written in scientific notation.
+
+            Typically, *min_exp* will be negative and *max_exp* will be
+            positive.
+
+            For example, ``formatter.set_powerlimits((-3, 4))`` will provide
+            the following formatting:
+            :math:`1 \times 10^{-3}, 9.9 \times 10^{-3}, 0.01,`
+            :math:`9999, 1 \times 10^4`.
+
+        See Also
+        --------
+        ScalarFormatter.set_scientific
+        """
+        if len(lims) != 2:
+            raise ValueError("'lims' must be a sequence of length 2")
         self._powerlimits = lims
 
     def format_data_short(self, value):
-        """return a short formatted string representation of a number"""
-        if self._useLocale:
-            return locale.format_string('%-12g', (value,))
+        # docstring inherited
+        if value is np.ma.masked:
+            return ""
+        if isinstance(value, Integral):
+            fmt = "%d"
         else:
-            return '%-12g' % value
+            if getattr(self.axis, "__name__", "") in ["xaxis", "yaxis"]:
+                if self.axis.__name__ == "xaxis":
+                    axis_trf = self.axis.axes.get_xaxis_transform()
+                    axis_inv_trf = axis_trf.inverted()
+                    screen_xy = axis_trf.transform((value, 0))
+                    neighbor_values = axis_inv_trf.transform(
+                        screen_xy + [[-1, 0], [+1, 0]])[:, 0]
+                else:  # yaxis:
+                    axis_trf = self.axis.axes.get_yaxis_transform()
+                    axis_inv_trf = axis_trf.inverted()
+                    screen_xy = axis_trf.transform((0, value))
+                    neighbor_values = axis_inv_trf.transform(
+                        screen_xy + [[0, -1], [0, +1]])[:, 1]
+                delta = abs(neighbor_values - value).max()
+            else:
+                # Rough approximation: no more than 1e4 divisions.
+                a, b = self.axis.get_view_interval()
+                delta = (b - a) / 1e4
+            fmt = f"%-#.{cbook._g_sig_digits(value, delta)}g"
+        return self._format_maybe_minus_and_locale(fmt, value)
 
     def format_data(self, value):
-        'return a formatted string representation of a number'
-        if self._useLocale:
-            s = locale.format_string('%1.10e', (value,))
+        # docstring inherited
+        e = math.floor(math.log10(abs(value)))
+        s = round(value / 10**e, 10)
+        significand = self._format_maybe_minus_and_locale(
+            "%d" if s % 1 == 0 else "%1.10g", s)
+        if e == 0:
+            return significand
+        exponent = self._format_maybe_minus_and_locale("%d", e)
+        if self._useMathText or self._usetex:
+            exponent = "10^{%s}" % exponent
+            return (exponent if s == 1  # reformat 1x10^y as 10^y
+                    else rf"{significand} \times {exponent}")
         else:
-            s = '%1.10e' % value
-        s = self._formatSciNotation(s)
-        return self.fix_minus(s)
+            return f"{significand}e{exponent}"
 
     def get_offset(self):
-        """Return scientific notation, plus offset"""
+        """
+        Return scientific notation, plus offset.
+        """
         if len(self.locs) == 0:
             return ''
-        s = ''
         if self.orderOfMagnitude or self.offset:
             offsetStr = ''
             sciNotStr = ''
@@ -497,67 +720,86 @@ def get_offset(self):
                     sciNotStr = self.format_data(10 ** self.orderOfMagnitude)
                 else:
                     sciNotStr = '1e%d' % self.orderOfMagnitude
-            if self._useMathText:
+            if self._useMathText or self._usetex:
                 if sciNotStr != '':
                     sciNotStr = r'\times\mathdefault{%s}' % sciNotStr
-                s = ''.join(('$', sciNotStr,
-                             r'\mathdefault{', offsetStr, '}$'))
-            elif self._usetex:
-                if sciNotStr != '':
-                    sciNotStr = r'\times%s' % sciNotStr
-                s = ''.join(('$', sciNotStr, offsetStr, '$'))
+                s = fr'${sciNotStr}\mathdefault{{{offsetStr}}}$'
             else:
                 s = ''.join((sciNotStr, offsetStr))
-
-        return self.fix_minus(s)
+            return self.fix_minus(s)
+        return ''
 
     def set_locs(self, locs):
-        'set the locations of the ticks'
+        # docstring inherited
         self.locs = locs
         if len(self.locs) > 0:
-            vmin, vmax = self.axis.get_view_interval()
-            d = abs(vmax - vmin)
             if self._useOffset:
-                self._set_offset(d)
-            self._set_orderOfMagnitude(d)
-            self._set_format(vmin, vmax)
+                self._compute_offset()
+            self._set_order_of_magnitude()
+            self._set_format()
 
-    def _set_offset(self, range):
-        # offset of 20,001 is 20,000, for example
+    def _compute_offset(self):
         locs = self.locs
-
-        if locs is None or not len(locs) or range == 0:
+        # Restrict to visible ticks.
+        vmin, vmax = sorted(self.axis.get_view_interval())
+        locs = np.asarray(locs)
+        locs = locs[(vmin <= locs) & (locs <= vmax)]
+        if not len(locs):
             self.offset = 0
             return
-        ave_loc = np.mean(locs)
-        if ave_loc:  # dont want to take log10(0)
-            ave_oom = math.floor(math.log10(np.mean(np.absolute(locs))))
-            range_oom = math.floor(math.log10(range))
-
-            if np.absolute(ave_oom - range_oom) >= 3:  # four sig-figs
-                p10 = 10 ** range_oom
-                if ave_loc < 0:
-                    self.offset = (math.ceil(np.max(locs) / p10) * p10)
-                else:
-                    self.offset = (math.floor(np.min(locs) / p10) * p10)
-            else:
-                self.offset = 0
-
-    def _set_orderOfMagnitude(self, range):
+        lmin, lmax = locs.min(), locs.max()
+        # Only use offset if there are at least two ticks and every tick has
+        # the same sign.
+        if lmin == lmax or lmin <= 0 <= lmax:
+            self.offset = 0
+            return
+        # min, max comparing absolute values (we want division to round towards
+        # zero so we work on absolute values).
+        abs_min, abs_max = sorted([abs(float(lmin)), abs(float(lmax))])
+        sign = math.copysign(1, lmin)
+        # What is the smallest power of ten such that abs_min and abs_max are
+        # equal up to that precision?
+        # Note: Internally using oom instead of 10 ** oom avoids some numerical
+        # accuracy issues.
+        oom_max = np.ceil(math.log10(abs_max))
+        oom = 1 + next(oom for oom in itertools.count(oom_max, -1)
+                       if abs_min // 10 ** oom != abs_max // 10 ** oom)
+        if (abs_max - abs_min) / 10 ** oom <= 1e-2:
+            # Handle the case of straddling a multiple of a large power of ten
+            # (relative to the span).
+            # What is the smallest power of ten such that abs_min and abs_max
+            # are no more than 1 apart at that precision?
+            oom = 1 + next(oom for oom in itertools.count(oom_max, -1)
+                           if abs_max // 10 ** oom - abs_min // 10 ** oom > 1)
+        # Only use offset if it saves at least _offset_threshold digits.
+        n = self._offset_threshold - 1
+        self.offset = (sign * (abs_max // 10 ** oom) * 10 ** oom
+                       if abs_max // 10 ** oom >= 10**n
+                       else 0)
+
+    def _set_order_of_magnitude(self):
         # if scientific notation is to be used, find the appropriate exponent
-        # if using an numerical offset, find the exponent after applying the
-        # offset
+        # if using a numerical offset, find the exponent after applying the
+        # offset. When lower power limit = upper <> 0, use provided exponent.
         if not self._scientific:
             self.orderOfMagnitude = 0
             return
-        locs = np.absolute(self.locs)
+        if self._powerlimits[0] == self._powerlimits[1] != 0:
+            # fixed scaling when lower power limit = upper <> 0.
+            self.orderOfMagnitude = self._powerlimits[0]
+            return
+        # restrict to visible ticks
+        vmin, vmax = sorted(self.axis.get_view_interval())
+        locs = np.asarray(self.locs)
+        locs = locs[(vmin <= locs) & (locs <= vmax)]
+        locs = np.abs(locs)
+        if not len(locs):
+            self.orderOfMagnitude = 0
+            return
         if self.offset:
-            oom = math.floor(math.log10(range))
+            oom = math.floor(math.log10(vmax - vmin))
         else:
-            if locs[0] > locs[-1]:
-                val = locs[0]
-            else:
-                val = locs[-1]
+            val = locs.max()
             if val == 0:
                 oom = 0
             else:
@@ -569,15 +811,21 @@ def _set_orderOfMagnitude(self, range):
         else:
             self.orderOfMagnitude = 0
 
-    def _set_format(self, vmin, vmax):
+    def _set_format(self):
         # set the format string to format all the ticklabels
         if len(self.locs) < 2:
             # Temporarily augment the locations with the axis end points.
-            _locs = list(self.locs) + [vmin, vmax]
+            _locs = [*self.locs, *self.axis.get_view_interval()]
         else:
             _locs = self.locs
         locs = (np.asarray(_locs) - self.offset) / 10. ** self.orderOfMagnitude
         loc_range = np.ptp(locs)
+        # Curvilinear coordinates can yield two identical points.
+        if loc_range == 0:
+            loc_range = np.max(np.abs(locs))
+        # Both points might be zero.
+        if loc_range == 0:
+            loc_range = 1
         if len(self.locs) < 2:
             # We needed the end points only for the loc_range calculation.
             locs = locs[:-2]
@@ -592,135 +840,225 @@ def _set_format(self, vmin, vmax):
             else:
                 break
         sigfigs += 1
-        self.format = '%1.' + str(sigfigs) + 'f'
-        if self._usetex:
-            self.format = '$%s$' % self.format
-        elif self._useMathText:
-            self.format = '$\mathdefault{%s}$' % self.format
-
-    def pprint_val(self, x):
-        xp = (x - self.offset) / (10. ** self.orderOfMagnitude)
-        if np.absolute(xp) < 1e-8:
-            xp = 0
-        if self._useLocale:
-            return locale.format_string(self.format, (xp,))
-        else:
-            return self.format % xp
-
-    def _formatSciNotation(self, s):
-        # transform 1e+004 into 1e4, for example
-        if self._useLocale:
-            decimal_point = locale.localeconv()['decimal_point']
-            positive_sign = locale.localeconv()['positive_sign']
-        else:
-            decimal_point = '.'
-            positive_sign = '+'
-        tup = s.split('e')
-        try:
-            significand = tup[0].rstrip('0').rstrip(decimal_point)
-            sign = tup[1][0].replace(positive_sign, '')
-            exponent = tup[1][1:].lstrip('0')
-            if self._useMathText or self._usetex:
-                if significand == '1' and exponent != '':
-                    # reformat 1x10^y as 10^y
-                    significand = ''
-                if exponent:
-                    exponent = '10^{%s%s}' % (sign, exponent)
-                if significand and exponent:
-                    return r'%s{\times}%s' % (significand, exponent)
-                else:
-                    return r'%s%s' % (significand, exponent)
-            else:
-                s = ('%se%s%s' % (significand, sign, exponent)).rstrip('e')
-                return s
-        except IndexError:
-            return s
+        self.format = f'%1.{sigfigs}f'
+        if self._usetex or self._useMathText:
+            self.format = r'$\mathdefault{%s}$' % self.format
 
 
 class LogFormatter(Formatter):
     """
-    Format values for log axis;
-
+    Base class for formatting ticks on a log or symlog scale.
+
+    It may be instantiated directly, or subclassed.
+
+    Parameters
+    ----------
+    base : float, default: 10.
+        Base of the logarithm used in all calculations.
+
+    labelOnlyBase : bool, default: False
+        If True, label ticks only at integer powers of base.
+        This is normally True for major ticks and False for minor ticks.
+
+    minor_thresholds : (subset, all), default: (1, 0.4)
+        If labelOnlyBase is False, these two numbers control
+        the labeling of ticks that are not at integer powers of
+        base; normally these are the minor ticks.
+
+        The first number (*subset*) is the largest number of major ticks for
+        which minor ticks are labeled; e.g., the default, 1, means that minor
+        ticks are labeled as long as there is no more than 1 major tick.  (It
+        is assumed that major ticks are at integer powers of *base*.)
+
+        The second number (*all*) is a threshold, in log-units of the axis
+        limit range, over which only a subset of the minor ticks are labeled,
+        so as to avoid crowding; e.g., with the default value (0.4) and the
+        usual ``base=10``, all minor ticks are shown only if the axis limit
+        range spans less than 0.4 decades.
+
+    linthresh : None or float, default: None
+        If a symmetric log scale is in use, its ``linthresh``
+        parameter must be supplied here.
+
+    Notes
+    -----
+    The `set_locs` method must be called to enable the subsetting
+    logic controlled by the ``minor_thresholds`` parameter.
+
+    In some cases such as the colorbar, there is no distinction between
+    major and minor ticks; the tick locations might be set manually,
+    or by a locator that puts ticks at integer powers of base and
+    at intermediate locations.  For this situation, disable the
+    minor_thresholds logic by using ``minor_thresholds=(np.inf, np.inf)``,
+    so that all ticks will be labeled.
+
+    To disable labeling of minor ticks when 'labelOnlyBase' is False,
+    use ``minor_thresholds=(0, 0)``.  This is the default for the
+    "classic" style.
+
+    Examples
+    --------
+    To label a subset of minor ticks when there are up to 2 major ticks,
+    and all of the ticks when zoomed in to 0.5 decades or less, use
+    ``minor_thresholds=(2, 0.5)``.
     """
-    def __init__(self, base=10.0, labelOnlyBase=True):
+
+    def __init__(self, base=10.0, labelOnlyBase=False,
+                 minor_thresholds=None,
+                 linthresh=None):
+
+        self.set_base(base)
+        self.set_label_minor(labelOnlyBase)
+        if minor_thresholds is None:
+            if mpl.rcParams['_internal.classic_mode']:
+                minor_thresholds = (0, 0)
+            else:
+                minor_thresholds = (1, 0.4)
+        self.minor_thresholds = minor_thresholds
+        self._sublabels = None
+        self._linthresh = linthresh
+
+    def set_base(self, base):
         """
-        *base* is used to locate the decade tick,
-        which will be the only one to be labeled if *labelOnlyBase*
-        is ``False``
+        Change the *base* for labeling.
+
+        .. warning::
+           Should always match the base used for :class:`LogLocator`
         """
-        self._base = base + 0.0
-        self.labelOnlyBase = labelOnlyBase
+        self._base = float(base)
 
-    def base(self, base):
-        """change the *base* for labeling - warning: should always match the
-           base used for :class:`LogLocator`"""
-        self._base = base
+    def set_label_minor(self, labelOnlyBase):
+        """
+        Switch minor tick labeling on or off.
 
-    def label_minor(self, labelOnlyBase):
-        'switch on/off minor ticks labeling'
+        Parameters
+        ----------
+        labelOnlyBase : bool
+            If True, label ticks only at integer powers of base.
+        """
         self.labelOnlyBase = labelOnlyBase
 
-    def __call__(self, x, pos=None):
-        """Return the format for tick val *x* at position *pos*"""
+    def set_locs(self, locs=None):
+        """
+        Use axis view limits to control which ticks are labeled.
+
+        The *locs* parameter is ignored in the present algorithm.
+        """
+        if np.isinf(self.minor_thresholds[0]):
+            self._sublabels = None
+            return
+
+        # Handle symlog case:
+        linthresh = self._linthresh
+        if linthresh is None:
+            try:
+                linthresh = self.axis.get_transform().linthresh
+            except AttributeError:
+                pass
+
         vmin, vmax = self.axis.get_view_interval()
-        d = abs(vmax - vmin)
+        if vmin > vmax:
+            vmin, vmax = vmax, vmin
+
+        if linthresh is None and vmin <= 0:
+            # It's probably a colorbar with
+            # a format kwarg setting a LogFormatter in the manner
+            # that worked with 1.5.x, but that doesn't work now.
+            self._sublabels = {1}  # label powers of base
+            return
+
         b = self._base
-        if x == 0.0:
+
+        if linthresh is not None:  # symlog
+            # Only count ticks and decades in the logarithmic part of the axis.
+            numdec = numticks = 0
+            if vmin < -linthresh:
+                rhs = min(vmax, -linthresh)
+                numticks += (
+                    math.floor(math.log(abs(rhs), b))
+                    - math.floor(math.nextafter(math.log(abs(vmin), b), -math.inf)))
+                numdec += math.log(vmin / rhs, b)
+            if vmax > linthresh:
+                lhs = max(vmin, linthresh)
+                numticks += (
+                    math.floor(math.log(vmax, b))
+                    - math.floor(math.nextafter(math.log(lhs, b), -math.inf)))
+                numdec += math.log(vmax / lhs, b)
+        else:
+            lmin = math.log(vmin, b)
+            lmax = math.log(vmax, b)
+            # The nextafter call handles the case where vmin is exactly at a
+            # decade (e.g. there's one major tick between 1 and 5).
+            numticks = (math.floor(lmax)
+                        - math.floor(math.nextafter(lmin, -math.inf)))
+            numdec = abs(lmax - lmin)
+
+        if numticks > self.minor_thresholds[0]:
+            # Label only bases
+            self._sublabels = {1}
+        elif numdec > self.minor_thresholds[1]:
+            # Add labels between bases at log-spaced coefficients;
+            # include base powers in case the locations include
+            # "major" and "minor" points, as in colorbar.
+            c = np.geomspace(1, b, int(b)//2 + 1)
+            self._sublabels = set(np.round(c))
+            # For base 10, this yields (1, 2, 3, 4, 6, 10).
+        else:
+            # Label all integer multiples of base**n.
+            self._sublabels = set(np.arange(1, b + 1))
+
+    def _num_to_string(self, x, vmin, vmax):
+        return self._pprint_val(x, vmax - vmin) if 1 <= x <= 10000 else f"{x:1.0e}"
+
+    def __call__(self, x, pos=None):
+        # docstring inherited
+        if x == 0.0:  # Symlog
             return '0'
-        sign = np.sign(x)
+
+        x = abs(x)
+        b = self._base
         # only label the decades
-        fx = math.log(abs(x)) / math.log(b)
-        isDecade = is_close_to_int(fx)
-        if not isDecade and self.labelOnlyBase:
-            s = ''
-        elif x > 10000:
-            s = '%1.0e' % x
-        elif x < 1:
-            s = '%1.0e' % x
-        else:
-            s = self.pprint_val(x, d)
-        if sign == -1:
-            s = '-%s' % s
+        fx = math.log(x) / math.log(b)
+        is_x_decade = _is_close_to_int(fx)
+        exponent = round(fx) if is_x_decade else np.floor(fx)
+        coeff = round(b ** (fx - exponent))
+
+        if self.labelOnlyBase and not is_x_decade:
+            return ''
+        if self._sublabels is not None and coeff not in self._sublabels:
+            return ''
 
+        vmin, vmax = self.axis.get_view_interval()
+        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
+        s = self._num_to_string(x, vmin, vmax)
         return self.fix_minus(s)
 
     def format_data(self, value):
-        b = self.labelOnlyBase
-        self.labelOnlyBase = False
-        value = cbook.strip_math(self.__call__(value))
-        self.labelOnlyBase = b
-        return value
+        with cbook._setattr_cm(self, labelOnlyBase=False):
+            return cbook.strip_math(self.__call__(value))
 
     def format_data_short(self, value):
-        'return a short formatted string representation of a number'
-        return '%-12g' % value
+        # docstring inherited
+        return ('%-12g' % value).rstrip()
 
-    def pprint_val(self, x, d):
-        #if the number is not too big and it's an int, format it as an
-        #int
+    def _pprint_val(self, x, d):
+        # If the number is not too big and it's an int, format it as an int.
         if abs(x) < 1e4 and x == int(x):
             return '%d' % x
-
-        if d < 1e-2:
-            fmt = '%1.3e'
-        elif d < 1e-1:
-            fmt = '%1.3f'
-        elif d > 1e5:
-            fmt = '%1.1e'
-        elif d > 10:
-            fmt = '%1.1f'
-        elif d > 1:
-            fmt = '%1.2f'
-        else:
-            fmt = '%1.3f'
+        fmt = ('%1.3e' if d < 1e-2 else
+               '%1.3f' if d <= 1 else
+               '%1.2f' if d <= 10 else
+               '%1.1f' if d <= 1e5 else
+               '%1.1e')
         s = fmt % x
-        #print d, x, fmt, s
         tup = s.split('e')
         if len(tup) == 2:
             mantissa = tup[0].rstrip('0').rstrip('.')
-            sign = tup[1][0].replace('+', '')
-            exponent = tup[1][1:].lstrip('0')
-            s = '%se%s%s' % (mantissa, sign, exponent)
+            exponent = int(tup[1])
+            if exponent:
+                s = '%se%d' % (mantissa, exponent)
+            else:
+                s = mantissa
         else:
             s = s.rstrip('0').rstrip('.')
         return s
@@ -728,57 +1066,50 @@ def pprint_val(self, x, d):
 
 class LogFormatterExponent(LogFormatter):
     """
-    Format values for log axis; using ``exponent = log_base(value)``
+    Format values for log axis using ``exponent = log_base(value)``.
     """
 
-    def __call__(self, x, pos=None):
-        """Return the format for tick val *x* at position *pos*"""
-
-        vmin, vmax = self.axis.get_view_interval()
-        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
-        d = abs(vmax - vmin)
-        b = self._base
-        if x == 0:
-            return '0'
-        sign = np.sign(x)
-        # only label the decades
-        fx = math.log(abs(x)) / math.log(b)
-        isDecade = is_close_to_int(fx)
-        if not isDecade and self.labelOnlyBase:
-            s = ''
-        elif abs(fx) > 10000:
-            s = '%1.0g' % fx
-        elif abs(fx) < 1:
-            s = '%1.0g' % fx
+    def _num_to_string(self, x, vmin, vmax):
+        fx = math.log(x) / math.log(self._base)
+        if 1 <= abs(fx) <= 10000:
+            fd = math.log(vmax - vmin) / math.log(self._base)
+            s = self._pprint_val(fx, fd)
         else:
-            s = self.pprint_val(fx, d)
-        if sign == -1:
-            s = '-%s' % s
-
-        return self.fix_minus(s)
+            s = f"{fx:1.0g}"
+        return s
 
 
 class LogFormatterMathtext(LogFormatter):
     """
-    Format values for log axis; using ``exponent = log_base(value)``
+    Format values for log axis using ``exponent = log_base(value)``.
     """
 
+    def _non_decade_format(self, sign_string, base, fx, usetex):
+        """Return string for non-decade locations."""
+        return r'$\mathdefault{%s%s^{%.2f}}$' % (sign_string, base, fx)
+
     def __call__(self, x, pos=None):
-        'Return the format for tick val *x* at position *pos*'
+        # docstring inherited
+        if x == 0:  # Symlog
+            return r'$\mathdefault{0}$'
+
+        sign_string = '-' if x < 0 else ''
+        x = abs(x)
         b = self._base
-        usetex = rcParams['text.usetex']
 
         # only label the decades
-        if x == 0:
-            if usetex:
-                return '$0$'
-            else:
-                return '$\mathdefault{0}$'
+        fx = math.log(x) / math.log(b)
+        is_x_decade = _is_close_to_int(fx)
+        exponent = round(fx) if is_x_decade else np.floor(fx)
+        coeff = round(b ** (fx - exponent))
 
-        fx = math.log(abs(x)) / math.log(b)
-        is_decade = is_close_to_int(fx)
+        if self.labelOnlyBase and not is_x_decade:
+            return ''
+        if self._sublabels is not None and coeff not in self._sublabels:
+            return ''
 
-        sign_string = '-' if x < 0 else ''
+        if is_x_decade:
+            fx = round(fx)
 
         # use string formatting of the base if it is not an integer
         if b % 1 == 0.0:
@@ -786,45 +1117,244 @@ def __call__(self, x, pos=None):
         else:
             base = '%s' % b
 
-        if not is_decade and self.labelOnlyBase:
-            return ''
-        elif not is_decade:
-            if usetex:
-                return (r'$%s%s^{%.2f}$') % \
-                                            (sign_string, base, fx)
-            else:
-                return ('$\mathdefault{%s%s^{%.2f}}$') % \
-                                            (sign_string, base, fx)
+        if abs(fx) < mpl.rcParams['axes.formatter.min_exponent']:
+            return r'$\mathdefault{%s%g}$' % (sign_string, x)
+        elif not is_x_decade:
+            usetex = mpl.rcParams['text.usetex']
+            return self._non_decade_format(sign_string, base, fx, usetex)
         else:
-            if usetex:
-                return (r'$%s%s^{%d}$') % (sign_string,
-                                           base,
-                                           nearest_long(fx))
-            else:
-                return (r'$\mathdefault{%s%s^{%d}}$') % (sign_string,
-                                                         base,
-                                                         nearest_long(fx))
+            return r'$\mathdefault{%s%s^{%d}}$' % (sign_string, base, fx)
+
+
+class LogFormatterSciNotation(LogFormatterMathtext):
+    """
+    Format values following scientific notation in a logarithmic axis.
+    """
 
+    def _non_decade_format(self, sign_string, base, fx, usetex):
+        """Return string for non-decade locations."""
+        b = float(base)
+        exponent = math.floor(fx)
+        coeff = b ** (fx - exponent)
+        if _is_close_to_int(coeff):
+            coeff = round(coeff)
+        return r'$\mathdefault{%s%g\times%s^{%d}}$' \
+            % (sign_string, coeff, base, exponent)
 
-class EngFormatter(Formatter):
+
+class LogitFormatter(Formatter):
     """
-    Formats axis values using engineering prefixes to represent powers of 1000,
-    plus a specified unit, e.g., 10 MHz instead of 1e7.
+    Probability formatter (using Math text).
     """
 
-    # the unicode for -6 is the greek letter mu
-    # commeted here due to bug in pep8
-    # (https://github.com/jcrocholl/pep8/issues/271)
+    def __init__(
+        self,
+        *,
+        use_overline=False,
+        one_half=r"\frac{1}{2}",
+        minor=False,
+        minor_threshold=25,
+        minor_number=6,
+    ):
+        r"""
+        Parameters
+        ----------
+        use_overline : bool, default: False
+            If x > 1/2, with x = 1 - v, indicate if x should be displayed as
+            $\overline{v}$. The default is to display $1 - v$.
+
+        one_half : str, default: r"\\frac{1}{2}"
+            The string used to represent 1/2.
+
+        minor : bool, default: False
+            Indicate if the formatter is formatting minor ticks or not.
+            Basically minor ticks are not labelled, except when only few ticks
+            are provided, ticks with most space with neighbor ticks are
+            labelled. See other parameters to change the default behavior.
+
+        minor_threshold : int, default: 25
+            Maximum number of locs for labelling some minor ticks. This
+            parameter have no effect if minor is False.
+
+        minor_number : int, default: 6
+            Number of ticks which are labelled when the number of ticks is
+            below the threshold.
+        """
+        self._use_overline = use_overline
+        self._one_half = one_half
+        self._minor = minor
+        self._labelled = set()
+        self._minor_threshold = minor_threshold
+        self._minor_number = minor_number
+
+    def use_overline(self, use_overline):
+        r"""
+        Switch display mode with overline for labelling p>1/2.
+
+        Parameters
+        ----------
+        use_overline : bool
+            If x > 1/2, with x = 1 - v, indicate if x should be displayed as
+            $\overline{v}$. The default is to display $1 - v$.
+        """
+        self._use_overline = use_overline
+
+    def set_one_half(self, one_half):
+        r"""
+        Set the way one half is displayed.
+
+        one_half : str
+            The string used to represent 1/2.
+        """
+        self._one_half = one_half
+
+    def set_minor_threshold(self, minor_threshold):
+        """
+        Set the threshold for labelling minors ticks.
+
+        Parameters
+        ----------
+        minor_threshold : int
+            Maximum number of locations for labelling some minor ticks. This
+            parameter have no effect if minor is False.
+        """
+        self._minor_threshold = minor_threshold
+
+    def set_minor_number(self, minor_number):
+        """
+        Set the number of minor ticks to label when some minor ticks are
+        labelled.
+
+        Parameters
+        ----------
+        minor_number : int
+            Number of ticks which are labelled when the number of ticks is
+            below the threshold.
+        """
+        self._minor_number = minor_number
+
+    def set_locs(self, locs):
+        self.locs = np.array(locs)
+        self._labelled.clear()
+
+        if not self._minor:
+            return None
+        if all(
+            _is_decade(x, rtol=1e-7)
+            or _is_decade(1 - x, rtol=1e-7)
+            or (_is_close_to_int(2 * x) and
+                int(np.round(2 * x)) == 1)
+            for x in locs
+        ):
+            # minor ticks are subsample from ideal, so no label
+            return None
+        if len(locs) < self._minor_threshold:
+            if len(locs) < self._minor_number:
+                self._labelled.update(locs)
+            else:
+                # we do not have a lot of minor ticks, so only few decades are
+                # displayed, then we choose some (spaced) minor ticks to label.
+                # Only minor ticks are known, we assume it is sufficient to
+                # choice which ticks are displayed.
+                # For each ticks we compute the distance between the ticks and
+                # the previous, and between the ticks and the next one. Ticks
+                # with smallest minimum are chosen. As tiebreak, the ticks
+                # with smallest sum is chosen.
+                diff = np.diff(-np.log(1 / self.locs - 1))
+                space_pessimistic = np.minimum(
+                    np.concatenate(((np.inf,), diff)),
+                    np.concatenate((diff, (np.inf,))),
+                )
+                space_sum = (
+                    np.concatenate(((0,), diff))
+                    + np.concatenate((diff, (0,)))
+                )
+                good_minor = sorted(
+                    range(len(self.locs)),
+                    key=lambda i: (space_pessimistic[i], space_sum[i]),
+                )[-self._minor_number:]
+                self._labelled.update(locs[i] for i in good_minor)
+
+    def _format_value(self, x, locs, sci_notation=True):
+        if sci_notation:
+            exponent = math.floor(np.log10(x))
+            min_precision = 0
+        else:
+            exponent = 0
+            min_precision = 1
+        value = x * 10 ** (-exponent)
+        if len(locs) < 2:
+            precision = min_precision
+        else:
+            diff = np.sort(np.abs(locs - x))[1]
+            precision = -np.log10(diff) + exponent
+            precision = (
+                int(np.round(precision))
+                if _is_close_to_int(precision)
+                else math.ceil(precision)
+            )
+            if precision < min_precision:
+                precision = min_precision
+        mantissa = r"%.*f" % (precision, value)
+        if not sci_notation:
+            return mantissa
+        s = r"%s\cdot10^{%d}" % (mantissa, exponent)
+        return s
+
+    def _one_minus(self, s):
+        if self._use_overline:
+            return r"\overline{%s}" % s
+        else:
+            return f"1-{s}"
+
+    def __call__(self, x, pos=None):
+        if self._minor and x not in self._labelled:
+            return ""
+        if x <= 0 or x >= 1:
+            return ""
+        if _is_close_to_int(2 * x) and round(2 * x) == 1:
+            s = self._one_half
+        elif x < 0.5 and _is_decade(x, rtol=1e-7):
+            exponent = round(math.log10(x))
+            s = "10^{%d}" % exponent
+        elif x > 0.5 and _is_decade(1 - x, rtol=1e-7):
+            exponent = round(math.log10(1 - x))
+            s = self._one_minus("10^{%d}" % exponent)
+        elif x < 0.1:
+            s = self._format_value(x, self.locs)
+        elif x > 0.9:
+            s = self._one_minus(self._format_value(1-x, 1-self.locs))
+        else:
+            s = self._format_value(x, self.locs, sci_notation=False)
+        return r"$\mathdefault{%s}$" % s
+
+    def format_data_short(self, value):
+        # docstring inherited
+        # Thresholds chosen to use scientific notation iff exponent <= -2.
+        if value < 0.1:
+            return f"{value:e}"
+        if value < 0.9:
+            return f"{value:f}"
+        return f"1-{1 - value:e}"
+
+
+class EngFormatter(ScalarFormatter):
+    """
+    Format axis values using engineering prefixes to represent powers
+    of 1000, plus a specified unit, e.g., 10 MHz instead of 1e7.
+    """
 
     # The SI engineering prefixes
     ENG_PREFIXES = {
+        -30: "q",
+        -27: "r",
         -24: "y",
         -21: "z",
         -18: "a",
         -15: "f",
         -12: "p",
          -9: "n",
-         -6: "\u03bc",
+         -6: "\N{MICRO SIGN}",
          -3: "m",
           0: "",
           3: "k",
@@ -834,76 +1364,300 @@ class EngFormatter(Formatter):
          15: "P",
          18: "E",
          21: "Z",
-         24: "Y"
+         24: "Y",
+         27: "R",
+         30: "Q"
     }
 
-    def __init__(self, unit="", places=None):
+    def __init__(self, unit="", places=None, sep=" ", *, usetex=None,
+                 useMathText=None, useOffset=False):
+        r"""
+        Parameters
+        ----------
+        unit : str, default: ""
+            Unit symbol to use, suitable for use with single-letter
+            representations of powers of 1000. For example, 'Hz' or 'm'.
+
+        places : int, default: None
+            Precision with which to display the number, specified in
+            digits after the decimal point (there will be between one
+            and three digits before the decimal point). If it is None,
+            the formatting falls back to the floating point format '%g',
+            which displays up to 6 *significant* digits, i.e. the equivalent
+            value for *places* varies between 0 and 5 (inclusive).
+
+        sep : str, default: " "
+            Separator used between the value and the prefix/unit. For
+            example, one get '3.14 mV' if ``sep`` is " " (default) and
+            '3.14mV' if ``sep`` is "". Besides the default behavior, some
+            other useful options may be:
+
+            * ``sep=""`` to append directly the prefix/unit to the value;
+            * ``sep="\N{THIN SPACE}"`` (``U+2009``);
+            * ``sep="\N{NARROW NO-BREAK SPACE}"`` (``U+202F``);
+            * ``sep="\N{NO-BREAK SPACE}"`` (``U+00A0``).
+
+        usetex : bool, default: :rc:`text.usetex`
+            To enable/disable the use of TeX's math mode for rendering the
+            numbers in the formatter.
+
+        useMathText : bool, default: :rc:`axes.formatter.use_mathtext`
+            To enable/disable the use mathtext for rendering the numbers in
+            the formatter.
+        useOffset : bool or float, default: False
+            Whether to use offset notation with :math:`10^{3*N}` based prefixes.
+            This features allows showing an offset with standard SI order of
+            magnitude prefix near the axis. Offset is computed similarly to
+            how `ScalarFormatter` computes it internally, but here you are
+            guaranteed to get an offset which will make the tick labels exceed
+            3 digits. See also `.set_useOffset`.
+
+            .. versionadded:: 3.10
+        """
         self.unit = unit
         self.places = places
+        self.sep = sep
+        super().__init__(
+            useOffset=useOffset,
+            useMathText=useMathText,
+            useLocale=False,
+            usetex=usetex,
+        )
 
     def __call__(self, x, pos=None):
-        s = "%s%s" % (self.format_eng(x), self.unit)
-        return self.fix_minus(s)
+        """
+        Return the format for tick value *x* at position *pos*.
+
+        If there is no currently offset in the data, it returns the best
+        engineering formatting that fits the given argument, independently.
+        """
+        if len(self.locs) == 0 or self.offset == 0:
+            return self.fix_minus(self.format_data(x))
+        else:
+            xp = (x - self.offset) / (10. ** self.orderOfMagnitude)
+            if abs(xp) < 1e-8:
+                xp = 0
+            return self._format_maybe_minus_and_locale(self.format, xp)
+
+    def set_locs(self, locs):
+        # docstring inherited
+        self.locs = locs
+        if len(self.locs) > 0:
+            vmin, vmax = sorted(self.axis.get_view_interval())
+            if self._useOffset:
+                self._compute_offset()
+                if self.offset != 0:
+                    # We don't want to use the offset computed by
+                    # self._compute_offset because it rounds the offset unaware
+                    # of our engineering prefixes preference, and this can
+                    # cause ticks with 4+ digits to appear. These ticks are
+                    # slightly less readable, so if offset is justified
+                    # (decided by self._compute_offset) we set it to better
+                    # value:
+                    self.offset = round((vmin + vmax)/2, 3)
+            # Use log1000 to use engineers' oom standards
+            self.orderOfMagnitude = math.floor(math.log(vmax - vmin, 1000))*3
+            self._set_format()
+
+    # Simplify a bit ScalarFormatter.get_offset: We always want to use
+    # self.format_data. Also we want to return a non-empty string only if there
+    # is an offset, no matter what is self.orderOfMagnitude. If there _is_ an
+    # offset, self.orderOfMagnitude is consulted. This behavior is verified
+    # in `test_ticker.py`.
+    def get_offset(self):
+        # docstring inherited
+        if len(self.locs) == 0:
+            return ''
+        if self.offset:
+            offsetStr = ''
+            if self.offset:
+                offsetStr = self.format_data(self.offset)
+                if self.offset > 0:
+                    offsetStr = '+' + offsetStr
+            sciNotStr = self.format_data(10 ** self.orderOfMagnitude)
+            if self._useMathText or self._usetex:
+                if sciNotStr != '':
+                    sciNotStr = r'\times%s' % sciNotStr
+                s = f'${sciNotStr}{offsetStr}$'
+            else:
+                s = sciNotStr + offsetStr
+            return self.fix_minus(s)
+        return ''
 
     def format_eng(self, num):
-        """ Formats a number in engineering notation, appending a letter
-        representing the power of 1000 of the original number. Some examples:
+        """Alias to EngFormatter.format_data"""
+        return self.format_data(num)
 
-        >>> format_eng(0)       # for self.places = 0
+    def format_data(self, value):
+        """
+        Format a number in engineering notation, appending a letter
+        representing the power of 1000 of the original number.
+        Some examples:
+
+        >>> format_data(0)        # for self.places = 0
         '0'
 
-        >>> format_eng(1000000) # for self.places = 1
+        >>> format_data(1000000)  # for self.places = 1
         '1.0 M'
 
-        >>> format_eng("-1e-6") # for self.places = 2
-        u'-1.00 \u03bc'
-
-        @param num: the value to represent
-        @type num: either a numeric value or a string that can be converted to
-                   a numeric value (as per decimal.Decimal constructor)
-
-        @return: engineering formatted string
+        >>> format_data(-1e-6)  # for self.places = 2
+        '-1.00 \N{MICRO SIGN}'
         """
-
-        dnum = decimal.Decimal(str(num))
-
         sign = 1
+        fmt = "g" if self.places is None else f".{self.places:d}f"
 
-        if dnum < 0:
+        if value < 0:
             sign = -1
-            dnum = -dnum
+            value = -value
 
-        if dnum != 0:
-            pow10 = decimal.Decimal(int(math.floor(dnum.log10() / 3) * 3))
+        if value != 0:
+            pow10 = int(math.floor(math.log10(value) / 3) * 3)
+        else:
+            pow10 = 0
+            # Force value to zero, to avoid inconsistencies like
+            # format_eng(-0) = "0" and format_eng(0.0) = "0"
+            # but format_eng(-0.0) = "-0.0"
+            value = 0.0
+
+        pow10 = np.clip(pow10, min(self.ENG_PREFIXES), max(self.ENG_PREFIXES))
+
+        mant = sign * value / (10.0 ** pow10)
+        # Taking care of the cases like 999.9..., which may be rounded to 1000
+        # instead of 1 k.  Beware of the corner case of values that are beyond
+        # the range of SI prefixes (i.e. > 'Y').
+        if (abs(float(format(mant, fmt))) >= 1000
+                and pow10 < max(self.ENG_PREFIXES)):
+            mant /= 1000
+            pow10 += 3
+
+        unit_prefix = self.ENG_PREFIXES[int(pow10)]
+        if self.unit or unit_prefix:
+            suffix = f"{self.sep}{unit_prefix}{self.unit}"
+        else:
+            suffix = ""
+        if self._usetex or self._useMathText:
+            return f"${mant:{fmt}}${suffix}"
         else:
-            pow10 = decimal.Decimal(0)
+            return f"{mant:{fmt}}{suffix}"
 
-        pow10 = pow10.min(max(self.ENG_PREFIXES.keys()))
-        pow10 = pow10.max(min(self.ENG_PREFIXES.keys()))
 
-        prefix = self.ENG_PREFIXES[int(pow10)]
+class PercentFormatter(Formatter):
+    """
+    Format numbers as a percentage.
+
+    Parameters
+    ----------
+    xmax : float
+        Determines how the number is converted into a percentage.
+        *xmax* is the data value that corresponds to 100%.
+        Percentages are computed as ``x / xmax * 100``. So if the data is
+        already scaled to be percentages, *xmax* will be 100. Another common
+        situation is where *xmax* is 1.0.
+
+    decimals : None or int
+        The number of decimal places to place after the point.
+        If *None* (the default), the number will be computed automatically.
+
+    symbol : str or None
+        A string that will be appended to the label. It may be
+        *None* or empty to indicate that no symbol should be used. LaTeX
+        special characters are escaped in *symbol* whenever latex mode is
+        enabled, unless *is_latex* is *True*.
+
+    is_latex : bool
+        If *False*, reserved LaTeX characters in *symbol* will be escaped.
+    """
+    def __init__(self, xmax=100, decimals=None, symbol='%', is_latex=False):
+        self.xmax = xmax + 0.0
+        self.decimals = decimals
+        self._symbol = symbol
+        self._is_latex = is_latex
+
+    def __call__(self, x, pos=None):
+        """Format the tick as a percentage with the appropriate scaling."""
+        ax_min, ax_max = self.axis.get_view_interval()
+        display_range = abs(ax_max - ax_min)
+        return self.fix_minus(self.format_pct(x, display_range))
+
+    def format_pct(self, x, display_range):
+        """
+        Format the number as a percentage number with the correct
+        number of decimals and adds the percent symbol, if any.
+
+        If ``self.decimals`` is `None`, the number of digits after the
+        decimal point is set based on the *display_range* of the axis
+        as follows:
+
+        ============= ======== =======================
+        display_range decimals sample
+        ============= ======== =======================
+        >50           0        ``x = 34.5`` => 35%
+        >5            1        ``x = 34.5`` => 34.5%
+        >0.5          2        ``x = 34.5`` => 34.50%
+        ...           ...      ...
+        ============= ======== =======================
+
+        This method will not be very good for tiny axis ranges or
+        extremely large ones. It assumes that the values on the chart
+        are percentages displayed on a reasonable scale.
+        """
+        x = self.convert_to_pct(x)
+        if self.decimals is None:
+            # conversion works because display_range is a difference
+            scaled_range = self.convert_to_pct(display_range)
+            if scaled_range <= 0:
+                decimals = 0
+            else:
+                # Luckily Python's built-in ceil rounds to +inf, not away from
+                # zero. This is very important since the equation for decimals
+                # starts out as `scaled_range > 0.5 * 10**(2 - decimals)`
+                # and ends up with `decimals > 2 - log10(2 * scaled_range)`.
+                decimals = math.ceil(2.0 - math.log10(2.0 * scaled_range))
+                if decimals > 5:
+                    decimals = 5
+                elif decimals < 0:
+                    decimals = 0
+        else:
+            decimals = self.decimals
+        s = f'{x:0.{int(decimals)}f}'
 
-        mant = sign * dnum / (10 ** pow10)
+        return s + self.symbol
 
-        if self.places is None:
-            format_str = "%g %s"
-        elif self.places == 0:
-            format_str = "%i %s"
-        elif self.places > 0:
-            format_str = ("%%.%if %%s" % self.places)
+    def convert_to_pct(self, x):
+        return 100.0 * (x / self.xmax)
 
-        formatted = format_str % (mant, prefix)
+    @property
+    def symbol(self):
+        r"""
+        The configured percent symbol as a string.
 
-        return formatted.strip()
+        If LaTeX is enabled via :rc:`text.usetex`, the special characters
+        ``{'#', '$', '%', '&', '~', '_', '^', '\', '{', '}'}`` are
+        automatically escaped in the string.
+        """
+        symbol = self._symbol
+        if not symbol:
+            symbol = ''
+        elif not self._is_latex and mpl.rcParams['text.usetex']:
+            # Source: http://www.personal.ceu.hu/tex/specchar.htm
+            # Backslash must be first for this to work correctly since
+            # it keeps getting added in
+            for spec in r'\#$%&~_^{}':
+                symbol = symbol.replace(spec, '\\' + spec)
+        return symbol
+
+    @symbol.setter
+    def symbol(self, symbol):
+        self._symbol = symbol
 
 
 class Locator(TickHelper):
     """
-    Determine the tick locations;
+    Determine tick locations.
 
-    Note, you should not use the same locator between different
-    :class:`~matplotlib.axis.Axis` because the locator stores references to
-    the Axis data and view limits
+    Note that the same locator should not be used across multiple
+    `~matplotlib.axis.Axis` because the locator stores references to the Axis
+    data and view limits.
     """
 
     # Some automatic tick locators can generate so many ticks they
@@ -918,89 +1672,95 @@ def tick_values(self, vmin, vmax):
 
         .. note::
             To get tick locations with the vmin and vmax values defined
-            automatically for the associated :attr:`axis` simply call
+            automatically for the associated ``axis`` simply call
             the Locator instance::
 
-                >>> print((type(loc)))
+                >>> print(type(loc))
                 <type 'Locator'>
-                >>> print((loc()))
+                >>> print(loc())
                 [1, 2, 3, 4]
 
         """
         raise NotImplementedError('Derived must override')
 
+    def set_params(self, **kwargs):
+        """
+        Do nothing, and raise a warning. Any locator class not supporting the
+        set_params() function will call this.
+        """
+        _api.warn_external(
+            "'set_params()' not defined for locator of type " +
+            str(type(self)))
+
     def __call__(self):
-        """Return the locations of the ticks"""
+        """Return the locations of the ticks."""
         # note: some locators return data limits, other return view limits,
         # hence there is no *one* interface to call self.tick_values.
         raise NotImplementedError('Derived must override')
 
     def raise_if_exceeds(self, locs):
-        """raise a RuntimeError if Locator attempts to create more than
-           MAXTICKS locs"""
-        if len(locs) >= self.MAXTICKS:
-            msg = ('Locator attempting to generate %d ticks from %s to %s: ' +
-                   'exceeds Locator.MAXTICKS') % (len(locs), locs[0], locs[-1])
-            raise RuntimeError(msg)
+        """
+        Log at WARNING level if *locs* is longer than `Locator.MAXTICKS`.
 
-        return locs
+        This is intended to be called immediately before returning *locs* from
+        ``__call__`` to inform users in case their Locator returns a huge
+        number of ticks, causing Matplotlib to run out of memory.
 
-    def view_limits(self, vmin, vmax):
+        The "strange" name of this method dates back to when it would raise an
+        exception instead of emitting a log.
         """
-        select a scale for the range from vmin to vmax
+        if len(locs) >= self.MAXTICKS:
+            _log.warning(
+                "Locator attempting to generate %s ticks ([%s, ..., %s]), "
+                "which exceeds Locator.MAXTICKS (%s).",
+                len(locs), locs[0], locs[-1], self.MAXTICKS)
+        return locs
 
-        Normally this method is overridden by subclasses to
-        change locator behaviour.
+    def nonsingular(self, v0, v1):
         """
-        return mtransforms.nonsingular(vmin, vmax)
-
-    def autoscale(self):
-        """autoscale the view limits"""
-        return self.view_limits(*self.axis.get_view_interval())
-
-    def pan(self, numsteps):
-        """Pan numticks (can be positive or negative)"""
-        ticks = self()
-        numticks = len(ticks)
-
-        vmin, vmax = self.axis.get_view_interval()
-        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
-        if numticks > 2:
-            step = numsteps * abs(ticks[0] - ticks[1])
-        else:
-            d = abs(vmax - vmin)
-            step = numsteps * d / 6.
+        Adjust a range as needed to avoid singularities.
 
-        vmin += step
-        vmax += step
-        self.axis.set_view_interval(vmin, vmax, ignore=True)
+        This method gets called during autoscaling, with ``(v0, v1)`` set to
+        the data limits on the Axes if the Axes contains any data, or
+        ``(-inf, +inf)`` if not.
 
-    def zoom(self, direction):
-        "Zoom in/out on axis; if direction is >0 zoom in, else zoom out"
+        - If ``v0 == v1`` (possibly up to some floating point slop), this
+          method returns an expanded interval around this value.
+        - If ``(v0, v1) == (-inf, +inf)``, this method returns appropriate
+          default view limits.
+        - Otherwise, ``(v0, v1)`` is returned without modification.
+        """
+        return mtransforms.nonsingular(v0, v1, expander=.05)
 
-        vmin, vmax = self.axis.get_view_interval()
-        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
-        interval = abs(vmax - vmin)
-        step = 0.1 * interval * direction
-        self.axis.set_view_interval(vmin + step, vmax - step, ignore=True)
+    def view_limits(self, vmin, vmax):
+        """
+        Select a scale for the range from vmin to vmax.
 
-    def refresh(self):
-        """refresh internal information based on current lim"""
-        pass
+        Subclasses should override this method to change locator behaviour.
+        """
+        return mtransforms.nonsingular(vmin, vmax)
 
 
 class IndexLocator(Locator):
     """
-    Place a tick on every multiple of some base number of points
-    plotted, e.g., on every 5th point.  It is assumed that you are doing
-    index plotting; i.e., the axis is 0, len(data).  This is mainly
-    useful for x ticks.
+    Place ticks at every nth point plotted.
+
+    IndexLocator assumes index plotting; i.e., that the ticks are placed at integer
+    values in the range between 0 and len(data) inclusive.
     """
+
     def __init__(self, base, offset):
-        'place ticks on the i-th data points where (i-offset)%base==0'
+        """Place ticks every *base* data point, starting at *offset*."""
         self._base = base
         self.offset = offset
 
+    def set_params(self, base=None, offset=None):
+        """Set parameters within this locator"""
+        if base is not None:
+            self._base = base
+        if offset is not None:
+            self.offset = offset
+
     def __call__(self):
         """Return the locations of the ticks"""
         dmin, dmax = self.axis.get_data_interval()
@@ -1012,79 +1772,86 @@ def tick_values(self, vmin, vmax):
 
 
 class FixedLocator(Locator):
-    """
-    Tick locations are fixed.  If nbins is not None,
-    the array of possible positions will be subsampled to
-    keep the number of ticks <= nbins +1.
-    The subsampling will be done so as to include the smallest
-    absolute value; for example, if zero is included in the
-    array of possibilities, then it is guaranteed to be one of
-    the chosen ticks.
+    r"""
+    Place ticks at a set of fixed values.
+
+    If *nbins* is None ticks are placed at all values. Otherwise, the *locs* array of
+    possible positions will be subsampled to keep the number of ticks
+    :math:`\leq nbins + 1`. The subsampling will be done to include the smallest
+    absolute value; for example, if zero is included in the array of possibilities, then
+    it will be included in the chosen ticks.
     """
 
     def __init__(self, locs, nbins=None):
         self.locs = np.asarray(locs)
-        self.nbins = nbins
-        if self.nbins is not None:
-            self.nbins = max(self.nbins, 2)
+        _api.check_shape((None,), locs=self.locs)
+        self.nbins = max(nbins, 2) if nbins is not None else None
+
+    def set_params(self, nbins=None):
+        """Set parameters within this locator."""
+        if nbins is not None:
+            self.nbins = nbins
 
     def __call__(self):
         return self.tick_values(None, None)
 
     def tick_values(self, vmin, vmax):
-        """"
+        """
         Return the locations of the ticks.
 
         .. note::
 
-            Because the values are fixed, vmin and vmax are not used in this
-            method.
-
+            Because the values are fixed, *vmin* and *vmax* are not used.
         """
         if self.nbins is None:
             return self.locs
-        step = max(int(0.99 + len(self.locs) / float(self.nbins)), 1)
+        step = max(int(np.ceil(len(self.locs) / self.nbins)), 1)
         ticks = self.locs[::step]
         for i in range(1, step):
             ticks1 = self.locs[i::step]
-            if np.absolute(ticks1).min() < np.absolute(ticks).min():
+            if np.abs(ticks1).min() < np.abs(ticks).min():
                 ticks = ticks1
         return self.raise_if_exceeds(ticks)
 
 
 class NullLocator(Locator):
     """
-    No ticks
+    Place no ticks.
     """
 
     def __call__(self):
         return self.tick_values(None, None)
 
     def tick_values(self, vmin, vmax):
-        """"
+        """
         Return the locations of the ticks.
 
         .. note::
 
-            Because the values are Null, vmin and vmax are not used in this
-            method.
+            Because there are no ticks, *vmin* and *vmax* are not used.
         """
         return []
 
 
 class LinearLocator(Locator):
     """
-    Determine the tick locations
-
-    The first time this function is called it will try to set the
-    number of ticks to make a nice tick partitioning.  Thereafter the
-    number of ticks will be fixed so that interactive navigation will
-    be nice
+    Place ticks at evenly spaced values.
 
+    The first time this function is called, it will try to set the number of
+    ticks to make a nice tick partitioning.  Thereafter, the number of ticks
+    will be fixed to avoid jumping during interactive navigation.
     """
+
     def __init__(self, numticks=None, presets=None):
         """
-        Use presets to set locs based on lom.  A dict mapping vmin, vmax->locs
+        Parameters
+        ----------
+        numticks : int or None, default None
+            Number of ticks. If None, *numticks* = 11.
+        presets : dict or None, default: None
+            Dictionary mapping ``(vmin, vmax)`` to an array of locations.
+            Overrides *numticks* if there is an entry for the current
+            ``(vmin, vmax)``.
         """
         self.numticks = numticks
         if presets is None:
@@ -1092,33 +1859,41 @@ def __init__(self, numticks=None, presets=None):
         else:
             self.presets = presets
 
+    @property
+    def numticks(self):
+        # Old hard-coded default.
+        return self._numticks if self._numticks is not None else 11
+
+    @numticks.setter
+    def numticks(self, numticks):
+        self._numticks = numticks
+
+    def set_params(self, numticks=None, presets=None):
+        """Set parameters within this locator."""
+        if presets is not None:
+            self.presets = presets
+        if numticks is not None:
+            self.numticks = numticks
+
     def __call__(self):
-        'Return the locations of the ticks'
+        """Return the locations of the ticks."""
         vmin, vmax = self.axis.get_view_interval()
         return self.tick_values(vmin, vmax)
 
     def tick_values(self, vmin, vmax):
         vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
-        if vmax < vmin:
-            vmin, vmax = vmax, vmin
 
         if (vmin, vmax) in self.presets:
             return self.presets[(vmin, vmax)]
 
-        if self.numticks is None:
-            self._set_numticks()
-
         if self.numticks == 0:
             return []
         ticklocs = np.linspace(vmin, vmax, self.numticks)
 
         return self.raise_if_exceeds(ticklocs)
 
-    def _set_numticks(self):
-        self.numticks = 11  # todo; be smart here; this is just for dev
-
     def view_limits(self, vmin, vmax):
-        'Try to choose the view limits intelligently'
+        """Try to choose the view limits intelligently."""
 
         if vmax < vmin:
             vmin, vmax = vmax, vmin
@@ -1127,235 +1902,344 @@ def view_limits(self, vmin, vmax):
             vmin -= 1
             vmax += 1
 
-        exponent, remainder = divmod(math.log10(vmax - vmin), 1)
-
-        if remainder < 0.5:
-            exponent -= 1
-        scale = 10 ** (-exponent)
-        vmin = math.floor(scale * vmin) / scale
-        vmax = math.ceil(scale * vmax) / scale
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            exponent, remainder = divmod(
+                math.log10(vmax - vmin), math.log10(max(self.numticks - 1, 1)))
+            exponent -= (remainder < .5)
+            scale = max(self.numticks - 1, 1) ** (-exponent)
+            vmin = math.floor(scale * vmin) / scale
+            vmax = math.ceil(scale * vmax) / scale
 
         return mtransforms.nonsingular(vmin, vmax)
 
 
-def closeto(x, y):
-    if abs(x - y) < 1e-10:
-        return True
-    else:
-        return False
-
-
-class Base(object):
-    'this solution has some hacks to deal with floating point inaccuracies'
-    def __init__(self, base):
-        assert(base > 0)
-        self._base = base
-
-    def lt(self, x):
-        'return the largest multiple of base < x'
-        d, m = divmod(x, self._base)
-        if closeto(m, 0) and not closeto(m / self._base, 1):
-            return (d - 1) * self._base
-        return d * self._base
-
-    def le(self, x):
-        'return the largest multiple of base <= x'
-        d, m = divmod(x, self._base)
-        if closeto(m / self._base, 1):  # was closeto(m, self._base)
-            #looks like floating point error
-            return (d + 1) * self._base
-        return d * self._base
-
-    def gt(self, x):
-        'return the smallest multiple of base > x'
-        d, m = divmod(x, self._base)
-        if closeto(m / self._base, 1):
-            #looks like floating point error
-            return (d + 2) * self._base
-        return (d + 1) * self._base
-
-    def ge(self, x):
-        'return the smallest multiple of base >= x'
-        d, m = divmod(x, self._base)
-        if closeto(m, 0) and not closeto(m / self._base, 1):
-            return d * self._base
-        return (d + 1) * self._base
-
-    def get_base(self):
-        return self._base
-
-
 class MultipleLocator(Locator):
     """
-    Set a tick on every integer that is multiple of base in the
-    view interval
+    Place ticks at every integer multiple of a base plus an offset.
     """
 
-    def __init__(self, base=1.0):
-        self._base = Base(base)
+    def __init__(self, base=1.0, offset=0.0):
+        """
+        Parameters
+        ----------
+        base : float > 0, default: 1.0
+            Interval between ticks.
+        offset : float, default: 0.0
+            Value added to each multiple of *base*.
+
+            .. versionadded:: 3.8
+        """
+        self._edge = _Edge_integer(base, 0)
+        self._offset = offset
+
+    def set_params(self, base=None, offset=None):
+        """
+        Set parameters within this locator.
+
+        Parameters
+        ----------
+        base : float > 0, optional
+            Interval between ticks.
+        offset : float, optional
+            Value added to each multiple of *base*.
+
+            .. versionadded:: 3.8
+        """
+        if base is not None:
+            self._edge = _Edge_integer(base, 0)
+        if offset is not None:
+            self._offset = offset
 
     def __call__(self):
-        'Return the locations of the ticks'
+        """Return the locations of the ticks."""
         vmin, vmax = self.axis.get_view_interval()
         return self.tick_values(vmin, vmax)
 
     def tick_values(self, vmin, vmax):
         if vmax < vmin:
             vmin, vmax = vmax, vmin
-        vmin = self._base.ge(vmin)
-        base = self._base.get_base()
-        n = (vmax - vmin + 0.001 * base) // base
-        locs = vmin - base + np.arange(n + 3) * base
+        step = self._edge.step
+        vmin -= self._offset
+        vmax -= self._offset
+        vmin = self._edge.ge(vmin) * step
+        n = (vmax - vmin + 0.001 * step) // step
+        locs = vmin - step + np.arange(n + 3) * step + self._offset
         return self.raise_if_exceeds(locs)
 
     def view_limits(self, dmin, dmax):
         """
-        Set the view limits to the nearest multiples of base that
-        contain the data
+        Set the view limits to the nearest tick values that contain the data.
         """
-        vmin = self._base.le(dmin)
-        vmax = self._base.ge(dmax)
-        if vmin == vmax:
-            vmin -= 1
-            vmax += 1
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            vmin = self._edge.le(dmin - self._offset) * self._edge.step + self._offset
+            vmax = self._edge.ge(dmax - self._offset) * self._edge.step + self._offset
+            if vmin == vmax:
+                vmin -= 1
+                vmax += 1
+        else:
+            vmin = dmin
+            vmax = dmax
 
         return mtransforms.nonsingular(vmin, vmax)
 
 
 def scale_range(vmin, vmax, n=1, threshold=100):
-    dv = abs(vmax - vmin)
-    if dv == 0:     # maxabsv == 0 is a special case of this.
-        return 1.0, 0.0
-        # Note: this should never occur because
-        # vmin, vmax should have been checked by nonsingular(),
-        # and spread apart if necessary.
-    meanv = 0.5 * (vmax + vmin)
+    dv = abs(vmax - vmin)  # > 0 as nonsingular is called before.
+    meanv = (vmax + vmin) / 2
     if abs(meanv) / dv < threshold:
         offset = 0
-    elif meanv > 0:
-        ex = divmod(math.log10(meanv), 1)[0]
-        offset = 10 ** ex
     else:
-        ex = divmod(math.log10(-meanv), 1)[0]
-        offset = -10 ** ex
-    ex = divmod(math.log10(dv / n), 1)[0]
-    scale = 10 ** ex
+        offset = math.copysign(10 ** (math.log10(abs(meanv)) // 1), meanv)
+    scale = 10 ** (math.log10(dv / n) // 1)
     return scale, offset
 
 
-class MaxNLocator(Locator):
+class _Edge_integer:
     """
-    Select no more than N intervals at nice locations.
+    Helper for `.MaxNLocator`, `.MultipleLocator`, etc.
+
+    Take floating-point precision limitations into account when calculating
+    tick locations as integer multiples of a step.
     """
-    default_params = dict(nbins=10,
-                          steps=None,
-                          trim=True,
-                          integer=False,
-                          symmetric=False,
-                          prune=None)
 
-    def __init__(self, *args, **kwargs):
+    def __init__(self, step, offset):
         """
-        Keyword args:
+        Parameters
+        ----------
+        step : float > 0
+            Interval between ticks.
+        offset : float
+            Offset subtracted from the data limits prior to calculating tick
+            locations.
+        """
+        if step <= 0:
+            raise ValueError("'step' must be positive")
+        self.step = step
+        self._offset = abs(offset)
+
+    def closeto(self, ms, edge):
+        # Allow more slop when the offset is large compared to the step.
+        if self._offset > 0:
+            digits = np.log10(self._offset / self.step)
+            tol = max(1e-10, 10 ** (digits - 12))
+            tol = min(0.4999, tol)
+        else:
+            tol = 1e-10
+        return abs(ms - edge) < tol
 
-        *nbins*
-            Maximum number of intervals; one less than max number of ticks.
+    def le(self, x):
+        """Return the largest n: n*step <= x."""
+        d, m = divmod(x, self.step)
+        if self.closeto(m / self.step, 1):
+            return d + 1
+        return d
 
-        *steps*
-            Sequence of nice numbers starting with 1 and ending with 10;
-            e.g., [1, 2, 4, 5, 10]
+    def ge(self, x):
+        """Return the smallest n: n*step >= x."""
+        d, m = divmod(x, self.step)
+        if self.closeto(m / self.step, 0):
+            return d
+        return d + 1
 
-        *integer*
-            If True, ticks will take only integer values.
 
-        *symmetric*
-            If True, autoscaling will result in a range symmetric
-            about zero.
+class MaxNLocator(Locator):
+    """
+    Place evenly spaced ticks, with a cap on the total number of ticks.
 
-        *prune*
-            ['lower' | 'upper' | 'both' | None]
-            Remove edge ticks -- useful for stacked or ganged plots
-            where the upper tick of one axes overlaps with the lower
-            tick of the axes above it.
-            If prune=='lower', the smallest tick will
-            be removed.  If prune=='upper', the largest tick will be
-            removed.  If prune=='both', the largest and smallest ticks
-            will be removed.  If prune==None, no ticks will be removed.
+    Finds nice tick locations with no more than :math:`nbins + 1` ticks being within the
+    view limits. Locations beyond the limits are added to support autoscaling.
+    """
+    default_params = dict(nbins=10,
+                          steps=None,
+                          integer=False,
+                          symmetric=False,
+                          prune=None,
+                          min_n_ticks=2)
 
+    def __init__(self, nbins=None, **kwargs):
         """
-        # I left "trim" out; it defaults to True, and it is not
-        # clear that there is any use case for False, so we may
-        # want to remove that kwarg.  EF 2010/04/18
-        if args:
-            kwargs['nbins'] = args[0]
-            if len(args) > 1:
-                raise ValueError(
-                    "Keywords are required for all arguments except 'nbins'")
-        self.set_params(**self.default_params)
-        self.set_params(**kwargs)
+        Parameters
+        ----------
+        nbins : int or 'auto', default: 10
+            Maximum number of intervals; one less than max number of
+            ticks.  If the string 'auto', the number of bins will be
+            automatically determined based on the length of the axis.
+
+        steps : array-like, optional
+            Sequence of acceptable tick multiples, starting with 1 and
+            ending with 10. For example, if ``steps=[1, 2, 4, 5, 10]``,
+            ``20, 40, 60`` or ``0.4, 0.6, 0.8`` would be possible
+            sets of ticks because they are multiples of 2.
+            ``30, 60, 90`` would not be generated because 3 does not
+            appear in this example list of steps.
+
+        integer : bool, default: False
+            If True, ticks will take only integer values, provided at least
+            *min_n_ticks* integers are found within the view limits.
+
+        symmetric : bool, default: False
+            If True, autoscaling will result in a range symmetric about zero.
+
+        prune : {'lower', 'upper', 'both', None}, default: None
+            Remove the 'lower' tick, the 'upper' tick, or ticks on 'both' sides
+            *if they fall exactly on an axis' edge* (this typically occurs when
+            :rc:`axes.autolimit_mode` is 'round_numbers').  Removing such ticks
+            is mostly useful for stacked or ganged plots, where the upper tick
+            of an Axes overlaps with the lower tick of the axes above it.
+
+        min_n_ticks : int, default: 2
+            Relax *nbins* and *integer* constraints if necessary to obtain
+            this minimum number of ticks.
+        """
+        if nbins is not None:
+            kwargs['nbins'] = nbins
+        self.set_params(**{**self.default_params, **kwargs})
+
+    @staticmethod
+    def _validate_steps(steps):
+        if not np.iterable(steps):
+            raise ValueError('steps argument must be an increasing sequence '
+                             'of numbers between 1 and 10 inclusive')
+        steps = np.asarray(steps)
+        if np.any(np.diff(steps) <= 0) or steps[-1] > 10 or steps[0] < 1:
+            raise ValueError('steps argument must be an increasing sequence '
+                             'of numbers between 1 and 10 inclusive')
+        if steps[0] != 1:
+            steps = np.concatenate([[1], steps])
+        if steps[-1] != 10:
+            steps = np.concatenate([steps, [10]])
+        return steps
+
+    @staticmethod
+    def _staircase(steps):
+        # Make an extended staircase within which the needed step will be
+        # found.  This is probably much larger than necessary.
+        return np.concatenate([0.1 * steps[:-1], steps, [10 * steps[1]]])
 
     def set_params(self, **kwargs):
+        """
+        Set parameters for this locator.
+
+        Parameters
+        ----------
+        nbins : int or 'auto', optional
+            see `.MaxNLocator`
+        steps : array-like, optional
+            see `.MaxNLocator`
+        integer : bool, optional
+            see `.MaxNLocator`
+        symmetric : bool, optional
+            see `.MaxNLocator`
+        prune : {'lower', 'upper', 'both', None}, optional
+            see `.MaxNLocator`
+        min_n_ticks : int, optional
+            see `.MaxNLocator`
+        """
         if 'nbins' in kwargs:
-            self._nbins = int(kwargs['nbins'])
-        if 'trim' in kwargs:
-            self._trim = kwargs['trim']
-        if 'integer' in kwargs:
-            self._integer = kwargs['integer']
+            self._nbins = kwargs.pop('nbins')
+            if self._nbins != 'auto':
+                self._nbins = int(self._nbins)
         if 'symmetric' in kwargs:
-            self._symmetric = kwargs['symmetric']
+            self._symmetric = kwargs.pop('symmetric')
         if 'prune' in kwargs:
-            prune = kwargs['prune']
-            if prune is not None and prune not in ['upper', 'lower', 'both']:
-                raise ValueError(
-                    "prune must be 'upper', 'lower', 'both', or None")
+            prune = kwargs.pop('prune')
+            _api.check_in_list(['upper', 'lower', 'both', None], prune=prune)
             self._prune = prune
+        if 'min_n_ticks' in kwargs:
+            self._min_n_ticks = max(1, kwargs.pop('min_n_ticks'))
         if 'steps' in kwargs:
-            steps = kwargs['steps']
+            steps = kwargs.pop('steps')
             if steps is None:
-                self._steps = [1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 10]
+                self._steps = np.array([1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 10])
             else:
-                if int(steps[-1]) != 10:
-                    steps = list(steps)
-                    steps.append(10)
-                self._steps = steps
+                self._steps = self._validate_steps(steps)
+            self._extended_steps = self._staircase(self._steps)
         if 'integer' in kwargs:
-            self._integer = kwargs['integer']
-        if self._integer:
-            self._steps = [n for n in self._steps if divmod(n, 1)[1] < 0.001]
+            self._integer = kwargs.pop('integer')
+        if kwargs:
+            raise _api.kwarg_error("set_params", kwargs)
+
+    def _raw_ticks(self, vmin, vmax):
+        """
+        Generate a list of tick locations including the range *vmin* to
+        *vmax*.  In some applications, one or both of the end locations
+        will not be needed, in which case they are trimmed off
+        elsewhere.
+        """
+        if self._nbins == 'auto':
+            if self.axis is not None:
+                nbins = np.clip(self.axis.get_tick_space(),
+                                max(1, self._min_n_ticks - 1), 9)
+            else:
+                nbins = 9
+        else:
+            nbins = self._nbins
 
-    def bin_boundaries(self, vmin, vmax):
-        nbins = self._nbins
         scale, offset = scale_range(vmin, vmax, nbins)
+        _vmin = vmin - offset
+        _vmax = vmax - offset
+        steps = self._extended_steps * scale
         if self._integer:
-            scale = max(1, scale)
-        vmin = vmin - offset
-        vmax = vmax - offset
-        raw_step = (vmax - vmin) / nbins
-        scaled_raw_step = raw_step / scale
-        best_vmax = vmax
-        best_vmin = vmin
-
-        for step in self._steps:
-            if step < scaled_raw_step:
-                continue
-            step *= scale
-            best_vmin = step * divmod(vmin, step)[0]
-            best_vmax = best_vmin + step * nbins
-            if (best_vmax >= vmax):
+            # For steps > 1, keep only integer values.
+            igood = (steps < 1) | (np.abs(steps - np.round(steps)) < 0.001)
+            steps = steps[igood]
+
+        raw_step = ((_vmax - _vmin) / nbins)
+        if hasattr(self.axis, "axes") and self.axis.axes.name == '3d':
+            # Due to the change in automargin behavior in mpl3.9, we need to
+            # adjust the raw step to match the mpl3.8 appearance. The zoom
+            # factor of 2/48, gives us the 23/24 modifier.
+            raw_step = raw_step * 23/24
+        large_steps = steps >= raw_step
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            # Classic round_numbers mode may require a larger step.
+            # Get first multiple of steps that are <= _vmin
+            floored_vmins = (_vmin // steps) * steps
+            floored_vmaxs = floored_vmins + steps * nbins
+            large_steps = large_steps & (floored_vmaxs >= _vmax)
+
+        # Find index of smallest large step
+        if any(large_steps):
+            istep = np.nonzero(large_steps)[0][0]
+        else:
+            istep = len(steps) - 1
+
+        # Start at smallest of the steps greater than the raw step, and check
+        # if it provides enough ticks. If not, work backwards through
+        # smaller steps until one is found that provides enough ticks.
+        for step in steps[:istep+1][::-1]:
+
+            if (self._integer and
+                    np.floor(_vmax) - np.ceil(_vmin) >= self._min_n_ticks - 1):
+                step = max(1, step)
+            best_vmin = (_vmin // step) * step
+
+            # Find tick locations spanning the vmin-vmax range, taking into
+            # account degradation of precision when there is a large offset.
+            # The edge ticks beyond vmin and/or vmax are needed for the
+            # "round_numbers" autolimit mode.
+            edge = _Edge_integer(step, offset)
+            low = edge.le(_vmin - best_vmin)
+            high = edge.ge(_vmax - best_vmin)
+            ticks = np.arange(low, high + 1) * step + best_vmin
+            # Count only the ticks that will be displayed.
+            nticks = ((ticks <= _vmax) & (ticks >= _vmin)).sum()
+            if nticks >= self._min_n_ticks:
                 break
-        if self._trim:
-            extra_bins = int(divmod((best_vmax - vmax), step)[0])
-            nbins -= extra_bins
-        return (np.arange(nbins + 1) * step + best_vmin + offset)
+        return ticks + offset
 
     def __call__(self):
         vmin, vmax = self.axis.get_view_interval()
         return self.tick_values(vmin, vmax)
 
     def tick_values(self, vmin, vmax):
-        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=1e-13,
-                                                         tiny=1e-14)
-        locs = self.bin_boundaries(vmin, vmax)
+        if self._symmetric:
+            vmax = max(abs(vmin), abs(vmax))
+            vmin = -vmax
+        vmin, vmax = mtransforms.nonsingular(
+            vmin, vmax, expander=1e-13, tiny=1e-14)
+        locs = self._raw_ticks(vmin, vmax)
+
         prune = self._prune
         if prune == 'lower':
             locs = locs[1:]
@@ -1367,204 +2251,374 @@ def tick_values(self, vmin, vmax):
 
     def view_limits(self, dmin, dmax):
         if self._symmetric:
-            maxabs = max(abs(dmin), abs(dmax))
-            dmin = -maxabs
-            dmax = maxabs
-        dmin, dmax = mtransforms.nonsingular(dmin, dmax, expander=1e-12,
-                                                        tiny=1.e-13)
-        return np.take(self.bin_boundaries(dmin, dmax), [0, -1])
+            dmax = max(abs(dmin), abs(dmax))
+            dmin = -dmax
 
+        dmin, dmax = mtransforms.nonsingular(
+            dmin, dmax, expander=1e-12, tiny=1e-13)
 
-def decade_down(x, base=10):
-    'floor x to the nearest lower decade'
-    if x == 0.0:
-        return -base
-    lx = np.floor(np.log(x) / np.log(base))
-    return base ** lx
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            return self._raw_ticks(dmin, dmax)[[0, -1]]
+        else:
+            return dmin, dmax
 
 
-def decade_up(x, base=10):
-    'ceil x to the nearest higher decade'
+def _is_decade(x, *, base=10, rtol=None):
+    """Return True if *x* is an integer power of *base*."""
+    if not np.isfinite(x):
+        return False
     if x == 0.0:
-        return base
-    lx = np.ceil(np.log(x) / np.log(base))
-    return base ** lx
+        return True
+    lx = np.log(abs(x)) / np.log(base)
+    if rtol is None:
+        return np.isclose(lx, np.round(lx))
+    else:
+        return np.isclose(lx, np.round(lx), rtol=rtol)
 
 
-def nearest_long(x):
-    if x == 0:
-        return long(0)
-    elif x > 0:
-        return long(x + 0.5)
-    else:
-        return long(x - 0.5)
+def _decade_less_equal(x, base):
+    """
+    Return the largest integer power of *base* that's less or equal to *x*.
+
+    If *x* is negative, the exponent will be *greater*.
+    """
+    return (x if x == 0 else
+            -_decade_greater_equal(-x, base) if x < 0 else
+            base ** np.floor(np.log(x) / np.log(base)))
 
 
-def is_decade(x, base=10):
-    if not np.isfinite(x):
-        return False
-    if x == 0.0:
-        return True
-    lx = np.log(np.abs(x)) / np.log(base)
-    return is_close_to_int(lx)
+def _decade_greater_equal(x, base):
+    """
+    Return the smallest integer power of *base* that's greater or equal to *x*.
 
+    If *x* is negative, the exponent will be *smaller*.
+    """
+    return (x if x == 0 else
+            -_decade_less_equal(-x, base) if x < 0 else
+            base ** np.ceil(np.log(x) / np.log(base)))
 
-def is_close_to_int(x):
-    if not np.isfinite(x):
-        return False
-    return abs(x - nearest_long(x)) < 1e-10
+
+def _decade_less(x, base):
+    """
+    Return the largest integer power of *base* that's less than *x*.
+
+    If *x* is negative, the exponent will be *greater*.
+    """
+    if x < 0:
+        return -_decade_greater(-x, base)
+    less = _decade_less_equal(x, base)
+    if less == x:
+        less /= base
+    return less
+
+
+def _decade_greater(x, base):
+    """
+    Return the smallest integer power of *base* that's greater than *x*.
+
+    If *x* is negative, the exponent will be *smaller*.
+    """
+    if x < 0:
+        return -_decade_less(-x, base)
+    greater = _decade_greater_equal(x, base)
+    if greater == x:
+        greater *= base
+    return greater
+
+
+def _is_close_to_int(x):
+    return math.isclose(x, round(x))
 
 
 class LogLocator(Locator):
     """
-    Determine the tick locations for log axes
+    Place logarithmically spaced ticks.
+
+    Places ticks at the values ``subs[j] * base**i``.
     """
 
-    def __init__(self, base=10.0, subs=[1.0], numdecs=4, numticks=15):
+    def __init__(self, base=10.0, subs=(1.0,), *, numticks=None):
         """
-        place ticks on the location= base**i*subs[j]
+        Parameters
+        ----------
+        base : float, default: 10.0
+            The base of the log used, so major ticks are placed at ``base**n``, where
+            ``n`` is an integer.
+        subs : None or {'auto', 'all'} or sequence of float, default: (1.0,)
+            Gives the multiples of integer powers of the base at which to place ticks.
+            The default of ``(1.0, )`` places ticks only at integer powers of the base.
+            Permitted string values are ``'auto'`` and ``'all'``. Both of these use an
+            algorithm based on the axis view limits to determine whether and how to put
+            ticks between integer powers of the base:
+            - ``'auto'``: Ticks are placed only between integer powers.
+            - ``'all'``: Ticks are placed between *and* at integer powers.
+            - ``None``: Equivalent to ``'auto'``.
+        numticks : None or int, default: None
+            The maximum number of ticks to allow on a given axis. The default of
+            ``None`` will try to choose intelligently as long as this Locator has
+            already been assigned to an axis using `~.axis.Axis.get_tick_space`, but
+            otherwise falls back to 9.
         """
-        self.base(base)
-        self.subs(subs)
+        if numticks is None:
+            if mpl.rcParams['_internal.classic_mode']:
+                numticks = 15
+            else:
+                numticks = 'auto'
+        self._base = float(base)
+        self._set_subs(subs)
         self.numticks = numticks
-        self.numdecs = numdecs
 
-    def base(self, base):
-        """
-        set the base of the log scaling (major tick every base**i, i integer)
-        """
-        self._base = base + 0.0
+    def set_params(self, base=None, subs=None, *, numticks=None):
+        """Set parameters within this locator."""
+        if base is not None:
+            self._base = float(base)
+        if subs is not None:
+            self._set_subs(subs)
+        if numticks is not None:
+            self.numticks = numticks
 
-    def subs(self, subs):
+    def _set_subs(self, subs):
         """
-        set the minor ticks the log scaling every base**i*subs[j]
+        Set the minor ticks for the log scaling every ``base**i*subs[j]``.
         """
-        if subs is None:
-            self._subs = None  # autosub
+        if subs is None:  # consistency with previous bad API
+            self._subs = 'auto'
+        elif isinstance(subs, str):
+            _api.check_in_list(('all', 'auto'), subs=subs)
+            self._subs = subs
         else:
-            self._subs = np.asarray(subs) + 0.0
+            try:
+                self._subs = np.asarray(subs, dtype=float)
+            except ValueError as e:
+                raise ValueError("subs must be None, 'all', 'auto' or "
+                                 "a sequence of floats, not "
+                                 f"{subs}.") from e
+            if self._subs.ndim != 1:
+                raise ValueError("A sequence passed to subs must be "
+                                 "1-dimensional, not "
+                                 f"{self._subs.ndim}-dimensional.")
 
     def __call__(self):
-        'Return the locations of the ticks'
+        """Return the locations of the ticks."""
         vmin, vmax = self.axis.get_view_interval()
         return self.tick_values(vmin, vmax)
 
-    def tick_values(self, vmin, vmax):
-        b = self._base
-        # dummy axis has no axes attribute
-        if hasattr(self.axis, 'axes') and self.axis.axes.name == 'polar':
-            vmax = math.ceil(math.log(vmax) / math.log(b))
-            decades = np.arange(vmax - self.numdecs, vmax)
-            ticklocs = b ** decades
+    def _log_b(self, x):
+        # Use specialized logs if possible, as they can be more accurate; e.g.
+        # log(.001) / log(10) = -2.999... (whether math.log or np.log) due to
+        # floating point error.
+        return (np.log10(x) if self._base == 10 else
+                np.log2(x) if self._base == 2 else
+                np.log(x) / np.log(self._base))
 
-            return ticklocs
+    def tick_values(self, vmin, vmax):
+        n_request = (
+            self.numticks if self.numticks != "auto" else
+            np.clip(self.axis.get_tick_space(), 2, 9) if self.axis is not None else
+            9)
 
+        b = self._base
         if vmin <= 0.0:
             if self.axis is not None:
                 vmin = self.axis.get_minpos()
 
             if vmin <= 0.0 or not np.isfinite(vmin):
                 raise ValueError(
-                    "Data has no positive values, and therefore can not be "
-                    "log-scaled.")
-
-        vmin = math.log(vmin) / math.log(b)
-        vmax = math.log(vmax) / math.log(b)
+                    "Data has no positive values, and therefore cannot be log-scaled.")
 
         if vmax < vmin:
             vmin, vmax = vmax, vmin
-
-        numdec = math.floor(vmax) - math.ceil(vmin)
-
-        if self._subs is None:  # autosub
-            if numdec > 10:
-                subs = np.array([1.0])
-            elif numdec > 6:
-                subs = np.arange(2.0, b, 2.0)
+        # Min and max exponents, float and int versions; e.g., if vmin=10^0.3,
+        # vmax=10^6.9, then efmin=0.3, emin=1, emax=6, efmax=6.9, n_avail=6.
+        efmin, efmax = self._log_b([vmin, vmax])
+        emin = math.ceil(efmin)
+        emax = math.floor(efmax)
+        n_avail = emax - emin + 1  # Total number of decade ticks available.
+
+        if isinstance(self._subs, str):
+            if n_avail >= 10 or b < 3:
+                if self._subs == 'auto':
+                    return np.array([])  # no minor or major ticks
+                else:
+                    subs = np.array([1.0])  # major ticks
             else:
-                subs = np.arange(2.0, b)
+                _first = 2.0 if self._subs == 'auto' else 1.0
+                subs = np.arange(_first, b)
         else:
             subs = self._subs
 
-        stride = 1
-        while numdec / stride + 1 > self.numticks:
-            stride += 1
-
-        decades = np.arange(math.floor(vmin) - stride,
-                            math.ceil(vmax) + 2 * stride, stride)
-        if hasattr(self, '_transform'):
-            ticklocs = self._transform.inverted().transform(decades)
-            if len(subs) > 1 or (len(subs == 1) and subs[0] != 1.0):
-                ticklocs = np.ravel(np.outer(subs, ticklocs))
+        # Get decades between major ticks.  Include an extra tick outside the
+        # lower and the upper limit: QuadContourSet._autolev relies on this.
+        if mpl.rcParams["_internal.classic_mode"]:  # keep historic formulas
+            stride = max(math.ceil((n_avail - 1) / (n_request - 1)), 1)
+            decades = np.arange(emin - stride, emax + stride + 1, stride)
         else:
-            if len(subs) > 1 or (len(subs == 1) and subs[0] != 1.0):
-                ticklocs = []
-                for decadeStart in b ** decades:
-                    ticklocs.extend(subs * decadeStart)
+            # *Determine the actual number of ticks*: Find the largest number
+            # of ticks, no more than the requested number, that can actually
+            # be drawn (e.g., with 9 decades ticks, no stride yields 7
+            # ticks).  For a given value of the stride *s*, there are either
+            # floor(n_avail/s) or ceil(n_avail/s) ticks depending on the
+            # offset.  Pick the smallest stride such that floor(n_avail/s) <
+            # n_request, i.e. n_avail/s < n_request+1, then re-set n_request
+            # to ceil(...) if acceptable, else to floor(...) (which must then
+            # equal the original n_request, i.e. n_request is kept unchanged).
+            stride = n_avail // (n_request + 1) + 1
+            nr = math.ceil(n_avail / stride)
+            if nr <= n_request:
+                n_request = nr
             else:
-                ticklocs = b ** decades
-
-        return self.raise_if_exceeds(np.asarray(ticklocs))
+                assert nr == n_request + 1
+            if n_request == 0:  # No tick in bounds; two ticks just outside.
+                decades = [emin - 1, emax + 1]
+                stride = decades[1] - decades[0]
+            elif n_request == 1:  # A single tick close to center.
+                mid = round((efmin + efmax) / 2)
+                stride = max(mid - (emin - 1), (emax + 1) - mid)
+                decades = [mid - stride, mid, mid + stride]
+            else:
+                # *Determine the stride*: Pick the largest stride that yields
+                # this actual n_request (e.g., with 15 decades, strides of
+                # 5, 6, or 7 *can* yield 3 ticks; picking a larger stride
+                # minimizes unticked space at the ends).  First try for
+                #     ceil(n_avail/stride) == n_request
+                # i.e.
+                #     n_avail/n_request <= stride < n_avail/(n_request-1)
+                # else fallback to
+                #     floor(n_avail/stride) == n_request
+                # i.e.
+                #     n_avail/(n_request+1) < stride <= n_avail/n_request
+                # One of these cases must have an integer solution (given the
+                # choice of n_request above).
+                stride = (n_avail - 1) // (n_request - 1)
+                if stride < n_avail / n_request:  # fallback to second case
+                    stride = n_avail // n_request
+                # *Determine the offset*: For a given stride *and offset*
+                # (0 <= offset < stride), the actual number of ticks is
+                # ceil((n_avail - offset) / stride), which must be equal to
+                # n_request.  This leads to olo <= offset < ohi, with the
+                # values defined below.
+                olo = max(n_avail - stride * n_request, 0)
+                ohi = min(n_avail - stride * (n_request - 1), stride)
+                # Try to see if we can pick an offset so that ticks are at
+                # integer multiples of the stride while satisfying the bounds
+                # above; if not, fallback to the smallest acceptable offset.
+                offset = (-emin) % stride
+                if not olo <= offset < ohi:
+                    offset = olo
+                decades = range(emin + offset - stride, emax + stride + 1, stride)
+
+        # Guess whether we're a minor locator, based on whether subs include
+        # anything other than 1.
+        is_minor = len(subs) > 1 or (len(subs) == 1 and subs[0] != 1.0)
+        if is_minor:
+            if stride == 1 or n_avail <= 1:
+                # Minor ticks start in the decade preceding the first major tick.
+                ticklocs = np.concatenate([
+                    subs * b**decade for decade in range(emin - 1, emax + 1)])
+            else:
+                ticklocs = np.array([])
+        else:
+            ticklocs = b ** np.array(decades)
+
+        if (len(subs) > 1
+                and stride == 1
+                and ((vmin <= ticklocs) & (ticklocs <= vmax)).sum() <= 1):
+            # If we're a minor locator *that expects at least two ticks per
+            # decade* and the major locator stride is 1 and there's no more
+            # than one minor tick, switch to AutoLocator.
+            return AutoLocator().tick_values(vmin, vmax)
+        else:
+            return self.raise_if_exceeds(ticklocs)
 
     def view_limits(self, vmin, vmax):
-        'Try to choose the view limits intelligently'
+        """Try to choose the view limits intelligently."""
         b = self._base
 
-        if vmax < vmin:
-            vmin, vmax = vmax, vmin
+        vmin, vmax = self.nonsingular(vmin, vmax)
 
-        if self.axis.axes.name == 'polar':
-            vmax = math.ceil(math.log(vmax) / math.log(b))
-            vmin = b ** (vmax - self.numdecs)
-            return vmin, vmax
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            vmin = _decade_less_equal(vmin, b)
+            vmax = _decade_greater_equal(vmax, b)
 
-        minpos = self.axis.get_minpos()
+        return vmin, vmax
 
-        if minpos <= 0 or not np.isfinite(minpos):
-            raise ValueError(
-                "Data has no positive values, and therefore can not be "
+    def nonsingular(self, vmin, vmax):
+        if vmin > vmax:
+            vmin, vmax = vmax, vmin
+        if not np.isfinite(vmin) or not np.isfinite(vmax):
+            vmin, vmax = 1, 10  # Initial range, no data plotted yet.
+        elif vmax <= 0:
+            _api.warn_external(
+                "Data has no positive values, and therefore cannot be "
                 "log-scaled.")
-
-        if vmin <= minpos:
-            vmin = minpos
-
-        if not is_decade(vmin, self._base):
-            vmin = decade_down(vmin, self._base)
-        if not is_decade(vmax, self._base):
-            vmax = decade_up(vmax, self._base)
-
-        if vmin == vmax:
-            vmin = decade_down(vmin, self._base)
-            vmax = decade_up(vmax, self._base)
-        result = mtransforms.nonsingular(vmin, vmax)
-        return result
+            vmin, vmax = 1, 10
+        else:
+            # Consider shared axises
+            minpos = min(axis.get_minpos() for axis in self.axis._get_shared_axis())
+            if not np.isfinite(minpos):
+                minpos = 1e-300  # This should never take effect.
+            if vmin <= 0:
+                vmin = minpos
+            if vmin == vmax:
+                vmin = _decade_less(vmin, self._base)
+                vmax = _decade_greater(vmax, self._base)
+        return vmin, vmax
 
 
 class SymmetricalLogLocator(Locator):
     """
-    Determine the tick locations for log axes
+    Place ticks spaced linearly near zero and spaced logarithmically beyond a threshold.
     """
 
-    def __init__(self, transform, subs=None):
+    def __init__(self, transform=None, subs=None, linthresh=None, base=None):
         """
-        place ticks on the location= base**i*subs[j]
+        Parameters
+        ----------
+        transform : `~.scale.SymmetricalLogTransform`, optional
+            If set, defines the *base* and *linthresh* of the symlog transform.
+        base, linthresh : float, optional
+            The *base* and *linthresh* of the symlog transform, as documented
+            for `.SymmetricalLogScale`.  These parameters are only used if
+            *transform* is not set.
+        subs : sequence of float, default: [1]
+            The multiples of integer powers of the base where ticks are placed,
+            i.e., ticks are placed at
+            ``[sub * base**i for i in ... for sub in subs]``.
+
+        Notes
+        -----
+        Either *transform*, or both *base* and *linthresh*, must be given.
         """
-        self._transform = transform
+        if transform is not None:
+            self._base = transform.base
+            self._linthresh = transform.linthresh
+        elif linthresh is not None and base is not None:
+            self._base = base
+            self._linthresh = linthresh
+        else:
+            raise ValueError("Either transform, or both linthresh "
+                             "and base, must be provided.")
         if subs is None:
             self._subs = [1.0]
         else:
             self._subs = subs
         self.numticks = 15
 
+    def set_params(self, subs=None, numticks=None):
+        """Set parameters within this locator."""
+        if numticks is not None:
+            self.numticks = numticks
+        if subs is not None:
+            self._subs = subs
+
     def __call__(self):
-        'Return the locations of the ticks'
+        """Return the locations of the ticks."""
         # Note, these are untransformed coordinates
         vmin, vmax = self.axis.get_view_interval()
         return self.tick_values(vmin, vmax)
 
     def tick_values(self, vmin, vmax):
-        b = self._transform.base
-        t = self._transform.linthresh
+        linthresh = self._linthresh
 
         if vmax < vmin:
             vmin, vmax = vmax, vmin
@@ -1586,247 +2640,403 @@ def tick_values(self, vmin, vmax):
         # We could also add ticks at t, but that seems to usually be
         # uninteresting.
         #
-        # "simple" mode is when the range falls entirely within (-t,
-        # t) -- it should just display (vmin, 0, vmax)
-
-        has_a = has_b = has_c = False
-        if vmin < -t:
-            has_a = True
-            if vmax > -t:
-                has_b = True
-                if vmax > t:
-                    has_c = True
-        elif vmin < 0:
-            if vmax > 0:
-                has_b = True
-                if vmax > t:
-                    has_c = True
-            else:
-                return [vmin, vmax]
-        elif vmin < t:
-            if vmax > t:
-                has_b = True
-                has_c = True
-            else:
-                return [vmin, vmax]
-        else:
-            has_c = True
+        # "simple" mode is when the range falls entirely within [-t, t]
+        #  -- it should just display (vmin, 0, vmax)
+        if -linthresh <= vmin < vmax <= linthresh:
+            # only the linear range is present
+            return sorted({vmin, 0, vmax})
+
+        # Lower log range is present
+        has_a = (vmin < -linthresh)
+        # Upper log range is present
+        has_c = (vmax > linthresh)
+
+        # Check if linear range is present
+        has_b = (has_a and vmax > -linthresh) or (has_c and vmin < linthresh)
+
+        base = self._base
 
         def get_log_range(lo, hi):
-            lo = np.floor(np.log(lo) / np.log(b))
-            hi = np.ceil(np.log(hi) / np.log(b))
+            lo = np.floor(np.log(lo) / np.log(base))
+            hi = np.ceil(np.log(hi) / np.log(base))
             return lo, hi
 
-        # First, calculate all the ranges, so we can determine striding
+        # Calculate all the ranges, so we can determine striding
+        a_lo, a_hi = (0, 0)
         if has_a:
-            if has_b:
-                a_range = get_log_range(t, -vmin + 1)
-            else:
-                a_range = get_log_range(-vmax, -vmin + 1)
-        else:
-            a_range = (0, 0)
+            a_upper_lim = min(-linthresh, vmax)
+            a_lo, a_hi = get_log_range(abs(a_upper_lim), abs(vmin) + 1)
 
+        c_lo, c_hi = (0, 0)
         if has_c:
-            if has_b:
-                c_range = get_log_range(t, vmax + 1)
-            else:
-                c_range = get_log_range(vmin, vmax + 1)
-        else:
-            c_range = (0, 0)
+            c_lower_lim = max(linthresh, vmin)
+            c_lo, c_hi = get_log_range(c_lower_lim, vmax + 1)
 
-        total_ticks = (a_range[1] - a_range[0]) + (c_range[1] - c_range[0])
+        # Calculate the total number of integer exponents in a and c ranges
+        total_ticks = (a_hi - a_lo) + (c_hi - c_lo)
         if has_b:
             total_ticks += 1
-        stride = max(np.floor(float(total_ticks) / (self.numticks - 1)), 1)
+        stride = max(total_ticks // (self.numticks - 1), 1)
 
         decades = []
         if has_a:
-            decades.extend(-1 * (b ** (np.arange(a_range[0], a_range[1],
-                                                 stride)[::-1])))
+            decades.extend(-1 * (base ** (np.arange(a_lo, a_hi,
+                                                    stride)[::-1])))
 
         if has_b:
             decades.append(0.0)
 
         if has_c:
-            decades.extend(b ** (np.arange(c_range[0], c_range[1], stride)))
+            decades.extend(base ** (np.arange(c_lo, c_hi, stride)))
 
-        # Add the subticks if requested
-        if self._subs is None:
-            subs = np.arange(2.0, b)
-        else:
-            subs = np.asarray(self._subs)
+        subs = np.asarray(self._subs)
 
         if len(subs) > 1 or subs[0] != 1.0:
             ticklocs = []
             for decade in decades:
-                ticklocs.extend(subs * decade)
+                if decade == 0:
+                    ticklocs.append(decade)
+                else:
+                    ticklocs.extend(subs * decade)
         else:
             ticklocs = decades
 
         return self.raise_if_exceeds(np.array(ticklocs))
 
     def view_limits(self, vmin, vmax):
-        'Try to choose the view limits intelligently'
-        b = self._transform.base
+        """Try to choose the view limits intelligently."""
+        b = self._base
         if vmax < vmin:
             vmin, vmax = vmax, vmin
 
-        if not is_decade(abs(vmin), b):
-            if vmin < 0:
-                vmin = -decade_up(-vmin, b)
-            else:
-                vmin = decade_down(vmin, b)
-        if not is_decade(abs(vmax), b):
-            if vmax < 0:
-                vmax = -decade_down(-vmax, b)
-            else:
-                vmax = decade_up(vmax, b)
+        if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
+            vmin = _decade_less_equal(vmin, b)
+            vmax = _decade_greater_equal(vmax, b)
+            if vmin == vmax:
+                vmin = _decade_less(vmin, b)
+                vmax = _decade_greater(vmax, b)
 
-        if vmin == vmax:
-            if vmin < 0:
-                vmin = -decade_up(-vmin, b)
-                vmax = -decade_down(-vmax, b)
-            else:
-                vmin = decade_down(vmin, b)
-                vmax = decade_up(vmax, b)
-        result = mtransforms.nonsingular(vmin, vmax)
-        return result
+        return mtransforms.nonsingular(vmin, vmax)
 
 
-class AutoLocator(MaxNLocator):
-    def __init__(self):
-        MaxNLocator.__init__(self, nbins=9, steps=[1, 2, 5, 10])
+class AsinhLocator(Locator):
+    """
+    Place ticks spaced evenly on an inverse-sinh scale.
 
+    Generally used with the `~.scale.AsinhScale` class.
 
-class AutoMinorLocator(Locator):
-    """
-    Dynamically find minor tick positions based on the positions of
-    major ticks. Assumes the scale is linear and major ticks are
-    evenly spaced.
+    .. note::
+
+       This API is provisional and may be revised in the future
+       based on early user feedback.
     """
-    def __init__(self, n=None):
+    def __init__(self, linear_width, numticks=11, symthresh=0.2,
+                 base=10, subs=None):
         """
-        *n* is the number of subdivisions of the interval between
-        major ticks; e.g., n=2 will place a single minor tick midway
-        between major ticks.
-
-        If *n* is omitted or None, it will be set to 5 or 4.
+        Parameters
+        ----------
+        linear_width : float
+            The scale parameter defining the extent
+            of the quasi-linear region.
+        numticks : int, default: 11
+            The approximate number of major ticks that will fit
+            along the entire axis
+        symthresh : float, default: 0.2
+            The fractional threshold beneath which data which covers
+            a range that is approximately symmetric about zero
+            will have ticks that are exactly symmetric.
+        base : int, default: 10
+            The number base used for rounding tick locations
+            on a logarithmic scale. If this is less than one,
+            then rounding is to the nearest integer multiple
+            of powers of ten.
+        subs : tuple, default: None
+            Multiples of the number base, typically used
+            for the minor ticks, e.g. (2, 5) when base=10.
         """
-        self.ndivs = n
+        super().__init__()
+        self.linear_width = linear_width
+        self.numticks = numticks
+        self.symthresh = symthresh
+        self.base = base
+        self.subs = subs
+
+    def set_params(self, numticks=None, symthresh=None,
+                   base=None, subs=None):
+        """Set parameters within this locator."""
+        if numticks is not None:
+            self.numticks = numticks
+        if symthresh is not None:
+            self.symthresh = symthresh
+        if base is not None:
+            self.base = base
+        if subs is not None:
+            self.subs = subs if len(subs) > 0 else None
 
     def __call__(self):
-        'Return the locations of the ticks'
-        majorlocs = self.axis.get_majorticklocs()
-        try:
-            majorstep = majorlocs[1] - majorlocs[0]
-        except IndexError:
-            # Need at least two major ticks to find minor tick locations
-            # TODO: Figure out a way to still be able to display minor
-            # ticks without two major ticks visible. For now, just display
-            # no ticks at all.
-            majorstep = 0
-
-        if self.ndivs is None:
-            if majorstep == 0:
-                # TODO: Need a better way to figure out ndivs
-                ndivs = 1
-            else:
-                x = int(round(10 ** (np.log10(majorstep) % 1)))
-                if x in [1, 5, 10]:
-                    ndivs = 5
-                else:
-                    ndivs = 4
+        vmin, vmax = self.axis.get_view_interval()
+        if (vmin * vmax) < 0 and abs(1 + vmax / vmin) < self.symthresh:
+            # Data-range appears to be almost symmetric, so round up:
+            bound = max(abs(vmin), abs(vmax))
+            return self.tick_values(-bound, bound)
         else:
-            ndivs = self.ndivs
+            return self.tick_values(vmin, vmax)
 
-        minorstep = majorstep / ndivs
+    def tick_values(self, vmin, vmax):
+        # Construct a set of uniformly-spaced "on-screen" locations.
+        ymin, ymax = self.linear_width * np.arcsinh(np.array([vmin, vmax])
+                                                    / self.linear_width)
+        ys = np.linspace(ymin, ymax, self.numticks)
+        zero_dev = abs(ys / (ymax - ymin))
+        if ymin * ymax < 0:
+            # Ensure that the zero tick-mark is included, if the axis straddles zero.
+            ys = np.hstack([ys[(zero_dev > 0.5 / self.numticks)], 0.0])
+
+        # Transform the "on-screen" grid to the data space:
+        xs = self.linear_width * np.sinh(ys / self.linear_width)
+        zero_xs = (ys == 0)
+
+        # Round the data-space values to be intuitive base-n numbers, keeping track of
+        # positive and negative values separately and carefully treating the zero value.
+        with np.errstate(divide="ignore"):  # base ** log(0) = base ** -inf = 0.
+            if self.base > 1:
+                pows = (np.sign(xs)
+                        * self.base ** np.floor(np.log(abs(xs)) / math.log(self.base)))
+                qs = np.outer(pows, self.subs).flatten() if self.subs else pows
+            else:  # No need to adjust sign(pows), as it cancels out when computing qs.
+                pows = np.where(zero_xs, 1, 10**np.floor(np.log10(abs(xs))))
+                qs = pows * np.round(xs / pows)
+        ticks = np.array(sorted(set(qs)))
+
+        return ticks if len(ticks) >= 2 else np.linspace(vmin, vmax, self.numticks)
+
+
+class LogitLocator(MaxNLocator):
+    """
+    Place ticks spaced evenly on a logit scale.
+    """
 
-        vmin, vmax = self.axis.get_view_interval()
-        if vmin > vmax:
-            vmin, vmax = vmax, vmin
+    def __init__(self, minor=False, *, nbins="auto"):
+        """
+        Parameters
+        ----------
+        nbins : int or 'auto', optional
+            Number of ticks. Only used if minor is False.
+        minor : bool, default: False
+            Indicate if this locator is for minor ticks or not.
+        """
 
-        if len(majorlocs) > 0:
-            t0 = majorlocs[0]
-            tmin = np.ceil((vmin - t0) / minorstep) * minorstep
-            tmax = np.floor((vmax - t0) / minorstep) * minorstep
-            locs = np.arange(tmin, tmax, minorstep) + t0
-            cond = np.abs((locs - t0) % majorstep) > minorstep / 10.0
-            locs = locs.compress(cond)
-        else:
-            locs = []
+        self._minor = minor
+        super().__init__(nbins=nbins, steps=[1, 2, 5, 10])
+
+    def set_params(self, minor=None, **kwargs):
+        """Set parameters within this locator."""
+        if minor is not None:
+            self._minor = minor
+        super().set_params(**kwargs)
 
-        return self.raise_if_exceeds(np.array(locs))
+    @property
+    def minor(self):
+        return self._minor
+
+    @minor.setter
+    def minor(self, value):
+        self.set_params(minor=value)
 
     def tick_values(self, vmin, vmax):
-        raise NotImplementedError('Cannot get tick locations for a '
-                                  '%s type.' % type(self))
+        # dummy axis has no axes attribute
+        if hasattr(self.axis, "axes") and self.axis.axes.name == "polar":
+            raise NotImplementedError("Polar axis cannot be logit scaled yet")
+
+        if self._nbins == "auto":
+            if self.axis is not None:
+                nbins = self.axis.get_tick_space()
+                if nbins < 2:
+                    nbins = 2
+            else:
+                nbins = 9
+        else:
+            nbins = self._nbins
+
+        # We define ideal ticks with their index:
+        # linscale: ... 1e-3 1e-2 1e-1 1/2 1-1e-1 1-1e-2 1-1e-3 ...
+        # b-scale : ... -3   -2   -1   0   1      2      3      ...
+        def ideal_ticks(x):
+            return 10 ** x if x < 0 else 1 - (10 ** (-x)) if x > 0 else 0.5
+
+        vmin, vmax = self.nonsingular(vmin, vmax)
+        binf = int(
+            np.floor(np.log10(vmin))
+            if vmin < 0.5
+            else 0
+            if vmin < 0.9
+            else -np.ceil(np.log10(1 - vmin))
+        )
+        bsup = int(
+            np.ceil(np.log10(vmax))
+            if vmax <= 0.5
+            else 1
+            if vmax <= 0.9
+            else -np.floor(np.log10(1 - vmax))
+        )
+        numideal = bsup - binf - 1
+        if numideal >= 2:
+            # have 2 or more wanted ideal ticks, so use them as major ticks
+            if numideal > nbins:
+                # to many ideal ticks, subsampling ideals for major ticks, and
+                # take others for minor ticks
+                subsampling_factor = math.ceil(numideal / nbins)
+                if self._minor:
+                    ticklocs = [
+                        ideal_ticks(b)
+                        for b in range(binf, bsup + 1)
+                        if (b % subsampling_factor) != 0
+                    ]
+                else:
+                    ticklocs = [
+                        ideal_ticks(b)
+                        for b in range(binf, bsup + 1)
+                        if (b % subsampling_factor) == 0
+                    ]
+                return self.raise_if_exceeds(np.array(ticklocs))
+            if self._minor:
+                ticklocs = []
+                for b in range(binf, bsup):
+                    if b < -1:
+                        ticklocs.extend(np.arange(2, 10) * 10 ** b)
+                    elif b == -1:
+                        ticklocs.extend(np.arange(2, 5) / 10)
+                    elif b == 0:
+                        ticklocs.extend(np.arange(6, 9) / 10)
+                    else:
+                        ticklocs.extend(
+                            1 - np.arange(2, 10)[::-1] * 10 ** (-b - 1)
+                        )
+                return self.raise_if_exceeds(np.array(ticklocs))
+            ticklocs = [ideal_ticks(b) for b in range(binf, bsup + 1)]
+            return self.raise_if_exceeds(np.array(ticklocs))
+        # the scale is zoomed so same ticks as linear scale can be used
+        if self._minor:
+            return []
+        return super().tick_values(vmin, vmax)
+
+    def nonsingular(self, vmin, vmax):
+        standard_minpos = 1e-7
+        initial_range = (standard_minpos, 1 - standard_minpos)
+        if vmin > vmax:
+            vmin, vmax = vmax, vmin
+        if not np.isfinite(vmin) or not np.isfinite(vmax):
+            vmin, vmax = initial_range  # Initial range, no data plotted yet.
+        elif vmax <= 0 or vmin >= 1:
+            # vmax <= 0 occurs when all values are negative
+            # vmin >= 1 occurs when all values are greater than one
+            _api.warn_external(
+                "Data has no values between 0 and 1, and therefore cannot be "
+                "logit-scaled."
+            )
+            vmin, vmax = initial_range
+        else:
+            minpos = (
+                self.axis.get_minpos()
+                if self.axis is not None
+                else standard_minpos
+            )
+            if not np.isfinite(minpos):
+                minpos = standard_minpos  # This should never take effect.
+            if vmin <= 0:
+                vmin = minpos
+            # NOTE: for vmax, we should query a property similar to get_minpos,
+            # but related to the maximal, less-than-one data point.
+            # Unfortunately, Bbox._minpos is defined very deep in the BBox and
+            # updated with data, so for now we use 1 - minpos as a substitute.
+            if vmax >= 1:
+                vmax = 1 - minpos
+            if vmin == vmax:
+                vmin, vmax = 0.1 * vmin, 1 - 0.1 * vmin
+
+        return vmin, vmax
 
 
-class OldAutoLocator(Locator):
+class AutoLocator(MaxNLocator):
     """
-    On autoscale this class picks the best MultipleLocator to set the
-    view limits and the tick locs.
+    Place evenly spaced ticks, with the step size and maximum number of ticks chosen
+    automatically.
 
+    This is a subclass of `~matplotlib.ticker.MaxNLocator`, with parameters
+    *nbins = 'auto'* and *steps = [1, 2, 2.5, 5, 10]*.
     """
     def __init__(self):
-        self._locator = LinearLocator()
-
-    def __call__(self):
-        'Return the locations of the ticks'
-        self.refresh()
-        return self.raise_if_exceeds(self._locator())
+        """
+        To know the values of the non-public parameters, please have a
+        look to the defaults of `~matplotlib.ticker.MaxNLocator`.
+        """
+        if mpl.rcParams['_internal.classic_mode']:
+            nbins = 9
+            steps = [1, 2, 5, 10]
+        else:
+            nbins = 'auto'
+            steps = [1, 2, 2.5, 5, 10]
+        super().__init__(nbins=nbins, steps=steps)
 
-    def tick_values(self, vmin, vmax):
-        raise NotImplementedError('Cannot get tick locations for a '
-                                  '%s type.' % type(self))
 
-    def refresh(self):
-        'refresh internal information based on current lim'
-        vmin, vmax = self.axis.get_view_interval()
-        vmin, vmax = mtransforms.nonsingular(vmin, vmax, expander=0.05)
-        d = abs(vmax - vmin)
-        self._locator = self.get_locator(d)
+class AutoMinorLocator(Locator):
+    """
+    Place evenly spaced minor ticks, with the step size and maximum number of ticks
+    chosen automatically.
 
-    def view_limits(self, vmin, vmax):
-        'Try to choose the view limits intelligently'
+    The Axis must use a linear scale and have evenly spaced major ticks.
+    """
 
-        d = abs(vmax - vmin)
-        self._locator = self.get_locator(d)
-        return self._locator.view_limits(vmin, vmax)
+    def __init__(self, n=None):
+        """
+        Parameters
+        ----------
+        n : int or 'auto', default: :rc:`xtick.minor.ndivs` or :rc:`ytick.minor.ndivs`
+            The number of subdivisions of the interval between major ticks;
+            e.g., n=2 will place a single minor tick midway between major ticks.
+
+            If *n* is 'auto', it will be set to 4 or 5: if the distance
+            between the major ticks equals 1, 2.5, 5 or 10 it can be perfectly
+            divided in 5 equidistant sub-intervals with a length multiple of
+            0.05; otherwise, it is divided in 4 sub-intervals.
+        """
+        self.ndivs = n
 
-    def get_locator(self, d):
-        'pick the best locator based on a distance'
-        d = abs(d)
-        if d <= 0:
-            locator = MultipleLocator(0.2)
-        else:
+    def __call__(self):
+        # docstring inherited
+        if self.axis.get_scale() == 'log':
+            _api.warn_external('AutoMinorLocator does not work on logarithmic scales')
+            return []
 
-            try:
-                ld = math.log10(d)
-            except OverflowError:
-                raise RuntimeError('AutoLocator illegal data interval range')
+        majorlocs = np.unique(self.axis.get_majorticklocs())
+        if len(majorlocs) < 2:
+            # Need at least two major ticks to find minor tick locations.
+            # TODO: Figure out a way to still be able to display minor ticks with less
+            # than two major ticks visible. For now, just display no ticks at all.
+            return []
+        majorstep = majorlocs[1] - majorlocs[0]
 
-            fld = math.floor(ld)
-            base = 10 ** fld
+        if self.ndivs is None:
+            self.ndivs = mpl.rcParams[
+                'ytick.minor.ndivs' if self.axis.axis_name == 'y'
+                else 'xtick.minor.ndivs']  # for x and z axis
 
-            #if ld==fld:  base = 10**(fld-1)
-            #else:        base = 10**fld
+        if self.ndivs == 'auto':
+            majorstep_mantissa = 10 ** (np.log10(majorstep) % 1)
+            ndivs = 5 if np.isclose(majorstep_mantissa, [1, 2.5, 5, 10]).any() else 4
+        else:
+            ndivs = self.ndivs
 
-            if d >= 5 * base:
-                ticksize = base
-            elif d >= 2 * base:
-                ticksize = base / 2.0
-            else:
-                ticksize = base / 5.0
-            locator = MultipleLocator(ticksize)
+        minorstep = majorstep / ndivs
 
-        return locator
+        vmin, vmax = sorted(self.axis.get_view_interval())
+        t0 = majorlocs[0]
+        tmin = round((vmin - t0) / minorstep)
+        tmax = round((vmax - t0) / minorstep) + 1
+        locs = (np.arange(tmin, tmax) * minorstep) + t0
 
+        return self.raise_if_exceeds(locs)
 
-__all__ = ('TickHelper', 'Formatter', 'FixedFormatter',
-           'NullFormatter', 'FuncFormatter', 'FormatStrFormatter',
-           'ScalarFormatter', 'LogFormatter', 'LogFormatterExponent',
-           'LogFormatterMathtext', 'Locator', 'IndexLocator',
-           'FixedLocator', 'NullLocator', 'LinearLocator',
-           'LogLocator', 'AutoLocator', 'MultipleLocator',
-           'MaxNLocator', 'AutoMinorLocator',)
+    def tick_values(self, vmin, vmax):
+        raise NotImplementedError(
+            f"Cannot get tick locations for a {type(self).__name__}")
diff --git a/lib/matplotlib/ticker.pyi b/lib/matplotlib/ticker.pyi
new file mode 100644
index 000000000000..bed288658909
--- /dev/null
+++ b/lib/matplotlib/ticker.pyi
@@ -0,0 +1,308 @@
+from collections.abc import Callable, Sequence
+from typing import Any, Literal
+
+from matplotlib.axis import Axis
+from matplotlib.transforms import Transform
+from matplotlib.projections.polar import _AxisWrapper
+
+import numpy as np
+
+class _DummyAxis:
+    __name__: str
+    def __init__(self, minpos: float = ...) -> None: ...
+    def get_view_interval(self) -> tuple[float, float]: ...
+    def set_view_interval(self, vmin: float, vmax: float) -> None: ...
+    def get_minpos(self) -> float: ...
+    def get_data_interval(self) -> tuple[float, float]: ...
+    def set_data_interval(self, vmin: float, vmax: float) -> None: ...
+    def get_tick_space(self) -> int: ...
+
+class TickHelper:
+    axis: None | Axis | _DummyAxis | _AxisWrapper
+    def set_axis(self, axis: Axis | _DummyAxis | _AxisWrapper | None) -> None: ...
+    def create_dummy_axis(self, **kwargs) -> None: ...
+
+class Formatter(TickHelper):
+    locs: list[float]
+    def __call__(self, x: float, pos: int | None = ...) -> str: ...
+    def format_ticks(self, values: list[float]) -> list[str]: ...
+    def format_data(self, value: float) -> str: ...
+    def format_data_short(self, value: float) -> str: ...
+    def get_offset(self) -> str: ...
+    def set_locs(self, locs: list[float]) -> None: ...
+    @staticmethod
+    def fix_minus(s: str) -> str: ...
+
+class NullFormatter(Formatter): ...
+
+class FixedFormatter(Formatter):
+    seq: Sequence[str]
+    offset_string: str
+    def __init__(self, seq: Sequence[str]) -> None: ...
+    def set_offset_string(self, ofs: str) -> None: ...
+
+class FuncFormatter(Formatter):
+    func: Callable[[float, int | None], str]
+    offset_string: str
+    # Callable[[float, int | None], str] | Callable[[float], str]
+    def __init__(self, func: Callable[..., str]) -> None: ...
+    def set_offset_string(self, ofs: str) -> None: ...
+
+class FormatStrFormatter(Formatter):
+    fmt: str
+    def __init__(self, fmt: str) -> None: ...
+
+class StrMethodFormatter(Formatter):
+    fmt: str
+    def __init__(self, fmt: str) -> None: ...
+
+class ScalarFormatter(Formatter):
+    orderOfMagnitude: int
+    format: str
+    def __init__(
+        self,
+        useOffset: bool | float | None = ...,
+        useMathText: bool | None = ...,
+        useLocale: bool | None = ...,
+        *,
+        usetex: bool | None = ...,
+    ) -> None: ...
+    offset: float
+    def get_usetex(self) -> bool: ...
+    def set_usetex(self, val: bool) -> None: ...
+    @property
+    def usetex(self) -> bool: ...
+    @usetex.setter
+    def usetex(self, val: bool) -> None: ...
+    def get_useOffset(self) -> bool: ...
+    def set_useOffset(self, val: bool | float) -> None: ...
+    @property
+    def useOffset(self) -> bool: ...
+    @useOffset.setter
+    def useOffset(self, val: bool | float) -> None: ...
+    def get_useLocale(self) -> bool: ...
+    def set_useLocale(self, val: bool | None) -> None: ...
+    @property
+    def useLocale(self) -> bool: ...
+    @useLocale.setter
+    def useLocale(self, val: bool | None) -> None: ...
+    def get_useMathText(self) -> bool: ...
+    def set_useMathText(self, val: bool | None) -> None: ...
+    @property
+    def useMathText(self) -> bool: ...
+    @useMathText.setter
+    def useMathText(self, val: bool | None) -> None: ...
+    def set_scientific(self, b: bool) -> None: ...
+    def set_powerlimits(self, lims: tuple[int, int]) -> None: ...
+    def format_data_short(self, value: float | np.ma.MaskedArray) -> str: ...
+    def format_data(self, value: float) -> str: ...
+
+class LogFormatter(Formatter):
+    minor_thresholds: tuple[float, float]
+    def __init__(
+        self,
+        base: float = ...,
+        labelOnlyBase: bool = ...,
+        minor_thresholds: tuple[float, float] | None = ...,
+        linthresh: float | None = ...,
+    ) -> None: ...
+    def set_base(self, base: float) -> None: ...
+    labelOnlyBase: bool
+    def set_label_minor(self, labelOnlyBase: bool) -> None: ...
+    def set_locs(self, locs: Any | None = ...) -> None: ...
+    def format_data(self, value: float) -> str: ...
+    def format_data_short(self, value: float) -> str: ...
+
+class LogFormatterExponent(LogFormatter): ...
+class LogFormatterMathtext(LogFormatter): ...
+class LogFormatterSciNotation(LogFormatterMathtext): ...
+
+class LogitFormatter(Formatter):
+    def __init__(
+        self,
+        *,
+        use_overline: bool = ...,
+        one_half: str = ...,
+        minor: bool = ...,
+        minor_threshold: int = ...,
+        minor_number: int = ...
+    ) -> None: ...
+    def use_overline(self, use_overline: bool) -> None: ...
+    def set_one_half(self, one_half: str) -> None: ...
+    def set_minor_threshold(self, minor_threshold: int) -> None: ...
+    def set_minor_number(self, minor_number: int) -> None: ...
+    def format_data_short(self, value: float) -> str: ...
+
+class EngFormatter(ScalarFormatter):
+    ENG_PREFIXES: dict[int, str]
+    unit: str
+    places: int | None
+    sep: str
+    def __init__(
+        self,
+        unit: str = ...,
+        places: int | None = ...,
+        sep: str = ...,
+        *,
+        usetex: bool | None = ...,
+        useMathText: bool | None = ...,
+        useOffset: bool | float | None = ...,
+    ) -> None: ...
+    def format_eng(self, num: float) -> str: ...
+
+class PercentFormatter(Formatter):
+    xmax: float
+    decimals: int | None
+    def __init__(
+        self,
+        xmax: float = ...,
+        decimals: int | None = ...,
+        symbol: str | None = ...,
+        is_latex: bool = ...,
+    ) -> None: ...
+    def format_pct(self, x: float, display_range: float) -> str: ...
+    def convert_to_pct(self, x: float) -> float: ...
+    @property
+    def symbol(self) -> str: ...
+    @symbol.setter
+    def symbol(self, symbol: str) -> None: ...
+
+class Locator(TickHelper):
+    MAXTICKS: int
+    def tick_values(self, vmin: float, vmax: float) -> Sequence[float]: ...
+    # Implementation accepts **kwargs, but is a no-op other than a warning
+    # Typing as **kwargs would require each subclass to accept **kwargs for mypy
+    def set_params(self) -> None: ...
+    def __call__(self) -> Sequence[float]: ...
+    def raise_if_exceeds(self, locs: Sequence[float]) -> Sequence[float]: ...
+    def nonsingular(self, v0: float, v1: float) -> tuple[float, float]: ...
+    def view_limits(self, vmin: float, vmax: float) -> tuple[float, float]: ...
+
+class IndexLocator(Locator):
+    offset: float
+    def __init__(self, base: float, offset: float) -> None: ...
+    def set_params(
+        self, base: float | None = ..., offset: float | None = ...
+    ) -> None: ...
+
+class FixedLocator(Locator):
+    nbins: int | None
+    def __init__(self, locs: Sequence[float], nbins: int | None = ...) -> None: ...
+    def set_params(self, nbins: int | None = ...) -> None: ...
+
+class NullLocator(Locator): ...
+
+class LinearLocator(Locator):
+    presets: dict[tuple[float, float], Sequence[float]]
+    def __init__(
+        self,
+        numticks: int | None = ...,
+        presets: dict[tuple[float, float], Sequence[float]] | None = ...,
+    ) -> None: ...
+    @property
+    def numticks(self) -> int: ...
+    @numticks.setter
+    def numticks(self, numticks: int | None) -> None: ...
+    def set_params(
+        self,
+        numticks: int | None = ...,
+        presets: dict[tuple[float, float], Sequence[float]] | None = ...,
+    ) -> None: ...
+
+class MultipleLocator(Locator):
+    def __init__(self, base: float = ..., offset: float = ...) -> None: ...
+    def set_params(self, base: float | None = ..., offset: float | None = ...) -> None: ...
+    def view_limits(self, dmin: float, dmax: float) -> tuple[float, float]: ...
+
+class _Edge_integer:
+    step: float
+    def __init__(self, step: float, offset: float) -> None: ...
+    def closeto(self, ms: float, edge: float) -> bool: ...
+    def le(self, x: float) -> float: ...
+    def ge(self, x: float) -> float: ...
+
+class MaxNLocator(Locator):
+    default_params: dict[str, Any]
+    def __init__(self, nbins: int | Literal["auto"] | None = ..., **kwargs) -> None: ...
+    def set_params(self, **kwargs) -> None: ...
+    def view_limits(self, dmin: float, dmax: float) -> tuple[float, float]: ...
+
+class LogLocator(Locator):
+    numticks: int | None
+    def __init__(
+        self,
+        base: float = ...,
+        subs: None | Literal["auto", "all"] | Sequence[float] = ...,
+        *,
+        numticks: int | None = ...,
+    ) -> None: ...
+    def set_params(
+        self,
+        base: float | None = ...,
+        subs: Literal["auto", "all"] | Sequence[float] | None = ...,
+        *,
+        numticks: int | None = ...,
+    ) -> None: ...
+
+class SymmetricalLogLocator(Locator):
+    numticks: int
+    def __init__(
+        self,
+        transform: Transform | None = ...,
+        subs: Sequence[float] | None = ...,
+        linthresh: float | None = ...,
+        base: float | None = ...,
+    ) -> None: ...
+    def set_params(
+        self, subs: Sequence[float] | None = ..., numticks: int | None = ...
+    ) -> None: ...
+
+class AsinhLocator(Locator):
+    linear_width: float
+    numticks: int
+    symthresh: float
+    base: int
+    subs: Sequence[float] | None
+    def __init__(
+        self,
+        linear_width: float,
+        numticks: int = ...,
+        symthresh: float = ...,
+        base: int = ...,
+        subs: Sequence[float] | None = ...,
+    ) -> None: ...
+    def set_params(
+        self,
+        numticks: int | None = ...,
+        symthresh: float | None = ...,
+        base: int | None = ...,
+        subs: Sequence[float] | None = ...,
+    ) -> None: ...
+
+class LogitLocator(MaxNLocator):
+    def __init__(
+        self, minor: bool = ..., *, nbins: Literal["auto"] | int = ...
+    ) -> None: ...
+    def set_params(self, minor: bool | None = ..., **kwargs) -> None: ...
+    @property
+    def minor(self) -> bool: ...
+    @minor.setter
+    def minor(self, value: bool) -> None: ...
+
+class AutoLocator(MaxNLocator):
+    def __init__(self) -> None: ...
+
+class AutoMinorLocator(Locator):
+    ndivs: int
+    def __init__(self, n: int | None = ...) -> None: ...
+
+__all__ = ('TickHelper', 'Formatter', 'FixedFormatter',
+           'NullFormatter', 'FuncFormatter', 'FormatStrFormatter',
+           'StrMethodFormatter', 'ScalarFormatter', 'LogFormatter',
+           'LogFormatterExponent', 'LogFormatterMathtext',
+           'LogFormatterSciNotation',
+           'LogitFormatter', 'EngFormatter', 'PercentFormatter',
+           'Locator', 'IndexLocator', 'FixedLocator', 'NullLocator',
+           'LinearLocator', 'LogLocator', 'AutoLocator',
+           'MultipleLocator', 'MaxNLocator', 'AutoMinorLocator',
+           'SymmetricalLogLocator', 'AsinhLocator', 'LogitLocator')
diff --git a/lib/matplotlib/tight_bbox.py b/lib/matplotlib/tight_bbox.py
deleted file mode 100644
index 69ff23abf426..000000000000
--- a/lib/matplotlib/tight_bbox.py
+++ /dev/null
@@ -1,88 +0,0 @@
-"""
-This module is to support *bbox_inches* option in savefig command.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import warnings
-from matplotlib.transforms import Bbox, TransformedBbox, Affine2D
-
-
-def adjust_bbox(fig, bbox_inches, fixed_dpi=None):
-    """
-    Temporarily adjust the figure so that only the specified area
-    (bbox_inches) is saved.
-
-    It modifies fig.bbox, fig.bbox_inches,
-    fig.transFigure._boxout, and fig.patch.  While the figure size
-    changes, the scale of the original figure is conserved.  A
-    function which restores the original values are returned.
-    """
-
-    origBbox = fig.bbox
-    origBboxInches = fig.bbox_inches
-    _boxout = fig.transFigure._boxout
-
-    asp_list = []
-    locator_list = []
-    for ax in fig.axes:
-        pos = ax.get_position(original=False).frozen()
-        locator_list.append(ax.get_axes_locator())
-        asp_list.append(ax.get_aspect())
-
-        def _l(a, r, pos=pos):
-            return pos
-        ax.set_axes_locator(_l)
-        ax.set_aspect("auto")
-
-    def restore_bbox():
-
-        for ax, asp, loc in zip(fig.axes, asp_list, locator_list):
-            ax.set_aspect(asp)
-            ax.set_axes_locator(loc)
-
-        fig.bbox = origBbox
-        fig.bbox_inches = origBboxInches
-        fig.transFigure._boxout = _boxout
-        fig.transFigure.invalidate()
-        fig.patch.set_bounds(0, 0, 1, 1)
-
-    if fixed_dpi is not None:
-        tr = Affine2D().scale(fixed_dpi)
-        dpi_scale = fixed_dpi / fig.dpi
-    else:
-        tr = Affine2D().scale(fig.dpi)
-        dpi_scale = 1.
-
-    _bbox = TransformedBbox(bbox_inches, tr)
-
-    fig.bbox_inches = Bbox.from_bounds(0, 0,
-                                       bbox_inches.width, bbox_inches.height)
-    x0, y0 = _bbox.x0, _bbox.y0
-    w1, h1 = fig.bbox.width * dpi_scale, fig.bbox.height * dpi_scale
-    fig.transFigure._boxout = Bbox.from_bounds(-x0, -y0, w1, h1)
-    fig.transFigure.invalidate()
-
-    fig.bbox = TransformedBbox(fig.bbox_inches, tr)
-
-    fig.patch.set_bounds(x0 / w1, y0 / h1,
-                         fig.bbox.width / w1, fig.bbox.height / h1)
-
-    return restore_bbox
-
-
-def process_figure_for_rasterizing(fig, bbox_inches_restore, fixed_dpi=None):
-    """
-    This need to be called when figure dpi changes during the drawing
-    (e.g., rasterizing). It recovers the bbox and re-adjust it with
-    the new dpi.
-    """
-
-    bbox_inches, restore_bbox = bbox_inches_restore
-    restore_bbox()
-    r = adjust_bbox(fig, bbox_inches, fixed_dpi)
-
-    return bbox_inches, r
diff --git a/lib/matplotlib/tight_layout.py b/lib/matplotlib/tight_layout.py
deleted file mode 100644
index 08aa09bc0228..000000000000
--- a/lib/matplotlib/tight_layout.py
+++ /dev/null
@@ -1,384 +0,0 @@
-"""
-This module provides routines to adjust subplot params so that subplots are
-nicely fit in the figure. In doing so, only axis labels, tick labels and axes
-titles are currently considered.
-
-Internally, it assumes that the margins (left_margin, etc.) which are
-differences between ax.get_tightbbox and ax.bbox are independent of axes
-position. This may fail if Axes.adjustable is datalim. Also, This will fail
-for some cases (for example, left or right margin is affected by xlabel).
-"""
-
-import warnings
-
-import matplotlib
-from matplotlib.transforms import TransformedBbox, Bbox
-
-from matplotlib.font_manager import FontProperties
-rcParams = matplotlib.rcParams
-
-
-def _get_left(tight_bbox, axes_bbox):
-    return axes_bbox.xmin - tight_bbox.xmin
-
-
-def _get_right(tight_bbox, axes_bbox):
-    return tight_bbox.xmax - axes_bbox.xmax
-
-
-def _get_bottom(tight_bbox, axes_bbox):
-    return axes_bbox.ymin - tight_bbox.ymin
-
-
-def _get_top(tight_bbox, axes_bbox):
-    return tight_bbox.ymax - axes_bbox.ymax
-
-
-def auto_adjust_subplotpars(fig, renderer,
-                            nrows_ncols,
-                            num1num2_list,
-                            subplot_list,
-                            ax_bbox_list=None,
-                            pad=1.08, h_pad=None, w_pad=None,
-                            rect=None):
-    """
-    Return a dictionary of subplot parameters so that spacing between
-    subplots are adjusted. Note that this function ignore geometry
-    information of subplot itself, but uses what is given by
-    *nrows_ncols* and *num1num2_list* parameteres. Also, the results could be
-    incorrect if some subplots have ``adjustable=datalim``.
-
-    Parameters:
-
-    nrows_ncols
-      number of rows and number of columns of the grid.
-
-    num1num2_list
-      list of numbers specifying the area occupied by the subplot
-
-    subplot_list
-      list of subplots that will be used to calcuate optimal subplot_params.
-
-    pad : float
-      padding between the figure edge and the edges of subplots, as a fraction
-      of the font-size.
-    h_pad, w_pad : float
-      padding (height/width) between edges of adjacent subplots.
-        Defaults to `pad_inches`.
-
-    rect
-      [left, bottom, right, top] in normalized (0, 1) figure coordinates.
-    """
-    rows, cols = nrows_ncols
-
-    pad_inches = pad * FontProperties(
-                    size=rcParams["font.size"]).get_size_in_points() / 72.
-
-    if h_pad is not None:
-        vpad_inches = h_pad * FontProperties(
-                        size=rcParams["font.size"]).get_size_in_points() / 72.
-    else:
-        vpad_inches = pad_inches
-
-    if w_pad is not None:
-        hpad_inches = w_pad * FontProperties(
-                        size=rcParams["font.size"]).get_size_in_points() / 72.
-    else:
-        hpad_inches = pad_inches
-
-    if len(subplot_list) == 0:
-        raise RuntimeError("")
-
-    if len(num1num2_list) != len(subplot_list):
-        raise RuntimeError("")
-
-    if rect is None:
-        margin_left = None
-        margin_bottom = None
-        margin_right = None
-        margin_top = None
-    else:
-        margin_left, margin_bottom, _right, _top = rect
-        if _right:
-            margin_right = 1. - _right
-        else:
-            margin_right = None
-        if _top:
-            margin_top = 1. - _top
-        else:
-            margin_top = None
-
-    vspaces = [[] for i in range((rows + 1) * cols)]
-    hspaces = [[] for i in range(rows * (cols + 1))]
-
-    union = Bbox.union
-
-    if ax_bbox_list is None:
-        ax_bbox_list = []
-        for subplots in subplot_list:
-            ax_bbox = union([ax.get_position(original=True)
-                             for ax in subplots])
-            ax_bbox_list.append(ax_bbox)
-
-    for subplots, ax_bbox, (num1, num2) in zip(subplot_list,
-                                               ax_bbox_list,
-                                               num1num2_list):
-
-        #ax_bbox = union([ax.get_position(original=True) for ax in subplots])
-
-        tight_bbox_raw = union([ax.get_tightbbox(renderer) for ax in subplots])
-        tight_bbox = TransformedBbox(tight_bbox_raw,
-                                     fig.transFigure.inverted())
-
-        row1, col1 = divmod(num1, cols)
-
-        if num2 is None:
-            # left
-            hspaces[row1 * (cols + 1) + col1].append(
-                                        _get_left(tight_bbox, ax_bbox))
-            # right
-            hspaces[row1 * (cols + 1) + (col1 + 1)].append(
-                                        _get_right(tight_bbox, ax_bbox))
-            # top
-            vspaces[row1 * cols + col1].append(
-                                        _get_top(tight_bbox, ax_bbox))
-            # bottom
-            vspaces[(row1 + 1) * cols + col1].append(
-                                        _get_bottom(tight_bbox, ax_bbox))
-
-        else:
-            row2, col2 = divmod(num2, cols)
-
-            for row_i in range(row1, row2 + 1):
-                # left
-                hspaces[row_i * (cols + 1) + col1].append(
-                                    _get_left(tight_bbox, ax_bbox))
-                # right
-                hspaces[row_i * (cols + 1) + (col2 + 1)].append(
-                                    _get_right(tight_bbox, ax_bbox))
-            for col_i in range(col1, col2 + 1):
-                # top
-                vspaces[row1 * cols + col_i].append(
-                                    _get_top(tight_bbox, ax_bbox))
-                # bottom
-                vspaces[(row2 + 1) * cols + col_i].append(
-                                    _get_bottom(tight_bbox, ax_bbox))
-
-    fig_width_inch, fig_height_inch = fig.get_size_inches()
-
-    # margins can be negative for axes with aspect applied. And we
-    # append + [0] to make minimum margins 0
-
-    if not margin_left:
-        margin_left = max([sum(s) for s in hspaces[::cols + 1]] + [0])
-        margin_left += pad_inches / fig_width_inch
-
-    if not margin_right:
-        margin_right = max([sum(s) for s in hspaces[cols::cols + 1]] + [0])
-        margin_right += pad_inches / fig_width_inch
-
-    if not margin_top:
-        margin_top = max([sum(s) for s in vspaces[:cols]] + [0])
-        margin_top += pad_inches / fig_height_inch
-
-    if not margin_bottom:
-        margin_bottom = max([sum(s) for s in vspaces[-cols:]] + [0])
-        margin_bottom += pad_inches / fig_height_inch
-
-    kwargs = dict(left=margin_left,
-                  right=1 - margin_right,
-                  bottom=margin_bottom,
-                  top=1 - margin_top)
-
-    if cols > 1:
-        hspace = max([sum(s)
-                      for i in range(rows)
-                      for s
-                      in hspaces[i * (cols + 1) + 1:(i + 1) * (cols + 1) - 1]])
-        hspace += hpad_inches / fig_width_inch
-        h_axes = ((1 - margin_right - margin_left) -
-                   hspace * (cols - 1)) / cols
-
-        kwargs["wspace"] = hspace / h_axes
-
-    if rows > 1:
-        vspace = max([sum(s) for s in vspaces[cols:-cols]])
-        vspace += vpad_inches / fig_height_inch
-        v_axes = ((1 - margin_top - margin_bottom) -
-                  vspace * (rows - 1)) / rows
-
-        kwargs["hspace"] = vspace / v_axes
-
-    return kwargs
-
-
-def get_renderer(fig):
-    if fig._cachedRenderer:
-        renderer = fig._cachedRenderer
-    else:
-        canvas = fig.canvas
-
-        if canvas and hasattr(canvas, "get_renderer"):
-            renderer = canvas.get_renderer()
-        else:
-            # not sure if this can happen
-            warnings.warn("tight_layout : falling back to Agg renderer")
-            from matplotlib.backends.backend_agg import FigureCanvasAgg
-            canvas = FigureCanvasAgg(fig)
-            renderer = canvas.get_renderer()
-
-    return renderer
-
-
-def get_subplotspec_list(axes_list, grid_spec=None):
-    """
-    Return a list of subplotspec from the given list of axes.  For an
-    instance of axes that does not support subplotspec, None is
-    inserted in the list.
-
-    If grid_spec is given, None is inserted for those not from
-    the given grid_spec.
-
-    """
-    subplotspec_list = []
-    for ax in axes_list:
-        axes_or_locator = ax.get_axes_locator()
-        if axes_or_locator is None:
-            axes_or_locator = ax
-
-        if hasattr(axes_or_locator, "get_subplotspec"):
-            subplotspec = axes_or_locator.get_subplotspec()
-            subplotspec = subplotspec.get_topmost_subplotspec()
-            gs = subplotspec.get_gridspec()
-            if grid_spec is not None:
-                if gs != grid_spec:
-                    subplotspec = None
-            elif gs.locally_modified_subplot_params():
-                subplotspec = None
-        else:
-            subplotspec = None
-
-        subplotspec_list.append(subplotspec)
-
-    return subplotspec_list
-
-
-def get_tight_layout_figure(fig, axes_list, subplotspec_list, renderer,
-                            pad=1.08, h_pad=None, w_pad=None, rect=None):
-    """
-    Return subplot parameters for tight-layouted-figure with specified
-    padding.
-
-    Parameters:
-
-      *fig* : figure instance
-
-      *axes_list* : a list of axes
-
-      *subplotspec_list* : a list of subplotspec associated with each
-        axes in axes_list
-
-      *renderer* : renderer instance
-
-      *pad* : float
-        padding between the figure edge and the edges of subplots,
-        as a fraction of the font-size.
-
-      *h_pad*, *w_pad* : float
-        padding (height/width) between edges of adjacent subplots.
-        Defaults to `pad_inches`.
-
-      *rect* : if rect is given, it is interpreted as a rectangle
-        (left, bottom, right, top) in the normalized figure
-        coordinate that the whole subplots area (including
-        labels) will fit into. Default is (0, 0, 1, 1).
-    """
-
-    subplot_list = []
-    nrows_list = []
-    ncols_list = []
-    ax_bbox_list = []
-
-    subplot_dict = {}  # multiple axes can share
-                       # same subplot_interface (e.g., axes_grid1). Thus
-                       # we need to join them together.
-
-    subplotspec_list2 = []
-
-    for ax, subplotspec in zip(axes_list,
-                               subplotspec_list):
-        if subplotspec is None:
-            continue
-
-        subplots = subplot_dict.setdefault(subplotspec, [])
-
-        if not subplots:
-            myrows, mycols, _, _ = subplotspec.get_geometry()
-            nrows_list.append(myrows)
-            ncols_list.append(mycols)
-            subplotspec_list2.append(subplotspec)
-            subplot_list.append(subplots)
-            ax_bbox_list.append(subplotspec.get_position(fig))
-
-        subplots.append(ax)
-
-    max_nrows = max(nrows_list)
-    max_ncols = max(ncols_list)
-
-    num1num2_list = []
-    for subplotspec in subplotspec_list2:
-        rows, cols, num1, num2 = subplotspec.get_geometry()
-        div_row, mod_row = divmod(max_nrows, rows)
-        div_col, mod_col = divmod(max_ncols, cols)
-        if (mod_row != 0) or (mod_col != 0):
-            raise RuntimeError("")
-
-        rowNum1, colNum1 = divmod(num1, cols)
-        if num2 is None:
-            rowNum2, colNum2 = rowNum1, colNum1
-        else:
-            rowNum2, colNum2 = divmod(num2, cols)
-
-        num1num2_list.append((rowNum1 * div_row * max_ncols +
-                              colNum1 * div_col,
-                              ((rowNum2 + 1) * div_row - 1) * max_ncols +
-                              (colNum2 + 1) * div_col - 1))
-
-    kwargs = auto_adjust_subplotpars(fig, renderer,
-                                     nrows_ncols=(max_nrows, max_ncols),
-                                     num1num2_list=num1num2_list,
-                                     subplot_list=subplot_list,
-                                     ax_bbox_list=ax_bbox_list,
-                                     pad=pad, h_pad=h_pad, w_pad=w_pad)
-
-    if rect is not None:
-        # if rect is given, the whole subplots area (including
-        # labels) will fit into the rect instead of the
-        # figure. Note that the rect argument of
-        # *auto_adjust_subplotpars* specify the area that will be
-        # covered by the total area of axes.bbox. Thus we call
-        # auto_adjust_subplotpars twice, where the second run
-        # with adjusted rect parameters.
-
-        left, bottom, right, top = rect
-        if left is not None:
-            left += kwargs["left"]
-        if bottom is not None:
-            bottom += kwargs["bottom"]
-        if right is not None:
-            right -= (1 - kwargs["right"])
-        if top is not None:
-            top -= (1 - kwargs["top"])
-
-        #if h_pad is None: h_pad = pad
-        #if w_pad is None: w_pad = pad
-
-        kwargs = auto_adjust_subplotpars(fig, renderer,
-                                         nrows_ncols=(max_nrows, max_ncols),
-                                         num1num2_list=num1num2_list,
-                                         subplot_list=subplot_list,
-                                         ax_bbox_list=ax_bbox_list,
-                                         pad=pad, h_pad=h_pad, w_pad=w_pad,
-                                         rect=(left, bottom, right, top))
-
-    return kwargs
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index c8848eca900f..7228f05bcf9e 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -1,9 +1,8 @@
 """
-matplotlib includes a framework for arbitrary geometric
-transformations that is used determine the final position of all
-elements drawn on the canvas.
+Matplotlib includes a framework for arbitrary geometric transformations that is used to
+determine the final position of all elements drawn on the canvas.
 
-Transforms are composed into trees of :class:`TransformNode` objects
+Transforms are composed into trees of `TransformNode` objects
 whose actual value depends on their children.  When the contents of
 children change, their parents are automatically invalidated.  The
 next time an invalidated transform is accessed, it is recomputed to
@@ -11,13 +10,13 @@
 unnecessary recomputations of transforms, and contributes to better
 interactive performance.
 
-For example, here is a graph of the transform tree used to plot data
-to the graph:
+For example, here is a graph of the transform tree used to plot data to the figure:
 
-.. image:: ../_static/transforms.png
+.. graphviz:: /api/transforms.dot
+    :alt: Diagram of transform tree from data to figure coordinates.
 
 The framework can be used for both affine and non-affine
-transformations.  However, for speed, we want use the backend
+transformations.  However, for speed, we want to use the backend
 renderers to perform affine transformations whenever possible.
 Therefore, it is possible to perform just the affine or non-affine
 part of a transformation on a set of data.  The affine is always
@@ -27,54 +26,78 @@
 
 The backends are not expected to handle non-affine transformations
 themselves.
+
+See the tutorial :ref:`transforms_tutorial` for examples
+of how to use transforms.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+# Note: There are a number of places in the code where we use `np.min` or
+# `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
+# done so that `nan`s are propagated, instead of being silently dropped.
 
-import six
+import copy
+import functools
+import itertools
+import textwrap
+import weakref
+import math
 
 import numpy as np
-from numpy import ma
-from matplotlib._path import (affine_transform, count_bboxes_overlapping_bbox,
-    update_path_extents)
 from numpy.linalg import inv
 
-from weakref import WeakValueDictionary
-import warnings
-try:
-    set
-except NameError:
-    from sets import Set as set
-
+from matplotlib import _api
+from matplotlib._path import affine_transform, count_bboxes_overlapping_bbox
 from .path import Path
 
 DEBUG = False
 
-MaskedArray = ma.MaskedArray
 
+def _make_str_method(*args, **kwargs):
+    """
+    Generate a ``__str__`` method for a `.Transform` subclass.
+
+    After ::
+
+        class T:
+            __str__ = _make_str_method("attr", key="other")
+
+    ``str(T(...))`` will be
 
-class TransformNode(object):
+    .. code-block:: text
+
+        {type(T).__name__}(
+            {self.attr},
+            key={self.other})
+    """
+    indent = functools.partial(textwrap.indent, prefix=" " * 4)
+    def strrepr(x): return repr(x) if isinstance(x, str) else str(x)
+    return lambda self: (
+        type(self).__name__ + "("
+        + ",".join([*(indent("\n" + strrepr(getattr(self, arg)))
+                      for arg in args),
+                    *(indent("\n" + k + "=" + strrepr(getattr(self, arg)))
+                      for k, arg in kwargs.items())])
+        + ")")
+
+
+class TransformNode:
     """
-    :class:`TransformNode` is the base class for anything that
-    participates in the transform tree and needs to invalidate its
-    parents or be invalidated.  This includes classes that are not
-    really transforms, such as bounding boxes, since some transforms
-    depend on bounding boxes to compute their values.
+    The base class for anything that participates in the transform tree
+    and needs to invalidate its parents or be invalidated.  This includes
+    classes that are not really transforms, such as bounding boxes, since some
+    transforms depend on bounding boxes to compute their values.
     """
-    _gid = 0
 
     # Invalidation may affect only the affine part.  If the
     # invalidation was "affine-only", the _invalid member is set to
     # INVALID_AFFINE_ONLY
-    INVALID_NON_AFFINE = 1
-    INVALID_AFFINE = 2
-    INVALID = INVALID_NON_AFFINE | INVALID_AFFINE
+
+    # Possible values for the _invalid attribute.
+    _VALID, _INVALID_AFFINE_ONLY, _INVALID_FULL = range(3)
 
     # Some metadata about the transform, used to determine whether an
     # invalidation is affine-only
     is_affine = False
-    is_bbox = False
 
     pass_through = False
     """
@@ -84,79 +107,72 @@ class TransformNode(object):
 
     def __init__(self, shorthand_name=None):
         """
-        Creates a new :class:`TransformNode`.
-
-        **shorthand_name** - a string representing the "name" of this
-                             transform. The name carries no significance
-                             other than to improve the readability of
-                             ``str(transform)`` when DEBUG=True.
+        Parameters
+        ----------
+        shorthand_name : str
+            A string representing the "name" of the transform. The name carries
+            no significance other than to improve the readability of
+            ``str(transform)`` when DEBUG=True.
         """
-        # Parents are stored in a WeakValueDictionary, so that if the
-        # parents are deleted, references from the children won't keep
-        # them alive.
-        self._parents = WeakValueDictionary()
-
-        # TransformNodes start out as invalid until their values are
-        # computed for the first time.
-        self._invalid = 1
+        self._parents = {}
+        # Initially invalid, until first computation.
+        self._invalid = self._INVALID_FULL
         self._shorthand_name = shorthand_name or ''
 
     if DEBUG:
         def __str__(self):
-            # either just return the name of this TransformNode, or it's repr
+            # either just return the name of this TransformNode, or its repr
             return self._shorthand_name or repr(self)
 
     def __getstate__(self):
-        d = self.__dict__.copy()
-        # turn the weakkey dictionary into a normal dictionary
-        d['_parents'] = dict(six.iteritems(self._parents))
-        return d
+        # turn the dictionary with weak values into a normal dictionary
+        return {**self.__dict__,
+                '_parents': {k: v() for k, v in self._parents.items()}}
 
     def __setstate__(self, data_dict):
         self.__dict__ = data_dict
-        # turn the normal dictionary back into a WeakValueDictionary
-        self._parents = WeakValueDictionary(self._parents)
-
-    def __copy__(self, *args):
-        raise NotImplementedError(
-            "TransformNode instances can not be copied. " +
-            "Consider using frozen() instead.")
-    __deepcopy__ = __copy__
+        # turn the normal dictionary back into a dictionary with weak values
+        # The extra lambda is to provide a callback to remove dead
+        # weakrefs from the dictionary when garbage collection is done.
+        self._parents = {
+            k: weakref.ref(v, lambda _, pop=self._parents.pop, k=k: pop(k))
+            for k, v in self._parents.items() if v is not None}
+
+    def __copy__(self):
+        other = copy.copy(super())
+        # If `c = a + b; a1 = copy(a)`, then modifications to `a1` do not
+        # propagate back to `c`, i.e. we need to clear the parents of `a1`.
+        other._parents = {}
+        # If `c = a + b; c1 = copy(c)`, then modifications to `a` also need to
+        # be propagated to `c1`.
+        for key, val in vars(self).items():
+            if isinstance(val, TransformNode) and id(self) in val._parents:
+                other.set_children(val)  # val == getattr(other, key)
+        return other
 
     def invalidate(self):
         """
-        Invalidate this :class:`TransformNode` and triggers an
-        invalidation of its ancestors.  Should be called any
-        time the transform changes.
+        Invalidate this `TransformNode` and triggers an invalidation of its
+        ancestors.  Should be called any time the transform changes.
         """
-        value = self.INVALID
-        if self.is_affine:
-            value = self.INVALID_AFFINE
-        return self._invalidate_internal(value, invalidating_node=self)
+        return self._invalidate_internal(
+            level=self._INVALID_AFFINE_ONLY if self.is_affine else self._INVALID_FULL,
+            invalidating_node=self)
 
-    def _invalidate_internal(self, value, invalidating_node):
+    def _invalidate_internal(self, level, invalidating_node):
         """
         Called by :meth:`invalidate` and subsequently ascends the transform
         stack calling each TransformNode's _invalidate_internal method.
         """
-        # determine if this call will be an extension to the invalidation
-        # status. If not, then a shortcut means that we needn't invoke an
-        # invalidation up the transform stack as it will already have been
-        # invalidated.
-
-        # N.B This makes the invalidation sticky, once a transform has been
-        # invalidated as NON_AFFINE, then it will always be invalidated as
-        # NON_AFFINE even when triggered with a AFFINE_ONLY invalidation.
-        # In most cases this is not a problem (i.e. for interactive panning and
-        # zooming) and the only side effect will be on performance.
-        status_changed = self._invalid < value
-
-        if self.pass_through or status_changed:
-            self._invalid = value
-
-            for parent in list(six.itervalues(self._parents)):
-                parent._invalidate_internal(value=value,
-                                            invalidating_node=self)
+        # If we are already more invalid than the currently propagated invalidation,
+        # then we don't need to do anything.
+        if level <= self._invalid and not self.pass_through:
+            return
+        self._invalid = level
+        for parent in list(self._parents.values()):
+            parent = parent()  # Dereference the weak reference.
+            if parent is not None:
+                parent._invalidate_internal(level=level, invalidating_node=self)
 
     def set_children(self, *children):
         """
@@ -165,113 +181,50 @@ def set_children(self, *children):
         Should be called from the constructor of any transforms that
         depend on other transforms.
         """
+        # Parents are stored as weak references, so that if the
+        # parents are destroyed, references from the children won't
+        # keep them alive.
+        id_self = id(self)
         for child in children:
-            child._parents[id(self)] = self
-
-    if DEBUG:
-        _set_children = set_children
-
-        def set_children(self, *children):
-            self._set_children(*children)
-            self._children = children
-        set_children.__doc__ = _set_children.__doc__
+            # Use weak references so this dictionary won't keep obsolete nodes
+            # alive; the callback deletes the dictionary entry. This is a
+            # performance improvement over using WeakValueDictionary.
+            ref = weakref.ref(
+                self, lambda _, pop=child._parents.pop, k=id_self: pop(k))
+            child._parents[id_self] = ref
 
     def frozen(self):
         """
-        Returns a frozen copy of this transform node.  The frozen copy
-        will not update when its children change.  Useful for storing
-        a previously known state of a transform where
-        ``copy.deepcopy()`` might normally be used.
+        Return a frozen copy of this transform node.  The frozen copy will not
+        be updated when its children change.  Useful for storing a previously
+        known state of a transform where ``copy.deepcopy()`` might normally be
+        used.
         """
         return self
 
-    if DEBUG:
-        def write_graphviz(self, fobj, highlight=[]):
-            """
-            For debugging purposes.
-
-            Writes the transform tree rooted at 'self' to a graphviz "dot"
-            format file.  This file can be run through the "dot" utility
-            to produce a graph of the transform tree.
-
-            Affine transforms are marked in blue.  Bounding boxes are
-            marked in yellow.
-
-            *fobj*: A Python file-like object
-
-            Once the "dot" file has been created, it can be turned into a
-            png easily with::
-
-                $> dot -Tpng -o $OUTPUT_FILE $DOT_FILE
-
-            """
-            seen = set()
-
-            def recurse(root):
-                if root in seen:
-                    return
-                seen.add(root)
-                props = {}
-                label = root.__class__.__name__
-                if root._invalid:
-                    label = '[%s]' % label
-                if root in highlight:
-                    props['style'] = 'bold'
-                props['shape'] = 'box'
-                props['label'] = '"%s"' % label
-                props = ' '.join(['%s=%s' % (key, val)
-                                  for key, val
-                                  in six.iteritems(props)])
-
-                fobj.write('%s [%s];\n' %
-                           (hash(root), props))
-
-                if hasattr(root, '_children'):
-                    for child in root._children:
-                        name = '?'
-                        for key, val in six.iteritems(root.__dict__):
-                            if val is child:
-                                name = key
-                                break
-                        fobj.write('"%s" -> "%s" [label="%s", fontsize=10];\n'
-                                    % (hash(root),
-                                    hash(child),
-                                    name))
-                        recurse(child)
-
-            fobj.write("digraph G {\n")
-            recurse(self)
-            fobj.write("}\n")
-
 
 class BboxBase(TransformNode):
     """
-    This is the base class of all bounding boxes, and provides
-    read-only access to its data.  A mutable bounding box is provided
-    by the :class:`Bbox` class.
+    The base class of all bounding boxes.
+
+    This class is immutable; `Bbox` is a mutable subclass.
 
     The canonical representation is as two points, with no
     restrictions on their ordering.  Convenience properties are
     provided to get the left, bottom, right and top edges and width
     and height, but these are not stored explicitly.
     """
-    is_bbox = True
-    is_affine = True
 
-    #* Redundant: Removed for performance
-    #
-    # def __init__(self):
-    #     TransformNode.__init__(self)
+    is_affine = True
 
     if DEBUG:
+        @staticmethod
         def _check(points):
-            if ma.isMaskedArray(points):
-                warnings.warn("Bbox bounds are a masked array.")
+            if isinstance(points, np.ma.MaskedArray):
+                _api.warn_external("Bbox bounds are a masked array.")
             points = np.asarray(points)
-            if (points[1, 0] - points[0, 0] == 0 or
-                points[1, 1] - points[0, 1] == 0):
-                warnings.warn("Singular Bbox.")
-        _check = staticmethod(_check)
+            if any((points[1, :] - points[0, :]) == 0):
+                _api.warn_external("Singular Bbox.")
 
     def frozen(self):
         return Bbox(self.get_points().copy())
@@ -280,174 +233,179 @@ def frozen(self):
     def __array__(self, *args, **kwargs):
         return self.get_points()
 
-    def is_unit(self):
-        """
-        Returns True if the :class:`Bbox` is the unit bounding box
-        from (0, 0) to (1, 1).
+    @property
+    def x0(self):
         """
-        return list(self.get_points().flatten()) == [0., 0., 1., 1.]
+        The first of the pair of *x* coordinates that define the bounding box.
 
-    def _get_x0(self):
+        This is not guaranteed to be less than :attr:`x1` (for that, use
+        :attr:`~BboxBase.xmin`).
+        """
         return self.get_points()[0, 0]
-    x0 = property(_get_x0, None, None, """
-         (property) :attr:`x0` is the first of the pair of *x* coordinates that
-         define the bounding box.  :attr:`x0` is not guaranteed to be
-         less than :attr:`x1`.  If you require that, use :attr:`xmin`.""")
 
-    def _get_y0(self):
+    @property
+    def y0(self):
+        """
+        The first of the pair of *y* coordinates that define the bounding box.
+
+        This is not guaranteed to be less than :attr:`y1` (for that, use
+        :attr:`~BboxBase.ymin`).
+        """
         return self.get_points()[0, 1]
-    y0 = property(_get_y0, None, None, """
-         (property) :attr:`y0` is the first of the pair of *y* coordinates that
-         define the bounding box.  :attr:`y0` is not guaranteed to be
-         less than :attr:`y1`.  If you require that, use :attr:`ymin`.""")
 
-    def _get_x1(self):
+    @property
+    def x1(self):
+        """
+        The second of the pair of *x* coordinates that define the bounding box.
+
+        This is not guaranteed to be greater than :attr:`x0` (for that, use
+        :attr:`~BboxBase.xmax`).
+        """
         return self.get_points()[1, 0]
-    x1 = property(_get_x1, None, None, """
-         (property) :attr:`x1` is the second of the pair of *x* coordinates
-         that define the bounding box.  :attr:`x1` is not guaranteed to be
-         greater than :attr:`x0`.  If you require that, use :attr:`xmax`.""")
 
-    def _get_y1(self):
+    @property
+    def y1(self):
+        """
+        The second of the pair of *y* coordinates that define the bounding box.
+
+        This is not guaranteed to be greater than :attr:`y0` (for that, use
+        :attr:`~BboxBase.ymax`).
+        """
         return self.get_points()[1, 1]
-    y1 = property(_get_y1, None, None, """
-         (property) :attr:`y1` is the second of the pair of *y* coordinates
-         that define the bounding box.  :attr:`y1` is not guaranteed to be
-         greater than :attr:`y0`.  If you require that, use :attr:`ymax`.""")
 
-    def _get_p0(self):
+    @property
+    def p0(self):
+        """
+        The first pair of (*x*, *y*) coordinates that define the bounding box.
+
+        This is not guaranteed to be the bottom-left corner (for that, use
+        :attr:`~BboxBase.min`).
+        """
         return self.get_points()[0]
-    p0 = property(_get_p0, None, None, """
-         (property) :attr:`p0` is the first pair of (*x*, *y*) coordinates
-         that define the bounding box.  It is not guaranteed to be the
-         bottom-left corner.  For that, use :attr:`min`.""")
 
-    def _get_p1(self):
+    @property
+    def p1(self):
+        """
+        The second pair of (*x*, *y*) coordinates that define the bounding box.
+
+        This is not guaranteed to be the top-right corner (for that, use
+        :attr:`~BboxBase.max`).
+        """
         return self.get_points()[1]
-    p1 = property(_get_p1, None, None, """
-         (property) :attr:`p1` is the second pair of (*x*, *y*) coordinates
-         that define the bounding box.  It is not guaranteed to be the
-         top-right corner.  For that, use :attr:`max`.""")
-
-    def _get_xmin(self):
-        return min(self.get_points()[:, 0])
-    xmin = property(_get_xmin, None, None, """
-        (property) :attr:`xmin` is the left edge of the bounding box.""")
-
-    def _get_ymin(self):
-        return min(self.get_points()[:, 1])
-    ymin = property(_get_ymin, None, None, """
-        (property) :attr:`ymin` is the bottom edge of the bounding box.""")
-
-    def _get_xmax(self):
-        return max(self.get_points()[:, 0])
-    xmax = property(_get_xmax, None, None, """
-        (property) :attr:`xmax` is the right edge of the bounding box.""")
-
-    def _get_ymax(self):
-        return max(self.get_points()[:, 1])
-    ymax = property(_get_ymax, None, None, """
-        (property) :attr:`ymax` is the top edge of the bounding box.""")
-
-    def _get_min(self):
-        return [min(self.get_points()[:, 0]),
-                min(self.get_points()[:, 1])]
-    min = property(_get_min, None, None, """
-        (property) :attr:`min` is the bottom-left corner of the bounding
-        box.""")
-
-    def _get_max(self):
-        return [max(self.get_points()[:, 0]),
-                max(self.get_points()[:, 1])]
-    max = property(_get_max, None, None, """
-        (property) :attr:`max` is the top-right corner of the bounding box.""")
-
-    def _get_intervalx(self):
+
+    @property
+    def xmin(self):
+        """The left edge of the bounding box."""
+        return np.min(self.get_points()[:, 0])
+
+    @property
+    def ymin(self):
+        """The bottom edge of the bounding box."""
+        return np.min(self.get_points()[:, 1])
+
+    @property
+    def xmax(self):
+        """The right edge of the bounding box."""
+        return np.max(self.get_points()[:, 0])
+
+    @property
+    def ymax(self):
+        """The top edge of the bounding box."""
+        return np.max(self.get_points()[:, 1])
+
+    @property
+    def min(self):
+        """The bottom-left corner of the bounding box."""
+        return np.min(self.get_points(), axis=0)
+
+    @property
+    def max(self):
+        """The top-right corner of the bounding box."""
+        return np.max(self.get_points(), axis=0)
+
+    @property
+    def intervalx(self):
+        """
+        The pair of *x* coordinates that define the bounding box.
+
+        This is not guaranteed to be sorted from left to right.
+        """
         return self.get_points()[:, 0]
-    intervalx = property(_get_intervalx, None, None, """
-        (property) :attr:`intervalx` is the pair of *x* coordinates that define
-        the bounding box. It is not guaranteed to be sorted from left to
-        right.""")
 
-    def _get_intervaly(self):
+    @property
+    def intervaly(self):
+        """
+        The pair of *y* coordinates that define the bounding box.
+
+        This is not guaranteed to be sorted from bottom to top.
+        """
         return self.get_points()[:, 1]
-    intervaly = property(_get_intervaly, None, None, """
-        (property) :attr:`intervaly` is the pair of *y* coordinates that define
-        the bounding box.  It is not guaranteed to be sorted from bottom to
-        top.""")
 
-    def _get_width(self):
+    @property
+    def width(self):
+        """The (signed) width of the bounding box."""
         points = self.get_points()
         return points[1, 0] - points[0, 0]
-    width = property(_get_width, None, None, """
-        (property) The width of the bounding box.  It may be negative if
-        :attr:`x1` < :attr:`x0`.""")
 
-    def _get_height(self):
+    @property
+    def height(self):
+        """The (signed) height of the bounding box."""
         points = self.get_points()
         return points[1, 1] - points[0, 1]
-    height = property(_get_height, None, None, """
-        (property) The height of the bounding box.  It may be negative if
-        :attr:`y1` < :attr:`y0`.""")
 
-    def _get_size(self):
+    @property
+    def size(self):
+        """The (signed) width and height of the bounding box."""
         points = self.get_points()
         return points[1] - points[0]
-    size = property(_get_size, None, None, """
-        (property) The width and height of the bounding box.  May be negative,
-        in the same way as :attr:`width` and :attr:`height`.""")
 
-    def _get_bounds(self):
-        x0, y0, x1, y1 = self.get_points().flatten()
+    @property
+    def bounds(self):
+        """
+        Return (:attr:`x0`, :attr:`y0`, :attr:`~BboxBase.width`,
+        :attr:`~BboxBase.height`).
+        """
+        (x0, y0), (x1, y1) = self.get_points()
         return (x0, y0, x1 - x0, y1 - y0)
-    bounds = property(_get_bounds, None, None, """
-        (property) Returns (:attr:`x0`, :attr:`y0`, :attr:`width`,
-        :attr:`height`).""")
 
-    def _get_extents(self):
-        return self.get_points().flatten().copy()
-    extents = property(_get_extents, None, None, """
-        (property) Returns (:attr:`x0`, :attr:`y0`, :attr:`x1`,
-        :attr:`y1`).""")
+    @property
+    def extents(self):
+        """Return (:attr:`x0`, :attr:`y0`, :attr:`x1`, :attr:`y1`)."""
+        return self.get_points().flatten()  # flatten returns a copy.
 
     def get_points(self):
-        return NotImplementedError()
+        raise NotImplementedError
 
     def containsx(self, x):
         """
-        Returns True if *x* is between or equal to :attr:`x0` and
-        :attr:`x1`.
+        Return whether *x* is in the closed (:attr:`x0`, :attr:`x1`) interval.
         """
         x0, x1 = self.intervalx
-        return ((x0 < x1
-                 and (x >= x0 and x <= x1))
-                or (x >= x1 and x <= x0))
+        return x0 <= x <= x1 or x0 >= x >= x1
 
     def containsy(self, y):
         """
-        Returns True if *y* is between or equal to :attr:`y0` and
-        :attr:`y1`.
+        Return whether *y* is in the closed (:attr:`y0`, :attr:`y1`) interval.
         """
         y0, y1 = self.intervaly
-        return ((y0 < y1
-                 and (y >= y0 and y <= y1))
-                or (y >= y1 and y <= y0))
+        return y0 <= y <= y1 or y0 >= y >= y1
 
     def contains(self, x, y):
         """
-        Returns *True* if (*x*, *y*) is a coordinate inside the
-        bounding box or on its edge.
+        Return whether ``(x, y)`` is in the bounding box or on its edge.
         """
         return self.containsx(x) and self.containsy(y)
 
     def overlaps(self, other):
         """
-        Returns True if this bounding box overlaps with the given
-        bounding box *other*.
-        """
-        ax1, ay1, ax2, ay2 = self._get_extents()
-        bx1, by1, bx2, by2 = other._get_extents()
+        Return whether this bounding box overlaps with the other bounding box.
 
+        Parameters
+        ----------
+        other : `.BboxBase`
+        """
+        ax1, ay1, ax2, ay2 = self.extents
+        bx1, by1, bx2, by2 = other.extents
         if ax2 < ax1:
             ax2, ax1 = ax1, ax2
         if ay2 < ay1:
@@ -456,48 +414,39 @@ def overlaps(self, other):
             bx2, bx1 = bx1, bx2
         if by2 < by1:
             by2, by1 = by1, by2
-
-        return not ((bx2 < ax1) or
-                    (by2 < ay1) or
-                    (bx1 > ax2) or
-                    (by1 > ay2))
+        return ax1 <= bx2 and bx1 <= ax2 and ay1 <= by2 and by1 <= ay2
 
     def fully_containsx(self, x):
         """
-        Returns True if *x* is between but not equal to :attr:`x0` and
-        :attr:`x1`.
+        Return whether *x* is in the open (:attr:`x0`, :attr:`x1`) interval.
         """
         x0, x1 = self.intervalx
-        return ((x0 < x1
-                 and (x > x0 and x < x1))
-                or (x > x1 and x < x0))
+        return x0 < x < x1 or x0 > x > x1
 
     def fully_containsy(self, y):
         """
-        Returns True if *y* is between but not equal to :attr:`y0` and
-        :attr:`y1`.
+        Return whether *y* is in the open (:attr:`y0`, :attr:`y1`) interval.
         """
         y0, y1 = self.intervaly
-        return ((y0 < y1
-                 and (y > y0 and y < y1))
-                or (y > y1 and y < y0))
+        return y0 < y < y1 or y0 > y > y1
 
     def fully_contains(self, x, y):
         """
-        Returns True if (*x*, *y*) is a coordinate inside the bounding
-        box, but not on its edge.
+        Return whether ``x, y`` is in the bounding box, but not on its edge.
         """
-        return self.fully_containsx(x) \
-            and self.fully_containsy(y)
+        return self.fully_containsx(x) and self.fully_containsy(y)
 
     def fully_overlaps(self, other):
         """
-        Returns True if this bounding box overlaps with the given
-        bounding box *other*, but not on its edge alone.
-        """
-        ax1, ay1, ax2, ay2 = self._get_extents()
-        bx1, by1, bx2, by2 = other._get_extents()
+        Return whether this bounding box overlaps with the other bounding box,
+        not including the edges.
 
+        Parameters
+        ----------
+        other : `.BboxBase`
+        """
+        ax1, ay1, ax2, ay2 = self.extents
+        bx1, by1, bx2, by2 = other.extents
         if ax2 < ax1:
             ax2, ax1 = ax1, ax2
         if ay2 < ay1:
@@ -506,29 +455,17 @@ def fully_overlaps(self, other):
             bx2, bx1 = bx1, bx2
         if by2 < by1:
             by2, by1 = by1, by2
-
-        return not ((bx2 <= ax1) or
-                    (by2 <= ay1) or
-                    (bx1 >= ax2) or
-                    (by1 >= ay2))
+        return ax1 < bx2 and bx1 < ax2 and ay1 < by2 and by1 < ay2
 
     def transformed(self, transform):
         """
-        Return a new :class:`Bbox` object, statically transformed by
-        the given transform.
+        Construct a `Bbox` by statically transforming this one by *transform*.
         """
         pts = self.get_points()
-        ll, ul, lr = transform.transform(np.array([pts[0],
-            [pts[0, 0], pts[1, 1]], [pts[1, 0], pts[0, 1]]]))
+        ll, ul, lr = transform.transform(np.array(
+            [pts[0], [pts[0, 0], pts[1, 1]], [pts[1, 0], pts[0, 1]]]))
         return Bbox([ll, [lr[0], ul[1]]])
 
-    def inverse_transformed(self, transform):
-        """
-        Return a new :class:`Bbox` object, statically transformed by
-        the inverse of the given transform.
-        """
-        return self.transformed(transform.inverted())
-
     coefs = {'C':  (0.5, 0.5),
              'SW': (0, 0),
              'S':  (0.5, 0),
@@ -539,61 +476,53 @@ def inverse_transformed(self, transform):
              'NW': (0, 1.0),
              'W':  (0, 0.5)}
 
-    def anchored(self, c, container=None):
+    def anchored(self, c, container):
         """
-        Return a copy of the :class:`Bbox`, shifted to position *c*
-        within a container.
+        Return a copy of the `Bbox` anchored to *c* within *container*.
 
-        *c*: may be either:
+        Parameters
+        ----------
+        c : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}
+            Either an (*x*, *y*) pair of relative coordinates (0 is left or
+            bottom, 1 is right or top), 'C' (center), or a cardinal direction
+            ('SW', southwest, is bottom left, etc.).
+        container : `Bbox`
+            The box within which the `Bbox` is positioned.
 
-          * a sequence (*cx*, *cy*) where *cx* and *cy* range from 0
-            to 1, where 0 is left or bottom and 1 is right or top
-
-          * a string:
-            - 'C' for centered
-            - 'S' for bottom-center
-            - 'SE' for bottom-left
-            - 'E' for left
-            - etc.
-
-        Optional argument *container* is the box within which the
-        :class:`Bbox` is positioned; it defaults to the initial
-        :class:`Bbox`.
+        See Also
+        --------
+        .Axes.set_anchor
         """
-        if container is None:
-            container = self
         l, b, w, h = container.bounds
-        if isinstance(c, six.string_types):
-            cx, cy = self.coefs[c]
-        else:
-            cx, cy = c
         L, B, W, H = self.bounds
+        cx, cy = self.coefs[c] if isinstance(c, str) else c
         return Bbox(self._points +
                     [(l + cx * (w - W)) - L,
                      (b + cy * (h - H)) - B])
 
     def shrunk(self, mx, my):
         """
-        Return a copy of the :class:`Bbox`, shrunk by the factor *mx*
+        Return a copy of the `Bbox`, shrunk by the factor *mx*
         in the *x* direction and the factor *my* in the *y* direction.
         The lower left corner of the box remains unchanged.  Normally
         *mx* and *my* will be less than 1, but this is not enforced.
         """
         w, h = self.size
         return Bbox([self._points[0],
-                    self._points[0] + [mx * w, my * h]])
+                     self._points[0] + [mx * w, my * h]])
 
     def shrunk_to_aspect(self, box_aspect, container=None, fig_aspect=1.0):
         """
-        Return a copy of the :class:`Bbox`, shrunk so that it is as
+        Return a copy of the `Bbox`, shrunk so that it is as
         large as it can be while having the desired aspect ratio,
-        *box_aspect*.  If the box coordinates are relative---that
-        is, fractions of a larger box such as a figure---then the
+        *box_aspect*.  If the box coordinates are relative (i.e.
+        fractions of a larger box such as a figure) then the
         physical aspect ratio of that figure is specified with
         *fig_aspect*, so that *box_aspect* can also be given as a
         ratio of the absolute dimensions, not the relative dimensions.
         """
-        assert box_aspect > 0 and fig_aspect > 0
+        if box_aspect <= 0 or fig_aspect <= 0:
+            raise ValueError("'box_aspect' and 'fig_aspect' must be positive")
         if container is None:
             container = self
         w, h = container.size
@@ -608,67 +537,57 @@ def shrunk_to_aspect(self, box_aspect, container=None, fig_aspect=1.0):
 
     def splitx(self, *args):
         """
-        e.g., ``bbox.splitx(f1, f2, ...)``
-
-        Returns a list of new :class:`Bbox` objects formed by
-        splitting the original one with vertical lines at fractional
-        positions *f1*, *f2*, ...
+        Return a list of new `Bbox` objects formed by splitting the original
+        one with vertical lines at fractional positions given by *args*.
         """
-        boxes = []
-        xf = [0] + list(args) + [1]
-        x0, y0, x1, y1 = self._get_extents()
+        xf = [0, *args, 1]
+        x0, y0, x1, y1 = self.extents
         w = x1 - x0
-        for xf0, xf1 in zip(xf[:-1], xf[1:]):
-            boxes.append(Bbox([[x0 + xf0 * w, y0], [x0 + xf1 * w, y1]]))
-        return boxes
+        return [Bbox([[x0 + xf0 * w, y0], [x0 + xf1 * w, y1]])
+                for xf0, xf1 in itertools.pairwise(xf)]
 
     def splity(self, *args):
         """
-        e.g., ``bbox.splitx(f1, f2, ...)``
-
-        Returns a list of new :class:`Bbox` objects formed by
-        splitting the original one with horizontal lines at fractional
-        positions *f1*, *f2*, ...
+        Return a list of new `Bbox` objects formed by splitting the original
+        one with horizontal lines at fractional positions given by *args*.
         """
-        boxes = []
-        yf = [0] + list(args) + [1]
-        x0, y0, x1, y1 = self._get_extents()
+        yf = [0, *args, 1]
+        x0, y0, x1, y1 = self.extents
         h = y1 - y0
-        for yf0, yf1 in zip(yf[:-1], yf[1:]):
-            boxes.append(Bbox([[x0, y0 + yf0 * h], [x1, y0 + yf1 * h]]))
-        return boxes
+        return [Bbox([[x0, y0 + yf0 * h], [x1, y0 + yf1 * h]])
+                for yf0, yf1 in itertools.pairwise(yf)]
 
     def count_contains(self, vertices):
         """
-        Count the number of vertices contained in the :class:`Bbox`.
+        Count the number of vertices contained in the `Bbox`.
+        Any vertices with a non-finite x or y value are ignored.
 
-        *vertices* is a Nx2 Numpy array.
+        Parameters
+        ----------
+        vertices : (N, 2) array
         """
         if len(vertices) == 0:
             return 0
         vertices = np.asarray(vertices)
-        x0, y0, x1, y1 = self._get_extents()
         with np.errstate(invalid='ignore'):
-            dx0 = np.sign(vertices[:, 0] - x0)
-            dy0 = np.sign(vertices[:, 1] - y0)
-            dx1 = np.sign(vertices[:, 0] - x1)
-            dy1 = np.sign(vertices[:, 1] - y1)
-        inside = ((abs(dx0 + dx1) + abs(dy0 + dy1)) == 0)
-        return np.sum(inside)
+            return (((self.min < vertices) &
+                     (vertices < self.max)).all(axis=1).sum())
 
     def count_overlaps(self, bboxes):
         """
         Count the number of bounding boxes that overlap this one.
 
-        bboxes is a sequence of :class:`BboxBase` objects
+        Parameters
+        ----------
+        bboxes : sequence of `.BboxBase`
         """
-        return count_bboxes_overlapping_bbox(self, [np.array(x) for x in bboxes])
+        return count_bboxes_overlapping_bbox(
+            self, np.atleast_3d([np.array(x) for x in bboxes]))
 
     def expanded(self, sw, sh):
         """
-        Return a new :class:`Bbox` which is this :class:`Bbox`
-        expanded around its center by the given factors *sw* and
-        *sh*.
+        Construct a `Bbox` by expanding this one around its center by the
+        factors *sw* and *sh*.
         """
         width = self.width
         height = self.height
@@ -677,36 +596,41 @@ def expanded(self, sw, sh):
         a = np.array([[-deltaw, -deltah], [deltaw, deltah]])
         return Bbox(self._points + a)
 
-    def padded(self, p):
+    def padded(self, w_pad, h_pad=None):
         """
-        Return a new :class:`Bbox` that is padded on all four sides by
-        the given value.
+        Construct a `Bbox` by padding this one on all four sides.
+
+        Parameters
+        ----------
+        w_pad : float
+            Width pad
+        h_pad : float, optional
+            Height pad.  Defaults to *w_pad*.
+
         """
         points = self.get_points()
-        return Bbox(points + [[-p, -p], [p, p]])
+        if h_pad is None:
+            h_pad = w_pad
+        return Bbox(points + [[-w_pad, -h_pad], [w_pad, h_pad]])
 
     def translated(self, tx, ty):
-        """
-        Return a copy of the :class:`Bbox`, statically translated by
-        *tx* and *ty*.
-        """
+        """Construct a `Bbox` by translating this one by *tx* and *ty*."""
         return Bbox(self._points + (tx, ty))
 
     def corners(self):
         """
-        Return an array of points which are the four corners of this
-        rectangle.  For example, if this :class:`Bbox` is defined by
-        the points (*a*, *b*) and (*c*, *d*), :meth:`corners` returns
-        (*a*, *b*), (*a*, *d*), (*c*, *b*) and (*c*, *d*).
+        Return the corners of this rectangle as an array of points.
+
+        Specifically, this returns the array
+        ``[[x0, y0], [x0, y1], [x1, y0], [x1, y1]]``.
         """
-        l, b, r, t = self.get_points().flatten()
-        return np.array([[l, b], [l, t], [r, b], [r, t]])
+        (x0, y0), (x1, y1) = self.get_points()
+        return np.array([[x0, y0], [x0, y1], [x1, y0], [x1, y1]])
 
     def rotated(self, radians):
         """
-        Return a new bounding box that bounds a rotated version of
-        this bounding box by the given radians.  The new bounding box
-        is still aligned with the axes, of course.
+        Return the axes-aligned bounding box that bounds the result of rotating
+        this `Bbox` by an angle of *radians*.
         """
         corners = self.corners()
         corners_rotated = Affine2D().rotate(radians).transform(corners)
@@ -716,76 +640,126 @@ def rotated(self, radians):
 
     @staticmethod
     def union(bboxes):
+        """Return a `Bbox` that contains all of the given *bboxes*."""
+        if not len(bboxes):
+            raise ValueError("'bboxes' cannot be empty")
+        x0 = np.min([bbox.xmin for bbox in bboxes])
+        x1 = np.max([bbox.xmax for bbox in bboxes])
+        y0 = np.min([bbox.ymin for bbox in bboxes])
+        y1 = np.max([bbox.ymax for bbox in bboxes])
+        return Bbox([[x0, y0], [x1, y1]])
+
+    @staticmethod
+    def intersection(bbox1, bbox2):
         """
-        Return a :class:`Bbox` that contains all of the given bboxes.
+        Return the intersection of *bbox1* and *bbox2* if they intersect, or
+        None if they don't.
         """
-        assert(len(bboxes))
+        x0 = np.maximum(bbox1.xmin, bbox2.xmin)
+        x1 = np.minimum(bbox1.xmax, bbox2.xmax)
+        y0 = np.maximum(bbox1.ymin, bbox2.ymin)
+        y1 = np.minimum(bbox1.ymax, bbox2.ymax)
+        return Bbox([[x0, y0], [x1, y1]]) if x0 <= x1 and y0 <= y1 else None
 
-        if len(bboxes) == 1:
-            return bboxes[0]
 
-        x0 = np.inf
-        y0 = np.inf
-        x1 = -np.inf
-        y1 = -np.inf
+_default_minpos = np.array([np.inf, np.inf])
 
-        for bbox in bboxes:
-            points = bbox.get_points()
-            xs = points[:, 0]
-            ys = points[:, 1]
-            x0 = min(x0, np.min(xs))
-            y0 = min(y0, np.min(ys))
-            x1 = max(x1, np.max(xs))
-            y1 = max(y1, np.max(ys))
 
-        return Bbox.from_extents(x0, y0, x1, y1)
+class Bbox(BboxBase):
+    """
+    A mutable bounding box.
 
-    @staticmethod
-    def intersection(bbox1, bbox2):
-        """
-        Return the intersection of the two bboxes or None
-        if they do not intersect.
+    Examples
+    --------
+    **Create from known bounds**
 
-        Implements the algorithm described at:
+    The default constructor takes the boundary "points" ``[[xmin, ymin],
+    [xmax, ymax]]``.
 
-            http://www.tekpool.com/node/2687
+        >>> Bbox([[1, 1], [3, 7]])
+        Bbox([[1.0, 1.0], [3.0, 7.0]])
 
-        """
-        intersects = not (bbox2.xmin > bbox1.xmax or
-                          bbox2.xmax < bbox1.xmin or
-                          bbox2.ymin > bbox1.ymax or
-                          bbox2.ymax < bbox1.ymin)
+    Alternatively, a Bbox can be created from the flattened points array, the
+    so-called "extents" ``(xmin, ymin, xmax, ymax)``
 
-        if intersects:
-            x0 = max([bbox1.xmin, bbox2.xmin])
-            x1 = min([bbox1.xmax, bbox2.xmax])
-            y0 = max([bbox1.ymin, bbox2.ymin])
-            y1 = min([bbox1.ymax, bbox2.ymax])
-            return Bbox.from_extents(x0, y0, x1, y1)
+        >>> Bbox.from_extents(1, 1, 3, 7)
+        Bbox([[1.0, 1.0], [3.0, 7.0]])
 
-        return None
+    or from the "bounds" ``(xmin, ymin, width, height)``.
 
+        >>> Bbox.from_bounds(1, 1, 2, 6)
+        Bbox([[1.0, 1.0], [3.0, 7.0]])
 
-class Bbox(BboxBase):
-    """
-    A mutable bounding box.
+    **Create from collections of points**
+
+    The "empty" object for accumulating Bboxs is the null bbox, which is a
+    stand-in for the empty set.
+
+        >>> Bbox.null()
+        Bbox([[inf, inf], [-inf, -inf]])
+
+    Adding points to the null bbox will give you the bbox of those points.
+
+        >>> box = Bbox.null()
+        >>> box.update_from_data_xy([[1, 1]])
+        >>> box
+        Bbox([[1.0, 1.0], [1.0, 1.0]])
+        >>> box.update_from_data_xy([[2, 3], [3, 2]], ignore=False)
+        >>> box
+        Bbox([[1.0, 1.0], [3.0, 3.0]])
+
+    Setting ``ignore=True`` is equivalent to starting over from a null bbox.
+
+        >>> box.update_from_data_xy([[1, 1]], ignore=True)
+        >>> box
+        Bbox([[1.0, 1.0], [1.0, 1.0]])
+
+    .. warning::
+
+        It is recommended to always specify ``ignore`` explicitly.  If not, the
+        default value of ``ignore`` can be changed at any time by code with
+        access to your Bbox, for example using the method `~.Bbox.ignore`.
+
+    **Properties of the ``null`` bbox**
+
+    .. note::
+
+        The current behavior of `Bbox.null()` may be surprising as it does
+        not have all of the properties of the "empty set", and as such does
+        not behave like a "zero" object in the mathematical sense. We may
+        change that in the future (with a deprecation period).
+
+    The null bbox is the identity for intersections
+
+        >>> Bbox.intersection(Bbox([[1, 1], [3, 7]]), Bbox.null())
+        Bbox([[1.0, 1.0], [3.0, 7.0]])
+
+    except with itself, where it returns the full space.
+
+        >>> Bbox.intersection(Bbox.null(), Bbox.null())
+        Bbox([[-inf, -inf], [inf, inf]])
+
+    A union containing null will always return the full space (not the other
+    set!)
+
+        >>> Bbox.union([Bbox([[0, 0], [0, 0]]), Bbox.null()])
+        Bbox([[-inf, -inf], [inf, inf]])
     """
 
     def __init__(self, points, **kwargs):
         """
-        *points*: a 2x2 numpy array of the form [[x0, y0], [x1, y1]]
-
-        If you need to create a :class:`Bbox` object from another form
-        of data, consider the static methods :meth:`unit`,
-        :meth:`from_bounds` and :meth:`from_extents`.
+        Parameters
+        ----------
+        points : `~numpy.ndarray`
+            A (2, 2) array of the form ``[[x0, y0], [x1, y1]]``.
         """
-        BboxBase.__init__(self, **kwargs)
-        points = np.asarray(points, np.float_)
+        super().__init__(**kwargs)
+        points = np.asarray(points, float)
         if points.shape != (2, 2):
             raise ValueError('Bbox points must be of the form '
                              '"[[x0, y0], [x1, y1]]".')
         self._points = points
-        self._minpos = np.array([0.0000001, 0.0000001])
+        self._minpos = _default_minpos.copy()
         self._ignore = True
         # it is helpful in some contexts to know if the bbox is a
         # default or has been mutated; we store the orig points to
@@ -800,44 +774,53 @@ def __init__(self, points, **kwargs):
 
         def invalidate(self):
             self._check(self._points)
-            TransformNode.invalidate(self)
+            super().invalidate()
+
+    def frozen(self):
+        # docstring inherited
+        frozen_bbox = super().frozen()
+        frozen_bbox._minpos = self.minpos.copy()
+        return frozen_bbox
 
     @staticmethod
     def unit():
-        """
-        (staticmethod) Create a new unit :class:`Bbox` from (0, 0) to
-        (1, 1).
-        """
-        return Bbox(np.array([[0.0, 0.0], [1.0, 1.0]], np.float))
+        """Create a new unit `Bbox` from (0, 0) to (1, 1)."""
+        return Bbox([[0, 0], [1, 1]])
 
     @staticmethod
     def null():
-        """
-        (staticmethod) Create a new null :class:`Bbox` from (inf, inf) to
-        (-inf, -inf).
-        """
-        return Bbox(np.array([[np.inf, np.inf], [-np.inf, -np.inf]], np.float))
+        """Create a new null `Bbox` from (inf, inf) to (-inf, -inf)."""
+        return Bbox([[np.inf, np.inf], [-np.inf, -np.inf]])
 
     @staticmethod
     def from_bounds(x0, y0, width, height):
         """
-        (staticmethod) Create a new :class:`Bbox` from *x0*, *y0*,
-        *width* and *height*.
+        Create a new `Bbox` from *x0*, *y0*, *width* and *height*.
 
         *width* and *height* may be negative.
         """
         return Bbox.from_extents(x0, y0, x0 + width, y0 + height)
 
     @staticmethod
-    def from_extents(*args):
+    def from_extents(*args, minpos=None):
         """
-        (staticmethod) Create a new Bbox from *left*, *bottom*,
-        *right* and *top*.
+        Create a new Bbox from *left*, *bottom*, *right* and *top*.
 
         The *y*-axis increases upwards.
-        """
-        points = np.array(args, dtype=np.float_).reshape(2, 2)
-        return Bbox(points)
+
+        Parameters
+        ----------
+        left, bottom, right, top : float
+            The four extents of the bounding box.
+        minpos : float or None
+            If this is supplied, the Bbox will have a minimum positive value
+            set. This is useful when dealing with logarithmic scales and other
+            scales where negative bounds result in floating point errors.
+        """
+        bbox = Bbox(np.reshape(args, (2, 2)))
+        if minpos is not None:
+            bbox._minpos[:] = minpos
+        return bbox
 
     def __format__(self, fmt):
         return (
@@ -853,69 +836,60 @@ def __repr__(self):
     def ignore(self, value):
         """
         Set whether the existing bounds of the box should be ignored
-        by subsequent calls to :meth:`update_from_data` or
-        :meth:`update_from_data_xy`.
-
-        *value*:
+        by subsequent calls to :meth:`update_from_data_xy`.
 
-           - When True, subsequent calls to :meth:`update_from_data`
-             will ignore the existing bounds of the :class:`Bbox`.
-
-           - When False, subsequent calls to :meth:`update_from_data`
-             will include the existing bounds of the :class:`Bbox`.
+        value : bool
+            - When ``True``, subsequent calls to `update_from_data_xy` will
+              ignore the existing bounds of the `Bbox`.
+            - When ``False``, subsequent calls to `update_from_data_xy` will
+              include the existing bounds of the `Bbox`.
         """
         self._ignore = value
 
-    def update_from_data(self, x, y, ignore=None):
-        """
-        Update the bounds of the :class:`Bbox` based on the passed in
-        data.  After updating, the bounds will have positive *width*
-        and *height*; *x0* and *y0* will be the minimal values.
-
-        *x*: a numpy array of *x*-values
-
-        *y*: a numpy array of *y*-values
-
-        *ignore*:
-           - when True, ignore the existing bounds of the :class:`Bbox`.
-           - when False, include the existing bounds of the :class:`Bbox`.
-           - when None, use the last value passed to :meth:`ignore`.
-        """
-        warnings.warn(
-            "update_from_data requires a memory copy -- please replace with "
-            "update_from_data_xy")
-
-        xy = np.hstack((x.reshape((len(x), 1)), y.reshape((len(y), 1))))
-        return self.update_from_data_xy(xy, ignore)
-
     def update_from_path(self, path, ignore=None, updatex=True, updatey=True):
         """
-        Update the bounds of the :class:`Bbox` based on the passed in
-        data.  After updating, the bounds will have positive *width*
+        Update the bounds of the `Bbox` to contain the vertices of the
+        provided path. After updating, the bounds will have positive *width*
         and *height*; *x0* and *y0* will be the minimal values.
 
-        *path*: a :class:`~matplotlib.path.Path` instance
-
-        *ignore*:
-           - when True, ignore the existing bounds of the :class:`Bbox`.
-           - when False, include the existing bounds of the :class:`Bbox`.
-           - when None, use the last value passed to :meth:`ignore`.
-
-        *updatex*: when True, update the x values
-
-        *updatey*: when True, update the y values
-
+        Parameters
+        ----------
+        path : `~matplotlib.path.Path`
+        ignore : bool, optional
+           - When ``True``, ignore the existing bounds of the `Bbox`.
+           - When ``False``, include the existing bounds of the `Bbox`.
+           - When ``None``, use the last value passed to :meth:`ignore`.
+        updatex, updatey : bool, default: True
+            When ``True``, update the x/y values.
         """
         if ignore is None:
             ignore = self._ignore
 
-        if path.vertices.size == 0:
+        if path.vertices.size == 0 or not (updatex or updatey):
             return
 
-        points, minpos, changed = update_path_extents(
-            path, None, self._points, self._minpos, ignore)
-
-        if changed:
+        if ignore:
+            points = np.array([[np.inf, np.inf], [-np.inf, -np.inf]])
+            minpos = np.array([np.inf, np.inf])
+        else:
+            points = self._points.copy()
+            minpos = self._minpos.copy()
+
+        valid_points = (np.isfinite(path.vertices[..., 0])
+                        & np.isfinite(path.vertices[..., 1]))
+
+        if updatex:
+            x = path.vertices[..., 0][valid_points]
+            points[0, 0] = min(points[0, 0], np.min(x, initial=np.inf))
+            points[1, 0] = max(points[1, 0], np.max(x, initial=-np.inf))
+            minpos[0] = min(minpos[0], np.min(x[x > 0], initial=np.inf))
+        if updatey:
+            y = path.vertices[..., 1][valid_points]
+            points[0, 1] = min(points[0, 1], np.min(y, initial=np.inf))
+            points[1, 1] = max(points[1, 1], np.max(y, initial=-np.inf))
+            minpos[1] = min(minpos[1], np.min(y[y > 0], initial=np.inf))
+
+        if np.any(points != self._points) or np.any(minpos != self._minpos):
             self.invalidate()
             if updatex:
                 self._points[:, 0] = points[:, 0]
@@ -924,103 +898,177 @@ def update_from_path(self, path, ignore=None, updatex=True, updatey=True):
                 self._points[:, 1] = points[:, 1]
                 self._minpos[1] = minpos[1]
 
+    def update_from_data_x(self, x, ignore=None):
+        """
+        Update the x-bounds of the `Bbox` based on the passed in data. After
+        updating, the bounds will have positive *width*, and *x0* will be the
+        minimal value.
+
+        Parameters
+        ----------
+        x : `~numpy.ndarray`
+            Array of x-values.
+        ignore : bool, optional
+           - When ``True``, ignore the existing bounds of the `Bbox`.
+           - When ``False``, include the existing bounds of the `Bbox`.
+           - When ``None``, use the last value passed to :meth:`ignore`.
+        """
+        x = np.ravel(x)
+        # The y-component in np.array([x, *y*]).T is not used. We simply pass
+        # x again to not spend extra time on creating an array of unused data
+        self.update_from_data_xy(np.array([x, x]).T, ignore=ignore, updatey=False)
+
+    def update_from_data_y(self, y, ignore=None):
+        """
+        Update the y-bounds of the `Bbox` based on the passed in data. After
+        updating, the bounds will have positive *height*, and *y0* will be the
+        minimal value.
+
+        Parameters
+        ----------
+        y : `~numpy.ndarray`
+            Array of y-values.
+        ignore : bool, optional
+            - When ``True``, ignore the existing bounds of the `Bbox`.
+            - When ``False``, include the existing bounds of the `Bbox`.
+            - When ``None``, use the last value passed to :meth:`ignore`.
+        """
+        y = np.ravel(y)
+        # The x-component in np.array([*x*, y]).T is not used. We simply pass
+        # y again to not spend extra time on creating an array of unused data
+        self.update_from_data_xy(np.array([y, y]).T, ignore=ignore, updatex=False)
+
     def update_from_data_xy(self, xy, ignore=None, updatex=True, updatey=True):
         """
-        Update the bounds of the :class:`Bbox` based on the passed in
-        data.  After updating, the bounds will have positive *width*
-        and *height*; *x0* and *y0* will be the minimal values.
-
-        *xy*: a numpy array of 2D points
+        Update the `Bbox` bounds based on the passed in *xy* coordinates.
 
-        *ignore*:
-           - when True, ignore the existing bounds of the :class:`Bbox`.
-           - when False, include the existing bounds of the :class:`Bbox`.
-           - when None, use the last value passed to :meth:`ignore`.
+        After updating, the bounds will have positive *width* and *height*;
+        *x0* and *y0* will be the minimal values.
 
-        *updatex*: when True, update the x values
-
-        *updatey*: when True, update the y values
+        Parameters
+        ----------
+        xy : (N, 2) array-like
+            The (x, y) coordinates.
+        ignore : bool, optional
+            - When ``True``, ignore the existing bounds of the `Bbox`.
+            - When ``False``, include the existing bounds of the `Bbox`.
+            - When ``None``, use the last value passed to :meth:`ignore`.
+        updatex, updatey : bool, default: True
+             When ``True``, update the x/y values.
         """
         if len(xy) == 0:
             return
 
         path = Path(xy)
         self.update_from_path(path, ignore=ignore,
-                                    updatex=updatex, updatey=updatey)
+                              updatex=updatex, updatey=updatey)
 
-    def _set_x0(self, val):
+    @BboxBase.x0.setter
+    def x0(self, val):
         self._points[0, 0] = val
         self.invalidate()
-    x0 = property(BboxBase._get_x0, _set_x0)
 
-    def _set_y0(self, val):
+    @BboxBase.y0.setter
+    def y0(self, val):
         self._points[0, 1] = val
         self.invalidate()
-    y0 = property(BboxBase._get_y0, _set_y0)
 
-    def _set_x1(self, val):
+    @BboxBase.x1.setter
+    def x1(self, val):
         self._points[1, 0] = val
         self.invalidate()
-    x1 = property(BboxBase._get_x1, _set_x1)
 
-    def _set_y1(self, val):
+    @BboxBase.y1.setter
+    def y1(self, val):
         self._points[1, 1] = val
         self.invalidate()
-    y1 = property(BboxBase._get_y1, _set_y1)
 
-    def _set_p0(self, val):
+    @BboxBase.p0.setter
+    def p0(self, val):
         self._points[0] = val
         self.invalidate()
-    p0 = property(BboxBase._get_p0, _set_p0)
 
-    def _set_p1(self, val):
+    @BboxBase.p1.setter
+    def p1(self, val):
         self._points[1] = val
         self.invalidate()
-    p1 = property(BboxBase._get_p1, _set_p1)
 
-    def _set_intervalx(self, interval):
+    @BboxBase.intervalx.setter
+    def intervalx(self, interval):
         self._points[:, 0] = interval
         self.invalidate()
-    intervalx = property(BboxBase._get_intervalx, _set_intervalx)
 
-    def _set_intervaly(self, interval):
+    @BboxBase.intervaly.setter
+    def intervaly(self, interval):
         self._points[:, 1] = interval
         self.invalidate()
-    intervaly = property(BboxBase._get_intervaly, _set_intervaly)
 
-    def _set_bounds(self, bounds):
+    @BboxBase.bounds.setter
+    def bounds(self, bounds):
         l, b, w, h = bounds
-        points = np.array([[l, b], [l + w, b + h]], np.float_)
+        points = np.array([[l, b], [l + w, b + h]], float)
         if np.any(self._points != points):
             self._points = points
             self.invalidate()
-    bounds = property(BboxBase._get_bounds, _set_bounds)
 
-    def _get_minpos(self):
+    @property
+    def minpos(self):
+        """
+        The minimum positive value in both directions within the Bbox.
+
+        This is useful when dealing with logarithmic scales and other scales
+        where negative bounds result in floating point errors, and will be used
+        as the minimum extent instead of *p0*.
+        """
         return self._minpos
-    minpos = property(_get_minpos)
 
-    def _get_minposx(self):
+    @minpos.setter
+    def minpos(self, val):
+        self._minpos[:] = val
+
+    @property
+    def minposx(self):
+        """
+        The minimum positive value in the *x*-direction within the Bbox.
+
+        This is useful when dealing with logarithmic scales and other scales
+        where negative bounds result in floating point errors, and will be used
+        as the minimum *x*-extent instead of *x0*.
+        """
         return self._minpos[0]
-    minposx = property(_get_minposx)
 
-    def _get_minposy(self):
+    @minposx.setter
+    def minposx(self, val):
+        self._minpos[0] = val
+
+    @property
+    def minposy(self):
+        """
+        The minimum positive value in the *y*-direction within the Bbox.
+
+        This is useful when dealing with logarithmic scales and other scales
+        where negative bounds result in floating point errors, and will be used
+        as the minimum *y*-extent instead of *y0*.
+        """
         return self._minpos[1]
-    minposy = property(_get_minposy)
+
+    @minposy.setter
+    def minposy(self, val):
+        self._minpos[1] = val
 
     def get_points(self):
         """
-        Get the points of the bounding box directly as a numpy array
-        of the form: [[x0, y0], [x1, y1]].
+        Get the points of the bounding box as an array of the form
+        ``[[x0, y0], [x1, y1]]``.
         """
         self._invalid = 0
         return self._points
 
     def set_points(self, points):
         """
-        Set the points of the bounding box directly from a numpy array
-        of the form: [[x0, y0], [x1, y1]].  No error checking is
-        performed, as this method is mainly for internal use.
+        Set the points of the bounding box directly from an array of the form
+        ``[[x0, y0], [x1, y1]]``.  No error checking is performed, as this
+        method is mainly for internal use.
         """
         if np.any(self._points != points):
             self._points = points
@@ -1028,62 +1076,149 @@ def set_points(self, points):
 
     def set(self, other):
         """
-        Set this bounding box from the "frozen" bounds of another
-        :class:`Bbox`.
+        Set this bounding box from the "frozen" bounds of another `Bbox`.
         """
         if np.any(self._points != other.get_points()):
             self._points = other.get_points()
             self.invalidate()
 
     def mutated(self):
-        'return whether the bbox has changed since init'
+        """Return whether the bbox has changed since init."""
         return self.mutatedx() or self.mutatedy()
 
     def mutatedx(self):
-        'return whether the x-limits have changed since init'
+        """Return whether the x-limits have changed since init."""
         return (self._points[0, 0] != self._points_orig[0, 0] or
                 self._points[1, 0] != self._points_orig[1, 0])
 
     def mutatedy(self):
-        'return whether the y-limits have changed since init'
+        """Return whether the y-limits have changed since init."""
         return (self._points[0, 1] != self._points_orig[0, 1] or
                 self._points[1, 1] != self._points_orig[1, 1])
 
 
 class TransformedBbox(BboxBase):
     """
-    A :class:`Bbox` that is automatically transformed by a given
+    A `Bbox` that is automatically transformed by a given
     transform.  When either the child bounding box or transform
     changes, the bounds of this bbox will update accordingly.
     """
+
     def __init__(self, bbox, transform, **kwargs):
         """
-        *bbox*: a child :class:`Bbox`
-
-        *transform*: a 2D :class:`Transform`
+        Parameters
+        ----------
+        bbox : `Bbox`
+        transform : `Transform`
         """
-        assert bbox.is_bbox
-        assert isinstance(transform, Transform)
-        assert transform.input_dims == 2
-        assert transform.output_dims == 2
+        _api.check_isinstance(BboxBase, bbox=bbox)
+        _api.check_isinstance(Transform, transform=transform)
+        if transform.input_dims != 2 or transform.output_dims != 2:
+            raise ValueError(
+                "The input and output dimensions of 'transform' must be 2")
 
-        BboxBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._bbox = bbox
         self._transform = transform
         self.set_children(bbox, transform)
         self._points = None
 
-    def __repr__(self):
-        return "TransformedBbox(%r, %r)" % (self._bbox, self._transform)
+    __str__ = _make_str_method("_bbox", "_transform")
 
     def get_points(self):
+        # docstring inherited
         if self._invalid:
-            points = self._transform.transform(self._bbox.get_points())
+            p = self._bbox.get_points()
+            # Transform all four points, then make a new bounding box
+            # from the result, taking care to make the orientation the
+            # same.
+            points = self._transform.transform(
+                [[p[0, 0], p[0, 1]],
+                 [p[1, 0], p[0, 1]],
+                 [p[0, 0], p[1, 1]],
+                 [p[1, 0], p[1, 1]]])
             points = np.ma.filled(points, 0.0)
-            self._points = points
+
+            xs = min(points[:, 0]), max(points[:, 0])
+            if p[0, 0] > p[1, 0]:
+                xs = xs[::-1]
+
+            ys = min(points[:, 1]), max(points[:, 1])
+            if p[0, 1] > p[1, 1]:
+                ys = ys[::-1]
+
+            self._points = np.array([
+                [xs[0], ys[0]],
+                [xs[1], ys[1]]
+            ])
+
+            self._invalid = 0
+        return self._points
+
+    if DEBUG:
+        _get_points = get_points
+
+        def get_points(self):
+            points = self._get_points()
+            self._check(points)
+            return points
+
+    def contains(self, x, y):
+        # Docstring inherited.
+        return self._bbox.contains(*self._transform.inverted().transform((x, y)))
+
+    def fully_contains(self, x, y):
+        # Docstring inherited.
+        return self._bbox.fully_contains(*self._transform.inverted().transform((x, y)))
+
+
+class LockableBbox(BboxBase):
+    """
+    A `Bbox` where some elements may be locked at certain values.
+
+    When the child bounding box changes, the bounds of this bbox will update
+    accordingly with the exception of the locked elements.
+    """
+    def __init__(self, bbox, x0=None, y0=None, x1=None, y1=None, **kwargs):
+        """
+        Parameters
+        ----------
+        bbox : `Bbox`
+            The child bounding box to wrap.
+
+        x0 : float or None
+            The locked value for x0, or None to leave unlocked.
+
+        y0 : float or None
+            The locked value for y0, or None to leave unlocked.
+
+        x1 : float or None
+            The locked value for x1, or None to leave unlocked.
+
+        y1 : float or None
+            The locked value for y1, or None to leave unlocked.
+
+        """
+        _api.check_isinstance(BboxBase, bbox=bbox)
+        super().__init__(**kwargs)
+        self._bbox = bbox
+        self.set_children(bbox)
+        self._points = None
+        fp = [x0, y0, x1, y1]
+        mask = [val is None for val in fp]
+        self._locked_points = np.ma.array(fp, float, mask=mask).reshape((2, 2))
+
+    __str__ = _make_str_method("_bbox", "_locked_points")
+
+    def get_points(self):
+        # docstring inherited
+        if self._invalid:
+            points = self._bbox.get_points()
+            self._points = np.where(self._locked_points.mask,
+                                    points,
+                                    self._locked_points)
             self._invalid = 0
         return self._points
-    get_points.__doc__ = Bbox.get_points.__doc__
 
     if DEBUG:
         _get_points = get_points
@@ -1093,32 +1228,101 @@ def get_points(self):
             self._check(points)
             return points
 
+    @property
+    def locked_x0(self):
+        """
+        float or None: The value used for the locked x0.
+        """
+        if self._locked_points.mask[0, 0]:
+            return None
+        else:
+            return self._locked_points[0, 0]
+
+    @locked_x0.setter
+    def locked_x0(self, x0):
+        self._locked_points.mask[0, 0] = x0 is None
+        self._locked_points.data[0, 0] = x0
+        self.invalidate()
+
+    @property
+    def locked_y0(self):
+        """
+        float or None: The value used for the locked y0.
+        """
+        if self._locked_points.mask[0, 1]:
+            return None
+        else:
+            return self._locked_points[0, 1]
+
+    @locked_y0.setter
+    def locked_y0(self, y0):
+        self._locked_points.mask[0, 1] = y0 is None
+        self._locked_points.data[0, 1] = y0
+        self.invalidate()
+
+    @property
+    def locked_x1(self):
+        """
+        float or None: The value used for the locked x1.
+        """
+        if self._locked_points.mask[1, 0]:
+            return None
+        else:
+            return self._locked_points[1, 0]
+
+    @locked_x1.setter
+    def locked_x1(self, x1):
+        self._locked_points.mask[1, 0] = x1 is None
+        self._locked_points.data[1, 0] = x1
+        self.invalidate()
+
+    @property
+    def locked_y1(self):
+        """
+        float or None: The value used for the locked y1.
+        """
+        if self._locked_points.mask[1, 1]:
+            return None
+        else:
+            return self._locked_points[1, 1]
+
+    @locked_y1.setter
+    def locked_y1(self, y1):
+        self._locked_points.mask[1, 1] = y1 is None
+        self._locked_points.data[1, 1] = y1
+        self.invalidate()
+
 
 class Transform(TransformNode):
     """
-    The base class of all :class:`TransformNode` instances that
+    The base class of all `TransformNode` instances that
     actually perform a transformation.
 
     All non-affine transformations should be subclasses of this class.
-    New affine transformations should be subclasses of
-    :class:`Affine2D`.
+    New affine transformations should be subclasses of `Affine2D`.
 
     Subclasses of this class should override the following members (at
     minimum):
 
-      - :attr:`input_dims`
-      - :attr:`output_dims`
-      - :meth:`transform`
-      - :attr:`is_separable`
-      - :attr:`has_inverse`
-      - :meth:`inverted` (if :attr:`has_inverse` is True)
+    - :attr:`input_dims`
+    - :attr:`output_dims`
+    - :meth:`transform`
+    - :meth:`inverted` (if an inverse exists)
+
+    The following attributes may be overridden if the default is unsuitable:
+
+    - :attr:`is_separable` (defaults to True for 1D -> 1D transforms, False
+      otherwise)
+    - :attr:`has_inverse` (defaults to True if :meth:`inverted` is overridden,
+      False otherwise)
 
     If the transform needs to do something non-standard with
-    :class:`matplotlib.path.Path` objects, such as adding curves
+    `matplotlib.path.Path` objects, such as adding curves
     where there were once line segments, it should override:
 
-      - :meth:`transform_path`
+    - :meth:`transform_path`
     """
+
     input_dims = None
     """
     The number of input dimensions of this transform.
@@ -1131,55 +1335,59 @@ class Transform(TransformNode):
     Must be overridden (with integers) in the subclass.
     """
 
+    is_separable = False
+    """True if this transform is separable in the x- and y- dimensions."""
+
     has_inverse = False
     """True if this transform has a corresponding inverse transform."""
 
-    is_separable = False
-    """True if this transform is separable in the x- and y- dimensions."""
+    def __init_subclass__(cls):
+        # 1d transforms are always separable; we assume higher-dimensional ones
+        # are not but subclasses can also directly set is_separable -- this is
+        # verified by checking whether "is_separable" appears more than once in
+        # the class's MRO (it appears once in Transform).
+        if (sum("is_separable" in vars(parent) for parent in cls.__mro__) == 1
+                and cls.input_dims == cls.output_dims == 1):
+            cls.is_separable = True
+        # Transform.inverted raises NotImplementedError; we assume that if this
+        # is overridden then the transform is invertible but subclass can also
+        # directly set has_inverse.
+        if (sum("has_inverse" in vars(parent) for parent in cls.__mro__) == 1
+                and hasattr(cls, "inverted")
+                and cls.inverted is not Transform.inverted):
+            cls.has_inverse = True
 
     def __add__(self, other):
         """
-        Composes two transforms together such that *self* is followed
-        by *other*.
-        """
-        if isinstance(other, Transform):
-            return composite_transform_factory(self, other)
-        raise TypeError(
-            "Can not add Transform to object of type '%s'" % type(other))
+        Compose two transforms together so that *self* is followed by *other*.
 
-    def __radd__(self, other):
-        """
-        Composes two transforms together such that *self* is followed
-        by *other*.
+        ``A + B`` returns a transform ``C`` so that
+        ``C.transform(x) == B.transform(A.transform(x))``.
         """
-        if isinstance(other, Transform):
-            return composite_transform_factory(other, self)
-        raise TypeError(
-            "Can not add Transform to object of type '%s'" % type(other))
+        return (composite_transform_factory(self, other)
+                if isinstance(other, Transform) else
+                NotImplemented)
 
-    def __eq__(self, other):
-        # equality is based on transform object id. Hence:
-        # Transform() != Transform().
-        # Some classes, such as TransformWrapper & AffineBase, will override.
-        return self is other
+    # Equality is based on object identity for `Transform`s (so we don't
+    # override `__eq__`), but some subclasses, such as TransformWrapper &
+    # AffineBase, override this behavior.
 
     def _iter_break_from_left_to_right(self):
         """
-        Returns an iterator breaking down this transform stack from left to
+        Return an iterator breaking down this transform stack from left to
         right recursively. If self == ((A, N), A) then the result will be an
         iterator which yields I : ((A, N), A), followed by A : (N, A),
         followed by (A, N) : (A), but not ((A, N), A) : I.
 
         This is equivalent to flattening the stack then yielding
         ``flat_stack[:i], flat_stack[i:]`` where i=0..(n-1).
-
         """
         yield IdentityTransform(), self
 
     @property
     def depth(self):
         """
-        Returns the number of transforms which have been chained
+        Return the number of transforms which have been chained
         together to form this Transform instance.
 
         .. note::
@@ -1199,7 +1407,6 @@ def contains_branch(self, other):
 
         For the case where the given transform represents the whole
         of this transform, returns True.
-
         """
         if self.depth < other.depth:
             return False
@@ -1212,11 +1419,11 @@ def contains_branch(self, other):
 
     def contains_branch_seperately(self, other_transform):
         """
-        Returns whether the given branch is a sub-tree of this transform on
-        each seperate dimension.
+        Return whether the given branch is a sub-tree of this transform on
+        each separate dimension.
 
         A common use for this method is to identify if a transform is a blended
-        transform containing an axes' data transform. e.g.::
+        transform containing an Axes' data transform. e.g.::
 
             x_isdata, y_isdata = trans.contains_branch_seperately(ax.transData)
 
@@ -1224,47 +1431,52 @@ def contains_branch_seperately(self, other_transform):
         if self.output_dims != 2:
             raise ValueError('contains_branch_seperately only supports '
                              'transforms with 2 output dimensions')
-        # for a non-blended transform each seperate dimension is the same, so
+        # for a non-blended transform each separate dimension is the same, so
         # just return the appropriate shape.
-        return [self.contains_branch(other_transform)] * 2
+        return (self.contains_branch(other_transform), ) * 2
 
     def __sub__(self, other):
         """
-        Returns a transform stack which goes all the way down self's transform
-        stack, and then ascends back up other's stack. If it can, this is
-        optimised::
-
-            # normally
-            A - B == a + b.inverted()
+        Compose *self* with the inverse of *other*, cancelling identical terms
+        if any::
 
-            # sometimes, when A contains the tree B there is no need to
-            # descend all the way down to the base of A (via B), instead we
-            # can just stop at B.
+            # In general:
+            A - B == A + B.inverted()
+            # (but see note regarding frozen transforms below).
 
-            (A + B) - (B)^-1 == A
+            # If A "ends with" B (i.e. A == A' + B for some A') we can cancel
+            # out B:
+            (A' + B) - B == A'
 
-            # similarly, when B contains tree A, we can avoid decending A at
-            # all, basically:
-            A - (A + B) == ((B + A) - A).inverted() or B^-1
+            # Likewise, if B "starts with" A (B = A + B'), we can cancel out A:
+            A - (A + B') == B'.inverted() == B'^-1
 
-        For clarity, the result of ``(A + B) - B + B == (A + B)``.
+        Cancellation (rather than naively returning ``A + B.inverted()``) is
+        important for multiple reasons:
 
+        - It avoids floating-point inaccuracies when computing the inverse of
+          B: ``B - B`` is guaranteed to cancel out exactly (resulting in the
+          identity transform), whereas ``B + B.inverted()`` may differ by a
+          small epsilon.
+        - ``B.inverted()`` always returns a frozen transform: if one computes
+          ``A + B + B.inverted()`` and later mutates ``B``, then
+          ``B.inverted()`` won't be updated and the last two terms won't cancel
+          out anymore; on the other hand, ``A + B - B`` will always be equal to
+          ``A`` even if ``B`` is mutated.
         """
         # we only know how to do this operation if other is a Transform.
         if not isinstance(other, Transform):
             return NotImplemented
-
         for remainder, sub_tree in self._iter_break_from_left_to_right():
             if sub_tree == other:
                 return remainder
-
         for remainder, sub_tree in other._iter_break_from_left_to_right():
             if sub_tree == self:
                 if not remainder.has_inverse:
-                    raise ValueError("The shortcut cannot be computed since "
-                     "other's transform includes a non-invertable component.")
+                    raise ValueError(
+                        "The shortcut cannot be computed since 'other' "
+                        "includes a non-invertible component")
                 return remainder.inverted()
-
         # if we have got this far, then there was no shortcut possible
         if other.has_inverse:
             return self + other.inverted()
@@ -1274,23 +1486,49 @@ def __sub__(self, other):
                              'shortcut possible.')
 
     def __array__(self, *args, **kwargs):
-        """
-        Array interface to get at this Transform's affine matrix.
-        """
+        """Array interface to get at this Transform's affine matrix."""
         return self.get_affine().get_matrix()
 
     def transform(self, values):
         """
-        Performs the transformation on the given array of values.
-
-        Accepts a numpy array of shape (N x :attr:`input_dims`) and
-        returns a numpy array of shape (N x :attr:`output_dims`).
-        """
-        return self.transform_affine(self.transform_non_affine(values))
+        Apply this transformation on the given array of *values*.
+
+        Parameters
+        ----------
+        values : array-like
+            The input values as an array of length :attr:`~Transform.input_dims` or
+            shape (N, :attr:`~Transform.input_dims`).
+
+        Returns
+        -------
+        array
+            The output values as an array of length :attr:`~Transform.output_dims` or
+            shape (N, :attr:`~Transform.output_dims`), depending on the input.
+        """
+        # Ensure that values is a 2d array (but remember whether
+        # we started with a 1d or 2d array).
+        values = np.asanyarray(values)
+        ndim = values.ndim
+        values = values.reshape((-1, self.input_dims))
+
+        # Transform the values
+        res = self.transform_affine(self.transform_non_affine(values))
+
+        # Convert the result back to the shape of the input values.
+        if ndim == 0:
+            assert not np.ma.is_masked(res)  # just to be on the safe side
+            return res[0, 0]
+        if ndim == 1:
+            return res.reshape(-1)
+        elif ndim == 2:
+            return res
+        raise ValueError(
+            "Input values must have shape (N, {dims}) or ({dims},)"
+            .format(dims=self.input_dims))
 
     def transform_affine(self, values):
         """
-        Performs only the affine part of this transformation on the
+        Apply only the affine part of this transformation on the
         given array of values.
 
         ``transform(values)`` is always equivalent to
@@ -1300,14 +1538,23 @@ def transform_affine(self, values):
         affine transformations, this is equivalent to
         ``transform(values)``.
 
-        Accepts a numpy array of shape (N x :attr:`input_dims`) and
-        returns a numpy array of shape (N x :attr:`output_dims`).
+        Parameters
+        ----------
+        values : array
+            The input values as an array of length :attr:`~Transform.input_dims` or
+            shape (N, :attr:`~Transform.input_dims`).
+
+        Returns
+        -------
+        array
+            The output values as an array of length :attr:`~Transform.output_dims` or
+            shape (N, :attr:`~Transform.output_dims`), depending on the input.
         """
         return self.get_affine().transform(values)
 
     def transform_non_affine(self, values):
         """
-        Performs only the non-affine part of the transformation.
+        Apply only the non-affine part of this transformation.
 
         ``transform(values)`` is always equivalent to
         ``transform_affine(transform_non_affine(values))``.
@@ -1316,42 +1563,59 @@ def transform_non_affine(self, values):
         ``transform(values)``.  In affine transformations, this is
         always a no-op.
 
-        Accepts a numpy array of shape (N x :attr:`input_dims`) and
-        returns a numpy array of shape (N x :attr:`output_dims`).
+        Parameters
+        ----------
+        values : array
+            The input values as an array of length
+            :attr:`~matplotlib.transforms.Transform.input_dims` or
+            shape (N, :attr:`~matplotlib.transforms.Transform.input_dims`).
+
+        Returns
+        -------
+        array
+            The output values as an array of length
+            :attr:`~matplotlib.transforms.Transform.output_dims` or shape
+            (N, :attr:`~matplotlib.transforms.Transform.output_dims`),
+            depending on the input.
         """
         return values
 
-    def get_affine(self):
+    def transform_bbox(self, bbox):
         """
-        Get the affine part of this transform.
+        Transform the given bounding box.
+
+        For smarter transforms including caching (a common requirement in
+        Matplotlib), see `TransformedBbox`.
         """
+        return Bbox(self.transform(bbox.get_points()))
+
+    def get_affine(self):
+        """Get the affine part of this transform."""
         return IdentityTransform()
 
     def get_matrix(self):
-        """
-        Get the Affine transformation array for the affine part
-        of this transform.
-
-        """
+        """Get the matrix for the affine part of this transform."""
         return self.get_affine().get_matrix()
 
     def transform_point(self, point):
         """
-        A convenience function that returns the transformed copy of a
-        single point.
+        Return a transformed point.
+
+        This function is only kept for backcompatibility; the more general
+        `.transform` method is capable of transforming both a list of points
+        and a single point.
 
         The point is given as a sequence of length :attr:`input_dims`.
         The transformed point is returned as a sequence of length
         :attr:`output_dims`.
         """
-        assert len(point) == self.input_dims
-        return self.transform(np.asarray([point]))[0]
+        if len(point) != self.input_dims:
+            raise ValueError("The length of 'point' must be 'self.input_dims'")
+        return self.transform(point)
 
     def transform_path(self, path):
         """
-        Returns a transformed path.
-
-        *path*: a :class:`~matplotlib.path.Path` instance.
+        Apply the transform to `.Path` *path*, returning a new `.Path`.
 
         In some cases, this transform may insert curves into the path
         that began as line segments.
@@ -1360,10 +1624,8 @@ def transform_path(self, path):
 
     def transform_path_affine(self, path):
         """
-        Returns a path, transformed only by the affine part of
-        this transform.
-
-        *path*: a :class:`~matplotlib.path.Path` instance.
+        Apply the affine part of this transform to `.Path` *path*, returning a
+        new `.Path`.
 
         ``transform_path(path)`` is equivalent to
         ``transform_path_affine(transform_path_non_affine(values))``.
@@ -1372,84 +1634,73 @@ def transform_path_affine(self, path):
 
     def transform_path_non_affine(self, path):
         """
-        Returns a path, transformed only by the non-affine
-        part of this transform.
-
-        *path*: a :class:`~matplotlib.path.Path` instance.
+        Apply the non-affine part of this transform to `.Path` *path*,
+        returning a new `.Path`.
 
         ``transform_path(path)`` is equivalent to
         ``transform_path_affine(transform_path_non_affine(values))``.
         """
         x = self.transform_non_affine(path.vertices)
-        return Path._fast_from_codes_and_verts(x, path.codes,
-                {'interpolation_steps': path._interpolation_steps})
+        return Path._fast_from_codes_and_verts(x, path.codes, path)
 
     def transform_angles(self, angles, pts, radians=False, pushoff=1e-5):
         """
-        Performs transformation on a set of angles anchored at
-        specific locations.
-
-        The *angles* must be a column vector (i.e., numpy array).
-
-        The *pts* must be a two-column numpy array of x,y positions
-        (angle transforms currently only work in 2D).  This array must
-        have the same number of rows as *angles*.
-
-        *radians* indicates whether or not input angles are given in
-         radians (True) or degrees (False; the default).
-
-        *pushoff* is the distance to move away from *pts* for
-         determining transformed angles (see discussion of method
-         below).
-
-        The transformed angles are returned in an array with the same
-        size as *angles*.
-
-        The generic version of this method uses a very generic
-        algorithm that transforms *pts*, as well as locations very
-        close to *pts*, to find the angle in the transformed system.
+        Transform a set of angles anchored at specific locations.
+
+        Parameters
+        ----------
+        angles : (N,) array-like
+            The angles to transform.
+        pts : (N, 2) array-like
+            The points where the angles are anchored.
+        radians : bool, default: False
+            Whether *angles* are radians or degrees.
+        pushoff : float
+            For each point in *pts* and angle in *angles*, the transformed
+            angle is computed by transforming a segment of length *pushoff*
+            starting at that point and making that angle relative to the
+            horizontal axis, and measuring the angle between the horizontal
+            axis and the transformed segment.
+
+        Returns
+        -------
+        (N,) array
         """
         # Must be 2D
         if self.input_dims != 2 or self.output_dims != 2:
             raise NotImplementedError('Only defined in 2D')
-
-        # pts must be array with 2 columns for x,y
-        assert pts.shape[1] == 2
-
-        # angles must be a column vector and have same number of
-        # rows as pts
-        assert np.prod(angles.shape) == angles.shape[0] == pts.shape[0]
-
+        angles = np.asarray(angles)
+        pts = np.asarray(pts)
+        _api.check_shape((None, 2), pts=pts)
+        _api.check_shape((None,), angles=angles)
+        if len(angles) != len(pts):
+            raise ValueError("There must be as many 'angles' as 'pts'")
         # Convert to radians if desired
         if not radians:
-            angles = angles / 180.0 * np.pi
-
+            angles = np.deg2rad(angles)
         # Move a short distance away
-        pts2 = pts + pushoff * np.c_[np.cos(angles), np.sin(angles)]
-
+        pts2 = pts + pushoff * np.column_stack([np.cos(angles),
+                                                np.sin(angles)])
         # Transform both sets of points
         tpts = self.transform(pts)
         tpts2 = self.transform(pts2)
-
         # Calculate transformed angles
         d = tpts2 - tpts
         a = np.arctan2(d[:, 1], d[:, 0])
-
         # Convert back to degrees if desired
         if not radians:
-            a = a * 180.0 / np.pi
-
+            a = np.rad2deg(a)
         return a
 
     def inverted(self):
         """
         Return the corresponding inverse transformation.
 
+        It holds ``x == self.inverted().transform(self.transform(x))``.
+
         The return value of this method should be treated as
         temporary.  An update to *self* does not cause a corresponding
         update to its inverted copy.
-
-        ``x === self.inverted().transform(self.transform(x))``
         """
         raise NotImplementedError()
 
@@ -1463,49 +1714,48 @@ class TransformWrapper(Transform):
     run time with a transform of a different type.  This class allows
     that replacement to correctly trigger invalidation.
 
-    Note that :class:`TransformWrapper` instances must have the same
-    input and output dimensions during their entire lifetime, so the
-    child transform may only be replaced with another child transform
-    of the same dimensions.
+    `TransformWrapper` instances must have the same input and output dimensions
+    during their entire lifetime, so the child transform may only be replaced
+    with another child transform of the same dimensions.
     """
+
     pass_through = True
 
     def __init__(self, child):
         """
-        *child*: A class:`Transform` instance.  This child may later
+        *child*: A `Transform` instance.  This child may later
         be replaced with :meth:`set`.
         """
-        assert isinstance(child, Transform)
-        Transform.__init__(self)
-        self.input_dims = child.input_dims
-        self.output_dims = child.output_dims
-        self._set(child)
-        self._invalid = 0
+        _api.check_isinstance(Transform, child=child)
+        super().__init__()
+        self.set(child)
 
     def __eq__(self, other):
         return self._child.__eq__(other)
 
-    if DEBUG:
-
-        def __str__(self):
-            return str(self._child)
-
-    def __getstate__(self):
-        # only store the child
-        return {'child': self._child}
-
-    def __setstate__(self, state):
-        # re-initialise the TransformWrapper with the state's child
-        self.__init__(state['child'])
-
-    def __repr__(self):
-        return "TransformWrapper(%r)" % self._child
+    __str__ = _make_str_method("_child")
 
     def frozen(self):
+        # docstring inherited
         return self._child.frozen()
-    frozen.__doc__ = Transform.frozen.__doc__
 
-    def _set(self, child):
+    def set(self, child):
+        """
+        Replace the current child of this transform with another one.
+
+        The new child must have the same number of input and output
+        dimensions as the current child.
+        """
+        if hasattr(self, "_child"):  # Absent during init.
+            self.invalidate()
+            new_dims = (child.input_dims, child.output_dims)
+            old_dims = (self._child.input_dims, self._child.output_dims)
+            if new_dims != old_dims:
+                raise ValueError(
+                    f"The input and output dims of the new child {new_dims} "
+                    f"do not match those of current child {old_dims}")
+            self._child._parents.pop(id(self), None)
+
         self._child = child
         self.set_children(child)
 
@@ -1518,97 +1768,69 @@ def _set(self, child):
         self.get_affine = child.get_affine
         self.inverted = child.inverted
         self.get_matrix = child.get_matrix
-
         # note we do not wrap other properties here since the transform's
         # child can be changed with WrappedTransform.set and so checking
         # is_affine and other such properties may be dangerous.
 
-    def set(self, child):
-        """
-        Replace the current child of this transform with another one.
-
-        The new child must have the same number of input and output
-        dimensions as the current child.
-        """
-        assert child.input_dims == self.input_dims
-        assert child.output_dims == self.output_dims
-
-        self._set(child)
-
         self._invalid = 0
         self.invalidate()
         self._invalid = 0
 
-    def _get_is_affine(self):
-        return self._child.is_affine
-    is_affine = property(_get_is_affine)
-
-    def _get_is_separable(self):
-        return self._child.is_separable
-    is_separable = property(_get_is_separable)
-
-    def _get_has_inverse(self):
-        return self._child.has_inverse
-    has_inverse = property(_get_has_inverse)
+    input_dims = property(lambda self: self._child.input_dims)
+    output_dims = property(lambda self: self._child.output_dims)
+    is_affine = property(lambda self: self._child.is_affine)
+    is_separable = property(lambda self: self._child.is_separable)
+    has_inverse = property(lambda self: self._child.has_inverse)
 
 
 class AffineBase(Transform):
     """
-    The base class of all affine transformations of any number of
-    dimensions.
+    The base class of all affine transformations of any number of dimensions.
     """
     is_affine = True
 
     def __init__(self, *args, **kwargs):
-        Transform.__init__(self, *args, **kwargs)
+        super().__init__(*args, **kwargs)
         self._inverted = None
 
     def __array__(self, *args, **kwargs):
-        # optimises the access of the transform matrix vs the superclass
+        # optimises the access of the transform matrix vs. the superclass
         return self.get_matrix()
 
-    @staticmethod
-    def _concat(a, b):
-        """
-        Concatenates two transformation matrices (represented as numpy
-        arrays) together.
-        """
-        return np.dot(b, a)
-
     def __eq__(self, other):
-        if getattr(other, "is_affine", False):
-            return np.all(self.get_matrix() == other.get_matrix())
+        if getattr(other, "is_affine", False) and hasattr(other, "get_matrix"):
+            return (self.get_matrix() == other.get_matrix()).all()
         return NotImplemented
 
     def transform(self, values):
+        # docstring inherited
         return self.transform_affine(values)
-    transform.__doc__ = Transform.transform.__doc__
 
     def transform_affine(self, values):
+        # docstring inherited
         raise NotImplementedError('Affine subclasses should override this '
                                   'method.')
-    transform_affine.__doc__ = Transform.transform_affine.__doc__
 
-    def transform_non_affine(self, points):
-        return points
-    transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+    def transform_non_affine(self, values):
+        # docstring inherited
+        return values
 
     def transform_path(self, path):
+        # docstring inherited
         return self.transform_path_affine(path)
-    transform_path.__doc__ = Transform.transform_path.__doc__
 
     def transform_path_affine(self, path):
+        # docstring inherited
         return Path(self.transform_affine(path.vertices),
                     path.codes, path._interpolation_steps)
-    transform_path_affine.__doc__ = Transform.transform_path_affine.__doc__
 
     def transform_path_non_affine(self, path):
+        # docstring inherited
         return path
-    transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
 
     def get_affine(self):
+        # docstring inherited
         return self
-    get_affine.__doc__ = Transform.get_affine.__doc__
 
 
 class Affine2DBase(AffineBase):
@@ -1622,73 +1844,53 @@ class Affine2DBase(AffineBase):
         0 0 1
 
     This class provides the read-only interface.  For a mutable 2D
-    affine transformation, use :class:`Affine2D`.
+    affine transformation, use `Affine2D`.
 
     Subclasses of this class will generally only need to override a
-    constructor and :meth:`get_matrix` that generates a custom 3x3 matrix.
+    constructor and `~.Transform.get_matrix` that generates a custom 3x3 matrix.
     """
-    has_inverse = True
-
     input_dims = 2
     output_dims = 2
 
     def frozen(self):
+        # docstring inherited
         return Affine2D(self.get_matrix().copy())
-    frozen.__doc__ = AffineBase.frozen.__doc__
 
-    def _get_is_separable(self):
+    @property
+    def is_separable(self):
         mtx = self.get_matrix()
-        return mtx[0, 1] == 0.0 and mtx[1, 0] == 0.0
-    is_separable = property(_get_is_separable)
+        return mtx[0, 1] == mtx[1, 0] == 0.0
 
     def to_values(self):
         """
-        Return the values of the matrix as a sequence (a,b,c,d,e,f)
-        """
-        mtx = self.get_matrix()
-        return tuple(mtx[:2].swapaxes(0, 1).flatten())
-
-    @staticmethod
-    def matrix_from_values(a, b, c, d, e, f):
-        """
-        (staticmethod) Create a new transformation matrix as a 3x3
-        numpy array of the form::
-
-          a c e
-          b d f
-          0 0 1
+        Return the values of the matrix as an ``(a, b, c, d, e, f)`` tuple.
         """
-        return np.array([[a, c, e], [b, d, f], [0.0, 0.0, 1.0]], np.float_)
-
-    def transform_affine(self, points):
         mtx = self.get_matrix()
-        if isinstance(points, MaskedArray):
-            tpoints = affine_transform(points.data, mtx)
-            return ma.MaskedArray(tpoints, mask=ma.getmask(points))
-        return affine_transform(points, mtx)
+        return tuple(mtx[:2].swapaxes(0, 1).flat)
 
-    def transform_point(self, point):
+    def transform_affine(self, values):
         mtx = self.get_matrix()
-        return affine_transform([point], mtx)[0]
-    transform_point.__doc__ = AffineBase.transform_point.__doc__
+        if isinstance(values, np.ma.MaskedArray):
+            tpoints = affine_transform(values.data, mtx)
+            return np.ma.MaskedArray(tpoints, mask=np.ma.getmask(values))
+        return affine_transform(values, mtx)
 
     if DEBUG:
         _transform_affine = transform_affine
 
-        def transform_affine(self, points):
+        def transform_affine(self, values):
+            # docstring inherited
             # The major speed trap here is just converting to the
             # points to an array in the first place.  If we can use
             # more arrays upstream, that should help here.
-            if (not ma.isMaskedArray(points) and
-                not isinstance(points, np.ndarray)):
-                warnings.warn(
-                    ('A non-numpy array of type %s was passed in for ' +
-                     'transformation.  Please correct this.')
-                    % type(points))
-            return self._transform_affine(points)
-    transform_affine.__doc__ = AffineBase.transform_affine.__doc__
+            if not isinstance(values, np.ndarray):
+                _api.warn_external(
+                    f'A non-numpy array of type {type(values)} was passed in '
+                    f'for transformation, which results in poor performance.')
+            return self._transform_affine(values)
 
     def inverted(self):
+        # docstring inherited
         if self._inverted is None or self._invalid:
             mtx = self.get_matrix()
             shorthand_name = None
@@ -1697,7 +1899,6 @@ def inverted(self):
             self._inverted = Affine2D(inv(mtx), shorthand_name=shorthand_name)
             self._invalid = 0
         return self._inverted
-    inverted.__doc__ = AffineBase.inverted.__doc__
 
 
 class Affine2D(Affine2DBase):
@@ -1715,30 +1916,26 @@ def __init__(self, matrix=None, **kwargs):
 
         If *matrix* is None, initialize with the identity transform.
         """
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         if matrix is None:
-            matrix = np.identity(3)
-        elif DEBUG:
-            matrix = np.asarray(matrix, np.float_)
-            assert matrix.shape == (3, 3)
-        self._mtx = matrix
+            # A bit faster than np.identity(3).
+            matrix = IdentityTransform._mtx
+        self._mtx = matrix.copy()
         self._invalid = 0
 
-    def __repr__(self):
-        return "Affine2D(%s)" % repr(self._mtx)
+    _base_str = _make_str_method("_mtx")
 
-#    def __cmp__(self, other):
-#        # XXX redundant. this only tells us eq.
-#        if (isinstance(other, Affine2D) and
-#            (self.get_matrix() == other.get_matrix()).all()):
-#            return 0
-#        return -1
+    def __str__(self):
+        return (self._base_str()
+                if (self._mtx != np.diag(np.diag(self._mtx))).any()
+                else f"Affine2D().scale({self._mtx[0, 0]}, {self._mtx[1, 1]})"
+                if self._mtx[0, 0] != self._mtx[1, 1]
+                else f"Affine2D().scale({self._mtx[0, 0]})")
 
     @staticmethod
     def from_values(a, b, c, d, e, f):
         """
-        (staticmethod) Create a new Affine2D instance from the given
-        values::
+        Create a new Affine2D instance from the given values::
 
           a c e
           b d f
@@ -1747,12 +1944,11 @@ def from_values(a, b, c, d, e, f):
         .
         """
         return Affine2D(
-            np.array([a, c, e, b, d, f, 0.0, 0.0, 1.0], np.float_)
-            .reshape((3, 3)))
+            np.array([a, c, e, b, d, f, 0.0, 0.0, 1.0], float).reshape((3, 3)))
 
     def get_matrix(self):
         """
-        Get the underlying transformation matrix as a 3x3 numpy array::
+        Get the underlying transformation matrix as a 3x3 array::
 
           a c e
           b d f
@@ -1760,12 +1956,14 @@ def get_matrix(self):
 
         .
         """
-        self._invalid = 0
+        if self._invalid:
+            self._inverted = None
+            self._invalid = 0
         return self._mtx
 
     def set_matrix(self, mtx):
         """
-        Set the underlying transformation matrix from a 3x3 numpy array::
+        Set the underlying transformation matrix from a 3x3 array::
 
           a c e
           b d f
@@ -1779,28 +1977,18 @@ def set_matrix(self, mtx):
     def set(self, other):
         """
         Set this transformation from the frozen copy of another
-        :class:`Affine2DBase` object.
+        `Affine2DBase` object.
         """
-        assert isinstance(other, Affine2DBase)
+        _api.check_isinstance(Affine2DBase, other=other)
         self._mtx = other.get_matrix()
         self.invalidate()
 
-    @staticmethod
-    def identity():
-        """
-        (staticmethod) Return a new :class:`Affine2D` object that is
-        the identity transform.
-
-        Unless this transform will be mutated later on, consider using
-        the faster :class:`IdentityTransform` class instead.
-        """
-        return Affine2D(np.identity(3))
-
     def clear(self):
         """
         Reset the underlying matrix to the identity transform.
         """
-        self._mtx = np.identity(3)
+        # A bit faster than np.identity(3).
+        self._mtx = IdentityTransform._mtx.copy()
         self.invalidate()
         return self
 
@@ -1812,12 +2000,18 @@ def rotate(self, theta):
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
-        a = np.cos(theta)
-        b = np.sin(theta)
-        rotate_mtx = np.array(
-            [[a, -b, 0.0], [b, a, 0.0], [0.0, 0.0, 1.0]],
-            np.float_)
-        self._mtx = np.dot(rotate_mtx, self._mtx)
+        a = math.cos(theta)
+        b = math.sin(theta)
+        mtx = self._mtx
+        # Operating and assigning one scalar at a time is much faster.
+        (xx, xy, x0), (yx, yy, y0), _ = mtx.tolist()
+        # mtx = [[a -b 0], [b a 0], [0 0 1]] * mtx
+        mtx[0, 0] = a * xx - b * yx
+        mtx[0, 1] = a * xy - b * yy
+        mtx[0, 2] = a * x0 - b * y0
+        mtx[1, 0] = b * xx + a * yx
+        mtx[1, 1] = b * xy + a * yy
+        mtx[1, 2] = b * x0 + a * y0
         self.invalidate()
         return self
 
@@ -1829,7 +2023,7 @@ def rotate_deg(self, degrees):
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
-        return self.rotate(degrees * np.pi / 180.)
+        return self.rotate(math.radians(degrees))
 
     def rotate_around(self, x, y, theta):
         """
@@ -1849,26 +2043,26 @@ def rotate_deg_around(self, x, y, degrees):
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
+        # Cast to float to avoid wraparound issues with uint8's
+        x, y = float(x), float(y)
         return self.translate(-x, -y).rotate_deg(degrees).translate(x, y)
 
     def translate(self, tx, ty):
         """
-        Adds a translation in place.
+        Add a translation in place.
 
         Returns *self*, so this method can easily be chained with more
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
-        translate_mtx = np.array(
-            [[1.0, 0.0, tx], [0.0, 1.0, ty], [0.0, 0.0, 1.0]],
-            np.float_)
-        self._mtx = np.dot(translate_mtx, self._mtx)
+        self._mtx[0, 2] += tx
+        self._mtx[1, 2] += ty
         self.invalidate()
         return self
 
     def scale(self, sx, sy=None):
         """
-        Adds a scale in place.
+        Add a scale in place.
 
         If *sy* is None, the same scale is applied in both the *x*- and
         *y*-directions.
@@ -1879,16 +2073,19 @@ def scale(self, sx, sy=None):
         """
         if sy is None:
             sy = sx
-        scale_mtx = np.array(
-            [[sx, 0.0, 0.0], [0.0, sy, 0.0], [0.0, 0.0, 1.0]],
-            np.float_)
-        self._mtx = np.dot(scale_mtx, self._mtx)
+        # explicit element-wise scaling is fastest
+        self._mtx[0, 0] *= sx
+        self._mtx[0, 1] *= sx
+        self._mtx[0, 2] *= sx
+        self._mtx[1, 0] *= sy
+        self._mtx[1, 1] *= sy
+        self._mtx[1, 2] *= sy
         self.invalidate()
         return self
 
     def skew(self, xShear, yShear):
         """
-        Adds a skew in place.
+        Add a skew in place.
 
         *xShear* and *yShear* are the shear angles along the *x*- and
         *y*-axes, respectively, in radians.
@@ -1897,18 +2094,24 @@ def skew(self, xShear, yShear):
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
-        rotX = np.tan(xShear)
-        rotY = np.tan(yShear)
-        skew_mtx = np.array(
-                [[1.0, rotX, 0.0], [rotY, 1.0, 0.0], [0.0, 0.0, 1.0]],
-                np.float_)
-        self._mtx = np.dot(skew_mtx, self._mtx)
+        rx = math.tan(xShear)
+        ry = math.tan(yShear)
+        mtx = self._mtx
+        # Operating and assigning one scalar at a time is much faster.
+        (xx, xy, x0), (yx, yy, y0), _ = mtx.tolist()
+        # mtx = [[1 rx 0], [ry 1 0], [0 0 1]] * mtx
+        mtx[0, 0] += rx * yx
+        mtx[0, 1] += rx * yy
+        mtx[0, 2] += rx * y0
+        mtx[1, 0] += ry * xx
+        mtx[1, 1] += ry * xy
+        mtx[1, 2] += ry * x0
         self.invalidate()
         return self
 
     def skew_deg(self, xShear, yShear):
         """
-        Adds a skew in place.
+        Add a skew in place.
 
         *xShear* and *yShear* are the shear angles along the *x*- and
         *y*-axes, respectively, in degrees.
@@ -1917,61 +2120,78 @@ def skew_deg(self, xShear, yShear):
         calls to :meth:`rotate`, :meth:`rotate_deg`, :meth:`translate`
         and :meth:`scale`.
         """
-        return self.skew(np.deg2rad(xShear), np.deg2rad(yShear))
-
-    def _get_is_separable(self):
-        mtx = self.get_matrix()
-        return mtx[0, 1] == 0.0 and mtx[1, 0] == 0.0
-    is_separable = property(_get_is_separable)
+        return self.skew(math.radians(xShear), math.radians(yShear))
 
 
 class IdentityTransform(Affine2DBase):
     """
-    A special class that does on thing, the identity transform, in a
+    A special class that does one thing, the identity transform, in a
     fast way.
     """
     _mtx = np.identity(3)
 
     def frozen(self):
+        # docstring inherited
         return self
-    frozen.__doc__ = Affine2DBase.frozen.__doc__
 
-    def __repr__(self):
-        return "IdentityTransform()"
+    __str__ = _make_str_method()
 
     def get_matrix(self):
+        # docstring inherited
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
-    def transform(self, points):
-        return points
-    transform.__doc__ = Affine2DBase.transform.__doc__
+    def transform(self, values):
+        # docstring inherited
+        return np.asanyarray(values)
 
-    transform_affine = transform
-    transform_affine.__doc__ = Affine2DBase.transform_affine.__doc__
+    def transform_affine(self, values):
+        # docstring inherited
+        return np.asanyarray(values)
 
-    transform_non_affine = transform
-    transform_non_affine.__doc__ = Affine2DBase.transform_non_affine.__doc__
+    def transform_non_affine(self, values):
+        # docstring inherited
+        return np.asanyarray(values)
 
     def transform_path(self, path):
+        # docstring inherited
         return path
-    transform_path.__doc__ = Affine2DBase.transform_path.__doc__
 
-    transform_path_affine = transform_path
-    transform_path_affine.__doc__ = Affine2DBase.transform_path_affine.__doc__
+    def transform_path_affine(self, path):
+        # docstring inherited
+        return path
 
-    transform_path_non_affine = transform_path
-    transform_path_non_affine.__doc__ = Affine2DBase.transform_path_non_affine.__doc__
+    def transform_path_non_affine(self, path):
+        # docstring inherited
+        return path
 
     def get_affine(self):
+        # docstring inherited
+        return self
+
+    def inverted(self):
+        # docstring inherited
         return self
-    get_affine.__doc__ = Affine2DBase.get_affine.__doc__
 
-    inverted = get_affine
-    inverted.__doc__ = Affine2DBase.inverted.__doc__
+
+class _BlendedMixin:
+    """Common methods for `BlendedGenericTransform` and `BlendedAffine2D`."""
+
+    def __eq__(self, other):
+        if isinstance(other, (BlendedAffine2D, BlendedGenericTransform)):
+            return (self._x == other._x) and (self._y == other._y)
+        elif self._x == self._y:
+            return self._x == other
+        else:
+            return NotImplemented
+
+    def contains_branch_seperately(self, transform):
+        return (self._x.contains_branch(transform),
+                self._y.contains_branch(transform))
+
+    __str__ = _make_str_method("_x", "_y")
 
 
-class BlendedGenericTransform(Transform):
+class BlendedGenericTransform(_BlendedMixin, Transform):
     """
     A "blended" transform uses one transform for the *x*-direction, and
     another transform for the *y*-direction.
@@ -1986,135 +2206,112 @@ class BlendedGenericTransform(Transform):
 
     def __init__(self, x_transform, y_transform, **kwargs):
         """
-        Create a new "blended" transform using *x_transform* to
-        transform the *x*-axis and *y_transform* to transform the
-        *y*-axis.
+        Create a new "blended" transform using *x_transform* to transform the
+        *x*-axis and *y_transform* to transform the *y*-axis.
 
-        You will generally not call this constructor directly but use
-        the :func:`blended_transform_factory` function instead, which
-        can determine automatically which kind of blended transform to
-        create.
+        You will generally not call this constructor directly but use the
+        `blended_transform_factory` function instead, which can determine
+        automatically which kind of blended transform to create.
         """
-        # Here we ask: "Does it blend?"
-
         Transform.__init__(self, **kwargs)
         self._x = x_transform
         self._y = y_transform
         self.set_children(x_transform, y_transform)
         self._affine = None
 
-    def __eq__(self, other):
-        # Note, this is an exact copy of BlendedAffine2D.__eq__
-        if isinstance(other, (BlendedAffine2D, BlendedGenericTransform)):
-            return (self._x == other._x) and (self._y == other._y)
-        elif self._x == self._y:
-            return self._x == other
-        else:
-            return NotImplemented
-
-    def contains_branch_seperately(self, transform):
-        # Note, this is an exact copy of BlendedAffine2D.contains_branch_seperately
-        return self._x.contains_branch(transform), self._y.contains_branch(transform)
-
     @property
     def depth(self):
-        return max([self._x.depth, self._y.depth])
+        return max(self._x.depth, self._y.depth)
 
     def contains_branch(self, other):
-        # a blended transform cannot possibly contain a branch from two different transforms.
+        # A blended transform cannot possibly contain a branch from two
+        # different transforms.
         return False
 
-    def _get_is_affine(self):
-        return self._x.is_affine and self._y.is_affine
-    is_affine = property(_get_is_affine)
-
-    def _get_has_inverse(self):
-        return self._x.has_inverse and self._y.has_inverse
-    has_inverse = property(_get_has_inverse)
+    is_affine = property(lambda self: self._x.is_affine and self._y.is_affine)
+    has_inverse = property(
+        lambda self: self._x.has_inverse and self._y.has_inverse)
 
     def frozen(self):
+        # docstring inherited
         return blended_transform_factory(self._x.frozen(), self._y.frozen())
-    frozen.__doc__ = Transform.frozen.__doc__
 
-    def __repr__(self):
-        return "BlendedGenericTransform(%s,%s)" % (self._x, self._y)
-
-    def transform_non_affine(self, points):
+    def transform_non_affine(self, values):
+        # docstring inherited
         if self._x.is_affine and self._y.is_affine:
-            return points
+            return values
         x = self._x
         y = self._y
 
         if x == y and x.input_dims == 2:
-            return x.transform_non_affine(points)
+            return x.transform_non_affine(values)
 
         if x.input_dims == 2:
-            x_points = x.transform_non_affine(points)[:, 0:1]
+            x_points = x.transform_non_affine(values)[:, 0:1]
         else:
-            x_points = x.transform_non_affine(points[:, 0])
+            x_points = x.transform_non_affine(values[:, 0])
             x_points = x_points.reshape((len(x_points), 1))
 
         if y.input_dims == 2:
-            y_points = y.transform_non_affine(points)[:, 1:]
+            y_points = y.transform_non_affine(values)[:, 1:]
         else:
-            y_points = y.transform_non_affine(points[:, 1])
+            y_points = y.transform_non_affine(values[:, 1])
             y_points = y_points.reshape((len(y_points), 1))
 
-        if isinstance(x_points, MaskedArray) or isinstance(y_points, MaskedArray):
-            return ma.concatenate((x_points, y_points), 1)
+        if (isinstance(x_points, np.ma.MaskedArray) or
+                isinstance(y_points, np.ma.MaskedArray)):
+            return np.ma.concatenate((x_points, y_points), 1)
         else:
             return np.concatenate((x_points, y_points), 1)
-    transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
 
     def inverted(self):
+        # docstring inherited
         return BlendedGenericTransform(self._x.inverted(), self._y.inverted())
-    inverted.__doc__ = Transform.inverted.__doc__
 
     def get_affine(self):
+        # docstring inherited
         if self._invalid or self._affine is None:
             if self._x == self._y:
                 self._affine = self._x.get_affine()
             else:
                 x_mtx = self._x.get_affine().get_matrix()
                 y_mtx = self._y.get_affine().get_matrix()
-                # This works because we already know the transforms are
-                # separable, though normally one would want to set b and
-                # c to zero.
-                mtx = np.vstack((x_mtx[0], y_mtx[1], [0.0, 0.0, 1.0]))
+                # We already know the transforms are separable, so we can skip
+                # setting b and c to zero.
+                mtx = np.array([x_mtx[0], y_mtx[1], [0.0, 0.0, 1.0]])
                 self._affine = Affine2D(mtx)
             self._invalid = 0
         return self._affine
-    get_affine.__doc__ = Transform.get_affine.__doc__
 
 
-class BlendedAffine2D(Affine2DBase):
+class BlendedAffine2D(_BlendedMixin, Affine2DBase):
     """
     A "blended" transform uses one transform for the *x*-direction, and
     another transform for the *y*-direction.
 
     This version is an optimization for the case where both child
-    transforms are of type :class:`Affine2DBase`.
+    transforms are of type `Affine2DBase`.
     """
+
     is_separable = True
 
     def __init__(self, x_transform, y_transform, **kwargs):
         """
-        Create a new "blended" transform using *x_transform* to
-        transform the *x*-axis and *y_transform* to transform the
-        *y*-axis.
+        Create a new "blended" transform using *x_transform* to transform the
+        *x*-axis and *y_transform* to transform the *y*-axis.
 
-        Both *x_transform* and *y_transform* must be 2D affine
-        transforms.
+        Both *x_transform* and *y_transform* must be 2D affine transforms.
 
-        You will generally not call this constructor directly but use
-        the :func:`blended_transform_factory` function instead, which
-        can determine automatically which kind of blended transform to
-        create.
+        You will generally not call this constructor directly but use the
+        `blended_transform_factory` function instead, which can determine
+        automatically which kind of blended transform to create.
         """
-        assert x_transform.is_affine
-        assert y_transform.is_affine
-        assert x_transform.is_separable
-        assert y_transform.is_separable
+        is_affine = x_transform.is_affine and y_transform.is_affine
+        is_separable = x_transform.is_separable and y_transform.is_separable
+        is_correct = is_affine and is_separable
+        if not is_correct:
+            raise ValueError("Both *x_transform* and *y_transform* must be 2D "
+                             "affine transforms")
 
         Transform.__init__(self, **kwargs)
         self._x = x_transform
@@ -2124,37 +2321,20 @@ def __init__(self, x_transform, y_transform, **kwargs):
         Affine2DBase.__init__(self)
         self._mtx = None
 
-    def __eq__(self, other):
-        # Note, this is an exact copy of BlendedGenericTransform.__eq__
-        if isinstance(other, (BlendedAffine2D, BlendedGenericTransform)):
-            return (self._x == other._x) and (self._y == other._y)
-        elif self._x == self._y:
-            return self._x == other
-        else:
-            return NotImplemented
-
-    def contains_branch_seperately(self, transform):
-        # Note, this is an exact copy of BlendedTransform.contains_branch_seperately
-        return self._x.contains_branch(transform), self._y.contains_branch(transform)
-
-    def __repr__(self):
-        return "BlendedAffine2D(%s,%s)" % (self._x, self._y)
-
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             if self._x == self._y:
                 self._mtx = self._x.get_matrix()
             else:
                 x_mtx = self._x.get_matrix()
                 y_mtx = self._y.get_matrix()
-                # This works because we already know the transforms are
-                # separable, though normally one would want to set b and
-                # c to zero.
-                self._mtx = np.vstack((x_mtx[0], y_mtx[1], [0.0, 0.0, 1.0]))
+                # We already know the transforms are separable, so we can skip
+                # setting b and c to zero.
+                self._mtx = np.array([x_mtx[0], y_mtx[1], [0.0, 0.0, 1.0]])
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
 
 def blended_transform_factory(x_transform, y_transform):
@@ -2165,8 +2345,8 @@ def blended_transform_factory(x_transform, y_transform):
     A faster version of the blended transform is returned for the case
     where both child transforms are affine.
     """
-    if (isinstance(x_transform, Affine2DBase)
-        and isinstance(y_transform, Affine2DBase)):
+    if (isinstance(x_transform, Affine2DBase) and
+            isinstance(y_transform, Affine2DBase)):
         return BlendedAffine2D(x_transform, y_transform)
     return BlendedGenericTransform(x_transform, y_transform)
 
@@ -2186,91 +2366,83 @@ def __init__(self, a, b, **kwargs):
         Create a new composite transform that is the result of
         applying transform *a* then transform *b*.
 
-        You will generally not call this constructor directly but use
-        the :func:`composite_transform_factory` function instead,
-        which can automatically choose the best kind of composite
+        You will generally not call this constructor directly but write ``a +
+        b`` instead, which will automatically choose the best kind of composite
         transform instance to create.
         """
-        assert a.output_dims == b.input_dims
+        if a.output_dims != b.input_dims:
+            raise ValueError("The output dimension of 'a' must be equal to "
+                             "the input dimensions of 'b'")
         self.input_dims = a.input_dims
         self.output_dims = b.output_dims
 
-        Transform.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._a = a
         self._b = b
         self.set_children(a, b)
 
-    is_affine = property(lambda self: self._a.is_affine and self._b.is_affine)
-
     def frozen(self):
+        # docstring inherited
         self._invalid = 0
-        frozen = composite_transform_factory(self._a.frozen(), self._b.frozen())
+        frozen = composite_transform_factory(
+            self._a.frozen(), self._b.frozen())
         if not isinstance(frozen, CompositeGenericTransform):
             return frozen.frozen()
         return frozen
-    frozen.__doc__ = Transform.frozen.__doc__
 
-    def _invalidate_internal(self, value, invalidating_node):
-        # In some cases for a composite transform, an invalidating call to AFFINE_ONLY needs
-        # to be extended to invalidate the NON_AFFINE part too. These cases are when the right
-        # hand transform is non-affine and either:
-        # (a) the left hand transform is non affine
-        # (b) it is the left hand node which has triggered the invalidation
-        if value == Transform.INVALID_AFFINE \
-            and not self._b.is_affine \
-            and (not self._a.is_affine or invalidating_node is self._a):
-
-            value = Transform.INVALID
-
-        Transform._invalidate_internal(self, value=value,
-                                       invalidating_node=invalidating_node)
+    def _invalidate_internal(self, level, invalidating_node):
+        # When the left child is invalidated at AFFINE_ONLY level and the right child is
+        # non-affine, the composite transform is FULLY invalidated.
+        if invalidating_node is self._a and not self._b.is_affine:
+            level = Transform._INVALID_FULL
+        super()._invalidate_internal(level, invalidating_node)
 
     def __eq__(self, other):
         if isinstance(other, (CompositeGenericTransform, CompositeAffine2D)):
-            return self is other or (self._a == other._a and self._b == other._b)
+            return self is other or (self._a == other._a
+                                     and self._b == other._b)
         else:
             return False
 
     def _iter_break_from_left_to_right(self):
-        for lh_compliment, rh_compliment in self._a._iter_break_from_left_to_right():
-            yield lh_compliment, rh_compliment + self._b
-        for lh_compliment, rh_compliment in self._b._iter_break_from_left_to_right():
-            yield self._a + lh_compliment, rh_compliment
-
-    @property
-    def depth(self):
-        return self._a.depth + self._b.depth
+        for left, right in self._a._iter_break_from_left_to_right():
+            yield left, right + self._b
+        for left, right in self._b._iter_break_from_left_to_right():
+            yield self._a + left, right
 
-    def _get_is_affine(self):
-        return self._a.is_affine and self._b.is_affine
-    is_affine = property(_get_is_affine)
-
-    def _get_is_separable(self):
-        return self._a.is_separable and self._b.is_separable
-    is_separable = property(_get_is_separable)
+    def contains_branch_seperately(self, other_transform):
+        # docstring inherited
+        if self.output_dims != 2:
+            raise ValueError('contains_branch_seperately only supports '
+                             'transforms with 2 output dimensions')
+        if self == other_transform:
+            return (True, True)
+        return self._b.contains_branch_seperately(other_transform)
 
-    if DEBUG:
-        def __str__(self):
-            return '(%s, %s)' % (self._a, self._b)
+    depth = property(lambda self: self._a.depth + self._b.depth)
+    is_affine = property(lambda self: self._a.is_affine and self._b.is_affine)
+    is_separable = property(
+        lambda self: self._a.is_separable and self._b.is_separable)
+    has_inverse = property(
+        lambda self: self._a.has_inverse and self._b.has_inverse)
 
-    def __repr__(self):
-        return "CompositeGenericTransform(%r, %r)" % (self._a, self._b)
+    __str__ = _make_str_method("_a", "_b")
 
-    def transform_affine(self, points):
-        return self.get_affine().transform(points)
-    transform_affine.__doc__ = Transform.transform_affine.__doc__
+    def transform_affine(self, values):
+        # docstring inherited
+        return self.get_affine().transform(values)
 
-    def transform_non_affine(self, points):
+    def transform_non_affine(self, values):
+        # docstring inherited
         if self._a.is_affine and self._b.is_affine:
-            return points
+            return values
         elif not self._a.is_affine and self._b.is_affine:
-            return self._a.transform_non_affine(points)
+            return self._a.transform_non_affine(values)
         else:
-            return self._b.transform_non_affine(
-                                self._a.transform(points))
-    transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
+            return self._b.transform_non_affine(self._a.transform(values))
 
     def transform_path_non_affine(self, path):
+        # docstring inherited
         if self._a.is_affine and self._b.is_affine:
             return path
         elif not self._a.is_affine and self._b.is_affine:
@@ -2278,23 +2450,19 @@ def transform_path_non_affine(self, path):
         else:
             return self._b.transform_path_non_affine(
                                     self._a.transform_path(path))
-    transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
 
     def get_affine(self):
+        # docstring inherited
         if not self._b.is_affine:
             return self._b.get_affine()
         else:
             return Affine2D(np.dot(self._b.get_affine().get_matrix(),
-                                self._a.get_affine().get_matrix()))
-    get_affine.__doc__ = Transform.get_affine.__doc__
+                                   self._a.get_affine().get_matrix()))
 
     def inverted(self):
-        return CompositeGenericTransform(self._b.inverted(), self._a.inverted())
-    inverted.__doc__ = Transform.inverted.__doc__
-
-    def _get_has_inverse(self):
-        return self._a.has_inverse and self._b.has_inverse
-    has_inverse = property(_get_has_inverse)
+        # docstring inherited
+        return CompositeGenericTransform(
+            self._b.inverted(), self._a.inverted())
 
 
 class CompositeAffine2D(Affine2DBase):
@@ -2307,45 +2475,40 @@ class CompositeAffine2D(Affine2DBase):
     def __init__(self, a, b, **kwargs):
         """
         Create a new composite transform that is the result of
-        applying transform *a* then transform *b*.
-
-        Both *a* and *b* must be instances of :class:`Affine2DBase`.
+        applying `Affine2DBase` *a* then `Affine2DBase` *b*.
 
-        You will generally not call this constructor directly but use
-        the :func:`composite_transform_factory` function instead,
-        which can automatically choose the best kind of composite
+        You will generally not call this constructor directly but write ``a +
+        b`` instead, which will automatically choose the best kind of composite
         transform instance to create.
         """
-        assert a.output_dims == b.input_dims
+        if not a.is_affine or not b.is_affine:
+            raise ValueError("'a' and 'b' must be affine transforms")
+        if a.output_dims != b.input_dims:
+            raise ValueError("The output dimension of 'a' must be equal to "
+                             "the input dimensions of 'b'")
         self.input_dims = a.input_dims
         self.output_dims = b.output_dims
-        assert a.is_affine
-        assert b.is_affine
 
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._a = a
         self._b = b
         self.set_children(a, b)
         self._mtx = None
 
-    if DEBUG:
-        def __str__(self):
-            return '(%s, %s)' % (self._a, self._b)
-
     @property
     def depth(self):
         return self._a.depth + self._b.depth
 
     def _iter_break_from_left_to_right(self):
-        for lh_compliment, rh_compliment in self._a._iter_break_from_left_to_right():
-            yield lh_compliment, rh_compliment + self._b
-        for lh_compliment, rh_compliment in self._b._iter_break_from_left_to_right():
-            yield self._a + lh_compliment, rh_compliment
+        for left, right in self._a._iter_break_from_left_to_right():
+            yield left, right + self._b
+        for left, right in self._b._iter_break_from_left_to_right():
+            yield self._a + left, right
 
-    def __repr__(self):
-        return "CompositeAffine2D(%r, %r)" % (self._a, self._b)
+    __str__ = _make_str_method("_a", "_b")
 
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             self._mtx = np.dot(
                 self._b.get_matrix(),
@@ -2353,7 +2516,6 @@ def get_matrix(self):
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
 
 def composite_transform_factory(a, b):
@@ -2385,181 +2547,202 @@ def composite_transform_factory(a, b):
 
 class BboxTransform(Affine2DBase):
     """
-    :class:`BboxTransform` linearly transforms points from one
-    :class:`Bbox` to another :class:`Bbox`.
+    `BboxTransform` linearly transforms points from one `Bbox` to another.
     """
+
     is_separable = True
 
     def __init__(self, boxin, boxout, **kwargs):
         """
-        Create a new :class:`BboxTransform` that linearly transforms
+        Create a new `BboxTransform` that linearly transforms
         points from *boxin* to *boxout*.
         """
-        assert boxin.is_bbox
-        assert boxout.is_bbox
+        _api.check_isinstance(BboxBase, boxin=boxin, boxout=boxout)
 
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._boxin = boxin
         self._boxout = boxout
         self.set_children(boxin, boxout)
         self._mtx = None
         self._inverted = None
 
-    def __repr__(self):
-        return "BboxTransform(%r, %r)" % (self._boxin, self._boxout)
+    __str__ = _make_str_method("_boxin", "_boxout")
 
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             inl, inb, inw, inh = self._boxin.bounds
             outl, outb, outw, outh = self._boxout.bounds
             x_scale = outw / inw
             y_scale = outh / inh
             if DEBUG and (x_scale == 0 or y_scale == 0):
-                raise ValueError("Transforming from or to a singular bounding box.")
-            self._mtx = np.array([[x_scale, 0.0    , (-inl*x_scale+outl)],
-                                   [0.0    , y_scale, (-inb*y_scale+outb)],
-                                   [0.0    , 0.0    , 1.0        ]],
-                                  np.float_)
+                raise ValueError(
+                    "Transforming from or to a singular bounding box")
+            self._mtx = np.array([[x_scale,     0.0, -inl*x_scale+outl],
+                                  [    0.0, y_scale, -inb*y_scale+outb],
+                                  [    0.0,     0.0,               1.0]],
+                                 float)
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
 
 class BboxTransformTo(Affine2DBase):
     """
-    :class:`BboxTransformTo` is a transformation that linearly
-    transforms points from the unit bounding box to a given
-    :class:`Bbox`.
+    `BboxTransformTo` is a transformation that linearly transforms points from
+    the unit bounding box to a given `Bbox`.
     """
+
     is_separable = True
 
     def __init__(self, boxout, **kwargs):
         """
-        Create a new :class:`BboxTransformTo` that linearly transforms
+        Create a new `BboxTransformTo` that linearly transforms
         points from the unit bounding box to *boxout*.
         """
-        assert boxout.is_bbox
+        _api.check_isinstance(BboxBase, boxout=boxout)
 
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._boxout = boxout
         self.set_children(boxout)
         self._mtx = None
         self._inverted = None
 
-    def __repr__(self):
-        return "BboxTransformTo(%r)" % (self._boxout)
+    __str__ = _make_str_method("_boxout")
 
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             outl, outb, outw, outh = self._boxout.bounds
             if DEBUG and (outw == 0 or outh == 0):
                 raise ValueError("Transforming to a singular bounding box.")
             self._mtx = np.array([[outw,  0.0, outl],
-                                   [ 0.0, outh, outb],
-                                   [ 0.0,  0.0,  1.0]],
-                                  np.float_)
-            self._inverted = None
-            self._invalid = 0
-        return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
-
-
-class BboxTransformToMaxOnly(BboxTransformTo):
-    """
-    :class:`BboxTransformTo` is a transformation that linearly
-    transforms points from the unit bounding box to a given
-    :class:`Bbox` with a fixed upper left of (0, 0).
-    """
-    def __repr__(self):
-        return "BboxTransformToMaxOnly(%r)" % (self._boxout)
-
-    def get_matrix(self):
-        if self._invalid:
-            xmax, ymax = self._boxout.max
-            if DEBUG and (xmax == 0 or ymax == 0):
-                raise ValueError("Transforming to a singular bounding box.")
-            self._mtx = np.array([[xmax,  0.0, 0.0],
-                                  [ 0.0, ymax, 0.0],
-                                  [ 0.0,  0.0, 1.0]],
-                                 np.float_)
+                                  [ 0.0, outh, outb],
+                                  [ 0.0,  0.0,  1.0]],
+                                 float)
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
 
 class BboxTransformFrom(Affine2DBase):
     """
-    :class:`BboxTransformFrom` linearly transforms points from a given
-    :class:`Bbox` to the unit bounding box.
+    `BboxTransformFrom` linearly transforms points from a given `Bbox` to the
+    unit bounding box.
     """
     is_separable = True
 
     def __init__(self, boxin, **kwargs):
-        assert boxin.is_bbox
+        _api.check_isinstance(BboxBase, boxin=boxin)
 
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._boxin = boxin
         self.set_children(boxin)
         self._mtx = None
         self._inverted = None
 
-    def __repr__(self):
-        return "BboxTransformFrom(%r)" % (self._boxin)
+    __str__ = _make_str_method("_boxin")
 
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
             inl, inb, inw, inh = self._boxin.bounds
             if DEBUG and (inw == 0 or inh == 0):
                 raise ValueError("Transforming from a singular bounding box.")
             x_scale = 1.0 / inw
             y_scale = 1.0 / inh
-            self._mtx = np.array([[x_scale, 0.0    , (-inl*x_scale)],
-                                   [0.0    , y_scale, (-inb*y_scale)],
-                                   [0.0    , 0.0    , 1.0        ]],
-                                  np.float_)
+            self._mtx = np.array([[x_scale,     0.0, -inl*x_scale],
+                                  [    0.0, y_scale, -inb*y_scale],
+                                  [    0.0,     0.0,          1.0]],
+                                 float)
             self._inverted = None
             self._invalid = 0
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
 
 
 class ScaledTranslation(Affine2DBase):
     """
     A transformation that translates by *xt* and *yt*, after *xt* and *yt*
-    have been transformad by the given transform *scale_trans*.
+    have been transformed by *scale_trans*.
     """
     def __init__(self, xt, yt, scale_trans, **kwargs):
-        Affine2DBase.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self._t = (xt, yt)
         self._scale_trans = scale_trans
         self.set_children(scale_trans)
         self._mtx = None
         self._inverted = None
 
-    def __repr__(self):
-        return "ScaledTranslation(%r)" % (self._t,)
+    __str__ = _make_str_method("_t")
 
     def get_matrix(self):
+        # docstring inherited
         if self._invalid:
-            xt, yt = self._scale_trans.transform_point(self._t)
-            self._mtx = np.array([[1.0, 0.0, xt],
-                                   [0.0, 1.0, yt],
-                                   [0.0, 0.0, 1.0]],
-                                  np.float_)
+            # A bit faster than np.identity(3).
+            self._mtx = IdentityTransform._mtx.copy()
+            self._mtx[:2, 2] = self._scale_trans.transform(self._t)
             self._invalid = 0
             self._inverted = None
         return self._mtx
-    get_matrix.__doc__ = Affine2DBase.get_matrix.__doc__
+
+
+class _ScaledRotation(Affine2DBase):
+    """
+    A transformation that applies rotation by *theta*, after transform by *trans_shift*.
+    """
+    def __init__(self, theta, trans_shift):
+        super().__init__()
+        self._theta = theta
+        self._trans_shift = trans_shift
+        self._mtx = None
+
+    def get_matrix(self):
+        if self._invalid:
+            transformed_coords = self._trans_shift.transform([[self._theta, 0]])[0]
+            adjusted_theta = transformed_coords[0]
+            rotation = Affine2D().rotate(adjusted_theta)
+            self._mtx = rotation.get_matrix()
+        return self._mtx
+
+
+class AffineDeltaTransform(Affine2DBase):
+    r"""
+    A transform wrapper for transforming displacements between pairs of points.
+
+    This class is intended to be used to transform displacements ("position
+    deltas") between pairs of points (e.g., as the ``offset_transform``
+    of `.Collection`\s): given a transform ``t`` such that ``t =
+    AffineDeltaTransform(t) + offset``, ``AffineDeltaTransform``
+    satisfies ``AffineDeltaTransform(a - b) == AffineDeltaTransform(a) -
+    AffineDeltaTransform(b)``.
+
+    This is implemented by forcing the offset components of the transform
+    matrix to zero.
+
+    This class is experimental as of 3.3, and the API may change.
+    """
+
+    pass_through = True
+
+    def __init__(self, transform, **kwargs):
+        super().__init__(**kwargs)
+        self._base_transform = transform
+        self.set_children(transform)
+
+    __str__ = _make_str_method("_base_transform")
+
+    def get_matrix(self):
+        if self._invalid:
+            self._mtx = self._base_transform.get_matrix().copy()
+            self._mtx[:2, -1] = 0
+        return self._mtx
 
 
 class TransformedPath(TransformNode):
     """
-    A :class:`TransformedPath` caches a non-affine transformed copy of
-    the :class:`~matplotlib.path.Path`.  This cached copy is
-    automatically updated when the non-affine part of the transform
-    changes.
+    A `TransformedPath` caches a non-affine transformed copy of the
+    `~.path.Path`.  This cached copy is automatically updated when the
+    non-affine part of the transform changes.
 
     .. note::
 
@@ -2569,12 +2752,13 @@ class TransformedPath(TransformNode):
     """
     def __init__(self, path, transform):
         """
-        Create a new :class:`TransformedPath` from the given
-        :class:`~matplotlib.path.Path` and :class:`Transform`.
+        Parameters
+        ----------
+        path : `~.path.Path`
+        transform : `Transform`
         """
-        assert isinstance(transform, Transform)
-        TransformNode.__init__(self)
-
+        _api.check_isinstance(Transform, transform=transform)
+        super().__init__()
         self._path = path
         self._transform = transform
         self.set_children(transform)
@@ -2582,14 +2766,16 @@ def __init__(self, path, transform):
         self._transformed_points = None
 
     def _revalidate(self):
-        # only recompute if the invalidation includes the non_affine part of the transform
-        if ((self._invalid & self.INVALID_NON_AFFINE == self.INVALID_NON_AFFINE)
-            or self._transformed_path is None):
+        # only recompute if the invalidation includes the non_affine part of
+        # the transform
+        if (self._invalid == self._INVALID_FULL
+                or self._transformed_path is None):
             self._transformed_path = \
                 self._transform.transform_path_non_affine(self._path)
             self._transformed_points = \
-                Path._fast_from_codes_and_verts(self._transform.transform_non_affine(self._path.vertices),
-                        None, {'interpolation_steps': self._path._interpolation_steps})
+                Path._fast_from_codes_and_verts(
+                    self._transform.transform_non_affine(self._path.vertices),
+                    None, self._path)
         self._invalid = 0
 
     def get_transformed_points_and_affine(self):
@@ -2623,39 +2809,79 @@ def get_affine(self):
         return self._transform.get_affine()
 
 
+class TransformedPatchPath(TransformedPath):
+    """
+    A `TransformedPatchPath` caches a non-affine transformed copy of the
+    `~.patches.Patch`. This cached copy is automatically updated when the
+    non-affine part of the transform or the patch changes.
+    """
+
+    def __init__(self, patch):
+        """
+        Parameters
+        ----------
+        patch : `~.patches.Patch`
+        """
+        # Defer to TransformedPath.__init__.
+        super().__init__(patch.get_path(), patch.get_transform())
+        self._patch = patch
+
+    def _revalidate(self):
+        patch_path = self._patch.get_path()
+        # Force invalidation if the patch path changed; otherwise, let base
+        # class check invalidation.
+        if patch_path != self._path:
+            self._path = patch_path
+            self._transformed_path = None
+        super()._revalidate()
+
+
 def nonsingular(vmin, vmax, expander=0.001, tiny=1e-15, increasing=True):
-    '''
+    """
     Modify the endpoints of a range as needed to avoid singularities.
 
-    *vmin*, *vmax*
-        the initial endpoints.
-
-    *tiny*
-        threshold for the ratio of the interval to the maximum absolute
+    Parameters
+    ----------
+    vmin, vmax : float
+        The initial endpoints.
+    expander : float, default: 0.001
+        Fractional amount by which *vmin* and *vmax* are expanded if
+        the original interval is too small, based on *tiny*.
+    tiny : float, default: 1e-15
+        Threshold for the ratio of the interval to the maximum absolute
         value of its endpoints.  If the interval is smaller than
         this, it will be expanded.  This value should be around
         1e-15 or larger; otherwise the interval will be approaching
         the double precision resolution limit.
+    increasing : bool, default: True
+        If True, swap *vmin*, *vmax* if *vmin* > *vmax*.
+
+    Returns
+    -------
+    vmin, vmax : float
+        Endpoints, expanded and/or swapped if necessary.
+        If either input is inf or NaN, or if both inputs are 0 or very
+        close to zero, it returns -*expander*, *expander*.
+    """
 
-    *expander*
-        fractional amount by which *vmin* and *vmax* are expanded if
-        the original interval is too small, based on *tiny*.
-
-    *increasing*: [True | False]
-        If True (default), swap *vmin*, *vmax* if *vmin* > *vmax*
-
-    Returns *vmin*, *vmax*, expanded and/or swapped if necessary.
-
-    If either input is inf or NaN, or if both inputs are 0,
-    returns -*expander*, *expander*.
-    '''
     if (not np.isfinite(vmin)) or (not np.isfinite(vmax)):
         return -expander, expander
+
     swapped = False
     if vmax < vmin:
         vmin, vmax = vmax, vmin
         swapped = True
-    if vmax - vmin <= max(abs(vmin), abs(vmax)) * tiny:
+
+    # Expand vmin, vmax to float: if they were integer types, they can wrap
+    # around in abs (abs(np.int8(-128)) == -128) and vmax - vmin can overflow.
+    vmin, vmax = map(float, [vmin, vmax])
+
+    maxabsvalue = max(abs(vmin), abs(vmax))
+    if maxabsvalue < (1e6 / tiny) * np.finfo(float).tiny:
+        vmin = -expander
+        vmax = expander
+
+    elif vmax - vmin <= maxabsvalue * tiny:
         if vmax == 0 and vmin == 0:
             vmin = -expander
             vmax = expander
@@ -2669,27 +2895,97 @@ def nonsingular(vmin, vmax, expander=0.001, tiny=1e-15, increasing=True):
 
 
 def interval_contains(interval, val):
+    """
+    Check, inclusively, whether an interval includes a given value.
+
+    Parameters
+    ----------
+    interval : (float, float)
+        The endpoints of the interval.
+    val : float
+        Value to check is within interval.
+
+    Returns
+    -------
+    bool
+        Whether *val* is within the *interval*.
+    """
+    a, b = interval
+    if a > b:
+        a, b = b, a
+    return a <= val <= b
+
+
+def _interval_contains_close(interval, val, rtol=1e-10):
+    """
+    Check, inclusively, whether an interval includes a given value, with the
+    interval expanded by a small tolerance to admit floating point errors.
+
+    Parameters
+    ----------
+    interval : (float, float)
+        The endpoints of the interval.
+    val : float
+        Value to check is within interval.
+    rtol : float, default: 1e-10
+        Relative tolerance slippage allowed outside of the interval.
+        For an interval ``[a, b]``, values
+        ``a - rtol * (b - a) <= val <= b + rtol * (b - a)`` are considered
+        inside the interval.
+
+    Returns
+    -------
+    bool
+        Whether *val* is within the *interval* (with tolerance).
+    """
     a, b = interval
-    return (
-        ((a < b) and (a <= val and b >= val))
-        or (b <= val and a >= val))
+    if a > b:
+        a, b = b, a
+    rtol = (b - a) * rtol
+    return a - rtol <= val <= b + rtol
+
 
 def interval_contains_open(interval, val):
+    """
+    Check, excluding endpoints, whether an interval includes a given value.
+
+    Parameters
+    ----------
+    interval : (float, float)
+        The endpoints of the interval.
+    val : float
+        Value to check is within interval.
+
+    Returns
+    -------
+    bool
+        Whether *val* is within the *interval*.
+    """
     a, b = interval
-    return (
-        ((a < b) and (a < val and b > val))
-        or (b < val and a > val))
+    return a < val < b or a > val > b
+
 
 def offset_copy(trans, fig=None, x=0.0, y=0.0, units='inches'):
-    '''
+    """
     Return a new transform with an added offset.
-      args:
-        trans is any transform
-      kwargs:
-        fig is the current figure; it can be None if units are 'dots'
-        x, y give the offset
-        units is 'inches', 'points' or 'dots'
-    '''
+
+    Parameters
+    ----------
+    trans : `Transform` subclass
+        Any transform, to which offset will be applied.
+    fig : `~matplotlib.figure.Figure`, default: None
+        Current figure. It can be None if *units* are 'dots'.
+    x, y : float, default: 0.0
+        The offset to apply.
+    units : {'inches', 'points', 'dots'}, default: 'inches'
+        Units of the offset.
+
+    Returns
+    -------
+    `Transform` subclass
+        Transform with applied offset.
+    """
+    _api.check_in_list(['dots', 'points', 'inches'], units=units)
     if units == 'dots':
         return trans + Affine2D().translate(x, y)
     if fig is None:
@@ -2697,6 +2993,5 @@ def offset_copy(trans, fig=None, x=0.0, y=0.0, units='inches'):
     if units == 'points':
         x /= 72.0
         y /= 72.0
-    elif not units == 'inches':
-        raise ValueError('units must be dots, points, or inches')
+    # Default units are 'inches'
     return trans + ScaledTranslation(x, y, fig.dpi_scale_trans)
diff --git a/lib/matplotlib/transforms.pyi b/lib/matplotlib/transforms.pyi
new file mode 100644
index 000000000000..07d299be297c
--- /dev/null
+++ b/lib/matplotlib/transforms.pyi
@@ -0,0 +1,337 @@
+from .path import Path
+from .patches import Patch
+from .figure import Figure
+import numpy as np
+from numpy.typing import ArrayLike
+from collections.abc import Iterable, Sequence
+from typing import Literal
+
+DEBUG: bool
+
+class TransformNode:
+    INVALID_NON_AFFINE: int
+    INVALID_AFFINE: int
+    INVALID: int
+    # Implemented as a standard attr in base class, but functionally readonly and some subclasses implement as such
+    @property
+    def is_affine(self) -> bool: ...
+    pass_through: bool
+    def __init__(self, shorthand_name: str | None = ...) -> None: ...
+    def __copy__(self) -> TransformNode: ...
+    def invalidate(self) -> None: ...
+    def set_children(self, *children: TransformNode) -> None: ...
+    def frozen(self) -> TransformNode: ...
+
+class BboxBase(TransformNode):
+    is_affine: bool
+    def frozen(self) -> Bbox: ...
+    def __array__(self, *args, **kwargs): ...
+    @property
+    def x0(self) -> float: ...
+    @property
+    def y0(self) -> float: ...
+    @property
+    def x1(self) -> float: ...
+    @property
+    def y1(self) -> float: ...
+    @property
+    def p0(self) -> tuple[float, float]: ...
+    @property
+    def p1(self) -> tuple[float, float]: ...
+    @property
+    def xmin(self) -> float: ...
+    @property
+    def ymin(self) -> float: ...
+    @property
+    def xmax(self) -> float: ...
+    @property
+    def ymax(self) -> float: ...
+    @property
+    def min(self) -> tuple[float, float]: ...
+    @property
+    def max(self) -> tuple[float, float]: ...
+    @property
+    def intervalx(self) -> tuple[float, float]: ...
+    @property
+    def intervaly(self) -> tuple[float, float]: ...
+    @property
+    def width(self) -> float: ...
+    @property
+    def height(self) -> float: ...
+    @property
+    def size(self) -> tuple[float, float]: ...
+    @property
+    def bounds(self) -> tuple[float, float, float, float]: ...
+    @property
+    def extents(self) -> tuple[float, float, float, float]: ...
+    def get_points(self) -> np.ndarray: ...
+    def containsx(self, x: float) -> bool: ...
+    def containsy(self, y: float) -> bool: ...
+    def contains(self, x: float, y: float) -> bool: ...
+    def overlaps(self, other: BboxBase) -> bool: ...
+    def fully_containsx(self, x: float) -> bool: ...
+    def fully_containsy(self, y: float) -> bool: ...
+    def fully_contains(self, x: float, y: float) -> bool: ...
+    def fully_overlaps(self, other: BboxBase) -> bool: ...
+    def transformed(self, transform: Transform) -> Bbox: ...
+    coefs: dict[str, tuple[float, float]]
+    def anchored(
+        self,
+        c: tuple[float, float] | Literal['C', 'SW', 'S', 'SE', 'E', 'NE', 'N', 'NW', 'W'],
+        container: BboxBase,
+    ) -> Bbox: ...
+    def shrunk(self, mx: float, my: float) -> Bbox: ...
+    def shrunk_to_aspect(
+        self,
+        box_aspect: float,
+        container: BboxBase | None = ...,
+        fig_aspect: float = ...,
+    ) -> Bbox: ...
+    def splitx(self, *args: float) -> list[Bbox]: ...
+    def splity(self, *args: float) -> list[Bbox]: ...
+    def count_contains(self, vertices: ArrayLike) -> int: ...
+    def count_overlaps(self, bboxes: Iterable[BboxBase]) -> int: ...
+    def expanded(self, sw: float, sh: float) -> Bbox: ...
+    def padded(self, w_pad: float, h_pad: float | None = ...) -> Bbox: ...
+    def translated(self, tx: float, ty: float) -> Bbox: ...
+    def corners(self) -> np.ndarray: ...
+    def rotated(self, radians: float) -> Bbox: ...
+    @staticmethod
+    def union(bboxes: Sequence[BboxBase]) -> Bbox: ...
+    @staticmethod
+    def intersection(bbox1: BboxBase, bbox2: BboxBase) -> Bbox | None: ...
+
+class Bbox(BboxBase):
+    def __init__(self, points: ArrayLike, **kwargs) -> None: ...
+    @staticmethod
+    def unit() -> Bbox: ...
+    @staticmethod
+    def null() -> Bbox: ...
+    @staticmethod
+    def from_bounds(x0: float, y0: float, width: float, height: float) -> Bbox: ...
+    @staticmethod
+    def from_extents(*args: float, minpos: float | None = ...) -> Bbox: ...
+    def __format__(self, fmt: str) -> str: ...
+    def ignore(self, value: bool) -> None: ...
+    def update_from_path(
+        self,
+        path: Path,
+        ignore: bool | None = ...,
+        updatex: bool = ...,
+        updatey: bool = ...,
+    ) -> None: ...
+    def update_from_data_x(self, x: ArrayLike, ignore: bool | None = ...) -> None: ...
+    def update_from_data_y(self, y: ArrayLike, ignore: bool | None = ...) -> None: ...
+    def update_from_data_xy(
+        self,
+        xy: ArrayLike,
+        ignore: bool | None = ...,
+        updatex: bool = ...,
+        updatey: bool = ...,
+    ) -> None: ...
+    @property
+    def minpos(self) -> float: ...
+    @property
+    def minposx(self) -> float: ...
+    @property
+    def minposy(self) -> float: ...
+    def get_points(self) -> np.ndarray: ...
+    def set_points(self, points: ArrayLike) -> None: ...
+    def set(self, other: Bbox) -> None: ...
+    def mutated(self) -> bool: ...
+    def mutatedx(self) -> bool: ...
+    def mutatedy(self) -> bool: ...
+
+class TransformedBbox(BboxBase):
+    def __init__(self, bbox: Bbox, transform: Transform, **kwargs) -> None: ...
+    def get_points(self) -> np.ndarray: ...
+
+class LockableBbox(BboxBase):
+    def __init__(
+        self,
+        bbox: BboxBase,
+        x0: float | None = ...,
+        y0: float | None = ...,
+        x1: float | None = ...,
+        y1: float | None = ...,
+        **kwargs
+    ) -> None: ...
+    @property
+    def locked_x0(self) -> float | None: ...
+    @locked_x0.setter
+    def locked_x0(self, x0: float | None) -> None: ...
+    @property
+    def locked_y0(self) -> float | None: ...
+    @locked_y0.setter
+    def locked_y0(self, y0: float | None) -> None: ...
+    @property
+    def locked_x1(self) -> float | None: ...
+    @locked_x1.setter
+    def locked_x1(self, x1: float | None) -> None: ...
+    @property
+    def locked_y1(self) -> float | None: ...
+    @locked_y1.setter
+    def locked_y1(self, y1: float | None) -> None: ...
+
+class Transform(TransformNode):
+
+    # Implemented as a standard attrs in base class, but functionally readonly and some subclasses implement as such
+    @property
+    def input_dims(self) -> int | None: ...
+    @property
+    def output_dims(self) -> int | None: ...
+    @property
+    def is_separable(self) -> bool: ...
+    @property
+    def has_inverse(self) -> bool: ...
+
+    def __add__(self, other: Transform) -> Transform: ...
+    @property
+    def depth(self) -> int: ...
+    def contains_branch(self, other: Transform) -> bool: ...
+    def contains_branch_seperately(
+        self, other_transform: Transform
+    ) -> Sequence[bool]: ...
+    def __sub__(self, other: Transform) -> Transform: ...
+    def __array__(self, *args, **kwargs) -> np.ndarray: ...
+    def transform(self, values: ArrayLike) -> np.ndarray: ...
+    def transform_affine(self, values: ArrayLike) -> np.ndarray: ...
+    def transform_non_affine(self, values: ArrayLike) -> ArrayLike: ...
+    def transform_bbox(self, bbox: BboxBase) -> Bbox: ...
+    def get_affine(self) -> Transform: ...
+    def get_matrix(self) -> np.ndarray: ...
+    def transform_point(self, point: ArrayLike) -> np.ndarray: ...
+    def transform_path(self, path: Path) -> Path: ...
+    def transform_path_affine(self, path: Path) -> Path: ...
+    def transform_path_non_affine(self, path: Path) -> Path: ...
+    def transform_angles(
+        self,
+        angles: ArrayLike,
+        pts: ArrayLike,
+        radians: bool = ...,
+        pushoff: float = ...,
+    ) -> np.ndarray: ...
+    def inverted(self) -> Transform: ...
+
+class TransformWrapper(Transform):
+    pass_through: bool
+    def __init__(self, child: Transform) -> None: ...
+    def __eq__(self, other: object) -> bool: ...
+    def frozen(self) -> Transform: ...
+    def set(self, child: Transform) -> None: ...
+
+class AffineBase(Transform):
+    is_affine: Literal[True]
+    def __init__(self, *args, **kwargs) -> None: ...
+    def __eq__(self, other: object) -> bool: ...
+
+class Affine2DBase(AffineBase):
+    input_dims: Literal[2]
+    output_dims: Literal[2]
+    def frozen(self) -> Affine2D: ...
+    def to_values(self) -> tuple[float, float, float, float, float, float]: ...
+
+class Affine2D(Affine2DBase):
+    def __init__(self, matrix: ArrayLike | None = ..., **kwargs) -> None: ...
+    @staticmethod
+    def from_values(
+        a: float, b: float, c: float, d: float, e: float, f: float
+    ) -> Affine2D: ...
+    def set_matrix(self, mtx: ArrayLike) -> None: ...
+    def clear(self) -> Affine2D: ...
+    def rotate(self, theta: float) -> Affine2D: ...
+    def rotate_deg(self, degrees: float) -> Affine2D: ...
+    def rotate_around(self, x: float, y: float, theta: float) -> Affine2D: ...
+    def rotate_deg_around(self, x: float, y: float, degrees: float) -> Affine2D: ...
+    def translate(self, tx: float, ty: float) -> Affine2D: ...
+    def scale(self, sx: float, sy: float | None = ...) -> Affine2D: ...
+    def skew(self, xShear: float, yShear: float) -> Affine2D: ...
+    def skew_deg(self, xShear: float, yShear: float) -> Affine2D: ...
+
+class IdentityTransform(Affine2DBase): ...
+
+class _BlendedMixin:
+    def __eq__(self, other: object) -> bool: ...
+    def contains_branch_seperately(self, transform: Transform) -> Sequence[bool]: ...
+
+class BlendedGenericTransform(_BlendedMixin, Transform):
+    input_dims: Literal[2]
+    output_dims: Literal[2]
+    pass_through: bool
+    def __init__(
+        self, x_transform: Transform, y_transform: Transform, **kwargs
+    ) -> None: ...
+    @property
+    def depth(self) -> int: ...
+    def contains_branch(self, other: Transform) -> Literal[False]: ...
+    @property
+    def is_affine(self) -> bool: ...
+
+class BlendedAffine2D(_BlendedMixin, Affine2DBase):
+    def __init__(
+        self, x_transform: Transform, y_transform: Transform, **kwargs
+    ) -> None: ...
+
+def blended_transform_factory(
+    x_transform: Transform, y_transform: Transform
+) -> BlendedGenericTransform | BlendedAffine2D: ...
+
+class CompositeGenericTransform(Transform):
+    pass_through: bool
+    def __init__(self, a: Transform, b: Transform, **kwargs) -> None: ...
+
+class CompositeAffine2D(Affine2DBase):
+    def __init__(self, a: Affine2DBase, b: Affine2DBase, **kwargs) -> None: ...
+    @property
+    def depth(self) -> int: ...
+
+def composite_transform_factory(a: Transform, b: Transform) -> Transform: ...
+
+class BboxTransform(Affine2DBase):
+    def __init__(self, boxin: BboxBase, boxout: BboxBase, **kwargs) -> None: ...
+
+class BboxTransformTo(Affine2DBase):
+    def __init__(self, boxout: BboxBase, **kwargs) -> None: ...
+
+class BboxTransformFrom(Affine2DBase):
+    def __init__(self, boxin: BboxBase, **kwargs) -> None: ...
+
+class ScaledTranslation(Affine2DBase):
+    def __init__(
+        self, xt: float, yt: float, scale_trans: Affine2DBase, **kwargs
+    ) -> None: ...
+
+class AffineDeltaTransform(Affine2DBase):
+    def __init__(self, transform: Affine2DBase, **kwargs) -> None: ...
+
+class TransformedPath(TransformNode):
+    def __init__(self, path: Path, transform: Transform) -> None: ...
+    def get_transformed_points_and_affine(self) -> tuple[Path, Transform]: ...
+    def get_transformed_path_and_affine(self) -> tuple[Path, Transform]: ...
+    def get_fully_transformed_path(self) -> Path: ...
+    def get_affine(self) -> Transform: ...
+
+class TransformedPatchPath(TransformedPath):
+    def __init__(self, patch: Patch) -> None: ...
+
+def nonsingular(
+    vmin: float,
+    vmax: float,
+    expander: float = ...,
+    tiny: float = ...,
+    increasing: bool = ...,
+) -> tuple[float, float]: ...
+def interval_contains(interval: tuple[float, float], val: float) -> bool: ...
+def interval_contains_open(interval: tuple[float, float], val: float) -> bool: ...
+def offset_copy(
+    trans: Transform,
+    fig: Figure | None = ...,
+    x: float = ...,
+    y: float = ...,
+    units: Literal["inches", "points", "dots"] = ...,
+) -> Transform: ...
+
+
+class _ScaledRotation(Affine2DBase):
+    def __init__(self, theta: float, trans_shift: Transform) -> None: ...
+    def get_matrix(self) -> np.ndarray: ...
diff --git a/lib/matplotlib/tri/__init__.py b/lib/matplotlib/tri/__init__.py
index 7ea09f8b3f10..e000831d8a08 100644
--- a/lib/matplotlib/tri/__init__.py
+++ b/lib/matplotlib/tri/__init__.py
@@ -1,16 +1,23 @@
 """
 Unstructured triangular grid functions.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+from ._triangulation import Triangulation
+from ._tricontour import TriContourSet, tricontour, tricontourf
+from ._trifinder import TriFinder, TrapezoidMapTriFinder
+from ._triinterpolate import (TriInterpolator, LinearTriInterpolator,
+                              CubicTriInterpolator)
+from ._tripcolor import tripcolor
+from ._triplot import triplot
+from ._trirefine import TriRefiner, UniformTriRefiner
+from ._tritools import TriAnalyzer
 
-from .triangulation import *
-from .tricontour import *
-from .tritools import *
-from .trifinder import *
-from .triinterpolate import *
-from .trirefine import *
-from .tripcolor import *
-from .triplot import *
+
+__all__ = ["Triangulation",
+           "TriContourSet", "tricontour", "tricontourf",
+           "TriFinder", "TrapezoidMapTriFinder",
+           "TriInterpolator", "LinearTriInterpolator", "CubicTriInterpolator",
+           "tripcolor",
+           "triplot",
+           "TriRefiner", "UniformTriRefiner",
+           "TriAnalyzer"]
diff --git a/lib/matplotlib/tri/_tri_wrapper.cpp b/lib/matplotlib/tri/_tri_wrapper.cpp
deleted file mode 100644
index b06c95d6a12e..000000000000
--- a/lib/matplotlib/tri/_tri_wrapper.cpp
+++ /dev/null
@@ -1,538 +0,0 @@
-#include "_tri.h"
-#include "src/mplutils.h"
-#include "src/py_exceptions.h"
-
-
-/* Triangulation */
-
-typedef struct
-{
-    PyObject_HEAD;
-    Triangulation* ptr;
-} PyTriangulation;
-
-static PyTypeObject PyTriangulationType;
-
-static PyObject* PyTriangulation_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
-{
-    PyTriangulation* self;
-    self = (PyTriangulation*)type->tp_alloc(type, 0);
-    self->ptr = NULL;
-    return (PyObject*)self;
-}
-
-const char* PyTriangulation_init__doc__ =
-    "Triangulation(x, y, triangles, mask, edges, neighbors)\n"
-    "\n"
-    "Create a new C++ Triangulation object\n"
-    "This should not be called directly, instead use the python class\n"
-    "matplotlib.tri.Triangulation instead.\n";
-
-static int PyTriangulation_init(PyTriangulation* self, PyObject* args, PyObject* kwds)
-{
-    Triangulation::CoordinateArray x, y;
-    Triangulation::TriangleArray triangles;
-    Triangulation::MaskArray mask;
-    Triangulation::EdgeArray edges;
-    Triangulation::NeighborArray neighbors;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&O&O&",
-                          &x.converter, &x,
-                          &y.converter, &y,
-                          &triangles.converter, &triangles,
-                          &mask.converter, &mask,
-                          &edges.converter, &edges,
-                          &neighbors.converter, &neighbors)) {
-        return -1;
-    }
-
-    // x and y.
-    if (x.empty() || y.empty() || x.dim(0) != y.dim(0)) {
-        PyErr_SetString(PyExc_ValueError,
-            "x and y must be 1D arrays of the same length");
-    }
-
-    // triangles.
-    if (triangles.empty() || triangles.dim(1) != 3) {
-        PyErr_SetString(PyExc_ValueError,
-            "triangles must be a 2D array of shape (?,3)");
-    }
-
-    // Optional mask.
-    if (!mask.empty() && mask.dim(0) != triangles.dim(0)) {
-        PyErr_SetString(PyExc_ValueError,
-            "mask must be a 1D array with the same length as the triangles array");
-    }
-
-    // Optional edges.
-    if (!edges.empty() && edges.dim(1) != 2) {
-        PyErr_SetString(PyExc_ValueError,
-            "edges must be a 2D array with shape (?,2)");
-    }
-
-    // Optional neighbors.
-    if (!neighbors.empty() && (neighbors.dim(0) != triangles.dim(0) ||
-                               neighbors.dim(1) != triangles.dim(1))) {
-        PyErr_SetString(PyExc_ValueError,
-            "neighbors must be a 2D array with the same shape as the triangles array");
-    }
-
-    CALL_CPP_INIT("Triangulation",
-                  (self->ptr = new Triangulation(x, y, triangles, mask,
-                                                 edges, neighbors)));
-    return 0;
-}
-
-static void PyTriangulation_dealloc(PyTriangulation* self)
-{
-    delete self->ptr;
-    Py_TYPE(self)->tp_free((PyObject*)self);
-}
-
-const char* PyTriangulation_calculate_plane_coefficients__doc__ =
-    "calculate_plane_coefficients(z, plane_coefficients)\n"
-    "\n"
-    "Calculate plane equation coefficients for all unmasked triangles";
-
-static PyObject* PyTriangulation_calculate_plane_coefficients(PyTriangulation* self, PyObject* args, PyObject* kwds)
-{
-    Triangulation::CoordinateArray z;
-    if (!PyArg_ParseTuple(args, "O&:calculate_plane_coefficients",
-                          &z.converter, &z)) {
-        return NULL;
-    }
-
-    if (z.empty() || z.dim(0) != self->ptr->get_npoints()) {
-        PyErr_SetString(PyExc_ValueError,
-            "z array must have same length as triangulation x and y arrays");
-    }
-
-    Triangulation::TwoCoordinateArray result;
-    CALL_CPP("calculate_plane_coefficients",
-             (result = self->ptr->calculate_plane_coefficients(z)));
-    return result.pyobj();
-}
-
-const char* PyTriangulation_get_edges__doc__ =
-    "get_edges()\n"
-    "\n"
-    "Return edges array";
-
-static PyObject* PyTriangulation_get_edges(PyTriangulation* self, PyObject* args, PyObject* kwds)
-{
-    Triangulation::EdgeArray* result;
-    CALL_CPP("get_edges", (result = &self->ptr->get_edges()));
-
-    if (result->empty()) {
-        Py_RETURN_NONE;
-    }
-    else
-        return result->pyobj();
-}
-
-const char* PyTriangulation_get_neighbors__doc__ =
-    "get_neighbors()\n"
-    "\n"
-    "Return neighbors array";
-
-static PyObject* PyTriangulation_get_neighbors(PyTriangulation* self, PyObject* args, PyObject* kwds)
-{
-    Triangulation::NeighborArray* result;
-    CALL_CPP("get_neighbors", (result = &self->ptr->get_neighbors()));
-
-    if (result->empty()) {
-        Py_RETURN_NONE;
-    }
-    else
-        return result->pyobj();
-}
-
-const char* PyTriangulation_set_mask__doc__ =
-    "set_mask(mask)\n"
-    "\n"
-    "Set or clear the mask array.";
-
-static PyObject* PyTriangulation_set_mask(PyTriangulation* self, PyObject* args, PyObject* kwds)
-{
-    Triangulation::MaskArray mask;
-
-    if (!PyArg_ParseTuple(args, "O&:set_mask", &mask.converter, &mask)) {
-        return NULL;
-    }
-
-    if (!mask.empty() && mask.dim(0) != self->ptr->get_ntri()) {
-        PyErr_SetString(PyExc_ValueError,
-            "mask must be a 1D array with the same length as the triangles array");
-    }
-
-    CALL_CPP("set_mask", (self->ptr->set_mask(mask)));
-    Py_RETURN_NONE;
-}
-
-static PyTypeObject* PyTriangulation_init_type(PyObject* m, PyTypeObject* type)
-{
-    static PyMethodDef methods[] = {
-        {"calculate_plane_coefficients", (PyCFunction)PyTriangulation_calculate_plane_coefficients, METH_VARARGS, PyTriangulation_calculate_plane_coefficients__doc__},
-        {"get_edges", (PyCFunction)PyTriangulation_get_edges, METH_NOARGS, PyTriangulation_get_edges__doc__},
-        {"get_neighbors", (PyCFunction)PyTriangulation_get_neighbors, METH_NOARGS, PyTriangulation_get_neighbors__doc__},
-        {"set_mask", (PyCFunction)PyTriangulation_set_mask, METH_VARARGS, PyTriangulation_set_mask__doc__},
-        {NULL}
-    };
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib._tri.Triangulation";
-    type->tp_doc = PyTriangulation_init__doc__;
-    type->tp_basicsize = sizeof(PyTriangulation);
-    type->tp_dealloc = (destructor)PyTriangulation_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT;
-    type->tp_methods = methods;
-    type->tp_new = PyTriangulation_new;
-    type->tp_init = (initproc)PyTriangulation_init;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    if (PyModule_AddObject(m, "Triangulation", (PyObject*)type)) {
-        return NULL;
-    }
-
-    return type;
-}
-
-
-/* TriContourGenerator */
-
-typedef struct
-{
-    PyObject_HEAD;
-    TriContourGenerator* ptr;
-    PyTriangulation* py_triangulation;
-} PyTriContourGenerator;
-
-static PyTypeObject PyTriContourGeneratorType;
-
-static PyObject* PyTriContourGenerator_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
-{
-    PyTriContourGenerator* self;
-    self = (PyTriContourGenerator*)type->tp_alloc(type, 0);
-    self->ptr = NULL;
-    self->py_triangulation = NULL;
-    return (PyObject*)self;
-}
-
-const char* PyTriContourGenerator_init__doc__ =
-    "TriContourGenerator(triangulation, z)\n"
-    "\n"
-    "Create a new C++ TriContourGenerator object\n"
-    "This should not be called directly, instead use the functions\n"
-    "matplotlib.axes.tricontour and tricontourf instead.\n";
-
-static int PyTriContourGenerator_init(PyTriContourGenerator* self, PyObject* args, PyObject* kwds)
-{
-    PyObject* triangulation_arg;
-    TriContourGenerator::CoordinateArray z;
-
-    if (!PyArg_ParseTuple(args, "O!O&",
-                          &PyTriangulationType, &triangulation_arg,
-                          &z.converter, &z)) {
-        return -1;
-    }
-
-    PyTriangulation* py_triangulation = (PyTriangulation*)triangulation_arg;
-    Py_INCREF(py_triangulation);
-    self->py_triangulation = py_triangulation;
-    Triangulation& triangulation = *(py_triangulation->ptr);
-
-    if (z.empty() || z.dim(0) != triangulation.get_npoints()) {
-        PyErr_SetString(PyExc_ValueError,
-            "z must be a 1D array with the same length as the x and y arrays");
-    }
-
-    CALL_CPP_INIT("TriContourGenerator",
-                  (self->ptr = new TriContourGenerator(triangulation, z)));
-    return 0;
-}
-
-static void PyTriContourGenerator_dealloc(PyTriContourGenerator* self)
-{
-    delete self->ptr;
-    Py_XDECREF(self->py_triangulation);
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-const char* PyTriContourGenerator_create_contour__doc__ =
-    "create_contour(level)\n"
-    "\n"
-    "Create and return a non-filled contour.";
-
-static PyObject* PyTriContourGenerator_create_contour(PyTriContourGenerator* self, PyObject* args, PyObject* kwds)
-{
-    double level;
-    if (!PyArg_ParseTuple(args, "d:create_contour", &level)) {
-        return NULL;
-    }
-
-    PyObject* result;
-    CALL_CPP("get_edges", (result = self->ptr->create_contour(level)));
-    return result;
-}
-
-const char* PyTriContourGenerator_create_filled_contour__doc__ =
-    "create_filled_contour(lower_level, upper_level)\n"
-    "\n"
-    "Create and return a filled contour";
-
-static PyObject* PyTriContourGenerator_create_filled_contour(PyTriContourGenerator* self, PyObject* args, PyObject* kwds)
-{
-    double lower_level, upper_level;
-    if (!PyArg_ParseTuple(args, "dd:create_contour", &lower_level, &upper_level)) {
-        return NULL;
-    }
-
-    PyObject* result;
-    CALL_CPP("get_edges",
-             (result = self->ptr->create_filled_contour(lower_level,
-                                                        upper_level)));
-    return result;
-}
-
-static PyTypeObject* PyTriContourGenerator_init_type(PyObject* m, PyTypeObject* type)
-{
-    static PyMethodDef methods[] = {
-        {"create_contour", (PyCFunction)PyTriContourGenerator_create_contour, METH_VARARGS, PyTriContourGenerator_create_contour__doc__},
-        {"create_filled_contour", (PyCFunction)PyTriContourGenerator_create_filled_contour, METH_VARARGS, PyTriContourGenerator_create_filled_contour__doc__},
-        {NULL}
-    };
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib._tri.TriContourGenerator";
-    type->tp_doc = PyTriContourGenerator_init__doc__;
-    type->tp_basicsize = sizeof(PyTriContourGenerator);
-    type->tp_dealloc = (destructor)PyTriContourGenerator_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT;
-    type->tp_methods = methods;
-    type->tp_new = PyTriContourGenerator_new;
-    type->tp_init = (initproc)PyTriContourGenerator_init;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    if (PyModule_AddObject(m, "TriContourGenerator", (PyObject*)type)) {
-        return NULL;
-    }
-
-    return type;
-}
-
-
-/* TrapezoidMapTriFinder */
-
-typedef struct
-{
-    PyObject_HEAD;
-    TrapezoidMapTriFinder* ptr;
-    PyTriangulation* py_triangulation;
-} PyTrapezoidMapTriFinder;
-
-static PyTypeObject PyTrapezoidMapTriFinderType;
-
-static PyObject* PyTrapezoidMapTriFinder_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
-{
-    PyTrapezoidMapTriFinder* self;
-    self = (PyTrapezoidMapTriFinder*)type->tp_alloc(type, 0);
-    self->ptr = NULL;
-    self->py_triangulation = NULL;
-    return (PyObject*)self;
-}
-
-const char* PyTrapezoidMapTriFinder_init__doc__ =
-    "TrapezoidMapTriFinder(triangulation)\n"
-    "\n"
-    "Create a new C++ TrapezoidMapTriFinder object\n"
-    "This should not be called directly, instead use the python class\n"
-    "matplotlib.tri.TrapezoidMapTriFinder instead.\n";
-
-static int PyTrapezoidMapTriFinder_init(PyTrapezoidMapTriFinder* self, PyObject* args, PyObject* kwds)
-{
-    PyObject* triangulation_arg;
-    if (!PyArg_ParseTuple(args, "O!",
-                          &PyTriangulationType, &triangulation_arg)) {
-        return -1;
-    }
-
-    PyTriangulation* py_triangulation = (PyTriangulation*)triangulation_arg;
-    Py_INCREF(py_triangulation);
-    self->py_triangulation = py_triangulation;
-    Triangulation& triangulation = *(py_triangulation->ptr);
-
-    CALL_CPP_INIT("TrapezoidMapTriFinder",
-                  (self->ptr = new TrapezoidMapTriFinder(triangulation)));
-    return 0;
-}
-
-static void PyTrapezoidMapTriFinder_dealloc(PyTrapezoidMapTriFinder* self)
-{
-    delete self->ptr;
-    Py_XDECREF(self->py_triangulation);
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-const char* PyTrapezoidMapTriFinder_find_many__doc__ =
-    "find_many(x, y)\n"
-    "\n"
-    "Find indices of triangles containing the point coordinates (x, y)";
-
-static PyObject* PyTrapezoidMapTriFinder_find_many(PyTrapezoidMapTriFinder* self, PyObject* args, PyObject* kwds)
-{
-    TrapezoidMapTriFinder::CoordinateArray x, y;
-    if (!PyArg_ParseTuple(args, "O&O&:find_many",
-                          &x.converter, &x,
-                          &y.converter, &y)) {
-        return NULL;
-    }
-
-    if (x.empty() || y.empty() || x.dim(0) != y.dim(0)) {
-        PyErr_SetString(PyExc_ValueError,
-            "x and y must be array_like with same shape");
-    }
-
-    TrapezoidMapTriFinder::TriIndexArray result;
-    CALL_CPP("find_many", (result = self->ptr->find_many(x, y)));
-    return result.pyobj();
-}
-
-const char* PyTrapezoidMapTriFinder_get_tree_stats__doc__ =
-    "get_tree_stats()\n"
-    "\n"
-    "Return statistics about the tree used by the trapezoid map";
-
-static PyObject* PyTrapezoidMapTriFinder_get_tree_stats(PyTrapezoidMapTriFinder* self, PyObject* args, PyObject* kwds)
-{
-    PyObject* result;
-    CALL_CPP("get_tree_stats", (result = self->ptr->get_tree_stats()));
-    return result;
-}
-
-const char* PyTrapezoidMapTriFinder_initialize__doc__ =
-    "initialize()\n"
-    "\n"
-    "Initialize this object, creating the trapezoid map from the triangulation";
-
-static PyObject* PyTrapezoidMapTriFinder_initialize(PyTrapezoidMapTriFinder* self, PyObject* args, PyObject* kwds)
-{
-    CALL_CPP("initialize", (self->ptr->initialize()));
-    Py_RETURN_NONE;
-}
-
-const char* PyTrapezoidMapTriFinder_print_tree__doc__ =
-    "print_tree()\n"
-    "\n"
-    "Print the search tree as text to stdout; useful for debug purposes";
-
-static PyObject* PyTrapezoidMapTriFinder_print_tree(PyTrapezoidMapTriFinder* self, PyObject* args, PyObject* kwds)
-{
-    CALL_CPP("print_tree", (self->ptr->print_tree()));
-    Py_RETURN_NONE;
-}
-
-static PyTypeObject* PyTrapezoidMapTriFinder_init_type(PyObject* m, PyTypeObject* type)
-{
-    static PyMethodDef methods[] = {
-        {"find_many", (PyCFunction)PyTrapezoidMapTriFinder_find_many, METH_VARARGS, PyTrapezoidMapTriFinder_find_many__doc__},
-        {"get_tree_stats", (PyCFunction)PyTrapezoidMapTriFinder_get_tree_stats, METH_NOARGS, PyTrapezoidMapTriFinder_get_tree_stats__doc__},
-        {"initialize", (PyCFunction)PyTrapezoidMapTriFinder_initialize, METH_NOARGS, PyTrapezoidMapTriFinder_initialize__doc__},
-        {"print_tree", (PyCFunction)PyTrapezoidMapTriFinder_print_tree, METH_NOARGS, PyTrapezoidMapTriFinder_print_tree__doc__},
-        {NULL}
-    };
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib._tri.TrapezoidMapTriFinder";
-    type->tp_doc = PyTrapezoidMapTriFinder_init__doc__;
-    type->tp_basicsize = sizeof(PyTrapezoidMapTriFinder);
-    type->tp_dealloc = (destructor)PyTrapezoidMapTriFinder_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT;
-    type->tp_methods = methods;
-    type->tp_new = PyTrapezoidMapTriFinder_new;
-    type->tp_init = (initproc)PyTrapezoidMapTriFinder_init;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    if (PyModule_AddObject(m, "TrapezoidMapTriFinder", (PyObject*)type)) {
-        return NULL;
-    }
-
-    return type;
-}
-
-
-/* Module */
-
-extern "C" {
-
-struct module_state
-{
-/* The Sun compiler can't handle empty structs */
-#if defined(__SUNPRO_C) || defined(_MSC_VER)
-    int _dummy;
-#endif
-};
-
-#if PY3K
-static struct PyModuleDef moduledef = {
-    PyModuleDef_HEAD_INIT,
-    "_tri",
-    NULL,
-    sizeof(struct module_state),
-    NULL,
-    NULL,
-    NULL,
-    NULL,
-    NULL
-};
-
-#define INITERROR return NULL
-
-PyMODINIT_FUNC PyInit__tri(void)
-
-#else
-#define INITERROR return
-
-PyMODINIT_FUNC init_tri(void)
-#endif
-
-{
-    PyObject *m;
-
-#if PY3K
-    m = PyModule_Create(&moduledef);
-#else
-    m = Py_InitModule3("_tri", NULL, NULL);
-#endif
-
-    if (m == NULL) {
-        INITERROR;
-    }
-
-    if (!PyTriangulation_init_type(m, &PyTriangulationType)) {
-        INITERROR;
-    }
-    if (!PyTriContourGenerator_init_type(m, &PyTriContourGeneratorType)) {
-        INITERROR;
-    }
-    if (!PyTrapezoidMapTriFinder_init_type(m, &PyTrapezoidMapTriFinderType)) {
-        INITERROR;
-    }
-
-    import_array();
-
-#if PY3K
-    return m;
-#endif
-}
-
-} // extern "C"
diff --git a/lib/matplotlib/tri/_triangulation.py b/lib/matplotlib/tri/_triangulation.py
new file mode 100644
index 000000000000..a07192dfc8ca
--- /dev/null
+++ b/lib/matplotlib/tri/_triangulation.py
@@ -0,0 +1,247 @@
+import sys
+
+import numpy as np
+
+from matplotlib import _api
+
+
+class Triangulation:
+    """
+    An unstructured triangular grid consisting of npoints points and
+    ntri triangles.  The triangles can either be specified by the user
+    or automatically generated using a Delaunay triangulation.
+
+    Parameters
+    ----------
+    x, y : (npoints,) array-like
+        Coordinates of grid points.
+    triangles : (ntri, 3) array-like of int, optional
+        For each triangle, the indices of the three points that make
+        up the triangle, ordered in an anticlockwise manner.  If not
+        specified, the Delaunay triangulation is calculated.
+    mask : (ntri,) array-like of bool, optional
+        Which triangles are masked out.
+
+    Attributes
+    ----------
+    triangles : (ntri, 3) array of int
+        For each triangle, the indices of the three points that make
+        up the triangle, ordered in an anticlockwise manner. If you want to
+        take the *mask* into account, use `get_masked_triangles` instead.
+    mask : (ntri, 3) array of bool or None
+        Masked out triangles.
+    is_delaunay : bool
+        Whether the Triangulation is a calculated Delaunay
+        triangulation (where *triangles* was not specified) or not.
+
+    Notes
+    -----
+    For a Triangulation to be valid it must not have duplicate points,
+    triangles formed from colinear points, or overlapping triangles.
+    """
+    def __init__(self, x, y, triangles=None, mask=None):
+        from matplotlib import _qhull
+
+        self.x = np.asarray(x, dtype=np.float64)
+        self.y = np.asarray(y, dtype=np.float64)
+        if self.x.shape != self.y.shape or self.x.ndim != 1:
+            raise ValueError("x and y must be equal-length 1D arrays, but "
+                             f"found shapes {self.x.shape!r} and "
+                             f"{self.y.shape!r}")
+
+        self.mask = None
+        self._edges = None
+        self._neighbors = None
+        self.is_delaunay = False
+
+        if triangles is None:
+            # No triangulation specified, so use matplotlib._qhull to obtain
+            # Delaunay triangulation.
+            self.triangles, self._neighbors = _qhull.delaunay(x, y, sys.flags.verbose)
+            self.is_delaunay = True
+        else:
+            # Triangulation specified. Copy, since we may correct triangle
+            # orientation.
+            try:
+                self.triangles = np.array(triangles, dtype=np.int32, order='C')
+            except ValueError as e:
+                raise ValueError('triangles must be a (N, 3) int array, not '
+                                 f'{triangles!r}') from e
+            if self.triangles.ndim != 2 or self.triangles.shape[1] != 3:
+                raise ValueError(
+                    'triangles must be a (N, 3) int array, but found shape '
+                    f'{self.triangles.shape!r}')
+            if self.triangles.max() >= len(self.x):
+                raise ValueError(
+                    'triangles are indices into the points and must be in the '
+                    f'range 0 <= i < {len(self.x)} but found value '
+                    f'{self.triangles.max()}')
+            if self.triangles.min() < 0:
+                raise ValueError(
+                    'triangles are indices into the points and must be in the '
+                    f'range 0 <= i < {len(self.x)} but found value '
+                    f'{self.triangles.min()}')
+
+        # Underlying C++ object is not created until first needed.
+        self._cpp_triangulation = None
+
+        # Default TriFinder not created until needed.
+        self._trifinder = None
+
+        self.set_mask(mask)
+
+    def calculate_plane_coefficients(self, z):
+        """
+        Calculate plane equation coefficients for all unmasked triangles from
+        the point (x, y) coordinates and specified z-array of shape (npoints).
+        The returned array has shape (npoints, 3) and allows z-value at (x, y)
+        position in triangle tri to be calculated using
+        ``z = array[tri, 0] * x  + array[tri, 1] * y + array[tri, 2]``.
+        """
+        return self.get_cpp_triangulation().calculate_plane_coefficients(z)
+
+    @property
+    def edges(self):
+        """
+        Return integer array of shape (nedges, 2) containing all edges of
+        non-masked triangles.
+
+        Each row defines an edge by its start point index and end point
+        index.  Each edge appears only once, i.e. for an edge between points
+        *i*  and *j*, there will only be either *(i, j)* or *(j, i)*.
+        """
+        if self._edges is None:
+            self._edges = self.get_cpp_triangulation().get_edges()
+        return self._edges
+
+    def get_cpp_triangulation(self):
+        """
+        Return the underlying C++ Triangulation object, creating it
+        if necessary.
+        """
+        from matplotlib import _tri
+        if self._cpp_triangulation is None:
+            self._cpp_triangulation = _tri.Triangulation(
+                # For unset arrays use empty tuple which has size of zero.
+                self.x, self.y, self.triangles,
+                self.mask if self.mask is not None else (),
+                self._edges if self._edges is not None else (),
+                self._neighbors if self._neighbors is not None else (),
+                not self.is_delaunay)
+        return self._cpp_triangulation
+
+    def get_masked_triangles(self):
+        """
+        Return an array of triangles taking the mask into account.
+        """
+        if self.mask is not None:
+            return self.triangles[~self.mask]
+        else:
+            return self.triangles
+
+    @staticmethod
+    def get_from_args_and_kwargs(*args, **kwargs):
+        """
+        Return a Triangulation object from the args and kwargs, and
+        the remaining args and kwargs with the consumed values removed.
+
+        There are two alternatives: either the first argument is a
+        Triangulation object, in which case it is returned, or the args
+        and kwargs are sufficient to create a new Triangulation to
+        return.  In the latter case, see Triangulation.__init__ for
+        the possible args and kwargs.
+        """
+        if isinstance(args[0], Triangulation):
+            triangulation, *args = args
+            if 'triangles' in kwargs:
+                _api.warn_external(
+                    "Passing the keyword 'triangles' has no effect when also "
+                    "passing a Triangulation")
+            if 'mask' in kwargs:
+                _api.warn_external(
+                    "Passing the keyword 'mask' has no effect when also "
+                    "passing a Triangulation")
+        else:
+            x, y, triangles, mask, args, kwargs = \
+                Triangulation._extract_triangulation_params(args, kwargs)
+            triangulation = Triangulation(x, y, triangles, mask)
+        return triangulation, args, kwargs
+
+    @staticmethod
+    def _extract_triangulation_params(args, kwargs):
+        x, y, *args = args
+        # Check triangles in kwargs then args.
+        triangles = kwargs.pop('triangles', None)
+        from_args = False
+        if triangles is None and args:
+            triangles = args[0]
+            from_args = True
+        if triangles is not None:
+            try:
+                triangles = np.asarray(triangles, dtype=np.int32)
+            except ValueError:
+                triangles = None
+        if triangles is not None and (triangles.ndim != 2 or
+                                      triangles.shape[1] != 3):
+            triangles = None
+        if triangles is not None and from_args:
+            args = args[1:]  # Consumed first item in args.
+        # Check for mask in kwargs.
+        mask = kwargs.pop('mask', None)
+        return x, y, triangles, mask, args, kwargs
+
+    def get_trifinder(self):
+        """
+        Return the default `matplotlib.tri.TriFinder` of this
+        triangulation, creating it if necessary.  This allows the same
+        TriFinder object to be easily shared.
+        """
+        if self._trifinder is None:
+            # Default TriFinder class.
+            from matplotlib.tri._trifinder import TrapezoidMapTriFinder
+            self._trifinder = TrapezoidMapTriFinder(self)
+        return self._trifinder
+
+    @property
+    def neighbors(self):
+        """
+        Return integer array of shape (ntri, 3) containing neighbor triangles.
+
+        For each triangle, the indices of the three triangles that
+        share the same edges, or -1 if there is no such neighboring
+        triangle.  ``neighbors[i, j]`` is the triangle that is the neighbor
+        to the edge from point index ``triangles[i, j]`` to point index
+        ``triangles[i, (j+1)%3]``.
+        """
+        if self._neighbors is None:
+            self._neighbors = self.get_cpp_triangulation().get_neighbors()
+        return self._neighbors
+
+    def set_mask(self, mask):
+        """
+        Set or clear the mask array.
+
+        Parameters
+        ----------
+        mask : None or bool array of length ntri
+        """
+        if mask is None:
+            self.mask = None
+        else:
+            self.mask = np.asarray(mask, dtype=bool)
+            if self.mask.shape != (self.triangles.shape[0],):
+                raise ValueError('mask array must have same length as '
+                                 'triangles array')
+
+        # Set mask in C++ Triangulation.
+        if self._cpp_triangulation is not None:
+            self._cpp_triangulation.set_mask(
+                self.mask if self.mask is not None else ())
+
+        # Clear derived fields so they are recalculated when needed.
+        self._edges = None
+        self._neighbors = None
+
+        # Recalculate TriFinder if it exists.
+        if self._trifinder is not None:
+            self._trifinder._initialize()
diff --git a/lib/matplotlib/tri/_triangulation.pyi b/lib/matplotlib/tri/_triangulation.pyi
new file mode 100644
index 000000000000..6e00b272eda9
--- /dev/null
+++ b/lib/matplotlib/tri/_triangulation.pyi
@@ -0,0 +1,33 @@
+from matplotlib import _tri
+from matplotlib.tri._trifinder import TriFinder
+
+import numpy as np
+from numpy.typing import ArrayLike
+from typing import Any
+
+class Triangulation:
+    x: np.ndarray
+    y: np.ndarray
+    mask: np.ndarray | None
+    is_delaunay: bool
+    triangles: np.ndarray
+    def __init__(
+        self,
+        x: ArrayLike,
+        y: ArrayLike,
+        triangles: ArrayLike | None = ...,
+        mask: ArrayLike | None = ...,
+    ) -> None: ...
+    def calculate_plane_coefficients(self, z: ArrayLike) -> np.ndarray: ...
+    @property
+    def edges(self) -> np.ndarray: ...
+    def get_cpp_triangulation(self) -> _tri.Triangulation: ...
+    def get_masked_triangles(self) -> np.ndarray: ...
+    @staticmethod
+    def get_from_args_and_kwargs(
+        *args, **kwargs
+    ) -> tuple[Triangulation, tuple[Any, ...], dict[str, Any]]: ...
+    def get_trifinder(self) -> TriFinder: ...
+    @property
+    def neighbors(self) -> np.ndarray: ...
+    def set_mask(self, mask: None | ArrayLike) -> None: ...
diff --git a/lib/matplotlib/tri/_tricontour.py b/lib/matplotlib/tri/_tricontour.py
new file mode 100644
index 000000000000..8250515f3ef8
--- /dev/null
+++ b/lib/matplotlib/tri/_tricontour.py
@@ -0,0 +1,270 @@
+import numpy as np
+
+from matplotlib import _docstring
+from matplotlib.contour import ContourSet
+from matplotlib.tri._triangulation import Triangulation
+
+
+@_docstring.interpd
+class TriContourSet(ContourSet):
+    """
+    Create and store a set of contour lines or filled regions for
+    a triangular grid.
+
+    This class is typically not instantiated directly by the user but by
+    `~.Axes.tricontour` and `~.Axes.tricontourf`.
+
+    %(contour_set_attributes)s
+    """
+    def __init__(self, ax, *args, **kwargs):
+        """
+        Draw triangular grid contour lines or filled regions,
+        depending on whether keyword arg *filled* is False
+        (default) or True.
+
+        The first argument of the initializer must be an `~.axes.Axes`
+        object.  The remaining arguments and keyword arguments
+        are described in the docstring of `~.Axes.tricontour`.
+        """
+        super().__init__(ax, *args, **kwargs)
+
+    def _process_args(self, *args, **kwargs):
+        """
+        Process args and kwargs.
+        """
+        if isinstance(args[0], TriContourSet):
+            C = args[0]._contour_generator
+            if self.levels is None:
+                self.levels = args[0].levels
+            self.zmin = args[0].zmin
+            self.zmax = args[0].zmax
+            self._mins = args[0]._mins
+            self._maxs = args[0]._maxs
+        else:
+            from matplotlib import _tri
+            tri, z = self._contour_args(args, kwargs)
+            C = _tri.TriContourGenerator(tri.get_cpp_triangulation(), z)
+            self._mins = [tri.x.min(), tri.y.min()]
+            self._maxs = [tri.x.max(), tri.y.max()]
+
+        self._contour_generator = C
+        return kwargs
+
+    def _contour_args(self, args, kwargs):
+        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
+                                                                   **kwargs)
+        z, *args = args
+        z = np.ma.asarray(z)
+        if z.shape != tri.x.shape:
+            raise ValueError('z array must have same length as triangulation x'
+                             ' and y arrays')
+
+        # z values must be finite, only need to check points that are included
+        # in the triangulation.
+        z_check = z[np.unique(tri.get_masked_triangles())]
+        if np.ma.is_masked(z_check):
+            raise ValueError('z must not contain masked points within the '
+                             'triangulation')
+        if not np.isfinite(z_check).all():
+            raise ValueError('z array must not contain non-finite values '
+                             'within the triangulation')
+
+        z = np.ma.masked_invalid(z, copy=False)
+        self.zmax = float(z_check.max())
+        self.zmin = float(z_check.min())
+        if self.logscale and self.zmin <= 0:
+            func = 'contourf' if self.filled else 'contour'
+            raise ValueError(f'Cannot {func} log of negative values.')
+        self._process_contour_level_args(args, z.dtype)
+        return (tri, z)
+
+
+_docstring.interpd.register(_tricontour_doc="""
+Draw contour %%(type)s on an unstructured triangular grid.
+
+Call signatures::
+
+    %%(func)s(triangulation, z, [levels], ...)
+    %%(func)s(x, y, z, [levels], *, [triangles=triangles], [mask=mask], ...)
+
+The triangular grid can be specified either by passing a `.Triangulation`
+object as the first parameter, or by passing the points *x*, *y* and
+optionally the *triangles* and a *mask*. See `.Triangulation` for an
+explanation of these parameters. If neither of *triangulation* or
+*triangles* are given, the triangulation is calculated on the fly.
+
+It is possible to pass *triangles* positionally, i.e.
+``%%(func)s(x, y, triangles, z, ...)``. However, this is discouraged. For more
+clarity, pass *triangles* via keyword argument.
+
+Parameters
+----------
+triangulation : `.Triangulation`, optional
+    An already created triangular grid.
+
+x, y, triangles, mask
+    Parameters defining the triangular grid. See `.Triangulation`.
+    This is mutually exclusive with specifying *triangulation*.
+
+z : array-like
+    The height values over which the contour is drawn.  Color-mapping is
+    controlled by *cmap*, *norm*, *vmin*, and *vmax*.
+
+    .. note::
+        All values in *z* must be finite. Hence, nan and inf values must
+        either be removed or `~.Triangulation.set_mask` be used.
+
+levels : int or array-like, optional
+    Determines the number and positions of the contour lines / regions.
+
+    If an int *n*, use `~matplotlib.ticker.MaxNLocator`, which tries to
+    automatically choose no more than *n+1* "nice" contour levels between
+    between minimum and maximum numeric values of *Z*.
+
+    If array-like, draw contour lines at the specified levels.  The values must
+    be in increasing order.
+
+Returns
+-------
+`~matplotlib.tri.TriContourSet`
+
+Other Parameters
+----------------
+colors : :mpltype:`color` or list of :mpltype:`color`, optional
+    The colors of the levels, i.e., the contour %%(type)s.
+
+    The sequence is cycled for the levels in ascending order. If the sequence
+    is shorter than the number of levels, it is repeated.
+
+    As a shortcut, single color strings may be used in place of one-element
+    lists, i.e. ``'red'`` instead of ``['red']`` to color all levels with the
+    same color. This shortcut does only work for color strings, not for other
+    ways of specifying colors.
+
+    By default (value *None*), the colormap specified by *cmap* will be used.
+
+alpha : float, default: 1
+    The alpha blending value, between 0 (transparent) and 1 (opaque).
+
+%(cmap_doc)s
+
+    This parameter is ignored if *colors* is set.
+
+%(norm_doc)s
+
+    This parameter is ignored if *colors* is set.
+
+%(vmin_vmax_doc)s
+
+    If *vmin* or *vmax* are not given, the default color scaling is based on
+    *levels*.
+
+    This parameter is ignored if *colors* is set.
+
+origin : {*None*, 'upper', 'lower', 'image'}, default: None
+    Determines the orientation and exact position of *z* by specifying the
+    position of ``z[0, 0]``.  This is only relevant, if *X*, *Y* are not given.
+
+    - *None*: ``z[0, 0]`` is at X=0, Y=0 in the lower left corner.
+    - 'lower': ``z[0, 0]`` is at X=0.5, Y=0.5 in the lower left corner.
+    - 'upper': ``z[0, 0]`` is at X=N+0.5, Y=0.5 in the upper left corner.
+    - 'image': Use the value from :rc:`image.origin`.
+
+extent : (x0, x1, y0, y1), optional
+    If *origin* is not *None*, then *extent* is interpreted as in `.imshow`: it
+    gives the outer pixel boundaries. In this case, the position of z[0, 0] is
+    the center of the pixel, not a corner. If *origin* is *None*, then
+    (*x0*, *y0*) is the position of z[0, 0], and (*x1*, *y1*) is the position
+    of z[-1, -1].
+
+    This argument is ignored if *X* and *Y* are specified in the call to
+    contour.
+
+locator : ticker.Locator subclass, optional
+    The locator is used to determine the contour levels if they are not given
+    explicitly via *levels*.
+    Defaults to `~.ticker.MaxNLocator`.
+
+extend : {'neither', 'both', 'min', 'max'}, default: 'neither'
+    Determines the ``%%(func)s``-coloring of values that are outside the
+    *levels* range.
+
+    If 'neither', values outside the *levels* range are not colored.  If 'min',
+    'max' or 'both', color the values below, above or below and above the
+    *levels* range.
+
+    Values below ``min(levels)`` and above ``max(levels)`` are mapped to the
+    under/over values of the `.Colormap`. Note that most colormaps do not have
+    dedicated colors for these by default, so that the over and under values
+    are the edge values of the colormap.  You may want to set these values
+    explicitly using `.Colormap.set_under` and `.Colormap.set_over`.
+
+    .. note::
+
+        An existing `.TriContourSet` does not get notified if properties of its
+        colormap are changed. Therefore, an explicit call to
+        `.ContourSet.changed()` is needed after modifying the colormap. The
+        explicit call can be left out, if a colorbar is assigned to the
+        `.TriContourSet` because it internally calls `.ContourSet.changed()`.
+
+xunits, yunits : registered units, optional
+    Override axis units by specifying an instance of a
+    :class:`matplotlib.units.ConversionInterface`.
+
+antialiased : bool, optional
+    Enable antialiasing, overriding the defaults.  For
+    filled contours, the default is *True*.  For line contours,
+    it is taken from :rc:`lines.antialiased`.""" % _docstring.interpd.params)
+
+
+@_docstring.Substitution(func='tricontour', type='lines')
+@_docstring.interpd
+def tricontour(ax, *args, **kwargs):
+    """
+    %(_tricontour_doc)s
+
+    linewidths : float or array-like, default: :rc:`contour.linewidth`
+        The line width of the contour lines.
+
+        If a number, all levels will be plotted with this linewidth.
+
+        If a sequence, the levels in ascending order will be plotted with
+        the linewidths in the order specified.
+
+        If None, this falls back to :rc:`lines.linewidth`.
+
+    linestyles : {*None*, 'solid', 'dashed', 'dashdot', 'dotted'}, optional
+        If *linestyles* is *None*, the default is 'solid' unless the lines are
+        monochrome.  In that case, negative contours will take their linestyle
+        from :rc:`contour.negative_linestyle` setting.
+
+        *linestyles* can also be an iterable of the above strings specifying a
+        set of linestyles to be used. If this iterable is shorter than the
+        number of contour levels it will be repeated as necessary.
+    """
+    kwargs['filled'] = False
+    return TriContourSet(ax, *args, **kwargs)
+
+
+@_docstring.Substitution(func='tricontourf', type='regions')
+@_docstring.interpd
+def tricontourf(ax, *args, **kwargs):
+    """
+    %(_tricontour_doc)s
+
+    hatches : list[str], optional
+        A list of crosshatch patterns to use on the filled areas.
+        If None, no hatching will be added to the contour.
+
+    Notes
+    -----
+    `.tricontourf` fills intervals that are closed at the top; that is, for
+    boundaries *z1* and *z2*, the filled region is::
+
+        z1 < Z <= z2
+
+    except for the lowest interval, which is closed on both sides (i.e. it
+    includes the lowest value).
+    """
+    kwargs['filled'] = True
+    return TriContourSet(ax, *args, **kwargs)
diff --git a/lib/matplotlib/tri/_tricontour.pyi b/lib/matplotlib/tri/_tricontour.pyi
new file mode 100644
index 000000000000..31929d866156
--- /dev/null
+++ b/lib/matplotlib/tri/_tricontour.pyi
@@ -0,0 +1,52 @@
+from matplotlib.axes import Axes
+from matplotlib.contour import ContourSet
+from matplotlib.tri._triangulation import Triangulation
+
+from numpy.typing import ArrayLike
+from typing import overload
+
+# TODO: more explicit args/kwargs (for all things in this module)?
+
+class TriContourSet(ContourSet):
+    def __init__(self, ax: Axes, *args, **kwargs) -> None: ...
+
+@overload
+def tricontour(
+    ax: Axes,
+    triangulation: Triangulation,
+    z: ArrayLike,
+    levels: int | ArrayLike = ...,
+    **kwargs
+) -> TriContourSet: ...
+@overload
+def tricontour(
+    ax: Axes,
+    x: ArrayLike,
+    y: ArrayLike,
+    z: ArrayLike,
+    levels: int | ArrayLike = ...,
+    *,
+    triangles: ArrayLike = ...,
+    mask: ArrayLike = ...,
+    **kwargs
+) -> TriContourSet: ...
+@overload
+def tricontourf(
+    ax: Axes,
+    triangulation: Triangulation,
+    z: ArrayLike,
+    levels: int | ArrayLike = ...,
+    **kwargs
+) -> TriContourSet: ...
+@overload
+def tricontourf(
+    ax: Axes,
+    x: ArrayLike,
+    y: ArrayLike,
+    z: ArrayLike,
+    levels: int | ArrayLike = ...,
+    *,
+    triangles: ArrayLike = ...,
+    mask: ArrayLike = ...,
+    **kwargs
+) -> TriContourSet: ...
diff --git a/lib/matplotlib/tri/_trifinder.py b/lib/matplotlib/tri/_trifinder.py
new file mode 100644
index 000000000000..852f3d9eebcc
--- /dev/null
+++ b/lib/matplotlib/tri/_trifinder.py
@@ -0,0 +1,96 @@
+import numpy as np
+
+from matplotlib import _api
+from matplotlib.tri import Triangulation
+
+
+class TriFinder:
+    """
+    Abstract base class for classes used to find the triangles of a
+    Triangulation in which (x, y) points lie.
+
+    Rather than instantiate an object of a class derived from TriFinder, it is
+    usually better to use the function `.Triangulation.get_trifinder`.
+
+    Derived classes implement __call__(x, y) where x and y are array-like point
+    coordinates of the same shape.
+    """
+
+    def __init__(self, triangulation):
+        _api.check_isinstance(Triangulation, triangulation=triangulation)
+        self._triangulation = triangulation
+
+    def __call__(self, x, y):
+        raise NotImplementedError
+
+
+class TrapezoidMapTriFinder(TriFinder):
+    """
+    `~matplotlib.tri.TriFinder` class implemented using the trapezoid
+    map algorithm from the book "Computational Geometry, Algorithms and
+    Applications", second edition, by M. de Berg, M. van Kreveld, M. Overmars
+    and O. Schwarzkopf.
+
+    The triangulation must be valid, i.e. it must not have duplicate points,
+    triangles formed from colinear points, or overlapping triangles.  The
+    algorithm has some tolerance to triangles formed from colinear points, but
+    this should not be relied upon.
+    """
+
+    def __init__(self, triangulation):
+        from matplotlib import _tri
+        super().__init__(triangulation)
+        self._cpp_trifinder = _tri.TrapezoidMapTriFinder(
+            triangulation.get_cpp_triangulation())
+        self._initialize()
+
+    def __call__(self, x, y):
+        """
+        Return an array containing the indices of the triangles in which the
+        specified *x*, *y* points lie, or -1 for points that do not lie within
+        a triangle.
+
+        *x*, *y* are array-like x and y coordinates of the same shape and any
+        number of dimensions.
+
+        Returns integer array with the same shape and *x* and *y*.
+        """
+        x = np.asarray(x, dtype=np.float64)
+        y = np.asarray(y, dtype=np.float64)
+        if x.shape != y.shape:
+            raise ValueError("x and y must be array-like with the same shape")
+
+        # C++ does the heavy lifting, and expects 1D arrays.
+        indices = (self._cpp_trifinder.find_many(x.ravel(), y.ravel())
+                   .reshape(x.shape))
+        return indices
+
+    def _get_tree_stats(self):
+        """
+        Return a python list containing the statistics about the node tree:
+            0: number of nodes (tree size)
+            1: number of unique nodes
+            2: number of trapezoids (tree leaf nodes)
+            3: number of unique trapezoids
+            4: maximum parent count (max number of times a node is repeated in
+                   tree)
+            5: maximum depth of tree (one more than the maximum number of
+                   comparisons needed to search through the tree)
+            6: mean of all trapezoid depths (one more than the average number
+                   of comparisons needed to search through the tree)
+        """
+        return self._cpp_trifinder.get_tree_stats()
+
+    def _initialize(self):
+        """
+        Initialize the underlying C++ object.  Can be called multiple times if,
+        for example, the triangulation is modified.
+        """
+        self._cpp_trifinder.initialize()
+
+    def _print_tree(self):
+        """
+        Print a text representation of the node tree, which is useful for
+        debugging purposes.
+        """
+        self._cpp_trifinder.print_tree()
diff --git a/lib/matplotlib/tri/_trifinder.pyi b/lib/matplotlib/tri/_trifinder.pyi
new file mode 100644
index 000000000000..41a9990b8988
--- /dev/null
+++ b/lib/matplotlib/tri/_trifinder.pyi
@@ -0,0 +1,10 @@
+from matplotlib.tri import Triangulation
+from numpy.typing import ArrayLike
+
+class TriFinder:
+    def __init__(self, triangulation: Triangulation) -> None: ...
+    def __call__(self, x: ArrayLike, y: ArrayLike) -> ArrayLike: ...
+
+class TrapezoidMapTriFinder(TriFinder):
+    def __init__(self, triangulation: Triangulation) -> None: ...
+    def __call__(self, x: ArrayLike, y: ArrayLike) -> ArrayLike: ...
diff --git a/lib/matplotlib/tri/_triinterpolate.py b/lib/matplotlib/tri/_triinterpolate.py
new file mode 100644
index 000000000000..90ad6cf3a76c
--- /dev/null
+++ b/lib/matplotlib/tri/_triinterpolate.py
@@ -0,0 +1,1574 @@
+"""
+Interpolation inside triangular grids.
+"""
+
+import numpy as np
+
+from matplotlib import _api
+from matplotlib.tri import Triangulation
+from matplotlib.tri._trifinder import TriFinder
+from matplotlib.tri._tritools import TriAnalyzer
+
+__all__ = ('TriInterpolator', 'LinearTriInterpolator', 'CubicTriInterpolator')
+
+
+class TriInterpolator:
+    """
+    Abstract base class for classes used to interpolate on a triangular grid.
+
+    Derived classes implement the following methods:
+
+    - ``__call__(x, y)``,
+      where x, y are array-like point coordinates of the same shape, and
+      that returns a masked array of the same shape containing the
+      interpolated z-values.
+
+    - ``gradient(x, y)``,
+      where x, y are array-like point coordinates of the same
+      shape, and that returns a list of 2 masked arrays of the same shape
+      containing the 2 derivatives of the interpolator (derivatives of
+      interpolated z values with respect to x and y).
+    """
+
+    def __init__(self, triangulation, z, trifinder=None):
+        _api.check_isinstance(Triangulation, triangulation=triangulation)
+        self._triangulation = triangulation
+
+        self._z = np.asarray(z)
+        if self._z.shape != self._triangulation.x.shape:
+            raise ValueError("z array must have same length as triangulation x"
+                             " and y arrays")
+
+        _api.check_isinstance((TriFinder, None), trifinder=trifinder)
+        self._trifinder = trifinder or self._triangulation.get_trifinder()
+
+        # Default scaling factors : 1.0 (= no scaling)
+        # Scaling may be used for interpolations for which the order of
+        # magnitude of x, y has an impact on the interpolant definition.
+        # Please refer to :meth:`_interpolate_multikeys` for details.
+        self._unit_x = 1.0
+        self._unit_y = 1.0
+
+        # Default triangle renumbering: None (= no renumbering)
+        # Renumbering may be used to avoid unnecessary computations
+        # if complex calculations are done inside the Interpolator.
+        # Please refer to :meth:`_interpolate_multikeys` for details.
+        self._tri_renum = None
+
+    # __call__ and gradient docstrings are shared by all subclasses
+    # (except, if needed, relevant additions).
+    # However these methods are only implemented in subclasses to avoid
+    # confusion in the documentation.
+    _docstring__call__ = """
+        Returns a masked array containing interpolated values at the specified
+        (x, y) points.
+
+        Parameters
+        ----------
+        x, y : array-like
+            x and y coordinates of the same shape and any number of
+            dimensions.
+
+        Returns
+        -------
+        np.ma.array
+            Masked array of the same shape as *x* and *y*; values corresponding
+            to (*x*, *y*) points outside of the triangulation are masked out.
+
+        """
+
+    _docstringgradient = r"""
+        Returns a list of 2 masked arrays containing interpolated derivatives
+        at the specified (x, y) points.
+
+        Parameters
+        ----------
+        x, y : array-like
+            x and y coordinates of the same shape and any number of
+            dimensions.
+
+        Returns
+        -------
+        dzdx, dzdy : np.ma.array
+            2 masked arrays of the same shape as *x* and *y*; values
+            corresponding to (x, y) points outside of the triangulation
+            are masked out.
+            The first returned array contains the values of
+            :math:`\frac{\partial z}{\partial x}` and the second those of
+            :math:`\frac{\partial z}{\partial y}`.
+
+        """
+
+    def _interpolate_multikeys(self, x, y, tri_index=None,
+                               return_keys=('z',)):
+        """
+        Versatile (private) method defined for all TriInterpolators.
+
+        :meth:`_interpolate_multikeys` is a wrapper around method
+        :meth:`_interpolate_single_key` (to be defined in the child
+        subclasses).
+        :meth:`_interpolate_single_key actually performs the interpolation,
+        but only for 1-dimensional inputs and at valid locations (inside
+        unmasked triangles of the triangulation).
+
+        The purpose of :meth:`_interpolate_multikeys` is to implement the
+        following common tasks needed in all subclasses implementations:
+
+        - calculation of containing triangles
+        - dealing with more than one interpolation request at the same
+          location (e.g., if the 2 derivatives are requested, it is
+          unnecessary to compute the containing triangles twice)
+        - scaling according to self._unit_x, self._unit_y
+        - dealing with points outside of the grid (with fill value np.nan)
+        - dealing with multi-dimensional *x*, *y* arrays: flattening for
+          :meth:`_interpolate_params` call and final reshaping.
+
+        (Note that np.vectorize could do most of those things very well for
+        you, but it does it by function evaluations over successive tuples of
+        the input arrays. Therefore, this tends to be more time-consuming than
+        using optimized numpy functions - e.g., np.dot - which can be used
+        easily on the flattened inputs, in the child-subclass methods
+        :meth:`_interpolate_single_key`.)
+
+        It is guaranteed that the calls to :meth:`_interpolate_single_key`
+        will be done with flattened (1-d) array-like input parameters *x*, *y*
+        and with flattened, valid `tri_index` arrays (no -1 index allowed).
+
+        Parameters
+        ----------
+        x, y : array-like
+            x and y coordinates where interpolated values are requested.
+        tri_index : array-like of int, optional
+            Array of the containing triangle indices, same shape as
+            *x* and *y*. Defaults to None. If None, these indices
+            will be computed by a TriFinder instance.
+            (Note: For point outside the grid, tri_index[ipt] shall be -1).
+        return_keys : tuple of keys from {'z', 'dzdx', 'dzdy'}
+            Defines the interpolation arrays to return, and in which order.
+
+        Returns
+        -------
+        list of arrays
+            Each array-like contains the expected interpolated values in the
+            order defined by *return_keys* parameter.
+        """
+        # Flattening and rescaling inputs arrays x, y
+        # (initial shape is stored for output)
+        x = np.asarray(x, dtype=np.float64)
+        y = np.asarray(y, dtype=np.float64)
+        sh_ret = x.shape
+        if x.shape != y.shape:
+            raise ValueError("x and y shall have same shapes."
+                             f" Given: {x.shape} and {y.shape}")
+        x = np.ravel(x)
+        y = np.ravel(y)
+        x_scaled = x/self._unit_x
+        y_scaled = y/self._unit_y
+        size_ret = np.size(x_scaled)
+
+        # Computes & ravels the element indexes, extract the valid ones.
+        if tri_index is None:
+            tri_index = self._trifinder(x, y)
+        else:
+            if tri_index.shape != sh_ret:
+                raise ValueError(
+                    "tri_index array is provided and shall"
+                    " have same shape as x and y. Given: "
+                    f"{tri_index.shape} and {sh_ret}")
+            tri_index = np.ravel(tri_index)
+
+        mask_in = (tri_index != -1)
+        if self._tri_renum is None:
+            valid_tri_index = tri_index[mask_in]
+        else:
+            valid_tri_index = self._tri_renum[tri_index[mask_in]]
+        valid_x = x_scaled[mask_in]
+        valid_y = y_scaled[mask_in]
+
+        ret = []
+        for return_key in return_keys:
+            # Find the return index associated with the key.
+            try:
+                return_index = {'z': 0, 'dzdx': 1, 'dzdy': 2}[return_key]
+            except KeyError as err:
+                raise ValueError("return_keys items shall take values in"
+                                 " {'z', 'dzdx', 'dzdy'}") from err
+
+            # Sets the scale factor for f & df components
+            scale = [1., 1./self._unit_x, 1./self._unit_y][return_index]
+
+            # Computes the interpolation
+            ret_loc = np.empty(size_ret, dtype=np.float64)
+            ret_loc[~mask_in] = np.nan
+            ret_loc[mask_in] = self._interpolate_single_key(
+                return_key, valid_tri_index, valid_x, valid_y) * scale
+            ret += [np.ma.masked_invalid(ret_loc.reshape(sh_ret), copy=False)]
+
+        return ret
+
+    def _interpolate_single_key(self, return_key, tri_index, x, y):
+        """
+        Interpolate at points belonging to the triangulation
+        (inside an unmasked triangles).
+
+        Parameters
+        ----------
+        return_key : {'z', 'dzdx', 'dzdy'}
+            The requested values (z or its derivatives).
+        tri_index : 1D int array
+            Valid triangle index (cannot be -1).
+        x, y : 1D arrays, same shape as `tri_index`
+            Valid locations where interpolation is requested.
+
+        Returns
+        -------
+        1-d array
+            Returned array of the same size as *tri_index*
+        """
+        raise NotImplementedError("TriInterpolator subclasses" +
+                                  "should implement _interpolate_single_key!")
+
+
+class LinearTriInterpolator(TriInterpolator):
+    """
+    Linear interpolator on a triangular grid.
+
+    Each triangle is represented by a plane so that an interpolated value at
+    point (x, y) lies on the plane of the triangle containing (x, y).
+    Interpolated values are therefore continuous across the triangulation, but
+    their first derivatives are discontinuous at edges between triangles.
+
+    Parameters
+    ----------
+    triangulation : `~matplotlib.tri.Triangulation`
+        The triangulation to interpolate over.
+    z : (npoints,) array-like
+        Array of values, defined at grid points, to interpolate between.
+    trifinder : `~matplotlib.tri.TriFinder`, optional
+        If this is not specified, the Triangulation's default TriFinder will
+        be used by calling `.Triangulation.get_trifinder`.
+
+    Methods
+    -------
+    `__call__` (x, y) : Returns interpolated values at (x, y) points.
+    `gradient` (x, y) : Returns interpolated derivatives at (x, y) points.
+
+    """
+    def __init__(self, triangulation, z, trifinder=None):
+        super().__init__(triangulation, z, trifinder)
+
+        # Store plane coefficients for fast interpolation calculations.
+        self._plane_coefficients = \
+            self._triangulation.calculate_plane_coefficients(self._z)
+
+    def __call__(self, x, y):
+        return self._interpolate_multikeys(x, y, tri_index=None,
+                                           return_keys=('z',))[0]
+    __call__.__doc__ = TriInterpolator._docstring__call__
+
+    def gradient(self, x, y):
+        return self._interpolate_multikeys(x, y, tri_index=None,
+                                           return_keys=('dzdx', 'dzdy'))
+    gradient.__doc__ = TriInterpolator._docstringgradient
+
+    def _interpolate_single_key(self, return_key, tri_index, x, y):
+        _api.check_in_list(['z', 'dzdx', 'dzdy'], return_key=return_key)
+        if return_key == 'z':
+            return (self._plane_coefficients[tri_index, 0]*x +
+                    self._plane_coefficients[tri_index, 1]*y +
+                    self._plane_coefficients[tri_index, 2])
+        elif return_key == 'dzdx':
+            return self._plane_coefficients[tri_index, 0]
+        else:  # 'dzdy'
+            return self._plane_coefficients[tri_index, 1]
+
+
+class CubicTriInterpolator(TriInterpolator):
+    r"""
+    Cubic interpolator on a triangular grid.
+
+    In one-dimension - on a segment - a cubic interpolating function is
+    defined by the values of the function and its derivative at both ends.
+    This is almost the same in 2D inside a triangle, except that the values
+    of the function and its 2 derivatives have to be defined at each triangle
+    node.
+
+    The CubicTriInterpolator takes the value of the function at each node -
+    provided by the user - and internally computes the value of the
+    derivatives, resulting in a smooth interpolation.
+    (As a special feature, the user can also impose the value of the
+    derivatives at each node, but this is not supposed to be the common
+    usage.)
+
+    Parameters
+    ----------
+    triangulation : `~matplotlib.tri.Triangulation`
+        The triangulation to interpolate over.
+    z : (npoints,) array-like
+        Array of values, defined at grid points, to interpolate between.
+    kind : {'min_E', 'geom', 'user'}, optional
+        Choice of the smoothing algorithm, in order to compute
+        the interpolant derivatives (defaults to 'min_E'):
+
+        - if 'min_E': (default) The derivatives at each node is computed
+          to minimize a bending energy.
+        - if 'geom': The derivatives at each node is computed as a
+          weighted average of relevant triangle normals. To be used for
+          speed optimization (large grids).
+        - if 'user': The user provides the argument *dz*, no computation
+          is hence needed.
+
+    trifinder : `~matplotlib.tri.TriFinder`, optional
+        If not specified, the Triangulation's default TriFinder will
+        be used by calling `.Triangulation.get_trifinder`.
+    dz : tuple of array-likes (dzdx, dzdy), optional
+        Used only if  *kind* ='user'. In this case *dz* must be provided as
+        (dzdx, dzdy) where dzdx, dzdy are arrays of the same shape as *z* and
+        are the interpolant first derivatives at the *triangulation* points.
+
+    Methods
+    -------
+    `__call__` (x, y) : Returns interpolated values at (x, y) points.
+    `gradient` (x, y) : Returns interpolated derivatives at (x, y) points.
+
+    Notes
+    -----
+    This note is a bit technical and details how the cubic interpolation is
+    computed.
+
+    The interpolation is based on a Clough-Tocher subdivision scheme of
+    the *triangulation* mesh (to make it clearer, each triangle of the
+    grid will be divided in 3 child-triangles, and on each child triangle
+    the interpolated function is a cubic polynomial of the 2 coordinates).
+    This technique originates from FEM (Finite Element Method) analysis;
+    the element used is a reduced Hsieh-Clough-Tocher (HCT)
+    element. Its shape functions are described in [1]_.
+    The assembled function is guaranteed to be C1-smooth, i.e. it is
+    continuous and its first derivatives are also continuous (this
+    is easy to show inside the triangles but is also true when crossing the
+    edges).
+
+    In the default case (*kind* ='min_E'), the interpolant minimizes a
+    curvature energy on the functional space generated by the HCT element
+    shape functions - with imposed values but arbitrary derivatives at each
+    node. The minimized functional is the integral of the so-called total
+    curvature (implementation based on an algorithm from [2]_ - PCG sparse
+    solver):
+
+    .. math::
+
+        E(z) = \frac{1}{2} \int_{\Omega} \left(
+            \left( \frac{\partial^2{z}}{\partial{x}^2} \right)^2 +
+            \left( \frac{\partial^2{z}}{\partial{y}^2} \right)^2 +
+            2\left( \frac{\partial^2{z}}{\partial{y}\partial{x}} \right)^2
+        \right) dx\,dy
+
+    If the case *kind* ='geom' is chosen by the user, a simple geometric
+    approximation is used (weighted average of the triangle normal
+    vectors), which could improve speed on very large grids.
+
+    References
+    ----------
+    .. [1] Michel Bernadou, Kamal Hassan, "Basis functions for general
+        Hsieh-Clough-Tocher triangles, complete or reduced.",
+        International Journal for Numerical Methods in Engineering,
+        17(5):784 - 789. 2.01.
+    .. [2] C.T. Kelley, "Iterative Methods for Optimization".
+
+    """
+    def __init__(self, triangulation, z, kind='min_E', trifinder=None,
+                 dz=None):
+        super().__init__(triangulation, z, trifinder)
+
+        # Loads the underlying c++ _triangulation.
+        # (During loading, reordering of triangulation._triangles may occur so
+        # that all final triangles are now anti-clockwise)
+        self._triangulation.get_cpp_triangulation()
+
+        # To build the stiffness matrix and avoid zero-energy spurious modes
+        # we will only store internally the valid (unmasked) triangles and
+        # the necessary (used) points coordinates.
+        # 2 renumbering tables need to be computed and stored:
+        #  - a triangle renum table in order to translate the result from a
+        #    TriFinder instance into the internal stored triangle number.
+        #  - a node renum table to overwrite the self._z values into the new
+        #    (used) node numbering.
+        tri_analyzer = TriAnalyzer(self._triangulation)
+        (compressed_triangles, compressed_x, compressed_y, tri_renum,
+         node_renum) = tri_analyzer._get_compressed_triangulation()
+        self._triangles = compressed_triangles
+        self._tri_renum = tri_renum
+        # Taking into account the node renumbering in self._z:
+        valid_node = (node_renum != -1)
+        self._z[node_renum[valid_node]] = self._z[valid_node]
+
+        # Computing scale factors
+        self._unit_x = np.ptp(compressed_x)
+        self._unit_y = np.ptp(compressed_y)
+        self._pts = np.column_stack([compressed_x / self._unit_x,
+                                     compressed_y / self._unit_y])
+        # Computing triangle points
+        self._tris_pts = self._pts[self._triangles]
+        # Computing eccentricities
+        self._eccs = self._compute_tri_eccentricities(self._tris_pts)
+        # Computing dof estimations for HCT triangle shape function
+        _api.check_in_list(['user', 'geom', 'min_E'], kind=kind)
+        self._dof = self._compute_dof(kind, dz=dz)
+        # Loading HCT element
+        self._ReferenceElement = _ReducedHCT_Element()
+
+    def __call__(self, x, y):
+        return self._interpolate_multikeys(x, y, tri_index=None,
+                                           return_keys=('z',))[0]
+    __call__.__doc__ = TriInterpolator._docstring__call__
+
+    def gradient(self, x, y):
+        return self._interpolate_multikeys(x, y, tri_index=None,
+                                           return_keys=('dzdx', 'dzdy'))
+    gradient.__doc__ = TriInterpolator._docstringgradient
+
+    def _interpolate_single_key(self, return_key, tri_index, x, y):
+        _api.check_in_list(['z', 'dzdx', 'dzdy'], return_key=return_key)
+        tris_pts = self._tris_pts[tri_index]
+        alpha = self._get_alpha_vec(x, y, tris_pts)
+        ecc = self._eccs[tri_index]
+        dof = np.expand_dims(self._dof[tri_index], axis=1)
+        if return_key == 'z':
+            return self._ReferenceElement.get_function_values(
+                alpha, ecc, dof)
+        else:  # 'dzdx', 'dzdy'
+            J = self._get_jacobian(tris_pts)
+            dzdx = self._ReferenceElement.get_function_derivatives(
+                alpha, J, ecc, dof)
+            if return_key == 'dzdx':
+                return dzdx[:, 0, 0]
+            else:
+                return dzdx[:, 1, 0]
+
+    def _compute_dof(self, kind, dz=None):
+        """
+        Compute and return nodal dofs according to kind.
+
+        Parameters
+        ----------
+        kind : {'min_E', 'geom', 'user'}
+            Choice of the _DOF_estimator subclass to estimate the gradient.
+        dz : tuple of array-likes (dzdx, dzdy), optional
+            Used only if *kind*=user; in this case passed to the
+            :class:`_DOF_estimator_user`.
+
+        Returns
+        -------
+        array-like, shape (npts, 2)
+            Estimation of the gradient at triangulation nodes (stored as
+            degree of freedoms of reduced-HCT triangle elements).
+        """
+        if kind == 'user':
+            if dz is None:
+                raise ValueError("For a CubicTriInterpolator with "
+                                 "*kind*='user', a valid *dz* "
+                                 "argument is expected.")
+            TE = _DOF_estimator_user(self, dz=dz)
+        elif kind == 'geom':
+            TE = _DOF_estimator_geom(self)
+        else:  # 'min_E', checked in __init__
+            TE = _DOF_estimator_min_E(self)
+        return TE.compute_dof_from_df()
+
+    @staticmethod
+    def _get_alpha_vec(x, y, tris_pts):
+        """
+        Fast (vectorized) function to compute barycentric coordinates alpha.
+
+        Parameters
+        ----------
+        x, y : array-like of dim 1 (shape (nx,))
+            Coordinates of the points whose points barycentric coordinates are
+            requested.
+        tris_pts : array like of dim 3 (shape: (nx, 3, 2))
+            Coordinates of the containing triangles apexes.
+
+        Returns
+        -------
+        array of dim 2 (shape (nx, 3))
+            Barycentric coordinates of the points inside the containing
+            triangles.
+        """
+        ndim = tris_pts.ndim-2
+
+        a = tris_pts[:, 1, :] - tris_pts[:, 0, :]
+        b = tris_pts[:, 2, :] - tris_pts[:, 0, :]
+        abT = np.stack([a, b], axis=-1)
+        ab = _transpose_vectorized(abT)
+        OM = np.stack([x, y], axis=1) - tris_pts[:, 0, :]
+
+        metric = ab @ abT
+        # Here we try to deal with the colinear cases.
+        # metric_inv is in this case set to the Moore-Penrose pseudo-inverse
+        # meaning that we will still return a set of valid barycentric
+        # coordinates.
+        metric_inv = _pseudo_inv22sym_vectorized(metric)
+        Covar = ab @ _transpose_vectorized(np.expand_dims(OM, ndim))
+        ksi = metric_inv @ Covar
+        alpha = _to_matrix_vectorized([
+            [1-ksi[:, 0, 0]-ksi[:, 1, 0]], [ksi[:, 0, 0]], [ksi[:, 1, 0]]])
+        return alpha
+
+    @staticmethod
+    def _get_jacobian(tris_pts):
+        """
+        Fast (vectorized) function to compute triangle jacobian matrix.
+
+        Parameters
+        ----------
+        tris_pts : array like of dim 3 (shape: (nx, 3, 2))
+            Coordinates of the containing triangles apexes.
+
+        Returns
+        -------
+        array of dim 3 (shape (nx, 2, 2))
+            Barycentric coordinates of the points inside the containing
+            triangles.
+            J[itri, :, :] is the jacobian matrix at apex 0 of the triangle
+            itri, so that the following (matrix) relationship holds:
+               [dz/dksi] = [J] x [dz/dx]
+            with x: global coordinates
+                 ksi: element parametric coordinates in triangle first apex
+                 local basis.
+        """
+        a = np.array(tris_pts[:, 1, :] - tris_pts[:, 0, :])
+        b = np.array(tris_pts[:, 2, :] - tris_pts[:, 0, :])
+        J = _to_matrix_vectorized([[a[:, 0], a[:, 1]],
+                                   [b[:, 0], b[:, 1]]])
+        return J
+
+    @staticmethod
+    def _compute_tri_eccentricities(tris_pts):
+        """
+        Compute triangle eccentricities.
+
+        Parameters
+        ----------
+        tris_pts : array like of dim 3 (shape: (nx, 3, 2))
+            Coordinates of the triangles apexes.
+
+        Returns
+        -------
+        array like of dim 2 (shape: (nx, 3))
+            The so-called eccentricity parameters [1] needed for HCT triangular
+            element.
+        """
+        a = np.expand_dims(tris_pts[:, 2, :] - tris_pts[:, 1, :], axis=2)
+        b = np.expand_dims(tris_pts[:, 0, :] - tris_pts[:, 2, :], axis=2)
+        c = np.expand_dims(tris_pts[:, 1, :] - tris_pts[:, 0, :], axis=2)
+        # Do not use np.squeeze, this is dangerous if only one triangle
+        # in the triangulation...
+        dot_a = (_transpose_vectorized(a) @ a)[:, 0, 0]
+        dot_b = (_transpose_vectorized(b) @ b)[:, 0, 0]
+        dot_c = (_transpose_vectorized(c) @ c)[:, 0, 0]
+        # Note that this line will raise a warning for dot_a, dot_b or dot_c
+        # zeros, but we choose not to support triangles with duplicate points.
+        return _to_matrix_vectorized([[(dot_c-dot_b) / dot_a],
+                                      [(dot_a-dot_c) / dot_b],
+                                      [(dot_b-dot_a) / dot_c]])
+
+
+# FEM element used for interpolation and for solving minimisation
+# problem (Reduced HCT element)
+class _ReducedHCT_Element:
+    """
+    Implementation of reduced HCT triangular element with explicit shape
+    functions.
+
+    Computes z, dz, d2z and the element stiffness matrix for bending energy:
+    E(f) = integral( (d2z/dx2 + d2z/dy2)**2 dA)
+
+    *** Reference for the shape functions: ***
+    [1] Basis functions for general Hsieh-Clough-Tocher _triangles, complete or
+        reduced.
+        Michel Bernadou, Kamal Hassan
+        International Journal for Numerical Methods in Engineering.
+        17(5):784 - 789.  2.01
+
+    *** Element description: ***
+    9 dofs: z and dz given at 3 apex
+    C1 (conform)
+
+    """
+    # 1) Loads matrices to generate shape functions as a function of
+    #    triangle eccentricities - based on [1] p.11 '''
+    M = np.array([
+        [ 0.00, 0.00, 0.00,  4.50,  4.50, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [-0.25, 0.00, 0.00,  0.50,  1.25, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [-0.25, 0.00, 0.00,  1.25,  0.50, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.50, 1.00, 0.00, -1.50,  0.00, 3.00, 3.00, 0.00, 0.00, 3.00],
+        [ 0.00, 0.00, 0.00, -0.25,  0.25, 0.00, 1.00, 0.00, 0.00, 0.50],
+        [ 0.25, 0.00, 0.00, -0.50, -0.25, 1.00, 0.00, 0.00, 0.00, 1.00],
+        [ 0.50, 0.00, 1.00,  0.00, -1.50, 0.00, 0.00, 3.00, 3.00, 3.00],
+        [ 0.25, 0.00, 0.00, -0.25, -0.50, 0.00, 0.00, 0.00, 1.00, 1.00],
+        [ 0.00, 0.00, 0.00,  0.25, -0.25, 0.00, 0.00, 1.00, 0.00, 0.50]])
+    M0 = np.array([
+        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
+        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
+        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
+        [-1.00, 0.00, 0.00,  1.50,  1.50, 0.00, 0.00, 0.00, 0.00, -3.00],
+        [-0.50, 0.00, 0.00,  0.75,  0.75, 0.00, 0.00, 0.00, 0.00, -1.50],
+        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
+        [ 1.00, 0.00, 0.00, -1.50, -1.50, 0.00, 0.00, 0.00, 0.00,  3.00],
+        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
+        [ 0.50, 0.00, 0.00, -0.75, -0.75, 0.00, 0.00, 0.00, 0.00,  1.50]])
+    M1 = np.array([
+        [-0.50, 0.00, 0.00,  1.50, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [-0.25, 0.00, 0.00,  0.75, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.50, 0.00, 0.00, -1.50, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.25, 0.00, 0.00, -0.75, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00]])
+    M2 = np.array([
+        [ 0.50, 0.00, 0.00, 0.00, -1.50, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.25, 0.00, 0.00, 0.00, -0.75, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [-0.50, 0.00, 0.00, 0.00,  1.50, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [-0.25, 0.00, 0.00, 0.00,  0.75, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
+        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00]])
+
+    # 2) Loads matrices to rotate components of gradient & Hessian
+    #    vectors in the reference basis of triangle first apex (a0)
+    rotate_dV = np.array([[ 1.,  0.], [ 0.,  1.],
+                          [ 0.,  1.], [-1., -1.],
+                          [-1., -1.], [ 1.,  0.]])
+
+    rotate_d2V = np.array([[1., 0., 0.], [0., 1., 0.], [ 0.,  0.,  1.],
+                           [0., 1., 0.], [1., 1., 1.], [ 0., -2., -1.],
+                           [1., 1., 1.], [1., 0., 0.], [-2.,  0., -1.]])
+
+    # 3) Loads Gauss points & weights on the 3 sub-_triangles for P2
+    #    exact integral - 3 points on each subtriangles.
+    # NOTE: as the 2nd derivative is discontinuous , we really need those 9
+    # points!
+    n_gauss = 9
+    gauss_pts = np.array([[13./18.,  4./18.,  1./18.],
+                          [ 4./18., 13./18.,  1./18.],
+                          [ 7./18.,  7./18.,  4./18.],
+                          [ 1./18., 13./18.,  4./18.],
+                          [ 1./18.,  4./18., 13./18.],
+                          [ 4./18.,  7./18.,  7./18.],
+                          [ 4./18.,  1./18., 13./18.],
+                          [13./18.,  1./18.,  4./18.],
+                          [ 7./18.,  4./18.,  7./18.]], dtype=np.float64)
+    gauss_w = np.ones([9], dtype=np.float64) / 9.
+
+    #  4) Stiffness matrix for curvature energy
+    E = np.array([[1., 0., 0.], [0., 1., 0.], [0., 0., 2.]])
+
+    #  5) Loads the matrix to compute DOF_rot from tri_J at apex 0
+    J0_to_J1 = np.array([[-1.,  1.], [-1.,  0.]])
+    J0_to_J2 = np.array([[ 0., -1.], [ 1., -1.]])
+
+    def get_function_values(self, alpha, ecc, dofs):
+        """
+        Parameters
+        ----------
+        alpha : is a (N x 3 x 1) array (array of column-matrices) of
+        barycentric coordinates,
+        ecc : is a (N x 3 x 1) array (array of column-matrices) of triangle
+        eccentricities,
+        dofs : is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
+        degrees of freedom.
+
+        Returns
+        -------
+        Returns the N-array of interpolated function values.
+        """
+        subtri = np.argmin(alpha, axis=1)[:, 0]
+        ksi = _roll_vectorized(alpha, -subtri, axis=0)
+        E = _roll_vectorized(ecc, -subtri, axis=0)
+        x = ksi[:, 0, 0]
+        y = ksi[:, 1, 0]
+        z = ksi[:, 2, 0]
+        x_sq = x*x
+        y_sq = y*y
+        z_sq = z*z
+        V = _to_matrix_vectorized([
+            [x_sq*x], [y_sq*y], [z_sq*z], [x_sq*z], [x_sq*y], [y_sq*x],
+            [y_sq*z], [z_sq*y], [z_sq*x], [x*y*z]])
+        prod = self.M @ V
+        prod += _scalar_vectorized(E[:, 0, 0], self.M0 @ V)
+        prod += _scalar_vectorized(E[:, 1, 0], self.M1 @ V)
+        prod += _scalar_vectorized(E[:, 2, 0], self.M2 @ V)
+        s = _roll_vectorized(prod, 3*subtri, axis=0)
+        return (dofs @ s)[:, 0, 0]
+
+    def get_function_derivatives(self, alpha, J, ecc, dofs):
+        """
+        Parameters
+        ----------
+        *alpha* is a (N x 3 x 1) array (array of column-matrices of
+        barycentric coordinates)
+        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
+        triangle first apex)
+        *ecc* is a (N x 3 x 1) array (array of column-matrices of triangle
+        eccentricities)
+        *dofs* is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
+        degrees of freedom.
+
+        Returns
+        -------
+        Returns the values of interpolated function derivatives [dz/dx, dz/dy]
+        in global coordinates at locations alpha, as a column-matrices of
+        shape (N x 2 x 1).
+        """
+        subtri = np.argmin(alpha, axis=1)[:, 0]
+        ksi = _roll_vectorized(alpha, -subtri, axis=0)
+        E = _roll_vectorized(ecc, -subtri, axis=0)
+        x = ksi[:, 0, 0]
+        y = ksi[:, 1, 0]
+        z = ksi[:, 2, 0]
+        x_sq = x*x
+        y_sq = y*y
+        z_sq = z*z
+        dV = _to_matrix_vectorized([
+            [    -3.*x_sq,     -3.*x_sq],
+            [     3.*y_sq,           0.],
+            [          0.,      3.*z_sq],
+            [     -2.*x*z, -2.*x*z+x_sq],
+            [-2.*x*y+x_sq,      -2.*x*y],
+            [ 2.*x*y-y_sq,        -y_sq],
+            [      2.*y*z,         y_sq],
+            [        z_sq,       2.*y*z],
+            [       -z_sq,  2.*x*z-z_sq],
+            [     x*z-y*z,      x*y-y*z]])
+        # Puts back dV in first apex basis
+        dV = dV @ _extract_submatrices(
+            self.rotate_dV, subtri, block_size=2, axis=0)
+
+        prod = self.M @ dV
+        prod += _scalar_vectorized(E[:, 0, 0], self.M0 @ dV)
+        prod += _scalar_vectorized(E[:, 1, 0], self.M1 @ dV)
+        prod += _scalar_vectorized(E[:, 2, 0], self.M2 @ dV)
+        dsdksi = _roll_vectorized(prod, 3*subtri, axis=0)
+        dfdksi = dofs @ dsdksi
+        # In global coordinates:
+        # Here we try to deal with the simplest colinear cases, returning a
+        # null matrix.
+        J_inv = _safe_inv22_vectorized(J)
+        dfdx = J_inv @ _transpose_vectorized(dfdksi)
+        return dfdx
+
+    def get_function_hessians(self, alpha, J, ecc, dofs):
+        """
+        Parameters
+        ----------
+        *alpha* is a (N x 3 x 1) array (array of column-matrices) of
+        barycentric coordinates
+        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
+        triangle first apex)
+        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
+        eccentricities
+        *dofs* is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
+        degrees of freedom.
+
+        Returns
+        -------
+        Returns the values of interpolated function 2nd-derivatives
+        [d2z/dx2, d2z/dy2, d2z/dxdy] in global coordinates at locations alpha,
+        as a column-matrices of shape (N x 3 x 1).
+        """
+        d2sdksi2 = self.get_d2Sidksij2(alpha, ecc)
+        d2fdksi2 = dofs @ d2sdksi2
+        H_rot = self.get_Hrot_from_J(J)
+        d2fdx2 = d2fdksi2 @ H_rot
+        return _transpose_vectorized(d2fdx2)
+
+    def get_d2Sidksij2(self, alpha, ecc):
+        """
+        Parameters
+        ----------
+        *alpha* is a (N x 3 x 1) array (array of column-matrices) of
+        barycentric coordinates
+        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
+        eccentricities
+
+        Returns
+        -------
+        Returns the arrays d2sdksi2 (N x 3 x 1) Hessian of shape functions
+        expressed in covariant coordinates in first apex basis.
+        """
+        subtri = np.argmin(alpha, axis=1)[:, 0]
+        ksi = _roll_vectorized(alpha, -subtri, axis=0)
+        E = _roll_vectorized(ecc, -subtri, axis=0)
+        x = ksi[:, 0, 0]
+        y = ksi[:, 1, 0]
+        z = ksi[:, 2, 0]
+        d2V = _to_matrix_vectorized([
+            [     6.*x,      6.*x,      6.*x],
+            [     6.*y,        0.,        0.],
+            [       0.,      6.*z,        0.],
+            [     2.*z, 2.*z-4.*x, 2.*z-2.*x],
+            [2.*y-4.*x,      2.*y, 2.*y-2.*x],
+            [2.*x-4.*y,        0.,     -2.*y],
+            [     2.*z,        0.,      2.*y],
+            [       0.,      2.*y,      2.*z],
+            [       0., 2.*x-4.*z,     -2.*z],
+            [    -2.*z,     -2.*y,     x-y-z]])
+        # Puts back d2V in first apex basis
+        d2V = d2V @ _extract_submatrices(
+            self.rotate_d2V, subtri, block_size=3, axis=0)
+        prod = self.M @ d2V
+        prod += _scalar_vectorized(E[:, 0, 0], self.M0 @ d2V)
+        prod += _scalar_vectorized(E[:, 1, 0], self.M1 @ d2V)
+        prod += _scalar_vectorized(E[:, 2, 0], self.M2 @ d2V)
+        d2sdksi2 = _roll_vectorized(prod, 3*subtri, axis=0)
+        return d2sdksi2
+
+    def get_bending_matrices(self, J, ecc):
+        """
+        Parameters
+        ----------
+        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
+        triangle first apex)
+        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
+        eccentricities
+
+        Returns
+        -------
+        Returns the element K matrices for bending energy expressed in
+        GLOBAL nodal coordinates.
+        K_ij = integral [ (d2zi/dx2 + d2zi/dy2) * (d2zj/dx2 + d2zj/dy2) dA]
+        tri_J is needed to rotate dofs from local basis to global basis
+        """
+        n = np.size(ecc, 0)
+
+        # 1) matrix to rotate dofs in global coordinates
+        J1 = self.J0_to_J1 @ J
+        J2 = self.J0_to_J2 @ J
+        DOF_rot = np.zeros([n, 9, 9], dtype=np.float64)
+        DOF_rot[:, 0, 0] = 1
+        DOF_rot[:, 3, 3] = 1
+        DOF_rot[:, 6, 6] = 1
+        DOF_rot[:, 1:3, 1:3] = J
+        DOF_rot[:, 4:6, 4:6] = J1
+        DOF_rot[:, 7:9, 7:9] = J2
+
+        # 2) matrix to rotate Hessian in global coordinates.
+        H_rot, area = self.get_Hrot_from_J(J, return_area=True)
+
+        # 3) Computes stiffness matrix
+        # Gauss quadrature.
+        K = np.zeros([n, 9, 9], dtype=np.float64)
+        weights = self.gauss_w
+        pts = self.gauss_pts
+        for igauss in range(self.n_gauss):
+            alpha = np.tile(pts[igauss, :], n).reshape(n, 3)
+            alpha = np.expand_dims(alpha, 2)
+            weight = weights[igauss]
+            d2Skdksi2 = self.get_d2Sidksij2(alpha, ecc)
+            d2Skdx2 = d2Skdksi2 @ H_rot
+            K += weight * (d2Skdx2 @ self.E @ _transpose_vectorized(d2Skdx2))
+
+        # 4) With nodal (not elem) dofs
+        K = _transpose_vectorized(DOF_rot) @ K @ DOF_rot
+
+        # 5) Need the area to compute total element energy
+        return _scalar_vectorized(area, K)
+
+    def get_Hrot_from_J(self, J, return_area=False):
+        """
+        Parameters
+        ----------
+        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
+        triangle first apex)
+
+        Returns
+        -------
+        Returns H_rot used to rotate Hessian from local basis of first apex,
+        to global coordinates.
+        if *return_area* is True, returns also the triangle area (0.5*det(J))
+        """
+        # Here we try to deal with the simplest colinear cases; a null
+        # energy and area is imposed.
+        J_inv = _safe_inv22_vectorized(J)
+        Ji00 = J_inv[:, 0, 0]
+        Ji11 = J_inv[:, 1, 1]
+        Ji10 = J_inv[:, 1, 0]
+        Ji01 = J_inv[:, 0, 1]
+        H_rot = _to_matrix_vectorized([
+            [Ji00*Ji00, Ji10*Ji10, Ji00*Ji10],
+            [Ji01*Ji01, Ji11*Ji11, Ji01*Ji11],
+            [2*Ji00*Ji01, 2*Ji11*Ji10, Ji00*Ji11+Ji10*Ji01]])
+        if not return_area:
+            return H_rot
+        else:
+            area = 0.5 * (J[:, 0, 0]*J[:, 1, 1] - J[:, 0, 1]*J[:, 1, 0])
+            return H_rot, area
+
+    def get_Kff_and_Ff(self, J, ecc, triangles, Uc):
+        """
+        Build K and F for the following elliptic formulation:
+        minimization of curvature energy with value of function at node
+        imposed and derivatives 'free'.
+
+        Build the global Kff matrix in cco format.
+        Build the full Ff vec Ff = - Kfc x Uc.
+
+        Parameters
+        ----------
+        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
+        triangle first apex)
+        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
+        eccentricities
+        *triangles* is a (N x 3) array of nodes indexes.
+        *Uc* is (N x 3) array of imposed displacements at nodes
+
+        Returns
+        -------
+        (Kff_rows, Kff_cols, Kff_vals) Kff matrix in coo format - Duplicate
+        (row, col) entries must be summed.
+        Ff: force vector - dim npts * 3
+        """
+        ntri = np.size(ecc, 0)
+        vec_range = np.arange(ntri, dtype=np.int32)
+        c_indices = np.full(ntri, -1, dtype=np.int32)  # for unused dofs, -1
+        f_dof = [1, 2, 4, 5, 7, 8]
+        c_dof = [0, 3, 6]
+
+        # vals, rows and cols indices in global dof numbering
+        f_dof_indices = _to_matrix_vectorized([[
+            c_indices, triangles[:, 0]*2, triangles[:, 0]*2+1,
+            c_indices, triangles[:, 1]*2, triangles[:, 1]*2+1,
+            c_indices, triangles[:, 2]*2, triangles[:, 2]*2+1]])
+
+        expand_indices = np.ones([ntri, 9, 1], dtype=np.int32)
+        f_row_indices = _transpose_vectorized(expand_indices @ f_dof_indices)
+        f_col_indices = expand_indices @ f_dof_indices
+        K_elem = self.get_bending_matrices(J, ecc)
+
+        # Extracting sub-matrices
+        # Explanation & notations:
+        # * Subscript f denotes 'free' degrees of freedom (i.e. dz/dx, dz/dx)
+        # * Subscript c denotes 'condensated' (imposed) degrees of freedom
+        #    (i.e. z at all nodes)
+        # * F = [Ff, Fc] is the force vector
+        # * U = [Uf, Uc] is the imposed dof vector
+        #        [ Kff Kfc ]
+        # * K =  [         ]  is the laplacian stiffness matrix
+        #        [ Kcf Kff ]
+        # * As F = K x U one gets straightforwardly: Ff = - Kfc x Uc
+
+        # Computing Kff stiffness matrix in sparse coo format
+        Kff_vals = np.ravel(K_elem[np.ix_(vec_range, f_dof, f_dof)])
+        Kff_rows = np.ravel(f_row_indices[np.ix_(vec_range, f_dof, f_dof)])
+        Kff_cols = np.ravel(f_col_indices[np.ix_(vec_range, f_dof, f_dof)])
+
+        # Computing Ff force vector in sparse coo format
+        Kfc_elem = K_elem[np.ix_(vec_range, f_dof, c_dof)]
+        Uc_elem = np.expand_dims(Uc, axis=2)
+        Ff_elem = -(Kfc_elem @ Uc_elem)[:, :, 0]
+        Ff_indices = f_dof_indices[np.ix_(vec_range, [0], f_dof)][:, 0, :]
+
+        # Extracting Ff force vector in dense format
+        # We have to sum duplicate indices -  using bincount
+        Ff = np.bincount(np.ravel(Ff_indices), weights=np.ravel(Ff_elem))
+        return Kff_rows, Kff_cols, Kff_vals, Ff
+
+
+# :class:_DOF_estimator, _DOF_estimator_user, _DOF_estimator_geom,
+# _DOF_estimator_min_E
+# Private classes used to compute the degree of freedom of each triangular
+# element for the TriCubicInterpolator.
+class _DOF_estimator:
+    """
+    Abstract base class for classes used to estimate a function's first
+    derivatives, and deduce the dofs for a CubicTriInterpolator using a
+    reduced HCT element formulation.
+
+    Derived classes implement ``compute_df(self, **kwargs)``, returning
+    ``np.vstack([dfx, dfy]).T`` where ``dfx, dfy`` are the estimation of the 2
+    gradient coordinates.
+    """
+    def __init__(self, interpolator, **kwargs):
+        _api.check_isinstance(CubicTriInterpolator, interpolator=interpolator)
+        self._pts = interpolator._pts
+        self._tris_pts = interpolator._tris_pts
+        self.z = interpolator._z
+        self._triangles = interpolator._triangles
+        (self._unit_x, self._unit_y) = (interpolator._unit_x,
+                                        interpolator._unit_y)
+        self.dz = self.compute_dz(**kwargs)
+        self.compute_dof_from_df()
+
+    def compute_dz(self, **kwargs):
+        raise NotImplementedError
+
+    def compute_dof_from_df(self):
+        """
+        Compute reduced-HCT elements degrees of freedom, from the gradient.
+        """
+        J = CubicTriInterpolator._get_jacobian(self._tris_pts)
+        tri_z = self.z[self._triangles]
+        tri_dz = self.dz[self._triangles]
+        tri_dof = self.get_dof_vec(tri_z, tri_dz, J)
+        return tri_dof
+
+    @staticmethod
+    def get_dof_vec(tri_z, tri_dz, J):
+        """
+        Compute the dof vector of a triangle, from the value of f, df and
+        of the local Jacobian at each node.
+
+        Parameters
+        ----------
+        tri_z : shape (3,) array
+            f nodal values.
+        tri_dz : shape (3, 2) array
+            df/dx, df/dy nodal values.
+        J
+            Jacobian matrix in local basis of apex 0.
+
+        Returns
+        -------
+        dof : shape (9,) array
+            For each apex ``iapex``::
+
+                dof[iapex*3+0] = f(Ai)
+                dof[iapex*3+1] = df(Ai).(AiAi+)
+                dof[iapex*3+2] = df(Ai).(AiAi-)
+        """
+        npt = tri_z.shape[0]
+        dof = np.zeros([npt, 9], dtype=np.float64)
+        J1 = _ReducedHCT_Element.J0_to_J1 @ J
+        J2 = _ReducedHCT_Element.J0_to_J2 @ J
+
+        col0 = J @ np.expand_dims(tri_dz[:, 0, :], axis=2)
+        col1 = J1 @ np.expand_dims(tri_dz[:, 1, :], axis=2)
+        col2 = J2 @ np.expand_dims(tri_dz[:, 2, :], axis=2)
+
+        dfdksi = _to_matrix_vectorized([
+            [col0[:, 0, 0], col1[:, 0, 0], col2[:, 0, 0]],
+            [col0[:, 1, 0], col1[:, 1, 0], col2[:, 1, 0]]])
+        dof[:, 0:7:3] = tri_z
+        dof[:, 1:8:3] = dfdksi[:, 0]
+        dof[:, 2:9:3] = dfdksi[:, 1]
+        return dof
+
+
+class _DOF_estimator_user(_DOF_estimator):
+    """dz is imposed by user; accounts for scaling if any."""
+
+    def compute_dz(self, dz):
+        (dzdx, dzdy) = dz
+        dzdx = dzdx * self._unit_x
+        dzdy = dzdy * self._unit_y
+        return np.vstack([dzdx, dzdy]).T
+
+
+class _DOF_estimator_geom(_DOF_estimator):
+    """Fast 'geometric' approximation, recommended for large arrays."""
+
+    def compute_dz(self):
+        """
+        self.df is computed as weighted average of _triangles sharing a common
+        node. On each triangle itri f is first assumed linear (= ~f), which
+        allows to compute d~f[itri]
+        Then the following approximation of df nodal values is then proposed:
+            f[ipt] = SUM ( w[itri] x d~f[itri] , for itri sharing apex ipt)
+        The weighted coeff. w[itri] are proportional to the angle of the
+        triangle itri at apex ipt
+        """
+        el_geom_w = self.compute_geom_weights()
+        el_geom_grad = self.compute_geom_grads()
+
+        # Sum of weights coeffs
+        w_node_sum = np.bincount(np.ravel(self._triangles),
+                                 weights=np.ravel(el_geom_w))
+
+        # Sum of weighted df = (dfx, dfy)
+        dfx_el_w = np.empty_like(el_geom_w)
+        dfy_el_w = np.empty_like(el_geom_w)
+        for iapex in range(3):
+            dfx_el_w[:, iapex] = el_geom_w[:, iapex]*el_geom_grad[:, 0]
+            dfy_el_w[:, iapex] = el_geom_w[:, iapex]*el_geom_grad[:, 1]
+        dfx_node_sum = np.bincount(np.ravel(self._triangles),
+                                   weights=np.ravel(dfx_el_w))
+        dfy_node_sum = np.bincount(np.ravel(self._triangles),
+                                   weights=np.ravel(dfy_el_w))
+
+        # Estimation of df
+        dfx_estim = dfx_node_sum/w_node_sum
+        dfy_estim = dfy_node_sum/w_node_sum
+        return np.vstack([dfx_estim, dfy_estim]).T
+
+    def compute_geom_weights(self):
+        """
+        Build the (nelems, 3) weights coeffs of _triangles angles,
+        renormalized so that np.sum(weights, axis=1) == np.ones(nelems)
+        """
+        weights = np.zeros([np.size(self._triangles, 0), 3])
+        tris_pts = self._tris_pts
+        for ipt in range(3):
+            p0 = tris_pts[:, ipt % 3, :]
+            p1 = tris_pts[:, (ipt+1) % 3, :]
+            p2 = tris_pts[:, (ipt-1) % 3, :]
+            alpha1 = np.arctan2(p1[:, 1]-p0[:, 1], p1[:, 0]-p0[:, 0])
+            alpha2 = np.arctan2(p2[:, 1]-p0[:, 1], p2[:, 0]-p0[:, 0])
+            # In the below formula we could take modulo 2. but
+            # modulo 1. is safer regarding round-off errors (flat triangles).
+            angle = np.abs(((alpha2-alpha1) / np.pi) % 1)
+            # Weight proportional to angle up np.pi/2; null weight for
+            # degenerated cases 0 and np.pi (note that *angle* is normalized
+            # by np.pi).
+            weights[:, ipt] = 0.5 - np.abs(angle-0.5)
+        return weights
+
+    def compute_geom_grads(self):
+        """
+        Compute the (global) gradient component of f assumed linear (~f).
+        returns array df of shape (nelems, 2)
+        df[ielem].dM[ielem] = dz[ielem] i.e. df = dz x dM = dM.T^-1 x dz
+        """
+        tris_pts = self._tris_pts
+        tris_f = self.z[self._triangles]
+
+        dM1 = tris_pts[:, 1, :] - tris_pts[:, 0, :]
+        dM2 = tris_pts[:, 2, :] - tris_pts[:, 0, :]
+        dM = np.dstack([dM1, dM2])
+        # Here we try to deal with the simplest colinear cases: a null
+        # gradient is assumed in this case.
+        dM_inv = _safe_inv22_vectorized(dM)
+
+        dZ1 = tris_f[:, 1] - tris_f[:, 0]
+        dZ2 = tris_f[:, 2] - tris_f[:, 0]
+        dZ = np.vstack([dZ1, dZ2]).T
+        df = np.empty_like(dZ)
+
+        # With np.einsum: could be ej,eji -> ej
+        df[:, 0] = dZ[:, 0]*dM_inv[:, 0, 0] + dZ[:, 1]*dM_inv[:, 1, 0]
+        df[:, 1] = dZ[:, 0]*dM_inv[:, 0, 1] + dZ[:, 1]*dM_inv[:, 1, 1]
+        return df
+
+
+class _DOF_estimator_min_E(_DOF_estimator_geom):
+    """
+    The 'smoothest' approximation, df is computed through global minimization
+    of the bending energy:
+      E(f) = integral[(d2z/dx2 + d2z/dy2 + 2 d2z/dxdy)**2 dA]
+    """
+    def __init__(self, Interpolator):
+        self._eccs = Interpolator._eccs
+        super().__init__(Interpolator)
+
+    def compute_dz(self):
+        """
+        Elliptic solver for bending energy minimization.
+        Uses a dedicated 'toy' sparse Jacobi PCG solver.
+        """
+        # Initial guess for iterative PCG solver.
+        dz_init = super().compute_dz()
+        Uf0 = np.ravel(dz_init)
+
+        reference_element = _ReducedHCT_Element()
+        J = CubicTriInterpolator._get_jacobian(self._tris_pts)
+        eccs = self._eccs
+        triangles = self._triangles
+        Uc = self.z[self._triangles]
+
+        # Building stiffness matrix and force vector in coo format
+        Kff_rows, Kff_cols, Kff_vals, Ff = reference_element.get_Kff_and_Ff(
+            J, eccs, triangles, Uc)
+
+        # Building sparse matrix and solving minimization problem
+        # We could use scipy.sparse direct solver; however to avoid this
+        # external dependency an implementation of a simple PCG solver with
+        # a simple diagonal Jacobi preconditioner is implemented.
+        tol = 1.e-10
+        n_dof = Ff.shape[0]
+        Kff_coo = _Sparse_Matrix_coo(Kff_vals, Kff_rows, Kff_cols,
+                                     shape=(n_dof, n_dof))
+        Kff_coo.compress_csc()
+        Uf, err = _cg(A=Kff_coo, b=Ff, x0=Uf0, tol=tol)
+        # If the PCG did not converge, we return the best guess between Uf0
+        # and Uf.
+        err0 = np.linalg.norm(Kff_coo.dot(Uf0) - Ff)
+        if err0 < err:
+            # Maybe a good occasion to raise a warning here ?
+            _api.warn_external("In TriCubicInterpolator initialization, "
+                               "PCG sparse solver did not converge after "
+                               "1000 iterations. `geom` approximation is "
+                               "used instead of `min_E`")
+            Uf = Uf0
+
+        # Building dz from Uf
+        dz = np.empty([self._pts.shape[0], 2], dtype=np.float64)
+        dz[:, 0] = Uf[::2]
+        dz[:, 1] = Uf[1::2]
+        return dz
+
+
+# The following private :class:_Sparse_Matrix_coo and :func:_cg provide
+# a PCG sparse solver for (symmetric) elliptic problems.
+class _Sparse_Matrix_coo:
+    def __init__(self, vals, rows, cols, shape):
+        """
+        Create a sparse matrix in coo format.
+        *vals*: arrays of values of non-null entries of the matrix
+        *rows*: int arrays of rows of non-null entries of the matrix
+        *cols*: int arrays of cols of non-null entries of the matrix
+        *shape*: 2-tuple (n, m) of matrix shape
+        """
+        self.n, self.m = shape
+        self.vals = np.asarray(vals, dtype=np.float64)
+        self.rows = np.asarray(rows, dtype=np.int32)
+        self.cols = np.asarray(cols, dtype=np.int32)
+
+    def dot(self, V):
+        """
+        Dot product of self by a vector *V* in sparse-dense to dense format
+        *V* dense vector of shape (self.m,).
+        """
+        assert V.shape == (self.m,)
+        return np.bincount(self.rows,
+                           weights=self.vals*V[self.cols],
+                           minlength=self.m)
+
+    def compress_csc(self):
+        """
+        Compress rows, cols, vals / summing duplicates. Sort for csc format.
+        """
+        _, unique, indices = np.unique(
+            self.rows + self.n*self.cols,
+            return_index=True, return_inverse=True)
+        self.rows = self.rows[unique]
+        self.cols = self.cols[unique]
+        self.vals = np.bincount(indices, weights=self.vals)
+
+    def compress_csr(self):
+        """
+        Compress rows, cols, vals / summing duplicates. Sort for csr format.
+        """
+        _, unique, indices = np.unique(
+            self.m*self.rows + self.cols,
+            return_index=True, return_inverse=True)
+        self.rows = self.rows[unique]
+        self.cols = self.cols[unique]
+        self.vals = np.bincount(indices, weights=self.vals)
+
+    def to_dense(self):
+        """
+        Return a dense matrix representing self, mainly for debugging purposes.
+        """
+        ret = np.zeros([self.n, self.m], dtype=np.float64)
+        nvals = self.vals.size
+        for i in range(nvals):
+            ret[self.rows[i], self.cols[i]] += self.vals[i]
+        return ret
+
+    def __str__(self):
+        return self.to_dense().__str__()
+
+    @property
+    def diag(self):
+        """Return the (dense) vector of the diagonal elements."""
+        in_diag = (self.rows == self.cols)
+        diag = np.zeros(min(self.n, self.n), dtype=np.float64)  # default 0.
+        diag[self.rows[in_diag]] = self.vals[in_diag]
+        return diag
+
+
+def _cg(A, b, x0=None, tol=1.e-10, maxiter=1000):
+    """
+    Use Preconditioned Conjugate Gradient iteration to solve A x = b
+    A simple Jacobi (diagonal) preconditioner is used.
+
+    Parameters
+    ----------
+    A : _Sparse_Matrix_coo
+        *A* must have been compressed before by compress_csc or
+        compress_csr method.
+    b : array
+        Right hand side of the linear system.
+    x0 : array, optional
+        Starting guess for the solution. Defaults to the zero vector.
+    tol : float, optional
+        Tolerance to achieve. The algorithm terminates when the relative
+        residual is below tol. Default is 1e-10.
+    maxiter : int, optional
+        Maximum number of iterations.  Iteration will stop after *maxiter*
+        steps even if the specified tolerance has not been achieved. Defaults
+        to 1000.
+
+    Returns
+    -------
+    x : array
+        The converged solution.
+    err : float
+        The absolute error np.linalg.norm(A.dot(x) - b)
+    """
+    n = b.size
+    assert A.n == n
+    assert A.m == n
+    b_norm = np.linalg.norm(b)
+
+    # Jacobi pre-conditioner
+    kvec = A.diag
+    # For diag elem < 1e-6 we keep 1e-6.
+    kvec = np.maximum(kvec, 1e-6)
+
+    # Initial guess
+    if x0 is None:
+        x = np.zeros(n)
+    else:
+        x = x0
+
+    r = b - A.dot(x)
+    w = r/kvec
+
+    p = np.zeros(n)
+    beta = 0.0
+    rho = np.dot(r, w)
+    k = 0
+
+    # Following C. T. Kelley
+    while (np.sqrt(abs(rho)) > tol*b_norm) and (k < maxiter):
+        p = w + beta*p
+        z = A.dot(p)
+        alpha = rho/np.dot(p, z)
+        r = r - alpha*z
+        w = r/kvec
+        rhoold = rho
+        rho = np.dot(r, w)
+        x = x + alpha*p
+        beta = rho/rhoold
+        # err = np.linalg.norm(A.dot(x) - b)  # absolute accuracy - not used
+        k += 1
+    err = np.linalg.norm(A.dot(x) - b)
+    return x, err
+
+
+# The following private functions:
+#     :func:`_safe_inv22_vectorized`
+#     :func:`_pseudo_inv22sym_vectorized`
+#     :func:`_scalar_vectorized`
+#     :func:`_transpose_vectorized`
+#     :func:`_roll_vectorized`
+#     :func:`_to_matrix_vectorized`
+#     :func:`_extract_submatrices`
+# provide fast numpy implementation of some standard operations on arrays of
+# matrices - stored as (:, n_rows, n_cols)-shaped np.arrays.
+
+# Development note: Dealing with pathologic 'flat' triangles in the
+# CubicTriInterpolator code and impact on (2, 2)-matrix inversion functions
+# :func:`_safe_inv22_vectorized` and :func:`_pseudo_inv22sym_vectorized`.
+#
+# Goals:
+# 1) The CubicTriInterpolator should be able to handle flat or almost flat
+#    triangles without raising an error,
+# 2) These degenerated triangles should have no impact on the automatic dof
+#    calculation (associated with null weight for the _DOF_estimator_geom and
+#    with null energy for the _DOF_estimator_min_E),
+# 3) Linear patch test should be passed exactly on degenerated meshes,
+# 4) Interpolation (with :meth:`_interpolate_single_key` or
+#    :meth:`_interpolate_multi_key`) shall be correctly handled even *inside*
+#    the pathologic triangles, to interact correctly with a TriRefiner class.
+#
+# Difficulties:
+# Flat triangles have rank-deficient *J* (so-called jacobian matrix) and
+# *metric* (the metric tensor = J x J.T). Computation of the local
+# tangent plane is also problematic.
+#
+# Implementation:
+# Most of the time, when computing the inverse of a rank-deficient matrix it
+# is safe to simply return the null matrix (which is the implementation in
+# :func:`_safe_inv22_vectorized`). This is because of point 2), itself
+# enforced by:
+#    - null area hence null energy in :class:`_DOF_estimator_min_E`
+#    - angles close or equal to 0 or np.pi hence null weight in
+#      :class:`_DOF_estimator_geom`.
+#      Note that the function angle -> weight is continuous and maximum for an
+#      angle np.pi/2 (refer to :meth:`compute_geom_weights`)
+# The exception is the computation of barycentric coordinates, which is done
+# by inversion of the *metric* matrix. In this case, we need to compute a set
+# of valid coordinates (1 among numerous possibilities), to ensure point 4).
+# We benefit here from the symmetry of metric = J x J.T, which makes it easier
+# to compute a pseudo-inverse in :func:`_pseudo_inv22sym_vectorized`
+def _safe_inv22_vectorized(M):
+    """
+    Inversion of arrays of (2, 2) matrices, returns 0 for rank-deficient
+    matrices.
+
+    *M* : array of (2, 2) matrices to inverse, shape (n, 2, 2)
+    """
+    _api.check_shape((None, 2, 2), M=M)
+    M_inv = np.empty_like(M)
+    prod1 = M[:, 0, 0]*M[:, 1, 1]
+    delta = prod1 - M[:, 0, 1]*M[:, 1, 0]
+
+    # We set delta_inv to 0. in case of a rank deficient matrix; a
+    # rank-deficient input matrix *M* will lead to a null matrix in output
+    rank2 = (np.abs(delta) > 1e-8*np.abs(prod1))
+    if np.all(rank2):
+        # Normal 'optimized' flow.
+        delta_inv = 1./delta
+    else:
+        # 'Pathologic' flow.
+        delta_inv = np.zeros(M.shape[0])
+        delta_inv[rank2] = 1./delta[rank2]
+
+    M_inv[:, 0, 0] = M[:, 1, 1]*delta_inv
+    M_inv[:, 0, 1] = -M[:, 0, 1]*delta_inv
+    M_inv[:, 1, 0] = -M[:, 1, 0]*delta_inv
+    M_inv[:, 1, 1] = M[:, 0, 0]*delta_inv
+    return M_inv
+
+
+def _pseudo_inv22sym_vectorized(M):
+    """
+    Inversion of arrays of (2, 2) SYMMETRIC matrices; returns the
+    (Moore-Penrose) pseudo-inverse for rank-deficient matrices.
+
+    In case M is of rank 1, we have M = trace(M) x P where P is the orthogonal
+    projection on Im(M), and we return trace(M)^-1 x P == M / trace(M)**2
+    In case M is of rank 0, we return the null matrix.
+
+    *M* : array of (2, 2) matrices to inverse, shape (n, 2, 2)
+    """
+    _api.check_shape((None, 2, 2), M=M)
+    M_inv = np.empty_like(M)
+    prod1 = M[:, 0, 0]*M[:, 1, 1]
+    delta = prod1 - M[:, 0, 1]*M[:, 1, 0]
+    rank2 = (np.abs(delta) > 1e-8*np.abs(prod1))
+
+    if np.all(rank2):
+        # Normal 'optimized' flow.
+        M_inv[:, 0, 0] = M[:, 1, 1] / delta
+        M_inv[:, 0, 1] = -M[:, 0, 1] / delta
+        M_inv[:, 1, 0] = -M[:, 1, 0] / delta
+        M_inv[:, 1, 1] = M[:, 0, 0] / delta
+    else:
+        # 'Pathologic' flow.
+        # Here we have to deal with 2 sub-cases
+        # 1) First sub-case: matrices of rank 2:
+        delta = delta[rank2]
+        M_inv[rank2, 0, 0] = M[rank2, 1, 1] / delta
+        M_inv[rank2, 0, 1] = -M[rank2, 0, 1] / delta
+        M_inv[rank2, 1, 0] = -M[rank2, 1, 0] / delta
+        M_inv[rank2, 1, 1] = M[rank2, 0, 0] / delta
+        # 2) Second sub-case: rank-deficient matrices of rank 0 and 1:
+        rank01 = ~rank2
+        tr = M[rank01, 0, 0] + M[rank01, 1, 1]
+        tr_zeros = (np.abs(tr) < 1.e-8)
+        sq_tr_inv = (1.-tr_zeros) / (tr**2+tr_zeros)
+        # sq_tr_inv = 1. / tr**2
+        M_inv[rank01, 0, 0] = M[rank01, 0, 0] * sq_tr_inv
+        M_inv[rank01, 0, 1] = M[rank01, 0, 1] * sq_tr_inv
+        M_inv[rank01, 1, 0] = M[rank01, 1, 0] * sq_tr_inv
+        M_inv[rank01, 1, 1] = M[rank01, 1, 1] * sq_tr_inv
+
+    return M_inv
+
+
+def _scalar_vectorized(scalar, M):
+    """
+    Scalar product between scalars and matrices.
+    """
+    return scalar[:, np.newaxis, np.newaxis]*M
+
+
+def _transpose_vectorized(M):
+    """
+    Transposition of an array of matrices *M*.
+    """
+    return np.transpose(M, [0, 2, 1])
+
+
+def _roll_vectorized(M, roll_indices, axis):
+    """
+    Roll an array of matrices along *axis* (0: rows, 1: columns) according to
+    an array of indices *roll_indices*.
+    """
+    assert axis in [0, 1]
+    ndim = M.ndim
+    assert ndim == 3
+    ndim_roll = roll_indices.ndim
+    assert ndim_roll == 1
+    sh = M.shape
+    r, c = sh[-2:]
+    assert sh[0] == roll_indices.shape[0]
+    vec_indices = np.arange(sh[0], dtype=np.int32)
+
+    # Builds the rolled matrix
+    M_roll = np.empty_like(M)
+    if axis == 0:
+        for ir in range(r):
+            for ic in range(c):
+                M_roll[:, ir, ic] = M[vec_indices, (-roll_indices+ir) % r, ic]
+    else:  # 1
+        for ir in range(r):
+            for ic in range(c):
+                M_roll[:, ir, ic] = M[vec_indices, ir, (-roll_indices+ic) % c]
+    return M_roll
+
+
+def _to_matrix_vectorized(M):
+    """
+    Build an array of matrices from individuals np.arrays of identical shapes.
+
+    Parameters
+    ----------
+    M
+        ncols-list of nrows-lists of shape sh.
+
+    Returns
+    -------
+    M_res : np.array of shape (sh, nrow, ncols)
+        *M_res* satisfies ``M_res[..., i, j] = M[i][j]``.
+    """
+    assert isinstance(M, (tuple, list))
+    assert all(isinstance(item, (tuple, list)) for item in M)
+    c_vec = np.asarray([len(item) for item in M])
+    assert np.all(c_vec-c_vec[0] == 0)
+    r = len(M)
+    c = c_vec[0]
+    M00 = np.asarray(M[0][0])
+    dt = M00.dtype
+    sh = [M00.shape[0], r, c]
+    M_ret = np.empty(sh, dtype=dt)
+    for irow in range(r):
+        for icol in range(c):
+            M_ret[:, irow, icol] = np.asarray(M[irow][icol])
+    return M_ret
+
+
+def _extract_submatrices(M, block_indices, block_size, axis):
+    """
+    Extract selected blocks of a matrices *M* depending on parameters
+    *block_indices* and *block_size*.
+
+    Returns the array of extracted matrices *Mres* so that ::
+
+        M_res[..., ir, :] = M[(block_indices*block_size+ir), :]
+    """
+    assert block_indices.ndim == 1
+    assert axis in [0, 1]
+
+    r, c = M.shape
+    if axis == 0:
+        sh = [block_indices.shape[0], block_size, c]
+    else:  # 1
+        sh = [block_indices.shape[0], r, block_size]
+
+    dt = M.dtype
+    M_res = np.empty(sh, dtype=dt)
+    if axis == 0:
+        for ir in range(block_size):
+            M_res[:, ir, :] = M[(block_indices*block_size+ir), :]
+    else:  # 1
+        for ic in range(block_size):
+            M_res[:, :, ic] = M[:, (block_indices*block_size+ic)]
+
+    return M_res
diff --git a/lib/matplotlib/tri/_triinterpolate.pyi b/lib/matplotlib/tri/_triinterpolate.pyi
new file mode 100644
index 000000000000..33b2fd8be4cd
--- /dev/null
+++ b/lib/matplotlib/tri/_triinterpolate.pyi
@@ -0,0 +1,32 @@
+from matplotlib.tri import Triangulation, TriFinder
+
+from typing import Literal
+import numpy as np
+from numpy.typing import ArrayLike
+
+class TriInterpolator:
+    def __init__(
+        self,
+        triangulation: Triangulation,
+        z: ArrayLike,
+        trifinder: TriFinder | None = ...,
+    ) -> None: ...
+    # __call__ and gradient are not actually implemented by the ABC, but are specified as required
+    def __call__(self, x: ArrayLike, y: ArrayLike) -> np.ma.MaskedArray: ...
+    def gradient(
+        self, x: ArrayLike, y: ArrayLike
+    ) -> tuple[np.ma.MaskedArray, np.ma.MaskedArray]: ...
+
+class LinearTriInterpolator(TriInterpolator): ...
+
+class CubicTriInterpolator(TriInterpolator):
+    def __init__(
+        self,
+        triangulation: Triangulation,
+        z: ArrayLike,
+        kind: Literal["min_E", "geom", "user"] = ...,
+        trifinder: TriFinder | None = ...,
+        dz: tuple[ArrayLike, ArrayLike] | None = ...,
+    ) -> None: ...
+
+__all__ = ('TriInterpolator', 'LinearTriInterpolator', 'CubicTriInterpolator')
diff --git a/lib/matplotlib/tri/_tripcolor.py b/lib/matplotlib/tri/_tripcolor.py
new file mode 100644
index 000000000000..f3c26b0b25ff
--- /dev/null
+++ b/lib/matplotlib/tri/_tripcolor.py
@@ -0,0 +1,167 @@
+import numpy as np
+
+from matplotlib import _api, _docstring
+from matplotlib.collections import PolyCollection, TriMesh
+from matplotlib.tri._triangulation import Triangulation
+
+
+@_docstring.interpd
+def tripcolor(ax, *args, alpha=1.0, norm=None, cmap=None, vmin=None,
+              vmax=None, shading='flat', facecolors=None, **kwargs):
+    """
+    Create a pseudocolor plot of an unstructured triangular grid.
+
+    Call signatures::
+
+      tripcolor(triangulation, c, *, ...)
+      tripcolor(x, y, c, *, [triangles=triangles], [mask=mask], ...)
+
+    The triangular grid can be specified either by passing a `.Triangulation`
+    object as the first parameter, or by passing the points *x*, *y* and
+    optionally the *triangles* and a *mask*. See `.Triangulation` for an
+    explanation of these parameters.
+
+    It is possible to pass the triangles positionally, i.e.
+    ``tripcolor(x, y, triangles, c, ...)``. However, this is discouraged.
+    For more clarity, pass *triangles* via keyword argument.
+
+    If neither of *triangulation* or *triangles* are given, the triangulation
+    is calculated on the fly. In this case, it does not make sense to provide
+    colors at the triangle faces via *c* or *facecolors* because there are
+    multiple possible triangulations for a group of points and you don't know
+    which triangles will be constructed.
+
+    Parameters
+    ----------
+    triangulation : `.Triangulation`
+        An already created triangular grid.
+    x, y, triangles, mask
+        Parameters defining the triangular grid. See `.Triangulation`.
+        This is mutually exclusive with specifying *triangulation*.
+    c : array-like
+        The color values, either for the points or for the triangles. Which one
+        is automatically inferred from the length of *c*, i.e. does it match
+        the number of points or the number of triangles. If there are the same
+        number of points and triangles in the triangulation it is assumed that
+        color values are defined at points; to force the use of color values at
+        triangles use the keyword argument ``facecolors=c`` instead of just
+        ``c``.
+        This parameter is position-only.
+    facecolors : array-like, optional
+        Can be used alternatively to *c* to specify colors at the triangle
+        faces. This parameter takes precedence over *c*.
+    shading : {'flat', 'gouraud'}, default: 'flat'
+        If  'flat' and the color values *c* are defined at points, the color
+        values used for each triangle are from the mean c of the triangle's
+        three points. If *shading* is 'gouraud' then color values must be
+        defined at points.
+    %(cmap_doc)s
+
+    %(norm_doc)s
+
+    %(vmin_vmax_doc)s
+
+    %(colorizer_doc)s
+
+    Returns
+    -------
+    `~matplotlib.collections.PolyCollection` or `~matplotlib.collections.TriMesh`
+        The result depends on *shading*: For ``shading='flat'`` the result is a
+        `.PolyCollection`, for ``shading='gouraud'`` the result is a `.TriMesh`.
+
+    Other Parameters
+    ----------------
+    **kwargs : `~matplotlib.collections.Collection` properties
+
+        %(Collection:kwdoc)s
+    """
+    _api.check_in_list(['flat', 'gouraud'], shading=shading)
+
+    tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
+
+    # Parse the color to be in one of (the other variable will be None):
+    # - facecolors: if specified at the triangle faces
+    # - point_colors: if specified at the points
+    if facecolors is not None:
+        if args:
+            _api.warn_external(
+                "Positional parameter c has no effect when the keyword "
+                "facecolors is given")
+        point_colors = None
+        if len(facecolors) != len(tri.triangles):
+            raise ValueError("The length of facecolors must match the number "
+                             "of triangles")
+    else:
+        # Color from positional parameter c
+        if not args:
+            raise TypeError(
+                "tripcolor() missing 1 required positional argument: 'c'; or "
+                "1 required keyword-only argument: 'facecolors'")
+        elif len(args) > 1:
+            raise TypeError(f"Unexpected positional parameters: {args[1:]!r}")
+        c = np.asarray(args[0])
+        if len(c) == len(tri.x):
+            # having this before the len(tri.triangles) comparison gives
+            # precedence to nodes if there are as many nodes as triangles
+            point_colors = c
+            facecolors = None
+        elif len(c) == len(tri.triangles):
+            point_colors = None
+            facecolors = c
+        else:
+            raise ValueError('The length of c must match either the number '
+                             'of points or the number of triangles')
+
+    # Handling of linewidths, shading, edgecolors and antialiased as
+    # in Axes.pcolor
+    linewidths = (0.25,)
+    if 'linewidth' in kwargs:
+        kwargs['linewidths'] = kwargs.pop('linewidth')
+    kwargs.setdefault('linewidths', linewidths)
+
+    edgecolors = 'none'
+    if 'edgecolor' in kwargs:
+        kwargs['edgecolors'] = kwargs.pop('edgecolor')
+    ec = kwargs.setdefault('edgecolors', edgecolors)
+
+    if 'antialiased' in kwargs:
+        kwargs['antialiaseds'] = kwargs.pop('antialiased')
+    if 'antialiaseds' not in kwargs and ec.lower() == "none":
+        kwargs['antialiaseds'] = False
+
+    if shading == 'gouraud':
+        if facecolors is not None:
+            raise ValueError(
+                "shading='gouraud' can only be used when the colors "
+                "are specified at the points, not at the faces.")
+        collection = TriMesh(tri, alpha=alpha, array=point_colors,
+                             cmap=cmap, norm=norm, **kwargs)
+    else:  # 'flat'
+        # Vertices of triangles.
+        maskedTris = tri.get_masked_triangles()
+        verts = np.stack((tri.x[maskedTris], tri.y[maskedTris]), axis=-1)
+
+        # Color values.
+        if facecolors is None:
+            # One color per triangle, the mean of the 3 vertex color values.
+            colors = point_colors[maskedTris].mean(axis=1)
+        elif tri.mask is not None:
+            # Remove color values of masked triangles.
+            colors = facecolors[~tri.mask]
+        else:
+            colors = facecolors
+        collection = PolyCollection(verts, alpha=alpha, array=colors,
+                                    cmap=cmap, norm=norm, **kwargs)
+
+    collection._scale_norm(norm, vmin, vmax)
+    ax.grid(False)
+
+    minx = tri.x.min()
+    maxx = tri.x.max()
+    miny = tri.y.min()
+    maxy = tri.y.max()
+    corners = (minx, miny), (maxx, maxy)
+    ax.update_datalim(corners)
+    ax.autoscale_view()
+    ax.add_collection(collection)
+    return collection
diff --git a/lib/matplotlib/tri/_tripcolor.pyi b/lib/matplotlib/tri/_tripcolor.pyi
new file mode 100644
index 000000000000..42acffcdc52e
--- /dev/null
+++ b/lib/matplotlib/tri/_tripcolor.pyi
@@ -0,0 +1,71 @@
+from matplotlib.axes import Axes
+from matplotlib.collections import PolyCollection, TriMesh
+from matplotlib.colors import Normalize, Colormap
+from matplotlib.tri._triangulation import Triangulation
+
+from numpy.typing import ArrayLike
+
+from typing import overload, Literal
+
+@overload
+def tripcolor(
+    ax: Axes,
+    triangulation: Triangulation,
+    c: ArrayLike = ...,
+    *,
+    alpha: float = ...,
+    norm: str | Normalize | None = ...,
+    cmap: str | Colormap | None = ...,
+    vmin: float | None = ...,
+    vmax: float | None = ...,
+    shading: Literal["flat"] = ...,
+    facecolors: ArrayLike | None = ...,
+    **kwargs
+) -> PolyCollection: ...
+@overload
+def tripcolor(
+    ax: Axes,
+    x: ArrayLike,
+    y: ArrayLike,
+    c: ArrayLike = ...,
+    *,
+    alpha: float = ...,
+    norm: str | Normalize | None = ...,
+    cmap: str | Colormap | None = ...,
+    vmin: float | None = ...,
+    vmax: float | None = ...,
+    shading: Literal["flat"] = ...,
+    facecolors: ArrayLike | None = ...,
+    **kwargs
+) -> PolyCollection: ...
+@overload
+def tripcolor(
+    ax: Axes,
+    triangulation: Triangulation,
+    c: ArrayLike = ...,
+    *,
+    alpha: float = ...,
+    norm: str | Normalize | None = ...,
+    cmap: str | Colormap | None = ...,
+    vmin: float | None = ...,
+    vmax: float | None = ...,
+    shading: Literal["gouraud"],
+    facecolors: ArrayLike | None = ...,
+    **kwargs
+) -> TriMesh: ...
+@overload
+def tripcolor(
+    ax: Axes,
+    x: ArrayLike,
+    y: ArrayLike,
+    c: ArrayLike = ...,
+    *,
+    alpha: float = ...,
+    norm: str | Normalize | None = ...,
+    cmap: str | Colormap | None = ...,
+    vmin: float | None = ...,
+    vmax: float | None = ...,
+    shading: Literal["gouraud"],
+    facecolors: ArrayLike | None = ...,
+    **kwargs
+) -> TriMesh: ...
diff --git a/lib/matplotlib/tri/_triplot.py b/lib/matplotlib/tri/_triplot.py
new file mode 100644
index 000000000000..6168946b1531
--- /dev/null
+++ b/lib/matplotlib/tri/_triplot.py
@@ -0,0 +1,86 @@
+import numpy as np
+from matplotlib.tri._triangulation import Triangulation
+import matplotlib.cbook as cbook
+import matplotlib.lines as mlines
+
+
+def triplot(ax, *args, **kwargs):
+    """
+    Draw an unstructured triangular grid as lines and/or markers.
+
+    Call signatures::
+
+      triplot(triangulation, ...)
+      triplot(x, y, [triangles], *, [mask=mask], ...)
+
+    The triangular grid can be specified either by passing a `.Triangulation`
+    object as the first parameter, or by passing the points *x*, *y* and
+    optionally the *triangles* and a *mask*. If neither of *triangulation* or
+    *triangles* are given, the triangulation is calculated on the fly.
+
+    Parameters
+    ----------
+    triangulation : `.Triangulation`
+        An already created triangular grid.
+    x, y, triangles, mask
+        Parameters defining the triangular grid. See `.Triangulation`.
+        This is mutually exclusive with specifying *triangulation*.
+    other_parameters
+        All other args and kwargs are forwarded to `~.Axes.plot`.
+
+    Returns
+    -------
+    lines : `~matplotlib.lines.Line2D`
+        The drawn triangles edges.
+    markers : `~matplotlib.lines.Line2D`
+        The drawn marker nodes.
+    """
+    import matplotlib.axes
+
+    tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
+    x, y, edges = (tri.x, tri.y, tri.edges)
+
+    # Decode plot format string, e.g., 'ro-'
+    fmt = args[0] if args else ""
+    linestyle, marker, color = matplotlib.axes._base._process_plot_format(fmt)
+
+    # Insert plot format string into a copy of kwargs (kwargs values prevail).
+    kw = cbook.normalize_kwargs(kwargs, mlines.Line2D)
+    for key, val in zip(('linestyle', 'marker', 'color'),
+                        (linestyle, marker, color)):
+        if val is not None:
+            kw.setdefault(key, val)
+
+    # Draw lines without markers.
+    # Note 1: If we drew markers here, most markers would be drawn more than
+    #         once as they belong to several edges.
+    # Note 2: We insert nan values in the flattened edges arrays rather than
+    #         plotting directly (triang.x[edges].T, triang.y[edges].T)
+    #         as it considerably speeds-up code execution.
+    linestyle = kw['linestyle']
+    kw_lines = {
+        **kw,
+        'marker': 'None',  # No marker to draw.
+        'zorder': kw.get('zorder', 1),  # Path default zorder is used.
+    }
+    if linestyle not in [None, 'None', '', ' ']:
+        tri_lines_x = np.insert(x[edges], 2, np.nan, axis=1)
+        tri_lines_y = np.insert(y[edges], 2, np.nan, axis=1)
+        tri_lines = ax.plot(tri_lines_x.ravel(), tri_lines_y.ravel(),
+                            **kw_lines)
+    else:
+        tri_lines = ax.plot([], [], **kw_lines)
+
+    # Draw markers separately.
+    marker = kw['marker']
+    kw_markers = {
+        **kw,
+        'linestyle': 'None',  # No line to draw.
+    }
+    kw_markers.pop('label', None)
+    if marker not in [None, 'None', '', ' ']:
+        tri_markers = ax.plot(x, y, **kw_markers)
+    else:
+        tri_markers = ax.plot([], [], **kw_markers)
+
+    return tri_lines + tri_markers
diff --git a/lib/matplotlib/tri/_triplot.pyi b/lib/matplotlib/tri/_triplot.pyi
new file mode 100644
index 000000000000..6224276afdb8
--- /dev/null
+++ b/lib/matplotlib/tri/_triplot.pyi
@@ -0,0 +1,15 @@
+from matplotlib.tri._triangulation import Triangulation
+from matplotlib.axes import Axes
+from matplotlib.lines import Line2D
+
+from typing import overload
+from numpy.typing import ArrayLike
+
+@overload
+def triplot(
+    ax: Axes, triangulation: Triangulation, *args, **kwargs
+) -> tuple[Line2D, Line2D]: ...
+@overload
+def triplot(
+    ax: Axes, x: ArrayLike, y: ArrayLike, triangles: ArrayLike = ..., *args, **kwargs
+) -> tuple[Line2D, Line2D]: ...
diff --git a/lib/matplotlib/tri/_trirefine.py b/lib/matplotlib/tri/_trirefine.py
new file mode 100644
index 000000000000..6a7037ad74fd
--- /dev/null
+++ b/lib/matplotlib/tri/_trirefine.py
@@ -0,0 +1,307 @@
+"""
+Mesh refinement for triangular grids.
+"""
+
+import numpy as np
+
+from matplotlib import _api
+from matplotlib.tri._triangulation import Triangulation
+import matplotlib.tri._triinterpolate
+
+
+class TriRefiner:
+    """
+    Abstract base class for classes implementing mesh refinement.
+
+    A TriRefiner encapsulates a Triangulation object and provides tools for
+    mesh refinement and interpolation.
+
+    Derived classes must implement:
+
+    - ``refine_triangulation(return_tri_index=False, **kwargs)`` , where
+      the optional keyword arguments *kwargs* are defined in each
+      TriRefiner concrete implementation, and which returns:
+
+      - a refined triangulation,
+      - optionally (depending on *return_tri_index*), for each
+        point of the refined triangulation: the index of
+        the initial triangulation triangle to which it belongs.
+
+    - ``refine_field(z, triinterpolator=None, **kwargs)``, where:
+
+      - *z* array of field values (to refine) defined at the base
+        triangulation nodes,
+      - *triinterpolator* is an optional `~matplotlib.tri.TriInterpolator`,
+      - the other optional keyword arguments *kwargs* are defined in
+        each TriRefiner concrete implementation;
+
+      and which returns (as a tuple) a refined triangular mesh and the
+      interpolated values of the field at the refined triangulation nodes.
+    """
+
+    def __init__(self, triangulation):
+        _api.check_isinstance(Triangulation, triangulation=triangulation)
+        self._triangulation = triangulation
+
+
+class UniformTriRefiner(TriRefiner):
+    """
+    Uniform mesh refinement by recursive subdivisions.
+
+    Parameters
+    ----------
+    triangulation : `~matplotlib.tri.Triangulation`
+        The encapsulated triangulation (to be refined)
+    """
+#    See Also
+#    --------
+#    :class:`~matplotlib.tri.CubicTriInterpolator` and
+#    :class:`~matplotlib.tri.TriAnalyzer`.
+#    """
+    def __init__(self, triangulation):
+        super().__init__(triangulation)
+
+    def refine_triangulation(self, return_tri_index=False, subdiv=3):
+        """
+        Compute a uniformly refined triangulation *refi_triangulation* of
+        the encapsulated :attr:`!triangulation`.
+
+        This function refines the encapsulated triangulation by splitting each
+        father triangle into 4 child sub-triangles built on the edges midside
+        nodes, recursing *subdiv* times.  In the end, each triangle is hence
+        divided into ``4**subdiv`` child triangles.
+
+        Parameters
+        ----------
+        return_tri_index : bool, default: False
+            Whether an index table indicating the father triangle index of each
+            point is returned.
+        subdiv : int, default: 3
+            Recursion level for the subdivision.
+            Each triangle is divided into ``4**subdiv`` child triangles;
+            hence, the default results in 64 refined subtriangles for each
+            triangle of the initial triangulation.
+
+        Returns
+        -------
+        refi_triangulation : `~matplotlib.tri.Triangulation`
+            The refined triangulation.
+        found_index : int array
+            Index of the initial triangulation containing triangle, for each
+            point of *refi_triangulation*.
+            Returned only if *return_tri_index* is set to True.
+        """
+        refi_triangulation = self._triangulation
+        ntri = refi_triangulation.triangles.shape[0]
+
+        # Computes the triangulation ancestors numbers in the reference
+        # triangulation.
+        ancestors = np.arange(ntri, dtype=np.int32)
+        for _ in range(subdiv):
+            refi_triangulation, ancestors = self._refine_triangulation_once(
+                refi_triangulation, ancestors)
+        refi_npts = refi_triangulation.x.shape[0]
+        refi_triangles = refi_triangulation.triangles
+
+        # Now we compute found_index table if needed
+        if return_tri_index:
+            # We have to initialize found_index with -1 because some nodes
+            # may very well belong to no triangle at all, e.g., in case of
+            # Delaunay Triangulation with DuplicatePointWarning.
+            found_index = np.full(refi_npts, -1, dtype=np.int32)
+            tri_mask = self._triangulation.mask
+            if tri_mask is None:
+                found_index[refi_triangles] = np.repeat(ancestors,
+                                                        3).reshape(-1, 3)
+            else:
+                # There is a subtlety here: we want to avoid whenever possible
+                # that refined points container is a masked triangle (which
+                # would result in artifacts in plots).
+                # So we impose the numbering from masked ancestors first,
+                # then overwrite it with unmasked ancestor numbers.
+                ancestor_mask = tri_mask[ancestors]
+                found_index[refi_triangles[ancestor_mask, :]
+                            ] = np.repeat(ancestors[ancestor_mask],
+                                          3).reshape(-1, 3)
+                found_index[refi_triangles[~ancestor_mask, :]
+                            ] = np.repeat(ancestors[~ancestor_mask],
+                                          3).reshape(-1, 3)
+            return refi_triangulation, found_index
+        else:
+            return refi_triangulation
+
+    def refine_field(self, z, triinterpolator=None, subdiv=3):
+        """
+        Refine a field defined on the encapsulated triangulation.
+
+        Parameters
+        ----------
+        z : (npoints,) array-like
+            Values of the field to refine, defined at the nodes of the
+            encapsulated triangulation. (``n_points`` is the number of points
+            in the initial triangulation)
+        triinterpolator : `~matplotlib.tri.TriInterpolator`, optional
+            Interpolator used for field interpolation. If not specified,
+            a `~matplotlib.tri.CubicTriInterpolator` will be used.
+        subdiv : int, default: 3
+            Recursion level for the subdivision.
+            Each triangle is divided into ``4**subdiv`` child triangles.
+
+        Returns
+        -------
+        refi_tri : `~matplotlib.tri.Triangulation`
+             The returned refined triangulation.
+        refi_z : 1D array of length: *refi_tri* node count.
+             The returned interpolated field (at *refi_tri* nodes).
+        """
+        if triinterpolator is None:
+            interp = matplotlib.tri.CubicTriInterpolator(
+                self._triangulation, z)
+        else:
+            _api.check_isinstance(matplotlib.tri.TriInterpolator,
+                                  triinterpolator=triinterpolator)
+            interp = triinterpolator
+
+        refi_tri, found_index = self.refine_triangulation(
+            subdiv=subdiv, return_tri_index=True)
+        refi_z = interp._interpolate_multikeys(
+            refi_tri.x, refi_tri.y, tri_index=found_index)[0]
+        return refi_tri, refi_z
+
+    @staticmethod
+    def _refine_triangulation_once(triangulation, ancestors=None):
+        """
+        Refine a `.Triangulation` by splitting each triangle into 4
+        child-masked_triangles built on the edges midside nodes.
+
+        Masked triangles, if present, are also split, but their children
+        returned masked.
+
+        If *ancestors* is not provided, returns only a new triangulation:
+        child_triangulation.
+
+        If the array-like key table *ancestor* is given, it shall be of shape
+        (ntri,) where ntri is the number of *triangulation* masked_triangles.
+        In this case, the function returns
+        (child_triangulation, child_ancestors)
+        child_ancestors is defined so that the 4 child masked_triangles share
+        the same index as their father: child_ancestors.shape = (4 * ntri,).
+        """
+
+        x = triangulation.x
+        y = triangulation.y
+
+        #    According to tri.triangulation doc:
+        #         neighbors[i, j] is the triangle that is the neighbor
+        #         to the edge from point index masked_triangles[i, j] to point
+        #         index masked_triangles[i, (j+1)%3].
+        neighbors = triangulation.neighbors
+        triangles = triangulation.triangles
+        npts = np.shape(x)[0]
+        ntri = np.shape(triangles)[0]
+        if ancestors is not None:
+            ancestors = np.asarray(ancestors)
+            if np.shape(ancestors) != (ntri,):
+                raise ValueError(
+                    "Incompatible shapes provide for "
+                    "triangulation.masked_triangles and ancestors: "
+                    f"{np.shape(triangles)} and {np.shape(ancestors)}")
+
+        # Initiating tables refi_x and refi_y of the refined triangulation
+        # points
+        # hint: each apex is shared by 2 masked_triangles except the borders.
+        borders = np.sum(neighbors == -1)
+        added_pts = (3*ntri + borders) // 2
+        refi_npts = npts + added_pts
+        refi_x = np.zeros(refi_npts)
+        refi_y = np.zeros(refi_npts)
+
+        # First part of refi_x, refi_y is just the initial points
+        refi_x[:npts] = x
+        refi_y[:npts] = y
+
+        # Second part contains the edge midside nodes.
+        # Each edge belongs to 1 triangle (if border edge) or is shared by 2
+        # masked_triangles (interior edge).
+        # We first build 2 * ntri arrays of edge starting nodes (edge_elems,
+        # edge_apexes); we then extract only the masters to avoid overlaps.
+        # The so-called 'master' is the triangle with biggest index
+        # The 'slave' is the triangle with lower index
+        # (can be -1 if border edge)
+        # For slave and master we will identify the apex pointing to the edge
+        # start
+        edge_elems = np.tile(np.arange(ntri, dtype=np.int32), 3)
+        edge_apexes = np.repeat(np.arange(3, dtype=np.int32), ntri)
+        edge_neighbors = neighbors[edge_elems, edge_apexes]
+        mask_masters = (edge_elems > edge_neighbors)
+
+        # Identifying the "masters" and adding to refi_x, refi_y vec
+        masters = edge_elems[mask_masters]
+        apex_masters = edge_apexes[mask_masters]
+        x_add = (x[triangles[masters, apex_masters]] +
+                 x[triangles[masters, (apex_masters+1) % 3]]) * 0.5
+        y_add = (y[triangles[masters, apex_masters]] +
+                 y[triangles[masters, (apex_masters+1) % 3]]) * 0.5
+        refi_x[npts:] = x_add
+        refi_y[npts:] = y_add
+
+        # Building the new masked_triangles; each old masked_triangles hosts
+        # 4 new masked_triangles
+        # there are 6 pts to identify per 'old' triangle, 3 new_pt_corner and
+        # 3 new_pt_midside
+        new_pt_corner = triangles
+
+        # What is the index in refi_x, refi_y of point at middle of apex iapex
+        #  of elem ielem ?
+        # If ielem is the apex master: simple count, given the way refi_x was
+        #  built.
+        # If ielem is the apex slave: yet we do not know; but we will soon
+        # using the neighbors table.
+        new_pt_midside = np.empty([ntri, 3], dtype=np.int32)
+        cum_sum = npts
+        for imid in range(3):
+            mask_st_loc = (imid == apex_masters)
+            n_masters_loc = np.sum(mask_st_loc)
+            elem_masters_loc = masters[mask_st_loc]
+            new_pt_midside[:, imid][elem_masters_loc] = np.arange(
+                n_masters_loc, dtype=np.int32) + cum_sum
+            cum_sum += n_masters_loc
+
+        # Now dealing with slave elems.
+        # for each slave element we identify the master and then the inode
+        # once slave_masters is identified, slave_masters_apex is such that:
+        # neighbors[slaves_masters, slave_masters_apex] == slaves
+        mask_slaves = np.logical_not(mask_masters)
+        slaves = edge_elems[mask_slaves]
+        slaves_masters = edge_neighbors[mask_slaves]
+        diff_table = np.abs(neighbors[slaves_masters, :] -
+                            np.outer(slaves, np.ones(3, dtype=np.int32)))
+        slave_masters_apex = np.argmin(diff_table, axis=1)
+        slaves_apex = edge_apexes[mask_slaves]
+        new_pt_midside[slaves, slaves_apex] = new_pt_midside[
+            slaves_masters, slave_masters_apex]
+
+        # Builds the 4 child masked_triangles
+        child_triangles = np.empty([ntri*4, 3], dtype=np.int32)
+        child_triangles[0::4, :] = np.vstack([
+            new_pt_corner[:, 0], new_pt_midside[:, 0],
+            new_pt_midside[:, 2]]).T
+        child_triangles[1::4, :] = np.vstack([
+            new_pt_corner[:, 1], new_pt_midside[:, 1],
+            new_pt_midside[:, 0]]).T
+        child_triangles[2::4, :] = np.vstack([
+            new_pt_corner[:, 2], new_pt_midside[:, 2],
+            new_pt_midside[:, 1]]).T
+        child_triangles[3::4, :] = np.vstack([
+            new_pt_midside[:, 0], new_pt_midside[:, 1],
+            new_pt_midside[:, 2]]).T
+        child_triangulation = Triangulation(refi_x, refi_y, child_triangles)
+
+        # Builds the child mask
+        if triangulation.mask is not None:
+            child_triangulation.set_mask(np.repeat(triangulation.mask, 4))
+
+        if ancestors is None:
+            return child_triangulation
+        else:
+            return child_triangulation, np.repeat(ancestors, 4)
diff --git a/lib/matplotlib/tri/_trirefine.pyi b/lib/matplotlib/tri/_trirefine.pyi
new file mode 100644
index 000000000000..7c60dc76e2f1
--- /dev/null
+++ b/lib/matplotlib/tri/_trirefine.pyi
@@ -0,0 +1,31 @@
+from typing import Literal, overload
+
+import numpy as np
+from numpy.typing import ArrayLike
+
+from matplotlib.tri._triangulation import Triangulation
+from matplotlib.tri._triinterpolate import TriInterpolator
+
+class TriRefiner:
+    def __init__(self, triangulation: Triangulation) -> None: ...
+
+class UniformTriRefiner(TriRefiner):
+    def __init__(self, triangulation: Triangulation) -> None: ...
+    @overload
+    def refine_triangulation(
+        self, *, return_tri_index: Literal[True], subdiv: int = ...
+    ) -> tuple[Triangulation, np.ndarray]: ...
+    @overload
+    def refine_triangulation(
+        self, return_tri_index: Literal[False] = ..., subdiv: int = ...
+    ) -> Triangulation: ...
+    @overload
+    def refine_triangulation(
+        self, return_tri_index: bool = ..., subdiv: int = ...
+    ) -> tuple[Triangulation, np.ndarray] | Triangulation: ...
+    def refine_field(
+        self,
+        z: ArrayLike,
+        triinterpolator: TriInterpolator | None = ...,
+        subdiv: int = ...,
+    ) -> tuple[Triangulation, np.ndarray]: ...
diff --git a/lib/matplotlib/tri/_tritools.py b/lib/matplotlib/tri/_tritools.py
new file mode 100644
index 000000000000..9837309f7e81
--- /dev/null
+++ b/lib/matplotlib/tri/_tritools.py
@@ -0,0 +1,263 @@
+"""
+Tools for triangular grids.
+"""
+
+import numpy as np
+
+from matplotlib import _api
+from matplotlib.tri import Triangulation
+
+
+class TriAnalyzer:
+    """
+    Define basic tools for triangular mesh analysis and improvement.
+
+    A TriAnalyzer encapsulates a `.Triangulation` object and provides basic
+    tools for mesh analysis and mesh improvement.
+
+    Attributes
+    ----------
+    scale_factors
+
+    Parameters
+    ----------
+    triangulation : `~matplotlib.tri.Triangulation`
+        The encapsulated triangulation to analyze.
+    """
+
+    def __init__(self, triangulation):
+        _api.check_isinstance(Triangulation, triangulation=triangulation)
+        self._triangulation = triangulation
+
+    @property
+    def scale_factors(self):
+        """
+        Factors to rescale the triangulation into a unit square.
+
+        Returns
+        -------
+        (float, float)
+            Scaling factors (kx, ky) so that the triangulation
+            ``[triangulation.x * kx, triangulation.y * ky]``
+            fits exactly inside a unit square.
+        """
+        compressed_triangles = self._triangulation.get_masked_triangles()
+        node_used = (np.bincount(np.ravel(compressed_triangles),
+                                 minlength=self._triangulation.x.size) != 0)
+        return (1 / np.ptp(self._triangulation.x[node_used]),
+                1 / np.ptp(self._triangulation.y[node_used]))
+
+    def circle_ratios(self, rescale=True):
+        """
+        Return a measure of the triangulation triangles flatness.
+
+        The ratio of the incircle radius over the circumcircle radius is a
+        widely used indicator of a triangle flatness.
+        It is always ``<= 0.5`` and ``== 0.5`` only for equilateral
+        triangles. Circle ratios below 0.01 denote very flat triangles.
+
+        To avoid unduly low values due to a difference of scale between the 2
+        axis, the triangular mesh can first be rescaled to fit inside a unit
+        square with `scale_factors` (Only if *rescale* is True, which is
+        its default value).
+
+        Parameters
+        ----------
+        rescale : bool, default: True
+            If True, internally rescale (based on `scale_factors`), so that the
+            (unmasked) triangles fit exactly inside a unit square mesh.
+
+        Returns
+        -------
+        masked array
+            Ratio of the incircle radius over the circumcircle radius, for
+            each 'rescaled' triangle of the encapsulated triangulation.
+            Values corresponding to masked triangles are masked out.
+
+        """
+        # Coords rescaling
+        if rescale:
+            (kx, ky) = self.scale_factors
+        else:
+            (kx, ky) = (1.0, 1.0)
+        pts = np.vstack([self._triangulation.x*kx,
+                         self._triangulation.y*ky]).T
+        tri_pts = pts[self._triangulation.triangles]
+        # Computes the 3 side lengths
+        a = tri_pts[:, 1, :] - tri_pts[:, 0, :]
+        b = tri_pts[:, 2, :] - tri_pts[:, 1, :]
+        c = tri_pts[:, 0, :] - tri_pts[:, 2, :]
+        a = np.hypot(a[:, 0], a[:, 1])
+        b = np.hypot(b[:, 0], b[:, 1])
+        c = np.hypot(c[:, 0], c[:, 1])
+        # circumcircle and incircle radii
+        s = (a+b+c)*0.5
+        prod = s*(a+b-s)*(a+c-s)*(b+c-s)
+        # We have to deal with flat triangles with infinite circum_radius
+        bool_flat = (prod == 0.)
+        if np.any(bool_flat):
+            # Pathologic flow
+            ntri = tri_pts.shape[0]
+            circum_radius = np.empty(ntri, dtype=np.float64)
+            circum_radius[bool_flat] = np.inf
+            abc = a*b*c
+            circum_radius[~bool_flat] = abc[~bool_flat] / (
+                4.0*np.sqrt(prod[~bool_flat]))
+        else:
+            # Normal optimized flow
+            circum_radius = (a*b*c) / (4.0*np.sqrt(prod))
+        in_radius = (a*b*c) / (4.0*circum_radius*s)
+        circle_ratio = in_radius/circum_radius
+        mask = self._triangulation.mask
+        if mask is None:
+            return circle_ratio
+        else:
+            return np.ma.array(circle_ratio, mask=mask)
+
+    def get_flat_tri_mask(self, min_circle_ratio=0.01, rescale=True):
+        """
+        Eliminate excessively flat border triangles from the triangulation.
+
+        Returns a mask *new_mask* which allows to clean the encapsulated
+        triangulation from its border-located flat triangles
+        (according to their :meth:`circle_ratios`).
+        This mask is meant to be subsequently applied to the triangulation
+        using `.Triangulation.set_mask`.
+        *new_mask* is an extension of the initial triangulation mask
+        in the sense that an initially masked triangle will remain masked.
+
+        The *new_mask* array is computed recursively; at each step flat
+        triangles are removed only if they share a side with the current mesh
+        border. Thus, no new holes in the triangulated domain will be created.
+
+        Parameters
+        ----------
+        min_circle_ratio : float, default: 0.01
+            Border triangles with incircle/circumcircle radii ratio r/R will
+            be removed if r/R < *min_circle_ratio*.
+        rescale : bool, default: True
+            If True, first, internally rescale (based on `scale_factors`) so
+            that the (unmasked) triangles fit exactly inside a unit square
+            mesh.  This rescaling accounts for the difference of scale which
+            might exist between the 2 axis.
+
+        Returns
+        -------
+        array of bool
+            Mask to apply to encapsulated triangulation.
+            All the initially masked triangles remain masked in the
+            *new_mask*.
+
+        Notes
+        -----
+        The rationale behind this function is that a Delaunay
+        triangulation - of an unstructured set of points - sometimes contains
+        almost flat triangles at its border, leading to artifacts in plots
+        (especially for high-resolution contouring).
+        Masked with computed *new_mask*, the encapsulated
+        triangulation would contain no more unmasked border triangles
+        with a circle ratio below *min_circle_ratio*, thus improving the
+        mesh quality for subsequent plots or interpolation.
+        """
+        # Recursively computes the mask_current_borders, true if a triangle is
+        # at the border of the mesh OR touching the border through a chain of
+        # invalid aspect ratio masked_triangles.
+        ntri = self._triangulation.triangles.shape[0]
+        mask_bad_ratio = self.circle_ratios(rescale) < min_circle_ratio
+
+        current_mask = self._triangulation.mask
+        if current_mask is None:
+            current_mask = np.zeros(ntri, dtype=bool)
+        valid_neighbors = np.copy(self._triangulation.neighbors)
+        renum_neighbors = np.arange(ntri, dtype=np.int32)
+        nadd = -1
+        while nadd != 0:
+            # The active wavefront is the triangles from the border (unmasked
+            # but with a least 1 neighbor equal to -1
+            wavefront = (np.min(valid_neighbors, axis=1) == -1) & ~current_mask
+            # The element from the active wavefront will be masked if their
+            # circle ratio is bad.
+            added_mask = wavefront & mask_bad_ratio
+            current_mask = added_mask | current_mask
+            nadd = np.sum(added_mask)
+
+            # now we have to update the tables valid_neighbors
+            valid_neighbors[added_mask, :] = -1
+            renum_neighbors[added_mask] = -1
+            valid_neighbors = np.where(valid_neighbors == -1, -1,
+                                       renum_neighbors[valid_neighbors])
+
+        return np.ma.filled(current_mask, True)
+
+    def _get_compressed_triangulation(self):
+        """
+        Compress (if masked) the encapsulated triangulation.
+
+        Returns minimal-length triangles array (*compressed_triangles*) and
+        coordinates arrays (*compressed_x*, *compressed_y*) that can still
+        describe the unmasked triangles of the encapsulated triangulation.
+
+        Returns
+        -------
+        compressed_triangles : array-like
+            the returned compressed triangulation triangles
+        compressed_x : array-like
+            the returned compressed triangulation 1st coordinate
+        compressed_y : array-like
+            the returned compressed triangulation 2nd coordinate
+        tri_renum : int array
+            renumbering table to translate the triangle numbers from the
+            encapsulated triangulation into the new (compressed) renumbering.
+            -1 for masked triangles (deleted from *compressed_triangles*).
+        node_renum : int array
+            renumbering table to translate the point numbers from the
+            encapsulated triangulation into the new (compressed) renumbering.
+            -1 for unused points (i.e. those deleted from *compressed_x* and
+            *compressed_y*).
+
+        """
+        # Valid triangles and renumbering
+        tri_mask = self._triangulation.mask
+        compressed_triangles = self._triangulation.get_masked_triangles()
+        ntri = self._triangulation.triangles.shape[0]
+        if tri_mask is not None:
+            tri_renum = self._total_to_compress_renum(~tri_mask)
+        else:
+            tri_renum = np.arange(ntri, dtype=np.int32)
+
+        # Valid nodes and renumbering
+        valid_node = (np.bincount(np.ravel(compressed_triangles),
+                                  minlength=self._triangulation.x.size) != 0)
+        compressed_x = self._triangulation.x[valid_node]
+        compressed_y = self._triangulation.y[valid_node]
+        node_renum = self._total_to_compress_renum(valid_node)
+
+        # Now renumbering the valid triangles nodes
+        compressed_triangles = node_renum[compressed_triangles]
+
+        return (compressed_triangles, compressed_x, compressed_y, tri_renum,
+                node_renum)
+
+    @staticmethod
+    def _total_to_compress_renum(valid):
+        """
+        Parameters
+        ----------
+        valid : 1D bool array
+            Validity mask.
+
+        Returns
+        -------
+        int array
+            Array so that (`valid_array` being a compressed array
+            based on a `masked_array` with mask ~*valid*):
+
+            - For all i with valid[i] = True:
+              valid_array[renum[i]] = masked_array[i]
+            - For all i with valid[i] = False:
+              renum[i] = -1 (invalid value)
+        """
+        renum = np.full(np.size(valid), -1, dtype=np.int32)
+        n_valid = np.sum(valid)
+        renum[valid] = np.arange(n_valid, dtype=np.int32)
+        return renum
diff --git a/lib/matplotlib/tri/_tritools.pyi b/lib/matplotlib/tri/_tritools.pyi
new file mode 100644
index 000000000000..9b5e1bec4b81
--- /dev/null
+++ b/lib/matplotlib/tri/_tritools.pyi
@@ -0,0 +1,12 @@
+from matplotlib.tri import Triangulation
+
+import numpy as np
+
+class TriAnalyzer:
+    def __init__(self, triangulation: Triangulation) -> None: ...
+    @property
+    def scale_factors(self) -> tuple[float, float]: ...
+    def circle_ratios(self, rescale: bool = ...) -> np.ndarray: ...
+    def get_flat_tri_mask(
+        self, min_circle_ratio: float = ..., rescale: bool = ...
+    ) -> np.ndarray: ...
diff --git a/lib/matplotlib/tri/meson.build b/lib/matplotlib/tri/meson.build
new file mode 100644
index 000000000000..9e71f3348c69
--- /dev/null
+++ b/lib/matplotlib/tri/meson.build
@@ -0,0 +1,25 @@
+python_sources = [
+  '__init__.py',
+  '_triangulation.py',
+  '_tricontour.py',
+  '_trifinder.py',
+  '_triinterpolate.py',
+  '_tripcolor.py',
+  '_triplot.py',
+  '_trirefine.py',
+  '_tritools.py',
+]
+
+typing_sources = [
+  '_triangulation.pyi',
+  '_tricontour.pyi',
+  '_trifinder.pyi',
+  '_triinterpolate.pyi',
+  '_tripcolor.pyi',
+  '_triplot.pyi',
+  '_trirefine.pyi',
+  '_tritools.pyi',
+]
+
+py3.install_sources(python_sources, typing_sources,
+                    subdir: 'matplotlib/tri')
diff --git a/lib/matplotlib/tri/triangulation.py b/lib/matplotlib/tri/triangulation.py
deleted file mode 100644
index a5f3ab7e48ee..000000000000
--- a/lib/matplotlib/tri/triangulation.py
+++ /dev/null
@@ -1,220 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import matplotlib._tri as _tri
-import matplotlib._qhull as _qhull
-import numpy as np
-
-
-class Triangulation(object):
-    """
-    An unstructured triangular grid consisting of npoints points and
-    ntri triangles.  The triangles can either be specified by the user
-    or automatically generated using a Delaunay triangulation.
-
-    Parameters
-    ----------
-    x, y : array_like of shape (npoints)
-        Coordinates of grid points.
-    triangles : integer array_like of shape (ntri, 3), optional
-        For each triangle, the indices of the three points that make
-        up the triangle, ordered in an anticlockwise manner.  If not
-        specified, the Delaunay triangulation is calculated.
-    mask : boolean array_like of shape (ntri), optional
-        Which triangles are masked out.
-
-    Attributes
-    ----------
-    `edges`
-    `neighbors`
-    is_delaunay : bool
-        Whether the Triangulation is a calculated Delaunay
-        triangulation (where `triangles` was not specified) or not.
-
-    Notes
-    -----
-    For a Triangulation to be valid it must not have duplicate points,
-    triangles formed from colinear points, or overlapping triangles.
-    """
-    def __init__(self, x, y, triangles=None, mask=None):
-        self.x = np.asarray(x, dtype=np.float64)
-        self.y = np.asarray(y, dtype=np.float64)
-        if self.x.shape != self.y.shape or len(self.x.shape) != 1:
-            raise ValueError("x and y must be equal-length 1-D arrays")
-
-        self.mask = None
-        self._edges = None
-        self._neighbors = None
-        self.is_delaunay = False
-
-        if triangles is None:
-            # No triangulation specified, so use matplotlib._qhull to obtain
-            # Delaunay triangulation.
-            self.triangles, self._neighbors = _qhull.delaunay(x, y)
-            self.is_delaunay = True
-        else:
-            # Triangulation specified. Copy, since we may correct triangle
-            # orientation.
-            self.triangles = np.array(triangles, dtype=np.int32)
-            if self.triangles.ndim != 2 or self.triangles.shape[1] != 3:
-                raise ValueError('triangles must be a (?,3) array')
-            if self.triangles.max() >= len(self.x):
-                raise ValueError('triangles max element is out of bounds')
-            if self.triangles.min() < 0:
-                raise ValueError('triangles min element is out of bounds')
-
-        if mask is not None:
-            self.mask = np.asarray(mask, dtype=np.bool)
-            if (len(self.mask.shape) != 1 or
-                    self.mask.shape[0] != self.triangles.shape[0]):
-                raise ValueError('mask array must have same length as '
-                                 'triangles array')
-
-        # Underlying C++ object is not created until first needed.
-        self._cpp_triangulation = None
-
-        # Default TriFinder not created until needed.
-        self._trifinder = None
-
-    def calculate_plane_coefficients(self, z):
-        """
-        Calculate plane equation coefficients for all unmasked triangles from
-        the point (x,y) coordinates and specified z-array of shape (npoints).
-        Returned array has shape (npoints,3) and allows z-value at (x,y)
-        position in triangle tri to be calculated using
-        z = array[tri,0]*x + array[tri,1]*y + array[tri,2].
-        """
-        return self.get_cpp_triangulation().calculate_plane_coefficients(z)
-
-    @property
-    def edges(self):
-        """
-        Return integer array of shape (nedges,2) containing all edges of
-        non-masked triangles.
-
-        Each edge is the start point index and end point index.  Each
-        edge (start,end and end,start) appears only once.
-        """
-        if self._edges is None:
-            self._edges = self.get_cpp_triangulation().get_edges()
-        return self._edges
-
-    def get_cpp_triangulation(self):
-        # Return the underlying C++ Triangulation object, creating it
-        # if necessary.
-        if self._cpp_triangulation is None:
-            self._cpp_triangulation = _tri.Triangulation(
-                self.x, self.y, self.triangles, self.mask, self._edges,
-                self._neighbors)
-        return self._cpp_triangulation
-
-    def get_masked_triangles(self):
-        """
-        Return an array of triangles that are not masked.
-        """
-        if self.mask is not None:
-            return self.triangles.compress(1 - self.mask, axis=0)
-        else:
-            return self.triangles
-
-    @staticmethod
-    def get_from_args_and_kwargs(*args, **kwargs):
-        """
-        Return a Triangulation object from the args and kwargs, and
-        the remaining args and kwargs with the consumed values removed.
-
-        There are two alternatives: either the first argument is a
-        Triangulation object, in which case it is returned, or the args
-        and kwargs are sufficient to create a new Triangulation to
-        return.  In the latter case, see Triangulation.__init__ for
-        the possible args and kwargs.
-        """
-        if isinstance(args[0], Triangulation):
-            triangulation = args[0]
-            args = args[1:]
-        else:
-            x = args[0]
-            y = args[1]
-            args = args[2:]  # Consumed first two args.
-
-            # Check triangles in kwargs then args.
-            triangles = kwargs.pop('triangles', None)
-            from_args = False
-            if triangles is None and len(args) > 0:
-                triangles = args[0]
-                from_args = True
-
-            if triangles is not None:
-                try:
-                    triangles = np.asarray(triangles, dtype=np.int32)
-                except ValueError:
-                    triangles = None
-
-            if triangles is not None and (triangles.ndim != 2 or
-                                          triangles.shape[1] != 3):
-                triangles = None
-
-            if triangles is not None and from_args:
-                args = args[1:]  # Consumed first item in args.
-
-            # Check for mask in kwargs.
-            mask = kwargs.pop('mask', None)
-
-            triangulation = Triangulation(x, y, triangles, mask)
-        return triangulation, args, kwargs
-
-    def get_trifinder(self):
-        """
-        Return the default :class:`matplotlib.tri.TriFinder` of this
-        triangulation, creating it if necessary.  This allows the same
-        TriFinder object to be easily shared.
-        """
-        if self._trifinder is None:
-            # Default TriFinder class.
-            from matplotlib.tri.trifinder import TrapezoidMapTriFinder
-            self._trifinder = TrapezoidMapTriFinder(self)
-        return self._trifinder
-
-    @property
-    def neighbors(self):
-        """
-        Return integer array of shape (ntri,3) containing neighbor
-        triangles.
-
-        For each triangle, the indices of the three triangles that
-        share the same edges, or -1 if there is no such neighboring
-        triangle.  neighbors[i,j] is the triangle that is the neighbor
-        to the edge from point index triangles[i,j] to point index
-        triangles[i,(j+1)%3].
-        """
-        if self._neighbors is None:
-            self._neighbors = self.get_cpp_triangulation().get_neighbors()
-        return self._neighbors
-
-    def set_mask(self, mask):
-        """
-        Set or clear the mask array.  This is either None, or a boolean
-        array of shape (ntri).
-        """
-        if mask is None:
-            self.mask = None
-        else:
-            self.mask = np.asarray(mask, dtype=np.bool)
-            if (len(self.mask.shape) != 1 or
-                    self.mask.shape[0] != self.triangles.shape[0]):
-                raise ValueError('mask array must have same length as '
-                                 'triangles array')
-
-        # Set mask in C++ Triangulation.
-        if self._cpp_triangulation is not None:
-            self._cpp_triangulation.set_mask(self.mask)
-
-        # Clear derived fields so they are recalculated when needed.
-        self._edges = None
-        self._neighbors = None
-
-        # Recalculate TriFinder if it exists.
-        if self._trifinder is not None:
-            self._trifinder._initialize()
diff --git a/lib/matplotlib/tri/tricontour.py b/lib/matplotlib/tri/tricontour.py
deleted file mode 100644
index 497d8ac400a3..000000000000
--- a/lib/matplotlib/tri/tricontour.py
+++ /dev/null
@@ -1,296 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib.contour import ContourSet
-from matplotlib.tri.triangulation import Triangulation
-import matplotlib._tri as _tri
-import numpy as np
-
-
-class TriContourSet(ContourSet):
-    """
-    Create and store a set of contour lines or filled regions for
-    a triangular grid.
-
-    User-callable method: clabel
-
-    Useful attributes:
-      ax:
-        the axes object in which the contours are drawn
-      collections:
-        a silent_list of LineCollections or PolyCollections
-      levels:
-        contour levels
-      layers:
-        same as levels for line contours; half-way between
-        levels for filled contours.  See _process_colors method.
-    """
-    def __init__(self, ax, *args, **kwargs):
-        """
-        Draw triangular grid contour lines or filled regions,
-        depending on whether keyword arg 'filled' is False
-        (default) or True.
-
-        The first argument of the initializer must be an axes
-        object.  The remaining arguments and keyword arguments
-        are described in TriContourSet.tricontour_doc.
-        """
-        ContourSet.__init__(self, ax, *args, **kwargs)
-
-    def _process_args(self, *args, **kwargs):
-        """
-        Process args and kwargs.
-        """
-        if isinstance(args[0], TriContourSet):
-            C = args[0].cppContourGenerator
-            if self.levels is None:
-                self.levels = args[0].levels
-        else:
-            tri, z = self._contour_args(args, kwargs)
-            C = _tri.TriContourGenerator(tri.get_cpp_triangulation(), z)
-            x0 = tri.x.min()
-            x1 = tri.x.max()
-            y0 = tri.y.min()
-            y1 = tri.y.max()
-            self.ax.update_datalim([(x0, y0), (x1, y1)])
-            self.ax.autoscale_view()
-
-        self.cppContourGenerator = C
-
-    def _get_allsegs_and_allkinds(self):
-        """
-        Create and return allsegs and allkinds by calling underlying C code.
-        """
-        allsegs = []
-        if self.filled:
-            lowers, uppers = self._get_lowers_and_uppers()
-            allkinds = []
-            for lower, upper in zip(lowers, uppers):
-                segs, kinds = self.cppContourGenerator.create_filled_contour(
-                    lower, upper)
-                allsegs.append([segs])
-                allkinds.append([kinds])
-        else:
-            allkinds = None
-            for level in self.levels:
-                segs = self.cppContourGenerator.create_contour(level)
-                allsegs.append(segs)
-        return allsegs, allkinds
-
-    def _contour_args(self, args, kwargs):
-        if self.filled:
-            fn = 'contourf'
-        else:
-            fn = 'contour'
-        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
-                                                                   **kwargs)
-        z = np.asarray(args[0])
-        if z.shape != tri.x.shape:
-            raise ValueError('z array must have same length as triangulation x'
-                             'and y arrays')
-        self.zmax = z.max()
-        self.zmin = z.min()
-        if self.logscale and self.zmin <= 0:
-            raise ValueError('Cannot %s log of negative values.' % fn)
-        self._contour_level_args(z, args[1:])
-        return (tri, z)
-
-    tricontour_doc = """
-        Draw contours on an unstructured triangular grid.
-        :func:`~matplotlib.pyplot.tricontour` and
-        :func:`~matplotlib.pyplot.tricontourf` draw contour lines and
-        filled contours, respectively.  Except as noted, function
-        signatures and return values are the same for both versions.
-
-        The triangulation can be specified in one of two ways; either::
-
-          tricontour(triangulation, ...)
-
-        where triangulation is a :class:`matplotlib.tri.Triangulation`
-        object, or
-
-        ::
-
-          tricontour(x, y, ...)
-          tricontour(x, y, triangles, ...)
-          tricontour(x, y, triangles=triangles, ...)
-          tricontour(x, y, mask=mask, ...)
-          tricontour(x, y, triangles, mask=mask, ...)
-
-        in which case a Triangulation object will be created.  See
-        :class:`~matplotlib.tri.Triangulation` for a explanation of
-        these possibilities.
-
-        The remaining arguments may be::
-
-          tricontour(..., Z)
-
-        where *Z* is the array of values to contour, one per point
-        in the triangulation.  The level values are chosen
-        automatically.
-
-        ::
-
-          tricontour(..., Z, N)
-
-        contour *N* automatically-chosen levels.
-
-        ::
-
-          tricontour(..., Z, V)
-
-        draw contour lines at the values specified in sequence *V*
-
-        ::
-
-          tricontourf(..., Z, V)
-
-        fill the (len(*V*)-1) regions between the values in *V*
-
-        ::
-
-          tricontour(Z, **kwargs)
-
-        Use keyword args to control colors, linewidth, origin, cmap ... see
-        below for more details.
-
-        ``C = tricontour(...)`` returns a
-        :class:`~matplotlib.contour.TriContourSet` object.
-
-        Optional keyword arguments:
-
-          *colors*: [ *None* | string | (mpl_colors) ]
-            If *None*, the colormap specified by cmap will be used.
-
-            If a string, like 'r' or 'red', all levels will be plotted in this
-            color.
-
-            If a tuple of matplotlib color args (string, float, rgb, etc),
-            different levels will be plotted in different colors in the order
-            specified.
-
-          *alpha*: float
-            The alpha blending value
-
-          *cmap*: [ *None* | Colormap ]
-            A cm :class:`~matplotlib.colors.Colormap` instance or
-            *None*. If *cmap* is *None* and *colors* is *None*, a
-            default Colormap is used.
-
-          *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` instance for
-            scaling data values to colors. If *norm* is *None* and
-            *colors* is *None*, the default linear scaling is used.
-
-          *levels* [level0, level1, ..., leveln]
-            A list of floating point numbers indicating the level
-            curves to draw; e.g., to draw just the zero contour pass
-            ``levels=[0]``
-
-          *origin*: [ *None* | 'upper' | 'lower' | 'image' ]
-            If *None*, the first value of *Z* will correspond to the
-            lower left corner, location (0,0). If 'image', the rc
-            value for ``image.origin`` will be used.
-
-            This keyword is not active if *X* and *Y* are specified in
-            the call to contour.
-
-          *extent*: [ *None* | (x0,x1,y0,y1) ]
-
-            If *origin* is not *None*, then *extent* is interpreted as
-            in :func:`matplotlib.pyplot.imshow`: it gives the outer
-            pixel boundaries. In this case, the position of Z[0,0]
-            is the center of the pixel, not a corner. If *origin* is
-            *None*, then (*x0*, *y0*) is the position of Z[0,0], and
-            (*x1*, *y1*) is the position of Z[-1,-1].
-
-            This keyword is not active if *X* and *Y* are specified in
-            the call to contour.
-
-          *locator*: [ *None* | ticker.Locator subclass ]
-            If *locator* is None, the default
-            :class:`~matplotlib.ticker.MaxNLocator` is used. The
-            locator is used to determine the contour levels if they
-            are not given explicitly via the *V* argument.
-
-          *extend*: [ 'neither' | 'both' | 'min' | 'max' ]
-            Unless this is 'neither', contour levels are automatically
-            added to one or both ends of the range so that all data
-            are included. These added ranges are then mapped to the
-            special colormap values which default to the ends of the
-            colormap range, but can be set via
-            :meth:`matplotlib.colors.Colormap.set_under` and
-            :meth:`matplotlib.colors.Colormap.set_over` methods.
-
-          *xunits*, *yunits*: [ *None* | registered units ]
-            Override axis units by specifying an instance of a
-            :class:`matplotlib.units.ConversionInterface`.
-
-
-        tricontour-only keyword arguments:
-
-          *linewidths*: [ *None* | number | tuple of numbers ]
-            If *linewidths* is *None*, the default width in
-            ``lines.linewidth`` in ``matplotlibrc`` is used.
-
-            If a number, all levels will be plotted with this linewidth.
-
-            If a tuple, different levels will be plotted with different
-            linewidths in the order specified
-
-          *linestyles*: [ *None* | 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
-            If *linestyles* is *None*, the 'solid' is used.
-
-            *linestyles* can also be an iterable of the above strings
-            specifying a set of linestyles to be used. If this
-            iterable is shorter than the number of contour levels
-            it will be repeated as necessary.
-
-            If contour is using a monochrome colormap and the contour
-            level is less than 0, then the linestyle specified
-            in ``contour.negative_linestyle`` in ``matplotlibrc``
-            will be used.
-
-        tricontourf-only keyword arguments:
-
-          *antialiased*: [ *True* | *False* ]
-            enable antialiasing
-
-          *nchunk*: [ 0 | integer ]
-            If 0, no subdivision of the domain. Specify a positive integer to
-            divide the domain into subdomains of roughly *nchunk* by *nchunk*
-            points. This may never actually be advantageous, so this option may
-            be removed. Chunking introduces artifacts at the chunk boundaries
-            unless *antialiased* is *False*.
-
-        Note: tricontourf fills intervals that are closed at the top; that
-        is, for boundaries *z1* and *z2*, the filled region is::
-
-            z1 < z <= z2
-
-        There is one exception: if the lowest boundary coincides with
-        the minimum value of the *z* array, then that minimum value
-        will be included in the lowest interval.
-
-        **Examples:**
-
-        .. plot:: mpl_examples/pylab_examples/tricontour_demo.py
-        """
-
-
-def tricontour(ax, *args, **kwargs):
-    if not ax._hold:
-        ax.cla()
-    kwargs['filled'] = False
-    return TriContourSet(ax, *args, **kwargs)
-tricontour.__doc__ = TriContourSet.tricontour_doc
-
-
-def tricontourf(ax, *args, **kwargs):
-    if not ax._hold:
-        ax.cla()
-    kwargs['filled'] = True
-    return TriContourSet(ax, *args, **kwargs)
-tricontourf.__doc__ = TriContourSet.tricontour_doc
diff --git a/lib/matplotlib/tri/trifinder.py b/lib/matplotlib/tri/trifinder.py
deleted file mode 100644
index 247d061ea1d0..000000000000
--- a/lib/matplotlib/tri/trifinder.py
+++ /dev/null
@@ -1,96 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib.tri import Triangulation
-import matplotlib._tri as _tri
-import numpy as np
-
-
-class TriFinder(object):
-    """
-    Abstract base class for classes used to find the triangles of a
-    Triangulation in which (x,y) points lie.
-
-    Rather than instantiate an object of a class derived from TriFinder, it is
-    usually better to use the function
-    :func:`matplotlib.tri.Triangulation.get_trifinder`.
-
-    Derived classes implement __call__(x,y) where x,y are array_like point
-    coordinates of the same shape.
-    """
-    def __init__(self, triangulation):
-        if not isinstance(triangulation, Triangulation):
-            raise ValueError('Expected a Triangulation object')
-        self._triangulation = triangulation
-
-
-class TrapezoidMapTriFinder(TriFinder):
-    """
-    :class:`~matplotlib.tri.TriFinder` class implemented using the trapezoid
-    map algorithm from the book "Computational Geometry, Algorithms and
-    Applications", second edition, by M. de Berg, M. van Kreveld, M. Overmars
-    and O. Schwarzkopf.
-
-    The triangulation must be valid, i.e. it must not have duplicate points,
-    triangles formed from colinear points, or overlapping triangles.  The
-    algorithm has some tolerance to triangles formed from colinear points, but
-    this should not be relied upon.
-    """
-    def __init__(self, triangulation):
-        TriFinder.__init__(self, triangulation)
-        self._cpp_trifinder = _tri.TrapezoidMapTriFinder(
-            triangulation.get_cpp_triangulation())
-        self._initialize()
-
-    def __call__(self, x, y):
-        """
-        Return an array containing the indices of the triangles in which the
-        specified x,y points lie, or -1 for points that do not lie within a
-        triangle.
-
-        *x*, *y* are array_like x and y coordinates of the same shape and any
-        number of dimensions.
-
-        Returns integer array with the same shape and *x* and *y*.
-        """
-        x = np.asarray(x, dtype=np.float64)
-        y = np.asarray(y, dtype=np.float64)
-        if x.shape != y.shape:
-            raise ValueError("x and y must be array-like with the same shape")
-
-        # C++ does the heavy lifting, and expects 1D arrays.
-        indices = self._cpp_trifinder.find_many(x.ravel(), y.ravel())
-        indices.shape = x.shape
-        return indices
-
-    def _get_tree_stats(self):
-        """
-        Return a python list containing the statistics about the node tree:
-            0: number of nodes (tree size)
-            1: number of unique nodes
-            2: number of trapezoids (tree leaf nodes)
-            3: number of unique trapezoids
-            4: maximum parent count (max number of times a node is repeated in
-                   tree)
-            5: maximum depth of tree (one more than the maximum number of
-                   comparisons needed to search through the tree)
-            6: mean of all trapezoid depths (one more than the average number
-                   of comparisons needed to search through the tree)
-        """
-        return self._cpp_trifinder.get_tree_stats()
-
-    def _initialize(self):
-        """
-        Initialize the underlying C++ object.  Can be called multiple times if,
-        for example, the triangulation is modified.
-        """
-        self._cpp_trifinder.initialize()
-
-    def _print_tree(self):
-        """
-        Print a text representation of the node tree, which is useful for
-        debugging purposes.
-        """
-        self._cpp_trifinder.print_tree()
diff --git a/lib/matplotlib/tri/triinterpolate.py b/lib/matplotlib/tri/triinterpolate.py
deleted file mode 100644
index 1e53e7dbf398..000000000000
--- a/lib/matplotlib/tri/triinterpolate.py
+++ /dev/null
@@ -1,1649 +0,0 @@
-"""
-Interpolation inside triangular grids.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange
-
-from matplotlib.tri import Triangulation
-from matplotlib.tri.trifinder import TriFinder
-from matplotlib.tri.tritools import TriAnalyzer
-import numpy as np
-import warnings
-
-__all__ = ('TriInterpolator', 'LinearTriInterpolator', 'CubicTriInterpolator')
-
-
-class TriInterpolator(object):
-    """
-    Abstract base class for classes used to perform interpolation on
-    triangular grids.
-
-    Derived classes implement the following methods:
-
-        - ``__call__(x, y)`` ,
-          where x, y are array_like point coordinates of the same shape, and
-          that returns a masked array of the same shape containing the
-          interpolated z-values.
-
-        - ``gradient(x, y)`` ,
-          where x, y are array_like point coordinates of the same
-          shape, and that returns a list of 2 masked arrays of the same shape
-          containing the 2 derivatives of the interpolator (derivatives of
-          interpolated z values with respect to x and y).
-
-    """
-    def __init__(self, triangulation, z, trifinder=None):
-        if not isinstance(triangulation, Triangulation):
-            raise ValueError("Expected a Triangulation object")
-        self._triangulation = triangulation
-
-        self._z = np.asarray(z)
-        if self._z.shape != self._triangulation.x.shape:
-            raise ValueError("z array must have same length as triangulation x"
-                             " and y arrays")
-
-        if trifinder is not None and not isinstance(trifinder, TriFinder):
-            raise ValueError("Expected a TriFinder object")
-        self._trifinder = trifinder or self._triangulation.get_trifinder()
-
-        # Default scaling factors : 1.0 (= no scaling)
-        # Scaling may be used for interpolations for which the order of
-        # magnitude of x, y has an impact on the interpolant definition.
-        # Please refer to :meth:`_interpolate_multikeys` for details.
-        self._unit_x = 1.0
-        self._unit_y = 1.0
-
-        # Default triangle renumbering: None (= no renumbering)
-        # Renumbering may be used to avoid unecessary computations
-        # if complex calculations are done inside the Interpolator.
-        # Please refer to :meth:`_interpolate_multikeys` for details.
-        self._tri_renum = None
-
-    # __call__ and gradient docstrings are shared by all subclasses
-    # (except, if needed, relevant additions).
-    # However these methods are only implemented in subclasses to avoid
-    # confusion in the documentation.
-    docstring__call__ = """
-        Returns a masked array containing interpolated values at the specified
-        x,y points.
-
-        Parameters
-        ----------
-        x, y : array-like
-            x and y coordinates of the same shape and any number of
-            dimensions.
-
-        Returns
-        -------
-        z : np.ma.array
-            Masked array of the same shape as *x* and *y* ; values
-            corresponding to (*x*, *y*) points outside of the triangulation
-            are masked out.
-
-        """
-
-    docstringgradient = """
-        Returns a list of 2 masked arrays containing interpolated derivatives
-        at the specified x,y points.
-
-        Parameters
-        ----------
-        x, y : array-like
-            x and y coordinates of the same shape and any number of
-            dimensions.
-
-        Returns
-        -------
-        dzdx, dzdy : np.ma.array
-            2  masked arrays of the same shape as *x* and *y* ; values
-            corresponding to (x,y) points outside of the triangulation
-            are masked out.
-            The first returned array contains the values of
-            :math:`\\frac{\\partial z}{\\partial x}` and the second those of
-            :math:`\\frac{\\partial z}{\\partial y}`.
-
-        """
-
-    def _interpolate_multikeys(self, x, y, tri_index=None,
-                               return_keys=('z',)):
-        """
-        Versatile (private) method defined for all TriInterpolators.
-
-        :meth:`_interpolate_multikeys` is a wrapper around method
-        :meth:`_interpolate_single_key` (to be defined in the child
-        subclasses).
-        :meth:`_interpolate_single_key actually performs the interpolation,
-        but only for 1-dimensional inputs and at valid locations (inside
-        unmasked triangles of the triangulation).
-
-        The purpose of :meth:`_interpolate_multikeys` is to implement the
-        following common tasks needed in all subclasses implementations:
-
-            - calculation of containing triangles
-            - dealing with more than one interpolation request at the same
-              location (e.g., if the 2 derivatives are requested, it is
-              unnecessary to compute the containing triangles twice)
-            - scaling according to self._unit_x, self._unit_y
-            - dealing with points outside of the grid (with fill value np.nan)
-            - dealing with multi-dimensionnal *x*, *y* arrays: flattening for
-              :meth:`_interpolate_params` call and final reshaping.
-
-        (Note that np.vectorize could do most of those things very well for
-        you, but it does it by function evaluations over successive tuples of
-        the input arrays. Therefore, this tends to be more time consuming than
-        using optimized numpy functions - e.g., np.dot - which can be used
-        easily on the flattened inputs, in the child-subclass methods
-        :meth:`_interpolate_single_key`.)
-
-        It is guaranteed that the calls to :meth:`_interpolate_single_key`
-        will be done with flattened (1-d) array_like input parameters `x`, `y`
-        and with flattened, valid `tri_index` arrays (no -1 index allowed).
-
-        Parameters
-        ----------
-        x, y : array_like
-            x and y coordinates indicating where interpolated values are
-            requested.
-        tri_index : integer array_like, optional
-            Array of the containing triangle indices, same shape as
-            *x* and *y*. Defaults to None. If None, these indices
-            will be computed by a TriFinder instance.
-            (Note: For point outside the grid, tri_index[ipt] shall be -1).
-        return_keys : tuple of keys from {'z', 'dzdx', 'dzdy'}
-            Defines the interpolation arrays to return, and in which order.
-
-        Returns
-        -------
-        ret : list of arrays
-            Each array-like contains the expected interpolated values in the
-            order defined by *return_keys* parameter.
-        """
-        # Flattening and rescaling inputs arrays x, y
-        # (initial shape is stored for output)
-        x = np.asarray(x, dtype=np.float64)
-        y = np.asarray(y, dtype=np.float64)
-        sh_ret = x.shape
-        if (x.shape != y.shape):
-            raise ValueError("x and y shall have same shapes."
-                             " Given: {0} and {1}".format(x.shape, y.shape))
-        x = np.ravel(x)
-        y = np.ravel(y)
-        x_scaled = x/self._unit_x
-        y_scaled = y/self._unit_y
-        size_ret = np.size(x_scaled)
-
-        # Computes & ravels the element indexes, extract the valid ones.
-        if tri_index is None:
-            tri_index = self._trifinder(x, y)
-        else:
-            if (tri_index.shape != sh_ret):
-                raise ValueError(
-                    "tri_index array is provided and shall"
-                    " have same shape as x and y. Given: "
-                    "{0} and {1}".format(tri_index.shape, sh_ret))
-            tri_index = np.ravel(tri_index)
-
-        mask_in = (tri_index != -1)
-        if self._tri_renum is None:
-            valid_tri_index = tri_index[mask_in]
-        else:
-            valid_tri_index = self._tri_renum[tri_index[mask_in]]
-        valid_x = x_scaled[mask_in]
-        valid_y = y_scaled[mask_in]
-
-        ret = []
-        for return_key in return_keys:
-            # Find the return index associated with the key.
-            try:
-                return_index = {'z': 0, 'dzdx': 1, 'dzdy': 2}[return_key]
-            except KeyError:
-                raise ValueError("return_keys items shall take values in"
-                                 " {'z', 'dzdx', 'dzdy'}")
-
-            # Sets the scale factor for f & df components
-            scale = [1., 1./self._unit_x, 1./self._unit_y][return_index]
-
-            # Computes the interpolation
-            ret_loc = np.empty(size_ret, dtype=np.float64)
-            ret_loc[~mask_in] = np.nan
-            ret_loc[mask_in] = self._interpolate_single_key(
-                return_key, valid_tri_index, valid_x, valid_y) * scale
-            ret += [np.ma.masked_invalid(ret_loc.reshape(sh_ret), copy=False)]
-
-        return ret
-
-    def _interpolate_single_key(self, return_key, tri_index, x, y):
-        """
-        Performs the interpolation at points belonging to the triangulation
-        (inside an unmasked triangles).
-
-        Parameters
-        ----------
-        return_index : string key from {'z', 'dzdx', 'dzdy'}
-            Identifies the requested values (z or its derivatives)
-        tri_index : 1d integer array
-            Valid triangle index (-1 prohibited)
-        x, y : 1d arrays, same shape as `tri_index`
-            Valid locations where interpolation is requested.
-
-        Returns
-        -------
-        ret : 1-d array
-            Returned array of the same size as *tri_index*
-        """
-        raise NotImplementedError("TriInterpolator subclasses" +
-                                  "should implement _interpolate_single_key!")
-
-
-class LinearTriInterpolator(TriInterpolator):
-    """
-    A LinearTriInterpolator performs linear interpolation on a triangular grid.
-
-    Each triangle is represented by a plane so that an interpolated value at
-    point (x,y) lies on the plane of the triangle containing (x,y).
-    Interpolated values are therefore continuous across the triangulation, but
-    their first derivatives are discontinuous at edges between triangles.
-
-    Parameters
-    ----------
-    triangulation : :class:`~matplotlib.tri.Triangulation` object
-        The triangulation to interpolate over.
-    z : array_like of shape (npoints,)
-        Array of values, defined at grid points, to interpolate between.
-    trifinder : :class:`~matplotlib.tri.TriFinder` object, optional
-          If this is not specified, the Triangulation's default TriFinder will
-          be used by calling
-          :func:`matplotlib.tri.Triangulation.get_trifinder`.
-
-    Methods
-    -------
-    `__call__` (x, y) :  Returns interpolated values at x,y points
-    `gradient` (x, y) : Returns interpolated derivatives at x,y points
-
-    """
-    def __init__(self, triangulation, z, trifinder=None):
-        TriInterpolator.__init__(self, triangulation, z, trifinder)
-
-        # Store plane coefficients for fast interpolation calculations.
-        self._plane_coefficients = \
-            self._triangulation.calculate_plane_coefficients(self._z)
-
-    def __call__(self, x, y):
-        return self._interpolate_multikeys(x, y, tri_index=None,
-                                           return_keys=('z',))[0]
-    __call__.__doc__ = TriInterpolator.docstring__call__
-
-    def gradient(self, x, y):
-        return self._interpolate_multikeys(x, y, tri_index=None,
-                                           return_keys=('dzdx', 'dzdy'))
-    gradient.__doc__ = TriInterpolator.docstringgradient
-
-    def _interpolate_single_key(self, return_key, tri_index, x, y):
-        if return_key == 'z':
-            return (self._plane_coefficients[tri_index, 0]*x +
-                    self._plane_coefficients[tri_index, 1]*y +
-                    self._plane_coefficients[tri_index, 2])
-        elif return_key == 'dzdx':
-            return self._plane_coefficients[tri_index, 0]
-        elif return_key == 'dzdy':
-            return self._plane_coefficients[tri_index, 1]
-        else:
-            raise ValueError("Invalid return_key: " + return_key)
-
-
-class CubicTriInterpolator(TriInterpolator):
-    """
-    A CubicTriInterpolator performs cubic interpolation on triangular grids.
-
-    In one-dimension - on a segment - a cubic interpolating function is
-    defined by the values of the function and its derivative at both ends.
-    This is almost the same in 2-d inside a triangle, except that the values
-    of the function and its 2 derivatives have to be defined at each triangle
-    node.
-
-    The CubicTriInterpolator takes the value of the function at each node -
-    provided by the user - and internally computes the value of the
-    derivatives, resulting in a smooth interpolation.
-    (As a special feature, the user can also impose the value of the
-    derivatives at each node, but this is not supposed to be the common
-    usage.)
-
-    Parameters
-    ----------
-    triangulation : :class:`~matplotlib.tri.Triangulation` object
-        The triangulation to interpolate over.
-    z : array_like of shape (npoints,)
-        Array of values, defined at grid points, to interpolate between.
-    kind : {'min_E', 'geom', 'user'}, optional
-        Choice of the smoothing algorithm, in order to compute
-        the interpolant derivatives (defaults to 'min_E'):
-
-            - if 'min_E': (default) The derivatives at each node is computed
-              to minimize a bending energy.
-            - if 'geom': The derivatives at each node is computed as a
-              weighted average of relevant triangle normals. To be used for
-              speed optimization (large grids).
-            - if 'user': The user provides the argument `dz`, no computation
-              is hence needed.
-
-    trifinder : :class:`~matplotlib.tri.TriFinder` object, optional
-        If not specified, the Triangulation's default TriFinder will
-        be used by calling
-        :func:`matplotlib.tri.Triangulation.get_trifinder`.
-    dz : tuple of array_likes (dzdx, dzdy), optional
-        Used only if  *kind* ='user'. In this case *dz* must be provided as
-        (dzdx, dzdy) where dzdx, dzdy are arrays of the same shape as *z* and
-        are the interpolant first derivatives at the *triangulation* points.
-
-    Methods
-    -------
-    `__call__` (x, y) :  Returns interpolated values at x,y points
-    `gradient` (x, y) : Returns interpolated derivatives at x,y points
-
-    Notes
-    -----
-    This note is a bit technical and details the way a
-    :class:`~matplotlib.tri.CubicTriInterpolator` computes a cubic
-    interpolation.
-
-    The interpolation is based on a Clough-Tocher subdivision scheme of
-    the *triangulation* mesh (to make it clearer, each triangle of the
-    grid will be divided in 3 child-triangles, and on each child triangle
-    the interpolated function is a cubic polynomial of the 2 coordinates).
-    This technique originates from FEM (Finite Element Method) analysis;
-    the element used is a reduced Hsieh-Clough-Tocher (HCT)
-    element. Its shape functions are described in [1]_.
-    The assembled function is guaranteed to be C1-smooth, i.e. it is
-    continuous and its first derivatives are also continuous (this
-    is easy to show inside the triangles but is also true when crossing the
-    edges).
-
-    In the default case (*kind* ='min_E'), the interpolant minimizes a
-    curvature energy on the functional space generated by the HCT element
-    shape functions - with imposed values but arbitrary derivatives at each
-    node. The minimized functional is the integral of the so-called total
-    curvature (implementation based on an algorithm from [2]_ - PCG sparse
-    solver):
-
-        .. math::
-
-            E(z) = \\ \\frac{1}{2} \\int_{\\Omega}   \\left(
-            \\left( \\frac{\\partial^2{z}}{\\partial{x}^2} \\right)^2 +
-            \\left( \\frac{\\partial^2{z}}{\\partial{y}^2} \\right)^2 +
-            2\\left( \\frac{\\partial^2{z}}{\\partial{y}\\partial{x}}
-            \\right)^2 \\right)  dx\\,dy
-
-    If the case *kind* ='geom' is chosen by the user, a simple geometric
-    approximation is used (weighted average of the triangle normal
-    vectors), which could improve speed on very large grids.
-
-    References
-    ----------
-    .. [1] Michel Bernadou, Kamal Hassan, "Basis functions for general
-        Hsieh-Clough-Tocher triangles, complete or reduced.",
-        International Journal for Numerical Methods in Engineering,
-        17(5):784 - 789. 2.01.
-    .. [2] C.T. Kelley, "Iterative Methods for Optimization".
-
-    """
-    def __init__(self, triangulation, z, kind='min_E', trifinder=None,
-                 dz=None):
-        TriInterpolator.__init__(self, triangulation, z, trifinder)
-
-        # Loads the underlying c++ _triangulation.
-        # (During loading, reordering of triangulation._triangles may occur so
-        # that all final triangles are now anti-clockwise)
-        self._triangulation.get_cpp_triangulation()
-
-        # To build the stiffness matrix and avoid zero-energy spurious modes
-        # we will only store internally the valid (unmasked) triangles and
-        # the necessary (used) points coordinates.
-        # 2 renumbering tables need to be computed and stored:
-        #  - a triangle renum table in order to translate the result from a
-        #    TriFinder instance into the internal stored triangle number.
-        #  - a node renum table to overwrite the self._z values into the new
-        #    (used) node numbering.
-        tri_analyzer = TriAnalyzer(self._triangulation)
-        (compressed_triangles, compressed_x, compressed_y, tri_renum,
-         node_renum) = tri_analyzer._get_compressed_triangulation(True, True)
-        self._triangles = compressed_triangles
-        self._tri_renum = tri_renum
-        # Taking into account the node renumbering in self._z:
-        node_mask = (node_renum == -1)
-        self._z[node_renum[~node_mask]] = self._z
-        self._z = self._z[~node_mask]
-
-        # Computing scale factors
-        self._unit_x = np.max(compressed_x) - np.min(compressed_x)
-        self._unit_y = np.max(compressed_y) - np.min(compressed_y)
-        self._pts = np.vstack((compressed_x/float(self._unit_x),
-                               compressed_y/float(self._unit_y))).T
-        # Computing triangle points
-        self._tris_pts = self._pts[self._triangles]
-        # Computing eccentricities
-        self._eccs = self._compute_tri_eccentricities(self._tris_pts)
-        # Computing dof estimations for HCT triangle shape function
-        self._dof = self._compute_dof(kind, dz=dz)
-        # Loading HCT element
-        self._ReferenceElement = _ReducedHCT_Element()
-
-    def __call__(self, x, y):
-        return self._interpolate_multikeys(x, y, tri_index=None,
-                                           return_keys=('z',))[0]
-    __call__.__doc__ = TriInterpolator.docstring__call__
-
-    def gradient(self, x, y):
-        return self._interpolate_multikeys(x, y, tri_index=None,
-                                           return_keys=('dzdx', 'dzdy'))
-    gradient.__doc__ = TriInterpolator.docstringgradient + """
-
-        Examples
-        --------
-        An example of effective application is shown below (plot of the
-        direction of the vector field derivated from a known potential field):
-
-        .. plot:: mpl_examples/pylab_examples/trigradient_demo.py
-
-        """
-
-    def _interpolate_single_key(self, return_key, tri_index, x, y):
-        tris_pts = self._tris_pts[tri_index]
-        alpha = self._get_alpha_vec(x, y, tris_pts)
-        ecc = self._eccs[tri_index]
-        dof = np.expand_dims(self._dof[tri_index], axis=1)
-        if return_key == 'z':
-            return self._ReferenceElement.get_function_values(
-                alpha, ecc, dof)
-        elif return_key in ['dzdx', 'dzdy']:
-            J = self._get_jacobian(tris_pts)
-            dzdx = self._ReferenceElement.get_function_derivatives(
-                alpha, J, ecc, dof)
-            if return_key == 'dzdx':
-                return dzdx[:, 0, 0]
-            else:
-                return dzdx[:, 1, 0]
-        else:
-            raise ValueError("Invalid return_key: " + return_key)
-
-    def _compute_dof(self, kind, dz=None):
-        """
-        Computes and returns nodal dofs according to kind
-
-        Parameters
-        ----------
-        kind: {'min_E', 'geom', 'user'}
-            Choice of the _DOF_estimator subclass to perform the gradient
-            estimation.
-        dz: tuple of array_likes (dzdx, dzdy), optional
-            Used only if *kind=user ; in this case passed to the
-            :class:`_DOF_estimator_user`.
-
-        Returns
-        -------
-        dof : array_like, shape (npts,2)
-              Estimation of the gradient at triangulation nodes (stored as
-              degree of freedoms of reduced-HCT triangle elements).
-        """
-        if kind == 'user':
-            if dz is None:
-                raise ValueError("For a CubicTriInterpolator with "
-                                 "*kind*='user', a valid *dz* "
-                                 "argument is expected.")
-            TE = _DOF_estimator_user(self, dz=dz)
-        elif kind == 'geom':
-            TE = _DOF_estimator_geom(self)
-        elif kind == 'min_E':
-            TE = _DOF_estimator_min_E(self)
-        else:
-            raise ValueError("CubicTriInterpolator *kind* proposed: {0} ; "
-                             "should be one of: "
-                             "'user', 'geom', 'min_E'".format(kind))
-        return TE.compute_dof_from_df()
-
-    @staticmethod
-    def _get_alpha_vec(x, y, tris_pts):
-        """
-        Fast (vectorized) function to compute barycentric coordinates alpha.
-
-        Parameters
-        ----------
-        x, y : array-like of dim 1 (shape (nx,))
-                  Coordinates of the points whose points barycentric
-                  coordinates are requested
-        tris_pts : array like of dim 3 (shape: (nx,3,2))
-                    Coordinates of the containing triangles apexes.
-
-        Returns
-        -------
-        alpha : array of dim 2 (shape (nx,3))
-                 Barycentric coordinates of the points inside the containing
-                 triangles.
-        """
-        ndim = tris_pts.ndim-2
-
-        a = tris_pts[:, 1, :] - tris_pts[:, 0, :]
-        b = tris_pts[:, 2, :] - tris_pts[:, 0, :]
-        abT = np.concatenate([np.expand_dims(a, ndim+1),
-                              np.expand_dims(b, ndim+1)], ndim+1)
-        ab = _transpose_vectorized(abT)
-        x = np.expand_dims(x, ndim)
-        y = np.expand_dims(y, ndim)
-        OM = np.concatenate([x, y], ndim) - tris_pts[:, 0, :]
-
-        metric = _prod_vectorized(ab, abT)
-        # Here we try to deal with the colinear cases.
-        # metric_inv is in this case set to the Moore-Penrose pseudo-inverse
-        # meaning that we will still return a set of valid barycentric
-        # coordinates.
-        metric_inv = _pseudo_inv22sym_vectorized(metric)
-        Covar = _prod_vectorized(ab, _transpose_vectorized(
-            np.expand_dims(OM, ndim)))
-        ksi = _prod_vectorized(metric_inv, Covar)
-        alpha = _to_matrix_vectorized([
-            [1-ksi[:, 0, 0]-ksi[:, 1, 0]], [ksi[:, 0, 0]], [ksi[:, 1, 0]]])
-        return alpha
-
-    @staticmethod
-    def _get_jacobian(tris_pts):
-        """
-        Fast (vectorized) function to compute triangle jacobian matrix.
-
-        Parameters
-        ----------
-        tris_pts : array like of dim 3 (shape: (nx,3,2))
-                    Coordinates of the containing triangles apexes.
-
-        Returns
-        -------
-        J : array of dim 3 (shape (nx,2,2))
-                 Barycentric coordinates of the points inside the containing
-                 triangles.
-                 J[itri,:,:] is the jacobian matrix at apex 0 of the triangle
-                 itri, so that the following (matrix) relationship holds:
-                    [dz/dksi] = [J] x [dz/dx]
-                    with x: global coordinates
-                    ksi: element parametric coordinates in triangle first apex
-                    local basis.
-        """
-        a = np.array(tris_pts[:, 1, :] - tris_pts[:, 0, :])
-        b = np.array(tris_pts[:, 2, :] - tris_pts[:, 0, :])
-        J = _to_matrix_vectorized([[a[:, 0], a[:, 1]],
-                                   [b[:, 0], b[:, 1]]])
-        return J
-
-    @staticmethod
-    def _compute_tri_eccentricities(tris_pts):
-        """
-        Computes triangle eccentricities
-
-        Parameters
-        ----------
-        tris_pts : array like of dim 3 (shape: (nx,3,2))
-                   Coordinates of the triangles apexes.
-
-        Returns
-        -------
-        ecc : array like of dim 2 (shape: (nx,3))
-              The so-called eccentricity parameters [1] needed for
-              HCT triangular element.
-        """
-        a = np.expand_dims(tris_pts[:, 2, :]-tris_pts[:, 1, :], axis=2)
-        b = np.expand_dims(tris_pts[:, 0, :]-tris_pts[:, 2, :], axis=2)
-        c = np.expand_dims(tris_pts[:, 1, :]-tris_pts[:, 0, :], axis=2)
-        # Do not use np.squeeze, this is dangerous if only one triangle
-        # in the triangulation...
-        dot_a = _prod_vectorized(_transpose_vectorized(a), a)[:, 0, 0]
-        dot_b = _prod_vectorized(_transpose_vectorized(b), b)[:, 0, 0]
-        dot_c = _prod_vectorized(_transpose_vectorized(c), c)[:, 0, 0]
-        # Note that this line will raise a warning for dot_a, dot_b or dot_c
-        # zeros, but we choose not to support triangles with duplicate points.
-        return _to_matrix_vectorized([[(dot_c-dot_b) / dot_a],
-                                      [(dot_a-dot_c) / dot_b],
-                                      [(dot_b-dot_a) / dot_c]])
-
-
-# FEM element used for interpolation and for solving minimisation
-# problem (Reduced HCT element)
-class _ReducedHCT_Element():
-    """
-    Implementation of reduced HCT triangular element with explicit shape
-    functions.
-
-    Computes z, dz, d2z and the element stiffness matrix for bending energy:
-    E(f) = integral( (d2z/dx2 + d2z/dy2)**2 dA)
-
-    *** Reference for the shape functions: ***
-    [1] Basis functions for general Hsieh-Clough-Tocher _triangles, complete or
-        reduced.
-        Michel Bernadou, Kamal Hassan
-        International Journal for Numerical Methods in Engineering.
-        17(5):784 - 789.  2.01
-
-    *** Element description: ***
-    9 dofs: z and dz given at 3 apex
-    C1 (conform)
-
-    """
-    # 1) Loads matrices to generate shape functions as a function of
-    #    triangle eccentricities - based on [1] p.11 '''
-    M = np.array([
-        [ 0.00, 0.00, 0.00,  4.50,  4.50, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [-0.25, 0.00, 0.00,  0.50,  1.25, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [-0.25, 0.00, 0.00,  1.25,  0.50, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.50, 1.00, 0.00, -1.50,  0.00, 3.00, 3.00, 0.00, 0.00, 3.00],
-        [ 0.00, 0.00, 0.00, -0.25,  0.25, 0.00, 1.00, 0.00, 0.00, 0.50],
-        [ 0.25, 0.00, 0.00, -0.50, -0.25, 1.00, 0.00, 0.00, 0.00, 1.00],
-        [ 0.50, 0.00, 1.00,  0.00, -1.50, 0.00, 0.00, 3.00, 3.00, 3.00],
-        [ 0.25, 0.00, 0.00, -0.25, -0.50, 0.00, 0.00, 0.00, 1.00, 1.00],
-        [ 0.00, 0.00, 0.00,  0.25, -0.25, 0.00, 0.00, 1.00, 0.00, 0.50]])
-    M0 = np.array([
-        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
-        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
-        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
-        [-1.00, 0.00, 0.00,  1.50,  1.50, 0.00, 0.00, 0.00, 0.00, -3.00],
-        [-0.50, 0.00, 0.00,  0.75,  0.75, 0.00, 0.00, 0.00, 0.00, -1.50],
-        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
-        [ 1.00, 0.00, 0.00, -1.50, -1.50, 0.00, 0.00, 0.00, 0.00,  3.00],
-        [ 0.00, 0.00, 0.00,  0.00,  0.00, 0.00, 0.00, 0.00, 0.00,  0.00],
-        [ 0.50, 0.00, 0.00, -0.75, -0.75, 0.00, 0.00, 0.00, 0.00,  1.50]])
-    M1 = np.array([
-        [-0.50, 0.00, 0.00,  1.50, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [-0.25, 0.00, 0.00,  0.75, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.50, 0.00, 0.00, -1.50, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.25, 0.00, 0.00, -0.75, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00]])
-    M2 = np.array([
-        [ 0.50, 0.00, 0.00, 0.00, -1.50, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.25, 0.00, 0.00, 0.00, -0.75, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [-0.50, 0.00, 0.00, 0.00,  1.50, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [-0.25, 0.00, 0.00, 0.00,  0.75, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00],
-        [ 0.00, 0.00, 0.00, 0.00,  0.00, 0.00, 0.00, 0.00, 0.00, 0.00]])
-
-    # 2) Loads matrices to rotate components of gradient & Hessian
-    #    vectors in the reference basis of triangle first apex (a0)
-    rotate_dV = np.array([[ 1.,  0.], [ 0.,  1.],
-                          [ 0.,  1.], [-1., -1.],
-                          [-1., -1.], [ 1.,  0.]])
-
-    rotate_d2V = np.array([[1., 0., 0.], [0., 1., 0.], [ 0.,  0.,  1.],
-                           [0., 1., 0.], [1., 1., 1.], [ 0., -2., -1.],
-                           [1., 1., 1.], [1., 0., 0.], [-2.,  0., -1.]])
-
-    # 3) Loads Gauss points & weights on the 3 sub-_triangles for P2
-    #    exact integral - 3 points on each subtriangles.
-    # NOTE: as the 2nd derivative is discontinuous , we really need those 9
-    # points!
-    n_gauss = 9
-    gauss_pts = np.array([[13./18.,  4./18.,  1./18.],
-                          [ 4./18., 13./18.,  1./18.],
-                          [ 7./18.,  7./18.,  4./18.],
-                          [ 1./18., 13./18.,  4./18.],
-                          [ 1./18.,  4./18., 13./18.],
-                          [ 4./18.,  7./18.,  7./18.],
-                          [ 4./18.,  1./18., 13./18.],
-                          [13./18.,  1./18.,  4./18.],
-                          [ 7./18.,  4./18.,  7./18.]], dtype=np.float64)
-    gauss_w = np.ones([9], dtype=np.float64) / 9.
-
-    #  4) Stiffness matrix for curvature energy
-    E = np.array([[1., 0., 0.], [0., 1., 0.], [0., 0., 2.]])
-
-    #  5) Loads the matrix to compute DOF_rot from tri_J at apex 0
-    J0_to_J1 = np.array([[-1.,  1.], [-1.,  0.]])
-    J0_to_J2 = np.array([[ 0., -1.], [ 1., -1.]])
-
-    def get_function_values(self, alpha, ecc, dofs):
-        """
-        Parameters
-        ----------
-        alpha : is a (N x 3 x 1) array (array of column-matrices) of
-        barycentric coordinates,
-        ecc : is a (N x 3 x 1) array (array of column-matrices) of triangle
-        eccentricities,
-        dofs : is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
-        degrees of freedom.
-
-        Returns
-        -------
-        Returns the N-array of interpolated function values.
-        """
-        subtri = np.argmin(alpha, axis=1)[:, 0]
-        ksi = _roll_vectorized(alpha, -subtri, axis=0)
-        E = _roll_vectorized(ecc, -subtri, axis=0)
-        x = ksi[:, 0, 0]
-        y = ksi[:, 1, 0]
-        z = ksi[:, 2, 0]
-        x_sq = x*x
-        y_sq = y*y
-        z_sq = z*z
-        V = _to_matrix_vectorized([
-            [x_sq*x], [y_sq*y], [z_sq*z], [x_sq*z], [x_sq*y], [y_sq*x],
-            [y_sq*z], [z_sq*y], [z_sq*x], [x*y*z]])
-        prod = _prod_vectorized(self.M, V)
-        prod += _scalar_vectorized(E[:, 0, 0],
-                                   _prod_vectorized(self.M0, V))
-        prod += _scalar_vectorized(E[:, 1, 0],
-                                   _prod_vectorized(self.M1, V))
-        prod += _scalar_vectorized(E[:, 2, 0],
-                                   _prod_vectorized(self.M2, V))
-        s = _roll_vectorized(prod, 3*subtri, axis=0)
-        return _prod_vectorized(dofs, s)[:, 0, 0]
-
-    def get_function_derivatives(self, alpha, J, ecc, dofs):
-        """
-        Parameters
-        ----------
-        *alpha* is a (N x 3 x 1) array (array of column-matrices of
-        barycentric coordinates)
-        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
-        triangle first apex)
-        *ecc* is a (N x 3 x 1) array (array of column-matrices of triangle
-        eccentricities)
-        *dofs* is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
-        degrees of freedom.
-
-        Returns
-        -------
-        Returns the values of interpolated function derivatives [dz/dx, dz/dy]
-        in global coordinates at locations alpha, as a column-matrices of
-        shape (N x 2 x 1).
-        """
-        subtri = np.argmin(alpha, axis=1)[:, 0]
-        ksi = _roll_vectorized(alpha, -subtri, axis=0)
-        E = _roll_vectorized(ecc, -subtri, axis=0)
-        x = ksi[:, 0, 0]
-        y = ksi[:, 1, 0]
-        z = ksi[:, 2, 0]
-        x_sq = x*x
-        y_sq = y*y
-        z_sq = z*z
-        dV = _to_matrix_vectorized([
-            [    -3.*x_sq,     -3.*x_sq],
-            [     3.*y_sq,           0.],
-            [          0.,      3.*z_sq],
-            [     -2.*x*z, -2.*x*z+x_sq],
-            [-2.*x*y+x_sq,      -2.*x*y],
-            [ 2.*x*y-y_sq,        -y_sq],
-            [      2.*y*z,         y_sq],
-            [        z_sq,       2.*y*z],
-            [       -z_sq,  2.*x*z-z_sq],
-            [     x*z-y*z,      x*y-y*z]])
-        # Puts back dV in first apex basis
-        dV = _prod_vectorized(dV, _extract_submatrices(
-            self.rotate_dV, subtri, block_size=2, axis=0))
-
-        prod = _prod_vectorized(self.M, dV)
-        prod += _scalar_vectorized(E[:, 0, 0],
-                                   _prod_vectorized(self.M0, dV))
-        prod += _scalar_vectorized(E[:, 1, 0],
-                                   _prod_vectorized(self.M1, dV))
-        prod += _scalar_vectorized(E[:, 2, 0],
-                                   _prod_vectorized(self.M2, dV))
-        dsdksi = _roll_vectorized(prod, 3*subtri, axis=0)
-        dfdksi = _prod_vectorized(dofs, dsdksi)
-        # In global coordinates:
-        # Here we try to deal with the simpliest colinear cases, returning a
-        # null matrix.
-        J_inv = _safe_inv22_vectorized(J)
-        dfdx = _prod_vectorized(J_inv, _transpose_vectorized(dfdksi))
-        return dfdx
-
-    def get_function_hessians(self, alpha, J, ecc, dofs):
-        """
-        Parameters
-        ----------
-        *alpha* is a (N x 3 x 1) array (array of column-matrices) of
-        barycentric coordinates
-        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
-        triangle first apex)
-        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
-        eccentricities
-        *dofs* is a (N x 1 x 9) arrays (arrays of row-matrices) of computed
-        degrees of freedom.
-
-        Returns
-        -------
-        Returns the values of interpolated function 2nd-derivatives
-        [d2z/dx2, d2z/dy2, d2z/dxdy] in global coordinates at locations alpha,
-        as a column-matrices of shape (N x 3 x 1).
-        """
-        d2sdksi2 = self.get_d2Sidksij2(alpha, ecc)
-        d2fdksi2 = _prod_vectorized(dofs, d2sdksi2)
-        H_rot = self.get_Hrot_from_J(J)
-        d2fdx2 = _prod_vectorized(d2fdksi2, H_rot)
-        return _transpose_vectorized(d2fdx2)
-
-    def get_d2Sidksij2(self, alpha, ecc):
-        """
-        Parameters
-        ----------
-        *alpha* is a (N x 3 x 1) array (array of column-matrices) of
-        barycentric coordinates
-        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
-        eccentricities
-
-        Returns
-        -------
-        Returns the arrays d2sdksi2 (N x 3 x 1) Hessian of shape functions
-        expressed in covariante coordinates in first apex basis.
-        """
-        subtri = np.argmin(alpha, axis=1)[:, 0]
-        ksi = _roll_vectorized(alpha, -subtri, axis=0)
-        E = _roll_vectorized(ecc, -subtri, axis=0)
-        x = ksi[:, 0, 0]
-        y = ksi[:, 1, 0]
-        z = ksi[:, 2, 0]
-        d2V = _to_matrix_vectorized([
-            [     6.*x,      6.*x,      6.*x],
-            [     6.*y,        0.,        0.],
-            [       0.,      6.*z,        0.],
-            [     2.*z, 2.*z-4.*x, 2.*z-2.*x],
-            [2.*y-4.*x,      2.*y, 2.*y-2.*x],
-            [2.*x-4.*y,        0.,     -2.*y],
-            [     2.*z,        0.,      2.*y],
-            [       0.,      2.*y,      2.*z],
-            [       0., 2.*x-4.*z,     -2.*z],
-            [    -2.*z,     -2.*y,     x-y-z]])
-        # Puts back d2V in first apex basis
-        d2V = _prod_vectorized(d2V, _extract_submatrices(
-            self.rotate_d2V, subtri, block_size=3, axis=0))
-        prod = _prod_vectorized(self.M, d2V)
-        prod += _scalar_vectorized(E[:, 0, 0],
-                                   _prod_vectorized(self.M0, d2V))
-        prod += _scalar_vectorized(E[:, 1, 0],
-                                   _prod_vectorized(self.M1, d2V))
-        prod += _scalar_vectorized(E[:, 2, 0],
-                                   _prod_vectorized(self.M2, d2V))
-        d2sdksi2 = _roll_vectorized(prod, 3*subtri, axis=0)
-        return d2sdksi2
-
-    def get_bending_matrices(self, J, ecc):
-        """
-        Parameters
-        ----------
-        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
-        triangle first apex)
-        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
-        eccentricities
-
-        Returns
-        -------
-        Returns the element K matrices for bending energy expressed in
-        GLOBAL nodal coordinates.
-        K_ij = integral [ (d2zi/dx2 + d2zi/dy2) * (d2zj/dx2 + d2zj/dy2) dA]
-        tri_J is needed to rotate dofs from local basis to global basis
-        """
-        n = np.size(ecc, 0)
-
-        # 1) matrix to rotate dofs in global coordinates
-        J1 = _prod_vectorized(self.J0_to_J1, J)
-        J2 = _prod_vectorized(self.J0_to_J2, J)
-        DOF_rot = np.zeros([n, 9, 9], dtype=np.float64)
-        DOF_rot[:, 0, 0] = 1
-        DOF_rot[:, 3, 3] = 1
-        DOF_rot[:, 6, 6] = 1
-        DOF_rot[:, 1:3, 1:3] = J
-        DOF_rot[:, 4:6, 4:6] = J1
-        DOF_rot[:, 7:9, 7:9] = J2
-
-        # 2) matrix to rotate Hessian in global coordinates.
-        H_rot, area = self.get_Hrot_from_J(J, return_area=True)
-
-        # 3) Computes stiffness matrix
-        # Gauss quadrature.
-        K = np.zeros([n, 9, 9], dtype=np.float64)
-        weights = self.gauss_w
-        pts = self.gauss_pts
-        for igauss in range(self.n_gauss):
-            alpha = np.tile(pts[igauss, :], n).reshape(n, 3)
-            alpha = np.expand_dims(alpha, 3)
-            weight = weights[igauss]
-            d2Skdksi2 = self.get_d2Sidksij2(alpha, ecc)
-            d2Skdx2 = _prod_vectorized(d2Skdksi2, H_rot)
-            K += weight * _prod_vectorized(_prod_vectorized(d2Skdx2, self.E),
-                                           _transpose_vectorized(d2Skdx2))
-
-        # 4) With nodal (not elem) dofs
-        K = _prod_vectorized(_prod_vectorized(_transpose_vectorized(DOF_rot),
-                                              K), DOF_rot)
-
-        # 5) Need the area to compute total element energy
-        return _scalar_vectorized(area, K)
-
-    def get_Hrot_from_J(self, J, return_area=False):
-        """
-        Parameters
-        ----------
-        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
-        triangle first apex)
-
-        Returns
-        -------
-        Returns H_rot used to rotate Hessian from local basis of first apex,
-        to global coordinates.
-        if *return_area* is True, returns also the triangle area (0.5*det(J))
-        """
-        # Here we try to deal with the simpliest colinear cases ; a null
-        # energy and area is imposed.
-        J_inv = _safe_inv22_vectorized(J)
-        Ji00 = J_inv[:, 0, 0]
-        Ji11 = J_inv[:, 1, 1]
-        Ji10 = J_inv[:, 1, 0]
-        Ji01 = J_inv[:, 0, 1]
-        H_rot = _to_matrix_vectorized([
-            [Ji00*Ji00, Ji10*Ji10, Ji00*Ji10],
-            [Ji01*Ji01, Ji11*Ji11, Ji01*Ji11],
-            [2*Ji00*Ji01, 2*Ji11*Ji10, Ji00*Ji11+Ji10*Ji01]])
-        if not return_area:
-            return H_rot
-        else:
-            area = 0.5 * (J[:, 0, 0]*J[:, 1, 1] - J[:, 0, 1]*J[:, 1, 0])
-            return H_rot, area
-
-    def get_Kff_and_Ff(self, J, ecc, triangles, Uc):
-        """
-        Builds K and F for the following elliptic formulation:
-        minimization of curvature energy with value of function at node
-        imposed and derivatives 'free'.
-        Builds the global Kff matrix in cco format.
-        Builds the full Ff vec Ff = - Kfc x Uc
-
-        Parameters
-        ----------
-        *J* is a (N x 2 x 2) array of jacobian matrices (jacobian matrix at
-        triangle first apex)
-        *ecc* is a (N x 3 x 1) array (array of column-matrices) of triangle
-        eccentricities
-        *triangles* is a (N x 3) array of nodes indexes.
-        *Uc* is (N x 3) array of imposed displacements at nodes
-
-        Returns
-        -------
-        (Kff_rows, Kff_cols, Kff_vals) Kff matrix in coo format - Duplicate
-        (row, col) entries must be summed.
-        Ff: force vector - dim npts * 3
-        """
-        ntri = np.size(ecc, 0)
-        vec_range = np.arange(ntri, dtype=np.int32)
-        c_indices = -np.ones(ntri, dtype=np.int32)  # for unused dofs, -1
-        f_dof = [1, 2, 4, 5, 7, 8]
-        c_dof = [0, 3, 6]
-
-        # vals, rows and cols indices in global dof numbering
-        f_dof_indices = _to_matrix_vectorized([[
-            c_indices, triangles[:, 0]*2, triangles[:, 0]*2+1,
-            c_indices, triangles[:, 1]*2, triangles[:, 1]*2+1,
-            c_indices, triangles[:, 2]*2, triangles[:, 2]*2+1]])
-
-        expand_indices = np.ones([ntri, 9, 1], dtype=np.int32)
-        f_row_indices = _prod_vectorized(_transpose_vectorized(f_dof_indices),
-                                         _transpose_vectorized(expand_indices))
-        f_col_indices = _prod_vectorized(expand_indices, f_dof_indices)
-        K_elem = self.get_bending_matrices(J, ecc)
-
-        # Extracting sub-matrices
-        # Explanation & notations:
-        # * Subscript f denotes 'free' degrees of freedom (i.e. dz/dx, dz/dx)
-        # * Subscript c denotes 'condensated' (imposed) degrees of freedom
-        #    (i.e. z at all nodes)
-        # * F = [Ff, Fc] is the force vector
-        # * U = [Uf, Uc] is the imposed dof vector
-        #        [ Kff Kfc ]
-        # * K =  [         ]  is the laplacian stiffness matrix
-        #        [ Kcf Kff ]
-        # * As F = K x U one gets straightforwardly: Ff = - Kfc x Uc
-
-        # Computing Kff stiffness matrix in sparse coo format
-        Kff_vals = np.ravel(K_elem[np.ix_(vec_range, f_dof, f_dof)])
-        Kff_rows = np.ravel(f_row_indices[np.ix_(vec_range, f_dof, f_dof)])
-        Kff_cols = np.ravel(f_col_indices[np.ix_(vec_range, f_dof, f_dof)])
-
-        # Computing Ff force vector in sparse coo format
-        Kfc_elem = K_elem[np.ix_(vec_range, f_dof, c_dof)]
-        Uc_elem = np.expand_dims(Uc, axis=2)
-        Ff_elem = - _prod_vectorized(Kfc_elem, Uc_elem)[:, :, 0]
-        Ff_indices = f_dof_indices[np.ix_(vec_range, [0], f_dof)][:, 0, :]
-
-        # Extracting Ff force vector in dense format
-        # We have to sum duplicate indices -  using bincount
-        Ff = np.bincount(np.ravel(Ff_indices), weights=np.ravel(Ff_elem))
-        return Kff_rows, Kff_cols, Kff_vals, Ff
-
-
-# :class:_DOF_estimator, _DOF_estimator_user, _DOF_estimator_geom,
-# _DOF_estimator_min_E
-# Private classes used to compute the degree of freedom of each triangular
-# element for the TriCubicInterpolator.
-class _DOF_estimator():
-    """
-    Abstract base class for classes used to perform estimation of a function
-    first derivatives, and deduce the dofs for a CubicTriInterpolator using a
-    reduced HCT element formulation.
-    Derived classes implement compute_df(self,**kwargs), returning
-    np.vstack([dfx,dfy]).T where : dfx, dfy are the estimation of the 2
-    gradient coordinates.
-    """
-    def __init__(self, interpolator, **kwargs):
-        if not isinstance(interpolator, CubicTriInterpolator):
-            raise ValueError("Expected a CubicTriInterpolator object")
-        self._pts = interpolator._pts
-        self._tris_pts = interpolator._tris_pts
-        self.z = interpolator._z
-        self._triangles = interpolator._triangles
-        (self._unit_x, self._unit_y) = (interpolator._unit_x,
-                                        interpolator._unit_y)
-        self.dz = self.compute_dz(**kwargs)
-        self.compute_dof_from_df()
-
-    def compute_dz(self, **kwargs):
-        raise NotImplementedError
-
-    def compute_dof_from_df(self):
-        """
-        Computes reduced-HCT elements degrees of freedom, knowing the
-        gradient.
-        """
-        J = CubicTriInterpolator._get_jacobian(self._tris_pts)
-        tri_z = self.z[self._triangles]
-        tri_dz = self.dz[self._triangles]
-        tri_dof = self.get_dof_vec(tri_z, tri_dz, J)
-        return tri_dof
-
-    @staticmethod
-    def get_dof_vec(tri_z, tri_dz, J):
-        """
-        Computes the dof vector of a triangle, knowing the value of f, df and
-        of the local Jacobian at each node.
-
-        *tri_z*: array of shape (3,) of f nodal values
-        *tri_dz*: array of shape (3,2) of df/dx, df/dy nodal values
-        *J*: Jacobian matrix in local basis of apex 0
-
-        Returns dof array of shape (9,) so that for each apex iapex:
-            dof[iapex*3+0] = f(Ai)
-            dof[iapex*3+1] = df(Ai).(AiAi+)
-            dof[iapex*3+2] = df(Ai).(AiAi-)]
-        """
-        npt = tri_z.shape[0]
-        dof = np.zeros([npt, 9], dtype=np.float64)
-        J1 = _prod_vectorized(_ReducedHCT_Element.J0_to_J1, J)
-        J2 = _prod_vectorized(_ReducedHCT_Element.J0_to_J2, J)
-
-        col0 = _prod_vectorized(J, np.expand_dims(tri_dz[:, 0, :], axis=3))
-        col1 = _prod_vectorized(J1, np.expand_dims(tri_dz[:, 1, :], axis=3))
-        col2 = _prod_vectorized(J2, np.expand_dims(tri_dz[:, 2, :], axis=3))
-
-        dfdksi = _to_matrix_vectorized([
-            [col0[:, 0, 0], col1[:, 0, 0], col2[:, 0, 0]],
-            [col0[:, 1, 0], col1[:, 1, 0], col2[:, 1, 0]]])
-        dof[:, 0:7:3] = tri_z
-        dof[:, 1:8:3] = dfdksi[:, 0]
-        dof[:, 2:9:3] = dfdksi[:, 1]
-        return dof
-
-
-class _DOF_estimator_user(_DOF_estimator):
-    """ dz is imposed by user / Accounts for scaling if any """
-    def compute_dz(self, dz):
-        (dzdx, dzdy) = dz
-        dzdx = dzdx * self._unit_x
-        dzdy = dzdy * self._unit_y
-        return np.vstack([dzdx, dzdy]).T
-
-
-class _DOF_estimator_geom(_DOF_estimator):
-    """ Fast 'geometric' approximation, recommended for large arrays. """
-    def compute_dz(self):
-        """
-        self.df is computed as weighted average of _triangles sharing a common
-        node. On each triangle itri f is first assumed linear (= ~f), which
-        allows to compute d~f[itri]
-        Then the following approximation of df nodal values is then proposed:
-            f[ipt] = SUM ( w[itri] x d~f[itri] , for itri sharing apex ipt)
-        The weighted coeff. w[itri] are proportional to the angle of the
-        triangle itri at apex ipt
-        """
-        el_geom_w = self.compute_geom_weights()
-        el_geom_grad = self.compute_geom_grads()
-
-        # Sum of weights coeffs
-        w_node_sum = np.bincount(np.ravel(self._triangles),
-                                 weights=np.ravel(el_geom_w))
-
-        # Sum of weighted df = (dfx, dfy)
-        dfx_el_w = np.empty_like(el_geom_w)
-        dfy_el_w = np.empty_like(el_geom_w)
-        for iapex in range(3):
-            dfx_el_w[:, iapex] = el_geom_w[:, iapex]*el_geom_grad[:, 0]
-            dfy_el_w[:, iapex] = el_geom_w[:, iapex]*el_geom_grad[:, 1]
-        dfx_node_sum = np.bincount(np.ravel(self._triangles),
-                                   weights=np.ravel(dfx_el_w))
-        dfy_node_sum = np.bincount(np.ravel(self._triangles),
-                                   weights=np.ravel(dfy_el_w))
-
-        # Estimation of df
-        dfx_estim = dfx_node_sum/w_node_sum
-        dfy_estim = dfy_node_sum/w_node_sum
-        return np.vstack([dfx_estim, dfy_estim]).T
-
-    def compute_geom_weights(self):
-        """
-        Builds the (nelems x 3) weights coeffs of _triangles angles,
-        renormalized so that np.sum(weights, axis=1) == np.ones(nelems)
-        """
-        weights = np.zeros([np.size(self._triangles, 0), 3])
-        tris_pts = self._tris_pts
-        for ipt in range(3):
-            p0 = tris_pts[:, (ipt) % 3, :]
-            p1 = tris_pts[:, (ipt+1) % 3, :]
-            p2 = tris_pts[:, (ipt-1) % 3, :]
-            alpha1 = np.arctan2(p1[:, 1]-p0[:, 1], p1[:, 0]-p0[:, 0])
-            alpha2 = np.arctan2(p2[:, 1]-p0[:, 1], p2[:, 0]-p0[:, 0])
-            # In the below formula we could take modulo 2. but
-            # modulo 1. is safer regarding round-off errors (flat triangles).
-            angle = np.abs(np.mod((alpha2-alpha1) / np.pi, 1.))
-            # Weight proportional to angle up np.pi/2 ; null weight for
-            # degenerated cases 0. and np.pi (Note that `angle` is normalized
-            # by np.pi)
-            weights[:, ipt] = 0.5 - np.abs(angle-0.5)
-        return weights
-
-    def compute_geom_grads(self):
-        """
-        Compute the (global) gradient component of f assumed linear (~f).
-        returns array df of shape (nelems,2)
-        df[ielem].dM[ielem] = dz[ielem] i.e. df = dz x dM = dM.T^-1 x dz
-        """
-        tris_pts = self._tris_pts
-        tris_f = self.z[self._triangles]
-
-        dM1 = tris_pts[:, 1, :] - tris_pts[:, 0, :]
-        dM2 = tris_pts[:, 2, :] - tris_pts[:, 0, :]
-        dM = np.dstack([dM1, dM2])
-        # Here we try to deal with the simpliest colinear cases: a null
-        # gradient is assumed in this case.
-        dM_inv = _safe_inv22_vectorized(dM)
-
-        dZ1 = tris_f[:, 1] - tris_f[:, 0]
-        dZ2 = tris_f[:, 2] - tris_f[:, 0]
-        dZ = np.vstack([dZ1, dZ2]).T
-        df = np.empty_like(dZ)
-
-        # With np.einsum :  could be ej,eji -> ej
-        df[:, 0] = dZ[:, 0]*dM_inv[:, 0, 0] + dZ[:, 1]*dM_inv[:, 1, 0]
-        df[:, 1] = dZ[:, 0]*dM_inv[:, 0, 1] + dZ[:, 1]*dM_inv[:, 1, 1]
-        return df
-
-
-class _DOF_estimator_min_E(_DOF_estimator_geom):
-    """
-    The 'smoothest' approximation, df is computed through global minimization
-    of the bending energy:
-      E(f) = integral[(d2z/dx2 + d2z/dy2 + 2 d2z/dxdy)**2 dA]
-    """
-    def __init__(self, Interpolator):
-        self._eccs = Interpolator._eccs
-        _DOF_estimator_geom.__init__(self, Interpolator)
-
-    def compute_dz(self):
-        """
-        Elliptic solver for bending energy minimization.
-        Uses a dedicated 'toy' sparse Jacobi PCG solver.
-        """
-        # Initial guess for iterative PCG solver.
-        dz_init = _DOF_estimator_geom.compute_dz(self)
-        Uf0 = np.ravel(dz_init)
-
-        reference_element = _ReducedHCT_Element()
-        J = CubicTriInterpolator._get_jacobian(self._tris_pts)
-        eccs = self._eccs
-        triangles = self._triangles
-        Uc = self.z[self._triangles]
-
-        # Building stiffness matrix and force vector in coo format
-        Kff_rows, Kff_cols, Kff_vals, Ff = reference_element.get_Kff_and_Ff(
-            J, eccs, triangles, Uc)
-
-        # Building sparse matrix and solving minimization problem
-        # We could use scipy.sparse direct solver ; however to avoid this
-        # external dependency an implementation of a simple PCG solver with
-        # a simplendiagonal Jocabi preconditioner is implemented.
-        tol = 1.e-10
-        n_dof = Ff.shape[0]
-        Kff_coo = _Sparse_Matrix_coo(Kff_vals, Kff_rows, Kff_cols,
-                                     shape=(n_dof, n_dof))
-        Kff_coo.compress_csc()
-        Uf, err = _cg(A=Kff_coo, b=Ff, x0=Uf0, tol=tol)
-        # If the PCG did not converge, we return the best guess between Uf0
-        # and Uf.
-        err0 = np.linalg.norm(Kff_coo.dot(Uf0) - Ff)
-        if err0 < err:
-            # Maybe a good occasion to raise a warning here ?
-            warnings.warn("In TriCubicInterpolator initialization, PCG sparse"
-                          " solver did not converge after 1000 iterations. "
-                          "`geom` approximation is used instead of `min_E`")
-            Uf = Uf0
-
-        # Building dz from Uf
-        dz = np.empty([self._pts.shape[0], 2], dtype=np.float64)
-        dz[:, 0] = Uf[::2]
-        dz[:, 1] = Uf[1::2]
-        return dz
-
-
-# The following private :class:_Sparse_Matrix_coo and :func:_cg provide
-# a PCG sparse solver for (symmetric) elliptic problems.
-class _Sparse_Matrix_coo(object):
-    def __init__(self, vals, rows, cols, shape):
-        """
-        Creates a sparse matrix in coo format
-        *vals*: arrays of values of non-null entries of the matrix
-        *rows*: int arrays of rows of non-null entries of the matrix
-        *cols*: int arrays of cols of non-null entries of the matrix
-        *shape*: 2-tuple (n,m) of matrix shape
-
-        """
-        self.n, self.m = shape
-        self.vals = np.asarray(vals, dtype=np.float64)
-        self.rows = np.asarray(rows, dtype=np.int32)
-        self.cols = np.asarray(cols, dtype=np.int32)
-
-    def dot(self, V):
-        """
-        Dot product of self by a vector *V* in sparse-dense to dense format
-        *V* dense vector of shape (self.m,)
-        """
-        assert V.shape == (self.m,)
-        # For a more generic implementation we could use below kw argument
-        # minlength=self.m of bincount ; however:
-        # - it is new in numpy 1.6
-        # - it is unecessary when each row have at least 1 entry in global
-        #   matrix, which is the case here.
-        return np.bincount(self.rows, weights=self.vals*V[self.cols])
-
-    def compress_csc(self):
-        """
-        Compress rows, cols, vals / summing duplicates. Sort for csc format.
-        """
-        _, unique, indices = np.unique(
-            self.rows + self.n*self.cols,
-            return_index=True, return_inverse=True)
-        self.rows = self.rows[unique]
-        self.cols = self.cols[unique]
-        self.vals = np.bincount(indices, weights=self.vals)
-
-    def compress_csr(self):
-        """
-        Compress rows, cols, vals / summing duplicates. Sort for csr format.
-        """
-        _, unique, indices = np.unique(
-            self.m*self.rows + self.cols,
-            return_index=True, return_inverse=True)
-        self.rows = self.rows[unique]
-        self.cols = self.cols[unique]
-        self.vals = np.bincount(indices, weights=self.vals)
-
-    def to_dense(self):
-        """
-        Returns a dense matrix representing self.
-        Mainly for debugging purposes.
-        """
-        ret = np.zeros([self.n, self.m], dtype=np.float64)
-        nvals = self.vals.size
-        for i in range(nvals):
-            ret[self.rows[i], self.cols[i]] += self.vals[i]
-        return ret
-
-    def __str__(self):
-        return self.to_dense().__str__()
-
-    @property
-    def diag(self):
-        """
-        Returns the (dense) vector of the diagonal elements.
-        """
-        in_diag = (self.rows == self.cols)
-        diag = np.zeros(min(self.n, self.n), dtype=np.float64)  # default 0.
-        diag[self.rows[in_diag]] = self.vals[in_diag]
-        return diag
-
-
-def _cg(A, b, x0=None, tol=1.e-10, maxiter=1000):
-    """
-    Use Preconditioned Conjugate Gradient iteration to solve A x = b
-    A simple Jacobi (diagonal) preconditionner is used.
-
-    Parameters
-    ----------
-    A: _Sparse_Matrix_coo
-        *A* must have been compressed before by compress_csc or
-        compress_csr method.
-
-    b: array
-        Right hand side of the linear system.
-
-    Returns
-    ----------
-    x: array.
-        The converged solution.
-    err: float
-        The absolute error np.linalg.norm(A.dot(x) - b)
-
-    Other parameters
-    ----------
-    x0: array.
-        Starting guess for the solution.
-    tol: float.
-        Tolerance to achieve. The algorithm terminates when the relative
-        residual is below tol.
-    maxiter: integer.
-        Maximum number of iterations. Iteration will stop
-        after maxiter steps even if the specified tolerance has not
-        been achieved.
-    """
-    n = b.size
-    assert A.n == n
-    assert A.m == n
-    b_norm = np.linalg.norm(b)
-
-    # Jacobi pre-conditioner
-    kvec = A.diag
-    # For diag elem < 1e-6 we keep 1e-6.
-    kvec = np.where(kvec > 1.e-6, kvec, 1.e-6)
-
-    # Initial guess
-    if x0 is None:
-        x = np.zeros(n)
-    else:
-        x = x0
-
-    r = b - A.dot(x)
-    w = r/kvec
-
-    p = np.zeros(n)
-    beta = 0.0
-    rho = np.dot(r, w)
-    k = 0
-
-    # Following C. T. Kelley
-    while (np.sqrt(abs(rho)) > tol*b_norm) and (k < maxiter):
-        p = w + beta*p
-        z = A.dot(p)
-        alpha = rho/np.dot(p, z)
-        r = r - alpha*z
-        w = r/kvec
-        rhoold = rho
-        rho = np.dot(r, w)
-        x = x + alpha*p
-        beta = rho/rhoold
-        #err = np.linalg.norm(A.dot(x) - b) # absolute accuracy - not used
-        k += 1
-    err = np.linalg.norm(A.dot(x) - b)
-    return x, err
-
-
-# The following private functions:
-#     :func:`_inv22_vectorized`
-#     :func:`_safe_inv22_vectorized`
-#     :func:`_pseudo_inv22sym_vectorized`
-#     :func:`_prod_vectorized`
-#     :func:`_scalar_vectorized`
-#     :func:`_transpose_vectorized`
-#     :func:`_roll_vectorized`
-#     :func:`_to_matrix_vectorized`
-#     :func:`_extract_submatrices`
-# provide fast numpy implementation of some standard operations on arrays of
-# matrices - stored as (:, n_rows, n_cols)-shaped np.arrays.
-def _inv22_vectorized(M):
-    """
-    Inversion of arrays of (2,2) matrices.
-    """
-    assert (M.ndim == 3)
-    assert (M.shape[-2:] == (2, 2))
-    M_inv = np.empty_like(M)
-    delta_inv = np.reciprocal(M[:, 0, 0]*M[:, 1, 1] - M[:, 0, 1]*M[:, 1, 0])
-    M_inv[:, 0, 0] = M[:, 1, 1]*delta_inv
-    M_inv[:, 0, 1] = -M[:, 0, 1]*delta_inv
-    M_inv[:, 1, 0] = -M[:, 1, 0]*delta_inv
-    M_inv[:, 1, 1] = M[:, 0, 0]*delta_inv
-    return M_inv
-
-
-# Development note: Dealing with pathologic 'flat' triangles in the
-# CubicTriInterpolator code and impact on (2,2)-matrix inversion functions
-# :func:`_safe_inv22_vectorized` and :func:`_pseudo_inv22sym_vectorized`.
-#
-# Goals:
-# 1) The CubicTriInterpolator should be able to handle flat or almost flat
-#    triangles without raising an error,
-# 2) These degenerated triangles should have no impact on the automatic dof
-#    calculation (associated with null weight for the _DOF_estimator_geom and
-#    with null energy for the _DOF_estimator_min_E),
-# 3) Linear patch test should be passed exactly on degenerated meshes,
-# 4) Interpolation (with :meth:`_interpolate_single_key` or
-#    :meth:`_interpolate_multi_key`) shall be correctly handled even *inside*
-#    the pathologic triangles, to interact correctly with a TriRefiner class.
-#
-# Difficulties:
-# Flat triangles have rank-deficient *J* (so-called jacobian matrix) and
-# *metric* (the metric tensor = J x J.T). Computation of the local
-# tangent plane is also problematic.
-#
-# Implementation:
-# Most of the time, when computing the inverse of a rank-deficient matrix it
-# is safe to simply return the null matrix (which is the implementation in
-# :func:`_safe_inv22_vectorized`). This is because of point 2), itself
-# enforced by:
-#    - null area hence null energy in :class:`_DOF_estimator_min_E`
-#    - angles close or equal to 0 or np.pi hence null weight in
-#      :class:`_DOF_estimator_geom`.
-#      Note that the function angle -> weight is continuous and maximum for an
-#      angle np.pi/2 (refer to :meth:`compute_geom_weights`)
-# The exception is the computation of barycentric coordinates, which is done
-# by inversion of the *metric* matrix. In this case, we need to compute a set
-# of valid coordinates (1 among numerous possibilities), to ensure point 4).
-# We benefit here from the symmetry of metric = J x J.T, which makes it easier
-# to compute a pseudo-inverse in :func:`_pseudo_inv22sym_vectorized`
-def _safe_inv22_vectorized(M):
-    """
-    Inversion of arrays of (2,2) matrices, returns 0 for rank-deficient
-    matrices.
-
-    *M* : array of (2,2) matrices to inverse, shape (n,2,2)
-    """
-    assert M.ndim == 3
-    assert M.shape[-2:] == (2, 2)
-    M_inv = np.empty_like(M)
-    prod1 = M[:, 0, 0]*M[:, 1, 1]
-    delta = prod1 - M[:, 0, 1]*M[:, 1, 0]
-
-    # We set delta_inv to 0. in case of a rank deficient matrix ; a
-    # rank-deficient input matrix *M* will lead to a null matrix in output
-    rank2 = (np.abs(delta) > 1e-8*np.abs(prod1))
-    if np.all(rank2):
-        # Normal 'optimized' flow.
-        delta_inv = 1./delta
-    else:
-        # 'Pathologic' flow.
-        delta_inv = np.zeros(M.shape[0])
-        delta_inv[rank2] = 1./delta[rank2]
-
-    M_inv[:, 0, 0] = M[:, 1, 1]*delta_inv
-    M_inv[:, 0, 1] = -M[:, 0, 1]*delta_inv
-    M_inv[:, 1, 0] = -M[:, 1, 0]*delta_inv
-    M_inv[:, 1, 1] = M[:, 0, 0]*delta_inv
-    return M_inv
-
-
-def _pseudo_inv22sym_vectorized(M):
-    """
-    Inversion of arrays of (2,2) SYMMETRIC matrices ; returns the
-    (Moore-Penrose) pseudo-inverse for rank-deficient matrices.
-
-    In case M is of rank 1, we have M = trace(M) x P where P is the orthogonal
-    projection on Im(M), and we return trace(M)^-1 x P == M / trace(M)**2
-    In case M is of rank 0, we return the null matrix.
-
-    *M* : array of (2,2) matrices to inverse, shape (n,2,2)
-    """
-    assert M.ndim == 3
-    assert M.shape[-2:] == (2, 2)
-    M_inv = np.empty_like(M)
-    prod1 = M[:, 0, 0]*M[:, 1, 1]
-    delta = prod1 - M[:, 0, 1]*M[:, 1, 0]
-    rank2 = (np.abs(delta) > 1e-8*np.abs(prod1))
-
-    if np.all(rank2):
-        # Normal 'optimized' flow.
-        M_inv[:, 0, 0] = M[:, 1, 1] / delta
-        M_inv[:, 0, 1] = -M[:, 0, 1] / delta
-        M_inv[:, 1, 0] = -M[:, 1, 0] / delta
-        M_inv[:, 1, 1] = M[:, 0, 0] / delta
-    else:
-        # 'Pathologic' flow.
-        # Here we have to deal with 2 sub-cases
-        # 1) First sub-case: matrices of rank 2:
-        delta = delta[rank2]
-        M_inv[rank2, 0, 0] = M[rank2, 1, 1] / delta
-        M_inv[rank2, 0, 1] = -M[rank2, 0, 1] / delta
-        M_inv[rank2, 1, 0] = -M[rank2, 1, 0] / delta
-        M_inv[rank2, 1, 1] = M[rank2, 0, 0] / delta
-        # 2) Second sub-case: rank-deficient matrices of rank 0 and 1:
-        rank01 = ~rank2
-        tr = M[rank01, 0, 0] + M[rank01, 1, 1]
-        tr_zeros = (np.abs(tr) < 1.e-8)
-        sq_tr_inv = (1.-tr_zeros) / (tr**2+tr_zeros)
-        #sq_tr_inv = 1. / tr**2
-        M_inv[rank01, 0, 0] = M[rank01, 0, 0] * sq_tr_inv
-        M_inv[rank01, 0, 1] = M[rank01, 0, 1] * sq_tr_inv
-        M_inv[rank01, 1, 0] = M[rank01, 1, 0] * sq_tr_inv
-        M_inv[rank01, 1, 1] = M[rank01, 1, 1] * sq_tr_inv
-
-    return M_inv
-
-
-def _prod_vectorized(M1, M2):
-    """
-    Matrix product between arrays of matrices, or a matrix and an array of
-    matrices (*M1* and *M2*)
-    """
-    sh1 = M1.shape
-    sh2 = M2.shape
-    assert len(sh1) >= 2
-    assert len(sh2) >= 2
-    assert sh1[-1] == sh2[-2]
-
-    ndim1 = len(sh1)
-    t1_index = list(xrange(ndim1-2)) + [ndim1-1, ndim1-2]
-    return np.sum(np.transpose(M1, t1_index)[..., np.newaxis] *
-                  M2[..., np.newaxis, :], -3)
-
-
-def _scalar_vectorized(scalar, M):
-    """
-    Scalar product between scalars and matrices.
-    """
-    return scalar[:, np.newaxis, np.newaxis]*M
-
-
-def _transpose_vectorized(M):
-    """
-    Transposition of an array of matrices *M*.
-    """
-    ndim = M.ndim
-    assert ndim == 3
-    return np.transpose(M, [0, ndim-1, ndim-2])
-
-
-def _roll_vectorized(M, roll_indices, axis):
-    """
-    Rolls an array of matrices along an axis according to an array of indices
-    *roll_indices*
-    *axis* can be either 0 (rolls rows) or 1 (rolls columns).
-    """
-    assert axis in [0, 1]
-    ndim = M.ndim
-    assert ndim == 3
-    ndim_roll = roll_indices.ndim
-    assert ndim_roll == 1
-    sh = M.shape
-    r, c = sh[-2:]
-    assert sh[0] == roll_indices.shape[0]
-    vec_indices = np.arange(sh[0], dtype=np.int32)
-
-    # Builds the rolled matrix
-    M_roll = np.empty_like(M)
-    if axis == 0:
-        for ir in range(r):
-            for ic in range(c):
-                M_roll[:, ir, ic] = M[vec_indices, (-roll_indices+ir) % r, ic]
-    elif axis == 1:
-        for ir in range(r):
-            for ic in range(c):
-                M_roll[:, ir, ic] = M[vec_indices, ir, (-roll_indices+ic) % c]
-    return M_roll
-
-
-def _to_matrix_vectorized(M):
-    """
-    Builds an array of matrices from individuals np.arrays of identical
-    shapes.
-    *M*: ncols-list of nrows-lists of shape sh.
-
-    Returns M_res np.array of shape (sh, nrow, ncols) so that:
-        M_res[...,i,j] = M[i][j]
-    """
-    assert isinstance(M, (tuple, list))
-    assert all([isinstance(item, (tuple, list)) for item in M])
-    c_vec = np.asarray([len(item) for item in M])
-    assert np.all(c_vec-c_vec[0] == 0)
-    r = len(M)
-    c = c_vec[0]
-    M00 = np.asarray(M[0][0])
-    dt = M00.dtype
-    sh = [M00.shape[0], r, c]
-    M_ret = np.empty(sh, dtype=dt)
-    for irow in range(r):
-        for icol in range(c):
-            M_ret[:, irow, icol] = np.asarray(M[irow][icol])
-    return M_ret
-
-
-def _extract_submatrices(M, block_indices, block_size, axis):
-    """
-    Extracts selected blocks of a matrices *M* depending on parameters
-    *block_indices* and *block_size*.
-
-    Returns the array of extracted matrices *Mres* so that:
-        M_res[...,ir,:] = M[(block_indices*block_size+ir), :]
-    """
-    assert block_indices.ndim == 1
-    assert axis in [0, 1]
-
-    r, c = M.shape
-    if axis == 0:
-        sh = [block_indices.shape[0], block_size, c]
-    elif axis == 1:
-        sh = [block_indices.shape[0], r, block_size]
-
-    dt = M.dtype
-    M_res = np.empty(sh, dtype=dt)
-    if axis == 0:
-        for ir in range(block_size):
-            M_res[:, ir, :] = M[(block_indices*block_size+ir), :]
-    elif axis == 1:
-        for ic in range(block_size):
-            M_res[:, :, ic] = M[:, (block_indices*block_size+ic)]
-
-    return M_res
diff --git a/lib/matplotlib/tri/tripcolor.py b/lib/matplotlib/tri/tripcolor.py
deleted file mode 100644
index 7221ce2e1082..000000000000
--- a/lib/matplotlib/tri/tripcolor.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib.collections import PolyCollection, TriMesh
-from matplotlib.colors import Normalize
-from matplotlib.tri.triangulation import Triangulation
-import numpy as np
-
-
-def tripcolor(ax, *args, **kwargs):
-    """
-    Create a pseudocolor plot of an unstructured triangular grid.
-
-    The triangulation can be specified in one of two ways; either::
-
-      tripcolor(triangulation, ...)
-
-    where triangulation is a :class:`matplotlib.tri.Triangulation`
-    object, or
-
-    ::
-
-      tripcolor(x, y, ...)
-      tripcolor(x, y, triangles, ...)
-      tripcolor(x, y, triangles=triangles, ...)
-      tripcolor(x, y, mask=mask, ...)
-      tripcolor(x, y, triangles, mask=mask, ...)
-
-    in which case a Triangulation object will be created.  See
-    :class:`~matplotlib.tri.Triangulation` for a explanation of these
-    possibilities.
-
-    The next argument must be *C*, the array of color values, either
-    one per point in the triangulation if color values are defined at
-    points, or one per triangle in the triangulation if color values
-    are defined at triangles. If there are the same number of points
-    and triangles in the triangulation it is assumed that color
-    values are defined at points; to force the use of color values at
-    triangles use the kwarg *facecolors*=C instead of just *C*.
-
-    *shading* may be 'flat' (the default) or 'gouraud'. If *shading*
-    is 'flat' and C values are defined at points, the color values
-    used for each triangle are from the mean C of the triangle's
-    three points. If *shading* is 'gouraud' then color values must be
-    defined at points.  *shading* of 'faceted' is deprecated;
-    please use *edgecolors* instead.
-
-    The remaining kwargs are the same as for
-    :meth:`~matplotlib.axes.Axes.pcolor`.
-
-    **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/tripcolor_demo.py
-    """
-    if not ax._hold:
-        ax.cla()
-
-    alpha = kwargs.pop('alpha', 1.0)
-    norm = kwargs.pop('norm', None)
-    cmap = kwargs.pop('cmap', None)
-    vmin = kwargs.pop('vmin', None)
-    vmax = kwargs.pop('vmax', None)
-    shading = kwargs.pop('shading', 'flat')
-    facecolors = kwargs.pop('facecolors', None)
-
-    tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
-
-    # C is the colors array defined at either points or faces (i.e. triangles).
-    # If facecolors is None, C are defined at points.
-    # If facecolors is not None, C are defined at faces.
-    if facecolors is not None:
-        C = facecolors
-    else:
-        C = np.asarray(args[0])
-
-    # If there are a different number of points and triangles in the
-    # triangulation, can omit facecolors kwarg as it is obvious from
-    # length of C whether it refers to points or faces.
-    # Do not do this for gouraud shading.
-    if (facecolors is None and len(C) == len(tri.triangles) and
-            len(C) != len(tri.x) and shading != 'gouraud'):
-        facecolors = C
-
-    # Check length of C is OK.
-    if ((facecolors is None and len(C) != len(tri.x)) or
-            (facecolors is not None and len(C) != len(tri.triangles))):
-        raise ValueError('Length of color values array must be the same '
-                         'as either the number of triangulation points '
-                         'or triangles')
-
-    # Handling of linewidths, shading, edgecolors and antialiased as
-    # in Axes.pcolor
-    linewidths = (0.25,)
-    if 'linewidth' in kwargs:
-        kwargs['linewidths'] = kwargs.pop('linewidth')
-    kwargs.setdefault('linewidths', linewidths)
-
-    if shading == 'faceted':   # Deprecated.
-        edgecolors = 'k'
-    else:
-        edgecolors = 'none'
-    if 'edgecolor' in kwargs:
-        kwargs['edgecolors'] = kwargs.pop('edgecolor')
-    ec = kwargs.setdefault('edgecolors', edgecolors)
-
-    if 'antialiased' in kwargs:
-        kwargs['antialiaseds'] = kwargs.pop('antialiased')
-    if 'antialiaseds' not in kwargs and ec.lower() == "none":
-        kwargs['antialiaseds'] = False
-
-    if shading == 'gouraud':
-        if facecolors is not None:
-            raise ValueError('Gouraud shading does not support the use '
-                             'of facecolors kwarg')
-        if len(C) != len(tri.x):
-            raise ValueError('For gouraud shading, the length of color '
-                             'values array must be the same as the '
-                             'number of triangulation points')
-        collection = TriMesh(tri, **kwargs)
-    else:
-        # Vertices of triangles.
-        maskedTris = tri.get_masked_triangles()
-        verts = np.concatenate((tri.x[maskedTris][..., np.newaxis],
-                                tri.y[maskedTris][..., np.newaxis]), axis=2)
-
-        # Color values.
-        if facecolors is None:
-            # One color per triangle, the mean of the 3 vertex color values.
-            C = C[maskedTris].mean(axis=1)
-        elif tri.mask is not None:
-            # Remove color values of masked triangles.
-            C = C.compress(1-tri.mask)
-
-        collection = PolyCollection(verts, **kwargs)
-
-    collection.set_alpha(alpha)
-    collection.set_array(C)
-    if norm is not None:
-        assert(isinstance(norm, Normalize))
-    collection.set_cmap(cmap)
-    collection.set_norm(norm)
-    if vmin is not None or vmax is not None:
-        collection.set_clim(vmin, vmax)
-    else:
-        collection.autoscale_None()
-    ax.grid(False)
-
-    minx = tri.x.min()
-    maxx = tri.x.max()
-    miny = tri.y.min()
-    maxy = tri.y.max()
-    corners = (minx, miny), (maxx, maxy)
-    ax.update_datalim(corners)
-    ax.autoscale_view()
-    ax.add_collection(collection)
-    return collection
diff --git a/lib/matplotlib/tri/triplot.py b/lib/matplotlib/tri/triplot.py
deleted file mode 100644
index fe0a064d8a71..000000000000
--- a/lib/matplotlib/tri/triplot.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-from matplotlib.tri.triangulation import Triangulation
-
-
-def triplot(ax, *args, **kwargs):
-    """
-    Draw a unstructured triangular grid as lines and/or markers.
-
-    The triangulation to plot can be specified in one of two ways;
-    either::
-
-      triplot(triangulation, ...)
-
-    where triangulation is a :class:`matplotlib.tri.Triangulation`
-    object, or
-
-    ::
-
-      triplot(x, y, ...)
-      triplot(x, y, triangles, ...)
-      triplot(x, y, triangles=triangles, ...)
-      triplot(x, y, mask=mask, ...)
-      triplot(x, y, triangles, mask=mask, ...)
-
-    in which case a Triangulation object will be created.  See
-    :class:`~matplotlib.tri.Triangulation` for a explanation of these
-    possibilities.
-
-    The remaining args and kwargs are the same as for
-    :meth:`~matplotlib.axes.Axes.plot`.
-
-    Return a list of 2 :class:`~matplotlib.lines.Line2D` containing
-    respectively:
-
-        - the lines plotted for triangles edges
-        - the markers plotted for triangles nodes
-
-    **Example:**
-
-        .. plot:: mpl_examples/pylab_examples/triplot_demo.py
-    """
-    import matplotlib.axes
-
-    tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
-    x, y, edges = (tri.x, tri.y, tri.edges)
-
-    # Decode plot format string, e.g., 'ro-'
-    fmt = ""
-    if len(args) > 0:
-        fmt = args[0]
-    linestyle, marker, color = matplotlib.axes._base._process_plot_format(fmt)
-
-    # Insert plot format string into a copy of kwargs (kwargs values prevail).
-    kw = kwargs.copy()
-    for key, val in zip(('linestyle', 'marker', 'color'),
-                        (linestyle, marker, color)):
-        if val is not None:
-            kw[key] = kwargs.get(key, val)
-
-    # Draw lines without markers.
-    # Note 1: If we drew markers here, most markers would be drawn more than
-    #         once as they belong to several edges.
-    # Note 2: We insert nan values in the flattened edges arrays rather than
-    #         plotting directly (triang.x[edges].T, triang.y[edges].T)
-    #         as it considerably speeds-up code execution.
-    linestyle = kw['linestyle']
-    kw_lines = kw.copy()
-    kw_lines['marker'] = 'None'  # No marker to draw.
-    kw_lines['zorder'] = kw.get('zorder', 1)  # Path default zorder is used.
-    if (linestyle is not None) and (linestyle not in ['None', '', ' ']):
-        tri_lines_x = np.insert(x[edges], 2, np.nan, axis=1)
-        tri_lines_y = np.insert(y[edges], 2, np.nan, axis=1)
-        tri_lines = ax.plot(tri_lines_x.ravel(), tri_lines_y.ravel(),
-                            **kw_lines)
-    else:
-        tri_lines = ax.plot([], [], **kw_lines)
-
-    # Draw markers separately.
-    marker = kw['marker']
-    kw_markers = kw.copy()
-    kw_markers['linestyle'] = 'None'  # No line to draw.
-    if (marker is not None) and (marker not in ['None', '', ' ']):
-        tri_markers = ax.plot(x, y, **kw_markers)
-    else:
-        tri_markers = ax.plot([], [], **kw_markers)
-
-    return tri_lines + tri_markers
diff --git a/lib/matplotlib/tri/trirefine.py b/lib/matplotlib/tri/trirefine.py
deleted file mode 100644
index 62a9f804ac1c..000000000000
--- a/lib/matplotlib/tri/trirefine.py
+++ /dev/null
@@ -1,332 +0,0 @@
-"""
-Mesh refinement for triangular grids.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-from matplotlib.tri.triangulation import Triangulation
-import matplotlib.tri.triinterpolate
-
-
-class TriRefiner(object):
-    """
-    Abstract base class for classes implementing mesh refinement.
-
-    A TriRefiner encapsulates a Triangulation object and provides tools for
-    mesh refinement and interpolation.
-
-    Derived classes must implements:
-
-        - ``refine_triangulation(return_tri_index=False, **kwargs)`` , where
-          the optional keyword arguments *kwargs* are defined in each
-          TriRefiner concrete implementation, and which returns :
-
-              - a refined triangulation
-              - optionally (depending on *return_tri_index*), for each
-                point of the refined triangulation: the index of
-                the initial triangulation triangle to which it belongs.
-
-        - ``refine_field(z, triinterpolator=None, **kwargs)`` , where:
-
-              - *z* array of field values (to refine) defined at the base
-                triangulation nodes
-              - *triinterpolator* is a
-                :class:`~matplotlib.tri.TriInterpolator` (optional)
-              - the other optional keyword arguments *kwargs* are defined in
-                each TriRefiner concrete implementation
-
-          and which returns (as a tuple) a refined triangular mesh and the
-          interpolated values of the field at the refined triangulation nodes.
-
-    """
-    def __init__(self, triangulation):
-        if not isinstance(triangulation, Triangulation):
-            raise ValueError("Expected a Triangulation object")
-        self._triangulation = triangulation
-
-
-class UniformTriRefiner(TriRefiner):
-    """
-    Uniform mesh refinement by recursive subdivisions.
-
-    Parameters
-    ----------
-    triangulation : :class:`~matplotlib.tri.Triangulation`
-                     The encapsulated triangulation (to be refined)
-    """
-#    See Also
-#    --------
-#    :class:`~matplotlib.tri.CubicTriInterpolator` and
-#    :class:`~matplotlib.tri.TriAnalyzer`.
-#    """
-    def __init__(self, triangulation):
-        TriRefiner.__init__(self, triangulation)
-
-    def refine_triangulation(self, return_tri_index=False, subdiv=3):
-        """
-        Computes an uniformly refined triangulation *refi_triangulation* of
-        the encapsulated :attr:`triangulation`.
-
-        This function refines the encapsulated triangulation by splitting each
-        father triangle into 4 child sub-triangles built on the edges midside
-        nodes, recursively (level of recursion *subdiv*).
-        In the end, each triangle is hence divided into ``4**subdiv``
-        child triangles.
-        The default value for *subdiv* is 3 resulting in 64 refined
-        subtriangles for each triangle of the initial triangulation.
-
-        Parameters
-        ----------
-        return_tri_index : boolean, optional
-            Boolean indicating whether an index table indicating the father
-            triangle index of each point will be returned. Default value
-            False.
-        subdiv : integer, optional
-            Recursion level for the subdivision. Defaults value 3.
-            Each triangle will be divided into ``4**subdiv`` child triangles.
-
-        Returns
-        -------
-        refi_triangulation : :class:`~matplotlib.tri.Triangulation`
-            The returned refined triangulation
-        found_index : array-like of integers
-            Index of the initial triangulation containing triangle, for each
-            point of *refi_triangulation*.
-            Returned only if *return_tri_index* is set to True.
-
-        """
-        refi_triangulation = self._triangulation
-        ntri = refi_triangulation.triangles.shape[0]
-
-        # Computes the triangulation ancestors numbers in the reference
-        # triangulation.
-        ancestors = np.arange(ntri, dtype=np.int32)
-        for _ in range(subdiv):
-            refi_triangulation, ancestors = self._refine_triangulation_once(
-                refi_triangulation, ancestors)
-        refi_npts = refi_triangulation.x.shape[0]
-        refi_triangles = refi_triangulation.triangles
-
-        # Now we compute found_index table if needed
-        if return_tri_index:
-            # We have to initialize found_index with -1 because some nodes
-            # may very well belong to no triangle at all, e.g., in case of
-            # Delaunay Triangulation with DuplicatePointWarning.
-            found_index = - np.ones(refi_npts, dtype=np.int32)
-            tri_mask = self._triangulation.mask
-            if tri_mask is None:
-                found_index[refi_triangles] = np.repeat(ancestors,
-                                                        3).reshape(-1, 3)
-            else:
-                # There is a subtlety here: we want to avoid whenever possible
-                # that refined points container is a masked triangle (which
-                # would result in artifacts in plots).
-                # So we impose the numbering from masked ancestors first,
-                # then overwrite it with unmasked ancestor numbers.
-                ancestor_mask = tri_mask[ancestors]
-                found_index[refi_triangles[ancestor_mask, :]
-                            ] = np.repeat(ancestors[ancestor_mask],
-                                          3).reshape(-1, 3)
-                found_index[refi_triangles[~ancestor_mask, :]
-                            ] = np.repeat(ancestors[~ancestor_mask],
-                                          3).reshape(-1, 3)
-            return refi_triangulation, found_index
-        else:
-            return refi_triangulation
-
-    def refine_field(self, z, triinterpolator=None, subdiv=3):
-        """
-        Refines a field defined on the encapsulated triangulation.
-
-        Returns *refi_tri* (refined triangulation), *refi_z* (interpolated
-        values of the field at the node of the refined triangulation).
-
-        Parameters
-        ----------
-        z : 1d-array-like of length ``n_points``
-            Values of the field to refine, defined at the nodes of the
-            encapsulated triangulation. (``n_points`` is the number of points
-            in the initial triangulation)
-        triinterpolator : :class:`~matplotlib.tri.TriInterpolator`, optional
-            Interpolator used for field interpolation. If not specified,
-            a :class:`~matplotlib.tri.CubicTriInterpolator` will
-            be used.
-        subdiv : integer, optional
-            Recursion level for the subdivision. Defaults to 3.
-            Each triangle will be divided into ``4**subdiv`` child triangles.
-
-        Returns
-        -------
-        refi_tri : :class:`~matplotlib.tri.Triangulation` object
-                     The returned refined triangulation
-        refi_z : 1d array of length: *refi_tri* node count.
-                   The returned interpolated field (at *refi_tri* nodes)
-
-        Examples
-        --------
-        The main application of this method is to plot high-quality
-        iso-contours on a coarse triangular grid (e.g., triangulation built
-        from relatively sparse test data):
-
-        .. plot:: mpl_examples/pylab_examples/tricontour_smooth_user.py
-
-        """
-        if triinterpolator is None:
-            interp = matplotlib.tri.CubicTriInterpolator(
-                self._triangulation, z)
-        else:
-            if not isinstance(triinterpolator,
-                              matplotlib.tri.TriInterpolator):
-                raise ValueError("Expected a TriInterpolator object")
-            interp = triinterpolator
-
-        refi_tri, found_index = self.refine_triangulation(
-            subdiv=subdiv, return_tri_index=True)
-        refi_z = interp._interpolate_multikeys(
-            refi_tri.x, refi_tri.y, tri_index=found_index)[0]
-        return refi_tri, refi_z
-
-    @staticmethod
-    def _refine_triangulation_once(triangulation, ancestors=None):
-        """
-        This function refines a matplotlib.tri *triangulation* by splitting
-        each triangle into 4 child-masked_triangles built on the edges midside
-        nodes.
-        The masked triangles, if present, are also splitted but their children
-        returned masked.
-
-        If *ancestors* is not provided, returns only a new triangulation:
-        child_triangulation.
-
-        If the array-like key table *ancestor* is given, it shall be of shape
-        (ntri,) where ntri is the number of *triangulation* masked_triangles.
-        In this case, the function returns
-        (child_triangulation, child_ancestors)
-        child_ancestors is defined so that the 4 child masked_triangles share
-        the same index as their father: child_ancestors.shape = (4 * ntri,).
-
-        """
-        x = triangulation.x
-        y = triangulation.y
-
-        #    According to tri.triangulation doc:
-        #         neighbors[i,j] is the triangle that is the neighbor
-        #         to the edge from point index masked_triangles[i,j] to point
-        #         index masked_triangles[i,(j+1)%3].
-        neighbors = triangulation.neighbors
-        triangles = triangulation.triangles
-        npts = np.shape(x)[0]
-        ntri = np.shape(triangles)[0]
-        if ancestors is not None:
-            ancestors = np.asarray(ancestors)
-            if np.shape(ancestors) != (ntri,):
-                raise ValueError(
-                    "Incompatible shapes provide for triangulation"
-                    ".masked_triangles and ancestors: {0} and {1}".format(
-                        np.shape(triangles), np.shape(ancestors)))
-
-        # Initiating tables refi_x and refi_y of the refined triangulation
-        # points
-        # hint: each apex is shared by 2 masked_triangles except the borders.
-        borders = np.sum(neighbors == -1)
-        added_pts = (3*ntri + borders) // 2
-        refi_npts = npts + added_pts
-        refi_x = np.zeros(refi_npts)
-        refi_y = np.zeros(refi_npts)
-
-        # First part of refi_x, refi_y is just the initial points
-        refi_x[:npts] = x
-        refi_y[:npts] = y
-
-        # Second part contains the edge midside nodes.
-        # Each edge belongs to 1 triangle (if border edge) or is shared by 2
-        # masked_triangles (interior edge).
-        # We first build 2 * ntri arrays of edge starting nodes (edge_elems,
-        # edge_apexes) ; we then extract only the masters to avoid overlaps.
-        # The so-called 'master' is the triangle with biggest index
-        # The 'slave' is the triangle with lower index
-        # (can be -1 if border edge)
-        # For slave and master we will identify the apex pointing to the edge
-        # start
-        edge_elems = np.ravel(np.vstack([np.arange(ntri, dtype=np.int32),
-                                         np.arange(ntri, dtype=np.int32),
-                                         np.arange(ntri, dtype=np.int32)]))
-        edge_apexes = np.ravel(np.vstack([np.zeros(ntri, dtype=np.int32),
-                                          np.ones(ntri, dtype=np.int32),
-                                          np.ones(ntri, dtype=np.int32)*2]))
-        edge_neighbors = neighbors[edge_elems, edge_apexes]
-        mask_masters = (edge_elems > edge_neighbors)
-
-        # Identifying the "masters" and adding to refi_x, refi_y vec
-        masters = edge_elems[mask_masters]
-        apex_masters = edge_apexes[mask_masters]
-        x_add = (x[triangles[masters, apex_masters]] +
-                 x[triangles[masters, (apex_masters+1) % 3]]) * 0.5
-        y_add = (y[triangles[masters, apex_masters]] +
-                 y[triangles[masters, (apex_masters+1) % 3]]) * 0.5
-        refi_x[npts:] = x_add
-        refi_y[npts:] = y_add
-
-        # Building the new masked_triangles ; each old masked_triangles hosts
-        # 4 new masked_triangles
-        # there are 6 pts to identify per 'old' triangle, 3 new_pt_corner and
-        # 3 new_pt_midside
-        new_pt_corner = triangles
-
-        # What is the index in refi_x, refi_y of point at middle of apex iapex
-        #  of elem ielem ?
-        # If ielem is the apex master: simple count, given the way refi_x was
-        #  built.
-        # If ielem is the apex slave: yet we do not know ; but we will soon
-        # using the neighbors table.
-        new_pt_midside = np.empty([ntri, 3], dtype=np.int32)
-        cum_sum = npts
-        for imid in range(3):
-            mask_st_loc = (imid == apex_masters)
-            n_masters_loc = np.sum(mask_st_loc)
-            elem_masters_loc = masters[mask_st_loc]
-            new_pt_midside[:, imid][elem_masters_loc] = np.arange(
-                n_masters_loc, dtype=np.int32) + cum_sum
-            cum_sum += n_masters_loc
-
-        # Now dealing with slave elems.
-        # for each slave element we identify the master and then the inode
-        # onces slave_masters is indentified, slave_masters_apex is such that:
-        # neighbors[slaves_masters, slave_masters_apex] == slaves
-        mask_slaves = np.logical_not(mask_masters)
-        slaves = edge_elems[mask_slaves]
-        slaves_masters = edge_neighbors[mask_slaves]
-        diff_table = np.abs(neighbors[slaves_masters, :] -
-                            np.outer(slaves, np.ones(3, dtype=np.int32)))
-        slave_masters_apex = np.argmin(diff_table, axis=1)
-        slaves_apex = edge_apexes[mask_slaves]
-        new_pt_midside[slaves, slaves_apex] = new_pt_midside[
-            slaves_masters, slave_masters_apex]
-
-        # Builds the 4 child masked_triangles
-        child_triangles = np.empty([ntri*4, 3], dtype=np.int32)
-        child_triangles[0::4, :] = np.vstack([
-            new_pt_corner[:, 0], new_pt_midside[:, 0],
-            new_pt_midside[:, 2]]).T
-        child_triangles[1::4, :] = np.vstack([
-            new_pt_corner[:, 1], new_pt_midside[:, 1],
-            new_pt_midside[:, 0]]).T
-        child_triangles[2::4, :] = np.vstack([
-            new_pt_corner[:, 2], new_pt_midside[:, 2],
-            new_pt_midside[:, 1]]).T
-        child_triangles[3::4, :] = np.vstack([
-            new_pt_midside[:, 0], new_pt_midside[:, 1],
-            new_pt_midside[:, 2]]).T
-        child_triangulation = Triangulation(refi_x, refi_y, child_triangles)
-
-        # Builds the child mask
-        if triangulation.mask is not None:
-            child_triangulation.set_mask(np.repeat(triangulation.mask, 4))
-
-        if ancestors is None:
-            return child_triangulation
-        else:
-            return child_triangulation, np.repeat(ancestors, 4)
diff --git a/lib/matplotlib/tri/tritools.py b/lib/matplotlib/tri/tritools.py
deleted file mode 100644
index a956c8521e3d..000000000000
--- a/lib/matplotlib/tri/tritools.py
+++ /dev/null
@@ -1,312 +0,0 @@
-"""
-Tools for triangular grids.
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib.tri import Triangulation
-import numpy as np
-
-
-class TriAnalyzer(object):
-    """
-    Define basic tools for triangular mesh analysis and improvement.
-
-    A TriAnalizer encapsulates a :class:`~matplotlib.tri.Triangulation`
-    object and provides basic tools for mesh analysis and mesh improvement.
-
-    Parameters
-    ----------
-    triangulation : :class:`~matplotlib.tri.Triangulation` object
-        The encapsulated triangulation to analyze.
-
-    Attributes
-    ----------
-    `scale_factors`
-
-    """
-    def __init__(self, triangulation):
-        if not isinstance(triangulation, Triangulation):
-            raise ValueError("Expected a Triangulation object")
-        self._triangulation = triangulation
-
-    @property
-    def scale_factors(self):
-        """
-        Factors to rescale the triangulation into a unit square.
-
-        Returns *k*, tuple of 2 scale factors.
-
-        Returns
-        -------
-        k : tuple of 2 floats (kx, ky)
-            Tuple of floats that would rescale the triangulation :
-            ``[triangulation.x * kx, triangulation.y * ky]``
-            fits exactly inside a unit square.
-
-        """
-        compressed_triangles = self._triangulation.get_masked_triangles()
-        node_used = (np.bincount(np.ravel(compressed_triangles)) != 0)
-        x = self._triangulation.x[node_used]
-        y = self._triangulation.y[node_used]
-        ux = np.max(x)-np.min(x)
-        uy = np.max(y)-np.min(y)
-        return (1./float(ux), 1./float(uy))
-
-    def circle_ratios(self, rescale=True):
-        """
-        Returns a measure of the triangulation triangles flatness.
-
-        The ratio of the incircle radius over the circumcircle radius is a
-        widely used indicator of a triangle flatness.
-        It is always ``<= 0.5`` and ``== 0.5`` only for equilateral
-        triangles. Circle ratios below 0.01 denote very flat triangles.
-
-        To avoid unduly low values due to a difference of scale between the 2
-        axis, the triangular mesh can first be rescaled to fit inside a unit
-        square with :attr:`scale_factors` (Only if *rescale* is True, which is
-        its default value).
-
-        Parameters
-        ----------
-        rescale : boolean, optional
-            If True, a rescaling will be internally performed (based on
-            :attr:`scale_factors`, so that the (unmasked) triangles fit
-            exactly inside a unit square mesh. Default is True.
-
-        Returns
-        -------
-        circle_ratios : masked array
-            Ratio of the incircle radius over the
-            circumcircle radius, for each 'rescaled' triangle of the
-            encapsulated triangulation.
-            Values corresponding to masked triangles are masked out.
-
-        """
-        # Coords rescaling
-        if rescale:
-            (kx, ky) = self.scale_factors
-        else:
-            (kx, ky) = (1.0, 1.0)
-        pts = np.vstack([self._triangulation.x*kx,
-                         self._triangulation.y*ky]).T
-        tri_pts = pts[self._triangulation.triangles]
-        # Computes the 3 side lengths
-        a = tri_pts[:, 1, :] - tri_pts[:, 0, :]
-        b = tri_pts[:, 2, :] - tri_pts[:, 1, :]
-        c = tri_pts[:, 0, :] - tri_pts[:, 2, :]
-        a = np.sqrt(a[:, 0]**2 + a[:, 1]**2)
-        b = np.sqrt(b[:, 0]**2 + b[:, 1]**2)
-        c = np.sqrt(c[:, 0]**2 + c[:, 1]**2)
-        # circumcircle and incircle radii
-        s = (a+b+c)*0.5
-        prod = s*(a+b-s)*(a+c-s)*(b+c-s)
-        # We have to deal with flat triangles with infinite circum_radius
-        bool_flat = (prod == 0.)
-        if np.any(bool_flat):
-            # Pathologic flow
-            ntri = tri_pts.shape[0]
-            circum_radius = np.empty(ntri, dtype=np.float64)
-            circum_radius[bool_flat] = np.inf
-            abc = a*b*c
-            circum_radius[~bool_flat] = abc[~bool_flat] / (
-                4.0*np.sqrt(prod[~bool_flat]))
-        else:
-            # Normal optimized flow
-            circum_radius = (a*b*c) / (4.0*np.sqrt(prod))
-        in_radius = (a*b*c) / (4.0*circum_radius*s)
-        circle_ratio = in_radius/circum_radius
-        mask = self._triangulation.mask
-        if mask is None:
-            return circle_ratio
-        else:
-            return np.ma.array(circle_ratio, mask=mask)
-
-    def get_flat_tri_mask(self, min_circle_ratio=0.01, rescale=True):
-        """
-        Eliminates excessively flat border triangles from the triangulation.
-
-        Returns a mask *new_mask* which allows to clean the encapsulated
-        triangulation from its border-located flat triangles
-        (according to their :meth:`circle_ratios`).
-        This mask is meant to be subsequently applied to the triangulation
-        using :func:`matplotlib.tri.Triangulation.set_mask` .
-        *new_mask* is an extension of the initial triangulation mask
-        in the sense that an initially masked triangle will remain masked.
-
-        The *new_mask* array is computed recursively ; at each step flat
-        triangles are removed only if they share a side with the current
-        mesh border. Thus no new holes in the triangulated domain will be
-        created.
-
-        Parameters
-        ----------
-        min_circle_ratio : float, optional
-            Border triangles with incircle/circumcircle radii ratio r/R will
-            be removed if r/R < *min_circle_ratio*. Default value: 0.01
-        rescale : boolean, optional
-            If True, a rescaling will first be internally performed (based on
-            :attr:`scale_factors` ), so that the (unmasked) triangles fit
-            exactly inside a unit square mesh. This rescaling accounts for the
-            difference of scale which might exist between the 2 axis. Default
-            (and recommended) value is True.
-
-        Returns
-        -------
-        new_mask : array-like of booleans
-            Mask to apply to encapsulated triangulation.
-            All the initially masked triangles remain masked in the
-            *new_mask*.
-
-        Notes
-        -----
-        The rationale behind this function is that a Delaunay
-        triangulation - of an unstructured set of points - sometimes contains
-        almost flat triangles at its border, leading to artifacts in plots
-        (especially for high-resolution contouring).
-        Masked with computed *new_mask*, the encapsulated
-        triangulation would contain no more unmasked border triangles
-        with a circle ratio below *min_circle_ratio*, thus improving the
-        mesh quality for subsequent plots or interpolation.
-
-        Examples
-        --------
-        Please refer to the following illustrating example:
-
-        .. plot:: mpl_examples/pylab_examples/tricontour_smooth_delaunay.py
-
-        """
-        # Recursively computes the mask_current_borders, true if a triangle is
-        # at the border of the mesh OR touching the border through a chain of
-        # invalid aspect ratio masked_triangles.
-        ntri = self._triangulation.triangles.shape[0]
-        mask_bad_ratio = self.circle_ratios(rescale) < min_circle_ratio
-
-        current_mask = self._triangulation.mask
-        if current_mask is None:
-            current_mask = np.zeros(ntri, dtype=np.bool)
-        valid_neighbors = np.copy(self._triangulation.neighbors)
-        renum_neighbors = np.arange(ntri, dtype=np.int32)
-        nadd = -1
-        while nadd != 0:
-            # The active wavefront is the triangles from the border (unmasked
-            # but with a least 1 neighbor equal to -1
-            wavefront = ((np.min(valid_neighbors, axis=1) == -1)
-                         & ~current_mask)
-            # The element from the active wavefront will be masked if their
-            # circle ratio is bad.
-            added_mask = np.logical_and(wavefront, mask_bad_ratio)
-            current_mask = (added_mask | current_mask)
-            nadd = np.sum(added_mask)
-
-            # now we have to update the tables valid_neighbors
-            valid_neighbors[added_mask, :] = -1
-            renum_neighbors[added_mask] = -1
-            valid_neighbors = np.where(valid_neighbors == -1, -1,
-                                       renum_neighbors[valid_neighbors])
-
-        return np.ma.filled(current_mask, True)
-
-    def _get_compressed_triangulation(self, return_tri_renum=False,
-                                      return_node_renum=False):
-        """
-        Compress (if masked) the encapsulated triangulation.
-
-        Returns minimal-length triangles array (*compressed_triangles*) and
-        coordinates arrays (*compressed_x*, *compressed_y*) that can still
-        describe the unmasked triangles of the encapsulated triangulation.
-
-        Parameters
-        ----------
-        return_tri_renum : boolean, optional
-            Indicates whether a renumbering table to translate the triangle
-            numbers from the encapsulated triangulation numbering into the
-            new (compressed) renumbering will be returned.
-        return_node_renum : boolean, optional
-            Indicates whether a renumbering table to translate the nodes
-            numbers from the encapsulated triangulation numbering into the
-            new (compressed) renumbering will be returned.
-
-        Returns
-        -------
-        compressed_triangles : array-like
-            the returned compressed triangulation triangles
-        compressed_x : array-like
-            the returned compressed triangulation 1st coordinate
-        compressed_y : array-like
-            the returned compressed triangulation 2nd coordinate
-        tri_renum : array-like of integers
-            renumbering table to translate the triangle numbers from the
-            encapsulated triangulation into the new (compressed) renumbering.
-            -1 for masked triangles (deleted from *compressed_triangles*).
-            Returned only if *return_tri_renum* is True.
-        node_renum : array-like of integers
-            renumbering table to translate the point numbers from the
-            encapsulated triangulation into the new (compressed) renumbering.
-            -1 for unused points (i.e. those deleted from *compressed_x* and
-            *compressed_y*). Returned only if *return_node_renum* is True.
-
-        """
-        # Valid triangles and renumbering
-        tri_mask = self._triangulation.mask
-        compressed_triangles = self._triangulation.get_masked_triangles()
-        ntri = self._triangulation.triangles.shape[0]
-        tri_renum = self._total_to_compress_renum(tri_mask, ntri)
-
-        # Valid nodes and renumbering
-        node_mask = (np.bincount(np.ravel(compressed_triangles)) == 0)
-        compressed_x = self._triangulation.x[~node_mask]
-        compressed_y = self._triangulation.y[~node_mask]
-        node_renum = self._total_to_compress_renum(node_mask)
-
-        # Now renumbering the valid triangles nodes
-        compressed_triangles = node_renum[compressed_triangles]
-
-        # 4 cases possible for return
-        if not return_tri_renum:
-            if not return_node_renum:
-                return compressed_triangles, compressed_x, compressed_y
-            else:
-                return (compressed_triangles, compressed_x, compressed_y,
-                        node_renum)
-        else:
-            if not return_node_renum:
-                return (compressed_triangles, compressed_x, compressed_y,
-                        tri_renum)
-            else:
-                return (compressed_triangles, compressed_x, compressed_y,
-                        tri_renum, node_renum)
-
-    @staticmethod
-    def _total_to_compress_renum(mask, n=None):
-        """
-        Parameters
-        ----------
-        mask : 1d boolean array or None
-            mask
-        n : integer
-            length of the mask. Useful only id mask can be None
-
-        Returns
-        -------
-        renum : integer array
-            array so that (`valid_array` being a compressed array
-            based on a `masked_array` with mask *mask*) :
-
-                  - For all i such as mask[i] = False:
-                    valid_array[renum[i]] = masked_array[i]
-                  - For all i such as mask[i] = True:
-                    renum[i] = -1 (invalid value)
-
-        """
-        if n is None:
-            n = np.size(mask)
-        if mask is not None:
-            renum = -np.ones(n, dtype=np.int32)  # Default num is -1
-            valid = np.arange(n, dtype=np.int32).compress(~mask, axis=0)
-            renum[valid] = np.arange(np.size(valid, 0), dtype=np.int32)
-            return renum
-        else:
-            return np.arange(n, dtype=np.int32)
diff --git a/lib/matplotlib/type1font.py b/lib/matplotlib/type1font.py
deleted file mode 100644
index 094ff5560121..000000000000
--- a/lib/matplotlib/type1font.py
+++ /dev/null
@@ -1,342 +0,0 @@
-"""
-This module contains a class representing a Type 1 font.
-
-This version reads pfa and pfb files and splits them for embedding in
-pdf files. It also supports SlantFont and ExtendFont transformations,
-similarly to pdfTeX and friends. There is no support yet for
-subsetting.
-
-Usage::
-
-   >>> font = Type1Font(filename)
-   >>> clear_part, encrypted_part, finale = font.parts
-   >>> slanted_font = font.transform({'slant': 0.167})
-   >>> extended_font = font.transform({'extend': 1.2})
-
-Sources:
-
-* Adobe Technical Note #5040, Supporting Downloadable PostScript
-  Language Fonts.
-
-* Adobe Type 1 Font Format, Adobe Systems Incorporated, third printing,
-  v1.1, 1993. ISBN 0-201-57044-0.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import filter
-from six import unichr
-
-import io
-import itertools
-import numpy as np
-import re
-import struct
-import sys
-
-if six.PY3:
-    def ord(x):
-        return x
-
-
-class Type1Font(object):
-    """
-    A class representing a Type-1 font, for use by backends.
-
-    .. attribute:: parts
-
-       A 3-tuple of the cleartext part, the encrypted part, and the
-       finale of zeros.
-
-    .. attribute:: prop
-
-       A dictionary of font properties.
-    """
-    __slots__ = ('parts', 'prop')
-
-    def __init__(self, input):
-        """
-        Initialize a Type-1 font. *input* can be either the file name of
-        a pfb file or a 3-tuple of already-decoded Type-1 font parts.
-        """
-        if isinstance(input, tuple) and len(input) == 3:
-            self.parts = input
-        else:
-            with open(input, 'rb') as file:
-                data = self._read(file)
-            self.parts = self._split(data)
-
-        self._parse()
-
-    def _read(self, file):
-        """
-        Read the font from a file, decoding into usable parts.
-        """
-        rawdata = file.read()
-        if not rawdata.startswith(b'\x80'):
-            return rawdata
-
-        data = b''
-        while len(rawdata) > 0:
-            if not rawdata.startswith(b'\x80'):
-                raise RuntimeError('Broken pfb file (expected byte 128, '
-                                   'got %d)' % ord(rawdata[0]))
-            type = ord(rawdata[1])
-            if type in (1, 2):
-                length, = struct.unpack(str('<i'), rawdata[2:6])
-                segment = rawdata[6:6 + length]
-                rawdata = rawdata[6 + length:]
-
-            if type == 1:       # ASCII text: include verbatim
-                data += segment
-            elif type == 2:     # binary data: encode in hexadecimal
-                data += b''.join([('%02x' % ord(char)).encode('ascii')
-                                  for char in segment])
-            elif type == 3:     # end of file
-                break
-            else:
-                raise RuntimeError('Unknown segment type %d in pfb file' %
-                                   type)
-
-        return data
-
-    def _split(self, data):
-        """
-        Split the Type 1 font into its three main parts.
-
-        The three parts are: (1) the cleartext part, which ends in a
-        eexec operator; (2) the encrypted part; (3) the fixed part,
-        which contains 512 ASCII zeros possibly divided on various
-        lines, a cleartomark operator, and possibly something else.
-        """
-
-        # Cleartext part: just find the eexec and skip whitespace
-        idx = data.index(b'eexec')
-        idx += len(b'eexec')
-        while data[idx] in b' \t\r\n':
-            idx += 1
-        len1 = idx
-
-        # Encrypted part: find the cleartomark operator and count
-        # zeros backward
-        idx = data.rindex(b'cleartomark') - 1
-        zeros = 512
-        while zeros and ord(data[idx]) in (
-            ord(b'0'[0]), ord(b'\n'[0]), ord(b'\r'[0])):
-            if ord(data[idx]) == ord(b'0'[0]):
-                zeros -= 1
-            idx -= 1
-        if zeros:
-            raise RuntimeError('Insufficiently many zeros in Type 1 font')
-
-        # Convert encrypted part to binary (if we read a pfb file, we
-        # may end up converting binary to hexadecimal to binary again;
-        # but if we read a pfa file, this part is already in hex, and
-        # I am not quite sure if even the pfb format guarantees that
-        # it will be in binary).
-        binary = b''.join([unichr(int(data[i:i + 2], 16)).encode('latin-1')
-                           for i in range(len1, idx, 2)])
-
-        return data[:len1], binary, data[idx:]
-
-    _whitespace_re = re.compile(br'[\0\t\r\014\n ]+')
-    _token_re = re.compile(br'/{0,2}[^]\0\t\r\v\n ()<>{}/%[]+')
-    _comment_re = re.compile(br'%[^\r\n\v]*')
-    _instring_re = re.compile(br'[()\\]')
-
-    # token types
-    _whitespace = object()
-    _name = object()
-    _string = object()
-    _delimiter = object()
-    _number = object()
-
-    @classmethod
-    def _tokens(cls, text):
-        """
-        A PostScript tokenizer. Yield (token, value) pairs such as
-        (cls._whitespace, '   ') or (cls._name, '/Foobar').
-        """
-        pos = 0
-        while pos < len(text):
-            match = (cls._comment_re.match(text[pos:]) or
-                     cls._whitespace_re.match(text[pos:]))
-            if match:
-                yield (cls._whitespace, match.group())
-                pos += match.end()
-            elif text[pos] == '(':
-                start = pos
-                pos += 1
-                depth = 1
-                while depth:
-                    match = cls._instring_re.search(text[pos:])
-                    if match is None:
-                        return
-                    pos += match.end()
-                    if match.group() == '(':
-                        depth += 1
-                    elif match.group() == ')':
-                        depth -= 1
-                    else:  # a backslash - skip the next character
-                        pos += 1
-                yield (cls._string, text[start:pos])
-            elif text[pos:pos + 2] in ('<<', '>>'):
-                yield (cls._delimiter, text[pos:pos + 2])
-                pos += 2
-            elif text[pos] == '<':
-                start = pos
-                pos += text[pos:].index('>')
-                yield (cls._string, text[start:pos])
-            else:
-                match = cls._token_re.match(text[pos:])
-                if match:
-                    try:
-                        float(match.group())
-                        yield (cls._number, match.group())
-                    except ValueError:
-                        yield (cls._name, match.group())
-                    pos += match.end()
-                else:
-                    yield (cls._delimiter, text[pos:pos + 1])
-                    pos += 1
-
-    def _parse(self):
-        """
-        Find the values of various font properties. This limited kind
-        of parsing is described in Chapter 10 "Adobe Type Manager
-        Compatibility" of the Type-1 spec.
-        """
-        # Start with reasonable defaults
-        prop = {'weight': 'Regular', 'ItalicAngle': 0.0, 'isFixedPitch': False,
-                'UnderlinePosition': -100, 'UnderlineThickness': 50}
-        tokenizer = self._tokens(self.parts[0])
-        filtered = filter(lambda x: x[0] != self._whitespace, tokenizer)
-        # The spec calls this an ASCII format; in Python 2.x we could
-        # just treat the strings and names as opaque bytes but let's
-        # turn them into proper Unicode, and be lenient in case of high bytes.
-        convert = lambda x: x.decode('ascii', errors='replace')
-        for token, value in filtered:
-            if token is self._name and value.startswith(b'/'):
-                key = convert(value[1:])
-                token, value = next(filtered)
-                if token is self._name:
-                    if value in (b'true', b'false'):
-                        value = value == b'true'
-                    else:
-                        value = convert(value.lstrip(b'/'))
-                elif token is self._string:
-                    value = convert(value.lstrip(b'(').rstrip(b')'))
-                elif token is self._number:
-                    if b'.' in value:
-                        value = float(value)
-                    else:
-                        value = int(value)
-                else:  # more complicated value such as an array
-                    value = None
-                if key != 'FontInfo' and value is not None:
-                    prop[key] = value
-
-        # Fill in the various *Name properties
-        if 'FontName' not in prop:
-            prop['FontName'] = (prop.get('FullName') or
-                                prop.get('FamilyName') or
-                                'Unknown')
-        if 'FullName' not in prop:
-            prop['FullName'] = prop['FontName']
-        if 'FamilyName' not in prop:
-            extras = r'(?i)([ -](regular|plain|italic|oblique|(semi)?bold|(ultra)?light|extra|condensed))+$'
-            prop['FamilyName'] = re.sub(extras, '', prop['FullName'])
-
-        self.prop = prop
-
-    @classmethod
-    def _transformer(cls, tokens, slant, extend):
-        def fontname(name):
-            result = name
-            if slant:
-                result += '_Slant_' + str(int(1000 * slant))
-            if extend != 1.0:
-                result += '_Extend_' + str(int(1000 * extend))
-            return result
-
-        def italicangle(angle):
-            return str(float(angle) - np.arctan(slant) / np.pi * 180)
-
-        def fontmatrix(array):
-            array = array.lstrip('[').rstrip(']').strip().split()
-            array = [float(x) for x in array]
-            oldmatrix = np.eye(3, 3)
-            oldmatrix[0:3, 0] = array[::2]
-            oldmatrix[0:3, 1] = array[1::2]
-            modifier = np.array([[extend, 0, 0],
-                                 [slant, 1, 0],
-                                 [0, 0, 1]])
-            newmatrix = np.dot(modifier, oldmatrix)
-            array[::2] = newmatrix[0:3, 0]
-            array[1::2] = newmatrix[0:3, 1]
-            return '[' + ' '.join(str(x) for x in array) + ']'
-
-        def replace(fun):
-            def replacer(tokens):
-                token, value = next(tokens)      # name, e.g., /FontMatrix
-                yield value
-                token, value = next(tokens)      # possible whitespace
-                while token == 'whitespace':
-                    yield value
-                    token, value = next(tokens)
-                if value != '[':                  # name/number/etc.
-                    yield fun(value)
-                else:                             # array, e.g., [1 2 3]
-                    array = []
-                    while value != ']':
-                        array += value
-                        token, value = next(tokens)
-                    array += value
-                    yield fun(''.join(array))
-            return replacer
-
-        def suppress(tokens):
-            for x in itertools.takewhile(lambda x: x[1] != 'def', tokens):
-                pass
-            yield ''
-
-        table = {'/FontName': replace(fontname),
-                 '/ItalicAngle': replace(italicangle),
-                 '/FontMatrix': replace(fontmatrix),
-                 '/UniqueID': suppress}
-
-        while True:
-            token, value = next(tokens)
-            if token == 'name' and value in table:
-                for value in table[value](itertools.chain([(token, value)],
-                                                          tokens)):
-                    yield value
-            else:
-                yield value
-
-    def transform(self, effects):
-        """
-        Transform the font by slanting or extending. *effects* should
-        be a dict where ``effects['slant']`` is the tangent of the
-        angle that the font is to be slanted to the right (so negative
-        values slant to the left) and ``effects['extend']`` is the
-        multiplier by which the font is to be extended (so values less
-        than 1.0 condense). Returns a new :class:`Type1Font` object.
-        """
-        buffer = io.BytesIO()
-        try:
-            tokenizer = self._tokens(self.parts[0])
-            for value in self._transformer(tokenizer,
-                                           slant=effects.get('slant', 0.0),
-                                           extend=effects.get('extend', 1.0)):
-                if six.PY3 and isinstance(value, int):
-                    value = chr(value)
-                value = value.encode('latin-1')
-                buffer.write(value)
-            result = buffer.getvalue()
-        finally:
-            buffer.close()
-
-        return Type1Font((result, self.parts[1], self.parts[2]))
diff --git a/lib/matplotlib/typing.py b/lib/matplotlib/typing.py
new file mode 100644
index 000000000000..df192df76b33
--- /dev/null
+++ b/lib/matplotlib/typing.py
@@ -0,0 +1,109 @@
+"""
+Typing support for Matplotlib
+
+This module contains Type aliases which are useful for Matplotlib and potentially
+downstream libraries.
+
+.. warning::
+    **Provisional status of typing**
+
+    The ``typing`` module and type stub files are considered provisional and may change
+    at any time without a deprecation period.
+"""
+from collections.abc import Hashable, Sequence
+import pathlib
+from typing import Any, Callable, Literal, TypeAlias, TypeVar, Union
+
+from . import path
+from ._enums import JoinStyle, CapStyle
+from .artist import Artist
+from .backend_bases import RendererBase
+from .markers import MarkerStyle
+from .transforms import Bbox, Transform
+
+RGBColorType: TypeAlias = tuple[float, float, float] | str
+"""Any RGB color specification accepted by Matplotlib."""
+
+RGBAColorType: TypeAlias = (
+    str |  # "none" or "#RRGGBBAA"/"#RGBA" hex strings
+    tuple[float, float, float, float] |
+    # 2 tuple (color, alpha) representations, not infinitely recursive
+    # RGBColorType includes the (str, float) tuple, even for RGBA strings
+    tuple[RGBColorType, float] |
+    # (4-tuple, float) is odd, but accepted as the outer float overriding A of 4-tuple
+    tuple[tuple[float, float, float, float], float]
+)
+"""Any RGBA color specification accepted by Matplotlib."""
+
+ColorType: TypeAlias = RGBColorType | RGBAColorType
+"""Any color specification accepted by Matplotlib. See :mpltype:`color`."""
+
+RGBColourType: TypeAlias = RGBColorType
+"""Alias of `.RGBColorType`."""
+
+RGBAColourType: TypeAlias = RGBAColorType
+"""Alias of `.RGBAColorType`."""
+
+ColourType: TypeAlias = ColorType
+"""Alias of `.ColorType`."""
+
+LineStyleType: TypeAlias = (
+    Literal["-", "solid", "--", "dashed", "-.", "dashdot", ":", "dotted",
+            "", "none", " ", "None"] |
+    tuple[float, Sequence[float]]
+)
+"""
+Any line style specification accepted by Matplotlib.
+See :doc:`/gallery/lines_bars_and_markers/linestyles`.
+"""
+
+DrawStyleType: TypeAlias = Literal["default", "steps", "steps-pre", "steps-mid",
+                                   "steps-post"]
+"""See :doc:`/gallery/lines_bars_and_markers/step_demo`."""
+
+MarkEveryType: TypeAlias = (
+    None |
+    int | tuple[int, int] | slice | list[int] |
+    float | tuple[float, float] |
+    list[bool]
+)
+"""See :doc:`/gallery/lines_bars_and_markers/markevery_demo`."""
+
+MarkerType: TypeAlias = str | path.Path | MarkerStyle
+"""
+Marker specification. See :doc:`/gallery/lines_bars_and_markers/marker_reference`.
+"""
+
+FillStyleType: TypeAlias = Literal["full", "left", "right", "bottom", "top", "none"]
+"""Marker fill styles. See :doc:`/gallery/lines_bars_and_markers/marker_reference`."""
+
+JoinStyleType: TypeAlias = JoinStyle | Literal["miter", "round", "bevel"]
+"""Line join styles. See :doc:`/gallery/lines_bars_and_markers/joinstyle`."""
+
+CapStyleType: TypeAlias = CapStyle | Literal["butt", "projecting", "round"]
+"""Line cap styles. See :doc:`/gallery/lines_bars_and_markers/capstyle`."""
+
+CoordsBaseType = Union[
+    str,
+    Artist,
+    Transform,
+    Callable[
+        [RendererBase],
+        Union[Bbox, Transform]
+    ]
+]
+CoordsType = Union[
+    CoordsBaseType,
+    tuple[CoordsBaseType, CoordsBaseType]
+]
+
+RcStyleType: TypeAlias = (
+    str |
+    dict[str, Any] |
+    pathlib.Path |
+    Sequence[str | pathlib.Path | dict[str, Any]]
+)
+
+_HT = TypeVar("_HT", bound=Hashable)
+HashableList: TypeAlias = list[_HT | "HashableList[_HT]"]
+"""A nested list of Hashable values."""
diff --git a/lib/matplotlib/units.py b/lib/matplotlib/units.py
index 081827910b56..e3480f228bb4 100644
--- a/lib/matplotlib/units.py
+++ b/lib/matplotlib/units.py
@@ -1,16 +1,15 @@
 """
 The classes here provide support for using custom classes with
-matplotlib, e.g., those that do not expose the array interface but know
-how to converter themselves to arrays.  It also supoprts classes with
+Matplotlib, e.g., those that do not expose the array interface but know
+how to convert themselves to arrays.  It also supports classes with
 units and units conversion.  Use cases include converters for custom
 objects, e.g., a list of datetime objects, as well as for objects that
-are unit aware.  We don't assume any particular units implementation,
-rather a units implementation must provide a ConversionInterface, and
-the register with the Registry converter dictionary.  For example,
+are unit aware.  We don't assume any particular units implementation;
+rather a units implementation must register with the Registry converter
+dictionary and provide a `ConversionInterface`.  For example,
 here is a complete implementation which supports plotting with native
 datetime objects::
 
-
     import matplotlib.units as units
     import matplotlib.dates as dates
     import matplotlib.ticker as ticker
@@ -20,49 +19,83 @@ class DateConverter(units.ConversionInterface):
 
         @staticmethod
         def convert(value, unit, axis):
-            'convert value to a scalar or array'
+            "Convert a datetime value to a scalar or array."
             return dates.date2num(value)
 
         @staticmethod
         def axisinfo(unit, axis):
-            'return major and minor tick locators and formatters'
-            if unit!='date': return None
+            "Return major and minor tick locators and formatters."
+            if unit != 'date':
+                return None
             majloc = dates.AutoDateLocator()
             majfmt = dates.AutoDateFormatter(majloc)
-            return AxisInfo(majloc=majloc,
-                            majfmt=majfmt,
-                            label='date')
+            return units.AxisInfo(majloc=majloc, majfmt=majfmt, label='date')
 
         @staticmethod
         def default_units(x, axis):
-            'return the default unit for x or None'
+            "Return the default unit for x or None."
             return 'date'
 
-    # finally we register our object type with a converter
+    # Finally we register our object type with the Matplotlib units registry.
     units.registry[datetime.date] = DateConverter()
-
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+from decimal import Decimal
+from numbers import Number
 
-from matplotlib.cbook import iterable, is_numlike
 import numpy as np
+from numpy import ma
+
+from matplotlib import cbook
+
 
+class ConversionError(TypeError):
+    pass
 
-class AxisInfo(object):
-    """information to support default axis labeling and tick labeling, and
-       default limits"""
+
+def _is_natively_supported(x):
+    """
+    Return whether *x* is of a type that Matplotlib natively supports or an
+    array of objects of such types.
+    """
+    # Matplotlib natively supports all number types except Decimal.
+    if np.iterable(x):
+        # Assume lists are homogeneous as other functions in unit system.
+        for thisx in x:
+            if thisx is ma.masked:
+                continue
+            return isinstance(thisx, Number) and not isinstance(thisx, Decimal)
+    else:
+        return isinstance(x, Number) and not isinstance(x, Decimal)
+
+
+class AxisInfo:
+    """
+    Information to support default axis labeling, tick labeling, and limits.
+
+    An instance of this class must be returned by
+    `ConversionInterface.axisinfo`.
+    """
     def __init__(self, majloc=None, minloc=None,
                  majfmt=None, minfmt=None, label=None,
                  default_limits=None):
         """
-        majloc and minloc: TickLocators for the major and minor ticks
-        majfmt and minfmt: TickFormatters for the major and minor ticks
-        label: the default axis label
-        default_limits: the default min, max of the axis if no data is present
-        If any of the above are None, the axis will simply use the default
+        Parameters
+        ----------
+        majloc, minloc : Locator, optional
+            Tick locators for the major and minor ticks.
+        majfmt, minfmt : Formatter, optional
+            Tick formatters for the major and minor ticks.
+        label : str, optional
+            The default axis label.
+        default_limits : optional
+            The default min and max limits of the axis if no data has
+            been plotted.
+
+        Notes
+        -----
+        If any of the above are ``None``, the axis will simply use the
+        default value.
         """
         self.majloc = majloc
         self.minloc = minloc
@@ -72,103 +105,91 @@ def __init__(self, majloc=None, minloc=None,
         self.default_limits = default_limits
 
 
-class ConversionInterface(object):
+class ConversionInterface:
     """
-    The minimal interface for a converter to take custom instances (or
-    sequences) and convert them to values mpl can use
+    The minimal interface for a converter to take custom data types (or
+    sequences) and convert them to values Matplotlib can use.
     """
+
     @staticmethod
     def axisinfo(unit, axis):
-        'return an units.AxisInfo instance for axis with the specified units'
+        """Return an `.AxisInfo` for the axis with the specified units."""
         return None
 
     @staticmethod
     def default_units(x, axis):
-        'return the default unit for x or None for the given axis'
+        """Return the default unit for *x* or ``None`` for the given axis."""
         return None
 
     @staticmethod
     def convert(obj, unit, axis):
         """
-        convert obj using unit for the specified axis.  If obj is a sequence,
-        return the converted sequence.  The ouput must be a sequence of scalars
-        that can be used by the numpy array layer
+        Convert *obj* using *unit* for the specified *axis*.
+
+        If *obj* is a sequence, return the converted sequence.  The output must
+        be a sequence of scalars that can be used by the numpy array layer.
         """
         return obj
 
+
+class DecimalConverter(ConversionInterface):
+    """Converter for decimal.Decimal data to float."""
+
     @staticmethod
-    def is_numlike(x):
+    def convert(value, unit, axis):
         """
-        The matplotlib datalim, autoscaling, locators etc work with
-        scalars which are the units converted to floats given the
-        current unit.  The converter may be passed these floats, or
-        arrays of them, even when units are set.  Derived conversion
-        interfaces may opt to pass plain-ol unitless numbers through
-        the conversion interface and this is a helper function for
-        them.
+        Convert Decimals to floats.
+
+        The *unit* and *axis* arguments are not used.
+
+        Parameters
+        ----------
+        value : decimal.Decimal or iterable
+            Decimal or list of Decimal need to be converted
         """
-        if iterable(x):
-            for thisx in x:
-                return is_numlike(thisx)
+        if isinstance(value, Decimal):
+            return float(value)
+        # value is Iterable[Decimal]
+        elif isinstance(value, ma.MaskedArray):
+            return ma.asarray(value, dtype=float)
         else:
-            return is_numlike(x)
+            return np.asarray(value, dtype=float)
+
+    # axisinfo and default_units can be inherited as Decimals are Numbers.
 
 
 class Registry(dict):
-    """
-    register types with conversion interface
-    """
-    def __init__(self):
-        dict.__init__(self)
-        self._cached = {}
+    """Register types with conversion interface."""
 
     def get_converter(self, x):
-        'get the converter interface instance for x, or None'
-
-        if not len(self):
-            return None  # nothing registered
-        #DISABLED idx = id(x)
-        #DISABLED cached = self._cached.get(idx)
-        #DISABLED if cached is not None: return cached
-
-        converter = None
-        classx = getattr(x, '__class__', None)
-
-        if classx is not None:
-            converter = self.get(classx)
-
-        if isinstance(x, np.ndarray) and x.size:
-            xravel = x.ravel()
+        """Get the converter interface instance for *x*, or None."""
+        # Unpack in case of e.g. Pandas or xarray object
+        x = cbook._unpack_to_numpy(x)
+
+        if isinstance(x, np.ndarray):
+            # In case x in a masked array, access the underlying data (only its
+            # type matters).  If x is a regular ndarray, getdata() just returns
+            # the array itself.
+            x = np.ma.getdata(x).ravel()
+            # If there are no elements in x, infer the units from its dtype
+            if not x.size:
+                return self.get_converter(np.array([0], dtype=x.dtype))
+        for cls in type(x).__mro__:  # Look up in the cache.
             try:
-                # pass the first value of x that is not masked back to
-                # get_converter
-                if not np.all(xravel.mask):
-                    # some elements are not masked
-                    converter = self.get_converter(
-                        xravel[np.argmin(xravel.mask)])
-                    return converter
-            except AttributeError:
-                # not a masked_array
-                # Make sure we don't recurse forever -- it's possible for
-                # ndarray subclasses to continue to return subclasses and
-                # not ever return a non-subclass for a single element.
-                next_item = xravel[0]
-                if (not isinstance(next_item, np.ndarray) or
-                    next_item.shape != x.shape):
-                    converter = self.get_converter(next_item)
-                return converter
-
-        if converter is None and iterable(x):
-            for thisx in x:
-                # Make sure that recursing might actually lead to a solution,
-                # if we are just going to re-examine another item of the same
-                # kind, then do not look at it.
-                if classx and classx != getattr(thisx, '__class__', None):
-                    converter = self.get_converter(thisx)
-                    return converter
-
-        #DISABLED self._cached[idx] = converter
-        return converter
+                return self[cls]
+            except KeyError:
+                pass
+        try:  # If cache lookup fails, look up based on first element...
+            first = cbook._safe_first_finite(x)
+        except (TypeError, StopIteration):
+            pass
+        else:
+            # ... and avoid infinite recursion for pathological iterables for
+            # which indexing returns instances of the same iterable class.
+            if type(first) is not type(x):
+                return self.get_converter(first)
+        return None
 
 
 registry = Registry()
+registry[Decimal] = DecimalConverter()
diff --git a/lib/matplotlib/widgets.py b/lib/matplotlib/widgets.py
index 8c22bc899537..6b196571814d 100644
--- a/lib/matplotlib/widgets.py
+++ b/lib/matplotlib/widgets.py
@@ -1,78 +1,99 @@
 """
-GUI Neutral widgets
+GUI neutral widgets
 ===================
 
 Widgets that are designed to work for any of the GUI backends.
-All of these widgets require you to predefine an :class:`matplotlib.axes.Axes`
-instance and pass that as the first arg.  matplotlib doesn't try to
+All of these widgets require you to predefine an `~.axes.Axes`
+instance and pass that as the first parameter.  Matplotlib doesn't try to
 be too smart with respect to layout -- you will have to figure out how
 wide and tall you want your Axes to be to accommodate your widget.
 """
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
+from contextlib import ExitStack
 import copy
-import six
-from six.moves import zip
+import itertools
+from numbers import Integral, Number
 
+from cycler import cycler
 import numpy as np
 
-from .mlab import dist
-from .patches import Circle, Rectangle
+import matplotlib as mpl
+from . import (_api, _docstring, backend_tools, cbook, collections, colors,
+               text as mtext, ticker, transforms)
 from .lines import Line2D
-from .transforms import blended_transform_factory
+from .patches import Rectangle, Ellipse, Polygon
+from .transforms import TransformedPatchPath, Affine2D
 
 
-class LockDraw(object):
+class LockDraw:
     """
     Some widgets, like the cursor, draw onto the canvas, and this is not
-    desirable under all circumstances, like when the toolbar is in
-    zoom-to-rect mode and drawing a rectangle.  The module level "lock"
-    allows someone to grab the lock and prevent other widgets from
-    drawing.  Use ``matplotlib.widgets.lock(someobj)`` to pr
+    desirable under all circumstances, like when the toolbar is in zoom-to-rect
+    mode and drawing a rectangle.  To avoid this, a widget can acquire a
+    canvas' lock with ``canvas.widgetlock(widget)`` before drawing on the
+    canvas; this will prevent other widgets from doing so at the same time (if
+    they also try to acquire the lock first).
     """
-    # FIXME: This docstring ends abruptly without...
 
     def __init__(self):
         self._owner = None
 
     def __call__(self, o):
-        """reserve the lock for *o*"""
+        """Reserve the lock for *o*."""
         if not self.available(o):
             raise ValueError('already locked')
         self._owner = o
 
     def release(self, o):
-        """release the lock"""
+        """Release the lock from *o*."""
         if not self.available(o):
             raise ValueError('you do not own this lock')
         self._owner = None
 
     def available(self, o):
-        """drawing is available to *o*"""
+        """Return whether drawing is available to *o*."""
         return not self.locked() or self.isowner(o)
 
     def isowner(self, o):
-        """Return True if *o* owns this lock"""
+        """Return whether *o* owns this lock."""
         return self._owner is o
 
     def locked(self):
-        """Return True if the lock is currently held by an owner"""
+        """Return whether the lock is currently held by an owner."""
         return self._owner is not None
 
 
-class Widget(object):
+class Widget:
     """
-    Abstract base class for GUI neutral widgets
+    Abstract base class for GUI neutral widgets.
     """
     drawon = True
     eventson = True
+    _active = True
+
+    def set_active(self, active):
+        """Set whether the widget is active."""
+        self._active = active
+
+    def get_active(self):
+        """Get whether the widget is active."""
+        return self._active
+
+    # set_active is overridden by SelectorWidgets.
+    active = property(get_active, set_active, doc="Is the widget active?")
+
+    def ignore(self, event):
+        """
+        Return whether *event* should be ignored.
+
+        This method should be called at the beginning of any event callback.
+        """
+        return not self.active
 
 
 class AxesWidget(Widget):
-    """Widget that is connected to a single
-    :class:`~matplotlib.axes.Axes`.
+    """
+    Widget connected to a single `~matplotlib.axes.Axes`.
 
     To guarantee that the widget remains responsive and not garbage-collected,
     a reference to the object should be maintained by the user.
@@ -80,109 +101,92 @@ class AxesWidget(Widget):
     This is necessary because the callback registry
     maintains only weak-refs to the functions, which are member
     functions of the widget.  If there are no references to the widget
-    object it may be garbage collected which will disconnect the
-    callbacks.
-
-    Attributes:
+    object it may be garbage collected which will disconnect the callbacks.
 
-    *ax* : :class:`~matplotlib.axes.Axes`
-        The parent axes for the widget
-    *canvas* : :class:`~matplotlib.backend_bases.FigureCanvasBase` subclass
+    Attributes
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    canvas : `~matplotlib.backend_bases.FigureCanvasBase`
         The parent figure canvas for the widget.
-    *active* : bool
+    active : bool
         If False, the widget does not respond to events.
     """
+
     def __init__(self, ax):
         self.ax = ax
-        self.canvas = ax.figure.canvas
-        self.cids = []
-        self._active = True
+        self._cids = []
+
+    canvas = property(lambda self: self.ax.get_figure(root=True).canvas)
 
     def connect_event(self, event, callback):
-        """Connect callback with an event.
+        """
+        Connect a callback function with an event.
 
-        This should be used in lieu of `figure.canvas.mpl_connect` since this
-        function stores call back ids for later clean up.
+        This should be used in lieu of ``figure.canvas.mpl_connect`` since this
+        function stores callback ids for later clean up.
         """
         cid = self.canvas.mpl_connect(event, callback)
-        self.cids.append(cid)
+        self._cids.append(cid)
 
     def disconnect_events(self):
         """Disconnect all events created by this widget."""
-        for c in self.cids:
+        for c in self._cids:
             self.canvas.mpl_disconnect(c)
 
-    def set_active(self, active):
-        """Set whether the widget is active.
-        """
-        self._active = active
-
-    def get_active(self):
-        """Get whether the widget is active.
-        """
-        return self._active
-
-    # set_active is overriden by SelectorWidgets.
-    active = property(get_active, lambda self, active: self.set_active(active),
-                      doc="Is the widget active?")
-
-    def ignore(self, event):
-        """Return True if event should be ignored.
-
-        This method (or a version of it) should be called at the beginning
-        of any event callback.
-        """
-        return not self.active
+    def _get_data_coords(self, event):
+        """Return *event*'s data coordinates in this widget's Axes."""
+        # This method handles the possibility that event.inaxes != self.ax (which may
+        # occur if multiple Axes are overlaid), in which case event.xdata/.ydata will
+        # be wrong.  Note that we still special-case the common case where
+        # event.inaxes == self.ax and avoid re-running the inverse data transform,
+        # because that can introduce floating point errors for synthetic events.
+        return ((event.xdata, event.ydata) if event.inaxes is self.ax
+                else self.ax.transData.inverted().transform((event.x, event.y)))
 
 
 class Button(AxesWidget):
     """
     A GUI neutral button.
 
-    For the button to remain responsive
-    you must keep a reference to it.
+    For the button to remain responsive you must keep a reference to it.
+    Call `.on_clicked` to connect to the button.
 
-    The following attributes are accessible
-
-      *ax*
-        The :class:`matplotlib.axes.Axes` the button renders into.
-
-      *label*
-        A :class:`matplotlib.text.Text` instance.
-
-      *color*
+    Attributes
+    ----------
+    ax
+        The `~.axes.Axes` the button renders into.
+    label
+        A `.Text` instance.
+    color
         The color of the button when not hovering.
-
-      *hovercolor*
+    hovercolor
         The color of the button when hovering.
-
-    Call :meth:`on_clicked` to connect to the button
     """
 
     def __init__(self, ax, label, image=None,
-                 color='0.85', hovercolor='0.95'):
+                 color='0.85', hovercolor='0.95', *, useblit=True):
         """
         Parameters
         ----------
-        ax : matplotlib.axes.Axes
-            The :class:`matplotlib.axes.Axes` instance the button
-            will be placed into.
-
+        ax : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` instance the button will be placed into.
         label : str
-            The button text. Accepts string.
-
-        image : array, mpl image, PIL image
-            The image to place in the button, if not *None*.
-            Can be any legal arg to imshow (numpy array,
-            matplotlib Image instance, or PIL image).
-
-        color : color
-            The color of the button when not activated
-
-        hovercolor : color
-            The color of the button when the mouse is over it
+            The button text.
+        image : array-like or PIL Image
+            The image to place in the button, if not *None*.  The parameter is
+            directly forwarded to `~.axes.Axes.imshow`.
+        color : :mpltype:`color`
+            The color of the button when not activated.
+        hovercolor : :mpltype:`color`
+            The color of the button when the mouse is over it.
+        useblit : bool, default: True
+            Use blitting for faster drawing if supported by the backend.
+            See the tutorial :ref:`blitting` for details.
+
+            .. versionadded:: 3.7
         """
-        AxesWidget.__init__(self, ax)
+        super().__init__(ax)
 
         if image is not None:
             ax.imshow(image)
@@ -191,227 +195,311 @@ def __init__(self, ax, label, image=None,
                              horizontalalignment='center',
                              transform=ax.transAxes)
 
-        self.cnt = 0
-        self.observers = {}
+        self._useblit = useblit and self.canvas.supports_blit
+
+        self._observers = cbook.CallbackRegistry(signals=["clicked"])
 
         self.connect_event('button_press_event', self._click)
         self.connect_event('button_release_event', self._release)
         self.connect_event('motion_notify_event', self._motion)
         ax.set_navigate(False)
-        ax.set_axis_bgcolor(color)
+        ax.set_facecolor(color)
         ax.set_xticks([])
         ax.set_yticks([])
         self.color = color
         self.hovercolor = hovercolor
 
-        self._lastcolor = color
-
     def _click(self, event):
-        if self.ignore(event):
-            return
-        if event.inaxes != self.ax:
-            return
-        if not self.eventson:
+        if not self.eventson or self.ignore(event) or not self.ax.contains(event)[0]:
             return
         if event.canvas.mouse_grabber != self.ax:
             event.canvas.grab_mouse(self.ax)
 
     def _release(self, event):
-        if self.ignore(event):
-            return
-        if event.canvas.mouse_grabber != self.ax:
+        if self.ignore(event) or event.canvas.mouse_grabber != self.ax:
             return
         event.canvas.release_mouse(self.ax)
-        if not self.eventson:
-            return
-        if event.inaxes != self.ax:
-            return
-        for cid, func in six.iteritems(self.observers):
-            func(event)
+        if self.eventson and self.ax.contains(event)[0]:
+            self._observers.process('clicked', event)
 
     def _motion(self, event):
         if self.ignore(event):
             return
-        if event.inaxes == self.ax:
-            c = self.hovercolor
-        else:
-            c = self.color
-        if c != self._lastcolor:
-            self.ax.set_axis_bgcolor(c)
-            self._lastcolor = c
+        c = self.hovercolor if self.ax.contains(event)[0] else self.color
+        if not colors.same_color(c, self.ax.get_facecolor()):
+            self.ax.set_facecolor(c)
             if self.drawon:
-                self.ax.figure.canvas.draw()
+                if self._useblit:
+                    self.ax.draw_artist(self.ax)
+                    self.canvas.blit(self.ax.bbox)
+                else:
+                    self.canvas.draw()
 
     def on_clicked(self, func):
         """
-        When the button is clicked, call this *func* with event
+        Connect the callback function *func* to button click events.
 
-        A connection id is returned which can be used to disconnect
+        Returns a connection id, which can be used to disconnect the callback.
         """
-        cid = self.cnt
-        self.observers[cid] = func
-        self.cnt += 1
-        return cid
+        return self._observers.connect('clicked', lambda event: func(event))
 
     def disconnect(self, cid):
-        """remove the observer with connection id *cid*"""
-        try:
-            del self.observers[cid]
-        except KeyError:
-            pass
+        """Remove the callback function with connection id *cid*."""
+        self._observers.disconnect(cid)
 
 
-class Slider(AxesWidget):
+class SliderBase(AxesWidget):
     """
-    A slider representing a floating point range.
+    The base class for constructing Slider widgets. Not intended for direct
+    usage.
+
+    For the slider to remain responsive you must maintain a reference to it.
+    """
+    def __init__(self, ax, orientation, closedmin, closedmax,
+                 valmin, valmax, valfmt, dragging, valstep):
+        if ax.name == '3d':
+            raise ValueError('Sliders cannot be added to 3D Axes')
 
-    For the slider
-    to remain responsive you must maintain a reference to it.
+        super().__init__(ax)
+        _api.check_in_list(['horizontal', 'vertical'], orientation=orientation)
 
-    The following attributes are defined
-      *ax*        : the slider :class:`matplotlib.axes.Axes` instance
+        self.orientation = orientation
+        self.closedmin = closedmin
+        self.closedmax = closedmax
+        self.valmin = valmin
+        self.valmax = valmax
+        self.valstep = valstep
+        self.drag_active = False
+        self.valfmt = valfmt
 
-      *val*       : the current slider value
+        if orientation == "vertical":
+            ax.set_ylim((valmin, valmax))
+            axis = ax.yaxis
+        else:
+            ax.set_xlim((valmin, valmax))
+            axis = ax.xaxis
 
-      *vline*     : a :class:`matplotlib.lines.Line2D` instance
-                     representing the initial value of the slider
+        self._fmt = axis.get_major_formatter()
+        if not isinstance(self._fmt, ticker.ScalarFormatter):
+            self._fmt = ticker.ScalarFormatter()
+            self._fmt.set_axis(axis)
+        self._fmt.set_useOffset(False)  # No additive offset.
+        self._fmt.set_useMathText(True)  # x sign before multiplicative offset.
 
-      *poly*      : A :class:`matplotlib.patches.Polygon` instance
-                     which is the slider knob
+        ax.set_axis_off()
+        ax.set_navigate(False)
 
-      *valfmt*    : the format string for formatting the slider text
+        self.connect_event("button_press_event", self._update)
+        self.connect_event("button_release_event", self._update)
+        if dragging:
+            self.connect_event("motion_notify_event", self._update)
+        self._observers = cbook.CallbackRegistry(signals=["changed"])
+
+    def _stepped_value(self, val):
+        """Return *val* coerced to closest number in the ``valstep`` grid."""
+        if isinstance(self.valstep, Number):
+            val = (self.valmin
+                   + round((val - self.valmin) / self.valstep) * self.valstep)
+        elif self.valstep is not None:
+            valstep = np.asanyarray(self.valstep)
+            if valstep.ndim != 1:
+                raise ValueError(
+                    f"valstep must have 1 dimension but has {valstep.ndim}"
+                )
+            val = valstep[np.argmin(np.abs(valstep - val))]
+        return val
 
-      *label*     : a :class:`matplotlib.text.Text` instance
-                     for the slider label
+    def disconnect(self, cid):
+        """
+        Remove the observer with connection id *cid*.
 
-      *closedmin* : whether the slider is closed on the minimum
+        Parameters
+        ----------
+        cid : int
+            Connection id of the observer to be removed.
+        """
+        self._observers.disconnect(cid)
 
-      *closedmax* : whether the slider is closed on the maximum
+    def reset(self):
+        """Reset the slider to the initial value."""
+        if np.any(self.val != self.valinit):
+            self.set_val(self.valinit)
 
-      *slidermin* : another slider - if not *None*, this slider must be
-                     greater than *slidermin*
 
-      *slidermax* : another slider - if not *None*, this slider must be
-                     less than *slidermax*
+class Slider(SliderBase):
+    """
+    A slider representing a floating point range.
 
-      *dragging*  : allow for mouse dragging on slider
+    Create a slider from *valmin* to *valmax* in Axes *ax*. For the slider to
+    remain responsive you must maintain a reference to it. Call
+    :meth:`on_changed` to connect to the slider event.
 
-    Call :meth:`on_changed` to connect to the slider event
+    Attributes
+    ----------
+    val : float
+        Slider value.
     """
-    def __init__(self, ax, label, valmin, valmax, valinit=0.5, valfmt='%1.2f',
+
+    def __init__(self, ax, label, valmin, valmax, *, valinit=0.5, valfmt=None,
                  closedmin=True, closedmax=True, slidermin=None,
-                 slidermax=None, dragging=True, **kwargs):
+                 slidermax=None, dragging=True, valstep=None,
+                 orientation='horizontal', initcolor='r',
+                 track_color='lightgrey', handle_style=None, **kwargs):
         """
-        Create a slider from *valmin* to *valmax* in axes *ax*.
-
-        additional kwargs are passed on to ``self.poly`` which is the
-        :class:`matplotlib.patches.Rectangle` which draws the slider
-        knob.  See the :class:`matplotlib.patches.Rectangle` documentation
-        valid property names (e.g., *facecolor*, *edgecolor*, *alpha*, ...)
-
         Parameters
         ----------
         ax : Axes
-            The Axes to put the slider in
+            The Axes to put the slider in.
 
         label : str
-            Slider label
+            Slider label.
 
         valmin : float
-            The minimum value of the slider
+            The minimum value of the slider.
 
         valmax : float
-            The maximum value of the slider
+            The maximum value of the slider.
 
-        valinit : float
-            The slider initial position
-
-        label : str
-            The slider label
+        valinit : float, default: 0.5
+            The slider initial position.
 
-        valfmt : str
-            Used to format the slider value, fprint format string
+        valfmt : str, default: None
+            %-format string used to format the slider value.  If None, a
+            `.ScalarFormatter` is used instead.
 
-        closedmin : bool
-            Indicate whether the slider interval is closed on the bottom
+        closedmin : bool, default: True
+            Whether the slider interval is closed on the bottom.
 
-        closedmax : bool
-            Indicate whether the slider interval is closed on the top
+        closedmax : bool, default: True
+            Whether the slider interval is closed on the top.
 
-        slidermin : Slider or None
+        slidermin : Slider, default: None
             Do not allow the current slider to have a value less than
-            `slidermin`
+            the value of the Slider *slidermin*.
 
-        slidermax : Slider or None
+        slidermax : Slider, default: None
             Do not allow the current slider to have a value greater than
-            `slidermax`
-
-
-        dragging : bool
-            if the slider can be dragged by the mouse
-
+            the value of the Slider *slidermax*.
+
+        dragging : bool, default: True
+            If True the slider can be dragged by the mouse.
+
+        valstep : float or array-like, default: None
+            If a float, the slider will snap to multiples of *valstep*.
+            If an array the slider will snap to the values in the array.
+
+        orientation : {'horizontal', 'vertical'}, default: 'horizontal'
+            The orientation of the slider.
+
+        initcolor : :mpltype:`color`, default: 'r'
+            The color of the line at the *valinit* position. Set to ``'none'``
+            for no line.
+
+        track_color : :mpltype:`color`, default: 'lightgrey'
+            The color of the background track. The track is accessible for
+            further styling via the *track* attribute.
+
+        handle_style : dict
+            Properties of the slider handle. Default values are
+
+            ========= ===== ======= ========================================
+            Key       Value Default Description
+            ========= ===== ======= ========================================
+            facecolor color 'white' The facecolor of the slider handle.
+            edgecolor color '.75'   The edgecolor of the slider handle.
+            size      int   10      The size of the slider handle in points.
+            ========= ===== ======= ========================================
+
+            Other values will be transformed as marker{foo} and passed to the
+            `~.Line2D` constructor. e.g. ``handle_style = {'style'='x'}`` will
+            result in ``markerstyle = 'x'``.
+
+        Notes
+        -----
+        Additional kwargs are passed on to ``self.poly`` which is the
+        `~matplotlib.patches.Rectangle` that draws the slider knob.  See the
+        `.Rectangle` documentation for valid property names (``facecolor``,
+        ``edgecolor``, ``alpha``, etc.).
         """
-        AxesWidget.__init__(self, ax)
-
-        self.valmin = valmin
-        self.valmax = valmax
-        self.val = valinit
-        self.valinit = valinit
-        self.poly = ax.axvspan(valmin, valinit, 0, 1, **kwargs)
-
-        self.vline = ax.axvline(valinit, 0, 1, color='r', lw=1)
-
-        self.valfmt = valfmt
-        ax.set_yticks([])
-        ax.set_xlim((valmin, valmax))
-        ax.set_xticks([])
-        ax.set_navigate(False)
-
-        self.connect_event('button_press_event', self._update)
-        self.connect_event('button_release_event', self._update)
-        if dragging:
-            self.connect_event('motion_notify_event', self._update)
-        self.label = ax.text(-0.02, 0.5, label, transform=ax.transAxes,
-                             verticalalignment='center',
-                             horizontalalignment='right')
-
-        self.valtext = ax.text(1.02, 0.5, valfmt % valinit,
-                               transform=ax.transAxes,
-                               verticalalignment='center',
-                               horizontalalignment='left')
-
-        self.cnt = 0
-        self.observers = {}
-
-        self.closedmin = closedmin
-        self.closedmax = closedmax
+        super().__init__(ax, orientation, closedmin, closedmax,
+                         valmin, valmax, valfmt, dragging, valstep)
+
+        if slidermin is not None and not hasattr(slidermin, 'val'):
+            raise ValueError(
+                f"Argument slidermin ({type(slidermin)}) has no 'val'")
+        if slidermax is not None and not hasattr(slidermax, 'val'):
+            raise ValueError(
+                f"Argument slidermax ({type(slidermax)}) has no 'val'")
         self.slidermin = slidermin
         self.slidermax = slidermax
-        self.drag_active = False
-
-    def _update(self, event):
-        """update the slider position"""
-        if self.ignore(event):
-            return
+        valinit = self._value_in_bounds(valinit)
+        if valinit is None:
+            valinit = valmin
+        self.val = valinit
+        self.valinit = valinit
 
-        if event.button != 1:
-            return
+        defaults = {'facecolor': 'white', 'edgecolor': '.75', 'size': 10}
+        handle_style = {} if handle_style is None else handle_style
+        marker_props = {
+            f'marker{k}': v for k, v in {**defaults, **handle_style}.items()
+        }
+
+        if orientation == 'vertical':
+            self.track = Rectangle(
+                (.25, 0), .5, 1,
+                transform=ax.transAxes,
+                facecolor=track_color
+            )
+            ax.add_patch(self.track)
+            self.poly = ax.axhspan(valmin, valinit, .25, .75, **kwargs)
+            # Drawing a longer line and clipping it to the track avoids
+            # pixelation-related asymmetries.
+            self.hline = ax.axhline(valinit, 0, 1, color=initcolor, lw=1,
+                                    clip_path=TransformedPatchPath(self.track))
+            handleXY = [[0.5], [valinit]]
+        else:
+            self.track = Rectangle(
+                (0, .25), 1, .5,
+                transform=ax.transAxes,
+                facecolor=track_color
+            )
+            ax.add_patch(self.track)
+            self.poly = ax.axvspan(valmin, valinit, .25, .75, **kwargs)
+            self.vline = ax.axvline(valinit, 0, 1, color=initcolor, lw=1,
+                                    clip_path=TransformedPatchPath(self.track))
+            handleXY = [[valinit], [0.5]]
+        self._handle, = ax.plot(
+            *handleXY,
+            "o",
+            **marker_props,
+            clip_on=False
+        )
+
+        if orientation == 'vertical':
+            self.label = ax.text(0.5, 1.02, label, transform=ax.transAxes,
+                                 verticalalignment='bottom',
+                                 horizontalalignment='center')
+
+            self.valtext = ax.text(0.5, -0.02, self._format(valinit),
+                                   transform=ax.transAxes,
+                                   verticalalignment='top',
+                                   horizontalalignment='center')
+        else:
+            self.label = ax.text(-0.02, 0.5, label, transform=ax.transAxes,
+                                 verticalalignment='center',
+                                 horizontalalignment='right')
 
-        if event.name == 'button_press_event' and event.inaxes == self.ax:
-            self.drag_active = True
-            event.canvas.grab_mouse(self.ax)
+            self.valtext = ax.text(1.02, 0.5, self._format(valinit),
+                                   transform=ax.transAxes,
+                                   verticalalignment='center',
+                                   horizontalalignment='left')
 
-        if not self.drag_active:
-            return
+        self.set_val(valinit)
 
-        elif ((event.name == 'button_release_event') or
-              (event.name == 'button_press_event' and
-               event.inaxes != self.ax)):
-            self.drag_active = False
-            event.canvas.release_mouse(self.ax)
-            return
+    def _value_in_bounds(self, val):
+        """Makes sure *val* is with given bounds."""
+        val = self._stepped_value(val)
 
-        val = event.xdata
         if val <= self.valmin:
             if not self.closedmin:
                 return
@@ -430,489 +518,1388 @@ def _update(self, event):
             if not self.closedmax:
                 return
             val = self.slidermax.val
+        return val
+
+    def _update(self, event):
+        """Update the slider position."""
+        if self.ignore(event) or event.button != 1:
+            return
+
+        if event.name == 'button_press_event' and self.ax.contains(event)[0]:
+            self.drag_active = True
+            event.canvas.grab_mouse(self.ax)
+
+        if not self.drag_active:
+            return
 
-        self.set_val(val)
+        if (event.name == 'button_release_event'
+              or event.name == 'button_press_event' and not self.ax.contains(event)[0]):
+            self.drag_active = False
+            event.canvas.release_mouse(self.ax)
+            return
+
+        xdata, ydata = self._get_data_coords(event)
+        val = self._value_in_bounds(
+            xdata if self.orientation == 'horizontal' else ydata)
+        if val not in [None, self.val]:
+            self.set_val(val)
+
+    def _format(self, val):
+        """Pretty-print *val*."""
+        if self.valfmt is not None:
+            return self.valfmt % val
+        else:
+            _, s, _ = self._fmt.format_ticks([self.valmin, val, self.valmax])
+            # fmt.get_offset is actually the multiplicative factor, if any.
+            return s + self._fmt.get_offset()
 
     def set_val(self, val):
-        xy = self.poly.xy
-        xy[2] = val, 1
-        xy[3] = val, 0
-        self.poly.xy = xy
-        self.valtext.set_text(self.valfmt % val)
+        """
+        Set slider value to *val*.
+
+        Parameters
+        ----------
+        val : float
+        """
+        if self.orientation == 'vertical':
+            self.poly.set_height(val - self.poly.get_y())
+            self._handle.set_ydata([val])
+        else:
+            self.poly.set_width(val - self.poly.get_x())
+            self._handle.set_xdata([val])
+        self.valtext.set_text(self._format(val))
         if self.drawon:
-            self.ax.figure.canvas.draw_idle()
+            self.ax.get_figure(root=True).canvas.draw_idle()
         self.val = val
-        if not self.eventson:
-            return
-        for cid, func in six.iteritems(self.observers):
-            func(val)
+        if self.eventson:
+            self._observers.process('changed', val)
 
     def on_changed(self, func):
         """
-        When the slider value is changed, call *func* with the new
-        slider position
+        Connect *func* as callback function to changes of the slider value.
 
-        A connection id is returned which can be used to disconnect
+        Parameters
+        ----------
+        func : callable
+            Function to call when slider is changed.
+            The function must accept a single float as its arguments.
+
+        Returns
+        -------
+        int
+            Connection id (which can be used to disconnect *func*).
         """
-        cid = self.cnt
-        self.observers[cid] = func
-        self.cnt += 1
-        return cid
+        return self._observers.connect('changed', lambda val: func(val))
 
-    def disconnect(self, cid):
-        """remove the observer with connection id *cid*"""
-        try:
-            del self.observers[cid]
-        except KeyError:
-            pass
 
-    def reset(self):
-        """reset the slider to the initial value if needed"""
-        if (self.val != self.valinit):
-            self.set_val(self.valinit)
+class RangeSlider(SliderBase):
+    """
+    A slider representing a range of floating point values. Defines the min and
+    max of the range via the *val* attribute as a tuple of (min, max).
 
+    Create a slider that defines a range contained within [*valmin*, *valmax*]
+    in Axes *ax*. For the slider to remain responsive you must maintain a
+    reference to it. Call :meth:`on_changed` to connect to the slider event.
 
-class CheckButtons(AxesWidget):
+    Attributes
+    ----------
+    val : tuple of float
+        Slider value.
     """
-    A GUI neutral radio button.
 
-    For the check buttons to remain responsive you much keep a
-    reference to this object.
+    def __init__(
+        self,
+        ax,
+        label,
+        valmin,
+        valmax,
+        *,
+        valinit=None,
+        valfmt=None,
+        closedmin=True,
+        closedmax=True,
+        dragging=True,
+        valstep=None,
+        orientation="horizontal",
+        track_color='lightgrey',
+        handle_style=None,
+        **kwargs,
+    ):
+        """
+        Parameters
+        ----------
+        ax : Axes
+            The Axes to put the slider in.
 
-    The following attributes are exposed
+        label : str
+            Slider label.
 
-     *ax*
-        The :class:`matplotlib.axes.Axes` instance the buttons are
-        located in
+        valmin : float
+            The minimum value of the slider.
 
-     *labels*
-        List of :class:`matplotlib.text.Text` instances
+        valmax : float
+            The maximum value of the slider.
 
-     *lines*
-        List of (line1, line2) tuples for the x's in the check boxes.
-        These lines exist for each box, but have ``set_visible(False)``
-        when its box is not checked.
+        valinit : tuple of float or None, default: None
+            The initial positions of the slider. If None the initial positions
+            will be at the 25th and 75th percentiles of the range.
 
-     *rectangles*
-        List of :class:`matplotlib.patches.Rectangle` instances
+        valfmt : str, default: None
+            %-format string used to format the slider values.  If None, a
+            `.ScalarFormatter` is used instead.
 
-    Connect to the CheckButtons with the :meth:`on_clicked` method
-    """
-    def __init__(self, ax, labels, actives):
-        """
-        Add check buttons to :class:`matplotlib.axes.Axes` instance *ax*
+        closedmin : bool, default: True
+            Whether the slider interval is closed on the bottom.
 
-        *labels*
-            A len(buttons) list of labels as strings
+        closedmax : bool, default: True
+            Whether the slider interval is closed on the top.
 
-        *actives*
-            A len(buttons) list of booleans indicating whether
-             the button is active
-        """
-        AxesWidget.__init__(self, ax)
+        dragging : bool, default: True
+            If True the slider can be dragged by the mouse.
 
-        ax.set_xticks([])
-        ax.set_yticks([])
-        ax.set_navigate(False)
+        valstep : float, default: None
+            If given, the slider will snap to multiples of *valstep*.
+
+        orientation : {'horizontal', 'vertical'}, default: 'horizontal'
+            The orientation of the slider.
+
+        track_color : :mpltype:`color`, default: 'lightgrey'
+            The color of the background track. The track is accessible for
+            further styling via the *track* attribute.
+
+        handle_style : dict
+            Properties of the slider handles. Default values are
+
+            ========= ===== ======= =========================================
+            Key       Value Default Description
+            ========= ===== ======= =========================================
+            facecolor color 'white' The facecolor of the slider handles.
+            edgecolor color '.75'   The edgecolor of the slider handles.
+            size      int   10      The size of the slider handles in points.
+            ========= ===== ======= =========================================
 
-        if len(labels) > 1:
-            dy = 1. / (len(labels) + 1)
-            ys = np.linspace(1 - dy, dy, len(labels))
+            Other values will be transformed as marker{foo} and passed to the
+            `~.Line2D` constructor. e.g. ``handle_style = {'style'='x'}`` will
+            result in ``markerstyle = 'x'``.
+
+        Notes
+        -----
+        Additional kwargs are passed on to ``self.poly`` which is the
+        `~matplotlib.patches.Polygon` that draws the slider knob.  See the
+        `.Polygon` documentation for valid property names (``facecolor``,
+        ``edgecolor``, ``alpha``, etc.).
+        """
+        super().__init__(ax, orientation, closedmin, closedmax,
+                         valmin, valmax, valfmt, dragging, valstep)
+
+        # Set a value to allow _value_in_bounds() to work.
+        self.val = (valmin, valmax)
+        if valinit is None:
+            # Place at the 25th and 75th percentiles
+            extent = valmax - valmin
+            valinit = np.array([valmin + extent * 0.25,
+                                valmin + extent * 0.75])
         else:
-            dy = 0.25
-            ys = [0.5]
-
-        cnt = 0
-        axcolor = ax.get_axis_bgcolor()
-
-        self.labels = []
-        self.lines = []
-        self.rectangles = []
-
-        lineparams = {'color': 'k', 'linewidth': 1.25,
-                      'transform': ax.transAxes, 'solid_capstyle': 'butt'}
-        for y, label in zip(ys, labels):
-            t = ax.text(0.25, y, label, transform=ax.transAxes,
-                        horizontalalignment='left',
-                        verticalalignment='center')
-
-            w, h = dy / 2., dy / 2.
-            x, y = 0.05, y - h / 2.
-
-            p = Rectangle(xy=(x, y), width=w, height=h,
-                          facecolor=axcolor,
-                          transform=ax.transAxes)
-
-            l1 = Line2D([x, x + w], [y + h, y], **lineparams)
-            l2 = Line2D([x, x + w], [y, y + h], **lineparams)
-
-            l1.set_visible(actives[cnt])
-            l2.set_visible(actives[cnt])
-            self.labels.append(t)
-            self.rectangles.append(p)
-            self.lines.append((l1, l2))
-            ax.add_patch(p)
-            ax.add_line(l1)
-            ax.add_line(l2)
-            cnt += 1
+            valinit = self._value_in_bounds(valinit)
+        self.val = valinit
+        self.valinit = valinit
 
-        self.connect_event('button_press_event', self._clicked)
+        defaults = {'facecolor': 'white', 'edgecolor': '.75', 'size': 10}
+        handle_style = {} if handle_style is None else handle_style
+        marker_props = {
+            f'marker{k}': v for k, v in {**defaults, **handle_style}.items()
+        }
+
+        if orientation == "vertical":
+            self.track = Rectangle(
+                (.25, 0), .5, 2,
+                transform=ax.transAxes,
+                facecolor=track_color
+            )
+            ax.add_patch(self.track)
+            poly_transform = self.ax.get_yaxis_transform(which="grid")
+            handleXY_1 = [.5, valinit[0]]
+            handleXY_2 = [.5, valinit[1]]
+        else:
+            self.track = Rectangle(
+                (0, .25), 1, .5,
+                transform=ax.transAxes,
+                facecolor=track_color
+            )
+            ax.add_patch(self.track)
+            poly_transform = self.ax.get_xaxis_transform(which="grid")
+            handleXY_1 = [valinit[0], .5]
+            handleXY_2 = [valinit[1], .5]
+        self.poly = Polygon(np.zeros([5, 2]), **kwargs)
+        self._update_selection_poly(*valinit)
+        self.poly.set_transform(poly_transform)
+        self.poly.get_path()._interpolation_steps = 100
+        self.ax.add_patch(self.poly)
+        self.ax._request_autoscale_view()
+        self._handles = [
+            ax.plot(
+                *handleXY_1,
+                "o",
+                **marker_props,
+                clip_on=False
+            )[0],
+            ax.plot(
+                *handleXY_2,
+                "o",
+                **marker_props,
+                clip_on=False
+            )[0]
+        ]
+
+        if orientation == "vertical":
+            self.label = ax.text(
+                0.5,
+                1.02,
+                label,
+                transform=ax.transAxes,
+                verticalalignment="bottom",
+                horizontalalignment="center",
+            )
+
+            self.valtext = ax.text(
+                0.5,
+                -0.02,
+                self._format(valinit),
+                transform=ax.transAxes,
+                verticalalignment="top",
+                horizontalalignment="center",
+            )
+        else:
+            self.label = ax.text(
+                -0.02,
+                0.5,
+                label,
+                transform=ax.transAxes,
+                verticalalignment="center",
+                horizontalalignment="right",
+            )
+
+            self.valtext = ax.text(
+                1.02,
+                0.5,
+                self._format(valinit),
+                transform=ax.transAxes,
+                verticalalignment="center",
+                horizontalalignment="left",
+            )
+
+        self._active_handle = None
+        self.set_val(valinit)
+
+    def _update_selection_poly(self, vmin, vmax):
+        """
+        Update the vertices of the *self.poly* slider in-place
+        to cover the data range *vmin*, *vmax*.
+        """
+        # The vertices are positioned
+        #  1 ------ 2
+        #  |        |
+        # 0, 4 ---- 3
+        verts = self.poly.xy
+        if self.orientation == "vertical":
+            verts[0] = verts[4] = .25, vmin
+            verts[1] = .25, vmax
+            verts[2] = .75, vmax
+            verts[3] = .75, vmin
+        else:
+            verts[0] = verts[4] = vmin, .25
+            verts[1] = vmin, .75
+            verts[2] = vmax, .75
+            verts[3] = vmax, .25
+
+    def _min_in_bounds(self, min):
+        """Ensure the new min value is between valmin and self.val[1]."""
+        if min <= self.valmin:
+            if not self.closedmin:
+                return self.val[0]
+            min = self.valmin
 
-        self.cnt = 0
-        self.observers = {}
+        if min > self.val[1]:
+            min = self.val[1]
+        return self._stepped_value(min)
 
-    def _clicked(self, event):
-        if self.ignore(event):
+    def _max_in_bounds(self, max):
+        """Ensure the new max value is between valmax and self.val[0]."""
+        if max >= self.valmax:
+            if not self.closedmax:
+                return self.val[1]
+            max = self.valmax
+
+        if max <= self.val[0]:
+            max = self.val[0]
+        return self._stepped_value(max)
+
+    def _value_in_bounds(self, vals):
+        """Clip min, max values to the bounds."""
+        return (self._min_in_bounds(vals[0]), self._max_in_bounds(vals[1]))
+
+    def _update_val_from_pos(self, pos):
+        """Update the slider value based on a given position."""
+        idx = np.argmin(np.abs(self.val - pos))
+        if idx == 0:
+            val = self._min_in_bounds(pos)
+            self.set_min(val)
+        else:
+            val = self._max_in_bounds(pos)
+            self.set_max(val)
+        if self._active_handle:
+            if self.orientation == "vertical":
+                self._active_handle.set_ydata([val])
+            else:
+                self._active_handle.set_xdata([val])
+
+    def _update(self, event):
+        """Update the slider position."""
+        if self.ignore(event) or event.button != 1:
             return
-        if event.button != 1:
+
+        if event.name == "button_press_event" and self.ax.contains(event)[0]:
+            self.drag_active = True
+            event.canvas.grab_mouse(self.ax)
+
+        if not self.drag_active:
             return
-        if event.inaxes != self.ax:
+
+        if (event.name == "button_release_event"
+              or event.name == "button_press_event" and not self.ax.contains(event)[0]):
+            self.drag_active = False
+            event.canvas.release_mouse(self.ax)
+            self._active_handle = None
             return
 
-        for p, t, lines in zip(self.rectangles, self.labels, self.lines):
-            if (t.get_window_extent().contains(event.x, event.y) or
-                    p.get_window_extent().contains(event.x, event.y)):
-                l1, l2 = lines
-                l1.set_visible(not l1.get_visible())
-                l2.set_visible(not l2.get_visible())
-                thist = t
-                break
+        # determine which handle was grabbed
+        xdata, ydata = self._get_data_coords(event)
+        handle_index = np.argmin(np.abs(
+            [h.get_xdata()[0] - xdata for h in self._handles]
+            if self.orientation == "horizontal" else
+            [h.get_ydata()[0] - ydata for h in self._handles]))
+        handle = self._handles[handle_index]
+
+        # these checks ensure smooth behavior if the handles swap which one
+        # has a higher value. i.e. if one is dragged over and past the other.
+        if handle is not self._active_handle:
+            self._active_handle = handle
+
+        self._update_val_from_pos(xdata if self.orientation == "horizontal" else ydata)
+
+    def _format(self, val):
+        """Pretty-print *val*."""
+        if self.valfmt is not None:
+            return f"({self.valfmt % val[0]}, {self.valfmt % val[1]})"
         else:
-            return
+            _, s1, s2, _ = self._fmt.format_ticks(
+                [self.valmin, *val, self.valmax]
+            )
+            # fmt.get_offset is actually the multiplicative factor, if any.
+            s1 += self._fmt.get_offset()
+            s2 += self._fmt.get_offset()
+            # Use f string to avoid issues with backslashes when cast to a str
+            return f"({s1}, {s2})"
+
+    def set_min(self, min):
+        """
+        Set the lower value of the slider to *min*.
 
-        if self.drawon:
-            self.ax.figure.canvas.draw()
+        Parameters
+        ----------
+        min : float
+        """
+        self.set_val((min, self.val[1]))
 
-        if not self.eventson:
-            return
-        for cid, func in six.iteritems(self.observers):
-            func(thist.get_text())
+    def set_max(self, max):
+        """
+        Set the lower value of the slider to *max*.
 
-    def on_clicked(self, func):
+        Parameters
+        ----------
+        max : float
         """
-        When the button is clicked, call *func* with button label
+        self.set_val((self.val[0], max))
 
-        A connection id is returned which can be used to disconnect
+    def set_val(self, val):
         """
-        cid = self.cnt
-        self.observers[cid] = func
-        self.cnt += 1
-        return cid
+        Set slider value to *val*.
 
-    def disconnect(self, cid):
-        """remove the observer with connection id *cid*"""
-        try:
-            del self.observers[cid]
-        except KeyError:
-            pass
+        Parameters
+        ----------
+        val : tuple or array-like of float
+        """
+        val = np.sort(val)
+        _api.check_shape((2,), val=val)
+        # Reset value to allow _value_in_bounds() to work.
+        self.val = (self.valmin, self.valmax)
+        vmin, vmax = self._value_in_bounds(val)
+        self._update_selection_poly(vmin, vmax)
+        if self.orientation == "vertical":
+            self._handles[0].set_ydata([vmin])
+            self._handles[1].set_ydata([vmax])
+        else:
+            self._handles[0].set_xdata([vmin])
+            self._handles[1].set_xdata([vmax])
 
+        self.valtext.set_text(self._format((vmin, vmax)))
 
-class RadioButtons(AxesWidget):
-    """
-    A GUI neutral radio button
+        if self.drawon:
+            self.ax.get_figure(root=True).canvas.draw_idle()
+        self.val = (vmin, vmax)
+        if self.eventson:
+            self._observers.process("changed", (vmin, vmax))
 
-    For the buttons to remain responsive
-    you much keep a reference to this object.
+    def on_changed(self, func):
+        """
+        Connect *func* as callback function to changes of the slider value.
 
-    The following attributes are exposed
+        Parameters
+        ----------
+        func : callable
+            Function to call when slider is changed. The function
+            must accept a 2-tuple of floats as its argument.
+
+        Returns
+        -------
+        int
+            Connection id (which can be used to disconnect *func*).
+        """
+        return self._observers.connect('changed', lambda val: func(val))
 
-     *ax*
-        The :class:`matplotlib.axes.Axes` instance the buttons are in
 
-     *activecolor*
-        The color of the button when clicked
+def _expand_text_props(props):
+    props = cbook.normalize_kwargs(props, mtext.Text)
+    return cycler(**props)() if props else itertools.repeat({})
 
-     *labels*
-        A list of :class:`matplotlib.text.Text` instances
 
-     *circles*
-        A list of :class:`matplotlib.patches.Circle` instances
+class CheckButtons(AxesWidget):
+    r"""
+    A GUI neutral set of check buttons.
 
-    Connect to the RadioButtons with the :meth:`on_clicked` method
-    """
-    def __init__(self, ax, labels, active=0, activecolor='blue'):
-        """
-        Add radio buttons to :class:`matplotlib.axes.Axes` instance *ax*
+    For the check buttons to remain responsive you must keep a
+    reference to this object.
 
-        *labels*
-            A len(buttons) list of labels as strings
+    Connect to the CheckButtons with the `.on_clicked` method.
 
-        *active*
-            The index into labels for the button that is active
+    Attributes
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    labels : list of `~matplotlib.text.Text`
+        The text label objects of the check buttons.
+    """
+
+    def __init__(self, ax, labels, actives=None, *, useblit=True,
+                 label_props=None, frame_props=None, check_props=None):
+        """
+        Add check buttons to `~.axes.Axes` instance *ax*.
 
-        *activecolor*
-            The color of the button when clicked
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The parent Axes for the widget.
+        labels : list of str
+            The labels of the check buttons.
+        actives : list of bool, optional
+            The initial check states of the buttons. The list must have the
+            same length as *labels*. If not given, all buttons are unchecked.
+        useblit : bool, default: True
+            Use blitting for faster drawing if supported by the backend.
+            See the tutorial :ref:`blitting` for details.
+
+            .. versionadded:: 3.7
+
+        label_props : dict, optional
+            Dictionary of `.Text` properties to be used for the labels.
+
+            .. versionadded:: 3.7
+        frame_props : dict, optional
+            Dictionary of scatter `.Collection` properties to be used for the
+            check button frame. Defaults (label font size / 2)**2 size, black
+            edgecolor, no facecolor, and 1.0 linewidth.
+
+            .. versionadded:: 3.7
+        check_props : dict, optional
+            Dictionary of scatter `.Collection` properties to be used for the
+            check button check. Defaults to (label font size / 2)**2 size,
+            black color, and 1.0 linewidth.
+
+            .. versionadded:: 3.7
         """
-        AxesWidget.__init__(self, ax)
+        super().__init__(ax)
 
-        self.activecolor = activecolor
+        _api.check_isinstance((dict, None), label_props=label_props,
+                              frame_props=frame_props, check_props=check_props)
 
         ax.set_xticks([])
         ax.set_yticks([])
         ax.set_navigate(False)
-        dy = 1. / (len(labels) + 1)
-        ys = np.linspace(1 - dy, dy, len(labels))
-        cnt = 0
-        axcolor = ax.get_axis_bgcolor()
-
-        self.labels = []
-        self.circles = []
-        for y, label in zip(ys, labels):
-            t = ax.text(0.25, y, label, transform=ax.transAxes,
-                        horizontalalignment='left',
-                        verticalalignment='center')
-
-            if cnt == active:
-                facecolor = activecolor
-            else:
-                facecolor = axcolor
 
-            p = Circle(xy=(0.15, y), radius=0.05, facecolor=facecolor,
-                       transform=ax.transAxes)
-
-            self.labels.append(t)
-            self.circles.append(p)
-            ax.add_patch(p)
-            cnt += 1
+        if actives is None:
+            actives = [False] * len(labels)
+
+        self._useblit = useblit and self.canvas.supports_blit
+        self._background = None
+
+        ys = np.linspace(1, 0, len(labels)+2)[1:-1]
+
+        label_props = _expand_text_props(label_props)
+        self.labels = [
+            ax.text(0.25, y, label, transform=ax.transAxes,
+                    horizontalalignment="left", verticalalignment="center",
+                    **props)
+            for y, label, props in zip(ys, labels, label_props)]
+        text_size = np.array([text.get_fontsize() for text in self.labels]) / 2
+
+        frame_props = {
+            's': text_size**2,
+            'linewidth': 1,
+            **cbook.normalize_kwargs(frame_props, collections.PathCollection),
+            'marker': 's',
+            'transform': ax.transAxes,
+        }
+        frame_props.setdefault('facecolor', frame_props.get('color', 'none'))
+        frame_props.setdefault('edgecolor', frame_props.pop('color', 'black'))
+        self._frames = ax.scatter([0.15] * len(ys), ys, **frame_props)
+        check_props = {
+            'linewidth': 1,
+            's': text_size**2,
+            **cbook.normalize_kwargs(check_props, collections.PathCollection),
+            'marker': 'x',
+            'transform': ax.transAxes,
+            'animated': self._useblit,
+        }
+        check_props.setdefault('facecolor', check_props.pop('color', 'black'))
+        self._checks = ax.scatter([0.15] * len(ys), ys, **check_props)
+        # The user may have passed custom colours in check_props, so we need to
+        # create the checks (above), and modify the visibility after getting
+        # whatever the user set.
+        self._init_status(actives)
 
         self.connect_event('button_press_event', self._clicked)
+        if self._useblit:
+            self.connect_event('draw_event', self._clear)
 
-        self.cnt = 0
-        self.observers = {}
+        self._observers = cbook.CallbackRegistry(signals=["clicked"])
 
-    def _clicked(self, event):
-        if self.ignore(event):
-            return
-        if event.button != 1:
-            return
-        if event.inaxes != self.ax:
-            return
-        xy = self.ax.transAxes.inverted().transform_point((event.x, event.y))
-        pclicked = np.array([xy[0], xy[1]])
-
-        def inside(p):
-            pcirc = np.array([p.center[0], p.center[1]])
-            return dist(pclicked, pcirc) < p.radius
-
-        for p, t in zip(self.circles, self.labels):
-            if t.get_window_extent().contains(event.x, event.y) or inside(p):
-                inp = p
-                thist = t
-                break
-        else:
+    def _clear(self, event):
+        """Internal event handler to clear the buttons."""
+        if self.ignore(event) or self.canvas.is_saving():
             return
+        self._background = self.canvas.copy_from_bbox(self.ax.bbox)
+        self.ax.draw_artist(self._checks)
 
-        for p in self.circles:
-            if p == inp:
-                color = self.activecolor
-            else:
-                color = self.ax.get_axis_bgcolor()
-            p.set_facecolor(color)
-
-        if self.drawon:
-            self.ax.figure.canvas.draw()
-
-        if not self.eventson:
+    def _clicked(self, event):
+        if self.ignore(event) or event.button != 1 or not self.ax.contains(event)[0]:
             return
-        for cid, func in six.iteritems(self.observers):
-            func(thist.get_text())
-
-    def on_clicked(self, func):
+        idxs = [  # Indices of frames and of texts that contain the event.
+            *self._frames.contains(event)[1]["ind"],
+            *[i for i, text in enumerate(self.labels) if text.contains(event)[0]]]
+        if idxs:
+            coords = self._frames.get_offset_transform().transform(
+                self._frames.get_offsets())
+            self.set_active(  # Closest index, only looking in idxs.
+                idxs[(((event.x, event.y) - coords[idxs]) ** 2).sum(-1).argmin()])
+
+    def set_label_props(self, props):
         """
-        When the button is clicked, call *func* with button label
+        Set properties of the `.Text` labels.
+
+        .. versionadded:: 3.7
 
-        A connection id is returned which can be used to disconnect
+        Parameters
+        ----------
+        props : dict
+            Dictionary of `.Text` properties to be used for the labels.
         """
-        cid = self.cnt
-        self.observers[cid] = func
-        self.cnt += 1
-        return cid
+        _api.check_isinstance(dict, props=props)
+        props = _expand_text_props(props)
+        for text, prop in zip(self.labels, props):
+            text.update(prop)
 
-    def disconnect(self, cid):
-        """remove the observer with connection id *cid*"""
-        try:
-            del self.observers[cid]
-        except KeyError:
-            pass
+    def set_frame_props(self, props):
+        """
+        Set properties of the check button frames.
 
+        .. versionadded:: 3.7
 
-class SubplotTool(Widget):
-    """
-    A tool to adjust to subplot params of a :class:`matplotlib.figure.Figure`
-    """
-    def __init__(self, targetfig, toolfig):
+        Parameters
+        ----------
+        props : dict
+            Dictionary of `.Collection` properties to be used for the check
+            button frames.
         """
-        *targetfig*
-            The figure instance to adjust
+        _api.check_isinstance(dict, props=props)
+        if 's' in props:  # Keep API consistent with constructor.
+            props['sizes'] = np.broadcast_to(props.pop('s'), len(self.labels))
+        self._frames.update(props)
 
-        *toolfig*
-            The figure instance to embed the subplot tool into. If
-            None, a default figure will be created. If you are using
-            this from the GUI
+    def set_check_props(self, props):
         """
-        # FIXME: The docstring seems to just abruptly end without...
+        Set properties of the check button checks.
 
-        self.targetfig = targetfig
-        toolfig.subplots_adjust(left=0.2, right=0.9)
+        .. versionadded:: 3.7
 
-        class toolbarfmt:
-            def __init__(self, slider):
-                self.slider = slider
-
-            def __call__(self, x, y):
-                fmt = '%s=%s' % (self.slider.label.get_text(),
-                                 self.slider.valfmt)
-                return fmt % x
-
-        self.axleft = toolfig.add_subplot(711)
-        self.axleft.set_title('Click on slider to adjust subplot param')
-        self.axleft.set_navigate(False)
-
-        self.sliderleft = Slider(self.axleft, 'left',
-                                 0, 1, targetfig.subplotpars.left,
-                                 closedmax=False)
-        self.sliderleft.on_changed(self.funcleft)
-
-        self.axbottom = toolfig.add_subplot(712)
-        self.axbottom.set_navigate(False)
-        self.sliderbottom = Slider(self.axbottom,
-                                   'bottom', 0, 1,
-                                   targetfig.subplotpars.bottom,
-                                   closedmax=False)
-        self.sliderbottom.on_changed(self.funcbottom)
-
-        self.axright = toolfig.add_subplot(713)
-        self.axright.set_navigate(False)
-        self.sliderright = Slider(self.axright, 'right', 0, 1,
-                                  targetfig.subplotpars.right,
-                                  closedmin=False)
-        self.sliderright.on_changed(self.funcright)
-
-        self.axtop = toolfig.add_subplot(714)
-        self.axtop.set_navigate(False)
-        self.slidertop = Slider(self.axtop, 'top', 0, 1,
-                                targetfig.subplotpars.top,
-                                closedmin=False)
-        self.slidertop.on_changed(self.functop)
-
-        self.axwspace = toolfig.add_subplot(715)
-        self.axwspace.set_navigate(False)
-        self.sliderwspace = Slider(self.axwspace, 'wspace',
-                                   0, 1, targetfig.subplotpars.wspace,
-                                   closedmax=False)
-        self.sliderwspace.on_changed(self.funcwspace)
-
-        self.axhspace = toolfig.add_subplot(716)
-        self.axhspace.set_navigate(False)
-        self.sliderhspace = Slider(self.axhspace, 'hspace',
-                                   0, 1, targetfig.subplotpars.hspace,
-                                   closedmax=False)
-        self.sliderhspace.on_changed(self.funchspace)
+        Parameters
+        ----------
+        props : dict
+            Dictionary of `.Collection` properties to be used for the check
+            button check.
+        """
+        _api.check_isinstance(dict, props=props)
+        if 's' in props:  # Keep API consistent with constructor.
+            props['sizes'] = np.broadcast_to(props.pop('s'), len(self.labels))
+        actives = self.get_status()
+        self._checks.update(props)
+        # If new colours are supplied, then we must re-apply the status.
+        self._init_status(actives)
+
+    def set_active(self, index, state=None):
+        """
+        Modify the state of a check button by index.
 
-        # constraints
-        self.sliderleft.slidermax = self.sliderright
-        self.sliderright.slidermin = self.sliderleft
-        self.sliderbottom.slidermax = self.slidertop
-        self.slidertop.slidermin = self.sliderbottom
+        Callbacks will be triggered if :attr:`!eventson` is True.
 
-        bax = toolfig.add_axes([0.8, 0.05, 0.15, 0.075])
-        self.buttonreset = Button(bax, 'Reset')
+        Parameters
+        ----------
+        index : int
+            Index of the check button to toggle.
+
+        state : bool, optional
+            If a boolean value, set the state explicitly. If no value is
+            provided, the state is toggled.
+
+        Raises
+        ------
+        ValueError
+            If *index* is invalid.
+        TypeError
+            If *state* is not boolean.
+        """
+        if index not in range(len(self.labels)):
+            raise ValueError(f'Invalid CheckButton index: {index}')
+        _api.check_isinstance((bool, None), state=state)
 
-        sliders = (self.sliderleft, self.sliderbottom, self.sliderright,
-                   self.slidertop, self.sliderwspace, self.sliderhspace,)
+        invisible = colors.to_rgba('none')
 
-        def func(event):
-            thisdrawon = self.drawon
+        facecolors = self._checks.get_facecolor()
+        if state is None:
+            state = colors.same_color(facecolors[index], invisible)
+        facecolors[index] = self._active_check_colors[index] if state else invisible
+        self._checks.set_facecolor(facecolors)
 
-            self.drawon = False
+        if self.drawon:
+            if self._useblit:
+                if self._background is not None:
+                    self.canvas.restore_region(self._background)
+                self.ax.draw_artist(self._checks)
+                self.canvas.blit(self.ax.bbox)
+            else:
+                self.canvas.draw()
 
-            # store the drawon state of each slider
-            bs = []
-            for slider in sliders:
-                bs.append(slider.drawon)
-                slider.drawon = False
+        if self.eventson:
+            self._observers.process('clicked', self.labels[index].get_text())
 
-            # reset the slider to the initial position
-            for slider in sliders:
-                slider.reset()
+    def _init_status(self, actives):
+        """
+        Initialize properties to match active status.
 
-            # reset drawon
-            for slider, b in zip(sliders, bs):
-                slider.drawon = b
+        The user may have passed custom colours in *check_props* to the
+        constructor, or to `.set_check_props`, so we need to modify the
+        visibility after getting whatever the user set.
+        """
+        self._active_check_colors = self._checks.get_facecolor()
+        if len(self._active_check_colors) == 1:
+            self._active_check_colors = np.repeat(self._active_check_colors,
+                                                  len(actives), axis=0)
+        self._checks.set_facecolor(
+            [ec if active else "none"
+             for ec, active in zip(self._active_check_colors, actives)])
 
-            # draw the canvas
-            self.drawon = thisdrawon
-            if self.drawon:
-                toolfig.canvas.draw()
-                self.targetfig.canvas.draw()
-
-        # during reset there can be a temporary invalid state
-        # depending on the order of the reset so we turn off
-        # validation for the resetting
-        validate = toolfig.subplotpars.validate
-        toolfig.subplotpars.validate = False
-        self.buttonreset.on_clicked(func)
-        toolfig.subplotpars.validate = validate
-
-    def funcleft(self, val):
-        self.targetfig.subplots_adjust(left=val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
+    def clear(self):
+        """Uncheck all checkboxes."""
 
-    def funcright(self, val):
-        self.targetfig.subplots_adjust(right=val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
+        self._checks.set_facecolor(['none'] * len(self._active_check_colors))
 
-    def funcbottom(self, val):
-        self.targetfig.subplots_adjust(bottom=val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
+        if hasattr(self, '_lines'):
+            for l1, l2 in self._lines:
+                l1.set_visible(False)
+                l2.set_visible(False)
 
-    def functop(self, val):
-        self.targetfig.subplots_adjust(top=val)
         if self.drawon:
-            self.targetfig.canvas.draw()
+            self.canvas.draw()
 
-    def funcwspace(self, val):
-        self.targetfig.subplots_adjust(wspace=val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
+        if self.eventson:
+            # Call with no label, as all checkboxes are being cleared.
+            self._observers.process('clicked', None)
 
-    def funchspace(self, val):
-        self.targetfig.subplots_adjust(hspace=val)
-        if self.drawon:
-            self.targetfig.canvas.draw()
+    def get_status(self):
+        """
+        Return a list of the status (True/False) of all of the check buttons.
+        """
+        return [not colors.same_color(color, colors.to_rgba("none"))
+                for color in self._checks.get_facecolors()]
 
+    def get_checked_labels(self):
+        """Return a list of labels currently checked by user."""
 
-class Cursor(AxesWidget):
+        return [l.get_text() for l, box_checked in
+                zip(self.labels, self.get_status())
+                if box_checked]
+
+    def on_clicked(self, func):
+        """
+        Connect the callback function *func* to button click events.
+
+        Parameters
+        ----------
+        func : callable
+            When the button is clicked, call *func* with button label.
+            When all buttons are cleared, call *func* with None.
+            The callback func must have the signature::
+
+                def func(label: str | None) -> Any
+
+            Return values may exist, but are ignored.
+
+        Returns
+        -------
+        A connection id, which can be used to disconnect the callback.
+        """
+        return self._observers.connect('clicked', lambda text: func(text))
+
+    def disconnect(self, cid):
+        """Remove the observer with connection id *cid*."""
+        self._observers.disconnect(cid)
+
+
+class TextBox(AxesWidget):
     """
-    A horizontal and vertical line span the axes that and move with
-    the pointer.  You can turn off the hline or vline spectively with
-    the attributes
+    A GUI neutral text input box.
+
+    For the text box to remain responsive you must keep a reference to it.
 
-      *horizOn*
-        Controls the visibility of the horizontal line
+    Call `.on_text_change` to be updated whenever the text changes.
 
-      *vertOn*
-        Controls the visibility of the horizontal line
+    Call `.on_submit` to be updated whenever the user hits enter or
+    leaves the text entry field.
 
-    and the visibility of the cursor itself with the *visible* attribute.
+    Attributes
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    label : `~matplotlib.text.Text`
 
-    For the cursor to remain responsive you much keep a reference to
-    it.
+    color : :mpltype:`color`
+        The color of the text box when not hovering.
+    hovercolor : :mpltype:`color`
+        The color of the text box when hovering.
     """
-    def __init__(self, ax, horizOn=True, vertOn=True, useblit=False,
-                 **lineprops):
+
+    def __init__(self, ax, label, initial='', *,
+                 color='.95', hovercolor='1', label_pad=.01,
+                 textalignment="left"):
+        """
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The `~.axes.Axes` instance the button will be placed into.
+        label : str
+            Label for this text box.
+        initial : str
+            Initial value in the text box.
+        color : :mpltype:`color`
+            The color of the box.
+        hovercolor : :mpltype:`color`
+            The color of the box when the mouse is over it.
+        label_pad : float
+            The distance between the label and the right side of the textbox.
+        textalignment : {'left', 'center', 'right'}
+            The horizontal location of the text.
+        """
+        super().__init__(ax)
+
+        self._text_position = _api.check_getitem(
+            {"left": 0.05, "center": 0.5, "right": 0.95},
+            textalignment=textalignment)
+
+        self.label = ax.text(
+            -label_pad, 0.5, label, transform=ax.transAxes,
+            verticalalignment='center', horizontalalignment='right')
+
+        # TextBox's text object should not parse mathtext at all.
+        self.text_disp = self.ax.text(
+            self._text_position, 0.5, initial, transform=self.ax.transAxes,
+            verticalalignment='center', horizontalalignment=textalignment,
+            parse_math=False)
+
+        self._observers = cbook.CallbackRegistry(signals=["change", "submit"])
+
+        ax.set(
+            xlim=(0, 1), ylim=(0, 1),  # s.t. cursor appears from first click.
+            navigate=False, facecolor=color,
+            xticks=[], yticks=[])
+
+        self.cursor_index = 0
+
+        self.cursor = ax.vlines(0, 0, 0, visible=False, color="k", lw=1,
+                                transform=mpl.transforms.IdentityTransform())
+
+        self.connect_event('button_press_event', self._click)
+        self.connect_event('button_release_event', self._release)
+        self.connect_event('motion_notify_event', self._motion)
+        self.connect_event('key_press_event', self._keypress)
+        self.connect_event('resize_event', self._resize)
+
+        self.color = color
+        self.hovercolor = hovercolor
+
+        self.capturekeystrokes = False
+
+    @property
+    def text(self):
+        return self.text_disp.get_text()
+
+    def _rendercursor(self):
+        # this is a hack to figure out where the cursor should go.
+        # we draw the text up to where the cursor should go, measure
+        # and save its dimensions, draw the real text, then put the cursor
+        # at the saved dimensions
+
+        # This causes a single extra draw if the figure has never been rendered
+        # yet, which should be fine as we're going to repeatedly re-render the
+        # figure later anyways.
+        fig = self.ax.get_figure(root=True)
+        if fig._get_renderer() is None:
+            fig.canvas.draw()
+
+        text = self.text_disp.get_text()  # Save value before overwriting it.
+        widthtext = text[:self.cursor_index]
+
+        bb_text = self.text_disp.get_window_extent()
+        self.text_disp.set_text(widthtext or ",")
+        bb_widthtext = self.text_disp.get_window_extent()
+
+        if bb_text.y0 == bb_text.y1:  # Restoring the height if no text.
+            bb_text.y0 -= bb_widthtext.height / 2
+            bb_text.y1 += bb_widthtext.height / 2
+        elif not widthtext:  # Keep width to 0.
+            bb_text.x1 = bb_text.x0
+        else:  # Move the cursor using width of bb_widthtext.
+            bb_text.x1 = bb_text.x0 + bb_widthtext.width
+
+        self.cursor.set(
+            segments=[[(bb_text.x1, bb_text.y0), (bb_text.x1, bb_text.y1)]],
+            visible=True)
+        self.text_disp.set_text(text)
+
+        fig.canvas.draw()
+
+    def _release(self, event):
+        if self.ignore(event):
+            return
+        if event.canvas.mouse_grabber != self.ax:
+            return
+        event.canvas.release_mouse(self.ax)
+
+    def _keypress(self, event):
+        if self.ignore(event):
+            return
+        if self.capturekeystrokes:
+            key = event.key
+            text = self.text
+            if len(key) == 1:
+                text = (text[:self.cursor_index] + key +
+                        text[self.cursor_index:])
+                self.cursor_index += 1
+            elif key == "right":
+                if self.cursor_index != len(text):
+                    self.cursor_index += 1
+            elif key == "left":
+                if self.cursor_index != 0:
+                    self.cursor_index -= 1
+            elif key == "home":
+                self.cursor_index = 0
+            elif key == "end":
+                self.cursor_index = len(text)
+            elif key == "backspace":
+                if self.cursor_index != 0:
+                    text = (text[:self.cursor_index - 1] +
+                            text[self.cursor_index:])
+                    self.cursor_index -= 1
+            elif key == "delete":
+                if self.cursor_index != len(self.text):
+                    text = (text[:self.cursor_index] +
+                            text[self.cursor_index + 1:])
+            self.text_disp.set_text(text)
+            self._rendercursor()
+            if self.eventson:
+                self._observers.process('change', self.text)
+                if key in ["enter", "return"]:
+                    self._observers.process('submit', self.text)
+
+    def set_val(self, val):
+        newval = str(val)
+        if self.text == newval:
+            return
+        self.text_disp.set_text(newval)
+        self._rendercursor()
+        if self.eventson:
+            self._observers.process('change', self.text)
+            self._observers.process('submit', self.text)
+
+    def begin_typing(self):
+        self.capturekeystrokes = True
+        # Disable keypress shortcuts, which may otherwise cause the figure to
+        # be saved, closed, etc., until the user stops typing.  The way to
+        # achieve this depends on whether toolmanager is in use.
+        stack = ExitStack()  # Register cleanup actions when user stops typing.
+        self._on_stop_typing = stack.close
+        toolmanager = getattr(
+            self.ax.get_figure(root=True).canvas.manager, "toolmanager", None)
+        if toolmanager is not None:
+            # If using toolmanager, lock keypresses, and plan to release the
+            # lock when typing stops.
+            toolmanager.keypresslock(self)
+            stack.callback(toolmanager.keypresslock.release, self)
+        else:
+            # If not using toolmanager, disable all keypress-related rcParams.
+            # Avoid spurious warnings if keymaps are getting deprecated.
+            with _api.suppress_matplotlib_deprecation_warning():
+                stack.enter_context(mpl.rc_context(
+                    {k: [] for k in mpl.rcParams if k.startswith("keymap.")}))
+
+    def stop_typing(self):
+        if self.capturekeystrokes:
+            self._on_stop_typing()
+            self._on_stop_typing = None
+            notifysubmit = True
+        else:
+            notifysubmit = False
+        self.capturekeystrokes = False
+        self.cursor.set_visible(False)
+        self.ax.get_figure(root=True).canvas.draw()
+        if notifysubmit and self.eventson:
+            # Because process() might throw an error in the user's code, only
+            # call it once we've already done our cleanup.
+            self._observers.process('submit', self.text)
+
+    def _click(self, event):
+        if self.ignore(event):
+            return
+        if not self.ax.contains(event)[0]:
+            self.stop_typing()
+            return
+        if not self.eventson:
+            return
+        if event.canvas.mouse_grabber != self.ax:
+            event.canvas.grab_mouse(self.ax)
+        if not self.capturekeystrokes:
+            self.begin_typing()
+        self.cursor_index = self.text_disp._char_index_at(event.x)
+        self._rendercursor()
+
+    def _resize(self, event):
+        self.stop_typing()
+
+    def _motion(self, event):
+        if self.ignore(event):
+            return
+        c = self.hovercolor if self.ax.contains(event)[0] else self.color
+        if not colors.same_color(c, self.ax.get_facecolor()):
+            self.ax.set_facecolor(c)
+            if self.drawon:
+                self.ax.get_figure(root=True).canvas.draw()
+
+    def on_text_change(self, func):
+        """
+        When the text changes, call this *func* with event.
+
+        A connection id is returned which can be used to disconnect.
+        """
+        return self._observers.connect('change', lambda text: func(text))
+
+    def on_submit(self, func):
+        """
+        When the user hits enter or leaves the submission box, call this
+        *func* with event.
+
+        A connection id is returned which can be used to disconnect.
+        """
+        return self._observers.connect('submit', lambda text: func(text))
+
+    def disconnect(self, cid):
+        """Remove the observer with connection id *cid*."""
+        self._observers.disconnect(cid)
+
+
+class RadioButtons(AxesWidget):
+    """
+    A GUI neutral radio button.
+
+    For the buttons to remain responsive you must keep a reference to this
+    object.
+
+    Connect to the RadioButtons with the `.on_clicked` method.
+
+    Attributes
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    activecolor : :mpltype:`color`
+        The color of the selected button.
+    labels : list of `.Text`
+        The button labels.
+    value_selected : str
+        The label text of the currently selected button.
+    index_selected : int
+        The index of the selected button.
+    """
+
+    def __init__(self, ax, labels, active=0, activecolor=None, *,
+                 useblit=True, label_props=None, radio_props=None):
+        """
+        Add radio buttons to an `~.axes.Axes`.
+
+        Parameters
+        ----------
+        ax : `~matplotlib.axes.Axes`
+            The Axes to add the buttons to.
+        labels : list of str
+            The button labels.
+        active : int
+            The index of the initially selected button.
+        activecolor : :mpltype:`color`
+            The color of the selected button. The default is ``'blue'`` if not
+            specified here or in *radio_props*.
+        useblit : bool, default: True
+            Use blitting for faster drawing if supported by the backend.
+            See the tutorial :ref:`blitting` for details.
+
+            .. versionadded:: 3.7
+
+        label_props : dict or list of dict, optional
+            Dictionary of `.Text` properties to be used for the labels.
+
+            .. versionadded:: 3.7
+        radio_props : dict, optional
+            Dictionary of scatter `.Collection` properties to be used for the
+            radio buttons. Defaults to (label font size / 2)**2 size, black
+            edgecolor, and *activecolor* facecolor (when active).
+
+            .. note::
+                If a facecolor is supplied in *radio_props*, it will override
+                *activecolor*. This may be used to provide an active color per
+                button.
+
+            .. versionadded:: 3.7
+        """
+        super().__init__(ax)
+
+        _api.check_isinstance((dict, None), label_props=label_props,
+                              radio_props=radio_props)
+
+        radio_props = cbook.normalize_kwargs(radio_props,
+                                             collections.PathCollection)
+        if activecolor is not None:
+            if 'facecolor' in radio_props:
+                _api.warn_external(
+                    'Both the *activecolor* parameter and the *facecolor* '
+                    'key in the *radio_props* parameter has been specified. '
+                    '*activecolor* will be ignored.')
+        else:
+            activecolor = 'blue'  # Default.
+
+        self._activecolor = activecolor
+        self._initial_active = active
+        self.value_selected = labels[active]
+        self.index_selected = active
+
+        ax.set_xticks([])
+        ax.set_yticks([])
+        ax.set_navigate(False)
+
+        ys = np.linspace(1, 0, len(labels) + 2)[1:-1]
+
+        self._useblit = useblit and self.canvas.supports_blit
+        self._background = None
+
+        label_props = _expand_text_props(label_props)
+        self.labels = [
+            ax.text(0.25, y, label, transform=ax.transAxes,
+                    horizontalalignment="left", verticalalignment="center",
+                    **props)
+            for y, label, props in zip(ys, labels, label_props)]
+        text_size = np.array([text.get_fontsize() for text in self.labels]) / 2
+
+        radio_props = {
+            's': text_size**2,
+            **radio_props,
+            'marker': 'o',
+            'transform': ax.transAxes,
+            'animated': self._useblit,
+        }
+        radio_props.setdefault('edgecolor', radio_props.get('color', 'black'))
+        radio_props.setdefault('facecolor',
+                               radio_props.pop('color', activecolor))
+        self._buttons = ax.scatter([.15] * len(ys), ys, **radio_props)
+        # The user may have passed custom colours in radio_props, so we need to
+        # create the radios, and modify the visibility after getting whatever
+        # the user set.
+        self._active_colors = self._buttons.get_facecolor()
+        if len(self._active_colors) == 1:
+            self._active_colors = np.repeat(self._active_colors, len(labels),
+                                            axis=0)
+        self._buttons.set_facecolor(
+            [activecolor if i == active else "none"
+             for i, activecolor in enumerate(self._active_colors)])
+
+        self.connect_event('button_press_event', self._clicked)
+        if self._useblit:
+            self.connect_event('draw_event', self._clear)
+
+        self._observers = cbook.CallbackRegistry(signals=["clicked"])
+
+    def _clear(self, event):
+        """Internal event handler to clear the buttons."""
+        if self.ignore(event) or self.canvas.is_saving():
+            return
+        self._background = self.canvas.copy_from_bbox(self.ax.bbox)
+        self.ax.draw_artist(self._buttons)
+
+    def _clicked(self, event):
+        if self.ignore(event) or event.button != 1 or not self.ax.contains(event)[0]:
+            return
+        idxs = [  # Indices of buttons and of texts that contain the event.
+            *self._buttons.contains(event)[1]["ind"],
+            *[i for i, text in enumerate(self.labels) if text.contains(event)[0]]]
+        if idxs:
+            coords = self._buttons.get_offset_transform().transform(
+                self._buttons.get_offsets())
+            self.set_active(  # Closest index, only looking in idxs.
+                idxs[(((event.x, event.y) - coords[idxs]) ** 2).sum(-1).argmin()])
+
+    def set_label_props(self, props):
+        """
+        Set properties of the `.Text` labels.
+
+        .. versionadded:: 3.7
+
+        Parameters
+        ----------
+        props : dict
+            Dictionary of `.Text` properties to be used for the labels.
+        """
+        _api.check_isinstance(dict, props=props)
+        props = _expand_text_props(props)
+        for text, prop in zip(self.labels, props):
+            text.update(prop)
+
+    def set_radio_props(self, props):
+        """
+        Set properties of the `.Text` labels.
+
+        .. versionadded:: 3.7
+
+        Parameters
+        ----------
+        props : dict
+            Dictionary of `.Collection` properties to be used for the radio
+            buttons.
+        """
+        _api.check_isinstance(dict, props=props)
+        if 's' in props:  # Keep API consistent with constructor.
+            props['sizes'] = np.broadcast_to(props.pop('s'), len(self.labels))
+        self._buttons.update(props)
+        self._active_colors = self._buttons.get_facecolor()
+        if len(self._active_colors) == 1:
+            self._active_colors = np.repeat(self._active_colors,
+                                            len(self.labels), axis=0)
+        self._buttons.set_facecolor(
+            [activecolor if text.get_text() == self.value_selected else "none"
+             for text, activecolor in zip(self.labels, self._active_colors)])
+
+    @property
+    def activecolor(self):
+        return self._activecolor
+
+    @activecolor.setter
+    def activecolor(self, activecolor):
+        colors._check_color_like(activecolor=activecolor)
+        self._activecolor = activecolor
+        self.set_radio_props({'facecolor': activecolor})
+
+    def set_active(self, index):
+        """
+        Select button with number *index*.
+
+        Callbacks will be triggered if :attr:`!eventson` is True.
+
+        Parameters
+        ----------
+        index : int
+            The index of the button to activate.
+
+        Raises
+        ------
+        ValueError
+            If the index is invalid.
+        """
+        if index not in range(len(self.labels)):
+            raise ValueError(f'Invalid RadioButton index: {index}')
+        self.value_selected = self.labels[index].get_text()
+        self.index_selected = index
+        button_facecolors = self._buttons.get_facecolor()
+        button_facecolors[:] = colors.to_rgba("none")
+        button_facecolors[index] = colors.to_rgba(self._active_colors[index])
+        self._buttons.set_facecolor(button_facecolors)
+
+        if self.drawon:
+            if self._useblit:
+                if self._background is not None:
+                    self.canvas.restore_region(self._background)
+                self.ax.draw_artist(self._buttons)
+                self.canvas.blit(self.ax.bbox)
+            else:
+                self.canvas.draw()
+
+        if self.eventson:
+            self._observers.process('clicked', self.labels[index].get_text())
+
+    def clear(self):
+        """Reset the active button to the initially active one."""
+        self.set_active(self._initial_active)
+
+    def on_clicked(self, func):
         """
-        Add a cursor to *ax*.  If ``useblit=True``, use the backend-
-        dependent blitting features for faster updates (GTKAgg
-        only for now).  *lineprops* is a dictionary of line properties.
+        Connect the callback function *func* to button click events.
+
+        Parameters
+        ----------
+        func : callable
+            When the button is clicked, call *func* with button label.
+            When all buttons are cleared, call *func* with None.
+            The callback func must have the signature::
 
-        .. plot :: mpl_examples/widgets/cursor.py
+                def func(label: str | None) -> Any
+
+            Return values may exist, but are ignored.
+
+        Returns
+        -------
+        A connection id, which can be used to disconnect the callback.
         """
-        # TODO: Is the GTKAgg limitation still true?
-        AxesWidget.__init__(self, ax)
+        return self._observers.connect('clicked', func)
+
+    def disconnect(self, cid):
+        """Remove the observer with connection id *cid*."""
+        self._observers.disconnect(cid)
+
+
+class SubplotTool(Widget):
+    """
+    A tool to adjust the subplot params of a `.Figure`.
+    """
+
+    def __init__(self, targetfig, toolfig):
+        """
+        Parameters
+        ----------
+        targetfig : `~matplotlib.figure.Figure`
+            The figure instance to adjust.
+        toolfig : `~matplotlib.figure.Figure`
+            The figure instance to embed the subplot tool into.
+        """
+
+        self.figure = toolfig
+        self.targetfig = targetfig
+        toolfig.subplots_adjust(left=0.2, right=0.9)
+        toolfig.suptitle("Click on slider to adjust subplot param")
+
+        self._sliders = []
+        names = ["left", "bottom", "right", "top", "wspace", "hspace"]
+        # The last subplot, removed below, keeps space for the "Reset" button.
+        for name, ax in zip(names, toolfig.subplots(len(names) + 1)):
+            ax.set_navigate(False)
+            slider = Slider(ax, name, 0, 1,
+                            valinit=getattr(targetfig.subplotpars, name))
+            slider.on_changed(self._on_slider_changed)
+            self._sliders.append(slider)
+        toolfig.axes[-1].remove()
+        (self.sliderleft, self.sliderbottom, self.sliderright, self.slidertop,
+         self.sliderwspace, self.sliderhspace) = self._sliders
+        for slider in [self.sliderleft, self.sliderbottom,
+                       self.sliderwspace, self.sliderhspace]:
+            slider.closedmax = False
+        for slider in [self.sliderright, self.slidertop]:
+            slider.closedmin = False
+
+        # constraints
+        self.sliderleft.slidermax = self.sliderright
+        self.sliderright.slidermin = self.sliderleft
+        self.sliderbottom.slidermax = self.slidertop
+        self.slidertop.slidermin = self.sliderbottom
+
+        bax = toolfig.add_axes([0.8, 0.05, 0.15, 0.075])
+        self.buttonreset = Button(bax, 'Reset')
+        self.buttonreset.on_clicked(self._on_reset)
+
+    def _on_slider_changed(self, _):
+        self.targetfig.subplots_adjust(
+            **{slider.label.get_text(): slider.val
+               for slider in self._sliders})
+        if self.drawon:
+            self.targetfig.canvas.draw()
+
+    def _on_reset(self, event):
+        with ExitStack() as stack:
+            # Temporarily disable drawing on self and self's sliders, and
+            # disconnect slider events (as the subplotparams can be temporarily
+            # invalid, depending on the order in which they are restored).
+            stack.enter_context(cbook._setattr_cm(self, drawon=False))
+            for slider in self._sliders:
+                stack.enter_context(
+                    cbook._setattr_cm(slider, drawon=False, eventson=False))
+            # Reset the slider to the initial position.
+            for slider in self._sliders:
+                slider.reset()
+        if self.drawon:
+            event.canvas.draw()  # Redraw the subplottool canvas.
+        self._on_slider_changed(None)  # Apply changes to the target window.
+
+
+class Cursor(AxesWidget):
+    """
+    A crosshair cursor that spans the Axes and moves with mouse cursor.
+
+    For the cursor to remain responsive you must keep a reference to it.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The `~.axes.Axes` to attach the cursor to.
+    horizOn : bool, default: True
+        Whether to draw the horizontal line.
+    vertOn : bool, default: True
+        Whether to draw the vertical line.
+    useblit : bool, default: False
+        Use blitting for faster drawing if supported by the backend.
+        See the tutorial :ref:`blitting` for details.
+
+    Other Parameters
+    ----------------
+    **lineprops
+        `.Line2D` properties that control the appearance of the lines.
+        See also `~.Axes.axhline`.
+
+    Examples
+    --------
+    See :doc:`/gallery/widgets/cursor`.
+    """
+    def __init__(self, ax, *, horizOn=True, vertOn=True, useblit=False,
+                 **lineprops):
+        super().__init__(ax)
 
         self.connect_event('motion_notify_event', self.onmove)
         self.connect_event('draw_event', self.clear)
@@ -931,41 +1918,34 @@ def __init__(self, ax, horizOn=True, vertOn=True, useblit=False,
         self.needclear = False
 
     def clear(self, event):
-        """clear the cursor"""
-        if self.ignore(event):
+        """Internal event handler to clear the cursor."""
+        if self.ignore(event) or self.canvas.is_saving():
             return
         if self.useblit:
             self.background = self.canvas.copy_from_bbox(self.ax.bbox)
-        self.linev.set_visible(False)
-        self.lineh.set_visible(False)
 
     def onmove(self, event):
-        """on mouse motion draw the cursor if visible"""
+        """Internal event handler to draw the cursor when the mouse moves."""
         if self.ignore(event):
             return
         if not self.canvas.widgetlock.available(self):
             return
-        if event.inaxes != self.ax:
+        if not self.ax.contains(event)[0]:
             self.linev.set_visible(False)
             self.lineh.set_visible(False)
-
             if self.needclear:
                 self.canvas.draw()
                 self.needclear = False
             return
         self.needclear = True
-        if not self.visible:
-            return
-        self.linev.set_xdata((event.xdata, event.xdata))
-
-        self.lineh.set_ydata((event.ydata, event.ydata))
+        xdata, ydata = self._get_data_coords(event)
+        self.linev.set_xdata((xdata, xdata))
         self.linev.set_visible(self.visible and self.vertOn)
+        self.lineh.set_ydata((ydata, ydata))
         self.lineh.set_visible(self.visible and self.horizOn)
-
-        self._update()
-
-    def _update(self):
-
+        if not (self.visible and (self.vertOn or self.horizOn)):
+            return
+        # Redraw.
         if self.useblit:
             if self.background is not None:
                 self.canvas.restore_region(self.background)
@@ -973,163 +1953,221 @@ def _update(self):
             self.ax.draw_artist(self.lineh)
             self.canvas.blit(self.ax.bbox)
         else:
-
             self.canvas.draw_idle()
 
-        return False
-
 
 class MultiCursor(Widget):
     """
     Provide a vertical (default) and/or horizontal line cursor shared between
-    multiple axes.
+    multiple Axes.
 
-    For the cursor to remain responsive you much keep a reference to
-    it.
+    For the cursor to remain responsive you must keep a reference to it.
 
-    Example usage::
+    Parameters
+    ----------
+    canvas : object
+        This parameter is entirely unused and only kept for back-compatibility.
 
-        from matplotlib.widgets import MultiCursor
-        from pylab import figure, show, np
+    axes : list of `~matplotlib.axes.Axes`
+        The `~.axes.Axes` to attach the cursor to.
 
-        t = np.arange(0.0, 2.0, 0.01)
-        s1 = np.sin(2*np.pi*t)
-        s2 = np.sin(4*np.pi*t)
-        fig = figure()
-        ax1 = fig.add_subplot(211)
-        ax1.plot(t, s1)
+    useblit : bool, default: True
+        Use blitting for faster drawing if supported by the backend.
+        See the tutorial :ref:`blitting`
+        for details.
 
+    horizOn : bool, default: False
+        Whether to draw the horizontal line.
 
-        ax2 = fig.add_subplot(212, sharex=ax1)
-        ax2.plot(t, s2)
+    vertOn : bool, default: True
+        Whether to draw the vertical line.
 
-        multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,
-                            horizOn=False, vertOn=True)
-        show()
+    Other Parameters
+    ----------------
+    **lineprops
+        `.Line2D` properties that control the appearance of the lines.
+        See also `~.Axes.axhline`.
 
+    Examples
+    --------
+    See :doc:`/gallery/widgets/multicursor`.
     """
-    def __init__(self, canvas, axes, useblit=True, horizOn=False, vertOn=True,
+
+    def __init__(self, canvas, axes, *, useblit=True, horizOn=False, vertOn=True,
                  **lineprops):
+        # canvas is stored only to provide the deprecated .canvas attribute;
+        # once it goes away the unused argument won't need to be stored at all.
+        self._canvas = canvas
 
-        self.canvas = canvas
         self.axes = axes
         self.horizOn = horizOn
         self.vertOn = vertOn
 
+        self._canvas_infos = {
+            ax.get_figure(root=True).canvas:
+                {"cids": [], "background": None} for ax in axes}
+
         xmin, xmax = axes[-1].get_xlim()
         ymin, ymax = axes[-1].get_ylim()
         xmid = 0.5 * (xmin + xmax)
         ymid = 0.5 * (ymin + ymax)
 
         self.visible = True
-        self.useblit = useblit and self.canvas.supports_blit
-        self.background = None
-        self.needclear = False
+        self.useblit = (
+            useblit
+            and all(canvas.supports_blit for canvas in self._canvas_infos))
 
         if self.useblit:
             lineprops['animated'] = True
 
-        if vertOn:
-            self.vlines = [ax.axvline(xmid, visible=False, **lineprops)
-                           for ax in axes]
-        else:
-            self.vlines = []
-
-        if horizOn:
-            self.hlines = [ax.axhline(ymid, visible=False, **lineprops)
-                           for ax in axes]
-        else:
-            self.hlines = []
+        self.vlines = [ax.axvline(xmid, visible=False, **lineprops)
+                       for ax in axes]
+        self.hlines = [ax.axhline(ymid, visible=False, **lineprops)
+                       for ax in axes]
 
         self.connect()
 
     def connect(self):
-        """connect events"""
-        self._cidmotion = self.canvas.mpl_connect('motion_notify_event',
-                                                  self.onmove)
-        self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear)
+        """Connect events."""
+        for canvas, info in self._canvas_infos.items():
+            info["cids"] = [
+                canvas.mpl_connect('motion_notify_event', self.onmove),
+                canvas.mpl_connect('draw_event', self.clear),
+            ]
 
     def disconnect(self):
-        """disconnect events"""
-        self.canvas.mpl_disconnect(self._cidmotion)
-        self.canvas.mpl_disconnect(self._ciddraw)
+        """Disconnect events."""
+        for canvas, info in self._canvas_infos.items():
+            for cid in info["cids"]:
+                canvas.mpl_disconnect(cid)
+            info["cids"].clear()
 
     def clear(self, event):
-        """clear the cursor"""
+        """Clear the cursor."""
+        if self.ignore(event):
+            return
         if self.useblit:
-            self.background = (
-                self.canvas.copy_from_bbox(self.canvas.figure.bbox))
-        for line in self.vlines + self.hlines:
-            line.set_visible(False)
+            for canvas, info in self._canvas_infos.items():
+                # someone has switched the canvas on us!  This happens if
+                # `savefig` needs to save to a format the previous backend did
+                # not support (e.g. saving a figure using an Agg based backend
+                # saved to a vector format).
+                if canvas is not canvas.figure.canvas:
+                    continue
+                info["background"] = canvas.copy_from_bbox(canvas.figure.bbox)
 
     def onmove(self, event):
-        if event.inaxes is None:
+        axs = [ax for ax in self.axes if ax.contains(event)[0]]
+        if self.ignore(event) or not axs or not event.canvas.widgetlock.available(self):
             return
-        if not self.canvas.widgetlock.available(self):
-            return
-        self.needclear = True
-        if not self.visible:
+        ax = cbook._topmost_artist(axs)
+        xdata, ydata = ((event.xdata, event.ydata) if event.inaxes is ax
+                        else ax.transData.inverted().transform((event.x, event.y)))
+        for line in self.vlines:
+            line.set_xdata((xdata, xdata))
+            line.set_visible(self.visible and self.vertOn)
+        for line in self.hlines:
+            line.set_ydata((ydata, ydata))
+            line.set_visible(self.visible and self.horizOn)
+        if not (self.visible and (self.vertOn or self.horizOn)):
             return
-        if self.vertOn:
-            for line in self.vlines:
-                line.set_xdata((event.xdata, event.xdata))
-                line.set_visible(self.visible)
-        if self.horizOn:
-            for line in self.hlines:
-                line.set_ydata((event.ydata, event.ydata))
-                line.set_visible(self.visible)
-        self._update()
-
-    def _update(self):
+        # Redraw.
         if self.useblit:
-            if self.background is not None:
-                self.canvas.restore_region(self.background)
+            for canvas, info in self._canvas_infos.items():
+                if info["background"]:
+                    canvas.restore_region(info["background"])
             if self.vertOn:
                 for ax, line in zip(self.axes, self.vlines):
                     ax.draw_artist(line)
             if self.horizOn:
                 for ax, line in zip(self.axes, self.hlines):
                     ax.draw_artist(line)
-            self.canvas.blit(self.canvas.figure.bbox)
+            for canvas in self._canvas_infos:
+                canvas.blit()
         else:
-
-            self.canvas.draw_idle()
+            for canvas in self._canvas_infos:
+                canvas.draw_idle()
 
 
 class _SelectorWidget(AxesWidget):
 
-    def __init__(self, ax, onselect, useblit=False, button=None):
-        AxesWidget.__init__(self, ax)
+    def __init__(self, ax, onselect=None, useblit=False, button=None,
+                 state_modifier_keys=None, use_data_coordinates=False):
+        super().__init__(ax)
 
-        self.visible = True
-        self.onselect = onselect
+        self._visible = True
+        if onselect is None:
+            self.onselect = lambda *args: None
+        else:
+            self.onselect = onselect
+        self.useblit = useblit and self.canvas.supports_blit
         self.connect_default_events()
 
+        self._state_modifier_keys = dict(move=' ', clear='escape',
+                                         square='shift', center='control',
+                                         rotate='r')
+        self._state_modifier_keys.update(state_modifier_keys or {})
+        self._use_data_coordinates = use_data_coordinates
+
         self.background = None
-        self.artists = []
-        self.useblit = useblit and self.canvas.supports_blit
 
-        if isinstance(button, int):
+        if isinstance(button, Integral):
             self.validButtons = [button]
         else:
             self.validButtons = button
 
+        # Set to True when a selection is completed, otherwise is False
+        self._selection_completed = False
+
         # will save the data (position at mouseclick)
-        self.eventpress = None
+        self._eventpress = None
         # will save the data (pos. at mouserelease)
-        self.eventrelease = None
+        self._eventrelease = None
+        self._prev_event = None
+        self._state = set()
 
     def set_active(self, active):
-        AxesWidget.set_active(self, active)
+        super().set_active(active)
         if active:
             self.update_background(None)
 
+    def _get_animated_artists(self):
+        """
+        Convenience method to get all animated artists of the figure containing
+        this widget, excluding those already present in self.artists.
+        The returned tuple is not sorted by 'z_order': z_order sorting is
+        valid only when considering all artists and not only a subset of all
+        artists.
+        """
+        return tuple(a for ax_ in self.ax.get_figure().get_axes()
+                     for a in ax_.get_children()
+                     if a.get_animated() and a not in self.artists)
+
     def update_background(self, event):
-        """force an update of the background"""
+        """Force an update of the background."""
         # If you add a call to `ignore` here, you'll want to check edge case:
         # `release` can call a draw event even when `ignore` is True.
-        if self.useblit:
+        if not self.useblit:
+            return
+        # Make sure that widget artists don't get accidentally included in the
+        # background, by re-rendering the background if needed (and then
+        # re-re-rendering the canvas with the visible widget artists).
+        # We need to remove all artists which will be drawn when updating
+        # the selector: if we have animated artists in the figure, it is safer
+        # to redrawn by default, in case they have updated by the callback
+        # zorder needs to be respected when redrawing
+        artists = sorted(self.artists + self._get_animated_artists(),
+                         key=lambda a: a.get_zorder())
+        needs_redraw = any(artist.get_visible() for artist in artists)
+        with ExitStack() as stack:
+            if needs_redraw:
+                for artist in artists:
+                    stack.enter_context(artist._cm_set(visible=False))
+                self.canvas.draw()
             self.background = self.canvas.copy_from_bbox(self.ax.bbox)
+        if needs_redraw:
+            for artist in artists:
+                self.ax.draw_artist(artist)
 
     def connect_default_events(self):
         """Connect the major canvas events to methods."""
@@ -1138,625 +2176,1972 @@ def connect_default_events(self):
         self.connect_event('button_release_event', self.release)
         self.connect_event('draw_event', self.update_background)
         self.connect_event('key_press_event', self.on_key_press)
+        self.connect_event('key_release_event', self.on_key_release)
         self.connect_event('scroll_event', self.on_scroll)
 
     def ignore(self, event):
-        """return *True* if *event* should be ignored"""
-        if not self.active:
+        # docstring inherited
+        if not self.active or not self.ax.get_visible():
             return True
-
         # If canvas was locked
         if not self.canvas.widgetlock.available(self):
             return True
-
         if not hasattr(event, 'button'):
             event.button = None
-
         # Only do rectangle selection if event was triggered
         # with a desired button
-        if self.validButtons is not None:
-            if event.button not in self.validButtons:
-                return True
-
-        # If no button was pressed yet ignore the event if it was out
-        # of the axes
-        if self.eventpress is None:
-            return event.inaxes != self.ax
-
-        # If a button was pressed, check if the release-button is the
-        # same.
-        if event.button == self.eventpress.button:
+        if (self.validButtons is not None
+                and event.button not in self.validButtons):
+            return True
+        # If no button was pressed yet ignore the event if it was out of the Axes.
+        if self._eventpress is None:
+            return not self.ax.contains(event)[0]
+        # If a button was pressed, check if the release-button is the same.
+        if event.button == self._eventpress.button:
             return False
-
-        # If a button was pressed, check if the release-button is the
-        # same.
-        return (event.inaxes != self.ax or
-                event.button != self.eventpress.button)
+        # If a button was pressed, check if the release-button is the same.
+        return (not self.ax.contains(event)[0] or
+                event.button != self._eventpress.button)
 
     def update(self):
-        """draw using newfangled blit or oldfangled draw depending on
-        useblit
-
-        """
+        """Draw using blit() or draw_idle(), depending on ``self.useblit``."""
+        if (not self.ax.get_visible() or
+                self.ax.get_figure(root=True)._get_renderer() is None):
+            return
         if self.useblit:
             if self.background is not None:
                 self.canvas.restore_region(self.background)
-            for artist in self.artists:
+            else:
+                self.update_background(None)
+            # We need to draw all artists, which are not included in the
+            # background, therefore we also draw self._get_animated_artists()
+            # and we make sure that we respect z_order
+            artists = sorted(self.artists + self._get_animated_artists(),
+                             key=lambda a: a.get_zorder())
+            for artist in artists:
                 self.ax.draw_artist(artist)
-
             self.canvas.blit(self.ax.bbox)
-
         else:
             self.canvas.draw_idle()
-        return False
 
     def _get_data(self, event):
-        """Limit the xdata and ydata to the axes limits"""
-        x0, x1 = self.ax.get_xbound()
-        y0, y1 = self.ax.get_ybound()
-        xdata = max(x0, event.xdata)
-        xdata = min(x1, xdata)
-        ydata = max(y0, event.ydata)
-        ydata = min(y1, ydata)
+        """Get the xdata and ydata for event, with limits."""
+        if event.xdata is None:
+            return None, None
+        xdata, ydata = self._get_data_coords(event)
+        xdata = np.clip(xdata, *self.ax.get_xbound())
+        ydata = np.clip(ydata, *self.ax.get_ybound())
         return xdata, ydata
 
+    def _clean_event(self, event):
+        """
+        Preprocess an event:
+
+        - Replace *event* by the previous event if *event* has no ``xdata``.
+        - Get ``xdata`` and ``ydata`` from this widget's Axes, and clip them to the axes
+          limits.
+        - Update the previous event.
+        """
+        if event.xdata is None:
+            event = self._prev_event
+        else:
+            event = copy.copy(event)
+        event.xdata, event.ydata = self._get_data(event)
+        self._prev_event = event
+        return event
+
     def press(self, event):
-        """Button press handler"""
+        """Button press handler and validator."""
         if not self.ignore(event):
-            self.eventpress = copy.copy(event)
-            self.eventpress.xdata, self.eventpress.ydata = (
-                self._get_data(event))
+            event = self._clean_event(event)
+            self._eventpress = event
+            self._prev_event = event
+            key = event.key or ''
+            key = key.replace('ctrl', 'control')
+            # move state is locked in on a button press
+            if key == self._state_modifier_keys['move']:
+                self._state.add('move')
+            self._press(event)
             return True
         return False
 
-    def release(self, event):
-        """Button release event"""
-        if not self.ignore(event) and self.eventpress is not None:
-            self.eventrelease = copy.copy(event)
-            self.eventrelease.xdata, self.eventrelease.ydata = (
-                self._get_data(event))
-            return True
-        else:
-            return False
+    def _press(self, event):
+        """Button press event handler."""
+
+    def release(self, event):
+        """Button release event handler and validator."""
+        if not self.ignore(event) and self._eventpress:
+            event = self._clean_event(event)
+            self._eventrelease = event
+            self._release(event)
+            self._eventpress = None
+            self._eventrelease = None
+            self._state.discard('move')
+            return True
+        return False
+
+    def _release(self, event):
+        """Button release event handler."""
+
+    def onmove(self, event):
+        """Cursor move event handler and validator."""
+        if not self.ignore(event) and self._eventpress:
+            event = self._clean_event(event)
+            self._onmove(event)
+            return True
+        return False
+
+    def _onmove(self, event):
+        """Cursor move event handler."""
+
+    def on_scroll(self, event):
+        """Mouse scroll event handler and validator."""
+        if not self.ignore(event):
+            self._on_scroll(event)
+
+    def _on_scroll(self, event):
+        """Mouse scroll event handler."""
+
+    def on_key_press(self, event):
+        """Key press event handler and validator for all selection widgets."""
+        if self.active:
+            key = event.key or ''
+            key = key.replace('ctrl', 'control')
+            if key == self._state_modifier_keys['clear']:
+                self.clear()
+                return
+            for (state, modifier) in self._state_modifier_keys.items():
+                if modifier in key.split('+'):
+                    # 'rotate' is changing _state on press and is not removed
+                    # from _state when releasing
+                    if state == 'rotate':
+                        if state in self._state:
+                            self._state.discard(state)
+                        else:
+                            self._state.add(state)
+                    else:
+                        self._state.add(state)
+            self._on_key_press(event)
+
+    def _on_key_press(self, event):
+        """Key press event handler - for widget-specific key press actions."""
+
+    def on_key_release(self, event):
+        """Key release event handler and validator."""
+        if self.active:
+            key = event.key or ''
+            for (state, modifier) in self._state_modifier_keys.items():
+                # 'rotate' is changing _state on press and is not removed
+                # from _state when releasing
+                if modifier in key.split('+') and state != 'rotate':
+                    self._state.discard(state)
+            self._on_key_release(event)
+
+    def _on_key_release(self, event):
+        """Key release event handler."""
+
+    def set_visible(self, visible):
+        """Set the visibility of the selector artists."""
+        self._visible = visible
+        for artist in self.artists:
+            artist.set_visible(visible)
+
+    def get_visible(self):
+        """Get the visibility of the selector artists."""
+        return self._visible
+
+    def clear(self):
+        """Clear the selection and set the selector ready to make a new one."""
+        self._clear_without_update()
+        self.update()
+
+    def _clear_without_update(self):
+        self._selection_completed = False
+        self.set_visible(False)
+
+    @property
+    def artists(self):
+        """Tuple of the artists of the selector."""
+        handles_artists = getattr(self, '_handles_artists', ())
+        return (self._selection_artist,) + handles_artists
+
+    def set_props(self, **props):
+        """
+        Set the properties of the selector artist.
+
+        See the *props* argument in the selector docstring to know which properties are
+        supported.
+        """
+        artist = self._selection_artist
+        props = cbook.normalize_kwargs(props, artist)
+        artist.set(**props)
+        if self.useblit:
+            self.update()
+
+    def set_handle_props(self, **handle_props):
+        """
+        Set the properties of the handles selector artist. See the
+        `handle_props` argument in the selector docstring to know which
+        properties are supported.
+        """
+        if not hasattr(self, '_handles_artists'):
+            raise NotImplementedError("This selector doesn't have handles.")
+
+        artist = self._handles_artists[0]
+        handle_props = cbook.normalize_kwargs(handle_props, artist)
+        for handle in self._handles_artists:
+            handle.set(**handle_props)
+        if self.useblit:
+            self.update()
+        self._handle_props.update(handle_props)
+
+    def _validate_state(self, state):
+        supported_state = [
+            key for key, value in self._state_modifier_keys.items()
+            if key != 'clear' and value != 'not-applicable'
+            ]
+        _api.check_in_list(supported_state, state=state)
+
+    def add_state(self, state):
+        """
+        Add a state to define the widget's behavior. See the
+        `state_modifier_keys` parameters for details.
+
+        Parameters
+        ----------
+        state : str
+            Must be a supported state of the selector. See the
+            `state_modifier_keys` parameters for details.
+
+        Raises
+        ------
+        ValueError
+            When the state is not supported by the selector.
+
+        """
+        self._validate_state(state)
+        self._state.add(state)
+
+    def remove_state(self, state):
+        """
+        Remove a state to define the widget's behavior. See the
+        `state_modifier_keys` parameters for details.
+
+        Parameters
+        ----------
+        state : str
+            Must be a supported state of the selector. See the
+            `state_modifier_keys` parameters for details.
+
+        Raises
+        ------
+        ValueError
+            When the state is not supported by the selector.
+
+        """
+        self._validate_state(state)
+        self._state.remove(state)
+
+
+class SpanSelector(_SelectorWidget):
+    """
+    Visually select a min/max range on a single axis and call a function with
+    those values.
+
+    To guarantee that the selector remains responsive, keep a reference to it.
 
-    def onmove(self, event):
-        """Cursor move event"""
-        pass
+    In order to turn off the SpanSelector, set ``span_selector.active`` to
+    False.  To turn it back on, set it to True.
 
-    def on_scroll(self, event):
-        """Mouse scroll event"""
-        pass
+    Press and release events triggered at the same coordinates outside the
+    selection will clear the selector, except when
+    ``ignore_event_outside=True``.
 
-    def on_key_press(self, event):
-        """Key press event"""
-        pass
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
 
-    def set_visible(self, visible):
-        """ Set the visibility of our artists """
-        self.visible = visible
-        for artist in self.artists:
-            artist.set_visible(visible)
+    onselect : callable with signature ``func(min: float, max: float)``
+        A callback function that is called after a release event and the
+        selection is created, changed or removed.
 
+    direction : {"horizontal", "vertical"}
+        The direction along which to draw the span selector.
 
-class SpanSelector(_SelectorWidget):
-    """
-    Select a min/max range of the x or y axes for a matplotlib Axes.
+    minspan : float, default: 0
+        If selection is less than or equal to *minspan*, the selection is
+        removed (when already existing) or cancelled.
 
-    For the selector to remain responsive you much keep a reference to
-    it.
+    useblit : bool, default: False
+        If True, use the backend-dependent blitting features for faster
+        canvas updates. See the tutorial :ref:`blitting` for details.
 
-    Example usage::
+    props : dict, default: {'facecolor': 'red', 'alpha': 0.5}
+        Dictionary of `.Patch` properties.
 
-        ax = subplot(111)
-        ax.plot(x,y)
+    onmove_callback : callable with signature ``func(min: float, max: float)``, optional
+        Called on mouse move while the span is being selected.
 
-        def onselect(vmin, vmax):
-            print vmin, vmax
-        span = SpanSelector(ax, onselect, 'horizontal')
+    interactive : bool, default: False
+        Whether to draw a set of handles that allow interaction with the
+        widget after it is drawn.
 
-    *onmove_callback* is an optional callback that is called on mouse
-    move within the span range
+    button : `.MouseButton` or list of `.MouseButton`, default: all buttons
+        The mouse buttons which activate the span selector.
 
-    """
+    handle_props : dict, default: None
+        Properties of the handle lines at the edges of the span. Only used
+        when *interactive* is True. See `.Line2D` for valid properties.
 
-    def __init__(self, ax, onselect, direction, minspan=None, useblit=False,
-                 rectprops=None, onmove_callback=None, span_stays=False,
-                 button=None):
-        """
-        Create a span selector in *ax*.  When a selection is made, clear
-        the span and call *onselect* with::
+    grab_range : float, default: 10
+        Distance in pixels within which the interactive tool handles can be activated.
 
-            onselect(vmin, vmax)
+    state_modifier_keys : dict, optional
+        Keyboard modifiers which affect the widget's behavior.  Values
+        amend the defaults, which are:
 
-        and clear the span.
+        - "clear": Clear the current shape, default: "escape".
 
-        *direction* must be 'horizontal' or 'vertical'
+    drag_from_anywhere : bool, default: False
+        If `True`, the widget can be moved by clicking anywhere within its bounds.
 
-        If *minspan* is not *None*, ignore events smaller than *minspan*
+    ignore_event_outside : bool, default: False
+        If `True`, the event triggered outside the span selector will be ignored.
 
-        The span rectangle is drawn with *rectprops*; default::
-        
-          rectprops = dict(facecolor='red', alpha=0.5)
+    snap_values : 1D array-like, optional
+        Snap the selector edges to the given values.
 
-        Set the visible attribute to *False* if you want to turn off
-        the functionality of the span selector
+    Examples
+    --------
+    >>> import matplotlib.pyplot as plt
+    >>> import matplotlib.widgets as mwidgets
+    >>> fig, ax = plt.subplots()
+    >>> ax.plot([1, 2, 3], [10, 50, 100])
+    >>> def onselect(vmin, vmax):
+    ...     print(vmin, vmax)
+    >>> span = mwidgets.SpanSelector(ax, onselect, 'horizontal',
+    ...                              props=dict(facecolor='blue', alpha=0.5))
+    >>> fig.show()
 
-        If *span_stays* is True, the span stays visble after making
-        a valid selection.
+    See also: :doc:`/gallery/widgets/span_selector`
+    """
 
-        *button* is a list of integers indicating which mouse buttons should
-        be used for selection.  You can also specify a single
-        integer if only a single button is desired.  Default is *None*,
-        which does not limit which button can be used.
+    def __init__(self, ax, onselect, direction, *, minspan=0, useblit=False,
+                 props=None, onmove_callback=None, interactive=False,
+                 button=None, handle_props=None, grab_range=10,
+                 state_modifier_keys=None, drag_from_anywhere=False,
+                 ignore_event_outside=False, snap_values=None):
 
-        Note, typically:
-         1 = left mouse button
-         2 = center mouse button (scroll wheel)
-         3 = right mouse button
+        if state_modifier_keys is None:
+            state_modifier_keys = dict(clear='escape',
+                                       square='not-applicable',
+                                       center='not-applicable',
+                                       rotate='not-applicable')
+        super().__init__(ax, onselect, useblit=useblit, button=button,
+                         state_modifier_keys=state_modifier_keys)
 
-        """
-        _SelectorWidget.__init__(self, ax, onselect, useblit=useblit,
-            button=button)
+        if props is None:
+            props = dict(facecolor='red', alpha=0.5)
 
-        if rectprops is None:
-            rectprops = dict(facecolor='red', alpha=0.5)
+        props['animated'] = self.useblit
 
-        assert direction in ['horizontal', 'vertical'], 'Must choose horizontal or vertical for direction'
         self.direction = direction
+        self._extents_on_press = None
+        self.snap_values = snap_values
 
-        self.rect = None
-        self.pressv = None
-
-        self.rectprops = rectprops
         self.onmove_callback = onmove_callback
         self.minspan = minspan
-        self.span_stays = span_stays
 
-        # Needed when dragging out of axes
-        self.prev = (0, 0)
+        self.grab_range = grab_range
+        self._interactive = interactive
+        self._edge_handles = None
+        self.drag_from_anywhere = drag_from_anywhere
+        self.ignore_event_outside = ignore_event_outside
 
-        # Reset canvas so that `new_axes` connects events.
-        self.canvas = None
-        self.new_axes(ax)
+        self.new_axes(ax, _props=props, _init=True)
 
-    def new_axes(self, ax):
-        self.ax = ax
-        if self.canvas is not ax.figure.canvas:
+        # Setup handles
+        self._handle_props = {
+            'color': props.get('facecolor', 'r'),
+            **cbook.normalize_kwargs(handle_props, Line2D)}
+
+        if self._interactive:
+            self._edge_order = ['min', 'max']
+            self._setup_edge_handles(self._handle_props)
+
+        self._active_handle = None
+
+    def new_axes(self, ax, *, _props=None, _init=False):
+        """Set SpanSelector to operate on a new Axes."""
+        reconnect = False
+        if _init or self.canvas is not ax.get_figure(root=True).canvas:
             if self.canvas is not None:
                 self.disconnect_events()
-
-            self.canvas = ax.figure.canvas
+            reconnect = True
+        self.ax = ax
+        if reconnect:
             self.connect_default_events()
 
+        # Reset
+        self._selection_completed = False
+
         if self.direction == 'horizontal':
-            trans = blended_transform_factory(self.ax.transData,
-                                              self.ax.transAxes)
+            trans = ax.get_xaxis_transform()
             w, h = 0, 1
         else:
-            trans = blended_transform_factory(self.ax.transAxes,
-                                              self.ax.transData)
+            trans = ax.get_yaxis_transform()
             w, h = 1, 0
-        self.rect = Rectangle((0, 0), w, h,
-                              transform=trans,
-                              visible=False,
-                              **self.rectprops)
-        if self.span_stays:
-            self.stay_rect = Rectangle((0, 0), w, h,
-                                       transform=trans,
-                                       visible=False,
-                                       **self.rectprops)
-            self.ax.add_patch(self.stay_rect)
+        rect_artist = Rectangle((0, 0), w, h, transform=trans, visible=False)
+        if _props is not None:
+            rect_artist.update(_props)
+        elif self._selection_artist is not None:
+            rect_artist.update_from(self._selection_artist)
 
-        if not self.useblit:
-            self.ax.add_patch(self.rect)
-            self.artists = [self.rect]
+        self.ax.add_patch(rect_artist)
+        self._selection_artist = rect_artist
 
-    def ignore(self, event):
-        """return *True* if *event* should be ignored"""
-        return _SelectorWidget.ignore(self, event) or not self.visible
+    def _setup_edge_handles(self, props):
+        # Define initial position using the axis bounds to keep the same bounds
+        if self.direction == 'horizontal':
+            positions = self.ax.get_xbound()
+        else:
+            positions = self.ax.get_ybound()
+        self._edge_handles = ToolLineHandles(self.ax, positions,
+                                             direction=self.direction,
+                                             line_props=props,
+                                             useblit=self.useblit)
+
+    @property
+    def _handles_artists(self):
+        if self._edge_handles is not None:
+            return self._edge_handles.artists
+        else:
+            return ()
+
+    def _set_cursor(self, enabled):
+        """Update the canvas cursor based on direction of the selector."""
+        if enabled:
+            cursor = (backend_tools.Cursors.RESIZE_HORIZONTAL
+                      if self.direction == 'horizontal' else
+                      backend_tools.Cursors.RESIZE_VERTICAL)
+        else:
+            cursor = backend_tools.Cursors.POINTER
 
-    def press(self, event):
-        """on button press event"""
-        if not _SelectorWidget.press(self, event):
-            return False
-        self.rect.set_visible(self.visible)
-        if self.span_stays:
-            self.stay_rect.set_visible(False)
+        self.ax.get_figure(root=True).canvas.set_cursor(cursor)
 
-        xdata, ydata = self._get_data(event)
-        if self.direction == 'horizontal':
-            self.pressv = xdata
+    def connect_default_events(self):
+        # docstring inherited
+        super().connect_default_events()
+        if getattr(self, '_interactive', False):
+            self.connect_event('motion_notify_event', self._hover)
+
+    def _press(self, event):
+        """Button press event handler."""
+        self._set_cursor(True)
+        if self._interactive and self._selection_artist.get_visible():
+            self._set_active_handle(event)
         else:
-            self.pressv = ydata
-        return False
+            self._active_handle = None
 
-    def release(self, event):
-        """on button release event"""
-        if not _SelectorWidget.release(self, event) or self.pressv is None:
-            return
-        self.buttonDown = False
+        if self._active_handle is None or not self._interactive:
+            # Clear previous rectangle before drawing new rectangle.
+            self.update()
 
-        self.rect.set_visible(False)
+        xdata, ydata = self._get_data_coords(event)
+        v = xdata if self.direction == 'horizontal' else ydata
+
+        if self._active_handle is None and not self.ignore_event_outside:
+            # when the press event outside the span, we initially set the
+            # visibility to False and extents to (v, v)
+            # update will be called when setting the extents
+            self._visible = False
+            self._set_extents((v, v))
+            # We need to set the visibility back, so the span selector will be
+            # drawn when necessary (span width > 0)
+            self._visible = True
+        else:
+            self.set_visible(True)
 
-        if self.span_stays:
-            self.stay_rect.set_x(self.rect.get_x())
-            self.stay_rect.set_y(self.rect.get_y())
-            self.stay_rect.set_width(self.rect.get_width())
-            self.stay_rect.set_height(self.rect.get_height())
-            self.stay_rect.set_visible(True)
+        return False
 
-        self.canvas.draw()
-        vmin = self.pressv
-        xdata, ydata = self._get_data(event)
-        if self.direction == 'horizontal':
-            vmax = xdata or self.prev[0]
+    @property
+    def direction(self):
+        """Direction of the span selector: 'vertical' or 'horizontal'."""
+        return self._direction
+
+    @direction.setter
+    def direction(self, direction):
+        """Set the direction of the span selector."""
+        _api.check_in_list(['horizontal', 'vertical'], direction=direction)
+        if hasattr(self, '_direction') and direction != self._direction:
+            # remove previous artists
+            self._selection_artist.remove()
+            if self._interactive:
+                self._edge_handles.remove()
+            self._direction = direction
+            self.new_axes(self.ax)
+            if self._interactive:
+                self._setup_edge_handles(self._handle_props)
         else:
-            vmax = ydata or self.prev[1]
+            self._direction = direction
 
-        if vmin > vmax:
-            vmin, vmax = vmax, vmin
-        span = vmax - vmin
-        if self.minspan is not None and span < self.minspan:
+    def _release(self, event):
+        """Button release event handler."""
+        self._set_cursor(False)
+
+        if not self._interactive:
+            self._selection_artist.set_visible(False)
+
+        if (self._active_handle is None and self._selection_completed and
+                self.ignore_event_outside):
             return
-        self.onselect(vmin, vmax)
-        self.pressv = None
+
+        vmin, vmax = self.extents
+        span = vmax - vmin
+
+        if span <= self.minspan:
+            # Remove span and set self._selection_completed = False
+            self.set_visible(False)
+            if self._selection_completed:
+                # Call onselect, only when the span is already existing
+                self.onselect(vmin, vmax)
+            self._selection_completed = False
+        else:
+            self.onselect(vmin, vmax)
+            self._selection_completed = True
+
+        self.update()
+
+        self._active_handle = None
+
         return False
 
-    def onmove(self, event):
-        """on motion notify event"""
-        if self.pressv is None or self.ignore(event):
+    def _hover(self, event):
+        """Update the canvas cursor if it's over a handle."""
+        if self.ignore(event):
             return
-        x, y = self._get_data(event)
-        self.prev = x, y
-        if self.direction == 'horizontal':
-            v = x
-        else:
-            v = y
 
-        minv, maxv = v, self.pressv
-        if minv > maxv:
-            minv, maxv = maxv, minv
+        if self._active_handle is not None or not self._selection_completed:
+            # Do nothing if button is pressed and a handle is active, which may
+            # occur with drag_from_anywhere=True.
+            # Do nothing if selection is not completed, which occurs when
+            # a selector has been cleared
+            return
+
+        _, e_dist = self._edge_handles.closest(event.x, event.y)
+        self._set_cursor(e_dist <= self.grab_range)
+
+    def _onmove(self, event):
+        """Motion notify event handler."""
+
+        xdata, ydata = self._get_data_coords(event)
         if self.direction == 'horizontal':
-            self.rect.set_x(minv)
-            self.rect.set_width(maxv - minv)
+            v = xdata
+            vpress = self._eventpress.xdata
         else:
-            self.rect.set_y(minv)
-            self.rect.set_height(maxv - minv)
-
-        if self.onmove_callback is not None:
-            vmin = self.pressv
-            xdata, ydata = self._get_data(event)
-            if self.direction == 'horizontal':
-                vmax = xdata or self.prev[0]
+            v = ydata
+            vpress = self._eventpress.ydata
+
+        # move existing span
+        # When "dragging from anywhere", `self._active_handle` is set to 'C'
+        # (match notation used in the RectangleSelector)
+        if self._active_handle == 'C' and self._extents_on_press is not None:
+            vmin, vmax = self._extents_on_press
+            dv = v - vpress
+            vmin += dv
+            vmax += dv
+
+        # resize an existing shape
+        elif self._active_handle and self._active_handle != 'C':
+            vmin, vmax = self._extents_on_press
+            if self._active_handle == 'min':
+                vmin = v
             else:
-                vmax = ydata or self.prev[1]
-
+                vmax = v
+        # new shape
+        else:
+            # Don't create a new span if there is already one when
+            # ignore_event_outside=True
+            if self.ignore_event_outside and self._selection_completed:
+                return
+            vmin, vmax = vpress, v
             if vmin > vmax:
                 vmin, vmax = vmax, vmin
+
+        self._set_extents((vmin, vmax))
+
+        if self.onmove_callback is not None:
             self.onmove_callback(vmin, vmax)
 
-        self.update()
         return False
 
+    def _draw_shape(self, vmin, vmax):
+        if vmin > vmax:
+            vmin, vmax = vmax, vmin
+        if self.direction == 'horizontal':
+            self._selection_artist.set_x(vmin)
+            self._selection_artist.set_width(vmax - vmin)
+        else:
+            self._selection_artist.set_y(vmin)
+            self._selection_artist.set_height(vmax - vmin)
+
+    def _set_active_handle(self, event):
+        """Set active handle based on the location of the mouse event."""
+        # Note: event.xdata/ydata in data coordinates, event.x/y in pixels
+        e_idx, e_dist = self._edge_handles.closest(event.x, event.y)
+
+        # Prioritise center handle over other handles
+        # Use 'C' to match the notation used in the RectangleSelector
+        if 'move' in self._state:
+            self._active_handle = 'C'
+        elif e_dist > self.grab_range:
+            # Not close to any handles
+            self._active_handle = None
+            if self.drag_from_anywhere and self._contains(event):
+                # Check if we've clicked inside the region
+                self._active_handle = 'C'
+                self._extents_on_press = self.extents
+            else:
+                self._active_handle = None
+                return
+        else:
+            # Closest to an edge handle
+            self._active_handle = self._edge_order[e_idx]
+
+        # Save coordinates of rectangle at the start of handle movement.
+        self._extents_on_press = self.extents
+
+    def _contains(self, event):
+        """Return True if event is within the patch."""
+        return self._selection_artist.contains(event, radius=0)[0]
+
+    @staticmethod
+    def _snap(values, snap_values):
+        """Snap values to a given array values (snap_values)."""
+        # take into account machine precision
+        eps = np.min(np.abs(np.diff(snap_values))) * 1e-12
+        return tuple(
+            snap_values[np.abs(snap_values - v + np.sign(v) * eps).argmin()]
+            for v in values)
+
+    @property
+    def extents(self):
+        """
+        (float, float)
+            The values, in data coordinates, for the start and end points of the current
+            selection. If there is no selection then the start and end values will be
+            the same.
+        """
+        if self.direction == 'horizontal':
+            vmin = self._selection_artist.get_x()
+            vmax = vmin + self._selection_artist.get_width()
+        else:
+            vmin = self._selection_artist.get_y()
+            vmax = vmin + self._selection_artist.get_height()
+        return vmin, vmax
+
+    @extents.setter
+    def extents(self, extents):
+        self._set_extents(extents)
+        self._selection_completed = True
+
+    def _set_extents(self, extents):
+        # Update displayed shape
+        if self.snap_values is not None:
+            extents = tuple(self._snap(extents, self.snap_values))
+        self._draw_shape(*extents)
+        if self._interactive:
+            # Update displayed handles
+            self._edge_handles.set_data(self.extents)
+        self.set_visible(self._visible)
+        self.update()
+
 
-class RectangleSelector(_SelectorWidget):
+class ToolLineHandles:
+    """
+    Control handles for canvas tools.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Matplotlib Axes where tool handles are displayed.
+    positions : 1D array
+        Positions of handles in data coordinates.
+    direction : {"horizontal", "vertical"}
+        Direction of handles, either 'vertical' or 'horizontal'
+    line_props : dict, optional
+        Additional line properties. See `.Line2D`.
+    useblit : bool, default: True
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
     """
-    Select a rectangular region of an axes.
-
-    For the cursor to remain responsive you much keep a reference to
-    it.
 
-    Example usage::
+    def __init__(self, ax, positions, direction, *, line_props=None,
+                 useblit=True):
+        self.ax = ax
 
-        from matplotlib.widgets import  RectangleSelector
-        from pylab import *
-
-        def onselect(eclick, erelease):
-          'eclick and erelease are matplotlib events at press and release'
-          print ' startposition : (%f, %f)' % (eclick.xdata, eclick.ydata)
-          print ' endposition   : (%f, %f)' % (erelease.xdata, erelease.ydata)
-          print ' used button   : ', eclick.button
-
-        def toggle_selector(event):
-            print ' Key pressed.'
-            if event.key in ['Q', 'q'] and toggle_selector.RS.active:
-                print ' RectangleSelector deactivated.'
-                toggle_selector.RS.set_active(False)
-            if event.key in ['A', 'a'] and not toggle_selector.RS.active:
-                print ' RectangleSelector activated.'
-                toggle_selector.RS.set_active(True)
-
-        x = arange(100)/(99.0)
-        y = sin(x)
-        fig = figure
-        ax = subplot(111)
-        ax.plot(x,y)
-
-        toggle_selector.RS = RectangleSelector(ax, onselect, drawtype='line')
-        connect('key_press_event', toggle_selector)
-        show()
-    """
-    def __init__(self, ax, onselect, drawtype='box',
-                 minspanx=None, minspany=None, useblit=False,
-                 lineprops=None, rectprops=None, spancoords='data',
-                 button=None):
+        _api.check_in_list(['horizontal', 'vertical'], direction=direction)
+        self._direction = direction
 
-        """
-        Create a selector in *ax*.  When a selection is made, clear
-        the span and call onselect with::
+        line_props = {
+            **(line_props if line_props is not None else {}),
+            'visible': False,
+            'animated': useblit,
+        }
 
-          onselect(pos_1, pos_2)
+        line_fun = ax.axvline if self.direction == 'horizontal' else ax.axhline
 
-        and clear the drawn box/line. The ``pos_1`` and ``pos_2`` are
-        arrays of length 2 containing the x- and y-coordinate.
+        self._artists = [line_fun(p, **line_props) for p in positions]
 
-        If *minspanx* is not *None* then events smaller than *minspanx*
-        in x direction are ignored (it's the same for y).
+    @property
+    def artists(self):
+        return tuple(self._artists)
 
-        The rectangle is drawn with *rectprops*; default::
+    @property
+    def positions(self):
+        """Positions of the handle in data coordinates."""
+        method = 'get_xdata' if self.direction == 'horizontal' else 'get_ydata'
+        return [getattr(line, method)()[0] for line in self.artists]
 
-          rectprops = dict(facecolor='red', edgecolor = 'black',
-                           alpha=0.5, fill=False)
+    @property
+    def direction(self):
+        """Direction of the handle: 'vertical' or 'horizontal'."""
+        return self._direction
 
-        The line is drawn with *lineprops*; default::
+    def set_data(self, positions):
+        """
+        Set x- or y-positions of handles, depending on if the lines are
+        vertical or horizontal.
 
-          lineprops = dict(color='black', linestyle='-',
-                           linewidth = 2, alpha=0.5)
+        Parameters
+        ----------
+        positions : tuple of length 2
+            Set the positions of the handle in data coordinates
+        """
+        method = 'set_xdata' if self.direction == 'horizontal' else 'set_ydata'
+        for line, p in zip(self.artists, positions):
+            getattr(line, method)([p, p])
 
-        Use *drawtype* if you want the mouse to draw a line,
-        a box or nothing between click and actual position by setting
+    def set_visible(self, value):
+        """Set the visibility state of the handles artist."""
+        for artist in self.artists:
+            artist.set_visible(value)
 
-        ``drawtype = 'line'``, ``drawtype='box'`` or ``drawtype = 'none'``.
+    def set_animated(self, value):
+        """Set the animated state of the handles artist."""
+        for artist in self.artists:
+            artist.set_animated(value)
 
-        *spancoords* is one of 'data' or 'pixels'.  If 'data', *minspanx*
-        and *minspanx* will be interpreted in the same coordinates as
-        the x and y axis. If 'pixels', they are in pixels.
+    def remove(self):
+        """Remove the handles artist from the figure."""
+        for artist in self._artists:
+            artist.remove()
 
-        *button* is a list of integers indicating which mouse buttons should
-        be used for rectangle selection.  You can also specify a single
-        integer if only a single button is desired.  Default is *None*,
-        which does not limit which button can be used.
+    def closest(self, x, y):
+        """
+        Return index and pixel distance to closest handle.
 
-        Note, typically:
-         1 = left mouse button
-         2 = center mouse button (scroll wheel)
-         3 = right mouse button
+        Parameters
+        ----------
+        x, y : float
+            x, y position from which the distance will be calculated to
+            determinate the closest handle
+
+        Returns
+        -------
+        index, distance : index of the handle and its distance from
+            position x, y
         """
-        _SelectorWidget.__init__(self, ax, onselect, useblit=useblit,
-                                                          button=button)
+        if self.direction == 'horizontal':
+            p_pts = np.array([
+                self.ax.transData.transform((p, 0))[0] for p in self.positions
+                ])
+            dist = abs(p_pts - x)
+        else:
+            p_pts = np.array([
+                self.ax.transData.transform((0, p))[1] for p in self.positions
+                ])
+            dist = abs(p_pts - y)
+        index = np.argmin(dist)
+        return index, dist[index]
+
+
+class ToolHandles:
+    """
+    Control handles for canvas tools.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Matplotlib Axes where tool handles are displayed.
+    x, y : 1D arrays
+        Coordinates of control handles.
+    marker : str, default: 'o'
+        Shape of marker used to display handle. See `~.pyplot.plot`.
+    marker_props : dict, optional
+        Additional marker properties. See `.Line2D`.
+    useblit : bool, default: True
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
+    """
+
+    def __init__(self, ax, x, y, *, marker='o', marker_props=None, useblit=True):
+        self.ax = ax
+        props = {'marker': marker, 'markersize': 7, 'markerfacecolor': 'w',
+                 'linestyle': 'none', 'alpha': 0.5, 'visible': False,
+                 'label': '_nolegend_',
+                 **cbook.normalize_kwargs(marker_props, Line2D._alias_map)}
+        self._markers = Line2D(x, y, animated=useblit, **props)
+        self.ax.add_line(self._markers)
+
+    @property
+    def x(self):
+        return self._markers.get_xdata()
+
+    @property
+    def y(self):
+        return self._markers.get_ydata()
+
+    @property
+    def artists(self):
+        return (self._markers, )
+
+    def set_data(self, pts, y=None):
+        """Set x and y positions of handles."""
+        if y is not None:
+            x = pts
+            pts = np.array([x, y])
+        self._markers.set_data(pts)
+
+    def set_visible(self, val):
+        self._markers.set_visible(val)
+
+    def set_animated(self, val):
+        self._markers.set_animated(val)
+
+    def closest(self, x, y):
+        """Return index and pixel distance to closest index."""
+        pts = np.column_stack([self.x, self.y])
+        # Transform data coordinates to pixel coordinates.
+        pts = self.ax.transData.transform(pts)
+        diff = pts - [x, y]
+        dist = np.hypot(*diff.T)
+        min_index = np.argmin(dist)
+        return min_index, dist[min_index]
+
+
+_RECTANGLESELECTOR_PARAMETERS_DOCSTRING = \
+    r"""
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+
+    onselect : function, optional
+        A callback function that is called after a release event and the
+        selection is created, changed or removed.
+        It must have the signature::
+
+            def onselect(eclick: MouseEvent, erelease: MouseEvent)
+
+        where *eclick* and *erelease* are the mouse click and release
+        `.MouseEvent`\s that start and complete the selection.
+
+    minspanx : float, default: 0
+        Selections with an x-span less than or equal to *minspanx* are removed
+        (when already existing) or cancelled.
+
+    minspany : float, default: 0
+        Selections with an y-span less than or equal to *minspanx* are removed
+        (when already existing) or cancelled.
+
+    useblit : bool, default: False
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
+
+    props : dict, optional
+        Properties with which the __ARTIST_NAME__ is drawn. See
+        `.Patch` for valid properties.
+        Default:
+
+        ``dict(facecolor='red', edgecolor='black', alpha=0.2, fill=True)``
+
+    spancoords : {"data", "pixels"}, default: "data"
+        Whether to interpret *minspanx* and *minspany* in data or in pixel
+        coordinates.
+
+    button : `.MouseButton`, list of `.MouseButton`, default: all buttons
+        Button(s) that trigger rectangle selection.
+
+    grab_range : float, default: 10
+        Distance in pixels within which the interactive tool handles can be
+        activated.
+
+    handle_props : dict, optional
+        Properties with which the interactive handles (marker artists) are
+        drawn. See the marker arguments in `.Line2D` for valid
+        properties.  Default values are defined in ``mpl.rcParams`` except for
+        the default value of ``markeredgecolor`` which will be the same as the
+        ``edgecolor`` property in *props*.
+
+    interactive : bool, default: False
+        Whether to draw a set of handles that allow interaction with the
+        widget after it is drawn.
+
+    state_modifier_keys : dict, optional
+        Keyboard modifiers which affect the widget's behavior.  Values
+        amend the defaults, which are:
+
+        - "move": Move the existing shape, default: no modifier.
+        - "clear": Clear the current shape, default: "escape".
+        - "square": Make the shape square, default: "shift".
+        - "center": change the shape around its center, default: "ctrl".
+        - "rotate": Rotate the shape around its center between -45° and 45°,
+          default: "r".
+
+        "square" and "center" can be combined. The square shape can be defined
+        in data or display coordinates as determined by the
+        ``use_data_coordinates`` argument specified when creating the selector.
+
+    drag_from_anywhere : bool, default: False
+        If `True`, the widget can be moved by clicking anywhere within
+        its bounds.
+
+    ignore_event_outside : bool, default: False
+        If `True`, the event triggered outside the span selector will be
+        ignored.
+
+    use_data_coordinates : bool, default: False
+        If `True`, the "square" shape of the selector is defined in
+        data coordinates instead of display coordinates.
+    """
 
-        self.to_draw = None
 
-        if drawtype == 'none':
-            drawtype = 'line'                        # draw a line but make it
-            self.visible = False                     # invisible
+@_docstring.Substitution(_RECTANGLESELECTOR_PARAMETERS_DOCSTRING.replace(
+    '__ARTIST_NAME__', 'rectangle'))
+class RectangleSelector(_SelectorWidget):
+    """
+    Select a rectangular region of an Axes.
+
+    For the cursor to remain responsive you must keep a reference to it.
+
+    Press and release events triggered at the same coordinates outside the
+    selection will clear the selector, except when
+    ``ignore_event_outside=True``.
+
+    %s
+
+    Examples
+    --------
+    >>> import matplotlib.pyplot as plt
+    >>> import matplotlib.widgets as mwidgets
+    >>> fig, ax = plt.subplots()
+    >>> ax.plot([1, 2, 3], [10, 50, 100])
+    >>> def onselect(eclick, erelease):
+    ...     print(eclick.xdata, eclick.ydata)
+    ...     print(erelease.xdata, erelease.ydata)
+    >>> props = dict(facecolor='blue', alpha=0.5)
+    >>> rect = mwidgets.RectangleSelector(ax, onselect, interactive=True,
+    ...                                   props=props)
+    >>> fig.show()
+    >>> rect.add_state('square')
+
+    See also: :doc:`/gallery/widgets/rectangle_selector`
+    """
 
-        if drawtype == 'box':
-            if rectprops is None:
-                rectprops = dict(facecolor='white', edgecolor='black',
-                                 alpha=0.5, fill=False)
-            self.rectprops = rectprops
-            self.to_draw = Rectangle((0, 0),
-                                     0, 1, visible=False, **self.rectprops)
-            self.ax.add_patch(self.to_draw)
-        if drawtype == 'line':
-            if lineprops is None:
-                lineprops = dict(color='black', linestyle='-',
-                                 linewidth=2, alpha=0.5)
-            self.lineprops = lineprops
-            if self.useblit:
-                self.lineprops['animated'] = True
-            self.to_draw = Line2D([0, 0], [0, 0], visible=False,
-                                  **self.lineprops)
-            self.ax.add_line(self.to_draw)
+    def __init__(self, ax, onselect=None, *, minspanx=0,
+                 minspany=0, useblit=False,
+                 props=None, spancoords='data', button=None, grab_range=10,
+                 handle_props=None, interactive=False,
+                 state_modifier_keys=None, drag_from_anywhere=False,
+                 ignore_event_outside=False, use_data_coordinates=False):
+        super().__init__(ax, onselect, useblit=useblit, button=button,
+                         state_modifier_keys=state_modifier_keys,
+                         use_data_coordinates=use_data_coordinates)
+
+        self._interactive = interactive
+        self.drag_from_anywhere = drag_from_anywhere
+        self.ignore_event_outside = ignore_event_outside
+        self._rotation = 0.0
+        self._aspect_ratio_correction = 1.0
+
+        # State to allow the option of an interactive selector that can't be
+        # interactively drawn. This is used in PolygonSelector as an
+        # interactive bounding box to allow the polygon to be easily resized
+        self._allow_creation = True
+
+        if props is None:
+            props = dict(facecolor='red', edgecolor='black',
+                         alpha=0.2, fill=True)
+        props = {**props, 'animated': self.useblit}
+        self._visible = props.pop('visible', self._visible)
+        to_draw = self._init_shape(**props)
+        self.ax.add_patch(to_draw)
+
+        self._selection_artist = to_draw
+        self._set_aspect_ratio_correction()
 
         self.minspanx = minspanx
         self.minspany = minspany
 
-        assert(spancoords in ('data', 'pixels'))
-
+        _api.check_in_list(['data', 'pixels'], spancoords=spancoords)
         self.spancoords = spancoords
-        self.drawtype = drawtype
-        self.artists = [self.to_draw]
 
-    def press(self, event):
-        """on button press event"""
-        if not _SelectorWidget.press(self, event):
-            return True
-        # make the drawed box/line visible
-        self.to_draw.set_visible(self.visible)
+        self.grab_range = grab_range
+
+        if self._interactive:
+            self._handle_props = {
+                'markeredgecolor': (props or {}).get('edgecolor', 'black'),
+                **cbook.normalize_kwargs(handle_props, Line2D)}
+
+            self._corner_order = ['SW', 'SE', 'NE', 'NW']
+            xc, yc = self.corners
+            self._corner_handles = ToolHandles(self.ax, xc, yc,
+                                               marker_props=self._handle_props,
+                                               useblit=self.useblit)
+
+            self._edge_order = ['W', 'S', 'E', 'N']
+            xe, ye = self.edge_centers
+            self._edge_handles = ToolHandles(self.ax, xe, ye, marker='s',
+                                             marker_props=self._handle_props,
+                                             useblit=self.useblit)
+
+            xc, yc = self.center
+            self._center_handle = ToolHandles(self.ax, [xc], [yc], marker='s',
+                                              marker_props=self._handle_props,
+                                              useblit=self.useblit)
+
+            self._active_handle = None
+
+        self._extents_on_press = None
+
+    @property
+    def _handles_artists(self):
+        return (*self._center_handle.artists, *self._corner_handles.artists,
+                *self._edge_handles.artists)
+
+    def _init_shape(self, **props):
+        return Rectangle((0, 0), 0, 1, visible=False,
+                         rotation_point='center', **props)
+
+    def _press(self, event):
+        """Button press event handler."""
+        # make the drawn box/line visible get the click-coordinates, button, ...
+        if self._interactive and self._selection_artist.get_visible():
+            self._set_active_handle(event)
+        else:
+            self._active_handle = None
+
+        if ((self._active_handle is None or not self._interactive) and
+                self._allow_creation):
+            # Clear previous rectangle before drawing new rectangle.
+            self.update()
+
+        if (self._active_handle is None and not self.ignore_event_outside and
+                self._allow_creation):
+            x, y = self._get_data_coords(event)
+            self._visible = False
+            self.extents = x, x, y, y
+            self._visible = True
+        else:
+            self.set_visible(True)
+
+        self._extents_on_press = self.extents
+        self._rotation_on_press = self._rotation
+        self._set_aspect_ratio_correction()
+
         return False
 
-    def release(self, event):
-        """on button release event"""
-        if not _SelectorWidget.release(self, event):
-            return True
+    def _release(self, event):
+        """Button release event handler."""
+        if not self._interactive:
+            self._selection_artist.set_visible(False)
+
+        if (self._active_handle is None and self._selection_completed and
+                self.ignore_event_outside):
+            return
+
+        # update the eventpress and eventrelease with the resulting extents
+        x0, x1, y0, y1 = self.extents
+        self._eventpress.xdata = x0
+        self._eventpress.ydata = y0
+        xy0 = self.ax.transData.transform([x0, y0])
+        self._eventpress.x, self._eventpress.y = xy0
 
-        # make the box/line invisible again
-        self.to_draw.set_visible(False)
-        self.canvas.draw()
+        self._eventrelease.xdata = x1
+        self._eventrelease.ydata = y1
+        xy1 = self.ax.transData.transform([x1, y1])
+        self._eventrelease.x, self._eventrelease.y = xy1
 
+        # calculate dimensions of box or line
         if self.spancoords == 'data':
-            xmin, ymin = self.eventpress.xdata, self.eventpress.ydata
-            xmax, ymax = self.eventrelease.xdata, self.eventrelease.ydata
-            # calculate dimensions of box or line get values in the right
-            # order
+            spanx = abs(self._eventpress.xdata - self._eventrelease.xdata)
+            spany = abs(self._eventpress.ydata - self._eventrelease.ydata)
         elif self.spancoords == 'pixels':
-            xmin, ymin = self.eventpress.x, self.eventpress.y
-            xmax, ymax = self.eventrelease.x, self.eventrelease.y
+            spanx = abs(self._eventpress.x - self._eventrelease.x)
+            spany = abs(self._eventpress.y - self._eventrelease.y)
         else:
-            raise ValueError('spancoords must be "data" or "pixels"')
-
-        if xmin > xmax:
-            xmin, xmax = xmax, xmin
-        if ymin > ymax:
-            ymin, ymax = ymax, ymin
-
-        spanx = xmax - xmin
-        spany = ymax - ymin
-        xproblems = self.minspanx is not None and spanx < self.minspanx
-        yproblems = self.minspany is not None and spany < self.minspany
-
-        if (((self.drawtype == 'box') or (self.drawtype == 'line')) and
-                (xproblems or yproblems)):
-            # check if drawn distance (if it exists) is not too small in
-            # neither x nor y-direction
-            return
+            _api.check_in_list(['data', 'pixels'],
+                               spancoords=self.spancoords)
+        # check if drawn distance (if it exists) is not too small in
+        # either x or y-direction
+        if spanx <= self.minspanx or spany <= self.minspany:
+            if self._selection_completed:
+                # Call onselect, only when the selection is already existing
+                self.onselect(self._eventpress, self._eventrelease)
+            self._clear_without_update()
+        else:
+            self.onselect(self._eventpress, self._eventrelease)
+            self._selection_completed = True
+
+        self.update()
+        self._active_handle = None
+        self._extents_on_press = None
 
-        self.onselect(self.eventpress, self.eventrelease)
-                                              # call desired function
-        self.eventpress = None
         return False
 
-    def onmove(self, event):
-        """on motion notify event if box/line is wanted"""
-        if self.eventpress is None or self.ignore(event):
-            return
+    def _onmove(self, event):
+        """
+        Motion notify event handler.
 
-        x, y = self._get_data(event)            # actual position (with
-                                                   #   (button still pressed)
-        if self.drawtype == 'box':
-            minx, maxx = self.eventpress.xdata, x  # click-x and actual mouse-x
-            miny, maxy = self.eventpress.ydata, y  # click-y and actual mouse-y
-            if minx > maxx:
-                minx, maxx = maxx, minx  # get them in the right order
-            if miny > maxy:
-                miny, maxy = maxy, miny
-            self.to_draw.set_x(minx)             # set lower left of box
-            self.to_draw.set_y(miny)
-            self.to_draw.set_width(maxx - minx)  # set width and height of box
-            self.to_draw.set_height(maxy - miny)
-            self.update()
-            return False
-        if self.drawtype == 'line':
-            self.to_draw.set_data([self.eventpress.xdata, x],
-                                  [self.eventpress.ydata, y])
-            self.update()
-            return False
+        This can do one of four things:
+        - Translate
+        - Rotate
+        - Re-size
+        - Continue the creation of a new shape
+        """
+        eventpress = self._eventpress
+        # The calculations are done for rotation at zero: we apply inverse
+        # transformation to events except when we rotate and move
+        state = self._state
+        rotate = 'rotate' in state and self._active_handle in self._corner_order
+        move = self._active_handle == 'C'
+        resize = self._active_handle and not move
+
+        xdata, ydata = self._get_data_coords(event)
+        if resize:
+            inv_tr = self._get_rotation_transform().inverted()
+            xdata, ydata = inv_tr.transform([xdata, ydata])
+            eventpress.xdata, eventpress.ydata = inv_tr.transform(
+                (eventpress.xdata, eventpress.ydata))
+
+        dx = xdata - eventpress.xdata
+        dy = ydata - eventpress.ydata
+        # refmax is used when moving the corner handle with the square state
+        # and is the maximum between refx and refy
+        refmax = None
+        if self._use_data_coordinates:
+            refx, refy = dx, dy
+        else:
+            # Get dx/dy in display coordinates
+            refx = event.x - eventpress.x
+            refy = event.y - eventpress.y
+
+        x0, x1, y0, y1 = self._extents_on_press
+        # rotate an existing shape
+        if rotate:
+            # calculate angle abc
+            a = (eventpress.xdata, eventpress.ydata)
+            b = self.center
+            c = (xdata, ydata)
+            angle = (np.arctan2(c[1]-b[1], c[0]-b[0]) -
+                     np.arctan2(a[1]-b[1], a[0]-b[0]))
+            self.rotation = np.rad2deg(self._rotation_on_press + angle)
+
+        elif resize:
+            size_on_press = [x1 - x0, y1 - y0]
+            center = (x0 + size_on_press[0] / 2, y0 + size_on_press[1] / 2)
+
+            # Keeping the center fixed
+            if 'center' in state:
+                # hh, hw are half-height and half-width
+                if 'square' in state:
+                    # when using a corner, find which reference to use
+                    if self._active_handle in self._corner_order:
+                        refmax = max(refx, refy, key=abs)
+                    if self._active_handle in ['E', 'W'] or refmax == refx:
+                        hw = xdata - center[0]
+                        hh = hw / self._aspect_ratio_correction
+                    else:
+                        hh = ydata - center[1]
+                        hw = hh * self._aspect_ratio_correction
+                else:
+                    hw = size_on_press[0] / 2
+                    hh = size_on_press[1] / 2
+                    # cancel changes in perpendicular direction
+                    if self._active_handle in ['E', 'W'] + self._corner_order:
+                        hw = abs(xdata - center[0])
+                    if self._active_handle in ['N', 'S'] + self._corner_order:
+                        hh = abs(ydata - center[1])
+
+                x0, x1, y0, y1 = (center[0] - hw, center[0] + hw,
+                                  center[1] - hh, center[1] + hh)
 
+            else:
+                # change sign of relative changes to simplify calculation
+                # Switch variables so that x1 and/or y1 are updated on move
+                if 'W' in self._active_handle:
+                    x0 = x1
+                if 'S' in self._active_handle:
+                    y0 = y1
+                if self._active_handle in ['E', 'W'] + self._corner_order:
+                    x1 = xdata
+                if self._active_handle in ['N', 'S'] + self._corner_order:
+                    y1 = ydata
+                if 'square' in state:
+                    # when using a corner, find which reference to use
+                    if self._active_handle in self._corner_order:
+                        refmax = max(refx, refy, key=abs)
+                    if self._active_handle in ['E', 'W'] or refmax == refx:
+                        sign = np.sign(ydata - y0)
+                        y1 = y0 + sign * abs(x1 - x0) / self._aspect_ratio_correction
+                    else:
+                        sign = np.sign(xdata - x0)
+                        x1 = x0 + sign * abs(y1 - y0) * self._aspect_ratio_correction
+
+        elif move:
+            x0, x1, y0, y1 = self._extents_on_press
+            dx = xdata - eventpress.xdata
+            dy = ydata - eventpress.ydata
+            x0 += dx
+            x1 += dx
+            y0 += dy
+            y1 += dy
 
-class LassoSelector(_SelectorWidget):
-    """Selection curve of an arbitrary shape.
+        else:
+            # Create a new shape
+            self._rotation = 0
+            # Don't create a new rectangle if there is already one when
+            # ignore_event_outside=True
+            if ((self.ignore_event_outside and self._selection_completed) or
+                    not self._allow_creation):
+                return
+            center = [eventpress.xdata, eventpress.ydata]
+            dx = (xdata - center[0]) / 2
+            dy = (ydata - center[1]) / 2
+
+            # square shape
+            if 'square' in state:
+                refmax = max(refx, refy, key=abs)
+                if refmax == refx:
+                    dy = np.sign(dy) * abs(dx) / self._aspect_ratio_correction
+                else:
+                    dx = np.sign(dx) * abs(dy) * self._aspect_ratio_correction
+
+            # from center
+            if 'center' in state:
+                dx *= 2
+                dy *= 2
+
+            # from corner
+            else:
+                center[0] += dx
+                center[1] += dy
 
-    For the selector to remain responsive you much keep a reference to
-    it.
+            x0, x1, y0, y1 = (center[0] - dx, center[0] + dx,
+                              center[1] - dy, center[1] + dy)
 
-    The selected path can be used in conjunction with
-    :func:`~matplotlib.path.Path.contains_point` to select
-    data points from an image.
+        self.extents = x0, x1, y0, y1
+
+    @property
+    def _rect_bbox(self):
+        return self._selection_artist.get_bbox().bounds
 
-    In contrast to :class:`Lasso`, `LassoSelector` is written with an interface
-    similar to :class:`RectangleSelector` and :class:`SpanSelector` and will
-    continue to interact with the axes until disconnected.
+    def _set_aspect_ratio_correction(self):
+        aspect_ratio = self.ax._get_aspect_ratio()
+        self._selection_artist._aspect_ratio_correction = aspect_ratio
+        if self._use_data_coordinates:
+            self._aspect_ratio_correction = 1
+        else:
+            self._aspect_ratio_correction = aspect_ratio
+
+    def _get_rotation_transform(self):
+        aspect_ratio = self.ax._get_aspect_ratio()
+        return Affine2D().translate(-self.center[0], -self.center[1]) \
+                .scale(1, aspect_ratio) \
+                .rotate(self._rotation) \
+                .scale(1, 1 / aspect_ratio) \
+                .translate(*self.center)
+
+    @property
+    def corners(self):
+        """
+        Corners of rectangle in data coordinates from lower left,
+        moving clockwise.
+        """
+        x0, y0, width, height = self._rect_bbox
+        xc = x0, x0 + width, x0 + width, x0
+        yc = y0, y0, y0 + height, y0 + height
+        transform = self._get_rotation_transform()
+        coords = transform.transform(np.array([xc, yc]).T).T
+        return coords[0], coords[1]
+
+    @property
+    def edge_centers(self):
+        """
+        Midpoint of rectangle edges in data coordinates from left,
+        moving anti-clockwise.
+        """
+        x0, y0, width, height = self._rect_bbox
+        w = width / 2.
+        h = height / 2.
+        xe = x0, x0 + w, x0 + width, x0 + w
+        ye = y0 + h, y0, y0 + h, y0 + height
+        transform = self._get_rotation_transform()
+        coords = transform.transform(np.array([xe, ye]).T).T
+        return coords[0], coords[1]
+
+    @property
+    def center(self):
+        """Center of rectangle in data coordinates."""
+        x0, y0, width, height = self._rect_bbox
+        return x0 + width / 2., y0 + height / 2.
+
+    @property
+    def extents(self):
+        """
+        Return (xmin, xmax, ymin, ymax) in data coordinates as defined by the
+        bounding box before rotation.
+        """
+        x0, y0, width, height = self._rect_bbox
+        xmin, xmax = sorted([x0, x0 + width])
+        ymin, ymax = sorted([y0, y0 + height])
+        return xmin, xmax, ymin, ymax
+
+    @extents.setter
+    def extents(self, extents):
+        # Update displayed shape
+        self._draw_shape(extents)
+        if self._interactive:
+            # Update displayed handles
+            self._corner_handles.set_data(*self.corners)
+            self._edge_handles.set_data(*self.edge_centers)
+            x, y = self.center
+            self._center_handle.set_data([x], [y])
+        self.set_visible(self._visible)
+        self.update()
 
-    Parameters:
+    @property
+    def rotation(self):
+        """
+        Rotation in degree in interval [-45°, 45°]. The rotation is limited in
+        range to keep the implementation simple.
+        """
+        return np.rad2deg(self._rotation)
+
+    @rotation.setter
+    def rotation(self, value):
+        # Restrict to a limited range of rotation [-45°, 45°] to avoid changing
+        # order of handles
+        if -45 <= value and value <= 45:
+            self._rotation = np.deg2rad(value)
+            # call extents setter to draw shape and update handles positions
+            self.extents = self.extents
+
+    def _draw_shape(self, extents):
+        x0, x1, y0, y1 = extents
+        xmin, xmax = sorted([x0, x1])
+        ymin, ymax = sorted([y0, y1])
+        xlim = sorted(self.ax.get_xlim())
+        ylim = sorted(self.ax.get_ylim())
+
+        xmin = max(xlim[0], xmin)
+        ymin = max(ylim[0], ymin)
+        xmax = min(xmax, xlim[1])
+        ymax = min(ymax, ylim[1])
+
+        self._selection_artist.set_x(xmin)
+        self._selection_artist.set_y(ymin)
+        self._selection_artist.set_width(xmax - xmin)
+        self._selection_artist.set_height(ymax - ymin)
+        self._selection_artist.set_angle(self.rotation)
+
+    def _set_active_handle(self, event):
+        """Set active handle based on the location of the mouse event."""
+        # Note: event.xdata/ydata in data coordinates, event.x/y in pixels
+        c_idx, c_dist = self._corner_handles.closest(event.x, event.y)
+        e_idx, e_dist = self._edge_handles.closest(event.x, event.y)
+        m_idx, m_dist = self._center_handle.closest(event.x, event.y)
+
+        if 'move' in self._state:
+            self._active_handle = 'C'
+        # Set active handle as closest handle, if mouse click is close enough.
+        elif m_dist < self.grab_range * 2:
+            # Prioritise center handle over other handles
+            self._active_handle = 'C'
+        elif c_dist > self.grab_range and e_dist > self.grab_range:
+            # Not close to any handles
+            if self.drag_from_anywhere and self._contains(event):
+                # Check if we've clicked inside the region
+                self._active_handle = 'C'
+            else:
+                self._active_handle = None
+                return
+        elif c_dist < e_dist:
+            # Closest to a corner handle
+            self._active_handle = self._corner_order[c_idx]
+        else:
+            # Closest to an edge handle
+            self._active_handle = self._edge_order[e_idx]
 
-    *ax* : :class:`~matplotlib.axes.Axes`
-        The parent axes for the widget.
-    *onselect* : function
-        Whenever the lasso is released, the `onselect` function is called and
-        passed the vertices of the selected path.
+    def _contains(self, event):
+        """Return True if event is within the patch."""
+        return self._selection_artist.contains(event, radius=0)[0]
 
-    Example usage::
+    @property
+    def geometry(self):
+        """
+        Return an array of shape (2, 5) containing the
+        x (``RectangleSelector.geometry[1, :]``) and
+        y (``RectangleSelector.geometry[0, :]``) data coordinates of the four
+        corners of the rectangle starting and ending in the top left corner.
+        """
+        if hasattr(self._selection_artist, 'get_verts'):
+            xfm = self.ax.transData.inverted()
+            y, x = xfm.transform(self._selection_artist.get_verts()).T
+            return np.array([x, y])
+        else:
+            return np.array(self._selection_artist.get_data())
 
-        ax = subplot(111)
-        ax.plot(x,y)
 
-        def onselect(verts):
-            print verts
-        lasso = LassoSelector(ax, onselect)
+@_docstring.Substitution(_RECTANGLESELECTOR_PARAMETERS_DOCSTRING.replace(
+    '__ARTIST_NAME__', 'ellipse'))
+class EllipseSelector(RectangleSelector):
+    """
+    Select an elliptical region of an Axes.
+
+    For the cursor to remain responsive you must keep a reference to it.
 
-     *button* is a list of integers indicating which mouse buttons should
-        be used for rectangle selection.  You can also specify a single
-        integer if only a single button is desired.  Default is *None*,
-        which does not limit which button can be used.
+    Press and release events triggered at the same coordinates outside the
+    selection will clear the selector, except when
+    ``ignore_event_outside=True``.
 
-        Note, typically:
-         1 = left mouse button
-         2 = center mouse button (scroll wheel)
-         3 = right mouse button
+    %s
 
+    Examples
+    --------
+    :doc:`/gallery/widgets/rectangle_selector`
     """
+    def _init_shape(self, **props):
+        return Ellipse((0, 0), 0, 1, visible=False, **props)
+
+    def _draw_shape(self, extents):
+        x0, x1, y0, y1 = extents
+        xmin, xmax = sorted([x0, x1])
+        ymin, ymax = sorted([y0, y1])
+        center = [x0 + (x1 - x0) / 2., y0 + (y1 - y0) / 2.]
+        a = (xmax - xmin) / 2.
+        b = (ymax - ymin) / 2.
+
+        self._selection_artist.center = center
+        self._selection_artist.width = 2 * a
+        self._selection_artist.height = 2 * b
+        self._selection_artist.angle = self.rotation
+
+    @property
+    def _rect_bbox(self):
+        x, y = self._selection_artist.center
+        width = self._selection_artist.width
+        height = self._selection_artist.height
+        return x - width / 2., y - height / 2., width, height
 
-    def __init__(self, ax, onselect=None, useblit=True, lineprops=None,
-            button=None):
-        _SelectorWidget.__init__(self, ax, onselect, useblit=useblit, button=button)
 
-        self.verts = None
+class LassoSelector(_SelectorWidget):
+    """
+    Selection curve of an arbitrary shape.
 
-        if lineprops is None:
-            lineprops = dict()
-        if useblit:
-            lineprops['animated'] = True
-        self.line = Line2D([], [], **lineprops)
-        self.line.set_visible(False)
-        self.ax.add_line(self.line)
-        self.artists = [self.line]
+    For the selector to remain responsive you must keep a reference to it.
 
-    def onpress(self, event):
-        self.press(event)
+    The selected path can be used in conjunction with `~.Path.contains_point`
+    to select data points from an image.
 
-    def press(self, event):
-        if not _SelectorWidget.press(self, event):
-            return
-        self.verts = [self._get_data(event)]
-        self.line.set_visible(True)
+    In contrast to `Lasso`, `LassoSelector` is written with an interface
+    similar to `RectangleSelector` and `SpanSelector`, and will continue to
+    interact with the Axes until disconnected.
 
-    def onrelease(self, event):
-        self.release(event)
+    Example usage::
 
-    def release(self, event):
-        if not _SelectorWidget.release(self, event):
-            return
+        ax = plt.subplot()
+        ax.plot(x, y)
+
+        def onselect(verts):
+            print(verts)
+        lasso = LassoSelector(ax, onselect)
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    onselect : function, optional
+        Whenever the lasso is released, the *onselect* function is called and
+        passed the vertices of the selected path.
+    useblit : bool, default: True
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
+    props : dict, optional
+        Properties with which the line is drawn, see `.Line2D`
+        for valid properties. Default values are defined in ``mpl.rcParams``.
+    button : `.MouseButton` or list of `.MouseButton`, optional
+        The mouse buttons used for rectangle selection.  Default is ``None``,
+        which corresponds to all buttons.
+    """
+
+    def __init__(self, ax, onselect=None, *, useblit=True, props=None, button=None):
+        super().__init__(ax, onselect, useblit=useblit, button=button)
+        self.verts = None
+        props = {
+            **(props if props is not None else {}),
+            # Note that self.useblit may be != useblit, if the canvas doesn't
+            # support blitting.
+            'animated': self.useblit, 'visible': False,
+        }
+        line = Line2D([], [], **props)
+        self.ax.add_line(line)
+        self._selection_artist = line
+
+    def _press(self, event):
+        self.verts = [self._get_data(event)]
+        self._selection_artist.set_visible(True)
+
+    def _release(self, event):
         if self.verts is not None:
             self.verts.append(self._get_data(event))
             self.onselect(self.verts)
-        self.line.set_data([[], []])
-        self.line.set_visible(False)
+        self._selection_artist.set_data([[], []])
+        self._selection_artist.set_visible(False)
         self.verts = None
 
-    def onmove(self, event):
-        if self.ignore(event) or self.verts is None:
+    def _onmove(self, event):
+        if self.verts is None:
             return
         self.verts.append(self._get_data(event))
+        self._selection_artist.set_data(list(zip(*self.verts)))
 
-        self.line.set_data(list(zip(*self.verts)))
+        self.update()
+
+
+class PolygonSelector(_SelectorWidget):
+    """
+    Select a polygon region of an Axes.
+
+    Place vertices with each mouse click, and make the selection by completing
+    the polygon (clicking on the first vertex). Once drawn individual vertices
+    can be moved by clicking and dragging with the left mouse button, or
+    removed by clicking the right mouse button.
+
+    In addition, the following modifier keys can be used:
+
+    - Hold *ctrl* and click and drag a vertex to reposition it before the
+      polygon has been completed.
+    - Hold the *shift* key and click and drag anywhere in the Axes to move
+      all vertices.
+    - Press the *esc* key to start a new polygon.
+
+    For the selector to remain responsive you must keep a reference to it.
+
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+
+    onselect : function, optional
+        When a polygon is completed or modified after completion,
+        the *onselect* function is called and passed a list of the vertices as
+        ``(xdata, ydata)`` tuples.
+
+    useblit : bool, default: False
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
+
+    props : dict, optional
+        Properties with which the line is drawn, see `.Line2D` for valid properties.
+        Default::
+
+            dict(color='k', linestyle='-', linewidth=2, alpha=0.5)
+
+    handle_props : dict, optional
+        Artist properties for the markers drawn at the vertices of the polygon.
+        See the marker arguments in `.Line2D` for valid
+        properties.  Default values are defined in ``mpl.rcParams`` except for
+        the default value of ``markeredgecolor`` which will be the same as the
+        ``color`` property in *props*.
+
+    grab_range : float, default: 10
+        A vertex is selected (to complete the polygon or to move a vertex) if
+        the mouse click is within *grab_range* pixels of the vertex.
+
+    draw_bounding_box : bool, optional
+        If `True`, a bounding box will be drawn around the polygon selector
+        once it is complete. This box can be used to move and resize the
+        selector.
+
+    box_handle_props : dict, optional
+        Properties to set for the box handles. See the documentation for the
+        *handle_props* argument to `RectangleSelector` for more info.
+
+    box_props : dict, optional
+        Properties to set for the box. See the documentation for the *props*
+        argument to `RectangleSelector` for more info.
+
+    Examples
+    --------
+    :doc:`/gallery/widgets/polygon_selector_simple`
+    :doc:`/gallery/widgets/polygon_selector_demo`
+
+    Notes
+    -----
+    If only one point remains after removing points, the selector reverts to an
+    incomplete state and you can start drawing a new polygon from the existing
+    point.
+    """
+
+    def __init__(self, ax, onselect=None, *, useblit=False,
+                 props=None, handle_props=None, grab_range=10,
+                 draw_bounding_box=False, box_handle_props=None,
+                 box_props=None):
+        # The state modifiers 'move', 'square', and 'center' are expected by
+        # _SelectorWidget but are not supported by PolygonSelector
+        # Note: could not use the existing 'move' state modifier in-place of
+        # 'move_all' because _SelectorWidget automatically discards 'move'
+        # from the state on button release.
+        state_modifier_keys = dict(clear='escape', move_vertex='control',
+                                   move_all='shift', move='not-applicable',
+                                   square='not-applicable',
+                                   center='not-applicable',
+                                   rotate='not-applicable')
+        super().__init__(ax, onselect, useblit=useblit,
+                         state_modifier_keys=state_modifier_keys)
+
+        self._xys = [(0, 0)]
+
+        if props is None:
+            props = dict(color='k', linestyle='-', linewidth=2, alpha=0.5)
+        props = {**props, 'animated': self.useblit}
+        self._selection_artist = line = Line2D([], [], **props)
+        self.ax.add_line(line)
+
+        if handle_props is None:
+            handle_props = dict(markeredgecolor='k',
+                                markerfacecolor=props.get('color', 'k'))
+        self._handle_props = handle_props
+        self._polygon_handles = ToolHandles(self.ax, [], [],
+                                            useblit=self.useblit,
+                                            marker_props=self._handle_props)
+
+        self._active_handle_idx = -1
+        self.grab_range = grab_range
+
+        self.set_visible(True)
+        self._draw_box = draw_bounding_box
+        self._box = None
+
+        if box_handle_props is None:
+            box_handle_props = {}
+        self._box_handle_props = self._handle_props.update(box_handle_props)
+        self._box_props = box_props
+
+    def _get_bbox(self):
+        return self._selection_artist.get_bbox()
+
+    def _add_box(self):
+        self._box = RectangleSelector(self.ax,
+                                      useblit=self.useblit,
+                                      grab_range=self.grab_range,
+                                      handle_props=self._box_handle_props,
+                                      props=self._box_props,
+                                      interactive=True)
+        self._box._state_modifier_keys.pop('rotate')
+        self._box.connect_event('motion_notify_event', self._scale_polygon)
+        self._update_box()
+        # Set state that prevents the RectangleSelector from being created
+        # by the user
+        self._box._allow_creation = False
+        self._box._selection_completed = True
+        self._draw_polygon()
+
+    def _remove_box(self):
+        if self._box is not None:
+            self._box.set_visible(False)
+            self._box = None
+
+    def _update_box(self):
+        # Update selection box extents to the extents of the polygon
+        if self._box is not None:
+            bbox = self._get_bbox()
+            self._box.extents = [bbox.x0, bbox.x1, bbox.y0, bbox.y1]
+            # Save a copy
+            self._old_box_extents = self._box.extents
+
+    def _scale_polygon(self, event):
+        """
+        Scale the polygon selector points when the bounding box is moved or
+        scaled.
+
+        This is set as a callback on the bounding box RectangleSelector.
+        """
+        if not self._selection_completed:
+            return
+
+        if self._old_box_extents == self._box.extents:
+            return
+
+        # Create transform from old box to new box
+        x1, y1, w1, h1 = self._box._rect_bbox
+        old_bbox = self._get_bbox()
+        t = (transforms.Affine2D()
+             .translate(-old_bbox.x0, -old_bbox.y0)
+             .scale(1 / old_bbox.width, 1 / old_bbox.height)
+             .scale(w1, h1)
+             .translate(x1, y1))
+
+        # Update polygon verts.  Must be a list of tuples for consistency.
+        new_verts = [(x, y) for x, y in t.transform(np.array(self.verts))]
+        self._xys = [*new_verts, new_verts[0]]
+        self._draw_polygon()
+        self._old_box_extents = self._box.extents
+
+    @property
+    def _handles_artists(self):
+        return self._polygon_handles.artists
+
+    def _remove_vertex(self, i):
+        """Remove vertex with index i."""
+        if (len(self._xys) > 2 and
+                self._selection_completed and
+                i in (0, len(self._xys) - 1)):
+            # If selecting the first or final vertex, remove both first and
+            # last vertex as they are the same for a closed polygon
+            self._xys.pop(0)
+            self._xys.pop(-1)
+            # Close the polygon again by appending the new first vertex to the
+            # end
+            self._xys.append(self._xys[0])
+        else:
+            self._xys.pop(i)
+        if len(self._xys) <= 2:
+            # If only one point left, return to incomplete state to let user
+            # start drawing again
+            self._selection_completed = False
+            self._remove_box()
+
+    def _press(self, event):
+        """Button press event handler."""
+        # Check for selection of a tool handle.
+        if ((self._selection_completed or 'move_vertex' in self._state)
+                and len(self._xys) > 0):
+            h_idx, h_dist = self._polygon_handles.closest(event.x, event.y)
+            if h_dist < self.grab_range:
+                self._active_handle_idx = h_idx
+        # Save the vertex positions at the time of the press event (needed to
+        # support the 'move_all' state modifier).
+        self._xys_at_press = self._xys.copy()
+
+    def _release(self, event):
+        """Button release event handler."""
+        # Release active tool handle.
+        if self._active_handle_idx >= 0:
+            if event.button == 3:
+                self._remove_vertex(self._active_handle_idx)
+                self._draw_polygon()
+            self._active_handle_idx = -1
+
+        # Complete the polygon.
+        elif len(self._xys) > 3 and self._xys[-1] == self._xys[0]:
+            self._selection_completed = True
+            if self._draw_box and self._box is None:
+                self._add_box()
+
+        # Place new vertex.
+        elif (not self._selection_completed
+              and 'move_all' not in self._state
+              and 'move_vertex' not in self._state):
+            self._xys.insert(-1, self._get_data_coords(event))
+
+        if self._selection_completed:
+            self.onselect(self.verts)
+
+    def onmove(self, event):
+        """Cursor move event handler and validator."""
+        # Method overrides _SelectorWidget.onmove because the polygon selector
+        # needs to process the move callback even if there is no button press.
+        # _SelectorWidget.onmove include logic to ignore move event if
+        # _eventpress is None.
+        if self.ignore(event):
+            # Hide the cursor when interactive zoom/pan is active
+            if not self.canvas.widgetlock.available(self) and self._xys:
+                self._xys[-1] = (np.nan, np.nan)
+                self._draw_polygon()
+            return False
+
+        else:
+            event = self._clean_event(event)
+            self._onmove(event)
+            return True
 
+    def _onmove(self, event):
+        """Cursor move event handler."""
+        # Move the active vertex (ToolHandle).
+        if self._active_handle_idx >= 0:
+            idx = self._active_handle_idx
+            self._xys[idx] = self._get_data_coords(event)
+            # Also update the end of the polygon line if the first vertex is
+            # the active handle and the polygon is completed.
+            if idx == 0 and self._selection_completed:
+                self._xys[-1] = self._get_data_coords(event)
+
+        # Move all vertices.
+        elif 'move_all' in self._state and self._eventpress:
+            xdata, ydata = self._get_data_coords(event)
+            dx = xdata - self._eventpress.xdata
+            dy = ydata - self._eventpress.ydata
+            for k in range(len(self._xys)):
+                x_at_press, y_at_press = self._xys_at_press[k]
+                self._xys[k] = x_at_press + dx, y_at_press + dy
+
+        # Do nothing if completed or waiting for a move.
+        elif (self._selection_completed
+              or 'move_vertex' in self._state or 'move_all' in self._state):
+            return
+
+        # Position pending vertex.
+        else:
+            # Calculate distance to the start vertex.
+            x0, y0 = \
+                self._selection_artist.get_transform().transform(self._xys[0])
+            v0_dist = np.hypot(x0 - event.x, y0 - event.y)
+            # Lock on to the start vertex if near it and ready to complete.
+            if len(self._xys) > 3 and v0_dist < self.grab_range:
+                self._xys[-1] = self._xys[0]
+            else:
+                self._xys[-1] = self._get_data_coords(event)
+
+        self._draw_polygon()
+
+    def _on_key_press(self, event):
+        """Key press event handler."""
+        # Remove the pending vertex if entering the 'move_vertex' or
+        # 'move_all' mode
+        if (not self._selection_completed
+                and ('move_vertex' in self._state or
+                     'move_all' in self._state)):
+            self._xys.pop()
+            self._draw_polygon()
+
+    def _on_key_release(self, event):
+        """Key release event handler."""
+        # Add back the pending vertex if leaving the 'move_vertex' or
+        # 'move_all' mode (by checking the released key)
+        if (not self._selection_completed
+                and
+                (event.key == self._state_modifier_keys.get('move_vertex')
+                 or event.key == self._state_modifier_keys.get('move_all'))):
+            self._xys.append(self._get_data_coords(event))
+            self._draw_polygon()
+        # Reset the polygon if the released key is the 'clear' key.
+        elif event.key == self._state_modifier_keys.get('clear'):
+            event = self._clean_event(event)
+            self._xys = [self._get_data_coords(event)]
+            self._selection_completed = False
+            self._remove_box()
+            self.set_visible(True)
+
+    def _draw_polygon_without_update(self):
+        """Redraw the polygon based on new vertex positions, no update()."""
+        xs, ys = zip(*self._xys) if self._xys else ([], [])
+        self._selection_artist.set_data(xs, ys)
+        self._update_box()
+        # Only show one tool handle at the start and end vertex of the polygon
+        # if the polygon is completed or the user is locked on to the start
+        # vertex.
+        if (self._selection_completed
+                or (len(self._xys) > 3
+                    and self._xys[-1] == self._xys[0])):
+            self._polygon_handles.set_data(xs[:-1], ys[:-1])
+        else:
+            self._polygon_handles.set_data(xs, ys)
+
+    def _draw_polygon(self):
+        """Redraw the polygon based on the new vertex positions."""
+        self._draw_polygon_without_update()
         self.update()
 
+    @property
+    def verts(self):
+        """The polygon vertices, as a list of ``(x, y)`` pairs."""
+        return self._xys[:-1]
+
+    @verts.setter
+    def verts(self, xys):
+        """
+        Set the polygon vertices.
+
+        This will remove any preexisting vertices, creating a complete polygon
+        with the new vertices.
+        """
+        self._xys = [*xys, xys[0]]
+        self._selection_completed = True
+        self.set_visible(True)
+        if self._draw_box and self._box is None:
+            self._add_box()
+        self._draw_polygon()
+
+    def _clear_without_update(self):
+        self._selection_completed = False
+        self._xys = [(0, 0)]
+        self._draw_polygon_without_update()
+
 
 class Lasso(AxesWidget):
-    """Selection curve of an arbitrary shape.
+    """
+    Selection curve of an arbitrary shape.
 
     The selected path can be used in conjunction with
-    :func:`~matplotlib.path.Path.contains_point` to select data points
-    from an image.
-
-    Unlike :class:`LassoSelector`, this must be initialized with a starting
-    point `xy`, and the `Lasso` events are destroyed upon release.
+    `~matplotlib.path.Path.contains_point` to select data points from an image.
 
-    Parameters:
+    Unlike `LassoSelector`, this must be initialized with a starting
+    point *xy*, and the `Lasso` events are destroyed upon release.
 
-    *ax* : :class:`~matplotlib.axes.Axes`
-        The parent axes for the widget.
-    *xy* : array
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        The parent Axes for the widget.
+    xy : (float, float)
         Coordinates of the start of the lasso.
-    *callback* : function
-        Whenever the lasso is released, the `callback` function is called and
+    callback : callable
+        Whenever the lasso is released, the *callback* function is called and
         passed the vertices of the selected path.
+    useblit : bool, default: True
+        Whether to use blitting for faster drawing (if supported by the
+        backend). See the tutorial :ref:`blitting`
+        for details.
+    props: dict, optional
+        Lasso line properties. See `.Line2D` for valid properties.
+        Default *props* are::
 
-    """
+            {'linestyle' : '-', 'color' : 'black', 'lw' : 2}
 
-    def __init__(self, ax, xy, callback=None, useblit=True):
-        AxesWidget.__init__(self, ax)
+        .. versionadded:: 3.9
+    """
+    def __init__(self, ax, xy, callback, *, useblit=True, props=None):
+        super().__init__(ax)
 
         self.useblit = useblit and self.canvas.supports_blit
         if self.useblit:
             self.background = self.canvas.copy_from_bbox(self.ax.bbox)
 
+        style = {'linestyle': '-', 'color': 'black', 'lw': 2}
+
+        if props is not None:
+            style.update(props)
+
         x, y = xy
         self.verts = [(x, y)]
-        self.line = Line2D([x], [y], linestyle='-', color='black', lw=2)
+        self.line = Line2D([x], [y], **style)
         self.ax.add_line(self.line)
         self.callback = callback
         self.connect_event('button_release_event', self.onrelease)
@@ -1766,24 +4151,20 @@ def onrelease(self, event):
         if self.ignore(event):
             return
         if self.verts is not None:
-            self.verts.append((event.xdata, event.ydata))
+            self.verts.append(self._get_data_coords(event))
             if len(self.verts) > 2:
                 self.callback(self.verts)
-            self.ax.lines.remove(self.line)
+            self.line.remove()
         self.verts = None
         self.disconnect_events()
 
     def onmove(self, event):
-        if self.ignore(event):
-            return
-        if self.verts is None:
-            return
-        if event.inaxes != self.ax:
+        if (self.ignore(event)
+                or self.verts is None
+                or event.button != 1
+                or not self.ax.contains(event)[0]):
             return
-        if event.button != 1:
-            return
-        self.verts.append((event.xdata, event.ydata))
-
+        self.verts.append(self._get_data_coords(event))
         self.line.set_data(list(zip(*self.verts)))
 
         if self.useblit:
diff --git a/lib/matplotlib/widgets.pyi b/lib/matplotlib/widgets.pyi
new file mode 100644
index 000000000000..0fcd1990e17e
--- /dev/null
+++ b/lib/matplotlib/widgets.pyi
@@ -0,0 +1,488 @@
+from .artist import Artist
+from .axes import Axes
+from .backend_bases import FigureCanvasBase, Event, MouseEvent, MouseButton
+from .collections import LineCollection
+from .figure import Figure
+from .lines import Line2D
+from .patches import Polygon, Rectangle
+from .text import Text
+
+import PIL.Image
+
+from collections.abc import Callable, Collection, Iterable, Sequence
+from typing import Any, Literal
+from numpy.typing import ArrayLike
+from .typing import ColorType
+import numpy as np
+
+class LockDraw:
+    def __init__(self) -> None: ...
+    def __call__(self, o: Any) -> None: ...
+    def release(self, o: Any) -> None: ...
+    def available(self, o: Any) -> bool: ...
+    def isowner(self, o: Any) -> bool: ...
+    def locked(self) -> bool: ...
+
+class Widget:
+    drawon: bool
+    eventson: bool
+    active: bool
+    def set_active(self, active: bool) -> None: ...
+    def get_active(self) -> None: ...
+    def ignore(self, event) -> bool: ...
+
+class AxesWidget(Widget):
+    ax: Axes
+    def __init__(self, ax: Axes) -> None: ...
+    @property
+    def canvas(self) -> FigureCanvasBase | None: ...
+    def connect_event(self, event: Event, callback: Callable) -> None: ...
+    def disconnect_events(self) -> None: ...
+
+class Button(AxesWidget):
+    label: Text
+    color: ColorType
+    hovercolor: ColorType
+    def __init__(
+        self,
+        ax: Axes,
+        label: str,
+        image: ArrayLike | PIL.Image.Image | None = ...,
+        color: ColorType = ...,
+        hovercolor: ColorType = ...,
+        *,
+        useblit: bool = ...
+    ) -> None: ...
+    def on_clicked(self, func: Callable[[Event], Any]) -> int: ...
+    def disconnect(self, cid: int) -> None: ...
+
+class SliderBase(AxesWidget):
+    orientation: Literal["horizontal", "vertical"]
+    closedmin: bool
+    closedmax: bool
+    valmin: float
+    valmax: float
+    valstep: float | ArrayLike | None
+    drag_active: bool
+    valfmt: str
+    def __init__(
+        self,
+        ax: Axes,
+        orientation: Literal["horizontal", "vertical"],
+        closedmin: bool,
+        closedmax: bool,
+        valmin: float,
+        valmax: float,
+        valfmt: str,
+        dragging: Slider | None,
+        valstep: float | ArrayLike | None,
+    ) -> None: ...
+    def disconnect(self, cid: int) -> None: ...
+    def reset(self) -> None: ...
+
+class Slider(SliderBase):
+    slidermin: Slider | None
+    slidermax: Slider | None
+    val: float
+    valinit: float
+    track: Rectangle
+    poly: Polygon
+    hline: Line2D
+    vline: Line2D
+    label: Text
+    valtext: Text
+    def __init__(
+        self,
+        ax: Axes,
+        label: str,
+        valmin: float,
+        valmax: float,
+        *,
+        valinit: float = ...,
+        valfmt: str | None = ...,
+        closedmin: bool = ...,
+        closedmax: bool = ...,
+        slidermin: Slider | None = ...,
+        slidermax: Slider | None = ...,
+        dragging: bool = ...,
+        valstep: float | ArrayLike | None = ...,
+        orientation: Literal["horizontal", "vertical"] = ...,
+        initcolor: ColorType = ...,
+        track_color: ColorType = ...,
+        handle_style: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_val(self, val: float) -> None: ...
+    def on_changed(self, func: Callable[[float], Any]) -> int: ...
+
+class RangeSlider(SliderBase):
+    val: tuple[float, float]
+    valinit: tuple[float, float]
+    track: Rectangle
+    poly: Polygon
+    label: Text
+    valtext: Text
+    def __init__(
+        self,
+        ax: Axes,
+        label: str,
+        valmin: float,
+        valmax: float,
+        *,
+        valinit: tuple[float, float] | None = ...,
+        valfmt: str | None = ...,
+        closedmin: bool = ...,
+        closedmax: bool = ...,
+        dragging: bool = ...,
+        valstep: float | ArrayLike | None = ...,
+        orientation: Literal["horizontal", "vertical"] = ...,
+        track_color: ColorType = ...,
+        handle_style: dict[str, Any] | None = ...,
+        **kwargs
+    ) -> None: ...
+    def set_min(self, min: float) -> None: ...
+    def set_max(self, max: float) -> None: ...
+    def set_val(self, val: ArrayLike) -> None: ...
+    def on_changed(self, func: Callable[[tuple[float, float]], Any]) -> int: ...
+
+class CheckButtons(AxesWidget):
+    labels: list[Text]
+    def __init__(
+        self,
+        ax: Axes,
+        labels: Sequence[str],
+        actives: Iterable[bool] | None = ...,
+        *,
+        useblit: bool = ...,
+        label_props: dict[str, Any] | None = ...,
+        frame_props: dict[str, Any] | None = ...,
+        check_props: dict[str, Any] | None = ...,
+    ) -> None: ...
+    def set_label_props(self, props: dict[str, Any]) -> None: ...
+    def set_frame_props(self, props: dict[str, Any]) -> None: ...
+    def set_check_props(self, props: dict[str, Any]) -> None: ...
+    def set_active(self, index: int, state: bool | None = ...) -> None: ...  # type: ignore[override]
+    def clear(self) -> None: ...
+    def get_status(self) -> list[bool]: ...
+    def get_checked_labels(self) -> list[str]: ...
+    def on_clicked(self, func: Callable[[str | None], Any]) -> int: ...
+    def disconnect(self, cid: int) -> None: ...
+
+class TextBox(AxesWidget):
+    label: Text
+    text_disp: Text
+    cursor_index: int
+    cursor: LineCollection
+    color: ColorType
+    hovercolor: ColorType
+    capturekeystrokes: bool
+    def __init__(
+        self,
+        ax: Axes,
+        label: str,
+        initial: str = ...,
+        *,
+        color: ColorType = ...,
+        hovercolor: ColorType = ...,
+        label_pad: float = ...,
+        textalignment: Literal["left", "center", "right"] = ...,
+    ) -> None: ...
+    @property
+    def text(self) -> str: ...
+    def set_val(self, val: str) -> None: ...
+    def begin_typing(self) -> None: ...
+    def stop_typing(self) -> None: ...
+    def on_text_change(self, func: Callable[[str], Any]) -> int: ...
+    def on_submit(self, func: Callable[[str], Any]) -> int: ...
+    def disconnect(self, cid: int) -> None: ...
+
+class RadioButtons(AxesWidget):
+    activecolor: ColorType
+    value_selected: str
+    labels: list[Text]
+    def __init__(
+        self,
+        ax: Axes,
+        labels: Iterable[str],
+        active: int = ...,
+        activecolor: ColorType | None = ...,
+        *,
+        useblit: bool = ...,
+        label_props: dict[str, Any] | Sequence[dict[str, Any]] | None = ...,
+        radio_props: dict[str, Any] | None = ...,
+    ) -> None: ...
+    def set_label_props(self, props: dict[str, Any]) -> None: ...
+    def set_radio_props(self, props: dict[str, Any]) -> None: ...
+    def set_active(self, index: int) -> None: ...
+    def clear(self) -> None: ...
+    def on_clicked(self, func: Callable[[str | None], Any]) -> int: ...
+    def disconnect(self, cid: int) -> None: ...
+
+class SubplotTool(Widget):
+    figure: Figure
+    targetfig: Figure
+    buttonreset: Button
+    def __init__(self, targetfig: Figure, toolfig: Figure) -> None: ...
+
+class Cursor(AxesWidget):
+    visible: bool
+    horizOn: bool
+    vertOn: bool
+    useblit: bool
+    lineh: Line2D
+    linev: Line2D
+    background: Any
+    needclear: bool
+    def __init__(
+        self,
+        ax: Axes,
+        *,
+        horizOn: bool = ...,
+        vertOn: bool = ...,
+        useblit: bool = ...,
+        **lineprops
+    ) -> None: ...
+    def clear(self, event: Event) -> None: ...
+    def onmove(self, event: Event) -> None: ...
+
+class MultiCursor(Widget):
+    axes: Sequence[Axes]
+    horizOn: bool
+    vertOn: bool
+    visible: bool
+    useblit: bool
+    vlines: list[Line2D]
+    hlines: list[Line2D]
+    def __init__(
+        self,
+        canvas: Any,
+        axes: Sequence[Axes],
+        *,
+        useblit: bool = ...,
+        horizOn: bool = ...,
+        vertOn: bool = ...,
+        **lineprops
+    ) -> None: ...
+    def connect(self) -> None: ...
+    def disconnect(self) -> None: ...
+    def clear(self, event: Event) -> None: ...
+    def onmove(self, event: Event) -> None: ...
+
+class _SelectorWidget(AxesWidget):
+    onselect: Callable[[float, float], Any]
+    useblit: bool
+    background: Any
+    validButtons: list[MouseButton]
+    def __init__(
+        self,
+        ax: Axes,
+        onselect: Callable[[float, float], Any] | None = ...,
+        useblit: bool = ...,
+        button: MouseButton | Collection[MouseButton] | None = ...,
+        state_modifier_keys: dict[str, str] | None = ...,
+        use_data_coordinates: bool = ...,
+    ) -> None: ...
+    def update_background(self, event: Event) -> None: ...
+    def connect_default_events(self) -> None: ...
+    def ignore(self, event: Event) -> bool: ...
+    def update(self) -> None: ...
+    def press(self, event: Event) -> bool: ...
+    def release(self, event: Event) -> bool: ...
+    def onmove(self, event: Event) -> bool: ...
+    def on_scroll(self, event: Event) -> None: ...
+    def on_key_press(self, event: Event) -> None: ...
+    def on_key_release(self, event: Event) -> None: ...
+    def set_visible(self, visible: bool) -> None: ...
+    def get_visible(self) -> bool: ...
+    def clear(self) -> None: ...
+    @property
+    def artists(self) -> tuple[Artist]: ...
+    def set_props(self, **props) -> None: ...
+    def set_handle_props(self, **handle_props) -> None: ...
+    def add_state(self, state: str) -> None: ...
+    def remove_state(self, state: str) -> None: ...
+
+class SpanSelector(_SelectorWidget):
+    snap_values: ArrayLike | None
+    onmove_callback: Callable[[float, float], Any]
+    minspan: float
+    grab_range: float
+    drag_from_anywhere: bool
+    ignore_event_outside: bool
+    def __init__(
+        self,
+        ax: Axes,
+        onselect: Callable[[float, float], Any],
+        direction: Literal["horizontal", "vertical"],
+        *,
+        minspan: float = ...,
+        useblit: bool = ...,
+        props: dict[str, Any] | None = ...,
+        onmove_callback: Callable[[float, float], Any] | None = ...,
+        interactive: bool = ...,
+        button: MouseButton | Collection[MouseButton] | None = ...,
+        handle_props: dict[str, Any] | None = ...,
+        grab_range: float = ...,
+        state_modifier_keys: dict[str, str] | None = ...,
+        drag_from_anywhere: bool = ...,
+        ignore_event_outside: bool = ...,
+        snap_values: ArrayLike | None = ...,
+    ) -> None: ...
+    def new_axes(
+        self,
+        ax: Axes,
+        *,
+        _props: dict[str, Any] | None = ...,
+        _init: bool = ...,
+    ) -> None: ...
+    def connect_default_events(self) -> None: ...
+    @property
+    def direction(self) -> Literal["horizontal", "vertical"]: ...
+    @direction.setter
+    def direction(self, direction: Literal["horizontal", "vertical"]) -> None: ...
+    @property
+    def extents(self) -> tuple[float, float]: ...
+    @extents.setter
+    def extents(self, extents: tuple[float, float]) -> None: ...
+
+class ToolLineHandles:
+    ax: Axes
+    def __init__(
+        self,
+        ax: Axes,
+        positions: ArrayLike,
+        direction: Literal["horizontal", "vertical"],
+        *,
+        line_props: dict[str, Any] | None = ...,
+        useblit: bool = ...,
+    ) -> None: ...
+    @property
+    def artists(self) -> tuple[Line2D]: ...
+    @property
+    def positions(self) -> list[float]: ...
+    @property
+    def direction(self) -> Literal["horizontal", "vertical"]: ...
+    def set_data(self, positions: ArrayLike) -> None: ...
+    def set_visible(self, value: bool) -> None: ...
+    def set_animated(self, value: bool) -> None: ...
+    def remove(self) -> None: ...
+    def closest(self, x: float, y: float) -> tuple[int, float]: ...
+
+class ToolHandles:
+    ax: Axes
+    def __init__(
+        self,
+        ax: Axes,
+        x: ArrayLike,
+        y: ArrayLike,
+        *,
+        marker: str = ...,
+        marker_props: dict[str, Any] | None = ...,
+        useblit: bool = ...,
+    ) -> None: ...
+    @property
+    def x(self) -> ArrayLike: ...
+    @property
+    def y(self) -> ArrayLike: ...
+    @property
+    def artists(self) -> tuple[Line2D]: ...
+    def set_data(self, pts: ArrayLike, y: ArrayLike | None = ...) -> None: ...
+    def set_visible(self, val: bool) -> None: ...
+    def set_animated(self, val: bool) -> None: ...
+    def closest(self, x: float, y: float) -> tuple[int, float]: ...
+
+class RectangleSelector(_SelectorWidget):
+    drag_from_anywhere: bool
+    ignore_event_outside: bool
+    minspanx: float
+    minspany: float
+    spancoords: Literal["data", "pixels"]
+    grab_range: float
+    def __init__(
+        self,
+        ax: Axes,
+        onselect: Callable[[MouseEvent, MouseEvent], Any] | None = ...,
+        *,
+        minspanx: float = ...,
+        minspany: float = ...,
+        useblit: bool = ...,
+        props: dict[str, Any] | None = ...,
+        spancoords: Literal["data", "pixels"] = ...,
+        button: MouseButton | Collection[MouseButton] | None = ...,
+        grab_range: float = ...,
+        handle_props: dict[str, Any] | None = ...,
+        interactive: bool = ...,
+        state_modifier_keys: dict[str, str] | None = ...,
+        drag_from_anywhere: bool = ...,
+        ignore_event_outside: bool = ...,
+        use_data_coordinates: bool = ...,
+    ) -> None: ...
+    @property
+    def corners(self) -> tuple[np.ndarray, np.ndarray]: ...
+    @property
+    def edge_centers(self) -> tuple[np.ndarray, np.ndarray]: ...
+    @property
+    def center(self) -> tuple[float, float]: ...
+    @property
+    def extents(self) -> tuple[float, float, float, float]: ...
+    @extents.setter
+    def extents(self, extents: tuple[float, float, float, float]) -> None: ...
+    @property
+    def rotation(self) -> float: ...
+    @rotation.setter
+    def rotation(self, value: float) -> None: ...
+    @property
+    def geometry(self) -> np.ndarray: ...
+
+class EllipseSelector(RectangleSelector): ...
+
+class LassoSelector(_SelectorWidget):
+    verts: None | list[tuple[float, float]]
+    def __init__(
+        self,
+        ax: Axes,
+        onselect: Callable[[list[tuple[float, float]]], Any] | None = ...,
+        *,
+        useblit: bool = ...,
+        props: dict[str, Any] | None = ...,
+        button: MouseButton | Collection[MouseButton] | None = ...,
+    ) -> None: ...
+
+class PolygonSelector(_SelectorWidget):
+    grab_range: float
+    def __init__(
+        self,
+        ax: Axes,
+        onselect: Callable[[ArrayLike, ArrayLike], Any] | None = ...,
+        *,
+        useblit: bool = ...,
+        props: dict[str, Any] | None = ...,
+        handle_props: dict[str, Any] | None = ...,
+        grab_range: float = ...,
+        draw_bounding_box: bool = ...,
+        box_handle_props: dict[str, Any] | None = ...,
+        box_props: dict[str, Any] | None = ...
+    ) -> None: ...
+    def onmove(self, event: Event) -> bool: ...
+    @property
+    def verts(self) -> list[tuple[float, float]]: ...
+    @verts.setter
+    def verts(self, xys: Sequence[tuple[float, float]]) -> None: ...
+
+class Lasso(AxesWidget):
+    useblit: bool
+    background: Any
+    verts: list[tuple[float, float]] | None
+    line: Line2D
+    callback: Callable[[list[tuple[float, float]]], Any]
+    def __init__(
+        self,
+        ax: Axes,
+        xy: tuple[float, float],
+        callback: Callable[[list[tuple[float, float]]], Any],
+        *,
+        useblit: bool = ...,
+        props: dict[str, Any] | None = ...,
+    ) -> None: ...
+    def onrelease(self, event: Event) -> None: ...
+    def onmove(self, event: Event) -> None: ...
diff --git a/lib/meson.build b/lib/meson.build
new file mode 100644
index 000000000000..9701a7da98dd
--- /dev/null
+++ b/lib/meson.build
@@ -0,0 +1,8 @@
+python_sources = [
+  'pylab.py',
+]
+
+py3.install_sources(python_sources)
+
+subdir('matplotlib')
+subdir('mpl_toolkits')
diff --git a/lib/mpl_examples b/lib/mpl_examples
deleted file mode 120000
index a6573af9c9da..000000000000
--- a/lib/mpl_examples
+++ /dev/null
@@ -1 +0,0 @@
-../examples
\ No newline at end of file
diff --git a/lib/mpl_toolkits/__init__.py b/lib/mpl_toolkits/__init__.py
deleted file mode 100644
index 8d9942e652d5..000000000000
--- a/lib/mpl_toolkits/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-try:
-    __import__('pkg_resources').declare_namespace(__name__)
-except ImportError:
-    pass # must not have setuptools
diff --git a/lib/mpl_toolkits/axes_grid/ChangeLog b/lib/mpl_toolkits/axes_grid/ChangeLog
deleted file mode 100644
index 79cc01cfdf40..000000000000
--- a/lib/mpl_toolkits/axes_grid/ChangeLog
+++ /dev/null
@@ -1,13 +0,0 @@
-2009-06-01  Jae-Joon Lee  <lee.j.joon@gmail.com>
-
-	* axislines.py (Axes.toggle_axisline): fix broken spine support.
-	(AxisArtistHelper): Initial support for curvelinear grid and ticks.
-
-2009-05-04  Jae-Joon Lee  <lee.j.joon@gmail.com>
-
-	* inset_locator.py (inset_axes, zoomed_inset_axes): axes_class support
-
-	* axislines.py : Better support for tick (tick label) color
-	handling
-	(Axes.get_children): fix typo
-
diff --git a/lib/mpl_toolkits/axes_grid/__init__.py b/lib/mpl_toolkits/axes_grid/__init__.py
deleted file mode 100644
index 8e9fd9e21968..000000000000
--- a/lib/mpl_toolkits/axes_grid/__init__.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from . import axes_size as Size
-from .axes_divider import Divider, SubplotDivider, LocatableAxes, \
-     make_axes_locatable
-from .axes_grid import Grid, ImageGrid, AxesGrid
-#from axes_divider import make_axes_locatable
diff --git a/lib/mpl_toolkits/axes_grid/anchored_artists.py b/lib/mpl_toolkits/axes_grid/anchored_artists.py
deleted file mode 100644
index 09f281276fcc..000000000000
--- a/lib/mpl_toolkits/axes_grid/anchored_artists.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox, VPacker,\
-     TextArea, AnchoredText, DrawingArea, AnnotationBbox
-
-from mpl_toolkits.axes_grid1.anchored_artists import \
-         AnchoredDrawingArea, AnchoredAuxTransformBox, \
-         AnchoredEllipse, AnchoredSizeBar
diff --git a/lib/mpl_toolkits/axes_grid/angle_helper.py b/lib/mpl_toolkits/axes_grid/angle_helper.py
deleted file mode 100644
index da894aeff92c..000000000000
--- a/lib/mpl_toolkits/axes_grid/angle_helper.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.angle_helper import *
diff --git a/lib/mpl_toolkits/axes_grid/axes_divider.py b/lib/mpl_toolkits/axes_grid/axes_divider.py
deleted file mode 100644
index 9575c796c5cd..000000000000
--- a/lib/mpl_toolkits/axes_grid/axes_divider.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axes_grid1.axes_divider import Divider, AxesLocator, SubplotDivider, \
-     AxesDivider, locatable_axes_factory, make_axes_locatable
-
-from mpl_toolkits.axes_grid.axislines import Axes
-LocatableAxes = locatable_axes_factory(Axes)
diff --git a/lib/mpl_toolkits/axes_grid/axes_grid.py b/lib/mpl_toolkits/axes_grid/axes_grid.py
deleted file mode 100644
index 5f61652c5f96..000000000000
--- a/lib/mpl_toolkits/axes_grid/axes_grid.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import mpl_toolkits.axes_grid1.axes_grid as axes_grid_orig
-from .axes_divider import LocatableAxes
-
-class CbarAxes(axes_grid_orig.CbarAxesBase, LocatableAxes):
-    def __init__(self, *kl, **kwargs):
-        orientation=kwargs.pop("orientation", None)
-        if orientation is None:
-            raise ValueError("orientation must be specified")
-        self.orientation = orientation
-        self._default_label_on = False
-        self.locator = None
-
-        super(LocatableAxes, self).__init__(*kl, **kwargs)
-
-    def cla(self):
-        super(LocatableAxes, self).cla()
-        self._config_axes()
-
-
-class Grid(axes_grid_orig.Grid):
-    _defaultLocatableAxesClass = LocatableAxes
-
-class ImageGrid(axes_grid_orig.ImageGrid):
-    _defaultLocatableAxesClass = LocatableAxes
-    _defaultCbarAxesClass = CbarAxes
-
-AxesGrid = ImageGrid
diff --git a/lib/mpl_toolkits/axes_grid/axes_rgb.py b/lib/mpl_toolkits/axes_grid/axes_rgb.py
deleted file mode 100644
index 969dc3e466cc..000000000000
--- a/lib/mpl_toolkits/axes_grid/axes_rgb.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-#from mpl_toolkits.axes_grid1.axes_rgb import *
-from mpl_toolkits.axes_grid1.axes_rgb import make_rgb_axes, imshow_rgb, RGBAxesBase
-
-#import mpl_toolkits.axes_grid1.axes_rgb as axes_rgb_orig
-from .axislines import Axes
-
-class RGBAxes(RGBAxesBase):
-    _defaultAxesClass = Axes
diff --git a/lib/mpl_toolkits/axes_grid/axes_size.py b/lib/mpl_toolkits/axes_grid/axes_size.py
deleted file mode 100644
index 9b0c1729f6cf..000000000000
--- a/lib/mpl_toolkits/axes_grid/axes_size.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axes_grid1.axes_size import *
diff --git a/lib/mpl_toolkits/axes_grid/axis_artist.py b/lib/mpl_toolkits/axes_grid/axis_artist.py
deleted file mode 100644
index 6f829db66a72..000000000000
--- a/lib/mpl_toolkits/axes_grid/axis_artist.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.axis_artist import *
diff --git a/lib/mpl_toolkits/axes_grid/axisline_style.py b/lib/mpl_toolkits/axes_grid/axisline_style.py
deleted file mode 100644
index 4bc8f7440c40..000000000000
--- a/lib/mpl_toolkits/axes_grid/axisline_style.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.axisline_style import *
diff --git a/lib/mpl_toolkits/axes_grid/axislines.py b/lib/mpl_toolkits/axes_grid/axislines.py
deleted file mode 100644
index db1619bf3aac..000000000000
--- a/lib/mpl_toolkits/axes_grid/axislines.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.axislines import *
diff --git a/lib/mpl_toolkits/axes_grid/clip_path.py b/lib/mpl_toolkits/axes_grid/clip_path.py
deleted file mode 100644
index 7ef59481105c..000000000000
--- a/lib/mpl_toolkits/axes_grid/clip_path.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.clip_path import *
diff --git a/lib/mpl_toolkits/axes_grid/colorbar.py b/lib/mpl_toolkits/axes_grid/colorbar.py
deleted file mode 100644
index c2f16410c2f5..000000000000
--- a/lib/mpl_toolkits/axes_grid/colorbar.py
+++ /dev/null
@@ -1,834 +0,0 @@
-'''
-Colorbar toolkit with two classes and a function:
-
-    :class:`ColorbarBase`
-        the base class with full colorbar drawing functionality.
-        It can be used as-is to make a colorbar for a given colormap;
-        a mappable object (e.g., image) is not needed.
-
-    :class:`Colorbar`
-        the derived class for use with images or contour plots.
-
-    :func:`make_axes`
-        a function for resizing an axes and adding a second axes
-        suitable for a colorbar
-
-The :meth:`~matplotlib.figure.Figure.colorbar` method uses :func:`make_axes`
-and :class:`Colorbar`; the :func:`~matplotlib.pyplot.colorbar` function
-is a thin wrapper over :meth:`~matplotlib.figure.Figure.colorbar`.
-
-'''
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import numpy as np
-import matplotlib as mpl
-import matplotlib.colors as colors
-import matplotlib.cm as cm
-from matplotlib import docstring
-import matplotlib.ticker as ticker
-import matplotlib.cbook as cbook
-import matplotlib.collections as collections
-import matplotlib.contour as contour
-from matplotlib.path import Path
-from matplotlib.patches import PathPatch
-from matplotlib.transforms import Bbox
-
-
-make_axes_kw_doc = '''
-
-    ============= ====================================================
-    Property      Description
-    ============= ====================================================
-    *orientation* vertical or horizontal
-    *fraction*    0.15; fraction of original axes to use for colorbar
-    *pad*         0.05 if vertical, 0.15 if horizontal; fraction
-                  of original axes between colorbar and new image axes
-    *shrink*      1.0; fraction by which to shrink the colorbar
-    *aspect*      20; ratio of long to short dimensions
-    ============= ====================================================
-
-'''
-
-colormap_kw_doc = '''
-
-    ===========   ====================================================
-    Property      Description
-    ===========   ====================================================
-    *extend*      [ 'neither' | 'both' | 'min' | 'max' ]
-                  If not 'neither', make pointed end(s) for out-of-
-                  range values.  These are set for a given colormap
-                  using the colormap set_under and set_over methods.
-    *spacing*     [ 'uniform' | 'proportional' ]
-                  Uniform spacing gives each discrete color the same
-                  space; proportional makes the space proportional to
-                  the data interval.
-    *ticks*       [ None | list of ticks | Locator object ]
-                  If None, ticks are determined automatically from the
-                  input.
-    *format*      [ None | format string | Formatter object ]
-                  If None, the
-                  :class:`~matplotlib.ticker.ScalarFormatter` is used.
-                  If a format string is given, e.g., '%.3f', that is
-                  used. An alternative
-                  :class:`~matplotlib.ticker.Formatter` object may be
-                  given instead.
-    *drawedges*   [ False | True ] If true, draw lines at color
-                  boundaries.
-    ===========   ====================================================
-
-    The following will probably be useful only in the context of
-    indexed colors (that is, when the mappable has norm=NoNorm()),
-    or other unusual circumstances.
-
-    ============   ===================================================
-    Property       Description
-    ============   ===================================================
-    *boundaries*   None or a sequence
-    *values*       None or a sequence which must be of length 1 less
-                   than the sequence of *boundaries*. For each region
-                   delimited by adjacent entries in *boundaries*, the
-                   color mapped to the corresponding value in values
-                   will be used.
-    ============   ===================================================
-
-'''
-
-colorbar_doc = '''
-
-Add a colorbar to a plot.
-
-Function signatures for the :mod:`~matplotlib.pyplot` interface; all
-but the first are also method signatures for the
-:meth:`~matplotlib.figure.Figure.colorbar` method::
-
-  colorbar(**kwargs)
-  colorbar(mappable, **kwargs)
-  colorbar(mappable, cax=cax, **kwargs)
-  colorbar(mappable, ax=ax, **kwargs)
-
-arguments:
-
-  *mappable*
-    the :class:`~matplotlib.image.Image`,
-    :class:`~matplotlib.contour.ContourSet`, etc. to
-    which the colorbar applies; this argument is mandatory for the
-    :meth:`~matplotlib.figure.Figure.colorbar` method but optional for the
-    :func:`~matplotlib.pyplot.colorbar` function, which sets the
-    default to the current image.
-
-keyword arguments:
-
-  *cax*
-    None | axes object into which the colorbar will be drawn
-  *ax*
-    None | parent axes object from which space for a new
-    colorbar axes will be stolen
-
-
-Additional keyword arguments are of two kinds:
-
-  axes properties:
-%s
-  colorbar properties:
-%s
-
-If *mappable* is a :class:`~matplotlib.contours.ContourSet`, its *extend*
-kwarg is included automatically.
-
-Note that the *shrink* kwarg provides a simple way to keep a vertical
-colorbar, for example, from being taller than the axes of the mappable
-to which the colorbar is attached; but it is a manual method requiring
-some trial and error. If the colorbar is too tall (or a horizontal
-colorbar is too wide) use a smaller value of *shrink*.
-
-For more precise control, you can manually specify the positions of
-the axes objects in which the mappable and the colorbar are drawn.  In
-this case, do not use any of the axes properties kwargs.
-
-It is known that some vector graphics viewer (svg and pdf) renders white gaps
-between segments of the colorbar. This is due to bugs in the viewers not
-matplotlib. As a workaround the colorbar can be rendered with overlapping
-segments::
-
-    cbar = colorbar()
-    cbar.solids.set_edgecolor("face")
-    draw()
-
-However this has negative consequences in other circumstances. Particularly with
-semi transparent images (alpha < 1) and colorbar extensions and is not enabled
-by default see (issue #1188).
-
-returns:
-    :class:`~matplotlib.colorbar.Colorbar` instance; see also its base class,
-    :class:`~matplotlib.colorbar.ColorbarBase`.  Call the
-    :meth:`~matplotlib.colorbar.ColorbarBase.set_label` method
-    to label the colorbar.
-
-
-The transData of the *cax* is adjusted so that the limits in the
-longest axis actually corresponds to the limits in colorbar range. On
-the other hand, the shortest axis has a data limits of [1,2], whose
-unconventional value is to prevent underflow when log scale is used.
-''' % (make_axes_kw_doc, colormap_kw_doc)
-
-docstring.interpd.update(colorbar_doc=colorbar_doc)
-
-
-class CbarAxesLocator(object):
-    """
-    CbarAxesLocator is a axes_locator for colorbar axes. It adjust the
-    position of the axes to make a room for extended ends, i.e., the
-    extended ends are located outside the axes area.
-    """
-
-    def __init__(self, locator=None, extend="neither", orientation="vertical"):
-        """
-        *locator* : the bbox returned from the locator is used as a
-            initial axes location. If None, axes.bbox is used.
-
-        *extend* : same as in ColorbarBase
-        *orientation* : same as in ColorbarBase
-
-        """
-        self._locator = locator
-        self.extesion_fraction = 0.05
-        self.extend = extend
-        self.orientation = orientation
-
-    def get_original_position(self, axes, renderer):
-        """
-        get the original position of the axes.
-        """
-        if self._locator is None:
-            bbox = axes.get_position(original=True)
-        else:
-            bbox = self._locator(axes, renderer)
-        return bbox
-
-    def get_end_vertices(self):
-        """
-        return a tuple of two vertices for the colorbar extended ends.
-        The first vertices is for min. end, and the second is for
-        max. end.
-        """
-        # Note that concatenating two vertices needs to make a
-        # vertices for the frame.
-        extesion_fraction = self.extesion_fraction
-
-        corx = extesion_fraction*2.
-        cory = 1./(1. - corx)
-        x1, y1, w, h = 0, 0, 1, 1
-        x2, y2 = x1 + w, y1 + h
-        dw, dh = w*extesion_fraction, h*extesion_fraction*cory
-
-        if self.extend in ["min", "both"]:
-            bottom = [(x1, y1),
-                      (x1+w/2., y1-dh),
-                      (x2, y1)]
-        else:
-            bottom = [(x1, y1),
-                      (x2, y1)]
-
-        if self.extend in ["max", "both"]:
-            top = [(x2, y2),
-                   (x1+w/2., y2+dh),
-                   (x1, y2)]
-        else:
-            top = [(x2, y2),
-                   (x1, y2)]
-
-        if self.orientation == "horizontal":
-            bottom = [(y,x) for (x,y) in bottom]
-            top = [(y,x) for (x,y) in top]
-
-        return bottom, top
-
-
-    def get_path_patch(self):
-        """
-        get the path for axes patch
-        """
-        end1, end2 = self.get_end_vertices()
-
-        verts = [] + end1 + end2 + end1[:1]
-
-        return Path(verts)
-
-
-    def get_path_ends(self):
-        """
-        get the paths for extended ends
-        """
-
-        end1, end2 = self.get_end_vertices()
-
-        return Path(end1), Path(end2)
-
-
-    def __call__(self, axes, renderer):
-        """
-        Return the adjusted position of the axes
-        """
-        bbox0 = self.get_original_position(axes, renderer)
-        bbox = bbox0
-
-        x1, y1, w, h = bbox.bounds
-        extesion_fraction = self.extesion_fraction
-        dw, dh = w*extesion_fraction, h*extesion_fraction
-
-        if self.extend in ["min", "both"]:
-            if self.orientation == "horizontal":
-                x1 = x1 + dw
-            else:
-                y1 = y1+dh
-
-        if self.extend in ["max", "both"]:
-            if self.orientation == "horizontal":
-                w = w-2*dw
-            else:
-                h = h-2*dh
-
-        return Bbox.from_bounds(x1, y1, w, h)
-
-
-
-class ColorbarBase(cm.ScalarMappable):
-    '''
-    Draw a colorbar in an existing axes.
-
-    This is a base class for the :class:`Colorbar` class, which is the
-    basis for the :func:`~matplotlib.pyplot.colorbar` method and pylab
-    function.
-
-    It is also useful by itself for showing a colormap.  If the *cmap*
-    kwarg is given but *boundaries* and *values* are left as None,
-    then the colormap will be displayed on a 0-1 scale. To show the
-    under- and over-value colors, specify the *norm* as::
-
-        colors.Normalize(clip=False)
-
-    To show the colors versus index instead of on the 0-1 scale,
-    use::
-
-        norm=colors.NoNorm.
-
-    Useful attributes:
-
-        :attr:`ax`
-            the Axes instance in which the colorbar is drawn
-
-        :attr:`lines`
-            a LineCollection if lines were drawn, otherwise None
-
-        :attr:`dividers`
-            a LineCollection if *drawedges* is True, otherwise None
-
-    Useful public methods are :meth:`set_label` and :meth:`add_lines`.
-
-    '''
-
-    def __init__(self, ax, cmap=None,
-                           norm=None,
-                           alpha=1.0,
-                           values=None,
-                           boundaries=None,
-                           orientation='vertical',
-                           extend='neither',
-                           spacing='uniform',  # uniform or proportional
-                           ticks=None,
-                           format=None,
-                           drawedges=False,
-                           filled=True,
-                           ):
-        self.ax = ax
-
-        if cmap is None: cmap = cm.get_cmap()
-        if norm is None: norm = colors.Normalize()
-        self.alpha = alpha
-        cm.ScalarMappable.__init__(self, cmap=cmap, norm=norm)
-        self.values = values
-        self.boundaries = boundaries
-        self.extend = extend
-        self.spacing = spacing
-        self.orientation = orientation
-        self.drawedges = drawedges
-        self.filled = filled
-
-        # artists
-        self.solids = None
-        self.lines = None
-        self.dividers = None
-        self.extension_patch1 = None
-        self.extension_patch2 = None
-
-        if orientation == "vertical":
-            self.cbar_axis = self.ax.yaxis
-        else:
-            self.cbar_axis = self.ax.xaxis
-
-
-        if format is None:
-            if isinstance(self.norm, colors.LogNorm):
-                # change both axis for proper aspect
-                self.ax.xaxis.set_scale("log")
-                self.ax.yaxis.set_scale("log")
-                self.ax._update_transScale()
-                self.cbar_axis.set_minor_locator(ticker.NullLocator())
-                formatter = ticker.LogFormatter()
-            else:
-                formatter = None
-        elif cbook.is_string_like(format):
-            formatter = ticker.FormatStrFormatter(format)
-        else:
-            formatter = format  # Assume it is a Formatter
-
-        if formatter is None:
-            formatter = self.cbar_axis.get_major_formatter()
-        else:
-            self.cbar_axis.set_major_formatter(formatter)
-
-        if cbook.iterable(ticks):
-            self.cbar_axis.set_ticks(ticks)
-        elif ticks is not None:
-            self.cbar_axis.set_major_locator(ticks)
-        else:
-            self._select_locator(formatter)
-
-
-        self._config_axes()
-
-        self.update_artists()
-
-        self.set_label_text('')
-
-
-    def _get_colorbar_limits(self):
-        """
-        initial limits for colorbar range. The returned min, max values
-        will be used to create colorbar solid(?) and etc.
-        """
-        if self.boundaries is not None:
-            C = self.boundaries
-            if self.extend in ["min", "both"]:
-                C = C[1:]
-
-            if self.extend in ["max", "both"]:
-                C = C[:-1]
-            return min(C), max(C)
-        else:
-            return self.get_clim()
-
-
-    def _config_axes(self):
-        '''
-        Adjust the properties of the axes to be adequate for colorbar display.
-        '''
-        ax = self.ax
-
-        axes_locator = CbarAxesLocator(ax.get_axes_locator(),
-                                       extend=self.extend,
-                                       orientation=self.orientation)
-        ax.set_axes_locator(axes_locator)
-
-        # override the get_data_ratio for the aspect works.
-        def _f():
-            return 1.
-        ax.get_data_ratio = _f
-        ax.get_data_ratio_log = _f
-
-        ax.set_frame_on(True)
-        ax.set_navigate(False)
-
-        self.ax.set_autoscalex_on(False)
-        self.ax.set_autoscaley_on(False)
-
-        if self.orientation == 'horizontal':
-            ax.xaxis.set_label_position('bottom')
-            ax.set_yticks([])
-        else:
-            ax.set_xticks([])
-            ax.yaxis.set_label_position('right')
-            ax.yaxis.set_ticks_position('right')
-
-
-
-    def update_artists(self):
-        """
-        Update the colorbar associated artists, *filled* and
-        *ends*. Note that *lines* are not updated.  This needs to be
-        called whenever clim of associated image changes.
-        """
-        self._process_values()
-        self._add_ends()
-
-        X, Y = self._mesh()
-        if self.filled:
-            C = self._values[:,np.newaxis]
-            self._add_solids(X, Y, C)
-
-        ax = self.ax
-        vmin, vmax = self._get_colorbar_limits()
-        if self.orientation == 'horizontal':
-            ax.set_ylim(1, 2)
-            ax.set_xlim(vmin, vmax)
-        else:
-            ax.set_xlim(1, 2)
-            ax.set_ylim(vmin, vmax)
-
-
-    def _add_ends(self):
-        """
-        Create patches from extended ends and add them to the axes.
-        """
-
-        del self.extension_patch1
-        del self.extension_patch2
-
-        path1, path2 = self.ax.get_axes_locator().get_path_ends()
-        fc=mpl.rcParams['axes.facecolor']
-        ec=mpl.rcParams['axes.edgecolor']
-        linewidths=0.5*mpl.rcParams['axes.linewidth']
-        self.extension_patch1 = PathPatch(path1,
-                                          fc=fc, ec=ec, lw=linewidths,
-                                          zorder=2.,
-                                          transform=self.ax.transAxes,
-                                          clip_on=False)
-        self.extension_patch2 = PathPatch(path2,
-                                          fc=fc, ec=ec, lw=linewidths,
-                                          zorder=2.,
-                                          transform=self.ax.transAxes,
-                                          clip_on=False)
-        self.ax.add_artist(self.extension_patch1)
-        self.ax.add_artist(self.extension_patch2)
-
-
-
-    def _set_label_text(self):
-        """
-        set label.
-        """
-        self.cbar_axis.set_label_text(self._label, **self._labelkw)
-
-    def set_label_text(self, label, **kw):
-        '''
-        Label the long axis of the colorbar
-        '''
-        self._label = label
-        self._labelkw = kw
-        self._set_label_text()
-
-
-    def _edges(self, X, Y):
-        '''
-        Return the separator line segments; helper for _add_solids.
-        '''
-        N = X.shape[0]
-        # Using the non-array form of these line segments is much
-        # simpler than making them into arrays.
-        if self.orientation == 'vertical':
-            return [list(zip(X[i], Y[i])) for i in xrange(1, N-1)]
-        else:
-            return [list(zip(Y[i], X[i])) for i in xrange(1, N-1)]
-
-    def _add_solids(self, X, Y, C):
-        '''
-        Draw the colors using :meth:`~matplotlib.axes.Axes.pcolor`;
-        optionally add separators.
-        '''
-        ## Change to pcolorfast after fixing bugs in some backends...
-
-        if self.extend in ["min", "both"]:
-            cc = self.to_rgba([C[0][0]])
-            self.extension_patch1.set_fc(cc[0])
-            X, Y, C = X[1:], Y[1:], C[1:]
-
-        if self.extend in ["max", "both"]:
-            cc = self.to_rgba([C[-1][0]])
-            self.extension_patch2.set_fc(cc[0])
-            X, Y, C = X[:-1], Y[:-1], C[:-1]
-
-        if self.orientation == 'vertical':
-            args = (X, Y, C)
-        else:
-            args = (np.transpose(Y), np.transpose(X), np.transpose(C))
-        kw = {'cmap':self.cmap, 'norm':self.norm,
-              'shading':'flat', 'alpha':self.alpha,
-              }
-
-        del self.solids
-        del self.dividers
-
-        col = self.ax.pcolor(*args, **kw)
-        self.solids = col
-        if self.drawedges:
-            self.dividers = collections.LineCollection(self._edges(X,Y),
-                              colors=(mpl.rcParams['axes.edgecolor'],),
-                              linewidths=(0.5*mpl.rcParams['axes.linewidth'],),
-                              )
-            self.ax.add_collection(self.dividers)
-        else:
-            self.dividers = None
-
-    def add_lines(self, levels, colors, linewidths):
-        '''
-        Draw lines on the colorbar. It deletes preexisting lines.
-        '''
-        del self.lines
-
-        N = len(levels)
-        x = np.array([1.0, 2.0])
-        X, Y = np.meshgrid(x,levels)
-        if self.orientation == 'vertical':
-            xy = [list(zip(X[i], Y[i])) for i in xrange(N)]
-        else:
-            xy = [list(zip(Y[i], X[i])) for i in xrange(N)]
-        col = collections.LineCollection(xy, linewidths=linewidths,
-                                         )
-        self.lines = col
-        col.set_color(colors)
-        self.ax.add_collection(col)
-
-
-    def _select_locator(self, formatter):
-        '''
-        select a suitable locator
-        '''
-        if self.boundaries is None:
-            if isinstance(self.norm, colors.NoNorm):
-                nv = len(self._values)
-                base = 1 + int(nv/10)
-                locator = ticker.IndexLocator(base=base, offset=0)
-            elif isinstance(self.norm, colors.BoundaryNorm):
-                b = self.norm.boundaries
-                locator = ticker.FixedLocator(b, nbins=10)
-            elif isinstance(self.norm, colors.LogNorm):
-                locator = ticker.LogLocator()
-            else:
-                locator = ticker.MaxNLocator(nbins=5)
-        else:
-            b = self._boundaries[self._inside]
-            locator = ticker.FixedLocator(b) #, nbins=10)
-
-        self.cbar_axis.set_major_locator(locator)
-
-
-    def _process_values(self, b=None):
-        '''
-        Set the :attr:`_boundaries` and :attr:`_values` attributes
-        based on the input boundaries and values.  Input boundaries
-        can be *self.boundaries* or the argument *b*.
-        '''
-        if b is None:
-            b = self.boundaries
-        if b is not None:
-            self._boundaries = np.asarray(b, dtype=float)
-            if self.values is None:
-                self._values = 0.5*(self._boundaries[:-1]
-                                        + self._boundaries[1:])
-                if isinstance(self.norm, colors.NoNorm):
-                    self._values = (self._values + 0.00001).astype(np.int16)
-                return
-            self._values = np.array(self.values)
-            return
-        if self.values is not None:
-            self._values = np.array(self.values)
-            if self.boundaries is None:
-                b = np.zeros(len(self.values)+1, 'd')
-                b[1:-1] = 0.5*(self._values[:-1] - self._values[1:])
-                b[0] = 2.0*b[1] - b[2]
-                b[-1] = 2.0*b[-2] - b[-3]
-                self._boundaries = b
-                return
-            self._boundaries = np.array(self.boundaries)
-            return
-        # Neither boundaries nor values are specified;
-        # make reasonable ones based on cmap and norm.
-        if isinstance(self.norm, colors.NoNorm):
-            b = self._uniform_y(self.cmap.N+1) * self.cmap.N - 0.5
-            v = np.zeros((len(b)-1,), dtype=np.int16)
-            v = np.arange(self.cmap.N, dtype=np.int16)
-            self._boundaries = b
-            self._values = v
-            return
-        elif isinstance(self.norm, colors.BoundaryNorm):
-            b = np.array(self.norm.boundaries)
-            v = np.zeros((len(b)-1,), dtype=float)
-            bi = self.norm.boundaries
-            v = 0.5*(bi[:-1] + bi[1:])
-            self._boundaries = b
-            self._values = v
-            return
-        else:
-            b = self._uniform_y(self.cmap.N+1)
-
-        self._process_values(b)
-
-
-    def _uniform_y(self, N):
-        '''
-        Return colorbar data coordinates for *N* uniformly
-        spaced boundaries.
-        '''
-        vmin, vmax = self._get_colorbar_limits()
-        if isinstance(self.norm, colors.LogNorm):
-            y = np.logspace(np.log10(vmin), np.log10(vmax), N)
-        else:
-            y = np.linspace(vmin, vmax, N)
-        return y
-
-    def _mesh(self):
-        '''
-        Return X,Y, the coordinate arrays for the colorbar pcolormesh.
-        These are suitable for a vertical colorbar; swapping and
-        transposition for a horizontal colorbar are done outside
-        this function.
-        '''
-        x = np.array([1.0, 2.0])
-        if self.spacing == 'uniform':
-            y = self._uniform_y(len(self._boundaries))
-        else:
-            y = self._boundaries
-        self._y = y
-
-        X, Y = np.meshgrid(x,y)
-        return X, Y
-
-
-    def set_alpha(self, alpha):
-        """
-        set alpha value.
-        """
-        self.alpha = alpha
-
-
-class Colorbar(ColorbarBase):
-    def __init__(self, ax, mappable, **kw):
-        mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
-                             # are set when colorbar is called,
-                             # even if mappable.draw has not yet
-                             # been called.  This will not change
-                             # vmin, vmax if they are already set.
-        self.mappable = mappable
-        kw['cmap'] = mappable.cmap
-        kw['norm'] = mappable.norm
-        kw['alpha'] = mappable.get_alpha()
-        if isinstance(mappable, contour.ContourSet):
-            CS = mappable
-            kw['boundaries'] = CS._levels
-            kw['values'] = CS.cvalues
-            kw['extend'] = CS.extend
-            #kw['ticks'] = CS._levels
-            kw.setdefault('ticks', ticker.FixedLocator(CS.levels, nbins=10))
-            kw['filled'] = CS.filled
-            ColorbarBase.__init__(self, ax, **kw)
-            if not CS.filled:
-                self.add_lines(CS)
-        else:
-            ColorbarBase.__init__(self, ax, **kw)
-
-
-    def add_lines(self, CS):
-        '''
-        Add the lines from a non-filled
-        :class:`~matplotlib.contour.ContourSet` to the colorbar.
-        '''
-        if not isinstance(CS, contour.ContourSet) or CS.filled:
-            raise ValueError('add_lines is only for a ContourSet of lines')
-        tcolors = [c[0] for c in CS.tcolors]
-        tlinewidths = [t[0] for t in CS.tlinewidths]
-        # The following was an attempt to get the colorbar lines
-        # to follow subsequent changes in the contour lines,
-        # but more work is needed: specifically, a careful
-        # look at event sequences, and at how
-        # to make one object track another automatically.
-        #tcolors = [col.get_colors()[0] for col in CS.collections]
-        #tlinewidths = [col.get_linewidth()[0] for lw in CS.collections]
-        #print 'tlinewidths:', tlinewidths
-        ColorbarBase.add_lines(self, CS.levels, tcolors, tlinewidths)
-
-    def update_bruteforce(self, mappable):
-        """
-        Update the colorbar artists to reflect the change of the
-        associated mappable.
-        """
-        self.update_artists()
-
-        if isinstance(mappable, contour.ContourSet):
-            if not mappable.filled:
-                self.add_lines(mappable)
-
-@docstring.Substitution(make_axes_kw_doc)
-def make_axes(parent, **kw):
-    '''
-    Resize and reposition a parent axes, and return a child
-    axes suitable for a colorbar::
-
-        cax, kw = make_axes(parent, **kw)
-
-    Keyword arguments may include the following (with defaults):
-
-        *orientation*
-            'vertical'  or 'horizontal'
-
-    %s
-
-    All but the first of these are stripped from the input kw set.
-
-    Returns (cax, kw), the child axes and the reduced kw dictionary.
-    '''
-    orientation = kw.setdefault('orientation', 'vertical')
-    fraction = kw.pop('fraction', 0.15)
-    shrink = kw.pop('shrink', 1.0)
-    aspect = kw.pop('aspect', 20)
-    #pb = transforms.PBox(parent.get_position())
-    pb = parent.get_position(original=True).frozen()
-    if orientation == 'vertical':
-        pad = kw.pop('pad', 0.05)
-        x1 = 1.0-fraction
-        pb1, pbx, pbcb = pb.splitx(x1-pad, x1)
-        pbcb = pbcb.shrunk(1.0, shrink).anchored('C', pbcb)
-        anchor = (0.0, 0.5)
-        panchor = (1.0, 0.5)
-    else:
-        pad = kw.pop('pad', 0.15)
-        pbcb, pbx, pb1 = pb.splity(fraction, fraction+pad)
-        pbcb = pbcb.shrunk(shrink, 1.0).anchored('C', pbcb)
-        aspect = 1.0/aspect
-        anchor = (0.5, 1.0)
-        panchor = (0.5, 0.0)
-    parent.set_position(pb1)
-    parent.set_anchor(panchor)
-    fig = parent.get_figure()
-    cax = fig.add_axes(pbcb)
-    cax.set_aspect(aspect, anchor=anchor, adjustable='box')
-    return cax, kw
-
-
-def colorbar(mappable, cax=None, ax=None, **kw):
-    """
-    Create a colorbar for a ScalarMappable instance.
-
-    Documentation for the pylab thin wrapper:
-    %(colorbar_doc)s
-    """
-    import matplotlib.pyplot as plt
-    if ax is None:
-        ax = plt.gca()
-    if cax is None:
-        cax, kw = make_axes(ax, **kw)
-    cax.hold(True)
-    cb = Colorbar(cax, mappable, **kw)
-
-    def on_changed(m):
-        cb.set_cmap(m.get_cmap())
-        cb.set_clim(m.get_clim())
-        cb.update_bruteforce(m)
-
-    cbid = mappable.callbacksSM.connect('changed', on_changed)
-    mappable.colorbar = cb
-    ax.figure.sca(ax)
-    return cb
diff --git a/lib/mpl_toolkits/axes_grid/floating_axes.py b/lib/mpl_toolkits/axes_grid/floating_axes.py
deleted file mode 100644
index 171ed23fbfd5..000000000000
--- a/lib/mpl_toolkits/axes_grid/floating_axes.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.floating_axes import *
diff --git a/lib/mpl_toolkits/axes_grid/grid_finder.py b/lib/mpl_toolkits/axes_grid/grid_finder.py
deleted file mode 100644
index 5397f2caab50..000000000000
--- a/lib/mpl_toolkits/axes_grid/grid_finder.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.grid_finder import *
diff --git a/lib/mpl_toolkits/axes_grid/grid_helper_curvelinear.py b/lib/mpl_toolkits/axes_grid/grid_helper_curvelinear.py
deleted file mode 100644
index fa3a84cd6da1..000000000000
--- a/lib/mpl_toolkits/axes_grid/grid_helper_curvelinear.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axisartist.grid_helper_curvelinear import *
diff --git a/lib/mpl_toolkits/axes_grid/inset_locator.py b/lib/mpl_toolkits/axes_grid/inset_locator.py
deleted file mode 100644
index 4c94ccf5c02f..000000000000
--- a/lib/mpl_toolkits/axes_grid/inset_locator.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axes_grid1.inset_locator import InsetPosition, \
-     AnchoredSizeLocator, \
-     AnchoredZoomLocator, BboxPatch, BboxConnector, BboxConnectorPatch, \
-     inset_axes, zoomed_inset_axes, mark_inset
diff --git a/lib/mpl_toolkits/axes_grid/parasite_axes.py b/lib/mpl_toolkits/axes_grid/parasite_axes.py
deleted file mode 100644
index f1b2cb877b4f..000000000000
--- a/lib/mpl_toolkits/axes_grid/parasite_axes.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from mpl_toolkits.axes_grid1.parasite_axes import \
-     subplot_class_factory, \
-     parasite_axes_class_factory, parasite_axes_auxtrans_class_factory, \
-     host_axes_class_factory
-
-from .axislines import Axes
-
-
-ParasiteAxes = parasite_axes_class_factory(Axes)
-
-ParasiteAxesAuxTrans = parasite_axes_auxtrans_class_factory(axes_class=ParasiteAxes)
-
-HostAxes = host_axes_class_factory(axes_class=Axes)
-
-SubplotHost = subplot_class_factory(HostAxes)
diff --git a/lib/mpl_toolkits/axes_grid1/__init__.py b/lib/mpl_toolkits/axes_grid1/__init__.py
index 3e225ba9f0cd..c55302485e3f 100644
--- a/lib/mpl_toolkits/axes_grid1/__init__.py
+++ b/lib/mpl_toolkits/axes_grid1/__init__.py
@@ -1,12 +1,10 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 from . import axes_size as Size
-from .axes_divider import Divider, SubplotDivider, LocatableAxes, \
-     make_axes_locatable
-from .axes_grid import Grid, ImageGrid, AxesGrid
-#from axes_divider import make_axes_locatable
+from .axes_divider import Divider, SubplotDivider, make_axes_locatable
+from .axes_grid import AxesGrid, Grid, ImageGrid
 
 from .parasite_axes import host_subplot, host_axes
+
+__all__ = ["Size",
+           "Divider", "SubplotDivider", "make_axes_locatable",
+           "AxesGrid", "Grid", "ImageGrid",
+           "host_subplot", "host_axes"]
diff --git a/lib/mpl_toolkits/axes_grid1/anchored_artists.py b/lib/mpl_toolkits/axes_grid1/anchored_artists.py
index 1fa0effc4f74..a8be06800a07 100644
--- a/lib/mpl_toolkits/axes_grid1/anchored_artists.py
+++ b/lib/mpl_toolkits/axes_grid1/anchored_artists.py
@@ -1,117 +1,203 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from matplotlib import transforms
+from matplotlib.offsetbox import (AnchoredOffsetbox, AuxTransformBox,
+                                  DrawingArea, TextArea, VPacker)
+from matplotlib.patches import (Rectangle, ArrowStyle,
+                                FancyArrowPatch, PathPatch)
+from matplotlib.text import TextPath
 
-import six
-
-from matplotlib.patches import Rectangle, Ellipse
-
-import numpy as np
-
-from matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox, VPacker,\
-     TextArea, AnchoredText, DrawingArea, AnnotationBbox
+__all__ = ['AnchoredDrawingArea', 'AnchoredAuxTransformBox',
+           'AnchoredSizeBar', 'AnchoredDirectionArrows']
 
 
 class AnchoredDrawingArea(AnchoredOffsetbox):
-    """
-    AnchoredOffsetbox with DrawingArea
-    """
-
     def __init__(self, width, height, xdescent, ydescent,
                  loc, pad=0.4, borderpad=0.5, prop=None, frameon=True,
                  **kwargs):
         """
-        *width*, *height*, *xdescent*, *ydescent* : the dimensions of the DrawingArea.
-        *prop* : font property. This is only used for scaling the paddings.
+        An anchored container with a fixed size and fillable `.DrawingArea`.
+
+        Artists added to the *drawing_area* will have their coordinates
+        interpreted as pixels. Any transformations set on the artists will be
+        overridden.
+
+        Parameters
+        ----------
+        width, height : float
+            Width and height of the container, in pixels.
+        xdescent, ydescent : float
+            Descent of the container in the x- and y- direction, in pixels.
+        loc : str
+            Location of this artist.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.4
+            Padding around the child objects, in fraction of the font size.
+        borderpad : float, default: 0.5
+            Border padding, in fraction of the font size.
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property used as a reference for paddings.
+        frameon : bool, default: True
+            If True, draw a box around this artist.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        drawing_area : `~matplotlib.offsetbox.DrawingArea`
+            A container for artists to display.
+
+        Examples
+        --------
+        To display blue and red circles of different sizes in the upper right
+        of an Axes *ax*:
+
+        >>> ada = AnchoredDrawingArea(20, 20, 0, 0,
+        ...                           loc='upper right', frameon=False)
+        >>> ada.drawing_area.add_artist(Circle((10, 10), 10, fc="b"))
+        >>> ada.drawing_area.add_artist(Circle((30, 10), 5, fc="r"))
+        >>> ax.add_artist(ada)
         """
-
-        self.da = DrawingArea(width, height, xdescent, ydescent, clip=True)
+        self.da = DrawingArea(width, height, xdescent, ydescent)
         self.drawing_area = self.da
 
-        super(AnchoredDrawingArea, self).__init__(loc, pad=pad, borderpad=borderpad,
-                                                  child=self.da,
-                                                  prop=None,
-                                                  frameon=frameon,
-                                                  **kwargs)
+        super().__init__(
+            loc, pad=pad, borderpad=borderpad, child=self.da, prop=None,
+            frameon=frameon, **kwargs
+        )
 
 
 class AnchoredAuxTransformBox(AnchoredOffsetbox):
     def __init__(self, transform, loc,
                  pad=0.4, borderpad=0.5, prop=None, frameon=True, **kwargs):
-
-        self.drawing_area = AuxTransformBox(transform)
-
-        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
-                                   child=self.drawing_area,
-                                   prop=prop,
-                                   frameon=frameon,
-                                   **kwargs)
-
-
-
-class AnchoredEllipse(AnchoredOffsetbox):
-    def __init__(self, transform, width, height, angle, loc,
-                 pad=0.1, borderpad=0.1, prop=None, frameon=True, **kwargs):
         """
-        Draw an ellipse the size in data coordinate of the give axes.
+        An anchored container with transformed coordinates.
+
+        Artists added to the *drawing_area* are scaled according to the
+        coordinates of the transformation used. The dimensions of this artist
+        will scale to contain the artists added.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`!matplotlib.axes.Axes.transData`.
+        loc : str
+            Location of this artist.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.4
+            Padding around the child objects, in fraction of the font size.
+        borderpad : float, default: 0.5
+            Border padding, in fraction of the font size.
+        prop : `~matplotlib.font_manager.FontProperties`, optional
+            Font property used as a reference for paddings.
+        frameon : bool, default: True
+            If True, draw a box around this artist.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        drawing_area : `~matplotlib.offsetbox.AuxTransformBox`
+            A container for artists to display.
+
+        Examples
+        --------
+        To display an ellipse in the upper left, with a width of 0.1 and
+        height of 0.4 in data coordinates:
 
-        pad, borderpad in fraction of the legend font size (or prop)
+        >>> box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
+        >>> el = Ellipse((0, 0), width=0.1, height=0.4, angle=30)
+        >>> box.drawing_area.add_artist(el)
+        >>> ax.add_artist(box)
         """
-        self._box = AuxTransformBox(transform)
-        self.ellipse = Ellipse((0,0), width, height, angle)
-        self._box.add_artist(self.ellipse)
+        self.drawing_area = AuxTransformBox(transform)
 
-        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
-                                   child=self._box,
-                                   prop=prop,
-                                   frameon=frameon, **kwargs)
+        super().__init__(loc, pad=pad, borderpad=borderpad,
+                         child=self.drawing_area, prop=prop, frameon=frameon,
+                         **kwargs)
 
 
 class AnchoredSizeBar(AnchoredOffsetbox):
     def __init__(self, transform, size, label, loc,
                  pad=0.1, borderpad=0.1, sep=2,
                  frameon=True, size_vertical=0, color='black',
-                 label_top=False, fontproperties=None,
+                 label_top=False, fontproperties=None, fill_bar=None,
                  **kwargs):
         """
-        Draw a horizontal bar with the size in data coordinate of the given axes.
-        A label will be drawn underneath (center-aligned).
-
-        Parameters:
-        -----------
-        transform : matplotlib transformation object
-        size : int or float
-          horizontal length of the size bar, given in data coordinates
+        Draw a horizontal scale bar with a center-aligned label underneath.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`!matplotlib.axes.Axes.transData`.
+        size : float
+            Horizontal length of the size bar, given in coordinates of
+            *transform*.
         label : str
-        loc : int
-        pad : int or float, optional
-          in fraction of the legend font size (or prop)
-        borderpad : int or float, optional
-          in fraction of the legend font size (or prop)
-        sep : int or float, optional
-          in points
-        frameon : bool, optional
-          if True, will draw a box around the horizontal bar and label
-        size_vertical : int or float, optional
-          vertical length of the size bar, given in data coordinates
-        color : str, optional
-          color for the size bar and label
-        label_top : bool, optional
-          if True, the label will be over the rectangle
-        fontproperties: a matplotlib.font_manager.FontProperties instance, optional
-          sets the font properties for the label text
-
-        Returns:
-        --------
-        AnchoredSizeBar object
-
-        Example:
+            Label to display.
+        loc : str
+            Location of the size bar.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        pad : float, default: 0.1
+            Padding around the label and size bar, in fraction of the font
+            size.
+        borderpad : float, default: 0.1
+            Border padding, in fraction of the font size.
+        sep : float, default: 2
+            Separation between the label and the size bar, in points.
+        frameon : bool, default: True
+            If True, draw a box around the horizontal bar and label.
+        size_vertical : float, default: 0
+            Vertical length of the size bar, given in coordinates of
+            *transform*.
+        color : str, default: 'black'
+            Color for the size bar and label.
+        label_top : bool, default: False
+            If True, the label will be over the size bar.
+        fontproperties : `~matplotlib.font_manager.FontProperties`, optional
+            Font properties for the label text.
+        fill_bar : bool, optional
+            If True and if *size_vertical* is nonzero, the size bar will
+            be filled in with the color specified by the size bar.
+            Defaults to True if *size_vertical* is greater than
+            zero and False otherwise.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        size_bar : `~matplotlib.offsetbox.AuxTransformBox`
+            Container for the size bar.
+        txt_label : `~matplotlib.offsetbox.TextArea`
+            Container for the label of the size bar.
+
+        Notes
+        -----
+        If *prop* is passed as a keyword argument, but *fontproperties* is
+        not, then *prop* is assumed to be the intended *fontproperties*.
+        Using both *prop* and *fontproperties* is not supported.
+
+        Examples
         --------
         >>> import matplotlib.pyplot as plt
         >>> import numpy as np
-        >>> from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
+        >>> from mpl_toolkits.axes_grid1.anchored_artists import (
+        ...     AnchoredSizeBar)
         >>> fig, ax = plt.subplots()
-        >>> ax.imshow(np.random.random((10,10)))
-        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4)
+        >>> ax.imshow(np.random.random((10, 10)))
+        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 data units', 4)
         >>> ax.add_artist(bar)
         >>> fig.show()
 
@@ -119,18 +205,19 @@ def __init__(self, transform, size, label, loc,
 
         >>> import matplotlib.font_manager as fm
         >>> fontprops = fm.FontProperties(size=14, family='monospace')
-        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5, sep=5, borderpad=0.5, frameon=False, size_vertical=0.5, color='white', fontproperties=fontprops)  # noqa
-
+        >>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5,
+        ...                       sep=5, borderpad=0.5, frameon=False,
+        ...                       size_vertical=0.5, color='white',
+        ...                       fontproperties=fontprops)
         """
+        if fill_bar is None:
+            fill_bar = size_vertical > 0
 
         self.size_bar = AuxTransformBox(transform)
         self.size_bar.add_artist(Rectangle((0, 0), size, size_vertical,
-                                           fill=True, facecolor=color,
+                                           fill=fill_bar, facecolor=color,
                                            edgecolor=color))
 
-        # if fontproperties is None, but `prop` is not, assume that
-        # prop should be used to set the font properties. This is
-        # questionable behavior
         if fontproperties is None and 'prop' in kwargs:
             fontproperties = kwargs.pop('prop')
 
@@ -139,10 +226,7 @@ def __init__(self, transform, size, label, loc,
         else:
             textprops = {'color': color, 'fontproperties': fontproperties}
 
-        self.txt_label = TextArea(
-            label,
-            minimumdescent=False,
-            textprops=textprops)
+        self.txt_label = TextArea(label, textprops=textprops)
 
         if label_top:
             _box_children = [self.txt_label, self.size_bar]
@@ -153,77 +237,178 @@ def __init__(self, transform, size, label, loc,
                             align="center",
                             pad=0, sep=sep)
 
-        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
-                                   child=self._box,
-                                   prop=fontproperties,
-                                   frameon=frameon, **kwargs)
+        super().__init__(loc, pad=pad, borderpad=borderpad, child=self._box,
+                         prop=fontproperties, frameon=frameon, **kwargs)
 
 
-if __name__ == "__main__":
+class AnchoredDirectionArrows(AnchoredOffsetbox):
+    def __init__(self, transform, label_x, label_y, length=0.15,
+                 fontsize=0.08, loc='upper left', angle=0, aspect_ratio=1,
+                 pad=0.4, borderpad=0.4, frameon=False, color='w', alpha=1,
+                 sep_x=0.01, sep_y=0, fontproperties=None, back_length=0.15,
+                 head_width=10, head_length=15, tail_width=2,
+                 text_props=None, arrow_props=None,
+                 **kwargs):
+        """
+        Draw two perpendicular arrows to indicate directions.
+
+        Parameters
+        ----------
+        transform : `~matplotlib.transforms.Transform`
+            The transformation object for the coordinate system in use, i.e.,
+            :attr:`!matplotlib.axes.Axes.transAxes`.
+        label_x, label_y : str
+            Label text for the x and y arrows
+        length : float, default: 0.15
+            Length of the arrow, given in coordinates of *transform*.
+        fontsize : float, default: 0.08
+            Size of label strings, given in coordinates of *transform*.
+        loc : str, default: 'upper left'
+            Location of the arrow.  Valid locations are
+            'upper left', 'upper center', 'upper right',
+            'center left', 'center', 'center right',
+            'lower left', 'lower center', 'lower right'.
+            For backward compatibility, numeric values are accepted as well.
+            See the parameter *loc* of `.Legend` for details.
+        angle : float, default: 0
+            The angle of the arrows in degrees.
+        aspect_ratio : float, default: 1
+            The ratio of the length of arrow_x and arrow_y.
+            Negative numbers can be used to change the direction.
+        pad : float, default: 0.4
+            Padding around the labels and arrows, in fraction of the font size.
+        borderpad : float, default: 0.4
+            Border padding, in fraction of the font size.
+        frameon : bool, default: False
+            If True, draw a box around the arrows and labels.
+        color : str, default: 'white'
+            Color for the arrows and labels.
+        alpha : float, default: 1
+            Alpha values of the arrows and labels
+        sep_x, sep_y : float, default: 0.01 and 0 respectively
+            Separation between the arrows and labels in coordinates of
+            *transform*.
+        fontproperties : `~matplotlib.font_manager.FontProperties`, optional
+            Font properties for the label text.
+        back_length : float, default: 0.15
+            Fraction of the arrow behind the arrow crossing.
+        head_width : float, default: 10
+            Width of arrow head, sent to `.ArrowStyle`.
+        head_length : float, default: 15
+            Length of arrow head, sent to `.ArrowStyle`.
+        tail_width : float, default: 2
+            Width of arrow tail, sent to `.ArrowStyle`.
+        text_props, arrow_props : dict
+            Properties of the text and arrows, passed to `.TextPath` and
+            `.FancyArrowPatch`.
+        **kwargs
+            Keyword arguments forwarded to `.AnchoredOffsetbox`.
+
+        Attributes
+        ----------
+        arrow_x, arrow_y : `~matplotlib.patches.FancyArrowPatch`
+            Arrow x and y
+        text_path_x, text_path_y : `~matplotlib.text.TextPath`
+            Path for arrow labels
+        p_x, p_y : `~matplotlib.patches.PathPatch`
+            Patch for arrow labels
+        box : `~matplotlib.offsetbox.AuxTransformBox`
+            Container for the arrows and labels.
+
+        Notes
+        -----
+        If *prop* is passed as a keyword argument, but *fontproperties* is
+        not, then *prop* is assumed to be the intended *fontproperties*.
+        Using both *prop* and *fontproperties* is not supported.
+
+        Examples
+        --------
+        >>> import matplotlib.pyplot as plt
+        >>> import numpy as np
+        >>> from mpl_toolkits.axes_grid1.anchored_artists import (
+        ...     AnchoredDirectionArrows)
+        >>> fig, ax = plt.subplots()
+        >>> ax.imshow(np.random.random((10, 10)))
+        >>> arrows = AnchoredDirectionArrows(ax.transAxes, '111', '110')
+        >>> ax.add_artist(arrows)
+        >>> fig.show()
 
-    import matplotlib.pyplot as plt
+        Using several of the optional parameters, creating downward pointing
+        arrow and high contrast text labels.
 
-    fig = plt.gcf()
-    fig.clf()
-    ax = plt.subplot(111)
+        >>> import matplotlib.font_manager as fm
+        >>> fontprops = fm.FontProperties(family='monospace')
+        >>> arrows = AnchoredDirectionArrows(ax.transAxes, 'East', 'South',
+        ...                                  loc='lower left', color='k',
+        ...                                  aspect_ratio=-1, sep_x=0.02,
+        ...                                  sep_y=-0.01,
+        ...                                  text_props={'ec':'w', 'fc':'k'},
+        ...                                  fontproperties=fontprops)
+        """
+        if arrow_props is None:
+            arrow_props = {}
+
+        if text_props is None:
+            text_props = {}
+
+        arrowstyle = ArrowStyle("Simple",
+                                head_width=head_width,
+                                head_length=head_length,
+                                tail_width=tail_width)
+
+        if fontproperties is None and 'prop' in kwargs:
+            fontproperties = kwargs.pop('prop')
 
-    offsetbox = AnchoredText("Test", loc=6, pad=0.3,
-                             borderpad=0.3, prop=None)
-    xy = (0.5, 0.5)
-    ax.plot([0.5], [0.5], "xk")
-    ab = AnnotationBbox(offsetbox, xy,
-                        xybox=(1., .5),
-                        xycoords='data',
-                        boxcoords=("axes fraction", "data"),
-                        arrowprops=dict(arrowstyle="->"))
-                        #arrowprops=None)
+        if 'color' not in arrow_props:
+            arrow_props['color'] = color
 
-    ax.add_artist(ab)
+        if 'alpha' not in arrow_props:
+            arrow_props['alpha'] = alpha
 
+        if 'color' not in text_props:
+            text_props['color'] = color
 
-    from matplotlib.patches import Circle
-    ada = AnchoredDrawingArea(20, 20, 0, 0,
-                              loc=6, pad=0.1, borderpad=0.3, frameon=True)
-    p = Circle((10, 10), 10)
-    ada.da.add_artist(p)
+        if 'alpha' not in text_props:
+            text_props['alpha'] = alpha
 
-    ab = AnnotationBbox(ada, (0.3, 0.4),
-                        xybox=(1., 0.4),
-                        xycoords='data',
-                        boxcoords=("axes fraction", "data"),
-                        arrowprops=dict(arrowstyle="->"))
-                        #arrowprops=None)
+        t_start = transform
+        t_end = t_start + transforms.Affine2D().rotate_deg(angle)
 
-    ax.add_artist(ab)
+        self.box = AuxTransformBox(t_end)
 
+        length_x = length
+        length_y = length*aspect_ratio
 
-    arr = np.arange(100).reshape((10,10))
-    im = AnchoredImage(arr,
-                       loc=4,
-                       pad=0.5, borderpad=0.2, prop=None, frameon=True,
-                       zoom=1,
-                       cmap = None,
-                       norm = None,
-                       interpolation=None,
-                       origin=None,
-                       extent=None,
-                       filternorm=1,
-                       filterrad=4.0,
-                       resample = False,
-                       )
+        self.arrow_x = FancyArrowPatch(
+                (0, back_length*length_y),
+                (length_x, back_length*length_y),
+                arrowstyle=arrowstyle,
+                shrinkA=0.0,
+                shrinkB=0.0,
+                **arrow_props)
 
-    ab = AnnotationBbox(im, (0.5, 0.5),
-                        xybox=(-10., 10.),
-                        xycoords='data',
-                        boxcoords="offset points",
-                        arrowprops=dict(arrowstyle="->"))
-                        #arrowprops=None)
+        self.arrow_y = FancyArrowPatch(
+                (back_length*length_x, 0),
+                (back_length*length_x, length_y),
+                arrowstyle=arrowstyle,
+                shrinkA=0.0,
+                shrinkB=0.0,
+                **arrow_props)
 
-    ax.add_artist(ab)
+        self.box.add_artist(self.arrow_x)
+        self.box.add_artist(self.arrow_y)
 
-    ax.set_xlim(0, 1)
-    ax.set_ylim(0, 1)
+        text_path_x = TextPath((
+            length_x+sep_x, back_length*length_y+sep_y), label_x,
+            size=fontsize, prop=fontproperties)
+        self.p_x = PathPatch(text_path_x, transform=t_start, **text_props)
+        self.box.add_artist(self.p_x)
 
+        text_path_y = TextPath((
+            length_x*back_length+sep_x, length_y*(1-back_length)+sep_y),
+            label_y, size=fontsize, prop=fontproperties)
+        self.p_y = PathPatch(text_path_y, **text_props)
+        self.box.add_artist(self.p_y)
 
-    plt.draw()
-    plt.show()
+        super().__init__(loc, pad=pad, borderpad=borderpad, child=self.box,
+                         frameon=frameon, **kwargs)
diff --git a/lib/mpl_toolkits/axes_grid1/axes_divider.py b/lib/mpl_toolkits/axes_grid1/axes_divider.py
index 6b5ff38b7b70..50365f482b72 100644
--- a/lib/mpl_toolkits/axes_grid1/axes_divider.py
+++ b/lib/mpl_toolkits/axes_grid1/axes_divider.py
@@ -1,57 +1,48 @@
 """
-The axes_divider module provides helper classes to adjust the positions of
-multiple axes at drawing time.
-
- Divider: this is the class that is used to calculate the axes
-    position. It divides the given rectangular area into several sub
-    rectangles. You initialize the divider by setting the horizontal
-    and vertical lists of sizes that the division will be based on. You
-    then use the new_locator method, whose return value is a callable
-    object that can be used to set the axes_locator of the axes.
-
+Helper classes to adjust the positions of multiple axes at drawing time.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import map
-
-import matplotlib.transforms as mtransforms
+import functools
 
-from matplotlib.axes import SubplotBase
+import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _api
+from matplotlib.gridspec import SubplotSpec
+import matplotlib.transforms as mtransforms
 from . import axes_size as Size
 
 
-class Divider(object):
+class Divider:
     """
-    This is the class that is used calculates the axes position. It
-    divides the given rectangular area into several
-    sub-rectangles. You initialize the divider by setting the
-    horizontal and vertical lists of sizes
-    (:mod:`mpl_toolkits.axes_grid.axes_size`) that the division will
-    be based on. You then use the new_locator method to create a
-    callable object that can be used as the axes_locator of the
-    axes.
+    An Axes positioning class.
+
+    The divider is initialized with lists of horizontal and vertical sizes
+    (:mod:`mpl_toolkits.axes_grid1.axes_size`) based on which a given
+    rectangular area will be divided.
+
+    The `new_locator` method then creates a callable object
+    that can be used as the *axes_locator* of the axes.
     """
 
     def __init__(self, fig, pos, horizontal, vertical,
                  aspect=None, anchor="C"):
         """
-        :param fig: matplotlib figure
-        :param pos: position (tuple of 4 floats) of the rectangle that
-                    will be divided.
-        :param horizontal: list of sizes
-                    (:mod:`~mpl_toolkits.axes_grid.axes_size`)
-                    for horizontal division
-        :param vertical: list of sizes
-                    (:mod:`~mpl_toolkits.axes_grid.axes_size`)
-                    for vertical division
-        :param aspect: if True, the overall rectangular area is reduced
-                    so that the relative part of the horizontal and
-                    vertical scales have the same scale.
-        :param anchor: Determine how the reduced rectangle is placed
-                       when aspect is True.
+        Parameters
+        ----------
+        fig : Figure
+        pos : tuple of 4 floats
+            Position of the rectangle that will be divided.
+        horizontal : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            Sizes for horizontal division.
+        vertical : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            Sizes for vertical division.
+        aspect : bool, optional
+            Whether overall rectangular area is reduced so that the relative
+            part of the horizontal and vertical scales have the same scale.
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}, default: 'C'
+            Placement of the reduced rectangle, when *aspect* is True.
         """
 
         self._fig = fig
@@ -59,131 +50,96 @@ def __init__(self, fig, pos, horizontal, vertical,
         self._horizontal = horizontal
         self._vertical = vertical
         self._anchor = anchor
+        self.set_anchor(anchor)
         self._aspect = aspect
         self._xrefindex = 0
         self._yrefindex = 0
         self._locator = None
 
     def get_horizontal_sizes(self, renderer):
-        return [s.get_size(renderer) for s in self.get_horizontal()]
+        return np.array([s.get_size(renderer) for s in self.get_horizontal()])
 
     def get_vertical_sizes(self, renderer):
-        return [s.get_size(renderer) for s in self.get_vertical()]
-
-    def get_vsize_hsize(self):
-
-        from .axes_size import AddList
-
-        vsize = AddList(self.get_vertical())
-        hsize = AddList(self.get_horizontal())
-
-        return vsize, hsize
-
-    @staticmethod
-    def _calc_k(l, total_size):
-
-        rs_sum, as_sum = 0., 0.
-
-        for _rs, _as in l:
-            rs_sum += _rs
-            as_sum += _as
-
-        if rs_sum != 0.:
-            k = (total_size - as_sum) / rs_sum
-            return k
-        else:
-            return 0.
-
-    @staticmethod
-    def _calc_offsets(l, k):
-
-        offsets = [0.]
-
-        #for s in l:
-        for _rs, _as in l:
-            #_rs, _as = s.get_size(renderer)
-            offsets.append(offsets[-1] + _rs*k + _as)
-
-        return offsets
+        return np.array([s.get_size(renderer) for s in self.get_vertical()])
 
     def set_position(self, pos):
         """
-        set the position of the rectangle.
+        Set the position of the rectangle.
 
-        :param pos: position (tuple of 4 floats) of the rectangle that
-                    will be divided.
+        Parameters
+        ----------
+        pos : tuple of 4 floats
+            position of the rectangle that will be divided
         """
         self._pos = pos
 
     def get_position(self):
-        "return the position of the rectangle."
+        """Return the position of the rectangle."""
         return self._pos
 
     def set_anchor(self, anchor):
         """
-        :param anchor: anchor position
-
-          =====  ============
-          value  description
-          =====  ============
-          'C'    Center
-          'SW'   bottom left
-          'S'    bottom
-          'SE'   bottom right
-          'E'    right
-          'NE'   top right
-          'N'    top
-          'NW'   top left
-          'W'    left
-          =====  ============
-
-        """
-        if anchor in mtransforms.Bbox.coefs or len(anchor) == 2:
-            self._anchor = anchor
-        else:
-            raise ValueError('argument must be among %s' %
-                                ', '.join(mtransforms.BBox.coefs.keys()))
+        Parameters
+        ----------
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}
+            Either an (*x*, *y*) pair of relative coordinates (0 is left or
+            bottom, 1 is right or top), 'C' (center), or a cardinal direction
+            ('SW', southwest, is bottom left, etc.).
+
+        See Also
+        --------
+        .Axes.set_anchor
+        """
+        if isinstance(anchor, str):
+            _api.check_in_list(mtransforms.Bbox.coefs, anchor=anchor)
+        elif not isinstance(anchor, (tuple, list)) or len(anchor) != 2:
+            raise TypeError("anchor must be str or 2-tuple")
+        self._anchor = anchor
 
     def get_anchor(self):
-        "return the anchor"
+        """Return the anchor."""
         return self._anchor
 
+    def get_subplotspec(self):
+        return None
+
     def set_horizontal(self, h):
         """
-        :param horizontal: list of sizes
-                    (:mod:`~mpl_toolkits.axes_grid.axes_size`)
-                    for horizontal division
-
-        .
+        Parameters
+        ----------
+        h : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            sizes for horizontal division
         """
         self._horizontal = h
 
     def get_horizontal(self):
-        "return horizontal sizes"
+        """Return horizontal sizes."""
         return self._horizontal
 
     def set_vertical(self, v):
         """
-        :param horizontal: list of sizes
-                    (:mod:`~mpl_toolkits.axes_grid.axes_size`)
-                    for horizontal division
-
-        .
+        Parameters
+        ----------
+        v : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
+            sizes for vertical division
         """
         self._vertical = v
 
     def get_vertical(self):
-        "return vertical sizes"
+        """Return vertical sizes."""
         return self._vertical
 
     def set_aspect(self, aspect=False):
         """
-        :param anchor: True or False
+        Parameters
+        ----------
+        aspect : bool
         """
         self._aspect = aspect
 
     def get_aspect(self):
-        "return aspect"
+        """Return aspect."""
         return self._aspect
 
     def set_locator(self, _locator):
@@ -198,36 +154,82 @@ def get_position_runtime(self, ax, renderer):
         else:
             return self._locator(ax, renderer).bounds
 
-    def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
-        """
+    @staticmethod
+    def _calc_k(sizes, total):
+        # sizes is a (n, 2) array of (rel_size, abs_size); this method finds
+        # the k factor such that sum(rel_size * k + abs_size) == total.
+        rel_sum, abs_sum = sizes.sum(0)
+        return (total - abs_sum) / rel_sum if rel_sum else 0
 
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
+    @staticmethod
+    def _calc_offsets(sizes, k):
+        # Apply k factors to (n, 2) sizes array of (rel_size, abs_size); return
+        # the resulting cumulative offset positions.
+        return np.cumsum([0, *(sizes @ [k, 1])])
 
-        :param ny, ny1: same as nx and nx1, but for row positions.
+    def new_locator(self, nx, ny, nx1=None, ny1=None):
         """
+        Return an axes locator callable for the specified cell.
 
-        figW, figH = self._fig.get_size_inches()
+        Parameters
+        ----------
+        nx, nx1 : int
+            Integers specifying the column-position of the
+            cell. When *nx1* is None, a single *nx*-th column is
+            specified. Otherwise, location of columns spanning between *nx*
+            to *nx1* (but excluding *nx1*-th column) is specified.
+        ny, ny1 : int
+            Same as *nx* and *nx1*, but for row positions.
+        """
+        if nx1 is None:
+            nx1 = nx + 1
+        if ny1 is None:
+            ny1 = ny + 1
+        # append_size("left") adds a new size at the beginning of the
+        # horizontal size lists; this shift transforms e.g.
+        # new_locator(nx=2, ...) into effectively new_locator(nx=3, ...).  To
+        # take that into account, instead of recording nx, we record
+        # nx-self._xrefindex, where _xrefindex is shifted by 1 by each
+        # append_size("left"), and re-add self._xrefindex back to nx in
+        # _locate, when the actual axes position is computed.  Ditto for y.
+        xref = self._xrefindex
+        yref = self._yrefindex
+        locator = functools.partial(
+            self._locate, nx - xref, ny - yref, nx1 - xref, ny1 - yref)
+        locator.get_subplotspec = self.get_subplotspec
+        return locator
+
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        """
+        Implementation of ``divider.new_locator().__call__``.
+
+        The axes locator callable returned by ``new_locator()`` is created as
+        a `functools.partial` of this method with *nx*, *ny*, *nx1*, and *ny1*
+        specifying the requested cell.
+        """
+        nx += self._xrefindex
+        nx1 += self._xrefindex
+        ny += self._yrefindex
+        ny1 += self._yrefindex
+
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
         x, y, w, h = self.get_position_runtime(axes, renderer)
 
         hsizes = self.get_horizontal_sizes(renderer)
         vsizes = self.get_vertical_sizes(renderer)
-        k_h = self._calc_k(hsizes, figW*w)
-        k_v = self._calc_k(vsizes, figH*h)
+        k_h = self._calc_k(hsizes, fig_w * w)
+        k_v = self._calc_k(vsizes, fig_h * h)
 
         if self.get_aspect():
             k = min(k_h, k_v)
             ox = self._calc_offsets(hsizes, k)
             oy = self._calc_offsets(vsizes, k)
 
-            ww = (ox[-1] - ox[0])/figW
-            hh = (oy[-1] - oy[0])/figH
+            ww = (ox[-1] - ox[0]) / fig_w
+            hh = (oy[-1] - oy[0]) / fig_h
             pb = mtransforms.Bbox.from_bounds(x, y, w, h)
             pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
-            pb1_anchored = pb1.anchored(self.get_anchor(), pb)
-            x0, y0 = pb1_anchored.x0, pb1_anchored.y0
+            x0, y0 = pb1.anchored(self.get_anchor(), pb).p0
 
         else:
             ox = self._calc_offsets(hsizes, k_h)
@@ -235,32 +237,18 @@ def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
             x0, y0 = x, y
 
         if nx1 is None:
-            nx1 = nx+1
+            nx1 = -1
         if ny1 is None:
-            ny1 = ny+1
+            ny1 = -1
 
-        x1, w1 = x0 + ox[nx]/figW, (ox[nx1] - ox[nx])/figW
-        y1, h1 = y0 + oy[ny]/figH, (oy[ny1] - oy[ny])/figH
+        x1, w1 = x0 + ox[nx] / fig_w, (ox[nx1] - ox[nx]) / fig_w
+        y1, h1 = y0 + oy[ny] / fig_h, (oy[ny1] - oy[ny]) / fig_h
 
         return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
 
-    def new_locator(self, nx, ny, nx1=None, ny1=None):
-        """
-        returns a new locator
-        (:class:`mpl_toolkits.axes_grid.axes_divider.AxesLocator`) for
-        specified cell.
-
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
-        """
-        return AxesLocator(self, nx, ny, nx1, ny1)
-
     def append_size(self, position, size):
-
+        _api.check_in_list(["left", "right", "bottom", "top"],
+                           position=position)
         if position == "left":
             self._horizontal.insert(0, size)
             self._xrefindex += 1
@@ -269,77 +257,27 @@ def append_size(self, position, size):
         elif position == "bottom":
             self._vertical.insert(0, size)
             self._yrefindex += 1
-        elif position == "top":
+        else:  # 'top'
             self._vertical.append(size)
-        else:
-            raise ValueError("the position must be one of left," +
-                             " right, bottom, or top")
-
-    def add_auto_adjustable_area(self,
-                                 use_axes, pad=0.1,
-                                 adjust_dirs=None,
-                                 ):
-        if adjust_dirs is None:
-            adjust_dirs = ["left", "right", "bottom", "top"]
-        from .axes_size import Padded, SizeFromFunc, GetExtentHelper
-        for d in adjust_dirs:
-            helper = GetExtentHelper(use_axes, d)
-            size = SizeFromFunc(helper)
-            padded_size = Padded(size, pad)  # pad in inch
-            self.append_size(d, padded_size)
-
 
-class AxesLocator(object):
-    """
-    A simple callable object, initialized with AxesDivider class,
-    returns the position and size of the given cell.
-    """
-    def __init__(self, axes_divider, nx, ny, nx1=None, ny1=None):
+    def add_auto_adjustable_area(self, use_axes, pad=0.1, adjust_dirs=None):
         """
-        :param axes_divider: An instance of AxesDivider class.
-
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is is specified.
+        Add auto-adjustable padding around *use_axes* to take their decorations
+        (title, labels, ticks, ticklabels) into account during layout.
 
-        :param ny, ny1: same as nx and nx1, but for row positions.
+        Parameters
+        ----------
+        use_axes : `~matplotlib.axes.Axes` or list of `~matplotlib.axes.Axes`
+            The Axes whose decorations are taken into account.
+        pad : float, default: 0.1
+            Additional padding in inches.
+        adjust_dirs : list of {"left", "right", "bottom", "top"}, optional
+            The sides where padding is added; defaults to all four sides.
         """
-        self._axes_divider = axes_divider
-
-        _xrefindex = axes_divider._xrefindex
-        _yrefindex = axes_divider._yrefindex
-
-        self._nx, self._ny = nx - _xrefindex, ny - _yrefindex
-
-        if nx1 is None:
-            nx1 = nx+1
-        if ny1 is None:
-            ny1 = ny+1
-
-        self._nx1 = nx1 - _xrefindex
-        self._ny1 = ny1 - _yrefindex
-
-    def __call__(self, axes, renderer):
-
-        _xrefindex = self._axes_divider._xrefindex
-        _yrefindex = self._axes_divider._yrefindex
-
-        return self._axes_divider.locate(self._nx + _xrefindex,
-                                         self._ny + _yrefindex,
-                                         self._nx1 + _xrefindex,
-                                         self._ny1 + _yrefindex,
-                                         axes,
-                                         renderer)
-
-    def get_subplotspec(self):
-        if hasattr(self._axes_divider, "get_subplotspec"):
-            return self._axes_divider.get_subplotspec()
-        else:
-            return None
-
-
-from matplotlib.gridspec import SubplotSpec, GridSpec
+        if adjust_dirs is None:
+            adjust_dirs = ["left", "right", "bottom", "top"]
+        for d in adjust_dirs:
+            self.append_size(d, Size._AxesDecorationsSize(use_axes, d) + pad)
 
 
 class SubplotDivider(Divider):
@@ -347,145 +285,65 @@ class SubplotDivider(Divider):
     The Divider class whose rectangle area is specified as a subplot geometry.
     """
 
-    def __init__(self, fig, *args, **kwargs):
-        """
-        *fig* is a :class:`matplotlib.figure.Figure` instance.
-
-        *args* is the tuple (*numRows*, *numCols*, *plotNum*), where
-        the array of subplots in the figure has dimensions *numRows*,
-        *numCols*, and where *plotNum* is the number of the subplot
-        being created.  *plotNum* starts at 1 in the upper left
-        corner and increases to the right.
-
-        If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
-        decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
+    def __init__(self, fig, *args, horizontal=None, vertical=None,
+                 aspect=None, anchor='C'):
+        """
+        Parameters
+        ----------
+        fig : `~matplotlib.figure.Figure`
+
+        *args : tuple (*nrows*, *ncols*, *index*) or int
+            The array of subplots in the figure has dimensions ``(nrows,
+            ncols)``, and *index* is the index of the subplot being created.
+            *index* starts at 1 in the upper left corner and increases to the
+            right.
+
+            If *nrows*, *ncols*, and *index* are all single digit numbers, then
+            *args* can be passed as a single 3-digit number (e.g. 234 for
+            (2, 3, 4)).
+        horizontal : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`, optional
+            Sizes for horizontal division.
+        vertical : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`, optional
+            Sizes for vertical division.
+        aspect : bool, optional
+            Whether overall rectangular area is reduced so that the relative
+            part of the horizontal and vertical scales have the same scale.
+        anchor : (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', \
+'NW', 'W'}, default: 'C'
+            Placement of the reduced rectangle, when *aspect* is True.
         """
-
         self.figure = fig
-
-        if len(args) == 1:
-            if isinstance(args[0], SubplotSpec):
-                self._subplotspec = args[0]
-            else:
-                try:
-                    s = str(int(args[0]))
-                    rows, cols, num = list(map(int, s))
-                except ValueError:
-                    raise ValueError(
-                        'Single argument to subplot must be a 3-digit integer')
-                self._subplotspec = GridSpec(rows, cols)[num-1]
-                # num - 1 for converting from MATLAB to python indexing
-        elif len(args) == 3:
-            rows, cols, num = args
-            rows = int(rows)
-            cols = int(cols)
-            if isinstance(num, tuple) and len(num) == 2:
-                num = [int(n) for n in num]
-                self._subplotspec = GridSpec(rows, cols)[num[0]-1:num[1]]
-            else:
-                self._subplotspec = GridSpec(rows, cols)[int(num)-1]
-                # num - 1 for converting from MATLAB to python indexing
-        else:
-            raise ValueError('Illegal argument(s) to subplot: %s' % (args,))
-
-        # total = rows*cols
-        # num -= 1    # convert from matlab to python indexing
-        #             # i.e., num in range(0,total)
-        # if num >= total:
-        #     raise ValueError( 'Subplot number exceeds total subplots')
-        # self._rows = rows
-        # self._cols = cols
-        # self._num = num
-
-        # self.update_params()
-
-        # sets self.fixbox
-        self.update_params()
-
-        pos = self.figbox.bounds
-
-        horizontal = kwargs.pop("horizontal", [])
-        vertical = kwargs.pop("vertical", [])
-        aspect = kwargs.pop("aspect", None)
-        anchor = kwargs.pop("anchor", "C")
-
-        if kwargs:
-            raise Exception("")
-
-        Divider.__init__(self, fig, pos, horizontal, vertical,
+        super().__init__(fig, [0, 0, 1, 1],
+                         horizontal=horizontal or [], vertical=vertical or [],
                          aspect=aspect, anchor=anchor)
+        self.set_subplotspec(SubplotSpec._from_subplot_args(fig, args))
 
     def get_position(self):
-        "return the bounds of the subplot box"
-
-        self.update_params()  # update self.figbox
-        return self.figbox.bounds
-
-    # def update_params(self):
-    #     'update the subplot position from fig.subplotpars'
-
-    #     rows = self._rows
-    #     cols = self._cols
-    #     num = self._num
-
-    #     pars = self.figure.subplotpars
-    #     left = pars.left
-    #     right = pars.right
-    #     bottom = pars.bottom
-    #     top = pars.top
-    #     wspace = pars.wspace
-    #     hspace = pars.hspace
-    #     totWidth = right-left
-    #     totHeight = top-bottom
-
-    #     figH = totHeight/(rows + hspace*(rows-1))
-    #     sepH = hspace*figH
-
-    #     figW = totWidth/(cols + wspace*(cols-1))
-    #     sepW = wspace*figW
-
-    #     rowNum, colNum =  divmod(num, cols)
-
-    #     figBottom = top - (rowNum+1)*figH - rowNum*sepH
-    #     figLeft = left + colNum*(figW + sepW)
-
-    #     self.figbox = mtransforms.Bbox.from_bounds(figLeft, figBottom,
-    #                                                figW, figH)
-
-    def update_params(self):
-        'update the subplot position from fig.subplotpars'
-
-        self.figbox = self.get_subplotspec().get_position(self.figure)
-
-    def get_geometry(self):
-        'get the subplot geometry, e.g., 2,2,3'
-        rows, cols, num1, num2 = self.get_subplotspec().get_geometry()
-        return rows, cols, num1+1  # for compatibility
-
-    # COVERAGE NOTE: Never used internally or from examples
-    def change_geometry(self, numrows, numcols, num):
-        'change subplot geometry, e.g., from 1,1,1 to 2,2,3'
-        self._subplotspec = GridSpec(numrows, numcols)[num-1]
-        self.update_params()
-        self.set_position(self.figbox)
+        """Return the bounds of the subplot box."""
+        return self.get_subplotspec().get_position(self.figure).bounds
 
     def get_subplotspec(self):
-        'get the SubplotSpec instance'
+        """Get the SubplotSpec instance."""
         return self._subplotspec
 
     def set_subplotspec(self, subplotspec):
-        'set the SubplotSpec instance'
+        """Set the SubplotSpec instance."""
         self._subplotspec = subplotspec
+        self.set_position(subplotspec.get_position(self.figure))
 
 
 class AxesDivider(Divider):
     """
-    Divider based on the pre-existing axes.
+    Divider based on the preexisting axes.
     """
 
     def __init__(self, axes, xref=None, yref=None):
         """
-        :param axes: axes
+        Parameters
+        ----------
+        axes : :class:`~matplotlib.axes.Axes`
+        xref
+        yref
         """
         self._axes = axes
         if xref is None:
@@ -497,146 +355,99 @@ def __init__(self, axes, xref=None, yref=None):
         else:
             self._yref = yref
 
-        Divider.__init__(self, fig=axes.get_figure(), pos=None,
+        super().__init__(fig=axes.get_figure(), pos=None,
                          horizontal=[self._xref], vertical=[self._yref],
                          aspect=None, anchor="C")
 
-    def _get_new_axes(self, **kwargs):
+    def _get_new_axes(self, *, axes_class=None, **kwargs):
         axes = self._axes
-
-        axes_class = kwargs.pop("axes_class", None)
-
         if axes_class is None:
-            if isinstance(axes, SubplotBase):
-                axes_class = axes._axes_class
-            else:
-                axes_class = type(axes)
-
-        ax = axes_class(axes.get_figure(),
-                        axes.get_position(original=True), **kwargs)
-
-        return ax
+            axes_class = type(axes)
+        return axes_class(axes.get_figure(), axes.get_position(original=True),
+                          **kwargs)
 
     def new_horizontal(self, size, pad=None, pack_start=False, **kwargs):
         """
-        Add a new axes on the right (or left) side of the main axes.
+        Helper method for ``append_axes("left")`` and ``append_axes("right")``.
 
-        :param size: A width of the axes.
-          A :mod:`~mpl_toolkits.axes_grid.axes_size`
-          instance or if float or string is given, *from_any*
-          function is used to create one, with *ref_size* set to AxesX instance
-          of the current axes.
-        :param pad: pad between the axes. It takes same argument as *size*.
-        :param pack_start: If False, the new axes is appended at the end
-          of the list, i.e., it became the right-most axes. If True, it is
-          inserted at the start of the list, and becomes the left-most axes.
+        See the documentation of `append_axes` for more details.
 
-        All extra keywords arguments are passed to the created axes.
-        If *axes_class* is given, the new axes will be created as an
-        instance of the given class. Otherwise, the same class of the
-        main axes will be used.
+        :meta private:
         """
-
+        if pad is None:
+            pad = mpl.rcParams["figure.subplot.wspace"] * self._xref
+        pos = "left" if pack_start else "right"
         if pad:
             if not isinstance(pad, Size._Base):
-                pad = Size.from_any(pad,
-                                    fraction_ref=self._xref)
-            if pack_start:
-                self._horizontal.insert(0, pad)
-                self._xrefindex += 1
-            else:
-                self._horizontal.append(pad)
-
+                pad = Size.from_any(pad, fraction_ref=self._xref)
+            self.append_size(pos, pad)
         if not isinstance(size, Size._Base):
-            size = Size.from_any(size,
-                                 fraction_ref=self._xref)
-
-        if pack_start:
-            self._horizontal.insert(0, size)
-            self._xrefindex += 1
-            locator = self.new_locator(nx=0, ny=self._yrefindex)
-        else:
-            self._horizontal.append(size)
-            locator = self.new_locator(nx=len(self._horizontal)-1, ny=self._yrefindex)
-
+            size = Size.from_any(size, fraction_ref=self._xref)
+        self.append_size(pos, size)
+        locator = self.new_locator(
+            nx=0 if pack_start else len(self._horizontal) - 1,
+            ny=self._yrefindex)
         ax = self._get_new_axes(**kwargs)
         ax.set_axes_locator(locator)
-
         return ax
 
     def new_vertical(self, size, pad=None, pack_start=False, **kwargs):
         """
-        Add a new axes on the top (or bottom) side of the main axes.
+        Helper method for ``append_axes("top")`` and ``append_axes("bottom")``.
 
-        :param size: A height of the axes.
-          A :mod:`~mpl_toolkits.axes_grid.axes_size`
-          instance or if float or string is given, *from_any*
-          function is used to create one, with *ref_size* set to AxesX instance
-          of the current axes.
-        :param pad: pad between the axes. It takes same argument as *size*.
-        :param pack_start: If False, the new axes is appended at the end
-          of the list, i.e., it became the top-most axes. If True, it is
-          inserted at the start of the list, and becomes the bottom-most axes.
+        See the documentation of `append_axes` for more details.
 
-        All extra keywords arguments are passed to the created axes.
-        If *axes_class* is given, the new axes will be created as an
-        instance of the given class. Otherwise, the same class of the
-        main axes will be used.
+        :meta private:
         """
-
+        if pad is None:
+            pad = mpl.rcParams["figure.subplot.hspace"] * self._yref
+        pos = "bottom" if pack_start else "top"
         if pad:
             if not isinstance(pad, Size._Base):
-                pad = Size.from_any(pad,
-                                    fraction_ref=self._yref)
-            if pack_start:
-                self._vertical.insert(0, pad)
-                self._yrefindex += 1
-            else:
-                self._vertical.append(pad)
-
+                pad = Size.from_any(pad, fraction_ref=self._yref)
+            self.append_size(pos, pad)
         if not isinstance(size, Size._Base):
-            size = Size.from_any(size,
-                                 fraction_ref=self._yref)
-
-        if pack_start:
-            self._vertical.insert(0, size)
-            self._yrefindex += 1
-            locator = self.new_locator(nx=self._xrefindex, ny=0)
-        else:
-            self._vertical.append(size)
-            locator = self.new_locator(nx=self._xrefindex, ny=len(self._vertical)-1)
-
+            size = Size.from_any(size, fraction_ref=self._yref)
+        self.append_size(pos, size)
+        locator = self.new_locator(
+            nx=self._xrefindex,
+            ny=0 if pack_start else len(self._vertical) - 1)
         ax = self._get_new_axes(**kwargs)
         ax.set_axes_locator(locator)
-
         return ax
 
-    def append_axes(self, position, size, pad=None, add_to_figure=True,
+    def append_axes(self, position, size, pad=None, *, axes_class=None,
                     **kwargs):
         """
-        create an axes at the given *position* with the same height
-        (or width) of the main axes.
-
-         *position*
-           ["left"|"right"|"bottom"|"top"]
-
-         *size* and *pad* should be axes_grid.axes_size compatible.
-        """
-
-        if position == "left":
-            ax = self.new_horizontal(size, pad, pack_start=True, **kwargs)
-        elif position == "right":
-            ax = self.new_horizontal(size, pad, pack_start=False, **kwargs)
-        elif position == "bottom":
-            ax = self.new_vertical(size, pad, pack_start=True, **kwargs)
-        elif position == "top":
-            ax = self.new_vertical(size, pad, pack_start=False, **kwargs)
-        else:
-            raise ValueError("the position must be one of left," +
-                             " right, bottom, or top")
-
-        if add_to_figure:
-            self._fig.add_axes(ax)
+        Add a new axes on a given side of the main axes.
+
+        Parameters
+        ----------
+        position : {"left", "right", "bottom", "top"}
+            Where the new axes is positioned relative to the main axes.
+        size : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
+            The axes width or height.  float or str arguments are interpreted
+            as ``axes_size.from_any(size, AxesX(<main_axes>))`` for left or
+            right axes, and likewise with ``AxesY`` for bottom or top axes.
+        pad : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
+            Padding between the axes.  float or str arguments are interpreted
+            as for *size*.  Defaults to :rc:`figure.subplot.wspace` times the
+            main Axes width (left or right axes) or :rc:`figure.subplot.hspace`
+            times the main Axes height (bottom or top axes).
+        axes_class : subclass type of `~.axes.Axes`, optional
+            The type of the new axes.  Defaults to the type of the main axes.
+        **kwargs
+            All extra keywords arguments are passed to the created axes.
+        """
+        create_axes, pack_start = _api.check_getitem({
+            "left": (self.new_horizontal, True),
+            "right": (self.new_horizontal, False),
+            "bottom": (self.new_vertical, True),
+            "top": (self.new_vertical, False),
+        }, position=position)
+        ax = create_axes(
+            size, pad, pack_start=pack_start, axes_class=axes_class, **kwargs)
+        self._fig.add_axes(ax)
         return ax
 
     def get_aspect(self):
@@ -663,245 +474,124 @@ def get_anchor(self):
             return self._anchor
 
     def get_subplotspec(self):
-        if hasattr(self._axes, "get_subplotspec"):
-            return self._axes.get_subplotspec()
-        else:
-            return None
+        return self._axes.get_subplotspec()
+
+
+# Helper for HBoxDivider/VBoxDivider.
+# The variable names are written for a horizontal layout, but the calculations
+# work identically for vertical layouts.
+def _locate(x, y, w, h, summed_widths, equal_heights, fig_w, fig_h, anchor):
+
+    total_width = fig_w * w
+    max_height = fig_h * h
+
+    # Determine the k factors.
+    n = len(equal_heights)
+    eq_rels, eq_abss = equal_heights.T
+    sm_rels, sm_abss = summed_widths.T
+    A = np.diag([*eq_rels, 0])
+    A[:n, -1] = -1
+    A[-1, :-1] = sm_rels
+    B = [*(-eq_abss), total_width - sm_abss.sum()]
+    # A @ K = B: This finds factors {k_0, ..., k_{N-1}, H} so that
+    #   eq_rel_i * k_i + eq_abs_i = H for all i: all axes have the same height
+    #   sum(sm_rel_i * k_i + sm_abs_i) = total_width: fixed total width
+    # (foo_rel_i * k_i + foo_abs_i will end up being the size of foo.)
+    *karray, height = np.linalg.solve(A, B)
+    if height > max_height:  # Additionally, upper-bound the height.
+        karray = (max_height - eq_abss) / eq_rels
+
+    # Compute the offsets corresponding to these factors.
+    ox = np.cumsum([0, *(sm_rels * karray + sm_abss)])
+    ww = (ox[-1] - ox[0]) / fig_w
+    h0_rel, h0_abs = equal_heights[0]
+    hh = (karray[0]*h0_rel + h0_abs) / fig_h
+    pb = mtransforms.Bbox.from_bounds(x, y, w, h)
+    pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
+    x0, y0 = pb1.anchored(anchor, pb).p0
+
+    return x0, y0, ox, hh
 
 
 class HBoxDivider(SubplotDivider):
+    """
+    A `.SubplotDivider` for laying out axes horizontally, while ensuring that
+    they have equal heights.
 
-    def __init__(self, fig, *args, **kwargs):
-        SubplotDivider.__init__(self, fig, *args, **kwargs)
-
-    @staticmethod
-    def _determine_karray(equivalent_sizes, appended_sizes,
-                          max_equivalent_size,
-                          total_appended_size):
-
-        n = len(equivalent_sizes)
-        import numpy as np
-        A = np.mat(np.zeros((n+1, n+1), dtype="d"))
-        B = np.zeros((n+1), dtype="d")
-        # AxK = B
-
-        # populated A
-        for i, (r, a) in enumerate(equivalent_sizes):
-            A[i, i] = r
-            A[i, -1] = -1
-            B[i] = -a
-        A[-1, :-1] = [r for r, a in appended_sizes]
-        B[-1] = total_appended_size - sum([a for rs, a in appended_sizes])
-
-        karray_H = (A.I*np.mat(B).T).A1
-        karray = karray_H[:-1]
-        H = karray_H[-1]
-
-        if H > max_equivalent_size:
-            karray = ((max_equivalent_size -
-                      np.array([a for r, a in equivalent_sizes]))
-                      / np.array([r for r, a in equivalent_sizes]))
-        return karray
-
-    @staticmethod
-    def _calc_offsets(appended_sizes, karray):
-        offsets = [0.]
-
-        #for s in l:
-        for (r, a), k in zip(appended_sizes, karray):
-            offsets.append(offsets[-1] + r*k + a)
-
-        return offsets
+    Examples
+    --------
+    .. plot:: gallery/axes_grid1/demo_axes_hbox_divider.py
+    """
 
     def new_locator(self, nx, nx1=None):
         """
-        returns a new locator
-        (:class:`mpl_toolkits.axes_grid.axes_divider.AxesLocator`) for
-        specified cell.
-
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
-        """
-        return AxesLocator(self, nx, 0, nx1, None)
-
-    def _locate(self, x, y, w, h,
-                y_equivalent_sizes, x_appended_sizes,
-                figW, figH):
-        """
-
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
-        """
-
-        equivalent_sizes = y_equivalent_sizes
-        appended_sizes = x_appended_sizes
-
-        max_equivalent_size = figH*h
-        total_appended_size = figW*w
-        karray = self._determine_karray(equivalent_sizes, appended_sizes,
-                                        max_equivalent_size,
-                                        total_appended_size)
-
-        ox = self._calc_offsets(appended_sizes, karray)
-
-        ww = (ox[-1] - ox[0])/figW
-        ref_h = equivalent_sizes[0]
-        hh = (karray[0]*ref_h[0] + ref_h[1])/figH
-        pb = mtransforms.Bbox.from_bounds(x, y, w, h)
-        pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
-        pb1_anchored = pb1.anchored(self.get_anchor(), pb)
-        x0, y0 = pb1_anchored.x0, pb1_anchored.y0
-
-        return x0, y0, ox, hh
-
-    def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
-        """
+        Create an axes locator callable for the specified cell.
 
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
+        Parameters
+        ----------
+        nx, nx1 : int
+            Integers specifying the column-position of the
+            cell. When *nx1* is None, a single *nx*-th column is
+            specified. Otherwise, location of columns spanning between *nx*
+            to *nx1* (but excluding *nx1*-th column) is specified.
         """
+        return super().new_locator(nx, 0, nx1, 0)
 
-        figW, figH = self._fig.get_size_inches()
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        # docstring inherited
+        nx += self._xrefindex
+        nx1 += self._xrefindex
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
         x, y, w, h = self.get_position_runtime(axes, renderer)
-
-        y_equivalent_sizes = self.get_vertical_sizes(renderer)
-        x_appended_sizes = self.get_horizontal_sizes(renderer)
-        x0, y0, ox, hh = self._locate(x, y, w, h,
-                                      y_equivalent_sizes, x_appended_sizes,
-                                      figW, figH)
+        summed_ws = self.get_horizontal_sizes(renderer)
+        equal_hs = self.get_vertical_sizes(renderer)
+        x0, y0, ox, hh = _locate(
+            x, y, w, h, summed_ws, equal_hs, fig_w, fig_h, self.get_anchor())
         if nx1 is None:
-            nx1 = nx+1
-
-        x1, w1 = x0 + ox[nx]/figW, (ox[nx1] - ox[nx])/figW
+            nx1 = -1
+        x1, w1 = x0 + ox[nx] / fig_w, (ox[nx1] - ox[nx]) / fig_w
         y1, h1 = y0, hh
-
         return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
 
 
-class VBoxDivider(HBoxDivider):
+class VBoxDivider(SubplotDivider):
     """
-    The Divider class whose rectangle area is specified as a subplot geometry.
+    A `.SubplotDivider` for laying out axes vertically, while ensuring that
+    they have equal widths.
     """
 
     def new_locator(self, ny, ny1=None):
         """
-        returns a new locator
-        (:class:`mpl_toolkits.axes_grid.axes_divider.AxesLocator`) for
-        specified cell.
-
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
-        """
-        return AxesLocator(self, 0, ny, None, ny1)
+        Create an axes locator callable for the specified cell.
 
-    def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
+        Parameters
+        ----------
+        ny, ny1 : int
+            Integers specifying the row-position of the
+            cell. When *ny1* is None, a single *ny*-th row is
+            specified. Otherwise, location of rows spanning between *ny*
+            to *ny1* (but excluding *ny1*-th row) is specified.
         """
+        return super().new_locator(0, ny, 0, ny1)
 
-        :param nx, nx1: Integers specifying the column-position of the
-          cell. When nx1 is None, a single nx-th column is
-          specified. Otherwise location of columns spanning between nx
-          to nx1 (but excluding nx1-th column) is specified.
-
-        :param ny, ny1: same as nx and nx1, but for row positions.
-        """
-
-        figW, figH = self._fig.get_size_inches()
+    def _locate(self, nx, ny, nx1, ny1, axes, renderer):
+        # docstring inherited
+        ny += self._yrefindex
+        ny1 += self._yrefindex
+        fig_w, fig_h = self._fig.bbox.size / self._fig.dpi
         x, y, w, h = self.get_position_runtime(axes, renderer)
-
-        x_equivalent_sizes = self.get_horizontal_sizes(renderer)
-        y_appended_sizes = self.get_vertical_sizes(renderer)
-
-        y0, x0, oy, ww = self._locate(y, x, h, w,
-                                      x_equivalent_sizes, y_appended_sizes,
-                                      figH, figW)
+        summed_hs = self.get_vertical_sizes(renderer)
+        equal_ws = self.get_horizontal_sizes(renderer)
+        y0, x0, oy, ww = _locate(
+            y, x, h, w, summed_hs, equal_ws, fig_h, fig_w, self.get_anchor())
         if ny1 is None:
-            ny1 = ny+1
-
+            ny1 = -1
         x1, w1 = x0, ww
-        y1, h1 = y0 + oy[ny]/figH, (oy[ny1] - oy[ny])/figH
-
+        y1, h1 = y0 + oy[ny] / fig_h, (oy[ny1] - oy[ny]) / fig_h
         return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
 
 
-class LocatableAxesBase(object):
-    def __init__(self, *kl, **kw):
-
-        self._axes_class.__init__(self, *kl, **kw)
-
-        self._locator = None
-        self._locator_renderer = None
-
-    def set_axes_locator(self, locator):
-        self._locator = locator
-
-    def get_axes_locator(self):
-        return self._locator
-
-    def apply_aspect(self, position=None):
-
-        if self.get_axes_locator() is None:
-            self._axes_class.apply_aspect(self, position)
-        else:
-            pos = self.get_axes_locator()(self, self._locator_renderer)
-            self._axes_class.apply_aspect(self, position=pos)
-
-    def draw(self, renderer=None, inframe=False):
-
-        self._locator_renderer = renderer
-
-        self._axes_class.draw(self, renderer, inframe)
-
-    def _make_twin_axes(self, *kl, **kwargs):
-        """
-        Need to overload so that twinx/twiny will work with
-        these axes.
-        """
-        ax2 = type(self)(self.figure, self.get_position(True), *kl, **kwargs)
-        ax2.set_axes_locator(self.get_axes_locator())
-        self.figure.add_axes(ax2)
-        return ax2
-
-_locatableaxes_classes = {}
-
-
-def locatable_axes_factory(axes_class):
-
-    new_class = _locatableaxes_classes.get(axes_class)
-    if new_class is None:
-        new_class = type(str("Locatable%s" % (axes_class.__name__)),
-                         (LocatableAxesBase, axes_class),
-                         {'_axes_class': axes_class})
-
-        _locatableaxes_classes[axes_class] = new_class
-
-    return new_class
-
-#if hasattr(maxes.Axes, "get_axes_locator"):
-#    LocatableAxes = maxes.Axes
-#else:
-
-
 def make_axes_locatable(axes):
-    if not hasattr(axes, "set_axes_locator"):
-        new_class = locatable_axes_factory(type(axes))
-        axes.__class__ = new_class
-
     divider = AxesDivider(axes)
     locator = divider.new_locator(nx=0, ny=0)
     axes.set_axes_locator(locator)
@@ -909,19 +599,20 @@ def make_axes_locatable(axes):
     return divider
 
 
-def make_axes_area_auto_adjustable(ax,
-                                   use_axes=None, pad=0.1,
-                                   adjust_dirs=None):
+def make_axes_area_auto_adjustable(
+        ax, use_axes=None, pad=0.1, adjust_dirs=None):
+    """
+    Add auto-adjustable padding around *ax* to take its decorations (title,
+    labels, ticks, ticklabels) into account during layout, using
+    `.Divider.add_auto_adjustable_area`.
+
+    By default, padding is determined from the decorations of *ax*.
+    Pass *use_axes* to consider the decorations of other Axes instead.
+    """
     if adjust_dirs is None:
         adjust_dirs = ["left", "right", "bottom", "top"]
     divider = make_axes_locatable(ax)
-
     if use_axes is None:
         use_axes = ax
-
     divider.add_auto_adjustable_area(use_axes=use_axes, pad=pad,
                                      adjust_dirs=adjust_dirs)
-
-#from matplotlib.axes import Axes
-from .mpl_axes import Axes
-LocatableAxes = locatable_axes_factory(Axes)
diff --git a/lib/mpl_toolkits/axes_grid1/axes_grid.py b/lib/mpl_toolkits/axes_grid1/axes_grid.py
index 1b996acca04f..64bc8f465f19 100644
--- a/lib/mpl_toolkits/axes_grid1/axes_grid.py
+++ b/lib/mpl_toolkits/axes_grid1/axes_grid.py
@@ -1,366 +1,185 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from numbers import Number
+import functools
+from types import MethodType
 
-import six
-
-import matplotlib.cbook as cbook
-
-import matplotlib.pyplot as plt
-import matplotlib.axes as maxes
-#import matplotlib.colorbar as mcolorbar
-from . import colorbar as mcolorbar
-import matplotlib as mpl
-import matplotlib.patches as mpatches
-import matplotlib.lines as mlines
-import matplotlib.ticker as ticker
+import numpy as np
 
+from matplotlib import _api, cbook
 from matplotlib.gridspec import SubplotSpec
 
-from .axes_divider import Size, SubplotDivider, LocatableAxes, Divider
-
-
-def _extend_axes_pad(value):
-    # Check whether a list/tuple/array or scalar has been passed
-    ret = value
-    if not hasattr(ret, "__getitem__"):
-        ret = (value, value)
-    return ret
-
-def _tick_only(ax, bottom_on, left_on):
-    bottom_off = not bottom_on
-    left_off = not left_on
-    # [l.set_visible(bottom_off) for l in ax.get_xticklabels()]
-    # [l.set_visible(left_off) for l in ax.get_yticklabels()]
-    # ax.xaxis.label.set_visible(bottom_off)
-    # ax.yaxis.label.set_visible(left_off)
-    ax.axis["bottom"].toggle(ticklabels=bottom_off, label=bottom_off)
-    ax.axis["left"].toggle(ticklabels=left_off, label=left_off)
-
-
-class Colorbar(mcolorbar.Colorbar):
-    def _config_axes_deprecated(self, X, Y):
-        '''
-        Make an axes patch and outline.
-        '''
-        ax = self.ax
-        ax.set_frame_on(False)
-        ax.set_navigate(False)
-        xy = self._outline(X, Y)
-        ax.update_datalim(xy)
-        ax.set_xlim(*ax.dataLim.intervalx)
-        ax.set_ylim(*ax.dataLim.intervaly)
-        self.outline = mlines.Line2D(xy[:, 0], xy[:, 1],
-                                     color=mpl.rcParams['axes.edgecolor'],
-                                     linewidth=mpl.rcParams['axes.linewidth'])
-        ax.add_artist(self.outline)
-        self.outline.set_clip_box(None)
-        self.outline.set_clip_path(None)
-        c = mpl.rcParams['axes.facecolor']
-        self.patch = mpatches.Polygon(xy, edgecolor=c,
-                                      facecolor=c,
-                                      linewidth=0.01,
-                                      zorder=-1)
-        ax.add_artist(self.patch)
-        ticks, ticklabels, offset_string = self._ticker()
-
-        if self.orientation == 'vertical':
-            ax.set_yticks(ticks)
-            ax.set_yticklabels(ticklabels)
-            ax.yaxis.get_major_formatter().set_offset_string(offset_string)
-
-        else:
-            ax.set_xticks(ticks)
-            ax.set_xticklabels(ticklabels)
-            ax.xaxis.get_major_formatter().set_offset_string(offset_string)
+from .axes_divider import Size, SubplotDivider, Divider
+from .mpl_axes import Axes, SimpleAxisArtist
 
 
-class CbarAxesBase(object):
+class CbarAxesBase:
+    def __init__(self, *args, orientation, **kwargs):
+        self.orientation = orientation
+        super().__init__(*args, **kwargs)
 
     def colorbar(self, mappable, **kwargs):
-        locator = kwargs.pop("locator", None)
-
-        if locator is None:
-            if "ticks" not in kwargs:
-                kwargs["ticks"] = ticker.MaxNLocator(5)
-        if locator is not None:
-            if "ticks" in kwargs:
-                raise ValueError("Either *locator* or *ticks* need" +
-                                 " to be given, not both")
-            else:
-                kwargs["ticks"] = locator
+        return self.get_figure(root=False).colorbar(
+            mappable, cax=self, location=self.orientation, **kwargs)
 
-        self.hold(True)
-        if self.orientation in ["top", "bottom"]:
-            orientation = "horizontal"
-        else:
-            orientation = "vertical"
-
-        cb = Colorbar(self, mappable, orientation=orientation, **kwargs)
-        self._config_axes()
-
-        def on_changed(m):
-            #print 'calling on changed', m.get_cmap().name
-            cb.set_cmap(m.get_cmap())
-            cb.set_clim(m.get_clim())
-            cb.update_bruteforce(m)
-
-        self.cbid = mappable.callbacksSM.connect('changed', on_changed)
-        mappable.colorbar = cb
-
-        self.locator = cb.cbar_axis.get_major_locator()
-
-        return cb
-
-    def _config_axes(self):
-        '''
-        Make an axes patch and outline.
-        '''
-        ax = self
-        ax.set_navigate(False)
-
-        ax.axis[:].toggle(all=False)
-        b = self._default_label_on
-        ax.axis[self.orientation].toggle(all=b)
-
-        # for axis in ax.axis.values():
-        #     axis.major_ticks.set_visible(False)
-        #     axis.minor_ticks.set_visible(False)
-        #     axis.major_ticklabels.set_visible(False)
-        #     axis.minor_ticklabels.set_visible(False)
-        #     axis.label.set_visible(False)
-
-        # axis = ax.axis[self.orientation]
-        # axis.major_ticks.set_visible(True)
-        # axis.minor_ticks.set_visible(True)
-
-        #axis.major_ticklabels.set_size(
-        #    int(axis.major_ticklabels.get_size()*.9))
-        #axis.major_tick_pad = 3
-
-        # axis.major_ticklabels.set_visible(b)
-        # axis.minor_ticklabels.set_visible(b)
-        # axis.label.set_visible(b)
-
-    def toggle_label(self, b):
-        self._default_label_on = b
-        axis = self.axis[self.orientation]
-        axis.toggle(ticklabels=b, label=b)
-        #axis.major_ticklabels.set_visible(b)
-        #axis.minor_ticklabels.set_visible(b)
-        #axis.label.set_visible(b)
-
-
-class CbarAxes(CbarAxesBase, LocatableAxes):
-    def __init__(self, *kl, **kwargs):
-        orientation = kwargs.pop("orientation", None)
-        if orientation is None:
-            raise ValueError("orientation must be specified")
-        self.orientation = orientation
-        self._default_label_on = True
-        self.locator = None
 
-        super(LocatableAxes, self).__init__(*kl, **kwargs)
+_cbaraxes_class_factory = cbook._make_class_factory(CbarAxesBase, "Cbar{}")
 
-    def cla(self):
-        super(LocatableAxes, self).cla()
-        self._config_axes()
 
-
-class Grid(object):
+class Grid:
     """
-    A class that creates a grid of Axes. In matplotlib, the axes
-    location (and size) is specified in the normalized figure
-    coordinates. This may not be ideal for images that needs to be
-    displayed with a given aspect ratio.  For example, displaying
-    images of a same size with some fixed padding between them cannot
-    be easily done in matplotlib. AxesGrid is used in such case.
+    A grid of Axes.
+
+    In Matplotlib, the Axes location (and size) is specified in normalized
+    figure coordinates. This may not be ideal for images that needs to be
+    displayed with a given aspect ratio; for example, it is difficult to
+    display multiple images of a same size with some fixed padding between
+    them.  AxesGrid can be used in such case.
+
+    Attributes
+    ----------
+    axes_all : list of Axes
+        A flat list of Axes. Note that you can also access this directly
+        from the grid. The following is equivalent ::
+
+            grid[i] == grid.axes_all[i]
+            len(grid) == len(grid.axes_all)
+
+    axes_column : list of list of Axes
+        A 2D list of Axes where the first index is the column. This results
+        in the usage pattern ``grid.axes_column[col][row]``.
+    axes_row : list of list of Axes
+        A 2D list of Axes where the first index is the row. This results
+        in the usage pattern ``grid.axes_row[row][col]``.
+    axes_llc : Axes
+        The Axes in the lower left corner.
+    n_axes : int
+        Number of Axes in the grid.
     """
 
-    _defaultLocatableAxesClass = LocatableAxes
+    _defaultAxesClass = Axes
 
+    @_api.rename_parameter("3.11", "ngrids", "n_axes")
     def __init__(self, fig,
                  rect,
                  nrows_ncols,
-                 ngrids=None,
+                 n_axes=None,
                  direction="row",
                  axes_pad=0.02,
-                 add_all=True,
+                 *,
                  share_all=False,
                  share_x=True,
                  share_y=True,
-                 #aspect=True,
                  label_mode="L",
                  axes_class=None,
+                 aspect=False,
                  ):
         """
-        Build an :class:`Grid` instance with a grid nrows*ncols
-        :class:`~matplotlib.axes.Axes` in
-        :class:`~matplotlib.figure.Figure` *fig* with
-        *rect=[left, bottom, width, height]* (in
-        :class:`~matplotlib.figure.Figure` coordinates) or
-        the subplot position code (e.g., "121").
-
-        Optional keyword arguments:
-
-          ================  ========  =========================================
-          Keyword           Default   Description
-          ================  ========  =========================================
-          direction         "row"     [ "row" | "column" ]
-          axes_pad          0.02      float| pad between axes given in inches
-                                      or tuple-like of floats,
-                                      (horizontal padding, vertical padding)
-          add_all           True      [ True | False ]
-          share_all         False     [ True | False ]
-          share_x           True      [ True | False ]
-          share_y           True      [ True | False ]
-          label_mode        "L"       [ "L" | "1" | "all" ]
-          axes_class        None      a type object which must be a subclass
-                                      of :class:`~matplotlib.axes.Axes`
-          ================  ========  =========================================
+        Parameters
+        ----------
+        fig : `.Figure`
+            The parent figure.
+        rect : (float, float, float, float), (int, int, int), int, or \
+    `~.SubplotSpec`
+            The axes position, as a ``(left, bottom, width, height)`` tuple,
+            as a three-digit subplot position code (e.g., ``(1, 2, 1)`` or
+            ``121``), or as a `~.SubplotSpec`.
+        nrows_ncols : (int, int)
+            Number of rows and columns in the grid.
+        n_axes : int or None, default: None
+            If not None, only the first *n_axes* axes in the grid are created.
+        direction : {"row", "column"}, default: "row"
+            Whether axes are created in row-major ("row by row") or
+            column-major order ("column by column").  This also affects the
+            order in which axes are accessed using indexing (``grid[index]``).
+        axes_pad : float or (float, float), default: 0.02
+            Padding or (horizontal padding, vertical padding) between axes, in
+            inches.
+        share_all : bool, default: False
+            Whether all axes share their x- and y-axis.  Overrides *share_x*
+            and *share_y*.
+        share_x : bool, default: True
+            Whether all axes of a column share their x-axis.
+        share_y : bool, default: True
+            Whether all axes of a row share their y-axis.
+        label_mode : {"L", "1", "all", "keep"}, default: "L"
+            Determines which axes will get tick labels:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": All axes are labelled.
+            - "keep": Do not do anything.
+
+        axes_class : subclass of `matplotlib.axes.Axes`, default: `.mpl_axes.Axes`
+            The type of Axes to create.
+        aspect : bool, default: False
+            Whether the axes aspect ratio follows the aspect ratio of the data
+            limits.
         """
         self._nrows, self._ncols = nrows_ncols
 
-        if ngrids is None:
-            ngrids = self._nrows * self._ncols
+        if n_axes is None:
+            n_axes = self._nrows * self._ncols
         else:
-            if (ngrids > self._nrows * self._ncols) or (ngrids <= 0):
-                raise Exception("")
-
-        self.ngrids = ngrids
+            if not 0 < n_axes <= self._nrows * self._ncols:
+                raise ValueError(
+                    "n_axes must be positive and not larger than nrows*ncols")
 
-        self._init_axes_pad(axes_pad)
-
-        if direction not in ["column", "row"]:
-            raise Exception("")
+        self._horiz_pad_size, self._vert_pad_size = map(
+            Size.Fixed, np.broadcast_to(axes_pad, 2))
 
+        _api.check_in_list(["column", "row"], direction=direction)
         self._direction = direction
 
         if axes_class is None:
-            axes_class = self._defaultLocatableAxesClass
-            axes_class_args = {}
-        else:
-            if (type(axes_class)) == type and \
-                   issubclass(axes_class,
-                              self._defaultLocatableAxesClass.Axes):
-                axes_class_args = {}
-            else:
-                axes_class, axes_class_args = axes_class
-
-        self.axes_all = []
-        self.axes_column = [[] for _ in range(self._ncols)]
-        self.axes_row = [[] for _ in range(self._nrows)]
-
-        h = []
-        v = []
-        if cbook.is_string_like(rect) or cbook.is_numlike(rect):
-            self._divider = SubplotDivider(fig, rect, horizontal=h, vertical=v,
-                                           aspect=False)
-        elif isinstance(rect, SubplotSpec):
-            self._divider = SubplotDivider(fig, rect, horizontal=h, vertical=v,
-                                           aspect=False)
+            axes_class = self._defaultAxesClass
+        elif isinstance(axes_class, (list, tuple)):
+            cls, kwargs = axes_class
+            axes_class = functools.partial(cls, **kwargs)
+
+        kw = dict(horizontal=[], vertical=[], aspect=aspect)
+        if isinstance(rect, (Number, SubplotSpec)):
+            self._divider = SubplotDivider(fig, rect, **kw)
         elif len(rect) == 3:
-            kw = dict(horizontal=h, vertical=v, aspect=False)
             self._divider = SubplotDivider(fig, *rect, **kw)
         elif len(rect) == 4:
-            self._divider = Divider(fig, rect, horizontal=h, vertical=v,
-                                    aspect=False)
+            self._divider = Divider(fig, rect, **kw)
         else:
-            raise Exception("")
+            raise TypeError("Incorrect rect format")
 
         rect = self._divider.get_position()
 
-        # reference axes
-        self._column_refax = [None for _ in range(self._ncols)]
-        self._row_refax = [None for _ in range(self._nrows)]
-        self._refax = None
-
-        for i in range(self.ngrids):
-
+        axes_array = np.full((self._nrows, self._ncols), None, dtype=object)
+        for i in range(n_axes):
             col, row = self._get_col_row(i)
-
-            if share_all:
-                sharex = self._refax
-                sharey = self._refax
-            else:
-                if share_x:
-                    sharex = self._column_refax[col]
-                else:
-                    sharex = None
-
-                if share_y:
-                    sharey = self._row_refax[row]
-                else:
-                    sharey = None
-
-            ax = axes_class(fig, rect, sharex=sharex, sharey=sharey,
-                            **axes_class_args)
-
             if share_all:
-                if self._refax is None:
-                    self._refax = ax
+                sharex = sharey = axes_array[0, 0]
             else:
-                if sharex is None:
-                    self._column_refax[col] = ax
-                if sharey is None:
-                    self._row_refax[row] = ax
-
-            self.axes_all.append(ax)
-            self.axes_column[col].append(ax)
-            self.axes_row[row].append(ax)
-
+                sharex = axes_array[0, col] if share_x else None
+                sharey = axes_array[row, 0] if share_y else None
+            axes_array[row, col] = axes_class(
+                fig, rect, sharex=sharex, sharey=sharey)
+        self.axes_all = axes_array.ravel(
+            order="C" if self._direction == "row" else "F").tolist()[:n_axes]
+        self.axes_row = [[ax for ax in row if ax] for row in axes_array]
+        self.axes_column = [[ax for ax in col if ax] for col in axes_array.T]
         self.axes_llc = self.axes_column[0][-1]
 
-        self._update_locators()
+        self._init_locators()
 
-        if add_all:
-            for ax in self.axes_all:
-                fig.add_axes(ax)
+        for ax in self.axes_all:
+            fig.add_axes(ax)
 
         self.set_label_mode(label_mode)
 
-    def _init_axes_pad(self, axes_pad):
-        axes_pad = _extend_axes_pad(axes_pad)
-        self._axes_pad = axes_pad
-
-        self._horiz_pad_size = Size.Fixed(axes_pad[0])
-        self._vert_pad_size = Size.Fixed(axes_pad[1])
-
-    def _update_locators(self):
-
-        h = []
-
-        h_ax_pos = []
-
-        for _ in self._column_refax:
-            #if h: h.append(Size.Fixed(self._axes_pad))
-            if h:
-                h.append(self._horiz_pad_size)
-
-            h_ax_pos.append(len(h))
-
-            sz = Size.Scaled(1)
-            h.append(sz)
-
-        v = []
-
-        v_ax_pos = []
-        for _ in self._row_refax[::-1]:
-            #if v: v.append(Size.Fixed(self._axes_pad))
-            if v:
-                v.append(self._vert_pad_size)
-
-            v_ax_pos.append(len(v))
-            sz = Size.Scaled(1)
-            v.append(sz)
-
-        for i in range(self.ngrids):
+    def _init_locators(self):
+        self._divider.set_horizontal(
+            [Size.Scaled(1), self._horiz_pad_size] * (self._ncols-1) + [Size.Scaled(1)])
+        self._divider.set_vertical(
+            [Size.Scaled(1), self._vert_pad_size] * (self._nrows-1) + [Size.Scaled(1)])
+        for i in range(self.n_axes):
             col, row = self._get_col_row(i)
-            locator = self._divider.new_locator(nx=h_ax_pos[col],
-                                ny=v_ax_pos[self._nrows - 1 - row])
-            self.axes_all[i].set_axes_locator(locator)
-
-        self._divider.set_horizontal(h)
-        self._divider.set_vertical(v)
+            self.axes_all[i].set_axes_locator(
+                self._divider.new_locator(nx=2 * col, ny=2 * (self._nrows - 1 - row)))
 
     def _get_col_row(self, n):
         if self._direction == "column":
@@ -370,6 +189,9 @@ def _get_col_row(self, n):
 
         return col, row
 
+    n_axes = property(lambda self: len(self.axes_all))
+    ngrids = _api.deprecated(property(lambda self: len(self.axes_all)))
+
     # Good to propagate __len__ if we have __getitem__
     def __len__(self):
         return len(self.axes_all)
@@ -379,66 +201,79 @@ def __getitem__(self, i):
 
     def get_geometry(self):
         """
-        get geometry of the grid. Returns a tuple of two integer,
-        representing number of rows and number of columns.
+        Return the number of rows and columns of the grid as (nrows, ncols).
         """
         return self._nrows, self._ncols
 
     def set_axes_pad(self, axes_pad):
-        "set axes_pad"
-        self._axes_pad = axes_pad
+        """
+        Set the padding between the axes.
 
-        # These two lines actually differ from ones in _init_axes_pad
+        Parameters
+        ----------
+        axes_pad : (float, float)
+            The padding (horizontal pad, vertical pad) in inches.
+        """
         self._horiz_pad_size.fixed_size = axes_pad[0]
         self._vert_pad_size.fixed_size = axes_pad[1]
 
     def get_axes_pad(self):
         """
-        get axes_pad
+        Return the axes padding.
 
         Returns
         -------
-        tuple
-            Padding in inches, (horizontal pad, vertical pad)
+        hpad, vpad
+            Padding (horizontal pad, vertical pad) in inches.
         """
-        return self._axes_pad
+        return (self._horiz_pad_size.fixed_size,
+                self._vert_pad_size.fixed_size)
 
     def set_aspect(self, aspect):
-        "set aspect"
+        """Set the aspect of the SubplotDivider."""
         self._divider.set_aspect(aspect)
 
     def get_aspect(self):
-        "get aspect"
+        """Return the aspect of the SubplotDivider."""
         return self._divider.get_aspect()
 
     def set_label_mode(self, mode):
-        "set label_mode"
-        if mode == "all":
-            for ax in self.axes_all:
-                _tick_only(ax, False, False)
-        elif mode == "L":
-            # left-most axes
-            for ax in self.axes_column[0][:-1]:
-                _tick_only(ax, bottom_on=True, left_on=False)
-            # lower-left axes
-            ax = self.axes_column[0][-1]
-            _tick_only(ax, bottom_on=False, left_on=False)
-
-            for col in self.axes_column[1:]:
-                # axes with no labels
-                for ax in col[:-1]:
-                    _tick_only(ax, bottom_on=True, left_on=True)
-
-                # bottom
-                ax = col[-1]
-                _tick_only(ax, bottom_on=False, left_on=True)
-
-        elif mode == "1":
-            for ax in self.axes_all:
-                _tick_only(ax, bottom_on=True, left_on=True)
-
-            ax = self.axes_llc
-            _tick_only(ax, bottom_on=False, left_on=False)
+        """
+        Define which axes have tick labels.
+
+        Parameters
+        ----------
+        mode : {"L", "1", "all", "keep"}
+            The label mode:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": All axes are labelled.
+            - "keep": Do not do anything.
+        """
+        _api.check_in_list(["all", "L", "1", "keep"], mode=mode)
+        if mode == "keep":
+            return
+        for i, j in np.ndindex(self._nrows, self._ncols):
+            try:
+                ax = self.axes_row[i][j]
+            except IndexError:
+                continue
+            if isinstance(ax.axis, MethodType):
+                bottom_axis = SimpleAxisArtist(ax.xaxis, 1, ax.spines["bottom"])
+                left_axis = SimpleAxisArtist(ax.yaxis, 1, ax.spines["left"])
+            else:
+                bottom_axis = ax.axis["bottom"]
+                left_axis = ax.axis["left"]
+            display_at_bottom = (i == self._nrows - 1 if mode == "L" else
+                                 i == self._nrows - 1 and j == 0 if mode == "1" else
+                                 True)  # if mode == "all"
+            display_at_left = (j == 0 if mode == "L" else
+                               i == self._nrows - 1 and j == 0 if mode == "1" else
+                               True)  # if mode == "all"
+            bottom_axis.toggle(ticklabels=display_at_bottom, label=display_at_bottom)
+            left_axis.toggle(ticklabels=display_at_left, label=display_at_left)
 
     def get_divider(self):
         return self._divider
@@ -449,36 +284,24 @@ def set_axes_locator(self, locator):
     def get_axes_locator(self):
         return self._divider.get_locator()
 
-    def get_vsize_hsize(self):
-
-        return self._divider.get_vsize_hsize()
-#         from axes_size import AddList
-
-#         vsize = AddList(self._divider.get_vertical())
-#         hsize = AddList(self._divider.get_horizontal())
-
-#         return vsize, hsize
-
 
 class ImageGrid(Grid):
     """
-    A class that creates a grid of Axes. In matplotlib, the axes
-    location (and size) is specified in the normalized figure
-    coordinates. This may not be ideal for images that needs to be
-    displayed with a given aspect ratio.  For example, displaying
-    images of a same size with some fixed padding between them cannot
-    be easily done in matplotlib. ImageGrid is used in such case.
-    """
+    A grid of Axes for Image display.
 
-    _defaultCbarAxesClass = CbarAxes
+    This class is a specialization of `~.axes_grid1.axes_grid.Grid` for displaying a
+    grid of images.  In particular, it forces all axes in a column to share their x-axis
+    and all axes in a row to share their y-axis.  It further provides helpers to add
+    colorbars to some or all axes.
+    """
 
     def __init__(self, fig,
                  rect,
                  nrows_ncols,
-                 ngrids=None,
+                 n_axes=None,
                  direction="row",
                  axes_pad=0.02,
-                 add_all=True,
+                 *,
                  share_all=False,
                  aspect=True,
                  label_mode="L",
@@ -490,191 +313,135 @@ def __init__(self, fig,
                  axes_class=None,
                  ):
         """
-        Build an :class:`ImageGrid` instance with a grid nrows*ncols
-        :class:`~matplotlib.axes.Axes` in
-        :class:`~matplotlib.figure.Figure` *fig* with
-        *rect=[left, bottom, width, height]* (in
-        :class:`~matplotlib.figure.Figure` coordinates) or
-        the subplot position code (e.g., "121").
-
-        Optional keyword arguments:
-
-          ================  ========  =========================================
-          Keyword           Default   Description
-          ================  ========  =========================================
-          direction         "row"     [ "row" | "column" ]
-          axes_pad          0.02      float| pad between axes given in inches
-                                      or tuple-like of floats,
-                                      (horizontal padding, vertical padding)
-          add_all           True      [ True | False ]
-          share_all         False     [ True | False ]
-          aspect            True      [ True | False ]
-          label_mode        "L"       [ "L" | "1" | "all" ]
-          cbar_mode         None      [ "each" | "single" | "edge" ]
-          cbar_location     "right"   [ "left" | "right" | "bottom" | "top" ]
-          cbar_pad          None
-          cbar_size         "5%"
-          cbar_set_cax      True      [ True | False ]
-          axes_class        None      a type object which must be a subclass
-                                      of :class:`~matplotlib.axes.Axes`
-          ================  ========  =========================================
-
-        *cbar_set_cax* : if True, each axes in the grid has a cax
-          attribute that is bind to associated cbar_axes.
+        Parameters
+        ----------
+        fig : `.Figure`
+            The parent figure.
+        rect : (float, float, float, float) or int
+            The axes position, as a ``(left, bottom, width, height)`` tuple or
+            as a three-digit subplot position code (e.g., "121").
+        nrows_ncols : (int, int)
+            Number of rows and columns in the grid.
+        n_axes : int or None, default: None
+            If not None, only the first *n_axes* axes in the grid are created.
+        direction : {"row", "column"}, default: "row"
+            Whether axes are created in row-major ("row by row") or
+            column-major order ("column by column").  This also affects the
+            order in which axes are accessed using indexing (``grid[index]``).
+        axes_pad : float or (float, float), default: 0.02in
+            Padding or (horizontal padding, vertical padding) between axes, in
+            inches.
+        share_all : bool, default: False
+            Whether all axes share their x- and y-axis.  Note that in any case,
+            all axes in a column share their x-axis and all axes in a row share
+            their y-axis.
+        aspect : bool, default: True
+            Whether the axes aspect ratio follows the aspect ratio of the data
+            limits.
+        label_mode : {"L", "1", "all"}, default: "L"
+            Determines which axes will get tick labels:
+
+            - "L": All axes on the left column get vertical tick labels;
+              all axes on the bottom row get horizontal tick labels.
+            - "1": Only the bottom left axes is labelled.
+            - "all": all axes are labelled.
+
+        cbar_mode : {"each", "single", "edge", None}, default: None
+            Whether to create a colorbar for "each" axes, a "single" colorbar
+            for the entire grid, colorbars only for axes on the "edge"
+            determined by *cbar_location*, or no colorbars.  The colorbars are
+            stored in the :attr:`!cbar_axes` attribute.
+        cbar_location : {"left", "right", "bottom", "top"}, default: "right"
+        cbar_pad : float, default: None
+            Padding between the image axes and the colorbar axes.
+
+            .. versionchanged:: 3.10
+                ``cbar_mode="single"`` no longer adds *axes_pad* between the axes
+                and the colorbar if the *cbar_location* is "left" or "bottom".
+
+        cbar_size : size specification (see `!.Size.from_any`), default: "5%"
+            Colorbar size.
+        cbar_set_cax : bool, default: True
+            If True, each axes in the grid has a *cax* attribute that is bound
+            to associated *cbar_axes*.
+        axes_class : subclass of `matplotlib.axes.Axes`, default: None
         """
-        self._nrows, self._ncols = nrows_ncols
-
-        if ngrids is None:
-            ngrids = self._nrows * self._ncols
-        else:
-            if (ngrids > self._nrows * self._ncols) or (ngrids <= 0):
-                raise Exception("")
-
-        self.ngrids = ngrids
-
-        axes_pad = _extend_axes_pad(axes_pad)
-        self._axes_pad = axes_pad
-
+        _api.check_in_list(["each", "single", "edge", None],
+                           cbar_mode=cbar_mode)
+        _api.check_in_list(["left", "right", "bottom", "top"],
+                           cbar_location=cbar_location)
         self._colorbar_mode = cbar_mode
         self._colorbar_location = cbar_location
-        if cbar_pad is None:
-            # horizontal or vertical arrangement?
-            if cbar_location in ("left", "right"):
-                self._colorbar_pad = axes_pad[0]
-            else:
-                self._colorbar_pad = axes_pad[1]
-        else:
-            self._colorbar_pad = cbar_pad
-
+        self._colorbar_pad = cbar_pad
         self._colorbar_size = cbar_size
+        # The colorbar axes are created in _init_locators().
 
-        self._init_axes_pad(axes_pad)
-
-        if direction not in ["column", "row"]:
-            raise Exception("")
-
-        self._direction = direction
-
-        if axes_class is None:
-            axes_class = self._defaultLocatableAxesClass
-            axes_class_args = {}
-        else:
-            if isinstance(axes_class, maxes.Axes):
-                axes_class_args = {}
-            else:
-                axes_class, axes_class_args = axes_class
-
-        self.axes_all = []
-        self.axes_column = [[] for _ in range(self._ncols)]
-        self.axes_row = [[] for _ in range(self._nrows)]
-
-        self.cbar_axes = []
-
-        h = []
-        v = []
-        if cbook.is_string_like(rect) or cbook.is_numlike(rect):
-            self._divider = SubplotDivider(fig, rect, horizontal=h, vertical=v,
-                                           aspect=aspect)
-        elif isinstance(rect, SubplotSpec):
-            self._divider = SubplotDivider(fig, rect, horizontal=h, vertical=v,
-                                           aspect=aspect)
-        elif len(rect) == 3:
-            kw = dict(horizontal=h, vertical=v, aspect=aspect)
-            self._divider = SubplotDivider(fig, *rect, **kw)
-        elif len(rect) == 4:
-            self._divider = Divider(fig, rect, horizontal=h, vertical=v,
-                                    aspect=aspect)
-        else:
-            raise Exception("")
-
-        rect = self._divider.get_position()
-
-        # reference axes
-        self._column_refax = [None for _ in range(self._ncols)]
-        self._row_refax = [None for _ in range(self._nrows)]
-        self._refax = None
+        super().__init__(
+            fig, rect, nrows_ncols, n_axes,
+            direction=direction, axes_pad=axes_pad,
+            share_all=share_all, share_x=True, share_y=True, aspect=aspect,
+            label_mode=label_mode, axes_class=axes_class)
 
-        for i in range(self.ngrids):
-
-            col, row = self._get_col_row(i)
-
-            if share_all:
-                if self.axes_all:
-                    sharex = self.axes_all[0]
-                    sharey = self.axes_all[0]
-                else:
-                    sharex = None
-                    sharey = None
-            else:
-                sharex = self._column_refax[col]
-                sharey = self._row_refax[row]
-
-            ax = axes_class(fig, rect, sharex=sharex, sharey=sharey,
-                            **axes_class_args)
-
-            self.axes_all.append(ax)
-            self.axes_column[col].append(ax)
-            self.axes_row[row].append(ax)
-
-            if share_all:
-                if self._refax is None:
-                    self._refax = ax
-            if sharex is None:
-                self._column_refax[col] = ax
-            if sharey is None:
-                self._row_refax[row] = ax
-
-            cax = self._defaultCbarAxesClass(fig, rect,
-                                        orientation=self._colorbar_location)
-            self.cbar_axes.append(cax)
-
-        self.axes_llc = self.axes_column[0][-1]
-
-        self._update_locators()
-
-        if add_all:
-            for ax in self.axes_all+self.cbar_axes:
-                fig.add_axes(ax)
+        for ax in self.cbar_axes:
+            fig.add_axes(ax)
 
         if cbar_set_cax:
             if self._colorbar_mode == "single":
                 for ax in self.axes_all:
                     ax.cax = self.cbar_axes[0]
+            elif self._colorbar_mode == "edge":
+                for index, ax in enumerate(self.axes_all):
+                    col, row = self._get_col_row(index)
+                    if self._colorbar_location in ("left", "right"):
+                        ax.cax = self.cbar_axes[row]
+                    else:
+                        ax.cax = self.cbar_axes[col]
             else:
                 for ax, cax in zip(self.axes_all, self.cbar_axes):
                     ax.cax = cax
 
-        self.set_label_mode(label_mode)
+    def _init_locators(self):
+        # Slightly abusing this method to inject colorbar creation into init.
 
-    def _update_locators(self):
+        if self._colorbar_pad is None:
+            # horizontal or vertical arrangement?
+            if self._colorbar_location in ("left", "right"):
+                self._colorbar_pad = self._horiz_pad_size.fixed_size
+            else:
+                self._colorbar_pad = self._vert_pad_size.fixed_size
+        self.cbar_axes = [
+            _cbaraxes_class_factory(self._defaultAxesClass)(
+                self.axes_all[0].get_figure(root=False), self._divider.get_position(),
+                orientation=self._colorbar_location)
+            for _ in range(self.n_axes)]
+
+        cb_mode = self._colorbar_mode
+        cb_location = self._colorbar_location
 
         h = []
         v = []
 
         h_ax_pos = []
         h_cb_pos = []
-        if (self._colorbar_mode == "single" and
-             self._colorbar_location in ('left', 'bottom')):
-            if self._colorbar_location == "left":
-                #sz = Size.Fraction(Size.AxesX(self.axes_llc), self._nrows)
-                sz = Size.Fraction(self._nrows, Size.AxesX(self.axes_llc))
+        if cb_mode == "single" and cb_location in ("left", "bottom"):
+            if cb_location == "left":
+                sz = self._nrows * Size.AxesX(self.axes_llc)
                 h.append(Size.from_any(self._colorbar_size, sz))
                 h.append(Size.from_any(self._colorbar_pad, sz))
                 locator = self._divider.new_locator(nx=0, ny=0, ny1=-1)
-            elif self._colorbar_location == "bottom":
-                #sz = Size.Fraction(Size.AxesY(self.axes_llc), self._ncols)
-                sz = Size.Fraction(self._ncols, Size.AxesY(self.axes_llc))
+            elif cb_location == "bottom":
+                sz = self._ncols * Size.AxesY(self.axes_llc)
                 v.append(Size.from_any(self._colorbar_size, sz))
                 v.append(Size.from_any(self._colorbar_pad, sz))
                 locator = self._divider.new_locator(nx=0, nx1=-1, ny=0)
-            for i in range(self.ngrids):
+            for i in range(self.n_axes):
                 self.cbar_axes[i].set_visible(False)
             self.cbar_axes[0].set_axes_locator(locator)
             self.cbar_axes[0].set_visible(True)
 
         for col, ax in enumerate(self.axes_row[0]):
-            if h:
-                h.append(self._horiz_pad_size)  # Size.Fixed(self._axes_pad))
+            if col != 0:
+                h.append(self._horiz_pad_size)
 
             if ax:
                 sz = Size.AxesX(ax, aspect="axes", ref_ax=self.axes_all[0])
@@ -682,21 +449,19 @@ def _update_locators(self):
                 sz = Size.AxesX(self.axes_all[0],
                                 aspect="axes", ref_ax=self.axes_all[0])
 
-            if (self._colorbar_mode == "each" or
-                    (self._colorbar_mode == 'edge' and
-                        col == 0)) and self._colorbar_location == "left":
+            if (cb_location == "left"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and col == 0))):
                 h_cb_pos.append(len(h))
                 h.append(Size.from_any(self._colorbar_size, sz))
                 h.append(Size.from_any(self._colorbar_pad, sz))
 
             h_ax_pos.append(len(h))
-
             h.append(sz)
 
-            if ((self._colorbar_mode == "each" or
-                    (self._colorbar_mode == 'edge' and
-                        col == self._ncols - 1)) and
-                    self._colorbar_location == "right"):
+            if (cb_location == "right"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and col == self._ncols - 1))):
                 h.append(Size.from_any(self._colorbar_pad, sz))
                 h_cb_pos.append(len(h))
                 h.append(Size.from_any(self._colorbar_size, sz))
@@ -704,8 +469,8 @@ def _update_locators(self):
         v_ax_pos = []
         v_cb_pos = []
         for row, ax in enumerate(self.axes_column[0][::-1]):
-            if v:
-                v.append(self._vert_pad_size)  # Size.Fixed(self._axes_pad))
+            if row != 0:
+                v.append(self._vert_pad_size)
 
             if ax:
                 sz = Size.AxesY(ax, aspect="axes", ref_ax=self.axes_all[0])
@@ -713,9 +478,9 @@ def _update_locators(self):
                 sz = Size.AxesY(self.axes_all[0],
                                 aspect="axes", ref_ax=self.axes_all[0])
 
-            if (self._colorbar_mode == "each" or
-                    (self._colorbar_mode == 'edge' and
-                        row == 0)) and self._colorbar_location == "bottom":
+            if (cb_location == "bottom"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and row == 0))):
                 v_cb_pos.append(len(v))
                 v.append(Size.from_any(self._colorbar_size, sz))
                 v.append(Size.from_any(self._colorbar_pad, sz))
@@ -723,78 +488,71 @@ def _update_locators(self):
             v_ax_pos.append(len(v))
             v.append(sz)
 
-            if ((self._colorbar_mode == "each" or
-                    (self._colorbar_mode == 'edge' and
-                        row == self._nrows - 1)) and
-                        self._colorbar_location == "top"):
+            if (cb_location == "top"
+                    and (cb_mode == "each"
+                         or (cb_mode == "edge" and row == self._nrows - 1))):
                 v.append(Size.from_any(self._colorbar_pad, sz))
                 v_cb_pos.append(len(v))
                 v.append(Size.from_any(self._colorbar_size, sz))
 
-        for i in range(self.ngrids):
+        for i in range(self.n_axes):
             col, row = self._get_col_row(i)
-            #locator = self._divider.new_locator(nx=4*col,
-            #                                    ny=2*(self._nrows - row - 1))
             locator = self._divider.new_locator(nx=h_ax_pos[col],
                                                 ny=v_ax_pos[self._nrows-1-row])
             self.axes_all[i].set_axes_locator(locator)
 
-            if self._colorbar_mode == "each":
-                if self._colorbar_location in ("right", "left"):
+            if cb_mode == "each":
+                if cb_location in ("right", "left"):
                     locator = self._divider.new_locator(
                         nx=h_cb_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
 
-                elif self._colorbar_location in ("top", "bottom"):
+                elif cb_location in ("top", "bottom"):
                     locator = self._divider.new_locator(
                         nx=h_ax_pos[col], ny=v_cb_pos[self._nrows - 1 - row])
 
                 self.cbar_axes[i].set_axes_locator(locator)
-            elif self._colorbar_mode == 'edge':
-                if ((self._colorbar_location == 'left' and col == 0) or
-                        (self._colorbar_location == 'right'
-                         and col == self._ncols-1)):
+            elif cb_mode == "edge":
+                if (cb_location == "left" and col == 0
+                        or cb_location == "right" and col == self._ncols - 1):
                     locator = self._divider.new_locator(
-                        nx=h_cb_pos[0], ny=v_ax_pos[self._nrows -1 - row])
+                        nx=h_cb_pos[0], ny=v_ax_pos[self._nrows - 1 - row])
                     self.cbar_axes[row].set_axes_locator(locator)
-                elif ((self._colorbar_location == 'bottom' and
-                       row == self._nrows - 1) or
-                        (self._colorbar_location == 'top' and row == 0)):
+                elif (cb_location == "bottom" and row == self._nrows - 1
+                      or cb_location == "top" and row == 0):
                     locator = self._divider.new_locator(nx=h_ax_pos[col],
                                                         ny=v_cb_pos[0])
                     self.cbar_axes[col].set_axes_locator(locator)
 
-        if self._colorbar_mode == "single":
-            if self._colorbar_location == "right":
-                #sz = Size.Fraction(Size.AxesX(self.axes_llc), self._nrows)
-                sz = Size.Fraction(self._nrows, Size.AxesX(self.axes_llc))
+        if cb_mode == "single":
+            if cb_location == "right":
+                sz = self._nrows * Size.AxesX(self.axes_llc)
                 h.append(Size.from_any(self._colorbar_pad, sz))
                 h.append(Size.from_any(self._colorbar_size, sz))
                 locator = self._divider.new_locator(nx=-2, ny=0, ny1=-1)
-            elif self._colorbar_location == "top":
-                #sz = Size.Fraction(Size.AxesY(self.axes_llc), self._ncols)
-                sz = Size.Fraction(self._ncols, Size.AxesY(self.axes_llc))
+            elif cb_location == "top":
+                sz = self._ncols * Size.AxesY(self.axes_llc)
                 v.append(Size.from_any(self._colorbar_pad, sz))
                 v.append(Size.from_any(self._colorbar_size, sz))
                 locator = self._divider.new_locator(nx=0, nx1=-1, ny=-2)
-            if self._colorbar_location in ("right", "top"):
-                for i in range(self.ngrids):
+            if cb_location in ("right", "top"):
+                for i in range(self.n_axes):
                     self.cbar_axes[i].set_visible(False)
                 self.cbar_axes[0].set_axes_locator(locator)
                 self.cbar_axes[0].set_visible(True)
-        elif self._colorbar_mode == "each":
-            for i in range(self.ngrids):
+        elif cb_mode == "each":
+            for i in range(self.n_axes):
                 self.cbar_axes[i].set_visible(True)
-        elif self._colorbar_mode == "edge":
-            if self._colorbar_location in ('right', 'left'):
+        elif cb_mode == "edge":
+            if cb_location in ("right", "left"):
                 count = self._nrows
             else:
                 count = self._ncols
             for i in range(count):
                 self.cbar_axes[i].set_visible(True)
-            for j in range(i + 1, self.ngrids):
+            for j in range(i + 1, self.n_axes):
                 self.cbar_axes[j].set_visible(False)
         else:
-            for i in range(self.ngrids):
+            for i in range(self.n_axes):
                 self.cbar_axes[i].set_visible(False)
                 self.cbar_axes[i].set_position([1., 1., 0.001, 0.001],
                                                which="active")
@@ -804,95 +562,3 @@ def _update_locators(self):
 
 
 AxesGrid = ImageGrid
-
-#if __name__ == "__main__":
-if 0:
-    F = plt.figure(1, (7, 6))
-    F.clf()
-
-    F.subplots_adjust(left=0.15, right=0.9)
-
-    grid = Grid(F, 111,  # similar to subplot(111)
-                nrows_ncols=(2, 2),
-                direction="row",
-                axes_pad = 0.05,
-                add_all=True,
-                label_mode = "1",
-                )
-
-#if __name__ == "__main__":
-if 0:
-    from .axes_divider import get_demo_image
-    F = plt.figure(1, (9, 3.5))
-    F.clf()
-
-    F.subplots_adjust(left=0.05, right=0.98)
-
-    grid = ImageGrid(F, 131,  # similar to subplot(111)
-                     nrows_ncols=(2, 2),
-                     direction="row",
-                     axes_pad = 0.05,
-                     add_all=True,
-                     label_mode = "1",
-                     )
-
-    Z, extent = get_demo_image()
-    plt.ioff()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-
-    # This only affects axes in
-    # first column and second row as share_all = False.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-    plt.ion()
-
-    grid = ImageGrid(F, 132,  # similar to subplot(111)
-                     nrows_ncols=(2, 2),
-                     direction="row",
-                     axes_pad = 0.0,
-                     add_all=True,
-                     share_all=True,
-                     label_mode = "1",
-                     cbar_mode="single",
-                     )
-
-    Z, extent = get_demo_image()
-    plt.ioff()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-    plt.colorbar(im, cax=grid.cbar_axes[0])
-    plt.setp(grid.cbar_axes[0].get_yticklabels(), visible=False)
-
-    # This affects all axes as share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-    plt.ion()
-
-    grid = ImageGrid(F, 133,  # similar to subplot(122)
-                     nrows_ncols=(2, 2),
-                     direction="row",
-                     axes_pad = 0.1,
-                     add_all=True,
-                     label_mode = "1",
-                     share_all = True,
-                     cbar_location="top",
-                     cbar_mode="each",
-                     cbar_size="7%",
-                     cbar_pad="2%",
-                     )
-    plt.ioff()
-    for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
-        plt.colorbar(im, cax=grid.cbar_axes[i],
-                     orientation="horizontal")
-        grid.cbar_axes[i].xaxis.set_ticks_position("top")
-        plt.setp(grid.cbar_axes[i].get_xticklabels(), visible=False)
-
-    # This affects all axes as share_all = True.
-    grid.axes_llc.set_xticks([-2, 0, 2])
-    grid.axes_llc.set_yticks([-2, 0, 2])
-
-    plt.ion()
-    plt.draw()
diff --git a/lib/mpl_toolkits/axes_grid1/axes_rgb.py b/lib/mpl_toolkits/axes_grid1/axes_rgb.py
index d1f655851581..52fd707e8704 100644
--- a/lib/mpl_toolkits/axes_grid1/axes_rgb.py
+++ b/lib/mpl_toolkits/axes_grid1/axes_rgb.py
@@ -1,22 +1,32 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+from types import MethodType
 
 import numpy as np
-from .axes_divider import make_axes_locatable, Size, locatable_axes_factory
 
-def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True):
+from .axes_divider import make_axes_locatable, Size
+from .mpl_axes import Axes, SimpleAxisArtist
+
+
+def make_rgb_axes(ax, pad=0.01, axes_class=None, **kwargs):
     """
-    pad : fraction of the axes height.
+    Parameters
+    ----------
+    ax : `~matplotlib.axes.Axes`
+        Axes instance to create the RGB Axes in.
+    pad : float, optional
+        Fraction of the Axes height to pad.
+    axes_class : `matplotlib.axes.Axes` or None, optional
+        Axes class to use for the R, G, and B Axes. If None, use
+        the same class as *ax*.
+    **kwargs
+        Forwarded to *axes_class* init for the R, G, and B Axes.
     """
 
     divider = make_axes_locatable(ax)
 
-    pad_size = Size.Fraction(pad, Size.AxesY(ax))
+    pad_size = pad * Size.AxesY(ax)
 
-    xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
-    ysize = Size.Fraction((1.-2.*pad)/3., Size.AxesY(ax))
+    xsize = ((1-2*pad)/3) * Size.AxesX(ax)
+    ysize = ((1-2*pad)/3) * Size.AxesY(ax)
 
     divider.set_horizontal([Size.AxesX(ax), pad_size, xsize])
     divider.set_vertical([ysize, pad_size, ysize, pad_size, ysize])
@@ -25,15 +35,11 @@ def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True):
 
     ax_rgb = []
     if axes_class is None:
-        try:
-            axes_class = locatable_axes_factory(ax._axes_class)
-        except AttributeError:
-            axes_class = locatable_axes_factory(type(ax))
+        axes_class = type(ax)
 
     for ny in [4, 2, 0]:
-        ax1 = axes_class(ax.get_figure(),
-                         ax.get_position(original=True),
-                         sharex=ax, sharey=ax)
+        ax1 = axes_class(ax.get_figure(), ax.get_position(original=True),
+                         sharex=ax, sharey=ax, **kwargs)
         locator = divider.new_locator(nx=2, ny=ny)
         ax1.set_axes_locator(locator)
         for t in ax1.yaxis.get_ticklabels() + ax1.xaxis.get_ticklabels():
@@ -46,121 +52,106 @@ def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True):
 
         ax_rgb.append(ax1)
 
-    if add_all:
-        fig = ax.get_figure()
-        for ax1 in ax_rgb:
-            fig.add_axes(ax1)
+    fig = ax.get_figure()
+    for ax1 in ax_rgb:
+        fig.add_axes(ax1)
 
     return ax_rgb
 
-#import matplotlib.axes as maxes
-
-
-def imshow_rgb(ax, r, g, b, **kwargs):
-    ny, nx = r.shape
-    R = np.zeros([ny, nx, 3], dtype="d")
-    R[:,:,0] = r
-    G = np.zeros_like(R)
-    G[:,:,1] = g
-    B = np.zeros_like(R)
-    B[:,:,2] = b
-
-    RGB = R + G + B
-
-    im_rgb = ax.imshow(RGB, **kwargs)
-
-    return im_rgb
-
-
-from .mpl_axes import Axes
-
-class RGBAxesBase(object):
-
-    def __init__(self, *kl, **kwargs):
-        pad = kwargs.pop("pad", 0.0)
-        add_all = kwargs.pop("add_all", True)
-        axes_class = kwargs.pop("axes_class", None)
-
-
-
-
-        if axes_class is None:
-            axes_class = self._defaultAxesClass
-
-        ax = axes_class(*kl, **kwargs)
 
-        divider = make_axes_locatable(ax)
-
-        pad_size = Size.Fraction(pad, Size.AxesY(ax))
-
-        xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
-        ysize = Size.Fraction((1.-2.*pad)/3., Size.AxesY(ax))
-
-        divider.set_horizontal([Size.AxesX(ax), pad_size, xsize])
-        divider.set_vertical([ysize, pad_size, ysize, pad_size, ysize])
-
-        ax.set_axes_locator(divider.new_locator(0, 0, ny1=-1))
-
-        ax_rgb = []
-        for ny in [4, 2, 0]:
-            ax1 = axes_class(ax.get_figure(),
-                             ax.get_position(original=True),
-                             sharex=ax, sharey=ax, **kwargs)
-            locator = divider.new_locator(nx=2, ny=ny)
-            ax1.set_axes_locator(locator)
-            ax1.axis[:].toggle(ticklabels=False)
-            #for t in ax1.yaxis.get_ticklabels() + ax1.xaxis.get_ticklabels():
-            #    t.set_visible(False)
-            #if hasattr(ax1, "_axislines"):
-            #    for axisline in ax1._axislines.values():
-            #        axisline.major_ticklabels.set_visible(False)
-            ax_rgb.append(ax1)
-
-        self.RGB = ax
-        self.R, self.G, self.B = ax_rgb
-
-        if add_all:
-            fig = ax.get_figure()
-            fig.add_axes(ax)
-            self.add_RGB_to_figure()
+class RGBAxes:
+    """
+    4-panel `~.Axes.imshow` (RGB, R, G, B).
+
+    Layout::
+
+        ┌───────────────┬─────�
+        │               │  R  │
+        │               ├─────┤
+        │      RGB      │  G  │
+        │               ├─────┤
+        │               │  B  │
+        └───────────────┴─────┘
+
+    Subclasses can override the ``_defaultAxesClass`` attribute.
+    By default RGBAxes uses `.mpl_axes.Axes`.
+
+    Attributes
+    ----------
+    RGB : ``_defaultAxesClass``
+        The Axes object for the three-channel `~.Axes.imshow`.
+    R : ``_defaultAxesClass``
+        The Axes object for the red channel `~.Axes.imshow`.
+    G : ``_defaultAxesClass``
+        The Axes object for the green channel `~.Axes.imshow`.
+    B : ``_defaultAxesClass``
+        The Axes object for the blue channel `~.Axes.imshow`.
+    """
 
-        self._config_axes()
+    _defaultAxesClass = Axes
 
-    def _config_axes(self):
+    def __init__(self, *args, pad=0, **kwargs):
+        """
+        Parameters
+        ----------
+        pad : float, default: 0
+            Fraction of the Axes height to put as padding.
+        axes_class : `~matplotlib.axes.Axes`
+            Axes class to use. If not provided, ``_defaultAxesClass`` is used.
+        *args
+            Forwarded to *axes_class* init for the RGB Axes
+        **kwargs
+            Forwarded to *axes_class* init for the RGB, R, G, and B Axes
+        """
+        axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
+        self.RGB = ax = axes_class(*args, **kwargs)
+        ax.get_figure().add_axes(ax)
+        self.R, self.G, self.B = make_rgb_axes(
+            ax, pad=pad, axes_class=axes_class, **kwargs)
+        # Set the line color and ticks for the axes.
         for ax1 in [self.RGB, self.R, self.G, self.B]:
-            #for sp1 in ax1.spines.values():
-            #    sp1.set_color("w")
-            ax1.axis[:].line.set_color("w")
-            ax1.axis[:].major_ticks.set_mec("w")
-            # for tick in ax1.xaxis.get_major_ticks() + ax1.yaxis.get_major_ticks():
-            #     tick.tick1line.set_mec("w")
-            #     tick.tick2line.set_mec("w")
-
-
-
-    def add_RGB_to_figure(self):
-        self.RGB.get_figure().add_axes(self.R)
-        self.RGB.get_figure().add_axes(self.G)
-        self.RGB.get_figure().add_axes(self.B)
+            if isinstance(ax1.axis, MethodType):
+                ad = Axes.AxisDict(self)
+                ad.update(
+                    bottom=SimpleAxisArtist(ax1.xaxis, 1, ax1.spines["bottom"]),
+                    top=SimpleAxisArtist(ax1.xaxis, 2, ax1.spines["top"]),
+                    left=SimpleAxisArtist(ax1.yaxis, 1, ax1.spines["left"]),
+                    right=SimpleAxisArtist(ax1.yaxis, 2, ax1.spines["right"]))
+            else:
+                ad = ax1.axis
+            ad[:].line.set_color("w")
+            ad[:].major_ticks.set_markeredgecolor("w")
 
     def imshow_rgb(self, r, g, b, **kwargs):
-        ny, nx = r.shape
-        R = np.zeros([ny, nx, 3], dtype="d")
-        R[:,:,0] = r
-        G = np.zeros_like(R)
-        G[:,:,1] = g
-        B = np.zeros_like(R)
-        B[:,:,2] = b
-
-        RGB = R + G + B
-
+        """
+        Create the four images {rgb, r, g, b}.
+
+        Parameters
+        ----------
+        r, g, b : array-like
+            The red, green, and blue arrays.
+        **kwargs
+            Forwarded to `~.Axes.imshow` calls for the four images.
+
+        Returns
+        -------
+        rgb : `~matplotlib.image.AxesImage`
+        r : `~matplotlib.image.AxesImage`
+        g : `~matplotlib.image.AxesImage`
+        b : `~matplotlib.image.AxesImage`
+        """
+        if not (r.shape == g.shape == b.shape):
+            raise ValueError(
+                f'Input shapes ({r.shape}, {g.shape}, {b.shape}) do not match')
+        RGB = np.dstack([r, g, b])
+        R = np.zeros_like(RGB)
+        R[:, :, 0] = r
+        G = np.zeros_like(RGB)
+        G[:, :, 1] = g
+        B = np.zeros_like(RGB)
+        B[:, :, 2] = b
         im_rgb = self.RGB.imshow(RGB, **kwargs)
         im_r = self.R.imshow(R, **kwargs)
         im_g = self.G.imshow(G, **kwargs)
         im_b = self.B.imshow(B, **kwargs)
-
         return im_rgb, im_r, im_g, im_b
-
-
-class RGBAxes(RGBAxesBase):
-    _defaultAxesClass = Axes
diff --git a/lib/mpl_toolkits/axes_grid1/axes_size.py b/lib/mpl_toolkits/axes_grid1/axes_size.py
index 147a34e25838..55820827cd6a 100644
--- a/lib/mpl_toolkits/axes_grid1/axes_size.py
+++ b/lib/mpl_toolkits/axes_grid1/axes_size.py
@@ -1,40 +1,65 @@
-
 """
-provides a classes of simple units that will be used with AxesDivider
-class (or others) to determine the size of each axes. The unit
-classes define `get_size` method that returns a tuple of two floats,
+Provides classes of simple units that will be used with `.AxesDivider`
+class (or others) to determine the size of each Axes. The unit
+classes define `!get_size` method that returns a tuple of two floats,
 meaning relative and absolute sizes, respectively.
 
 Note that this class is nothing more than a simple tuple of two
 floats. Take a look at the Divider class to see how these two
 values are used.
 
+Once created, the unit classes can be modified by simple arithmetic
+operations: addition /subtraction with another unit type or a real number and scaling
+(multiplication or division) by a real number.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+from numbers import Real
 
-import matplotlib.cbook as cbook
+from matplotlib import _api
 from matplotlib.axes import Axes
 
-class _Base(object):
-    "Base class"
 
+class _Base:
     def __rmul__(self, other):
-        float(other) # just to check if number if given
+        return self * other
+
+    def __mul__(self, other):
+        if not isinstance(other, Real):
+            return NotImplemented
         return Fraction(other, self)
 
+    def __div__(self, other):
+        return (1 / other) * self
+
     def __add__(self, other):
         if isinstance(other, _Base):
             return Add(self, other)
         else:
-            float(other)
-            other = Fixed(other)
-            return Add(self, other)
+            return Add(self, Fixed(other))
+
+    def __neg__(self):
+        return -1 * self
+
+    def __radd__(self, other):
+        # other cannot be a _Base instance, because A + B would trigger
+        # A.__add__(B) first.
+        return Add(self, Fixed(other))
+
+    def __sub__(self, other):
+        return self + (-other)
+
+    def get_size(self, renderer):
+        """
+        Return two-float tuple with relative and absolute sizes.
+        """
+        raise NotImplementedError("Subclasses must implement")
 
 
 class Add(_Base):
+    """
+    Sum of two sizes.
+    """
+
     def __init__(self, a, b):
         self._a = a
         self._b = b
@@ -44,19 +69,14 @@ def get_size(self, renderer):
         b_rel_size, b_abs_size = self._b.get_size(renderer)
         return a_rel_size + b_rel_size, a_abs_size + b_abs_size
 
-class AddList(_Base):
-    def __init__(self, add_list):
-        self._list = add_list
-
-    def get_size(self, renderer):
-        sum_rel_size = sum([a.get_size(renderer)[0] for a in self._list])
-        sum_abs_size = sum([a.get_size(renderer)[1] for a in self._list])
-        return sum_rel_size, sum_abs_size
-
 
 class Fixed(_Base):
-    "Simple fixed size  with absolute part = *fixed_size* and relative part = 0"
+    """
+    Simple fixed size with absolute part = *fixed_size* and relative part = 0.
+    """
+
     def __init__(self, fixed_size):
+        _api.check_isinstance(Real, fixed_size=fixed_size)
         self.fixed_size = fixed_size
 
     def get_size(self, renderer):
@@ -66,7 +86,11 @@ def get_size(self, renderer):
 
 
 class Scaled(_Base):
-    "Simple scaled(?) size with absolute part = 0 and relative part = *scalable_size*"
+    """
+    Simple scaled(?) size with absolute part = 0 and
+    relative part = *scalable_size*.
+    """
+
     def __init__(self, scalable_size):
         self._scalable_size = scalable_size
 
@@ -75,25 +99,22 @@ def get_size(self, renderer):
         abs_size = 0.
         return rel_size, abs_size
 
-Scalable=Scaled
+Scalable = Scaled
+
 
 def _get_axes_aspect(ax):
     aspect = ax.get_aspect()
-    # when aspec is "auto", consider it as 1.
-    if aspect in ('normal', 'auto'):
+    if aspect == "auto":
         aspect = 1.
-    elif aspect == "equal":
-        aspect = 1
-    else:
-        aspect = float(aspect)
-
     return aspect
 
+
 class AxesX(_Base):
     """
     Scaled size whose relative part corresponds to the data width
     of the *axes* multiplied by the *aspect*.
     """
+
     def __init__(self, axes, aspect=1., ref_ax=None):
         self._axes = axes
         self._aspect = aspect
@@ -105,7 +126,7 @@ def get_size(self, renderer):
         l1, l2 = self._axes.get_xlim()
         if self._aspect == "axes":
             ref_aspect = _get_axes_aspect(self._ref_ax)
-            aspect = ref_aspect/_get_axes_aspect(self._axes)
+            aspect = ref_aspect / _get_axes_aspect(self._axes)
         else:
             aspect = self._aspect
 
@@ -113,11 +134,13 @@ def get_size(self, renderer):
         abs_size = 0.
         return rel_size, abs_size
 
+
 class AxesY(_Base):
     """
     Scaled size whose relative part corresponds to the data height
     of the *axes* multiplied by the *aspect*.
     """
+
     def __init__(self, axes, aspect=1., ref_ax=None):
         self._axes = axes
         self._aspect = aspect
@@ -141,15 +164,13 @@ def get_size(self, renderer):
 
 class MaxExtent(_Base):
     """
-    Size whose absolute part is the largest width (or height) of
-    the given *artist_list*.
+    Size whose absolute part is either the largest width or the largest height
+    of the given *artist_list*.
     """
+
     def __init__(self, artist_list, w_or_h):
         self._artist_list = artist_list
-
-        if w_or_h not in ["width", "height"]:
-            raise ValueError()
-
+        _api.check_in_list(["width", "height"], w_or_h=w_or_h)
         self._w_or_h = w_or_h
 
     def add_artist(self, a):
@@ -157,76 +178,40 @@ def add_artist(self, a):
 
     def get_size(self, renderer):
         rel_size = 0.
-        w_list, h_list = [], []
-        for a in self._artist_list:
-            bb = a.get_window_extent(renderer)
-            w_list.append(bb.width)
-            h_list.append(bb.height)
-        dpi = a.get_figure().get_dpi()
-        if self._w_or_h == "width":
-            abs_size = max(w_list)/dpi
-        elif self._w_or_h == "height":
-            abs_size = max(h_list)/dpi
-
+        extent_list = [
+            getattr(a.get_window_extent(renderer), self._w_or_h) / a.figure.dpi
+            for a in self._artist_list]
+        abs_size = max(extent_list, default=0)
         return rel_size, abs_size
 
 
-class MaxWidth(_Base):
+class MaxWidth(MaxExtent):
     """
-    Size whose absolute part is the largest width of
-    the given *artist_list*.
+    Size whose absolute part is the largest width of the given *artist_list*.
     """
-    def __init__(self, artist_list):
-        self._artist_list = artist_list
-
-    def add_artist(self, a):
-        self._artist_list.append(a)
-
-    def get_size(self, renderer):
-        rel_size = 0.
-        w_list = []
-        for a in self._artist_list:
-            bb = a.get_window_extent(renderer)
-            w_list.append(bb.width)
-        dpi = a.get_figure().get_dpi()
-        abs_size = max(w_list)/dpi
-
-        return rel_size, abs_size
 
+    def __init__(self, artist_list):
+        super().__init__(artist_list, "width")
 
 
-class MaxHeight(_Base):
+class MaxHeight(MaxExtent):
     """
-    Size whose absolute part is the largest height of
-    the given *artist_list*.
+    Size whose absolute part is the largest height of the given *artist_list*.
     """
-    def __init__(self, artist_list):
-        self._artist_list = artist_list
-
-    def add_artist(self, a):
-        self._artist_list.append(a)
-
-    def get_size(self, renderer):
-        rel_size = 0.
-        h_list = []
-        for a in self._artist_list:
-            bb = a.get_window_extent(renderer)
-            h_list.append(bb.height)
-        dpi = a.get_figure().get_dpi()
-        abs_size = max(h_list)/dpi
 
-        return rel_size, abs_size
+    def __init__(self, artist_list):
+        super().__init__(artist_list, "height")
 
 
 class Fraction(_Base):
     """
     An instance whose size is a *fraction* of the *ref_size*.
-    ::
-
-      >>> s = Fraction(0.3, AxesX(ax))
 
+    >>> s = Fraction(0.3, AxesX(ax))
     """
+
     def __init__(self, fraction, ref_size):
+        _api.check_isinstance(Real, fraction=fraction)
         self._fraction_ref = ref_size
         self._fraction = fraction
 
@@ -239,85 +224,48 @@ def get_size(self, renderer):
             abs_size = a*self._fraction
             return rel_size, abs_size
 
-class Padded(_Base):
-    """
-    Return a instance where the absolute part of *size* is
-    increase by the amount of *pad*.
-    """
-    def __init__(self, size, pad):
-        self._size = size
-        self._pad = pad
-
-    def get_size(self, renderer):
-        r, a = self._size.get_size(renderer)
-        rel_size = r
-        abs_size = a + self._pad
-        return rel_size, abs_size
 
 def from_any(size, fraction_ref=None):
     """
-    Creates Fixed unit when the first argument is a float, or a
+    Create a Fixed unit when the first argument is a float, or a
     Fraction unit if that is a string that ends with %. The second
-    argument is only meaningful when Fraction unit is created.::
-
-      >>> a = Size.from_any(1.2) # => Size.Fixed(1.2)
-      >>> Size.from_any("50%", a) # => Size.Fraction(0.5, a)
+    argument is only meaningful when Fraction unit is created.
 
+    >>> from mpl_toolkits.axes_grid1.axes_size import from_any
+    >>> a = from_any(1.2) # => Fixed(1.2)
+    >>> from_any("50%", a) # => Fraction(0.5, a)
     """
-    if cbook.is_numlike(size):
+    if isinstance(size, Real):
         return Fixed(size)
-    elif cbook.is_string_like(size):
+    elif isinstance(size, str):
         if size[-1] == "%":
-            return Fraction(float(size[:-1])/100., fraction_ref)
-
+            return Fraction(float(size[:-1]) / 100, fraction_ref)
     raise ValueError("Unknown format")
 
 
-class SizeFromFunc(_Base):
-    def __init__(self, func):
-        self._func = func
-
-    def get_size(self, renderer):
-        rel_size = 0.
-
-        bb = self._func(renderer)
-        dpi = renderer.points_to_pixels(72.)
-        abs_size = bb/dpi
-
-        return rel_size, abs_size
-
-class GetExtentHelper(object):
-    def _get_left(tight_bbox, axes_bbox):
-        return axes_bbox.xmin - tight_bbox.xmin
-
-    def _get_right(tight_bbox, axes_bbox):
-        return tight_bbox.xmax - axes_bbox.xmax
-
-    def _get_bottom(tight_bbox, axes_bbox):
-        return axes_bbox.ymin - tight_bbox.ymin
-
-    def _get_top(tight_bbox, axes_bbox):
-        return tight_bbox.ymax - axes_bbox.ymax
-
-    _get_func_map = dict(left=_get_left,
-                         right=_get_right,
-                         bottom=_get_bottom,
-                         top=_get_top)
+class _AxesDecorationsSize(_Base):
+    """
+    Fixed size, corresponding to the size of decorations on a given Axes side.
+    """
 
-    del _get_left, _get_right, _get_bottom, _get_top
+    _get_size_map = {
+        "left":   lambda tight_bb, axes_bb: axes_bb.xmin - tight_bb.xmin,
+        "right":  lambda tight_bb, axes_bb: tight_bb.xmax - axes_bb.xmax,
+        "bottom": lambda tight_bb, axes_bb: axes_bb.ymin - tight_bb.ymin,
+        "top":    lambda tight_bb, axes_bb: tight_bb.ymax - axes_bb.ymax,
+    }
 
     def __init__(self, ax, direction):
-        if isinstance(ax, Axes):
-            self._ax_list = [ax]
-        else:
-            self._ax_list = ax
-
-        try:
-            self._get_func = self._get_func_map[direction]
-        except KeyError:
-            raise KeyError("direction must be one of left, right, bottom, top")
+        _api.check_in_list(self._get_size_map, direction=direction)
+        self._direction = direction
+        self._ax_list = [ax] if isinstance(ax, Axes) else ax
 
-    def __call__(self, renderer):
-        vl = [self._get_func(ax.get_tightbbox(renderer, False),
-                             ax.bbox) for ax in self._ax_list]
-        return max(vl)
+    def get_size(self, renderer):
+        sz = max([
+            self._get_size_map[self._direction](
+                ax.get_tightbbox(renderer, call_axes_locator=False), ax.bbox)
+            for ax in self._ax_list])
+        dpi = renderer.points_to_pixels(72)
+        abs_size = sz / dpi
+        rel_size = 0
+        return rel_size, abs_size
diff --git a/lib/mpl_toolkits/axes_grid1/colorbar.py b/lib/mpl_toolkits/axes_grid1/colorbar.py
deleted file mode 100644
index 97cd6cb1dc57..000000000000
--- a/lib/mpl_toolkits/axes_grid1/colorbar.py
+++ /dev/null
@@ -1,835 +0,0 @@
-'''
-Colorbar toolkit with two classes and a function:
-
-    :class:`ColorbarBase`
-        the base class with full colorbar drawing functionality.
-        It can be used as-is to make a colorbar for a given colormap;
-        a mappable object (e.g., image) is not needed.
-
-    :class:`Colorbar`
-        the derived class for use with images or contour plots.
-
-    :func:`make_axes`
-        a function for resizing an axes and adding a second axes
-        suitable for a colorbar
-
-The :meth:`~matplotlib.figure.Figure.colorbar` method uses :func:`make_axes`
-and :class:`Colorbar`; the :func:`~matplotlib.pyplot.colorbar` function
-is a thin wrapper over :meth:`~matplotlib.figure.Figure.colorbar`.
-
-'''
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import numpy as np
-import matplotlib as mpl
-import matplotlib.colors as colors
-import matplotlib.cm as cm
-from matplotlib import docstring
-import matplotlib.ticker as ticker
-import matplotlib.cbook as cbook
-import matplotlib.collections as collections
-import matplotlib.contour as contour
-from matplotlib.path import Path
-from matplotlib.patches import PathPatch
-from matplotlib.transforms import Bbox
-
-
-make_axes_kw_doc = '''
-
-    ============= ====================================================
-    Property      Description
-    ============= ====================================================
-    *orientation* vertical or horizontal
-    *fraction*    0.15; fraction of original axes to use for colorbar
-    *pad*         0.05 if vertical, 0.15 if horizontal; fraction
-                  of original axes between colorbar and new image axes
-    *shrink*      1.0; fraction by which to shrink the colorbar
-    *aspect*      20; ratio of long to short dimensions
-    ============= ====================================================
-
-'''
-
-colormap_kw_doc = '''
-
-    ===========   ====================================================
-    Property      Description
-    ===========   ====================================================
-    *extend*      [ 'neither' | 'both' | 'min' | 'max' ]
-                  If not 'neither', make pointed end(s) for out-of-
-                  range values.  These are set for a given colormap
-                  using the colormap set_under and set_over methods.
-    *spacing*     [ 'uniform' | 'proportional' ]
-                  Uniform spacing gives each discrete color the same
-                  space; proportional makes the space proportional to
-                  the data interval.
-    *ticks*       [ None | list of ticks | Locator object ]
-                  If None, ticks are determined automatically from the
-                  input.
-    *format*      [ None | format string | Formatter object ]
-                  If None, the
-                  :class:`~matplotlib.ticker.ScalarFormatter` is used.
-                  If a format string is given, e.g., '%.3f', that is
-                  used. An alternative
-                  :class:`~matplotlib.ticker.Formatter` object may be
-                  given instead.
-    *drawedges*   [ False | True ] If true, draw lines at color
-                  boundaries.
-    ===========   ====================================================
-
-    The following will probably be useful only in the context of
-    indexed colors (that is, when the mappable has norm=NoNorm()),
-    or other unusual circumstances.
-
-    ============   ===================================================
-    Property       Description
-    ============   ===================================================
-    *boundaries*   None or a sequence
-    *values*       None or a sequence which must be of length 1 less
-                   than the sequence of *boundaries*. For each region
-                   delimited by adjacent entries in *boundaries*, the
-                   color mapped to the corresponding value in values
-                   will be used.
-    ============   ===================================================
-
-'''
-
-colorbar_doc = '''
-
-Add a colorbar to a plot.
-
-Function signatures for the :mod:`~matplotlib.pyplot` interface; all
-but the first are also method signatures for the
-:meth:`~matplotlib.figure.Figure.colorbar` method::
-
-  colorbar(**kwargs)
-  colorbar(mappable, **kwargs)
-  colorbar(mappable, cax=cax, **kwargs)
-  colorbar(mappable, ax=ax, **kwargs)
-
-arguments:
-
-  *mappable*
-    the :class:`~matplotlib.image.Image`,
-    :class:`~matplotlib.contour.ContourSet`, etc. to
-    which the colorbar applies; this argument is mandatory for the
-    :meth:`~matplotlib.figure.Figure.colorbar` method but optional for the
-    :func:`~matplotlib.pyplot.colorbar` function, which sets the
-    default to the current image.
-
-keyword arguments:
-
-  *cax*
-    None | axes object into which the colorbar will be drawn
-  *ax*
-    None | parent axes object from which space for a new
-    colorbar axes will be stolen
-
-
-Additional keyword arguments are of two kinds:
-
-  axes properties:
-%s
-  colorbar properties:
-%s
-
-If *mappable* is a :class:`~matplotlib.contours.ContourSet`, its *extend*
-kwarg is included automatically.
-
-Note that the *shrink* kwarg provides a simple way to keep a vertical
-colorbar, for example, from being taller than the axes of the mappable
-to which the colorbar is attached; but it is a manual method requiring
-some trial and error. If the colorbar is too tall (or a horizontal
-colorbar is too wide) use a smaller value of *shrink*.
-
-For more precise control, you can manually specify the positions of
-the axes objects in which the mappable and the colorbar are drawn.  In
-this case, do not use any of the axes properties kwargs.
-
-It is known that some vector graphics viewer (svg and pdf) renders white gaps
-between segments of the colorbar. This is due to bugs in the viewers not
-matplotlib. As a workaround the colorbar can be rendered with overlapping
-segments::
-
-    cbar = colorbar()
-    cbar.solids.set_edgecolor("face")
-    draw()
-
-However this has negative consequences in other circumstances. Particularly with
-semi transparent images (alpha < 1) and colorbar extensions and is not enabled
-by default see (issue #1188).
-
-returns:
-    :class:`~matplotlib.colorbar.Colorbar` instance; see also its base class,
-    :class:`~matplotlib.colorbar.ColorbarBase`.  Call the
-    :meth:`~matplotlib.colorbar.ColorbarBase.set_label` method
-    to label the colorbar.
-
-
-The transData of the *cax* is adjusted so that the limits in the
-longest axis actually corresponds to the limits in colorbar range. On
-the other hand, the shortest axis has a data limits of [1,2], whose
-unconventional value is to prevent underflow when log scale is used.
-''' % (make_axes_kw_doc, colormap_kw_doc)
-
-docstring.interpd.update(colorbar_doc=colorbar_doc)
-
-
-class CbarAxesLocator(object):
-    """
-    CbarAxesLocator is a axes_locator for colorbar axes. It adjust the
-    position of the axes to make a room for extended ends, i.e., the
-    extended ends are located outside the axes area.
-    """
-
-    def __init__(self, locator=None, extend="neither", orientation="vertical"):
-        """
-        *locator* : the bbox returned from the locator is used as a
-            initial axes location. If None, axes.bbox is used.
-
-        *extend* : same as in ColorbarBase
-        *orientation* : same as in ColorbarBase
-
-        """
-        self._locator = locator
-        self.extesion_fraction = 0.05
-        self.extend = extend
-        self.orientation = orientation
-
-    def get_original_position(self, axes, renderer):
-        """
-        get the original position of the axes.
-        """
-        if self._locator is None:
-            bbox = axes.get_position(original=True)
-        else:
-            bbox = self._locator(axes, renderer)
-        return bbox
-
-    def get_end_vertices(self):
-        """
-        return a tuple of two vertices for the colorbar extended ends.
-        The first vertices is for the minimum end, and the second is for
-        the maximum end.
-        """
-        # Note that concatenating two vertices needs to make a
-        # vertices for the frame.
-        extesion_fraction = self.extesion_fraction
-
-        corx = extesion_fraction*2.
-        cory = 1./(1. - corx)
-        x1, y1, w, h = 0, 0, 1, 1
-        x2, y2 = x1 + w, y1 + h
-        dw, dh = w*extesion_fraction, h*extesion_fraction*cory
-
-        if self.extend in ["min", "both"]:
-            bottom = [(x1, y1),
-                      (x1+w/2., y1-dh),
-                      (x2, y1)]
-        else:
-            bottom = [(x1, y1),
-                      (x2, y1)]
-
-        if self.extend in ["max", "both"]:
-            top = [(x2, y2),
-                   (x1+w/2., y2+dh),
-                   (x1, y2)]
-        else:
-            top = [(x2, y2),
-                   (x1, y2)]
-
-        if self.orientation == "horizontal":
-            bottom = [(y,x) for (x,y) in bottom]
-            top = [(y,x) for (x,y) in top]
-
-        return bottom, top
-
-
-    def get_path_patch(self):
-        """
-        get the path for axes patch
-        """
-        end1, end2 = self.get_end_vertices()
-
-        verts = [] + end1 + end2 + end1[:1]
-
-        return Path(verts)
-
-
-    def get_path_ends(self):
-        """
-        get the paths for extended ends
-        """
-
-        end1, end2 = self.get_end_vertices()
-
-        return Path(end1), Path(end2)
-
-
-    def __call__(self, axes, renderer):
-        """
-        Return the adjusted position of the axes
-        """
-        bbox0 = self.get_original_position(axes, renderer)
-        bbox = bbox0
-
-        x1, y1, w, h = bbox.bounds
-        extesion_fraction = self.extesion_fraction
-        dw, dh = w*extesion_fraction, h*extesion_fraction
-
-        if self.extend in ["min", "both"]:
-            if self.orientation == "horizontal":
-                x1 = x1 + dw
-            else:
-                y1 = y1+dh
-
-        if self.extend in ["max", "both"]:
-            if self.orientation == "horizontal":
-                w = w-2*dw
-            else:
-                h = h-2*dh
-
-        return Bbox.from_bounds(x1, y1, w, h)
-
-
-
-class ColorbarBase(cm.ScalarMappable):
-    '''
-    Draw a colorbar in an existing axes.
-
-    This is a base class for the :class:`Colorbar` class, which is the
-    basis for the :func:`~matplotlib.pyplot.colorbar` method and pylab
-    function.
-
-    It is also useful by itself for showing a colormap.  If the *cmap*
-    kwarg is given but *boundaries* and *values* are left as None,
-    then the colormap will be displayed on a 0-1 scale. To show the
-    under- and over-value colors, specify the *norm* as::
-
-        colors.Normalize(clip=False)
-
-    To show the colors versus index instead of on the 0-1 scale,
-    use::
-
-        norm=colors.NoNorm.
-
-    Useful attributes:
-
-        :attr:`ax`
-            the Axes instance in which the colorbar is drawn
-
-        :attr:`lines`
-            a LineCollection if lines were drawn, otherwise None
-
-        :attr:`dividers`
-            a LineCollection if *drawedges* is True, otherwise None
-
-    Useful public methods are :meth:`set_label` and :meth:`add_lines`.
-
-    '''
-
-    def __init__(self, ax, cmap=None,
-                           norm=None,
-                           alpha=1.0,
-                           values=None,
-                           boundaries=None,
-                           orientation='vertical',
-                           extend='neither',
-                           spacing='uniform',  # uniform or proportional
-                           ticks=None,
-                           format=None,
-                           drawedges=False,
-                           filled=True,
-                           ):
-        self.ax = ax
-
-        if cmap is None: cmap = cm.get_cmap()
-        if norm is None: norm = colors.Normalize()
-        self.alpha = alpha
-        cm.ScalarMappable.__init__(self, cmap=cmap, norm=norm)
-        self.values = values
-        self.boundaries = boundaries
-        self.extend = extend
-        self.spacing = spacing
-        self.orientation = orientation
-        self.drawedges = drawedges
-        self.filled = filled
-
-        # artists
-        self.solids = None
-        self.lines = None
-        self.dividers = None
-        self.extension_patch1 = None
-        self.extension_patch2 = None
-
-        if orientation == "vertical":
-            self.cbar_axis = self.ax.yaxis
-        else:
-            self.cbar_axis = self.ax.xaxis
-
-
-        if format is None:
-            if isinstance(self.norm, colors.LogNorm):
-                # change both axis for proper aspect
-                self.ax.xaxis.set_scale("log")
-                self.ax.yaxis.set_scale("log")
-                self.ax._update_transScale()
-                self.cbar_axis.set_minor_locator(ticker.NullLocator())
-                formatter = ticker.LogFormatter()
-            else:
-                formatter = None
-        elif cbook.is_string_like(format):
-            formatter = ticker.FormatStrFormatter(format)
-        else:
-            formatter = format  # Assume it is a Formatter
-
-        if formatter is None:
-            formatter = self.cbar_axis.get_major_formatter()
-        else:
-            self.cbar_axis.set_major_formatter(formatter)
-
-        if cbook.iterable(ticks):
-            self.cbar_axis.set_ticks(ticks)
-        elif ticks is not None:
-            self.cbar_axis.set_major_locator(ticks)
-        else:
-            self._select_locator(formatter)
-
-
-        self._config_axes()
-
-        self.update_artists()
-
-        self.set_label_text('')
-
-
-    def _get_colorbar_limits(self):
-        """
-        initial limits for colorbar range. The returned min, max values
-        will be used to create colorbar solid(?) and etc.
-        """
-        if self.boundaries is not None:
-            C = self.boundaries
-            if self.extend in ["min", "both"]:
-                C = C[1:]
-
-            if self.extend in ["max", "both"]:
-                C = C[:-1]
-            return min(C), max(C)
-        else:
-            return self.get_clim()
-
-
-    def _config_axes(self):
-        '''
-        Adjust the properties of the axes to be adequate for colorbar display.
-        '''
-        ax = self.ax
-
-        axes_locator = CbarAxesLocator(ax.get_axes_locator(),
-                                       extend=self.extend,
-                                       orientation=self.orientation)
-        ax.set_axes_locator(axes_locator)
-
-        # override the get_data_ratio for the aspect works.
-        def _f():
-            return 1.
-        ax.get_data_ratio = _f
-        ax.get_data_ratio_log = _f
-
-        ax.set_frame_on(True)
-        ax.set_navigate(False)
-
-        self.ax.set_autoscalex_on(False)
-        self.ax.set_autoscaley_on(False)
-
-        if self.orientation == 'horizontal':
-            ax.xaxis.set_label_position('bottom')
-            ax.set_yticks([])
-        else:
-            ax.set_xticks([])
-            ax.yaxis.set_label_position('right')
-            ax.yaxis.set_ticks_position('right')
-
-
-
-    def update_artists(self):
-        """
-        Update the colorbar associated artists, *filled* and
-        *ends*. Note that *lines* are not updated.  This needs to be
-        called whenever clim of associated image changes.
-        """
-        self._process_values()
-        self._add_ends()
-
-        X, Y = self._mesh()
-        if self.filled:
-            C = self._values[:,np.newaxis]
-            self._add_solids(X, Y, C)
-
-        ax = self.ax
-        vmin, vmax = self._get_colorbar_limits()
-        if self.orientation == 'horizontal':
-            ax.set_ylim(1, 2)
-            ax.set_xlim(vmin, vmax)
-        else:
-            ax.set_xlim(1, 2)
-            ax.set_ylim(vmin, vmax)
-
-
-    def _add_ends(self):
-        """
-        Create patches from extended ends and add them to the axes.
-        """
-
-        del self.extension_patch1
-        del self.extension_patch2
-
-        path1, path2 = self.ax.get_axes_locator().get_path_ends()
-        fc=mpl.rcParams['axes.facecolor']
-        ec=mpl.rcParams['axes.edgecolor']
-        linewidths=0.5*mpl.rcParams['axes.linewidth']
-        self.extension_patch1 = PathPatch(path1,
-                                          fc=fc, ec=ec, lw=linewidths,
-                                          zorder=2.,
-                                          transform=self.ax.transAxes,
-                                          clip_on=False)
-        self.extension_patch2 = PathPatch(path2,
-                                          fc=fc, ec=ec, lw=linewidths,
-                                          zorder=2.,
-                                          transform=self.ax.transAxes,
-                                          clip_on=False)
-        self.ax.add_artist(self.extension_patch1)
-        self.ax.add_artist(self.extension_patch2)
-
-
-
-    def _set_label_text(self):
-        """
-        set label.
-        """
-        self.cbar_axis.set_label_text(self._label, **self._labelkw)
-
-    def set_label_text(self, label, **kw):
-        '''
-        Label the long axis of the colorbar
-        '''
-        self._label = label
-        self._labelkw = kw
-        self._set_label_text()
-
-
-    def _edges(self, X, Y):
-        '''
-        Return the separator line segments; helper for _add_solids.
-        '''
-        N = X.shape[0]
-        # Using the non-array form of these line segments is much
-        # simpler than making them into arrays.
-        if self.orientation == 'vertical':
-            return [list(zip(X[i], Y[i])) for i in xrange(1, N-1)]
-        else:
-            return [list(zip(Y[i], X[i])) for i in xrange(1, N-1)]
-
-    def _add_solids(self, X, Y, C):
-        '''
-        Draw the colors using :meth:`~matplotlib.axes.Axes.pcolormesh`;
-        optionally add separators.
-        '''
-        ## Change to pcolorfast after fixing bugs in some backends...
-
-        if self.extend in ["min", "both"]:
-            cc = self.to_rgba([C[0][0]])
-            self.extension_patch1.set_fc(cc[0])
-            X, Y, C = X[1:], Y[1:], C[1:]
-
-        if self.extend in ["max", "both"]:
-            cc = self.to_rgba([C[-1][0]])
-            self.extension_patch2.set_fc(cc[0])
-            X, Y, C = X[:-1], Y[:-1], C[:-1]
-
-        if self.orientation == 'vertical':
-            args = (X, Y, C)
-        else:
-            args = (np.transpose(Y), np.transpose(X), np.transpose(C))
-        kw = {'cmap':self.cmap, 'norm':self.norm,
-              'shading':'flat', 'alpha':self.alpha,
-              }
-
-        del self.solids
-        del self.dividers
-
-        col = self.ax.pcolormesh(*args, **kw)
-
-        self.solids = col
-        if self.drawedges:
-            self.dividers = collections.LineCollection(self._edges(X,Y),
-                              colors=(mpl.rcParams['axes.edgecolor'],),
-                              linewidths=(0.5*mpl.rcParams['axes.linewidth'],),
-                              )
-            self.ax.add_collection(self.dividers)
-        else:
-            self.dividers = None
-
-    def add_lines(self, levels, colors, linewidths):
-        '''
-        Draw lines on the colorbar. It deletes preexisting lines.
-        '''
-        del self.lines
-
-        N = len(levels)
-        x = np.array([1.0, 2.0])
-        X, Y = np.meshgrid(x,levels)
-        if self.orientation == 'vertical':
-            xy = [list(zip(X[i], Y[i])) for i in xrange(N)]
-        else:
-            xy = [list(zip(Y[i], X[i])) for i in xrange(N)]
-        col = collections.LineCollection(xy, linewidths=linewidths,
-                                         )
-        self.lines = col
-        col.set_color(colors)
-        self.ax.add_collection(col)
-
-
-    def _select_locator(self, formatter):
-        '''
-        select a suitable locator
-        '''
-        if self.boundaries is None:
-            if isinstance(self.norm, colors.NoNorm):
-                nv = len(self._values)
-                base = 1 + int(nv/10)
-                locator = ticker.IndexLocator(base=base, offset=0)
-            elif isinstance(self.norm, colors.BoundaryNorm):
-                b = self.norm.boundaries
-                locator = ticker.FixedLocator(b, nbins=10)
-            elif isinstance(self.norm, colors.LogNorm):
-                locator = ticker.LogLocator()
-            else:
-                locator = ticker.MaxNLocator(nbins=5)
-        else:
-            b = self._boundaries[self._inside]
-            locator = ticker.FixedLocator(b) #, nbins=10)
-
-        self.cbar_axis.set_major_locator(locator)
-
-
-    def _process_values(self, b=None):
-        '''
-        Set the :attr:`_boundaries` and :attr:`_values` attributes
-        based on the input boundaries and values.  Input boundaries
-        can be *self.boundaries* or the argument *b*.
-        '''
-        if b is None:
-            b = self.boundaries
-        if b is not None:
-            self._boundaries = np.asarray(b, dtype=float)
-            if self.values is None:
-                self._values = 0.5*(self._boundaries[:-1]
-                                        + self._boundaries[1:])
-                if isinstance(self.norm, colors.NoNorm):
-                    self._values = (self._values + 0.00001).astype(np.int16)
-                return
-            self._values = np.array(self.values)
-            return
-        if self.values is not None:
-            self._values = np.array(self.values)
-            if self.boundaries is None:
-                b = np.zeros(len(self.values)+1, 'd')
-                b[1:-1] = 0.5*(self._values[:-1] - self._values[1:])
-                b[0] = 2.0*b[1] - b[2]
-                b[-1] = 2.0*b[-2] - b[-3]
-                self._boundaries = b
-                return
-            self._boundaries = np.array(self.boundaries)
-            return
-        # Neither boundaries nor values are specified;
-        # make reasonable ones based on cmap and norm.
-        if isinstance(self.norm, colors.NoNorm):
-            b = self._uniform_y(self.cmap.N+1) * self.cmap.N - 0.5
-            v = np.zeros((len(b)-1,), dtype=np.int16)
-            v = np.arange(self.cmap.N, dtype=np.int16)
-            self._boundaries = b
-            self._values = v
-            return
-        elif isinstance(self.norm, colors.BoundaryNorm):
-            b = np.array(self.norm.boundaries)
-            v = np.zeros((len(b)-1,), dtype=float)
-            bi = self.norm.boundaries
-            v = 0.5*(bi[:-1] + bi[1:])
-            self._boundaries = b
-            self._values = v
-            return
-        else:
-            b = self._uniform_y(self.cmap.N+1)
-
-        self._process_values(b)
-
-
-    def _uniform_y(self, N):
-        '''
-        Return colorbar data coordinates for *N* uniformly
-        spaced boundaries.
-        '''
-        vmin, vmax = self._get_colorbar_limits()
-        if isinstance(self.norm, colors.LogNorm):
-            y = np.logspace(np.log10(vmin), np.log10(vmax), N)
-        else:
-            y = np.linspace(vmin, vmax, N)
-        return y
-
-    def _mesh(self):
-        '''
-        Return X,Y, the coordinate arrays for the colorbar pcolormesh.
-        These are suitable for a vertical colorbar; swapping and
-        transposition for a horizontal colorbar are done outside
-        this function.
-        '''
-        x = np.array([1.0, 2.0])
-        if self.spacing == 'uniform':
-            y = self._uniform_y(len(self._boundaries))
-        else:
-            y = self._boundaries
-        self._y = y
-
-        X, Y = np.meshgrid(x,y)
-        return X, Y
-
-
-    def set_alpha(self, alpha):
-        """
-        set alpha value.
-        """
-        self.alpha = alpha
-
-
-class Colorbar(ColorbarBase):
-    def __init__(self, ax, mappable, **kw):
-        mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
-                             # are set when colorbar is called,
-                             # even if mappable.draw has not yet
-                             # been called.  This will not change
-                             # vmin, vmax if they are already set.
-        self.mappable = mappable
-        kw['cmap'] = mappable.cmap
-        kw['norm'] = mappable.norm
-        kw['alpha'] = mappable.get_alpha()
-        if isinstance(mappable, contour.ContourSet):
-            CS = mappable
-            kw['boundaries'] = CS._levels
-            kw['values'] = CS.cvalues
-            kw['extend'] = CS.extend
-            #kw['ticks'] = CS._levels
-            kw.setdefault('ticks', ticker.FixedLocator(CS.levels, nbins=10))
-            kw['filled'] = CS.filled
-            ColorbarBase.__init__(self, ax, **kw)
-            if not CS.filled:
-                self.add_lines(CS)
-        else:
-            ColorbarBase.__init__(self, ax, **kw)
-
-
-    def add_lines(self, CS):
-        '''
-        Add the lines from a non-filled
-        :class:`~matplotlib.contour.ContourSet` to the colorbar.
-        '''
-        if not isinstance(CS, contour.ContourSet) or CS.filled:
-            raise ValueError('add_lines is only for a ContourSet of lines')
-        tcolors = [c[0] for c in CS.tcolors]
-        tlinewidths = [t[0] for t in CS.tlinewidths]
-        # The following was an attempt to get the colorbar lines
-        # to follow subsequent changes in the contour lines,
-        # but more work is needed: specifically, a careful
-        # look at event sequences, and at how
-        # to make one object track another automatically.
-        #tcolors = [col.get_colors()[0] for col in CS.collections]
-        #tlinewidths = [col.get_linewidth()[0] for lw in CS.collections]
-        #print 'tlinewidths:', tlinewidths
-        ColorbarBase.add_lines(self, CS.levels, tcolors, tlinewidths)
-
-    def update_bruteforce(self, mappable):
-        """
-        Update the colorbar artists to reflect the change of the
-        associated mappable.
-        """
-        self.update_artists()
-
-        if isinstance(mappable, contour.ContourSet):
-            if not mappable.filled:
-                self.add_lines(mappable)
-
-@docstring.Substitution(make_axes_kw_doc)
-def make_axes(parent, **kw):
-    '''
-    Resize and reposition a parent axes, and return a child
-    axes suitable for a colorbar::
-
-        cax, kw = make_axes(parent, **kw)
-
-    Keyword arguments may include the following (with defaults):
-
-        *orientation*
-            'vertical'  or 'horizontal'
-
-    %s
-
-    All but the first of these are stripped from the input kw set.
-
-    Returns (cax, kw), the child axes and the reduced kw dictionary.
-    '''
-    orientation = kw.setdefault('orientation', 'vertical')
-    fraction = kw.pop('fraction', 0.15)
-    shrink = kw.pop('shrink', 1.0)
-    aspect = kw.pop('aspect', 20)
-    #pb = transforms.PBox(parent.get_position())
-    pb = parent.get_position(original=True).frozen()
-    if orientation == 'vertical':
-        pad = kw.pop('pad', 0.05)
-        x1 = 1.0-fraction
-        pb1, pbx, pbcb = pb.splitx(x1-pad, x1)
-        pbcb = pbcb.shrunk(1.0, shrink).anchored('C', pbcb)
-        anchor = (0.0, 0.5)
-        panchor = (1.0, 0.5)
-    else:
-        pad = kw.pop('pad', 0.15)
-        pbcb, pbx, pb1 = pb.splity(fraction, fraction+pad)
-        pbcb = pbcb.shrunk(shrink, 1.0).anchored('C', pbcb)
-        aspect = 1.0/aspect
-        anchor = (0.5, 1.0)
-        panchor = (0.5, 0.0)
-    parent.set_position(pb1)
-    parent.set_anchor(panchor)
-    fig = parent.get_figure()
-    cax = fig.add_axes(pbcb)
-    cax.set_aspect(aspect, anchor=anchor, adjustable='box')
-    return cax, kw
-
-
-def colorbar(mappable, cax=None, ax=None, **kw):
-    """
-    Create a colorbar for a ScalarMappable instance.
-
-    Documentation for the pylab thin wrapper:
-    %(colorbar_doc)s
-    """
-    import matplotlib.pyplot as plt
-    if ax is None:
-        ax = plt.gca()
-    if cax is None:
-        cax, kw = make_axes(ax, **kw)
-    cax.hold(True)
-    cb = Colorbar(cax, mappable, **kw)
-
-    def on_changed(m):
-        cb.set_cmap(m.get_cmap())
-        cb.set_clim(m.get_clim())
-        cb.update_bruteforce(m)
-
-    cbid = mappable.callbacksSM.connect('changed', on_changed)
-    mappable.colorbar = cb
-    ax.figure.sca(ax)
-    return cb
diff --git a/lib/mpl_toolkits/axes_grid1/inset_locator.py b/lib/mpl_toolkits/axes_grid1/inset_locator.py
index feb4a0316e8c..52fe6efc0618 100644
--- a/lib/mpl_toolkits/axes_grid1/inset_locator.py
+++ b/lib/mpl_toolkits/axes_grid1/inset_locator.py
@@ -1,171 +1,126 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
+"""
+A collection of functions and objects for creating or placing inset axes.
+"""
 
+from matplotlib import _api, _docstring
 from matplotlib.offsetbox import AnchoredOffsetbox
- #from matplotlib.transforms import IdentityTransform
-
-import matplotlib.transforms as mtrans
-from .parasite_axes import HostAxes  # subclasses mpl_axes
-
-from matplotlib.transforms import Bbox, TransformedBbox, IdentityTransform
-
-from matplotlib.patches import Patch
+from matplotlib.patches import Patch, Rectangle
 from matplotlib.path import Path
+from matplotlib.transforms import Bbox
+from matplotlib.transforms import IdentityTransform, TransformedBbox
 
-from matplotlib.patches import Rectangle
-
-
-class InsetPosition(object):
-    def __init__(self, parent, lbwh):
-        self.parent = parent
-        self.lbwh = lbwh  # position of the inset axes in
-                          # the normalized coordinate of the parent axes
-
-    def __call__(self, ax, renderer):
-        bbox_parent = self.parent.get_position(original=False)
-        trans = mtrans.BboxTransformTo(bbox_parent)
-        bbox_inset = mtrans.Bbox.from_bounds(*self.lbwh)
-        bb = mtrans.TransformedBbox(bbox_inset, trans)
-        return bb
+from . import axes_size as Size
+from .parasite_axes import HostAxes
 
 
 class AnchoredLocatorBase(AnchoredOffsetbox):
     def __init__(self, bbox_to_anchor, offsetbox, loc,
                  borderpad=0.5, bbox_transform=None):
-
-        super(AnchoredLocatorBase, self).__init__(loc,
-                                                  pad=0., child=None,
-                                                  borderpad=borderpad,
-                                                 bbox_to_anchor=bbox_to_anchor,
-                                                 bbox_transform=bbox_transform)
+        super().__init__(
+            loc, pad=0., child=None, borderpad=borderpad,
+            bbox_to_anchor=bbox_to_anchor, bbox_transform=bbox_transform
+        )
 
     def draw(self, renderer):
         raise RuntimeError("No draw method should be called")
 
     def __call__(self, ax, renderer):
-
-        fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
-        self._update_offset_func(renderer, fontsize)
-
-        width, height, xdescent, ydescent = self.get_extent(renderer)
-
-        px, py = self.get_offset(width, height, 0, 0, renderer)
-        bbox_canvas = mtrans.Bbox.from_bounds(px, py, width, height)
-        tr = ax.figure.transFigure.inverted()
-        bb = mtrans.TransformedBbox(bbox_canvas, tr)
-
-        return bb
-
-from . import axes_size as Size
+        fig = ax.get_figure(root=False)
+        if renderer is None:
+            renderer = fig._get_renderer()
+        self.axes = ax
+        bbox = self.get_window_extent(renderer)
+        px, py = self.get_offset(bbox.width, bbox.height, 0, 0, renderer)
+        bbox_canvas = Bbox.from_bounds(px, py, bbox.width, bbox.height)
+        tr = fig.transSubfigure.inverted()
+        return TransformedBbox(bbox_canvas, tr)
 
 
 class AnchoredSizeLocator(AnchoredLocatorBase):
     def __init__(self, bbox_to_anchor, x_size, y_size, loc,
                  borderpad=0.5, bbox_transform=None):
-        self.axes = None
+        super().__init__(
+            bbox_to_anchor, None, loc,
+            borderpad=borderpad, bbox_transform=bbox_transform
+        )
+
         self.x_size = Size.from_any(x_size)
         self.y_size = Size.from_any(y_size)
 
-        super(AnchoredSizeLocator, self).__init__(bbox_to_anchor, None, loc,
-                                                 borderpad=borderpad,
-                                                 bbox_transform=bbox_transform)
-
-    def get_extent(self, renderer):
-
-        x, y, w, h = self.get_bbox_to_anchor().bounds
-
+    def get_bbox(self, renderer):
+        bbox = self.get_bbox_to_anchor()
         dpi = renderer.points_to_pixels(72.)
 
         r, a = self.x_size.get_size(renderer)
-        width = w*r + a*dpi
-
+        width = bbox.width * r + a * dpi
         r, a = self.y_size.get_size(renderer)
-        height = h*r + a*dpi
-        xd, yd = 0, 0
+        height = bbox.height * r + a * dpi
 
         fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
         pad = self.pad * fontsize
 
-        return width+2*pad, height+2*pad, xd+pad, yd+pad
-
-    def __call__(self, ax, renderer):
-
-        self.axes = ax
-        return super(AnchoredSizeLocator, self).__call__(ax, renderer)
+        return Bbox.from_bounds(0, 0, width, height).padded(pad)
 
 
 class AnchoredZoomLocator(AnchoredLocatorBase):
     def __init__(self, parent_axes, zoom, loc,
-                  borderpad=0.5,
+                 borderpad=0.5,
                  bbox_to_anchor=None,
                  bbox_transform=None):
-
         self.parent_axes = parent_axes
         self.zoom = zoom
-
         if bbox_to_anchor is None:
             bbox_to_anchor = parent_axes.bbox
+        super().__init__(
+            bbox_to_anchor, None, loc, borderpad=borderpad,
+            bbox_transform=bbox_transform)
 
-        super(AnchoredZoomLocator, self).__init__(bbox_to_anchor, None, loc,
-                                                 borderpad=borderpad,
-                                                 bbox_transform=bbox_transform)
-
-        self.axes = None
-
-    def get_extent(self, renderer):
-
-        bb = mtrans.TransformedBbox(self.axes.viewLim,
-                                    self.parent_axes.transData)
-
-        x, y, w, h = bb.bounds
-
-        xd, yd = 0, 0
-
+    def get_bbox(self, renderer):
+        bb = self.parent_axes.transData.transform_bbox(self.axes.viewLim)
         fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
         pad = self.pad * fontsize
-
-        return w*self.zoom+2*pad, h*self.zoom+2*pad, xd+pad, yd+pad
-
-    def __call__(self, ax, renderer):
-        self.axes = ax
-        return super(AnchoredZoomLocator, self).__call__(ax, renderer)
+        return (
+            Bbox.from_bounds(
+                0, 0, abs(bb.width * self.zoom), abs(bb.height * self.zoom))
+            .padded(pad))
 
 
 class BboxPatch(Patch):
+    @_docstring.interpd
     def __init__(self, bbox, **kwargs):
+        """
+        Patch showing the shape bounded by a Bbox.
+
+        Parameters
+        ----------
+        bbox : `~matplotlib.transforms.Bbox`
+            Bbox to use for the extents of this patch.
+
+        **kwargs
+            Patch properties. Valid arguments include:
+
+            %(Patch:kwdoc)s
+        """
         if "transform" in kwargs:
             raise ValueError("transform should not be set")
 
         kwargs["transform"] = IdentityTransform()
-        Patch.__init__(self, **kwargs)
+        super().__init__(**kwargs)
         self.bbox = bbox
 
     def get_path(self):
+        # docstring inherited
         x0, y0, x1, y1 = self.bbox.extents
-
-        verts = [(x0, y0),
-                 (x1, y0),
-                 (x1, y1),
-                 (x0, y1),
-                 (x0, y0),
-                 (0, 0)]
-
-        codes = [Path.MOVETO,
-                 Path.LINETO,
-                 Path.LINETO,
-                 Path.LINETO,
-                 Path.LINETO,
-                 Path.CLOSEPOLY]
-
-        return Path(verts, codes)
+        return Path._create_closed([(x0, y0), (x1, y0), (x1, y1), (x0, y1)])
 
 
 class BboxConnector(Patch):
-
     @staticmethod
     def get_bbox_edge_pos(bbox, loc):
+        """
+        Return the ``(x, y)`` coordinates of corner *loc* of *bbox*; parameters
+        behave as documented for the `.BboxConnector` constructor.
+        """
         x0, y0, x1, y1 = bbox.extents
         if loc == 1:
             return x1, y1
@@ -178,141 +133,379 @@ def get_bbox_edge_pos(bbox, loc):
 
     @staticmethod
     def connect_bbox(bbox1, bbox2, loc1, loc2=None):
+        """
+        Construct a `.Path` connecting corner *loc1* of *bbox1* to corner
+        *loc2* of *bbox2*, where parameters behave as documented as for the
+        `.BboxConnector` constructor.
+        """
         if isinstance(bbox1, Rectangle):
-            transform = bbox1.get_transfrom()
-            bbox1 = Bbox.from_bounds(0, 0, 1, 1)
-            bbox1 = TransformedBbox(bbox1, transform)
-
+            bbox1 = TransformedBbox(Bbox.unit(), bbox1.get_transform())
         if isinstance(bbox2, Rectangle):
-            transform = bbox2.get_transform()
-            bbox2 = Bbox.from_bounds(0, 0, 1, 1)
-            bbox2 = TransformedBbox(bbox2, transform)
-
+            bbox2 = TransformedBbox(Bbox.unit(), bbox2.get_transform())
         if loc2 is None:
             loc2 = loc1
-
         x1, y1 = BboxConnector.get_bbox_edge_pos(bbox1, loc1)
         x2, y2 = BboxConnector.get_bbox_edge_pos(bbox2, loc2)
+        return Path([[x1, y1], [x2, y2]])
 
-        verts = [[x1, y1], [x2, y2]]
-        #Path()
-
-        codes = [Path.MOVETO, Path.LINETO]
-
-        return Path(verts, codes)
-
+    @_docstring.interpd
     def __init__(self, bbox1, bbox2, loc1, loc2=None, **kwargs):
         """
-        *path* is a :class:`matplotlib.path.Path` object.
+        Connect two bboxes with a straight line.
 
-        Valid kwargs are:
-        %(Patch)s
+        Parameters
+        ----------
+        bbox1, bbox2 : `~matplotlib.transforms.Bbox`
+            Bounding boxes to connect.
 
-        .. seealso::
+        loc1, loc2 : {1, 2, 3, 4}
+            Corner of *bbox1* and *bbox2* to draw the line. Valid values are::
 
-            :class:`Patch`
-                For additional kwargs
+                'upper right'  : 1,
+                'upper left'   : 2,
+                'lower left'   : 3,
+                'lower right'  : 4
 
+            *loc2* is optional and defaults to *loc1*.
+
+        **kwargs
+            Patch properties for the line drawn. Valid arguments include:
+
+            %(Patch:kwdoc)s
         """
         if "transform" in kwargs:
             raise ValueError("transform should not be set")
 
         kwargs["transform"] = IdentityTransform()
-        Patch.__init__(self, **kwargs)
+        kwargs.setdefault(
+            "fill", bool({'fc', 'facecolor', 'color'}.intersection(kwargs)))
+        super().__init__(**kwargs)
         self.bbox1 = bbox1
         self.bbox2 = bbox2
         self.loc1 = loc1
         self.loc2 = loc2
 
     def get_path(self):
+        # docstring inherited
         return self.connect_bbox(self.bbox1, self.bbox2,
                                  self.loc1, self.loc2)
 
 
 class BboxConnectorPatch(BboxConnector):
-
+    @_docstring.interpd
     def __init__(self, bbox1, bbox2, loc1a, loc2a, loc1b, loc2b, **kwargs):
+        """
+        Connect two bboxes with a quadrilateral.
+
+        The quadrilateral is specified by two lines that start and end at
+        corners of the bboxes. The four sides of the quadrilateral are defined
+        by the two lines given, the line between the two corners specified in
+        *bbox1* and the line between the two corners specified in *bbox2*.
+
+        Parameters
+        ----------
+        bbox1, bbox2 : `~matplotlib.transforms.Bbox`
+            Bounding boxes to connect.
+
+        loc1a, loc2a, loc1b, loc2b : {1, 2, 3, 4}
+            The first line connects corners *loc1a* of *bbox1* and *loc2a* of
+            *bbox2*; the second line connects corners *loc1b* of *bbox1* and
+            *loc2b* of *bbox2*.  Valid values are::
+
+                'upper right'  : 1,
+                'upper left'   : 2,
+                'lower left'   : 3,
+                'lower right'  : 4
+
+        **kwargs
+            Patch properties for the line drawn:
+
+            %(Patch:kwdoc)s
+        """
         if "transform" in kwargs:
             raise ValueError("transform should not be set")
-        BboxConnector.__init__(self, bbox1, bbox2, loc1a, loc2a, **kwargs)
+        super().__init__(bbox1, bbox2, loc1a, loc2a, **kwargs)
         self.loc1b = loc1b
         self.loc2b = loc2b
 
     def get_path(self):
+        # docstring inherited
         path1 = self.connect_bbox(self.bbox1, self.bbox2, self.loc1, self.loc2)
         path2 = self.connect_bbox(self.bbox2, self.bbox1,
                                   self.loc2b, self.loc1b)
-        path_merged = (list(path1.vertices) +
-                       list(path2.vertices) +
-                       [path1.vertices[0]])
+        path_merged = [*path1.vertices, *path2.vertices, path1.vertices[0]]
         return Path(path_merged)
 
 
-def _add_inset_axes(parent_axes, inset_axes):
-    parent_axes.figure.add_axes(inset_axes)
-    inset_axes.set_navigate(False)
-
-
-def inset_axes(parent_axes, width, height, loc=1,
-                bbox_to_anchor=None, bbox_transform=None,
-                axes_class=None,
-                axes_kwargs=None,
-                **kwargs):
-
+def _add_inset_axes(parent_axes, axes_class, axes_kwargs, axes_locator):
+    """Helper function to add an inset axes and disable navigation in it."""
     if axes_class is None:
         axes_class = HostAxes
-
     if axes_kwargs is None:
-        inset_axes = axes_class(parent_axes.figure, parent_axes.get_position())
-    else:
-        inset_axes = axes_class(parent_axes.figure, parent_axes.get_position(),
-                               **axes_kwargs)
-
+        axes_kwargs = {}
+    fig = parent_axes.get_figure(root=False)
+    inset_axes = axes_class(
+        fig, parent_axes.get_position(),
+        **{"navigate": False, **axes_kwargs, "axes_locator": axes_locator})
+    return fig.add_axes(inset_axes)
+
+
+@_docstring.interpd
+def inset_axes(parent_axes, width, height, loc='upper right',
+               bbox_to_anchor=None, bbox_transform=None,
+               axes_class=None, axes_kwargs=None,
+               borderpad=0.5):
+    """
+    Create an inset axes with a given width and height.
+
+    Both sizes used can be specified either in inches or percentage.
+    For example,::
+
+        inset_axes(parent_axes, width='40%%', height='30%%', loc='lower left')
+
+    creates in inset axes in the lower left corner of *parent_axes* which spans
+    over 30%% in height and 40%% in width of the *parent_axes*. Since the usage
+    of `.inset_axes` may become slightly tricky when exceeding such standard
+    cases, it is recommended to read :doc:`the examples
+    </gallery/axes_grid1/inset_locator_demo>`.
+
+    Notes
+    -----
+    The meaning of *bbox_to_anchor* and *bbox_to_transform* is interpreted
+    differently from that of legend. The value of bbox_to_anchor
+    (or the return value of its get_points method; the default is
+    *parent_axes.bbox*) is transformed by the bbox_transform (the default
+    is Identity transform) and then interpreted as points in the pixel
+    coordinate (which is dpi dependent).
+
+    Thus, following three calls are identical and creates an inset axes
+    with respect to the *parent_axes*::
+
+       axins = inset_axes(parent_axes, "30%%", "40%%")
+       axins = inset_axes(parent_axes, "30%%", "40%%",
+                          bbox_to_anchor=parent_axes.bbox)
+       axins = inset_axes(parent_axes, "30%%", "40%%",
+                          bbox_to_anchor=(0, 0, 1, 1),
+                          bbox_transform=parent_axes.transAxes)
+
+    Parameters
+    ----------
+    parent_axes : `matplotlib.axes.Axes`
+        Axes to place the inset axes.
+
+    width, height : float or str
+        Size of the inset axes to create. If a float is provided, it is
+        the size in inches, e.g. *width=1.3*. If a string is provided, it is
+        the size in relative units, e.g. *width='40%%'*. By default, i.e. if
+        neither *bbox_to_anchor* nor *bbox_transform* are specified, those
+        are relative to the parent_axes. Otherwise, they are to be understood
+        relative to the bounding box provided via *bbox_to_anchor*.
+
+    loc : str, default: 'upper right'
+        Location to place the inset axes.  Valid locations are
+        'upper left', 'upper center', 'upper right',
+        'center left', 'center', 'center right',
+        'lower left', 'lower center', 'lower right'.
+        For backward compatibility, numeric values are accepted as well.
+        See the parameter *loc* of `.Legend` for details.
+
+    bbox_to_anchor : tuple or `~matplotlib.transforms.BboxBase`, optional
+        Bbox that the inset axes will be anchored to. If None,
+        a tuple of (0, 0, 1, 1) is used if *bbox_transform* is set
+        to *parent_axes.transAxes* or *parent_axes.figure.transFigure*.
+        Otherwise, *parent_axes.bbox* is used. If a tuple, can be either
+        [left, bottom, width, height], or [left, bottom].
+        If the kwargs *width* and/or *height* are specified in relative units,
+        the 2-tuple [left, bottom] cannot be used. Note that,
+        unless *bbox_transform* is set, the units of the bounding box
+        are interpreted in the pixel coordinate. When using *bbox_to_anchor*
+        with tuple, it almost always makes sense to also specify
+        a *bbox_transform*. This might often be the axes transform
+        *parent_axes.transAxes*.
+
+    bbox_transform : `~matplotlib.transforms.Transform`, optional
+        Transformation for the bbox that contains the inset axes.
+        If None, a `.transforms.IdentityTransform` is used. The value
+        of *bbox_to_anchor* (or the return value of its get_points method)
+        is transformed by the *bbox_transform* and then interpreted
+        as points in the pixel coordinate (which is dpi dependent).
+        You may provide *bbox_to_anchor* in some normalized coordinate,
+        and give an appropriate transform (e.g., *parent_axes.transAxes*).
+
+    axes_class : `~matplotlib.axes.Axes` type, default: `.HostAxes`
+        The type of the newly created inset axes.
+
+    axes_kwargs : dict, optional
+        Keyword arguments to pass to the constructor of the inset axes.
+        Valid arguments include:
+
+        %(Axes:kwdoc)s
+
+    borderpad : float, default: 0.5
+        Padding between inset axes and the bbox_to_anchor.
+        The units are axes font size, i.e. for a default font size of 10 points
+        *borderpad = 0.5* is equivalent to a padding of 5 points.
+
+    Returns
+    -------
+    inset_axes : *axes_class*
+        Inset axes object created.
+    """
+
+    if (bbox_transform in [parent_axes.transAxes,
+                           parent_axes.get_figure(root=False).transFigure]
+            and bbox_to_anchor is None):
+        _api.warn_external("Using the axes or figure transform requires a "
+                           "bounding box in the respective coordinates. "
+                           "Using bbox_to_anchor=(0, 0, 1, 1) now.")
+        bbox_to_anchor = (0, 0, 1, 1)
     if bbox_to_anchor is None:
         bbox_to_anchor = parent_axes.bbox
+    if (isinstance(bbox_to_anchor, tuple) and
+            (isinstance(width, str) or isinstance(height, str))):
+        if len(bbox_to_anchor) != 4:
+            raise ValueError("Using relative units for width or height "
+                             "requires to provide a 4-tuple or a "
+                             "`Bbox` instance to `bbox_to_anchor.")
+    return _add_inset_axes(
+        parent_axes, axes_class, axes_kwargs,
+        AnchoredSizeLocator(
+            bbox_to_anchor, width, height, loc=loc,
+            bbox_transform=bbox_transform, borderpad=borderpad))
+
+
+@_docstring.interpd
+def zoomed_inset_axes(parent_axes, zoom, loc='upper right',
+                      bbox_to_anchor=None, bbox_transform=None,
+                      axes_class=None, axes_kwargs=None,
+                      borderpad=0.5):
+    """
+    Create an anchored inset axes by scaling a parent axes. For usage, also see
+    :doc:`the examples </gallery/axes_grid1/inset_locator_demo2>`.
+
+    Parameters
+    ----------
+    parent_axes : `~matplotlib.axes.Axes`
+        Axes to place the inset axes.
+
+    zoom : float
+        Scaling factor of the data axes. *zoom* > 1 will enlarge the
+        coordinates (i.e., "zoomed in"), while *zoom* < 1 will shrink the
+        coordinates (i.e., "zoomed out").
+
+    loc : str, default: 'upper right'
+        Location to place the inset axes.  Valid locations are
+        'upper left', 'upper center', 'upper right',
+        'center left', 'center', 'center right',
+        'lower left', 'lower center', 'lower right'.
+        For backward compatibility, numeric values are accepted as well.
+        See the parameter *loc* of `.Legend` for details.
+
+    bbox_to_anchor : tuple or `~matplotlib.transforms.BboxBase`, optional
+        Bbox that the inset axes will be anchored to. If None,
+        *parent_axes.bbox* is used. If a tuple, can be either
+        [left, bottom, width, height], or [left, bottom].
+        If the kwargs *width* and/or *height* are specified in relative units,
+        the 2-tuple [left, bottom] cannot be used. Note that
+        the units of the bounding box are determined through the transform
+        in use. When using *bbox_to_anchor* it almost always makes sense to
+        also specify a *bbox_transform*. This might often be the axes transform
+        *parent_axes.transAxes*.
+
+    bbox_transform : `~matplotlib.transforms.Transform`, optional
+        Transformation for the bbox that contains the inset axes.
+        If None, a `.transforms.IdentityTransform` is used (i.e. pixel
+        coordinates). This is useful when not providing any argument to
+        *bbox_to_anchor*. When using *bbox_to_anchor* it almost always makes
+        sense to also specify a *bbox_transform*. This might often be the
+        axes transform *parent_axes.transAxes*. Inversely, when specifying
+        the axes- or figure-transform here, be aware that not specifying
+        *bbox_to_anchor* will use *parent_axes.bbox*, the units of which are
+        in display (pixel) coordinates.
+
+    axes_class : `~matplotlib.axes.Axes` type, default: `.HostAxes`
+        The type of the newly created inset axes.
+
+    axes_kwargs : dict, optional
+        Keyword arguments to pass to the constructor of the inset axes.
+        Valid arguments include:
+
+        %(Axes:kwdoc)s
+
+    borderpad : float, default: 0.5
+        Padding between inset axes and the bbox_to_anchor.
+        The units are axes font size, i.e. for a default font size of 10 points
+        *borderpad = 0.5* is equivalent to a padding of 5 points.
+
+    Returns
+    -------
+    inset_axes : *axes_class*
+        Inset axes object created.
+    """
+
+    return _add_inset_axes(
+        parent_axes, axes_class, axes_kwargs,
+        AnchoredZoomLocator(
+            parent_axes, zoom=zoom, loc=loc,
+            bbox_to_anchor=bbox_to_anchor, bbox_transform=bbox_transform,
+            borderpad=borderpad))
+
+
+class _TransformedBboxWithCallback(TransformedBbox):
+    """
+    Variant of `.TransformBbox` which calls *callback* before returning points.
+
+    Used by `.mark_inset` to unstale the parent axes' viewlim as needed.
+    """
+
+    def __init__(self, *args, callback, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._callback = callback
+
+    def get_points(self):
+        self._callback()
+        return super().get_points()
+
+
+@_docstring.interpd
+def mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs):
+    """
+    Draw a box to mark the location of an area represented by an inset axes.
 
-    axes_locator = AnchoredSizeLocator(bbox_to_anchor,
-                                       width, height,
-                                       loc=loc,
-                                       bbox_transform=bbox_transform,
-                                       **kwargs)
-
-    inset_axes.set_axes_locator(axes_locator)
-
-    _add_inset_axes(parent_axes, inset_axes)
-
-    return inset_axes
-
-
-def zoomed_inset_axes(parent_axes, zoom, loc=1,
-                       bbox_to_anchor=None, bbox_transform=None,
-                       axes_class=None,
-                       axes_kwargs=None,
-                       **kwargs):
+    This function draws a box in *parent_axes* at the bounding box of
+    *inset_axes*, and shows a connection with the inset axes by drawing lines
+    at the corners, giving a "zoomed in" effect.
 
-    if axes_class is None:
-        axes_class = HostAxes
+    Parameters
+    ----------
+    parent_axes : `~matplotlib.axes.Axes`
+        Axes which contains the area of the inset axes.
 
-    if axes_kwargs is None:
-        inset_axes = axes_class(parent_axes.figure, parent_axes.get_position())
-    else:
-        inset_axes = axes_class(parent_axes.figure, parent_axes.get_position(),
-                               **axes_kwargs)
+    inset_axes : `~matplotlib.axes.Axes`
+        The inset axes.
 
-    axes_locator = AnchoredZoomLocator(parent_axes, zoom=zoom, loc=loc,
-                                       bbox_to_anchor=bbox_to_anchor,
-                                       bbox_transform=bbox_transform,
-                                       **kwargs)
-    inset_axes.set_axes_locator(axes_locator)
+    loc1, loc2 : {1, 2, 3, 4}
+        Corners to use for connecting the inset axes and the area in the
+        parent axes.
 
-    _add_inset_axes(parent_axes, inset_axes)
+    **kwargs
+        Patch properties for the lines and box drawn:
 
-    return inset_axes
+        %(Patch:kwdoc)s
 
+    Returns
+    -------
+    pp : `~matplotlib.patches.Patch`
+        The patch drawn to represent the area of the inset axes.
 
-def mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs):
-    rect = TransformedBbox(inset_axes.viewLim, parent_axes.transData)
+    p1, p2 : `~matplotlib.patches.Patch`
+        The patches connecting two corners of the inset axes and its area.
+    """
+    rect = _TransformedBboxWithCallback(
+        inset_axes.viewLim, parent_axes.transData,
+        callback=parent_axes._unstale_viewLim)
 
+    kwargs.setdefault("fill", bool({'fc', 'facecolor', 'color'}.intersection(kwargs)))
     pp = BboxPatch(rect, **kwargs)
     parent_axes.add_patch(pp)
 
diff --git a/lib/mpl_toolkits/axes_grid1/meson.build b/lib/mpl_toolkits/axes_grid1/meson.build
new file mode 100644
index 000000000000..7dd5c3861163
--- /dev/null
+++ b/lib/mpl_toolkits/axes_grid1/meson.build
@@ -0,0 +1,15 @@
+python_sources = [
+  '__init__.py',
+  'anchored_artists.py',
+  'axes_divider.py',
+  'axes_grid.py',
+  'axes_rgb.py',
+  'axes_size.py',
+  'inset_locator.py',
+  'mpl_axes.py',
+  'parasite_axes.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/axes_grid1')
+
+subdir('tests')
diff --git a/lib/mpl_toolkits/axes_grid1/mpl_axes.py b/lib/mpl_toolkits/axes_grid1/mpl_axes.py
index 9235897d5121..51c8748758cb 100644
--- a/lib/mpl_toolkits/axes_grid1/mpl_axes.py
+++ b/lib/mpl_toolkits/axes_grid1/mpl_axes.py
@@ -1,15 +1,9 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import warnings
-
 import matplotlib.axes as maxes
 from matplotlib.artist import Artist
 from matplotlib.axis import XAxis, YAxis
 
-class SimpleChainedObjects(object):
+
+class SimpleChainedObjects:
     def __init__(self, objects):
         self._objects = objects
 
@@ -17,28 +11,27 @@ def __getattr__(self, k):
         _a = SimpleChainedObjects([getattr(a, k) for a in self._objects])
         return _a
 
-    def __call__(self, *kl, **kwargs):
+    def __call__(self, *args, **kwargs):
         for m in self._objects:
-            m(*kl, **kwargs)
+            m(*args, **kwargs)
 
 
 class Axes(maxes.Axes):
-    def toggle_axisline(self, b):
-        warnings.warn("toggle_axisline is not necessary and deprecated in axes_grid1")
 
     class AxisDict(dict):
         def __init__(self, axes):
             self.axes = axes
-            super(Axes.AxisDict, self).__init__()
+            super().__init__()
 
         def __getitem__(self, k):
             if isinstance(k, tuple):
-                r = SimpleChainedObjects([dict.__getitem__(self, k1) for k1 in k])
+                r = SimpleChainedObjects(
+                    # super() within a list comprehension needs explicit args.
+                    [super(Axes.AxisDict, self).__getitem__(k1) for k1 in k])
                 return r
             elif isinstance(k, slice):
-                if k.start == None and k.stop == None and k.step == None:
-                    r = SimpleChainedObjects(list(six.itervalues(self)))
-                    return r
+                if k.start is None and k.stop is None and k.step is None:
+                    return SimpleChainedObjects(list(self.values()))
                 else:
                     raise ValueError("Unsupported slice")
             else:
@@ -47,33 +40,20 @@ def __getitem__(self, k):
         def __call__(self, *v, **kwargs):
             return maxes.Axes.axis(self.axes, *v, **kwargs)
 
-
-    def __init__(self, *kl, **kw):
-        super(Axes, self).__init__(*kl, **kw)
-
-
-
-    def _init_axis_artists(self, axes=None):
-        if axes is None:
-            axes = self
-
-        self._axislines = self.AxisDict(self)
-
-        self._axislines["bottom"] = SimpleAxisArtist(self.xaxis, 1, self.spines["bottom"])
-        self._axislines["top"] = SimpleAxisArtist(self.xaxis, 2, self.spines["top"])
-        self._axislines["left"] = SimpleAxisArtist(self.yaxis, 1, self.spines["left"])
-        self._axislines["right"] = SimpleAxisArtist(self.yaxis, 2, self.spines["right"])
-
-
-    def _get_axislines(self):
+    @property
+    def axis(self):
         return self._axislines
 
-    axis = property(_get_axislines)
-
-    def cla(self):
-
-        super(Axes, self).cla()
-        self._init_axis_artists()
+    def clear(self):
+        # docstring inherited
+        super().clear()
+        # Init axis artists.
+        self._axislines = self.AxisDict(self)
+        self._axislines.update(
+            bottom=SimpleAxisArtist(self.xaxis, 1, self.spines["bottom"]),
+            top=SimpleAxisArtist(self.xaxis, 2, self.spines["top"]),
+            left=SimpleAxisArtist(self.yaxis, 1, self.spines["left"]),
+            right=SimpleAxisArtist(self.yaxis, 2, self.spines["right"]))
 
 
 class SimpleAxisArtist(Artist):
@@ -87,32 +67,31 @@ def __init__(self, axis, axisnum, spine):
         elif isinstance(axis, YAxis):
             self._axis_direction = ["left", "right"][axisnum-1]
         else:
-            raise ValueError("axis must be instance of XAxis or YAxis : %s is provided" % (axis,))
-        Artist.__init__(self)
+            raise ValueError(
+                f"axis must be instance of XAxis or YAxis, but got {axis}")
+        super().__init__()
 
-
-    def _get_major_ticks(self):
+    @property
+    def major_ticks(self):
         tickline = "tick%dline" % self._axisnum
-        return SimpleChainedObjects([getattr(tick, tickline) for tick \
-                                     in self._axis.get_major_ticks()])
+        return SimpleChainedObjects([getattr(tick, tickline)
+                                     for tick in self._axis.get_major_ticks()])
 
-    def _get_major_ticklabels(self):
+    @property
+    def major_ticklabels(self):
         label = "label%d" % self._axisnum
-        return SimpleChainedObjects([getattr(tick, label) for tick \
-                                     in self._axis.get_major_ticks()])
+        return SimpleChainedObjects([getattr(tick, label)
+                                     for tick in self._axis.get_major_ticks()])
 
-    def _get_label(self):
+    @property
+    def label(self):
         return self._axis.label
 
-    major_ticks = property(_get_major_ticks)
-    major_ticklabels = property(_get_major_ticklabels)
-    label = property(_get_label)
-
     def set_visible(self, b):
         self.toggle(all=b)
         self.line.set_visible(b)
         self._axis.set_visible(True)
-        Artist.set_visible(self, b)
+        super().set_visible(b)
 
     def set_label(self, txt):
         self._axis.set_label_text(txt)
@@ -133,14 +112,11 @@ def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
         if label is not None:
             _label = label
 
-        tickOn = "tick%dOn" % self._axisnum
-        labelOn = "label%dOn" % self._axisnum
-
         if _ticks is not None:
-            tickparam = {tickOn: _ticks}
+            tickparam = {f"tick{self._axisnum}On": _ticks}
             self._axis.set_tick_params(**tickparam)
         if _ticklabels is not None:
-            tickparam = {labelOn: _ticklabels}
+            tickparam = {f"label{self._axisnum}On": _ticklabels}
             self._axis.set_tick_params(**tickparam)
 
         if _label is not None:
@@ -150,10 +126,3 @@ def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
             elif _label:
                 self._axis.label.set_visible(True)
                 self._axis.set_label_position(self._axis_direction)
-
-
-if __name__ == '__main__':
-    fig = figure()
-    ax = Axes(fig, [0.1, 0.1, 0.8, 0.8])
-    fig.add_axes(ax)
-    ax.cla()
diff --git a/lib/mpl_toolkits/axes_grid1/parasite_axes.py b/lib/mpl_toolkits/axes_grid1/parasite_axes.py
index c9f4869a4357..fbc6e8141272 100644
--- a/lib/mpl_toolkits/axes_grid1/parasite_axes.py
+++ b/lib/mpl_toolkits/axes_grid1/parasite_axes.py
@@ -1,504 +1,260 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import warnings
-
-import matplotlib
-rcParams = matplotlib.rcParams
+from matplotlib import _api, cbook
 import matplotlib.artist as martist
 import matplotlib.transforms as mtransforms
-import matplotlib.collections as mcoll
-import matplotlib.legend as mlegend
-
-from matplotlib.axes import subplot_class_factory
-from .mpl_axes import Axes
-
 from matplotlib.transforms import Bbox
+from .mpl_axes import Axes
 
-import numpy as np
-
-import matplotlib.cbook as cbook
-is_string_like = cbook.is_string_like
-
-
-class ParasiteAxesBase(object):
-
-    def get_images_artists(self):
-        artists = set([a for a in self.get_children() if a.get_visible()])
-        images = set([a for a in self.images if a.get_visible()])
-
-        return list(images), list(artists - images)
 
-    def __init__(self, parent_axes, **kargs):
+class ParasiteAxesBase:
 
+    def __init__(self, parent_axes, aux_transform=None,
+                 *, viewlim_mode=None, **kwargs):
         self._parent_axes = parent_axes
-        kargs.update(dict(frameon=False))
-        self._get_base_axes_attr("__init__")(self, parent_axes.figure,
-                                        parent_axes._position, **kargs)
-
-    def cla(self):
-        self._get_base_axes_attr("cla")(self)
-
-        martist.setp(self.get_children(), visible=False)
-        self._get_lines = self._parent_axes._get_lines
-
-        # In mpl's Axes, zorders of x- and y-axis are originally set
-        # within Axes.draw().
-        if self._axisbelow:
-            self.xaxis.set_zorder(0.5)
-            self.yaxis.set_zorder(0.5)
-        else:
-            self.xaxis.set_zorder(2.5)
-            self.yaxis.set_zorder(2.5)
-
-
-_parasite_axes_classes = {}
-def parasite_axes_class_factory(axes_class=None):
-    if axes_class is None:
-        axes_class = Axes
-
-    new_class = _parasite_axes_classes.get(axes_class)
-    if new_class is None:
-        def _get_base_axes_attr(self, attrname):
-            return getattr(axes_class, attrname)
-
-        new_class = type(str("%sParasite" % (axes_class.__name__)),
-                         (ParasiteAxesBase, axes_class),
-                         {'_get_base_axes_attr': _get_base_axes_attr})
-        _parasite_axes_classes[axes_class] = new_class
-
-    return new_class
-
-ParasiteAxes = parasite_axes_class_factory()
-
-# #class ParasiteAxes(ParasiteAxesBase, Axes):
-
-#     @classmethod
-#     def _get_base_axes_attr(cls, attrname):
-#         return getattr(Axes, attrname)
-
-
-
-class ParasiteAxesAuxTransBase(object):
-    def __init__(self, parent_axes, aux_transform, viewlim_mode=None,
-                 **kwargs):
-
         self.transAux = aux_transform
         self.set_viewlim_mode(viewlim_mode)
+        kwargs["frameon"] = False
+        super().__init__(parent_axes.get_figure(root=False),
+                         parent_axes._position, **kwargs)
 
-        self._parasite_axes_class.__init__(self, parent_axes, **kwargs)
+    def clear(self):
+        super().clear()
+        martist.setp(self.get_children(), visible=False)
+        self._get_lines = self._parent_axes._get_lines
+        self._parent_axes.callbacks._connect_picklable(
+            "xlim_changed", self._sync_lims)
+        self._parent_axes.callbacks._connect_picklable(
+            "ylim_changed", self._sync_lims)
+
+    def get_axes_locator(self):
+        return self._parent_axes.get_axes_locator()
+
+    def pick(self, mouseevent):
+        # This most likely goes to Artist.pick (depending on axes_class given
+        # to the factory), which only handles pick events registered on the
+        # axes associated with each child:
+        super().pick(mouseevent)
+        # But parasite axes are additionally given pick events from their host
+        # axes (cf. HostAxesBase.pick), which we handle here:
+        for a in self.get_children():
+            if (hasattr(mouseevent.inaxes, "parasites")
+                    and self in mouseevent.inaxes.parasites):
+                a.pick(mouseevent)
+
+    # aux_transform support
 
     def _set_lim_and_transforms(self):
-
-        self.transAxes = self._parent_axes.transAxes
-
-        self.transData = \
-            self.transAux + \
-            self._parent_axes.transData
-
-        self._xaxis_transform = mtransforms.blended_transform_factory(
+        if self.transAux is not None:
+            self.transAxes = self._parent_axes.transAxes
+            self.transData = self.transAux + self._parent_axes.transData
+            self._xaxis_transform = mtransforms.blended_transform_factory(
                 self.transData, self.transAxes)
-        self._yaxis_transform = mtransforms.blended_transform_factory(
+            self._yaxis_transform = mtransforms.blended_transform_factory(
                 self.transAxes, self.transData)
+        else:
+            super()._set_lim_and_transforms()
 
     def set_viewlim_mode(self, mode):
-        if mode not in [None, "equal", "transform"]:
-            raise ValueError("Unknown mode : %s" % (mode,))
-        else:
-            self._viewlim_mode = mode
+        _api.check_in_list([None, "equal", "transform"], mode=mode)
+        self._viewlim_mode = mode
 
     def get_viewlim_mode(self):
         return self._viewlim_mode
 
-
-    def update_viewlim(self):
-        viewlim = self._parent_axes.viewLim.frozen()
+    def _sync_lims(self, parent):
+        viewlim = parent.viewLim.frozen()
         mode = self.get_viewlim_mode()
         if mode is None:
             pass
         elif mode == "equal":
-            self.axes.viewLim.set(viewlim)
+            self.viewLim.set(viewlim)
         elif mode == "transform":
-            self.axes.viewLim.set(viewlim.transformed(self.transAux.inverted()))
-        else:
-            raise ValueError("Unknown mode : %s" % (self._viewlim_mode,))
-
-
-    def _pcolor(self, method_name, *XYC, **kwargs):
-        if len(XYC) == 1:
-            C = XYC[0]
-            ny, nx = C.shape
-
-            gx = np.arange(-0.5, nx, 1.)
-            gy = np.arange(-0.5, ny, 1.)
-
-            X, Y = np.meshgrid(gx, gy)
-        else:
-            X, Y, C = XYC
-
-        pcolor_routine = self._get_base_axes_attr(method_name)
-
-        if "transform" in kwargs:
-            mesh = pcolor_routine(self, X, Y, C, **kwargs)
-        else:
-            orig_shape = X.shape
-            xy = np.vstack([X.flat, Y.flat])
-            xyt=xy.transpose()
-            wxy = self.transAux.transform(xyt)
-            gx, gy = wxy[:,0].reshape(orig_shape), wxy[:,1].reshape(orig_shape)
-            mesh = pcolor_routine(self, gx, gy, C, **kwargs)
-            mesh.set_transform(self._parent_axes.transData)
-
-        return mesh
-
-    def pcolormesh(self, *XYC, **kwargs):
-        return self._pcolor("pcolormesh", *XYC, **kwargs)
-
-    def pcolor(self, *XYC, **kwargs):
-        return self._pcolor("pcolor", *XYC, **kwargs)
-
-
-    def _contour(self, method_name, *XYCL, **kwargs):
-
-        if len(XYCL) <= 2:
-            C = XYCL[0]
-            ny, nx = C.shape
-
-            gx = np.arange(0., nx, 1.)
-            gy = np.arange(0., ny, 1.)
-
-            X,Y = np.meshgrid(gx, gy)
-            CL = XYCL
+            self.viewLim.set(viewlim.transformed(self.transAux.inverted()))
         else:
-            X, Y = XYCL[:2]
-            CL = XYCL[2:]
-
-        contour_routine = self._get_base_axes_attr(method_name)
-
-        if "transform" in kwargs:
-            cont = contour_routine(self, X, Y, *CL, **kwargs)
-        else:
-            orig_shape = X.shape
-            xy = np.vstack([X.flat, Y.flat])
-            xyt=xy.transpose()
-            wxy = self.transAux.transform(xyt)
-            gx, gy = wxy[:,0].reshape(orig_shape), wxy[:,1].reshape(orig_shape)
-            cont = contour_routine(self, gx, gy, *CL, **kwargs)
-            for c in cont.collections:
-                c.set_transform(self._parent_axes.transData)
-
-        return cont
+            _api.check_in_list([None, "equal", "transform"], mode=mode)
 
-    def contour(self, *XYCL, **kwargs):
-        return self._contour("contour", *XYCL, **kwargs)
+    # end of aux_transform support
 
-    def contourf(self, *XYCL, **kwargs):
-        return self._contour("contourf", *XYCL, **kwargs)
 
-    def apply_aspect(self, position=None):
-        self.update_viewlim()
-        self._get_base_axes_attr("apply_aspect")(self)
-        #ParasiteAxes.apply_aspect()
+parasite_axes_class_factory = cbook._make_class_factory(
+    ParasiteAxesBase, "{}Parasite")
+ParasiteAxes = parasite_axes_class_factory(Axes)
 
 
-
-_parasite_axes_auxtrans_classes = {}
-def parasite_axes_auxtrans_class_factory(axes_class=None):
-    if axes_class is None:
-        parasite_axes_class = ParasiteAxes
-    elif not issubclass(axes_class, ParasiteAxesBase):
-        parasite_axes_class = parasite_axes_class_factory(axes_class)
-    else:
-        parasite_axes_class = axes_class
-
-    new_class = _parasite_axes_auxtrans_classes.get(parasite_axes_class)
-    if new_class is None:
-        new_class = type(str("%sParasiteAuxTrans" % (parasite_axes_class.__name__)),
-                         (ParasiteAxesAuxTransBase, parasite_axes_class),
-                         {'_parasite_axes_class': parasite_axes_class,
-                         'name': 'parasite_axes'})
-        _parasite_axes_auxtrans_classes[parasite_axes_class] = new_class
-
-    return new_class
-
-
-ParasiteAxesAuxTrans = parasite_axes_auxtrans_class_factory(axes_class=ParasiteAxes)
-
-
-
-
-def _get_handles(ax):
-    handles = ax.lines[:]
-    handles.extend(ax.patches)
-    handles.extend([c for c in ax.collections
-                    if isinstance(c, mcoll.LineCollection)])
-    handles.extend([c for c in ax.collections
-                    if isinstance(c, mcoll.RegularPolyCollection)])
-    handles.extend([c for c in ax.collections
-                    if isinstance(c, mcoll.CircleCollection)])
-
-    return handles
-
-
-class HostAxesBase(object):
+class HostAxesBase:
     def __init__(self, *args, **kwargs):
-
         self.parasites = []
-        self._get_base_axes_attr("__init__")(self, *args, **kwargs)
-
+        super().__init__(*args, **kwargs)
 
-    def get_aux_axes(self, tr, viewlim_mode="equal", axes_class=None):
-        parasite_axes_class = parasite_axes_auxtrans_class_factory(axes_class)
-        ax2 = parasite_axes_class(self, tr, viewlim_mode)
+    def get_aux_axes(
+            self, tr=None, viewlim_mode="equal", axes_class=None, **kwargs):
+        """
+        Add a parasite axes to this host.
+
+        Despite this method's name, this should actually be thought of as an
+        ``add_parasite_axes`` method.
+
+        .. versionchanged:: 3.7
+           Defaults to same base axes class as host axes.
+
+        Parameters
+        ----------
+        tr : `~matplotlib.transforms.Transform` or None, default: None
+            If a `.Transform`, the following relation will hold:
+            ``parasite.transData = tr + host.transData``.
+            If None, the parasite's and the host's ``transData`` are unrelated.
+        viewlim_mode : {"equal", "transform", None}, default: "equal"
+            How the parasite's view limits are set: directly equal to the
+            parent axes ("equal"), equal after application of *tr*
+            ("transform"), or independently (None).
+        axes_class : subclass type of `~matplotlib.axes.Axes`, optional
+            The `~.axes.Axes` subclass that is instantiated.  If None, the base
+            class of the host axes is used.
+        **kwargs
+            Other parameters are forwarded to the parasite axes constructor.
+        """
+        if axes_class is None:
+            axes_class = self._base_axes_class
+        parasite_axes_class = parasite_axes_class_factory(axes_class)
+        ax2 = parasite_axes_class(
+            self, tr, viewlim_mode=viewlim_mode, **kwargs)
         # note that ax2.transData == tr + ax1.transData
-        # Anthing you draw in ax2 will match the ticks and grids of ax1.
+        # Anything you draw in ax2 will match the ticks and grids of ax1.
         self.parasites.append(ax2)
+        ax2._remove_method = self.parasites.remove
         return ax2
 
-
-    def _get_legend_handles(self, legend_handler_map=None):
-        Axes_get_legend_handles = self._get_base_axes_attr("_get_legend_handles")
-        all_handles = list(Axes_get_legend_handles(self, legend_handler_map))
-
-        for ax in self.parasites:
-            all_handles.extend(ax._get_legend_handles(legend_handler_map))
-
-        return all_handles
-
-
     def draw(self, renderer):
+        orig_children_len = len(self._children)
 
-        orig_artists = list(self.artists)
-        orig_images = list(self.images)
-
-        if hasattr(self, "get_axes_locator"):
-            locator = self.get_axes_locator()
-            if locator:
-                pos = locator(self, renderer)
-                self.set_position(pos, which="active")
-                self.apply_aspect(pos)
-            else:
-                self.apply_aspect()
+        locator = self.get_axes_locator()
+        if locator:
+            pos = locator(self, renderer)
+            self.set_position(pos, which="active")
+            self.apply_aspect(pos)
         else:
             self.apply_aspect()
 
         rect = self.get_position()
-
         for ax in self.parasites:
             ax.apply_aspect(rect)
-            images, artists = ax.get_images_artists()
-            self.images.extend(images)
-            self.artists.extend(artists)
-
-        self._get_base_axes_attr("draw")(self, renderer)
-        self.artists = orig_artists
-        self.images = orig_images
+            self._children.extend(ax.get_children())
 
+        super().draw(renderer)
+        del self._children[orig_children_len:]
 
-    def cla(self):
-
+    def clear(self):
+        super().clear()
         for ax in self.parasites:
-            ax.cla()
-
-        self._get_base_axes_attr("cla")(self)
-        #super(HostAxes, self).cla()
+            ax.clear()
 
+    def pick(self, mouseevent):
+        super().pick(mouseevent)
+        # Also pass pick events on to parasite axes and, in turn, their
+        # children (cf. ParasiteAxesBase.pick)
+        for a in self.parasites:
+            a.pick(mouseevent)
 
     def twinx(self, axes_class=None):
         """
-        call signature::
+        Create a twin of Axes with a shared x-axis but independent y-axis.
 
-          ax2 = ax.twinx()
-
-        create a twin of Axes for generating a plot with a sharex
-        x-axis but independent y axis.  The y-axis of self will have
-        ticks on left and the returned axes will have ticks on the
-        right
+        The y-axis of self will have ticks on the left and the returned axes
+        will have ticks on the right.
         """
-
-        if axes_class is None:
-            axes_class = self._get_base_axes()
-
-        parasite_axes_class = parasite_axes_class_factory(axes_class)
-
-        ax2 = parasite_axes_class(self, sharex=self, frameon=False)
-        self.parasites.append(ax2)
-
-        # for normal axes
-
-        self.axis["right"].toggle(all=False)
-        self.axis["right"].line.set_visible(True)
-
-        ax2.axis["right"].set_visible(True)
-        ax2.axis["left","top", "bottom"].toggle(all=False)
-        ax2.axis["left","top", "bottom"].line.set_visible(False)
-
-        ax2.axis["right"].toggle(all=True)
-        ax2.axis["right"].line.set_visible(False)
-
-        return ax2
+        ax = self._add_twin_axes(axes_class, sharex=self)
+        self.axis["right"].set_visible(False)
+        ax.axis["right"].set_visible(True)
+        ax.axis["left", "top", "bottom"].set_visible(False)
+        return ax
 
     def twiny(self, axes_class=None):
         """
-        call signature::
+        Create a twin of Axes with a shared y-axis but independent x-axis.
 
-          ax2 = ax.twiny()
-
-        create a twin of Axes for generating a plot with a shared
-        y-axis but independent x axis.  The x-axis of self will have
-        ticks on bottom and the returned axes will have ticks on the
-        top
+        The x-axis of self will have ticks on the bottom and the returned axes
+        will have ticks on the top.
         """
-
-        if axes_class is None:
-            axes_class = self._get_base_axes()
-
-        parasite_axes_class = parasite_axes_class_factory(axes_class)
-
-        ax2 = parasite_axes_class(self, sharey=self, frameon=False)
-        self.parasites.append(ax2)
-
-        self.axis["top"].toggle(all=False)
-        self.axis["top"].line.set_visible(True)
-
-        ax2.axis["top"].set_visible(True)
-        ax2.axis["left","right", "bottom"].toggle(all=False)
-        ax2.axis["left","right", "bottom"].line.set_visible(False)
-
-        ax2.axis["top"].toggle(all=True)
-        ax2.axis["top"].line.set_visible(False)
-
-        return ax2
-
+        ax = self._add_twin_axes(axes_class, sharey=self)
+        self.axis["top"].set_visible(False)
+        ax.axis["top"].set_visible(True)
+        ax.axis["left", "right", "bottom"].set_visible(False)
+        return ax
 
     def twin(self, aux_trans=None, axes_class=None):
         """
-        call signature::
-
-          ax2 = ax.twin()
+        Create a twin of Axes with no shared axis.
 
-        create a twin of Axes for generating a plot with a sharex
-        x-axis but independent y axis.  The y-axis of self will have
-        ticks on left and the returned axes will have ticks on the
-        right
+        While self will have ticks on the left and bottom axis, the returned
+        axes will have ticks on the top and right axis.
         """
-
-        if axes_class is None:
-            axes_class = self._get_base_axes()
-
-        parasite_axes_auxtrans_class = parasite_axes_auxtrans_class_factory(axes_class)
-
         if aux_trans is None:
-            ax2 = parasite_axes_auxtrans_class(self, mtransforms.IdentityTransform(),
-                                               viewlim_mode="equal",
-                                               )
-        else:
-            ax2 = parasite_axes_auxtrans_class(self, aux_trans,
-                                               viewlim_mode="transform",
-                                               )
-        self.parasites.append(ax2)
-
-
-        # for normal axes
-        #self.yaxis.tick_left()
-        #self.xaxis.tick_bottom()
-        #ax2.yaxis.tick_right()
-        #ax2.xaxis.set_visible(True)
-        #ax2.yaxis.set_visible(True)
-
-        #ax2.yaxis.set_label_position('right')
-        ##ax2.xaxis.tick_top()
-        #ax2.xaxis.set_label_position('top')
-
-
-        self.axis["top","right"].toggle(all=False)
-        self.axis["top","right"].line.set_visible(False)
-        #self.axis["left","bottom"].toggle(label=True)
-
-        ax2.axis["top","right"].set_visible(True)
-
-        ax2.axis["bottom","left"].toggle(all=False)
-        ax2.axis["bottom","left"].line.set_visible(False)
-
-        ax2.axis["top","right"].toggle(all=True)
-        ax2.axis["top","right"].line.set_visible(True)
-
-
-        # # for axisline axes
-        # self._axislines["right"].set_visible(False)
-        # self._axislines["top"].set_visible(False)
-        # ax2._axislines["left"].set_visible(False)
-        # ax2._axislines["bottom"].set_visible(False)
-
-        # ax2._axislines["right"].set_visible(True)
-        # ax2._axislines["top"].set_visible(True)
-        # ax2._axislines["right"].major_ticklabels.set_visible(True)
-        # ax2._axislines["top"].major_ticklabels.set_visible(True)
-
-        return ax2
-
-    def get_tightbbox(self, renderer, call_axes_locator=True):
-
-        bbs = [ax.get_tightbbox(renderer, call_axes_locator) \
-               for ax in self.parasites]
-        get_tightbbox = self._get_base_axes_attr("get_tightbbox")
-        bbs.append(get_tightbbox(self, renderer, call_axes_locator))
-
-        _bbox = Bbox.union([b for b in bbs if b.width!=0 or b.height!=0])
-
-        return _bbox
-
-
-
-_host_axes_classes = {}
-def host_axes_class_factory(axes_class=None):
-    if axes_class is None:
-        axes_class = Axes
-
-    new_class = _host_axes_classes.get(axes_class)
-    if new_class is None:
-        def _get_base_axes(self):
-            return axes_class
-
-        def _get_base_axes_attr(self, attrname):
-            return getattr(axes_class, attrname)
-
-        new_class = type(str("%sHostAxes" % (axes_class.__name__)),
-                         (HostAxesBase, axes_class),
-                         {'_get_base_axes_attr': _get_base_axes_attr,
-                          '_get_base_axes': _get_base_axes})
-
-        _host_axes_classes[axes_class] = new_class
-
-    return new_class
-
-def host_subplot_class_factory(axes_class):
-    host_axes_class = host_axes_class_factory(axes_class=axes_class)
-    subplot_host_class = subplot_class_factory(host_axes_class)
-    return subplot_host_class
-
-HostAxes = host_axes_class_factory(axes_class=Axes)
-SubplotHost = subplot_class_factory(HostAxes)
-
+            aux_trans = mtransforms.IdentityTransform()
+        ax = self._add_twin_axes(
+            axes_class, aux_transform=aux_trans, viewlim_mode="transform")
+        self.axis["top", "right"].set_visible(False)
+        ax.axis["top", "right"].set_visible(True)
+        ax.axis["left", "bottom"].set_visible(False)
+        return ax
+
+    def _add_twin_axes(self, axes_class, **kwargs):
+        """
+        Helper for `.twinx`/`.twiny`/`.twin`.
 
-def host_axes(*args, **kwargs):
+        *kwargs* are forwarded to the parasite axes constructor.
+        """
+        if axes_class is None:
+            axes_class = self._base_axes_class
+        ax = parasite_axes_class_factory(axes_class)(self, **kwargs)
+        self.parasites.append(ax)
+        ax._remove_method = self._remove_any_twin
+        return ax
+
+    def _remove_any_twin(self, ax):
+        self.parasites.remove(ax)
+        restore = ["top", "right"]
+        if ax._sharex:
+            restore.remove("top")
+        if ax._sharey:
+            restore.remove("right")
+        self.axis[tuple(restore)].set_visible(True)
+        self.axis[tuple(restore)].toggle(ticklabels=False, label=False)
+
+    def get_tightbbox(self, renderer=None, *, call_axes_locator=True,
+                      bbox_extra_artists=None):
+        bbs = [
+            *[ax.get_tightbbox(renderer, call_axes_locator=call_axes_locator)
+              for ax in self.parasites],
+            super().get_tightbbox(renderer,
+                                  call_axes_locator=call_axes_locator,
+                                  bbox_extra_artists=bbox_extra_artists)]
+        return Bbox.union([b for b in bbs if b.width != 0 or b.height != 0])
+
+
+host_axes_class_factory = host_subplot_class_factory = \
+    cbook._make_class_factory(HostAxesBase, "{}HostAxes", "_base_axes_class")
+HostAxes = SubplotHost = host_axes_class_factory(Axes)
+
+
+def host_axes(*args, axes_class=Axes, figure=None, **kwargs):
+    """
+    Create axes that can act as a hosts to parasitic axes.
+
+    Parameters
+    ----------
+    figure : `~matplotlib.figure.Figure`
+        Figure to which the axes will be added. Defaults to the current figure
+        `.pyplot.gcf()`.
+
+    *args, **kwargs
+        Will be passed on to the underlying `~.axes.Axes` object creation.
+    """
     import matplotlib.pyplot as plt
-    axes_class = kwargs.pop("axes_class", None)
     host_axes_class = host_axes_class_factory(axes_class)
-    fig = plt.gcf()
-    ax = host_axes_class(fig, *args, **kwargs)
-    fig.add_axes(ax)
-    plt.draw_if_interactive()
+    if figure is None:
+        figure = plt.gcf()
+    ax = host_axes_class(figure, *args, **kwargs)
+    figure.add_axes(ax)
     return ax
 
-def host_subplot(*args, **kwargs):
-    import matplotlib.pyplot as plt
-    axes_class = kwargs.pop("axes_class", None)
-    host_subplot_class = host_subplot_class_factory(axes_class)
-    fig = plt.gcf()
-    ax = host_subplot_class(fig, *args, **kwargs)
-    fig.add_subplot(ax)
-    plt.draw_if_interactive()
-    return ax
+
+host_subplot = host_axes
diff --git a/lib/mpl_toolkits/axes_grid1/tests/__init__.py b/lib/mpl_toolkits/axes_grid1/tests/__init__.py
new file mode 100644
index 000000000000..ea4d8ed16a6a
--- /dev/null
+++ b/lib/mpl_toolkits/axes_grid1/tests/__init__.py
@@ -0,0 +1,10 @@
+from pathlib import Path
+
+
+# Check that the test directories exist
+if not (Path(__file__).parent / "baseline_images").exists():
+    raise OSError(
+        'The baseline image directory does not exist. '
+        'This is most likely because the test data is not installed. '
+        'You may need to install matplotlib from source to get the '
+        'test data.')
diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/anchored_artists.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/anchored_artists.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/image_grid.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/image_grid.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/image_grid_each_left_label_mode_all.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/image_grid_each_left_label_mode_all.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/imagegrid_cbar_mode.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/imagegrid_cbar_mode.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/inset_axes.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/inset_axes.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/rgb_axes.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/rgb_axes.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/twin_axes_empty_and_removed.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/twin_axes_empty_and_removed.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/zoomed_axes.png b/lib/mpl_toolkits/axes_grid1/tests/baseline_images/test_axes_grid1/zoomed_axes.png
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diff --git a/lib/mpl_toolkits/axes_grid1/tests/conftest.py b/lib/mpl_toolkits/axes_grid1/tests/conftest.py
new file mode 100644
index 000000000000..61c2de3e07ba
--- /dev/null
+++ b/lib/mpl_toolkits/axes_grid1/tests/conftest.py
@@ -0,0 +1,2 @@
+from matplotlib.testing.conftest import (mpl_test_settings,  # noqa
+                                         pytest_configure, pytest_unconfigure)
diff --git a/lib/mpl_toolkits/axes_grid1/tests/meson.build b/lib/mpl_toolkits/axes_grid1/tests/meson.build
new file mode 100644
index 000000000000..980bf173cc10
--- /dev/null
+++ b/lib/mpl_toolkits/axes_grid1/tests/meson.build
@@ -0,0 +1,12 @@
+python_sources = [
+  '__init__.py',
+  'conftest.py',
+  'test_axes_grid1.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/axes_grid1/tests')
+
+install_subdir(
+  'baseline_images',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'mpl_toolkits/axes_grid1/tests'))
diff --git a/lib/mpl_toolkits/axes_grid1/tests/test_axes_grid1.py b/lib/mpl_toolkits/axes_grid1/tests/test_axes_grid1.py
new file mode 100644
index 000000000000..26f0aaa37de0
--- /dev/null
+++ b/lib/mpl_toolkits/axes_grid1/tests/test_axes_grid1.py
@@ -0,0 +1,808 @@
+from itertools import product
+import io
+import platform
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+from matplotlib import cbook
+from matplotlib.backend_bases import MouseEvent
+from matplotlib.colors import LogNorm
+from matplotlib.patches import Circle, Ellipse
+from matplotlib.transforms import Affine2D, Bbox, TransformedBbox
+from matplotlib.testing.decorators import (
+    check_figures_equal, image_comparison, remove_ticks_and_titles)
+
+from mpl_toolkits.axes_grid1 import (
+    axes_size as Size,
+    host_subplot, make_axes_locatable,
+    Grid, AxesGrid, ImageGrid)
+from mpl_toolkits.axes_grid1.anchored_artists import (
+    AnchoredAuxTransformBox, AnchoredDrawingArea,
+    AnchoredDirectionArrows, AnchoredSizeBar)
+from mpl_toolkits.axes_grid1.axes_divider import (
+    Divider, HBoxDivider, make_axes_area_auto_adjustable, SubplotDivider,
+    VBoxDivider)
+from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
+from mpl_toolkits.axes_grid1.inset_locator import (
+    zoomed_inset_axes, mark_inset, inset_axes, BboxConnectorPatch)
+from mpl_toolkits.axes_grid1.parasite_axes import HostAxes
+import mpl_toolkits.axes_grid1.mpl_axes
+import pytest
+
+import numpy as np
+from numpy.testing import assert_array_equal, assert_array_almost_equal
+
+
+def test_divider_append_axes():
+    fig, ax = plt.subplots()
+    divider = make_axes_locatable(ax)
+    axs = {
+        "main": ax,
+        "top": divider.append_axes("top", 1.2, pad=0.1, sharex=ax),
+        "bottom": divider.append_axes("bottom", 1.2, pad=0.1, sharex=ax),
+        "left": divider.append_axes("left", 1.2, pad=0.1, sharey=ax),
+        "right": divider.append_axes("right", 1.2, pad=0.1, sharey=ax),
+    }
+    fig.canvas.draw()
+    bboxes = {k: axs[k].get_window_extent() for k in axs}
+    dpi = fig.dpi
+    assert bboxes["top"].height == pytest.approx(1.2 * dpi)
+    assert bboxes["bottom"].height == pytest.approx(1.2 * dpi)
+    assert bboxes["left"].width == pytest.approx(1.2 * dpi)
+    assert bboxes["right"].width == pytest.approx(1.2 * dpi)
+    assert bboxes["top"].y0 - bboxes["main"].y1 == pytest.approx(0.1 * dpi)
+    assert bboxes["main"].y0 - bboxes["bottom"].y1 == pytest.approx(0.1 * dpi)
+    assert bboxes["main"].x0 - bboxes["left"].x1 == pytest.approx(0.1 * dpi)
+    assert bboxes["right"].x0 - bboxes["main"].x1 == pytest.approx(0.1 * dpi)
+    assert bboxes["left"].y0 == bboxes["main"].y0 == bboxes["right"].y0
+    assert bboxes["left"].y1 == bboxes["main"].y1 == bboxes["right"].y1
+    assert bboxes["top"].x0 == bboxes["main"].x0 == bboxes["bottom"].x0
+    assert bboxes["top"].x1 == bboxes["main"].x1 == bboxes["bottom"].x1
+
+
+# Update style when regenerating the test image
+@image_comparison(['twin_axes_empty_and_removed'], extensions=["png"], tol=1,
+                  style=('classic', '_classic_test_patch'))
+def test_twin_axes_empty_and_removed():
+    # Purely cosmetic font changes (avoid overlap)
+    mpl.rcParams.update(
+        {"font.size": 8, "xtick.labelsize": 8, "ytick.labelsize": 8})
+    generators = ["twinx", "twiny", "twin"]
+    modifiers = ["", "host invisible", "twin removed", "twin invisible",
+                 "twin removed\nhost invisible"]
+    # Unmodified host subplot at the beginning for reference
+    h = host_subplot(len(modifiers)+1, len(generators), 2)
+    h.text(0.5, 0.5, "host_subplot",
+           horizontalalignment="center", verticalalignment="center")
+    # Host subplots with various modifications (twin*, visibility) applied
+    for i, (mod, gen) in enumerate(product(modifiers, generators),
+                                   len(generators) + 1):
+        h = host_subplot(len(modifiers)+1, len(generators), i)
+        t = getattr(h, gen)()
+        if "twin invisible" in mod:
+            t.axis[:].set_visible(False)
+        if "twin removed" in mod:
+            t.remove()
+        if "host invisible" in mod:
+            h.axis[:].set_visible(False)
+        h.text(0.5, 0.5, gen + ("\n" + mod if mod else ""),
+               horizontalalignment="center", verticalalignment="center")
+    plt.subplots_adjust(wspace=0.5, hspace=1)
+
+
+def test_twin_axes_both_with_units():
+    host = host_subplot(111)
+    host.yaxis.axis_date()
+    host.plot([0, 1, 2], [0, 1, 2])
+    twin = host.twinx()
+    twin.plot(["a", "b", "c"])
+    assert host.get_yticklabels()[0].get_text() == "00:00:00"
+    assert twin.get_yticklabels()[0].get_text() == "a"
+
+
+def test_axesgrid_colorbar_log_smoketest():
+    fig = plt.figure()
+    grid = AxesGrid(fig, 111,  # modified to be only subplot
+                    nrows_ncols=(1, 1),
+                    label_mode="L",
+                    cbar_location="top",
+                    cbar_mode="single",
+                    )
+
+    Z = 10000 * np.random.rand(10, 10)
+    im = grid[0].imshow(Z, interpolation="nearest", norm=LogNorm())
+
+    grid.cbar_axes[0].colorbar(im)
+
+
+def test_inset_colorbar_tight_layout_smoketest():
+    fig, ax = plt.subplots(1, 1)
+    pts = ax.scatter([0, 1], [0, 1], c=[1, 5])
+
+    cax = inset_axes(ax, width="3%", height="70%")
+    plt.colorbar(pts, cax=cax)
+
+    with pytest.warns(UserWarning, match="This figure includes Axes"):
+        # Will warn, but not raise an error
+        plt.tight_layout()
+
+
+@image_comparison(['inset_locator.png'], style='default', remove_text=True)
+def test_inset_locator():
+    fig, ax = plt.subplots(figsize=[5, 4])
+
+    # prepare the demo image
+    # Z is a 15x15 array
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+    Z2 = np.zeros((150, 150))
+    ny, nx = Z.shape
+    Z2[30:30+ny, 30:30+nx] = Z
+
+    ax.imshow(Z2, extent=extent, interpolation="nearest",
+              origin="lower")
+
+    axins = zoomed_inset_axes(ax, zoom=6, loc='upper right')
+    axins.imshow(Z2, extent=extent, interpolation="nearest",
+                 origin="lower")
+    axins.yaxis.get_major_locator().set_params(nbins=7)
+    axins.xaxis.get_major_locator().set_params(nbins=7)
+    # sub region of the original image
+    x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
+    axins.set_xlim(x1, x2)
+    axins.set_ylim(y1, y2)
+
+    plt.xticks(visible=False)
+    plt.yticks(visible=False)
+
+    # draw a bbox of the region of the inset axes in the parent axes and
+    # connecting lines between the bbox and the inset axes area
+    mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
+
+    asb = AnchoredSizeBar(ax.transData,
+                          0.5,
+                          '0.5',
+                          loc='lower center',
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+
+@image_comparison(['inset_axes.png'], style='default', remove_text=True)
+def test_inset_axes():
+    fig, ax = plt.subplots(figsize=[5, 4])
+
+    # prepare the demo image
+    # Z is a 15x15 array
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+    Z2 = np.zeros((150, 150))
+    ny, nx = Z.shape
+    Z2[30:30+ny, 30:30+nx] = Z
+
+    ax.imshow(Z2, extent=extent, interpolation="nearest",
+              origin="lower")
+
+    # creating our inset axes with a bbox_transform parameter
+    axins = inset_axes(ax, width=1., height=1., bbox_to_anchor=(1, 1),
+                       bbox_transform=ax.transAxes)
+
+    axins.imshow(Z2, extent=extent, interpolation="nearest",
+                 origin="lower")
+    axins.yaxis.get_major_locator().set_params(nbins=7)
+    axins.xaxis.get_major_locator().set_params(nbins=7)
+    # sub region of the original image
+    x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
+    axins.set_xlim(x1, x2)
+    axins.set_ylim(y1, y2)
+
+    plt.xticks(visible=False)
+    plt.yticks(visible=False)
+
+    # draw a bbox of the region of the inset axes in the parent axes and
+    # connecting lines between the bbox and the inset axes area
+    mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
+
+    asb = AnchoredSizeBar(ax.transData,
+                          0.5,
+                          '0.5',
+                          loc='lower center',
+                          pad=0.1, borderpad=0.5, sep=5,
+                          frameon=False)
+    ax.add_artist(asb)
+
+
+def test_inset_axes_complete():
+    dpi = 100
+    figsize = (6, 5)
+    fig, ax = plt.subplots(figsize=figsize, dpi=dpi)
+    fig.subplots_adjust(.1, .1, .9, .9)
+
+    ins = inset_axes(ax, width=2., height=2., borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents,
+        [(0.9*figsize[0]-2.)/figsize[0], (0.9*figsize[1]-2.)/figsize[1],
+         0.9, 0.9])
+
+    ins = inset_axes(ax, width="40%", height="30%", borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents, [.9-.8*.4, .9-.8*.3, 0.9, 0.9])
+
+    ins = inset_axes(ax, width=1., height=1.2, bbox_to_anchor=(200, 100),
+                     loc=3, borderpad=0)
+    fig.canvas.draw()
+    assert_array_almost_equal(
+        ins.get_position().extents,
+        [200/dpi/figsize[0], 100/dpi/figsize[1],
+         (200/dpi+1)/figsize[0], (100/dpi+1.2)/figsize[1]])
+
+    ins1 = inset_axes(ax, width="35%", height="60%", loc=3, borderpad=1)
+    ins2 = inset_axes(ax, width="100%", height="100%",
+                      bbox_to_anchor=(0, 0, .35, .60),
+                      bbox_transform=ax.transAxes, loc=3, borderpad=1)
+    fig.canvas.draw()
+    assert_array_equal(ins1.get_position().extents,
+                       ins2.get_position().extents)
+
+    with pytest.raises(ValueError):
+        ins = inset_axes(ax, width="40%", height="30%",
+                         bbox_to_anchor=(0.4, 0.5))
+
+    with pytest.warns(UserWarning):
+        ins = inset_axes(ax, width="40%", height="30%",
+                         bbox_transform=ax.transAxes)
+
+
+def test_inset_axes_tight():
+    # gh-26287 found that inset_axes raised with bbox_inches=tight
+    fig, ax = plt.subplots()
+    inset_axes(ax, width=1.3, height=0.9)
+
+    f = io.BytesIO()
+    fig.savefig(f, bbox_inches="tight")
+
+
+@image_comparison(['fill_facecolor.png'], remove_text=True, style='mpl20')
+def test_fill_facecolor():
+    fig, ax = plt.subplots(1, 5)
+    fig.set_size_inches(5, 5)
+    for i in range(1, 4):
+        ax[i].yaxis.set_visible(False)
+    ax[4].yaxis.tick_right()
+    bbox = Bbox.from_extents(0, 0.4, 1, 0.6)
+
+    # fill with blue by setting 'fc' field
+    bbox1 = TransformedBbox(bbox, ax[0].transData)
+    bbox2 = TransformedBbox(bbox, ax[1].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox1, bbox2, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", fc="b")
+    p.set_clip_on(False)
+    ax[0].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[0], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[0], axins, loc1=2, loc2=4, fc="b", ec="0.5")
+
+    # fill with yellow by setting 'facecolor' field
+    bbox3 = TransformedBbox(bbox, ax[1].transData)
+    bbox4 = TransformedBbox(bbox, ax[2].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox3, bbox4, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", facecolor="y")
+    p.set_clip_on(False)
+    ax[1].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[1], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[1], axins, loc1=2, loc2=4, facecolor="y", ec="0.5")
+
+    # fill with green by setting 'color' field
+    bbox5 = TransformedBbox(bbox, ax[2].transData)
+    bbox6 = TransformedBbox(bbox, ax[3].transData)
+    # set color to BboxConnectorPatch
+    p = BboxConnectorPatch(
+        bbox5, bbox6, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", color="g")
+    p.set_clip_on(False)
+    ax[2].add_patch(p)
+    # set color to marked area
+    axins = zoomed_inset_axes(ax[2], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    plt.gca().axes.xaxis.set_ticks([])
+    plt.gca().axes.yaxis.set_ticks([])
+    mark_inset(ax[2], axins, loc1=2, loc2=4, color="g", ec="0.5")
+
+    # fill with green but color won't show if set fill to False
+    bbox7 = TransformedBbox(bbox, ax[3].transData)
+    bbox8 = TransformedBbox(bbox, ax[4].transData)
+    # BboxConnectorPatch won't show green
+    p = BboxConnectorPatch(
+        bbox7, bbox8, loc1a=1, loc2a=2, loc1b=4, loc2b=3,
+        ec="r", fc="g", fill=False)
+    p.set_clip_on(False)
+    ax[3].add_patch(p)
+    # marked area won't show green
+    axins = zoomed_inset_axes(ax[3], 1, loc='upper right')
+    axins.set_xlim(0, 0.2)
+    axins.set_ylim(0, 0.2)
+    axins.xaxis.set_ticks([])
+    axins.yaxis.set_ticks([])
+    mark_inset(ax[3], axins, loc1=2, loc2=4, fc="g", ec="0.5", fill=False)
+
+
+# Update style when regenerating the test image
+@image_comparison(['zoomed_axes.png', 'inverted_zoomed_axes.png'],
+                  style=('classic', '_classic_test_patch'),
+                  tol=0 if platform.machine() == 'x86_64' else 0.02)
+def test_zooming_with_inverted_axes():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], [1, 2, 3])
+    ax.axis([1, 3, 1, 3])
+    inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
+    inset_ax.axis([1.1, 1.4, 1.1, 1.4])
+
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3], [1, 2, 3])
+    ax.axis([3, 1, 3, 1])
+    inset_ax = zoomed_inset_axes(ax, zoom=2.5, loc='lower right')
+    inset_ax.axis([1.4, 1.1, 1.4, 1.1])
+
+
+# Update style when regenerating the test image
+@image_comparison(['anchored_direction_arrows.png'],
+                  tol=0 if platform.machine() == 'x86_64' else 0.01,
+                  style=('classic', '_classic_test_patch'))
+def test_anchored_direction_arrows():
+    fig, ax = plt.subplots()
+    ax.imshow(np.zeros((10, 10)), interpolation='nearest')
+
+    simple_arrow = AnchoredDirectionArrows(ax.transAxes, 'X', 'Y')
+    ax.add_artist(simple_arrow)
+
+
+# Update style when regenerating the test image
+@image_comparison(['anchored_direction_arrows_many_args.png'],
+                  style=('classic', '_classic_test_patch'))
+def test_anchored_direction_arrows_many_args():
+    fig, ax = plt.subplots()
+    ax.imshow(np.ones((10, 10)))
+
+    direction_arrows = AnchoredDirectionArrows(
+            ax.transAxes, 'A', 'B', loc='upper right', color='red',
+            aspect_ratio=-0.5, pad=0.6, borderpad=2, frameon=True, alpha=0.7,
+            sep_x=-0.06, sep_y=-0.08, back_length=0.1, head_width=9,
+            head_length=10, tail_width=5)
+    ax.add_artist(direction_arrows)
+
+
+def test_axes_locatable_position():
+    fig, ax = plt.subplots()
+    divider = make_axes_locatable(ax)
+    with mpl.rc_context({"figure.subplot.wspace": 0.02}):
+        cax = divider.append_axes('right', size='5%')
+    fig.canvas.draw()
+    assert np.isclose(cax.get_position(original=False).width,
+                      0.03621495327102808)
+
+
+@image_comparison(['image_grid_each_left_label_mode_all.png'], style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid_each_left_label_mode_all():
+    imdata = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (3, 3))
+    grid = ImageGrid(fig, (1, 1, 1), nrows_ncols=(3, 2), axes_pad=(0.5, 0.3),
+                     cbar_mode="each", cbar_location="left", cbar_size="15%",
+                     label_mode="all")
+    # 3-tuple rect => SubplotDivider
+    assert isinstance(grid.get_divider(), SubplotDivider)
+    assert grid.get_axes_pad() == (0.5, 0.3)
+    assert grid.get_aspect()  # True by default for ImageGrid
+    for ax, cax in zip(grid, grid.cbar_axes):
+        im = ax.imshow(imdata, interpolation='none')
+        cax.colorbar(im)
+
+
+@image_comparison(['image_grid_single_bottom_label_mode_1.png'], style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid_single_bottom():
+    imdata = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (2.5, 1.5))
+    grid = ImageGrid(fig, (0, 0, 1, 1), nrows_ncols=(1, 3),
+                     axes_pad=(0.2, 0.15), cbar_mode="single", cbar_pad=0.3,
+                     cbar_location="bottom", cbar_size="10%", label_mode="1")
+    # 4-tuple rect => Divider, isinstance will give True for SubplotDivider
+    assert type(grid.get_divider()) is Divider
+    for i in range(3):
+        im = grid[i].imshow(imdata, interpolation='none')
+    grid.cbar_axes[0].colorbar(im)
+
+
+def test_image_grid_label_mode_invalid():
+    fig = plt.figure()
+    with pytest.raises(ValueError, match="'foo' is not a valid value for mode"):
+        ImageGrid(fig, (0, 0, 1, 1), (2, 1), label_mode="foo")
+
+
+@image_comparison(['image_grid.png'],
+                  remove_text=True, style='mpl20',
+                  savefig_kwarg={'bbox_inches': 'tight'})
+def test_image_grid():
+    # test that image grid works with bbox_inches=tight.
+    im = np.arange(100).reshape((10, 10))
+
+    fig = plt.figure(1, (4, 4))
+    grid = ImageGrid(fig, 111, nrows_ncols=(2, 2), axes_pad=0.1)
+    assert grid.get_axes_pad() == (0.1, 0.1)
+    for i in range(4):
+        grid[i].imshow(im, interpolation='nearest')
+
+
+def test_gettightbbox():
+    fig, ax = plt.subplots(figsize=(8, 6))
+
+    l, = ax.plot([1, 2, 3], [0, 1, 0])
+
+    ax_zoom = zoomed_inset_axes(ax, 4)
+    ax_zoom.plot([1, 2, 3], [0, 1, 0])
+
+    mark_inset(ax, ax_zoom, loc1=1, loc2=3, fc="none", ec='0.3')
+
+    remove_ticks_and_titles(fig)
+    bbox = fig.get_tightbbox(fig.canvas.get_renderer())
+    np.testing.assert_array_almost_equal(bbox.extents,
+                                         [-17.7, -13.9, 7.2, 5.4])
+
+
+def test_gettightbbox_parasite():
+    fig = plt.figure()
+
+    y0 = 0.3
+    horiz = [Size.Scaled(1.0)]
+    vert = [Size.Scaled(1.0)]
+    ax0_div = Divider(fig, [0.1, y0, 0.8, 0.2], horiz, vert)
+    ax1_div = Divider(fig, [0.1, 0.5, 0.8, 0.4], horiz, vert)
+
+    ax0 = fig.add_subplot(
+        xticks=[], yticks=[], axes_locator=ax0_div.new_locator(nx=0, ny=0))
+    ax1 = fig.add_subplot(
+        axes_class=HostAxes, axes_locator=ax1_div.new_locator(nx=0, ny=0))
+    aux_ax = ax1.get_aux_axes(Affine2D())
+
+    fig.canvas.draw()
+    rdr = fig.canvas.get_renderer()
+    assert rdr.get_canvas_width_height()[1] * y0 / fig.dpi == fig.get_tightbbox(rdr).y0
+
+
+@pytest.mark.parametrize("click_on", ["big", "small"])
+@pytest.mark.parametrize("big_on_axes,small_on_axes", [
+    ("gca", "gca"),
+    ("host", "host"),
+    ("host", "parasite"),
+    ("parasite", "host"),
+    ("parasite", "parasite")
+])
+def test_picking_callbacks_overlap(big_on_axes, small_on_axes, click_on):
+    """Test pick events on normal, host or parasite axes."""
+    # Two rectangles are drawn and "clicked on", a small one and a big one
+    # enclosing the small one. The axis on which they are drawn as well as the
+    # rectangle that is clicked on are varied.
+    # In each case we expect that both rectangles are picked if we click on the
+    # small one and only the big one is picked if we click on the big one.
+    # Also tests picking on normal axes ("gca") as a control.
+    big = plt.Rectangle((0.25, 0.25), 0.5, 0.5, picker=5)
+    small = plt.Rectangle((0.4, 0.4), 0.2, 0.2, facecolor="r", picker=5)
+    # Machinery for "receiving" events
+    received_events = []
+    def on_pick(event):
+        received_events.append(event)
+    plt.gcf().canvas.mpl_connect('pick_event', on_pick)
+    # Shortcut
+    rectangles_on_axes = (big_on_axes, small_on_axes)
+    # Axes setup
+    axes = {"gca": None, "host": None, "parasite": None}
+    if "gca" in rectangles_on_axes:
+        axes["gca"] = plt.gca()
+    if "host" in rectangles_on_axes or "parasite" in rectangles_on_axes:
+        axes["host"] = host_subplot(111)
+        axes["parasite"] = axes["host"].twin()
+    # Add rectangles to axes
+    axes[big_on_axes].add_patch(big)
+    axes[small_on_axes].add_patch(small)
+    # Simulate picking with click mouse event
+    if click_on == "big":
+        click_axes = axes[big_on_axes]
+        axes_coords = (0.3, 0.3)
+    else:
+        click_axes = axes[small_on_axes]
+        axes_coords = (0.5, 0.5)
+    # In reality mouse events never happen on parasite axes, only host axes
+    if click_axes is axes["parasite"]:
+        click_axes = axes["host"]
+    (x, y) = click_axes.transAxes.transform(axes_coords)
+    m = MouseEvent("button_press_event", click_axes.get_figure(root=True).canvas, x, y,
+                   button=1)
+    click_axes.pick(m)
+    # Checks
+    expected_n_events = 2 if click_on == "small" else 1
+    assert len(received_events) == expected_n_events
+    event_rects = [event.artist for event in received_events]
+    assert big in event_rects
+    if click_on == "small":
+        assert small in event_rects
+
+
+@image_comparison(['anchored_artists.png'], remove_text=True, style='mpl20')
+def test_anchored_artists():
+    fig, ax = plt.subplots(figsize=(3, 3))
+    ada = AnchoredDrawingArea(40, 20, 0, 0, loc='upper right', pad=0.,
+                              frameon=False)
+    p1 = Circle((10, 10), 10)
+    ada.drawing_area.add_artist(p1)
+    p2 = Circle((30, 10), 5, fc="r")
+    ada.drawing_area.add_artist(p2)
+    ax.add_artist(ada)
+
+    box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
+    el = Ellipse((0, 0), width=0.1, height=0.4, angle=30, color='cyan')
+    box.drawing_area.add_artist(el)
+    ax.add_artist(box)
+
+    # This block used to test the AnchoredEllipse class, but that was removed. The block
+    # remains, though it duplicates the above ellipse, so that the test image doesn't
+    # need to be regenerated.
+    box = AnchoredAuxTransformBox(ax.transData, loc='lower left', frameon=True,
+                                  pad=0.5, borderpad=0.4)
+    el = Ellipse((0, 0), width=0.1, height=0.25, angle=-60)
+    box.drawing_area.add_artist(el)
+    ax.add_artist(box)
+
+    asb = AnchoredSizeBar(ax.transData, 0.2, r"0.2 units", loc='lower right',
+                          pad=0.3, borderpad=0.4, sep=4, fill_bar=True,
+                          frameon=False, label_top=True, prop={'size': 20},
+                          size_vertical=0.05, color='green')
+    ax.add_artist(asb)
+
+
+def test_hbox_divider():
+    arr1 = np.arange(20).reshape((4, 5))
+    arr2 = np.arange(20).reshape((5, 4))
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    ax1.imshow(arr1)
+    ax2.imshow(arr2)
+
+    pad = 0.5  # inches.
+    divider = HBoxDivider(
+        fig, 111,  # Position of combined axes.
+        horizontal=[Size.AxesX(ax1), Size.Fixed(pad), Size.AxesX(ax2)],
+        vertical=[Size.AxesY(ax1), Size.Scaled(1), Size.AxesY(ax2)])
+    ax1.set_axes_locator(divider.new_locator(0))
+    ax2.set_axes_locator(divider.new_locator(2))
+
+    fig.canvas.draw()
+    p1 = ax1.get_position()
+    p2 = ax2.get_position()
+    assert p1.height == p2.height
+    assert p2.width / p1.width == pytest.approx((4 / 5) ** 2)
+
+
+def test_vbox_divider():
+    arr1 = np.arange(20).reshape((4, 5))
+    arr2 = np.arange(20).reshape((5, 4))
+
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    ax1.imshow(arr1)
+    ax2.imshow(arr2)
+
+    pad = 0.5  # inches.
+    divider = VBoxDivider(
+        fig, 111,  # Position of combined axes.
+        horizontal=[Size.AxesX(ax1), Size.Scaled(1), Size.AxesX(ax2)],
+        vertical=[Size.AxesY(ax1), Size.Fixed(pad), Size.AxesY(ax2)])
+    ax1.set_axes_locator(divider.new_locator(0))
+    ax2.set_axes_locator(divider.new_locator(2))
+
+    fig.canvas.draw()
+    p1 = ax1.get_position()
+    p2 = ax2.get_position()
+    assert p1.width == p2.width
+    assert p1.height / p2.height == pytest.approx((4 / 5) ** 2)
+
+
+def test_axes_class_tuple():
+    fig = plt.figure()
+    axes_class = (mpl_toolkits.axes_grid1.mpl_axes.Axes, {})
+    gr = AxesGrid(fig, 111, nrows_ncols=(1, 1), axes_class=axes_class)
+
+
+def test_grid_axes_lists():
+    """Test Grid axes_all, axes_row and axes_column relationship."""
+    fig = plt.figure()
+    grid = Grid(fig, 111, (2, 3), direction="row")
+    assert_array_equal(grid, grid.axes_all)
+    assert_array_equal(grid.axes_row, np.transpose(grid.axes_column))
+    assert_array_equal(grid, np.ravel(grid.axes_row), "row")
+    assert grid.get_geometry() == (2, 3)
+    grid = Grid(fig, 111, (2, 3), direction="column")
+    assert_array_equal(grid, np.ravel(grid.axes_column), "column")
+
+
+@pytest.mark.parametrize('direction', ('row', 'column'))
+def test_grid_axes_position(direction):
+    """Test positioning of the axes in Grid."""
+    fig = plt.figure()
+    grid = Grid(fig, 111, (2, 2), direction=direction)
+    loc = [ax.get_axes_locator() for ax in np.ravel(grid.axes_row)]
+    # Test nx.
+    assert loc[1].args[0] > loc[0].args[0]
+    assert loc[0].args[0] == loc[2].args[0]
+    assert loc[3].args[0] == loc[1].args[0]
+    # Test ny.
+    assert loc[2].args[1] < loc[0].args[1]
+    assert loc[0].args[1] == loc[1].args[1]
+    assert loc[3].args[1] == loc[2].args[1]
+
+
+@pytest.mark.parametrize('rect, n_axes, error, message', (
+    ((1, 1), None, TypeError, "Incorrect rect format"),
+    (111, -1, ValueError, "n_axes must be positive"),
+    (111, 7, ValueError, "n_axes must be positive"),
+))
+def test_grid_errors(rect, n_axes, error, message):
+    fig = plt.figure()
+    with pytest.raises(error, match=message):
+        Grid(fig, rect, (2, 3), n_axes=n_axes)
+
+
+@pytest.mark.parametrize('anchor, error, message', (
+    (None, TypeError, "anchor must be str"),
+    ("CC", ValueError, "'CC' is not a valid value for anchor"),
+    ((1, 1, 1), TypeError, "anchor must be str"),
+))
+def test_divider_errors(anchor, error, message):
+    fig = plt.figure()
+    with pytest.raises(error, match=message):
+        Divider(fig, [0, 0, 1, 1], [Size.Fixed(1)], [Size.Fixed(1)],
+                anchor=anchor)
+
+
+@check_figures_equal()
+def test_mark_inset_unstales_viewlim(fig_test, fig_ref):
+    inset, full = fig_test.subplots(1, 2)
+    full.plot([0, 5], [0, 5])
+    inset.set(xlim=(1, 2), ylim=(1, 2))
+    # Check that mark_inset unstales full's viewLim before drawing the marks.
+    mark_inset(full, inset, 1, 4)
+
+    inset, full = fig_ref.subplots(1, 2)
+    full.plot([0, 5], [0, 5])
+    inset.set(xlim=(1, 2), ylim=(1, 2))
+    mark_inset(full, inset, 1, 4)
+    # Manually unstale the full's viewLim.
+    fig_ref.canvas.draw()
+
+
+def test_auto_adjustable():
+    fig = plt.figure()
+    ax = fig.add_axes([0, 0, 1, 1])
+    pad = 0.1
+    make_axes_area_auto_adjustable(ax, pad=pad)
+    fig.canvas.draw()
+    tbb = ax.get_tightbbox()
+    assert tbb.x0 == pytest.approx(pad * fig.dpi)
+    assert tbb.x1 == pytest.approx(fig.bbox.width - pad * fig.dpi)
+    assert tbb.y0 == pytest.approx(pad * fig.dpi)
+    assert tbb.y1 == pytest.approx(fig.bbox.height - pad * fig.dpi)
+
+
+# Update style when regenerating the test image
+@image_comparison(['rgb_axes.png'], remove_text=True,
+                  style=('classic', '_classic_test_patch'))
+def test_rgb_axes():
+    fig = plt.figure()
+    ax = RGBAxes(fig, (0.1, 0.1, 0.8, 0.8), pad=0.1)
+    rng = np.random.default_rng(19680801)
+    r = rng.random((5, 5))
+    g = rng.random((5, 5))
+    b = rng.random((5, 5))
+    ax.imshow_rgb(r, g, b, interpolation='none')
+
+
+# The original version of this test relied on mpl_toolkits's slightly different
+# colorbar implementation; moving to matplotlib's own colorbar implementation
+# caused the small image comparison error.
+@image_comparison(['imagegrid_cbar_mode.png'],
+                  remove_text=True, style='mpl20', tol=0.3)
+def test_imagegrid_cbar_mode_edge():
+    arr = np.arange(16).reshape((4, 4))
+
+    fig = plt.figure(figsize=(18, 9))
+
+    positions = (241, 242, 243, 244, 245, 246, 247, 248)
+    directions = ['row']*4 + ['column']*4
+    cbar_locations = ['left', 'right', 'top', 'bottom']*2
+
+    for position, direction, location in zip(
+            positions, directions, cbar_locations):
+        grid = ImageGrid(fig, position,
+                         nrows_ncols=(2, 2),
+                         direction=direction,
+                         cbar_location=location,
+                         cbar_size='20%',
+                         cbar_mode='edge')
+        ax1, ax2, ax3, ax4 = grid
+
+        ax1.imshow(arr, cmap='nipy_spectral')
+        ax2.imshow(arr.T, cmap='hot')
+        ax3.imshow(np.hypot(arr, arr.T), cmap='jet')
+        ax4.imshow(np.arctan2(arr, arr.T), cmap='hsv')
+
+        # In each row/column, the "first" colorbars must be overwritten by the
+        # "second" ones.  To achieve this, clear out the axes first.
+        for ax in grid:
+            ax.cax.cla()
+            cb = ax.cax.colorbar(ax.images[0])
+
+
+def test_imagegrid():
+    fig = plt.figure()
+    grid = ImageGrid(fig, 111, nrows_ncols=(1, 1))
+    ax = grid[0]
+    im = ax.imshow([[1, 2]], norm=mpl.colors.LogNorm())
+    cb = ax.cax.colorbar(im)
+    assert isinstance(cb.locator, mticker.LogLocator)
+
+
+def test_removal():
+    import matplotlib.pyplot as plt
+    import mpl_toolkits.axisartist as AA
+    fig = plt.figure()
+    ax = host_subplot(111, axes_class=AA.Axes, figure=fig)
+    col = ax.fill_between(range(5), 0, range(5))
+    fig.canvas.draw()
+    col.remove()
+    fig.canvas.draw()
+
+
+@image_comparison(['anchored_locator_base_call.png'], style="mpl20")
+def test_anchored_locator_base_call():
+    fig = plt.figure(figsize=(3, 3))
+    fig1, fig2 = fig.subfigures(nrows=2, ncols=1)
+
+    ax = fig1.subplots()
+    ax.set(aspect=1, xlim=(-15, 15), ylim=(-20, 5))
+    ax.set(xticks=[], yticks=[])
+
+    Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
+    extent = (-3, 4, -4, 3)
+
+    axins = zoomed_inset_axes(ax, zoom=2, loc="upper left")
+    axins.set(xticks=[], yticks=[])
+
+    axins.imshow(Z, extent=extent, origin="lower")
+
+
+def test_grid_with_axes_class_not_overriding_axis():
+    Grid(plt.figure(), 111, (2, 2), axes_class=mpl.axes.Axes)
+    RGBAxes(plt.figure(), 111, axes_class=mpl.axes.Axes)
+
+
+def test_grid_n_axes():
+    fig = plt.figure()
+    grid = Grid(fig, 111, (3, 3), n_axes=5)
+    assert len(fig.axes) == grid.n_axes == 5
diff --git a/lib/mpl_toolkits/axisartist/__init__.py b/lib/mpl_toolkits/axisartist/__init__.py
index d54bf7f3e808..7b8d8c08ac22 100644
--- a/lib/mpl_toolkits/axisartist/__init__.py
+++ b/lib/mpl_toolkits/axisartist/__init__.py
@@ -1,25 +1,14 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+from .axislines import Axes
+from .axislines import (  # noqa: F401
+    AxesZero, AxisArtistHelper, AxisArtistHelperRectlinear,
+    GridHelperBase, GridHelperRectlinear, Subplot, SubplotZero)
+from .axis_artist import AxisArtist, GridlinesCollection  # noqa: F401
+from .grid_helper_curvelinear import GridHelperCurveLinear  # noqa: F401
+from .floating_axes import FloatingAxes, FloatingSubplot  # noqa: F401
+from mpl_toolkits.axes_grid1.parasite_axes import (
+    host_axes_class_factory, parasite_axes_class_factory)
 
-import six
-
-from .axislines import Axes, Subplot, AxesZero, SubplotZero, GridHelperRectlinear, \
-     AxisArtistHelperRectlinear, AxisArtistHelper, GridHelperBase, AxisArtist
-from .axis_artist import AxisArtist, GridlinesCollection
-
-from .grid_helper_curvelinear import GridHelperCurveLinear
-
-from .floating_axes import FloatingAxes, FloatingSubplot
-
-from mpl_toolkits.axes_grid1.parasite_axes import \
-     subplot_class_factory, \
-     parasite_axes_class_factory, parasite_axes_auxtrans_class_factory, \
-     host_axes_class_factory
 
 ParasiteAxes = parasite_axes_class_factory(Axes)
-
-ParasiteAxesAuxTrans = parasite_axes_auxtrans_class_factory(axes_class=ParasiteAxes)
-
-HostAxes = host_axes_class_factory(axes_class=Axes)
-
-SubplotHost = subplot_class_factory(HostAxes)
+HostAxes = host_axes_class_factory(Axes)
+SubplotHost = HostAxes
diff --git a/lib/mpl_toolkits/axisartist/angle_helper.py b/lib/mpl_toolkits/axisartist/angle_helper.py
index a47aaeab81ed..56b461e4a1d3 100644
--- a/lib/mpl_toolkits/axisartist/angle_helper.py
+++ b/lib/mpl_toolkits/axisartist/angle_helper.py
@@ -1,80 +1,56 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-from math import floor
-
 import numpy as np
 import math
 
-A = np.array
-
+from matplotlib.transforms import Bbox
 from mpl_toolkits.axisartist.grid_finder import ExtremeFinderSimple
 
+
 def select_step_degree(dv):
 
     degree_limits_ = [1.5, 3, 7, 13, 20, 40, 70, 120, 270, 520]
-    degree_steps_  = [  1, 2, 5, 10, 15, 30, 45,  90, 180, 360]
+    degree_steps_  = [1,   2, 5, 10, 15, 30, 45,  90, 180, 360]
     degree_factors = [1.] * len(degree_steps_)
 
     minsec_limits_ = [1.5, 2.5, 3.5, 8, 11, 18, 25, 45]
     minsec_steps_  = [1,   2,   3,   5, 10, 15, 20, 30]
 
-    minute_limits_ = A(minsec_limits_)*(1./60.)
+    minute_limits_ = np.array(minsec_limits_) / 60
     minute_factors = [60.] * len(minute_limits_)
 
-    second_limits_ = A(minsec_limits_)*(1./3600.)
+    second_limits_ = np.array(minsec_limits_) / 3600
     second_factors = [3600.] * len(second_limits_)
 
-    degree_limits = np.concatenate([second_limits_,
-                                    minute_limits_,
-                                    degree_limits_])
-
-    degree_steps = np.concatenate([minsec_steps_,
-                                   minsec_steps_,
-                                   degree_steps_])
+    degree_limits = [*second_limits_, *minute_limits_, *degree_limits_]
+    degree_steps = [*minsec_steps_, *minsec_steps_, *degree_steps_]
+    degree_factors = [*second_factors, *minute_factors, *degree_factors]
 
-    degree_factors = np.concatenate([second_factors,
-                                     minute_factors,
-                                     degree_factors])
-
-    n = degree_limits.searchsorted(dv)
+    n = np.searchsorted(degree_limits, dv)
     step = degree_steps[n]
     factor = degree_factors[n]
 
     return step, factor
 
 
-
 def select_step_hour(dv):
 
     hour_limits_ = [1.5, 2.5, 3.5, 5, 7, 10, 15, 21, 36]
-    hour_steps_  = [1,   2  , 3,   4, 6,  8, 12, 18, 24]
+    hour_steps_  = [1,   2,   3,   4, 6,  8, 12, 18, 24]
     hour_factors = [1.] * len(hour_steps_)
 
     minsec_limits_ = [1.5, 2.5, 3.5, 4.5, 5.5, 8, 11, 14, 18, 25, 45]
     minsec_steps_  = [1,   2,   3,   4,   5,   6, 10, 12, 15, 20, 30]
 
-    minute_limits_ = A(minsec_limits_)*(1./60.)
+    minute_limits_ = np.array(minsec_limits_) / 60
     minute_factors = [60.] * len(minute_limits_)
 
-    second_limits_ = A(minsec_limits_)*(1./3600.)
+    second_limits_ = np.array(minsec_limits_) / 3600
     second_factors = [3600.] * len(second_limits_)
 
-    hour_limits = np.concatenate([second_limits_,
-                                  minute_limits_,
-                                  hour_limits_])
+    hour_limits = [*second_limits_, *minute_limits_, *hour_limits_]
+    hour_steps = [*minsec_steps_, *minsec_steps_, *hour_steps_]
+    hour_factors = [*second_factors, *minute_factors, *hour_factors]
 
-    hour_steps = np.concatenate([minsec_steps_,
-                                 minsec_steps_,
-                                 hour_steps_])
-
-    hour_factors = np.concatenate([second_factors,
-                                   minute_factors,
-                                   hour_factors])
-
-    n = hour_limits.searchsorted(dv)
+    n = np.searchsorted(hour_limits, dv)
     step = hour_steps[n]
     factor = hour_factors[n]
 
@@ -107,7 +83,7 @@ def select_step(v1, v2, nv, hour=False, include_last=True,
     if v1 > v2:
         v1, v2 = v2, v1
 
-    dv = float(v2 - v1) / nv
+    dv = (v2 - v1) / nv
 
     if hour:
         _select_step = select_step_hour
@@ -117,19 +93,16 @@ def select_step(v1, v2, nv, hour=False, include_last=True,
         cycle = 360.
 
     # for degree
-    if dv > 1./threshold_factor:
-        #print "degree"
+    if dv > 1 / threshold_factor:
         step, factor = _select_step(dv)
     else:
         step, factor = select_step_sub(dv*threshold_factor)
-        #print "feac", step, factor
 
         factor = factor * threshold_factor
 
-
-    f1, f2, fstep = v1*factor, v2*factor, step/factor
-    levs = np.arange(math.floor(f1/step), math.ceil(f2/step)+0.5,
-                     1, dtype="i") * step
+    levs = np.arange(np.floor(v1 * factor / step),
+                     np.ceil(v2 * factor / step) + 0.5,
+                     dtype=int) * step
 
     # n : number of valid levels. If there is a cycle, e.g., [0, 90, 180,
     # 270, 360], the grid line needs to be extended from 0 to 360, so
@@ -138,11 +111,10 @@ def select_step(v1, v2, nv, hour=False, include_last=True,
 
     n = len(levs)
 
-
     # we need to check the range of values
     # for example, -90 to 90, 0 to 360,
 
-    if factor == 1. and (levs[-1] >= levs[0]+cycle): # check for cycle
+    if factor == 1. and levs[-1] >= levs[0] + cycle:  # check for cycle
         nv = int(cycle / step)
         if include_last:
             levs = levs[0] + np.arange(0, nv+1, 1) * step
@@ -155,11 +127,12 @@ def select_step(v1, v2, nv, hour=False, include_last=True,
 
 
 def select_step24(v1, v2, nv, include_last=True, threshold_factor=3600):
-    v1, v2 = v1/15., v2/15.
-    levs, n, factor =  select_step(v1, v2, nv, hour=True,
-                                   include_last=include_last,
-                                   threshold_factor=threshold_factor)
-    return levs*15., n, factor
+    v1, v2 = v1 / 15, v2 / 15
+    levs, n, factor = select_step(v1, v2, nv, hour=True,
+                                  include_last=include_last,
+                                  threshold_factor=threshold_factor)
+    return levs * 15, n, factor
+
 
 def select_step360(v1, v2, nv, include_last=True, threshold_factor=3600):
     return select_step(v1, v2, nv, hour=False,
@@ -167,78 +140,65 @@ def select_step360(v1, v2, nv, include_last=True, threshold_factor=3600):
                        threshold_factor=threshold_factor)
 
 
-
-class LocatorBase(object):
-    def __init__(self, den, include_last=True):
-        self.den = den
+class LocatorBase:
+    def __init__(self, nbins, include_last=True):
+        self.nbins = nbins
         self._include_last = include_last
 
-    def _get_nbins(self):
-        return self.den
-
-    def _set_nbins(self, v):
-        self.den = v
-
-    nbins = property(_get_nbins, _set_nbins)
-
-    def set_params(self, **kwargs):
-        if "nbins" in kwargs:
-            self.den = int(kwargs.pop("nbins"))
-
-        if kwargs:
-            raise ValueError("Following keys are not processed: %s" % \
-                             ", ".join([str(k) for k in kwargs.keys()]))
+    def set_params(self, nbins=None):
+        if nbins is not None:
+            self.nbins = int(nbins)
 
 
 class LocatorHMS(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step24(v1, v2, self.den, self._include_last)
+        return select_step24(v1, v2, self.nbins, self._include_last)
+
 
 class LocatorHM(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step24(v1, v2, self.den, self._include_last,
+        return select_step24(v1, v2, self.nbins, self._include_last,
                              threshold_factor=60)
 
+
 class LocatorH(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step24(v1, v2, self.den, self._include_last,
+        return select_step24(v1, v2, self.nbins, self._include_last,
                              threshold_factor=1)
 
 
 class LocatorDMS(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step360(v1, v2, self.den, self._include_last)
+        return select_step360(v1, v2, self.nbins, self._include_last)
+
 
 class LocatorDM(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step360(v1, v2, self.den, self._include_last,
+        return select_step360(v1, v2, self.nbins, self._include_last,
                               threshold_factor=60)
 
+
 class LocatorD(LocatorBase):
     def __call__(self, v1, v2):
-        return select_step360(v1, v2, self.den, self._include_last,
+        return select_step360(v1, v2, self.nbins, self._include_last,
                               threshold_factor=1)
 
 
+class FormatterDMS:
+    deg_mark = r"^{\circ}"
+    min_mark = r"^{\prime}"
+    sec_mark = r"^{\prime\prime}"
 
-class FormatterDMS(object):
-
-    deg_mark = "^{\circ}"
-    min_mark = "^{\prime}"
-    sec_mark = "^{\prime\prime}"
+    fmt_d = "$%d" + deg_mark + "$"
+    fmt_ds = r"$%d.%s" + deg_mark + "$"
 
-    fmt_d = "$%d"+deg_mark+"$"
-    fmt_ds = r"$%d.\!\!"+deg_mark+"%s$"
-
-    # %s for signe
-    fmt_d_m = r"$%s%d"+deg_mark+"\,%02d"+min_mark+"$"
-    fmt_d_ms = r"$%s%d"+deg_mark+"\,%02d.\mkern-4mu"+min_mark+"%s$"
-
-
-    fmt_d_m_partial = "$%s%d"+deg_mark+"\,%02d"+min_mark+"\,"
-    fmt_s_partial = "%02d"+sec_mark+"$"
-    fmt_ss_partial = "%02d.\!\!"+sec_mark+"%s$"
+    # %s for sign
+    fmt_d_m = r"$%s%d" + deg_mark + r"\,%02d" + min_mark + "$"
+    fmt_d_ms = r"$%s%d" + deg_mark + r"\,%02d.%s" + min_mark + "$"
 
+    fmt_d_m_partial = "$%s%d" + deg_mark + r"\,%02d" + min_mark + r"\,"
+    fmt_s_partial = "%02d" + sec_mark + "$"
+    fmt_ss_partial = "%02d.%s" + sec_mark + "$"
 
     def _get_number_fraction(self, factor):
         ## check for fractional numbers
@@ -250,54 +210,51 @@ def _get_number_fraction(self, factor):
                 break
 
             d = factor // threshold
-            int_log_d = int(floor(math.log10(d)))
-            if 10**int_log_d == d and d!=1:
+            int_log_d = int(np.floor(np.log10(d)))
+            if 10**int_log_d == d and d != 1:
                 number_fraction = int_log_d
                 factor = factor // 10**int_log_d
                 return factor, number_fraction
 
         return factor, number_fraction
 
-
     def __call__(self, direction, factor, values):
         if len(values) == 0:
             return []
-        #ss = [[-1, 1][v>0] for v in values] #not py24 compliant
-        values = np.asarray(values)
-        ss = np.where(values>0, 1, -1)
 
-        sign_map = {(-1, True):"-"}
-        signs = [sign_map.get((s, v!=0), "") for s, v in zip(ss, values)]
+        ss = np.sign(values)
+        signs = ["-" if v < 0 else "" for v in values]
 
         factor, number_fraction = self._get_number_fraction(factor)
 
         values = np.abs(values)
 
         if number_fraction is not None:
-            values, frac_part = divmod(values, 10**number_fraction)
+            values, frac_part = divmod(values, 10 ** number_fraction)
             frac_fmt = "%%0%dd" % (number_fraction,)
             frac_str = [frac_fmt % (f1,) for f1 in frac_part]
 
         if factor == 1:
             if number_fraction is None:
-                return [self.fmt_d % (s*int(v),) for (s, v) in zip(ss, values)]
+                return [self.fmt_d % (s * int(v),) for s, v in zip(ss, values)]
             else:
-                return [self.fmt_ds % (s*int(v), f1) for (s, v, f1) in \
-                        zip(ss, values, frac_str)]
+                return [self.fmt_ds % (s * int(v), f1)
+                        for s, v, f1 in zip(ss, values, frac_str)]
         elif factor == 60:
             deg_part, min_part = divmod(values, 60)
             if number_fraction is None:
-                return [self.fmt_d_m % (s1, d1, m1) \
+                return [self.fmt_d_m % (s1, d1, m1)
                         for s1, d1, m1 in zip(signs, deg_part, min_part)]
             else:
-                return [self.fmt_d_ms % (s, d1, m1, f1) \
-                        for s, d1, m1, f1 in zip(signs, deg_part, min_part, frac_str)]
+                return [self.fmt_d_ms % (s, d1, m1, f1)
+                        for s, d1, m1, f1
+                        in zip(signs, deg_part, min_part, frac_str)]
 
         elif factor == 3600:
             if ss[-1] == -1:
                 inverse_order = True
                 values = values[::-1]
-                sings = signs[::-1]
+                signs = signs[::-1]
             else:
                 inverse_order = False
 
@@ -310,15 +267,16 @@ def __call__(self, direction, factor, values):
             if number_fraction is None:
                 sec_str = [self.fmt_s_partial % (s1,) for s1 in sec_part]
             else:
-                sec_str = [self.fmt_ss_partial % (s1, f1) for s1, f1 in zip(sec_part, frac_str)]
+                sec_str = [self.fmt_ss_partial % (s1, f1)
+                           for s1, f1 in zip(sec_part, frac_str)]
 
             for s, d1, m1, s1 in zip(signs, deg_part, min_part, sec_str):
                 l_hm = self.fmt_d_m_partial % (s, d1, m1)
                 if l_hm != l_hm_old:
                     l_hm_old = l_hm
-                    l = l_hm + s1 #l_s
+                    l = l_hm + s1
                 else:
-                    l = "$"+s1 #l_s
+                    l = "$" + s + s1
                 r.append(l)
 
             if inverse_order:
@@ -326,86 +284,95 @@ def __call__(self, direction, factor, values):
             else:
                 return r
 
-        else: # factor > 3600.
-            return [r"$%s^{\circ}$" % (str(v),) for v in ss*values]
-
-class FormatterHMS(FormatterDMS):
-    deg_mark = "^\mathrm{h}"
-    min_mark = "^\mathrm{m}"
-    sec_mark = "^\mathrm{s}"
-
-    fmt_d = "$%d"+deg_mark+"$"
-    fmt_ds = r"$%d.\!\!"+deg_mark+"%s$"
+        else:  # factor > 3600.
+            return [r"$%s^{\circ}$" % v for v in ss*values]
 
-    # %s for signe
-    fmt_d_m = r"$%s%d"+deg_mark+"\,%02d"+min_mark+"$"
-    fmt_d_ms = r"$%s%d"+deg_mark+"\,%02d.\!\!"+min_mark+"%s$"
-
-
-    fmt_d_m_partial = "$%s%d"+deg_mark+"\,%02d"+min_mark+"\,"
-    fmt_s_partial = "%02d"+sec_mark+"$"
-    fmt_ss_partial = "%02d.\!\!"+sec_mark+"%s$"
 
+class FormatterHMS(FormatterDMS):
+    deg_mark = r"^\mathrm{h}"
+    min_mark = r"^\mathrm{m}"
+    sec_mark = r"^\mathrm{s}"
 
-    def __call__(self, direction, factor, values): # hour
-        return FormatterDMS.__call__(self, direction, factor, np.asarray(values)/15.)
+    fmt_d = "$%d" + deg_mark + "$"
+    fmt_ds = r"$%d.%s" + deg_mark + "$"
 
+    # %s for sign
+    fmt_d_m = r"$%s%d" + deg_mark + r"\,%02d" + min_mark+"$"
+    fmt_d_ms = r"$%s%d" + deg_mark + r"\,%02d.%s" + min_mark+"$"
 
+    fmt_d_m_partial = "$%s%d" + deg_mark + r"\,%02d" + min_mark + r"\,"
+    fmt_s_partial = "%02d" + sec_mark + "$"
+    fmt_ss_partial = "%02d.%s" + sec_mark + "$"
 
+    def __call__(self, direction, factor, values):  # hour
+        return super().__call__(direction, factor, np.asarray(values) / 15)
 
 
 class ExtremeFinderCycle(ExtremeFinderSimple):
-    """
-    When there is a cycle, e.g., longitude goes from 0-360.
-    """
-    def __init__(self,
-                 nx, ny,
-                 lon_cycle = 360.,
-                 lat_cycle = None,
-                 lon_minmax = None,
-                 lat_minmax = (-90, 90)
-                 ):
-        #self.transfrom_xy = transform_xy
-        #self.inv_transfrom_xy = inv_transform_xy
+    # docstring inherited
+
+    def __init__(self, nx, ny,
+                 lon_cycle=360., lat_cycle=None,
+                 lon_minmax=None, lat_minmax=(-90, 90)):
+        """
+        This subclass handles the case where one or both coordinates should be
+        taken modulo 360, or be restricted to not exceed a specific range.
+
+        Parameters
+        ----------
+        nx, ny : int
+            The number of samples in each direction.
+
+        lon_cycle, lat_cycle : 360 or None
+            If not None, values in the corresponding direction are taken modulo
+            *lon_cycle* or *lat_cycle*; in theory this can be any number but
+            the implementation actually assumes that it is 360 (if not None);
+            other values give nonsensical results.
+
+            This is done by "unwrapping" the transformed grid coordinates so
+            that jumps are less than a half-cycle; then normalizing the span to
+            no more than a full cycle.
+
+            For example, if values are in the union of the [0, 2] and
+            [358, 360] intervals (typically, angles measured modulo 360), the
+            values in the second interval are normalized to [-2, 0] instead so
+            that the values now cover [-2, 2].  If values are in a range of
+            [5, 1000], this gets normalized to [5, 365].
+
+        lon_minmax, lat_minmax : (float, float) or None
+            If not None, the computed bounding box is clipped to the given
+            range in the corresponding direction.
+        """
         self.nx, self.ny = nx, ny
         self.lon_cycle, self.lat_cycle = lon_cycle, lat_cycle
         self.lon_minmax = lon_minmax
         self.lat_minmax = lat_minmax
 
-
-    def __call__(self, transform_xy, x1, y1, x2, y2):
-        """
-        get extreme values.
-
-        x1, y1, x2, y2 in image coordinates (0-based)
-        nx, ny : number of divisions in each axis
-        """
-        x_, y_ = np.linspace(x1, x2, self.nx), np.linspace(y1, y2, self.ny)
-        x, y = np.meshgrid(x_, y_)
-        lon, lat = transform_xy(np.ravel(x), np.ravel(y))
+    def _find_transformed_bbox(self, trans, bbox):
+        # docstring inherited
+        grid = np.reshape(np.meshgrid(np.linspace(bbox.x0, bbox.x1, self.nx),
+                                      np.linspace(bbox.y0, bbox.y1, self.ny)),
+                          (2, -1)).T
+        lon, lat = trans.transform(grid).T
 
         # iron out jumps, but algorithm should be improved.
-        # Tis is just naive way of doing and my fail for some cases.
-        if self.lon_cycle is not None:
-            lon0 = np.nanmin(lon)
-            lon -= 360. * ((lon - lon0) > 180.)
-        if self.lat_cycle is not None:
-            lat0 = np.nanmin(lat)
-            lat -= 360. * ((lat - lat0) > 180.)
-
-        lon_min, lon_max = np.nanmin(lon), np.nanmax(lon)
-        lat_min, lat_max = np.nanmin(lat), np.nanmax(lat)
-
-        lon_min, lon_max, lat_min, lat_max = \
-                 self._adjust_extremes(lon_min, lon_max, lat_min, lat_max)
-
-        return lon_min, lon_max, lat_min, lat_max
-
-
-    def _adjust_extremes(self, lon_min, lon_max, lat_min, lat_max):
-
-        lon_min, lon_max, lat_min, lat_max = \
-                 self._add_pad(lon_min, lon_max, lat_min, lat_max)
+        # This is just naive way of doing and my fail for some cases.
+        # Consider replacing this with numpy.unwrap
+        # We are ignoring invalid warnings. They are triggered when
+        # comparing arrays with NaNs using > We are already handling
+        # that correctly using np.nanmin and np.nanmax
+        with np.errstate(invalid='ignore'):
+            if self.lon_cycle is not None:
+                lon0 = np.nanmin(lon)
+                lon -= 360. * ((lon - lon0) > 180.)
+            if self.lat_cycle is not None:
+                lat0 = np.nanmin(lat)
+                lat -= 360. * ((lat - lat0) > 180.)
+
+        tbbox = Bbox.null()
+        tbbox.update_from_data_xy(np.column_stack([lon, lat]))
+        tbbox = tbbox.expanded(1 + 2 / self.nx, 1 + 2 / self.ny)
+        lon_min, lat_min, lon_max, lat_max = tbbox.extents
 
         # check cycle
         if self.lon_cycle:
@@ -425,51 +392,4 @@ def _adjust_extremes(self, lon_min, lon_max, lat_min, lat_max):
             max0 = self.lat_minmax[1]
             lat_max = min(max0, lat_max)
 
-        return lon_min, lon_max, lat_min, lat_max
-
-
-
-
-
-if __name__ == "__main__":
-    #test2()
-    #print select_step360(21.2, 33.3, 5)
-    #print select_step360(20+21.2/60., 21+33.3/60., 5)
-    #print select_step360(20.5+21.2/3600., 20.5+33.3/3600., 5)
-
-    # test threshold factor
-    print(select_step360(20.5+11.2/3600., 20.5+53.3/3600., 5,
-                         threshold_factor=60))
-
-    print(select_step360(20.5+11.2/3600., 20.5+53.3/3600., 5,
-                         threshold_factor=1))
-
-    fmt = FormatterDMS()
-    #print fmt("left", 60, [0, -30, -60])
-    print(fmt("left", 600, [12301, 12302, 12303]))
-
-    print(select_step360(20.5+21.2/3600., 20.5+21.4/3600., 5))
-    print(fmt("left", 36000, [738210, 738215, 738220]))
-    print(fmt("left", 360000, [7382120, 7382125, 7382130]))
-    print(fmt("left", 1., [45, 46, 47]))
-    print(fmt("left", 10., [452, 453, 454]))
-
-if 0:
-    print(select_step360(20+21.2/60., 21+33.3/60., 5))
-    print(select_step360(20.5+21.2/3600., 20.5+33.3/3600., 5))
-    print(select_step360(20+21.2/60., 20+53.3/60., 5))
-
-    ###
-    levs, n, factor = select_step360(20.5+21.2/3600., 20.5+27.25/3600., 5)
-    levs = levs * 0.1
-    fmt = FormatterDMS()
-    #print fmt("left", 60, [0, -30, -60])
-    print(fmt("left", factor, levs))
-
-
-    print(select_step(-180, 180, 10, hour=False))
-    print(select_step(-12, 12, 10, hour=True))
-
-    fmt = FormatterDMS()
-    #print fmt("left", 60, [0, -30, -60])
-    print(fmt("left", 3600, [0, -30, -60]))
+        return Bbox.from_extents(lon_min, lat_min, lon_max, lat_max)
diff --git a/lib/mpl_toolkits/axisartist/axes_divider.py b/lib/mpl_toolkits/axisartist/axes_divider.py
new file mode 100644
index 000000000000..d0392be782d9
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/axes_divider.py
@@ -0,0 +1,2 @@
+from mpl_toolkits.axes_grid1.axes_divider import (  # noqa
+    Divider, SubplotDivider, AxesDivider, make_axes_locatable)
diff --git a/lib/mpl_toolkits/axisartist/axis_artist.py b/lib/mpl_toolkits/axisartist/axis_artist.py
index a8c7c7f87f7b..9ba6f6075844 100644
--- a/lib/mpl_toolkits/axisartist/axis_artist.py
+++ b/lib/mpl_toolkits/axisartist/axis_artist.py
@@ -1,464 +1,270 @@
 """
-axis_artist.py module provides axis-related artists. They are
+The :mod:`.axis_artist` module implements custom artists to draw axis elements
+(axis lines and labels, tick lines and labels, grid lines).
 
- * axis line
- * tick lines
- * tick labels
- * axis label
- * grid lines
+Axis lines and labels and tick lines and labels are managed by the `AxisArtist`
+class; grid lines are managed by the `GridlinesCollection` class.
 
-The main artist class is a AxisArtist and a GridlinesCollection. The
-GridlinesCollection is responsible for drawing grid lines and the
-AxisArtist is responsible for all other artists. The AxisArtist class
-has attributes that are associated with each type of artists.
+There is one `AxisArtist` per Axis; it can be accessed through
+the ``axis`` dictionary of the parent Axes (which should be a
+`~mpl_toolkits.axisartist.axislines.Axes`), e.g. ``ax.axis["bottom"]``.
 
- * line : axis line
- * major_ticks : major tick lines
- * major_ticklabels : major tick labels
- * minor_ticks : minor tick lines
- * minor_ticklabels : minor tick labels
- * label : axis label
+Children of the AxisArtist are accessed as attributes: ``.line`` and ``.label``
+for the axis line and label, ``.major_ticks``, ``.major_ticklabels``,
+``.minor_ticks``, ``.minor_ticklabels`` for the tick lines and labels (e.g.
+``ax.axis["bottom"].line``).
 
-Typically, the AxisArtist associated with a axes will be accessed with
-the *axis* dictionary of the axes, i.e., the AxisArtist for the bottom
-axis is
+Children properties (colors, fonts, line widths, etc.) can be set using
+setters, e.g. ::
 
-  ax.axis["bottom"]
+  # Make the major ticks of the bottom axis red.
+  ax.axis["bottom"].major_ticks.set_color("red")
 
-where *ax* is an instance of axes (mpl_toolkits.axislines.Axes).  Thus,
-ax.axis["bottom"].line is an artist associated with the axis line, and
-ax.axis["bottom"].major_ticks is an artist associated with the major tick
-lines.
-
-You can change the colors, fonts, line widths, etc. of these artists
-by calling suitable set method. For example, to change the color of the major
-ticks of the bottom axis to red,
-
-  ax.axis["bottom"].major_ticks.set_color("r")
-
-However, things like the locations of ticks, and their ticklabels need
-to be changed from the side of the grid_helper.
+However, things like the locations of ticks, and their ticklabels need to be
+changed from the side of the grid_helper.
 
 axis_direction
 --------------
 
-AxisArtist, AxisLabel, TickLabels have *axis_direction* attribute,
-which adjusts the location, angle, etc.,. The *axis_direction* must be
-one of [left, right, bottom, top] and they follow the matplotlib
-convention for the rectangle axis.
-
-For example, for the *bottom* axis (the left and right is relative to
-the direction of the increasing coordinate),
-
- * ticklabels and axislabel are on the right
- * ticklabels and axislabel have text angle of 0
- * ticklabels are baseline, center-aligned
- * axislabel is top, center-aligned
-
-
-The text angles are actually relative to (90 + angle of the direction
-to the ticklabel), which gives 0 for bottom axis.
-
-                        left bottom right top
- ticklabels location    left right  right left
- axislabel location     left right  right left
- ticklabels angle       90    0      -90  180
- axislabel angle        180   0     0     180
- ticklabel va           center baseline center baseline
- axislabel va           center top      center bottom
- ticklabel ha           right  center   right  center
- axislabel ha           right  center   right  center
-
-
-Ticks are by default direct opposite side of the ticklabels. To make
-ticks to the same side of the ticklabels,
-
-  ax.axis["bottom"].major_ticks.set_ticks_out(True)
-
-
-Following attributes can be customized (use set_xxx method)
-
- * Ticks : ticksize, tick_out
- * TickLabels : pad
- * AxisLabel : pad
-
+`AxisArtist`, `AxisLabel`, `TickLabels` have an *axis_direction* attribute,
+which adjusts the location, angle, etc. The *axis_direction* must be one of
+"left", "right", "bottom", "top", and follows the Matplotlib convention for
+rectangular axis.
+
+For example, for the *bottom* axis (the left and right is relative to the
+direction of the increasing coordinate),
+
+* ticklabels and axislabel are on the right
+* ticklabels and axislabel have text angle of 0
+* ticklabels are baseline, center-aligned
+* axislabel is top, center-aligned
+
+The text angles are actually relative to (90 + angle of the direction to the
+ticklabel), which gives 0 for bottom axis.
+
+=================== ====== ======== ====== ========
+Property            left   bottom   right  top
+=================== ====== ======== ====== ========
+ticklabel location  left   right    right  left
+axislabel location  left   right    right  left
+ticklabel angle     90     0        -90    180
+axislabel angle     180    0        0      180
+ticklabel va        center baseline center baseline
+axislabel va        center top      center bottom
+ticklabel ha        right  center   right  center
+axislabel ha        right  center   right  center
+=================== ====== ======== ====== ========
+
+Ticks are by default direct opposite side of the ticklabels. To make ticks to
+the same side of the ticklabels, ::
+
+  ax.axis["bottom"].major_ticks.set_tick_out(True)
+
+The following attributes can be customized (use the ``set_xxx`` methods):
+
+* `Ticks`: ticksize, tick_out
+* `TickLabels`: pad
+* `AxisLabel`: pad
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
 
 # FIXME :
+# angles are given in data coordinate - need to convert it to canvas coordinate
 
-# * : angles are given in data coordinate - need to convert it to canvas coordinate
 
+from operator import methodcaller
+
+import numpy as np
 
-import matplotlib.axes as maxes
+import matplotlib as mpl
+from matplotlib import _api, cbook
 import matplotlib.artist as martist
+import matplotlib.colors as mcolors
 import matplotlib.text as mtext
-import matplotlib.font_manager as font_manager
-
-from matplotlib.path import Path
-from matplotlib.transforms import Affine2D, ScaledTranslation, \
-     IdentityTransform, TransformedPath, Bbox
 from matplotlib.collections import LineCollection
+from matplotlib.lines import Line2D
+from matplotlib.patches import PathPatch
+from matplotlib.path import Path
+from matplotlib.transforms import (
+    Affine2D, Bbox, IdentityTransform, ScaledTranslation)
 
-from matplotlib import rcParams
-
-from matplotlib.artist import allow_rasterization
-
-import warnings
-
-import numpy as np
-
-
-import matplotlib.lines as mlines
 from .axisline_style import AxislineStyle
 
 
-class BezierPath(mlines.Line2D):
-
-    def __init__(self, path, *kl, **kw):
-        mlines.Line2D.__init__(self, [], [], *kl, **kw)
-        self._path = path
-        self._invalid = False
-
-    def recache(self):
-
-        self._transformed_path = TransformedPath(self._path, self.get_transform())
-
-        self._invalid = False
-
-    def set_path(self, path):
-        self._path = path
-        self._invalid = True
-
-
-    def draw(self, renderer):
-        if self._invalid:
-            self.recache()
-
-        if not self._visible: return
-        renderer.open_group('line2d')
-
-        gc = renderer.new_gc()
-        self._set_gc_clip(gc)
-
-        gc.set_foreground(self._color)
-        gc.set_antialiased(self._antialiased)
-        gc.set_linewidth(self._linewidth)
-        gc.set_alpha(self._alpha)
-        if self.is_dashed():
-            cap = self._dashcapstyle
-            join = self._dashjoinstyle
-        else:
-            cap = self._solidcapstyle
-            join = self._solidjoinstyle
-        gc.set_joinstyle(join)
-        gc.set_capstyle(cap)
-
-        funcname = self._lineStyles.get(self._linestyle, '_draw_nothing')
-        if funcname != '_draw_nothing':
-            tpath, affine = self._transformed_path.get_transformed_path_and_affine()
-            lineFunc = getattr(self, funcname)
-            lineFunc(renderer, gc, tpath, affine.frozen())
-
-        gc.restore()
-        renderer.close_group('line2d')
-
-
-
-class UnimplementedException(Exception):
-    pass
-
-from matplotlib.artist import Artist
-
-class AttributeCopier(object):
-    def __init__(self, ref_artist, klass=Artist):
-        self._klass = klass
-        self._ref_artist = ref_artist
-        super(AttributeCopier, self).__init__()
-
-    def set_ref_artist(self, artist):
-        self._ref_artist = artist
-
+class AttributeCopier:
     def get_ref_artist(self):
+        """
+        Return the underlying artist that actually defines some properties
+        (e.g., color) of this artist.
+        """
         raise RuntimeError("get_ref_artist must overridden")
-    #return self._ref_artist
-
-    def get_attribute_from_ref_artist(self, attr_name, default_value):
-        get_attr_method_name = "get_"+attr_name
-        c = getattr(self._klass, get_attr_method_name)(self)
-        if c == 'auto':
-            ref_artist = self.get_ref_artist()
-            if ref_artist:
-                attr = getattr(ref_artist,
-                               get_attr_method_name)()
-                return attr
-            else:
-                return default_value
 
-        return c
+    def get_attribute_from_ref_artist(self, attr_name):
+        getter = methodcaller("get_" + attr_name)
+        prop = getter(super())
+        return getter(self.get_ref_artist()) if prop == "auto" else prop
 
 
-from matplotlib.lines import Line2D
-
-class Ticks(Line2D, AttributeCopier):
+class Ticks(AttributeCopier, Line2D):
     """
-    Ticks are derived from Line2D, and note that ticks themselves
+    Ticks are derived from `.Line2D`, and note that ticks themselves
     are markers. Thus, you should use set_mec, set_mew, etc.
 
     To change the tick size (length), you need to use
-    set_ticksize. To change the direction of the ticks (ticks are
+    `set_ticksize`. To change the direction of the ticks (ticks are
     in opposite direction of ticklabels by default), use
-    set_tick_out(False).
+    ``set_tick_out(False)``
     """
 
-    def __init__(self, ticksize, tick_out=False, **kwargs):
+    def __init__(self, ticksize, tick_out=False, *, axis=None, **kwargs):
         self._ticksize = ticksize
         self.locs_angles_labels = []
 
         self.set_tick_out(tick_out)
 
-        self._axis = kwargs.pop("axis", None)
+        self._axis = axis
         if self._axis is not None:
             if "color" not in kwargs:
                 kwargs["color"] = "auto"
-            if ("mew" not in kwargs) and ("markeredgewidth" not in kwargs):
+            if "mew" not in kwargs and "markeredgewidth" not in kwargs:
                 kwargs["markeredgewidth"] = "auto"
 
         Line2D.__init__(self, [0.], [0.], **kwargs)
-        AttributeCopier.__init__(self, self._axis, klass=Line2D)
         self.set_snap(True)
 
     def get_ref_artist(self):
-        #return self._ref_artist.get_ticklines()[0]
-        return self._ref_artist.majorTicks[0].tick1line
+        # docstring inherited
+        return self._axis.majorTicks[0].tick1line
+
+    def set_color(self, color):
+        # docstring inherited
+        # Unlike the base Line2D.set_color, this also supports "auto".
+        if not cbook._str_equal(color, "auto"):
+            mcolors._check_color_like(color=color)
+        self._color = color
+        self.stale = True
 
     def get_color(self):
-        return self.get_attribute_from_ref_artist("color", "k")
+        return self.get_attribute_from_ref_artist("color")
 
     def get_markeredgecolor(self):
-        if self._markeredgecolor == 'auto':
-            return self.get_color()
-        else:
-            return self._markeredgecolor
+        return self.get_attribute_from_ref_artist("markeredgecolor")
 
     def get_markeredgewidth(self):
-        return self.get_attribute_from_ref_artist("markeredgewidth", .5)
-
+        return self.get_attribute_from_ref_artist("markeredgewidth")
 
     def set_tick_out(self, b):
-        """
-        set True if tick need to be rotated by 180 degree.
-        """
+        """Set whether ticks are drawn inside or outside the axes."""
         self._tick_out = b
 
     def get_tick_out(self):
-        """
-        Return True if the tick will be rotated by 180 degree.
-        """
+        """Return whether ticks are drawn inside or outside the axes."""
         return self._tick_out
 
-
     def set_ticksize(self, ticksize):
-        """
-        set length of the ticks in points.
-        """
+        """Set length of the ticks in points."""
         self._ticksize = ticksize
 
-
     def get_ticksize(self):
-        """
-        Return length of the ticks in points.
-        """
+        """Return length of the ticks in points."""
         return self._ticksize
 
     def set_locs_angles(self, locs_angles):
         self.locs_angles = locs_angles
 
-
-    def _update(self, renderer):
-        pass
-
     _tickvert_path = Path([[0., 0.], [1., 0.]])
 
     def draw(self, renderer):
         if not self.get_visible():
             return
 
-        self._update(renderer) # update the tick
-
-        size = self._ticksize
-        path_trans = self.get_transform()
-
-        # set gc : copied from lines.py
-#         gc = renderer.new_gc()
-#         self._set_gc_clip(gc)
-
-#         gc.set_foreground(self.get_color())
-#         gc.set_antialiased(self._antialiased)
-#         gc.set_linewidth(self._linewidth)
-#         gc.set_alpha(self._alpha)
-#         if self.is_dashed():
-#             cap = self._dashcapstyle
-#             join = self._dashjoinstyle
-#         else:
-#             cap = self._solidcapstyle
-#             join = self._solidjoinstyle
-#         gc.set_joinstyle(join)
-#         gc.set_capstyle(cap)
-#         gc.set_snap(self.get_snap())
-
-
         gc = renderer.new_gc()
-        self._set_gc_clip(gc)
         gc.set_foreground(self.get_markeredgecolor())
         gc.set_linewidth(self.get_markeredgewidth())
         gc.set_alpha(self._alpha)
 
-        offset = renderer.points_to_pixels(size)
-        marker_scale = Affine2D().scale(offset, offset)
-
+        path_trans = self.get_transform()
+        marker_transform = (Affine2D()
+                            .scale(renderer.points_to_pixels(self._ticksize)))
         if self.get_tick_out():
-            add_angle = 180
-        else:
-            add_angle = 0
-
-        marker_rotation = Affine2D()
-        marker_transform = marker_scale + marker_rotation
+            marker_transform.rotate_deg(180)
 
         for loc, angle in self.locs_angles:
-            marker_rotation.rotate_deg(angle+add_angle)
-            locs = path_trans.transform_non_affine(np.array([loc, loc]))
-            renderer.draw_markers(gc, self._tickvert_path, marker_transform,
-                                  Path(locs), path_trans.get_affine())
-            marker_rotation.clear()
+            locs = path_trans.transform_non_affine(np.array([loc]))
+            if self.axes and not self.axes.viewLim.contains(*locs[0]):
+                continue
+            renderer.draw_markers(
+                gc, self._tickvert_path,
+                marker_transform + Affine2D().rotate_deg(angle),
+                Path(locs), path_trans.get_affine())
 
         gc.restore()
 
 
-def test_ticks():
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1)
-    fig.clf()
-    ax = fig.add_subplot(111)
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-    ticks = Ticks(ticksize=10, axis=ax.xaxis)
-    ax.add_artist(ticks)
-    locs_angles = [((0.2, 0.), 90),
-                          ((0.4, 0.), 120)]
-    ticks.set_locs_angles(locs_angles)
-    plt.draw()
-
-
-
-
 class LabelBase(mtext.Text):
     """
-    A base class for AxisLabel and TickLabels. The position and angle
-    of the text are calculated by to offset_ref_angle,
+    A base class for `.AxisLabel` and `.TickLabels`. The position and
+    angle of the text are calculated by the offset_ref_angle,
     text_ref_angle, and offset_radius attributes.
     """
 
-    def __init__(self, *kl, **kwargs):
+    def __init__(self, *args, **kwargs):
         self.locs_angles_labels = []
         self._ref_angle = 0
         self._offset_radius = 0.
 
-        super(LabelBase, self).__init__(*kl,
-                                        **kwargs)
+        super().__init__(*args, **kwargs)
 
         self.set_rotation_mode("anchor")
         self._text_follow_ref_angle = True
-        #self._offset_ref_angle = 0
 
-    def _set_ref_angle(self, a):
-        self._ref_angle = a
-
-    def _get_ref_angle(self):
-        return self._ref_angle
-
-    def _get_text_ref_angle(self):
+    @property
+    def _text_ref_angle(self):
         if self._text_follow_ref_angle:
-            return self._get_ref_angle()+90
+            return self._ref_angle + 90
         else:
-            return 0 #self.get_ref_angle()
-
-    def _get_offset_ref_angle(self):
-        return self._get_ref_angle()
-
-    def _set_offset_radius(self, offset_radius):
-        self._offset_radius = offset_radius
-
-    def _get_offset_radius(self):
-        return self._offset_radius
-
-
-    _get_opposite_direction = {"left":"right",
-                               "right":"left",
-                               "top":"bottom",
-                               "bottom":"top"}.__getitem__
+            return 0
 
+    @property
+    def _offset_ref_angle(self):
+        return self._ref_angle
 
-    def _update(self, renderer):
-        pass
+    _get_opposite_direction = {"left": "right",
+                               "right": "left",
+                               "top": "bottom",
+                               "bottom": "top"}.__getitem__
 
     def draw(self, renderer):
-        if not self.get_visible(): return
-
-        self._update(renderer)
+        if not self.get_visible():
+            return
 
         # save original and adjust some properties
         tr = self.get_transform()
         angle_orig = self.get_rotation()
-
-        offset_tr = Affine2D()
-        self.set_transform(tr+offset_tr)
-
-        text_ref_angle = self._get_text_ref_angle()
-        offset_ref_angle = self._get_offset_ref_angle()
-
-        theta = (offset_ref_angle)/180.*np.pi
-        dd = self._get_offset_radius()
+        theta = np.deg2rad(self._offset_ref_angle)
+        dd = self._offset_radius
         dx, dy = dd * np.cos(theta), dd * np.sin(theta)
-        offset_tr.translate(dx, dy)
-        self.set_rotation(text_ref_angle+angle_orig)
-        super(LabelBase, self).draw(renderer)
-        offset_tr.clear()
-
 
+        self.set_transform(tr + Affine2D().translate(dx, dy))
+        self.set_rotation(self._text_ref_angle + angle_orig)
+        super().draw(renderer)
         # restore original properties
         self.set_transform(tr)
         self.set_rotation(angle_orig)
 
-
-    def get_window_extent(self, renderer):
-
-        self._update(renderer)
+    def get_window_extent(self, renderer=None):
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
 
         # save original and adjust some properties
         tr = self.get_transform()
         angle_orig = self.get_rotation()
-
-        offset_tr = Affine2D()
-        self.set_transform(tr+offset_tr)
-
-        text_ref_angle = self._get_text_ref_angle()
-        offset_ref_angle = self._get_offset_ref_angle()
-
-        theta = (offset_ref_angle)/180.*np.pi
-        dd = self._get_offset_radius()
+        theta = np.deg2rad(self._offset_ref_angle)
+        dd = self._offset_radius
         dx, dy = dd * np.cos(theta), dd * np.sin(theta)
-        offset_tr.translate(dx, dy)
-        self.set_rotation(text_ref_angle+angle_orig)
-
-        bbox = super(LabelBase, self).get_window_extent(renderer).frozen()
-
-        offset_tr.clear()
-
 
+        self.set_transform(tr + Affine2D().translate(dx, dy))
+        self.set_rotation(self._text_ref_angle + angle_orig)
+        bbox = super().get_window_extent(renderer).frozen()
         # restore original properties
         self.set_transform(tr)
         self.set_rotation(angle_orig)
@@ -466,92 +272,53 @@ def get_window_extent(self, renderer):
         return bbox
 
 
-
-def test_labelbase():
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1)
-    fig.clf()
-    ax = fig.add_subplot(111)
-
-    ax.plot([0.5], [0.5], "o")
-    label = LabelBase(0.5, 0.5, "Test")
-
-    a = -90
-    label._set_ref_angle(a)
-    label._set_offset_radius(offset_radius=50)
-    label.set_rotation(-90)
-    label.set(ha="center", va="top")
-
-    ax.add_artist(label)
-    plt.draw()
-
-
-
-
-
-
-
-
-
-class AxisLabel(LabelBase, AttributeCopier):
+class AxisLabel(AttributeCopier, LabelBase):
     """
-    Axis Label. Derived from Text. The position of the text is updated
+    Axis label. Derived from `.Text`. The position of the text is updated
     in the fly, so changing text position has no effect. Otherwise, the
-    properties can be changed as a normal Text.
+    properties can be changed as a normal `.Text`.
 
-    To change the pad between ticklabels and axis label, use set_pad.
+    To change the pad between tick labels and axis label, use `set_pad`.
     """
 
-    def __init__(self, *kl, **kwargs):
-
-        axis_direction = kwargs.pop("axis_direction", "bottom")
-        self._axis = kwargs.pop("axis", None)
-        #super(AxisLabel, self).__init__(*kl, **kwargs)
-        LabelBase.__init__(self, *kl, **kwargs)
-        AttributeCopier.__init__(self, self._axis, klass=LabelBase)
-
-        self.set_axis_direction(axis_direction)
+    def __init__(self, *args, axis_direction="bottom", axis=None, **kwargs):
+        self._axis = axis
         self._pad = 5
-        self._extra_pad = 0
+        self._external_pad = 0  # in pixels
+        LabelBase.__init__(self, *args, **kwargs)
+        self.set_axis_direction(axis_direction)
 
     def set_pad(self, pad):
         """
-        Set the pad in points. Note that the actual pad will be the
-        sum of the internal pad and the external pad (that are set
-        automatically by the AxisArtist), and it only set the internal
-        pad
+        Set the internal pad in points.
+
+        The actual pad will be the sum of the internal pad and the
+        external pad (the latter is set automatically by the `.AxisArtist`).
+
+        Parameters
+        ----------
+        pad : float
+            The internal pad in points.
         """
         self._pad = pad
 
     def get_pad(self):
         """
-        return pad in points. See set_pad for more details.
-        """
-        return self._pad
+        Return the internal pad in points.
 
-
-    def _set_external_pad(self, p):
-        """
-        Set external pad IN PIXELS. This is intended to be set by the
-        AxisArtist, bot by user..
-        """
-        self._extra_pad = p
-
-    def _get_external_pad(self):
+        See `.set_pad` for more details.
         """
-        Get external pad.
-        """
-        return self._extra_pad
-
+        return self._pad
 
     def get_ref_artist(self):
-        return self._axis.get_label()
-
+        # docstring inherited
+        return self._axis.label
 
     def get_text(self):
-        t = super(AxisLabel, self).get_text()
+        # docstring inherited
+        t = super().get_text()
         if t == "__from_axes__":
-            return self._axis.get_label().get_text()
+            return self._axis.label.get_text()
         return self._text
 
     _default_alignments = dict(left=("bottom", "center"),
@@ -559,38 +326,40 @@ def get_text(self):
                                bottom=("top", "center"),
                                top=("bottom", "center"))
 
-
-
     def set_default_alignment(self, d):
-        if d not in ["left", "right", "top", "bottom"]:
-            raise ValueError('direction must be on of "left", "right", "top", "bottom"')
+        """
+        Set the default alignment. See `set_axis_direction` for details.
 
-        va, ha = self._default_alignments[d]
+        Parameters
+        ----------
+        d : {"left", "bottom", "right", "top"}
+        """
+        va, ha = _api.check_getitem(self._default_alignments, d=d)
         self.set_va(va)
         self.set_ha(ha)
 
-
     _default_angles = dict(left=180,
                            right=0,
                            bottom=0,
                            top=180)
 
-
     def set_default_angle(self, d):
-        if d not in ["left", "right", "top", "bottom"]:
-            raise ValueError('direction must be on of "left", "right", "top", "bottom"')
-
-        self.set_rotation(self._default_angles[d])
+        """
+        Set the default angle. See `set_axis_direction` for details.
 
+        Parameters
+        ----------
+        d : {"left", "bottom", "right", "top"}
+        """
+        self.set_rotation(_api.check_getitem(self._default_angles, d=d))
 
     def set_axis_direction(self, d):
         """
         Adjust the text angle and text alignment of axis label
         according to the matplotlib convention.
 
-
         =====================    ========== ========= ========== ==========
-        property                 left       bottom    right      top
+        Property                 left       bottom    right      top
         =====================    ========== ========= ========== ==========
         axislabel angle          180        0         0          180
         axislabel va             center     top       center     bottom
@@ -601,97 +370,87 @@ def set_axis_direction(self, d):
         of the direction to the ticklabel), which gives 0 for bottom
         axis.
 
+        Parameters
+        ----------
+        d : {"left", "bottom", "right", "top"}
         """
-        if d not in ["left", "right", "top", "bottom"]:
-            raise ValueError('direction must be on of "left", "right", "top", "bottom"')
-
         self.set_default_alignment(d)
         self.set_default_angle(d)
 
     def get_color(self):
-        return self.get_attribute_from_ref_artist("color", "k")
+        return self.get_attribute_from_ref_artist("color")
 
     def draw(self, renderer):
         if not self.get_visible():
             return
 
-        pad = renderer.points_to_pixels(self.get_pad())
-        r = self._get_external_pad() + pad
-        self._set_offset_radius(r)
-
-        super(AxisLabel, self).draw(renderer)
+        self._offset_radius = \
+            self._external_pad + renderer.points_to_pixels(self.get_pad())
 
+        super().draw(renderer)
 
-    def get_window_extent(self, renderer):
-
+    def get_window_extent(self, renderer=None):
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
         if not self.get_visible():
             return
 
-        pad = renderer.points_to_pixels(self.get_pad())
-        r = self._get_external_pad() + pad
-        self._set_offset_radius(r)
+        r = self._external_pad + renderer.points_to_pixels(self.get_pad())
+        self._offset_radius = r
 
-        bb = super(AxisLabel, self).get_window_extent(renderer)
+        bb = super().get_window_extent(renderer)
 
         return bb
 
 
-class TickLabels(AxisLabel, AttributeCopier): # mtext.Text
+class TickLabels(AxisLabel):  # mtext.Text
     """
-    Tick Labels. While derived from Text, this single artist draws all
-    ticklabels. As in AxisLabel, the position of the text is updated
+    Tick labels. While derived from `.Text`, this single artist draws all
+    ticklabels. As in `.AxisLabel`, the position of the text is updated
     in the fly, so changing text position has no effect. Otherwise,
-    the properties can be changed as a normal Text. Unlike the
-    ticklabels of the mainline matplotlib, properties of single
-    ticklabel alone cannot modified.
+    the properties can be changed as a normal `.Text`. Unlike the
+    ticklabels of the mainline Matplotlib, properties of a single
+    ticklabel alone cannot be modified.
 
-    To change the pad between ticks and ticklabels, use set_pad.
+    To change the pad between ticks and ticklabels, use `~.AxisLabel.set_pad`.
     """
 
-    def __init__(self, **kwargs):
-
-        axis_direction = kwargs.pop("axis_direction", "bottom")
-        AxisLabel.__init__(self, **kwargs)
+    def __init__(self, *, axis_direction="bottom", **kwargs):
+        super().__init__(**kwargs)
         self.set_axis_direction(axis_direction)
-        #self._axis_direction = axis_direction
         self._axislabel_pad = 0
-        #self._extra_pad = 0
-
 
-    # attribute copier
     def get_ref_artist(self):
+        # docstring inherited
         return self._axis.get_ticklabels()[0]
 
     def set_axis_direction(self, label_direction):
         """
         Adjust the text angle and text alignment of ticklabels
-        according to the matplotlib convention.
+        according to the Matplotlib convention.
 
-        The *label_direction* must be one of [left, right, bottom,
-        top].
+        The *label_direction* must be one of [left, right, bottom, top].
 
         =====================    ========== ========= ========== ==========
-        property                 left       bottom    right      top
+        Property                 left       bottom    right      top
         =====================    ========== ========= ========== ==========
-        ticklabels angle         90         0         -90        180
+        ticklabel angle          90         0         -90        180
         ticklabel va             center     baseline  center     baseline
         ticklabel ha             right      center    right      center
         =====================    ========== ========= ========== ==========
 
-
         Note that the text angles are actually relative to (90 + angle
         of the direction to the ticklabel), which gives 0 for bottom
         axis.
 
-        """
+        Parameters
+        ----------
+        label_direction : {"left", "bottom", "right", "top"}
 
-        if label_direction not in ["left", "right", "top", "bottom"]:
-            raise ValueError('direction must be one of "left", "right", "top", "bottom"')
-
-        self._axis_direction = label_direction
+        """
         self.set_default_alignment(label_direction)
         self.set_default_angle(label_direction)
-
+        self._axis_direction = label_direction
 
     def invert_axis_direction(self):
         label_direction = self._get_opposite_direction(self._axis_direction)
@@ -699,11 +458,11 @@ def invert_axis_direction(self):
 
     def _get_ticklabels_offsets(self, renderer, label_direction):
         """
-        Calculates the offsets of the ticklabels from the tick and
-        their total heights. The offset only takes account the offset
-        due to the vertical alignment of the ticklabels, i.e.,if axis
-        direction is bottom and va is ;top', it will return 0. if va
-        is 'baseline', it will return (height-descent).
+        Calculate the ticklabel offsets from the tick and their total heights.
+
+        The offset only takes account the offset due to the vertical alignment
+        of the ticklabels: if axis direction is bottom and va is 'top', it will
+        return 0; if va is 'baseline', it will return (height-descent).
         """
         whd_list = self.get_texts_widths_heights_descents(renderer)
 
@@ -714,243 +473,215 @@ def _get_ticklabels_offsets(self, renderer, label_direction):
         va, ha = self.get_va(), self.get_ha()
 
         if label_direction == "left":
-            pad = max([w for (w, h, d) in whd_list])
+            pad = max(w for w, h, d in whd_list)
             if ha == "left":
                 r = pad
             elif ha == "center":
                 r = .5 * pad
         elif label_direction == "right":
-            pad = max([w for (w, h, d) in whd_list])
+            pad = max(w for w, h, d in whd_list)
             if ha == "right":
                 r = pad
             elif ha == "center":
                 r = .5 * pad
         elif label_direction == "bottom":
-            pad = max([h for (w, h, d) in whd_list])
+            pad = max(h for w, h, d in whd_list)
             if va == "bottom":
                 r = pad
             elif va == "center":
-                r =.5 * pad
+                r = .5 * pad
             elif va == "baseline":
-                max_ascent = max([(h-d) for (w, h, d) in whd_list])
-                max_descent = max([d for (w, h, d) in whd_list])
-                r  = max_ascent
+                max_ascent = max(h - d for w, h, d in whd_list)
+                max_descent = max(d for w, h, d in whd_list)
+                r = max_ascent
                 pad = max_ascent + max_descent
         elif label_direction == "top":
-            pad = max([h for (w, h, d) in whd_list])
+            pad = max(h for w, h, d in whd_list)
             if va == "top":
                 r = pad
             elif va == "center":
-                r =.5 * pad
+                r = .5 * pad
             elif va == "baseline":
-                max_ascent = max([(h-d) for (w, h, d) in whd_list])
-                max_descent = max([d for (w, h, d) in whd_list])
-                r  = max_descent
+                max_ascent = max(h - d for w, h, d in whd_list)
+                max_descent = max(d for w, h, d in whd_list)
+                r = max_descent
                 pad = max_ascent + max_descent
 
-        #tick_pad = renderer.points_to_pixels(self.get_pad())
-
         # r : offset
-
         # pad : total height of the ticklabels. This will be used to
         # calculate the pad for the axislabel.
         return r, pad
 
-
-
     _default_alignments = dict(left=("center", "right"),
                                right=("center", "left"),
                                bottom=("baseline", "center"),
                                top=("baseline", "center"))
 
-
-
-    # set_default_alignments(self, d)
-
     _default_angles = dict(left=90,
                            right=-90,
                            bottom=0,
                            top=180)
 
-
     def draw(self, renderer):
         if not self.get_visible():
-            self._axislabel_pad = self._get_external_pad()
+            self._axislabel_pad = self._external_pad
             return
 
         r, total_width = self._get_ticklabels_offsets(renderer,
                                                       self._axis_direction)
 
-        #self._set_external_pad(r+self._get_external_pad())
-        pad = self._get_external_pad() + \
-              renderer.points_to_pixels(self.get_pad())
-        self._set_offset_radius(r+pad)
-
-        #self._set_offset_radius(r)
+        pad = self._external_pad + renderer.points_to_pixels(self.get_pad())
+        self._offset_radius = r + pad
 
         for (x, y), a, l in self._locs_angles_labels:
-            if not l.strip(): continue
-            self._set_ref_angle(a) #+ add_angle
+            if not l.strip():
+                continue
+            self._ref_angle = a
             self.set_x(x)
             self.set_y(y)
             self.set_text(l)
             LabelBase.draw(self, renderer)
 
-        self._axislabel_pad = total_width \
-                              + pad # the value saved will be used to draw axislabel.
-
+        # the value saved will be used to draw axislabel.
+        self._axislabel_pad = total_width + pad
 
     def set_locs_angles_labels(self, locs_angles_labels):
         self._locs_angles_labels = locs_angles_labels
 
-    def get_window_extents(self, renderer):
+    def get_window_extents(self, renderer=None):
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
 
         if not self.get_visible():
-            self._axislabel_pad = self._get_external_pad()
+            self._axislabel_pad = self._external_pad
             return []
 
         bboxes = []
 
         r, total_width = self._get_ticklabels_offsets(renderer,
-                                                     self._axis_direction)
-
-        pad = self._get_external_pad() + \
-              renderer.points_to_pixels(self.get_pad())
-        self._set_offset_radius(r+pad)
+                                                      self._axis_direction)
 
+        pad = self._external_pad + renderer.points_to_pixels(self.get_pad())
+        self._offset_radius = r + pad
 
         for (x, y), a, l in self._locs_angles_labels:
-            self._set_ref_angle(a) #+ add_angle
+            self._ref_angle = a
             self.set_x(x)
             self.set_y(y)
             self.set_text(l)
             bb = LabelBase.get_window_extent(self, renderer)
             bboxes.append(bb)
 
-        self._axislabel_pad = total_width \
-                              + pad # the value saved will be used to draw axislabel.
+        # the value saved will be used to draw axislabel.
+        self._axislabel_pad = total_width + pad
 
         return bboxes
 
-
     def get_texts_widths_heights_descents(self, renderer):
         """
-        return a list of width, height, descent for ticklabels.
+        Return a list of ``(width, height, descent)`` tuples for ticklabels.
+
+        Empty labels are left out.
         """
         whd_list = []
-        for (x, y), a, l in self._locs_angles_labels:
-            if not l.strip(): continue
-            clean_line, ismath = self.is_math_text(l)
-            whd = renderer.get_text_width_height_descent(
-                clean_line, self._fontproperties, ismath=ismath)
+        for _loc, _angle, label in self._locs_angles_labels:
+            if not label.strip():
+                continue
+            clean_line, ismath = self._preprocess_math(label)
+            whd = mtext._get_text_metrics_with_cache(
+                renderer, clean_line, self._fontproperties, ismath=ismath,
+                dpi=self.get_figure(root=True).dpi)
             whd_list.append(whd)
-
         return whd_list
 
 
-
-def test_ticklabels():
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1)
-    fig.clf()
-    ax = fig.add_subplot(111)
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-    ax.plot([0.2, 0.4], [0.5, 0.5], "o")
-    ticks = Ticks(ticksize=10, axis=ax.xaxis)
-    ax.add_artist(ticks)
-    locs_angles_labels = [((0.2, 0.5), -90, "0.2"),
-                          ((0.4, 0.5), -120, "0.4")]
-    tick_locs_angles = [(xy, a+180) for xy, a, l in locs_angles_labels]
-    ticks.set_locs_angles(tick_locs_angles)
-
-
-    ax.plot([0.5], [0.5], ",")
-    axislabel = AxisLabel(0.5, 0.5, "Test")
-    axislabel._set_offset_radius(20)
-    axislabel._set_ref_angle(0)
-    axislabel.set_axis_direction("bottom")
-    #axislabel._text_follow_ref_angle = True
-    #axislabel.set(va="center", ha="right")
-    ax.add_artist(axislabel)
-
-    if 1:
-        ticklabels = TickLabels(axis_direction="left")
-        ticklabels._locs_angles_labels = locs_angles_labels
-        #ticklabels.set_rotation(90)
-        ticklabels.set_pad(10)
-
-        ax.add_artist(ticklabels)
-
-    ax.set_xlim(0, 1); ax.set_ylim(0, 1)
-
-    plt.draw()
-
-
-
-
 class GridlinesCollection(LineCollection):
-    def __init__(self, *kl, **kwargs):
+    def __init__(self, *args, which="major", axis="both", **kwargs):
         """
-        *which* : "major" or "minor"
-        *axis* : "both", "x" or "y"
+        Collection of grid lines.
+
+        Parameters
+        ----------
+        which : {"major", "minor"}
+            Which grid to consider.
+        axis : {"both", "x", "y"}
+            Which axis to consider.
+        *args, **kwargs
+            Passed to `.LineCollection`.
         """
-        self._which = kwargs.pop("which", "major")
-        self._axis = kwargs.pop("axis", "both")
-        super(GridlinesCollection, self).__init__(*kl, **kwargs)
+        self._which = which
+        self._axis = axis
+        super().__init__(*args, **kwargs)
         self.set_grid_helper(None)
 
     def set_which(self, which):
+        """
+        Select major or minor grid lines.
+
+        Parameters
+        ----------
+        which : {"major", "minor"}
+        """
         self._which = which
 
     def set_axis(self, axis):
+        """
+        Select axis.
+
+        Parameters
+        ----------
+        axis : {"both", "x", "y"}
+        """
         self._axis = axis
 
     def set_grid_helper(self, grid_helper):
+        """
+        Set grid helper.
+
+        Parameters
+        ----------
+        grid_helper : `.GridHelperBase` subclass
+        """
         self._grid_helper = grid_helper
 
     def draw(self, renderer):
         if self._grid_helper is not None:
             self._grid_helper.update_lim(self.axes)
             gl = self._grid_helper.get_gridlines(self._which, self._axis)
-            if gl:
-                self.set_segments([np.transpose(l) for l in gl])
-            else:
-                self.set_segments([])
-        super(GridlinesCollection, self).draw(renderer)
-
-
+            self.set_segments([np.transpose(l) for l in gl])
+        super().draw(renderer)
 
 
 class AxisArtist(martist.Artist):
     """
     An artist which draws axis (a line along which the n-th axes coord
-    is constant) line, ticks, ticklabels, and axis label.
+    is constant) line, ticks, tick labels, and axis label.
     """
 
-    ZORDER=2.5
+    zorder = 2.5
 
-    # LABELPAD : as property
-    def _set_labelpad(self, v):
-        return self.label.set_pad(v)
-
-    def _get_labelpad(self):
+    @property
+    def LABELPAD(self):
         return self.label.get_pad()
 
-    LABELPAD = property(_get_labelpad, _set_labelpad)
+    @LABELPAD.setter
+    def LABELPAD(self, v):
+        self.label.set_pad(v)
 
     def __init__(self, axes,
                  helper,
                  offset=None,
                  axis_direction="bottom",
-                 **kw):
+                 **kwargs):
         """
-        *axes* : axes
-        *helper* : an AxisArtistHelper instance.
+        Parameters
+        ----------
+        axes : `mpl_toolkits.axisartist.axislines.Axes`
+        helper : `~mpl_toolkits.axisartist.axislines.AxisArtistHelper`
         """
-        #axes is also used to follow the axis attribute (tick color, etc).
+        # axes is also used to follow the axis attribute (tick color, etc).
 
-        super(AxisArtist, self).__init__(**kw)
+        super().__init__(**kwargs)
 
         self.axes = axes
 
@@ -958,65 +689,45 @@ def __init__(self, axes,
 
         if offset is None:
             offset = (0, 0)
-        self.dpi_transform = Affine2D()
-        self.offset_transform = ScaledTranslation(offset[0], offset[1],
-                                                  self.dpi_transform)
-
-        self._label_visible = True
-        self._majortick_visible = True
-        self._majorticklabel_visible = True
-        self._minortick_visible = True
-        self._minorticklabel_visible = True
-
+        self.offset_transform = ScaledTranslation(
+            *offset,
+            Affine2D().scale(1 / 72)  # points to inches.
+            + self.axes.get_figure(root=False).dpi_scale_trans)
 
-        #if self._axis_artist_helper._loc in ["left", "right"]:
         if axis_direction in ["left", "right"]:
-            axis_name = "ytick"
             self.axis = axes.yaxis
         else:
-            axis_name = "xtick"
             self.axis = axes.xaxis
 
-
         self._axisline_style = None
-
-
         self._axis_direction = axis_direction
 
-
         self._init_line()
-        self._init_ticks(axis_name, **kw)
+        self._init_ticks(**kwargs)
         self._init_offsetText(axis_direction)
         self._init_label()
 
-        self.set_zorder(self.ZORDER)
-
-        self._rotate_label_along_line = False
-
         # axis direction
-        self._tick_add_angle = 180.
         self._ticklabel_add_angle = 0.
         self._axislabel_add_angle = 0.
         self.set_axis_direction(axis_direction)
 
-
     # axis direction
 
     def set_axis_direction(self, axis_direction):
         """
-        Adjust the direction, text angle, text alignment of
-        ticklabels, labels following the matplotlib convention for
-        the rectangle axes.
+        Adjust the direction, text angle, and text alignment of tick labels
+        and axis labels following the Matplotlib convention for the rectangle
+        axes.
 
-        The *axis_direction* must be one of [left, right, bottom,
-        top].
+        The *axis_direction* must be one of [left, right, bottom, top].
 
         =====================    ========== ========= ========== ==========
-        property                 left       bottom    right      top
+        Property                 left       bottom    right      top
         =====================    ========== ========= ========== ==========
-        ticklabels location      "-"        "+"       "+"        "-"
-        axislabel location       "-"        "+"       "+"        "-"
-        ticklabels angle         90         0         -90        180
+        ticklabel direction      "-"        "+"       "+"        "-"
+        axislabel direction      "-"        "+"       "+"        "-"
+        ticklabel angle          90         0         -90        180
         ticklabel va             center     baseline  center     baseline
         ticklabel ha             right      center    right      center
         axislabel angle          180        0         0          180
@@ -1024,83 +735,57 @@ def set_axis_direction(self, axis_direction):
         axislabel ha             right      center    right      center
         =====================    ========== ========= ========== ==========
 
-
         Note that the direction "+" and "-" are relative to the direction of
         the increasing coordinate. Also, the text angles are actually
         relative to (90 + angle of the direction to the ticklabel),
         which gives 0 for bottom axis.
 
+        Parameters
+        ----------
+        axis_direction : {"left", "bottom", "right", "top"}
         """
-
-        if axis_direction not in ["left", "right", "top", "bottom"]:
-            raise ValueError('direction must be on of "left", "right", "top", "bottom"')
+        self.major_ticklabels.set_axis_direction(axis_direction)
+        self.label.set_axis_direction(axis_direction)
         self._axis_direction = axis_direction
         if axis_direction in ["left", "top"]:
-            #self._set_tick_direction("+")
             self.set_ticklabel_direction("-")
             self.set_axislabel_direction("-")
         else:
-            #self._set_tick_direction("-")
             self.set_ticklabel_direction("+")
             self.set_axislabel_direction("+")
 
-        self.major_ticklabels.set_axis_direction(axis_direction)
-        self.label.set_axis_direction(axis_direction)
-
-    # def _set_tick_direction(self, d):
-    #     if d not in ["+", "-"]:
-    #         raise ValueError('direction must be on of "in", "out"')
-
-    #     if d == "+":
-    #         self._tick_add_angle = 0 #get_helper()._extremes=0, 10
-    #     else:
-    #         self._tick_add_angle = 180 #get_helper()._extremes=0, 10
-
     def set_ticklabel_direction(self, tick_direction):
-        """
-        Adjust the direction of the ticklabel.
-
-         ACCEPTS: [ "+" | "-" ]
+        r"""
+        Adjust the direction of the tick labels.
 
-        Note that the label_direction '+' and '-' are relative to the
+        Note that the *tick_direction*\s '+' and '-' are relative to the
         direction of the increasing coordinate.
-        """
-
-        if tick_direction not in ["+", "-"]:
-            raise ValueError('direction must be one of "+", "-"')
 
-        if tick_direction == "-":
-            self._ticklabel_add_angle = 180
-        else:
-            self._ticklabel_add_angle = 0
+        Parameters
+        ----------
+        tick_direction : {"+", "-"}
+        """
+        self._ticklabel_add_angle = _api.check_getitem(
+            {"+": 0, "-": 180}, tick_direction=tick_direction)
 
     def invert_ticklabel_direction(self):
         self._ticklabel_add_angle = (self._ticklabel_add_angle + 180) % 360
         self.major_ticklabels.invert_axis_direction()
         self.minor_ticklabels.invert_axis_direction()
 
-    # def invert_ticks_direction(self):
-    #     self.major_ticks.set_tick_out(not self.major_ticks.get_tick_out())
-    #     self.minor_ticks.set_tick_out(not self.minor_ticks.get_tick_out())
-
     def set_axislabel_direction(self, label_direction):
-        """
-        Adjust the direction of the axislabel.
+        r"""
+        Adjust the direction of the axis label.
 
-         ACCEPTS: [ "+" | "-" ]
-
-        Note that the label_direction '+' and '-' are relative to the
+        Note that the *label_direction*\s '+' and '-' are relative to the
         direction of the increasing coordinate.
-        """
-        if label_direction not in ["+", "-"]:
-            raise ValueError('direction must be one of "+", "-"')
-
-        if label_direction == "-":
-            self._axislabel_add_angle = 180
-        else:
-            self._axislabel_add_angle = 0
-
 
+        Parameters
+        ----------
+        label_direction : {"+", "-"}
+        """
+        self._axislabel_add_angle = _api.check_getitem(
+            {"+": 0, "-": 180}, label_direction=label_direction)
 
     def get_transform(self):
         return self.axes.transAxes + self.offset_transform
@@ -1111,55 +796,60 @@ def get_helper(self):
         """
         return self._axis_artist_helper
 
-
-    def set_axisline_style(self, axisline_style=None, **kw):
+    def set_axisline_style(self, axisline_style=None, **kwargs):
         """
         Set the axisline style.
 
-        *axisline_style* can be a string with axisline style name with optional
-         comma-separated attributes. Alternatively, the attrs can
-         be provided as keywords.
+        The new style is completely defined by the passed attributes. Existing
+        style attributes are forgotten.
 
-         set_arrowstyle("->,size=1.5")
-         set_arrowstyle("->", size=1.5)
+        Parameters
+        ----------
+        axisline_style : str or None
+            The line style, e.g. '->', optionally followed by a comma-separated
+            list of attributes. Alternatively, the attributes can be provided
+            as keywords.
 
-        Old attrs simply are forgotten.
+            If *None* this returns a string containing the available styles.
 
-        Without argument (or with arrowstyle=None), return
-        available styles as a list of strings.
-        """
+        Examples
+        --------
+        The following two commands are equal:
 
-        if axisline_style==None:
+        >>> set_axisline_style("->,size=1.5")
+        >>> set_axisline_style("->", size=1.5)
+        """
+        if axisline_style is None:
             return AxislineStyle.pprint_styles()
 
         if isinstance(axisline_style, AxislineStyle._Base):
             self._axisline_style = axisline_style
         else:
-            self._axisline_style = AxislineStyle(axisline_style, **kw)
-
+            self._axisline_style = AxislineStyle(axisline_style, **kwargs)
 
         self._init_line()
 
-
     def get_axisline_style(self):
-        """
-        return the current axisline style.
-        """
+        """Return the current axisline style."""
         return self._axisline_style
 
     def _init_line(self):
         """
         Initialize the *line* artist that is responsible to draw the axis line.
         """
-        tran = self._axis_artist_helper.get_line_transform(self.axes) \
-               + self.offset_transform
+        tran = (self._axis_artist_helper.get_line_transform(self.axes)
+                + self.offset_transform)
 
         axisline_style = self.get_axisline_style()
         if axisline_style is None:
-            self.line = BezierPath(self._axis_artist_helper.get_line(self.axes),
-                                   color=rcParams['axes.edgecolor'],
-                                   linewidth=rcParams['axes.linewidth'],
-                                   transform=tran)
+            self.line = PathPatch(
+                self._axis_artist_helper.get_line(self.axes),
+                color=mpl.rcParams['axes.edgecolor'],
+                fill=False,
+                linewidth=mpl.rcParams['axes.linewidth'],
+                capstyle=mpl.rcParams['lines.solid_capstyle'],
+                joinstyle=mpl.rcParams['lines.solid_joinstyle'],
+                transform=tran)
         else:
             self.line = axisline_style(self, transform=tran)
 
@@ -1169,416 +859,223 @@ def _draw_line(self, renderer):
             self.line.set_line_mutation_scale(self.major_ticklabels.get_size())
         self.line.draw(renderer)
 
-
-    def _init_ticks(self, axis_name, **kw):
-
-        trans=self._axis_artist_helper.get_tick_transform(self.axes) \
-               + self.offset_transform
-
-
-        major_tick_size = kw.get("major_tick_size",
-                                 rcParams['%s.major.size'%axis_name])
-        major_tick_pad = kw.get("major_tick_pad",
-                                rcParams['%s.major.pad'%axis_name])
-        minor_tick_size = kw.get("minor_tick_size",
-                                 rcParams['%s.minor.size'%axis_name])
-        minor_tick_pad = kw.get("minor_tick_pad",
-                                rcParams['%s.minor.pad'%axis_name])
-
-        self.major_ticks = Ticks(major_tick_size,
-                                 axis=self.axis,
-                                 transform=trans)
-        self.minor_ticks = Ticks(minor_tick_size,
-                                 axis=self.axis,
-                                 transform=trans)
-
-        if axis_name == "xaxis":
-            size = rcParams['xtick.labelsize']
-        else:
-            size = rcParams['ytick.labelsize']
-
-
-        fontprops = font_manager.FontProperties(size=size)
-
-        self.major_ticklabels = TickLabels(size=size, axis=self.axis,
-                                           axis_direction=self._axis_direction)
-        self.minor_ticklabels = TickLabels(size=size, axis=self.axis,
-                                           axis_direction=self._axis_direction)
-
-
-        self.major_ticklabels.set(figure = self.axes.figure,
-                                  transform=trans,
-                                  fontproperties=fontprops)
-        self.major_ticklabels.set_pad(major_tick_pad)
-
-        self.minor_ticklabels.set(figure = self.axes.figure,
-                                  transform=trans,
-                                  fontproperties=fontprops)
-        self.minor_ticklabels.set_pad(minor_tick_pad)
-
-
+    def _init_ticks(self, **kwargs):
+        axis_name = self.axis.axis_name
+
+        trans = (self._axis_artist_helper.get_tick_transform(self.axes)
+                 + self.offset_transform)
+
+        self.major_ticks = Ticks(
+            kwargs.get(
+                "major_tick_size",
+                mpl.rcParams[f"{axis_name}tick.major.size"]),
+            axis=self.axis, transform=trans)
+        self.minor_ticks = Ticks(
+            kwargs.get(
+                "minor_tick_size",
+                mpl.rcParams[f"{axis_name}tick.minor.size"]),
+            axis=self.axis, transform=trans)
+
+        size = mpl.rcParams[f"{axis_name}tick.labelsize"]
+        self.major_ticklabels = TickLabels(
+            axis=self.axis,
+            axis_direction=self._axis_direction,
+            figure=self.axes.get_figure(root=False),
+            transform=trans,
+            fontsize=size,
+            pad=kwargs.get(
+                "major_tick_pad", mpl.rcParams[f"{axis_name}tick.major.pad"]),
+        )
+        self.minor_ticklabels = TickLabels(
+            axis=self.axis,
+            axis_direction=self._axis_direction,
+            figure=self.axes.get_figure(root=False),
+            transform=trans,
+            fontsize=size,
+            pad=kwargs.get(
+                "minor_tick_pad", mpl.rcParams[f"{axis_name}tick.minor.pad"]),
+        )
 
     def _get_tick_info(self, tick_iter):
         """
-        return ticks_loc_angle, ticklabels_loc_angle_label
+        Return a pair of:
 
-        ticks_loc_angle : list of locs and angles for ticks
-        ticklabels_loc_angle_label : list of locs, angles and labels for tickslabels
+        - list of locs and angles for ticks
+        - list of locs, angles and labels for ticklabels.
         """
         ticks_loc_angle = []
         ticklabels_loc_angle_label = []
 
-        tick_add_angle = self._tick_add_angle
         ticklabel_add_angle = self._ticklabel_add_angle
 
         for loc, angle_normal, angle_tangent, label in tick_iter:
-            angle_label = angle_tangent  - 90
-            angle_label += ticklabel_add_angle
-
-            if np.cos((angle_label - angle_normal)/180.*np.pi) < 0.:
-                angle_tick = angle_normal
-            else:
-                angle_tick = angle_normal + 180
-
+            angle_label = angle_tangent - 90 + ticklabel_add_angle
+            angle_tick = (angle_normal
+                          if 90 <= (angle_label - angle_normal) % 360 <= 270
+                          else angle_normal + 180)
             ticks_loc_angle.append([loc, angle_tick])
             ticklabels_loc_angle_label.append([loc, angle_label, label])
 
         return ticks_loc_angle, ticklabels_loc_angle_label
 
+    def _update_ticks(self, renderer=None):
+        # set extra pad for major and minor ticklabels: use ticksize of
+        # majorticks even for minor ticks. not clear what is best.
 
-    def _update_ticks(self, renderer):
-
-
-        # set extra pad for major and minor ticklabels:
-        # use ticksize of majorticks even for minor ticks. not clear what is best.
+        if renderer is None:
+            renderer = self.get_figure(root=True)._get_renderer()
 
         dpi_cor = renderer.points_to_pixels(1.)
         if self.major_ticks.get_visible() and self.major_ticks.get_tick_out():
-            self.major_ticklabels._set_external_pad(self.major_ticks._ticksize*dpi_cor)
-            self.minor_ticklabels._set_external_pad(self.major_ticks._ticksize*dpi_cor)
+            ticklabel_pad = self.major_ticks._ticksize * dpi_cor
+            self.major_ticklabels._external_pad = ticklabel_pad
+            self.minor_ticklabels._external_pad = ticklabel_pad
         else:
-            self.major_ticklabels._set_external_pad(0)
-            self.minor_ticklabels._set_external_pad(0)
-
+            self.major_ticklabels._external_pad = 0
+            self.minor_ticklabels._external_pad = 0
 
-        majortick_iter,  minortick_iter = \
-                self._axis_artist_helper.get_tick_iterators(self.axes)
-
-        tick_loc_angle, ticklabel_loc_angle_label \
-                              = self._get_tick_info(majortick_iter)
+        majortick_iter, minortick_iter = \
+            self._axis_artist_helper.get_tick_iterators(self.axes)
 
+        tick_loc_angle, ticklabel_loc_angle_label = \
+            self._get_tick_info(majortick_iter)
         self.major_ticks.set_locs_angles(tick_loc_angle)
         self.major_ticklabels.set_locs_angles_labels(ticklabel_loc_angle_label)
 
-        #self.major_ticks.draw(renderer)
-        #self.major_ticklabels.draw(renderer)
-
-
-        # minor ticks
-        tick_loc_angle, ticklabel_loc_angle_label \
-                              = self._get_tick_info(minortick_iter)
-
+        tick_loc_angle, ticklabel_loc_angle_label = \
+            self._get_tick_info(minortick_iter)
         self.minor_ticks.set_locs_angles(tick_loc_angle)
         self.minor_ticklabels.set_locs_angles_labels(ticklabel_loc_angle_label)
 
-        #self.minor_ticks.draw(renderer)
-        #self.minor_ticklabels.draw(renderer)
-
-
-        #if (self.major_ticklabels.get_visible() or self.minor_ticklabels.get_visible()):
-        #    self._draw_offsetText(renderer)
-
-        return self.major_ticklabels.get_window_extents(renderer)
-
-
     def _draw_ticks(self, renderer):
-
-        extents = self._update_ticks(renderer)
-
-        self.major_ticks.draw(renderer)
-        self.major_ticklabels.draw(renderer)
-
-        self.minor_ticks.draw(renderer)
-        self.minor_ticklabels.draw(renderer)
-
-
-        if (self.major_ticklabels.get_visible() or self.minor_ticklabels.get_visible()):
-            self._draw_offsetText(renderer)
-
-        return extents
-
-    def _draw_ticks2(self, renderer):
-
-
-        # set extra pad for major and minor ticklabels:
-        # use ticksize of majorticks even for minor ticks. not clear what is best.
-
-        dpi_cor = renderer.points_to_pixels(1.)
-        if self.major_ticks.get_visible() and self.major_ticks.get_tick_out():
-            self.major_ticklabels._set_external_pad(self.major_ticks._ticksize*dpi_cor)
-            self.minor_ticklabels._set_external_pad(self.major_ticks._ticksize*dpi_cor)
-        else:
-            self.major_ticklabels._set_external_pad(0)
-            self.minor_ticklabels._set_external_pad(0)
-
-
-        majortick_iter,  minortick_iter = \
-                self._axis_artist_helper.get_tick_iterators(self.axes)
-
-        tick_loc_angle, ticklabel_loc_angle_label \
-                              = self._get_tick_info(majortick_iter)
-
-        self.major_ticks.set_locs_angles(tick_loc_angle)
-        self.major_ticklabels.set_locs_angles_labels(ticklabel_loc_angle_label)
-
+        self._update_ticks(renderer)
         self.major_ticks.draw(renderer)
         self.major_ticklabels.draw(renderer)
-
-
-        # minor ticks
-        tick_loc_angle, ticklabel_loc_angle_label \
-                              = self._get_tick_info(minortick_iter)
-
-        self.minor_ticks.set_locs_angles(tick_loc_angle)
-        self.minor_ticklabels.set_locs_angles_labels(ticklabel_loc_angle_label)
-
         self.minor_ticks.draw(renderer)
         self.minor_ticklabels.draw(renderer)
-
-
-        if (self.major_ticklabels.get_visible() or self.minor_ticklabels.get_visible()):
+        if (self.major_ticklabels.get_visible()
+                or self.minor_ticklabels.get_visible()):
             self._draw_offsetText(renderer)
 
-        return self.major_ticklabels.get_window_extents(renderer)
-
-
-
-
     _offsetText_pos = dict(left=(0, 1, "bottom", "right"),
                            right=(1, 1, "bottom", "left"),
                            bottom=(1, 0, "top", "right"),
                            top=(1, 1, "bottom", "right"))
 
     def _init_offsetText(self, direction):
-
-        x,y,va,ha = self._offsetText_pos[direction]
-
-        self.offsetText = mtext.Annotation("",
-                                           xy=(x,y), xycoords="axes fraction",
-                                           xytext=(0,0), textcoords="offset points",
-                                           #fontproperties = fp,
-                                           color = rcParams['xtick.color'],
-                                           verticalalignment=va,
-                                           horizontalalignment=ha,
-                                           )
+        x, y, va, ha = self._offsetText_pos[direction]
+        self.offsetText = mtext.Annotation(
+            "",
+            xy=(x, y), xycoords="axes fraction",
+            xytext=(0, 0), textcoords="offset points",
+            color=mpl.rcParams['xtick.color'],
+            horizontalalignment=ha, verticalalignment=va,
+        )
         self.offsetText.set_transform(IdentityTransform())
         self.axes._set_artist_props(self.offsetText)
 
-
     def _update_offsetText(self):
-        self.offsetText.set_text( self.axis.major.formatter.get_offset() )
+        self.offsetText.set_text(self.axis.major.formatter.get_offset())
         self.offsetText.set_size(self.major_ticklabels.get_size())
-        offset = self.major_ticklabels.get_pad() + self.major_ticklabels.get_size() + 2.
-        self.offsetText.xyann= (0, offset)
-
+        offset = (self.major_ticklabels.get_pad()
+                  + self.major_ticklabels.get_size()
+                  + 2)
+        self.offsetText.xyann = (0, offset)
 
     def _draw_offsetText(self, renderer):
         self._update_offsetText()
         self.offsetText.draw(renderer)
 
-
-
-    def _init_label(self, **kw):
-        # x in axes coords, y in display coords (to be updated at draw
-        # time by _update_label_positions)
-
-        labelsize = kw.get("labelsize",
-                           rcParams['axes.labelsize'])
-        #labelcolor = kw.get("labelcolor",
-        #                    rcParams['axes.labelcolor'])
-        fontprops = font_manager.FontProperties(
-            size=labelsize,
-            weight=rcParams['axes.labelweight'])
-        textprops = dict(fontproperties = fontprops)
-                         #color = labelcolor)
-
-        tr = self._axis_artist_helper.get_axislabel_transform(self.axes) \
-             + self.offset_transform
-
-        self.label = AxisLabel(0, 0, "__from_axes__",
-                               color = "auto", #rcParams['axes.labelcolor'],
-                               fontproperties=fontprops,
-                               axis=self.axis,
-                               transform=tr,
-                               axis_direction=self._axis_direction,
-                               )
-
-        self.label.set_figure(self.axes.figure)
-
-        labelpad = kw.get("labelpad", 5)
+    def _init_label(self, **kwargs):
+        tr = (self._axis_artist_helper.get_axislabel_transform(self.axes)
+              + self.offset_transform)
+        self.label = AxisLabel(
+            0, 0, "__from_axes__",
+            color="auto",
+            fontsize=kwargs.get("labelsize", mpl.rcParams['axes.labelsize']),
+            fontweight=mpl.rcParams['axes.labelweight'],
+            axis=self.axis,
+            transform=tr,
+            axis_direction=self._axis_direction,
+        )
+        self.label.set_figure(self.axes.get_figure(root=False))
+        labelpad = kwargs.get("labelpad", 5)
         self.label.set_pad(labelpad)
 
-
     def _update_label(self, renderer):
-
         if not self.label.get_visible():
             return
 
-        fontprops = font_manager.FontProperties(
-            size=rcParams['axes.labelsize'],
-            weight=rcParams['axes.labelweight'])
-
-        #pad_points = self.major_tick_pad
-
-        #print self._ticklabel_add_angle - self._axislabel_add_angle
-        #if abs(self._ticklabel_add_angle - self._axislabel_add_angle)%360 > 90:
-        if self._ticklabel_add_angle !=  self._axislabel_add_angle:
-            if (self.major_ticks.get_visible() and not self.major_ticks.get_tick_out()) \
-               or \
-               (self.minor_ticks.get_visible() and not self.major_ticks.get_tick_out()):
+        if self._ticklabel_add_angle != self._axislabel_add_angle:
+            if ((self.major_ticks.get_visible()
+                 and not self.major_ticks.get_tick_out())
+                or (self.minor_ticks.get_visible()
+                    and not self.major_ticks.get_tick_out())):
                 axislabel_pad = self.major_ticks._ticksize
             else:
                 axislabel_pad = 0
         else:
-            axislabel_pad = max([self.major_ticklabels._axislabel_pad,
-                                 self.minor_ticklabels._axislabel_pad])
-
+            axislabel_pad = max(self.major_ticklabels._axislabel_pad,
+                                self.minor_ticklabels._axislabel_pad)
 
-        #label_offset =  axislabel_pad + self.LABELPAD
+        self.label._external_pad = axislabel_pad
 
-        #self.label._set_offset_radius(label_offset)
-        self.label._set_external_pad(axislabel_pad)
-
-        xy, angle_tangent = self._axis_artist_helper.get_axislabel_pos_angle(self.axes)
-        if xy is None: return
-
-        angle_label = angle_tangent  - 90
+        xy, angle_tangent = \
+            self._axis_artist_helper.get_axislabel_pos_angle(self.axes)
+        if xy is None:
+            return
 
+        angle_label = angle_tangent - 90
 
         x, y = xy
-        self.label._set_ref_angle(angle_label+self._axislabel_add_angle)
+        self.label._ref_angle = angle_label + self._axislabel_add_angle
         self.label.set(x=x, y=y)
 
-
     def _draw_label(self, renderer):
         self._update_label(renderer)
         self.label.draw(renderer)
 
-    def _draw_label2(self, renderer):
-
-        if not self.label.get_visible():
-            return
-
-        fontprops = font_manager.FontProperties(
-            size=rcParams['axes.labelsize'],
-            weight=rcParams['axes.labelweight'])
-
-        #pad_points = self.major_tick_pad
-
-        #print self._ticklabel_add_angle - self._axislabel_add_angle
-        #if abs(self._ticklabel_add_angle - self._axislabel_add_angle)%360 > 90:
-        if self._ticklabel_add_angle !=  self._axislabel_add_angle:
-            if (self.major_ticks.get_visible() and not self.major_ticks.get_tick_out()) \
-               or \
-               (self.minor_ticks.get_visible() and not self.major_ticks.get_tick_out()):
-                axislabel_pad = self.major_ticks._ticksize
-            else:
-                axislabel_pad = 0
-        else:
-            axislabel_pad = max([self.major_ticklabels._axislabel_pad,
-                                 self.minor_ticklabels._axislabel_pad])
-
-
-        #label_offset =  axislabel_pad + self.LABELPAD
-
-        #self.label._set_offset_radius(label_offset)
-        self.label._set_external_pad(axislabel_pad)
-
-        xy, angle_tangent = self._axis_artist_helper.get_axislabel_pos_angle(self.axes)
-        if xy is None: return
-
-        angle_label = angle_tangent  - 90
-
-
-        x, y = xy
-        self.label._set_ref_angle(angle_label+self._axislabel_add_angle)
-        self.label.set(x=x, y=y)
-        self.label.draw(renderer)
-
-
-
     def set_label(self, s):
+        # docstring inherited
         self.label.set_text(s)
 
-
-
-    def get_tightbbox(self, renderer):
-        if not self.get_visible(): return
-
+    def get_tightbbox(self, renderer=None):
+        if not self.get_visible():
+            return
         self._axis_artist_helper.update_lim(self.axes)
-
-        dpi_cor = renderer.points_to_pixels(1.)
-        self.dpi_transform.clear().scale(dpi_cor, dpi_cor)
-
-
-        bb = []
-
         self._update_ticks(renderer)
-
-        #if self.major_ticklabels.get_visible():
-        bb.extend(self.major_ticklabels.get_window_extents(renderer))
-        #if self.minor_ticklabels.get_visible():
-        bb.extend(self.minor_ticklabels.get_window_extents(renderer))
-
-
         self._update_label(renderer)
 
-        #if self.label.get_visible():
-        bb.append(self.label.get_window_extent(renderer))
-        bb.append(self.offsetText.get_window_extent(renderer))
+        self.line.set_path(self._axis_artist_helper.get_line(self.axes))
+        if self.get_axisline_style() is not None:
+            self.line.set_line_mutation_scale(self.major_ticklabels.get_size())
 
-        bb = [b for b in bb if b and (b.width!=0 or b.height!=0)]
+        bb = [
+            *self.major_ticklabels.get_window_extents(renderer),
+            *self.minor_ticklabels.get_window_extents(renderer),
+            self.label.get_window_extent(renderer),
+            self.offsetText.get_window_extent(renderer),
+            self.line.get_window_extent(renderer),
+        ]
+        bb = [b for b in bb if b and (b.width != 0 or b.height != 0)]
         if bb:
             _bbox = Bbox.union(bb)
             return _bbox
         else:
             return None
 
-        #self._draw_line(renderer)
-
-        #self._draw_ticks(renderer)
-
-        #self._draw_offsetText(renderer)
-        #self._draw_label(renderer)
-
-
-
-    @allow_rasterization
+    @martist.allow_rasterization
     def draw(self, renderer):
-        'Draw the axis lines, tick lines and labels'
-
-        if not self.get_visible(): return
-
-        renderer.open_group(__name__)
-
+        # docstring inherited
+        if not self.get_visible():
+            return
+        renderer.open_group(__name__, gid=self.get_gid())
         self._axis_artist_helper.update_lim(self.axes)
-
-        dpi_cor = renderer.points_to_pixels(1.)
-        self.dpi_transform.clear().scale(dpi_cor, dpi_cor)
-
-
         self._draw_ticks(renderer)
-
         self._draw_line(renderer)
-
-        #self._draw_offsetText(renderer)
         self._draw_label(renderer)
-
         renderer.close_group(__name__)
 
-    #def get_ticklabel_extents(self, renderer):
-    #    pass
-
     def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
         """
         Toggle visibility of ticks, ticklabels, and (axis) label.
@@ -1592,7 +1089,7 @@ def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
 
         To turn all on but (axis) label off ::
 
-          axis.toggle(all=True, label=False))
+          axis.toggle(all=True, label=False)
 
         """
         if all:
@@ -1617,81 +1114,3 @@ def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
             self.minor_ticklabels.set_visible(_ticklabels)
         if _label is not None:
             self.label.set_visible(_label)
-
-
-
-
-
-def test_axis_artist():
-    global axisline
-
-    #self._axislines[loc] = new_fixed_axis(loc=loc, axes=axes)
-    from mpl_toolkits.axisartist import AxisArtistHelperRectlinear
-    fig = plt.figure(1)
-    fig.clf()
-    ax=fig.add_subplot(111)
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-    if 1:
-
-        _helper = AxisArtistHelperRectlinear.Fixed(ax, loc="left")
-        axisline = AxisArtist(ax, _helper, offset=None, axis_direction="left")
-        ax.add_artist(axisline)
-        _helper = AxisArtistHelperRectlinear.Fixed(ax, loc="right")
-        axisline = AxisArtist(ax, _helper, offset=None, axis_direction="right")
-        ax.add_artist(axisline)
-
-    _helper = AxisArtistHelperRectlinear.Fixed(ax, loc="bottom")
-    axisline = AxisArtist(ax, _helper, offset=None, axis_direction="bottom")
-    axisline.set_label("TTT")
-    #axisline.label.set_visible(False)
-    ax.add_artist(axisline)
-
-    #axisline.major_ticklabels.set_axis_direction("bottom")
-    axisline.major_ticks.set_tick_out(False)
-
-    ax.set_ylabel("Test")
-
-    axisline.label.set_pad(5)
-
-
-    plt.draw()
-
-def test_axis_artist2():
-    global axisline
-
-    #self._axislines[loc] = new_fixed_axis(loc=loc, axes=axes)
-    from mpl_toolkits.axislines import AxisArtistHelperRectlinear
-    fig = plt.figure(1)
-    fig.clf()
-    ax=fig.add_subplot(111)
-    ax.xaxis.set_visible(False)
-    ax.yaxis.set_visible(False)
-
-
-    _helper = AxisArtistHelperRectlinear.Fixed(ax, loc="bottom")
-    axisline = AxisArtist(ax, _helper, offset=None, axis_direction="bottom")
-    axisline.set_label("TTT")
-    ax.add_artist(axisline)
-
-    #axisline.major_ticklabels.set_axis_direction("bottom")
-    axisline.major_ticks.set_tick_out(False)
-
-
-    ax.set_ylabel("Test")
-
-    plt.draw()
-
-if __name__ == "__main__":
-    #test_labelbase()
-    #test_ticklabels()
-    test_axis_artist()
-    #test_axis_artist2()
-
-
-# DONE
-# *. ticks, ticklabels, axislabels
-# *. workon axisartist
-
-# TODO
diff --git a/lib/mpl_toolkits/axisartist/axisline_style.py b/lib/mpl_toolkits/axisartist/axisline_style.py
index 876f5fe18985..ac89603e0844 100644
--- a/lib/mpl_toolkits/axisartist/axisline_style.py
+++ b/lib/mpl_toolkits/axisartist/axisline_style.py
@@ -1,18 +1,19 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+"""
+Provides classes to style the axis lines.
+"""
+import math
 
-import six
+import numpy as np
 
+import matplotlib as mpl
 from matplotlib.patches import _Style, FancyArrowPatch
-from matplotlib.transforms import IdentityTransform
 from matplotlib.path import Path
-import numpy as np
+from matplotlib.transforms import IdentityTransform
+
 
-class _FancyAxislineStyle(object):
+class _FancyAxislineStyle:
     class SimpleArrow(FancyArrowPatch):
-        """
-        The artist class that will be returned for SimpleArrow style.
-        """
+        """The artist class that will be returned for SimpleArrow style."""
         _ARROW_STYLE = "->"
 
         def __init__(self, axis_artist, line_path, transform,
@@ -25,7 +26,6 @@ def __init__(self, axis_artist, line_path, transform,
             FancyArrowPatch.__init__(self,
                                      path=self._line_path,
                                      arrowstyle=self._ARROW_STYLE,
-                                     arrow_transmuter=None,
                                      patchA=None,
                                      patchB=None,
                                      shrinkA=0.,
@@ -42,22 +42,15 @@ def _extend_path(self, path, mutation_size=10):
             """
             Extend the path to make a room for drawing arrow.
             """
-            from matplotlib.bezier import get_cos_sin
-
-            x0, y0 = path.vertices[-2]
-            x1, y1 = path.vertices[-1]
-            cost, sint = get_cos_sin(x0, y0, x1, y1)
-
-            d = mutation_size * 1.
-            x2, y2 = x1 + cost*d, y1+sint*d
-
+            (x0, y0), (x1, y1) = path.vertices[-2:]
+            theta = math.atan2(y1 - y0, x1 - x0)
+            x2 = x1 + math.cos(theta) * mutation_size
+            y2 = y1 + math.sin(theta) * mutation_size
             if path.codes is None:
-                _path = Path(np.concatenate([path.vertices, [[x2, y2]]]))
+                return Path(np.concatenate([path.vertices, [[x2, y2]]]))
             else:
-                _path = Path(np.concatenate([path.vertices, [[x2, y2]]]),
-                             np.concatenate([path.codes, [Path.LINETO]]))
-
-            return _path
+                return Path(np.concatenate([path.vertices, [[x2, y2]]]),
+                            np.concatenate([path.codes, [Path.LINETO]]))
 
         def set_path(self, path):
             self._line_path = path
@@ -65,38 +58,48 @@ def set_path(self, path):
         def draw(self, renderer):
             """
             Draw the axis line.
-             1) transform the path to the display coordinate.
-             2) extend the path to make a room for arrow
-             3) update the path of the FancyArrowPatch.
-             4) draw
+             1) Transform the path to the display coordinate.
+             2) Extend the path to make a room for arrow.
+             3) Update the path of the FancyArrowPatch.
+             4) Draw.
             """
             path_in_disp = self._line_transform.transform_path(self._line_path)
-            mutation_size = self.get_mutation_scale() #line_mutation_scale()
-            extented_path = self._extend_path(path_in_disp,
+            mutation_size = self.get_mutation_scale()  # line_mutation_scale()
+            extended_path = self._extend_path(path_in_disp,
                                               mutation_size=mutation_size)
-
-            self._path_original = extented_path
+            self._path_original = extended_path
             FancyArrowPatch.draw(self, renderer)
 
+        def get_window_extent(self, renderer=None):
+
+            path_in_disp = self._line_transform.transform_path(self._line_path)
+            mutation_size = self.get_mutation_scale()  # line_mutation_scale()
+            extended_path = self._extend_path(path_in_disp,
+                                              mutation_size=mutation_size)
+            self._path_original = extended_path
+            return FancyArrowPatch.get_window_extent(self, renderer)
+
     class FilledArrow(SimpleArrow):
-        """
-        The artist class that will be returned for SimpleArrow style.
-        """
+        """The artist class that will be returned for FilledArrow style."""
         _ARROW_STYLE = "-|>"
 
+        def __init__(self, axis_artist, line_path, transform,
+                     line_mutation_scale, facecolor):
+            super().__init__(axis_artist, line_path, transform,
+                             line_mutation_scale)
+            self.set_facecolor(facecolor)
+
 
 class AxislineStyle(_Style):
     """
-    :class:`AxislineStyle` is a container class which defines style classes
-    for AxisArtists.
+    A container class which defines style classes for AxisArtists.
 
-    An instance of any axisline style class is an callable object,
+    An instance of any axisline style class is a callable object,
     whose call signature is ::
 
        __call__(self, axis_artist, path, transform)
 
-    When called, this should return a mpl artist with following
-    methods implemented. ::
+    When called, this should return an `.Artist` with the following methods::
 
       def set_path(self, path):
           # set the path for axisline.
@@ -106,14 +109,11 @@ def set_line_mutation_scale(self, scale):
 
       def draw(self, renderer):
           # draw
-
-
     """
 
     _style_list = {}
 
-
-    class _Base(object):
+    class _Base:
         # The derived classes are required to be able to be initialized
         # w/o arguments, i.e., all its argument (except self) must have
         # the default values.
@@ -122,20 +122,15 @@ def __init__(self):
             """
             initialization.
             """
-            super(AxislineStyle._Base, self).__init__()
-
-
-
+            super().__init__()
 
         def __call__(self, axis_artist, transform):
             """
-            Given the AxisArtist instance, and transform for the path
-            (set_path method), return the mpl artist for drawing the axis line.
+            Given the AxisArtist instance, and transform for the path (set_path
+            method), return the Matplotlib artist for drawing the axis line.
             """
-
             return self.new_line(axis_artist, transform)
 
-
     class SimpleArrow(_Base):
         """
         A simple arrow.
@@ -145,24 +140,53 @@ class SimpleArrow(_Base):
 
         def __init__(self, size=1):
             """
-             *size*
-                size of the arrow as a fraction of the ticklabel size.
+            Parameters
+            ----------
+            size : float
+                Size of the arrow as a fraction of the ticklabel size.
             """
 
             self.size = size
-            super(AxislineStyle.SimpleArrow, self).__init__()
+            super().__init__()
 
         def new_line(self, axis_artist, transform):
 
-            linepath = Path([(0,0), (0, 1)])
+            linepath = Path([(0, 0), (0, 1)])
             axisline = self.ArrowAxisClass(axis_artist, linepath, transform,
                                            line_mutation_scale=self.size)
             return axisline
 
-
     _style_list["->"] = SimpleArrow
 
     class FilledArrow(SimpleArrow):
+        """
+        An arrow with a filled head.
+        """
+
         ArrowAxisClass = _FancyAxislineStyle.FilledArrow
 
+        def __init__(self, size=1, facecolor=None):
+            """
+            Parameters
+            ----------
+            size : float
+                Size of the arrow as a fraction of the ticklabel size.
+            facecolor : :mpltype:`color`, default: :rc:`axes.edgecolor`
+                Fill color.
+
+                .. versionadded:: 3.7
+            """
+
+            facecolor = mpl._val_or_rc(facecolor, 'axes.edgecolor')
+            self.size = size
+            self._facecolor = facecolor
+            super().__init__(size=size)
+
+        def new_line(self, axis_artist, transform):
+            linepath = Path([(0, 0), (0, 1)])
+            axisline = self.ArrowAxisClass(axis_artist, linepath, transform,
+                                           line_mutation_scale=self.size,
+                                           facecolor=self._facecolor)
+            return axisline
+
     _style_list["-|>"] = FilledArrow
diff --git a/lib/mpl_toolkits/axisartist/axislines.py b/lib/mpl_toolkits/axisartist/axislines.py
index 5b9ff70cd1bf..c921ea597cb4 100644
--- a/lib/mpl_toolkits/axisartist/axislines.py
+++ b/lib/mpl_toolkits/axisartist/axislines.py
@@ -1,19 +1,17 @@
 """
 Axislines includes modified implementation of the Axes class. The
-biggest difference is that the artists responsible to draw axis line,
-ticks, ticklabel and axis labels are separated out from the mpl's Axis
-class, which are much more than artists in the original
-mpl. Originally, this change was motivated to support curvilinear
-grid. Here are a few reasons that I came up with new axes class.
+biggest difference is that the artists responsible for drawing the axis spine,
+ticks, ticklabels and axis labels are separated out from Matplotlib's Axis
+class. Originally, this change was motivated to support curvilinear
+grid. Here are a few reasons that I came up with a new axes class:
 
+* "top" and "bottom" x-axis (or "left" and "right" y-axis) can have
+  different ticks (tick locations and labels). This is not possible
+  with the current Matplotlib, although some twin axes trick can help.
 
- * "top" and "bottom" x-axis (or "left" and "right" y-axis) can have
-   different ticks (tick locations and labels). This is not possible
-   with the current mpl, although some twin axes trick can help.
+* Curvilinear grid.
 
- * Curvilinear grid.
-
- * angled ticks.
+* angled ticks.
 
 In the new axes class, xaxis and yaxis is set to not visible by
 default, and new set of artist (AxisArtist) are defined to draw axis
@@ -22,874 +20,455 @@
 instance responsible to draw left y-axis. The default Axes.axis contains
 "bottom", "left", "top" and "right".
 
-AxisArtist can be considered as a container artist and
-has following children artists which will draw ticks, labels, etc.
+AxisArtist can be considered as a container artist and has the following
+children artists which will draw ticks, labels, etc.
 
- * line
- * major_ticks, major_ticklabels
- * minor_ticks, minor_ticklabels
- * offsetText
- * label
+* line
+* major_ticks, major_ticklabels
+* minor_ticks, minor_ticklabels
+* offsetText
+* label
 
-Note that these are separate artists from Axis class of the
-original mpl, thus most of tick-related command in the original mpl
-won't work, although some effort has made to work with. For example,
-color and markerwidth of the ax.axis["bottom"].major_ticks will follow
-those of Axes.xaxis unless explicitly specified.
+Note that these are separate artists from `matplotlib.axis.Axis`, thus most
+tick-related functions in Matplotlib won't work. For example, color and
+markerwidth of the ``ax.axis["bottom"].major_ticks`` will follow those of
+Axes.xaxis unless explicitly specified.
 
 In addition to AxisArtist, the Axes will have *gridlines* attribute,
 which obviously draws grid lines. The gridlines needs to be separated
 from the axis as some gridlines can never pass any axis.
-
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
+import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _api
 import matplotlib.axes as maxes
-import matplotlib.artist as martist
-import matplotlib.text as mtext
-import matplotlib.font_manager as font_manager
-
 from matplotlib.path import Path
-from matplotlib.transforms import Affine2D, ScaledTranslation, \
-     IdentityTransform, TransformedPath, Bbox
-from matplotlib.collections import LineCollection
-
-from matplotlib import rcParams
-
-from matplotlib.artist import allow_rasterization
-
-import warnings
-
-import numpy as np
-
-
-import matplotlib.lines as mlines
-from .axisline_style import AxislineStyle
-
+from matplotlib.transforms import Bbox
 
+from mpl_toolkits.axes_grid1 import mpl_axes
+from .axisline_style import AxislineStyle  # noqa
 from .axis_artist import AxisArtist, GridlinesCollection
 
-class AxisArtistHelper(object):
+
+class _AxisArtistHelperBase:
     """
-    AxisArtistHelper should define
-    following method with given APIs. Note that the first axes argument
-    will be axes attribute of the caller artist.
+    Base class for axis helper.
 
+    Subclasses should define the methods listed below.  The *axes*
+    argument will be the ``.axes`` attribute of the caller artist. ::
 
-        # LINE (spinal line?)
-
-        def get_line(self, axes):
-            # path : Path
-            return path
+        # Construct the spine.
 
         def get_line_transform(self, axes):
-            # ...
-            # trans : transform
-            return trans
-
-        # LABEL
-
-        def get_label_pos(self, axes):
-            # x, y : position
-            return (x, y), trans
-
-
-        def get_label_offset_transform(self, \
-                axes,
-                pad_points, fontprops, renderer,
-                bboxes,
-                ):
-            # va : vertical alignment
-            # ha : horizontal alignment
-            # a : angle
-            return trans, va, ha, a
-
-        # TICK
-
-        def get_tick_transform(self, axes):
-            return trans
-
-        def get_tick_iterators(self, axes):
-            # iter : iterable object that yields (c, angle, l) where
-            # c, angle, l is position, tick angle, and label
-
-            return iter_major, iter_minor
-
-
-        """
-
-    class _Base(object):
-        """
-        Base class for axis helper.
-        """
-        def __init__(self):
-            """
-            """
-            self.delta1, self.delta2 = 0.00001, 0.00001
-
-        def update_lim(self, axes):
-            pass
-
-
-    class Fixed(_Base):
-        """
-        Helper class for a fixed (in the axes coordinate) axis.
-        """
-
-        _default_passthru_pt = dict(left=(0, 0),
-                                    right=(1, 0),
-                                    bottom=(0, 0),
-                                    top=(0, 1))
-
-        def __init__(self,
-                     loc, nth_coord=None,
-                     ):
-            """
-            nth_coord = along which coordinate value varies
-            in 2d, nth_coord = 0 ->  x axis, nth_coord = 1 -> y axis
-            """
-
-            self._loc = loc
-
-            if loc not in ["left", "right", "bottom", "top"]:
-                raise ValueError("%s" % loc)
-
-            if nth_coord is None:
-                if loc in ["left", "right"]:
-                    nth_coord = 1
-                elif loc in ["bottom", "top"]:
-                    nth_coord = 0
-
-            self.nth_coord = nth_coord
-
-            super(AxisArtistHelper.Fixed, self).__init__()
-
-            self.passthru_pt = self._default_passthru_pt[loc]
-
-
-
-            _verts = np.array([[0., 0.],
-                               [1., 1.]])
-            fixed_coord = 1-nth_coord
-            _verts[:,fixed_coord] = self.passthru_pt[fixed_coord]
-
-            # axis line in transAxes
-            self._path = Path(_verts)
-
-
-        def get_nth_coord(self):
-            return self.nth_coord
-
-        # LINE
+            return transform
 
         def get_line(self, axes):
-            return self._path
-
-        def get_line_transform(self, axes):
-            return axes.transAxes
+            return path
 
-        # LABEL
+        # Construct the label.
 
         def get_axislabel_transform(self, axes):
-            return axes.transAxes
+            return transform
 
         def get_axislabel_pos_angle(self, axes):
-            """
-            label reference position in transAxes.
-
-            get_label_transform() returns a transform of (transAxes+offset)
-            """
-            loc = self._loc
-            pos, angle_tangent = dict(left=((0., 0.5), 90),
-                                      right=((1., 0.5), 90),
-                                      bottom=((0.5, 0.), 0),
-                                      top=((0.5, 1.), 0))[loc]
-
-            return pos, angle_tangent
+            return (x, y), angle
 
-
-
-        # TICK
+        # Construct the ticks.
 
         def get_tick_transform(self, axes):
-            trans_tick = [axes.get_xaxis_transform(),
-                          axes.get_yaxis_transform()][self.nth_coord]
-
-            return trans_tick
-
-
-    class Floating(_Base):
-        def __init__(self, nth_coord,
-                     value):
-
-            self.nth_coord = nth_coord
-
-            self._value = value
-
-            super(AxisArtistHelper.Floating,
-                  self).__init__()
-
-
-        def get_nth_coord(self):
-            return self.nth_coord
-
-        def get_line(self, axes):
-            raise RuntimeError("get_line method should be defined by the derived class")
-
+            return transform
 
+        def get_tick_iterators(self, axes):
+            # A pair of iterables (one for major ticks, one for minor ticks)
+            # that yield (tick_position, tick_angle, tick_label).
+            return iter_major, iter_minor
+    """
 
+    def __init__(self, nth_coord):
+        self.nth_coord = nth_coord
 
-class AxisArtistHelperRectlinear(object):
+    def update_lim(self, axes):
+        pass
 
-    class Fixed(AxisArtistHelper.Fixed):
+    def get_nth_coord(self):
+        return self.nth_coord
 
-        def __init__(self,
-                     axes, loc, nth_coord=None,
-                     ):
-            """
-            nth_coord = along which coordinate value varies
-            in 2d, nth_coord = 0 ->  x axis, nth_coord = 1 -> y axis
-            """
+    def _to_xy(self, values, const):
+        """
+        Create a (*values.shape, 2)-shape array representing (x, y) pairs.
 
-            super(AxisArtistHelperRectlinear.Fixed, self).__init__( \
-                     loc, nth_coord)
+        The other coordinate is filled with the constant *const*.
 
-            self.axis = [axes.xaxis, axes.yaxis][self.nth_coord]
+        Example::
 
+            >>> self.nth_coord = 0
+            >>> self._to_xy([1, 2, 3], const=0)
+            array([[1, 0],
+                   [2, 0],
+                   [3, 0]])
+        """
+        if self.nth_coord == 0:
+            return np.stack(np.broadcast_arrays(values, const), axis=-1)
+        elif self.nth_coord == 1:
+            return np.stack(np.broadcast_arrays(const, values), axis=-1)
+        else:
+            raise ValueError("Unexpected nth_coord")
 
 
-        # TICK
+class _FixedAxisArtistHelperBase(_AxisArtistHelperBase):
+    """Helper class for a fixed (in the axes coordinate) axis."""
 
-        def get_tick_iterators(self, axes):
-            """tick_loc, tick_angle, tick_label"""
+    def __init__(self, loc):
+        """``nth_coord = 0``: x-axis; ``nth_coord = 1``: y-axis."""
+        super().__init__(_api.check_getitem(
+            {"bottom": 0, "top": 0, "left": 1, "right": 1}, loc=loc))
+        self._loc = loc
+        self._pos = {"bottom": 0, "top": 1, "left": 0, "right": 1}[loc]
+        # axis line in transAxes
+        self._path = Path(self._to_xy((0, 1), const=self._pos))
 
-            loc = self._loc
+    # LINE
 
-            if loc in ["bottom", "top"]:
-                angle_normal, angle_tangent = 90, 0
-            else:
-                angle_normal, angle_tangent = 0, 90
+    def get_line(self, axes):
+        return self._path
 
-            major = self.axis.major
-            majorLocs = major.locator()
-            major.formatter.set_locs(majorLocs)
-            majorLabels = [major.formatter(val, i) for i, val in enumerate(majorLocs)]
+    def get_line_transform(self, axes):
+        return axes.transAxes
 
-            minor = self.axis.minor
-            minorLocs = minor.locator()
-            minor.formatter.set_locs(minorLocs)
-            minorLabels = [minor.formatter(val, i) for i, val in enumerate(minorLocs)]
+    # LABEL
 
-            trans_tick = self.get_tick_transform(axes)
+    def get_axislabel_transform(self, axes):
+        return axes.transAxes
 
-            tr2ax = trans_tick + axes.transAxes.inverted()
+    def get_axislabel_pos_angle(self, axes):
+        """
+        Return the label reference position in transAxes.
 
-            def _f(locs, labels):
-                for x, l in zip(locs, labels):
+        get_label_transform() returns a transform of (transAxes+offset)
+        """
+        return dict(left=((0., 0.5), 90),  # (position, angle_tangent)
+                    right=((1., 0.5), 90),
+                    bottom=((0.5, 0.), 0),
+                    top=((0.5, 1.), 0))[self._loc]
 
-                    c = list(self.passthru_pt) # copy
-                    c[self.nth_coord] = x
+    # TICK
 
-                    # check if the tick point is inside axes
-                    c2 = tr2ax.transform_point(c)
-                    #delta=0.00001
-                    if 0. -self.delta1<= c2[self.nth_coord] <= 1.+self.delta2:
-                        yield c, angle_normal, angle_tangent, l
+    def get_tick_transform(self, axes):
+        return [axes.get_xaxis_transform(), axes.get_yaxis_transform()][self.nth_coord]
 
-            return _f(majorLocs, majorLabels), _f(minorLocs, minorLabels)
 
+class _FloatingAxisArtistHelperBase(_AxisArtistHelperBase):
+    def __init__(self, nth_coord, value):
+        self._value = value
+        super().__init__(nth_coord)
 
+    def get_line(self, axes):
+        raise RuntimeError("get_line method should be defined by the derived class")
 
-    class Floating(AxisArtistHelper.Floating):
-        def __init__(self, axes, nth_coord,
-                     passingthrough_point, axis_direction="bottom"):
 
-            super(AxisArtistHelperRectlinear.Floating, self).__init__( \
-                nth_coord, passingthrough_point)
-            self._axis_direction = axis_direction
+class FixedAxisArtistHelperRectilinear(_FixedAxisArtistHelperBase):
 
-            self.axis = [axes.xaxis, axes.yaxis][self.nth_coord]
+    def __init__(self, axes, loc):
+        super().__init__(loc)
+        self.axis = [axes.xaxis, axes.yaxis][self.nth_coord]
 
+    # TICK
 
-        def get_line(self, axes):
-            _verts = np.array([[0., 0.],
-                               [1., 1.]])
+    def get_tick_iterators(self, axes):
+        """tick_loc, tick_angle, tick_label"""
+        angle_normal, angle_tangent = {0: (90, 0), 1: (0, 90)}[self.nth_coord]
 
-            fixed_coord = 1-self.nth_coord
-            trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-            p = trans_passingthrough_point.transform_point([self._value,
-                                                            self._value])
-            _verts[:,fixed_coord] = p[fixed_coord]
+        major = self.axis.major
+        major_locs = major.locator()
+        major_labels = major.formatter.format_ticks(major_locs)
 
-            return Path(_verts)
+        minor = self.axis.minor
+        minor_locs = minor.locator()
+        minor_labels = minor.formatter.format_ticks(minor_locs)
 
-        def get_line_transform(self, axes):
-            return axes.transAxes
+        tick_to_axes = self.get_tick_transform(axes) - axes.transAxes
 
-        def get_axislabel_transform(self, axes):
-            return axes.transAxes
+        def _f(locs, labels):
+            for loc, label in zip(locs, labels):
+                c = self._to_xy(loc, const=self._pos)
+                # check if the tick point is inside axes
+                c2 = tick_to_axes.transform(c)
+                if mpl.transforms._interval_contains_close((0, 1), c2[self.nth_coord]):
+                    yield c, angle_normal, angle_tangent, label
 
-        def get_axislabel_pos_angle(self, axes):
-            """
-            label reference position in transAxes.
+        return _f(major_locs, major_labels), _f(minor_locs, minor_labels)
 
-            get_label_transform() returns a transform of (transAxes+offset)
-            """
-            loc = self._axis_direction
-            #angle = dict(left=0,
-            #             right=0,
-            #             bottom=.5*np.pi,
-            #             top=.5*np.pi)[loc]
 
-            if self.nth_coord == 0:
-                angle = 0
-            else:
-                angle = 90
+class FloatingAxisArtistHelperRectilinear(_FloatingAxisArtistHelperBase):
 
-            _verts = [0.5, 0.5]
+    def __init__(self, axes, nth_coord,
+                 passingthrough_point, axis_direction="bottom"):
+        super().__init__(nth_coord, passingthrough_point)
+        self._axis_direction = axis_direction
+        self.axis = [axes.xaxis, axes.yaxis][self.nth_coord]
 
-            fixed_coord = 1-self.nth_coord
-            trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-            p = trans_passingthrough_point.transform_point([self._value,
-                                                            self._value])
-            _verts[fixed_coord] = p[fixed_coord]
-            if not (0. <= _verts[fixed_coord] <= 1.):
-                return None, None
-            else:
-                return _verts, angle
+    def get_line(self, axes):
+        fixed_coord = 1 - self.nth_coord
+        data_to_axes = axes.transData - axes.transAxes
+        p = data_to_axes.transform([self._value, self._value])
+        return Path(self._to_xy((0, 1), const=p[fixed_coord]))
 
+    def get_line_transform(self, axes):
+        return axes.transAxes
 
+    def get_axislabel_transform(self, axes):
+        return axes.transAxes
 
-        def get_tick_transform(self, axes):
-            return axes.transData
-
-
-        def get_tick_iterators(self, axes):
-            """tick_loc, tick_angle, tick_label"""
-
-            loc = self._axis_direction
+    def get_axislabel_pos_angle(self, axes):
+        """
+        Return the label reference position in transAxes.
 
-            if loc in ["bottom", "top"]:
-                angle_normal, angle_tangent = 90, 0
-            else:
-                angle_normal, angle_tangent = 0, 90
+        get_label_transform() returns a transform of (transAxes+offset)
+        """
+        angle = [0, 90][self.nth_coord]
+        fixed_coord = 1 - self.nth_coord
+        data_to_axes = axes.transData - axes.transAxes
+        p = data_to_axes.transform([self._value, self._value])
+        verts = self._to_xy(0.5, const=p[fixed_coord])
+        return (verts, angle) if 0 <= verts[fixed_coord] <= 1 else (None, None)
 
-            if self.nth_coord == 0:
-                angle_normal, angle_tangent = 90, 0
-            else:
-                angle_normal, angle_tangent = 0, 90
+    def get_tick_transform(self, axes):
+        return axes.transData
 
-            #angle = 90 - 90 * self.nth_coord
+    def get_tick_iterators(self, axes):
+        """tick_loc, tick_angle, tick_label"""
+        angle_normal, angle_tangent = {0: (90, 0), 1: (0, 90)}[self.nth_coord]
 
-            major = self.axis.major
-            majorLocs = major.locator()
-            major.formatter.set_locs(majorLocs)
-            majorLabels = [major.formatter(val, i) for i, val in enumerate(majorLocs)]
+        major = self.axis.major
+        major_locs = major.locator()
+        major_labels = major.formatter.format_ticks(major_locs)
 
-            minor = self.axis.minor
-            minorLocs = minor.locator()
-            minor.formatter.set_locs(minorLocs)
-            minorLabels = [minor.formatter(val, i) for i, val in enumerate(minorLocs)]
+        minor = self.axis.minor
+        minor_locs = minor.locator()
+        minor_labels = minor.formatter.format_ticks(minor_locs)
 
-            tr2ax = axes.transData + axes.transAxes.inverted()
+        data_to_axes = axes.transData - axes.transAxes
 
-            def _f(locs, labels):
-                for x, l in zip(locs, labels):
+        def _f(locs, labels):
+            for loc, label in zip(locs, labels):
+                c = self._to_xy(loc, const=self._value)
+                c1, c2 = data_to_axes.transform(c)
+                if 0 <= c1 <= 1 and 0 <= c2 <= 1:
+                    yield c, angle_normal, angle_tangent, label
 
-                    c = [self._value, self._value]
-                    c[self.nth_coord] = x
-                    c1, c2 = tr2ax.transform_point(c)
-                    if 0. <= c1 <= 1. and 0. <= c2 <= 1.:
-                        if 0. - self.delta1 <= [c1, c2][self.nth_coord] <= 1. + self.delta2:
-                            yield c, angle_normal, angle_tangent, l
+        return _f(major_locs, major_labels), _f(minor_locs, minor_labels)
 
-            return _f(majorLocs, majorLabels), _f(minorLocs, minorLabels)
 
+class AxisArtistHelper:  # Backcompat.
+    Fixed = _FixedAxisArtistHelperBase
+    Floating = _FloatingAxisArtistHelperBase
 
 
+class AxisArtistHelperRectlinear:  # Backcompat.
+    Fixed = FixedAxisArtistHelperRectilinear
+    Floating = FloatingAxisArtistHelperRectilinear
 
 
-class GridHelperBase(object):
+class GridHelperBase:
 
     def __init__(self):
-        self._force_update = True
         self._old_limits = None
-        super(GridHelperBase, self).__init__()
-
+        super().__init__()
 
     def update_lim(self, axes):
         x1, x2 = axes.get_xlim()
         y1, y2 = axes.get_ylim()
-
-        if self._force_update or self._old_limits != (x1, x2, y1, y2):
-            self._update(x1, x2, y1, y2)
-            self._force_update = False
+        if self._old_limits != (x1, x2, y1, y2):
+            self._update_grid(Bbox.from_extents(x1, y1, x2, y2))
             self._old_limits = (x1, x2, y1, y2)
 
-
-    def _update(self, x1, x2, y1, y2):
-        pass
-
-
-    def invalidate(self):
-        self._force_update = True
-
-    def valid(self):
-        return not self._force_update
-
+    def _update_grid(self, bbox):
+        """Cache relevant computations when the axes limits have changed."""
 
     def get_gridlines(self, which, axis):
         """
         Return list of grid lines as a list of paths (list of points).
 
-        *which* : "major" or "minor"
-        *axis* : "both", "x" or "y"
+        Parameters
+        ----------
+        which : {"both", "major", "minor"}
+        axis : {"both", "x", "y"}
         """
         return []
 
-    def new_gridlines(self, ax):
-        """
-        Create and return a new GridlineCollection instance.
-
-        *which* : "major" or "minor"
-        *axis* : "both", "x" or "y"
-
-        """
-        gridlines = GridlinesCollection(None, transform=ax.transData,
-                                        colors=rcParams['grid.color'],
-                                        linestyles=rcParams['grid.linestyle'],
-                                        linewidths=rcParams['grid.linewidth'])
-        ax._set_artist_props(gridlines)
-        gridlines.set_grid_helper(self)
-
-        ax.axes._set_artist_props(gridlines)
-        # gridlines.set_clip_path(self.axes.patch)
-        # set_clip_path need to be deferred after Axes.cla is completed.
-        # It is done inside the cla.
-
-        return gridlines
-
 
 class GridHelperRectlinear(GridHelperBase):
 
-
     def __init__(self, axes):
-
-        super(GridHelperRectlinear, self).__init__()
+        super().__init__()
         self.axes = axes
 
-
-
-    def new_fixed_axis(self, loc,
-                       nth_coord=None,
-                       axis_direction=None,
-                       offset=None,
-                       axes=None,
-                       ):
-
+    def new_fixed_axis(
+        self, loc, *, axis_direction=None, offset=None, axes=None
+    ):
         if axes is None:
-            warnings.warn("'new_fixed_axis' explicitly requires the axes keyword.")
+            _api.warn_external(
+                "'new_fixed_axis' explicitly requires the axes keyword.")
             axes = self.axes
-
-        _helper = AxisArtistHelperRectlinear.Fixed(axes, loc, nth_coord)
-
         if axis_direction is None:
             axis_direction = loc
-        axisline = AxisArtist(axes, _helper, offset=offset,
-                              axis_direction=axis_direction,
-                              )
-
-        return axisline
-
-
-    def new_floating_axis(self, nth_coord, value,
-                          axis_direction="bottom",
-                          axes=None,
-                          ):
+        return AxisArtist(axes, FixedAxisArtistHelperRectilinear(axes, loc),
+                          offset=offset, axis_direction=axis_direction)
 
+    def new_floating_axis(self, nth_coord, value, axis_direction="bottom", axes=None):
         if axes is None:
-            warnings.warn("'new_floating_axis' explicitly requires the axes keyword.")
+            _api.warn_external(
+                "'new_floating_axis' explicitly requires the axes keyword.")
             axes = self.axes
-
-        passthrough_point = (value, value)
-        transform = axes.transData
-
-        _helper = AxisArtistHelperRectlinear.Floating( \
+        helper = FloatingAxisArtistHelperRectilinear(
             axes, nth_coord, value, axis_direction)
-
-        axisline = AxisArtist(axes, _helper)
-
+        axisline = AxisArtist(axes, helper, axis_direction=axis_direction)
         axisline.line.set_clip_on(True)
         axisline.line.set_clip_box(axisline.axes.bbox)
         return axisline
 
-
     def get_gridlines(self, which="major", axis="both"):
         """
-        return list of gridline coordinates in data coordinates.
+        Return list of gridline coordinates in data coordinates.
 
-        *which* : "major" or "minor"
-        *axis* : "both", "x" or "y"
+        Parameters
+        ----------
+        which : {"both", "major", "minor"}
+        axis : {"both", "x", "y"}
         """
-
+        _api.check_in_list(["both", "major", "minor"], which=which)
+        _api.check_in_list(["both", "x", "y"], axis=axis)
         gridlines = []
 
-
-        if axis in ["both", "x"]:
+        if axis in ("both", "x"):
             locs = []
             y1, y2 = self.axes.get_ylim()
-            #if self.axes.xaxis._gridOnMajor:
-            if which in ["both", "major"]:
+            if which in ("both", "major"):
                 locs.extend(self.axes.xaxis.major.locator())
-            #if self.axes.xaxis._gridOnMinor:
-            if which in ["both", "minor"]:
+            if which in ("both", "minor"):
                 locs.extend(self.axes.xaxis.minor.locator())
+            gridlines.extend([[x, x], [y1, y2]] for x in locs)
 
-            for x in locs:
-                gridlines.append([[x, x], [y1, y2]])
-
-
-        if axis in ["both", "y"]:
+        if axis in ("both", "y"):
             x1, x2 = self.axes.get_xlim()
             locs = []
-            if self.axes.yaxis._gridOnMajor:
-            #if which in ["both", "major"]:
+            if self.axes.yaxis._major_tick_kw["gridOn"]:
                 locs.extend(self.axes.yaxis.major.locator())
-            if self.axes.yaxis._gridOnMinor:
-            #if which in ["both", "minor"]:
+            if self.axes.yaxis._minor_tick_kw["gridOn"]:
                 locs.extend(self.axes.yaxis.minor.locator())
-
-            for y in locs:
-                gridlines.append([[x1, x2], [y, y]])
+            gridlines.extend([[x1, x2], [y, y]] for y in locs)
 
         return gridlines
 
 
-
-
-
-
-class SimpleChainedObjects(object):
-    def __init__(self, objects):
-        self._objects = objects
-
-    def __getattr__(self, k):
-        _a = SimpleChainedObjects([getattr(a, k) for a in self._objects])
-        return _a
-
-    def __call__(self, *kl, **kwargs):
-        for m in self._objects:
-            m(*kl, **kwargs)
-
-
 class Axes(maxes.Axes):
 
-    class AxisDict(dict):
-        def __init__(self, axes):
-            self.axes = axes
-            super(Axes.AxisDict, self).__init__()
-
-        def __getitem__(self, k):
-            if isinstance(k, tuple):
-                r = SimpleChainedObjects([dict.__getitem__(self, k1) for k1 in k])
-                return r
-            elif isinstance(k, slice):
-                if k.start == None and k.stop == None and k.step == None:
-                    r = SimpleChainedObjects(list(six.itervalues(self)))
-                    return r
-                else:
-                    raise ValueError("Unsupported slice")
-            else:
-                return dict.__getitem__(self, k)
-
-        def __call__(self, *v, **kwargs):
-            return maxes.Axes.axis(self.axes, *v, **kwargs)
-
-
-    def __init__(self, *kl, **kw):
-
-
-        helper = kw.pop("grid_helper", None)
-
+    def __init__(self, *args, grid_helper=None, **kwargs):
         self._axisline_on = True
-
-        if helper:
-            self._grid_helper = helper
-        else:
-            self._grid_helper = GridHelperRectlinear(self)
-
-        super(Axes, self).__init__(*kl, **kw)
-
+        self._grid_helper = grid_helper if grid_helper else GridHelperRectlinear(self)
+        super().__init__(*args, **kwargs)
         self.toggle_axisline(True)
 
-
     def toggle_axisline(self, b=None):
         if b is None:
             b = not self._axisline_on
         if b:
             self._axisline_on = True
-            for s in self.spines.values():
-                s.set_visible(False)
+            self.spines[:].set_visible(False)
             self.xaxis.set_visible(False)
             self.yaxis.set_visible(False)
         else:
             self._axisline_on = False
-            for s in self.spines.values():
-                s.set_visible(True)
+            self.spines[:].set_visible(True)
             self.xaxis.set_visible(True)
             self.yaxis.set_visible(True)
 
+    @property
+    def axis(self):
+        return self._axislines
 
-    def _init_axis(self):
-        super(Axes, self)._init_axis()
+    def clear(self):
+        # docstring inherited
 
+        # Init gridlines before clear() as clear() calls grid().
+        self.gridlines = gridlines = GridlinesCollection(
+            [],
+            colors=mpl.rcParams['grid.color'],
+            linestyles=mpl.rcParams['grid.linestyle'],
+            linewidths=mpl.rcParams['grid.linewidth'])
+        self._set_artist_props(gridlines)
+        gridlines.set_grid_helper(self.get_grid_helper())
 
-    def _init_axis_artists(self, axes=None):
-        if axes is None:
-            axes = self
+        super().clear()
 
-        self._axislines = self.AxisDict(self)
-        new_fixed_axis = self.get_grid_helper().new_fixed_axis
-        for loc in ["bottom", "top", "left", "right"]:
-            self._axislines[loc] = new_fixed_axis(loc=loc, axes=axes,
-                                                  axis_direction=loc)
+        # clip_path is set after Axes.clear(): that's when a patch is created.
+        gridlines.set_clip_path(self.axes.patch)
 
+        # Init axis artists.
+        self._axislines = mpl_axes.Axes.AxisDict(self)
+        new_fixed_axis = self.get_grid_helper().new_fixed_axis
+        self._axislines.update({
+            loc: new_fixed_axis(loc=loc, axes=self, axis_direction=loc)
+            for loc in ["bottom", "top", "left", "right"]})
         for axisline in [self._axislines["top"], self._axislines["right"]]:
             axisline.label.set_visible(False)
             axisline.major_ticklabels.set_visible(False)
             axisline.minor_ticklabels.set_visible(False)
 
-    def _get_axislines(self):
-        return self._axislines
-
-    axis = property(_get_axislines)
-
-    def new_gridlines(self, grid_helper=None):
-        """
-        Create and return a new GridlineCollection instance.
-
-        *which* : "major" or "minor"
-        *axis* : "both", "x" or "y"
-
-        """
-        if grid_helper is None:
-            grid_helper = self.get_grid_helper()
-
-        gridlines = grid_helper.new_gridlines(self)
-
-        return gridlines
-
-
-    def _init_gridlines(self, grid_helper=None):
-        # It is done inside the cla.
-        gridlines = self.new_gridlines(grid_helper)
-
-        self.gridlines = gridlines
-
-    def cla(self):
-        # gridlines need to b created before cla() since cla calls grid()
-
-        self._init_gridlines()
-        super(Axes, self).cla()
-
-        # the clip_path should be set after Axes.cla() since that's
-        # when a patch is created.
-        self.gridlines.set_clip_path(self.axes.patch)
-
-        self._init_axis_artists()
-
     def get_grid_helper(self):
         return self._grid_helper
 
-
-    def grid(self, b=None, which='major', axis="both", **kwargs):
+    def grid(self, visible=None, which='major', axis="both", **kwargs):
         """
         Toggle the gridlines, and optionally set the properties of the lines.
         """
-        # their are some discrepancy between the behavior of grid in
-        # axes_grid and the original mpl's grid, because axes_grid
-        # explicitly set the visibility of the gridlines.
-
-        super(Axes, self).grid(b, which=which, axis=axis, **kwargs)
+        # There are some discrepancies in the behavior of grid() between
+        # axes_grid and Matplotlib, because axes_grid explicitly sets the
+        # visibility of the gridlines.
+        super().grid(visible, which=which, axis=axis, **kwargs)
         if not self._axisline_on:
             return
-
-        if b is None:
-
-            if self.axes.xaxis._gridOnMinor or self.axes.xaxis._gridOnMajor or \
-                   self.axes.yaxis._gridOnMinor or self.axes.yaxis._gridOnMajor:
-                b=True
-            else:
-                b=False
-
-        self.gridlines.set_which(which)
-        self.gridlines.set_axis(axis)
-        self.gridlines.set_visible(b)
-
-        if len(kwargs):
-            martist.setp(self.gridlines, **kwargs)
+        if visible is None:
+            visible = (self.axes.xaxis._minor_tick_kw["gridOn"]
+                       or self.axes.xaxis._major_tick_kw["gridOn"]
+                       or self.axes.yaxis._minor_tick_kw["gridOn"]
+                       or self.axes.yaxis._major_tick_kw["gridOn"])
+        self.gridlines.set(which=which, axis=axis, visible=visible)
+        self.gridlines.set(**kwargs)
 
     def get_children(self):
         if self._axisline_on:
-            children = list(six.itervalues(self._axislines)) + [self.gridlines]
+            children = [*self._axislines.values(), self.gridlines]
         else:
             children = []
-        children.extend(super(Axes, self).get_children())
+        children.extend(super().get_children())
         return children
 
-    def invalidate_grid_helper(self):
-        self._grid_helper.invalidate()
-
-
     def new_fixed_axis(self, loc, offset=None):
-        gh = self.get_grid_helper()
-        axis = gh.new_fixed_axis(loc,
-                                 nth_coord=None,
-                                 axis_direction=None,
-                                 offset=offset,
-                                 axes=self,
-                                 )
-        return axis
-
-
-    def new_floating_axis(self, nth_coord, value,
-                          axis_direction="bottom",
-                          ):
-        gh = self.get_grid_helper()
-        axis = gh.new_floating_axis(nth_coord, value,
-                                    axis_direction=axis_direction,
-                                    axes=self)
-        return axis
-
-
-
-    def draw(self, renderer, inframe=False):
-
-        if not self._axisline_on:
-            super(Axes, self).draw(renderer, inframe)
-            return
-
-        orig_artists = self.artists
-        self.artists = self.artists + list(self._axislines.values()) + [self.gridlines]
-
-        super(Axes, self).draw(renderer, inframe)
-
-        self.artists = orig_artists
-
-
-    def get_tightbbox(self, renderer, call_axes_locator=True):
-
-        bb0 = super(Axes, self).get_tightbbox(renderer, call_axes_locator)
-
-        if not self._axisline_on:
-            return bb0
-
-        bb = [bb0]
-
-        for axisline in list(six.itervalues(self._axislines)):
-            if not axisline.get_visible():
-                continue
-
-            bb.append(axisline.get_tightbbox(renderer))
-            # if axisline.label.get_visible():
-            #     bb.append(axisline.label.get_window_extent(renderer))
-
-
-            # if axisline.major_ticklabels.get_visible():
-            #     bb.extend(axisline.major_ticklabels.get_window_extents(renderer))
-            # if axisline.minor_ticklabels.get_visible():
-            #     bb.extend(axisline.minor_ticklabels.get_window_extents(renderer))
-            # if axisline.major_ticklabels.get_visible() or \
-            #    axisline.minor_ticklabels.get_visible():
-            #     bb.append(axisline.offsetText.get_window_extent(renderer))
+        return self.get_grid_helper().new_fixed_axis(loc, offset=offset, axes=self)
 
-        #bb.extend([c.get_window_extent(renderer) for c in artists \
-        #           if c.get_visible()])
+    def new_floating_axis(self, nth_coord, value, axis_direction="bottom"):
+        return self.get_grid_helper().new_floating_axis(
+            nth_coord, value, axis_direction=axis_direction, axes=self)
 
-        _bbox = Bbox.union([b for b in bb if b and (b.width!=0 or b.height!=0)])
-
-        return _bbox
-
-
-
-
-Subplot = maxes.subplot_class_factory(Axes)
 
 class AxesZero(Axes):
-    def __init__(self, *kl, **kw):
-
-        super(AxesZero, self).__init__(*kl, **kw)
-
-
-    def _init_axis_artists(self):
-        super(AxesZero, self)._init_axis_artists()
-
-        new_floating_axis = self._grid_helper.new_floating_axis
-        xaxis_zero = new_floating_axis(nth_coord=0,
-                                       value=0.,
-                                       axis_direction="bottom",
-                                       axes=self)
-
-        xaxis_zero.line.set_clip_path(self.patch)
-        xaxis_zero.set_visible(False)
-        self._axislines["xzero"] = xaxis_zero
-
-        yaxis_zero = new_floating_axis(nth_coord=1,
-                                       value=0.,
-                                       axis_direction="left",
-                                       axes=self)
-
-
-        yaxis_zero.line.set_clip_path(self.patch)
-        yaxis_zero.set_visible(False)
-        self._axislines["yzero"] = yaxis_zero
-
-SubplotZero = maxes.subplot_class_factory(AxesZero)
-
-
-if 0:
-#if __name__ == "__main__":
-    import matplotlib.pyplot as plt
-
-    fig = plt.figure(1, (4,3))
-
-    ax = SubplotZero(fig, 1, 1, 1)
-    fig.add_subplot(ax)
-
-    ax.axis["xzero"].set_visible(True)
-    ax.axis["xzero"].label.set_text("Axis Zero")
-
-    for n in ["top", "right"]:
-        ax.axis[n].set_visible(False)
-
-    xx = np.arange(0, 2*np.pi, 0.01)
-    ax.plot(xx, np.sin(xx))
-    ax.set_ylabel("Test")
-    plt.draw()
-    plt.show()
-
-
-if __name__ == "__main__":
-#if 1:
-    import matplotlib.pyplot as plt
-
-    fig = plt.figure(1, (4,3))
-
-    ax = Subplot(fig, 1, 1, 1)
-    fig.add_subplot(ax)
-
-    xx = np.arange(0, 2*np.pi, 0.01)
-    ax.plot(xx, np.sin(xx))
-    ax.set_ylabel("Test")
-
-    ax.axis["top"].major_ticks.set_tick_out(True) #set_tick_direction("out")
-    ax.axis["bottom"].major_ticks.set_tick_out(True) #set_tick_direction("out")
-    #ax.axis["bottom"].set_tick_direction("in")
-
-    ax.axis["bottom"].set_label("Tk0")
 
-    plt.draw()
-    plt.show()
+    def clear(self):
+        super().clear()
+        new_floating_axis = self.get_grid_helper().new_floating_axis
+        self._axislines.update(
+            xzero=new_floating_axis(
+                nth_coord=0, value=0., axis_direction="bottom", axes=self),
+            yzero=new_floating_axis(
+                nth_coord=1, value=0., axis_direction="left", axes=self),
+        )
+        for k in ["xzero", "yzero"]:
+            self._axislines[k].line.set_clip_path(self.patch)
+            self._axislines[k].set_visible(False)
+
+
+Subplot = Axes
+SubplotZero = AxesZero
diff --git a/lib/mpl_toolkits/axisartist/clip_path.py b/lib/mpl_toolkits/axisartist/clip_path.py
deleted file mode 100644
index 5c3344426474..000000000000
--- a/lib/mpl_toolkits/axisartist/clip_path.py
+++ /dev/null
@@ -1,163 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
-
-import numpy as np
-from math import degrees
-import math
-import warnings
-
-def atan2(dy, dx):
-    if dx == 0 and dx == 0:
-        warnings.warn("dx and dy is 0")
-        return 0
-    else:
-        return math.atan2(dy, dx)
-
-# FIXME : The current algorithm seems to return incorrect angle when the line
-# ends at the boundary.
-
-def clip(xlines, ylines, x0, clip="right", xdir=True, ydir=True):
-
-    clipped_xlines = []
-    clipped_ylines = []
-
-    _pos_angles = []
-
-    if xdir:
-        xsign = 1
-    else:
-        xsign = -1
-
-    if ydir:
-        ysign = 1
-    else:
-        ysign = -1
-
-
-    for x, y in zip(xlines, ylines):
-
-        if clip in ["up", "right"]:
-            b = (x < x0).astype("i")
-            db = b[1:] - b[:-1]
-        else:
-            b = (x > x0).astype("i")
-            db = b[1:] - b[:-1]
-
-
-        if b[0]:
-            ns = 0
-        else:
-            ns = -1
-        segx, segy = [], []
-        for (i,) in np.argwhere(db!=0):
-            c = db[i]
-            if c == -1:
-                dx = (x0 - x[i])
-                dy = (y[i+1] - y[i]) * (dx/ (x[i+1] - x[i]))
-                y0 = y[i] + dy
-                clipped_xlines.append(np.concatenate([segx, x[ns:i+1], [x0]]))
-                clipped_ylines.append(np.concatenate([segy, y[ns:i+1], [y0]]))
-                ns = -1
-                segx, segy = [], []
-
-                if dx == 0. and dy == 0:
-                    dx = x[i+1] - x[i]
-                    dy = y[i+1] - y[i]
-
-                a = degrees(atan2(ysign*dy, xsign*dx))
-                _pos_angles.append((x0, y0, a))
-
-            elif c == 1:
-                dx = (x0 - x[i])
-                dy = (y[i+1] - y[i]) * (dx / (x[i+1] - x[i]))
-                y0 = y[i] + dy
-                segx, segy = [x0], [y0]
-                ns = i+1
-
-                if dx == 0. and dy == 0:
-                    dx = x[i+1] - x[i]
-                    dy = y[i+1] - y[i]
-
-                a = degrees(atan2(ysign*dy, xsign*dx))
-                _pos_angles.append((x0, y0, a))
-
-                #print x[i], x[i+1]
-
-        if ns != -1:
-            clipped_xlines.append(np.concatenate([segx, x[ns:]]))
-            clipped_ylines.append(np.concatenate([segy, y[ns:]]))
-
-        #clipped_pos_angles.append(_pos_angles)
-
-
-    return clipped_xlines, clipped_ylines, _pos_angles
-
-
-def clip_line_to_rect(xline, yline, bbox):
-
-    x0, y0, x1, y1 = bbox.extents
-
-    xdir = x1 > x0
-    ydir = y1 > y0
-
-    if x1 > x0:
-        lx1, ly1, c_right_ = clip([xline], [yline], x1, clip="right", xdir=xdir, ydir=ydir)
-        lx2, ly2, c_left_ = clip(lx1, ly1, x0, clip="left", xdir=xdir, ydir=ydir)
-    else:
-        lx1, ly1, c_right_ = clip([xline], [yline], x0, clip="right", xdir=xdir, ydir=ydir)
-        lx2, ly2, c_left_ = clip(lx1, ly1, x1, clip="left", xdir=xdir, ydir=ydir)
-
-    if y1 > y0:
-        ly3, lx3, c_top_ = clip(ly2, lx2, y1, clip="right", xdir=ydir, ydir=xdir)
-        ly4, lx4, c_bottom_ = clip(ly3, lx3, y0, clip="left", xdir=ydir, ydir=xdir)
-    else:
-        ly3, lx3, c_top_ = clip(ly2, lx2, y0, clip="right", xdir=ydir, ydir=xdir)
-        ly4, lx4, c_bottom_ = clip(ly3, lx3, y1, clip="left", xdir=ydir, ydir=xdir)
-
-
-    # lx1, ly1, c_right_ = clip([xline], [yline], x1, clip="right")
-    # lx2, ly2, c_left_ = clip(lx1, ly1, x0, clip="left")
-    # ly3, lx3, c_top_ = clip(ly2, lx2, y1, clip="right")
-    # ly4, lx4, c_bottom_ = clip(ly3, lx3, y0, clip="left")
-
-    #c_left = [((x, y), (a+90)%180-180) for (x, y, a) in c_left_ \
-    #          if bbox.containsy(y)]
-    c_left = [((x, y), (a+90)%180-90) for (x, y, a) in c_left_ \
-              if bbox.containsy(y)]
-    c_bottom = [((x, y), (90 - a)%180) for (y, x, a) in c_bottom_  \
-                if bbox.containsx(x)]
-    c_right = [((x, y), (a+90)%180+90) for (x, y, a) in c_right_ \
-               if bbox.containsy(y)]
-    c_top = [((x, y), (90 - a)%180+180) for (y, x, a) in c_top_ \
-             if bbox.containsx(x)]
-
-    return list(zip(lx4, ly4)), [c_left, c_bottom, c_right, c_top]
-
-
-if __name__ == "__main__":
-
-    import matplotlib.pyplot as plt
-
-    x = np.array([-3, -2, -1, 0., 1, 2, 3, 2, 1, 0, -1, -2, -3, 5])
-    #x = np.array([-3, -2, -1, 0., 1, 2, 3])
-    y = np.arange(len(x))
-    #x0 = 2
-
-    plt.plot(x, y, lw=1)
-
-    from matplotlib.transforms import Bbox
-    bb = Bbox.from_extents(-2, 3, 2, 12.5)
-    lxy, ticks = clip_line_to_rect(x, y, bb)
-    for xx, yy in lxy:
-        plt.plot(xx, yy, lw=1, color="g")
-
-    ccc = iter(["ro", "go", "rx", "bx"])
-    for ttt in ticks:
-        cc = six.next(ccc)
-        for (xx, yy), aa in ttt:
-            plt.plot([xx], [yy], cc)
-
-    #xlim(
diff --git a/lib/mpl_toolkits/axisartist/floating_axes.py b/lib/mpl_toolkits/axisartist/floating_axes.py
index 6caab8bce31e..a533b2a9c427 100644
--- a/lib/mpl_toolkits/axisartist/floating_axes.py
+++ b/lib/mpl_toolkits/axisartist/floating_axes.py
@@ -1,46 +1,42 @@
 """
 An experimental support for curvilinear grid.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
 
 # TODO :
+# see if tick_iterator method can be simplified by reusing the parent method.
 
-# *. see if tick_iterator method can be simplified by reusing the parent method.
-
-from itertools import chain
-from .grid_finder import GridFinder
+import functools
 
-from  .axislines import AxisArtistHelper, GridHelperBase
-from  .axis_artist import AxisArtist
-from matplotlib.transforms import Affine2D, IdentityTransform
 import numpy as np
 
+import matplotlib as mpl
+from matplotlib import _api, cbook
+import matplotlib.patches as mpatches
+from matplotlib.path import Path
+from matplotlib.transforms import Bbox
+from mpl_toolkits.axes_grid1.parasite_axes import host_axes_class_factory
+from . import axislines, grid_helper_curvelinear
+from .axis_artist import AxisArtist
+from .grid_finder import ExtremeFinderSimple
 
-from . import grid_helper_curvelinear
 
-class FloatingAxisArtistHelper(grid_helper_curvelinear.FloatingAxisArtistHelper):
+class FloatingAxisArtistHelper(
+        grid_helper_curvelinear.FloatingAxisArtistHelper):
     pass
 
-class FixedAxisArtistHelper(grid_helper_curvelinear.FloatingAxisArtistHelper):
 
+class FixedAxisArtistHelper(grid_helper_curvelinear.FloatingAxisArtistHelper):
 
     def __init__(self, grid_helper, side, nth_coord_ticks=None):
         """
         nth_coord = along which coordinate value varies.
          nth_coord = 0 ->  x axis, nth_coord = 1 -> y axis
         """
-
-        value, nth_coord = grid_helper.get_data_boundary(side) # return v= 0 , nth=1, extremes of the other coordinate.
-        super(FixedAxisArtistHelper, self).__init__(grid_helper,
-                                                    nth_coord,
-                                                    value,
-                                                    axis_direction=side,
-                                                    )
-        #self.grid_helper = grid_helper
+        lon1, lon2, lat1, lat2 = grid_helper.grid_finder.extreme_finder(*[None] * 5)
+        value, nth_coord = _api.check_getitem(
+            dict(left=(lon1, 0), right=(lon2, 0), bottom=(lat1, 1), top=(lat2, 1)),
+            side=side)
+        super().__init__(grid_helper, nth_coord, value, axis_direction=side)
         if nth_coord_ticks is None:
             nth_coord_ticks = nth_coord
         self.nth_coord_ticks = nth_coord_ticks
@@ -49,191 +45,84 @@ def __init__(self, grid_helper, side, nth_coord_ticks=None):
         self.grid_helper = grid_helper
         self._side = side
 
-
     def update_lim(self, axes):
         self.grid_helper.update_lim(axes)
-
-        self.grid_info = self.grid_helper.grid_info
-
-
-
-    def get_axislabel_pos_angle(self, axes):
-
-        extremes = self.grid_info["extremes"]
-
-        if self.nth_coord == 0:
-            xx0 = self.value
-            yy0 = (extremes[2]+extremes[3])/2.
-            dxx, dyy = 0., abs(extremes[2]-extremes[3])/1000.
-        elif self.nth_coord == 1:
-            xx0 = (extremes[0]+extremes[1])/2.
-            yy0 = self.value
-            dxx, dyy = abs(extremes[0]-extremes[1])/1000., 0.
-
-        grid_finder = self.grid_helper.grid_finder
-        xx1, yy1 = grid_finder.transform_xy([xx0], [yy0])
-
-        trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-        p = trans_passingthrough_point.transform_point([xx1[0], yy1[0]])
-
-
-        if (0. <= p[0] <= 1.) and (0. <= p[1] <= 1.):
-            xx1c, yy1c = axes.transData.transform_point([xx1[0], yy1[0]])
-            xx2, yy2 = grid_finder.transform_xy([xx0+dxx], [yy0+dyy])
-            xx2c, yy2c = axes.transData.transform_point([xx2[0], yy2[0]])
-
-            return (xx1c, yy1c), np.arctan2(yy2c-yy1c, xx2c-xx1c)/np.pi*180.
-        else:
-            return None, None
-
-
-
-    def get_tick_transform(self, axes):
-        return IdentityTransform() #axes.transData
+        self._grid_info = self.grid_helper._grid_info
 
     def get_tick_iterators(self, axes):
         """tick_loc, tick_angle, tick_label, (optionally) tick_label"""
 
-
         grid_finder = self.grid_helper.grid_finder
 
-        lat_levs, lat_n, lat_factor = self.grid_info["lat_info"]
-        lon_levs, lon_n, lon_factor = self.grid_info["lon_info"]
-
-        lon_levs, lat_levs = np.asarray(lon_levs), np.asarray(lat_levs)
-        if lat_factor is not None:
-            yy0 = lat_levs / lat_factor
-            dy = 0.001 / lat_factor
-        else:
-            yy0 = lat_levs
-            dy = 0.001
-
-        if lon_factor is not None:
-            xx0 = lon_levs / lon_factor
-            dx = 0.001 / lon_factor
-        else:
-            xx0 = lon_levs
-            dx = 0.001
-
-        _extremes = self.grid_helper._extremes
-        xmin, xmax = sorted(_extremes[:2])
-        ymin, ymax = sorted(_extremes[2:])
-        if self.nth_coord == 0:
-            mask = (ymin <= yy0) & (yy0 <= ymax)
-            yy0 = yy0[mask]
-        elif self.nth_coord == 1:
-            mask = (xmin <= xx0) & (xx0 <= xmax)
-            xx0 = xx0[mask]
-
-        def transform_xy(x, y):
-            x1, y1 = grid_finder.transform_xy(x, y)
-            x2y2 = axes.transData.transform(np.array([x1, y1]).transpose())
-            x2, y2 = x2y2.transpose()
-            return x2, y2
+        lat_levs, lat_n, lat_factor = self._grid_info["lat_info"]
+        yy0 = lat_levs / lat_factor
 
-        # find angles
-        if self.nth_coord == 0:
-            xx0 = np.empty_like(yy0)
-            xx0.fill(self.value)
-
-            #yy0_ = yy0.copy()
-
-            xx1, yy1 = transform_xy(xx0, yy0)
+        lon_levs, lon_n, lon_factor = self._grid_info["lon_info"]
+        xx0 = lon_levs / lon_factor
 
-            xx00 = xx0.copy()
-            xx00[xx0+dx>xmax] -= dx
-            xx1a, yy1a = transform_xy(xx00, yy0)
-            xx1b, yy1b = transform_xy(xx00+dx, yy0)
+        extremes = self.grid_helper.grid_finder.extreme_finder(*[None] * 5)
+        xmin, xmax = sorted(extremes[:2])
+        ymin, ymax = sorted(extremes[2:])
 
-            yy00 = yy0.copy()
-            yy00[yy0+dy>ymax] -= dy
-            xx2a, yy2a = transform_xy(xx0, yy00)
-            xx2b, yy2b = transform_xy(xx0, yy00+dy)
+        def trf_xy(x, y):
+            trf = grid_finder.get_transform() + axes.transData
+            return trf.transform(np.column_stack(np.broadcast_arrays(x, y))).T
 
-            labels = self.grid_info["lat_labels"]
-            labels = [l for l, m in zip(labels, mask) if m]
+        if self.nth_coord == 0:
+            mask = (ymin <= yy0) & (yy0 <= ymax)
+            (xx1, yy1), angle_normal, angle_tangent = \
+                grid_helper_curvelinear._value_and_jac_angle(
+                    trf_xy, self.value, yy0[mask], (xmin, xmax), (ymin, ymax))
+            labels = self._grid_info["lat_labels"]
 
         elif self.nth_coord == 1:
-            yy0 = np.empty_like(xx0)
-            yy0.fill(self.value)
-
-            #xx0_ = xx0.copy()
-            xx1, yy1 = transform_xy(xx0, yy0)
-
-
-            yy00 = yy0.copy()
-            yy00[yy0+dy>ymax] -= dy
-            xx1a, yy1a = transform_xy(xx0, yy00)
-            xx1b, yy1b = transform_xy(xx0, yy00+dy)
-
-            xx00 = xx0.copy()
-            xx00[xx0+dx>xmax] -= dx
-            xx2a, yy2a = transform_xy(xx00, yy0)
-            xx2b, yy2b = transform_xy(xx00+dx, yy0)
-
-            labels = self.grid_info["lon_labels"]
-            labels = [l for l, m in zip(labels, mask) if m]
+            mask = (xmin <= xx0) & (xx0 <= xmax)
+            (xx1, yy1), angle_tangent, angle_normal = \
+                grid_helper_curvelinear._value_and_jac_angle(
+                    trf_xy, xx0[mask], self.value, (xmin, xmax), (ymin, ymax))
+            labels = self._grid_info["lon_labels"]
 
+        labels = [l for l, m in zip(labels, mask) if m]
+        tick_to_axes = self.get_tick_transform(axes) - axes.transAxes
+        in_01 = functools.partial(
+            mpl.transforms._interval_contains_close, (0, 1))
 
         def f1():
-            dd = np.arctan2(yy1b-yy1a, xx1b-xx1a) # angle normal
-            dd2 = np.arctan2(yy2b-yy2a, xx2b-xx2a) # angle tangent
-            mm = ((yy1b-yy1a)==0.) & ((xx1b-xx1a)==0.) # mask where dd1 is not defined
-            dd[mm] = dd2[mm]+3.14159/2.
-
-            #dd += 3.14159
-            #dd = np.arctan2(xx2-xx1, angle_tangent-yy1)
-            trans_tick = self.get_tick_transform(axes)
-            tr2ax = trans_tick + axes.transAxes.inverted()
-            for x, y, d, d2, lab in zip(xx1, yy1, dd, dd2, labels):
-                c2 = tr2ax.transform_point((x, y))
-                delta=0.00001
-                if (0. -delta<= c2[0] <= 1.+delta) and \
-                       (0. -delta<= c2[1] <= 1.+delta):
-                    d1 = d/3.14159*180.
-                    d2 = d2/3.14159*180.
-                    #_mod = (d2-d1+180)%360
-                    #if _mod < 180:
-                    #    d1 += 180
-                    ##_div, _mod = divmod(d2-d1, 360)
-                    yield [x, y], d1, d2, lab
-                    #, d2/3.14159*180.+da)
+            for x, y, normal, tangent, lab \
+                    in zip(xx1, yy1, angle_normal, angle_tangent, labels):
+                c2 = tick_to_axes.transform((x, y))
+                if in_01(c2[0]) and in_01(c2[1]):
+                    yield [x, y], *np.rad2deg([normal, tangent]), lab
 
         return f1(), iter([])
 
-    def get_line_transform(self, axes):
-        return axes.transData
-
     def get_line(self, axes):
-
         self.update_lim(axes)
-        from matplotlib.path import Path
         k, v = dict(left=("lon_lines0", 0),
                     right=("lon_lines0", 1),
                     bottom=("lat_lines0", 0),
                     top=("lat_lines0", 1))[self._side]
-
-        xx, yy = self.grid_info[k][v]
-        return Path(list(zip(xx, yy)))
-
+        return Path(self._grid_info[k][v])
 
 
-from .grid_finder import ExtremeFinderSimple
-
 class ExtremeFinderFixed(ExtremeFinderSimple):
-    def __init__(self, extremes):
-        self._extremes = extremes
+    # docstring inherited
 
-    def __call__(self, transform_xy, x1, y1, x2, y2):
+    def __init__(self, extremes):
         """
-        get extreme values.
+        This subclass always returns the same bounding box.
 
-        x1, y1, x2, y2 in image coordinates (0-based)
-        nx, ny : number of division in each axis
+        Parameters
+        ----------
+        extremes : (float, float, float, float)
+            The bounding box that this helper always returns.
         """
-        #lon_min, lon_max, lat_min, lat_max = self._extremes
-        return self._extremes
+        x0, x1, y0, y1 = extremes
+        self._tbbox = Bbox.from_extents(x0, y0, x1, y1)
 
+    def _find_transformed_bbox(self, trans, bbox):
+        # docstring inherited
+        return self._tbbox
 
 
 class GridHelperCurveLinear(grid_helper_curvelinear.GridHelperCurveLinear):
@@ -243,481 +132,133 @@ def __init__(self, aux_trans, extremes,
                  grid_locator2=None,
                  tick_formatter1=None,
                  tick_formatter2=None):
-        """
-        aux_trans : a transform from the source (curved) coordinate to
-        target (rectilinear) coordinate. An instance of MPL's Transform
-        (inverse transform should be defined) or a tuple of two callable
-        objects which defines the transform and its inverse. The callables
-        need take two arguments of array of source coordinates and
-        should return two target coordinates:
-          e.g., x2, y2 = trans(x1, y1)
-        """
-
-        self._old_values = None
-
-        self._extremes = extremes
-        extreme_finder = ExtremeFinderFixed(extremes)
-
-        super(GridHelperCurveLinear, self).__init__(aux_trans,
-                                                    extreme_finder,
-                                                    grid_locator1=grid_locator1,
-                                                    grid_locator2=grid_locator2,
-                                                    tick_formatter1=tick_formatter1,
-                                                    tick_formatter2=tick_formatter2)
-
-
-    # def update_grid_finder(self, aux_trans=None, **kw):
-
-    #     if aux_trans is not None:
-    #         self.grid_finder.update_transform(aux_trans)
-
-    #     self.grid_finder.update(**kw)
-    #     self.invalidate()
-
-
-    # def _update(self, x1, x2, y1, y2):
-    #     "bbox in 0-based image coordinates"
-    #     # update wcsgrid
-
-    #     if self.valid() and self._old_values == (x1, x2, y1, y2):
-    #         return
-
-    #     self._update_grid(x1, y1, x2, y2)
-
-    #     self._old_values = (x1, x2, y1, y2)
-
-    #     self._force_update = False
-
-
-    def get_data_boundary(self, side):
-        """
-        return v= 0 , nth=1
-        """
-        lon1, lon2, lat1, lat2 = self._extremes
-        return dict(left=(lon1, 0),
-                    right=(lon2, 0),
-                    bottom=(lat1, 1),
-                    top=(lat2, 1))[side]
-
-
-    def new_fixed_axis(self, loc,
-                       nth_coord=None,
-                       axis_direction=None,
-                       offset=None,
-                       axes=None):
-
+        # docstring inherited
+        super().__init__(aux_trans,
+                         extreme_finder=ExtremeFinderFixed(extremes),
+                         grid_locator1=grid_locator1,
+                         grid_locator2=grid_locator2,
+                         tick_formatter1=tick_formatter1,
+                         tick_formatter2=tick_formatter2)
+
+    def new_fixed_axis(
+            self, loc, nth_coord=None, axis_direction=None, offset=None, axes=None):
         if axes is None:
             axes = self.axes
-
         if axis_direction is None:
             axis_direction = loc
-
-        _helper = FixedAxisArtistHelper(self, loc,
-                                        nth_coord_ticks=nth_coord)
-
-
-        axisline = AxisArtist(axes, _helper, axis_direction=axis_direction)
+        # This is not the same as the FixedAxisArtistHelper class used by
+        # grid_helper_curvelinear.GridHelperCurveLinear.new_fixed_axis!
+        helper = FixedAxisArtistHelper(
+            self, loc, nth_coord_ticks=nth_coord)
+        axisline = AxisArtist(axes, helper, axis_direction=axis_direction)
+        # Perhaps should be moved to the base class?
         axisline.line.set_clip_on(True)
         axisline.line.set_clip_box(axisline.axes.bbox)
-
-
         return axisline
 
-
     # new_floating_axis will inherit the grid_helper's extremes.
 
-    # def new_floating_axis(self, nth_coord,
-    #                       value,
-    #                       axes=None,
-    #                       axis_direction="bottom"
-    #                       ):
-
+    # def new_floating_axis(self, nth_coord, value, axes=None, axis_direction="bottom"):
     #     axis = super(GridHelperCurveLinear,
     #                  self).new_floating_axis(nth_coord,
     #                                          value, axes=axes,
     #                                          axis_direction=axis_direction)
-
     #     # set extreme values of the axis helper
     #     if nth_coord == 1:
     #         axis.get_helper().set_extremes(*self._extremes[:2])
     #     elif nth_coord == 0:
     #         axis.get_helper().set_extremes(*self._extremes[2:])
-
     #     return axis
 
+    def _update_grid(self, bbox):
+        if self._grid_info is None:
+            self._grid_info = dict()
 
-    def _update_grid(self, x1, y1, x2, y2):
-
-        #self.grid_info = self.grid_finder.get_grid_info(x1, y1, x2, y2)
-
-        if self.grid_info is None:
-            self.grid_info = dict()
-
-        grid_info = self.grid_info
+        grid_info = self._grid_info
 
         grid_finder = self.grid_finder
-        extremes = grid_finder.extreme_finder(grid_finder.inv_transform_xy,
-                                              x1, y1, x2, y2)
+        tbbox = grid_finder.extreme_finder._find_transformed_bbox(
+            grid_finder.get_transform().inverted(), bbox)
 
-        lon_min, lon_max = sorted(extremes[:2])
-        lat_min, lat_max = sorted(extremes[2:])
-        lon_levs, lon_n, lon_factor = \
-                  grid_finder.grid_locator1(lon_min, lon_max)
-        lat_levs, lat_n, lat_factor = \
-                  grid_finder.grid_locator2(lat_min, lat_max)
-        grid_info["extremes"] = lon_min, lon_max, lat_min, lat_max #extremes
+        lon_min, lat_min, lon_max, lat_max = tbbox.extents
+        grid_info["extremes"] = tbbox
+
+        lon_levs, lon_n, lon_factor = grid_finder.grid_locator1(lon_min, lon_max)
+        lon_levs = np.asarray(lon_levs)
+        lat_levs, lat_n, lat_factor = grid_finder.grid_locator2(lat_min, lat_max)
+        lat_levs = np.asarray(lat_levs)
 
         grid_info["lon_info"] = lon_levs, lon_n, lon_factor
         grid_info["lat_info"] = lat_levs, lat_n, lat_factor
 
-        grid_info["lon_labels"] = grid_finder.tick_formatter1("bottom",
-                                                              lon_factor,
-                                                              lon_levs)
-
-        grid_info["lat_labels"] = grid_finder.tick_formatter2("bottom",
-                                                              lat_factor,
-                                                              lat_levs)
-
-        if lon_factor is None:
-            lon_values = np.asarray(lon_levs[:lon_n])
-        else:
-            lon_values = np.asarray(lon_levs[:lon_n]/lon_factor)
-        if lat_factor is None:
-            lat_values = np.asarray(lat_levs[:lat_n])
-        else:
-            lat_values = np.asarray(lat_levs[:lat_n]/lat_factor)
+        grid_info["lon_labels"] = grid_finder._format_ticks(
+            1, "bottom", lon_factor, lon_levs)
+        grid_info["lat_labels"] = grid_finder._format_ticks(
+            2, "bottom", lat_factor, lat_levs)
 
-        lon_values0 = lon_values[(lon_min<lon_values) & (lon_values<lon_max)]
-        lat_values0 = lat_values[(lat_min<lat_values) & (lat_values<lat_max)]
-        lon_lines, lat_lines = grid_finder._get_raw_grid_lines(lon_values0,
-                                                               lat_values0,
-                                                               lon_min, lon_max,
-                                                               lat_min, lat_max)
+        lon_values = lon_levs[:lon_n] / lon_factor
+        lat_values = lat_levs[:lat_n] / lat_factor
 
+        lon_lines, lat_lines = grid_finder._get_raw_grid_lines(
+            lon_values[(lon_min < lon_values) & (lon_values < lon_max)],
+            lat_values[(lat_min < lat_values) & (lat_values < lat_max)],
+            tbbox)
 
         grid_info["lon_lines"] = lon_lines
         grid_info["lat_lines"] = lat_lines
 
-
-        lon_lines, lat_lines = grid_finder._get_raw_grid_lines(extremes[:2],
-                                                               extremes[2:],
-                                                               *extremes)
-        #lon_min, lon_max,
-        #                                                       lat_min, lat_max)
-
+        lon_lines, lat_lines = grid_finder._get_raw_grid_lines(
+            tbbox.intervalx, tbbox.intervaly, tbbox)
 
         grid_info["lon_lines0"] = lon_lines
         grid_info["lat_lines0"] = lat_lines
 
-
-
     def get_gridlines(self, which="major", axis="both"):
         grid_lines = []
         if axis in ["both", "x"]:
-            for gl in self.grid_info["lon_lines"]:
-                grid_lines.extend([gl])
+            grid_lines.extend(map(np.transpose, self._grid_info["lon_lines"]))
         if axis in ["both", "y"]:
-            for gl in self.grid_info["lat_lines"]:
-                grid_lines.extend([gl])
-
+            grid_lines.extend(map(np.transpose, self._grid_info["lat_lines"]))
         return grid_lines
 
 
-    def get_boundary(self):
-        """
-        return Nx2 array of x,y coordinate of the boundary
-        """
-        x0, x1, y0, y1 = self._extremes
-        tr = self._aux_trans
-        xx = np.linspace(x0, x1, 100)
-        yy0, yy1 = np.empty_like(xx), np.empty_like(xx)
-        yy0.fill(y0)
-        yy1.fill(y1)
-
-        yy = np.linspace(y0, y1, 100)
-        xx0, xx1 = np.empty_like(yy), np.empty_like(yy)
-        xx0.fill(x0)
-        xx1.fill(x1)
-
-        xxx = np.concatenate([xx[:-1], xx1[:-1], xx[-1:0:-1], xx0])
-        yyy = np.concatenate([yy0[:-1], yy[:-1], yy1[:-1], yy[::-1]])
-        t = tr.transform(np.array([xxx, yyy]).transpose())
-
-        return t
-
-
-
-
-
-
-
-
-
-
-
-
-class FloatingAxesBase(object):
-
-
-    def __init__(self, *kl, **kwargs):
-        grid_helper = kwargs.get("grid_helper", None)
-        if grid_helper is None:
-            raise ValueError("FloatingAxes requires grid_helper argument")
-        if not hasattr(grid_helper, "get_boundary"):
-            raise ValueError("grid_helper must implement get_boundary method")
-
-        self._axes_class_floating.__init__(self, *kl, **kwargs)
+class FloatingAxesBase:
 
+    def __init__(self, *args, grid_helper, **kwargs):
+        _api.check_isinstance(GridHelperCurveLinear, grid_helper=grid_helper)
+        super().__init__(*args, grid_helper=grid_helper, **kwargs)
         self.set_aspect(1.)
-        self.adjust_axes_lim()
-
 
     def _gen_axes_patch(self):
-        """
-        Returns the patch used to draw the background of the axes.  It
-        is also used as the clipping path for any data elements on the
-        axes.
-
-        In the standard axes, this is a rectangle, but in other
-        projections it may not be.
-
-        .. note::
-            Intended to be overridden by new projection types.
-        """
-        import matplotlib.patches as mpatches
-        grid_helper = self.get_grid_helper()
-        t = grid_helper.get_boundary()
-        return mpatches.Polygon(t)
-
-    def cla(self):
-        self._axes_class_floating.cla(self)
-        #HostAxes.cla(self)
-        self.patch.set_transform(self.transData)
-
-
-        patch = self._axes_class_floating._gen_axes_patch(self)
-        patch.set_figure(self.figure)
-        patch.set_visible(False)
-        patch.set_transform(self.transAxes)
-
-        self.patch.set_clip_path(patch)
-        self.gridlines.set_clip_path(patch)
-
-        self._original_patch = patch
-
+        # docstring inherited
+        x0, x1, y0, y1 = self.get_grid_helper().grid_finder.extreme_finder(*[None] * 5)
+        patch = mpatches.Polygon([(x0, y0), (x1, y0), (x1, y1), (x0, y1)])
+        patch.get_path()._interpolation_steps = 100
+        return patch
+
+    def clear(self):
+        super().clear()
+        self.patch.set_transform(
+            self.get_grid_helper().grid_finder.get_transform()
+            + self.transData)
+        # The original patch is not in the draw tree; it is only used for
+        # clipping purposes.
+        orig_patch = super()._gen_axes_patch()
+        orig_patch.set_figure(self.get_figure(root=False))
+        orig_patch.set_transform(self.transAxes)
+        self.patch.set_clip_path(orig_patch)
+        self.gridlines.set_clip_path(orig_patch)
+        self.adjust_axes_lim()
 
     def adjust_axes_lim(self):
+        bbox = self.patch.get_path().get_extents(
+            # First transform to pixel coords, then to parent data coords.
+            self.patch.get_transform() - self.transData)
+        bbox = bbox.expanded(1.02, 1.02)
+        self.set_xlim(bbox.xmin, bbox.xmax)
+        self.set_ylim(bbox.ymin, bbox.ymax)
 
-        #t = self.get_boundary()
-        grid_helper = self.get_grid_helper()
-        t = grid_helper.get_boundary()
-        x, y = t[:,0], t[:,1]
-
-        xmin, xmax = min(x), max(x)
-        ymin, ymax = min(y), max(y)
-
-        dx = (xmax-xmin)/100.
-        dy = (ymax-ymin)/100.
-
-        self.set_xlim(xmin-dx, xmax+dx)
-        self.set_ylim(ymin-dy, ymax+dy)
-
-
-
-_floatingaxes_classes = {}
-
-def floatingaxes_class_factory(axes_class):
-
-    new_class = _floatingaxes_classes.get(axes_class)
-    if new_class is None:
-        new_class = type(str("Floating %s" % (axes_class.__name__)),
-                         (FloatingAxesBase, axes_class),
-                         {'_axes_class_floating': axes_class})
-        _floatingaxes_classes[axes_class] = new_class
-
-    return new_class
-
-from .axislines import Axes
-from mpl_toolkits.axes_grid1.parasite_axes import host_axes_class_factory
-
-FloatingAxes = floatingaxes_class_factory(host_axes_class_factory(Axes))
-
-
-import matplotlib.axes as maxes
-FloatingSubplot = maxes.subplot_class_factory(FloatingAxes)
-
-# def test(fig):
-#     from mpl_toolkits.axes_grid.axislines import Subplot
-#     ax = Subplot(fig, 111)
-
-#     fig.add_subplot(ax)
-
-#     plt.draw()
-
-
-def curvelinear_test3(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-    global ax1, axis
-    import numpy as np
-    from . import angle_helper
-    from matplotlib.projections import PolarAxes
-
-    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
-    # system in degree
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    # polar projection, which involves cycle, and also has limits in
-    # its coordinates, needs a special method to find the extremes
-    # (min, max of the coordinate within the view).
-
-
-    grid_locator1 = angle_helper.LocatorDMS(15)
-    # Find a grid values appropriate for the coordinate (degree,
-    # minute, second).
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-    # And also uses an appropriate formatter.  Note that,the
-    # acceptable Locator and Formatter class is a bit different than
-    # that of mpl's, and you cannot directly use mpl's Locator and
-    # Formatter here (but may be possible in the future).
-
-    from .grid_finder import FixedLocator
-    grid_locator2 = FixedLocator([2, 4, 6, 8, 10])
-
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extremes=(0, 360, 10, 3),
-                                        grid_locator1=grid_locator1,
-                                        grid_locator2=grid_locator2,
-                                        tick_formatter1=tick_formatter1,
-                                        tick_formatter2=None,
-                                        )
-
-    ax1 = FloatingSubplot(fig, 111, grid_helper=grid_helper)
-
-
-    #ax1.axis["top"].set_visible(False)
-    #ax1.axis["bottom"].major_ticklabels.set_axis_direction("top")
-
-    fig.add_subplot(ax1)
-
-
-    #ax1.grid(True)
-
-
-    r_scale = 10.
-    tr2 = Affine2D().scale(1., 1./r_scale) + tr
-    grid_locator2 = FixedLocator([30, 60, 90])
-    grid_helper2 = GridHelperCurveLinear(tr2,
-                                        extremes=(0, 360,
-                                                  10.*r_scale, 3.*r_scale),
-                                        grid_locator2=grid_locator2,
-                                        )
-
-    ax1.axis["right"] = axis = grid_helper2.new_fixed_axis("right", axes=ax1)
-
-    ax1.axis["left"].label.set_text("Test 1")
-    ax1.axis["right"].label.set_text("Test 2")
-
-
-    for an in [ "left", "right"]:
-        ax1.axis[an].set_visible(False)
-
-
-    #grid_helper2 = ax1.get_grid_helper()
-    ax1.axis["z"] = axis = grid_helper.new_floating_axis(1, 7,
-                                                         axes=ax1,
-                                                         axis_direction="bottom")
-    axis.toggle(all=True, label=True)
-    #axis.label.set_axis_direction("top")
-    axis.label.set_text("z = ?")
-    axis.label.set_visible(True)
-    axis.line.set_color("0.5")
-    #axis.label.set_visible(True)
-
-
-    ax2 = ax1.get_aux_axes(tr)
-
-    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
-    ax2.scatter(xx, yy)
-    l, = ax2.plot(xx, yy, "k-")
-    l.set_clip_path(ax1.patch)
-
-
-def curvelinear_test4(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-    global ax1, axis
-    import numpy as np
-    from . import angle_helper
-    from matplotlib.projections import PolarAxes
-
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    grid_locator1 = angle_helper.LocatorDMS(5)
-    tick_formatter1 = angle_helper.FormatterDMS()
-
-    from .grid_finder import FixedLocator
-    grid_locator2 = FixedLocator([2, 4, 6, 8, 10])
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extremes=(120, 30, 10, 0),
-                                        grid_locator1=grid_locator1,
-                                        grid_locator2=grid_locator2,
-                                        tick_formatter1=tick_formatter1,
-                                        tick_formatter2=None,
-                                        )
-
-    ax1 = FloatingSubplot(fig, 111, grid_helper=grid_helper)
-
-
-    #ax1.axis["top"].set_visible(False)
-    #ax1.axis["bottom"].major_ticklabels.set_axis_direction("top")
-
-    fig.add_subplot(ax1)
-
-
-    #ax1.grid(True)
-
-
-    ax1.axis["left"].label.set_text("Test 1")
-    ax1.axis["right"].label.set_text("Test 2")
-
-
-    for an in [ "top"]:
-        ax1.axis[an].set_visible(False)
-
-
-    #grid_helper2 = ax1.get_grid_helper()
-    ax1.axis["z"] = axis = grid_helper.new_floating_axis(1, 70,
-                                                         axes=ax1,
-                                                         axis_direction="bottom")
-    axis.toggle(all=True, label=True)
-    axis.label.set_axis_direction("top")
-    axis.label.set_text("z = ?")
-    axis.label.set_visible(True)
-    axis.line.set_color("0.5")
-    #axis.label.set_visible(True)
-
-
-    ax2 = ax1.get_aux_axes(tr)
-
-    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
-    ax2.scatter(xx, yy)
-    l, = ax2.plot(xx, yy, "k-")
-    l.set_clip_path(ax1.patch)
-
-if __name__ == "__main__":
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1, figsize=(5, 5))
-    fig.clf()
-
-    #test(fig)
-    #curvelinear_test1(fig)
-    curvelinear_test4(fig)
 
-    #plt.draw()
-    plt.show()
+floatingaxes_class_factory = cbook._make_class_factory(FloatingAxesBase, "Floating{}")
+FloatingAxes = floatingaxes_class_factory(host_axes_class_factory(axislines.Axes))
+FloatingSubplot = FloatingAxes
diff --git a/lib/mpl_toolkits/axisartist/grid_finder.py b/lib/mpl_toolkits/axisartist/grid_finder.py
index 0bbfcd56d370..e51d4912c732 100644
--- a/lib/mpl_toolkits/axisartist/grid_finder.py
+++ b/lib/mpl_toolkits/axisartist/grid_finder.py
@@ -1,330 +1,307 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 import numpy as np
-import matplotlib.cbook as mcbook
-from matplotlib.transforms import Bbox
-from . import clip_path
-clip_line_to_rect = clip_path.clip_line_to_rect
 
-import matplotlib.ticker as mticker
-from matplotlib.transforms import Transform
+from matplotlib import ticker as mticker, _api
+from matplotlib.transforms import Bbox, Transform
+
+
+def _find_line_box_crossings(xys, bbox):
+    """
+    Find the points where a polyline crosses a bbox, and the crossing angles.
+
+    Parameters
+    ----------
+    xys : (N, 2) array
+        The polyline coordinates.
+    bbox : `.Bbox`
+        The bounding box.
+
+    Returns
+    -------
+    list of ((float, float), float)
+        Four separate lists of crossings, for the left, right, bottom, and top
+        sides of the bbox, respectively.  For each list, the entries are the
+        ``((x, y), ccw_angle_in_degrees)`` of the crossing, where an angle of 0
+        means that the polyline is moving to the right at the crossing point.
+
+        The entries are computed by linearly interpolating at each crossing
+        between the nearest points on either side of the bbox edges.
+    """
+    crossings = []
+    dxys = xys[1:] - xys[:-1]
+    for sl in [slice(None), slice(None, None, -1)]:
+        us, vs = xys.T[sl]  # "this" coord, "other" coord
+        dus, dvs = dxys.T[sl]
+        umin, vmin = bbox.min[sl]
+        umax, vmax = bbox.max[sl]
+        for u0, inside in [(umin, us > umin), (umax, us < umax)]:
+            cross = []
+            idxs, = (inside[:-1] ^ inside[1:]).nonzero()
+            vv = vs[idxs] + (u0 - us[idxs]) * dvs[idxs] / dus[idxs]
+            crossings.append([
+                ((u0, v)[sl], np.degrees(np.arctan2(*dxy[::-1])))  # ((x, y), theta)
+                for v, dxy in zip(vv, dxys[idxs]) if vmin <= v <= vmax])
+    return crossings
+
+
+class ExtremeFinderSimple:
+    """
+    A helper class to figure out the range of grid lines that need to be drawn.
+    """
 
-# extremes finder
-
-class ExtremeFinderSimple(object):
     def __init__(self, nx, ny):
-        self.nx, self.ny = nx, ny
+        """
+        Parameters
+        ----------
+        nx, ny : int
+            The number of samples in each direction.
+        """
+        self.nx = nx
+        self.ny = ny
 
     def __call__(self, transform_xy, x1, y1, x2, y2):
         """
-        get extreme values.
+        Compute an approximation of the bounding box obtained by applying
+        *transform_xy* to the box delimited by ``(x1, y1, x2, y2)``.
+
+        The intended use is to have ``(x1, y1, x2, y2)`` in axes coordinates,
+        and have *transform_xy* be the transform from axes coordinates to data
+        coordinates; this method then returns the range of data coordinates
+        that span the actual axes.
+
+        The computation is done by sampling ``nx * ny`` equispaced points in
+        the ``(x1, y1, x2, y2)`` box and finding the resulting points with
+        extremal coordinates; then adding some padding to take into account the
+        finite sampling.
+
+        As each sampling step covers a relative range of ``1/nx`` or ``1/ny``,
+        the padding is computed by expanding the span covered by the extremal
+        coordinates by these fractions.
+        """
+        tbbox = self._find_transformed_bbox(
+            _User2DTransform(transform_xy, None), Bbox.from_extents(x1, y1, x2, y2))
+        return tbbox.x0, tbbox.x1, tbbox.y0, tbbox.y1
 
-        x1, y1, x2, y2 in image coordinates (0-based)
-        nx, ny : number of division in each axis
+    def _find_transformed_bbox(self, trans, bbox):
         """
-        x_, y_ = np.linspace(x1, x2, self.nx), np.linspace(y1, y2, self.ny)
-        x, y = np.meshgrid(x_, y_)
-        lon, lat = transform_xy(np.ravel(x), np.ravel(y))
+        Compute an approximation of the bounding box obtained by applying
+        *trans* to *bbox*.
 
-        lon_min, lon_max = lon.min(), lon.max()
-        lat_min, lat_max = lat.min(), lat.max()
+        See ``__call__`` for details; this method performs similar
+        calculations, but using a different representation of the arguments and
+        return value.
+        """
+        grid = np.reshape(np.meshgrid(np.linspace(bbox.x0, bbox.x1, self.nx),
+                                      np.linspace(bbox.y0, bbox.y1, self.ny)),
+                          (2, -1)).T
+        tbbox = Bbox.null()
+        tbbox.update_from_data_xy(trans.transform(grid))
+        return tbbox.expanded(1 + 2 / self.nx, 1 + 2 / self.ny)
 
-        return self._add_pad(lon_min, lon_max, lat_min, lat_max)
 
-    def _add_pad(self, lon_min, lon_max, lat_min, lat_max):
-        """ a small amount of padding is added because the current
-        clipping algorithms seems to fail when the gridline ends at
-        the bbox boundary.
+class _User2DTransform(Transform):
+    """A transform defined by two user-set functions."""
+
+    input_dims = output_dims = 2
+
+    def __init__(self, forward, backward):
+        """
+        Parameters
+        ----------
+        forward, backward : callable
+            The forward and backward transforms, taking ``x`` and ``y`` as
+            separate arguments and returning ``(tr_x, tr_y)``.
         """
-        dlon = (lon_max - lon_min) / self.nx
-        dlat = (lat_max - lat_min) / self.ny
+        # The normal Matplotlib convention would be to take and return an
+        # (N, 2) array but axisartist uses the transposed version.
+        super().__init__()
+        self._forward = forward
+        self._backward = backward
 
-        lon_min, lon_max = lon_min - dlon, lon_max + dlon
-        lat_min, lat_max = lat_min - dlat, lat_max + dlat
+    def transform_non_affine(self, values):
+        # docstring inherited
+        return np.transpose(self._forward(*np.transpose(values)))
 
-        return lon_min, lon_max, lat_min, lat_max
+    def inverted(self):
+        # docstring inherited
+        return type(self)(self._backward, self._forward)
 
 
+class GridFinder:
+    """
+    Internal helper for `~.grid_helper_curvelinear.GridHelperCurveLinear`, with
+    the same constructor parameters; should not be directly instantiated.
+    """
 
-class GridFinderBase(object):
     def __init__(self,
-                 extreme_finder,
-                 grid_locator1,
-                 grid_locator2,
+                 transform,
+                 extreme_finder=None,
+                 grid_locator1=None,
+                 grid_locator2=None,
                  tick_formatter1=None,
                  tick_formatter2=None):
-        """
-        the transData of the axes to the world coordinate.
-        locator1, locator2 : grid locator for 1st and 2nd axis.
-
-        Derived must define "transform_xy, inv_transform_xy"
-        (may use update_transform)
-        """
-        super(GridFinderBase, self).__init__()
-
+        if extreme_finder is None:
+            extreme_finder = ExtremeFinderSimple(20, 20)
+        if grid_locator1 is None:
+            grid_locator1 = MaxNLocator()
+        if grid_locator2 is None:
+            grid_locator2 = MaxNLocator()
+        if tick_formatter1 is None:
+            tick_formatter1 = FormatterPrettyPrint()
+        if tick_formatter2 is None:
+            tick_formatter2 = FormatterPrettyPrint()
         self.extreme_finder = extreme_finder
         self.grid_locator1 = grid_locator1
         self.grid_locator2 = grid_locator2
         self.tick_formatter1 = tick_formatter1
         self.tick_formatter2 = tick_formatter2
+        self.set_transform(transform)
 
-    def get_grid_info(self,
-                      x1, y1, x2, y2):
+    def _format_ticks(self, idx, direction, factor, levels):
+        """
+        Helper to support both standard formatters (inheriting from
+        `.mticker.Formatter`) and axisartist-specific ones; should be called instead of
+        directly calling ``self.tick_formatter1`` and ``self.tick_formatter2``.  This
+        method should be considered as a temporary workaround which will be removed in
+        the future at the same time as axisartist-specific formatters.
+        """
+        fmt = _api.check_getitem(
+            {1: self.tick_formatter1, 2: self.tick_formatter2}, idx=idx)
+        return (fmt.format_ticks(levels) if isinstance(fmt, mticker.Formatter)
+                else fmt(direction, factor, levels))
+
+    def get_grid_info(self, x1, y1, x2, y2):
         """
         lon_values, lat_values : list of grid values. if integer is given,
                            rough number of grids in each direction.
         """
 
-        extremes = self.extreme_finder(self.inv_transform_xy, x1, y1, x2, y2)
-
-        # min & max rage of lat (or lon) for each grid line will be drawn.
-        # i.e., gridline of lon=0 will be drawn from lat_min to lat_max.
-
-        lon_min, lon_max, lat_min, lat_max = extremes
-        lon_levs, lon_n, lon_factor = \
-                  self.grid_locator1(lon_min, lon_max)
-        lat_levs, lat_n, lat_factor = \
-                  self.grid_locator2(lat_min, lat_max)
-
-        if lon_factor is None:
-            lon_values = np.asarray(lon_levs[:lon_n])
-        else:
-            lon_values = np.asarray(lon_levs[:lon_n]/lon_factor)
-        if lat_factor is None:
-            lat_values = np.asarray(lat_levs[:lat_n])
-        else:
-            lat_values = np.asarray(lat_levs[:lat_n]/lat_factor)
-
-
-        lon_lines, lat_lines = self._get_raw_grid_lines(lon_values,
-                                                        lat_values,
-                                                        lon_min, lon_max,
-                                                        lat_min, lat_max)
-
-        ddx = (x2-x1)*1.e-10
-        ddy = (y2-y1)*1.e-10
-        bb = Bbox.from_extents(x1-ddx, y1-ddy, x2+ddx, y2+ddy)
-
-        grid_info = {}
-        grid_info["extremes"] = extremes
-        grid_info["lon_lines"] = lon_lines
-        grid_info["lat_lines"] = lat_lines
-
-        grid_info["lon"] = self._clip_grid_lines_and_find_ticks(lon_lines,
-                                                                lon_values,
-                                                                lon_levs,
-                                                                bb)
-
-        grid_info["lat"] = self._clip_grid_lines_and_find_ticks(lat_lines,
-                                                                lat_values,
-                                                                lat_levs,
-                                                                bb)
-
-        tck_labels = grid_info["lon"]["tick_labels"] = dict()
-        for direction in ["left", "bottom", "right", "top"]:
-            levs = grid_info["lon"]["tick_levels"][direction]
-            tck_labels[direction] = self.tick_formatter1(direction,
-                                                         lon_factor, levs)
-
-        tck_labels = grid_info["lat"]["tick_labels"] = dict()
-        for direction in ["left", "bottom", "right", "top"]:
-            levs = grid_info["lat"]["tick_levels"][direction]
-            tck_labels[direction] = self.tick_formatter2(direction,
-                                                         lat_factor, levs)
+        bbox = Bbox.from_extents(x1, y1, x2, y2)
+        tbbox = self.extreme_finder._find_transformed_bbox(
+            self.get_transform().inverted(), bbox)
+
+        lon_levs, lon_n, lon_factor = self.grid_locator1(*tbbox.intervalx)
+        lat_levs, lat_n, lat_factor = self.grid_locator2(*tbbox.intervaly)
+
+        lon_values = np.asarray(lon_levs[:lon_n]) / lon_factor
+        lat_values = np.asarray(lat_levs[:lat_n]) / lat_factor
+
+        lon_lines, lat_lines = self._get_raw_grid_lines(lon_values, lat_values, tbbox)
+
+        bbox_expanded = bbox.expanded(1 + 2e-10, 1 + 2e-10)
+        grid_info = {"extremes": tbbox}  # "lon", "lat" keys filled below.
+
+        for idx, lon_or_lat, levs, factor, values, lines in [
+                (1, "lon", lon_levs, lon_factor, lon_values, lon_lines),
+                (2, "lat", lat_levs, lat_factor, lat_values, lat_lines),
+        ]:
+            grid_info[lon_or_lat] = gi = {
+                "lines": lines,
+                "ticks": {"left": [], "right": [], "bottom": [], "top": []},
+            }
+            for xys, v, level in zip(lines, values, levs):
+                all_crossings = _find_line_box_crossings(xys, bbox_expanded)
+                for side, crossings in zip(
+                        ["left", "right", "bottom", "top"], all_crossings):
+                    for crossing in crossings:
+                        gi["ticks"][side].append({"level": level, "loc": crossing})
+            for side in gi["ticks"]:
+                levs = [tick["level"] for tick in gi["ticks"][side]]
+                labels = self._format_ticks(idx, side, factor, levs)
+                for tick, label in zip(gi["ticks"][side], labels):
+                    tick["label"] = label
 
         return grid_info
 
-
-    def _get_raw_grid_lines(self,
-                            lon_values, lat_values,
-                            lon_min, lon_max, lat_min, lat_max):
-
-        lons_i = np.linspace(lon_min, lon_max, 100) # for interpolation
-        lats_i = np.linspace(lat_min, lat_max, 100)
-
-        lon_lines = [self.transform_xy(np.zeros_like(lats_i)+lon, lats_i) \
+    def _get_raw_grid_lines(self, lon_values, lat_values, bbox):
+        trans = self.get_transform()
+        lons = np.linspace(bbox.x0, bbox.x1, 100)  # for interpolation
+        lats = np.linspace(bbox.y0, bbox.y1, 100)
+        lon_lines = [trans.transform(np.column_stack([np.full_like(lats, lon), lats]))
                      for lon in lon_values]
-        lat_lines = [self.transform_xy(lons_i, np.zeros_like(lons_i)+lat) \
+        lat_lines = [trans.transform(np.column_stack([lons, np.full_like(lons, lat)]))
                      for lat in lat_values]
-
         return lon_lines, lat_lines
 
-
-    def _clip_grid_lines_and_find_ticks(self, lines, values, levs, bb):
-        gi = dict()
-        gi["values"] = []
-        gi["levels"] = []
-        gi["tick_levels"] = dict(left=[], bottom=[], right=[], top=[])
-        gi["tick_locs"] = dict(left=[], bottom=[], right=[], top=[])
-        gi["lines"] = []
-
-        tck_levels = gi["tick_levels"]
-        tck_locs = gi["tick_locs"]
-        for (lx, ly), v, lev in zip(lines, values, levs):
-            xy, tcks = clip_line_to_rect(lx, ly, bb)
-            if not xy:
-                continue
-            gi["levels"].append(v)
-            gi["lines"].append(xy)
-
-            for tck, direction in zip(tcks, ["left", "bottom", "right", "top"]):
-                for t in tck:
-                    tck_levels[direction].append(lev)
-                    tck_locs[direction].append(t)
-
-        return gi
-
-
-    def update_transform(self, aux_trans):
+    def set_transform(self, aux_trans):
         if isinstance(aux_trans, Transform):
-            def transform_xy(x, y):
-                x, y = np.asarray(x), np.asarray(y)
-                ll1 = np.concatenate((x[:,np.newaxis], y[:,np.newaxis]), 1)
-                ll2 = aux_trans.transform(ll1)
-                lon, lat = ll2[:,0], ll2[:,1]
-                return lon, lat
-
-            def inv_transform_xy(x, y):
-                x, y = np.asarray(x), np.asarray(y)
-                ll1 = np.concatenate((x[:,np.newaxis], y[:,np.newaxis]), 1)
-                ll2 = aux_trans.inverted().transform(ll1)
-                lon, lat = ll2[:,0], ll2[:,1]
-                return lon, lat
-
+            self._aux_transform = aux_trans
+        elif len(aux_trans) == 2 and all(map(callable, aux_trans)):
+            self._aux_transform = _User2DTransform(*aux_trans)
         else:
-            transform_xy, inv_transform_xy = aux_trans
+            raise TypeError("'aux_trans' must be either a Transform "
+                            "instance or a pair of callables")
+
+    def get_transform(self):
+        return self._aux_transform
+
+    update_transform = set_transform  # backcompat alias.
 
-        self.transform_xy = transform_xy
-        self.inv_transform_xy = inv_transform_xy
+    @_api.deprecated("3.11", alternative="grid_finder.get_transform()")
+    def transform_xy(self, x, y):
+        return self._aux_transform.transform(np.column_stack([x, y])).T
 
+    @_api.deprecated("3.11", alternative="grid_finder.get_transform().inverted()")
+    def inv_transform_xy(self, x, y):
+        return self._aux_transform.inverted().transform(
+            np.column_stack([x, y])).T
 
-    def update(self, **kw):
-        for k in kw:
+    def update(self, **kwargs):
+        for k, v in kwargs.items():
             if k in ["extreme_finder",
                      "grid_locator1",
                      "grid_locator2",
                      "tick_formatter1",
                      "tick_formatter2"]:
-                setattr(self, k, kw[k])
+                setattr(self, k, v)
             else:
-                raise ValueError("unknown update property '%s'" % k)
-
-
-
-
-class GridFinder(GridFinderBase):
-
-    def __init__(self,
-                 transform,
-                 extreme_finder=None,
-                 grid_locator1=None,
-                 grid_locator2=None,
-                 tick_formatter1=None,
-                 tick_formatter2=None):
-        """
-        transform : transform from the image coordinate (which will be
-        the transData of the axes to the world coordinate.
-
-        or transform = (transform_xy, inv_transform_xy)
-
-        locator1, locator2 : grid locator for 1st and 2nd axis.
-        """
-
-        if extreme_finder is None:
-            extreme_finder = ExtremeFinderSimple(20, 20)
-        if grid_locator1 is None:
-            grid_locator1 = MaxNLocator()
-        if grid_locator2 is None:
-            grid_locator2 = MaxNLocator()
-        if tick_formatter1 is None:
-            tick_formatter1 = FormatterPrettyPrint()
-        if tick_formatter2 is None:
-            tick_formatter2 = FormatterPrettyPrint()
-
-        super(GridFinder, self).__init__( \
-                 extreme_finder,
-                 grid_locator1,
-                 grid_locator2,
-                 tick_formatter1,
-                 tick_formatter2)
-
-        self.update_transform(transform)
+                raise ValueError(f"Unknown update property {k!r}")
 
 
 class MaxNLocator(mticker.MaxNLocator):
-    def __init__(self, nbins = 10, steps = None,
-                 trim = True,
+    def __init__(self, nbins=10, steps=None,
+                 trim=True,
                  integer=False,
                  symmetric=False,
                  prune=None):
-
-        mticker.MaxNLocator.__init__(self, nbins, steps=steps,
-                                     trim=trim, integer=integer,
-                                     symmetric=symmetric, prune=prune)
+        # trim argument has no effect. It has been left for API compatibility
+        super().__init__(nbins, steps=steps, integer=integer,
+                         symmetric=symmetric, prune=prune)
         self.create_dummy_axis()
-        self._factor = None
 
     def __call__(self, v1, v2):
-        if self._factor is not None:
-            self.set_bounds(v1*self._factor, v2*self._factor)
-            locs = mticker.MaxNLocator.__call__(self)
-            return np.array(locs), len(locs), self._factor
-        else:
-            self.set_bounds(v1, v2)
-            locs = mticker.MaxNLocator.__call__(self)
-            return np.array(locs), len(locs), None
-
-    def set_factor(self, f):
-        self._factor = f
+        locs = super().tick_values(v1, v2)
+        return np.array(locs), len(locs), 1  # 1: factor (see angle_helper)
 
 
-class FixedLocator(object):
+class FixedLocator:
     def __init__(self, locs):
         self._locs = locs
-        self._factor = None
-
 
     def __call__(self, v1, v2):
-        if self._factor is None:
-            v1, v2 = sorted([v1, v2])
-        else:
-            v1, v2 = sorted([v1*self._factor, v2*self._factor])
-        locs = np.array([l for l in self._locs if ((v1 <= l) and (l <= v2))])
-        return locs, len(locs), self._factor
-
-    def set_factor(self, f):
-        self._factor = f
-
+        v1, v2 = sorted([v1, v2])
+        locs = np.array([l for l in self._locs if v1 <= l <= v2])
+        return locs, len(locs), 1  # 1: factor (see angle_helper)
 
 
 # Tick Formatter
 
-class FormatterPrettyPrint(object):
+class FormatterPrettyPrint:
     def __init__(self, useMathText=True):
-        self._fmt = mticker.ScalarFormatter(useMathText=useMathText, useOffset=False)
+        self._fmt = mticker.ScalarFormatter(
+            useMathText=useMathText, useOffset=False)
         self._fmt.create_dummy_axis()
-        self._ignore_factor = True
 
     def __call__(self, direction, factor, values):
-        if not self._ignore_factor:
-            if factor is None:
-                factor = 1.
-            values = [v/factor for v in values]
-        #values = [v for v in values]
-        self._fmt.set_locs(values)
-        return [self._fmt(v) for v in values]
+        return self._fmt.format_ticks(values)
 
 
-class DictFormatter(object):
+class DictFormatter:
     def __init__(self, format_dict, formatter=None):
         """
         format_dict : dictionary for format strings to be used.
         formatter : fall-back formatter
         """
-        super(DictFormatter, self).__init__()
+        super().__init__()
         self._format_dict = format_dict
         self._fallback_formatter = formatter
 
@@ -332,21 +309,10 @@ def __call__(self, direction, factor, values):
         """
         factor is ignored if value is found in the dictionary
         """
-
         if self._fallback_formatter:
-            fallback_strings = self._fallback_formatter(direction, factor, values)
+            fallback_strings = self._fallback_formatter(
+                direction, factor, values)
         else:
-            fallback_strings = [""]*len(values)
-
-        r = [self._format_dict.get(k, v) for k, v in zip(values,
-                                                         fallback_strings)]
-        return r
-
-
-if __name__ == "__main__":
-    locator = MaxNLocator()
-    locs, nloc, factor = locator(0, 100)
-
-    fmt = FormatterPrettyPrint()
-
-    print(fmt("left", None, locs))
+            fallback_strings = [""] * len(values)
+        return [self._format_dict.get(k, v)
+                for k, v in zip(values, fallback_strings)]
diff --git a/lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py b/lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
index bbef9f330513..1e27b3f571f3 100644
--- a/lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
+++ b/lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
@@ -1,23 +1,92 @@
 """
 An experimental support for curvilinear grid.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
+import functools
 
-from itertools import chain
-from .grid_finder import GridFinder
-
-from  .axislines import AxisArtistHelper, GridHelperBase
-from  .axis_artist import AxisArtist
-from matplotlib.transforms import Affine2D, IdentityTransform
 import numpy as np
 
+import matplotlib as mpl
 from matplotlib.path import Path
+from matplotlib.transforms import Affine2D, Bbox, IdentityTransform
+from .axislines import (
+    _FixedAxisArtistHelperBase, _FloatingAxisArtistHelperBase, GridHelperBase)
+from .axis_artist import AxisArtist
+from .grid_finder import GridFinder
 
-class FixedAxisArtistHelper(AxisArtistHelper.Fixed):
+
+def _value_and_jac_angle(func, xs, ys, xlim, ylim):
+    """
+    Parameters
+    ----------
+    func : callable
+        A function that transforms the coordinates of a point (x, y) to a new coordinate
+        system (u, v), and which can also take x and y as arrays of shape *shape* and
+        returns (u, v) as a ``(2, shape)`` array.
+    xs, ys : array-likes
+        Points where *func* and its derivatives will be evaluated.
+    xlim, ylim : pairs of floats
+        (min, max) beyond which *func* should not be evaluated.
+
+    Returns
+    -------
+    val
+        Value of *func* at each point of ``(xs, ys)``.
+    thetas_dx
+        Angles (in radians) defined by the (u, v) components of the numerically
+        differentiated df/dx vector, at each point of ``(xs, ys)``.  If needed, the
+        differentiation step size is increased until at least one component of df/dx
+        is nonzero, under the constraint of not going out of the *xlims*, *ylims*
+        bounds.  If the gridline at a point is actually null (and the angle is thus not
+        well defined), the derivatives are evaluated after taking a small step along y;
+        this ensures e.g. that the tick at r=0 on a radial axis of a polar plot is
+        parallel with the ticks at r!=0.
+    thetas_dy
+        Like *thetas_dx*, but for df/dy.
+    """
+
+    shape = np.broadcast_shapes(np.shape(xs), np.shape(ys))
+    val = func(xs, ys)
+
+    # Take finite difference steps towards the furthest bound; the step size will be the
+    # min of epsilon and the distance to that bound.
+    eps0 = np.finfo(float).eps ** (1/2)  # cf. scipy.optimize.approx_fprime
+
+    def calc_eps(vals, lim):
+        lo, hi = sorted(lim)
+        dlo = vals - lo
+        dhi = hi - vals
+        eps_max = np.maximum(dlo, dhi)
+        eps = np.where(dhi >= dlo, 1, -1) * np.minimum(eps0, eps_max)
+        return eps, eps_max
+
+    xeps, xeps_max = calc_eps(xs, xlim)
+    yeps, yeps_max = calc_eps(ys, ylim)
+
+    def calc_thetas(dfunc, ps, eps_p0, eps_max, eps_q):
+        thetas_dp = np.full(shape, np.nan)
+        missing = np.full(shape, True)
+        eps_p = eps_p0
+        for it, eps_q in enumerate([0, eps_q]):
+            while missing.any() and (abs(eps_p) < eps_max).any():
+                if it == 0 and (eps_p > 1).any():
+                    break  # Degenerate derivative, move a bit along the other coord.
+                eps_p = np.minimum(eps_p, eps_max)
+                df_x, df_y = (dfunc(eps_p, eps_q) - dfunc(0, eps_q)) / eps_p
+                good = missing & ((df_x != 0) | (df_y != 0))
+                thetas_dp[good] = np.arctan2(df_y, df_x)[good]
+                missing &= ~good
+                eps_p *= 2
+        return thetas_dp
+
+    thetas_dx = calc_thetas(lambda eps_p, eps_q: func(xs + eps_p, ys + eps_q),
+                            xs, xeps, xeps_max, yeps)
+    thetas_dy = calc_thetas(lambda eps_p, eps_q: func(xs + eps_q, ys + eps_p),
+                            ys, yeps, yeps_max, xeps)
+    return (val, thetas_dx, thetas_dy)
+
+
+class FixedAxisArtistHelper(_FixedAxisArtistHelperBase):
     """
     Helper class for a fixed axis.
     """
@@ -28,9 +97,7 @@ def __init__(self, grid_helper, side, nth_coord_ticks=None):
          nth_coord = 0 ->  x axis, nth_coord = 1 -> y axis
         """
 
-        super(FixedAxisArtistHelper, self).__init__( \
-            loc=side,
-            )
+        super().__init__(loc=side)
 
         self.grid_helper = grid_helper
         if nth_coord_ticks is None:
@@ -38,73 +105,53 @@ def __init__(self, grid_helper, side, nth_coord_ticks=None):
         self.nth_coord_ticks = nth_coord_ticks
 
         self.side = side
-        self._limits_inverted = False
 
     def update_lim(self, axes):
         self.grid_helper.update_lim(axes)
 
-        if self.nth_coord == 0:
-            xy1, xy2 = axes.get_ylim()
-        else:
-            xy1, xy2 = axes.get_xlim()
-
-        if xy1 > xy2:
-            self._limits_inverted = True
-        else:
-            self._limits_inverted = False
-
-
-    def change_tick_coord(self, coord_number=None):
-        if coord_number is None:
-            self.nth_coord_ticks = 1 - self.nth_coord_ticks
-        elif coord_number in [0, 1]:
-            self.nth_coord_ticks = coord_number
-        else:
-            raise Exception("wrong coord number")
-
-
     def get_tick_transform(self, axes):
         return axes.transData
 
     def get_tick_iterators(self, axes):
         """tick_loc, tick_angle, tick_label"""
-
-        g = self.grid_helper
-
-        if self._limits_inverted:
-            side = {"left":"right","right":"left",
-                    "top":"bottom", "bottom":"top"}[self.side]
+        v1, v2 = axes.get_ylim() if self.nth_coord == 0 else axes.get_xlim()
+        if v1 > v2:  # Inverted limits.
+            side = {"left": "right", "right": "left",
+                    "top": "bottom", "bottom": "top"}[self.side]
         else:
             side = self.side
 
-        ti1 = g.get_tick_iterator(self.nth_coord_ticks, side)
-        ti2 = g.get_tick_iterator(1-self.nth_coord_ticks, side, minor=True)
-
-        #ti2 = g.get_tick_iterator(1-self.nth_coord_ticks, self.side, minor=True)
+        angle_tangent = dict(left=90, right=90, bottom=0, top=0)[side]
 
-        return chain(ti1, ti2), iter([])
+        def iter_major():
+            for nth_coord, show_labels in [
+                    (self.nth_coord_ticks, True), (1 - self.nth_coord_ticks, False)]:
+                gi = self.grid_helper._grid_info[["lon", "lat"][nth_coord]]
+                for tick in gi["ticks"][side]:
+                    yield (*tick["loc"], angle_tangent,
+                           (tick["label"] if show_labels else ""))
 
+        return iter_major(), iter([])
 
 
-class FloatingAxisArtistHelper(AxisArtistHelper.Floating):
+class FloatingAxisArtistHelper(_FloatingAxisArtistHelperBase):
 
     def __init__(self, grid_helper, nth_coord, value, axis_direction=None):
         """
         nth_coord = along which coordinate value varies.
          nth_coord = 0 ->  x axis, nth_coord = 1 -> y axis
         """
-
-        super(FloatingAxisArtistHelper, self).__init__(nth_coord,
-                                                       value,
-                                                       )
+        super().__init__(nth_coord, value)
         self.value = value
         self.grid_helper = grid_helper
-        self._extremes = None, None
-
-        self._get_line_path = None # a method that returns a Path.
-        self._line_num_points = 100 # number of points to create a line
+        self._extremes = -np.inf, np.inf
+        self._line_num_points = 100  # number of points to create a line
 
     def set_extremes(self, e1, e2):
+        if e1 is None:
+            e1 = -np.inf
+        if e2 is None:
+            e2 = np.inf
         self._extremes = e1, e2
 
     def update_lim(self, axes):
@@ -113,220 +160,120 @@ def update_lim(self, axes):
         x1, x2 = axes.get_xlim()
         y1, y2 = axes.get_ylim()
         grid_finder = self.grid_helper.grid_finder
-        extremes = grid_finder.extreme_finder(grid_finder.inv_transform_xy,
-                                              x1, y1, x2, y2)
+        tbbox = grid_finder.extreme_finder._find_transformed_bbox(
+            grid_finder.get_transform().inverted(), Bbox.from_extents(x1, y1, x2, y2))
 
-        extremes = list(extremes)
-        e1, e2 = self._extremes # ranges of other coordinates
+        lon_min, lat_min, lon_max, lat_max = tbbox.extents
+        e_min, e_max = self._extremes  # ranges of other coordinates
         if self.nth_coord == 0:
-            if e1 is not None:
-                extremes[2] = max(e1, extremes[2])
-            if e2 is not None:
-                extremes[3] = min(e2, extremes[3])
+            lat_min = max(e_min, lat_min)
+            lat_max = min(e_max, lat_max)
         elif self.nth_coord == 1:
-            if e1 is not None:
-                extremes[0] = max(e1, extremes[0])
-            if e2 is not None:
-                extremes[1] = min(e2, extremes[1])
-
-        grid_info = dict()
-        lon_min, lon_max, lat_min, lat_max = extremes
-        lon_levs, lon_n, lon_factor = \
-                  grid_finder.grid_locator1(lon_min, lon_max)
-        lat_levs, lat_n, lat_factor = \
-                  grid_finder.grid_locator2(lat_min, lat_max)
-        grid_info["extremes"] = extremes
-
-        grid_info["lon_info"] = lon_levs, lon_n, lon_factor
-        grid_info["lat_info"] = lat_levs, lat_n, lat_factor
-
-        grid_info["lon_labels"] = grid_finder.tick_formatter1("bottom",
-                                                              lon_factor,
-                                                              lon_levs)
-
-        grid_info["lat_labels"] = grid_finder.tick_formatter2("bottom",
-                                                              lat_factor,
-                                                              lat_levs)
+            lon_min = max(e_min, lon_min)
+            lon_max = min(e_max, lon_max)
 
-        grid_finder = self.grid_helper.grid_finder
+        lon_levs, lon_n, lon_factor = grid_finder.grid_locator1(lon_min, lon_max)
+        lat_levs, lat_n, lat_factor = grid_finder.grid_locator2(lat_min, lat_max)
 
-        #e1, e2 = self._extremes # ranges of other coordinates
         if self.nth_coord == 0:
-            xx0 = np.linspace(self.value, self.value, self._line_num_points)
-            yy0 = np.linspace(extremes[2], extremes[3], self._line_num_points)
-            xx, yy = grid_finder.transform_xy(xx0, yy0)
+            xys = grid_finder.get_transform().transform(np.column_stack([
+                np.full(self._line_num_points, self.value),
+                np.linspace(lat_min, lat_max, self._line_num_points),
+            ]))
         elif self.nth_coord == 1:
-            xx0 = np.linspace(extremes[0], extremes[1], self._line_num_points)
-            yy0 = np.linspace(self.value, self.value, self._line_num_points)
-            xx, yy = grid_finder.transform_xy(xx0, yy0)
-
-        grid_info["line_xy"] = xx, yy
-        self.grid_info = grid_info
+            xys = grid_finder.get_transform().transform(np.column_stack([
+                np.linspace(lon_min, lon_max, self._line_num_points),
+                np.full(self._line_num_points, self.value),
+            ]))
+
+        self._grid_info = {
+            "extremes": Bbox.from_extents(lon_min, lat_min, lon_max, lat_max),
+            "lon_info": (lon_levs, lon_n, np.asarray(lon_factor)),
+            "lat_info": (lat_levs, lat_n, np.asarray(lat_factor)),
+            "lon_labels": grid_finder._format_ticks(
+                1, "bottom", lon_factor, lon_levs),
+            "lat_labels": grid_finder._format_ticks(
+                2, "bottom", lat_factor, lat_levs),
+            "line_xy": xys,
+        }
 
     def get_axislabel_transform(self, axes):
-        return Affine2D() #axes.transData
+        return Affine2D()  # axes.transData
 
     def get_axislabel_pos_angle(self, axes):
+        def trf_xy(x, y):
+            trf = self.grid_helper.grid_finder.get_transform() + axes.transData
+            return trf.transform([x, y]).T
 
-        extremes = self.grid_info["extremes"]
-
+        xmin, ymin, xmax, ymax = self._grid_info["extremes"].extents
         if self.nth_coord == 0:
             xx0 = self.value
-            yy0 = (extremes[2]+extremes[3])/2.
-            dxx, dyy = 0., abs(extremes[2]-extremes[3])/1000.
+            yy0 = (ymin + ymax) / 2
         elif self.nth_coord == 1:
-            xx0 = (extremes[0]+extremes[1])/2.
+            xx0 = (xmin + xmax) / 2
             yy0 = self.value
-            dxx, dyy = abs(extremes[0]-extremes[1])/1000., 0.
-
-        grid_finder = self.grid_helper.grid_finder
-        xx1, yy1 = grid_finder.transform_xy([xx0], [yy0])
-
-        trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-        p = trans_passingthrough_point.transform_point([xx1[0], yy1[0]])
-
-
-        if (0. <= p[0] <= 1.) and (0. <= p[1] <= 1.):
-            xx1c, yy1c = axes.transData.transform_point([xx1[0], yy1[0]])
-            xx2, yy2 = grid_finder.transform_xy([xx0+dxx], [yy0+dyy])
-            xx2c, yy2c = axes.transData.transform_point([xx2[0], yy2[0]])
-
-            return (xx1c, yy1c), np.arctan2(yy2c-yy1c, xx2c-xx1c)/np.pi*180.
+        xy1, angle_dx, angle_dy = _value_and_jac_angle(
+            trf_xy, xx0, yy0, (xmin, xmax), (ymin, ymax))
+        p = axes.transAxes.inverted().transform(xy1)
+        if 0 <= p[0] <= 1 and 0 <= p[1] <= 1:
+            return xy1, np.rad2deg([angle_dy, angle_dx][self.nth_coord])
         else:
             return None, None
 
-
-
-
     def get_tick_transform(self, axes):
-        return IdentityTransform() #axes.transData
+        return IdentityTransform()  # axes.transData
 
     def get_tick_iterators(self, axes):
         """tick_loc, tick_angle, tick_label, (optionally) tick_label"""
 
-        grid_finder = self.grid_helper.grid_finder
+        lat_levs, lat_n, lat_factor = self._grid_info["lat_info"]
+        yy0 = lat_levs / lat_factor
 
-        lat_levs, lat_n, lat_factor = self.grid_info["lat_info"]
-        lat_levs = np.asarray(lat_levs)
-        if lat_factor is not None:
-            yy0 = lat_levs / lat_factor
-            dy = 0.01 / lat_factor
-        else:
-            yy0 = lat_levs
-            dy = 0.01
-
-        lon_levs, lon_n, lon_factor = self.grid_info["lon_info"]
-        lon_levs = np.asarray(lon_levs)
-        if lon_factor is not None:
-            xx0 = lon_levs / lon_factor
-            dx = 0.01 / lon_factor
-        else:
-            xx0 = lon_levs
-            dx = 0.01
+        lon_levs, lon_n, lon_factor = self._grid_info["lon_info"]
+        xx0 = lon_levs / lon_factor
 
-        if None in self._extremes:
-            e0, e1 = self._extremes
-        else:
-            e0, e1 = sorted(self._extremes)
-        if e0 is None:
-            e0 = -np.inf
-        if e1 is None:
-            e1 = np.inf
+        e0, e1 = self._extremes
 
-        if self.nth_coord == 0:
-            mask = (e0 <= yy0) & (yy0 <= e1)
-            #xx0, yy0 = xx0[mask], yy0[mask]
-            yy0 = yy0[mask]
-        elif self.nth_coord == 1:
-            mask = (e0 <= xx0) & (xx0 <= e1)
-            #xx0, yy0 = xx0[mask], yy0[mask]
-            xx0 = xx0[mask]
-
-        def transform_xy(x, y):
-            x1, y1 = grid_finder.transform_xy(x, y)
-            x2y2 = axes.transData.transform(np.array([x1, y1]).transpose())
-            x2, y2 = x2y2.transpose()
-            return x2, y2
+        def trf_xy(x, y):
+            trf = self.grid_helper.grid_finder.get_transform() + axes.transData
+            return trf.transform(np.column_stack(np.broadcast_arrays(x, y))).T
 
         # find angles
         if self.nth_coord == 0:
-            xx0 = np.empty_like(yy0)
-            xx0.fill(self.value)
-
-            xx1, yy1 = transform_xy(xx0, yy0)
-
-            xx00 = xx0.copy()
-            xx00[xx0+dx>e1] -= dx
-            xx1a, yy1a = transform_xy(xx00, yy0)
-            xx1b, yy1b = transform_xy(xx00+dx, yy0)
-
-            xx2a, yy2a = transform_xy(xx0, yy0)
-            xx2b, yy2b = transform_xy(xx0, yy0+dy)
-
-            labels = self.grid_info["lat_labels"]
-            labels = [l for l, m in zip(labels, mask) if m]
+            mask = (e0 <= yy0) & (yy0 <= e1)
+            (xx1, yy1), angle_normal, angle_tangent = _value_and_jac_angle(
+                trf_xy, self.value, yy0[mask], (-np.inf, np.inf), (e0, e1))
+            labels = self._grid_info["lat_labels"]
 
         elif self.nth_coord == 1:
-            yy0 = np.empty_like(xx0)
-            yy0.fill(self.value)
-
-            xx1, yy1 = transform_xy(xx0, yy0)
-
-            xx1a, yy1a = transform_xy(xx0, yy0)
-            xx1b, yy1b = transform_xy(xx0, yy0+dy)
-
-            xx00 = xx0.copy()
-            xx00[xx0+dx>e1] -= dx
-            xx2a, yy2a = transform_xy(xx00, yy0)
-            xx2b, yy2b = transform_xy(xx00+dx, yy0)
-
-            labels = self.grid_info["lon_labels"]
-            labels = [l for l, m in zip(labels, mask) if m]
-
-
-        def f1():
-            dd = np.arctan2(yy1b-yy1a, xx1b-xx1a) # angle normal
-            dd2 = np.arctan2(yy2b-yy2a, xx2b-xx2a) # angle tangent
-            mm = ((yy1b-yy1a)==0.) & ((xx1b-xx1a)==0.) # mask where dd1 is not defined
-            dd[mm] = dd2[mm]+3.14159/2.
-            #dd = np.arctan2(yy2-yy1, xx2-xx1) # angle normal
-            #dd2 = np.arctan2(yy3-yy1, xx3-xx1) # angle tangent
-            #mm = ((yy2-yy1)==0.) & ((xx2-xx1)==0.) # mask where dd1 is not defined
-            #dd[mm] = dd2[mm]+3.14159/2.
+            mask = (e0 <= xx0) & (xx0 <= e1)
+            (xx1, yy1), angle_tangent, angle_normal = _value_and_jac_angle(
+                trf_xy, xx0[mask], self.value, (-np.inf, np.inf), (e0, e1))
+            labels = self._grid_info["lon_labels"]
 
-            #dd += 3.14159
+        labels = [l for l, m in zip(labels, mask) if m]
+        tick_to_axes = self.get_tick_transform(axes) - axes.transAxes
+        in_01 = functools.partial(
+            mpl.transforms._interval_contains_close, (0, 1))
 
-            #dd = np.arctan2(xx2-xx1, angle_tangent-yy1)
-            trans_tick = self.get_tick_transform(axes)
-            tr2ax = trans_tick + axes.transAxes.inverted()
-            for x, y, d, d2, lab in zip(xx1, yy1, dd, dd2, labels):
-                c2 = tr2ax.transform_point((x, y))
-                delta=0.00001
-                if (0. -delta<= c2[0] <= 1.+delta) and \
-                       (0. -delta<= c2[1] <= 1.+delta):
-                    d1 = d/3.14159*180.
-                    d2 = d2/3.14159*180.
-                    yield [x, y], d1, d2, lab
+        def iter_major():
+            for x, y, normal, tangent, lab \
+                    in zip(xx1, yy1, angle_normal, angle_tangent, labels):
+                c2 = tick_to_axes.transform((x, y))
+                if in_01(c2[0]) and in_01(c2[1]):
+                    yield [x, y], *np.rad2deg([normal, tangent]), lab
 
-        return f1(), iter([])
+        return iter_major(), iter([])
 
     def get_line_transform(self, axes):
         return axes.transData
 
     def get_line(self, axes):
         self.update_lim(axes)
-        x, y = self.grid_info["line_xy"]
-
-        if self._get_line_path is None:
-            return Path(list(zip(x, y)))
-        else:
-            return self._get_line_path(axes, x, y)
-
-
+        return Path(self._grid_info["line_xy"])
 
 
 class GridHelperCurveLinear(GridHelperBase):
-
     def __init__(self, aux_trans,
                  extreme_finder=None,
                  grid_locator1=None,
@@ -334,21 +281,27 @@ def __init__(self, aux_trans,
                  tick_formatter1=None,
                  tick_formatter2=None):
         """
-        aux_trans : a transform from the source (curved) coordinate to
-        target (rectilinear) coordinate. An instance of MPL's Transform
-        (inverse transform should be defined) or a tuple of two callable
-        objects which defines the transform and its inverse. The callables
-        need take two arguments of array of source coordinates and
-        should return two target coordinates:
-          e.g., x2, y2 = trans(x1, y1)
-        """
-        super(GridHelperCurveLinear, self).__init__()
+        Parameters
+        ----------
+        aux_trans : `.Transform` or tuple[Callable, Callable]
+            The transform from curved coordinates to rectilinear coordinate:
+            either a `.Transform` instance (which provides also its inverse),
+            or a pair of callables ``(trans, inv_trans)`` that define the
+            transform and its inverse.  The callables should have signature::
+
+                x_rect, y_rect = trans(x_curved, y_curved)
+                x_curved, y_curved = inv_trans(x_rect, y_rect)
 
-        self.grid_info = None
-        self._old_values = None
-        #self._grid_params = dict()
-        self._aux_trans = aux_trans
+        extreme_finder
 
+        grid_locator1, grid_locator2
+            Grid locators for each axis.
+
+        tick_formatter1, tick_formatter2
+            Tick formatters for each axis.
+        """
+        super().__init__()
+        self._grid_info = None
         self.grid_finder = GridFinder(aux_trans,
                                       extreme_finder,
                                       grid_locator1,
@@ -356,419 +309,44 @@ def __init__(self, aux_trans,
                                       tick_formatter1,
                                       tick_formatter2)
 
-
-    def update_grid_finder(self, aux_trans=None, **kw):
-
+    def update_grid_finder(self, aux_trans=None, **kwargs):
         if aux_trans is not None:
             self.grid_finder.update_transform(aux_trans)
+        self.grid_finder.update(**kwargs)
+        self._old_limits = None  # Force revalidation.
 
-        self.grid_finder.update(**kw)
-        self.invalidate()
-
-
-    def _update(self, x1, x2, y1, y2):
-        "bbox in 0-based image coordinates"
-        # update wcsgrid
-
-        if self.valid() and self._old_values == (x1, x2, y1, y2):
-            return
-
-        self._update_grid(x1, y1, x2, y2)
-
-        self._old_values = (x1, x2, y1, y2)
-
-        self._force_update = False
-
-
-    def new_fixed_axis(self, loc,
-                       nth_coord=None,
-                       axis_direction=None,
-                       offset=None,
-                       axes=None):
-
-
+    def new_fixed_axis(
+        self, loc, *, axis_direction=None, offset=None, axes=None, nth_coord=None
+    ):
         if axes is None:
             axes = self.axes
-
         if axis_direction is None:
             axis_direction = loc
-        _helper = FixedAxisArtistHelper(self, loc,
-                                        #nth_coord,
-                                        nth_coord_ticks=nth_coord,
-                                        )
-
-        axisline = AxisArtist(axes, _helper, axis_direction=axis_direction)
-
+        helper = FixedAxisArtistHelper(self, loc, nth_coord_ticks=nth_coord)
+        axisline = AxisArtist(axes, helper, axis_direction=axis_direction)
+        # Why is clip not set on axisline, unlike in new_floating_axis or in
+        # the floating_axig.GridHelperCurveLinear subclass?
         return axisline
 
-
-    def new_floating_axis(self, nth_coord,
-                          value,
-                          axes=None,
-                          axis_direction="bottom"
-                          ):
-
+    def new_floating_axis(self, nth_coord, value, axes=None, axis_direction="bottom"):
         if axes is None:
             axes = self.axes
-
-        _helper = FloatingAxisArtistHelper( \
+        helper = FloatingAxisArtistHelper(
             self, nth_coord, value, axis_direction)
-
-        axisline = AxisArtist(axes, _helper)
-
-        #_helper = FloatingAxisArtistHelper(self, nth_coord,
-        #                                   value,
-        #                                   label_direction=label_direction,
-        #                                   )
-
-        #axisline = AxisArtistFloating(axes, _helper,
-        #                              axis_direction=axis_direction)
+        axisline = AxisArtist(axes, helper)
         axisline.line.set_clip_on(True)
         axisline.line.set_clip_box(axisline.axes.bbox)
-        #axisline.major_ticklabels.set_visible(True)
-        #axisline.minor_ticklabels.set_visible(False)
-
-        #axisline.major_ticklabels.set_rotate_along_line(True)
-        #axisline.set_rotate_label_along_line(True)
-
+        # axisline.major_ticklabels.set_visible(True)
+        # axisline.minor_ticklabels.set_visible(False)
         return axisline
 
-
-    def _update_grid(self, x1, y1, x2, y2):
-
-        self.grid_info = self.grid_finder.get_grid_info(x1, y1, x2, y2)
-
+    def _update_grid(self, bbox):
+        self._grid_info = self.grid_finder.get_grid_info(*bbox.extents)
 
     def get_gridlines(self, which="major", axis="both"):
         grid_lines = []
-
         if axis in ["both", "x"]:
-            for gl in self.grid_info["lon"]["lines"]:
-                grid_lines.extend(gl)
+            grid_lines.extend([gl.T for gl in self._grid_info["lon"]["lines"]])
         if axis in ["both", "y"]:
-            for gl in self.grid_info["lat"]["lines"]:
-                grid_lines.extend(gl)
-
+            grid_lines.extend([gl.T for gl in self._grid_info["lat"]["lines"]])
         return grid_lines
-
-
-    def get_tick_iterator(self, nth_coord, axis_side, minor=False):
-
-        #axisnr = dict(left=0, bottom=1, right=2, top=3)[axis_side]
-        angle_tangent = dict(left=90, right=90, bottom=0, top=0)[axis_side]
-        #angle = [0, 90, 180, 270][axisnr]
-        lon_or_lat = ["lon", "lat"][nth_coord]
-        if not minor: # major ticks
-            def f():
-                for (xy, a), l in zip(self.grid_info[lon_or_lat]["tick_locs"][axis_side],
-                                    self.grid_info[lon_or_lat]["tick_labels"][axis_side]):
-                    angle_normal = a
-                    yield xy, angle_normal, angle_tangent, l
-        else:
-            def f():
-                for (xy, a), l in zip(self.grid_info[lon_or_lat]["tick_locs"][axis_side],
-                                    self.grid_info[lon_or_lat]["tick_labels"][axis_side]):
-                    angle_normal = a
-                    yield xy, angle_normal, angle_tangent, ""
-                #for xy, a, l in self.grid_info[lon_or_lat]["ticks"][axis_side]:
-                #    yield xy, a, ""
-
-        return f()
-
-
-
-def test3():
-
-    import numpy as np
-    from matplotlib.transforms import Transform
-    from matplotlib.path import Path
-
-    class MyTransform(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def __init__(self, resolution):
-            """
-            Create a new Aitoff transform.  Resolution is the number of steps
-            to interpolate between each input line segment to approximate its
-            path in curved Aitoff space.
-            """
-            Transform.__init__(self)
-            self._resolution = resolution
-
-        def transform(self, ll):
-            x = ll[:, 0:1]
-            y  = ll[:, 1:2]
-
-            return np.concatenate((x, y-x), 1)
-
-        transform.__doc__ = Transform.transform.__doc__
-
-        transform_non_affine = transform
-        transform_non_affine.__doc__ = Transform.transform_non_affine.__doc__
-
-        def transform_path(self, path):
-            vertices = path.vertices
-            ipath = path.interpolated(self._resolution)
-            return Path(self.transform(ipath.vertices), ipath.codes)
-        transform_path.__doc__ = Transform.transform_path.__doc__
-
-        transform_path_non_affine = transform_path
-        transform_path_non_affine.__doc__ = Transform.transform_path_non_affine.__doc__
-
-        def inverted(self):
-            return MyTransformInv(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
-
-    class MyTransformInv(Transform):
-        input_dims = 2
-        output_dims = 2
-        is_separable = False
-
-        def __init__(self, resolution):
-            Transform.__init__(self)
-            self._resolution = resolution
-
-        def transform(self, ll):
-            x = ll[:, 0:1]
-            y  = ll[:, 1:2]
-
-            return np.concatenate((x, y+x), 1)
-        transform.__doc__ = Transform.transform.__doc__
-
-        def inverted(self):
-            return MyTransform(self._resolution)
-        inverted.__doc__ = Transform.inverted.__doc__
-
-
-
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1)
-    fig.clf()
-    tr = MyTransform(1)
-    grid_helper = GridHelperCurveLinear(tr)
-
-
-    from mpl_toolkits.axes_grid1.parasite_axes import host_subplot_class_factory
-    from .axislines import Axes
-
-    SubplotHost = host_subplot_class_factory(Axes)
-
-    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
-
-    fig.add_subplot(ax1)
-
-    ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
-    ax1.parasites.append(ax2)
-    ax2.plot([3, 6], [5.0, 10.])
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(0, 10)
-    ax1.set_ylim(0, 10)
-
-    ax1.grid(True)
-    plt.draw()
-
-
-
-def curvelinear_test2(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-    global ax1
-    import numpy as np
-    from . import angle_helper
-    from matplotlib.projections import PolarAxes
-    from matplotlib.transforms import Affine2D
-
-    from mpl_toolkits.axes_grid.parasite_axes import SubplotHost, \
-         ParasiteAxesAuxTrans
-    import matplotlib.cbook as cbook
-
-    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
-    # system in degree
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    # polar projection, which involves cycle, and also has limits in
-    # its coordinates, needs a special method to find the extremes
-    # (min, max of the coordinate within the view).
-
-    # 20, 20 : number of sampling points along x, y direction
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle = 360,
-                                                     lat_cycle = None,
-                                                     lon_minmax = None,
-                                                     lat_minmax = (0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(5)
-    # Find a grid values appropriate for the coordinate (degree,
-    # minute, second).
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-    # And also uses an appropriate formatter.  Note that,the
-    # acceptable Locator and Formatter class is a bit different than
-    # that of mpl's, and you cannot directly use mpl's Locator and
-    # Formatter here (but may be possible in the future).
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-
-    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
-
-    # make ticklabels of right and top axis visible.
-    ax1.axis["right"].major_ticklabels.set_visible(True)
-    ax1.axis["top"].major_ticklabels.set_visible(True)
-
-    # let right axis shows ticklabels for 1st coordinate (angle)
-    ax1.axis["right"].get_helper().nth_coord_ticks=0
-    # let bottom axis shows ticklabels for 2nd coordinate (radius)
-    ax1.axis["bottom"].get_helper().nth_coord_ticks=1
-
-    fig.add_subplot(ax1)
-
-    grid_helper = ax1.get_grid_helper()
-    ax1.axis["lat"] = axis = grid_helper.new_floating_axis(0, 60, axes=ax1)
-    axis.label.set_text("Test")
-    axis.label.set_visible(True)
-    #axis._extremes = 2, 10
-    #axis.label.set_text("Test")
-    #axis.major_ticklabels.set_visible(False)
-    #axis.major_ticks.set_visible(False)
-    axis.get_helper()._extremes=2, 10
-
-    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(1, 6, axes=ax1)
-    #axis.major_ticklabels.set_visible(False)
-    #axis.major_ticks.set_visible(False)
-    axis.label.set_text("Test 2")
-    axis.get_helper()._extremes=-180, 90
-
-    # A parasite axes with given transform
-    ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
-    # note that ax2.transData == tr + ax1.transData
-    # Anthing you draw in ax2 will match the ticks and grids of ax1.
-    ax1.parasites.append(ax2)
-    intp = cbook.simple_linear_interpolation
-    ax2.plot(intp(np.array([0, 30]), 50),
-             intp(np.array([10., 10.]), 50))
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    ax1.grid(True)
-
-
-def curvelinear_test3(fig):
-    """
-    polar projection, but in a rectangular box.
-    """
-    global ax1, axis
-    import numpy as np
-    from . import angle_helper
-    from matplotlib.projections import PolarAxes
-    from matplotlib.transforms import Affine2D
-
-    from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
-
-    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
-    # system in degree
-    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
-
-    # polar projection, which involves cycle, and also has limits in
-    # its coordinates, needs a special method to find the extremes
-    # (min, max of the coordinate within the view).
-
-    # 20, 20 : number of sampling points along x, y direction
-    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
-                                                     lon_cycle = 360,
-                                                     lat_cycle = None,
-                                                     lon_minmax = None,
-                                                     lat_minmax = (0, np.inf),
-                                                     )
-
-    grid_locator1 = angle_helper.LocatorDMS(12)
-    # Find a grid values appropriate for the coordinate (degree,
-    # minute, second).
-
-    tick_formatter1 = angle_helper.FormatterDMS()
-    # And also uses an appropriate formatter.  Note that,the
-    # acceptable Locator and Formatter class is a bit different than
-    # that of mpl's, and you cannot directly use mpl's Locator and
-    # Formatter here (but may be possible in the future).
-
-    grid_helper = GridHelperCurveLinear(tr,
-                                        extreme_finder=extreme_finder,
-                                        grid_locator1=grid_locator1,
-                                        tick_formatter1=tick_formatter1
-                                        )
-
-
-    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
-
-    for axis in list(six.itervalues(ax1.axis)):
-        axis.set_visible(False)
-
-    fig.add_subplot(ax1)
-
-    grid_helper = ax1.get_grid_helper()
-    ax1.axis["lat1"] = axis = grid_helper.new_floating_axis(0, 130,
-                                                            axes=ax1,
-                                                            axis_direction="left"
-                                                            )
-    axis.label.set_text("Test")
-    axis.label.set_visible(True)
-    axis.get_helper()._extremes=0.001, 10
-
-
-
-    grid_helper = ax1.get_grid_helper()
-    ax1.axis["lat2"] = axis = grid_helper.new_floating_axis(0, 50, axes=ax1,
-                                                            axis_direction="right")
-    axis.label.set_text("Test")
-    axis.label.set_visible(True)
-    axis.get_helper()._extremes=0.001, 10
-
-    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(1, 10,
-                                                           axes=ax1,
-                                                           axis_direction="bottom")
-    axis.label.set_text("Test 2")
-    axis.get_helper()._extremes= 50, 130
-    axis.major_ticklabels.set_axis_direction("top")
-    axis.label.set_axis_direction("top")
-
-    grid_helper.grid_finder.grid_locator1.den = 5
-    grid_helper.grid_finder.grid_locator2._nbins = 5
-
-
-#     # A parasite axes with given transform
-#     ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
-#     # note that ax2.transData == tr + ax1.transData
-#     # Anthing you draw in ax2 will match the ticks and grids of ax1.
-#     ax1.parasites.append(ax2)
-#     intp = cbook.simple_linear_interpolation
-#     ax2.plot(intp(np.array([0, 30]), 50),
-#              intp(np.array([10., 10.]), 50))
-
-    ax1.set_aspect(1.)
-    ax1.set_xlim(-5, 12)
-    ax1.set_ylim(-5, 10)
-
-    ax1.grid(True)
-
-if __name__ == "__main__":
-    import matplotlib.pyplot as plt
-    fig = plt.figure(1, figsize=(5, 5))
-    fig.clf()
-
-    #test3()
-    #curvelinear_test2(fig)
-    curvelinear_test3(fig)
-
-    #plt.draw()
-    plt.show()
diff --git a/lib/mpl_toolkits/axisartist/meson.build b/lib/mpl_toolkits/axisartist/meson.build
new file mode 100644
index 000000000000..6d95cf0dfdcd
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/meson.build
@@ -0,0 +1,16 @@
+python_sources = [
+  '__init__.py',
+  'angle_helper.py',
+  'axes_divider.py',
+  'axis_artist.py',
+  'axislines.py',
+  'axisline_style.py',
+  'floating_axes.py',
+  'grid_finder.py',
+  'grid_helper_curvelinear.py',
+  'parasite_axes.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/axisartist')
+
+subdir('tests')
diff --git a/lib/mpl_toolkits/axisartist/parasite_axes.py b/lib/mpl_toolkits/axisartist/parasite_axes.py
new file mode 100644
index 000000000000..4ebd6acc03be
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/parasite_axes.py
@@ -0,0 +1,7 @@
+from mpl_toolkits.axes_grid1.parasite_axes import (
+    host_axes_class_factory, parasite_axes_class_factory)
+from .axislines import Axes
+
+
+ParasiteAxes = parasite_axes_class_factory(Axes)
+HostAxes = SubplotHost = host_axes_class_factory(Axes)
diff --git a/lib/mpl_toolkits/axisartist/tests/__init__.py b/lib/mpl_toolkits/axisartist/tests/__init__.py
new file mode 100644
index 000000000000..ea4d8ed16a6a
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/__init__.py
@@ -0,0 +1,10 @@
+from pathlib import Path
+
+
+# Check that the test directories exist
+if not (Path(__file__).parent / "baseline_images").exists():
+    raise OSError(
+        'The baseline image directory does not exist. '
+        'This is most likely because the test data is not installed. '
+        'You may need to install matplotlib from source to get the '
+        'test data.')
diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png
new file mode 100644
index 000000000000..29ddf31eb664
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_labelbase.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_labelbase.png
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index 000000000000..5d362e779069
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_ticklabels.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_ticklabels.png
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index 000000000000..f79611c4e1ba
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_ticks.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_ticks.png
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index 000000000000..e73f28643e74
Binary files /dev/null and b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist_ticks.png differ
diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/ParasiteAxesAuxTrans_meshplot.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/ParasiteAxesAuxTrans_meshplot.png
new file mode 100644
index 000000000000..ffff4806d18e
Binary files /dev/null and b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/ParasiteAxesAuxTrans_meshplot.png differ
diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/Subplot.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/Subplot.png
new file mode 100644
index 000000000000..83c6b147da99
Binary files /dev/null and b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/Subplot.png differ
diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/SubplotZero.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/SubplotZero.png
new file mode 100644
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Binary files /dev/null and b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/SubplotZero.png differ
diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style.png
new file mode 100644
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style_size_color.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style_size_color.png
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style_tight.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/axisline_style_tight.png
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/subplotzero_ylabel.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axislines/subplotzero_ylabel.png
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diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_grid_helper_curvelinear/polar_box.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_grid_helper_curvelinear/polar_box.png
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diff --git a/lib/mpl_toolkits/axisartist/tests/conftest.py b/lib/mpl_toolkits/axisartist/tests/conftest.py
new file mode 100644
index 000000000000..61c2de3e07ba
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/conftest.py
@@ -0,0 +1,2 @@
+from matplotlib.testing.conftest import (mpl_test_settings,  # noqa
+                                         pytest_configure, pytest_unconfigure)
diff --git a/lib/mpl_toolkits/axisartist/tests/meson.build b/lib/mpl_toolkits/axisartist/tests/meson.build
new file mode 100644
index 000000000000..634c8190a037
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/meson.build
@@ -0,0 +1,17 @@
+python_sources = [
+  '__init__.py',
+  'conftest.py',
+  'test_angle_helper.py',
+  'test_axis_artist.py',
+  'test_axislines.py',
+  'test_floating_axes.py',
+  'test_grid_finder.py',
+  'test_grid_helper_curvelinear.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/axisartist/tests')
+
+install_subdir(
+  'baseline_images',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'mpl_toolkits/axisartist/tests'))
diff --git a/lib/mpl_toolkits/axisartist/tests/test_angle_helper.py b/lib/mpl_toolkits/axisartist/tests/test_angle_helper.py
new file mode 100644
index 000000000000..3156b33b69c4
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_angle_helper.py
@@ -0,0 +1,141 @@
+import re
+
+import numpy as np
+import pytest
+
+from mpl_toolkits.axisartist.angle_helper import (
+    FormatterDMS, FormatterHMS, select_step, select_step24, select_step360)
+
+
+_MS_RE = (
+    r'''\$  # Mathtext
+        (
+            # The sign sometimes appears on a 0 when a fraction is shown.
+            # Check later that there's only one.
+            (?P<degree_sign>-)?
+            (?P<degree>[0-9.]+)  # Degrees value
+            {degree}  # Degree symbol (to be replaced by format.)
+        )?
+        (
+            (?(degree)\\,)  # Separator if degrees are also visible.
+            (?P<minute_sign>-)?
+            (?P<minute>[0-9.]+)  # Minutes value
+            {minute}  # Minute symbol (to be replaced by format.)
+        )?
+        (
+            (?(minute)\\,)  # Separator if minutes are also visible.
+            (?P<second_sign>-)?
+            (?P<second>[0-9.]+)  # Seconds value
+            {second}  # Second symbol (to be replaced by format.)
+        )?
+        \$  # Mathtext
+    '''
+)
+DMS_RE = re.compile(_MS_RE.format(degree=re.escape(FormatterDMS.deg_mark),
+                                  minute=re.escape(FormatterDMS.min_mark),
+                                  second=re.escape(FormatterDMS.sec_mark)),
+                    re.VERBOSE)
+HMS_RE = re.compile(_MS_RE.format(degree=re.escape(FormatterHMS.deg_mark),
+                                  minute=re.escape(FormatterHMS.min_mark),
+                                  second=re.escape(FormatterHMS.sec_mark)),
+                    re.VERBOSE)
+
+
+def dms2float(degrees, minutes=0, seconds=0):
+    return degrees + minutes / 60.0 + seconds / 3600.0
+
+
+@pytest.mark.parametrize('args, kwargs, expected_levels, expected_factor', [
+    ((-180, 180, 10), {'hour': False}, np.arange(-180, 181, 30), 1.0),
+    ((-12, 12, 10), {'hour': True}, np.arange(-12, 13, 2), 1.0)
+])
+def test_select_step(args, kwargs, expected_levels, expected_factor):
+    levels, n, factor = select_step(*args, **kwargs)
+
+    assert n == len(levels)
+    np.testing.assert_array_equal(levels, expected_levels)
+    assert factor == expected_factor
+
+
+@pytest.mark.parametrize('args, kwargs, expected_levels, expected_factor', [
+    ((-180, 180, 10), {}, np.arange(-180, 181, 30), 1.0),
+    ((-12, 12, 10), {}, np.arange(-750, 751, 150), 60.0)
+])
+def test_select_step24(args, kwargs, expected_levels, expected_factor):
+    levels, n, factor = select_step24(*args, **kwargs)
+
+    assert n == len(levels)
+    np.testing.assert_array_equal(levels, expected_levels)
+    assert factor == expected_factor
+
+
+@pytest.mark.parametrize('args, kwargs, expected_levels, expected_factor', [
+    ((dms2float(20, 21.2), dms2float(21, 33.3), 5), {},
+     np.arange(1215, 1306, 15), 60.0),
+    ((dms2float(20.5, seconds=21.2), dms2float(20.5, seconds=33.3), 5), {},
+     np.arange(73820, 73835, 2), 3600.0),
+    ((dms2float(20, 21.2), dms2float(20, 53.3), 5), {},
+     np.arange(1220, 1256, 5), 60.0),
+    ((21.2, 33.3, 5), {},
+     np.arange(20, 35, 2), 1.0),
+    ((dms2float(20, 21.2), dms2float(21, 33.3), 5), {},
+     np.arange(1215, 1306, 15), 60.0),
+    ((dms2float(20.5, seconds=21.2), dms2float(20.5, seconds=33.3), 5), {},
+     np.arange(73820, 73835, 2), 3600.0),
+    ((dms2float(20.5, seconds=21.2), dms2float(20.5, seconds=21.4), 5), {},
+     np.arange(7382120, 7382141, 5), 360000.0),
+    # test threshold factor
+    ((dms2float(20.5, seconds=11.2), dms2float(20.5, seconds=53.3), 5),
+     {'threshold_factor': 60}, np.arange(12301, 12310), 600.0),
+    ((dms2float(20.5, seconds=11.2), dms2float(20.5, seconds=53.3), 5),
+     {'threshold_factor': 1}, np.arange(20502, 20517, 2), 1000.0),
+])
+def test_select_step360(args, kwargs, expected_levels, expected_factor):
+    levels, n, factor = select_step360(*args, **kwargs)
+
+    assert n == len(levels)
+    np.testing.assert_array_equal(levels, expected_levels)
+    assert factor == expected_factor
+
+
+@pytest.mark.parametrize('Formatter, regex',
+                         [(FormatterDMS, DMS_RE),
+                          (FormatterHMS, HMS_RE)],
+                         ids=['Degree/Minute/Second', 'Hour/Minute/Second'])
+@pytest.mark.parametrize('direction, factor, values', [
+    ("left", 60, [0, -30, -60]),
+    ("left", 600, [12301, 12302, 12303]),
+    ("left", 3600, [0, -30, -60]),
+    ("left", 36000, [738210, 738215, 738220]),
+    ("left", 360000, [7382120, 7382125, 7382130]),
+    ("left", 1., [45, 46, 47]),
+    ("left", 10., [452, 453, 454]),
+])
+def test_formatters(Formatter, regex, direction, factor, values):
+    fmt = Formatter()
+    result = fmt(direction, factor, values)
+
+    prev_degree = prev_minute = prev_second = None
+    for tick, value in zip(result, values):
+        m = regex.match(tick)
+        assert m is not None, f'{tick!r} is not an expected tick format.'
+
+        sign = sum(m.group(sign + '_sign') is not None
+                   for sign in ('degree', 'minute', 'second'))
+        assert sign <= 1, f'Only one element of tick {tick!r} may have a sign.'
+        sign = 1 if sign == 0 else -1
+
+        degree = float(m.group('degree') or prev_degree or 0)
+        minute = float(m.group('minute') or prev_minute or 0)
+        second = float(m.group('second') or prev_second or 0)
+        if Formatter == FormatterHMS:
+            # 360 degrees as plot range -> 24 hours as labelled range
+            expected_value = pytest.approx((value // 15) / factor)
+        else:
+            expected_value = pytest.approx(value / factor)
+        assert sign * dms2float(degree, minute, second) == expected_value, \
+            f'{tick!r} does not match expected tick value.'
+
+        prev_degree = degree
+        prev_minute = minute
+        prev_second = second
diff --git a/lib/mpl_toolkits/axisartist/tests/test_axis_artist.py b/lib/mpl_toolkits/axisartist/tests/test_axis_artist.py
new file mode 100644
index 000000000000..d44a61b6dd4a
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_axis_artist.py
@@ -0,0 +1,99 @@
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+
+from mpl_toolkits.axisartist import AxisArtistHelperRectlinear
+from mpl_toolkits.axisartist.axis_artist import (AxisArtist, AxisLabel,
+                                                 LabelBase, Ticks, TickLabels)
+
+
+@image_comparison(['axis_artist_ticks.png'], style='default')
+def test_ticks():
+    fig, ax = plt.subplots()
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+    locs_angles = [((i / 10, 0.0), i * 30) for i in range(-1, 12)]
+
+    ticks_in = Ticks(ticksize=10, axis=ax.xaxis)
+    ticks_in.set_locs_angles(locs_angles)
+    ax.add_artist(ticks_in)
+
+    ticks_out = Ticks(ticksize=10, tick_out=True, color='C3', axis=ax.xaxis)
+    ticks_out.set_locs_angles(locs_angles)
+    ax.add_artist(ticks_out)
+
+
+@image_comparison(['axis_artist_labelbase.png'], style='default')
+def test_labelbase():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, ax = plt.subplots()
+
+    ax.plot([0.5], [0.5], "o")
+
+    label = LabelBase(0.5, 0.5, "Test")
+    label._ref_angle = -90
+    label._offset_radius = 50
+    label.set_rotation(-90)
+    label.set(ha="center", va="top")
+    ax.add_artist(label)
+
+
+@image_comparison(['axis_artist_ticklabels.png'], style='default')
+def test_ticklabels():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, ax = plt.subplots()
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+    ax.plot([0.2, 0.4], [0.5, 0.5], "o")
+
+    ticks = Ticks(ticksize=10, axis=ax.xaxis)
+    ax.add_artist(ticks)
+    locs_angles_labels = [((0.2, 0.5), -90, "0.2"),
+                          ((0.4, 0.5), -120, "0.4")]
+    tick_locs_angles = [(xy, a + 180) for xy, a, l in locs_angles_labels]
+    ticks.set_locs_angles(tick_locs_angles)
+
+    ticklabels = TickLabels(axis_direction="left")
+    ticklabels._locs_angles_labels = locs_angles_labels
+    ticklabels.set_pad(10)
+    ax.add_artist(ticklabels)
+
+    ax.plot([0.5], [0.5], "s")
+    axislabel = AxisLabel(0.5, 0.5, "Test")
+    axislabel._offset_radius = 20
+    axislabel._ref_angle = 0
+    axislabel.set_axis_direction("bottom")
+    ax.add_artist(axislabel)
+
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+
+
+@image_comparison(['axis_artist.png'], style='default')
+def test_axis_artist():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, ax = plt.subplots()
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+    for loc in ('left', 'right', 'bottom'):
+        helper = AxisArtistHelperRectlinear.Fixed(ax, loc=loc)
+        axisline = AxisArtist(ax, helper, offset=None, axis_direction=loc)
+        ax.add_artist(axisline)
+
+    # Settings for bottom AxisArtist.
+    axisline.set_label("TTT")
+    axisline.major_ticks.set_tick_out(False)
+    axisline.label.set_pad(5)
+
+    ax.set_ylabel("Test")
diff --git a/lib/mpl_toolkits/axisartist/tests/test_axislines.py b/lib/mpl_toolkits/axisartist/tests/test_axislines.py
new file mode 100644
index 000000000000..8bc3707421b6
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_axislines.py
@@ -0,0 +1,145 @@
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+from matplotlib.transforms import IdentityTransform
+
+from mpl_toolkits.axisartist.axislines import AxesZero, SubplotZero, Subplot
+from mpl_toolkits.axisartist import Axes, SubplotHost
+
+
+@image_comparison(['SubplotZero.png'], style='default')
+def test_SubplotZero():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure()
+
+    ax = SubplotZero(fig, 1, 1, 1)
+    fig.add_subplot(ax)
+
+    ax.axis["xzero"].set_visible(True)
+    ax.axis["xzero"].label.set_text("Axis Zero")
+
+    for n in ["top", "right"]:
+        ax.axis[n].set_visible(False)
+
+    xx = np.arange(0, 2 * np.pi, 0.01)
+    ax.plot(xx, np.sin(xx))
+    ax.set_ylabel("Test")
+
+
+@image_comparison(['Subplot.png'], style='default')
+def test_Subplot():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure()
+
+    ax = Subplot(fig, 1, 1, 1)
+    fig.add_subplot(ax)
+
+    xx = np.arange(0, 2 * np.pi, 0.01)
+    ax.plot(xx, np.sin(xx))
+    ax.set_ylabel("Test")
+
+    ax.axis["top"].major_ticks.set_tick_out(True)
+    ax.axis["bottom"].major_ticks.set_tick_out(True)
+
+    ax.axis["bottom"].set_label("Tk0")
+
+
+def test_Axes():
+    fig = plt.figure()
+    ax = Axes(fig, [0.15, 0.1, 0.65, 0.8])
+    fig.add_axes(ax)
+    ax.plot([1, 2, 3], [0, 1, 2])
+    ax.set_xscale('log')
+    fig.canvas.draw()
+
+
+@image_comparison(['ParasiteAxesAuxTrans_meshplot.png'],
+                  remove_text=True, style='default', tol=0.075)
+def test_ParasiteAxesAuxTrans():
+    data = np.ones((6, 6))
+    data[2, 2] = 2
+    data[0, :] = 0
+    data[-2, :] = 0
+    data[:, 0] = 0
+    data[:, -2] = 0
+    x = np.arange(6)
+    y = np.arange(6)
+    xx, yy = np.meshgrid(x, y)
+
+    funcnames = ['pcolor', 'pcolormesh', 'contourf']
+
+    fig = plt.figure()
+    for i, name in enumerate(funcnames):
+
+        ax1 = SubplotHost(fig, 1, 3, i+1)
+        fig.add_subplot(ax1)
+
+        ax2 = ax1.get_aux_axes(IdentityTransform(), viewlim_mode=None)
+        if name.startswith('pcolor'):
+            getattr(ax2, name)(xx, yy, data[:-1, :-1])
+        else:
+            getattr(ax2, name)(xx, yy, data)
+        ax1.set_xlim((0, 5))
+        ax1.set_ylim((0, 5))
+
+    ax2.contour(xx, yy, data, colors='k')
+
+
+@image_comparison(['axisline_style.png'], remove_text=True, style='mpl20')
+def test_axisline_style():
+    fig = plt.figure(figsize=(2, 2))
+    ax = fig.add_subplot(axes_class=AxesZero)
+    ax.axis["xzero"].set_axisline_style("-|>")
+    ax.axis["xzero"].set_visible(True)
+    ax.axis["yzero"].set_axisline_style("->")
+    ax.axis["yzero"].set_visible(True)
+
+    for direction in ("left", "right", "bottom", "top"):
+        ax.axis[direction].set_visible(False)
+
+
+@image_comparison(['axisline_style_size_color.png'], remove_text=True,
+                  style='mpl20')
+def test_axisline_style_size_color():
+    fig = plt.figure(figsize=(2, 2))
+    ax = fig.add_subplot(axes_class=AxesZero)
+    ax.axis["xzero"].set_axisline_style("-|>", size=2.0, facecolor='r')
+    ax.axis["xzero"].set_visible(True)
+    ax.axis["yzero"].set_axisline_style("->, size=1.5")
+    ax.axis["yzero"].set_visible(True)
+
+    for direction in ("left", "right", "bottom", "top"):
+        ax.axis[direction].set_visible(False)
+
+
+@image_comparison(['axisline_style_tight.png'], remove_text=True,
+                  style='mpl20')
+def test_axisline_style_tight():
+    fig = plt.figure(figsize=(2, 2), layout='tight')
+    ax = fig.add_subplot(axes_class=AxesZero)
+    ax.axis["xzero"].set_axisline_style("-|>", size=5, facecolor='g')
+    ax.axis["xzero"].set_visible(True)
+    ax.axis["yzero"].set_axisline_style("->, size=8")
+    ax.axis["yzero"].set_visible(True)
+
+    for direction in ("left", "right", "bottom", "top"):
+        ax.axis[direction].set_visible(False)
+
+
+@image_comparison(['subplotzero_ylabel.png'], style='mpl20')
+def test_subplotzero_ylabel():
+    fig = plt.figure()
+    ax = fig.add_subplot(111, axes_class=SubplotZero)
+
+    ax.set(xlim=(-3, 7), ylim=(-3, 7), xlabel="x", ylabel="y")
+
+    zero_axis = ax.axis["xzero", "yzero"]
+    zero_axis.set_visible(True)  # they are hidden by default
+
+    ax.axis["left", "right", "bottom", "top"].set_visible(False)
+
+    zero_axis.set_axisline_style("->")
diff --git a/lib/mpl_toolkits/axisartist/tests/test_floating_axes.py b/lib/mpl_toolkits/axisartist/tests/test_floating_axes.py
new file mode 100644
index 000000000000..feb667af013e
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_floating_axes.py
@@ -0,0 +1,143 @@
+import numpy as np
+
+import pytest
+
+import matplotlib.pyplot as plt
+import matplotlib.projections as mprojections
+import matplotlib.transforms as mtransforms
+from matplotlib.testing.decorators import image_comparison
+from mpl_toolkits.axisartist.axislines import Subplot
+from mpl_toolkits.axisartist.floating_axes import (
+    FloatingAxes, GridHelperCurveLinear)
+from mpl_toolkits.axisartist.grid_finder import FixedLocator
+from mpl_toolkits.axisartist import angle_helper
+
+
+def test_subplot():
+    fig = plt.figure(figsize=(5, 5))
+    ax = Subplot(fig, 111)
+    fig.add_subplot(ax)
+
+
+# Rather high tolerance to allow ongoing work with floating axes internals;
+# remove when image is regenerated.
+@image_comparison(['curvelinear3.png'], style='default', tol=5)
+def test_curvelinear3():
+    fig = plt.figure(figsize=(5, 5))
+
+    tr = (mtransforms.Affine2D().scale(np.pi / 180, 1) +
+          mprojections.PolarAxes.PolarTransform())
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extremes=(0, 360, 10, 3),
+        grid_locator1=angle_helper.LocatorDMS(15),
+        grid_locator2=FixedLocator([2, 4, 6, 8, 10]),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=None)
+    ax1 = fig.add_subplot(axes_class=FloatingAxes, grid_helper=grid_helper)
+
+    r_scale = 10
+    tr2 = mtransforms.Affine2D().scale(1, 1 / r_scale) + tr
+    grid_helper2 = GridHelperCurveLinear(
+        tr2,
+        extremes=(0, 360, 10 * r_scale, 3 * r_scale),
+        grid_locator2=FixedLocator([30, 60, 90]))
+
+    ax1.axis["right"] = axis = grid_helper2.new_fixed_axis("right", axes=ax1)
+
+    ax1.axis["left"].label.set_text("Test 1")
+    ax1.axis["right"].label.set_text("Test 2")
+    ax1.axis["left", "right"].set_visible(False)
+
+    axis = grid_helper.new_floating_axis(1, 7, axes=ax1,
+                                         axis_direction="bottom")
+    ax1.axis["z"] = axis
+    axis.toggle(all=True, label=True)
+    axis.label.set_text("z = ?")
+    axis.label.set_visible(True)
+    axis.line.set_color("0.5")
+
+    ax2 = ax1.get_aux_axes(tr)
+
+    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
+    ax2.scatter(xx, yy)
+    l, = ax2.plot(xx, yy, "k-")
+    l.set_clip_path(ax1.patch)
+
+
+# Rather high tolerance to allow ongoing work with floating axes internals;
+# remove when image is regenerated.
+@image_comparison(['curvelinear4.png'], style='default', tol=0.9)
+def test_curvelinear4():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure(figsize=(5, 5))
+
+    tr = (mtransforms.Affine2D().scale(np.pi / 180, 1) +
+          mprojections.PolarAxes.PolarTransform())
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extremes=(120, 30, 10, 0),
+        grid_locator1=angle_helper.LocatorDMS(5),
+        grid_locator2=FixedLocator([2, 4, 6, 8, 10]),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=None)
+    ax1 = fig.add_subplot(axes_class=FloatingAxes, grid_helper=grid_helper)
+    ax1.clear()  # Check that clear() also restores the correct limits on ax1.
+
+    ax1.axis["left"].label.set_text("Test 1")
+    ax1.axis["right"].label.set_text("Test 2")
+    ax1.axis["top"].set_visible(False)
+
+    axis = grid_helper.new_floating_axis(1, 70, axes=ax1,
+                                         axis_direction="bottom")
+    ax1.axis["z"] = axis
+    axis.toggle(all=True, label=True)
+    axis.label.set_axis_direction("top")
+    axis.label.set_text("z = ?")
+    axis.label.set_visible(True)
+    axis.line.set_color("0.5")
+
+    ax2 = ax1.get_aux_axes(tr)
+
+    xx, yy = [67, 90, 75, 30], [2, 5, 8, 4]
+    ax2.scatter(xx, yy)
+    l, = ax2.plot(xx, yy, "k-")
+    l.set_clip_path(ax1.patch)
+
+
+def test_axis_direction():
+    # Check that axis direction is propagated on a floating axis
+    fig = plt.figure()
+    ax = Subplot(fig, 111)
+    fig.add_subplot(ax)
+    ax.axis['y'] = ax.new_floating_axis(nth_coord=1, value=0,
+                                        axis_direction='left')
+    assert ax.axis['y']._axis_direction == 'left'
+
+
+def test_transform_with_zero_derivatives():
+    # The transform is really a 45° rotation
+    #     tr(x, y) = x-y, x+y; inv_tr(u, v) = (u+v)/2, (u-v)/2
+    # with an additional x->exp(-x**-2) on each coordinate.
+    # Therefore all ticks should be at +/-45°, even the one at zero where the
+    # transform derivatives are zero.
+
+    # at x=0, exp(-x**-2)=0; div-by-zero can be ignored.
+    @np.errstate(divide="ignore")
+    def tr(x, y):
+        return np.exp(-x**-2) - np.exp(-y**-2), np.exp(-x**-2) + np.exp(-y**-2)
+
+    def inv_tr(u, v):
+        return (-np.log((u+v)/2))**(1/2), (-np.log((v-u)/2))**(1/2)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(
+        axes_class=FloatingAxes, grid_helper=GridHelperCurveLinear(
+            (tr, inv_tr), extremes=(0, 10, 0, 10)))
+    fig.canvas.draw()
+
+    for k in ax.axis:
+        for l, a in ax.axis[k].major_ticks.locs_angles:
+            assert a % 90 == pytest.approx(45, abs=1e-3)
diff --git a/lib/mpl_toolkits/axisartist/tests/test_grid_finder.py b/lib/mpl_toolkits/axisartist/tests/test_grid_finder.py
new file mode 100644
index 000000000000..6b397675ee10
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_grid_finder.py
@@ -0,0 +1,34 @@
+import numpy as np
+import pytest
+
+from matplotlib.transforms import Bbox
+from mpl_toolkits.axisartist.grid_finder import (
+    _find_line_box_crossings, FormatterPrettyPrint, MaxNLocator)
+
+
+def test_find_line_box_crossings():
+    x = np.array([-3, -2, -1, 0., 1, 2, 3, 2, 1, 0, -1, -2, -3, 5])
+    y = np.arange(len(x))
+    bbox = Bbox.from_extents(-2, 3, 2, 12.5)
+    left, right, bottom, top = _find_line_box_crossings(
+        np.column_stack([x, y]), bbox)
+    ((lx0, ly0), la0), ((lx1, ly1), la1), = left
+    ((rx0, ry0), ra0), ((rx1, ry1), ra1), = right
+    ((bx0, by0), ba0), = bottom
+    ((tx0, ty0), ta0), = top
+    assert (lx0, ly0, la0) == (-2, 11, 135)
+    assert (lx1, ly1, la1) == pytest.approx((-2., 12.125, 7.125016))
+    assert (rx0, ry0, ra0) == (2, 5, 45)
+    assert (rx1, ry1, ra1) == (2, 7, 135)
+    assert (bx0, by0, ba0) == (0, 3, 45)
+    assert (tx0, ty0, ta0) == pytest.approx((1., 12.5, 7.125016))
+
+
+def test_pretty_print_format():
+    locator = MaxNLocator()
+    locs, nloc, factor = locator(0, 100)
+
+    fmt = FormatterPrettyPrint()
+
+    assert fmt("left", None, locs) == \
+        [r'$\mathdefault{%d}$' % (l, ) for l in locs]
diff --git a/lib/mpl_toolkits/axisartist/tests/test_grid_helper_curvelinear.py b/lib/mpl_toolkits/axisartist/tests/test_grid_helper_curvelinear.py
new file mode 100644
index 000000000000..7d6554782fe6
--- /dev/null
+++ b/lib/mpl_toolkits/axisartist/tests/test_grid_helper_curvelinear.py
@@ -0,0 +1,205 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+from matplotlib.path import Path
+from matplotlib.projections import PolarAxes
+from matplotlib.ticker import FuncFormatter
+from matplotlib.transforms import Affine2D, Transform
+from matplotlib.testing.decorators import image_comparison
+
+from mpl_toolkits.axisartist import SubplotHost
+from mpl_toolkits.axes_grid1.parasite_axes import host_axes_class_factory
+from mpl_toolkits.axisartist import angle_helper
+from mpl_toolkits.axisartist.axislines import Axes
+from mpl_toolkits.axisartist.grid_helper_curvelinear import \
+    GridHelperCurveLinear
+
+
+@image_comparison(['custom_transform.png'], style='default', tol=0.2)
+def test_custom_transform():
+    class MyTransform(Transform):
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            """
+            Resolution is the number of steps to interpolate between each input
+            line segment to approximate its path in transformed space.
+            """
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform(self, ll):
+            x, y = ll.T
+            return np.column_stack([x, y - x])
+
+        transform_non_affine = transform
+
+        def transform_path(self, path):
+            ipath = path.interpolated(self._resolution)
+            return Path(self.transform(ipath.vertices), ipath.codes)
+
+        transform_path_non_affine = transform_path
+
+        def inverted(self):
+            return MyTransformInv(self._resolution)
+
+    class MyTransformInv(Transform):
+        input_dims = output_dims = 2
+
+        def __init__(self, resolution):
+            Transform.__init__(self)
+            self._resolution = resolution
+
+        def transform(self, ll):
+            x, y = ll.T
+            return np.column_stack([x, y + x])
+
+        def inverted(self):
+            return MyTransform(self._resolution)
+
+    fig = plt.figure()
+
+    SubplotHost = host_axes_class_factory(Axes)
+
+    tr = MyTransform(1)
+    grid_helper = GridHelperCurveLinear(tr)
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+    fig.add_subplot(ax1)
+
+    ax2 = ax1.get_aux_axes(tr, viewlim_mode="equal")
+    ax2.plot([3, 6], [5.0, 10.])
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(0, 10)
+    ax1.set_ylim(0, 10)
+
+    ax1.grid(True)
+
+
+@image_comparison(['polar_box.png'], style='default', tol=0.04)
+def test_polar_box():
+    fig = plt.figure(figsize=(5, 5))
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = Affine2D().scale(np.pi / 180., 1.) + PolarAxes.PolarTransform()
+
+    # polar projection, which involves cycle, and also has limits in
+    # its coordinates, needs a special method to find the extremes
+    # (min, max of the coordinate within the view).
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf))
+
+    grid_helper = GridHelperCurveLinear(
+        tr,
+        extreme_finder=extreme_finder,
+        grid_locator1=angle_helper.LocatorDMS(12),
+        tick_formatter1=angle_helper.FormatterDMS(),
+        tick_formatter2=FuncFormatter(lambda x, p: "eight" if x == 8 else f"{int(x)}"),
+    )
+
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+
+    ax1.axis["right"].major_ticklabels.set_visible(True)
+    ax1.axis["top"].major_ticklabels.set_visible(True)
+
+    # let right axis shows ticklabels for 1st coordinate (angle)
+    ax1.axis["right"].get_helper().nth_coord_ticks = 0
+    # let bottom axis shows ticklabels for 2nd coordinate (radius)
+    ax1.axis["bottom"].get_helper().nth_coord_ticks = 1
+
+    fig.add_subplot(ax1)
+
+    ax1.axis["lat"] = axis = grid_helper.new_floating_axis(0, 45, axes=ax1)
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(2, 12)
+
+    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(1, 6, axes=ax1)
+    axis.label.set_text("Test 2")
+    axis.get_helper().set_extremes(-180, 90)
+
+    # A parasite axes with given transform
+    ax2 = ax1.get_aux_axes(tr, viewlim_mode="equal")
+    assert ax2.transData == tr + ax1.transData
+    # Anything you draw in ax2 will match the ticks and grids of ax1.
+    ax2.plot(np.linspace(0, 30, 50), np.linspace(10, 10, 50))
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-5, 12)
+    ax1.set_ylim(-5, 10)
+
+    ax1.grid(True)
+
+
+# Remove tol & kerning_factor when this test image is regenerated.
+@image_comparison(['axis_direction.png'], style='default', tol=0.13)
+def test_axis_direction():
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig = plt.figure(figsize=(5, 5))
+
+    # PolarAxes.PolarTransform takes radian. However, we want our coordinate
+    # system in degree
+    tr = Affine2D().scale(np.pi / 180., 1.) + PolarAxes.PolarTransform()
+
+    # polar projection, which involves cycle, and also has limits in
+    # its coordinates, needs a special method to find the extremes
+    # (min, max of the coordinate within the view).
+
+    # 20, 20 : number of sampling points along x, y direction
+    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
+                                                     lon_cycle=360,
+                                                     lat_cycle=None,
+                                                     lon_minmax=None,
+                                                     lat_minmax=(0, np.inf),
+                                                     )
+
+    grid_locator1 = angle_helper.LocatorDMS(12)
+    tick_formatter1 = angle_helper.FormatterDMS()
+
+    grid_helper = GridHelperCurveLinear(tr,
+                                        extreme_finder=extreme_finder,
+                                        grid_locator1=grid_locator1,
+                                        tick_formatter1=tick_formatter1)
+
+    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)
+
+    for axis in ax1.axis.values():
+        axis.set_visible(False)
+
+    fig.add_subplot(ax1)
+
+    ax1.axis["lat1"] = axis = grid_helper.new_floating_axis(
+        0, 130,
+        axes=ax1, axis_direction="left")
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(0.001, 10)
+
+    ax1.axis["lat2"] = axis = grid_helper.new_floating_axis(
+        0, 50,
+        axes=ax1, axis_direction="right")
+    axis.label.set_text("Test")
+    axis.label.set_visible(True)
+    axis.get_helper().set_extremes(0.001, 10)
+
+    ax1.axis["lon"] = axis = grid_helper.new_floating_axis(
+        1, 10,
+        axes=ax1, axis_direction="bottom")
+    axis.label.set_text("Test 2")
+    axis.get_helper().set_extremes(50, 130)
+    axis.major_ticklabels.set_axis_direction("top")
+    axis.label.set_axis_direction("top")
+
+    grid_helper.grid_finder.grid_locator1.set_params(nbins=5)
+    grid_helper.grid_finder.grid_locator2.set_params(nbins=5)
+
+    ax1.set_aspect(1.)
+    ax1.set_xlim(-8, 8)
+    ax1.set_ylim(-4, 12)
+
+    ax1.grid(True)
diff --git a/lib/mpl_toolkits/exceltools.py b/lib/mpl_toolkits/exceltools.py
deleted file mode 100644
index 74da93f1ad21..000000000000
--- a/lib/mpl_toolkits/exceltools.py
+++ /dev/null
@@ -1,143 +0,0 @@
-"""
-Some io tools for excel -- requires xlwt
-
-Example usage:
-
-    import matplotlib.mlab as mlab
-    import mpl_toolkits.exceltools as exceltools
-
-    r = mlab.csv2rec('somefile.csv', checkrows=0)
-
-    formatd = dict(
-        weight = mlab.FormatFloat(2),
-        change = mlab.FormatPercent(2),
-        cost   = mlab.FormatThousands(2),
-        )
-
-
-    exceltools.rec2excel(r, 'test.xls', formatd=formatd)
-    mlab.rec2csv(r, 'test.csv', formatd=formatd)
-
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import copy
-import numpy as np
-
-import xlwt as excel
-
-import matplotlib.cbook as cbook
-import matplotlib.mlab as mlab
-
-
-def xlformat_factory(format):
-    """
-    copy the format, perform any overrides, and attach an xlstyle instance
-    copied format is returned
-    """
-
-    #if we have created an excel format already using this format,
-    #don't recreate it; mlab.FormatObj override has to make objs with
-    #the same props hash to the same value
-    key = hash(format)
-    fmt_ = xlformat_factory.created_formats.get(key)
-    if fmt_ is not None:
-        return fmt_
-
-    format = copy.deepcopy(format)
-
-    xlstyle = excel.XFStyle()
-    if isinstance(format, mlab.FormatPercent):
-       zeros = ''.join(['0']*format.precision)
-       xlstyle.num_format_str = '0.%s%%;[RED]-0.%s%%'%(zeros, zeros)
-       format.scale = 1.
-    elif isinstance(format, mlab.FormatFloat):
-        if format.precision>0:
-            zeros = ''.join(['0']*format.precision)
-            xlstyle.num_format_str = '#,##0.%s;[RED]-#,##0.%s'%(zeros, zeros)
-        else:
-            xlstyle.num_format_str = '#,##;[RED]-#,##'
-    elif isinstance(format, mlab.FormatInt):
-        xlstyle.num_format_str = '#,##;[RED]-#,##'
-    else:
-        xlstyle = None
-
-    format.xlstyle = xlstyle
-
-    xlformat_factory.created_formats[ key ] = format
-
-    return format
-
-xlformat_factory.created_formats = {}
-
-def rec2excel(r, ws, formatd=None, rownum=0, colnum=0, nanstr='NaN', infstr='Inf'):
-    """
-    save record array r to excel xlwt worksheet ws
-    starting at rownum.  if ws is string like, assume it is a
-    filename and save to it
-
-    start writing at rownum, colnum
-
-    formatd is a dictionary mapping dtype name -> mlab.Format instances
-
-    nanstr is the string that mpl will put into excel for np.nan value
-    The next rownum after writing is returned
-    """
-
-    autosave = False
-    if cbook.is_string_like(ws):
-        filename = ws
-        wb = excel.Workbook()
-        ws = wb.add_sheet('worksheet')
-        autosave = True
-
-
-    if formatd is None:
-        formatd = dict()
-
-    formats = []
-    font = excel.Font()
-    font.bold = True
-
-    stylehdr = excel.XFStyle()
-    stylehdr.font = font
-
-    for i, name in enumerate(r.dtype.names):
-        dt = r.dtype[name]
-        format = formatd.get(name)
-        if format is None:
-            format = mlab.defaultformatd.get(dt.type, mlab.FormatObj())
-
-        format = xlformat_factory(format)
-        ws.write(rownum, colnum+i, name, stylehdr)
-        formats.append(format)
-
-    rownum+=1
-
-
-    ind = np.arange(len(r.dtype.names))
-    for row in r:
-
-        for i in ind:
-            val = row[i]
-            format = formats[i]
-            val = format.toval(val)
-            if mlab.safe_isnan(val):
-                ws.write(rownum, colnum+i, nanstr)
-            elif mlab.safe_isinf(val):
-                sgn = np.sign(val)
-                if sgn>0: s = infstr
-                else: s = '-%s'%infstr
-                ws.write(rownum, colnum+i, s)
-            elif format.xlstyle is None:
-                ws.write(rownum, colnum+i, val)
-            else:
-                ws.write(rownum, colnum+i, val, format.xlstyle)
-        rownum += 1
-
-    if autosave:
-        wb.save(filename)
-    return rownum
diff --git a/lib/mpl_toolkits/gtktools.py b/lib/mpl_toolkits/gtktools.py
deleted file mode 100644
index 32f2a0933651..000000000000
--- a/lib/mpl_toolkits/gtktools.py
+++ /dev/null
@@ -1,633 +0,0 @@
-"""
-
-Some gtk specific tools and widgets
-
-   * rec2gtk          : put record array in GTK treeview - requires gtk
-
-Example usage
-
-    import matplotlib.mlab as mlab
-    import mpl_toolkits.gtktools as gtktools
-
-    r = mlab.csv2rec('somefile.csv', checkrows=0)
-
-    formatd = dict(
-        weight = mlab.FormatFloat(2),
-        change = mlab.FormatPercent(2),
-        cost   = mlab.FormatThousands(2),
-        )
-
-
-    exceltools.rec2excel(r, 'test.xls', formatd=formatd)
-    mlab.rec2csv(r, 'test.csv', formatd=formatd)
-
-
-    import gtk
-    scroll = gtktools.rec2gtk(r, formatd=formatd)
-    win = gtk.Window()
-    win.set_size_request(600,800)
-    win.add(scroll)
-    win.show_all()
-    gtk.main()
-
-"""
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import xrange, zip
-
-import copy
-import gtk, gobject
-import numpy as npy
-import matplotlib.cbook as cbook
-import matplotlib.mlab as mlab
-
-
-def error_message(msg, parent=None, title=None):
-    """
-    create an error message dialog with string msg.  Optionally set
-    the parent widget and dialog title
-    """
-
-    dialog = gtk.MessageDialog(
-        parent         = None,
-        type           = gtk.MESSAGE_ERROR,
-        buttons        = gtk.BUTTONS_OK,
-        message_format = msg)
-    if parent is not None:
-        dialog.set_transient_for(parent)
-    if title is not None:
-        dialog.set_title(title)
-    else:
-        dialog.set_title('Error!')
-    dialog.show()
-    dialog.run()
-    dialog.destroy()
-    return None
-
-def simple_message(msg, parent=None, title=None):
-    """
-    create a simple message dialog with string msg.  Optionally set
-    the parent widget and dialog title
-    """
-    dialog = gtk.MessageDialog(
-        parent         = None,
-        type           = gtk.MESSAGE_INFO,
-        buttons        = gtk.BUTTONS_OK,
-        message_format = msg)
-    if parent is not None:
-        dialog.set_transient_for(parent)
-    if title is not None:
-        dialog.set_title(title)
-    dialog.show()
-    dialog.run()
-    dialog.destroy()
-    return None
-
-
-def gtkformat_factory(format, colnum):
-    """
-    copy the format, perform any overrides, and attach an gtk style attrs
-
-
-    xalign = 0.
-    cell = None
-
-    """
-    if format is None: return None
-    format = copy.copy(format)
-    format.xalign = 0.
-    format.cell = None
-
-    def negative_red_cell(column, cell, model, thisiter):
-        val = model.get_value(thisiter, colnum)
-        try: val = float(val)
-        except: cell.set_property('foreground', 'black')
-        else:
-            if val<0:
-                cell.set_property('foreground', 'red')
-            else:
-                cell.set_property('foreground', 'black')
-
-
-    if isinstance(format, mlab.FormatFloat) or isinstance(format, mlab.FormatInt):
-        format.cell = negative_red_cell
-        format.xalign = 1.
-    elif isinstance(format, mlab.FormatDate):
-        format.xalign = 1.
-    return format
-
-
-
-class SortedStringsScrolledWindow(gtk.ScrolledWindow):
-    """
-    A simple treeview/liststore assuming all columns are strings.
-    Supports ascending/descending sort by clicking on column header
-    """
-
-    def __init__(self, colheaders, formatterd=None):
-        """
-        xalignd if not None, is a dict mapping col header to xalignent (default 1)
-
-        formatterd if not None, is a dict mapping col header to a ColumnFormatter
-        """
-
-
-        gtk.ScrolledWindow.__init__(self)
-        self.colheaders = colheaders
-        self.seq = None # not initialized with accts
-        self.set_shadow_type(gtk.SHADOW_ETCHED_IN)
-        self.set_policy(gtk.POLICY_AUTOMATIC,
-                        gtk.POLICY_AUTOMATIC)
-
-        types = [gobject.TYPE_STRING] * len(colheaders)
-        model = self.model = gtk.ListStore(*types)
-
-
-        treeview = gtk.TreeView(self.model)
-        treeview.show()
-        treeview.get_selection().set_mode(gtk.SELECTION_MULTIPLE)
-        treeview.set_rules_hint(True)
-
-
-        class Clicked:
-            def __init__(self, parent, i):
-                self.parent = parent
-                self.i = i
-                self.num = 0
-
-            def __call__(self, column):
-                ind = []
-                dsu = []
-                for rownum, thisiter in enumerate(self.parent.iters):
-                    val = model.get_value(thisiter, self.i)
-                    try: val = float(val.strip().rstrip('%'))
-                    except ValueError: pass
-                    if mlab.safe_isnan(val): val = npy.inf # force nan to sort uniquely
-                    dsu.append((val, rownum))
-                dsu.sort()
-                if not self.num%2: dsu.reverse()
-
-                vals, otherind = list(zip(*dsu))
-                ind.extend(otherind)
-
-                self.parent.model.reorder(ind)
-                newiters = []
-                for i in ind:
-                    newiters.append(self.parent.iters[i])
-                self.parent.iters = newiters[:]
-                for i, thisiter in enumerate(self.parent.iters):
-                    key = tuple([self.parent.model.get_value(thisiter, j) for j in range(len(colheaders))])
-                    self.parent.rownumd[i] = key
-
-                self.num+=1
-
-
-        if formatterd is None:
-            formatterd = dict()
-
-        formatterd = formatterd.copy()
-
-        for i, header in enumerate(colheaders):
-            renderer = gtk.CellRendererText()
-            if header not in formatterd:
-                formatterd[header] = ColumnFormatter()
-            formatter = formatterd[header]
-
-            column = gtk.TreeViewColumn(header, renderer, text=i)
-            renderer.set_property('xalign', formatter.xalign)
-            renderer.set_property('editable', True)
-            renderer.connect("edited", self.position_edited, i)
-            column.connect('clicked', Clicked(self, i))
-            column.set_property('clickable', True)
-
-            if formatter.cell is not None:
-                column.set_cell_data_func(renderer, formatter.cell)
-
-            treeview.append_column(column)
-
-
-
-        self.formatterd = formatterd
-        self.lastcol = column
-        self.add(treeview)
-        self.treeview = treeview
-        self.clear()
-
-    def position_edited(self, renderer, path, newtext, position):
-        #print path, position
-        self.model[path][position] = newtext
-
-    def clear(self):
-        self.iterd = dict()
-        self.iters = []        # an ordered list of iters
-        self.rownumd = dict()  # a map from rownum -> symbol
-        self.model.clear()
-        self.datad = dict()
-
-
-    def flat(self, row):
-        seq = []
-        for i,val in enumerate(row):
-            formatter = self.formatterd.get(self.colheaders[i])
-            seq.extend([i,formatter.tostr(val)])
-        return seq
-
-    def __delete_selected(self, *unused): # untested
-
-
-        keyd = dict([(thisiter, key) for key, thisiter in self.iterd.values()])
-        for row in self.get_selected():
-            key = tuple(row)
-            thisiter = self.iterd[key]
-            self.model.remove(thisiter)
-            del self.datad[key]
-            del self.iterd[key]
-            self.iters.remove(thisiter)
-
-        for i, thisiter in enumerate(self.iters):
-            self.rownumd[i] = keyd[thisiter]
-
-
-
-    def delete_row(self, row):
-        key = tuple(row)
-        thisiter = self.iterd[key]
-        self.model.remove(thisiter)
-
-
-        del self.datad[key]
-        del self.iterd[key]
-        self.rownumd[len(self.iters)] = key
-        self.iters.remove(thisiter)
-
-        for rownum, thiskey in list(six.iteritems(self.rownumd)):
-            if thiskey==key: del self.rownumd[rownum]
-
-    def add_row(self, row):
-        thisiter = self.model.append()
-        self.model.set(thisiter, *self.flat(row))
-        key = tuple(row)
-        self.datad[key] = row
-        self.iterd[key] = thisiter
-        self.rownumd[len(self.iters)] = key
-        self.iters.append(thisiter)
-
-    def update_row(self, rownum, newrow):
-        key = self.rownumd[rownum]
-        thisiter = self.iterd[key]
-        newkey = tuple(newrow)
-
-        self.rownumd[rownum] = newkey
-        del self.datad[key]
-        del self.iterd[key]
-        self.datad[newkey] = newrow
-        self.iterd[newkey] = thisiter
-
-
-        self.model.set(thisiter, *self.flat(newrow))
-
-    def get_row(self, rownum):
-        key = self.rownumd[rownum]
-        return self.datad[key]
-
-    def get_selected(self):
-        selected = []
-        def foreach(model, path, iter, selected):
-            selected.append(model.get_value(iter, 0))
-
-        self.treeview.get_selection().selected_foreach(foreach, selected)
-        return selected
-
-
-
-def rec2gtk(r, formatd=None, rownum=0, autowin=True):
-    """
-    formatd is a dictionary mapping dtype name -> mlab.Format instances
-
-    This function creates a SortedStringsScrolledWindow (derived
-    from gtk.ScrolledWindow) and returns it.  if autowin is True,
-    a gtk.Window is created, attached to the
-    SortedStringsScrolledWindow instance, shown and returned.  If
-    autowin=False, the caller is responsible for adding the
-    SortedStringsScrolledWindow instance to a gtk widget and
-    showing it.
-    """
-
-
-
-    if formatd is None:
-        formatd = dict()
-
-    formats = []
-    for i, name in enumerate(r.dtype.names):
-        dt = r.dtype[name]
-        format = formatd.get(name)
-        if format is None:
-            format = mlab.defaultformatd.get(dt.type, mlab.FormatObj())
-        #print 'gtk fmt factory', i, name, format, type(format)
-        format = gtkformat_factory(format, i)
-        formatd[name] = format
-
-
-    colheaders = r.dtype.names
-    scroll = SortedStringsScrolledWindow(colheaders, formatd)
-
-    ind = npy.arange(len(r.dtype.names))
-    for row in r:
-        scroll.add_row(row)
-
-
-    if autowin:
-        win = gtk.Window()
-        win.set_default_size(800,600)
-        #win.set_geometry_hints(scroll)
-        win.add(scroll)
-        win.show_all()
-        scroll.win = win
-
-    return scroll
-
-
-class RecListStore(gtk.ListStore):
-    """
-    A liststore as a model of an editable record array.
-
-    attributes:
-
-     * r - the record array with the edited values
-
-     * formatd - the list of mlab.FormatObj instances, with gtk attachments
-
-     * stringd - a dict mapping dtype names to a list of valid strings for the combo drop downs
-
-     * callbacks - a matplotlib.cbook.CallbackRegistry.  Connect to the cell_changed with
-
-        def mycallback(liststore, rownum, colname, oldval, newval):
-           print('verify: old=%s, new=%s, rec=%s'%(oldval, newval, liststore.r[rownum][colname]))
-
-        cid = liststore.callbacks.connect('cell_changed', mycallback)
-
-        """
-    def __init__(self, r, formatd=None, stringd=None):
-        """
-        r is a numpy record array
-
-        formatd is a dict mapping dtype name to mlab.FormatObj instances
-
-        stringd, if not None, is a dict mapping dtype names to a list of
-        valid strings for a combo drop down editor
-        """
-
-        if stringd is None:
-            stringd = dict()
-
-        if formatd is None:
-            formatd = mlab.get_formatd(r)
-
-        self.stringd = stringd
-        self.callbacks = cbook.CallbackRegistry(['cell_changed'])
-
-        self.r = r
-
-        self.headers = r.dtype.names
-        self.formats = [gtkformat_factory(formatd.get(name, mlab.FormatObj()),i)
-                        for i,name in enumerate(self.headers)]
-
-        # use the gtk attached versions
-        self.formatd = formatd = dict(zip(self.headers, self.formats))
-        types = []
-        for format in self.formats:
-            if isinstance(format, mlab.FormatBool):
-                types.append(gobject.TYPE_BOOLEAN)
-            else:
-                types.append(gobject.TYPE_STRING)
-
-        self.combod = dict()
-        if len(stringd):
-            types.extend([gobject.TYPE_INT]*len(stringd))
-
-            keys = list(six.iterkeys(stringd))
-            keys.sort()
-
-            valid = set(r.dtype.names)
-            for ikey, key in enumerate(keys):
-                assert(key in valid)
-                combostore = gtk.ListStore(gobject.TYPE_STRING)
-                for s in stringd[key]:
-                    combostore.append([s])
-                self.combod[key] = combostore, len(self.headers)+ikey
-
-
-        gtk.ListStore.__init__(self, *types)
-
-        for row in r:
-            vals = []
-            for formatter, val in zip(self.formats, row):
-                if isinstance(formatter, mlab.FormatBool):
-                    vals.append(val)
-                else:
-                    vals.append(formatter.tostr(val))
-            if len(stringd):
-                # todo, get correct index here?
-                vals.extend([0]*len(stringd))
-            self.append(vals)
-
-
-    def position_edited(self, renderer, path, newtext, position):
-
-        position = int(position)
-        format = self.formats[position]
-
-        rownum = int(path)
-        colname = self.headers[position]
-        oldval = self.r[rownum][colname]
-        try: newval = format.fromstr(newtext)
-        except ValueError:
-            msg = cbook.exception_to_str('Error converting "%s"'%newtext)
-            error_message(msg, title='Error')
-            return
-        self.r[rownum][colname] = newval
-
-        self[path][position] = format.tostr(newval)
-
-
-        self.callbacks.process('cell_changed', self, rownum, colname, oldval, newval)
-
-    def position_toggled(self, cellrenderer, path, position):
-        position = int(position)
-        format = self.formats[position]
-
-        newval = not cellrenderer.get_active()
-
-        rownum = int(path)
-        colname = self.headers[position]
-        oldval = self.r[rownum][colname]
-        self.r[rownum][colname] = newval
-
-        self[path][position] = newval
-
-        self.callbacks.process('cell_changed', self, rownum, colname, oldval, newval)
-
-
-
-
-
-class RecTreeView(gtk.TreeView):
-    """
-    An editable tree view widget for record arrays
-    """
-    def __init__(self, recliststore, constant=None):
-        """
-        build a gtk.TreeView to edit a RecListStore
-
-        constant, if not None, is a list of dtype names which are not editable
-        """
-        self.recliststore = recliststore
-
-        gtk.TreeView.__init__(self, recliststore)
-
-        combostrings = set(recliststore.stringd.keys())
-
-
-        if constant is None:
-            constant = []
-
-        constant = set(constant)
-
-        for i, header in enumerate(recliststore.headers):
-            formatter = recliststore.formatd[header]
-            coltype =  recliststore.get_column_type(i)
-
-            if coltype==gobject.TYPE_BOOLEAN:
-                renderer = gtk.CellRendererToggle()
-                if header not in constant:
-                    renderer.connect("toggled", recliststore.position_toggled, i)
-                    renderer.set_property('activatable', True)
-
-            elif header in combostrings:
-                 renderer = gtk.CellRendererCombo()
-                 renderer.connect("edited", recliststore.position_edited, i)
-                 combostore, listind = recliststore.combod[header]
-                 renderer.set_property("model", combostore)
-                 renderer.set_property('editable', True)
-            else:
-                renderer = gtk.CellRendererText()
-                if header not in constant:
-                    renderer.connect("edited", recliststore.position_edited, i)
-                    renderer.set_property('editable', True)
-
-
-                if formatter is not None:
-                    renderer.set_property('xalign', formatter.xalign)
-
-
-
-            tvcol = gtk.TreeViewColumn(header)
-            self.append_column(tvcol)
-            tvcol.pack_start(renderer, True)
-
-            if coltype == gobject.TYPE_STRING:
-                tvcol.add_attribute(renderer, 'text', i)
-                if header in combostrings:
-                    combostore, listind = recliststore.combod[header]
-                    tvcol.add_attribute(renderer, 'text-column', listind)
-            elif coltype == gobject.TYPE_BOOLEAN:
-                tvcol.add_attribute(renderer, 'active', i)
-
-
-            if formatter is not None and formatter.cell is not None:
-                tvcol.set_cell_data_func(renderer, formatter.cell)
-
-
-
-
-        self.connect("button-release-event", self.on_selection_changed)
-        #self.set_grid_lines(gtk.TREE_VIEW_GRID_LINES_BOTH)
-
-        self.get_selection().set_mode(gtk.SELECTION_BROWSE)
-        self.get_selection().set_select_function(self.on_select)
-
-
-    def on_select(self, *args):
-        return False
-
-    def on_selection_changed(self, *args):
-        (path, col) = self.get_cursor()
-        ren = col.get_cell_renderers()[0]
-        if isinstance(ren, gtk.CellRendererText):
-            self.set_cursor_on_cell(path, col, ren, start_editing=True)
-
-def edit_recarray(r, formatd=None, stringd=None, constant=None, autowin=True):
-    """
-    create a RecListStore and RecTreeView and return them.
-
-    If autowin is True, create a gtk.Window, insert the treeview into
-    it, and return it (return value will be (liststore, treeview, win)
-
-    See RecListStore and RecTreeView for a description of the keyword args
-    """
-
-    liststore = RecListStore(r, formatd=formatd, stringd=stringd)
-    treeview = RecTreeView(liststore, constant=constant)
-
-    if autowin:
-        win = gtk.Window()
-        win.add(treeview)
-        win.show_all()
-        return liststore, treeview, win
-    else:
-        return liststore, treeview
-
-
-
-
-if __name__=='__main__':
-
-    import datetime
-    import gtk
-    import numpy as np
-    import matplotlib.mlab as mlab
-    N = 10
-    today = datetime.date.today()
-    dates = [today+datetime.timedelta(days=i) for i in range(N)] # datetimes
-    weekdays = [d.strftime('%a') for d in dates]                 # strings
-    gains = np.random.randn(N)                                   # floats
-    prices = np.random.rand(N)*1e7                               # big numbers
-    up = gains>0                                                 # bools
-    clientid = list(xrange(N))                                   # ints
-
-    r = np.rec.fromarrays([clientid, dates, weekdays, gains, prices, up],
-                          names='clientid,date,weekdays,gains,prices,up')
-
-    # some custom formatters
-    formatd = mlab.get_formatd(r)
-    formatd['date'] = mlab.FormatDate('%Y-%m-%d')
-    formatd['prices'] = mlab.FormatMillions(precision=1)
-    formatd['gain'] = mlab.FormatPercent(precision=2)
-
-    # use a drop down combo for weekdays
-    stringd = dict(weekdays=['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'])
-    constant = ['clientid']   # block editing of this field
-
-
-    liststore = RecListStore(r, formatd=formatd, stringd=stringd)
-    treeview = RecTreeView(liststore, constant=constant)
-
-    def mycallback(liststore, rownum, colname, oldval, newval):
-        print('verify: old=%s, new=%s, rec=%s'%(oldval, newval, liststore.r[rownum][colname]))
-
-    liststore.callbacks.connect('cell_changed', mycallback)
-
-    win = gtk.Window()
-    win.set_title('with full customization')
-    win.add(treeview)
-    win.show_all()
-
-    # or you just use the defaults
-    r2 = r.copy()
-    ls, tv, win2 = edit_recarray(r2)
-    win2.set_title('with all defaults')
-
-    gtk.main()
diff --git a/lib/mpl_toolkits/meson.build b/lib/mpl_toolkits/meson.build
new file mode 100644
index 000000000000..290cd6139f94
--- /dev/null
+++ b/lib/mpl_toolkits/meson.build
@@ -0,0 +1,3 @@
+subdir('axes_grid1')
+subdir('axisartist')
+subdir('mplot3d')
diff --git a/lib/mpl_toolkits/mplot3d/__init__.py b/lib/mpl_toolkits/mplot3d/__init__.py
index cd9c2139d277..a089fbd6b70e 100644
--- a/lib/mpl_toolkits/mplot3d/__init__.py
+++ b/lib/mpl_toolkits/mplot3d/__init__.py
@@ -1,6 +1,3 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
 from .axes3d import Axes3D
+
+__all__ = ['Axes3D']
diff --git a/lib/mpl_toolkits/mplot3d/art3d.py b/lib/mpl_toolkits/mplot3d/art3d.py
old mode 100755
new mode 100644
index 6381a685239f..483fd09be163
--- a/lib/mpl_toolkits/mplot3d/art3d.py
+++ b/lib/mpl_toolkits/mplot3d/art3d.py
@@ -1,47 +1,63 @@
-#!/usr/bin/python
 # art3d.py, original mplot3d version by John Porter
 # Parts rewritten by Reinier Heeres <reinier@heeres.eu>
 # Minor additions by Ben Axelrod <baxelrod@coroware.com>
 
-'''
+"""
 Module containing 3D artist code and functions to convert 2D
 artists into 3D versions which can be added to an Axes3D.
-'''
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-from six.moves import zip
-
-from matplotlib import lines, text as mtext, path as mpath, colors as mcolors
-from matplotlib import artist
-from matplotlib.collections import Collection, LineCollection, \
-        PolyCollection, PatchCollection, PathCollection
-from matplotlib.cm import ScalarMappable
-from matplotlib.patches import Patch
-from matplotlib.colors import Normalize
-from matplotlib.cbook import iterable
+"""
 
-import warnings
-import numpy as np
 import math
+
+import numpy as np
+
+from contextlib import contextmanager
+
+from matplotlib import (
+    _api, artist, cbook, colors as mcolors, lines, text as mtext,
+    path as mpath, rcParams)
+from matplotlib.collections import (
+    Collection, LineCollection, PolyCollection, PatchCollection, PathCollection)
+from matplotlib.patches import Patch
 from . import proj3d
 
-def norm_angle(a):
-    """Return angle between -180 and +180"""
+
+def _norm_angle(a):
+    """Return the given angle normalized to -180 < *a* <= 180 degrees."""
     a = (a + 360) % 360
     if a > 180:
         a = a - 360
     return a
 
-def norm_text_angle(a):
-    """Return angle between -90 and +90"""
+
+def _norm_text_angle(a):
+    """Return the given angle normalized to -90 < *a* <= 90 degrees."""
     a = (a + 180) % 180
     if a > 90:
         a = a - 180
     return a
 
+
 def get_dir_vector(zdir):
+    """
+    Return a direction vector.
+
+    Parameters
+    ----------
+    zdir : {'x', 'y', 'z', None, 3-tuple}
+        The direction. Possible values are:
+
+        - 'x': equivalent to (1, 0, 0)
+        - 'y': equivalent to (0, 1, 0)
+        - 'z': equivalent to (0, 0, 1)
+        - *None*: equivalent to (0, 0, 0)
+        - an iterable (x, y, z) is converted to an array
+
+    Returns
+    -------
+    x, y, z : array
+        The direction vector.
+    """
     if zdir == 'x':
         return np.array((1, 0, 0))
     elif zdir == 'y':
@@ -50,244 +66,611 @@ def get_dir_vector(zdir):
         return np.array((0, 0, 1))
     elif zdir is None:
         return np.array((0, 0, 0))
-    elif iterable(zdir) and len(zdir) == 3:
-        return zdir
+    elif np.iterable(zdir) and len(zdir) == 3:
+        return np.array(zdir)
     else:
         raise ValueError("'x', 'y', 'z', None or vector of length 3 expected")
 
+
+def _viewlim_mask(xs, ys, zs, axes):
+    """
+    Return the mask of the points outside the axes view limits.
+
+    Parameters
+    ----------
+    xs, ys, zs : array-like
+        The points to mask.
+    axes : Axes3D
+        The axes to use for the view limits.
+
+    Returns
+    -------
+    mask : np.array
+        The mask of the points as a bool array.
+    """
+    mask = np.logical_or.reduce((xs < axes.xy_viewLim.xmin,
+                                 xs > axes.xy_viewLim.xmax,
+                                 ys < axes.xy_viewLim.ymin,
+                                 ys > axes.xy_viewLim.ymax,
+                                 zs < axes.zz_viewLim.xmin,
+                                 zs > axes.zz_viewLim.xmax))
+    return mask
+
+
 class Text3D(mtext.Text):
-    '''
-    Text object with 3D position and (in the future) direction.
-    '''
-
-    def __init__(self, x=0, y=0, z=0, text='', zdir='z', **kwargs):
-        '''
-        *x*, *y*, *z*  Position of text
-        *text*         Text string to display
-        *zdir*         Direction of text
-
-        Keyword arguments are passed onto :func:`~matplotlib.text.Text`.
-        '''
+    """
+    Text object with 3D position and direction.
+
+    Parameters
+    ----------
+    x, y, z : float
+        The position of the text.
+    text : str
+        The text string to display.
+    zdir : {'x', 'y', 'z', None, 3-tuple}
+        The direction of the text. See `.get_dir_vector` for a description of
+        the values.
+    axlim_clip : bool, default: False
+        Whether to hide text outside the axes view limits.
+
+        .. versionadded:: 3.10
+
+    Other Parameters
+    ----------------
+    **kwargs
+         All other parameters are passed on to `~matplotlib.text.Text`.
+    """
+
+    def __init__(self, x=0, y=0, z=0, text='', zdir='z', axlim_clip=False,
+                 **kwargs):
         mtext.Text.__init__(self, x, y, text, **kwargs)
-        self.set_3d_properties(z, zdir)
+        self.set_3d_properties(z, zdir, axlim_clip)
+
+    def get_position_3d(self):
+        """Return the (x, y, z) position of the text."""
+        return self._x, self._y, self._z
+
+    def set_position_3d(self, xyz, zdir=None):
+        """
+        Set the (*x*, *y*, *z*) position of the text.
+
+        Parameters
+        ----------
+        xyz : (float, float, float)
+            The position in 3D space.
+        zdir : {'x', 'y', 'z', None, 3-tuple}
+            The direction of the text. If unspecified, the *zdir* will not be
+            changed. See `.get_dir_vector` for a description of the values.
+        """
+        super().set_position(xyz[:2])
+        self.set_z(xyz[2])
+        if zdir is not None:
+            self._dir_vec = get_dir_vector(zdir)
+
+    def set_z(self, z):
+        """
+        Set the *z* position of the text.
 
-    def set_3d_properties(self, z=0, zdir='z'):
-        x, y = self.get_position()
-        self._position3d = np.array((x, y, z))
+        Parameters
+        ----------
+        z : float
+        """
+        self._z = z
+        self.stale = True
+
+    def set_3d_properties(self, z=0, zdir='z', axlim_clip=False):
+        """
+        Set the *z* position and direction of the text.
+
+        Parameters
+        ----------
+        z : float
+            The z-position in 3D space.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            The direction of the text. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide text outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        self._z = z
         self._dir_vec = get_dir_vector(zdir)
+        self._axlim_clip = axlim_clip
+        self.stale = True
 
+    @artist.allow_rasterization
     def draw(self, renderer):
-        proj = proj3d.proj_trans_points([self._position3d, \
-                self._position3d + self._dir_vec], renderer.M)
+        if self._axlim_clip:
+            mask = _viewlim_mask(self._x, self._y, self._z, self.axes)
+            pos3d = np.ma.array([self._x, self._y, self._z],
+                                mask=mask, dtype=float).filled(np.nan)
+        else:
+            pos3d = np.array([self._x, self._y, self._z], dtype=float)
+
+        proj = proj3d._proj_trans_points([pos3d, pos3d + self._dir_vec], self.axes.M)
         dx = proj[0][1] - proj[0][0]
         dy = proj[1][1] - proj[1][0]
-        if dx==0. and dy==0.:
-            # atan2 raises ValueError: math domain error on 0,0
-            angle = 0.
-        else:
-            angle = math.degrees(math.atan2(dy, dx))
-        self.set_position((proj[0][0], proj[1][0]))
-        self.set_rotation(norm_text_angle(angle))
-        mtext.Text.draw(self, renderer)
+        angle = math.degrees(math.atan2(dy, dx))
+        with cbook._setattr_cm(self, _x=proj[0][0], _y=proj[1][0],
+                               _rotation=_norm_text_angle(angle)):
+            mtext.Text.draw(self, renderer)
+        self.stale = False
 
-def text_2d_to_3d(obj, z=0, zdir='z'):
-    """Convert a Text to a Text3D object."""
+    def get_tightbbox(self, renderer=None):
+        # Overwriting the 2d Text behavior which is not valid for 3d.
+        # For now, just return None to exclude from layout calculation.
+        return None
+
+
+def text_2d_to_3d(obj, z=0, zdir='z', axlim_clip=False):
+    """
+    Convert a `.Text` to a `.Text3D` object.
+
+    Parameters
+    ----------
+    z : float
+        The z-position in 3D space.
+    zdir : {'x', 'y', 'z', 3-tuple}
+        The direction of the text. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    axlim_clip : bool, default: False
+        Whether to hide text outside the axes view limits.
+
+        .. versionadded:: 3.10
+    """
     obj.__class__ = Text3D
-    obj.set_3d_properties(z, zdir)
+    obj.set_3d_properties(z, zdir, axlim_clip)
+
 
 class Line3D(lines.Line2D):
-    '''
+    """
     3D line object.
-    '''
 
-    def __init__(self, xs, ys, zs, *args, **kwargs):
-        '''
-        Keyword arguments are passed onto :func:`~matplotlib.lines.Line2D`.
-        '''
-        lines.Line2D.__init__(self, [], [], *args, **kwargs)
-        self._verts3d = xs, ys, zs
+    .. note:: Use `get_data_3d` to obtain the data associated with the line.
+            `~.Line2D.get_data`, `~.Line2D.get_xdata`, and `~.Line2D.get_ydata` return
+            the x- and y-coordinates of the projected 2D-line, not the x- and y-data of
+            the 3D-line. Similarly, use `set_data_3d` to set the data, not
+            `~.Line2D.set_data`, `~.Line2D.set_xdata`, and `~.Line2D.set_ydata`.
+    """
+
+    def __init__(self, xs, ys, zs, *args, axlim_clip=False, **kwargs):
+        """
+
+        Parameters
+        ----------
+        xs : array-like
+            The x-data to be plotted.
+        ys : array-like
+            The y-data to be plotted.
+        zs : array-like
+            The z-data to be plotted.
+        *args, **kwargs
+            Additional arguments are passed to `~matplotlib.lines.Line2D`.
+        """
+        super().__init__([], [], *args, **kwargs)
+        self.set_data_3d(xs, ys, zs)
+        self._axlim_clip = axlim_clip
 
-    def set_3d_properties(self, zs=0, zdir='z'):
+    def set_3d_properties(self, zs=0, zdir='z', axlim_clip=False):
+        """
+        Set the *z* position and direction of the line.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location along the *zdir* axis in 3D space to position the
+            line.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot line orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide lines with an endpoint outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
         xs = self.get_xdata()
         ys = self.get_ydata()
-
-        try:
-            # If *zs* is a list or array, then this will fail and
-            # just proceed to juggle_axes().
-            zs = float(zs)
-            zs = [zs for x in xs]
-        except TypeError:
-            pass
+        zs = cbook._to_unmasked_float_array(zs).ravel()
+        zs = np.broadcast_to(zs, len(xs))
         self._verts3d = juggle_axes(xs, ys, zs, zdir)
+        self._axlim_clip = axlim_clip
+        self.stale = True
+
+    def set_data_3d(self, *args):
+        """
+        Set the x, y and z data
+
+        Parameters
+        ----------
+        x : array-like
+            The x-data to be plotted.
+        y : array-like
+            The y-data to be plotted.
+        z : array-like
+            The z-data to be plotted.
+
+        Notes
+        -----
+        Accepts x, y, z arguments or a single array-like (x, y, z)
+        """
+        if len(args) == 1:
+            args = args[0]
+        for name, xyz in zip('xyz', args):
+            if not np.iterable(xyz):
+                raise RuntimeError(f'{name} must be a sequence')
+        self._verts3d = args
+        self.stale = True
+
+    def get_data_3d(self):
+        """
+        Get the current data
+
+        Returns
+        -------
+        verts3d : length-3 tuple or array-like
+            The current data as a tuple or array-like.
+        """
+        return self._verts3d
 
+    @artist.allow_rasterization
     def draw(self, renderer):
-        xs3d, ys3d, zs3d = self._verts3d
-        xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, renderer.M)
+        if self._axlim_clip:
+            mask = np.broadcast_to(
+                _viewlim_mask(*self._verts3d, self.axes),
+                (len(self._verts3d), *self._verts3d[0].shape)
+            )
+            xs3d, ys3d, zs3d = np.ma.array(self._verts3d,
+                                           dtype=float, mask=mask).filled(np.nan)
+        else:
+            xs3d, ys3d, zs3d = self._verts3d
+        xs, ys, zs, tis = proj3d._proj_transform_clip(xs3d, ys3d, zs3d,
+                                                      self.axes.M,
+                                                      self.axes._focal_length)
         self.set_data(xs, ys)
-        lines.Line2D.draw(self, renderer)
+        super().draw(renderer)
+        self.stale = False
+
+
+def line_2d_to_3d(line, zs=0, zdir='z', axlim_clip=False):
+    """
+    Convert a `.Line2D` to a `.Line3D` object.
+
+    Parameters
+    ----------
+    zs : float
+        The location along the *zdir* axis in 3D space to position the line.
+    zdir : {'x', 'y', 'z'}
+        Plane to plot line orthogonal to. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    axlim_clip : bool, default: False
+        Whether to hide lines with an endpoint outside the axes view limits.
+
+        .. versionadded:: 3.10
+    """
 
-def line_2d_to_3d(line, zs=0, zdir='z'):
-    '''
-    Convert a 2D line to 3D.
-    '''
     line.__class__ = Line3D
-    line.set_3d_properties(zs, zdir)
+    line.set_3d_properties(zs, zdir, axlim_clip)
 
-def path_to_3d_segment(path, zs=0, zdir='z'):
-    '''Convert a path to a 3D segment.'''
 
-    if not iterable(zs):
-        zs = np.ones(len(path)) * zs
+def _path_to_3d_segment(path, zs=0, zdir='z'):
+    """Convert a path to a 3D segment."""
 
-    seg = []
+    zs = np.broadcast_to(zs, len(path))
     pathsegs = path.iter_segments(simplify=False, curves=False)
-    for (((x, y), code), z) in zip(pathsegs, zs):
-        seg.append((x, y, z))
+    seg = [(x, y, z) for (((x, y), code), z) in zip(pathsegs, zs)]
     seg3d = [juggle_axes(x, y, z, zdir) for (x, y, z) in seg]
     return seg3d
 
-def paths_to_3d_segments(paths, zs=0, zdir='z'):
-    '''
-    Convert paths from a collection object to 3D segments.
-    '''
 
-    if not iterable(zs):
-        zs = np.ones(len(paths)) * zs
+def _paths_to_3d_segments(paths, zs=0, zdir='z'):
+    """Convert paths from a collection object to 3D segments."""
+
+    if not np.iterable(zs):
+        zs = np.broadcast_to(zs, len(paths))
+    else:
+        if len(zs) != len(paths):
+            raise ValueError('Number of z-coordinates does not match paths.')
+
+    segs = [_path_to_3d_segment(path, pathz, zdir)
+            for path, pathz in zip(paths, zs)]
+    return segs
+
+
+def _path_to_3d_segment_with_codes(path, zs=0, zdir='z'):
+    """Convert a path to a 3D segment with path codes."""
+
+    zs = np.broadcast_to(zs, len(path))
+    pathsegs = path.iter_segments(simplify=False, curves=False)
+    seg_codes = [((x, y, z), code) for ((x, y), code), z in zip(pathsegs, zs)]
+    if seg_codes:
+        seg, codes = zip(*seg_codes)
+        seg3d = [juggle_axes(x, y, z, zdir) for (x, y, z) in seg]
+    else:
+        seg3d = []
+        codes = []
+    return seg3d, list(codes)
+
+
+def _paths_to_3d_segments_with_codes(paths, zs=0, zdir='z'):
+    """
+    Convert paths from a collection object to 3D segments with path codes.
+    """
+
+    zs = np.broadcast_to(zs, len(paths))
+    segments_codes = [_path_to_3d_segment_with_codes(path, pathz, zdir)
+                      for path, pathz in zip(paths, zs)]
+    if segments_codes:
+        segments, codes = zip(*segments_codes)
+    else:
+        segments, codes = [], []
+    return list(segments), list(codes)
+
+
+class Collection3D(Collection):
+    """A collection of 3D paths."""
+
+    def do_3d_projection(self):
+        """Project the points according to renderer matrix."""
+        vs_list = [vs for vs, _ in self._3dverts_codes]
+        if self._axlim_clip:
+            vs_list = [np.ma.array(vs, mask=np.broadcast_to(
+                       _viewlim_mask(*vs.T, self.axes), vs.shape))
+                       for vs in vs_list]
+        xyzs_list = [proj3d.proj_transform(*vs.T, self.axes.M) for vs in vs_list]
+        self._paths = [mpath.Path(np.ma.column_stack([xs, ys]), cs)
+                       for (xs, ys, _), (_, cs) in zip(xyzs_list, self._3dverts_codes)]
+        zs = np.concatenate([zs for _, _, zs in xyzs_list])
+        return zs.min() if len(zs) else 1e9
+
+
+def collection_2d_to_3d(col, zs=0, zdir='z', axlim_clip=False):
+    """Convert a `.Collection` to a `.Collection3D` object."""
+    zs = np.broadcast_to(zs, len(col.get_paths()))
+    col._3dverts_codes = [
+        (np.column_stack(juggle_axes(
+            *np.column_stack([p.vertices, np.broadcast_to(z, len(p.vertices))]).T,
+            zdir)),
+         p.codes)
+        for p, z in zip(col.get_paths(), zs)]
+    col.__class__ = cbook._make_class_factory(Collection3D, "{}3D")(type(col))
+    col._axlim_clip = axlim_clip
 
-    segments = []
-    for path, pathz in zip(paths, zs):
-        segments.append(path_to_3d_segment(path, pathz, zdir))
-    return segments
 
 class Line3DCollection(LineCollection):
-    '''
+    """
     A collection of 3D lines.
-    '''
-
-    def __init__(self, segments, *args, **kwargs):
-        '''
-        Keyword arguments are passed onto :func:`~matplotlib.collections.LineCollection`.
-        '''
-        LineCollection.__init__(self, segments, *args, **kwargs)
+    """
+    def __init__(self, lines, axlim_clip=False, **kwargs):
+        super().__init__(lines, **kwargs)
+        self._axlim_clip = axlim_clip
+        """
+        Parameters
+        ----------
+        lines : list of (N, 3) array-like
+            A sequence ``[line0, line1, ...]`` where each line is a (N, 3)-shape
+            array-like containing points:: line0 = [(x0, y0, z0), (x1, y1, z1), ...]
+            Each line can contain a different number of points.
+        linewidths : float or list of float, default: :rc:`lines.linewidth`
+            The width of each line in points.
+        colors : :mpltype:`color` or list of color, default: :rc:`lines.color`
+            A sequence of RGBA tuples (e.g., arbitrary color strings, etc, not
+            allowed).
+        antialiaseds : bool or list of bool, default: :rc:`lines.antialiased`
+            Whether to use antialiasing for each line.
+        facecolors : :mpltype:`color` or list of :mpltype:`color`, default: 'none'
+            When setting *facecolors*, each line is interpreted as a boundary
+            for an area, implicitly closing the path from the last point to the
+            first point. The enclosed area is filled with *facecolor*.
+            In order to manually specify what should count as the "interior" of
+            each line, please use `.PathCollection` instead, where the
+            "interior" can be specified by appropriate usage of
+            `~.path.Path.CLOSEPOLY`.
+        **kwargs : Forwarded to `.Collection`.
+        """
 
-    def set_sort_zpos(self,val):
-        '''Set the position to use for z-sorting.'''
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
         self._sort_zpos = val
+        self.stale = True
 
     def set_segments(self, segments):
-        '''
-        Set 3D segments
-        '''
-        self._segments3d = np.asanyarray(segments)
-        LineCollection.set_segments(self, [])
-
-    def do_3d_projection(self, renderer):
-        '''
+        """
+        Set 3D segments.
+        """
+        self._segments3d = segments
+        super().set_segments([])
+
+    def do_3d_projection(self):
+        """
         Project the points according to renderer matrix.
-        '''
-        xyslist = [
-            proj3d.proj_trans_points(points, renderer.M) for points in
-            self._segments3d]
-        segments_2d = [list(zip(xs, ys)) for (xs, ys, zs) in xyslist]
+        """
+        segments = np.asanyarray(self._segments3d)
+
+        mask = False
+        if np.ma.isMA(segments):
+            mask = segments.mask
+
+        if self._axlim_clip:
+            viewlim_mask = _viewlim_mask(segments[..., 0],
+                                         segments[..., 1],
+                                         segments[..., 2],
+                                         self.axes)
+            if np.any(viewlim_mask):
+                # broadcast mask to 3D
+                viewlim_mask = np.broadcast_to(viewlim_mask[..., np.newaxis],
+                                               (*viewlim_mask.shape, 3))
+                mask = mask | viewlim_mask
+        xyzs = np.ma.array(proj3d._proj_transform_vectors(segments, self.axes.M),
+                           mask=mask)
+        segments_2d = xyzs[..., 0:2]
         LineCollection.set_segments(self, segments_2d)
 
         # FIXME
-        minz = 1e9
-        for (xs, ys, zs) in xyslist:
-            minz = min(minz, min(zs))
+        if len(xyzs) > 0:
+            minz = min(xyzs[..., 2].min(), 1e9)
+        else:
+            minz = np.nan
         return minz
 
-    def draw(self, renderer, project=False):
-        if project:
-            self.do_3d_projection(renderer)
-        LineCollection.draw(self, renderer)
 
-def line_collection_2d_to_3d(col, zs=0, zdir='z'):
-    """Convert a LineCollection to a Line3DCollection object."""
-    segments3d = paths_to_3d_segments(col.get_paths(), zs, zdir)
+def line_collection_2d_to_3d(col, zs=0, zdir='z', axlim_clip=False):
+    """Convert a `.LineCollection` to a `.Line3DCollection` object."""
+    segments3d = _paths_to_3d_segments(col.get_paths(), zs, zdir)
     col.__class__ = Line3DCollection
     col.set_segments(segments3d)
+    col._axlim_clip = axlim_clip
+
 
 class Patch3D(Patch):
-    '''
+    """
     3D patch object.
-    '''
-
-    def __init__(self, *args, **kwargs):
-        zs = kwargs.pop('zs', [])
-        zdir = kwargs.pop('zdir', 'z')
-        Patch.__init__(self, *args, **kwargs)
-        self.set_3d_properties(zs, zdir)
+    """
 
-    def set_3d_properties(self, verts, zs=0, zdir='z'):
-        if not iterable(zs):
-            zs = np.ones(len(verts)) * zs
+    def __init__(self, *args, zs=(), zdir='z', axlim_clip=False, **kwargs):
+        """
+        Parameters
+        ----------
+        verts :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            patch.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide patches with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir, axlim_clip)
 
-        self._segment3d = [juggle_axes(x, y, z, zdir) \
-                for ((x, y), z) in zip(verts, zs)]
-        self._facecolor3d = Patch.get_facecolor(self)
+    def set_3d_properties(self, verts, zs=0, zdir='z', axlim_clip=False):
+        """
+        Set the *z* position and direction of the patch.
+
+        Parameters
+        ----------
+        verts :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            patch.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide patches with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        zs = np.broadcast_to(zs, len(verts))
+        self._segment3d = [juggle_axes(x, y, z, zdir)
+                           for ((x, y), z) in zip(verts, zs)]
+        self._axlim_clip = axlim_clip
 
     def get_path(self):
+        # docstring inherited
+        # self._path2d is not initialized until do_3d_projection
+        if not hasattr(self, '_path2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
         return self._path2d
 
-    def get_facecolor(self):
-        return self._facecolor2d
-
-    def do_3d_projection(self, renderer):
+    def do_3d_projection(self):
         s = self._segment3d
-        xs, ys, zs = list(zip(*s))
-        vxs, vys,vzs, vis = proj3d.proj_transform_clip(xs, ys, zs, renderer.M)
-        self._path2d = mpath.Path(list(zip(vxs, vys)))
-        # FIXME: coloring
-        self._facecolor2d = self._facecolor3d
+        if self._axlim_clip:
+            mask = _viewlim_mask(*zip(*s), self.axes)
+            xs, ys, zs = np.ma.array(zip(*s),
+                                     dtype=float, mask=mask).filled(np.nan)
+        else:
+            xs, ys, zs = zip(*s)
+        vxs, vys, vzs, vis = proj3d._proj_transform_clip(xs, ys, zs,
+                                                         self.axes.M,
+                                                         self.axes._focal_length)
+        self._path2d = mpath.Path(np.ma.column_stack([vxs, vys]))
         return min(vzs)
 
-    def draw(self, renderer):
-        Patch.draw(self, renderer)
-
 
 class PathPatch3D(Patch3D):
-    '''
+    """
     3D PathPatch object.
-    '''
+    """
 
-    def __init__(self, path, **kwargs):
-        zs = kwargs.pop('zs', [])
-        zdir = kwargs.pop('zdir', 'z')
+    def __init__(self, path, *, zs=(), zdir='z', axlim_clip=False, **kwargs):
+        """
+        Parameters
+        ----------
+        path :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            path patch.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            Plane to plot path patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide path patches with a point outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        # Not super().__init__!
         Patch.__init__(self, **kwargs)
-        self.set_3d_properties(path, zs, zdir)
+        self.set_3d_properties(path, zs, zdir, axlim_clip)
 
-    def set_3d_properties(self, path, zs=0, zdir='z'):
-        Patch3D.set_3d_properties(self, path.vertices, zs=zs, zdir=zdir)
+    def set_3d_properties(self, path, zs=0, zdir='z', axlim_clip=False):
+        """
+        Set the *z* position and direction of the path patch.
+
+        Parameters
+        ----------
+        path :
+        zs : float
+            The location along the *zdir* axis in 3D space to position the
+            path patch.
+        zdir : {'x', 'y', 'z', 3-tuple}
+            Plane to plot path patch orthogonal to. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide path patches with a point outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        Patch3D.set_3d_properties(self, path.vertices, zs=zs, zdir=zdir,
+                                  axlim_clip=axlim_clip)
         self._code3d = path.codes
 
-    def do_3d_projection(self, renderer):
+    def do_3d_projection(self):
         s = self._segment3d
-        xs, ys, zs = list(zip(*s))
-        vxs, vys,vzs, vis = proj3d.proj_transform_clip(xs, ys, zs, renderer.M)
-        self._path2d = mpath.Path(list(zip(vxs, vys)), self._code3d)
-        # FIXME: coloring
-        self._facecolor2d = self._facecolor3d
+        if self._axlim_clip:
+            mask = _viewlim_mask(*zip(*s), self.axes)
+            xs, ys, zs = np.ma.array(zip(*s),
+                                     dtype=float, mask=mask).filled(np.nan)
+        else:
+            xs, ys, zs = zip(*s)
+        vxs, vys, vzs, vis = proj3d._proj_transform_clip(xs, ys, zs,
+                                                         self.axes.M,
+                                                         self.axes._focal_length)
+        self._path2d = mpath.Path(np.ma.column_stack([vxs, vys]), self._code3d)
         return min(vzs)
 
-def get_patch_verts(patch):
+
+def _get_patch_verts(patch):
     """Return a list of vertices for the path of a patch."""
     trans = patch.get_patch_transform()
-    path =  patch.get_path()
+    path = patch.get_path()
     polygons = path.to_polygons(trans)
-    if len(polygons):
-        return polygons[0]
-    else:
-        return []
+    return polygons[0] if len(polygons) else np.array([])
 
-def patch_2d_to_3d(patch, z=0, zdir='z'):
-    """Convert a Patch to a Patch3D object."""
-    verts = get_patch_verts(patch)
+
+def patch_2d_to_3d(patch, z=0, zdir='z', axlim_clip=False):
+    """Convert a `.Patch` to a `.Patch3D` object."""
+    verts = _get_patch_verts(patch)
     patch.__class__ = Patch3D
-    patch.set_3d_properties(verts, z, zdir)
+    patch.set_3d_properties(verts, z, zdir, axlim_clip)
+
 
 def pathpatch_2d_to_3d(pathpatch, z=0, zdir='z'):
-    """Convert a PathPatch to a PathPatch3D object."""
+    """Convert a `.PathPatch` to a `.PathPatch3D` object."""
     path = pathpatch.get_path()
     trans = pathpatch.get_patch_transform()
 
@@ -295,12 +678,22 @@ def pathpatch_2d_to_3d(pathpatch, z=0, zdir='z'):
     pathpatch.__class__ = PathPatch3D
     pathpatch.set_3d_properties(mpath, z, zdir)
 
+
 class Patch3DCollection(PatchCollection):
-    '''
+    """
     A collection of 3D patches.
-    '''
+    """
 
-    def __init__(self, *args, **kwargs):
+    def __init__(
+        self,
+        *args,
+        zs=0,
+        zdir="z",
+        depthshade=None,
+        depthshade_minalpha=None,
+        axlim_clip=False,
+        **kwargs
+    ):
         """
         Create a collection of flat 3D patches with its normal vector
         pointed in *zdir* direction, and located at *zs* on the *zdir*
@@ -311,63 +704,173 @@ def __init__(self, *args, **kwargs):
         :class:`~matplotlib.collections.PatchCollection`. In addition,
         keywords *zs=0* and *zdir='z'* are available.
 
-        Also, the keyword argument "depthshade" is available to
+        The keyword argument *depthshade* is available to
         indicate whether or not to shade the patches in order to
         give the appearance of depth (default is *True*).
         This is typically desired in scatter plots.
-        """
-        zs = kwargs.pop('zs', 0)
-        zdir = kwargs.pop('zdir', 'z')
-        self._depthshade = kwargs.pop('depthshade', True)
-        PatchCollection.__init__(self, *args, **kwargs)
-        self.set_3d_properties(zs, zdir)
 
+        *depthshade_minalpha* sets the minimum alpha value applied by
+        depth-shading.
+        """
+        if depthshade is None:
+            depthshade = rcParams['axes3d.depthshade']
+        if depthshade_minalpha is None:
+            depthshade_minalpha = rcParams['axes3d.depthshade_minalpha']
+        self._depthshade = depthshade
+        self._depthshade_minalpha = depthshade_minalpha
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir, axlim_clip)
+
+    def get_depthshade(self):
+        return self._depthshade
+
+    def set_depthshade(
+        self,
+        depthshade,
+        depthshade_minalpha=None,
+    ):
+        """
+        Set whether depth shading is performed on collection members.
+
+        Parameters
+        ----------
+        depthshade : bool
+            Whether to shade the patches in order to give the appearance of
+            depth.
+        depthshade_minalpha : float, default: None
+            Sets the minimum alpha value used by depth-shading.
+            If None, use the value from rcParams['axes3d.depthshade_minalpha'].
+
+            .. versionadded:: 3.11
+        """
+        if depthshade_minalpha is None:
+            depthshade_minalpha = rcParams['axes3d.depthshade_minalpha']
+        self._depthshade = depthshade
+        self._depthshade_minalpha = depthshade_minalpha
+        self.stale = True
 
-    def set_sort_zpos(self,val):
-        '''Set the position to use for z-sorting.'''
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
         self._sort_zpos = val
+        self.stale = True
 
-    def set_3d_properties(self, zs, zdir):
+    def set_3d_properties(self, zs, zdir, axlim_clip=False):
+        """
+        Set the *z* positions and direction of the patches.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location or locations to place the patches in the collection
+            along the *zdir* axis.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot patches orthogonal to.
+            All patches must have the same direction.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide patches with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
         # Force the collection to initialize the face and edgecolors
         # just in case it is a scalarmappable with a colormap.
         self.update_scalarmappable()
         offsets = self.get_offsets()
         if len(offsets) > 0:
-            xs, ys = list(zip(*offsets))
+            xs, ys = offsets.T
         else:
             xs = []
             ys = []
         self._offsets3d = juggle_axes(xs, ys, np.atleast_1d(zs), zdir)
-        self._facecolor3d = self.get_facecolor()
-        self._edgecolor3d = self.get_edgecolor()
+        self._z_markers_idx = slice(-1)
+        self._vzs = None
+        self._axlim_clip = axlim_clip
+        self.stale = True
+
+    def do_3d_projection(self):
+        if self._axlim_clip:
+            mask = _viewlim_mask(*self._offsets3d, self.axes)
+            xs, ys, zs = np.ma.array(self._offsets3d, mask=mask)
+        else:
+            xs, ys, zs = self._offsets3d
+        vxs, vys, vzs, vis = proj3d._proj_transform_clip(xs, ys, zs,
+                                                         self.axes.M,
+                                                         self.axes._focal_length)
+        self._vzs = vzs
+        if np.ma.isMA(vxs):
+            super().set_offsets(np.ma.column_stack([vxs, vys]))
+        else:
+            super().set_offsets(np.column_stack([vxs, vys]))
 
-    def do_3d_projection(self, renderer):
-        xs, ys, zs = self._offsets3d
-        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs, renderer.M)
+        if vzs.size > 0:
+            return min(vzs)
+        else:
+            return np.nan
 
-        fcs = (zalpha(self._facecolor3d, vzs) if self._depthshade else
-               self._facecolor3d)
-        fcs = mcolors.colorConverter.to_rgba_array(fcs, self._alpha)
-        self.set_facecolors(fcs)
+    def _maybe_depth_shade_and_sort_colors(self, color_array):
+        color_array = (
+            _zalpha(
+                color_array,
+                self._vzs,
+                min_alpha=self._depthshade_minalpha,
+            )
+            if self._vzs is not None and self._depthshade
+            else color_array
+        )
+        if len(color_array) > 1:
+            color_array = color_array[self._z_markers_idx]
+        return mcolors.to_rgba_array(color_array, self._alpha)
 
-        ecs = (zalpha(self._edgecolor3d, vzs) if self._depthshade else
-               self._edgecolor3d)
-        ecs = mcolors.colorConverter.to_rgba_array(ecs, self._alpha)
-        self.set_edgecolors(ecs)
-        PatchCollection.set_offsets(self, list(zip(vxs, vys)))
+    def get_facecolor(self):
+        return self._maybe_depth_shade_and_sort_colors(super().get_facecolor())
 
-        if vzs.size > 0 :
-            return min(vzs)
-        else :
-            return np.nan
+    def get_edgecolor(self):
+        # We need this check here to make sure we do not double-apply the depth
+        # based alpha shading when the edge color is "face" which means the
+        # edge colour should be identical to the face colour.
+        if cbook._str_equal(self._edgecolors, 'face'):
+            return self.get_facecolor()
+        return self._maybe_depth_shade_and_sort_colors(super().get_edgecolor())
+
+
+def _get_data_scale(X, Y, Z):
+    """
+    Estimate the scale of the 3D data for use in depth shading
+
+    Parameters
+    ----------
+    X, Y, Z : masked arrays
+        The data to estimate the scale of.
+    """
+    # Account for empty datasets. Assume that X Y and Z have the same number
+    # of elements.
+    if not np.ma.count(X):
+        return 0
+
+    # Estimate the scale using the RSS of the ranges of the dimensions
+    # Note that we don't use np.ma.ptp() because we otherwise get a build
+    # warning about handing empty arrays.
+    ptp_x = X.max() - X.min()
+    ptp_y = Y.max() - Y.min()
+    ptp_z = Z.max() - Z.min()
+    return np.sqrt(ptp_x ** 2 + ptp_y ** 2 + ptp_z ** 2)
 
 
 class Path3DCollection(PathCollection):
-    '''
+    """
     A collection of 3D paths.
-    '''
+    """
 
-    def __init__(self, *args, **kwargs):
+    def __init__(
+        self,
+        *args,
+        zs=0,
+        zdir="z",
+        depthshade=None,
+        depthshade_minalpha=None,
+        axlim_clip=False,
+        **kwargs
+    ):
         """
         Create a collection of flat 3D paths with its normal vector
         pointed in *zdir* direction, and located at *zs* on the *zdir*
@@ -378,102 +881,350 @@ def __init__(self, *args, **kwargs):
         :class:`~matplotlib.collections.PathCollection`. In addition,
         keywords *zs=0* and *zdir='z'* are available.
 
-        Also, the keyword argument "depthshade" is available to
+        Also, the keyword argument *depthshade* is available to
         indicate whether or not to shade the patches in order to
         give the appearance of depth (default is *True*).
         This is typically desired in scatter plots.
+
+        *depthshade_minalpha* sets the minimum alpha value applied by
+        depth-shading.
         """
-        zs = kwargs.pop('zs', 0)
-        zdir = kwargs.pop('zdir', 'z')
-        self._depthshade = kwargs.pop('depthshade', True)
-        PathCollection.__init__(self, *args, **kwargs)
-        self.set_3d_properties(zs, zdir)
+        if depthshade is None:
+            depthshade = rcParams['axes3d.depthshade']
+        if depthshade_minalpha is None:
+            depthshade_minalpha = rcParams['axes3d.depthshade_minalpha']
+        self._depthshade = depthshade
+        self._depthshade_minalpha = depthshade_minalpha
+        self._in_draw = False
+        super().__init__(*args, **kwargs)
+        self.set_3d_properties(zs, zdir, axlim_clip)
+        self._offset_zordered = None
+
+    def draw(self, renderer):
+        with self._use_zordered_offset():
+            with cbook._setattr_cm(self, _in_draw=True):
+                super().draw(renderer)
 
     def set_sort_zpos(self, val):
-        '''Set the position to use for z-sorting.'''
+        """Set the position to use for z-sorting."""
         self._sort_zpos = val
+        self.stale = True
 
-    def set_3d_properties(self, zs, zdir):
+    def set_3d_properties(self, zs, zdir, axlim_clip=False):
+        """
+        Set the *z* positions and direction of the paths.
+
+        Parameters
+        ----------
+        zs : float or array of floats
+            The location or locations to place the paths in the collection
+            along the *zdir* axis.
+        zdir : {'x', 'y', 'z'}
+            Plane to plot paths orthogonal to.
+            All paths must have the same direction.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide paths with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
         # Force the collection to initialize the face and edgecolors
         # just in case it is a scalarmappable with a colormap.
         self.update_scalarmappable()
         offsets = self.get_offsets()
         if len(offsets) > 0:
-            xs, ys = list(zip(*offsets))
+            xs, ys = offsets.T
         else:
             xs = []
             ys = []
+        self._zdir = zdir
         self._offsets3d = juggle_axes(xs, ys, np.atleast_1d(zs), zdir)
-        self._facecolor3d = self.get_facecolor()
-        self._edgecolor3d = self.get_edgecolor()
-
-    def do_3d_projection(self, renderer):
+        # In the base draw methods we access the attributes directly which
+        # means we cannot resolve the shuffling in the getter methods like
+        # we do for the edge and face colors.
+        #
+        # This means we need to carry around a cache of the unsorted sizes and
+        # widths (postfixed with 3d) and in `do_3d_projection` set the
+        # depth-sorted version of that data into the private state used by the
+        # base collection class in its draw method.
+        #
+        # Grab the current sizes and linewidths to preserve them.
+        self._sizes3d = self._sizes
+        self._linewidths3d = np.array(self._linewidths)
         xs, ys, zs = self._offsets3d
-        vxs, vys, vzs, vis = proj3d.proj_transform_clip(xs, ys, zs, renderer.M)
-
-        fcs = (zalpha(self._facecolor3d, vzs) if self._depthshade else
-               self._facecolor3d)
-        fcs = mcolors.colorConverter.to_rgba_array(fcs, self._alpha)
-        self.set_facecolors(fcs)
 
-        ecs = (zalpha(self._edgecolor3d, vzs) if self._depthshade else
-               self._edgecolor3d)
-        ecs = mcolors.colorConverter.to_rgba_array(ecs, self._alpha)
-        self.set_edgecolors(ecs)
-        PathCollection.set_offsets(self, list(zip(vxs, vys)))
+        # Sort the points based on z coordinates
+        # Performance optimization: Create a sorted index array and reorder
+        # points and point properties according to the index array
+        self._z_markers_idx = slice(-1)
+        self._vzs = None
+
+        self._axlim_clip = axlim_clip
+        self.stale = True
+
+    def set_sizes(self, sizes, dpi=72.0):
+        super().set_sizes(sizes, dpi)
+        if not self._in_draw:
+            self._sizes3d = sizes
+
+    def set_linewidth(self, lw):
+        super().set_linewidth(lw)
+        if not self._in_draw:
+            self._linewidths3d = np.array(self._linewidths)
+
+    def get_depthshade(self):
+        return self._depthshade
+
+    def set_depthshade(
+        self,
+        depthshade,
+        depthshade_minalpha=None,
+    ):
+        """
+        Set whether depth shading is performed on collection members.
 
-        if vzs.size > 0 :
-            return min(vzs)
-        else :
-            return np.nan
+        Parameters
+        ----------
+        depthshade : bool
+            Whether to shade the patches in order to give the appearance of
+            depth.
+        depthshade_minalpha : float
+            Sets the minimum alpha value used by depth-shading.
 
+            .. versionadded:: 3.11
+        """
+        if depthshade_minalpha is None:
+            depthshade_minalpha = rcParams['axes3d.depthshade_minalpha']
+        self._depthshade = depthshade
+        self._depthshade_minalpha = depthshade_minalpha
+        self.stale = True
+
+    def do_3d_projection(self):
+        mask = False
+        for xyz in self._offsets3d:
+            if np.ma.isMA(xyz):
+                mask = mask | xyz.mask
+        if self._axlim_clip:
+            mask = mask | _viewlim_mask(*self._offsets3d, self.axes)
+            mask = np.broadcast_to(mask,
+                                   (len(self._offsets3d), *self._offsets3d[0].shape))
+            xyzs = np.ma.array(self._offsets3d, mask=mask)
+        else:
+            xyzs = self._offsets3d
+        vxs, vys, vzs, vis = proj3d._proj_transform_clip(*xyzs,
+                                                         self.axes.M,
+                                                         self.axes._focal_length)
+        self._data_scale = _get_data_scale(vxs, vys, vzs)
+        # Sort the points based on z coordinates
+        # Performance optimization: Create a sorted index array and reorder
+        # points and point properties according to the index array
+        z_markers_idx = self._z_markers_idx = np.ma.argsort(vzs)[::-1]
+        self._vzs = vzs
+
+        # we have to special case the sizes because of code in collections.py
+        # as the draw method does
+        #      self.set_sizes(self._sizes, self.figure.dpi)
+        # so we cannot rely on doing the sorting on the way out via get_*
+
+        if len(self._sizes3d) > 1:
+            self._sizes = self._sizes3d[z_markers_idx]
+
+        if len(self._linewidths3d) > 1:
+            self._linewidths = self._linewidths3d[z_markers_idx]
+
+        PathCollection.set_offsets(self, np.ma.column_stack((vxs, vys)))
+
+        # Re-order items
+        vzs = vzs[z_markers_idx]
+        vxs = vxs[z_markers_idx]
+        vys = vys[z_markers_idx]
+
+        # Store ordered offset for drawing purpose
+        self._offset_zordered = np.ma.column_stack((vxs, vys))
+
+        return np.min(vzs) if vzs.size else np.nan
+
+    @contextmanager
+    def _use_zordered_offset(self):
+        if self._offset_zordered is None:
+            # Do nothing
+            yield
+        else:
+            # Swap offset with z-ordered offset
+            old_offset = self._offsets
+            super().set_offsets(self._offset_zordered)
+            try:
+                yield
+            finally:
+                self._offsets = old_offset
+
+    def _maybe_depth_shade_and_sort_colors(self, color_array):
+        # Adjust the color_array alpha values if point depths are defined
+        # and depth shading is active
+        if self._vzs is not None and self._depthshade:
+            color_array = _zalpha(
+                color_array,
+                self._vzs,
+                min_alpha=self._depthshade_minalpha,
+                _data_scale=self._data_scale,
+            )
+
+        # Adjust the order of the color_array using the _z_markers_idx,
+        # which has been sorted by z-depth
+        if len(color_array) > 1:
+            color_array = color_array[self._z_markers_idx]
+
+        return mcolors.to_rgba_array(color_array)
 
-def patch_collection_2d_to_3d(col, zs=0, zdir='z', depthshade=True):
+    def get_facecolor(self):
+        return self._maybe_depth_shade_and_sort_colors(super().get_facecolor())
+
+    def get_edgecolor(self):
+        # We need this check here to make sure we do not double-apply the depth
+        # based alpha shading when the edge color is "face" which means the
+        # edge colour should be identical to the face colour.
+        if cbook._str_equal(self._edgecolors, 'face'):
+            return self.get_facecolor()
+        return self._maybe_depth_shade_and_sort_colors(super().get_edgecolor())
+
+
+def patch_collection_2d_to_3d(
+    col,
+    zs=0,
+    zdir="z",
+    depthshade=None,
+    axlim_clip=False,
+    *args,
+    depthshade_minalpha=None,
+):
     """
-    Convert a :class:`~matplotlib.collections.PatchCollection` into a
-    :class:`Patch3DCollection` object
-    (or a :class:`~matplotlib.collections.PathCollection` into a
-    :class:`Path3DCollection` object).
-
-    Keywords:
-
-    *za*            The location or locations to place the patches in the
-                    collection along the *zdir* axis. Defaults to 0.
-
-    *zdir*          The axis in which to place the patches. Default is "z".
-
-    *depthshade*    Whether to shade the patches to give a sense of depth.
-                    Defaults to *True*.
-
+    Convert a `.PatchCollection` into a `.Patch3DCollection` object
+    (or a `.PathCollection` into a `.Path3DCollection` object).
+
+    Parameters
+    ----------
+    col : `~matplotlib.collections.PatchCollection` or \
+`~matplotlib.collections.PathCollection`
+        The collection to convert.
+    zs : float or array of floats
+        The location or locations to place the patches in the collection along
+        the *zdir* axis. Default: 0.
+    zdir : {'x', 'y', 'z'}
+        The axis in which to place the patches. Default: "z".
+        See `.get_dir_vector` for a description of the values.
+    depthshade : bool, default: None
+        Whether to shade the patches to give a sense of depth.
+        If None, use the value from rcParams['axes3d.depthshade'].
+    axlim_clip : bool, default: False
+        Whether to hide patches with a vertex outside the axes view limits.
+
+        .. versionadded:: 3.10
+
+    depthshade_minalpha : float, default: None
+        Sets the minimum alpha value used by depth-shading.
+        If None, use the value from rcParams['axes3d.depthshade_minalpha'].
+
+        .. versionadded:: 3.11
     """
     if isinstance(col, PathCollection):
         col.__class__ = Path3DCollection
+        col._offset_zordered = None
     elif isinstance(col, PatchCollection):
         col.__class__ = Patch3DCollection
+    if depthshade is None:
+        depthshade = rcParams['axes3d.depthshade']
+    if depthshade_minalpha is None:
+        depthshade_minalpha = rcParams['axes3d.depthshade_minalpha']
     col._depthshade = depthshade
-    col.set_3d_properties(zs, zdir)
+    col._depthshade_minalpha = depthshade_minalpha
+    col._in_draw = False
+    col.set_3d_properties(zs, zdir, axlim_clip)
+
 
 class Poly3DCollection(PolyCollection):
-    '''
+    """
     A collection of 3D polygons.
-    '''
 
-    def __init__(self, verts, *args, **kwargs):
-        '''
-        Create a Poly3DCollection.
+    .. note::
+        **Filling of 3D polygons**
 
-        *verts* should contain 3D coordinates.
+        There is no simple definition of the enclosed surface of a 3D polygon
+        unless the polygon is planar.
 
-        Keyword arguments:
-        zsort, see set_zsort for options.
+        In practice, Matplotlib fills the 2D projection of the polygon. This
+        gives a correct filling appearance only for planar polygons. For all
+        other polygons, you'll find orientations in which the edges of the
+        polygon intersect in the projection. This will lead to an incorrect
+        visualization of the 3D area.
 
-        Note that this class does a bit of magic with the _facecolors
-        and _edgecolors properties.
-        '''
+        If you need filled areas, it is recommended to create them via
+        `~mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf`, which creates a
+        triangulation and thus generates consistent surfaces.
+    """
+
+    def __init__(self, verts, *args, zsort='average', shade=False,
+                 lightsource=None, axlim_clip=False, **kwargs):
+        """
+        Parameters
+        ----------
+        verts : list of (N, 3) array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (N, 3).
+        zsort : {'average', 'min', 'max'}, default: 'average'
+            The calculation method for the z-order.
+            See `~.Poly3DCollection.set_zsort` for details.
+        shade : bool, default: False
+            Whether to shade *facecolors* and *edgecolors*. When activating
+            *shade*, *facecolors* and/or *edgecolors* must be provided.
+
+            .. versionadded:: 3.7
+
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
 
-        self.set_zsort(kwargs.pop('zsort', True))
+            .. versionadded:: 3.7
 
-        PolyCollection.__init__(self, verts, *args, **kwargs)
+        axlim_clip : bool, default: False
+            Whether to hide polygons with a vertex outside the view limits.
+
+            .. versionadded:: 3.10
+
+        *args, **kwargs
+            All other parameters are forwarded to `.PolyCollection`.
+
+        Notes
+        -----
+        Note that this class does a bit of magic with the _facecolors
+        and _edgecolors properties.
+        """
+        if shade:
+            normals = _generate_normals(verts)
+            facecolors = kwargs.get('facecolors', None)
+            if facecolors is not None:
+                kwargs['facecolors'] = _shade_colors(
+                    facecolors, normals, lightsource
+                )
+
+            edgecolors = kwargs.get('edgecolors', None)
+            if edgecolors is not None:
+                kwargs['edgecolors'] = _shade_colors(
+                    edgecolors, normals, lightsource
+                )
+            if facecolors is None and edgecolors is None:
+                raise ValueError(
+                    "You must provide facecolors, edgecolors, or both for "
+                    "shade to work.")
+        super().__init__(verts, *args, **kwargs)
+        if isinstance(verts, np.ndarray):
+            if verts.ndim != 3:
+                raise ValueError('verts must be a list of (N, 3) array-like')
+        else:
+            if any(len(np.shape(vert)) != 2 for vert in verts):
+                raise ValueError('verts must be a list of (N, 3) array-like')
+        self.set_zsort(zsort)
+        self._codes3d = None
+        self._axlim_clip = axlim_clip
 
     _zsort_functions = {
         'average': np.average,
@@ -482,179 +1233,267 @@ def __init__(self, verts, *args, **kwargs):
     }
 
     def set_zsort(self, zsort):
-        '''
-        Set z-sorting behaviour:
-            boolean: if True use default 'average'
-            string: 'average', 'min' or 'max'
-        '''
-
-        if zsort is True:
-            zsort = 'average'
-
-        if zsort is not False:
-            if zsort in self._zsort_functions:
-                zsortfunc = self._zsort_functions[zsort]
-            else:
-                return False
-        else:
-            zsortfunc = None
+        """
+        Set the calculation method for the z-order.
 
-        self._zsort = zsort
+        Parameters
+        ----------
+        zsort : {'average', 'min', 'max'}
+            The function applied on the z-coordinates of the vertices in the
+            viewer's coordinate system, to determine the z-order.
+        """
+        self._zsortfunc = self._zsort_functions[zsort]
         self._sort_zpos = None
-        self._zsortfunc = zsortfunc
+        self.stale = True
 
+    @_api.deprecated("3.10")
     def get_vector(self, segments3d):
-        """Optimize points for projection"""
-        si = 0
-        ei = 0
-        segis = []
-        points = []
-        for p in segments3d:
-            points.extend(p)
-            ei = si+len(p)
-            segis.append((si, ei))
-            si = ei
-
-        if len(segments3d) > 0 :
-            xs, ys, zs = list(zip(*points))
-        else :
-            # We need this so that we can skip the bad unpacking from zip()
-            xs, ys, zs = [], [], []
-
-        ones = np.ones(len(xs))
-        self._vec = np.array([xs, ys, zs, ones])
-        self._segis = segis
+        return self._get_vector(segments3d)
+
+    def _get_vector(self, segments3d):
+        """
+        Optimize points for projection.
+
+        Parameters
+        ----------
+        segments3d : NumPy array or list of NumPy arrays
+            List of vertices of the boundary of every segment. If all paths are
+            of equal length and this argument is a NumPy array, then it should
+            be of shape (num_faces, num_vertices, 3).
+        """
+        if isinstance(segments3d, np.ndarray):
+            _api.check_shape((None, None, 3), segments3d=segments3d)
+            if isinstance(segments3d, np.ma.MaskedArray):
+                self._faces = segments3d.data
+                self._invalid_vertices = segments3d.mask.any(axis=-1)
+            else:
+                self._faces = segments3d
+                self._invalid_vertices = False
+        else:
+            # Turn the potentially ragged list into a numpy array for later speedups
+            # If it is ragged, set the unused vertices per face as invalid
+            num_faces = len(segments3d)
+            num_verts = np.fromiter(map(len, segments3d), dtype=np.intp)
+            max_verts = num_verts.max(initial=0)
+            segments = np.empty((num_faces, max_verts, 3))
+            for i, face in enumerate(segments3d):
+                segments[i, :len(face)] = face
+            self._faces = segments
+            self._invalid_vertices = np.arange(max_verts) >= num_verts[:, None]
 
     def set_verts(self, verts, closed=True):
-        '''Set 3D vertices.'''
-        self.get_vector(verts)
+        """
+        Set 3D vertices.
+
+        Parameters
+        ----------
+        verts : list of (N, 3) array-like
+            The sequence of polygons [*verts0*, *verts1*, ...] where each
+            element *verts_i* defines the vertices of polygon *i* as a 2D
+            array-like of shape (N, 3).
+        closed : bool, default: True
+            Whether the polygon should be closed by adding a CLOSEPOLY
+            connection at the end.
+        """
+        self._get_vector(verts)
         # 2D verts will be updated at draw time
-        PolyCollection.set_verts(self, [], closed)
-
-    def set_3d_properties(self):
+        super().set_verts([], False)
+        self._closed = closed
+
+    def set_verts_and_codes(self, verts, codes):
+        """Set 3D vertices with path codes."""
+        # set vertices with closed=False to prevent PolyCollection from
+        # setting path codes
+        self.set_verts(verts, closed=False)
+        # and set our own codes instead.
+        self._codes3d = codes
+
+    def set_3d_properties(self, axlim_clip=False):
         # Force the collection to initialize the face and edgecolors
         # just in case it is a scalarmappable with a colormap.
         self.update_scalarmappable()
         self._sort_zpos = None
-        self.set_zsort(True)
-        self._facecolors3d = PolyCollection.get_facecolors(self)
-        self._edgecolors3d = PolyCollection.get_edgecolors(self)
+        self.set_zsort('average')
+        self._facecolor3d = PolyCollection.get_facecolor(self)
+        self._edgecolor3d = PolyCollection.get_edgecolor(self)
         self._alpha3d = PolyCollection.get_alpha(self)
+        self.stale = True
 
-    def set_sort_zpos(self,val):
-        '''Set the position to use for z-sorting.'''
+    def set_sort_zpos(self, val):
+        """Set the position to use for z-sorting."""
         self._sort_zpos = val
+        self.stale = True
 
-    def do_3d_projection(self, renderer):
-        '''
+    def do_3d_projection(self):
+        """
         Perform the 3D projection for this object.
-        '''
-        # FIXME: This may no longer be needed?
+        """
         if self._A is not None:
+            # force update of color mapping because we re-order them
+            # below.  If we do not do this here, the 2D draw will call
+            # this, but we will never port the color mapped values back
+            # to the 3D versions.
+            #
+            # We hold the 3D versions in a fixed order (the order the user
+            # passed in) and sort the 2D version by view depth.
             self.update_scalarmappable()
-            self._facecolors3d = self._facecolors
-
-        txs, tys, tzs = proj3d.proj_transform_vec(self._vec, renderer.M)
-        xyzlist = [(txs[si:ei], tys[si:ei], tzs[si:ei]) \
-                for si, ei in self._segis]
+            if self._face_is_mapped:
+                self._facecolor3d = self._facecolors
+            if self._edge_is_mapped:
+                self._edgecolor3d = self._edgecolors
+
+        needs_masking = np.any(self._invalid_vertices)
+        num_faces = len(self._faces)
+        mask = self._invalid_vertices
+
+        # Some faces might contain masked vertices, so we want to ignore any
+        # errors that those might cause
+        with np.errstate(invalid='ignore', divide='ignore'):
+            pfaces = proj3d._proj_transform_vectors(self._faces, self.axes.M)
+
+        if self._axlim_clip:
+            viewlim_mask = _viewlim_mask(self._faces[..., 0], self._faces[..., 1],
+                                         self._faces[..., 2], self.axes)
+            if np.any(viewlim_mask):
+                needs_masking = True
+                mask = mask | viewlim_mask
+
+        pzs = pfaces[..., 2]
+        if needs_masking:
+            pzs = np.ma.MaskedArray(pzs, mask=mask)
 
         # This extra fuss is to re-order face / edge colors
-        cface = self._facecolors3d
-        cedge = self._edgecolors3d
-        if len(cface) != len(xyzlist):
-            cface = cface.repeat(len(xyzlist), axis=0)
-        if len(cedge) != len(xyzlist):
+        cface = self._facecolor3d
+        cedge = self._edgecolor3d
+        if len(cface) != num_faces:
+            cface = cface.repeat(num_faces, axis=0)
+        if len(cedge) != num_faces:
             if len(cedge) == 0:
                 cedge = cface
-            cedge = cedge.repeat(len(xyzlist), axis=0)
+            else:
+                cedge = cedge.repeat(num_faces, axis=0)
 
-        # if required sort by depth (furthest drawn first)
-        if self._zsort:
-            z_segments_2d = [(self._zsortfunc(zs), list(zip(xs, ys)), fc, ec) for
-                    (xs, ys, zs), fc, ec in zip(xyzlist, cface, cedge)]
-            z_segments_2d.sort(key=lambda x: x[0], reverse=True)
+        if len(pzs) > 0:
+            face_z = self._zsortfunc(pzs, axis=-1)
         else:
-            raise ValueError("whoops")
+            face_z = pzs
+        if needs_masking:
+            face_z = face_z.data
+        face_order = np.argsort(face_z, axis=-1)[::-1]
 
-        segments_2d = [s for z, s, fc, ec in z_segments_2d]
-        PolyCollection.set_verts(self, segments_2d)
-
-        self._facecolors2d = [fc for z, s, fc, ec in z_segments_2d]
-        if len(self._edgecolors3d) == len(cface):
-            self._edgecolors2d = [ec for z, s, fc, ec in z_segments_2d]
+        if len(pfaces) > 0:
+            faces_2d = pfaces[face_order, :, :2]
+        else:
+            faces_2d = pfaces
+        if self._codes3d is not None and len(self._codes3d) > 0:
+            if needs_masking:
+                segment_mask = ~mask[face_order, :]
+                faces_2d = [face[mask, :] for face, mask
+                               in zip(faces_2d, segment_mask)]
+            codes = [self._codes3d[idx] for idx in face_order]
+            PolyCollection.set_verts_and_codes(self, faces_2d, codes)
         else:
-            self._edgecolors2d = self._edgecolors3d
+            if needs_masking and len(faces_2d) > 0:
+                invalid_vertices_2d = np.broadcast_to(
+                    mask[face_order, :, None],
+                    faces_2d.shape)
+                faces_2d = np.ma.MaskedArray(
+                        faces_2d, mask=invalid_vertices_2d)
+            PolyCollection.set_verts(self, faces_2d, self._closed)
+
+        if len(cface) > 0:
+            self._facecolors2d = cface[face_order]
+        else:
+            self._facecolors2d = cface
+        if len(self._edgecolor3d) == len(cface) and len(cedge) > 0:
+            self._edgecolors2d = cedge[face_order]
+        else:
+            self._edgecolors2d = self._edgecolor3d
 
         # Return zorder value
         if self._sort_zpos is not None:
             zvec = np.array([[0], [0], [self._sort_zpos], [1]])
-            ztrans = proj3d.proj_transform_vec(zvec, renderer.M)
+            ztrans = proj3d._proj_transform_vec(zvec, self.axes.M)
             return ztrans[2][0]
-        elif tzs.size > 0 :
+        elif pzs.size > 0:
             # FIXME: Some results still don't look quite right.
             #        In particular, examine contourf3d_demo2.py
             #        with az = -54 and elev = -45.
-            return np.min(tzs)
-        else :
+            return np.min(pzs)
+        else:
             return np.nan
 
     def set_facecolor(self, colors):
-        PolyCollection.set_facecolor(self, colors)
-        self._facecolors3d = PolyCollection.get_facecolor(self)
-    set_facecolors = set_facecolor
+        # docstring inherited
+        super().set_facecolor(colors)
+        self._facecolor3d = PolyCollection.get_facecolor(self)
 
     def set_edgecolor(self, colors):
-        PolyCollection.set_edgecolor(self, colors)
-        self._edgecolors3d = PolyCollection.get_edgecolor(self)
-    set_edgecolors = set_edgecolor
+        # docstring inherited
+        super().set_edgecolor(colors)
+        self._edgecolor3d = PolyCollection.get_edgecolor(self)
 
     def set_alpha(self, alpha):
-        """
-        Set the alpha tranparencies of the collection.  *alpha* must be
-        a float or *None*.
-
-        ACCEPTS: float or None
-        """
-        if alpha is not None:
-            try:
-                float(alpha)
-            except TypeError:
-                raise TypeError('alpha must be a float or None')
+        # docstring inherited
         artist.Artist.set_alpha(self, alpha)
         try:
-            self._facecolors = mcolors.colorConverter.to_rgba_array(
-                self._facecolors3d, self._alpha)
+            self._facecolor3d = mcolors.to_rgba_array(
+                self._facecolor3d, self._alpha)
         except (AttributeError, TypeError, IndexError):
             pass
         try:
-            self._edgecolors = mcolors.colorConverter.to_rgba_array(
-                    self._edgecolors3d, self._alpha)
+            self._edgecolors = mcolors.to_rgba_array(
+                    self._edgecolor3d, self._alpha)
         except (AttributeError, TypeError, IndexError):
             pass
+        self.stale = True
 
-    def get_facecolors(self):
-        return self._facecolors2d
-    get_facecolor = get_facecolors
-
-    def get_edgecolors(self):
-        return self._edgecolors2d
-    get_edgecolor = get_edgecolors
-
-    def draw(self, renderer):
-        return Collection.draw(self, renderer)
-
-def poly_collection_2d_to_3d(col, zs=0, zdir='z'):
-    """Convert a PolyCollection to a Poly3DCollection object."""
-    segments_3d = paths_to_3d_segments(col.get_paths(), zs, zdir)
+    def get_facecolor(self):
+        # docstring inherited
+        # self._facecolors2d is not initialized until do_3d_projection
+        if not hasattr(self, '_facecolors2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
+        return np.asarray(self._facecolors2d)
+
+    def get_edgecolor(self):
+        # docstring inherited
+        # self._edgecolors2d is not initialized until do_3d_projection
+        if not hasattr(self, '_edgecolors2d'):
+            self.axes.M = self.axes.get_proj()
+            self.do_3d_projection()
+        return np.asarray(self._edgecolors2d)
+
+
+def poly_collection_2d_to_3d(col, zs=0, zdir='z', axlim_clip=False):
+    """
+    Convert a `.PolyCollection` into a `.Poly3DCollection` object.
+
+    Parameters
+    ----------
+    col : `~matplotlib.collections.PolyCollection`
+        The collection to convert.
+    zs : float or array of floats
+        The location or locations to place the polygons in the collection along
+        the *zdir* axis. Default: 0.
+    zdir : {'x', 'y', 'z'}
+        The axis in which to place the patches. Default: 'z'.
+        See `.get_dir_vector` for a description of the values.
+    """
+    segments_3d, codes = _paths_to_3d_segments_with_codes(
+            col.get_paths(), zs, zdir)
     col.__class__ = Poly3DCollection
-    col.set_verts(segments_3d)
+    col.set_verts_and_codes(segments_3d, codes)
     col.set_3d_properties()
+    col._axlim_clip = axlim_clip
+
 
 def juggle_axes(xs, ys, zs, zdir):
     """
-    Reorder coordinates so that 2D xs, ys can be plotted in the plane
-    orthogonal to zdir. zdir is normally x, y or z. However, if zdir
-    starts with a '-' it is interpreted as a compensation for rotate_axes.
+    Reorder coordinates so that 2D *xs*, *ys* can be plotted in the plane
+    orthogonal to *zdir*. *zdir* is normally 'x', 'y' or 'z'. However, if
+    *zdir* starts with a '-' it is interpreted as a compensation for
+    `rotate_axes`.
     """
     if zdir == 'x':
         return zs, xs, ys
@@ -665,64 +1504,167 @@ def juggle_axes(xs, ys, zs, zdir):
     else:
         return xs, ys, zs
 
+
 def rotate_axes(xs, ys, zs, zdir):
     """
-    Reorder coordinates so that the axes are rotated with zdir along
+    Reorder coordinates so that the axes are rotated with *zdir* along
     the original z axis. Prepending the axis with a '-' does the
-    inverse transform, so zdir can be x, -x, y, -y, z or -z
+    inverse transform, so *zdir* can be 'x', '-x', 'y', '-y', 'z' or '-z'.
     """
-    if zdir == 'x':
+    if zdir in ('x', '-y'):
         return ys, zs, xs
-    elif zdir == '-x':
+    elif zdir in ('-x', 'y'):
         return zs, xs, ys
+    else:
+        return xs, ys, zs
 
-    elif zdir == 'y':
-        return zs, xs, ys
-    elif zdir == '-y':
-        return ys, zs, xs
+
+def _zalpha(
+    colors,
+    zs,
+    min_alpha=0.3,
+    _data_scale=None,
+):
+    """Modify the alpha values of the color list according to z-depth."""
+
+    if len(colors) == 0 or len(zs) == 0:
+        return np.zeros((0, 4))
+
+    # Alpha values beyond the range 0-1 inclusive make no sense, so clip them
+    min_alpha = np.clip(min_alpha, 0, 1)
+
+    if _data_scale is None or _data_scale == 0:
+        # Don't scale the alpha values since we have no valid data scale for reference
+        sats = np.ones_like(zs)
 
     else:
-        return xs, ys, zs
+        # Deeper points have an increasingly transparent appearance
+        sats = np.clip(1 - (zs - np.min(zs)) / _data_scale, min_alpha, 1)
+
+    rgba = np.broadcast_to(mcolors.to_rgba_array(colors), (len(zs), 4))
 
-def iscolor(c):
-    try:
-        if len(c) == 4 or len(c) == 3:
-            if iterable(c[0]):
-                return False
-            if hasattr(c[0], '__float__'):
-                return True
-    except:
-        return False
-    return False
-
-def get_colors(c, num):
-    """Stretch the color argument to provide the required number num"""
-
-    if type(c) == type("string"):
-        c = mcolors.colorConverter.to_rgba(c)
-
-    if iscolor(c):
-        return [c] * num
-    if len(c) == num:
-        return c
-    elif iscolor(c):
-        return [c] * num
-    elif len(c) == 0: #if edgecolor or facecolor is specified as 'none'
-        return [[0,0,0,0]] * num
-    elif iscolor(c[0]):
-        return [c[0]] * num
+    # Change the alpha values of the colors using the generated alpha multipliers
+    return np.column_stack([rgba[:, :3], rgba[:, 3] * sats])
+
+
+def _all_points_on_plane(xs, ys, zs, atol=1e-8):
+    """
+    Check if all points are on the same plane. Note that NaN values are
+    ignored.
+
+    Parameters
+    ----------
+    xs, ys, zs : array-like
+        The x, y, and z coordinates of the points.
+    atol : float, default: 1e-8
+        The tolerance for the equality check.
+    """
+    xs, ys, zs = np.asarray(xs), np.asarray(ys), np.asarray(zs)
+    points = np.column_stack([xs, ys, zs])
+    points = points[~np.isnan(points).any(axis=1)]
+    # Check for the case where we have less than 3 unique points
+    points = np.unique(points, axis=0)
+    if len(points) <= 3:
+        return True
+    # Calculate the vectors from the first point to all other points
+    vs = (points - points[0])[1:]
+    vs = vs / np.linalg.norm(vs, axis=1)[:, np.newaxis]
+    # Filter out parallel vectors
+    vs = np.unique(vs, axis=0)
+    if len(vs) <= 2:
+        return True
+    # Filter out parallel and antiparallel vectors to the first vector
+    cross_norms = np.linalg.norm(np.cross(vs[0], vs[1:]), axis=1)
+    zero_cross_norms = np.where(np.isclose(cross_norms, 0, atol=atol))[0] + 1
+    vs = np.delete(vs, zero_cross_norms, axis=0)
+    if len(vs) <= 2:
+        return True
+    # Calculate the normal vector from the first three points
+    n = np.cross(vs[0], vs[1])
+    n = n / np.linalg.norm(n)
+    # If the dot product of the normal vector and all other vectors is zero,
+    # all points are on the same plane
+    dots = np.dot(n, vs.transpose())
+    return np.allclose(dots, 0, atol=atol)
+
+
+def _generate_normals(polygons):
+    """
+    Compute the normals of a list of polygons, one normal per polygon.
+
+    Normals point towards the viewer for a face with its vertices in
+    counterclockwise order, following the right hand rule.
+
+    Uses three points equally spaced around the polygon. This method assumes
+    that the points are in a plane. Otherwise, more than one shade is required,
+    which is not supported.
+
+    Parameters
+    ----------
+    polygons : list of (M_i, 3) array-like, or (..., M, 3) array-like
+        A sequence of polygons to compute normals for, which can have
+        varying numbers of vertices. If the polygons all have the same
+        number of vertices and array is passed, then the operation will
+        be vectorized.
+
+    Returns
+    -------
+    normals : (..., 3) array
+        A normal vector estimated for the polygon.
+    """
+    if isinstance(polygons, np.ndarray):
+        # optimization: polygons all have the same number of points, so can
+        # vectorize
+        n = polygons.shape[-2]
+        i1, i2, i3 = 0, n//3, 2*n//3
+        v1 = polygons[..., i1, :] - polygons[..., i2, :]
+        v2 = polygons[..., i2, :] - polygons[..., i3, :]
     else:
-        raise ValueError('unknown color format %s' % c)
-
-def zalpha(colors, zs):
-    """Modify the alphas of the color list according to depth"""
-    # FIXME: This only works well if the points for *zs* are well-spaced
-    #        in all three dimensions. Otherwise, at certain orientations,
-    #        the min and max zs are very close together.
-    #        Should really normalize against the viewing depth.
-    colors = get_colors(colors, len(zs))
-    if zs.size > 0 :
-        norm = Normalize(min(zs), max(zs))
-        sats = 1 - norm(zs) * 0.7
-        colors = [(c[0], c[1], c[2], c[3] * s) for c, s in zip(colors, sats)]
+        # The subtraction doesn't vectorize because polygons is jagged.
+        v1 = np.empty((len(polygons), 3))
+        v2 = np.empty((len(polygons), 3))
+        for poly_i, ps in enumerate(polygons):
+            n = len(ps)
+            ps = np.asarray(ps)
+            i1, i2, i3 = 0, n//3, 2*n//3
+            v1[poly_i, :] = ps[i1, :] - ps[i2, :]
+            v2[poly_i, :] = ps[i2, :] - ps[i3, :]
+    return np.cross(v1, v2)
+
+
+def _shade_colors(color, normals, lightsource=None):
+    """
+    Shade *color* using normal vectors given by *normals*,
+    assuming a *lightsource* (using default position if not given).
+    *color* can also be an array of the same length as *normals*.
+    """
+    if lightsource is None:
+        # chosen for backwards-compatibility
+        lightsource = mcolors.LightSource(azdeg=225, altdeg=19.4712)
+
+    with np.errstate(invalid="ignore"):
+        shade = ((normals / np.linalg.norm(normals, axis=1, keepdims=True))
+                 @ lightsource.direction)
+    mask = ~np.isnan(shade)
+
+    if mask.any():
+        # convert dot product to allowed shading fractions
+        in_norm = mcolors.Normalize(-1, 1)
+        out_norm = mcolors.Normalize(0.3, 1).inverse
+
+        def norm(x):
+            return out_norm(in_norm(x))
+
+        shade[~mask] = 0
+
+        color = mcolors.to_rgba_array(color)
+        # shape of color should be (M, 4) (where M is number of faces)
+        # shape of shade should be (M,)
+        # colors should have final shape of (M, 4)
+        alpha = color[:, 3]
+        colors = norm(shade)[:, np.newaxis] * color
+        colors[:, 3] = alpha
+    else:
+        colors = np.asanyarray(color).copy()
+
     return colors
diff --git a/lib/mpl_toolkits/mplot3d/axes3d.py b/lib/mpl_toolkits/mplot3d/axes3d.py
old mode 100755
new mode 100644
index a75c3ca4e640..55b204022fb9
--- a/lib/mpl_toolkits/mplot3d/axes3d.py
+++ b/lib/mpl_toolkits/mplot3d/axes3d.py
@@ -1,1148 +1,1573 @@
-#!/usr/bin/python
-# axes3d.py, original mplot3d version by John Porter
-# Created: 23 Sep 2005
-# Parts fixed by Reinier Heeres <reinier@heeres.eu>
-# Minor additions by Ben Axelrod <baxelrod@coroware.com>
-# Significant updates and revisions by Ben Root <ben.v.root@gmail.com>
-
 """
+axes3d.py, original mplot3d version by John Porter
+Created: 23 Sep 2005
+
+Parts fixed by Reinier Heeres <reinier@heeres.eu>
+Minor additions by Ben Axelrod <baxelrod@coroware.com>
+Significant updates and revisions by Ben Root <ben.v.root@gmail.com>
+
 Module containing Axes3D, an object which can plot 3D objects on a
 2D matplotlib figure.
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-import math
-
-import six
-from six.moves import map, xrange, zip, reduce
 
+from collections import defaultdict
+import itertools
+import math
+import textwrap
 import warnings
-from operator import itemgetter
 
-import matplotlib.axes as maxes
-from matplotlib.axes import Axes, rcParams
-from matplotlib import cbook
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import _api, cbook, _docstring, _preprocess_data
+import matplotlib.artist as martist
+import matplotlib.collections as mcoll
+import matplotlib.colors as mcolors
+import matplotlib.image as mimage
+import matplotlib.lines as mlines
+import matplotlib.patches as mpatches
+import matplotlib.container as mcontainer
 import matplotlib.transforms as mtransforms
+from matplotlib.axes import Axes
+from matplotlib.axes._base import _axis_method_wrapper, _process_plot_format
 from matplotlib.transforms import Bbox
-import matplotlib.collections as mcoll
-from matplotlib import docstring
-import matplotlib.scale as mscale
-from matplotlib.tri.triangulation import Triangulation
-import numpy as np
-from matplotlib.colors import Normalize, colorConverter, LightSource
+from matplotlib.tri._triangulation import Triangulation
 
 from . import art3d
 from . import proj3d
 from . import axis3d
 
-def unit_bbox():
-    box = Bbox(np.array([[0, 0], [1, 1]]))
-    return box
 
+@_docstring.interpd
+@_api.define_aliases({
+    "xlim": ["xlim3d"], "ylim": ["ylim3d"], "zlim": ["zlim3d"]})
 class Axes3D(Axes):
     """
-    3D axes object.
-    """
-    name = '3d'
-    _shared_z_axes = cbook.Grouper()
-
-    def __init__(self, fig, rect=None, *args, **kwargs):
-        '''
-        Build an :class:`Axes3D` instance in
-        :class:`~matplotlib.figure.Figure` *fig* with
-        *rect=[left, bottom, width, height]* in
-        :class:`~matplotlib.figure.Figure` coordinates
-
-        Optional keyword arguments:
+    3D Axes object.
 
-          ================   =========================================
-          Keyword            Description
-          ================   =========================================
-          *azim*             Azimuthal viewing angle (default -60)
-          *elev*             Elevation viewing angle (default 30)
-          *zscale*           [%(scale)s]
-          *sharez*           Other axes to share z-limits with
-          ================   =========================================
+    .. note::
 
-        .. versionadded :: 1.2.1
-            *sharez*
+        As a user, you do not instantiate Axes directly, but use Axes creation
+        methods instead; e.g. from `.pyplot` or `.Figure`:
+        `~.pyplot.subplots`, `~.pyplot.subplot_mosaic` or `.Figure.add_axes`.
+    """
+    name = '3d'
 
-        ''' % {'scale': ' | '.join([repr(x) for x in mscale.get_scale_names()])}
+    _axis_names = ("x", "y", "z")
+    Axes._shared_axes["z"] = cbook.Grouper()
+    Axes._shared_axes["view"] = cbook.Grouper()
+
+    def __init__(
+        self, fig, rect=None, *args,
+        elev=30, azim=-60, roll=0, shareview=None, sharez=None,
+        proj_type='persp', focal_length=None,
+        box_aspect=None,
+        computed_zorder=True,
+        **kwargs,
+    ):
+        """
+        Parameters
+        ----------
+        fig : Figure
+            The parent figure.
+        rect : tuple (left, bottom, width, height), default: None.
+            The ``(left, bottom, width, height)`` Axes position.
+        elev : float, default: 30
+            The elevation angle in degrees rotates the camera above and below
+            the x-y plane, with a positive angle corresponding to a location
+            above the plane.
+        azim : float, default: -60
+            The azimuthal angle in degrees rotates the camera about the z axis,
+            with a positive angle corresponding to a right-handed rotation. In
+            other words, a positive azimuth rotates the camera about the origin
+            from its location along the +x axis towards the +y axis.
+        roll : float, default: 0
+            The roll angle in degrees rotates the camera about the viewing
+            axis. A positive angle spins the camera clockwise, causing the
+            scene to rotate counter-clockwise.
+        shareview : Axes3D, optional
+            Other Axes to share view angles with.  Note that it is not possible
+            to unshare axes.
+        sharez : Axes3D, optional
+            Other Axes to share z-limits with.  Note that it is not possible to
+            unshare axes.
+        proj_type : {'persp', 'ortho'}
+            The projection type, default 'persp'.
+        focal_length : float, default: None
+            For a projection type of 'persp', the focal length of the virtual
+            camera. Must be > 0. If None, defaults to 1.
+            For a projection type of 'ortho', must be set to either None
+            or infinity (numpy.inf). If None, defaults to infinity.
+            The focal length can be computed from a desired Field Of View via
+            the equation: focal_length = 1/tan(FOV/2)
+        box_aspect : 3-tuple of floats, default: None
+            Changes the physical dimensions of the Axes3D, such that the ratio
+            of the axis lengths in display units is x:y:z.
+            If None, defaults to 4:4:3
+        computed_zorder : bool, default: True
+            If True, the draw order is computed based on the average position
+            of the `.Artist`\\s along the view direction.
+            Set to False if you want to manually control the order in which
+            Artists are drawn on top of each other using their *zorder*
+            attribute. This can be used for fine-tuning if the automatic order
+            does not produce the desired result. Note however, that a manual
+            zorder will only be correct for a limited view angle. If the figure
+            is rotated by the user, it will look wrong from certain angles.
+
+        **kwargs
+            Other optional keyword arguments:
+
+            %(Axes3D:kwdoc)s
+        """
 
         if rect is None:
             rect = [0.0, 0.0, 1.0, 1.0]
-        self._cids = []
-
-        self.initial_azim = kwargs.pop('azim', -60)
-        self.initial_elev = kwargs.pop('elev', 30)
-        zscale = kwargs.pop('zscale', None)
-        sharez = kwargs.pop('sharez', None)
-
-        self.xy_viewLim = unit_bbox()
-        self.zz_viewLim = unit_bbox()
-        self.xy_dataLim = unit_bbox()
-        self.zz_dataLim = unit_bbox()
-        # inihibit autoscale_view until the axes are defined
+
+        self.initial_azim = azim
+        self.initial_elev = elev
+        self.initial_roll = roll
+        self.set_proj_type(proj_type, focal_length)
+        self.computed_zorder = computed_zorder
+
+        self.xy_viewLim = Bbox.unit()
+        self.zz_viewLim = Bbox.unit()
+        xymargin = 0.05 * 10/11  # match mpl3.8 appearance
+        self.xy_dataLim = Bbox([[xymargin, xymargin],
+                                [1 - xymargin, 1 - xymargin]])
+        # z-limits are encoded in the x-component of the Bbox, y is un-used
+        self.zz_dataLim = Bbox.unit()
+
+        # inhibit autoscale_view until the axes are defined
         # they can't be defined until Axes.__init__ has been called
-        self.view_init(self.initial_elev, self.initial_azim)
-        self._ready = 0
+        self.view_init(self.initial_elev, self.initial_azim, self.initial_roll)
 
         self._sharez = sharez
         if sharez is not None:
-            self._shared_z_axes.join(self, sharez)
+            self._shared_axes["z"].join(self, sharez)
             self._adjustable = 'datalim'
 
-        Axes.__init__(self, fig, rect,
-                      frameon=True,
-                      *args, **kwargs)
+        self._shareview = shareview
+        if shareview is not None:
+            self._shared_axes["view"].join(self, shareview)
+
+        if kwargs.pop('auto_add_to_figure', False):
+            raise AttributeError(
+                'auto_add_to_figure is no longer supported for Axes3D. '
+                'Use fig.add_axes(ax) instead.'
+            )
+
+        super().__init__(
+            fig, rect, frameon=True, box_aspect=box_aspect, *args, **kwargs
+        )
         # Disable drawing of axes by base class
-        Axes.set_axis_off(self)
+        super().set_axis_off()
         # Enable drawing of axes by Axes3D class
         self.set_axis_on()
         self.M = None
+        self.invM = None
+
+        self._view_margin = 1/48  # default value to match mpl3.8
+        self.autoscale_view()
 
         # func used to format z -- fall back on major formatters
         self.fmt_zdata = None
 
-        if zscale is not None :
-            self.set_zscale(zscale)
-
-        if self.zaxis is not None :
-            self._zcid = self.zaxis.callbacks.connect('units finalize',
-                                                      self.relim)
-        else :
-            self._zcid = None
-
-        self._ready = 1
         self.mouse_init()
+        fig = self.get_figure(root=True)
+        fig.canvas.callbacks._connect_picklable(
+            'motion_notify_event', self._on_move)
+        fig.canvas.callbacks._connect_picklable(
+            'button_press_event', self._button_press)
+        fig.canvas.callbacks._connect_picklable(
+            'button_release_event', self._button_release)
         self.set_top_view()
 
-        self.axesPatch.set_linewidth(0)
+        self.patch.set_linewidth(0)
         # Calculate the pseudo-data width and height
         pseudo_bbox = self.transLimits.inverted().transform([(0, 0), (1, 1)])
         self._pseudo_w, self._pseudo_h = pseudo_bbox[1] - pseudo_bbox[0]
 
-        self.figure.add_axes(self)
+        # mplot3d currently manages its own spines and needs these turned off
+        # for bounding box calculations
+        self.spines[:].set_visible(False)
 
     def set_axis_off(self):
         self._axis3don = False
+        self.stale = True
 
     def set_axis_on(self):
         self._axis3don = True
-
-    def have_units(self):
-        """
-        Return *True* if units are set on the *x*, *y*, or *z* axes
-
-        """
-        return (self.xaxis.have_units() or self.yaxis.have_units() or
-                self.zaxis.have_units())
+        self.stale = True
 
     def convert_zunits(self, z):
         """
-        For artists in an axes, if the zaxis has units support,
+        For artists in an Axes, if the zaxis has units support,
         convert *z* using zaxis unit type
-
-        .. versionadded :: 1.2.1
-
         """
         return self.zaxis.convert_units(z)
 
-    def _process_unit_info(self, xdata=None, ydata=None, zdata=None,
-                           kwargs=None):
+    def set_top_view(self):
+        # this happens to be the right view for the viewing coordinates
+        # moved up and to the left slightly to fit labels and axes
+        xdwl = 0.95 / self._dist
+        xdw = 0.9 / self._dist
+        ydwl = 0.95 / self._dist
+        ydw = 0.9 / self._dist
+        # Set the viewing pane.
+        self.viewLim.intervalx = (-xdwl, xdw)
+        self.viewLim.intervaly = (-ydwl, ydw)
+        self.stale = True
+
+    def _init_axis(self):
+        """Init 3D Axes; overrides creation of regular X/Y Axes."""
+        self.xaxis = axis3d.XAxis(self)
+        self.yaxis = axis3d.YAxis(self)
+        self.zaxis = axis3d.ZAxis(self)
+
+    def get_zaxis(self):
+        """Return the ``ZAxis`` (`~.axis3d.Axis`) instance."""
+        return self.zaxis
+
+    get_zgridlines = _axis_method_wrapper("zaxis", "get_gridlines")
+    get_zticklines = _axis_method_wrapper("zaxis", "get_ticklines")
+
+    def _transformed_cube(self, vals):
+        """Return cube with limits from *vals* transformed by self.M."""
+        minx, maxx, miny, maxy, minz, maxz = vals
+        xyzs = [(minx, miny, minz),
+                (maxx, miny, minz),
+                (maxx, maxy, minz),
+                (minx, maxy, minz),
+                (minx, miny, maxz),
+                (maxx, miny, maxz),
+                (maxx, maxy, maxz),
+                (minx, maxy, maxz)]
+        return proj3d._proj_points(xyzs, self.M)
+
+    def set_aspect(self, aspect, adjustable=None, anchor=None, share=False):
         """
-        Look for unit *kwargs* and update the axis instances as necessary
+        Set the aspect ratios.
+
+        Parameters
+        ----------
+        aspect : {'auto', 'equal', 'equalxy', 'equalxz', 'equalyz'}
+            Possible values:
+
+            =========   ==================================================
+            value       description
+            =========   ==================================================
+            'auto'      automatic; fill the position rectangle with data.
+            'equal'     adapt all the axes to have equal aspect ratios.
+            'equalxy'   adapt the x and y axes to have equal aspect ratios.
+            'equalxz'   adapt the x and z axes to have equal aspect ratios.
+            'equalyz'   adapt the y and z axes to have equal aspect ratios.
+            =========   ==================================================
+
+        adjustable : None or {'box', 'datalim'}, optional
+            If not *None*, this defines which parameter will be adjusted to
+            meet the required aspect. See `.set_adjustable` for further
+            details.
+
+        anchor : None or str or 2-tuple of float, optional
+            If not *None*, this defines where the Axes will be drawn if there
+            is extra space due to aspect constraints. The most common way to
+            specify the anchor are abbreviations of cardinal directions:
+
+            =====   =====================
+            value   description
+            =====   =====================
+            'C'     centered
+            'SW'    lower left corner
+            'S'     middle of bottom edge
+            'SE'    lower right corner
+            etc.
+            =====   =====================
+
+            See `~.Axes.set_anchor` for further details.
+
+        share : bool, default: False
+            If ``True``, apply the settings to all shared Axes.
+
+        See Also
+        --------
+        mpl_toolkits.mplot3d.axes3d.Axes3D.set_box_aspect
+        """
+        _api.check_in_list(('auto', 'equal', 'equalxy', 'equalyz', 'equalxz'),
+                           aspect=aspect)
+        super().set_aspect(
+            aspect='auto', adjustable=adjustable, anchor=anchor, share=share)
+        self._aspect = aspect
+
+        if aspect in ('equal', 'equalxy', 'equalxz', 'equalyz'):
+            ax_indices = self._equal_aspect_axis_indices(aspect)
+
+            view_intervals = np.array([self.xaxis.get_view_interval(),
+                                       self.yaxis.get_view_interval(),
+                                       self.zaxis.get_view_interval()])
+            ptp = np.ptp(view_intervals, axis=1)
+            if self._adjustable == 'datalim':
+                mean = np.mean(view_intervals, axis=1)
+                scale = max(ptp[ax_indices] / self._box_aspect[ax_indices])
+                deltas = scale * self._box_aspect
+
+                for i, set_lim in enumerate((self.set_xlim3d,
+                                             self.set_ylim3d,
+                                             self.set_zlim3d)):
+                    if i in ax_indices:
+                        set_lim(mean[i] - deltas[i]/2., mean[i] + deltas[i]/2.,
+                                auto=True, view_margin=None)
+            else:  # 'box'
+                # Change the box aspect such that the ratio of the length of
+                # the unmodified axis to the length of the diagonal
+                # perpendicular to it remains unchanged.
+                box_aspect = np.array(self._box_aspect)
+                box_aspect[ax_indices] = ptp[ax_indices]
+                remaining_ax_indices = {0, 1, 2}.difference(ax_indices)
+                if remaining_ax_indices:
+                    remaining = remaining_ax_indices.pop()
+                    old_diag = np.linalg.norm(self._box_aspect[ax_indices])
+                    new_diag = np.linalg.norm(box_aspect[ax_indices])
+                    box_aspect[remaining] *= new_diag / old_diag
+                self.set_box_aspect(box_aspect)
+
+    def _equal_aspect_axis_indices(self, aspect):
+        """
+        Get the indices for which of the x, y, z axes are constrained to have
+        equal aspect ratios.
 
+        Parameters
+        ----------
+        aspect : {'auto', 'equal', 'equalxy', 'equalxz', 'equalyz'}
+            See descriptions in docstring for `.set_aspect()`.
         """
-        Axes._process_unit_info(self, xdata=xdata, ydata=ydata, kwargs=kwargs)
+        ax_indices = []  # aspect == 'auto'
+        if aspect == 'equal':
+            ax_indices = [0, 1, 2]
+        elif aspect == 'equalxy':
+            ax_indices = [0, 1]
+        elif aspect == 'equalxz':
+            ax_indices = [0, 2]
+        elif aspect == 'equalyz':
+            ax_indices = [1, 2]
+        return ax_indices
+
+    def set_box_aspect(self, aspect, *, zoom=1):
+        """
+        Set the Axes box aspect.
 
-        if self.xaxis is None or self.yaxis is None or self.zaxis is None:
-            return
+        The box aspect is the ratio of height to width in display
+        units for each face of the box when viewed perpendicular to
+        that face.  This is not to be confused with the data aspect (see
+        `~.Axes3D.set_aspect`). The default ratios are 4:4:3 (x:y:z).
 
-        if zdata is not None:
-            # we only need to update if there is nothing set yet.
-            if not self.zaxis.have_units():
-                self.zaxis.update_units(xdata)
-
-        # process kwargs 2nd since these will override default units
-        if kwargs is not None:
-            zunits = kwargs.pop('zunits', self.zaxis.units)
-            if zunits != self.zaxis.units:
-                self.zaxis.set_units(zunits)
-                # If the units being set imply a different converter,
-                # we need to update.
-                if zdata is not None:
-                    self.zaxis.update_units(zdata)
+        To simulate having equal aspect in data space, set the box
+        aspect to match your data range in each dimension.
 
-    def set_top_view(self):
-        # this happens to be the right view for the viewing coordinates
-        # moved up and to the left slightly to fit labels and axes
-        xdwl = (0.95/self.dist)
-        xdw = (0.9/self.dist)
-        ydwl = (0.95/self.dist)
-        ydw = (0.9/self.dist)
+        *zoom* controls the overall size of the Axes3D in the figure.
 
-        # This is purposely using the 2D Axes's set_xlim and set_ylim,
-        # because we are trying to place our viewing pane.
-        Axes.set_xlim(self, -xdwl, xdw, auto=None)
-        Axes.set_ylim(self, -ydwl, ydw, auto=None)
+        Parameters
+        ----------
+        aspect : 3-tuple of floats or None
+            Changes the physical dimensions of the Axes3D, such that the ratio
+            of the axis lengths in display units is x:y:z.
+            If None, defaults to (4, 4, 3).
 
-    def _init_axis(self):
-        '''Init 3D axes; overrides creation of regular X/Y axes'''
-        self.w_xaxis = axis3d.XAxis('x', self.xy_viewLim.intervalx,
-                            self.xy_dataLim.intervalx, self)
-        self.xaxis = self.w_xaxis
-        self.w_yaxis = axis3d.YAxis('y', self.xy_viewLim.intervaly,
-                            self.xy_dataLim.intervaly, self)
-        self.yaxis = self.w_yaxis
-        self.w_zaxis = axis3d.ZAxis('z', self.zz_viewLim.intervalx,
-                            self.zz_dataLim.intervalx, self)
-        self.zaxis = self.w_zaxis
-
-        for ax in self.xaxis, self.yaxis, self.zaxis:
-            ax.init3d()
-
-    def get_children(self):
-        return [self.zaxis,] + Axes.get_children(self)
-
-    def unit_cube(self, vals=None):
-        minx, maxx, miny, maxy, minz, maxz = vals or self.get_w_lims()
-        xs, ys, zs = ([minx, maxx, maxx, minx, minx, maxx, maxx, minx],
-                    [miny, miny, maxy, maxy, miny, miny, maxy, maxy],
-                    [minz, minz, minz, minz, maxz, maxz, maxz, maxz])
-        return list(zip(xs, ys, zs))
-
-    def tunit_cube(self, vals=None, M=None):
-        if M is None:
-            M = self.M
-        xyzs = self.unit_cube(vals)
-        tcube = proj3d.proj_points(xyzs, M)
-        return tcube
-
-    def tunit_edges(self, vals=None, M=None):
-        tc = self.tunit_cube(vals, M)
-        edges = [(tc[0], tc[1]),
-                 (tc[1], tc[2]),
-                 (tc[2], tc[3]),
-                 (tc[3], tc[0]),
-
-                 (tc[0], tc[4]),
-                 (tc[1], tc[5]),
-                 (tc[2], tc[6]),
-                 (tc[3], tc[7]),
-
-                 (tc[4], tc[5]),
-                 (tc[5], tc[6]),
-                 (tc[6], tc[7]),
-                 (tc[7], tc[4])]
-        return edges
+        zoom : float, default: 1
+            Control overall size of the Axes3D in the figure. Must be > 0.
+        """
+        if zoom <= 0:
+            raise ValueError(f'Argument zoom = {zoom} must be > 0')
 
+        if aspect is None:
+            aspect = np.asarray((4, 4, 3), dtype=float)
+        else:
+            aspect = np.asarray(aspect, dtype=float)
+            _api.check_shape((3,), aspect=aspect)
+        # The scale 1.8294640721620434 is tuned to match the mpl3.2 appearance.
+        # The 25/24 factor is to compensate for the change in automargin
+        # behavior in mpl3.9. This comes from the padding of 1/48 on both sides
+        # of the axes in mpl3.8.
+        aspect *= 1.8294640721620434 * 25/24 * zoom / np.linalg.norm(aspect)
+
+        self._box_aspect = self._roll_to_vertical(aspect, reverse=True)
+        self.stale = True
+
+    def apply_aspect(self, position=None):
+        if position is None:
+            position = self.get_position(original=True)
+
+        # in the superclass, we would go through and actually deal with axis
+        # scales and box/datalim. Those are all irrelevant - all we need to do
+        # is make sure our coordinate system is square.
+        trans = self.get_figure().transSubfigure
+        bb = mtransforms.Bbox.unit().transformed(trans)
+        # this is the physical aspect of the panel (or figure):
+        fig_aspect = bb.height / bb.width
+
+        box_aspect = 1
+        pb = position.frozen()
+        pb1 = pb.shrunk_to_aspect(box_aspect, pb, fig_aspect)
+        self._set_position(pb1.anchored(self.get_anchor(), pb), 'active')
+
+    @martist.allow_rasterization
     def draw(self, renderer):
+        if not self.get_visible():
+            return
+        self._unstale_viewLim()
+
         # draw the background patch
-        self.axesPatch.draw(renderer)
+        self.patch.draw(renderer)
         self._frameon = False
 
+        # first, set the aspect
+        # this is duplicated from `axes._base._AxesBase.draw`
+        # but must be called before any of the artist are drawn as
+        # it adjusts the view limits and the size of the bounding box
+        # of the Axes
+        locator = self.get_axes_locator()
+        self.apply_aspect(locator(self, renderer) if locator else None)
+
         # add the projection matrix to the renderer
         self.M = self.get_proj()
-        renderer.M = self.M
-        renderer.vvec = self.vvec
-        renderer.eye = self.eye
-        renderer.get_axis_position = self.get_axis_position
-
-        # Calculate projection of collections and zorder them
-        zlist = [(col.do_3d_projection(renderer), col) \
-                 for col in self.collections]
-        zlist.sort(key=itemgetter(0), reverse=True)
-        for i, (z, col) in enumerate(zlist):
-            col.zorder = i
-
-        # Calculate projection of patches and zorder them
-        zlist = [(patch.do_3d_projection(renderer), patch) \
-                for patch in self.patches]
-        zlist.sort(key=itemgetter(0), reverse=True)
-        for i, (z, patch) in enumerate(zlist):
-            patch.zorder = i
+        self.invM = np.linalg.inv(self.M)
+
+        collections_and_patches = (
+            artist for artist in self._children
+            if isinstance(artist, (mcoll.Collection, mpatches.Patch))
+            and artist.get_visible())
+        if self.computed_zorder:
+            # Calculate projection of collections and patches and zorder
+            # them. Make sure they are drawn above the grids.
+            zorder_offset = max(axis.get_zorder()
+                                for axis in self._axis_map.values()) + 1
+            collection_zorder = patch_zorder = zorder_offset
+
+            for artist in sorted(collections_and_patches,
+                                 key=lambda artist: artist.do_3d_projection(),
+                                 reverse=True):
+                if isinstance(artist, mcoll.Collection):
+                    artist.zorder = collection_zorder
+                    collection_zorder += 1
+                elif isinstance(artist, mpatches.Patch):
+                    artist.zorder = patch_zorder
+                    patch_zorder += 1
+        else:
+            for artist in collections_and_patches:
+                artist.do_3d_projection()
 
         if self._axis3don:
-            axes = (self.xaxis, self.yaxis, self.zaxis)
             # Draw panes first
-            for ax in axes:
-                ax.draw_pane(renderer)
-            # Then axes
-            for ax in axes:
-                ax.draw(renderer)
+            for axis in self._axis_map.values():
+                axis.draw_pane(renderer)
+            # Then gridlines
+            for axis in self._axis_map.values():
+                axis.draw_grid(renderer)
+            # Then axes, labels, text, and ticks
+            for axis in self._axis_map.values():
+                axis.draw(renderer)
 
         # Then rest
-        Axes.draw(self, renderer)
+        super().draw(renderer)
 
     def get_axis_position(self):
-        vals = self.get_w_lims()
-        tc = self.tunit_cube(vals, self.M)
+        tc = self._transformed_cube(self.get_w_lims())
         xhigh = tc[1][2] > tc[2][2]
         yhigh = tc[3][2] > tc[2][2]
         zhigh = tc[0][2] > tc[2][2]
         return xhigh, yhigh, zhigh
 
     def update_datalim(self, xys, **kwargs):
-        pass
-
-    def get_autoscale_on(self) :
-        """
-        Get whether autoscaling is applied for all axes on plot commands
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
-        return Axes.get_autoscale_on(self) and self.get_autoscalez_on()
-
-    def get_autoscalez_on(self) :
-        """
-        Get whether autoscaling for the z-axis is applied on plot commands
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
         """
-        return self._autoscaleZon
-
-    def set_autoscale_on(self, b) :
+        Not implemented in `~mpl_toolkits.mplot3d.axes3d.Axes3D`.
         """
-        Set whether autoscaling is applied on plot commands
+        pass
 
-        accepts: [ *True* | *False* ]
+    get_autoscalez_on = _axis_method_wrapper("zaxis", "_get_autoscale_on")
+    set_autoscalez_on = _axis_method_wrapper("zaxis", "_set_autoscale_on")
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+    def get_zmargin(self):
         """
-        Axes.set_autoscale_on(self, b)
-        self.set_autoscalez_on(b)
+        Retrieve autoscaling margin of the z-axis.
 
-    def set_autoscalez_on(self, b) :
-        """
-        Set whether autoscaling for the z-axis is applied on plot commands
+        .. versionadded:: 3.9
 
-        accepts: [ *True* | *False* ]
+        Returns
+        -------
+        zmargin : float
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        See Also
+        --------
+        mpl_toolkits.mplot3d.axes3d.Axes3D.set_zmargin
         """
-        self._autoscalez_on = b
+        return self._zmargin
 
-    def set_zmargin(self, m) :
+    def set_zmargin(self, m):
         """
         Set padding of Z data limits prior to autoscaling.
 
-        *m* times the data interval will be added to each
-        end of that interval before it is used in autoscaling.
+        *m* times the data interval will be added to each end of that interval
+        before it is used in autoscaling.  If *m* is negative, this will clip
+        the data range instead of expanding it.
 
-        accepts: float in range 0 to 1
+        For example, if your data is in the range [0, 2], a margin of 0.1 will
+        result in a range [-0.2, 2.2]; a margin of -0.1 will result in a range
+        of [0.2, 1.8].
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        Parameters
+        ----------
+        m : float greater than -0.5
         """
-        if m < 0 or m > 1 :
-            raise ValueError("margin must be in range 0 to 1")
+        if m <= -0.5:
+            raise ValueError("margin must be greater than -0.5")
         self._zmargin = m
+        self._request_autoscale_view("z")
+        self.stale = True
 
-    def margins(self, *args, **kw) :
+    def margins(self, *margins, x=None, y=None, z=None, tight=True):
         """
-        Convenience method to set or retrieve autoscaling margins.
-
-        signatures::
-            margins()
-
-        returns xmargin, ymargin, zmargin
-
-        ::
-
-            margins(margin)
+        Set or retrieve autoscaling margins.
 
-            margins(xmargin, ymargin, zmargin)
-
-            margins(x=xmargin, y=ymargin, z=zmargin)
-
-            margins(..., tight=False)
-
-        All forms above set the xmargin, ymargin and zmargin
-        parameters. All keyword parameters are optional.  A single argument
-        specifies xmargin, ymargin and zmargin.  The *tight* parameter
-        is passed to :meth:`autoscale_view`, which is executed after
-        a margin is changed; the default here is *True*, on the
-        assumption that when margins are specified, no additional
-        padding to match tick marks is usually desired.  Setting
-        *tight* to *None* will preserve the previous setting.
-
-        Specifying any margin changes only the autoscaling; for example,
-        if *xmargin* is not None, then *xmargin* times the X data
-        interval will be added to each end of that interval before
-        it is used in autoscaling.
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        See `.Axes.margins` for full documentation.  Because this function
+        applies to 3D Axes, it also takes a *z* argument, and returns
+        ``(xmargin, ymargin, zmargin)``.
         """
-        if not args and not kw:
+        if margins and (x is not None or y is not None or z is not None):
+            raise TypeError('Cannot pass both positional and keyword '
+                            'arguments for x, y, and/or z.')
+        elif len(margins) == 1:
+            x = y = z = margins[0]
+        elif len(margins) == 3:
+            x, y, z = margins
+        elif margins:
+            raise TypeError('Must pass a single positional argument for all '
+                            'margins, or one for each margin (x, y, z).')
+
+        if x is None and y is None and z is None:
+            if tight is not True:
+                _api.warn_external(f'ignoring tight={tight!r} in get mode')
             return self._xmargin, self._ymargin, self._zmargin
 
-        tight = kw.pop('tight', True)
-        mx = kw.pop('x', None)
-        my = kw.pop('y', None)
-        mz = kw.pop('z', None)
-        if len(args) == 1:
-            mx = my = mz = args[0]
-        elif len(args) == 2:
-            # Maybe put out a warning because mz is not set?
-            mx, my = args
-        elif len(args) == 3:
-            mx, my, mz = args
-        else:
-            raise ValueError("more than three arguments were supplied")
-        if mx is not None:
-            self.set_xmargin(mx)
-        if my is not None:
-            self.set_ymargin(my)
-        if mz is not None:
-            self.set_zmargin(mz)
-
-        scalex = (mx is not None)
-        scaley = (my is not None)
-        scalez = (mz is not None)
+        if x is not None:
+            self.set_xmargin(x)
+        if y is not None:
+            self.set_ymargin(y)
+        if z is not None:
+            self.set_zmargin(z)
 
-        self.autoscale_view(tight=tight, scalex=scalex, scaley=scaley,
-                                         scalez=scalez)
+        self.autoscale_view(
+            tight=tight, scalex=(x is not None), scaley=(y is not None),
+            scalez=(z is not None)
+        )
 
-    def autoscale(self, enable=True, axis='both', tight=None) :
+    def autoscale(self, enable=True, axis='both', tight=None):
         """
         Convenience method for simple axis view autoscaling.
-        See :meth:`matplotlib.axes.Axes.autoscale` for full explanation.
-        Note that this function behaves the same, but for all
-        three axes.  Therfore, 'z' can be passed for *axis*,
-        and 'both' applies to all three axes.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        See `.Axes.autoscale` for full documentation.  Because this function
+        applies to 3D Axes, *axis* can also be set to 'z', and setting *axis*
+        to 'both' autoscales all three axes.
         """
         if enable is None:
             scalex = True
             scaley = True
             scalez = True
         else:
-            scalex = False
-            scaley = False
-            scalez = False
             if axis in ['x', 'both']:
-                self._autoscaleXon = bool(enable)
-                scalex = self._autoscaleXon
+                self.set_autoscalex_on(enable)
+                scalex = self.get_autoscalex_on()
+            else:
+                scalex = False
             if axis in ['y', 'both']:
-                self._autoscaleYon = bool(enable)
-                scaley = self._autoscaleYon
+                self.set_autoscaley_on(enable)
+                scaley = self.get_autoscaley_on()
+            else:
+                scaley = False
             if axis in ['z', 'both']:
-                self._autoscaleZon = bool(enable)
-                scalez = self._autoscaleZon
-        self.autoscale_view(tight=tight, scalex=scalex, scaley=scaley,
-                                         scalez=scalez)
+                self.set_autoscalez_on(enable)
+                scalez = self.get_autoscalez_on()
+            else:
+                scalez = False
+        if scalex:
+            self._request_autoscale_view("x", tight=tight)
+        if scaley:
+            self._request_autoscale_view("y", tight=tight)
+        if scalez:
+            self._request_autoscale_view("z", tight=tight)
 
     def auto_scale_xyz(self, X, Y, Z=None, had_data=None):
-        x, y, z = list(map(np.asarray, (X, Y, Z)))
-        try:
-            x, y = x.flatten(), y.flatten()
-            if Z is not None:
-                z = z.flatten()
-        except AttributeError:
-            raise
-
-        # This updates the bounding boxes as to keep a record as
-        # to what the minimum sized rectangular volume holds the
-        # data.
-        self.xy_dataLim.update_from_data_xy(np.array([x, y]).T, not had_data)
-        if z is not None:
-            self.zz_dataLim.update_from_data_xy(np.array([z, z]).T, not had_data)
-
+        # This updates the bounding boxes as to keep a record as to what the
+        # minimum sized rectangular volume holds the data.
+        if np.shape(X) == np.shape(Y):
+            self.xy_dataLim.update_from_data_xy(
+                np.column_stack([np.ravel(X), np.ravel(Y)]), not had_data)
+        else:
+            self.xy_dataLim.update_from_data_x(X, not had_data)
+            self.xy_dataLim.update_from_data_y(Y, not had_data)
+        if Z is not None:
+            self.zz_dataLim.update_from_data_x(Z, not had_data)
         # Let autoscale_view figure out how to use this data.
         self.autoscale_view()
 
-    def autoscale_view(self, tight=None, scalex=True, scaley=True,
-                             scalez=True) :
+    def autoscale_view(self, tight=None,
+                       scalex=True, scaley=True, scalez=True):
         """
         Autoscale the view limits using the data limits.
-        See :meth:`matplotlib.axes.Axes.autoscale_view` for documentation.
-        Note that this function applies to the 3D axes, and as such
-        adds the *scalez* to the function arguments.
-
-        .. versionchanged :: 1.1.0
-            Function signature was changed to better match the 2D version.
-            *tight* is now explicitly a kwarg and placed first.
-
-        .. versionchanged :: 1.2.1
-            This is now fully functional.
 
+        See `.Axes.autoscale_view` for full documentation.  Because this
+        function applies to 3D Axes, it also takes a *scalez* argument.
         """
-        if not self._ready:
-            return
-
         # This method looks at the rectangular volume (see above)
         # of data and decides how to scale the view portal to fit it.
         if tight is None:
-            # if image data only just use the datalim
-            _tight = self._tight or (len(self.images)>0 and
-                                     len(self.lines)==0 and
-                                     len(self.patches)==0)
+            _tight = self._tight
+            if not _tight:
+                # if image data only just use the datalim
+                for artist in self._children:
+                    if isinstance(artist, mimage.AxesImage):
+                        _tight = True
+                    elif isinstance(artist, (mlines.Line2D, mpatches.Patch)):
+                        _tight = False
+                        break
         else:
             _tight = self._tight = bool(tight)
 
-        if scalex and self._autoscaleXon:
-            xshared = self._shared_x_axes.get_siblings(self)
-            dl = [ax.dataLim for ax in xshared]
-            bb = mtransforms.BboxBase.union(dl)
+        if scalex and self.get_autoscalex_on():
             x0, x1 = self.xy_dataLim.intervalx
             xlocator = self.xaxis.get_major_locator()
-            try:
-                x0, x1 = xlocator.nonsingular(x0, x1)
-            except AttributeError:
-                x0, x1 = mtransforms.nonsingular(x0, x1, increasing=False,
-                                                         expander=0.05)
+            x0, x1 = xlocator.nonsingular(x0, x1)
             if self._xmargin > 0:
                 delta = (x1 - x0) * self._xmargin
                 x0 -= delta
                 x1 += delta
             if not _tight:
                 x0, x1 = xlocator.view_limits(x0, x1)
-            self.set_xbound(x0, x1)
+            self.set_xbound(x0, x1, self._view_margin)
 
-        if scaley and self._autoscaleYon:
-            yshared = self._shared_y_axes.get_siblings(self)
-            dl = [ax.dataLim for ax in yshared]
-            bb = mtransforms.BboxBase.union(dl)
+        if scaley and self.get_autoscaley_on():
             y0, y1 = self.xy_dataLim.intervaly
             ylocator = self.yaxis.get_major_locator()
-            try:
-                y0, y1 = ylocator.nonsingular(y0, y1)
-            except AttributeError:
-                y0, y1 = mtransforms.nonsingular(y0, y1, increasing=False,
-                                                         expander=0.05)
+            y0, y1 = ylocator.nonsingular(y0, y1)
             if self._ymargin > 0:
                 delta = (y1 - y0) * self._ymargin
                 y0 -= delta
                 y1 += delta
             if not _tight:
                 y0, y1 = ylocator.view_limits(y0, y1)
-            self.set_ybound(y0, y1)
+            self.set_ybound(y0, y1, self._view_margin)
 
-        if scalez and self._autoscaleZon:
-            zshared = self._shared_z_axes.get_siblings(self)
-            dl = [ax.dataLim for ax in zshared]
-            bb = mtransforms.BboxBase.union(dl)
+        if scalez and self.get_autoscalez_on():
             z0, z1 = self.zz_dataLim.intervalx
             zlocator = self.zaxis.get_major_locator()
-            try:
-                z0, z1 = zlocator.nonsingular(z0, z1)
-            except AttributeError:
-                z0, z1 = mtransforms.nonsingular(z0, z1, increasing=False,
-                                                         expander=0.05)
+            z0, z1 = zlocator.nonsingular(z0, z1)
             if self._zmargin > 0:
                 delta = (z1 - z0) * self._zmargin
                 z0 -= delta
                 z1 += delta
             if not _tight:
                 z0, z1 = zlocator.view_limits(z0, z1)
-            self.set_zbound(z0, z1)
+            self.set_zbound(z0, z1, self._view_margin)
 
     def get_w_lims(self):
-        '''Get 3D world limits.'''
+        """Get 3D world limits."""
         minx, maxx = self.get_xlim3d()
         miny, maxy = self.get_ylim3d()
         minz, maxz = self.get_zlim3d()
         return minx, maxx, miny, maxy, minz, maxz
 
-    def _determine_lims(self, xmin=None, xmax=None, *args, **kwargs):
-        if xmax is None and cbook.iterable(xmin):
-            xmin, xmax = xmin
-        if xmin == xmax:
-            xmin -= 0.05
-            xmax += 0.05
-        return (xmin, xmax)
-
-    def set_xlim3d(self, left=None, right=None, emit=True, auto=False, **kw):
-        """
-        Set 3D x limits.
-
-        See :meth:`matplotlib.axes.Axes.set_xlim` for full documentation.
-
-        """
-        if 'xmin' in kw:
-            left = kw.pop('xmin')
-        if 'xmax' in kw:
-            right = kw.pop('xmax')
-        if kw:
-            raise ValueError("unrecognized kwargs: %s" % kw.keys())
-
-        if right is None and cbook.iterable(left):
-            left, right = left
-
-        self._process_unit_info(xdata=(left, right))
-        if left is not None:
-            left = self.convert_xunits(left)
-        if right is not None:
-            right = self.convert_xunits(right)
-
-        old_left, old_right = self.get_xlim()
-        if left is None:
-            left = old_left
-        if right is None:
-            right = old_right
-
-        if left == right:
-            warnings.warn(('Attempting to set identical left==right results\n'
-                     'in singular transformations; automatically expanding.\n'
-                     'left=%s, right=%s') % (left, right))
-        left, right = mtransforms.nonsingular(left, right, increasing=False)
-        left, right = self.xaxis.limit_range_for_scale(left, right)
-        self.xy_viewLim.intervalx = (left, right)
-
-        if auto is not None:
-            self._autoscaleXon = bool(auto)
-
-        if emit:
-            self.callbacks.process('xlim_changed', self)
-            # Call all of the other x-axes that are shared with this one
-            for other in self._shared_x_axes.get_siblings(self):
-                if other is not self:
-                    other.set_xlim(self.xy_viewLim.intervalx,
-                                            emit=False, auto=auto)
-                    if (other.figure != self.figure and
-                        other.figure.canvas is not None):
-                        other.figure.canvas.draw_idle()
-
-        return left, right
-    set_xlim = set_xlim3d
-
-
-    def set_ylim3d(self, bottom=None, top=None, emit=True, auto=False, **kw):
-        """
-        Set 3D y limits.
-
-        See :meth:`matplotlib.axes.Axes.set_ylim` for full documentation.
-
-        """
-        if 'ymin' in kw:
-            bottom = kw.pop('ymin')
-        if 'ymax' in kw:
-            top = kw.pop('ymax')
-        if kw:
-            raise ValueError("unrecognized kwargs: %s" % kw.keys())
-
-        if top is None and cbook.iterable(bottom):
-            bottom, top = bottom
-
-        self._process_unit_info(ydata=(bottom, top))
-        if bottom is not None:
-            bottom = self.convert_yunits(bottom)
-        if top is not None:
-            top = self.convert_yunits(top)
-
-        old_bottom, old_top = self.get_ylim()
-        if bottom is None:
-            bottom = old_bottom
-        if top is None:
-            top = old_top
-
-        if top == bottom:
-            warnings.warn(('Attempting to set identical bottom==top results\n'
-                     'in singular transformations; automatically expanding.\n'
-                     'bottom=%s, top=%s') % (bottom, top))
-        bottom, top = mtransforms.nonsingular(bottom, top, increasing=False)
-        bottom, top = self.yaxis.limit_range_for_scale(bottom, top)
-        self.xy_viewLim.intervaly = (bottom, top)
-
-        if auto is not None:
-            self._autoscaleYon = bool(auto)
-
-        if emit:
-            self.callbacks.process('ylim_changed', self)
-            # Call all of the other y-axes that are shared with this one
-            for other in self._shared_y_axes.get_siblings(self):
-                if other is not self:
-                    other.set_ylim(self.xy_viewLim.intervaly,
-                                            emit=False, auto=auto)
-                    if (other.figure != self.figure and
-                        other.figure.canvas is not None):
-                        other.figure.canvas.draw_idle()
-
-        return bottom, top
-    set_ylim = set_ylim3d
-
-    def set_zlim3d(self, bottom=None, top=None, emit=True, auto=False, **kw):
-        """
-        Set 3D z limits.
-
-        See :meth:`matplotlib.axes.Axes.set_ylim` for full documentation
-
-        """
-        if 'zmin' in kw:
-            bottom = kw.pop('zmin')
-        if 'zmax' in kw:
-            top = kw.pop('zmax')
-        if kw:
-            raise ValueError("unrecognized kwargs: %s" % kw.keys())
-
-        if top is None and cbook.iterable(bottom):
-            bottom, top = bottom
-
-        self._process_unit_info(zdata=(bottom, top))
-        if bottom is not None:
-            bottom = self.convert_zunits(bottom)
-        if top is not None:
-            top = self.convert_zunits(top)
-
-        old_bottom, old_top = self.get_zlim()
-        if bottom is None:
-            bottom = old_bottom
-        if top is None:
-            top = old_top
-
-        if top == bottom:
-            warnings.warn(('Attempting to set identical bottom==top results\n'
-                     'in singular transformations; automatically expanding.\n'
-                     'bottom=%s, top=%s') % (bottom, top))
-        bottom, top = mtransforms.nonsingular(bottom, top, increasing=False)
-        bottom, top = self.zaxis.limit_range_for_scale(bottom, top)
-        self.zz_viewLim.intervalx = (bottom, top)
+    def _set_bound3d(self, get_bound, set_lim, axis_inverted,
+                     lower=None, upper=None, view_margin=None):
+        """
+        Set 3D axis bounds.
+        """
+        if upper is None and np.iterable(lower):
+            lower, upper = lower
 
-        if auto is not None:
-            self._autoscaleZon = bool(auto)
+        old_lower, old_upper = get_bound()
+        if lower is None:
+            lower = old_lower
+        if upper is None:
+            upper = old_upper
 
-        if emit:
-            self.callbacks.process('zlim_changed', self)
-            # Call all of the other y-axes that are shared with this one
-            for other in self._shared_z_axes.get_siblings(self):
-                if other is not self:
-                    other.set_zlim(self.zz_viewLim.intervalx,
-                                            emit=False, auto=auto)
-                    if (other.figure != self.figure and
-                        other.figure.canvas is not None):
-                        other.figure.canvas.draw_idle()
+        set_lim(sorted((lower, upper), reverse=bool(axis_inverted())),
+                auto=None, view_margin=view_margin)
 
-        return bottom, top
-    set_zlim = set_zlim3d
-
-    def get_xlim3d(self):
-        return self.xy_viewLim.intervalx
-    get_xlim3d.__doc__ = maxes.Axes.get_xlim.__doc__
-    get_xlim = get_xlim3d
-    get_xlim.__doc__ += """
-        .. versionchanged :: 1.1.0
-            This function now correctly refers to the 3D x-limits
+    def set_xbound(self, lower=None, upper=None, view_margin=None):
+        """
+        Set the lower and upper numerical bounds of the x-axis.
+
+        This method will honor axis inversion regardless of parameter order.
+        It will not change the autoscaling setting (`.get_autoscalex_on()`).
+
+        Parameters
+        ----------
+        lower, upper : float or None
+            The lower and upper bounds. If *None*, the respective axis bound
+            is not modified.
+        view_margin : float or None
+            The margin to apply to the bounds. If *None*, the margin is handled
+            by `.set_xlim`.
+
+        See Also
+        --------
+        get_xbound
+        get_xlim, set_xlim
+        invert_xaxis, xaxis_inverted
         """
+        self._set_bound3d(self.get_xbound, self.set_xlim, self.xaxis_inverted,
+                          lower, upper, view_margin)
 
-    def get_ylim3d(self):
-        return self.xy_viewLim.intervaly
-    get_ylim3d.__doc__ = maxes.Axes.get_ylim.__doc__
-    get_ylim = get_ylim3d
-    get_ylim.__doc__ += """
-        .. versionchanged :: 1.1.0
-            This function now correctly refers to the 3D y-limits.
+    def set_ybound(self, lower=None, upper=None, view_margin=None):
         """
+        Set the lower and upper numerical bounds of the y-axis.
+
+        This method will honor axis inversion regardless of parameter order.
+        It will not change the autoscaling setting (`.get_autoscaley_on()`).
+
+        Parameters
+        ----------
+        lower, upper : float or None
+            The lower and upper bounds. If *None*, the respective axis bound
+            is not modified.
+        view_margin : float or None
+            The margin to apply to the bounds. If *None*, the margin is handled
+            by `.set_ylim`.
+
+        See Also
+        --------
+        get_ybound
+        get_ylim, set_ylim
+        invert_yaxis, yaxis_inverted
+        """
+        self._set_bound3d(self.get_ybound, self.set_ylim, self.yaxis_inverted,
+                          lower, upper, view_margin)
 
-    def get_zlim3d(self):
-        '''Get 3D z limits.'''
-        return self.zz_viewLim.intervalx
-    get_zlim = get_zlim3d
+    def set_zbound(self, lower=None, upper=None, view_margin=None):
+        """
+        Set the lower and upper numerical bounds of the z-axis.
+        This method will honor axis inversion regardless of parameter order.
+        It will not change the autoscaling setting (`.get_autoscaley_on()`).
+
+        Parameters
+        ----------
+        lower, upper : float or None
+            The lower and upper bounds. If *None*, the respective axis bound
+            is not modified.
+        view_margin : float or None
+            The margin to apply to the bounds. If *None*, the margin is handled
+            by `.set_zlim`.
+
+        See Also
+        --------
+        get_zbound
+        get_zlim, set_zlim
+        invert_zaxis, zaxis_inverted
+        """
+        self._set_bound3d(self.get_zbound, self.set_zlim, self.zaxis_inverted,
+                          lower, upper, view_margin)
 
-    def get_zscale(self) :
+    def _set_lim3d(self, axis, lower=None, upper=None, *, emit=True,
+                   auto=False, view_margin=None, axmin=None, axmax=None):
         """
-        Return the zaxis scale string %s
+        Set 3D axis limits.
+        """
+        if upper is None:
+            if np.iterable(lower):
+                lower, upper = lower
+            elif axmax is None:
+                upper = axis.get_view_interval()[1]
+        if lower is None and axmin is None:
+            lower = axis.get_view_interval()[0]
+        if axmin is not None:
+            if lower is not None:
+                raise TypeError("Cannot pass both 'lower' and 'min'")
+            lower = axmin
+        if axmax is not None:
+            if upper is not None:
+                raise TypeError("Cannot pass both 'upper' and 'max'")
+            upper = axmax
+        if np.isinf(lower) or np.isinf(upper):
+            raise ValueError(f"Axis limits {lower}, {upper} cannot be infinite")
+        if view_margin is None:
+            if mpl.rcParams['axes3d.automargin']:
+                view_margin = self._view_margin
+            else:
+                view_margin = 0
+        delta = (upper - lower) * view_margin
+        lower -= delta
+        upper += delta
+        return axis._set_lim(lower, upper, emit=emit, auto=auto)
+
+    def set_xlim(self, left=None, right=None, *, emit=True, auto=False,
+                 view_margin=None, xmin=None, xmax=None):
+        """
+        Set the 3D x-axis view limits.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """ % (", ".join(mscale.get_scale_names()))
-        return self.zaxis.get_scale()
+        Parameters
+        ----------
+        left : float, optional
+            The left xlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-    # We need to slightly redefine these to pass scalez=False
-    # to their calls of autoscale_view.
-    def set_xscale(self, value, **kwargs) :
-        self.xaxis._set_scale(value, **kwargs)
-        self.autoscale_view(scaley=False, scalez=False)
-        self._update_transScale()
-    set_xscale.__doc__ = maxes.Axes.set_xscale.__doc__ + """
+            The left and right xlims may also be passed as the tuple
+            (*left*, *right*) as the first positional argument (or as
+            the *left* keyword argument).
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
+            .. ACCEPTS: (left: float, right: float)
 
-    def set_yscale(self, value, **kwargs) :
-        self.yaxis._set_scale(value, **kwargs)
-        self.autoscale_view(scalex=False, scalez=False)
-        self._update_transScale()
-    set_yscale.__doc__ = maxes.Axes.set_yscale.__doc__ + """
+        right : float, optional
+            The right xlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
+        emit : bool, default: True
+            Whether to notify observers of limit change.
 
-    @docstring.dedent_interpd
-    def set_zscale(self, value, **kwargs) :
-        """
-        call signature::
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the x-axis. *True* turns on,
+            *False* turns off, *None* leaves unchanged.
 
-          set_zscale(value)
+        view_margin : float, optional
+            The additional margin to apply to the limits.
 
-        Set the scaling of the z-axis: %(scale)s
+        xmin, xmax : float, optional
+            They are equivalent to left and right respectively, and it is an
+            error to pass both *xmin* and *left* or *xmax* and *right*.
 
-        ACCEPTS: [%(scale)s]
+        Returns
+        -------
+        left, right : (float, float)
+            The new x-axis limits in data coordinates.
 
-        Different kwargs are accepted, depending on the scale:
-        %(scale_docs)s
+        See Also
+        --------
+        get_xlim
+        set_xbound, get_xbound
+        invert_xaxis, xaxis_inverted
 
-        .. note ::
-            Currently, Axes3D objects only supports linear scales.
-            Other scales may or may not work, and support for these
-            is improving with each release.
+        Notes
+        -----
+        The *left* value may be greater than the *right* value, in which
+        case the x-axis values will decrease from *left* to *right*.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
-        self.zaxis._set_scale(value, **kwargs)
-        self.autoscale_view(scalex=False, scaley=False)
-        self._update_transScale()
+        Examples
+        --------
+        >>> set_xlim(left, right)
+        >>> set_xlim((left, right))
+        >>> left, right = set_xlim(left, right)
 
-    def set_zticks(self, *args, **kwargs):
-        """
-        Set z-axis tick locations.
-        See :meth:`matplotlib.axes.Axes.set_yticks` for more details.
+        One limit may be left unchanged.
 
-        .. note::
-            Minor ticks are not supported.
+        >>> set_xlim(right=right_lim)
 
-        .. versionadded:: 1.1.0
-        """
-        return self.zaxis.set_ticks(*args, **kwargs)
+        Limits may be passed in reverse order to flip the direction of
+        the x-axis. For example, suppose ``x`` represents depth of the
+        ocean in m. The x-axis limits might be set like the following
+        so 5000 m depth is at the left of the plot and the surface,
+        0 m, is at the right.
 
-    def get_zticks(self, minor=False):
+        >>> set_xlim(5000, 0)
         """
-        Return the z ticks as a list of locations
-        See :meth:`matplotlib.axes.Axes.get_yticks` for more details.
-
-        .. note::
-            Minor ticks are not supported.
+        return self._set_lim3d(self.xaxis, left, right, emit=emit, auto=auto,
+                               view_margin=view_margin, axmin=xmin, axmax=xmax)
 
-        .. versionadded:: 1.1.0
+    def set_ylim(self, bottom=None, top=None, *, emit=True, auto=False,
+                 view_margin=None, ymin=None, ymax=None):
         """
-        return self.zaxis.get_ticklocs(minor=minor)
+        Set the 3D y-axis view limits.
 
-    def get_zmajorticklabels(self) :
-        """
-        Get the ztick labels as a list of Text instances
+        Parameters
+        ----------
+        bottom : float, optional
+            The bottom ylim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-        .. versionadded :: 1.1.0
-        """
-        return cbook.silent_list('Text zticklabel',
-                                 self.zaxis.get_majorticklabels())
+            The bottom and top ylims may also be passed as the tuple
+            (*bottom*, *top*) as the first positional argument (or as
+            the *bottom* keyword argument).
 
-    def get_zminorticklabels(self) :
-        """
-        Get the ztick labels as a list of Text instances
+            .. ACCEPTS: (bottom: float, top: float)
 
-        .. note::
-            Minor ticks are not supported. This function was added
-            only for completeness.
+        top : float, optional
+            The top ylim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-        .. versionadded :: 1.1.0
-        """
-        return cbook.silent_list('Text zticklabel',
-                                 self.zaxis.get_minorticklabels())
+        emit : bool, default: True
+            Whether to notify observers of limit change.
 
-    def set_zticklabels(self, *args, **kwargs) :
-        """
-        Set z-axis tick labels.
-        See :meth:`matplotlib.axes.Axes.set_yticklabels` for more details.
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the y-axis. *True* turns on,
+            *False* turns off, *None* leaves unchanged.
 
-        .. note::
-            Minor ticks are not supported by Axes3D objects.
+        view_margin : float, optional
+            The additional margin to apply to the limits.
 
-        .. versionadded:: 1.1.0
-        """
-        return self.zaxis.set_ticklabels(*args, **kwargs)
+        ymin, ymax : float, optional
+            They are equivalent to bottom and top respectively, and it is an
+            error to pass both *ymin* and *bottom* or *ymax* and *top*.
 
-    def get_zticklabels(self, minor=False) :
-        """
-        Get ztick labels as a list of Text instances.
-        See :meth:`matplotlib.axes.Axes.get_yticklabels` for more details.
+        Returns
+        -------
+        bottom, top : (float, float)
+            The new y-axis limits in data coordinates.
 
-        .. note::
-            Minor ticks are not supported.
+        See Also
+        --------
+        get_ylim
+        set_ybound, get_ybound
+        invert_yaxis, yaxis_inverted
 
-        .. versionadded:: 1.1.0
-        """
-        return cbook.silent_list('Text zticklabel',
-                                 self.zaxis.get_ticklabels(minor=minor))
+        Notes
+        -----
+        The *bottom* value may be greater than the *top* value, in which
+        case the y-axis values will decrease from *bottom* to *top*.
 
-    def zaxis_date(self, tz=None) :
-        """
-        Sets up z-axis ticks and labels that treat the z data as dates.
+        Examples
+        --------
+        >>> set_ylim(bottom, top)
+        >>> set_ylim((bottom, top))
+        >>> bottom, top = set_ylim(bottom, top)
 
-        *tz* is a timezone string or :class:`tzinfo` instance.
-        Defaults to rc value.
+        One limit may be left unchanged.
 
-        .. note::
-            This function is merely provided for completeness.
-            Axes3D objects do not officially support dates for ticks,
-            and so this may or may not work as expected.
+        >>> set_ylim(top=top_lim)
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
-        self.zaxis.axis_date(tz)
+        Limits may be passed in reverse order to flip the direction of
+        the y-axis. For example, suppose ``y`` represents depth of the
+        ocean in m. The y-axis limits might be set like the following
+        so 5000 m depth is at the bottom of the plot and the surface,
+        0 m, is at the top.
 
-    def get_zticklines(self) :
+        >>> set_ylim(5000, 0)
         """
-        Get ztick lines as a list of Line2D instances.
-        Note that this function is provided merely for completeness.
-        These lines are re-calculated as the display changes.
+        return self._set_lim3d(self.yaxis, bottom, top, emit=emit, auto=auto,
+                               view_margin=view_margin, axmin=ymin, axmax=ymax)
 
-        .. versionadded:: 1.1.0
+    def set_zlim(self, bottom=None, top=None, *, emit=True, auto=False,
+                 view_margin=None, zmin=None, zmax=None):
         """
-        return self.zaxis.get_ticklines()
+        Set the 3D z-axis view limits.
 
-    def clabel(self, *args, **kwargs):
-        """
-        This function is currently not implemented for 3D axes.
-        Returns *None*.
-        """
-        return None
+        Parameters
+        ----------
+        bottom : float, optional
+            The bottom zlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-    def view_init(self, elev=None, azim=None):
-        """
-        Set the elevation and azimuth of the axes.
+            The bottom and top zlims may also be passed as the tuple
+            (*bottom*, *top*) as the first positional argument (or as
+            the *bottom* keyword argument).
 
-        This can be used to rotate the axes programatically.
+            .. ACCEPTS: (bottom: float, top: float)
 
-        'elev' stores the elevation angle in the z plane.
-        'azim' stores the azimuth angle in the x,y plane.
+        top : float, optional
+            The top zlim in data coordinates. Passing *None* leaves the
+            limit unchanged.
 
-        if elev or azim are None (default), then the initial value
-        is used which was specified in the :class:`Axes3D` constructor.
-        """
+        emit : bool, default: True
+            Whether to notify observers of limit change.
 
-        self.dist = 10
+        auto : bool or None, default: False
+            Whether to turn on autoscaling of the z-axis. *True* turns on,
+            *False* turns off, *None* leaves unchanged.
 
-        if elev is None:
-            self.elev = self.initial_elev
-        else:
-            self.elev = elev
+        view_margin : float, optional
+            The additional margin to apply to the limits.
 
-        if azim is None:
-            self.azim = self.initial_azim
-        else:
-            self.azim = azim
+        zmin, zmax : float, optional
+            They are equivalent to bottom and top respectively, and it is an
+            error to pass both *zmin* and *bottom* or *zmax* and *top*.
 
-    def get_proj(self):
-        """
-        Create the projection matrix from the current viewing position.
+        Returns
+        -------
+        bottom, top : (float, float)
+            The new z-axis limits in data coordinates.
 
-        elev stores the elevation angle in the z plane
-        azim stores the azimuth angle in the x,y plane
+        See Also
+        --------
+        get_zlim
+        set_zbound, get_zbound
+        invert_zaxis, zaxis_inverted
 
-        dist is the distance of the eye viewing point from the object
-        point.
+        Notes
+        -----
+        The *bottom* value may be greater than the *top* value, in which
+        case the z-axis values will decrease from *bottom* to *top*.
 
-        """
-        relev, razim = np.pi * self.elev/180, np.pi * self.azim/180
+        Examples
+        --------
+        >>> set_zlim(bottom, top)
+        >>> set_zlim((bottom, top))
+        >>> bottom, top = set_zlim(bottom, top)
 
-        xmin, xmax = self.get_xlim3d()
-        ymin, ymax = self.get_ylim3d()
-        zmin, zmax = self.get_zlim3d()
+        One limit may be left unchanged.
 
-        # transform to uniform world coordinates 0-1.0,0-1.0,0-1.0
-        worldM = proj3d.world_transformation(xmin, xmax,
-                                             ymin, ymax,
-                                             zmin, zmax)
+        >>> set_zlim(top=top_lim)
 
-        # look into the middle of the new coordinates
-        R = np.array([0.5, 0.5, 0.5])
+        Limits may be passed in reverse order to flip the direction of
+        the z-axis. For example, suppose ``z`` represents depth of the
+        ocean in m. The z-axis limits might be set like the following
+        so 5000 m depth is at the bottom of the plot and the surface,
+        0 m, is at the top.
 
-        xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist
-        yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist
-        zp = R[2] + np.sin(relev) * self.dist
-        E = np.array((xp, yp, zp))
+        >>> set_zlim(5000, 0)
+        """
+        return self._set_lim3d(self.zaxis, bottom, top, emit=emit, auto=auto,
+                               view_margin=view_margin, axmin=zmin, axmax=zmax)
 
-        self.eye = E
-        self.vvec = R - E
-        self.vvec = self.vvec / proj3d.mod(self.vvec)
+    set_xlim3d = set_xlim
+    set_ylim3d = set_ylim
+    set_zlim3d = set_zlim
 
-        if abs(relev) > np.pi/2:
-            # upside down
-            V = np.array((0, 0, -1))
-        else:
-            V = np.array((0, 0, 1))
-        zfront, zback = -self.dist, self.dist
+    def get_xlim(self):
+        # docstring inherited
+        return tuple(self.xy_viewLim.intervalx)
 
-        viewM = proj3d.view_transformation(E, R, V)
-        perspM = proj3d.persp_transformation(zfront, zback)
-        M0 = np.dot(viewM, worldM)
-        M = np.dot(perspM, M0)
-        return M
+    def get_ylim(self):
+        # docstring inherited
+        return tuple(self.xy_viewLim.intervaly)
 
-    def mouse_init(self, rotate_btn=1, zoom_btn=3):
-        """Initializes mouse button callbacks to enable 3D rotation of
-        the axes.  Also optionally sets the mouse buttons for 3D rotation
-        and zooming.
+    def get_zlim(self):
+        """
+        Return the 3D z-axis view limits.
+
+        Returns
+        -------
+        left, right : (float, float)
+            The current z-axis limits in data coordinates.
+
+        See Also
+        --------
+        set_zlim
+        set_zbound, get_zbound
+        invert_zaxis, zaxis_inverted
+
+        Notes
+        -----
+        The z-axis may be inverted, in which case the *left* value will
+        be greater than the *right* value.
+        """
+        return tuple(self.zz_viewLim.intervalx)
 
-        ============  =======================================================
-        Argument      Description
-        ============  =======================================================
-        *rotate_btn*  The integer or list of integers specifying which mouse
-                      button or buttons to use for 3D rotation of the axes.
-                      Default = 1.
+    get_zscale = _axis_method_wrapper("zaxis", "get_scale")
 
-        *zoom_btn*    The integer or list of integers specifying which mouse
-                      button or buttons to use to zoom the 3D axes.
-                      Default = 3.
-        ============  =======================================================
+    # Redefine all three methods to overwrite their docstrings.
+    set_xscale = _axis_method_wrapper("xaxis", "_set_axes_scale")
+    set_yscale = _axis_method_wrapper("yaxis", "_set_axes_scale")
+    set_zscale = _axis_method_wrapper("zaxis", "_set_axes_scale")
+    set_xscale.__doc__, set_yscale.__doc__, set_zscale.__doc__ = map(
+        """
+        Set the {}-axis scale.
+
+        Parameters
+        ----------
+        value : {{"linear"}}
+            The axis scale type to apply.  3D Axes currently only support
+            linear scales; other scales yield nonsensical results.
+
+        **kwargs
+            Keyword arguments are nominally forwarded to the scale class, but
+            none of them is applicable for linear scales.
+        """.format,
+        ["x", "y", "z"])
+
+    get_zticks = _axis_method_wrapper("zaxis", "get_ticklocs")
+    set_zticks = _axis_method_wrapper("zaxis", "set_ticks")
+    get_zmajorticklabels = _axis_method_wrapper("zaxis", "get_majorticklabels")
+    get_zminorticklabels = _axis_method_wrapper("zaxis", "get_minorticklabels")
+    get_zticklabels = _axis_method_wrapper("zaxis", "get_ticklabels")
+    set_zticklabels = _axis_method_wrapper(
+        "zaxis", "set_ticklabels",
+        doc_sub={"Axis.set_ticks": "Axes3D.set_zticks"})
+
+    zaxis_date = _axis_method_wrapper("zaxis", "axis_date")
+    if zaxis_date.__doc__:
+        zaxis_date.__doc__ += textwrap.dedent("""
+
+        Notes
+        -----
+        This function is merely provided for completeness, but 3D Axes do not
+        support dates for ticks, and so this may not work as expected.
+        """)
 
+    def clabel(self, *args, **kwargs):
+        """Currently not implemented for 3D Axes, and returns *None*."""
+        return None
+
+    def view_init(self, elev=None, azim=None, roll=None, vertical_axis="z",
+                  share=False):
         """
-        self.button_pressed = None
-        canv = self.figure.canvas
-        if canv is not None:
-            c1 = canv.mpl_connect('motion_notify_event', self._on_move)
-            c2 = canv.mpl_connect('button_press_event', self._button_press)
-            c3 = canv.mpl_connect('button_release_event', self._button_release)
-            self._cids = [c1, c2, c3]
+        Set the elevation and azimuth of the Axes in degrees (not radians).
+
+        This can be used to rotate the Axes programmatically.
+
+        To look normal to the primary planes, the following elevation and
+        azimuth angles can be used. A roll angle of 0, 90, 180, or 270 deg
+        will rotate these views while keeping the axes at right angles.
+
+        ==========   ====  ====
+        view plane   elev  azim
+        ==========   ====  ====
+        XY           90    -90
+        XZ           0     -90
+        YZ           0     0
+        -XY          -90   90
+        -XZ          0     90
+        -YZ          0     180
+        ==========   ====  ====
+
+        Parameters
+        ----------
+        elev : float, default: None
+            The elevation angle in degrees rotates the camera above the plane
+            pierced by the vertical axis, with a positive angle corresponding
+            to a location above that plane. For example, with the default
+            vertical axis of 'z', the elevation defines the angle of the camera
+            location above the x-y plane.
+            If None, then the initial value as specified in the `Axes3D`
+            constructor is used.
+        azim : float, default: None
+            The azimuthal angle in degrees rotates the camera about the
+            vertical axis, with a positive angle corresponding to a
+            right-handed rotation. For example, with the default vertical axis
+            of 'z', a positive azimuth rotates the camera about the origin from
+            its location along the +x axis towards the +y axis.
+            If None, then the initial value as specified in the `Axes3D`
+            constructor is used.
+        roll : float, default: None
+            The roll angle in degrees rotates the camera about the viewing
+            axis. A positive angle spins the camera clockwise, causing the
+            scene to rotate counter-clockwise.
+            If None, then the initial value as specified in the `Axes3D`
+            constructor is used.
+        vertical_axis : {"z", "x", "y"}, default: "z"
+            The axis to align vertically. *azim* rotates about this axis.
+        share : bool, default: False
+            If ``True``, apply the settings to all Axes with shared views.
+        """
+
+        self._dist = 10  # The camera distance from origin. Behaves like zoom
+
+        if elev is None:
+            elev = self.initial_elev
+        if azim is None:
+            azim = self.initial_azim
+        if roll is None:
+            roll = self.initial_roll
+        vertical_axis = _api.check_getitem(
+            {name: idx for idx, name in enumerate(self._axis_names)},
+            vertical_axis=vertical_axis,
+        )
+
+        if share:
+            axes = {sibling for sibling
+                    in self._shared_axes['view'].get_siblings(self)}
         else:
-            warnings.warn('Axes3D.figure.canvas is \'None\', mouse rotation disabled.  Set canvas then call Axes3D.mouse_init().')
+            axes = [self]
 
-        self._rotate_btn = np.atleast_1d(rotate_btn)
-        self._zoom_btn = np.atleast_1d(zoom_btn)
+        for ax in axes:
+            ax.elev = elev
+            ax.azim = azim
+            ax.roll = roll
+            ax._vertical_axis = vertical_axis
 
-    def can_zoom(self) :
+    def set_proj_type(self, proj_type, focal_length=None):
         """
-        Return *True* if this axes supports the zoom box button functionality.
-
-        3D axes objects do not use the zoom box button.
+        Set the projection type.
+
+        Parameters
+        ----------
+        proj_type : {'persp', 'ortho'}
+            The projection type.
+        focal_length : float, default: None
+            For a projection type of 'persp', the focal length of the virtual
+            camera. Must be > 0. If None, defaults to 1.
+            The focal length can be computed from a desired Field Of View via
+            the equation: focal_length = 1/tan(FOV/2)
         """
-        return False
-
-    def can_pan(self) :
+        _api.check_in_list(['persp', 'ortho'], proj_type=proj_type)
+        if proj_type == 'persp':
+            if focal_length is None:
+                focal_length = 1
+            elif focal_length <= 0:
+                raise ValueError(f"focal_length = {focal_length} must be "
+                                 "greater than 0")
+            self._focal_length = focal_length
+        else:  # 'ortho':
+            if focal_length not in (None, np.inf):
+                raise ValueError(f"focal_length = {focal_length} must be "
+                                 f"None for proj_type = {proj_type}")
+            self._focal_length = np.inf
+
+    def _roll_to_vertical(
+        self, arr: "np.typing.ArrayLike", reverse: bool = False
+    ) -> np.ndarray:
         """
-        Return *True* if this axes supports the pan/zoom button functionality.
-
-        3D axes objects do not use the pan/zoom button.
+        Roll arrays to match the different vertical axis.
+
+        Parameters
+        ----------
+        arr : ArrayLike
+            Array to roll.
+        reverse : bool, default: False
+            Reverse the direction of the roll.
         """
-        return False
+        if reverse:
+            return np.roll(arr, (self._vertical_axis - 2) * -1)
+        else:
+            return np.roll(arr, (self._vertical_axis - 2))
 
-    def cla(self):
+    def get_proj(self):
+        """Create the projection matrix from the current viewing position."""
+
+        # Transform to uniform world coordinates 0-1, 0-1, 0-1
+        box_aspect = self._roll_to_vertical(self._box_aspect)
+        worldM = proj3d.world_transformation(
+            *self.get_xlim3d(),
+            *self.get_ylim3d(),
+            *self.get_zlim3d(),
+            pb_aspect=box_aspect,
+        )
+
+        # Look into the middle of the world coordinates:
+        R = 0.5 * box_aspect
+
+        # elev: elevation angle in the z plane.
+        # azim: azimuth angle in the xy plane.
+        # Coordinates for a point that rotates around the box of data.
+        # p0, p1 corresponds to rotating the box only around the vertical axis.
+        # p2 corresponds to rotating the box only around the horizontal axis.
+        elev_rad = np.deg2rad(self.elev)
+        azim_rad = np.deg2rad(self.azim)
+        p0 = np.cos(elev_rad) * np.cos(azim_rad)
+        p1 = np.cos(elev_rad) * np.sin(azim_rad)
+        p2 = np.sin(elev_rad)
+
+        # When changing vertical axis the coordinates changes as well.
+        # Roll the values to get the same behaviour as the default:
+        ps = self._roll_to_vertical([p0, p1, p2])
+
+        # The coordinates for the eye viewing point. The eye is looking
+        # towards the middle of the box of data from a distance:
+        eye = R + self._dist * ps
+
+        # Calculate the viewing axes for the eye position
+        u, v, w = self._calc_view_axes(eye)
+        self._view_u = u  # _view_u is towards the right of the screen
+        self._view_v = v  # _view_v is towards the top of the screen
+        self._view_w = w  # _view_w is out of the screen
+
+        # Generate the view and projection transformation matrices
+        if self._focal_length == np.inf:
+            # Orthographic projection
+            viewM = proj3d._view_transformation_uvw(u, v, w, eye)
+            projM = proj3d._ortho_transformation(-self._dist, self._dist)
+        else:
+            # Perspective projection
+            # Scale the eye dist to compensate for the focal length zoom effect
+            eye_focal = R + self._dist * ps * self._focal_length
+            viewM = proj3d._view_transformation_uvw(u, v, w, eye_focal)
+            projM = proj3d._persp_transformation(-self._dist,
+                                                 self._dist,
+                                                 self._focal_length)
+
+        # Combine all the transformation matrices to get the final projection
+        M0 = np.dot(viewM, worldM)
+        M = np.dot(projM, M0)
+        return M
+
+    def mouse_init(self, rotate_btn=1, pan_btn=2, zoom_btn=3):
         """
-        Clear axes
+        Set the mouse buttons for 3D rotation and zooming.
+
+        Parameters
+        ----------
+        rotate_btn : int or list of int, default: 1
+            The mouse button or buttons to use for 3D rotation of the Axes.
+        pan_btn : int or list of int, default: 2
+            The mouse button or buttons to use to pan the 3D Axes.
+        zoom_btn : int or list of int, default: 3
+            The mouse button or buttons to use to zoom the 3D Axes.
         """
-        # Disabling mouse interaction might have been needed a long
-        # time ago, but I can't find a reason for it now - BVR (2012-03)
-        #self.disable_mouse_rotation()
-        self.zaxis.cla()
+        self.button_pressed = None
+        # coerce scalars into array-like, then convert into
+        # a regular list to avoid comparisons against None
+        # which breaks in recent versions of numpy.
+        self._rotate_btn = np.atleast_1d(rotate_btn).tolist()
+        self._pan_btn = np.atleast_1d(pan_btn).tolist()
+        self._zoom_btn = np.atleast_1d(zoom_btn).tolist()
 
-        if self._sharez is not None:
-            self.zaxis.major = self._sharez.zaxis.major
-            self.zaxis.minor = self._sharez.zaxis.minor
-            z0, z1 = self._sharez.get_zlim()
-            self.set_zlim(z0, z1, emit=False, auto=None)
-            self.zaxis._set_scale(self._sharez.zaxis.get_scale())
-        else:
-            self.zaxis._set_scale('linear')
+    def disable_mouse_rotation(self):
+        """Disable mouse buttons for 3D rotation, panning, and zooming."""
+        self.mouse_init(rotate_btn=[], pan_btn=[], zoom_btn=[])
 
-        self._autoscaleZon = True
-        self._zmargin = 0
+    def can_zoom(self):
+        # doc-string inherited
+        return True
 
-        Axes.cla(self)
+    def can_pan(self):
+        # doc-string inherited
+        return True
 
-        self.grid(rcParams['axes3d.grid'])
+    def sharez(self, other):
+        """
+        Share the z-axis with *other*.
 
-    def disable_mouse_rotation(self):
-        """Disable mouse button callbacks.
+        This is equivalent to passing ``sharez=other`` when constructing the
+        Axes, and cannot be used if the z-axis is already being shared with
+        another Axes.  Note that it is not possible to unshare axes.
+        """
+        _api.check_isinstance(Axes3D, other=other)
+        if self._sharez is not None and other is not self._sharez:
+            raise ValueError("z-axis is already shared")
+        self._shared_axes["z"].join(self, other)
+        self._sharez = other
+        self.zaxis.major = other.zaxis.major  # Ticker instances holding
+        self.zaxis.minor = other.zaxis.minor  # locator and formatter.
+        z0, z1 = other.get_zlim()
+        self.set_zlim(z0, z1, emit=False, auto=other.get_autoscalez_on())
+        self.zaxis._scale = other.zaxis._scale
+
+    def shareview(self, other):
         """
-        # Disconnect the various events we set.
-        for cid in self._cids:
-            self.figure.canvas.mpl_disconnect(cid)
+        Share the view angles with *other*.
+
+        This is equivalent to passing ``shareview=other`` when constructing the
+        Axes, and cannot be used if the view angles are already being shared
+        with another Axes.  Note that it is not possible to unshare axes.
+        """
+        _api.check_isinstance(Axes3D, other=other)
+        if self._shareview is not None and other is not self._shareview:
+            raise ValueError("view angles are already shared")
+        self._shared_axes["view"].join(self, other)
+        self._shareview = other
+        vertical_axis = self._axis_names[other._vertical_axis]
+        self.view_init(elev=other.elev, azim=other.azim, roll=other.roll,
+                       vertical_axis=vertical_axis, share=True)
+
+    def clear(self):
+        # docstring inherited.
+        super().clear()
+        if self._focal_length == np.inf:
+            self._zmargin = mpl.rcParams['axes.zmargin']
+        else:
+            self._zmargin = 0.
+
+        xymargin = 0.05 * 10/11  # match mpl3.8 appearance
+        self.xy_dataLim = Bbox([[xymargin, xymargin],
+                                [1 - xymargin, 1 - xymargin]])
+        # z-limits are encoded in the x-component of the Bbox, y is un-used
+        self.zz_dataLim = Bbox.unit()
+        self._view_margin = 1/48  # default value to match mpl3.8
+        self.autoscale_view()
 
-        self._cids = []
+        self.grid(mpl.rcParams['axes3d.grid'])
 
     def _button_press(self, event):
         if event.inaxes == self:
             self.button_pressed = event.button
-            self.sx, self.sy = event.xdata, event.ydata
+            self._sx, self._sy = event.xdata, event.ydata
+            toolbar = self.get_figure(root=True).canvas.toolbar
+            if toolbar and toolbar._nav_stack() is None:
+                toolbar.push_current()
+            if toolbar:
+                toolbar.set_message(toolbar._mouse_event_to_message(event))
 
     def _button_release(self, event):
         self.button_pressed = None
+        toolbar = self.get_figure(root=True).canvas.toolbar
+        # backend_bases.release_zoom and backend_bases.release_pan call
+        # push_current, so check the navigation mode so we don't call it twice
+        if toolbar and self.get_navigate_mode() is None:
+            toolbar.push_current()
+        if toolbar:
+            toolbar.set_message(toolbar._mouse_event_to_message(event))
+
+    def _get_view(self):
+        # docstring inherited
+        return {
+            "xlim": self.get_xlim(), "autoscalex_on": self.get_autoscalex_on(),
+            "ylim": self.get_ylim(), "autoscaley_on": self.get_autoscaley_on(),
+            "zlim": self.get_zlim(), "autoscalez_on": self.get_autoscalez_on(),
+        }, (self.elev, self.azim, self.roll)
+
+    def _set_view(self, view):
+        # docstring inherited
+        props, (elev, azim, roll) = view
+        self.set(**props)
+        self.elev = elev
+        self.azim = azim
+        self.roll = roll
 
     def format_zdata(self, z):
         """
         Return *z* string formatted.  This function will use the
-        :attr:`fmt_zdata` attribute if it is callable, else will fall
+        :attr:`!fmt_zdata` attribute if it is callable, else will fall
         back on the zaxis major formatter
         """
-        try: return self.fmt_zdata(z)
+        try:
+            return self.fmt_zdata(z)
         except (AttributeError, TypeError):
             func = self.zaxis.get_major_formatter().format_data_short
             val = func(z)
             return val
 
-    def format_coord(self, xd, yd):
+    def format_coord(self, xv, yv, renderer=None):
         """
-        Given the 2D view coordinates attempt to guess a 3D coordinate.
-        Looks for the nearest edge to the point and then assumes that
-        the point is at the same z location as the nearest point on the edge.
+        Return a string giving the current view rotation angles, or the x, y, z
+        coordinates of the point on the nearest axis pane underneath the mouse
+        cursor, depending on the mouse button pressed.
         """
-
-        if self.M is None:
-            return ''
+        coords = ''
 
         if self.button_pressed in self._rotate_btn:
-            return 'azimuth=%d deg, elevation=%d deg ' % (self.azim, self.elev)
-            # ignore xd and yd and display angles instead
-
-        p = (xd, yd)
-        edges = self.tunit_edges()
-        #lines = [proj3d.line2d(p0,p1) for (p0,p1) in edges]
-        ldists = [(proj3d.line2d_seg_dist(p0, p1, p), i) for \
-                i, (p0, p1) in enumerate(edges)]
-        ldists.sort()
-        # nearest edge
-        edgei = ldists[0][1]
-
-        p0, p1 = edges[edgei]
-
-        # scale the z value to match
-        x0, y0, z0 = p0
-        x1, y1, z1 = p1
-        d0 = np.hypot(x0-xd, y0-yd)
-        d1 = np.hypot(x1-xd, y1-yd)
-        dt = d0+d1
-        z = d1/dt * z0 + d0/dt * z1
-
-        x, y, z = proj3d.inv_transform(xd, yd, z, self.M)
-
-        xs = self.format_xdata(x)
-        ys = self.format_ydata(y)
-        zs = self.format_zdata(z)
-        return 'x=%s, y=%s, z=%s' % (xs, ys, zs)
+            # ignore xv and yv and display angles instead
+            coords = self._rotation_coords()
+
+        elif self.M is not None:
+            coords = self._location_coords(xv, yv, renderer)
+
+        return coords
+
+    def _rotation_coords(self):
+        """
+        Return the rotation angles as a string.
+        """
+        norm_elev = art3d._norm_angle(self.elev)
+        norm_azim = art3d._norm_angle(self.azim)
+        norm_roll = art3d._norm_angle(self.roll)
+        coords = (f"elevation={norm_elev:.0f}\N{DEGREE SIGN}, "
+                  f"azimuth={norm_azim:.0f}\N{DEGREE SIGN}, "
+                  f"roll={norm_roll:.0f}\N{DEGREE SIGN}"
+                  ).replace("-", "\N{MINUS SIGN}")
+        return coords
+
+    def _location_coords(self, xv, yv, renderer):
+        """
+        Return the location on the axis pane underneath the cursor as a string.
+        """
+        p1, pane_idx = self._calc_coord(xv, yv, renderer)
+        xs = self.format_xdata(p1[0])
+        ys = self.format_ydata(p1[1])
+        zs = self.format_zdata(p1[2])
+        if pane_idx == 0:
+            coords = f'x pane={xs}, y={ys}, z={zs}'
+        elif pane_idx == 1:
+            coords = f'x={xs}, y pane={ys}, z={zs}'
+        elif pane_idx == 2:
+            coords = f'x={xs}, y={ys}, z pane={zs}'
+        return coords
+
+    def _get_camera_loc(self):
+        """
+        Returns the current camera location in data coordinates.
+        """
+        cx, cy, cz, dx, dy, dz = self._get_w_centers_ranges()
+        c = np.array([cx, cy, cz])
+        r = np.array([dx, dy, dz])
+
+        if self._focal_length == np.inf:  # orthographic projection
+            focal_length = 1e9  # large enough to be effectively infinite
+        else:  # perspective projection
+            focal_length = self._focal_length
+        eye = c + self._view_w * self._dist * r / self._box_aspect * focal_length
+        return eye
+
+    def _calc_coord(self, xv, yv, renderer=None):
+        """
+        Given the 2D view coordinates, find the point on the nearest axis pane
+        that lies directly below those coordinates. Returns a 3D point in data
+        coordinates.
+        """
+        if self._focal_length == np.inf:  # orthographic projection
+            zv = 1
+        else:  # perspective projection
+            zv = -1 / self._focal_length
+
+        # Convert point on view plane to data coordinates
+        p1 = np.array(proj3d.inv_transform(xv, yv, zv, self.invM)).ravel()
+
+        # Get the vector from the camera to the point on the view plane
+        vec = self._get_camera_loc() - p1
+
+        # Get the pane locations for each of the axes
+        pane_locs = []
+        for axis in self._axis_map.values():
+            xys, loc = axis.active_pane()
+            pane_locs.append(loc)
+
+        # Find the distance to the nearest pane by projecting the view vector
+        scales = np.zeros(3)
+        for i in range(3):
+            if vec[i] == 0:
+                scales[i] = np.inf
+            else:
+                scales[i] = (p1[i] - pane_locs[i]) / vec[i]
+        pane_idx = np.argmin(abs(scales))
+        scale = scales[pane_idx]
+
+        # Calculate the point on the closest pane
+        p2 = p1 - scale*vec
+        return p2, pane_idx
+
+    def _arcball(self, x: float, y: float) -> np.ndarray:
+        """
+        Convert a point (x, y) to a point on a virtual trackball.
+
+        This is Ken Shoemake's arcball (a sphere), modified
+        to soften the abrupt edge (optionally).
+        See: Ken Shoemake, "ARCBALL: A user interface for specifying
+        three-dimensional rotation using a mouse." in
+        Proceedings of Graphics Interface '92, 1992, pp. 151-156,
+        https://doi.org/10.20380/GI1992.18
+        The smoothing of the edge is inspired by Gavin Bell's arcball
+        (a sphere combined with a hyperbola), but here, the sphere
+        is combined with a section of a cylinder, so it has finite support.
+        """
+        s = mpl.rcParams['axes3d.trackballsize'] / 2
+        b = mpl.rcParams['axes3d.trackballborder'] / s
+        x /= s
+        y /= s
+        r2 = x*x + y*y
+        r = np.sqrt(r2)
+        ra = 1 + b
+        a = b * (1 + b/2)
+        ri = 2/(ra + 1/ra)
+        if r < ri:
+            p = np.array([np.sqrt(1 - r2), x, y])
+        elif r < ra:
+            dr = ra - r
+            p = np.array([a - np.sqrt((a + dr) * (a - dr)), x, y])
+            p /= np.linalg.norm(p)
+        else:
+            p = np.array([0, x/r, y/r])
+        return p
 
     def _on_move(self, event):
-        """Mouse moving
+        """
+        Mouse moving.
 
-        button-1 rotates by default.  Can be set explicitly in mouse_init().
-        button-3 zooms by default.  Can be set explicitly in mouse_init().
+        By default, button-1 rotates, button-2 pans, and button-3 zooms;
+        these buttons can be modified via `mouse_init`.
         """
 
         if not self.button_pressed:
             return
 
+        if self.get_navigate_mode() is not None:
+            # we don't want to rotate if we are zooming/panning
+            # from the toolbar
+            return
+
         if self.M is None:
             return
 
         x, y = event.xdata, event.ydata
         # In case the mouse is out of bounds.
-        if x is None:
+        if x is None or event.inaxes != self:
             return
 
-        dx, dy = x - self.sx, y - self.sy
+        dx, dy = x - self._sx, y - self._sy
         w = self._pseudo_w
         h = self._pseudo_h
-        self.sx, self.sy = x, y
 
         # Rotation
         if self.button_pressed in self._rotate_btn:
@@ -1150,234 +1575,306 @@ def _on_move(self, event):
             # get the x and y pixel coords
             if dx == 0 and dy == 0:
                 return
-            self.elev = art3d.norm_angle(self.elev - (dy/h)*180)
-            self.azim = art3d.norm_angle(self.azim - (dx/w)*180)
-            self.get_proj()
-            self.figure.canvas.draw_idle()
 
-#        elif self.button_pressed == 2:
-            # pan view
-            # project xv,yv,zv -> xw,yw,zw
-            # pan
-#            pass
+            style = mpl.rcParams['axes3d.mouserotationstyle']
+            if style == 'azel':
+                roll = np.deg2rad(self.roll)
+                delev = -(dy/h)*180*np.cos(roll) + (dx/w)*180*np.sin(roll)
+                dazim = -(dy/h)*180*np.sin(roll) - (dx/w)*180*np.cos(roll)
+                elev = self.elev + delev
+                azim = self.azim + dazim
+                roll = self.roll
+            else:
+                q = _Quaternion.from_cardan_angles(
+                        *np.deg2rad((self.elev, self.azim, self.roll)))
+
+                if style == 'trackball':
+                    k = np.array([0, -dy/h, dx/w])
+                    nk = np.linalg.norm(k)
+                    th = nk / mpl.rcParams['axes3d.trackballsize']
+                    dq = _Quaternion(np.cos(th), k*np.sin(th)/nk)
+                else:  # 'sphere', 'arcball'
+                    current_vec = self._arcball(self._sx/w, self._sy/h)
+                    new_vec = self._arcball(x/w, y/h)
+                    if style == 'sphere':
+                        dq = _Quaternion.rotate_from_to(current_vec, new_vec)
+                    else:  # 'arcball'
+                        dq = _Quaternion(0, new_vec) * _Quaternion(0, -current_vec)
+
+                q = dq * q
+                elev, azim, roll = np.rad2deg(q.as_cardan_angles())
+
+            # update view
+            vertical_axis = self._axis_names[self._vertical_axis]
+            self.view_init(
+                elev=elev,
+                azim=azim,
+                roll=roll,
+                vertical_axis=vertical_axis,
+                share=True,
+            )
+            self.stale = True
+
+        # Pan
+        elif self.button_pressed in self._pan_btn:
+            # Start the pan event with pixel coordinates
+            px, py = self.transData.transform([self._sx, self._sy])
+            self.start_pan(px, py, 2)
+            # pan view (takes pixel coordinate input)
+            self.drag_pan(2, None, event.x, event.y)
+            self.end_pan()
 
         # Zoom
         elif self.button_pressed in self._zoom_btn:
-            # zoom view
-            # hmmm..this needs some help from clipping....
-            minx, maxx, miny, maxy, minz, maxz = self.get_w_lims()
-            df = 1-((h - dy)/h)
-            dx = (maxx-minx)*df
-            dy = (maxy-miny)*df
-            dz = (maxz-minz)*df
-            self.set_xlim3d(minx - dx, maxx + dx)
-            self.set_ylim3d(miny - dy, maxy + dy)
-            self.set_zlim3d(minz - dz, maxz + dz)
-            self.get_proj()
-            self.figure.canvas.draw_idle()
+            # zoom view (dragging down zooms in)
+            scale = h/(h - dy)
+            self._scale_axis_limits(scale, scale, scale)
+
+        # Store the event coordinates for the next time through.
+        self._sx, self._sy = x, y
+        # Always request a draw update at the end of interaction
+        self.get_figure(root=True).canvas.draw_idle()
+
+    def drag_pan(self, button, key, x, y):
+        # docstring inherited
+
+        # Get the coordinates from the move event
+        p = self._pan_start
+        (xdata, ydata), (xdata_start, ydata_start) = p.trans_inverse.transform(
+            [(x, y), (p.x, p.y)])
+        self._sx, self._sy = xdata, ydata
+        # Calling start_pan() to set the x/y of this event as the starting
+        # move location for the next event
+        self.start_pan(x, y, button)
+        du, dv = xdata - xdata_start, ydata - ydata_start
+        dw = 0
+        if key == 'x':
+            dv = 0
+        elif key == 'y':
+            du = 0
+        if du == 0 and dv == 0:
+            return
 
-    def set_zlabel(self, zlabel, fontdict=None, labelpad=None, **kwargs):
-        '''
-        Set zlabel.  See doc for :meth:`set_ylabel` for description.
+        # Transform the pan from the view axes to the data axes
+        R = np.array([self._view_u, self._view_v, self._view_w])
+        R = -R / self._box_aspect * self._dist
+        duvw_projected = R.T @ np.array([du, dv, dw])
 
-        .. note::
-            Currently, *labelpad* does not have an effect on the labels.
-        '''
-        # FIXME: With a rework of axis3d.py, the labelpad should work again
-        #        At that point, remove the above message in the docs.
-        if labelpad is not None : self.zaxis.labelpad = labelpad
-        return self.zaxis.set_label_text(zlabel, fontdict, **kwargs)
+        # Calculate pan distance
+        minx, maxx, miny, maxy, minz, maxz = self.get_w_lims()
+        dx = (maxx - minx) * duvw_projected[0]
+        dy = (maxy - miny) * duvw_projected[1]
+        dz = (maxz - minz) * duvw_projected[2]
 
-    def get_zlabel(self) :
-        """
-        Get the z-label text string.
+        # Set the new axis limits
+        self.set_xlim3d(minx + dx, maxx + dx, auto=None)
+        self.set_ylim3d(miny + dy, maxy + dy, auto=None)
+        self.set_zlim3d(minz + dz, maxz + dz, auto=None)
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+    def _calc_view_axes(self, eye):
         """
-        label = self.zaxis.get_label()
-        return label.get_text()
+        Get the unit vectors for the viewing axes in data coordinates.
+        `u` is towards the right of the screen
+        `v` is towards the top of the screen
+        `w` is out of the screen
+        """
+        elev_rad = np.deg2rad(art3d._norm_angle(self.elev))
+        roll_rad = np.deg2rad(art3d._norm_angle(self.roll))
 
-    #### Axes rectangle characteristics
+        # Look into the middle of the world coordinates
+        R = 0.5 * self._roll_to_vertical(self._box_aspect)
 
-    def get_frame_on(self):
-        """
-        Get whether the 3D axes panels are drawn
+        # Define which axis should be vertical. A negative value
+        # indicates the plot is upside down and therefore the values
+        # have been reversed:
+        V = np.zeros(3)
+        V[self._vertical_axis] = -1 if abs(elev_rad) > np.pi/2 else 1
+
+        u, v, w = proj3d._view_axes(eye, R, V, roll_rad)
+        return u, v, w
 
-        .. versionadded :: 1.1.0
+    def _set_view_from_bbox(self, bbox, direction='in',
+                            mode=None, twinx=False, twiny=False):
         """
-        return self._frameon
+        Zoom in or out of the bounding box.
 
-    def set_frame_on(self, b):
+        Will center the view in the center of the bounding box, and zoom by
+        the ratio of the size of the bounding box to the size of the Axes3D.
+        """
+        (start_x, start_y, stop_x, stop_y) = bbox
+        if mode == 'x':
+            start_y = self.bbox.min[1]
+            stop_y = self.bbox.max[1]
+        elif mode == 'y':
+            start_x = self.bbox.min[0]
+            stop_x = self.bbox.max[0]
+
+        # Clip to bounding box limits
+        start_x, stop_x = np.clip(sorted([start_x, stop_x]),
+                                  self.bbox.min[0], self.bbox.max[0])
+        start_y, stop_y = np.clip(sorted([start_y, stop_y]),
+                                  self.bbox.min[1], self.bbox.max[1])
+
+        # Move the center of the view to the center of the bbox
+        zoom_center_x = (start_x + stop_x)/2
+        zoom_center_y = (start_y + stop_y)/2
+
+        ax_center_x = (self.bbox.max[0] + self.bbox.min[0])/2
+        ax_center_y = (self.bbox.max[1] + self.bbox.min[1])/2
+
+        self.start_pan(zoom_center_x, zoom_center_y, 2)
+        self.drag_pan(2, None, ax_center_x, ax_center_y)
+        self.end_pan()
+
+        # Calculate zoom level
+        dx = abs(start_x - stop_x)
+        dy = abs(start_y - stop_y)
+        scale_u = dx / (self.bbox.max[0] - self.bbox.min[0])
+        scale_v = dy / (self.bbox.max[1] - self.bbox.min[1])
+
+        # Keep aspect ratios equal
+        scale = max(scale_u, scale_v)
+
+        # Zoom out
+        if direction == 'out':
+            scale = 1 / scale
+
+        self._zoom_data_limits(scale, scale, scale)
+
+    def _zoom_data_limits(self, scale_u, scale_v, scale_w):
         """
-        Set whether the 3D axes panels are drawn
+        Zoom in or out of a 3D plot.
+
+        Will scale the data limits by the scale factors. These will be
+        transformed to the x, y, z data axes based on the current view angles.
+        A scale factor > 1 zooms out and a scale factor < 1 zooms in.
+
+        For an Axes that has had its aspect ratio set to 'equal', 'equalxy',
+        'equalyz', or 'equalxz', the relevant axes are constrained to zoom
+        equally.
+
+        Parameters
+        ----------
+        scale_u : float
+            Scale factor for the u view axis (view screen horizontal).
+        scale_v : float
+            Scale factor for the v view axis (view screen vertical).
+        scale_w : float
+            Scale factor for the w view axis (view screen depth).
+        """
+        scale = np.array([scale_u, scale_v, scale_w])
 
-        ACCEPTS: [ *True* | *False* ]
+        # Only perform frame conversion if unequal scale factors
+        if not np.allclose(scale, scale_u):
+            # Convert the scale factors from the view frame to the data frame
+            R = np.array([self._view_u, self._view_v, self._view_w])
+            S = scale * np.eye(3)
+            scale = np.linalg.norm(R.T @ S, axis=1)
 
-        .. versionadded :: 1.1.0
-        """
-        self._frameon = bool(b)
+            # Set the constrained scale factors to the factor closest to 1
+            if self._aspect in ('equal', 'equalxy', 'equalxz', 'equalyz'):
+                ax_idxs = self._equal_aspect_axis_indices(self._aspect)
+                min_ax_idxs = np.argmin(np.abs(scale[ax_idxs] - 1))
+                scale[ax_idxs] = scale[ax_idxs][min_ax_idxs]
 
-    def get_axisbelow(self):
-        """
-        Get whether axis below is true or not.
+        self._scale_axis_limits(scale[0], scale[1], scale[2])
 
-        For axes3d objects, this will always be *True*
+    def _scale_axis_limits(self, scale_x, scale_y, scale_z):
+        """
+        Keeping the center of the x, y, and z data axes fixed, scale their
+        limits by scale factors. A scale factor > 1 zooms out and a scale
+        factor < 1 zooms in.
+
+        Parameters
+        ----------
+        scale_x : float
+            Scale factor for the x data axis.
+        scale_y : float
+            Scale factor for the y data axis.
+        scale_z : float
+            Scale factor for the z data axis.
+        """
+        # Get the axis centers and ranges
+        cx, cy, cz, dx, dy, dz = self._get_w_centers_ranges()
+
+        # Set the scaled axis limits
+        self.set_xlim3d(cx - dx*scale_x/2, cx + dx*scale_x/2, auto=None)
+        self.set_ylim3d(cy - dy*scale_y/2, cy + dy*scale_y/2, auto=None)
+        self.set_zlim3d(cz - dz*scale_z/2, cz + dz*scale_z/2, auto=None)
+
+    def _get_w_centers_ranges(self):
+        """Get 3D world centers and axis ranges."""
+        # Calculate center of axis limits
+        minx, maxx, miny, maxy, minz, maxz = self.get_w_lims()
+        cx = (maxx + minx)/2
+        cy = (maxy + miny)/2
+        cz = (maxz + minz)/2
+
+        # Calculate range of axis limits
+        dx = (maxx - minx)
+        dy = (maxy - miny)
+        dz = (maxz - minz)
+        return cx, cy, cz, dx, dy, dz
 
-        .. versionadded :: 1.1.0
-            This function was added for completeness.
+    def set_zlabel(self, zlabel, fontdict=None, labelpad=None, **kwargs):
         """
-        return True
+        Set zlabel.  See doc for `.set_ylabel` for description.
+        """
+        if labelpad is not None:
+            self.zaxis.labelpad = labelpad
+        return self.zaxis.set_label_text(zlabel, fontdict, **kwargs)
 
-    def set_axisbelow(self, b):
+    def get_zlabel(self):
+        """
+        Get the z-label text string.
         """
-        Set whether the axis ticks and gridlines are above or below
-        most artists
+        label = self.zaxis.label
+        return label.get_text()
 
-        For axes3d objects, this will ignore any settings and just use *True*
+    # Axes rectangle characteristics
 
-        ACCEPTS: [ *True* | *False* ]
+    # The frame_on methods are not available for 3D axes.
+    # Python will raise a TypeError if they are called.
+    get_frame_on = None
+    set_frame_on = None
 
-        .. versionadded :: 1.1.0
-            This function was added for completeness.
+    def grid(self, visible=True, **kwargs):
         """
-        self._axisbelow = True
-
-    def grid(self, b=True, **kwargs):
-        '''
         Set / unset 3D grid.
 
         .. note::
 
             Currently, this function does not behave the same as
-            :meth:`matplotlib.axes.Axes.grid`, but it is intended to
-            eventually support that behavior.
-
-        .. versionchanged :: 1.1.0
-            This function was changed, but not tested. Please report any bugs.
-        '''
-        # TODO: Operate on each axes separately
-        if len(kwargs) :
-            b = True
-        self._draw_grid = cbook._string_to_bool(b)
-
-    def ticklabel_format(self, **kwargs) :
-        """
-        Convenience method for manipulating the ScalarFormatter
-        used by default for linear axes in Axed3D objects.
-
-        See :meth:`matplotlib.axes.Axes.ticklabel_format` for full
-        documentation.  Note that this version applies to all three
-        axes of the Axes3D object.  Therefore, the *axis* argument
-        will also accept a value of 'z' and the value of 'both' will
-        apply to all three axes.
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        """
-        style = kwargs.pop('style', '').lower()
-        scilimits = kwargs.pop('scilimits', None)
-        useOffset = kwargs.pop('useOffset', None)
-        axis = kwargs.pop('axis', 'both').lower()
-        if scilimits is not None:
-            try:
-                m, n = scilimits
-                m+n+1  # check that both are numbers
-            except (ValueError, TypeError):
-                raise ValueError("scilimits must be a sequence of 2 integers")
-        if style[:3] == 'sci':
-            sb = True
-        elif style in ['plain', 'comma']:
-            sb = False
-            if style == 'plain':
-                cb = False
-            else:
-                cb = True
-                raise NotImplementedError("comma style remains to be added")
-        elif style == '':
-            sb = None
-        else:
-            raise ValueError("%s is not a valid style value")
-        try:
-            if sb is not None:
-                if axis in ['both', 'z']:
-                    self.xaxis.major.formatter.set_scientific(sb)
-                if axis in ['both', 'y']:
-                    self.yaxis.major.formatter.set_scientific(sb)
-                if axis in ['both', 'z'] :
-                    self.zaxis.major.formatter.set_scientific(sb)
-            if scilimits is not None:
-                if axis in ['both', 'x']:
-                    self.xaxis.major.formatter.set_powerlimits(scilimits)
-                if axis in ['both', 'y']:
-                    self.yaxis.major.formatter.set_powerlimits(scilimits)
-                if axis in ['both', 'z']:
-                    self.zaxis.major.formatter.set_powerlimits(scilimits)
-            if useOffset is not None:
-                if axis in ['both', 'x']:
-                    self.xaxis.major.formatter.set_useOffset(useOffset)
-                if axis in ['both', 'y']:
-                    self.yaxis.major.formatter.set_useOffset(useOffset)
-                if axis in ['both', 'z']:
-                    self.zaxis.major.formatter.set_useOffset(useOffset)
-        except AttributeError:
-            raise AttributeError(
-                "This method only works with the ScalarFormatter.")
-
-    def locator_params(self, axis='both', tight=None, **kwargs) :
-        """
-        Convenience method for controlling tick locators.
-
-        See :meth:`matplotlib.axes.Axes.locator_params` for full
-        documentation  Note that this is for Axes3D objects,
-        therefore, setting *axis* to 'both' will result in the
-        parameters being set for all three axes.  Also, *axis*
-        can also take a value of 'z' to apply parameters to the
-        z axis.
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+            `.axes.Axes.grid`, but it is intended to eventually support that
+            behavior.
         """
-        _x = axis in ['x', 'both']
-        _y = axis in ['y', 'both']
-        _z = axis in ['z', 'both']
-        if _x:
-            self.xaxis.get_major_locator().set_params(**kwargs)
-        if _y:
-            self.yaxis.get_major_locator().set_params(**kwargs)
-        if _z:
-            self.zaxis.get_major_locator().set_params(**kwargs)
-        self.autoscale_view(tight=tight, scalex=_x, scaley=_y, scalez=_z)
+        # TODO: Operate on each axes separately
+        if len(kwargs):
+            visible = True
+        self._draw_grid = visible
+        self.stale = True
 
-    def tick_params(self, axis='both', **kwargs) :
+    def tick_params(self, axis='both', **kwargs):
         """
         Convenience method for changing the appearance of ticks and
         tick labels.
 
-        See :meth:`matplotlib.axes.Axes.tick_params` for more complete
-        documentation.
-
-        The only difference is that setting *axis* to 'both' will
-        mean that the settings are applied to all three axes. Also,
-        the *axis* parameter also accepts a value of 'z', which
-        would mean to apply to only the z-axis.
+        See `.Axes.tick_params` for full documentation.  Because this function
+        applies to 3D Axes, *axis* can also be set to 'z', and setting *axis*
+        to 'both' autoscales all three axes.
 
         Also, because of how Axes3D objects are drawn very differently
-        from regular 2D axes, some of these settings may have
+        from regular 2D Axes, some of these settings may have
         ambiguous meaning.  For simplicity, the 'z' axis will
         accept settings as if it was like the 'y' axis.
 
         .. note::
-            While this function is currently implemented, the core part
-            of the Axes3D object may ignore some of these settings.
-            Future releases will fix this. Priority will be given to
-            those who file bugs.
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+           Axes3D currently ignores some of these settings.
         """
-        Axes.tick_params(self, axis, **kwargs)
-        if axis in ['z', 'both'] :
+        _api.check_in_list(['x', 'y', 'z', 'both'], axis=axis)
+        if axis in ['x', 'y', 'both']:
+            super().tick_params(axis, **kwargs)
+        if axis in ['z', 'both']:
             zkw = dict(kwargs)
             zkw.pop('top', None)
             zkw.pop('bottom', None)
@@ -1385,425 +1882,604 @@ def tick_params(self, axis='both', **kwargs) :
             zkw.pop('labelbottom', None)
             self.zaxis.set_tick_params(**zkw)
 
-    ### data limits, ticks, tick labels, and formatting
+    # data limits, ticks, tick labels, and formatting
 
     def invert_zaxis(self):
         """
-        Invert the z-axis.
+        [*Discouraged*] Invert the z-axis.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        .. admonition:: Discouraged
+
+            The use of this method is discouraged.
+            Use `.Axes3D.set_zinverted` instead.
+
+        See Also
+        --------
+        get_zinverted
+        get_zlim, set_zlim
+        get_zbound, set_zbound
         """
         bottom, top = self.get_zlim()
         self.set_zlim(top, bottom, auto=None)
 
-    def zaxis_inverted(self):
-        '''
-        Returns True if the z-axis is inverted.
+    set_zinverted = _axis_method_wrapper("zaxis", "set_inverted")
+    get_zinverted = _axis_method_wrapper("zaxis", "get_inverted")
+    zaxis_inverted = _axis_method_wrapper("zaxis", "get_inverted")
+    if zaxis_inverted.__doc__:
+        zaxis_inverted.__doc__ = ("[*Discouraged*] " + zaxis_inverted.__doc__ +
+                                  textwrap.dedent("""
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
-        '''
-        bottom, top = self.get_zlim()
-        return top < bottom
+        .. admonition:: Discouraged
+
+            The use of this method is discouraged.
+            Use `.Axes3D.get_zinverted` instead.
+        """))
 
     def get_zbound(self):
         """
-        Returns the z-axis numerical bounds where::
-
-          lowerBound < upperBound
+        Return the lower and upper z-axis bounds, in increasing order.
 
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        See Also
+        --------
+        set_zbound
+        get_zlim, set_zlim
+        invert_zaxis, zaxis_inverted
         """
-        bottom, top = self.get_zlim()
-        if bottom < top:
-            return bottom, top
+        lower, upper = self.get_zlim()
+        if lower < upper:
+            return lower, upper
         else:
-            return top, bottom
+            return upper, lower
 
-    def set_zbound(self, lower=None, upper=None):
+    def text(self, x, y, z, s, zdir=None, *, axlim_clip=False, **kwargs):
         """
-        Set the lower and upper numerical bounds of the z-axis.
-        This method will honor axes inversion regardless of parameter order.
-        It will not change the :attr:`_autoscaleZon` attribute.
-
-        .. versionadded :: 1.1.0
-            This function was added, but not tested. Please report any bugs.
+        Add the text *s* to the 3D Axes at location *x*, *y*, *z* in data coordinates.
+
+        Parameters
+        ----------
+        x, y, z : float
+            The position to place the text.
+        s : str
+            The text.
+        zdir : {'x', 'y', 'z', 3-tuple}, optional
+            The direction to be used as the z-direction. Default: 'z'.
+            See `.get_dir_vector` for a description of the values.
+        axlim_clip : bool, default: False
+            Whether to hide text that is outside the axes view limits.
+
+            .. versionadded:: 3.10
+        **kwargs
+            Other arguments are forwarded to `matplotlib.axes.Axes.text`.
+
+        Returns
+        -------
+        `.Text3D`
+            The created `.Text3D` instance.
         """
-        if upper is None and cbook.iterable(lower):
-            lower,upper = lower
-
-        old_lower,old_upper = self.get_zbound()
-
-        if lower is None: lower = old_lower
-        if upper is None: upper = old_upper
-
-        if self.zaxis_inverted():
-            if lower < upper:
-                self.set_zlim(upper, lower, auto=None)
-            else:
-                self.set_zlim(lower, upper, auto=None)
-        else :
-            if lower < upper:
-                self.set_zlim(lower, upper, auto=None)
-            else :
-                self.set_zlim(upper, lower, auto=None)
-
-
-
-    def text(self, x, y, z, s, zdir=None, **kwargs):
-        '''
-        Add text to the plot. kwargs will be passed on to Axes.text,
-        except for the `zdir` keyword, which sets the direction to be
-        used as the z direction.
-        '''
-        text = Axes.text(self, x, y, s, **kwargs)
-        art3d.text_2d_to_3d(text, z, zdir)
+        text = super().text(x, y, s, **kwargs)
+        art3d.text_2d_to_3d(text, z, zdir, axlim_clip)
         return text
 
     text3D = text
     text2D = Axes.text
 
-    def plot(self, xs, ys, *args, **kwargs):
-        '''
+    def plot(self, xs, ys, *args, zdir='z', axlim_clip=False, **kwargs):
+        """
         Plot 2D or 3D data.
 
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *xs*, *ys*  X, y coordinates of vertices
-
-        *zs*        z value(s), either one for all points or one for
-                    each point.
-        *zdir*      Which direction to use as z ('x', 'y' or 'z')
-                    when plotting a 2D set.
-        ==========  ================================================
-
-        Other arguments are passed on to
-        :func:`~matplotlib.axes.Axes.plot`
-        '''
-        # FIXME: This argument parsing might be better handled
-        #        when we set later versions of python for
-        #        minimum requirements.  Currently at 2.4.
-        #        Note that some of the reason for the current difficulty
-        #        is caused by the fact that we want to insert a new
-        #        (semi-optional) positional argument 'Z' right before
-        #        many other traditional positional arguments occur
-        #        such as the color, linestyle and/or marker.
+        Parameters
+        ----------
+        xs : 1D array-like
+            x coordinates of vertices.
+        ys : 1D array-like
+            y coordinates of vertices.
+        zs : float or 1D array-like
+            z coordinates of vertices; either one for all points or one for
+            each point.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            When plotting 2D data, the direction to use as z.
+        axlim_clip : bool, default: False
+            Whether to hide data that is outside the axes view limits.
+
+            .. versionadded:: 3.10
+        **kwargs
+            Other arguments are forwarded to `matplotlib.axes.Axes.plot`.
+        """
         had_data = self.has_data()
-        zs = kwargs.pop('zs', 0)
-        zdir = kwargs.pop('zdir', 'z')
-
-        argsi = 0
-        # First argument is array of zs
-        if len(args) > 0 and cbook.iterable(args[0]) and \
-                len(xs) == len(args[0]) :
-            # So, we know that it is an array with
-            # first dimension the same as xs.
-            # Next, check to see if the data contained
-            # therein (if any) is scalar (and not another array).
-            if len(args[0]) == 0 or cbook.is_scalar(args[0][0]) :
-                zs = args[argsi]
-                argsi += 1
-
-        # First argument is z value
-        elif len(args) > 0 and cbook.is_scalar(args[0]):
-            zs = args[argsi]
-            argsi += 1
-
-        # Match length
-        if not cbook.iterable(zs):
-            zs = np.ones(len(xs)) * zs
-
-        lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
+
+        # `zs` can be passed positionally or as keyword; checking whether
+        # args[0] is a string matches the behavior of 2D `plot` (via
+        # `_process_plot_var_args`).
+        if args and not isinstance(args[0], str):
+            zs, *args = args
+            if 'zs' in kwargs:
+                raise TypeError("plot() for multiple values for argument 'zs'")
+        else:
+            zs = kwargs.pop('zs', 0)
+
+        xs, ys, zs = cbook._broadcast_with_masks(xs, ys, zs)
+
+        lines = super().plot(xs, ys, *args, **kwargs)
         for line in lines:
-            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)
+            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir, axlim_clip=axlim_clip)
 
+        xs, ys, zs = art3d.juggle_axes(xs, ys, zs, zdir)
         self.auto_scale_xyz(xs, ys, zs, had_data)
         return lines
 
     plot3D = plot
 
-    def plot_surface(self, X, Y, Z, *args, **kwargs):
-        '''
+    def fill_between(self, x1, y1, z1, x2, y2, z2, *,
+                     where=None, mode='auto', facecolors=None, shade=None,
+                     axlim_clip=False, **kwargs):
+        """
+        Fill the area between two 3D curves.
+
+        The curves are defined by the points (*x1*, *y1*, *z1*) and
+        (*x2*, *y2*, *z2*). This creates one or multiple quadrangle
+        polygons that are filled. All points must be the same length N, or a
+        single value to be used for all points.
+
+        Parameters
+        ----------
+        x1, y1, z1 : float or 1D array-like
+            x, y, and z  coordinates of vertices for 1st line.
+
+        x2, y2, z2 : float or 1D array-like
+            x, y, and z coordinates of vertices for 2nd line.
+
+        where : array of bool (length N), optional
+            Define *where* to exclude some regions from being filled. The
+            filled regions are defined by the coordinates ``pts[where]``,
+            for all x, y, and z pts. More precisely, fill between ``pts[i]``
+            and ``pts[i+1]`` if ``where[i] and where[i+1]``. Note that this
+            definition implies that an isolated *True* value between two
+            *False* values in *where* will not result in filling. Both sides of
+            the *True* position remain unfilled due to the adjacent *False*
+            values.
+
+        mode : {'quad', 'polygon', 'auto'}, default: 'auto'
+            The fill mode. One of:
+
+            - 'quad':  A separate quadrilateral polygon is created for each
+              pair of subsequent points in the two lines.
+            - 'polygon': The two lines are connected to form a single polygon.
+              This is faster and can render more cleanly for simple shapes
+              (e.g. for filling between two lines that lie within a plane).
+            - 'auto': If the points all lie on the same 3D plane, 'polygon' is
+              used. Otherwise, 'quad' is used.
+
+        facecolors : list of :mpltype:`color`, default: None
+            Colors of each individual patch, or a single color to be used for
+            all patches.
+
+        shade : bool, default: None
+            Whether to shade the facecolors. If *None*, then defaults to *True*
+            for 'quad' mode and *False* for 'polygon' mode.
+
+        axlim_clip : bool, default: False
+            Whether to hide data that is outside the axes view limits.
+
+            .. versionadded:: 3.10
+
+        **kwargs
+            All other keyword arguments are passed on to `.Poly3DCollection`.
+
+        Returns
+        -------
+        `.Poly3DCollection`
+            A `.Poly3DCollection` containing the plotted polygons.
+
+        """
+        _api.check_in_list(['auto', 'quad', 'polygon'], mode=mode)
+
+        had_data = self.has_data()
+        x1, y1, z1, x2, y2, z2 = cbook._broadcast_with_masks(x1, y1, z1, x2, y2, z2)
+
+        if facecolors is None:
+            facecolors = [self._get_patches_for_fill.get_next_color()]
+        facecolors = list(mcolors.to_rgba_array(facecolors))
+
+        if where is None:
+            where = True
+        else:
+            where = np.asarray(where, dtype=bool)
+            if where.size != x1.size:
+                raise ValueError(f"where size ({where.size}) does not match "
+                                 f"size ({x1.size})")
+        where = where & ~np.isnan(x1)  # NaNs were broadcast in _broadcast_with_masks
+
+        if mode == 'auto':
+            if art3d._all_points_on_plane(np.concatenate((x1[where], x2[where])),
+                                          np.concatenate((y1[where], y2[where])),
+                                          np.concatenate((z1[where], z2[where])),
+                                          atol=1e-12):
+                mode = 'polygon'
+            else:
+                mode = 'quad'
+
+        if shade is None:
+            if mode == 'quad':
+                shade = True
+            else:
+                shade = False
+
+        polys = []
+        for idx0, idx1 in cbook.contiguous_regions(where):
+            x1i = x1[idx0:idx1]
+            y1i = y1[idx0:idx1]
+            z1i = z1[idx0:idx1]
+            x2i = x2[idx0:idx1]
+            y2i = y2[idx0:idx1]
+            z2i = z2[idx0:idx1]
+
+            if not len(x1i):
+                continue
+
+            if mode == 'quad':
+                # Preallocate the array for the region's vertices, and fill it in
+                n_polys_i = len(x1i) - 1
+                polys_i = np.empty((n_polys_i, 4, 3))
+                polys_i[:, 0, :] = np.column_stack((x1i[:-1], y1i[:-1], z1i[:-1]))
+                polys_i[:, 1, :] = np.column_stack((x1i[1:], y1i[1:], z1i[1:]))
+                polys_i[:, 2, :] = np.column_stack((x2i[1:], y2i[1:], z2i[1:]))
+                polys_i[:, 3, :] = np.column_stack((x2i[:-1], y2i[:-1], z2i[:-1]))
+                polys = polys + [*polys_i]
+            elif mode == 'polygon':
+                line1 = np.column_stack((x1i, y1i, z1i))
+                line2 = np.column_stack((x2i[::-1], y2i[::-1], z2i[::-1]))
+                poly = np.concatenate((line1, line2), axis=0)
+                polys.append(poly)
+
+        polyc = art3d.Poly3DCollection(polys, facecolors=facecolors, shade=shade,
+                                       axlim_clip=axlim_clip, **kwargs)
+        self.add_collection(polyc)
+
+        self.auto_scale_xyz([x1, x2], [y1, y2], [z1, z2], had_data)
+        return polyc
+
+    def plot_surface(self, X, Y, Z, *, norm=None, vmin=None,
+                     vmax=None, lightsource=None, axlim_clip=False, **kwargs):
+        """
         Create a surface plot.
 
-        By default it will be colored in shades of a solid color,
-        but it also supports color mapping by supplying the *cmap*
-        argument.
-
-        The `rstride` and `cstride` kwargs set the stride used to
-        sample the input data to generate the graph.  If 1k by 1k
-        arrays are passed in the default values for the strides will
-        result in a 100x100 grid being plotted.
-
-        ============= ================================================
-        Argument      Description
-        ============= ================================================
-        *X*, *Y*, *Z* Data values as 2D arrays
-        *rstride*     Array row stride (step size), defaults to 10
-        *cstride*     Array column stride (step size), defaults to 10
-        *color*       Color of the surface patches
-        *cmap*        A colormap for the surface patches.
-        *facecolors*  Face colors for the individual patches
-        *norm*        An instance of Normalize to map values to colors
-        *vmin*        Minimum value to map
-        *vmax*        Maximum value to map
-        *shade*       Whether to shade the facecolors
-        ============= ================================================
-
-        Other arguments are passed on to
-        :class:`~mpl_toolkits.mplot3d.art3d.Poly3DCollection`
-        '''
+        By default, it will be colored in shades of a solid color, but it also
+        supports colormapping by supplying the *cmap* argument.
+
+        .. note::
+
+           The *rcount* and *ccount* kwargs, which both default to 50,
+           determine the maximum number of samples used in each direction.  If
+           the input data is larger, it will be downsampled (by slicing) to
+           these numbers of points.
+
+        .. note::
+
+           To maximize rendering speed consider setting *rstride* and *cstride*
+           to divisors of the number of rows minus 1 and columns minus 1
+           respectively. For example, given 51 rows rstride can be any of the
+           divisors of 50.
+
+           Similarly, a setting of *rstride* and *cstride* equal to 1 (or
+           *rcount* and *ccount* equal the number of rows and columns) can use
+           the optimized path.
+
+        Parameters
+        ----------
+        X, Y, Z : 2D arrays
+            Data values.
+
+        rcount, ccount : int
+            Maximum number of samples used in each direction.  If the input
+            data is larger, it will be downsampled (by slicing) to these
+            numbers of points.  Defaults to 50.
+
+        rstride, cstride : int
+            Downsampling stride in each direction.  These arguments are
+            mutually exclusive with *rcount* and *ccount*.  If only one of
+            *rstride* or *cstride* is set, the other defaults to 10.
+
+            'classic' mode uses a default of ``rstride = cstride = 10`` instead
+            of the new default of ``rcount = ccount = 50``.
+
+        color : :mpltype:`color`
+            Color of the surface patches.
+
+        cmap : Colormap, optional
+            Colormap of the surface patches.
+
+        facecolors : list of :mpltype:`color`
+            Colors of each individual patch.
+
+        norm : `~matplotlib.colors.Normalize`, optional
+            Normalization for the colormap.
+
+        vmin, vmax : float, optional
+            Bounds for the normalization.
+
+        shade : bool, default: True
+            Whether to shade the facecolors.  Shading is always disabled when
+            *cmap* is specified.
+
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
+
+        axlim_clip : bool, default: False
+            Whether to hide patches with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+
+        **kwargs
+            Other keyword arguments are forwarded to `.Poly3DCollection`.
+        """
 
         had_data = self.has_data()
 
-        Z = np.atleast_2d(Z)
-        # TODO: Support masked arrays
+        if Z.ndim != 2:
+            raise ValueError("Argument Z must be 2-dimensional.")
+
+        Z = cbook._to_unmasked_float_array(Z)
         X, Y, Z = np.broadcast_arrays(X, Y, Z)
         rows, cols = Z.shape
 
+        has_stride = 'rstride' in kwargs or 'cstride' in kwargs
+        has_count = 'rcount' in kwargs or 'ccount' in kwargs
+
+        if has_stride and has_count:
+            raise ValueError("Cannot specify both stride and count arguments")
+
         rstride = kwargs.pop('rstride', 10)
         cstride = kwargs.pop('cstride', 10)
-
-        if 'facecolors' in kwargs:
-            fcolors = kwargs.pop('facecolors')
+        rcount = kwargs.pop('rcount', 50)
+        ccount = kwargs.pop('ccount', 50)
+
+        if mpl.rcParams['_internal.classic_mode']:
+            # Strides have priority over counts in classic mode.
+            # So, only compute strides from counts
+            # if counts were explicitly given
+            compute_strides = has_count
         else:
-            color = np.array(colorConverter.to_rgba(kwargs.pop('color', 'b')))
-            fcolors = None
+            # If the strides are provided then it has priority.
+            # Otherwise, compute the strides from the counts.
+            compute_strides = not has_stride
 
-        cmap = kwargs.get('cmap', None)
-        norm = kwargs.pop('norm', None)
-        vmin = kwargs.pop('vmin', None)
-        vmax = kwargs.pop('vmax', None)
-        linewidth = kwargs.get('linewidth', None)
-        shade = kwargs.pop('shade', cmap is None)
-        lightsource = kwargs.pop('lightsource', None)
+        if compute_strides:
+            rstride = int(max(np.ceil(rows / rcount), 1))
+            cstride = int(max(np.ceil(cols / ccount), 1))
 
-        # Shade the data
-        if shade and cmap is not None and fcolors is not None:
-            fcolors = self._shade_colors_lightsource(Z, cmap, lightsource)
+        fcolors = kwargs.pop('facecolors', None)
 
-        polys = []
-        # Only need these vectors to shade if there is no cmap
-        if cmap is None and shade :
-            totpts = int(np.ceil(float(rows - 1) / rstride) *
-                         np.ceil(float(cols - 1) / cstride))
-            v1 = np.empty((totpts, 3))
-            v2 = np.empty((totpts, 3))
-            # This indexes the vertex points
-            which_pt = 0
-
-
-        #colset contains the data for coloring: either average z or the facecolor
-        colset = []
-        for rs in xrange(0, rows-1, rstride):
-            for cs in xrange(0, cols-1, cstride):
-                ps = []
-                for a in (X, Y, Z) :
-                    ztop = a[rs,cs:min(cols, cs+cstride+1)]
-                    zleft = a[rs+1:min(rows, rs+rstride+1),
-                              min(cols-1, cs+cstride)]
-                    zbase = a[min(rows-1, rs+rstride), cs:min(cols, cs+cstride+1):][::-1]
-                    zright = a[rs:min(rows-1, rs+rstride):, cs][::-1]
-                    z = np.concatenate((ztop, zleft, zbase, zright))
-                    ps.append(z)
-
-                # The construction leaves the array with duplicate points, which
-                # are removed here.
-                ps = list(zip(*ps))
-                lastp = np.array([])
-                ps2 = [ps[0]] + [ps[i] for i in xrange(1, len(ps)) if ps[i] != ps[i-1]]
-                avgzsum = sum(p[2] for p in ps2)
-                polys.append(ps2)
-
-                if fcolors is not None:
-                    colset.append(fcolors[rs][cs])
-                else:
-                    colset.append(avgzsum / len(ps2))
-
-                # Only need vectors to shade if no cmap
-                if cmap is None and shade:
-                    i1, i2, i3 = 0, int(len(ps2)/3), int(2*len(ps2)/3)
-                    v1[which_pt] = np.array(ps2[i1]) - np.array(ps2[i2])
-                    v2[which_pt] = np.array(ps2[i2]) - np.array(ps2[i3])
-                    which_pt += 1
-        if cmap is None and shade:
-            normals = np.cross(v1, v2)
-        else :
-            normals = []
-
-        polyc = art3d.Poly3DCollection(polys, *args, **kwargs)
+        cmap = kwargs.get('cmap', None)
+        shade = kwargs.pop('shade', cmap is None)
+        if shade is None:
+            raise ValueError("shade cannot be None.")
+
+        colset = []  # the sampled facecolor
+        if (rows - 1) % rstride == 0 and \
+           (cols - 1) % cstride == 0 and \
+           fcolors is None:
+            polys = np.stack(
+                [cbook._array_patch_perimeters(a, rstride, cstride)
+                 for a in (X, Y, Z)],
+                axis=-1)
+        else:
+            # evenly spaced, and including both endpoints
+            row_inds = list(range(0, rows-1, rstride)) + [rows-1]
+            col_inds = list(range(0, cols-1, cstride)) + [cols-1]
+
+            polys = []
+            for rs, rs_next in itertools.pairwise(row_inds):
+                for cs, cs_next in itertools.pairwise(col_inds):
+                    ps = [
+                        # +1 ensures we share edges between polygons
+                        cbook._array_perimeter(a[rs:rs_next+1, cs:cs_next+1])
+                        for a in (X, Y, Z)
+                    ]
+                    # ps = np.stack(ps, axis=-1)
+                    ps = np.array(ps).T
+                    polys.append(ps)
+
+                    if fcolors is not None:
+                        colset.append(fcolors[rs][cs])
+
+        # In cases where there are non-finite values in the data (possibly NaNs from
+        # masked arrays), artifacts can be introduced. Here check whether such values
+        # are present and remove them.
+        if not isinstance(polys, np.ndarray) or not np.isfinite(polys).all():
+            new_polys = []
+            new_colset = []
+
+            # Depending on fcolors, colset is either an empty list or has as
+            # many elements as polys. In the former case new_colset results in
+            # a list with None entries, that is discarded later.
+            for p, col in itertools.zip_longest(polys, colset):
+                new_poly = np.array(p)[np.isfinite(p).all(axis=1)]
+                if len(new_poly):
+                    new_polys.append(new_poly)
+                    new_colset.append(col)
+
+            # Replace previous polys and, if fcolors is not None, colset
+            polys = new_polys
+            if fcolors is not None:
+                colset = new_colset
+
+        # note that the striding causes some polygons to have more coordinates
+        # than others
 
         if fcolors is not None:
-            if shade:
-                colset = self._shade_colors(colset, normals)
-            polyc.set_facecolors(colset)
-            polyc.set_edgecolors(colset)
+            polyc = art3d.Poly3DCollection(
+                polys, edgecolors=colset, facecolors=colset, shade=shade,
+                lightsource=lightsource, axlim_clip=axlim_clip, **kwargs)
         elif cmap:
-            colset = np.array(colset)
-            polyc.set_array(colset)
+            polyc = art3d.Poly3DCollection(polys, axlim_clip=axlim_clip, **kwargs)
+            # can't always vectorize, because polys might be jagged
+            if isinstance(polys, np.ndarray):
+                avg_z = polys[..., 2].mean(axis=-1)
+            else:
+                avg_z = np.array([ps[:, 2].mean() for ps in polys])
+            polyc.set_array(avg_z)
             if vmin is not None or vmax is not None:
                 polyc.set_clim(vmin, vmax)
             if norm is not None:
                 polyc.set_norm(norm)
         else:
-            if shade:
-                colset = self._shade_colors(color, normals)
-            else:
-                colset = color
-            polyc.set_facecolors(colset)
+            color = kwargs.pop('color', None)
+            if color is None:
+                color = self._get_lines.get_next_color()
+            color = np.array(mcolors.to_rgba(color))
+
+            polyc = art3d.Poly3DCollection(
+                polys, facecolors=color, shade=shade, lightsource=lightsource,
+                axlim_clip=axlim_clip, **kwargs)
 
         self.add_collection(polyc)
         self.auto_scale_xyz(X, Y, Z, had_data)
 
         return polyc
 
-    def _generate_normals(self, polygons):
-        '''
-        Generate normals for polygons by using the first three points.
-        This normal of course might not make sense for polygons with
-        more than three points not lying in a plane.
-        '''
-
-        normals = []
-        for verts in polygons:
-            v1 = np.array(verts[0]) - np.array(verts[1])
-            v2 = np.array(verts[2]) - np.array(verts[0])
-            normals.append(np.cross(v1, v2))
-        return normals
-
-    def _shade_colors(self, color, normals):
-        '''
-        Shade *color* using normal vectors given by *normals*.
-        *color* can also be an array of the same length as *normals*.
-        '''
-
-        shade = np.array([np.dot(n / proj3d.mod(n), [-1, -1, 0.5])
-                          if proj3d.mod(n) else np.nan
-                          for n in normals])
-        mask = ~np.isnan(shade)
-
-        if len(shade[mask]) > 0:
-            norm = Normalize(min(shade[mask]), max(shade[mask]))
-            shade[~mask] = min(shade[mask])
-            color = colorConverter.to_rgba_array(color)
-            # shape of color should be (M, 4) (where M is number of faces)
-            # shape of shade should be (M,)
-            # colors should have final shape of (M, 4)
-            alpha = color[:, 3]
-            colors = (0.5 + norm(shade)[:, np.newaxis] * 0.5) * color
-            colors[:, 3] = alpha
-        else:
-            colors = np.asanyarray(color).copy()
-
-        return colors
-
-    def _shade_colors_lightsource(self, data, cmap, lightsource):
-        if lightsource is None:
-            lightsource = LightSource(azdeg=135, altdeg=55)
-        return lightsource.shade(data, cmap)
-
-    def plot_wireframe(self, X, Y, Z, *args, **kwargs):
-        '''
+    def plot_wireframe(self, X, Y, Z, *, axlim_clip=False, **kwargs):
+        """
         Plot a 3D wireframe.
 
-        The `rstride` and `cstride` kwargs set the stride used to
-        sample the input data to generate the graph.
-
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *X*, *Y*,   Data values as 2D arrays
-        *Z*
-        *rstride*   Array row stride (step size), defaults to 1
-        *cstride*   Array column stride (step size), defaults to 1
-        ==========  ================================================
-
-        Keyword arguments are passed on to
-        :class:`~matplotlib.collections.LineCollection`.
-
-        Returns a :class:`~mpl_toolkits.mplot3d.art3d.Line3DCollection`
-        '''
+        .. note::
 
-        rstride = kwargs.pop("rstride", 1)
-        cstride = kwargs.pop("cstride", 1)
+           The *rcount* and *ccount* kwargs, which both default to 50,
+           determine the maximum number of samples used in each direction.  If
+           the input data is larger, it will be downsampled (by slicing) to
+           these numbers of points.
+
+        Parameters
+        ----------
+        X, Y, Z : 2D arrays
+            Data values.
+
+        axlim_clip : bool, default: False
+            Whether to hide lines and patches with vertices outside the axes
+            view limits.
+
+            .. versionadded:: 3.10
+
+        rcount, ccount : int
+            Maximum number of samples used in each direction.  If the input
+            data is larger, it will be downsampled (by slicing) to these
+            numbers of points.  Setting a count to zero causes the data to be
+            not sampled in the corresponding direction, producing a 3D line
+            plot rather than a wireframe plot.  Defaults to 50.
+
+        rstride, cstride : int
+            Downsampling stride in each direction.  These arguments are
+            mutually exclusive with *rcount* and *ccount*.  If only one of
+            *rstride* or *cstride* is set, the other defaults to 1.  Setting a
+            stride to zero causes the data to be not sampled in the
+            corresponding direction, producing a 3D line plot rather than a
+            wireframe plot.
+
+            'classic' mode uses a default of ``rstride = cstride = 1`` instead
+            of the new default of ``rcount = ccount = 50``.
+
+        **kwargs
+            Other keyword arguments are forwarded to `.Line3DCollection`.
+        """
 
         had_data = self.has_data()
-        Z = np.atleast_2d(Z)
+        if Z.ndim != 2:
+            raise ValueError("Argument Z must be 2-dimensional.")
         # FIXME: Support masked arrays
         X, Y, Z = np.broadcast_arrays(X, Y, Z)
         rows, cols = Z.shape
 
-        # We want two sets of lines, one running along the "rows" of
-        # Z and another set of lines running along the "columns" of Z.
-        # This transpose will make it easy to obtain the columns.
-        tX, tY, tZ = np.transpose(X), np.transpose(Y), np.transpose(Z)
-
-        rii = list(xrange(0, rows, rstride))
-        cii = list(xrange(0, cols, cstride))
+        has_stride = 'rstride' in kwargs or 'cstride' in kwargs
+        has_count = 'rcount' in kwargs or 'ccount' in kwargs
 
-        # Add the last index only if needed
-        if rows > 0 and rii[-1] != (rows - 1) :
-            rii += [rows-1]
-        if cols > 0 and cii[-1] != (cols - 1) :
-            cii += [cols-1]
+        if has_stride and has_count:
+            raise ValueError("Cannot specify both stride and count arguments")
 
-        # If the inputs were empty, then just
-        # reset everything.
-        if Z.size == 0 :
-            rii = []
-            cii = []
+        rstride = kwargs.pop('rstride', 1)
+        cstride = kwargs.pop('cstride', 1)
+        rcount = kwargs.pop('rcount', 50)
+        ccount = kwargs.pop('ccount', 50)
 
-        xlines = [X[i] for i in rii]
-        ylines = [Y[i] for i in rii]
-        zlines = [Z[i] for i in rii]
+        if mpl.rcParams['_internal.classic_mode']:
+            # Strides have priority over counts in classic mode.
+            # So, only compute strides from counts
+            # if counts were explicitly given
+            if has_count:
+                rstride = int(max(np.ceil(rows / rcount), 1)) if rcount else 0
+                cstride = int(max(np.ceil(cols / ccount), 1)) if ccount else 0
+        else:
+            # If the strides are provided then it has priority.
+            # Otherwise, compute the strides from the counts.
+            if not has_stride:
+                rstride = int(max(np.ceil(rows / rcount), 1)) if rcount else 0
+                cstride = int(max(np.ceil(cols / ccount), 1)) if ccount else 0
 
-        txlines = [tX[i] for i in cii]
-        tylines = [tY[i] for i in cii]
-        tzlines = [tZ[i] for i in cii]
+        if rstride == 0 and cstride == 0:
+            raise ValueError("Either rstride or cstride must be non zero")
 
-        lines = [list(zip(xl, yl, zl)) for xl, yl, zl in \
-                 zip(xlines, ylines, zlines)]
-        lines += [list(zip(xl, yl, zl)) for xl, yl, zl in \
-                  zip(txlines, tylines, tzlines)]
+        # We want two sets of lines, one running along the "rows" of
+        # Z and another set of lines running along the "columns" of Z.
+        # This transpose will make it easy to obtain the columns.
+        tX, tY, tZ = np.transpose(X), np.transpose(Y), np.transpose(Z)
 
-        linec = art3d.Line3DCollection(lines, *args, **kwargs)
+        # Compute the indices of the row and column lines to be drawn
+        # For Z.size == 0, we don't want to draw any lines since the data is empty
+        if rstride == 0 or Z.size == 0:
+            rii = np.array([], dtype=int)
+        elif (rows - 1) % rstride == 0:
+            # last index is hit: rii[-1] == rows - 1
+            rii = np.arange(0, rows, rstride)
+        else:
+            # add the last index
+            rii = np.arange(0, rows + rstride, rstride)
+            rii[-1] = rows - 1
+
+        if cstride == 0 or Z.size == 0:
+            cii = np.array([], dtype=int)
+        elif (cols - 1) % cstride == 0:
+            # last index is hit: cii[-1] == cols - 1
+            cii = np.arange(0, cols, cstride)
+        else:
+            # add the last index
+            cii = np.arange(0, cols + cstride, cstride)
+            cii[-1] = cols - 1
+
+        row_lines = np.stack([X[rii], Y[rii], Z[rii]], axis=-1)
+        col_lines = np.stack([tX[cii], tY[cii], tZ[cii]], axis=-1)
+
+        # We autoscale twice because autoscaling is much faster with vectorized numpy
+        # arrays, but row_lines and col_lines might not be the same shape, so we can't
+        # stack them to check them in a single pass.
+        # Note that while the column and row grid points are the same, the lines
+        # between them may expand the view limits, so we have to check both.
+        self.auto_scale_xyz(row_lines[..., 0], row_lines[..., 1], row_lines[..., 2],
+                            had_data)
+        self.auto_scale_xyz(col_lines[..., 0], col_lines[..., 1], col_lines[..., 2],
+                            had_data=True)
+
+        lines = list(row_lines) + list(col_lines)
+        linec = art3d.Line3DCollection(lines, axlim_clip=axlim_clip, **kwargs)
         self.add_collection(linec)
-        self.auto_scale_xyz(X, Y, Z, had_data)
 
         return linec
 
-    def plot_trisurf(self, *args, **kwargs):
+    def plot_trisurf(self, *args, color=None, norm=None, vmin=None, vmax=None,
+                     lightsource=None, axlim_clip=False, **kwargs):
         """
-        ============= ================================================
-        Argument      Description
-        ============= ================================================
-        *X*, *Y*, *Z* Data values as 1D arrays
-        *color*       Color of the surface patches
-        *cmap*        A colormap for the surface patches.
-        *norm*        An instance of Normalize to map values to colors
-        *vmin*        Minimum value to map
-        *vmax*        Maximum value to map
-        *shade*       Whether to shade the facecolors
-        ============= ================================================
+        Plot a triangulated surface.
 
         The (optional) triangulation can be specified in one of two ways;
         either::
 
           plot_trisurf(triangulation, ...)
 
-        where triangulation is a :class:`~matplotlib.tri.Triangulation`
-        object, or::
+        where triangulation is a `~matplotlib.tri.Triangulation` object, or::
 
           plot_trisurf(X, Y, ...)
           plot_trisurf(X, Y, triangles, ...)
           plot_trisurf(X, Y, triangles=triangles, ...)
 
         in which case a Triangulation object will be created.  See
-        :class:`~matplotlib.tri.Triangulation` for a explanation of
-        these possibilities.
+        `.Triangulation` for an explanation of these possibilities.
 
         The remaining arguments are::
 
@@ -1812,85 +2488,76 @@ def plot_trisurf(self, *args, **kwargs):
         where *Z* is the array of values to contour, one per point
         in the triangulation.
 
-        Other arguments are passed on to
-        :class:`~mpl_toolkits.mplot3d.art3d.Poly3DCollection`
-
-        **Examples:**
-
-        .. plot:: mpl_examples/mplot3d/trisurf3d_demo.py
-        .. plot:: mpl_examples/mplot3d/trisurf3d_demo2.py
-
-        .. versionadded:: 1.2.0
-            This plotting function was added for the v1.2.0 release.
+        Parameters
+        ----------
+        X, Y, Z : array-like
+            Data values as 1D arrays.
+        color
+            Color of the surface patches.
+        cmap
+            A colormap for the surface patches.
+        norm : `~matplotlib.colors.Normalize`, optional
+            An instance of Normalize to map values to colors.
+        vmin, vmax : float, optional
+            Minimum and maximum value to map.
+        shade : bool, default: True
+            Whether to shade the facecolors.  Shading is always disabled when
+            *cmap* is specified.
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
+        axlim_clip : bool, default: False
+            Whether to hide patches with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        **kwargs
+            All other keyword arguments are passed on to
+            :class:`~mpl_toolkits.mplot3d.art3d.Poly3DCollection`
+
+        Examples
+        --------
+        .. plot:: gallery/mplot3d/trisurf3d.py
+        .. plot:: gallery/mplot3d/trisurf3d_2.py
         """
 
         had_data = self.has_data()
 
         # TODO: Support custom face colours
-        color = np.array(colorConverter.to_rgba(kwargs.pop('color', 'b')))
+        if color is None:
+            color = self._get_lines.get_next_color()
+        color = np.array(mcolors.to_rgba(color))
 
         cmap = kwargs.get('cmap', None)
-        norm = kwargs.pop('norm', None)
-        vmin = kwargs.pop('vmin', None)
-        vmax = kwargs.pop('vmax', None)
-        linewidth = kwargs.get('linewidth', None)
         shade = kwargs.pop('shade', cmap is None)
-        lightsource = kwargs.pop('lightsource', None)
 
-        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
-        if 'Z' in kwargs:
-            z = np.asarray(kwargs.pop('Z'))
-        else:
-            z = np.asarray(args[0])
+        tri, args, kwargs = \
+            Triangulation.get_from_args_and_kwargs(*args, **kwargs)
+        try:
+            z = kwargs.pop('Z')
+        except KeyError:
             # We do this so Z doesn't get passed as an arg to PolyCollection
-            args = args[1:]
+            z, *args = args
+        z = np.asarray(z)
 
         triangles = tri.get_masked_triangles()
-        xt = tri.x[triangles][..., np.newaxis]
-        yt = tri.y[triangles][..., np.newaxis]
-        zt = z[triangles][..., np.newaxis]
-
-        verts = np.concatenate((xt, yt, zt), axis=2)
-
-        # Only need these vectors to shade if there is no cmap
-        if cmap is None and shade:
-            totpts = len(verts)
-            v1 = np.empty((totpts, 3))
-            v2 = np.empty((totpts, 3))
-            # This indexes the vertex points
-            which_pt = 0
-
-        colset = []
-        for i in xrange(len(verts)):
-            avgzsum = verts[i,0,2] + verts[i,1,2] + verts[i,2,2]
-            colset.append(avgzsum / 3.0)
-
-            # Only need vectors to shade if no cmap
-            if cmap is None and shade:
-                v1[which_pt] = np.array(verts[i,0]) - np.array(verts[i,1])
-                v2[which_pt] = np.array(verts[i,1]) - np.array(verts[i,2])
-                which_pt += 1
-
-        if cmap is None and shade:
-            normals = np.cross(v1, v2)
-        else:
-            normals = []
-
-        polyc = art3d.Poly3DCollection(verts, *args, **kwargs)
+        xt = tri.x[triangles]
+        yt = tri.y[triangles]
+        zt = z[triangles]
+        verts = np.stack((xt, yt, zt), axis=-1)
 
         if cmap:
-            colset = np.array(colset)
-            polyc.set_array(colset)
+            polyc = art3d.Poly3DCollection(verts, *args,
+                                           axlim_clip=axlim_clip, **kwargs)
+            # average over the three points of each triangle
+            avg_z = verts[:, :, 2].mean(axis=1)
+            polyc.set_array(avg_z)
             if vmin is not None or vmax is not None:
                 polyc.set_clim(vmin, vmax)
             if norm is not None:
                 polyc.set_norm(norm)
         else:
-            if shade:
-                colset = self._shade_colors(color, normals)
-            else:
-                colset = color
-            polyc.set_facecolors(colset)
+            polyc = art3d.Poly3DCollection(
+                verts, *args, shade=shade, lightsource=lightsource,
+                facecolors=color, axlim_clip=axlim_clip, **kwargs)
 
         self.add_collection(polyc)
         self.auto_scale_xyz(tri.x, tri.y, z, had_data)
@@ -1898,142 +2565,153 @@ def plot_trisurf(self, *args, **kwargs):
         return polyc
 
     def _3d_extend_contour(self, cset, stride=5):
-        '''
+        """
         Extend a contour in 3D by creating
-        '''
-
-        levels = cset.levels
-        colls = cset.collections
-        dz = (levels[1] - levels[0]) / 2
-
-        for z, linec in zip(levels, colls):
-            topverts = art3d.paths_to_3d_segments(linec.get_paths(), z - dz)
-            botverts = art3d.paths_to_3d_segments(linec.get_paths(), z + dz)
-
-            color = linec.get_color()[0]
-
-            polyverts = []
-            normals = []
-            nsteps = round(len(topverts[0]) / stride)
-            if nsteps <= 1:
-                if len(topverts[0]) > 1:
-                    nsteps = 2
-                else:
-                    continue
-
-            stepsize = (len(topverts[0]) - 1) / (nsteps - 1)
-            for i in range(int(round(nsteps)) - 1):
-                i1 = int(round(i * stepsize))
-                i2 = int(round((i + 1) * stepsize))
-                polyverts.append([topverts[0][i1],
-                    topverts[0][i2],
-                    botverts[0][i2],
-                    botverts[0][i1]])
-
-                v1 = np.array(topverts[0][i1]) - np.array(topverts[0][i2])
-                v2 = np.array(topverts[0][i1]) - np.array(botverts[0][i1])
-                normals.append(np.cross(v1, v2))
-
-            colors = self._shade_colors(color, normals)
-            colors2 = self._shade_colors(color, normals)
-            polycol = art3d.Poly3DCollection(polyverts,
-                                             facecolors=colors,
-                                             edgecolors=colors2)
-            polycol.set_sort_zpos(z)
-            self.add_collection3d(polycol)
-
-        for col in colls:
-            self.collections.remove(col)
-
-    def add_contour_set(self, cset, extend3d=False, stride=5, zdir='z', offset=None):
+        """
+
+        dz = (cset.levels[1] - cset.levels[0]) / 2
+        polyverts = []
+        colors = []
+        for idx, level in enumerate(cset.levels):
+            path = cset.get_paths()[idx]
+            subpaths = [*path._iter_connected_components()]
+            color = cset.get_edgecolor()[idx]
+            top = art3d._paths_to_3d_segments(subpaths, level - dz)
+            bot = art3d._paths_to_3d_segments(subpaths, level + dz)
+            if not len(top[0]):
+                continue
+            nsteps = max(round(len(top[0]) / stride), 2)
+            stepsize = (len(top[0]) - 1) / (nsteps - 1)
+            polyverts.extend([
+                (top[0][round(i * stepsize)], top[0][round((i + 1) * stepsize)],
+                 bot[0][round((i + 1) * stepsize)], bot[0][round(i * stepsize)])
+                for i in range(round(nsteps) - 1)])
+            colors.extend([color] * (round(nsteps) - 1))
+        self.add_collection3d(art3d.Poly3DCollection(
+            np.array(polyverts),  # All polygons have 4 vertices, so vectorize.
+            facecolors=colors, edgecolors=colors, shade=True))
+        cset.remove()
+
+    def add_contour_set(
+            self, cset, extend3d=False, stride=5, zdir='z', offset=None,
+            axlim_clip=False):
         zdir = '-' + zdir
         if extend3d:
             self._3d_extend_contour(cset, stride)
         else:
-            for z, linec in zip(cset.levels, cset.collections):
-                if offset is not None:
-                    z = offset
-                art3d.line_collection_2d_to_3d(linec, z, zdir=zdir)
+            art3d.collection_2d_to_3d(
+                cset, zs=offset if offset is not None else cset.levels, zdir=zdir,
+                axlim_clip=axlim_clip)
+
+    def add_contourf_set(self, cset, zdir='z', offset=None, *, axlim_clip=False):
+        self._add_contourf_set(cset, zdir=zdir, offset=offset,
+                               axlim_clip=axlim_clip)
 
-    def add_contourf_set(self, cset, zdir='z', offset=None) :
+    def _add_contourf_set(self, cset, zdir='z', offset=None, axlim_clip=False):
+        """
+        Returns
+        -------
+        levels : `numpy.ndarray`
+            Levels at which the filled contours are added.
+        """
         zdir = '-' + zdir
-        for z, linec in zip(cset.levels, cset.collections) :
-            if offset is not None :
-                z = offset
-            art3d.poly_collection_2d_to_3d(linec, z, zdir=zdir)
-            linec.set_sort_zpos(z)
-
-    def contour(self, X, Y, Z, *args, **kwargs):
-        '''
-        Create a 3D contour plot.
 
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *X*, *Y*,   Data values as numpy.arrays
-        *Z*
-        *extend3d*  Whether to extend contour in 3D (default: False)
-        *stride*    Stride (step size) for extending contour
-        *zdir*      The direction to use: x, y or z (default)
-        *offset*    If specified plot a projection of the contour
-                    lines on this position in plane normal to zdir
-        ==========  ================================================
-
-        The positional and other keyword arguments are passed on to
-        :func:`~matplotlib.axes.Axes.contour`
-
-        Returns a :class:`~matplotlib.axes.Axes.contour`
-        '''
-
-        extend3d = kwargs.pop('extend3d', False)
-        stride = kwargs.pop('stride', 5)
-        zdir = kwargs.pop('zdir', 'z')
-        offset = kwargs.pop('offset', None)
+        midpoints = cset.levels[:-1] + np.diff(cset.levels) / 2
+        # Linearly interpolate to get levels for any extensions
+        if cset._extend_min:
+            min_level = cset.levels[0] - np.diff(cset.levels[:2]) / 2
+            midpoints = np.insert(midpoints, 0, min_level)
+        if cset._extend_max:
+            max_level = cset.levels[-1] + np.diff(cset.levels[-2:]) / 2
+            midpoints = np.append(midpoints, max_level)
+
+        art3d.collection_2d_to_3d(
+            cset, zs=offset if offset is not None else midpoints, zdir=zdir,
+            axlim_clip=axlim_clip)
+        return midpoints
+
+    @_preprocess_data()
+    def contour(self, X, Y, Z, *args,
+                extend3d=False, stride=5, zdir='z', offset=None, axlim_clip=False,
+                **kwargs):
+        """
+        Create a 3D contour plot.
 
+        Parameters
+        ----------
+        X, Y, Z : array-like,
+            Input data. See `.Axes.contour` for supported data shapes.
+        extend3d : bool, default: False
+            Whether to extend contour in 3D.
+        stride : int, default: 5
+            Step size for extending contour.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            The direction to use.
+        offset : float, optional
+            If specified, plot a projection of the contour lines at this
+            position in a plane normal to *zdir*.
+        axlim_clip : bool, default: False
+            Whether to hide lines with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        *args, **kwargs
+            Other arguments are forwarded to `matplotlib.axes.Axes.contour`.
+
+        Returns
+        -------
+        matplotlib.contour.QuadContourSet
+        """
         had_data = self.has_data()
 
         jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
-        cset = Axes.contour(self, jX, jY, jZ, *args, **kwargs)
-        self.add_contour_set(cset, extend3d, stride, zdir, offset)
+        cset = super().contour(jX, jY, jZ, *args, **kwargs)
+        self.add_contour_set(cset, extend3d, stride, zdir, offset, axlim_clip)
 
         self.auto_scale_xyz(X, Y, Z, had_data)
         return cset
 
     contour3D = contour
 
-    def tricontour(self, *args, **kwargs):
+    @_preprocess_data()
+    def tricontour(self, *args,
+                   extend3d=False, stride=5, zdir='z', offset=None, axlim_clip=False,
+                   **kwargs):
         """
         Create a 3D contour plot.
 
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *X*, *Y*,   Data values as numpy.arrays
-        *Z*
-        *extend3d*  Whether to extend contour in 3D (default: False)
-        *stride*    Stride (step size) for extending contour
-        *zdir*      The direction to use: x, y or z (default)
-        *offset*    If specified plot a projection of the contour
-                    lines on this position in plane normal to zdir
-        ==========  ================================================
-
-        Other keyword arguments are passed on to
-        :func:`~matplotlib.axes.Axes.tricontour`
-
-        Returns a :class:`~matplotlib.axes.Axes.contour`
-
-        .. versionchanged:: 1.3.0
-            Added support for custom triangulations
-
-        EXPERIMENTAL:  This method currently produces incorrect output due to a
-        longstanding bug in 3D PolyCollection rendering.
+        .. note::
+            This method currently produces incorrect output due to a
+            longstanding bug in 3D PolyCollection rendering.
+
+        Parameters
+        ----------
+        X, Y, Z : array-like
+            Input data. See `.Axes.tricontour` for supported data shapes.
+        extend3d : bool, default: False
+            Whether to extend contour in 3D.
+        stride : int, default: 5
+            Step size for extending contour.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            The direction to use.
+        offset : float, optional
+            If specified, plot a projection of the contour lines at this
+            position in a plane normal to *zdir*.
+        axlim_clip : bool, default: False
+            Whether to hide lines with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        *args, **kwargs
+            Other arguments are forwarded to `matplotlib.axes.Axes.tricontour`.
+
+        Returns
+        -------
+        matplotlib.tri._tricontour.TriContourSet
         """
-
-        extend3d = kwargs.pop('extend3d', False)
-        stride = kwargs.pop('stride', 5)
-        zdir = kwargs.pop('zdir', 'z')
-        offset = kwargs.pop('offset', None)
-
         had_data = self.has_data()
 
         tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
@@ -2043,84 +2721,99 @@ def tricontour(self, *args, **kwargs):
         if 'Z' in kwargs:
             Z = kwargs.pop('Z')
         else:
-            Z = args[0]
             # We do this so Z doesn't get passed as an arg to Axes.tricontour
-            args = args[1:]
+            Z, *args = args
 
         jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
         tri = Triangulation(jX, jY, tri.triangles, tri.mask)
 
-        cset = Axes.tricontour(self, tri, jZ, *args, **kwargs)
-        self.add_contour_set(cset, extend3d, stride, zdir, offset)
+        cset = super().tricontour(tri, jZ, *args, **kwargs)
+        self.add_contour_set(cset, extend3d, stride, zdir, offset, axlim_clip)
 
         self.auto_scale_xyz(X, Y, Z, had_data)
         return cset
 
-    def contourf(self, X, Y, Z, *args, **kwargs):
-        '''
-        Create a 3D contourf plot.
-
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *X*, *Y*,   Data values as numpy.arrays
-        *Z*
-        *zdir*      The direction to use: x, y or z (default)
-        *offset*    If specified plot a projection of the filled contour
-                    on this position in plane normal to zdir
-        ==========  ================================================
-
-        The positional and keyword arguments are passed on to
-        :func:`~matplotlib.axes.Axes.contourf`
-
-        Returns a :class:`~matplotlib.axes.Axes.contourf`
-
-        .. versionchanged :: 1.1.0
-            The *zdir* and *offset* kwargs were added.
-        '''
-
-        zdir = kwargs.pop('zdir', 'z')
-        offset = kwargs.pop('offset', None)
-
+    def _auto_scale_contourf(self, X, Y, Z, zdir, levels, had_data):
+        # Autoscale in the zdir based on the levels added, which are
+        # different from data range if any contour extensions are present
+        dim_vals = {'x': X, 'y': Y, 'z': Z, zdir: levels}
+        # Input data and levels have different sizes, but auto_scale_xyz
+        # expected same-size input, so manually take min/max limits
+        limits = [(np.nanmin(dim_vals[dim]), np.nanmax(dim_vals[dim]))
+                  for dim in ['x', 'y', 'z']]
+        self.auto_scale_xyz(*limits, had_data)
+
+    @_preprocess_data()
+    def contourf(self, X, Y, Z, *args,
+                 zdir='z', offset=None, axlim_clip=False, **kwargs):
+        """
+        Create a 3D filled contour plot.
+
+        Parameters
+        ----------
+        X, Y, Z : array-like
+            Input data. See `.Axes.contourf` for supported data shapes.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            The direction to use.
+        offset : float, optional
+            If specified, plot a projection of the contour lines at this
+            position in a plane normal to *zdir*.
+        axlim_clip : bool, default: False
+            Whether to hide lines with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        *args, **kwargs
+            Other arguments are forwarded to `matplotlib.axes.Axes.contourf`.
+
+        Returns
+        -------
+        matplotlib.contour.QuadContourSet
+        """
         had_data = self.has_data()
 
         jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
-        cset = Axes.contourf(self, jX, jY, jZ, *args, **kwargs)
-        self.add_contourf_set(cset, zdir, offset)
+        cset = super().contourf(jX, jY, jZ, *args, **kwargs)
+        levels = self._add_contourf_set(cset, zdir, offset, axlim_clip)
 
-        self.auto_scale_xyz(X, Y, Z, had_data)
+        self._auto_scale_contourf(X, Y, Z, zdir, levels, had_data)
         return cset
 
     contourf3D = contourf
 
-    def tricontourf(self, *args, **kwargs):
+    @_preprocess_data()
+    def tricontourf(self, *args, zdir='z', offset=None, axlim_clip=False, **kwargs):
         """
-        Create a 3D contourf plot.
-
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *X*, *Y*,   Data values as numpy.arrays
-        *Z*
-        *zdir*      The direction to use: x, y or z (default)
-        *offset*    If specified plot a projection of the contour
-                    lines on this position in plane normal to zdir
-        ==========  ================================================
-
-        Other keyword arguments are passed on to
-        :func:`~matplotlib.axes.Axes.tricontour`
+        Create a 3D filled contour plot.
 
-        Returns a :class:`~matplotlib.axes.Axes.contour`
-
-        .. versionchanged :: 1.3.0
-            Added support for custom triangulations
-
-        EXPERIMENTAL:  This method currently produces incorrect output due to a
-        longstanding bug in 3D PolyCollection rendering.
+        .. note::
+            This method currently produces incorrect output due to a
+            longstanding bug in 3D PolyCollection rendering.
+
+        Parameters
+        ----------
+        X, Y, Z : array-like
+            Input data. See `.Axes.tricontourf` for supported data shapes.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            The direction to use.
+        offset : float, optional
+            If specified, plot a projection of the contour lines at this
+            position in a plane normal to zdir.
+        axlim_clip : bool, default: False
+            Whether to hide lines with a vertex outside the axes view limits.
+
+            .. versionadded:: 3.10
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        *args, **kwargs
+            Other arguments are forwarded to
+            `matplotlib.axes.Axes.tricontourf`.
+
+        Returns
+        -------
+        matplotlib.tri._tricontour.TriContourSet
         """
-        zdir = kwargs.pop('zdir', 'z')
-        offset = kwargs.pop('offset', None)
-
         had_data = self.has_data()
 
         tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
@@ -2130,176 +2823,245 @@ def tricontourf(self, *args, **kwargs):
         if 'Z' in kwargs:
             Z = kwargs.pop('Z')
         else:
-            Z = args[0]
             # We do this so Z doesn't get passed as an arg to Axes.tricontourf
-            args = args[1:]
+            Z, *args = args
 
         jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
         tri = Triangulation(jX, jY, tri.triangles, tri.mask)
 
-        cset = Axes.tricontourf(self, tri, jZ, *args, **kwargs)
-        self.add_contourf_set(cset, zdir, offset)
+        cset = super().tricontourf(tri, jZ, *args, **kwargs)
+        levels = self._add_contourf_set(cset, zdir, offset, axlim_clip)
 
-        self.auto_scale_xyz(X, Y, Z, had_data)
+        self._auto_scale_contourf(X, Y, Z, zdir, levels, had_data)
         return cset
 
-    def add_collection3d(self, col, zs=0, zdir='z'):
-        '''
+    def add_collection3d(self, col, zs=0, zdir='z', autolim=True, *,
+                         axlim_clip=False):
+        """
         Add a 3D collection object to the plot.
 
         2D collection types are converted to a 3D version by
-        modifying the object and adding z coordinate information.
+        modifying the object and adding z coordinate information,
+        *zs* and *zdir*.
+
+        Supported 2D collection types are:
+
+        - `.PolyCollection`
+        - `.LineCollection`
+        - `.PatchCollection` (currently not supporting *autolim*)
+
+        Parameters
+        ----------
+        col : `.Collection`
+            A 2D collection object.
+        zs : float or array-like, default: 0
+            The z-positions to be used for the 2D objects.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            The direction to use for the z-positions.
+        autolim : bool, default: True
+            Whether to update the data limits.
+        axlim_clip : bool, default: False
+            Whether to hide the scatter points outside the axes view limits.
+
+            .. versionadded:: 3.10
+        """
+        had_data = self.has_data()
 
-        Supported are:
-            - PolyCollection
-            - LineColleciton
-            - PatchCollection
-        '''
         zvals = np.atleast_1d(zs)
-        if len(zvals) > 0 :
-            zsortval = min(zvals)
-        else :
-            zsortval = 0   # FIXME: Fairly arbitrary. Is there a better value?
+        zsortval = (np.min(zvals) if zvals.size
+                    else 0)  # FIXME: arbitrary default
 
         # FIXME: use issubclass() (although, then a 3D collection
         #       object would also pass.)  Maybe have a collection3d
         #       abstract class to test for and exclude?
         if type(col) is mcoll.PolyCollection:
-            art3d.poly_collection_2d_to_3d(col, zs=zs, zdir=zdir)
+            art3d.poly_collection_2d_to_3d(col, zs=zs, zdir=zdir,
+                                           axlim_clip=axlim_clip)
             col.set_sort_zpos(zsortval)
         elif type(col) is mcoll.LineCollection:
-            art3d.line_collection_2d_to_3d(col, zs=zs, zdir=zdir)
+            art3d.line_collection_2d_to_3d(col, zs=zs, zdir=zdir,
+                                           axlim_clip=axlim_clip)
             col.set_sort_zpos(zsortval)
         elif type(col) is mcoll.PatchCollection:
-            art3d.patch_collection_2d_to_3d(col, zs=zs, zdir=zdir)
+            art3d.patch_collection_2d_to_3d(col, zs=zs, zdir=zdir,
+                                            axlim_clip=axlim_clip)
             col.set_sort_zpos(zsortval)
 
-        Axes.add_collection(self, col)
-
-    def scatter(self, xs, ys, zs=0, zdir='z', s=20, c='b', depthshade=True,
-                *args, **kwargs):
-        '''
+        if autolim:
+            if isinstance(col, art3d.Line3DCollection):
+                self.auto_scale_xyz(*np.array(col._segments3d).transpose(),
+                                    had_data=had_data)
+            elif isinstance(col, art3d.Poly3DCollection):
+                self.auto_scale_xyz(col._faces[..., 0],
+                                    col._faces[..., 1],
+                                    col._faces[..., 2], had_data=had_data)
+            elif isinstance(col, art3d.Patch3DCollection):
+                pass
+                # FIXME: Implement auto-scaling function for Patch3DCollection
+                # Currently unable to do so due to issues with Patch3DCollection
+                # See https://github.com/matplotlib/matplotlib/issues/14298 for details
+
+        collection = super().add_collection(col)
+        return collection
+
+    @_preprocess_data(replace_names=["xs", "ys", "zs", "s",
+                                     "edgecolors", "c", "facecolor",
+                                     "facecolors", "color"])
+    def scatter(self, xs, ys, zs=0, zdir='z', s=20, c=None, depthshade=None,
+                *args,
+                depthshade_minalpha=None,
+                axlim_clip=False,
+                **kwargs):
+        """
         Create a scatter plot.
 
-        ============  ========================================================
-        Argument      Description
-        ============  ========================================================
-        *xs*, *ys*    Positions of data points.
-        *zs*          Either an array of the same length as *xs* and
-                      *ys* or a single value to place all points in
-                      the same plane. Default is 0.
-        *zdir*        Which direction to use as z ('x', 'y' or 'z')
-                      when plotting a 2D set.
-        *s*           size in points^2.  It is a scalar or an array of the
-                      same length as *x* and *y*.
-
-        *c*           a color. *c* can be a single color format string, or a
-                      sequence of color specifications of length *N*, or a
-                      sequence of *N* numbers to be mapped to colors using the
-                      *cmap* and *norm* specified via kwargs (see below). Note
-                      that *c* should not be a single numeric RGB or RGBA
-                      sequence because that is indistinguishable from an array
-                      of values to be colormapped.  *c* can be a 2-D array in
-                      which the rows are RGB or RGBA, however.
-
-        *depthshade*
-                      Whether or not to shade the scatter markers to give
-                      the appearance of depth. Default is *True*.
-        ============  ========================================================
-
-        Keyword arguments are passed on to
-        :func:`~matplotlib.axes.Axes.scatter`.
-
-        Returns a :class:`~mpl_toolkits.mplot3d.art3d.Patch3DCollection`
-        '''
+        Parameters
+        ----------
+        xs, ys : array-like
+            The data positions.
+        zs : float or array-like, default: 0
+            The z-positions. Either an array of the same length as *xs* and
+            *ys* or a single value to place all points in the same plane.
+        zdir : {'x', 'y', 'z', '-x', '-y', '-z'}, default: 'z'
+            The axis direction for the *zs*. This is useful when plotting 2D
+            data on a 3D Axes. The data must be passed as *xs*, *ys*. Setting
+            *zdir* to 'y' then plots the data to the x-z-plane.
+
+            See also :doc:`/gallery/mplot3d/2dcollections3d`.
+
+        s : float or array-like, default: 20
+            The marker size in points**2. Either an array of the same length
+            as *xs* and *ys* or a single value to make all markers the same
+            size.
+        c : :mpltype:`color`, sequence, or sequence of colors, optional
+            The marker color. Possible values:
+
+            - A single color format string.
+            - A sequence of colors of length n.
+            - A sequence of n numbers to be mapped to colors using *cmap* and
+              *norm*.
+            - A 2D array in which the rows are RGB or RGBA.
+
+            For more details see the *c* argument of `~.axes.Axes.scatter`.
+        depthshade : bool, default: None
+            Whether to shade the scatter markers to give the appearance of
+            depth. Each call to ``scatter()`` will perform its depthshading
+            independently.
+            If None, use the value from rcParams['axes3d.depthshade'].
+
+        depthshade_minalpha : float, default: None
+            The lowest alpha value applied by depth-shading.
+            If None, use the value from rcParams['axes3d.depthshade_minalpha'].
+
+            .. versionadded:: 3.11
+
+        axlim_clip : bool, default: False
+            Whether to hide the scatter points outside the axes view limits.
+
+            .. versionadded:: 3.10
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            All other keyword arguments are passed on to `~.axes.Axes.scatter`.
+
+        Returns
+        -------
+        paths : `~matplotlib.collections.PathCollection`
+        """
 
         had_data = self.has_data()
+        zs_orig = zs
 
-        xs = np.ma.ravel(xs)
-        ys = np.ma.ravel(ys)
-        zs = np.ma.ravel(zs)
-        if xs.size != ys.size:
-            raise ValueError("Arguments 'xs' and 'ys' must be of same size.")
-        if xs.size != zs.size:
-            if zs.size == 1:
-                zs = np.tile(zs[0], xs.size)
-            else:
-                raise ValueError(("Argument 'zs' must be of same size as 'xs' "
-                    "and 'ys' or of size 1."))
-
+        xs, ys, zs = cbook._broadcast_with_masks(xs, ys, zs)
         s = np.ma.ravel(s)  # This doesn't have to match x, y in size.
 
-        cstr = cbook.is_string_like(c) or cbook.is_sequence_of_strings(c)
-        if not cstr:
-            c = np.asanyarray(c)
-            if c.size == xs.size:
-                c = np.ma.ravel(c)
-
-        xs, ys, zs, s, c = cbook.delete_masked_points(xs, ys, zs, s, c)
-
-        patches = Axes.scatter(self, xs, ys, s=s, c=c, *args, **kwargs)
-        if not cbook.iterable(zs):
-            is_2d = True
-            zs = np.ones(len(xs)) * zs
-        else:
-            is_2d = False
-        art3d.patch_collection_2d_to_3d(patches, zs=zs, zdir=zdir,
-                                        depthshade=depthshade)
-
+        xs, ys, zs, s, c, color = cbook.delete_masked_points(
+            xs, ys, zs, s, c, kwargs.get('color', None)
+            )
+        if kwargs.get("color") is not None:
+            kwargs['color'] = color
+        if depthshade is None:
+            depthshade = mpl.rcParams['axes3d.depthshade']
+        if depthshade_minalpha is None:
+            depthshade_minalpha = mpl.rcParams['axes3d.depthshade_minalpha']
+
+        # For xs and ys, 2D scatter() will do the copying.
+        if np.may_share_memory(zs_orig, zs):  # Avoid unnecessary copies.
+            zs = zs.copy()
+
+        patches = super().scatter(xs, ys, s=s, c=c, *args, **kwargs)
+        art3d.patch_collection_2d_to_3d(
+            patches,
+            zs=zs,
+            zdir=zdir,
+            depthshade=depthshade,
+            depthshade_minalpha=depthshade_minalpha,
+            axlim_clip=axlim_clip,
+        )
         if self._zmargin < 0.05 and xs.size > 0:
             self.set_zmargin(0.05)
 
-        #FIXME: why is this necessary?
-        if not is_2d:
-            self.auto_scale_xyz(xs, ys, zs, had_data)
+        self.auto_scale_xyz(xs, ys, zs, had_data)
 
         return patches
 
     scatter3D = scatter
 
-    def bar(self, left, height, zs=0, zdir='z', *args, **kwargs):
-        '''
+    @_preprocess_data()
+    def bar(self, left, height, zs=0, zdir='z', *args,
+            axlim_clip=False, **kwargs):
+        """
         Add 2D bar(s).
 
-        ==========  ================================================
-        Argument    Description
-        ==========  ================================================
-        *left*      The x coordinates of the left sides of the bars.
-        *height*    The height of the bars.
-        *zs*        Z coordinate of bars, if one value is specified
-                    they will all be placed at the same z.
-        *zdir*      Which direction to use as z ('x', 'y' or 'z')
-                    when plotting a 2D set.
-        ==========  ================================================
-
-        Keyword arguments are passed onto :func:`~matplotlib.axes.Axes.bar`.
-
-        Returns a :class:`~mpl_toolkits.mplot3d.art3d.Patch3DCollection`
-        '''
-
+        Parameters
+        ----------
+        left : 1D array-like
+            The x coordinates of the left sides of the bars.
+        height : 1D array-like
+            The height of the bars.
+        zs : float or 1D array-like, default: 0
+            Z coordinate of bars; if a single value is specified, it will be
+            used for all bars.
+        zdir : {'x', 'y', 'z'}, default: 'z'
+            When plotting 2D data, the direction to use as z ('x', 'y' or 'z').
+        axlim_clip : bool, default: False
+            Whether to hide bars with points outside the axes view limits.
+
+            .. versionadded:: 3.10
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+        **kwargs
+            Other keyword arguments are forwarded to
+            `matplotlib.axes.Axes.bar`.
+
+        Returns
+        -------
+        mpl_toolkits.mplot3d.art3d.Patch3DCollection
+        """
         had_data = self.has_data()
 
-        patches = Axes.bar(self, left, height, *args, **kwargs)
+        patches = super().bar(left, height, *args, **kwargs)
 
-        if not cbook.iterable(zs):
-            zs = np.ones(len(left)) * zs
+        zs = np.broadcast_to(zs, len(left), subok=True)
 
         verts = []
         verts_zs = []
         for p, z in zip(patches, zs):
-            vs = art3d.get_patch_verts(p)
+            vs = art3d._get_patch_verts(p)
             verts += vs.tolist()
             verts_zs += [z] * len(vs)
-            art3d.patch_2d_to_3d(p, z, zdir)
+            art3d.patch_2d_to_3d(p, z, zdir, axlim_clip)
             if 'alpha' in kwargs:
                 p.set_alpha(kwargs['alpha'])
 
-        if len(verts) > 0 :
+        if len(verts) > 0:
             # the following has to be skipped if verts is empty
             # NOTE: Bugs could still occur if len(verts) > 0,
             #       but the "2nd dimension" is empty.
-            xs, ys = list(zip(*verts))
-        else :
+            xs, ys = zip(*verts)
+        else:
             xs, ys = [], []
 
         xs, ys, verts_zs = art3d.juggle_axes(xs, ys, verts_zs, zdir)
@@ -2307,282 +3069,303 @@ def bar(self, left, height, zs=0, zdir='z', *args, **kwargs):
 
         return patches
 
-    def bar3d(self, x, y, z, dx, dy, dz, color='b',
-              zsort='average', *args, **kwargs):
-        '''
-        Generate a 3D bar, or multiple bars.
+    @_preprocess_data()
+    def bar3d(self, x, y, z, dx, dy, dz, color=None,
+              zsort='average', shade=True, lightsource=None, *args,
+              axlim_clip=False, **kwargs):
+        """
+        Generate a 3D barplot.
 
-        When generating multiple bars, x, y, z have to be arrays.
-        dx, dy, dz can be arrays or scalars.
+        This method creates three-dimensional barplot where the width,
+        depth, height, and color of the bars can all be uniquely set.
 
-        *color* can be:
+        Parameters
+        ----------
+        x, y, z : array-like
+            The coordinates of the anchor point of the bars.
 
-         - A single color value, to color all bars the same color.
+        dx, dy, dz : float or array-like
+            The width, depth, and height of the bars, respectively.
 
-         - An array of colors of length N bars, to color each bar
-           independently.
+        color : sequence of colors, optional
+            The color of the bars can be specified globally or
+            individually. This parameter can be:
 
-         - An array of colors of length 6, to color the faces of the
-           bars similarly.
+            - A single color, to color all bars the same color.
+            - An array of colors of length N bars, to color each bar
+              independently.
+            - An array of colors of length 6, to color the faces of the
+              bars similarly.
+            - An array of colors of length 6 * N bars, to color each face
+              independently.
 
-         - An array of colors of length 6 * N bars, to color each face
-           independently.
+            When coloring the faces of the boxes specifically, this is
+            the order of the coloring:
 
-         When coloring the faces of the boxes specifically, this is
-         the order of the coloring:
+            1. -Z (bottom of box)
+            2. +Z (top of box)
+            3. -Y
+            4. +Y
+            5. -X
+            6. +X
 
-          1. -Z (bottom of box)
-          2. +Z (top of box)
-          3. -Y
-          4. +Y
-          5. -X
-          6. +X
+        zsort : {'average', 'min', 'max'}, default: 'average'
+            The z-axis sorting scheme passed onto `~.art3d.Poly3DCollection`
 
-        Keyword arguments are passed onto
-        :func:`~mpl_toolkits.mplot3d.art3d.Poly3DCollection`
-        '''
-        had_data = self.has_data()
+        shade : bool, default: True
+            When true, this shades the dark sides of the bars (relative
+            to the plot's source of light).
 
-        if not cbook.iterable(x):
-            x = [x]
-        if not cbook.iterable(y):
-            y = [y]
-        if not cbook.iterable(z):
-            z = [z]
-
-        if not cbook.iterable(dx):
-            dx = [dx]
-        if not cbook.iterable(dy):
-            dy = [dy]
-        if not cbook.iterable(dz):
-            dz = [dz]
-
-        if len(dx) == 1:
-            dx = dx * len(x)
-        if len(dy) == 1:
-            dy = dy * len(y)
-        if len(dz) == 1:
-            dz = dz * len(z)
-
-        if len(x) != len(y) or len(x) != len(z):
-            warnings.warn('x, y, and z must be the same length.')
-
-        # FIXME: This is archaic and could be done much better.
-        minx, miny, minz = 1e20, 1e20, 1e20
-        maxx, maxy, maxz = -1e20, -1e20, -1e20
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
 
-        polys = []
-        for xi, yi, zi, dxi, dyi, dzi in zip(x, y, z, dx, dy, dz):
-            minx = min(xi, minx)
-            maxx = max(xi + dxi, maxx)
-            miny = min(yi, miny)
-            maxy = max(yi + dyi, maxy)
-            minz = min(zi, minz)
-            maxz = max(zi + dzi, maxz)
-
-            polys.extend([
-                ((xi, yi, zi), (xi + dxi, yi, zi),
-                    (xi + dxi, yi + dyi, zi), (xi, yi + dyi, zi)),
-                ((xi, yi, zi + dzi), (xi + dxi, yi, zi + dzi),
-                    (xi + dxi, yi + dyi, zi + dzi), (xi, yi + dyi, zi + dzi)),
-
-                ((xi, yi, zi), (xi + dxi, yi, zi),
-                    (xi + dxi, yi, zi + dzi), (xi, yi, zi + dzi)),
-                ((xi, yi + dyi, zi), (xi + dxi, yi + dyi, zi),
-                    (xi + dxi, yi + dyi, zi + dzi), (xi, yi + dyi, zi + dzi)),
-
-                ((xi, yi, zi), (xi, yi + dyi, zi),
-                    (xi, yi + dyi, zi + dzi), (xi, yi, zi + dzi)),
-                ((xi + dxi, yi, zi), (xi + dxi, yi + dyi, zi),
-                    (xi + dxi, yi + dyi, zi + dzi), (xi + dxi, yi, zi + dzi)),
-            ])
+        axlim_clip : bool, default: False
+            Whether to hide the bars with points outside the axes view limits.
+
+            .. versionadded:: 3.10
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            Any additional keyword arguments are passed onto
+            `~.art3d.Poly3DCollection`.
+
+        Returns
+        -------
+        collection : `~.art3d.Poly3DCollection`
+            A collection of three-dimensional polygons representing the bars.
+        """
+
+        had_data = self.has_data()
+
+        x, y, z, dx, dy, dz = np.broadcast_arrays(
+            np.atleast_1d(x), y, z, dx, dy, dz)
+        minx = np.min(x)
+        maxx = np.max(x + dx)
+        miny = np.min(y)
+        maxy = np.max(y + dy)
+        minz = np.min(z)
+        maxz = np.max(z + dz)
+
+        # shape (6, 4, 3)
+        # All faces are oriented facing outwards - when viewed from the
+        # outside, their vertices are in a counterclockwise ordering.
+        cuboid = np.array([
+            # -z
+            (
+                (0, 0, 0),
+                (0, 1, 0),
+                (1, 1, 0),
+                (1, 0, 0),
+            ),
+            # +z
+            (
+                (0, 0, 1),
+                (1, 0, 1),
+                (1, 1, 1),
+                (0, 1, 1),
+            ),
+            # -y
+            (
+                (0, 0, 0),
+                (1, 0, 0),
+                (1, 0, 1),
+                (0, 0, 1),
+            ),
+            # +y
+            (
+                (0, 1, 0),
+                (0, 1, 1),
+                (1, 1, 1),
+                (1, 1, 0),
+            ),
+            # -x
+            (
+                (0, 0, 0),
+                (0, 0, 1),
+                (0, 1, 1),
+                (0, 1, 0),
+            ),
+            # +x
+            (
+                (1, 0, 0),
+                (1, 1, 0),
+                (1, 1, 1),
+                (1, 0, 1),
+            ),
+        ])
+
+        # indexed by [bar, face, vertex, coord]
+        polys = np.empty(x.shape + cuboid.shape)
+
+        # handle each coordinate separately
+        for i, p, dp in [(0, x, dx), (1, y, dy), (2, z, dz)]:
+            p = p[..., np.newaxis, np.newaxis]
+            dp = dp[..., np.newaxis, np.newaxis]
+            polys[..., i] = p + dp * cuboid[..., i]
+
+        # collapse the first two axes
+        polys = polys.reshape((-1,) + polys.shape[2:])
 
         facecolors = []
         if color is None:
-            # no color specified
-            facecolors = [None] * len(x)
-        elif len(color) == len(x):
+            color = [self._get_patches_for_fill.get_next_color()]
+
+        color = list(mcolors.to_rgba_array(color))
+
+        if len(color) == len(x):
             # bar colors specified, need to expand to number of faces
             for c in color:
                 facecolors.extend([c] * 6)
         else:
             # a single color specified, or face colors specified explicitly
-            facecolors = list(colorConverter.to_rgba_array(color))
+            facecolors = color
             if len(facecolors) < len(x):
                 facecolors *= (6 * len(x))
 
-        normals = self._generate_normals(polys)
-        sfacecolors = self._shade_colors(facecolors, normals)
         col = art3d.Poly3DCollection(polys,
                                      zsort=zsort,
-                                     facecolor=sfacecolors,
+                                     facecolors=facecolors,
+                                     shade=shade,
+                                     lightsource=lightsource,
+                                     axlim_clip=axlim_clip,
                                      *args, **kwargs)
         self.add_collection(col)
 
         self.auto_scale_xyz((minx, maxx), (miny, maxy), (minz, maxz), had_data)
 
+        return col
+
     def set_title(self, label, fontdict=None, loc='center', **kwargs):
-        ret = Axes.set_title(self, label, fontdict=fontdict, loc=loc, **kwargs)
+        # docstring inherited
+        ret = super().set_title(label, fontdict=fontdict, loc=loc, **kwargs)
         (x, y) = self.title.get_position()
         self.title.set_y(0.92 * y)
         return ret
-    set_title.__doc__ = maxes.Axes.set_title.__doc__
 
-    def quiver(self, *args, **kwargs):
+    @_preprocess_data()
+    def quiver(self, X, Y, Z, U, V, W, *,
+               length=1, arrow_length_ratio=.3, pivot='tail', normalize=False,
+               axlim_clip=False, **kwargs):
         """
         Plot a 3D field of arrows.
 
-        call signatures::
-
-            quiver(X, Y, Z, U, V, W, **kwargs)
+        The arguments can be array-like or scalars, so long as they can be
+        broadcast together. The arguments can also be masked arrays. If an
+        element in any of argument is masked, then that corresponding quiver
+        element will not be plotted.
 
-        Arguments:
+        Parameters
+        ----------
+        X, Y, Z : array-like
+            The x, y and z coordinates of the arrow locations (default is
+            tail of arrow; see *pivot* kwarg).
 
-            *X*, *Y*, *Z*:
-                The x, y and z coordinates of the arrow locations (default is
-                tip of arrow; see *pivot* kwarg)
+        U, V, W : array-like
+            The x, y and z components of the arrow vectors.
 
-            *U*, *V*, *W*:
-                The x, y and z components of the arrow vectors
+        length : float, default: 1
+            The length of each quiver.
 
-        The arguments could be array-like or scalars, so long as they
-        they can be broadcast together. The arguments can also be
-        masked arrays. If an element in any of argument is masked, then
-        that corresponding quiver element will not be plotted.
+        arrow_length_ratio : float, default: 0.3
+            The ratio of the arrow head with respect to the quiver.
 
-        Keyword arguments:
+        pivot : {'tail', 'middle', 'tip'}, default: 'tail'
+            The part of the arrow that is at the grid point; the arrow
+            rotates about this point, hence the name *pivot*.
 
-            *length*: [1.0 | float]
-                The length of each quiver, default to 1.0, the unit is
-                the same with the axes
+        normalize : bool, default: False
+            Whether all arrows are normalized to have the same length, or keep
+            the lengths defined by *u*, *v*, and *w*.
 
-            *arrow_length_ratio*: [0.3 | float]
-                The ratio of the arrow head with respect to the quiver,
-                default to 0.3
+        axlim_clip : bool, default: False
+            Whether to hide arrows with points outside the axes view limits.
 
-            *pivot*: [ 'tail' | 'middle' | 'tip' ]
-                The part of the arrow that is at the grid point; the arrow
-                rotates about this point, hence the name *pivot*.
+            .. versionadded:: 3.10
 
-        Any additional keyword arguments are delegated to
-        :class:`~matplotlib.collections.LineCollection`
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
 
+        **kwargs
+            Any additional keyword arguments are delegated to
+            :class:`.Line3DCollection`
         """
-        def calc_arrow(uvw, angle=15):
-            """
-            To calculate the arrow head. uvw should be a unit vector.
-            """
-            # get unit direction vector perpendicular to (u,v,w)
-            norm = np.linalg.norm(uvw[:2])
-            if norm > 0:
-                x = uvw[1] / norm
-                y = -uvw[0] / norm
-            else:
-                x, y = 0, 1
 
+        def calc_arrows(UVW):
+            # get unit direction vector perpendicular to (u, v, w)
+            x = UVW[:, 0]
+            y = UVW[:, 1]
+            norm = np.linalg.norm(UVW[:, :2], axis=1)
+            x_p = np.divide(y, norm, where=norm != 0, out=np.zeros_like(x))
+            y_p = np.divide(-x,  norm, where=norm != 0, out=np.ones_like(x))
             # compute the two arrowhead direction unit vectors
-            ra = math.radians(angle)
-            c = math.cos(ra)
-            s = math.sin(ra)
-
-            # construct the rotation matrices
-            Rpos = np.array([[c+(x**2)*(1-c), x*y*(1-c), y*s],
-                             [y*x*(1-c), c+(y**2)*(1-c), -x*s],
-                             [-y*s, x*s, c]])
-            # opposite rotation negates everything but the diagonal
-            Rneg = Rpos * (np.eye(3)*2 - 1)
-
-            # multiply them to get the rotated vector
-            return Rpos.dot(uvw), Rneg.dot(uvw)
+            rangle = math.radians(15)
+            c = math.cos(rangle)
+            s = math.sin(rangle)
+            # construct the rotation matrices of shape (3, 3, n)
+            r13 = y_p * s
+            r32 = x_p * s
+            r12 = x_p * y_p * (1 - c)
+            Rpos = np.array(
+                [[c + (x_p ** 2) * (1 - c), r12, r13],
+                 [r12, c + (y_p ** 2) * (1 - c), -r32],
+                 [-r13, r32, np.full_like(x_p, c)]])
+            # opposite rotation negates all the sin terms
+            Rneg = Rpos.copy()
+            Rneg[[0, 1, 2, 2], [2, 2, 0, 1]] *= -1
+            # Batch n (3, 3) x (3) matrix multiplications ((3, 3, n) x (n, 3)).
+            Rpos_vecs = np.einsum("ij...,...j->...i", Rpos, UVW)
+            Rneg_vecs = np.einsum("ij...,...j->...i", Rneg, UVW)
+            # Stack into (n, 2, 3) result.
+            return np.stack([Rpos_vecs, Rneg_vecs], axis=1)
 
         had_data = self.has_data()
 
-        # handle kwargs
-        # shaft length
-        length = kwargs.pop('length', 1)
-        # arrow length ratio to the shaft length
-        arrow_length_ratio = kwargs.pop('arrow_length_ratio', 0.3)
-        # pivot point
-        pivot = kwargs.pop('pivot', 'tip')
-
-        # handle args
-        argi = 6
-        if len(args) < argi:
-            ValueError('Wrong number of arguments. Expected %d got %d' %
-                       (argi, len(args)))
-
-        # first 6 arguments are X, Y, Z, U, V, W
-        input_args = args[:argi]
-        # if any of the args are scalar, convert into list
-        input_args = [[k] if isinstance(k, (int, float)) else k
-                      for k in input_args]
-
-        # extract the masks, if any
-        masks = [k.mask for k in input_args if isinstance(k, np.ma.MaskedArray)]
-        # broadcast to match the shape
-        bcast = np.broadcast_arrays(*(input_args + masks))
-        input_args = bcast[:argi]
-        masks = bcast[argi:]
-        if masks:
-            # combine the masks into one
-            mask = reduce(np.logical_or, masks)
-            # put mask on and compress
-            input_args = [np.ma.array(k, mask=mask).compressed()
-                          for k in input_args]
-        else:
-            input_args = [k.flatten() for k in input_args]
+        input_args = cbook._broadcast_with_masks(X, Y, Z, U, V, W,
+                                                 compress=True)
 
         if any(len(v) == 0 for v in input_args):
             # No quivers, so just make an empty collection and return early
-            linec = art3d.Line3DCollection([], *args[argi:], **kwargs)
+            linec = art3d.Line3DCollection([], **kwargs)
             self.add_collection(linec)
             return linec
 
-        # Following assertions must be true before proceeding
-        # must all be ndarray
-        assert all(isinstance(k, np.ndarray) for k in input_args)
-        # must all in same shape
-        assert len(set([k.shape for k in input_args])) == 1
-
-        shaft_dt = np.linspace(0, length, num=2)
+        shaft_dt = np.array([0., length], dtype=float)
         arrow_dt = shaft_dt * arrow_length_ratio
 
+        _api.check_in_list(['tail', 'middle', 'tip'], pivot=pivot)
         if pivot == 'tail':
             shaft_dt -= length
         elif pivot == 'middle':
-            shaft_dt -= length/2.
-        elif pivot != 'tip':
-            raise ValueError('Invalid pivot argument: ' + str(pivot))
+            shaft_dt -= length / 2
 
         XYZ = np.column_stack(input_args[:3])
-        UVW = np.column_stack(input_args[3:argi]).astype(float)
+        UVW = np.column_stack(input_args[3:]).astype(float)
 
         # Normalize rows of UVW
-        # Note: with numpy 1.9+, could use np.linalg.norm(UVW, axis=1)
-        norm = np.sqrt(np.sum(UVW**2, axis=1))
-
-        # If any row of UVW is all zeros, don't make a quiver for it
-        mask = norm > 1e-10
-        XYZ = XYZ[mask]
-        UVW = UVW[mask] / norm[mask].reshape((-1, 1))
+        if normalize:
+            norm = np.linalg.norm(UVW, axis=1)
+            norm[norm == 0] = 1
+            UVW = UVW / norm.reshape((-1, 1))
 
         if len(XYZ) > 0:
             # compute the shaft lines all at once with an outer product
             shafts = (XYZ - np.multiply.outer(shaft_dt, UVW)).swapaxes(0, 1)
-            # compute head direction vectors, n heads by 2 sides by 3 dimensions
-            head_dirs = np.array([calc_arrow(d) for d in UVW])
-            # compute all head lines at once, starting from where the shaft ends
+            # compute head direction vectors, n heads x 2 sides x 3 dimensions
+            head_dirs = calc_arrows(UVW)
+            # compute all head lines at once, starting from the shaft ends
             heads = shafts[:, :1] - np.multiply.outer(arrow_dt, head_dirs)
             # stack left and right head lines together
-            heads.shape = (len(arrow_dt), -1, 3)
+            heads = heads.reshape((len(arrow_dt), -1, 3))
             # transpose to get a list of lines
             heads = heads.swapaxes(0, 1)
 
-            lines = list(shafts) + list(heads)
+            lines = [*shafts, *heads[::2], *heads[1::2]]
         else:
             lines = []
 
-        linec = art3d.Line3DCollection(lines, *args[argi:], **kwargs)
+        linec = art3d.Line3DCollection(lines, axlim_clip=axlim_clip, **kwargs)
         self.add_collection(linec)
 
         self.auto_scale_xyz(XYZ[:, 0], XYZ[:, 1], XYZ[:, 2], had_data)
@@ -2591,18 +3374,703 @@ def calc_arrow(uvw, angle=15):
 
     quiver3D = quiver
 
+    def voxels(self, *args, facecolors=None, edgecolors=None, shade=True,
+               lightsource=None, axlim_clip=False, **kwargs):
+        """
+        ax.voxels([x, y, z,] /, filled, facecolors=None, edgecolors=None, \
+**kwargs)
+
+        Plot a set of filled voxels
+
+        All voxels are plotted as 1x1x1 cubes on the axis, with
+        ``filled[0, 0, 0]`` placed with its lower corner at the origin.
+        Occluded faces are not plotted.
+
+        Parameters
+        ----------
+        filled : 3D np.array of bool
+            A 3D array of values, with truthy values indicating which voxels
+            to fill
+
+        x, y, z : 3D np.array, optional
+            The coordinates of the corners of the voxels. This should broadcast
+            to a shape one larger in every dimension than the shape of
+            *filled*.  These can be used to plot non-cubic voxels.
+
+            If not specified, defaults to increasing integers along each axis,
+            like those returned by :func:`~numpy.indices`.
+            As indicated by the ``/`` in the function signature, these
+            arguments can only be passed positionally.
+
+        facecolors, edgecolors : array-like, optional
+            The color to draw the faces and edges of the voxels. Can only be
+            passed as keyword arguments.
+            These parameters can be:
+
+            - A single color value, to color all voxels the same color. This
+              can be either a string, or a 1D RGB/RGBA array
+            - ``None``, the default, to use a single color for the faces, and
+              the style default for the edges.
+            - A 3D `~numpy.ndarray` of color names, with each item the color
+              for the corresponding voxel. The size must match the voxels.
+            - A 4D `~numpy.ndarray` of RGB/RGBA data, with the components
+              along the last axis.
+
+        shade : bool, default: True
+            Whether to shade the facecolors.
+
+        lightsource : `~matplotlib.colors.LightSource`, optional
+            The lightsource to use when *shade* is True.
+
+        axlim_clip : bool, default: False
+            Whether to hide voxels with points outside the axes view limits.
+
+            .. versionadded:: 3.10
+
+        **kwargs
+            Additional keyword arguments to pass onto
+            `~mpl_toolkits.mplot3d.art3d.Poly3DCollection`.
+
+        Returns
+        -------
+        faces : dict
+            A dictionary indexed by coordinate, where ``faces[i, j, k]`` is a
+            `.Poly3DCollection` of the faces drawn for the voxel
+            ``filled[i, j, k]``. If no faces were drawn for a given voxel,
+            either because it was not asked to be drawn, or it is fully
+            occluded, then ``(i, j, k) not in faces``.
+
+        Examples
+        --------
+        .. plot:: gallery/mplot3d/voxels.py
+        .. plot:: gallery/mplot3d/voxels_rgb.py
+        .. plot:: gallery/mplot3d/voxels_torus.py
+        .. plot:: gallery/mplot3d/voxels_numpy_logo.py
+        """
 
-def get_test_data(delta=0.05):
-    '''
-    Return a tuple X, Y, Z with a test data set.
-    '''
+        # work out which signature we should be using, and use it to parse
+        # the arguments. Name must be voxels for the correct error message
+        if len(args) >= 3:
+            # underscores indicate position only
+            def voxels(__x, __y, __z, filled, **kwargs):
+                return (__x, __y, __z), filled, kwargs
+        else:
+            def voxels(filled, **kwargs):
+                return None, filled, kwargs
+
+        xyz, filled, kwargs = voxels(*args, **kwargs)
+
+        # check dimensions
+        if filled.ndim != 3:
+            raise ValueError("Argument filled must be 3-dimensional")
+        size = np.array(filled.shape, dtype=np.intp)
+
+        # check xyz coordinates, which are one larger than the filled shape
+        coord_shape = tuple(size + 1)
+        if xyz is None:
+            x, y, z = np.indices(coord_shape)
+        else:
+            x, y, z = (np.broadcast_to(c, coord_shape) for c in xyz)
+
+        def _broadcast_color_arg(color, name):
+            if np.ndim(color) in (0, 1):
+                # single color, like "red" or [1, 0, 0]
+                return np.broadcast_to(color, filled.shape + np.shape(color))
+            elif np.ndim(color) in (3, 4):
+                # 3D array of strings, or 4D array with last axis rgb
+                if np.shape(color)[:3] != filled.shape:
+                    raise ValueError(
+                        f"When multidimensional, {name} must match the shape "
+                        "of filled")
+                return color
+            else:
+                raise ValueError(f"Invalid {name} argument")
+
+        # broadcast and default on facecolors
+        if facecolors is None:
+            facecolors = self._get_patches_for_fill.get_next_color()
+        facecolors = _broadcast_color_arg(facecolors, 'facecolors')
+
+        # broadcast but no default on edgecolors
+        edgecolors = _broadcast_color_arg(edgecolors, 'edgecolors')
+
+        # scale to the full array, even if the data is only in the center
+        self.auto_scale_xyz(x, y, z)
+
+        # points lying on corners of a square
+        square = np.array([
+            [0, 0, 0],
+            [1, 0, 0],
+            [1, 1, 0],
+            [0, 1, 0],
+        ], dtype=np.intp)
+
+        voxel_faces = defaultdict(list)
+
+        def permutation_matrices(n):
+            """Generate cyclic permutation matrices."""
+            mat = np.eye(n, dtype=np.intp)
+            for i in range(n):
+                yield mat
+                mat = np.roll(mat, 1, axis=0)
+
+        # iterate over each of the YZ, ZX, and XY orientations, finding faces
+        # to render
+        for permute in permutation_matrices(3):
+            # find the set of ranges to iterate over
+            pc, qc, rc = permute.T.dot(size)
+            pinds = np.arange(pc)
+            qinds = np.arange(qc)
+            rinds = np.arange(rc)
+
+            square_rot_pos = square.dot(permute.T)
+            square_rot_neg = square_rot_pos[::-1]
+
+            # iterate within the current plane
+            for p in pinds:
+                for q in qinds:
+                    # iterate perpendicularly to the current plane, handling
+                    # boundaries. We only draw faces between a voxel and an
+                    # empty space, to avoid drawing internal faces.
+
+                    # draw lower faces
+                    p0 = permute.dot([p, q, 0])
+                    i0 = tuple(p0)
+                    if filled[i0]:
+                        voxel_faces[i0].append(p0 + square_rot_neg)
+
+                    # draw middle faces
+                    for r1, r2 in itertools.pairwise(rinds):
+                        p1 = permute.dot([p, q, r1])
+                        p2 = permute.dot([p, q, r2])
+
+                        i1 = tuple(p1)
+                        i2 = tuple(p2)
+
+                        if filled[i1] and not filled[i2]:
+                            voxel_faces[i1].append(p2 + square_rot_pos)
+                        elif not filled[i1] and filled[i2]:
+                            voxel_faces[i2].append(p2 + square_rot_neg)
+
+                    # draw upper faces
+                    pk = permute.dot([p, q, rc-1])
+                    pk2 = permute.dot([p, q, rc])
+                    ik = tuple(pk)
+                    if filled[ik]:
+                        voxel_faces[ik].append(pk2 + square_rot_pos)
+
+        # iterate over the faces, and generate a Poly3DCollection for each
+        # voxel
+        polygons = {}
+        for coord, faces_inds in voxel_faces.items():
+            # convert indices into 3D positions
+            if xyz is None:
+                faces = faces_inds
+            else:
+                faces = []
+                for face_inds in faces_inds:
+                    ind = face_inds[:, 0], face_inds[:, 1], face_inds[:, 2]
+                    face = np.empty(face_inds.shape)
+                    face[:, 0] = x[ind]
+                    face[:, 1] = y[ind]
+                    face[:, 2] = z[ind]
+                    faces.append(face)
+
+            # shade the faces
+            facecolor = facecolors[coord]
+            edgecolor = edgecolors[coord]
+
+            poly = art3d.Poly3DCollection(
+                faces, facecolors=facecolor, edgecolors=edgecolor,
+                shade=shade, lightsource=lightsource, axlim_clip=axlim_clip,
+                **kwargs)
+            self.add_collection3d(poly)
+            polygons[coord] = poly
+
+        return polygons
+
+    @_preprocess_data(replace_names=["x", "y", "z", "xerr", "yerr", "zerr"])
+    def errorbar(self, x, y, z, zerr=None, yerr=None, xerr=None, fmt='',
+                 barsabove=False, errorevery=1, ecolor=None, elinewidth=None,
+                 capsize=None, capthick=None, xlolims=False, xuplims=False,
+                 ylolims=False, yuplims=False, zlolims=False, zuplims=False,
+                 axlim_clip=False,
+                 **kwargs):
+        """
+        Plot lines and/or markers with errorbars around them.
+
+        *x*/*y*/*z* define the data locations, and *xerr*/*yerr*/*zerr* define
+        the errorbar sizes. By default, this draws the data markers/lines as
+        well the errorbars. Use fmt='none' to draw errorbars only.
+
+        Parameters
+        ----------
+        x, y, z : float or array-like
+            The data positions.
+
+        xerr, yerr, zerr : float or array-like, shape (N,) or (2, N), optional
+            The errorbar sizes:
+
+            - scalar: Symmetric +/- values for all data points.
+            - shape(N,): Symmetric +/-values for each data point.
+            - shape(2, N): Separate - and + values for each bar. First row
+              contains the lower errors, the second row contains the upper
+              errors.
+            - *None*: No errorbar.
+
+            Note that all error arrays should have *positive* values.
+
+        fmt : str, default: ''
+            The format for the data points / data lines. See `.plot` for
+            details.
+
+            Use 'none' (case-insensitive) to plot errorbars without any data
+            markers.
+
+        ecolor : :mpltype:`color`, default: None
+            The color of the errorbar lines.  If None, use the color of the
+            line connecting the markers.
+
+        elinewidth : float, default: None
+            The linewidth of the errorbar lines. If None, the linewidth of
+            the current style is used.
+
+        capsize : float, default: :rc:`errorbar.capsize`
+            The length of the error bar caps in points.
+
+        capthick : float, default: None
+            An alias to the keyword argument *markeredgewidth* (a.k.a. *mew*).
+            This setting is a more sensible name for the property that
+            controls the thickness of the error bar cap in points. For
+            backwards compatibility, if *mew* or *markeredgewidth* are given,
+            then they will over-ride *capthick*. This may change in future
+            releases.
+
+        barsabove : bool, default: False
+            If True, will plot the errorbars above the plot
+            symbols. Default is below.
+
+        xlolims, ylolims, zlolims : bool, default: False
+            These arguments can be used to indicate that a value gives only
+            lower limits. In that case a caret symbol is used to indicate
+            this. *lims*-arguments may be scalars, or array-likes of the same
+            length as the errors. To use limits with inverted axes,
+            `~.set_xlim`, `~.set_ylim`, or `~.set_zlim` must be
+            called before `errorbar`. Note the tricky parameter names: setting
+            e.g. *ylolims* to True means that the y-value is a *lower* limit of
+            the True value, so, only an *upward*-pointing arrow will be drawn!
+
+        xuplims, yuplims, zuplims : bool, default: False
+            Same as above, but for controlling the upper limits.
+
+        errorevery : int or (int, int), default: 1
+            draws error bars on a subset of the data. *errorevery* =N draws
+            error bars on the points (x[::N], y[::N], z[::N]).
+            *errorevery* =(start, N) draws error bars on the points
+            (x[start::N], y[start::N], z[start::N]). e.g. *errorevery* =(6, 3)
+            adds error bars to the data at (x[6], x[9], x[12], x[15], ...).
+            Used to avoid overlapping error bars when two series share x-axis
+            values.
+
+        axlim_clip : bool, default: False
+            Whether to hide error bars that are outside the axes limits.
+
+            .. versionadded:: 3.10
+
+        Returns
+        -------
+        errlines : list
+            List of `~mpl_toolkits.mplot3d.art3d.Line3DCollection` instances
+            each containing an errorbar line.
+        caplines : list
+            List of `~mpl_toolkits.mplot3d.art3d.Line3D` instances each
+            containing a capline object.
+        limmarks : list
+            List of `~mpl_toolkits.mplot3d.art3d.Line3D` instances each
+            containing a marker with an upper or lower limit.
+
+        Other Parameters
+        ----------------
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        **kwargs
+            All other keyword arguments for styling errorbar lines are passed
+            `~mpl_toolkits.mplot3d.art3d.Line3DCollection`.
+
+        Examples
+        --------
+        .. plot:: gallery/mplot3d/errorbar3d.py
+        """
+        had_data = self.has_data()
+
+        kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
+        # Drop anything that comes in as None to use the default instead.
+        kwargs = {k: v for k, v in kwargs.items() if v is not None}
+        kwargs.setdefault('zorder', 2)
+
+        self._process_unit_info([("x", x), ("y", y), ("z", z)], kwargs,
+                                convert=False)
+
+        # make sure all the args are iterable; use lists not arrays to
+        # preserve units
+        x = x if np.iterable(x) else [x]
+        y = y if np.iterable(y) else [y]
+        z = z if np.iterable(z) else [z]
+
+        if not len(x) == len(y) == len(z):
+            raise ValueError("'x', 'y', and 'z' must have the same size")
+
+        everymask = self._errorevery_to_mask(x, errorevery)
+
+        label = kwargs.pop("label", None)
+        kwargs['label'] = '_nolegend_'
+
+        # Create the main line and determine overall kwargs for child artists.
+        # We avoid calling self.plot() directly, or self._get_lines(), because
+        # that would call self._process_unit_info again, and do other indirect
+        # data processing.
+        (data_line, base_style), = self._get_lines._plot_args(
+            self, (x, y) if fmt == '' else (x, y, fmt), kwargs, return_kwargs=True)
+        art3d.line_2d_to_3d(data_line, zs=z, axlim_clip=axlim_clip)
+
+        # Do this after creating `data_line` to avoid modifying `base_style`.
+        if barsabove:
+            data_line.set_zorder(kwargs['zorder'] - .1)
+        else:
+            data_line.set_zorder(kwargs['zorder'] + .1)
+
+        # Add line to plot, or throw it away and use it to determine kwargs.
+        if fmt.lower() != 'none':
+            self.add_line(data_line)
+        else:
+            data_line = None
+            # Remove alpha=0 color that _process_plot_format returns.
+            base_style.pop('color')
+
+        if 'color' not in base_style:
+            base_style['color'] = 'C0'
+        if ecolor is None:
+            ecolor = base_style['color']
+
+        # Eject any line-specific information from format string, as it's not
+        # needed for bars or caps.
+        for key in ['marker', 'markersize', 'markerfacecolor',
+                    'markeredgewidth', 'markeredgecolor', 'markevery',
+                    'linestyle', 'fillstyle', 'drawstyle', 'dash_capstyle',
+                    'dash_joinstyle', 'solid_capstyle', 'solid_joinstyle']:
+            base_style.pop(key, None)
+
+        # Make the style dict for the line collections (the bars).
+        eb_lines_style = {**base_style, 'color': ecolor}
+
+        if elinewidth:
+            eb_lines_style['linewidth'] = elinewidth
+        elif 'linewidth' in kwargs:
+            eb_lines_style['linewidth'] = kwargs['linewidth']
+
+        for key in ('transform', 'alpha', 'zorder', 'rasterized'):
+            if key in kwargs:
+                eb_lines_style[key] = kwargs[key]
+
+        # Make the style dict for caps (the "hats").
+        eb_cap_style = {**base_style, 'linestyle': 'None'}
+        if capsize is None:
+            capsize = mpl.rcParams["errorbar.capsize"]
+        if capsize > 0:
+            eb_cap_style['markersize'] = 2. * capsize
+        if capthick is not None:
+            eb_cap_style['markeredgewidth'] = capthick
+        eb_cap_style['color'] = ecolor
+
+        def _apply_mask(arrays, mask):
+            # Return, for each array in *arrays*, the elements for which *mask*
+            # is True, without using fancy indexing.
+            return [[*itertools.compress(array, mask)] for array in arrays]
+
+        def _extract_errs(err, data, lomask, himask):
+            # For separate +/- error values we need to unpack err
+            if len(err.shape) == 2:
+                low_err, high_err = err
+            else:
+                low_err, high_err = err, err
+
+            lows = np.where(lomask | ~everymask, data, data - low_err)
+            highs = np.where(himask | ~everymask, data, data + high_err)
+
+            return lows, highs
+
+        # collect drawn items while looping over the three coordinates
+        errlines, caplines, limmarks = [], [], []
+
+        # list of endpoint coordinates, used for auto-scaling
+        coorderrs = []
+
+        # define the markers used for errorbar caps and limits below
+        # the dictionary key is mapped by the `i_xyz` helper dictionary
+        capmarker = {0: '|', 1: '|', 2: '_'}
+        i_xyz = {'x': 0, 'y': 1, 'z': 2}
+
+        # Calculate marker size from points to quiver length. Because these are
+        # not markers, and 3D Axes do not use the normal transform stack, this
+        # is a bit involved. Since the quiver arrows will change size as the
+        # scene is rotated, they are given a standard size based on viewing
+        # them directly in planar form.
+        quiversize = eb_cap_style.get('markersize',
+                                      mpl.rcParams['lines.markersize']) ** 2
+        quiversize *= self.get_figure(root=True).dpi / 72
+        quiversize = self.transAxes.inverted().transform([
+            (0, 0), (quiversize, quiversize)])
+        quiversize = np.mean(np.diff(quiversize, axis=0))
+        # quiversize is now in Axes coordinates, and to convert back to data
+        # coordinates, we need to run it through the inverse 3D transform. For
+        # consistency, this uses a fixed elevation, azimuth, and roll.
+        with cbook._setattr_cm(self, elev=0, azim=0, roll=0):
+            invM = np.linalg.inv(self.get_proj())
+        # elev=azim=roll=0 produces the Y-Z plane, so quiversize in 2D 'x' is
+        # 'y' in 3D, hence the 1 index.
+        quiversize = np.dot(invM, [quiversize, 0, 0, 0])[1]
+        # Quivers use a fixed 15-degree arrow head, so scale up the length so
+        # that the size corresponds to the base. In other words, this constant
+        # corresponds to the equation tan(15) = (base / 2) / (arrow length).
+        quiversize *= 1.8660254037844388
+        eb_quiver_style = {**eb_cap_style,
+                           'length': quiversize, 'arrow_length_ratio': 1}
+        eb_quiver_style.pop('markersize', None)
+
+        # loop over x-, y-, and z-direction and draw relevant elements
+        for zdir, data, err, lolims, uplims in zip(
+                ['x', 'y', 'z'], [x, y, z], [xerr, yerr, zerr],
+                [xlolims, ylolims, zlolims], [xuplims, yuplims, zuplims]):
+
+            dir_vector = art3d.get_dir_vector(zdir)
+            i_zdir = i_xyz[zdir]
+
+            if err is None:
+                continue
+
+            if not np.iterable(err):
+                err = [err] * len(data)
+
+            err = np.atleast_1d(err)
+
+            # arrays fine here, they are booleans and hence not units
+            lolims = np.broadcast_to(lolims, len(data)).astype(bool)
+            uplims = np.broadcast_to(uplims, len(data)).astype(bool)
+
+            # a nested list structure that expands to (xl,xh),(yl,yh),(zl,zh),
+            # where x/y/z and l/h correspond to dimensions and low/high
+            # positions of errorbars in a dimension we're looping over
+            coorderr = [
+                _extract_errs(err * dir_vector[i], coord, lolims, uplims)
+                for i, coord in enumerate([x, y, z])]
+            (xl, xh), (yl, yh), (zl, zh) = coorderr
+
+            # draws capmarkers - flat caps orthogonal to the error bars
+            nolims = ~(lolims | uplims)
+            if nolims.any() and capsize > 0:
+                lo_caps_xyz = _apply_mask([xl, yl, zl], nolims & everymask)
+                hi_caps_xyz = _apply_mask([xh, yh, zh], nolims & everymask)
+
+                # setting '_' for z-caps and '|' for x- and y-caps;
+                # these markers will rotate as the viewing angle changes
+                cap_lo = art3d.Line3D(*lo_caps_xyz, ls='',
+                                      marker=capmarker[i_zdir],
+                                      axlim_clip=axlim_clip,
+                                      **eb_cap_style)
+                cap_hi = art3d.Line3D(*hi_caps_xyz, ls='',
+                                      marker=capmarker[i_zdir],
+                                      axlim_clip=axlim_clip,
+                                      **eb_cap_style)
+                self.add_line(cap_lo)
+                self.add_line(cap_hi)
+                caplines.append(cap_lo)
+                caplines.append(cap_hi)
+
+            if lolims.any():
+                xh0, yh0, zh0 = _apply_mask([xh, yh, zh], lolims & everymask)
+                self.quiver(xh0, yh0, zh0, *dir_vector, **eb_quiver_style)
+            if uplims.any():
+                xl0, yl0, zl0 = _apply_mask([xl, yl, zl], uplims & everymask)
+                self.quiver(xl0, yl0, zl0, *-dir_vector, **eb_quiver_style)
+
+            errline = art3d.Line3DCollection(np.array(coorderr).T,
+                                             axlim_clip=axlim_clip,
+                                             **eb_lines_style)
+            self.add_collection(errline)
+            errlines.append(errline)
+            coorderrs.append(coorderr)
+
+        coorderrs = np.array(coorderrs)
+
+        def _digout_minmax(err_arr, coord_label):
+            return (np.nanmin(err_arr[:, i_xyz[coord_label], :, :]),
+                    np.nanmax(err_arr[:, i_xyz[coord_label], :, :]))
+
+        minx, maxx = _digout_minmax(coorderrs, 'x')
+        miny, maxy = _digout_minmax(coorderrs, 'y')
+        minz, maxz = _digout_minmax(coorderrs, 'z')
+        self.auto_scale_xyz((minx, maxx), (miny, maxy), (minz, maxz), had_data)
+
+        # Adapting errorbar containers for 3d case, assuming z-axis points "up"
+        errorbar_container = mcontainer.ErrorbarContainer(
+            (data_line, tuple(caplines), tuple(errlines)),
+            has_xerr=(xerr is not None or yerr is not None),
+            has_yerr=(zerr is not None),
+            label=label)
+        self.containers.append(errorbar_container)
+
+        return errlines, caplines, limmarks
+
+    def get_tightbbox(self, renderer=None, *, call_axes_locator=True,
+                      bbox_extra_artists=None, for_layout_only=False):
+        ret = super().get_tightbbox(renderer,
+                                    call_axes_locator=call_axes_locator,
+                                    bbox_extra_artists=bbox_extra_artists,
+                                    for_layout_only=for_layout_only)
+        batch = [ret]
+        if self._axis3don:
+            for axis in self._axis_map.values():
+                if axis.get_visible():
+                    axis_bb = martist._get_tightbbox_for_layout_only(
+                        axis, renderer)
+                    if axis_bb:
+                        batch.append(axis_bb)
+        return mtransforms.Bbox.union(batch)
+
+    @_preprocess_data()
+    def stem(self, x, y, z, *, linefmt='C0-', markerfmt='C0o', basefmt='C3-',
+             bottom=0, label=None, orientation='z', axlim_clip=False):
+        """
+        Create a 3D stem plot.
+
+        A stem plot draws lines perpendicular to a baseline, and places markers
+        at the heads. By default, the baseline is defined by *x* and *y*, and
+        stems are drawn vertically from *bottom* to *z*.
+
+        Parameters
+        ----------
+        x, y, z : array-like
+            The positions of the heads of the stems. The stems are drawn along
+            the *orientation*-direction from the baseline at *bottom* (in the
+            *orientation*-coordinate) to the heads. By default, the *x* and *y*
+            positions are used for the baseline and *z* for the head position,
+            but this can be changed by *orientation*.
+
+        linefmt : str, default: 'C0-'
+            A string defining the properties of the vertical lines. Usually,
+            this will be a color or a color and a linestyle:
+
+            =========  =============
+            Character  Line Style
+            =========  =============
+            ``'-'``    solid line
+            ``'--'``   dashed line
+            ``'-.'``   dash-dot line
+            ``':'``    dotted line
+            =========  =============
+
+            Note: While it is technically possible to specify valid formats
+            other than color or color and linestyle (e.g. 'rx' or '-.'), this
+            is beyond the intention of the method and will most likely not
+            result in a reasonable plot.
+
+        markerfmt : str, default: 'C0o'
+            A string defining the properties of the markers at the stem heads.
+
+        basefmt : str, default: 'C3-'
+            A format string defining the properties of the baseline.
+
+        bottom : float, default: 0
+            The position of the baseline, in *orientation*-coordinates.
+
+        label : str, optional
+            The label to use for the stems in legends.
+
+        orientation : {'x', 'y', 'z'}, default: 'z'
+            The direction along which stems are drawn.
+
+        axlim_clip : bool, default: False
+            Whether to hide stems that are outside the axes limits.
+
+            .. versionadded:: 3.10
+
+        data : indexable object, optional
+            DATA_PARAMETER_PLACEHOLDER
+
+        Returns
+        -------
+        `.StemContainer`
+            The container may be treated like a tuple
+            (*markerline*, *stemlines*, *baseline*)
+
+        Examples
+        --------
+        .. plot:: gallery/mplot3d/stem3d_demo.py
+        """
+
+        from matplotlib.container import StemContainer
 
-    from matplotlib.mlab import  bivariate_normal
+        had_data = self.has_data()
+
+        _api.check_in_list(['x', 'y', 'z'], orientation=orientation)
+
+        xlim = (np.min(x), np.max(x))
+        ylim = (np.min(y), np.max(y))
+        zlim = (np.min(z), np.max(z))
+
+        # Determine the appropriate plane for the baseline and the direction of
+        # stemlines based on the value of orientation.
+        if orientation == 'x':
+            basex, basexlim = y, ylim
+            basey, baseylim = z, zlim
+            lines = [[(bottom, thisy, thisz), (thisx, thisy, thisz)]
+                     for thisx, thisy, thisz in zip(x, y, z)]
+        elif orientation == 'y':
+            basex, basexlim = x, xlim
+            basey, baseylim = z, zlim
+            lines = [[(thisx, bottom, thisz), (thisx, thisy, thisz)]
+                     for thisx, thisy, thisz in zip(x, y, z)]
+        else:
+            basex, basexlim = x, xlim
+            basey, baseylim = y, ylim
+            lines = [[(thisx, thisy, bottom), (thisx, thisy, thisz)]
+                     for thisx, thisy, thisz in zip(x, y, z)]
+
+        # Determine style for stem lines.
+        linestyle, linemarker, linecolor = _process_plot_format(linefmt)
+        linestyle = mpl._val_or_rc(linestyle, 'lines.linestyle')
+
+        # Plot everything in required order.
+        baseline, = self.plot(basex, basey, basefmt, zs=bottom,
+                              zdir=orientation, label='_nolegend_')
+        stemlines = art3d.Line3DCollection(
+            lines, linestyles=linestyle, colors=linecolor, label='_nolegend_',
+            axlim_clip=axlim_clip)
+        self.add_collection(stemlines)
+        markerline, = self.plot(x, y, z, markerfmt, label='_nolegend_')
+
+        stem_container = StemContainer((markerline, stemlines, baseline),
+                                       label=label)
+        self.add_container(stem_container)
+
+        jx, jy, jz = art3d.juggle_axes(basexlim, baseylim, [bottom, bottom],
+                                       orientation)
+        self.auto_scale_xyz([*jx, *xlim], [*jy, *ylim], [*jz, *zlim], had_data)
+
+        return stem_container
+
+    stem3D = stem
+
+
+def get_test_data(delta=0.05):
+    """Return a tuple X, Y, Z with a test data set."""
     x = y = np.arange(-3.0, 3.0, delta)
     X, Y = np.meshgrid(x, y)
 
-    Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
-    Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
+    Z1 = np.exp(-(X**2 + Y**2) / 2) / (2 * np.pi)
+    Z2 = (np.exp(-(((X - 1) / 1.5)**2 + ((Y - 1) / 0.5)**2) / 2) /
+          (2 * np.pi * 0.5 * 1.5))
     Z = Z2 - Z1
 
     X = X * 10
@@ -2611,10 +4079,122 @@ def get_test_data(delta=0.05):
     return X, Y, Z
 
 
+class _Quaternion:
+    """
+    Quaternions
+    consisting of scalar, along 1, and vector, with components along i, j, k
+    """
+
+    def __init__(self, scalar, vector):
+        self.scalar = scalar
+        self.vector = np.array(vector)
 
-########################################################
-# Register Axes3D as a 'projection' object available
-# for use just like any other axes
-########################################################
-import matplotlib.projections as proj
-proj.projection_registry.register(Axes3D)
+    def __neg__(self):
+        return self.__class__(-self.scalar, -self.vector)
+
+    def __mul__(self, other):
+        """
+        Product of two quaternions
+        i*i = j*j = k*k = i*j*k = -1
+        Quaternion multiplication can be expressed concisely
+        using scalar and vector parts,
+        see <https://en.wikipedia.org/wiki/Quaternion#Scalar_and_vector_parts>
+        """
+        return self.__class__(
+            self.scalar*other.scalar - np.dot(self.vector, other.vector),
+            self.scalar*other.vector + self.vector*other.scalar
+            + np.cross(self.vector, other.vector))
+
+    def conjugate(self):
+        """The conjugate quaternion -(1/2)*(q+i*q*i+j*q*j+k*q*k)"""
+        return self.__class__(self.scalar, -self.vector)
+
+    @property
+    def norm(self):
+        """The 2-norm, q*q', a scalar"""
+        return self.scalar*self.scalar + np.dot(self.vector, self.vector)
+
+    def normalize(self):
+        """Scaling such that norm equals 1"""
+        n = np.sqrt(self.norm)
+        return self.__class__(self.scalar/n, self.vector/n)
+
+    def reciprocal(self):
+        """The reciprocal, 1/q = q'/(q*q') = q' / norm(q)"""
+        n = self.norm
+        return self.__class__(self.scalar/n, -self.vector/n)
+
+    def __div__(self, other):
+        return self*other.reciprocal()
+
+    __truediv__ = __div__
+
+    def rotate(self, v):
+        # Rotate the vector v by the quaternion q, i.e.,
+        # calculate (the vector part of) q*v/q
+        v = self.__class__(0, v)
+        v = self*v/self
+        return v.vector
+
+    def __eq__(self, other):
+        return (self.scalar == other.scalar) and (self.vector == other.vector).all
+
+    def __repr__(self):
+        return "_Quaternion({}, {})".format(repr(self.scalar), repr(self.vector))
+
+    @classmethod
+    def rotate_from_to(cls, r1, r2):
+        """
+        The quaternion for the shortest rotation from vector r1 to vector r2
+        i.e., q = sqrt(r2*r1'), normalized.
+        If r1 and r2 are antiparallel, then the result is ambiguous;
+        a normal vector will be returned, and a warning will be issued.
+        """
+        k = np.cross(r1, r2)
+        nk = np.linalg.norm(k)
+        th = np.arctan2(nk, np.dot(r1, r2))
+        th /= 2
+        if nk == 0:  # r1 and r2 are parallel or anti-parallel
+            if np.dot(r1, r2) < 0:
+                warnings.warn("Rotation defined by anti-parallel vectors is ambiguous")
+                k = np.zeros(3)
+                k[np.argmin(r1*r1)] = 1  # basis vector most perpendicular to r1-r2
+                k = np.cross(r1, k)
+                k = k / np.linalg.norm(k)  # unit vector normal to r1-r2
+                q = cls(0, k)
+            else:
+                q = cls(1, [0, 0, 0])  # = 1, no rotation
+        else:
+            q = cls(np.cos(th), k*np.sin(th)/nk)
+        return q
+
+    @classmethod
+    def from_cardan_angles(cls, elev, azim, roll):
+        """
+        Converts the angles to a quaternion
+            q = exp((roll/2)*e_x)*exp((elev/2)*e_y)*exp((-azim/2)*e_z)
+        i.e., the angles are a kind of Tait-Bryan angles, -z,y',x".
+        The angles should be given in radians, not degrees.
+        """
+        ca, sa = np.cos(azim/2), np.sin(azim/2)
+        ce, se = np.cos(elev/2), np.sin(elev/2)
+        cr, sr = np.cos(roll/2), np.sin(roll/2)
+
+        qw = ca*ce*cr + sa*se*sr
+        qx = ca*ce*sr - sa*se*cr
+        qy = ca*se*cr + sa*ce*sr
+        qz = ca*se*sr - sa*ce*cr
+        return cls(qw, [qx, qy, qz])
+
+    def as_cardan_angles(self):
+        """
+        The inverse of `from_cardan_angles()`.
+        Note that the angles returned are in radians, not degrees.
+        The angles are not sensitive to the quaternion's norm().
+        """
+        qw = self.scalar
+        qx, qy, qz = self.vector[..., :]
+        azim = np.arctan2(2*(-qw*qz+qx*qy), qw*qw+qx*qx-qy*qy-qz*qz)
+        elev = np.arcsin(np.clip(2*(qw*qy+qz*qx)/(qw*qw+qx*qx+qy*qy+qz*qz), -1, 1))
+        roll = np.arctan2(2*(qw*qx-qy*qz), qw*qw-qx*qx-qy*qy+qz*qz)
+        return elev, azim, roll
diff --git a/lib/mpl_toolkits/mplot3d/axis3d.py b/lib/mpl_toolkits/mplot3d/axis3d.py
old mode 100755
new mode 100644
index 12516fc715ff..4da5031b990c
--- a/lib/mpl_toolkits/mplot3d/axis3d.py
+++ b/lib/mpl_toolkits/mplot3d/axis3d.py
@@ -1,121 +1,164 @@
-#!/usr/bin/python
 # axis3d.py, original mplot3d version by John Porter
 # Created: 23 Sep 2005
 # Parts rewritten by Reinier Heeres <reinier@heeres.eu>
 
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
+import inspect
 
-import six
-
-import math
-import copy
+import numpy as np
 
-from matplotlib import lines as mlines, axis as maxis, \
-        patches as mpatches
-from . import art3d
-from . import proj3d
+import matplotlib as mpl
+from matplotlib import (
+    _api, artist, lines as mlines, axis as maxis, patches as mpatches,
+    transforms as mtransforms, colors as mcolors)
+from . import art3d, proj3d
 
-import numpy as np
 
-def get_flip_min_max(coord, index, mins, maxs):
-    if coord[index] == mins[index]:
-        return maxs[index]
-    else:
-        return mins[index]
-
-def move_from_center(coord, centers, deltas, axmask=(True, True, True)):
-    '''Return a coordinate that is moved by "deltas" away from the center.'''
-    coord = copy.copy(coord)
-    #print coord, centers, deltas, axmask
-    for i in range(3):
-        if not axmask[i]:
-            continue
-        if coord[i] < centers[i]:
-            coord[i] -= deltas[i]
-        else:
-            coord[i] += deltas[i]
-    return coord
+def _move_from_center(coord, centers, deltas, axmask=(True, True, True)):
+    """
+    For each coordinate where *axmask* is True, move *coord* away from
+    *centers* by *deltas*.
+    """
+    coord = np.asarray(coord)
+    return coord + axmask * np.copysign(1, coord - centers) * deltas
 
-def tick_update_position(tick, tickxs, tickys, labelpos):
-    '''Update tick line and label position and style.'''
 
-    for (label, on) in ((tick.label1, tick.label1On), \
-            (tick.label2, tick.label2On)):
-        if on:
-            label.set_position(labelpos)
+def _tick_update_position(tick, tickxs, tickys, labelpos):
+    """Update tick line and label position and style."""
 
-    tick.tick1On, tick.tick2On = True, False
+    tick.label1.set_position(labelpos)
+    tick.label2.set_position(labelpos)
+    tick.tick1line.set_visible(True)
+    tick.tick2line.set_visible(False)
     tick.tick1line.set_linestyle('-')
     tick.tick1line.set_marker('')
     tick.tick1line.set_data(tickxs, tickys)
-    tick.gridline.set_data(0, 0)
+    tick.gridline.set_data([0], [0])
 
-class Axis(maxis.XAxis):
 
+class Axis(maxis.XAxis):
+    """An Axis class for the 3D plots."""
     # These points from the unit cube make up the x, y and z-planes
     _PLANES = (
-        (0, 3, 7, 4), (1, 2, 6, 5),     # yz planes
-        (0, 1, 5, 4), (3, 2, 6, 7),     # xz planes
-        (0, 1, 2, 3), (4, 5, 6, 7),     # xy planes
+        (0, 3, 7, 4), (1, 2, 6, 5),  # yz planes
+        (0, 1, 5, 4), (3, 2, 6, 7),  # xz planes
+        (0, 1, 2, 3), (4, 5, 6, 7),  # xy planes
     )
 
     # Some properties for the axes
     _AXINFO = {
-        'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2),
-            'color': (0.95, 0.95, 0.95, 0.5)},
-        'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2),
-            'color': (0.90, 0.90, 0.90, 0.5)},
-        'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1),
-            'color': (0.925, 0.925, 0.925, 0.5)},
+        'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2)},
+        'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2)},
+        'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1)},
     }
 
-    def __init__(self, adir, v_intervalx, d_intervalx, axes, *args, **kwargs):
-        # adir identifies which axes this is
-        self.adir = adir
-        # data and viewing intervals for this direction
-        self.d_interval = d_intervalx
-        self.v_interval = v_intervalx
+    def _old_init(self, adir, v_intervalx, d_intervalx, axes, *args,
+                  rotate_label=None, **kwargs):
+        return locals()
+
+    def _new_init(self, axes, *, rotate_label=None, **kwargs):
+        return locals()
+
+    def __init__(self, *args, **kwargs):
+        params = _api.select_matching_signature(
+            [self._old_init, self._new_init], *args, **kwargs)
+        if "adir" in params:
+            _api.warn_deprecated(
+                "3.6", message=f"The signature of 3D Axis constructors has "
+                f"changed in %(since)s; the new signature is "
+                f"{inspect.signature(type(self).__init__)}", pending=True)
+            if params["adir"] != self.axis_name:
+                raise ValueError(f"Cannot instantiate {type(self).__name__} "
+                                 f"with adir={params['adir']!r}")
+        axes = params["axes"]
+        rotate_label = params["rotate_label"]
+        args = params.get("args", ())
+        kwargs = params["kwargs"]
+
+        name = self.axis_name
+
+        self._label_position = 'default'
+        self._tick_position = 'default'
 
         # This is a temporary member variable.
         # Do not depend on this existing in future releases!
-        self._axinfo = self._AXINFO[adir].copy()
-        self._axinfo.update({'label' : {'space_factor': 1.6,
-                                        'va': 'center',
-                                        'ha': 'center'},
-                             'tick' : {'inward_factor': 0.2,
-                                       'outward_factor': 0.1},
-                             'ticklabel': {'space_factor': 0.7},
-                             'axisline': {'linewidth': 0.75,
-                                          'color': (0, 0, 0, 1)},
-                             'grid' : {'color': (0.9, 0.9, 0.9, 1),
-                                       'linewidth': 1.0},
-                            })
-
-
-        maxis.XAxis.__init__(self, axes, *args, **kwargs)
-
-        self.set_rotate_label(kwargs.get('rotate_label', None))
-
+        self._axinfo = self._AXINFO[name].copy()
+        # Common parts
+        self._axinfo.update({
+            'label': {'va': 'center', 'ha': 'center',
+                      'rotation_mode': 'anchor'},
+            'color': mpl.rcParams[f'axes3d.{name}axis.panecolor'],
+            'tick': {
+                'inward_factor': 0.2,
+                'outward_factor': 0.1,
+            },
+        })
+
+        if mpl.rcParams['_internal.classic_mode']:
+            self._axinfo.update({
+                'axisline': {'linewidth': 0.75, 'color': (0, 0, 0, 1)},
+                'grid': {
+                    'color': (0.9, 0.9, 0.9, 1),
+                    'linewidth': 1.0,
+                    'linestyle': '-',
+                },
+            })
+            self._axinfo['tick'].update({
+                'linewidth': {
+                    True: mpl.rcParams['lines.linewidth'],  # major
+                    False: mpl.rcParams['lines.linewidth'],  # minor
+                }
+            })
+        else:
+            self._axinfo.update({
+                'axisline': {
+                    'linewidth': mpl.rcParams['axes.linewidth'],
+                    'color': mpl.rcParams['axes.edgecolor'],
+                },
+                'grid': {
+                    'color': mpl.rcParams['grid.color'],
+                    'linewidth': mpl.rcParams['grid.linewidth'],
+                    'linestyle': mpl.rcParams['grid.linestyle'],
+                },
+            })
+            self._axinfo['tick'].update({
+                'linewidth': {
+                    True: (  # major
+                        mpl.rcParams['xtick.major.width'] if name in 'xz'
+                        else mpl.rcParams['ytick.major.width']),
+                    False: (  # minor
+                        mpl.rcParams['xtick.minor.width'] if name in 'xz'
+                        else mpl.rcParams['ytick.minor.width']),
+                }
+            })
+
+        super().__init__(axes, *args, **kwargs)
 
-    def init3d(self):
-        self.line = mlines.Line2D(xdata=(0, 0), ydata=(0, 0),
-                            linewidth=self._axinfo['axisline']['linewidth'],
-                            color=self._axinfo['axisline']['color'],
-                            antialiased=True,
-                           )
+        # data and viewing intervals for this direction
+        if "d_intervalx" in params:
+            self.set_data_interval(*params["d_intervalx"])
+        if "v_intervalx" in params:
+            self.set_view_interval(*params["v_intervalx"])
+        self.set_rotate_label(rotate_label)
+        self._init3d()  # Inline after init3d deprecation elapses.
+
+    __init__.__signature__ = inspect.signature(_new_init)
+    adir = _api.deprecated("3.6", pending=True)(
+        property(lambda self: self.axis_name))
+
+    def _init3d(self):
+        self.line = mlines.Line2D(
+            xdata=(0, 0), ydata=(0, 0),
+            linewidth=self._axinfo['axisline']['linewidth'],
+            color=self._axinfo['axisline']['color'],
+            antialiased=True)
 
         # Store dummy data in Polygon object
-        self.pane = mpatches.Polygon(np.array([[0,0], [0,1], [1,0], [0,0]]),
-                                    closed=False,
-                                    alpha=0.8,
-                                    facecolor=(1,1,1,0),
-                                    edgecolor=(1,1,1,0))
+        self.pane = mpatches.Polygon([[0, 0], [0, 1]], closed=False)
         self.set_pane_color(self._axinfo['color'])
 
         self.axes._set_artist_props(self.line)
         self.axes._set_artist_props(self.pane)
-        self.gridlines = art3d.Line3DCollection([], )
+        self.gridlines = art3d.Line3DCollection([])
         self.axes._set_artist_props(self.gridlines)
         self.axes._set_artist_props(self.label)
         self.axes._set_artist_props(self.offsetText)
@@ -123,40 +166,99 @@ def init3d(self):
         self.label._transform = self.axes.transData
         self.offsetText._transform = self.axes.transData
 
-    def get_tick_positions(self):
-        majorLocs = self.major.locator()
-        self.major.formatter.set_locs(majorLocs)
-        majorLabels = [self.major.formatter(val, i) for i, val in enumerate(majorLocs)]
-        return majorLabels, majorLocs
+    @_api.deprecated("3.6", pending=True)
+    def init3d(self):  # After deprecation elapses, inline _init3d to __init__.
+        self._init3d()
 
     def get_major_ticks(self, numticks=None):
-        ticks = maxis.XAxis.get_major_ticks(self, numticks)
+        ticks = super().get_major_ticks(numticks)
         for t in ticks:
-            t.tick1line.set_transform(self.axes.transData)
-            t.tick2line.set_transform(self.axes.transData)
-            t.gridline.set_transform(self.axes.transData)
-            t.label1.set_transform(self.axes.transData)
-            t.label2.set_transform(self.axes.transData)
+            for obj in [
+                    t.tick1line, t.tick2line, t.gridline, t.label1, t.label2]:
+                obj.set_transform(self.axes.transData)
         return ticks
 
-    def set_pane_pos(self, xys):
-        xys = np.asarray(xys)
-        xys = xys[:,:2]
-        self.pane.xy = xys
+    def get_minor_ticks(self, numticks=None):
+        ticks = super().get_minor_ticks(numticks)
+        for t in ticks:
+            for obj in [
+                    t.tick1line, t.tick2line, t.gridline, t.label1, t.label2]:
+                obj.set_transform(self.axes.transData)
+        return ticks
 
-    def set_pane_color(self, color):
-        '''Set pane color to a RGBA tuple'''
+    def set_ticks_position(self, position):
+        """
+        Set the ticks position.
+
+        Parameters
+        ----------
+        position : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the bolded axis lines, ticks, and tick labels.
+        """
+        _api.check_in_list(['lower', 'upper', 'both', 'default', 'none'],
+                           position=position)
+        self._tick_position = position
+
+    def get_ticks_position(self):
+        """
+        Get the ticks position.
+
+        Returns
+        -------
+        str : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the bolded axis lines, ticks, and tick labels.
+        """
+        return self._tick_position
+
+    def set_label_position(self, position):
+        """
+        Set the label position.
+
+        Parameters
+        ----------
+        position : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the axis label.
+        """
+        _api.check_in_list(['lower', 'upper', 'both', 'default', 'none'],
+                           position=position)
+        self._label_position = position
+
+    def get_label_position(self):
+        """
+        Get the label position.
+
+        Returns
+        -------
+        str : {'lower', 'upper', 'both', 'default', 'none'}
+            The position of the axis label.
+        """
+        return self._label_position
+
+    def set_pane_color(self, color, alpha=None):
+        """
+        Set pane color.
+
+        Parameters
+        ----------
+        color : :mpltype:`color`
+            Color for axis pane.
+        alpha : float, optional
+            Alpha value for axis pane. If None, base it on *color*.
+        """
+        color = mcolors.to_rgba(color, alpha)
         self._axinfo['color'] = color
         self.pane.set_edgecolor(color)
         self.pane.set_facecolor(color)
         self.pane.set_alpha(color[-1])
+        self.stale = True
 
     def set_rotate_label(self, val):
-        '''
+        """
         Whether to rotate the axis label: True, False or None.
         If set to None the label will be rotated if longer than 4 chars.
-        '''
+        """
         self._rotate_label = val
+        self.stale = True
 
     def get_rotate_label(self, text):
         if self._rotate_label is not None:
@@ -164,182 +266,281 @@ def get_rotate_label(self, text):
         else:
             return len(text) > 4
 
-    def _get_coord_info(self, renderer):
-        minx, maxx, miny, maxy, minz, maxz = self.axes.get_w_lims()
-        if minx > maxx:
-            minx, maxx = maxx, minx
-        if miny > maxy:
-            miny, maxy = maxy, miny
-        if minz > maxz:
-            minz, maxz = maxz, minz
-        mins = np.array((minx, miny, minz))
-        maxs = np.array((maxx, maxy, maxz))
-        centers = (maxs + mins) / 2.
-        deltas = (maxs - mins) / 12.
-        mins = mins - deltas / 4.
-        maxs = maxs + deltas / 4.
-
-        vals = mins[0], maxs[0], mins[1], maxs[1], mins[2], maxs[2]
-        tc = self.axes.tunit_cube(vals, renderer.M)
-        avgz = [tc[p1][2] + tc[p2][2] + tc[p3][2] + tc[p4][2] for \
-                p1, p2, p3, p4 in self._PLANES]
-        highs = np.array([avgz[2*i] < avgz[2*i+1] for i in range(3)])
-
-        return mins, maxs, centers, deltas, tc, highs
-
-    def draw_pane(self, renderer):
-        renderer.open_group('pane3d')
-
-        mins, maxs, centers, deltas, tc, highs = self._get_coord_info(renderer)
-
+    def _get_coord_info(self):
+        mins, maxs = np.array([
+            self.axes.get_xbound(),
+            self.axes.get_ybound(),
+            self.axes.get_zbound(),
+        ]).T
+
+        # Project the bounds along the current position of the cube:
+        bounds = mins[0], maxs[0], mins[1], maxs[1], mins[2], maxs[2]
+        bounds_proj = self.axes._transformed_cube(bounds)
+
+        # Determine which one of the parallel planes are higher up:
+        means_z0 = np.zeros(3)
+        means_z1 = np.zeros(3)
+        for i in range(3):
+            means_z0[i] = np.mean(bounds_proj[self._PLANES[2 * i], 2])
+            means_z1[i] = np.mean(bounds_proj[self._PLANES[2 * i + 1], 2])
+        highs = means_z0 < means_z1
+
+        # Special handling for edge-on views
+        equals = np.abs(means_z0 - means_z1) <= np.finfo(float).eps
+        if np.sum(equals) == 2:
+            vertical = np.where(~equals)[0][0]
+            if vertical == 2:  # looking at XY plane
+                highs = np.array([True, True, highs[2]])
+            elif vertical == 1:  # looking at XZ plane
+                highs = np.array([True, highs[1], False])
+            elif vertical == 0:  # looking at YZ plane
+                highs = np.array([highs[0], False, False])
+
+        return mins, maxs, bounds_proj, highs
+
+    def _calc_centers_deltas(self, maxs, mins):
+        centers = 0.5 * (maxs + mins)
+        # In mpl3.8, the scale factor was 1/12. mpl3.9 changes this to
+        # 1/12 * 24/25 = 0.08 to compensate for the change in automargin
+        # behavior and keep appearance the same. The 24/25 factor is from the
+        # 1/48 padding added to each side of the axis in mpl3.8.
+        scale = 0.08
+        deltas = (maxs - mins) * scale
+        return centers, deltas
+
+    def _get_axis_line_edge_points(self, minmax, maxmin, position=None):
+        """Get the edge points for the black bolded axis line."""
+        # When changing vertical axis some of the axes has to be
+        # moved to the other plane so it looks the same as if the z-axis
+        # was the vertical axis.
+        mb = [minmax, maxmin]  # line from origin to nearest corner to camera
+        mb_rev = mb[::-1]
+        mm = [[mb, mb_rev, mb_rev], [mb_rev, mb_rev, mb], [mb, mb, mb]]
+        mm = mm[self.axes._vertical_axis][self._axinfo["i"]]
+
+        juggled = self._axinfo["juggled"]
+        edge_point_0 = mm[0].copy()  # origin point
+
+        if ((position == 'lower' and mm[1][juggled[-1]] < mm[0][juggled[-1]]) or
+                (position == 'upper' and mm[1][juggled[-1]] > mm[0][juggled[-1]])):
+            edge_point_0[juggled[-1]] = mm[1][juggled[-1]]
+        else:
+            edge_point_0[juggled[0]] = mm[1][juggled[0]]
+
+        edge_point_1 = edge_point_0.copy()
+        edge_point_1[juggled[1]] = mm[1][juggled[1]]
+
+        return edge_point_0, edge_point_1
+
+    def _get_all_axis_line_edge_points(self, minmax, maxmin, axis_position=None):
+        # Determine edge points for the axis lines
+        edgep1s = []
+        edgep2s = []
+        position = []
+        if axis_position in (None, 'default'):
+            edgep1, edgep2 = self._get_axis_line_edge_points(minmax, maxmin)
+            edgep1s = [edgep1]
+            edgep2s = [edgep2]
+            position = ['default']
+        else:
+            edgep1_l, edgep2_l = self._get_axis_line_edge_points(minmax, maxmin,
+                                                                 position='lower')
+            edgep1_u, edgep2_u = self._get_axis_line_edge_points(minmax, maxmin,
+                                                                 position='upper')
+            if axis_position in ('lower', 'both'):
+                edgep1s.append(edgep1_l)
+                edgep2s.append(edgep2_l)
+                position.append('lower')
+            if axis_position in ('upper', 'both'):
+                edgep1s.append(edgep1_u)
+                edgep2s.append(edgep2_u)
+                position.append('upper')
+        return edgep1s, edgep2s, position
+
+    def _get_tickdir(self, position):
+        """
+        Get the direction of the tick.
+
+        Parameters
+        ----------
+        position : str, optional : {'upper', 'lower', 'default'}
+            The position of the axis.
+
+        Returns
+        -------
+        tickdir : int
+            Index which indicates which coordinate the tick line will
+            align with.
+        """
+        _api.check_in_list(('upper', 'lower', 'default'), position=position)
+
+        # TODO: Move somewhere else where it's triggered less:
+        tickdirs_base = [v["tickdir"] for v in self._AXINFO.values()]  # default
+        elev_mod = np.mod(self.axes.elev + 180, 360) - 180
+        azim_mod = np.mod(self.axes.azim, 360)
+        if position == 'upper':
+            if elev_mod >= 0:
+                tickdirs_base = [2, 2, 0]
+            else:
+                tickdirs_base = [1, 0, 0]
+            if 0 <= azim_mod < 180:
+                tickdirs_base[2] = 1
+        elif position == 'lower':
+            if elev_mod >= 0:
+                tickdirs_base = [1, 0, 1]
+            else:
+                tickdirs_base = [2, 2, 1]
+            if 0 <= azim_mod < 180:
+                tickdirs_base[2] = 0
+        info_i = [v["i"] for v in self._AXINFO.values()]
+
+        i = self._axinfo["i"]
+        vert_ax = self.axes._vertical_axis
+        j = vert_ax - 2
+        # default: tickdir = [[1, 2, 1], [2, 2, 0], [1, 0, 0]][vert_ax][i]
+        tickdir = np.roll(info_i, -j)[np.roll(tickdirs_base, j)][i]
+        return tickdir
+
+    def active_pane(self):
+        mins, maxs, tc, highs = self._get_coord_info()
         info = self._axinfo
         index = info['i']
         if not highs[index]:
+            loc = mins[index]
             plane = self._PLANES[2 * index]
         else:
+            loc = maxs[index]
             plane = self._PLANES[2 * index + 1]
-        xys = [tc[p] for p in plane]
-        self.set_pane_pos(xys)
-        self.pane.draw(renderer)
+        xys = np.array([tc[p] for p in plane])
+        return xys, loc
 
+    def draw_pane(self, renderer):
+        """
+        Draw pane.
+
+        Parameters
+        ----------
+        renderer : `~matplotlib.backend_bases.RendererBase` subclass
+        """
+        renderer.open_group('pane3d', gid=self.get_gid())
+        xys, loc = self.active_pane()
+        self.pane.xy = xys[:, :2]
+        self.pane.draw(renderer)
         renderer.close_group('pane3d')
 
-    def draw(self, renderer):
-        self.label._transform = self.axes.transData
-        renderer.open_group('axis3d')
-
-        # code from XAxis
-        majorTicks = self.get_major_ticks()
-        majorLocs = self.major.locator()
+    def _axmask(self):
+        axmask = [True, True, True]
+        axmask[self._axinfo["i"]] = False
+        return axmask
 
+    def _draw_ticks(self, renderer, edgep1, centers, deltas, highs,
+                    deltas_per_point, pos):
+        ticks = self._update_ticks()
         info = self._axinfo
-        index = info['i']
+        index = info["i"]
+        juggled = info["juggled"]
+
+        mins, maxs, tc, highs = self._get_coord_info()
+        centers, deltas = self._calc_centers_deltas(maxs, mins)
+
+        # Draw ticks:
+        tickdir = self._get_tickdir(pos)
+        tickdelta = deltas[tickdir] if highs[tickdir] else -deltas[tickdir]
+
+        tick_info = info['tick']
+        tick_out = tick_info['outward_factor'] * tickdelta
+        tick_in = tick_info['inward_factor'] * tickdelta
+        tick_lw = tick_info['linewidth']
+        edgep1_tickdir = edgep1[tickdir]
+        out_tickdir = edgep1_tickdir + tick_out
+        in_tickdir = edgep1_tickdir - tick_in
+
+        default_label_offset = 8.  # A rough estimate
+        points = deltas_per_point * deltas
+        for tick in ticks:
+            # Get tick line positions
+            pos = edgep1.copy()
+            pos[index] = tick.get_loc()
+            pos[tickdir] = out_tickdir
+            x1, y1, z1 = proj3d.proj_transform(*pos, self.axes.M)
+            pos[tickdir] = in_tickdir
+            x2, y2, z2 = proj3d.proj_transform(*pos, self.axes.M)
 
-        # filter locations here so that no extra grid lines are drawn
-        locmin, locmax = self.get_view_interval()
-        if locmin > locmax:
-            locmin, locmax = locmax, locmin
-
-        # Rudimentary clipping
-        majorLocs = [loc for loc in majorLocs if
-                     locmin <= loc <= locmax]
-        self.major.formatter.set_locs(majorLocs)
-        majorLabels = [self.major.formatter(val, i)
-                       for i, val in enumerate(majorLocs)]
-
-        mins, maxs, centers, deltas, tc, highs = self._get_coord_info(renderer)
-
-        # Determine grid lines
-        minmax = np.where(highs, maxs, mins)
-
-        # Draw main axis line
-        juggled = info['juggled']
-        edgep1 = minmax.copy()
-        edgep1[juggled[0]] = get_flip_min_max(edgep1, juggled[0], mins, maxs)
-
-        edgep2 = edgep1.copy()
-        edgep2[juggled[1]] = get_flip_min_max(edgep2, juggled[1], mins, maxs)
-        pep = proj3d.proj_trans_points([edgep1, edgep2], renderer.M)
-        centpt = proj3d.proj_transform(centers[0], centers[1], centers[2], renderer.M)
-        self.line.set_data((pep[0][0], pep[0][1]), (pep[1][0], pep[1][1]))
-        self.line.draw(renderer)
-
-        # Grid points where the planes meet
-        xyz0 = []
-        for val in majorLocs:
-            coord = minmax.copy()
-            coord[index] = val
-            xyz0.append(coord)
+            # Get position of label
+            labeldeltas = (tick.get_pad() + default_label_offset) * points
 
-        # Draw labels
-        peparray = np.asanyarray(pep)
-        # The transAxes transform is used because the Text object
-        # rotates the text relative to the display coordinate system.
-        # Therefore, if we want the labels to remain parallel to the
-        # axis regardless of the aspect ratio, we need to convert the
-        # edge points of the plane to display coordinates and calculate
-        # an angle from that.
-        # TODO: Maybe Text objects should handle this themselves?
-        dx, dy = (self.axes.transAxes.transform([peparray[0:2, 1]]) -
-                  self.axes.transAxes.transform([peparray[0:2, 0]]))[0]
-
-        lxyz = 0.5*(edgep1 + edgep2)
-
-        labeldeltas = info['label']['space_factor'] * deltas
-        axmask = [True, True, True]
-        axmask[index] = False
-        lxyz = move_from_center(lxyz, centers, labeldeltas, axmask)
-        tlx, tly, tlz = proj3d.proj_transform(lxyz[0], lxyz[1], lxyz[2], \
-                renderer.M)
-        self.label.set_position((tlx, tly))
-        if self.get_rotate_label(self.label.get_text()):
-            angle = art3d.norm_text_angle(math.degrees(math.atan2(dy, dx)))
-            self.label.set_rotation(angle)
-        self.label.set_va(info['label']['va'])
-        self.label.set_ha(info['label']['ha'])
-        self.label.draw(renderer)
+            pos[tickdir] = edgep1_tickdir
+            pos = _move_from_center(pos, centers, labeldeltas, self._axmask())
+            lx, ly, lz = proj3d.proj_transform(*pos, self.axes.M)
 
+            _tick_update_position(tick, (x1, x2), (y1, y2), (lx, ly))
+            tick.tick1line.set_linewidth(tick_lw[tick._major])
+            tick.draw(renderer)
 
-        # Draw Offset text
+    def _draw_offset_text(self, renderer, edgep1, edgep2, labeldeltas, centers,
+                          highs, pep, dx, dy):
+        # Get general axis information:
+        info = self._axinfo
+        index = info["i"]
+        juggled = info["juggled"]
+        tickdir = info["tickdir"]
 
         # Which of the two edge points do we want to
         # use for locating the offset text?
-        if juggled[2] == 2 :
+        if juggled[2] == 2:
             outeredgep = edgep1
             outerindex = 0
-        else :
+        else:
             outeredgep = edgep2
             outerindex = 1
 
-        pos = copy.copy(outeredgep)
-        pos = move_from_center(pos, centers, labeldeltas, axmask)
-        olx, oly, olz = proj3d.proj_transform(pos[0], pos[1], pos[2], renderer.M)
-        self.offsetText.set_text( self.major.formatter.get_offset() )
-        self.offsetText.set_position( (olx, oly) )
-        angle = art3d.norm_text_angle(math.degrees(math.atan2(dy, dx)))
+        pos = _move_from_center(outeredgep, centers, labeldeltas,
+                                self._axmask())
+        olx, oly, olz = proj3d.proj_transform(*pos, self.axes.M)
+        self.offsetText.set_text(self.major.formatter.get_offset())
+        self.offsetText.set_position((olx, oly))
+        angle = art3d._norm_text_angle(np.rad2deg(np.arctan2(dy, dx)))
         self.offsetText.set_rotation(angle)
         # Must set rotation mode to "anchor" so that
         # the alignment point is used as the "fulcrum" for rotation.
         self.offsetText.set_rotation_mode('anchor')
 
-        #-----------------------------------------------------------------------
+        # ----------------------------------------------------------------------
         # Note: the following statement for determining the proper alignment of
-        #       the offset text. This was determined entirely by trial-and-error
-        #       and should not be in any way considered as "the way".  There are
-        #       still some edge cases where alignment is not quite right, but
-        #       this seems to be more of a geometry issue (in other words, I
-        #       might be using the wrong reference points).
+        # the offset text. This was determined entirely by trial-and-error
+        # and should not be in any way considered as "the way".  There are
+        # still some edge cases where alignment is not quite right, but this
+        # seems to be more of a geometry issue (in other words, I might be
+        # using the wrong reference points).
         #
-        #   (TT, FF, TF, FT) are the shorthand for the tuple of
-        #     (centpt[info['tickdir']] <= peparray[info['tickdir'], outerindex],
-        #      centpt[index] <= peparray[index, outerindex])
+        # (TT, FF, TF, FT) are the shorthand for the tuple of
+        #   (centpt[tickdir] <= pep[tickdir, outerindex],
+        #    centpt[index] <= pep[index, outerindex])
         #
-        #   Three-letters (e.g., TFT, FTT) are short-hand for the array
-        #    of bools from the variable 'highs'.
+        # Three-letters (e.g., TFT, FTT) are short-hand for the array of bools
+        # from the variable 'highs'.
         # ---------------------------------------------------------------------
-        if centpt[info['tickdir']] > peparray[info['tickdir'], outerindex] :
+        centpt = proj3d.proj_transform(*centers, self.axes.M)
+        if centpt[tickdir] > pep[tickdir, outerindex]:
             # if FT and if highs has an even number of Trues
-            if (centpt[index] <= peparray[index, outerindex]
-                and ((len(highs.nonzero()[0]) % 2) == 0)) :
+            if (centpt[index] <= pep[index, outerindex]
+                    and np.count_nonzero(highs) % 2 == 0):
                 # Usually, this means align right, except for the FTT case,
                 # in which offset for axis 1 and 2 are aligned left.
-                if highs.tolist() == [False, True, True] and index in (1, 2) :
+                if highs.tolist() == [False, True, True] and index in (1, 2):
                     align = 'left'
-                else :
+                else:
                     align = 'right'
-            else :
+            else:
                 # The FF case
                 align = 'left'
-        else :
+        else:
             # if TF and if highs has an even number of Trues
-            if (centpt[index] > peparray[index, outerindex]
-                and ((len(highs.nonzero()[0]) % 2) == 0)) :
+            if (centpt[index] > pep[index, outerindex]
+                    and np.count_nonzero(highs) % 2 == 0):
                 # Usually mean align left, except if it is axis 2
-                if index == 2 :
-                    align = 'right'
-                else :
-                    align = 'left'
-            else :
+                align = 'right' if index == 2 else 'left'
+            else:
                 # The TT case
                 align = 'right'
 
@@ -347,100 +548,203 @@ def draw(self, renderer):
         self.offsetText.set_ha(align)
         self.offsetText.draw(renderer)
 
-        # Draw grid lines
-        if len(xyz0) > 0:
-            # Grid points at end of one plane
-            xyz1 = copy.deepcopy(xyz0)
-            newindex = (index + 1) % 3
-            newval = get_flip_min_max(xyz1[0], newindex, mins, maxs)
-            for i in range(len(majorLocs)):
-                xyz1[i][newindex] = newval
-
-            # Grid points at end of the other plane
-            xyz2 = copy.deepcopy(xyz0)
-            newindex = (index + 2) %  3
-            newval = get_flip_min_max(xyz2[0], newindex, mins, maxs)
-            for i in range(len(majorLocs)):
-                xyz2[i][newindex] = newval
-
-            lines = list(zip(xyz1, xyz0, xyz2))
-            if self.axes._draw_grid:
-                self.gridlines.set_segments(lines)
-                self.gridlines.set_color([info['grid']['color']] * len(lines))
-                self.gridlines.draw(renderer, project=True)
-
-        # Draw ticks
-        tickdir = info['tickdir']
-        tickdelta = deltas[tickdir]
-        if highs[tickdir]:
-            ticksign = 1
-        else:
-            ticksign = -1
-
-        for tick, loc, label in zip(majorTicks, majorLocs, majorLabels):
-            if tick is None:
-                continue
+    def _draw_labels(self, renderer, edgep1, edgep2, labeldeltas, centers, dx, dy):
+        label = self._axinfo["label"]
 
-            # Get tick line positions
-            pos = copy.copy(edgep1)
-            pos[index] = loc
-            pos[tickdir] = edgep1[tickdir] + info['tick']['outward_factor'] * \
-                                             ticksign * tickdelta
-            x1, y1, z1 = proj3d.proj_transform(pos[0], pos[1], pos[2], \
-                    renderer.M)
-            pos[tickdir] = edgep1[tickdir] - info['tick']['inward_factor'] * \
-                                             ticksign * tickdelta
-            x2, y2, z2 = proj3d.proj_transform(pos[0], pos[1], pos[2], \
-                    renderer.M)
+        # Draw labels
+        lxyz = 0.5 * (edgep1 + edgep2)
+        lxyz = _move_from_center(lxyz, centers, labeldeltas, self._axmask())
+        tlx, tly, tlz = proj3d.proj_transform(*lxyz, self.axes.M)
+        self.label.set_position((tlx, tly))
+        if self.get_rotate_label(self.label.get_text()):
+            angle = art3d._norm_text_angle(np.rad2deg(np.arctan2(dy, dx)))
+            self.label.set_rotation(angle)
+        self.label.set_va(label['va'])
+        self.label.set_ha(label['ha'])
+        self.label.set_rotation_mode(label['rotation_mode'])
+        self.label.draw(renderer)
 
-            # Get position of label
-            labeldeltas = [info['ticklabel']['space_factor'] * x for
-                           x in deltas]
-            axmask = [True, True, True]
-            axmask[index] = False
-            pos[tickdir] = edgep1[tickdir]
-            pos = move_from_center(pos, centers, labeldeltas, axmask)
-            lx, ly, lz = proj3d.proj_transform(pos[0], pos[1], pos[2], \
-                    renderer.M)
-
-            tick_update_position(tick, (x1, x2), (y1, y2), (lx, ly))
-            tick.set_label1(label)
-            tick.set_label2(label)
-            tick.draw(renderer)
+    @artist.allow_rasterization
+    def draw(self, renderer):
+        self.label._transform = self.axes.transData
+        self.offsetText._transform = self.axes.transData
+        renderer.open_group("axis3d", gid=self.get_gid())
+
+        # Get general axis information:
+        mins, maxs, tc, highs = self._get_coord_info()
+        centers, deltas = self._calc_centers_deltas(maxs, mins)
+
+        # Calculate offset distances
+        # A rough estimate; points are ambiguous since 3D plots rotate
+        reltoinches = self.get_figure(root=False).dpi_scale_trans.inverted()
+        ax_inches = reltoinches.transform(self.axes.bbox.size)
+        ax_points_estimate = sum(72. * ax_inches)
+        deltas_per_point = 48 / ax_points_estimate
+        default_offset = 21.
+        labeldeltas = (self.labelpad + default_offset) * deltas_per_point * deltas
+
+        # Determine edge points for the axis lines
+        minmax = np.where(highs, maxs, mins)  # "origin" point
+        maxmin = np.where(~highs, maxs, mins)  # "opposite" corner near camera
+
+        for edgep1, edgep2, pos in zip(*self._get_all_axis_line_edge_points(
+                                           minmax, maxmin, self._tick_position)):
+            # Project the edge points along the current position
+            pep = proj3d._proj_trans_points([edgep1, edgep2], self.axes.M)
+            pep = np.asarray(pep)
+
+            # The transAxes transform is used because the Text object
+            # rotates the text relative to the display coordinate system.
+            # Therefore, if we want the labels to remain parallel to the
+            # axis regardless of the aspect ratio, we need to convert the
+            # edge points of the plane to display coordinates and calculate
+            # an angle from that.
+            # TODO: Maybe Text objects should handle this themselves?
+            dx, dy = (self.axes.transAxes.transform([pep[0:2, 1]]) -
+                      self.axes.transAxes.transform([pep[0:2, 0]]))[0]
+
+            # Draw the lines
+            self.line.set_data(pep[0], pep[1])
+            self.line.draw(renderer)
+
+            # Draw ticks
+            self._draw_ticks(renderer, edgep1, centers, deltas, highs,
+                             deltas_per_point, pos)
+
+            # Draw Offset text
+            self._draw_offset_text(renderer, edgep1, edgep2, labeldeltas,
+                                   centers, highs, pep, dx, dy)
+
+        for edgep1, edgep2, pos in zip(*self._get_all_axis_line_edge_points(
+                                           minmax, maxmin, self._label_position)):
+            # See comments above
+            pep = proj3d._proj_trans_points([edgep1, edgep2], self.axes.M)
+            pep = np.asarray(pep)
+            dx, dy = (self.axes.transAxes.transform([pep[0:2, 1]]) -
+                      self.axes.transAxes.transform([pep[0:2, 0]]))[0]
+
+            # Draw labels
+            self._draw_labels(renderer, edgep1, edgep2, labeldeltas, centers, dx, dy)
 
         renderer.close_group('axis3d')
+        self.stale = False
+
+    @artist.allow_rasterization
+    def draw_grid(self, renderer):
+        if not self.axes._draw_grid:
+            return
+
+        renderer.open_group("grid3d", gid=self.get_gid())
+
+        ticks = self._update_ticks()
+        if len(ticks):
+            # Get general axis information:
+            info = self._axinfo
+            index = info["i"]
+
+            mins, maxs, tc, highs = self._get_coord_info()
+
+            minmax = np.where(highs, maxs, mins)
+            maxmin = np.where(~highs, maxs, mins)
+
+            # Grid points where the planes meet
+            xyz0 = np.tile(minmax, (len(ticks), 1))
+            xyz0[:, index] = [tick.get_loc() for tick in ticks]
+
+            # Grid lines go from the end of one plane through the plane
+            # intersection (at xyz0) to the end of the other plane.  The first
+            # point (0) differs along dimension index-2 and the last (2) along
+            # dimension index-1.
+            lines = np.stack([xyz0, xyz0, xyz0], axis=1)
+            lines[:, 0, index - 2] = maxmin[index - 2]
+            lines[:, 2, index - 1] = maxmin[index - 1]
+            self.gridlines.set_segments(lines)
+            gridinfo = info['grid']
+            self.gridlines.set_color(gridinfo['color'])
+            self.gridlines.set_linewidth(gridinfo['linewidth'])
+            self.gridlines.set_linestyle(gridinfo['linestyle'])
+            self.gridlines.do_3d_projection()
+            self.gridlines.draw(renderer)
+
+        renderer.close_group('grid3d')
+
+    # TODO: Get this to work (more) properly when mplot3d supports the
+    #       transforms framework.
+    def get_tightbbox(self, renderer=None, *, for_layout_only=False):
+        # docstring inherited
+        if not self.get_visible():
+            return
+        # We have to directly access the internal data structures
+        # (and hope they are up to date) because at draw time we
+        # shift the ticks and their labels around in (x, y) space
+        # based on the projection, the current view port, and their
+        # position in 3D space. If we extend the transforms framework
+        # into 3D we would not need to do this different book keeping
+        # than we do in the normal axis
+        major_locs = self.get_majorticklocs()
+        minor_locs = self.get_minorticklocs()
+
+        ticks = [*self.get_minor_ticks(len(minor_locs)),
+                 *self.get_major_ticks(len(major_locs))]
+        view_low, view_high = self.get_view_interval()
+        if view_low > view_high:
+            view_low, view_high = view_high, view_low
+        interval_t = self.get_transform().transform([view_low, view_high])
+
+        ticks_to_draw = []
+        for tick in ticks:
+            try:
+                loc_t = self.get_transform().transform(tick.get_loc())
+            except AssertionError:
+                # Transform.transform doesn't allow masked values but
+                # some scales might make them, so we need this try/except.
+                pass
+            else:
+                if mtransforms._interval_contains_close(interval_t, loc_t):
+                    ticks_to_draw.append(tick)
+
+        ticks = ticks_to_draw
+
+        bb_1, bb_2 = self._get_ticklabel_bboxes(ticks, renderer)
+        other = []
+
+        if self.line.get_visible():
+            other.append(self.line.get_window_extent(renderer))
+        if (self.label.get_visible() and not for_layout_only and
+                self.label.get_text()):
+            other.append(self.label.get_window_extent(renderer))
+
+        return mtransforms.Bbox.union([*bb_1, *bb_2, *other])
+
+    d_interval = _api.deprecated(
+        "3.6", alternative="get_data_interval", pending=True)(
+            property(lambda self: self.get_data_interval(),
+                     lambda self, minmax: self.set_data_interval(*minmax)))
+    v_interval = _api.deprecated(
+        "3.6", alternative="get_view_interval", pending=True)(
+            property(lambda self: self.get_view_interval(),
+                     lambda self, minmax: self.set_view_interval(*minmax)))
 
-    def get_view_interval(self):
-        """return the Interval instance for this 3d axis view limits"""
-        return self.v_interval
-
-    def set_view_interval(self, vmin, vmax, ignore=False):
-        if ignore:
-            self.v_interval = vmin, vmax
-        else:
-            Vmin, Vmax = self.get_view_interval()
-            self.v_interval = min(vmin, Vmin), max(vmax, Vmax)
-
-    # TODO: Get this to work properly when mplot3d supports
-    #       the transforms framework.
-    def get_tightbbox(self, renderer) :
-        # Currently returns None so that Axis.get_tightbbox
-        # doesn't return junk info.
-        return None
-
-# Use classes to look at different data limits
 
 class XAxis(Axis):
-    def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
-        return self.axes.xy_dataLim.intervalx
+    axis_name = "x"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "xy_viewLim", "intervalx")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "xy_dataLim", "intervalx")
+
 
 class YAxis(Axis):
-    def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
-        return self.axes.xy_dataLim.intervaly
+    axis_name = "y"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "xy_viewLim", "intervaly")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "xy_dataLim", "intervaly")
+
 
 class ZAxis(Axis):
-    def get_data_interval(self):
-        'return the Interval instance for this axis data limits'
-        return self.axes.zz_dataLim.intervalx
+    axis_name = "z"
+    get_view_interval, set_view_interval = maxis._make_getset_interval(
+        "view", "zz_viewLim", "intervalx")
+    get_data_interval, set_data_interval = maxis._make_getset_interval(
+        "data", "zz_dataLim", "intervalx")
diff --git a/lib/mpl_toolkits/mplot3d/meson.build b/lib/mpl_toolkits/mplot3d/meson.build
new file mode 100644
index 000000000000..2d9cade6c93c
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/meson.build
@@ -0,0 +1,11 @@
+python_sources = [
+  '__init__.py',
+  'art3d.py',
+  'axes3d.py',
+  'axis3d.py',
+  'proj3d.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/mplot3d')
+
+subdir('tests')
diff --git a/lib/mpl_toolkits/mplot3d/proj3d.py b/lib/mpl_toolkits/mplot3d/proj3d.py
old mode 100755
new mode 100644
index 1df85bb55959..87c59ae05714
--- a/lib/mpl_toolkits/mplot3d/proj3d.py
+++ b/lib/mpl_toolkits/mplot3d/proj3d.py
@@ -1,287 +1,236 @@
-#!/usr/bin/python
-# 3dproj.py
-#
 """
 Various transforms used for by the 3D code
 """
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
 
-import six
-from six.moves import zip
-
-from matplotlib.collections import LineCollection
-from matplotlib.patches import Circle
 import numpy as np
-import numpy.linalg as linalg
 
+from matplotlib import _api
 
 
-def line2d(p0, p1):
+def world_transformation(xmin, xmax,
+                         ymin, ymax,
+                         zmin, zmax, pb_aspect=None):
     """
-    Return 2D equation of line in the form ax+by+c = 0
+    Produce a matrix that scales homogeneous coords in the specified ranges
+    to [0, 1], or [0, pb_aspect[i]] if the plotbox aspect ratio is specified.
     """
-    # x + x1  = 0
-    x0, y0 = p0[:2]
-    x1, y1 = p1[:2]
-    #
-    if x0 == x1:
-        a = -1
-        b = 0
-        c = x1
-    elif y0 == y1:
-        a = 0
-        b = 1
-        c = -y1
-    else:
-        a = (y0-y1)
-        b = (x0-x1)
-        c = (x0*y1 - x1*y0)
-    return a, b, c
-
-def line2d_dist(l, p):
+    dx = xmax - xmin
+    dy = ymax - ymin
+    dz = zmax - zmin
+    if pb_aspect is not None:
+        ax, ay, az = pb_aspect
+        dx /= ax
+        dy /= ay
+        dz /= az
+
+    return np.array([[1/dx,    0,    0, -xmin/dx],
+                     [   0, 1/dy,    0, -ymin/dy],
+                     [   0,    0, 1/dz, -zmin/dz],
+                     [   0,    0,    0,        1]])
+
+
+def _rotation_about_vector(v, angle):
     """
-    Distance from line to point
-    line is a tuple of coefficients a,b,c
+    Produce a rotation matrix for an angle in radians about a vector.
     """
-    a, b, c = l
-    x0, y0 = p
-    return abs((a*x0 + b*y0 + c)/np.sqrt(a**2+b**2))
+    vx, vy, vz = v / np.linalg.norm(v)
+    s = np.sin(angle)
+    c = np.cos(angle)
+    t = 2*np.sin(angle/2)**2  # more numerically stable than t = 1-c
 
+    R = np.array([
+        [t*vx*vx + c,    t*vx*vy - vz*s, t*vx*vz + vy*s],
+        [t*vy*vx + vz*s, t*vy*vy + c,    t*vy*vz - vx*s],
+        [t*vz*vx - vy*s, t*vz*vy + vx*s, t*vz*vz + c]])
 
-def line2d_seg_dist(p1, p2, p0):
-    """distance(s) from line defined by p1 - p2 to point(s) p0
+    return R
 
-    p0[0] = x(s)
-    p0[1] = y(s)
 
-    intersection point p = p1 + u*(p2-p1)
-    and intersection point lies within segment if u is between 0 and 1
+def _view_axes(E, R, V, roll):
     """
+    Get the unit viewing axes in data coordinates.
+
+    Parameters
+    ----------
+    E : 3-element numpy array
+        The coordinates of the eye/camera.
+    R : 3-element numpy array
+        The coordinates of the center of the view box.
+    V : 3-element numpy array
+        Unit vector in the direction of the vertical axis.
+    roll : float
+        The roll angle in radians.
+
+    Returns
+    -------
+    u : 3-element numpy array
+        Unit vector pointing towards the right of the screen.
+    v : 3-element numpy array
+        Unit vector pointing towards the top of the screen.
+    w : 3-element numpy array
+        Unit vector pointing out of the screen.
+    """
+    w = (E - R)
+    w = w/np.linalg.norm(w)
+    u = np.cross(V, w)
+    u = u/np.linalg.norm(u)
+    v = np.cross(w, u)  # Will be a unit vector
+
+    # Save some computation for the default roll=0
+    if roll != 0:
+        # A positive rotation of the camera is a negative rotation of the world
+        Rroll = _rotation_about_vector(w, -roll)
+        u = np.dot(Rroll, u)
+        v = np.dot(Rroll, v)
+    return u, v, w
+
+
+def _view_transformation_uvw(u, v, w, E):
+    """
+    Return the view transformation matrix.
+
+    Parameters
+    ----------
+    u : 3-element numpy array
+        Unit vector pointing towards the right of the screen.
+    v : 3-element numpy array
+        Unit vector pointing towards the top of the screen.
+    w : 3-element numpy array
+        Unit vector pointing out of the screen.
+    E : 3-element numpy array
+        The coordinates of the eye/camera.
+    """
+    Mr = np.eye(4)
+    Mt = np.eye(4)
+    Mr[:3, :3] = [u, v, w]
+    Mt[:3, -1] = -E
+    M = np.dot(Mr, Mt)
+    return M
 
-    x21 = p2[0] - p1[0]
-    y21 = p2[1] - p1[1]
-    x01 = np.asarray(p0[0]) - p1[0]
-    y01 = np.asarray(p0[1]) - p1[1]
 
-    u = (x01*x21 + y01*y21)/float(abs(x21**2 + y21**2))
-    u = np.clip(u, 0, 1)
-    d = np.sqrt((x01 - u*x21)**2 + (y01 - u*y21)**2)
+def _persp_transformation(zfront, zback, focal_length):
+    e = focal_length
+    a = 1  # aspect ratio
+    b = (zfront+zback)/(zfront-zback)
+    c = -2*(zfront*zback)/(zfront-zback)
+    proj_matrix = np.array([[e,   0,  0, 0],
+                            [0, e/a,  0, 0],
+                            [0,   0,  b, c],
+                            [0,   0, -1, 0]])
+    return proj_matrix
 
-    return d
 
-def test_lines_dists():
-    import pylab
-    ax = pylab.gca()
+def _ortho_transformation(zfront, zback):
+    # note: w component in the resulting vector will be (zback-zfront), not 1
+    a = -(zfront + zback)
+    b = -(zfront - zback)
+    proj_matrix = np.array([[2, 0,  0, 0],
+                            [0, 2,  0, 0],
+                            [0, 0, -2, 0],
+                            [0, 0,  a, b]])
+    return proj_matrix
 
-    xs, ys = (0,30), (20,150)
-    pylab.plot(xs, ys)
-    points = list(zip(xs, ys))
-    p0, p1 = points
 
-    xs, ys = (0,0,20,30), (100,150,30,200)
-    pylab.scatter(xs, ys)
+def _proj_transform_vec(vec, M):
+    vecw = np.dot(M, vec.data)
+    ts = vecw[0:3]/vecw[3]
+    if np.ma.isMA(vec):
+        ts = np.ma.array(ts, mask=vec.mask)
+    return ts[0], ts[1], ts[2]
 
-    dist = line2d_seg_dist(p0, p1, (xs[0], ys[0]))
-    dist = line2d_seg_dist(p0, p1, np.array((xs, ys)))
-    for x, y, d in zip(xs, ys, dist):
-        c = Circle((x, y), d, fill=0)
-        ax.add_patch(c)
 
-    pylab.xlim(-200, 200)
-    pylab.ylim(-200, 200)
-    pylab.show()
+def _proj_transform_vectors(vecs, M):
+    """
+    Vectorized version of ``_proj_transform_vec``.
+
+    Parameters
+    ----------
+    vecs : ... x 3 np.ndarray
+        Input vectors
+    M : 4 x 4 np.ndarray
+        Projection matrix
+    """
+    vecs_shape = vecs.shape
+    vecs = vecs.reshape(-1, 3).T
 
-def mod(v):
-    """3d vector length"""
-    return np.sqrt(v[0]**2+v[1]**2+v[2]**2)
+    vecs_pad = np.empty((vecs.shape[0] + 1,) + vecs.shape[1:])
+    vecs_pad[:-1] = vecs
+    vecs_pad[-1] = 1
+    product = np.dot(M, vecs_pad)
+    tvecs = product[:3] / product[3]
 
-def world_transformation(xmin, xmax,
-                         ymin, ymax,
-                         zmin, zmax):
-    dx, dy, dz = (xmax-xmin), (ymax-ymin), (zmax-zmin)
-    return np.array([
-        [1.0/dx,0,0,-xmin/dx],
-        [0,1.0/dy,0,-ymin/dy],
-        [0,0,1.0/dz,-zmin/dz],
-        [0,0,0,1.0]])
-
-def test_world():
-    xmin, xmax = 100, 120
-    ymin, ymax = -100, 100
-    zmin, zmax = 0.1, 0.2
-    M = world_transformation(xmin, xmax, ymin, ymax, zmin, zmax)
-    print(M)
-
-def view_transformation(E, R, V):
-    n = (E - R)
-    ## new
-#    n /= mod(n)
-#    u = np.cross(V,n)
-#    u /= mod(u)
-#    v = np.cross(n,u)
-#    Mr = np.diag([1.]*4)
-#    Mt = np.diag([1.]*4)
-#    Mr[:3,:3] = u,v,n
-#    Mt[:3,-1] = -E
-    ## end new
-
-    ## old
-    n = n / mod(n)
-    u = np.cross(V, n)
-    u = u / mod(u)
-    v = np.cross(n, u)
-    Mr = [[u[0],u[1],u[2],0],
-          [v[0],v[1],v[2],0],
-          [n[0],n[1],n[2],0],
-          [0,   0,   0,   1],
-          ]
-    #
-    Mt = [[1, 0, 0, -E[0]],
-          [0, 1, 0, -E[1]],
-          [0, 0, 1, -E[2]],
-          [0, 0, 0, 1]]
-    ## end old
-
-    return np.dot(Mr, Mt)
-
-def persp_transformation(zfront, zback):
-    a = (zfront+zback)/(zfront-zback)
-    b = -2*(zfront*zback)/(zfront-zback)
-    return np.array([[1,0,0,0],
-                     [0,1,0,0],
-                     [0,0,a,b],
-                     [0,0,-1,0]
-                     ])
-
-def proj_transform_vec(vec, M):
-    vecw = np.dot(M, vec)
-    w = vecw[3]
-    # clip here..
-    txs, tys, tzs = vecw[0]/w, vecw[1]/w, vecw[2]/w
-    return txs, tys, tzs
-
-def proj_transform_vec_clip(vec, M):
-    vecw = np.dot(M, vec)
-    w = vecw[3]
-    # clip here..
-    txs, tys, tzs = vecw[0]/w, vecw[1]/w, vecw[2]/w
-    tis = (vecw[0] >= 0) * (vecw[0] <= 1) * (vecw[1] >= 0) * (vecw[1] <= 1)
-    if np.sometrue(tis):
-        tis =  vecw[1] < 1
-    return txs, tys, tzs, tis
+    return tvecs.T.reshape(vecs_shape)
 
-def inv_transform(xs, ys, zs, M):
-    iM = linalg.inv(M)
-    vec = vec_pad_ones(xs, ys, zs)
-    vecr = np.dot(iM, vec)
-    try:
-        vecr = vecr/vecr[3]
-    except OverflowError:
-        pass
-    return vecr[0], vecr[1], vecr[2]
 
-def vec_pad_ones(xs, ys, zs):
-    try:
-        try:
-            vec = np.array([xs,ys,zs,np.ones(xs.shape)])
-        except (AttributeError,TypeError):
-            vec = np.array([xs,ys,zs,np.ones((len(xs)))])
-    except TypeError:
-        vec = np.array([xs,ys,zs,1])
-    return vec
+def _proj_transform_vec_clip(vec, M, focal_length):
+    vecw = np.dot(M, vec.data)
+    txs, tys, tzs = vecw[0:3] / vecw[3]
+    if np.isinf(focal_length):  # don't clip orthographic projection
+        tis = np.ones(txs.shape, dtype=bool)
+    else:
+        tis = (-1 <= txs) & (txs <= 1) & (-1 <= tys) & (tys <= 1) & (tzs <= 0)
+    if np.ma.isMA(vec[0]):
+        tis = tis & ~vec[0].mask
+    if np.ma.isMA(vec[1]):
+        tis = tis & ~vec[1].mask
+    if np.ma.isMA(vec[2]):
+        tis = tis & ~vec[2].mask
+
+    txs = np.ma.masked_array(txs, ~tis)
+    tys = np.ma.masked_array(tys, ~tis)
+    tzs = np.ma.masked_array(tzs, ~tis)
+    return txs, tys, tzs, tis
 
-def proj_transform(xs, ys, zs, M):
-    """
-    Transform the points by the projection matrix
-    """
-    vec = vec_pad_ones(xs, ys, zs)
-    return proj_transform_vec(vec, M)
 
-def proj_transform_clip(xs, ys, zs, M):
+def inv_transform(xs, ys, zs, invM):
     """
-    Transform the points by the projection matrix
-    and return the clipping result
-    returns txs,tys,tzs,tis
+    Transform the points by the inverse of the projection matrix, *invM*.
     """
-    vec = vec_pad_ones(xs, ys, zs)
-    return proj_transform_vec_clip(vec, M)
-transform = proj_transform
-
-def proj_points(points, M):
-    return list(zip(*proj_trans_points(points, M)))
+    vec = _vec_pad_ones(xs, ys, zs)
+    vecr = np.dot(invM, vec)
+    if vecr.shape == (4,):
+        vecr = vecr.reshape((4, 1))
+    for i in range(vecr.shape[1]):
+        if vecr[3][i] != 0:
+            vecr[:, i] = vecr[:, i] / vecr[3][i]
+    return vecr[0], vecr[1], vecr[2]
 
-def proj_trans_points(points, M):
-    xs, ys, zs = list(zip(*points))
-    return proj_transform(xs, ys, zs, M)
 
-def proj_trans_clip_points(points, M):
-    xs, ys, zs = list(zip(*points))
-    return proj_transform_clip(xs, ys, zs, M)
-
-def test_proj_draw_axes(M, s=1):
-    import pylab
-    xs, ys, zs = [0, s, 0, 0], [0, 0, s, 0], [0, 0, 0, s]
-    txs, tys, tzs = proj_transform(xs, ys, zs, M)
-    o, ax, ay, az = (txs[0], tys[0]), (txs[1], tys[1]), \
-            (txs[2], tys[2]), (txs[3], tys[3])
-    lines = [(o, ax), (o, ay), (o, az)]
-
-    ax = pylab.gca()
-    linec = LineCollection(lines)
-    ax.add_collection(linec)
-    for x, y, t in zip(txs, tys, ['o', 'x', 'y', 'z']):
-        pylab.text(x, y, t)
-
-def test_proj_make_M(E=None):
-    # eye point
-    E = E or np.array([1, -1, 2]) * 1000
-    #E = np.array([20,10,20])
-    R = np.array([1, 1, 1]) * 100
-    V = np.array([0, 0, 1])
-    viewM = view_transformation(E, R, V)
-    perspM = persp_transformation(100, -100)
-    M = np.dot(perspM, viewM)
-    return M
+def _vec_pad_ones(xs, ys, zs):
+    if np.ma.isMA(xs) or np.ma.isMA(ys) or np.ma.isMA(zs):
+        return np.ma.array([xs, ys, zs, np.ones_like(xs)])
+    else:
+        return np.array([xs, ys, zs, np.ones_like(xs)])
 
-def test_proj():
-    import pylab
-    M = test_proj_make_M()
 
-    ts = ['%d' % i for i in [0,1,2,3,0,4,5,6,7,4]]
-    xs, ys, zs = [0,1,1,0,0, 0,1,1,0,0], [0,0,1,1,0, 0,0,1,1,0], \
-            [0,0,0,0,0, 1,1,1,1,1]
-    xs, ys, zs = [np.array(v)*300 for v in (xs, ys, zs)]
-    #
-    test_proj_draw_axes(M, s=400)
-    txs, tys, tzs = proj_transform(xs, ys, zs, M)
-    ixs, iys, izs = inv_transform(txs, tys, tzs, M)
+def proj_transform(xs, ys, zs, M):
+    """
+    Transform the points by the projection matrix *M*.
+    """
+    vec = _vec_pad_ones(xs, ys, zs)
+    return _proj_transform_vec(vec, M)
 
-    pylab.scatter(txs, tys, c=tzs)
-    pylab.plot(txs, tys, c='r')
-    for x, y, t in zip(txs, tys, ts):
-        pylab.text(x, y, t)
 
-    pylab.xlim(-0.2, 0.2)
-    pylab.ylim(-0.2, 0.2)
+@_api.deprecated("3.10")
+def proj_transform_clip(xs, ys, zs, M):
+    return _proj_transform_clip(xs, ys, zs, M, focal_length=np.inf)
 
-    pylab.show()
 
-def rot_x(V, alpha):
-    cosa, sina = np.cos(alpha), np.sin(alpha)
-    M1 = np.array([[1,0,0,0],
-                   [0,cosa,-sina,0],
-                   [0,sina,cosa,0],
-                   [0,0,0,0]])
+def _proj_transform_clip(xs, ys, zs, M, focal_length):
+    """
+    Transform the points by the projection matrix
+    and return the clipping result
+    returns txs, tys, tzs, tis
+    """
+    vec = _vec_pad_ones(xs, ys, zs)
+    return _proj_transform_vec_clip(vec, M, focal_length)
 
-    return np.dot(M1, V)
 
-def test_rot():
-    V = [1,0,0,1]
-    print(rot_x(V, np.pi/6))
-    V = [0,1,0,1]
-    print(rot_x(V, np.pi/6))
+def _proj_points(points, M):
+    return np.column_stack(_proj_trans_points(points, M))
 
 
-if __name__ == "__main__":
-    test_proj()
+def _proj_trans_points(points, M):
+    points = np.asanyarray(points)
+    xs, ys, zs = points[:, 0], points[:, 1], points[:, 2]
+    return proj_transform(xs, ys, zs, M)
diff --git a/lib/mpl_toolkits/mplot3d/tests/__init__.py b/lib/mpl_toolkits/mplot3d/tests/__init__.py
new file mode 100644
index 000000000000..ea4d8ed16a6a
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/__init__.py
@@ -0,0 +1,10 @@
+from pathlib import Path
+
+
+# Check that the test directories exist
+if not (Path(__file__).parent / "baseline_images").exists():
+    raise OSError(
+        'The baseline image directory does not exist. '
+        'This is most likely because the test data is not installed. '
+        'You may need to install matplotlib from source to get the '
+        'test data.')
diff --git a/lib/mpl_toolkits/mplot3d/tests/baseline_images/test_axes3d/add_collection3d_zs_array.png b/lib/mpl_toolkits/mplot3d/tests/baseline_images/test_axes3d/add_collection3d_zs_array.png
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index 000000000000..61c2de3e07ba
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/conftest.py
@@ -0,0 +1,2 @@
+from matplotlib.testing.conftest import (mpl_test_settings,  # noqa
+                                         pytest_configure, pytest_unconfigure)
diff --git a/lib/mpl_toolkits/mplot3d/tests/meson.build b/lib/mpl_toolkits/mplot3d/tests/meson.build
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--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/meson.build
@@ -0,0 +1,14 @@
+python_sources = [
+  '__init__.py',
+  'conftest.py',
+  'test_art3d.py',
+  'test_axes3d.py',
+  'test_legend3d.py',
+]
+
+py3.install_sources(python_sources, subdir: 'mpl_toolkits/mplot3d/tests')
+
+install_subdir(
+  'baseline_images',
+  install_tag: 'tests',
+  install_dir: py3.get_install_dir(subdir: 'mpl_toolkits/mplot3d/tests'))
diff --git a/lib/mpl_toolkits/mplot3d/tests/test_art3d.py b/lib/mpl_toolkits/mplot3d/tests/test_art3d.py
new file mode 100644
index 000000000000..174c12608ae9
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/test_art3d.py
@@ -0,0 +1,102 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+
+from matplotlib.backend_bases import MouseEvent
+from mpl_toolkits.mplot3d.art3d import (
+    Line3DCollection,
+    Poly3DCollection,
+    _all_points_on_plane,
+)
+
+
+def test_scatter_3d_projection_conservation():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    # fix axes3d projection
+    ax.roll = 0
+    ax.elev = 0
+    ax.azim = -45
+    ax.stale = True
+
+    x = [0, 1, 2, 3, 4]
+    scatter_collection = ax.scatter(x, x, x)
+    fig.canvas.draw_idle()
+
+    # Get scatter location on canvas and freeze the data
+    scatter_offset = scatter_collection.get_offsets()
+    scatter_location = ax.transData.transform(scatter_offset)
+
+    # Yaw -44 and -46 are enough to produce two set of scatter
+    # with opposite z-order without moving points too far
+    for azim in (-44, -46):
+        ax.azim = azim
+        ax.stale = True
+        fig.canvas.draw_idle()
+
+        for i in range(5):
+            # Create a mouse event used to locate and to get index
+            # from each dots
+            event = MouseEvent("button_press_event", fig.canvas,
+                               *scatter_location[i, :])
+            contains, ind = scatter_collection.contains(event)
+            assert contains is True
+            assert len(ind["ind"]) == 1
+            assert ind["ind"][0] == i
+
+
+def test_zordered_error():
+    # Smoke test for https://github.com/matplotlib/matplotlib/issues/26497
+    lc = [(np.fromiter([0.0, 0.0, 0.0], dtype="float"),
+           np.fromiter([1.0, 1.0, 1.0], dtype="float"))]
+    pc = [np.fromiter([0.0, 0.0], dtype="float"),
+          np.fromiter([0.0, 1.0], dtype="float"),
+          np.fromiter([1.0, 1.0], dtype="float")]
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection="3d")
+    ax.add_collection(Line3DCollection(lc))
+    ax.scatter(*pc, visible=False)
+    plt.draw()
+
+
+def test_all_points_on_plane():
+    # Non-coplanar points
+    points = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 1]])
+    assert not _all_points_on_plane(*points.T)
+
+    # Duplicate points
+    points = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 0]])
+    assert _all_points_on_plane(*points.T)
+
+    # NaN values
+    points = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, np.nan]])
+    assert _all_points_on_plane(*points.T)
+
+    # Less than 3 unique points
+    points = np.array([[0, 0, 0], [0, 0, 0], [0, 0, 0]])
+    assert _all_points_on_plane(*points.T)
+
+    # All points lie on a line
+    points = np.array([[0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0]])
+    assert _all_points_on_plane(*points.T)
+
+    # All points lie on two lines, with antiparallel vectors
+    points = np.array([[-2, 2, 0], [-1, 1, 0], [1, -1, 0],
+                       [0, 0, 0], [2, 0, 0], [1, 0, 0]])
+    assert _all_points_on_plane(*points.T)
+
+    # All points lie on a plane
+    points = np.array([[0, 0, 0], [0, 1, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0]])
+    assert _all_points_on_plane(*points.T)
+
+
+def test_generate_normals():
+    # Smoke test for https://github.com/matplotlib/matplotlib/issues/29156
+    vertices = ((0, 0, 0), (0, 5, 0), (5, 5, 0), (5, 0, 0))
+    shape = Poly3DCollection([vertices], edgecolors='r', shade=True)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.add_collection3d(shape)
+    plt.draw()
diff --git a/lib/mpl_toolkits/mplot3d/tests/test_axes3d.py b/lib/mpl_toolkits/mplot3d/tests/test_axes3d.py
new file mode 100644
index 000000000000..79c7baba9bd1
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/test_axes3d.py
@@ -0,0 +1,2693 @@
+import functools
+import itertools
+import platform
+import sys
+
+import pytest
+
+from mpl_toolkits.mplot3d import Axes3D, axes3d, proj3d, art3d
+from mpl_toolkits.mplot3d.axes3d import _Quaternion as Quaternion
+import matplotlib as mpl
+from matplotlib.backend_bases import (MouseButton, MouseEvent,
+                                      NavigationToolbar2)
+from matplotlib import cm
+from matplotlib import colors as mcolors, patches as mpatch
+from matplotlib.testing.decorators import image_comparison, check_figures_equal
+from matplotlib.testing.widgets import mock_event
+from matplotlib.collections import LineCollection, PolyCollection
+from matplotlib.patches import Circle, PathPatch
+from matplotlib.path import Path
+from matplotlib.text import Text
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+mpl3d_image_comparison = functools.partial(
+    image_comparison, remove_text=True, style='default')
+
+
+def plot_cuboid(ax, scale):
+    # plot a rectangular cuboid with side lengths given by scale (x, y, z)
+    r = [0, 1]
+    pts = itertools.combinations(np.array(list(itertools.product(r, r, r))), 2)
+    for start, end in pts:
+        if np.sum(np.abs(start - end)) == r[1] - r[0]:
+            ax.plot3D(*zip(start*np.array(scale), end*np.array(scale)))
+
+
+@check_figures_equal()
+def test_invisible_axes(fig_test, fig_ref):
+    ax = fig_test.subplots(subplot_kw=dict(projection='3d'))
+    ax.set_visible(False)
+
+
+@mpl3d_image_comparison(['grid_off.png'], style='mpl20')
+def test_grid_off():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.grid(False)
+
+
+@mpl3d_image_comparison(['invisible_ticks_axis.png'], style='mpl20')
+def test_invisible_ticks_axis():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_xticks([])
+    ax.set_yticks([])
+    ax.set_zticks([])
+    for axis in [ax.xaxis, ax.yaxis, ax.zaxis]:
+        axis.line.set_visible(False)
+
+
+@mpl3d_image_comparison(['axis_positions.png'], remove_text=False, style='mpl20')
+def test_axis_positions():
+    positions = ['upper', 'lower', 'both', 'none']
+    fig, axs = plt.subplots(2, 2, subplot_kw={'projection': '3d'})
+    for ax, pos in zip(axs.flatten(), positions):
+        for axis in ax.xaxis, ax.yaxis, ax.zaxis:
+            axis.set_label_position(pos)
+            axis.set_ticks_position(pos)
+        title = f'{pos}'
+        ax.set(xlabel='x', ylabel='y', zlabel='z', title=title)
+
+
+@mpl3d_image_comparison(['aspects.png'], remove_text=False, style='mpl20')
+def test_aspects():
+    aspects = ('auto', 'equal', 'equalxy', 'equalyz', 'equalxz', 'equal')
+    _, axs = plt.subplots(2, 3, subplot_kw={'projection': '3d'})
+
+    for ax in axs.flatten()[0:-1]:
+        plot_cuboid(ax, scale=[1, 1, 5])
+    # plot a cube as well to cover github #25443
+    plot_cuboid(axs[1][2], scale=[1, 1, 1])
+
+    for i, ax in enumerate(axs.flatten()):
+        ax.set_title(aspects[i])
+        ax.set_box_aspect((3, 4, 5))
+        ax.set_aspect(aspects[i], adjustable='datalim')
+    axs[1][2].set_title('equal (cube)')
+
+
+@mpl3d_image_comparison(['aspects_adjust_box.png'],
+                        remove_text=False, style='mpl20')
+def test_aspects_adjust_box():
+    aspects = ('auto', 'equal', 'equalxy', 'equalyz', 'equalxz')
+    fig, axs = plt.subplots(1, len(aspects), subplot_kw={'projection': '3d'},
+                            figsize=(11, 3))
+
+    for i, ax in enumerate(axs):
+        plot_cuboid(ax, scale=[4, 3, 5])
+        ax.set_title(aspects[i])
+        ax.set_aspect(aspects[i], adjustable='box')
+
+
+def test_axes3d_repr():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_label('label')
+    ax.set_title('title')
+    ax.set_xlabel('x')
+    ax.set_ylabel('y')
+    ax.set_zlabel('z')
+    assert repr(ax) == (
+        "<Axes3D: label='label', "
+        "title={'center': 'title'}, xlabel='x', ylabel='y', zlabel='z'>")
+
+
+@mpl3d_image_comparison(['axes3d_primary_views.png'], style='mpl20',
+                        tol=0.05 if sys.platform == "darwin" else 0)
+def test_axes3d_primary_views():
+    # (elev, azim, roll)
+    views = [(90, -90, 0),  # XY
+             (0, -90, 0),   # XZ
+             (0, 0, 0),     # YZ
+             (-90, 90, 0),  # -XY
+             (0, 90, 0),    # -XZ
+             (0, 180, 0)]   # -YZ
+    # When viewing primary planes, draw the two visible axes so they intersect
+    # at their low values
+    fig, axs = plt.subplots(2, 3, subplot_kw={'projection': '3d'})
+    for i, ax in enumerate(axs.flat):
+        ax.set_xlabel('x')
+        ax.set_ylabel('y')
+        ax.set_zlabel('z')
+        ax.set_proj_type('ortho')
+        ax.view_init(elev=views[i][0], azim=views[i][1], roll=views[i][2])
+    plt.tight_layout()
+
+
+@mpl3d_image_comparison(['bar3d.png'], style='mpl20')
+def test_bar3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
+        xs = np.arange(20)
+        ys = np.arange(20)
+        cs = [c] * len(xs)
+        cs[0] = 'c'
+        ax.bar(xs, ys, zs=z, zdir='y', align='edge', color=cs, alpha=0.8)
+
+
+def test_bar3d_colors():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    for c in ['red', 'green', 'blue', 'yellow']:
+        xs = np.arange(len(c))
+        ys = np.zeros_like(xs)
+        zs = np.zeros_like(ys)
+        # Color names with same length as xs/ys/zs should not be split into
+        # individual letters.
+        ax.bar3d(xs, ys, zs, 1, 1, 1, color=c)
+
+
+@mpl3d_image_comparison(['bar3d_shaded.png'], style='mpl20')
+def test_bar3d_shaded():
+    x = np.arange(4)
+    y = np.arange(5)
+    x2d, y2d = np.meshgrid(x, y)
+    x2d, y2d = x2d.ravel(), y2d.ravel()
+    z = x2d + y2d + 1  # Avoid triggering bug with zero-depth boxes.
+
+    views = [(30, -60, 0), (30, 30, 30), (-30, 30, -90), (300, -30, 0)]
+    fig = plt.figure(figsize=plt.figaspect(1 / len(views)))
+    axs = fig.subplots(
+        1, len(views),
+        subplot_kw=dict(projection='3d')
+    )
+    for ax, (elev, azim, roll) in zip(axs, views):
+        ax.bar3d(x2d, y2d, x2d * 0, 1, 1, z, shade=True)
+        ax.view_init(elev=elev, azim=azim, roll=roll)
+    fig.canvas.draw()
+
+
+@mpl3d_image_comparison(['bar3d_notshaded.png'], style='mpl20')
+def test_bar3d_notshaded():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    x = np.arange(4)
+    y = np.arange(5)
+    x2d, y2d = np.meshgrid(x, y)
+    x2d, y2d = x2d.ravel(), y2d.ravel()
+    z = x2d + y2d
+    ax.bar3d(x2d, y2d, x2d * 0, 1, 1, z, shade=False)
+    fig.canvas.draw()
+
+
+def test_bar3d_lightsource():
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1, projection="3d")
+
+    ls = mcolors.LightSource(azdeg=0, altdeg=90)
+
+    length, width = 3, 4
+    area = length * width
+
+    x, y = np.meshgrid(np.arange(length), np.arange(width))
+    x = x.ravel()
+    y = y.ravel()
+    dz = x + y
+
+    color = [cm.coolwarm(i/area) for i in range(area)]
+
+    collection = ax.bar3d(x=x, y=y, z=0,
+                          dx=1, dy=1, dz=dz,
+                          color=color, shade=True, lightsource=ls)
+
+    # Testing that the custom 90° lightsource produces different shading on
+    # the top facecolors compared to the default, and that those colors are
+    # precisely (within floating point rounding errors of 4 ULP) the colors
+    # from the colormap, due to the illumination parallel to the z-axis.
+    np.testing.assert_array_max_ulp(color, collection._facecolor3d[1::6], 4)
+
+
+@mpl3d_image_comparison(['contour3d.png'], style='mpl20',
+                        tol=0 if platform.machine() == 'x86_64' else 0.002)
+def test_contour3d():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.contour(X, Y, Z, zdir='z', offset=-100, cmap="coolwarm")
+    ax.contour(X, Y, Z, zdir='x', offset=-40, cmap="coolwarm")
+    ax.contour(X, Y, Z, zdir='y', offset=40, cmap="coolwarm")
+    ax.axis(xmin=-40, xmax=40, ymin=-40, ymax=40, zmin=-100, zmax=100)
+
+
+@mpl3d_image_comparison(['contour3d_extend3d.png'], style='mpl20')
+def test_contour3d_extend3d():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.contour(X, Y, Z, zdir='z', offset=-100, cmap="coolwarm", extend3d=True)
+    ax.set_xlim(-30, 30)
+    ax.set_ylim(-20, 40)
+    ax.set_zlim(-80, 80)
+
+
+@mpl3d_image_comparison(['contourf3d.png'], style='mpl20')
+def test_contourf3d():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap="coolwarm")
+    ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap="coolwarm")
+    ax.contourf(X, Y, Z, zdir='y', offset=40, cmap="coolwarm")
+    ax.set_xlim(-40, 40)
+    ax.set_ylim(-40, 40)
+    ax.set_zlim(-100, 100)
+
+
+@mpl3d_image_comparison(['contourf3d_fill.png'], style='mpl20')
+def test_contourf3d_fill():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y = np.meshgrid(np.arange(-2, 2, 0.25), np.arange(-2, 2, 0.25))
+    Z = X.clip(0, 0)
+    # This produces holes in the z=0 surface that causes rendering errors if
+    # the Poly3DCollection is not aware of path code information (issue #4784)
+    Z[::5, ::5] = 0.1
+    ax.contourf(X, Y, Z, offset=0, levels=[-0.1, 0], cmap="coolwarm")
+    ax.set_xlim(-2, 2)
+    ax.set_ylim(-2, 2)
+    ax.set_zlim(-1, 1)
+
+
+@pytest.mark.parametrize('extend, levels', [['both', [2, 4, 6]],
+                                            ['min', [2, 4, 6, 8]],
+                                            ['max', [0, 2, 4, 6]]])
+@check_figures_equal()
+def test_contourf3d_extend(fig_test, fig_ref, extend, levels):
+    X, Y = np.meshgrid(np.arange(-2, 2, 0.25), np.arange(-2, 2, 0.25))
+    # Z is in the range [0, 8]
+    Z = X**2 + Y**2
+
+    # Manually set the over/under colors to be the end of the colormap
+    cmap = mpl.colormaps['viridis'].copy()
+    cmap.set_under(cmap(0))
+    cmap.set_over(cmap(255))
+    # Set vmin/max to be the min/max values plotted on the reference image
+    kwargs = {'vmin': 1, 'vmax': 7, 'cmap': cmap}
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.contourf(X, Y, Z, levels=[0, 2, 4, 6, 8], **kwargs)
+
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.contourf(X, Y, Z, levels, extend=extend, **kwargs)
+
+    for ax in [ax_ref, ax_test]:
+        ax.set_xlim(-2, 2)
+        ax.set_ylim(-2, 2)
+        ax.set_zlim(-10, 10)
+
+
+@mpl3d_image_comparison(['tricontour.png'], tol=0.02, style='mpl20')
+def test_tricontour():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+
+    np.random.seed(19680801)
+    x = np.random.rand(1000) - 0.5
+    y = np.random.rand(1000) - 0.5
+    z = -(x**2 + y**2)
+
+    ax = fig.add_subplot(1, 2, 1, projection='3d')
+    ax.tricontour(x, y, z)
+    ax = fig.add_subplot(1, 2, 2, projection='3d')
+    ax.tricontourf(x, y, z)
+
+
+def test_contour3d_1d_input():
+    # Check that 1D sequences of different length for {x, y} doesn't error
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    nx, ny = 30, 20
+    x = np.linspace(-10, 10, nx)
+    y = np.linspace(-10, 10, ny)
+    z = np.random.randint(0, 2, [ny, nx])
+    ax.contour(x, y, z, [0.5])
+
+
+@mpl3d_image_comparison(['lines3d.png'], style='mpl20')
+def test_lines3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
+    z = np.linspace(-2, 2, 100)
+    r = z ** 2 + 1
+    x = r * np.sin(theta)
+    y = r * np.cos(theta)
+    ax.plot(x, y, z)
+
+
+@check_figures_equal()
+def test_plot_scalar(fig_test, fig_ref):
+    ax1 = fig_test.add_subplot(projection='3d')
+    ax1.plot([1], [1], "o")
+    ax2 = fig_ref.add_subplot(projection='3d')
+    ax2.plot(1, 1, "o")
+
+
+def test_invalid_line_data():
+    with pytest.raises(RuntimeError, match='x must be'):
+        art3d.Line3D(0, [], [])
+    with pytest.raises(RuntimeError, match='y must be'):
+        art3d.Line3D([], 0, [])
+    with pytest.raises(RuntimeError, match='z must be'):
+        art3d.Line3D([], [], 0)
+
+    line = art3d.Line3D([], [], [])
+    with pytest.raises(RuntimeError, match='x must be'):
+        line.set_data_3d(0, [], [])
+    with pytest.raises(RuntimeError, match='y must be'):
+        line.set_data_3d([], 0, [])
+    with pytest.raises(RuntimeError, match='z must be'):
+        line.set_data_3d([], [], 0)
+
+
+@mpl3d_image_comparison(['mixedsubplot.png'], style='mpl20')
+def test_mixedsubplots():
+    def f(t):
+        return np.cos(2*np.pi*t) * np.exp(-t)
+
+    t1 = np.arange(0.0, 5.0, 0.1)
+    t2 = np.arange(0.0, 5.0, 0.02)
+
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure(figsize=plt.figaspect(2.))
+    ax = fig.add_subplot(2, 1, 1)
+    ax.plot(t1, f(t1), 'bo', t2, f(t2), 'k--', markerfacecolor='green')
+    ax.grid(True)
+
+    ax = fig.add_subplot(2, 1, 2, projection='3d')
+    X, Y = np.meshgrid(np.arange(-5, 5, 0.25), np.arange(-5, 5, 0.25))
+    R = np.hypot(X, Y)
+    Z = np.sin(R)
+
+    ax.plot_surface(X, Y, Z, rcount=40, ccount=40,
+                    linewidth=0, antialiased=False)
+
+    ax.set_zlim3d(-1, 1)
+
+
+@check_figures_equal()
+def test_tight_layout_text(fig_test, fig_ref):
+    # text is currently ignored in tight layout. So the order of text() and
+    # tight_layout() calls should not influence the result.
+    ax1 = fig_test.add_subplot(projection='3d')
+    ax1.text(.5, .5, .5, s='some string')
+    fig_test.tight_layout()
+
+    ax2 = fig_ref.add_subplot(projection='3d')
+    fig_ref.tight_layout()
+    ax2.text(.5, .5, .5, s='some string')
+
+
+@mpl3d_image_comparison(['scatter3d.png'], style='mpl20')
+def test_scatter3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.scatter(np.arange(10), np.arange(10), np.arange(10),
+               c='r', marker='o')
+    x = y = z = np.arange(10, 20)
+    ax.scatter(x, y, z, c='b', marker='^')
+    z[-1] = 0  # Check that scatter() copies the data.
+    # Ensure empty scatters do not break.
+    ax.scatter([], [], [], c='r', marker='X')
+
+
+@mpl3d_image_comparison(['scatter3d_color.png'], style='mpl20')
+def test_scatter3d_color():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    # Check that 'none' color works; these two should overlay to produce the
+    # same as setting just `color`.
+    ax.scatter(np.arange(10), np.arange(10), np.arange(10),
+               facecolor='r', edgecolor='none', marker='o')
+    ax.scatter(np.arange(10), np.arange(10), np.arange(10),
+               facecolor='none', edgecolor='r', marker='o')
+
+    ax.scatter(np.arange(10, 20), np.arange(10, 20), np.arange(10, 20),
+               color='b', marker='s')
+
+
+@mpl3d_image_comparison(['scatter3d_linewidth.png'], style='mpl20')
+def test_scatter3d_linewidth():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    # Check that array-like linewidth can be set
+    ax.scatter(np.arange(10), np.arange(10), np.arange(10),
+               marker='o', linewidth=np.arange(10))
+
+
+@check_figures_equal()
+def test_scatter3d_linewidth_modification(fig_ref, fig_test):
+    # Changing Path3DCollection linewidths with array-like post-creation
+    # should work correctly.
+    ax_test = fig_test.add_subplot(projection='3d')
+    c = ax_test.scatter(np.arange(10), np.arange(10), np.arange(10),
+                        marker='o')
+    c.set_linewidths(np.arange(10))
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.scatter(np.arange(10), np.arange(10), np.arange(10), marker='o',
+                   linewidths=np.arange(10))
+
+
+@check_figures_equal()
+def test_scatter3d_modification(fig_ref, fig_test):
+    # Changing Path3DCollection properties post-creation should work correctly.
+    ax_test = fig_test.add_subplot(projection='3d')
+    c = ax_test.scatter(np.arange(10), np.arange(10), np.arange(10),
+                        marker='o', depthshade=True)
+    c.set_facecolor('C1')
+    c.set_edgecolor('C2')
+    c.set_alpha([0.3, 0.7] * 5)
+    assert c.get_depthshade()
+    c.set_depthshade(False)
+    assert not c.get_depthshade()
+    c.set_sizes(np.full(10, 75))
+    c.set_linewidths(3)
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.scatter(np.arange(10), np.arange(10), np.arange(10), marker='o',
+                   facecolor='C1', edgecolor='C2', alpha=[0.3, 0.7] * 5,
+                   depthshade=False, s=75, linewidths=3)
+
+
+@check_figures_equal()
+def test_scatter3d_sorting(fig_ref, fig_test):
+    """Test that marker properties are correctly sorted."""
+
+    y, x = np.mgrid[:10, :10]
+    z = np.arange(x.size).reshape(x.shape)
+    depthshade = False
+
+    sizes = np.full(z.shape, 25)
+    sizes[0::2, 0::2] = 100
+    sizes[1::2, 1::2] = 100
+
+    facecolors = np.full(z.shape, 'C0')
+    facecolors[:5, :5] = 'C1'
+    facecolors[6:, :4] = 'C2'
+    facecolors[6:, 6:] = 'C3'
+
+    edgecolors = np.full(z.shape, 'C4')
+    edgecolors[1:5, 1:5] = 'C5'
+    edgecolors[5:9, 1:5] = 'C6'
+    edgecolors[5:9, 5:9] = 'C7'
+
+    linewidths = np.full(z.shape, 2)
+    linewidths[0::2, 0::2] = 5
+    linewidths[1::2, 1::2] = 5
+
+    x, y, z, sizes, facecolors, edgecolors, linewidths = (
+        a.flatten()
+        for a in [x, y, z, sizes, facecolors, edgecolors, linewidths]
+    )
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    sets = (np.unique(a) for a in [sizes, facecolors, edgecolors, linewidths])
+    for s, fc, ec, lw in itertools.product(*sets):
+        subset = (
+            (sizes != s) |
+            (facecolors != fc) |
+            (edgecolors != ec) |
+            (linewidths != lw)
+        )
+        subset = np.ma.masked_array(z, subset, dtype=float)
+
+        # When depth shading is disabled, the colors are passed through as
+        # single-item lists; this triggers single path optimization. The
+        # following reshaping is a hack to disable that, since the optimization
+        # would not occur for the full scatter which has multiple colors.
+        fc = np.repeat(fc, sum(~subset.mask))
+
+        ax_ref.scatter(x, y, subset, s=s, fc=fc, ec=ec, lw=lw, alpha=1,
+                       depthshade=depthshade)
+
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.scatter(x, y, z, s=sizes, fc=facecolors, ec=edgecolors,
+                    lw=linewidths, alpha=1, depthshade=depthshade)
+
+
+@pytest.mark.parametrize('azim', [-50, 130])  # yellow first, blue first
+@check_figures_equal()
+def test_marker_draw_order_data_reversed(fig_test, fig_ref, azim):
+    """
+    Test that the draw order does not depend on the data point order.
+
+    For the given viewing angle at azim=-50, the yellow marker should be in
+    front. For azim=130, the blue marker should be in front.
+    """
+    x = [-1, 1]
+    y = [1, -1]
+    z = [0, 0]
+    color = ['b', 'y']
+    ax = fig_test.add_subplot(projection='3d')
+    ax.scatter(x, y, z, s=3500, c=color)
+    ax.view_init(elev=0, azim=azim, roll=0)
+    ax = fig_ref.add_subplot(projection='3d')
+    ax.scatter(x[::-1], y[::-1], z[::-1], s=3500, c=color[::-1])
+    ax.view_init(elev=0, azim=azim, roll=0)
+
+
+@check_figures_equal()
+def test_marker_draw_order_view_rotated(fig_test, fig_ref):
+    """
+    Test that the draw order changes with the direction.
+
+    If we rotate *azim* by 180 degrees and exchange the colors, the plot
+    plot should look the same again.
+    """
+    azim = 130
+    x = [-1, 1]
+    y = [1, -1]
+    z = [0, 0]
+    color = ['b', 'y']
+    ax = fig_test.add_subplot(projection='3d')
+    # axis are not exactly invariant under 180 degree rotation -> deactivate
+    ax.set_axis_off()
+    ax.scatter(x, y, z, s=3500, c=color)
+    ax.view_init(elev=0, azim=azim, roll=0)
+    ax = fig_ref.add_subplot(projection='3d')
+    ax.set_axis_off()
+    ax.scatter(x, y, z, s=3500, c=color[::-1])  # color reversed
+    ax.view_init(elev=0, azim=azim - 180, roll=0)  # view rotated by 180 deg
+
+
+@mpl3d_image_comparison(['plot_3d_from_2d.png'], tol=0.019, style='mpl20')
+def test_plot_3d_from_2d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    xs = np.arange(0, 5)
+    ys = np.arange(5, 10)
+    ax.plot(xs, ys, zs=0, zdir='x')
+    ax.plot(xs, ys, zs=0, zdir='y')
+
+
+@mpl3d_image_comparison(['fill_between_quad.png'], style='mpl20')
+def test_fill_between_quad():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    theta = np.linspace(0, 2*np.pi, 50)
+
+    x1 = np.cos(theta)
+    y1 = np.sin(theta)
+    z1 = 0.1 * np.sin(6 * theta)
+
+    x2 = 0.6 * np.cos(theta)
+    y2 = 0.6 * np.sin(theta)
+    z2 = 2
+
+    where = (theta < np.pi/2) | (theta > 3*np.pi/2)
+
+    # Since none of x1 == x2, y1 == y2, or z1 == z2 is True, the fill_between
+    # mode will map to 'quad'
+    ax.fill_between(x1, y1, z1, x2, y2, z2,
+                    where=where, mode='auto', alpha=0.5, edgecolor='k')
+
+
+@mpl3d_image_comparison(['fill_between_polygon.png'], style='mpl20')
+def test_fill_between_polygon():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    theta = np.linspace(0, 2*np.pi, 50)
+
+    x1 = x2 = theta
+    y1 = y2 = 0
+    z1 = np.cos(theta)
+    z2 = z1 + 1
+
+    where = (theta < np.pi/2) | (theta > 3*np.pi/2)
+
+    # Since x1 == x2 and y1 == y2, the fill_between mode will be 'polygon'
+    ax.fill_between(x1, y1, z1, x2, y2, z2,
+                    where=where, mode='auto', edgecolor='k')
+
+
+@mpl3d_image_comparison(['surface3d.png'], style='mpl20')
+def test_surface3d():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.hypot(X, Y)
+    Z = np.sin(R)
+    surf = ax.plot_surface(X, Y, Z, rcount=40, ccount=40, cmap="coolwarm",
+                           lw=0, antialiased=False)
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_zlim(-1.01, 1.01)
+    fig.colorbar(surf, shrink=0.5, aspect=5)
+
+
+@image_comparison(['surface3d_label_offset_tick_position.png'], style='mpl20')
+def test_surface3d_label_offset_tick_position():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax = plt.figure().add_subplot(projection="3d")
+
+    x, y = np.mgrid[0:6 * np.pi:0.25, 0:4 * np.pi:0.25]
+    z = np.sqrt(np.abs(np.cos(x) + np.cos(y)))
+
+    ax.plot_surface(x * 1e5, y * 1e6, z * 1e8, cmap='autumn', cstride=2, rstride=2)
+    ax.set_xlabel("X label")
+    ax.set_ylabel("Y label")
+    ax.set_zlabel("Z label")
+
+
+@mpl3d_image_comparison(['surface3d_shaded.png'], style='mpl20')
+def test_surface3d_shaded():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X = np.arange(-5, 5, 0.25)
+    Y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(X, Y)
+    R = np.sqrt(X ** 2 + Y ** 2)
+    Z = np.sin(R)
+    ax.plot_surface(X, Y, Z, rstride=5, cstride=5,
+                    color=[0.25, 1, 0.25], lw=1, antialiased=False)
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_zlim(-1.01, 1.01)
+
+
+@mpl3d_image_comparison(['surface3d_masked.png'], style='mpl20')
+def test_surface3d_masked():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
+    y = [1, 2, 3, 4, 5, 6, 7, 8]
+
+    x, y = np.meshgrid(x, y)
+    matrix = np.array(
+        [
+            [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+            [-1, 1, 2, 3, 4, 4, 4, 3, 2, 1, 1],
+            [-1, -1., 4, 5, 6, 8, 6, 5, 4, 3, -1.],
+            [-1, -1., 7, 8, 11, 12, 11, 8, 7, -1., -1.],
+            [-1, -1., 8, 9, 10, 16, 10, 9, 10, 7, -1.],
+            [-1, -1., -1., 12, 16, 20, 16, 12, 11, -1., -1.],
+            [-1, -1., -1., -1., 22, 24, 22, 20, 18, -1., -1.],
+            [-1, -1., -1., -1., -1., 28, 26, 25, -1., -1., -1.],
+        ]
+    )
+    z = np.ma.masked_less(matrix, 0)
+    norm = mcolors.Normalize(vmax=z.max(), vmin=z.min())
+    colors = mpl.colormaps["plasma"](norm(z))
+    ax.plot_surface(x, y, z, facecolors=colors)
+    ax.view_init(30, -80, 0)
+
+
+@check_figures_equal()
+def test_plot_scatter_masks(fig_test, fig_ref):
+    x = np.linspace(0, 10, 100)
+    y = np.linspace(0, 10, 100)
+    z = np.sin(x) * np.cos(y)
+    mask = z > 0
+
+    z_masked = np.ma.array(z, mask=mask)
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.scatter(x, y, z_masked)
+    ax_test.plot(x, y, z_masked)
+
+    x[mask] = y[mask] = z[mask] = np.nan
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.scatter(x, y, z)
+    ax_ref.plot(x, y, z)
+
+
+@check_figures_equal()
+def test_plot_surface_None_arg(fig_test, fig_ref):
+    x, y = np.meshgrid(np.arange(5), np.arange(5))
+    z = x + y
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.plot_surface(x, y, z, facecolors=None)
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.plot_surface(x, y, z)
+
+
+@mpl3d_image_comparison(['surface3d_masked_strides.png'], style='mpl20')
+def test_surface3d_masked_strides():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    x, y = np.mgrid[-6:6.1:1, -6:6.1:1]
+    z = np.ma.masked_less(x * y, 2)
+
+    ax.plot_surface(x, y, z, rstride=4, cstride=4)
+    ax.view_init(60, -45, 0)
+
+
+@mpl3d_image_comparison(['text3d.png'], remove_text=False, style='mpl20')
+def test_text3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    zdirs = (None, 'x', 'y', 'z', (1, 1, 0), (1, 1, 1))
+    xs = (2, 6, 4, 9, 7, 2)
+    ys = (6, 4, 8, 7, 2, 2)
+    zs = (4, 2, 5, 6, 1, 7)
+
+    for zdir, x, y, z in zip(zdirs, xs, ys, zs):
+        label = '(%d, %d, %d), dir=%s' % (x, y, z, zdir)
+        ax.text(x, y, z, label, zdir)
+
+    ax.text(1, 1, 1, "red", color='red')
+    ax.text2D(0.05, 0.95, "2D Text", transform=ax.transAxes)
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_xlim3d(0, 10)
+    ax.set_ylim3d(0, 10)
+    ax.set_zlim3d(0, 10)
+    ax.set_xlabel('X axis')
+    ax.set_ylabel('Y axis')
+    ax.set_zlabel('Z axis')
+
+
+@check_figures_equal()
+def test_text3d_modification(fig_ref, fig_test):
+    # Modifying the Text position after the fact should work the same as
+    # setting it directly.
+    zdirs = (None, 'x', 'y', 'z', (1, 1, 0), (1, 1, 1))
+    xs = (2, 6, 4, 9, 7, 2)
+    ys = (6, 4, 8, 7, 2, 2)
+    zs = (4, 2, 5, 6, 1, 7)
+
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.set_xlim3d(0, 10)
+    ax_test.set_ylim3d(0, 10)
+    ax_test.set_zlim3d(0, 10)
+    for zdir, x, y, z in zip(zdirs, xs, ys, zs):
+        t = ax_test.text(0, 0, 0, f'({x}, {y}, {z}), dir={zdir}')
+        t.set_position_3d((x, y, z), zdir=zdir)
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.set_xlim3d(0, 10)
+    ax_ref.set_ylim3d(0, 10)
+    ax_ref.set_zlim3d(0, 10)
+    for zdir, x, y, z in zip(zdirs, xs, ys, zs):
+        ax_ref.text(x, y, z, f'({x}, {y}, {z}), dir={zdir}', zdir=zdir)
+
+
+@mpl3d_image_comparison(['trisurf3d.png'], tol=0.061, style='mpl20')
+def test_trisurf3d():
+    n_angles = 36
+    n_radii = 8
+    radii = np.linspace(0.125, 1.0, n_radii)
+    angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
+    angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+    angles[:, 1::2] += np.pi/n_angles
+
+    x = np.append(0, (radii*np.cos(angles)).flatten())
+    y = np.append(0, (radii*np.sin(angles)).flatten())
+    z = np.sin(-x*y)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.plot_trisurf(x, y, z, cmap="jet", linewidth=0.2)
+
+
+@mpl3d_image_comparison(['trisurf3d_shaded.png'], tol=0.03, style='mpl20')
+def test_trisurf3d_shaded():
+    n_angles = 36
+    n_radii = 8
+    radii = np.linspace(0.125, 1.0, n_radii)
+    angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
+    angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+    angles[:, 1::2] += np.pi/n_angles
+
+    x = np.append(0, (radii*np.cos(angles)).flatten())
+    y = np.append(0, (radii*np.sin(angles)).flatten())
+    z = np.sin(-x*y)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.plot_trisurf(x, y, z, color=[1, 0.5, 0], linewidth=0.2)
+
+
+@mpl3d_image_comparison(['wireframe3d.png'], style='mpl20')
+def test_wireframe3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.plot_wireframe(X, Y, Z, rcount=13, ccount=13)
+
+
+@mpl3d_image_comparison(['wireframe3dasymmetric.png'], style='mpl20')
+def test_wireframe3dasymmetric():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.plot_wireframe(X, Y, Z, rcount=3, ccount=13)
+
+
+@mpl3d_image_comparison(['wireframe3dzerocstride.png'], style='mpl20')
+def test_wireframe3dzerocstride():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.plot_wireframe(X, Y, Z, rcount=13, ccount=0)
+
+
+@mpl3d_image_comparison(['wireframe3dzerorstride.png'], style='mpl20')
+def test_wireframe3dzerorstride():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    ax.plot_wireframe(X, Y, Z, rstride=0, cstride=10)
+
+
+def test_wireframe3dzerostrideraises():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    with pytest.raises(ValueError):
+        ax.plot_wireframe(X, Y, Z, rstride=0, cstride=0)
+
+
+def test_mixedsamplesraises():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    X, Y, Z = axes3d.get_test_data(0.05)
+    with pytest.raises(ValueError):
+        ax.plot_wireframe(X, Y, Z, rstride=10, ccount=50)
+    with pytest.raises(ValueError):
+        ax.plot_surface(X, Y, Z, cstride=50, rcount=10)
+
+
+# remove tolerance when regenerating the test image
+@mpl3d_image_comparison(['quiver3d.png'], style='mpl20', tol=0.003)
+def test_quiver3d():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    pivots = ['tip', 'middle', 'tail']
+    colors = ['tab:blue', 'tab:orange', 'tab:green']
+    for i, (pivot, color) in enumerate(zip(pivots, colors)):
+        x, y, z = np.meshgrid([-0.5, 0.5], [-0.5, 0.5], [-0.5, 0.5])
+        u = -x
+        v = -y
+        w = -z
+        # Offset each set in z direction
+        z += 2 * i
+        ax.quiver(x, y, z, u, v, w, length=1, pivot=pivot, color=color)
+        ax.scatter(x, y, z, color=color)
+
+    ax.set_xlim(-3, 3)
+    ax.set_ylim(-3, 3)
+    ax.set_zlim(-1, 5)
+
+
+@check_figures_equal()
+def test_quiver3d_empty(fig_test, fig_ref):
+    fig_ref.add_subplot(projection='3d')
+    x = y = z = u = v = w = []
+    ax = fig_test.add_subplot(projection='3d')
+    ax.quiver(x, y, z, u, v, w, length=0.1, pivot='tip', normalize=True)
+
+
+@mpl3d_image_comparison(['quiver3d_masked.png'], style='mpl20')
+def test_quiver3d_masked():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    # Using mgrid here instead of ogrid because masked_where doesn't
+    # seem to like broadcasting very much...
+    x, y, z = np.mgrid[-1:0.8:10j, -1:0.8:10j, -1:0.6:3j]
+
+    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
+    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
+    w = (2/3)**0.5 * np.cos(np.pi * x) * np.cos(np.pi * y) * np.sin(np.pi * z)
+    u = np.ma.masked_where((-0.4 < x) & (x < 0.1), u, copy=False)
+    v = np.ma.masked_where((0.1 < y) & (y < 0.7), v, copy=False)
+
+    ax.quiver(x, y, z, u, v, w, length=0.1, pivot='tip', normalize=True)
+
+
+@mpl3d_image_comparison(['quiver3d_colorcoded.png'], style='mpl20')
+def test_quiver3d_colorcoded():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    x = y = dx = dz = np.zeros(10)
+    z = dy = np.arange(10.)
+
+    color = plt.colormaps["Reds"](dy/dy.max())
+    ax.quiver(x, y, z, dx, dy, dz, colors=color)
+    ax.set_ylim(0, 10)
+
+
+def test_patch_modification():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection="3d")
+    circle = Circle((0, 0))
+    ax.add_patch(circle)
+    art3d.patch_2d_to_3d(circle)
+    circle.set_facecolor((1.0, 0.0, 0.0, 1))
+
+    assert mcolors.same_color(circle.get_facecolor(), (1, 0, 0, 1))
+    fig.canvas.draw()
+    assert mcolors.same_color(circle.get_facecolor(), (1, 0, 0, 1))
+
+
+@check_figures_equal()
+def test_patch_collection_modification(fig_test, fig_ref):
+    # Test that modifying Patch3DCollection properties after creation works.
+    patch1 = Circle((0, 0), 0.05)
+    patch2 = Circle((0.1, 0.1), 0.03)
+    facecolors = np.array([[0., 0.5, 0., 1.], [0.5, 0., 0., 0.5]])
+    c = art3d.Patch3DCollection([patch1, patch2], linewidths=3, depthshade=True)
+
+    ax_test = fig_test.add_subplot(projection='3d')
+    ax_test.add_collection3d(c)
+    c.set_edgecolor('C2')
+    c.set_facecolor(facecolors)
+    c.set_alpha(0.7)
+    assert c.get_depthshade()
+    c.set_depthshade(False)
+    assert not c.get_depthshade()
+
+    patch1 = Circle((0, 0), 0.05)
+    patch2 = Circle((0.1, 0.1), 0.03)
+    facecolors = np.array([[0., 0.5, 0., 1.], [0.5, 0., 0., 0.5]])
+    c = art3d.Patch3DCollection([patch1, patch2], linewidths=3,
+                                edgecolor='C2', facecolor=facecolors,
+                                alpha=0.7, depthshade=False)
+
+    ax_ref = fig_ref.add_subplot(projection='3d')
+    ax_ref.add_collection3d(c)
+
+
+def test_poly3dcollection_verts_validation():
+    poly = [[0, 0, 1], [0, 1, 1], [0, 1, 0], [0, 0, 0]]
+    with pytest.raises(ValueError, match=r'list of \(N, 3\) array-like'):
+        art3d.Poly3DCollection(poly)  # should be Poly3DCollection([poly])
+
+    poly = np.array(poly, dtype=float)
+    with pytest.raises(ValueError, match=r'shape \(M, N, 3\)'):
+        art3d.Poly3DCollection(poly)  # should be Poly3DCollection([poly])
+
+
+@mpl3d_image_comparison(['poly3dcollection_closed.png'], style='mpl20')
+def test_poly3dcollection_closed():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    poly1 = np.array([[0, 0, 1], [0, 1, 1], [0, 0, 0]], float)
+    poly2 = np.array([[0, 1, 1], [1, 1, 1], [1, 1, 0]], float)
+    c1 = art3d.Poly3DCollection([poly1], linewidths=3, edgecolor='k',
+                                facecolor=(0.5, 0.5, 1, 0.5), closed=True)
+    c2 = art3d.Poly3DCollection([poly2], linewidths=3, edgecolor='k',
+                                facecolor=(1, 0.5, 0.5, 0.5), closed=False)
+    ax.add_collection3d(c1, autolim=False)
+    ax.add_collection3d(c2, autolim=False)
+
+
+def test_poly_collection_2d_to_3d_empty():
+    poly = PolyCollection([])
+    art3d.poly_collection_2d_to_3d(poly)
+    assert isinstance(poly, art3d.Poly3DCollection)
+    assert poly.get_paths() == []
+
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    ax.add_artist(poly)
+    minz = poly.do_3d_projection()
+    assert np.isnan(minz)
+
+    # Ensure drawing actually works.
+    fig.canvas.draw()
+
+
+@mpl3d_image_comparison(['poly3dcollection_alpha.png'], style='mpl20')
+def test_poly3dcollection_alpha():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    poly1 = np.array([[0, 0, 1], [0, 1, 1], [0, 0, 0]], float)
+    poly2 = np.array([[0, 1, 1], [1, 1, 1], [1, 1, 0]], float)
+    c1 = art3d.Poly3DCollection([poly1], linewidths=3, edgecolor='k',
+                                facecolor=(0.5, 0.5, 1), closed=True)
+    c1.set_alpha(0.5)
+    c2 = art3d.Poly3DCollection([poly2], linewidths=3, closed=False)
+    # Post-creation modification should work.
+    c2.set_facecolor((1, 0.5, 0.5))
+    c2.set_edgecolor('k')
+    c2.set_alpha(0.5)
+    ax.add_collection3d(c1, autolim=False)
+    ax.add_collection3d(c2, autolim=False)
+
+
+@mpl3d_image_comparison(['add_collection3d_zs_array.png'], style='mpl20')
+def test_add_collection3d_zs_array():
+    theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
+    z = np.linspace(-2, 2, 100)
+    r = z**2 + 1
+    x = r * np.sin(theta)
+    y = r * np.cos(theta)
+
+    points = np.column_stack([x, y, z]).reshape(-1, 1, 3)
+    segments = np.concatenate([points[:-1], points[1:]], axis=1)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    norm = plt.Normalize(0, 2*np.pi)
+    # 2D LineCollection from x & y values
+    lc = LineCollection(segments[:, :, :2], cmap='twilight', norm=norm)
+    lc.set_array(np.mod(theta, 2*np.pi))
+    # Add 2D collection at z values to ax
+    line = ax.add_collection3d(lc, zs=segments[:, :, 2])
+
+    assert line is not None
+
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_xlim(-5, 5)
+    ax.set_ylim(-4, 6)
+    ax.set_zlim(-2, 2)
+
+
+@mpl3d_image_comparison(['add_collection3d_zs_scalar.png'], style='mpl20')
+def test_add_collection3d_zs_scalar():
+    theta = np.linspace(0, 2 * np.pi, 100)
+    z = 1
+    r = z**2 + 1
+    x = r * np.sin(theta)
+    y = r * np.cos(theta)
+
+    points = np.column_stack([x, y]).reshape(-1, 1, 2)
+    segments = np.concatenate([points[:-1], points[1:]], axis=1)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    norm = plt.Normalize(0, 2*np.pi)
+    lc = LineCollection(segments, cmap='twilight', norm=norm)
+    lc.set_array(theta)
+    line = ax.add_collection3d(lc, zs=z)
+
+    assert line is not None
+
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_xlim(-5, 5)
+    ax.set_ylim(-4, 6)
+    ax.set_zlim(0, 2)
+
+
+def test_line3dCollection_autoscaling():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    lines = [[(0, 0, 0), (1, 4, 2)],
+             [(1, 1, 3), (2, 0, 2)],
+             [(1, 0, 4), (1, 4, 5)]]
+
+    lc = art3d.Line3DCollection(lines)
+    ax.add_collection3d(lc)
+    assert np.allclose(ax.get_xlim3d(), (-0.041666666666666664, 2.0416666666666665))
+    assert np.allclose(ax.get_ylim3d(), (-0.08333333333333333, 4.083333333333333))
+    assert np.allclose(ax.get_zlim3d(), (-0.10416666666666666, 5.104166666666667))
+
+
+def test_poly3dCollection_autoscaling():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    poly = np.array([[0, 0, 0], [1, 1, 3], [1, 0, 4]])
+    col = art3d.Poly3DCollection([poly])
+    ax.add_collection3d(col)
+    assert np.allclose(ax.get_xlim3d(), (-0.020833333333333332, 1.0208333333333333))
+    assert np.allclose(ax.get_ylim3d(), (-0.020833333333333332, 1.0208333333333333))
+    assert np.allclose(ax.get_zlim3d(), (-0.0833333333333333, 4.083333333333333))
+
+
+@mpl3d_image_comparison(['axes3d_labelpad.png'],
+                        remove_text=False, style='mpl20')
+def test_axes3d_labelpad():
+    fig = plt.figure()
+    ax = fig.add_axes(Axes3D(fig))
+    # labelpad respects rcParams
+    assert ax.xaxis.labelpad == mpl.rcParams['axes.labelpad']
+    # labelpad can be set in set_label
+    ax.set_xlabel('X LABEL', labelpad=10)
+    assert ax.xaxis.labelpad == 10
+    ax.set_ylabel('Y LABEL')
+    ax.set_zlabel('Z LABEL', labelpad=20)
+    assert ax.zaxis.labelpad == 20
+    assert ax.get_zlabel() == 'Z LABEL'
+    # or manually
+    ax.yaxis.labelpad = 20
+    ax.zaxis.labelpad = -40
+
+    # Tick labels also respect tick.pad (also from rcParams)
+    for i, tick in enumerate(ax.yaxis.get_major_ticks()):
+        tick.set_pad(tick.get_pad() + 5 - i * 5)
+
+
+@mpl3d_image_comparison(['axes3d_cla.png'], remove_text=False, style='mpl20')
+def test_axes3d_cla():
+    # fixed in pull request 4553
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1, projection='3d')
+    ax.set_axis_off()
+    ax.cla()  # make sure the axis displayed is 3D (not 2D)
+
+
+@mpl3d_image_comparison(['axes3d_rotated.png'],
+                        remove_text=False, style='mpl20')
+def test_axes3d_rotated():
+    fig = plt.figure()
+    ax = fig.add_subplot(1, 1, 1, projection='3d')
+    ax.view_init(90, 45, 0)  # look down, rotated. Should be square
+
+
+def test_plotsurface_1d_raises():
+    x = np.linspace(0.5, 10, num=100)
+    y = np.linspace(0.5, 10, num=100)
+    X, Y = np.meshgrid(x, y)
+    z = np.random.randn(100)
+
+    fig = plt.figure(figsize=(14, 6))
+    ax = fig.add_subplot(1, 2, 1, projection='3d')
+    with pytest.raises(ValueError):
+        ax.plot_surface(X, Y, z)
+
+
+def _test_proj_make_M():
+    # eye point
+    E = np.array([1000, -1000, 2000])
+    R = np.array([100, 100, 100])
+    V = np.array([0, 0, 1])
+    roll = 0
+    u, v, w = proj3d._view_axes(E, R, V, roll)
+    viewM = proj3d._view_transformation_uvw(u, v, w, E)
+    perspM = proj3d._persp_transformation(100, -100, 1)
+    M = np.dot(perspM, viewM)
+    return M
+
+
+def test_proj_transform():
+    M = _test_proj_make_M()
+    invM = np.linalg.inv(M)
+
+    xs = np.array([0, 1, 1, 0, 0, 0, 1, 1, 0, 0]) * 300.0
+    ys = np.array([0, 0, 1, 1, 0, 0, 0, 1, 1, 0]) * 300.0
+    zs = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) * 300.0
+
+    txs, tys, tzs = proj3d.proj_transform(xs, ys, zs, M)
+    ixs, iys, izs = proj3d.inv_transform(txs, tys, tzs, invM)
+
+    np.testing.assert_almost_equal(ixs, xs)
+    np.testing.assert_almost_equal(iys, ys)
+    np.testing.assert_almost_equal(izs, zs)
+
+
+def _test_proj_draw_axes(M, s=1, *args, **kwargs):
+    xs = [0, s, 0, 0]
+    ys = [0, 0, s, 0]
+    zs = [0, 0, 0, s]
+    txs, tys, tzs = proj3d.proj_transform(xs, ys, zs, M)
+    o, ax, ay, az = zip(txs, tys)
+    lines = [(o, ax), (o, ay), (o, az)]
+
+    fig, ax = plt.subplots(*args, **kwargs)
+    linec = LineCollection(lines)
+    ax.add_collection(linec)
+    for x, y, t in zip(txs, tys, ['o', 'x', 'y', 'z']):
+        ax.text(x, y, t)
+
+    return fig, ax
+
+
+@mpl3d_image_comparison(['proj3d_axes_cube.png'], style='mpl20')
+def test_proj_axes_cube():
+    M = _test_proj_make_M()
+
+    ts = '0 1 2 3 0 4 5 6 7 4'.split()
+    xs = np.array([0, 1, 1, 0, 0, 0, 1, 1, 0, 0]) * 300.0
+    ys = np.array([0, 0, 1, 1, 0, 0, 0, 1, 1, 0]) * 300.0
+    zs = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) * 300.0
+
+    txs, tys, tzs = proj3d.proj_transform(xs, ys, zs, M)
+
+    fig, ax = _test_proj_draw_axes(M, s=400)
+
+    ax.scatter(txs, tys, c=tzs)
+    ax.plot(txs, tys, c='r')
+    for x, y, t in zip(txs, tys, ts):
+        ax.text(x, y, t)
+
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_xlim(-0.2, 0.2)
+    ax.set_ylim(-0.2, 0.2)
+
+
+@mpl3d_image_comparison(['proj3d_axes_cube_ortho.png'], style='mpl20')
+def test_proj_axes_cube_ortho():
+    E = np.array([200, 100, 100])
+    R = np.array([0, 0, 0])
+    V = np.array([0, 0, 1])
+    roll = 0
+    u, v, w = proj3d._view_axes(E, R, V, roll)
+    viewM = proj3d._view_transformation_uvw(u, v, w, E)
+    orthoM = proj3d._ortho_transformation(-1, 1)
+    M = np.dot(orthoM, viewM)
+
+    ts = '0 1 2 3 0 4 5 6 7 4'.split()
+    xs = np.array([0, 1, 1, 0, 0, 0, 1, 1, 0, 0]) * 100
+    ys = np.array([0, 0, 1, 1, 0, 0, 0, 1, 1, 0]) * 100
+    zs = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) * 100
+
+    txs, tys, tzs = proj3d.proj_transform(xs, ys, zs, M)
+
+    fig, ax = _test_proj_draw_axes(M, s=150)
+
+    ax.scatter(txs, tys, s=300-tzs)
+    ax.plot(txs, tys, c='r')
+    for x, y, t in zip(txs, tys, ts):
+        ax.text(x, y, t)
+
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    ax.set_xlim(-200, 200)
+    ax.set_ylim(-200, 200)
+
+
+def test_world():
+    xmin, xmax = 100, 120
+    ymin, ymax = -100, 100
+    zmin, zmax = 0.1, 0.2
+    M = proj3d.world_transformation(xmin, xmax, ymin, ymax, zmin, zmax)
+    np.testing.assert_allclose(M,
+                               [[5e-2, 0, 0, -5],
+                                [0, 5e-3, 0, 5e-1],
+                                [0, 0, 1e1, -1],
+                                [0, 0, 0, 1]])
+
+
+def test_autoscale():
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    assert ax.get_zscale() == 'linear'
+    ax._view_margin = 0
+    ax.margins(x=0, y=.1, z=.2)
+    ax.plot([0, 1], [0, 1], [0, 1])
+    assert ax.get_w_lims() == (0, 1, -.1, 1.1, -.2, 1.2)
+    ax.autoscale(False)
+    ax.set_autoscalez_on(True)
+    ax.plot([0, 2], [0, 2], [0, 2])
+    assert ax.get_w_lims() == (0, 1, -.1, 1.1, -.4, 2.4)
+    ax.autoscale(axis='x')
+    ax.plot([0, 2], [0, 2], [0, 2])
+    assert ax.get_w_lims() == (0, 2, -.1, 1.1, -.4, 2.4)
+
+
+@pytest.mark.parametrize('axis', ('x', 'y', 'z'))
+@pytest.mark.parametrize('auto', (True, False, None))
+def test_unautoscale(axis, auto):
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    x = np.arange(100)
+    y = np.linspace(-0.1, 0.1, 100)
+    ax.scatter(x, y)
+
+    get_autoscale_on = getattr(ax, f'get_autoscale{axis}_on')
+    set_lim = getattr(ax, f'set_{axis}lim')
+    get_lim = getattr(ax, f'get_{axis}lim')
+
+    post_auto = get_autoscale_on() if auto is None else auto
+
+    set_lim((-0.5, 0.5), auto=auto)
+    assert post_auto == get_autoscale_on()
+    fig.canvas.draw()
+    np.testing.assert_array_equal(get_lim(), (-0.5, 0.5))
+
+
+@check_figures_equal()
+def test_culling(fig_test, fig_ref):
+    xmins = (-100, -50)
+    for fig, xmin in zip((fig_test, fig_ref), xmins):
+        ax = fig.add_subplot(projection='3d')
+        n = abs(xmin) + 1
+        xs = np.linspace(0, xmin, n)
+        ys = np.ones(n)
+        zs = np.zeros(n)
+        ax.plot(xs, ys, zs, 'k')
+
+        ax.set(xlim=(-5, 5), ylim=(-5, 5), zlim=(-5, 5))
+        ax.view_init(5, 180, 0)
+
+
+def test_axes3d_focal_length_checks():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    with pytest.raises(ValueError):
+        ax.set_proj_type('persp', focal_length=0)
+    with pytest.raises(ValueError):
+        ax.set_proj_type('ortho', focal_length=1)
+
+
+@mpl3d_image_comparison(['axes3d_focal_length.png'],
+                        remove_text=False, style='mpl20')
+def test_axes3d_focal_length():
+    fig, axs = plt.subplots(1, 2, subplot_kw={'projection': '3d'})
+    axs[0].set_proj_type('persp', focal_length=np.inf)
+    axs[1].set_proj_type('persp', focal_length=0.15)
+
+
+@mpl3d_image_comparison(['axes3d_ortho.png'], remove_text=False, style='mpl20')
+def test_axes3d_ortho():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_proj_type('ortho')
+
+
+@mpl3d_image_comparison(['axes3d_isometric.png'], style='mpl20')
+def test_axes3d_isometric():
+    from itertools import combinations, product
+    fig, ax = plt.subplots(subplot_kw=dict(
+        projection='3d',
+        proj_type='ortho',
+        box_aspect=(4, 4, 4)
+    ))
+    r = (-1, 1)  # stackoverflow.com/a/11156353
+    for s, e in combinations(np.array(list(product(r, r, r))), 2):
+        if abs(s - e).sum() == r[1] - r[0]:
+            ax.plot3D(*zip(s, e), c='k')
+    ax.view_init(elev=np.degrees(np.arctan(1. / np.sqrt(2))), azim=-45, roll=0)
+    ax.grid(True)
+
+
+@check_figures_equal()
+def test_axlim_clip(fig_test, fig_ref):
+    # With axlim clipping
+    ax = fig_test.add_subplot(projection="3d")
+    x = np.linspace(0, 1, 11)
+    y = np.linspace(0, 1, 11)
+    X, Y = np.meshgrid(x, y)
+    Z = X + Y
+    ax.plot_surface(X, Y, Z, facecolor='C1', edgecolors=None,
+                    rcount=50, ccount=50, axlim_clip=True)
+    # This ax.plot is to cover the extra surface edge which is not clipped out
+    ax.plot([0.5, 0.5], [0, 1], [0.5, 1.5],
+            color='k', linewidth=3, zorder=5, axlim_clip=True)
+    ax.scatter(X.ravel(), Y.ravel(), Z.ravel() + 1, axlim_clip=True)
+    ax.quiver(X.ravel(), Y.ravel(), Z.ravel() + 2,
+              0*X.ravel(), 0*Y.ravel(), 0*Z.ravel() + 1,
+              arrow_length_ratio=0, axlim_clip=True)
+    ax.plot(X[0], Y[0], Z[0] + 3, color='C2', axlim_clip=True)
+    ax.text(1.1, 0.5, 4, 'test', axlim_clip=True)  # won't be visible
+    ax.set(xlim=(0, 0.5), ylim=(0, 1), zlim=(0, 5))
+
+    # With manual clipping
+    ax = fig_ref.add_subplot(projection="3d")
+    idx = (X <= 0.5)
+    X = X[idx].reshape(11, 6)
+    Y = Y[idx].reshape(11, 6)
+    Z = Z[idx].reshape(11, 6)
+    ax.plot_surface(X, Y, Z, facecolor='C1', edgecolors=None,
+                    rcount=50, ccount=50, axlim_clip=False)
+    ax.plot([0.5, 0.5], [0, 1], [0.5, 1.5],
+            color='k', linewidth=3, zorder=5, axlim_clip=False)
+    ax.scatter(X.ravel(), Y.ravel(), Z.ravel() + 1, axlim_clip=False)
+    ax.quiver(X.ravel(), Y.ravel(), Z.ravel() + 2,
+              0*X.ravel(), 0*Y.ravel(), 0*Z.ravel() + 1,
+              arrow_length_ratio=0, axlim_clip=False)
+    ax.plot(X[0], Y[0], Z[0] + 3, color='C2', axlim_clip=False)
+    ax.set(xlim=(0, 0.5), ylim=(0, 1), zlim=(0, 5))
+
+
+@pytest.mark.parametrize('value', [np.inf, np.nan])
+@pytest.mark.parametrize(('setter', 'side'), [
+    ('set_xlim3d', 'left'),
+    ('set_xlim3d', 'right'),
+    ('set_ylim3d', 'bottom'),
+    ('set_ylim3d', 'top'),
+    ('set_zlim3d', 'bottom'),
+    ('set_zlim3d', 'top'),
+])
+def test_invalid_axes_limits(setter, side, value):
+    limit = {side: value}
+    fig = plt.figure()
+    obj = fig.add_subplot(projection='3d')
+    with pytest.raises(ValueError):
+        getattr(obj, setter)(**limit)
+
+
+class TestVoxels:
+    @mpl3d_image_comparison(['voxels-simple.png'], style='mpl20')
+    def test_simple(self):
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        x, y, z = np.indices((5, 4, 3))
+        voxels = (x == y) | (y == z)
+        ax.voxels(voxels)
+
+    @mpl3d_image_comparison(['voxels-edge-style.png'], style='mpl20')
+    def test_edge_style(self):
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        x, y, z = np.indices((5, 5, 4))
+        voxels = ((x - 2)**2 + (y - 2)**2 + (z-1.5)**2) < 2.2**2
+        v = ax.voxels(voxels, linewidths=3, edgecolor='C1')
+
+        # change the edge color of one voxel
+        v[max(v.keys())].set_edgecolor('C2')
+
+    @mpl3d_image_comparison(['voxels-named-colors.png'], style='mpl20')
+    def test_named_colors(self):
+        """Test with colors set to a 3D object array of strings."""
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        x, y, z = np.indices((10, 10, 10))
+        voxels = (x == y) | (y == z)
+        voxels = voxels & ~(x * y * z < 1)
+        colors = np.full((10, 10, 10), 'C0', dtype=np.object_)
+        colors[(x < 5) & (y < 5)] = '0.25'
+        colors[(x + z) < 10] = 'cyan'
+        ax.voxels(voxels, facecolors=colors)
+
+    @mpl3d_image_comparison(['voxels-rgb-data.png'], style='mpl20')
+    def test_rgb_data(self):
+        """Test with colors set to a 4d float array of rgb data."""
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        x, y, z = np.indices((10, 10, 10))
+        voxels = (x == y) | (y == z)
+        colors = np.zeros((10, 10, 10, 3))
+        colors[..., 0] = x / 9
+        colors[..., 1] = y / 9
+        colors[..., 2] = z / 9
+        ax.voxels(voxels, facecolors=colors)
+
+    @mpl3d_image_comparison(['voxels-alpha.png'], style='mpl20')
+    def test_alpha(self):
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        x, y, z = np.indices((10, 10, 10))
+        v1 = x == y
+        v2 = np.abs(x - y) < 2
+        voxels = v1 | v2
+        colors = np.zeros((10, 10, 10, 4))
+        colors[v2] = [1, 0, 0, 0.5]
+        colors[v1] = [0, 1, 0, 0.5]
+        v = ax.voxels(voxels, facecolors=colors)
+
+        assert type(v) is dict
+        for coord, poly in v.items():
+            assert voxels[coord], "faces returned for absent voxel"
+            assert isinstance(poly, art3d.Poly3DCollection)
+
+    @mpl3d_image_comparison(['voxels-xyz.png'],
+                            tol=0.01, remove_text=False, style='mpl20')
+    def test_xyz(self):
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        def midpoints(x):
+            sl = ()
+            for i in range(x.ndim):
+                x = (x[sl + np.index_exp[:-1]] +
+                     x[sl + np.index_exp[1:]]) / 2.0
+                sl += np.index_exp[:]
+            return x
+
+        # prepare some coordinates, and attach rgb values to each
+        r, g, b = np.indices((17, 17, 17)) / 16.0
+        rc = midpoints(r)
+        gc = midpoints(g)
+        bc = midpoints(b)
+
+        # define a sphere about [0.5, 0.5, 0.5]
+        sphere = (rc - 0.5)**2 + (gc - 0.5)**2 + (bc - 0.5)**2 < 0.5**2
+
+        # combine the color components
+        colors = np.zeros(sphere.shape + (3,))
+        colors[..., 0] = rc
+        colors[..., 1] = gc
+        colors[..., 2] = bc
+
+        # and plot everything
+        ax.voxels(r, g, b, sphere,
+                  facecolors=colors,
+                  edgecolors=np.clip(2*colors - 0.5, 0, 1),  # brighter
+                  linewidth=0.5)
+
+    def test_calling_conventions(self):
+        x, y, z = np.indices((3, 4, 5))
+        filled = np.ones((2, 3, 4))
+
+        fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+
+        # all the valid calling conventions
+        for kw in (dict(), dict(edgecolor='k')):
+            ax.voxels(filled, **kw)
+            ax.voxels(filled=filled, **kw)
+            ax.voxels(x, y, z, filled, **kw)
+            ax.voxels(x, y, z, filled=filled, **kw)
+
+        # duplicate argument
+        with pytest.raises(TypeError, match='voxels'):
+            ax.voxels(x, y, z, filled, filled=filled)
+        # missing arguments
+        with pytest.raises(TypeError, match='voxels'):
+            ax.voxels(x, y)
+        # x, y, z are positional only - this passes them on as attributes of
+        # Poly3DCollection
+        with pytest.raises(AttributeError, match="keyword argument 'x'") as exec_info:
+            ax.voxels(filled=filled, x=x, y=y, z=z)
+        assert exec_info.value.name == 'x'
+
+
+def test_line3d_set_get_data_3d():
+    x, y, z = [0, 1], [2, 3], [4, 5]
+    x2, y2, z2 = [6, 7], [8, 9], [10, 11]
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    lines = ax.plot(x, y, z)
+    line = lines[0]
+    np.testing.assert_array_equal((x, y, z), line.get_data_3d())
+    line.set_data_3d(x2, y2, z2)
+    np.testing.assert_array_equal((x2, y2, z2), line.get_data_3d())
+    line.set_xdata(x)
+    line.set_ydata(y)
+    line.set_3d_properties(zs=z, zdir='z')
+    np.testing.assert_array_equal((x, y, z), line.get_data_3d())
+    line.set_3d_properties(zs=0, zdir='z')
+    np.testing.assert_array_equal((x, y, np.zeros_like(z)), line.get_data_3d())
+
+
+@check_figures_equal()
+def test_inverted(fig_test, fig_ref):
+    # Plot then invert.
+    ax = fig_test.add_subplot(projection="3d")
+    ax.plot([1, 1, 10, 10], [1, 10, 10, 10], [1, 1, 1, 10])
+    ax.invert_yaxis()
+    # Invert then plot.
+    ax = fig_ref.add_subplot(projection="3d")
+    ax.invert_yaxis()
+    ax.plot([1, 1, 10, 10], [1, 10, 10, 10], [1, 1, 1, 10])
+
+
+def test_inverted_cla():
+    # GitHub PR #5450. Setting autoscale should reset
+    # axes to be non-inverted.
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    # 1. test that a new axis is not inverted per default
+    assert not ax.xaxis_inverted()
+    assert not ax.yaxis_inverted()
+    assert not ax.zaxis_inverted()
+    ax.set_xlim(1, 0)
+    ax.set_ylim(1, 0)
+    ax.set_zlim(1, 0)
+    assert ax.xaxis_inverted()
+    assert ax.yaxis_inverted()
+    assert ax.zaxis_inverted()
+    ax.cla()
+    assert not ax.xaxis_inverted()
+    assert not ax.yaxis_inverted()
+    assert not ax.zaxis_inverted()
+
+
+def test_ax3d_tickcolour():
+    fig = plt.figure()
+    ax = Axes3D(fig)
+
+    ax.tick_params(axis='x', colors='red')
+    ax.tick_params(axis='y', colors='red')
+    ax.tick_params(axis='z', colors='red')
+    fig.canvas.draw()
+
+    for tick in ax.xaxis.get_major_ticks():
+        assert tick.tick1line._color == 'red'
+    for tick in ax.yaxis.get_major_ticks():
+        assert tick.tick1line._color == 'red'
+    for tick in ax.zaxis.get_major_ticks():
+        assert tick.tick1line._color == 'red'
+
+
+@check_figures_equal()
+def test_ticklabel_format(fig_test, fig_ref):
+    axs = fig_test.subplots(4, 5, subplot_kw={"projection": "3d"})
+    for ax in axs.flat:
+        ax.set_xlim(1e7, 1e7 + 10)
+    for row, name in zip(axs, ["x", "y", "z", "both"]):
+        row[0].ticklabel_format(
+            axis=name, style="plain")
+        row[1].ticklabel_format(
+            axis=name, scilimits=(-2, 2))
+        row[2].ticklabel_format(
+            axis=name, useOffset=not mpl.rcParams["axes.formatter.useoffset"])
+        row[3].ticklabel_format(
+            axis=name, useLocale=not mpl.rcParams["axes.formatter.use_locale"])
+        row[4].ticklabel_format(
+            axis=name,
+            useMathText=not mpl.rcParams["axes.formatter.use_mathtext"])
+
+    def get_formatters(ax, names):
+        return [getattr(ax, name).get_major_formatter() for name in names]
+
+    axs = fig_ref.subplots(4, 5, subplot_kw={"projection": "3d"})
+    for ax in axs.flat:
+        ax.set_xlim(1e7, 1e7 + 10)
+    for row, names in zip(
+            axs, [["xaxis"], ["yaxis"], ["zaxis"], ["xaxis", "yaxis", "zaxis"]]
+    ):
+        for fmt in get_formatters(row[0], names):
+            fmt.set_scientific(False)
+        for fmt in get_formatters(row[1], names):
+            fmt.set_powerlimits((-2, 2))
+        for fmt in get_formatters(row[2], names):
+            fmt.set_useOffset(not mpl.rcParams["axes.formatter.useoffset"])
+        for fmt in get_formatters(row[3], names):
+            fmt.set_useLocale(not mpl.rcParams["axes.formatter.use_locale"])
+        for fmt in get_formatters(row[4], names):
+            fmt.set_useMathText(
+                not mpl.rcParams["axes.formatter.use_mathtext"])
+
+
+@check_figures_equal()
+def test_quiver3D_smoke(fig_test, fig_ref):
+    pivot = "middle"
+    # Make the grid
+    x, y, z = np.meshgrid(
+        np.arange(-0.8, 1, 0.2),
+        np.arange(-0.8, 1, 0.2),
+        np.arange(-0.8, 1, 0.8)
+    )
+    u = v = w = np.ones_like(x)
+
+    for fig, length in zip((fig_ref, fig_test), (1, 1.0)):
+        ax = fig.add_subplot(projection="3d")
+        ax.quiver(x, y, z, u, v, w, length=length, pivot=pivot)
+
+
+@image_comparison(["minor_ticks.png"], style="mpl20")
+def test_minor_ticks():
+    ax = plt.figure().add_subplot(projection="3d")
+    ax.set_xticks([0.25], minor=True)
+    ax.set_xticklabels(["quarter"], minor=True)
+    ax.set_yticks([0.33], minor=True)
+    ax.set_yticklabels(["third"], minor=True)
+    ax.set_zticks([0.50], minor=True)
+    ax.set_zticklabels(["half"], minor=True)
+
+
+# remove tolerance when regenerating the test image
+@mpl3d_image_comparison(['errorbar3d_errorevery.png'], style='mpl20', tol=0.003)
+def test_errorbar3d_errorevery():
+    """Tests errorevery functionality for 3D errorbars."""
+    t = np.arange(0, 2*np.pi+.1, 0.01)
+    x, y, z = np.sin(t), np.cos(3*t), np.sin(5*t)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    estep = 15
+    i = np.arange(t.size)
+    zuplims = (i % estep == 0) & (i // estep % 3 == 0)
+    zlolims = (i % estep == 0) & (i // estep % 3 == 2)
+
+    ax.errorbar(x, y, z, 0.2, zuplims=zuplims, zlolims=zlolims,
+                errorevery=estep)
+
+
+@mpl3d_image_comparison(['errorbar3d.png'], style='mpl20',
+                        tol=0 if platform.machine() == 'x86_64' else 0.02)
+def test_errorbar3d():
+    """Tests limits, color styling, and legend for 3D errorbars."""
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    d = [1, 2, 3, 4, 5]
+    e = [.5, .5, .5, .5, .5]
+    ax.errorbar(x=d, y=d, z=d, xerr=e, yerr=e, zerr=e, capsize=3,
+                zuplims=[False, True, False, True, True],
+                zlolims=[True, False, False, True, False],
+                yuplims=True,
+                ecolor='purple', label='Error lines')
+    ax.legend()
+
+
+@image_comparison(['stem3d.png'], style='mpl20', tol=0.009)
+def test_stem3d():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig, axs = plt.subplots(2, 3, figsize=(8, 6),
+                            constrained_layout=True,
+                            subplot_kw={'projection': '3d'})
+
+    theta = np.linspace(0, 2*np.pi)
+    x = np.cos(theta - np.pi/2)
+    y = np.sin(theta - np.pi/2)
+    z = theta
+
+    for ax, zdir in zip(axs[0], ['x', 'y', 'z']):
+        ax.stem(x, y, z, orientation=zdir)
+        ax.set_title(f'orientation={zdir}')
+
+    x = np.linspace(-np.pi/2, np.pi/2, 20)
+    y = np.ones_like(x)
+    z = np.cos(x)
+
+    for ax, zdir in zip(axs[1], ['x', 'y', 'z']):
+        markerline, stemlines, baseline = ax.stem(
+            x, y, z,
+            linefmt='C4-.', markerfmt='C1D', basefmt='C2',
+            orientation=zdir)
+        ax.set_title(f'orientation={zdir}')
+        markerline.set(markerfacecolor='none', markeredgewidth=2)
+        baseline.set_linewidth(3)
+
+
+@image_comparison(["equal_box_aspect.png"], style="mpl20")
+def test_equal_box_aspect():
+    from itertools import product, combinations
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection="3d")
+
+    # Make data
+    u = np.linspace(0, 2 * np.pi, 100)
+    v = np.linspace(0, np.pi, 100)
+    x = np.outer(np.cos(u), np.sin(v))
+    y = np.outer(np.sin(u), np.sin(v))
+    z = np.outer(np.ones_like(u), np.cos(v))
+
+    # Plot the surface
+    ax.plot_surface(x, y, z)
+
+    # draw cube
+    r = [-1, 1]
+    for s, e in combinations(np.array(list(product(r, r, r))), 2):
+        if np.sum(np.abs(s - e)) == r[1] - r[0]:
+            ax.plot3D(*zip(s, e), color="b")
+
+    # Make axes limits
+    xyzlim = np.column_stack(
+        [ax.get_xlim3d(), ax.get_ylim3d(), ax.get_zlim3d()]
+    )
+    XYZlim = [min(xyzlim[0]), max(xyzlim[1])]
+    ax.set_xlim3d(XYZlim)
+    ax.set_ylim3d(XYZlim)
+    ax.set_zlim3d(XYZlim)
+    ax.axis('off')
+    ax.set_box_aspect((1, 1, 1))
+
+    with pytest.raises(ValueError, match="Argument zoom ="):
+        ax.set_box_aspect((1, 1, 1), zoom=-1)
+
+
+def test_colorbar_pos():
+    num_plots = 2
+    fig, axs = plt.subplots(1, num_plots, figsize=(4, 5),
+                            constrained_layout=True,
+                            subplot_kw={'projection': '3d'})
+    for ax in axs:
+        p_tri = ax.plot_trisurf(np.random.randn(5), np.random.randn(5),
+                                np.random.randn(5))
+
+    cbar = plt.colorbar(p_tri, ax=axs, orientation='horizontal')
+
+    fig.canvas.draw()
+    # check that actually on the bottom
+    assert cbar.ax.get_position().extents[1] < 0.2
+
+
+def test_inverted_zaxis():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.set_zlim(0, 1)
+    assert not ax.zaxis_inverted()
+    assert ax.get_zlim() == (0, 1)
+    assert ax.get_zbound() == (0, 1)
+
+    # Change bound
+    ax.set_zbound((0, 2))
+    assert not ax.zaxis_inverted()
+    assert ax.get_zlim() == (0, 2)
+    assert ax.get_zbound() == (0, 2)
+
+    # Change invert
+    ax.invert_zaxis()
+    assert ax.zaxis_inverted()
+    assert ax.get_zlim() == (2, 0)
+    assert ax.get_zbound() == (0, 2)
+
+    # Set upper bound
+    ax.set_zbound(upper=1)
+    assert ax.zaxis_inverted()
+    assert ax.get_zlim() == (1, 0)
+    assert ax.get_zbound() == (0, 1)
+
+    # Set lower bound
+    ax.set_zbound(lower=2)
+    assert ax.zaxis_inverted()
+    assert ax.get_zlim() == (2, 1)
+    assert ax.get_zbound() == (1, 2)
+
+
+def test_set_zlim():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    assert np.allclose(ax.get_zlim(), (-1/48, 49/48))
+    ax.set_zlim(zmax=2)
+    assert np.allclose(ax.get_zlim(), (-1/48, 2))
+    ax.set_zlim(zmin=1)
+    assert ax.get_zlim() == (1, 2)
+
+    with pytest.raises(
+            TypeError, match="Cannot pass both 'lower' and 'min'"):
+        ax.set_zlim(bottom=0, zmin=1)
+    with pytest.raises(
+            TypeError, match="Cannot pass both 'upper' and 'max'"):
+        ax.set_zlim(top=0, zmax=1)
+
+
+@check_figures_equal()
+def test_shared_view(fig_test, fig_ref):
+    elev, azim, roll = 5, 20, 30
+    ax1 = fig_test.add_subplot(131, projection="3d")
+    ax2 = fig_test.add_subplot(132, projection="3d", shareview=ax1)
+    ax3 = fig_test.add_subplot(133, projection="3d")
+    ax3.shareview(ax1)
+    ax2.view_init(elev=elev, azim=azim, roll=roll, share=True)
+
+    for subplot_num in (131, 132, 133):
+        ax = fig_ref.add_subplot(subplot_num, projection="3d")
+        ax.view_init(elev=elev, azim=azim, roll=roll)
+
+
+def test_shared_axes_retick():
+    fig = plt.figure()
+    ax1 = fig.add_subplot(211, projection="3d")
+    ax2 = fig.add_subplot(212, projection="3d", sharez=ax1)
+    ax1.plot([0, 1], [0, 1], [0, 2])
+    ax2.plot([0, 1], [0, 1], [0, 2])
+    ax1.set_zticks([-0.5, 0, 2, 2.5])
+    # check that setting ticks on a shared axis is synchronized
+    assert ax1.get_zlim() == (-0.5, 2.5)
+    assert ax2.get_zlim() == (-0.5, 2.5)
+
+
+def test_quaternion():
+    # 1:
+    q1 = Quaternion(1, [0, 0, 0])
+    assert q1.scalar == 1
+    assert (q1.vector == [0, 0, 0]).all
+    # __neg__:
+    assert (-q1).scalar == -1
+    assert ((-q1).vector == [0, 0, 0]).all
+    # i, j, k:
+    qi = Quaternion(0, [1, 0, 0])
+    assert qi.scalar == 0
+    assert (qi.vector == [1, 0, 0]).all
+    qj = Quaternion(0, [0, 1, 0])
+    assert qj.scalar == 0
+    assert (qj.vector == [0, 1, 0]).all
+    qk = Quaternion(0, [0, 0, 1])
+    assert qk.scalar == 0
+    assert (qk.vector == [0, 0, 1]).all
+    # i^2 = j^2 = k^2 = -1:
+    assert qi*qi == -q1
+    assert qj*qj == -q1
+    assert qk*qk == -q1
+    # identity:
+    assert q1*qi == qi
+    assert q1*qj == qj
+    assert q1*qk == qk
+    # i*j=k, j*k=i, k*i=j:
+    assert qi*qj == qk
+    assert qj*qk == qi
+    assert qk*qi == qj
+    assert qj*qi == -qk
+    assert qk*qj == -qi
+    assert qi*qk == -qj
+    # __mul__:
+    assert (Quaternion(2, [3, 4, 5]) * Quaternion(6, [7, 8, 9])
+            == Quaternion(-86, [28, 48, 44]))
+    # conjugate():
+    for q in [q1, qi, qj, qk]:
+        assert q.conjugate().scalar == q.scalar
+        assert (q.conjugate().vector == -q.vector).all
+        assert q.conjugate().conjugate() == q
+        assert ((q*q.conjugate()).vector == 0).all
+    # norm:
+    q0 = Quaternion(0, [0, 0, 0])
+    assert q0.norm == 0
+    assert q1.norm == 1
+    assert qi.norm == 1
+    assert qj.norm == 1
+    assert qk.norm == 1
+    for q in [q0, q1, qi, qj, qk]:
+        assert q.norm == (q*q.conjugate()).scalar
+    # normalize():
+    for q in [
+        Quaternion(2, [0, 0, 0]),
+        Quaternion(0, [3, 0, 0]),
+        Quaternion(0, [0, 4, 0]),
+        Quaternion(0, [0, 0, 5]),
+        Quaternion(6, [7, 8, 9])
+    ]:
+        assert q.normalize().norm == 1
+    # reciprocal():
+    for q in [q1, qi, qj, qk]:
+        assert q*q.reciprocal() == q1
+        assert q.reciprocal()*q == q1
+    # rotate():
+    assert (qi.rotate([1, 2, 3]) == np.array([1, -2, -3])).all
+    # rotate_from_to():
+    for r1, r2, q in [
+        ([1, 0, 0], [0, 1, 0], Quaternion(np.sqrt(1/2), [0, 0, np.sqrt(1/2)])),
+        ([1, 0, 0], [0, 0, 1], Quaternion(np.sqrt(1/2), [0, -np.sqrt(1/2), 0])),
+        ([1, 0, 0], [1, 0, 0], Quaternion(1, [0, 0, 0]))
+    ]:
+        assert Quaternion.rotate_from_to(r1, r2) == q
+    # rotate_from_to(), special case:
+    for r1 in [[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 1]]:
+        r1 = np.array(r1)
+        with pytest.warns(UserWarning):
+            q = Quaternion.rotate_from_to(r1, -r1)
+        assert np.isclose(q.norm, 1)
+        assert np.dot(q.vector, r1) == 0
+    # from_cardan_angles(), as_cardan_angles():
+    for elev, azim, roll in [(0, 0, 0),
+                             (90, 0, 0), (0, 90, 0), (0, 0, 90),
+                             (0, 30, 30), (30, 0, 30), (30, 30, 0),
+                             (47, 11, -24)]:
+        for mag in [1, 2]:
+            q = Quaternion.from_cardan_angles(
+                np.deg2rad(elev), np.deg2rad(azim), np.deg2rad(roll))
+            assert np.isclose(q.norm, 1)
+            q = Quaternion(mag * q.scalar, mag * q.vector)
+            np.testing.assert_allclose(np.rad2deg(Quaternion.as_cardan_angles(q)),
+                                       (elev, azim, roll), atol=1e-6)
+
+
+@pytest.mark.parametrize('style',
+                         ('azel', 'trackball', 'sphere', 'arcball'))
+def test_rotate(style):
+    """Test rotating using the left mouse button."""
+    if style == 'azel':
+        s = 0.5
+    else:
+        s = mpl.rcParams['axes3d.trackballsize'] / 2
+    s *= 0.5
+    mpl.rcParams['axes3d.trackballborder'] = 0
+    with mpl.rc_context({'axes3d.mouserotationstyle': style}):
+        for roll, dx, dy in [
+                [0, 1, 0],
+                [30, 1, 0],
+                [0, 0, 1],
+                [30, 0, 1],
+                [0, 0.5, np.sqrt(3)/2],
+                [30, 0.5, np.sqrt(3)/2],
+                [0, 2, 0]]:
+            fig = plt.figure()
+            ax = fig.add_subplot(1, 1, 1, projection='3d')
+            ax.view_init(0, 0, roll)
+            ax.figure.canvas.draw()
+
+            # drag mouse to change orientation
+            ax._button_press(
+                mock_event(ax, button=MouseButton.LEFT, xdata=0, ydata=0))
+            ax._on_move(
+                mock_event(ax, button=MouseButton.LEFT,
+                           xdata=s*dx*ax._pseudo_w, ydata=s*dy*ax._pseudo_h))
+            ax.figure.canvas.draw()
+
+            c = np.sqrt(3)/2
+            expectations = {
+                ('azel', 0, 1, 0): (0, -45, 0),
+                ('azel', 0, 0, 1): (-45, 0, 0),
+                ('azel', 0, 0.5, c): (-38.971143, -22.5, 0),
+                ('azel', 0, 2, 0): (0, -90, 0),
+                ('azel', 30, 1, 0): (22.5, -38.971143, 30),
+                ('azel', 30, 0, 1): (-38.971143, -22.5, 30),
+                ('azel', 30, 0.5, c): (-22.5, -38.971143, 30),
+
+                ('trackball', 0, 1, 0): (0, -28.64789, 0),
+                ('trackball', 0, 0, 1): (-28.64789, 0, 0),
+                ('trackball', 0, 0.5, c): (-24.531578, -15.277726, 3.340403),
+                ('trackball', 0, 2, 0): (0, -180/np.pi, 0),
+                ('trackball', 30, 1, 0): (13.869588, -25.319385, 26.87008),
+                ('trackball', 30, 0, 1): (-24.531578, -15.277726, 33.340403),
+                ('trackball', 30, 0.5, c): (-13.869588, -25.319385, 33.129920),
+
+                ('sphere', 0, 1, 0): (0, -30, 0),
+                ('sphere', 0, 0, 1): (-30, 0, 0),
+                ('sphere', 0, 0.5, c): (-25.658906, -16.102114, 3.690068),
+                ('sphere', 0, 2, 0): (0, -90, 0),
+                ('sphere', 30, 1, 0): (14.477512, -26.565051, 26.565051),
+                ('sphere', 30, 0, 1): (-25.658906, -16.102114, 33.690068),
+                ('sphere', 30, 0.5, c): (-14.477512, -26.565051, 33.434949),
+
+                ('arcball', 0, 1, 0): (0, -60, 0),
+                ('arcball', 0, 0, 1): (-60, 0, 0),
+                ('arcball', 0, 0.5, c): (-48.590378, -40.893395, 19.106605),
+                ('arcball', 0, 2, 0): (0, 180, 0),
+                ('arcball', 30, 1, 0): (25.658906, -56.309932, 16.102114),
+                ('arcball', 30, 0, 1): (-48.590378, -40.893395, 49.106605),
+                ('arcball', 30, 0.5, c): (-25.658906, -56.309932, 43.897886)}
+            new_elev, new_azim, new_roll = expectations[(style, roll, dx, dy)]
+            np.testing.assert_allclose((ax.elev, ax.azim, ax.roll),
+                                       (new_elev, new_azim, new_roll), atol=1e-6)
+
+
+def test_pan():
+    """Test mouse panning using the middle mouse button."""
+
+    def convert_lim(dmin, dmax):
+        """Convert min/max limits to center and range."""
+        center = (dmin + dmax) / 2
+        range_ = dmax - dmin
+        return center, range_
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.scatter(0, 0, 0)
+    fig.canvas.draw()
+
+    x_center0, x_range0 = convert_lim(*ax.get_xlim3d())
+    y_center0, y_range0 = convert_lim(*ax.get_ylim3d())
+    z_center0, z_range0 = convert_lim(*ax.get_zlim3d())
+
+    # move mouse diagonally to pan along all axis.
+    ax._button_press(
+        mock_event(ax, button=MouseButton.MIDDLE, xdata=0, ydata=0))
+    ax._on_move(
+        mock_event(ax, button=MouseButton.MIDDLE, xdata=1, ydata=1))
+
+    x_center, x_range = convert_lim(*ax.get_xlim3d())
+    y_center, y_range = convert_lim(*ax.get_ylim3d())
+    z_center, z_range = convert_lim(*ax.get_zlim3d())
+
+    # Ranges have not changed
+    assert x_range == pytest.approx(x_range0)
+    assert y_range == pytest.approx(y_range0)
+    assert z_range == pytest.approx(z_range0)
+
+    # But center positions have
+    assert x_center != pytest.approx(x_center0)
+    assert y_center != pytest.approx(y_center0)
+    assert z_center != pytest.approx(z_center0)
+
+
+@pytest.mark.parametrize("tool,button,key,expected",
+                         [("zoom", MouseButton.LEFT, None,  # zoom in
+                          ((0.00, 0.06), (0.01, 0.07), (0.02, 0.08))),
+                          ("zoom", MouseButton.LEFT, 'x',  # zoom in
+                          ((-0.01, 0.10), (-0.03, 0.08), (-0.06, 0.06))),
+                          ("zoom", MouseButton.LEFT, 'y',  # zoom in
+                          ((-0.07, 0.05), (-0.04, 0.08), (0.00, 0.12))),
+                          ("zoom", MouseButton.RIGHT, None,  # zoom out
+                          ((-0.09, 0.15), (-0.08, 0.17), (-0.07, 0.18))),
+                          ("pan", MouseButton.LEFT, None,
+                          ((-0.70, -0.58), (-1.04, -0.91), (-1.27, -1.15))),
+                          ("pan", MouseButton.LEFT, 'x',
+                          ((-0.97, -0.84), (-0.58, -0.46), (-0.06, 0.06))),
+                          ("pan", MouseButton.LEFT, 'y',
+                          ((0.20, 0.32), (-0.51, -0.39), (-1.27, -1.15)))])
+def test_toolbar_zoom_pan(tool, button, key, expected):
+    # NOTE: The expected zoom values are rough ballparks of moving in the view
+    #       to make sure we are getting the right direction of motion.
+    #       The specific values can and should change if the zoom movement
+    #       scaling factor gets updated.
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.scatter(0, 0, 0)
+    fig.canvas.draw()
+    xlim0, ylim0, zlim0 = ax.get_xlim3d(), ax.get_ylim3d(), ax.get_zlim3d()
+
+    # Mouse from (0, 0) to (1, 1)
+    d0 = (0, 0)
+    d1 = (1, 1)
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to d0/d1.
+    s0 = ax.transData.transform(d0).astype(int)
+    s1 = ax.transData.transform(d1).astype(int)
+
+    # Set up the mouse movements
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s0, button, key=key)
+    drag_event = MouseEvent(
+        "motion_notify_event", fig.canvas, *s1, button, key=key, buttons={button})
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s1, button, key=key)
+
+    tb = NavigationToolbar2(fig.canvas)
+    if tool == "zoom":
+        tb.zoom()
+    else:
+        tb.pan()
+
+    start_event._process()
+    drag_event._process()
+    stop_event._process()
+
+    # Should be close, but won't be exact due to screen integer resolution
+    xlim, ylim, zlim = expected
+    assert ax.get_xlim3d() == pytest.approx(xlim, abs=0.01)
+    assert ax.get_ylim3d() == pytest.approx(ylim, abs=0.01)
+    assert ax.get_zlim3d() == pytest.approx(zlim, abs=0.01)
+
+    # Ensure that back, forward, and home buttons work
+    tb.back()
+    assert ax.get_xlim3d() == pytest.approx(xlim0)
+    assert ax.get_ylim3d() == pytest.approx(ylim0)
+    assert ax.get_zlim3d() == pytest.approx(zlim0)
+
+    tb.forward()
+    assert ax.get_xlim3d() == pytest.approx(xlim, abs=0.01)
+    assert ax.get_ylim3d() == pytest.approx(ylim, abs=0.01)
+    assert ax.get_zlim3d() == pytest.approx(zlim, abs=0.01)
+
+    tb.home()
+    assert ax.get_xlim3d() == pytest.approx(xlim0)
+    assert ax.get_ylim3d() == pytest.approx(ylim0)
+    assert ax.get_zlim3d() == pytest.approx(zlim0)
+
+
+@mpl.style.context('default')
+@check_figures_equal()
+def test_scalarmap_update(fig_test, fig_ref):
+
+    x, y, z = np.array(list(itertools.product(*[np.arange(0, 5, 1),
+                                                np.arange(0, 5, 1),
+                                                np.arange(0, 5, 1)]))).T
+    c = x + y
+
+    # test
+    ax_test = fig_test.add_subplot(111, projection='3d')
+    sc_test = ax_test.scatter(x, y, z, c=c, s=40, cmap='viridis')
+    # force a draw
+    fig_test.canvas.draw()
+    # mark it as "stale"
+    sc_test.changed()
+
+    # ref
+    ax_ref = fig_ref.add_subplot(111, projection='3d')
+    sc_ref = ax_ref.scatter(x, y, z, c=c, s=40, cmap='viridis')
+
+
+def test_subfigure_simple():
+    # smoketest that subfigures can work...
+    fig = plt.figure()
+    sf = fig.subfigures(1, 2)
+    ax = sf[0].add_subplot(1, 1, 1, projection='3d')
+    ax = sf[1].add_subplot(1, 1, 1, projection='3d', label='other')
+
+
+# Update style when regenerating the test image
+@image_comparison(baseline_images=['computed_zorder'], remove_text=True,
+                  extensions=['png'], style=('mpl20'))
+def test_computed_zorder():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax1 = fig.add_subplot(221, projection='3d')
+    ax2 = fig.add_subplot(222, projection='3d')
+    ax2.computed_zorder = False
+
+    # create a horizontal plane
+    corners = ((0, 0, 0), (0, 5, 0), (5, 5, 0), (5, 0, 0))
+    for ax in (ax1, ax2):
+        tri = art3d.Poly3DCollection([corners],
+                                     facecolors='white',
+                                     edgecolors='black',
+                                     zorder=1)
+        ax.add_collection3d(tri)
+
+        # plot a vector
+        ax.plot((2, 2), (2, 2), (0, 4), c='red', zorder=2)
+
+        # plot some points
+        ax.scatter((3, 3), (1, 3), (1, 3), c='red', zorder=10)
+
+        ax.set_xlim((0, 5.0))
+        ax.set_ylim((0, 5.0))
+        ax.set_zlim((0, 2.5))
+
+    ax3 = fig.add_subplot(223, projection='3d')
+    ax4 = fig.add_subplot(224, projection='3d')
+    ax4.computed_zorder = False
+
+    dim = 10
+    X, Y = np.meshgrid((-dim, dim), (-dim, dim))
+    Z = np.zeros((2, 2))
+
+    angle = 0.5
+    X2, Y2 = np.meshgrid((-dim, dim), (0, dim))
+    Z2 = Y2 * angle
+    X3, Y3 = np.meshgrid((-dim, dim), (-dim, 0))
+    Z3 = Y3 * angle
+
+    r = 7
+    M = 1000
+    th = np.linspace(0, 2 * np.pi, M)
+    x, y, z = r * np.cos(th),  r * np.sin(th), angle * r * np.sin(th)
+    for ax in (ax3, ax4):
+        ax.plot_surface(X2, Y3, Z3,
+                        color='blue',
+                        alpha=0.5,
+                        linewidth=0,
+                        zorder=-1)
+        ax.plot(x[y < 0], y[y < 0], z[y < 0],
+                lw=5,
+                linestyle='--',
+                color='green',
+                zorder=0)
+
+        ax.plot_surface(X, Y, Z,
+                        color='red',
+                        alpha=0.5,
+                        linewidth=0,
+                        zorder=1)
+
+        ax.plot(r * np.sin(th), r * np.cos(th), np.zeros(M),
+                lw=5,
+                linestyle='--',
+                color='black',
+                zorder=2)
+
+        ax.plot_surface(X2, Y2, Z2,
+                        color='blue',
+                        alpha=0.5,
+                        linewidth=0,
+                        zorder=3)
+
+        ax.plot(x[y > 0], y[y > 0], z[y > 0], lw=5,
+                linestyle='--',
+                color='green',
+                zorder=4)
+        ax.view_init(elev=20, azim=-20, roll=0)
+        ax.axis('off')
+
+
+def test_format_coord():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    x = np.arange(10)
+    ax.plot(x, np.sin(x))
+    xv = 0.1
+    yv = 0.1
+    fig.canvas.draw()
+    assert ax.format_coord(xv, yv) == 'x=10.5227, y pane=1.0417, z=0.1444'
+
+    # Modify parameters
+    ax.view_init(roll=30, vertical_axis="y")
+    fig.canvas.draw()
+    assert ax.format_coord(xv, yv) == 'x pane=9.1875, y=0.9761, z=0.1291'
+
+    # Reset parameters
+    ax.view_init()
+    fig.canvas.draw()
+    assert ax.format_coord(xv, yv) == 'x=10.5227, y pane=1.0417, z=0.1444'
+
+    # Check orthographic projection
+    ax.set_proj_type('ortho')
+    fig.canvas.draw()
+    assert ax.format_coord(xv, yv) == 'x=10.8869, y pane=1.0417, z=0.1528'
+
+    # Check non-default perspective projection
+    ax.set_proj_type('persp', focal_length=0.1)
+    fig.canvas.draw()
+    assert ax.format_coord(xv, yv) == 'x=9.0620, y pane=1.0417, z=0.1110'
+
+
+def test_get_axis_position():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    x = np.arange(10)
+    ax.plot(x, np.sin(x))
+    fig.canvas.draw()
+    assert ax.get_axis_position() == (False, True, False)
+
+
+def test_margins():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.margins(0.2)
+    assert ax.margins() == (0.2, 0.2, 0.2)
+    ax.margins(0.1, 0.2, 0.3)
+    assert ax.margins() == (0.1, 0.2, 0.3)
+    ax.margins(x=0)
+    assert ax.margins() == (0, 0.2, 0.3)
+    ax.margins(y=0.1)
+    assert ax.margins() == (0, 0.1, 0.3)
+    ax.margins(z=0)
+    assert ax.margins() == (0, 0.1, 0)
+
+
+def test_margin_getters():
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.margins(0.1, 0.2, 0.3)
+    assert ax.get_xmargin() == 0.1
+    assert ax.get_ymargin() == 0.2
+    assert ax.get_zmargin() == 0.3
+
+
+@pytest.mark.parametrize('err, args, kwargs, match', (
+        (ValueError, (-1,), {}, r'margin must be greater than -0\.5'),
+        (ValueError, (1, -1, 1), {}, r'margin must be greater than -0\.5'),
+        (ValueError, (1, 1, -1), {}, r'margin must be greater than -0\.5'),
+        (ValueError, tuple(), {'x': -1}, r'margin must be greater than -0\.5'),
+        (ValueError, tuple(), {'y': -1}, r'margin must be greater than -0\.5'),
+        (ValueError, tuple(), {'z': -1}, r'margin must be greater than -0\.5'),
+        (TypeError, (1, ), {'x': 1},
+         'Cannot pass both positional and keyword'),
+        (TypeError, (1, ), {'x': 1, 'y': 1, 'z': 1},
+         'Cannot pass both positional and keyword'),
+        (TypeError, (1, ), {'x': 1, 'y': 1},
+         'Cannot pass both positional and keyword'),
+        (TypeError, (1, 1), {}, 'Must pass a single positional argument for'),
+))
+def test_margins_errors(err, args, kwargs, match):
+    with pytest.raises(err, match=match):
+        fig = plt.figure()
+        ax = fig.add_subplot(projection='3d')
+        ax.margins(*args, **kwargs)
+
+
+@check_figures_equal()
+def test_text_3d(fig_test, fig_ref):
+    ax = fig_ref.add_subplot(projection="3d")
+    txt = Text(0.5, 0.5, r'Foo bar $\int$')
+    art3d.text_2d_to_3d(txt, z=1)
+    ax.add_artist(txt)
+    assert txt.get_position_3d() == (0.5, 0.5, 1)
+
+    ax = fig_test.add_subplot(projection="3d")
+    t3d = art3d.Text3D(0.5, 0.5, 1, r'Foo bar $\int$')
+    ax.add_artist(t3d)
+    assert t3d.get_position_3d() == (0.5, 0.5, 1)
+
+
+def test_draw_single_lines_from_Nx1():
+    # Smoke test for GH#23459
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    ax.plot([[0], [1]], [[0], [1]], [[0], [1]])
+
+
+@check_figures_equal()
+def test_pathpatch_3d(fig_test, fig_ref):
+    ax = fig_ref.add_subplot(projection="3d")
+    path = Path.unit_rectangle()
+    patch = PathPatch(path)
+    art3d.pathpatch_2d_to_3d(patch, z=(0, 0.5, 0.7, 1, 0), zdir='y')
+    ax.add_artist(patch)
+
+    ax = fig_test.add_subplot(projection="3d")
+    pp3d = art3d.PathPatch3D(path, zs=(0, 0.5, 0.7, 1, 0), zdir='y')
+    ax.add_artist(pp3d)
+
+
+@image_comparison(baseline_images=['scatter_spiral.png'],
+                  remove_text=True,
+                  style='mpl20')
+def test_scatter_spiral():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    th = np.linspace(0, 2 * np.pi * 6, 256)
+    sc = ax.scatter(np.sin(th), np.cos(th), th, s=(1 + th * 5), c=th ** 2)
+
+    # force at least 1 draw!
+    fig.canvas.draw()
+
+
+def test_Poly3DCollection_get_path():
+    # Smoke test to see that get_path does not raise
+    # See GH#27361
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    p = Circle((0, 0), 1.0)
+    ax.add_patch(p)
+    art3d.pathpatch_2d_to_3d(p)
+    p.get_path()
+
+
+def test_Poly3DCollection_get_facecolor():
+    # Smoke test to see that get_facecolor does not raise
+    # See GH#4067
+    y, x = np.ogrid[1:10:100j, 1:10:100j]
+    z2 = np.cos(x) ** 3 - np.sin(y) ** 2
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    r = ax.plot_surface(x, y, z2, cmap='hot')
+    r.get_facecolor()
+
+
+def test_Poly3DCollection_get_edgecolor():
+    # Smoke test to see that get_edgecolor does not raise
+    # See GH#4067
+    y, x = np.ogrid[1:10:100j, 1:10:100j]
+    z2 = np.cos(x) ** 3 - np.sin(y) ** 2
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    r = ax.plot_surface(x, y, z2, cmap='hot')
+    r.get_edgecolor()
+
+
+@pytest.mark.parametrize(
+    "vertical_axis, proj_expected, axis_lines_expected, tickdirs_expected",
+    [
+        (
+            "z",
+            [
+                [0.0, 1.142857, 0.0, -0.571429],
+                [0.0, 0.0, 0.857143, -0.428571],
+                [0.0, 0.0, 0.0, -10.0],
+                [-1.142857, 0.0, 0.0, 10.571429],
+            ],
+            [
+                ([0.05617978, 0.06329114], [-0.04213483, -0.04746835]),
+                ([-0.06329114, 0.06329114], [-0.04746835, -0.04746835]),
+                ([-0.06329114, -0.06329114], [-0.04746835, 0.04746835]),
+            ],
+            [1, 0, 0],
+        ),
+        (
+            "y",
+            [
+                [1.142857, 0.0, 0.0, -0.571429],
+                [0.0, 0.857143, 0.0, -0.428571],
+                [0.0, 0.0, 0.0, -10.0],
+                [0.0, 0.0, -1.142857, 10.571429],
+            ],
+            [
+                ([-0.06329114, 0.06329114], [0.04746835, 0.04746835]),
+                ([0.06329114, 0.06329114], [-0.04746835, 0.04746835]),
+                ([-0.05617978, -0.06329114], [0.04213483, 0.04746835]),
+            ],
+            [2, 2, 0],
+        ),
+        (
+            "x",
+            [
+                [0.0, 0.0, 1.142857, -0.571429],
+                [0.857143, 0.0, 0.0, -0.428571],
+                [0.0, 0.0, 0.0, -10.0],
+                [0.0, -1.142857, 0.0, 10.571429],
+            ],
+            [
+                ([-0.06329114, -0.06329114], [0.04746835, -0.04746835]),
+                ([0.06329114, 0.05617978], [0.04746835, 0.04213483]),
+                ([0.06329114, -0.06329114], [0.04746835, 0.04746835]),
+            ],
+            [1, 2, 1],
+        ),
+    ],
+)
+def test_view_init_vertical_axis(
+    vertical_axis, proj_expected, axis_lines_expected, tickdirs_expected
+):
+    """
+    Test the actual projection, axis lines and ticks matches expected values.
+
+    Parameters
+    ----------
+    vertical_axis : str
+        Axis to align vertically.
+    proj_expected : ndarray
+        Expected values from ax.get_proj().
+    axis_lines_expected : tuple of arrays
+        Edgepoints of the axis line. Expected values retrieved according
+        to ``ax.get_[xyz]axis().line.get_data()``.
+    tickdirs_expected : list of int
+        indexes indicating which axis to create a tick line along.
+    """
+    rtol = 2e-06
+    ax = plt.subplot(1, 1, 1, projection="3d")
+    ax.view_init(elev=0, azim=0, roll=0, vertical_axis=vertical_axis)
+    ax.get_figure().canvas.draw()
+
+    # Assert the projection matrix:
+    proj_actual = ax.get_proj()
+    np.testing.assert_allclose(proj_expected, proj_actual, rtol=rtol)
+
+    for i, axis in enumerate([ax.get_xaxis(), ax.get_yaxis(), ax.get_zaxis()]):
+        # Assert black lines are correctly aligned:
+        axis_line_expected = axis_lines_expected[i]
+        axis_line_actual = axis.line.get_data()
+        np.testing.assert_allclose(axis_line_expected, axis_line_actual,
+                                   rtol=rtol)
+
+        # Assert ticks are correctly aligned:
+        tickdir_expected = tickdirs_expected[i]
+        tickdir_actual = axis._get_tickdir('default')
+        np.testing.assert_array_equal(tickdir_expected, tickdir_actual)
+
+
+@pytest.mark.parametrize("vertical_axis", ["x", "y", "z"])
+def test_on_move_vertical_axis(vertical_axis: str) -> None:
+    """
+    Test vertical axis is respected when rotating the plot interactively.
+    """
+    ax = plt.subplot(1, 1, 1, projection="3d")
+    ax.view_init(elev=0, azim=0, roll=0, vertical_axis=vertical_axis)
+    ax.get_figure().canvas.draw()
+
+    proj_before = ax.get_proj()
+    event_click = mock_event(ax, button=MouseButton.LEFT, xdata=0, ydata=1)
+    ax._button_press(event_click)
+
+    event_move = mock_event(ax, button=MouseButton.LEFT, xdata=0.5, ydata=0.8)
+    ax._on_move(event_move)
+
+    assert ax._axis_names.index(vertical_axis) == ax._vertical_axis
+
+    # Make sure plot has actually moved:
+    proj_after = ax.get_proj()
+    np.testing.assert_raises(
+        AssertionError, np.testing.assert_allclose, proj_before, proj_after
+    )
+
+
+@pytest.mark.parametrize(
+    "vertical_axis, aspect_expected",
+    [
+        ("x", [1.190476, 0.892857, 1.190476]),
+        ("y", [0.892857, 1.190476, 1.190476]),
+        ("z", [1.190476, 1.190476, 0.892857]),
+    ],
+)
+def test_set_box_aspect_vertical_axis(vertical_axis, aspect_expected):
+    ax = plt.subplot(1, 1, 1, projection="3d")
+    ax.view_init(elev=0, azim=0, roll=0, vertical_axis=vertical_axis)
+    ax.get_figure().canvas.draw()
+
+    ax.set_box_aspect(None)
+
+    np.testing.assert_allclose(aspect_expected, ax._box_aspect, rtol=1e-6)
+
+
+@image_comparison(baseline_images=['arc_pathpatch.png'],
+                  remove_text=True,
+                  style='mpl20')
+def test_arc_pathpatch():
+    ax = plt.subplot(1, 1, 1, projection="3d")
+    a = mpatch.Arc((0.5, 0.5), width=0.5, height=0.9,
+                   angle=20, theta1=10, theta2=130)
+    ax.add_patch(a)
+    art3d.pathpatch_2d_to_3d(a, z=0, zdir='z')
+
+
+@image_comparison(baseline_images=['panecolor_rcparams.png'],
+                  remove_text=True,
+                  style='mpl20')
+def test_panecolor_rcparams():
+    with plt.rc_context({'axes3d.xaxis.panecolor': 'r',
+                         'axes3d.yaxis.panecolor': 'g',
+                         'axes3d.zaxis.panecolor': 'b'}):
+        fig = plt.figure(figsize=(1, 1))
+        fig.add_subplot(projection='3d')
+
+
+@check_figures_equal()
+def test_mutating_input_arrays_y_and_z(fig_test, fig_ref):
+    """
+    Test to see if the `z` axis does not get mutated
+    after a call to `Axes3D.plot`
+
+    test cases came from GH#8990
+    """
+    ax1 = fig_test.add_subplot(111, projection='3d')
+    x = [1, 2, 3]
+    y = [0.0, 0.0, 0.0]
+    z = [0.0, 0.0, 0.0]
+    ax1.plot(x, y, z, 'o-')
+
+    # mutate y,z to get a nontrivial line
+    y[:] = [1, 2, 3]
+    z[:] = [1, 2, 3]
+
+    # draw the same plot without mutating x and y
+    ax2 = fig_ref.add_subplot(111, projection='3d')
+    x = [1, 2, 3]
+    y = [0.0, 0.0, 0.0]
+    z = [0.0, 0.0, 0.0]
+    ax2.plot(x, y, z, 'o-')
+
+
+def test_scatter_masked_color():
+    """
+    Test color parameter usage with non-finite coordinate arrays.
+
+    GH#26236
+    """
+
+    x = [np.nan, 1, 2,  1]
+    y = [0, np.inf, 2,  1]
+    z = [0, 1, -np.inf, 1]
+    colors = [
+        [0.0, 0.0, 0.0, 1],
+        [0.0, 0.0, 0.0, 1],
+        [0.0, 0.0, 0.0, 1],
+        [0.0, 0.0, 0.0, 1]
+    ]
+
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+    path3d = ax.scatter(x, y, z, color=colors)
+
+    # Assert sizes' equality
+    assert len(path3d.get_offsets()) ==\
+           len(super(type(path3d), path3d).get_facecolors())
+
+
+@mpl3d_image_comparison(['surface3d_zsort_inf.png'], style='mpl20')
+def test_surface3d_zsort_inf():
+    plt.rcParams['axes3d.automargin'] = True  # Remove when image is regenerated
+    fig = plt.figure()
+    ax = fig.add_subplot(projection='3d')
+
+    x, y = np.mgrid[-2:2:0.1, -2:2:0.1]
+    z = np.sin(x)**2 + np.cos(y)**2
+    z[x.shape[0] // 2:, x.shape[1] // 2:] = np.inf
+
+    ax.plot_surface(x, y, z, cmap='jet')
+    ax.view_init(elev=45, azim=145)
+
+
+def test_Poly3DCollection_init_value_error():
+    # smoke test to ensure the input check works
+    # GH#26420
+    with pytest.raises(ValueError,
+                       match='You must provide facecolors, edgecolors, '
+                        'or both for shade to work.'):
+        poly = np.array([[0, 0, 1], [0, 1, 1], [0, 0, 0]], float)
+        c = art3d.Poly3DCollection([poly], shade=True)
+
+
+def test_ndarray_color_kwargs_value_error():
+    # smoke test
+    # ensures ndarray can be passed to color in kwargs for 3d projection plot
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    ax.scatter(1, 0, 0, color=np.array([0, 0, 0, 1]))
+    fig.canvas.draw()
diff --git a/lib/mpl_toolkits/mplot3d/tests/test_legend3d.py b/lib/mpl_toolkits/mplot3d/tests/test_legend3d.py
new file mode 100644
index 000000000000..7fd676df1e31
--- /dev/null
+++ b/lib/mpl_toolkits/mplot3d/tests/test_legend3d.py
@@ -0,0 +1,117 @@
+import platform
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib.colors import same_color
+from matplotlib.testing.decorators import image_comparison
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import art3d
+
+
+@image_comparison(['legend_plot.png'], remove_text=True, style='mpl20')
+def test_legend_plot():
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    x = np.arange(10)
+    ax.plot(x, 5 - x, 'o', zdir='y', label='z=1')
+    ax.plot(x, x - 5, 'o', zdir='y', label='z=-1')
+    ax.legend()
+
+
+@image_comparison(['legend_bar.png'], remove_text=True, style='mpl20')
+def test_legend_bar():
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    x = np.arange(10)
+    b1 = ax.bar(x, x, zdir='y', align='edge', color='m')
+    b2 = ax.bar(x, x[::-1], zdir='x', align='edge', color='g')
+    ax.legend([b1[0], b2[0]], ['up', 'down'])
+
+
+@image_comparison(['fancy.png'], remove_text=True, style='mpl20',
+                  tol=0 if platform.machine() == 'x86_64' else 0.011)
+def test_fancy():
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    ax.plot(np.arange(10), np.full(10, 5), np.full(10, 5), 'o--', label='line')
+    ax.scatter(np.arange(10), np.arange(10, 0, -1), label='scatter')
+    ax.errorbar(np.full(10, 5), np.arange(10), np.full(10, 10),
+                xerr=0.5, zerr=0.5, label='errorbar')
+    ax.legend(loc='lower left', ncols=2, title='My legend', numpoints=1)
+
+
+def test_linecollection_scaled_dashes():
+    lines1 = [[(0, .5), (.5, 1)], [(.3, .6), (.2, .2)]]
+    lines2 = [[[0.7, .2], [.8, .4]], [[.5, .7], [.6, .1]]]
+    lines3 = [[[0.6, .2], [.8, .4]], [[.5, .7], [.1, .1]]]
+    lc1 = art3d.Line3DCollection(lines1, linestyles="--", lw=3)
+    lc2 = art3d.Line3DCollection(lines2, linestyles="-.")
+    lc3 = art3d.Line3DCollection(lines3, linestyles=":", lw=.5)
+
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    ax.add_collection(lc1)
+    ax.add_collection(lc2)
+    ax.add_collection(lc3)
+
+    leg = ax.legend([lc1, lc2, lc3], ['line1', 'line2', 'line 3'])
+    h1, h2, h3 = leg.legend_handles
+
+    for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):
+        assert oh.get_linestyles()[0] == lh._dash_pattern
+
+
+def test_handlerline3d():
+    # Test marker consistency for monolithic Line3D legend handler.
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    ax.scatter([0, 1], [0, 1], marker="v")
+    handles = [art3d.Line3D([0], [0], [0], marker="v")]
+    leg = ax.legend(handles, ["Aardvark"], numpoints=1)
+    assert handles[0].get_marker() == leg.legend_handles[0].get_marker()
+
+
+def test_contour_legend_elements():
+    x, y = np.mgrid[1:10, 1:10]
+    h = x * y
+    colors = ['blue', '#00FF00', 'red']
+
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    cs = ax.contour(x, y, h, levels=[10, 30, 50], colors=colors, extend='both')
+
+    artists, labels = cs.legend_elements()
+    assert labels == ['$x = 10.0$', '$x = 30.0$', '$x = 50.0$']
+    assert all(isinstance(a, mpl.lines.Line2D) for a in artists)
+    assert all(same_color(a.get_color(), c)
+               for a, c in zip(artists, colors))
+
+
+def test_contourf_legend_elements():
+    x, y = np.mgrid[1:10, 1:10]
+    h = x * y
+
+    fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+    cs = ax.contourf(x, y, h, levels=[10, 30, 50],
+                     colors=['#FFFF00', '#FF00FF', '#00FFFF'],
+                     extend='both')
+    cs.cmap.set_over('red')
+    cs.cmap.set_under('blue')
+    cs.changed()
+    artists, labels = cs.legend_elements()
+    assert labels == ['$x \\leq -1e+250s$',
+                      '$10.0 < x \\leq 30.0$',
+                      '$30.0 < x \\leq 50.0$',
+                      '$x > 1e+250s$']
+    expected_colors = ('blue', '#FFFF00', '#FF00FF', 'red')
+    assert all(isinstance(a, mpl.patches.Rectangle) for a in artists)
+    assert all(same_color(a.get_facecolor(), c)
+               for a, c in zip(artists, expected_colors))
+
+
+def test_legend_Poly3dCollection():
+
+    verts = np.asarray([[0, 0, 0], [0, 1, 1], [1, 0, 1]])
+    mesh = art3d.Poly3DCollection([verts], label="surface")
+
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    mesh.set_edgecolor('k')
+    handle = ax.add_collection3d(mesh)
+    leg = ax.legend()
+    assert (leg.legend_handles[0].get_facecolor()
+            == handle.get_facecolor()).all()
diff --git a/lib/mpl_toolkits/tests/__init__.py b/lib/mpl_toolkits/tests/__init__.py
deleted file mode 100644
index e08f07a7511d..000000000000
--- a/lib/mpl_toolkits/tests/__init__.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import difflib
-import os
-
-from matplotlib import rcParams, rcdefaults, use
-
-
-_multiprocess_can_split_ = True
-
-
-# Check that the test directories exist
-if not os.path.exists(os.path.join(
-        os.path.dirname(__file__), 'baseline_images')):
-    raise IOError(
-        'The baseline image directory does not exist. '
-        'This is most likely because the test data is not installed. '
-        'You may need to install matplotlib from source to get the '
-        'test data.')
-
-
-def setup():
-    # The baseline images are created in this locale, so we should use
-    # it during all of the tests.
-    import locale
-    import warnings
-    from matplotlib.backends import backend_agg, backend_pdf, backend_svg
-
-    try:
-        locale.setlocale(locale.LC_ALL, str('en_US.UTF-8'))
-    except locale.Error:
-        try:
-            locale.setlocale(locale.LC_ALL, str('English_United States.1252'))
-        except locale.Error:
-            warnings.warn(
-                "Could not set locale to English/United States. "
-                "Some date-related tests may fail")
-
-    use('Agg', warn=False)  # use Agg backend for these tests
-
-    # These settings *must* be hardcoded for running the comparison
-    # tests and are not necessarily the default values as specified in
-    # rcsetup.py
-    rcdefaults()  # Start with all defaults
-    rcParams['font.family'] = 'Bitstream Vera Sans'
-    rcParams['text.hinting'] = False
-    rcParams['text.hinting_factor'] = 8
-
-    # Clear the font caches.  Otherwise, the hinting mode can travel
-    # from one test to another.
-    backend_agg.RendererAgg._fontd.clear()
-    backend_pdf.RendererPdf.truetype_font_cache.clear()
-    backend_svg.RendererSVG.fontd.clear()
-
-
-def assert_str_equal(reference_str, test_str,
-                     format_str=('String {str1} and {str2} do not '
-                                 'match:\n{differences}')):
-    """
-    Assert the two strings are equal. If not, fail and print their
-    diffs using difflib.
-
-    """
-    if reference_str != test_str:
-        diff = difflib.unified_diff(reference_str.splitlines(1),
-                                    test_str.splitlines(1),
-                                    'Reference', 'Test result',
-                                    '', '', 0)
-        raise ValueError(format_str.format(str1=reference_str,
-                                           str2=test_str,
-                                           differences=''.join(diff)))
diff --git a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.pdf b/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.pdf
deleted file mode 100644
index 18489251692e..000000000000
Binary files a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.pdf and /dev/null differ
diff --git a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.png b/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.png
deleted file mode 100644
index 9c80f196971e..000000000000
Binary files a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.png and /dev/null differ
diff --git a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.svg b/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.svg
deleted file mode 100644
index 0b37edf833a4..000000000000
--- a/lib/mpl_toolkits/tests/baseline_images/test_mplot3d/bar3d.svg
+++ /dev/null
@@ -1,942 +0,0 @@
-<?xml version="1.0" encoding="utf-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
-  "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<!-- Created with matplotlib (http://matplotlib.org/) -->
-<svg height="432pt" version="1.1" viewBox="0 0 576 432" width="576pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
- <defs>
-  <style type="text/css">
-*{stroke-linecap:butt;stroke-linejoin:round;}
-  </style>
- </defs>
- <g id="figure_1">
-  <g id="patch_1">
-   <path d="
-M0 432
-L576 432
-L576 0
-L0 0
-z
-" style="fill:#ffffff;"/>
-  </g>
-  <g id="patch_2">
-   <path d="
-M72 388.8
-L518.4 388.8
-L518.4 43.2
-L72 43.2
-z
-" style="fill:#ffffff;"/>
-  </g>
-  <g id="pane3d_1">
-   <g id="patch_3">
-    <path d="
-M131.177 312.435
-L258.939 227.701
-L256.812 65.7899
-L121.927 141.921" style="fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;"/>
-   </g>
-  </g>
-  <g id="pane3d_2">
-   <g id="patch_4">
-    <path d="
-M258.939 227.701
-L465.902 275.073
-L474.561 108.279
-L256.812 65.7899" style="fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;"/>
-   </g>
-  </g>
-  <g id="pane3d_3">
-   <g id="patch_5">
-    <path d="
-M131.177 312.435
-L348.93 367.606
-L465.902 275.073
-L258.939 227.701" style="fill:#ececec;opacity:0.5;stroke:#ececec;"/>
-   </g>
-  </g>
-  <g id="axis3d_1">
-   <g id="line2d_1">
-    <path d="
-M131.177 312.435
-L348.93 367.606" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.75;"/>
-   </g>
-   <g id="Line3DCollection_1">
-    <defs>
-     <path d="
-M135.341 -118.51
-L262.91 -203.39
-L260.981 -365.397" id="C0_0_07aeb28047"/>
-     <path d="
-M185.899 -105.701
-L311.08 -192.364
-L311.581 -355.523" id="C0_1_8b413bddcd"/>
-     <path d="
-M237.566 -92.6099
-L360.229 -181.115
-L363.263 -345.439" id="C0_2_3c79f2f2e6"/>
-     <path d="
-M290.378 -79.2289
-L410.388 -169.634
-L416.061 -335.136" id="C0_3_681583d95e"/>
-     <path d="
-M344.375 -65.5477
-L461.587 -157.915
-L470.012 -324.609" id="C0_4_01854ad9a3"/>
-    </defs>
-    <use style="fill:none;stroke:#e6e6e6;" x="0.0" xlink:href="#C0_0_07aeb28047" y="432.0"/>
-    <use style="fill:none;stroke:#e6e6e6;" x="0.0" xlink:href="#C0_1_8b413bddcd" y="432.0"/>
-    <use style="fill:none;stroke:#e6e6e6;" x="0.0" xlink:href="#C0_2_3c79f2f2e6" y="432.0"/>
-    <use style="fill:none;stroke:#e6e6e6;" x="0.0" xlink:href="#C0_3_681583d95e" y="432.0"/>
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diff --git a/lib/mpl_toolkits/tests/test_mplot3d.py b/lib/mpl_toolkits/tests/test_mplot3d.py
deleted file mode 100644
index ad0cb05e27bb..000000000000
--- a/lib/mpl_toolkits/tests/test_mplot3d.py
+++ /dev/null
@@ -1,238 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D, axes3d
-from matplotlib import cm
-from matplotlib.testing.decorators import image_comparison
-import matplotlib.pyplot as plt
-import numpy as np
-
-
-@image_comparison(baseline_images=['bar3d'], remove_text=True)
-def test_bar3d():
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='3d')
-    for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
-        xs = np.arange(20)
-        ys = np.arange(20)
-        cs = [c] * len(xs)
-        cs[0] = 'c'
-        ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)
-
-
-@image_comparison(baseline_images=['contour3d'], remove_text=True)
-def test_contour3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-    X, Y, Z = axes3d.get_test_data(0.05)
-    cset = ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-    cset = ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-    cset = ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
-    ax.set_xlim(-40, 40)
-    ax.set_ylim(-40, 40)
-    ax.set_zlim(-100, 100)
-
-
-@image_comparison(baseline_images=['contourf3d'], remove_text=True)
-def test_contourf3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-    X, Y, Z = axes3d.get_test_data(0.05)
-    cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-    cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-    cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
-    ax.set_xlim(-40, 40)
-    ax.set_ylim(-40, 40)
-    ax.set_zlim(-100, 100)
-
-
-@image_comparison(baseline_images=['lines3d'], remove_text=True)
-def test_lines3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-    theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
-    z = np.linspace(-2, 2, 100)
-    r = z ** 2 + 1
-    x = r * np.sin(theta)
-    y = r * np.cos(theta)
-    ax.plot(x, y, z)
-
-
-@image_comparison(baseline_images=['mixedsubplot'], remove_text=True)
-def test_mixedsubplots():
-    def f(t):
-        s1 = np.cos(2*np.pi*t)
-        e1 = np.exp(-t)
-        return np.multiply(s1, e1)
-
-    t1 = np.arange(0.0, 5.0, 0.1)
-    t2 = np.arange(0.0, 5.0, 0.02)
-
-    fig = plt.figure(figsize=plt.figaspect(2.))
-    ax = fig.add_subplot(2, 1, 1)
-    l = ax.plot(t1, f(t1), 'bo',
-                t2, f(t2), 'k--', markerfacecolor='green')
-    ax.grid(True)
-
-    ax = fig.add_subplot(2, 1, 2, projection='3d')
-    X, Y = np.meshgrid(np.arange(-5, 5, 0.25), np.arange(-5, 5, 0.25))
-    R = np.sqrt(X ** 2 + Y ** 2)
-    Z = np.sin(R)
-
-    surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,
-                           linewidth=0, antialiased=False)
-
-    ax.set_zlim3d(-1, 1)
-
-
-@image_comparison(baseline_images=['scatter3d'], remove_text=True)
-def test_scatter3d():
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='3d')
-    ax.scatter(np.arange(10), np.arange(10), np.arange(10),
-               c='r', marker='o')
-    ax.scatter(np.arange(10, 20), np.arange(10, 20), np.arange(10, 20),
-               c='b', marker='^')
-
-
-@image_comparison(baseline_images=['surface3d'], remove_text=True)
-def test_surface3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-    X = np.arange(-5, 5, 0.25)
-    Y = np.arange(-5, 5, 0.25)
-    X, Y = np.meshgrid(X, Y)
-    R = np.sqrt(X ** 2 + Y ** 2)
-    Z = np.sin(R)
-    surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
-                           lw=0, antialiased=False)
-    ax.set_zlim(-1.01, 1.01)
-    fig.colorbar(surf, shrink=0.5, aspect=5)
-
-
-@image_comparison(baseline_images=['text3d'])
-def test_text3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    zdirs = (None, 'x', 'y', 'z', (1, 1, 0), (1, 1, 1))
-    xs = (2, 6, 4, 9, 7, 2)
-    ys = (6, 4, 8, 7, 2, 2)
-    zs = (4, 2, 5, 6, 1, 7)
-
-    for zdir, x, y, z in zip(zdirs, xs, ys, zs):
-        label = '(%d, %d, %d), dir=%s' % (x, y, z, zdir)
-        ax.text(x, y, z, label, zdir)
-
-    ax.text(1, 1, 1, "red", color='red')
-    ax.text2D(0.05, 0.95, "2D Text", transform=ax.transAxes)
-    ax.set_xlim3d(0, 10)
-    ax.set_ylim3d(0, 10)
-    ax.set_zlim3d(0, 10)
-    ax.set_xlabel('X axis')
-    ax.set_ylabel('Y axis')
-    ax.set_zlabel('Z axis')
-
-
-@image_comparison(baseline_images=['trisurf3d'], remove_text=True)
-def test_trisurf3d():
-    n_angles = 36
-    n_radii = 8
-    radii = np.linspace(0.125, 1.0, n_radii)
-    angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
-    angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
-    angles[:, 1::2] += np.pi/n_angles
-
-    x = np.append(0, (radii*np.cos(angles)).flatten())
-    y = np.append(0, (radii*np.sin(angles)).flatten())
-    z = np.sin(-x*y)
-
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-    ax.plot_trisurf(x, y, z, cmap=cm.jet, linewidth=0.2)
-
-
-@image_comparison(baseline_images=['wireframe3d'], remove_text=True)
-def test_wireframe3d():
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='3d')
-    X, Y, Z = axes3d.get_test_data(0.05)
-    ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
-
-
-@image_comparison(baseline_images=['quiver3d'], remove_text=True)
-def test_quiver3d():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    x, y, z = np.ogrid[-1:0.8:10j, -1:0.8:10j, -1:0.6:3j]
-
-    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-            np.sin(np.pi * z))
-
-    ax.quiver(x, y, z, u, v, w, length=0.1)
-
-@image_comparison(baseline_images=['quiver3d_empty'], remove_text=True)
-def test_quiver3d_empty():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    x, y, z = np.ogrid[-1:0.8:0j, -1:0.8:0j, -1:0.6:0j]
-
-    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-            np.sin(np.pi * z))
-
-    ax.quiver(x, y, z, u, v, w, length=0.1)
-
-@image_comparison(baseline_images=['quiver3d_masked'], remove_text=True)
-def test_quiver3d_masked():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    # Using mgrid here instead of ogrid because masked_where doesn't
-    # seem to like broadcasting very much...
-    x, y, z = np.mgrid[-1:0.8:10j, -1:0.8:10j, -1:0.6:3j]
-
-    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-            np.sin(np.pi * z))
-    u = np.ma.masked_where((-0.4 < x) & (x < 0.1), u, copy=False)
-    v = np.ma.masked_where((0.1 < y) & (y < 0.7), v, copy=False)
-
-    ax.quiver(x, y, z, u, v, w, length=0.1)
-
-@image_comparison(baseline_images=['quiver3d_pivot_middle'], remove_text=True,
-                  extensions=['png'])
-def test_quiver3d_pivot_middle():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    x, y, z = np.ogrid[-1:0.8:10j, -1:0.8:10j, -1:0.6:3j]
-
-    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-            np.sin(np.pi * z))
-
-    ax.quiver(x, y, z, u, v, w, length=0.1, pivot='middle')
-
-@image_comparison(baseline_images=['quiver3d_pivot_tail'], remove_text=True,
-                  extensions=['png'])
-def test_quiver3d_pivot_tail():
-    fig = plt.figure()
-    ax = fig.gca(projection='3d')
-
-    x, y, z = np.ogrid[-1:0.8:10j, -1:0.8:10j, -1:0.6:3j]
-
-    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
-    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
-    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
-            np.sin(np.pi * z))
-
-    ax.quiver(x, y, z, u, v, w, length=0.1, pivot='tail')
-
-if __name__ == '__main__':
-    import nose
-    nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
diff --git a/lib/pylab.py b/lib/pylab.py
index f9d135d36e2b..64ece55b1cb2 100644
--- a/lib/pylab.py
+++ b/lib/pylab.py
@@ -1,3 +1,3 @@
-from matplotlib.pylab import *
+from matplotlib.pylab import *  # noqa: F401, F403
 import matplotlib.pylab
 __doc__ = matplotlib.pylab.__doc__
diff --git a/license.py b/license.py
deleted file mode 100644
index e84048232f06..000000000000
--- a/license.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import sys, datetime
-
-if len(sys.argv) != 3:
-    print >>sys.stderr, 'Usage: license.py version_num filename'
-
-version = sys.argv[1]
-year = datetime.date.today().year
-
-s = """\
-LICENSE AGREEMENT FOR MATPLOTLIB %(version)s
---------------------------------------
-
-1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
-Individual or Organization ("Licensee") accessing and otherwise using
-matplotlib software in source or binary form and its associated
-documentation.
-
-2. Subject to the terms and conditions of this License Agreement, JDH
-hereby grants Licensee a nonexclusive, royalty-free, world-wide license
-to reproduce, analyze, test, perform and/or display publicly, prepare
-derivative works, distribute, and otherwise use matplotlib %(version)s
-alone or in any derivative version, provided, however, that JDH's
-License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
-2002-%(year)d John D. Hunter; All Rights Reserved" are retained in
-matplotlib %(version)s alone or in any derivative version prepared by
-Licensee.
-
-3. In the event Licensee prepares a derivative work that is based on or
-incorporates matplotlib %(version)s or any part thereof, and wants to
-make the derivative work available to others as provided herein, then
-Licensee hereby agrees to include in any such work a brief summary of
-the changes made to matplotlib %(version)s.
-
-4. JDH is making matplotlib %(version)s available to Licensee on an "AS
-IS" basis.  JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
-IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
-DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
-FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB %(version)s
-WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
-
-5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
-%(version)s FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
-LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
-MATPLOTLIB %(version)s, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
-THE POSSIBILITY THEREOF.
-
-6. This License Agreement will automatically terminate upon a material
-breach of its terms and conditions.
-
-7. Nothing in this License Agreement shall be deemed to create any
-relationship of agency, partnership, or joint venture between JDH and
-Licensee.  This License Agreement does not grant permission to use JDH
-trademarks or trade name in a trademark sense to endorse or promote
-products or services of Licensee, or any third party.
-
-8. By copying, installing or otherwise using matplotlib %(version)s,
-Licensee agrees to be bound by the terms and conditions of this License
-Agreement.
-""" % locals()
-
-
-file(sys.argv[2], 'w').write(s)
-
diff --git a/matplotlibrc.template b/matplotlibrc.template
deleted file mode 100644
index 89529327f4b6..000000000000
--- a/matplotlibrc.template
+++ /dev/null
@@ -1,496 +0,0 @@
-### MATPLOTLIBRC FORMAT
-
-# This is a sample matplotlib configuration file - you can find a copy
-# of it on your system in
-# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
-# there, please note that it will be overwritten in your next install.
-# If you want to keep a permanent local copy that will not be
-# overwritten, place it in the following location:
-# unix/linux:
-#     $HOME/.config/matplotlib/matplotlibrc or
-#     $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
-# other platforms:
-#     $HOME/.matplotlib/matplotlibrc
-#
-# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for
-# more details on the paths which are checked for the configuration file.
-#
-# This file is best viewed in a editor which supports python mode
-# syntax highlighting. Blank lines, or lines starting with a comment
-# symbol, are ignored, as are trailing comments.  Other lines must
-# have the format
-#    key : val # optional comment
-#
-# Colors: for the color values below, you can either use - a
-# matplotlib color string, such as r, k, or b - an rgb tuple, such as
-# (1.0, 0.5, 0.0) - a hex string, such as ff00ff or #ff00ff - a scalar
-# grayscale intensity such as 0.75 - a legal html color name, e.g., red,
-# blue, darkslategray
-
-#### CONFIGURATION BEGINS HERE
-
-# The default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo
-# CocoaAgg MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG
-# Template.
-# You can also deploy your own backend outside of matplotlib by
-# referring to the module name (which must be in the PYTHONPATH) as
-# 'module://my_backend'.
-backend      : %(backend)s
-
-# If you are using the Qt4Agg backend, you can choose here
-# to use the PyQt4 bindings or the newer PySide bindings to
-# the underlying Qt4 toolkit.
-#backend.qt4 : PyQt4        # PyQt4 | PySide
-
-# Note that this can be overridden by the environment variable
-# QT_API used by Enthought Tool Suite (ETS); valid values are
-# "pyqt" and "pyside".  The "pyqt" setting has the side effect of
-# forcing the use of Version 2 API for QString and QVariant.
-
-# The port to use for the web server in the WebAgg backend.
-# webagg.port : 8888
-
-# If webagg.port is unavailable, a number of other random ports will
-# be tried until one that is available is found.
-# webagg.port_retries : 50
-
-# When True, open the webbrowser to the plot that is shown
-# webagg.open_in_browser : True
-
-# When True, the figures rendered in the nbagg backend are created with
-# a transparent background.
-# nbagg.transparent : True
-
-# if you are running pyplot inside a GUI and your backend choice
-# conflicts, we will automatically try to find a compatible one for
-# you if backend_fallback is True
-#backend_fallback: True
-
-#interactive  : False
-#toolbar      : toolbar2   # None | toolbar2  ("classic" is deprecated)
-#timezone     : UTC        # a pytz timezone string, e.g., US/Central or Europe/Paris
-
-# Where your matplotlib data lives if you installed to a non-default
-# location.  This is where the matplotlib fonts, bitmaps, etc reside
-#datapath : /home/jdhunter/mpldata
-
-
-### LINES
-# See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more
-# information on line properties.
-#lines.linewidth   : 1.0     # line width in points
-#lines.linestyle   : -       # solid line
-#lines.color       : blue    # has no affect on plot(); see axes.color_cycle
-#lines.marker      : None    # the default marker
-#lines.markeredgewidth  : 0.5     # the line width around the marker symbol
-#lines.markersize  : 6            # markersize, in points
-#lines.dash_joinstyle : miter        # miter|round|bevel
-#lines.dash_capstyle : butt          # butt|round|projecting
-#lines.solid_joinstyle : miter       # miter|round|bevel
-#lines.solid_capstyle : projecting   # butt|round|projecting
-#lines.antialiased : True         # render lines in antialised (no jaggies)
-
-### PATCHES
-# Patches are graphical objects that fill 2D space, like polygons or
-# circles.  See
-# http://matplotlib.org/api/artist_api.html#module-matplotlib.patches
-# information on patch properties
-#patch.linewidth        : 1.0     # edge width in points
-#patch.facecolor        : blue
-#patch.edgecolor        : black
-#patch.antialiased      : True    # render patches in antialised (no jaggies)
-
-### FONT
-#
-# font properties used by text.Text.  See
-# http://matplotlib.org/api/font_manager_api.html for more
-# information on font properties.  The 6 font properties used for font
-# matching are given below with their default values.
-#
-# The font.family property has five values: 'serif' (e.g., Times),
-# 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
-# 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier).  Each of
-# these font families has a default list of font names in decreasing
-# order of priority associated with them.  When text.usetex is False,
-# font.family may also be one or more concrete font names.
-#
-# The font.style property has three values: normal (or roman), italic
-# or oblique.  The oblique style will be used for italic, if it is not
-# present.
-#
-# The font.variant property has two values: normal or small-caps.  For
-# TrueType fonts, which are scalable fonts, small-caps is equivalent
-# to using a font size of 'smaller', or about 83%% of the current font
-# size.
-#
-# The font.weight property has effectively 13 values: normal, bold,
-# bolder, lighter, 100, 200, 300, ..., 900.  Normal is the same as
-# 400, and bold is 700.  bolder and lighter are relative values with
-# respect to the current weight.
-#
-# The font.stretch property has 11 values: ultra-condensed,
-# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
-# expanded, extra-expanded, ultra-expanded, wider, and narrower.  This
-# property is not currently implemented.
-#
-# The font.size property is the default font size for text, given in pts.
-# 12pt is the standard value.
-#
-#font.family         : sans-serif
-#font.style          : normal
-#font.variant        : normal
-#font.weight         : medium
-#font.stretch        : normal
-# note that font.size controls default text sizes.  To configure
-# special text sizes tick labels, axes, labels, title, etc, see the rc
-# settings for axes and ticks. Special text sizes can be defined
-# relative to font.size, using the following values: xx-small, x-small,
-# small, medium, large, x-large, xx-large, larger, or smaller
-#font.size           : 12.0
-#font.serif          : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
-#font.sans-serif     : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
-#font.cursive        : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, cursive
-#font.fantasy        : Comic Sans MS, Chicago, Charcoal, Impact, Western, Humor Sans, fantasy
-#font.monospace      : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
-
-### TEXT
-# text properties used by text.Text.  See
-# http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
-# information on text properties
-
-#text.color          : black
-
-### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
-#text.usetex         : False  # use latex for all text handling. The following fonts
-                              # are supported through the usual rc parameter settings:
-                              # new century schoolbook, bookman, times, palatino,
-                              # zapf chancery, charter, serif, sans-serif, helvetica,
-                              # avant garde, courier, monospace, computer modern roman,
-                              # computer modern sans serif, computer modern typewriter
-                              # If another font is desired which can loaded using the
-                              # LaTeX \usepackage command, please inquire at the
-                              # matplotlib mailing list
-#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling
-                            # unicode strings.
-#text.latex.preamble :  # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
-                            # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
-                            # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
-                            # preamble is a comma separated list of LaTeX statements
-                            # that are included in the LaTeX document preamble.
-                            # An example:
-                            # text.latex.preamble : \usepackage{bm},\usepackage{euler}
-                            # The following packages are always loaded with usetex, so
-                            # beware of package collisions: color, geometry, graphicx,
-                            # type1cm, textcomp. Adobe Postscript (PSSNFS) font packages
-                            # may also be loaded, depending on your font settings
-
-#text.dvipnghack : None      # some versions of dvipng don't handle alpha
-                             # channel properly.  Use True to correct
-                             # and flush ~/.matplotlib/tex.cache
-                             # before testing and False to force
-                             # correction off.  None will try and
-                             # guess based on your dvipng version
-
-#text.hinting : auto   # May be one of the following:
-                       #   'none': Perform no hinting
-                       #   'auto': Use freetype's autohinter
-                       #   'native': Use the hinting information in the
-                       #             font file, if available, and if your
-                       #             freetype library supports it
-                       #   'either': Use the native hinting information,
-                       #             or the autohinter if none is available.
-                       # For backward compatibility, this value may also be
-                       # True === 'auto' or False === 'none'.
-#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the
-                         # horizontal direction.  A value of 1 will hint to full
-                         # pixels.  A value of 2 will hint to half pixels etc.
-
-#text.antialiased : True # If True (default), the text will be antialiased.
-                         # This only affects the Agg backend.
-
-# The following settings allow you to select the fonts in math mode.
-# They map from a TeX font name to a fontconfig font pattern.
-# These settings are only used if mathtext.fontset is 'custom'.
-# Note that this "custom" mode is unsupported and may go away in the
-# future.
-#mathtext.cal : cursive
-#mathtext.rm  : serif
-#mathtext.tt  : monospace
-#mathtext.it  : serif:italic
-#mathtext.bf  : serif:bold
-#mathtext.sf  : sans
-#mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
-                       # 'stixsans' or 'custom'
-#mathtext.fallback_to_cm : True  # When True, use symbols from the Computer Modern
-                                 # fonts when a symbol can not be found in one of
-                                 # the custom math fonts.
-
-#mathtext.default : it # The default font to use for math.
-                       # Can be any of the LaTeX font names, including
-                       # the special name "regular" for the same font
-                       # used in regular text.
-
-### AXES
-# default face and edge color, default tick sizes,
-# default fontsizes for ticklabels, and so on.  See
-# http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
-#axes.hold           : True    # whether to clear the axes by default on
-#axes.facecolor      : white   # axes background color
-#axes.edgecolor      : black   # axes edge color
-#axes.linewidth      : 1.0     # edge linewidth
-#axes.grid           : False   # display grid or not
-#axes.titlesize      : large   # fontsize of the axes title
-#axes.labelsize      : medium  # fontsize of the x any y labels
-#axes.labelpad       : 5.0     # space between label and axis
-#axes.labelweight    : normal  # weight of the x and y labels
-#axes.labelcolor     : black
-#axes.axisbelow      : False   # whether axis gridlines and ticks are below
-                               # the axes elements (lines, text, etc)
-
-#axes.formatter.limits : -7, 7 # use scientific notation if log10
-                               # of the axis range is smaller than the
-                               # first or larger than the second
-#axes.formatter.use_locale : False # When True, format tick labels
-                                   # according to the user's locale.
-                                   # For example, use ',' as a decimal
-                                   # separator in the fr_FR locale.
-#axes.formatter.use_mathtext : False # When True, use mathtext for scientific
-                                     # notation.
-#axes.formatter.useoffset      : True    # If True, the tick label formatter 
-                                         # will default to labeling ticks relative 
-                                         # to an offset when the data range is very 
-                                         # small compared to the minimum absolute 
-                                         # value of the data.
-
-#axes.unicode_minus  : True    # use unicode for the minus symbol
-                               # rather than hyphen.  See
-                               # http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
-#axes.color_cycle    : b, g, r, c, m, y, k  # color cycle for plot lines
-                                            # as list of string colorspecs:
-                                            # single letter, long name, or
-                                            # web-style hex
-#axes.xmargin        : 0  # x margin.  See `axes.Axes.margins`
-#axes.ymargin        : 0  # y margin See `axes.Axes.margins`
-
-#polaraxes.grid      : True    # display grid on polar axes
-#axes3d.grid         : True    # display grid on 3d axes
-
-### TICKS
-# see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
-#xtick.major.size     : 4      # major tick size in points
-#xtick.minor.size     : 2      # minor tick size in points
-#xtick.major.width    : 0.5    # major tick width in points
-#xtick.minor.width    : 0.5    # minor tick width in points
-#xtick.major.pad      : 4      # distance to major tick label in points
-#xtick.minor.pad      : 4      # distance to the minor tick label in points
-#xtick.color          : k      # color of the tick labels
-#xtick.labelsize      : medium # fontsize of the tick labels
-#xtick.direction      : in     # direction: in, out, or inout
-
-#ytick.major.size     : 4      # major tick size in points
-#ytick.minor.size     : 2      # minor tick size in points
-#ytick.major.width    : 0.5    # major tick width in points
-#ytick.minor.width    : 0.5    # minor tick width in points
-#ytick.major.pad      : 4      # distance to major tick label in points
-#ytick.minor.pad      : 4      # distance to the minor tick label in points
-#ytick.color          : k      # color of the tick labels
-#ytick.labelsize      : medium # fontsize of the tick labels
-#ytick.direction      : in     # direction: in, out, or inout
-
-
-### GRIDS
-#grid.color       :   black   # grid color
-#grid.linestyle   :   :       # dotted
-#grid.linewidth   :   0.5     # in points
-#grid.alpha       :   1.0     # transparency, between 0.0 and 1.0
-
-### Legend
-#legend.fancybox      : False  # if True, use a rounded box for the
-                               # legend, else a rectangle
-#legend.isaxes        : True
-#legend.numpoints     : 2      # the number of points in the legend line
-#legend.fontsize      : large
-#legend.borderpad     : 0.5    # border whitespace in fontsize units
-#legend.markerscale   : 1.0    # the relative size of legend markers vs. original
-# the following dimensions are in axes coords
-#legend.labelspacing  : 0.5    # the vertical space between the legend entries in fraction of fontsize
-#legend.handlelength  : 2.     # the length of the legend lines in fraction of fontsize
-#legend.handleheight  : 0.7     # the height of the legend handle in fraction of fontsize
-#legend.handletextpad : 0.8    # the space between the legend line and legend text in fraction of fontsize
-#legend.borderaxespad : 0.5   # the border between the axes and legend edge in fraction of fontsize
-#legend.columnspacing : 2.    # the border between the axes and legend edge in fraction of fontsize
-#legend.shadow        : False
-#legend.frameon       : True   # whether or not to draw a frame around legend
-#legend.framealpha    : 1.0    # opacity of of legend frame
-#legend.scatterpoints : 3 # number of scatter points
-
-### FIGURE
-# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
-#figure.titlesize : medium     # size of the figure title
-#figure.titleweight : normal   # weight of the figure title
-#figure.figsize   : 8, 6    # figure size in inches
-#figure.dpi       : 80      # figure dots per inch
-#figure.facecolor : 0.75    # figure facecolor; 0.75 is scalar gray
-#figure.edgecolor : white   # figure edgecolor
-#figure.autolayout : False  # When True, automatically adjust subplot
-                            # parameters to make the plot fit the figure
-#figure.max_open_warning : 20  # The maximum number of figures to open through
-                               # the pyplot interface before emitting a warning.
-                               # If less than one this feature is disabled.
-
-# The figure subplot parameters.  All dimensions are a fraction of the
-# figure width or height
-#figure.subplot.left    : 0.125  # the left side of the subplots of the figure
-#figure.subplot.right   : 0.9    # the right side of the subplots of the figure
-#figure.subplot.bottom  : 0.1    # the bottom of the subplots of the figure
-#figure.subplot.top     : 0.9    # the top of the subplots of the figure
-#figure.subplot.wspace  : 0.2    # the amount of width reserved for blank space between subplots
-#figure.subplot.hspace  : 0.2    # the amount of height reserved for white space between subplots
-
-### IMAGES
-#image.aspect : equal             # equal | auto | a number
-#image.interpolation  : bilinear  # see help(imshow) for options
-#image.cmap   : jet               # gray | jet etc...
-#image.lut    : 256               # the size of the colormap lookup table
-#image.origin : upper             # lower | upper
-#image.resample  : False
-
-### CONTOUR PLOTS
-#contour.negative_linestyle :  dashed # dashed | solid
-
-### Agg rendering
-### Warning: experimental, 2008/10/10
-#agg.path.chunksize : 0           # 0 to disable; values in the range
-                                  # 10000 to 100000 can improve speed slightly
-                                  # and prevent an Agg rendering failure
-                                  # when plotting very large data sets,
-                                  # especially if they are very gappy.
-                                  # It may cause minor artifacts, though.
-                                  # A value of 20000 is probably a good
-                                  # starting point.
-### SAVING FIGURES
-#path.simplify : True   # When True, simplify paths by removing "invisible"
-                        # points to reduce file size and increase rendering
-                        # speed
-#path.simplify_threshold : 0.1  # The threshold of similarity below which
-                                # vertices will be removed in the simplification
-                                # process
-#path.snap : True # When True, rectilinear axis-aligned paths will be snapped to
-                  # the nearest pixel when certain criteria are met.  When False,
-                  # paths will never be snapped.
-#path.sketch : None # May be none, or a 3-tuple of the form (scale, length,
-                    # randomness).
-                    # *scale* is the amplitude of the wiggle
-                    # perpendicular to the line (in pixels).  *length*
-                    # is the length of the wiggle along the line (in
-                    # pixels).  *randomness* is the factor by which
-                    # the length is randomly scaled.
-
-# the default savefig params can be different from the display params
-# e.g., you may want a higher resolution, or to make the figure
-# background white
-#savefig.dpi         : 100      # figure dots per inch
-#savefig.facecolor   : white    # figure facecolor when saving
-#savefig.edgecolor   : white    # figure edgecolor when saving
-#savefig.format      : png      # png, ps, pdf, svg
-#savefig.bbox        : standard # 'tight' or 'standard'.
-                                # 'tight' is incompatible with pipe-based animation
-                                # backends but will workd with temporary file based ones:
-                                # e.g. setting animation.writer to ffmpeg will not work,
-                                # use ffmpeg_file instead
-#savefig.pad_inches  : 0.1      # Padding to be used when bbox is set to 'tight'
-#savefig.jpeg_quality: 95       # when a jpeg is saved, the default quality parameter.
-#savefig.directory   : ~        # default directory in savefig dialog box,
-                                # leave empty to always use current working directory
-#savefig.transparent : False    # setting that controls whether figures are saved with a 
-                                # transparent background by default
-
-# tk backend params
-#tk.window_focus   : False    # Maintain shell focus for TkAgg
-
-# ps backend params
-#ps.papersize      : letter   # auto, letter, legal, ledger, A0-A10, B0-B10
-#ps.useafm         : False    # use of afm fonts, results in small files
-#ps.usedistiller   : False    # can be: None, ghostscript or xpdf
-                                          # Experimental: may produce smaller files.
-                                          # xpdf intended for production of publication quality files,
-                                          # but requires ghostscript, xpdf and ps2eps
-#ps.distiller.res  : 6000      # dpi
-#ps.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
-
-# pdf backend params
-#pdf.compression   : 6 # integer from 0 to 9
-                       # 0 disables compression (good for debugging)
-#pdf.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
-
-# svg backend params
-#svg.image_inline : True       # write raster image data directly into the svg file
-#svg.image_noscale : False     # suppress scaling of raster data embedded in SVG
-#svg.fonttype : 'path'         # How to handle SVG fonts:
-#    'none': Assume fonts are installed on the machine where the SVG will be viewed.
-#    'path': Embed characters as paths -- supported by most SVG renderers
-#    'svgfont': Embed characters as SVG fonts -- supported only by Chrome,
-#               Opera and Safari
-
-# docstring params
-#docstring.hardcopy = False  # set this when you want to generate hardcopy docstring
-
-# Set the verbose flags.  This controls how much information
-# matplotlib gives you at runtime and where it goes.  The verbosity
-# levels are: silent, helpful, debug, debug-annoying.  Any level is
-# inclusive of all the levels below it.  If your setting is "debug",
-# you'll get all the debug and helpful messages.  When submitting
-# problems to the mailing-list, please set verbose to "helpful" or "debug"
-# and paste the output into your report.
-#
-# The "fileo" gives the destination for any calls to verbose.report.
-# These objects can a filename, or a filehandle like sys.stdout.
-#
-# You can override the rc default verbosity from the command line by
-# giving the flags --verbose-LEVEL where LEVEL is one of the legal
-# levels, e.g., --verbose-helpful.
-#
-# You can access the verbose instance in your code
-#   from matplotlib import verbose.
-#verbose.level  : silent      # one of silent, helpful, debug, debug-annoying
-#verbose.fileo  : sys.stdout  # a log filename, sys.stdout or sys.stderr
-
-# Event keys to interact with figures/plots via keyboard.
-# Customize these settings according to your needs.
-# Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
-
-#keymap.fullscreen : f               # toggling
-#keymap.home : h, r, home            # home or reset mnemonic
-#keymap.back : left, c, backspace    # forward / backward keys to enable
-#keymap.forward : right, v           #   left handed quick navigation
-#keymap.pan : p                      # pan mnemonic
-#keymap.zoom : o                     # zoom mnemonic
-#keymap.save : s                     # saving current figure
-#keymap.quit : ctrl+w, cmd+w         # close the current figure
-#keymap.grid : g                     # switching on/off a grid in current axes
-#keymap.yscale : l                   # toggle scaling of y-axes ('log'/'linear')
-#keymap.xscale : L, k                # toggle scaling of x-axes ('log'/'linear')
-#keymap.all_axes : a                 # enable all axes
-
-# Control location of examples data files
-#examples.directory : ''   # directory to look in for custom installation
-
-###ANIMATION settings
-#animation.writer : ffmpeg         # MovieWriter 'backend' to use
-#animation.codec : mpeg4           # Codec to use for writing movie
-#animation.bitrate: -1             # Controls size/quality tradeoff for movie.
-                                   # -1 implies let utility auto-determine
-#animation.frame_format: 'png'     # Controls frame format used by temp files
-#animation.ffmpeg_path: 'ffmpeg'   # Path to ffmpeg binary. Without full path
-                                   # $PATH is searched
-#animation.ffmpeg_args: ''         # Additional arguments to pass to ffmpeg
-#animation.avconv_path: 'avconv'   # Path to avconv binary. Without full path
-                                   # $PATH is searched
-#animation.avconv_args: ''         # Additional arguments to pass to avconv
-#animation.mencoder_path: 'mencoder'
-                                   # Path to mencoder binary. Without full path
-                                   # $PATH is searched
-#animation.mencoder_args: ''       # Additional arguments to pass to mencoder
-#animation.convert_path: 'convert' # Path to ImageMagick's convert binary.
-                                   # On Windows use the full path since convert 
-                                   # is also the name of a system tool.
diff --git a/meson.build b/meson.build
new file mode 100644
index 000000000000..54249473fe8e
--- /dev/null
+++ b/meson.build
@@ -0,0 +1,46 @@
+project(
+  'matplotlib',
+  'c', 'cpp',
+  version: run_command(
+    # Also keep version in sync with pyproject.toml.
+    find_program('python3', 'python', version: '>= 3.11'),
+    '-m', 'setuptools_scm', check: true).stdout().strip(),
+  # qt_editor backend is MIT
+  # ResizeObserver at end of lib/matplotlib/backends/web_backend/js/mpl.js is CC0
+  # Carlogo, STIX and Computer Modern is OFL
+  # DejaVu is Bitstream Vera and Public Domain
+  license: 'PSF-2.0 AND MIT AND CC0-1.0 AND OFL-1.1 AND Bitstream-Vera AND Public-Domain',
+  license_files: [
+    'LICENSE/LICENSE',
+    'LICENSE/LICENSE_AMSFONTS',
+    'LICENSE/LICENSE_BAKOMA',
+    'LICENSE/LICENSE_CARLOGO',
+    'LICENSE/LICENSE_COLORBREWER',
+    'LICENSE/LICENSE_COURIERTEN',
+    'LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER',
+    'LICENSE/LICENSE_QT4_EDITOR',
+    'LICENSE/LICENSE_SOLARIZED',
+    'LICENSE/LICENSE_STIX',
+    'LICENSE/LICENSE_YORICK',
+  ],
+  meson_version: '>=1.1.0',
+  default_options: [
+    'b_lto=true',
+    'cpp_std=c++17',
+    'auto_features=disabled',  # Force FreeType to avoid extra dependencies.
+  ],
+)
+
+cc = meson.get_compiler('c')
+cpp = meson.get_compiler('cpp')
+
+# https://mesonbuild.com/Python-module.html
+py_mod = import('python')
+py3 = py_mod.find_installation(pure: false)
+py3_dep = py3.dependency()
+
+pybind11_dep = dependency('pybind11', version: '>=2.13.2')
+
+subdir('extern')
+subdir('src')
+subdir('lib')
diff --git a/meson.options b/meson.options
new file mode 100644
index 000000000000..d21cbedb9bb9
--- /dev/null
+++ b/meson.options
@@ -0,0 +1,30 @@
+# Options may be set by passing through `pip` or `build` via meson-python:
+# https://meson-python.readthedocs.io/en/stable/how-to-guides/config-settings.html
+
+# By default, Matplotlib downloads and builds its own copies of FreeType and of
+# Qhull. You may use the following options to instead link against a system
+# FreeType/Qhull. As an exception, Matplotlib defaults to the system version of
+# FreeType on AIX.
+option('system-freetype', type: 'boolean', value: false,
+       description: 'Build against system version of FreeType')
+option('system-qhull', type: 'boolean', value: false,
+       description: 'Build against system version of Qhull')
+
+# Some of Matplotlib's components are optional: the MacOSX backend (installed
+# by default on macOS; requires the Cocoa headers included with XCode). You
+# can control whether they are installed using the following options. Note that
+# the MacOSX backend is never built on Linux or Windows, regardless of the
+# config value.
+option('macosx', type: 'boolean', value: true,
+       description: 'Enable MacOSX backend (requires Cocoa)')
+
+# User-configurable options
+#
+# Default backend, one of: Agg, Cairo, GTK3Agg, GTK3Cairo, GTK4Agg, GTK4Cairo,
+# MacOSX, Pdf, Ps, QtAgg, QtCairo, SVG, TkAgg, WX, WXAgg.
+#
+# The Agg, Ps, Pdf and SVG backends do not require external dependencies.  Do
+# not choose MacOSX if you have disabled the relevant extension modules.  The
+# default is determined by fallback.
+option('rcParams-backend', type: 'string', value: 'auto',
+       description: 'Set default backend at runtime')
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 000000000000..70b078a73d27
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,342 @@
+[project]
+name = "matplotlib"
+authors = [
+  {email = "matplotlib-users@python.org"},
+  {name = "John D. Hunter, Michael Droettboom"}
+]
+description = "Python plotting package"
+readme = "README.md"
+license = { file = "LICENSE/LICENSE" }
+dynamic = ["version"]
+classifiers=[
+    "Development Status :: 5 - Production/Stable",
+    "Framework :: Matplotlib",
+    "Intended Audience :: Science/Research",
+    "Intended Audience :: Education",
+    "License :: OSI Approved :: Python Software Foundation License",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Topic :: Scientific/Engineering :: Visualization",
+]
+
+# When updating the list of dependencies, add an api_changes/development
+# entry and also update the following places:
+# - lib/matplotlib/__init__.py (matplotlib._check_versions())
+# - requirements/testing/minver.txt
+# - doc/devel/dependencies.rst
+# - .github/workflows/tests.yml
+# - environment.yml
+dependencies = [
+    "contourpy >= 1.0.1",
+    "cycler >= 0.10",
+    "fonttools >= 4.22.0",
+    "kiwisolver >= 1.3.1",
+    "numpy >= 1.25",
+    "packaging >= 20.0",
+    "pillow >= 9",
+    "pyparsing >= 3",
+    "python-dateutil >= 2.7",
+]
+# Also keep in sync with find_program of meson.build.
+requires-python = ">=3.11"
+
+[project.optional-dependencies]
+# Should be a copy of the build dependencies below.
+dev = [
+    "meson-python>=0.13.1,!=0.17.*",
+    "pybind11>=2.13.2,!=2.13.3",
+    "setuptools_scm>=7",
+    # Not required by us but setuptools_scm without a version, cso _if_
+    # installed, then setuptools_scm 8 requires at least this version.
+    # Unfortunately, we can't do a sort of minimum-if-installed dependency, so
+    # we need to keep this for now until setuptools_scm _fully_ drops
+    # setuptools.
+    "setuptools>=64",
+]
+
+[project.urls]
+"Homepage" = "https://matplotlib.org"
+"Download" = "https://matplotlib.org/stable/install/index.html"
+"Documentation" = "https://matplotlib.org"
+"Source Code" = "https://github.com/matplotlib/matplotlib"
+"Bug Tracker" = "https://github.com/matplotlib/matplotlib/issues"
+"Forum" = "https://discourse.matplotlib.org/"
+"Donate" = "https://numfocus.org/donate-to-matplotlib"
+
+[build-system]
+build-backend = "mesonpy"
+# Also keep in sync with optional dependencies above.
+requires = [
+    # meson-python 0.17.x breaks symlinks in sdists. You can remove this pin if
+    # you really need it and aren't using an sdist.
+    "meson-python>=0.13.1,!=0.17.*",
+    "pybind11>=2.13.2,!=2.13.3",
+    "setuptools_scm>=7",
+]
+
+[tool.meson-python.args]
+install = ['--tags=data,python-runtime,runtime']
+
+[tool.setuptools_scm]
+version_scheme = "release-branch-semver"
+local_scheme = "node-and-date"
+parentdir_prefix_version = "matplotlib-"
+fallback_version = "0.0+UNKNOWN"
+
+[tool.isort]
+known_pydata = "numpy, matplotlib.pyplot"
+known_firstparty = "matplotlib,mpl_toolkits"
+sections = "FUTURE,STDLIB,THIRDPARTY,PYDATA,FIRSTPARTY,LOCALFOLDER"
+force_sort_within_sections = true
+
+[tool.ruff]
+exclude = [
+    ".git",
+    "build",
+    "doc/gallery",
+    "doc/tutorials",
+    "tools/gh_api.py",
+    ".tox",
+    ".eggs",
+    # TODO: fix .ipynb files
+    "*.ipynb"
+]
+line-length = 88
+target-version = "py311"
+
+[tool.ruff.lint]
+ignore = [
+    "D100",
+    "D101",
+    "D102",
+    "D103",
+    "D104",
+    "D105",
+    "D106",
+    "D107",
+    "D200",
+    "D202",
+    "D203",
+    "D204",
+    "D205",
+    "D212",
+    "D301",
+    "D400",
+    "D401",
+    "D402",
+    "D403",
+    "D404",
+    "D413",
+    "D415",
+    "D416",
+    "D417",
+    "E24",
+    "E266",
+    "E305",
+    "E306",
+    "E721",
+    "E741",
+    "F841",
+]
+preview = true
+explicit-preview-rules = true
+select = [
+    "D",
+    "E",
+    "F",
+    "W",
+    # The following error codes require the preview mode to be enabled.
+    "E201",
+    "E202",
+    "E203",
+    "E221",
+    "E251",
+    "E261",
+    "E272",
+    "E302",
+    "E703",
+]
+
+# The following error codes are not supported by ruff v0.2.0
+# They are planned and should be selected once implemented
+# even if they are deselected by default.
+# These are primarily whitespace/corrected by autoformatters (which we don't use).
+# See https://github.com/charliermarsh/ruff/issues/2402 for status on implementation
+external = [
+  "E122",
+]
+
+[tool.ruff.lint.pydocstyle]
+convention = "numpy"
+
+[tool.ruff.lint.per-file-ignores]
+"*.pyi" = ["E501"]
+"doc/conf.py" = ["E402"]
+"galleries/examples/animation/frame_grabbing_sgskip.py" = ["E402"]
+"galleries/examples/images_contours_and_fields/tricontour_demo.py" = ["E201"]
+"galleries/examples/images_contours_and_fields/tripcolor_demo.py" = ["E201"]
+"galleries/examples/images_contours_and_fields/triplot_demo.py" = ["E201"]
+"galleries/examples/lines_bars_and_markers/marker_reference.py" = ["E402"]
+"galleries/examples/misc/print_stdout_sgskip.py" = ["E402"]
+"galleries/examples/misc/table_demo.py" = ["E201"]
+"galleries/examples/style_sheets/bmh.py" = ["E501"]
+"galleries/examples/subplots_axes_and_figures/demo_constrained_layout.py" = ["E402"]
+"galleries/examples/text_labels_and_annotations/custom_legends.py" = ["E402"]
+"galleries/examples/ticks/date_concise_formatter.py" = ["E402"]
+"galleries/examples/ticks/date_formatters_locators.py" = ["F401"]
+"galleries/examples/user_interfaces/embedding_in_gtk3_panzoom_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/embedding_in_gtk3_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/embedding_in_gtk4_panzoom_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/embedding_in_gtk4_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/gtk3_spreadsheet_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/gtk4_spreadsheet_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/mpl_with_glade3_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/pylab_with_gtk3_sgskip.py" = ["E402"]
+"galleries/examples/user_interfaces/pylab_with_gtk4_sgskip.py" = ["E402"]
+"galleries/examples/userdemo/pgf_preamble_sgskip.py" = ["E402"]
+
+"lib/matplotlib/__init__.py" = ["F822"]
+"lib/matplotlib/_cm.py" = ["E202", "E203", "E302"]
+"lib/matplotlib/_mathtext.py" = ["E221"]
+"lib/matplotlib/_mathtext_data.py" = ["E203"]
+"lib/matplotlib/backends/backend_template.py" = ["F401"]
+"lib/matplotlib/pylab.py" = ["F401", "F403"]
+"lib/matplotlib/pyplot.py" = ["F811"]
+"lib/matplotlib/tests/test_mathtext.py" = ["E501"]
+"lib/matplotlib/transforms.py" = ["E201"]
+"lib/matplotlib/tri/_triinterpolate.py" = ["E201", "E221"]
+"lib/mpl_toolkits/axes_grid1/axes_size.py" = ["E272"]
+"lib/mpl_toolkits/axisartist/angle_helper.py" = ["E221"]
+"lib/mpl_toolkits/mplot3d/proj3d.py" = ["E201"]
+
+"galleries/users_explain/artists/paths.py" = ["E402"]
+"galleries/users_explain/quick_start.py" = ["E402"]
+"galleries/users_explain/artists/patheffects_guide.py" = ["E402"]
+"galleries/users_explain/artists/transforms_tutorial.py" = ["E402", "E501"]
+"galleries/users_explain/colors/colormaps.py" = ["E501"]
+"galleries/users_explain/colors/colors.py" = ["E402"]
+"galleries/tutorials/artists.py" = ["E402"]
+"galleries/users_explain/axes/constrainedlayout_guide.py" = ["E402"]
+"galleries/users_explain/axes/legend_guide.py" = ["E402"]
+"galleries/users_explain/axes/tight_layout_guide.py" = ["E402"]
+"galleries/users_explain/animations/animations.py" = ["E501"]
+"galleries/tutorials/images.py" = ["E501"]
+"galleries/tutorials/pyplot.py" = ["E402", "E501"]
+"galleries/users_explain/text/annotations.py" = ["E402", "E501"]
+"galleries/users_explain/text/mathtext.py" = ["E501"]
+"galleries/users_explain/text/text_intro.py" = ["E402"]
+"galleries/users_explain/text/text_props.py" = ["E501"]
+
+[tool.mypy]
+ignore_missing_imports = true
+enable_error_code = [
+  "ignore-without-code",
+  "redundant-expr",
+  "truthy-bool",
+]
+enable_incomplete_feature = [
+  "Unpack",
+]
+exclude = [
+  #stubtest
+  ".*/matplotlib/(sphinxext|backends|pylab|testing/jpl_units)",
+  #mypy precommit
+  "galleries/",
+  "doc/",
+  "lib/matplotlib/backends/",
+  "lib/matplotlib/sphinxext",
+  "lib/matplotlib/testing/jpl_units",
+  "lib/mpl_toolkits/",
+  #removing tests causes errors in backends
+  "lib/matplotlib/tests/",
+  # tinypages is used for testing the sphinx ext,
+  # stubtest will import and run, opening a figure if not excluded
+  ".*/tinypages",
+  # pylab's numpy wildcard imports cause re-def failures since numpy 2.2
+  "lib/matplotlib/pylab.py",
+]
+files = [
+  "lib/matplotlib",
+]
+follow_imports = "silent"
+warn_unreachable = true
+
+[tool.rstcheck]
+ignore_directives = [
+    # matplotlib.sphinxext.mathmpl
+    "mathmpl",
+    # matplotlib.sphinxext.plot_directive
+    "plot",
+    # sphinxext.math_symbol_table
+    "math_symbol_table",
+    # sphinxext.redirect_from
+    "redirect-from",
+    # sphinx-design
+    "card",
+    "dropdown",
+    "grid",
+    "tab-set",
+    # sphinx-gallery
+    "minigallery",
+    "image-sg",
+    # sphinx.ext.autodoc
+    "automodule",
+    "autoclass",
+    "autofunction",
+    "autodata",
+    "automethod",
+    "autoattribute",
+    "autoproperty",
+    # sphinx.ext.autosummary
+    "autosummary",
+    # sphinx.ext.ifconfig
+    "ifconfig",
+    # sphinx.ext.inheritance_diagram
+    "inheritance-diagram",
+    # sphinx-tags
+    "tags",
+    # include directive is causing attribute errors
+    "include"
+]
+ignore_roles = [
+    # matplotlib.sphinxext.mathmpl
+    "mathmpl",
+    "math-stix",
+    # matplotlib.sphinxext.roles
+    "rc",
+    # sphinxext.github
+    "ghissue",
+    "ghpull",
+    "ghuser",
+    # sphinx-design
+    "octicon",
+]
+ignore_substitutions = [
+    "Artist",
+    "Axes",
+    "Axis",
+    "Figure",
+    "release"
+]
+
+ignore_messages = [
+    "Hyperlink target \".*\" is not referenced.",
+    "Duplicate implicit target name: \".*\".",
+    "Duplicate explicit target name: \".*\".",
+    # sphinx.ext.intersphinx directives
+    "No role entry for \"external+.*\".",
+    "Unknown interpreted text role \"external+.*\"."
+]
+
+[tool.pytest.ini_options]
+# Because tests can be run from an installed copy, most of our Pytest
+# configuration is in the `pytest_configure` function in
+# `lib/matplotlib/testing/conftest.py`.
+minversion = "7.0"
+testpaths = ["lib"]
+addopts = [
+    "--import-mode=importlib",
+]
diff --git a/release/win32/data/setupwin.py b/release/win32/data/setupwin.py
deleted file mode 100644
index e1b33a3eca9d..000000000000
--- a/release/win32/data/setupwin.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from __future__ import print_function
-from distutils import cygwinccompiler
-
-try:
-    # Python 2.6
-    # Replace the msvcr func to return an []
-    cygwinccompiler.get_msvcr
-    cygwinccompiler.get_msvcr = lambda: []
-
-except AttributeError:
-    pass
-
-execfile('setup.py')
diff --git a/release/win32/data/setupwinegg.py b/release/win32/data/setupwinegg.py
deleted file mode 100644
index d9340e82a009..000000000000
--- a/release/win32/data/setupwinegg.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from __future__ import print_function
-from distutils import cygwinccompiler
-
-try:
-    # Python 2.6
-    # Replace the msvcr func to return an empty list
-    cygwinccompiler.get_msvcr
-    cygwinccompiler.get_msvcr = lambda: []
-
-except AttributeError:
-    pass
-
-from setuptools import setup
-execfile('setup.py',
-         {'additional_params' :
-         {'namespace_packages' : ['mpl_toolkits']}})
diff --git a/requirements/dev/build-requirements.txt b/requirements/dev/build-requirements.txt
new file mode 100644
index 000000000000..4d2a098c3c4f
--- /dev/null
+++ b/requirements/dev/build-requirements.txt
@@ -0,0 +1,3 @@
+pybind11>=2.13.2,!=2.13.3
+meson-python
+setuptools-scm
diff --git a/requirements/dev/dev-requirements.txt b/requirements/dev/dev-requirements.txt
new file mode 100644
index 000000000000..3208949ba0e8
--- /dev/null
+++ b/requirements/dev/dev-requirements.txt
@@ -0,0 +1,5 @@
+-r build-requirements.txt
+-r ../doc/doc-requirements.txt
+-r ../testing/all.txt
+-r ../testing/extra.txt
+ruff
diff --git a/requirements/doc/doc-requirements.txt b/requirements/doc/doc-requirements.txt
new file mode 100644
index 000000000000..77cb606130b0
--- /dev/null
+++ b/requirements/doc/doc-requirements.txt
@@ -0,0 +1,26 @@
+# Requirements for building docs
+#
+# You will first need a matching Matplotlib installation
+# e.g (from the Matplotlib root directory)
+#     pip install --no-build-isolation --editable .[dev]
+#
+# Install the documentation requirements with:
+#     pip install -r requirements/doc/doc-requirements.txt
+#
+sphinx>=5.1.0,!=6.1.2
+colorspacious
+ipython
+ipywidgets
+ipykernel
+numpydoc>=1.0
+packaging>=20
+pydata-sphinx-theme~=0.15.0
+mpl-sphinx-theme~=3.9.0
+pyyaml
+PyStemmer
+sphinxcontrib-svg2pdfconverter>=1.1.0
+sphinxcontrib-video>=0.2.1
+sphinx-copybutton
+sphinx-design
+sphinx-gallery[parallel]>=0.12.0
+sphinx-tags>=0.4.0
diff --git a/requirements/testing/all.txt b/requirements/testing/all.txt
new file mode 100644
index 000000000000..e386924a9b67
--- /dev/null
+++ b/requirements/testing/all.txt
@@ -0,0 +1,13 @@
+# pip requirements for all the CI builds
+
+black<24
+certifi
+coverage!=6.3
+psutil
+pytest!=4.6.0,!=5.4.0,!=8.1.0
+pytest-cov
+pytest-rerunfailures
+pytest-timeout
+pytest-xdist
+pytest-xvfb
+tornado
diff --git a/requirements/testing/extra.txt b/requirements/testing/extra.txt
new file mode 100644
index 000000000000..e0d84d71c781
--- /dev/null
+++ b/requirements/testing/extra.txt
@@ -0,0 +1,12 @@
+# Extra pip requirements
+
+--prefer-binary
+ipykernel
+# jupyter/nbconvert#1970 for the 7.3 series exclusions
+nbconvert[execute]!=6.0.0,!=6.0.1,!=7.3.0,!=7.3.1
+nbformat!=5.0.0,!=5.0.1
+pandas!=0.25.0
+pikepdf
+pytz
+pywin32; sys.platform == 'win32'
+xarray
diff --git a/requirements/testing/minver.txt b/requirements/testing/minver.txt
new file mode 100644
index 000000000000..ee55f6c7b1bf
--- /dev/null
+++ b/requirements/testing/minver.txt
@@ -0,0 +1,23 @@
+# Extra pip requirements for the minimum-version CI run
+
+contourpy==1.0.1
+cycler==0.10
+fonttools==4.22.0
+importlib-resources==3.2.0
+kiwisolver==1.3.2
+meson-python==0.13.1
+meson==1.1.0
+numpy==1.25.0
+packaging==20.0
+pillow==9.0.1
+pyparsing==3.0.0
+pytest==7.0.0
+python-dateutil==2.7
+
+# Test ipython/matplotlib-inline before backend mapping moved to mpl.
+# This should be tested for a reasonably long transition period,
+# but we will eventually remove the test when we no longer support
+# ipython/matplotlib-inline versions from before the transition.
+ipython==7.29.0
+ipykernel==5.5.6
+matplotlib-inline<0.1.7
diff --git a/requirements/testing/mypy.txt b/requirements/testing/mypy.txt
new file mode 100644
index 000000000000..343517263f40
--- /dev/null
+++ b/requirements/testing/mypy.txt
@@ -0,0 +1,26 @@
+# Extra pip requirements for the GitHub Actions mypy build
+
+mypy>=1.9
+typing-extensions>=4.6
+
+# Extra stubs distributed separately from the main pypi package
+pandas-stubs
+types-pillow
+types-python-dateutil
+types-psutil
+
+sphinx
+
+# Default requirements, included here because mpl itself does not
+# need to be installed for mypy to run, but deps are needed
+# and pip has no --deps-only install command
+contourpy>=1.0.1
+cycler>=0.10
+fonttools>=4.22.0
+kiwisolver>=1.3.1
+packaging>=20.0
+pillow>=9
+pyparsing>=3
+python-dateutil>=2.7
+setuptools_scm>=7
+setuptools>=64
diff --git a/setup.cfg.template b/setup.cfg.template
deleted file mode 100644
index 09fd92f7134e..000000000000
--- a/setup.cfg.template
+++ /dev/null
@@ -1,85 +0,0 @@
-# Rename this file to setup.cfg to modify matplotlib's
-# build options.
-
-[egg_info]
-
-[directories]
-# Uncomment to override the default basedir in setupext.py.
-# This can be a single directory or a comma-delimited list of directories.
-#basedirlist = /usr
-
-[status]
-# To suppress display of the dependencies and their versions
-# at the top of the build log, uncomment the following line:
-#suppress = False
-
-[packages]
-# There are a number of subpackages of matplotlib that are considered
-# optional.  They are all installed by default, but they may be turned
-# off here.
-#
-#tests = True
-#sample_data = True
-#toolkits = True
-# Tests for the toolkits are only automatically installed
-# if the tests and toolkits packages are also getting installed.
-#toolkits_tests = auto
-
-[gui_support]
-# Matplotlib supports multiple GUI toolkits, including Cocoa,
-# GTK, Fltk, MacOSX, Qt, Qt4, Tk, and WX. Support for many of
-# these toolkits requires AGG, the Anti-Grain Geometry library,
-# which is provided by matplotlib and built by default.
-#
-# Some backends are written in pure Python, and others require
-# extension code to be compiled. By default, matplotlib checks for
-# these GUI toolkits during installation and, if present, compiles the
-# required extensions to support the toolkit.
-#
-# - GTK 2.x support of any kind requires the GTK runtime environment
-#   headers and PyGTK.
-# - Tk support requires Tk development headers and Tkinter.
-# - Mac OSX backend requires the Cocoa headers included with XCode.
-# - Windowing is MS-Windows specific, and requires the "windows.h"
-#   header.
-#
-# The other GUI toolkits do not require any extension code, and can be
-# used as long as the libraries are installed on your system --
-# therefore they are installed unconditionally.
-#
-# You can uncomment any the following lines to change this
-# behavior. Acceptible values are:
-#
-#     True: build the extension. Exits with a warning if the
-#           required dependencies are not available
-#     False: do not build the extension
-#     auto: build if the required dependencies are available,
-#           otherwise skip silently. This is the default
-#           behavior
-#
-#agg = auto
-#cairo = auto
-#gtk = auto
-#gtk3agg = auto
-#gtk3cairo = auto
-#gtkagg = auto
-#macosx = auto
-#pyside = auto
-#qt4agg = auto
-#tkagg = auto
-#windowing = auto
-#wxagg = auto
-
-[rc_options]
-# User-configurable options
-#
-# Default backend, one of: Agg, Cairo, CocoaAgg, GTK, GTKAgg, GTKCairo,
-# FltkAgg, MacOSX, Pdf, Ps, QtAgg, Qt4Agg, SVG, TkAgg, WX, WXAgg.
-#
-# The Agg, Ps, Pdf and SVG backends do not require external
-# dependencies. Do not choose GTK, GTKAgg, GTKCairo, MacOSX, or TkAgg
-# if you have disabled the relevent extension modules.  Agg will be used
-# by default.
-#
-#backend = Agg
-#
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 5ff3357fc704..000000000000
--- a/setup.py
+++ /dev/null
@@ -1,267 +0,0 @@
-"""
-The matplotlib build options can be modified with a setup.cfg file. See
-setup.cfg.template for more information.
-"""
-
-from __future__ import print_function, absolute_import
-
-# This needs to be the very first thing to use distribute
-from distribute_setup import use_setuptools
-use_setuptools()
-
-import sys
-
-# distutils is breaking our sdists for files in symlinked dirs.
-# distutils will copy if os.link is not available, so this is a hack
-# to force copying
-import os
-try:
-    del os.link
-except AttributeError:
-    pass
-
-# This 'if' statement is needed to prevent spawning infinite processes
-# on Windows
-if __name__ == '__main__':
-    # BEFORE importing distutils, remove MANIFEST. distutils doesn't properly
-    # update it when the contents of directories change.
-    if os.path.exists('MANIFEST'):
-        os.remove('MANIFEST')
-
-try:
-    from setuptools import setup
-except ImportError:
-    try:
-        from setuptools.core import setup
-    except ImportError:
-        from distutils.core import setup
-
-# The setuptools version of sdist adds a setup.cfg file to the tree.
-# We don't want that, so we simply remove it, and it will fall back to
-# vanilla distutils.
-try:
-    from setuptools.command import sdist
-except ImportError:
-    pass
-else:
-    del sdist.sdist.make_release_tree
-
-from distutils.dist import Distribution
-
-import setupext
-from setupext import print_line, print_raw, print_message, print_status
-
-# Get the version from the source code
-__version__ = setupext.Matplotlib().check()
-
-
-# These are the packages in the order we want to display them.  This
-# list may contain strings to create section headers for the display.
-mpl_packages = [
-    'Building Matplotlib',
-    setupext.Matplotlib(),
-    setupext.Python(),
-    setupext.Platform(),
-    'Required dependencies and extensions',
-    setupext.Numpy(),
-    setupext.Six(),
-    setupext.Dateutil(),
-    setupext.Pytz(),
-    setupext.Tornado(),
-    setupext.Pyparsing(),
-    setupext.LibAgg(),
-    setupext.FreeType(),
-    setupext.FT2Font(),
-    setupext.Png(),
-    setupext.Qhull(),
-    setupext.Image(),
-    setupext.TTConv(),
-    setupext.Path(),
-    setupext.Contour(),
-    setupext.Delaunay(),
-    setupext.QhullWrap(),
-    setupext.Tri(),
-    'Optional subpackages',
-    setupext.SampleData(),
-    setupext.Toolkits(),
-    setupext.Tests(),
-    setupext.Toolkits_Tests(),
-    'Optional backend extensions',
-    # These backends are listed in order of preference, the first
-    # being the most preferred.  The first one that looks like it will
-    # work will be selected as the default backend.
-    setupext.BackendMacOSX(),
-    setupext.BackendQt5(),
-    setupext.BackendQt4(),
-    setupext.BackendGtk3Agg(),
-    setupext.BackendGtk3Cairo(),
-    setupext.BackendGtkAgg(),
-    setupext.BackendTkAgg(),
-    setupext.BackendWxAgg(),
-    setupext.BackendGtk(),
-    setupext.BackendAgg(),
-    setupext.BackendCairo(),
-    setupext.Windowing(),
-    'Optional LaTeX dependencies',
-    setupext.DviPng(),
-    setupext.Ghostscript(),
-    setupext.LaTeX(),
-    setupext.PdfToPs()
-    ]
-
-
-classifiers = [
-    'Development Status :: 5 - Production/Stable',
-    'Intended Audience :: Science/Research',
-    'License :: OSI Approved :: Python Software Foundation License',
-    'Programming Language :: Python',
-    'Programming Language :: Python :: 2',
-    'Programming Language :: Python :: 3',
-    'Topic :: Scientific/Engineering :: Visualization',
-    ]
-
-# One doesn't normally see `if __name__ == '__main__'` blocks in a setup.py,
-# however, this is needed on Windows to avoid creating infinite subprocesses
-# when using multiprocessing.
-if __name__ == '__main__':
-    # These are distutils.setup parameters that the various packages add
-    # things to.
-    packages = []
-    namespace_packages = []
-    py_modules = []
-    ext_modules = []
-    package_data = {}
-    package_dir = {'': 'lib'}
-    install_requires = []
-    setup_requires = []
-    default_backend = None
-
-
-    # Go through all of the packages and figure out which ones we are
-    # going to build/install.
-    print_line()
-    print_raw("Edit setup.cfg to change the build options")
-
-    required_failed = []
-    good_packages = []
-    for package in mpl_packages:
-        if isinstance(package, str):
-            print_raw('')
-            print_raw(package.upper())
-        else:
-            try:
-                result = package.check()
-                if result is not None:
-                    message = 'yes [%s]' % result
-                    print_status(package.name, message)
-            except setupext.CheckFailed as e:
-                msg = str(e).strip()
-                if len(msg):
-                    print_status(package.name, 'no  [%s]' % msg)
-                else:
-                    print_status(package.name, 'no')
-                if not package.optional:
-                    required_failed.append(package)
-            else:
-                good_packages.append(package)
-                if isinstance(package, setupext.OptionalBackendPackage):
-                    if default_backend is None:
-                        default_backend = package.name
-    print_raw('')
-
-
-    # Abort if any of the required packages can not be built.
-    if required_failed:
-        print_line()
-        print_message(
-            "The following required packages can not "
-            "be built: %s" %
-            ', '.join(x.name for x in required_failed))
-        sys.exit(1)
-
-
-    # Now collect all of the information we need to build all of the
-    # packages.
-    for package in good_packages:
-        if isinstance(package, str):
-            continue
-        packages.extend(package.get_packages())
-        namespace_packages.extend(package.get_namespace_packages())
-        py_modules.extend(package.get_py_modules())
-        ext = package.get_extension()
-        if ext is not None:
-            ext_modules.append(ext)
-        data = package.get_package_data()
-        for key, val in data.items():
-            package_data.setdefault(key, [])
-            package_data[key] = list(set(val + package_data[key]))
-        install_requires.extend(package.get_install_requires())
-        setup_requires.extend(package.get_setup_requires())
-
-    # Write the default matplotlibrc file
-    if default_backend is None:
-        default_backend = 'svg'
-    if setupext.options['backend']:
-        default_backend = setupext.options['backend']
-    with open('matplotlibrc.template') as fd:
-        template = fd.read()
-    with open('lib/matplotlib/mpl-data/matplotlibrc', 'w') as fd:
-        fd.write(template % {'backend': default_backend})
-
-
-    # Build in verbose mode if requested
-    if setupext.options['verbose']:
-        for mod in ext_modules:
-            mod.extra_compile_args.append('-DVERBOSE')
-
-    # Finalize the extension modules so they can get the Numpy include
-    # dirs
-    for mod in ext_modules:
-        mod.finalize()
-
-    extra_args = {}
-
-    # Avoid installing setup_requires dependencies if the user just
-    # queries for information
-    if (any('--' + opt in sys.argv for opt in
-           Distribution.display_option_names + ['help']) or
-        'clean' in sys.argv):
-        setup_requires = []
-
-    # Finally, pass this all along to distutils to do the heavy lifting.
-    distrib = setup(
-        name="matplotlib",
-        version=__version__,
-        description="Python plotting package",
-        author="John D. Hunter, Michael Droettboom",
-        author_email="mdroe@stsci.edu",
-        url="http://matplotlib.org",
-        long_description="""
-        matplotlib strives to produce publication quality 2D graphics
-        for interactive graphing, scientific publishing, user interface
-        development and web application servers targeting multiple user
-        interfaces and hardcopy output formats.  There is a 'pylab' mode
-        which emulates matlab graphics.
-        """,
-        license="BSD",
-        packages=packages,
-        namespace_packages = namespace_packages,
-        platforms='any',
-        py_modules=py_modules,
-        ext_modules=ext_modules,
-        package_dir=package_dir,
-        package_data=package_data,
-        classifiers=classifiers,
-        download_url="https://downloads.sourceforge.net/project/matplotlib/matplotlib/matplotlib-{0}/matplotlib-{0}.tar.gz".format(__version__),
-
-        # List third-party Python packages that we require
-        install_requires=install_requires,
-        setup_requires=setup_requires,
-
-        # matplotlib has C/C++ extensions, so it's not zip safe.
-        # Telling setuptools this prevents it from doing an automatic
-        # check for zip safety.
-        zip_safe=False,
-
-        **extra_args
-    )
diff --git a/setupext.py b/setupext.py
deleted file mode 100755
index e6a09b22d81c..000000000000
--- a/setupext.py
+++ /dev/null
@@ -1,2123 +0,0 @@
-from __future__ import print_function, absolute_import
-
-from distutils import sysconfig
-from distutils import version
-from distutils.core import Extension
-import glob
-import io
-import multiprocessing
-import os
-import re
-import subprocess
-import sys
-import warnings
-from textwrap import fill
-
-PY3 = (sys.version_info[0] >= 3)
-
-
-try:
-    from subprocess import check_output
-except ImportError:
-    # check_output is not available in Python 2.6
-    def check_output(*popenargs, **kwargs):
-        """
-        Run command with arguments and return its output as a byte
-        string.
-
-        Backported from Python 2.7 as it's implemented as pure python
-        on stdlib.
-        """
-        process = subprocess.Popen(
-            stdout=subprocess.PIPE, *popenargs, **kwargs)
-        output, unused_err = process.communicate()
-        retcode = process.poll()
-        if retcode:
-            cmd = kwargs.get("args")
-            if cmd is None:
-                cmd = popenargs[0]
-            error = subprocess.CalledProcessError(retcode, cmd)
-            error.output = output
-            raise error
-        return output
-
-
-if sys.platform != 'win32':
-    if sys.version_info[0] < 3:
-        from commands import getstatusoutput
-    else:
-        from subprocess import getstatusoutput
-
-
-if PY3:
-    import configparser
-else:
-    import ConfigParser as configparser
-
-
-# matplotlib build options, which can be altered using setup.cfg
-options = {
-    'display_status': True,
-    'verbose': False,
-    'backend': None,
-    'basedirlist': None
-    }
-
-
-setup_cfg = os.environ.get('MPLSETUPCFG', 'setup.cfg')
-if os.path.exists(setup_cfg):
-    config = configparser.SafeConfigParser()
-    config.read(setup_cfg)
-
-    try:
-        options['display_status'] = not config.getboolean("status", "suppress")
-    except:
-        pass
-
-    try:
-        options['backend'] = config.get("rc_options", "backend")
-    except:
-        pass
-
-    try:
-        options['basedirlist'] = [
-            x.strip() for x in
-            config.get("directories", "basedirlist").split(',')]
-    except:
-        pass
-else:
-    config = None
-
-
-def get_win32_compiler():
-    """
-    Determine the compiler being used on win32.
-    """
-    # Used to determine mingw32 or msvc
-    # This is pretty bad logic, someone know a better way?
-    for v in sys.argv:
-        if 'mingw32' in v:
-            return 'mingw32'
-    return 'msvc'
-win32_compiler = get_win32_compiler()
-
-
-def extract_versions():
-    """
-    Extracts version values from the main matplotlib __init__.py and
-    returns them as a dictionary.
-    """
-    with open('lib/matplotlib/__init__.py') as fd:
-        for line in fd.readlines():
-            if (line.startswith('__version__')):
-                exec(line.strip())
-    return locals()
-
-
-def has_include_file(include_dirs, filename):
-    """
-    Returns `True` if `filename` can be found in one of the
-    directories in `include_dirs`.
-    """
-    if sys.platform == 'win32':
-        include_dirs += os.environ.get('INCLUDE', '.').split(';')
-    for dir in include_dirs:
-        if os.path.exists(os.path.join(dir, filename)):
-            return True
-    return False
-
-
-def check_include_file(include_dirs, filename, package):
-    """
-    Raises an exception if the given include file can not be found.
-    """
-    if not has_include_file(include_dirs, filename):
-        raise CheckFailed(
-            "The C/C++ header for %s (%s) could not be found.  You "
-            "may need to install the development package." %
-            (package, filename))
-
-
-def get_base_dirs():
-    """
-    Returns a list of standard base directories on this platform.
-    """
-    if options['basedirlist']:
-        return options['basedirlist']
-
-    basedir_map = {
-        'win32': ['win32_static', ],
-        'darwin': ['/usr/local/', '/usr', '/usr/X11',
-                   '/opt/X11', '/opt/local'],
-        'sunos5': [os.getenv('MPLIB_BASE') or '/usr/local', ],
-        'gnu0': ['/usr'],
-        'aix5': ['/usr/local'],
-        }
-    return basedir_map.get(sys.platform, ['/usr/local', '/usr'])
-
-
-def get_include_dirs():
-    """
-    Returns a list of standard include directories on this platform.
-    """
-    return [os.path.join(d, 'include') for d in get_base_dirs()]
-
-
-def is_min_version(found, minversion):
-    """
-    Returns `True` if `found` is at least as high a version as
-    `minversion`.
-    """
-    expected_version = version.LooseVersion(minversion)
-    found_version = version.LooseVersion(found)
-    return found_version >= expected_version
-
-
-# Define the display functions only if display_status is True.
-if options['display_status']:
-    def print_line(char='='):
-        print(char * 76)
-
-    def print_status(package, status):
-        initial_indent = "%22s: " % package
-        indent = ' ' * 24
-        print(fill(str(status), width=76,
-                   initial_indent=initial_indent,
-                   subsequent_indent=indent))
-
-    def print_message(message):
-        indent = ' ' * 24 + "* "
-        print(fill(str(message), width=76,
-                   initial_indent=indent,
-                   subsequent_indent=indent))
-
-    def print_raw(section):
-        print(section)
-else:
-    def print_line(*args, **kwargs):
-        pass
-    print_status = print_message = print_raw = print_line
-
-
-# Remove the -Wstrict-prototypesoption, is it's not valid for C++
-customize_compiler = sysconfig.customize_compiler
-def my_customize_compiler(compiler):
-    retval = customize_compiler(compiler)
-    try:
-        compiler.compiler_so.remove('-Wstrict-prototypes')
-    except (ValueError, AttributeError):
-        pass
-    return retval
-
-sysconfig.customize_compiler = my_customize_compiler
-
-
-def make_extension(name, files, *args, **kwargs):
-    """
-    Make a new extension.  Automatically sets include_dirs and
-    library_dirs to the base directories appropriate for this
-    platform.
-
-    `name` is the name of the extension.
-
-    `files` is a list of source files.
-
-    Any additional arguments are passed to the
-    `distutils.core.Extension` constructor.
-    """
-    ext = DelayedExtension(name, files, *args, **kwargs)
-    for dir in get_base_dirs():
-        include_dir = os.path.join(dir, 'include')
-        if os.path.exists(include_dir):
-            ext.include_dirs.append(include_dir)
-        for lib in ('lib', 'lib64'):
-            lib_dir = os.path.join(dir, lib)
-            if os.path.exists(lib_dir):
-                ext.library_dirs.append(lib_dir)
-    ext.include_dirs.append('.')
-
-    return ext
-
-
-class PkgConfig(object):
-    """
-    This is a class for communicating with pkg-config.
-    """
-    def __init__(self):
-        """
-        Determines whether pkg-config exists on this machine.
-        """
-        if sys.platform == 'win32':
-            self.has_pkgconfig = False
-        else:
-            self.set_pkgconfig_path()
-            status, output = getstatusoutput("pkg-config --help")
-            self.has_pkgconfig = (status == 0)
-            if not self.has_pkgconfig:
-                print("IMPORTANT WARNING:")
-                print(
-                    "    pkg-config is not installed.\n"
-                    "    matplotlib may not be able to find some of its dependencies")
-
-    def set_pkgconfig_path(self):
-        pkgconfig_path = sysconfig.get_config_var('LIBDIR')
-        if pkgconfig_path is None:
-            return
-
-        pkgconfig_path = os.path.join(pkgconfig_path, 'pkgconfig')
-        if not os.path.isdir(pkgconfig_path):
-            return
-
-        try:
-            os.environ['PKG_CONFIG_PATH'] += ':' + pkgconfig_path
-        except KeyError:
-            os.environ['PKG_CONFIG_PATH'] = pkgconfig_path
-
-    def setup_extension(self, ext, package, default_include_dirs=[],
-                        default_library_dirs=[], default_libraries=[],
-                        alt_exec=None):
-        """
-        Add parameters to the given `ext` for the given `package`.
-        """
-        flag_map = {
-            '-I': 'include_dirs', '-L': 'library_dirs', '-l': 'libraries'}
-
-        executable = alt_exec
-        if self.has_pkgconfig:
-            executable = 'pkg-config {0}'.format(package)
-
-        use_defaults = True
-
-        if executable is not None:
-            command = "{0} --libs --cflags ".format(executable)
-
-            try:
-                output = check_output(command, shell=True,
-                                      stderr=subprocess.STDOUT)
-            except subprocess.CalledProcessError:
-                pass
-            else:
-                output = output.decode(sys.getfilesystemencoding())
-                use_defaults = False
-                for token in output.split():
-                    attr = flag_map.get(token[:2])
-                    if attr is not None:
-                        getattr(ext, attr).insert(0, token[2:])
-
-        if use_defaults:
-            basedirs = get_base_dirs()
-            for base in basedirs:
-                for include in default_include_dirs:
-                    dir = os.path.join(base, include)
-                    if os.path.exists(dir):
-                        ext.include_dirs.append(dir)
-                for lib in default_library_dirs:
-                    dir = os.path.join(base, lib)
-                    if os.path.exists(dir):
-                        ext.library_dirs.append(dir)
-            ext.libraries.extend(default_libraries)
-            return True
-
-        return False
-
-    def get_version(self, package):
-        """
-        Get the version of the package from pkg-config.
-        """
-        if not self.has_pkgconfig:
-            return None
-
-        status, output = getstatusoutput(
-            "pkg-config %s --modversion" % (package))
-        if status == 0:
-            return output
-        return None
-
-
-# The PkgConfig class should be used through this singleton
-pkg_config = PkgConfig()
-
-
-class CheckFailed(Exception):
-    """
-    Exception thrown when a `SetupPackage.check` method fails.
-    """
-    pass
-
-
-class SetupPackage(object):
-    optional = False
-
-    def check(self):
-        """
-        Checks whether the dependencies are met.  Should raise a
-        `CheckFailed` exception if the dependency could not be met,
-        otherwise return a string indicating a version number or some
-        other message indicating what was found.
-        """
-        pass
-
-    def get_packages(self):
-        """
-        Get a list of package names to add to the configuration.
-        These are added to the `packages` list passed to
-        `distutils.setup`.
-        """
-        return []
-
-    def get_namespace_packages(self):
-        """
-        Get a list of namespace package names to add to the configuration.
-        These are added to the `namespace_packages` list passed to
-        `distutils.setup`.
-        """
-        return []
-
-
-    def get_py_modules(self):
-        """
-        Get a list of top-level modules to add to the configuration.
-        These are added to the `py_modules` list passed to
-        `distutils.setup`.
-        """
-        return []
-
-    def get_package_data(self):
-        """
-        Get a package data dictionary to add to the configuration.
-        These are merged into to the `package_data` list passed to
-        `distutils.setup`.
-        """
-        return {}
-
-    def get_extension(self):
-        """
-        Get a list of C extensions (`distutils.core.Extension`
-        objects) to add to the configuration.  These are added to the
-        `extensions` list passed to `distutils.setup`.
-        """
-        return None
-
-    def get_install_requires(self):
-        """
-        Get a list of Python packages that we require.
-        pip/easy_install will attempt to download and install this
-        package if it is not installed.
-        """
-        return []
-
-    def get_setup_requires(self):
-        """
-        Get a list of Python packages that we require at build time.
-        pip/easy_install will attempt to download and install this
-        package if it is not installed.
-        """
-        return []
-
-    def _check_for_pkg_config(self, package, include_file, min_version=None,
-                              version=None):
-        """
-        A convenience function for writing checks for a
-        pkg_config-defined dependency.
-
-        `package` is the pkg_config package name.
-
-        `include_file` is a top-level include file we expect to find.
-
-        `min_version` is the minimum version required.
-
-        `version` will override the found version if this package
-        requires an alternate method for that.
-        """
-        if version is None:
-            version = pkg_config.get_version(package)
-
-            if version is None:
-                raise CheckFailed(
-                    "pkg-config information for '%s' could not be found." %
-                    package)
-
-        if min_version == 'PATCH':
-            raise CheckFailed(
-                "Requires patches that have not been merged upstream.")
-
-        if min_version:
-            if (not is_min_version(version, min_version)):
-                raise CheckFailed(
-                    "Requires %s %s or later.  Found %s." %
-                    (package, min_version, version))
-
-        ext = self.get_extension()
-        if ext is None:
-            ext = make_extension('test', [])
-            pkg_config.setup_extension(ext, package)
-
-        check_include_file(ext.include_dirs, include_file, package)
-
-        return 'version %s' % version
-
-
-class OptionalPackage(SetupPackage):
-    optional = True
-    force = False
-    config_category = "packages"
-
-    @classmethod
-    def get_config(cls):
-        """
-        Look at `setup.cfg` and return one of ["auto", True, False] indicating
-        if the package is at default state ("auto"), forced by the user (True)
-        or opted-out (False).
-        """
-        try:
-            return config.getboolean(cls.config_category, cls.name)
-        except:
-            return "auto"
-
-    def check(self):
-        """
-        Do not override this method!
-
-        For custom dependency checks override self.check_requirements().
-        Two things are checked: Configuration file and requirements.
-        """
-        # Check configuration file
-        conf = self.get_config()
-        # Default "auto" state or install forced by user
-        if conf in [True, 'auto']:
-            message = "installing"
-            # Set non-optional if user sets `True` in config
-            if conf is True:
-                self.optional = False
-        # Configuration opt-out by user
-        else:
-            # Some backend extensions (e.g. Agg) need to be built for certain
-            # other GUI backends (e.g. TkAgg) even when manually disabled
-            if self.force is True:
-                message = "installing forced (config override)"
-            else:
-                raise CheckFailed("skipping due to configuration")
-
-        # Check requirements and add extra information (if any) to message.
-        # If requirements are not met a CheckFailed should be raised in there.
-        additional_info = self.check_requirements()
-        if additional_info:
-            message += ", " + additional_info
-
-        # No CheckFailed raised until now, return install message.
-        return message
-
-    def check_requirements(self):
-        """
-        Override this method to do custom dependency checks.
-
-         - Raise CheckFailed() if requirements are not met.
-         - Return message with additional information, or an empty string
-           (or None) for no additional information.
-        """
-        return ""
-
-
-class OptionalBackendPackage(OptionalPackage):
-    config_category = "gui_support"
-
-
-class Platform(SetupPackage):
-    name = "platform"
-
-    def check(self):
-        return sys.platform
-
-
-class Python(SetupPackage):
-    name = "python"
-
-    def check(self):
-        major, minor1, minor2, s, tmp = sys.version_info
-
-        if major < 2:
-            raise CheckFailed(
-                "Requires Python 2.6 or later")
-        elif major == 2 and minor1 < 6:
-            raise CheckFailed(
-                "Requires Python 2.6 or later (in the 2.x series)")
-        elif major == 3 and minor1 < 1:
-            raise CheckFailed(
-                "Requires Python 3.1 or later (in the 3.x series)")
-
-        return sys.version
-
-
-class Matplotlib(SetupPackage):
-    name = "matplotlib"
-
-    def check(self):
-        return extract_versions()['__version__']
-
-    def get_packages(self):
-        return [
-            'matplotlib',
-            'matplotlib.backends',
-            'matplotlib.backends.qt_editor',
-            'matplotlib.compat',
-            'matplotlib.projections',
-            'matplotlib.axes',
-            'matplotlib.sphinxext',
-            'matplotlib.style',
-            'matplotlib.testing',
-            'matplotlib.testing.jpl_units',
-            'matplotlib.tri',
-            ]
-
-    def get_py_modules(self):
-        return ['pylab']
-
-    def get_package_data(self):
-        return {
-            'matplotlib':
-            [
-                'mpl-data/fonts/afm/*.afm',
-                'mpl-data/fonts/pdfcorefonts/*.afm',
-                'mpl-data/fonts/pdfcorefonts/*.txt',
-                'mpl-data/fonts/ttf/*.ttf',
-                'mpl-data/fonts/ttf/LICENSE_STIX',
-                'mpl-data/fonts/ttf/COPYRIGHT.TXT',
-                'mpl-data/fonts/ttf/README.TXT',
-                'mpl-data/fonts/ttf/RELEASENOTES.TXT',
-                'mpl-data/images/*.xpm',
-                'mpl-data/images/*.svg',
-                'mpl-data/images/*.gif',
-                'mpl-data/images/*.png',
-                'mpl-data/images/*.ppm',
-                'mpl-data/example/*.npy',
-                'mpl-data/matplotlibrc',
-                'backends/web_backend/*.*',
-                'backends/web_backend/jquery/js/*',
-                'backends/web_backend/jquery/css/themes/base/*.*',
-                'backends/web_backend/jquery/css/themes/base/images/*',
-                'backends/web_backend/css/*.*',
-                'backends/Matplotlib.nib/*',
-                'mpl-data/stylelib/*.mplstyle',
-             ]}
-
-
-class SampleData(OptionalPackage):
-    """
-    This handles the sample data that ships with matplotlib.  It is
-    technically optional, though most often will be desired.
-    """
-    name = "sample_data"
-
-    def get_package_data(self):
-        return {
-            'matplotlib':
-            [
-                'mpl-data/sample_data/*.*',
-                'mpl-data/sample_data/axes_grid/*.*',
-            ]}
-
-
-class Toolkits(OptionalPackage):
-    name = "toolkits"
-
-    def get_packages(self):
-        return [
-            'mpl_toolkits',
-            'mpl_toolkits.mplot3d',
-            'mpl_toolkits.axes_grid',
-            'mpl_toolkits.axes_grid1',
-            'mpl_toolkits.axisartist',
-            ]
-
-    def get_namespace_packages(self):
-        return ['mpl_toolkits']
-
-
-class Tests(OptionalPackage):
-    name = "tests"
-    nose_min_version = '0.11.1'
-
-    def check(self):
-        super(Tests, self).check()
-
-        msgs = []
-        msg_template = ('{package} is required to run the matplotlib test '
-                        'suite.  pip/easy_install may attempt to install it '
-                        'after matplotlib.')
-
-
-        bad_nose = msg_template.format(
-            package='nose %s or later' % self.nose_min_version
-        )
-        try:
-            import nose
-            if is_min_version(nose.__version__, self.nose_min_version):
-                msgs += ['using nose version %s' % nose.__version__]
-            else:
-                msgs += [bad_nose]
-        except ImportError:
-            msgs += [bad_nose]
-
-
-        if sys.version_info >= (3, 3):
-            msgs += ['using unittest.mock']
-        else:
-            try:
-                import mock
-                msgs += ['using mock %s' % mock.__version__]
-            except ImportError:
-                msgs += [msg_template.format(package='mock')]
-
-        return ' / '.join(msgs)
-
-    def get_packages(self):
-        return [
-            'matplotlib.tests',
-            ]
-
-    def get_package_data(self):
-        baseline_images = [
-            'tests/baseline_images/%s/*' % x
-            for x in os.listdir('lib/matplotlib/tests/baseline_images')]
-
-        return {
-            'matplotlib':
-            baseline_images +
-            [
-                'tests/mpltest.ttf',
-                'tests/test_rcparams.rc',
-                'tests/test_utf32_be_rcparams.rc',
-            ]}
-
-    def get_install_requires(self):
-        requires = ['nose>=%s' % self.nose_min_version]
-        if not sys.version_info >= (3, 3):
-            requires += ['mock']
-        return requires
-
-class Toolkits_Tests(Tests):
-    name = "toolkits_tests"
-
-    def check_requirements(self):
-        conf = self.get_config()
-        toolkits_conf = Toolkits.get_config()
-        tests_conf = Tests.get_config()
-
-        if conf is True:
-            Tests.force = True
-            Toolkits.force = True
-        elif conf == "auto" and not (toolkits_conf and tests_conf):
-            # Only auto-install if both toolkits and tests are set
-            # to be installed
-            raise CheckFailed("toolkits_tests needs 'toolkits' and 'tests'")
-        return ""
-
-    def get_packages(self):
-        return [
-            'mpl_toolkits.tests',
-            ]
-
-    def get_package_data(self):
-        baseline_images = [
-            'tests/baseline_images/%s/*' % x
-            for x in os.listdir('lib/mpl_toolkits/tests/baseline_images')]
-
-        return {'mpl_toolkits': baseline_images}
-
-    def get_namespace_packages(self):
-        return ['mpl_toolkits']
-
-
-class DelayedExtension(Extension, object):
-    """
-    A distutils Extension subclass where some of its members
-    may have delayed computation until reaching the build phase.
-
-    This is so we can, for example, get the Numpy include dirs
-    after pip has installed Numpy for us if it wasn't already
-    on the system.
-    """
-    def __init__(self, *args, **kwargs):
-        super(DelayedExtension, self).__init__(*args, **kwargs)
-        self._finalized = False
-        self._hooks = {}
-
-    def add_hook(self, member, func):
-        """
-        Add a hook to dynamically compute a member.
-
-        Parameters
-        ----------
-        member : string
-            The name of the member
-
-        func : callable
-            The function to call to get dynamically-computed values
-            for the member.
-        """
-        self._hooks[member] = func
-
-    def finalize(self):
-        self._finalized = True
-
-    class DelayedMember(property):
-        def __init__(self, name):
-            self._name = name
-
-        def __get__(self, obj, objtype=None):
-            result = getattr(obj, '_' + self._name, [])
-
-            if obj._finalized:
-                if self._name in obj._hooks:
-                    result = obj._hooks[self._name]() + result
-
-            return result
-
-        def __set__(self, obj, value):
-            setattr(obj, '_' + self._name, value)
-
-    include_dirs = DelayedMember('include_dirs')
-
-
-class Numpy(SetupPackage):
-    name = "numpy"
-
-    @staticmethod
-    def include_dirs_hook():
-        if sys.version_info[0] >= 3:
-            import builtins
-            if hasattr(builtins, '__NUMPY_SETUP__'):
-                del builtins.__NUMPY_SETUP__
-            import imp
-            import numpy
-            imp.reload(numpy)
-        else:
-            import __builtin__
-            if hasattr(__builtin__, '__NUMPY_SETUP__'):
-                del __builtin__.__NUMPY_SETUP__
-            import numpy
-            reload(numpy)
-
-        ext = Extension('test', [])
-        ext.include_dirs.append(numpy.get_include())
-        if not has_include_file(
-                ext.include_dirs, os.path.join("numpy", "arrayobject.h")):
-            warnings.warn(
-                "The C headers for numpy could not be found. "
-                "You may need to install the development package")
-
-        return [numpy.get_include()]
-
-    def check(self):
-        min_version = extract_versions()['__version__numpy__']
-        try:
-            import numpy
-        except ImportError:
-            return 'not found. pip may install it below.'
-
-        if not is_min_version(numpy.__version__, min_version):
-            raise SystemExit(
-                "Requires numpy %s or later to build.  (Found %s)" %
-                (min_version, numpy.__version__))
-
-        return 'version %s' % numpy.__version__
-
-    def add_flags(self, ext):
-        # Ensure that PY_ARRAY_UNIQUE_SYMBOL is uniquely defined for
-        # each extension
-        array_api_name = 'MPL_' + ext.name.replace('.', '_') + '_ARRAY_API'
-
-        ext.define_macros.append(('PY_ARRAY_UNIQUE_SYMBOL', array_api_name))
-        ext.add_hook('include_dirs', self.include_dirs_hook)
-
-        ext.define_macros.append(('NPY_NO_DEPRECATED_API',
-                                  'NPY_1_7_API_VERSION'))
-
-    def get_setup_requires(self):
-        return ['numpy>=1.6']
-
-    def get_install_requires(self):
-        return ['numpy>=1.6']
-
-
-class LibAgg(SetupPackage):
-    name = 'libagg'
-
-    def check(self):
-        self.__class__.found_external = True
-        try:
-            return self._check_for_pkg_config(
-                'libagg', 'agg2/agg_basics.h', min_version='PATCH')
-        except CheckFailed as e:
-            self.__class__.found_external = False
-            return str(e) + ' Using local copy.'
-
-    def add_flags(self, ext, add_sources=True):
-        if self.found_external:
-            pkg_config.setup_extension(ext, 'libagg')
-        else:
-            ext.include_dirs.append('extern/agg24-svn/include')
-            if add_sources:
-                agg_sources = [
-                    'agg_bezier_arc.cpp',
-                    'agg_curves.cpp',
-                    'agg_image_filters.cpp',
-                    'agg_trans_affine.cpp',
-                    'agg_vcgen_contour.cpp',
-                    'agg_vcgen_dash.cpp',
-                    'agg_vcgen_stroke.cpp',
-                    'agg_vpgen_segmentator.cpp'
-                    ]
-                ext.sources.extend(
-                    os.path.join('extern', 'agg24-svn', 'src', x) for x in agg_sources)
-
-
-class FreeType(SetupPackage):
-    name = "freetype"
-
-    def check(self):
-        if sys.platform == 'win32':
-            check_include_file(get_include_dirs(), 'ft2build.h', 'freetype')
-            return 'Using unknown version found on system.'
-
-        status, output = getstatusoutput("freetype-config --ftversion")
-        if status == 0:
-            version = output
-        else:
-            version = None
-
-        # Early versions of freetype grep badly inside freetype-config,
-        # so catch those cases. (tested with 2.5.3).
-        if version is None or 'No such file or directory\ngrep:' in version:
-            version = self.version_from_header()
-
-        return self._check_for_pkg_config(
-            'freetype2', 'ft2build.h',
-            min_version='2.3', version=version)
-
-    def version_from_header(self):
-        version = 'Failed to identify version.'
-        ext = self.get_extension()
-        if ext is None:
-            return version
-        # Return the first version found in the include dirs.
-        for include_dir in ext.include_dirs:
-            header_fname = os.path.join(include_dir, 'freetype.h')
-            if os.path.exists(header_fname):
-                major, minor, patch = 0, 0, 0
-                with open(header_fname, 'r') as fh:
-                    for line in fh:
-                        if line.startswith('#define FREETYPE_'):
-                            value = line.rsplit(' ', 1)[1].strip()
-                            if 'MAJOR' in line:
-                                major = value
-                            elif 'MINOR' in line:
-                                minor = value
-                            else:
-                                patch = value
-                return '.'.join([major, minor, patch])
-
-    def add_flags(self, ext):
-        pkg_config.setup_extension(
-            ext, 'freetype2',
-            default_include_dirs=[
-                'include/freetype2', 'freetype2',
-                'lib/freetype2/include',
-                'lib/freetype2/include/freetype2'],
-            default_library_dirs=[
-                'freetype2/lib'],
-            default_libraries=['freetype', 'z'])
-
-
-
-class FT2Font(SetupPackage):
-    name = 'ft2font'
-
-    def get_extension(self):
-        sources = [
-            'src/ft2font.cpp',
-            'src/ft2font_wrapper.cpp',
-            'src/mplutils.cpp'
-            ]
-        ext = make_extension('matplotlib.ft2font', sources)
-        FreeType().add_flags(ext)
-        Numpy().add_flags(ext)
-        return ext
-
-
-class Png(SetupPackage):
-    name = "png"
-
-    def check(self):
-        if sys.platform == 'win32':
-            check_include_file(get_include_dirs(), 'png.h', 'png')
-            return 'Using unknown version found on system.'
-
-        status, output = getstatusoutput("libpng-config --version")
-        if status == 0:
-            version = output
-        else:
-            version = None
-
-        try:
-            return self._check_for_pkg_config(
-                'libpng', 'png.h',
-                min_version='1.2', version=version)
-        except CheckFailed as e:
-            if has_include_file(get_include_dirs(), 'png.h'):
-                return str(e) + ' Using unknown version found on system.'
-            raise
-
-    def get_extension(self):
-        sources = [
-            'src/_png.cpp',
-            'src/mplutils.cpp'
-            ]
-        ext = make_extension('matplotlib._png', sources)
-        pkg_config.setup_extension(
-            ext, 'libpng', default_libraries=['png', 'z'],
-            alt_exec='libpng-config --ldflags')
-        Numpy().add_flags(ext)
-        return ext
-
-
-class Qhull(SetupPackage):
-    name = "qhull"
-
-    def check(self):
-        self.__class__.found_external = True
-        try:
-            return self._check_for_pkg_config(
-                'qhull', 'qhull/qhull_a.h', min_version='2003.1')
-        except CheckFailed as e:
-            self.__class__.found_pkgconfig = False
-            # Qhull may not be in the pkg-config system but may still be
-            # present on this system, so check if the header files can be
-            # found.
-            include_dirs = [
-                os.path.join(x, 'qhull') for x in get_include_dirs()]
-            if has_include_file(include_dirs, 'qhull_a.h'):
-                return 'Using system Qhull (version unknown, no pkg-config info)'
-            else:
-                self.__class__.found_external = False
-                return str(e) + ' Using local copy.'
-
-    def add_flags(self, ext):
-        if self.found_external:
-            pkg_config.setup_extension(ext, 'qhull',
-                                       default_libraries=['qhull'])
-        else:
-            ext.include_dirs.append('extern')
-            ext.sources.extend(glob.glob('extern/qhull/*.c'))
-
-
-class TTConv(SetupPackage):
-    name = "ttconv"
-
-    def get_extension(self):
-        sources = [
-            'src/_ttconv.cpp',
-            'extern/ttconv/pprdrv_tt.cpp',
-            'extern/ttconv/pprdrv_tt2.cpp',
-            'extern/ttconv/ttutil.cpp'
-            ]
-        ext = make_extension('matplotlib.ttconv', sources)
-        Numpy().add_flags(ext)
-        ext.include_dirs.append('extern')
-        return ext
-
-
-class Path(SetupPackage):
-    name = "path"
-
-    def get_extension(self):
-        sources = [
-            'src/py_converters.cpp',
-            'src/_path_wrapper.cpp'
-            ]
-
-        ext = make_extension('matplotlib._path', sources)
-        Numpy().add_flags(ext)
-        LibAgg().add_flags(ext)
-        return ext
-
-
-class Image(SetupPackage):
-    name = "image"
-
-    def get_extension(self):
-        sources = [
-            'src/_image.cpp',
-            'src/mplutils.cpp',
-            'src/_image_wrapper.cpp'
-            ]
-        ext = make_extension('matplotlib._image', sources)
-        Numpy().add_flags(ext)
-        LibAgg().add_flags(ext)
-        return ext
-
-
-class Contour(SetupPackage):
-    name = "contour"
-
-    def get_extension(self):
-        sources = [
-            "src/cntr.c"
-            ]
-        ext = make_extension('matplotlib._cntr', sources)
-        Numpy().add_flags(ext)
-        return ext
-
-
-class Delaunay(SetupPackage):
-    name = "delaunay"
-
-    def get_packages(self):
-        return ['matplotlib.delaunay']
-
-    def get_extension(self):
-        sources = ["_delaunay.cpp", "VoronoiDiagramGenerator.cpp",
-                   "delaunay_utils.cpp", "natneighbors.cpp"]
-        sources = [os.path.join('lib/matplotlib/delaunay', s) for s in sources]
-        ext = make_extension('matplotlib._delaunay', sources)
-        Numpy().add_flags(ext)
-        return ext
-
-
-class QhullWrap(SetupPackage):
-    name = "qhull_wrap"
-
-    def get_extension(self):
-        sources = ['src/qhull_wrap.c']
-        ext = make_extension('matplotlib._qhull', sources,
-                             define_macros=[('MPL_DEVNULL', os.devnull)])
-        Numpy().add_flags(ext)
-        Qhull().add_flags(ext)
-        return ext
-
-
-class Tri(SetupPackage):
-    name = "tri"
-
-    def get_extension(self):
-        sources = [
-            "lib/matplotlib/tri/_tri.cpp",
-            "lib/matplotlib/tri/_tri_wrapper.cpp",
-            "src/mplutils.cpp"
-            ]
-        ext = make_extension('matplotlib._tri', sources)
-        Numpy().add_flags(ext)
-        return ext
-
-
-class Six(SetupPackage):
-    name = "six"
-    min_version = "1.4"
-
-    def check(self):
-        try:
-            import six
-        except ImportError:
-            return (
-                "six was not found.")
-
-        if not is_min_version(six.__version__, self.min_version):
-            raise CheckFailed(
-                "Requires six %s or later.  Found %s." %
-                (self.min_version, six.__version__))
-
-        return "using six version %s" % six.__version__
-
-    def get_install_requires(self):
-        return ['six>={0}'.format(self.min_version)]
-
-
-class Pytz(SetupPackage):
-    name = "pytz"
-
-    def check(self):
-        try:
-            import pytz
-        except ImportError:
-            return (
-                "pytz was not found. "
-                "pip will attempt to install it "
-                "after matplotlib.")
-
-        return "using pytz version %s" % pytz.__version__
-
-    def get_install_requires(self):
-        return ['pytz']
-
-
-class Dateutil(SetupPackage):
-    name = "dateutil"
-
-    def __init__(self, version=None):
-        self.version = version
-
-    def check(self):
-        try:
-            import dateutil
-        except ImportError:
-            # dateutil 2.1 has a file encoding bug that breaks installation on
-            # python 3.3
-            # https://github.com/matplotlib/matplotlib/issues/2373
-            # hack around the problem by installing the the (working) v2.0
-            major, minor1, _, _, _ = sys.version_info
-            if self.version is None and (major, minor1) == (3, 3):
-                self.version = '!=2.1'
-
-            return (
-                "dateutil was not found. It is required for date axis "
-                "support. pip/easy_install may attempt to install it "
-                "after matplotlib.")
-
-        return "using dateutil version %s" % dateutil.__version__
-
-    def get_install_requires(self):
-        dateutil = 'python-dateutil'
-        if self.version is not None:
-            dateutil += self.version
-        return [dateutil]
-
-
-class Tornado(OptionalPackage):
-    name = "tornado"
-
-    def check(self):
-        try:
-            import tornado
-        except ImportError:
-            return (
-                "tornado was not found. It is required for the WebAgg "
-                "backend. pip/easy_install may attempt to install it "
-                "after matplotlib.")
-
-        return "using tornado version %s" % tornado.version
-
-
-class Pyparsing(SetupPackage):
-    name = "pyparsing"
-
-    def is_ok(self):
-        # pyparsing 2.0.0 bug, but it may be patched in distributions
-        try:
-            import pyparsing
-            f = pyparsing.Forward()
-            f <<= pyparsing.Literal('a')
-            return f is not None
-        except (ImportError, TypeError):
-            return False
-
-    def check(self):
-        try:
-            import pyparsing
-        except ImportError:
-            return (
-                "pyparsing was not found. It is required for mathtext "
-                "support. pip/easy_install may attempt to install it "
-                "after matplotlib.")
-
-        required = [1, 5, 6]
-        if [int(x) for x in pyparsing.__version__.split('.')] < required:
-            return (
-                "matplotlib requires pyparsing >= {0}".format(
-                    '.'.join(str(x) for x in required)))
-
-        if not self.is_ok():
-            return (
-                "Your pyparsing contains a bug that will be monkey-patched by "
-                "matplotlib.  For best results, upgrade to pyparsing 2.0.1 or "
-                "later.")
-
-        return "using pyparsing version %s" % pyparsing.__version__
-
-    def get_install_requires(self):
-        if self.is_ok():
-            return ['pyparsing>=1.5.6']
-        else:
-            return ['pyparsing>=1.5.6,!=2.0.0']
-
-
-class BackendAgg(OptionalBackendPackage):
-    name = "agg"
-
-    def get_extension(self):
-        sources = [
-            "src/mplutils.cpp",
-            "src/py_converters.cpp",
-            "src/_backend_agg.cpp",
-            "src/_backend_agg_wrapper.cpp"
-            ]
-        ext = make_extension('matplotlib.backends._backend_agg', sources)
-        Numpy().add_flags(ext)
-        LibAgg().add_flags(ext)
-        FreeType().add_flags(ext)
-        return ext
-
-
-class BackendTkAgg(OptionalBackendPackage):
-    name = "tkagg"
-
-    def __init__(self):
-        self.tcl_tk_cache = None
-
-    def check_requirements(self):
-        try:
-            if PY3:
-                import tkinter as Tkinter
-            else:
-                import Tkinter
-        except ImportError:
-            raise CheckFailed('TKAgg requires Tkinter.')
-        except RuntimeError:
-            raise CheckFailed('Tkinter present but import failed.')
-        else:
-            if Tkinter.TkVersion < 8.3:
-                raise CheckFailed("Tcl/Tk v8.3 or later required.")
-
-        ext = self.get_extension()
-        check_include_file(ext.include_dirs, "tk.h", "Tk")
-
-        try:
-            tk_v = Tkinter.__version__.split()[-2]
-        except (AttributeError, IndexError):
-            # Tkinter.__version__ has been removed in python 3
-            tk_v = 'not identified'
-
-        BackendAgg.force = True
-
-        return "version %s" % tk_v
-
-    def get_extension(self):
-        sources = [
-            'src/py_converters.cpp',
-            'src/_tkagg.cpp'
-            ]
-
-        ext = make_extension('matplotlib.backends._tkagg', sources)
-        self.add_flags(ext)
-        Numpy().add_flags(ext)
-        LibAgg().add_flags(ext, add_sources=False)
-        return ext
-
-    def query_tcltk(self):
-        """
-        Tries to open a Tk window in order to query the Tk object
-        about its library paths.  This should never be called more
-        than once by the same process, as Tk intricacies may cause the
-        Python interpreter to hang. The function also has a workaround
-        if no X server is running (useful for autobuild systems).
-        """
-        # Use cached values if they exist, which ensures this function
-        # only executes once
-        if self.tcl_tk_cache is not None:
-            return self.tcl_tk_cache
-
-        # By this point, we already know that Tkinter imports correctly
-        if PY3:
-            import tkinter as Tkinter
-        else:
-            import Tkinter
-        tcl_lib_dir = ''
-        tk_lib_dir = ''
-        # First try to open a Tk window (requires a running X server)
-        try:
-            tk = Tkinter.Tk()
-        except Tkinter.TclError:
-            # Next, start Tcl interpreter without opening a Tk window
-            # (no need for X server) This feature is available in
-            # python version 2.4 and up
-            try:
-                tcl = Tkinter.Tcl()
-            except AttributeError:    # Python version not high enough
-                pass
-            except Tkinter.TclError:  # Something went wrong while opening Tcl
-                pass
-            else:
-                tcl_lib_dir = str(tcl.getvar('tcl_library'))
-                # Guess Tk location based on Tcl location
-                (head, tail) = os.path.split(tcl_lib_dir)
-                tail = tail.replace('Tcl', 'Tk').replace('tcl', 'tk')
-                tk_lib_dir = os.path.join(head, tail)
-                if not os.path.exists(tk_lib_dir):
-                    tk_lib_dir = tcl_lib_dir.replace(
-                        'Tcl', 'Tk').replace('tcl', 'tk')
-        else:
-            # Obtain Tcl and Tk locations from Tk widget
-            tk.withdraw()
-            tcl_lib_dir = str(tk.getvar('tcl_library'))
-            tk_lib_dir = str(tk.getvar('tk_library'))
-            tk.destroy()
-
-        # Save directories and version string to cache
-        self.tcl_tk_cache = tcl_lib_dir, tk_lib_dir, str(Tkinter.TkVersion)[:3]
-        return self.tcl_tk_cache
-
-    def parse_tcl_config(self, tcl_lib_dir, tk_lib_dir):
-        try:
-            if PY3:
-                import tkinter as Tkinter
-            else:
-                import Tkinter
-        except ImportError:
-            return None
-
-        tcl_poss = [tcl_lib_dir,
-                    os.path.normpath(os.path.join(tcl_lib_dir, '..')),
-                    "/usr/lib/tcl" + str(Tkinter.TclVersion),
-                    "/usr/lib"]
-        tk_poss = [tk_lib_dir,
-                    os.path.normpath(os.path.join(tk_lib_dir, '..')),
-                   "/usr/lib/tk" + str(Tkinter.TkVersion),
-                   "/usr/lib"]
-        for ptcl, ptk in zip(tcl_poss, tk_poss):
-            tcl_config = os.path.join(ptcl, "tclConfig.sh")
-            tk_config = os.path.join(ptk, "tkConfig.sh")
-            if (os.path.exists(tcl_config) and os.path.exists(tk_config)):
-                break
-        if not (os.path.exists(tcl_config) and os.path.exists(tk_config)):
-            return None
-
-        def get_var(file, varname):
-            p = subprocess.Popen(
-                '. %s ; eval echo ${%s}' % (file, varname),
-                shell=True,
-                executable="/bin/sh",
-                stdout=subprocess.PIPE)
-            result = p.communicate()[0]
-            return result.decode('ascii')
-
-        tcl_lib_dir = get_var(
-            tcl_config, 'TCL_LIB_SPEC').split()[0][2:].strip()
-        tcl_inc_dir = get_var(
-            tcl_config, 'TCL_INCLUDE_SPEC')[2:].strip()
-        tcl_lib = get_var(tcl_config, 'TCL_LIB_FLAG')[2:].strip()
-
-        tk_lib_dir = get_var(tk_config, 'TK_LIB_SPEC').split()[0][2:].strip()
-        tk_inc_dir = get_var(tk_config, 'TK_INCLUDE_SPEC').strip()
-        if tk_inc_dir == '':
-            tk_inc_dir = tcl_inc_dir
-        else:
-            tk_inc_dir = tk_inc_dir[2:]
-        tk_lib = get_var(tk_config, 'TK_LIB_FLAG')[2:].strip()
-
-        if not os.path.exists(os.path.join(tk_inc_dir, 'tk.h')):
-            return None
-
-        return (tcl_lib_dir, tcl_inc_dir, tcl_lib,
-                tk_lib_dir, tk_inc_dir, tk_lib)
-
-    def guess_tcl_config(self, tcl_lib_dir, tk_lib_dir, tk_ver):
-        if not (os.path.exists(tcl_lib_dir) and os.path.exists(tk_lib_dir)):
-            return None
-
-        tcl_lib = os.path.normpath(os.path.join(tcl_lib_dir, '../'))
-        tk_lib = os.path.normpath(os.path.join(tk_lib_dir, '../'))
-
-        tcl_inc = os.path.normpath(
-            os.path.join(tcl_lib_dir,
-                         '../../include/tcl' + tk_ver))
-        if not os.path.exists(tcl_inc):
-            tcl_inc = os.path.normpath(
-                os.path.join(tcl_lib_dir,
-                             '../../include'))
-
-        tk_inc = os.path.normpath(os.path.join(
-            tk_lib_dir,
-            '../../include/tk' + tk_ver))
-        if not os.path.exists(tk_inc):
-            tk_inc = os.path.normpath(os.path.join(
-                tk_lib_dir,
-                '../../include'))
-
-        if not os.path.exists(os.path.join(tk_inc, 'tk.h')):
-            tk_inc = tcl_inc
-
-        if not os.path.exists(tcl_inc):
-            # this is a hack for suse linux, which is broken
-            if (sys.platform.startswith('linux') and
-                os.path.exists('/usr/include/tcl.h') and
-                os.path.exists('/usr/include/tk.h')):
-                tcl_inc = '/usr/include'
-                tk_inc = '/usr/include'
-
-        if not os.path.exists(os.path.join(tk_inc, 'tk.h')):
-            return None
-
-        return tcl_lib, tcl_inc, 'tcl' + tk_ver, tk_lib, tk_inc, 'tk' + tk_ver
-
-    def hardcoded_tcl_config(self):
-        tcl_inc = "/usr/local/include"
-        tk_inc = "/usr/local/include"
-        tcl_lib = "/usr/local/lib"
-        tk_lib = "/usr/local/lib"
-        return tcl_lib, tcl_inc, 'tcl', tk_lib, tk_inc, 'tk'
-
-    def add_flags(self, ext):
-        if sys.platform == 'win32':
-            major, minor1, minor2, s, tmp = sys.version_info
-            if sys.version_info[0:2] < (3, 4):
-                ext.include_dirs.extend(['win32_static/include/tcl85'])
-                ext.libraries.extend(['tk85', 'tcl85'])
-            else:
-                ext.include_dirs.extend(['win32_static/include/tcl86'])
-                ext.libraries.extend(['tk86t', 'tcl86t'])
-            ext.library_dirs.extend([os.path.join(sys.prefix, 'dlls')])
-
-        elif sys.platform == 'darwin':
-            # this config section lifted directly from Imaging - thanks to
-            # the effbot!
-
-            # First test for a MacOSX/darwin framework install
-            from os.path import join, exists
-            framework_dirs = [
-                join(os.getenv('HOME'), '/Library/Frameworks'),
-                '/Library/Frameworks',
-                '/System/Library/Frameworks/',
-            ]
-
-            # Find the directory that contains the Tcl.framework and
-            # Tk.framework bundles.
-            tk_framework_found = 0
-            for F in framework_dirs:
-                # both Tcl.framework and Tk.framework should be present
-                for fw in 'Tcl', 'Tk':
-                    if not exists(join(F, fw + '.framework')):
-                        break
-                else:
-                    # ok, F is now directory with both frameworks. Continure
-                    # building
-                    tk_framework_found = 1
-                    break
-            if tk_framework_found:
-                # For 8.4a2, we must add -I options that point inside
-                # the Tcl and Tk frameworks. In later release we
-                # should hopefully be able to pass the -F option to
-                # gcc, which specifies a framework lookup path.
-
-                tk_include_dirs = [
-                    join(F, fw + '.framework', H)
-                    for fw in ('Tcl', 'Tk')
-                    for H in ('Headers', 'Versions/Current/PrivateHeaders')
-                ]
-
-                # For 8.4a2, the X11 headers are not included. Rather
-                # than include a complicated search, this is a
-                # hard-coded path. It could bail out if X11 libs are
-                # not found...
-
-                # tk_include_dirs.append('/usr/X11R6/include')
-                frameworks = ['-framework', 'Tcl', '-framework', 'Tk']
-                ext.include_dirs.extend(tk_include_dirs)
-                ext.extra_link_args.extend(frameworks)
-                ext.extra_compile_args.extend(frameworks)
-
-        # you're still here? ok we'll try it this way...
-        else:
-            # There are 3 methods to try, in decreasing order of "smartness"
-            #
-            #   1. Parse the tclConfig.sh and tkConfig.sh files that have
-            #      all the information we need
-            #
-            #   2. Guess the include and lib dirs based on the location of
-            #      Tkinter's 'tcl_library' and 'tk_library' variables.
-            #
-            #   3. Use some hardcoded locations that seem to work on a lot
-            #      of distros.
-
-            # Query Tcl/Tk system for library paths and version string
-            try:
-                tcl_lib_dir, tk_lib_dir, tk_ver = self.query_tcltk()
-            except:
-                tk_ver = ''
-                result = self.hardcoded_tcl_config()
-            else:
-                result = self.parse_tcl_config(tcl_lib_dir, tk_lib_dir)
-                if result is None:
-                    result = self.guess_tcl_config(
-                        tcl_lib_dir, tk_lib_dir, tk_ver)
-                    if result is None:
-                        result = self.hardcoded_tcl_config()
-
-            # Add final versions of directories and libraries to ext lists
-            (tcl_lib_dir, tcl_inc_dir, tcl_lib,
-             tk_lib_dir, tk_inc_dir, tk_lib) = result
-            ext.include_dirs.extend([tcl_inc_dir, tk_inc_dir])
-            ext.library_dirs.extend([tcl_lib_dir, tk_lib_dir])
-            ext.libraries.extend([tcl_lib, tk_lib])
-
-
-class BackendGtk(OptionalBackendPackage):
-    name = "gtk"
-
-    def check_requirements(self):
-        try:
-            import gtk
-        except ImportError:
-            raise CheckFailed("Requires pygtk")
-        except RuntimeError:
-            raise CheckFailed('pygtk present, but import failed.')
-        else:
-            version = (2, 2, 0)
-            if gtk.pygtk_version < version:
-                raise CheckFailed(
-                    "Requires pygtk %d.%d.%d or later. "
-                    "Found %d.%d.%d" % (version + gtk.pygtk_version))
-
-        ext = self.get_extension()
-        self.add_flags(ext)
-        check_include_file(ext.include_dirs,
-                           os.path.join("gtk", "gtk.h"),
-                           'gtk')
-        check_include_file(ext.include_dirs,
-                           os.path.join("pygtk", "pygtk.h"),
-                           'pygtk')
-
-        return 'Gtk: %s pygtk: %s' % (
-            ".".join(str(x) for x in gtk.gtk_version),
-            ".".join(str(x) for x in gtk.pygtk_version))
-
-    def get_package_data(self):
-        return {'matplotlib': ['mpl-data/*.glade']}
-
-    def get_extension(self):
-        sources = [
-            'src/_backend_gdk.c'
-            ]
-        ext = make_extension('matplotlib.backends._backend_gdk', sources)
-        self.add_flags(ext)
-        Numpy().add_flags(ext)
-        return ext
-
-    def add_flags(self, ext):
-        if sys.platform == 'win32':
-            def getoutput(s):
-                ret = os.popen(s).read().strip()
-                return ret
-
-            if 'PKG_CONFIG_PATH' not in os.environ:
-                # If Gtk+ is installed, pkg-config is required to be installed
-                os.environ['PKG_CONFIG_PATH'] = 'C:\\GTK\\lib\\pkgconfig'
-
-                # popen broken on my win32 plaform so I can't use pkgconfig
-                ext.library_dirs.extend(
-                    ['C:/GTK/bin', 'C:/GTK/lib'])
-
-                ext.include_dirs.extend(
-                    ['win32_static/include/pygtk-2.0',
-                     'C:/GTK/include',
-                     'C:/GTK/include/gobject',
-                     'C:/GTK/include/gext',
-                     'C:/GTK/include/glib',
-                     'C:/GTK/include/pango',
-                     'C:/GTK/include/atk',
-                     'C:/GTK/include/X11',
-                     'C:/GTK/include/cairo',
-                     'C:/GTK/include/gdk',
-                     'C:/GTK/include/gdk-pixbuf',
-                     'C:/GTK/include/gtk',
-                     ])
-
-            pygtkIncludes = getoutput(
-                'pkg-config --cflags-only-I pygtk-2.0').split()
-            gtkIncludes = getoutput(
-                'pkg-config --cflags-only-I gtk+-2.0').split()
-            includes = pygtkIncludes + gtkIncludes
-            ext.include_dirs.extend([include[2:] for include in includes])
-
-            pygtkLinker = getoutput('pkg-config --libs pygtk-2.0').split()
-            gtkLinker = getoutput('pkg-config --libs gtk+-2.0').split()
-            linkerFlags = pygtkLinker + gtkLinker
-
-            ext.libraries.extend(
-                [flag[2:] for flag in linkerFlags if flag.startswith('-l')])
-
-            ext.library_dirs.extend(
-                [flag[2:] for flag in linkerFlags if flag.startswith('-L')])
-
-            ext.extra_link_args.extend(
-                [flag for flag in linkerFlags if not
-                 (flag.startswith('-l') or flag.startswith('-L'))])
-
-            # visual studio doesn't need the math library
-            if (sys.platform == 'win32' and
-                win32_compiler == 'msvc' and
-                'm' in ext.libraries):
-                ext.libraries.remove('m')
-
-        elif sys.platform != 'win32':
-            pkg_config.setup_extension(ext, 'pygtk-2.0')
-            pkg_config.setup_extension(ext, 'gtk+-2.0')
-
-
-class BackendGtkAgg(BackendGtk):
-    name = "gtkagg"
-
-    def check(self):
-        try:
-            return super(BackendGtkAgg, self).check()
-        except:
-            raise
-        else:
-            BackendAgg.force = True
-
-    def get_package_data(self):
-        return {'matplotlib': ['mpl-data/*.glade']}
-
-    def get_extension(self):
-        sources = [
-            'src/py_converters.cpp',
-            'src/_gtkagg.cpp',
-            'src/mplutils.cpp'
-            ]
-        ext = make_extension('matplotlib.backends._gtkagg', sources)
-        self.add_flags(ext)
-        LibAgg().add_flags(ext)
-        Numpy().add_flags(ext)
-        return ext
-
-
-def backend_gtk3agg_internal_check(x):
-    try:
-        import gi
-    except ImportError:
-        return (False, "Requires pygobject to be installed.")
-
-    try:
-        gi.require_version("Gtk", "3.0")
-    except ValueError:
-        return (False, "Requires gtk3 development files to be installed.")
-    except AttributeError:
-        return (False, "pygobject version too old.")
-
-    try:
-        from gi.repository import Gtk, Gdk, GObject
-    except (ImportError, RuntimeError):
-        return (False, "Requires pygobject to be installed.")
-
-    return (True, "version %s.%s.%s" % (
-        Gtk.get_major_version(),
-        Gtk.get_micro_version(),
-        Gtk.get_minor_version()))
-
-
-class BackendGtk3Agg(OptionalBackendPackage):
-    name = "gtk3agg"
-
-    def check_requirements(self):
-        if 'TRAVIS' in os.environ:
-            raise CheckFailed("Can't build with Travis")
-
-        # This check needs to be performed out-of-process, because
-        # importing gi and then importing regular old pygtk afterward
-        # segfaults the interpreter.
-        try:
-            p = multiprocessing.Pool()
-        except:
-            return "unknown (can not use multiprocessing to determine)"
-        try:
-            res = p.map_async(backend_gtk3agg_internal_check, [0])
-            success, msg = res.get(timeout=10)[0]
-        except multiprocessing.TimeoutError:
-            p.terminate()
-            # No result returned. Probaly hanging, terminate the process.
-            success = False
-            raise CheckFailed("Check timed out")
-        except:
-            p.close()
-            # Some other error.
-            success = False
-            msg = "Could not determine"
-            raise
-        else:
-            p.close()
-        finally:
-            p.join()
-
-        if success:
-            BackendAgg.force = True
-            return msg
-        else:
-            raise CheckFailed(msg)
-
-    def get_package_data(self):
-        return {'matplotlib': ['mpl-data/*.glade']}
-
-
-def backend_gtk3cairo_internal_check(x):
-    try:
-        import cairocffi
-    except ImportError:
-        try:
-            import cairo
-        except ImportError:
-            return (False, "Requires cairocffi or pycairo to be installed.")
-
-    try:
-        import gi
-    except ImportError:
-        return (False, "Requires pygobject to be installed.")
-
-    try:
-        gi.require_version("Gtk", "3.0")
-    except ValueError:
-        return (False, "Requires gtk3 development files to be installed.")
-    except AttributeError:
-        return (False, "pygobject version too old.")
-
-    try:
-        from gi.repository import Gtk, Gdk, GObject
-    except (RuntimeError, ImportError):
-        return (False, "Requires pygobject to be installed.")
-
-    return (True, "version %s.%s.%s" % (
-        Gtk.get_major_version(),
-        Gtk.get_micro_version(),
-        Gtk.get_minor_version()))
-
-
-class BackendGtk3Cairo(OptionalBackendPackage):
-    name = "gtk3cairo"
-
-    def check_requirements(self):
-        if 'TRAVIS' in os.environ:
-            raise CheckFailed("Can't build with Travis")
-
-        # This check needs to be performed out-of-process, because
-        # importing gi and then importing regular old pygtk afterward
-        # segfaults the interpreter.
-        try:
-            p = multiprocessing.Pool()
-        except:
-            return "unknown (can not use multiprocessing to determine)"
-        try:
-            res = p.map_async(backend_gtk3cairo_internal_check, [0])
-            success, msg = res.get(timeout=10)[0]
-        except multiprocessing.TimeoutError:
-            p.terminate()
-            # No result returned. Probaly hanging, terminate the process.
-            success = False
-            raise CheckFailed("Check timed out")
-        except:
-            p.close()
-            success = False
-            raise
-        else:
-            p.close()
-        finally:
-            p.join()
-
-        if success:
-            BackendAgg.force = True
-            return msg
-        else:
-            raise CheckFailed(msg)
-
-    def get_package_data(self):
-        return {'matplotlib': ['mpl-data/*.glade']}
-
-
-class BackendWxAgg(OptionalBackendPackage):
-    name = "wxagg"
-
-    def check_requirements(self):
-        try:
-            import wxversion
-        except ImportError:
-            raise CheckFailed("requires wxPython")
-
-        try:
-            _wx_ensure_failed = wxversion.AlreadyImportedError
-        except AttributeError:
-            _wx_ensure_failed = wxversion.VersionError
-
-        try:
-            wxversion.ensureMinimal('2.8')
-        except _wx_ensure_failed:
-            pass
-
-        try:
-            import wx
-            backend_version = wx.VERSION_STRING
-        except ImportError:
-            raise CheckFailed("requires wxPython")
-
-        # Extra version check in case wxversion lacks AlreadyImportedError;
-        # then VersionError might have been raised and ignored when
-        # there really *is* a problem with the version.
-        major, minor = [int(n) for n in backend_version.split('.')[:2]]
-        if major < 2 or (major < 3 and minor < 8):
-            raise CheckFailed(
-                "Requires wxPython 2.8, found %s" % backend_version)
-
-        BackendAgg.force = True
-
-        return "version %s" % backend_version
-
-
-class BackendMacOSX(OptionalBackendPackage):
-    name = 'macosx'
-
-    def check_requirements(self):
-        if sys.platform != 'darwin':
-            raise CheckFailed("Mac OS-X only")
-
-        return 'darwin'
-
-    def get_extension(self):
-        sources = [
-            'src/_macosx.m',
-            'src/py_converters.cpp',
-            'src/path_cleanup.cpp'
-            ]
-
-        ext = make_extension('matplotlib.backends._macosx', sources)
-        Numpy().add_flags(ext)
-        LibAgg().add_flags(ext)
-        ext.extra_link_args.extend(['-framework', 'Cocoa'])
-        return ext
-
-
-class Windowing(OptionalBackendPackage):
-    """
-    Builds the windowing extension.
-    """
-    name = "windowing"
-
-    def check_requirements(self):
-        if sys.platform != 'win32':
-            raise CheckFailed("Microsoft Windows only")
-        config = self.get_config()
-        if config is False:
-            raise CheckFailed("skipping due to configuration")
-        return "installing"
-
-    def get_extension(self):
-        sources = [
-            "src/_windowing.cpp"
-            ]
-        ext = make_extension('matplotlib._windowing', sources)
-        ext.include_dirs.extend(['C:/include'])
-        ext.libraries.extend(['user32'])
-        ext.library_dirs.extend(['C:/lib'])
-        ext.extra_link_args.append("-mwindows")
-        return ext
-
-
-class BackendQtBase(OptionalBackendPackage):
-
-    def convert_qt_version(self, version):
-        version = '%x' % version
-        temp = []
-        while len(version) > 0:
-            version, chunk = version[:-2], version[-2:]
-            temp.insert(0, str(int(chunk, 16)))
-        return '.'.join(temp)
-
-    def check_requirements(self):
-        '''
-        If PyQt4/PyQt5 is already imported, importing PyQt5/PyQt4 will fail
-        so we need to test in a subprocess (as for Gtk3).
-        '''
-        try:
-            p = multiprocessing.Pool()
-
-        except:
-            # Can't do multiprocessing, fall back to normal approach ( this will fail if importing both PyQt4 and PyQt5 )
-            try:
-                # Try in-process
-                msg = self.callback(self)
-
-            except RuntimeError:
-                raise CheckFailed("Could not import: are PyQt4 & PyQt5 both installed?")
-
-            except:
-                # Raise any other exceptions
-                raise
-
-        else:
-            # Multiprocessing OK
-            try:
-                res = p.map_async(self.callback, [self])
-                msg = res.get(timeout=10)[0]
-            except multiprocessing.TimeoutError:
-                p.terminate()
-                # No result returned. Probaly hanging, terminate the process.
-                raise CheckFailed("Check timed out")
-            except:
-                # Some other error.
-                p.close()
-                raise
-            else:
-                # Clean exit
-                p.close()
-            finally:
-                # Tidy up multiprocessing
-                p.join()
-
-        return msg
-
-
-def backend_pyside_internal_check(self):
-    try:
-        from PySide import __version__
-        from PySide import QtCore
-    except ImportError:
-        raise CheckFailed("PySide not found")
-    else:
-        BackendAgg.force = True
-        return ("Qt: %s, PySide: %s" %
-                (QtCore.__version__, __version__))
-
-def backend_pyqt4_internal_check(self):
-    try:
-        from PyQt4 import QtCore
-    except ImportError:
-        raise CheckFailed("PyQt4 not found")
-
-    try:
-        qt_version = QtCore.QT_VERSION
-        pyqt_version_str = QtCore.QT_VERSION_STR
-    except AttributeError:
-        raise CheckFailed('PyQt4 not correctly imported')
-    else:
-        BackendAgg.force = True
-        return ("Qt: %s, PyQt: %s" % (self.convert_qt_version(qt_version), pyqt_version_str))
-
-def backend_qt4_internal_check(self):
-    successes = []
-    failures = []
-    try:
-        successes.append(backend_pyside_internal_check(self))
-    except CheckFailed as e:
-        failures.append(str(e))
-
-    try:
-        successes.append(backend_pyqt4_internal_check(self))
-    except CheckFailed as e:
-        failures.append(str(e))
-
-    if len(successes) == 0:
-        raise CheckFailed('; '.join(failures))
-    return '; '.join(successes+failures)
-
-class BackendQt4(BackendQtBase):
-    name = "qt4agg"
-
-    def __init__(self, *args, **kwargs):
-        BackendQtBase.__init__(self, *args, **kwargs)
-        self.callback = backend_qt4_internal_check
-
-
-def backend_qt5_internal_check(self):
-    try:
-        from PyQt5 import QtCore
-    except ImportError:
-        raise CheckFailed("PyQt5 not found")
-
-    try:
-        qt_version = QtCore.QT_VERSION
-        pyqt_version_str = QtCore.QT_VERSION_STR
-    except AttributeError:
-        raise CheckFailed('PyQt5 not correctly imported')
-    else:
-        BackendAgg.force = True
-        return ("Qt: %s, PyQt: %s" % (self.convert_qt_version(qt_version), pyqt_version_str))
-
-
-class BackendQt5(BackendQtBase):
-    name = "qt5agg"
-
-    def __init__(self, *args, **kwargs):
-        BackendQtBase.__init__(self, *args, **kwargs)
-        self.callback = backend_qt5_internal_check
-
-
-class BackendCairo(OptionalBackendPackage):
-    name = "cairo"
-
-    def check_requirements(self):
-        try:
-            import cairocffi
-        except ImportError:
-            try:
-                import cairo
-            except ImportError:
-                raise CheckFailed("cairocffi or pycairo not found")
-            else:
-                return "pycairo version %s" % cairo.version
-        else:
-            return "cairocffi version %s" % cairocffi.version
-
-
-class DviPng(SetupPackage):
-    name = "dvipng"
-    optional = True
-
-    def check(self):
-        try:
-            output = check_output('dvipng -version', shell=True,
-                                  stderr=subprocess.STDOUT)
-            return "version %s" % output.splitlines()[1].decode().split()[-1]
-        except (IndexError, ValueError, subprocess.CalledProcessError):
-            raise CheckFailed()
-
-
-class Ghostscript(SetupPackage):
-    name = "ghostscript"
-    optional = True
-
-    def check(self):
-        try:
-            if sys.platform == 'win32':
-                command = 'gswin32c --version'
-                try:
-                    output = check_output(command, shell=True,
-                                          stderr=subprocess.STDOUT)
-                except subprocess.CalledProcessError:
-                    command = 'gswin64c --version'
-                    output = check_output(command, shell=True,
-                                          stderr=subprocess.STDOUT)
-            else:
-                command = 'gs --version'
-                output = check_output(command, shell=True,
-                                      stderr=subprocess.STDOUT)
-            return "version %s" % output.decode()[:-1]
-        except (IndexError, ValueError, subprocess.CalledProcessError):
-            raise CheckFailed()
-
-
-class LaTeX(SetupPackage):
-    name = "latex"
-    optional = True
-
-    def check(self):
-        try:
-            output = check_output('latex -version', shell=True,
-                                  stderr=subprocess.STDOUT)
-            line = output.splitlines()[0].decode()
-            pattern = '(3\.1\d+)|(MiKTeX \d+.\d+)'
-            match = re.search(pattern, line)
-            return "version %s" % match.group(0)
-        except (IndexError, ValueError, AttributeError, subprocess.CalledProcessError):
-            raise CheckFailed()
-
-
-class PdfToPs(SetupPackage):
-    name = "pdftops"
-    optional = True
-
-    def check(self):
-        try:
-            output = check_output('pdftops -v', shell=True,
-                                  stderr=subprocess.STDOUT)
-            for line in output.splitlines():
-                line = line.decode()
-                if 'version' in line:
-                    return "version %s" % line.split()[2]
-        except (IndexError, ValueError, subprocess.CalledProcessError):
-            pass
-
-        raise CheckFailed()
diff --git a/src/.clang-format b/src/.clang-format
index d54ffcedf924..f3a6eb540777 100644
--- a/src/.clang-format
+++ b/src/.clang-format
@@ -1,5 +1,5 @@
 ---
-# BasedOnStyle:  LLVM
+# BasedOnStyle: LLVM
 AccessModifierOffset: -2
 ConstructorInitializerIndentWidth: 4
 AlignEscapedNewlinesLeft: false
@@ -13,7 +13,7 @@ BreakBeforeBinaryOperators: false
 BreakBeforeTernaryOperators: true
 BreakConstructorInitializersBeforeComma: false
 BinPackParameters: false
-ColumnLimit:     100
+ColumnLimit: 100
 ConstructorInitializerAllOnOneLineOrOnePerLine: true
 DerivePointerBinding: false
 ExperimentalAutoDetectBinPacking: false
@@ -30,14 +30,14 @@ PenaltyReturnTypeOnItsOwnLine: 60
 PointerBindsToType: false
 SpacesBeforeTrailingComments: 1
 Cpp11BracedListStyle: false
-Standard:        Cpp03
-IndentWidth:     4
-TabWidth:        8
-UseTab:          Never
+Standard: Cpp03
+IndentWidth: 4
+TabWidth: 8
+UseTab: Never
 BreakBeforeBraces: Linux
 IndentFunctionDeclarationAfterType: false
 SpacesInParentheses: false
-SpacesInAngles:  false
+SpacesInAngles: false
 SpaceInEmptyParentheses: false
 SpacesInCStyleCastParentheses: false
 SpaceAfterControlStatementKeyword: true
diff --git a/src/MPL_isnan.h b/src/MPL_isnan.h
deleted file mode 100644
index 61723dc575d1..000000000000
--- a/src/MPL_isnan.h
+++ /dev/null
@@ -1,69 +0,0 @@
-/*
-
-These definitions were inspired by and originally modified from
-numarray's Include/numarray/nummacro.h
-
-The "64" below refers to double precision floating point numbers. This
-code only works on doubles.
-
-*/
-
-#ifdef _ISOC99_SOURCE
-#include <stdint.h>
-#endif
-
-#if defined(_MSC_VER)
-typedef __int64                  MPL_Int64;
-#else
-#if defined(_ISOC99_SOURCE)
-typedef int64_t                  MPL_Int64;
-#else
-typedef long long                MPL_Int64;
-#endif
-#endif
-
-#if !defined(MPL_U64)
-#define MPL_U64(u) (* (MPL_Int64 *) &(u) )
-#endif /* MPL_U64 */
-
-#if !defined(MPL_isnan64)
-#if !defined(_MSC_VER)
-#define MPL_isnan64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000LL)  == 0x7ff0000000000000LL)  && ((MPL_U64(u) &  0x000fffffffffffffLL) != 0)) ? 1:0
-#else
-#define MPL_isnan64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000i64) == 0x7ff0000000000000i64)  && ((MPL_U64(u) & 0x000fffffffffffffi64) != 0)) ? 1:0
-#endif
-#endif /* MPL_isnan64 */
-
-#if !defined(MPL_isinf64)
-#if !defined(_MSC_VER)
-#define MPL_isinf64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000LL)  == 0x7ff0000000000000LL)  && ((MPL_U64(u) &  0x000fffffffffffffLL) == 0)) ? 1:0
-#else
-#define MPL_isinf64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000i64) == 0x7ff0000000000000i64)  && ((MPL_U64(u) & 0x000fffffffffffffi64) == 0)) ? 1:0
-#endif
-#endif /* MPL_isinf64 */
-
-#if !defined(MPL_isfinite64)
-#if !defined(_MSC_VER)
-#define MPL_isfinite64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000LL)  != 0x7ff0000000000000LL)) ? 1:0
-#else
-#define MPL_isfinite64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000i64) != 0x7ff0000000000000i64)) ? 1:0
-#endif
-#endif /* MPL_isfinite64 */
-
-#if !defined(MPL_notisfinite64)
-#if !defined(_MSC_VER)
-#define MPL_notisfinite64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000LL)  == 0x7ff0000000000000LL)) ? 1:0
-#else
-#define MPL_notisfinite64(u) \
-  ( (( MPL_U64(u) & 0x7ff0000000000000i64) == 0x7ff0000000000000i64)) ? 1:0
-#endif
-#endif /* MPL_notisfinite64 */
-
-
diff --git a/src/_backend_agg.cpp b/src/_backend_agg.cpp
index 36ff8a268da7..4d097bc80716 100644
--- a/src/_backend_agg.cpp
+++ b/src/_backend_agg.cpp
@@ -2,38 +2,17 @@
 
 #define NO_IMPORT_ARRAY
 
+#include <Python.h>
 #include "_backend_agg.h"
-#include "mplutils.h"
-#include "MPL_isnan.h"
-
-void BufferRegion::to_string_argb(uint8_t *buf)
-{
-    unsigned char *pix;
-    unsigned char tmp;
-    size_t i, j;
-
-    memcpy(buf, data, height * stride);
-
-    for (i = 0; i < (size_t)height; ++i) {
-        pix = buf + i * stride;
-        for (j = 0; j < (size_t)width; ++j) {
-            // Convert rgba to argb
-            tmp = pix[2];
-            pix[2] = pix[0];
-            pix[0] = tmp;
-            pix += 4;
-        }
-    }
-}
 
 RendererAgg::RendererAgg(unsigned int width, unsigned int height, double dpi)
     : width(width),
       height(height),
       dpi(dpi),
-      NUMBYTES(width * height * 4),
-      pixBuffer(NULL),
+      NUMBYTES((size_t)width * (size_t)height * 4),
+      pixBuffer(nullptr),
       renderingBuffer(),
-      alphaBuffer(NULL),
+      alphaBuffer(nullptr),
       alphaMaskRenderingBuffer(),
       alphaMask(alphaMaskRenderingBuffer),
       pixfmtAlphaMask(alphaMaskRenderingBuffer),
@@ -46,10 +25,20 @@ RendererAgg::RendererAgg(unsigned int width, unsigned int height, double dpi)
       rendererBase(),
       rendererAA(),
       rendererBin(),
-      theRasterizer(4096),
-      lastclippath(NULL),
+      theRasterizer(32768),
+      lastclippath(nullptr),
       _fill_color(agg::rgba(1, 1, 1, 0))
 {
+    if (dpi <= 0.0) {
+        throw std::range_error("dpi must be positive");
+    }
+
+    if (width >= 1 << 23 || height >= 1 << 23) {
+        throw std::range_error(
+            "Image size of " + std::to_string(width) + "x" + std::to_string(height) +
+            " pixels is too large. It must be less than 2^23 in each direction.");
+    }
+
     unsigned stride(width * 4);
 
     pixBuffer = new agg::int8u[NUMBYTES];
@@ -59,11 +48,14 @@ RendererAgg::RendererAgg(unsigned int width, unsigned int height, double dpi)
     rendererBase.clear(_fill_color);
     rendererAA.attach(rendererBase);
     rendererBin.attach(rendererBase);
-    hatchRenderingBuffer.attach(hatchBuffer, HATCH_SIZE, HATCH_SIZE, HATCH_SIZE * 4);
+    hatch_size = int(dpi);
+    hatchBuffer = new agg::int8u[hatch_size * hatch_size * 4];
+    hatchRenderingBuffer.attach(hatchBuffer, hatch_size, hatch_size, hatch_size * 4);
 }
 
 RendererAgg::~RendererAgg()
 {
+    delete[] hatchBuffer;
     delete[] alphaBuffer;
     delete[] pixBuffer;
 }
@@ -83,7 +75,7 @@ BufferRegion *RendererAgg::copy_from_bbox(agg::rect_d in_rect)
     agg::rect_i rect(
         (int)in_rect.x1, height - (int)in_rect.y2, (int)in_rect.x2, height - (int)in_rect.y1);
 
-    BufferRegion *reg = NULL;
+    BufferRegion *reg = nullptr;
     reg = new BufferRegion(rect);
 
     agg::rendering_buffer rbuf;
@@ -98,22 +90,22 @@ BufferRegion *RendererAgg::copy_from_bbox(agg::rect_d in_rect)
 
 void RendererAgg::restore_region(BufferRegion &region)
 {
-    if (region.get_data() == NULL) {
-        throw "Cannot restore_region from NULL data";
+    if (region.get_data() == nullptr) {
+        throw std::runtime_error("Cannot restore_region from NULL data");
     }
 
     agg::rendering_buffer rbuf;
     rbuf.attach(region.get_data(), region.get_width(), region.get_height(), region.get_stride());
 
-    rendererBase.copy_from(rbuf, 0, region.get_rect().x1, region.get_rect().y1);
+    rendererBase.copy_from(rbuf, nullptr, region.get_rect().x1, region.get_rect().y1);
 }
 
 // Restore the part of the saved region with offsets
 void
-RendererAgg::restore_region(BufferRegion &region, int x, int y, int xx1, int yy1, int xx2, int yy2)
+RendererAgg::restore_region(BufferRegion &region, int xx1, int yy1, int xx2, int yy2, int x, int y )
 {
-    if (region.get_data() == NULL) {
-        throw "Cannot restore_region from NULL data";
+    if (region.get_data() == nullptr) {
+        throw std::runtime_error("Cannot restore_region from NULL data");
     }
 
     agg::rect_i &rrect = region.get_rect();
@@ -126,11 +118,18 @@ RendererAgg::restore_region(BufferRegion &region, int x, int y, int xx1, int yy1
     rendererBase.copy_from(rbuf, &rect, x, y);
 }
 
-bool RendererAgg::render_clippath(py::PathIterator &clippath,
-                                  const agg::trans_affine &clippath_trans)
+bool RendererAgg::render_clippath(mpl::PathIterator &clippath,
+                                  const agg::trans_affine &clippath_trans,
+                                  e_snap_mode snap_mode)
 {
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
-    typedef agg::conv_curve<transformed_path_t> curve_t;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
+    typedef PathNanRemover<transformed_path_t> nan_removed_t;
+    /* Unlike normal Paths, the clip path cannot be clipped to the Figure bbox,
+     * because it needs to remain a complete closed path, so there is no
+     * PathClipper<nan_removed_t> step. */
+    typedef PathSnapper<nan_removed_t> snapped_t;
+    typedef PathSimplifier<snapped_t> simplify_t;
+    typedef agg::conv_curve<simplify_t> curve_t;
 
     bool has_clippath = (clippath.total_vertices() != 0);
 
@@ -143,7 +142,12 @@ bool RendererAgg::render_clippath(py::PathIterator &clippath,
 
         rendererBaseAlphaMask.clear(agg::gray8(0, 0));
         transformed_path_t transformed_clippath(clippath, trans);
-        curve_t curved_clippath(transformed_clippath);
+        nan_removed_t nan_removed_clippath(transformed_clippath, true, clippath.has_codes());
+        snapped_t snapped_clippath(nan_removed_clippath, snap_mode, clippath.total_vertices(), 0.0);
+        simplify_t simplified_clippath(snapped_clippath,
+                                       clippath.should_simplify() && !clippath.has_codes(),
+                                       clippath.simplify_threshold());
+        curve_t curved_clippath(simplified_clippath);
         theRasterizer.add_path(curved_clippath);
         rendererAlphaMask.color(agg::gray8(255, 255));
         agg::render_scanlines(theRasterizer, scanlineAlphaMask, rendererAlphaMask);
@@ -154,71 +158,6 @@ bool RendererAgg::render_clippath(py::PathIterator &clippath,
     return has_clippath;
 }
 
-void RendererAgg::tostring_rgb(uint8_t *buf)
-{
-    // "Return the rendered buffer as an RGB string"
-
-    int row_len = width * 3;
-
-    agg::rendering_buffer renderingBufferTmp;
-    renderingBufferTmp.attach(buf, width, height, row_len);
-
-    agg::color_conv(&renderingBufferTmp, &renderingBuffer, agg::color_conv_rgba32_to_rgb24());
-}
-
-void RendererAgg::tostring_argb(uint8_t *buf)
-{
-    //"Return the rendered buffer as an RGB string";
-
-    int row_len = width * 4;
-
-    agg::rendering_buffer renderingBufferTmp;
-    renderingBufferTmp.attach(buf, width, height, row_len);
-    agg::color_conv(&renderingBufferTmp, &renderingBuffer, agg::color_conv_rgba32_to_argb32());
-}
-
-void RendererAgg::tostring_bgra(uint8_t *buf)
-{
-    //"Return the rendered buffer as an RGB string";
-
-    int row_len = width * 4;
-
-    agg::rendering_buffer renderingBufferTmp;
-    renderingBufferTmp.attach(buf, width, height, row_len);
-
-    agg::color_conv(&renderingBufferTmp, &renderingBuffer, agg::color_conv_rgba32_to_bgra32());
-}
-
-agg::rect_i RendererAgg::get_content_extents()
-{
-    agg::rect_i r(width, height, 0, 0);
-
-    // Looks at the alpha channel to find the minimum extents of the image
-    unsigned char *pixel = pixBuffer + 3;
-    for (int y = 0; y < (int)height; ++y) {
-        for (int x = 0; x < (int)width; ++x) {
-            if (*pixel) {
-                if (x < r.x1)
-                    r.x1 = x;
-                if (y < r.y1)
-                    r.y1 = y;
-                if (x > r.x2)
-                    r.x2 = x;
-                if (y > r.y2)
-                    r.y2 = y;
-            }
-            pixel += 4;
-        }
-    }
-
-    r.x1 = std::max(0, r.x1 - 1);
-    r.y1 = std::max(0, r.y1 - 1);
-    r.x2 = std::max(r.x2 + 1, (int)width);
-    r.y2 = std::max(r.y2 + 1, (int)height);
-
-    return r;
-}
-
 void RendererAgg::clear()
 {
     //"clear the rendered buffer";
diff --git a/src/_backend_agg.h b/src/_backend_agg.h
index 0093443f7e12..6ecbcba1df18 100644
--- a/src/_backend_agg.h
+++ b/src/_backend_agg.h
@@ -3,16 +3,22 @@
 /* _backend_agg.h
 */
 
-#ifndef __BACKEND_AGG_H__
-#define __BACKEND_AGG_H__
+#ifndef MPL_BACKEND_AGG_H
+#define MPL_BACKEND_AGG_H
 
-#include <vector>
+#include <pybind11/pybind11.h>
+
+#include <cmath>
+#include <algorithm>
+#include <functional>
 
 #include "agg_alpha_mask_u8.h"
 #include "agg_conv_curve.h"
 #include "agg_conv_dash.h"
 #include "agg_conv_stroke.h"
+#include "agg_conv_transform.h"
 #include "agg_image_accessors.h"
+#include "agg_path_storage.h"
 #include "agg_pixfmt_amask_adaptor.h"
 #include "agg_pixfmt_gray.h"
 #include "agg_pixfmt_rgba.h"
@@ -23,7 +29,6 @@
 #include "agg_scanline_bin.h"
 #include "agg_scanline_p.h"
 #include "agg_scanline_storage_aa.h"
-#include "agg_scanline_storage_bin.h"
 #include "agg_scanline_u.h"
 #include "agg_span_allocator.h"
 #include "agg_span_converter.h"
@@ -32,17 +37,18 @@
 #include "agg_span_image_filter_rgba.h"
 #include "agg_span_interpolator_linear.h"
 #include "agg_span_pattern_rgba.h"
-#include "util/agg_color_conv_rgb8.h"
 
 #include "_backend_agg_basic_types.h"
 #include "path_converters.h"
 #include "array.h"
 #include "agg_workaround.h"
 
+namespace py = pybind11;
+
 /**********************************************************************/
 
-// a helper class to pass agg::buffer objects around.  agg::buffer is
-// a class in the swig wrapper
+// a helper class to pass agg::buffer objects around.
+
 class BufferRegion
 {
   public:
@@ -59,6 +65,10 @@ class BufferRegion
         delete[] data;
     };
 
+    // prevent copying
+    BufferRegion(const BufferRegion &) = delete;
+    BufferRegion &operator=(const BufferRegion &) = delete;
+
     agg::int8u *get_data()
     {
         return data;
@@ -84,19 +94,12 @@ class BufferRegion
         return stride;
     }
 
-    void to_string_argb(uint8_t *buf);
-
   private:
     agg::int8u *data;
     agg::rect_i rect;
     int width;
     int height;
     int stride;
-
-  private:
-    // prevent copying
-    BufferRegion(const BufferRegion &);
-    BufferRegion &operator=(const BufferRegion &);
 };
 
 #define MARKER_CACHE_SIZE 512
@@ -113,10 +116,10 @@ class RendererAgg
     typedef agg::renderer_scanline_bin_solid<renderer_base> renderer_bin;
     typedef agg::rasterizer_scanline_aa<agg::rasterizer_sl_clip_dbl> rasterizer;
 
-    typedef agg::scanline_p8 scanline_p8;
-    typedef agg::scanline_bin scanline_bin;
+    typedef agg::scanline32_p8 scanline_p8;
+    typedef agg::scanline32_bin scanline_bin;
     typedef agg::amask_no_clip_gray8 alpha_mask_type;
-    typedef agg::scanline_u8_am<alpha_mask_type> scanline_am;
+    typedef agg::scanline32_u8_am<alpha_mask_type> scanline_am;
 
     typedef agg::renderer_base<agg::pixfmt_gray8> renderer_base_alpha_mask_type;
     typedef agg::renderer_scanline_aa_solid<renderer_base_alpha_mask_type> renderer_alpha_mask_type;
@@ -156,11 +159,7 @@ class RendererAgg
     void draw_image(GCAgg &gc,
                     double x,
                     double y,
-                    ImageArray &image,
-                    double w,
-                    double h,
-                    agg::trans_affine trans,
-                    bool resize);
+                    ImageArray &image);
 
     template <class PathGenerator,
               class TransformArray,
@@ -179,13 +178,13 @@ class RendererAgg
                               LineWidthArray &linewidths,
                               DashesVector &linestyles,
                               AntialiasedArray &antialiaseds,
-                              e_offset_position offset_position);
+                              ColorArray &hatchcolors);
 
     template <class CoordinateArray, class OffsetArray, class ColorArray>
     void draw_quad_mesh(GCAgg &gc,
                         agg::trans_affine &master_transform,
-                        size_t mesh_width,
-                        size_t mesh_height,
+                        unsigned int mesh_width,
+                        unsigned int mesh_height,
                         CoordinateArray &coordinates,
                         OffsetArray &offsets,
                         agg::trans_affine &offset_trans,
@@ -193,27 +192,18 @@ class RendererAgg
                         bool antialiased,
                         ColorArray &edgecolors);
 
-    template <class PointArray, class ColorArray>
-    void draw_gouraud_triangle(GCAgg &gc,
-                               PointArray &points,
-                               ColorArray &colors,
-                               agg::trans_affine &trans);
-
     template <class PointArray, class ColorArray>
     void draw_gouraud_triangles(GCAgg &gc,
                                 PointArray &points,
                                 ColorArray &colors,
                                 agg::trans_affine &trans);
 
-    void tostring_rgb(uint8_t *buf);
-    void tostring_argb(uint8_t *buf);
-    void tostring_bgra(uint8_t *buf);
     agg::rect_i get_content_extents();
     void clear();
 
     BufferRegion *copy_from_bbox(agg::rect_d in_rect);
     void restore_region(BufferRegion &reg);
-    void restore_region(BufferRegion &region, int x, int y, int xx1, int yy1, int xx2, int yy2);
+    void restore_region(BufferRegion &region, int xx1, int yy1, int xx2, int yy2, int x, int y);
 
     unsigned int width, height;
     double dpi;
@@ -241,8 +231,8 @@ class RendererAgg
     void *lastclippath;
     agg::trans_affine lastclippath_transform;
 
-    static const size_t HATCH_SIZE = 72;
-    agg::int8u hatchBuffer[HATCH_SIZE * HATCH_SIZE * 4];
+    size_t hatch_size;
+    agg::int8u *hatchBuffer;
     agg::rendering_buffer hatchRenderingBuffer;
 
     agg::rgba _fill_color;
@@ -256,7 +246,7 @@ class RendererAgg
     template <class R>
     void set_clipbox(const agg::rect_d &cliprect, R &rasterizer);
 
-    bool render_clippath(py::PathIterator &clippath, const agg::trans_affine &clippath_trans);
+    bool render_clippath(mpl::PathIterator &clippath, const agg::trans_affine &clippath_trans, e_snap_mode snap_mode);
 
     template <class PathIteratorType>
     void _draw_path(PathIteratorType &path, bool has_clippath, const facepair_t &face, GCAgg &gc);
@@ -282,9 +272,9 @@ class RendererAgg
                                        LineWidthArray &linewidths,
                                        DashesVector &linestyles,
                                        AntialiasedArray &antialiaseds,
-                                       e_offset_position offset_position,
-                                       int check_snap,
-                                       int has_curves);
+                                       bool check_snap,
+                                       bool has_codes,
+                                       ColorArray &hatchcolors);
 
     template <class PointArray, class ColorArray>
     void _draw_gouraud_triangle(PointArray &points,
@@ -353,19 +343,20 @@ RendererAgg::_draw_path(path_t &path, bool has_clippath, const facepair_t &face,
         rendererBase.reset_clipping(true);
 
         // Create and transform the path
-        typedef agg::conv_transform<py::PathIterator> hatch_path_trans_t;
+        typedef agg::conv_transform<mpl::PathIterator> hatch_path_trans_t;
         typedef agg::conv_curve<hatch_path_trans_t> hatch_path_curve_t;
         typedef agg::conv_stroke<hatch_path_curve_t> hatch_path_stroke_t;
 
-        py::PathIterator hatch_path(gc.hatchpath);
+        mpl::PathIterator hatch_path(gc.hatchpath);
         agg::trans_affine hatch_trans;
         hatch_trans *= agg::trans_affine_scaling(1.0, -1.0);
         hatch_trans *= agg::trans_affine_translation(0.0, 1.0);
-        hatch_trans *= agg::trans_affine_scaling(HATCH_SIZE, HATCH_SIZE);
+        hatch_trans *= agg::trans_affine_scaling(static_cast<double>(hatch_size),
+                                                 static_cast<double>(hatch_size));
         hatch_path_trans_t hatch_path_trans(hatch_path, hatch_trans);
         hatch_path_curve_t hatch_path_curve(hatch_path_trans);
         hatch_path_stroke_t hatch_path_stroke(hatch_path_curve);
-        hatch_path_stroke.width(1.0);
+        hatch_path_stroke.width(points_to_pixels(gc.hatch_linewidth));
         hatch_path_stroke.line_cap(agg::square_cap);
 
         // Render the path into the hatch buffer
@@ -373,7 +364,7 @@ RendererAgg::_draw_path(path_t &path, bool has_clippath, const facepair_t &face,
         renderer_base rb(hatch_img_pixf);
         renderer_aa rs(rb);
         rb.clear(_fill_color);
-        rs.color(gc.color);
+        rs.color(gc.hatch_color);
 
         theRasterizer.add_path(hatch_path_curve);
         agg::render_scanlines(theRasterizer, slineP8, rs);
@@ -384,7 +375,7 @@ RendererAgg::_draw_path(path_t &path, bool has_clippath, const facepair_t &face,
         // function
         set_clipbox(gc.cliprect, theRasterizer);
         if (has_clippath) {
-            render_clippath(gc.clippath.path, gc.clippath.trans);
+            render_clippath(gc.clippath.path, gc.clippath.trans, gc.snap_mode);
         }
 
         // Transfer the hatch to the main image buffer
@@ -417,6 +408,7 @@ RendererAgg::_draw_path(path_t &path, bool has_clippath, const facepair_t &face,
             stroke.width(points_to_pixels(gc.linewidth));
             stroke.line_cap(gc.cap);
             stroke.line_join(gc.join);
+            stroke.miter_limit(points_to_pixels(gc.linewidth));
             theRasterizer.add_path(stroke);
         } else {
             dash_t dash(path);
@@ -425,6 +417,7 @@ RendererAgg::_draw_path(path_t &path, bool has_clippath, const facepair_t &face,
             stroke.line_cap(gc.cap);
             stroke.line_join(gc.join);
             stroke.width(linewidth);
+            stroke.miter_limit(points_to_pixels(gc.linewidth));
             theRasterizer.add_path(stroke);
         }
 
@@ -458,7 +451,7 @@ template <class PathIterator>
 inline void
 RendererAgg::draw_path(GCAgg &gc, PathIterator &path, agg::trans_affine &trans, agg::rgba &color)
 {
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> nan_removed_t;
     typedef PathClipper<nan_removed_t> clipped_t;
     typedef PathSnapper<clipped_t> snapped_t;
@@ -471,11 +464,11 @@ RendererAgg::draw_path(GCAgg &gc, PathIterator &path, agg::trans_affine &trans,
     theRasterizer.reset_clipping();
     rendererBase.reset_clipping(true);
     set_clipbox(gc.cliprect, theRasterizer);
-    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans);
+    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans, gc.snap_mode);
 
     trans *= agg::trans_affine_scaling(1.0, -1.0);
     trans *= agg::trans_affine_translation(0.0, (double)height);
-    bool clip = !face.first && gc.has_hatchpath() && !path.has_curves();
+    bool clip = !face.first && !gc.has_hatchpath();
     bool simplify = path.should_simplify() && clip;
     double snapping_linewidth = points_to_pixels(gc.linewidth);
     if (gc.color.a == 0.0) {
@@ -483,7 +476,7 @@ RendererAgg::draw_path(GCAgg &gc, PathIterator &path, agg::trans_affine &trans,
     }
 
     transformed_path_t tpath(path, trans);
-    nan_removed_t nan_removed(tpath, true, path.has_curves());
+    nan_removed_t nan_removed(tpath, true, path.has_codes());
     clipped_t clipped(nan_removed, clip, width, height);
     snapped_t snapped(clipped, gc.snap_mode, path.total_vertices(), snapping_linewidth);
     simplify_t simplified(snapped, simplify, path.simplify_threshold());
@@ -501,8 +494,9 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
                                       agg::trans_affine &trans,
                                       agg::rgba color)
 {
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
-    typedef PathSnapper<transformed_path_t> snap_t;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
+    typedef PathNanRemover<transformed_path_t> nan_removed_t;
+    typedef PathSnapper<nan_removed_t> snap_t;
     typedef agg::conv_curve<snap_t> curve_t;
     typedef agg::conv_stroke<curve_t> stroke_t;
     typedef agg::pixfmt_amask_adaptor<pixfmt, alpha_mask_type> pixfmt_amask_type;
@@ -511,18 +505,28 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
 
     // Deal with the difference in y-axis direction
     marker_trans *= agg::trans_affine_scaling(1.0, -1.0);
+
     trans *= agg::trans_affine_scaling(1.0, -1.0);
     trans *= agg::trans_affine_translation(0.5, (double)height + 0.5);
 
     transformed_path_t marker_path_transformed(marker_path, marker_trans);
-    snap_t marker_path_snapped(marker_path_transformed,
+    nan_removed_t marker_path_nan_removed(marker_path_transformed, true, marker_path.has_codes());
+    snap_t marker_path_snapped(marker_path_nan_removed,
                                gc.snap_mode,
                                marker_path.total_vertices(),
                                points_to_pixels(gc.linewidth));
     curve_t marker_path_curve(marker_path_snapped);
 
+    if (!marker_path_snapped.is_snapping()) {
+        // If the path snapper isn't in effect, at least make sure the marker
+        // at (0, 0) is in the center of a pixel.  This, importantly, makes
+        // the circle markers look centered around the point they refer to.
+        marker_trans *= agg::trans_affine_translation(0.5, 0.5);
+    }
+
     transformed_path_t path_transformed(path, trans);
-    snap_t path_snapped(path_transformed, SNAP_FALSE, path.total_vertices(), 0.0);
+    nan_removed_t path_nan_removed(path_transformed, false, false);
+    snap_t path_snapped(path_nan_removed, SNAP_FALSE, path.total_vertices(), 0.0);
     curve_t path_curve(path_snapped);
     path_curve.rewind(0);
 
@@ -561,6 +565,7 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
         stroke.width(points_to_pixels(gc.linewidth));
         stroke.line_cap(gc.cap);
         stroke.line_join(gc.join);
+        stroke.miter_limit(points_to_pixels(gc.linewidth));
         theRasterizer.reset();
         theRasterizer.add_path(stroke);
         agg::render_scanlines(theRasterizer, slineP8, scanlines);
@@ -577,7 +582,7 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
         theRasterizer.reset_clipping();
         rendererBase.reset_clipping(true);
         set_clipbox(gc.cliprect, rendererBase);
-        bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans);
+        bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans, gc.snap_mode);
 
         double x, y;
 
@@ -591,7 +596,7 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
 
         if (has_clippath) {
             while (path_curve.vertex(&x, &y) != agg::path_cmd_stop) {
-                if (MPL_notisfinite64(x) || MPL_notisfinite64(y)) {
+                if (!(std::isfinite(x) && std::isfinite(y))) {
                     continue;
                 }
 
@@ -623,7 +628,7 @@ inline void RendererAgg::draw_markers(GCAgg &gc,
             }
         } else {
             while (path_curve.vertex(&x, &y) != agg::path_cmd_stop) {
-                if (MPL_notisfinite64(x) || MPL_notisfinite64(y)) {
+                if (!(std::isfinite(x) && std::isfinite(y))) {
                     continue;
                 }
 
@@ -728,39 +733,72 @@ inline void RendererAgg::draw_text_image(GCAgg &gc, ImageArray &image, int x, in
 
     theRasterizer.reset_clipping();
     rendererBase.reset_clipping(true);
-    set_clipbox(gc.cliprect, theRasterizer);
+    if (angle != 0.0) {
+        agg::rendering_buffer srcbuf(
+                image.mutable_data(0, 0), (unsigned)image.shape(1),
+                (unsigned)image.shape(0), (unsigned)image.shape(1));
+        agg::pixfmt_gray8 pixf_img(srcbuf);
+
+        set_clipbox(gc.cliprect, theRasterizer);
+
+        auto image_height = static_cast<double>(image.shape(0)),
+             image_width = static_cast<double>(image.shape(1));
 
-    agg::rendering_buffer srcbuf(
-        image.data(), (unsigned)image.dim(1), (unsigned)image.dim(0), (unsigned)image.dim(1));
-    agg::pixfmt_gray8 pixf_img(srcbuf);
-
-    agg::trans_affine mtx;
-    mtx *= agg::trans_affine_translation(0, -image.dim(0));
-    mtx *= agg::trans_affine_rotation(-angle * agg::pi / 180.0);
-    mtx *= agg::trans_affine_translation(x, y);
-
-    agg::path_storage rect;
-    rect.move_to(0, 0);
-    rect.line_to(image.dim(1), 0);
-    rect.line_to(image.dim(1), image.dim(0));
-    rect.line_to(0, image.dim(0));
-    rect.line_to(0, 0);
-    agg::conv_transform<agg::path_storage> rect2(rect, mtx);
-
-    agg::trans_affine inv_mtx(mtx);
-    inv_mtx.invert();
-
-    agg::image_filter_lut filter;
-    filter.calculate(agg::image_filter_spline36());
-    interpolator_type interpolator(inv_mtx);
-    color_span_alloc_type sa;
-    image_accessor_type ia(pixf_img, agg::gray8(0));
-    image_span_gen_type image_span_generator(ia, interpolator, filter);
-    span_gen_type output_span_generator(&image_span_generator, gc.color);
-    renderer_type ri(rendererBase, sa, output_span_generator);
-
-    theRasterizer.add_path(rect2);
-    agg::render_scanlines(theRasterizer, slineP8, ri);
+        agg::trans_affine mtx;
+        mtx *= agg::trans_affine_translation(0, -image_height);
+        mtx *= agg::trans_affine_rotation(-angle * (agg::pi / 180.0));
+        mtx *= agg::trans_affine_translation(x, y);
+
+        agg::path_storage rect;
+        rect.move_to(0, 0);
+        rect.line_to(image_width, 0);
+        rect.line_to(image_width, image_height);
+        rect.line_to(0, image_height);
+        rect.line_to(0, 0);
+        agg::conv_transform<agg::path_storage> rect2(rect, mtx);
+
+        agg::trans_affine inv_mtx(mtx);
+        inv_mtx.invert();
+
+        agg::image_filter_lut filter;
+        filter.calculate(agg::image_filter_spline36());
+        interpolator_type interpolator(inv_mtx);
+        color_span_alloc_type sa;
+        image_accessor_type ia(pixf_img, agg::gray8(0));
+        image_span_gen_type image_span_generator(ia, interpolator, filter);
+        span_gen_type output_span_generator(&image_span_generator, gc.color);
+        renderer_type ri(rendererBase, sa, output_span_generator);
+
+        theRasterizer.add_path(rect2);
+        agg::render_scanlines(theRasterizer, slineP8, ri);
+    } else {
+        agg::rect_i fig, text;
+
+        int deltay = y - image.shape(0);
+
+        fig.init(0, 0, width, height);
+        text.init(x, deltay, x + image.shape(1), y);
+        text.clip(fig);
+
+        if (gc.cliprect.x1 != 0.0 || gc.cliprect.y1 != 0.0 || gc.cliprect.x2 != 0.0 || gc.cliprect.y2 != 0.0) {
+            agg::rect_i clip;
+
+            clip.init(mpl_round_to_int(gc.cliprect.x1),
+                      mpl_round_to_int(height - gc.cliprect.y2),
+                      mpl_round_to_int(gc.cliprect.x2),
+                      mpl_round_to_int(height - gc.cliprect.y1));
+            text.clip(clip);
+        }
+
+        if (text.x2 > text.x1) {
+            int deltax = text.x2 - text.x1;
+            int deltax2 = text.x1 - x;
+            for (int yi = text.y1; yi < text.y2; ++yi) {
+                pixFmt.blend_solid_hspan(text.x1, yi, deltax, gc.color,
+                                         &image(yi - deltay, deltax2));
+            }
+        }
+    }
 }
 
 class span_conv_alpha
@@ -790,44 +828,34 @@ template <class ImageArray>
 inline void RendererAgg::draw_image(GCAgg &gc,
                                     double x,
                                     double y,
-                                    ImageArray &image,
-                                    double w,
-                                    double h,
-                                    agg::trans_affine trans,
-                                    bool resize)
+                                    ImageArray &image)
 {
     double alpha = gc.alpha;
 
     theRasterizer.reset_clipping();
     rendererBase.reset_clipping(true);
     set_clipbox(gc.cliprect, theRasterizer);
-    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans);
+    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans, gc.snap_mode);
 
     agg::rendering_buffer buffer;
-    buffer.attach(
-        image.data(), (unsigned)image.dim(1), (unsigned)image.dim(0), -(int)image.dim(1) * 4);
+    buffer.attach(image.mutable_data(0, 0, 0),
+                  (unsigned)image.shape(1), (unsigned)image.shape(0),
+                  -(int)image.shape(1) * 4);
     pixfmt pixf(buffer);
 
-    if (resize | has_clippath) {
+    if (has_clippath) {
         agg::trans_affine mtx;
         agg::path_storage rect;
 
-        if (resize) {
-            mtx *= agg::trans_affine_scaling(1, -1);
-            mtx *= agg::trans_affine_translation(0, image.dim(0));
-            mtx *= agg::trans_affine_scaling(w / (image.dim(1)), h / (image.dim(0)));
-            mtx *= agg::trans_affine_translation(x, y);
-            mtx *= trans;
-            mtx *= agg::trans_affine_scaling(1.0, -1.0);
-            mtx *= agg::trans_affine_translation(0.0, (double)height);
-        } else {
-            mtx *= agg::trans_affine_translation((int)x, (int)(height - (y + image.dim(0))));
-        }
+        auto image_height = static_cast<double>(image.shape(0)),
+             image_width = static_cast<double>(image.shape(1));
+
+        mtx *= agg::trans_affine_translation((int)x, (int)(height - (y + image_height)));
 
         rect.move_to(0, 0);
-        rect.line_to(image.dim(1), 0);
-        rect.line_to(image.dim(1), image.dim(0));
-        rect.line_to(0, image.dim(0));
+        rect.line_to(image_width, 0);
+        rect.line_to(image_width, image_height);
+        rect.line_to(0, image_height);
         rect.line_to(0, 0);
 
         agg::conv_transform<agg::path_storage> rect2(rect, mtx);
@@ -849,34 +877,21 @@ inline void RendererAgg::draw_image(GCAgg &gc,
         span_conv_alpha conv_alpha(alpha);
         span_conv spans(image_span_generator, conv_alpha);
 
-        if (has_clippath) {
-            typedef agg::pixfmt_amask_adaptor<pixfmt, alpha_mask_type> pixfmt_amask_type;
-            typedef agg::renderer_base<pixfmt_amask_type> amask_ren_type;
-            typedef agg::renderer_scanline_aa<amask_ren_type, color_span_alloc_type, span_conv>
+        typedef agg::pixfmt_amask_adaptor<pixfmt, alpha_mask_type> pixfmt_amask_type;
+        typedef agg::renderer_base<pixfmt_amask_type> amask_ren_type;
+        typedef agg::renderer_scanline_aa<amask_ren_type, color_span_alloc_type, span_conv>
             renderer_type_alpha;
 
-            pixfmt_amask_type pfa(pixFmt, alphaMask);
-            amask_ren_type r(pfa);
-            renderer_type_alpha ri(r, sa, spans);
-
-            theRasterizer.add_path(rect2);
-            agg::render_scanlines(theRasterizer, scanlineAlphaMask, ri);
-        } else {
-            typedef agg::renderer_base<pixfmt> ren_type;
-            typedef agg::renderer_scanline_aa<ren_type, color_span_alloc_type, span_conv>
-            renderer_type;
-
-            ren_type r(pixFmt);
-            renderer_type ri(r, sa, spans);
-
-            theRasterizer.add_path(rect2);
-            agg::render_scanlines(theRasterizer, slineP8, ri);
-        }
+        pixfmt_amask_type pfa(pixFmt, alphaMask);
+        amask_ren_type r(pfa);
+        renderer_type_alpha ri(r, sa, spans);
 
+        theRasterizer.add_path(rect2);
+        agg::render_scanlines(theRasterizer, scanlineAlphaMask, ri);
     } else {
         set_clipbox(gc.cliprect, rendererBase);
         rendererBase.blend_from(
-            pixf, 0, (int)x, (int)(height - (y + image.dim(0))), (agg::int8u)(alpha * 255));
+            pixf, nullptr, (int)x, (int)(height - (y + image.shape(0))), (agg::int8u)(alpha * 255));
     }
 
     rendererBase.reset_clipping(true);
@@ -903,9 +918,9 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
                                                        LineWidthArray &linewidths,
                                                        DashesVector &linestyles,
                                                        AntialiasedArray &antialiaseds,
-                                                       e_offset_position offset_position,
-                                                       int check_snap,
-                                                       int has_curves)
+                                                       bool check_snap,
+                                                       bool has_codes,
+                                                       ColorArray &hatchcolors)
 {
     typedef agg::conv_transform<typename PathGenerator::path_iterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> nan_removed_t;
@@ -913,35 +928,24 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
     typedef PathSnapper<clipped_t> snapped_t;
     typedef agg::conv_curve<snapped_t> snapped_curve_t;
     typedef agg::conv_curve<clipped_t> curve_t;
-
-    if (offsets.dim(0) != 0 && offsets.dim(1) != 2) {
-        throw "Offsets array must be Nx2 or empty";
-    }
-
-    if (facecolors.dim(0) != 0 && facecolors.dim(1) != 4) {
-        throw "Facecolors array must be a Nx4 array or empty";
-    }
-
-    if (edgecolors.dim(0) != 0 && edgecolors.dim(1) != 4) {
-        throw "Edgecolors array must by Nx4 or empty";
-    }
-
-    if (transforms.dim(0) != 0 && (transforms.dim(1) != 3 || transforms.dim(2) != 3)) {
-        throw "Transforms array must by Nx3x3 or empty";
-    }
+    typedef Sketch<clipped_t> sketch_clipped_t;
+    typedef Sketch<curve_t> sketch_curve_t;
+    typedef Sketch<snapped_t> sketch_snapped_t;
+    typedef Sketch<snapped_curve_t> sketch_snapped_curve_t;
 
     size_t Npaths = path_generator.num_paths();
-    size_t Noffsets = offsets.size();
+    size_t Noffsets = safe_first_shape(offsets);
     size_t N = std::max(Npaths, Noffsets);
 
-    size_t Ntransforms = transforms.size();
-    size_t Nfacecolors = facecolors.size();
-    size_t Nedgecolors = edgecolors.size();
-    size_t Nlinewidths = linewidths.size();
+    size_t Ntransforms = safe_first_shape(transforms);
+    size_t Nfacecolors = safe_first_shape(facecolors);
+    size_t Nedgecolors = safe_first_shape(edgecolors);
+    size_t Nhatchcolors = safe_first_shape(hatchcolors);
+    size_t Nlinewidths = safe_first_shape(linewidths);
     size_t Nlinestyles = std::min(linestyles.size(), N);
-    size_t Naa = antialiaseds.size();
+    size_t Naa = safe_first_shape(antialiaseds);
 
-    if ((Nfacecolors == 0 && Nedgecolors == 0) || Npaths == 0) {
+    if ((Nfacecolors == 0 && Nedgecolors == 0 && Nhatchcolors == 0) || Npaths == 0) {
         return;
     }
 
@@ -949,25 +953,27 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
     theRasterizer.reset_clipping();
     rendererBase.reset_clipping(true);
     set_clipbox(cliprect, theRasterizer);
-    bool has_clippath = render_clippath(clippath, clippath_trans);
+    bool has_clippath = render_clippath(clippath, clippath_trans, gc.snap_mode);
 
     // Set some defaults, assuming no face or edge
     gc.linewidth = 0.0;
     facepair_t face;
     face.first = Nfacecolors != 0;
     agg::trans_affine trans;
+    bool do_clip = !face.first && !gc.has_hatchpath();
 
     for (int i = 0; i < (int)N; ++i) {
         typename PathGenerator::path_iterator path = path_generator(i);
 
         if (Ntransforms) {
-            typename TransformArray::sub_t subtrans = transforms[i % Ntransforms];
-            trans = agg::trans_affine(subtrans(0, 0),
-                                      subtrans(1, 0),
-                                      subtrans(0, 1),
-                                      subtrans(1, 1),
-                                      subtrans(0, 2),
-                                      subtrans(1, 2));
+            int it = i % Ntransforms;
+            trans = agg::trans_affine(transforms(it, 0, 0),
+                                      transforms(it, 1, 0),
+                                      transforms(it, 0, 1),
+                                      transforms(it, 1, 1),
+                                      transforms(it, 0, 2),
+                                      transforms(it, 1, 2));
+            trans *= master_transform;
         } else {
             trans = master_transform;
         }
@@ -976,11 +982,7 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
             double xo = offsets(i % Noffsets, 0);
             double yo = offsets(i % Noffsets, 1);
             offset_trans.transform(&xo, &yo);
-            if (offset_position == OFFSET_POSITION_DATA) {
-                trans = agg::trans_affine_translation(xo, yo) * trans;
-            } else {
-                trans *= agg::trans_affine_translation(xo, yo);
-            }
+            trans *= agg::trans_affine_translation(xo, yo);
         }
 
         // These transformations must be done post-offsets
@@ -988,13 +990,13 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
         trans *= agg::trans_affine_translation(0.0, (double)height);
 
         if (Nfacecolors) {
-            typename ColorArray::sub_t facecolor = facecolors[i % Nfacecolors];
-            face.second = agg::rgba(facecolor(0), facecolor(1), facecolor(2), facecolor(3));
+            int ic = i % Nfacecolors;
+            face.second = agg::rgba(facecolors(ic, 0), facecolors(ic, 1), facecolors(ic, 2), facecolors(ic, 3));
         }
 
         if (Nedgecolors) {
-            typename ColorArray::sub_t edgecolor = edgecolors[i % Nedgecolors];
-            gc.color = agg::rgba(edgecolor(0), edgecolor(1), edgecolor(2), edgecolor(3));
+            int ic = i % Nedgecolors;
+            gc.color = agg::rgba(edgecolors(ic, 0), edgecolors(ic, 1), edgecolors(ic, 2), edgecolors(ic, 3));
 
             if (Nlinewidths) {
                 gc.linewidth = linewidths(i % Nlinewidths);
@@ -1006,33 +1008,34 @@ inline void RendererAgg::_draw_path_collection_generic(GCAgg &gc,
             }
         }
 
-        bool do_clip = !face.first && !gc.has_hatchpath() && !has_curves;
+        if(Nhatchcolors) {
+            int ic = i % Nhatchcolors;
+            gc.hatch_color = agg::rgba(hatchcolors(ic, 0), hatchcolors(ic, 1), hatchcolors(ic, 2), hatchcolors(ic, 3));
+        }
 
+        gc.isaa = antialiaseds(i % Naa);
+        transformed_path_t tpath(path, trans);
+        nan_removed_t nan_removed(tpath, true, has_codes);
+        clipped_t clipped(nan_removed, do_clip, width, height);
         if (check_snap) {
-            gc.isaa = antialiaseds(i % Naa);
-
-            transformed_path_t tpath(path, trans);
-            nan_removed_t nan_removed(tpath, true, has_curves);
-            clipped_t clipped(nan_removed, do_clip, width, height);
             snapped_t snapped(
                 clipped, gc.snap_mode, path.total_vertices(), points_to_pixels(gc.linewidth));
-            if (has_curves) {
+            if (has_codes) {
                 snapped_curve_t curve(snapped);
-                _draw_path(curve, has_clippath, face, gc);
+                sketch_snapped_curve_t sketch(curve, gc.sketch.scale, gc.sketch.length, gc.sketch.randomness);
+                _draw_path(sketch, has_clippath, face, gc);
             } else {
-                _draw_path(snapped, has_clippath, face, gc);
+                sketch_snapped_t sketch(snapped, gc.sketch.scale, gc.sketch.length, gc.sketch.randomness);
+                _draw_path(sketch, has_clippath, face, gc);
             }
         } else {
-            gc.isaa = antialiaseds(i % Naa);
-
-            transformed_path_t tpath(path, trans);
-            nan_removed_t nan_removed(tpath, true, has_curves);
-            clipped_t clipped(nan_removed, do_clip, width, height);
-            if (has_curves) {
+            if (has_codes) {
                 curve_t curve(clipped);
-                _draw_path(curve, has_clippath, face, gc);
+                sketch_curve_t sketch(curve, gc.sketch.scale, gc.sketch.length, gc.sketch.randomness);
+                _draw_path(sketch, has_clippath, face, gc);
             } else {
-                _draw_path(clipped, has_clippath, face, gc);
+                sketch_clipped_t sketch(clipped, gc.sketch.scale, gc.sketch.length, gc.sketch.randomness);
+                _draw_path(sketch, has_clippath, face, gc);
             }
         }
     }
@@ -1055,7 +1058,7 @@ inline void RendererAgg::draw_path_collection(GCAgg &gc,
                                               LineWidthArray &linewidths,
                                               DashesVector &linestyles,
                                               AntialiasedArray &antialiaseds,
-                                              e_offset_position offset_position)
+                                              ColorArray &hatchcolors)
 {
     _draw_path_collection_generic(gc,
                                   master_transform,
@@ -1071,9 +1074,9 @@ inline void RendererAgg::draw_path_collection(GCAgg &gc,
                                   linewidths,
                                   linestyles,
                                   antialiaseds,
-                                  offset_position,
-                                  1,
-                                  1);
+                                  true,
+                                  true,
+                                  hatchcolors);
 }
 
 template <class CoordinateArray>
@@ -1140,7 +1143,7 @@ class QuadMeshGenerator
 
     inline size_t num_paths() const
     {
-        return m_meshWidth * m_meshHeight;
+        return (size_t) m_meshWidth * m_meshHeight;
     }
 
     inline path_iterator operator()(size_t i) const
@@ -1152,8 +1155,8 @@ class QuadMeshGenerator
 template <class CoordinateArray, class OffsetArray, class ColorArray>
 inline void RendererAgg::draw_quad_mesh(GCAgg &gc,
                                         agg::trans_affine &master_transform,
-                                        size_t mesh_width,
-                                        size_t mesh_height,
+                                        unsigned int mesh_width,
+                                        unsigned int mesh_height,
                                         CoordinateArray &coordinates,
                                         OffsetArray &offsets,
                                         agg::trans_affine &offset_trans,
@@ -1167,13 +1170,7 @@ inline void RendererAgg::draw_quad_mesh(GCAgg &gc,
     array::scalar<double, 1> linewidths(gc.linewidth);
     array::scalar<uint8_t, 1> antialiaseds(antialiased);
     DashesVector linestyles;
-    ColorArray *edgecolors_ptr = &edgecolors;
-
-    if (edgecolors.size() == 0) {
-        if (antialiased) {
-            edgecolors_ptr = &facecolors;
-        }
-    }
+    ColorArray hatchcolors = py::array_t<double>().reshape({0, 4}).unchecked<double, 2>();
 
     _draw_path_collection_generic(gc,
                                   master_transform,
@@ -1185,13 +1182,13 @@ inline void RendererAgg::draw_quad_mesh(GCAgg &gc,
                                   offsets,
                                   offset_trans,
                                   facecolors,
-                                  *edgecolors_ptr,
+                                  edgecolors,
                                   linewidths,
                                   linestyles,
                                   antialiaseds,
-                                  OFFSET_POSITION_FIGURE,
-                                  0,
-                                  0);
+                                  true, // check_snap
+                                  false,
+                                  hatchcolors);
 }
 
 template <class PointArray, class ColorArray>
@@ -1214,6 +1211,9 @@ inline void RendererAgg::_draw_gouraud_triangle(PointArray &points,
             tpoints[i][j] = points(i, j);
         }
         trans.transform(&tpoints[i][0], &tpoints[i][1]);
+        if(std::isnan(tpoints[i][0]) || std::isnan(tpoints[i][1])) {
+            return;
+        }
     }
 
     span_alloc_t span_alloc;
@@ -1247,54 +1247,33 @@ inline void RendererAgg::_draw_gouraud_triangle(PointArray &points,
     }
 }
 
-template <class PointArray, class ColorArray>
-inline void RendererAgg::draw_gouraud_triangle(GCAgg &gc,
-                                               PointArray &points,
-                                               ColorArray &colors,
-                                               agg::trans_affine &trans)
-{
-    theRasterizer.reset_clipping();
-    rendererBase.reset_clipping(true);
-    set_clipbox(gc.cliprect, theRasterizer);
-    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans);
-
-    if (points.dim(0) != 3 || points.dim(1) != 2) {
-        throw "points must be a 3x2 array";
-    }
-
-    if (colors.dim(0) != 3 || colors.dim(1) != 4) {
-        throw "colors must be a 3x4 array";
-    }
-
-    _draw_gouraud_triangle(points, colors, trans, has_clippath);
-}
-
 template <class PointArray, class ColorArray>
 inline void RendererAgg::draw_gouraud_triangles(GCAgg &gc,
                                                 PointArray &points,
                                                 ColorArray &colors,
                                                 agg::trans_affine &trans)
 {
-    theRasterizer.reset_clipping();
-    rendererBase.reset_clipping(true);
-    set_clipbox(gc.cliprect, theRasterizer);
-    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans);
-
-    if (points.dim(1) != 3 || points.dim(2) != 2) {
-        throw "points must be a Nx3x2 array";
+    if (points.shape(0)) {
+        check_trailing_shape(points, "points", 3, 2);
     }
-
-    if (colors.dim(1) != 3 || colors.dim(2) != 4) {
-        throw "colors must be a Nx3x4 array";
+    if (colors.shape(0)) {
+        check_trailing_shape(colors, "colors", 3, 4);
     }
-
-    if (points.dim(0) != colors.dim(0)) {
-        throw "points and colors arrays must be the same length";
+    if (points.shape(0) != colors.shape(0)) {
+        throw py::value_error(
+            "points and colors arrays must be the same length, got " +
+            std::to_string(points.shape(0)) + " points and " +
+            std::to_string(colors.shape(0)) + "colors");
     }
 
-    for (int i = 0; i < points.dim(0); ++i) {
-        typename PointArray::sub_t point = points[i];
-        typename ColorArray::sub_t color = colors[i];
+    theRasterizer.reset_clipping();
+    rendererBase.reset_clipping(true);
+    set_clipbox(gc.cliprect, theRasterizer);
+    bool has_clippath = render_clippath(gc.clippath.path, gc.clippath.trans, gc.snap_mode);
+
+    for (int i = 0; i < points.shape(0); ++i) {
+        auto point = std::bind(points, i, std::placeholders::_1, std::placeholders::_2);
+        auto color = std::bind(colors, i, std::placeholders::_1, std::placeholders::_2);
 
         _draw_gouraud_triangle(point, color, trans, has_clippath);
     }
diff --git a/src/_backend_agg_basic_types.h b/src/_backend_agg_basic_types.h
index cea2b7e14f0f..b424419ec99e 100644
--- a/src/_backend_agg_basic_types.h
+++ b/src/_backend_agg_basic_types.h
@@ -1,20 +1,26 @@
-#ifndef __BACKEND_AGG_BASIC_TYPES_H__
-#define __BACKEND_AGG_BASIC_TYPES_H__
+#ifndef MPL_BACKEND_AGG_BASIC_TYPES_H
+#define MPL_BACKEND_AGG_BASIC_TYPES_H
 
 /* Contains some simple types from the Agg backend that are also used
    by other modules */
 
+#include <pybind11/pybind11.h>
+
+#include <unordered_map>
 #include <vector>
 
 #include "agg_color_rgba.h"
 #include "agg_math_stroke.h"
+#include "agg_trans_affine.h"
 #include "path_converters.h"
 
 #include "py_adaptors.h"
 
+namespace py = pybind11;
+
 struct ClipPath
 {
-    py::PathIterator path;
+    mpl::PathIterator path;
     agg::trans_affine trans;
 };
 
@@ -42,7 +48,7 @@ class Dashes
     }
     void add_dash_pair(double length, double skip)
     {
-        dashes.push_back(std::make_pair(length, skip));
+        dashes.emplace_back(length, skip);
     }
     size_t size() const
     {
@@ -52,27 +58,22 @@ class Dashes
     template <class T>
     void dash_to_stroke(T &stroke, double dpi, bool isaa)
     {
-        for (dash_t::const_iterator i = dashes.begin(); i != dashes.end(); ++i) {
-            double val0 = i->first;
-            double val1 = i->second;
-            val0 = val0 * dpi / 72.0;
-            val1 = val1 * dpi / 72.0;
+        double scaleddpi = dpi / 72.0;
+        for (auto [val0, val1] : dashes) {
+            val0 = val0 * scaleddpi;
+            val1 = val1 * scaleddpi;
             if (!isaa) {
                 val0 = (int)val0 + 0.5;
                 val1 = (int)val1 + 0.5;
             }
             stroke.add_dash(val0, val1);
         }
+        stroke.dash_start(get_dash_offset() * scaleddpi);
     }
 };
 
 typedef std::vector<Dashes> DashesVector;
 
-enum e_offset_position {
-    OFFSET_POSITION_FIGURE,
-    OFFSET_POSITION_DATA
-};
-
 class GCAgg
 {
   public:
@@ -106,13 +107,15 @@ class GCAgg
 
     e_snap_mode snap_mode;
 
-    py::PathIterator hatchpath;
+    mpl::PathIterator hatchpath;
+    agg::rgba hatch_color;
+    double hatch_linewidth;
 
     SketchParams sketch;
 
     bool has_hatchpath()
     {
-        return hatchpath.total_vertices();
+        return hatchpath.total_vertices() != 0;
     }
 
   private:
@@ -121,4 +124,132 @@ class GCAgg
     GCAgg &operator=(const GCAgg &);
 };
 
+namespace PYBIND11_NAMESPACE { namespace detail {
+    template <> struct type_caster<agg::line_cap_e> {
+    public:
+        PYBIND11_TYPE_CASTER(agg::line_cap_e, const_name("line_cap_e"));
+
+        bool load(handle src, bool) {
+            const std::unordered_map<std::string, agg::line_cap_e> enum_values = {
+                {"butt", agg::butt_cap},
+                {"round", agg::round_cap},
+                {"projecting", agg::square_cap},
+            };
+            value = enum_values.at(src.cast<std::string>());
+            return true;
+        }
+    };
+
+    template <> struct type_caster<agg::line_join_e> {
+    public:
+        PYBIND11_TYPE_CASTER(agg::line_join_e, const_name("line_join_e"));
+
+        bool load(handle src, bool) {
+            const std::unordered_map<std::string, agg::line_join_e> enum_values = {
+                {"miter", agg::miter_join_revert},
+                {"round", agg::round_join},
+                {"bevel", agg::bevel_join},
+            };
+            value = enum_values.at(src.cast<std::string>());
+            return true;
+        }
+    };
+
+    template <> struct type_caster<ClipPath> {
+    public:
+        PYBIND11_TYPE_CASTER(ClipPath, const_name("ClipPath"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                return true;
+            }
+
+            auto [path, trans] =
+                src.cast<std::pair<std::optional<mpl::PathIterator>, agg::trans_affine>>();
+            if (path) {
+                value.path = *path;
+            }
+            value.trans = trans;
+
+            return true;
+        }
+    };
+
+    template <> struct type_caster<Dashes> {
+    public:
+        PYBIND11_TYPE_CASTER(Dashes, const_name("Dashes"));
+
+        bool load(handle src, bool) {
+            auto [dash_offset, dashes_seq_or_none] =
+                src.cast<std::pair<double, std::optional<py::sequence>>>();
+
+            if (!dashes_seq_or_none) {
+                return true;
+            }
+
+            auto dashes_seq = *dashes_seq_or_none;
+
+            auto nentries = dashes_seq.size();
+            // If the dashpattern has odd length, iterate through it twice (in
+            // accordance with the pdf/ps/svg specs).
+            auto dash_pattern_length = (nentries % 2) ? 2 * nentries : nentries;
+
+            for (py::size_t i = 0; i < dash_pattern_length; i += 2) {
+                auto length = dashes_seq[i % nentries].cast<double>();
+                auto skip = dashes_seq[(i + 1) % nentries].cast<double>();
+
+                value.add_dash_pair(length, skip);
+            }
+
+            value.set_dash_offset(dash_offset);
+
+            return true;
+        }
+    };
+
+    template <> struct type_caster<SketchParams> {
+    public:
+        PYBIND11_TYPE_CASTER(SketchParams, const_name("SketchParams"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                value.scale = 0.0;
+                value.length = 0.0;
+                value.randomness = 0.0;
+                return true;
+            }
+
+            auto params = src.cast<std::tuple<double, double, double>>();
+            std::tie(value.scale, value.length, value.randomness) = params;
+
+            return true;
+        }
+    };
+
+    template <> struct type_caster<GCAgg> {
+    public:
+        PYBIND11_TYPE_CASTER(GCAgg, const_name("GCAgg"));
+
+        bool load(handle src, bool) {
+            value.linewidth = src.attr("_linewidth").cast<double>();
+            value.alpha = src.attr("_alpha").cast<double>();
+            value.forced_alpha = src.attr("_forced_alpha").cast<bool>();
+            value.color = src.attr("_rgb").cast<agg::rgba>();
+            value.isaa = src.attr("_antialiased").cast<bool>();
+            value.cap = src.attr("_capstyle").cast<agg::line_cap_e>();
+            value.join = src.attr("_joinstyle").cast<agg::line_join_e>();
+            value.dashes = src.attr("get_dashes")().cast<Dashes>();
+            value.cliprect = src.attr("_cliprect").cast<agg::rect_d>();
+            value.clippath = src.attr("get_clip_path")().cast<ClipPath>();
+            value.snap_mode = src.attr("get_snap")().cast<e_snap_mode>();
+            value.hatchpath = src.attr("get_hatch_path")().cast<mpl::PathIterator>();
+            value.hatch_color = src.attr("get_hatch_color")().cast<agg::rgba>();
+            value.hatch_linewidth = src.attr("get_hatch_linewidth")().cast<double>();
+            value.sketch = src.attr("get_sketch_params")().cast<SketchParams>();
+
+            return true;
+        }
+    };
+}} // namespace PYBIND11_NAMESPACE::detail
+
 #endif
diff --git a/src/_backend_agg_wrapper.cpp b/src/_backend_agg_wrapper.cpp
index 753afe3837d2..3dd50b31f64a 100644
--- a/src/_backend_agg_wrapper.cpp
+++ b/src/_backend_agg_wrapper.cpp
@@ -1,748 +1,287 @@
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+#include <pybind11/stl.h>
 #include "mplutils.h"
 #include "py_converters.h"
 #include "_backend_agg.h"
 
-typedef struct
-{
-    PyObject_HEAD;
-    RendererAgg *x;
-    Py_ssize_t shape[3];
-    Py_ssize_t strides[3];
-    Py_ssize_t suboffsets[3];
-} PyRendererAgg;
-
-typedef struct
-{
-    PyObject_HEAD;
-    BufferRegion *x;
-    Py_ssize_t shape[3];
-    Py_ssize_t strides[3];
-    Py_ssize_t suboffsets[3];
-} PyBufferRegion;
-
+namespace py = pybind11;
+using namespace pybind11::literals;
 
 /**********************************************************************
  * BufferRegion
  * */
 
-static PyObject *PyBufferRegion_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    PyBufferRegion *self;
-    self = (PyBufferRegion *)type->tp_alloc(type, 0);
-    self->x = NULL;
-    return (PyObject *)self;
-}
-
-static void PyBufferRegion_dealloc(PyBufferRegion *self)
-{
-    delete self->x;
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-static PyObject *PyBufferRegion_to_string(PyBufferRegion *self, PyObject *args, PyObject *kwds)
-{
-    return PyBytes_FromStringAndSize((const char *)self->x->get_data(),
-                                     self->x->get_height() * self->x->get_stride());
-}
-
 /* TODO: This doesn't seem to be used internally.  Remove? */
 
-static PyObject *PyBufferRegion_set_x(PyBufferRegion *self, PyObject *args, PyObject *kwds)
+static void
+PyBufferRegion_set_x(BufferRegion *self, int x)
 {
-    int x;
-    if (!PyArg_ParseTuple(args, "i:set_x", &x)) {
-        return NULL;
-    }
-    self->x->get_rect().x1 = x;
-
-    Py_RETURN_NONE;
+    self->get_rect().x1 = x;
 }
 
-static PyObject *PyBufferRegion_set_y(PyBufferRegion *self, PyObject *args, PyObject *kwds)
+static void
+PyBufferRegion_set_y(BufferRegion *self, int y)
 {
-    int y;
-    if (!PyArg_ParseTuple(args, "i:set_y", &y)) {
-        return NULL;
-    }
-    self->x->get_rect().y1 = y;
-
-    Py_RETURN_NONE;
+    self->get_rect().y1 = y;
 }
 
-static PyObject *PyBufferRegion_get_extents(PyBufferRegion *self, PyObject *args, PyObject *kwds)
+static py::object
+PyBufferRegion_get_extents(BufferRegion *self)
 {
-    agg::rect_i rect = self->x->get_rect();
+    agg::rect_i rect = self->get_rect();
 
-    return Py_BuildValue("IIII", rect.x1, rect.y1, rect.x2, rect.y2);
-}
-
-static PyObject *PyBufferRegion_to_string_argb(PyBufferRegion *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *bufobj;
-    uint8_t *buf;
-
-    bufobj = PyBytes_FromStringAndSize(NULL, self->x->get_height() * self->x->get_stride());
-    buf = (uint8_t *)PyBytes_AS_STRING(bufobj);
-
-    CALL_CPP_CLEANUP("to_string_argb", (self->x->to_string_argb(buf)), Py_DECREF(bufobj));
-
-    return bufobj;
-}
-
-int PyBufferRegion_get_buffer(PyBufferRegion *self, Py_buffer *buf, int flags)
-{
-    Py_INCREF(self);
-    buf->obj = (PyObject *)self;
-    buf->buf = self->x->get_data();
-    buf->len = self->x->get_width() * self->x->get_height() * 4;
-    buf->readonly = 0;
-    buf->format = (char *)"B";
-    buf->ndim = 3;
-    self->shape[0] = self->x->get_height();
-    self->shape[1] = self->x->get_width();
-    self->shape[2] = 4;
-    buf->shape = self->shape;
-    self->strides[0] = self->x->get_width() * 4;
-    self->strides[1] = 4;
-    self->strides[2] = 1;
-    buf->strides = self->strides;
-    buf->suboffsets = NULL;
-    buf->itemsize = 1;
-    buf->internal = NULL;
-
-    return 1;
-}
-
-static PyTypeObject PyBufferRegionType;
-
-static PyTypeObject *PyBufferRegion_init_type(PyObject *m, PyTypeObject *type)
-{
-    static PyMethodDef methods[] = {
-        { "to_string", (PyCFunction)PyBufferRegion_to_string, METH_NOARGS, NULL },
-        { "to_string_argb", (PyCFunction)PyBufferRegion_to_string_argb, METH_NOARGS, NULL },
-        { "set_x", (PyCFunction)PyBufferRegion_set_x, METH_VARARGS, NULL },
-        { "set_y", (PyCFunction)PyBufferRegion_set_y, METH_VARARGS, NULL },
-        { "get_extents", (PyCFunction)PyBufferRegion_get_extents, METH_NOARGS, NULL },
-        { NULL }
-    };
-
-    static PyBufferProcs buffer_procs;
-    memset(&buffer_procs, 0, sizeof(PyBufferProcs));
-    buffer_procs.bf_getbuffer = (getbufferproc)PyBufferRegion_get_buffer;
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib.backends._backend_agg.BufferRegion";
-    type->tp_basicsize = sizeof(PyBufferRegion);
-    type->tp_dealloc = (destructor)PyBufferRegion_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;
-    type->tp_methods = methods;
-    type->tp_new = PyBufferRegion_new;
-    type->tp_as_buffer = &buffer_procs;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    /* Don't need to add to module, since you can't create buffer
-       regions directly from Python */
-
-    return type;
+    return py::make_tuple(rect.x1, rect.y1, rect.x2, rect.y2);
 }
 
 /**********************************************************************
  * RendererAgg
  * */
 
-static PyObject *PyRendererAgg_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    PyRendererAgg *self;
-    self = (PyRendererAgg *)type->tp_alloc(type, 0);
-    self->x = NULL;
-    return (PyObject *)self;
-}
-
-static int PyRendererAgg_init(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    unsigned int width;
-    unsigned int height;
-    double dpi;
-    int debug = 0;
-
-    if (!PyArg_ParseTuple(args, "IId|i:RendererAgg", &width, &height, &dpi, &debug)) {
-        return -1;
-    }
-
-    if (dpi <= 0.0) {
-        PyErr_SetString(PyExc_ValueError, "dpi must be positive");
-        return -1;
+static void
+PyRendererAgg_draw_path(RendererAgg *self,
+                        GCAgg &gc,
+                        mpl::PathIterator path,
+                        agg::trans_affine trans,
+                        py::object rgbFace)
+{
+    agg::rgba face = rgbFace.cast<agg::rgba>();
+    if (!rgbFace.is_none()) {
+        if (gc.forced_alpha || rgbFace.cast<py::sequence>().size() == 3) {
+            face.a = gc.alpha;
+        }
     }
 
-    CALL_CPP_INIT("RendererAgg", self->x = new RendererAgg(width, height, dpi))
-
-    return 0;
-}
-
-static void PyRendererAgg_dealloc(PyRendererAgg *self)
-{
-    delete self->x;
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-static PyObject *PyRendererAgg_draw_path(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    py::PathIterator path;
-    agg::trans_affine trans;
-    PyObject *faceobj = NULL;
-    agg::rgba face;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&|O:draw_path",
-                          &convert_gcagg,
-                          &gc,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &faceobj)) {
-        return NULL;
-    }
-
-    if (!convert_face(faceobj, gc, &face)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_path", (self->x->draw_path(gc, path, trans, face)));
-
-    Py_RETURN_NONE;
-}
-
-static PyObject *PyRendererAgg_draw_text_image(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<agg::int8u, 2> image;
-    double x;
-    double y;
-    double angle;
-    GCAgg gc;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&dddO&:draw_text_image",
-                          &image.converter_contiguous,
-                          &image,
-                          &x,
-                          &y,
-                          &angle,
-                          &convert_gcagg,
-                          &gc)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_text_image", (self->x->draw_text_image(gc, image, x, y, angle)));
-
-    Py_RETURN_NONE;
-}
-
-PyObject *PyRendererAgg_draw_markers(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    py::PathIterator marker_path;
-    agg::trans_affine marker_path_trans;
-    py::PathIterator path;
-    agg::trans_affine trans;
-    PyObject *faceobj = NULL;
-    agg::rgba face;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&O&|O:draw_markers",
-                          &convert_gcagg,
-                          &gc,
-                          &convert_path,
-                          &marker_path,
-                          &convert_trans_affine,
-                          &marker_path_trans,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &faceobj)) {
-        return NULL;
-    }
-
-    if (!convert_face(faceobj, gc, &face)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_markers",
-             (self->x->draw_markers(gc, marker_path, marker_path_trans, path, trans, face)));
-
-    Py_RETURN_NONE;
+    self->draw_path(gc, path, trans, face);
 }
 
-static PyObject *PyRendererAgg_draw_image(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    double x;
-    double y;
-    numpy::array_view<agg::int8u, 3> image;
-    double w = 0;
-    double h = 0;
-    agg::trans_affine trans;
-    bool resize = false;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&ddO&|ddO&:draw_image",
-                          &convert_gcagg,
-                          &gc,
-                          &x,
-                          &y,
-                          &image.converter_contiguous,
-                          &image,
-                          &w,
-                          &h,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
-    }
-
-    if (PyTuple_Size(args) == 4) {
-        x = mpl_round(x);
-        y = mpl_round(y);
+static void
+PyRendererAgg_draw_text_image(RendererAgg *self,
+                              py::array_t<agg::int8u, py::array::c_style | py::array::forcecast> image_obj,
+                              std::variant<double, int> vx,
+                              std::variant<double, int> vy,
+                              double angle,
+                              GCAgg &gc)
+{
+    int x, y;
+
+    if (auto value = std::get_if<double>(&vx)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="x", "obj_type"_a="parameter as float",
+             "alternative"_a="int(x)");
+        x = static_cast<int>(*value);
+    } else if (auto value = std::get_if<int>(&vx)) {
+        x = *value;
     } else {
-        resize = true;
-    }
-
-    CALL_CPP("draw_image", (self->x->draw_image(gc, x, y, image, w, h, trans, resize)));
-
-    Py_RETURN_NONE;
-}
-
-static PyObject *
-PyRendererAgg_draw_path_collection(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    agg::trans_affine master_transform;
-    PyObject *pathobj;
-    numpy::array_view<const double, 3> transforms;
-    numpy::array_view<const double, 2> offsets;
-    agg::trans_affine offset_trans;
-    numpy::array_view<const double, 2> facecolors;
-    numpy::array_view<const double, 2> edgecolors;
-    numpy::array_view<const double, 1> linewidths;
-    DashesVector dashes;
-    numpy::array_view<const uint8_t, 1> antialiaseds;
-    PyObject *ignored;
-    e_offset_position offset_position;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&OO&O&O&O&O&O&O&O&OO&:draw_path_collection",
-                          &convert_gcagg,
-                          &gc,
-                          &convert_trans_affine,
-                          &master_transform,
-                          &pathobj,
-                          &transforms.converter,
-                          &transforms,
-                          &offsets.converter,
-                          &offsets,
-                          &convert_trans_affine,
-                          &offset_trans,
-                          &facecolors.converter,
-                          &facecolors,
-                          &edgecolors.converter,
-                          &edgecolors,
-                          &linewidths.converter,
-                          &linewidths,
-                          &convert_dashes_vector,
-                          &dashes,
-                          &antialiaseds.converter,
-                          &antialiaseds,
-                          &ignored,
-                          &convert_offset_position,
-                          &offset_position)) {
-        return NULL;
-    }
-
-    try
-    {
-        py::PathGenerator path(pathobj);
-
-        CALL_CPP("draw_path_collection",
-                 (self->x->draw_path_collection(gc,
-                                                master_transform,
-                                                path,
-                                                transforms,
-                                                offsets,
-                                                offset_trans,
-                                                facecolors,
-                                                edgecolors,
-                                                linewidths,
-                                                dashes,
-                                                antialiaseds,
-                                                offset_position)));
-    }
-    catch (py::exception &e)
-    {
-        return NULL;
+        throw std::runtime_error("Should not happen");
     }
 
-    Py_RETURN_NONE;
-}
-
-static PyObject *PyRendererAgg_draw_quad_mesh(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    agg::trans_affine master_transform;
-    size_t mesh_width;
-    size_t mesh_height;
-    numpy::array_view<const double, 3> coordinates;
-    numpy::array_view<const double, 2> offsets;
-    agg::trans_affine offset_trans;
-    numpy::array_view<const double, 2> facecolors;
-    int antialiased;
-    numpy::array_view<const double, 2> edgecolors;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&IIO&O&O&O&iO&:draw_quad_mesh",
-                          &convert_gcagg,
-                          &gc,
-                          &convert_trans_affine,
-                          &master_transform,
-                          &mesh_width,
-                          &mesh_height,
-                          &coordinates.converter,
-                          &coordinates,
-                          &offsets.converter,
-                          &offsets,
-                          &convert_trans_affine,
-                          &offset_trans,
-                          &facecolors.converter,
-                          &facecolors,
-                          &antialiased,
-                          &edgecolors.converter,
-                          &edgecolors)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_quad_mesh",
-             (self->x->draw_quad_mesh(gc,
-                                      master_transform,
-                                      mesh_width,
-                                      mesh_height,
-                                      coordinates,
-                                      offsets,
-                                      offset_trans,
-                                      facecolors,
-                                      antialiased,
-                                      edgecolors)));
-
-    Py_RETURN_NONE;
-}
-
-static PyObject *
-PyRendererAgg_draw_gouraud_triangle(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    numpy::array_view<const double, 2> points;
-    numpy::array_view<const double, 2> colors;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&|O:draw_gouraud_triangle",
-                          &convert_gcagg,
-                          &gc,
-                          &points.converter,
-                          &points,
-                          &colors.converter,
-                          &colors,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
+    if (auto value = std::get_if<double>(&vy)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="y", "obj_type"_a="parameter as float",
+             "alternative"_a="int(y)");
+        y = static_cast<int>(*value);
+    } else if (auto value = std::get_if<int>(&vy)) {
+        y = *value;
+    } else {
+        throw std::runtime_error("Should not happen");
     }
 
-    CALL_CPP("draw_gouraud_triangle", (self->x->draw_gouraud_triangle(gc, points, colors, trans)));
+    // TODO: This really shouldn't be mutable, but Agg's renderer buffers aren't const.
+    auto image = image_obj.mutable_unchecked<2>();
 
-    Py_RETURN_NONE;
+    self->draw_text_image(gc, image, x, y, angle);
 }
 
-static PyObject *
-PyRendererAgg_draw_gouraud_triangles(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    GCAgg gc;
-    numpy::array_view<const double, 3> points;
-    numpy::array_view<const double, 3> colors;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&|O:draw_gouraud_triangles",
-                          &convert_gcagg,
-                          &gc,
-                          &points.converter,
-                          &points,
-                          &colors.converter,
-                          &colors,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
+static void
+PyRendererAgg_draw_markers(RendererAgg *self,
+                           GCAgg &gc,
+                           mpl::PathIterator marker_path,
+                           agg::trans_affine marker_path_trans,
+                           mpl::PathIterator path,
+                           agg::trans_affine trans,
+                           py::object rgbFace)
+{
+    agg::rgba face = rgbFace.cast<agg::rgba>();
+    if (!rgbFace.is_none()) {
+        if (gc.forced_alpha || rgbFace.cast<py::sequence>().size() == 3) {
+            face.a = gc.alpha;
+        }
     }
 
-    CALL_CPP("draw_gouraud_triangles", self->x->draw_gouraud_triangles(gc, points, colors, trans));
-
-    Py_RETURN_NONE;
+    self->draw_markers(gc, marker_path, marker_path_trans, path, trans, face);
 }
 
-static PyObject *PyRendererAgg_tostring_rgb(PyRendererAgg *self, PyObject *args, PyObject *kwds)
+static void
+PyRendererAgg_draw_image(RendererAgg *self,
+                         GCAgg &gc,
+                         double x,
+                         double y,
+                         py::array_t<agg::int8u, py::array::c_style | py::array::forcecast> image_obj)
 {
-    PyObject *buffobj = NULL;
-
-    buffobj = PyBytes_FromStringAndSize(NULL, self->x->get_width() * self->x->get_height() * 3);
-    if (buffobj == NULL) {
-        return NULL;
-    }
+    // TODO: This really shouldn't be mutable, but Agg's renderer buffers aren't const.
+    auto image = image_obj.mutable_unchecked<3>();
 
-    CALL_CPP_CLEANUP("tostring_rgb",
-                     (self->x->tostring_rgb((uint8_t *)PyBytes_AS_STRING(buffobj))),
-                     Py_DECREF(buffobj));
+    x = mpl_round(x);
+    y = mpl_round(y);
 
-    return buffobj;
+    gc.alpha = 1.0;
+    self->draw_image(gc, x, y, image);
 }
 
-static PyObject *PyRendererAgg_tostring_argb(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *buffobj = NULL;
-
-    buffobj = PyBytes_FromStringAndSize(NULL, self->x->get_width() * self->x->get_height() * 4);
-    if (buffobj == NULL) {
-        return NULL;
-    }
-
-    CALL_CPP_CLEANUP("tostring_argb",
-                     (self->x->tostring_argb((uint8_t *)PyBytes_AS_STRING(buffobj))),
-                     Py_DECREF(buffobj));
-
-    return buffobj;
+static void
+PyRendererAgg_draw_path_collection(RendererAgg *self,
+                                   GCAgg &gc,
+                                   agg::trans_affine master_transform,
+                                   mpl::PathGenerator paths,
+                                   py::array_t<double> transforms_obj,
+                                   py::array_t<double> offsets_obj,
+                                   agg::trans_affine offset_trans,
+                                   py::array_t<double> facecolors_obj,
+                                   py::array_t<double> edgecolors_obj,
+                                   py::array_t<double> linewidths_obj,
+                                   DashesVector dashes,
+                                   py::array_t<uint8_t> antialiaseds_obj,
+                                   py::object Py_UNUSED(ignored_obj),
+                                   // offset position is no longer used
+                                   py::object Py_UNUSED(offset_position_obj),
+                                   py::array_t<double> hatchcolors_obj)
+{
+    auto transforms = convert_transforms(transforms_obj);
+    auto offsets = convert_points(offsets_obj);
+    auto facecolors = convert_colors(facecolors_obj);
+    auto edgecolors = convert_colors(edgecolors_obj);
+    auto hatchcolors = convert_colors(hatchcolors_obj);
+    auto linewidths = linewidths_obj.unchecked<1>();
+    auto antialiaseds = antialiaseds_obj.unchecked<1>();
+
+    self->draw_path_collection(gc,
+            master_transform,
+            paths,
+            transforms,
+            offsets,
+            offset_trans,
+            facecolors,
+            edgecolors,
+            linewidths,
+            dashes,
+            antialiaseds,
+            hatchcolors);
 }
 
-static PyObject *PyRendererAgg_tostring_bgra(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *buffobj = NULL;
-
-    buffobj = PyBytes_FromStringAndSize(NULL, self->x->get_width() * self->x->get_height() * 4);
-    if (buffobj == NULL) {
-        return NULL;
-    }
-
-    CALL_CPP_CLEANUP("to_string_bgra",
-                     (self->x->tostring_bgra((uint8_t *)PyBytes_AS_STRING(buffobj))),
-                     Py_DECREF(buffobj));
-
-    return buffobj;
+static void
+PyRendererAgg_draw_quad_mesh(RendererAgg *self,
+                             GCAgg &gc,
+                             agg::trans_affine master_transform,
+                             unsigned int mesh_width,
+                             unsigned int mesh_height,
+                             py::array_t<double, py::array::c_style | py::array::forcecast> coordinates_obj,
+                             py::array_t<double> offsets_obj,
+                             agg::trans_affine offset_trans,
+                             py::array_t<double> facecolors_obj,
+                             bool antialiased,
+                             py::array_t<double> edgecolors_obj)
+{
+    auto coordinates = coordinates_obj.mutable_unchecked<3>();
+    auto offsets = convert_points(offsets_obj);
+    auto facecolors = convert_colors(facecolors_obj);
+    auto edgecolors = convert_colors(edgecolors_obj);
+
+    self->draw_quad_mesh(gc,
+            master_transform,
+            mesh_width,
+            mesh_height,
+            coordinates,
+            offsets,
+            offset_trans,
+            facecolors,
+            antialiased,
+            edgecolors);
 }
 
-static PyObject *
-PyRendererAgg_get_content_extents(PyRendererAgg *self, PyObject *args, PyObject *kwds)
+static void
+PyRendererAgg_draw_gouraud_triangles(RendererAgg *self,
+                                     GCAgg &gc,
+                                     py::array_t<double> points_obj,
+                                     py::array_t<double> colors_obj,
+                                     agg::trans_affine trans)
 {
-    agg::rect_i extents;
-
-    CALL_CPP("get_content_extents", (extents = self->x->get_content_extents()));
-
-    return Py_BuildValue(
-        "iiii", extents.x1, extents.y1, extents.x2 - extents.x1, extents.y2 - extents.y1);
-}
+    auto points = points_obj.unchecked<3>();
+    auto colors = colors_obj.unchecked<3>();
 
-static PyObject *PyRendererAgg_buffer_rgba(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-#if PY3K
-    return PyBytes_FromStringAndSize((const char *)self->x->pixBuffer,
-                                     self->x->get_width() * self->x->get_height() * 4);
-#else
-    return PyBuffer_FromReadWriteMemory(self->x->pixBuffer,
-                                        self->x->get_width() * self->x->get_height() * 4);
-#endif
+    self->draw_gouraud_triangles(gc, points, colors, trans);
 }
 
-int PyRendererAgg_get_buffer(PyRendererAgg *self, Py_buffer *buf, int flags)
-{
-    Py_INCREF(self);
-    buf->obj = (PyObject *)self;
-    buf->buf = self->x->pixBuffer;
-    buf->len = self->x->get_width() * self->x->get_height() * 4;
-    buf->readonly = 0;
-    buf->format = (char *)"B";
-    buf->ndim = 3;
-    self->shape[0] = self->x->get_height();
-    self->shape[1] = self->x->get_width();
-    self->shape[2] = 4;
-    buf->shape = self->shape;
-    self->strides[0] = self->x->get_width() * 4;
-    self->strides[1] = 4;
-    self->strides[2] = 1;
-    buf->strides = self->strides;
-    buf->suboffsets = NULL;
-    buf->itemsize = 1;
-    buf->internal = NULL;
-
-    return 1;
+PYBIND11_MODULE(_backend_agg, m, py::mod_gil_not_used())
+{
+    py::class_<RendererAgg>(m, "RendererAgg", py::buffer_protocol())
+        .def(py::init<unsigned int, unsigned int, double>(),
+             "width"_a, "height"_a, "dpi"_a)
+
+        .def("draw_path", &PyRendererAgg_draw_path,
+             "gc"_a, "path"_a, "trans"_a, "face"_a = nullptr)
+        .def("draw_markers", &PyRendererAgg_draw_markers,
+             "gc"_a, "marker_path"_a, "marker_path_trans"_a, "path"_a, "trans"_a,
+             "face"_a = nullptr)
+        .def("draw_text_image", &PyRendererAgg_draw_text_image,
+             "image"_a, "x"_a, "y"_a, "angle"_a, "gc"_a)
+        .def("draw_image", &PyRendererAgg_draw_image,
+             "gc"_a, "x"_a, "y"_a, "image"_a)
+        .def("draw_path_collection", &PyRendererAgg_draw_path_collection,
+             "gc"_a, "master_transform"_a, "paths"_a, "transforms"_a, "offsets"_a,
+             "offset_trans"_a, "facecolors"_a, "edgecolors"_a, "linewidths"_a,
+             "dashes"_a, "antialiaseds"_a, "ignored"_a, "offset_position"_a,
+             py::kw_only(), "hatchcolors"_a = py::array_t<double>().reshape({0, 4}))
+        .def("draw_quad_mesh", &PyRendererAgg_draw_quad_mesh,
+             "gc"_a, "master_transform"_a, "mesh_width"_a, "mesh_height"_a,
+             "coordinates"_a, "offsets"_a, "offset_trans"_a, "facecolors"_a,
+             "antialiased"_a, "edgecolors"_a)
+        .def("draw_gouraud_triangles", &PyRendererAgg_draw_gouraud_triangles,
+             "gc"_a, "points"_a, "colors"_a, "trans"_a = nullptr)
+
+        .def("clear", &RendererAgg::clear)
+
+        .def("copy_from_bbox", &RendererAgg::copy_from_bbox,
+             "bbox"_a)
+        .def("restore_region",
+             py::overload_cast<BufferRegion&>(&RendererAgg::restore_region),
+             "region"_a)
+        .def("restore_region",
+             py::overload_cast<BufferRegion&, int, int, int, int, int, int>(&RendererAgg::restore_region),
+             "region"_a, "xx1"_a, "yy1"_a, "xx2"_a, "yy2"_a, "x"_a, "y"_a)
+
+        .def_buffer([](RendererAgg *renderer) -> py::buffer_info {
+            std::vector<py::ssize_t> shape {
+                renderer->get_height(),
+                renderer->get_width(),
+                4
+            };
+            std::vector<py::ssize_t> strides {
+                renderer->get_width() * 4,
+                4,
+                1
+            };
+            return py::buffer_info(renderer->pixBuffer, shape, strides);
+        });
+
+    py::class_<BufferRegion>(m, "BufferRegion", py::buffer_protocol())
+        // BufferRegion is not constructible from Python, thus no py::init is added.
+        .def("set_x", &PyBufferRegion_set_x)
+        .def("set_y", &PyBufferRegion_set_y)
+        .def("get_extents", &PyBufferRegion_get_extents)
+        .def_buffer([](BufferRegion *buffer) -> py::buffer_info {
+            std::vector<py::ssize_t> shape {
+                buffer->get_height(),
+                buffer->get_width(),
+                4
+            };
+            std::vector<py::ssize_t> strides {
+                buffer->get_width() * 4,
+                4,
+                1
+            };
+            return py::buffer_info(buffer->get_data(), shape, strides);
+        });
 }
-
-static PyObject *PyRendererAgg_clear(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    CALL_CPP("clear", self->x->clear());
-
-    Py_RETURN_NONE;
-}
-
-static PyObject *PyRendererAgg_copy_from_bbox(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    agg::rect_d bbox;
-    BufferRegion *reg;
-    PyObject *regobj;
-
-    if (!PyArg_ParseTuple(args, "O&:copy_from_bbox", &convert_rect, &bbox)) {
-        return 0;
-    }
-
-    CALL_CPP("copy_from_bbox", (reg = self->x->copy_from_bbox(bbox)));
-
-    regobj = PyBufferRegion_new(&PyBufferRegionType, NULL, NULL);
-    ((PyBufferRegion *)regobj)->x = reg;
-
-    return regobj;
-}
-
-static PyObject *PyRendererAgg_restore_region(PyRendererAgg *self, PyObject *args, PyObject *kwds)
-{
-    PyBufferRegion *regobj;
-    int xx1 = 0, yy1 = 0, xx2 = 0, yy2 = 0, x = 0, y = 0;
-
-    if (!PyArg_ParseTuple(args,
-                          "O!|iiiiii:restore_region",
-                          &PyBufferRegionType,
-                          &regobj,
-                          &xx1,
-                          &yy1,
-                          &xx2,
-                          &yy2,
-                          &x,
-                          &y)) {
-        return 0;
-    }
-
-    if (PySequence_Size(args) == 1) {
-        CALL_CPP("restore_region", (self->x->restore_region(*(regobj->x))));
-    } else {
-        CALL_CPP("restore_region", self->x->restore_region(*(regobj->x), xx1, yy1, xx2, yy2, x, y));
-    }
-
-    Py_RETURN_NONE;
-}
-
-PyTypeObject PyRendererAggType;
-
-static PyTypeObject *PyRendererAgg_init_type(PyObject *m, PyTypeObject *type)
-{
-    static PyMethodDef methods[] = {
-        {"draw_path", (PyCFunction)PyRendererAgg_draw_path, METH_VARARGS, NULL},
-        {"draw_markers", (PyCFunction)PyRendererAgg_draw_markers, METH_VARARGS, NULL},
-        {"draw_text_image", (PyCFunction)PyRendererAgg_draw_text_image, METH_VARARGS, NULL},
-        {"draw_image", (PyCFunction)PyRendererAgg_draw_image, METH_VARARGS, NULL},
-        {"draw_path_collection", (PyCFunction)PyRendererAgg_draw_path_collection, METH_VARARGS, NULL},
-        {"draw_quad_mesh", (PyCFunction)PyRendererAgg_draw_quad_mesh, METH_VARARGS, NULL},
-        {"draw_gouraud_triangle", (PyCFunction)PyRendererAgg_draw_gouraud_triangle, METH_VARARGS, NULL},
-        {"draw_gouraud_triangles", (PyCFunction)PyRendererAgg_draw_gouraud_triangles, METH_VARARGS, NULL},
-
-        {"tostring_rgb", (PyCFunction)PyRendererAgg_tostring_rgb, METH_NOARGS, NULL},
-        {"tostring_argb", (PyCFunction)PyRendererAgg_tostring_argb, METH_NOARGS, NULL},
-        {"tostring_bgra", (PyCFunction)PyRendererAgg_tostring_bgra, METH_NOARGS, NULL},
-        {"get_content_extents", (PyCFunction)PyRendererAgg_get_content_extents, METH_NOARGS, NULL},
-        {"buffer_rgba", (PyCFunction)PyRendererAgg_buffer_rgba, METH_NOARGS, NULL},
-        {"clear", (PyCFunction)PyRendererAgg_clear, METH_NOARGS, NULL},
-
-        {"copy_from_bbox", (PyCFunction)PyRendererAgg_copy_from_bbox, METH_VARARGS, NULL},
-        {"restore_region", (PyCFunction)PyRendererAgg_restore_region, METH_VARARGS, NULL},
-        {NULL}
-    };
-
-    static PyBufferProcs buffer_procs;
-    memset(&buffer_procs, 0, sizeof(PyBufferProcs));
-    buffer_procs.bf_getbuffer = (getbufferproc)PyRendererAgg_get_buffer;
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib.backends._backend_agg.RendererAgg";
-    type->tp_basicsize = sizeof(PyRendererAgg);
-    type->tp_dealloc = (destructor)PyRendererAgg_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;
-    type->tp_methods = methods;
-    type->tp_init = (initproc)PyRendererAgg_init;
-    type->tp_new = PyRendererAgg_new;
-    type->tp_as_buffer = &buffer_procs;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    if (PyModule_AddObject(m, "RendererAgg", (PyObject *)type)) {
-        return NULL;
-    }
-
-    return type;
-}
-
-extern "C" {
-
-struct module_state
-{
-    int _dummy;
-};
-
-#if PY3K
-static struct PyModuleDef moduledef = {
-    PyModuleDef_HEAD_INIT,
-    "_backend_agg",
-    NULL,
-    sizeof(struct module_state),
-    NULL,
-    NULL,
-    NULL,
-    NULL,
-    NULL
-};
-
-#define INITERROR return NULL
-
-PyMODINIT_FUNC PyInit__backend_agg(void)
-
-#else
-#define INITERROR return
-
-PyMODINIT_FUNC init_backend_agg(void)
-#endif
-
-{
-    PyObject *m;
-
-#if PY3K
-    m = PyModule_Create(&moduledef);
-#else
-    m = Py_InitModule3("_backend_agg", NULL, NULL);
-#endif
-
-    if (m == NULL) {
-        INITERROR;
-    }
-
-    import_array();
-
-    if (!PyRendererAgg_init_type(m, &PyRendererAggType)) {
-        INITERROR;
-    }
-
-    if (!PyBufferRegion_init_type(m, &PyBufferRegionType)) {
-        INITERROR;
-    }
-
-#if PY3K
-    return m;
-#endif
-}
-
-} // extern "C"
diff --git a/src/_backend_gdk.c b/src/_backend_gdk.c
deleted file mode 100644
index 5f9388e9f1e7..000000000000
--- a/src/_backend_gdk.c
+++ /dev/null
@@ -1,73 +0,0 @@
-/* -*- mode: C; c-basic-offset: 4 -*-
- * C extensions for backend_gdk
- */
-
-#include "Python.h"
-#include "numpy/arrayobject.h"
-
-#include <pygtk/pygtk.h>
-
-// support numpy 1.6 - this macro was renamed and deprecated at once in 1.7
-#ifndef NPY_ARRAY_WRITEABLE
-#define NPY_ARRAY_WRITEABLE NPY_WRITEABLE
-#endif
-
-static PyTypeObject *_PyGdkPixbuf_Type;
-#define PyGdkPixbuf_Type (*_PyGdkPixbuf_Type)
-
-static PyObject *pixbuf_get_pixels_array(PyObject *self, PyObject *args)
-{
-    /* 1) read in Python pixbuf, get the underlying gdk_pixbuf */
-    PyGObject *py_pixbuf;
-    GdkPixbuf *gdk_pixbuf;
-    PyArrayObject *array;
-    npy_intp dims[3] = { 0, 0, 3 };
-    npy_intp strides[3];
-
-    if (!PyArg_ParseTuple(args, "O!:pixbuf_get_pixels_array", &PyGdkPixbuf_Type, &py_pixbuf))
-        return NULL;
-
-    gdk_pixbuf = GDK_PIXBUF(py_pixbuf->obj);
-
-    /* 2) same as pygtk/gtk/gdk.c _wrap_gdk_pixbuf_get_pixels_array()
-     * with 'self' changed to py_pixbuf
-     */
-
-    dims[0] = gdk_pixbuf_get_height(gdk_pixbuf);
-    dims[1] = gdk_pixbuf_get_width(gdk_pixbuf);
-    if (gdk_pixbuf_get_has_alpha(gdk_pixbuf))
-        dims[2] = 4;
-
-    strides[0] = gdk_pixbuf_get_rowstride(gdk_pixbuf);
-    strides[1] = dims[2];
-    strides[2] = 1;
-
-    array = (PyArrayObject*)
-        PyArray_New(&PyArray_Type, 3, dims, NPY_UBYTE, strides,
-                    (void*)gdk_pixbuf_get_pixels(gdk_pixbuf), 1,
-                    NPY_ARRAY_WRITEABLE, NULL);
-
-    if (array == NULL)
-        return NULL;
-
-    /* the array holds a ref to the pixbuf pixels through this wrapper*/
-    Py_INCREF(py_pixbuf);
-    PyArray_SetBaseObject(array, (PyObject *)py_pixbuf);
-    return PyArray_Return(array);
-}
-
-static PyMethodDef _backend_gdk_functions[] = {
-    { "pixbuf_get_pixels_array", (PyCFunction)pixbuf_get_pixels_array, METH_VARARGS },
-    { NULL, NULL, 0 }
-};
-
-PyMODINIT_FUNC init_backend_gdk(void)
-{
-    PyObject *mod;
-    mod = Py_InitModule("matplotlib.backends._backend_gdk", _backend_gdk_functions);
-    import_array();
-    init_pygtk();
-
-    mod = PyImport_ImportModule("gtk.gdk");
-    _PyGdkPixbuf_Type = (PyTypeObject *)PyObject_GetAttrString(mod, "Pixbuf");
-}
diff --git a/src/_c_internal_utils.cpp b/src/_c_internal_utils.cpp
new file mode 100644
index 000000000000..0dddefaf32e3
--- /dev/null
+++ b/src/_c_internal_utils.cpp
@@ -0,0 +1,255 @@
+#include <Python.h>
+/* Python.h must be included before any system headers,
+    to ensure visibility macros are properly set. */
+#include <stdexcept>
+
+#ifdef _WIN32
+#define WIN32_LEAN_AND_MEAN
+// Windows 10, for latest HiDPI API support.
+#define WINVER 0x0A00
+#if defined(_WIN32_WINNT)
+#if _WIN32_WINNT < WINVER
+#undef _WIN32_WINNT
+#define _WIN32_WINNT WINVER
+#endif
+#else
+#define _WIN32_WINNT WINVER
+#endif
+#endif
+#include <pybind11/pybind11.h>
+#ifdef __linux__
+#include <dlfcn.h>
+#endif
+#ifdef _WIN32
+#include <Objbase.h>
+#include <Shobjidl.h>
+#include <Windows.h>
+#define UNUSED_ON_NON_WINDOWS(x) x
+#else
+#define UNUSED_ON_NON_WINDOWS Py_UNUSED
+#endif
+
+namespace py = pybind11;
+using namespace pybind11::literals;
+
+static bool
+mpl_xdisplay_is_valid(void)
+{
+#ifdef __linux__
+    void* libX11;
+    // The getenv check is redundant but helps performance as it is much faster
+    // than dlopen().
+    if (getenv("DISPLAY")
+        && (libX11 = dlopen("libX11.so.6", RTLD_LAZY))) {
+        typedef struct Display* (*XOpenDisplay_t)(char const*);
+        typedef int (*XCloseDisplay_t)(struct Display*);
+        struct Display* display = nullptr;
+        XOpenDisplay_t XOpenDisplay = (XOpenDisplay_t)dlsym(libX11, "XOpenDisplay");
+        XCloseDisplay_t XCloseDisplay = (XCloseDisplay_t)dlsym(libX11, "XCloseDisplay");
+        if (XOpenDisplay && XCloseDisplay
+                && (display = XOpenDisplay(nullptr))) {
+            XCloseDisplay(display);
+        }
+        if (dlclose(libX11)) {
+            throw std::runtime_error(dlerror());
+        }
+        if (display) {
+            return true;
+        }
+    }
+    return false;
+#else
+    return true;
+#endif
+}
+
+static bool
+mpl_display_is_valid(void)
+{
+#ifdef __linux__
+    if (mpl_xdisplay_is_valid()) {
+        return true;
+    }
+    void* libwayland_client;
+    if (getenv("WAYLAND_DISPLAY")
+        && (libwayland_client = dlopen("libwayland-client.so.0", RTLD_LAZY))) {
+        typedef struct wl_display* (*wl_display_connect_t)(char const*);
+        typedef void (*wl_display_disconnect_t)(struct wl_display*);
+        struct wl_display* display = nullptr;
+        wl_display_connect_t wl_display_connect =
+            (wl_display_connect_t)dlsym(libwayland_client, "wl_display_connect");
+        wl_display_disconnect_t wl_display_disconnect =
+            (wl_display_disconnect_t)dlsym(libwayland_client, "wl_display_disconnect");
+        if (wl_display_connect && wl_display_disconnect
+                && (display = wl_display_connect(nullptr))) {
+            wl_display_disconnect(display);
+        }
+        if (dlclose(libwayland_client)) {
+            throw std::runtime_error(dlerror());
+        }
+        if (display) {
+            return true;
+        }
+    }
+    return false;
+#else
+    return true;
+#endif
+}
+
+static py::object
+mpl_GetCurrentProcessExplicitAppUserModelID(void)
+{
+#ifdef _WIN32
+    wchar_t* appid = NULL;
+    HRESULT hr = GetCurrentProcessExplicitAppUserModelID(&appid);
+    if (FAILED(hr)) {
+        PyErr_SetFromWindowsErr(hr);
+        throw py::error_already_set();
+    }
+    auto py_appid = py::cast(appid);
+    CoTaskMemFree(appid);
+    return py_appid;
+#else
+    return py::none();
+#endif
+}
+
+static void
+mpl_SetCurrentProcessExplicitAppUserModelID(const wchar_t* UNUSED_ON_NON_WINDOWS(appid))
+{
+#ifdef _WIN32
+    HRESULT hr = SetCurrentProcessExplicitAppUserModelID(appid);
+    if (FAILED(hr)) {
+        PyErr_SetFromWindowsErr(hr);
+        throw py::error_already_set();
+    }
+#endif
+}
+
+static py::object
+mpl_GetForegroundWindow(void)
+{
+#ifdef _WIN32
+  if (HWND hwnd = GetForegroundWindow()) {
+    return py::capsule(hwnd, "HWND");
+  } else {
+    return py::none();
+  }
+#else
+  return py::none();
+#endif
+}
+
+static void
+mpl_SetForegroundWindow(py::capsule UNUSED_ON_NON_WINDOWS(handle_p))
+{
+#ifdef _WIN32
+    if (strcmp(handle_p.name(), "HWND") != 0) {
+        throw std::runtime_error("Handle must be a value returned from Win32_GetForegroundWindow");
+    }
+    HWND handle = static_cast<HWND>(handle_p.get_pointer());
+    if (!SetForegroundWindow(handle)) {
+        throw std::runtime_error("Error setting window");
+    }
+#endif
+}
+
+static void
+mpl_SetProcessDpiAwareness_max(void)
+{
+#ifdef _WIN32
+#ifdef _DPI_AWARENESS_CONTEXTS_
+    // These functions and options were added in later Windows 10 updates, so
+    // must be loaded dynamically.
+    typedef BOOL (WINAPI *IsValidDpiAwarenessContext_t)(DPI_AWARENESS_CONTEXT);
+    typedef BOOL (WINAPI *SetProcessDpiAwarenessContext_t)(DPI_AWARENESS_CONTEXT);
+
+    HMODULE user32 = LoadLibrary("user32.dll");
+    IsValidDpiAwarenessContext_t IsValidDpiAwarenessContextPtr =
+        (IsValidDpiAwarenessContext_t)GetProcAddress(
+            user32, "IsValidDpiAwarenessContext");
+    SetProcessDpiAwarenessContext_t SetProcessDpiAwarenessContextPtr =
+        (SetProcessDpiAwarenessContext_t)GetProcAddress(
+            user32, "SetProcessDpiAwarenessContext");
+    DPI_AWARENESS_CONTEXT ctxs[3] = {
+        DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE_V2,  // Win10 Creators Update
+        DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE,     // Win10
+        DPI_AWARENESS_CONTEXT_SYSTEM_AWARE};         // Win10
+    if (IsValidDpiAwarenessContextPtr != NULL
+            && SetProcessDpiAwarenessContextPtr != NULL) {
+        for (size_t i = 0; i < sizeof(ctxs) / sizeof(DPI_AWARENESS_CONTEXT); ++i) {
+            if (IsValidDpiAwarenessContextPtr(ctxs[i])) {
+                SetProcessDpiAwarenessContextPtr(ctxs[i]);
+                break;
+            }
+        }
+    } else {
+        // Added in Windows Vista.
+        SetProcessDPIAware();
+    }
+    FreeLibrary(user32);
+#else
+    // Added in Windows Vista.
+    SetProcessDPIAware();
+#endif
+#endif
+}
+
+PYBIND11_MODULE(_c_internal_utils, m, py::mod_gil_not_used())
+{
+    m.def(
+        "display_is_valid", &mpl_display_is_valid,
+        R"""(        --
+        Check whether the current X11 or Wayland display is valid.
+
+        On Linux, returns True if either $DISPLAY is set and XOpenDisplay(NULL)
+        succeeds, or $WAYLAND_DISPLAY is set and wl_display_connect(NULL)
+        succeeds.
+
+        On other platforms, always returns True.)""");
+    m.def(
+        "xdisplay_is_valid", &mpl_xdisplay_is_valid,
+        R"""(        --
+        Check whether the current X11 display is valid.
+
+        On Linux, returns True if either $DISPLAY is set and XOpenDisplay(NULL)
+        succeeds. Use this function if you need to specifically check for X11
+        only (e.g., for Tkinter).
+
+        On other platforms, always returns True.)""");
+    m.def(
+        "Win32_GetCurrentProcessExplicitAppUserModelID",
+        &mpl_GetCurrentProcessExplicitAppUserModelID,
+        R"""(        --
+        Wrapper for Windows's GetCurrentProcessExplicitAppUserModelID.
+
+        On non-Windows platforms, always returns None.)""");
+    m.def(
+        "Win32_SetCurrentProcessExplicitAppUserModelID",
+        &mpl_SetCurrentProcessExplicitAppUserModelID,
+        "appid"_a, py::pos_only(),
+        R"""(        --
+        Wrapper for Windows's SetCurrentProcessExplicitAppUserModelID.
+
+        On non-Windows platforms, does nothing.)""");
+    m.def(
+        "Win32_GetForegroundWindow", &mpl_GetForegroundWindow,
+        R"""(        --
+        Wrapper for Windows' GetForegroundWindow.
+
+        On non-Windows platforms, always returns None.)""");
+    m.def(
+        "Win32_SetForegroundWindow", &mpl_SetForegroundWindow,
+        "hwnd"_a,
+        R"""(        --
+        Wrapper for Windows' SetForegroundWindow.
+
+        On non-Windows platforms, does nothing.)""");
+    m.def(
+        "Win32_SetProcessDpiAwareness_max", &mpl_SetProcessDpiAwareness_max,
+        R"""(        --
+        Set Windows' process DPI awareness to best option available.
+
+        On non-Windows platforms, does nothing.)""");
+}
diff --git a/src/_enums.h b/src/_enums.h
new file mode 100644
index 000000000000..18f3d9aac9fa
--- /dev/null
+++ b/src/_enums.h
@@ -0,0 +1,95 @@
+#ifndef MPL_ENUMS_H
+#define MPL_ENUMS_H
+
+#include <pybind11/pybind11.h>
+
+// Extension for pybind11: Pythonic enums.
+// This allows creating classes based on ``enum.*`` types.
+// This code was copied from mplcairo, with some slight tweaks.
+// The API is:
+//
+// - P11X_DECLARE_ENUM(py_name: str, py_base_cls: str, ...: {str, enum value}):
+//   py_name: The name to expose in the module.
+//   py_base_cls: The name of the enum base class to use.
+//   ...: The enum name/value pairs to expose.
+//
+//   Use this macro to declare an enum and its values.
+//
+// - py11x::bind_enums(m: pybind11::module):
+//   m: The module to use to register the enum classes.
+//
+//   Place this in PYBIND11_MODULE to register the enums declared by P11X_DECLARE_ENUM.
+
+// a1 includes the opening brace and a2 the closing brace.
+// This definition is compatible with older compiler versions compared to
+// #define P11X_ENUM_TYPE(...) decltype(std::map{std::pair __VA_ARGS__})::mapped_type
+#define P11X_ENUM_TYPE(a1, a2, ...) decltype(std::pair a1, a2)::second_type
+
+#define P11X_CAT2(a, b) a##b
+#define P11X_CAT(a, b) P11X_CAT2(a, b)
+
+namespace p11x {
+  namespace {
+    namespace py = pybind11;
+
+    // Holder is (py_base_cls, [(name, value), ...]) before module init;
+    // converted to the Python class object after init.
+    auto enums = std::unordered_map<std::string, py::object>{};
+
+    auto bind_enums(py::module mod) -> void
+    {
+      for (auto& [py_name, spec]: enums) {
+        auto const& [py_base_cls, pairs] =
+          spec.cast<std::pair<std::string, py::object>>();
+        mod.attr(py::cast(py_name)) = spec =
+          py::module::import("enum").attr(py_base_cls.c_str())(
+            py_name, pairs, py::arg("module") = mod.attr("__name__"));
+      }
+    }
+  }
+}
+
+// Immediately converting the args to a vector outside of the lambda avoids
+// name collisions.
+#define P11X_DECLARE_ENUM(py_name, py_base_cls, ...) \
+  namespace p11x { \
+    namespace { \
+      [[maybe_unused]] auto const P11X_CAT(enum_placeholder_, __COUNTER__) = \
+        [](auto args) { \
+          py::gil_scoped_acquire gil; \
+          using int_t = std::underlying_type_t<decltype(args[0].second)>; \
+          auto pairs = std::vector<std::pair<std::string, int_t>>{}; \
+          for (auto& [k, v]: args) { \
+            pairs.emplace_back(k, int_t(v)); \
+          } \
+          p11x::enums[py_name] = pybind11::cast(std::pair{py_base_cls, pairs}); \
+          return 0; \
+        } (std::vector{std::pair __VA_ARGS__}); \
+    } \
+  } \
+  namespace pybind11::detail { \
+    template<> struct type_caster<P11X_ENUM_TYPE(__VA_ARGS__)> { \
+      using type = P11X_ENUM_TYPE(__VA_ARGS__); \
+      static_assert(std::is_enum_v<type>, "Not an enum"); \
+      PYBIND11_TYPE_CASTER(type, _(py_name)); \
+      bool load(handle src, bool) { \
+        auto cls = p11x::enums.at(py_name); \
+        PyObject* tmp = nullptr; \
+        if (pybind11::isinstance(src, cls) \
+            && (tmp = PyNumber_Index(src.attr("value").ptr()))) { \
+          auto ival = PyLong_AsLong(tmp); \
+          value = decltype(value)(ival); \
+          Py_DECREF(tmp); \
+          return !(ival == -1 && !PyErr_Occurred()); \
+        } else { \
+          return false; \
+        } \
+      } \
+      static handle cast(decltype(value) obj, return_value_policy, handle) { \
+        auto cls = p11x::enums.at(py_name); \
+        return cls(std::underlying_type_t<type>(obj)).inc_ref(); \
+      } \
+    }; \
+  }
+
+#endif /* MPL_ENUMS_H */
diff --git a/src/_gtkagg.cpp b/src/_gtkagg.cpp
deleted file mode 100644
index 9e3dcf13652f..000000000000
--- a/src/_gtkagg.cpp
+++ /dev/null
@@ -1,160 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#include <vector>
-
-#include <pygobject.h>
-#include <pygtk/pygtk.h>
-
-#include "agg_basics.h"
-#include "agg_pixfmt_rgba.h"
-#include "agg_renderer_base.h"
-#include "agg_rendering_buffer.h"
-
-#include "numpy_cpp.h"
-#include "py_converters.h"
-
-static PyObject *Py_agg_to_gtk_drawable(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    typedef agg::pixfmt_rgba32_plain pixfmt;
-    typedef agg::renderer_base<pixfmt> renderer_base;
-
-    PyGObject *py_drawable;
-    numpy::array_view<agg::int8u, 3> buffer;
-    agg::rect_d rect;
-
-    // args are gc, renderer, bbox where bbox is a transforms BBox
-    // (possibly None).  If bbox is None, blit the entire agg buffer
-    // to gtk.  If bbox is not None, blit only the region defined by
-    // the bbox
-
-    if (!PyArg_ParseTuple(args,
-                          "OO&O&:agg_to_gtk_drawable",
-                          &py_drawable,
-                          &buffer.converter,
-                          &buffer,
-                          &convert_rect,
-                          &rect)) {
-        return NULL;
-    }
-
-    if (buffer.dim(2) != 4) {
-        PyErr_SetString(PyExc_ValueError, "Invalid image buffer.  Must be NxMx4.");
-        return NULL;
-    }
-
-    GdkDrawable *drawable = GDK_DRAWABLE(py_drawable->obj);
-    GdkGC *gc = gdk_gc_new(drawable);
-
-    int srcstride = buffer.dim(1) * 4;
-    int srcwidth = buffer.dim(1);
-    int srcheight = buffer.dim(0);
-
-    // these three will be overridden below
-    int destx = 0;
-    int desty = 0;
-    int destwidth = 1;
-    int destheight = 1;
-    int deststride = 1;
-
-    std::vector<agg::int8u> destbuffer;
-    agg::int8u *destbufferptr;
-
-    if (rect.x1 == 0.0 && rect.x2 == 0.0 && rect.y1 == 0.0 && rect.y2 == 0.0) {
-        // bbox is None; copy the entire image
-        destbufferptr = (agg::int8u *)buffer.data();
-        destwidth = srcwidth;
-        destheight = srcheight;
-        deststride = srcstride;
-    } else {
-        destx = (int)rect.x1;
-        desty = srcheight - (int)rect.y2;
-        destwidth = (int)(rect.x2 - rect.x1);
-        destheight = (int)(rect.y2 - rect.y1);
-        deststride = destwidth * 4;
-        destbuffer.reserve(destheight * deststride);
-        destbufferptr = &destbuffer[0];
-
-        agg::rendering_buffer destrbuf;
-        destrbuf.attach(destbufferptr, destwidth, destheight, deststride);
-        pixfmt destpf(destrbuf);
-        renderer_base destrb(destpf);
-
-        agg::rendering_buffer srcrbuf;
-        srcrbuf.attach((agg::int8u *)buffer.data(), buffer.dim(1), buffer.dim(0), buffer.dim(1) * 4);
-
-        agg::rect_base<int> region(destx, desty, (int)rect.x2, srcheight - (int)rect.y1);
-        destrb.copy_from(srcrbuf, &region, -destx, -desty);
-    }
-
-    gdk_draw_rgb_32_image(drawable,
-                          gc,
-                          destx,
-                          desty,
-                          destwidth,
-                          destheight,
-                          GDK_RGB_DITHER_NORMAL,
-                          destbufferptr,
-                          deststride);
-
-    gdk_gc_destroy(gc);
-
-    Py_RETURN_NONE;
-}
-
-static PyMethodDef module_methods[] = {
-    {"agg_to_gtk_drawable", (PyCFunction)Py_agg_to_gtk_drawable, METH_VARARGS, NULL},
-    NULL
-};
-
-extern "C" {
-
-    struct module_state
-    {
-        int _dummy;
-    };
-
-#if PY3K
-    static struct PyModuleDef moduledef = {
-        PyModuleDef_HEAD_INIT,
-        "_gtkagg",
-        NULL,
-        sizeof(struct module_state),
-        module_methods,
-        NULL,
-        NULL,
-        NULL,
-        NULL
-    };
-
-#define INITERROR return NULL
-
-    PyMODINIT_FUNC PyInit__gtkagg(void)
-
-#else
-#define INITERROR return
-
-    PyMODINIT_FUNC init_gtkagg(void)
-#endif
-
-    {
-        PyObject *m;
-
-#if PY3K
-        m = PyModule_Create(&moduledef);
-#else
-        m = Py_InitModule3("_gtkagg", module_methods, NULL);
-#endif
-
-        if (m == NULL) {
-            INITERROR;
-        }
-
-        init_pygobject();
-        init_pygtk();
-        import_array();
-
-#if PY3K
-        return m;
-#endif
-    }
-}
diff --git a/src/_image.cpp b/src/_image.cpp
deleted file mode 100644
index 48a8dfe4cda2..000000000000
--- a/src/_image.cpp
+++ /dev/null
@@ -1,556 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#define NO_IMPORT_ARRAY
-
-#include <vector>
-
-#include "agg_color_rgba.h"
-#include "agg_conv_transform.h"
-#include "agg_image_accessors.h"
-#include "agg_path_storage.h"
-#include "agg_pixfmt_rgb.h"
-#include "agg_pixfmt_rgba.h"
-#include "agg_rasterizer_scanline_aa.h"
-#include "agg_rasterizer_sl_clip.h"
-#include "agg_renderer_scanline.h"
-#include "agg_rendering_buffer.h"
-#include "agg_scanline_bin.h"
-#include "agg_scanline_bin.h"
-#include "agg_scanline_u.h"
-#include "agg_span_allocator.h"
-#include "agg_span_image_filter_rgb.h"
-#include "agg_span_image_filter_rgba.h"
-#include "agg_span_interpolator_linear.h"
-#include "util/agg_color_conv_rgb8.h"
-
-#include "_image.h"
-#include "mplutils.h"
-#include "agg_workaround.h"
-
-typedef fixed_blender_rgba_plain<agg::rgba8, agg::order_rgba> fixed_blender_rgba32_plain;
-typedef agg::pixfmt_alpha_blend_rgba<fixed_blender_rgba32_plain, agg::rendering_buffer> pixfmt;
-typedef fixed_blender_rgba_pre<agg::rgba8, agg::order_rgba> fixed_blender_rgba32_pre;
-typedef agg::pixfmt_alpha_blend_rgba<fixed_blender_rgba32_pre, agg::rendering_buffer> pixfmt_pre;
-typedef agg::renderer_base<pixfmt> renderer_base;
-typedef agg::span_interpolator_linear<> interpolator_type;
-typedef agg::rasterizer_scanline_aa<agg::rasterizer_sl_clip_dbl> rasterizer;
-
-Image::Image()
-    : bufferIn(NULL),
-      rbufIn(NULL),
-      colsIn(0),
-      rowsIn(0),
-      bufferOut(NULL),
-      rbufOut(NULL),
-      colsOut(0),
-      rowsOut(0),
-      BPP(4),
-      interpolation(BILINEAR),
-      aspect(ASPECT_FREE),
-      bg(1, 1, 1, 0),
-      resample(true)
-{
-
-}
-
-Image::Image(unsigned numrows, unsigned numcols, bool isoutput)
-    : bufferIn(NULL),
-      rbufIn(NULL),
-      colsIn(0),
-      rowsIn(0),
-      bufferOut(NULL),
-      rbufOut(NULL),
-      colsOut(0),
-      rowsOut(0),
-      BPP(4),
-      interpolation(BILINEAR),
-      aspect(ASPECT_FREE),
-      bg(1, 1, 1, 0),
-      resample(true)
-{
-    if (isoutput) {
-        rowsOut = numrows;
-        colsOut = numcols;
-        unsigned NUMBYTES(numrows * numcols * BPP);
-        bufferOut = new agg::int8u[NUMBYTES];
-        rbufOut = new agg::rendering_buffer;
-        rbufOut->attach(bufferOut, colsOut, rowsOut, colsOut * BPP);
-    } else {
-        rowsIn = numrows;
-        colsIn = numcols;
-        unsigned NUMBYTES(numrows * numcols * BPP);
-        bufferIn = new agg::int8u[NUMBYTES];
-        rbufIn = new agg::rendering_buffer;
-        rbufIn->attach(bufferIn, colsIn, rowsIn, colsIn * BPP);
-    }
-}
-
-Image::~Image()
-{
-    delete[] bufferIn;
-    bufferIn = NULL;
-    delete rbufIn;
-    rbufIn = NULL;
-    delete rbufOut;
-    rbufOut = NULL;
-    delete[] bufferOut;
-    bufferOut = NULL;
-}
-
-void Image::apply_rotation(double r)
-{
-    agg::trans_affine M = agg::trans_affine_rotation(r * agg::pi / 180.0);
-    srcMatrix *= M;
-    imageMatrix *= M;
-}
-
-void Image::set_bg(double r, double g, double b, double a)
-{
-    bg.r = r;
-    bg.g = g;
-    bg.b = b;
-    bg.a = a;
-}
-
-void Image::apply_scaling(double sx, double sy)
-{
-    agg::trans_affine M = agg::trans_affine_scaling(sx, sy);
-    srcMatrix *= M;
-    imageMatrix *= M;
-}
-
-void Image::apply_translation(double tx, double ty)
-{
-    agg::trans_affine M = agg::trans_affine_translation(tx, ty);
-    srcMatrix *= M;
-    imageMatrix *= M;
-}
-
-void Image::as_rgba_str(agg::int8u *outbuf)
-{
-    agg::rendering_buffer rb;
-    rb.attach(outbuf, colsOut, rowsOut, colsOut * 4);
-    rb.copy_from(*rbufOut);
-}
-
-void Image::color_conv(int format, agg::int8u *outbuf)
-{
-    int row_len = colsOut * 4;
-
-    agg::rendering_buffer rtmp;
-    rtmp.attach(outbuf, colsOut, rowsOut, row_len);
-
-    switch (format) {
-    case 0:
-        agg::color_conv(&rtmp, rbufOut, agg::color_conv_rgba32_to_bgra32());
-        break;
-    case 1:
-        agg::color_conv(&rtmp, rbufOut, agg::color_conv_rgba32_to_argb32());
-        break;
-    default:
-        throw "Image::color_conv unknown format";
-    }
-}
-
-void Image::reset_matrix(void)
-{
-    srcMatrix.reset();
-    imageMatrix.reset();
-}
-
-void Image::resize(int numcols, int numrows, int norm, double radius)
-{
-    if (bufferIn == NULL) {
-        throw "You must first load the image";
-    }
-
-    if (numcols <= 0 || numrows <= 0) {
-        throw "Width and height must have positive values";
-    }
-
-    colsOut = numcols;
-    rowsOut = numrows;
-
-    size_t NUMBYTES(numrows * numcols * BPP);
-
-    delete[] bufferOut;
-    bufferOut = new agg::int8u[NUMBYTES];
-    if (bufferOut == NULL) // todo: also handle allocation throw
-    {
-        throw "Image::resize could not allocate memory";
-    }
-
-    delete rbufOut;
-    rbufOut = new agg::rendering_buffer;
-    rbufOut->attach(bufferOut, numcols, numrows, numcols * BPP);
-
-    // init the output rendering/rasterizing stuff
-    pixfmt pixf(*rbufOut);
-    renderer_base rb(pixf);
-    rb.clear(bg);
-    rasterizer ras;
-    agg::scanline_u8 sl;
-
-    ras.clip_box(0, 0, numcols, numrows);
-
-    imageMatrix.invert();
-    interpolator_type interpolator(imageMatrix);
-
-    typedef agg::span_allocator<agg::rgba8> span_alloc_type;
-    span_alloc_type sa;
-
-    // the image path
-    agg::path_storage path;
-    agg::rendering_buffer rbufPad;
-
-    double x0, y0, x1, y1;
-
-    x0 = 0.0;
-    x1 = colsIn;
-    y0 = 0.0;
-    y1 = rowsIn;
-
-    path.move_to(x0, y0);
-    path.line_to(x1, y0);
-    path.line_to(x1, y1);
-    path.line_to(x0, y1);
-    path.close_polygon();
-    agg::conv_transform<agg::path_storage> imageBox(path, srcMatrix);
-    ras.add_path(imageBox);
-
-    typedef agg::wrap_mode_reflect reflect_type;
-    typedef agg::image_accessor_wrap<pixfmt_pre, reflect_type, reflect_type> img_accessor_type;
-
-    pixfmt_pre pixfmtin(*rbufIn);
-    img_accessor_type ia(pixfmtin);
-    switch (interpolation) {
-
-    case NEAREST: {
-        typedef agg::span_image_filter_rgba_nn<img_accessor_type, interpolator_type> span_gen_type;
-        typedef agg::renderer_scanline_aa<renderer_base, span_alloc_type, span_gen_type>
-        renderer_type;
-        span_gen_type sg(ia, interpolator);
-        renderer_type ri(rb, sa, sg);
-        agg::render_scanlines(ras, sl, ri);
-    } break;
-
-    case HANNING:
-    case HAMMING:
-    case HERMITE: {
-        agg::image_filter_lut filter;
-        switch (interpolation) {
-        case HANNING:
-            filter.calculate(agg::image_filter_hanning(), norm);
-            break;
-        case HAMMING:
-            filter.calculate(agg::image_filter_hamming(), norm);
-            break;
-        case HERMITE:
-            filter.calculate(agg::image_filter_hermite(), norm);
-            break;
-        }
-        if (resample) {
-            typedef agg::span_image_resample_rgba_affine<img_accessor_type> span_gen_type;
-            typedef agg::renderer_scanline_aa<renderer_base, span_alloc_type, span_gen_type>
-            renderer_type;
-            span_gen_type sg(ia, interpolator, filter);
-            renderer_type ri(rb, sa, sg);
-            agg::render_scanlines(ras, sl, ri);
-        } else {
-            typedef agg::span_image_filter_rgba_2x2<img_accessor_type, interpolator_type>
-            span_gen_type;
-            typedef agg::renderer_scanline_aa<renderer_base, span_alloc_type, span_gen_type>
-            renderer_type;
-            span_gen_type sg(ia, interpolator, filter);
-            renderer_type ri(rb, sa, sg);
-            agg::render_scanlines(ras, sl, ri);
-        }
-    } break;
-    case BILINEAR:
-    case BICUBIC:
-    case SPLINE16:
-    case SPLINE36:
-    case KAISER:
-    case QUADRIC:
-    case CATROM:
-    case GAUSSIAN:
-    case BESSEL:
-    case MITCHELL:
-    case SINC:
-    case LANCZOS:
-    case BLACKMAN: {
-        agg::image_filter_lut filter;
-        switch (interpolation) {
-        case BILINEAR:
-            filter.calculate(agg::image_filter_bilinear(), norm);
-            break;
-        case BICUBIC:
-            filter.calculate(agg::image_filter_bicubic(), norm);
-            break;
-        case SPLINE16:
-            filter.calculate(agg::image_filter_spline16(), norm);
-            break;
-        case SPLINE36:
-            filter.calculate(agg::image_filter_spline36(), norm);
-            break;
-        case KAISER:
-            filter.calculate(agg::image_filter_kaiser(), norm);
-            break;
-        case QUADRIC:
-            filter.calculate(agg::image_filter_quadric(), norm);
-            break;
-        case CATROM:
-            filter.calculate(agg::image_filter_catrom(), norm);
-            break;
-        case GAUSSIAN:
-            filter.calculate(agg::image_filter_gaussian(), norm);
-            break;
-        case BESSEL:
-            filter.calculate(agg::image_filter_bessel(), norm);
-            break;
-        case MITCHELL:
-            filter.calculate(agg::image_filter_mitchell(), norm);
-            break;
-        case SINC:
-            filter.calculate(agg::image_filter_sinc(radius), norm);
-            break;
-        case LANCZOS:
-            filter.calculate(agg::image_filter_lanczos(radius), norm);
-            break;
-        case BLACKMAN:
-            filter.calculate(agg::image_filter_blackman(radius), norm);
-            break;
-        }
-        if (resample) {
-            typedef agg::span_image_resample_rgba_affine<img_accessor_type> span_gen_type;
-            typedef agg::renderer_scanline_aa<renderer_base, span_alloc_type, span_gen_type>
-            renderer_type;
-            span_gen_type sg(ia, interpolator, filter);
-            renderer_type ri(rb, sa, sg);
-            agg::render_scanlines(ras, sl, ri);
-        } else {
-            typedef agg::span_image_filter_rgba<img_accessor_type, interpolator_type> span_gen_type;
-            typedef agg::renderer_scanline_aa<renderer_base, span_alloc_type, span_gen_type>
-            renderer_type;
-            span_gen_type sg(ia, interpolator, filter);
-            renderer_type ri(rb, sa, sg);
-            agg::render_scanlines(ras, sl, ri);
-        }
-    } break;
-    }
-}
-
-void Image::clear()
-{
-    pixfmt pixf(*rbufOut);
-    renderer_base rb(pixf);
-    rb.clear(bg);
-}
-
-void Image::blend_image(Image &im, unsigned ox, unsigned oy, bool apply_alpha, float alpha)
-{
-    unsigned thisx = 0, thisy = 0;
-
-    pixfmt pixf(*rbufOut);
-    renderer_base rb(pixf);
-
-    bool isflip = (im.rbufOut->stride()) < 0;
-    size_t ind = 0;
-    for (unsigned j = 0; j < im.rowsOut; j++) {
-        if (isflip) {
-            thisy = im.rowsOut - j + oy;
-        } else {
-            thisy = j + oy;
-        }
-
-        for (unsigned i = 0; i < im.colsOut; i++) {
-            thisx = i + ox;
-
-            if (thisx >= colsOut || thisy >= rowsOut) {
-                ind += 4;
-                continue;
-            }
-
-            pixfmt::color_type p;
-            p.r = *(im.bufferOut + ind++);
-            p.g = *(im.bufferOut + ind++);
-            p.b = *(im.bufferOut + ind++);
-            if (apply_alpha) {
-                p.a = (pixfmt::value_type) * (im.bufferOut + ind++) * alpha;
-            } else {
-                p.a = *(im.bufferOut + ind++);
-            }
-            pixf.blend_pixel(thisx, thisy, p, 255);
-        }
-    }
-}
-
-// utilities for irregular grids
-void _bin_indices_middle(
-    unsigned int *irows, int nrows, const float *ys1, unsigned long ny, float dy, float y_min)
-{
-    int i, j, j_last;
-    unsigned int *rowstart = irows;
-    const float *ys2 = ys1 + 1;
-    const float *yl = ys1 + ny;
-    float yo = y_min + dy / 2.0;
-    float ym = 0.5f * (*ys1 + *ys2);
-    // y/rows
-    j = 0;
-    j_last = j;
-    for (i = 0; i < nrows; i++, yo += dy, rowstart++) {
-        while (ys2 != yl && yo > ym) {
-            ys1 = ys2;
-            ys2 = ys1 + 1;
-            ym = 0.5f * (*ys1 + *ys2);
-            j++;
-        }
-        *rowstart = j - j_last;
-        j_last = j;
-    }
-}
-
-void _bin_indices_middle_linear(float *arows,
-                                unsigned int *irows,
-                                int nrows,
-                                const float *y,
-                                unsigned long ny,
-                                float dy,
-                                float y_min)
-{
-    int i;
-    int ii = 0;
-    int iilast = (int)ny - 1;
-    float sc = 1 / dy;
-    int iy0 = (int)floor(sc * (y[ii] - y_min));
-    int iy1 = (int)floor(sc * (y[ii + 1] - y_min));
-    float invgap = 1.0f / (iy1 - iy0);
-    for (i = 0; i < nrows && i <= iy0; i++) {
-        irows[i] = 0;
-        arows[i] = 1.0;
-    }
-    for (; i < nrows; i++) {
-        while (i > iy1 && ii < iilast) {
-            ii++;
-            iy0 = iy1;
-            iy1 = (int)floor(sc * (y[ii + 1] - y_min));
-            invgap = 1.0f / (iy1 - iy0);
-        }
-        if (i >= iy0 && i <= iy1) {
-            irows[i] = ii;
-            arows[i] = (iy1 - i) * invgap;
-        } else
-            break;
-    }
-    for (; i < nrows; i++) {
-        irows[i] = iilast - 1;
-        arows[i] = 0.0;
-    }
-}
-
-void _bin_indices(int *irows, int nrows, const double *y, unsigned long ny, double sc, double offs)
-{
-    int i;
-    if (sc * (y[ny - 1] - y[0]) > 0) {
-        int ii = 0;
-        int iilast = (int)ny - 1;
-        int iy0 = (int)floor(sc * (y[ii] - offs));
-        int iy1 = (int)floor(sc * (y[ii + 1] - offs));
-        for (i = 0; i < nrows && i < iy0; i++) {
-            irows[i] = -1;
-        }
-        for (; i < nrows; i++) {
-            while (i > iy1 && ii < iilast) {
-                ii++;
-                iy0 = iy1;
-                iy1 = (int)floor(sc * (y[ii + 1] - offs));
-            }
-            if (i >= iy0 && i <= iy1)
-                irows[i] = ii;
-            else
-                break;
-        }
-        for (; i < nrows; i++) {
-            irows[i] = -1;
-        }
-    } else {
-        int iilast = (int)ny - 1;
-        int ii = iilast;
-        int iy0 = (int)floor(sc * (y[ii] - offs));
-        int iy1 = (int)floor(sc * (y[ii - 1] - offs));
-        for (i = 0; i < nrows && i < iy0; i++) {
-            irows[i] = -1;
-        }
-        for (; i < nrows; i++) {
-            while (i > iy1 && ii > 1) {
-                ii--;
-                iy0 = iy1;
-                iy1 = (int)floor(sc * (y[ii - 1] - offs));
-            }
-            if (i >= iy0 && i <= iy1)
-                irows[i] = ii - 1;
-            else
-                break;
-        }
-        for (; i < nrows; i++) {
-            irows[i] = -1;
-        }
-    }
-}
-
-void _bin_indices_linear(
-    float *arows, int *irows, int nrows, double *y, unsigned long ny, double sc, double offs)
-{
-    int i;
-    if (sc * (y[ny - 1] - y[0]) > 0) {
-        int ii = 0;
-        int iilast = (int)ny - 1;
-        int iy0 = (int)floor(sc * (y[ii] - offs));
-        int iy1 = (int)floor(sc * (y[ii + 1] - offs));
-        float invgap = 1.0 / (iy1 - iy0);
-        for (i = 0; i < nrows && i < iy0; i++) {
-            irows[i] = -1;
-        }
-        for (; i < nrows; i++) {
-            while (i > iy1 && ii < iilast) {
-                ii++;
-                iy0 = iy1;
-                iy1 = (int)floor(sc * (y[ii + 1] - offs));
-                invgap = 1.0 / (iy1 - iy0);
-            }
-            if (i >= iy0 && i <= iy1) {
-                irows[i] = ii;
-                arows[i] = (iy1 - i) * invgap;
-            } else
-                break;
-        }
-        for (; i < nrows; i++) {
-            irows[i] = -1;
-        }
-    } else {
-        int iilast = (int)ny - 1;
-        int ii = iilast;
-        int iy0 = (int)floor(sc * (y[ii] - offs));
-        int iy1 = (int)floor(sc * (y[ii - 1] - offs));
-        float invgap = 1.0 / (iy1 - iy0);
-        for (i = 0; i < nrows && i < iy0; i++) {
-            irows[i] = -1;
-        }
-        for (; i < nrows; i++) {
-            while (i > iy1 && ii > 1) {
-                ii--;
-                iy0 = iy1;
-                iy1 = (int)floor(sc * (y[ii - 1] - offs));
-                invgap = 1.0 / (iy1 - iy0);
-            }
-            if (i >= iy0 && i <= iy1) {
-                irows[i] = ii - 1;
-                arows[i] = (i - iy0) * invgap;
-            } else
-                break;
-        }
-        for (; i < nrows; i++) {
-            irows[i] = -1;
-        }
-    }
-}
diff --git a/src/_image.h b/src/_image.h
deleted file mode 100644
index 0385f45fd9aa..000000000000
--- a/src/_image.h
+++ /dev/null
@@ -1,382 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/* image.h
- *
- */
-
-#ifndef _IMAGE_H
-#define _IMAGE_H
-
-#include <vector>
-
-#include "agg_trans_affine.h"
-#include "agg_rendering_buffer.h"
-#include "agg_color_rgba.h"
-
-class Image
-{
-  public:
-    Image();
-    Image(unsigned numrows, unsigned numcols, bool isoutput);
-    virtual ~Image();
-
-    static void init_type(void);
-
-    void apply_rotation(double r);
-    void apply_scaling(double sx, double sy);
-    void apply_translation(double tx, double ty);
-    void as_rgba_str(agg::int8u *outbuf);
-    void color_conv(int format, agg::int8u *outbuf);
-    void reset_matrix();
-    void clear();
-    void resize(int numcols, int numrows, int norm, double radius);
-    void blend_image(Image &im, unsigned ox, unsigned oy, bool apply_alpha, float alpha);
-    void set_bg(double r, double g, double b, double a);
-
-    enum {
-        NEAREST,
-        BILINEAR,
-        BICUBIC,
-        SPLINE16,
-        SPLINE36,
-        HANNING,
-        HAMMING,
-        HERMITE,
-        KAISER,
-        QUADRIC,
-        CATROM,
-        GAUSSIAN,
-        BESSEL,
-        MITCHELL,
-        SINC,
-        LANCZOS,
-        BLACKMAN
-    };
-
-    // enum { BICUBIC=0, BILINEAR, BLACKMAN100, BLACKMAN256, BLACKMAN64,
-    //   NEAREST, SINC144, SINC256, SINC64, SPLINE16, SPLINE36};
-    enum {
-        ASPECT_PRESERVE = 0,
-        ASPECT_FREE
-    };
-
-    agg::int8u *bufferIn;
-    agg::rendering_buffer *rbufIn;
-    unsigned colsIn, rowsIn;
-
-    agg::int8u *bufferOut;
-    agg::rendering_buffer *rbufOut;
-    unsigned colsOut, rowsOut;
-    unsigned BPP;
-
-    unsigned interpolation, aspect;
-    agg::rgba bg;
-    bool resample;
-    agg::trans_affine srcMatrix, imageMatrix;
-
-  private:
-    // prevent copying
-    Image(const Image &);
-    Image &operator=(const Image &);
-};
-
-template <class ArrayType>
-Image *from_grey_array(ArrayType &array, bool isoutput)
-{
-    Image *im = new Image((unsigned)array.dim(0), (unsigned)array.dim(1), isoutput);
-
-    agg::int8u *buffer;
-    if (isoutput) {
-        buffer = im->bufferOut;
-    } else {
-        buffer = im->bufferIn;
-    }
-
-    agg::int8u gray;
-    for (size_t rownum = 0; rownum < (size_t)array.dim(0); rownum++) {
-        for (size_t colnum = 0; colnum < (size_t)array.dim(1); colnum++) {
-            double val = array(rownum, colnum);
-
-            gray = int(255 * val);
-            *buffer++ = gray; // red
-            *buffer++ = gray; // green
-            *buffer++ = gray; // blue
-            *buffer++ = 255;  // alpha
-        }
-    }
-
-    return im;
-}
-
-template <class ArrayType>
-Image *from_color_array(ArrayType &array, bool isoutput)
-{
-    Image *im = new Image((unsigned)array.dim(0), (unsigned)array.dim(1), isoutput);
-
-    agg::int8u *buffer;
-    if (isoutput) {
-        buffer = im->bufferOut;
-    } else {
-        buffer = im->bufferIn;
-    }
-
-    int rgba = array.dim(2) >= 4;
-    double r, g, b;
-    double alpha = 1.0;
-
-    for (size_t rownum = 0; rownum < (size_t)array.dim(0); rownum++) {
-        for (size_t colnum = 0; colnum < (size_t)array.dim(1); colnum++) {
-            typename ArrayType::sub_t::sub_t color = array[rownum][colnum];
-
-            r = color(0);
-            g = color(1);
-            b = color(2);
-
-            if (rgba) {
-                alpha = color(3);
-            }
-
-            *buffer++ = int(255 * r);     // red
-            *buffer++ = int(255 * g);     // green
-            *buffer++ = int(255 * b);     // blue
-            *buffer++ = int(255 * alpha); // alpha
-        }
-    }
-
-    return im;
-}
-
-template <class ArrayType>
-Image *frombyte(ArrayType &array, bool isoutput)
-{
-    Image *im = new Image((unsigned)array.dim(0), (unsigned)array.dim(1), isoutput);
-
-    agg::int8u *buffer;
-    if (isoutput) {
-        buffer = im->bufferOut;
-    } else {
-        buffer = im->bufferIn;
-    }
-
-    int rgba = array.dim(2) >= 4;
-    agg::int8u r, g, b;
-    agg::int8u alpha = 255;
-
-    for (size_t rownum = 0; rownum < (size_t)array.dim(0); rownum++) {
-        for (size_t colnum = 0; colnum < (size_t)array.dim(1); colnum++) {
-            typename ArrayType::sub_t::sub_t color = array[rownum][colnum];
-            r = color(0);
-            g = color(1);
-            b = color(2);
-
-            if (rgba) {
-                alpha = color(3);
-            }
-
-            *buffer++ = r;     // red
-            *buffer++ = g;     // green
-            *buffer++ = b;     // blue
-            *buffer++ = alpha; // alpha
-        }
-    }
-
-    return im;
-}
-
-// utilities for irregular grids
-void _bin_indices_middle(
-    unsigned int *irows, int nrows, const float *ys1, unsigned long ny, float dy, float y_min);
-void _bin_indices_middle_linear(float *arows,
-                                unsigned int *irows,
-                                int nrows,
-                                const float *y,
-                                unsigned long ny,
-                                float dy,
-                                float y_min);
-void _bin_indices(int *irows, int nrows, const double *y, unsigned long ny, double sc, double offs);
-void _bin_indices_linear(
-    float *arows, int *irows, int nrows, double *y, unsigned long ny, double sc, double offs);
-
-template <class CoordinateArray, class ColorArray>
-Image *pcolor(CoordinateArray &x,
-              CoordinateArray &y,
-              ColorArray &d,
-              unsigned int rows,
-              unsigned int cols,
-              float bounds[4],
-              int interpolation)
-{
-    if (rows >= 32768 || cols >= 32768) {
-        throw "rows and cols must both be less than 32768";
-    }
-
-    float x_min = bounds[0];
-    float x_max = bounds[1];
-    float y_min = bounds[2];
-    float y_max = bounds[3];
-    float width = x_max - x_min;
-    float height = y_max - y_min;
-    float dx = width / ((float)cols);
-    float dy = height / ((float)rows);
-
-    // Check we have something to output to
-    if (rows == 0 || cols == 0) {
-        throw "Cannot scale to zero size";
-    }
-
-    if (d.dim(2) != 4) {
-        throw "data must be in RGBA format";
-    }
-
-    // Check dimensions match
-    unsigned long nx = x.dim(0);
-    unsigned long ny = y.dim(0);
-    if (nx != (unsigned long)d.dim(1) || ny != (unsigned long)d.dim(0)) {
-        throw "data and axis dimensions do not match";
-    }
-
-    // Allocate memory for pointer arrays
-    std::vector<unsigned int> rowstarts(rows);
-    std::vector<unsigned int> colstarts(cols);
-
-    // Create output
-    Image *imo = new Image(rows, cols, true);
-
-    // Calculate the pointer arrays to map input x to output x
-    unsigned int i, j;
-    unsigned int *colstart = &colstarts[0];
-    unsigned int *rowstart = &rowstarts[0];
-    const float *xs1 = x.data();
-    const float *ys1 = y.data();
-
-    // Copy data to output buffer
-    const unsigned char *start;
-    const unsigned char *inposition;
-    size_t inrowsize = nx * 4;
-    size_t rowsize = cols * 4;
-    agg::int8u *position = imo->bufferOut;
-    agg::int8u *oldposition = NULL;
-    start = d.data();
-
-    if (interpolation == Image::NEAREST) {
-        _bin_indices_middle(colstart, cols, xs1, nx, dx, x_min);
-        _bin_indices_middle(rowstart, rows, ys1, ny, dy, y_min);
-        for (i = 0; i < rows; i++, rowstart++) {
-            if (i > 0 && *rowstart == 0) {
-                memcpy(position, oldposition, rowsize * sizeof(agg::int8u));
-                oldposition = position;
-                position += rowsize;
-            } else {
-                oldposition = position;
-                start += *rowstart * inrowsize;
-                inposition = start;
-                for (j = 0, colstart = &colstarts[0]; j < cols; j++, position += 4, colstart++) {
-                    inposition += *colstart * 4;
-                    memcpy(position, inposition, 4 * sizeof(agg::int8u));
-                }
-            }
-        }
-    } else if (interpolation == Image::BILINEAR) {
-        std::vector<float> acols(cols);
-        std::vector<float> arows(rows);
-
-        _bin_indices_middle_linear(&acols[0], colstart, cols, xs1, nx, dx, x_min);
-        _bin_indices_middle_linear(&arows[0], rowstart, rows, ys1, ny, dy, y_min);
-        double a00, a01, a10, a11, alpha, beta;
-
-        // Copy data to output buffer
-        for (i = 0; i < rows; i++) {
-            for (j = 0; j < cols; j++) {
-                alpha = arows[i];
-                beta = acols[j];
-
-                a00 = alpha * beta;
-                a01 = alpha * (1.0 - beta);
-                a10 = (1.0 - alpha) * beta;
-                a11 = 1.0 - a00 - a01 - a10;
-
-                typename ColorArray::sub_t::sub_t start00 = d[rowstart[i]][colstart[j]];
-                typename ColorArray::sub_t::sub_t start01 = d[rowstart[i]][colstart[j] + 1];
-                typename ColorArray::sub_t::sub_t start10 = d[rowstart[i] + 1][colstart[j]];
-                typename ColorArray::sub_t::sub_t start11 = d[rowstart[i] + 1][colstart[j] + 1];
-                for (size_t k = 0; k < 4; ++k) {
-                    position[k] =
-                        start00(k) * a00 + start01(k) * a01 + start10(k) * a10 + start11(k) * a11;
-                }
-                position += 4;
-            }
-        }
-    }
-
-    return imo;
-}
-
-template <class CoordinateArray, class ColorArray, class Color>
-Image *pcolor2(CoordinateArray &x,
-               CoordinateArray &y,
-               ColorArray &d,
-               unsigned int rows,
-               unsigned int cols,
-               float bounds[4],
-               Color &bg)
-{
-    double x_left = bounds[0];
-    double x_right = bounds[1];
-    double y_bot = bounds[2];
-    double y_top = bounds[3];
-
-    // Check we have something to output to
-    if (rows == 0 || cols == 0) {
-        throw "rows or cols is zero; there are no pixels";
-    }
-
-    if (d.dim(2) != 4) {
-        throw "data must be in RGBA format";
-    }
-
-    // Check dimensions match
-    unsigned long nx = x.dim(0);
-    unsigned long ny = y.dim(0);
-    if (nx != (unsigned long)d.dim(1) + 1 || ny != (unsigned long)d.dim(0) + 1) {
-        throw "data and axis bin boundary dimensions are incompatible";
-    }
-
-    if (bg.dim(0) != 4) {
-        throw "bg must be in RGBA format";
-    }
-
-    std::vector<int> irows(rows);
-    std::vector<int> jcols(cols);
-
-    // Create output
-    Image *imo = new Image(rows, cols, true);
-
-    // Calculate the pointer arrays to map input x to output x
-    size_t i, j;
-    const double *x0 = x.data();
-    const double *y0 = y.data();
-    double sx = cols / (x_right - x_left);
-    double sy = rows / (y_top - y_bot);
-    _bin_indices(&jcols[0], cols, x0, nx, sx, x_left);
-    _bin_indices(&irows[0], rows, y0, ny, sy, y_bot);
-
-    // Copy data to output buffer
-    agg::int8u *position = imo->bufferOut;
-
-    for (i = 0; i < rows; i++) {
-        for (j = 0; j < cols; j++) {
-            if (irows[i] == -1 || jcols[j] == -1) {
-                memcpy(position, (const agg::int8u *)bg.data(), 4 * sizeof(agg::int8u));
-            } else {
-                for (size_t k = 0; k < 4; ++k) {
-                    position[k] = d(irows[i], jcols[j], k);
-                }
-            }
-            position += 4;
-        }
-    }
-
-    return imo;
-}
-
-#endif
diff --git a/src/_image_resample.h b/src/_image_resample.h
new file mode 100644
index 000000000000..7e6c32c6bf64
--- /dev/null
+++ b/src/_image_resample.h
@@ -0,0 +1,819 @@
+/* -*- mode: c++; c-basic-offset: 4 -*- */
+
+#ifndef MPL_RESAMPLE_H
+#define MPL_RESAMPLE_H
+
+#define MPL_DISABLE_AGG_GRAY_CLIPPING
+
+#include "agg_image_accessors.h"
+#include "agg_path_storage.h"
+#include "agg_pixfmt_gray.h"
+#include "agg_pixfmt_rgba.h"
+#include "agg_renderer_base.h"
+#include "agg_renderer_scanline.h"
+#include "agg_rasterizer_scanline_aa.h"
+#include "agg_scanline_u.h"
+#include "agg_span_allocator.h"
+#include "agg_span_converter.h"
+#include "agg_span_image_filter_gray.h"
+#include "agg_span_image_filter_rgba.h"
+#include "agg_span_interpolator_adaptor.h"
+#include "agg_span_interpolator_linear.h"
+
+#include "agg_workaround.h"
+
+// Based on:
+
+//----------------------------------------------------------------------------
+// Anti-Grain Geometry - Version 2.4
+// Copyright (C) 2002-2005 Maxim Shemanarev (http://antigrain.com/)
+//
+// Permission to copy, use, modify, sell and distribute this software
+// is granted provided this copyright notice appears in all copies.
+// This software is provided "as is" without express or implied
+// warranty, and with no claim as to its suitability for any purpose.
+//
+//----------------------------------------------------------------------------
+// Contact: mcseem@antigrain.com
+//          mcseemagg@yahoo.com
+//          http://antigrain.com/
+//----------------------------------------------------------------------------
+//
+// Adaptation for high precision colors has been sponsored by
+// Liberty Technology Systems, Inc., visit http://lib-sys.com
+//
+// Liberty Technology Systems, Inc. is the provider of
+// PostScript and PDF technology for software developers.
+//
+
+//===================================================================gray64
+namespace agg
+{
+    struct gray64
+    {
+        typedef double value_type;
+        typedef double calc_type;
+        typedef double long_type;
+        typedef gray64 self_type;
+
+        value_type v;
+        value_type a;
+
+        //--------------------------------------------------------------------
+        gray64() = default;
+
+        //--------------------------------------------------------------------
+        explicit gray64(value_type v_, value_type a_ = 1) : v(v_), a(a_) {}
+
+        //--------------------------------------------------------------------
+        gray64(const self_type& c, value_type a_) : v(c.v), a(a_) {}
+
+        //--------------------------------------------------------------------
+        gray64(const gray64& c) = default;
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE double to_double(value_type a)
+        {
+            return a;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type from_double(double a)
+        {
+            return value_type(a);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type empty_value()
+        {
+            return 0;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type full_value()
+        {
+            return 1;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE bool is_transparent() const
+        {
+            return a <= 0;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE bool is_opaque() const
+        {
+            return a >= 1;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type invert(value_type x)
+        {
+            return 1 - x;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type multiply(value_type a, value_type b)
+        {
+            return value_type(a * b);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type demultiply(value_type a, value_type b)
+        {
+            return (b == 0) ? 0 : value_type(a / b);
+        }
+
+        //--------------------------------------------------------------------
+        template<typename T>
+        static AGG_INLINE T downscale(T a)
+        {
+            return a;
+        }
+
+        //--------------------------------------------------------------------
+        template<typename T>
+        static AGG_INLINE T downshift(T a, unsigned n)
+        {
+            return n > 0 ? a / (1 << n) : a;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type mult_cover(value_type a, cover_type b)
+        {
+            return value_type(a * b / cover_mask);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE cover_type scale_cover(cover_type a, value_type b)
+        {
+            return cover_type(uround(a * b));
+        }
+
+        //--------------------------------------------------------------------
+        // Interpolate p to q by a, assuming q is premultiplied by a.
+        static AGG_INLINE value_type prelerp(value_type p, value_type q, value_type a)
+        {
+            return (1 - a) * p + q; // more accurate than "p + q - p * a"
+        }
+
+        //--------------------------------------------------------------------
+        // Interpolate p to q by a.
+        static AGG_INLINE value_type lerp(value_type p, value_type q, value_type a)
+        {
+            // The form "p + a * (q - p)" avoids a multiplication, but may produce an
+            // inaccurate result. For example, "p + (q - p)" may not be exactly equal
+            // to q. Therefore, stick to the basic expression, which at least produces
+            // the correct result at either extreme.
+            return (1 - a) * p + a * q;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& clear()
+        {
+            v = a = 0;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& transparent()
+        {
+            a = 0;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& opacity(double a_)
+        {
+            if (a_ < 0) a = 0;
+            else if (a_ > 1) a = 1;
+            else a = value_type(a_);
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        double opacity() const
+        {
+            return a;
+        }
+
+
+        //--------------------------------------------------------------------
+        self_type& premultiply()
+        {
+            if (a < 0) v = 0;
+            else if(a < 1) v *= a;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& demultiply()
+        {
+            if (a < 0) v = 0;
+            else if (a < 1) v /= a;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        self_type gradient(self_type c, double k) const
+        {
+            return self_type(
+                             value_type(v + (c.v - v) * k),
+                             value_type(a + (c.a - a) * k));
+        }
+
+        //--------------------------------------------------------------------
+        static self_type no_color() { return self_type(0,0); }
+    };
+
+
+    //====================================================================rgba32
+    struct rgba64
+    {
+        typedef double value_type;
+        typedef double calc_type;
+        typedef double long_type;
+        typedef rgba64 self_type;
+
+        value_type r;
+        value_type g;
+        value_type b;
+        value_type a;
+
+        //--------------------------------------------------------------------
+        rgba64() = default;
+
+        //--------------------------------------------------------------------
+        rgba64(value_type r_, value_type g_, value_type b_, value_type a_= 1) :
+            r(r_), g(g_), b(b_), a(a_) {}
+
+        //--------------------------------------------------------------------
+        rgba64(const self_type& c, float a_) :
+            r(c.r), g(c.g), b(c.b), a(a_) {}
+
+        //--------------------------------------------------------------------
+        rgba64(const rgba& c) :
+            r(value_type(c.r)), g(value_type(c.g)), b(value_type(c.b)), a(value_type(c.a)) {}
+
+        //--------------------------------------------------------------------
+        operator rgba() const
+        {
+            return rgba(r, g, b, a);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE double to_double(value_type a)
+        {
+            return a;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type from_double(double a)
+        {
+            return value_type(a);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type empty_value()
+        {
+            return 0;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type full_value()
+        {
+            return 1;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE bool is_transparent() const
+        {
+            return a <= 0;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE bool is_opaque() const
+        {
+            return a >= 1;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type invert(value_type x)
+        {
+            return 1 - x;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type multiply(value_type a, value_type b)
+        {
+            return value_type(a * b);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type demultiply(value_type a, value_type b)
+        {
+            return (b == 0) ? 0 : value_type(a / b);
+        }
+
+        //--------------------------------------------------------------------
+        template<typename T>
+        static AGG_INLINE T downscale(T a)
+        {
+            return a;
+        }
+
+        //--------------------------------------------------------------------
+        template<typename T>
+        static AGG_INLINE T downshift(T a, unsigned n)
+        {
+            return n > 0 ? a / (1 << n) : a;
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE value_type mult_cover(value_type a, cover_type b)
+        {
+            return value_type(a * b / cover_mask);
+        }
+
+        //--------------------------------------------------------------------
+        static AGG_INLINE cover_type scale_cover(cover_type a, value_type b)
+        {
+            return cover_type(uround(a * b));
+        }
+
+        //--------------------------------------------------------------------
+        // Interpolate p to q by a, assuming q is premultiplied by a.
+        static AGG_INLINE value_type prelerp(value_type p, value_type q, value_type a)
+        {
+            return (1 - a) * p + q; // more accurate than "p + q - p * a"
+        }
+
+        //--------------------------------------------------------------------
+        // Interpolate p to q by a.
+        static AGG_INLINE value_type lerp(value_type p, value_type q, value_type a)
+        {
+            // The form "p + a * (q - p)" avoids a multiplication, but may produce an
+            // inaccurate result. For example, "p + (q - p)" may not be exactly equal
+            // to q. Therefore, stick to the basic expression, which at least produces
+            // the correct result at either extreme.
+            return (1 - a) * p + a * q;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& clear()
+        {
+            r = g = b = a = 0;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        self_type& transparent()
+        {
+            a = 0;
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE self_type& opacity(double a_)
+        {
+            if (a_ < 0) a = 0;
+            else if (a_ > 1) a = 1;
+            else a = value_type(a_);
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        double opacity() const
+        {
+            return a;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE self_type& premultiply()
+        {
+            if (a < 1)
+            {
+                if (a <= 0)
+                {
+                    r = g = b = 0;
+                }
+                else
+                {
+                    r *= a;
+                    g *= a;
+                    b *= a;
+                }
+            }
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE self_type& demultiply()
+        {
+            if (a < 1)
+            {
+                if (a <= 0)
+                {
+                    r = g = b = 0;
+                }
+                else
+                {
+                    r /= a;
+                    g /= a;
+                    b /= a;
+                }
+            }
+            return *this;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE self_type gradient(const self_type& c, double k) const
+        {
+            self_type ret;
+            ret.r = value_type(r + (c.r - r) * k);
+            ret.g = value_type(g + (c.g - g) * k);
+            ret.b = value_type(b + (c.b - b) * k);
+            ret.a = value_type(a + (c.a - a) * k);
+            return ret;
+        }
+
+        //--------------------------------------------------------------------
+        AGG_INLINE void add(const self_type& c, unsigned cover)
+        {
+            if (cover == cover_mask)
+            {
+                if (c.is_opaque())
+                {
+                    *this = c;
+                    return;
+                }
+                else
+                {
+                    r += c.r;
+                    g += c.g;
+                    b += c.b;
+                    a += c.a;
+                }
+            }
+            else
+            {
+                r += mult_cover(c.r, cover);
+                g += mult_cover(c.g, cover);
+                b += mult_cover(c.b, cover);
+                a += mult_cover(c.a, cover);
+            }
+            if (a > 1) a = 1;
+            if (r > a) r = a;
+            if (g > a) g = a;
+            if (b > a) b = a;
+        }
+
+        //--------------------------------------------------------------------
+        static self_type no_color() { return self_type(0,0,0,0); }
+    };
+}
+
+
+typedef enum {
+    NEAREST,
+    BILINEAR,
+    BICUBIC,
+    SPLINE16,
+    SPLINE36,
+    HANNING,
+    HAMMING,
+    HERMITE,
+    KAISER,
+    QUADRIC,
+    CATROM,
+    GAUSSIAN,
+    BESSEL,
+    MITCHELL,
+    SINC,
+    LANCZOS,
+    BLACKMAN,
+} interpolation_e;
+
+
+// T is rgba if and only if it has an T::r field.
+template<typename T, typename = void> struct is_grayscale : std::true_type {};
+template<typename T> struct is_grayscale<T, std::void_t<decltype(T::r)>> : std::false_type {};
+template<typename T> constexpr bool is_grayscale_v = is_grayscale<T>::value;
+
+
+template<typename color_type>
+struct type_mapping
+{
+    using blender_type = std::conditional_t<
+        is_grayscale_v<color_type>,
+        agg::blender_gray<color_type>,
+        std::conditional_t<
+            std::is_same_v<color_type, agg::rgba8>,
+            fixed_blender_rgba_plain<color_type, agg::order_rgba>,
+            agg::blender_rgba_plain<color_type, agg::order_rgba>
+        >
+    >;
+    using pixfmt_type = std::conditional_t<
+        is_grayscale_v<color_type>,
+        agg::pixfmt_alpha_blend_gray<blender_type, agg::rendering_buffer>,
+        agg::pixfmt_alpha_blend_rgba<blender_type, agg::rendering_buffer>
+    >;
+    template<typename A> using span_gen_affine_type = std::conditional_t<
+        is_grayscale_v<color_type>,
+        agg::span_image_resample_gray_affine<A>,
+        agg::span_image_resample_rgba_affine<A>
+    >;
+    template<typename A, typename B> using span_gen_filter_type = std::conditional_t<
+        is_grayscale_v<color_type>,
+        agg::span_image_filter_gray<A, B>,
+        agg::span_image_filter_rgba<A, B>
+    >;
+    template<typename A, typename B> using span_gen_nn_type = std::conditional_t<
+        is_grayscale_v<color_type>,
+        agg::span_image_filter_gray_nn<A, B>,
+        agg::span_image_filter_rgba_nn<A, B>
+    >;
+};
+
+
+template<typename color_type>
+class span_conv_alpha
+{
+public:
+    span_conv_alpha(const double alpha) :
+        m_alpha(alpha)
+    {
+    }
+
+    void prepare() {}
+
+    void generate(color_type* span, int x, int y, unsigned len) const
+    {
+        if (m_alpha != 1.0) {
+            do {
+                span->a = static_cast<typename color_type::value_type>(
+                    static_cast<typename color_type::calc_type>(span->a) * m_alpha);
+                ++span;
+            } while (--len);
+        }
+    }
+private:
+
+    const double m_alpha;
+};
+
+
+/* A class to use a lookup table for a transformation */
+class lookup_distortion
+{
+public:
+    lookup_distortion(const double *mesh, int in_width, int in_height,
+                      int out_width, int out_height) :
+        m_mesh(mesh),
+        m_in_width(in_width),
+        m_in_height(in_height),
+        m_out_width(out_width),
+        m_out_height(out_height)
+    {}
+
+    void calculate(int* x, int* y) {
+        if (m_mesh) {
+            double dx = double(*x) / agg::image_subpixel_scale;
+            double dy = double(*y) / agg::image_subpixel_scale;
+            if (dx >= 0 && dx < m_out_width &&
+                dy >= 0 && dy < m_out_height) {
+                const double *coord = m_mesh + (int(dy) * m_out_width + int(dx)) * 2;
+                *x = int(coord[0] * agg::image_subpixel_scale);
+                *y = int(coord[1] * agg::image_subpixel_scale);
+            }
+        }
+    }
+
+protected:
+    const double *m_mesh;
+    int m_in_width;
+    int m_in_height;
+    int m_out_width;
+    int m_out_height;
+};
+
+
+struct resample_params_t {
+    interpolation_e interpolation;
+    bool is_affine;
+    agg::trans_affine affine;
+    const double *transform_mesh;
+    bool resample;
+    bool norm;
+    double radius;
+    double alpha;
+};
+
+
+static void get_filter(const resample_params_t &params,
+                       agg::image_filter_lut &filter)
+{
+    switch (params.interpolation) {
+    case NEAREST:
+        // Never should get here.  Here to silence compiler warnings.
+        break;
+
+    case HANNING:
+        filter.calculate(agg::image_filter_hanning(), params.norm);
+        break;
+
+    case HAMMING:
+        filter.calculate(agg::image_filter_hamming(), params.norm);
+        break;
+
+    case HERMITE:
+        filter.calculate(agg::image_filter_hermite(), params.norm);
+        break;
+
+    case BILINEAR:
+        filter.calculate(agg::image_filter_bilinear(), params.norm);
+        break;
+
+    case BICUBIC:
+        filter.calculate(agg::image_filter_bicubic(), params.norm);
+        break;
+
+    case SPLINE16:
+        filter.calculate(agg::image_filter_spline16(), params.norm);
+        break;
+
+    case SPLINE36:
+        filter.calculate(agg::image_filter_spline36(), params.norm);
+        break;
+
+    case KAISER:
+        filter.calculate(agg::image_filter_kaiser(), params.norm);
+        break;
+
+    case QUADRIC:
+        filter.calculate(agg::image_filter_quadric(), params.norm);
+        break;
+
+    case CATROM:
+        filter.calculate(agg::image_filter_catrom(), params.norm);
+        break;
+
+    case GAUSSIAN:
+        filter.calculate(agg::image_filter_gaussian(), params.norm);
+        break;
+
+    case BESSEL:
+        filter.calculate(agg::image_filter_bessel(), params.norm);
+        break;
+
+    case MITCHELL:
+        filter.calculate(agg::image_filter_mitchell(), params.norm);
+        break;
+
+    case SINC:
+        filter.calculate(agg::image_filter_sinc(params.radius), params.norm);
+        break;
+
+    case LANCZOS:
+        filter.calculate(agg::image_filter_lanczos(params.radius), params.norm);
+        break;
+
+    case BLACKMAN:
+        filter.calculate(agg::image_filter_blackman(params.radius), params.norm);
+        break;
+    }
+}
+
+
+template<typename color_type>
+void resample(
+    const void *input, int in_width, int in_height,
+    void *output, int out_width, int out_height,
+    resample_params_t &params)
+{
+    using type_mapping_t = type_mapping<color_type>;
+
+    using input_pixfmt_t = typename type_mapping_t::pixfmt_type;
+    using output_pixfmt_t = typename type_mapping_t::pixfmt_type;
+
+    using renderer_t = agg::renderer_base<output_pixfmt_t>;
+    using rasterizer_t = agg::rasterizer_scanline_aa<agg::rasterizer_sl_clip_dbl>;
+    using scanline_t = agg::scanline32_u8;
+
+    using reflect_t = agg::wrap_mode_reflect;
+    using image_accessor_t = agg::image_accessor_wrap<input_pixfmt_t, reflect_t, reflect_t>;
+
+    using span_alloc_t = agg::span_allocator<color_type>;
+    using span_conv_alpha_t = span_conv_alpha<color_type>;
+
+    using affine_interpolator_t = agg::span_interpolator_linear<>;
+    using arbitrary_interpolator_t =
+        agg::span_interpolator_adaptor<agg::span_interpolator_linear<>, lookup_distortion>;
+
+    size_t itemsize = sizeof(color_type);
+    if (is_grayscale<color_type>::value) {
+        itemsize /= 2;  // agg::grayXX includes an alpha channel which we don't have.
+    }
+
+    if (params.interpolation != NEAREST &&
+        params.is_affine &&
+        fabs(params.affine.sx) == 1.0 &&
+        fabs(params.affine.sy) == 1.0 &&
+        params.affine.shx == 0.0 &&
+        params.affine.shy == 0.0) {
+        params.interpolation = NEAREST;
+    }
+
+    span_alloc_t span_alloc;
+    rasterizer_t rasterizer;
+    scanline_t scanline;
+
+    span_conv_alpha_t conv_alpha(params.alpha);
+
+    agg::rendering_buffer input_buffer;
+    input_buffer.attach(
+        (unsigned char *)input, in_width, in_height, in_width * itemsize);
+    input_pixfmt_t input_pixfmt(input_buffer);
+    image_accessor_t input_accessor(input_pixfmt);
+
+    agg::rendering_buffer output_buffer;
+    output_buffer.attach(
+        (unsigned char *)output, out_width, out_height, out_width * itemsize);
+    output_pixfmt_t output_pixfmt(output_buffer);
+    renderer_t renderer(output_pixfmt);
+
+    agg::trans_affine inverted = params.affine;
+    inverted.invert();
+
+    rasterizer.clip_box(0, 0, out_width, out_height);
+
+    agg::path_storage path;
+    if (params.is_affine) {
+        path.move_to(0, 0);
+        path.line_to(in_width, 0);
+        path.line_to(in_width, in_height);
+        path.line_to(0, in_height);
+        path.close_polygon();
+        agg::conv_transform<agg::path_storage> rectangle(path, params.affine);
+        rasterizer.add_path(rectangle);
+    } else {
+        path.move_to(0, 0);
+        path.line_to(out_width, 0);
+        path.line_to(out_width, out_height);
+        path.line_to(0, out_height);
+        path.close_polygon();
+        rasterizer.add_path(path);
+    }
+
+    if (params.interpolation == NEAREST) {
+        if (params.is_affine) {
+            using span_gen_t = typename type_mapping_t::template span_gen_nn_type<image_accessor_t, affine_interpolator_t>;
+            using span_conv_t = agg::span_converter<span_gen_t, span_conv_alpha_t>;
+            using nn_renderer_t = agg::renderer_scanline_aa<renderer_t, span_alloc_t, span_conv_t>;
+            affine_interpolator_t interpolator(inverted);
+            span_gen_t span_gen(input_accessor, interpolator);
+            span_conv_t span_conv(span_gen, conv_alpha);
+            nn_renderer_t nn_renderer(renderer, span_alloc, span_conv);
+            agg::render_scanlines(rasterizer, scanline, nn_renderer);
+        } else {
+            using span_gen_t = typename type_mapping_t::template span_gen_nn_type<image_accessor_t, arbitrary_interpolator_t>;
+            using span_conv_t = agg::span_converter<span_gen_t, span_conv_alpha_t>;
+            using nn_renderer_t = agg::renderer_scanline_aa<renderer_t, span_alloc_t, span_conv_t>;
+            lookup_distortion dist(
+                params.transform_mesh, in_width, in_height, out_width, out_height);
+            arbitrary_interpolator_t interpolator(inverted, dist);
+            span_gen_t span_gen(input_accessor, interpolator);
+            span_conv_t span_conv(span_gen, conv_alpha);
+            nn_renderer_t nn_renderer(renderer, span_alloc, span_conv);
+            agg::render_scanlines(rasterizer, scanline, nn_renderer);
+        }
+    } else {
+        agg::image_filter_lut filter;
+        get_filter(params, filter);
+
+        if (params.is_affine && params.resample) {
+            using span_gen_t = typename type_mapping_t::template span_gen_affine_type<image_accessor_t>;
+            using span_conv_t = agg::span_converter<span_gen_t, span_conv_alpha_t>;
+            using int_renderer_t = agg::renderer_scanline_aa<renderer_t, span_alloc_t, span_conv_t>;
+            affine_interpolator_t interpolator(inverted);
+            span_gen_t span_gen(input_accessor, interpolator, filter);
+            span_conv_t span_conv(span_gen, conv_alpha);
+            int_renderer_t int_renderer(renderer, span_alloc, span_conv);
+            agg::render_scanlines(rasterizer, scanline, int_renderer);
+        } else {
+            using span_gen_t = typename type_mapping_t::template span_gen_filter_type<image_accessor_t, arbitrary_interpolator_t>;
+            using span_conv_t = agg::span_converter<span_gen_t, span_conv_alpha_t>;
+            using int_renderer_t = agg::renderer_scanline_aa<renderer_t, span_alloc_t, span_conv_t>;
+            lookup_distortion dist(
+                params.transform_mesh, in_width, in_height, out_width, out_height);
+            arbitrary_interpolator_t interpolator(inverted, dist);
+            span_gen_t span_gen(input_accessor, interpolator, filter);
+            span_conv_t span_conv(span_gen, conv_alpha);
+            int_renderer_t int_renderer(renderer, span_alloc, span_conv);
+            agg::render_scanlines(rasterizer, scanline, int_renderer);
+        }
+    }
+}
+
+#endif /* MPL_RESAMPLE_H */
diff --git a/src/_image_wrapper.cpp b/src/_image_wrapper.cpp
index fa8262c6ff6a..0f7b0da88de8 100644
--- a/src/_image_wrapper.cpp
+++ b/src/_image_wrapper.cpp
@@ -1,800 +1,235 @@
-#include "mplutils.h"
-#include "_image.h"
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+
+#include "_image_resample.h"
 #include "py_converters.h"
 
+namespace py = pybind11;
+using namespace pybind11::literals;
+
 /**********************************************************************
- * Image
+ * Free functions
  * */
 
-typedef struct
-{
-    PyObject_HEAD;
-    Image *x;
-    Py_ssize_t shape[3];
-    Py_ssize_t strides[3];
-    Py_ssize_t suboffsets[3];
-    PyObject *dict;
-} PyImage;
+const char* image_resample__doc__ =
+R"""(Resample input_array, blending it in-place into output_array, using an affine transform.
 
-static PyTypeObject PyImageType;
+Parameters
+----------
+input_array : 2-d or 3-d NumPy array of float, double or `numpy.uint8`
+    If 2-d, the image is grayscale.  If 3-d, the image must be of size 4 in the last
+    dimension and represents RGBA data.
 
-static PyObject *PyImage_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    PyImage *self;
-    self = (PyImage *)type->tp_alloc(type, 0);
-    memset(self, 0, sizeof(PyImage));
-    self->x = NULL;
-    self->dict = PyDict_New();
-    return (PyObject *)self;
-}
+output_array : 2-d or 3-d NumPy array of float, double or `numpy.uint8`
+    The dtype and number of dimensions must match `input_array`.
 
-static PyObject *PyImage_cnew(Image *im)
-{
-    PyImage *self;
-    self = (PyImage *)PyImageType.tp_alloc(&PyImageType, 0);
-    self->x = im;
-    self->dict = PyDict_New();
-    return (PyObject *)self;
-}
+transform : matplotlib.transforms.Transform instance
+    The transformation from the input array to the output array.
 
-static int PyImage_init(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    if (!PyArg_ParseTuple(args, "")) {
-        return -1;
-    }
+interpolation : int, default: NEAREST
+    The interpolation method.  Must be one of the following constants defined in this
+    module:
 
-    CALL_CPP_INIT("Image", (self->x = new Image()));
+      NEAREST, BILINEAR, BICUBIC, SPLINE16, SPLINE36, HANNING, HAMMING, HERMITE, KAISER,
+      QUADRIC, CATROM, GAUSSIAN, BESSEL, MITCHELL, SINC, LANCZOS, BLACKMAN
 
-    return 0;
-}
+resample : bool, optional
+    When `True`, use a full resampling method.  When `False`, only resample when the
+    output image is larger than the input image.
 
-static void PyImage_dealloc(PyImage *self)
-{
-    delete self->x;
-    Py_DECREF(self->dict);
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
+alpha : float, default: 1
+    The transparency level, from 0 (transparent) to 1 (opaque).
 
-const char *PyImage_apply_rotation__doc__ =
-    "apply_rotation(angle)\n"
-    "\n"
-    "Apply the rotation (degrees) to image";
+norm : bool, default: False
+    Whether to norm the interpolation function.
 
-static PyObject *PyImage_apply_rotation(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    double r;
-
-    if (!PyArg_ParseTuple(args, "d:apply_rotation", &r)) {
-        return NULL;
-    }
-
-    CALL_CPP("apply_rotation", (self->x->apply_rotation(r)));
-
-    Py_RETURN_NONE;
-}
+radius: float, default: 1
+    The radius of the kernel, if method is SINC, LANCZOS or BLACKMAN.
+)""";
 
-const char *PyImage_set_bg__doc__ =
-    "set_bg(r,g,b,a)\n"
-    "\n"
-    "Set the background color";
 
-static PyObject *PyImage_set_bg(PyImage *self, PyObject *args, PyObject *kwds)
+static py::array_t<double>
+_get_transform_mesh(const py::object& transform, const py::ssize_t *dims)
 {
-    double r, g, b, a;
+    /* TODO: Could we get away with float, rather than double, arrays here? */
 
-    if (!PyArg_ParseTuple(args, "dddd:set_bg", &r, &g, &b, &a)) {
-        return NULL;
-    }
-
-    CALL_CPP("set_bg", (self->x->set_bg(r, g, b, a)));
-
-    Py_RETURN_NONE;
-}
+    /* Given a non-affine transform object, create a mesh that maps
+    every pixel in the output image to the input image.  This is used
+    as a lookup table during the actual resampling. */
 
-const char *PyImage_apply_scaling__doc__ =
-    "apply_scaling(sx, sy)\n"
-    "\n"
-    "Apply the scale factors sx, sy to the transform matrix";
+    // If attribute doesn't exist, raises Python AttributeError
+    auto inverse = transform.attr("inverted")();
 
-static PyObject *PyImage_apply_scaling(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    double sx, sy;
+    py::ssize_t mesh_dims[2] = {dims[0]*dims[1], 2};
+    py::array_t<double> input_mesh(mesh_dims);
+    auto p = input_mesh.mutable_data();
 
-    if (!PyArg_ParseTuple(args, "dd:apply_scaling", &sx, &sy)) {
-        return NULL;
-    }
-
-    CALL_CPP("apply_scaling", (self->x->apply_scaling(sx, sy)));
-
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_apply_translation__doc__ =
-    "apply_translation(tx, ty)\n"
-    "\n"
-    "Apply the translation tx, ty to the transform matrix";
-
-static PyObject *PyImage_apply_translation(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    double tx, ty;
-    if (!PyArg_ParseTuple(args, "dd:apply_translation", &tx, &ty)) {
-        return NULL;
-    }
-
-    CALL_CPP("apply_translation", self->x->apply_translation(tx, ty));
-
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_as_rgba_str__doc__ =
-    "numrows, numcols, s = as_rgba_str()"
-    "\n"
-    "Call this function after resize to get the data as string\n"
-    "The string is a numrows by numcols x 4 (RGBA) unsigned char buffer\n";
-
-static PyObject *PyImage_as_rgba_str(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    // TODO: This performs a copy.  Use buffer interface when possible
-
-    PyObject *result = PyBytes_FromStringAndSize(NULL, self->x->rowsOut * self->x->colsOut * 4);
-    if (result == NULL) {
-        return NULL;
-    }
-
-    CALL_CPP_CLEANUP("as_rgba_str",
-                     (self->x->as_rgba_str((agg::int8u *)PyBytes_AsString(result))),
-                     Py_DECREF(result));
-
-    return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, result);
-}
-
-const char *PyImage_color_conv__doc__ =
-    "numrows, numcols, buffer = color_conv(format)"
-    "\n"
-    "format 0(BGRA) or 1(ARGB)\n"
-    "Convert image to format and return in a writable buffer\n";
-
-// TODO: This function is a terrible interface.  Change/remove?  Only
-// used by Cairo backend.
-
-static PyObject *PyImage_color_conv(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    int format;
-
-    if (!PyArg_ParseTuple(args, "i:color_conv", &format)) {
-        return NULL;
-    }
-
-    PyObject *result = PyBytes_FromStringAndSize(NULL, self->x->rowsOut * self->x->colsOut * 4);
-    if (result == NULL) {
-        return NULL;
-    }
-
-    CALL_CPP_CLEANUP("color_conv",
-                     (self->x->color_conv(format, (agg::int8u *)PyBytes_AsString(result))),
-                     Py_DECREF(result));
-
-    return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, result);
-}
-
-const char *PyImage_buffer_rgba__doc__ =
-    "buffer = buffer_rgba()"
-    "\n"
-    "Return the image buffer as rgba32\n";
-
-static PyObject *PyImage_buffer_rgba(PyImage *self, PyObject *args, PyObject *kwds)
-{
-#if PY3K
-    return Py_BuildValue("nny#",
-                         self->x->rowsOut,
-                         self->x->colsOut,
-                         self->x->rbufOut,
-                         self->x->rowsOut * self->x->colsOut * 4);
-#else
-    PyObject *buffer =
-        PyBuffer_FromReadWriteMemory(self->x->rbufOut, self->x->rowsOut * self->x->colsOut * 4);
-    if (buffer == NULL) {
-        return NULL;
-    }
-
-    return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, buffer);
-#endif
-}
-
-const char *PyImage_reset_matrix__doc__ =
-    "reset_matrix()"
-    "\n"
-    "Reset the transformation matrix";
-
-static PyObject *PyImage_reset_matrix(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    CALL_CPP("reset_matrix", self->x->reset_matrix());
-
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_get_matrix__doc__ =
-    "(m11,m21,m12,m22,m13,m23) = get_matrix()\n"
-    "\n"
-    "Get the affine transformation matrix\n"
-    "  /m11,m12,m13\\\n"
-    "  /m21,m22,m23|\n"
-    "  \\ 0 , 0 , 1 /";
-
-static PyObject *PyImage_get_matrix(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    double m[6];
-    self->x->srcMatrix.store_to(m);
-
-    return Py_BuildValue("dddddd", m[0], m[1], m[2], m[3], m[4], m[5]);
-}
-
-const char *PyImage_resize__doc__ =
-    "resize(width, height, norm=1, radius=4.0)\n"
-    "\n"
-    "Resize the image to width, height using interpolation\n"
-    "norm and radius are optional args for some of the filters\n";
-
-static PyObject *PyImage_resize(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    double width;
-    double height;
-    double norm;
-    double radius;
-    const char *names[] = { "width", "height", "norm", "radius", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "dd|dd:resize", (char **)names, &width, &height, &norm, &radius)) {
-        return NULL;
-    }
-
-    CALL_CPP("resize", (self->x->resize(width, height, norm, radius)));
-
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_get_interpolation__doc__ =
-    "get_interpolation()\n"
-    "\n"
-    "Get the interpolation scheme to one of the module constants, "
-    "one of image.NEAREST, image.BILINEAR, etc...";
-
-static PyObject *PyImage_get_interpolation(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    return PyLong_FromLong(self->x->interpolation);
-}
-
-const char *PyImage_set_interpolation__doc__ =
-    "set_interpolation(scheme)\n"
-    "\n"
-    "Set the interpolation scheme to one of the module constants, "
-    "eg, image.NEAREST, image.BILINEAR, etc...";
-
-static PyObject *PyImage_set_interpolation(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    int method;
-
-    if (!PyArg_ParseTuple(args, "i:set_interpolation", &method)) {
-        return NULL;
+    for (auto y = 0; y < dims[0]; ++y) {
+        for (auto x = 0; x < dims[1]; ++x) {
+            *p++ = (double)x;
+            *p++ = (double)y;
+        }
     }
 
-    self->x->interpolation = method;
-
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_get_aspect__doc__ =
-    "get_aspect()\n"
-    "\n"
-    "Get the aspect constraint constants";
-
-static PyObject *PyImage_get_aspect(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    return PyLong_FromLong(self->x->aspect);
-}
+    auto output_mesh = inverse.attr("transform")(input_mesh);
 
-const char *PyImage_set_aspect__doc__ =
-    "set_aspect(scheme)\n"
-    "\n"
-    "Set the aspect ratio to one of the image module constant."
-    "eg, one of image.ASPECT_PRESERVE, image.ASPECT_FREE";
+    auto output_mesh_array =
+        py::array_t<double, py::array::c_style | py::array::forcecast>(output_mesh);
 
-static PyObject *PyImage_set_aspect(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    int scheme;
-    if (!PyArg_ParseTuple(args, "i:set_aspect", &scheme)) {
-        return NULL;
+    if (output_mesh_array.ndim() != 2) {
+        throw std::runtime_error(
+            "Inverse transformed mesh array should be 2D not {}D"_s.format(
+                output_mesh_array.ndim()));
     }
 
-    self->x->aspect = scheme;
-
-    Py_RETURN_NONE;
+    return output_mesh_array;
 }
 
-const char *PyImage_get_size__doc__ =
-    "numrows, numcols = get_size()\n"
-    "\n"
-    "Get the number or rows and columns of the input image";
 
-static PyObject *PyImage_get_size(PyImage *self, PyObject *args, PyObject *kwds)
+// Using generic py::array for input and output arrays rather than the more usual
+// py::array_t<type> as this function supports multiple array dtypes.
+static void
+image_resample(py::array input_array,
+               py::array& output_array,
+               const py::object& transform,
+               interpolation_e interpolation,
+               bool resample_,  // Avoid name clash with resample() function
+               float alpha,
+               bool norm,
+               float radius)
 {
-    return Py_BuildValue("ii", self->x->rowsIn, self->x->colsIn);
-}
-
-const char *PyImage_get_resample__doc__ =
-    "get_resample()\n"
-    "\n"
-    "Get the resample flag.";
+    // Validate input_array
+    auto dtype = input_array.dtype();  // Validated when determine resampler below
+    auto ndim = input_array.ndim();
 
-static PyObject *PyImage_get_resample(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    if (self->x->resample) {
-        Py_RETURN_TRUE;
+    if (ndim != 2 && ndim != 3) {
+        throw std::invalid_argument("Input array must be a 2D or 3D array");
     }
-    Py_RETURN_FALSE;
-}
-
-const char *PyImage_set_resample__doc__ =
-    "set_resample(boolean)\n"
-    "\n"
-    "Set the resample flag.";
-
-static PyObject *PyImage_set_resample(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    int resample;
 
-    if (!PyArg_ParseTuple(args, "i:set_resample", &resample)) {
-        return NULL;
+    if (ndim == 3 && input_array.shape(2) != 4) {
+        throw std::invalid_argument(
+            "3D input array must be RGBA with shape (M, N, 4), has trailing dimension of {}"_s.format(
+                input_array.shape(2)));
     }
 
-    self->x->resample = resample;
+    // Ensure input array is contiguous, regardless of dtype
+    input_array = py::array::ensure(input_array, py::array::c_style);
 
-    Py_RETURN_NONE;
-}
-
-const char *PyImage_get_size_out__doc__ =
-    "numrows, numcols = get_size_out()\n"
-    "\n"
-    "Get the number or rows and columns of the output image";
+    // Validate output array
+    auto out_ndim = output_array.ndim();
 
-static PyObject *PyImage_get_size_out(PyImage *self, PyObject *args, PyObject *kwds)
-{
-    return Py_BuildValue("ii", self->x->rowsOut, self->x->colsOut);
-}
-
-static int PyImage_get_buffer(PyImage *self, Py_buffer *buf, int flags)
-{
-    Image *im = self->x;
-
-    Py_INCREF(self);
-    buf->obj = (PyObject *)self;
-    buf->buf = im->bufferOut;
-    buf->len = im->colsOut * im->rowsOut * 4;
-    buf->readonly = 0;
-    buf->format = (char *)"B";
-    buf->ndim = 3;
-    self->shape[0] = im->rowsOut;
-    self->shape[1] = im->colsOut;
-    self->shape[2] = 4;
-    buf->shape = self->shape;
-    self->strides[0] = im->colsOut * 4;
-    self->strides[1] = 4;
-    self->strides[2] = 1;
-    buf->strides = self->strides;
-    buf->suboffsets = NULL;
-    buf->itemsize = 1;
-    buf->internal = NULL;
-
-    return 1;
-}
-
-static PyTypeObject *PyImage_init_type(PyObject *m, PyTypeObject *type)
-{
-    static PyMethodDef methods[] = {
-        {"apply_rotation", (PyCFunction)PyImage_apply_rotation, METH_VARARGS, PyImage_apply_rotation__doc__},
-        {"set_bg", (PyCFunction)PyImage_set_bg, METH_VARARGS, PyImage_set_bg__doc__},
-        {"apply_scaling", (PyCFunction)PyImage_apply_scaling, METH_VARARGS, PyImage_apply_scaling__doc__},
-        {"apply_translation", (PyCFunction)PyImage_apply_translation, METH_VARARGS, PyImage_apply_translation__doc__},
-        {"as_rgba_str", (PyCFunction)PyImage_as_rgba_str, METH_NOARGS, PyImage_as_rgba_str__doc__},
-        {"color_conv", (PyCFunction)PyImage_color_conv, METH_VARARGS, PyImage_color_conv__doc__},
-        {"buffer_rgba", (PyCFunction)PyImage_buffer_rgba, METH_NOARGS, PyImage_buffer_rgba__doc__},
-        {"reset_matrix", (PyCFunction)PyImage_reset_matrix, METH_NOARGS, PyImage_reset_matrix__doc__},
-        {"get_matrix", (PyCFunction)PyImage_get_matrix, METH_NOARGS, PyImage_get_matrix__doc__},
-        {"resize", (PyCFunction)PyImage_resize, METH_VARARGS|METH_KEYWORDS, PyImage_resize__doc__},
-        {"get_interpolation", (PyCFunction)PyImage_get_interpolation, METH_NOARGS, PyImage_get_interpolation__doc__},
-        {"set_interpolation", (PyCFunction)PyImage_set_interpolation, METH_VARARGS, PyImage_set_interpolation__doc__},
-        {"get_aspect", (PyCFunction)PyImage_get_aspect, METH_NOARGS, PyImage_get_aspect__doc__},
-        {"set_aspect", (PyCFunction)PyImage_set_aspect, METH_VARARGS, PyImage_set_aspect__doc__},
-        {"get_size", (PyCFunction)PyImage_get_size, METH_NOARGS, PyImage_get_size__doc__},
-        {"get_resample", (PyCFunction)PyImage_get_resample, METH_VARARGS, PyImage_get_resample__doc__},
-        {"set_resample", (PyCFunction)PyImage_set_resample, METH_VARARGS, PyImage_set_resample__doc__},
-        {"get_size_out", (PyCFunction)PyImage_get_size_out, METH_VARARGS, PyImage_get_size_out__doc__},
-        {NULL}
-    };
-
-    static PyBufferProcs buffer_procs;
-    memset(&buffer_procs, 0, sizeof(PyBufferProcs));
-    buffer_procs.bf_getbuffer = (getbufferproc)PyImage_get_buffer;
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib._image.Image";
-    type->tp_basicsize = sizeof(PyImage);
-    type->tp_dealloc = (destructor)PyImage_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;
-    type->tp_methods = methods;
-    type->tp_new = PyImage_new;
-    type->tp_init = (initproc)PyImage_init;
-    type->tp_as_buffer = &buffer_procs;
-    type->tp_dictoffset = offsetof(PyImage, dict);
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
+    if (out_ndim != ndim) {
+        throw std::invalid_argument(
+            "Input ({}D) and output ({}D) arrays have different dimensionalities"_s.format(
+                ndim, out_ndim));
     }
 
-    if (PyModule_AddObject(m, "Image", (PyObject *)type)) {
-        return NULL;
+    if (out_ndim == 3 && output_array.shape(2) != 4) {
+        throw std::invalid_argument(
+            "3D output array must be RGBA with shape (M, N, 4), has trailing dimension of {}"_s.format(
+                output_array.shape(2)));
     }
 
-    return type;
-}
-
-/**********************************************************************
- * Free functions
- * */
-
-const char *image_from_images__doc__ =
-    "from_images(numrows, numcols, seq)\n"
-    "\n"
-    "return an image instance with numrows, numcols from a seq of image\n"
-    "instances using alpha blending.  seq is a list of (Image, ox, oy)";
-
-static PyObject *image_from_images(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    unsigned int numrows;
-    unsigned int numcols;
-    PyObject *images;
-    size_t numimages;
-
-    if (!PyArg_ParseTuple(args, "IIO:from_images", &numrows, &numcols, &images)) {
-        return NULL;
+    if (!output_array.dtype().is(dtype)) {
+        throw std::invalid_argument("Input and output arrays have mismatched types");
     }
 
-    if (!PySequence_Check(images)) {
-        return NULL;
+    if ((output_array.flags() & py::array::c_style) == 0) {
+        throw std::invalid_argument("Output array must be C-contiguous");
     }
 
-    Image *im = new Image(numrows, numcols, true);
-    im->clear();
-
-    numimages = PySequence_Size(images);
-
-    for (size_t i = 0; i < numimages; ++i) {
-        PyObject *entry = PySequence_GetItem(images, i);
-        if (entry == NULL) {
-            delete im;
-            return NULL;
-        }
-
-        PyObject *subimage;
-        unsigned int x;
-        unsigned int y;
-        PyObject *alphaobj = NULL;
-        double alpha = 0.0;
-
-        if (!PyArg_ParseTuple(entry, "O!II|O", &PyImageType, &subimage, &x, &y, &alphaobj)) {
-            Py_DECREF(entry);
-            delete im;
-            return NULL;
-        }
-
-        bool has_alpha = false;
-        if (alphaobj != NULL && alphaobj != Py_None) {
-            has_alpha = true;
-            alpha = PyFloat_AsDouble(alphaobj);
-            if (PyErr_Occurred()) {
-                Py_DECREF(entry);
-                delete im;
-                return NULL;
-            }
-        }
-
-        CALL_CPP("from_images",
-                 (im->blend_image(*((PyImage *)subimage)->x, x, y, has_alpha, alpha)));
-
-        Py_DECREF(entry);
+    if (!output_array.writeable()) {
+        throw std::invalid_argument("Output array must be writeable");
     }
 
-    return PyImage_cnew(im);
-}
-
-const char *image_fromarray__doc__ =
-    "fromarray(A, isoutput)\n"
-    "\n"
-    "Load the image from a numpy array\n"
-    "By default this function fills the input buffer, which can subsequently\n"
-    "be resampled using resize.  If isoutput=1, fill the output buffer.\n"
-    "This is used to support raw pixel images w/o resampling\n";
-
-static PyObject *image_fromarray(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *array;
-    int isoutput;
-    const char *names[] = { "array", "isoutput", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "O|i:fromarray", (char **)names, &array, &isoutput)) {
-        return NULL;
-    }
+    resample_params_t params;
+    params.interpolation = interpolation;
+    params.transform_mesh = nullptr;
+    params.resample = resample_;
+    params.norm = norm;
+    params.radius = radius;
+    params.alpha = alpha;
 
-    numpy::array_view<const double, 3> color_array;
-    numpy::array_view<const double, 2> grey_array;
-    Image *result = NULL;
+    // Only used if transform is not affine.
+    // Need to keep it in scope for the duration of this function.
+    py::array_t<double> transform_mesh;
 
-    if (color_array.converter(array, &color_array)) {
-        CALL_CPP("fromarray", result = from_color_array(color_array, isoutput));
-    } else if (grey_array.converter(array, &grey_array)) {
-        CALL_CPP("fromarray", result = from_grey_array(grey_array, isoutput));
+    // Validate transform
+    if (transform.is_none()) {
+        params.is_affine = true;
     } else {
-        PyErr_SetString(PyExc_ValueError, "invalid array");
-        return NULL;
-    }
-
-    return PyImage_cnew(result);
-}
-
-const char *image_frombyte__doc__ =
-    "frombyte(A, isoutput)\n"
-    "\n"
-    "Load the image from a byte array.\n"
-    "By default this function fills the input buffer, which can subsequently\n"
-    "be resampled using resize.  If isoutput=1, fill the output buffer.\n"
-    "This is used to support raw pixel images w/o resampling.";
-
-static PyObject *image_frombyte(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<const uint8_t, 3> array;
-    int isoutput;
-    const char *names[] = { "array", "isoutput", NULL };
-    Image *result;
-
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-                                     "O&|i:frombyte",
-                                     (char **)names,
-                                     &array.converter,
-                                     &array,
-                                     &isoutput)) {
-        return NULL;
-    }
-
-    CALL_CPP("frombyte", (result = frombyte(array, isoutput)));
-
-    return PyImage_cnew(result);
-}
-
-const char *image_frombuffer__doc__ =
-    "frombuffer(buffer, width, height, isoutput)\n"
-    "\n"
-    "Load the image from a character buffer\n"
-    "By default this function fills the input buffer, which can subsequently\n"
-    "be resampled using resize.  If isoutput=1, fill the output buffer.\n"
-    "This is used to support raw pixel images w/o resampling.";
-
-static PyObject *image_frombuffer(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *buffer;
-    unsigned x;
-    unsigned y;
-    int isoutput;
-    const char *names[] = { "buffer", "x", "y", "isoutput", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "OII|i:frombuffer", (char **)names, &buffer, &x, &y, &isoutput)) {
-        return NULL;
-    }
-
-    const void *rawbuf;
-    Py_ssize_t buflen;
-    if (PyObject_AsReadBuffer(buffer, &rawbuf, &buflen) != 0) {
-        return NULL;
-    }
-
-    if (buflen != (Py_ssize_t)(y * x * 4)) {
-        PyErr_SetString(PyExc_ValueError, "Buffer is incorrect length");
-        return NULL;
+        // Raises Python AttributeError if no such attribute or TypeError if cast fails
+        bool is_affine = py::cast<bool>(transform.attr("is_affine"));
+
+        if (is_affine) {
+            convert_trans_affine(transform, params.affine);
+            params.is_affine = true;
+        } else {
+            transform_mesh = _get_transform_mesh(transform, output_array.shape());
+            params.transform_mesh = transform_mesh.data();
+            params.is_affine = false;
+        }
     }
 
-    Image *im;
-    CALL_CPP("frombuffer", (im = new Image(y, x, isoutput)));
-
-    agg::int8u *inbuf = (agg::int8u *)rawbuf;
-    agg::int8u *outbuf;
-    if (isoutput) {
-        outbuf = im->bufferOut;
+    if (auto resampler =
+            (ndim == 2) ? (
+                (dtype.equal(py::dtype::of<std::uint8_t>())) ? resample<agg::gray8> :
+                (dtype.equal(py::dtype::of<std::int8_t>())) ? resample<agg::gray8> :
+                (dtype.equal(py::dtype::of<std::uint16_t>())) ? resample<agg::gray16> :
+                (dtype.equal(py::dtype::of<std::int16_t>())) ? resample<agg::gray16> :
+                (dtype.equal(py::dtype::of<float>())) ? resample<agg::gray32> :
+                (dtype.equal(py::dtype::of<double>())) ? resample<agg::gray64> :
+                nullptr) : (
+            // ndim == 3
+                (dtype.equal(py::dtype::of<std::uint8_t>())) ? resample<agg::rgba8> :
+                (dtype.equal(py::dtype::of<std::int8_t>())) ? resample<agg::rgba8> :
+                (dtype.equal(py::dtype::of<std::uint16_t>())) ? resample<agg::rgba16> :
+                (dtype.equal(py::dtype::of<std::int16_t>())) ? resample<agg::rgba16> :
+                (dtype.equal(py::dtype::of<float>())) ? resample<agg::rgba32> :
+                (dtype.equal(py::dtype::of<double>())) ? resample<agg::rgba64> :
+                nullptr)) {
+        Py_BEGIN_ALLOW_THREADS
+        resampler(
+            input_array.data(), input_array.shape(1), input_array.shape(0),
+            output_array.mutable_data(), output_array.shape(1), output_array.shape(0),
+            params);
+        Py_END_ALLOW_THREADS
     } else {
-        outbuf = im->bufferIn;
-    }
-
-    for (int i = (x * 4) * (y - 1); i >= 0; i -= (x * 4)) {
-        memmove(outbuf, &inbuf[i], (x * 4));
-        outbuf += x * 4;
-    }
-
-    return PyImage_cnew(im);
-}
-
-const char *image_pcolor__doc__ =
-    "pcolor(x, y, data, rows, cols, bounds)\n"
-    "\n"
-    "Generate a pseudo-color image from data on a non-uniform grid using\n"
-    "nearest neighbour or linear interpolation.\n"
-    "bounds = (x_min, x_max, y_min, y_max)\n"
-    "interpolation = NEAREST or BILINEAR \n";
-
-static PyObject *image_pcolor(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<const float, 1> x;
-    numpy::array_view<const float, 1> y;
-    numpy::array_view<const agg::int8u, 3> d;
-    unsigned int rows;
-    unsigned int cols;
-    float bounds[4];
-    int interpolation;
-    Image *result;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&II(ffff)i:pcolor",
-                          &x.converter,
-                          &x,
-                          &y.converter,
-                          &y,
-                          &d.converter_contiguous,
-                          &d,
-                          &rows,
-                          &cols,
-                          &bounds[0],
-                          &bounds[1],
-                          &bounds[2],
-                          &bounds[3],
-                          &interpolation)) {
-        return NULL;
-    }
-
-    CALL_CPP("pcolor", (result = pcolor(x, y, d, rows, cols, bounds, interpolation)));
-
-    return PyImage_cnew(result);
-}
-
-const char *image_pcolor2__doc__ =
-    "pcolor2(x, y, data, rows, cols, bounds, bg)\n"
-    "\n"
-    "Generate a pseudo-color image from data on a non-uniform grid\n"
-    "specified by its cell boundaries.\n"
-    "bounds = (x_left, x_right, y_bot, y_top)\n"
-    "bg = ndarray of 4 uint8 representing background rgba\n";
-
-static PyObject *image_pcolor2(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<const double, 1> x;
-    numpy::array_view<const double, 1> y;
-    numpy::array_view<const agg::int8u, 3> d;
-    unsigned int rows;
-    unsigned int cols;
-    float bounds[4];
-    numpy::array_view<const agg::int8u, 1> bg;
-    Image *result;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&II(ffff)O&:pcolor2",
-                          &x.converter,
-                          &x,
-                          &y.converter,
-                          &y,
-                          &d.converter_contiguous,
-                          &d,
-                          &rows,
-                          &cols,
-                          &bounds[0],
-                          &bounds[1],
-                          &bounds[2],
-                          &bounds[3],
-                          &bg.converter,
-                          &bg)) {
-        return NULL;
-    }
-
-    CALL_CPP("pcolor2", (result = pcolor2(x, y, d, rows, cols, bounds, bg)));
-
-    return PyImage_cnew(result);
-}
-
-static PyMethodDef module_functions[] = {
-    {"from_images", (PyCFunction)image_from_images, METH_VARARGS, image_from_images__doc__},
-    {"fromarray", (PyCFunction)image_fromarray, METH_VARARGS|METH_KEYWORDS, image_fromarray__doc__},
-    {"frombyte", (PyCFunction)image_frombyte, METH_VARARGS|METH_KEYWORDS, image_frombyte__doc__},
-    {"frombuffer", (PyCFunction)image_frombuffer, METH_VARARGS|METH_KEYWORDS, image_frombuffer__doc__},
-    {"pcolor", (PyCFunction)image_pcolor, METH_VARARGS, image_pcolor__doc__},
-    {"pcolor2", (PyCFunction)image_pcolor2, METH_VARARGS, image_pcolor2__doc__},
-    {NULL}
-};
-
-extern "C" {
-
-struct module_state
-{
-    int _dummy;
-};
-
-#if PY3K
-static struct PyModuleDef moduledef = {
-    PyModuleDef_HEAD_INIT,
-    "_image",
-    NULL,
-    sizeof(struct module_state),
-    module_functions,
-    NULL,
-    NULL,
-    NULL,
-    NULL
-};
-
-#define INITERROR return NULL
-
-PyMODINIT_FUNC PyInit__image(void)
-
-#else
-#define INITERROR return
-
-PyMODINIT_FUNC init_image(void)
-#endif
-
-{
-    PyObject *m;
-
-#if PY3K
-    m = PyModule_Create(&moduledef);
-#else
-    m = Py_InitModule3("_image", module_functions, NULL);
-#endif
-
-    if (m == NULL) {
-        INITERROR;
-    }
-
-    if (!PyImage_init_type(m, &PyImageType)) {
-        INITERROR;
-    }
-
-    PyObject *d = PyModule_GetDict(m);
-
-    if (add_dict_int(d, "NEAREST", Image::NEAREST) ||
-        add_dict_int(d, "BILINEAR", Image::BILINEAR) ||
-        add_dict_int(d, "BICUBIC", Image::BICUBIC) ||
-        add_dict_int(d, "SPLINE16", Image::SPLINE16) ||
-        add_dict_int(d, "SPLINE36", Image::SPLINE36) ||
-        add_dict_int(d, "HANNING", Image::HANNING) ||
-        add_dict_int(d, "HAMMING", Image::HAMMING) ||
-        add_dict_int(d, "HERMITE", Image::HERMITE) ||
-        add_dict_int(d, "KAISER", Image::KAISER) ||
-        add_dict_int(d, "QUADRIC", Image::QUADRIC) ||
-        add_dict_int(d, "CATROM", Image::CATROM) ||
-        add_dict_int(d, "GAUSSIAN", Image::GAUSSIAN) ||
-        add_dict_int(d, "BESSEL", Image::BESSEL) ||
-        add_dict_int(d, "MITCHELL", Image::MITCHELL) ||
-        add_dict_int(d, "SINC", Image::SINC) ||
-        add_dict_int(d, "LANCZOS", Image::LANCZOS) ||
-        add_dict_int(d, "BLACKMAN", Image::BLACKMAN) ||
-
-        add_dict_int(d, "ASPECT_FREE", Image::ASPECT_FREE) ||
-        add_dict_int(d, "ASPECT_PRESERVE", Image::ASPECT_PRESERVE)) {
-        INITERROR;
-    }
-
-    import_array();
-
-#if PY3K
-    return m;
-#endif
+        throw std::invalid_argument("arrays must be of dtype byte, short, float32 or float64");
+    }
+}
+
+
+PYBIND11_MODULE(_image, m, py::mod_gil_not_used())
+{
+    py::enum_<interpolation_e>(m, "_InterpolationType")
+        .value("NEAREST", NEAREST)
+        .value("BILINEAR", BILINEAR)
+        .value("BICUBIC", BICUBIC)
+        .value("SPLINE16", SPLINE16)
+        .value("SPLINE36", SPLINE36)
+        .value("HANNING", HANNING)
+        .value("HAMMING", HAMMING)
+        .value("HERMITE", HERMITE)
+        .value("KAISER", KAISER)
+        .value("QUADRIC", QUADRIC)
+        .value("CATROM", CATROM)
+        .value("GAUSSIAN", GAUSSIAN)
+        .value("BESSEL", BESSEL)
+        .value("MITCHELL", MITCHELL)
+        .value("SINC", SINC)
+        .value("LANCZOS", LANCZOS)
+        .value("BLACKMAN", BLACKMAN)
+        .export_values();
+
+    m.def("resample", &image_resample,
+        "input_array"_a,
+        "output_array"_a,
+        "transform"_a,
+        "interpolation"_a = interpolation_e::NEAREST,
+        "resample"_a = false,
+        "alpha"_a = 1,
+        "norm"_a = false,
+        "radius"_a = 1,
+        image_resample__doc__);
 }
-
-} // extern "C"
diff --git a/src/_macosx.m b/src/_macosx.m
old mode 100644
new mode 100755
index a5775789e173..aa2a6e68cda5
--- a/src/_macosx.m
+++ b/src/_macosx.m
@@ -1,370 +1,131 @@
+#define PY_SSIZE_T_CLEAN
 #include <Cocoa/Cocoa.h>
 #include <ApplicationServices/ApplicationServices.h>
-#include <sys/socket.h>
 #include <Python.h>
-#include "numpy/arrayobject.h"
-#include "path_cleanup.h"
-
-#if PY_MAJOR_VERSION >= 3
-#define PY3K 1
-#else
-#define PY3K 0
-#endif
-
-#if (PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION >=3)
-#define PY33 1
-#else
-#define PY33 0
-#endif
-
-/* Must define Py_TYPE for Python 2.5 or older */
-#ifndef Py_TYPE
-# define Py_TYPE(o) ((o)->ob_type)
-#endif
-
-/* Must define PyVarObject_HEAD_INIT for Python 2.5 or older */
-#ifndef PyVarObject_HEAD_INIT
-#define PyVarObject_HEAD_INIT(type, size)       \
-        PyObject_HEAD_INIT(type) size,
-#endif
 
 /* Proper way to check for the OS X version we are compiling for, from
-   http://developer.apple.com/documentation/DeveloperTools/Conceptual/cross_development */
-#if __MAC_OS_X_VERSION_MIN_REQUIRED >= 1050
-#define COMPILING_FOR_10_5
-#endif
-#if __MAC_OS_X_VERSION_MIN_REQUIRED >= 1060
-#define COMPILING_FOR_10_6
-#endif
-
-static int nwin = 0;   /* The number of open windows */
-
-/* Use Atsui for Mac OS X 10.4, CoreText for Mac OS X 10.5 */
-#ifndef COMPILING_FOR_10_5
-static int ngc = 0;    /* The number of graphics contexts in use */
-
-
-/* For drawing Unicode strings with ATSUI */
-static ATSUStyle style = NULL;
-static ATSUTextLayout layout = NULL;
-#endif
-
-/* CGFloat was defined in Mac OS X 10.5 */
-#ifndef CGFLOAT_DEFINED
-#define CGFloat float
+ * https://developer.apple.com/library/archive/documentation/DeveloperTools/Conceptual/cross_development/Using/using.html
+
+ * Renamed symbols cause deprecation warnings, so define macros for the new
+ * names if we are compiling on an older SDK */
+#if __MAC_OS_X_VERSION_MIN_REQUIRED < 101400
+#define NSButtonTypeMomentaryLight           NSMomentaryLightButton
+#define NSButtonTypePushOnPushOff            NSPushOnPushOffButton
+#define NSBezelStyleShadowlessSquare         NSShadowlessSquareBezelStyle
+#define CGContext                            graphicsPort
 #endif
 
 
 /* Various NSApplicationDefined event subtypes */
-#define STDIN_READY 0
-#define SIGINT_CALLED 1
 #define STOP_EVENT_LOOP 2
 #define WINDOW_CLOSING 3
 
-/* Path definitions */
-#define STOP      0
-#define MOVETO    1
-#define LINETO    2
-#define CURVE3    3
-#define CURVE4    4
-#define CLOSEPOLY 0x4f
-
-/* Hatching */
-#define HATCH_SIZE 72
-
-/* -------------------------- Helper function ---------------------------- */
-
-static void stdin_ready(CFReadStreamRef readStream, CFStreamEventType eventType, void* context)
-{
-    NSEvent* event = [NSEvent otherEventWithType: NSApplicationDefined
-                                        location: NSZeroPoint
-                                   modifierFlags: 0
-                                       timestamp: 0.0
-                                    windowNumber: 0
-                                         context: nil
-                                         subtype: STDIN_READY
-                                           data1: 0
-                                           data2: 0];
-    [NSApp postEvent: event atStart: true];
-}
-
-static int sigint_fd = -1;
-
-static void _sigint_handler(int sig)
-{
-    const char c = 'i';
-    write(sigint_fd, &c, 1);
-}
-
-static void _callback(CFSocketRef s,
-                      CFSocketCallBackType type,
-                      CFDataRef address,
-                      const void * data,
-                      void *info)
-{
-    char c;
-    CFSocketNativeHandle handle = CFSocketGetNative(s);
-    read(handle, &c, 1);
-    NSEvent* event = [NSEvent otherEventWithType: NSApplicationDefined
-                                        location: NSZeroPoint
-                                   modifierFlags: 0
-                                       timestamp: 0.0
-                                    windowNumber: 0
-                                         context: nil
-                                         subtype: SIGINT_CALLED
-                                           data1: 0
-                                           data2: 0];
-    [NSApp postEvent: event atStart: true];
-}
-
-static int wait_for_stdin(void)
-{
-    const UInt8 buffer[] = "/dev/fd/0";
-    const CFIndex n = (CFIndex)strlen((char*)buffer);
-    CFRunLoopRef runloop = CFRunLoopGetCurrent();
-    CFURLRef url = CFURLCreateFromFileSystemRepresentation(kCFAllocatorDefault,
-                                                           buffer,
-                                                           n,
-                                                           false);
-    CFReadStreamRef stream = CFReadStreamCreateWithFile(kCFAllocatorDefault,
-                                                        url);
-    CFRelease(url);
-
-    CFReadStreamOpen(stream);
-    if (!CFReadStreamHasBytesAvailable(stream))
-    /* This is possible because of how PyOS_InputHook is called from Python */
-    {
-        int error;
-        int interrupted = 0;
-        int channel[2];
-        CFSocketRef sigint_socket = NULL;
-        PyOS_sighandler_t py_sigint_handler = NULL;
-        CFStreamClientContext clientContext = {0, NULL, NULL, NULL, NULL};
-        CFReadStreamSetClient(stream,
-                              kCFStreamEventHasBytesAvailable,
-                              stdin_ready,
-                              &clientContext);
-        CFReadStreamScheduleWithRunLoop(stream, runloop, kCFRunLoopCommonModes);
-        error = pipe(channel);
-        if (error==0)
-        {
-            fcntl(channel[1], F_SETFL, O_WRONLY | O_NONBLOCK);
-
-            sigint_socket = CFSocketCreateWithNative(kCFAllocatorDefault,
-                                                     channel[0],
-                                                     kCFSocketReadCallBack,
-                                                     _callback,
-                                                     NULL);
-            if (sigint_socket)
-            {
-                CFRunLoopSourceRef source;
-                source = CFSocketCreateRunLoopSource(kCFAllocatorDefault,
-                                                     sigint_socket,
-                                                     0);
-                CFRelease(sigint_socket);
-                if (source)
-                {
-                    CFRunLoopAddSource(runloop, source, kCFRunLoopDefaultMode);
-                    CFRelease(source);
-                    sigint_fd = channel[1];
-                    py_sigint_handler = PyOS_setsig(SIGINT, _sigint_handler);
-                }
-            }
-            else
-                close(channel[0]);
-        }
 
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        NSDate* date = [NSDate distantFuture];
-        while (true)
-        {   NSEvent* event = [NSApp nextEventMatchingMask: NSAnyEventMask
-                                                untilDate: date
-                                                   inMode: NSDefaultRunLoopMode
-                                                  dequeue: YES];
-           if (!event) break; /* No windows open */
-           if ([event type]==NSApplicationDefined)
-           {   short subtype = [event subtype];
-               if (subtype==STDIN_READY) break;
-               if (subtype==SIGINT_CALLED)
-               {   interrupted = true;
-                   break;
-               }
-           }
-           [NSApp sendEvent: event];
+/* Keep track of number of windows present
+   Needed to know when to stop the NSApp */
+static long FigureWindowCount = 0;
+
+/* Keep track of modifier key states for flagsChanged
+   to keep track of press vs release */
+static bool lastCommand = false;
+static bool lastControl = false;
+static bool lastShift = false;
+static bool lastOption = false;
+static bool lastCapsLock = false;
+/* Keep track of whether this specific key modifier was pressed or not */
+static bool keyChangeCommand = false;
+static bool keyChangeControl = false;
+static bool keyChangeShift = false;
+static bool keyChangeOption = false;
+static bool keyChangeCapsLock = false;
+/* Keep track of the current mouse up/down state for open/closed cursor hand */
+static bool leftMouseGrabbing = false;
+// Global variable to store the original SIGINT handler
+static PyOS_sighandler_t originalSigintAction = NULL;
+
+// Stop the current app's run loop, sending an event to ensure it actually stops
+static void stopWithEvent() {
+    [NSApp stop: nil];
+    // Post an event to trigger the actual stopping.
+    [NSApp postEvent: [NSEvent otherEventWithType: NSEventTypeApplicationDefined
+                                         location: NSZeroPoint
+                                    modifierFlags: 0
+                                        timestamp: 0
+                                     windowNumber: 0
+                                          context: nil
+                                          subtype: 0
+                                            data1: 0
+                                            data2: 0]
+             atStart: YES];
+}
+
+// Signal handler for SIGINT, only argument matching for stopWithEvent
+static void handleSigint(int signal) {
+    stopWithEvent();
+}
+
+// Helper function to flush all events.
+// This is needed in some instances to ensure e.g. that windows are properly closed.
+// It is used in the input hook as well as wrapped in a version callable from Python.
+static void flushEvents() {
+    while (true) {
+        NSEvent* event = [NSApp nextEventMatchingMask: NSEventMaskAny
+                                            untilDate: [NSDate distantPast]
+                                               inMode: NSDefaultRunLoopMode
+                                              dequeue: YES];
+        if (!event) {
+            break;
         }
-        [pool release];
-
-        if (py_sigint_handler) PyOS_setsig(SIGINT, py_sigint_handler);
-        CFReadStreamUnscheduleFromRunLoop(stream,
-                                          runloop,
-                                          kCFRunLoopCommonModes);
-        if (sigint_socket) CFSocketInvalidate(sigint_socket);
-        if (error==0) close(channel[1]);
-        if (interrupted) raise(SIGINT);
+        [NSApp sendEvent:event];
     }
-    CFReadStreamClose(stream);
-    CFRelease(stream);
-    return 1;
 }
 
-#ifndef COMPILING_FOR_10_5
-static int _init_atsui(void)
-{
-    OSStatus status;
-
-    status = ATSUCreateStyle(&style);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUCreateStyle failed");
-        return 0;
+static int wait_for_stdin() {
+    // Short circuit if no windows are active
+    // Rely on Python's input handling to manage CPU usage
+    // This queries the NSApp, rather than using our FigureWindowCount because that is decremented when events still
+    // need to be processed to properly close the windows.
+    if (![[NSApp windows] count]) {
+      flushEvents();
+      return 1;
     }
 
-    status = ATSUCreateTextLayout(&layout);
-    if (status!=noErr)
-    {
-        status = ATSUDisposeStyle(style);
-        if (status!=noErr)
-            PyErr_WarnEx(PyExc_RuntimeWarning, "ATSUDisposeStyle failed", 1);
-        PyErr_SetString(PyExc_RuntimeError, "ATSUCreateTextLayout failed");
-        return 0;
-    }
+    @autoreleasepool {
+        // Set up a SIGINT handler to interrupt the event loop if ctrl+c comes in too
+        originalSigintAction = PyOS_setsig(SIGINT, handleSigint);
 
+        // Create an NSFileHandle for standard input
+        NSFileHandle *stdinHandle = [NSFileHandle fileHandleWithStandardInput];
 
-    return 1;
-}
 
-static void _dealloc_atsui(void)
-{
-    OSStatus status;
+        // Register for data available notifications on standard input
+        id notificationID = [[NSNotificationCenter defaultCenter] addObserverForName: NSFileHandleDataAvailableNotification
+                                                                              object: stdinHandle
+                                                                               queue: [NSOperationQueue mainQueue] // Use the main queue
+                                                                          usingBlock: ^(NSNotification *notification) {stopWithEvent();}
+        ];
 
-    status = ATSUDisposeStyle(style);
-    if (status!=noErr)
-        PyErr_WarnEx(PyExc_RuntimeWarning, "ATSUDisposeStyle failed", 1);
+        // Wait in the background for anything that happens to stdin
+        [stdinHandle waitForDataInBackgroundAndNotify];
 
-    status = ATSUDisposeTextLayout(layout);
-    if (status!=noErr)
-        PyErr_WarnEx(PyExc_RuntimeWarning, "ATSUDisposeTextLayout failed", 1);
-}
-#endif
+        // Run the application's event loop, which will be interrupted on stdin or SIGINT
+        [NSApp run];
 
-static int _draw_path(CGContextRef cr, void* iterator, int nmax)
-{
-    double x1, y1, x2, y2;
-    static unsigned code = STOP;
-    static double xs, ys;
-    CGPoint current;
-    int n = 0;
+        // Remove the input handler as an observer
+        [[NSNotificationCenter defaultCenter] removeObserver: notificationID];
 
-    if (code == MOVETO) CGContextMoveToPoint(cr, xs, ys);
 
-    while (true)
-    {
-        code = get_vertex(iterator, &x1, &y1);
-        if (code == CLOSEPOLY)
-        {
-            CGContextClosePath(cr);
-            n++;
-        }
-        else if (code == STOP)
-        {
-            break;
-        }
-        else if (code == MOVETO)
-        {
-            CGContextMoveToPoint(cr, x1, y1);
-        }
-        else if (code==LINETO)
-        {
-            CGContextAddLineToPoint(cr, x1, y1);
-            n++;
-        }
-        else if (code==CURVE3)
-        {
-            get_vertex(iterator, &xs, &ys);
-            CGContextAddQuadCurveToPoint(cr, x1, y1, xs, ys);
-            n+=2;
-        }
-        else if (code==CURVE4)
-        {
-            get_vertex(iterator, &x2, &y2);
-            get_vertex(iterator, &xs, &ys);
-            CGContextAddCurveToPoint(cr, x1, y1, x2, y2, xs, ys);
-            n+=3;
-        }
-        if (n >= nmax)
-        {
-            switch (code)
-            {
-                case MOVETO:
-                case LINETO:
-                    xs = x1;
-                    ys = y1;
-                    break;
-                case CLOSEPOLY:
-                    current = CGContextGetPathCurrentPoint(cr);
-                    xs = current.x;
-                    ys = current.y;
-                    break;
-                /* nothing needed for CURVE3, CURVE4 */
-            }
-            code = MOVETO;
-            return -n;
-        }
-    }
-    return n;
-}
+        // Restore the original SIGINT handler upon exiting the function
+        PyOS_setsig(SIGINT, originalSigintAction);
 
-static void _draw_hatch(void *info, CGContextRef cr)
-{
-    int n;
-    PyObject* hatchpath = (PyObject*)info;
-    PyObject* transform;
-    int nd = 2;
-    npy_intp dims[2] = {3, 3};
-    int typenum = NPY_DOUBLE;
-    double data[9] = {HATCH_SIZE, 0, 0, 0, HATCH_SIZE, 0, 0, 0, 1};
-    double rect[4] = { 0.0, 0.0, HATCH_SIZE, HATCH_SIZE};
-    transform = PyArray_SimpleNewFromData(nd, dims, typenum, data);
-    if (!transform)
-    {
-        PyGILState_STATE gstate = PyGILState_Ensure();
-        PyErr_Print();
-        PyGILState_Release(gstate);
-        return;
-    }
-    void* iterator  = get_path_iterator(hatchpath,
-                                        transform,
-                                        0,
-                                        0,
-                                        rect,
-                                        SNAP_FALSE,
-                                        1.0,
-                                        0);
-    Py_DECREF(transform);
-    if (!iterator)
-    {
-        PyGILState_STATE gstate = PyGILState_Ensure();
-        PyErr_SetString(PyExc_RuntimeError, "failed to obtain path iterator for hatching");
-        PyErr_Print();
-        PyGILState_Release(gstate);
-        return;
+        return 1;
     }
-    n = _draw_path(cr, iterator, INT_MAX);
-    free_path_iterator(iterator);
-    if (n==0) return;
-    CGContextSetLineWidth(cr, 1.0);
-    CGContextSetLineCap(cr, kCGLineCapSquare);
-    CGContextDrawPath(cr, kCGPathFillStroke);
-}
-
-static void _release_hatch(void* info)
-{
-    PyObject* hatchpath = (PyObject*)info;
-    Py_DECREF(hatchpath);
 }
 
 /* ---------------------------- Cocoa classes ---------------------------- */
-
+@interface MatplotlibAppDelegate : NSObject <NSApplicationDelegate>
+- (BOOL)applicationSupportsSecureRestorableState:(NSApplication *)app;
+@end
 
 @interface Window : NSWindow
 {   PyObject* manager;
@@ -372,36 +133,22 @@ @interface Window : NSWindow
 - (Window*)initWithContentRect:(NSRect)rect styleMask:(unsigned int)mask backing:(NSBackingStoreType)bufferingType defer:(BOOL)deferCreation withManager: (PyObject*)theManager;
 - (NSRect)constrainFrameRect:(NSRect)rect toScreen:(NSScreen*)screen;
 - (BOOL)closeButtonPressed;
-- (void)close;
-- (void)dealloc;
-@end
-
-@interface ToolWindow : NSWindow
-{
-}
-- (ToolWindow*)initWithContentRect:(NSRect)rect master:(NSWindow*)window;
-- (void)masterCloses:(NSNotification*)notification;
-- (void)close;
 @end
 
-#ifdef COMPILING_FOR_10_6
 @interface View : NSView <NSWindowDelegate>
-#else
-@interface View : NSView
-#endif
 {   PyObject* canvas;
     NSRect rubberband;
-    BOOL inside;
-    NSTrackingRectTag tracking;
+    @public double device_scale;
 }
 - (void)dealloc;
 - (void)drawRect:(NSRect)rect;
+- (void)updateDevicePixelRatio:(double)scale;
+- (void)windowDidChangeBackingProperties:(NSNotification*)notification;
 - (void)windowDidResize:(NSNotification*)notification;
 - (View*)initWithFrame:(NSRect)rect;
 - (void)setCanvas: (PyObject*)newCanvas;
 - (void)windowWillClose:(NSNotification*)notification;
 - (BOOL)windowShouldClose:(NSNotification*)notification;
-- (BOOL)isFlipped;
 - (void)mouseEntered:(NSEvent*)event;
 - (void)mouseExited:(NSEvent*)event;
 - (void)mouseDown:(NSEvent*)event;
@@ -421,3351 +168,353 @@ - (void)keyDown:(NSEvent*)event;
 - (void)keyUp:(NSEvent*)event;
 - (void)scrollWheel:(NSEvent *)event;
 - (BOOL)acceptsFirstResponder;
-//- (void)flagsChanged:(NSEvent*)event;
+- (void)flagsChanged:(NSEvent*)event;
 @end
 
-@interface ScrollableButton : NSButton
+/* ---------------------------- Python classes ---------------------------- */
+
+// Acquire the GIL, call a method with no args, discarding the result and
+// printing any exception.
+static void gil_call_method(PyObject* obj, const char* name)
 {
-    SEL scrollWheelUpAction;
-    SEL scrollWheelDownAction;
+    PyGILState_STATE gstate = PyGILState_Ensure();
+    PyObject* result = PyObject_CallMethod(obj, name, NULL);
+    if (result) {
+        Py_DECREF(result);
+    } else {
+        PyErr_Print();
+    }
+    PyGILState_Release(gstate);
 }
-- (void)setScrollWheelUpAction:(SEL)action;
-- (void)setScrollWheelDownAction:(SEL)action;
-- (void)scrollWheel:(NSEvent *)event;
-@end
 
-@interface MenuItem: NSMenuItem
-{   int index;
+void process_event(char const* cls_name, char const* fmt, ...)
+{
+    PyGILState_STATE gstate = PyGILState_Ensure();
+    PyObject* module = NULL, * cls = NULL,
+            * args = NULL, * kwargs = NULL,
+            * event = NULL, * result = NULL;
+    va_list argp;
+    va_start(argp, fmt);
+    if (!(module = PyImport_ImportModule("matplotlib.backend_bases"))
+        || !(cls = PyObject_GetAttrString(module, cls_name))
+        || !(args = PyTuple_New(0))
+        || !(kwargs = Py_VaBuildValue(fmt, argp))
+        || !(event = PyObject_Call(cls, args, kwargs))
+        || !(result = PyObject_CallMethod(event, "_process", ""))) {
+        PyErr_Print();
+    }
+    va_end(argp);
+    Py_XDECREF(module);
+    Py_XDECREF(cls);
+    Py_XDECREF(args);
+    Py_XDECREF(kwargs);
+    Py_XDECREF(event);
+    Py_XDECREF(result);
+    PyGILState_Release(gstate);
 }
-+ (MenuItem*)menuItemWithTitle:(NSString*)title;
-+ (MenuItem*)menuItemSelectAll;
-+ (MenuItem*)menuItemInvertAll;
-+ (MenuItem*)menuItemForAxis:(int)i;
-- (void)toggle:(id)sender;
-- (void)selectAll:(id)sender;
-- (void)invertAll:(id)sender;
-- (int)index;
-@end
 
-/* ---------------------------- Python classes ---------------------------- */
+static bool backend_inited = false;
 
-typedef struct {
-    PyObject_HEAD
-    CGContextRef cr;
-    NSSize size;
-    int level;
-    BOOL forced_alpha;
-    CGFloat color[4];
-    float dpi;
-} GraphicsContext;
+static void lazy_init(void) {
+    if (backend_inited) { return; }
+    backend_inited = true;
 
-static CGMutablePathRef _create_path(void* iterator)
-{
-    unsigned code;
-    CGMutablePathRef p;
-    double x1, y1, x2, y2, x3, y3;
+    NSApp = [NSApplication sharedApplication];
+    [NSApp setActivationPolicy:NSApplicationActivationPolicyRegular];
+    [NSApp setDelegate: [[[MatplotlibAppDelegate alloc] init] autorelease]];
 
-    p = CGPathCreateMutable();
-    if (!p) return NULL;
+    // Run our own event loop while waiting for stdin on the Python side
+    // this is needed to keep the application responsive while waiting for input
+    PyOS_InputHook = wait_for_stdin;
+}
 
-    while (true)
-    {
-        code = get_vertex(iterator, &x1, &y1);
-        if (code == CLOSEPOLY)
-        {
-            CGPathCloseSubpath(p);
-        }
-        else if (code == STOP)
-        {
-            break;
-        }
-        else if (code == MOVETO)
-        {
-            CGPathMoveToPoint(p, NULL, x1, y1);
-        }
-        else if (code==LINETO)
-        {
-            CGPathAddLineToPoint(p, NULL, x1, y1);
-        }
-        else if (code==CURVE3)
-        {
-            get_vertex(iterator, &x2, &y2);
-            CGPathAddQuadCurveToPoint(p, NULL, x1, y1, x2, y2);
-        }
-        else if (code==CURVE4)
-        {
-            get_vertex(iterator, &x2, &y2);
-            get_vertex(iterator, &x3, &y3);
-            CGPathAddCurveToPoint(p, NULL, x1, y1, x2, y2, x3, y3);
-        }
+static PyObject*
+event_loop_is_running(PyObject* self)
+{
+    if (backend_inited) {
+        Py_RETURN_TRUE;
+    } else {
+        Py_RETURN_FALSE;
     }
+}
 
-    return p;
+static PyObject*
+wake_on_fd_write(PyObject* unused, PyObject* args)
+{
+    int fd;
+    if (!PyArg_ParseTuple(args, "i", &fd)) { return NULL; }
+    NSFileHandle* fh = [[NSFileHandle alloc] initWithFileDescriptor: fd];
+    [fh waitForDataInBackgroundAndNotify];
+    [[NSNotificationCenter defaultCenter]
+        addObserverForName: NSFileHandleDataAvailableNotification
+                    object: fh
+                     queue: nil
+                usingBlock: ^(NSNotification* note) {
+                    PyGILState_STATE gstate = PyGILState_Ensure();
+                    PyErr_CheckSignals();
+                    PyGILState_Release(gstate);
+                }];
+    Py_RETURN_NONE;
 }
 
-static int _get_snap(GraphicsContext* self, enum e_snap_mode* mode)
+static PyObject*
+stop(PyObject* self)
 {
-    PyObject* snap = PyObject_CallMethod((PyObject*)self, "get_snap", "");
-    if(!snap) return 0;
-    if(snap==Py_None) *mode = SNAP_AUTO;
-    else if (PyBool_Check(snap)) *mode = SNAP_TRUE;
-    else *mode = SNAP_FALSE;
-    Py_DECREF(snap);
-    return 1;
+    stopWithEvent();
+    Py_RETURN_NONE;
 }
 
-static PyObject*
-GraphicsContext_new(PyTypeObject* type, PyObject *args, PyObject *kwds)
+static CGFloat _get_device_scale(CGContextRef cr)
 {
-    GraphicsContext* self = (GraphicsContext*)type->tp_alloc(type, 0);
-    if (!self) return NULL;
-    self->cr = NULL;
-    self->level = 0;
-    self->forced_alpha = FALSE;
-
-#ifndef COMPILING_FOR_10_5
-    if (ngc==0)
-    {
-        int ok = _init_atsui();
-        if (!ok)
-        {
-            return NULL;
-        }
-    }
-    ngc++;
-#endif
+    CGSize pixelSize = CGContextConvertSizeToDeviceSpace(cr, CGSizeMake(1, 1));
+    return pixelSize.width;
+}
 
-    return (PyObject*) self;
+bool mpl_check_button(bool present, PyObject* set, char const* name) {
+    PyObject* module = NULL, * cls = NULL, * button = NULL;
+    bool failed = (
+        present
+        && (!(module = PyImport_ImportModule("matplotlib.backend_bases"))
+            || !(cls = PyObject_GetAttrString(module, "MouseButton"))
+            || !(button = PyObject_GetAttrString(cls, name))
+            || PySet_Add(set, button)));
+    Py_XDECREF(module);
+    Py_XDECREF(cls);
+    Py_XDECREF(button);
+    return failed;
 }
 
-#ifndef COMPILING_FOR_10_5
-static void
-GraphicsContext_dealloc(GraphicsContext *self)
+PyObject* mpl_buttons()
 {
-    ngc--;
-    if (ngc==0) _dealloc_atsui();
+    PyGILState_STATE gstate = PyGILState_Ensure();
+    PyObject* set = NULL;
+    NSUInteger buttons = [NSEvent pressedMouseButtons];
 
-    Py_TYPE(self)->tp_free((PyObject*)self);
+    if (!(set = PySet_New(NULL))
+        || mpl_check_button(buttons & (1 << 0), set, "LEFT")
+        || mpl_check_button(buttons & (1 << 1), set, "RIGHT")
+        || mpl_check_button(buttons & (1 << 2), set, "MIDDLE")
+        || mpl_check_button(buttons & (1 << 3), set, "BACK")
+        || mpl_check_button(buttons & (1 << 4), set, "FORWARD")) {
+        Py_CLEAR(set);  // On failure, return NULL with an exception set.
+    }
+    PyGILState_Release(gstate);
+    return set;
 }
-#endif
 
-static PyObject*
-GraphicsContext_repr(GraphicsContext* self)
+bool mpl_check_modifier(bool present, PyObject* list, char const* name)
 {
-#if PY3K
-    return PyUnicode_FromFormat("GraphicsContext object %p wrapping the Quartz 2D graphics context %p", (void*)self, (void*)(self->cr));
-#else
-    return PyString_FromFormat("GraphicsContext object %p wrapping the Quartz 2D graphics context %p", (void*)self, (void*)(self->cr));
-#endif
+    PyObject* py_name = NULL;
+    bool failed = (
+        present
+        && (!(py_name = PyUnicode_FromString(name))
+            || (PyList_Append(list, py_name))));
+    Py_XDECREF(py_name);
+    return failed;
 }
 
-static PyObject*
-GraphicsContext_save (GraphicsContext* self)
+PyObject* mpl_modifiers(NSEvent* event)
 {
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
+    PyGILState_STATE gstate = PyGILState_Ensure();
+    PyObject* list = NULL;
+    NSUInteger modifiers = [event modifierFlags];
+    if (!(list = PyList_New(0))
+        || mpl_check_modifier(modifiers & NSEventModifierFlagControl, list, "ctrl")
+        || mpl_check_modifier(modifiers & NSEventModifierFlagOption, list, "alt")
+        || mpl_check_modifier(modifiers & NSEventModifierFlagShift, list, "shift")
+        || mpl_check_modifier(modifiers & NSEventModifierFlagCommand, list, "cmd")) {
+        Py_CLEAR(list);  // On failure, return NULL with an exception set.
     }
-    CGContextSaveGState(cr);
-    self->level++;
-    Py_INCREF(Py_None);
-    return Py_None;
+    PyGILState_Release(gstate);
+    return list;
 }
 
+typedef struct {
+    PyObject_HEAD
+    View* view;
+} FigureCanvas;
+
+static PyTypeObject FigureCanvasType;
+
 static PyObject*
-GraphicsContext_restore (GraphicsContext* self)
+FigureCanvas_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
 {
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-    if (self->level==0)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-            "Attempting to execute CGContextRestoreGState on an empty stack");
-        return NULL;
-    }
-    CGContextRestoreGState(cr);
-    self->level--;
-    Py_INCREF(Py_None);
-    return Py_None;
+    lazy_init();
+    FigureCanvas *self = (FigureCanvas*)type->tp_alloc(type, 0);
+    if (!self) { return NULL; }
+    self->view = [View alloc];
+    return (PyObject*)self;
 }
 
-static PyObject*
-GraphicsContext_set_alpha (GraphicsContext* self, PyObject* args)
+static int
+FigureCanvas_init(FigureCanvas *self, PyObject *args, PyObject *kwds)
 {
-    float alpha;
-    int forced = 0;
-    if (!PyArg_ParseTuple(args, "f|i", &alpha, &forced)) return NULL;
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
+    if (!self->view) {
+        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
+        return -1;
+    }
+    PyObject *builtins = NULL,
+             *super_obj = NULL,
+             *super_init = NULL,
+             *init_res = NULL,
+             *wh = NULL;
+    // super(FigureCanvasMac, self).__init__(*args, **kwargs)
+    if (!(builtins = PyImport_AddModule("builtins"))  // borrowed.
+            || !(super_obj = PyObject_CallMethod(builtins, "super", "OO", &FigureCanvasType, self))
+            || !(super_init = PyObject_GetAttrString(super_obj, "__init__"))
+            || !(init_res = PyObject_Call(super_init, args, kwds))) {
+        goto exit;
+    }
+    int width, height;
+    if (!(wh = PyObject_CallMethod((PyObject*)self, "get_width_height", ""))
+            || !PyArg_ParseTuple(wh, "ii", &width, &height)) {
+        goto exit;
     }
-    CGContextSetAlpha(cr, alpha);
-    self->forced_alpha = (BOOL)(forced || (alpha != 1.0));
+    NSRect rect = NSMakeRect(0.0, 0.0, width, height);
+    self->view = [self->view initWithFrame: rect];
+    self->view.autoresizingMask = NSViewWidthSizable | NSViewHeightSizable;
+    int opts = (NSTrackingMouseEnteredAndExited | NSTrackingMouseMoved |
+                NSTrackingActiveInKeyWindow | NSTrackingInVisibleRect);
+    [self->view addTrackingArea: [
+        [NSTrackingArea alloc] initWithRect: rect
+                                    options: opts
+                                      owner: self->view
+                                   userInfo: nil]];
+    [self->view setCanvas: (PyObject*)self];
 
-    Py_INCREF(Py_None);
-    return Py_None;
+exit:
+    Py_XDECREF(super_obj);
+    Py_XDECREF(super_init);
+    Py_XDECREF(init_res);
+    Py_XDECREF(wh);
+    return PyErr_Occurred() ? -1 : 0;
 }
 
-static BOOL
-_set_antialiased(CGContextRef cr, PyObject* antialiased)
+static void
+FigureCanvas_dealloc(FigureCanvas* self)
 {
-    const int shouldAntialias = PyObject_IsTrue(antialiased);
-    if (shouldAntialias < 0)
-    {
-        PyErr_SetString(PyExc_ValueError,
-                        "Failed to read antialiaseds variable");
-        return false;
-    }
-    CGContextSetShouldAntialias(cr, shouldAntialias);
-    return true;
+    [self->view setCanvas: NULL];
+    [self->view release];
+    Py_TYPE(self)->tp_free((PyObject*)self);
 }
 
 static PyObject*
-GraphicsContext_set_antialiased (GraphicsContext* self, PyObject* args)
+FigureCanvas_repr(FigureCanvas* self)
 {
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-    if (!_set_antialiased(cr, args)) return NULL;
-    Py_INCREF(Py_None);
-    return Py_None;
+    return PyUnicode_FromFormat("FigureCanvas object %p wrapping NSView %p",
+                               (void*)self, (void*)(self->view));
+}
+
+static PyObject*
+FigureCanvas_update(FigureCanvas* self)
+{
+    [self->view setNeedsDisplay: YES];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_capstyle (GraphicsContext* self, PyObject* args)
+FigureCanvas_flush_events(FigureCanvas* self)
 {
-    char* string;
-    CGLineCap cap;
+    // We run the app, matching any events that are waiting in the queue
+    // to process, breaking out of the loop when no events remain and
+    // displaying the canvas if needed.
+    Py_BEGIN_ALLOW_THREADS
 
-    if (!PyArg_ParseTuple(args, "s", &string)) return NULL;
+    flushEvents();
 
-    if (!strcmp(string, "butt")) cap = kCGLineCapButt;
-    else if (!strcmp(string, "round")) cap = kCGLineCapRound;
-    else if (!strcmp(string, "projecting")) cap = kCGLineCapSquare;
-    else
-    {
-        PyErr_SetString(PyExc_ValueError,
-                        "capstyle should be 'butt', 'round', or 'projecting'");
-        return NULL;
-    }
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-    CGContextSetLineCap(cr, cap);
+    Py_END_ALLOW_THREADS
 
-    Py_INCREF(Py_None);
-    return Py_None;
+    [self->view displayIfNeeded];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_clip_rectangle (GraphicsContext* self, PyObject* args)
+FigureCanvas_set_cursor(PyObject* unused, PyObject* args)
 {
-    CGRect rect;
-    float x, y, width, height;
-    if (!PyArg_ParseTuple(args, "(ffff)", &x, &y, &width, &height)) return NULL;
-
-    rect.origin.x = x;
-    rect.origin.y = y;
-    rect.size.width = width;
-    rect.size.height = height;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
+    int i;
+    if (!PyArg_ParseTuple(args, "i", &i)) { return NULL; }
+    switch (i) {
+      case 1: [[NSCursor arrowCursor] set]; break;
+      case 2: [[NSCursor pointingHandCursor] set]; break;
+      case 3: [[NSCursor crosshairCursor] set]; break;
+      case 4:
+        if (leftMouseGrabbing) {
+            [[NSCursor closedHandCursor] set];
+        } else {
+            [[NSCursor openHandCursor] set];
+        }
+        break;
+      /* macOS handles busy state itself so no need to set a cursor here */
+      case 5: break;
+      case 6: [[NSCursor resizeLeftRightCursor] set]; break;
+      case 7: [[NSCursor resizeUpDownCursor] set]; break;
+      default: return NULL;
     }
-
-    CGContextClipToRect(cr, rect);
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_clip_path (GraphicsContext* self, PyObject* args)
+FigureCanvas_set_rubberband(FigureCanvas* self, PyObject *args)
 {
-    int n;
-    CGContextRef cr = self->cr;
-
-    PyObject* path;
-    int nd = 2;
-    npy_intp dims[2] = {3, 3};
-    int typenum = NPY_DOUBLE;
-    double data[] = {1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0};
-
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
+    View* view = self->view;
+    if (!view) {
+        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
         return NULL;
     }
-
-    if(!PyArg_ParseTuple(args, "O", &path)) return NULL;
-
-    PyObject* transform = PyArray_SimpleNewFromData(nd, dims, typenum, data);
-    if (!transform) return NULL;
-
-    double rect[4] = {0.0, 0.0, self->size.width, self->size.height};
-    void* iterator  = get_path_iterator(path,
-                                        transform,
-                                        0,
-                                        0,
-                                        rect,
-                                        SNAP_AUTO,
-                                        1.0,
-                                        0);
-    Py_DECREF(transform);
-    if (!iterator)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-            "set_clip_path: failed to obtain path iterator for clipping");
+    int x0, y0, x1, y1;
+    if (!PyArg_ParseTuple(args, "iiii", &x0, &y0, &x1, &y1)) {
         return NULL;
     }
-    n = _draw_path(cr, iterator, INT_MAX);
-    free_path_iterator(iterator);
-
-    if (n > 0) CGContextClip(cr);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static BOOL
-_set_dashes(CGContextRef cr, PyObject* linestyle)
-{
-    CGFloat phase = 0.0;
-    PyObject* offset;
-    PyObject* dashes;
-
-    if (!PyArg_ParseTuple(linestyle, "OO", &offset, &dashes))
-    {
-        PyErr_SetString(PyExc_TypeError,
-            "failed to obtain the offset and dashes from the linestyle");
-        return false;
-    }
-
-    if (offset!=Py_None)
-    {
-        if (PyFloat_Check(offset)) phase = PyFloat_AS_DOUBLE(offset);
-#if PY3K
-        else if (PyLong_Check(offset)) phase = PyLong_AS_LONG(offset);
-#else
-        else if (PyInt_Check(offset)) phase = PyInt_AS_LONG(offset);
-#endif
-        else
-        {
-            PyErr_SetString(PyExc_TypeError,
-                            "offset should be a floating point value");
-            return false;
-        }
-    }
-
-    if (dashes!=Py_None)
-    {
-        if (PyList_Check(dashes)) dashes = PyList_AsTuple(dashes);
-        else if (PyTuple_Check(dashes)) Py_INCREF(dashes);
-        else
-        {
-            PyErr_SetString(PyExc_TypeError,
-                            "dashes should be a tuple or a list");
-            return false;
-        }
-        int n = PyTuple_GET_SIZE(dashes);
-        int i;
-        CGFloat* lengths = malloc(n*sizeof(CGFloat));
-        if(!lengths)
-        {
-            PyErr_SetString(PyExc_MemoryError, "Failed to store dashes");
-            Py_DECREF(dashes);
-            return false;
-        }
-        for (i = 0; i < n; i++)
-        {
-            PyObject* value = PyTuple_GET_ITEM(dashes, i);
-            if (PyFloat_Check(value))
-                lengths[i] = (CGFloat) PyFloat_AS_DOUBLE(value);
-#if PY3K
-            else if (PyLong_Check(value))
-                lengths[i] = (CGFloat) PyLong_AS_LONG(value);
-#else
-            else if (PyInt_Check(value))
-                lengths[i] = (CGFloat) PyInt_AS_LONG(value);
-#endif
-            else break;
-        }
-        Py_DECREF(dashes);
-        if (i < n) /* break encountered */
-        {
-            free(lengths);
-            PyErr_SetString(PyExc_TypeError, "Failed to read dashes");
-            return false;
-        }
-        CGContextSetLineDash(cr, phase, lengths, n);
-        free(lengths);
-    }
-    else
-        CGContextSetLineDash(cr, phase, NULL, 0);
-
-    return true;
+    x0 /= view->device_scale;
+    x1 /= view->device_scale;
+    y0 /= view->device_scale;
+    y1 /= view->device_scale;
+    NSRect rubberband = NSMakeRect(x0 < x1 ? x0 : x1, y0 < y1 ? y0 : y1,
+                                   abs(x1 - x0), abs(y1 - y0));
+    [view setRubberband: rubberband];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_dashes (GraphicsContext* self, PyObject* args)
+FigureCanvas_remove_rubberband(FigureCanvas* self)
 {
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if (!_set_dashes(cr, args))
-        return NULL;
-
-    Py_INCREF(Py_None);
-    return Py_None;
+    [self->view removeRubberband];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_foreground(GraphicsContext* self, PyObject* args)
+FigureCanvas__start_event_loop(FigureCanvas* self, PyObject* args, PyObject* keywords)
 {
-    float r, g, b, a;
-    if(!PyArg_ParseTuple(args, "(ffff)", &r, &g, &b, &a)) return NULL;
+    float timeout = 0.0;
 
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
+    static char* kwlist[] = {"timeout", NULL};
+    if (!PyArg_ParseTupleAndKeywords(args, keywords, "f", kwlist, &timeout)) {
         return NULL;
     }
 
-    if (self->forced_alpha)
-    {
-        // Transparency is applied to layer
-        // Let it override (rather than multiply with) the alpha of the
-        // stroke/fill colors
-        a = 1.0;
-    }
-
-    CGContextSetRGBStrokeColor(cr, r, g, b, a);
-    CGContextSetRGBFillColor(cr, r, g, b, a);
+    Py_BEGIN_ALLOW_THREADS
 
-    self->color[0] = r;
-    self->color[1] = g;
-    self->color[2] = b;
-    self->color[3] = a;
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_set_graylevel(GraphicsContext* self, PyObject* args)
-{   float gray;
-    if(!PyArg_ParseTuple(args, "f", &gray)) return NULL;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
+    NSDate* date =
+        (timeout > 0.0) ? [NSDate dateWithTimeIntervalSinceNow: timeout]
+                        : [NSDate distantFuture];
+    while (true)
+    {   NSEvent* event = [NSApp nextEventMatchingMask: NSEventMaskAny
+                                            untilDate: date
+                                               inMode: NSDefaultRunLoopMode
+                                              dequeue: YES];
+       if (!event || [event type]==NSEventTypeApplicationDefined) { break; }
+       [NSApp sendEvent: event];
     }
 
-    CGContextSetGrayStrokeColor(cr, gray, 1.0);
-    CGContextSetGrayFillColor(cr, gray, 1.0);
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_END_ALLOW_THREADS
+
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-GraphicsContext_set_dpi (GraphicsContext* self, PyObject* args)
+FigureCanvas_stop_event_loop(FigureCanvas* self)
 {
-  if (!PyArg_ParseTuple(args, "f", &(self->dpi))) return NULL;
-
-  Py_INCREF(Py_None);
-  return Py_None;
-}
-
-static PyObject*
-GraphicsContext_set_linewidth (GraphicsContext* self, PyObject* args)
-{
-    float width;
-    if (!PyArg_ParseTuple(args, "f", &width)) return NULL;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    // Convert points to pixels
-    width *= self->dpi / 72.0;
-    CGContextSetLineWidth(cr, width);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_set_joinstyle(GraphicsContext* self, PyObject* args)
-{   char* string;
-    CGLineJoin join;
-
-    if (!PyArg_ParseTuple(args, "s", &string)) return NULL;
-
-    if (!strcmp(string, "miter")) join = kCGLineJoinMiter;
-    else if (!strcmp(string, "round")) join = kCGLineJoinRound;
-    else if (!strcmp(string, "bevel")) join = kCGLineJoinBevel;
-    else
-    {
-        PyErr_SetString(PyExc_ValueError,
-                        "joinstyle should be 'miter', 'round', or 'bevel'");
-        return NULL;
-    }
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-    CGContextSetLineJoin(cr, join);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_draw_path (GraphicsContext* self, PyObject* args)
-{
-    PyObject* path;
-    PyObject* transform;
-    PyObject* rgbFace;
-    float linewidth;
-
-    int n;
-
-    void* iterator;
-
-    CGContextRef cr = self->cr;
-    double rect[4] = { 0.0, 0.0, self->size.width, self->size.height};
-
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "OOf|O",
-                               &path,
-                               &transform,
-                               &linewidth,
-                               &rgbFace)) return NULL;
-
-    if(rgbFace==Py_None) rgbFace = NULL;
-
-    iterator  = get_path_iterator(path,
-                                  transform,
-                                  1,
-                                  0,
-                                  rect,
-                                  SNAP_AUTO,
-                                  linewidth,
-                                  rgbFace == NULL);
-    if (!iterator)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-                        "draw_path: failed to obtain path iterator");
-        return NULL;
-    }
-
-    if(rgbFace)
-    {
-        float r, g, b, a;
-        a = 1.0;
-        if (!PyArg_ParseTuple(rgbFace, "fff|f", &r, &g, &b, &a))
-            return NULL;
-        if (self->forced_alpha)
-            a = 1.0;
-
-        n = _draw_path(cr, iterator, INT_MAX);
-        if (n > 0)
-        {
-            CGContextSaveGState(cr);
-            CGContextSetRGBFillColor(cr, r, g, b, a);
-            CGContextDrawPath(cr, kCGPathFillStroke);
-            CGContextRestoreGState(cr);
-        }
-    }
-    else
-    {
-        const int nmax = 100;
-        while (true)
-        {
-            n = _draw_path(cr, iterator, nmax);
-            if (n != 0) CGContextStrokePath(cr);
-            if (n >= 0) break;
-        }
-    }
-    free_path_iterator(iterator);
-
-    PyObject* hatchpath;
-    hatchpath = PyObject_CallMethod((PyObject*)self, "get_hatch_path", "");
-    if (!hatchpath)
-    {
-        return NULL;
-    }
-    else if (hatchpath==Py_None)
-    {
-        Py_DECREF(hatchpath);
-    }
-    else
-    {
-        CGPatternRef pattern;
-        CGColorSpaceRef baseSpace;
-        CGColorSpaceRef patternSpace;
-        static const CGPatternCallbacks callbacks = {0,
-                                                     &_draw_hatch,
-                                                     &_release_hatch};
-        baseSpace = CGColorSpaceCreateWithName(kCGColorSpaceGenericRGB);
-        if (!baseSpace)
-        {
-            Py_DECREF(hatchpath);
-            PyErr_SetString(PyExc_RuntimeError,
-                "draw_path: CGColorSpaceCreateWithName failed");
-            return NULL;
-        }
-        patternSpace = CGColorSpaceCreatePattern(baseSpace);
-        CGColorSpaceRelease(baseSpace);
-        if (!patternSpace)
-        {
-            Py_DECREF(hatchpath);
-            PyErr_SetString(PyExc_RuntimeError,
-                "draw_path: CGColorSpaceCreatePattern failed");
-            return NULL;
-        }
-        CGContextSetFillColorSpace(cr, patternSpace);
-        CGColorSpaceRelease(patternSpace);
-
-        pattern = CGPatternCreate((void*)hatchpath,
-                                  CGRectMake(0, 0, HATCH_SIZE, HATCH_SIZE),
-                                  CGAffineTransformIdentity,
-                                  HATCH_SIZE, HATCH_SIZE,
-                                  kCGPatternTilingNoDistortion,
-                                  false,
-                                  &callbacks);
-        CGContextSetFillPattern(cr, pattern, self->color);
-        CGPatternRelease(pattern);
-        iterator  = get_path_iterator(path,
-                                      transform,
-                                      1,
-                                      0,
-                                      rect,
-                                      SNAP_AUTO,
-                                      linewidth,
-                                      0);
-        if (!iterator)
-        {
-            Py_DECREF(hatchpath);
-            PyErr_SetString(PyExc_RuntimeError,
-                "draw_path: failed to obtain path iterator for hatching");
-            return NULL;
-        }
-        n = _draw_path(cr, iterator, INT_MAX);
-        free_path_iterator(iterator);
-        if (n > 0) CGContextFillPath(cr);
-    }
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_draw_markers (GraphicsContext* self, PyObject* args)
-{
-    PyObject* marker_path;
-    PyObject* marker_transform;
-    PyObject* path;
-    PyObject* transform;
-    float linewidth;
-    PyObject* rgbFace;
-
-    int ok;
-    float r, g, b, a;
-
-    CGMutablePathRef marker;
-    void* iterator;
-    double rect[4] = {0.0, 0.0, self->size.width, self->size.height};
-    enum e_snap_mode mode;
-    double xc, yc;
-    unsigned code;
-
-    CGContextRef cr = self->cr;
-
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "OOOOf|O",
-                               &marker_path,
-                               &marker_transform,
-                               &path,
-                               &transform,
-                               &linewidth,
-                               &rgbFace)) return NULL;
-
-    if(rgbFace==Py_None) rgbFace = NULL;
-
-    if (rgbFace)
-    {
-        a = 1.0;
-        ok = PyArg_ParseTuple(rgbFace, "fff|f", &r, &g, &b, &a);
-        if (!ok)
-        {
-            return NULL;
-        }
-        if (self->forced_alpha)
-            a = 1.0;
-        CGContextSetRGBFillColor(cr, r, g, b, a);
-    }
-
-    ok = _get_snap(self, &mode);
-    if (!ok)
-    {
-        return NULL;
-    }
-
-    iterator = get_path_iterator(marker_path,
-                                 marker_transform,
-                                 0,
-                                 0,
-                                 rect,
-                                 mode,
-                                 linewidth,
-                                 0);
-    if (!iterator)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-            "draw_markers: failed to obtain path iterator for marker");
-        return NULL;
-    }
-    marker = _create_path(iterator);
-    free_path_iterator(iterator);
-    if (!marker)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-            "draw_markers: failed to draw marker path");
-        return NULL;
-    }
-    iterator = get_path_iterator(path,
-                                 transform,
-                                 1,
-                                 1,
-                                 rect,
-                                 SNAP_TRUE,
-                                 1.0,
-                                 0);
-    if (!iterator)
-    {
-        CGPathRelease(marker);
-        PyErr_SetString(PyExc_RuntimeError,
-            "draw_markers: failed to obtain path iterator");
-        return NULL;
-    }
-
-    while (true)
-    {
-        code = get_vertex(iterator, &xc, &yc);
-        if (code == STOP)
-        {
-            break;
-        }
-        else if (code == MOVETO || code == LINETO || code == CURVE3 || code ==CURVE4)
-        {
-            CGContextSaveGState(cr);
-            CGContextTranslateCTM(cr, xc, yc);
-            CGContextAddPath(cr, marker);
-            CGContextRestoreGState(cr);
-        }
-        if(rgbFace) CGContextDrawPath(cr, kCGPathFillStroke);
-        else CGContextStrokePath(cr);
-    }
-    free_path_iterator(iterator);
-    CGPathRelease(marker);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static int _transformation_converter(PyObject* object, void* pointer)
-{
-    CGAffineTransform* matrix = (CGAffineTransform*)pointer;
-    if (!PyArray_Check(object))
-       {
-           PyErr_SetString(PyExc_ValueError,
-                           "transformation matrix is not a NumPy array");
-           return 0;
-       }
-    PyArrayObject* aobject = (PyArrayObject*)object;
-
-    if (PyArray_NDIM(aobject)!=2 || PyArray_DIM(aobject, 0)!=3
-        || PyArray_DIM(aobject, 1)!=3)
-        {
-            PyErr_SetString(PyExc_ValueError,
-                "transformation matrix is not a 3x3 NumPy array");
-            return 0;
-        }
-    const double a =  *(double*)PyArray_GETPTR2(aobject, 0, 0);
-    const double b =  *(double*)PyArray_GETPTR2(aobject, 1, 0);
-    const double c =  *(double*)PyArray_GETPTR2(aobject, 0, 1);
-    const double d =  *(double*)PyArray_GETPTR2(aobject, 1, 1);
-    const double tx =  *(double*)PyArray_GETPTR2(aobject, 0, 2);
-    const double ty =  *(double*)PyArray_GETPTR2(aobject, 1, 2);
-    *matrix = CGAffineTransformMake(a, b, c, d, tx, ty);
-    return 1;
-}
-
-static PyObject*
-GraphicsContext_draw_path_collection (GraphicsContext* self, PyObject* args)
-{
-    CGAffineTransform master;
-    PyObject* path_ids;
-    PyObject* all_transforms;
-    PyObject* offsets;
-    PyArrayObject* offsets_arr = 0;
-    CGAffineTransform offset_transform;
-    PyObject* facecolors;
-    PyArrayObject* facecolors_arr = 0;
-    PyObject* edgecolors;
-    PyArrayObject* edgecolors_arr = 0;
-    PyObject* linewidths;
-    PyObject* linestyles;
-    PyObject* antialiaseds;
-
-    int offset_position = 0;
-
-    CGContextRef cr = self->cr;
-
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "O&OOOO&OOOOOi",
-                               _transformation_converter, &master,
-                               &path_ids,
-                               &all_transforms,
-                               &offsets,
-                               _transformation_converter, &offset_transform,
-                               &facecolors,
-                               &edgecolors,
-                               &linewidths,
-                               &linestyles,
-                               &antialiaseds,
-                               &offset_position))
-        return NULL;
-
-    int ok = 1;
-    Py_ssize_t i;
-
-    CGMutablePathRef* p = NULL;
-    CGAffineTransform* transforms = NULL;
-    CGPoint *toffsets = NULL;
-    CGPatternRef pattern = NULL;
-    CGColorSpaceRef patternSpace = NULL;
-
-    PyObject* hatchpath;
-    hatchpath = PyObject_CallMethod((PyObject*)self, "get_hatch_path", "");
-    if (!hatchpath)
-    {
-        return NULL;
-    }
-    else if (hatchpath==Py_None)
-    {
-        Py_DECREF(hatchpath);
-    }
-    else
-    {
-        CGColorSpaceRef baseSpace;
-        static const CGPatternCallbacks callbacks = {0,
-                                                     &_draw_hatch,
-                                                     &_release_hatch};
-        baseSpace = CGColorSpaceCreateWithName(kCGColorSpaceGenericRGB);
-        if (!baseSpace)
-        {
-            Py_DECREF(hatchpath);
-            PyErr_SetString(PyExc_RuntimeError,
-                "draw_path: CGColorSpaceCreateWithName failed");
-            return NULL;
-        }
-        patternSpace = CGColorSpaceCreatePattern(baseSpace);
-        CGColorSpaceRelease(baseSpace);
-        if (!patternSpace)
-        {
-            Py_DECREF(hatchpath);
-            PyErr_SetString(PyExc_RuntimeError,
-                "draw_path: CGColorSpaceCreatePattern failed");
-            return NULL;
-        }
-        pattern = CGPatternCreate((void*)hatchpath,
-                                  CGRectMake(0, 0, HATCH_SIZE, HATCH_SIZE),
-                                  CGAffineTransformIdentity,
-                                  HATCH_SIZE, HATCH_SIZE,
-                                  kCGPatternTilingNoDistortion,
-                                  false,
-                                  &callbacks);
-    }
-
-    /* --------- Prepare some variables for the path iterator ------------- */
-    void* iterator;
-    double rect[4] = {0.0, 0.0, self->size.width, self->size.height};
-    enum e_snap_mode mode;
-    ok = _get_snap(self, &mode);
-    if (!ok)
-    {
-        return NULL;
-    }
-
-    /* ------------------- Check paths ------------------------------------ */
-
-    if (!PySequence_Check(path_ids))
-    {
-        PyErr_SetString(PyExc_ValueError, "paths must be a sequence object");
-        return NULL;
-    }
-    const Py_ssize_t Npaths = PySequence_Size(path_ids);
-
-    /* -------------------------------------------------------------------- */
-
-    CGContextSaveGState(cr);
-
-    /* ------------------- Check facecolors array ------------------------- */
-
-    facecolors_arr = (PyArrayObject*) PyArray_FromObject(facecolors, NPY_DOUBLE, 1, 2);
-    if (!facecolors_arr ||
-        (PyArray_NDIM(facecolors_arr)==1 && PyArray_DIM(facecolors_arr, 0)!=0) ||
-        (PyArray_NDIM(facecolors_arr)==2 && PyArray_DIM(facecolors_arr, 1)!=4))
-    {
-        PyErr_SetString(PyExc_ValueError, "Facecolors must by a Nx4 numpy array or empty");
-        ok = 0;
-        goto exit;
-    }
-    Py_ssize_t Nfacecolors = PyArray_DIM(facecolors_arr, 0);
-
-    /* ------------------- Check edgecolors array ------------------------- */
-
-    edgecolors_arr = (PyArrayObject*) PyArray_FromObject(edgecolors, NPY_DOUBLE, 1, 2);
-    if (!edgecolors_arr ||
-        (PyArray_NDIM(edgecolors_arr)==1 && PyArray_DIM(edgecolors_arr, 0)!=0) ||
-        (PyArray_NDIM(edgecolors_arr)==2 && PyArray_DIM(edgecolors_arr, 1)!=4))
-    {
-        PyErr_SetString(PyExc_ValueError, "Edgecolors must by a Nx4 numpy array or empty");
-        ok = 0;
-        goto exit;
-    }
-    Py_ssize_t Nedgecolors = PyArray_DIM(edgecolors_arr, 0);
-
-    /* -------------------------------------------------------------------- */
-
-    if ((Nfacecolors==0 && Nedgecolors==0) || Npaths==0) /* Nothing to do */
-        goto exit;
-
-    /* ------------------- Check offsets array ---------------------------- */
-
-    offsets_arr = (PyArrayObject*) PyArray_FromObject(offsets, NPY_DOUBLE, 0, 2);
-
-    if (!offsets_arr ||
-        (PyArray_NDIM(offsets_arr)==2 && PyArray_DIM(offsets_arr, 1)!=2) ||
-        (PyArray_NDIM(offsets_arr)==1 && PyArray_DIM(offsets_arr, 0)!=0))
-    {
-        Py_XDECREF(offsets_arr);
-        PyErr_SetString(PyExc_ValueError, "Offsets array must be Nx2");
-        ok = 0;
-        goto exit;
-    }
-    const Py_ssize_t Noffsets = PyArray_DIM(offsets_arr, 0);
-    if (Noffsets > 0) {
-        toffsets = malloc(Noffsets*sizeof(CGPoint));
-        if (!toffsets)
-        {
-            Py_DECREF(offsets_arr);
-            ok = 0;
-            goto exit;
-        }
-        CGPoint point;
-        for (i = 0; i < Noffsets; i++)
-        {
-            point.x = (CGFloat) (*(double*)PyArray_GETPTR2(offsets_arr, i, 0));
-            point.y = (CGFloat) (*(double*)PyArray_GETPTR2(offsets_arr, i, 1));
-            toffsets[i] = CGPointApplyAffineTransform(point, offset_transform);
-        }
-    }
-    Py_DECREF(offsets_arr);
-
-    /* ------------------- Check transforms ------------------------------- */
-
-    if (!PySequence_Check(all_transforms))
-    {
-        PyErr_SetString(PyExc_ValueError, "transforms must be a sequence object");
-        return NULL;
-    }
-    const Py_ssize_t Ntransforms = PySequence_Size(all_transforms);
-    if (Ntransforms > 0)
-    {
-        transforms = malloc(Ntransforms*sizeof(CGAffineTransform));
-        if (!transforms)
-            goto exit;
-        for (i = 0; i < Ntransforms; i++)
-        {
-            PyObject* transform = PySequence_ITEM(all_transforms, i);
-            if (!transform) goto exit;
-            ok = _transformation_converter(transform, &transforms[i]);
-            Py_DECREF(transform);
-            if (!ok) goto exit;
-        }
-    }
-
-    /* -------------------------------------------------------------------- */
-
-    p = malloc(Npaths*sizeof(CGMutablePathRef));
-    if (!p)
-    {
-        ok = 0;
-        goto exit;
-    }
-    for (i = 0; i < Npaths; i++)
-    {
-        PyObject* path;
-        PyObject* transform;
-        p[i] = NULL;
-        PyObject* path_id = PySequence_ITEM(path_ids, i);
-        if (!path_id)
-        {
-            ok = 0;
-            goto exit;
-        }
-        if (!PyTuple_Check(path_id) || PyTuple_Size(path_id)!=2)
-        {
-            ok = 0;
-            PyErr_SetString(PyExc_RuntimeError,
-                            "path_id should be a tuple of two items");
-            goto exit;
-        }
-        path = PyTuple_GET_ITEM(path_id, 0);
-        transform = PyTuple_GET_ITEM(path_id, 1);
-        iterator = get_path_iterator(path,
-                                     transform,
-                                     1,
-                                     0,
-                                     rect,
-                                     mode,
-                                     1.0,
-                                     /* Hardcoding stroke width to 1.0
-                                        here, but for true
-                                        correctness, the paths would
-                                        need to be set up for each
-                                        different linewidth that may
-                                        be applied below.  This
-                                        difference is very minute in
-                                        practice, so this hardcoding
-                                        is probably ok for now.  --
-                                        MGD */
-                                     0);
-        if (!iterator)
-        {
-            PyErr_SetString(PyExc_RuntimeError,
-                            "failed to obtain path iterator");
-            ok = 0;
-            goto exit;
-        }
-        p[i] = _create_path(iterator);
-        free_path_iterator(iterator);
-        Py_DECREF(path_id);
-        if (!p[i])
-        {
-            PyErr_SetString(PyExc_RuntimeError, "failed to create path");
-            ok = 0;
-            goto exit;
-        }
-    }
-
-    /* ------------------- Check the other arguments ---------------------- */
-
-    if (!PySequence_Check(linewidths))
-    {
-        PyErr_SetString(PyExc_ValueError, "linewidths must be a sequence object");
-        ok = 0;
-        goto exit;
-    }
-    if (!PySequence_Check(linestyles))
-    {
-        PyErr_SetString(PyExc_ValueError, "linestyles must be a sequence object");
-        ok = 0;
-        goto exit;
-    }
-    if (!PySequence_Check(antialiaseds))
-    {
-        PyErr_SetString(PyExc_ValueError, "antialiaseds must be a sequence object");
-        ok = 0;
-        goto exit;
-    }
-
-    Py_ssize_t Nlinewidths = PySequence_Size(linewidths);
-    Py_ssize_t Nlinestyles = PySequence_Size(linestyles);
-    Py_ssize_t Naa         = PySequence_Size(antialiaseds);
-
-    /* Preset graphics context properties if possible */
-    if (Naa==1)
-    {
-        PyObject* antialiased = PySequence_ITEM(antialiaseds, 0);
-        if (antialiased)
-        {
-            ok = _set_antialiased(cr, antialiased);
-            Py_DECREF(antialiased);
-        }
-        else
-        {
-            PyErr_SetString(PyExc_SystemError,
-                            "Failed to read element from antialiaseds array");
-            ok = 0;
-        }
-        if (!ok) goto exit;
-    }
-
-    if (Nlinewidths==0 || Nedgecolors==0)
-        CGContextSetLineWidth(cr, 0.0);
-    else if (Nlinewidths==1)
-    {
-        PyObject* linewidth = PySequence_ITEM(linewidths, 0);
-        if (!linewidth)
-        {
-            PyErr_SetString(PyExc_SystemError,
-                            "Failed to read element from linewidths array");
-            ok = 0;
-            goto exit;
-        }
-        CGContextSetLineWidth(cr, (CGFloat)PyFloat_AsDouble(linewidth));
-        Py_DECREF(linewidth);
-    }
-
-    if (Nlinestyles==1)
-    {
-        PyObject* linestyle = PySequence_ITEM(linestyles, 0);
-        if (!linestyle)
-        {
-            PyErr_SetString(PyExc_SystemError,
-                            "Failed to read element from linestyles array");
-            ok = 0;
-            goto exit;
-        }
-        ok = _set_dashes(cr, linestyle);
-        Py_DECREF(linestyle);
-        if (!ok) goto exit;
-    }
-
-    if (Nedgecolors==1)
-    {
-        const double r = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 0);
-        const double g = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 1);
-        const double b = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 2);
-        const double a = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 3);
-        CGContextSetRGBStrokeColor(cr, r, g, b, a);
-        self->color[0] = r;
-        self->color[1] = g;
-        self->color[2] = b;
-        self->color[3] = a;
-    }
-    else /* We may need these for hatching */
-    {
-        self->color[0] = 0;
-        self->color[1] = 0;
-        self->color[2] = 0;
-        self->color[3] = 1;
-    }
-
-    if (Nfacecolors==1)
-    {
-        const double r = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 0);
-        const double g = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 1);
-        const double b = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 2);
-        const double a = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 3);
-        CGContextSetRGBFillColor(cr, r, g, b, a);
-    }
-
-    CGPoint translation = CGPointZero;
-
-    const Py_ssize_t N = Npaths > Noffsets ? Npaths : Noffsets;
-    for (i = 0; i < N; i++)
-    {
-        if (CGPathIsEmpty(p[i % Npaths])) continue;
-
-        if (Noffsets)
-        {
-            CGAffineTransform t;
-            CGPoint origin;
-            translation = toffsets[i % Noffsets];
-            if (offset_position)
-            {
-                t = master;
-                if (Ntransforms)
-                    t = CGAffineTransformConcat(transforms[i % Ntransforms], t);
-                translation = CGPointApplyAffineTransform(translation, t);
-                origin = CGPointApplyAffineTransform(CGPointZero, t);
-                translation.x = - (origin.x - translation.x);
-                translation.y = - (origin.y - translation.y);
-            }
-            /* in case of missing values, translation may contain NaN's */
-            if (!isfinite(translation.x) || !isfinite(translation.y)) continue;
-            CGContextTranslateCTM(cr, translation.x, translation.y);
-        }
-
-        if (Naa > 1)
-        {
-            PyObject* antialiased = PySequence_ITEM(antialiaseds, i % Naa);
-            if (antialiased)
-            {
-                ok = _set_antialiased(cr, antialiased);
-                Py_DECREF(antialiased);
-            }
-            else
-            {
-                PyErr_SetString(PyExc_SystemError,
-                    "Failed to read element from antialiaseds array");
-                ok = 0;
-            }
-            if (!ok) goto exit;
-        }
-
-        if (Nlinewidths > 1)
-        {
-            PyObject* linewidth = PySequence_ITEM(linewidths, i % Nlinewidths);
-            if (!linewidth)
-            {
-                PyErr_SetString(PyExc_SystemError,
-                                "Failed to read element from linewidths array");
-                ok = 0;
-                goto exit;
-            }
-            CGContextSetLineWidth(cr, (CGFloat)PyFloat_AsDouble(linewidth));
-            Py_DECREF(linewidth);
-        }
-
-        if (Nlinestyles > 1)
-        {
-            PyObject* linestyle = PySequence_ITEM(linestyles, i % Nlinestyles);
-            if (!linestyle)
-            {
-                PyErr_SetString(PyExc_SystemError,
-                                "Failed to read element from linestyles array");
-                ok = 0;
-                goto exit;
-            }
-            ok = _set_dashes(cr, linestyle);
-            Py_DECREF(linestyle);
-            if (!ok) goto exit;
-        }
-
-        if (Nedgecolors > 1)
-        {
-            npy_intp fi = i % Nedgecolors;
-            const double r = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 0);
-            const double g = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 1);
-            const double b = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 2);
-            const double a = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 3);
-            CGContextSetRGBStrokeColor(cr, r, g, b, a);
-        }
-
-        CGContextAddPath(cr, p[i % Npaths]);
-
-        if (Nfacecolors > 1)
-        {
-            npy_intp fi = i % Nfacecolors;
-            const double r = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 0);
-            const double g = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 1);
-            const double b = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 2);
-            const double a = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 3);
-            CGContextSetRGBFillColor(cr, r, g, b, a);
-            if (Nedgecolors > 0) CGContextDrawPath(cr, kCGPathFillStroke);
-            else CGContextFillPath(cr);
-        }
-        else if (Nfacecolors==1)
-        {
-            if (Nedgecolors > 0) CGContextDrawPath(cr, kCGPathFillStroke);
-            else CGContextFillPath(cr);
-        }
-        else /* We checked Nedgecolors != 0 above */
-            CGContextStrokePath(cr);
-
-        if (pattern)
-        {
-            CGContextSaveGState(cr);
-            CGContextSetFillColorSpace(cr, patternSpace);
-            CGContextSetFillPattern(cr, pattern, self->color);
-            CGContextAddPath(cr, p[i % Npaths]);
-            CGContextFillPath(cr);
-            CGContextRestoreGState(cr);
-        }
-
-        if (Noffsets)
-            CGContextTranslateCTM(cr, -translation.x, -translation.y);
-    }
-
-exit:
-    CGContextRestoreGState(cr);
-    Py_XDECREF(facecolors_arr);
-    Py_XDECREF(edgecolors_arr);
-    if (pattern) CGPatternRelease(pattern);
-    if (patternSpace) CGColorSpaceRelease(patternSpace);
-    if (transforms) free(transforms);
-    if (toffsets) free(toffsets);
-    if (p)
-    {
-        for (i = 0; i < Npaths; i++)
-        {
-            if (!p[i]) break;
-            CGPathRelease(p[i]);
-        }
-        free(p);
-    }
-    if (!ok) return NULL;
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_draw_quad_mesh (GraphicsContext* self, PyObject* args)
-{
-    CGAffineTransform master;
-    int meshWidth;
-    int meshHeight;
-    PyObject* coordinates;
-    PyArrayObject* coordinates_arr = 0;
-    PyObject* offsets;
-    PyArrayObject* offsets_arr = 0;
-    CGAffineTransform offset_transform;
-    PyObject* facecolors;
-    PyArrayObject* facecolors_arr = 0;
-    int antialiased;
-    PyObject* edgecolors;
-    PyArrayObject* edgecolors_arr = 0;
-
-    CGPoint *toffsets = NULL;
-
-    CGContextRef cr = self->cr;
-
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "O&iiOOO&OiO",
-                               _transformation_converter, &master,
-                               &meshWidth,
-                               &meshHeight,
-                               &coordinates,
-                               &offsets,
-                               _transformation_converter, &offset_transform,
-                               &facecolors,
-                               &antialiased,
-                               &edgecolors)) return NULL;
-
-    int ok = 1;
-    CGContextSaveGState(cr);
-
-    /* ------------------- Check coordinates array ------------------------ */
-
-    coordinates_arr = (PyArrayObject*) PyArray_FromObject(coordinates, NPY_DOUBLE, 3, 3);
-    if (!coordinates_arr ||
-        PyArray_NDIM(coordinates_arr) != 3 || PyArray_DIM(coordinates_arr, 2) != 2)
-    {
-        PyErr_SetString(PyExc_ValueError, "Invalid coordinates array");
-        ok = 0;
-        goto exit;
-    }
-
-    /* ------------------- Check offsets array ---------------------------- */
-
-    offsets_arr = (PyArrayObject*) PyArray_FromObject(offsets, NPY_DOUBLE, 0, 2);
-
-    if (!offsets_arr ||
-        (PyArray_NDIM(offsets_arr)==2 && PyArray_DIM(offsets_arr, 1)!=2) ||
-        (PyArray_NDIM(offsets_arr)==1 && PyArray_DIM(offsets_arr, 0)!=0))
-    {
-        Py_XDECREF(offsets_arr);
-        PyErr_SetString(PyExc_ValueError, "Offsets array must be Nx2");
-        ok = 0;
-        goto exit;
-    }
-    const Py_ssize_t Noffsets = PyArray_DIM(offsets_arr, 0);
-    if (Noffsets > 0) {
-        int i;
-        toffsets = malloc(Noffsets*sizeof(CGPoint));
-        if (!toffsets)
-        {
-            Py_DECREF(offsets_arr);
-            ok = 0;
-            goto exit;
-        }
-        CGPoint point;
-        for (i = 0; i < Noffsets; i++)
-        {
-            point.x = (CGFloat) (*(double*)PyArray_GETPTR2(offsets_arr, i, 0));
-            point.y = (CGFloat) (*(double*)PyArray_GETPTR2(offsets_arr, i, 1));
-            toffsets[i] = CGPointApplyAffineTransform(point, offset_transform);
-        }
-    }
-    Py_DECREF(offsets_arr);
-
-    /* ------------------- Check facecolors array ------------------------- */
-
-    facecolors_arr = (PyArrayObject*) PyArray_FromObject(facecolors, NPY_DOUBLE, 1, 2);
-    if (!facecolors_arr ||
-        (PyArray_NDIM(facecolors_arr)==1 && PyArray_DIM(facecolors_arr, 0)!=0) ||
-        (PyArray_NDIM(facecolors_arr)==2 && PyArray_DIM(facecolors_arr, 1)!=4))
-    {
-        PyErr_SetString(PyExc_ValueError, "facecolors must by a Nx4 numpy array or empty");
-        ok = 0;
-        goto exit;
-    }
-
-    /* ------------------- Check edgecolors array ------------------------- */
-
-    edgecolors_arr = (PyArrayObject*) PyArray_FromObject(edgecolors, NPY_DOUBLE, 1, 2);
-    if (!edgecolors_arr ||
-        (PyArray_NDIM(edgecolors_arr)==1 && PyArray_DIM(edgecolors_arr, 0)!=0) ||
-        (PyArray_NDIM(edgecolors_arr)==2 && PyArray_DIM(edgecolors_arr, 1)!=4))
-    {
-        PyErr_SetString(PyExc_ValueError, "edgecolors must by a Nx4 numpy array or empty");
-        ok = 0;
-        goto exit;
-    }
-
-    /* ------------------- Check the other arguments ---------------------- */
-
-    size_t Npaths      = meshWidth * meshHeight;
-    size_t Nfacecolors = (size_t) PyArray_DIM(facecolors_arr, 0);
-    size_t Nedgecolors = (size_t) PyArray_DIM(edgecolors_arr, 0);
-    if ((Nfacecolors == 0 && Nedgecolors == 0) || Npaths == 0)
-    {
-        /* Nothing to do here */
-        goto exit;
-    }
-
-    size_t i = 0;
-    size_t iw = 0;
-    size_t ih = 0;
-
-    /* Preset graphics context properties if possible */
-    CGContextSetShouldAntialias(cr, antialiased);
-
-    if (Nfacecolors==1)
-    {
-        const double r = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 0);
-        const double g = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 1);
-        const double b = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 2);
-        const double a = *(double*)PyArray_GETPTR2(facecolors_arr, 0, 3);
-        CGContextSetRGBFillColor(cr, r, g, b, a);
-        if (antialiased && Nedgecolors==0)
-        {
-            CGContextSetRGBStrokeColor(cr, r, g, b, a);
-        }
-    }
-    if (Nedgecolors==1)
-    {
-        const double r = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 0);
-        const double g = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 1);
-        const double b = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 2);
-        const double a = *(double*)PyArray_GETPTR2(edgecolors_arr, 0, 3);
-        CGContextSetRGBStrokeColor(cr, r, g, b, a);
-    }
-
-    CGPoint translation = CGPointZero;
-    double x, y;
-    for (ih = 0; ih < meshHeight; ih++)
-    {
-        for (iw = 0; iw < meshWidth; iw++, i++)
-        {
-            CGPoint points[4];
-
-            x = *(double*)PyArray_GETPTR3(coordinates_arr, ih, iw, 0);
-            y = *(double*)PyArray_GETPTR3(coordinates_arr, ih, iw, 1);
-            if (isnan(x) || isnan(y)) continue;
-            points[0].x = (CGFloat)x;
-            points[0].y = (CGFloat)y;
-
-            x = *(double*)PyArray_GETPTR3(coordinates_arr, ih, iw+1, 0);
-            y = *(double*)PyArray_GETPTR3(coordinates_arr, ih, iw+1, 1);
-            if (isnan(x) || isnan(y)) continue;
-            points[1].x = (CGFloat)x;
-            points[1].y = (CGFloat)y;
-
-            x = *(double*)PyArray_GETPTR3(coordinates_arr, ih+1, iw+1, 0);
-            y = *(double*)PyArray_GETPTR3(coordinates_arr, ih+1, iw+1, 1);
-            if (isnan(x) || isnan(y)) continue;
-            points[2].x = (CGFloat)x;
-            points[2].y = (CGFloat)y;
-
-            x = *(double*)PyArray_GETPTR3(coordinates_arr, ih+1, iw, 0);
-            y = *(double*)PyArray_GETPTR3(coordinates_arr, ih+1, iw, 1);
-            if (isnan(x) || isnan(y)) continue;
-            points[3].x = (CGFloat)x;
-            points[3].y = (CGFloat)y;
-
-            points[0] = CGPointApplyAffineTransform(points[0], master);
-            points[1] = CGPointApplyAffineTransform(points[1], master);
-            points[2] = CGPointApplyAffineTransform(points[2], master);
-            points[3] = CGPointApplyAffineTransform(points[3], master);
-
-            if (Noffsets)
-            {
-                translation = toffsets[i % Noffsets];
-                CGContextTranslateCTM(cr, translation.x, translation.y);
-            }
-
-            CGContextMoveToPoint(cr, points[3].x, points[3].y);
-            CGContextAddLines(cr, points, 4);
-            CGContextClosePath(cr);
-
-            if (Nfacecolors > 1)
-            {
-                npy_intp fi = i % Nfacecolors;
-                const double r = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 0);
-                const double g = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 1);
-                const double b = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 2);
-                const double a = *(double*)PyArray_GETPTR2(facecolors_arr, fi, 3);
-                CGContextSetRGBFillColor(cr, r, g, b, a);
-                if (antialiased && Nedgecolors==0)
-                {
-                    CGContextSetRGBStrokeColor(cr, r, g, b, a);
-                }
-            }
-            if (Nedgecolors > 1)
-            {
-                npy_intp fi = i % Nedgecolors;
-                const double r = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 0);
-                const double g = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 1);
-                const double b = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 2);
-                const double a = *(double*)PyArray_GETPTR2(edgecolors_arr, fi, 3);
-                CGContextSetRGBStrokeColor(cr, r, g, b, a);
-            }
-
-            if (Nfacecolors > 0)
-            {
-                if (Nedgecolors > 0 || antialiased)
-                {
-                    CGContextDrawPath(cr, kCGPathFillStroke);
-                }
-                else
-                {
-                    CGContextFillPath(cr);
-                }
-            }
-            else if (Nedgecolors > 0)
-            {
-                CGContextStrokePath(cr);
-            }
-            if (Noffsets)
-            {
-                CGContextTranslateCTM(cr, -translation.x, -translation.y);
-            }
-        }
-    }
-
-exit:
-    CGContextRestoreGState(cr);
-    if (toffsets) free(toffsets);
-    Py_XDECREF(facecolors_arr);
-    Py_XDECREF(edgecolors_arr);
-    Py_XDECREF(coordinates_arr);
-
-    if (!ok) return NULL;
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static int _find_minimum(CGFloat values[3])
-{
-    int i = 0;
-    CGFloat minimum = values[0];
-    if (values[1] < minimum)
-    {
-        minimum = values[1];
-        i = 1;
-    }
-    if (values[2] < minimum)
-        i = 2;
-    return i;
-}
-
-static int _find_maximum(CGFloat values[3])
-{
-    int i = 0;
-    CGFloat maximum = values[0];
-    if (values[1] > maximum)
-    {
-        maximum = values[1];
-        i = 1;
-    }
-    if (values[2] > maximum)
-        i = 2;
-    return i;
-}
-
-static void
-_rgba_color_evaluator(void* info, const CGFloat input[], CGFloat outputs[])
-{
-    const CGFloat c1 = input[0];
-    const CGFloat c0 = 1.0 - c1;
-    CGFloat(* color)[4] = info;
-    outputs[0] = c0 * color[0][0] + c1 * color[1][0];
-    outputs[1] = c0 * color[0][1] + c1 * color[1][1];
-    outputs[2] = c0 * color[0][2] + c1 * color[1][2];
-    outputs[3] = c0 * color[0][3] + c1 * color[1][3];
-}
-
-static void
-_gray_color_evaluator(void* info, const CGFloat input[], CGFloat outputs[])
-{
-    const CGFloat c1 = input[0];
-    const CGFloat c0 = 1.0 - c1;
-    CGFloat(* color)[2] = info;
-    outputs[0] = c0 * color[0][0] + c1 * color[1][0];
-    outputs[1] = c0 * color[0][1] + c1 * color[1][1];
-}
-
-static int
-_shade_one_color(CGContextRef cr, CGFloat colors[3], CGPoint points[3], int icolor)
-{
-    const int imin = _find_minimum(colors);
-    const int imax = _find_maximum(colors);
-
-    float numerator;
-    float denominator;
-    float ac;
-    float as;
-    float phi;
-    float distance;
-    CGPoint start;
-    CGPoint end;
-    static CGFunctionCallbacks callbacks = {0, &_rgba_color_evaluator, free};
-    CGFloat domain[2] = {0.0, 1.0};
-    CGFloat range[8] = {0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0};
-    CGFunctionRef function;
-
-    CGFloat(* rgba)[4] = malloc(2*sizeof(CGFloat[4]));
-    if (!rgba) return -1;
-    else {
-        rgba[0][0] = 0.0;
-        rgba[0][1] = 0.0;
-        rgba[0][2] = 0.0;
-        rgba[0][3] = 1.0;
-        rgba[1][0] = 0.0;
-        rgba[1][1] = 0.0;
-        rgba[1][2] = 0.0;
-        rgba[1][3] = 1.0;
-    }
-
-    denominator = (points[1].x-points[0].x)*(points[2].y-points[0].y)
-                - (points[2].x-points[0].x)*(points[1].y-points[0].y);
-    numerator = (colors[1]-colors[0])*(points[2].y-points[0].y)
-              - (colors[2]-colors[0])*(points[1].y-points[0].y);
-    ac = numerator / denominator;
-    numerator = (colors[2]-colors[0])*(points[1].x-points[0].x)
-              - (colors[1]-colors[0])*(points[2].x-points[0].x);
-    as = numerator / denominator;
-    phi = atan2(as, ac);
-
-    start.x = points[imin].x;
-    start.y = points[imin].y;
-
-    rgba[0][icolor] = colors[imin];
-    rgba[1][icolor] = colors[imax];
-
-    distance = (points[imax].x-points[imin].x) * cos(phi) + (points[imax].y-points[imin].y) * sin(phi);
-
-    end.x = start.x + distance * cos(phi);
-    end.y = start.y + distance * sin(phi);
-
-    function = CGFunctionCreate(rgba,
-                                1, /* one input (position) */
-                                domain,
-                                4, /* rgba output */
-                                range,
-                                &callbacks);
-    if (function)
-    {
-        CGColorSpaceRef colorspace = CGColorSpaceCreateWithName(kCGColorSpaceGenericRGB);
-        CGShadingRef shading = CGShadingCreateAxial(colorspace,
-                                                    start,
-                                                    end,
-                                                    function,
-                                                    true,
-                                                    true);
-        CGColorSpaceRelease(colorspace);
-        CGFunctionRelease(function);
-        if (shading)
-        {
-            CGContextDrawShading(cr, shading);
-            CGShadingRelease(shading);
-            return 1;
-        }
-    }
-    free(rgba);
-    return -1;
-}
-
-static CGRect _find_enclosing_rect(CGPoint points[3])
-{
-    CGFloat left = points[0].x;
-    CGFloat right = points[0].x;
-    CGFloat bottom = points[0].y;
-    CGFloat top = points[0].y;
-    if (points[1].x < left) left = points[1].x;
-    if (points[1].x > right) right = points[1].x;
-    if (points[2].x < left) left = points[2].x;
-    if (points[2].x > right) right = points[2].x;
-    if (points[1].y < bottom) bottom = points[1].y;
-    if (points[1].y > top) top = points[1].y;
-    if (points[2].y < bottom) bottom = points[2].y;
-    if (points[2].y > top) top = points[2].y;
-    return CGRectMake(left,bottom,right-left,top-bottom);
-}
-
-static int
-_shade_alpha(CGContextRef cr, CGFloat alphas[3], CGPoint points[3])
-{
-    const int imin = _find_minimum(alphas);
-    const int imax = _find_maximum(alphas);
-
-    if (alphas[imin]==1.0) return 0;
-
-    CGRect rect = _find_enclosing_rect(points);
-    const size_t width = (size_t)rect.size.width;
-    const size_t height = (size_t)rect.size.height;
-    if (width==0 || height==0) return 0;
-
-    void* data = malloc(width*height);
-
-    CGColorSpaceRef colorspace = CGColorSpaceCreateDeviceGray();
-    CGContextRef bitmap = CGBitmapContextCreate(data,
-                                                width,
-                                                height,
-                                                8,
-                                                width,
-                                                colorspace,
-                                                0);
-    CGColorSpaceRelease(colorspace);
-
-    if (imin==imax)
-    {
-        CGRect bitmap_rect = rect;
-        bitmap_rect.origin = CGPointZero;
-        CGContextSetGrayFillColor(bitmap, alphas[0], 1.0);
-        CGContextFillRect(bitmap, bitmap_rect);
-    }
-    else
-    {
-        float numerator;
-        float denominator;
-        float ac;
-        float as;
-        float phi;
-        float distance;
-        CGPoint start;
-        CGPoint end;
-        CGFloat(*gray)[2] = malloc(2*sizeof(CGFloat[2]));
-
-        static CGFunctionCallbacks callbacks = {0, &_gray_color_evaluator, free};
-        CGFloat domain[2] = {0.0, 1.0};
-        CGFloat range[2] = {0.0, 1.0};
-        CGShadingRef shading = NULL;
-        CGFunctionRef function;
-
-        gray[0][1] = 1.0;
-        gray[1][1] = 1.0;
-
-        denominator = (points[1].x-points[0].x)*(points[2].y-points[0].y)
-                    - (points[2].x-points[0].x)*(points[1].y-points[0].y);
-        numerator = (alphas[1]-alphas[0])*(points[2].y-points[0].y)
-                  - (alphas[2]-alphas[0])*(points[1].y-points[0].y);
-        ac = numerator / denominator;
-        numerator = (alphas[2]-alphas[0])*(points[1].x-points[0].x)
-                  - (alphas[1]-alphas[0])*(points[2].x-points[0].x);
-        as = numerator / denominator;
-        phi = atan2(as, ac);
-
-        start.x = points[imin].x - rect.origin.x;
-        start.y = points[imin].y - rect.origin.y;
-
-        gray[0][0] = alphas[imin];
-        gray[1][0] = alphas[imax];
-
-        distance = (points[imax].x-points[imin].x) * cos(phi) + (points[imax].y-points[imin].y) * sin(phi);
-
-        end.x = start.x + distance * cos(phi);
-        end.y = start.y + distance * sin(phi);
-
-        function = CGFunctionCreate(gray,
-                                    1, /* one input (position) */
-                                    domain,
-                                    1, /* one output (gray level) */
-                                    range,
-                                    &callbacks);
-        if (function)
-        {
-            shading = CGShadingCreateAxial(colorspace,
-                                           start,
-                                           end,
-                                           function,
-                                           true,
-                                           true);
-            CGFunctionRelease(function);
-        }
-        if (shading)
-        {
-            CGContextDrawShading(bitmap, shading);
-            CGShadingRelease(shading);
-        }
-        else
-        {
-            free(gray);
-        }
-    }
-
-    CGImageRef mask = CGBitmapContextCreateImage(bitmap);
-    CGContextClipToMask(cr, rect, mask);
-    CGImageRelease(mask);
-    CGContextRelease(bitmap);
-    free(data);
-    return 0;
-}
-
-
-static CGFloat _get_device_scale(CGContextRef cr)
-{
-    CGSize pixelSize = CGContextConvertSizeToDeviceSpace(cr, CGSizeMake(1,1));
-    return pixelSize.width;
-}
-
-
-static PyObject*
-GraphicsContext_draw_gouraud_triangle (GraphicsContext* self, PyObject* args)
-
-{
-    PyObject* coordinates;
-    PyArrayObject* coordinates_arr = 0;
-    PyObject* colors;
-    PyArrayObject* colors_arr = 0;
-
-    CGPoint points[3];
-    CGFloat intensity[3];
-
-    int i = 0;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "OO", &coordinates, &colors)) return NULL;
-
-    /* ------------------- Check coordinates array ------------------------ */
-
-    coordinates_arr = (PyArrayObject*) PyArray_FromObject(coordinates, NPY_DOUBLE, 2, 2);
-    if (!coordinates_arr ||
-        PyArray_DIM(coordinates_arr, 0) != 3 || PyArray_DIM(coordinates_arr, 1) != 2)
-    {
-        PyErr_SetString(PyExc_ValueError, "Invalid coordinates array");
-        Py_XDECREF(coordinates_arr);
-        return NULL;
-    }
-    points[0].x = *((double*)(PyArray_GETPTR2(coordinates_arr, 0, 0)));
-    points[0].y = *((double*)(PyArray_GETPTR2(coordinates_arr, 0, 1)));
-    points[1].x = *((double*)(PyArray_GETPTR2(coordinates_arr, 1, 0)));
-    points[1].y = *((double*)(PyArray_GETPTR2(coordinates_arr, 1, 1)));
-    points[2].x = *((double*)(PyArray_GETPTR2(coordinates_arr, 2, 0)));
-    points[2].y = *((double*)(PyArray_GETPTR2(coordinates_arr, 2, 1)));
-
-    /* ------------------- Check colors array ----------------------------- */
-
-    colors_arr = (PyArrayObject*) PyArray_FromObject(colors, NPY_DOUBLE, 2, 2);
-    if (!colors_arr ||
-        PyArray_DIM(colors_arr, 0) != 3 || PyArray_DIM(colors_arr, 1) != 4)
-    {
-        PyErr_SetString(PyExc_ValueError, "colors must by a 3x4 array");
-        Py_DECREF(coordinates_arr);
-        Py_XDECREF(colors_arr);
-        return NULL;
-    }
-
-    /* ----- Draw the gradients separately for each color component ------- */
-    CGContextSaveGState(cr);
-    CGContextMoveToPoint(cr, points[0].x, points[0].y);
-    CGContextAddLineToPoint(cr, points[1].x, points[1].y);
-    CGContextAddLineToPoint(cr, points[2].x, points[2].y);
-    CGContextClip(cr);
-    intensity[0] = *((double*)(PyArray_GETPTR2(colors_arr, 0, 3)));
-    intensity[1] = *((double*)(PyArray_GETPTR2(colors_arr, 1, 3)));
-    intensity[2] = *((double*)(PyArray_GETPTR2(colors_arr, 2, 3)));
-    if (_shade_alpha(cr, intensity, points)!=-1) {
-        CGContextBeginTransparencyLayer(cr, NULL);
-        CGContextSetBlendMode(cr, kCGBlendModeScreen);
-        for (i = 0; i < 3; i++)
-        {
-            intensity[0] = *((double*)(PyArray_GETPTR2(colors_arr, 0, i)));
-            intensity[1] = *((double*)(PyArray_GETPTR2(colors_arr, 1, i)));
-            intensity[2] = *((double*)(PyArray_GETPTR2(colors_arr, 2, i)));
-            if (!_shade_one_color(cr, intensity, points, i)) break;
-        }
-        CGContextEndTransparencyLayer(cr);
-    }
-    CGContextRestoreGState(cr);
-
-    Py_DECREF(coordinates_arr);
-    Py_DECREF(colors_arr);
-
-    if (i < 3) /* break encountered */
-    {
-        PyErr_SetString(PyExc_MemoryError, "insufficient memory in draw_gouraud_triangle");
-        return NULL;
-    }
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-#ifdef COMPILING_FOR_10_5
-static CTFontRef
-#else
-static ATSFontRef
-#endif
-setfont(CGContextRef cr, PyObject* family, float size, const char weight[],
-        const char italic[])
-{
-#define NMAP 40
-#define NFONT 31
-    int i, j, n;
-    const char* temp;
-    const char* name = "Times-Roman";
-    CFStringRef string;
-#ifdef COMPILING_FOR_10_5
-    CTFontRef font = 0;
-#else
-    ATSFontRef font = 0;
-#endif
-    PyObject* ascii = NULL;
-
-    const int k = (strcmp(italic, "italic") ? 0 : 2)
-                + (strcmp(weight, "bold") ? 0 : 1);
-
-    struct {char* name; int index;} map[NMAP] = {
-        {"New Century Schoolbook", 0},
-        {"Century Schoolbook L", 0},
-        {"Utopia", 1},
-        {"ITC Bookman", 2},
-        {"Bookman", 2},
-        {"Bitstream Vera Serif", 3},
-        {"Nimbus Roman No9 L", 4},
-        {"Times New Roman", 5},
-        {"Times", 6},
-        {"Palatino", 7},
-        {"Charter", 8},
-        {"serif", 0},
-        {"Lucida Grande", 9},
-        {"Verdana", 10},
-        {"Geneva", 11},
-        {"Lucida", 12},
-        {"Bitstream Vera Sans", 13},
-        {"Arial", 14},
-        {"Helvetica", 15},
-        {"Avant Garde", 16},
-        {"sans-serif", 15},
-        {"Apple Chancery", 17},
-        {"Textile", 18},
-        {"Zapf Chancery", 19},
-        {"Sand", 20},
-        {"cursive", 17},
-        {"Comic Sans MS", 21},
-        {"Chicago", 22},
-        {"Charcoal", 23},
-        {"Impact", 24},
-        {"Western", 25},
-        {"fantasy", 21},
-        {"Andale Mono", 26},
-        {"Bitstream Vera Sans Mono", 27},
-        {"Nimbus Mono L", 28},
-        {"Courier", 29},
-        {"Courier New", 30},
-        {"Fixed", 30},
-        {"Terminal", 30},
-        {"monospace", 30},
-    };
-
-    const char* psnames[NFONT][4] = {
-      {"CenturySchoolbook",                   /* 0 */
-       "CenturySchoolbook-Bold",
-       "CenturySchoolbook-Italic",
-       "CenturySchoolbook-BoldItalic"},
-      {"Utopia",                              /* 1 */
-       "Utopia-Bold",
-       "Utopia-Italic",
-       "Utopia-BoldItalic"},
-      {"Bookman-Light",                       /* 2 */
-       "Bookman-Bold",
-       "Bookman-LightItalic",
-       "Bookman-BoldItalic"},
-      {"BitstreamVeraSerif-Roman",            /* 3 */
-       "BitstreamVeraSerif-Bold",
-       "",
-       ""},
-      {"NimbusRomNo9L-Reg",                   /* 4 */
-       "NimbusRomNo9T-Bol",
-       "NimbusRomNo9L-RegIta",
-       "NimbusRomNo9T-BolIta"},
-      {"TimesNewRomanPSMT",                   /* 5 */
-       "TimesNewRomanPS-BoldMT",
-       "TimesNewRomanPS-ItalicMT",
-       "TimesNewRomanPS-BoldItalicMT"},
-      {"Times-Roman",                         /* 6 */
-       "Times-Bold",
-       "Times-Italic",
-       "Times-BoldItalic"},
-      {"Palatino-Roman",                      /* 7 */
-       "Palatino-Bold",
-       "Palatino-Italic",
-       "Palatino-BoldItalic"},
-      {"CharterBT-Roman",                     /* 8 */
-       "CharterBT-Bold",
-       "CharterBT-Italic",
-       "CharterBT-BoldItalic"},
-      {"LucidaGrande",                        /* 9 */
-       "LucidaGrande-Bold",
-       "",
-       ""},
-      {"Verdana",                            /* 10 */
-       "Verdana-Bold",
-       "Verdana-Italic",
-       "Verdana-BoldItalic"},
-      {"Geneva",                             /* 11 */
-       "",
-       "",
-       ""},
-      {"LucidaSans",                         /* 12 */
-       "LucidaSans-Demi",
-       "LucidaSans-Italic",
-       "LucidaSans-DemiItalic"},
-      {"BitstreamVeraSans-Roman",            /* 13 */
-       "BitstreamVeraSans-Bold",
-       "BitstreamVeraSans-Oblique",
-       "BitstreamVeraSans-BoldOblique"},
-      {"ArialMT",                            /* 14 */
-       "Arial-BoldMT",
-       "Arial-ItalicMT",
-       "Arial-BoldItalicMT"},
-      {"Helvetica",                          /* 15 */
-       "Helvetica-Bold",
-       "Arial-ItalicMT",
-       "Arial-BoldItalicMT"},
-      {"AvantGardeITC-Book",                 /* 16 */
-       "AvantGardeITC-Demi",
-       "AvantGardeITC-BookOblique",
-       "AvantGardeITC-DemiOblique"},
-      {"Apple-Chancery",                     /* 17 */
-       "",
-       "",
-       ""},
-      {"TextileRegular",                     /* 18 */
-       "",
-       "",
-       ""},
-      {"ZapfChancery-Roman",                 /* 19 */
-       "ZapfChancery-Bold",
-       "ZapfChancery-Italic",
-       "ZapfChancery-MediumItalic"},
-      {"SandRegular",                        /* 20 */
-       "",
-       "",
-       ""},
-      {"ComicSansMS",                        /* 21 */
-       "ComicSansMS-Bold",
-       "",
-       ""},
-      {"Chicago",                            /* 22 */
-       "",
-       "",
-       ""},
-      {"Charcoal",                           /* 23 */
-       "",
-       "",
-       ""},
-      {"Impact",                             /* 24 */
-       "",
-       "",
-       ""},
-      {"Playbill",                           /* 25 */
-       "",
-       "",
-       ""},
-      {"AndaleMono",                         /* 26 */
-       "",
-       "",
-       ""},
-      {"BitstreamVeraSansMono-Roman",        /* 27 */
-       "BitstreamVeraSansMono-Bold",
-       "BitstreamVeraSansMono-Oblique",
-       "BitstreamVeraSansMono-BoldOb"},
-      {"NimbusMonL-Reg",                     /* 28 */
-       "NimbusMonL-Bol",
-       "NimbusMonL-RegObl",
-       "NimbusMonL-BolObl"},
-      {"Courier",                            /* 29 */
-       "Courier-Bold",
-       "",
-       ""},
-      {"CourierNewPS",                       /* 30 */
-       "CourierNewPS-BoldMT",
-       "CourierNewPS-ItalicMT",
-       "CourierNewPS-Bold-ItalicMT"},
-    };
-
-    if(!PyList_Check(family))
-    {
-        PyErr_SetString(PyExc_ValueError, "family should be a list");
-        return 0;
-    }
-    n = PyList_GET_SIZE(family);
-
-    for (i = 0; i < n; i++)
-    {
-        PyObject* item = PyList_GET_ITEM(family, i);
-        ascii = PyUnicode_AsASCIIString(item);
-        if(!ascii)
-        {
-            PyErr_SetString(PyExc_ValueError,
-                            "failed to convert font family name to ASCII");
-            return 0;
-        }
-        temp = PyBytes_AS_STRING(ascii);
-        for (j = 0; j < NMAP; j++)
-        {    if (!strcmp(map[j].name, temp))
-             {    temp = psnames[map[j].index][k];
-                  break;
-             }
-        }
-        /* If the font name is not found in mapping, we assume */
-        /* that the user specified the Postscript name directly */
-
-        /* Check if this font can be found on the system */
-        string = CFStringCreateWithCString(kCFAllocatorDefault,
-                                           temp,
-                                           kCFStringEncodingMacRoman);
-#ifdef COMPILING_FOR_10_5
-        font = CTFontCreateWithName(string, size, NULL);
-#else
-        font = ATSFontFindFromPostScriptName(string, kATSOptionFlagsDefault);
-#endif
-
-        CFRelease(string);
-
-        if(font)
-        {
-            name = temp;
-            break;
-        }
-        Py_DECREF(ascii);
-        ascii = NULL;
-    }
-    if(!font)
-    {   string = CFStringCreateWithCString(kCFAllocatorDefault,
-                                           name,
-                                           kCFStringEncodingMacRoman);
-#ifdef COMPILING_FOR_10_5
-        font = CTFontCreateWithName(string, size, NULL);
-#else
-        font = ATSFontFindFromPostScriptName(string, kATSOptionFlagsDefault);
-#endif
-        CFRelease(string);
-    }
-    if (font == NULL)
-    {
-        PyErr_SetString(PyExc_ValueError, "Could not load font");
-    }
-#ifndef COMPILING_FOR_10_5
-    else {
-        CGContextSelectFont(cr, name, size, kCGEncodingMacRoman);
-    }
-#endif
-#if PY3K
-    Py_XDECREF(ascii);
-#endif
-    return font;
-}
-
-#ifdef COMPILING_FOR_10_5
-static PyObject*
-GraphicsContext_draw_text (GraphicsContext* self, PyObject* args)
-{
-    float x;
-    float y;
-    int n;
-    PyObject* family;
-    float size;
-    const char* weight;
-    const char* italic;
-    float angle;
-    CTFontRef font;
-    CGColorRef color;
-    CGFloat descent;
-#if PY33
-    const char* text;
-#else
-    const UniChar* text;
-#endif
-
-    CFStringRef keys[2];
-    CFTypeRef values[2];
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-#if PY33
-    if(!PyArg_ParseTuple(args, "ffs#Ofssf",
-                                &x,
-                                &y,
-                                &text,
-                                &n,
-                                &family,
-                                &size,
-                                &weight,
-                                &italic,
-                                &angle)) return NULL;
-    CFStringRef s = CFStringCreateWithCString(kCFAllocatorDefault, text, kCFStringEncodingUTF8);
-#else
-    if(!PyArg_ParseTuple(args, "ffu#Ofssf",
-                                &x,
-                                &y,
-                                &text,
-                                &n,
-                                &family,
-                                &size,
-                                &weight,
-                                &italic,
-                                &angle)) return NULL;
-    CFStringRef s = CFStringCreateWithCharacters(kCFAllocatorDefault, text, n);
-#endif
-
-    if (!(font = setfont(cr, family, size, weight, italic)))
-    {
-        CFRelease(s);
-        return NULL;
-    }
-
-    color = CGColorCreateGenericRGB(self->color[0],
-                                    self->color[1],
-                                    self->color[2],
-                                    self->color[3]);
-
-    keys[0] = kCTFontAttributeName;
-    keys[1] = kCTForegroundColorAttributeName;
-    values[0] = font;
-    values[1] = color;
-    CFDictionaryRef attributes = CFDictionaryCreate(kCFAllocatorDefault,
-                                        (const void**)&keys,
-                                        (const void**)&values,
-                                        2,
-                                        &kCFTypeDictionaryKeyCallBacks,
-                                        &kCFTypeDictionaryValueCallBacks);
-    CGColorRelease(color);
-    CFRelease(font);
-
-    CFAttributedStringRef string = CFAttributedStringCreate(kCFAllocatorDefault,
-                                                            s,
-                                                            attributes);
-    CFRelease(s);
-    CFRelease(attributes);
-
-    CTLineRef line = CTLineCreateWithAttributedString(string);
-    CFRelease(string);
-
-    CTLineGetTypographicBounds(line, NULL, &descent, NULL);
-
-    if (!line)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-                        "CTLineCreateWithAttributedString failed");
-        return NULL;
-    }
-
-    CGContextSetTextMatrix(cr, CGAffineTransformIdentity);
-    if (angle)
-    {
-        CGContextSaveGState(cr);
-        CGContextTranslateCTM(cr, x, y);
-        CGContextRotateCTM(cr, angle*M_PI/180);
-        CTLineDraw(line, cr);
-        CGContextRestoreGState(cr);
-    }
-    else
-    {
-        CGContextSetTextPosition(cr, x, y);
-        CTLineDraw(line, cr);
-    }
-    CFRelease(line);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_get_text_width_height_descent(GraphicsContext* self, PyObject* args)
-{
-    int n;
-    PyObject* family;
-    float size;
-    const char* weight;
-    const char* italic;
-
-#if PY33
-    const char* text;
-#else
-    const UniChar* text;
-#endif
-
-    CGFloat ascent;
-    CGFloat descent;
-    double width;
-    CGRect rect;
-
-    CTFontRef font;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-#if PY33
-    if(!PyArg_ParseTuple(args, "s#Ofss",
-                                &text,
-                                &n,
-                                &family,
-                                &size,
-                                &weight,
-                                &italic)) return NULL;
-    CFStringRef s = CFStringCreateWithCString(kCFAllocatorDefault, text, kCFStringEncodingUTF8);
-#else
-    if(!PyArg_ParseTuple(args, "u#Ofss",
-                                &text,
-                                &n,
-                                &family,
-                                &size,
-                                &weight,
-                                &italic)) return NULL;
-    CFStringRef s = CFStringCreateWithCharacters(kCFAllocatorDefault, text, n);
-#endif
-
-    if (!(font = setfont(cr, family, size, weight, italic)))
-    {
-        CFRelease(s);
-        return NULL;
-    };
-
-    CFStringRef keys[1];
-    CFTypeRef values[1];
-
-    keys[0] = kCTFontAttributeName;
-    values[0] = font;
-    CFDictionaryRef attributes = CFDictionaryCreate(kCFAllocatorDefault,
-                                        (const void**)&keys,
-                                        (const void**)&values,
-                                        1,
-                                        &kCFTypeDictionaryKeyCallBacks,
-                                        &kCFTypeDictionaryValueCallBacks);
-    CFRelease(font);
-
-    CFAttributedStringRef string = CFAttributedStringCreate(kCFAllocatorDefault,
-                                                            s,
-                                                            attributes);
-    CFRelease(s);
-    CFRelease(attributes);
-
-    CTLineRef line = CTLineCreateWithAttributedString(string);
-    CFRelease(string);
-
-    if (!line)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-                        "CTLineCreateWithAttributedString failed");
-        return NULL;
-    }
-
-    width = CTLineGetTypographicBounds(line, &ascent, &descent, NULL);
-    rect = CTLineGetImageBounds(line, cr);
-
-    CFRelease(line);
-
-    return Py_BuildValue("fff", width, rect.size.height, descent);
-}
-
-#else // Text drawing for OSX versions <10.5
-
-static PyObject*
-GraphicsContext_draw_text (GraphicsContext* self, PyObject* args)
-{
-    float x;
-    float y;
-    const UniChar* text;
-    int n;
-    PyObject* family;
-    float size;
-    const char* weight;
-    const char* italic;
-    float angle;
-    ATSFontRef atsfont;
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-    if(!PyArg_ParseTuple(args, "ffu#Ofssf",
-                                &x,
-                                &y,
-                                &text,
-                                &n,
-                                &family,
-                                &size,
-                                &weight,
-                                &italic,
-                                &angle)) return NULL;
-
-    if (!(atsfont = setfont(cr, family, size, weight, italic)))
-    {
-        return NULL;
-    }
-
-    OSStatus status;
-
-    ATSUAttributeTag tags[] =  {kATSUFontTag, kATSUSizeTag, kATSUQDBoldfaceTag};
-    ByteCount sizes[] = {sizeof(ATSUFontID), sizeof(Fixed), sizeof(Boolean)};
-    Fixed atsuSize = Long2Fix(size);
-    Boolean isBold = FALSE; /* setfont takes care of this */
-
-    ATSUAttributeValuePtr values[] = {&atsfont, &atsuSize, &isBold};
-    status = ATSUSetAttributes(style, 3, tags, sizes, values);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetAttributes failed");
-        return NULL;
-    }
-
-    status = ATSUSetTextPointerLocation(layout,
-                    text,
-                    kATSUFromTextBeginning,  /* offset from beginning */
-                    kATSUToTextEnd,          /* length of text range */
-                    n);                      /* length of text buffer */
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-                        "ATSUCreateTextLayoutWithTextPtr failed");
-        return NULL;
-    }
-
-    status = ATSUSetRunStyle(layout,
-                             style,
-                             kATSUFromTextBeginning,
-                             kATSUToTextEnd);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetRunStyle failed");
-        return NULL;
-    }
-
-    Fixed atsuAngle = X2Fix(angle);
-    ATSUAttributeTag tags2[] = {kATSUCGContextTag, kATSULineRotationTag};
-    ByteCount sizes2[] = {sizeof (CGContextRef), sizeof(Fixed)};
-    ATSUAttributeValuePtr values2[] = {&cr, &atsuAngle};
-    status = ATSUSetLayoutControls(layout, 2, tags2, sizes2, values2);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetLayoutControls failed");
-        return NULL;
-    }
-
-    status = ATSUDrawText(layout,
-                          kATSUFromTextBeginning,
-                          kATSUToTextEnd,
-                          X2Fix(x),
-                          X2Fix(y));
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUDrawText failed");
-        return NULL;
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_get_text_width_height_descent(GraphicsContext* self, PyObject* args)
-{
-    const UniChar* text;
-    int n;
-    PyObject* family;
-    float size;
-    const char* weight;
-    const char* italic;
-
-    ATSFontRef atsfont;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "u#Ofss", &text, &n, &family, &size, &weight, &italic)) return NULL;
-
-    if (!(atsfont = setfont(cr, family, size, weight, italic)))
-    {
-        return NULL;
-    }
-
-    OSStatus status = noErr;
-    ATSUAttributeTag tags[] = {kATSUFontTag,
-                               kATSUSizeTag,
-                               kATSUQDBoldfaceTag,
-                               kATSUQDItalicTag};
-    ByteCount sizes[] = {sizeof(ATSUFontID),
-                         sizeof(Fixed),
-                         sizeof(Boolean),
-                         sizeof(Boolean)};
-    Fixed atsuSize = Long2Fix(size);
-    Boolean isBold = FALSE; /* setfont takes care of this */
-    Boolean isItalic = FALSE; /* setfont takes care of this */
-    ATSUAttributeValuePtr values[] = {&atsfont, &atsuSize, &isBold, &isItalic};
-
-    status = ATSUSetAttributes(style, 4, tags, sizes, values);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetAttributes failed");
-        return NULL;
-    }
-
-    status = ATSUSetTextPointerLocation(layout,
-                    text,
-                    kATSUFromTextBeginning,  /* offset from beginning */
-                    kATSUToTextEnd,          /* length of text range */
-                    n);                      /* length of text buffer */
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError,
-                        "ATSUCreateTextLayoutWithTextPtr failed");
-        return NULL;
-    }
-
-    status = ATSUSetRunStyle(layout,
-                             style,
-                             kATSUFromTextBeginning,
-                             kATSUToTextEnd);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetRunStyle failed");
-        return NULL;
-    }
-
-    ATSUAttributeTag tag = kATSUCGContextTag;
-    ByteCount bc = sizeof (CGContextRef);
-    ATSUAttributeValuePtr value = &cr;
-    status = ATSUSetLayoutControls(layout, 1, &tag, &bc, &value);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUSetLayoutControls failed");
-        return NULL;
-    }
-
-    ATSUTextMeasurement before;
-    ATSUTextMeasurement after;
-    ATSUTextMeasurement ascent;
-    ATSUTextMeasurement descent;
-    status = ATSUGetUnjustifiedBounds(layout,
-                                      kATSUFromTextBeginning, kATSUToTextEnd,
-                                      &before, &after, &ascent, &descent);
-    if (status!=noErr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "ATSUGetUnjustifiedBounds failed");
-        return NULL;
-    }
-
-    const float width = FixedToFloat(after-before);
-    const float height = FixedToFloat(ascent-descent);
-
-    return Py_BuildValue("fff", width, height, FixedToFloat(descent));
-}
-#endif
-
-static void _data_provider_release(void* info, const void* data, size_t size)
-{
-    PyObject* image = (PyObject*)info;
-    Py_DECREF(image);
-}
-
-
-
-
-static PyObject*
-GraphicsContext_draw_mathtext(GraphicsContext* self, PyObject* args)
-{
-    float x, y, angle;
-    npy_intp nrows, ncols;
-    int n;
-
-    PyObject* object;
-    PyArrayObject* image;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "fffO", &x, &y, &angle, &object)) return NULL;
-
-    /* ------------- Check the image ---------------------------- */
-    if(!PyArray_Check (object))
-    {
-        PyErr_SetString(PyExc_TypeError, "image should be a NumPy array.");
-        return NULL;
-    }
-    image = (PyArrayObject*) object;
-    if(PyArray_NDIM(image) != 2)
-    {
-        PyErr_Format(PyExc_TypeError,
-                         "image has incorrect rank (%d expected 2)",
-                         PyArray_NDIM(image));
-        return NULL;
-    }
-    if (PyArray_TYPE(image) != NPY_UBYTE)
-    {
-        PyErr_SetString(PyExc_TypeError,
-                        "image has incorrect type (should be uint8)");
-        return NULL;
-    }
-    if (!PyArray_ISCONTIGUOUS(image))
-    {
-        PyErr_SetString(PyExc_TypeError, "image array is not contiguous");
-        return NULL;
-    }
-
-    nrows = PyArray_DIM(image, 0);
-    ncols = PyArray_DIM(image, 1);
-    if (nrows != (int) nrows || ncols != (int) ncols)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "bitmap image too large");
-        return NULL;
-    }
-    n = nrows * ncols;
-    Py_INCREF(object);
-
-    const size_t bytesPerComponent = 1;
-    const size_t bitsPerComponent = 8 * bytesPerComponent;
-    const size_t nComponents = 1; /* gray */
-    const size_t bitsPerPixel = bitsPerComponent * nComponents;
-    const size_t bytesPerRow = nComponents * bytesPerComponent * ncols;
-    CGDataProviderRef provider = CGDataProviderCreateWithData(object,
-                                                              PyArray_DATA(image),
-                                                              n,
-                                                              _data_provider_release);
-    CGImageRef bitmap = CGImageMaskCreate ((int) ncols,
-                                           (int) nrows,
-                                           bitsPerComponent,
-                                           bitsPerPixel,
-                                           bytesPerRow,
-                                           provider,
-                                           NULL,
-                                           false);
-    CGDataProviderRelease(provider);
-
-    if(!bitmap)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGImageMaskCreate failed");
-        return NULL;
-    }
-
-    CGFloat deviceScale = _get_device_scale(cr);
-
-    if (angle==0.0)
-    {
-        CGContextDrawImage(cr, CGRectMake(x, y, ncols/deviceScale, nrows/deviceScale), bitmap);
-    }
-    else
-    {
-        CGContextSaveGState(cr);
-        CGContextTranslateCTM(cr, x, y);
-        CGContextRotateCTM(cr, angle*M_PI/180);
-        CGContextDrawImage(cr, CGRectMake(0, 0, ncols/deviceScale, nrows/deviceScale), bitmap);
-        CGContextRestoreGState(cr);
-    }
-    CGImageRelease(bitmap);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_draw_image(GraphicsContext* self, PyObject* args)
-{
-    float x, y;
-    int nrows, ncols;
-    const char* data;
-    int n;
-    PyObject* image;
-
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    if(!PyArg_ParseTuple(args, "ffiiO", &x,
-                                        &y,
-                                        &nrows,
-                                        &ncols,
-                                        &image)) return NULL;
-
-    CGColorSpaceRef colorspace;
-    CGDataProviderRef provider;
-
-    if (!PyBytes_Check(image))
-    {
-#if PY3K
-        PyErr_SetString(PyExc_RuntimeError, "image is not a bytes object");
-#else
-        PyErr_SetString(PyExc_RuntimeError, "image is not a str object");
-#endif
-        return NULL;
-    }
-
-    const size_t bytesPerComponent = 1;
-    const size_t bitsPerComponent = 8 * bytesPerComponent;
-    const size_t nComponents = 4; /* red, green, blue, alpha */
-    const size_t bitsPerPixel = bitsPerComponent * nComponents;
-    const size_t bytesPerRow = nComponents * bytesPerComponent * ncols;
-
-    colorspace = CGColorSpaceCreateWithName(kCGColorSpaceGenericRGB);
-    if (!colorspace)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "failed to create a color space");
-        return NULL;
-    }
-
-    Py_INCREF(image);
-#ifdef PY3K
-    n = PyBytes_GET_SIZE(image);
-    data = PyBytes_AS_STRING(image);
-#else
-    n = PyString_GET_SIZE(image);
-    data = PyString_AS_STRING(image);
-#endif
-
-    provider = CGDataProviderCreateWithData(image,
-                                            data,
-                                            n,
-                                            _data_provider_release);
-    CGImageRef bitmap = CGImageCreate (ncols,
-                                       nrows,
-                                       bitsPerComponent,
-                                       bitsPerPixel,
-                                       bytesPerRow,
-                                       colorspace,
-                                       kCGImageAlphaLast,
-                                       provider,
-                                       NULL,
-                                       false,
-				       kCGRenderingIntentDefault);
-    CGColorSpaceRelease(colorspace);
-    CGDataProviderRelease(provider);
-
-    if(!bitmap)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGImageMaskCreate failed");
-        return NULL;
-    }
-
-    CGFloat deviceScale = _get_device_scale(cr);
-
-    CGContextDrawImage(cr, CGRectMake(x, y, ncols/deviceScale, nrows/deviceScale), bitmap);
-    CGImageRelease(bitmap);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-GraphicsContext_get_image_magnification(GraphicsContext* self)
-{
-    CGContextRef cr = self->cr;
-    if (!cr)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "CGContextRef is NULL");
-        return NULL;
-    }
-
-    return PyFloat_FromDouble(_get_device_scale(cr));
-}
-
-
-static PyMethodDef GraphicsContext_methods[] = {
-    {"save",
-     (PyCFunction)GraphicsContext_save,
-     METH_NOARGS,
-     "Saves the current graphics context onto the stack."
-    },
-    {"restore",
-     (PyCFunction)GraphicsContext_restore,
-     METH_NOARGS,
-     "Restores the current graphics context from the stack."
-    },
-    {"get_text_width_height_descent",
-     (PyCFunction)GraphicsContext_get_text_width_height_descent,
-     METH_VARARGS,
-     "Returns the width, height, and descent of the text."
-    },
-    {"set_alpha",
-     (PyCFunction)GraphicsContext_set_alpha,
-      METH_VARARGS,
-     "Sets the opacitiy level for objects drawn in a graphics context"
-    },
-    {"set_antialiased",
-     (PyCFunction)GraphicsContext_set_antialiased,
-     METH_VARARGS,
-     "Sets anti-aliasing on or off for a graphics context."
-    },
-    {"set_capstyle",
-     (PyCFunction)GraphicsContext_set_capstyle,
-     METH_VARARGS,
-     "Sets the style for the endpoints of lines in a graphics context."
-    },
-    {"set_clip_rectangle",
-     (PyCFunction)GraphicsContext_set_clip_rectangle,
-     METH_VARARGS,
-     "Sets the clipping path to the area defined by the specified rectangle."
-    },
-    {"set_clip_path",
-     (PyCFunction)GraphicsContext_set_clip_path,
-     METH_VARARGS,
-     "Sets the clipping path."
-    },
-    {"set_dashes",
-     (PyCFunction)GraphicsContext_set_dashes,
-     METH_VARARGS,
-     "Sets the pattern for dashed lines in a graphics context."
-    },
-    {"set_foreground",
-     (PyCFunction)GraphicsContext_set_foreground,
-     METH_VARARGS,
-     "Sets the current stroke and fill color to a value in the DeviceRGB color space."
-    },
-    {"set_graylevel",
-     (PyCFunction)GraphicsContext_set_graylevel,
-     METH_VARARGS,
-     "Sets the current stroke and fill color to a value in the DeviceGray color space."
-    },
-    {"set_dpi",
-     (PyCFunction)GraphicsContext_set_dpi,
-     METH_VARARGS,
-     "Sets the dpi for a graphics context."
-    },
-    {"set_linewidth",
-     (PyCFunction)GraphicsContext_set_linewidth,
-     METH_VARARGS,
-     "Sets the line width for a graphics context."
-    },
-    {"set_joinstyle",
-     (PyCFunction)GraphicsContext_set_joinstyle,
-     METH_VARARGS,
-     "Sets the style for the joins of connected lines in a graphics context."
-    },
-    {"draw_path",
-     (PyCFunction)GraphicsContext_draw_path,
-     METH_VARARGS,
-     "Draw a path in the graphics context and strokes and (if rgbFace is not None) fills it."
-    },
-    {"draw_markers",
-     (PyCFunction)GraphicsContext_draw_markers,
-     METH_VARARGS,
-     "Draws a marker in the graphics context at each of the vertices in path."
-    },
-    {"draw_path_collection",
-     (PyCFunction)GraphicsContext_draw_path_collection,
-     METH_VARARGS,
-     "Draw a collection of paths in the graphics context."
-    },
-    {"draw_quad_mesh",
-     (PyCFunction)GraphicsContext_draw_quad_mesh,
-     METH_VARARGS,
-     "Draws a mesh in the graphics context."
-    },
-    {"draw_gouraud_triangle",
-     (PyCFunction)GraphicsContext_draw_gouraud_triangle,
-     METH_VARARGS,
-     "Draws a Gouraud-shaded triangle in the graphics context."
-    },
-    {"draw_text",
-     (PyCFunction)GraphicsContext_draw_text,
-     METH_VARARGS,
-     "Draw a string at (x,y) with the given properties in the graphics context."
-    },
-    {"draw_mathtext",
-     (PyCFunction)GraphicsContext_draw_mathtext,
-     METH_VARARGS,
-     "Draw a TeX string at (x,y) as a bitmap in the graphics context."
-    },
-    {"draw_image",
-     (PyCFunction)GraphicsContext_draw_image,
-     METH_VARARGS,
-     "Draw an image at (x,y) in the graphics context."
-    },
-    {"get_image_magnification",
-     (PyCFunction)GraphicsContext_get_image_magnification,
-     METH_NOARGS,
-     "Returns the scale factor between user and device coordinates."
-    },
-    {NULL}  /* Sentinel */
-};
-
-static char GraphicsContext_doc[] =
-"A GraphicsContext object wraps a Quartz 2D graphics context\n"
-"(CGContextRef). Most methods either draw into the graphics context\n"
-"(moveto, lineto, etc.) or set the drawing properties (set_linewidth,\n"
-"set_joinstyle, etc.).\n";
-
-static PyTypeObject GraphicsContextType = {
-    PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.GraphicsContext", /*tp_name*/
-    sizeof(GraphicsContext),   /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-#ifdef COMPILING_FOR_10_5
-    0,                         /*tp_dealloc*/
-#else
-    (destructor)GraphicsContext_dealloc,     /*tp_dealloc*/
-#endif
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)GraphicsContext_repr,     /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    GraphicsContext_doc,       /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    GraphicsContext_methods,   /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    0,                         /* tp_init */
-    0,                         /* tp_alloc */
-    GraphicsContext_new,       /* tp_new */
-};
-
-typedef struct {
-    PyObject_HEAD
-    View* view;
-} FigureCanvas;
-
-static PyObject*
-FigureCanvas_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    FigureCanvas *self = (FigureCanvas*)type->tp_alloc(type, 0);
-    if (!self) return NULL;
-    self->view = [View alloc];
-    return (PyObject*)self;
-}
-
-static int
-FigureCanvas_init(FigureCanvas *self, PyObject *args, PyObject *kwds)
-{
-    int width;
-    int height;
-    if(!self->view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return -1;
-    }
-
-    if(!PyArg_ParseTuple(args, "ii", &width, &height)) return -1;
-
-    NSRect rect = NSMakeRect(0.0, 0.0, width, height);
-    self->view = [self->view initWithFrame: rect];
-    [self->view setCanvas: (PyObject*)self];
-    return 0;
-}
-
-static void
-FigureCanvas_dealloc(FigureCanvas* self)
-{
-    if (self->view)
-    {
-        [self->view setCanvas: NULL];
-        [self->view release];
-    }
-    Py_TYPE(self)->tp_free((PyObject*)self);
-}
-
-static PyObject*
-FigureCanvas_repr(FigureCanvas* self)
-{
-#if PY3K
-    return PyUnicode_FromFormat("FigureCanvas object %p wrapping NSView %p",
-                               (void*)self, (void*)(self->view));
-#else
-    return PyString_FromFormat("FigureCanvas object %p wrapping NSView %p",
-                               (void*)self, (void*)(self->view));
-#endif
-}
-
-static PyObject*
-FigureCanvas_draw(FigureCanvas* self)
-{
-    View* view = self->view;
-
-    if(view) /* The figure may have been closed already */
-    {
-        /* Whereas drawRect creates its own autorelease pool, apparently
-         * [view display] also needs one. Create and release it here. */
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        [view display];
-        [pool release];
-    }
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_invalidate(FigureCanvas* self)
-{
-    View* view = self->view;
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return NULL;
-    }
-    [view setNeedsDisplay: YES];
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_flush_events(FigureCanvas* self)
-{
-    View* view = self->view;
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return NULL;
-    }
-    [view displayIfNeeded];
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_set_rubberband(FigureCanvas* self, PyObject *args)
-{
-    View* view = self->view;
-    int x0, y0, x1, y1;
-    NSRect rubberband;
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return NULL;
-    }
-    if(!PyArg_ParseTuple(args, "iiii", &x0, &y0, &x1, &y1)) return NULL;
-    if (x1 > x0)
-    {
-        rubberband.origin.x = x0;
-        rubberband.size.width = x1 - x0;
-    }
-    else
-    {
-        rubberband.origin.x = x1;
-        rubberband.size.width = x0 - x1;
-    }
-    if (y1 > y0)
-    {
-        rubberband.origin.y = y0;
-        rubberband.size.height = y1 - y0;
-    }
-    else
-    {
-        rubberband.origin.y = y1;
-        rubberband.size.height = y0 - y1;
-    }
-    [view setRubberband: rubberband];
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_remove_rubberband(FigureCanvas* self)
-{
-    View* view = self->view;
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return NULL;
-    }
-    [view removeRubberband];
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static NSImage* _read_ppm_image(PyObject* obj)
-{
-    int width;
-    int height;
-    const char* data;
-    int n;
-    int i;
-    NSBitmapImageRep* bitmap;
-    unsigned char* bitmapdata;
-
-    if (!obj) return NULL;
-    if (!PyTuple_Check(obj)) return NULL;
-    if (!PyArg_ParseTuple(obj, "iit#", &width, &height, &data, &n)) return NULL;
-    if (width*height*3 != n) return NULL; /* RGB image uses 3 colors / pixel */
-
-    bitmap = [[NSBitmapImageRep alloc]
-                  initWithBitmapDataPlanes: NULL
-                                pixelsWide: width
-                                pixelsHigh: height
-                             bitsPerSample: 8
-                           samplesPerPixel: 3
-                                  hasAlpha: NO
-                                  isPlanar: NO
-                            colorSpaceName: NSDeviceRGBColorSpace
-                              bitmapFormat: 0
-                               bytesPerRow: width*3
-                               bitsPerPixel: 24];
-    if (!bitmap) return NULL;
-    bitmapdata = [bitmap bitmapData];
-    for (i = 0; i < n; i++) bitmapdata[i] = data[i];
-
-    NSSize size = NSMakeSize(width, height);
-    NSImage* image = [[NSImage alloc] initWithSize: size];
-    if (image) [image addRepresentation: bitmap];
-
-    [bitmap release];
-
-    return image;
-}
-
-static PyObject*
-FigureCanvas_write_bitmap(FigureCanvas* self, PyObject* args)
-{
-    View* view = self->view;
-    int n;
-    const unichar* characters;
-    NSSize size;
-    double width, height, dpi;
-
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return NULL;
-    }
-    /* NSSize contains CGFloat; cannot use size directly */
-    if(!PyArg_ParseTuple(args, "u#ddd",
-                                &characters, &n, &width, &height, &dpi)) return NULL;
-    size.width = width;
-    size.height = height;
-
-    /* This function may be called from inside the event loop, when an
-     * autorelease pool is available, or from Python, when no autorelease
-     * pool is available. To be able to handle the latter case, we need to
-     * create an autorelease pool here. */
-
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-
-    NSRect rect = [view bounds];
-
-    NSString* filename = [NSString stringWithCharacters: characters
-                                                 length: (unsigned)n];
-    NSString* extension = [filename pathExtension];
-
-    /* Calling dataWithPDFInsideRect on the view causes its update status
-     * to be cleared. Save the status here, and invalidate the view if not
-     * up to date after calling dataWithPDFInsideRect. */
-    const BOOL invalid = [view needsDisplay];
-    NSData* data = [view dataWithPDFInsideRect: rect];
-    if (invalid) [view setNeedsDisplay: YES];
-
-    NSImage* image = [[NSImage alloc] initWithData: data];
-    NSImage *resizedImage = [[NSImage alloc] initWithSize:size];
-
-    [resizedImage lockFocus];
-    [image drawInRect:NSMakeRect(0, 0, width, height) fromRect:NSZeroRect operation:NSCompositeSourceOver fraction:1.0];
-    [resizedImage unlockFocus];
-    data = [resizedImage TIFFRepresentation];
-    [image release];
-    [resizedImage release];
-
-    NSBitmapImageRep* rep = [NSBitmapImageRep imageRepWithData:data];
-
-    NSSize pxlSize = NSMakeSize([rep pixelsWide], [rep pixelsHigh]);
-    NSSize newSize = NSMakeSize(72.0 * pxlSize.width / dpi, 72.0 * pxlSize.height / dpi);
-
-    [rep setSize:newSize];
-
-    NSBitmapImageFileType filetype;
-    if ([extension isEqualToString: @"bmp"])
-        filetype = NSBMPFileType;
-    else if ([extension isEqualToString: @"gif"])
-        filetype = NSGIFFileType;
-    else if ([extension isEqualToString: @"jpg"] ||
-             [extension isEqualToString: @"jpeg"])
-        filetype = NSJPEGFileType;
-    else if ([extension isEqualToString: @"png"])
-        filetype = NSPNGFileType;
-    else if ([extension isEqualToString: @"tiff"] ||
-             [extension isEqualToString: @"tif"])
-        filetype = NSTIFFFileType;
-    else
-    {   PyErr_SetString(PyExc_ValueError, "Unknown file type");
-        return NULL;
-    }
-
-    data = [rep representationUsingType:filetype properties:nil];
-
-    [data writeToFile: filename atomically: YES];
-    [pool release];
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_start_event_loop(FigureCanvas* self, PyObject* args, PyObject* keywords)
-{
-    float timeout = 0.0;
-
-    static char* kwlist[] = {"timeout", NULL};
-    if(!PyArg_ParseTupleAndKeywords(args, keywords, "f", kwlist, &timeout))
-        return NULL;
-
-    int error;
-    int interrupted = 0;
-    int channel[2];
-    CFSocketRef sigint_socket = NULL;
-    PyOS_sighandler_t py_sigint_handler = NULL;
-
-    CFRunLoopRef runloop = CFRunLoopGetCurrent();
-
-    error = pipe(channel);
-    if (error==0)
-    {
-        CFSocketContext context = {0, NULL, NULL, NULL, NULL};
-        fcntl(channel[1], F_SETFL, O_WRONLY | O_NONBLOCK);
-
-        context.info = &interrupted;
-        sigint_socket = CFSocketCreateWithNative(kCFAllocatorDefault,
-                                                 channel[0],
-                                                 kCFSocketReadCallBack,
-                                                 _callback,
-                                                 &context);
-        if (sigint_socket)
-        {
-            CFRunLoopSourceRef source;
-            source = CFSocketCreateRunLoopSource(kCFAllocatorDefault,
-                                                 sigint_socket,
-                                                 0);
-            CFRelease(sigint_socket);
-            if (source)
-            {
-                CFRunLoopAddSource(runloop, source, kCFRunLoopDefaultMode);
-                CFRelease(source);
-                sigint_fd = channel[1];
-                py_sigint_handler = PyOS_setsig(SIGINT, _sigint_handler);
-            }
-        }
-        else
-            close(channel[0]);
-    }
-
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-    NSDate* date =
-        (timeout > 0.0) ? [NSDate dateWithTimeIntervalSinceNow: timeout]
-                        : [NSDate distantFuture];
-    while (true)
-    {   NSEvent* event = [NSApp nextEventMatchingMask: NSAnyEventMask
-                                            untilDate: date
-                                               inMode: NSDefaultRunLoopMode
-                                              dequeue: YES];
-       if (!event || [event type]==NSApplicationDefined) break;
-       [NSApp sendEvent: event];
-    }
-    [pool release];
-
-    if (py_sigint_handler) PyOS_setsig(SIGINT, py_sigint_handler);
-
-    if (sigint_socket) CFSocketInvalidate(sigint_socket);
-    if (error==0) close(channel[1]);
-    if (interrupted) raise(SIGINT);
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureCanvas_stop_event_loop(FigureCanvas* self)
-{
-    NSEvent* event = [NSEvent otherEventWithType: NSApplicationDefined
+    NSEvent* event = [NSEvent otherEventWithType: NSEventTypeApplicationDefined
                                         location: NSZeroPoint
                                    modifierFlags: 0
                                        timestamp: 0.0
@@ -3775,97 +524,52 @@ static void _data_provider_release(void* info, const void* data, size_t size)
                                            data1: 0
                                            data2: 0];
     [NSApp postEvent: event atStart: true];
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_RETURN_NONE;
 }
 
-static PyMethodDef FigureCanvas_methods[] = {
-    {"draw",
-     (PyCFunction)FigureCanvas_draw,
-     METH_NOARGS,
-     "Draws the canvas."
-    },
-    {"invalidate",
-     (PyCFunction)FigureCanvas_invalidate,
-     METH_NOARGS,
-     "Invalidates the canvas."
-    },
-    {"flush_events",
-     (PyCFunction)FigureCanvas_flush_events,
-     METH_NOARGS,
-     "Flush the GUI events for the figure."
-    },
-    {"set_rubberband",
-     (PyCFunction)FigureCanvas_set_rubberband,
-     METH_VARARGS,
-     "Specifies a new rubberband rectangle and invalidates it."
-    },
-    {"remove_rubberband",
-     (PyCFunction)FigureCanvas_remove_rubberband,
-     METH_NOARGS,
-     "Removes the current rubberband rectangle."
-    },
-    {"write_bitmap",
-     (PyCFunction)FigureCanvas_write_bitmap,
-     METH_VARARGS,
-     "Saves the figure to the specified file as a bitmap\n"
-     "(bmp, gif, jpeg, or png).\n"
-    },
-    {"start_event_loop",
-     (PyCFunction)FigureCanvas_start_event_loop,
-     METH_KEYWORDS | METH_VARARGS,
-     "Runs the event loop until the timeout or until stop_event_loop is called.\n",
-    },
-    {"stop_event_loop",
-     (PyCFunction)FigureCanvas_stop_event_loop,
-     METH_NOARGS,
-     "Stops the event loop that was started by start_event_loop.\n",
-    },
-    {NULL}  /* Sentinel */
-};
-
-static char FigureCanvas_doc[] =
-"A FigureCanvas object wraps a Cocoa NSView object.\n";
-
 static PyTypeObject FigureCanvasType = {
     PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.FigureCanvas",    /*tp_name*/
-    sizeof(FigureCanvas),      /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)FigureCanvas_dealloc,     /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)FigureCanvas_repr,     /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    FigureCanvas_doc,          /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    FigureCanvas_methods,      /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    (initproc)FigureCanvas_init,      /* tp_init */
-    0,                         /* tp_alloc */
-    FigureCanvas_new,          /* tp_new */
+    .tp_name = "matplotlib.backends._macosx.FigureCanvas",
+    .tp_doc = PyDoc_STR("A FigureCanvas object wraps a Cocoa NSView object."),
+    .tp_basicsize = sizeof(FigureCanvas),
+    .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
+
+    .tp_new = (newfunc)FigureCanvas_new,
+    .tp_init = (initproc)FigureCanvas_init,
+    .tp_dealloc = (destructor)FigureCanvas_dealloc,
+    .tp_repr = (reprfunc)FigureCanvas_repr,
+
+    .tp_methods = (PyMethodDef[]){
+        {"update",
+         (PyCFunction)FigureCanvas_update,
+         METH_NOARGS,
+         NULL},  // docstring inherited
+        {"flush_events",
+         (PyCFunction)FigureCanvas_flush_events,
+         METH_NOARGS,
+         NULL},  // docstring inherited
+        {"set_cursor",
+         (PyCFunction)FigureCanvas_set_cursor,
+         METH_VARARGS,
+         PyDoc_STR("Set the active cursor.")},
+        {"set_rubberband",
+         (PyCFunction)FigureCanvas_set_rubberband,
+         METH_VARARGS,
+         PyDoc_STR("Specify a new rubberband rectangle and invalidate it.")},
+        {"remove_rubberband",
+         (PyCFunction)FigureCanvas_remove_rubberband,
+         METH_NOARGS,
+         PyDoc_STR("Remove the current rubberband rectangle.")},
+        {"_start_event_loop",
+         (PyCFunction)FigureCanvas__start_event_loop,
+         METH_KEYWORDS | METH_VARARGS,
+         NULL},  // docstring inherited
+        {"stop_event_loop",
+         (PyCFunction)FigureCanvas_stop_event_loop,
+         METH_NOARGS,
+         NULL},  // docstring inherited
+        {}  // sentinel
+    },
 };
 
 typedef struct {
@@ -3876,738 +580,253 @@ static void _data_provider_release(void* info, const void* data, size_t size)
 static PyObject*
 FigureManager_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
 {
+    lazy_init();
     Window* window = [Window alloc];
-    if (!window) return NULL;
+    if (!window) { return NULL; }
     FigureManager *self = (FigureManager*)type->tp_alloc(type, 0);
-    if (!self)
-    {
+    if (!self) {
         [window release];
         return NULL;
     }
     self->window = window;
+    ++FigureWindowCount;
     return (PyObject*)self;
 }
 
 static int
 FigureManager_init(FigureManager *self, PyObject *args, PyObject *kwds)
 {
-    NSRect rect;
-    Window* window;
-    View* view;
-    const char* title;
-    PyObject* size;
-    int width, height;
-    PyObject* obj;
-    FigureCanvas* canvas;
-
-    if(!self->window)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSWindow* is NULL");
+    PyObject* canvas;
+    if (!PyArg_ParseTuple(args, "O", &canvas)) {
         return -1;
     }
 
-    if(!PyArg_ParseTuple(args, "Os", &obj, &title)) return -1;
-
-    canvas = (FigureCanvas*)obj;
-    view = canvas->view;
-    if (!view) /* Something really weird going on */
-    {
+    View* view = ((FigureCanvas*)canvas)->view;
+    if (!view) {  /* Something really weird going on */
         PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
         return -1;
     }
 
-    size = PyObject_CallMethod(obj, "get_width_height", "");
-    if(!size) return -1;
-    if(!PyArg_ParseTuple(size, "ii", &width, &height))
-    {    Py_DECREF(size);
-         return -1;
+    PyObject* size = PyObject_CallMethod(canvas, "get_width_height", "");
+    int width, height;
+    if (!size || !PyArg_ParseTuple(size, "ii", &width, &height)) {
+        Py_XDECREF(size);
+        return -1;
     }
     Py_DECREF(size);
 
-    rect.origin.x = 100;
-    rect.origin.y = 350;
-    rect.size.height = height;
-    rect.size.width = width;
+    NSRect rect = NSMakeRect( /* x */ 100, /* y */ 350, width, height);
 
-    NSApp = [NSApplication sharedApplication];
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
     self->window = [self->window initWithContentRect: rect
-                                         styleMask: NSTitledWindowMask
-                                                  | NSClosableWindowMask
-                                                  | NSResizableWindowMask
-                                                  | NSMiniaturizableWindowMask
+                                         styleMask: NSWindowStyleMaskTitled
+                                                  | NSWindowStyleMaskClosable
+                                                  | NSWindowStyleMaskResizable
+                                                  | NSWindowStyleMaskMiniaturizable
                                            backing: NSBackingStoreBuffered
                                              defer: YES
                                        withManager: (PyObject*)self];
-    window = self->window;
-    [window setTitle: [NSString stringWithCString: title
-                                         encoding: NSASCIIStringEncoding]];
-
-    [window setAcceptsMouseMovedEvents: YES];
+    Window* window = self->window;
     [window setDelegate: view];
     [window makeFirstResponder: view];
     [[window contentView] addSubview: view];
+    [view updateDevicePixelRatio: [window backingScaleFactor]];
 
-    nwin++;
-
-    [pool release];
     return 0;
 }
 
+static PyObject*
+FigureManager__set_window_mode(FigureManager* self, PyObject* args)
+{
+    const char* window_mode;
+    if (!PyArg_ParseTuple(args, "s", &window_mode) || !self->window) {
+        return NULL;
+    }
+
+    NSString* window_mode_str = [NSString stringWithUTF8String: window_mode];
+    if ([window_mode_str isEqualToString: @"tab"]) {
+        [self->window setTabbingMode: NSWindowTabbingModePreferred];
+    } else if ([window_mode_str isEqualToString: @"window"]) {
+        [self->window setTabbingMode: NSWindowTabbingModeDisallowed];
+    } else { // system settings
+        [self->window setTabbingMode: NSWindowTabbingModeAutomatic];
+    }
+    Py_RETURN_NONE;
+}
+
 static PyObject*
 FigureManager_repr(FigureManager* self)
 {
-#if PY3K
     return PyUnicode_FromFormat("FigureManager object %p wrapping NSWindow %p",
                                (void*) self, (void*)(self->window));
-#else
-    return PyString_FromFormat("FigureManager object %p wrapping NSWindow %p",
-                               (void*) self, (void*)(self->window));
-#endif
 }
 
 static void
 FigureManager_dealloc(FigureManager* self)
 {
-    Window* window = self->window;
-    if(window)
-    {
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        [window close];
-        [pool release];
-    }
+    [self->window close];
     Py_TYPE(self)->tp_free((PyObject*)self);
 }
 
 static PyObject*
-FigureManager_show(FigureManager* self)
+FigureManager__show(FigureManager* self)
 {
-    Window* window = self->window;
-    if(window)
-    {
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        [window makeKeyAndOrderFront: nil];
-        [pool release];
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-FigureManager_destroy(FigureManager* self)
-{
-    Window* window = self->window;
-    if(window)
-    {
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        [window close];
-        [pool release];
-        self->window = NULL;
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
+    [self->window makeKeyAndOrderFront: nil];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-FigureManager_set_window_title(FigureManager* self,
-                               PyObject *args, PyObject *kwds)
+FigureManager__raise(FigureManager* self)
 {
-    char* title;
-    if(!PyArg_ParseTuple(args, "es", "UTF-8", &title))
-        return NULL;
-
-    Window* window = self->window;
-    if(window)
-    {
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        NSString* ns_title = [[[NSString alloc]
-                               initWithCString: title
-                               encoding: NSUTF8StringEncoding] autorelease];
-        [window setTitle: ns_title];
-        [pool release];
-    }
-    PyMem_Free(title);
-    Py_INCREF(Py_None);
-    return Py_None;
+    [self->window orderFrontRegardless];
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-FigureManager_get_window_title(FigureManager* self)
+FigureManager_destroy(FigureManager* self)
 {
-    Window* window = self->window;
-    PyObject* result = NULL;
-    if(window)
-    {
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        NSString* title = [window title];
-        if (title) {
-            const char* cTitle = [title UTF8String];
-#if PY3K || (PY_MAJOR_VERSION == 2 && PY_MINOR_VERSION >= 6)
-            result = PyUnicode_FromString(cTitle);
-#else
-            result = PyString_FromString(cTitle);
-#endif
-        }
-        [pool release];
-    }
-    if (result) {
-        return result;
-    } else {
-        Py_INCREF(Py_None);
-        return Py_None;
-    }
-}
-
-static PyMethodDef FigureManager_methods[] = {
-    {"show",
-     (PyCFunction)FigureManager_show,
-     METH_NOARGS,
-     "Shows the window associated with the figure manager."
-    },
-    {"destroy",
-     (PyCFunction)FigureManager_destroy,
-     METH_NOARGS,
-     "Closes the window associated with the figure manager."
-    },
-    {"set_window_title",
-     (PyCFunction)FigureManager_set_window_title,
-     METH_VARARGS,
-     "Sets the title of the window associated with the figure manager."
-    },
-    {"get_window_title",
-     (PyCFunction)FigureManager_get_window_title,
-     METH_NOARGS,
-     "Returns the title of the window associated with the figure manager."
-    },
-    {NULL}  /* Sentinel */
-};
-
-static char FigureManager_doc[] =
-"A FigureManager object wraps a Cocoa NSWindow object.\n";
-
-static PyTypeObject FigureManagerType = {
-    PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.FigureManager",   /*tp_name*/
-    sizeof(FigureManager),     /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)FigureManager_dealloc,     /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)FigureManager_repr,     /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    FigureManager_doc,         /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    FigureManager_methods,     /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    (initproc)FigureManager_init,      /* tp_init */
-    0,                         /* tp_alloc */
-    FigureManager_new,          /* tp_new */
-};
-
-@interface NavigationToolbarHandler : NSObject
-{   PyObject* toolbar;
-}
-- (NavigationToolbarHandler*)initWithToolbar:(PyObject*)toolbar;
--(void)left:(id)sender;
--(void)right:(id)sender;
--(void)up:(id)sender;
--(void)down:(id)sender;
--(void)zoominx:(id)sender;
--(void)zoominy:(id)sender;
--(void)zoomoutx:(id)sender;
--(void)zoomouty:(id)sender;
-@end
-
-typedef struct {
-    PyObject_HEAD
-    NSPopUpButton* menu;
-    NavigationToolbarHandler* handler;
-} NavigationToolbar;
-
-@implementation NavigationToolbarHandler
-- (NavigationToolbarHandler*)initWithToolbar:(PyObject*)theToolbar
-{   [self init];
-    toolbar = theToolbar;
-    return self;
-}
-
--(void)left:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "panx", "i", -1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)right:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "panx", "i", 1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)up:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "pany", "i", 1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)down:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "pany", "i", -1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)zoominx:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "zoomx", "i", 1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)zoomoutx:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "zoomx", "i", -1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)zoominy:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "zoomy", "i", 1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)zoomouty:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "zoomy", "i", -1);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)save_figure:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "save_figure", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
+    [self->window close];
+    self->window = NULL;
+    Py_RETURN_NONE;
 }
-@end
 
 static PyObject*
-NavigationToolbar_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    NavigationToolbarHandler* handler = [NavigationToolbarHandler alloc];
-    if (!handler) return NULL;
-    NavigationToolbar *self = (NavigationToolbar*)type->tp_alloc(type, 0);
-    if (!self)
-    {   [handler release];
+FigureManager_set_icon(PyObject* null, PyObject* args) {
+    PyObject* icon_path;
+    if (!PyArg_ParseTuple(args, "O&", &PyUnicode_FSDecoder, &icon_path)) {
         return NULL;
     }
-    self->handler = handler;
-    return (PyObject*)self;
-}
-
-static int
-NavigationToolbar_init(NavigationToolbar *self, PyObject *args, PyObject *kwds)
-{
-    int i;
-    NSRect rect;
-
-    const float smallgap = 2;
-    const float biggap = 10;
-    const int height = 32;
-
-    PyObject* images;
-    PyObject* obj;
-
-    FigureCanvas* canvas;
-    View* view;
-
-    obj = PyObject_GetAttrString((PyObject*)self, "canvas");
-    if (obj==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Attempt to install toolbar for NULL canvas");
-        return -1;
-    }
-    Py_DECREF(obj); /* Don't increase the reference count */
-    if (!PyObject_IsInstance(obj, (PyObject*) &FigureCanvasType))
-    {
-        PyErr_SetString(PyExc_TypeError, "Attempt to install toolbar for object that is not a FigureCanvas");
-        return -1;
-    }
-    canvas = (FigureCanvas*)obj;
-    view = canvas->view;
-    if(!view)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        return -1;
+    const char* icon_path_ptr = PyUnicode_AsUTF8(icon_path);
+    if (!icon_path_ptr) {
+        Py_DECREF(icon_path);
+        return NULL;
     }
-
-    if(!PyArg_ParseTuple(args, "O", &images)) return -1;
-    if(!PyDict_Check(images)) return -1;
-
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-    NSRect bounds = [view bounds];
-    NSWindow* window = [view window];
-
-    bounds.origin.y += height;
-    [view setFrame: bounds];
-
-    bounds.size.height += height;
-    [window setContentSize: bounds.size];
-
-    char* imagenames[9] = {"stock_left",
-                           "stock_right",
-                           "stock_zoom-in",
-                           "stock_zoom-out",
-                           "stock_up",
-                           "stock_down",
-                           "stock_zoom-in",
-                           "stock_zoom-out",
-                           "stock_save_as"};
-
-    NSString* tooltips[9] = {
-        @"Pan left with click or wheel mouse (bidirectional)",
-        @"Pan right with click or wheel mouse (bidirectional)",
-        @"Zoom In X (shrink the x axis limits) with click or wheel mouse (bidirectional)",
-        @"Zoom Out X (expand the x axis limits) with click or wheel mouse (bidirectional)",
-        @"Pan up with click or wheel mouse (bidirectional)",
-        @"Pan down with click or wheel mouse (bidirectional)",
-        @"Zoom in Y (shrink the y axis limits) with click or wheel mouse (bidirectional)",
-        @"Zoom Out Y (expand the y axis limits) with click or wheel mouse (bidirectional)",
-        @"Save the figure"};
-
-    SEL actions[9] = {@selector(left:),
-                      @selector(right:),
-                      @selector(zoominx:),
-                      @selector(zoomoutx:),
-                      @selector(up:),
-                      @selector(down:),
-                      @selector(zoominy:),
-                      @selector(zoomouty:),
-                      @selector(save_figure:)};
-
-    SEL scroll_actions[9][2] = {{@selector(left:),    @selector(right:)},
-                                {@selector(left:),    @selector(right:)},
-                                {@selector(zoominx:), @selector(zoomoutx:)},
-                                {@selector(zoominx:), @selector(zoomoutx:)},
-                                {@selector(up:),      @selector(down:)},
-                                {@selector(up:),      @selector(down:)},
-                                {@selector(zoominy:), @selector(zoomouty:)},
-                                {@selector(zoominy:), @selector(zoomouty:)},
-                                {nil,nil},
-                               };
-
-
-    rect.size.width = 120;
-    rect.size.height = 24;
-    rect.origin.x = biggap;
-    rect.origin.y = 0.5*(height - rect.size.height);
-    self->menu = [[NSPopUpButton alloc] initWithFrame: rect
-                                            pullsDown: YES];
-    [self->menu setAutoenablesItems: NO];
-    [[window contentView] addSubview: self->menu];
-    [self->menu release];
-    rect.origin.x += rect.size.width + biggap;
-    rect.size.width = 24;
-
-    self->handler = [self->handler initWithToolbar: (PyObject*)self];
-    for (i = 0; i < 9; i++)
-    {
-        NSButton* button;
-        SEL scrollWheelUpAction = scroll_actions[i][0];
-        SEL scrollWheelDownAction = scroll_actions[i][1];
-        if (scrollWheelUpAction && scrollWheelDownAction)
-        {
-            ScrollableButton* scrollable_button = [ScrollableButton alloc];
-            [scrollable_button initWithFrame: rect];
-            [scrollable_button setScrollWheelUpAction: scrollWheelUpAction];
-            [scrollable_button setScrollWheelDownAction: scrollWheelDownAction];
-            button = (NSButton*)scrollable_button;
+    @autoreleasepool {
+        NSString* ns_icon_path = [NSString stringWithUTF8String: icon_path_ptr];
+        Py_DECREF(icon_path);
+        if (!ns_icon_path) {
+            PyErr_SetString(PyExc_RuntimeError, "Could not convert to NSString*");
+            return NULL;
+        }
+        NSImage* image = [[[NSImage alloc] initByReferencingFile: ns_icon_path] autorelease];
+        if (!image) {
+            PyErr_SetString(PyExc_RuntimeError, "Could not create NSImage*");
+            return NULL;
+        }
+        if (!image.valid) {
+            PyErr_SetString(PyExc_RuntimeError, "Image is not valid");
+            return NULL;
         }
-        else
-        {
-            button = [NSButton alloc];
-            [button initWithFrame: rect];
+        @try {
+          NSApplication* app = [NSApplication sharedApplication];
+          app.applicationIconImage = image;
         }
-        PyObject* imagedata = PyDict_GetItemString(images, imagenames[i]);
-        NSImage* image = _read_ppm_image(imagedata);
-        [button setBezelStyle: NSShadowlessSquareBezelStyle];
-        [button setButtonType: NSMomentaryLightButton];
-        if(image)
-        {
-            [button setImage: image];
-            [image release];
+        @catch (NSException* exception) {
+            PyErr_SetString(PyExc_RuntimeError, exception.reason.UTF8String);
+            return NULL;
         }
-        [button setToolTip: tooltips[i]];
-        [button setTarget: self->handler];
-        [button setAction: actions[i]];
-        [[window contentView] addSubview: button];
-        [button release];
-        rect.origin.x += rect.size.width + smallgap;
     }
-    [[window contentView] display];
-    [pool release];
-
-    return 0;
-}
-
-static void
-NavigationToolbar_dealloc(NavigationToolbar *self)
-{
-    [self->handler release];
-    Py_TYPE(self)->tp_free((PyObject*)self);
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-NavigationToolbar_repr(NavigationToolbar* self)
+FigureManager_set_window_title(FigureManager* self,
+                               PyObject *args, PyObject *kwds)
 {
-#if PY3K
-    return PyUnicode_FromFormat("NavigationToolbar object %p", (void*)self);
-#else
-    return PyString_FromFormat("NavigationToolbar object %p", (void*)self);
-#endif
+    const char* title;
+    if (!PyArg_ParseTuple(args, "s", &title)) {
+        return NULL;
+    }
+    [self->window setTitle: [NSString stringWithUTF8String: title]];
+    Py_RETURN_NONE;
 }
 
-static char NavigationToolbar_doc[] =
-"NavigationToolbar\n";
-
 static PyObject*
-NavigationToolbar_update (NavigationToolbar* self)
+FigureManager_get_window_title(FigureManager* self)
 {
-    int n;
-    NSPopUpButton* button = self->menu;
-    if (!button)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "Menu button is NULL");
-        return NULL;
+    NSString* title = [self->window title];
+    if (title) {
+        return PyUnicode_FromString([title UTF8String]);
+    } else {
+        Py_RETURN_NONE;
     }
+}
 
-    PyObject* canvas = PyObject_GetAttrString((PyObject*)self, "canvas");
-    if (canvas==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Failed to find canvas");
-        return NULL;
-    }
-    Py_DECREF(canvas); /* Don't keep a reference here */
-    PyObject* figure = PyObject_GetAttrString(canvas, "figure");
-    if (figure==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Failed to find figure");
-        return NULL;
-    }
-    Py_DECREF(figure); /* Don't keep a reference here */
-    PyObject* axes = PyObject_GetAttrString(figure, "axes");
-    if (axes==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Failed to find figure axes");
-        return NULL;
-    }
-    Py_DECREF(axes); /* Don't keep a reference here */
-    if (!PyList_Check(axes))
-    {
-        PyErr_SetString(PyExc_TypeError, "Figure axes is not a list");
+static PyObject*
+FigureManager_resize(FigureManager* self, PyObject *args, PyObject *kwds)
+{
+    int width, height;
+    if (!PyArg_ParseTuple(args, "ii", &width, &height)) {
         return NULL;
     }
-    n = PyList_GET_SIZE(axes);
-
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-    [button removeAllItems];
-
-    NSMenu* menu = [button menu];
-    [menu addItem: [MenuItem menuItemWithTitle: @"Axes"]];
-
-    if (n==0)
-    {
-        [button setEnabled: NO];
-    }
-    else
-    {
-        int i;
-        [menu addItem: [MenuItem menuItemSelectAll]];
-        [menu addItem: [MenuItem menuItemInvertAll]];
-        [menu addItem: [NSMenuItem separatorItem]];
-        for (i = 0; i < n; i++)
-        {
-            [menu addItem: [MenuItem menuItemForAxis: i]];
-        }
-        [button setEnabled: YES];
+    Window* window = self->window;
+    if (window) {
+        CGFloat device_pixel_ratio = [window backingScaleFactor];
+        width /= device_pixel_ratio;
+        height /= device_pixel_ratio;
+        // 36 comes from hard-coded size of toolbar later in code
+        [window setContentSize: NSMakeSize(width, height + 36.)];
     }
-    [pool release];
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_RETURN_NONE;
 }
 
 static PyObject*
-NavigationToolbar_get_active (NavigationToolbar* self)
+FigureManager_full_screen_toggle(FigureManager* self)
 {
-    NSPopUpButton* button = self->menu;
-    if (!button)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "Menu button is NULL");
-        return NULL;
-    }
-    NSMenu* menu = [button menu];
-    NSArray* items = [menu itemArray];
-    unsigned int n = [items count];
-    int* states = calloc(n, sizeof(int));
-    if (!states)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "calloc failed");
-        return NULL;
-    }
-    int i;
-    unsigned int m = 0;
-    NSEnumerator* enumerator = [items objectEnumerator];
-    MenuItem* item;
-    while ((item = [enumerator nextObject]))
-    {
-        if ([item isSeparatorItem]) continue;
-        i = [item index];
-        if (i < 0) continue;
-        if ([item state]==NSOnState)
-        {
-            states[i] = 1;
-            m++;
-        }
-    }
-    int j = 0;
-    PyObject* list = PyList_New(m);
-    for (i = 0; i < n; i++)
-    {
-        if(states[i]==1)
-        {
-            PyList_SET_ITEM(list, j, PyLong_FromLong(i));
-            j++;
-        }
-    }
-    free(states);
-    return list;
+    [self->window toggleFullScreen: nil];
+    Py_RETURN_NONE;
 }
 
-static PyMethodDef NavigationToolbar_methods[] = {
-    {"update",
-     (PyCFunction)NavigationToolbar_update,
-     METH_NOARGS,
-     "Updates the toolbar menu."
-    },
-    {"get_active",
-     (PyCFunction)NavigationToolbar_get_active,
-     METH_NOARGS,
-     "Returns a list of integers identifying which items in the menu are selected."
+static PyTypeObject FigureManagerType = {
+    PyVarObject_HEAD_INIT(NULL, 0)
+    .tp_name = "matplotlib.backends._macosx.FigureManager",
+    .tp_doc = PyDoc_STR("A FigureManager object wraps a Cocoa NSWindow object."),
+    .tp_basicsize = sizeof(FigureManager),
+    .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
+
+    .tp_new = (newfunc)FigureManager_new,
+    .tp_init = (initproc)FigureManager_init,
+    .tp_dealloc = (destructor)FigureManager_dealloc,
+    .tp_repr = (reprfunc)FigureManager_repr,
+
+    .tp_methods = (PyMethodDef[]){  // All docstrings are inherited.
+        {"_show",
+         (PyCFunction)FigureManager__show,
+         METH_NOARGS},
+        {"_raise",
+         (PyCFunction)FigureManager__raise,
+         METH_NOARGS},
+        {"destroy",
+         (PyCFunction)FigureManager_destroy,
+         METH_NOARGS},
+        {"_set_window_mode",
+         (PyCFunction)FigureManager__set_window_mode,
+         METH_VARARGS,
+         PyDoc_STR("Set the window open mode (system, tab, window)")},
+        {"set_icon",
+         (PyCFunction)FigureManager_set_icon,
+         METH_STATIC | METH_VARARGS,
+         PyDoc_STR("Set application icon")},
+        {"set_window_title",
+         (PyCFunction)FigureManager_set_window_title,
+         METH_VARARGS},
+        {"get_window_title",
+         (PyCFunction)FigureManager_get_window_title,
+         METH_NOARGS},
+        {"resize",
+         (PyCFunction)FigureManager_resize,
+         METH_VARARGS},
+        {"full_screen_toggle",
+         (PyCFunction)FigureManager_full_screen_toggle,
+         METH_NOARGS},
+        {}  // sentinel
     },
-    {NULL}  /* Sentinel */
 };
 
-static PyTypeObject NavigationToolbarType = {
-    PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.NavigationToolbar", /*tp_name*/
-    sizeof(NavigationToolbar), /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)NavigationToolbar_dealloc,     /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)NavigationToolbar_repr,     /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    NavigationToolbar_doc,     /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    NavigationToolbar_methods, /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    (initproc)NavigationToolbar_init,      /* tp_init */
-    0,                         /* tp_alloc */
-    NavigationToolbar_new,     /* tp_new */
-};
+@implementation MatplotlibAppDelegate
+- (BOOL)applicationSupportsSecureRestorableState:(NSApplication *)app {
+    return YES;
+}
+@end
 
 @interface NavigationToolbar2Handler : NSObject
 {   PyObject* toolbar;
@@ -4615,7 +834,7 @@ @interface NavigationToolbar2Handler : NSObject
     NSButton* zoombutton;
 }
 - (NavigationToolbar2Handler*)initWithToolbar:(PyObject*)toolbar;
-- (void)installCallbacks:(SEL[7])actions forButtons: (NSButton*[7])buttons;
+- (void)installCallbacks:(SEL[7])actions forButtons:(NSButton*[7])buttons;
 - (void)home:(id)sender;
 - (void)back:(id)sender;
 - (void)forward:(id)sender;
@@ -4627,192 +846,59 @@ - (void)save_figure:(id)sender;
 
 typedef struct {
     PyObject_HEAD
-    NSPopUpButton* menu;
-    NSText* messagebox;
+    NSTextView* messagebox;
     NavigationToolbar2Handler* handler;
+    int height;
 } NavigationToolbar2;
 
 @implementation NavigationToolbar2Handler
 - (NavigationToolbar2Handler*)initWithToolbar:(PyObject*)theToolbar
-{   [self init];
+{
+    [self init];
     toolbar = theToolbar;
     return self;
 }
 
-- (void)installCallbacks:(SEL[7])actions forButtons: (NSButton*[7])buttons
+- (void)installCallbacks:(SEL[7])actions forButtons:(NSButton*[7])buttons
 {
-    int i;
-    for (i = 0; i < 7; i++)
-    {
+    for (int i = 0; i < 7; i++) {
         SEL action = actions[i];
         NSButton* button = buttons[i];
         [button setTarget: self];
         [button setAction: action];
-        if (action==@selector(pan:)) panbutton = button;
-        if (action==@selector(zoom:)) zoombutton = button;
+        if (action == @selector(pan:)) { panbutton = button; }
+        if (action == @selector(zoom:)) { zoombutton = button; }
     }
 }
 
--(void)home:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "home", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)back:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "back", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)forward:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "forward", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
+-(void)home:(id)sender { gil_call_method(toolbar, "home"); }
+-(void)back:(id)sender { gil_call_method(toolbar, "back"); }
+-(void)forward:(id)sender { gil_call_method(toolbar, "forward"); }
 
 -(void)pan:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    if ([sender state])
-    {
-        if (zoombutton) [zoombutton setState: NO];
-    }
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "pan", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
+{
+    if ([sender state]) { [zoombutton setState:NO]; }
+    gil_call_method(toolbar, "pan");
 }
 
 -(void)zoom:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    if ([sender state])
-    {
-        if (panbutton) [panbutton setState: NO];
-    }
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "zoom", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
-
--(void)configure_subplots:(id)sender
-{   PyObject* canvas;
-    View* view;
-    PyObject* size;
-    NSRect rect;
-    int width, height;
-
-    rect.origin.x = 100;
-    rect.origin.y = 350;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* master = PyObject_GetAttrString(toolbar, "canvas");
-    if (master==nil)
-    {
-        PyErr_Print();
-        PyGILState_Release(gstate);
-        return;
-    }
-    canvas = PyObject_CallMethod(toolbar, "prepare_configure_subplots", "");
-    if(!canvas)
-    {
-        PyErr_Print();
-        Py_DECREF(master);
-        PyGILState_Release(gstate);
-        return;
-    }
-
-    view = ((FigureCanvas*)canvas)->view;
-    if (!view) /* Something really weird going on */
-    {
-        PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
-        PyErr_Print();
-        Py_DECREF(canvas);
-        Py_DECREF(master);
-        PyGILState_Release(gstate);
-        return;
-    }
-
-    size = PyObject_CallMethod(canvas, "get_width_height", "");
-    Py_DECREF(canvas);
-    if(!size)
-    {
-        PyErr_Print();
-        Py_DECREF(master);
-        PyGILState_Release(gstate);
-        return;
-    }
-
-    int ok = PyArg_ParseTuple(size, "ii", &width, &height);
-    Py_DECREF(size);
-    if (!ok)
-    {
-        PyErr_Print();
-        Py_DECREF(master);
-        PyGILState_Release(gstate);
-        return;
-    }
-
-    NSWindow* mw = [((FigureCanvas*)master)->view window];
-    Py_DECREF(master);
-    PyGILState_Release(gstate);
-
-    rect.size.width = width;
-    rect.size.height = height;
-
-    ToolWindow* window = [ [ToolWindow alloc] initWithContentRect: rect
-                                                           master: mw];
-    [window setContentView: view];
-    [view release];
-    [window makeKeyAndOrderFront: nil];
+{
+    if ([sender state]) { [panbutton setState:NO]; }
+    gil_call_method(toolbar, "zoom");
 }
 
--(void)save_figure:(id)sender
-{   PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(toolbar, "save_figure", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-}
+-(void)configure_subplots:(id)sender { gil_call_method(toolbar, "configure_subplots"); }
+-(void)save_figure:(id)sender { gil_call_method(toolbar, "save_figure"); }
 @end
 
 static PyObject*
 NavigationToolbar2_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
 {
+    lazy_init();
     NavigationToolbar2Handler* handler = [NavigationToolbar2Handler alloc];
-    if (!handler) return NULL;
+    if (!handler) { return NULL; }
     NavigationToolbar2 *self = (NavigationToolbar2*)type->tp_alloc(type, 0);
-    if (!self)
-    {
+    if (!self) {
         [handler release];
         return NULL;
     }
@@ -4823,41 +909,31 @@ -(void)save_figure:(id)sender
 static int
 NavigationToolbar2_init(NavigationToolbar2 *self, PyObject *args, PyObject *kwds)
 {
-    PyObject* obj;
     FigureCanvas* canvas;
-    View* view;
-
-    int i;
-    NSRect rect;
+    const char* images[7];
+    const char* tooltips[7];
 
     const float gap = 2;
     const int height = 36;
-
-    const char* basedir;
-
-    obj = PyObject_GetAttrString((PyObject*)self, "canvas");
-    if (obj==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Attempt to install toolbar for NULL canvas");
-        return -1;
-    }
-    Py_DECREF(obj); /* Don't increase the reference count */
-    if (!PyObject_IsInstance(obj, (PyObject*) &FigureCanvasType))
-    {
-        PyErr_SetString(PyExc_TypeError, "Attempt to install toolbar for object that is not a FigureCanvas");
+    const int imagesize = 24;
+
+    if (!PyArg_ParseTuple(args, "O!(sssssss)(sssssss)",
+                &FigureCanvasType, &canvas,
+                &images[0], &images[1], &images[2], &images[3],
+                &images[4], &images[5], &images[6],
+                &tooltips[0], &tooltips[1], &tooltips[2], &tooltips[3],
+                &tooltips[4], &tooltips[5], &tooltips[6])) {
         return -1;
     }
-    canvas = (FigureCanvas*)obj;
-    view = canvas->view;
-    if(!view)
-    {
+
+    View* view = canvas->view;
+    if (!view) {
         PyErr_SetString(PyExc_RuntimeError, "NSView* is NULL");
         return -1;
     }
 
-    if(!PyArg_ParseTuple(args, "s", &basedir)) return -1;
+    self->height = height;
 
-    NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
     NSRect bounds = [view bounds];
     NSWindow* window = [view window];
 
@@ -4867,27 +943,7 @@ -(void)save_figure:(id)sender
     bounds.size.height += height;
     [window setContentSize: bounds.size];
 
-    NSString* dir = [NSString stringWithCString: basedir
-                                       encoding: NSASCIIStringEncoding];
-
     NSButton* buttons[7];
-
-    NSString* images[7] = {@"home.png",
-                           @"back.png",
-                           @"forward.png",
-                           @"move.png",
-                           @"zoom_to_rect.png",
-                           @"subplots.png",
-                           @"filesave.png"};
-
-    NSString* tooltips[7] = {@"Reset original view",
-                             @"Back to  previous view",
-                             @"Forward to next view",
-                             @"Pan axes with left mouse, zoom with right",
-                             @"Zoom to rectangle",
-                             @"Configure subplots",
-                             @"Save the figure"};
-
     SEL actions[7] = {@selector(home:),
                       @selector(back:),
                       @selector(forward:),
@@ -4895,31 +951,43 @@ -(void)save_figure:(id)sender
                       @selector(zoom:),
                       @selector(configure_subplots:),
                       @selector(save_figure:)};
+    NSButtonType buttontypes[7] = {NSButtonTypeMomentaryLight,
+                                   NSButtonTypeMomentaryLight,
+                                   NSButtonTypeMomentaryLight,
+                                   NSButtonTypePushOnPushOff,
+                                   NSButtonTypePushOnPushOff,
+                                   NSButtonTypeMomentaryLight,
+                                   NSButtonTypeMomentaryLight};
 
-    NSButtonType buttontypes[7] = {NSMomentaryLightButton,
-                                   NSMomentaryLightButton,
-                                   NSMomentaryLightButton,
-                                   NSPushOnPushOffButton,
-                                   NSPushOnPushOffButton,
-                                   NSMomentaryLightButton,
-                                   NSMomentaryLightButton};
+    NSRect rect;
+    NSSize size;
+    NSSize scale;
+
+    rect = NSMakeRect(0, 0, imagesize, imagesize);
+    rect = [window convertRectToBacking: rect];
+    size = rect.size;
+    scale = NSMakeSize(imagesize / size.width, imagesize / size.height);
 
     rect.size.width = 32;
     rect.size.height = 32;
     rect.origin.x = gap;
     rect.origin.y = 0.5*(height - rect.size.height);
-    for (i = 0; i < 7; i++)
-    {
-        const NSSize size = {24, 24};
-        NSString* filename = [dir stringByAppendingPathComponent: images[i]];
+
+    for (int i = 0; i < 7; i++) {
+        NSString* filename = [NSString stringWithUTF8String: images[i]];
+        NSString* tooltip = [NSString stringWithUTF8String: tooltips[i]];
         NSImage* image = [[NSImage alloc] initWithContentsOfFile: filename];
         buttons[i] = [[NSButton alloc] initWithFrame: rect];
         [image setSize: size];
-        [buttons[i] setBezelStyle: NSShadowlessSquareBezelStyle];
+        // Specify that it is a template image so the content tint
+        // color gets updated with the system theme (dark/light)
+        [image setTemplate: YES];
+        [buttons[i] setBezelStyle: NSBezelStyleShadowlessSquare];
         [buttons[i] setButtonType: buttontypes[i]];
         [buttons[i] setImage: image];
+        [buttons[i] scaleUnitSquareToSize: scale];
         [buttons[i] setImagePosition: NSImageOnly];
-        [buttons[i] setToolTip: tooltips[i]];
+        [buttons[i] setToolTip: tooltip];
         [[window contentView] addSubview: buttons[i]];
         [buttons[i] release];
         [image release];
@@ -4930,24 +998,24 @@ -(void)save_figure:(id)sender
     [self->handler installCallbacks: actions forButtons: buttons];
 
     NSFont* font = [NSFont systemFontOfSize: 0.0];
-    rect.size.width = 300;
-    rect.size.height = 0;
-    rect.origin.x += height;
-    NSText* messagebox = [[NSText alloc] initWithFrame: rect];
+    // rect.origin.x is now at the far right edge of the buttons
+    // we want the messagebox to take up the rest of the toolbar area
+    // Make it a zero-width box if we don't have enough room
+    rect.size.width = fmax(bounds.size.width - rect.origin.x, 0);
+    rect.origin.x = bounds.size.width - rect.size.width;
+    NSTextView* messagebox = [[[NSTextView alloc] initWithFrame: rect] autorelease];
+    messagebox.textContainer.maximumNumberOfLines = 2;
+    messagebox.textContainer.lineBreakMode = NSLineBreakByTruncatingTail;
+    messagebox.alignment = NSTextAlignmentRight;
     [messagebox setFont: font];
     [messagebox setDrawsBackground: NO];
     [messagebox setSelectable: NO];
     /* if selectable, the messagebox can become first responder,
      * which is not supposed to happen */
-    rect = [messagebox frame];
-    rect.origin.y = 0.5 * (height - rect.size.height);
-    [messagebox setFrameOrigin: rect.origin];
     [[window contentView] addSubview: messagebox];
     [messagebox release];
     [[window contentView] display];
 
-    [pool release];
-
     self->messagebox = messagebox;
     return 0;
 }
@@ -4962,88 +1030,62 @@ -(void)save_figure:(id)sender
 static PyObject*
 NavigationToolbar2_repr(NavigationToolbar2* self)
 {
-#if PY3K
     return PyUnicode_FromFormat("NavigationToolbar2 object %p", (void*)self);
-#else
-    return PyString_FromFormat("NavigationToolbar2 object %p", (void*)self);
-#endif
 }
 
-static char NavigationToolbar2_doc[] =
-"NavigationToolbar2\n";
-
 static PyObject*
 NavigationToolbar2_set_message(NavigationToolbar2 *self, PyObject* args)
 {
     const char* message;
 
-#if PY3K
-    if(!PyArg_ParseTuple(args, "y", &message)) return NULL;
-#else
-    if(!PyArg_ParseTuple(args, "s", &message)) return NULL;
-#endif
+    if (!PyArg_ParseTuple(args, "s", &message)) { return NULL; }
 
-    NSText* messagebox = self->messagebox;
+    NSTextView* messagebox = self->messagebox;
 
-    if (messagebox)
-    {   NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
+    if (messagebox) {
         NSString* text = [NSString stringWithUTF8String: message];
         [messagebox setString: text];
-        [pool release];
+
+        // Adjust width and height with the window size and content
+        NSRect rectWindow = [messagebox.superview frame];
+        NSRect rect = [messagebox frame];
+        // Entire region to the right of the buttons
+        rect.size.width = rectWindow.size.width - rect.origin.x;
+        [messagebox setFrame: rect];
+        // We want to control the vertical position of
+        // the rect by the content size to center it vertically
+        [messagebox.layoutManager ensureLayoutForTextContainer: messagebox.textContainer];
+        NSRect contentRect = [messagebox.layoutManager usedRectForTextContainer: messagebox.textContainer];
+        rect.origin.y = 0.5 * (self->height - contentRect.size.height);
+        rect.size.height = contentRect.size.height;
+        [messagebox setFrame: rect];
+        // Disable cursorRects so that the cursor doesn't get updated by events
+        // in NSApp (like resizing TextViews), we want to handle the cursor
+        // changes from within MPL with set_cursor() ourselves
+        [[messagebox.superview window] disableCursorRects];
     }
 
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_RETURN_NONE;
 }
 
-static PyMethodDef NavigationToolbar2_methods[] = {
-    {"set_message",
-     (PyCFunction)NavigationToolbar2_set_message,
-     METH_VARARGS,
-     "Set the message to be displayed on the toolbar."
-    },
-    {NULL}  /* Sentinel */
-};
-
 static PyTypeObject NavigationToolbar2Type = {
     PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.NavigationToolbar2", /*tp_name*/
-    sizeof(NavigationToolbar2), /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)NavigationToolbar2_dealloc,     /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)NavigationToolbar2_repr,     /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    NavigationToolbar2_doc,    /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    NavigationToolbar2_methods, /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    (initproc)NavigationToolbar2_init,      /* tp_init */
-    0,                         /* tp_alloc */
-    NavigationToolbar2_new,    /* tp_new */
+    .tp_name = "matplotlib.backends._macosx.NavigationToolbar2",
+    .tp_doc = PyDoc_STR("NavigationToolbar2"),
+    .tp_basicsize = sizeof(NavigationToolbar2),
+    .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
+
+    .tp_new = (newfunc)NavigationToolbar2_new,
+    .tp_init = (initproc)NavigationToolbar2_init,
+    .tp_dealloc = (destructor)NavigationToolbar2_dealloc,
+    .tp_repr = (reprfunc)NavigationToolbar2_repr,
+
+    .tp_methods = (PyMethodDef[]){  // All docstrings are inherited.
+        {"set_message",
+         (PyCFunction)NavigationToolbar2_set_message,
+         METH_VARARGS},
+        {}  // sentinel
+    },
 };
 
 static PyObject*
@@ -5051,66 +1093,26 @@ -(void)save_figure:(id)sender
 {
     int result;
     const char* title;
-    char* default_filename;
-    if(!PyArg_ParseTuple(args, "ses", &title, "UTF-8", &default_filename))
+    const char* directory;
+    const char* default_filename;
+    if (!PyArg_ParseTuple(args, "sss", &title, &directory, &default_filename)) {
         return NULL;
-
+    }
     NSSavePanel* panel = [NSSavePanel savePanel];
-    [panel setTitle: [NSString stringWithCString: title
-                                        encoding: NSASCIIStringEncoding]];
-    NSString* ns_default_filename =
-        [[NSString alloc]
-         initWithCString: default_filename
-         encoding: NSUTF8StringEncoding];
-    PyMem_Free(default_filename);
-#ifdef COMPILING_FOR_10_6
-    [panel setNameFieldStringValue: ns_default_filename];
+    [panel setTitle: [NSString stringWithUTF8String: title]];
+    [panel setDirectoryURL: [NSURL fileURLWithPath: [NSString stringWithUTF8String: directory]
+                                       isDirectory: YES]];
+    [panel setNameFieldStringValue: [NSString stringWithUTF8String: default_filename]];
     result = [panel runModal];
-#else
-    result = [panel runModalForDirectory: nil file: ns_default_filename];
-#endif
-    [ns_default_filename release];
-    if (result == NSOKButton)
-    {
-#ifdef COMPILING_FOR_10_6
-        NSURL* url = [panel URL];
-        NSString* filename = [url path];
+    if (result == NSModalResponseOK) {
+        NSString *filename = [[panel URL] path];
         if (!filename) {
             PyErr_SetString(PyExc_RuntimeError, "Failed to obtain filename");
             return 0;
         }
-#else
-        NSString* filename = [panel filename];
-#endif
-        unsigned int n = [filename length];
-        unichar* buffer = malloc(n*sizeof(unichar));
-        [filename getCharacters: buffer];
-#if PY33
-        PyObject* string =  PyUnicode_FromKindAndData(PyUnicode_2BYTE_KIND, buffer, n);
-#else
-        PyObject* string =  PyUnicode_FromUnicode(buffer, n);
-#endif
-        free(buffer);
-        return string;
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyObject*
-set_cursor(PyObject* unused, PyObject* args)
-{
-    int i;
-    if(!PyArg_ParseTuple(args, "i", &i)) return NULL;
-    switch (i)
-    { case 0: [[NSCursor pointingHandCursor] set]; break;
-      case 1: [[NSCursor arrowCursor] set]; break;
-      case 2: [[NSCursor crosshairCursor] set]; break;
-      case 3: [[NSCursor openHandCursor] set]; break;
-      default: return NULL;
+        return PyUnicode_FromString([filename UTF8String]);
     }
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_RETURN_NONE;
 }
 
 @implementation Window
@@ -5137,89 +1139,37 @@ - (NSRect)constrainFrameRect:(NSRect)rect toScreen:(NSScreen*)screen
 
 - (BOOL)closeButtonPressed
 {
-    PyObject* result;
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(manager, "close", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
+    gil_call_method(manager, "_close_button_pressed");
     return YES;
 }
 
 - (void)close
 {
     [super close];
-    nwin--;
-    if(nwin==0) [NSApp stop: self];
-}
-
-- (void)dealloc
-{
-    PyGILState_STATE gstate;
-    gstate = PyGILState_Ensure();
-    Py_DECREF(manager);
-    PyGILState_Release(gstate);
-    /* The reference count of the view that was added as a subview to the
-     * content view of this window was increased during the call to addSubview,
-     * and is decreased during the call to [super dealloc].
+    --FigureWindowCount;
+    if (!FigureWindowCount) [NSApp stop: self];
+    /* This is needed for show(), which should exit from [NSApp run]
+     * after all windows are closed.
      */
-    [super dealloc];
-}
-@end
-
-@implementation ToolWindow
-- (ToolWindow*)initWithContentRect:(NSRect)rect master:(NSWindow*)window
-{
-    [self initWithContentRect: rect
-                    styleMask: NSTitledWindowMask
-                             | NSClosableWindowMask
-                             | NSResizableWindowMask
-                             | NSMiniaturizableWindowMask
-                      backing: NSBackingStoreBuffered
-                        defer: YES];
-    [self setTitle: @"Subplot Configuration Tool"];
-    [[NSNotificationCenter defaultCenter] addObserver: self
-                                             selector: @selector(masterCloses:)
-                                                 name: NSWindowWillCloseNotification
-                                               object: window];
-    return self;
-}
-
-- (void)masterCloses:(NSNotification*)notification
-{
-    [self close];
-}
-
-- (void)close
-{
-    [[NSNotificationCenter defaultCenter] removeObserver: self];
-    [super close];
+    // For each new window, we have incremented the manager reference, so
+    // we need to bring that down during close and not just dealloc.
+    Py_DECREF(manager);
 }
 @end
 
 @implementation View
-- (BOOL)isFlipped
-{
-    return NO;
-}
-
 - (View*)initWithFrame:(NSRect)rect
 {
     self = [super initWithFrame: rect];
     rubberband = NSZeroRect;
-    inside = false;
-    tracking = 0;
+    device_scale = 1;
     return self;
 }
 
 - (void)dealloc
 {
     FigureCanvas* fc = (FigureCanvas*)canvas;
-    if (fc) fc->view = NULL;
-    [self removeTrackingRect: tracking];
+    if (fc) { fc->view = NULL; }
     [super dealloc];
 }
 
@@ -5228,59 +1178,151 @@ - (void)setCanvas: (PyObject*)newCanvas
     canvas = newCanvas;
 }
 
--(void)drawRect:(NSRect)rect
-{
-    PyObject* result;
+static void _buffer_release(void* info, const void* data, size_t size) {
     PyGILState_STATE gstate = PyGILState_Ensure();
+    PyBuffer_Release((Py_buffer *)info);
+    free(info);
+    PyGILState_Release(gstate);
+}
+
+static int _copy_agg_buffer(CGContextRef cr, PyObject *renderer)
+{
+    Py_buffer *buffer = malloc(sizeof(Py_buffer));
 
-    PyObject* figure = PyObject_GetAttrString(canvas, "figure");
-    if (!figure)
-    {
+    if (PyObject_GetBuffer(renderer, buffer, PyBUF_CONTIG_RO) == -1) {
         PyErr_Print();
-        PyGILState_Release(gstate);
-        return;
+        return 1;
     }
-    PyObject* renderer = PyObject_GetAttrString(canvas, "renderer");
-    if (!renderer)
-    {
-        PyErr_Print();
-        Py_DECREF(figure);
-        PyGILState_Release(gstate);
-        return;
+
+    if (buffer->ndim != 3 || buffer->shape[2] != 4) {
+        _buffer_release(buffer, NULL, 0);
+        return 1;
     }
-    GraphicsContext* gc = (GraphicsContext*) PyObject_GetAttrString(renderer, "gc");
-    if (!gc)
-    {
-        PyErr_Print();
-        Py_DECREF(figure);
-        Py_DECREF(renderer);
-        PyGILState_Release(gstate);
-        return;
+
+    const Py_ssize_t nrows = buffer->shape[0];
+    const Py_ssize_t ncols = buffer->shape[1];
+    const size_t bytesPerComponent = 1;
+    const size_t bitsPerComponent = 8 * bytesPerComponent;
+    const size_t nComponents = 4; /* red, green, blue, alpha */
+    const size_t bitsPerPixel = bitsPerComponent * nComponents;
+    const size_t bytesPerRow = nComponents * bytesPerComponent * ncols;
+
+    CGColorSpaceRef colorspace = CGColorSpaceCreateWithName(kCGColorSpaceSRGB);
+    if (!colorspace) {
+        _buffer_release(buffer, NULL, 0);
+        return 1;
     }
 
-    gc->size = [self frame].size;
+    CGDataProviderRef provider = CGDataProviderCreateWithData(buffer,
+                                                              buffer->buf,
+                                                              buffer->len,
+                                                              _buffer_release);
+    if (!provider) {
+        _buffer_release(buffer, NULL, 0);
+        CGColorSpaceRelease(colorspace);
+        return 1;
+    }
+
+    CGBitmapInfo bitmapInfo = kCGBitmapByteOrderDefault | kCGImageAlphaLast;
+    CGImageRef bitmap = CGImageCreate(ncols,
+                                      nrows,
+                                      bitsPerComponent,
+                                      bitsPerPixel,
+                                      bytesPerRow,
+                                      colorspace,
+                                      bitmapInfo,
+                                      provider,
+                                      NULL,
+                                      false,
+                                      kCGRenderingIntentDefault);
+    CGColorSpaceRelease(colorspace);
+    CGDataProviderRelease(provider);
 
-    CGContextRef cr = (CGContextRef) [[NSGraphicsContext currentContext] graphicsPort];
-    gc->cr = cr;
-    gc->level = 0;
+    if (!bitmap) {
+        return 1;
+    }
 
-    result = PyObject_CallMethod(figure, "draw", "O", renderer);
-    if(result)
-        Py_DECREF(result);
-    else
+    CGFloat deviceScale = _get_device_scale(cr);
+    CGContextSaveGState(cr);
+    CGContextDrawImage(cr, CGRectMake(0, 0, ncols/deviceScale, nrows/deviceScale), bitmap);
+    CGImageRelease(bitmap);
+    CGContextRestoreGState(cr);
+
+    return 0;
+}
+
+-(void)drawRect:(NSRect)rect
+{
+    PyObject* renderer = NULL;
+    PyObject* renderer_buffer = NULL;
+
+    PyGILState_STATE gstate = PyGILState_Ensure();
+
+    CGContextRef cr = [[NSGraphicsContext currentContext] CGContext];
+
+    if (!(renderer = PyObject_CallMethod(canvas, "get_renderer", ""))
+        || !(renderer_buffer = PyObject_CallMethod(renderer, "buffer_rgba", ""))) {
         PyErr_Print();
+        goto exit;
+    }
+    if (_copy_agg_buffer(cr, renderer_buffer)) {
+        printf("copy_agg_buffer failed\n");
+        goto exit;
+    }
+    if (!NSIsEmptyRect(rubberband)) {
+        // We use bezier paths so we can stroke the outside with a dash
+        // pattern alternating white/black with two separate paths offset
+        // in phase.
+        NSBezierPath *white_path = [NSBezierPath bezierPathWithRect: rubberband];
+        NSBezierPath *black_path = [NSBezierPath bezierPathWithRect: rubberband];
+        CGFloat dash_pattern[2] = {3, 3};
+        [white_path setLineDash: dash_pattern count: 2 phase: 0];
+        [black_path setLineDash: dash_pattern count: 2 phase: 3];
+        [[NSColor whiteColor] setStroke];
+        [white_path stroke];
+        [[NSColor blackColor] setStroke];
+        [black_path stroke];
+    }
+
+  exit:
+    Py_XDECREF(renderer_buffer);
+    Py_XDECREF(renderer);
+
+    PyGILState_Release(gstate);
+}
 
-    gc->cr = nil;
+- (void)updateDevicePixelRatio:(double)scale
+{
+    PyObject* change = NULL;
+    PyGILState_STATE gstate = PyGILState_Ensure();
 
-    if (!NSIsEmptyRect(rubberband)) NSFrameRect(rubberband);
+    device_scale = scale;
+    if (!(change = PyObject_CallMethod(canvas, "_set_device_pixel_ratio", "d", device_scale))) {
+        PyErr_Print();
+        goto exit;
+    }
+    if (PyObject_IsTrue(change)) {
+        // Notify that there was a resize_event that took place
+        process_event(
+            "ResizeEvent", "{s:s, s:O}",
+            "name", "resize_event", "canvas", canvas);
+        gil_call_method(canvas, "draw_idle");
+        [self setNeedsDisplay: YES];
+    }
 
-    Py_DECREF(gc);
-    Py_DECREF(figure);
-    Py_DECREF(renderer);
+  exit:
+    Py_XDECREF(change);
 
     PyGILState_Release(gstate);
 }
 
+- (void)windowDidChangeBackingProperties:(NSNotification *)notification
+{
+    Window* window = [notification object];
+
+    [self updateDevicePixelRatio: [window backingScaleFactor]];
+}
+
 - (void)windowDidResize: (NSNotification*)notification
 {
     int width, height;
@@ -5292,41 +1334,28 @@ - (void)windowDidResize: (NSNotification*)notification
     width = size.width;
     height = size.height;
 
-    [self setFrameSize: size];
-
     PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "resize", "ii", width, height);
-    if(result)
+    PyObject* result = PyObject_CallMethod(
+            canvas, "resize", "ii", width, height);
+    if (result)
         Py_DECREF(result);
     else
         PyErr_Print();
     PyGILState_Release(gstate);
-    if (tracking) [self removeTrackingRect: tracking];
-    tracking = [self addTrackingRect: [self bounds]
-                               owner: self
-                            userData: nil
-                        assumeInside: NO];
     [self setNeedsDisplay: YES];
 }
 
 - (void)windowWillClose:(NSNotification*)notification
 {
-    PyGILState_STATE gstate;
-    PyObject* result;
-
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "close_event", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
+    process_event(
+        "CloseEvent", "{s:s, s:O}",
+        "name", "close_event", "canvas", canvas);
 }
 
 - (BOOL)windowShouldClose:(NSNotification*)notification
 {
     NSWindow* window = [self window];
-    NSEvent* event = [NSEvent otherEventWithType: NSApplicationDefined
+    NSEvent* event = [NSEvent otherEventWithType: NSEventTypeApplicationDefined
                                         location: NSZeroPoint
                                    modifierFlags: 0
                                        timestamp: 0.0
@@ -5336,126 +1365,104 @@ - (BOOL)windowShouldClose:(NSNotification*)notification
                                            data1: 0
                                            data2: 0];
     [NSApp postEvent: event atStart: true];
-    if ([window respondsToSelector: @selector(closeButtonPressed)])
-    { BOOL closed = [((Window*) window) closeButtonPressed];
-      /* If closed, the window has already been closed via the manager. */
-      if (closed) return NO;
+    if ([window respondsToSelector: @selector(closeButtonPressed)]) {
+        BOOL closed = [((Window*) window) closeButtonPressed];
+        /* If closed, the window has already been closed via the manager. */
+        if (closed) { return NO; }
     }
     return YES;
 }
 
 - (void)mouseEntered:(NSEvent *)event
 {
-    PyGILState_STATE gstate;
-    PyObject* result;
-    NSWindow* window = [self window];
-    if ([window isKeyWindow]==false) return;
-
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "enter_notify_event", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-
-    [window setAcceptsMouseMovedEvents: YES];
-    inside = true;
+    int x, y;
+    NSPoint location = [event locationInWindow];
+    location = [self convertPoint: location fromView: nil];
+    x = location.x * device_scale;
+    y = location.y * device_scale;
+    process_event(
+        "LocationEvent", "{s:s, s:O, s:i, s:i, s:N}",
+        "name", "figure_enter_event", "canvas", canvas, "x", x, "y", y,
+        "modifiers", mpl_modifiers(event));
 }
 
-- (void)mouseExited:(NSEvent *)event
-{
-    PyGILState_STATE gstate;
-    PyObject* result;
-    NSWindow* window = [self window];
-    if ([window isKeyWindow]==false) return;
-
-    if (inside==false) return;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "leave_notify_event", "");
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-    PyGILState_Release(gstate);
-
-    [[self window] setAcceptsMouseMovedEvents: NO];
-    inside = false;
+- (void)mouseExited:(NSEvent *)event
+{
+    int x, y;
+    NSPoint location = [event locationInWindow];
+    location = [self convertPoint: location fromView: nil];
+    x = location.x * device_scale;
+    y = location.y * device_scale;
+    process_event(
+        "LocationEvent", "{s:s, s:O, s:i, s:i, s:N}",
+        "name", "figure_leave_event", "canvas", canvas, "x", x, "y", y,
+        "modifiers", mpl_modifiers(event));
 }
 
 - (void)mouseDown:(NSEvent *)event
 {
     int x, y;
-    int num;
+    int button;
     int dblclick = 0;
-    PyObject* result;
-    PyGILState_STATE gstate;
     NSPoint location = [event locationInWindow];
     location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
+    x = location.x * device_scale;
+    y = location.y * device_scale;
     switch ([event type])
-    {    case NSLeftMouseDown:
+    {    case NSEventTypeLeftMouseDown:
          {   unsigned int modifier = [event modifierFlags];
-             if (modifier & NSControlKeyMask)
+             if (modifier & NSEventModifierFlagControl)
                  /* emulate a right-button click */
-                 num = 3;
-             else if (modifier & NSAlternateKeyMask)
+                 button = 3;
+             else if (modifier & NSEventModifierFlagOption)
                  /* emulate a middle-button click */
-                 num = 2;
+                 button = 2;
              else
              {
-                 num = 1;
-                 if ([NSCursor currentCursor]==[NSCursor openHandCursor])
+                 button = 1;
+                 if ([NSCursor currentCursor]==[NSCursor openHandCursor]) {
+                     leftMouseGrabbing = true;
                      [[NSCursor closedHandCursor] set];
+                 }
              }
              break;
          }
-         case NSOtherMouseDown: num = 2; break;
-         case NSRightMouseDown: num = 3; break;
+         case NSEventTypeOtherMouseDown: button = 2; break;
+         case NSEventTypeRightMouseDown: button = 3; break;
          default: return; /* Unknown mouse event */
     }
     if ([event clickCount] == 2) {
       dblclick = 1;
     }
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "button_press_event", "iiii", x, y, num, dblclick);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
+    process_event(
+        "MouseEvent", "{s:s, s:O, s:i, s:i, s:i, s:i, s:N}",
+        "name", "button_press_event", "canvas", canvas, "x", x, "y", y,
+        "button", button, "dblclick", dblclick, "modifiers", mpl_modifiers(event));
 }
 
 - (void)mouseUp:(NSEvent *)event
 {
-    int num;
+    int button;
     int x, y;
-    PyObject* result;
-    PyGILState_STATE gstate;
     NSPoint location = [event locationInWindow];
     location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
+    x = location.x * device_scale;
+    y = location.y * device_scale;
     switch ([event type])
-    {    case NSLeftMouseUp:
-             num = 1;
+    {    case NSEventTypeLeftMouseUp:
+             leftMouseGrabbing = false;
+             button = 1;
              if ([NSCursor currentCursor]==[NSCursor closedHandCursor])
                  [[NSCursor openHandCursor] set];
              break;
-         case NSOtherMouseUp: num = 2; break;
-         case NSRightMouseUp: num = 3; break;
+         case NSEventTypeOtherMouseUp: button = 2; break;
+         case NSEventTypeRightMouseUp: button = 3; break;
          default: return; /* Unknown mouse event */
     }
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "button_release_event", "iii", x, y, num);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
+    process_event(
+        "MouseEvent", "{s:s, s:O, s:i, s:i, s:i, s:N}",
+        "name", "button_release_event", "canvas", canvas, "x", x, "y", y,
+        "button", button, "modifiers", mpl_modifiers(event));
 }
 
 - (void)mouseMoved:(NSEvent *)event
@@ -5463,16 +1470,12 @@ - (void)mouseMoved:(NSEvent *)event
     int x, y;
     NSPoint location = [event locationInWindow];
     location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "motion_notify_event", "ii", x, y);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
+    x = location.x * device_scale;
+    y = location.y * device_scale;
+    process_event(
+        "MouseEvent", "{s:s, s:O, s:i, s:i, s:N, s:N}",
+        "name", "motion_notify_event", "canvas", canvas, "x", x, "y", y,
+        "buttons", mpl_buttons(), "modifiers", mpl_modifiers(event));
 }
 
 - (void)mouseDragged:(NSEvent *)event
@@ -5480,280 +1483,173 @@ - (void)mouseDragged:(NSEvent *)event
     int x, y;
     NSPoint location = [event locationInWindow];
     location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "motion_notify_event", "ii", x, y);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
-
-- (void)rightMouseDown:(NSEvent *)event
-{
-    int x, y;
-    int num = 3;
-    int dblclick = 0;
-    PyObject* result;
-    PyGILState_STATE gstate;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    gstate = PyGILState_Ensure();
-    if ([event clickCount] == 2) {
-      dblclick = 1;
-    }
-    result = PyObject_CallMethod(canvas, "button_press_event", "iiii", x, y, num, dblclick);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
-
-- (void)rightMouseUp:(NSEvent *)event
-{
-    int x, y;
-    int num = 3;
-    PyObject* result;
-    PyGILState_STATE gstate;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "button_release_event", "iii", x, y, num);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
-
-- (void)rightMouseDragged:(NSEvent *)event
-{
-    int x, y;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "motion_notify_event", "ii", x, y);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
-
-- (void)otherMouseDown:(NSEvent *)event
-{
-    int x, y;
-    int num = 2;
-    int dblclick = 0;
-    PyObject* result;
-    PyGILState_STATE gstate;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    gstate = PyGILState_Ensure();
-    if ([event clickCount] == 2) {
-      dblclick = 1;
-    }
-    result = PyObject_CallMethod(canvas, "button_press_event", "iiii", x, y, num, dblclick);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
-
-- (void)otherMouseUp:(NSEvent *)event
-{
-    int x, y;
-    int num = 2;
-    PyObject* result;
-    PyGILState_STATE gstate;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "button_release_event", "iii", x, y, num);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
+    x = location.x * device_scale;
+    y = location.y * device_scale;
+    process_event(
+        "MouseEvent", "{s:s, s:O, s:i, s:i, s:N, s:N}",
+        "name", "motion_notify_event", "canvas", canvas, "x", x, "y", y,
+        "buttons", mpl_buttons(), "modifiers", mpl_modifiers(event));
 }
 
-- (void)otherMouseDragged:(NSEvent *)event
-{
-    int x, y;
-    NSPoint location = [event locationInWindow];
-    location = [self convertPoint: location fromView: nil];
-    x = location.x;
-    y = location.y;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "motion_notify_event", "ii", x, y);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
+- (void)rightMouseDown:(NSEvent *)event { [self mouseDown: event]; }
+- (void)rightMouseUp:(NSEvent *)event { [self mouseUp: event]; }
+- (void)rightMouseDragged:(NSEvent *)event { [self mouseDragged: event]; }
+- (void)otherMouseDown:(NSEvent *)event { [self mouseDown: event]; }
+- (void)otherMouseUp:(NSEvent *)event { [self mouseUp: event]; }
+- (void)otherMouseDragged:(NSEvent *)event { [self mouseDragged: event]; }
 
 - (void)setRubberband:(NSRect)rect
 {
-    if (!NSIsEmptyRect(rubberband)) [self setNeedsDisplayInRect: rubberband];
+    // The space we want to redraw is a union of the previous rubberband
+    // with the new rubberband and then expanded (negative inset) by one
+    // in each direction to account for the stroke linewidth.
+    [self setNeedsDisplayInRect: NSInsetRect(NSUnionRect(rect, rubberband), -1, -1)];
     rubberband = rect;
-    [self setNeedsDisplayInRect: rubberband];
 }
 
 - (void)removeRubberband
 {
-    if (NSIsEmptyRect(rubberband)) return;
+    if (NSIsEmptyRect(rubberband)) { return; }
     [self setNeedsDisplayInRect: rubberband];
     rubberband = NSZeroRect;
 }
 
-
-
 - (const char*)convertKeyEvent:(NSEvent*)event
 {
-    NSDictionary* specialkeymappings = [NSDictionary dictionaryWithObjectsAndKeys:
-                                        @"left", [NSNumber numberWithUnsignedLong:NSLeftArrowFunctionKey],
-                                        @"right", [NSNumber numberWithUnsignedLong:NSRightArrowFunctionKey],
-                                        @"up", [NSNumber numberWithUnsignedLong:NSUpArrowFunctionKey],
-                                        @"down", [NSNumber numberWithUnsignedLong:NSDownArrowFunctionKey],
-                                        @"f1", [NSNumber numberWithUnsignedLong:NSF1FunctionKey],
-                                        @"f2", [NSNumber numberWithUnsignedLong:NSF2FunctionKey],
-                                        @"f3", [NSNumber numberWithUnsignedLong:NSF3FunctionKey],
-                                        @"f4", [NSNumber numberWithUnsignedLong:NSF4FunctionKey],
-                                        @"f5", [NSNumber numberWithUnsignedLong:NSF5FunctionKey],
-                                        @"f6", [NSNumber numberWithUnsignedLong:NSF6FunctionKey],
-                                        @"f7", [NSNumber numberWithUnsignedLong:NSF7FunctionKey],
-                                        @"f8", [NSNumber numberWithUnsignedLong:NSF8FunctionKey],
-                                        @"f9", [NSNumber numberWithUnsignedLong:NSF9FunctionKey],
-                                        @"f10", [NSNumber numberWithUnsignedLong:NSF10FunctionKey],
-                                        @"f11", [NSNumber numberWithUnsignedLong:NSF11FunctionKey],
-                                        @"f12", [NSNumber numberWithUnsignedLong:NSF12FunctionKey],
-                                        @"f13", [NSNumber numberWithUnsignedLong:NSF13FunctionKey],
-                                        @"f14", [NSNumber numberWithUnsignedLong:NSF14FunctionKey],
-                                        @"f15", [NSNumber numberWithUnsignedLong:NSF15FunctionKey],
-                                        @"f16", [NSNumber numberWithUnsignedLong:NSF16FunctionKey],
-                                        @"f17", [NSNumber numberWithUnsignedLong:NSF17FunctionKey],
-                                        @"f18", [NSNumber numberWithUnsignedLong:NSF18FunctionKey],
-                                        @"f19", [NSNumber numberWithUnsignedLong:NSF19FunctionKey],
-                                        @"scroll_lock", [NSNumber numberWithUnsignedLong:NSScrollLockFunctionKey],
-                                        @"break", [NSNumber numberWithUnsignedLong:NSBreakFunctionKey],
-                                        @"insert", [NSNumber numberWithUnsignedLong:NSInsertFunctionKey],
-                                        @"delete", [NSNumber numberWithUnsignedLong:NSDeleteFunctionKey],
-                                        @"home", [NSNumber numberWithUnsignedLong:NSHomeFunctionKey],
-                                        @"end", [NSNumber numberWithUnsignedLong:NSEndFunctionKey],
-                                        @"pagedown", [NSNumber numberWithUnsignedLong:NSPageDownFunctionKey],
-                                        @"pageup", [NSNumber numberWithUnsignedLong:NSPageUpFunctionKey],
-                                        @"backspace", [NSNumber numberWithUnsignedLong:NSDeleteCharacter],
-                                        @"enter", [NSNumber numberWithUnsignedLong:NSEnterCharacter],
-                                        @"tab", [NSNumber numberWithUnsignedLong:NSTabCharacter],
-                                        @"enter", [NSNumber numberWithUnsignedLong:NSCarriageReturnCharacter],
-                                        @"backtab", [NSNumber numberWithUnsignedLong:NSBackTabCharacter],
-                                        @"escape", [NSNumber numberWithUnsignedLong:27],
-                                        nil
-                                        ];
-
     NSMutableString* returnkey = [NSMutableString string];
-    if ([event modifierFlags] & NSControlKeyMask)
-        [returnkey appendString:@"ctrl+" ];
-    if ([event modifierFlags] & NSAlternateKeyMask)
+    if (keyChangeControl) {
+        // When control is the key that was pressed, return the full word
+        [returnkey appendString:@"control+"];
+    } else if (([event modifierFlags] & NSEventModifierFlagControl)) {
+        // If control is already pressed, return the shortened version
+        [returnkey appendString:@"ctrl+"];
+    }
+    if (([event modifierFlags] & NSEventModifierFlagOption) || keyChangeOption) {
         [returnkey appendString:@"alt+" ];
-    if ([event modifierFlags] & NSCommandKeyMask)
+    }
+    if (([event modifierFlags] & NSEventModifierFlagCommand) || keyChangeCommand) {
         [returnkey appendString:@"cmd+" ];
-
-    unichar uc = [[event charactersIgnoringModifiers] characterAtIndex:0];
-    NSString* specialchar = [specialkeymappings objectForKey:[NSNumber numberWithUnsignedLong:uc]];
-    if (specialchar)
-        [returnkey appendString:specialchar];
-    else
-        [returnkey appendString:[event charactersIgnoringModifiers]];
+    }
+    // Don't print caps_lock unless it was the key that got pressed
+    if (keyChangeCapsLock) {
+        [returnkey appendString:@"caps_lock+" ];
+    }
+
+    // flagsChanged event can't handle charactersIgnoringModifiers
+    // because it was a modifier key that was pressed/released
+    if (event.type != NSEventTypeFlagsChanged) {
+        NSString* specialchar;
+        switch ([[event charactersIgnoringModifiers] characterAtIndex:0]) {
+            case NSLeftArrowFunctionKey: specialchar = @"left"; break;
+            case NSRightArrowFunctionKey: specialchar = @"right"; break;
+            case NSUpArrowFunctionKey: specialchar = @"up"; break;
+            case NSDownArrowFunctionKey: specialchar = @"down"; break;
+            case NSF1FunctionKey: specialchar = @"f1"; break;
+            case NSF2FunctionKey: specialchar = @"f2"; break;
+            case NSF3FunctionKey: specialchar = @"f3"; break;
+            case NSF4FunctionKey: specialchar = @"f4"; break;
+            case NSF5FunctionKey: specialchar = @"f5"; break;
+            case NSF6FunctionKey: specialchar = @"f6"; break;
+            case NSF7FunctionKey: specialchar = @"f7"; break;
+            case NSF8FunctionKey: specialchar = @"f8"; break;
+            case NSF9FunctionKey: specialchar = @"f9"; break;
+            case NSF10FunctionKey: specialchar = @"f10"; break;
+            case NSF11FunctionKey: specialchar = @"f11"; break;
+            case NSF12FunctionKey: specialchar = @"f12"; break;
+            case NSF13FunctionKey: specialchar = @"f13"; break;
+            case NSF14FunctionKey: specialchar = @"f14"; break;
+            case NSF15FunctionKey: specialchar = @"f15"; break;
+            case NSF16FunctionKey: specialchar = @"f16"; break;
+            case NSF17FunctionKey: specialchar = @"f17"; break;
+            case NSF18FunctionKey: specialchar = @"f18"; break;
+            case NSF19FunctionKey: specialchar = @"f19"; break;
+            case NSScrollLockFunctionKey: specialchar = @"scroll_lock"; break;
+            case NSBreakFunctionKey: specialchar = @"break"; break;
+            case NSInsertFunctionKey: specialchar = @"insert"; break;
+            case NSDeleteFunctionKey: specialchar = @"delete"; break;
+            case NSHomeFunctionKey: specialchar = @"home"; break;
+            case NSEndFunctionKey: specialchar = @"end"; break;
+            case NSPageDownFunctionKey: specialchar = @"pagedown"; break;
+            case NSPageUpFunctionKey: specialchar = @"pageup"; break;
+            case NSDeleteCharacter: specialchar = @"backspace"; break;
+            case NSEnterCharacter: specialchar = @"enter"; break;
+            case NSTabCharacter: specialchar = @"tab"; break;
+            case NSCarriageReturnCharacter: specialchar = @"enter"; break;
+            case NSBackTabCharacter: specialchar = @"backtab"; break;
+            case 27: specialchar = @"escape"; break;
+            default: specialchar = nil;
+        }
+        if (specialchar) {
+            if (([event modifierFlags] & NSEventModifierFlagShift) || keyChangeShift) {
+                [returnkey appendString:@"shift+"];
+            }
+            [returnkey appendString:specialchar];
+        } else {
+            [returnkey appendString:[event charactersIgnoringModifiers]];
+        }
+    } else {
+        if (([event modifierFlags] & NSEventModifierFlagShift) || keyChangeShift) {
+            [returnkey appendString:@"shift+"];
+        }
+        // Since it was a modifier event trim the final character of the string
+        // because we added in "+" earlier
+        [returnkey setString: [returnkey substringToIndex:[returnkey length] - 1]];
+    }
 
     return [returnkey UTF8String];
 }
 
 - (void)keyDown:(NSEvent*)event
 {
-    PyObject* result;
     const char* s = [self convertKeyEvent: event];
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    if (s==NULL)
-    {
-        result = PyObject_CallMethod(canvas, "key_press_event", "O", Py_None);
-    }
-    else
-    {
-        result = PyObject_CallMethod(canvas, "key_press_event", "s", s);
+    NSPoint location = [[self window] mouseLocationOutsideOfEventStream];
+    location = [self convertPoint: location fromView: nil];
+    int x = location.x * device_scale,
+        y = location.y * device_scale;
+    if (s) {
+        process_event(
+            "KeyEvent", "{s:s, s:O, s:s, s:i, s:i}",
+            "name", "key_press_event", "canvas", canvas, "key", s, "x", x, "y", y);
+    } else {
+        process_event(
+            "KeyEvent", "{s:s, s:O, s:O, s:i, s:i}",
+            "name", "key_press_event", "canvas", canvas, "key", Py_None, "x", x, "y", y);
     }
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
 }
 
 - (void)keyUp:(NSEvent*)event
 {
-    PyObject* result;
     const char* s = [self convertKeyEvent: event];
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    if (s==NULL)
-    {
-        result = PyObject_CallMethod(canvas, "key_release_event", "O", Py_None);
-    }
-    else
-    {
-        result = PyObject_CallMethod(canvas, "key_release_event", "s", s);
+    NSPoint location = [[self window] mouseLocationOutsideOfEventStream];
+    location = [self convertPoint: location fromView: nil];
+    int x = location.x * device_scale,
+        y = location.y * device_scale;
+    if (s) {
+        process_event(
+            "KeyEvent", "{s:s, s:O, s:s, s:i, s:i}",
+            "name", "key_release_event", "canvas", canvas, "key", s, "x", x, "y", y);
+    } else {
+        process_event(
+            "KeyEvent", "{s:s, s:O, s:O, s:i, s:i}",
+            "name", "key_release_event", "canvas", canvas, "key", Py_None, "x", x, "y", y);
     }
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
 }
 
 - (void)scrollWheel:(NSEvent*)event
 {
     int step;
     float d = [event deltaY];
-    if (d > 0) step = 1;
-    else if (d < 0) step = -1;
+    if (d > 0) { step = 1; }
+    else if (d < 0) { step = -1; }
     else return;
     NSPoint location = [event locationInWindow];
     NSPoint point = [self convertPoint: location fromView: nil];
-    int x = (int)round(point.x);
-    int y = (int)round(point.y - 1);
-
-    PyObject* result;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    result = PyObject_CallMethod(canvas, "scroll_event", "iii", x, y, step);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
+    int x = (int)round(point.x * device_scale);
+    int y = (int)round(point.y * device_scale - 1);
+    process_event(
+        "MouseEvent", "{s:s, s:O, s:i, s:i, s:i, s:N}",
+        "name", "scroll_event", "canvas", canvas,
+        "x", x, "y", y, "step", step, "modifiers", mpl_modifiers(event));
 }
 
 - (BOOL)acceptsFirstResponder
@@ -5761,166 +1657,92 @@ - (BOOL)acceptsFirstResponder
     return YES;
 }
 
-/* This is all wrong. Address of pointer is being passed instead of pointer, keynames don't
-   match up with what the front-end and does the front-end even handle modifier keys by themselves?
-
-- (void)flagsChanged:(NSEvent*)event
-{
-    const char *s = NULL;
-    if (([event modifierFlags] & NSControlKeyMask) == NSControlKeyMask)
-        s = "control";
-    else if (([event modifierFlags] & NSShiftKeyMask) == NSShiftKeyMask)
-        s = "shift";
-    else if (([event modifierFlags] & NSAlternateKeyMask) == NSAlternateKeyMask)
-        s = "alt";
-    else return;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallMethod(canvas, "key_press_event", "s", &s);
-    if(result)
-        Py_DECREF(result);
-    else
-        PyErr_Print();
-
-    PyGILState_Release(gstate);
-}
- */
-@end
-
-@implementation ScrollableButton
-- (void)setScrollWheelUpAction:(SEL)action
-{
-    scrollWheelUpAction = action;
-}
-
-- (void)setScrollWheelDownAction:(SEL)action
-{
-    scrollWheelDownAction = action;
-}
-
-- (void)scrollWheel:(NSEvent*)event
-{
-    float d = [event deltaY];
-    Window* target = [self target];
-    if (d > 0)
-        [NSApp sendAction: scrollWheelUpAction to: target from: self];
-    else if (d < 0)
-        [NSApp sendAction: scrollWheelDownAction to: target from: self];
-}
-@end
-
-@implementation MenuItem
-+ (MenuItem*)menuItemWithTitle: (NSString*)title
-{
-    MenuItem* item = [[MenuItem alloc] initWithTitle: title
-                                              action: nil
-                                       keyEquivalent: @""];
-    item->index = -1;
-    return [item autorelease];
-}
-
-+ (MenuItem*)menuItemForAxis: (int)i
-{
-    NSString* title = [NSString stringWithFormat: @"Axis %d", i+1];
-    MenuItem* item = [[MenuItem alloc] initWithTitle: title
-                                              action: @selector(toggle:)
-                                       keyEquivalent: @""];
-    [item setTarget: item];
-    [item setState: NSOnState];
-    item->index = i;
-    return [item autorelease];
-}
-
-+ (MenuItem*)menuItemSelectAll
-{
-    MenuItem* item = [[MenuItem alloc] initWithTitle: @"Select All"
-                                              action: @selector(selectAll:)
-                                       keyEquivalent: @""];
-    [item setTarget: item];
-    item->index = -1;
-    return [item autorelease];
-}
-
-+ (MenuItem*)menuItemInvertAll
-{
-    MenuItem* item = [[MenuItem alloc] initWithTitle: @"Invert All"
-                                              action: @selector(invertAll:)
-                                       keyEquivalent: @""];
-    [item setTarget: item];
-    item->index = -1;
-    return [item autorelease];
-}
-
-- (void)toggle:(id)sender
-{
-    if ([self state]) [self setState: NSOffState];
-    else [self setState: NSOnState];
-}
-
-- (void)selectAll:(id)sender
-{
-    NSMenu* menu = [sender menu];
-    if(!menu) return; /* Weird */
-    NSArray* items = [menu itemArray];
-    NSEnumerator* enumerator = [items objectEnumerator];
-    MenuItem* item;
-    while ((item = [enumerator nextObject]))
-    {
-        if (item->index >= 0) [item setState: NSOnState];
+// flagsChanged gets called whenever a  modifier key is pressed OR released
+// so we need to handle both cases here
+- (void)flagsChanged:(NSEvent *)event
+{
+    bool isPress = false; // true if key is pressed, false if key was released
+
+    // Each if clause tests the two cases for each of the keys we can handle
+    // 1. If the modifier flag "command key" is pressed and it was not previously
+    // 2. If the modifier flag "command key" is not pressed and it was previously
+    // !! converts the result of the bitwise & operator to a logical boolean,
+    // which allows us to then bitwise xor (^) the result with a boolean (lastCommand).
+    if (!!([event modifierFlags] & NSEventModifierFlagCommand) ^ lastCommand) {
+        // Command pressed/released
+        lastCommand = !lastCommand;
+        keyChangeCommand = true;
+        isPress = lastCommand;
+    } else if (!!([event modifierFlags] & NSEventModifierFlagControl) ^ lastControl) {
+        // Control pressed/released
+        lastControl = !lastControl;
+        keyChangeControl = true;
+        isPress = lastControl;
+    } else if (!!([event modifierFlags] & NSEventModifierFlagShift) ^ lastShift) {
+        // Shift pressed/released
+        lastShift = !lastShift;
+        keyChangeShift = true;
+        isPress = lastShift;
+    } else if (!!([event modifierFlags] & NSEventModifierFlagOption) ^ lastOption) {
+        // Option pressed/released
+        lastOption = !lastOption;
+        keyChangeOption = true;
+        isPress = lastOption;
+    } else if (!!([event modifierFlags] & NSEventModifierFlagCapsLock) ^ lastCapsLock) {
+        // Capslock pressed/released
+        lastCapsLock = !lastCapsLock;
+        keyChangeCapsLock = true;
+        isPress = lastCapsLock;
+    } else {
+        // flag we don't handle
+        return;
     }
-}
 
-- (void)invertAll:(id)sender
-{
-    NSMenu* menu = [sender menu];
-    if(!menu) return; /* Weird */
-    NSArray* items = [menu itemArray];
-    NSEnumerator* enumerator = [items objectEnumerator];
-    MenuItem* item;
-    while ((item = [enumerator nextObject]))
-    {
-        if (item->index < 0) continue;
-        if ([item state]==NSOffState) [item setState: NSOnState];
-        else [item setState: NSOffState];
+    if (isPress) {
+        [self keyDown:event];
+    } else {
+        [self keyUp:event];
     }
-}
 
-- (int)index
-{
-    return self->index;
+    // Reset the state for the key changes after handling the event
+    keyChangeCommand = false;
+    keyChangeControl = false;
+    keyChangeShift = false;
+    keyChangeOption = false;
+    keyChangeCapsLock = false;
 }
 @end
 
-
 static PyObject*
 show(PyObject* self)
 {
-    if(nwin > 0)
-    {
-        [NSApp activateIgnoringOtherApps: YES];
-        NSAutoreleasePool* pool = [[NSAutoreleasePool alloc] init];
-        NSArray *windowsArray = [NSApp windows];
-        NSEnumerator *enumerator = [windowsArray objectEnumerator];
-        NSWindow *window;
-        while ((window = [enumerator nextObject])) {
-            [window orderFront:nil];
-        }
-        [pool release];
-        [NSApp run];
+    [NSApp activateIgnoringOtherApps: YES];
+    NSArray *windowsArray = [NSApp windows];
+    NSEnumerator *enumerator = [windowsArray objectEnumerator];
+    NSWindow *window;
+    while ((window = [enumerator nextObject])) {
+        [window orderFront:nil];
     }
-    Py_INCREF(Py_None);
-    return Py_None;
+    Py_BEGIN_ALLOW_THREADS
+    [NSApp run];
+    Py_END_ALLOW_THREADS
+    Py_RETURN_NONE;
 }
 
 typedef struct {
     PyObject_HEAD
-    CFRunLoopTimerRef timer;
+    NSTimer* timer;
+
 } Timer;
 
 static PyObject*
 Timer_new(PyTypeObject* type, PyObject *args, PyObject *kwds)
 {
+    lazy_init();
     Timer* self = (Timer*)type->tp_alloc(type, 0);
-    if (!self) return NULL;
+    if (!self) {
+        return NULL;
+    }
     self->timer = NULL;
     return (PyObject*) self;
 }
@@ -5928,296 +1750,155 @@ - (int)index
 static PyObject*
 Timer_repr(Timer* self)
 {
-#if PY3K
-    return PyUnicode_FromFormat("Timer object %p wrapping CFRunLoopTimerRef %p",
-                               (void*) self, (void*)(self->timer));
-#else
-    return PyString_FromFormat("Timer object %p wrapping CFRunLoopTimerRef %p",
+    return PyUnicode_FromFormat("Timer object %p wrapping NSTimer %p",
                                (void*) self, (void*)(self->timer));
-#endif
-}
-
-static char Timer_doc[] =
-"A Timer object wraps a CFRunLoopTimerRef and can add it to the event loop.\n";
-
-static void timer_callback(CFRunLoopTimerRef timer, void* info)
-{
-    PyObject* method = info;
-    PyGILState_STATE gstate = PyGILState_Ensure();
-    PyObject* result = PyObject_CallFunction(method, NULL);
-    if (result==NULL) PyErr_Print();
-    PyGILState_Release(gstate);
 }
 
 static PyObject*
 Timer__timer_start(Timer* self, PyObject* args)
 {
-    CFRunLoopRef runloop;
-    CFRunLoopTimerRef timer;
-    CFRunLoopTimerContext context;
-    double milliseconds;
-    CFTimeInterval interval;
-    PyObject* attribute;
-    PyObject* failure;
-    runloop = CFRunLoopGetCurrent();
-    if (!runloop) {
-        PyErr_SetString(PyExc_RuntimeError, "Failed to obtain run loop");
-        return NULL;
-    }
-    context.version = 0;
-    context.retain = 0;
-    context.release = 0;
-    context.copyDescription = 0;
-    attribute = PyObject_GetAttrString((PyObject*)self, "_interval");
-    if (attribute==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Timer has no attribute '_interval'");
-        return NULL;
-    }
-    milliseconds = PyFloat_AsDouble(attribute);
-    failure = PyErr_Occurred();
-    Py_DECREF(attribute);
-    if (failure) return NULL;
-    attribute = PyObject_GetAttrString((PyObject*)self, "_single");
-    if (attribute==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Timer has no attribute '_single'");
-        return NULL;
-    }
-    switch (PyObject_IsTrue(attribute)) {
-        case 1:
-            interval = 0;
-            break;
-        case 0:
-            interval = milliseconds / 1000.0;
-            break;
-        case -1:
-        default:
-            PyErr_SetString(PyExc_ValueError, "Cannot interpret _single attribute as True of False");
-            return NULL;
-    }
-    attribute = PyObject_GetAttrString((PyObject*)self, "_on_timer");
-    if (attribute==NULL)
-    {
-        PyErr_SetString(PyExc_AttributeError, "Timer has no attribute '_on_timer'");
-        return NULL;
+    NSTimeInterval interval;
+    PyObject* py_interval = NULL, * py_single = NULL, * py_on_timer = NULL;
+    int single;
+    if (!(py_interval = PyObject_GetAttrString((PyObject*)self, "_interval"))
+        || ((interval = PyFloat_AsDouble(py_interval) / 1000.), PyErr_Occurred())
+        || !(py_single = PyObject_GetAttrString((PyObject*)self, "_single"))
+        || ((single = PyObject_IsTrue(py_single)) == -1)
+        || !(py_on_timer = PyObject_GetAttrString((PyObject*)self, "_on_timer"))) {
+        goto exit;
     }
-    if (!PyMethod_Check(attribute)) {
+    if (!PyMethod_Check(py_on_timer)) {
         PyErr_SetString(PyExc_RuntimeError, "_on_timer should be a Python method");
-        return NULL;
+        goto exit;
     }
-    context.info = attribute;
-    timer = CFRunLoopTimerCreate(kCFAllocatorDefault,
-                                 0,
-                                 interval,
-                                 0,
-                                 0,
-                                 timer_callback,
-                                 &context);
-    if (!timer) {
-        PyErr_SetString(PyExc_RuntimeError, "Failed to create timer");
+
+    // hold a reference to the timer so we can invalidate/stop it later
+    self->timer = [NSTimer timerWithTimeInterval: interval
+                                         repeats: !single
+                                           block: ^(NSTimer *timer) {
+        gil_call_method((PyObject*)self, "_on_timer");
+        if (single) {
+            // A single-shot timer will be automatically invalidated when it fires, so
+            // we shouldn't do it ourselves when the object is deleted.
+            self->timer = NULL;
+        }
+    }];
+    // Schedule the timer on the main run loop which is needed
+    // when updating the UI from a background thread
+    [[NSRunLoop mainRunLoop] addTimer: self->timer forMode: NSRunLoopCommonModes];
+
+exit:
+    Py_XDECREF(py_interval);
+    Py_XDECREF(py_single);
+    Py_XDECREF(py_on_timer);
+    if (PyErr_Occurred()) {
         return NULL;
+    } else {
+        Py_RETURN_NONE;
     }
-    Py_INCREF(attribute);
+}
+
+static void
+Timer__timer_stop_impl(Timer* self)
+{
     if (self->timer) {
-        CFRunLoopTimerGetContext(self->timer, &context);
-        attribute = context.info;
-        Py_DECREF(attribute);
-        CFRunLoopRemoveTimer(runloop, self->timer, kCFRunLoopCommonModes);
-        CFRelease(self->timer);
+        [self->timer invalidate];
+        self->timer = NULL;
     }
-    CFRunLoopAddTimer(runloop, timer, kCFRunLoopCommonModes);
-    /* Don't release the timer here, since the run loop may be destroyed and
-     * the timer lost before we have a chance to decrease the reference count
-     * of the attribute */
-    self->timer = timer;
-    Py_INCREF(Py_None);
-    return Py_None;
 }
 
 static PyObject*
 Timer__timer_stop(Timer* self)
 {
-    if (self->timer) {
-        PyObject* attribute;
-        CFRunLoopTimerContext context;
-        CFRunLoopTimerGetContext(self->timer, &context);
-        attribute = context.info;
-        Py_DECREF(attribute);
-        CFRunLoopRef runloop = CFRunLoopGetCurrent();
-        if (runloop) {
-            CFRunLoopRemoveTimer(runloop, self->timer, kCFRunLoopCommonModes);
-        }
-        CFRelease(self->timer);
-        self->timer = NULL;
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
+    Timer__timer_stop_impl(self);
+    Py_RETURN_NONE;
 }
 
 static void
 Timer_dealloc(Timer* self)
 {
-    Timer__timer_stop(self);
+    Timer__timer_stop_impl(self);
     Py_TYPE(self)->tp_free((PyObject*)self);
 }
 
-static PyMethodDef Timer_methods[] = {
-    {"_timer_start",
-     (PyCFunction)Timer__timer_start,
-     METH_VARARGS,
-     "Initialize and start the timer."
-    },
-    {"_timer_stop",
-     (PyCFunction)Timer__timer_stop,
-     METH_NOARGS,
-     "Stop the timer."
-    },
-    {NULL}  /* Sentinel */
-};
-
 static PyTypeObject TimerType = {
     PyVarObject_HEAD_INIT(NULL, 0)
-    "_macosx.Timer",           /*tp_name*/
-    sizeof(Timer),             /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)Timer_dealloc,     /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    (reprfunc)Timer_repr,      /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,        /*tp_flags*/
-    Timer_doc,                 /* tp_doc */
-    0,                         /* tp_traverse */
-    0,                         /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    Timer_methods,             /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    0,                         /* tp_init */
-    0,                         /* tp_alloc */
-    Timer_new,                 /* tp_new */
-};
-
-static struct PyMethodDef methods[] = {
-   {"show",
-    (PyCFunction)show,
-    METH_NOARGS,
-    "Show all the figures and enter the main loop.\nThis function does not return until all Matplotlib windows are closed,\nand is normally not needed in interactive sessions."
-   },
-   {"choose_save_file",
-    (PyCFunction)choose_save_file,
-    METH_VARARGS,
-    "Closes the window."
-   },
-   {"set_cursor",
-    (PyCFunction)set_cursor,
-    METH_VARARGS,
-    "Sets the active cursor."
-   },
-   {NULL,          NULL, 0, NULL}/* sentinel */
+    .tp_name = "matplotlib.backends._macosx.Timer",
+    .tp_doc = PyDoc_STR("A Timer object that contains an NSTimer that gets added to "
+                        "the event loop when started."),
+    .tp_basicsize = sizeof(Timer),
+    .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
+
+    .tp_new = (newfunc)Timer_new,
+    .tp_dealloc = (destructor)Timer_dealloc,
+    .tp_repr = (reprfunc)Timer_repr,
+
+    .tp_methods = (PyMethodDef[]){  // All docstrings are inherited.
+        {"_timer_start",
+         (PyCFunction)Timer__timer_start,
+         METH_VARARGS},
+        {"_timer_stop",
+         (PyCFunction)Timer__timer_stop,
+         METH_NOARGS},
+        {}  // sentinel
+    },
 };
 
-#if PY3K
-
 static struct PyModuleDef moduledef = {
-    PyModuleDef_HEAD_INIT,
-    "_macosx",
-    "Mac OS X native backend",
-    -1,
-    methods,
-    NULL,
-    NULL,
-    NULL,
-    NULL
+    .m_base = PyModuleDef_HEAD_INIT,
+    .m_name = "_macosx",
+    .m_doc = PyDoc_STR("Mac OS X native backend"),
+    .m_size = -1,
+    .m_methods = (PyMethodDef[]){
+        {"event_loop_is_running",
+         (PyCFunction)event_loop_is_running,
+         METH_NOARGS,
+         PyDoc_STR(
+            "Return whether the macosx backend has set up the NSApp main event loop.")},
+        {"wake_on_fd_write",
+         (PyCFunction)wake_on_fd_write,
+         METH_VARARGS,
+         PyDoc_STR(
+            "Arrange for Python to invoke its signal handlers when (any) data is\n"
+            "written on the file descriptor given as argument.")},
+        {"stop",
+         (PyCFunction)stop,
+         METH_NOARGS,
+         PyDoc_STR("Stop the NSApp.")},
+        {"show",
+         (PyCFunction)show,
+         METH_NOARGS,
+         PyDoc_STR(
+            "Show all the figures and enter the main loop.\n"
+            "\n"
+            "This function does not return until all Matplotlib windows are closed,\n"
+            "and is normally not needed in interactive sessions.")},
+        {"choose_save_file",
+         (PyCFunction)choose_save_file,
+         METH_VARARGS,
+         PyDoc_STR("Query the user for a location where to save a file.")},
+        {}  /* Sentinel */
+    },
 };
 
-PyObject* PyInit__macosx(void)
+#pragma GCC visibility push(default)
 
-#else
-
-void init_macosx(void)
-#endif
+PyMODINIT_FUNC
+PyInit__macosx(void)
 {
-
-#ifdef WITH_NEXT_FRAMEWORK
-    PyObject *module;
-    import_array();
-
-    if (PyType_Ready(&GraphicsContextType) < 0
-     || PyType_Ready(&FigureCanvasType) < 0
-     || PyType_Ready(&FigureManagerType) < 0
-     || PyType_Ready(&NavigationToolbarType) < 0
-     || PyType_Ready(&NavigationToolbar2Type) < 0
-     || PyType_Ready(&TimerType) < 0)
-#if PY3K
+    PyObject *m;
+    if (!(m = PyModule_Create(&moduledef))
+        || PyModule_AddType(m, &FigureCanvasType)
+        || PyModule_AddType(m, &FigureManagerType)
+        || PyModule_AddType(m, &NavigationToolbar2Type)
+        || PyModule_AddType(m, &TimerType)) {
+        Py_XDECREF(m);
         return NULL;
-#else
-        return;
-#endif
-
-#if PY3K
-    module = PyModule_Create(&moduledef);
-    if (module==NULL) return NULL;
-#else
-    module = Py_InitModule4("_macosx",
-                            methods,
-                            "Mac OS X native backend",
-                            NULL,
-                            PYTHON_API_VERSION);
-#endif
-
-    Py_INCREF(&GraphicsContextType);
-    Py_INCREF(&FigureCanvasType);
-    Py_INCREF(&FigureManagerType);
-    Py_INCREF(&NavigationToolbarType);
-    Py_INCREF(&NavigationToolbar2Type);
-    Py_INCREF(&TimerType);
-    PyModule_AddObject(module, "GraphicsContext", (PyObject*) &GraphicsContextType);
-    PyModule_AddObject(module, "FigureCanvas", (PyObject*) &FigureCanvasType);
-    PyModule_AddObject(module, "FigureManager", (PyObject*) &FigureManagerType);
-    PyModule_AddObject(module, "NavigationToolbar", (PyObject*) &NavigationToolbarType);
-    PyModule_AddObject(module, "NavigationToolbar2", (PyObject*) &NavigationToolbar2Type);
-    PyModule_AddObject(module, "Timer", (PyObject*) &TimerType);
-
-    PyOS_InputHook = wait_for_stdin;
-
-#if PY3K
-    return module;
-#endif
-#else
-    /* WITH_NEXT_FRAMEWORK is not defined. This means that Python is not
-     * installed as a framework, and therefore the Mac OS X backend will
-     * not interact properly with the window manager.
-     */
-    PyErr_SetString(PyExc_RuntimeError,
-        "Python is not installed as a framework. The Mac OS X backend will "
-        "not be able to function correctly if Python is not installed as a "
-        "framework. See the Python documentation for more information on "
-        "installing Python as a framework on Mac OS X. Please either reinstall "
-        "Python as a framework, or try one of the other backends.");
-#if PY3K
-    return NULL;
-#else
-    return;
-#endif
+    }
+#ifdef Py_GIL_DISABLED
+    PyUnstable_Module_SetGIL(m, Py_MOD_GIL_NOT_USED);
 #endif
+    return m;
 }
+
+#pragma GCC visibility pop
diff --git a/src/_path.h b/src/_path.h
index bbb95624e300..c03703776760 100644
--- a/src/_path.h
+++ b/src/_path.h
@@ -1,22 +1,26 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-#ifndef __PATH_H__
-#define __PATH_H__
+#ifndef MPL_PATH_H
+#define MPL_PATH_H
 
 #include <limits>
 #include <math.h>
 #include <vector>
+#include <cmath>
+#include <algorithm>
+#include <string>
 
 #include "agg_conv_contour.h"
 #include "agg_conv_curve.h"
 #include "agg_conv_stroke.h"
 #include "agg_conv_transform.h"
-#include "agg_path_storage.h"
 #include "agg_trans_affine.h"
 
 #include "path_converters.h"
 #include "_backend_agg_basic_types.h"
 
+const size_t NUM_VERTICES[] = { 1, 1, 1, 2, 3 };
+
 struct XY
 {
     double x;
@@ -25,8 +29,40 @@ struct XY
     XY(double x_, double y_) : x(x_), y(y_)
     {
     }
+
+    bool operator==(const XY& o)
+    {
+        return (x == o.x && y == o.y);
+    }
+
+    bool operator!=(const XY& o)
+    {
+        return (x != o.x || y != o.y);
+    }
 };
 
+typedef std::vector<XY> Polygon;
+
+void _finalize_polygon(std::vector<Polygon> &result, int closed_only)
+{
+    if (result.size() == 0) {
+        return;
+    }
+
+    Polygon &polygon = result.back();
+
+    /* Clean up the last polygon in the result.  */
+    if (polygon.size() == 0) {
+        result.pop_back();
+    } else if (closed_only) {
+        if (polygon.size() < 3) {
+            result.pop_back();
+        } else if (polygon.front() != polygon.back()) {
+            polygon.push_back(polygon.front());
+        }
+    }
+}
+
 //
 // The following function was found in the Agg 2.3 examples (interactive_polygon.cpp).
 // It has been generalized to work on (possibly curved) polylines, rather than
@@ -67,7 +103,7 @@ struct XY
 template <class PathIterator, class PointArray, class ResultArray>
 void point_in_path_impl(PointArray &points, PathIterator &path, ResultArray &inside_flag)
 {
-    int yflag1;
+    uint8_t yflag1;
     double vtx0, vty0, vtx1, vty1;
     double tx, ty;
     double sx, sy;
@@ -75,10 +111,10 @@ void point_in_path_impl(PointArray &points, PathIterator &path, ResultArray &ins
     size_t i;
     bool all_done;
 
-    size_t n = points.size();
+    size_t n = safe_first_shape(points);
 
-    std::vector<int> yflag0(n);
-    std::vector<int> subpath_flag(n);
+    std::vector<uint8_t> yflag0(n);
+    std::vector<uint8_t> subpath_flag(n);
 
     path.rewind(0);
 
@@ -100,9 +136,9 @@ void point_in_path_impl(PointArray &points, PathIterator &path, ResultArray &ins
         sy = vty0 = vty1 = y;
 
         for (i = 0; i < n; ++i) {
-            ty = points[i][1];
+            ty = points(i, 1);
 
-            if (MPL_isfinite64(ty)) {
+            if (std::isfinite(ty)) {
                 // get test bit for above/below X axis
                 yflag0[i] = (vty0 >= ty);
 
@@ -123,10 +159,10 @@ void point_in_path_impl(PointArray &points, PathIterator &path, ResultArray &ins
             }
 
             for (i = 0; i < n; ++i) {
-                tx = points[i][0];
-                ty = points[i][1];
+                tx = points(i, 0);
+                ty = points(i, 1);
 
-                if (MPL_notisfinite64(tx) || MPL_notisfinite64(ty)) {
+                if (!(std::isfinite(tx) && std::isfinite(ty))) {
                     continue;
                 }
 
@@ -171,17 +207,17 @@ void point_in_path_impl(PointArray &points, PathIterator &path, ResultArray &ins
 
         all_done = true;
         for (i = 0; i < n; ++i) {
-            tx = points[i][0];
-            ty = points[i][1];
+            tx = points(i, 0);
+            ty = points(i, 1);
 
-            if (MPL_notisfinite64(tx) || MPL_notisfinite64(ty)) {
+            if (!(std::isfinite(tx) && std::isfinite(ty))) {
                 continue;
             }
 
             yflag1 = (vty1 >= ty);
             if (yflag0[i] != yflag1) {
                 if (((vty1 - ty) * (vtx0 - vtx1) >= (vtx1 - tx) * (vty0 - vty1)) == yflag1) {
-                    subpath_flag[i] ^= 1;
+                    subpath_flag[i] = subpath_flag[i] ^ true;
                 }
             }
             inside_flag[i] |= subpath_flag[i];
@@ -208,9 +244,8 @@ inline void points_in_path(PointArray &points,
     typedef agg::conv_curve<no_nans_t> curve_t;
     typedef agg::conv_contour<curve_t> contour_t;
 
-    size_t i;
-    for (i = 0; i < result.size(); ++i) {
-        result[i] = 0;
+    for (auto i = 0; i < safe_first_shape(points); ++i) {
+        result[i] = false;
     }
 
     if (path.total_vertices() < 3) {
@@ -218,73 +253,60 @@ inline void points_in_path(PointArray &points,
     }
 
     transformed_path_t trans_path(path, trans);
-    no_nans_t no_nans_path(trans_path, true, path.has_curves());
+    no_nans_t no_nans_path(trans_path, true, path.has_codes());
     curve_t curved_path(no_nans_path);
-    contour_t contoured_path(curved_path);
-    contoured_path.width(r);
-
-    point_in_path_impl(points, contoured_path, result);
+    if (r != 0.0) {
+        contour_t contoured_path(curved_path);
+        contoured_path.width(r);
+        point_in_path_impl(points, contoured_path, result);
+    } else {
+        point_in_path_impl(points, curved_path, result);
+    }
 }
 
 template <class PathIterator>
 inline bool point_in_path(
     double x, double y, const double r, PathIterator &path, agg::trans_affine &trans)
 {
-    std::vector<double> point;
-    std::vector<std::vector<double> > points;
-    point.push_back(x);
-    point.push_back(y);
-    points.push_back(point);
+    py::ssize_t shape[] = {1, 2};
+    py::array_t<double> points_arr(shape);
+    *points_arr.mutable_data(0, 0) = x;
+    *points_arr.mutable_data(0, 1) = y;
+    auto points = points_arr.mutable_unchecked<2>();
 
-    std::vector<uint8_t> result(1);
+    int result[1];
     result[0] = 0;
 
     points_in_path(points, r, path, trans, result);
 
-    return (bool)result[0];
+    return result[0] != 0;
 }
 
-template <class PathIterator, class PointArray, class ResultArray>
-void points_on_path(PointArray &points,
-                    const double r,
-                    PathIterator &path,
-                    agg::trans_affine &trans,
-                    ResultArray result)
+template <class PathIterator>
+inline bool point_on_path(
+    double x, double y, const double r, PathIterator &path, agg::trans_affine &trans)
 {
     typedef agg::conv_transform<PathIterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> no_nans_t;
     typedef agg::conv_curve<no_nans_t> curve_t;
     typedef agg::conv_stroke<curve_t> stroke_t;
 
-    size_t i;
-    for (i = 0; i < result.size(); ++i) {
-        result[i] = 0;
-    }
+    py::ssize_t shape[] = {1, 2};
+    py::array_t<double> points_arr(shape);
+    *points_arr.mutable_data(0, 0) = x;
+    *points_arr.mutable_data(0, 1) = y;
+    auto points = points_arr.mutable_unchecked<2>();
+
+    int result[1];
+    result[0] = 0;
 
     transformed_path_t trans_path(path, trans);
-    no_nans_t nan_removed_path(trans_path, true, path.has_curves());
+    no_nans_t nan_removed_path(trans_path, true, path.has_codes());
     curve_t curved_path(nan_removed_path);
     stroke_t stroked_path(curved_path);
     stroked_path.width(r * 2.0);
     point_in_path_impl(points, stroked_path, result);
-}
-
-template <class PathIterator>
-inline bool point_on_path(
-    double x, double y, const double r, PathIterator &path, agg::trans_affine &trans)
-{
-    std::vector<double> point;
-    std::vector<std::vector<double> > points;
-    point.push_back(x);
-    point.push_back(y);
-    points.push_back(point);
-
-    std::vector<uint8_t> result(1);
-    result[0] = 0;
-
-    points_on_path(points, r, path, trans, result);
-
-    return (bool)result[0];
+    return result[0] != 0;
 }
 
 struct extent_limits
@@ -336,7 +358,7 @@ void update_path_extents(PathIterator &path, agg::trans_affine &trans, extent_li
     unsigned code;
 
     transformed_path_t tpath(path, trans);
-    nan_removed_t nan_removed(tpath, true, path.has_curves());
+    nan_removed_t nan_removed(tpath, true, path.has_codes());
 
     nan_removed.rewind(0);
 
@@ -356,30 +378,29 @@ void get_path_collection_extents(agg::trans_affine &master_transform,
                                  agg::trans_affine &offset_trans,
                                  extent_limits &extent)
 {
-    if (offsets.dim(0) != 0 && offsets.dim(1) != 2) {
-        throw "Offsets array must be Nx2";
+    if (offsets.size() != 0 && offsets.shape(1) != 2) {
+        throw std::runtime_error("Offsets array must have shape (N, 2)");
     }
 
-    size_t Npaths = paths.size();
-    size_t Noffsets = offsets.size();
-    size_t N = std::max(Npaths, Noffsets);
-    size_t Ntransforms = std::min(transforms.size(), N);
-    size_t i;
+    auto Npaths = paths.size();
+    auto Noffsets = safe_first_shape(offsets);
+    auto N = std::max(Npaths, Noffsets);
+    auto Ntransforms = std::min(safe_first_shape(transforms), N);
 
     agg::trans_affine trans;
 
     reset_limits(extent);
 
-    for (i = 0; i < N; ++i) {
+    for (auto i = 0; i < N; ++i) {
         typename PathGenerator::path_iterator path(paths(i % Npaths));
         if (Ntransforms) {
-            typename TransformArray::sub_t subtrans = transforms[i % Ntransforms];
-            trans = agg::trans_affine(subtrans(0, 0),
-                                      subtrans(1, 0),
-                                      subtrans(0, 1),
-                                      subtrans(1, 1),
-                                      subtrans(0, 2),
-                                      subtrans(1, 2));
+            py::ssize_t ti = i % Ntransforms;
+            trans = agg::trans_affine(transforms(ti, 0, 0),
+                                      transforms(ti, 1, 0),
+                                      transforms(ti, 0, 1),
+                                      transforms(ti, 1, 1),
+                                      transforms(ti, 0, 2),
+                                      transforms(ti, 1, 2));
         } else {
             trans = master_transform;
         }
@@ -405,33 +426,32 @@ void point_in_path_collection(double x,
                               OffsetArray &offsets,
                               agg::trans_affine &offset_trans,
                               bool filled,
-                              e_offset_position offset_position,
-                              std::vector<size_t> &result)
+                              std::vector<int> &result)
 {
-    size_t Npaths = paths.size();
+    auto Npaths = paths.size();
 
     if (Npaths == 0) {
         return;
     }
 
-    size_t Noffsets = offsets.dim(0);
-    size_t N = std::max(Npaths, Noffsets);
-    size_t Ntransforms = std::min(transforms.size(), N);
-    size_t i;
+    auto Noffsets = safe_first_shape(offsets);
+    auto N = std::max(Npaths, Noffsets);
+    auto Ntransforms = std::min(safe_first_shape(transforms), N);
 
     agg::trans_affine trans;
 
-    for (i = 0; i < N; ++i) {
+    for (auto i = 0; i < N; ++i) {
         typename PathGenerator::path_iterator path = paths(i % Npaths);
 
         if (Ntransforms) {
-            typename TransformArray::sub_t subtrans = transforms[i % Ntransforms];
-            trans = agg::trans_affine(subtrans(0, 0),
-                                      subtrans(1, 0),
-                                      subtrans(0, 1),
-                                      subtrans(1, 1),
-                                      subtrans(0, 2),
-                                      subtrans(1, 2));
+            auto ti = i % Ntransforms;
+            trans = agg::trans_affine(transforms(ti, 0, 0),
+                                      transforms(ti, 1, 0),
+                                      transforms(ti, 0, 1),
+                                      transforms(ti, 1, 1),
+                                      transforms(ti, 0, 2),
+                                      transforms(ti, 1, 2));
+            trans *= master_transform;
         } else {
             trans = master_transform;
         }
@@ -440,11 +460,7 @@ void point_in_path_collection(double x,
             double xo = offsets(i % Noffsets, 0);
             double yo = offsets(i % Noffsets, 1);
             offset_trans.transform(&xo, &yo);
-            if (offset_position == OFFSET_POSITION_DATA) {
-                trans = agg::trans_affine_translation(xo, yo) * trans;
-            } else {
-                trans *= agg::trans_affine_translation(xo, yo);
-            }
+            trans *= agg::trans_affine_translation(xo, yo);
         }
 
         if (filled) {
@@ -474,7 +490,7 @@ bool path_in_path(PathIterator1 &a,
     }
 
     transformed_path_t b_path_trans(b, btrans);
-    no_nans_t b_no_nans(b_path_trans, true, b.has_curves());
+    no_nans_t b_no_nans(b_path_trans, true, b.has_codes());
     curve_t b_curved(b_no_nans);
 
     double x, y;
@@ -491,11 +507,9 @@ bool path_in_path(PathIterator1 &a,
 /** The clip_path_to_rect code here is a clean-room implementation of
     the Sutherland-Hodgman clipping algorithm described here:
 
-  http://en.wikipedia.org/wiki/Sutherland-Hodgman_clipping_algorithm
+  https://en.wikipedia.org/wiki/Sutherland-Hodgman_clipping_algorithm
 */
 
-typedef std::vector<XY> Polygon;
-
 namespace clip_to_rect_filters
 {
 /* There are four different passes needed to create/remove
@@ -588,7 +602,6 @@ struct ygt : public bisecty
 template <class Filter>
 inline void clip_to_rect_one_step(const Polygon &polygon, Polygon &result, const Filter &filter)
 {
-    double sx, sy, px, py, bx, by;
     bool sinside, pinside;
     result.clear();
 
@@ -596,22 +609,19 @@ inline void clip_to_rect_one_step(const Polygon &polygon, Polygon &result, const
         return;
     }
 
-    sx = polygon.back().x;
-    sy = polygon.back().y;
-    for (Polygon::const_iterator i = polygon.begin(); i != polygon.end(); ++i) {
-        px = i->x;
-        py = i->y;
-
+    auto [sx, sy] = polygon.back();
+    for (auto [px, py] : polygon) {
         sinside = filter.is_inside(sx, sy);
         pinside = filter.is_inside(px, py);
 
         if (sinside ^ pinside) {
+            double bx, by;
             filter.bisect(sx, sy, px, py, &bx, &by);
-            result.push_back(XY(bx, by));
+            result.emplace_back(bx, by);
         }
 
         if (pinside) {
-            result.push_back(XY(px, py));
+            result.emplace_back(px, py);
         }
 
         sx = px;
@@ -658,7 +668,7 @@ clip_path_to_rect(PathIterator &path, agg::rect_d &rect, bool inside, std::vecto
         polygon1.clear();
         do {
             if (code == agg::path_cmd_move_to) {
-                polygon1.push_back(XY(x, y));
+                polygon1.emplace_back(x, y);
             }
 
             code = curve.vertex(&x, &y);
@@ -668,7 +678,7 @@ clip_path_to_rect(PathIterator &path, agg::rect_d &rect, bool inside, std::vecto
             }
 
             if (code != agg::path_cmd_move_to) {
-                polygon1.push_back(XY(x, y));
+                polygon1.emplace_back(x, y);
             }
         } while ((code & agg::path_cmd_end_poly) != agg::path_cmd_end_poly);
 
@@ -681,19 +691,22 @@ clip_path_to_rect(PathIterator &path, agg::rect_d &rect, bool inside, std::vecto
 
         // Empty polygons aren't very useful, so skip them
         if (polygon1.size()) {
+            _finalize_polygon(results, 1);
             results.push_back(polygon1);
         }
     } while (code != agg::path_cmd_stop);
+
+    _finalize_polygon(results, 1);
 }
 
 template <class VerticesArray, class ResultArray>
-void affine_transform(VerticesArray &vertices, agg::trans_affine &trans, ResultArray &result)
+void affine_transform_2d(VerticesArray &vertices, agg::trans_affine &trans, ResultArray &result)
 {
-    if (vertices.dim(0) != 0 && vertices.dim(1) != 2) {
-        throw "Invalid vertices array.";
+    if (vertices.size() != 0 && vertices.shape(1) != 2) {
+        throw std::runtime_error("Invalid vertices array.");
     }
 
-    size_t n = vertices.dim(0);
+    size_t n = vertices.shape(0);
     double x;
     double y;
     double t0;
@@ -716,6 +729,33 @@ void affine_transform(VerticesArray &vertices, agg::trans_affine &trans, ResultA
     }
 }
 
+template <class VerticesArray, class ResultArray>
+void affine_transform_1d(VerticesArray &vertices, agg::trans_affine &trans, ResultArray &result)
+{
+    if (vertices.shape(0) != 2) {
+        throw std::runtime_error("Invalid vertices array.");
+    }
+
+    double x;
+    double y;
+    double t0;
+    double t1;
+    double t;
+
+    x = vertices(0);
+    y = vertices(1);
+
+    t0 = trans.sx * x;
+    t1 = trans.shx * y;
+    t = t0 + t1 + trans.tx;
+    result(0) = t;
+
+    t0 = trans.shy * x;
+    t1 = trans.sy * y;
+    t = t0 + t1 + trans.ty;
+    result(1) = t;
+}
+
 template <class BBoxArray>
 int count_bboxes_overlapping_bbox(agg::rect_d &a, BBoxArray &bboxes)
 {
@@ -729,10 +769,9 @@ int count_bboxes_overlapping_bbox(agg::rect_d &a, BBoxArray &bboxes)
         std::swap(a.y1, a.y2);
     }
 
-    size_t num_bboxes = bboxes.size();
+    size_t num_bboxes = safe_first_shape(bboxes);
     for (size_t i = 0; i < num_bboxes; ++i) {
-        typename BBoxArray::sub_t bbox_b = bboxes[i];
-        b = agg::rect_d(bbox_b(0, 0), bbox_b(0, 1), bbox_b(1, 0), bbox_b(1, 1));
+        b = agg::rect_d(bboxes(i, 0, 0), bboxes(i, 0, 1), bboxes(i, 1, 0), bboxes(i, 1, 1));
 
         if (b.x2 < b.x1) {
             std::swap(b.x1, b.x2);
@@ -748,6 +787,19 @@ int count_bboxes_overlapping_bbox(agg::rect_d &a, BBoxArray &bboxes)
     return count;
 }
 
+
+inline bool isclose(double a, double b)
+{
+    // relative and absolute tolerance values are chosen empirically
+    // it looks the atol value matters here because of round-off errors
+    const double rtol = 1e-10;
+    const double atol = 1e-13;
+
+    // as per python's math.isclose
+    return fabs(a-b) <= fmax(rtol * fmax(fabs(a), fabs(b)), atol);
+}
+
+
 inline bool segments_intersect(const double &x1,
                                const double &y1,
                                const double &x2,
@@ -757,32 +809,55 @@ inline bool segments_intersect(const double &x1,
                                const double &x4,
                                const double &y4)
 {
+    // determinant
     double den = ((y4 - y3) * (x2 - x1)) - ((x4 - x3) * (y2 - y1));
-    if (den == 0.0) {
-        return false;
+
+    // If den == 0 we have two possibilities:
+    if (isclose(den, 0.0)) {
+        double t_area = (x2*y3 - x3*y2) - x1*(y3 - y2) + y1*(x3 - x2);
+        // 1 - If the area of the triangle made by the 3 first points (2 from the first segment
+        // plus one from the second) is zero, they are collinear
+        if (isclose(t_area, 0.0)) {
+            if (x1 == x2 && x2 == x3) { // segments have infinite slope (vertical lines)
+                                        // and lie on the same line
+                return (fmin(y1, y2) <= fmin(y3, y4) && fmin(y3, y4) <= fmax(y1, y2)) ||
+                    (fmin(y3, y4) <= fmin(y1, y2) && fmin(y1, y2) <= fmax(y3, y4));
+            }
+            else {
+                return (fmin(x1, x2) <= fmin(x3, x4) && fmin(x3, x4) <= fmax(x1, x2)) ||
+                        (fmin(x3, x4) <= fmin(x1, x2) && fmin(x1, x2) <= fmax(x3, x4));
+            }
+        }
+        // 2 - If t_area is not zero, the segments are parallel, but not collinear
+        else {
+            return false;
+        }
     }
 
-    double n1 = ((x4 - x3) * (y1 - y3)) - ((y4 - y3) * (x1 - x3));
-    double n2 = ((x2 - x1) * (y1 - y3)) - ((y2 - y1) * (x1 - x3));
+    const double n1 = ((x4 - x3) * (y1 - y3)) - ((y4 - y3) * (x1 - x3));
+    const double n2 = ((x2 - x1) * (y1 - y3)) - ((y2 - y1) * (x1 - x3));
 
-    double u1 = n1 / den;
-    double u2 = n2 / den;
+    const double u1 = n1 / den;
+    const double u2 = n2 / den;
 
-    return (u1 >= 0.0 && u1 <= 1.0 && u2 >= 0.0 && u2 <= 1.0);
+    return ((u1 > 0.0 || isclose(u1, 0.0)) &&
+            (u1 < 1.0 || isclose(u1, 1.0)) &&
+            (u2 > 0.0 || isclose(u2, 0.0)) &&
+            (u2 < 1.0 || isclose(u2, 1.0)));
 }
 
 template <class PathIterator1, class PathIterator2>
 bool path_intersects_path(PathIterator1 &p1, PathIterator2 &p2)
 {
-    typedef PathNanRemover<py::PathIterator> no_nans_t;
+    typedef PathNanRemover<mpl::PathIterator> no_nans_t;
     typedef agg::conv_curve<no_nans_t> curve_t;
 
     if (p1.total_vertices() < 2 || p2.total_vertices() < 2) {
         return false;
     }
 
-    no_nans_t n1(p1, true, p1.has_curves());
-    no_nans_t n2(p2, true, p2.has_curves());
+    no_nans_t n1(p1, true, p1.has_codes());
+    no_nans_t n2(p2, true, p2.has_codes());
 
     curve_t c1(n1);
     curve_t c2(n2);
@@ -792,9 +867,19 @@ bool path_intersects_path(PathIterator1 &p1, PathIterator2 &p2)
 
     c1.vertex(&x11, &y11);
     while (c1.vertex(&x12, &y12) != agg::path_cmd_stop) {
+        // if the segment in path 1 is (almost) 0 length, skip to next vertex
+        if ((isclose((x11 - x12) * (x11 - x12) + (y11 - y12) * (y11 - y12), 0))){
+            continue;
+        }
         c2.rewind(0);
         c2.vertex(&x21, &y21);
+
         while (c2.vertex(&x22, &y22) != agg::path_cmd_stop) {
+            // if the segment in path 2 is (almost) 0 length, skip to next vertex
+            if ((isclose((x21 - x22) * (x21 - x22) + (y21 - y22) * (y21 - y22), 0))){
+                continue;
+            }
+
             if (segments_intersect(x11, y11, x12, y12, x21, y21, x22, y22)) {
                 return true;
             }
@@ -808,14 +893,73 @@ bool path_intersects_path(PathIterator1 &p1, PathIterator2 &p2)
     return false;
 }
 
+// returns whether the segment from (x1,y1) to (x2,y2)
+// intersects the rectangle centered at (cx,cy) with size (w,h)
+// see doc/segment_intersects_rectangle.svg for a more detailed explanation
+inline bool segment_intersects_rectangle(double x1, double y1,
+                                         double x2, double y2,
+                                         double cx, double cy,
+                                         double w, double h)
+{
+    return fabs(x1 + x2 - 2.0 * cx) < fabs(x1 - x2) + w &&
+           fabs(y1 + y2 - 2.0 * cy) < fabs(y1 - y2) + h &&
+           2.0 * fabs((x1 - cx) * (y1 - y2) - (y1 - cy) * (x1 - x2)) <
+               w * fabs(y1 - y2) + h * fabs(x1 - x2);
+}
+
+template <class PathIterator>
+bool path_intersects_rectangle(PathIterator &path,
+                               double rect_x1, double rect_y1,
+                               double rect_x2, double rect_y2,
+                               bool filled)
+{
+    typedef PathNanRemover<mpl::PathIterator> no_nans_t;
+    typedef agg::conv_curve<no_nans_t> curve_t;
+
+    if (path.total_vertices() == 0) {
+        return false;
+    }
+
+    no_nans_t no_nans(path, true, path.has_codes());
+    curve_t curve(no_nans);
+
+    double cx = (rect_x1 + rect_x2) * 0.5, cy = (rect_y1 + rect_y2) * 0.5;
+    double w = fabs(rect_x1 - rect_x2), h = fabs(rect_y1 - rect_y2);
+
+    double x1, y1, x2, y2;
+
+    curve.vertex(&x1, &y1);
+    if (2.0 * fabs(x1 - cx) <= w && 2.0 * fabs(y1 - cy) <= h) {
+        return true;
+    }
+
+    while (curve.vertex(&x2, &y2) != agg::path_cmd_stop) {
+        if (segment_intersects_rectangle(x1, y1, x2, y2, cx, cy, w, h)) {
+            return true;
+        }
+        x1 = x2;
+        y1 = y2;
+    }
+
+    if (filled) {
+        agg::trans_affine trans;
+        if (point_in_path(cx, cy, 0.0, path, trans)) {
+            return true;
+        }
+    }
+
+    return false;
+}
+
 template <class PathIterator>
 void convert_path_to_polygons(PathIterator &path,
                               agg::trans_affine &trans,
                               double width,
                               double height,
+                              int closed_only,
                               std::vector<Polygon> &result)
 {
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> nan_removal_t;
     typedef PathClipper<nan_removal_t> clipped_t;
     typedef PathSimplifier<clipped_t> simplify_t;
@@ -825,41 +969,34 @@ void convert_path_to_polygons(PathIterator &path,
     bool simplify = path.should_simplify();
 
     transformed_path_t tpath(path, trans);
-    nan_removal_t nan_removed(tpath, true, path.has_curves());
+    nan_removal_t nan_removed(tpath, true, path.has_codes());
     clipped_t clipped(nan_removed, do_clip, width, height);
     simplify_t simplified(clipped, simplify, path.simplify_threshold());
     curve_t curve(simplified);
 
-    result.push_back(Polygon());
-    Polygon *polygon = &result.back();
+    Polygon *polygon = &result.emplace_back();
     double x, y;
     unsigned code;
 
     while ((code = curve.vertex(&x, &y)) != agg::path_cmd_stop) {
         if ((code & agg::path_cmd_end_poly) == agg::path_cmd_end_poly) {
-            if (polygon->size() >= 1) {
-                polygon->push_back((*polygon)[0]);
-                result.push_back(Polygon());
-                polygon = &result.back();
-            }
+            _finalize_polygon(result, 1);
+            polygon = &result.emplace_back();
         } else {
-            if (code == agg::path_cmd_move_to && polygon->size() >= 1) {
-                polygon->push_back((*polygon)[0]);
-                result.push_back(Polygon());
-                polygon = &result.back();
+            if (code == agg::path_cmd_move_to) {
+                _finalize_polygon(result, closed_only);
+                polygon = &result.emplace_back();
             }
-            polygon->push_back(XY(x, y));
+            polygon->emplace_back(x, y);
         }
     }
 
-    if (polygon->size() == 0) {
-        result.pop_back();
-    }
+    _finalize_polygon(result, closed_only);
 }
 
 template <class VertexSource>
 void
-__cleanup_path(VertexSource &source, std::vector<double> &vertices, std::vector<npy_uint8> &codes)
+__cleanup_path(VertexSource &source, std::vector<double> &vertices, std::vector<uint8_t> &codes)
 {
     unsigned code;
     double x, y;
@@ -867,7 +1004,7 @@ __cleanup_path(VertexSource &source, std::vector<double> &vertices, std::vector<
         code = source.vertex(&x, &y);
         vertices.push_back(x);
         vertices.push_back(y);
-        codes.push_back((npy_uint8)code);
+        codes.push_back(static_cast<uint8_t>(code));
     } while (code != agg::path_cmd_stop);
 }
 
@@ -885,7 +1022,7 @@ void cleanup_path(PathIterator &path,
                   std::vector<double> &vertices,
                   std::vector<unsigned char> &codes)
 {
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> nan_removal_t;
     typedef PathClipper<nan_removal_t> clipped_t;
     typedef PathSnapper<clipped_t> snapped_t;
@@ -894,7 +1031,7 @@ void cleanup_path(PathIterator &path,
     typedef Sketch<curve_t> sketch_t;
 
     transformed_path_t tpath(path, trans);
-    nan_removal_t nan_removed(tpath, remove_nans, path.has_curves());
+    nan_removal_t nan_removed(tpath, remove_nans, path.has_codes());
     clipped_t clipped(nan_removed, do_clip, rect);
     snapped_t snapped(clipped, snap_mode, path.total_vertices(), stroke_width);
     simplify_t simplified(snapped, do_simplify, path.simplify_threshold());
@@ -911,79 +1048,194 @@ void cleanup_path(PathIterator &path,
     }
 }
 
+void quad2cubic(double x0, double y0,
+                double x1, double y1,
+                double x2, double y2,
+                double *outx, double *outy)
+{
+
+    outx[0] = x0 + 2./3. * (x1 - x0);
+    outy[0] = y0 + 2./3. * (y1 - y0);
+    outx[1] = outx[0] + 1./3. * (x2 - x0);
+    outy[1] = outy[0] + 1./3. * (y2 - y0);
+    outx[2] = x2;
+    outy[2] = y2;
+}
+
+
+void __add_number(double val, char format_code, int precision,
+                  std::string& buffer)
+{
+    if (precision == -1) {
+        // Special-case for compat with old ttconv code, which *truncated*
+        // values with a cast to int instead of rounding them as printf
+        // would do.  The only point where non-integer values arise is from
+        // quad2cubic conversion (as we already perform a first truncation
+        // on Python's side), which can introduce additional floating point
+        // error (by adding 2/3 delta-x and then 1/3 delta-x), so compensate by
+        // first rounding to the closest 1/3 and then truncating.
+        char str[255];
+        PyOS_snprintf(str, 255, "%d", (int)(round(val * 3)) / 3);
+        buffer += str;
+    } else {
+        char *str = PyOS_double_to_string(
+          val, format_code, precision, Py_DTSF_ADD_DOT_0, nullptr);
+        // Delete trailing zeros and decimal point
+        char *c = str + strlen(str) - 1;  // Start at last character.
+        // Rewind through all the zeros and, if present, the trailing decimal
+        // point.  Py_DTSF_ADD_DOT_0 ensures we won't go past the start of str.
+        while (*c == '0') {
+            --c;
+        }
+        if (*c == '.') {
+            --c;
+        }
+        try {
+            buffer.append(str, c + 1);
+        } catch (std::bad_alloc& e) {
+            PyMem_Free(str);
+            throw e;
+        }
+        PyMem_Free(str);
+    }
+}
+
+
 template <class PathIterator>
-void convert_to_svg(PathIterator &path,
-                    agg::trans_affine &trans,
-                    agg::rect_d &clip_rect,
-                    bool simplify,
-                    int precision,
-                    char *buffer,
-                    size_t *buffersize)
-{
-#if PY_VERSION_HEX < 0x02070000
-    char format[64];
-    snprintf(format, 64, "%s.%dg", "%", precision);
-#endif
+bool __convert_to_string(PathIterator &path,
+                         int precision,
+                         char **codes,
+                         bool postfix,
+                         std::string& buffer)
+{
+    const char format_code = 'f';
+
+    double x[3];
+    double y[3];
+    double last_x = 0.0;
+    double last_y = 0.0;
 
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
+    unsigned code;
+
+    while ((code = path.vertex(&x[0], &y[0])) != agg::path_cmd_stop) {
+        if (code == CLOSEPOLY) {
+            buffer += codes[4];
+        } else if (code < 5) {
+            size_t size = NUM_VERTICES[code];
+
+            for (size_t i = 1; i < size; ++i) {
+                unsigned subcode = path.vertex(&x[i], &y[i]);
+                if (subcode != code) {
+                    return false;
+                }
+            }
+
+            /* For formats that don't support quad curves, convert to
+               cubic curves */
+            if (code == CURVE3 && codes[code - 1][0] == '\0') {
+                quad2cubic(last_x, last_y, x[0], y[0], x[1], y[1], x, y);
+                code++;
+                size = 3;
+            }
+
+            if (!postfix) {
+                buffer += codes[code - 1];
+                buffer += ' ';
+            }
+
+            for (size_t i = 0; i < size; ++i) {
+                __add_number(x[i], format_code, precision, buffer);
+                buffer += ' ';
+                __add_number(y[i], format_code, precision, buffer);
+                buffer += ' ';
+            }
+
+            if (postfix) {
+                buffer += codes[code - 1];
+            }
+
+            last_x = x[size - 1];
+            last_y = y[size - 1];
+        } else {
+            // Unknown code value
+            return false;
+        }
+
+        buffer += '\n';
+    }
+
+    return true;
+}
+
+template <class PathIterator>
+bool convert_to_string(PathIterator &path,
+                       agg::trans_affine &trans,
+                       agg::rect_d &clip_rect,
+                       bool simplify,
+                       SketchParams sketch_params,
+                       int precision,
+                       char **codes,
+                       bool postfix,
+                       std::string& buffer)
+{
+    size_t buffersize;
+    typedef agg::conv_transform<mpl::PathIterator> transformed_path_t;
     typedef PathNanRemover<transformed_path_t> nan_removal_t;
     typedef PathClipper<nan_removal_t> clipped_t;
     typedef PathSimplifier<clipped_t> simplify_t;
+    typedef agg::conv_curve<simplify_t> curve_t;
+    typedef Sketch<curve_t> sketch_t;
 
     bool do_clip = (clip_rect.x1 < clip_rect.x2 && clip_rect.y1 < clip_rect.y2);
 
     transformed_path_t tpath(path, trans);
-    nan_removal_t nan_removed(tpath, true, path.has_curves());
+    nan_removal_t nan_removed(tpath, true, path.has_codes());
     clipped_t clipped(nan_removed, do_clip, clip_rect);
     simplify_t simplified(clipped, simplify, path.simplify_threshold());
 
-    char *p = buffer;
+    buffersize = (size_t) path.total_vertices() * (precision + 5) * 4;
+    if (buffersize == 0) {
+        return true;
+    }
 
-    const char codes[] = { 'M', 'L', 'Q', 'C' };
-    const int waits[] = { 1, 1, 2, 3 };
+    if (sketch_params.scale != 0.0) {
+        buffersize *= 10;
+    }
 
-    int wait = 0;
-    unsigned code;
-    double x = 0, y = 0;
-    while ((code = simplified.vertex(&x, &y)) != agg::path_cmd_stop) {
-        if (wait == 0) {
-            *p++ = '\n';
+    buffer.reserve(buffersize);
 
-            if (code == 0x4f) {
-                *p++ = 'z';
-                *p++ = '\n';
-                continue;
-            }
-
-            *p++ = codes[code - 1];
-            wait = waits[code - 1];
-        } else {
-            *p++ = ' ';
-        }
+    if (sketch_params.scale == 0.0) {
+        return __convert_to_string(simplified, precision, codes, postfix, buffer);
+    } else {
+        curve_t curve(simplified);
+        sketch_t sketch(curve, sketch_params.scale, sketch_params.length, sketch_params.randomness);
+        return __convert_to_string(sketch, precision, codes, postfix, buffer);
+    }
 
-#if PY_VERSION_HEX >= 0x02070000
-        char *str;
-        str = PyOS_double_to_string(x, 'g', precision, 0, NULL);
-        p += snprintf(p, *buffersize - (p - buffer), "%s", str);
-        PyMem_Free(str);
-        *p++ = ' ';
-        str = PyOS_double_to_string(y, 'g', precision, 0, NULL);
-        p += snprintf(p, *buffersize - (p - buffer), "%s", str);
-        PyMem_Free(str);
-#else
-        char str[64];
-        PyOS_ascii_formatd(str, 64, format, x);
-        p += snprintf(p, *buffersize - (p - buffer), "%s", str);
-        *p++ = ' ';
-        PyOS_ascii_formatd(str, 64, format, y);
-        p += snprintf(p, *buffersize - (p - buffer), "%s", str);
-#endif
+}
 
-        --wait;
+template<class T>
+bool is_sorted_and_has_non_nan(py::array_t<T> array)
+{
+    auto size = array.shape(0);
+    using limits = std::numeric_limits<T>;
+    T last = limits::has_infinity ? -limits::infinity() : limits::min();
+    bool found_non_nan = false;
+
+    for (auto i = 0; i < size; ++i) {
+        T current = *array.data(i);
+        // The following tests !isnan(current), but also works for integral
+        // types.  (The isnan(IntegralType) overload is absent on MSVC.)
+        if (current == current) {
+            found_non_nan = true;
+            if (current < last) {
+                return false;
+            }
+            last = current;
+        }
     }
+    return found_non_nan;
+};
 
-    *p = '\0';
-    *buffersize = p - buffer;
-}
 
 #endif
diff --git a/src/_path_wrapper.cpp b/src/_path_wrapper.cpp
index 5c508b4e335f..2a297e49ac92 100644
--- a/src/_path_wrapper.cpp
+++ b/src/_path_wrapper.cpp
@@ -1,714 +1,351 @@
-#include "numpy_cpp.h"
+#include <pybind11/pybind11.h>
+#include <pybind11/stl.h>
+
+#include <array>
+#include <limits>
+#include <optional>
+#include <string>
+#include <vector>
 
 #include "_path.h"
 
-#include "py_converters.h"
+#include "_backend_agg_basic_types.h"
 #include "py_adaptors.h"
+#include "py_converters.h"
 
-PyObject *convert_polygon_vector(std::vector<Polygon> &polygons)
-{
-    PyObject *pyresult = PyList_New(polygons.size());
-
-    for (size_t i = 0; i < polygons.size(); ++i) {
-        Polygon poly = polygons[i];
-        npy_intp dims[] = {(npy_intp)poly.size() + 1, 2 };
-        numpy::array_view<double, 2> subresult(dims);
-
-        /* Make last point same as first. */
-        memcpy(subresult.data(), &poly[0], sizeof(double) * poly.size() * 2);
-        subresult(poly.size(), 0) = poly[0].x;
-        subresult(poly.size(), 1) = poly[0].y;
-
-        if (PyList_SetItem(pyresult, i, subresult.pyobj())) {
-            Py_DECREF(pyresult);
-            return NULL;
-        }
-    }
-
-    return pyresult;
-}
-
-const char *Py_point_in_path__doc__ = "point_in_path(x, y, radius, path, trans)";
-
-static PyObject *Py_point_in_path(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    double x, y, r;
-    py::PathIterator path;
-    agg::trans_affine trans;
-    bool result;
-
-    if (!PyArg_ParseTuple(args,
-                          "dddO&O&:point_in_path",
-                          &x,
-                          &y,
-                          &r,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
-    }
-
-    CALL_CPP("point_in_path", (result = point_in_path(x, y, r, path, trans)));
-
-    if (result) {
-        Py_RETURN_TRUE;
-    } else {
-        Py_RETURN_FALSE;
-    }
-}
-
-const char *Py_points_in_path__doc__ = "points_in_path(points, radius, path, trans)";
-
-static PyObject *Py_points_in_path(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<const double, 2> points;
-    double r;
-    py::PathIterator path;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&dO&O&:points_in_path",
-                          &points.converter,
-                          &points,
-                          &r,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
-    }
-
-    npy_intp dims[] = { points.dim(0) };
-    numpy::array_view<uint8_t, 1> results(dims);
-
-    CALL_CPP("points_in_path", (points_in_path(points, r, path, trans, results)));
-
-    return results.pyobj();
-}
-
-const char *Py_point_on_path__doc__ = "point_on_path(x, y, radius, path, trans)";
+namespace py = pybind11;
+using namespace pybind11::literals;
 
-static PyObject *Py_point_on_path(PyObject *self, PyObject *args, PyObject *kwds)
+py::list
+convert_polygon_vector(std::vector<Polygon> &polygons)
 {
-    double x, y, r;
-    py::PathIterator path;
-    agg::trans_affine trans;
-    bool result;
+    auto result = py::list(polygons.size());
 
-    if (!PyArg_ParseTuple(args,
-                          "dddO&O&:point_on_path",
-                          &x,
-                          &y,
-                          &r,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
+    for (size_t i = 0; i < polygons.size(); ++i) {
+        const auto& poly = polygons[i];
+        py::ssize_t dims[] = { static_cast<py::ssize_t>(poly.size()), 2 };
+        result[i] = py::array(dims, reinterpret_cast<const double *>(poly.data()));
     }
 
-    CALL_CPP("point_on_path", (result = point_on_path(x, y, r, path, trans)));
-
-    if (result) {
-        Py_RETURN_TRUE;
-    } else {
-        Py_RETURN_FALSE;
-    }
+    return result;
 }
 
-const char *Py_points_on_path__doc__ = "points_on_path(points, radius, path, trans)";
-
-static PyObject *Py_points_on_path(PyObject *self, PyObject *args, PyObject *kwds)
+static bool
+Py_point_in_path(double x, double y, double r, mpl::PathIterator path,
+                 agg::trans_affine trans)
 {
-    numpy::array_view<const double, 2> points;
-    double r;
-    py::PathIterator path;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&dO&O&:points_on_path",
-                          &points.converter,
-                          &points,
-                          &r,
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
-    }
-
-    npy_intp dims[] = { points.dim(0) };
-    numpy::array_view<uint8_t, 1> results(dims);
-
-    CALL_CPP("points_on_path", (points_on_path(points, r, path, trans, results)));
-
-    return results.pyobj();
+    return point_in_path(x, y, r, path, trans);
 }
 
-const char *Py_get_path_extents__doc__ = "get_path_extents(path, trans)";
-
-static PyObject *Py_get_path_extents(PyObject *self, PyObject *args, PyObject *kwds)
+static py::array_t<double>
+Py_points_in_path(py::array_t<double> points_obj, double r, mpl::PathIterator path,
+                  agg::trans_affine trans)
 {
-    py::PathIterator path;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(
-             args, "O&O&:get_path_extents", &convert_path, &path, &convert_trans_affine, &trans)) {
-        return NULL;
-    }
-
-    extent_limits e;
-
-    CALL_CPP("get_path_extents", (reset_limits(e)));
-    CALL_CPP("get_path_extents", (update_path_extents(path, trans, e)));
-
-    npy_intp dims[] = { 2, 2 };
-    numpy::array_view<double, 2> extents(dims);
-    extents(0, 0) = e.x0;
-    extents(0, 1) = e.y0;
-    extents(1, 0) = e.x1;
-    extents(1, 1) = e.y1;
-
-    return extents.pyobj();
-}
-
-const char *Py_update_path_extents__doc__ =
-    "update_path_extents(path, trans, rect, minpos, ignore)";
-
-static PyObject *Py_update_path_extents(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    py::PathIterator path;
-    agg::trans_affine trans;
-    agg::rect_d rect;
-    numpy::array_view<double, 1> minpos;
-    int ignore;
-    int changed;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&i:update_path_extents",
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &convert_rect,
-                          &rect,
-                          &minpos.converter,
-                          &minpos,
-                          &ignore)) {
-        return NULL;
-    }
-
-    if (minpos.dim(0) != 2) {
-        PyErr_SetString(PyExc_ValueError, "minpos must be of length 2");
-    }
-
-    extent_limits e;
-
-    if (ignore) {
-        CALL_CPP("update_path_extents", reset_limits(e));
-    } else {
-        if (rect.x1 > rect.x2) {
-            e.x0 = std::numeric_limits<double>::infinity();
-            e.x1 = -std::numeric_limits<double>::infinity();
-        } else {
-            e.x0 = rect.x1;
-            e.x1 = rect.x2;
-        }
-        if (rect.y1 > rect.y2) {
-            e.y0 = std::numeric_limits<double>::infinity();
-            e.y1 = -std::numeric_limits<double>::infinity();
-        } else {
-            e.y0 = rect.y1;
-            e.y1 = rect.y2;
-        }
-        e.xm = minpos(0);
-        e.ym = minpos(1);
-    }
+    auto points = convert_points(points_obj);
 
-    CALL_CPP("update_path_extents", (update_path_extents(path, trans, e)));
+    py::ssize_t dims[] = { points.shape(0) };
+    py::array_t<uint8_t> results(dims);
+    auto results_mutable = results.mutable_unchecked<1>();
 
-    changed = (e.x0 != rect.x1 || e.y0 != rect.y1 || e.x1 != rect.x2 || e.y1 != rect.y2 ||
-               e.xm != minpos(0) || e.ym != minpos(1));
+    points_in_path(points, r, path, trans, results_mutable);
 
-    npy_intp extentsdims[] = { 2, 2 };
-    numpy::array_view<double, 2> outextents(extentsdims);
-    outextents(0, 0) = e.x0;
-    outextents(0, 1) = e.y0;
-    outextents(1, 0) = e.x1;
-    outextents(1, 1) = e.y1;
-
-    npy_intp minposdims[] = { 2 };
-    numpy::array_view<double, 1> outminpos(minposdims);
-    outminpos(0) = e.xm;
-    outminpos(1) = e.ym;
-
-    return Py_BuildValue(
-        "NNi", outextents.pyobj(), outminpos.pyobj(), changed);
+    return results;
 }
 
-const char *Py_get_path_collection_extents__doc__ = "get_path_collection_extents(";
-
-static PyObject *Py_get_path_collection_extents(PyObject *self, PyObject *args, PyObject *kwds)
+static py::tuple
+Py_get_path_collection_extents(agg::trans_affine master_transform,
+                               mpl::PathGenerator paths,
+                               py::array_t<double> transforms_obj,
+                               py::array_t<double> offsets_obj,
+                               agg::trans_affine offset_trans)
 {
-    agg::trans_affine master_transform;
-    PyObject *pathsobj;
-    numpy::array_view<const double, 3> transforms;
-    numpy::array_view<const double, 2> offsets;
-    agg::trans_affine offset_trans;
+    auto transforms = convert_transforms(transforms_obj);
+    auto offsets = convert_points(offsets_obj);
     extent_limits e;
 
-    if (!PyArg_ParseTuple(args,
-                          "O&OO&O&O&:get_path_collection_extents",
-                          &convert_trans_affine,
-                          &master_transform,
-                          &pathsobj,
-                          &transforms.converter,
-                          &transforms,
-                          &offsets.converter,
-                          &offsets,
-                          &convert_trans_affine,
-                          &offset_trans)) {
-        return NULL;
-    }
-
-    try
-    {
-        py::PathGenerator paths(pathsobj);
+    get_path_collection_extents(
+        master_transform, paths, transforms, offsets, offset_trans, e);
 
-        CALL_CPP("get_path_collection_extents",
-                 (get_path_collection_extents(
-                     master_transform, paths, transforms, offsets, offset_trans, e)));
-    }
-    catch (py::exception &e)
-    {
-        return NULL;
-    }
+    py::ssize_t dims[] = { 2, 2 };
+    py::array_t<double> extents(dims);
+    *extents.mutable_data(0, 0) = e.x0;
+    *extents.mutable_data(0, 1) = e.y0;
+    *extents.mutable_data(1, 0) = e.x1;
+    *extents.mutable_data(1, 1) = e.y1;
 
-    npy_intp dims[] = { 2, 2 };
-    numpy::array_view<double, 2> extents(dims);
-    extents(0, 0) = e.x0;
-    extents(0, 1) = e.y0;
-    extents(1, 0) = e.x1;
-    extents(1, 1) = e.y1;
+    py::ssize_t minposdims[] = { 2 };
+    py::array_t<double> minpos(minposdims);
+    *minpos.mutable_data(0) = e.xm;
+    *minpos.mutable_data(1) = e.ym;
 
-    return extents.pyobj();
+    return py::make_tuple(extents, minpos);
 }
 
-const char *Py_point_in_path_collection__doc__ =
-    "point_in_path_collection(x, y, radius, master_transform, paths, transforms, offsets, "
-    "offset_trans, filled, offset_position)";
-
-static PyObject *Py_point_in_path_collection(PyObject *self, PyObject *args, PyObject *kwds)
+static py::object
+Py_point_in_path_collection(double x, double y, double radius,
+                            agg::trans_affine master_transform, mpl::PathGenerator paths,
+                            py::array_t<double> transforms_obj,
+                            py::array_t<double> offsets_obj,
+                            agg::trans_affine offset_trans, bool filled)
 {
-    double x, y, radius;
-    agg::trans_affine master_transform;
-    PyObject *pathsobj;
-    numpy::array_view<const double, 3> transforms;
-    numpy::array_view<const double, 2> offsets;
-    agg::trans_affine offset_trans;
-    int filled;
-    e_offset_position offset_position;
-    std::vector<size_t> result;
-
-    if (!PyArg_ParseTuple(args,
-                          "dddO&OO&O&O&iO&:point_in_path_collection",
-                          &x,
-                          &y,
-                          &radius,
-                          &convert_trans_affine,
-                          &master_transform,
-                          &pathsobj,
-                          &transforms.converter,
-                          &transforms,
-                          &offsets.converter,
-                          &offsets,
-                          &convert_trans_affine,
-                          &offset_trans,
-                          &filled,
-                          &convert_offset_position,
-                          &offset_position)) {
-        return NULL;
-    }
+    auto transforms = convert_transforms(transforms_obj);
+    auto offsets = convert_points(offsets_obj);
+    std::vector<int> result;
 
-    try
-    {
-        py::PathGenerator paths(pathsobj);
-
-        CALL_CPP("point_in_path_collection",
-                 (point_in_path_collection(x,
-                                           y,
-                                           radius,
-                                           master_transform,
-                                           paths,
-                                           transforms,
-                                           offsets,
-                                           offset_trans,
-                                           filled,
-                                           offset_position,
-                                           result)));
-    }
-    catch (py::exception &e)
-    {
-        return NULL;
-    }
+    point_in_path_collection(x, y, radius, master_transform, paths, transforms, offsets,
+                             offset_trans, filled, result);
 
-    npy_intp dims[] = {(npy_intp)result.size() };
-    numpy::array_view<size_t, 1> pyresult(dims);
-    memcpy(pyresult.data(), &result[0], result.size() * sizeof(size_t));
-    return pyresult.pyobj();
+    py::ssize_t dims[] = { static_cast<py::ssize_t>(result.size()) };
+    return py::array(dims, result.data());
 }
 
-const char *Py_path_in_path__doc__ = "path_in_path(path_a, trans_a, path_b, trans_b)";
-
-static PyObject *Py_path_in_path(PyObject *self, PyObject *args, PyObject *kwds)
+static bool
+Py_path_in_path(mpl::PathIterator a, agg::trans_affine atrans,
+                mpl::PathIterator b, agg::trans_affine btrans)
 {
-    py::PathIterator a;
-    agg::trans_affine atrans;
-    py::PathIterator b;
-    agg::trans_affine btrans;
-    bool result;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&O&:path_in_path",
-                          &convert_path,
-                          &a,
-                          &convert_trans_affine,
-                          &atrans,
-                          &convert_path,
-                          &b,
-                          &convert_trans_affine,
-                          &btrans)) {
-        return NULL;
-    }
-
-    CALL_CPP("path_in_path", (result = path_in_path(a, atrans, b, btrans)));
-
-    if (result) {
-        Py_RETURN_TRUE;
-    } else {
-        Py_RETURN_FALSE;
-    }
+    return path_in_path(a, atrans, b, btrans);
 }
 
-const char *Py_clip_path_to_rect__doc__ = "clip_path_to_rect(path, rect, inside)";
-
-static PyObject *Py_clip_path_to_rect(PyObject *self, PyObject *args, PyObject *kwds)
+static py::list
+Py_clip_path_to_rect(mpl::PathIterator path, agg::rect_d rect, bool inside)
 {
-    py::PathIterator path;
-    agg::rect_d rect;
-    int inside;
     std::vector<Polygon> result;
 
-    if (!PyArg_ParseTuple(args,
-                          "O&O&i:clip_path_to_rect",
-                          &convert_path,
-                          &path,
-                          &convert_rect,
-                          &rect,
-                          &inside)) {
-        return NULL;
-    }
-
-    CALL_CPP("clip_path_to_rect", (clip_path_to_rect(path, rect, inside, result)));
+    clip_path_to_rect(path, rect, inside, result);
 
     return convert_polygon_vector(result);
 }
 
-const char *Py_affine_transform__doc__ = "affine_transform(points, trans)";
-
-static PyObject *Py_affine_transform(PyObject *self, PyObject *args, PyObject *kwds)
+static py::object
+Py_affine_transform(py::array_t<double, py::array::c_style | py::array::forcecast> vertices_arr,
+                    agg::trans_affine trans)
 {
-    numpy::array_view<const double, 2> vertices;
-    agg::trans_affine trans;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&:affine_transform",
-                          &vertices.converter,
-                          &vertices,
-                          &convert_trans_affine,
-                          &trans)) {
-        return NULL;
-    }
+    if (vertices_arr.ndim() == 2) {
+        auto vertices = vertices_arr.unchecked<2>();
 
-    npy_intp dims[] = { vertices.dim(0), 2 };
-    numpy::array_view<double, 2> result(dims);
+        check_trailing_shape(vertices, "vertices", 2);
 
-    CALL_CPP("affine_transform", (affine_transform(vertices, trans, result)));
+        py::ssize_t dims[] = { vertices.shape(0), 2 };
+        py::array_t<double> result(dims);
+        auto result_mutable = result.mutable_unchecked<2>();
 
-    return result.pyobj();
-}
+        affine_transform_2d(vertices, trans, result_mutable);
+        return result;
+    } else if (vertices_arr.ndim() == 1) {
+        auto vertices = vertices_arr.unchecked<1>();
 
-const char *Py_count_bboxes_overlapping_bbox__doc__ = "count_bboxes_overlapping_bbox(bbox, bboxes)";
+        py::ssize_t dims[] = { vertices.shape(0) };
+        py::array_t<double> result(dims);
+        auto result_mutable = result.mutable_unchecked<1>();
 
-static PyObject *Py_count_bboxes_overlapping_bbox(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    agg::rect_d bbox;
-    numpy::array_view<const double, 3> bboxes;
-    int result;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&:count_bboxes_overlapping_bbox",
-                          &convert_rect,
-                          &bbox,
-                          &bboxes.converter,
-                          &bboxes)) {
-        return NULL;
+        affine_transform_1d(vertices, trans, result_mutable);
+        return result;
+    } else {
+        throw py::value_error(
+            "vertices must be 1D or 2D, not" + std::to_string(vertices_arr.ndim()) + "D");
     }
+}
 
-    CALL_CPP("count_bboxes_overlapping_bbox",
-             (result = count_bboxes_overlapping_bbox(bbox, bboxes)));
+static int
+Py_count_bboxes_overlapping_bbox(agg::rect_d bbox, py::array_t<double> bboxes_obj)
+{
+    auto bboxes = convert_bboxes(bboxes_obj);
 
-    return PyLong_FromLong(result);
+    return count_bboxes_overlapping_bbox(bbox, bboxes);
 }
 
-const char *Py_path_intersects_path__doc__ = "path_intersects_path(path1, path2, filled=False)";
-
-static PyObject *Py_path_intersects_path(PyObject *self, PyObject *args, PyObject *kwds)
+static bool
+Py_path_intersects_path(mpl::PathIterator p1, mpl::PathIterator p2, bool filled)
 {
-    py::PathIterator p1;
-    py::PathIterator p2;
     agg::trans_affine t1;
     agg::trans_affine t2;
-    int filled = 0;
-    const char *names[] = { "p1", "p2", "filled", NULL };
     bool result;
 
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-                                     "O&O&i:path_intersects_path",
-                                     (char **)names,
-                                     &convert_path,
-                                     &p1,
-                                     &convert_path,
-                                     &p2,
-                                     &filled)) {
-        return NULL;
-    }
-
-    CALL_CPP("path_intersects_path", (result = path_intersects_path(p1, p2)));
+    result = path_intersects_path(p1, p2);
     if (filled) {
         if (!result) {
-            CALL_CPP("path_intersects_path",
-                     (result = path_in_path(p1, t1, p2, t2)));
+            result = path_in_path(p1, t1, p2, t2);
         }
         if (!result) {
-            CALL_CPP("path_intersects_path",
-                     (result = path_in_path(p2, t1, p1, t2)));
+            result = path_in_path(p2, t1, p1, t2);
         }
     }
 
-    if (result) {
-        Py_RETURN_TRUE;
-    } else {
-        Py_RETURN_FALSE;
-    }
+    return result;
 }
 
-const char *Py_convert_path_to_polygons__doc__ =
-    "convert_path_to_polygons(path, trans, width=0, height=0)";
+static bool
+Py_path_intersects_rectangle(mpl::PathIterator path, double rect_x1, double rect_y1,
+                             double rect_x2, double rect_y2, bool filled)
+{
+    return path_intersects_rectangle(path, rect_x1, rect_y1, rect_x2, rect_y2, filled);
+}
 
-static PyObject *Py_convert_path_to_polygons(PyObject *self, PyObject *args, PyObject *kwds)
+static py::list
+Py_convert_path_to_polygons(mpl::PathIterator path, agg::trans_affine trans,
+                            double width, double height, bool closed_only)
 {
-    py::PathIterator path;
-    agg::trans_affine trans;
-    double width = 0.0, height = 0.0;
     std::vector<Polygon> result;
 
-    if (!PyArg_ParseTuple(args,
-                          "O&O&|dd:convert_path_to_polygons",
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &width,
-                          &height)) {
-        return NULL;
-    }
-
-    CALL_CPP("convert_path_to_polygons",
-             (convert_path_to_polygons(path, trans, width, height, result)));
+    convert_path_to_polygons(path, trans, width, height, closed_only, result);
 
     return convert_polygon_vector(result);
 }
 
-const char *Py_cleanup_path__doc__ =
-    "cleanup_path(path, trans, remove_nans, clip_rect, snap_mode, stroke_width, simplify, "
-    "return_curves, sketch)";
-
-static PyObject *Py_cleanup_path(PyObject *self, PyObject *args, PyObject *kwds)
+static py::tuple
+Py_cleanup_path(mpl::PathIterator path, agg::trans_affine trans, bool remove_nans,
+                agg::rect_d clip_rect, e_snap_mode snap_mode, double stroke_width,
+                std::optional<bool> simplify, bool return_curves, SketchParams sketch)
 {
-    py::PathIterator path;
-    agg::trans_affine trans;
-    int remove_nans;
-    agg::rect_d clip_rect;
-    e_snap_mode snap_mode;
-    double stroke_width;
-    PyObject *simplifyobj;
-    bool simplify = false;
-    int return_curves;
-    SketchParams sketch;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&iO&O&dOiO&:cleanup_path",
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &remove_nans,
-                          &convert_rect,
-                          &clip_rect,
-                          &convert_snap,
-                          &snap_mode,
-                          &stroke_width,
-                          &simplifyobj,
-                          &return_curves,
-                          &convert_sketch_params,
-                          &sketch)) {
-        return NULL;
-    }
-
-    if (simplifyobj == Py_None) {
+    if (!simplify.has_value()) {
         simplify = path.should_simplify();
-    } else if (PyObject_IsTrue(simplifyobj)) {
-        simplify = true;
     }
 
     bool do_clip = (clip_rect.x1 < clip_rect.x2 && clip_rect.y1 < clip_rect.y2);
 
     std::vector<double> vertices;
-    std::vector<npy_uint8> codes;
-
-    CALL_CPP("cleanup_path",
-             (cleanup_path(path,
-                           trans,
-                           remove_nans,
-                           do_clip,
-                           clip_rect,
-                           snap_mode,
-                           stroke_width,
-                           simplify,
-                           return_curves,
-                           sketch,
-                           vertices,
-                           codes)));
-
-    size_t length = codes.size();
-
-    npy_intp vertices_dims[] = {(npy_intp)length, 2 };
-    numpy::array_view<double, 2> pyvertices(vertices_dims);
-
-    npy_intp codes_dims[] = {(npy_intp)length };
-    numpy::array_view<unsigned char, 1> pycodes(codes_dims);
-
-    memcpy(pyvertices.data(), &vertices[0], sizeof(double) * 2 * length);
-    memcpy(pycodes.data(), &codes[0], sizeof(unsigned char) * length);
-
-    return Py_BuildValue("NN", pyvertices.pyobj(), pycodes.pyobj());
-}
+    std::vector<uint8_t> codes;
+
+    cleanup_path(path, trans, remove_nans, do_clip, clip_rect, snap_mode, stroke_width,
+                 *simplify, return_curves, sketch, vertices, codes);
 
-const char *Py_convert_to_svg__doc__ = "convert_to_svg(path, trans, cliprect, simplify, precision)";
+    auto length = static_cast<py::ssize_t>(codes.size());
+
+    py::ssize_t vertices_dims[] = { length, 2 };
+    py::array pyvertices(vertices_dims, vertices.data());
+
+    py::ssize_t codes_dims[] = { length };
+    py::array pycodes(codes_dims, codes.data());
+
+    return py::make_tuple(pyvertices, pycodes);
+}
 
-static PyObject *Py_convert_to_svg(PyObject *self, PyObject *args, PyObject *kwds)
+const char *Py_convert_to_string__doc__ =
+R"""(--
+
+Convert *path* to a bytestring.
+
+The first five parameters (up to *sketch*) are interpreted as in `.cleanup_path`. The
+following ones are detailed below.
+
+Parameters
+----------
+path : Path
+trans : Transform or None
+clip_rect : sequence of 4 floats, or None
+simplify : bool
+sketch : tuple of 3 floats, or None
+precision : int
+    The precision used to "%.*f"-format the values. Trailing zeros and decimal points
+    are always removed. (precision=-1 is a special case used to implement
+    ttconv-back-compatible conversion.)
+codes : sequence of 5 bytestrings
+    The bytes representation of each opcode (MOVETO, LINETO, CURVE3, CURVE4, CLOSEPOLY),
+    in that order. If the bytes for CURVE3 is empty, quad segments are automatically
+    converted to cubic ones (this is used by backends such as pdf and ps, which do not
+    support quads).
+postfix : bool
+    Whether the opcode comes after the values (True) or before (False).
+)""";
+
+static py::object
+Py_convert_to_string(mpl::PathIterator path, agg::trans_affine trans,
+                     agg::rect_d cliprect, std::optional<bool> simplify,
+                     SketchParams sketch, int precision,
+                     std::array<std::string, 5> codes_obj, bool postfix)
 {
-    py::PathIterator path;
-    agg::trans_affine trans;
-    agg::rect_d cliprect;
-    PyObject *simplifyobj;
-    bool simplify = false;
-    int precision;
-
-    if (!PyArg_ParseTuple(args,
-                          "O&O&O&Oi:convert_to_svg",
-                          &convert_path,
-                          &path,
-                          &convert_trans_affine,
-                          &trans,
-                          &convert_rect,
-                          &cliprect,
-                          &simplifyobj,
-                          &precision)) {
-        return NULL;
+    char *codes[5];
+    std::string buffer;
+    bool status;
+
+    for (auto i = 0; i < 5; ++i) {
+        codes[i] = const_cast<char *>(codes_obj[i].c_str());
     }
 
-    if (simplifyobj == Py_None) {
+    if (!simplify.has_value()) {
         simplify = path.should_simplify();
-    } else if (PyObject_IsTrue(simplifyobj)) {
-        simplify = true;
     }
 
-    size_t buffersize = path.total_vertices() * (precision + 5) * 4;
-    std::string buffer;
-    buffer.reserve(buffersize);
+    status = convert_to_string(path, trans, cliprect, *simplify, sketch, precision,
+                               codes, postfix, buffer);
 
-    CALL_CPP("convert_to_svg",
-             (convert_to_svg(path, trans, cliprect, simplify, precision, &buffer[0], &buffersize)));
+    if (!status) {
+        throw py::value_error("Malformed path codes");
+    }
 
-    return PyUnicode_DecodeASCII(&buffer[0], buffersize, "");
+    return py::bytes(buffer);
 }
 
-extern "C" {
-
-    static PyMethodDef module_functions[] = {
-        {"point_in_path", (PyCFunction)Py_point_in_path, METH_VARARGS, Py_point_in_path__doc__},
-        {"points_in_path", (PyCFunction)Py_points_in_path, METH_VARARGS, Py_points_in_path__doc__},
-        {"point_on_path", (PyCFunction)Py_point_on_path, METH_VARARGS, Py_point_on_path__doc__},
-        {"points_on_path", (PyCFunction)Py_points_on_path, METH_VARARGS, Py_points_on_path__doc__},
-        {"get_path_extents", (PyCFunction)Py_get_path_extents, METH_VARARGS, Py_get_path_extents__doc__},
-        {"update_path_extents", (PyCFunction)Py_update_path_extents, METH_VARARGS, Py_update_path_extents__doc__},
-        {"get_path_collection_extents", (PyCFunction)Py_get_path_collection_extents, METH_VARARGS, Py_get_path_collection_extents__doc__},
-        {"point_in_path_collection", (PyCFunction)Py_point_in_path_collection, METH_VARARGS, Py_point_in_path_collection__doc__},
-        {"path_in_path", (PyCFunction)Py_path_in_path, METH_VARARGS, Py_path_in_path__doc__},
-        {"clip_path_to_rect", (PyCFunction)Py_clip_path_to_rect, METH_VARARGS, Py_clip_path_to_rect__doc__},
-        {"affine_transform", (PyCFunction)Py_affine_transform, METH_VARARGS, Py_affine_transform__doc__},
-        {"count_bboxes_overlapping_bbox", (PyCFunction)Py_count_bboxes_overlapping_bbox, METH_VARARGS, Py_count_bboxes_overlapping_bbox__doc__},
-        {"path_intersects_path", (PyCFunction)Py_path_intersects_path, METH_VARARGS|METH_KEYWORDS, Py_path_intersects_path__doc__},
-        {"convert_path_to_polygons", (PyCFunction)Py_convert_path_to_polygons, METH_VARARGS, Py_convert_path_to_polygons__doc__},
-        {"cleanup_path", (PyCFunction)Py_cleanup_path, METH_VARARGS, Py_cleanup_path__doc__},
-        {"convert_to_svg", (PyCFunction)Py_convert_to_svg, METH_VARARGS, Py_convert_to_svg__doc__},
-        {NULL}
-    };
-
-    struct module_state
-    {
-        int _dummy;
-    };
-
-#if PY3K
-    static struct PyModuleDef moduledef = {
-        PyModuleDef_HEAD_INIT,
-        "_path",
-        NULL,
-        sizeof(struct module_state),
-        module_functions,
-        NULL,
-        NULL,
-        NULL,
-        NULL
-    };
-
-#define INITERROR return NULL
-    PyMODINIT_FUNC PyInit__path(void)
-#else
-#define INITERROR return
-    PyMODINIT_FUNC init_path(void)
-#endif
-    {
-        PyObject *m;
-#if PY3K
-        m = PyModule_Create(&moduledef);
-#else
-        m = Py_InitModule3("_path", module_functions, NULL);
-#endif
-
-        if (m == NULL) {
-            INITERROR;
-        }
+const char *Py_is_sorted_and_has_non_nan__doc__ =
+R"""(--
+
+Return whether the 1D *array* is monotonically increasing, ignoring NaNs, and has at
+least one non-nan value.)""";
 
-        import_array();
+static bool
+Py_is_sorted_and_has_non_nan(py::object obj)
+{
+    bool result;
 
-#if PY3K
-        return m;
-#endif
+    py::array array = py::array::ensure(obj);
+    if (array.ndim() != 1) {
+        throw std::invalid_argument("array must be 1D");
     }
+
+    auto dtype = array.dtype();
+    /* Handle just the most common types here, otherwise coerce to double */
+    if (dtype.equal(py::dtype::of<std::int32_t>())) {
+        result = is_sorted_and_has_non_nan<int32_t>(array);
+    } else if (dtype.equal(py::dtype::of<std::int64_t>())) {
+        result = is_sorted_and_has_non_nan<int64_t>(array);
+    } else if (dtype.equal(py::dtype::of<float>())) {
+        result = is_sorted_and_has_non_nan<float>(array);
+    } else if (dtype.equal(py::dtype::of<double>())) {
+        result = is_sorted_and_has_non_nan<double>(array);
+    } else {
+        array = py::array_t<double>::ensure(obj);
+        result = is_sorted_and_has_non_nan<double>(array);
+    }
+
+    return result;
+}
+
+PYBIND11_MODULE(_path, m, py::mod_gil_not_used())
+{
+    m.def("point_in_path", &Py_point_in_path,
+          "x"_a, "y"_a, "radius"_a, "path"_a, "trans"_a);
+    m.def("points_in_path", &Py_points_in_path,
+          "points"_a, "radius"_a, "path"_a, "trans"_a);
+    m.def("get_path_collection_extents", &Py_get_path_collection_extents,
+          "master_transform"_a, "paths"_a, "transforms"_a, "offsets"_a,
+          "offset_transform"_a);
+    m.def("point_in_path_collection", &Py_point_in_path_collection,
+          "x"_a, "y"_a, "radius"_a, "master_transform"_a, "paths"_a, "transforms"_a,
+          "offsets"_a, "offset_trans"_a, "filled"_a);
+    m.def("path_in_path", &Py_path_in_path,
+          "path_a"_a, "trans_a"_a, "path_b"_a, "trans_b"_a);
+    m.def("clip_path_to_rect", &Py_clip_path_to_rect,
+          "path"_a, "rect"_a, "inside"_a);
+    m.def("affine_transform", &Py_affine_transform,
+          "points"_a, "trans"_a);
+    m.def("count_bboxes_overlapping_bbox", &Py_count_bboxes_overlapping_bbox,
+          "bbox"_a, "bboxes"_a);
+    m.def("path_intersects_path", &Py_path_intersects_path,
+          "path1"_a, "path2"_a, "filled"_a = false);
+    m.def("path_intersects_rectangle", &Py_path_intersects_rectangle,
+          "path"_a, "rect_x1"_a, "rect_y1"_a, "rect_x2"_a, "rect_y2"_a,
+          "filled"_a = false);
+    m.def("convert_path_to_polygons", &Py_convert_path_to_polygons,
+          "path"_a, "trans"_a, "width"_a = 0.0, "height"_a = 0.0,
+          "closed_only"_a = false);
+    m.def("cleanup_path", &Py_cleanup_path,
+          "path"_a, "trans"_a, "remove_nans"_a, "clip_rect"_a, "snap_mode"_a,
+          "stroke_width"_a, "simplify"_a, "return_curves"_a, "sketch"_a);
+    m.def("convert_to_string", &Py_convert_to_string,
+          "path"_a, "trans"_a, "clip_rect"_a, "simplify"_a, "sketch"_a, "precision"_a,
+          "codes"_a, "postfix"_a,
+          Py_convert_to_string__doc__);
+    m.def("is_sorted_and_has_non_nan", &Py_is_sorted_and_has_non_nan,
+          "array"_a,
+          Py_is_sorted_and_has_non_nan__doc__);
 }
diff --git a/src/_png.cpp b/src/_png.cpp
deleted file mode 100644
index a71b9fffb0bf..000000000000
--- a/src/_png.cpp
+++ /dev/null
@@ -1,538 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-// this code is heavily adapted from the paint license, which is in
-// the file paint.license (BSD compatible) included in this
-// distribution.  TODO, add license file to MANIFEST.in and CVS
-
-/* For linux, png.h must be imported before Python.h because
-   png.h needs to be the one to define setjmp.
-   Undefining _POSIX_C_SOURCE and _XOPEN_SOURCE stops a couple
-   of harmless warnings.
-*/
-
-
-extern "C" {
-#   include <png.h>
-#   ifdef _POSIX_C_SOURCE
-#       undef _POSIX_C_SOURCE
-#   endif
-#   ifdef _XOPEN_SOURCE
-#       undef _XOPEN_SOURCE
-#   endif
-}
-
-#include "numpy_cpp.h"
-#include "mplutils.h"
-#include "file_compat.h"
-
-#   include <vector>
-#   include "Python.h"
-
-
-// As reported in [3082058] build _png.so on aix
-#ifdef _AIX
-#undef jmpbuf
-#endif
-
-static void write_png_data(png_structp png_ptr, png_bytep data, png_size_t length)
-{
-    PyObject *py_file_obj = (PyObject *)png_get_io_ptr(png_ptr);
-    PyObject *write_method = PyObject_GetAttrString(py_file_obj, "write");
-    PyObject *result = NULL;
-    if (write_method) {
-#if PY3K
-        result = PyObject_CallFunction(write_method, (char *)"y#", data, length);
-#else
-        result = PyObject_CallFunction(write_method, (char *)"s#", data, length);
-#endif
-    }
-    Py_XDECREF(write_method);
-    Py_XDECREF(result);
-}
-
-static void flush_png_data(png_structp png_ptr)
-{
-    PyObject *py_file_obj = (PyObject *)png_get_io_ptr(png_ptr);
-    PyObject *flush_method = PyObject_GetAttrString(py_file_obj, "flush");
-    PyObject *result = NULL;
-    if (flush_method) {
-        result = PyObject_CallFunction(flush_method, (char *)"");
-    }
-    Py_XDECREF(flush_method);
-    Py_XDECREF(result);
-}
-
-const char *Py_write_png__doc__ = "write_png(buffer, file, dpi=0)";
-
-static PyObject *Py_write_png(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    numpy::array_view<unsigned char, 3> buffer;
-    PyObject *filein;
-    double dpi = 0;
-    const char *names[] = { "buffer", "file", "dpi", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-                                     "O&O|d:write_png",
-                                     (char **)names,
-                                     &buffer.converter,
-                                     &buffer,
-                                     &filein,
-                                     &dpi)) {
-        return NULL;
-    }
-
-    png_uint_32 width = (png_uint_32)buffer.dim(1);
-    png_uint_32 height = (png_uint_32)buffer.dim(0);
-    std::vector<png_bytep> row_pointers(height);
-    for (png_uint_32 row = 0; row < (png_uint_32)height; ++row) {
-        row_pointers[row] = (png_bytep)buffer[row].data();
-    }
-
-    FILE *fp = NULL;
-    mpl_off_t offset = 0;
-    bool close_file = false;
-    bool close_dup_file = false;
-    PyObject *py_file = NULL;
-
-    png_structp png_ptr = NULL;
-    png_infop info_ptr = NULL;
-    struct png_color_8_struct sig_bit;
-
-    if (buffer.dim(2) != 4) {
-        PyErr_SetString(PyExc_ValueError, "Buffer must be RGBA NxMx4 array");
-        goto exit;
-    }
-
-    if (PyBytes_Check(filein) || PyUnicode_Check(filein)) {
-        if ((py_file = mpl_PyFile_OpenFile(filein, (char *)"wb")) == NULL) {
-            goto exit;
-        }
-        close_file = true;
-    } else {
-        py_file = filein;
-    }
-
-    if ((fp = mpl_PyFile_Dup(py_file, (char *)"wb", &offset))) {
-        close_dup_file = true;
-    } else {
-        PyErr_Clear();
-        PyObject *write_method = PyObject_GetAttrString(py_file, "write");
-        if (!(write_method && PyCallable_Check(write_method))) {
-            Py_XDECREF(write_method);
-            PyErr_SetString(PyExc_TypeError,
-                            "Object does not appear to be a 8-bit string path or "
-                            "a Python file-like object");
-            goto exit;
-        }
-        Py_XDECREF(write_method);
-    }
-
-    png_ptr = png_create_write_struct(PNG_LIBPNG_VER_STRING, NULL, NULL, NULL);
-    if (png_ptr == NULL) {
-        PyErr_SetString(PyExc_RuntimeError, "Could not create write struct");
-        goto exit;
-    }
-
-    info_ptr = png_create_info_struct(png_ptr);
-    if (info_ptr == NULL) {
-        PyErr_SetString(PyExc_RuntimeError, "Could not create info struct");
-        goto exit;
-    }
-
-    if (setjmp(png_jmpbuf(png_ptr))) {
-        PyErr_SetString(PyExc_RuntimeError, "Error setting jumps");
-        goto exit;
-    }
-
-    if (fp) {
-        png_init_io(png_ptr, fp);
-    } else {
-        png_set_write_fn(png_ptr, (void *)py_file, &write_png_data, &flush_png_data);
-    }
-    png_set_IHDR(png_ptr,
-                 info_ptr,
-                 width,
-                 height,
-                 8,
-                 PNG_COLOR_TYPE_RGB_ALPHA,
-                 PNG_INTERLACE_NONE,
-                 PNG_COMPRESSION_TYPE_BASE,
-                 PNG_FILTER_TYPE_BASE);
-
-    // Save the dpi of the image in the file
-    if (dpi > 0.0) {
-        png_uint_32 dots_per_meter = (png_uint_32)(dpi / (2.54 / 100.0));
-        png_set_pHYs(png_ptr, info_ptr, dots_per_meter, dots_per_meter, PNG_RESOLUTION_METER);
-    }
-
-    // this a a color image!
-    sig_bit.gray = 0;
-    sig_bit.red = 8;
-    sig_bit.green = 8;
-    sig_bit.blue = 8;
-    /* if the image has an alpha channel then */
-    sig_bit.alpha = 8;
-    png_set_sBIT(png_ptr, info_ptr, &sig_bit);
-
-    png_write_info(png_ptr, info_ptr);
-    png_write_image(png_ptr, &row_pointers[0]);
-    png_write_end(png_ptr, info_ptr);
-
-exit:
-
-    if (png_ptr && info_ptr) {
-        png_destroy_write_struct(&png_ptr, &info_ptr);
-    }
-
-    if (close_dup_file) {
-        mpl_PyFile_DupClose(py_file, fp, offset);
-    }
-
-    if (close_file) {
-        mpl_PyFile_CloseFile(py_file);
-        Py_DECREF(py_file);
-    }
-
-    if (PyErr_Occurred()) {
-        return NULL;
-    } else {
-        Py_RETURN_NONE;
-    }
-}
-
-static void _read_png_data(PyObject *py_file_obj, png_bytep data, png_size_t length)
-{
-    PyObject *read_method = PyObject_GetAttrString(py_file_obj, "read");
-    PyObject *result = NULL;
-    char *buffer;
-    Py_ssize_t bufflen;
-    if (read_method) {
-        result = PyObject_CallFunction(read_method, (char *)"i", length);
-    }
-    if (PyBytes_AsStringAndSize(result, &buffer, &bufflen) == 0) {
-        if (bufflen == (Py_ssize_t)length) {
-            memcpy(data, buffer, length);
-        }
-    }
-    Py_XDECREF(read_method);
-    Py_XDECREF(result);
-}
-
-static void read_png_data(png_structp png_ptr, png_bytep data, png_size_t length)
-{
-    PyObject *py_file_obj = (PyObject *)png_get_io_ptr(png_ptr);
-    _read_png_data(py_file_obj, data, length);
-}
-
-static PyObject *_read_png(PyObject *filein, bool float_result)
-{
-    png_byte header[8]; // 8 is the maximum size that can be checked
-    FILE *fp = NULL;
-    mpl_off_t offset = 0;
-    bool close_file = false;
-    bool close_dup_file = false;
-    PyObject *py_file = NULL;
-    png_structp png_ptr = NULL;
-    png_infop info_ptr = NULL;
-    int num_dims;
-    std::vector<png_bytep> row_pointers;
-    png_uint_32 width = 0;
-    png_uint_32 height = 0;
-    int bit_depth;
-    PyObject *result = NULL;
-
-    // TODO: Remove direct calls to Numpy API here
-
-    if (PyBytes_Check(filein) || PyUnicode_Check(filein)) {
-        if ((py_file = mpl_PyFile_OpenFile(filein, (char *)"rb")) == NULL) {
-            goto exit;
-        }
-        close_file = true;
-    } else {
-        py_file = filein;
-    }
-
-    if ((fp = mpl_PyFile_Dup(py_file, (char *)"rb", &offset))) {
-        close_dup_file = true;
-    } else {
-        PyErr_Clear();
-        PyObject *read_method = PyObject_GetAttrString(py_file, "read");
-        if (!(read_method && PyCallable_Check(read_method))) {
-            Py_XDECREF(read_method);
-            PyErr_SetString(PyExc_TypeError,
-                            "Object does not appear to be a 8-bit string path or "
-                            "a Python file-like object");
-            goto exit;
-        }
-        Py_XDECREF(read_method);
-    }
-
-    if (fp) {
-        if (fread(header, 1, 8, fp) != 8) {
-            PyErr_SetString(PyExc_IOError, "error reading PNG header");
-            goto exit;
-        }
-    } else {
-        _read_png_data(py_file, header, 8);
-    }
-
-    if (png_sig_cmp(header, 0, 8)) {
-        PyErr_SetString(PyExc_ValueError, "invalid PNG header");
-        goto exit;
-    }
-
-    /* initialize stuff */
-    png_ptr = png_create_read_struct(PNG_LIBPNG_VER_STRING, NULL, NULL, NULL);
-
-    if (!png_ptr) {
-        PyErr_SetString(PyExc_RuntimeError, "png_create_read_struct failed");
-        goto exit;
-    }
-
-    info_ptr = png_create_info_struct(png_ptr);
-    if (!info_ptr) {
-        PyErr_SetString(PyExc_RuntimeError, "png_create_info_struct failed");
-        goto exit;
-    }
-
-    if (setjmp(png_jmpbuf(png_ptr))) {
-        PyErr_SetString(PyExc_RuntimeError, "Error setting jump");
-        goto exit;
-    }
-
-    if (fp) {
-        png_init_io(png_ptr, fp);
-    } else {
-        png_set_read_fn(png_ptr, (void *)py_file, &read_png_data);
-    }
-    png_set_sig_bytes(png_ptr, 8);
-    png_read_info(png_ptr, info_ptr);
-
-    width = png_get_image_width(png_ptr, info_ptr);
-    height = png_get_image_height(png_ptr, info_ptr);
-
-    bit_depth = png_get_bit_depth(png_ptr, info_ptr);
-
-    // Unpack 1, 2, and 4-bit images
-    if (bit_depth < 8) {
-        png_set_packing(png_ptr);
-    }
-
-    // If sig bits are set, shift data
-    png_color_8p sig_bit;
-    if ((png_get_color_type(png_ptr, info_ptr) != PNG_COLOR_TYPE_PALETTE) &&
-        png_get_sBIT(png_ptr, info_ptr, &sig_bit)) {
-        png_set_shift(png_ptr, sig_bit);
-    }
-
-    // Convert big endian to little
-    if (bit_depth == 16) {
-        png_set_swap(png_ptr);
-    }
-
-    // Convert palletes to full RGB
-    if (png_get_color_type(png_ptr, info_ptr) == PNG_COLOR_TYPE_PALETTE) {
-        png_set_palette_to_rgb(png_ptr);
-        bit_depth = 8;
-    }
-
-    // If there's an alpha channel convert gray to RGB
-    if (png_get_color_type(png_ptr, info_ptr) == PNG_COLOR_TYPE_GRAY_ALPHA) {
-        png_set_gray_to_rgb(png_ptr);
-    }
-
-    png_set_interlace_handling(png_ptr);
-    png_read_update_info(png_ptr, info_ptr);
-
-    row_pointers.resize(height);
-    for (png_uint_32 row = 0; row < height; row++) {
-        row_pointers[row] = new png_byte[png_get_rowbytes(png_ptr, info_ptr)];
-    }
-
-    png_read_image(png_ptr, &row_pointers[0]);
-
-    npy_intp dimensions[3];
-    dimensions[0] = height; // numrows
-    dimensions[1] = width; // numcols
-    if (png_get_color_type(png_ptr, info_ptr) & PNG_COLOR_MASK_ALPHA) {
-        dimensions[2] = 4; // RGBA images
-    } else if (png_get_color_type(png_ptr, info_ptr) & PNG_COLOR_MASK_COLOR) {
-        dimensions[2] = 3; // RGB images
-    } else {
-        dimensions[2] = 1; // Greyscale images
-    }
-
-    if (float_result) {
-        double max_value = (1 << bit_depth) - 1;
-
-        numpy::array_view<float, 3> A(dimensions);
-
-        for (png_uint_32 y = 0; y < height; y++) {
-            png_byte *row = row_pointers[y];
-            for (png_uint_32 x = 0; x < width; x++) {
-                if (bit_depth == 16) {
-                    png_uint_16 *ptr = &reinterpret_cast<png_uint_16 *>(row)[x * dimensions[2]];
-                    for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
-                        A(y, x, p) = (float)(ptr[p]) / max_value;
-                    }
-                } else {
-                    png_byte *ptr = &(row[x * dimensions[2]]);
-                    for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
-                        A(y, x, p) = (float)(ptr[p]) / max_value;
-                    }
-                }
-            }
-        }
-
-        result = A.pyobj();
-    } else if (bit_depth == 16) {
-        numpy::array_view<png_uint_16, 3> A(dimensions);
-
-        for (png_uint_32 y = 0; y < height; y++) {
-            png_byte *row = row_pointers[y];
-            for (png_uint_32 x = 0; x < width; x++) {
-                png_uint_16 *ptr = &reinterpret_cast<png_uint_16 *>(row)[x * dimensions[2]];
-                for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
-                    A(y, x, p) = ptr[p];
-                }
-            }
-        }
-
-        result = A.pyobj();
-    } else if (bit_depth == 8) {
-        numpy::array_view<png_byte, 3> A(dimensions);
-
-        for (png_uint_32 y = 0; y < height; y++) {
-            png_byte *row = row_pointers[y];
-            for (png_uint_32 x = 0; x < width; x++) {
-                png_byte *ptr = &(row[x * dimensions[2]]);
-                for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
-                    A(y, x, p) = ptr[p];
-                }
-            }
-        }
-
-        result = A.pyobj();
-    } else {
-        PyErr_SetString(PyExc_RuntimeError, "image has unknown bit depth");
-        goto exit;
-    }
-
-    // free the png memory
-    png_read_end(png_ptr, info_ptr);
-
-    // For gray, return an x by y array, not an x by y by 1
-    num_dims = (png_get_color_type(png_ptr, info_ptr) & PNG_COLOR_MASK_COLOR) ? 3 : 2;
-
-    if (num_dims == 2) {
-        PyArray_Dims dims = {dimensions, 2};
-        PyObject *reshaped = PyArray_Newshape((PyArrayObject *)result, &dims, NPY_CORDER);
-        Py_DECREF(result);
-        result = reshaped;
-    }
-
-exit:
-    if (png_ptr && info_ptr) {
-#ifndef png_infopp_NULL
-        png_destroy_read_struct(&png_ptr, &info_ptr, NULL);
-#else
-        png_destroy_read_struct(&png_ptr, &info_ptr, png_infopp_NULL);
-#endif
-    }
-
-    if (close_dup_file) {
-        mpl_PyFile_DupClose(py_file, fp, offset);
-    }
-
-    if (close_file) {
-        mpl_PyFile_CloseFile(py_file);
-        Py_DECREF(py_file);
-    }
-
-    for (png_uint_32 row = 0; row < height; row++) {
-        delete[] row_pointers[row];
-    }
-
-    if (PyErr_Occurred()) {
-        Py_XDECREF(result);
-        return NULL;
-    } else {
-        return result;
-    }
-}
-
-const char *Py_read_png_float__doc__ = "read_png_float(file)";
-
-static PyObject *Py_read_png_float(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    return _read_png(args, true);
-}
-
-const char *Py_read_png_int__doc__ = "read_png_int(file)";
-
-static PyObject *Py_read_png_int(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    return _read_png(args, false);
-}
-
-const char *Py_read_png__doc__ = "read_png(file)";
-
-static PyMethodDef module_methods[] = {
-    {"write_png", (PyCFunction)Py_write_png, METH_VARARGS|METH_KEYWORDS, Py_write_png__doc__},
-    {"read_png", (PyCFunction)Py_read_png_float, METH_O, Py_read_png__doc__},
-    {"read_png_float", (PyCFunction)Py_read_png_float, METH_O, Py_read_png_float__doc__},
-    {"read_png_int", (PyCFunction)Py_read_png_int, METH_O, Py_read_png_int__doc__},
-    {NULL}
-};
-
-extern "C" {
-
-    struct module_state
-    {
-        int _dummy;
-    };
-
-#if PY3K
-    static struct PyModuleDef moduledef = {
-        PyModuleDef_HEAD_INIT,
-        "_png",
-        NULL,
-        sizeof(struct module_state),
-        module_methods,
-        NULL,
-        NULL,
-        NULL,
-        NULL
-    };
-
-#define INITERROR return NULL
-
-    PyMODINIT_FUNC PyInit__png(void)
-
-#else
-#define INITERROR return
-
-    PyMODINIT_FUNC init_png(void)
-#endif
-
-    {
-        PyObject *m;
-
-#if PY3K
-        m = PyModule_Create(&moduledef);
-#else
-        m = Py_InitModule3("_png", module_methods, NULL);
-#endif
-
-        if (m == NULL) {
-            INITERROR;
-        }
-
-        import_array();
-
-#if PY3K
-        return m;
-#endif
-    }
-}
diff --git a/src/_qhull_wrapper.cpp b/src/_qhull_wrapper.cpp
new file mode 100644
index 000000000000..f8a3103b65f1
--- /dev/null
+++ b/src/_qhull_wrapper.cpp
@@ -0,0 +1,303 @@
+/*
+ * Wrapper module for libqhull, providing Delaunay triangulation.
+ *
+ * This module's methods should not be accessed directly.  To obtain a Delaunay
+ * triangulation, construct an instance of the matplotlib.tri.Triangulation
+ * class without specifying a triangles array.
+ */
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+
+#ifdef _MSC_VER
+/* The Qhull header does not declare this as extern "C", but only MSVC seems to
+ * do name mangling on global variables. We thus need to declare this before
+ * the header so that it treats it correctly, and doesn't mangle the name. */
+extern "C" {
+extern const char qh_version[];
+}
+#endif
+
+#include "libqhull_r/qhull_ra.h"
+#include <cstdio>
+#include <vector>
+
+#ifndef MPL_DEVNULL
+#error "MPL_DEVNULL must be defined as the OS-equivalent of /dev/null"
+#endif
+
+#define STRINGIFY(x) STR(x)
+#define STR(x) #x
+
+namespace py = pybind11;
+using namespace pybind11::literals;
+
+// Input numpy array class.
+typedef py::array_t<double, py::array::c_style | py::array::forcecast> CoordArray;
+
+// Output numpy array class.
+typedef py::array_t<int> IndexArray;
+
+
+
+static const char* qhull_error_msg[6] = {
+    "",                     /* 0 = qh_ERRnone */
+    "input inconsistency",  /* 1 = qh_ERRinput */
+    "singular input data",  /* 2 = qh_ERRsingular */
+    "precision error",      /* 3 = qh_ERRprec */
+    "insufficient memory",  /* 4 = qh_ERRmem */
+    "internal error"};      /* 5 = qh_ERRqhull */
+
+
+/* Return the indices of the 3 vertices that comprise the specified facet (i.e.
+ * triangle). */
+static void
+get_facet_vertices(qhT* qh, const facetT* facet, int indices[3])
+{
+    vertexT *vertex, **vertexp;
+    FOREACHvertex_(facet->vertices) {
+        *indices++ = qh_pointid(qh, vertex->point);
+    }
+}
+
+/* Return the indices of the 3 triangles that are neighbors of the specified
+ * facet (triangle). */
+static void
+get_facet_neighbours(const facetT* facet, std::vector<int>& tri_indices,
+                     int indices[3])
+{
+    facetT *neighbor, **neighborp;
+    FOREACHneighbor_(facet) {
+        *indices++ = (neighbor->upperdelaunay ? -1 : tri_indices[neighbor->id]);
+    }
+}
+
+/* Return true if the specified points arrays contain at least 3 unique points,
+ * or false otherwise. */
+static bool
+at_least_3_unique_points(py::ssize_t npoints, const double* x, const double* y)
+{
+    const py::ssize_t unique1 = 0;  /* First unique point has index 0. */
+    py::ssize_t unique2 = 0;        /* Second unique point index is 0 until set. */
+
+    if (npoints < 3) {
+        return false;
+    }
+
+    for (py::ssize_t i = 1; i < npoints; ++i) {
+        if (unique2 == 0) {
+            /* Looking for second unique point. */
+            if (x[i] != x[unique1] || y[i] != y[unique1]) {
+                unique2 = i;
+            }
+        }
+        else {
+            /* Looking for third unique point. */
+            if ( (x[i] != x[unique1] || y[i] != y[unique1]) &&
+                 (x[i] != x[unique2] || y[i] != y[unique2]) ) {
+                /* 3 unique points found, with indices 0, unique2 and i. */
+                return true;
+            }
+        }
+    }
+
+    /* Run out of points before 3 unique points found. */
+    return false;
+}
+
+/* Holds on to info from Qhull so that it can be destructed automatically. */
+class QhullInfo {
+public:
+    QhullInfo(FILE *error_file, qhT* qh) {
+        this->error_file = error_file;
+        this->qh = qh;
+    }
+
+    ~QhullInfo() {
+        qh_freeqhull(this->qh, !qh_ALL);
+        int curlong, totlong;  /* Memory remaining. */
+        qh_memfreeshort(this->qh, &curlong, &totlong);
+        if (curlong || totlong) {
+            PyErr_WarnEx(PyExc_RuntimeWarning,
+                         "Qhull could not free all allocated memory", 1);
+        }
+
+        if (this->error_file != stderr) {
+            fclose(error_file);
+        }
+    }
+
+private:
+    FILE* error_file;
+    qhT* qh;
+};
+
+/* Delaunay implementation method.
+ * If hide_qhull_errors is true then qhull error messages are discarded;
+ * if it is false then they are written to stderr. */
+static py::tuple
+delaunay_impl(py::ssize_t npoints, const double* x, const double* y,
+              bool hide_qhull_errors)
+{
+    qhT qh_qh;                  /* qh variable type and name must be like */
+    qhT* qh = &qh_qh;           /* this for Qhull macros to work correctly. */
+    facetT* facet;
+    int i, ntri, max_facet_id;
+    int exitcode;               /* Value returned from qh_new_qhull(). */
+    const int ndim = 2;
+    double x_mean = 0.0;
+    double y_mean = 0.0;
+
+    QHULL_LIB_CHECK
+
+    /* Allocate points. */
+    std::vector<coordT> points(npoints * ndim);
+
+    /* Determine mean x, y coordinates. */
+    for (i = 0; i < npoints; ++i) {
+        x_mean += x[i];
+        y_mean += y[i];
+    }
+    x_mean /= npoints;
+    y_mean /= npoints;
+
+    /* Prepare points array to pass to qhull. */
+    for (i = 0; i < npoints; ++i) {
+        points[2*i  ] = x[i] - x_mean;
+        points[2*i+1] = y[i] - y_mean;
+    }
+
+    /* qhull expects a FILE* to write errors to. */
+    FILE* error_file = nullptr;
+    if (hide_qhull_errors) {
+        /* qhull errors are ignored by writing to OS-equivalent of /dev/null.
+         * Rather than have OS-specific code here, instead it is determined by
+         * meson.build and passed in via the macro MPL_DEVNULL. */
+        error_file = fopen(STRINGIFY(MPL_DEVNULL), "w");
+        if (error_file == nullptr) {
+            throw std::runtime_error("Could not open devnull");
+        }
+    }
+    else {
+        /* qhull errors written to stderr. */
+        error_file = stderr;
+    }
+
+    /* Perform Delaunay triangulation. */
+    QhullInfo info(error_file, qh);
+    qh_zero(qh, error_file);
+    exitcode = qh_new_qhull(qh, ndim, (int)npoints, points.data(), False,
+                            (char*)"qhull d Qt Qbb Qc Qz", nullptr, error_file);
+    if (exitcode != qh_ERRnone) {
+        std::string msg =
+            py::str("Error in qhull Delaunay triangulation calculation: {} (exitcode={})")
+            .format(qhull_error_msg[exitcode], exitcode).cast<std::string>();
+        if (hide_qhull_errors) {
+            msg += "; use python verbose option (-v) to see original qhull error.";
+        }
+        throw std::runtime_error(msg);
+    }
+
+    /* Split facets so that they only have 3 points each. */
+    qh_triangulate(qh);
+
+    /* Determine ntri and max_facet_id.
+       Note that libqhull uses macros to iterate through collections. */
+    ntri = 0;
+    FORALLfacets {
+        if (!facet->upperdelaunay) {
+            ++ntri;
+        }
+    }
+
+    max_facet_id = qh->facet_id - 1;
+
+    /* Create array to map facet id to triangle index. */
+    std::vector<int> tri_indices(max_facet_id+1);
+
+    /* Allocate Python arrays to return. */
+    int dims[2] = {ntri, 3};
+    IndexArray triangles(dims);
+    int* triangles_ptr = triangles.mutable_data();
+
+    IndexArray neighbors(dims);
+    int* neighbors_ptr = neighbors.mutable_data();
+
+    /* Determine triangles array and set tri_indices array. */
+    i = 0;
+    FORALLfacets {
+        if (!facet->upperdelaunay) {
+            int indices[3];
+            tri_indices[facet->id] = i++;
+            get_facet_vertices(qh, facet, indices);
+            *triangles_ptr++ = (facet->toporient ? indices[0] : indices[2]);
+            *triangles_ptr++ = indices[1];
+            *triangles_ptr++ = (facet->toporient ? indices[2] : indices[0]);
+        }
+        else {
+            tri_indices[facet->id] = -1;
+        }
+    }
+
+    /* Determine neighbors array. */
+    FORALLfacets {
+        if (!facet->upperdelaunay) {
+            int indices[3];
+            get_facet_neighbours(facet, tri_indices, indices);
+            *neighbors_ptr++ = (facet->toporient ? indices[2] : indices[0]);
+            *neighbors_ptr++ = (facet->toporient ? indices[0] : indices[2]);
+            *neighbors_ptr++ = indices[1];
+        }
+    }
+
+    return py::make_tuple(triangles, neighbors);
+}
+
+/* Process Python arguments and call Delaunay implementation method. */
+static py::tuple
+delaunay(const CoordArray& x, const CoordArray& y, int verbose)
+{
+    if (x.ndim() != 1 || y.ndim() != 1) {
+        throw std::invalid_argument("x and y must be 1D arrays");
+    }
+
+    auto npoints = x.shape(0);
+    if (npoints != y.shape(0)) {
+        throw std::invalid_argument("x and y must be 1D arrays of the same length");
+    }
+
+    if (npoints < 3) {
+        throw std::invalid_argument("x and y arrays must have a length of at least 3");
+    }
+
+    if (!at_least_3_unique_points(npoints, x.data(), y.data())) {
+        throw std::invalid_argument("x and y arrays must consist of at least 3 unique points");
+    }
+
+    return delaunay_impl(npoints, x.data(), y.data(), verbose == 0);
+}
+
+PYBIND11_MODULE(_qhull, m, py::mod_gil_not_used())
+{
+    m.doc() = "Computing Delaunay triangulations.\n";
+
+    m.def("delaunay", &delaunay, "x"_a, "y"_a, "verbose"_a,
+        "--\n\n"
+        "Compute a Delaunay triangulation.\n"
+        "\n"
+        "Parameters\n"
+        "----------\n"
+        "x, y : 1d arrays\n"
+        "    The coordinates of the point set, which must consist of at least\n"
+        "    three unique points.\n"
+        "verbose : int\n"
+        "    Python's verbosity level.\n"
+        "\n"
+        "Returns\n"
+        "-------\n"
+        "triangles, neighbors : int arrays, shape (ntri, 3)\n"
+        "    Indices of triangle vertices and indices of triangle neighbors.\n");
+
+    m.def("version", []() { return qh_version; },
+        "version()\n--\n\n"
+        "Return the qhull version string.");
+}
diff --git a/src/_tkagg.cpp b/src/_tkagg.cpp
index a193410a4514..955ce2103f90 100644
--- a/src/_tkagg.cpp
+++ b/src/_tkagg.cpp
@@ -1,256 +1,373 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-/*
- * The Python Imaging Library.
- * $Id$
- *
- */
-
-/* This is needed for (at least) Tk 8.4.1, otherwise the signature of
-** Tk_PhotoPutBlock changes.
-*/
-#define USE_COMPOSITELESS_PHOTO_PUT_BLOCK
+// Where is PIL?
+//
+// Many years ago, Matplotlib used to include code from PIL (the Python Imaging
+// Library).  Since then, the code has changed a lot - the organizing principle
+// and methods of operation are now quite different.  Because our review of
+// the codebase showed that all the code that came from PIL was removed or
+// rewritten, we have removed the PIL licensing information.  If you want PIL,
+// you can get it at https://python-pillow.github.io
 
 #include <Python.h>
-#include <cstdlib>
-#include <cstdio>
-#include <sstream>
+#include <new>
+#include <stdexcept>
+#include <string>
+#include <tuple>
+
+#ifdef _WIN32
+#define WIN32_LEAN_AND_MEAN
+// Windows 8.1
+#define WINVER 0x0603
+#if defined(_WIN32_WINNT)
+#if _WIN32_WINNT < WINVER
+#undef _WIN32_WINNT
+#define _WIN32_WINNT WINVER
+#endif
+#else
+#define _WIN32_WINNT WINVER
+#endif
+#endif
 
-#include "py_converters.h"
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+namespace py = pybind11;
+using namespace pybind11::literals;
 
-extern "C"
-{
-#ifdef __APPLE__
-#  ifdef TK_FRAMEWORK
-#     include <Tcl/tcl.h>
-#     include <Tk/tk.h>
-#  else
-#     include <tk.h>
-#  endif
-#else
-#  include <tk.h>
+#ifdef _WIN32
+#define WIN32_DLL
 #endif
+#ifdef __CYGWIN__
+/*
+ * Unfortunately cygwin's libdl inherits restrictions from the underlying
+ * Windows OS, at least currently. Therefore, a symbol may be loaded from a
+ * module by dlsym() only if it is really located in the given module,
+ * dependencies are not included. So we have to use native WinAPI on Cygwin
+ * also.
+ */
+#define WIN32_DLL
+static inline PyObject *PyErr_SetFromWindowsErr(int ierr) {
+    PyErr_SetString(PyExc_OSError, "Call to EnumProcessModules failed");
+    return NULL;
 }
+#endif
 
-#if defined(_MSC_VER)
-#  define SIZE_T_FORMAT "%Iu"
+#ifdef WIN32_DLL
+#include <vector>
+
+#include <windows.h>
+#include <commctrl.h>
+#define PSAPI_VERSION 1
+#include <psapi.h>  // Must be linked with 'psapi' library
+#define dlsym GetProcAddress
+#define UNUSED_ON_NON_WINDOWS(x) x
+// Check for old headers that do not defined HiDPI functions and constants.
+#if defined(__MINGW64_VERSION_MAJOR)
+static_assert(__MINGW64_VERSION_MAJOR >= 6,
+              "mingw-w64-x86_64-headers >= 6 are required when compiling with MinGW");
+#endif
 #else
-#  define SIZE_T_FORMAT "%zu"
+#include <dlfcn.h>
+#define UNUSED_ON_NON_WINDOWS Py_UNUSED
 #endif
 
-typedef struct
+// Include our own excerpts from the Tcl / Tk headers
+#include "_tkmini.h"
+
+template <class T>
+static T
+convert_voidptr(const py::object &obj)
 {
-    PyObject_HEAD;
-    Tcl_Interp *interp;
-} TkappObject;
+    auto result = static_cast<T>(PyLong_AsVoidPtr(obj.ptr()));
+    if (PyErr_Occurred()) {
+        throw py::error_already_set();
+    }
+    return result;
+}
 
-static int PyAggImagePhoto(ClientData clientdata, Tcl_Interp *interp, int argc, char **argv)
+// Global vars for Tk functions.  We load these symbols from the tkinter
+// extension module or loaded Tk libraries at run-time.
+static Tk_FindPhoto_t TK_FIND_PHOTO;
+static Tk_PhotoPutBlock_t TK_PHOTO_PUT_BLOCK;
+// Global vars for Tcl functions.  We load these symbols from the tkinter
+// extension module or loaded Tcl libraries at run-time.
+static Tcl_SetVar_t TCL_SETVAR;
+static Tcl_SetVar2_t TCL_SETVAR2;
+
+static void
+mpl_tk_blit(py::object interp_obj, const char *photo_name,
+            py::array_t<unsigned char> data, int comp_rule,
+            std::tuple<int, int, int, int> offset, std::tuple<int, int, int, int> bbox)
 {
+    auto interp = convert_voidptr<Tcl_Interp *>(interp_obj);
+
     Tk_PhotoHandle photo;
-    Tk_PhotoImageBlock block;
-    PyObject *bufferobj;
-
-    // vars for blitting
-    PyObject *bboxo;
-
-    size_t aggl, bboxl;
-    bool has_bbox;
-    uint8_t *destbuffer;
-    int destx, desty, destwidth, destheight, deststride;
-    //unsigned long tmp_ptr;
-
-    long mode;
-    long nval;
-    if (Tk_MainWindow(interp) == NULL) {
-        // Will throw a _tkinter.TclError with "this isn't a Tk application"
-        return TCL_ERROR;
+    if (!(photo = TK_FIND_PHOTO(interp, photo_name))) {
+        throw py::value_error("Failed to extract Tk_PhotoHandle");
     }
 
-    if (argc != 5) {
-        Tcl_AppendResult(interp, "usage: ", argv[0], " destPhoto srcImage", (char *)NULL);
-        return TCL_ERROR;
+    auto data_ptr = data.mutable_unchecked<3>();  // Checks ndim and writeable flag.
+    if (data.shape(2) != 4) {
+        throw py::value_error(
+            "Data pointer must be RGBA; last dimension is {}, not 4"_s.format(
+                data.shape(2)));
     }
-
-    /* get Tcl PhotoImage handle */
-    photo = Tk_FindPhoto(interp, argv[1]);
-    if (photo == NULL) {
-        Tcl_AppendResult(interp, "destination photo must exist", (char *)NULL);
-        return TCL_ERROR;
+    if (data.shape(0) > INT_MAX) {  // Limited by Tk_PhotoPutBlock argument type.
+        throw std::range_error(
+            "Height ({}) exceeds maximum allowable size ({})"_s.format(
+                data.shape(0), INT_MAX));
     }
-    /* get array (or object that can be converted to array) pointer */
-    if (sscanf(argv[2], SIZE_T_FORMAT, &aggl) != 1) {
-        Tcl_AppendResult(interp, "error casting pointer", (char *)NULL);
-        return TCL_ERROR;
+    if (data.shape(1) > INT_MAX / 4) {  // Limited by Tk_PhotoImageBlock.pitch field.
+        throw std::range_error(
+            "Width ({}) exceeds maximum allowable size ({})"_s.format(
+                data.shape(1), INT_MAX / 4));
     }
-    bufferobj = (PyObject *)aggl;
-
-    numpy::array_view<uint8_t, 3> buffer;
-    try {
-        buffer = numpy::array_view<uint8_t, 3>(bufferobj);
-    } catch (...) {
-        Tcl_AppendResult(interp, "buffer is of wrong type", (char *)NULL);
-        PyErr_Clear();
-        return TCL_ERROR;
+    const auto height = static_cast<int>(data.shape(0));
+    const auto width = static_cast<int>(data.shape(1));
+    int x1, x2, y1, y2;
+    std::tie(x1, x2, y1, y2) = bbox;
+    if (0 > y1 || y1 > y2 || y2 > height || 0 > x1 || x1 > x2 || x2 > width) {
+        throw py::value_error("Attempting to draw out of bounds");
     }
-    int srcheight = buffer.dim(0);
-
-    /* XXX insert aggRenderer type check */
-
-    /* get array mode (0=mono, 1=rgb, 2=rgba) */
-    mode = atol(argv[3]);
-    if ((mode != 0) && (mode != 1) && (mode != 2)) {
-        Tcl_AppendResult(interp, "illegal image mode", (char *)NULL);
-        return TCL_ERROR;
+    if (comp_rule != TK_PHOTO_COMPOSITE_OVERLAY && comp_rule != TK_PHOTO_COMPOSITE_SET) {
+        throw py::value_error("Invalid comp_rule argument");
     }
 
-    /* check for bbox/blitting */
-    if (sscanf(argv[4], SIZE_T_FORMAT, &bboxl) != 1) {
-        Tcl_AppendResult(interp, "error casting pointer", (char *)NULL);
-        return TCL_ERROR;
+    int put_retval;
+    Tk_PhotoImageBlock block;
+    block.pixelPtr = data_ptr.mutable_data(height - y2, x1, 0);
+    block.width = x2 - x1;
+    block.height = y2 - y1;
+    block.pitch = 4 * width;
+    block.pixelSize = 4;
+    std::tie(block.offset[0], block.offset[1], block.offset[2], block.offset[3]) = offset;
+    {
+        py::gil_scoped_release release;
+        put_retval = TK_PHOTO_PUT_BLOCK(
+            interp, photo, &block, x1, height - y2, x2 - x1, y2 - y1, comp_rule);
+    }
+    if (put_retval == TCL_ERROR) {
+        throw std::bad_alloc();
     }
-    bboxo = (PyObject *)bboxl;
+}
 
-    if (bboxo != NULL && bboxo != Py_None) {
-        agg::rect_d rect;
-        if (!convert_rect(bboxo, &rect)) {
-            return TCL_ERROR;
+#ifdef WIN32_DLL
+LRESULT CALLBACK
+DpiSubclassProc(HWND hwnd, UINT uMsg, WPARAM wParam, LPARAM lParam,
+                UINT_PTR uIdSubclass, DWORD_PTR dwRefData)
+{
+    switch (uMsg) {
+    case WM_DPICHANGED:
+        // This function is a subclassed window procedure, and so is run during
+        // the Tcl/Tk event loop. Unfortunately, Tkinter has a *second* lock on
+        // Tcl threading that is not exposed publicly, but is currently taken
+        // while we're in the window procedure. So while we can take the GIL to
+        // call Python code, we must not also call *any* Tk code from Python.
+        // So stay with Tcl calls in C only.
+        {
+            // This variable naming must match the name used in
+            // lib/matplotlib/backends/_backend_tk.py:FigureManagerTk.
+            std::string var_name("window_dpi");
+            var_name += std::to_string((unsigned long long)hwnd);
+
+            // X is high word, Y is low word, but they are always equal.
+            std::string dpi = std::to_string(LOWORD(wParam));
+
+            Tcl_Interp* interp = (Tcl_Interp*)dwRefData;
+            if (TCL_SETVAR) {
+                TCL_SETVAR(interp, var_name.c_str(), dpi.c_str(), 0);
+            } else if (TCL_SETVAR2) {
+                TCL_SETVAR2(interp, var_name.c_str(), NULL, dpi.c_str(), 0);
+            } else {
+                // This should be prevented at import time, and therefore unreachable.
+                // But defensively throw just in case.
+                throw std::runtime_error("Unable to call Tcl_SetVar or Tcl_SetVar2");
+            }
         }
+        return 0;
+    case WM_NCDESTROY:
+        RemoveWindowSubclass(hwnd, DpiSubclassProc, uIdSubclass);
+        break;
+    }
 
-        has_bbox = true;
-
-        destx = (int)rect.x1;
-        desty = srcheight - (int)rect.y2;
-        destwidth = (int)(rect.x2 - rect.x1);
-        destheight = (int)(rect.y2 - rect.y1);
-        deststride = 4 * destwidth;
-
-        destbuffer = new agg::int8u[deststride * destheight];
-        if (destbuffer == NULL) {
-            Tcl_AppendResult(interp, "could not allocate memory", (char *)NULL);
-            return TCL_ERROR;
-        }
+    return DefSubclassProc(hwnd, uMsg, wParam, lParam);
+}
+#endif
 
-        for (int i = 0; i < destheight; ++i) {
-            memcpy(destbuffer + (deststride * i),
-                   &buffer(i + desty, destx, 0),
-                   deststride);
-        }
-    } else {
-        has_bbox = false;
-        destbuffer = NULL;
-        destx = desty = destwidth = destheight = deststride = 0;
+static py::object
+mpl_tk_enable_dpi_awareness(py::object UNUSED_ON_NON_WINDOWS(frame_handle_obj),
+                            py::object UNUSED_ON_NON_WINDOWS(interp_obj))
+{
+#ifdef WIN32_DLL
+    auto frame_handle = convert_voidptr<HWND>(frame_handle_obj);
+    auto interp = convert_voidptr<Tcl_Interp *>(interp_obj);
+
+#ifdef _DPI_AWARENESS_CONTEXTS_
+    HMODULE user32 = LoadLibrary("user32.dll");
+
+    typedef DPI_AWARENESS_CONTEXT (WINAPI *GetWindowDpiAwarenessContext_t)(HWND);
+    GetWindowDpiAwarenessContext_t GetWindowDpiAwarenessContextPtr =
+        (GetWindowDpiAwarenessContext_t)GetProcAddress(
+            user32, "GetWindowDpiAwarenessContext");
+    if (GetWindowDpiAwarenessContextPtr == NULL) {
+        FreeLibrary(user32);
+        return py::cast(false);
     }
 
-    /* setup tkblock */
-    block.pixelSize = 1;
-    if (mode == 0) {
-        block.offset[0] = block.offset[1] = block.offset[2] = 0;
-        nval = 1;
-    } else {
-        block.offset[0] = 0;
-        block.offset[1] = 1;
-        block.offset[2] = 2;
-        if (mode == 1) {
-            block.offset[3] = 0;
-            block.pixelSize = 3;
-            nval = 3;
-        } else {
-            block.offset[3] = 3;
-            block.pixelSize = 4;
-            nval = 4;
-        }
+    typedef BOOL (WINAPI *AreDpiAwarenessContextsEqual_t)(DPI_AWARENESS_CONTEXT,
+                                                          DPI_AWARENESS_CONTEXT);
+    AreDpiAwarenessContextsEqual_t AreDpiAwarenessContextsEqualPtr =
+        (AreDpiAwarenessContextsEqual_t)GetProcAddress(
+            user32, "AreDpiAwarenessContextsEqual");
+    if (AreDpiAwarenessContextsEqualPtr == NULL) {
+        FreeLibrary(user32);
+        return py::cast(false);
     }
 
-    if (has_bbox) {
-        block.width = destwidth;
-        block.height = destheight;
-        block.pitch = deststride;
-        block.pixelPtr = destbuffer;
-
-        Tk_PhotoPutBlock(photo, &block, destx, desty, destwidth, destheight);
-        delete[] destbuffer;
-
-    } else {
-        block.width = buffer.dim(1);
-        block.height = buffer.dim(0);
-        block.pitch = (int)block.width * nval;
-        block.pixelPtr = buffer.data();
-
-        /* Clear current contents */
-        Tk_PhotoBlank(photo);
-        /* Copy opaque block to photo image, and leave the rest to TK */
-        Tk_PhotoPutBlock(photo, &block, 0, 0, block.width, block.height);
+    DPI_AWARENESS_CONTEXT ctx = GetWindowDpiAwarenessContextPtr(frame_handle);
+    bool per_monitor = (
+        AreDpiAwarenessContextsEqualPtr(
+            ctx, DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE_V2) ||
+        AreDpiAwarenessContextsEqualPtr(
+            ctx, DPI_AWARENESS_CONTEXT_PER_MONITOR_AWARE));
+
+    if (per_monitor) {
+        // Per monitor aware means we need to handle WM_DPICHANGED by wrapping
+        // the Window Procedure, and the Python side needs to trace the Tk
+        // window_dpi variable stored on interp.
+        SetWindowSubclass(frame_handle, DpiSubclassProc, 0, (DWORD_PTR)interp);
     }
+    FreeLibrary(user32);
+    return py::cast(per_monitor);
+#endif
+#endif
 
-    return TCL_OK;
+    return py::none();
 }
 
-static PyObject *_pyobj_addr(PyObject *self, PyObject *args)
-{
-    PyObject *pyobj;
-    if (!PyArg_ParseTuple(args, "O", &pyobj)) {
-        return NULL;
-    }
-    return Py_BuildValue("n", (Py_ssize_t)pyobj);
-}
+// Functions to fill global Tcl/Tk function pointers by dynamic loading.
 
-static PyObject *_tkinit(PyObject *self, PyObject *args)
+template <class T>
+bool load_tcl_tk(T lib)
 {
-    Tcl_Interp *interp;
-    TkappObject *app;
-
-    Py_ssize_t arg;
-    int is_interp;
-    if (!PyArg_ParseTuple(args, "ni", &arg, &is_interp)) {
-        return NULL;
+    // Try to fill Tcl/Tk global vars with function pointers.  Return whether
+    // all of them have been filled.
+    if (auto ptr = dlsym(lib, "Tcl_SetVar")) {
+        TCL_SETVAR = (Tcl_SetVar_t)ptr;
     }
-
-    if (is_interp) {
-        interp = (Tcl_Interp *)arg;
-    } else {
-        /* Do it the hard way.  This will break if the TkappObject
-           layout changes */
-        app = (TkappObject *)arg;
-        interp = app->interp;
+    if (auto ptr = dlsym(lib, "Tcl_SetVar2")) {
+        TCL_SETVAR2 = (Tcl_SetVar2_t)ptr;
+    }
+    if (auto ptr = dlsym(lib, "Tk_FindPhoto")) {
+        TK_FIND_PHOTO = (Tk_FindPhoto_t)ptr;
     }
+    if (auto ptr = dlsym(lib, "Tk_PhotoPutBlock")) {
+        TK_PHOTO_PUT_BLOCK = (Tk_PhotoPutBlock_t)ptr;
+    }
+    return (TCL_SETVAR || TCL_SETVAR2) && TK_FIND_PHOTO && TK_PHOTO_PUT_BLOCK;
+}
 
-    /* This will bomb if interp is invalid... */
+#ifdef WIN32_DLL
 
-    Tcl_CreateCommand(interp,
-                      "PyAggImagePhoto",
-                      (Tcl_CmdProc *)PyAggImagePhoto,
-                      (ClientData)0,
-                      (Tcl_CmdDeleteProc *)NULL);
+/* On Windows, we can't load the tkinter module to get the Tcl/Tk symbols,
+ * because Windows does not load symbols into the library name-space of
+ * importing modules. So, knowing that tkinter has already been imported by
+ * Python, we scan all modules in the running process for the Tcl/Tk function
+ * names.
+ */
 
-    Py_INCREF(Py_None);
-    return Py_None;
+static void
+load_tkinter_funcs()
+{
+    HANDLE process = GetCurrentProcess();  // Pseudo-handle, doesn't need closing.
+    DWORD size;
+    if (!EnumProcessModules(process, NULL, 0, &size)) {
+        PyErr_SetFromWindowsErr(0);
+        throw py::error_already_set();
+    }
+    auto count = size / sizeof(HMODULE);
+    auto modules = std::vector<HMODULE>(count);
+    if (!EnumProcessModules(process, modules.data(), size, &size)) {
+        PyErr_SetFromWindowsErr(0);
+        throw py::error_already_set();
+    }
+    for (auto mod: modules) {
+        if (load_tcl_tk(mod)) {
+            return;
+        }
+    }
 }
 
-static PyMethodDef functions[] = {
-    /* Tkinter interface stuff */
-    { "_pyobj_addr", (PyCFunction)_pyobj_addr, 1 }, { "tkinit", (PyCFunction)_tkinit, 1 },
-    { NULL, NULL } /* sentinel */
-};
+#else  // not Windows
 
-#if PY3K
-static PyModuleDef _tkagg_module = { PyModuleDef_HEAD_INIT, "_tkagg", "",   -1,  functions,
-                                     NULL,                  NULL,     NULL, NULL };
+/*
+ * On Unix, we can get the Tk symbols from the tkinter module, because tkinter
+ * uses these symbols, and the symbols are therefore visible in the tkinter
+ * dynamic library (module).
+ */
 
-PyMODINIT_FUNC PyInit__tkagg(void)
+static void
+load_tkinter_funcs()
 {
-    PyObject *m;
-
-    m = PyModule_Create(&_tkagg_module);
-
-    import_array();
+    // Load tkinter global funcs from tkinter compiled module.
+
+    // Try loading from the main program namespace first.
+    auto main_program = dlopen(nullptr, RTLD_LAZY);
+    auto success = load_tcl_tk(main_program);
+    // We don't need to keep a reference open as the main program always exists.
+    if (dlclose(main_program)) {
+        throw std::runtime_error(dlerror());
+    }
+    if (success) {
+        return;
+    }
 
-    return m;
+    py::object module;
+    // Handle PyPy first, as that import will correctly fail on CPython.
+    try {
+        module = py::module_::import("_tkinter.tklib_cffi");  // PyPy
+    } catch (py::error_already_set &e) {
+        module = py::module_::import("_tkinter");  // CPython
+    }
+    auto py_path = module.attr("__file__");
+    auto py_path_b = py::reinterpret_steal<py::bytes>(
+        PyUnicode_EncodeFSDefault(py_path.ptr()));
+    std::string path = py_path_b;
+    auto tkinter_lib = dlopen(path.c_str(), RTLD_LAZY);
+    if (!tkinter_lib) {
+        throw std::runtime_error(dlerror());
+    }
+    load_tcl_tk(tkinter_lib);
+    // We don't need to keep a reference open as tkinter has been imported.
+    if (dlclose(tkinter_lib)) {
+        throw std::runtime_error(dlerror());
+    }
 }
-#else
-PyMODINIT_FUNC init_tkagg(void)
+#endif // end not Windows
+
+PYBIND11_MODULE(_tkagg, m, py::mod_gil_not_used())
 {
-    import_array();
+    try {
+        load_tkinter_funcs();
+    } catch (py::error_already_set& e) {
+        // Always raise ImportError to interact properly with backend auto-fallback.
+        py::raise_from(e, PyExc_ImportError, "failed to load tkinter functions");
+        throw py::error_already_set();
+    }
 
-    Py_InitModule("_tkagg", functions);
+    if (!(TCL_SETVAR || TCL_SETVAR2)) {
+        throw py::import_error("Failed to load Tcl_SetVar or Tcl_SetVar2");
+    } else if (!TK_FIND_PHOTO) {
+        throw py::import_error("Failed to load Tk_FindPhoto");
+    } else if (!TK_PHOTO_PUT_BLOCK) {
+        throw py::import_error("Failed to load Tk_PhotoPutBlock");
+    }
+
+    m.def("blit", &mpl_tk_blit,
+          "interp"_a, "photo_name"_a, "data"_a, "comp_rule"_a, "offset"_a, "bbox"_a);
+    m.def("enable_dpi_awareness", &mpl_tk_enable_dpi_awareness,
+          "frame_handle"_a, "interp"_a);
+
+    m.attr("TK_PHOTO_COMPOSITE_OVERLAY") = TK_PHOTO_COMPOSITE_OVERLAY;
+    m.attr("TK_PHOTO_COMPOSITE_SET") = TK_PHOTO_COMPOSITE_SET;
 }
-#endif
diff --git a/src/_tkmini.h b/src/_tkmini.h
new file mode 100644
index 000000000000..1c74cf9720f8
--- /dev/null
+++ b/src/_tkmini.h
@@ -0,0 +1,113 @@
+/* Small excerpts from the Tcl / Tk 8.6 headers
+ *
+ * License terms copied from:
+ * http://www.tcl.tk/software/tcltk/license.html
+ * as of 20 May 2016.
+ *
+ * Copyright (c) 1987-1994 The Regents of the University of California.
+ * Copyright (c) 1993-1996 Lucent Technologies.
+ * Copyright (c) 1994-1998 Sun Microsystems, Inc.
+ * Copyright (c) 1998-2000 by Scriptics Corporation.
+ * Copyright (c) 2002 by Kevin B. Kenny.  All rights reserved.
+ *
+ * This software is copyrighted by the Regents of the University
+ * of California, Sun Microsystems, Inc., Scriptics Corporation,
+ * and other parties. The following terms apply to all files
+ * associated with the software unless explicitly disclaimed in
+ * individual files.
+ *
+ * The authors hereby grant permission to use, copy, modify,
+ * distribute, and license this software and its documentation
+ * for any purpose, provided that existing copyright notices are
+ * retained in all copies and that this notice is included
+ * verbatim in any distributions. No written agreement, license,
+ * or royalty fee is required for any of the authorized uses.
+ * Modifications to this software may be copyrighted by their
+ * authors and need not follow the licensing terms described
+ * here, provided that the new terms are clearly indicated on
+ * the first page of each file where they apply.
+ *
+ * IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO
+ * ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR
+ * CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS
+ * SOFTWARE, ITS DOCUMENTATION, OR ANY DERIVATIVES THEREOF, EVEN
+ * IF THE AUTHORS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH
+ * DAMAGE.
+ *
+ * THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY
+ * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ * WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
+ * PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE IS PROVIDED ON
+ * AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE NO
+ * OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES,
+ * ENHANCEMENTS, OR MODIFICATIONS.
+ *
+ * GOVERNMENT USE: If you are acquiring this software on behalf
+ * of the U.S. government, the Government shall have only
+ * "Restricted Rights" in the software and related documentation
+ * as defined in the Federal Acquisition Regulations (FARs) in
+ * Clause 52.227.19 (c) (2). If you are acquiring the software
+ * on behalf of the Department of Defense, the software shall be
+ * classified as "Commercial Computer Software" and the
+ * Government shall have only "Restricted Rights" as defined in
+ * Clause 252.227-7013 (c) (1) of DFARs. Notwithstanding the
+ * foregoing, the authors grant the U.S. Government and others
+ * acting in its behalf permission to use and distribute the
+ * software in accordance with the terms specified in this
+ * license
+ */
+
+/*
+ * Unless otherwise noted, these definitions are stable from Tcl / Tk 8.5
+ * through Tck / Tk master as of 21 May 2016
+ */
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/*
+ * Users of versions of Tcl >= 8.6 encouraged to treat Tcl_Interp as an opaque
+ * pointer.  The following definition results when TCL_NO_DEPRECATED defined.
+ */
+typedef struct Tcl_Interp Tcl_Interp;
+
+/* Tk header excerpts */
+
+typedef void *Tk_PhotoHandle;
+
+typedef struct Tk_PhotoImageBlock
+{
+    unsigned char *pixelPtr;
+    int width;
+    int height;
+    int pitch;
+    int pixelSize;
+    int offset[4];
+} Tk_PhotoImageBlock;
+
+#define TK_PHOTO_COMPOSITE_OVERLAY  0  // apply transparency rules pixel-wise
+#define TK_PHOTO_COMPOSITE_SET      1  // set image buffer directly
+#define TCL_OK     0
+#define TCL_ERROR  1
+
+/* Typedefs derived from function signatures in Tk header */
+/* Tk_FindPhoto typedef */
+typedef Tk_PhotoHandle (*Tk_FindPhoto_t) (Tcl_Interp *interp, const char
+        *imageName);
+/* Tk_PhotoPutBLock typedef */
+typedef int (*Tk_PhotoPutBlock_t) (Tcl_Interp *interp, Tk_PhotoHandle handle,
+        Tk_PhotoImageBlock *blockPtr, int x, int y,
+        int width, int height, int compRule);
+
+/* Typedefs derived from function signatures in Tcl header */
+/* Tcl_SetVar typedef */
+typedef const char *(*Tcl_SetVar_t)(Tcl_Interp *interp, const char *varName,
+                                    const char *newValue, int flags);
+/* Tcl_SetVar2 typedef */
+typedef const char *(*Tcl_SetVar2_t)(Tcl_Interp *interp, const char *part1, const char *part2,
+                                     const char *newValue, int flags);
+
+#ifdef __cplusplus
+}
+#endif
diff --git a/src/_ttconv.cpp b/src/_ttconv.cpp
deleted file mode 100644
index e0aa4611d28d..000000000000
--- a/src/_ttconv.cpp
+++ /dev/null
@@ -1,307 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-/*
-  _ttconv.c
-
-  Python wrapper for TrueType conversion library in ../ttconv.
- */
-
-#include "mplutils.h"
-
-#include <Python.h>
-#include "ttconv/pprdrv.h"
-#include "py_exceptions.h"
-#include <vector>
-#include <cassert>
-
-/**
- * An implementation of TTStreamWriter that writes to a Python
- * file-like object.
- */
-class PythonFileWriter : public TTStreamWriter
-{
-    PyObject *_write_method;
-
-  public:
-    PythonFileWriter()
-    {
-        _write_method = NULL;
-    }
-
-    ~PythonFileWriter()
-    {
-        Py_XDECREF(_write_method);
-    }
-
-    void set(PyObject *write_method)
-    {
-        Py_XDECREF(_write_method);
-        _write_method = write_method;
-        Py_XINCREF(_write_method);
-    }
-
-    virtual void write(const char *a)
-    {
-        PyObject *result = NULL;
-        if (_write_method) {
-            PyObject *decoded = NULL;
-            decoded = PyUnicode_DecodeLatin1(a, strlen(a), "");
-            if (decoded == NULL) {
-                throw py::exception();
-            }
-            result = PyObject_CallFunction(_write_method, (char *)"O", decoded);
-            Py_DECREF(decoded);
-            if (!result) {
-                throw py::exception();
-            }
-            Py_DECREF(result);
-        }
-    }
-};
-
-int fileobject_to_PythonFileWriter(PyObject *object, void *address)
-{
-    PythonFileWriter *file_writer = (PythonFileWriter *)address;
-
-    PyObject *write_method = PyObject_GetAttrString(object, "write");
-    if (write_method == NULL || !PyCallable_Check(write_method)) {
-        PyErr_SetString(PyExc_TypeError, "Expected a file-like object with a write method.");
-        return 0;
-    }
-
-    file_writer->set(write_method);
-    Py_DECREF(write_method);
-
-    return 1;
-}
-
-int pyiterable_to_vector_int(PyObject *object, void *address)
-{
-    std::vector<int> *result = (std::vector<int> *)address;
-
-    PyObject *iterator = PyObject_GetIter(object);
-    if (!iterator) {
-        return 0;
-    }
-
-    PyObject *item;
-    while ((item = PyIter_Next(iterator))) {
-#if PY3K
-        long value = PyLong_AsLong(item);
-#else
-        long value = PyInt_AsLong(item);
-#endif
-        Py_DECREF(item);
-        if (value == -1 && PyErr_Occurred()) {
-            return 0;
-        }
-        result->push_back((int)value);
-    }
-
-    Py_DECREF(iterator);
-
-    return 1;
-}
-
-static PyObject *convert_ttf_to_ps(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    const char *filename;
-    PythonFileWriter output;
-    int fonttype;
-    std::vector<int> glyph_ids;
-
-    static const char *kwlist[] = { "filename", "output", "fonttype", "glyph_ids", NULL };
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-#if PY_MAJOR_VERSION == 3
-                                     "yO&i|O&:convert_ttf_to_ps",
-#else
-                                     "sO&i|O&:convert_ttf_to_ps",
-#endif
-                                     (char **)kwlist,
-                                     &filename,
-                                     fileobject_to_PythonFileWriter,
-                                     &output,
-                                     &fonttype,
-                                     pyiterable_to_vector_int,
-                                     &glyph_ids)) {
-        return NULL;
-    }
-
-    if (fonttype != 3 && fonttype != 42) {
-        PyErr_SetString(PyExc_ValueError,
-                        "fonttype must be either 3 (raw Postscript) or 42 "
-                        "(embedded Truetype)");
-        return NULL;
-    }
-
-    try
-    {
-        insert_ttfont(filename, output, (font_type_enum)fonttype, glyph_ids);
-    }
-    catch (TTException &e)
-    {
-        PyErr_SetString(PyExc_RuntimeError, e.getMessage());
-        return NULL;
-    }
-    catch (const py::exception &)
-    {
-        return NULL;
-    }
-    catch (...)
-    {
-        PyErr_SetString(PyExc_RuntimeError, "Unknown C++ exception");
-        return NULL;
-    }
-
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-class PythonDictionaryCallback : public TTDictionaryCallback
-{
-    PyObject *_dict;
-
-  public:
-    PythonDictionaryCallback(PyObject *dict)
-    {
-        _dict = dict;
-    }
-
-    virtual void add_pair(const char *a, const char *b)
-    {
-        assert(a != NULL);
-        assert(b != NULL);
-        PyObject *value = PyBytes_FromString(b);
-        if (!value) {
-            throw py::exception();
-        }
-        if (PyDict_SetItemString(_dict, a, value)) {
-            Py_DECREF(value);
-            throw py::exception();
-        }
-        Py_DECREF(value);
-    }
-};
-
-static PyObject *py_get_pdf_charprocs(PyObject *self, PyObject *args, PyObject *kwds)
-{
-    const char *filename;
-    std::vector<int> glyph_ids;
-    PyObject *result;
-
-    static const char *kwlist[] = { "filename", "glyph_ids", NULL };
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-#if PY_MAJOR_VERSION == 3
-                                     "y|O&:get_pdf_charprocs",
-#else
-                                     "s|O&:get_pdf_charprocs",
-#endif
-                                     (char **)kwlist,
-                                     &filename,
-                                     pyiterable_to_vector_int,
-                                     &glyph_ids)) {
-        return NULL;
-    }
-
-    result = PyDict_New();
-    if (!result) {
-        return NULL;
-    }
-
-    PythonDictionaryCallback dict(result);
-
-    try
-    {
-        ::get_pdf_charprocs(filename, glyph_ids, dict);
-    }
-    catch (TTException &e)
-    {
-        Py_DECREF(result);
-        PyErr_SetString(PyExc_RuntimeError, e.getMessage());
-        return NULL;
-    }
-    catch (const py::exception &)
-    {
-        Py_DECREF(result);
-        return NULL;
-    }
-    catch (...)
-    {
-        Py_DECREF(result);
-        PyErr_SetString(PyExc_RuntimeError, "Unknown C++ exception");
-        return NULL;
-    }
-
-    return result;
-}
-
-static PyMethodDef ttconv_methods[] =
-{
-    {
-        "convert_ttf_to_ps", (PyCFunction)convert_ttf_to_ps, METH_VARARGS | METH_KEYWORDS,
-        "convert_ttf_to_ps(filename, output, fonttype, glyph_ids)\n"
-        "\n"
-        "Converts the Truetype font into a Type 3 or Type 42 Postscript font, "
-        "optionally subsetting the font to only the desired set of characters.\n"
-        "\n"
-        "filename is the path to a TTF font file.\n"
-        "output is a Python file-like object with a write method that the Postscript "
-        "font data will be written to.\n"
-        "fonttype may be either 3 or 42.  Type 3 is a \"raw Postscript\" font. "
-        "Type 42 is an embedded Truetype font.  Glyph subsetting is not supported "
-        "for Type 42 fonts.\n"
-        "glyph_ids (optional) is a list of glyph ids (integers) to keep when "
-        "subsetting to a Type 3 font.  If glyph_ids is not provided or is None, "
-        "then all glyphs will be included.  If any of the glyphs specified are "
-        "composite glyphs, then the component glyphs will also be included."
-    },
-    {
-        "get_pdf_charprocs", (PyCFunction)py_get_pdf_charprocs, METH_VARARGS | METH_KEYWORDS,
-        "get_pdf_charprocs(filename, glyph_ids)\n"
-        "\n"
-        "Given a Truetype font file, returns a dictionary containing the PDF Type 3\n"
-        "representation of its paths.  Useful for subsetting a Truetype font inside\n"
-        "of a PDF file.\n"
-        "\n"
-        "filename is the path to a TTF font file.\n"
-        "glyph_ids is a list of the numeric glyph ids to include.\n"
-        "The return value is a dictionary where the keys are glyph names and\n"
-        "the values are the stream content needed to render that glyph.  This\n"
-        "is useful to generate the CharProcs dictionary in a PDF Type 3 font.\n"
-    },
-    {0, 0, 0, 0}  /* Sentinel */
-};
-
-static const char *module_docstring =
-    "Module to handle converting and subsetting TrueType "
-    "fonts to Postscript Type 3, Postscript Type 42 and "
-    "Pdf Type 3 fonts.";
-
-#if PY3K
-static PyModuleDef ttconv_module = {
-    PyModuleDef_HEAD_INIT,
-    "ttconv",
-    module_docstring,
-    -1,
-    ttconv_methods,
-    NULL, NULL, NULL, NULL
-};
-
-PyMODINIT_FUNC
-PyInit_ttconv(void)
-{
-    PyObject* m;
-
-    m = PyModule_Create(&ttconv_module);
-
-    return m;
-}
-#else
-PyMODINIT_FUNC
-initttconv(void)
-{
-    Py_InitModule3("ttconv", ttconv_methods, module_docstring);
-}
-#endif
diff --git a/src/_windowing.cpp b/src/_windowing.cpp
deleted file mode 100644
index 7a20baa0a39a..000000000000
--- a/src/_windowing.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-#include "Python.h"
-#include <windows.h>
-
-static PyObject *
-_GetForegroundWindow(PyObject *module, PyObject *args)
-{
-    HWND handle = GetForegroundWindow();
-    if (!PyArg_ParseTuple(args, ":GetForegroundWindow"))
-    {
-        return NULL;
-    }
-    return PyLong_FromSize_t((size_t)handle);
-}
-
-static PyObject *
-_SetForegroundWindow(PyObject *module, PyObject *args)
-{
-    HWND handle;
-    if (!PyArg_ParseTuple(args, "n:SetForegroundWindow", &handle))
-    {
-        return NULL;
-    }
-    if (!SetForegroundWindow(handle))
-    {
-        return PyErr_Format(PyExc_RuntimeError,
-                            "Error setting window");
-    }
-    Py_INCREF(Py_None);
-    return Py_None;
-}
-
-static PyMethodDef _windowing_methods[] =
-{
-    {"GetForegroundWindow", _GetForegroundWindow, METH_VARARGS},
-    {"SetForegroundWindow", _SetForegroundWindow, METH_VARARGS},
-    {NULL, NULL}
-};
-
-#if PY_MAJOR_VERSION >= 3
-
-static struct PyModuleDef moduledef = {
-        PyModuleDef_HEAD_INIT,
-        "_windowing",
-        "",
-        -1,
-        _windowing_methods,
-        NULL,
-        NULL,
-        NULL,
-        NULL
-};
-
-PyMODINIT_FUNC PyInit__windowing(void)
-{
-    PyObject *module = PyModule_Create(&moduledef);
-    return module;
-}
-
-#else
-PyMODINIT_FUNC init_windowing()
-{
-    Py_InitModule("_windowing", _windowing_methods);
-}
-#endif
diff --git a/src/agg_workaround.h b/src/agg_workaround.h
index bfadf39284d4..a167be97e171 100644
--- a/src/agg_workaround.h
+++ b/src/agg_workaround.h
@@ -1,5 +1,5 @@
-#ifndef __AGG_WORKAROUND_H__
-#define __AGG_WORKAROUND_H__
+#ifndef MPL_AGG_WORKAROUND_H
+#define MPL_AGG_WORKAROUND_H
 
 #include "agg_pixfmt_rgba.h"
 
@@ -8,46 +8,6 @@
  blending of RGBA32 pixels does not preserve enough precision
 */
 
-template<class ColorT, class Order>
-struct fixed_blender_rgba_pre : agg::conv_rgba_pre<ColorT, Order>
-{
-    typedef ColorT color_type;
-    typedef Order order_type;
-    typedef typename color_type::value_type value_type;
-    typedef typename color_type::calc_type calc_type;
-    typedef typename color_type::long_type long_type;
-    enum base_scale_e
-    {
-        base_shift = color_type::base_shift,
-        base_mask  = color_type::base_mask
-    };
-
-    //--------------------------------------------------------------------
-    static AGG_INLINE void blend_pix(value_type* p,
-                                     value_type cr, value_type cg, value_type cb,
-                                     value_type alpha, agg::cover_type cover)
-    {
-        blend_pix(p,
-                  color_type::mult_cover(cr, cover),
-                  color_type::mult_cover(cg, cover),
-                  color_type::mult_cover(cb, cover),
-                  color_type::mult_cover(alpha, cover));
-    }
-
-    //--------------------------------------------------------------------
-    static AGG_INLINE void blend_pix(value_type* p,
-                                     value_type cr, value_type cg, value_type cb,
-                                     value_type alpha)
-    {
-        alpha = base_mask - alpha;
-        p[Order::R] = (value_type)(((p[Order::R] * alpha) >> base_shift) + cr);
-        p[Order::G] = (value_type)(((p[Order::G] * alpha) >> base_shift) + cg);
-        p[Order::B] = (value_type)(((p[Order::B] * alpha) >> base_shift) + cb);
-        p[Order::A] = (value_type)(base_mask - ((alpha * (base_mask - p[Order::A])) >> base_shift));
-    }
-};
-
-
 template<class ColorT, class Order>
 struct fixed_blender_rgba_plain : agg::conv_rgba_plain<ColorT, Order>
 {
diff --git a/src/array.h b/src/array.h
index 349b900066ab..0e8db3c4cac7 100644
--- a/src/array.h
+++ b/src/array.h
@@ -3,8 +3,11 @@
 /* Utilities to create scalars and empty arrays that behave like the
    Numpy array wrappers in numpy_cpp.h */
 
-#ifndef _SCALAR_H_
-#define _SCALAR_H_
+#ifndef MPL_SCALAR_H
+#define MPL_SCALAR_H
+
+#include <cstddef>
+#include <stdexcept>
 
 namespace array
 {
@@ -29,7 +32,7 @@ class scalar
         return m_value;
     }
 
-    int dim(size_t i)
+    int shape(size_t i)
     {
         return 1;
     }
@@ -40,24 +43,29 @@ class scalar
     }
 };
 
+template <typename T, int ND>
+size_t
+safe_first_shape(scalar<T, ND>)
+{
+    return 1;
+}
+
 template <typename T>
 class empty
 {
   public:
     typedef empty<T> sub_t;
 
-    empty()
-    {
-    }
+    empty() = default;
 
     T &operator()(int i, int j = 0, int k = 0)
     {
-        throw "Accessed empty array";
+        throw std::runtime_error("Accessed empty array");
     }
 
     const T &operator()(int i, int j = 0, int k = 0) const
     {
-        throw "Accessed empty array";
+        throw std::runtime_error("Accessed empty array");
     }
 
     sub_t operator[](int i) const
@@ -65,7 +73,7 @@ class empty
         return empty<T>();
     }
 
-    int dim(size_t i) const
+    int shape(size_t i) const
     {
         return 0;
     }
@@ -75,6 +83,12 @@ class empty
         return 0;
     }
 };
+
+template <typename T>
+size_t safe_first_shape(empty<T>)
+{
+    return 0;
+}
 }
 
 #endif
diff --git a/src/checkdep_freetype2.c b/src/checkdep_freetype2.c
new file mode 100644
index 000000000000..16e8ac23919e
--- /dev/null
+++ b/src/checkdep_freetype2.c
@@ -0,0 +1,19 @@
+#ifdef __has_include
+  #if !__has_include(<ft2build.h>)
+    #error "FreeType version 2.3 or higher is required. \
+You may set the system-freetype Meson build option to false to let Matplotlib download it."
+  #endif
+#endif
+
+#include <ft2build.h>
+#include FT_FREETYPE_H
+
+#define XSTR(x) STR(x)
+#define STR(x) #x
+
+#pragma message("Compiling with FreeType version " \
+  XSTR(FREETYPE_MAJOR) "." XSTR(FREETYPE_MINOR) "." XSTR(FREETYPE_PATCH) ".")
+#if FREETYPE_MAJOR << 16 + FREETYPE_MINOR << 8 + FREETYPE_PATCH < 0x020300
+  #error "FreeType version 2.3 or higher is required. \
+You may set the system-freetype Meson build option to false to let Matplotlib download it."
+#endif
diff --git a/src/cntr.c b/src/cntr.c
deleted file mode 100644
index c61cd7fc026f..000000000000
--- a/src/cntr.c
+++ /dev/null
@@ -1,2034 +0,0 @@
-/* -*- mode: c; c-basic-offset: 4 -*- */
-
-/*
-  cntr.c
-  General purpose contour tracer for quadrilateral meshes.
-  Handles single level contours, or region between a pair of levels.
-
-    The routines that do all the work, as well as the explanatory
-    comments, came from gcntr.c, part of the GIST package. The
-    original mpl interface was also based on GIST.  The present
-    interface uses parts of the original, but places them in
-    the entirely different framework of a Python type.  It
-    was written by following the Python "Extending and Embedding"
-    tutorial.
-
-  $Id$
- */
-
-#include <Python.h>
-#include "structmember.h"
-#include <stdlib.h>
-#include <stdio.h>
-#include "numpy/arrayobject.h"
-
-#if PY_MAJOR_VERSION >= 3
-#define PY3K 1
-#else
-#define PY3K 0
-#endif
-
-/* Note that all arrays in these routines are Fortran-style,
-   in the sense that the "i" index varies fastest; the dimensions
-   of the corresponding C array are z[jmax][imax] in the notation
-   used here.  We can identify i and j with the x and y dimensions,
-   respectively.
-
-*/
-
-/* What is a contour?
- *
- * Given a quadrilateral mesh (x,y), and values of a z at the points
- * of that mesh, we seek a set of polylines connecting points at a
- * particular value of z.  Each point on such a contour curve lies
- * on an edge of the mesh, at a point linearly interpolated to the
- * contour level z0 between the given values of z at the endpoints
- * of the edge.
- *
- * Identifying these points is easy.  Figuring out how to connect them
- * into a curve -- or possibly a set of disjoint curves -- is difficult.
- * Each disjoint curve may be either a closed circuit, or it may begin
- * and end on a mesh boundary.
- *
- * One of the problems with a quadrilateral mesh is that when the z
- * values at one pair of diagonally opposite points lie below z0, and
- * the values at the other diagonal pair of the same zone lie above z0,
- * all four edges of the zone are cut, and there is an ambiguity in
- * how we should connect the points.  I call this a saddle zone.
- * The problem is that two disjoint curves cut through a saddle zone
- * (I reject the alternative of connecting the opposite points to make
- * a single self-intersecting curve, since those make ugly contour plots
- * -- I've tried it).  The solution is to determine the z value of the
- * centre of the zone, which is the mean of the z values of the four
- * corner points.  If the centre z is higher than the contour level of
- * interest and you are moving along the line with higher values on the
- * left, turn right to leave the saddle zone.  If the centre z is lower
- * than the contour level turn left.  Whether the centre z is higher
- * than the 1 or 2 contour levels is stored in the saddle array so that
- * it does not need to be recalculated in subsequent passes.
- *
- * Another complicating factor is that there may be logical holes in
- * the mesh -- zones which do not exist.  We want our contours to stop
- * if they hit the edge of such a zone, just as if they'd hit the edge
- * of the whole mesh.  The input region array addresses this issue.
- *
- * Yet another complication: We may want a list of closed polygons which
- * outline the region between two contour levels z0 and z1.  These may
- * include sections of the mesh boundary (including edges of logical
- * holes defined by the region array), in addition to sections of the
- * contour curves at one or both levels.  This introduces a huge
- * topological problem -- if one of the closed contours (possibly
- * including an interior logical hole in the mesh, but not any part of
- * the boundary of the whole mesh) encloses a region which is not
- * between z0 and z1, that curve must be connected by a slit (or "branch
- * cut") to the enclosing curve, so that the list of disjoint polygons
- * we return is each simply connected.
- *
- * Okay, one final stunning difficulty: For the two level case, no
- * individual polygon should have more than a few thousand sides, since
- * huge filled polygons place an inordinate load on rendering software,
- * which needs an amount of scratch space proportional to the number
- * of sides it needs to fill.  So in the two level case, we want to
- * chunk the mesh into rectangular pieces of no more than, say, 30x30
- * zones, which keeps each returned polygon to less than a few thousand
- * sides (the worst case is very very bad -- you can easily write down
- * a function and two level values which produce a polygon that cuts
- * every edge of the mesh twice).
- */
-
-/*
- * Here is the numbering scheme for points, edges, and zones in
- * the mesh -- note that each ij corresponds to one point, one zone,
- * one i-edge (i=constant edge) and one j-edge (j=constant edge):
- *
- *             (ij-1)-------(ij)-------(ij)
- *                |                     |
- *                |                     |
- *                |                     |
- *             (ij-1)       (ij)       (ij)
- *                |                     |
- *                |                     |
- *                |                     |
- *           (ij-iX-1)----(ij-iX)----(ij-iX)
- *
- * At each point, the function value is either 0, 1, or 2, depending
- * on whether it is below z0, between z0 and z1, or above z1.
- * Each zone either exists (1) or not (0).
- * From these three bits of data, all of the curve connectivity follows.
- *
- * The tracing algorithm is naturally edge-based: Either you are at a
- * point where a level cuts an edge, ready to step across a zone to
- * another edge, or you are drawing the edge itself, if it happens to
- * be a boundary with at least one section between z0 and z1.
- *
- * In either case, the edge is a directed edge -- either the zone
- * you are advancing into is to its left or right, or you are actually
- * drawing it.  I always trace curves keeping the region between z0 and
- * z1 to the left of the curve.  If I'm tracing a boundary, I'm always
- * moving CCW (counter clockwise) around the zone that exists.  And if
- * I'm about to cross a zone, I'll make the direction of the edge I'm
- * sitting on be such that the zone I'm crossing is to its left.
- *
- * I start tracing each curve near its lower left corner (mesh oriented
- * as above), which is the first point I encounter scanning through the
- * mesh in order.  When I figure the 012 z values and zonal existence,
- * I also mark the potential starting points: Each edge may harbor a
- * potential starting point corresponding to either direction, so there
- * are four start possibilities at each ij point.  Only the following
- * possibilities need to be marked as potential starting edges:
- *
- *     +-+-+-+
- *     | | | |
- *     A-0-C-+    One or both levels cut E and have z=1 above them, and
- *     | EZ| |    0A is cut and either 0C is cut or CD is cut.
- *     +-B-D-+    Or, one or both levels cut E and E is a boundary edge.
- *     | | | |    (and Z exists)
- *     +-+-+-+
- *
- *     +-+-+-+
- *     | | | |
- *     +-A-0-C    One or both levels cut E and have z=1 below them, and
- *     | |ZE |    0A is cut and either 0C is cut or CD is cut.
- *     +-+-B-D    Or, one or both levels cut E and E is a boundary edge.
- *     | | | |    (and Z exists)
- *     +-+-+-+
- *
- *     +-+-+-+
- *     | | | |
- *     +-+-+-+    E is a boundary edge, Z exists, at some point on E
- *     | |Z| |    lies between the levels.
- *     +-+E+-+
- *     | | | |
- *     +-+-+-+
- *
- *     +-+-+-+
- *     | | | |
- *     +-+E+-+    E is a boundary edge, Z exists, at some point on E
- *     | |Z| |    lies between the levels.
- *     +-+-+-+
- *     | | | |
- *     +-+-+-+
- *
- * During the first tracing pass, the start mark is erased whenever
- * any non-starting edge is encountered, reducing the number of points
- * that need to be considered for the second pass.  The first pass
- * makes the basic connectivity decisions.  It figures out how many
- * disjoint curves there will be, and identifies slits for the two level
- * case or open contours for the single level case, and removes all but
- * the actual start markers.  A second tracing pass can perform the
- * actual final trace.
- */
-
-/* ------------------------------------------------------------------------ */
-
-/* the data about edges, zones, and points -- boundary or not, exists
- * or not, z value 0, 1, or 2 -- is kept in a mesh sized data array */
-typedef short Cdata;
-
-/* information to decide on correct contour direction in saddle zones
- * is stored in a mesh sized array.  Only those entries corresponding
- * to saddle zones have nonzero values in this array. */
-typedef char Saddle;
-
-/* here is the minimum structure required to tell where we are in the
- * mesh sized data array */
-typedef struct Csite Csite;
-struct Csite
-{
-    long edge;                  /* ij of current edge */
-    long left;                  /* +-1 or +-imax as the zone is to right, left, below,
-                                 * or above the edge */
-    long imax;                  /* imax for the mesh */
-    long jmax;                  /* jmax for the mesh */
-    long n;                     /* number of points marked on this curve so far */
-    long count;                 /* count of start markers visited */
-    double zlevel[2];           /* contour levels, zlevel[1]<=zlevel[0]
-                                 * signals single level case */
-    Saddle *saddle;             /* saddle zone information for the mesh */
-    char *reg;                  /* region array for the mesh (was int) */
-    Cdata *data;                /* added by EF */
-    long edge0, left0;          /* starting site on this curve for closure */
-    int level0;                 /* starting level for closure */
-    long edge00;                /* site needing START_ROW mark */
-
-    /* making the actual marks requires a bunch of other stuff */
-    const double *x, *y, *z;    /* mesh coordinates and function values */
-    double *xcp, *ycp;          /* output contour points */
-    short *kcp;                 /* kind of contour point */
-};
-
-void print_Csite(Csite *Csite)
-{
-    Cdata *data = Csite->data;
-    int i, j, ij;
-    int nd = Csite->imax * (Csite->jmax + 1) + 1;
-    printf("zlevels: %8.2lg %8.2lg\n", Csite->zlevel[0], Csite->zlevel[1]);
-    printf("edge %ld, left %ld, n %ld, count %ld, edge0 %ld, left0 %ld\n",
-            Csite->edge, Csite->left, Csite->n, Csite->count,
-            Csite->edge0, Csite->left0);
-    printf("  level0 %d, edge00 %ld\n", Csite->level0, Csite->edge00);
-    printf("%04x\n", data[nd-1]);
-    for (j = Csite->jmax; j >= 0; j--)
-    {
-        for (i=0; i < Csite->imax; i++)
-        {
-            ij = i + j * Csite->imax;
-            printf("%04x ", data[ij]);
-        }
-        printf("\n");
-    }
-    printf("\n");
-}
-
-
-/* the Cdata array consists of the following bits:
- * Z_VALUE     (2 bits) 0, 1, or 2 function value at point
- * ZONE_EX     1 zone exists, 0 zone doesn't exist
- * I_BNDY      this i-edge (i=constant edge) is a mesh boundary
- * J_BNDY      this j-edge (i=constant edge) is a mesh boundary
- * I0_START    this i-edge is a start point into zone to left
- * I1_START    this i-edge is a start point into zone to right
- * J0_START    this j-edge is a start point into zone below
- * J1_START    this j-edge is a start point into zone above
- * START_ROW   next start point is in current row (accelerates 2nd pass)
- * SLIT_UP     marks this i-edge as the beginning of a slit upstroke
- * SLIT_DN     marks this i-edge as the beginning of a slit downstroke
- * OPEN_END    marks an i-edge start point whose other endpoint is
- *             on a boundary for the single level case
- * ALL_DONE    marks final start point
- * SLIT_DN_VISITED this slit downstroke hasn't/has been visited in pass 2
- */
-#define Z_VALUE   0x0003
-#define ZONE_EX   0x0004
-#define I_BNDY    0x0008
-#define J_BNDY    0x0010
-#define I0_START  0x0020
-#define I1_START  0x0040
-#define J0_START  0x0080
-#define J1_START  0x0100
-#define START_ROW 0x0200
-#define SLIT_UP   0x0400
-#define SLIT_DN   0x0800
-#define OPEN_END  0x1000
-#define ALL_DONE  0x2000
-#define SLIT_DN_VISITED 0x4000
-
-/* some helpful macros to find points relative to a given directed
- * edge -- points are designated 0, 1, 2, 3 CCW around zone with 0 and
- * 1 the endpoints of the current edge */
-#define FORWARD(left,ix) ((left)>0?((left)>1?1:-(ix)):((left)<-1?-1:(ix)))
-#define POINT0(edge,fwd) ((edge)-((fwd)>0?fwd:0))
-#define POINT1(edge,fwd) ((edge)+((fwd)<0?fwd:0))
-#define IS_JEDGE(edge,left) ((left)>0?((left)>1?1:0):((left)<-1?1:0))
-#define ANY_START (I0_START|I1_START|J0_START|J1_START)
-#define START_MARK(left) \
-  ((left)>0?((left)>1?J1_START:I1_START):((left)<-1?J0_START:I0_START))
-
-enum {kind_zone, kind_edge1, kind_edge2,
-        kind_slit_up, kind_slit_down, kind_start_slit=16} point_kinds;
-
-/* Saddle zone array consists of the following bits:
- * SADDLE_SET  whether zone's saddle data has been set.
- * SADDLE_GT0  whether z of centre of zone is higher than site->level[0].
- * SADDLE_GT1  whether z of centre of zone is higher than site->level[1].
- */
-#define SADDLE_SET 0x01
-#define SADDLE_GT0 0x02
-#define SADDLE_GT1 0x04
-
-/* ------------------------------------------------------------------------ */
-
-/* these actually mark points */
-static int zone_crosser (Csite * site, int level, int pass2);
-static int edge_walker (Csite * site, int pass2);
-static int slit_cutter (Csite * site, int up, int pass2);
-
-/* this calls the first three to trace the next disjoint curve
- * -- return value is number of points on this curve, or
- *    0 if there are no more curves this pass
- *    -(number of points) on first pass if:
- *      this is two level case, and the curve closed on a hole
- *      this is single level case, curve is open, and will start from
- *      a different point on the second pass
- *      -- in both cases, this curve will be combined with another
- *         on the second pass */
-static long curve_tracer (Csite * site, int pass2);
-
-/* this initializes the data array for curve_tracer */
-static void data_init (Csite * site, long nchunk);
-
-/* ------------------------------------------------------------------------ */
-
-/* zone_crosser assumes you are sitting at a cut edge about to cross
- * the current zone.  It always marks the initial point, crosses at
- * least one zone, and marks the final point.  On non-boundary i-edges,
- * it is responsible for removing start markers on the first pass.  */
-static int
-zone_crosser (Csite * site, int level, int pass2)
-{
-    Cdata * data = site->data;
-    long edge = site->edge;
-    long left = site->left;
-    long n = site->n;
-    long fwd = FORWARD (left, site->imax);
-    long p0, p1;
-    int jedge = IS_JEDGE (edge, left);
-    long edge0 = site->edge0;
-    long left0 = site->left0;
-    int level0 = site->level0 == level;
-    int two_levels = site->zlevel[1] > site->zlevel[0];
-    Saddle* saddle = site->saddle;
-
-    const double *x = pass2 ? site->x : 0;
-    const double *y = pass2 ? site->y : 0;
-    const double *z = site->z;
-    double zlevel = site->zlevel[level];
-    double *xcp = pass2 ? site->xcp : 0;
-    double *ycp = pass2 ? site->ycp : 0;
-    short *kcp = pass2 ? site->kcp : 0;
-
-    int z0, z1, z2, z3;
-    int done = 0;
-    int n_kind;
-
-    if (level)
-        level = 2;
-
-    for (;;)
-    {
-        n_kind = 0;
-        /* set edge endpoints */
-        p0 = POINT0 (edge, fwd);
-        p1 = POINT1 (edge, fwd);
-
-        /* always mark cut on current edge */
-        if (pass2)
-        {
-            /* second pass actually computes and stores the point */
-            double zcp = (zlevel - z[p0]) / (z[p1] - z[p0]);
-            xcp[n] = zcp * (x[p1] - x[p0]) + x[p0];
-            ycp[n] = zcp * (y[p1] - y[p0]) + y[p0];
-            kcp[n] = kind_zone;
-            n_kind = n;
-        }
-        if (!done && !jedge)
-        {
-            if (n)
-            {
-                /* if this is not the first point on the curve, and we're
-                 * not done, and this is an i-edge, check several things */
-                if (!two_levels && !pass2 && (data[edge] & OPEN_END))
-                {
-                    /* reached an OPEN_END mark, skip the n++ */
-                    done = 4;   /* same return value 4 used below */
-                    break;
-                }
-
-                /* check for curve closure -- if not, erase any start mark */
-                if (edge == edge0 && left == left0)
-                {
-                    /* may signal closure on a downstroke */
-                    if (level0)
-                        done = (!pass2 && two_levels && left < 0) ? 5 : 3;
-                }
-                else if (!pass2)
-                {
-                    Cdata start =
-                        data[edge] & (fwd > 0 ? I0_START : I1_START);
-                    if (start)
-                    {
-                        data[edge] &= ~start;
-                        site->count--;
-                    }
-                    if (!two_levels)
-                    {
-                        start = data[edge] & (fwd > 0 ? I1_START : I0_START);
-                        if (start)
-                        {
-                            data[edge] &= ~start;
-                            site->count--;
-                        }
-                    }
-                }
-            }
-        }
-        n++;
-        if (done)
-            break;
-
-        /* cross current zone to another cut edge */
-        z0 = (data[p0] & Z_VALUE) != level;     /* 1 if fill toward p0 */
-        z1 = !z0;               /* know level cuts edge */
-        z2 = (data[p1 + left] & Z_VALUE) != level;
-        z3 = (data[p0 + left] & Z_VALUE) != level;
-        if (z0 == z2)
-        {
-            if (z1 == z3)
-            {
-                /* this is a saddle zone, determine whether to turn left or
-                 * right depending on height of centre of zone relative to
-                 * contour level.  Set saddle[zone] if not already decided. */
-                int turnRight;
-                long zone = edge + (left > 0 ? left : 0);
-                if (!(saddle[zone] & SADDLE_SET))
-                {
-                    double zcentre;
-                    saddle[zone] = SADDLE_SET;
-                    zcentre = (z[p0] + z[p0+left] + z[p1] + z[p1+left])/4.0;
-                    if (zcentre > site->zlevel[0])
-                        saddle[zone] |=
-                            (two_levels && zcentre > site->zlevel[1])
-                            ? SADDLE_GT0 | SADDLE_GT1 : SADDLE_GT0;
-                }
-
-                turnRight = level == 2 ? (saddle[zone] & SADDLE_GT1)
-                                       : (saddle[zone] & SADDLE_GT0);
-                if (z1 ^ (level == 2))
-                    turnRight = !turnRight;
-                if (!turnRight)
-                    goto bkwd;
-            }
-            /* bend forward (right along curve) */
-            jedge = !jedge;
-            edge = p1 + (left > 0 ? left : 0);
-            {
-                long tmp = fwd;
-                fwd = -left;
-                left = tmp;
-            }
-        }
-        else if (z1 == z3)
-        {
-          bkwd:
-            /* bend backward (left along curve) */
-            jedge = !jedge;
-            edge = p0 + (left > 0 ? left : 0);
-            {
-                long tmp = fwd;
-                fwd = left;
-                left = -tmp;
-            }
-        }
-        else
-        {
-            /* straight across to opposite edge */
-            edge += left;
-        }
-        /* after crossing zone, edge/left/fwd is oriented CCW relative to
-         * the next zone, assuming we will step there */
-
-        /* now that we've taken a step, check for the downstroke
-         * of a slit on the second pass (upstroke checked above)
-         * -- taking step first avoids a race condition */
-        if (pass2 && two_levels && !jedge)
-        {
-            if (left > 0)
-            {
-                if (data[edge] & SLIT_UP)
-                    done = 6;
-            }
-            else
-            {
-                if (data[edge] & SLIT_DN)
-                    done = 5;
-            }
-        }
-
-        if (!done)
-        {
-            /* finally, check if we are on a boundary */
-            if (data[edge] & (jedge ? J_BNDY : I_BNDY))
-            {
-                done = two_levels ? 2 : 4;
-                /* flip back into the zone that exists */
-                left = -left;
-                fwd = -fwd;
-                if (!pass2 && (edge != edge0 || left != left0))
-                {
-                    Cdata start = data[edge] & START_MARK (left);
-                    if (start)
-                    {
-                        data[edge] &= ~start;
-                        site->count--;
-                    }
-                }
-            }
-        }
-    }
-
-    site->edge = edge;
-    site->n = n;
-    site->left = left;
-    if (done <= 4)
-    {
-        return done;
-    }
-    if (pass2 && n_kind)
-    {
-        kcp[n_kind] += kind_start_slit;
-    }
-    return slit_cutter (site, done - 5, pass2);
-}
-
-/* edge_walker assumes that the current edge is being drawn CCW
- * around the current zone.  Since only boundary edges are drawn
- * and we always walk around with the filled region to the left,
- * no edge is ever drawn CW.  We attempt to advance to the next
- * edge on this boundary, but if current second endpoint is not
- * between the two contour levels, we exit back to zone_crosser.
- * Note that we may wind up marking no points.
- * -- edge_walker is never called for single level case */
-static int
-edge_walker (Csite * site,  int pass2)
-{
-    Cdata * data = site->data;
-    long edge = site->edge;
-    long left = site->left;
-    long n = site->n;
-    long fwd = FORWARD (left, site->imax);
-    long p0 = POINT0 (edge, fwd);
-    long p1 = POINT1 (edge, fwd);
-    int jedge = IS_JEDGE (edge, left);
-    long edge0 = site->edge0;
-    long left0 = site->left0;
-    int level0 = site->level0 == 2;
-    int marked;
-    int n_kind = 0;
-
-    const double *x = pass2 ? site->x : 0;
-    const double *y = pass2 ? site->y : 0;
-    double *xcp = pass2 ? site->xcp : 0;
-    double *ycp = pass2 ? site->ycp : 0;
-    short *kcp = pass2 ? site->kcp : 0;
-
-    int z0, z1, heads_up = 0;
-
-    for (;;)
-    {
-        /* mark endpoint 0 only if value is 1 there, and this is a
-         * two level task */
-        z0 = data[p0] & Z_VALUE;
-        z1 = data[p1] & Z_VALUE;
-        marked = 0;
-        n_kind = 0;
-        if (z0 == 1)
-        {
-            /* mark current boundary point */
-            if (pass2)
-            {
-                xcp[n] = x[p0];
-                ycp[n] = y[p0];
-                kcp[n] = kind_edge1;
-                n_kind = n;
-            }
-            marked = 1;
-        }
-        else if (!n)
-        {
-            /* if this is the first point is not between the levels
-             * must do the job of the zone_crosser and mark the first cut here,
-             * so that it will be marked again by zone_crosser as it closes */
-            if (pass2)
-            {
-                double zcp = site->zlevel[(z0 != 0)];
-                zcp = (zcp - site->z[p0]) / (site->z[p1] - site->z[p0]);
-                xcp[n] = zcp * (x[p1] - x[p0]) + x[p0];
-                ycp[n] = zcp * (y[p1] - y[p0]) + y[p0];
-                kcp[n] = kind_edge2;
-                n_kind = n;
-            }
-            marked = 1;
-        }
-        if (n)
-        {
-            /* check for closure */
-            if (level0 && edge == edge0 && left == left0)
-            {
-                site->edge = edge;
-                site->left = left;
-                site->n = n + marked;
-                /* if the curve is closing on a hole, need to make a downslit */
-                if (fwd < 0 && !(data[edge] & (jedge ? J_BNDY : I_BNDY)))
-                {
-                    if (n_kind) kcp[n_kind] += kind_start_slit;
-                    return slit_cutter (site, 0, pass2);
-                }
-                if (fwd < 0 && level0 && left < 0)
-                {
-                    /* remove J0_START from this boundary edge as boundary is
-                     * included by the upwards slit from contour line below. */
-                    data[edge] &= ~J0_START;
-                    if (n_kind) kcp[n_kind] += kind_start_slit;
-                    return slit_cutter (site, 0, pass2);
-                }
-                return 3;
-            }
-            else if (pass2)
-            {
-                if (heads_up || (fwd < 0 && (data[edge] & SLIT_DN)))
-                {
-                    if (!heads_up && !(data[edge] & SLIT_DN_VISITED))
-                        data[edge] |= SLIT_DN_VISITED;
-                    else
-                    {
-                        site->edge = edge;
-                        site->left = left;
-                        site->n = n + marked;
-                        if (n_kind) kcp[n_kind] += kind_start_slit;
-                        return slit_cutter (site, heads_up, pass2);
-                    }
-                }
-            }
-            else
-            {
-                /* if this is not first point, clear start mark for this edge */
-                Cdata start = data[edge] & START_MARK (left);
-                if (start)
-                {
-                    data[edge] &= ~start;
-                    site->count--;
-                }
-            }
-        }
-        if (marked)
-            n++;
-
-        /* if next endpoint not between levels, need to exit to zone_crosser */
-        if (z1 != 1)
-        {
-            site->edge = edge;
-            site->left = left;
-            site->n = n;
-            return (z1 != 0);   /* return level closest to p1 */
-        }
-
-        /* step to p1 and find next edge
-         * -- turn left if possible, else straight, else right
-         * -- check for upward slit beginning at same time */
-        edge = p1 + (left > 0 ? left : 0);
-        if (pass2 && jedge && fwd > 0 && (data[edge] & SLIT_UP))
-        {
-            jedge = !jedge;
-            heads_up = 1;
-        }
-        else if (data[edge] & (jedge ? I_BNDY : J_BNDY))
-        {
-            long tmp = fwd;
-            fwd = left;
-            left = -tmp;
-            jedge = !jedge;
-        }
-        else
-        {
-            edge = p1 + (fwd > 0 ? fwd : 0);
-            if (pass2 && !jedge && fwd > 0 && (data[edge] & SLIT_UP))
-            {
-                heads_up = 1;
-            }
-            else if (!(data[edge] & (jedge ? J_BNDY : I_BNDY)))
-            {
-                edge = p1 - (left < 0 ? left : 0);
-                jedge = !jedge;
-                {
-                    long tmp = fwd;
-                    fwd = -left;
-                    left = tmp;
-                }
-            }
-        }
-        p0 = p1;
-        p1 = POINT1 (edge, fwd);
-    }
-}
-
-/* -- slit_cutter is never called for single level case */
-static int
-slit_cutter (Csite * site, int up, int pass2)
-{
-    Cdata * data = site->data;
-    long imax = site->imax;
-    long n = site->n;
-
-    const double *x = pass2 ? site->x : 0;
-    const double *y = pass2 ? site->y : 0;
-    double *xcp = pass2 ? site->xcp : 0;
-    double *ycp = pass2 ? site->ycp : 0;
-    short *kcp = pass2 ? site->kcp : 0;
-
-    if (up)
-    {
-        /* upward stroke of slit proceeds up left side of slit until
-         * it hits a boundary or a point not between the contour levels
-         * -- this never happens on the first pass */
-        long p1 = site->edge;
-        int z1;
-
-        assert(pass2);
-
-        for (;;)
-        {
-            z1 = data[p1] & Z_VALUE;
-            if (z1 != 1)
-            {
-                site->edge = p1;
-                site->left = -1;
-                site->n = n;
-                return (z1 != 0);
-            }
-            else if (data[p1] & J_BNDY)
-            {
-                /* this is very unusual case of closing on a mesh hole */
-                site->edge = p1;
-                site->left = -imax;
-                site->n = n;
-                return 2;
-            }
-            xcp[n] = x[p1];
-            ycp[n] = y[p1];
-            kcp[n] = kind_slit_up;
-            n++;
-            p1 += imax;
-        }
-
-    }
-    else
-    {
-        /* downward stroke proceeds down right side of slit until it
-         * hits a boundary or point not between the contour levels */
-        long p0 = site->edge;
-        int z0;
-        /* at beginning of first pass, mark first i-edge with SLIT_DN */
-        data[p0] |= SLIT_DN;
-        p0 -= imax;
-        for (;;)
-        {
-            z0 = data[p0] & Z_VALUE;
-            if (!pass2)
-            {
-                if (z0 != 1 || (data[p0] & I_BNDY) || (data[p0 + 1] & J_BNDY))
-                {
-                    /* at end of first pass, mark final i-edge with SLIT_UP */
-                    data[p0 + imax] |= SLIT_UP;
-                    /* one extra count for splicing at outer curve */
-                    site->n = n + 1;
-                    return 4;   /* return same special value as for OPEN_END */
-                }
-            }
-            else
-            {
-                if (z0 != 1)
-                {
-                    site->edge = p0 + imax;
-                    site->left = 1;
-                    site->n = n;
-                    return (z0 != 0);
-                }
-                else if (data[p0 + 1] & J_BNDY)
-                {
-                    site->edge = p0 + 1;
-                    site->left = imax;
-                    site->n = n;
-                    return 2;
-                }
-                else if (data[p0] & I_BNDY)
-                {
-                    site->edge = p0;
-                    site->left = 1;
-                    site->n = n;
-                    return 2;
-                }
-            }
-            if (pass2)
-            {
-                xcp[n] = x[p0];
-                ycp[n] = y[p0];
-                kcp[n] = kind_slit_down;
-                n++;
-            }
-            else
-            {
-                /* on first pass need to count for upstroke as well */
-                n += 2;
-            }
-            p0 -= imax;
-        }
-    }
-}
-
-/* ------------------------------------------------------------------------ */
-
-/* curve_tracer finds the next starting point, then traces the curve,
- * returning the number of points on this curve
- * -- in a two level trace, the return value is negative on the
- *    first pass if the curve closed on a hole
- * -- in a single level trace, the return value is negative on the
- *    first pass if the curve is an incomplete open curve
- * -- a return value of 0 indicates no more curves */
-static long
-curve_tracer (Csite * site, int pass2)
-{
-    Cdata * data = site->data;
-    long imax = site->imax;
-    long edge0 = site->edge0;
-    long left0 = site->left0;
-    long edge00 = site->edge00;
-    int two_levels = site->zlevel[1] > site->zlevel[0];
-    int level, level0, mark_row;
-    long n;
-
-    /* it is possible for a single i-edge to serve as two actual start
-     * points, one to the right and one to the left
-     * -- for the two level case, this happens on the first pass for
-     *    a doubly cut edge, or on a chunking boundary
-     * -- for single level case, this is impossible, but a similar
-     *    situation involving open curves is handled below
-     * a second two start possibility is when the edge0 zone does not
-     * exist and both the i-edge and j-edge boundaries are cut
-     * yet another possibility is three start points at a junction
-     * of chunk cuts
-     * -- sigh, several other rare possibilities,
-     *    allow for general case, just go in order i1, i0, j1, j0 */
-    int two_starts;
-    /* printf("curve_tracer pass %d\n", pass2); */
-    /* print_Csite(site); */
-    if (left0 == 1)
-        two_starts = data[edge0] & (I0_START | J1_START | J0_START);
-    else if (left0 == -1)
-        two_starts = data[edge0] & (J1_START | J0_START);
-    else if (left0 == imax)
-        two_starts = data[edge0] & J0_START;
-    else
-        two_starts = 0;
-
-    if (pass2 || edge0 == 0)
-    {
-        /* zip up to row marked on first pass (or by data_init if edge0==0)
-         * -- but not for double start case */
-        if (!two_starts)
-        {
-            /* final start point marked by ALL_DONE marker */
-            int first = (edge0 == 0 && !pass2);
-            long e0 = edge0;
-            if (data[edge0] & ALL_DONE)
-                return 0;
-            while (!(data[edge0] & START_ROW))
-                edge0 += imax;
-            if (e0 == edge0)
-                edge0++;        /* two starts handled specially */
-            if (first)
-                /* if this is the very first start point, we want to remove
-                 * the START_ROW marker placed by data_init */
-                data[edge0 - edge0 % imax] &= ~START_ROW;
-        }
-
-    }
-    else
-    {
-        /* first pass ends when all potential start points visited */
-        if (site->count <= 0)
-        {
-            /* place ALL_DONE marker for second pass */
-            data[edge00] |= ALL_DONE;
-            /* reset initial site for second pass */
-            site->edge0 = site->edge00 = site->left0 = 0;
-            return 0;
-        }
-        if (!two_starts)
-            edge0++;
-    }
-
-    if (two_starts)
-    {
-        /* trace second curve with this start immediately */
-        if (left0 == 1 && (data[edge0] & I0_START))
-        {
-            left0 = -1;
-            level = (data[edge0] & I_BNDY) ? 2 : 0;
-        }
-        else if ((left0 == 1 || left0 == -1) && (data[edge0] & J1_START))
-        {
-            left0 = imax;
-            level = 2;
-        }
-        else
-        {
-            left0 = -imax;
-            level = 2;
-        }
-
-    }
-    else
-    {
-        /* usual case is to scan for next start marker
-         * -- on second pass, this is at most one row of mesh, but first
-         *    pass hits nearly every point of the mesh, since it can't
-         *    know in advance which potential start marks removed */
-        while (!(data[edge0] & ANY_START))
-            edge0++;
-
-        if (data[edge0] & I1_START)
-            left0 = 1;
-        else if (data[edge0] & I0_START)
-            left0 = -1;
-        else if (data[edge0] & J1_START)
-            left0 = imax;
-        else                    /*data[edge0]&J0_START */
-            left0 = -imax;
-
-        if (data[edge0] & (I1_START | I0_START))
-            level = (data[edge0] & I_BNDY) ? 2 : 0;
-        else
-            level = 2;
-    }
-
-    /* this start marker will not be unmarked, but it has been visited */
-    if (!pass2)
-        site->count--;
-
-    /* if this curve starts on a non-boundary i-edge, we need to
-     * determine the level */
-    if (!level && two_levels)
-        level = left0 > 0 ?
-            ((data[edge0 - imax] & Z_VALUE) !=
-             0) : ((data[edge0] & Z_VALUE) != 0);
-
-    /* initialize site for this curve */
-    site->edge = site->edge0 = edge0;
-    site->left = site->left0 = left0;
-    site->level0 = level0 = level;      /* for open curve detection only */
-
-    /* single level case just uses zone_crosser */
-    if (!two_levels)
-        level = 0;
-
-    /* to generate the curve, alternate between zone_crosser and
-     * edge_walker until closure or first call to edge_walker in
-     * single level case */
-    site->n = 0;
-    for (;;)
-    {
-        if (level < 2)
-            level = zone_crosser (site, level, pass2);
-        else if (level < 3)
-            level = edge_walker (site, pass2);
-        else
-            break;
-    }
-    n = site->n;
-
-    /* single level case may have ended at a boundary rather than closing
-     * -- need to recognize this case here in order to place the
-     *    OPEN_END mark for zone_crosser, remove this start marker,
-     *    and be sure not to make a START_ROW mark for this case
-     * two level case may close with slit_cutter, in which case start
-     *    must also be removed and no START_ROW mark made
-     * -- change sign of return n to inform caller */
-    if (!pass2 && level > 3 && (two_levels || level0 == 0))
-    {
-        if (!two_levels)
-            data[edge0] |= OPEN_END;
-        data[edge0] &= ~(left0 > 0 ? I1_START : I0_START);
-        mark_row = 0;           /* do not mark START_ROW */
-        n = -n;
-    }
-    else
-    {
-        if (two_levels)
-            mark_row = !two_starts;
-        else
-            mark_row = 1;
-    }
-
-    /* on first pass, must apply START_ROW mark in column above previous
-     * start marker
-     * -- but skip if we just did second of two start case */
-    if (!pass2 && mark_row)
-    {
-        data[edge0 - (edge0 - edge00) % imax] |= START_ROW;
-        site->edge00 = edge0;
-    }
-
-    return n;
-}
-
-/* ------------------------------------------------------------------------ */
-
-static void
-data_init (Csite * site, long nchunk)
-{
-    Cdata * data = site->data;
-    long imax = site->imax;
-    long jmax = site->jmax;
-    long ijmax = imax * jmax;
-    const double *z = site->z;
-    double zlev0 = site->zlevel[0];
-    double zlev1 = site->zlevel[1];
-    int two_levels = zlev1 > zlev0;
-    char *reg = site->reg;
-    long count = 0;
-    int started = 0;
-    int ibndy, jbndy, i_was_chunk;
-
-    long icsize = imax - 1;
-    long jcsize = jmax - 1;
-    long ichunk, jchunk, irem, jrem, i, j, ij;
-
-    if (nchunk && two_levels)
-    {
-        /* figure out chunk sizes
-         * -- input nchunk is square root of maximum allowed zones per chunk
-         * -- start points for single level case are wrong, so don't try it */
-        long inum = (nchunk * nchunk) / (jmax - 1);
-        long jnum = (nchunk * nchunk) / (imax - 1);
-        if (inum < nchunk)
-            inum = nchunk;
-        if (jnum < nchunk)
-            jnum = nchunk;
-        /* ijnum= actual number of chunks,
-         * ijrem= number of those chunks needing one more zone (ijcsize+1) */
-        inum = (imax - 2) / inum + 1;
-        icsize = (imax - 1) / inum;
-        irem = (imax - 1) % inum;
-        jnum = (jmax - 2) / jnum + 1;
-        jcsize = (jmax - 1) / jnum;
-        jrem = (jmax - 1) % jnum;
-        /* convert ijrem into value of i or j at which to begin adding an
-         * extra zone */
-        irem = (inum - irem) * icsize;
-        jrem = (jnum - jrem) * jcsize;
-    }
-    else
-    {
-        irem = imax;
-        jrem = jmax;
-    }
-
-    /* do everything in a single pass through the data array to
-     * minimize cache faulting (z, reg, and data are potentially
-     * very large arrays)
-     * access to the z and reg arrays is strictly sequential,
-     * but we need two rows (+-imax) of the data array at a time */
-    if (z[0] > zlev0)
-        data[0] = (two_levels && z[0] > zlev1) ? 2 : 1;
-    else
-        data[0] = 0;
-    jchunk = 0;
-    for (j = ij = 0; j < jmax; j++)
-    {
-        ichunk = i_was_chunk = 0;
-        for (i = 0; i < imax; i++, ij++)
-        {
-            /* transfer zonal existence from reg to data array
-             * -- get these for next row so we can figure existence of
-             *    points and j-edges for this row */
-            data[ij + imax + 1] = 0;
-            if (reg)
-            {
-                if (reg[ij + imax + 1] != 0)
-                    data[ij + imax + 1] = ZONE_EX;
-            }
-            else
-            {
-                if (i < imax - 1 && j < jmax - 1)
-                    data[ij + imax + 1] = ZONE_EX;
-            }
-
-            /* translate z values to 0, 1, 2 flags */
-            if (ij < imax)
-                data[ij + 1] = 0;
-            if (ij < ijmax - 1 && z[ij + 1] > zlev0)
-                data[ij + 1] |= (two_levels && z[ij + 1] > zlev1) ? 2 : 1;
-
-            /* apply edge boundary marks */
-            ibndy = i == ichunk
-                || (data[ij] & ZONE_EX) != (data[ij + 1] & ZONE_EX);
-            jbndy = j == jchunk
-                || (data[ij] & ZONE_EX) != (data[ij + imax] & ZONE_EX);
-            if (ibndy)
-                data[ij] |= I_BNDY;
-            if (jbndy)
-                data[ij] |= J_BNDY;
-
-            /* apply i-edge start marks
-             * -- i-edges are only marked when actually cut
-             * -- no mark is necessary if one of the j-edges which share
-             *    the lower endpoint is also cut
-             * -- no I0 mark necessary unless filled region below some cut,
-             *    no I1 mark necessary unless filled region above some cut */
-            if (j)
-            {
-                int v0 = (data[ij] & Z_VALUE);
-                int vb = (data[ij - imax] & Z_VALUE);
-                if (v0 != vb)
-                {               /* i-edge is cut */
-                    if (ibndy)
-                    {
-                        if (data[ij] & ZONE_EX)
-                        {
-                            data[ij] |= I0_START;
-                            count++;
-                        }
-                        if (data[ij + 1] & ZONE_EX)
-                        {
-                            data[ij] |= I1_START;
-                            count++;
-                        }
-                    }
-                    else
-                    {
-                        int va = (data[ij - 1] & Z_VALUE);
-                        int vc = (data[ij + 1] & Z_VALUE);
-                        int vd = (data[ij - imax + 1] & Z_VALUE);
-                        if (v0 != 1 && va != v0
-                            && (vc != v0 || vd != v0) && (data[ij] & ZONE_EX))
-                        {
-                            data[ij] |= I0_START;
-                            count++;
-                        }
-                        if (vb != 1 && va == vb
-                            && (vc == vb || vd == vb)
-                            && (data[ij + 1] & ZONE_EX))
-                        {
-                            data[ij] |= I1_START;
-                            count++;
-                        }
-                    }
-                }
-            }
-
-            /* apply j-edge start marks
-             * -- j-edges are only marked when they are boundaries
-             * -- all cut boundary edges marked
-             * -- for two level case, a few uncut edges must be marked
-             */
-            if (i && jbndy)
-            {
-                int v0 = (data[ij] & Z_VALUE);
-                int vb = (data[ij - 1] & Z_VALUE);
-                if (v0 != vb)
-                {
-                    if (data[ij] & ZONE_EX)
-                    {
-                        data[ij] |= J0_START;
-                        count++;
-                    }
-                    if (data[ij + imax] & ZONE_EX)
-                    {
-                        data[ij] |= J1_START;
-                        count++;
-                    }
-                }
-                else if (two_levels && v0 == 1)
-                {
-                    if (data[ij + imax] & ZONE_EX)
-                    {
-                        if (i_was_chunk || !(data[ij + imax - 1] & ZONE_EX))
-                        {
-                            /* lower left is a drawn part of boundary */
-                            data[ij] |= J1_START;
-                            count++;
-                        }
-                    }
-                    else if (data[ij] & ZONE_EX)
-                    {
-                        if (data[ij + imax - 1] & ZONE_EX)
-                        {
-                            /* weird case of open hole at lower left */
-                            data[ij] |= J0_START;
-                            count++;
-                        }
-                    }
-                }
-            }
-
-            i_was_chunk = (i == ichunk);
-            if (i_was_chunk)
-                ichunk += icsize + (ichunk >= irem);
-        }
-
-        if (j == jchunk)
-            jchunk += jcsize + (jchunk >= jrem);
-
-        /* place first START_ROW marker */
-        if (count && !started)
-        {
-            data[ij - imax] |= START_ROW;
-            started = 1;
-        }
-    }
-
-    /* place immediate stop mark if nothing found */
-    if (!count)
-        data[0] |= ALL_DONE;
-    else
-        for (i = 0; i < ijmax; ++i) site->saddle[i] = 0;
-
-    /* initialize site */
-    site->edge0 = site->edge00 = site->edge = 0;
-    site->left0 = site->left = 0;
-    site->n = 0;
-    site->count = count;
-}
-
-/* ------------------------------------------------------------------------
-   Original (slightly modified) core contour generation routines are above;
-   below are new routines for interfacing to mpl.
-
- ------------------------------------------------------------------------ */
-
-/* Note: index order gets switched in the Python interface;
-   python Z[i,j] -> C z[j,i]
-   so if the array has shape Mi, Nj in python,
-   we have iMax = Nj, jMax = Mi in gcntr.c.
-   On the Python side:  Ny, Nx = shape(z),
-   so in C, the x-dimension is the first index, the y-dimension
-   the second.
-*/
-
-/* reg should have the same dimensions as data, which
-   has an extra iMax + 1 points relative to Z.
-   It differs from mask in being the opposite (True
-   where a region exists, versus the mask, which is True
-   where a data point is bad), and in that it marks
-   zones, not points.  All four zones sharing a bad
-   point must be marked as not existing.
-*/
-void
-mask_zones (long iMax, long jMax, char *mask, char *reg)
-{
-    long i, j, ij;
-    long nreg = iMax * jMax + iMax + 1;
-
-    for (ij = iMax+1; ij < iMax*jMax; ij++)
-    {
-        reg[ij] = 1;
-    }
-
-    ij = 0;
-    for (j = 0; j < jMax; j++)
-    {
-        for (i = 0; i < iMax; i++, ij++)
-        {
-            if (i == 0 || j == 0) reg[ij] = 0;
-            if (mask[ij] != 0)
-            {
-                reg[ij] = 0;
-                reg[ij + 1] = 0;
-                reg[ij + iMax] = 0;
-                reg[ij + iMax + 1] = 0;
-            }
-        }
-    }
-    for (; ij < nreg; ij++)
-    {
-        reg[ij] = 0;
-    }
-}
-
-static Csite *
-cntr_new(void)
-{
-    Csite *site;
-    site = (Csite *) PyMem_Malloc(sizeof(Csite));
-    if (site == NULL) return NULL;
-    site->data = NULL;
-    site->reg = NULL;
-    site->saddle = NULL;
-    site->xcp = NULL;
-    site->ycp = NULL;
-    site->kcp = NULL;
-    site->x = NULL;
-    site->y = NULL;
-    site->z = NULL;
-    return site;
-}
-
-static int
-cntr_init(Csite *site, long iMax, long jMax, double *x, double *y,
-                double *z, char *mask)
-{
-    long ijmax = iMax * jMax;
-    long nreg = iMax * jMax + iMax + 1;
-
-    site->imax = iMax;
-    site->jmax = jMax;
-    site->data = (Cdata *) PyMem_Malloc(sizeof(Cdata) * nreg);
-    if (site->data == NULL)
-    {
-        PyMem_Free(site);
-        return -1;
-    }
-    site->saddle = (Saddle*) PyMem_Malloc(sizeof(Saddle) * ijmax);
-    if (site->saddle == NULL)
-    {
-        PyMem_Free(site->data);
-        PyMem_Free(site);
-        return -1;
-    }
-    site->reg = NULL;
-    if (mask != NULL)
-    {
-        site->reg = (char *) PyMem_Malloc(sizeof(char) * nreg);
-        if (site->reg == NULL)
-        {
-            PyMem_Free(site->saddle);
-            PyMem_Free(site->data);
-            PyMem_Free(site);
-            return -1;
-        }
-        mask_zones(iMax, jMax, mask, site->reg);
-    }
-    /* I don't think we need to initialize site->data. */
-    site->x = x;
-    site->y = y;
-    site->z = z;
-    site->xcp = NULL;
-    site->ycp = NULL;
-    site->kcp = NULL;
-    return 0;
-}
-
-void cntr_del(Csite *site)
-{
-    PyMem_Free(site->saddle);
-    PyMem_Free(site->reg);
-    PyMem_Free(site->data);
-    PyMem_Free(site);
-    site = NULL;
-}
-
-#define MOVETO 1
-#define LINETO 2
-
-int reorder(double *xpp, double *ypp, short *kpp,
-                    double *xy, unsigned char *c, int npts)
-{
-    int *i0;
-    int *i1;
-    int *subp=NULL;  /* initialized to suppress warning */
-    int isp, nsp;
-    int iseg, nsegs;
-    int isegplus;
-    int i;
-    int k;
-    int started;
-    int maxnsegs = npts/2 + 1;
-
-    /* allocate maximum possible size--gross overkill */
-    i0 = (int *)malloc(maxnsegs * sizeof(int));
-    i1 = (int *)malloc(maxnsegs * sizeof(int));
-
-    /* Find the segments. */
-    iseg = 0;
-    started = 0;
-    for (i=0; i<npts; i++)
-    {
-        if (started)
-        {
-            if ((kpp[i] >= kind_slit_up) || (i == npts-1))
-            {
-                i1[iseg] = i;
-                started = 0;
-                iseg++;
-                if (iseg == maxnsegs)
-                {
-                    k = -1;
-                    goto ending;
-                }
-            }
-        }
-        else if ((kpp[i] < kind_slit_up) && (i < npts-1))
-        {
-            i0[iseg] = i;
-            started = 1;
-        }
-    }
-
-    nsegs = iseg;
-
-
-    /* Find the subpaths as sets of connected segments. */
-
-    if (nsegs) {
-        subp = (int *)malloc(nsegs * sizeof(int));
-    } else {
-        subp = NULL;
-    }
-    for (i=0; i<nsegs; i++) subp[i] = -1;
-
-    nsp = 0;
-    for (iseg=0; iseg<nsegs; iseg++)
-    {
-        /* For each segment, if it is not closed, look ahead for
-           the next connected segment.
-        */
-        double xend, yend;
-        xend = xpp[i1[iseg]];
-        yend = ypp[i1[iseg]];
-        if (subp[iseg] >= 0) continue;
-        subp[iseg] = nsp;
-        nsp++;
-        if (iseg == nsegs-1) continue;
-        for (isegplus = iseg+1; isegplus < nsegs; isegplus++)
-        {
-            if (subp[isegplus] >= 0) continue;
-
-            if (xend == xpp[i0[isegplus]] && yend == ypp[i0[isegplus]])
-            {
-                subp[isegplus] = subp[iseg];
-                xend = xpp[i1[isegplus]];
-                yend = ypp[i1[isegplus]];
-            }
-
-        }
-    }
-
-    /* Generate the verts and codes from the subpaths. */
-    k = 0;
-    for (isp=0; isp<nsp; isp++)
-    {
-        int first = 1;
-        for (iseg=0; iseg<nsegs; iseg++)
-        {
-            int istart, iend;
-            if (subp[iseg] != isp) continue;
-            iend = i1[iseg];
-            if (first)
-            {
-                istart = i0[iseg];
-            }
-            else
-            {
-                istart = i0[iseg]+1; /* skip duplicate */
-            }
-            for (i=istart; i<=iend; i++)
-            {
-                xy[2*k] = xpp[i];
-                xy[2*k+1] = ypp[i];
-                if (first) c[k] = MOVETO;
-                else       c[k] = LINETO;
-                first = 0;
-                k++;
-                if (k > npts)  /* should never happen */
-                {
-                    k = -1;
-                    goto ending;
-                }
-            }
-        }
-    }
-
-    ending:
-    free(i0);
-    free(i1);
-    free(subp);
-
-    return k;
-}
-
-/* Build a list of XY 2-D arrays, shape (N,2), to which a list of path
-        code arrays is concatenated.
-*/
-static PyObject *
-build_cntr_list_v2(long *np, double *xp, double *yp, short *kp,
-                                            int nparts, long ntotal)
-{
-    PyObject *all_contours;
-    PyArrayObject *xyv = NULL;
-    PyArrayObject *kv = NULL;
-    npy_intp dims[2];
-    npy_intp kdims[1];
-    int i;
-    long k;
-
-    PyArray_Dims newshape;
-
-    all_contours = PyList_New(nparts*2);
-
-    for (i=0, k=0; i < nparts; k+= np[i], i++)
-    {
-        double *xpp = xp+k;
-        double *ypp = yp+k;
-        short *kpp = kp+k;
-        int n;
-
-
-        dims[0] = np[i];
-        dims[1] = 2;
-        kdims[0] = np[i];
-        xyv = (PyArrayObject *) PyArray_SimpleNew(2, dims, NPY_DOUBLE);
-        if (xyv == NULL)  goto error;
-        kv = (PyArrayObject *) PyArray_SimpleNew(1, kdims, NPY_UBYTE);
-        if (kv == NULL) goto error;
-
-        n = reorder(xpp, ypp, kpp,
-                        (double *) PyArray_DATA(xyv),
-                        (unsigned char *) PyArray_DATA(kv),
-                        np[i]);
-        if (n == -1) goto error;
-        newshape.len = 2;
-        dims[0] = n;
-        newshape.ptr = dims;
-        if (PyArray_Resize(xyv, &newshape, 1, NPY_CORDER) == NULL) goto error;
-
-        newshape.len = 1;  /* ptr, dims can stay the same */
-        if (PyArray_Resize(kv, &newshape, 1, NPY_CORDER) == NULL) goto error;
-
-
-        if (PyList_SetItem(all_contours, i, (PyObject *)xyv)) goto error;
-        if (PyList_SetItem(all_contours, nparts+i,
-                                (PyObject *)kv)) goto error;
-    }
-    return all_contours;
-
-    error:
-    Py_XDECREF(xyv);
-    Py_XDECREF(kv);
-    Py_XDECREF(all_contours);
-    return NULL;
-}
-
-#if 0   /* preprocess this out when we are not using it. */
-/* Build a list of XY 2-D arrays, shape (N,2), to which a list of K arrays
-        is concatenated.
-   This is kept in the code in case we need to switch back to it,
-   or in case we need it for investigating the infamous internal
-   masked region bug.
-*/
-
-static PyObject *
-__build_cntr_list_v2(long *np, double *xp, double *yp, short *kp,
-                                            int nparts, long ntotal)
-{
-    PyObject *all_contours;
-    PyArrayObject *xyv;
-    PyArrayObject *kv;
-    npy_intp dims[2];
-    npy_intp kdims[1];
-    int i;
-    long j, k;
-
-    all_contours = PyList_New(nparts*2);
-
-    k = 0;
-    for (i = 0; i < nparts; i++)
-    {
-        dims[0] = np[i];
-        dims[1] = 2;
-        kdims[0] = np[i];
-        xyv = (PyArrayObject *) PyArray_SimpleNew(2, dims, NPY_DOUBLE);
-        if (xyv == NULL)  goto error;
-        kv = (PyArrayObject *) PyArray_SimpleNew(1, kdims, NPY_SHORT);
-        if (kv == NULL) goto error;
-
-        for (j = 0; j < dims[0]; j++)
-        {
-            ((double *)xyv->data)[2*j] = xp[k];
-            ((double *)xyv->data)[2*j+1] = yp[k];
-            ((short *)kv->data)[j] = kp[k];
-            k++;
-        }
-        if (PyList_SetItem(all_contours, i, (PyObject *)xyv)) goto error;
-        if (PyList_SetItem(all_contours, nparts+i,
-                                (PyObject *)kv)) goto error;
-    }
-    return all_contours;
-
-    error:
-    Py_XDECREF(all_contours);
-    return NULL;
-}
-
-#endif  /* preprocessing out the old version for now */
-
-
-/* cntr_trace is called once per contour level or level pair.
-   If nlevels is 1, a set of contour lines will be returned; if nlevels
-   is 2, the set of polygons bounded by the levels will be returned.
-   If points is True, the lines will be returned as a list of list
-   of points; otherwise, as a list of tuples of vectors.
-*/
-
-PyObject *
-cntr_trace(Csite *site, double levels[], int nlevels, long nchunk)
-{
-    PyObject *c_list = NULL;
-    double *xp0;
-    double *yp0;
-    short *kp0;
-    long *nseg0;
-    int iseg;
-
-    /* long nchunk = 30; was hardwired */
-    long n;
-    long nparts = 0;
-    long ntotal = 0;
-    long nparts2 = 0;
-    long ntotal2 = 0;
-
-    site->zlevel[0] = levels[0];
-    site->zlevel[1] = levels[0];
-    if (nlevels == 2)
-    {
-        site->zlevel[1] = levels[1];
-    }
-    site->n = site->count = 0;
-    data_init (site, nchunk);
-
-    /* make first pass to compute required sizes for second pass */
-    for (;;)
-    {
-        n = curve_tracer (site, 0);
-
-        if (!n)
-            break;
-        if (n > 0)
-        {
-            nparts++;
-            ntotal += n;
-        }
-        else
-        {
-            ntotal -= n;
-        }
-    }
-    xp0 = (double *) PyMem_Malloc(ntotal * sizeof(double));
-    yp0 = (double *) PyMem_Malloc(ntotal * sizeof(double));
-    kp0 = (short *) PyMem_Malloc(ntotal * sizeof(short));
-    nseg0 = (long *) PyMem_Malloc(nparts * sizeof(long));
-    if (xp0 == NULL || yp0 == NULL || kp0 == NULL || nseg0 == NULL) goto error;
-
-    /* second pass */
-    site->xcp = xp0;
-    site->ycp = yp0;
-    site->kcp = kp0;
-    iseg = 0;
-    for (;;iseg++)
-    {
-        n = curve_tracer (site, 1);
-        if (ntotal2 + n > ntotal)
-        {
-            PyErr_SetString(PyExc_RuntimeError,
-                "curve_tracer: ntotal2, pass 2 exceeds ntotal, pass 1");
-            goto error;
-        }
-        if (n == 0)
-            break;
-        if (n > 0)
-        {
-            /* could add array bounds checking */
-            nseg0[iseg] = n;
-            site->xcp += n;
-            site->ycp += n;
-            site->kcp += n;
-            ntotal2 += n;
-            nparts2++;
-        }
-        else
-        {
-            PyErr_SetString(PyExc_RuntimeError,
-                "Negative n from curve_tracer in pass 2");
-            goto error;
-        }
-    }
-
-    c_list = build_cntr_list_v2(nseg0, xp0, yp0, kp0, nparts, ntotal);
-
-    PyMem_Free(xp0);
-    PyMem_Free(yp0);
-    PyMem_Free(kp0);
-    PyMem_Free(nseg0);
-    site->xcp = NULL;
-    site->ycp = NULL;
-    site->kcp = NULL;
-    return c_list;
-
-    error:
-    PyMem_Free(xp0);
-    PyMem_Free(yp0);
-    PyMem_Free(kp0);
-    PyMem_Free(nseg0);
-    site->xcp = NULL;
-    site->ycp = NULL;
-    site->kcp = NULL;
-    Py_XDECREF(c_list);
-    return NULL;
-}
-
-/******* Make an extension type.  Based on the tutorial.************/
-
-/* site points to the data arrays in the arrays pointed to
-   by xpa, ypa, zpa, and mpa, so we include them in the
-   structure so we can ensure they are not deleted until
-   we have finished using them.
-*/
-typedef struct {
-    PyObject_HEAD
-    PyArrayObject *xpa, *ypa, *zpa, *mpa;
-    Csite *site;
-} Cntr;
-
-
-static int
-Cntr_clear(Cntr* self)
-{
-    PyArrayObject *tmp;
-
-    cntr_del(self->site);
-
-    tmp = self->xpa;
-    self->xpa = NULL;
-    Py_XDECREF(tmp);
-
-    tmp = self->ypa;
-    self->ypa = NULL;
-    Py_XDECREF(tmp);
-
-    tmp = self->zpa;
-    self->zpa = NULL;
-    Py_XDECREF(tmp);
-
-    tmp = self->mpa;
-    self->mpa = NULL;
-    Py_XDECREF(tmp);
-    return 0;
-}
-
-static void
-Cntr_dealloc(Cntr* self)
-{
-    Cntr_clear(self);
-    #if PY3K
-        Py_TYPE(self)->tp_free((PyObject*)self);
-    #else
-        self->ob_type->tp_free((PyObject*)self);
-    #endif
-}
-
-static PyObject *
-Cntr_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    Cntr *self;
-
-    self = (Cntr *)type->tp_alloc(type, 0);
-    if (self != NULL)
-    {
-        self->site = cntr_new();
-        if (self->site == NULL)
-        {
-            PyErr_SetString(PyExc_MemoryError,
-                "Memory allocation failed in cntr_new.");
-            Py_XDECREF(self);
-            return NULL;
-        }
-        self->xpa = NULL;
-        self->ypa = NULL;
-        self->zpa = NULL;
-        self->mpa = NULL;
-    }
-
-    return (PyObject *)self;
-}
-
-static int
-Cntr_init(Cntr *self, PyObject *args, PyObject *kwds)
-{
-    static const char *kwlist[] = {"x", "y", "z", "mask", NULL};
-    PyObject *xarg, *yarg, *zarg, *marg;
-    PyArrayObject *xpa, *ypa, *zpa, *mpa;
-    long iMax, jMax;
-    char *mask;
-
-    marg = NULL;
-
-    if (! PyArg_ParseTupleAndKeywords(args, kwds, "OOO|O", (char **)kwlist,
-                                      &xarg, &yarg, &zarg, &marg))
-        return -1;
-    if (marg == Py_None)
-        marg = NULL;
-
-    if (!PyArray_Check(xarg) || !PyArray_Check(yarg) ||
-        !PyArray_Check(zarg) || (marg && !PyArray_Check(marg)))
-    {
-        PyErr_SetString(PyExc_TypeError,
-            "Arguments x, y, z, (optional) mask  must be arrays.");
-        return -1;
-    }
-
-    xpa = (PyArrayObject *) PyArray_ContiguousFromObject(xarg,
-                                                      NPY_DOUBLE, 2, 2);
-    ypa = (PyArrayObject *) PyArray_ContiguousFromObject(yarg,
-                                                      NPY_DOUBLE, 2, 2);
-    zpa = (PyArrayObject *) PyArray_ContiguousFromObject(zarg,
-                                                      NPY_DOUBLE, 2, 2);
-    if (marg)
-        mpa = (PyArrayObject *) PyArray_ContiguousFromObject(marg,
-                                                      NPY_BYTE, 2, 2);
-    else
-        mpa = NULL;
-
-    if (xpa == NULL || ypa == NULL || zpa == NULL || (marg && mpa == NULL))
-    {
-        PyErr_SetString(PyExc_ValueError,
-            "Arguments x, y, z, mask (if present) must be 2D arrays.\n"
-            "x, y, z must be castable to double.");
-        goto error;
-    }
-    iMax = PyArray_DIM(zpa, 1);
-    jMax = PyArray_DIM(zpa, 0);
-    if (PyArray_DIM(xpa, 0) != jMax || PyArray_DIM(xpa, 1) != iMax ||
-        PyArray_DIM(ypa, 0) != jMax || PyArray_DIM(ypa, 1) != iMax ||
-        (mpa && (PyArray_DIM(mpa, 0) != jMax || PyArray_DIM(mpa, 1) != iMax)))
-    {
-        PyErr_SetString(PyExc_ValueError,
-            "Arguments x, y, z, mask (if present)"
-             " must have the same dimensions.");
-        goto error;
-    }
-    if (mpa) mask = PyArray_DATA(mpa);
-    else     mask = NULL;
-    if ( cntr_init(self->site, iMax, jMax, (double *)PyArray_DATA(xpa),
-                            (double *)PyArray_DATA(ypa),
-                            (double *)PyArray_DATA(zpa), mask))
-    {
-        PyErr_SetString(PyExc_MemoryError,
-            "Memory allocation failure in cntr_init");
-        goto error;
-    }
-    self->xpa = xpa;
-    self->ypa = ypa;
-    self->zpa = zpa;
-    self->mpa = mpa;
-    return 0;
-
-    error:
-    Py_XDECREF(xpa);
-    Py_XDECREF(ypa);
-    Py_XDECREF(zpa);
-    Py_XDECREF(mpa);
-    return -1;
-}
-
-static PyObject *
-Cntr_trace(Cntr *self, PyObject *args, PyObject *kwds)
-{
-    double levels[2] = {0.0, -1e100};
-    int nlevels = 2;
-    long nchunk = 0L;
-    static const char *kwlist[] = {"level0", "level1",  "nchunk", NULL};
-
-    if (! PyArg_ParseTupleAndKeywords(args, kwds, "d|dl", (char **)kwlist,
-                                      levels, levels+1, &nchunk))
-    {
-        return NULL;
-    }
-    if (levels[1] == -1e100 || levels[1] <= levels[0])
-        nlevels = 1;
-    return cntr_trace(self->site, levels, nlevels, nchunk);
-}
-
-/* The following will not normally be called.  It is experimental,
-   and intended for future debugging.  It may go away at any time.
-*/
-static PyObject *
-Cntr_get_cdata(Cntr *self)
-{
-    PyArrayObject *Cdata;
-    npy_intp dims[2];
-    int i, j;
-    int ni, nj;
-    char *data;
-
-    dims[0] = ni = self->site->imax;
-    dims[1] = nj = self->site->jmax;
-
-    Cdata = (PyArrayObject *) PyArray_SimpleNew(2, dims, NPY_SHORT);
-    data = PyArray_DATA(Cdata);
-    for (j=0; j<nj; j++)
-        for (i=0; i<ni; i++)
-            data[j + i*nj] = self->site->data[i + j*ni];
-            /* output is C-order, input is F-order */
-    /* for now we are ignoring the last ni+1 values */
-    return (PyObject *)Cdata;
-}
-
-static PyMethodDef Cntr_methods[] = {
-    {"trace", (PyCFunction)Cntr_trace, METH_VARARGS | METH_KEYWORDS,
-     "Return a list of contour line segments or polygons.\n\n"
-     "    Required argument: level0, a contour level\n"
-     "    Optional argument: level1; if given, and if level1 > level0,\n"
-     "        then the contours will be polygons surrounding areas between\n"
-     "        the levels.\n"
-     "    Optional argument: points; if 0 (default), return a list of\n"
-     "        vector pairs; otherwise, return a list of lists of points.\n"
-     "    Optional argument: nchunk; approximate number of grid points\n"
-     "        per chunk. 0 (default) for no chunking.\n"
-    },
-    {"get_cdata", (PyCFunction)Cntr_get_cdata, METH_NOARGS,
-     "Returns a copy of the mesh array with contour calculation codes.\n\n"
-     "Experimental and incomplete; we are not returning quite all of\n"
-     "the array.\n"
-     "Don't call this unless you are exploring the dark recesses of cntr.c\n"
-    },
-    {0, 0, 0, 0}  /* Sentinel */
-};
-
-static PyTypeObject CntrType = {
-    #if PY3K
-        PyVarObject_HEAD_INIT(NULL, 0)
-    #else
-        PyObject_HEAD_INIT(NULL)
-        0,                         /*ob_size*/
-    #endif
-    "cntr.Cntr",               /*tp_name*/
-    sizeof(Cntr),              /*tp_basicsize*/
-    0,                         /*tp_itemsize*/
-    (destructor)Cntr_dealloc,  /*tp_dealloc*/
-    0,                         /*tp_print*/
-    0,                         /*tp_getattr*/
-    0,                         /*tp_setattr*/
-    0,                         /*tp_compare*/
-    0,                         /*tp_repr*/
-    0,                         /*tp_as_number*/
-    0,                         /*tp_as_sequence*/
-    0,                         /*tp_as_mapping*/
-    0,                         /*tp_hash */
-    0,                         /*tp_call*/
-    0,                         /*tp_str*/
-    0,                         /*tp_getattro*/
-    0,                         /*tp_setattro*/
-    0,                         /*tp_as_buffer*/
-    Py_TPFLAGS_DEFAULT,        /*tp_flags*/
-    "Contour engine",          /* tp_doc */
-    0,                         /* tp_traverse */
-    (inquiry)Cntr_clear,       /* tp_clear */
-    0,                         /* tp_richcompare */
-    0,                         /* tp_weaklistoffset */
-    0,                         /* tp_iter */
-    0,                         /* tp_iternext */
-    Cntr_methods,              /* tp_methods */
-    0,                         /* tp_members */
-    0,                         /* tp_getset */
-    0,                         /* tp_base */
-    0,                         /* tp_dict */
-    0,                         /* tp_descr_get */
-    0,                         /* tp_descr_set */
-    0,                         /* tp_dictoffset */
-    (initproc)Cntr_init,       /* tp_init */
-    0,                         /* tp_alloc */
-    Cntr_new,                  /* tp_new */
-};
-
-static PyMethodDef module_methods[] = {
-    {NULL}  /* Sentinel */
-};
-
-#if PY3K
-static PyModuleDef cntr_module = {
-    PyModuleDef_HEAD_INIT,
-    "_cntr",
-    "Contouring engine as an extension type (numpy).",
-    -1,
-    module_methods,
-    NULL, NULL, NULL, NULL
-};
-
-#define ERROR_RETURN return NULL
-
-PyMODINIT_FUNC
-PyInit__cntr(void)
-#else
-#define ERROR_RETURN return
-
-PyMODINIT_FUNC
-init_cntr(void)
-#endif
-{
-    PyObject* m;
-
-    if (PyType_Ready(&CntrType) < 0) {
-        ERROR_RETURN;
-    }
-
-    #if PY3K
-        m = PyModule_Create(&cntr_module);
-    #else
-        m = Py_InitModule3("_cntr", module_methods,
-                           "Contouring engine as an extension type (numpy).");
-    #endif
-
-    if (m == NULL) {
-        ERROR_RETURN;
-    }
-
-    PyModule_AddIntConstant(m, "_slitkind", (long)kind_slit_up );
-    /* We can add all the point_kinds values later if we need them. */
-    import_array();
-
-    Py_INCREF(&CntrType);
-    PyModule_AddObject(m, "Cntr", (PyObject *)&CntrType);
-
-    #if PY3K
-        return m;
-    #endif
-}
diff --git a/src/doc/segment_intersects_rectangle.svg b/src/doc/segment_intersects_rectangle.svg
new file mode 100644
index 000000000000..6c5f82fc2bac
--- /dev/null
+++ b/src/doc/segment_intersects_rectangle.svg
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+       id="text5138-2-2-0-28-5"><tspan
+         sodipodi:role="line"
+         x="220"
+         y="1024.5197"
+         style="font-size:8px;text-align:center;text-anchor:middle"
+         id="tspan5156-1-7-9-9-6">(0,0)</tspan></text>
+    <text
+       xml:space="preserve"
+       style="color:#000000;font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:13.33333302px;font-family:'DejaVu Sans';-inkscape-font-specification:'DejaVu Sans';text-indent:0;text-align:center;text-decoration:none;text-decoration-line:none;letter-spacing:0px;word-spacing:0px;text-transform:none;writing-mode:lr-tb;direction:ltr;baseline-shift:baseline;text-anchor:middle;display:inline;overflow:visible;visibility:visible;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker:none;enable-background:accumulate"
+       x="520"
+       y="584.51965"
+       id="text5138-2-2-0-28"><tspan
+         sodipodi:role="line"
+         x="520"
+         y="584.51965"
+         style="font-size:8px;text-align:center;text-anchor:middle"
+         id="tspan5156-1-7-9-9">(0,0)</tspan></text>
+    <text
+       xml:space="preserve"
+       style="color:#000000;font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:13.33333302px;font-family:'DejaVu Sans';-inkscape-font-specification:'DejaVu Sans';text-indent:0;text-align:center;text-decoration:none;text-decoration-line:none;letter-spacing:0px;word-spacing:0px;text-transform:none;writing-mode:lr-tb;direction:ltr;baseline-shift:baseline;text-anchor:middle;display:inline;overflow:visible;visibility:visible;fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker:none;enable-background:accumulate"
+       x="480.00003"
+       y="782.51965"
+       id="text5138-2-6-1-3-1-3-3"><tspan
+         sodipodi:role="line"
+         x="480.00003"
+         y="782.51965"
+         style="font-size:8px;text-align:center;text-anchor:middle"
+         id="tspan14923-7">&lt; w/2 * abs(y1-y2) + h/2 * abs(x1-x2)</tspan></text>
+  </g>
+</svg>
diff --git a/src/file_compat.h b/src/file_compat.h
deleted file mode 100644
index a8f04eaeddca..000000000000
--- a/src/file_compat.h
+++ /dev/null
@@ -1,217 +0,0 @@
-#ifndef __FILE_COMPAT_H__
-#define __FILE_COMPAT_H__
-
-#include <Python.h>
-#include <stdio.h>
-#include "numpy/npy_common.h"
-#include "numpy/ndarrayobject.h"
-#include "mplutils.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-#if defined(_MSC_VER) && defined(_WIN64) && (_MSC_VER > 1400)
-    #include <io.h>
-    #define mpl_fseek _fseeki64
-    #define mpl_ftell _ftelli64
-    #define mpl_lseek _lseeki64
-    #define mpl_off_t npy_int64
-
-    #if NPY_SIZEOF_INT == 8
-        #define MPL_OFF_T_PYFMT "i"
-    #elif NPY_SIZEOF_LONG == 8
-        #define MPL_OFF_T_PYFMT "l"
-    #elif NPY_SIZEOF_LONGLONG == 8
-        #define MPL_OFF_T_PYFMT "L"
-    #else
-        #error Unsupported size for type off_t
-    #endif
-#else
-    #define mpl_fseek fseek
-    #define mpl_ftell ftell
-    #define mpl_lseek lseek
-    #define mpl_off_t off_t
-
-    #if NPY_SIZEOF_INT == NPY_SIZEOF_SHORT
-        #define MPL_OFF_T_PYFMT "h"
-    #elif NPY_SIZEOF_INT == NPY_SIZEOF_INT
-        #define MPL_OFF_T_PYFMT "i"
-    #elif NPY_SIZEOF_INT == NPY_SIZEOF_LONG
-        #define MPL_OFF_T_PYFMT "l"
-    #elif NPY_SIZEOF_INT == NPY_SIZEOF_LONGLONG
-        #define MPL_OFF_T_PYFMT "L"
-    #else
-        #error Unsupported size for type off_t
-    #endif
-#endif
-
-/*
- * PyFile_* compatibility
- */
-#if PY3K
-
-/*
- * Get a FILE* handle to the file represented by the Python object
- */
-static NPY_INLINE FILE *mpl_PyFile_Dup(PyObject *file, char *mode, mpl_off_t *orig_pos)
-{
-    int fd, fd2;
-    PyObject *ret, *os;
-    mpl_off_t pos;
-    FILE *handle;
-
-    /* Flush first to ensure things end up in the file in the correct order */
-    ret = PyObject_CallMethod(file, (char *)"flush", (char *)"");
-    if (ret == NULL) {
-        return NULL;
-    }
-    Py_DECREF(ret);
-    fd = PyObject_AsFileDescriptor(file);
-    if (fd == -1) {
-        return NULL;
-    }
-
-    /* The handle needs to be dup'd because we have to call fclose
-       at the end */
-    os = PyImport_ImportModule("os");
-    if (os == NULL) {
-        return NULL;
-    }
-    ret = PyObject_CallMethod(os, (char *)"dup", (char *)"i", fd);
-    Py_DECREF(os);
-    if (ret == NULL) {
-        return NULL;
-    }
-    fd2 = PyNumber_AsSsize_t(ret, NULL);
-    Py_DECREF(ret);
-
-/* Convert to FILE* handle */
-#ifdef _WIN32
-    handle = _fdopen(fd2, mode);
-#else
-    handle = fdopen(fd2, mode);
-#endif
-    if (handle == NULL) {
-        PyErr_SetString(PyExc_IOError, "Getting a FILE* from a Python file object failed");
-    }
-
-    /* Record the original raw file handle position */
-    *orig_pos = mpl_ftell(handle);
-    if (*orig_pos == -1) {
-        // handle is a stream, so we don't have to worry about this
-        return handle;
-    }
-
-    /* Seek raw handle to the Python-side position */
-    ret = PyObject_CallMethod(file, (char *)"tell", (char *)"");
-    if (ret == NULL) {
-        fclose(handle);
-        return NULL;
-    }
-    pos = PyNumber_AsSsize_t(ret, PyExc_OverflowError);
-    Py_DECREF(ret);
-    if (PyErr_Occurred()) {
-        fclose(handle);
-        return NULL;
-    }
-    if (mpl_fseek(handle, pos, SEEK_SET) == -1) {
-        PyErr_SetString(PyExc_IOError, "seeking file failed");
-        return NULL;
-    }
-    return handle;
-}
-
-/*
- * Close the dup-ed file handle, and seek the Python one to the current position
- */
-static NPY_INLINE int mpl_PyFile_DupClose(PyObject *file, FILE *handle, mpl_off_t orig_pos)
-{
-    int fd;
-    PyObject *ret;
-    mpl_off_t position;
-
-    position = mpl_ftell(handle);
-
-    /* Close the FILE* handle */
-    fclose(handle);
-
-    /* Restore original file handle position, in order to not confuse
-       Python-side data structures */
-    fd = PyObject_AsFileDescriptor(file);
-    if (fd == -1) {
-        return -1;
-    }
-    if (mpl_lseek(fd, orig_pos, SEEK_SET) != -1) {
-        if (position == -1) {
-            PyErr_SetString(PyExc_IOError, "obtaining file position failed");
-            return -1;
-        }
-
-        /* Seek Python-side handle to the FILE* handle position */
-        ret = PyObject_CallMethod(file, (char *)"seek", (char *)(MPL_OFF_T_PYFMT "i"), position, 0);
-        if (ret == NULL) {
-            return -1;
-        }
-        Py_DECREF(ret);
-    }
-    return 0;
-}
-
-static NPY_INLINE int mpl_PyFile_Check(PyObject *file)
-{
-    int fd;
-    fd = PyObject_AsFileDescriptor(file);
-    if (fd == -1) {
-        PyErr_Clear();
-        return 0;
-    }
-    return 1;
-}
-
-#else
-
-static NPY_INLINE FILE *mpl_PyFile_Dup(PyObject *file, const char *mode, mpl_off_t *orig_pos)
-{
-    return PyFile_AsFile(file);
-}
-
-static NPY_INLINE int mpl_PyFile_DupClose(PyObject *file, FILE *handle, mpl_off_t orig_pos)
-{
-    // deliberately nothing
-    return 0;
-}
-
-static NPY_INLINE int mpl_PyFile_Check(PyObject *file)
-{
-    return PyFile_Check(file);
-}
-
-#endif
-
-static NPY_INLINE PyObject *mpl_PyFile_OpenFile(PyObject *filename, const char *mode)
-{
-    PyObject *open;
-    open = PyDict_GetItemString(PyEval_GetBuiltins(), "open");
-    if (open == NULL) {
-        return NULL;
-    }
-    return PyObject_CallFunction(open, (char *)"Os", filename, mode);
-}
-
-static NPY_INLINE int mpl_PyFile_CloseFile(PyObject *file)
-{
-    PyObject *ret;
-
-    ret = PyObject_CallMethod(file, (char *)"close", NULL);
-    if (ret == NULL) {
-        return -1;
-    }
-    Py_DECREF(ret);
-    return 0;
-}
-
-#ifdef __cplusplus
-}
-#endif
-
-#endif /* ifndef __FILE_COMPAT_H__ */
diff --git a/src/ft2font.cpp b/src/ft2font.cpp
index f07f07942f82..bdfa2873ca80 100644
--- a/src/ft2font.cpp
+++ b/src/ft2font.cpp
@@ -1,8 +1,13 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-#define NO_IMPORT_ARRAY
-
+#include <algorithm>
+#include <cstdio>
+#include <iterator>
+#include <set>
+#include <sstream>
+#include <stdexcept>
 #include <string>
+#include <vector>
 
 #include "ft2font.h"
 #include "mplutils.h"
@@ -15,7 +20,7 @@
  To improve the hinting of the fonts, this code uses a hack
  presented here:
 
- http://antigrain.com/research/font_rasterization/index.html
+ http://agg.sourceforge.net/antigrain.com/research/font_rasterization/index.html
 
  The idea is to limit the effect of hinting in the x-direction, while
  preserving hinting in the y-direction.  Since freetype does not
@@ -24,8 +29,8 @@
  transform is placed on the font to shrink it back to the desired
  size.  While it is a bit surprising that the dpi setting affects
  hinting, whereas the global transform does not, this is documented
- behavior of freetype, and therefore hopefully unlikely to change.
- The freetype 2 tutorial says:
+ behavior of FreeType, and therefore hopefully unlikely to change.
+ The FreeType 2 tutorial says:
 
       NOTE: The transformation is applied to every glyph that is
       loaded through FT_Load_Glyph and is completely independent of
@@ -38,74 +43,44 @@
 
 FT_Library _ft2Library;
 
-FT2Image::FT2Image() : m_dirty(true), m_buffer(NULL), m_width(0), m_height(0)
-{
-}
-
 FT2Image::FT2Image(unsigned long width, unsigned long height)
-    : m_dirty(true), m_buffer(NULL), m_width(0), m_height(0)
+    : m_buffer((unsigned char *)calloc(width * height, 1)), m_width(width), m_height(height)
 {
-    resize(width, height);
 }
 
 FT2Image::~FT2Image()
 {
-    delete[] m_buffer;
+    free(m_buffer);
 }
 
-void FT2Image::resize(long width, long height)
+void draw_bitmap(
+    py::array_t<uint8_t, py::array::c_style> im, FT_Bitmap *bitmap, FT_Int x, FT_Int y)
 {
-    if (width < 0) {
-        width = 1;
-    }
-    if (height < 0) {
-        height = 1;
-    }
-    size_t numBytes = width * height;
+    auto buf = im.mutable_data(0);
 
-    if ((unsigned long)width != m_width || (unsigned long)height != m_height) {
-        if (numBytes > m_width * m_height) {
-            delete[] m_buffer;
-            m_buffer = NULL;
-            m_buffer = new unsigned char[numBytes];
-        }
-
-        m_width = (unsigned long)width;
-        m_height = (unsigned long)height;
-    }
-
-    if (numBytes && m_buffer) {
-        memset(m_buffer, 0, numBytes);
-    }
-
-    m_dirty = true;
-}
-
-void FT2Image::draw_bitmap(FT_Bitmap *bitmap, FT_Int x, FT_Int y)
-{
-    FT_Int image_width = (FT_Int)m_width;
-    FT_Int image_height = (FT_Int)m_height;
+    FT_Int image_width = (FT_Int)im.shape(1);
+    FT_Int image_height = (FT_Int)im.shape(0);
     FT_Int char_width = bitmap->width;
     FT_Int char_height = bitmap->rows;
 
-    FT_Int x1 = CLAMP(x, 0, image_width);
-    FT_Int y1 = CLAMP(y, 0, image_height);
-    FT_Int x2 = CLAMP(x + char_width, 0, image_width);
-    FT_Int y2 = CLAMP(y + char_height, 0, image_height);
+    FT_Int x1 = std::min(std::max(x, 0), image_width);
+    FT_Int y1 = std::min(std::max(y, 0), image_height);
+    FT_Int x2 = std::min(std::max(x + char_width, 0), image_width);
+    FT_Int y2 = std::min(std::max(y + char_height, 0), image_height);
 
-    FT_Int x_start = MAX(0, -x);
-    FT_Int y_offset = y1 - MAX(0, -y);
+    FT_Int x_start = std::max(0, -x);
+    FT_Int y_offset = y1 - std::max(0, -y);
 
     if (bitmap->pixel_mode == FT_PIXEL_MODE_GRAY) {
         for (FT_Int i = y1; i < y2; ++i) {
-            unsigned char *dst = m_buffer + (i * image_width + x1);
+            unsigned char *dst = buf + (i * image_width + x1);
             unsigned char *src = bitmap->buffer + (((i - y_offset) * bitmap->pitch) + x_start);
             for (FT_Int j = x1; j < x2; ++j, ++dst, ++src)
                 *dst |= *src;
         }
     } else if (bitmap->pixel_mode == FT_PIXEL_MODE_MONO) {
         for (FT_Int i = y1; i < y2; ++i) {
-            unsigned char *dst = m_buffer + (i * image_width + x1);
+            unsigned char *dst = buf + (i * image_width + x1);
             unsigned char *src = bitmap->buffer + ((i - y_offset) * bitmap->pitch);
             for (FT_Int j = x1; j < x2; ++j, ++dst) {
                 int x = (j - x1 + x_start);
@@ -114,31 +89,8 @@ void FT2Image::draw_bitmap(FT_Bitmap *bitmap, FT_Int x, FT_Int y)
             }
         }
     } else {
-        throw "Unknown pixel mode";
-    }
-
-    m_dirty = true;
-}
-
-void FT2Image::draw_rect(unsigned long x0, unsigned long y0, unsigned long x1, unsigned long y1)
-{
-    if (x0 > m_width || x1 > m_width || y0 > m_height || y1 > m_height) {
-        throw "Rect coords outside image bounds";
-    }
-
-    size_t top = y0 * m_width;
-    size_t bottom = y1 * m_width;
-    for (size_t i = x0; i < x1 + 1; ++i) {
-        m_buffer[i + top] = 255;
-        m_buffer[i + bottom] = 255;
+        throw std::runtime_error("Unknown pixel mode");
     }
-
-    for (size_t j = y0 + 1; j < y1; ++j) {
-        m_buffer[x0 + j * m_width] = 255;
-        m_buffer[x1 + j * m_width] = 255;
-    }
-
-    m_dirty = true;
 }
 
 void
@@ -146,378 +98,143 @@ FT2Image::draw_rect_filled(unsigned long x0, unsigned long y0, unsigned long x1,
 {
     x0 = std::min(x0, m_width);
     y0 = std::min(y0, m_height);
-    x1 = std::min(x1, m_width);
-    y1 = std::min(y1, m_height);
+    x1 = std::min(x1 + 1, m_width);
+    y1 = std::min(y1 + 1, m_height);
 
-    for (size_t j = y0; j < y1 + 1; j++) {
-        for (size_t i = x0; i < x1 + 1; i++) {
+    for (size_t j = y0; j < y1; j++) {
+        for (size_t i = x0; i < x1; i++) {
             m_buffer[i + j * m_width] = 255;
         }
     }
-
-    m_dirty = true;
 }
 
-inline double conv(long v)
+// ft_outline_decomposer should be passed to FT_Outline_Decompose.
+struct ft_outline_decomposer
 {
-    return double(v) / 64.0;
-}
+    std::vector<double> &vertices;
+    std::vector<unsigned char> &codes;
+};
 
-int FT2Font::get_path_count()
+static int
+ft_outline_move_to(FT_Vector const* to, void* user)
 {
-    // get the glyph as a path, a list of (COMMAND, *args) as desribed in matplotlib.path
-    // this code is from agg's decompose_ft_outline with minor modifications
-
-    if (!face->glyph) {
-        throw "No glyph loaded";
-    }
-
-    FT_Outline &outline = face->glyph->outline;
-
-    FT_Vector v_last;
-    FT_Vector v_control;
-    FT_Vector v_start;
-
-    FT_Vector *point;
-    FT_Vector *limit;
-    char *tags;
-
-    int n;     // index of contour in outline
-    int first; // index of first point in contour
-    char tag;  // current point's state
-    int count;
-
-    count = 0;
-    first = 0;
-    for (n = 0; n < outline.n_contours; n++) {
-        int last; // index of last point in contour
-        bool starts_with_last;
-
-        last = outline.contours[n];
-        limit = outline.points + last;
-
-        v_start = outline.points[first];
-        v_last = outline.points[last];
-
-        v_control = v_start;
-
-        point = outline.points + first;
-        tags = outline.tags + first;
-        tag = FT_CURVE_TAG(tags[0]);
-
-        // A contour cannot start with a cubic control point!
-        if (tag == FT_CURVE_TAG_CUBIC) {
-            throw "A contour cannot start with a cubic control point";
-        } else if (tag == FT_CURVE_TAG_CONIC) {
-            starts_with_last = true;
-        } else {
-            starts_with_last = false;
-        }
-
-        count++;
-
-        while (point < limit) {
-            if (!starts_with_last) {
-                point++;
-                tags++;
-            }
-            starts_with_last = false;
-
-            tag = FT_CURVE_TAG(tags[0]);
-            switch (tag) {
-            case FT_CURVE_TAG_ON: // emit a single line_to
-            {
-                count++;
-                continue;
-            }
-
-            case FT_CURVE_TAG_CONIC: // consume conic arcs
-            {
-            Count_Do_Conic:
-                if (point < limit) {
-                    point++;
-                    tags++;
-                    tag = FT_CURVE_TAG(tags[0]);
-
-                    if (tag == FT_CURVE_TAG_ON) {
-                        count += 2;
-                        continue;
-                    }
-
-                    if (tag != FT_CURVE_TAG_CONIC) {
-                        throw "Invalid font";
-                    }
-
-                    count += 2;
-
-                    goto Count_Do_Conic;
-                }
-
-                count += 2;
-
-                goto Count_Close;
-            }
-
-            default: // FT_CURVE_TAG_CUBIC
-            {
-                if (point + 1 > limit || FT_CURVE_TAG(tags[1]) != FT_CURVE_TAG_CUBIC) {
-                    throw "Invalid font";
-                }
-
-                point += 2;
-                tags += 2;
-
-                if (point <= limit) {
-                    count += 3;
-                    continue;
-                }
-
-                count += 3;
-
-                goto Count_Close;
-            }
-            }
-        }
-
-        count++;
-
-    Count_Close:
-        first = last + 1;
-    }
-
-    return count;
+    ft_outline_decomposer* d = reinterpret_cast<ft_outline_decomposer*>(user);
+    if (!d->vertices.empty()) {
+        // Appending CLOSEPOLY is important to make patheffects work.
+        d->vertices.push_back(0);
+        d->vertices.push_back(0);
+        d->codes.push_back(CLOSEPOLY);
+    }
+    d->vertices.push_back(to->x * (1. / 64.));
+    d->vertices.push_back(to->y * (1. / 64.));
+    d->codes.push_back(MOVETO);
+    return 0;
 }
 
-void FT2Font::get_path(double *outpoints, unsigned char *outcodes)
+static int
+ft_outline_line_to(FT_Vector const* to, void* user)
 {
-    FT_Outline &outline = face->glyph->outline;
-    bool flip_y = false; // todo, pass me as kwarg
-
-    FT_Vector v_last;
-    FT_Vector v_control;
-    FT_Vector v_start;
-
-    FT_Vector *point;
-    FT_Vector *limit;
-    char *tags;
-
-    int n;     // index of contour in outline
-    int first; // index of first point in contour
-    char tag;  // current point's state
-
-    first = 0;
-    for (n = 0; n < outline.n_contours; n++) {
-        int last; // index of last point in contour
-        bool starts_with_last;
-
-        last = outline.contours[n];
-        limit = outline.points + last;
-
-        v_start = outline.points[first];
-        v_last = outline.points[last];
-
-        v_control = v_start;
-
-        point = outline.points + first;
-        tags = outline.tags + first;
-        tag = FT_CURVE_TAG(tags[0]);
-
-        double x, y;
-        if (tag != FT_CURVE_TAG_ON) {
-            x = conv(v_last.x);
-            y = flip_y ? -conv(v_last.y) : conv(v_last.y);
-            starts_with_last = true;
-        } else {
-            x = conv(v_start.x);
-            y = flip_y ? -conv(v_start.y) : conv(v_start.y);
-            starts_with_last = false;
-        }
-
-        *(outpoints++) = x;
-        *(outpoints++) = y;
-        *(outcodes++) = MOVETO;
-
-        while (point < limit) {
-            if (!starts_with_last) {
-                point++;
-                tags++;
-            }
-            starts_with_last = false;
-
-            tag = FT_CURVE_TAG(tags[0]);
-            switch (tag) {
-            case FT_CURVE_TAG_ON: // emit a single line_to
-            {
-                double x = conv(point->x);
-                double y = flip_y ? -conv(point->y) : conv(point->y);
-                *(outpoints++) = x;
-                *(outpoints++) = y;
-                *(outcodes++) = LINETO;
-                continue;
-            }
+    ft_outline_decomposer* d = reinterpret_cast<ft_outline_decomposer*>(user);
+    d->vertices.push_back(to->x * (1. / 64.));
+    d->vertices.push_back(to->y * (1. / 64.));
+    d->codes.push_back(LINETO);
+    return 0;
+}
 
-            case FT_CURVE_TAG_CONIC: // consume conic arcs
-            {
-                v_control.x = point->x;
-                v_control.y = point->y;
-
-            Do_Conic:
-                if (point < limit) {
-                    FT_Vector vec;
-                    FT_Vector v_middle;
-
-                    point++;
-                    tags++;
-                    tag = FT_CURVE_TAG(tags[0]);
-
-                    vec.x = point->x;
-                    vec.y = point->y;
-
-                    if (tag == FT_CURVE_TAG_ON) {
-                        double xctl = conv(v_control.x);
-                        double yctl = flip_y ? -conv(v_control.y) : conv(v_control.y);
-                        double xto = conv(vec.x);
-                        double yto = flip_y ? -conv(vec.y) : conv(vec.y);
-                        *(outpoints++) = xctl;
-                        *(outpoints++) = yctl;
-                        *(outpoints++) = xto;
-                        *(outpoints++) = yto;
-                        *(outcodes++) = CURVE3;
-                        *(outcodes++) = CURVE3;
-                        continue;
-                    }
-
-                    v_middle.x = (v_control.x + vec.x) / 2;
-                    v_middle.y = (v_control.y + vec.y) / 2;
-
-                    double xctl = conv(v_control.x);
-                    double yctl = flip_y ? -conv(v_control.y) : conv(v_control.y);
-                    double xto = conv(v_middle.x);
-                    double yto = flip_y ? -conv(v_middle.y) : conv(v_middle.y);
-                    *(outpoints++) = xctl;
-                    *(outpoints++) = yctl;
-                    *(outpoints++) = xto;
-                    *(outpoints++) = yto;
-                    *(outcodes++) = CURVE3;
-                    *(outcodes++) = CURVE3;
-
-                    v_control = vec;
-                    goto Do_Conic;
-                }
-                double xctl = conv(v_control.x);
-                double yctl = flip_y ? -conv(v_control.y) : conv(v_control.y);
-                double xto = conv(v_start.x);
-                double yto = flip_y ? -conv(v_start.y) : conv(v_start.y);
-
-                *(outpoints++) = xctl;
-                *(outpoints++) = yctl;
-                *(outpoints++) = xto;
-                *(outpoints++) = yto;
-                *(outcodes++) = CURVE3;
-                *(outcodes++) = CURVE3;
-
-                goto Close;
-            }
+static int
+ft_outline_conic_to(FT_Vector const* control, FT_Vector const* to, void* user)
+{
+    ft_outline_decomposer* d = reinterpret_cast<ft_outline_decomposer*>(user);
+    d->vertices.push_back(control->x * (1. / 64.));
+    d->vertices.push_back(control->y * (1. / 64.));
+    d->vertices.push_back(to->x * (1. / 64.));
+    d->vertices.push_back(to->y * (1. / 64.));
+    d->codes.push_back(CURVE3);
+    d->codes.push_back(CURVE3);
+    return 0;
+}
 
-            default: // FT_CURVE_TAG_CUBIC
-            {
-                FT_Vector vec1, vec2;
-
-                vec1.x = point[0].x;
-                vec1.y = point[0].y;
-                vec2.x = point[1].x;
-                vec2.y = point[1].y;
-
-                point += 2;
-                tags += 2;
-
-                if (point <= limit) {
-                    FT_Vector vec;
-
-                    vec.x = point->x;
-                    vec.y = point->y;
-
-                    double xctl1 = conv(vec1.x);
-                    double yctl1 = flip_y ? -conv(vec1.y) : conv(vec1.y);
-                    double xctl2 = conv(vec2.x);
-                    double yctl2 = flip_y ? -conv(vec2.y) : conv(vec2.y);
-                    double xto = conv(vec.x);
-                    double yto = flip_y ? -conv(vec.y) : conv(vec.y);
-
-                    (*outpoints++) = xctl1;
-                    (*outpoints++) = yctl1;
-                    (*outpoints++) = xctl2;
-                    (*outpoints++) = yctl2;
-                    (*outpoints++) = xto;
-                    (*outpoints++) = yto;
-                    (*outcodes++) = CURVE4;
-                    (*outcodes++) = CURVE4;
-                    (*outcodes++) = CURVE4;
-                    continue;
-                }
-
-                double xctl1 = conv(vec1.x);
-                double yctl1 = flip_y ? -conv(vec1.y) : conv(vec1.y);
-                double xctl2 = conv(vec2.x);
-                double yctl2 = flip_y ? -conv(vec2.y) : conv(vec2.y);
-                double xto = conv(v_start.x);
-                double yto = flip_y ? -conv(v_start.y) : conv(v_start.y);
-                (*outpoints++) = xctl1;
-                (*outpoints++) = yctl1;
-                (*outpoints++) = xctl2;
-                (*outpoints++) = yctl2;
-                (*outpoints++) = xto;
-                (*outpoints++) = yto;
-                (*outcodes++) = CURVE4;
-                (*outcodes++) = CURVE4;
-                (*outcodes++) = CURVE4;
-
-                goto Close;
-            }
-            }
-        }
+static int
+ft_outline_cubic_to(
+  FT_Vector const* c1, FT_Vector const* c2, FT_Vector const* to, void* user)
+{
+    ft_outline_decomposer* d = reinterpret_cast<ft_outline_decomposer*>(user);
+    d->vertices.push_back(c1->x * (1. / 64.));
+    d->vertices.push_back(c1->y * (1. / 64.));
+    d->vertices.push_back(c2->x * (1. / 64.));
+    d->vertices.push_back(c2->y * (1. / 64.));
+    d->vertices.push_back(to->x * (1. / 64.));
+    d->vertices.push_back(to->y * (1. / 64.));
+    d->codes.push_back(CURVE4);
+    d->codes.push_back(CURVE4);
+    d->codes.push_back(CURVE4);
+    return 0;
+}
 
-        (*outpoints++) = 0.0;
-        (*outpoints++) = 0.0;
-        (*outcodes++) = ENDPOLY;
+static FT_Outline_Funcs ft_outline_funcs = {
+    ft_outline_move_to,
+    ft_outline_line_to,
+    ft_outline_conic_to,
+    ft_outline_cubic_to};
 
-    Close:
-        first = last + 1;
-    }
+void
+FT2Font::get_path(std::vector<double> &vertices, std::vector<unsigned char> &codes)
+{
+    if (!face->glyph) {
+        throw std::runtime_error("No glyph loaded");
+    }
+    ft_outline_decomposer decomposer = {
+        vertices,
+        codes,
+    };
+    // We can make a close-enough estimate based on number of points and number of
+    // contours (which produce a MOVETO each), though it's slightly underestimating due
+    // to higher-order curves.
+    size_t estimated_points = static_cast<size_t>(face->glyph->outline.n_contours) +
+                              static_cast<size_t>(face->glyph->outline.n_points);
+    vertices.reserve(2 * estimated_points);
+    codes.reserve(estimated_points);
+    if (FT_Error error = FT_Outline_Decompose(
+            &face->glyph->outline, &ft_outline_funcs, &decomposer)) {
+        throw std::runtime_error("FT_Outline_Decompose failed with error " +
+                                 std::to_string(error));
+    }
+    if (vertices.empty()) {  // Don't append CLOSEPOLY to null glyphs.
+        return;
+    }
+    vertices.push_back(0);
+    vertices.push_back(0);
+    codes.push_back(CLOSEPOLY);
 }
 
-FT2Font::FT2Font(FT_Open_Args &open_args, long hinting_factor_) : image(), face(NULL)
+FT2Font::FT2Font(FT_Open_Args &open_args,
+                 long hinting_factor_,
+                 std::vector<FT2Font *> &fallback_list,
+                 FT2Font::WarnFunc warn, bool warn_if_used)
+    : ft_glyph_warn(warn), warn_if_used(warn_if_used), image({1, 1}), face(nullptr),
+      hinting_factor(hinting_factor_),
+      // set default kerning factor to 0, i.e., no kerning manipulation
+      kerning_factor(0)
 {
     clear();
-
-    int error = FT_Open_Face(_ft2Library, &open_args, 0, &face);
-
-    if (error == FT_Err_Unknown_File_Format) {
-        throw "Can not load face.  Unknown file format.";
-    } else if (error == FT_Err_Cannot_Open_Resource) {
-        throw "Can not load face.  Can not open resource.";
-    } else if (error == FT_Err_Invalid_File_Format) {
-        throw "Can not load face.  Invalid file format.";
-    } else if (error) {
-        throw "Can not load face.";
+    FT_CHECK(FT_Open_Face, _ft2Library, &open_args, 0, &face);
+    if (open_args.stream != nullptr) {
+        face->face_flags |= FT_FACE_FLAG_EXTERNAL_STREAM;
     }
-
-    // set a default fontsize 12 pt at 72dpi
-    hinting_factor = hinting_factor_;
-
-    error = FT_Set_Char_Size(face, 12 * 64, 0, 72 * (unsigned int)hinting_factor, 72);
-    if (error) {
-        throw "Could not set the fontsize";
+    try {
+        set_size(12., 72.);  // Set a default fontsize 12 pt at 72dpi.
+    } catch (...) {
+        FT_Done_Face(face);
+        throw;
     }
-
-    static FT_Matrix transform = { 65536 / hinting_factor, 0, 0, 65536 };
-    FT_Set_Transform(face, &transform, 0);
+    // Set fallbacks
+    std::copy(fallback_list.begin(), fallback_list.end(), std::back_inserter(fallbacks));
 }
 
 FT2Font::~FT2Font()
 {
-    for (size_t i = 0; i < glyphs.size(); i++) {
-        FT_Done_Glyph(glyphs[i]);
+    for (auto & glyph : glyphs) {
+        FT_Done_Glyph(glyph);
     }
 
     if (face) {
@@ -527,303 +244,429 @@ FT2Font::~FT2Font()
 
 void FT2Font::clear()
 {
-    angle = 0.0;
-
-    pen.x = 0;
-    pen.y = 0;
+    pen.x = pen.y = 0;
+    bbox.xMin = bbox.yMin = bbox.xMax = bbox.yMax = 0;
+    advance = 0;
 
-    for (size_t i = 0; i < glyphs.size(); i++) {
-        FT_Done_Glyph(glyphs[i]);
+    for (auto & glyph : glyphs) {
+        FT_Done_Glyph(glyph);
     }
 
     glyphs.clear();
+    glyph_to_font.clear();
+    char_to_font.clear();
+
+    for (auto & fallback : fallbacks) {
+        fallback->clear();
+    }
 }
 
 void FT2Font::set_size(double ptsize, double dpi)
 {
-    int error = FT_Set_Char_Size(
-        face, (long)(ptsize * 64), 0, (unsigned int)(dpi * hinting_factor), (unsigned int)dpi);
-    static FT_Matrix transform = { 65536 / hinting_factor, 0, 0, 65536 };
-    FT_Set_Transform(face, &transform, 0);
+    FT_CHECK(
+        FT_Set_Char_Size,
+        face, (FT_F26Dot6)(ptsize * 64), 0, (FT_UInt)(dpi * hinting_factor), (FT_UInt)dpi);
+    FT_Matrix transform = { 65536 / hinting_factor, 0, 0, 65536 };
+    FT_Set_Transform(face, &transform, nullptr);
 
-    if (error) {
-        throw "Could not set the fontsize";
+    for (auto & fallback : fallbacks) {
+        fallback->set_size(ptsize, dpi);
     }
 }
 
 void FT2Font::set_charmap(int i)
 {
     if (i >= face->num_charmaps) {
-        throw "i exceeds the available number of char maps";
-    }
-    FT_CharMap charmap = face->charmaps[i];
-    if (FT_Set_Charmap(face, charmap)) {
-        throw "Could not set the charmap";
+        throw std::runtime_error("i exceeds the available number of char maps");
     }
+    FT_CHECK(FT_Set_Charmap, face, face->charmaps[i]);
 }
 
 void FT2Font::select_charmap(unsigned long i)
 {
-    if (FT_Select_Charmap(face, (FT_Encoding)i)) {
-        throw "Could not set the charmap";
-    }
+    FT_CHECK(FT_Select_Charmap, face, (FT_Encoding)i);
 }
 
-FT_BBox FT2Font::compute_string_bbox()
+int FT2Font::get_kerning(FT_UInt left, FT_UInt right, FT_Kerning_Mode mode,
+                         bool fallback = false)
 {
-    FT_BBox bbox;
-    /* initialize string bbox to "empty" values */
-    bbox.xMin = bbox.yMin = 32000;
-    bbox.xMax = bbox.yMax = -32000;
-
-    int right_side = 0;
-    for (size_t n = 0; n < glyphs.size(); n++) {
-        FT_BBox glyph_bbox;
-        FT_Glyph_Get_CBox(glyphs[n], ft_glyph_bbox_subpixels, &glyph_bbox);
-        if (glyph_bbox.xMin < bbox.xMin) {
-            bbox.xMin = glyph_bbox.xMin;
+    if (fallback && glyph_to_font.find(left) != glyph_to_font.end() &&
+        glyph_to_font.find(right) != glyph_to_font.end()) {
+        FT2Font *left_ft_object = glyph_to_font[left];
+        FT2Font *right_ft_object = glyph_to_font[right];
+        if (left_ft_object != right_ft_object) {
+            // we do not know how to do kerning between different fonts
+            return 0;
         }
-        if (glyph_bbox.yMin < bbox.yMin) {
-            bbox.yMin = glyph_bbox.yMin;
-        }
-        if (glyph_bbox.xMin == glyph_bbox.xMax) {
-            right_side += glyphs[n]->advance.x >> 10;
-            if (right_side > bbox.xMax) {
-                bbox.xMax = right_side;
-            }
-        } else {
-            if (glyph_bbox.xMax > bbox.xMax) {
-                bbox.xMax = glyph_bbox.xMax;
-            }
-        }
-        if (glyph_bbox.yMax > bbox.yMax)
-            bbox.yMax = glyph_bbox.yMax;
+        // if left_ft_object is the same as right_ft_object,
+        // do the exact same thing which set_text does.
+        return right_ft_object->get_kerning(left, right, mode, false);
     }
-    /* check that we really grew the string bbox */
-    if (bbox.xMin > bbox.xMax) {
-        bbox.xMin = 0;
-        bbox.yMin = 0;
-        bbox.xMax = 0;
-        bbox.yMax = 0;
+    else
+    {
+        FT_Vector delta;
+        return get_kerning(left, right, mode, delta);
     }
-    return bbox;
 }
 
-int FT2Font::get_kerning(int left, int right, int mode)
+int FT2Font::get_kerning(FT_UInt left, FT_UInt right, FT_Kerning_Mode mode,
+                         FT_Vector &delta)
 {
     if (!FT_HAS_KERNING(face)) {
         return 0;
     }
-    FT_Vector delta;
 
     if (!FT_Get_Kerning(face, left, right, mode, &delta)) {
-        return (int)(delta.x / hinting_factor);
+        return (int)(delta.x) / (hinting_factor << kerning_factor);
     } else {
         return 0;
     }
 }
 
+void FT2Font::set_kerning_factor(int factor)
+{
+    kerning_factor = factor;
+    for (auto & fallback : fallbacks) {
+        fallback->set_kerning_factor(factor);
+    }
+}
+
 void FT2Font::set_text(
-    size_t N, uint32_t *codepoints, double angle, FT_UInt32 flags, std::vector<double> &xys)
+    std::u32string_view text, double angle, FT_Int32 flags, std::vector<double> &xys)
 {
-    angle = angle / 360.0 * 2 * M_PI;
+    FT_Matrix matrix; /* transformation matrix */
 
-    // this computes width and height in subpixels so we have to divide by 64
-    matrix.xx = (FT_Fixed)(cos(angle) * 0x10000L);
-    matrix.xy = (FT_Fixed)(-sin(angle) * 0x10000L);
-    matrix.yx = (FT_Fixed)(sin(angle) * 0x10000L);
-    matrix.yy = (FT_Fixed)(cos(angle) * 0x10000L);
+    angle = angle * (2 * M_PI / 360.0);
 
-    FT_Bool use_kerning = FT_HAS_KERNING(face);
-    FT_UInt previous = 0;
+    // this computes width and height in subpixels so we have to multiply by 64
+    double cosangle = cos(angle) * 0x10000L;
+    double sinangle = sin(angle) * 0x10000L;
+
+    matrix.xx = (FT_Fixed)cosangle;
+    matrix.xy = (FT_Fixed)-sinangle;
+    matrix.yx = (FT_Fixed)sinangle;
+    matrix.yy = (FT_Fixed)cosangle;
 
-    glyphs.resize(0);
-    pen.x = 0;
-    pen.y = 0;
+    clear();
+
+    bbox.xMin = bbox.yMin = 32000;
+    bbox.xMax = bbox.yMax = -32000;
 
-    for (unsigned int n = 0; n < N; n++) {
-        std::string thischar("?");
-        FT_UInt glyph_index;
+    FT_UInt previous = 0;
+    FT2Font *previous_ft_object = nullptr;
 
-        glyph_index = FT_Get_Char_Index(face, codepoints[n]);
+    for (auto codepoint : text) {
+        FT_UInt glyph_index = 0;
+        FT_BBox glyph_bbox;
+        FT_Pos last_advance;
+
+        FT_Error charcode_error, glyph_error;
+        std::set<FT_String*> glyph_seen_fonts;
+        FT2Font *ft_object_with_glyph = this;
+        bool was_found = load_char_with_fallback(ft_object_with_glyph, glyph_index, glyphs,
+                                                 char_to_font, glyph_to_font, codepoint, flags,
+                                                 charcode_error, glyph_error, glyph_seen_fonts, false);
+        if (!was_found) {
+            ft_glyph_warn((FT_ULong)codepoint, glyph_seen_fonts);
+            // render missing glyph tofu
+            // come back to top-most font
+            ft_object_with_glyph = this;
+            char_to_font[codepoint] = ft_object_with_glyph;
+            glyph_to_font[glyph_index] = ft_object_with_glyph;
+            ft_object_with_glyph->load_glyph(glyph_index, flags, ft_object_with_glyph, false);
+        } else if (ft_object_with_glyph->warn_if_used) {
+            ft_glyph_warn((FT_ULong)codepoint, glyph_seen_fonts);
+        }
 
         // retrieve kerning distance and move pen position
-        if (use_kerning && previous && glyph_index) {
+        if ((ft_object_with_glyph == previous_ft_object) &&  // if both fonts are the same
+            ft_object_with_glyph->has_kerning() &&           // if the font knows how to kern
+            previous && glyph_index                          // and we really have 2 glyphs
+            ) {
             FT_Vector delta;
-            FT_Get_Kerning(face, previous, glyph_index, FT_KERNING_DEFAULT, &delta);
-            pen.x += delta.x / hinting_factor;
+            pen.x += ft_object_with_glyph->get_kerning(previous, glyph_index, FT_KERNING_DEFAULT, delta);
         }
-        error = FT_Load_Glyph(face, glyph_index, flags);
-        if (error) {
-            throw "could not load glyph";
-        }
-        // ignore errors, jump to next glyph
 
         // extract glyph image and store it in our table
+        FT_Glyph &thisGlyph = glyphs[glyphs.size() - 1];
 
-        FT_Glyph thisGlyph;
-        error = FT_Get_Glyph(face->glyph, &thisGlyph);
-
-        if (error) {
-            throw "could not get glyph";
-        }
-        // ignore errors, jump to next glyph
-
-        FT_Glyph_Transform(thisGlyph, 0, &pen);
+        last_advance = ft_object_with_glyph->get_face()->glyph->advance.x;
+        FT_Glyph_Transform(thisGlyph, nullptr, &pen);
+        FT_Glyph_Transform(thisGlyph, &matrix, nullptr);
         xys.push_back(pen.x);
         xys.push_back(pen.y);
-        pen.x += face->glyph->advance.x;
+
+        FT_Glyph_Get_CBox(thisGlyph, FT_GLYPH_BBOX_SUBPIXELS, &glyph_bbox);
+
+        bbox.xMin = std::min(bbox.xMin, glyph_bbox.xMin);
+        bbox.xMax = std::max(bbox.xMax, glyph_bbox.xMax);
+        bbox.yMin = std::min(bbox.yMin, glyph_bbox.yMin);
+        bbox.yMax = std::max(bbox.yMax, glyph_bbox.yMax);
+
+        pen.x += last_advance;
 
         previous = glyph_index;
-        glyphs.push_back(thisGlyph);
+        previous_ft_object = ft_object_with_glyph;
+
     }
 
-    // now apply the rotation
-    for (unsigned int n = 0; n < glyphs.size(); n++) {
-        FT_Glyph_Transform(glyphs[n], &matrix, 0);
+    FT_Vector_Transform(&pen, &matrix);
+    advance = pen.x;
+
+    if (bbox.xMin > bbox.xMax) {
+        bbox.xMin = bbox.yMin = bbox.xMax = bbox.yMax = 0;
     }
 }
 
-void FT2Font::load_char(long charcode, FT_UInt32 flags)
+void FT2Font::load_char(long charcode, FT_Int32 flags, FT2Font *&ft_object, bool fallback = false)
 {
-    int error = FT_Load_Char(face, (unsigned long)charcode, flags);
+    // if this is parent FT2Font, cache will be filled in 2 ways:
+    // 1. set_text was previously called
+    // 2. set_text was not called and fallback was enabled
+    std::set <FT_String *> glyph_seen_fonts;
+    if (fallback && char_to_font.find(charcode) != char_to_font.end()) {
+        ft_object = char_to_font[charcode];
+        // since it will be assigned to ft_object anyway
+        FT2Font *throwaway = nullptr;
+        ft_object->load_char(charcode, flags, throwaway, false);
+    } else if (fallback) {
+        FT_UInt final_glyph_index;
+        FT_Error charcode_error, glyph_error;
+        FT2Font *ft_object_with_glyph = this;
+        bool was_found = load_char_with_fallback(ft_object_with_glyph, final_glyph_index,
+                                                 glyphs, char_to_font, glyph_to_font,
+                                                 charcode, flags, charcode_error, glyph_error,
+                                                 glyph_seen_fonts, true);
+        if (!was_found) {
+            ft_glyph_warn(charcode, glyph_seen_fonts);
+            if (charcode_error) {
+                THROW_FT_ERROR("charcode loading", charcode_error);
+            }
+            else if (glyph_error) {
+                THROW_FT_ERROR("charcode loading", glyph_error);
+            }
+        } else if (ft_object_with_glyph->warn_if_used) {
+            ft_glyph_warn(charcode, glyph_seen_fonts);
+        }
+        ft_object = ft_object_with_glyph;
+    } else {
+        //no fallback case
+        ft_object = this;
+        FT_UInt glyph_index = FT_Get_Char_Index(face, (FT_ULong) charcode);
+        if (!glyph_index){
+            glyph_seen_fonts.insert((face != nullptr)?face->family_name: nullptr);
+            ft_glyph_warn((FT_ULong)charcode, glyph_seen_fonts);
+        }
+        FT_CHECK(FT_Load_Glyph, face, glyph_index, flags);
+        FT_Glyph thisGlyph;
+        FT_CHECK(FT_Get_Glyph, face->glyph, &thisGlyph);
+        glyphs.push_back(thisGlyph);
+    }
+}
 
-    if (error) {
-        throw "Could not load charcode";
+
+bool FT2Font::get_char_fallback_index(FT_ULong charcode, int& index) const
+{
+    FT_UInt glyph_index = FT_Get_Char_Index(face, charcode);
+    if (glyph_index) {
+        // -1 means the host has the char and we do not need to fallback
+        index = -1;
+        return true;
+    } else {
+        int inner_index = 0;
+        bool was_found;
+
+        for (size_t i = 0; i < fallbacks.size(); ++i) {
+            // TODO handle recursion somehow!
+            was_found = fallbacks[i]->get_char_fallback_index(charcode, inner_index);
+            if (was_found) {
+                index = i;
+                return true;
+            }
+        }
     }
+    return false;
+}
 
-    FT_Glyph thisGlyph;
-    error = FT_Get_Glyph(face->glyph, &thisGlyph);
 
-    if (error) {
-        throw "Could not get glyph";
+bool FT2Font::load_char_with_fallback(FT2Font *&ft_object_with_glyph,
+                                      FT_UInt &final_glyph_index,
+                                      std::vector<FT_Glyph> &parent_glyphs,
+                                      std::unordered_map<long, FT2Font *> &parent_char_to_font,
+                                      std::unordered_map<FT_UInt, FT2Font *> &parent_glyph_to_font,
+                                      long charcode,
+                                      FT_Int32 flags,
+                                      FT_Error &charcode_error,
+                                      FT_Error &glyph_error,
+                                      std::set<FT_String*> &glyph_seen_fonts,
+                                      bool override = false)
+{
+    FT_UInt glyph_index = FT_Get_Char_Index(face, charcode);
+    if (!warn_if_used) {
+        glyph_seen_fonts.insert(face->family_name);
     }
 
-    glyphs.push_back(thisGlyph);
+    if (glyph_index || override) {
+        charcode_error = FT_Load_Glyph(face, glyph_index, flags);
+        if (charcode_error) {
+            return false;
+        }
+        FT_Glyph thisGlyph;
+        glyph_error = FT_Get_Glyph(face->glyph, &thisGlyph);
+        if (glyph_error) {
+            return false;
+        }
+
+        final_glyph_index = glyph_index;
+
+        // cache the result for future
+        // need to store this for anytime a character is loaded from a parent
+        // FT2Font object or to generate a mapping of individual characters to fonts
+        ft_object_with_glyph = this;
+        parent_glyph_to_font[final_glyph_index] = this;
+        parent_char_to_font[charcode] = this;
+        parent_glyphs.push_back(thisGlyph);
+        return true;
+    }
+    else {
+        for (auto & fallback : fallbacks) {
+            bool was_found = fallback->load_char_with_fallback(
+                ft_object_with_glyph, final_glyph_index, parent_glyphs,
+                parent_char_to_font, parent_glyph_to_font, charcode, flags,
+                charcode_error, glyph_error, glyph_seen_fonts, override);
+            if (was_found) {
+                return true;
+            }
+        }
+        return false;
+    }
 }
 
-void FT2Font::load_glyph(FT_UInt glyph_index, FT_UInt32 flags)
+void FT2Font::load_glyph(FT_UInt glyph_index,
+                         FT_Int32 flags,
+                         FT2Font *&ft_object,
+                         bool fallback = false)
 {
-    int error = FT_Load_Glyph(face, glyph_index, flags);
-
-    if (error) {
-        throw "Could not load glyph";
+    // cache is only for parent FT2Font
+    if (fallback && glyph_to_font.find(glyph_index) != glyph_to_font.end()) {
+        ft_object = glyph_to_font[glyph_index];
+    } else {
+        ft_object = this;
     }
 
+    ft_object->load_glyph(glyph_index, flags);
+}
+
+void FT2Font::load_glyph(FT_UInt glyph_index, FT_Int32 flags)
+{
+    FT_CHECK(FT_Load_Glyph, face, glyph_index, flags);
     FT_Glyph thisGlyph;
-    error = FT_Get_Glyph(face->glyph, &thisGlyph);
+    FT_CHECK(FT_Get_Glyph, face->glyph, &thisGlyph);
+    glyphs.push_back(thisGlyph);
+}
 
-    if (error) {
-        throw "Could not load glyph";
+FT_UInt FT2Font::get_char_index(FT_ULong charcode, bool fallback = false)
+{
+    FT2Font *ft_object = nullptr;
+    if (fallback && char_to_font.find(charcode) != char_to_font.end()) {
+        // fallback denotes whether we want to search fallback list.
+        // should call set_text/load_char_with_fallback to parent FT2Font before
+        // wanting to use fallback list here. (since that populates the cache)
+        ft_object = char_to_font[charcode];
+    } else {
+        // set as self
+        ft_object = this;
     }
 
-    glyphs.push_back(thisGlyph);
+    return FT_Get_Char_Index(ft_object->get_face(), charcode);
 }
 
 void FT2Font::get_width_height(long *width, long *height)
 {
-    FT_BBox bbox = compute_string_bbox();
-
-    *width = bbox.xMax - bbox.xMin;
+    *width = advance;
     *height = bbox.yMax - bbox.yMin;
 }
 
 long FT2Font::get_descent()
 {
-    FT_BBox bbox = compute_string_bbox();
     return -bbox.yMin;
 }
 
-void FT2Font::draw_glyphs_to_bitmap(bool antialiased)
+void FT2Font::get_bitmap_offset(long *x, long *y)
 {
-    FT_BBox string_bbox = compute_string_bbox();
-    size_t width = (string_bbox.xMax - string_bbox.xMin) / 64 + 2;
-    size_t height = (string_bbox.yMax - string_bbox.yMin) / 64 + 2;
-
-    image.resize(width, height);
-
-    for (size_t n = 0; n < glyphs.size(); n++) {
-        FT_BBox bbox;
-        FT_Glyph_Get_CBox(glyphs[n], ft_glyph_bbox_pixels, &bbox);
-
-        error = FT_Glyph_To_Bitmap(
-            &glyphs[n], antialiased ? FT_RENDER_MODE_NORMAL : FT_RENDER_MODE_MONO, 0, 1);
-        if (error) {
-            throw "Could not convert glyph to bitmap";
-        }
-
-        FT_BitmapGlyph bitmap = (FT_BitmapGlyph)glyphs[n];
-        // now, draw to our target surface (convert position)
-
-        // bitmap left and top in pixel, string bbox in subpixel
-        FT_Int x = (FT_Int)(bitmap->left - (string_bbox.xMin / 64.));
-        FT_Int y = (FT_Int)((string_bbox.yMax / 64.) - bitmap->top + 1);
-
-        image.draw_bitmap(&bitmap->bitmap, x, y);
-    }
+    *x = bbox.xMin;
+    *y = 0;
 }
 
-void FT2Font::get_xys(bool antialiased, std::vector<double> &xys)
+void FT2Font::draw_glyphs_to_bitmap(bool antialiased)
 {
-    FT_BBox string_bbox = compute_string_bbox();
-
-    for (size_t n = 0; n < glyphs.size(); n++) {
+    long width = (bbox.xMax - bbox.xMin) / 64 + 2;
+    long height = (bbox.yMax - bbox.yMin) / 64 + 2;
 
-        FT_BBox bbox;
-        FT_Glyph_Get_CBox(glyphs[n], ft_glyph_bbox_pixels, &bbox);
+    image = py::array_t<uint8_t>{{height, width}};
+    std::memset(image.mutable_data(0), 0, image.nbytes());
 
-        error = FT_Glyph_To_Bitmap(
-            &glyphs[n], antialiased ? FT_RENDER_MODE_NORMAL : FT_RENDER_MODE_MONO, 0, 1);
-        if (error) {
-            throw "Could not convert glyph to bitmap";
-        }
-
-        FT_BitmapGlyph bitmap = (FT_BitmapGlyph)glyphs[n];
+    for (auto & glyph: glyphs) {
+        FT_CHECK(
+            FT_Glyph_To_Bitmap,
+            &glyph, antialiased ? FT_RENDER_MODE_NORMAL : FT_RENDER_MODE_MONO, nullptr, 1);
+        FT_BitmapGlyph bitmap = (FT_BitmapGlyph)glyph;
+        // now, draw to our target surface (convert position)
 
         // bitmap left and top in pixel, string bbox in subpixel
-        FT_Int x = (FT_Int)(bitmap->left - string_bbox.xMin / 64.);
-        FT_Int y = (FT_Int)(string_bbox.yMax / 64. - bitmap->top + 1);
-        // make sure the index is non-neg
-        x = x < 0 ? 0 : x;
-        y = y < 0 ? 0 : y;
-        xys.push_back(x);
-        xys.push_back(y);
+        FT_Int x = (FT_Int)(bitmap->left - (bbox.xMin * (1. / 64.)));
+        FT_Int y = (FT_Int)((bbox.yMax * (1. / 64.)) - bitmap->top + 1);
+
+        draw_bitmap(image, &bitmap->bitmap, x, y);
     }
 }
 
-void FT2Font::draw_glyph_to_bitmap(FT2Image &im, int x, int y, size_t glyphInd, bool antialiased)
+void FT2Font::draw_glyph_to_bitmap(
+    py::array_t<uint8_t, py::array::c_style> im,
+    int x, int y, size_t glyphInd, bool antialiased)
 {
     FT_Vector sub_offset;
     sub_offset.x = 0; // int((xd - (double)x) * 64.0);
     sub_offset.y = 0; // int((yd - (double)y) * 64.0);
 
     if (glyphInd >= glyphs.size()) {
-        throw "glyph num is out of range";
-    }
-
-    error = FT_Glyph_To_Bitmap(&glyphs[glyphInd],
-                               antialiased ? FT_RENDER_MODE_NORMAL : FT_RENDER_MODE_MONO,
-                               &sub_offset, // additional translation
-                               1 // destroy image
-                               );
-    if (error) {
-        throw "Could not convert glyph to bitmap";
+        throw std::runtime_error("glyph num is out of range");
     }
 
+    FT_CHECK(
+        FT_Glyph_To_Bitmap,
+        &glyphs[glyphInd],
+        antialiased ? FT_RENDER_MODE_NORMAL : FT_RENDER_MODE_MONO,
+        &sub_offset, // additional translation
+        1); // destroy image
     FT_BitmapGlyph bitmap = (FT_BitmapGlyph)glyphs[glyphInd];
 
-    im.draw_bitmap(&bitmap->bitmap, x + bitmap->left, y);
+    draw_bitmap(im, &bitmap->bitmap, x + bitmap->left, y);
 }
 
-void FT2Font::get_glyph_name(unsigned int glyph_number, char *buffer)
+void FT2Font::get_glyph_name(unsigned int glyph_number, std::string &buffer,
+                             bool fallback = false)
 {
+    if (fallback && glyph_to_font.find(glyph_number) != glyph_to_font.end()) {
+        // cache is only for parent FT2Font
+        FT2Font *ft_object = glyph_to_font[glyph_number];
+        ft_object->get_glyph_name(glyph_number, buffer, false);
+        return;
+    }
     if (!FT_HAS_GLYPH_NAMES(face)) {
         /* Note that this generated name must match the name that
            is generated by ttconv in ttfont_CharStrings_getname. */
-        PyOS_snprintf(buffer, 128, "uni%08x", glyph_number);
+        auto len = snprintf(buffer.data(), buffer.size(), "uni%08x", glyph_number);
+        if (len >= 0) {
+            buffer.resize(len);
+        } else {
+            throw std::runtime_error("Failed to convert glyph to standard name");
+        }
     } else {
-        if (FT_Get_Glyph_Name(face, glyph_number, buffer, 128)) {
-            throw "Could not get glyph names.";
+        FT_CHECK(FT_Get_Glyph_Name, face, glyph_number, buffer.data(), buffer.size());
+        auto len = buffer.find('\0');
+        if (len != buffer.npos) {
+            buffer.resize(len);
         }
     }
 }
diff --git a/src/ft2font.h b/src/ft2font.h
index bef5e9ab27de..8db0239ed4fd 100644
--- a/src/ft2font.h
+++ b/src/ft2font.h
@@ -1,38 +1,71 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-/* A python interface to freetype2 */
-#ifndef _FT2FONT_H
-#define _FT2FONT_H
+/* A python interface to FreeType */
+#pragma once
+
+#ifndef MPL_FT2FONT_H
+#define MPL_FT2FONT_H
+
+#include <set>
+#include <string>
+#include <string_view>
+#include <unordered_map>
 #include <vector>
-#include <stdint.h>
 
 extern "C" {
 #include <ft2build.h>
 #include FT_FREETYPE_H
 #include FT_GLYPH_H
+#include FT_OUTLINE_H
 #include FT_SFNT_NAMES_H
 #include FT_TYPE1_TABLES_H
 #include FT_TRUETYPE_TABLES_H
 }
 
-/*
- By definition, FT_FIXED as 2 16bit values stored in a single long.
- */
-#define FIXED_MAJOR(val) (long)((val & 0xffff000) >> 16)
-#define FIXED_MINOR(val) (long)(val & 0xffff)
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+namespace py = pybind11;
+
+// By definition, FT_FIXED as 2 16bit values stored in a single long.
+#define FIXED_MAJOR(val) (signed short)((val & 0xffff0000) >> 16)
+#define FIXED_MINOR(val) (unsigned short)(val & 0xffff)
+
+// Error handling (error codes are loaded as described in fterror.h).
+inline char const* ft_error_string(FT_Error error) {
+#undef __FTERRORS_H__
+#define FT_ERROR_START_LIST     switch (error) {
+#define FT_ERRORDEF( e, v, s )    case v: return s;
+#define FT_ERROR_END_LIST         default: return NULL; }
+#include FT_ERRORS_H
+}
 
-// the freetype string rendered into a width, height buffer
+// No more than 16 hex digits + "0x" + null byte for a 64-bit int error.
+#define THROW_FT_ERROR(name, err) { \
+    std::string path{__FILE__}; \
+    char buf[20] = {0}; \
+    snprintf(buf, sizeof buf, "%#04x", err); \
+    throw std::runtime_error{ \
+        name " (" \
+        + path.substr(path.find_last_of("/\\") + 1) \
+        + " line " + std::to_string(__LINE__) + ") failed with error " \
+        + std::string{buf} + ": " + std::string{ft_error_string(err)}}; \
+} (void)0
+
+#define FT_CHECK(func, ...) { \
+    if (auto const& error_ = func(__VA_ARGS__)) { \
+        THROW_FT_ERROR(#func, error_); \
+    } \
+} (void)0
+
+// the FreeType string rendered into a width, height buffer
 class FT2Image
 {
   public:
-    FT2Image();
     FT2Image(unsigned long width, unsigned long height);
     virtual ~FT2Image();
 
     void resize(long width, long height);
     void draw_bitmap(FT_Bitmap *bitmap, FT_Int x, FT_Int y);
-    void write_bitmap(FILE *fp) const;
-    void draw_rect(unsigned long x0, unsigned long y0, unsigned long x1, unsigned long y1);
     void draw_rect_filled(unsigned long x0, unsigned long y0, unsigned long x1, unsigned long y1);
 
     unsigned char *get_buffer()
@@ -49,7 +82,6 @@ class FT2Image
     }
 
   private:
-    bool m_dirty;
     unsigned char *m_buffer;
     unsigned long m_width;
     unsigned long m_height;
@@ -63,71 +95,93 @@ extern FT_Library _ft2Library;
 
 class FT2Font
 {
+    typedef void (*WarnFunc)(FT_ULong charcode, std::set<FT_String*> family_names);
 
   public:
-    FT2Font(FT_Open_Args &open_args, long hinting_factor);
+    FT2Font(FT_Open_Args &open_args, long hinting_factor,
+            std::vector<FT2Font *> &fallback_list,
+            WarnFunc warn, bool warn_if_used);
     virtual ~FT2Font();
     void clear();
     void set_size(double ptsize, double dpi);
     void set_charmap(int i);
     void select_charmap(unsigned long i);
-    void set_text(
-        size_t N, uint32_t *codepoints, double angle, FT_UInt32 flags, std::vector<double> &xys);
-    int get_kerning(int left, int right, int mode);
-    void load_char(long charcode, FT_UInt32 flags);
-    void load_glyph(FT_UInt glyph_index, FT_UInt32 flags);
+    void set_text(std::u32string_view codepoints, double angle, FT_Int32 flags,
+                  std::vector<double> &xys);
+    int get_kerning(FT_UInt left, FT_UInt right, FT_Kerning_Mode mode, bool fallback);
+    int get_kerning(FT_UInt left, FT_UInt right, FT_Kerning_Mode mode, FT_Vector &delta);
+    void set_kerning_factor(int factor);
+    void load_char(long charcode, FT_Int32 flags, FT2Font *&ft_object, bool fallback);
+    bool load_char_with_fallback(FT2Font *&ft_object_with_glyph,
+                                 FT_UInt &final_glyph_index,
+                                 std::vector<FT_Glyph> &parent_glyphs,
+                                 std::unordered_map<long, FT2Font *> &parent_char_to_font,
+                                 std::unordered_map<FT_UInt, FT2Font *> &parent_glyph_to_font,
+                                 long charcode,
+                                 FT_Int32 flags,
+                                 FT_Error &charcode_error,
+                                 FT_Error &glyph_error,
+                                 std::set<FT_String*> &glyph_seen_fonts,
+                                 bool override);
+    void load_glyph(FT_UInt glyph_index, FT_Int32 flags, FT2Font *&ft_object, bool fallback);
+    void load_glyph(FT_UInt glyph_index, FT_Int32 flags);
     void get_width_height(long *width, long *height);
+    void get_bitmap_offset(long *x, long *y);
     long get_descent();
-    // TODO: Since we know the size of the array upfront, we probably don't
-    // need to dynamically allocate like this
-    void get_xys(bool antialiased, std::vector<double> &xys);
     void draw_glyphs_to_bitmap(bool antialiased);
-    void draw_glyph_to_bitmap(FT2Image &im, int x, int y, size_t glyphInd, bool antialiased);
-    void get_glyph_name(unsigned int glyph_number, char *buffer);
+    void draw_glyph_to_bitmap(
+        py::array_t<uint8_t, py::array::c_style> im,
+        int x, int y, size_t glyphInd, bool antialiased);
+    void get_glyph_name(unsigned int glyph_number, std::string &buffer, bool fallback);
     long get_name_index(char *name);
-    int get_path_count();
-    void get_path(double *outpoints, unsigned char *outcodes);
+    FT_UInt get_char_index(FT_ULong charcode, bool fallback);
+    void get_path(std::vector<double> &vertices, std::vector<unsigned char> &codes);
+    bool get_char_fallback_index(FT_ULong charcode, int& index) const;
 
-    FT_Face &get_face()
+    FT_Face const &get_face() const
     {
         return face;
     }
-    FT2Image &get_image()
+
+    py::array_t<uint8_t, py::array::c_style> &get_image()
     {
         return image;
     }
-    FT_Glyph &get_last_glyph()
+    FT_Glyph const &get_last_glyph() const
     {
         return glyphs.back();
     }
-    size_t get_last_glyph_index()
+    size_t get_last_glyph_index() const
     {
         return glyphs.size() - 1;
     }
-    size_t get_num_glyphs()
+    size_t get_num_glyphs() const
     {
         return glyphs.size();
     }
-    long get_hinting_factor()
+    long get_hinting_factor() const
     {
         return hinting_factor;
     }
+    FT_Bool has_kerning() const
+    {
+        return FT_HAS_KERNING(face);
+    }
 
   private:
-    FT2Image image;
+    WarnFunc ft_glyph_warn;
+    bool warn_if_used;
+    py::array_t<uint8_t, py::array::c_style> image;
     FT_Face face;
-    FT_Matrix matrix; /* transformation matrix */
     FT_Vector pen;    /* untransformed origin  */
-    FT_Error error;
     std::vector<FT_Glyph> glyphs;
-    std::vector<FT_Vector> pos;
-    double angle;
-    double ptsize;
-    double dpi;
+    std::vector<FT2Font *> fallbacks;
+    std::unordered_map<FT_UInt, FT2Font *> glyph_to_font;
+    std::unordered_map<long, FT2Font *> char_to_font;
+    FT_BBox bbox;
+    FT_Pos advance;
     long hinting_factor;
-
-    FT_BBox compute_string_bbox();
-    void set_scalable_attributes();
+    int kerning_factor;
 
     // prevent copying
     FT2Font(const FT2Font &);
diff --git a/src/ft2font_wrapper.cpp b/src/ft2font_wrapper.cpp
index 87714651acd2..ca2db6aa0e5b 100644
--- a/src/ft2font_wrapper.cpp
+++ b/src/ft2font_wrapper.cpp
@@ -1,219 +1,268 @@
-#include "mplutils.h"
-#include "ft2font.h"
-#include "file_compat.h"
-#include "py_exceptions.h"
-#include "numpy_cpp.h"
-
-// From Python
-#include <structmember.h>
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+#include <pybind11/stl.h>
 
-static PyObject *convert_xys_to_array(std::vector<double> &xys)
-{
-    npy_intp dims[] = {(npy_intp)xys.size() / 2, 2 };
-    return PyArray_SimpleNewFromData(2, dims, NPY_DOUBLE, &xys[0]);
+#include "ft2font.h"
+#include "_enums.h"
+
+#include <set>
+#include <sstream>
+#include <unordered_map>
+
+namespace py = pybind11;
+using namespace pybind11::literals;
+
+template <typename T>
+using double_or_ = std::variant<double, T>;
+
+template <typename T>
+static T
+_double_to_(const char *name, double_or_<T> &var)
+{
+    if (auto value = std::get_if<double>(&var)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a=name, "obj_type"_a="parameter as float",
+             "alternative"_a="int({})"_s.format(name));
+        return static_cast<T>(*value);
+    } else if (auto value = std::get_if<T>(&var)) {
+        return *value;
+    } else {
+        // pybind11 will have only allowed types that match the variant, so this `else`
+        // can't happen. We only have this case because older macOS doesn't support
+        // `std::get` and using the conditional `std::get_if` means an `else` to silence
+        // compiler warnings about "unhandled" cases.
+        throw std::runtime_error("Should not happen");
+    }
 }
 
 /**********************************************************************
- * FT2Image
+ * Enumerations
  * */
 
-typedef struct
-{
-    PyObject_HEAD;
-    FT2Image *x;
-    Py_ssize_t shape[2];
-    Py_ssize_t strides[2];
-    Py_ssize_t suboffsets[2];
-} PyFT2Image;
-
-static PyObject *PyFT2Image_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    PyFT2Image *self;
-    self = (PyFT2Image *)type->tp_alloc(type, 0);
-    self->x = NULL;
-    return (PyObject *)self;
-}
-
-static int PyFT2Image_init(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    double width;
-    double height;
+const char *Kerning__doc__ = R"""(
+    Kerning modes for `.FT2Font.get_kerning`.
 
-    if (!PyArg_ParseTuple(args, "dd:FT2Image", &width, &height)) {
-        return -1;
-    }
+    For more information, see `the FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-glyph_retrieval.html#ft_kerning_mode>`_.
 
-    CALL_CPP_INIT("FT2Image", (self->x = new FT2Image(width, height)));
+    .. versionadded:: 3.10
+)""";
 
-    return 0;
-}
+P11X_DECLARE_ENUM(
+    "Kerning", "Enum",
+    {"DEFAULT", FT_KERNING_DEFAULT},
+    {"UNFITTED", FT_KERNING_UNFITTED},
+    {"UNSCALED", FT_KERNING_UNSCALED},
+);
 
-static void PyFT2Image_dealloc(PyFT2Image *self)
-{
-    delete self->x;
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
+const char *FaceFlags__doc__ = R"""(
+    Flags returned by `FT2Font.face_flags`.
 
-const char *PyFT2Image_draw_rect__doc__ =
-    "draw_rect(x0, y0, x1, y1)\n"
-    "\n"
-    "Draw a rect to the image.\n"
-    "\n";
+    For more information, see `the FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-face_creation.html#ft_face_flag_xxx>`_.
 
-static PyObject *PyFT2Image_draw_rect(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    double x0, y0, x1, y1;
-
-    if (!PyArg_ParseTuple(args, "dddd:draw_rect", &x0, &y0, &x1, &y1)) {
-        return NULL;
-    }
+    .. versionadded:: 3.10
+)""";
 
-    CALL_CPP("draw_rect", (self->x->draw_rect(x0, y0, x1, y1)));
-
-    Py_RETURN_NONE;
-}
-
-const char *PyFT2Image_draw_rect_filled__doc__ =
-    "draw_rect_filled(x0, y0, x1, y1)\n"
-    "\n"
-    "Draw a filled rect to the image.\n"
-    "\n";
-
-static PyObject *PyFT2Image_draw_rect_filled(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    double x0, y0, x1, y1;
-
-    if (!PyArg_ParseTuple(args, "dddd:draw_rect_filled", &x0, &y0, &x1, &y1)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_rect_filled", (self->x->draw_rect_filled(x0, y0, x1, y1)));
-
-    Py_RETURN_NONE;
-}
-
-const char *PyFT2Image_as_str__doc__ =
-    "s = image.as_str()\n"
-    "\n"
-    "Return the image buffer as a string\n"
-    "\n";
+#ifndef FT_FACE_FLAG_VARIATION  // backcompat: ft 2.9.0.
+#define FT_FACE_FLAG_VARIATION (1L << 15)
+#endif
+#ifndef FT_FACE_FLAG_SVG  // backcompat: ft 2.12.0.
+#define FT_FACE_FLAG_SVG (1L << 16)
+#endif
+#ifndef FT_FACE_FLAG_SBIX  // backcompat: ft 2.12.0.
+#define FT_FACE_FLAG_SBIX (1L << 17)
+#endif
+#ifndef FT_FACE_FLAG_SBIX_OVERLAY  // backcompat: ft 2.12.0.
+#define FT_FACE_FLAG_SBIX_OVERLAY (1L << 18)
+#endif
 
-static PyObject *PyFT2Image_as_str(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    // TODO: Use a buffer to avoid the copy
-    return PyBytes_FromStringAndSize((const char *)self->x->get_buffer(),
-                                     self->x->get_width() * self->x->get_height());
-}
+enum class FaceFlags : FT_Long {
+#define DECLARE_FLAG(name) name = FT_FACE_FLAG_##name
+    DECLARE_FLAG(SCALABLE),
+    DECLARE_FLAG(FIXED_SIZES),
+    DECLARE_FLAG(FIXED_WIDTH),
+    DECLARE_FLAG(SFNT),
+    DECLARE_FLAG(HORIZONTAL),
+    DECLARE_FLAG(VERTICAL),
+    DECLARE_FLAG(KERNING),
+    DECLARE_FLAG(FAST_GLYPHS),
+    DECLARE_FLAG(MULTIPLE_MASTERS),
+    DECLARE_FLAG(GLYPH_NAMES),
+    DECLARE_FLAG(EXTERNAL_STREAM),
+    DECLARE_FLAG(HINTER),
+    DECLARE_FLAG(CID_KEYED),
+    DECLARE_FLAG(TRICKY),
+    DECLARE_FLAG(COLOR),
+    DECLARE_FLAG(VARIATION),
+    DECLARE_FLAG(SVG),
+    DECLARE_FLAG(SBIX),
+    DECLARE_FLAG(SBIX_OVERLAY),
+#undef DECLARE_FLAG
+};
 
-const char *PyFT2Image_as_rgba_str__doc__ =
-    "s = image.as_rgba_str()\n"
-    "\n"
-    "Return the image buffer as a RGBA string\n"
-    "\n";
+P11X_DECLARE_ENUM(
+    "FaceFlags", "Flag",
+    {"SCALABLE", FaceFlags::SCALABLE},
+    {"FIXED_SIZES", FaceFlags::FIXED_SIZES},
+    {"FIXED_WIDTH", FaceFlags::FIXED_WIDTH},
+    {"SFNT", FaceFlags::SFNT},
+    {"HORIZONTAL", FaceFlags::HORIZONTAL},
+    {"VERTICAL", FaceFlags::VERTICAL},
+    {"KERNING", FaceFlags::KERNING},
+    {"FAST_GLYPHS", FaceFlags::FAST_GLYPHS},
+    {"MULTIPLE_MASTERS", FaceFlags::MULTIPLE_MASTERS},
+    {"GLYPH_NAMES", FaceFlags::GLYPH_NAMES},
+    {"EXTERNAL_STREAM", FaceFlags::EXTERNAL_STREAM},
+    {"HINTER", FaceFlags::HINTER},
+    {"CID_KEYED", FaceFlags::CID_KEYED},
+    {"TRICKY", FaceFlags::TRICKY},
+    {"COLOR", FaceFlags::COLOR},
+    {"VARIATION", FaceFlags::VARIATION},
+    {"SVG", FaceFlags::SVG},
+    {"SBIX", FaceFlags::SBIX},
+    {"SBIX_OVERLAY", FaceFlags::SBIX_OVERLAY},
+);
+
+const char *LoadFlags__doc__ = R"""(
+    Flags for `FT2Font.load_char`, `FT2Font.load_glyph`, and `FT2Font.set_text`.
+
+    For more information, see `the FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-glyph_retrieval.html#ft_load_xxx>`_.
+
+    .. versionadded:: 3.10
+)""";
+
+#ifndef FT_LOAD_COMPUTE_METRICS  // backcompat: ft 2.6.1.
+#define FT_LOAD_COMPUTE_METRICS (1L << 21)
+#endif
+#ifndef FT_LOAD_BITMAP_METRICS_ONLY  // backcompat: ft 2.7.1.
+#define FT_LOAD_BITMAP_METRICS_ONLY (1L << 22)
+#endif
+#ifndef FT_LOAD_NO_SVG  // backcompat: ft 2.13.1.
+#define FT_LOAD_NO_SVG (1L << 24)
+#endif
 
-static PyObject *PyFT2Image_as_rgba_str(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    npy_intp dims[] = {(npy_intp)self->x->get_height(), (npy_intp)self->x->get_width(), 4 };
-    numpy::array_view<unsigned char, 3> result(dims);
-
-    unsigned char *src = self->x->get_buffer();
-    unsigned char *end = src + (self->x->get_width() * self->x->get_height());
-    unsigned char *dst = result.data();
-
-    while (src != end) {
-        *dst++ = 0;
-        *dst++ = 0;
-        *dst++ = 0;
-        *dst++ = *src++;
-    }
+enum class LoadFlags : FT_Int32 {
+#define DECLARE_FLAG(name) name = FT_LOAD_##name
+    DECLARE_FLAG(DEFAULT),
+    DECLARE_FLAG(NO_SCALE),
+    DECLARE_FLAG(NO_HINTING),
+    DECLARE_FLAG(RENDER),
+    DECLARE_FLAG(NO_BITMAP),
+    DECLARE_FLAG(VERTICAL_LAYOUT),
+    DECLARE_FLAG(FORCE_AUTOHINT),
+    DECLARE_FLAG(CROP_BITMAP),
+    DECLARE_FLAG(PEDANTIC),
+    DECLARE_FLAG(IGNORE_GLOBAL_ADVANCE_WIDTH),
+    DECLARE_FLAG(NO_RECURSE),
+    DECLARE_FLAG(IGNORE_TRANSFORM),
+    DECLARE_FLAG(MONOCHROME),
+    DECLARE_FLAG(LINEAR_DESIGN),
+    DECLARE_FLAG(NO_AUTOHINT),
+    DECLARE_FLAG(COLOR),
+    DECLARE_FLAG(COMPUTE_METRICS),
+    DECLARE_FLAG(BITMAP_METRICS_ONLY),
+    DECLARE_FLAG(NO_SVG),
+    DECLARE_FLAG(TARGET_NORMAL),
+    DECLARE_FLAG(TARGET_LIGHT),
+    DECLARE_FLAG(TARGET_MONO),
+    DECLARE_FLAG(TARGET_LCD),
+    DECLARE_FLAG(TARGET_LCD_V),
+#undef DECLARE_FLAG
+};
 
-    return result.pyobj();
-}
+P11X_DECLARE_ENUM(
+    "LoadFlags", "Flag",
+    {"DEFAULT", LoadFlags::DEFAULT},
+    {"NO_SCALE", LoadFlags::NO_SCALE},
+    {"NO_HINTING", LoadFlags::NO_HINTING},
+    {"RENDER", LoadFlags::RENDER},
+    {"NO_BITMAP", LoadFlags::NO_BITMAP},
+    {"VERTICAL_LAYOUT", LoadFlags::VERTICAL_LAYOUT},
+    {"FORCE_AUTOHINT", LoadFlags::FORCE_AUTOHINT},
+    {"CROP_BITMAP", LoadFlags::CROP_BITMAP},
+    {"PEDANTIC", LoadFlags::PEDANTIC},
+    {"IGNORE_GLOBAL_ADVANCE_WIDTH", LoadFlags::IGNORE_GLOBAL_ADVANCE_WIDTH},
+    {"NO_RECURSE", LoadFlags::NO_RECURSE},
+    {"IGNORE_TRANSFORM", LoadFlags::IGNORE_TRANSFORM},
+    {"MONOCHROME", LoadFlags::MONOCHROME},
+    {"LINEAR_DESIGN", LoadFlags::LINEAR_DESIGN},
+    {"NO_AUTOHINT", LoadFlags::NO_AUTOHINT},
+    {"COLOR", LoadFlags::COLOR},
+    {"COMPUTE_METRICS", LoadFlags::COMPUTE_METRICS},
+    {"BITMAP_METRICS_ONLY", LoadFlags::BITMAP_METRICS_ONLY},
+    {"NO_SVG", LoadFlags::NO_SVG},
+    // These must be unique, but the others can be OR'd together; I don't know if
+    // there's any way to really enforce that.
+    {"TARGET_NORMAL", LoadFlags::TARGET_NORMAL},
+    {"TARGET_LIGHT", LoadFlags::TARGET_LIGHT},
+    {"TARGET_MONO", LoadFlags::TARGET_MONO},
+    {"TARGET_LCD", LoadFlags::TARGET_LCD},
+    {"TARGET_LCD_V", LoadFlags::TARGET_LCD_V},
+);
+
+const char *StyleFlags__doc__ = R"""(
+    Flags returned by `FT2Font.style_flags`.
+
+    For more information, see `the FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-face_creation.html#ft_style_flag_xxx>`_.
+
+    .. versionadded:: 3.10
+)""";
+
+enum class StyleFlags : FT_Long {
+#define DECLARE_FLAG(name) name = FT_STYLE_FLAG_##name
+    NORMAL = 0,
+    DECLARE_FLAG(ITALIC),
+    DECLARE_FLAG(BOLD),
+#undef DECLARE_FLAG
+};
 
-const char *PyFT2Image_as_array__doc__ =
-    "x = image.as_array()\n"
-    "\n"
-    "Return the image buffer as a width x height numpy array of ubyte \n"
-    "\n";
+P11X_DECLARE_ENUM(
+    "StyleFlags", "Flag",
+    {"NORMAL", StyleFlags::NORMAL},
+    {"ITALIC", StyleFlags::ITALIC},
+    {"BOLD", StyleFlags::BOLD},
+);
 
-static PyObject *PyFT2Image_as_array(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    npy_intp dims[] = {(npy_intp)self->x->get_height(), (npy_intp)self->x->get_width() };
-    return PyArray_SimpleNewFromData(2, dims, NPY_UBYTE, self->x->get_buffer());
-}
+/**********************************************************************
+ * FT2Image
+ * */
 
-static PyObject *PyFT2Image_get_width(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    return PyLong_FromLong(self->x->get_width());
-}
+const char *PyFT2Image__doc__ = R"""(
+    An image buffer for drawing glyphs.
+)""";
 
-static PyObject *PyFT2Image_get_height(PyFT2Image *self, PyObject *args, PyObject *kwds)
-{
-    return PyLong_FromLong(self->x->get_height());
-}
+const char *PyFT2Image_init__doc__ = R"""(
+    Parameters
+    ----------
+    width, height : int
+        The dimensions of the image buffer.
+)""";
 
-static int PyFT2Image_get_buffer(PyFT2Image *self, Py_buffer *buf, int flags)
-{
-    FT2Image *im = self->x;
-
-    Py_INCREF(self);
-    buf->obj = (PyObject *)self;
-    buf->buf = im->get_buffer();
-    buf->len = im->get_width() * im->get_height();
-    buf->readonly = 0;
-    buf->format = (char *)"B";
-    buf->ndim = 2;
-    self->shape[0] = im->get_height();
-    self->shape[1] = im->get_width();
-    buf->shape = self->shape;
-    self->strides[0] = im->get_width();
-    self->strides[1] = 1;
-    buf->strides = self->strides;
-    buf->suboffsets = NULL;
-    buf->itemsize = 1;
-    buf->internal = NULL;
-
-    return 1;
-}
+const char *PyFT2Image_draw_rect_filled__doc__ = R"""(
+    Draw a filled rectangle to the image.
 
-static PyTypeObject PyFT2ImageType;
+    Parameters
+    ----------
+    x0, y0, x1, y1 : float
+        The bounds of the rectangle from (x0, y0) to (x1, y1).
+)""";
 
-static PyTypeObject *PyFT2Image_init_type(PyObject *m, PyTypeObject *type)
+static void
+PyFT2Image_draw_rect_filled(FT2Image *self,
+                            double_or_<long> vx0, double_or_<long> vy0,
+                            double_or_<long> vx1, double_or_<long> vy1)
 {
-    static PyMethodDef methods[] = {
-        {"draw_rect", (PyCFunction)PyFT2Image_draw_rect, METH_VARARGS, PyFT2Image_draw_rect__doc__},
-        {"draw_rect_filled", (PyCFunction)PyFT2Image_draw_rect_filled, METH_VARARGS, PyFT2Image_draw_rect_filled__doc__},
-        {"as_str", (PyCFunction)PyFT2Image_as_str, METH_NOARGS, PyFT2Image_as_str__doc__},
-        {"as_rgba_str", (PyCFunction)PyFT2Image_as_rgba_str, METH_NOARGS, PyFT2Image_as_rgba_str__doc__},
-        {"as_array", (PyCFunction)PyFT2Image_as_array, METH_NOARGS, PyFT2Image_as_array__doc__},
-        {"get_width", (PyCFunction)PyFT2Image_get_width, METH_NOARGS, NULL},
-        {"get_height", (PyCFunction)PyFT2Image_get_height, METH_NOARGS, NULL},
-        {NULL}
-    };
-
-    static PyBufferProcs buffer_procs;
-    memset(&buffer_procs, 0, sizeof(PyBufferProcs));
-    buffer_procs.bf_getbuffer = (getbufferproc)PyFT2Image_get_buffer;
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib.ft2font.FT2Image";
-    type->tp_basicsize = sizeof(PyFT2Image);
-    type->tp_dealloc = (destructor)PyFT2Image_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;
-    type->tp_methods = methods;
-    type->tp_new = PyFT2Image_new;
-    type->tp_init = (initproc)PyFT2Image_init;
-    type->tp_as_buffer = &buffer_procs;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    if (PyModule_AddObject(m, "FT2Image", (PyObject *)type)) {
-        return NULL;
-    }
+    auto x0 = _double_to_<long>("x0", vx0);
+    auto y0 = _double_to_<long>("y0", vy0);
+    auto x1 = _double_to_<long>("x1", vx1);
+    auto y1 = _double_to_<long>("y1", vy1);
 
-    return type;
+    self->draw_rect_filled(x0, y0, x1, y1);
 }
 
 /**********************************************************************
@@ -222,7 +271,6 @@ static PyTypeObject *PyFT2Image_init_type(PyObject *m, PyTypeObject *type)
 
 typedef struct
 {
-    PyObject_HEAD;
     size_t glyphInd;
     long width;
     long height;
@@ -236,16 +284,27 @@ typedef struct
     FT_BBox bbox;
 } PyGlyph;
 
-static PyTypeObject PyGlyphType;
+const char *PyGlyph__doc__ = R"""(
+    Information about a single glyph.
+
+    You cannot create instances of this object yourself, but must use
+    `.FT2Font.load_char` or `.FT2Font.load_glyph` to generate one. This object may be
+    used in a call to `.FT2Font.draw_glyph_to_bitmap`.
+
+    For more information on the various metrics, see `the FreeType documentation
+    <https://freetype.org/freetype2/docs/glyphs/glyphs-3.html>`_.
+)""";
 
-static PyObject *
-PyGlyph_new(const FT_Face &face, const FT_Glyph &glyph, size_t ind, long hinting_factor)
+static PyGlyph *
+PyGlyph_from_FT2Font(const FT2Font *font)
 {
-    PyGlyph *self;
-    self = (PyGlyph *)PyGlyphType.tp_alloc(&PyGlyphType, 0);
+    const FT_Face &face = font->get_face();
+    const long hinting_factor = font->get_hinting_factor();
+    const FT_Glyph &glyph = font->get_last_glyph();
 
-    self->glyphInd = ind;
+    PyGlyph *self = new PyGlyph();
 
+    self->glyphInd = font->get_last_glyph_index();
     FT_Glyph_Get_CBox(glyph, ft_glyph_bbox_subpixels, &self->bbox);
 
     self->width = face->glyph->metrics.width / hinting_factor;
@@ -258,1474 +317,1464 @@ PyGlyph_new(const FT_Face &face, const FT_Glyph &glyph, size_t ind, long hinting
     self->vertBearingY = face->glyph->metrics.vertBearingY;
     self->vertAdvance = face->glyph->metrics.vertAdvance;
 
-    return (PyObject *)self;
+    return self;
 }
 
-static void PyGlyph_dealloc(PyGlyph *self)
+static py::tuple
+PyGlyph_get_bbox(PyGlyph *self)
 {
-    Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-static PyObject *PyGlyph_get_bbox(PyGlyph *self, void *closure)
-{
-    return Py_BuildValue(
-        "iiii", self->bbox.xMin, self->bbox.yMin, self->bbox.xMax, self->bbox.yMax);
-}
-
-static PyTypeObject *PyGlyph_init_type(PyObject *m, PyTypeObject *type)
-{
-    static PyMemberDef members[] = {
-        {(char *)"width", T_INT, offsetof(PyGlyph, width), READONLY, (char *)""},
-        {(char *)"height", T_INT, offsetof(PyGlyph, height), READONLY, (char *)""},
-        {(char *)"horiBearingX", T_INT, offsetof(PyGlyph, horiBearingX), READONLY, (char *)""},
-        {(char *)"horiBearingY", T_INT, offsetof(PyGlyph, horiBearingY), READONLY, (char *)""},
-        {(char *)"horiAdvance", T_INT, offsetof(PyGlyph, horiAdvance), READONLY, (char *)""},
-        {(char *)"linearHoriAdvance", T_INT, offsetof(PyGlyph, linearHoriAdvance), READONLY, (char *)""},
-        {(char *)"vertBearingX", T_INT, offsetof(PyGlyph, vertBearingX), READONLY, (char *)""},
-        {(char *)"vertBearingY", T_INT, offsetof(PyGlyph, vertBearingY), READONLY, (char *)""},
-        {(char *)"vertAdvance", T_INT, offsetof(PyGlyph, vertAdvance), READONLY, (char *)""},
-        {NULL}
-    };
-
-    static PyGetSetDef getset[] = {
-        {(char *)"bbox", (getter)PyGlyph_get_bbox, NULL, NULL, NULL},
-        {NULL}
-    };
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib.ft2font.Glyph";
-    type->tp_basicsize = sizeof(PyGlyph);
-    type->tp_dealloc = (destructor)PyGlyph_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE;
-    type->tp_members = members;
-    type->tp_getset = getset;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
-    }
-
-    /* Don't need to add to module, since you can't create glyphs
-       directly from Python */
-
-    return type;
+    return py::make_tuple(self->bbox.xMin, self->bbox.yMin,
+                          self->bbox.xMax, self->bbox.yMax);
 }
 
 /**********************************************************************
  * FT2Font
  * */
 
-typedef struct
+struct PyFT2Font
 {
-    PyObject_HEAD FT2Font *x;
-    PyObject *fname;
-    PyObject *py_file;
-    FILE *fp;
-    int close_file;
-    mpl_off_t offset;
+    FT2Font *x;
+    py::object py_file;
     FT_StreamRec stream;
-    FT_Byte *mem;
-    size_t mem_size;
-    Py_ssize_t shape[2];
-    Py_ssize_t strides[2];
-    Py_ssize_t suboffsets[2];
-} PyFT2Font;
-
-static unsigned long read_from_file_callback(FT_Stream stream,
-                                             unsigned long offset,
-                                             unsigned char *buffer,
-                                             unsigned long count)
-{
+    py::list fallbacks;
 
-    PyFT2Font *def = (PyFT2Font *)stream->descriptor.pointer;
-
-    if (fseek(def->fp, offset, SEEK_SET) == -1) {
-        return 0;
+    ~PyFT2Font()
+    {
+        delete this->x;
     }
+};
 
-    if (count > 0) {
-        return fread(buffer, 1, count, def->fp);
+const char *PyFT2Font__doc__ = R"""(
+    An object representing a single font face.
+
+    Outside of the font itself and querying its properties, this object provides methods
+    for processing text strings into glyph shapes.
+
+    Commonly, one will use `FT2Font.set_text` to load some glyph metrics and outlines.
+    Then `FT2Font.draw_glyphs_to_bitmap` and `FT2Font.get_image` may be used to get a
+    rendered form of the loaded string.
+
+    For single characters, `FT2Font.load_char` or `FT2Font.load_glyph` may be used,
+    either directly for their return values, or to use `FT2Font.draw_glyph_to_bitmap` or
+    `FT2Font.get_path`.
+
+    Useful metrics may be examined via the `Glyph` return values or
+    `FT2Font.get_kerning`. Most dimensions are given in 26.6 or 16.6 fixed-point
+    integers representing subpixels. Divide these values by 64 to produce floating-point
+    pixels.
+)""";
+
+static unsigned long
+read_from_file_callback(FT_Stream stream, unsigned long offset, unsigned char *buffer,
+                        unsigned long count)
+{
+    PyFT2Font *self = (PyFT2Font *)stream->descriptor.pointer;
+    Py_ssize_t n_read = 0;
+    try {
+        char *tmpbuf;
+        auto seek_result = self->py_file.attr("seek")(offset);
+        auto read_result = self->py_file.attr("read")(count);
+        if (PyBytes_AsStringAndSize(read_result.ptr(), &tmpbuf, &n_read) == -1) {
+            throw py::error_already_set();
+        }
+        memcpy(buffer, tmpbuf, n_read);
+    } catch (py::error_already_set &eas) {
+        eas.discard_as_unraisable(__func__);
+        if (!count) {
+            return 1;  // Non-zero signals error, when count == 0.
+        }
     }
-
-    return 0;
+    return (unsigned long)n_read;
 }
 
-static void close_file_callback(FT_Stream stream)
+static void
+close_file_callback(FT_Stream stream)
 {
-    PyFT2Font *def = (PyFT2Font *)stream->descriptor.pointer;
-
-    if (mpl_PyFile_DupClose(def->py_file, def->fp, def->offset)) {
-        throw "Couldn't close file";
-    }
-
-    if (def->close_file) {
-        mpl_PyFile_CloseFile(def->py_file);
+    PyObject *type, *value, *traceback;
+    PyErr_Fetch(&type, &value, &traceback);
+    PyFT2Font *self = (PyFT2Font *)stream->descriptor.pointer;
+    try {
+        self->py_file.attr("close")();
+    } catch (py::error_already_set &eas) {
+        eas.discard_as_unraisable(__func__);
     }
-
-    Py_DECREF(def->py_file);
-    def->py_file = NULL;
+    self->py_file = py::object();
+    PyErr_Restore(type, value, traceback);
 }
 
-static int convert_open_args(PyFT2Font *self, PyObject *py_file_arg, FT_Open_Args *open_args)
+static void
+ft_glyph_warn(FT_ULong charcode, std::set<FT_String*> family_names)
 {
-    PyObject *py_file = NULL;
-    int close_file = 0;
-    FILE *fp;
-    PyObject *data = NULL;
-    char *data_ptr;
-    Py_ssize_t data_len;
-    long file_size;
-    FT_Byte *new_memory;
-    mpl_off_t offset = 0;
-
-    int result = 0;
-
-    memset((void *)open_args, 0, sizeof(FT_Open_Args));
-
-    if (PyBytes_Check(py_file_arg) || PyUnicode_Check(py_file_arg)) {
-        if ((py_file = mpl_PyFile_OpenFile(py_file_arg, (char *)"rb")) == NULL) {
-            goto exit;
-        }
-        close_file = 1;
-    } else {
-        Py_INCREF(py_file_arg);
-        py_file = py_file_arg;
+    std::set<FT_String*>::iterator it = family_names.begin();
+    std::stringstream ss;
+    ss<<*it;
+    while(++it != family_names.end()){
+        ss<<", "<<*it;
     }
 
-    if ((fp = mpl_PyFile_Dup(py_file, (char *)"rb", &offset))) {
-        Py_INCREF(py_file);
-        self->py_file = py_file;
-        self->close_file = close_file;
-        self->fp = fp;
-        self->offset = offset;
-        fseek(fp, 0, SEEK_END);
-        file_size = ftell(fp);
-        fseek(fp, 0, SEEK_SET);
-
-        self->stream.base = NULL;
-        self->stream.size = (unsigned long)file_size;
-        self->stream.pos = 0;
-        self->stream.descriptor.pointer = self;
-        self->stream.read = &read_from_file_callback;
-        self->stream.close = &close_file_callback;
+    auto text_helpers = py::module_::import("matplotlib._text_helpers");
+    auto warn_on_missing_glyph = text_helpers.attr("warn_on_missing_glyph");
+    warn_on_missing_glyph(charcode, ss.str());
+}
 
-        open_args->flags = FT_OPEN_STREAM;
-        open_args->stream = &self->stream;
-    } else {
-        if (PyObject_HasAttrString(py_file_arg, "read") &&
-            (data = PyObject_CallMethod(py_file_arg, (char *)"read", (char *)""))) {
-            if (PyBytes_AsStringAndSize(data, &data_ptr, &data_len)) {
-                goto exit;
-            }
+const char *PyFT2Font_init__doc__ = R"""(
+    Parameters
+    ----------
+    filename : str or file-like
+        The source of the font data in a format (ttf or ttc) that FreeType can read.
 
-            if (self->mem) {
-                free(self->mem);
-            }
-            self->mem = (FT_Byte *)malloc((self->mem_size + data_len) * sizeof(FT_Byte));
-            if (self->mem == NULL) {
-                goto exit;
-            }
-            new_memory = self->mem + self->mem_size;
-            self->mem_size += data_len;
-
-            memcpy(new_memory, data_ptr, data_len);
-            open_args->flags = FT_OPEN_MEMORY;
-            open_args->memory_base = new_memory;
-            open_args->memory_size = data_len;
-            open_args->stream = NULL;
-        } else {
-            PyErr_SetString(PyExc_TypeError,
-                            "First argument must be a path or file object reading bytes");
-            goto exit;
-        }
-    }
+    hinting_factor : int, optional
+        Must be positive. Used to scale the hinting in the x-direction.
 
-    result = 1;
+    _fallback_list : list of FT2Font, optional
+        A list of FT2Font objects used to find missing glyphs.
 
-exit:
+        .. warning::
+            This API is both private and provisional: do not use it directly.
 
-    Py_XDECREF(py_file);
-    Py_XDECREF(data);
+    _kerning_factor : int, optional
+        Used to adjust the degree of kerning.
 
-    return result;
-}
+        .. warning::
+            This API is private: do not use it directly.
 
-static PyTypeObject PyFT2FontType;
+    _warn_if_used : bool, optional
+        Used to trigger missing glyph warnings.
 
-static PyObject *PyFT2Font_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
-{
-    PyFT2Font *self;
-    self = (PyFT2Font *)type->tp_alloc(type, 0);
-    self->x = NULL;
-    self->py_file = NULL;
-    self->fp = NULL;
-    self->close_file = 0;
-    self->offset = 0;
-    memset(&self->stream, 0, sizeof(FT_StreamRec));
-    return (PyObject *)self;
-}
+        .. warning::
+            This API is private: do not use it directly.
+)""";
 
-const char *PyFT2Font_init__doc__ =
-    "FT2Font(ttffile)\n"
-    "\n"
-    "Create a new FT2Font object\n"
-    "The following global font attributes are defined:\n"
-    "  num_faces              number of faces in file\n"
-    "  face_flags             face flags  (int type); see the ft2font constants\n"
-    "  style_flags            style flags  (int type); see the ft2font constants\n"
-    "  num_glyphs             number of glyphs in the face\n"
-    "  family_name            face family name\n"
-    "  style_name             face syle name\n"
-    "  num_fixed_sizes        number of bitmap in the face\n"
-    "  scalable               face is scalable\n"
-    "\n"
-    "The following are available, if scalable is true:\n"
-    "  bbox                   face global bounding box (xmin, ymin, xmax, ymax)\n"
-    "  units_per_EM           number of font units covered by the EM\n"
-    "  ascender               ascender in 26.6 units\n"
-    "  descender              descender in 26.6 units\n"
-    "  height                 height in 26.6 units; used to compute a default\n"
-    "                         line spacing (baseline-to-baseline distance)\n"
-    "  max_advance_width      maximum horizontal cursor advance for all glyphs\n"
-    "  max_advance_height     same for vertical layout\n"
-    "  underline_position     vertical position of the underline bar\n"
-    "  underline_thickness    vertical thickness of the underline\n"
-    "  postscript_name        PostScript name of the font\n";
-
-static void PyFT2Font_fail(PyFT2Font *self)
+static PyFT2Font *
+PyFT2Font_init(py::object filename, long hinting_factor = 8,
+               std::optional<std::vector<PyFT2Font *>> fallback_list = std::nullopt,
+               int kerning_factor = 0, bool warn_if_used = false)
 {
-    free(self->mem);
-    self->mem = NULL;
-    Py_XDECREF(self->py_file);
-    self->py_file = NULL;
-}
+    if (hinting_factor <= 0) {
+        throw py::value_error("hinting_factor must be greater than 0");
+    }
 
-static int PyFT2Font_init(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    PyObject *fname;
+    PyFT2Font *self = new PyFT2Font();
+    self->x = nullptr;
+    memset(&self->stream, 0, sizeof(FT_StreamRec));
+    self->stream.base = nullptr;
+    self->stream.size = 0x7fffffff;  // Unknown size.
+    self->stream.pos = 0;
+    self->stream.descriptor.pointer = self;
+    self->stream.read = &read_from_file_callback;
     FT_Open_Args open_args;
-    long hinting_factor = 8;
-    const char *names[] = { "filename", "hinting_factor", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "O|l:FT2Font", (char **)names, &fname, &hinting_factor)) {
-        return -1;
+    memset((void *)&open_args, 0, sizeof(FT_Open_Args));
+    open_args.flags = FT_OPEN_STREAM;
+    open_args.stream = &self->stream;
+
+    std::vector<FT2Font *> fallback_fonts;
+    if (fallback_list) {
+        // go through fallbacks to add them to our lists
+        for (auto item : *fallback_list) {
+            self->fallbacks.append(item);
+            // Also (locally) cache the underlying FT2Font objects. As long as
+            // the Python objects are kept alive, these pointer are good.
+            FT2Font *fback = item->x;
+            fallback_fonts.push_back(fback);
+        }
     }
 
-    if (!convert_open_args(self, fname, &open_args)) {
-        return -1;
+    if (py::isinstance<py::bytes>(filename) || py::isinstance<py::str>(filename)) {
+        self->py_file = py::module_::import("io").attr("open")(filename, "rb");
+        self->stream.close = &close_file_callback;
+    } else {
+        try {
+            // This will catch various issues:
+            // 1. `read` not being an attribute.
+            // 2. `read` raising an error.
+            // 3. `read` returning something other than `bytes`.
+            auto data = filename.attr("read")(0).cast<py::bytes>();
+        } catch (const std::exception&) {
+            throw py::type_error(
+                "First argument must be a path to a font file or a binary-mode file object");
+        }
+        self->py_file = filename;
+        self->stream.close = nullptr;
     }
 
-    CALL_CPP_FULL(
-        "FT2Font", (self->x = new FT2Font(open_args, hinting_factor)), PyFT2Font_fail(self), -1);
+    self->x = new FT2Font(open_args, hinting_factor, fallback_fonts, ft_glyph_warn,
+                          warn_if_used);
 
-    Py_INCREF(fname);
-    self->fname = fname;
+    self->x->set_kerning_factor(kerning_factor);
 
-    return 0;
+    return self;
 }
 
-static void PyFT2Font_dealloc(PyFT2Font *self)
+static py::str
+PyFT2Font_fname(PyFT2Font *self)
 {
-    delete self->x;
-    free(self->mem);
-    Py_XDECREF(self->py_file);
-    Py_XDECREF(self->fname);
-    Py_TYPE(self)->tp_free((PyObject *)self);
+    if (self->stream.close) {  // Called passed a filename to the constructor.
+        return self->py_file.attr("name");
+    } else {
+        return py::cast<py::str>(self->py_file);
+    }
 }
 
 const char *PyFT2Font_clear__doc__ =
-    "clear()\n"
-    "\n"
-    "Clear all the glyphs, reset for a new set_text";
+    "Clear all the glyphs, reset for a new call to `.set_text`.";
 
-static PyObject *PyFT2Font_clear(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static void
+PyFT2Font_clear(PyFT2Font *self)
 {
-    CALL_CPP("clear", (self->x->clear()));
-
-    Py_RETURN_NONE;
+    self->x->clear();
 }
 
-const char *PyFT2Font_set_size__doc__ =
-    "set_size(ptsize, dpi)\n"
-    "\n"
-    "Set the point size and dpi of the text.\n";
+const char *PyFT2Font_set_size__doc__ = R"""(
+    Set the size of the text.
 
-static PyObject *PyFT2Font_set_size(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    double ptsize;
-    double dpi;
-
-    if (!PyArg_ParseTuple(args, "dd:set_size", &ptsize, &dpi)) {
-        return NULL;
-    }
+    Parameters
+    ----------
+    ptsize : float
+        The size of the text in points.
+    dpi : float
+        The DPI used for rendering the text.
+)""";
 
-    CALL_CPP("set_size", (self->x->set_size(ptsize, dpi)));
-
-    Py_RETURN_NONE;
+static void
+PyFT2Font_set_size(PyFT2Font *self, double ptsize, double dpi)
+{
+    self->x->set_size(ptsize, dpi);
 }
 
-const char *PyFT2Font_set_charmap__doc__ =
-    "set_charmap(i)\n"
-    "\n"
-    "Make the i-th charmap current\n";
+const char *PyFT2Font_set_charmap__doc__ = R"""(
+    Make the i-th charmap current.
 
-static PyObject *PyFT2Font_set_charmap(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    int i;
+    For more details on character mapping, see the `FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-character_mapping.html>`_.
 
-    if (!PyArg_ParseTuple(args, "i:set_charmap", &i)) {
-        return NULL;
-    }
+    Parameters
+    ----------
+    i : int
+        The charmap number in the range [0, `.num_charmaps`).
 
-    CALL_CPP("set_charmap", (self->x->set_charmap(i)));
+    See Also
+    --------
+    .num_charmaps
+    .select_charmap
+    .get_charmap
+)""";
 
-    Py_RETURN_NONE;
+static void
+PyFT2Font_set_charmap(PyFT2Font *self, int i)
+{
+    self->x->set_charmap(i);
 }
 
-const char *PyFT2Font_select_charmap__doc__ =
-    "select_charmap(i)\n"
-    "\n"
-    "select charmap i where i is one of the FT_Encoding number\n";
+const char *PyFT2Font_select_charmap__doc__ = R"""(
+    Select a charmap by its FT_Encoding number.
 
-static PyObject *PyFT2Font_select_charmap(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    unsigned long i;
+    For more details on character mapping, see the `FreeType documentation
+    <https://freetype.org/freetype2/docs/reference/ft2-character_mapping.html>`_.
 
-    if (!PyArg_ParseTuple(args, "k:select_charmap", &i)) {
-        return NULL;
-    }
+    Parameters
+    ----------
+    i : int
+        The charmap in the form defined by FreeType:
+        https://freetype.org/freetype2/docs/reference/ft2-character_mapping.html#ft_encoding
 
-    CALL_CPP("select_charmap", self->x->select_charmap(i));
+    See Also
+    --------
+    .set_charmap
+    .get_charmap
+)""";
 
-    Py_RETURN_NONE;
+static void
+PyFT2Font_select_charmap(PyFT2Font *self, unsigned long i)
+{
+    self->x->select_charmap(i);
 }
 
-const char *PyFT2Font_get_kerning__doc__ =
-    "dx = get_kerning(left, right, mode)\n"
-    "\n"
-    "Get the kerning between left char and right glyph indices\n"
-    "mode is a kerning mode constant\n"
-    "  KERNING_DEFAULT  - Return scaled and grid-fitted kerning distances\n"
-    "  KERNING_UNFITTED - Return scaled but un-grid-fitted kerning distances\n"
-    "  KERNING_UNSCALED - Return the kerning vector in original font units\n";
+const char *PyFT2Font_get_kerning__doc__ = R"""(
+    Get the kerning between two glyphs.
 
-static PyObject *PyFT2Font_get_kerning(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    int left, right, mode, result;
+    Parameters
+    ----------
+    left, right : int
+        The glyph indices. Note these are not characters nor character codes.
+        Use `.get_char_index` to convert character codes to glyph indices.
 
-    if (!PyArg_ParseTuple(args, "iii:get_kerning", &left, &right, &mode)) {
-        return NULL;
-    }
+    mode : Kerning
+        A kerning mode constant:
 
-    CALL_CPP("get_kerning", (result = self->x->get_kerning(left, right, mode)));
+        - ``DEFAULT``  - Return scaled and grid-fitted kerning distances.
+        - ``UNFITTED`` - Return scaled but un-grid-fitted kerning distances.
+        - ``UNSCALED`` - Return the kerning vector in original font units.
 
-    return PyLong_FromLong(result);
-}
+        .. versionchanged:: 3.10
+            This now takes a `.ft2font.Kerning` value instead of an `int`.
 
-const char *PyFT2Font_set_text__doc__ =
-    "set_text(s, angle)\n"
-    "\n"
-    "Set the text string and angle.\n"
-    "You must call this before draw_glyphs_to_bitmap\n"
-    "A sequence of x,y positions is returned";
+    Returns
+    -------
+    int
+        The kerning adjustment between the two glyphs.
+)""";
 
-static PyObject *PyFT2Font_set_text(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static int
+PyFT2Font_get_kerning(PyFT2Font *self, FT_UInt left, FT_UInt right,
+                      std::variant<FT_Kerning_Mode, FT_UInt> mode_or_int)
 {
-    PyObject *textobj;
-    double angle = 0.0;
-    FT_UInt32 flags = FT_LOAD_FORCE_AUTOHINT;
-    std::vector<double> xys;
-    const char *names[] = { "string", "angle", "flags", NULL };
+    bool fallback = true;
+    FT_Kerning_Mode mode;
 
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "O|dI:set_text", (char **)names, &textobj, &angle, &flags)) {
-        return NULL;
-    }
-
-    std::vector<uint32_t> codepoints;
-    size_t size;
-
-    if (PyUnicode_Check(textobj)) {
-        size = PyUnicode_GET_SIZE(textobj);
-        codepoints.resize(size);
-        Py_UNICODE *unistr = PyUnicode_AsUnicode(textobj);
-        for (size_t i = 0; i < size; ++i) {
-            codepoints[i] = unistr[i];
-        }
-    } else if (PyBytes_Check(textobj)) {
-        size = PyBytes_Size(textobj);
-        codepoints.resize(size);
-        char *bytestr = PyBytes_AsString(textobj);
-        for (size_t i = 0; i < size; ++i) {
-            codepoints[i] = bytestr[i];
-        }
+    if (auto value = std::get_if<FT_UInt>(&mode_or_int)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="mode", "obj_type"_a="parameter as int",
+             "alternative"_a="Kerning enum values");
+        mode = static_cast<FT_Kerning_Mode>(*value);
+    } else if (auto value = std::get_if<FT_Kerning_Mode>(&mode_or_int)) {
+        mode = *value;
     } else {
-        PyErr_SetString(PyExc_TypeError, "String must be unicode or bytes");
-        return NULL;
+        // NOTE: this can never happen as pybind11 would have checked the type in the
+        // Python wrapper before calling this function, but we need to keep the
+        // std::get_if instead of std::get for macOS 10.12 compatibility.
+        throw py::type_error("mode must be Kerning or int");
     }
 
-    CALL_CPP("set_text", self->x->set_text(size, &codepoints[0], angle, flags, xys));
-
-    return convert_xys_to_array(xys);
+    return self->x->get_kerning(left, right, mode, fallback);
 }
 
-const char *PyFT2Font_get_num_glyphs__doc__ =
-    "get_num_glyphs()\n"
-    "\n"
-    "Return the number of loaded glyphs\n";
+const char *PyFT2Font_get_fontmap__doc__ = R"""(
+    Get a mapping between characters and the font that includes them.
 
-static PyObject *PyFT2Font_get_num_glyphs(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    return PyLong_FromLong(self->x->get_num_glyphs());
-}
-
-const char *PyFT2Font_load_char__doc__ =
-    "load_char(charcode, flags=LOAD_FORCE_AUTOHINT)\n"
-    "\n"
-    "Load character with charcode in current fontfile and set glyph.\n"
-    "The flags argument can be a bitwise-or of the LOAD_XXX constants.\n"
-    "Return value is a Glyph object, with attributes\n"
-    "  width          # glyph width\n"
-    "  height         # glyph height\n"
-    "  bbox           # the glyph bbox (xmin, ymin, xmax, ymax)\n"
-    "  horiBearingX   # left side bearing in horizontal layouts\n"
-    "  horiBearingY   # top side bearing in horizontal layouts\n"
-    "  horiAdvance    # advance width for horizontal layout\n"
-    "  vertBearingX   # left side bearing in vertical layouts\n"
-    "  vertBearingY   # top side bearing in vertical layouts\n"
-    "  vertAdvance    # advance height for vertical layout\n";
-
-static PyObject *PyFT2Font_load_char(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    long charcode;
-    FT_UInt32 flags = FT_LOAD_FORCE_AUTOHINT;
-    const char *names[] = { "charcode", "flags", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "k|I:load_char", (char **)names, &charcode, &flags)) {
-        return NULL;
-    }
+    .. warning::
+        This API uses the fallback list and is both private and provisional: do not use
+        it directly.
 
-    CALL_CPP("load_char", (self->x->load_char(charcode, flags)));
+    Parameters
+    ----------
+    text : str
+        The characters for which to find fonts.
 
-    return PyGlyph_new(self->x->get_face(),
-                       self->x->get_last_glyph(),
-                       self->x->get_last_glyph_index(),
-                       self->x->get_hinting_factor());
-}
+    Returns
+    -------
+    dict[str, FT2Font]
+        A dictionary mapping unicode characters to `.FT2Font` objects.
+)""";
 
-const char *PyFT2Font_load_glyph__doc__ =
-    "load_glyph(glyphindex, flags=LOAD_FORCE_AUTOHINT)\n"
-    "\n"
-    "Load character with glyphindex in current fontfile and set glyph.\n"
-    "The flags argument can be a bitwise-or of the LOAD_XXX constants.\n"
-    "Return value is a Glyph object, with attributes\n"
-    "  width          # glyph width\n"
-    "  height         # glyph height\n"
-    "  bbox           # the glyph bbox (xmin, ymin, xmax, ymax)\n"
-    "  horiBearingX   # left side bearing in horizontal layouts\n"
-    "  horiBearingY   # top side bearing in horizontal layouts\n"
-    "  horiAdvance    # advance width for horizontal layout\n"
-    "  vertBearingX   # left side bearing in vertical layouts\n"
-    "  vertBearingY   # top side bearing in vertical layouts\n"
-    "  vertAdvance    # advance height for vertical layout\n";
-
-static PyObject *PyFT2Font_load_glyph(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static py::dict
+PyFT2Font_get_fontmap(PyFT2Font *self, std::u32string text)
 {
-    FT_UInt glyph_index;
-    FT_UInt32 flags = FT_LOAD_FORCE_AUTOHINT;
-    const char *names[] = { "glyph_index", "flags", NULL };
+    std::set<FT_ULong> codepoints;
 
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "I|I:load_glyph", (char **)names, &glyph_index, &flags)) {
-        return NULL;
-    }
+    py::dict char_to_font;
+    for (auto code : text) {
+        if (!codepoints.insert(code).second) {
+            continue;
+        }
 
-    CALL_CPP("load_glyph", (self->x->load_glyph(glyph_index, flags)));
+        py::object target_font;
+        int index;
+        if (self->x->get_char_fallback_index(code, index)) {
+            if (index >= 0) {
+                target_font = self->fallbacks[index];
+            } else {
+                target_font = py::cast(self);
+            }
+        } else {
+            // TODO Handle recursion!
+            target_font = py::cast(self);
+        }
 
-    return PyGlyph_new(self->x->get_face(),
-                       self->x->get_last_glyph(),
-                       self->x->get_last_glyph_index(),
-                       self->x->get_hinting_factor());
+        auto key = py::cast(std::u32string(1, code));
+        char_to_font[key] = target_font;
+    }
+    return char_to_font;
 }
 
-const char *PyFT2Font_get_width_height__doc__ =
-    "w, h = get_width_height()\n"
-    "\n"
-    "Get the width and height in 26.6 subpixels of the current string set by set_text\n"
-    "The rotation of the string is accounted for.  To get width and height\n"
-    "in pixels, divide these values by 64\n";
+const char *PyFT2Font_set_text__doc__ = R"""(
+    Set the text *string* and *angle*.
 
-static PyObject *PyFT2Font_get_width_height(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    long width, height;
+    You must call this before `.draw_glyphs_to_bitmap`.
 
-    CALL_CPP("get_width_height", (self->x->get_width_height(&width, &height)));
+    Parameters
+    ----------
+    string : str
+        The text to prepare rendering information for.
+    angle : float
+        The angle at which to render the supplied text.
+    flags : LoadFlags, default: `.LoadFlags.FORCE_AUTOHINT`
+        Any bitwise-OR combination of the `.LoadFlags` flags.
 
-    return Py_BuildValue("ll", width, height);
-}
+        .. versionchanged:: 3.10
+            This now takes an `.ft2font.LoadFlags` instead of an int.
 
-const char *PyFT2Font_get_descent__doc__ =
-    "d = get_descent()\n"
-    "\n"
-    "Get the descent of the current string set by set_text in 26.6 subpixels.\n"
-    "The rotation of the string is accounted for.  To get the descent\n"
-    "in pixels, divide this value by 64.\n";
+    Returns
+    -------
+    np.ndarray[double]
+        A sequence of x,y glyph positions in 26.6 subpixels; divide by 64 for pixels.
+)""";
 
-static PyObject *PyFT2Font_get_descent(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static py::array_t<double>
+PyFT2Font_set_text(PyFT2Font *self, std::u32string_view text, double angle = 0.0,
+                   std::variant<LoadFlags, FT_Int32> flags_or_int = LoadFlags::FORCE_AUTOHINT)
 {
-    long descent;
+    std::vector<double> xys;
+    LoadFlags flags;
+
+    if (auto value = std::get_if<FT_Int32>(&flags_or_int)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="flags", "obj_type"_a="parameter as int",
+             "alternative"_a="LoadFlags enum values");
+        flags = static_cast<LoadFlags>(*value);
+    } else if (auto value = std::get_if<LoadFlags>(&flags_or_int)) {
+        flags = *value;
+    } else {
+        // NOTE: this can never happen as pybind11 would have checked the type in the
+        // Python wrapper before calling this function, but we need to keep the
+        // std::get_if instead of std::get for macOS 10.12 compatibility.
+        throw py::type_error("flags must be LoadFlags or int");
+    }
 
-    CALL_CPP("get_descent", (descent = self->x->get_descent()));
+    self->x->set_text(text, angle, static_cast<FT_Int32>(flags), xys);
 
-    return PyLong_FromLong(descent);
+    py::ssize_t dims[] = { static_cast<py::ssize_t>(xys.size()) / 2, 2 };
+    py::array_t<double> result(dims);
+    if (xys.size() > 0) {
+        memcpy(result.mutable_data(), xys.data(), result.nbytes());
+    }
+    return result;
 }
 
-const char *PyFT2Font_draw_glyphs_to_bitmap__doc__ =
-    "draw_glyphs_to_bitmap()\n"
-    "\n"
-    "Draw the glyphs that were loaded by set_text to the bitmap\n"
-    "The bitmap size will be automatically set to include the glyphs\n";
+const char *PyFT2Font_get_num_glyphs__doc__ = "Return the number of loaded glyphs.";
 
-static PyObject *PyFT2Font_draw_glyphs_to_bitmap(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static size_t
+PyFT2Font_get_num_glyphs(PyFT2Font *self)
 {
-    int antialiased = 1;
-    const char *names[] = { "antialiased", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-             args, kwds, "|i:draw_glyphs_to_bitmap", (char **)names, &antialiased)) {
-        return NULL;
-    }
-
-    CALL_CPP("draw_glyphs_to_bitmap", (self->x->draw_glyphs_to_bitmap(antialiased)));
-
-    Py_RETURN_NONE;
+    return self->x->get_num_glyphs();
 }
 
-const char *PyFT2Font_get_xys__doc__ =
-    "get_xys()\n"
-    "\n"
-    "Get the xy locations of the current glyphs\n";
+const char *PyFT2Font_load_char__doc__ = R"""(
+    Load character in current fontfile and set glyph.
 
-static PyObject *PyFT2Font_get_xys(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    int antialiased = 1;
-    std::vector<double> xys;
-    const char *names[] = { "antialiased", NULL };
+    Parameters
+    ----------
+    charcode : int
+        The character code to prepare rendering information for. This code must be in
+        the charmap, or else a ``.notdef`` glyph may be returned instead.
+    flags : LoadFlags, default: `.LoadFlags.FORCE_AUTOHINT`
+        Any bitwise-OR combination of the `.LoadFlags` flags.
 
-    if (!PyArg_ParseTupleAndKeywords(args, kwds, "|i:get_xys", (char **)names, &antialiased)) {
-        return NULL;
-    }
+        .. versionchanged:: 3.10
+            This now takes an `.ft2font.LoadFlags` instead of an int.
 
-    CALL_CPP("get_xys", (self->x->get_xys(antialiased, xys)));
+    Returns
+    -------
+    Glyph
+        The glyph information corresponding to the specified character.
 
-    return convert_xys_to_array(xys);
-}
+    See Also
+    --------
+    .load_glyph
+    .select_charmap
+    .set_charmap
+)""";
 
-const char *PyFT2Font_draw_glyph_to_bitmap__doc__ =
-    "draw_glyph_to_bitmap(bitmap, x, y, glyph)\n"
-    "\n"
-    "Draw a single glyph to the bitmap at pixel locations x,y\n"
-    "Note it is your responsibility to set up the bitmap manually\n"
-    "with set_bitmap_size(w,h) before this call is made.\n"
-    "\n"
-    "If you want automatic layout, use set_text in combinations with\n"
-    "draw_glyphs_to_bitmap.  This function is intended for people who\n"
-    "want to render individual glyphs at precise locations, eg, a\n"
-    "a glyph returned by load_char\n";
-
-static PyObject *PyFT2Font_draw_glyph_to_bitmap(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static PyGlyph *
+PyFT2Font_load_char(PyFT2Font *self, long charcode,
+                    std::variant<LoadFlags, FT_Int32> flags_or_int = LoadFlags::FORCE_AUTOHINT)
 {
-    PyFT2Image *image;
-    double xd, yd;
-    PyGlyph *glyph;
-    int antialiased = 1;
-    const char *names[] = { "image", "x", "y", "glyph", "antialiased", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(args,
-                                     kwds,
-                                     "O!ddO!|i:draw_glyph_to_bitmap",
-                                     (char **)names,
-                                     &PyFT2ImageType,
-                                     &image,
-                                     &xd,
-                                     &yd,
-                                     &PyGlyphType,
-                                     &glyph,
-                                     &antialiased)) {
-        return NULL;
+    bool fallback = true;
+    FT2Font *ft_object = nullptr;
+    LoadFlags flags;
+
+    if (auto value = std::get_if<FT_Int32>(&flags_or_int)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="flags", "obj_type"_a="parameter as int",
+             "alternative"_a="LoadFlags enum values");
+        flags = static_cast<LoadFlags>(*value);
+    } else if (auto value = std::get_if<LoadFlags>(&flags_or_int)) {
+        flags = *value;
+    } else {
+        // NOTE: this can never happen as pybind11 would have checked the type in the
+        // Python wrapper before calling this function, but we need to keep the
+        // std::get_if instead of std::get for macOS 10.12 compatibility.
+        throw py::type_error("flags must be LoadFlags or int");
     }
 
-    CALL_CPP("draw_glyph_to_bitmap",
-             self->x->draw_glyph_to_bitmap(*(image->x), xd, yd, glyph->glyphInd, antialiased));
+    self->x->load_char(charcode, static_cast<FT_Int32>(flags), ft_object, fallback);
 
-    Py_RETURN_NONE;
+    return PyGlyph_from_FT2Font(ft_object);
 }
 
-const char *PyFT2Font_get_glyph_name__doc__ =
-    "get_glyph_name(index)\n"
-    "\n"
-    "Retrieves the ASCII name of a given glyph in a face.\n";
+const char *PyFT2Font_load_glyph__doc__ = R"""(
+    Load glyph index in current fontfile and set glyph.
 
-static PyObject *PyFT2Font_get_glyph_name(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    unsigned int glyph_number;
-    char buffer[128];
+    Note that the glyph index is specific to a font, and not universal like a Unicode
+    code point.
 
-    if (!PyArg_ParseTuple(args, "i:get_glyph_name", &glyph_number)) {
-        return NULL;
-    }
+    Parameters
+    ----------
+    glyph_index : int
+        The glyph index to prepare rendering information for.
+    flags : LoadFlags, default: `.LoadFlags.FORCE_AUTOHINT`
+        Any bitwise-OR combination of the `.LoadFlags` flags.
 
-    CALL_CPP("get_glyph_name", (self->x->get_glyph_name(glyph_number, buffer)));
+        .. versionchanged:: 3.10
+            This now takes an `.ft2font.LoadFlags` instead of an int.
 
-    return PyUnicode_FromString(buffer);
-}
+    Returns
+    -------
+    Glyph
+        The glyph information corresponding to the specified index.
 
-const char *PyFT2Font_get_charmap__doc__ =
-    "get_charmap()\n"
-    "\n"
-    "Returns a dictionary that maps the character codes of the selected charmap\n"
-    "(Unicode by default) to their corresponding glyph indices.\n";
+    See Also
+    --------
+    .load_char
+)""";
 
-static PyObject *PyFT2Font_get_charmap(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static PyGlyph *
+PyFT2Font_load_glyph(PyFT2Font *self, FT_UInt glyph_index,
+                     std::variant<LoadFlags, FT_Int32> flags_or_int = LoadFlags::FORCE_AUTOHINT)
 {
-    PyObject *charmap;
+    bool fallback = true;
+    FT2Font *ft_object = nullptr;
+    LoadFlags flags;
 
-    charmap = PyDict_New();
-    if (charmap == NULL) {
-        return NULL;
+    if (auto value = std::get_if<FT_Int32>(&flags_or_int)) {
+        auto api = py::module_::import("matplotlib._api");
+        auto warn = api.attr("warn_deprecated");
+        warn("since"_a="3.10", "name"_a="flags", "obj_type"_a="parameter as int",
+             "alternative"_a="LoadFlags enum values");
+        flags = static_cast<LoadFlags>(*value);
+    } else if (auto value = std::get_if<LoadFlags>(&flags_or_int)) {
+        flags = *value;
+    } else {
+        // NOTE: this can never happen as pybind11 would have checked the type in the
+        // Python wrapper before calling this function, but we need to keep the
+        // std::get_if instead of std::get for macOS 10.12 compatibility.
+        throw py::type_error("flags must be LoadFlags or int");
     }
 
-    FT_UInt index;
-    FT_ULong code = FT_Get_First_Char(self->x->get_face(), &index);
-    while (index != 0) {
-        PyObject *key;
-        PyObject *val;
-
-        key = PyLong_FromLong(code);
-        if (key == NULL) {
-            Py_DECREF(charmap);
-            return NULL;
-        }
-
-        val = PyLong_FromLong(index);
-        if (val == NULL) {
-            Py_DECREF(key);
-            Py_DECREF(charmap);
-            return NULL;
-        }
+    self->x->load_glyph(glyph_index, static_cast<FT_Int32>(flags), ft_object, fallback);
 
-        if (PyDict_SetItem(charmap, key, val)) {
-            Py_DECREF(key);
-            Py_DECREF(val);
-            Py_DECREF(charmap);
-            return NULL;
-        }
+    return PyGlyph_from_FT2Font(ft_object);
+}
 
-        Py_DECREF(key);
-        Py_DECREF(val);
+const char *PyFT2Font_get_width_height__doc__ = R"""(
+    Get the dimensions of the current string set by `.set_text`.
 
-        code = FT_Get_Next_Char(self->x->get_face(), code, &index);
-    }
+    The rotation of the string is accounted for.
 
-    return charmap;
-}
+    Returns
+    -------
+    width, height : float
+        The width and height in 26.6 subpixels of the current string. To get width and
+        height in pixels, divide these values by 64.
 
-const char *PyFT2Font_get_sfnt__doc__ =
-    "get_sfnt(name)\n"
-    "\n"
-    "Get all values from the SFNT names table.  Result is a dictionary whose"
-    "key is the platform-ID, ISO-encoding-scheme, language-code, and"
-    "description.\n";
+    See Also
+    --------
+    .get_bitmap_offset
+    .get_descent
+)""";
 
-static PyObject *PyFT2Font_get_sfnt(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static py::tuple
+PyFT2Font_get_width_height(PyFT2Font *self)
 {
-    PyObject *names;
-
-    if (!(self->x->get_face()->face_flags & FT_FACE_FLAG_SFNT)) {
-        PyErr_SetString(PyExc_ValueError, "No SFNT name table");
-        return NULL;
-    }
+    long width, height;
 
-    size_t count = FT_Get_Sfnt_Name_Count(self->x->get_face());
+    self->x->get_width_height(&width, &height);
 
-    names = PyDict_New();
-    if (names == NULL) {
-        return NULL;
-    }
+    return py::make_tuple(width, height);
+}
 
-    for (FT_UInt j = 0; j < count; ++j) {
-        FT_SfntName sfnt;
-        FT_Error error = FT_Get_Sfnt_Name(self->x->get_face(), j, &sfnt);
+const char *PyFT2Font_get_bitmap_offset__doc__ = R"""(
+    Get the (x, y) offset for the bitmap if ink hangs left or below (0, 0).
 
-        if (error) {
-            Py_DECREF(names);
-            PyErr_SetString(PyExc_ValueError, "Could not get SFNT name");
-            return NULL;
-        }
+    Since Matplotlib only supports left-to-right text, y is always 0.
 
-        PyObject *key = Py_BuildValue(
-            "iiii", sfnt.platform_id, sfnt.encoding_id, sfnt.language_id, sfnt.name_id);
-        if (key == NULL) {
-            Py_DECREF(names);
-            return NULL;
-        }
+    Returns
+    -------
+    x, y : float
+        The x and y offset in 26.6 subpixels of the bitmap. To get x and y in pixels,
+        divide these values by 64.
 
-        PyObject *val = PyBytes_FromStringAndSize((const char *)sfnt.string, sfnt.string_len);
-        if (val == NULL) {
-            Py_DECREF(key);
-            Py_DECREF(names);
-            return NULL;
-        }
+    See Also
+    --------
+    .get_width_height
+    .get_descent
+)""";
 
-        if (PyDict_SetItem(names, key, val)) {
-            Py_DECREF(key);
-            Py_DECREF(val);
-            Py_DECREF(names);
-            return NULL;
-        }
+static py::tuple
+PyFT2Font_get_bitmap_offset(PyFT2Font *self)
+{
+    long x, y;
 
-        Py_DECREF(key);
-        Py_DECREF(val);
-    }
+    self->x->get_bitmap_offset(&x, &y);
 
-    return names;
+    return py::make_tuple(x, y);
 }
 
-const char *PyFT2Font_get_name_index__doc__ =
-    "get_name_index(name)\n"
-    "\n"
-    "Returns the glyph index of a given glyph name.\n"
-    "The glyph index 0 means `undefined character code'.\n";
+const char *PyFT2Font_get_descent__doc__ = R"""(
+    Get the descent of the current string set by `.set_text`.
 
-static PyObject *PyFT2Font_get_name_index(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    char *glyphname;
-    long name_index;
+    The rotation of the string is accounted for.
 
-    if (!PyArg_ParseTuple(args, "es:get_name_index", "ascii", &glyphname)) {
-        return NULL;
-    }
+    Returns
+    -------
+    int
+        The descent in 26.6 subpixels of the bitmap. To get the descent in pixels,
+        divide these values by 64.
 
-    CALL_CPP("get_name_index", name_index = self->x->get_name_index(glyphname));
+    See Also
+    --------
+    .get_bitmap_offset
+    .get_width_height
+)""";
 
-    return PyLong_FromLong(name_index);
+static long
+PyFT2Font_get_descent(PyFT2Font *self)
+{
+    return self->x->get_descent();
 }
 
-const char *PyFT2Font_get_ps_font_info__doc__ =
-    "get_ps_font_info()\n"
-    "\n"
-    "Return the information in the PS Font Info structure.\n";
+const char *PyFT2Font_draw_glyphs_to_bitmap__doc__ = R"""(
+    Draw the glyphs that were loaded by `.set_text` to the bitmap.
 
-static PyObject *PyFT2Font_get_ps_font_info(PyFT2Font *self, PyObject *args, PyObject *kwds)
-{
-    PS_FontInfoRec fontinfo;
+    The bitmap size will be automatically set to include the glyphs.
 
-    FT_Error error = FT_Get_PS_Font_Info(self->x->get_face(), &fontinfo);
-    if (error) {
-        PyErr_SetString(PyExc_ValueError, "Could not get PS font info");
-        return NULL;
-    }
+    Parameters
+    ----------
+    antialiased : bool, default: True
+        Whether to render glyphs 8-bit antialiased or in pure black-and-white.
 
-    return Py_BuildValue("sssssliii",
-                         fontinfo.version ? fontinfo.version : "",
-                         fontinfo.notice ? fontinfo.notice : "",
-                         fontinfo.full_name ? fontinfo.full_name : "",
-                         fontinfo.family_name ? fontinfo.family_name : "",
-                         fontinfo.weight ? fontinfo.weight : "",
-                         fontinfo.italic_angle,
-                         fontinfo.is_fixed_pitch,
-                         fontinfo.underline_position,
-                         fontinfo.underline_thickness);
-}
-
-const char *PyFT2Font_get_sfnt_table__doc__ =
-    "get_sfnt_table(name)\n"
-    "\n"
-    "Return one of the following SFNT tables: head, maxp, OS/2, hhea, "
-    "vhea, post, or pclt.\n";
+    See Also
+    --------
+    .draw_glyph_to_bitmap
+)""";
 
-static PyObject *PyFT2Font_get_sfnt_table(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static void
+PyFT2Font_draw_glyphs_to_bitmap(PyFT2Font *self, bool antialiased = true)
 {
-    char *tagname;
+    self->x->draw_glyphs_to_bitmap(antialiased);
+}
 
-    if (!PyArg_ParseTuple(args, "es:get_sfnt_table", "ascii", &tagname)) {
-        return NULL;
-    }
+const char *PyFT2Font_draw_glyph_to_bitmap__doc__ = R"""(
+    Draw a single glyph to the bitmap at pixel locations x, y.
 
-    int tag;
-    const char *tags[] = { "head", "maxp", "OS/2", "hhea", "vhea", "post", "pclt", NULL };
+    Note it is your responsibility to create the image manually with the correct size
+    before this call is made.
 
-    for (tag = 0; tags[tag] != NULL; tag++) {
-        if (strncmp(tagname, tags[tag], 5) == 0) {
-            break;
-        }
-    }
+    If you want automatic layout, use `.set_text` in combinations with
+    `.draw_glyphs_to_bitmap`. This function is instead intended for people who want to
+    render individual glyphs (e.g., returned by `.load_char`) at precise locations.
 
-    void *table = FT_Get_Sfnt_Table(self->x->get_face(), (FT_Sfnt_Tag)tag);
-    if (!table) {
-        Py_RETURN_NONE;
-    }
-
-    switch (tag) {
-    case 0: {
-        char head_dict[] =
-            "{s:(h,h), s:(h,h), s:l, s:l, s:i, s:i,"
-            "s:(l,l), s:(l,l), s:h, s:h, s:h, s:h, s:i, s:i, s:h, s:h, s:h}";
-        TT_Header *t = (TT_Header *)table;
-        return Py_BuildValue(head_dict,
-                             "version",
-                             FIXED_MAJOR(t->Table_Version),
-                             FIXED_MINOR(t->Table_Version),
-                             "fontRevision",
-                             FIXED_MAJOR(t->Font_Revision),
-                             FIXED_MINOR(t->Font_Revision),
-                             "checkSumAdjustment",
-                             t->CheckSum_Adjust,
-                             "magicNumber",
-                             t->Magic_Number,
-                             "flags",
-                             (unsigned)t->Flags,
-                             "unitsPerEm",
-                             (unsigned)t->Units_Per_EM,
-                             "created",
-                             t->Created[0],
-                             t->Created[1],
-                             "modified",
-                             t->Modified[0],
-                             t->Modified[1],
-                             "xMin",
-                             t->xMin,
-                             "yMin",
-                             t->yMin,
-                             "xMax",
-                             t->xMax,
-                             "yMax",
-                             t->yMax,
-                             "macStyle",
-                             (unsigned)t->Mac_Style,
-                             "lowestRecPPEM",
-                             (unsigned)t->Lowest_Rec_PPEM,
-                             "fontDirectionHint",
-                             t->Font_Direction,
-                             "indexToLocFormat",
-                             t->Index_To_Loc_Format,
-                             "glyphDataFormat",
-                             t->Glyph_Data_Format);
-    }
-    case 1: {
-        char maxp_dict[] =
-            "{s:(h,h), s:i, s:i, s:i, s:i, s:i, s:i,"
-            "s:i, s:i, s:i, s:i, s:i, s:i, s:i, s:i}";
-        TT_MaxProfile *t = (TT_MaxProfile *)table;
-        return Py_BuildValue(maxp_dict,
-                             "version",
-                             FIXED_MAJOR(t->version),
-                             FIXED_MINOR(t->version),
-                             "numGlyphs",
-                             (unsigned)t->numGlyphs,
-                             "maxPoints",
-                             (unsigned)t->maxPoints,
-                             "maxContours",
-                             (unsigned)t->maxContours,
-                             "maxComponentPoints",
-                             (unsigned)t->maxCompositePoints,
-                             "maxComponentContours",
-                             (unsigned)t->maxCompositeContours,
-                             "maxZones",
-                             (unsigned)t->maxZones,
-                             "maxTwilightPoints",
-                             (unsigned)t->maxTwilightPoints,
-                             "maxStorage",
-                             (unsigned)t->maxStorage,
-                             "maxFunctionDefs",
-                             (unsigned)t->maxFunctionDefs,
-                             "maxInstructionDefs",
-                             (unsigned)t->maxInstructionDefs,
-                             "maxStackElements",
-                             (unsigned)t->maxStackElements,
-                             "maxSizeOfInstructions",
-                             (unsigned)t->maxSizeOfInstructions,
-                             "maxComponentElements",
-                             (unsigned)t->maxComponentElements,
-                             "maxComponentDepth",
-                             (unsigned)t->maxComponentDepth);
-    }
-    case 2: {
-#if PY3K
-        char os_2_dict[] =
-            "{s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:h,"
-            "s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:y#, s:(llll),"
-            "s:y#, s:h, s:h, s:h}";
-#else
-        char os_2_dict[] =
-            "{s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:h,"
-            "s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:h, s:s#, s:(llll),"
-            "s:s#, s:h, s:h, s:h}";
-#endif
-        TT_OS2 *t = (TT_OS2 *)table;
-        return Py_BuildValue(os_2_dict,
-                             "version",
-                             (unsigned)t->version,
-                             "xAvgCharWidth",
-                             t->xAvgCharWidth,
-                             "usWeightClass",
-                             (unsigned)t->usWeightClass,
-                             "usWidthClass",
-                             (unsigned)t->usWidthClass,
-                             "fsType",
-                             t->fsType,
-                             "ySubscriptXSize",
-                             t->ySubscriptXSize,
-                             "ySubscriptYSize",
-                             t->ySubscriptYSize,
-                             "ySubscriptXOffset",
-                             t->ySubscriptXOffset,
-                             "ySubscriptYOffset",
-                             t->ySubscriptYOffset,
-                             "ySuperscriptXSize",
-                             t->ySuperscriptXSize,
-                             "ySuperscriptYSize",
-                             t->ySuperscriptYSize,
-                             "ySuperscriptXOffset",
-                             t->ySuperscriptXOffset,
-                             "ySuperscriptYOffset",
-                             t->ySuperscriptYOffset,
-                             "yStrikeoutSize",
-                             t->yStrikeoutSize,
-                             "yStrikeoutPosition",
-                             t->yStrikeoutPosition,
-                             "sFamilyClass",
-                             t->sFamilyClass,
-                             "panose",
-                             t->panose,
-                             10,
-                             "ulCharRange",
-                             (unsigned long)t->ulUnicodeRange1,
-                             (unsigned long)t->ulUnicodeRange2,
-                             (unsigned long)t->ulUnicodeRange3,
-                             (unsigned long)t->ulUnicodeRange4,
-                             "achVendID",
-                             t->achVendID,
-                             4,
-                             "fsSelection",
-                             (unsigned)t->fsSelection,
-                             "fsFirstCharIndex",
-                             (unsigned)t->usFirstCharIndex,
-                             "fsLastCharIndex",
-                             (unsigned)t->usLastCharIndex);
-    }
-    case 3: {
-        char hhea_dict[] =
-            "{s:(h,h), s:h, s:h, s:h, s:i, s:h, s:h, s:h,"
-            "s:h, s:h, s:h, s:h, s:i}";
-        TT_HoriHeader *t = (TT_HoriHeader *)table;
-        return Py_BuildValue(hhea_dict,
-                             "version",
-                             FIXED_MAJOR(t->Version),
-                             FIXED_MINOR(t->Version),
-                             "ascent",
-                             t->Ascender,
-                             "descent",
-                             t->Descender,
-                             "lineGap",
-                             t->Line_Gap,
-                             "advanceWidthMax",
-                             (unsigned)t->advance_Width_Max,
-                             "minLeftBearing",
-                             t->min_Left_Side_Bearing,
-                             "minRightBearing",
-                             t->min_Right_Side_Bearing,
-                             "xMaxExtent",
-                             t->xMax_Extent,
-                             "caretSlopeRise",
-                             t->caret_Slope_Rise,
-                             "caretSlopeRun",
-                             t->caret_Slope_Run,
-                             "caretOffset",
-                             t->caret_Offset,
-                             "metricDataFormat",
-                             t->metric_Data_Format,
-                             "numOfLongHorMetrics",
-                             (unsigned)t->number_Of_HMetrics);
-    }
-    case 4: {
-        char vhea_dict[] =
-            "{s:(h,h), s:h, s:h, s:h, s:i, s:h, s:h, s:h,"
-            "s:h, s:h, s:h, s:h, s:i}";
-        TT_VertHeader *t = (TT_VertHeader *)table;
-        return Py_BuildValue(vhea_dict,
-                             "version",
-                             FIXED_MAJOR(t->Version),
-                             FIXED_MINOR(t->Version),
-                             "vertTypoAscender",
-                             t->Ascender,
-                             "vertTypoDescender",
-                             t->Descender,
-                             "vertTypoLineGap",
-                             t->Line_Gap,
-                             "advanceHeightMax",
-                             (unsigned)t->advance_Height_Max,
-                             "minTopSideBearing",
-                             t->min_Top_Side_Bearing,
-                             "minBottomSizeBearing",
-                             t->min_Bottom_Side_Bearing,
-                             "yMaxExtent",
-                             t->yMax_Extent,
-                             "caretSlopeRise",
-                             t->caret_Slope_Rise,
-                             "caretSlopeRun",
-                             t->caret_Slope_Run,
-                             "caretOffset",
-                             t->caret_Offset,
-                             "metricDataFormat",
-                             t->metric_Data_Format,
-                             "numOfLongVerMetrics",
-                             (unsigned)t->number_Of_VMetrics);
-    }
-    case 5: {
-        char post_dict[] = "{s:(h,h), s:(h,h), s:h, s:h, s:k, s:k, s:k, s:k, s:k}";
-        TT_Postscript *t = (TT_Postscript *)table;
-        return Py_BuildValue(post_dict,
-                             "format",
-                             FIXED_MAJOR(t->FormatType),
-                             FIXED_MINOR(t->FormatType),
-                             "italicAngle",
-                             FIXED_MAJOR(t->italicAngle),
-                             FIXED_MINOR(t->italicAngle),
-                             "underlinePosition",
-                             t->underlinePosition,
-                             "underlineThickness",
-                             t->underlineThickness,
-                             "isFixedPitch",
-                             t->isFixedPitch,
-                             "minMemType42",
-                             t->minMemType42,
-                             "maxMemType42",
-                             t->maxMemType42,
-                             "minMemType1",
-                             t->minMemType1,
-                             "maxMemType1",
-                             t->maxMemType1);
-    }
-    case 6: {
-        #if PY3K
-        char pclt_dict[] =
-            "{s:(h,h), s:k, s:H, s:H, s:H, s:H, s:H, s:H, s:s, s:y, s:b, s:b, "
-            "s:b}";
-        #else
-        char pclt_dict[] =
-            "{s:(h,h), s:k, s:H, s:H, s:H, s:H, s:H, s:H, s:s, s:s, s:b, s:b, "
-            "s:b}";
-        #endif
-        TT_PCLT *t = (TT_PCLT *)table;
-        return Py_BuildValue(pclt_dict,
-                             "version",
-                             FIXED_MAJOR(t->Version),
-                             FIXED_MINOR(t->Version),
-                             "fontNumber",
-                             t->FontNumber,
-                             "pitch",
-                             t->Pitch,
-                             "xHeight",
-                             t->xHeight,
-                             "style",
-                             t->Style,
-                             "typeFamily",
-                             t->TypeFamily,
-                             "capHeight",
-                             t->CapHeight,
-                             "symbolSet",
-                             t->SymbolSet,
-                             "typeFace",
-                             t->TypeFace,
-                             "characterComplement",
-                             t->CharacterComplement,
-                             "strokeWeight",
-                             t->StrokeWeight,
-                             "widthType",
-                             t->WidthType,
-                             "serifStyle",
-                             t->SerifStyle);
-    }
-    default:
-        Py_RETURN_NONE;
-    }
-}
+    Parameters
+    ----------
+    image : 2d array of uint8
+        The image buffer on which to draw the glyph.
+    x, y : int
+        The pixel location at which to draw the glyph.
+    glyph : Glyph
+        The glyph to draw.
+    antialiased : bool, default: True
+        Whether to render glyphs 8-bit antialiased or in pure black-and-white.
 
-const char *PyFT2Font_get_path__doc__ =
-    "get_path()\n"
-    "\n"
-    "Get the path data from the currently loaded glyph as a tuple of vertices, "
-    "codes.\n";
+    See Also
+    --------
+    .draw_glyphs_to_bitmap
+)""";
 
-static PyObject *PyFT2Font_get_path(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static void
+PyFT2Font_draw_glyph_to_bitmap(PyFT2Font *self, py::buffer &image,
+                               double_or_<int> vxd, double_or_<int> vyd,
+                               PyGlyph *glyph, bool antialiased = true)
 {
-    int count;
+    auto xd = _double_to_<int>("x", vxd);
+    auto yd = _double_to_<int>("y", vyd);
 
-    CALL_CPP("get_path", (count = self->x->get_path_count()));
+    self->x->draw_glyph_to_bitmap(
+        py::array_t<uint8_t, py::array::c_style>{image},
+        xd, yd, glyph->glyphInd, antialiased);
+}
 
-    npy_intp vertices_dims[2] = { count, 2 };
-    numpy::array_view<double, 2> vertices(vertices_dims);
+const char *PyFT2Font_get_glyph_name__doc__ = R"""(
+    Retrieve the ASCII name of a given glyph *index* in a face.
 
-    npy_intp codes_dims[1] = { count };
-    numpy::array_view<unsigned char, 1> codes(codes_dims);
+    Due to Matplotlib's internal design, for fonts that do not contain glyph names (per
+    ``FT_FACE_FLAG_GLYPH_NAMES``), this returns a made-up name which does *not*
+    roundtrip through `.get_name_index`.
 
-    self->x->get_path(vertices.data(), codes.data());
+    Parameters
+    ----------
+    index : int
+        The glyph number to query.
 
-    return Py_BuildValue("NN", vertices.pyobj(), codes.pyobj());
-}
+    Returns
+    -------
+    str
+        The name of the glyph, or if the font does not contain names, a name synthesized
+        by Matplotlib.
 
-const char *PyFT2Font_get_image__doc__ =
-    "get_image()\n"
-    "\n"
-    "Returns the underlying image buffer for this font object.\n";
+    See Also
+    --------
+    .get_name_index
+)""";
 
-static PyObject *PyFT2Font_get_image(PyFT2Font *self, PyObject *args, PyObject *kwds)
+static py::str
+PyFT2Font_get_glyph_name(PyFT2Font *self, unsigned int glyph_number)
 {
-    FT2Image &im = self->x->get_image();
-    npy_intp dims[] = {(npy_intp)im.get_height(), (npy_intp)im.get_width() };
-    return PyArray_SimpleNewFromData(2, dims, NPY_UBYTE, im.get_buffer());
+    std::string buffer;
+    bool fallback = true;
+
+    buffer.resize(128);
+    self->x->get_glyph_name(glyph_number, buffer, fallback);
+    return buffer;
 }
 
-static PyObject *PyFT2Font_postscript_name(PyFT2Font *self, void *closure)
-{
-    const char *ps_name = FT_Get_Postscript_Name(self->x->get_face());
-    if (ps_name == NULL) {
-        ps_name = "UNAVAILABLE";
-    }
+const char *PyFT2Font_get_charmap__doc__ = R"""(
+    Return a mapping of character codes to glyph indices in the font.
 
-    return PyUnicode_FromString(ps_name);
-}
+    The charmap is Unicode by default, but may be changed by `.set_charmap` or
+    `.select_charmap`.
 
-static PyObject *PyFT2Font_num_faces(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->num_faces);
-}
+    Returns
+    -------
+    dict[int, int]
+        A dictionary of the selected charmap mapping character codes to their
+        corresponding glyph indices.
+)""";
 
-static PyObject *PyFT2Font_family_name(PyFT2Font *self, void *closure)
+static py::dict
+PyFT2Font_get_charmap(PyFT2Font *self)
 {
-    const char *name = self->x->get_face()->family_name;
-    if (name == NULL) {
-        name = "UNAVAILABLE";
+    py::dict charmap;
+    FT_UInt index;
+    FT_ULong code = FT_Get_First_Char(self->x->get_face(), &index);
+    while (index != 0) {
+        charmap[py::cast(code)] = py::cast(index);
+        code = FT_Get_Next_Char(self->x->get_face(), code, &index);
     }
-    return PyUnicode_FromString(name);
+    return charmap;
 }
 
-static PyObject *PyFT2Font_style_name(PyFT2Font *self, void *closure)
-{
-    const char *name = self->x->get_face()->style_name;
-    if (name == NULL) {
-        name = "UNAVAILABLE";
-    }
-    return PyUnicode_FromString(name);
-}
+const char *PyFT2Font_get_char_index__doc__ = R"""(
+    Return the glyph index corresponding to a character code point.
 
-static PyObject *PyFT2Font_face_flags(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->face_flags);
-}
+    Parameters
+    ----------
+    codepoint : int
+        A character code point in the current charmap (which defaults to Unicode.)
 
-static PyObject *PyFT2Font_style_flags(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->style_flags);
-}
+    Returns
+    -------
+    int
+        The corresponding glyph index.
 
-static PyObject *PyFT2Font_num_glyphs(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->num_glyphs);
-}
+    See Also
+    --------
+    .set_charmap
+    .select_charmap
+    .get_glyph_name
+    .get_name_index
+)""";
 
-static PyObject *PyFT2Font_num_fixed_sizes(PyFT2Font *self, void *closure)
+static FT_UInt
+PyFT2Font_get_char_index(PyFT2Font *self, FT_ULong ccode)
 {
-    return PyLong_FromLong(self->x->get_face()->num_fixed_sizes);
-}
+    bool fallback = true;
 
-static PyObject *PyFT2Font_num_charmaps(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->num_charmaps);
+    return self->x->get_char_index(ccode, fallback);
 }
 
-static PyObject *PyFT2Font_scalable(PyFT2Font *self, void *closure)
+const char *PyFT2Font_get_sfnt__doc__ = R"""(
+    Load the entire SFNT names table.
+
+    Returns
+    -------
+    dict[tuple[int, int, int, int], bytes]
+        The SFNT names table; the dictionary keys are tuples of:
+
+            (platform-ID, ISO-encoding-scheme, language-code, description)
+
+        and the values are the direct information from the font table.
+)""";
+
+static py::dict
+PyFT2Font_get_sfnt(PyFT2Font *self)
 {
-    if (FT_IS_SCALABLE(self->x->get_face())) {
-        Py_RETURN_TRUE;
+    if (!(self->x->get_face()->face_flags & FT_FACE_FLAG_SFNT)) {
+        throw py::value_error("No SFNT name table");
     }
-    Py_RETURN_FALSE;
-}
 
-static PyObject *PyFT2Font_units_per_EM(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->units_per_EM);
-}
+    size_t count = FT_Get_Sfnt_Name_Count(self->x->get_face());
 
-static PyObject *PyFT2Font_get_bbox(PyFT2Font *self, void *closure)
-{
-    FT_BBox *bbox = &(self->x->get_face()->bbox);
+    py::dict names;
 
-    return Py_BuildValue("iiii", bbox->xMin, bbox->yMin, bbox->xMax, bbox->yMax);
-}
+    for (FT_UInt j = 0; j < count; ++j) {
+        FT_SfntName sfnt;
+        FT_Error error = FT_Get_Sfnt_Name(self->x->get_face(), j, &sfnt);
 
-static PyObject *PyFT2Font_ascender(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->ascender);
-}
+        if (error) {
+            throw py::value_error("Could not get SFNT name");
+        }
 
-static PyObject *PyFT2Font_descender(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->descender);
-}
+        auto key = py::make_tuple(
+            sfnt.platform_id, sfnt.encoding_id, sfnt.language_id, sfnt.name_id);
+        auto val = py::bytes(reinterpret_cast<const char *>(sfnt.string),
+                             sfnt.string_len);
+        names[key] = val;
+    }
 
-static PyObject *PyFT2Font_height(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->height);
+    return names;
 }
 
-static PyObject *PyFT2Font_max_advance_width(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->max_advance_width);
-}
+const char *PyFT2Font_get_name_index__doc__ = R"""(
+    Return the glyph index of a given glyph *name*.
 
-static PyObject *PyFT2Font_max_advance_height(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->max_advance_height);
-}
+    Parameters
+    ----------
+    name : str
+        The name of the glyph to query.
 
-static PyObject *PyFT2Font_underline_position(PyFT2Font *self, void *closure)
-{
-    return PyLong_FromLong(self->x->get_face()->underline_position);
-}
+    Returns
+    -------
+    int
+        The corresponding glyph index; 0 means 'undefined character code'.
 
-static PyObject *PyFT2Font_underline_thickness(PyFT2Font *self, void *closure)
+    See Also
+    --------
+    .get_char_index
+    .get_glyph_name
+)""";
+
+static long
+PyFT2Font_get_name_index(PyFT2Font *self, char *glyphname)
 {
-    return PyLong_FromLong(self->x->get_face()->underline_thickness);
+    return self->x->get_name_index(glyphname);
 }
 
-static PyObject *PyFT2Font_fname(PyFT2Font *self, void *closure)
-{
-    if (self->fname) {
-        Py_INCREF(self->fname);
-        return self->fname;
-    }
+const char *PyFT2Font_get_ps_font_info__doc__ = R"""(
+    Return the information in the PS Font Info structure.
 
-    Py_RETURN_NONE;
-}
+    For more information, see the `FreeType documentation on this structure
+    <https://freetype.org/freetype2/docs/reference/ft2-type1_tables.html#ps_fontinforec>`_.
 
-static int PyFT2Font_get_buffer(PyFT2Font *self, Py_buffer *buf, int flags)
-{
-    FT2Image &im = self->x->get_image();
-
-    Py_INCREF(self);
-    buf->obj = (PyObject *)self;
-    buf->buf = im.get_buffer();
-    buf->len = im.get_width() * im.get_height();
-    buf->readonly = 0;
-    buf->format = (char *)"B";
-    buf->ndim = 2;
-    self->shape[0] = im.get_height();
-    self->shape[1] = im.get_width();
-    buf->shape = self->shape;
-    self->strides[0] = im.get_width();
-    self->strides[1] = 1;
-    buf->strides = self->strides;
-    buf->suboffsets = NULL;
-    buf->itemsize = 1;
-    buf->internal = NULL;
-
-    return 1;
-}
+    Returns
+    -------
+    version : str
+    notice : str
+    full_name : str
+    family_name : str
+    weight : str
+    italic_angle : int
+    is_fixed_pitch : bool
+    underline_position : int
+    underline_thickness : int
+)""";
 
-static PyTypeObject *PyFT2Font_init_type(PyObject *m, PyTypeObject *type)
+static py::tuple
+PyFT2Font_get_ps_font_info(PyFT2Font *self)
 {
-    static PyGetSetDef getset[] = {
-        {(char *)"postscript_name", (getter)PyFT2Font_postscript_name, NULL, NULL, NULL},
-        {(char *)"num_faces", (getter)PyFT2Font_num_faces, NULL, NULL, NULL},
-        {(char *)"family_name", (getter)PyFT2Font_family_name, NULL, NULL, NULL},
-        {(char *)"style_name", (getter)PyFT2Font_style_name, NULL, NULL, NULL},
-        {(char *)"face_flags", (getter)PyFT2Font_face_flags, NULL, NULL, NULL},
-        {(char *)"style_flags", (getter)PyFT2Font_style_flags, NULL, NULL, NULL},
-        {(char *)"num_glyphs", (getter)PyFT2Font_num_glyphs, NULL, NULL, NULL},
-        {(char *)"num_fixed_sizes", (getter)PyFT2Font_num_fixed_sizes, NULL, NULL, NULL},
-        {(char *)"num_charmaps", (getter)PyFT2Font_num_charmaps, NULL, NULL, NULL},
-        {(char *)"scalable", (getter)PyFT2Font_scalable, NULL, NULL, NULL},
-        {(char *)"units_per_EM", (getter)PyFT2Font_units_per_EM, NULL, NULL, NULL},
-        {(char *)"bbox", (getter)PyFT2Font_get_bbox, NULL, NULL, NULL},
-        {(char *)"ascender", (getter)PyFT2Font_ascender, NULL, NULL, NULL},
-        {(char *)"descender", (getter)PyFT2Font_descender, NULL, NULL, NULL},
-        {(char *)"height", (getter)PyFT2Font_height, NULL, NULL, NULL},
-        {(char *)"max_advance_width", (getter)PyFT2Font_max_advance_width, NULL, NULL, NULL},
-        {(char *)"max_advance_height", (getter)PyFT2Font_max_advance_height, NULL, NULL, NULL},
-        {(char *)"underline_position", (getter)PyFT2Font_underline_position, NULL, NULL, NULL},
-        {(char *)"underline_thickness", (getter)PyFT2Font_underline_thickness, NULL, NULL, NULL},
-        {(char *)"fname", (getter)PyFT2Font_fname, NULL, NULL, NULL},
-        {NULL}
-    };
+    PS_FontInfoRec fontinfo;
+
+    FT_Error error = FT_Get_PS_Font_Info(self->x->get_face(), &fontinfo);
+    if (error) {
+        throw py::value_error("Could not get PS font info");
+    }
 
-    static PyMethodDef methods[] = {
-        {"clear", (PyCFunction)PyFT2Font_clear, METH_NOARGS, PyFT2Font_clear__doc__},
-        {"set_size", (PyCFunction)PyFT2Font_set_size, METH_VARARGS, PyFT2Font_set_size__doc__},
-        {"set_charmap", (PyCFunction)PyFT2Font_set_charmap, METH_VARARGS, PyFT2Font_set_charmap__doc__},
-        {"select_charmap", (PyCFunction)PyFT2Font_select_charmap, METH_VARARGS, PyFT2Font_select_charmap__doc__},
-        {"get_kerning", (PyCFunction)PyFT2Font_get_kerning, METH_VARARGS, PyFT2Font_get_kerning__doc__},
-        {"set_text", (PyCFunction)PyFT2Font_set_text, METH_VARARGS|METH_KEYWORDS, PyFT2Font_set_text__doc__},
-        {"get_num_glyphs", (PyCFunction)PyFT2Font_get_num_glyphs, METH_NOARGS, PyFT2Font_get_num_glyphs__doc__},
-        {"load_char", (PyCFunction)PyFT2Font_load_char, METH_VARARGS|METH_KEYWORDS, PyFT2Font_load_char__doc__},
-        {"load_glyph", (PyCFunction)PyFT2Font_load_glyph, METH_VARARGS|METH_KEYWORDS, PyFT2Font_load_glyph__doc__},
-        {"get_width_height", (PyCFunction)PyFT2Font_get_width_height, METH_NOARGS, PyFT2Font_get_width_height__doc__},
-        {"get_descent", (PyCFunction)PyFT2Font_get_descent, METH_NOARGS, PyFT2Font_get_descent__doc__},
-        {"draw_glyphs_to_bitmap", (PyCFunction)PyFT2Font_draw_glyphs_to_bitmap, METH_VARARGS|METH_KEYWORDS, PyFT2Font_draw_glyphs_to_bitmap__doc__},
-        {"get_xys", (PyCFunction)PyFT2Font_get_xys, METH_VARARGS|METH_KEYWORDS, PyFT2Font_get_xys__doc__},
-        {"draw_glyph_to_bitmap", (PyCFunction)PyFT2Font_draw_glyph_to_bitmap, METH_VARARGS|METH_KEYWORDS, PyFT2Font_draw_glyph_to_bitmap__doc__},
-        {"get_glyph_name", (PyCFunction)PyFT2Font_get_glyph_name, METH_VARARGS, PyFT2Font_get_glyph_name__doc__},
-        {"get_charmap", (PyCFunction)PyFT2Font_get_charmap, METH_NOARGS, PyFT2Font_get_charmap__doc__},
-        {"get_sfnt", (PyCFunction)PyFT2Font_get_sfnt, METH_NOARGS, PyFT2Font_get_sfnt__doc__},
-        {"get_name_index", (PyCFunction)PyFT2Font_get_name_index, METH_VARARGS, PyFT2Font_get_name_index__doc__},
-        {"get_ps_font_info", (PyCFunction)PyFT2Font_get_ps_font_info, METH_NOARGS, PyFT2Font_get_ps_font_info__doc__},
-        {"get_sfnt_table", (PyCFunction)PyFT2Font_get_sfnt_table, METH_VARARGS, PyFT2Font_get_sfnt_table__doc__},
-        {"get_path", (PyCFunction)PyFT2Font_get_path, METH_NOARGS, PyFT2Font_get_path__doc__},
-        {"get_image", (PyCFunction)PyFT2Font_get_image, METH_NOARGS, PyFT2Font_get_path__doc__},
-        {NULL}
+    return py::make_tuple(
+        fontinfo.version ? fontinfo.version : "",
+        fontinfo.notice ? fontinfo.notice : "",
+        fontinfo.full_name ? fontinfo.full_name : "",
+        fontinfo.family_name ? fontinfo.family_name : "",
+        fontinfo.weight ? fontinfo.weight : "",
+        fontinfo.italic_angle,
+        fontinfo.is_fixed_pitch,
+        fontinfo.underline_position,
+        fontinfo.underline_thickness);
+}
+
+const char *PyFT2Font_get_sfnt_table__doc__ = R"""(
+    Return one of the SFNT tables.
+
+    Parameters
+    ----------
+    name : {"head", "maxp", "OS/2", "hhea", "vhea", "post", "pclt"}
+        Which table to return.
+
+    Returns
+    -------
+    dict[str, Any]
+        The corresponding table; for more information, see `the FreeType documentation
+        <https://freetype.org/freetype2/docs/reference/ft2-truetype_tables.html>`_.
+)""";
+
+static std::optional<py::dict>
+PyFT2Font_get_sfnt_table(PyFT2Font *self, std::string tagname)
+{
+    FT_Sfnt_Tag tag;
+    const std::unordered_map<std::string, FT_Sfnt_Tag> names = {
+        {"head", FT_SFNT_HEAD},
+        {"maxp", FT_SFNT_MAXP},
+        {"OS/2", FT_SFNT_OS2},
+        {"hhea", FT_SFNT_HHEA},
+        {"vhea", FT_SFNT_VHEA},
+        {"post", FT_SFNT_POST},
+        {"pclt", FT_SFNT_PCLT},
     };
 
-    static PyBufferProcs buffer_procs;
-    memset(&buffer_procs, 0, sizeof(PyBufferProcs));
-    buffer_procs.bf_getbuffer = (getbufferproc)PyFT2Font_get_buffer;
-
-    memset(type, 0, sizeof(PyTypeObject));
-    type->tp_name = "matplotlib.ft2font.FT2Font";
-    type->tp_doc = PyFT2Font_init__doc__;
-    type->tp_basicsize = sizeof(PyFT2Font);
-    type->tp_dealloc = (destructor)PyFT2Font_dealloc;
-    type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;
-    type->tp_methods = methods;
-    type->tp_getset = getset;
-    type->tp_new = PyFT2Font_new;
-    type->tp_init = (initproc)PyFT2Font_init;
-    type->tp_as_buffer = &buffer_procs;
-
-    if (PyType_Ready(type) < 0) {
-        return NULL;
+    try {
+        tag = names.at(tagname);
+    } catch (const std::out_of_range&) {
+        return std::nullopt;
     }
 
-    if (PyModule_AddObject(m, "FT2Font", (PyObject *)type)) {
-        return NULL;
+    void *table = FT_Get_Sfnt_Table(self->x->get_face(), tag);
+    if (!table) {
+        return std::nullopt;
     }
 
-    return type;
+    switch (tag) {
+    case FT_SFNT_HEAD: {
+        auto t = static_cast<TT_Header *>(table);
+        return py::dict(
+            "version"_a=py::make_tuple(FIXED_MAJOR(t->Table_Version),
+                                       FIXED_MINOR(t->Table_Version)),
+            "fontRevision"_a=py::make_tuple(FIXED_MAJOR(t->Font_Revision),
+                                            FIXED_MINOR(t->Font_Revision)),
+            "checkSumAdjustment"_a=t->CheckSum_Adjust,
+            "magicNumber"_a=t->Magic_Number,
+            "flags"_a=t->Flags,
+            "unitsPerEm"_a=t->Units_Per_EM,
+            // FreeType 2.6.1 defines these two timestamps as FT_Long, but they should
+            // be unsigned (fixed in 2.10.0):
+            // https://gitlab.freedesktop.org/freetype/freetype/-/commit/3e8ec291ffcfa03c8ecba1cdbfaa55f5577f5612
+            // It's actually read from the file structure as two 32-bit values, so we
+            // need to cast down in size to prevent sign extension from producing huge
+            // 64-bit values.
+            "created"_a=py::make_tuple(static_cast<unsigned int>(t->Created[0]),
+                                       static_cast<unsigned int>(t->Created[1])),
+            "modified"_a=py::make_tuple(static_cast<unsigned int>(t->Modified[0]),
+                                        static_cast<unsigned int>(t->Modified[1])),
+            "xMin"_a=t->xMin,
+            "yMin"_a=t->yMin,
+            "xMax"_a=t->xMax,
+            "yMax"_a=t->yMax,
+            "macStyle"_a=t->Mac_Style,
+            "lowestRecPPEM"_a=t->Lowest_Rec_PPEM,
+            "fontDirectionHint"_a=t->Font_Direction,
+            "indexToLocFormat"_a=t->Index_To_Loc_Format,
+            "glyphDataFormat"_a=t->Glyph_Data_Format);
+    }
+    case FT_SFNT_MAXP: {
+        auto t = static_cast<TT_MaxProfile *>(table);
+        return py::dict(
+            "version"_a=py::make_tuple(FIXED_MAJOR(t->version),
+                                       FIXED_MINOR(t->version)),
+            "numGlyphs"_a=t->numGlyphs,
+            "maxPoints"_a=t->maxPoints,
+            "maxContours"_a=t->maxContours,
+            "maxComponentPoints"_a=t->maxCompositePoints,
+            "maxComponentContours"_a=t->maxCompositeContours,
+            "maxZones"_a=t->maxZones,
+            "maxTwilightPoints"_a=t->maxTwilightPoints,
+            "maxStorage"_a=t->maxStorage,
+            "maxFunctionDefs"_a=t->maxFunctionDefs,
+            "maxInstructionDefs"_a=t->maxInstructionDefs,
+            "maxStackElements"_a=t->maxStackElements,
+            "maxSizeOfInstructions"_a=t->maxSizeOfInstructions,
+            "maxComponentElements"_a=t->maxComponentElements,
+            "maxComponentDepth"_a=t->maxComponentDepth);
+    }
+    case FT_SFNT_OS2: {
+        auto t = static_cast<TT_OS2 *>(table);
+        return py::dict(
+            "version"_a=t->version,
+            "xAvgCharWidth"_a=t->xAvgCharWidth,
+            "usWeightClass"_a=t->usWeightClass,
+            "usWidthClass"_a=t->usWidthClass,
+            "fsType"_a=t->fsType,
+            "ySubscriptXSize"_a=t->ySubscriptXSize,
+            "ySubscriptYSize"_a=t->ySubscriptYSize,
+            "ySubscriptXOffset"_a=t->ySubscriptXOffset,
+            "ySubscriptYOffset"_a=t->ySubscriptYOffset,
+            "ySuperscriptXSize"_a=t->ySuperscriptXSize,
+            "ySuperscriptYSize"_a=t->ySuperscriptYSize,
+            "ySuperscriptXOffset"_a=t->ySuperscriptXOffset,
+            "ySuperscriptYOffset"_a=t->ySuperscriptYOffset,
+            "yStrikeoutSize"_a=t->yStrikeoutSize,
+            "yStrikeoutPosition"_a=t->yStrikeoutPosition,
+            "sFamilyClass"_a=t->sFamilyClass,
+            "panose"_a=py::bytes(reinterpret_cast<const char *>(t->panose), 10),
+            "ulCharRange"_a=py::make_tuple(t->ulUnicodeRange1, t->ulUnicodeRange2,
+                                           t->ulUnicodeRange3, t->ulUnicodeRange4),
+            "achVendID"_a=py::bytes(reinterpret_cast<const char *>(t->achVendID), 4),
+            "fsSelection"_a=t->fsSelection,
+            "fsFirstCharIndex"_a=t->usFirstCharIndex,
+            "fsLastCharIndex"_a=t->usLastCharIndex);
+    }
+    case FT_SFNT_HHEA: {
+        auto t = static_cast<TT_HoriHeader *>(table);
+        return py::dict(
+            "version"_a=py::make_tuple(FIXED_MAJOR(t->Version),
+                                       FIXED_MINOR(t->Version)),
+            "ascent"_a=t->Ascender,
+            "descent"_a=t->Descender,
+            "lineGap"_a=t->Line_Gap,
+            "advanceWidthMax"_a=t->advance_Width_Max,
+            "minLeftBearing"_a=t->min_Left_Side_Bearing,
+            "minRightBearing"_a=t->min_Right_Side_Bearing,
+            "xMaxExtent"_a=t->xMax_Extent,
+            "caretSlopeRise"_a=t->caret_Slope_Rise,
+            "caretSlopeRun"_a=t->caret_Slope_Run,
+            "caretOffset"_a=t->caret_Offset,
+            "metricDataFormat"_a=t->metric_Data_Format,
+            "numOfLongHorMetrics"_a=t->number_Of_HMetrics);
+    }
+    case FT_SFNT_VHEA: {
+        auto t = static_cast<TT_VertHeader *>(table);
+        return py::dict(
+            "version"_a=py::make_tuple(FIXED_MAJOR(t->Version),
+                                       FIXED_MINOR(t->Version)),
+            "vertTypoAscender"_a=t->Ascender,
+            "vertTypoDescender"_a=t->Descender,
+            "vertTypoLineGap"_a=t->Line_Gap,
+            "advanceHeightMax"_a=t->advance_Height_Max,
+            "minTopSideBearing"_a=t->min_Top_Side_Bearing,
+            "minBottomSizeBearing"_a=t->min_Bottom_Side_Bearing,
+            "yMaxExtent"_a=t->yMax_Extent,
+            "caretSlopeRise"_a=t->caret_Slope_Rise,
+            "caretSlopeRun"_a=t->caret_Slope_Run,
+            "caretOffset"_a=t->caret_Offset,
+            "metricDataFormat"_a=t->metric_Data_Format,
+            "numOfLongVerMetrics"_a=t->number_Of_VMetrics);
+    }
+    case FT_SFNT_POST: {
+        auto t = static_cast<TT_Postscript *>(table);
+        return py::dict(
+            "format"_a=py::make_tuple(FIXED_MAJOR(t->FormatType),
+                                      FIXED_MINOR(t->FormatType)),
+            "italicAngle"_a=py::make_tuple(FIXED_MAJOR(t->italicAngle),
+                                           FIXED_MINOR(t->italicAngle)),
+            "underlinePosition"_a=t->underlinePosition,
+            "underlineThickness"_a=t->underlineThickness,
+            "isFixedPitch"_a=t->isFixedPitch,
+            "minMemType42"_a=t->minMemType42,
+            "maxMemType42"_a=t->maxMemType42,
+            "minMemType1"_a=t->minMemType1,
+            "maxMemType1"_a=t->maxMemType1);
+    }
+    case FT_SFNT_PCLT: {
+        auto t = static_cast<TT_PCLT *>(table);
+        return py::dict(
+            "version"_a=py::make_tuple(FIXED_MAJOR(t->Version),
+                                       FIXED_MINOR(t->Version)),
+            "fontNumber"_a=t->FontNumber,
+            "pitch"_a=t->Pitch,
+            "xHeight"_a=t->xHeight,
+            "style"_a=t->Style,
+            "typeFamily"_a=t->TypeFamily,
+            "capHeight"_a=t->CapHeight,
+            "symbolSet"_a=t->SymbolSet,
+            "typeFace"_a=py::bytes(reinterpret_cast<const char *>(t->TypeFace), 16),
+            "characterComplement"_a=py::bytes(
+                reinterpret_cast<const char *>(t->CharacterComplement), 8),
+            "strokeWeight"_a=t->StrokeWeight,
+            "widthType"_a=t->WidthType,
+            "serifStyle"_a=t->SerifStyle);
+    }
+    default:
+        return std::nullopt;
+    }
 }
 
-extern "C" {
-
-struct module_state
-{
-    int _dummy;
-};
-
-#if PY3K
-static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT,       "ft2font", NULL,
-                                        sizeof(struct module_state), NULL,      NULL,
-                                        NULL,                        NULL,      NULL };
-
-#define INITERROR return NULL
+const char *PyFT2Font_get_path__doc__ = R"""(
+    Get the path data from the currently loaded glyph.
 
-PyMODINIT_FUNC PyInit_ft2font(void)
+    Returns
+    -------
+    vertices : np.ndarray[double]
+        The (N, 2) array of vertices describing the current glyph.
+    codes : np.ndarray[np.uint8]
+        The (N, ) array of codes corresponding to the vertices.
 
-#else
-#define INITERROR return
-
-PyMODINIT_FUNC initft2font(void)
-#endif
+    See Also
+    --------
+    .get_image
+    .load_char
+    .load_glyph
+    .set_text
+)""";
 
+static py::tuple
+PyFT2Font_get_path(PyFT2Font *self)
 {
-    PyObject *m;
+    std::vector<double> vertices;
+    std::vector<unsigned char> codes;
 
-#if PY3K
-    m = PyModule_Create(&moduledef);
-#else
-    m = Py_InitModule3("ft2font", NULL, NULL);
-#endif
+    self->x->get_path(vertices, codes);
 
-    if (m == NULL) {
-        INITERROR;
+    py::ssize_t length = codes.size();
+    py::ssize_t vertices_dims[2] = { length, 2 };
+    py::array_t<double> vertices_arr(vertices_dims);
+    if (length > 0) {
+        memcpy(vertices_arr.mutable_data(), vertices.data(), vertices_arr.nbytes());
     }
-
-    if (!PyFT2Image_init_type(m, &PyFT2ImageType)) {
-        INITERROR;
+    py::ssize_t codes_dims[1] = { length };
+    py::array_t<unsigned char> codes_arr(codes_dims);
+    if (length > 0) {
+        memcpy(codes_arr.mutable_data(), codes.data(), codes_arr.nbytes());
     }
 
-    if (!PyGlyph_init_type(m, &PyGlyphType)) {
-        INITERROR;
-    }
+    return py::make_tuple(vertices_arr, codes_arr);
+}
 
-    if (!PyFT2Font_init_type(m, &PyFT2FontType)) {
-        INITERROR;
-    }
+const char *PyFT2Font_get_image__doc__ = R"""(
+    Return the underlying image buffer for this font object.
 
-    PyObject *d = PyModule_GetDict(m);
-
-    if (add_dict_int(d, "SCALABLE", FT_FACE_FLAG_SCALABLE) ||
-        add_dict_int(d, "FIXED_SIZES", FT_FACE_FLAG_FIXED_SIZES) ||
-        add_dict_int(d, "FIXED_WIDTH", FT_FACE_FLAG_FIXED_WIDTH) ||
-        add_dict_int(d, "SFNT", FT_FACE_FLAG_SFNT) ||
-        add_dict_int(d, "HORIZONTAL", FT_FACE_FLAG_HORIZONTAL) ||
-        add_dict_int(d, "VERTICAL", FT_FACE_FLAG_VERTICAL) ||
-        add_dict_int(d, "KERNING", FT_FACE_FLAG_KERNING) ||
-        add_dict_int(d, "FAST_GLYPHS", FT_FACE_FLAG_FAST_GLYPHS) ||
-        add_dict_int(d, "MULTIPLE_MASTERS", FT_FACE_FLAG_MULTIPLE_MASTERS) ||
-        add_dict_int(d, "GLYPH_NAMES", FT_FACE_FLAG_GLYPH_NAMES) ||
-        add_dict_int(d, "EXTERNAL_STREAM", FT_FACE_FLAG_EXTERNAL_STREAM) ||
-        add_dict_int(d, "ITALIC", FT_STYLE_FLAG_ITALIC) ||
-        add_dict_int(d, "BOLD", FT_STYLE_FLAG_BOLD) ||
-        add_dict_int(d, "KERNING_DEFAULT", FT_KERNING_DEFAULT) ||
-        add_dict_int(d, "KERNING_UNFITTED", FT_KERNING_UNFITTED) ||
-        add_dict_int(d, "KERNING_UNSCALED", FT_KERNING_UNSCALED) ||
-        add_dict_int(d, "LOAD_DEFAULT", FT_LOAD_DEFAULT) ||
-        add_dict_int(d, "LOAD_NO_SCALE", FT_LOAD_NO_SCALE) ||
-        add_dict_int(d, "LOAD_NO_HINTING", FT_LOAD_NO_HINTING) ||
-        add_dict_int(d, "LOAD_RENDER", FT_LOAD_RENDER) ||
-        add_dict_int(d, "LOAD_NO_BITMAP", FT_LOAD_NO_BITMAP) ||
-        add_dict_int(d, "LOAD_VERTICAL_LAYOUT", FT_LOAD_VERTICAL_LAYOUT) ||
-        add_dict_int(d, "LOAD_FORCE_AUTOHINT", FT_LOAD_FORCE_AUTOHINT) ||
-        add_dict_int(d, "LOAD_CROP_BITMAP", FT_LOAD_CROP_BITMAP) ||
-        add_dict_int(d, "LOAD_PEDANTIC", FT_LOAD_PEDANTIC) ||
-        add_dict_int(d, "LOAD_IGNORE_GLOBAL_ADVANCE_WIDTH", FT_LOAD_IGNORE_GLOBAL_ADVANCE_WIDTH) ||
-        add_dict_int(d, "LOAD_NO_RECURSE", FT_LOAD_NO_RECURSE) ||
-        add_dict_int(d, "LOAD_IGNORE_TRANSFORM", FT_LOAD_IGNORE_TRANSFORM) ||
-        add_dict_int(d, "LOAD_MONOCHROME", FT_LOAD_MONOCHROME) ||
-        add_dict_int(d, "LOAD_LINEAR_DESIGN", FT_LOAD_LINEAR_DESIGN) ||
-        add_dict_int(d, "LOAD_NO_AUTOHINT", (unsigned long)FT_LOAD_NO_AUTOHINT) ||
-        add_dict_int(d, "LOAD_TARGET_NORMAL", (unsigned long)FT_LOAD_TARGET_NORMAL) ||
-        add_dict_int(d, "LOAD_TARGET_LIGHT", (unsigned long)FT_LOAD_TARGET_LIGHT) ||
-        add_dict_int(d, "LOAD_TARGET_MONO", (unsigned long)FT_LOAD_TARGET_MONO) ||
-        add_dict_int(d, "LOAD_TARGET_LCD", (unsigned long)FT_LOAD_TARGET_LCD) ||
-        add_dict_int(d, "LOAD_TARGET_LCD_V", (unsigned long)FT_LOAD_TARGET_LCD_V)) {
-        INITERROR;
-    }
+    Returns
+    -------
+    np.ndarray[int]
 
-    // initialize library
-    int error = FT_Init_FreeType(&_ft2Library);
+    See Also
+    --------
+    .get_path
+)""";
 
-    if (error) {
-        PyErr_SetString(PyExc_RuntimeError, "Could not find initialize the freetype2 library");
-        INITERROR;
-    }
+static py::array
+PyFT2Font_get_image(PyFT2Font *self)
+{
+    return self->x->get_image();
+}
 
-    {
-        FT_Int major, minor, patch;
-        char version_string[64];
+const char *PyFT2Font__get_type1_encoding_vector__doc__ = R"""(
+    Return a list mapping CharString indices of a Type 1 font to FreeType glyph indices.
+
+    Returns
+    -------
+    list[int]
+)""";
 
-        FT_Library_Version(_ft2Library, &major, &minor, &patch);
-        sprintf(version_string, "%d.%d.%d", major, minor, patch);
-        if (PyModule_AddStringConstant(m, "__freetype_version__", version_string)) {
-            INITERROR;
+static std::array<FT_UInt, 256>
+PyFT2Font__get_type1_encoding_vector(PyFT2Font *self)
+{
+    auto face = self->x->get_face();
+    auto indices = std::array<FT_UInt, 256>{};
+    for (auto i = 0u; i < indices.size(); ++i) {
+        auto len = FT_Get_PS_Font_Value(face, PS_DICT_ENCODING_ENTRY, i, nullptr, 0);
+        if (len == -1) {
+            // Explicitly ignore missing entries (mapped to glyph 0 = .notdef).
+            continue;
         }
+        auto buf = std::make_unique<char[]>(len);
+        FT_Get_PS_Font_Value(face, PS_DICT_ENCODING_ENTRY, i, buf.get(), len);
+        indices[i] = FT_Get_Name_Index(face, buf.get());
     }
-
-    import_array();
-
-#if PY3K
-    return m;
-#endif
+    return indices;
+}
+
+static py::object
+ft2font__getattr__(std::string name) {
+    auto api = py::module_::import("matplotlib._api");
+    auto warn = api.attr("warn_deprecated");
+
+#define DEPRECATE_ATTR_FROM_ENUM(attr_, alternative_, real_value_) \
+    do { \
+        if (name == #attr_) { \
+            warn("since"_a="3.10", "name"_a=#attr_, "obj_type"_a="attribute", \
+                 "alternative"_a=#alternative_); \
+            return py::cast(static_cast<int>(real_value_)); \
+        } \
+    } while(0)
+    DEPRECATE_ATTR_FROM_ENUM(KERNING_DEFAULT, Kerning.DEFAULT, FT_KERNING_DEFAULT);
+    DEPRECATE_ATTR_FROM_ENUM(KERNING_UNFITTED, Kerning.UNFITTED, FT_KERNING_UNFITTED);
+    DEPRECATE_ATTR_FROM_ENUM(KERNING_UNSCALED, Kerning.UNSCALED, FT_KERNING_UNSCALED);
+
+#undef DEPRECATE_ATTR_FROM_ENUM
+
+#define DEPRECATE_ATTR_FROM_FLAG(attr_, enum_, value_) \
+    do { \
+        if (name == #attr_) { \
+            warn("since"_a="3.10", "name"_a=#attr_, "obj_type"_a="attribute", \
+                 "alternative"_a=#enum_ "." #value_); \
+            return py::cast(enum_::value_); \
+        } \
+    } while(0)
+
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_DEFAULT, LoadFlags, DEFAULT);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_NO_SCALE, LoadFlags, NO_SCALE);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_NO_HINTING, LoadFlags, NO_HINTING);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_RENDER, LoadFlags, RENDER);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_NO_BITMAP, LoadFlags, NO_BITMAP);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_VERTICAL_LAYOUT, LoadFlags, VERTICAL_LAYOUT);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_FORCE_AUTOHINT, LoadFlags, FORCE_AUTOHINT);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_CROP_BITMAP, LoadFlags, CROP_BITMAP);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_PEDANTIC, LoadFlags, PEDANTIC);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_IGNORE_GLOBAL_ADVANCE_WIDTH, LoadFlags,
+                             IGNORE_GLOBAL_ADVANCE_WIDTH);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_NO_RECURSE, LoadFlags, NO_RECURSE);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_IGNORE_TRANSFORM, LoadFlags, IGNORE_TRANSFORM);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_MONOCHROME, LoadFlags, MONOCHROME);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_LINEAR_DESIGN, LoadFlags, LINEAR_DESIGN);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_NO_AUTOHINT, LoadFlags, NO_AUTOHINT);
+
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_TARGET_NORMAL, LoadFlags, TARGET_NORMAL);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_TARGET_LIGHT, LoadFlags, TARGET_LIGHT);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_TARGET_MONO, LoadFlags, TARGET_MONO);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_TARGET_LCD, LoadFlags, TARGET_LCD);
+    DEPRECATE_ATTR_FROM_FLAG(LOAD_TARGET_LCD_V, LoadFlags, TARGET_LCD_V);
+
+    DEPRECATE_ATTR_FROM_FLAG(SCALABLE, FaceFlags, SCALABLE);
+    DEPRECATE_ATTR_FROM_FLAG(FIXED_SIZES, FaceFlags, FIXED_SIZES);
+    DEPRECATE_ATTR_FROM_FLAG(FIXED_WIDTH, FaceFlags, FIXED_WIDTH);
+    DEPRECATE_ATTR_FROM_FLAG(SFNT, FaceFlags, SFNT);
+    DEPRECATE_ATTR_FROM_FLAG(HORIZONTAL, FaceFlags, HORIZONTAL);
+    DEPRECATE_ATTR_FROM_FLAG(VERTICAL, FaceFlags, VERTICAL);
+    DEPRECATE_ATTR_FROM_FLAG(KERNING, FaceFlags, KERNING);
+    DEPRECATE_ATTR_FROM_FLAG(FAST_GLYPHS, FaceFlags, FAST_GLYPHS);
+    DEPRECATE_ATTR_FROM_FLAG(MULTIPLE_MASTERS, FaceFlags, MULTIPLE_MASTERS);
+    DEPRECATE_ATTR_FROM_FLAG(GLYPH_NAMES, FaceFlags, GLYPH_NAMES);
+    DEPRECATE_ATTR_FROM_FLAG(EXTERNAL_STREAM, FaceFlags, EXTERNAL_STREAM);
+
+    DEPRECATE_ATTR_FROM_FLAG(ITALIC, StyleFlags, ITALIC);
+    DEPRECATE_ATTR_FROM_FLAG(BOLD, StyleFlags, BOLD);
+#undef DEPRECATE_ATTR_FROM_FLAG
+
+    throw py::attribute_error(
+        "module 'matplotlib.ft2font' has no attribute {!r}"_s.format(name));
+}
+
+PYBIND11_MODULE(ft2font, m, py::mod_gil_not_used())
+{
+    if (FT_Init_FreeType(&_ft2Library)) {  // initialize library
+        throw std::runtime_error("Could not initialize the freetype2 library");
+    }
+    FT_Int major, minor, patch;
+    char version_string[64];
+    FT_Library_Version(_ft2Library, &major, &minor, &patch);
+    snprintf(version_string, sizeof(version_string), "%d.%d.%d", major, minor, patch);
+
+    p11x::bind_enums(m);
+    p11x::enums["Kerning"].attr("__doc__") = Kerning__doc__;
+    p11x::enums["LoadFlags"].attr("__doc__") = LoadFlags__doc__;
+    p11x::enums["FaceFlags"].attr("__doc__") = FaceFlags__doc__;
+    p11x::enums["StyleFlags"].attr("__doc__") = StyleFlags__doc__;
+
+    py::class_<FT2Image>(m, "FT2Image", py::is_final(), py::buffer_protocol(),
+                         PyFT2Image__doc__)
+        .def(py::init(
+                [](double_or_<long> width, double_or_<long> height) {
+                    auto warn =
+                        py::module_::import("matplotlib._api").attr("warn_deprecated");
+                    warn("since"_a="3.11", "name"_a="FT2Image", "obj_type"_a="class",
+                         "alternative"_a="a 2D uint8 ndarray");
+                    return new FT2Image(
+                        _double_to_<long>("width", width),
+                        _double_to_<long>("height", height)
+                    );
+                }),
+             "width"_a, "height"_a, PyFT2Image_init__doc__)
+        .def("draw_rect_filled", &PyFT2Image_draw_rect_filled,
+             "x0"_a, "y0"_a, "x1"_a, "y1"_a,
+             PyFT2Image_draw_rect_filled__doc__)
+        .def_buffer([](FT2Image &self) -> py::buffer_info {
+            std::vector<py::size_t> shape { self.get_height(), self.get_width() };
+            std::vector<py::size_t> strides { self.get_width(), 1 };
+            return py::buffer_info(self.get_buffer(), shape, strides);
+        });
+
+    py::class_<PyGlyph>(m, "Glyph", py::is_final(), PyGlyph__doc__)
+        .def(py::init<>([]() -> PyGlyph {
+            // Glyph is not useful from Python, so mark it as not constructible.
+            throw std::runtime_error("Glyph is not constructible");
+        }))
+        .def_readonly("width", &PyGlyph::width, "The glyph's width.")
+        .def_readonly("height", &PyGlyph::height, "The glyph's height.")
+        .def_readonly("horiBearingX", &PyGlyph::horiBearingX,
+                      "Left side bearing for horizontal layout.")
+        .def_readonly("horiBearingY", &PyGlyph::horiBearingY,
+                      "Top side bearing for horizontal layout.")
+        .def_readonly("horiAdvance", &PyGlyph::horiAdvance,
+                      "Advance width for horizontal layout.")
+        .def_readonly("linearHoriAdvance", &PyGlyph::linearHoriAdvance,
+                      "The advance width of the unhinted glyph.")
+        .def_readonly("vertBearingX", &PyGlyph::vertBearingX,
+                      "Left side bearing for vertical layout.")
+        .def_readonly("vertBearingY", &PyGlyph::vertBearingY,
+                      "Top side bearing for vertical layout.")
+        .def_readonly("vertAdvance", &PyGlyph::vertAdvance,
+                      "Advance height for vertical layout.")
+        .def_property_readonly("bbox", &PyGlyph_get_bbox,
+                               "The control box of the glyph.");
+
+        auto cls = py::class_<PyFT2Font>(m, "FT2Font", py::is_final(), py::buffer_protocol(),
+                                         PyFT2Font__doc__)
+        .def(py::init(&PyFT2Font_init),
+             "filename"_a, "hinting_factor"_a=8, py::kw_only(),
+             "_fallback_list"_a=py::none(), "_kerning_factor"_a=0,
+             "_warn_if_used"_a=false,
+             PyFT2Font_init__doc__)
+        .def("clear", &PyFT2Font_clear, PyFT2Font_clear__doc__)
+        .def("set_size", &PyFT2Font_set_size, "ptsize"_a, "dpi"_a,
+             PyFT2Font_set_size__doc__)
+        .def("set_charmap", &PyFT2Font_set_charmap, "i"_a,
+             PyFT2Font_set_charmap__doc__)
+        .def("select_charmap", &PyFT2Font_select_charmap, "i"_a,
+             PyFT2Font_select_charmap__doc__)
+        .def("get_kerning", &PyFT2Font_get_kerning, "left"_a, "right"_a, "mode"_a,
+             PyFT2Font_get_kerning__doc__)
+        .def("set_text", &PyFT2Font_set_text,
+             "string"_a, "angle"_a=0.0, "flags"_a=LoadFlags::FORCE_AUTOHINT,
+             PyFT2Font_set_text__doc__)
+        .def("_get_fontmap", &PyFT2Font_get_fontmap, "string"_a,
+             PyFT2Font_get_fontmap__doc__)
+        .def("get_num_glyphs", &PyFT2Font_get_num_glyphs, PyFT2Font_get_num_glyphs__doc__)
+        .def("load_char", &PyFT2Font_load_char,
+             "charcode"_a, "flags"_a=LoadFlags::FORCE_AUTOHINT,
+             PyFT2Font_load_char__doc__)
+        .def("load_glyph", &PyFT2Font_load_glyph,
+             "glyph_index"_a, "flags"_a=LoadFlags::FORCE_AUTOHINT,
+             PyFT2Font_load_glyph__doc__)
+        .def("get_width_height", &PyFT2Font_get_width_height,
+             PyFT2Font_get_width_height__doc__)
+        .def("get_bitmap_offset", &PyFT2Font_get_bitmap_offset,
+             PyFT2Font_get_bitmap_offset__doc__)
+        .def("get_descent", &PyFT2Font_get_descent, PyFT2Font_get_descent__doc__)
+        .def("draw_glyphs_to_bitmap", &PyFT2Font_draw_glyphs_to_bitmap,
+             py::kw_only(), "antialiased"_a=true,
+             PyFT2Font_draw_glyphs_to_bitmap__doc__);
+        // The generated docstring uses an unqualified "Buffer" as type hint,
+        // which causes an error in sphinx.  This is fixed as of pybind11
+        // master (since #5566) which now uses "collections.abc.Buffer";
+        // restore the signature once that version is released.
+        {
+            py::options options{};
+            options.disable_function_signatures();
+            cls
+            .def("draw_glyph_to_bitmap", &PyFT2Font_draw_glyph_to_bitmap,
+                "image"_a, "x"_a, "y"_a, "glyph"_a, py::kw_only(), "antialiased"_a=true,
+                PyFT2Font_draw_glyph_to_bitmap__doc__);
+        }
+        cls
+        .def("get_glyph_name", &PyFT2Font_get_glyph_name, "index"_a,
+             PyFT2Font_get_glyph_name__doc__)
+        .def("get_charmap", &PyFT2Font_get_charmap, PyFT2Font_get_charmap__doc__)
+        .def("get_char_index", &PyFT2Font_get_char_index, "codepoint"_a,
+             PyFT2Font_get_char_index__doc__)
+        .def("get_sfnt", &PyFT2Font_get_sfnt, PyFT2Font_get_sfnt__doc__)
+        .def("get_name_index", &PyFT2Font_get_name_index, "name"_a,
+             PyFT2Font_get_name_index__doc__)
+        .def("get_ps_font_info", &PyFT2Font_get_ps_font_info,
+             PyFT2Font_get_ps_font_info__doc__)
+        .def("get_sfnt_table", &PyFT2Font_get_sfnt_table, "name"_a,
+             PyFT2Font_get_sfnt_table__doc__)
+        .def("get_path", &PyFT2Font_get_path, PyFT2Font_get_path__doc__)
+        .def("get_image", &PyFT2Font_get_image, PyFT2Font_get_image__doc__)
+        .def("_get_type1_encoding_vector", &PyFT2Font__get_type1_encoding_vector,
+             PyFT2Font__get_type1_encoding_vector__doc__)
+
+        .def_property_readonly(
+          "postscript_name", [](PyFT2Font *self) {
+            if (const char *name = FT_Get_Postscript_Name(self->x->get_face())) {
+              return name;
+            } else {
+              return "UNAVAILABLE";
+            }
+          }, "PostScript name of the font.")
+        .def_property_readonly(
+          "num_faces", [](PyFT2Font *self) {
+            return self->x->get_face()->num_faces;
+          }, "Number of faces in file.")
+        .def_property_readonly(
+          "family_name", [](PyFT2Font *self) {
+            if (const char *name = self->x->get_face()->family_name) {
+              return name;
+            } else {
+              return "UNAVAILABLE";
+            }
+          }, "Face family name.")
+        .def_property_readonly(
+          "style_name", [](PyFT2Font *self) {
+            if (const char *name = self->x->get_face()->style_name) {
+              return name;
+            } else {
+              return "UNAVAILABLE";
+            }
+          }, "Style name.")
+        .def_property_readonly(
+          "face_flags", [](PyFT2Font *self) {
+            return static_cast<FaceFlags>(self->x->get_face()->face_flags);
+          }, "Face flags; see `.FaceFlags`.")
+        .def_property_readonly(
+          "style_flags", [](PyFT2Font *self) {
+            return static_cast<StyleFlags>(self->x->get_face()->style_flags & 0xffff);
+          }, "Style flags; see `.StyleFlags`.")
+        .def_property_readonly(
+          "num_named_instances", [](PyFT2Font *self) {
+            return (self->x->get_face()->style_flags & 0x7fff0000) >> 16;
+          }, "Number of named instances in the face.")
+        .def_property_readonly(
+          "num_glyphs", [](PyFT2Font *self) {
+            return self->x->get_face()->num_glyphs;
+          }, "Number of glyphs in the face.")
+        .def_property_readonly(
+          "num_fixed_sizes", [](PyFT2Font *self) {
+            return self->x->get_face()->num_fixed_sizes;
+          }, "Number of bitmap in the face.")
+        .def_property_readonly(
+          "num_charmaps", [](PyFT2Font *self) {
+            return self->x->get_face()->num_charmaps;
+          }, "Number of charmaps in the face.")
+        .def_property_readonly(
+          "scalable", [](PyFT2Font *self) {
+            return bool(FT_IS_SCALABLE(self->x->get_face()));
+          }, "Whether face is scalable; attributes after this one "
+             "are only defined for scalable faces.")
+        .def_property_readonly(
+          "units_per_EM", [](PyFT2Font *self) {
+            return self->x->get_face()->units_per_EM;
+          }, "Number of font units covered by the EM.")
+        .def_property_readonly(
+          "bbox", [](PyFT2Font *self) {
+            FT_BBox bbox = self->x->get_face()->bbox;
+            return py::make_tuple(bbox.xMin, bbox.yMin, bbox.xMax, bbox.yMax);
+          }, "Face global bounding box (xmin, ymin, xmax, ymax).")
+        .def_property_readonly(
+          "ascender", [](PyFT2Font *self) {
+            return self->x->get_face()->ascender;
+          }, "Ascender in 26.6 units.")
+        .def_property_readonly(
+          "descender", [](PyFT2Font *self) {
+            return self->x->get_face()->descender;
+          }, "Descender in 26.6 units.")
+        .def_property_readonly(
+          "height", [](PyFT2Font *self) {
+            return self->x->get_face()->height;
+          }, "Height in 26.6 units; used to compute a default line spacing "
+             "(baseline-to-baseline distance).")
+        .def_property_readonly(
+          "max_advance_width", [](PyFT2Font *self) {
+            return self->x->get_face()->max_advance_width;
+          }, "Maximum horizontal cursor advance for all glyphs.")
+        .def_property_readonly(
+          "max_advance_height", [](PyFT2Font *self) {
+            return self->x->get_face()->max_advance_height;
+          }, "Maximum vertical cursor advance for all glyphs.")
+        .def_property_readonly(
+          "underline_position", [](PyFT2Font *self) {
+            return self->x->get_face()->underline_position;
+          }, "Vertical position of the underline bar.")
+        .def_property_readonly(
+          "underline_thickness", [](PyFT2Font *self) {
+            return self->x->get_face()->underline_thickness;
+          }, "Thickness of the underline bar.")
+        .def_property_readonly(
+          "fname", &PyFT2Font_fname,
+          "The original filename for this object.")
+
+        .def_buffer([](PyFT2Font &self) -> py::buffer_info {
+            return self.x->get_image().request();
+        });
+
+    m.attr("__freetype_version__") = version_string;
+    m.attr("__freetype_build_type__") = FREETYPE_BUILD_TYPE;
+    m.def("__getattr__", ft2font__getattr__);
 }
-
-} // extern "C"
diff --git a/src/meson.build b/src/meson.build
new file mode 100644
index 000000000000..d479a8b84aa2
--- /dev/null
+++ b/src/meson.build
@@ -0,0 +1,150 @@
+# For cross-compilation it is often not possible to run the Python interpreter in order
+# to retrieve the platform-specific /dev/null. It can be specified in the cross file
+# instead:
+#
+#   [properties]
+#   devnull = /dev/null
+#
+# This uses the value as is, and avoids running the interpreter.
+devnull = meson.get_external_property('devnull', 'not-given')
+if devnull == 'not-given'
+  devnull = run_command(py3, '-c', 'import os; print(os.devnull)',
+                        capture: true, check: true).stdout().strip()
+endif
+
+# Will only exist on Linux with older glibc.
+dl = dependency('dl', required: false)
+
+# With Meson >= 1.2.0, use cpp_winlibs instead of manually searching.
+if ['cygwin', 'windows'].contains(host_machine.system())
+  comctl32 = cc.find_library('comctl32')
+  ole32 = cc.find_library('ole32')
+  psapi = cc.find_library('psapi')
+  shell32 = cc.find_library('shell32')
+  user32 = cc.find_library('user32')
+else
+  comctl32 = []
+  ole32 = []
+  psapi = []
+  shell32 = []
+  user32 = []
+endif
+
+extension_data = {
+  '_backend_agg': {
+    'subdir': 'matplotlib/backends',
+    'sources': files(
+      '_backend_agg.cpp',
+      '_backend_agg_wrapper.cpp',
+    ),
+    'dependencies': [agg_dep, pybind11_dep],
+  },
+  '_c_internal_utils': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      '_c_internal_utils.cpp',
+    ),
+    'dependencies': [pybind11_dep, dl, ole32, shell32, user32],
+  },
+  'ft2font': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      'ft2font.cpp',
+      'ft2font_wrapper.cpp',
+    ),
+    'dependencies': [
+      freetype_dep, pybind11_dep, agg_dep.partial_dependency(includes: true),
+    ],
+    'cpp_args': [
+      '-DFREETYPE_BUILD_TYPE="@0@"'.format(
+        freetype_dep.type_name() == 'internal' ? 'local' : 'system',
+      ),
+    ],
+  },
+  '_image': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      '_image_wrapper.cpp',
+      'py_converters.cpp',
+    ),
+    'dependencies': [
+      pybind11_dep,
+      # Only need source code files agg_image_filters.cpp and agg_trans_affine.cpp
+      agg_dep,
+    ],
+  },
+  '_path': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      '_path_wrapper.cpp',
+    ),
+    'dependencies': [agg_dep, pybind11_dep],
+  },
+  '_qhull': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      '_qhull_wrapper.cpp',
+    ),
+    'dependencies': [pybind11_dep, qhull_dep],
+    'c_args': [f'-DMPL_DEVNULL=@devnull@'],
+    'cpp_args': [f'-DMPL_DEVNULL=@devnull@'],
+  },
+  '_tkagg': {
+    'subdir': 'matplotlib/backends',
+    'sources': files(
+      '_tkagg.cpp',
+    ),
+    'include_directories': include_directories('.'),
+    # The dl/psapi libraries are needed for finding Tcl/Tk at run time.
+    'dependencies': [
+      pybind11_dep, agg_dep.partial_dependency(includes: true), dl, comctl32, psapi,
+    ],
+  },
+  '_tri': {
+    'subdir': 'matplotlib',
+    'sources': files(
+      'tri/_tri.cpp',
+      'tri/_tri_wrapper.cpp',
+    ),
+    'dependencies': [pybind11_dep],
+  },
+}
+
+if cpp.get_id() == 'msvc'
+  # This flag fixes some bugs with the macro processing, namely
+  # https://learn.microsoft.com/en-us/cpp/preprocessor/preprocessor-experimental-overview?view=msvc-170#macro-arguments-are-unpacked
+  if cpp.has_argument('/Zc:preprocessor')
+    # This flag was added in MSVC 2019 version 16.5, which deprecated the one below.
+    new_preprocessor = '/Zc:preprocessor'
+  else
+    # Since we currently support any version of MSVC 2019 (vc142), we'll stick with the
+    # older flag, added in MSVC 2017 version 15.8.
+    new_preprocessor = '/experimental:preprocessor'
+  endif
+else
+  new_preprocessor = []
+endif
+
+foreach ext, kwargs : extension_data
+  additions = {
+    'cpp_args': [new_preprocessor] + kwargs.get('cpp_args', []),
+  }
+  py3.extension_module(
+    ext,
+    install: true,
+    kwargs: kwargs + additions)
+endforeach
+
+if get_option('macosx') and host_machine.system() == 'darwin'
+  add_languages('objc', native: false)
+  py3.extension_module(
+    '_macosx',
+    subdir: 'matplotlib/backends',
+    sources: files(
+      '_macosx.m',
+    ),
+    dependencies: dependency('appleframeworks', modules: 'Cocoa'),
+    override_options: ['werror=true'],
+    install: true,
+  )
+endif
diff --git a/src/mplutils.cpp b/src/mplutils.cpp
deleted file mode 100644
index bc09db52aa9e..000000000000
--- a/src/mplutils.cpp
+++ /dev/null
@@ -1,21 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#include "mplutils.h"
-
-int add_dict_int(PyObject *dict, const char *key, long val)
-{
-    PyObject *valobj;
-    valobj = PyLong_FromLong(val);
-    if (valobj == NULL) {
-        return 1;
-    }
-
-    if (PyDict_SetItemString(dict, (char *)key, valobj)) {
-        Py_DECREF(valobj);
-        return 1;
-    }
-
-    Py_DECREF(valobj);
-
-    return 0;
-}
diff --git a/src/mplutils.h b/src/mplutils.h
index c66b1cbf75d6..95d9a2d9eb90 100644
--- a/src/mplutils.h
+++ b/src/mplutils.h
@@ -2,78 +2,117 @@
 
 /* Small utilities that are shared by most extension modules. */
 
-#ifndef _MPLUTILS_H
-#define _MPLUTILS_H
+#ifndef MPLUTILS_H
+#define MPLUTILS_H
+#define PY_SSIZE_T_CLEAN
 
-#if defined(_MSC_VER) && _MSC_VER <= 1600
-typedef unsigned __int8   uint8_t;
-#else
-#include <stdint.h>
-#endif
+#include <Python.h>
 
 #ifdef _POSIX_C_SOURCE
 #    undef _POSIX_C_SOURCE
 #endif
+#ifndef _AIX
 #ifdef _XOPEN_SOURCE
 #    undef _XOPEN_SOURCE
 #endif
+#endif
 
-#include <Python.h>
-
-#if PY_MAJOR_VERSION >= 3
-#define PY3K 1
-#define Py_TPFLAGS_HAVE_NEWBUFFER 0
-#else
-#define PY3K 0
+// Prevent multiple conflicting definitions of swab from stdlib.h and unistd.h
+#if defined(__sun) || defined(sun)
+#if defined(_XPG4)
+#undef _XPG4
+#endif
+#if defined(_XPG3)
+#undef _XPG3
+#endif
 #endif
 
-#undef CLAMP
-#define CLAMP(x, low, high) (((x) > (high)) ? (high) : (((x) < (low)) ? (low) : (x)))
 
-#undef MAX
-#define MAX(a, b) (((a) > (b)) ? (a) : (b))
+inline int mpl_round_to_int(double v)
+{
+    return (int)(v + ((v >= 0.0) ? 0.5 : -0.5));
+}
 
 inline double mpl_round(double v)
 {
-    return (double)(int)(v + ((v >= 0.0) ? 0.5 : -0.5));
+    return (double)mpl_round_to_int(v);
 }
 
+// 'kind' codes for paths.
 enum {
     STOP = 0,
     MOVETO = 1,
     LINETO = 2,
     CURVE3 = 3,
     CURVE4 = 4,
-    ENDPOLY = 0x4f
+    CLOSEPOLY = 0x4f
 };
 
-const size_t NUM_VERTICES[] = { 1, 1, 1, 2, 3, 1 };
-
-extern "C" int add_dict_int(PyObject *dict, const char *key, long val);
-
-#if defined(_MSC_VER) && (_MSC_VER == 1400)
+#ifdef __cplusplus  // not for macosx.m
+// Check that array has shape (N, d1) or (N, d1, d2).  We cast d1, d2 to longs
+// so that we don't need to access the NPY_INTP_FMT macro here.
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
 
-/* Required by libpng and zlib */
-#pragma comment(lib, "bufferoverflowU")
+namespace py = pybind11;
+using namespace pybind11::literals;
 
-/* std::max and std::min are missing in Windows Server 2003 R2
-   Platform SDK compiler.  See matplotlib bug #3067191 */
-namespace std
+template<typename T>
+inline void check_trailing_shape(T array, char const* name, long d1)
 {
+    if (array.ndim() != 2) {
+        throw py::value_error(
+            "Expected 2-dimensional array, got %d"_s.format(array.ndim()));
+    }
+    if (array.size() == 0) {
+        // Sometimes things come through as atleast_2d, etc., but they're empty, so
+        // don't bother enforcing the trailing shape.
+        return;
+    }
+    if (array.shape(1) != d1) {
+        throw py::value_error(
+            "%s must have shape (N, %d), got (%d, %d)"_s.format(
+                name, d1, array.shape(0), array.shape(1)));
+    }
+}
 
-template <class T>
-inline T max(const T &a, const T &b)
+template<typename T>
+inline void check_trailing_shape(T array, char const* name, long d1, long d2)
 {
-    return (a > b) ? a : b;
+    if (array.ndim() != 3) {
+        throw py::value_error(
+            "Expected 3-dimensional array, got %d"_s.format(array.ndim()));
+    }
+    if (array.size() == 0) {
+        // Sometimes things come through as atleast_3d, etc., but they're empty, so
+        // don't bother enforcing the trailing shape.
+        return;
+    }
+    if (array.shape(1) != d1 || array.shape(2) != d2) {
+        throw py::value_error(
+            "%s must have shape (N, %d, %d), got (%d, %d, %d)"_s.format(
+                name, d1, d2, array.shape(0), array.shape(1), array.shape(2)));
+    }
 }
 
-template <class T>
-inline T min(const T &a, const T &b)
+/* In most cases, code should use safe_first_shape(obj) instead of obj.shape(0), since
+   safe_first_shape(obj) == 0 when any dimension is 0. */
+template <typename T, py::ssize_t ND>
+py::ssize_t
+safe_first_shape(const py::detail::unchecked_reference<T, ND> &a)
 {
-    return (a < b) ? a : b;
-}
+    bool empty = (ND == 0);
+    for (py::ssize_t i = 0; i < ND; i++) {
+        if (a.shape(i) == 0) {
+            empty = true;
+        }
+    }
+    if (empty) {
+        return 0;
+    } else {
+        return a.shape(0);
+    }
 }
-
 #endif
 
 #endif
diff --git a/src/numpy_cpp.h b/src/numpy_cpp.h
deleted file mode 100644
index fcfaee4c6717..000000000000
--- a/src/numpy_cpp.h
+++ /dev/null
@@ -1,526 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#ifndef _NUMPY_CPP_H_
-#define _NUMPY_CPP_H_
-
-/***************************************************************************
- * This file is based on original work by Mark Wiebe, available at:
- *
- *    http://github.com/mwiebe/numpy-cpp
- *
- * However, the needs of matplotlib wrappers, such as treating an
- * empty array as having the correct dimensions, have made this rather
- * matplotlib-specific, so it's no longer compatible with the
- * original.
- */
-
-#include "py_exceptions.h"
-
-#include <complex>
-
-#ifdef _POSIX_C_SOURCE
-#    undef _POSIX_C_SOURCE
-#endif
-#ifdef _XOPEN_SOURCE
-#    undef _XOPEN_SOURCE
-#endif
-
-#include <Python.h>
-#include <numpy/ndarrayobject.h>
-
-namespace numpy
-{
-
-// Type traits for the NumPy types
-template <typename T>
-struct type_num_of;
-
-/* Be careful with bool arrays as python has sizeof(npy_bool) == 1, but it is
- * not always the case that sizeof(bool) == 1.  Using the array_view_accessors
- * is always fine regardless of sizeof(bool), so do this rather than using
- * array.data() and pointer arithmetic which will not work correctly if
- * sizeof(bool) != 1. */
-template <> struct type_num_of<bool>
-{
-    enum {
-        value = NPY_BOOL
-    };
-};
-template <>
-struct type_num_of<npy_byte>
-{
-    enum {
-        value = NPY_BYTE
-    };
-};
-template <>
-struct type_num_of<npy_ubyte>
-{
-    enum {
-        value = NPY_UBYTE
-    };
-};
-template <>
-struct type_num_of<npy_short>
-{
-    enum {
-        value = NPY_SHORT
-    };
-};
-template <>
-struct type_num_of<npy_ushort>
-{
-    enum {
-        value = NPY_USHORT
-    };
-};
-template <>
-struct type_num_of<npy_int>
-{
-    enum {
-        value = NPY_INT
-    };
-};
-template <>
-struct type_num_of<npy_uint>
-{
-    enum {
-        value = NPY_UINT
-    };
-};
-template <>
-struct type_num_of<npy_long>
-{
-    enum {
-        value = NPY_LONG
-    };
-};
-template <>
-struct type_num_of<npy_ulong>
-{
-    enum {
-        value = NPY_ULONG
-    };
-};
-template <>
-struct type_num_of<npy_longlong>
-{
-    enum {
-        value = NPY_LONGLONG
-    };
-};
-template <>
-struct type_num_of<npy_ulonglong>
-{
-    enum {
-        value = NPY_ULONGLONG
-    };
-};
-template <>
-struct type_num_of<npy_float>
-{
-    enum {
-        value = NPY_FLOAT
-    };
-};
-template <>
-struct type_num_of<npy_double>
-{
-    enum {
-        value = NPY_DOUBLE
-    };
-};
-#if NPY_LONGDOUBLE != NPY_DOUBLE
-template <>
-struct type_num_of<npy_longdouble>
-{
-    enum {
-        value = NPY_LONGDOUBLE
-    };
-};
-#endif
-template <>
-struct type_num_of<npy_cfloat>
-{
-    enum {
-        value = NPY_CFLOAT
-    };
-};
-template <>
-struct type_num_of<std::complex<npy_float> >
-{
-    enum {
-        value = NPY_CFLOAT
-    };
-};
-template <>
-struct type_num_of<npy_cdouble>
-{
-    enum {
-        value = NPY_CDOUBLE
-    };
-};
-template <>
-struct type_num_of<std::complex<npy_double> >
-{
-    enum {
-        value = NPY_CDOUBLE
-    };
-};
-#if NPY_CLONGDOUBLE != NPY_CDOUBLE
-template <>
-struct type_num_of<npy_clongdouble>
-{
-    enum {
-        value = NPY_CLONGDOUBLE
-    };
-};
-#endif
-template <>
-struct type_num_of<std::complex<npy_longdouble> >
-{
-    enum {
-        value = NPY_CLONGDOUBLE
-    };
-};
-template <>
-struct type_num_of<PyObject *>
-{
-    enum {
-        value = NPY_OBJECT
-    };
-};
-template <typename T>
-struct type_num_of<T &>
-{
-    enum {
-        value = type_num_of<T>::value
-    };
-};
-template <typename T>
-struct type_num_of<const T>
-{
-    enum {
-        value = type_num_of<T>::value
-    };
-};
-
-template <typename T>
-struct is_const
-{
-    enum {
-        value = false
-    };
-};
-template <typename T>
-struct is_const<const T>
-{
-    enum {
-        value = true
-    };
-};
-
-namespace detail
-{
-template <template <typename, int> class AV, typename T, int ND>
-class array_view_accessors;
-
-template <template <typename, int> class AV, typename T>
-class array_view_accessors<AV, T, 1>
-{
-  public:
-    typedef AV<T, 1> AVC;
-    typedef T sub_t;
-
-    T &operator()(npy_intp i)
-    {
-        AVC *self = static_cast<AVC *>(this);
-
-        return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i);
-    }
-
-    const T &operator()(npy_intp i) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i);
-    }
-
-    T &operator[](npy_intp i)
-    {
-        AVC *self = static_cast<AVC *>(this);
-
-        return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i);
-    }
-
-    const T &operator[](npy_intp i) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i);
-    }
-};
-
-template <template <typename, int> class AV, typename T>
-class array_view_accessors<AV, T, 2>
-{
-  public:
-    typedef AV<T, 2> AVC;
-    typedef AV<T, 1> sub_t;
-
-    T &operator()(npy_intp i, npy_intp j)
-    {
-        AVC *self = static_cast<AVC *>(this);
-
-        return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i +
-                                      self->m_strides[1] * j);
-    }
-
-    const T &operator()(npy_intp i, npy_intp j) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i +
-                                            self->m_strides[1] * j);
-    }
-
-    sub_t operator[](npy_intp i) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return sub_t(self->m_arr,
-                     self->m_data + self->m_strides[0] * i,
-                     self->m_shape + 1,
-                     self->m_strides + 1);
-    }
-};
-
-template <template <typename, int> class AV, typename T>
-class array_view_accessors<AV, T, 3>
-{
-  public:
-    typedef AV<T, 3> AVC;
-    typedef AV<T, 2> sub_t;
-
-    T &operator()(npy_intp i, npy_intp j, npy_intp k)
-    {
-        AVC *self = static_cast<AVC *>(this);
-
-        return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i +
-                                      self->m_strides[1] * j + self->m_strides[2] * k);
-    }
-
-    const T &operator()(npy_intp i, npy_intp j, npy_intp k) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i +
-                                            self->m_strides[1] * j + self->m_strides[2] * k);
-    }
-
-    sub_t operator[](npy_intp i) const
-    {
-        const AVC *self = static_cast<const AVC *>(this);
-
-        return sub_t(self->m_arr,
-                     self->m_data + self->m_strides[0] * i,
-                     self->m_shape + 1,
-                     self->m_strides + 1);
-    }
-
-
-};
-
-}
-
-static npy_intp zeros[] = { 0, 0, 0 };
-
-template <typename T, int ND>
-class array_view : public detail::array_view_accessors<array_view, T, ND>
-{
-    friend class detail::array_view_accessors<numpy::array_view, T, ND>;
-
-  private:
-    // Copies of the array data
-    PyArrayObject *m_arr;
-    npy_intp *m_shape;
-    npy_intp *m_strides;
-    char *m_data;
-
-  public:
-    typedef T value_type;
-
-    enum {
-        ndim = ND
-    };
-
-    array_view() : m_arr(NULL), m_data(NULL)
-    {
-        m_shape = zeros;
-        m_strides = zeros;
-    }
-
-    array_view(PyObject *arr, bool contiguous = false) : m_arr(NULL), m_data(NULL)
-    {
-        if (!set(arr, contiguous)) {
-            throw py::exception();
-        }
-    }
-
-    array_view(const array_view &other, bool contiguous = false) : m_arr(NULL), m_data(NULL)
-    {
-        if (!set((PyObject *)other.m_arr)) {
-            throw py::exception();
-        }
-    }
-
-    array_view(PyArrayObject *arr, char *data, npy_intp *shape, npy_intp *strides)
-    {
-        m_arr = arr;
-        Py_INCREF(arr);
-        m_data = data;
-        m_shape = shape;
-        m_strides = strides;
-    }
-
-    array_view(npy_intp shape[ND]) : m_arr(NULL), m_shape(NULL), m_strides(NULL), m_data(NULL)
-    {
-        PyObject *arr = PyArray_SimpleNew(ND, shape, type_num_of<T>::value);
-        if (arr == NULL) {
-            throw py::exception();
-        }
-        if (!set(arr, true)) {
-            Py_DECREF(arr);
-            throw py::exception();
-        }
-        Py_DECREF(arr);
-    }
-
-    ~array_view()
-    {
-        Py_XDECREF(m_arr);
-    }
-
-    const array_view& operator=(const array_view &other)
-    {
-        if (this != &other)
-        {
-            Py_XDECREF(m_arr);
-            m_arr = other.m_arr;
-            Py_XINCREF(m_arr);
-            m_data = other.m_data;
-            m_shape = other.m_shape;
-            m_strides = other.m_strides;
-        }
-        return *this;
-    }
-
-    int set(PyObject *arr, bool contiguous = false)
-    {
-        PyArrayObject *tmp;
-
-        if (arr == NULL || arr == Py_None) {
-            Py_XDECREF(m_arr);
-            m_arr = NULL;
-            m_data = NULL;
-            m_shape = zeros;
-            m_strides = zeros;
-        } else {
-            if (contiguous) {
-                tmp = (PyArrayObject *)PyArray_ContiguousFromAny(arr, type_num_of<T>::value, 0, ND);
-            } else {
-                tmp = (PyArrayObject *)PyArray_FromObject(arr, type_num_of<T>::value, 0, ND);
-            }
-            if (tmp == NULL) {
-                return 0;
-            }
-
-            if (PyArray_NDIM(tmp) == 0 || PyArray_DIM(tmp, 0) == 0) {
-                Py_XDECREF(m_arr);
-                m_arr = NULL;
-                m_data = NULL;
-                m_shape = zeros;
-                m_strides = zeros;
-            } else if (PyArray_NDIM(tmp) != ND) {
-                PyErr_Format(PyExc_ValueError,
-                             "Expected %d-dimensional array, got %d",
-                             ND,
-                             PyArray_NDIM(tmp));
-                Py_DECREF(tmp);
-                return 0;
-            }
-
-            /* Copy some of the data to the view object for faster access */
-            Py_XDECREF(m_arr);
-            m_arr = tmp;
-            m_shape = PyArray_DIMS(m_arr);
-            m_strides = PyArray_STRIDES(m_arr);
-            m_data = (char *)PyArray_BYTES(tmp);
-        }
-
-        return 1;
-    }
-
-    npy_intp dim(size_t i) const
-    {
-        if (i > ND) {
-            return 0;
-        }
-        return m_shape[i];
-    }
-
-    size_t size() const
-    {
-        return (size_t)dim(0);
-    }
-
-    bool empty() const
-    {
-        return size() == 0;
-    }
-
-    // Do not use this for array_view<bool, ND>.  See comment near top of file.
-    const T *data() const
-    {
-        return (const T *)m_data;
-    }
-
-    // Do not use this for array_view<bool, ND>.  See comment near top of file.
-    T *data()
-    {
-        return (T *)m_data;
-    }
-
-    PyObject *pyobj()
-    {
-        Py_INCREF(m_arr);
-        return (PyObject *)m_arr;
-    }
-
-    static int converter(PyObject *obj, void *arrp)
-    {
-        array_view<T, ND> *arr = (array_view<T, ND> *)arrp;
-
-        if (!arr->set(obj)) {
-            return 0;
-        }
-
-        return 1;
-    }
-
-    static int converter_contiguous(PyObject *obj, void *arrp)
-    {
-        array_view<T, ND> *arr = (array_view<T, ND> *)arrp;
-
-        if (!arr->set(obj, true)) {
-            return 0;
-        }
-
-        return 1;
-    }
-};
-
-} // namespace numpy
-
-
-#endif
diff --git a/src/path_cleanup.cpp b/src/path_cleanup.cpp
deleted file mode 100644
index 7951cfd9cef5..000000000000
--- a/src/path_cleanup.cpp
+++ /dev/null
@@ -1,113 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#include <Python.h>
-#define NO_IMPORT_ARRAY
-#include "numpy/arrayobject.h"
-
-#include "py_converters.h"
-
-#include "py_adaptors.h"
-#include "agg_conv_transform.h"
-#include "path_converters.h"
-
-class PathCleanupIterator
-{
-    typedef agg::conv_transform<py::PathIterator> transformed_path_t;
-    typedef PathNanRemover<transformed_path_t> nan_removal_t;
-    typedef PathClipper<nan_removal_t> clipped_t;
-    typedef PathSnapper<clipped_t> snapped_t;
-    typedef PathSimplifier<snapped_t> simplify_t;
-    typedef Sketch<simplify_t> sketch_t;
-
-    py::PathIterator m_path_iter;
-    agg::trans_affine m_transform;
-    transformed_path_t m_transformed;
-    nan_removal_t m_nan_removed;
-    clipped_t m_clipped;
-    snapped_t m_snapped;
-    simplify_t m_simplify;
-    sketch_t m_sketch;
-
-  public:
-    PathCleanupIterator(PyObject *path,
-                        agg::trans_affine trans,
-                        bool remove_nans,
-                        bool do_clip,
-                        const agg::rect_base<double> &rect,
-                        e_snap_mode snap_mode,
-                        double stroke_width,
-                        bool do_simplify,
-                        double sketch_scale,
-                        double sketch_length,
-                        double sketch_randomness)
-        : m_transform(trans),
-          m_transformed(m_path_iter, m_transform),
-          m_nan_removed(m_transformed, remove_nans, m_path_iter.has_curves()),
-          m_clipped(m_nan_removed, do_clip, rect),
-          m_snapped(m_clipped, snap_mode, m_path_iter.total_vertices(), stroke_width),
-          m_simplify(m_snapped,
-                     do_simplify && m_path_iter.should_simplify(),
-                     m_path_iter.simplify_threshold()),
-          m_sketch(m_simplify, sketch_scale, sketch_length, sketch_randomness)
-    {
-        convert_path(path, &m_path_iter);
-
-        Py_INCREF(path);
-        m_path_iter.rewind(0);
-    }
-
-    unsigned vertex(double *x, double *y)
-    {
-        return m_simplify.vertex(x, y);
-    }
-};
-
-extern "C" {
-void *get_path_iterator(PyObject *path,
-                        PyObject *trans,
-                        int remove_nans,
-                        int do_clip,
-                        double rect[4],
-                        e_snap_mode snap_mode,
-                        double stroke_width,
-                        int do_simplify,
-                        double sketch_scale,
-                        double sketch_length,
-                        double sketch_randomness)
-{
-    agg::trans_affine agg_trans;
-    if (!convert_trans_affine(trans, &agg_trans)) {
-        return NULL;
-    }
-    agg::rect_base<double> clip_rect(rect[0], rect[1], rect[2], rect[3]);
-
-    PathCleanupIterator *pipeline = new PathCleanupIterator(path,
-                                                            agg_trans,
-                                                            remove_nans != 0,
-                                                            do_clip != 0,
-                                                            clip_rect,
-                                                            snap_mode,
-                                                            stroke_width,
-                                                            do_simplify != 0,
-                                                            sketch_scale,
-                                                            sketch_length,
-                                                            sketch_randomness);
-
-    return (void *)pipeline;
-}
-
-unsigned get_vertex(void *pipeline, double *x, double *y)
-{
-    PathCleanupIterator *pipeline_iter = (PathCleanupIterator *)pipeline;
-
-    unsigned code = pipeline_iter->vertex(x, y);
-    return code;
-}
-
-void free_path_iterator(void *pipeline)
-{
-    PathCleanupIterator *pipeline_iter = (PathCleanupIterator *)pipeline;
-
-    delete pipeline_iter;
-}
-}
diff --git a/src/path_cleanup.h b/src/path_cleanup.h
deleted file mode 100644
index b481395aa54e..000000000000
--- a/src/path_cleanup.h
+++ /dev/null
@@ -1,27 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#ifndef PATH_CLEANUP_H
-#define PATH_CLEANUP_H
-
-#include <Python.h>
-
-enum e_snap_mode {
-    SNAP_AUTO,
-    SNAP_FALSE,
-    SNAP_TRUE
-};
-
-void *get_path_iterator(PyObject *path,
-                        PyObject *trans,
-                        int remove_nans,
-                        int do_clip,
-                        double rect[4],
-                        enum e_snap_mode snap_mode,
-                        double stroke_width,
-                        int do_simplify);
-
-unsigned get_vertex(void *pipeline, double *x, double *y);
-
-void free_path_iterator(void *pipeline);
-
-#endif /* PATH_CLEANUP_H */
diff --git a/src/path_converters.h b/src/path_converters.h
index 1e5ac990df6d..1482aeed95f8 100644
--- a/src/path_converters.h
+++ b/src/path_converters.h
@@ -1,11 +1,15 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-#ifndef __PATH_CONVERTERS_H__
-#define __PATH_CONVERTERS_H__
+#ifndef MPL_PATH_CONVERTERS_H
+#define MPL_PATH_CONVERTERS_H
+
+#include <pybind11/pybind11.h>
+
+#include <cmath>
+#include <cstdint>
+#include <limits>
 
-#include "agg_path_storage.h"
 #include "agg_clip_liang_barsky.h"
-#include "MPL_isnan.h"
 #include "mplutils.h"
 #include "agg_conv_segmentator.h"
 
@@ -24,7 +28,7 @@
 
    3. PathClipper: Clips line segments to a given rectangle.  This is
       helpful for data reduction, and also to avoid a limitation in
-      Agg where coordinates can not be larger than 24-bit signed
+      Agg where coordinates cannot be larger than 24-bit signed
       integers.
 
    4. PathSnapper: Rounds the path to the nearest center-pixels.
@@ -55,9 +59,7 @@ class EmbeddedQueue
 
     struct item
     {
-        item()
-        {
-        }
+        item() = default;
 
         inline void set(const unsigned cmd_, const double x_, const double y_)
         {
@@ -115,6 +117,41 @@ static const size_t num_extra_points_map[] =
      0, 0, 0, 0
     };
 
+/* An implementation of a simple linear congruential random number
+   generator.  This is a "classic" and fast RNG which works fine for
+   our purposes of sketching lines, but should not be used for things
+   that matter, like crypto.  We are implementing this ourselves
+   rather than using the C stdlib so that the seed state is not shared
+   with other third-party code. There are recent C++ options, but we
+   still require nothing later than C++98 for compatibility
+   reasons. */
+class RandomNumberGenerator
+{
+private:
+    /* These are the same constants from MS Visual C++, which
+       has the nice property that the modulus is 2^32, thus
+       saving an explicit modulo operation
+    */
+    static const uint32_t a = 214013;
+    static const uint32_t c = 2531011;
+    uint32_t m_seed;
+
+public:
+    RandomNumberGenerator() : m_seed(0) {}
+    RandomNumberGenerator(int seed) : m_seed(seed) {}
+
+    void seed(int seed)
+    {
+        m_seed = seed;
+    }
+
+    double get_double()
+    {
+        m_seed = (a * m_seed + c);
+        return (double)m_seed / (double)(1LL << 32);
+    }
+};
+
 /*
   PathNanRemover is a vertex converter that removes non-finite values
   from the vertices list, and inserts MOVETO commands as necessary to
@@ -126,17 +163,26 @@ class PathNanRemover : protected EmbeddedQueue<4>
 {
     VertexSource *m_source;
     bool m_remove_nans;
-    bool m_has_curves;
+    bool m_has_codes;
+    bool valid_segment_exists;
+    bool m_last_segment_valid;
+    bool m_was_broken;
+    double m_initX;
+    double m_initY;
 
   public:
-    /* has_curves should be true if the path contains bezier curve
-       segments, as this requires a slower algorithm to remove the
-       NaNs.  When in doubt, set to true.
+    /* has_codes should be true if the path contains bezier curve segments, or
+     * closed loops, as this requires a slower algorithm to remove the NaNs.
+     * When in doubt, set to true.
      */
-    PathNanRemover(VertexSource &source, bool remove_nans, bool has_curves)
-        : m_source(&source), m_remove_nans(remove_nans), m_has_curves(has_curves)
+    PathNanRemover(VertexSource &source, bool remove_nans, bool has_codes)
+        : m_source(&source), m_remove_nans(remove_nans), m_has_codes(has_codes),
+          m_last_segment_valid(false), m_was_broken(false),
+          m_initX(nan("")), m_initY(nan(""))
     {
-        // empty
+        // ignore all close/end_poly commands until after the first valid
+        // (nan-free) command is encountered
+        valid_segment_exists = false;
     }
 
     inline void rewind(unsigned path_id)
@@ -153,8 +199,9 @@ class PathNanRemover : protected EmbeddedQueue<4>
             return m_source->vertex(x, y);
         }
 
-        if (m_has_curves) {
-            /* This is the slow method for when there might be curves. */
+        if (m_has_codes) {
+            /* This is the slow method for when there might be curves or closed
+             * loops. */
             if (queue_pop(&code, x, y)) {
                 return code;
             }
@@ -166,9 +213,41 @@ class PathNanRemover : protected EmbeddedQueue<4>
                    are found along the way, the queue is emptied, and
                    the next curve segment is handled. */
                 code = m_source->vertex(x, y);
-                if (code == agg::path_cmd_stop ||
-                    code == (agg::path_cmd_end_poly | agg::path_flags_close)) {
+                /* The vertices attached to STOP and CLOSEPOLY are never used,
+                 * so we leave them as-is even if NaN. */
+                if (code == agg::path_cmd_stop) {
                     return code;
+                } else if (code == (agg::path_cmd_end_poly |
+                                    agg::path_flags_close) &&
+                           valid_segment_exists) {
+                    /* However, CLOSEPOLY only makes sense if a valid MOVETO
+                     * command has already been emitted. But if a NaN was
+                     * removed in the path, then we cannot close it as it is no
+                     * longer a loop. We must emulate that by inserting a
+                     * LINETO instead. */
+                    if (m_was_broken) {
+                        if (m_last_segment_valid && (
+                                std::isfinite(m_initX) &&
+                                std::isfinite(m_initY))) {
+                            /* Join to start if both ends are valid. */
+                            queue_push(agg::path_cmd_line_to, m_initX, m_initY);
+                            break;
+                        } else {
+                            /* Skip the close, in case there are additional
+                             * subpaths. */
+                            continue;
+                        }
+                        m_was_broken = false;
+                        break;
+                    } else {
+                        return code;
+                    }
+                } else if (code == agg::path_cmd_move_to) {
+                    /* Save the initial point in order to produce the last
+                     * segment closing a loop, *if* we broke the loop. */
+                    m_initX = *x;
+                    m_initY = *y;
+                    m_was_broken = false;
                 }
 
                 if (needs_move_to) {
@@ -176,27 +255,30 @@ class PathNanRemover : protected EmbeddedQueue<4>
                 }
 
                 size_t num_extra_points = num_extra_points_map[code & 0xF];
-                bool has_nan = (MPL_notisfinite64(*x) || MPL_notisfinite64(*y));
+                m_last_segment_valid = (std::isfinite(*x) && std::isfinite(*y));
                 queue_push(code, *x, *y);
 
-                /* Note: this test can not be short-circuited, since we need to
+                /* Note: this test cannot be short-circuited, since we need to
                    advance through the entire curve no matter what */
                 for (size_t i = 0; i < num_extra_points; ++i) {
                     m_source->vertex(x, y);
-                    has_nan = has_nan || (MPL_notisfinite64(*x) || MPL_notisfinite64(*y));
+                    m_last_segment_valid = m_last_segment_valid &&
+                        (std::isfinite(*x) && std::isfinite(*y));
                     queue_push(code, *x, *y);
                 }
 
-                if (!has_nan) {
+                if (m_last_segment_valid) {
+                    valid_segment_exists = true;
                     break;
                 }
 
+                m_was_broken = true;
                 queue_clear();
 
                 /* If the last point is finite, we use that for the
                    moveto, otherwise, we'll use the first vertex of
                    the next curve. */
-                if (!(MPL_notisfinite64(*x) || MPL_notisfinite64(*y))) {
+                if (std::isfinite(*x) && std::isfinite(*y)) {
                     queue_push(agg::path_cmd_move_to, *x, *y);
                     needs_move_to = false;
                 } else {
@@ -209,27 +291,29 @@ class PathNanRemover : protected EmbeddedQueue<4>
             } else {
                 return agg::path_cmd_stop;
             }
-        } else // !m_has_curves
+        } else // !m_has_codes
         {
-            /* This is the fast path for when we know we have no curves */
+            /* This is the fast path for when we know we have no codes. */
             code = m_source->vertex(x, y);
 
             if (code == agg::path_cmd_stop ||
-                code == (agg::path_cmd_end_poly | agg::path_flags_close)) {
+                (code == (agg::path_cmd_end_poly | agg::path_flags_close) &&
+                 valid_segment_exists)) {
                 return code;
             }
 
-            if (MPL_notisfinite64(*x) || MPL_notisfinite64(*y)) {
+            if (!(std::isfinite(*x) && std::isfinite(*y))) {
                 do {
                     code = m_source->vertex(x, y);
                     if (code == agg::path_cmd_stop ||
-                        code == (agg::path_cmd_end_poly | agg::path_flags_close)) {
+                        (code == (agg::path_cmd_end_poly | agg::path_flags_close) &&
+                         valid_segment_exists)) {
                         return code;
                     }
-                } while (MPL_notisfinite64(*x) || MPL_notisfinite64(*y));
+                } while (!(std::isfinite(*x) && std::isfinite(*y)));
                 return agg::path_cmd_move_to;
             }
-
+            valid_segment_exists = true;
             return code;
         }
     }
@@ -242,7 +326,7 @@ class PathNanRemover : protected EmbeddedQueue<4>
  clipped, but are always included in their entirety.
  */
 template <class VertexSource>
-class PathClipper
+class PathClipper : public EmbeddedQueue<3>
 {
     VertexSource *m_source;
     bool m_do_clipping;
@@ -250,23 +334,23 @@ class PathClipper
     double m_lastX;
     double m_lastY;
     bool m_moveto;
-    double m_nextX;
-    double m_nextY;
-    bool m_has_next;
     double m_initX;
     double m_initY;
     bool m_has_init;
-    bool m_broke_path;
+    bool m_was_clipped;
 
   public:
     PathClipper(VertexSource &source, bool do_clipping, double width, double height)
         : m_source(&source),
           m_do_clipping(do_clipping),
           m_cliprect(-1.0, -1.0, width + 1.0, height + 1.0),
+          m_lastX(nan("")),
+          m_lastY(nan("")),
           m_moveto(true),
-          m_has_next(false),
+          m_initX(nan("")),
+          m_initY(nan("")),
           m_has_init(false),
-          m_broke_path(false)
+          m_was_clipped(false)
     {
         // empty
     }
@@ -275,10 +359,13 @@ class PathClipper
         : m_source(&source),
           m_do_clipping(do_clipping),
           m_cliprect(rect),
+          m_lastX(nan("")),
+          m_lastY(nan("")),
           m_moveto(true),
-          m_has_next(false),
+          m_initX(nan("")),
+          m_initY(nan("")),
           m_has_init(false),
-          m_broke_path(false)
+          m_was_clipped(false)
     {
         m_cliprect.x1 -= 1.0;
         m_cliprect.y1 -= 1.0;
@@ -288,85 +375,147 @@ class PathClipper
 
     inline void rewind(unsigned path_id)
     {
-        m_has_next = false;
+        m_has_init = false;
+        m_was_clipped = false;
         m_moveto = true;
         m_source->rewind(path_id);
     }
 
+    int draw_clipped_line(double x0, double y0, double x1, double y1,
+                          bool closed=false)
+    {
+        unsigned moved = agg::clip_line_segment(&x0, &y0, &x1, &y1, m_cliprect);
+        // moved >= 4 - Fully clipped
+        // moved & 1 != 0 - First point has been moved
+        // moved & 2 != 0 - Second point has been moved
+        m_was_clipped = m_was_clipped || (moved != 0);
+        if (moved < 4) {
+            if (moved & 1 || m_moveto) {
+                queue_push(agg::path_cmd_move_to, x0, y0);
+            }
+            queue_push(agg::path_cmd_line_to, x1, y1);
+            if (closed && !m_was_clipped) {
+                // Close the path only if the end point hasn't moved.
+                queue_push(agg::path_cmd_end_poly | agg::path_flags_close,
+                           x1, y1);
+            }
+
+            m_moveto = false;
+            return 1;
+        }
+
+        return 0;
+    }
+
     unsigned vertex(double *x, double *y)
     {
         unsigned code;
+        bool emit_moveto = false;
 
-        if (m_do_clipping) {
-            /* This is the slow path where we actually do clipping */
+        if (!m_do_clipping) {
+            // If not doing any clipping, just pass along the vertices verbatim
+            return m_source->vertex(x, y);
+        }
 
-            if (m_has_next) {
-                m_has_next = false;
-                *x = m_nextX;
-                *y = m_nextY;
-                return agg::path_cmd_line_to;
-            }
+        /* This is the slow path where we actually do clipping */
 
-            while ((code = m_source->vertex(x, y)) != agg::path_cmd_stop) {
-                if (code == (agg::path_cmd_end_poly | agg::path_flags_close)) {
-                    if (m_has_init) {
-                        *x = m_initX;
-                        *y = m_initY;
-                        code = agg::path_cmd_line_to;
-                    } else {
-                        continue;
-                    }
+        if (queue_pop(&code, x, y)) {
+            return code;
+        }
+
+        while ((code = m_source->vertex(x, y)) != agg::path_cmd_stop) {
+            emit_moveto = false;
+
+            switch (code) {
+            case (agg::path_cmd_end_poly | agg::path_flags_close):
+                if (m_has_init) {
+                    // Queue the line from last point to the initial point, and
+                    // if never clipped, add a close code.
+                    draw_clipped_line(m_lastX, m_lastY, m_initX, m_initY,
+                                      true);
+                } else {
+                    // An empty path that is immediately closed.
+                    queue_push(
+                        agg::path_cmd_end_poly | agg::path_flags_close,
+                        m_lastX, m_lastY);
+                }
+                // If paths were not clipped, then the above code queued
+                // something, and we should exit the loop. Otherwise, continue
+                // to the next point, as there may be a new subpath.
+                if (queue_nonempty()) {
+                    goto exit_loop;
+                }
+                break;
+
+            case agg::path_cmd_move_to:
+
+                // was the last command a moveto (and we have
+                // seen at least one command ?
+                // if so, shove it in the queue if in clip box
+                if (m_moveto && m_has_init &&
+                    m_lastX >= m_cliprect.x1 &&
+                    m_lastX <= m_cliprect.x2 &&
+                    m_lastY >= m_cliprect.y1 &&
+                    m_lastY <= m_cliprect.y2) {
+                    // push the last moveto onto the queue
+                    queue_push(agg::path_cmd_move_to, m_lastX, m_lastY);
+                    // flag that we need to emit it
+                    emit_moveto = true;
                 }
+                // update the internal state for this moveto
+                m_initX = m_lastX = *x;
+                m_initY = m_lastY = *y;
+                m_has_init = true;
+                m_moveto = true;
+                m_was_clipped = false;
+                // if the last command was moveto exit the loop to emit the code
+                if (emit_moveto) {
+                    goto exit_loop;
+                }
+                // else, break and get the next point
+                break;
 
-                if (code == agg::path_cmd_move_to) {
-                    m_initX = *x;
-                    m_initY = *y;
-                    m_has_init = true;
-                    m_moveto = true;
+            case agg::path_cmd_line_to:
+                if (draw_clipped_line(m_lastX, m_lastY, *x, *y)) {
+                    m_lastX = *x;
+                    m_lastY = *y;
+                    goto exit_loop;
                 }
+                m_lastX = *x;
+                m_lastY = *y;
+                break;
+
+            default:
                 if (m_moveto) {
+                    queue_push(agg::path_cmd_move_to, m_lastX, m_lastY);
                     m_moveto = false;
-                    code = agg::path_cmd_move_to;
-                    break;
-                } else if (code == agg::path_cmd_line_to) {
-                    double x0, y0, x1, y1;
-                    x0 = m_lastX;
-                    y0 = m_lastY;
-                    x1 = *x;
-                    y1 = *y;
-                    m_lastX = *x;
-                    m_lastY = *y;
-                    unsigned moved = agg::clip_line_segment(&x0, &y0, &x1, &y1, m_cliprect);
-                    // moved >= 4 - Fully clipped
-                    // moved & 1 != 0 - First point has been moved
-                    // moved & 2 != 0 - Second point has been moved
-                    if (moved < 4) {
-                        if (moved & 1) {
-                            *x = x0;
-                            *y = y0;
-                            m_nextX = x1;
-                            m_nextY = y1;
-                            m_has_next = true;
-                            m_broke_path = true;
-                            return agg::path_cmd_move_to;
-                        }
-                        *x = x1;
-                        *y = y1;
-                        return code;
-                    }
-                } else {
-                    break;
                 }
-            }
 
-            m_lastX = *x;
-            m_lastY = *y;
-            return code;
-        } else {
-            // If not doing any clipping, just pass along the vertices
-            // verbatim
-            return m_source->vertex(x, y);
+                queue_push(code, *x, *y);
+                m_lastX = *x;
+                m_lastY = *y;
+                goto exit_loop;
+            }
         }
+
+        exit_loop:
+
+            if (queue_pop(&code, x, y)) {
+                return code;
+            }
+
+            if (m_moveto && m_has_init &&
+                m_lastX >= m_cliprect.x1 &&
+                m_lastX <= m_cliprect.x2 &&
+                m_lastY >= m_cliprect.y1 &&
+                m_lastY <= m_cliprect.y2) {
+                *x = m_lastX;
+                *y = m_lastY;
+                m_moveto = false;
+                return agg::path_cmd_move_to;
+            }
+
+            return agg::path_cmd_stop;
     }
 };
 
@@ -381,6 +530,24 @@ enum e_snap_mode {
     SNAP_TRUE
 };
 
+namespace PYBIND11_NAMESPACE { namespace detail {
+    template <> struct type_caster<e_snap_mode> {
+    public:
+        PYBIND11_TYPE_CASTER(e_snap_mode, const_name("e_snap_mode"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                value = SNAP_AUTO;
+                return true;
+            }
+
+            value = src.cast<bool>() ? SNAP_TRUE : SNAP_FALSE;
+
+            return true;
+        }
+    };
+}} // namespace PYBIND11_NAMESPACE::detail
+
 template <class VertexSource>
 class PathSnapper
 {
@@ -413,7 +580,7 @@ class PathSnapper
                 case agg::path_cmd_curve4:
                     return false;
                 case agg::path_cmd_line_to:
-                    if (!(fabs(x0 - x1) < 1e-4 || fabs(y0 - y1) < 1e-4)) {
+                    if (fabs(x0 - x1) >= 1e-4 && fabs(y0 - y1) >= 1e-4) {
                         return false;
                     }
                 }
@@ -447,7 +614,7 @@ class PathSnapper
         m_snap = should_snap(source, snap_mode, total_vertices);
 
         if (m_snap) {
-            int is_odd = (int)mpl_round(stroke_width) % 2;
+            int is_odd = mpl_round_to_int(stroke_width) % 2;
             m_snap_value = (is_odd) ? 0.5 : 0.0;
         }
 
@@ -488,21 +655,57 @@ class PathSimplifier : protected EmbeddedQueue<9>
     PathSimplifier(VertexSource &source, bool do_simplify, double simplify_threshold)
         : m_source(&source),
           m_simplify(do_simplify),
+          /* we square simplify_threshold so that we can compute
+             norms without doing the square root every step. */
           m_simplify_threshold(simplify_threshold * simplify_threshold),
+
           m_moveto(true),
           m_after_moveto(false),
+          m_clipped(false),
+
+          // whether the most recent MOVETO vertex is valid
+          m_has_init(false),
+
+          // the most recent MOVETO vertex
+          m_initX(0.0),
+          m_initY(0.0),
+
+          // the x, y values from last iteration
           m_lastx(0.0),
           m_lasty(0.0),
-          m_clipped(false),
+
+          // the dx, dy comprising the original vector, used in conjunction
+          // with m_currVecStart* to define the original vector.
           m_origdx(0.0),
           m_origdy(0.0),
+
+          // the squared norm of the original vector
           m_origdNorm2(0.0),
-          m_dnorm2Max(0.0),
-          m_lastMax(false),
+
+          // maximum squared norm of vector in forward (parallel) direction
+          m_dnorm2ForwardMax(0.0),
+          // maximum squared norm of vector in backward (anti-parallel) direction
+          m_dnorm2BackwardMax(0.0),
+
+          // was the last point the furthest from lastWritten in the
+          // forward (parallel) direction?
+          m_lastForwardMax(false),
+          // was the last point the furthest from lastWritten in the
+          // backward (anti-parallel) direction?
+          m_lastBackwardMax(false),
+
+          // added to queue when _push is called
           m_nextX(0.0),
           m_nextY(0.0),
-          m_lastWrittenX(0.0),
-          m_lastWrittenY(0.0)
+
+          // added to queue when _push is called if any backwards
+          // (anti-parallel) vectors were observed
+          m_nextBackwardX(0.0),
+          m_nextBackwardY(0.0),
+
+          // start of the current vector that is being simplified
+          m_currVecStartX(0.0),
+          m_currVecStartY(0.0)
     {
         // empty
     }
@@ -524,8 +727,8 @@ class PathSimplifier : protected EmbeddedQueue<9>
             return m_source->vertex(x, y);
         }
 
-        /* idea: we can skip drawing many lines: lines < 1 pixel in
-           length, and we can combine sequential parallel lines into a
+        /* idea: we can skip drawing many lines: we can combine
+           sequential parallel lines into a
            single line instead of redrawing lines over the same
            points.  The loop below works a bit like a state machine,
            where what it does depends on what it did in the last
@@ -544,6 +747,14 @@ class PathSimplifier : protected EmbeddedQueue<9>
            the queue before proceeding to the main loop below.
            -- Michael Droettboom */
 
+        /* This code was originally written by Allan Haldane and
+           updated by Michael Droettboom. I have modified it to
+           handle anti-parallel vectors. This is done essentially
+           the same way as parallel vectors, but requires a little
+           additional book-keeping to track whether or not we have
+           observed an anti-parallel vector during the current run.
+           -- Kevin Rose */
+
         if (queue_pop(&cmd, x, y)) {
             return cmd;
         }
@@ -569,10 +780,20 @@ class PathSimplifier : protected EmbeddedQueue<9>
                     _push(x, y);
                 }
                 m_after_moveto = true;
+
+                if (std::isfinite(*x) && std::isfinite(*y)) {
+                    m_has_init = true;
+                    m_initX = *x;
+                    m_initY = *y;
+                } else {
+                    m_has_init = false;
+                }
+
                 m_lastx = *x;
                 m_lasty = *y;
                 m_moveto = false;
                 m_origdNorm2 = 0.0;
+                m_dnorm2BackwardMax = 0.0;
                 m_clipped = true;
                 if (queue_nonempty()) {
                     /* If we did a push, empty the queue now. */
@@ -582,6 +803,19 @@ class PathSimplifier : protected EmbeddedQueue<9>
             }
             m_after_moveto = false;
 
+            if(agg::is_close(cmd)) {
+                if (m_has_init) {
+                    /* If we have a valid initial vertex, then
+                       replace the current vertex with the initial vertex */
+                    *x = m_initX;
+                    *y = m_initY;
+                } else {
+                    /* If we don't have a valid initial vertex, then
+                       we can't close the path, so we skip the vertex */
+                    continue;
+                }
+            }
+
             /* NOTE: We used to skip this very short segments, but if
                you have a lot of them cumulatively, you can miss
                maxima or minima in the data. */
@@ -606,11 +840,15 @@ class PathSimplifier : protected EmbeddedQueue<9>
                 m_origdNorm2 = m_origdx * m_origdx + m_origdy * m_origdy;
 
                 // set all the variables to reflect this new orig vector
-                m_dnorm2Max = m_origdNorm2;
-                m_lastMax = true;
-
-                m_nextX = m_lastWrittenX = m_lastx = *x;
-                m_nextY = m_lastWrittenY = m_lasty = *y;
+                m_dnorm2ForwardMax = m_origdNorm2;
+                m_dnorm2BackwardMax = 0.0;
+                m_lastForwardMax = true;
+                m_lastBackwardMax = false;
+
+                m_currVecStartX = m_lastx;
+                m_currVecStartY = m_lasty;
+                m_nextX = m_lastx = *x;
+                m_nextY = m_lasty = *y;
                 continue;
             }
 
@@ -622,12 +860,14 @@ class PathSimplifier : protected EmbeddedQueue<9>
                building is not too much. If o is the orig vector (we
                are building on), and v is the vector from the last
                written point to the current point, then the
-               perpendicular vector is p = v - (o.v)o, and we
-               normalize o (by dividing the second term by o.o). */
+               perpendicular vector is p = v - (o.v)o/(o.o)
+               (here, a.b indicates the dot product of a and b). */
 
             /* get the v vector */
-            double totdx = *x - m_lastWrittenX;
-            double totdy = *y - m_lastWrittenY;
+            double totdx = *x - m_currVecStartX;
+            double totdy = *y - m_currVecStartY;
+
+            /* get the dot product o.v */
             double totdot = m_origdx * totdx + m_origdy * totdy;
 
             /* get the para vector ( = (o.v)o/(o.o)) */
@@ -637,29 +877,37 @@ class PathSimplifier : protected EmbeddedQueue<9>
             /* get the perp vector ( = v - para) */
             double perpdx = totdx - paradx;
             double perpdy = totdy - parady;
+
+            /* get the squared norm of perp vector ( = p.p) */
             double perpdNorm2 = perpdx * perpdx + perpdy * perpdy;
 
-            /* If the perp vector is less than some number of (squared)
-               pixels in size, then merge the current vector */
+            /* If the perpendicular vector is less than
+               m_simplify_threshold pixels in size, then merge
+               current x,y with the current vector */
             if (perpdNorm2 < m_simplify_threshold) {
                 /* check if the current vector is parallel or
-                   anti-parallel to the orig vector. If it is
-                   parallel, test if it is the longest of the vectors
-                   we are merging in that direction. */
+                   anti-parallel to the orig vector. In either case,
+                   test if it is the longest of the vectors
+                   we are merging in that direction. If it is, then
+                   update the current vector in that direction. */
                 double paradNorm2 = paradx * paradx + parady * parady;
 
-                m_lastMax = false;
+                m_lastForwardMax = false;
+                m_lastBackwardMax = false;
                 if (totdot > 0.0) {
-                    if (paradNorm2 > m_dnorm2Max) {
-                        m_lastMax = true;
-                        m_dnorm2Max = paradNorm2;
+                    if (paradNorm2 > m_dnorm2ForwardMax) {
+                        m_lastForwardMax = true;
+                        m_dnorm2ForwardMax = paradNorm2;
                         m_nextX = *x;
                         m_nextY = *y;
                     }
                 } else {
-                    _push(&m_lastx, &m_lasty);
-                    _push(x, y);
-                    break;
+                    if (paradNorm2 > m_dnorm2BackwardMax) {
+                        m_lastBackwardMax = true;
+                        m_dnorm2BackwardMax = paradNorm2;
+                        m_nextBackwardX = *x;
+                        m_nextBackwardY = *y;
+                    }
                 }
 
                 m_lastx = *x;
@@ -687,6 +935,12 @@ class PathSimplifier : protected EmbeddedQueue<9>
                                                         : agg::path_cmd_line_to,
                            m_nextX,
                            m_nextY);
+                if (m_dnorm2BackwardMax > 0.0) {
+                    queue_push((m_moveto || m_after_moveto) ? agg::path_cmd_move_to
+                                                            : agg::path_cmd_line_to,
+                               m_nextBackwardX,
+                               m_nextBackwardY);
+                }
                 m_moveto = false;
             }
             queue_push((m_moveto || m_after_moveto) ? agg::path_cmd_move_to : agg::path_cmd_line_to,
@@ -712,28 +966,54 @@ class PathSimplifier : protected EmbeddedQueue<9>
 
     bool m_moveto;
     bool m_after_moveto;
-    double m_lastx, m_lasty;
     bool m_clipped;
+    bool m_has_init;
+    double m_initX, m_initY;
+    double m_lastx, m_lasty;
 
     double m_origdx;
     double m_origdy;
     double m_origdNorm2;
-    double m_dnorm2Max;
-    bool m_lastMax;
+    double m_dnorm2ForwardMax;
+    double m_dnorm2BackwardMax;
+    bool m_lastForwardMax;
+    bool m_lastBackwardMax;
     double m_nextX;
     double m_nextY;
-    double m_lastWrittenX;
-    double m_lastWrittenY;
+    double m_nextBackwardX;
+    double m_nextBackwardY;
+    double m_currVecStartX;
+    double m_currVecStartY;
 
     inline void _push(double *x, double *y)
     {
-        queue_push(agg::path_cmd_line_to, m_nextX, m_nextY);
+        bool needToPushBack = (m_dnorm2BackwardMax > 0.0);
+
+        /* If we observed any backward (anti-parallel) vectors, then
+           we need to push both forward and backward vectors. */
+        if (needToPushBack) {
+            /* If the last vector seen was the maximum in the forward direction,
+               then we need to push the forward after the backward. Otherwise,
+               the last vector seen was the maximum in the backward direction,
+               or somewhere in between, either way we are safe pushing forward
+               before backward. */
+            if (m_lastForwardMax) {
+                queue_push(agg::path_cmd_line_to, m_nextBackwardX, m_nextBackwardY);
+                queue_push(agg::path_cmd_line_to, m_nextX, m_nextY);
+            } else {
+                queue_push(agg::path_cmd_line_to, m_nextX, m_nextY);
+                queue_push(agg::path_cmd_line_to, m_nextBackwardX, m_nextBackwardY);
+            }
+        } else {
+            /* If we did not observe any backwards vectors, just push forward. */
+            queue_push(agg::path_cmd_line_to, m_nextX, m_nextY);
+        }
 
         /* If we clipped some segments between this line and the next line
            we are starting, we also need to move to the last point. */
         if (m_clipped) {
             queue_push(agg::path_cmd_move_to, m_lastx, m_lasty);
-        } else if (!m_lastMax) {
+        } else if ((!m_lastForwardMax) && (!m_lastBackwardMax)) {
             /* If the last line was not the longest line, then move
                back to the end point of the last line in the
                sequence. Only do this if not clipped, since in that
@@ -748,12 +1028,14 @@ class PathSimplifier : protected EmbeddedQueue<9>
         m_origdy = *y - m_lasty;
         m_origdNorm2 = m_origdx * m_origdx + m_origdy * m_origdy;
 
-        m_dnorm2Max = m_origdNorm2;
-        m_lastMax = true;
-        m_lastWrittenX = m_queue[m_queue_write - 1].x;
-        m_lastWrittenY = m_queue[m_queue_write - 1].y;
+        m_dnorm2ForwardMax = m_origdNorm2;
+        m_lastForwardMax = true;
+        m_currVecStartX = m_queue[m_queue_write - 1].x;
+        m_currVecStartY = m_queue[m_queue_write - 1].y;
         m_lastx = m_nextX = *x;
         m_lasty = m_nextY = *y;
+        m_dnorm2BackwardMax = 0.0;
+        m_lastBackwardMax = false;
 
         m_clipped = false;
     }
@@ -782,9 +1064,23 @@ class Sketch
           m_last_x(0.0),
           m_last_y(0.0),
           m_has_last(false),
-          m_p(0.0)
+          m_p(0.0),
+          m_rand(0)
     {
         rewind(0);
+        const double d_M_PI = 3.14159265358979323846;
+        // Set derived values to zero if m_length or m_randomness are zero to
+        // avoid divide-by-zero errors when a sketch is created but not used.
+        if (m_length <= std::numeric_limits<double>::epsilon() || m_randomness <= std::numeric_limits<double>::epsilon()) {
+            m_p_scale = 0.0;
+        } else {
+            m_p_scale = (2.0 * d_M_PI) / (m_length * m_randomness);
+        }
+        if (m_randomness <= std::numeric_limits<double>::epsilon()) {
+            m_log_randomness = 0.0;
+        } else {
+            m_log_randomness = 2.0 * log(m_randomness);
+        }
     }
 
     unsigned vertex(double *x, double *y)
@@ -803,10 +1099,21 @@ class Sketch
         if (m_has_last) {
             // We want the "cursor" along the sine wave to move at a
             // random rate.
-            double d_rand = rand() / double(RAND_MAX);
-            double d_M_PI = 3.14159265358979323846;
-            m_p += pow(m_randomness, d_rand * 2.0 - 1.0);
-            double r = sin(m_p / (m_length / (d_M_PI * 2.0))) * m_scale;
+            double d_rand = m_rand.get_double();
+            // Original computation
+            // p += pow(k, 2*rand - 1)
+            // r = sin(p * c)
+            // x86 computes pow(a, b) as exp(b*log(a))
+            // First, move -1 out, so
+            // p' += pow(k, 2*rand)
+            // r = sin(p * c') where c' = c / k
+            // Next, use x86 logic (will not be worse on other platforms as
+            // the log is only computed once and pow and exp are, at worst,
+            // the same)
+            // So p+= exp(2*rand*log(k))
+            // lk = 2*log(k)
+            // p += exp(rand*lk)
+            m_p += exp(d_rand * m_log_randomness);
             double den = m_last_x - *x;
             double num = m_last_y - *y;
             double len = num * num + den * den;
@@ -814,8 +1121,10 @@ class Sketch
             m_last_y = *y;
             if (len != 0) {
                 len = sqrt(len);
-                *x += r * num / len;
-                *y += r * -den / len;
+                double r = sin(m_p * m_p_scale) * m_scale;
+                double roverlen = r / len;
+                *x += roverlen * num;
+                *y -= roverlen * den;
             }
         } else {
             m_last_x = *x;
@@ -829,10 +1138,10 @@ class Sketch
 
     inline void rewind(unsigned path_id)
     {
-        srand(0);
         m_has_last = false;
         m_p = 0.0;
         if (m_scale != 0.0) {
+            m_rand.seed(0);
             m_segmented.rewind(path_id);
         } else {
             m_source->rewind(path_id);
@@ -849,6 +1158,9 @@ class Sketch
     double m_last_y;
     bool m_has_last;
     double m_p;
+    RandomNumberGenerator m_rand;
+    double m_p_scale;
+    double m_log_randomness;
 };
 
-#endif // __PATH_CONVERTERS_H__
+#endif // MPL_PATH_CONVERTERS_H
diff --git a/src/py_adaptors.h b/src/py_adaptors.h
index 8eaa7ad6c71d..8c304dca43e7 100644
--- a/src/py_adaptors.h
+++ b/src/py_adaptors.h
@@ -1,29 +1,25 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-#ifndef __PY_ADAPTORS_H__
-#define __PY_ADAPTORS_H__
-
+#ifndef MPL_PY_ADAPTORS_H
+#define MPL_PY_ADAPTORS_H
+#define PY_SSIZE_T_CLEAN
 /***************************************************************************
  * This module contains a number of C++ classes that adapt Python data
  * structures to C++ and Agg-friendly interfaces.
  */
 
-#include <Python.h>
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
 
-#include "numpy/arrayobject.h"
+#include "agg_basics.h"
 
-#include "py_exceptions.h"
+namespace py = pybind11;
 
-extern "C" {
-int convert_path(PyObject *obj, void *pathp);
-}
-
-namespace py
-{
+namespace mpl {
 
 /************************************************************
- * py::PathIterator acts as a bridge between Numpy and Agg.  Given a
- * pair of Numpy arrays, vertices and codes, it iterates over
+ * mpl::PathIterator acts as a bridge between NumPy and Agg.  Given a
+ * pair of NumPy arrays, vertices and codes, it iterates over
  * those vertices and codes, using the standard Agg vertex source
  * interface:
  *
@@ -35,8 +31,8 @@ class PathIterator
        underlying data arrays, so that Python reference counting
        can work.
     */
-    PyArrayObject *m_vertices;
-    PyArrayObject *m_codes;
+    py::array_t<double> m_vertices;
+    py::array_t<uint8_t> m_codes;
 
     unsigned m_iterator;
     unsigned m_total_vertices;
@@ -50,38 +46,29 @@ class PathIterator
 
   public:
     inline PathIterator()
-        : m_vertices(NULL),
-          m_codes(NULL),
-          m_iterator(0),
+        : m_iterator(0),
           m_total_vertices(0),
           m_should_simplify(false),
           m_simplify_threshold(1.0 / 9.0)
     {
     }
 
-    inline PathIterator(PyObject *vertices,
-                        PyObject *codes,
-                        bool should_simplify,
+    inline PathIterator(py::object vertices, py::object codes, bool should_simplify,
                         double simplify_threshold)
-        : m_vertices(NULL), m_codes(NULL), m_iterator(0)
+        : m_iterator(0)
     {
-        if (!set(vertices, codes, should_simplify, simplify_threshold))
-            throw py::exception();
+        set(vertices, codes, should_simplify, simplify_threshold);
     }
 
-    inline PathIterator(PyObject *vertices, PyObject *codes)
-        : m_vertices(NULL), m_codes(NULL), m_iterator(0)
+    inline PathIterator(py::object vertices, py::object codes)
+        : m_iterator(0)
     {
-        if (!set(vertices, codes))
-            throw py::exception();
+        set(vertices, codes);
     }
 
     inline PathIterator(const PathIterator &other)
     {
-        Py_XINCREF(other.m_vertices);
         m_vertices = other.m_vertices;
-
-        Py_XINCREF(other.m_codes);
         m_codes = other.m_codes;
 
         m_iterator = 0;
@@ -91,47 +78,32 @@ class PathIterator
         m_simplify_threshold = other.m_simplify_threshold;
     }
 
-    ~PathIterator()
-    {
-        Py_XDECREF(m_vertices);
-        Py_XDECREF(m_codes);
-    }
-
-    inline int
-    set(PyObject *vertices, PyObject *codes, bool should_simplify, double simplify_threshold)
+    inline void
+    set(py::object vertices, py::object codes, bool should_simplify, double simplify_threshold)
     {
         m_should_simplify = should_simplify;
         m_simplify_threshold = simplify_threshold;
 
-        Py_XDECREF(m_vertices);
-        m_vertices = (PyArrayObject *)PyArray_FromObject(vertices, NPY_DOUBLE, 2, 2);
-
-        if (!m_vertices || PyArray_DIM(m_vertices, 1) != 2) {
-            PyErr_SetString(PyExc_ValueError, "Invalid vertices array");
-            return 0;
+        m_vertices = vertices.cast<py::array_t<double>>();
+        if (m_vertices.ndim() != 2 || m_vertices.shape(1) != 2) {
+            throw py::value_error("Invalid vertices array");
         }
+        m_total_vertices = m_vertices.shape(0);
 
-        Py_XDECREF(m_codes);
-        m_codes = NULL;
-
-        if (codes != NULL && codes != Py_None) {
-            m_codes = (PyArrayObject *)PyArray_FromObject(codes, NPY_UINT8, 1, 1);
-
-            if (!m_codes || PyArray_DIM(m_codes, 0) != PyArray_DIM(m_vertices, 0)) {
-                PyErr_SetString(PyExc_ValueError, "Invalid codes array");
-                return 0;
+        m_codes.release().dec_ref();
+        if (!codes.is_none()) {
+            m_codes = codes.cast<py::array_t<uint8_t>>();
+            if (m_codes.ndim() != 1 || m_codes.shape(0) != m_total_vertices) {
+                throw py::value_error("Invalid codes array");
             }
         }
 
-        m_total_vertices = (unsigned)PyArray_DIM(m_vertices, 0);
         m_iterator = 0;
-
-        return 1;
     }
 
-    inline int set(PyObject *vertices, PyObject *codes)
+    inline void set(py::object vertices, py::object codes)
     {
-        return set(vertices, codes, false, 0.0);
+        set(vertices, codes, false, 0.0);
     }
 
     inline unsigned vertex(double *x, double *y)
@@ -144,12 +116,11 @@ class PathIterator
 
         const size_t idx = m_iterator++;
 
-        char *pair = (char *)PyArray_GETPTR2(m_vertices, idx, 0);
-        *x = *(double *)pair;
-        *y = *(double *)(pair + PyArray_STRIDE(m_vertices, 1));
+        *x = *m_vertices.data(idx, 0);
+        *y = *m_vertices.data(idx, 1);
 
-        if (m_codes != NULL) {
-            return (unsigned)(*(char *)PyArray_GETPTR1(m_codes, idx));
+        if (m_codes) {
+            return *m_codes.data(idx);
         } else {
             return idx == 0 ? agg::path_cmd_move_to : agg::path_cmd_line_to;
         }
@@ -175,49 +146,31 @@ class PathIterator
         return m_simplify_threshold;
     }
 
-    inline bool has_curves() const
+    inline bool has_codes() const
     {
-        return m_codes != NULL;
+        return bool(m_codes);
     }
 
     inline void *get_id()
     {
-        return (void *)m_vertices;
+        return (void *)m_vertices.ptr();
     }
 };
 
 class PathGenerator
 {
-    PyObject *m_paths;
+    py::sequence m_paths;
     Py_ssize_t m_npaths;
 
   public:
     typedef PathIterator path_iterator;
 
-    PathGenerator(PyObject *obj) : m_paths(NULL), m_npaths(0)
-    {
-        if (!set(obj)) {
-            throw py::exception();
-        }
-    }
-
-    ~PathGenerator()
-    {
-        Py_XDECREF(m_paths);
-    }
+    PathGenerator() : m_npaths(0) {}
 
-    int set(PyObject *obj)
+    void set(py::object obj)
     {
-        if (!PySequence_Check(obj)) {
-            return 0;
-        }
-
-        m_paths = obj;
-        Py_INCREF(m_paths);
-
-        m_npaths = PySequence_Size(m_paths);
-
-        return 1;
+        m_paths = obj.cast<py::sequence>();
+        m_npaths = m_paths.size();
     }
 
     Py_ssize_t num_paths() const
@@ -233,19 +186,44 @@ class PathGenerator
     path_iterator operator()(size_t i)
     {
         path_iterator path;
-        PyObject *item;
 
-        item = PySequence_GetItem(m_paths, i % m_npaths);
-        if (item == NULL) {
-            throw py::exception();
-        }
-        if (!convert_path(item, &path)) {
-            throw py::exception();
-        }
-        Py_DECREF(item);
+        auto item = m_paths[i % m_npaths];
+        path = item.cast<path_iterator>();
         return path;
     }
 };
 }
 
+namespace PYBIND11_NAMESPACE { namespace detail {
+    template <> struct type_caster<mpl::PathIterator> {
+    public:
+        PYBIND11_TYPE_CASTER(mpl::PathIterator, const_name("PathIterator"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                return true;
+            }
+
+            py::object vertices = src.attr("vertices");
+            py::object codes = src.attr("codes");
+            auto should_simplify = src.attr("should_simplify").cast<bool>();
+            auto simplify_threshold = src.attr("simplify_threshold").cast<double>();
+
+            value.set(vertices, codes, should_simplify, simplify_threshold);
+
+            return true;
+        }
+    };
+
+    template <> struct type_caster<mpl::PathGenerator> {
+    public:
+        PYBIND11_TYPE_CASTER(mpl::PathGenerator, const_name("PathGenerator"));
+
+        bool load(handle src, bool) {
+            value.set(py::reinterpret_borrow<py::object>(src));
+            return true;
+        }
+    };
+}} // namespace PYBIND11_NAMESPACE::detail
+
 #endif
diff --git a/src/py_converters.cpp b/src/py_converters.cpp
index 42217b1108e9..1506bcfcf5b7 100644
--- a/src/py_converters.cpp
+++ b/src/py_converters.cpp
@@ -1,521 +1,22 @@
-#define NO_IMPORT_ARRAY
-
 #include "py_converters.h"
-#include "numpy_cpp.h"
-
-#include "agg_basics.h"
-#include "agg_color_rgba.h"
-#include "agg_math_stroke.h"
-
-extern "C" {
-
-static int convert_string_enum(PyObject *obj, const char *name, const char **names, int *values, int *result)
-{
-    PyObject *bytesobj;
-    char *str;
-
-    if (obj == NULL || obj == Py_None) {
-        return 1;
-    }
-
-    if (PyUnicode_Check(obj)) {
-        bytesobj = PyUnicode_AsASCIIString(obj);
-        if (bytesobj == NULL) {
-            return 0;
-        }
-    } else if (PyBytes_Check(obj)) {
-        Py_INCREF(obj);
-        bytesobj = obj;
-    } else {
-        PyErr_Format(PyExc_TypeError, "%s must be bytes or unicode", name);
-        return 0;
-    }
-
-    str = PyBytes_AsString(bytesobj);
-    if (str == NULL) {
-        Py_DECREF(bytesobj);
-        return 0;
-    }
-
-    for ( ; *names != NULL; names++, values++) {
-        if (strncmp(str, *names, 64) == 0) {
-            *result = *values;
-            Py_DECREF(bytesobj);
-            return 1;
-        }
-    }
-
-    PyErr_Format(PyExc_ValueError, "invalid %s value", name);
-    Py_DECREF(bytesobj);
-    return 0;
-}
-
-int convert_from_method(PyObject *obj, const char *name, converter func, void *p)
-{
-    PyObject *value;
-
-    value = PyObject_CallMethod(obj, (char *)name, NULL);
-    if (value == NULL) {
-        if (!PyObject_HasAttrString(obj, (char *)name)) {
-            PyErr_Clear();
-            return 1;
-        }
-        return 0;
-    }
-
-    if (!func(value, p)) {
-        Py_DECREF(value);
-        return 0;
-    }
-
-    Py_DECREF(value);
-    return 1;
-}
-
-int convert_from_attr(PyObject *obj, const char *name, converter func, void *p)
-{
-    PyObject *value;
-
-    value = PyObject_GetAttrString(obj, (char *)name);
-    if (value == NULL) {
-        if (!PyObject_HasAttrString(obj, (char *)name)) {
-            PyErr_Clear();
-            return 1;
-        }
-        return 0;
-    }
-
-    if (!func(value, p)) {
-        Py_DECREF(value);
-        return 0;
-    }
-
-    Py_DECREF(value);
-    return 1;
-}
-
-int convert_double(PyObject *obj, void *p)
-{
-    double *val = (double *)p;
-
-    *val = PyFloat_AsDouble(obj);
-    if (PyErr_Occurred()) {
-        return 0;
-    }
-
-    return 1;
-}
-
-int convert_bool(PyObject *obj, void *p)
-{
-    bool *val = (bool *)p;
-
-    *val = PyObject_IsTrue(obj);
-
-    return 1;
-}
-
-int convert_cap(PyObject *capobj, void *capp)
-{
-    const char *names[] = {"butt", "round", "projecting", NULL};
-    int values[] = {agg::butt_cap, agg::round_cap, agg::square_cap};
-    int result;
-
-    if (!convert_string_enum(capobj, "capstyle", names, values, &result)) {
-        return 0;
-    }
-
-    *(agg::line_cap_e *)capp = (agg::line_cap_e)result;
-    return 1;
-}
-
-int convert_join(PyObject *joinobj, void *joinp)
-{
-    const char *names[] = {"miter", "round", "bevel", NULL};
-    int values[] = {agg::miter_join_revert, agg::round_join, agg::bevel_join};
-    int result;
-
-    if (!convert_string_enum(joinobj, "joinstyle", names, values, &result)) {
-        return 0;
-    }
-
-    *(agg::line_join_e *)joinp = (agg::line_join_e)result;
-    return 1;
-}
-
-int convert_rect(PyObject *rectobj, void *rectp)
-{
-    agg::rect_d *rect = (agg::rect_d *)rectp;
-
-    if (rectobj == NULL || rectobj == Py_None) {
-        rect->x1 = 0.0;
-        rect->y1 = 0.0;
-        rect->x2 = 0.0;
-        rect->y2 = 0.0;
-    } else {
-        try
-        {
-            numpy::array_view<const double, 2> rect_arr(rectobj);
-
-            if (rect_arr.dim(0) != 2 || rect_arr.dim(1) != 2) {
-                PyErr_SetString(PyExc_ValueError, "Invalid bounding box");
-                return 0;
-            }
-
-            rect->x1 = rect_arr(0, 0);
-            rect->y1 = rect_arr(0, 1);
-            rect->x2 = rect_arr(1, 0);
-            rect->y2 = rect_arr(1, 1);
-        }
-        catch (py::exception)
-        {
-            PyErr_Clear();
-
-            try
-            {
-                numpy::array_view<const double, 1> rect_arr(rectobj);
-
-                if (rect_arr.dim(0) != 4) {
-                    PyErr_SetString(PyExc_ValueError, "Invalid bounding box");
-                    return 0;
-                }
-
-                rect->x1 = rect_arr(0);
-                rect->y1 = rect_arr(1);
-                rect->x2 = rect_arr(2);
-                rect->y2 = rect_arr(3);
-            }
-            catch (py::exception)
-            {
-                return 0;
-            }
-        }
-    }
-
-    return 1;
-}
-
-int convert_rgba(PyObject *rgbaobj, void *rgbap)
-{
-    agg::rgba *rgba = (agg::rgba *)rgbap;
-
-    if (rgbaobj == NULL || rgbaobj == Py_None) {
-        rgba->r = 0.0;
-        rgba->g = 0.0;
-        rgba->b = 0.0;
-        rgba->a = 0.0;
-    } else {
-        rgba->a = 1.0;
-        if (!PyArg_ParseTuple(
-                 rgbaobj, "ddd|d:rgba", &(rgba->r), &(rgba->g), &(rgba->b), &(rgba->a))) {
-            return 0;
-        }
-    }
-
-    return 1;
-}
-
-int convert_dashes(PyObject *dashobj, void *dashesp)
-{
-    Dashes *dashes = (Dashes *)dashesp;
-
-    if (dashobj == NULL && dashobj == Py_None) {
-        return 1;
-    }
-
-    PyObject *dash_offset_obj = NULL;
-    double dash_offset = 0.0;
-    PyObject *dashes_seq = NULL;
-    Py_ssize_t nentries;
-
-    if (!PyArg_ParseTuple(dashobj, "OO:dashes", &dash_offset_obj, &dashes_seq)) {
-        return 0;
-    }
-
-    if (dash_offset_obj != Py_None) {
-        dash_offset = PyFloat_AsDouble(dash_offset_obj);
-        if (PyErr_Occurred()) {
-            return 0;
-        }
-    }
-
-    if (dashes_seq == Py_None) {
-        return 1;
-    }
-
-    if (!PySequence_Check(dashes_seq)) {
-        PyErr_SetString(PyExc_TypeError, "Invalid dashes sequence");
-        return 0;
-    }
-
-    nentries = PySequence_Size(dashes_seq);
-    if (nentries % 2 != 0) {
-        PyErr_Format(PyExc_ValueError, "dashes sequence must have an even number of elements");
-        return 0;
-    }
 
-    for (Py_ssize_t i = 0; i < nentries; ++i) {
-        PyObject *item;
-        double length;
-        double skip;
-
-        item = PySequence_GetItem(dashes_seq, i);
-        if (item == NULL) {
-            return 0;
-        }
-        length = PyFloat_AsDouble(item);
-        if (PyErr_Occurred()) {
-            Py_DECREF(item);
-            return 0;
-        }
-        Py_DECREF(item);
-
-        ++i;
-
-        item = PySequence_GetItem(dashes_seq, i);
-        if (item == NULL) {
-            return 0;
-        }
-        skip = PyFloat_AsDouble(item);
-        if (PyErr_Occurred()) {
-            Py_DECREF(item);
-            return 0;
-        }
-        Py_DECREF(item);
-
-        dashes->add_dash_pair(length, skip);
-    }
-
-    dashes->set_dash_offset(dash_offset);
-
-    return 1;
-}
-
-int convert_dashes_vector(PyObject *obj, void *dashesp)
-{
-    DashesVector *dashes = (DashesVector *)dashesp;
-
-    if (!PySequence_Check(obj)) {
-        return 0;
-    }
-
-    Py_ssize_t n = PySequence_Size(obj);
-
-    for (Py_ssize_t i = 0; i < n; ++i) {
-        PyObject *item;
-        Dashes subdashes;
-
-        item = PySequence_GetItem(obj, i);
-        if (item == NULL) {
-            return 0;
-        }
-
-        if (!convert_dashes(item, &subdashes)) {
-            Py_DECREF(item);
-            return 0;
-        }
-        Py_DECREF(item);
-
-        dashes->push_back(subdashes);
-    }
-
-    return 1;
-}
-
-int convert_trans_affine(PyObject *obj, void *transp)
-{
-    agg::trans_affine *trans = (agg::trans_affine *)transp;
-
-    /** If None assume identity transform. */
-    if (obj == NULL || obj == Py_None) {
-        return 1;
-    }
-
-    try
-    {
-        numpy::array_view<const double, 2> matrix(obj);
-
-        if (matrix.dim(0) == 3 && matrix.dim(1) == 3) {
-            trans->sx = matrix(0, 0);
-            trans->shx = matrix(0, 1);
-            trans->tx = matrix(0, 2);
-
-            trans->shy = matrix(1, 0);
-            trans->sy = matrix(1, 1);
-            trans->ty = matrix(1, 2);
-
-            return 1;
-        }
-    }
-    catch (py::exception)
-    {
-        return 0;
-    }
-
-    PyErr_SetString(PyExc_ValueError, "Invalid affine transformation matrix");
-    return 0;
-}
-
-int convert_path(PyObject *obj, void *pathp)
-{
-    py::PathIterator *path = (py::PathIterator *)pathp;
-
-    PyObject *vertices_obj = NULL;
-    PyObject *codes_obj = NULL;
-    PyObject *should_simplify_obj = NULL;
-    PyObject *simplify_threshold_obj = NULL;
-    bool should_simplify;
-    double simplify_threshold;
-
-    int status = 0;
-
-    if (obj == NULL || obj == Py_None) {
-        return 1;
-    }
-
-    vertices_obj = PyObject_GetAttrString(obj, "vertices");
-    if (vertices_obj == NULL) {
-        goto exit;
-    }
-
-    codes_obj = PyObject_GetAttrString(obj, "codes");
-    if (codes_obj == NULL) {
-        goto exit;
-    }
-
-    should_simplify_obj = PyObject_GetAttrString(obj, "should_simplify");
-    if (should_simplify_obj == NULL) {
-        goto exit;
-    }
-    should_simplify = PyObject_IsTrue(should_simplify_obj);
-
-    simplify_threshold_obj = PyObject_GetAttrString(obj, "simplify_threshold");
-    if (simplify_threshold_obj == NULL) {
-        goto exit;
-    }
-    simplify_threshold = PyFloat_AsDouble(simplify_threshold_obj);
-    if (PyErr_Occurred()) {
-        goto exit;
-    }
-
-    if (!path->set(vertices_obj, codes_obj, should_simplify, simplify_threshold)) {
-        goto exit;
-    }
-
-    status = 1;
-
-exit:
-    Py_XDECREF(vertices_obj);
-    Py_XDECREF(codes_obj);
-    Py_XDECREF(should_simplify_obj);
-    Py_XDECREF(simplify_threshold_obj);
-
-    return status;
-}
-
-int convert_clippath(PyObject *clippath_tuple, void *clippathp)
+void convert_trans_affine(const py::object& transform, agg::trans_affine& affine)
 {
-    ClipPath *clippath = (ClipPath *)clippathp;
-    py::PathIterator path;
-    agg::trans_affine trans;
-
-    if (clippath_tuple != NULL && clippath_tuple != Py_None) {
-        if (!PyArg_ParseTuple(clippath_tuple,
-                              "O&O&:clippath",
-                              &convert_path,
-                              &clippath->path,
-                              &convert_trans_affine,
-                              &clippath->trans)) {
-            return 0;
-        }
+    // If None assume identity transform so leave affine unchanged
+    if (transform.is_none()) {
+        return;
     }
 
-    return 1;
-}
-
-int convert_snap(PyObject *obj, void *snapp)
-{
-    e_snap_mode *snap = (e_snap_mode *)snapp;
-
-    if (obj == NULL || obj == Py_None) {
-        *snap = SNAP_AUTO;
-    } else if (PyObject_IsTrue(obj)) {
-        *snap = SNAP_TRUE;
-    } else {
-        *snap = SNAP_FALSE;
-    }
-
-    return 1;
-}
-
-int convert_sketch_params(PyObject *obj, void *sketchp)
-{
-    SketchParams *sketch = (SketchParams *)sketchp;
-
-    if (obj == NULL || obj == Py_None) {
-        sketch->scale = 0.0;
-    } else if (!PyArg_ParseTuple(obj,
-                                 "ddd:sketch_params",
-                                 &sketch->scale,
-                                 &sketch->length,
-                                 &sketch->randomness)) {
-        return 0;
+    auto array = py::array_t<double, py::array::c_style>::ensure(transform);
+    if (!array || array.ndim() != 2 || array.shape(0) != 3 || array.shape(1) != 3) {
+        throw std::invalid_argument("Invalid affine transformation matrix");
     }
 
-    return 1;
-}
-
-int convert_gcagg(PyObject *pygc, void *gcp)
-{
-    GCAgg *gc = (GCAgg *)gcp;
-
-    if (!(convert_from_attr(pygc, "_linewidth", &convert_double, &gc->linewidth) &&
-          convert_from_attr(pygc, "_alpha", &convert_double, &gc->alpha) &&
-          convert_from_attr(pygc, "_forced_alpha", &convert_bool, &gc->forced_alpha) &&
-          convert_from_attr(pygc, "_rgb", &convert_rgba, &gc->color) &&
-          convert_from_attr(pygc, "_antialiased", &convert_bool, &gc->isaa) &&
-          convert_from_attr(pygc, "_capstyle", &convert_cap, &gc->cap) &&
-          convert_from_attr(pygc, "_joinstyle", &convert_join, &gc->join) &&
-          convert_from_attr(pygc, "_dashes", &convert_dashes, &gc->dashes) &&
-          convert_from_attr(pygc, "_cliprect", &convert_rect, &gc->cliprect) &&
-          convert_from_method(pygc, "get_clip_path", &convert_clippath, &gc->clippath) &&
-          convert_from_method(pygc, "get_snap", &convert_snap, &gc->snap_mode) &&
-          convert_from_method(pygc, "get_hatch_path", &convert_path, &gc->hatchpath) &&
-          convert_from_method(pygc, "get_sketch_params", &convert_sketch_params, &gc->sketch))) {
-        return 0;
-    }
-
-    return 1;
-}
-
-int convert_offset_position(PyObject *obj, void *offsetp)
-{
-    e_offset_position *offset = (e_offset_position *)offsetp;
-    const char *names[] = {"data", NULL};
-    int values[] = {OFFSET_POSITION_DATA};
-    int result = (int)OFFSET_POSITION_FIGURE;
-
-    if (!convert_string_enum(obj, "offset_position", names, values, &result)) {
-        PyErr_Clear();
-    }
-
-    *offset = (e_offset_position)result;
-
-    return 1;
-}
-
-int convert_face(PyObject *color, GCAgg &gc, agg::rgba *rgba)
-{
-    if (!convert_rgba(color, rgba)) {
-        return 0;
-    }
-
-    if (color != NULL && color != Py_None) {
-        if (gc.forced_alpha || PySequence_Size(color) == 3) {
-            rgba->a = gc.alpha;
-        }
-    }
-
-    return 1;
-}
+    auto buffer = array.data();
+    affine.sx = buffer[0];
+    affine.shx = buffer[1];
+    affine.tx = buffer[2];
+    affine.shy = buffer[3];
+    affine.sy = buffer[4];
+    affine.ty = buffer[5];
 }
diff --git a/src/py_converters.h b/src/py_converters.h
index 90cf454e30fb..c03df3933ed8 100644
--- a/src/py_converters.h
+++ b/src/py_converters.h
@@ -1,45 +1,151 @@
 /* -*- mode: c++; c-basic-offset: 4 -*- */
 
-#ifndef __PY_CONVERTERS_H__
-#define __PY_CONVERTERS_H__
-
-/***************************************************************************
- * This module contains a number of conversion functions from Python types
- * to C++ types.  Most of them meet the Python "converter" signature:
- *
- *    typedef int (*converter)(PyObject *, void *);
- *
- * and thus can be passed as conversion functions to PyArg_ParseTuple
- * and friends.
+#ifndef MPL_PY_CONVERTERS_H
+#define MPL_PY_CONVERTERS_H
+
+/***************************************************************************************
+ * This module contains a number of conversion functions from Python types to C++ types.
+ * Most of them meet the pybind11 type casters, and thus will automatically be applied
+ * when a C++ function parameter uses their type.
  */
 
-#include <Python.h>
-#include "numpy_cpp.h"
-#include "_backend_agg_basic_types.h"
-
-extern "C" {
-typedef int (*converter)(PyObject *, void *);
-
-int convert_from_attr(PyObject *obj, const char *name, converter func, void *p);
-int convert_from_method(PyObject *obj, const char *name, converter func, void *p);
-
-int convert_double(PyObject *obj, void *p);
-int convert_bool(PyObject *obj, void *p);
-int convert_cap(PyObject *capobj, void *capp);
-int convert_join(PyObject *joinobj, void *joinp);
-int convert_rect(PyObject *rectobj, void *rectp);
-int convert_rgba(PyObject *rgbaocj, void *rgbap);
-int convert_dashes(PyObject *dashobj, void *gcp);
-int convert_dashes_vector(PyObject *obj, void *dashesp);
-int convert_trans_affine(PyObject *obj, void *transp);
-int convert_path(PyObject *obj, void *pathp);
-int convert_clippath(PyObject *clippath_tuple, void *clippathp);
-int convert_snap(PyObject *obj, void *snapp);
-int convert_offset_position(PyObject *obj, void *offsetp);
-int convert_sketch_params(PyObject *obj, void *sketchp);
-int convert_gcagg(PyObject *pygc, void *gcp);
-
-int convert_face(PyObject *color, GCAgg &gc, agg::rgba *rgba);
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
+
+namespace py = pybind11;
+
+#include "agg_basics.h"
+#include "agg_color_rgba.h"
+#include "agg_trans_affine.h"
+#include "mplutils.h"
+
+void convert_trans_affine(const py::object& transform, agg::trans_affine& affine);
+
+inline auto convert_points(py::array_t<double> obj)
+{
+    check_trailing_shape(obj, "points", 2);
+    return obj.unchecked<2>();
+}
+
+inline auto convert_transforms(py::array_t<double> obj)
+{
+    check_trailing_shape(obj, "transforms", 3, 3);
+    return obj.unchecked<3>();
 }
 
-#endif
+inline auto convert_bboxes(py::array_t<double> obj)
+{
+    check_trailing_shape(obj, "bbox array", 2, 2);
+    return obj.unchecked<3>();
+}
+
+inline auto convert_colors(py::array_t<double> obj)
+{
+    check_trailing_shape(obj, "colors", 4);
+    return obj.unchecked<2>();
+}
+
+namespace PYBIND11_NAMESPACE { namespace detail {
+    template <> struct type_caster<agg::rect_d> {
+    public:
+        PYBIND11_TYPE_CASTER(agg::rect_d, const_name("rect_d"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                value.x1 = 0.0;
+                value.y1 = 0.0;
+                value.x2 = 0.0;
+                value.y2 = 0.0;
+                return true;
+            }
+
+            auto rect_arr = py::array_t<double>::ensure(src);
+
+            if (rect_arr.ndim() == 2) {
+                if (rect_arr.shape(0) != 2 || rect_arr.shape(1) != 2) {
+                    throw py::value_error("Invalid bounding box");
+                }
+
+                value.x1 = *rect_arr.data(0, 0);
+                value.y1 = *rect_arr.data(0, 1);
+                value.x2 = *rect_arr.data(1, 0);
+                value.y2 = *rect_arr.data(1, 1);
+
+            } else if (rect_arr.ndim() == 1) {
+                if (rect_arr.shape(0) != 4) {
+                    throw py::value_error("Invalid bounding box");
+                }
+
+                value.x1 = *rect_arr.data(0);
+                value.y1 = *rect_arr.data(1);
+                value.x2 = *rect_arr.data(2);
+                value.y2 = *rect_arr.data(3);
+
+            } else {
+                throw py::value_error("Invalid bounding box");
+            }
+
+            return true;
+        }
+    };
+
+    template <> struct type_caster<agg::rgba> {
+    public:
+        PYBIND11_TYPE_CASTER(agg::rgba, const_name("rgba"));
+
+        bool load(handle src, bool) {
+            if (src.is_none()) {
+                value.r = 0.0;
+                value.g = 0.0;
+                value.b = 0.0;
+                value.a = 0.0;
+            } else {
+                auto rgbatuple = src.cast<py::tuple>();
+                value.r = rgbatuple[0].cast<double>();
+                value.g = rgbatuple[1].cast<double>();
+                value.b = rgbatuple[2].cast<double>();
+                switch (rgbatuple.size()) {
+                case 4:
+                    value.a = rgbatuple[3].cast<double>();
+                    break;
+                case 3:
+                    value.a = 1.0;
+                    break;
+                default:
+                    throw py::value_error("RGBA value must be 3- or 4-tuple");
+                }
+            }
+            return true;
+        }
+    };
+
+    template <> struct type_caster<agg::trans_affine> {
+    public:
+        PYBIND11_TYPE_CASTER(agg::trans_affine, const_name("trans_affine"));
+
+        bool load(handle src, bool) {
+            // If None assume identity transform so leave affine unchanged
+            if (src.is_none()) {
+                return true;
+            }
+
+            auto array = py::array_t<double, py::array::c_style>::ensure(src);
+            if (!array || array.ndim() != 2 ||
+                    array.shape(0) != 3 || array.shape(1) != 3) {
+                throw std::invalid_argument("Invalid affine transformation matrix");
+            }
+
+            auto buffer = array.data();
+            value.sx = buffer[0];
+            value.shx = buffer[1];
+            value.tx = buffer[2];
+            value.shy = buffer[3];
+            value.sy = buffer[4];
+            value.ty = buffer[5];
+
+            return true;
+        }
+    };
+}} // namespace PYBIND11_NAMESPACE::detail
+
+#endif /* MPL_PY_CONVERTERS_H */
diff --git a/src/py_exceptions.h b/src/py_exceptions.h
deleted file mode 100644
index 82dd94dedcab..000000000000
--- a/src/py_exceptions.h
+++ /dev/null
@@ -1,72 +0,0 @@
-/* -*- mode: c++; c-basic-offset: 4 -*- */
-
-#ifndef __PY_EXCEPTIONS_H__
-#define __PY_EXCEPTIONS_H__
-
-#include <exception>
-#include <stdexcept>
-
-namespace py
-{
-class exception : public std::exception
-{
-  public:
-    const char *what() const throw()
-    {
-        return "python error has been set";
-    }
-};
-}
-
-#define CALL_CPP_FULL(name, a, cleanup, errorcode)                                                 \
-    try                                                                                            \
-    {                                                                                              \
-        a;                                                                                         \
-    }                                                                                              \
-    catch (const py::exception &e)                                                                 \
-    {                                                                                              \
-        {                                                                                          \
-            cleanup;                                                                               \
-        }                                                                                          \
-        return (errorcode);                                                                        \
-    }                                                                                              \
-    catch (const std::bad_alloc)                                                                   \
-    {                                                                                              \
-        PyErr_Format(PyExc_MemoryError, "In %s: Out of memory", (name));                         \
-        {                                                                                          \
-            cleanup;                                                                               \
-        }                                                                                          \
-        return (errorcode);                                                                        \
-    }                                                                                              \
-    catch (const std::overflow_error &e)                                                           \
-    {                                                                                              \
-        PyErr_Format(PyExc_OverflowError, "In %s: %s", (name), e.what());                        \
-        {                                                                                          \
-            cleanup;                                                                               \
-        }                                                                                          \
-        return (errorcode);                                                                        \
-    }                                                                                              \
-    catch (char const *e)                                                                          \
-    {                                                                                              \
-        PyErr_Format(PyExc_RuntimeError, "In %s: %s", (name), e);                                \
-        {                                                                                          \
-            cleanup;                                                                               \
-        }                                                                                          \
-        return (errorcode);                                                                        \
-    }                                                                                              \
-    catch (...)                                                                                    \
-    {                                                                                              \
-        PyErr_Format(PyExc_RuntimeError, "Unknown exception in %s", (name));                       \
-        {                                                                                          \
-            cleanup;                                                                               \
-        }                                                                                          \
-        return (errorcode);                                                                        \
-    }
-
-#define CALL_CPP_CLEANUP(name, a, cleanup) CALL_CPP_FULL(name, a, cleanup, NULL)
-
-#define CALL_CPP(name, a) CALL_CPP_FULL(name, a, , NULL)
-
-#define CALL_CPP_INIT(name, a) CALL_CPP_FULL(name, a, , -1)
-
-#endif
diff --git a/src/qhull_wrap.c b/src/qhull_wrap.c
deleted file mode 100644
index 3a24a7514551..000000000000
--- a/src/qhull_wrap.c
+++ /dev/null
@@ -1,363 +0,0 @@
-/*
- * Wrapper module for libqhull, providing Delaunay triangulation.
- *
- * This module's methods should not be accessed directly.  To obtain a Delaunay
- * triangulation, construct an instance of the matplotlib.tri.Triangulation
- * class without specifying a triangles array.
- */
-#include "Python.h"
-#include "numpy/noprefix.h"
-#include "qhull/qhull_a.h"
-#include <stdio.h>
-
-
-#if PY_MAJOR_VERSION >= 3
-#define PY3K 1
-#else
-#define PY3K 0
-#endif
-
-#ifndef MPL_DEVNULL
-#error "MPL_DEVNULL must be defined as the OS-equivalent of /dev/null"
-#endif
-
-#define STRINGIFY(x) STR(x)
-#define STR(x) #x
-
-
-static const char* qhull_error_msg[6] = {
-    "",                     /* 0 = qh_ERRnone */
-    "input inconsistency",  /* 1 = qh_ERRinput */
-    "singular input data",  /* 2 = qh_ERRsingular */
-    "precision error",      /* 3 = qh_ERRprec */
-    "insufficient memory",  /* 4 = qh_ERRmem */
-    "internal error"};      /* 5 = qh_ERRqhull */
-
-
-/* Return the indices of the 3 vertices that comprise the specified facet (i.e.
- * triangle). */
-static void
-get_facet_vertices(const facetT* facet, int indices[3])
-{
-    vertexT *vertex, **vertexp;
-    FOREACHvertex_(facet->vertices)
-        *indices++ = qh_pointid(vertex->point);
-}
-
-/* Return the indices of the 3 triangles that are neighbors of the specified
- * facet (triangle). */
-static void
-get_facet_neighbours(const facetT* facet, const int* tri_indices,
-                     int indices[3])
-{
-    facetT *neighbor, **neighborp;
-    FOREACHneighbor_(facet)
-        *indices++ = (neighbor->upperdelaunay ? -1 : tri_indices[neighbor->id]);
-}
-
-/* Return 1 if the specified points arrays contain at least 3 unique points,
- * or 0 otherwise. */
-static int
-at_least_3_unique_points(int npoints, const double* x, const double* y)
-{
-    int i;
-    const int unique1 = 0;  /* First unique point has index 0. */
-    int unique2 = 0;        /* Second unique point index is 0 until set. */
-
-    if (npoints < 3)
-        return 0;
-
-    for (i = 1; i < npoints; ++i) {
-        if (unique2 == 0) {
-            /* Looking for second unique point. */
-            if (x[i] != x[unique1] || y[i] != y[unique1])
-                unique2 = i;
-        }
-        else {
-            /* Looking for third unique point. */
-            if ( (x[i] != x[unique1] || y[i] != y[unique1]) &&
-                 (x[i] != x[unique2] || y[i] != y[unique2]) ) {
-                /* 3 unique points found, with indices 0, unique2 and i. */
-                return 1;
-            }
-        }
-    }
-
-    /* Run out of points before 3 unique points found. */
-    return 0;
-}
-
-/* Delaunay implementation methyod.  If hide_qhull_errors is 1 then qhull error
- * messages are discarded; if it is 0 then they are written to stderr. */
-static PyObject*
-delaunay_impl(int npoints, const double* x, const double* y,
-              int hide_qhull_errors)
-{
-    coordT* points = NULL;
-    facetT* facet;
-    int i, ntri, max_facet_id;
-    FILE* error_file = NULL;    /* qhull expects a FILE* to write errors to. */
-    int exitcode;               /* Value returned from qh_new_qhull(). */
-    int* tri_indices = NULL;    /* Maps qhull facet id to triangle index. */
-    int indices[3];
-    int curlong, totlong;       /* Memory remaining after qh_memfreeshort. */
-    PyObject* tuple;            /* Return tuple (triangles, neighbors). */
-    const int ndim = 2;
-    npy_intp dims[2];
-    PyArrayObject* triangles = NULL;
-    PyArrayObject* neighbors = NULL;
-    int* triangles_ptr;
-    int* neighbors_ptr;
-
-    /* Allocate points. */
-    points = (coordT*)malloc(npoints*ndim*sizeof(coordT));
-    if (points == NULL) {
-        PyErr_SetString(PyExc_MemoryError,
-                        "Could not allocate points array in qhull.delaunay");
-        goto error_before_qhull;
-    }
-
-    /* Prepare points array to pass to qhull. */
-    for (i = 0; i < npoints; ++i) {
-        points[2*i  ] = x[i];
-        points[2*i+1] = y[i];
-    }
-
-    /* qhull expects a FILE* to write errors to. */
-    if (hide_qhull_errors) {
-        /* qhull errors are ignored by writing to OS-equivalent of /dev/null.
-         * Rather than have OS-specific code here, instead it is determined by
-         * setupext.py and passed in via the macro MPL_DEVNULL. */
-        error_file = fopen(STRINGIFY(MPL_DEVNULL), "w");
-        if (error_file == NULL) {
-            PyErr_SetString(PyExc_RuntimeError,
-                            "Could not open devnull in qhull.delaunay");
-            goto error_before_qhull;
-        }
-    }
-    else {
-        /* qhull errors written to stderr. */
-        error_file = stderr;
-    }
-
-    /* Perform Delaunay triangulation. */
-    exitcode = qh_new_qhull(ndim, npoints, points, False,
-                            "qhull d Qt Qbb Qc Qz", NULL, error_file);
-    if (exitcode != qh_ERRnone) {
-        PyErr_Format(PyExc_RuntimeError,
-                     "Error in qhull Delaunay triangulation calculation: %s (exitcode=%d)%s",
-                     qhull_error_msg[exitcode], exitcode,
-                     hide_qhull_errors ? "; use python verbose option (-v) to see original qhull error." : "");
-        goto error;
-    }
-
-    /* Split facets so that they only have 3 points each. */
-    qh_triangulate();
-
-    /* Determine ntri and max_facet_id.
-       Note that libqhull uses macros to iterate through collections. */
-    ntri = 0;
-    FORALLfacets {
-        if (!facet->upperdelaunay)
-            ++ntri;
-    }
-
-    max_facet_id = qh facet_id - 1;
-
-    /* Create array to map facet id to triangle index. */
-    tri_indices = (int*)malloc((max_facet_id+1)*sizeof(int));
-    if (tri_indices == NULL) {
-        PyErr_SetString(PyExc_MemoryError,
-                        "Could not allocate triangle map in qhull.delaunay");
-        goto error;
-    }
-
-    /* Allocate python arrays to return. */
-    dims[0] = ntri;
-    dims[1] = 3;
-    triangles = (PyArrayObject*)PyArray_SimpleNew(ndim, dims, NPY_INT);
-    if (triangles == NULL) {
-        PyErr_SetString(PyExc_MemoryError,
-                        "Could not allocate triangles array in qhull.delaunay");
-        goto error;
-    }
-
-    neighbors = (PyArrayObject*)PyArray_SimpleNew(ndim, dims, NPY_INT);
-    if (neighbors == NULL) {
-        PyErr_SetString(PyExc_MemoryError,
-                        "Could not allocate neighbors array in qhull.delaunay");
-        goto error;
-    }
-
-    triangles_ptr = (int*)PyArray_DATA(triangles);
-    neighbors_ptr = (int*)PyArray_DATA(neighbors);
-
-    /* Determine triangles array and set tri_indices array. */
-    i = 0;
-    FORALLfacets {
-        if (!facet->upperdelaunay) {
-            tri_indices[facet->id] = i++;
-            get_facet_vertices(facet, indices);
-            *triangles_ptr++ = (facet->toporient ? indices[0] : indices[2]);
-            *triangles_ptr++ = indices[1];
-            *triangles_ptr++ = (facet->toporient ? indices[2] : indices[0]);
-        }
-        else
-            tri_indices[facet->id] = -1;
-    }
-
-    /* Determine neighbors array. */
-    FORALLfacets {
-        if (!facet->upperdelaunay) {
-            get_facet_neighbours(facet, tri_indices, indices);
-            *neighbors_ptr++ = (facet->toporient ? indices[2] : indices[0]);
-            *neighbors_ptr++ = (facet->toporient ? indices[0] : indices[2]);
-            *neighbors_ptr++ = indices[1];
-        }
-    }
-
-    /* Clean up. */
-    qh_freeqhull(!qh_ALL);
-    qh_memfreeshort(&curlong, &totlong);
-    if (curlong || totlong)
-        PyErr_WarnEx(PyExc_RuntimeWarning,
-                     "Qhull could not free all allocated memory", 1);
-    if (hide_qhull_errors)
-        fclose(error_file);
-    free(tri_indices);
-    free(points);
-
-    tuple = PyTuple_New(2);
-    PyTuple_SetItem(tuple, 0, (PyObject*)triangles);
-    PyTuple_SetItem(tuple, 1, (PyObject*)neighbors);
-    return tuple;
-
-error:
-    /* Clean up. */
-    Py_XDECREF(triangles);
-    Py_XDECREF(neighbors);
-    qh_freeqhull(!qh_ALL);
-    qh_memfreeshort(&curlong, &totlong);
-    /* Don't bother checking curlong and totlong as raising error anyway. */
-    if (hide_qhull_errors)
-        fclose(error_file);
-    free(tri_indices);
-
-error_before_qhull:
-    free(points);
-
-    return NULL;
-}
-
-/* Process python arguments and call Delaunay implementation method. */
-static PyObject*
-delaunay(PyObject *self, PyObject *args)
-{
-    PyObject* xarg;
-    PyObject* yarg;
-    PyArrayObject* xarray;
-    PyArrayObject* yarray;
-    PyObject* ret;
-    int npoints;
-    const double* x;
-    const double* y;
-
-    if (!PyArg_ParseTuple(args, "OO", &xarg, &yarg)) {
-        PyErr_SetString(PyExc_ValueError, "expecting x and y arrays");
-        return NULL;
-    }
-
-    xarray = (PyArrayObject*)PyArray_ContiguousFromObject(xarg, NPY_DOUBLE,
-                                                          1, 1);
-    yarray = (PyArrayObject*)PyArray_ContiguousFromObject(yarg, NPY_DOUBLE,
-                                                          1, 1);
-    if (xarray == 0 || yarray == 0 ||
-        PyArray_DIM(xarray,0) != PyArray_DIM(yarray, 0)) {
-        Py_XDECREF(xarray);
-        Py_XDECREF(yarray);
-        PyErr_SetString(PyExc_ValueError,
-                        "x and y must be 1D arrays of the same length");
-        return NULL;
-    }
-
-    npoints = PyArray_DIM(xarray, 0);
-
-    if (npoints < 3) {
-        Py_XDECREF(xarray);
-        Py_XDECREF(yarray);
-        PyErr_SetString(PyExc_ValueError,
-                        "x and y arrays must have a length of at least 3");
-        return NULL;
-    }
-
-    x = (const double*)PyArray_DATA(xarray);
-    y = (const double*)PyArray_DATA(yarray);
-
-    if (!at_least_3_unique_points(npoints, x, y)) {
-        Py_XDECREF(xarray);
-        Py_XDECREF(yarray);
-        PyErr_SetString(PyExc_ValueError,
-                        "x and y arrays must consist of at least 3 unique points");
-        return NULL;
-    }
-
-    ret = delaunay_impl(npoints, x, y, Py_VerboseFlag == 0);
-
-    Py_XDECREF(xarray);
-    Py_XDECREF(yarray);
-    return ret;
-}
-
-/* Return qhull version string for assistance in debugging. */
-static PyObject*
-version()
-{
-    return PyBytes_FromString(qh_version);
-}
-
-static PyMethodDef qhull_methods[] = {
-    {"delaunay", (PyCFunction)delaunay, METH_VARARGS, ""},
-    {"version", (PyCFunction)version, METH_NOARGS, ""},
-    {NULL, NULL, 0, NULL}
-};
-
-#if PY3K
-static struct PyModuleDef qhull_module = {
-    PyModuleDef_HEAD_INIT,
-    "qhull",
-    "Computing Delaunay triangulations.\n",
-    -1,
-    qhull_methods,
-    NULL, NULL, NULL, NULL
-};
-
-#define ERROR_RETURN return NULL
-
-PyMODINIT_FUNC
-PyInit__qhull(void)
-#else
-#define ERROR_RETURN return
-
-PyMODINIT_FUNC
-init_qhull(void)
-#endif
-{
-    PyObject* m;
-
-    #if PY3K
-        m = PyModule_Create(&qhull_module);
-    #else
-        m = Py_InitModule3("_qhull", qhull_methods,
-                           "Computing Delaunay triangulations.\n");
-    #endif
-
-    if (m == NULL) {
-        ERROR_RETURN;
-    }
-
-    import_array();
-
-    #if PY3K
-        return m;
-    #endif
-}
diff --git a/lib/matplotlib/tri/_tri.cpp b/src/tri/_tri.cpp
similarity index 78%
rename from lib/matplotlib/tri/_tri.cpp
rename to src/tri/_tri.cpp
index d17060b5aae1..b74fcbec26fc 100644
--- a/lib/matplotlib/tri/_tri.cpp
+++ b/src/tri/_tri.cpp
@@ -1,21 +1,15 @@
-/* This file contains liberal use of asserts to assist code development and
- * debugging.  Standard matplotlib builds disable asserts so they cause no
- * performance reduction.  To enable the asserts, you need to undefine the
- * NDEBUG macro, which is achieved by adding the following
- *     undef_macros=['NDEBUG']
- * to the appropriate make_extension call in setupext.py, and then rebuilding.
+/* This file contains liberal use of asserts to assist code development and debugging.
+ * Standard Matplotlib builds disable asserts so they cause no performance reduction. To
+ * enable the asserts, you need to undefine the NDEBUG macro, which is achieved by
+ * passing ``b_ndebug=false`` to the Meson configuration.
  */
-#define NO_IMPORT_ARRAY
-
+#include "../mplutils.h"
 #include "_tri.h"
 
 #include <algorithm>
+#include <random>
 #include <set>
 
-#define MOVETO 1
-#define LINETO 2
-
-
 
 TriEdge::TriEdge()
     : tri(-1), edge(-1)
@@ -50,8 +44,7 @@ std::ostream& operator<<(std::ostream& os, const TriEdge& tri_edge)
 
 
 
-XY::XY()
-{}
+XY::XY() = default;
 
 XY::XY(const double& x_, const double& y_)
     : x(x_), y(y_)
@@ -137,11 +130,6 @@ double XYZ::dot(const XYZ& other) const
     return x*other.x + y*other.y + z*other.z;
 }
 
-double XYZ::length_squared() const
-{
-    return x*x + y*y + z*z;
-}
-
 XYZ XYZ::operator-(const XYZ& other) const
 {
     return XYZ(x - other.x, y - other.y, z - other.z);
@@ -155,7 +143,7 @@ std::ostream& operator<<(std::ostream& os, const XYZ& xyz)
 
 
 BoundingBox::BoundingBox()
-    : empty(true)
+    : empty(true), lower(0.0, 0.0), upper(0.0, 0.0)
 {}
 
 void BoundingBox::add(const XY& point)
@@ -186,12 +174,6 @@ ContourLine::ContourLine()
     : std::vector<XY>()
 {}
 
-void ContourLine::insert_unique(iterator pos, const XY& point)
-{
-    if (empty() || pos == end() || point != *pos)
-        std::vector<XY>::insert(pos, point);
-}
-
 void ContourLine::push_back(const XY& point)
 {
     if (empty() || point != back())
@@ -201,8 +183,9 @@ void ContourLine::push_back(const XY& point)
 void ContourLine::write() const
 {
     std::cout << "ContourLine of " << size() << " points:";
-    for (const_iterator it = begin(); it != end(); ++it)
-        std::cout << ' ' << *it;
+    for (const auto & it : *this) {
+        std::cout << ' ' << it;
+    }
     std::cout << std::endl;
 }
 
@@ -211,8 +194,9 @@ void ContourLine::write() const
 void write_contour(const Contour& contour)
 {
     std::cout << "Contour of " << contour.size() << " lines." << std::endl;
-    for (Contour::const_iterator it = contour.begin(); it != contour.end(); ++it)
-        it->write();
+    for (const auto & it : contour) {
+        it.write();
+    }
 }
 
 
@@ -222,7 +206,8 @@ Triangulation::Triangulation(const CoordinateArray& x,
                              const TriangleArray& triangles,
                              const MaskArray& mask,
                              const EdgeArray& edges,
-                             const NeighborArray& neighbors)
+                             const NeighborArray& neighbors,
+                             bool correct_triangle_orientations)
     : _x(x),
       _y(y),
       _triangles(triangles),
@@ -230,7 +215,31 @@ Triangulation::Triangulation(const CoordinateArray& x,
       _edges(edges),
       _neighbors(neighbors)
 {
-    correct_triangles();
+    if (_x.ndim() != 1 || _y.ndim() != 1 || _x.shape(0) != _y.shape(0))
+        throw std::invalid_argument("x and y must be 1D arrays of the same length");
+
+    if (_triangles.ndim() != 2 || _triangles.shape(1) != 3)
+        throw std::invalid_argument("triangles must be a 2D array of shape (?,3)");
+
+    // Optional mask.
+    if (_mask.size() > 0 &&
+        (_mask.ndim() != 1 || _mask.shape(0) != _triangles.shape(0)))
+        throw std::invalid_argument(
+            "mask must be a 1D array with the same length as the triangles array");
+
+    // Optional edges.
+    if (_edges.size() > 0 &&
+        (_edges.ndim() != 2 || _edges.shape(1) != 2))
+        throw std::invalid_argument("edges must be a 2D array with shape (?,2)");
+
+    // Optional neighbors.
+    if (_neighbors.size() > 0 &&
+        (_neighbors.ndim() != 2 || _neighbors.shape() != _triangles.shape()))
+        throw std::invalid_argument(
+            "neighbors must be a 2D array with the same shape as the triangles array");
+
+    if (correct_triangle_orientations)
+        correct_triangles();
 }
 
 void Triangulation::calculate_boundaries()
@@ -256,14 +265,13 @@ void Triangulation::calculate_boundaries()
     // time, initialise the _tri_edge_to_boundary_map.
     while (!boundary_edges.empty()) {
         // Start of new boundary.
-        BoundaryEdges::iterator it = boundary_edges.begin();
+        auto it = boundary_edges.cbegin();
         int tri = it->tri;
         int edge = it->edge;
-        _boundaries.push_back(Boundary());
-        Boundary& boundary = _boundaries.back();
+        Boundary& boundary = _boundaries.emplace_back();
 
         while (true) {
-            boundary.push_back(TriEdge(tri, edge));
+            boundary.emplace_back(tri, edge);
             boundary_edges.erase(it);
             _tri_edge_to_boundary_map[TriEdge(tri, edge)] =
                 BoundaryEdge(_boundaries.size()-1, boundary.size()-1);
@@ -291,7 +299,7 @@ void Triangulation::calculate_boundaries()
 
 void Triangulation::calculate_edges()
 {
-    assert(_edges.empty() && "Expected empty edges array");
+    assert(!has_edges() && "Expected empty edges array");
 
     // Create set of all edges, storing them with start point index less than
     // end point index.
@@ -308,29 +316,28 @@ void Triangulation::calculate_edges()
     }
 
     // Convert to python _edges array.
-    npy_intp dims[2] = {static_cast<npy_intp>(edge_set.size()), 2};
+    py::ssize_t dims[2] = {static_cast<py::ssize_t>(edge_set.size()), 2};
     _edges = EdgeArray(dims);
+    auto edges = _edges.mutable_data();
 
     int i = 0;
-    for (EdgeSet::const_iterator it = edge_set.begin(); it != edge_set.end(); ++it) {
-        _edges(i,   0) = it->start;
-        _edges(i++, 1) = it->end;
+    for (const auto & it : edge_set) {
+        edges[i++] = it.start;
+        edges[i++] = it.end;
     }
 }
 
 void Triangulation::calculate_neighbors()
 {
-    assert(_neighbors.empty() && "Expected empty neighbors array");
+    assert(!has_neighbors() && "Expected empty neighbors array");
 
     // Create _neighbors array with shape (ntri,3) and initialise all to -1.
-    npy_intp dims[2] = {get_ntri(), 3};
+    py::ssize_t dims[2] = {get_ntri(), 3};
     _neighbors = NeighborArray(dims);
+    auto* neighbors = _neighbors.mutable_data();
 
     int tri, edge;
-    for (tri = 0; tri < get_ntri(); ++tri) {
-        for (edge = 0; edge < 3; ++edge)
-            _neighbors(tri, edge) = -1;
-    }
+    std::fill(neighbors, neighbors+3*get_ntri(), -1);
 
     // For each triangle edge (start to end point), find corresponding neighbor
     // edge from end to start point.  Do this by traversing all edges and
@@ -344,8 +351,7 @@ void Triangulation::calculate_neighbors()
             for (edge = 0; edge < 3; ++edge) {
                 int start = get_triangle_point(tri, edge);
                 int end   = get_triangle_point(tri, (edge+1)%3);
-                EdgeToTriEdgeMap::iterator it =
-                    edge_to_tri_edge_map.find(Edge(end,start));
+                const auto it = edge_to_tri_edge_map.find(Edge(end, start));
                 if (it == edge_to_tri_edge_map.end()) {
                     // No neighbor edge exists in the edge_to_tri_edge_map, so
                     // add this edge to it.
@@ -353,8 +359,8 @@ void Triangulation::calculate_neighbors()
                 } else {
                     // Neighbor edge found, set the two elements of _neighbors
                     // and remove edge from edge_to_tri_edge_map.
-                    _neighbors(tri, edge)= it->second.tri;
-                    _neighbors(it->second.tri, it->second.edge) = tri;
+                    neighbors[3*tri + edge] = it->second.tri;
+                    neighbors[3*it->second.tri + it->second.edge] = tri;
                     edge_to_tri_edge_map.erase(it);
                 }
             }
@@ -368,8 +374,17 @@ void Triangulation::calculate_neighbors()
 Triangulation::TwoCoordinateArray Triangulation::calculate_plane_coefficients(
     const CoordinateArray& z)
 {
-    npy_intp dims[2] = {get_ntri(), 3};
-    Triangulation::TwoCoordinateArray planes(dims);
+    if (z.ndim() != 1 || z.shape(0) != _x.shape(0))
+        throw std::invalid_argument(
+            "z must be a 1D array with the same length as the triangulation x and y arrays");
+
+    int dims[2] = {get_ntri(), 3};
+    Triangulation::TwoCoordinateArray planes_array(dims);
+    auto planes = planes_array.mutable_unchecked<2>();
+    auto triangles = _triangles.unchecked<2>();
+    auto x = _x.unchecked<1>();
+    auto y = _y.unchecked<1>();
+    auto z_ptr = z.unchecked<1>();
 
     int point;
     for (int tri = 0; tri < get_ntri(); ++tri) {
@@ -386,12 +401,12 @@ Triangulation::TwoCoordinateArray Triangulation::calculate_plane_coefficients(
             // and rearrange to give
             // r_z = (-normal_x/normal_z)*r_x + (-normal_y/normal_z)*r_y +
             //       p/normal_z
-            point = _triangles(tri, 0);
-            XYZ point0(_x(point), _y(point), z(point));
-            point = _triangles(tri, 1);
-            XYZ side01 = XYZ(_x(point), _y(point), z(point)) - point0;
-            point = _triangles(tri, 2);
-            XYZ side02 = XYZ(_x(point), _y(point), z(point)) - point0;
+            point = triangles(tri, 0);
+            XYZ point0(x(point), y(point), z_ptr(point));
+            point = triangles(tri, 1);
+            XYZ side01 = XYZ(x(point), y(point), z_ptr(point)) - point0;
+            point = triangles(tri, 2);
+            XYZ side02 = XYZ(x(point), y(point), z_ptr(point)) - point0;
 
             XYZ normal = side01.cross(side02);
 
@@ -415,20 +430,23 @@ Triangulation::TwoCoordinateArray Triangulation::calculate_plane_coefficients(
         }
     }
 
-    return planes;
+    return planes_array;
 }
 
 void Triangulation::correct_triangles()
 {
+    auto triangles = _triangles.mutable_data();
+    auto neighbors = _neighbors.mutable_data();
+
     for (int tri = 0; tri < get_ntri(); ++tri) {
-        XY point0 = get_point_coords(_triangles(tri, 0));
-        XY point1 = get_point_coords(_triangles(tri, 1));
-        XY point2 = get_point_coords(_triangles(tri, 2));
+        XY point0 = get_point_coords(triangles[3*tri]);
+        XY point1 = get_point_coords(triangles[3*tri+1]);
+        XY point2 = get_point_coords(triangles[3*tri+2]);
         if ( (point1 - point0).cross_z(point2 - point0) < 0.0) {
             // Triangle points are clockwise, so change them to anticlockwise.
-            std::swap(_triangles(tri, 1), _triangles(tri, 2));
-            if (!_neighbors.empty())
-                std::swap(_neighbors(tri, 1), _neighbors(tri, 2));
+            std::swap(triangles[3*tri+1], triangles[3*tri+2]);
+            if (has_neighbors())
+                std::swap(neighbors[3*tri+1], neighbors[3*tri+2]);
         }
     }
 }
@@ -445,10 +463,8 @@ void Triangulation::get_boundary_edge(const TriEdge& triEdge,
                                       int& edge) const
 {
     get_boundaries();  // Ensure _tri_edge_to_boundary_map has been created.
-    TriEdgeToBoundaryMap::const_iterator it =
-        _tri_edge_to_boundary_map.find(triEdge);
-    assert(it != _tri_edge_to_boundary_map.end() &&
-           "TriEdge is not on a boundary");
+    const auto it = _tri_edge_to_boundary_map.find(triEdge);
+    assert(it != _tri_edge_to_boundary_map.end() && "TriEdge is not on a boundary");
     boundary = it->second.boundary;
     edge = it->second.edge;
 }
@@ -457,8 +473,11 @@ int Triangulation::get_edge_in_triangle(int tri, int point) const
 {
     assert(tri >= 0 && tri < get_ntri() && "Triangle index out of bounds");
     assert(point >= 0 && point < get_npoints() && "Point index out of bounds.");
+
+    auto triangles = _triangles.data();
+
     for (int edge = 0; edge < 3; ++edge) {
-        if (_triangles(tri, edge) == point)
+        if (triangles[3*tri + edge] == point)
             return edge;
     }
     return -1;  // point is not in triangle.
@@ -466,7 +485,7 @@ int Triangulation::get_edge_in_triangle(int tri, int point) const
 
 Triangulation::EdgeArray& Triangulation::get_edges()
 {
-    if (_edges.empty())
+    if (!has_edges())
         calculate_edges();
     return _edges;
 }
@@ -475,9 +494,9 @@ int Triangulation::get_neighbor(int tri, int edge) const
 {
     assert(tri >= 0 && tri < get_ntri() && "Triangle index out of bounds");
     assert(edge >= 0 && edge < 3 && "Edge index out of bounds");
-    if (_neighbors.empty())
+    if (!has_neighbors())
         const_cast<Triangulation&>(*this).calculate_neighbors();
-    return _neighbors(tri, edge);
+    return _neighbors.data()[3*tri + edge];
 }
 
 TriEdge Triangulation::get_neighbor_edge(int tri, int edge) const
@@ -494,32 +513,32 @@ TriEdge Triangulation::get_neighbor_edge(int tri, int edge) const
 
 Triangulation::NeighborArray& Triangulation::get_neighbors()
 {
-    if (_neighbors.empty())
+    if (!has_neighbors())
         calculate_neighbors();
     return _neighbors;
 }
 
 int Triangulation::get_npoints() const
 {
-    return _x.size();
+    return _x.shape(0);
 }
 
 int Triangulation::get_ntri() const
 {
-    return _triangles.size();
+    return _triangles.shape(0);
 }
 
 XY Triangulation::get_point_coords(int point) const
 {
     assert(point >= 0 && point < get_npoints() && "Point index out of bounds.");
-    return XY(_x(point), _y(point));
+    return XY(_x.data()[point], _y.data()[point]);
 }
 
 int Triangulation::get_triangle_point(int tri, int edge) const
 {
     assert(tri >= 0 && tri < get_ntri() && "Triangle index out of bounds");
     assert(edge >= 0 && edge < 3 && "Edge index out of bounds");
-    return _triangles(tri, edge);
+    return _triangles.data()[3*tri + edge];
 }
 
 int Triangulation::get_triangle_point(const TriEdge& tri_edge) const
@@ -527,15 +546,34 @@ int Triangulation::get_triangle_point(const TriEdge& tri_edge) const
     return get_triangle_point(tri_edge.tri, tri_edge.edge);
 }
 
+bool Triangulation::has_edges() const
+{
+    return _edges.size() > 0;
+}
+
+bool Triangulation::has_mask() const
+{
+    return _mask.size() > 0;
+}
+
+bool Triangulation::has_neighbors() const
+{
+    return _neighbors.size() > 0;
+}
+
 bool Triangulation::is_masked(int tri) const
 {
     assert(tri >= 0 && tri < get_ntri() && "Triangle index out of bounds.");
-    const npy_bool* mask_ptr = reinterpret_cast<const npy_bool*>(_mask.data());
-    return !_mask.empty() && mask_ptr[tri];
+    return has_mask() && _mask.data()[tri];
 }
 
 void Triangulation::set_mask(const MaskArray& mask)
 {
+    if (mask.size() > 0 &&
+        (mask.ndim() != 1 || mask.shape(0) != _triangles.shape(0)))
+        throw std::invalid_argument(
+            "mask must be a 1D array with the same length as the triangles array");
+
     _mask = mask;
 
     // Clear derived fields so they are recalculated when needed.
@@ -546,13 +584,12 @@ void Triangulation::set_mask(const MaskArray& mask)
 
 void Triangulation::write_boundaries() const
 {
-    const Boundaries& bs = get_boundaries();
-    std::cout << "Number of boundaries: " << bs.size() << std::endl;
-    for (Boundaries::const_iterator it = bs.begin(); it != bs.end(); ++it) {
-        const Boundary& b = *it;
-        std::cout << "  Boundary of " << b.size() << " points: ";
-        for (Boundary::const_iterator itb = b.begin(); itb != b.end(); ++itb) {
-            std::cout << *itb << ", ";
+    const Boundaries& boundaries = get_boundaries();
+    std::cout << "Number of boundaries: " << boundaries.size() << std::endl;
+    for (const auto & boundary : boundaries) {
+        std::cout << "  Boundary of " << boundary.size() << " points: ";
+        for (const auto & point : boundary) {
+            std::cout << point << ", ";
         }
         std::cout << std::endl;
     }
@@ -567,7 +604,11 @@ TriContourGenerator::TriContourGenerator(Triangulation& triangulation,
       _interior_visited(2*_triangulation.get_ntri()),
       _boundaries_visited(0),
       _boundaries_used(0)
-{}
+{
+    if (_z.ndim() != 1 || _z.shape(0) != _triangulation.get_npoints())
+        throw std::invalid_argument(
+            "z must be a 1D array with the same length as the x and y arrays");
+}
 
 void TriContourGenerator::clear_visited_flags(bool include_boundaries)
 {
@@ -580,108 +621,150 @@ void TriContourGenerator::clear_visited_flags(bool include_boundaries)
 
             // Initialise _boundaries_visited.
             _boundaries_visited.reserve(boundaries.size());
-            for (Boundaries::const_iterator it = boundaries.begin();
-                    it != boundaries.end(); ++it)
-                _boundaries_visited.push_back(BoundaryVisited(it->size()));
+            for (const auto & boundary : boundaries) {
+                _boundaries_visited.emplace_back(boundary.size());
+            }
 
             // Initialise _boundaries_used.
             _boundaries_used = BoundariesUsed(boundaries.size());
         }
 
         // Clear _boundaries_visited.
-        for (BoundariesVisited::iterator it = _boundaries_visited.begin();
-                it != _boundaries_visited.end(); ++it)
-            std::fill(it->begin(), it->end(), false);
+        for (auto & it : _boundaries_visited) {
+            std::fill(it.begin(), it.end(), false);
+        }
 
         // Clear _boundaries_used.
         std::fill(_boundaries_used.begin(), _boundaries_used.end(), false);
     }
 }
 
-PyObject* TriContourGenerator::contour_to_segs(const Contour& contour)
+py::tuple TriContourGenerator::contour_line_to_segs_and_kinds(const Contour& contour)
 {
-    PyObject* segs = PyList_New(contour.size());
+    // Convert all of the lines generated by a call to create_contour() into
+    // their Python equivalents for return to the calling function.
+    // A line is either a closed line loop (in which case the last point is
+    // identical to the first) or an open line strip.  Two NumPy arrays are
+    // created for each line:
+    //   vertices is a double array of shape (npoints, 2) containing the (x, y)
+    //     coordinates of the points in the line
+    //   codes is a uint8 array of shape (npoints,) containing the 'kind codes'
+    //     which are defined in the Path class
+    // and they are appended to the Python lists vertices_list and codes_list
+    // respectively for return to the Python calling function.
+
+    py::list vertices_list(contour.size());
+    py::list codes_list(contour.size());
+
     for (Contour::size_type i = 0; i < contour.size(); ++i) {
-        const ContourLine& line = contour[i];
-        npy_intp dims[2] = {static_cast<npy_intp>(line.size()),2};
-        PyArrayObject* py_line = (PyArrayObject*)PyArray_SimpleNew(
-                                                     2, dims, NPY_DOUBLE);
-        double* p = (double*)PyArray_DATA(py_line);
-        for (ContourLine::const_iterator it = line.begin(); it != line.end(); ++it) {
-            *p++ = it->x;
-            *p++ = it->y;
+        const ContourLine& contour_line = contour[i];
+        py::ssize_t npoints = static_cast<py::ssize_t>(contour_line.size());
+
+        py::ssize_t segs_dims[2] = {npoints, 2};
+        CoordinateArray segs(segs_dims);
+        double* segs_ptr = segs.mutable_data();
+
+        py::ssize_t codes_dims[1] = {npoints};
+        CodeArray codes(codes_dims);
+        unsigned char* codes_ptr = codes.mutable_data();
+
+        for (const auto & point : contour_line) {
+            *segs_ptr++ = point.x;
+            *segs_ptr++ = point.y;
+            *codes_ptr++ = LINETO;
         }
-        if (PyList_SetItem(segs, i, (PyObject*)py_line)) {
-            Py_XDECREF(segs);
-            PyErr_SetString(PyExc_RuntimeError,
-                            "Unable to set contour segments");
-            return NULL;
+        if (npoints > 0) {
+            *codes.mutable_data(0) = MOVETO;
         }
+
+        // Closed line loop has identical first and last (x, y) points.
+        if (contour_line.size() > 1 &&
+            contour_line.front() == contour_line.back())
+            *(codes_ptr-1) = CLOSEPOLY;
+
+        vertices_list[i] = segs;
+        codes_list[i] = codes;
     }
-    return segs;
+
+    return py::make_tuple(vertices_list, codes_list);
 }
 
-PyObject* TriContourGenerator::contour_to_segs_and_kinds(const Contour& contour)
+py::tuple TriContourGenerator::contour_to_segs_and_kinds(const Contour& contour)
 {
-    Contour::const_iterator line;
-    ContourLine::const_iterator point;
+    // Convert all of the polygons generated by a call to
+    // create_filled_contour() into their Python equivalents for return to the
+    // calling function.  All of the polygons' points and kinds codes are
+    // combined into single NumPy arrays for each; this avoids having
+    // to determine which polygons are holes as this will be determined by the
+    // renderer.  If there are ntotal points in all of the polygons, the two
+    // NumPy arrays created are:
+    //   vertices is a double array of shape (ntotal, 2) containing the (x, y)
+    //     coordinates of the points in the polygons
+    //   codes is a uint8 array of shape (ntotal,) containing the 'kind codes'
+    //     which are defined in the Path class
+    // and they are returned in the Python lists vertices_list and codes_list
+    // respectively.
 
     // Find total number of points in all contour lines.
-    int n_points = 0;
-    for (line = contour.begin(); line != contour.end(); ++line)
-        n_points += line->size();
+    py::ssize_t n_points = 0;
+    for (const auto & line : contour) {
+        n_points += static_cast<py::ssize_t>(line.size());
+    }
 
     // Create segs array for point coordinates.
-    npy_intp segs_dims[2] = {n_points, 2};
-    PyArrayObject* segs = (PyArrayObject*)PyArray_SimpleNew(
-                                                2, segs_dims, NPY_DOUBLE);
-    double* segs_ptr = (double*)PyArray_DATA(segs);
+    py::ssize_t segs_dims[2] = {n_points, 2};
+    TwoCoordinateArray segs(segs_dims);
+    double* segs_ptr = segs.mutable_data();
 
     // Create kinds array for code types.
-    npy_intp kinds_dims[1] = {n_points};
-    PyArrayObject* kinds = (PyArrayObject*)PyArray_SimpleNew(
-                                                1, kinds_dims, NPY_UBYTE);
-    unsigned char* kinds_ptr = (unsigned char*)PyArray_DATA(kinds);
+    py::ssize_t codes_dims[1] = {n_points};
+    CodeArray codes(codes_dims);
+    unsigned char* codes_ptr = codes.mutable_data();
 
-    for (line = contour.begin(); line != contour.end(); ++line) {
-        for (point = line->begin(); point != line->end(); point++) {
+    for (const auto & line : contour) {
+        for (auto point = line.cbegin(); point != line.cend(); point++) {
             *segs_ptr++ = point->x;
             *segs_ptr++ = point->y;
-            *kinds_ptr++ = (point == line->begin() ? MOVETO : LINETO);
+            *codes_ptr++ = (point == line.cbegin() ? MOVETO : LINETO);
         }
-    }
 
-    PyObject* result = PyTuple_New(2);
-    if (PyTuple_SetItem(result, 0, (PyObject*)segs) ||
-        PyTuple_SetItem(result, 1, (PyObject*)kinds)) {
-        Py_XDECREF(result);
-        PyErr_SetString(PyExc_RuntimeError,
-                        "Unable to set contour segments and kinds");
-        return NULL;
+        if (line.size() > 1) {
+            *(codes_ptr-1) = CLOSEPOLY;
+        }
     }
-    return result;
+
+    py::list vertices_list(1);
+    vertices_list[0] = segs;
+
+    py::list codes_list(1);
+    codes_list[0] = codes;
+
+    return py::make_tuple(vertices_list, codes_list);
 }
 
-PyObject* TriContourGenerator::create_contour(const double& level)
+py::tuple TriContourGenerator::create_contour(const double& level)
 {
     clear_visited_flags(false);
     Contour contour;
 
     find_boundary_lines(contour, level);
-    find_interior_lines(contour, level, false, false);
+    find_interior_lines(contour, level, false);
 
-    return contour_to_segs(contour);
+    return contour_line_to_segs_and_kinds(contour);
 }
 
-PyObject* TriContourGenerator::create_filled_contour(const double& lower_level,
+py::tuple TriContourGenerator::create_filled_contour(const double& lower_level,
                                                      const double& upper_level)
 {
+    if (lower_level >= upper_level)
+        throw std::invalid_argument("filled contour levels must be increasing");
+
     clear_visited_flags(true);
     Contour contour;
 
     find_boundary_lines_filled(contour, lower_level, upper_level);
-    find_interior_lines(contour, lower_level, false, true);
-    find_interior_lines(contour, upper_level, true,  true);
+    find_interior_lines(contour, lower_level, false);
+    find_interior_lines(contour, upper_level, true);
 
     return contour_to_segs_and_kinds(contour);
 }
@@ -701,13 +784,10 @@ void TriContourGenerator::find_boundary_lines(Contour& contour,
     // line to its end before continuing.
     const Triangulation& triang = _triangulation;
     const Boundaries& boundaries = get_boundaries();
-    for (Boundaries::const_iterator it = boundaries.begin();
-            it != boundaries.end(); ++it) {
-        const Boundary& boundary = *it;
+    for (const auto & boundary : boundaries) {
         bool startAbove, endAbove = false;
-        for (Boundary::const_iterator itb = boundary.begin();
-                itb != boundary.end(); ++itb) {
-            if (itb == boundary.begin())
+        for (auto itb = boundary.cbegin(); itb != boundary.cend(); ++itb) {
+            if (itb == boundary.cbegin())
                 startAbove = get_z(triang.get_triangle_point(*itb)) >= level;
             else
                 startAbove = endAbove;
@@ -716,8 +796,7 @@ void TriContourGenerator::find_boundary_lines(Contour& contour,
             if (startAbove && !endAbove) {
                 // This boundary edge is the start point for a contour line,
                 // so follow the line.
-                contour.push_back(ContourLine());
-                ContourLine& contour_line = contour.back();
+                ContourLine& contour_line = contour.emplace_back();
                 TriEdge tri_edge = *itb;
                 follow_interior(contour_line, tri_edge, true, level, false);
             }
@@ -750,8 +829,7 @@ void TriContourGenerator::find_boundary_lines_filled(Contour& contour,
 
                 if (decr_lower || incr_upper) {
                     // Start point for contour line, so follow it.
-                    contour.push_back(ContourLine());
-                    ContourLine& contour_line = contour.back();
+                    ContourLine& contour_line = contour.emplace_back();
                     TriEdge start_tri_edge = boundary[j];
                     TriEdge tri_edge = start_tri_edge;
 
@@ -764,11 +842,8 @@ void TriContourGenerator::find_boundary_lines_filled(Contour& contour,
                                        lower_level, upper_level, on_upper);
                     } while (tri_edge != start_tri_edge);
 
-                    // Filled contour lines must not have same first and last
-                    // points.
-                    if (contour_line.size() > 1 &&
-                            contour_line.front() == contour_line.back())
-                        contour_line.pop_back();
+                    // Close polygon.
+                    contour_line.push_back(contour_line.front());
                 }
             }
         }
@@ -782,11 +857,14 @@ void TriContourGenerator::find_boundary_lines_filled(Contour& contour,
             const Boundary& boundary = boundaries[i];
             double z = get_z(triang.get_triangle_point(boundary[0]));
             if (z >= lower_level && z < upper_level) {
-                contour.push_back(ContourLine());
-                ContourLine& contour_line = contour.back();
-                for (Boundary::size_type j = 0; j < boundary.size(); ++j)
+                ContourLine& contour_line = contour.emplace_back();
+                for (auto edge : boundary) {
                     contour_line.push_back(triang.get_point_coords(
-                                      triang.get_triangle_point(boundary[j])));
+                                      triang.get_triangle_point(edge)));
+                }
+
+                // Close polygon.
+                contour_line.push_back(contour_line.front());
             }
         }
     }
@@ -794,8 +872,7 @@ void TriContourGenerator::find_boundary_lines_filled(Contour& contour,
 
 void TriContourGenerator::find_interior_lines(Contour& contour,
                                               const double& level,
-                                              bool on_upper,
-                                              bool filled)
+                                              bool on_upper)
 {
     const Triangulation& triang = _triangulation;
     int ntri = triang.get_ntri();
@@ -814,18 +891,12 @@ void TriContourGenerator::find_interior_lines(Contour& contour,
             continue;  // Contour does not pass through this triangle.
 
         // Found start of new contour line loop.
-        contour.push_back(ContourLine());
-        ContourLine& contour_line = contour.back();
+        ContourLine& contour_line = contour.emplace_back();
         TriEdge tri_edge = triang.get_neighbor_edge(tri, edge);
         follow_interior(contour_line, tri_edge, false, level, on_upper);
 
-        if (!filled)
-            // Non-filled contour lines must be closed.
-            contour_line.push_back(contour_line.front());
-        else if (contour_line.size() > 1 &&
-                 contour_line.front() == contour_line.back())
-            // Filled contour lines must not have same first and last points.
-            contour_line.pop_back();
+        // Close line loop
+        contour_line.push_back(contour_line.front());
     }
 }
 
@@ -972,7 +1043,7 @@ const double& TriContourGenerator::get_z(int point) const
 {
     assert(point >= 0 && point < _triangulation.get_npoints() &&
            "Point index out of bounds.");
-    return _z(point);
+    return _z.data()[point];
 }
 
 XY TriContourGenerator::interp(int point1,
@@ -993,8 +1064,8 @@ XY TriContourGenerator::interp(int point1,
 
 TrapezoidMapTriFinder::TrapezoidMapTriFinder(Triangulation& triangulation)
     : _triangulation(triangulation),
-      _points(0),
-      _tree(0)
+      _points(nullptr),
+      _tree(nullptr)
 {}
 
 TrapezoidMapTriFinder::~TrapezoidMapTriFinder()
@@ -1012,15 +1083,15 @@ TrapezoidMapTriFinder::add_edge_to_tree(const Edge& edge)
 
     const Point* p = edge.left;
     const Point* q = edge.right;
-    Trapezoid* left_old = 0;    // old trapezoid to the left.
-    Trapezoid* left_below = 0;  // below trapezoid to the left.
-    Trapezoid* left_above = 0;  // above trapezoid to the left.
+    Trapezoid* left_old = nullptr;    // old trapezoid to the left.
+    Trapezoid* left_below = nullptr;  // below trapezoid to the left.
+    Trapezoid* left_above = nullptr;  // above trapezoid to the left.
 
     // Iterate through trapezoids intersecting edge from left to right.
     // Replace each old trapezoid with 2+ new trapezoids, and replace its
     // corresponding nodes in the search tree with new nodes.
-    unsigned int ntraps = trapezoids.size();
-    for (unsigned int i = 0; i < ntraps; ++i) {
+    size_t ntraps = trapezoids.size();
+    for (size_t i = 0; i < ntraps; ++i) {
         Trapezoid* old = trapezoids[i];  // old trapezoid to replace.
         bool start_trap = (i == 0);
         bool end_trap = (i == ntraps-1);
@@ -1030,10 +1101,10 @@ TrapezoidMapTriFinder::add_edge_to_tree(const Edge& edge)
         // Old trapezoid is replaced by up to 4 new trapezoids: left is to the
         // left of the start point p, below/above are below/above the edge
         // inserted, and right is to the right of the end point q.
-        Trapezoid* left = 0;
-        Trapezoid* below = 0;
-        Trapezoid* above = 0;
-        Trapezoid* right = 0;
+        Trapezoid* left = nullptr;
+        Trapezoid* below = nullptr;
+        Trapezoid* above = nullptr;
+        Trapezoid* right = nullptr;
 
         // There are 4 different cases here depending on whether the old
         // trapezoid in question is the start and/or end trapezoid of those
@@ -1221,35 +1292,41 @@ void
 TrapezoidMapTriFinder::clear()
 {
     delete [] _points;
-    _points = 0;
+    _points = nullptr;
 
     _edges.clear();
 
     delete _tree;
-    _tree = 0;
+    _tree = nullptr;
 }
 
 TrapezoidMapTriFinder::TriIndexArray
 TrapezoidMapTriFinder::find_many(const CoordinateArray& x,
                                  const CoordinateArray& y)
 {
+    if (x.ndim() != 1 || y.ndim() != 1 || x.shape(0) != y.shape(0))
+        throw std::invalid_argument(
+            "x and y must be array-like with same shape");
+
     // Create integer array to return.
-    npy_intp n = x.dim(0);
-    npy_intp dims[1] = {n};
-    TriIndexArray tri_indices(dims);
+    auto n = x.shape(0);
+    TriIndexArray tri_indices_array(n);
+    auto tri_indices = tri_indices_array.mutable_unchecked<1>();
+    auto x_data = x.data();
+    auto y_data = y.data();
 
     // Fill returned array.
-    for (npy_intp i = 0; i < n; ++i)
-        tri_indices(i) = find_one(XY(x(i), y(i)));
+    for (py::ssize_t i = 0; i < n; ++i)
+        tri_indices(i) = find_one(XY(x_data[i], y_data[i]));
 
-    return tri_indices;
+    return tri_indices_array;
 }
 
 int
 TrapezoidMapTriFinder::find_one(const XY& xy)
 {
     const Node* node = _tree->search(xy);
-    assert(node != 0 && "Search tree for point returned null node");
+    assert(node != nullptr && "Search tree for point returned null node");
     return node->get_tri();
 }
 
@@ -1262,8 +1339,8 @@ TrapezoidMapTriFinder::find_trapezoids_intersecting_edge(
     // checks to deal with simple colinear (i.e. invalid) triangles.
     trapezoids.clear();
     Trapezoid* trapezoid = _tree->search(edge);
-    if (trapezoid == 0) {
-        assert(trapezoid != 0 && "search(edge) returns null trapezoid");
+    if (trapezoid == nullptr) {
+        assert(trapezoid != nullptr && "search(edge) returns null trapezoid");
         return false;
     }
 
@@ -1286,7 +1363,7 @@ TrapezoidMapTriFinder::find_trapezoids_intersecting_edge(
         else if (orient == +1)
             trapezoid = trapezoid->upper_right;
 
-        if (trapezoid == 0) {
+        if (trapezoid == nullptr) {
             assert(0 && "Expected trapezoid neighbor");
             return false;
         }
@@ -1296,20 +1373,21 @@ TrapezoidMapTriFinder::find_trapezoids_intersecting_edge(
     return true;
 }
 
-PyObject*
+py::list
 TrapezoidMapTriFinder::get_tree_stats()
 {
     NodeStats stats;
     _tree->get_stats(0, stats);
 
-    return Py_BuildValue("[l,l,l,l,l,l,d]",
-                         stats.node_count,
-                         stats.unique_nodes.size(),
-                         stats.trapezoid_count,
-                         stats.unique_trapezoid_nodes.size(),
-                         stats.max_parent_count,
-                         stats.max_depth,
-                         stats.sum_trapezoid_depth / stats.trapezoid_count);
+    py::list ret(7);
+    ret[0] = stats.node_count;
+    ret[1] = stats.unique_nodes.size(),
+    ret[2] = stats.trapezoid_count,
+    ret[3] = stats.unique_trapezoid_nodes.size(),
+    ret[4] = stats.max_parent_count,
+    ret[5] = stats.max_depth,
+    ret[6] = stats.sum_trapezoid_depth / stats.trapezoid_count;
+    return ret;
 }
 
 void
@@ -1352,8 +1430,10 @@ TrapezoidMapTriFinder::initialize()
 
     // Set up edges array.
     // First the bottom and top edges of the enclosing rectangle.
-    _edges.push_back(Edge(&_points[npoints],  &_points[npoints+1],-1,-1,0,0));
-    _edges.push_back(Edge(&_points[npoints+2],&_points[npoints+3],-1,-1,0,0));
+    _edges.emplace_back(&_points[npoints],   &_points[npoints+1], -1, -1,
+                        nullptr, nullptr);
+    _edges.emplace_back(&_points[npoints+2], &_points[npoints+3], -1, -1,
+                        nullptr, nullptr);
 
     // Add all edges in the triangulation that point to the right.  Do not
     // explicitly include edges that point to the left as the neighboring
@@ -1370,13 +1450,14 @@ TrapezoidMapTriFinder::initialize()
                 TriEdge neighbor = triang.get_neighbor_edge(tri,edge);
                 if (end->is_right_of(*start)) {
                     const Point* neighbor_point_below = (neighbor.tri == -1) ?
-                        0 : _points + triang.get_triangle_point(
+                        nullptr : _points + triang.get_triangle_point(
                                           neighbor.tri, (neighbor.edge+2)%3);
-                    _edges.push_back(Edge(start, end, neighbor.tri, tri,
-                                          neighbor_point_below, other));
+                    _edges.emplace_back(start, end, neighbor.tri, tri,
+                                        neighbor_point_below, other);
+                }
+                else if (neighbor.tri == -1) {
+                    _edges.emplace_back(end, start, tri, -1, other, nullptr);
                 }
-                else if (neighbor.tri == -1)
-                    _edges.push_back(Edge(end, start, tri, -1, other, 0));
 
                 // Set triangle associated with start point if not already set.
                 if (start->tri == -1)
@@ -1391,14 +1472,14 @@ TrapezoidMapTriFinder::initialize()
     _tree->assert_valid(false);
 
     // Randomly shuffle all edges other than first 2.
-    RandomNumberGenerator rng(1234);
-    std::random_shuffle(_edges.begin()+2, _edges.end(), rng);
+    std::mt19937 rng(1234);
+    std::shuffle(_edges.begin()+2, _edges.end(), rng);
 
     // Add edges, one at a time, to tree.
-    unsigned int nedges = _edges.size();
-    for (unsigned int index = 2; index < nedges; ++index) {
+    size_t nedges = _edges.size();
+    for (size_t index = 2; index < nedges; ++index) {
         if (!add_edge_to_tree(_edges[index]))
-            throw "Triangulation is invalid";
+            throw std::runtime_error("Triangulation is invalid");
         _tree->assert_valid(index == nedges-1);
     }
 }
@@ -1406,7 +1487,7 @@ TrapezoidMapTriFinder::initialize()
 void
 TrapezoidMapTriFinder::print_tree()
 {
-    assert(_tree != 0 && "Null Node tree");
+    assert(_tree != nullptr && "Null Node tree");
     _tree->print();
 }
 
@@ -1423,8 +1504,8 @@ TrapezoidMapTriFinder::Edge::Edge(const Point* left_,
       point_below(point_below_),
       point_above(point_above_)
 {
-    assert(left != 0 && "Null left point");
-    assert(right != 0 && "Null right point");
+    assert(left != nullptr && "Null left point");
+    assert(right != nullptr && "Null right point");
     assert(right->is_right_of(*left) && "Incorrect point order");
     assert(triangle_below >= -1 && "Invalid triangle below index");
     assert(triangle_above >= -1 && "Invalid triangle above index");
@@ -1465,7 +1546,7 @@ TrapezoidMapTriFinder::Edge::get_y_at_x(const double& x) const
 bool
 TrapezoidMapTriFinder::Edge::has_point(const Point* point) const
 {
-    assert(point != 0 && "Null point");
+    assert(point != nullptr && "Null point");
     return (left == point || right == point);
 }
 
@@ -1485,9 +1566,9 @@ TrapezoidMapTriFinder::Edge::print_debug() const
 TrapezoidMapTriFinder::Node::Node(const Point* point, Node* left, Node* right)
     : _type(Type_XNode)
 {
-    assert(point != 0 && "Invalid point");
-    assert(left != 0 && "Invalid left node");
-    assert(right != 0 && "Invalid right node");
+    assert(point != nullptr && "Invalid point");
+    assert(left != nullptr && "Invalid left node");
+    assert(right != nullptr && "Invalid right node");
     _union.xnode.point = point;
     _union.xnode.left = left;
     _union.xnode.right = right;
@@ -1498,9 +1579,9 @@ TrapezoidMapTriFinder::Node::Node(const Point* point, Node* left, Node* right)
 TrapezoidMapTriFinder::Node::Node(const Edge* edge, Node* below, Node* above)
     : _type(Type_YNode)
 {
-    assert(edge != 0 && "Invalid edge");
-    assert(below != 0 && "Invalid below node");
-    assert(above != 0 && "Invalid above node");
+    assert(edge != nullptr && "Invalid edge");
+    assert(below != nullptr && "Invalid below node");
+    assert(above != nullptr && "Invalid above node");
     _union.ynode.edge = edge;
     _union.ynode.below = below;
     _union.ynode.above = above;
@@ -1511,7 +1592,7 @@ TrapezoidMapTriFinder::Node::Node(const Edge* edge, Node* below, Node* above)
 TrapezoidMapTriFinder::Node::Node(Trapezoid* trapezoid)
     : _type(Type_TrapezoidNode)
 {
-    assert(trapezoid != 0 && "Null Trapezoid");
+    assert(trapezoid != nullptr && "Null Trapezoid");
     _union.trapezoid = trapezoid;
     trapezoid->trapezoid_node = this;
 }
@@ -1540,7 +1621,7 @@ TrapezoidMapTriFinder::Node::~Node()
 void
 TrapezoidMapTriFinder::Node::add_parent(Node* parent)
 {
-    assert(parent != 0 && "Null parent");
+    assert(parent != nullptr && "Null parent");
     assert(parent != this && "Cannot be parent of self");
     assert(!has_parent(parent) && "Parent already in collection");
     _parents.push_back(parent);
@@ -1551,9 +1632,7 @@ TrapezoidMapTriFinder::Node::assert_valid(bool tree_complete) const
 {
 #ifndef NDEBUG
     // Check parents.
-    for (Parents::const_iterator it = _parents.begin();
-         it != _parents.end(); ++it) {
-        Node* parent = *it;
+    for (const auto & parent : _parents) {
         assert(parent != this && "Cannot be parent of self");
         assert(parent->has_child(this) && "Parent missing child");
     }
@@ -1561,23 +1640,23 @@ TrapezoidMapTriFinder::Node::assert_valid(bool tree_complete) const
     // Check children, and recurse.
     switch (_type) {
         case Type_XNode:
-            assert(_union.xnode.left != 0 && "Null left child");
+            assert(_union.xnode.left != nullptr && "Null left child");
             assert(_union.xnode.left->has_parent(this) && "Incorrect parent");
-            assert(_union.xnode.right != 0 && "Null right child");
+            assert(_union.xnode.right != nullptr && "Null right child");
             assert(_union.xnode.right->has_parent(this) && "Incorrect parent");
             _union.xnode.left->assert_valid(tree_complete);
             _union.xnode.right->assert_valid(tree_complete);
             break;
         case Type_YNode:
-            assert(_union.ynode.below != 0 && "Null below child");
+            assert(_union.ynode.below != nullptr && "Null below child");
             assert(_union.ynode.below->has_parent(this) && "Incorrect parent");
-            assert(_union.ynode.above != 0 && "Null above child");
+            assert(_union.ynode.above != nullptr && "Null above child");
             assert(_union.ynode.above->has_parent(this) && "Incorrect parent");
             _union.ynode.below->assert_valid(tree_complete);
             _union.ynode.above->assert_valid(tree_complete);
             break;
         case Type_TrapezoidNode:
-            assert(_union.trapezoid != 0 && "Null trapezoid");
+            assert(_union.trapezoid != nullptr && "Null trapezoid");
             assert(_union.trapezoid->trapezoid_node == this &&
                    "Incorrect trapezoid node");
             _union.trapezoid->assert_valid(tree_complete);
@@ -1637,7 +1716,7 @@ TrapezoidMapTriFinder::Node::get_tri() const
 bool
 TrapezoidMapTriFinder::Node::has_child(const Node* child) const
 {
-    assert(child != 0 && "Null child node");
+    assert(child != nullptr && "Null child node");
     switch (_type) {
         case Type_XNode:
             return (_union.xnode.left == child || _union.xnode.right == child);
@@ -1690,9 +1769,9 @@ TrapezoidMapTriFinder::Node::print(int depth /* = 0 */) const
 bool
 TrapezoidMapTriFinder::Node::remove_parent(Node* parent)
 {
-    assert(parent != 0 && "Null parent");
+    assert(parent != nullptr && "Null parent");
     assert(parent != this && "Cannot be parent of self");
-    Parents::iterator it = std::find(_parents.begin(), _parents.end(), parent);
+    auto it = std::find(_parents.begin(), _parents.end(), parent);
     assert(it != _parents.end() && "Parent not in collection");
     _parents.erase(it);
     return _parents.empty();
@@ -1705,7 +1784,7 @@ TrapezoidMapTriFinder::Node::replace_child(Node* old_child, Node* new_child)
         case Type_XNode:
             assert((_union.xnode.left == old_child ||
                     _union.xnode.right == old_child) && "Not a child Node");
-            assert(new_child != 0 && "Null child node");
+            assert(new_child != nullptr && "Null child node");
             if (_union.xnode.left == old_child)
                 _union.xnode.left = new_child;
             else
@@ -1714,7 +1793,7 @@ TrapezoidMapTriFinder::Node::replace_child(Node* old_child, Node* new_child)
         case Type_YNode:
             assert((_union.ynode.below == old_child ||
                     _union.ynode.above == old_child) && "Not a child node");
-            assert(new_child != 0 && "Null child node");
+            assert(new_child != nullptr && "Null child node");
             if (_union.ynode.below == old_child)
                 _union.ynode.below = new_child;
             else
@@ -1731,7 +1810,7 @@ TrapezoidMapTriFinder::Node::replace_child(Node* old_child, Node* new_child)
 void
 TrapezoidMapTriFinder::Node::replace_with(Node* new_node)
 {
-    assert(new_node != 0 && "Null replacement node");
+    assert(new_node != nullptr && "Null replacement node");
     // Replace child of each parent with new_node.  As each has parent has its
     // child replaced it is removed from the _parents collection.
     while (!_parents.empty())
@@ -1789,7 +1868,7 @@ TrapezoidMapTriFinder::Node::search(const Edge& edge)
                     else {
                         assert(0 &&
                                "Invalid triangulation, common left points");
-                        return 0;
+                        return nullptr;
                     }
                 }
                 if (edge.get_slope() > _union.ynode.edge->get_slope())
@@ -1809,7 +1888,7 @@ TrapezoidMapTriFinder::Node::search(const Edge& edge)
                     else {
                         assert(0 &&
                                "Invalid triangulation, common right points");
-                        return 0;
+                        return nullptr;
                     }
                 }
                 if (edge.get_slope() > _union.ynode.edge->get_slope())
@@ -1822,15 +1901,15 @@ TrapezoidMapTriFinder::Node::search(const Edge& edge)
                     _union.ynode.edge->get_point_orientation(*edge.left);
                 if (orient == 0) {
                     // edge.left lies on _union.ynode.edge
-                    if (_union.ynode.edge->point_above != 0 &&
+                    if (_union.ynode.edge->point_above != nullptr &&
                         edge.has_point(_union.ynode.edge->point_above))
                         orient = -1;
-                    else if (_union.ynode.edge->point_below != 0 &&
+                    else if (_union.ynode.edge->point_below != nullptr &&
                              edge.has_point(_union.ynode.edge->point_below))
                         orient = +1;
                     else {
                         assert(0 && "Invalid triangulation, point on edge");
-                        return 0;
+                        return nullptr;
                     }
                 }
                 if (orient < 0)
@@ -1848,11 +1927,12 @@ TrapezoidMapTriFinder::Trapezoid::Trapezoid(const Point* left_,
                                             const Edge& below_,
                                             const Edge& above_)
     : left(left_), right(right_), below(below_), above(above_),
-      lower_left(0), lower_right(0), upper_left(0), upper_right(0),
-      trapezoid_node(0)
+      lower_left(nullptr), lower_right(nullptr),
+      upper_left(nullptr), upper_right(nullptr),
+      trapezoid_node(nullptr)
 {
-    assert(left != 0 && "Null left point");
-    assert(right != 0 && "Null right point");
+    assert(left != nullptr && "Null left point");
+    assert(right != nullptr && "Null right point");
     assert(right->is_right_of(*left) && "Incorrect point order");
 }
 
@@ -1860,10 +1940,10 @@ void
 TrapezoidMapTriFinder::Trapezoid::assert_valid(bool tree_complete) const
 {
 #ifndef NDEBUG
-    assert(left != 0 && "Null left point");
-    assert(right != 0 && "Null right point");
+    assert(left != nullptr && "Null left point");
+    assert(right != nullptr && "Null right point");
 
-    if (lower_left != 0) {
+    if (lower_left != nullptr) {
         assert(lower_left->below == below &&
                lower_left->lower_right == this &&
                "Incorrect lower_left trapezoid");
@@ -1871,7 +1951,7 @@ TrapezoidMapTriFinder::Trapezoid::assert_valid(bool tree_complete) const
                "Incorrect lower left point");
     }
 
-    if (lower_right != 0) {
+    if (lower_right != nullptr) {
         assert(lower_right->below == below &&
                lower_right->lower_left == this &&
                "Incorrect lower_right trapezoid");
@@ -1879,7 +1959,7 @@ TrapezoidMapTriFinder::Trapezoid::assert_valid(bool tree_complete) const
                "Incorrect lower right point");
     }
 
-    if (upper_left != 0) {
+    if (upper_left != nullptr) {
         assert(upper_left->above == above &&
                upper_left->upper_right == this &&
                "Incorrect upper_left trapezoid");
@@ -1887,7 +1967,7 @@ TrapezoidMapTriFinder::Trapezoid::assert_valid(bool tree_complete) const
                "Incorrect upper left point");
     }
 
-    if (upper_right != 0) {
+    if (upper_right != nullptr) {
         assert(upper_right->above == above &&
                upper_right->upper_left == this &&
                "Incorrect upper_right trapezoid");
@@ -1895,7 +1975,7 @@ TrapezoidMapTriFinder::Trapezoid::assert_valid(bool tree_complete) const
                "Incorrect upper right point");
     }
 
-    assert(trapezoid_node != 0 && "Null trapezoid_node");
+    assert(trapezoid_node != nullptr && "Null trapezoid_node");
 
     if (tree_complete) {
         assert(below.triangle_above == above.triangle_below &&
@@ -1955,43 +2035,34 @@ void
 TrapezoidMapTriFinder::Trapezoid::set_lower_left(Trapezoid* lower_left_)
 {
     lower_left = lower_left_;
-    if (lower_left != 0)
+    if (lower_left != nullptr) {
         lower_left->lower_right = this;
+    }
 }
 
 void
 TrapezoidMapTriFinder::Trapezoid::set_lower_right(Trapezoid* lower_right_)
 {
     lower_right = lower_right_;
-    if (lower_right != 0)
+    if (lower_right != nullptr) {
         lower_right->lower_left = this;
+    }
 }
 
 void
 TrapezoidMapTriFinder::Trapezoid::set_upper_left(Trapezoid* upper_left_)
 {
     upper_left = upper_left_;
-    if (upper_left != 0)
+    if (upper_left != nullptr) {
         upper_left->upper_right = this;
+    }
 }
 
 void
 TrapezoidMapTriFinder::Trapezoid::set_upper_right(Trapezoid* upper_right_)
 {
     upper_right = upper_right_;
-    if (upper_right != 0)
+    if (upper_right != nullptr) {
         upper_right->upper_left = this;
-}
-
-
-
-RandomNumberGenerator::RandomNumberGenerator(unsigned long seed)
-    : _m(21870), _a(1291), _c(4621), _seed(seed % _m)
-{}
-
-unsigned long
-RandomNumberGenerator::operator()(unsigned long max_value)
-{
-    _seed = (_seed*_a + _c) % _m;
-    return (_seed*max_value) / _m;
+    }
 }
diff --git a/lib/matplotlib/tri/_tri.h b/src/tri/_tri.h
similarity index 91%
rename from lib/matplotlib/tri/_tri.h
rename to src/tri/_tri.h
index 7485831bbce6..2319650b367b 100644
--- a/lib/matplotlib/tri/_tri.h
+++ b/src/tri/_tri.h
@@ -60,10 +60,11 @@
  * points below or above (including the same as) the contour level) and 6 that
  * do.  See the function get_exit_edge for details.
  */
-#ifndef _TRI_H
-#define _TRI_H
+#ifndef MPL_TRI_H
+#define MPL_TRI_H
 
-#include "src/numpy_cpp.h"
+#include <pybind11/pybind11.h>
+#include <pybind11/numpy.h>
 
 #include <iostream>
 #include <list>
@@ -71,12 +72,13 @@
 #include <set>
 #include <vector>
 
+namespace py = pybind11;
 
 
 /* An edge of a triangle consisting of an triangle index in the range 0 to
  * ntri-1 and an edge index in the range 0 to 2.  Edge i goes from the
  * triangle's point i to point (i+1)%3. */
-struct TriEdge
+struct TriEdge final
 {
     TriEdge();
     TriEdge(int tri_, int edge_);
@@ -109,12 +111,11 @@ struct XY
 };
 
 // 3D point with x,y,z coordinates.
-struct XYZ
+struct XYZ final
 {
     XYZ(const double& x_, const double& y_, const double& z_);
     XYZ cross(const XYZ& other) const;
     double dot(const XYZ& other) const;
-    double length_squared() const;
     XYZ operator-(const XYZ& other) const;
     friend std::ostream& operator<<(std::ostream& os, const XYZ& xyz);
 
@@ -122,7 +123,7 @@ struct XYZ
 };
 
 // 2D bounding box, which may be empty.
-class BoundingBox
+class BoundingBox final
 {
 public:
     BoundingBox();
@@ -135,14 +136,12 @@ class BoundingBox
 };
 
 /* A single line of a contour, which may be a closed line loop or an open line
- * strip.  Identical adjacent points are avoided using insert_unique() and
- * push_back(), and a closed line loop should also not have identical first and
- * last points. */
-class ContourLine : public std::vector<XY>
+ * strip.  Identical adjacent points are avoided using push_back(), and a closed
+ * line loop should also not have identical first and last points. */
+class ContourLine final : public std::vector<XY>
 {
 public:
     ContourLine();
-    void insert_unique(iterator pos, const XY& point);
     void push_back(const XY& point);
     void write() const;
 };
@@ -158,15 +157,15 @@ void write_contour(const Contour& contour);
 
 /* Triangulation with npoints points and ntri triangles.  Derived fields are
  * calculated when they are first needed. */
-class Triangulation
+class Triangulation final
 {
 public:
-    typedef numpy::array_view<const double, 1> CoordinateArray;
-    typedef numpy::array_view<double, 2> TwoCoordinateArray;
-    typedef numpy::array_view<int, 2> TriangleArray;
-    typedef numpy::array_view<const bool, 1> MaskArray;
-    typedef numpy::array_view<int, 2> EdgeArray;
-    typedef numpy::array_view<int, 2> NeighborArray;
+    typedef py::array_t<double, py::array::c_style | py::array::forcecast> CoordinateArray;
+    typedef py::array_t<double, py::array::c_style | py::array::forcecast> TwoCoordinateArray;
+    typedef py::array_t<int,    py::array::c_style | py::array::forcecast> TriangleArray;
+    typedef py::array_t<bool,   py::array::c_style | py::array::forcecast> MaskArray;
+    typedef py::array_t<int,    py::array::c_style | py::array::forcecast> EdgeArray;
+    typedef py::array_t<int,    py::array::c_style | py::array::forcecast> NeighborArray;
 
     /* A single boundary is a vector of the TriEdges that make up that boundary
      * following it around with unmasked triangles on the left. */
@@ -186,13 +185,17 @@ class Triangulation
      *          once.
      *   neighbors: Optional int array of shape (ntri,3) indicating which
      *              triangles are the neighbors of which TriEdges, or -1 if
-     *              there is no such neighbor. */
+     *              there is no such neighbor.
+     *   correct_triangle_orientations: Whether or not should correct triangle
+     *                                  orientations so that vertices are
+     *                                  ordered anticlockwise. */
     Triangulation(const CoordinateArray& x,
                   const CoordinateArray& y,
                   const TriangleArray& triangles,
                   const MaskArray& mask,
                   const EdgeArray& edges,
-                  const NeighborArray& neighbors);
+                  const NeighborArray& neighbors,
+                  bool correct_triangle_orientations);
 
     /* Calculate plane equation coefficients for all unmasked triangles from
      * the point (x,y) coordinates and point z-array of shape (npoints) passed
@@ -251,7 +254,7 @@ class Triangulation
 
 private:
     // An edge of a triangulation, composed of start and end point indices.
-    struct Edge
+    struct Edge final
     {
         Edge() : start(-1), end(-1) {}
         Edge(int start_, int end_) : start(start_), end(end_) {}
@@ -264,7 +267,7 @@ class Triangulation
     /* An edge of a boundary of a triangulation, composed of a boundary index
      * and an edge index within that boundary.  Used to index into the
      * boundaries collection to obtain the corresponding TriEdge. */
-    struct BoundaryEdge
+    struct BoundaryEdge final
     {
         BoundaryEdge() : boundary(-1), edge(-1) {}
         BoundaryEdge(int boundary_, int edge_)
@@ -292,7 +295,11 @@ class Triangulation
      * the specified triangle, or -1 if the point is not in the triangle. */
     int get_edge_in_triangle(int tri, int point) const;
 
+    bool has_edges() const;
 
+    bool has_mask() const;
+
+    bool has_neighbors() const;
 
 
     // Variables shared with python, always set.
@@ -300,11 +307,11 @@ class Triangulation
     TriangleArray _triangles;  // int array (ntri,3) of triangle point indices,
                                //     ordered anticlockwise.
 
-    // Variables shared with python, may be zero.
+    // Variables shared with python, may be unset (size == 0).
     MaskArray _mask;           // bool array (ntri).
 
-    // Derived variables shared with python, may be zero.  If zero, are
-    // recalculated when needed.
+    // Derived variables shared with python, may be unset (size == 0).
+    // If unset, are recalculated when needed.
     EdgeArray _edges;          // int array (?,2) of start & end point indices.
     NeighborArray _neighbors;  // int array (ntri,3), neighbor triangle indices
                                //     or -1 if no neighbor.
@@ -321,10 +328,12 @@ class Triangulation
 
 
 // Contour generator for a triangulation.
-class TriContourGenerator
+class TriContourGenerator final
 {
 public:
     typedef Triangulation::CoordinateArray CoordinateArray;
+    typedef Triangulation::TwoCoordinateArray TwoCoordinateArray;
+    typedef py::array_t<unsigned char> CodeArray;
 
     /* Constructor.
      *   triangulation: Triangulation to generate contours for.
@@ -338,7 +347,7 @@ class TriContourGenerator
      * Returns new python list [segs0, segs1, ...] where
      *   segs0: double array of shape (?,2) of point coordinates of first
      *   contour line, etc. */
-    PyObject* create_contour(const double& level);
+    py::tuple create_contour(const double& level);
 
     /* Create and return a filled contour.
      *   lower_level: Lower contour level.
@@ -346,7 +355,7 @@ class TriContourGenerator
      * Returns new python tuple (segs, kinds) where
      *   segs: double array of shape (n_points,2) of all point coordinates,
      *   kinds: ubyte array of shape (n_points) of all point code types. */
-    PyObject* create_filled_contour(const double& lower_level,
+    py::tuple create_filled_contour(const double& lower_level,
                                     const double& upper_level);
 
 private:
@@ -359,16 +368,19 @@ class TriContourGenerator
     void clear_visited_flags(bool include_boundaries);
 
     /* Convert a non-filled Contour from C++ to Python.
-     * Returns new python list [segs0, segs1, ...] where
-     *   segs0: double array of shape (?,2) of point coordinates of first
-     *   contour line, etc. */
-    PyObject* contour_to_segs(const Contour& contour);
+     * Returns new python tuple ([segs0, segs1, ...], [kinds0, kinds1...])
+     * where
+     *   segs0: double array of shape (n_points,2) of point coordinates of first
+     *   contour line, etc.
+     *   kinds0: ubyte array of shape (n_points) of kinds codes of first contour
+     *   line, etc. */
+    py::tuple contour_line_to_segs_and_kinds(const Contour& contour);
 
     /* Convert a filled Contour from C++ to Python.
-     * Returns new python tuple (segs, kinds) where
+     * Returns new python tuple ([segs], [kinds]) where
      *   segs: double array of shape (n_points,2) of all point coordinates,
      *   kinds: ubyte array of shape (n_points) of all point code types. */
-    PyObject* contour_to_segs_and_kinds(const Contour& contour);
+    py::tuple contour_to_segs_and_kinds(const Contour& contour);
 
     /* Return the point on the specified TriEdge that intersects the specified
      * level. */
@@ -395,12 +407,10 @@ class TriContourGenerator
      * intersect any boundary.
      *   contour: Contour to add new lines to.
      *   level: Contour level.
-     *   on_upper: Whether on upper or lower contour level.
-     *   filled: Whether contours are filled or not. */
+     *   on_upper: Whether on upper or lower contour level. */
     void find_interior_lines(Contour& contour,
                              const double& level,
-                             bool on_upper,
-                             bool filled);
+                             bool on_upper);
 
     /* Follow contour line around boundary of the Triangulation from the
      * specified TriEdge to its end which can be on either the lower or upper
@@ -453,7 +463,7 @@ class TriContourGenerator
 
 
     // Variables shared with python, always set.
-    Triangulation& _triangulation;
+    Triangulation _triangulation;
     CoordinateArray _z;        // double array (npoints).
 
     // Variables internal to C++ only.
@@ -496,11 +506,11 @@ class TriContourGenerator
  * colinear points but only in the simplest of cases.  No explicit testing of
  * the validity of the triangulation is performed as this is a computationally
  * more complex task than the trifinding itself. */
-class TrapezoidMapTriFinder
+class TrapezoidMapTriFinder final
 {
 public:
     typedef Triangulation::CoordinateArray CoordinateArray;
-    typedef numpy::array_view<int, 1> TriIndexArray;
+    typedef py::array_t<int, py::array::c_style | py::array::forcecast> TriIndexArray;
 
     /* Constructor.  A separate call to initialize() is required to initialize
      * the object before use.
@@ -526,7 +536,7 @@ class TrapezoidMapTriFinder
      *          comparisons needed to search through the tree)
      *   6: mean of all trapezoid depths (one more than the average number of
      *          comparisons needed to search through the tree) */
-    PyObject* get_tree_stats();
+    py::list get_tree_stats();
 
     /* Initialize this object before use.  May be called multiple times, if,
      * for example, the triangulation is changed by setting the mask. */
@@ -539,7 +549,7 @@ class TrapezoidMapTriFinder
     /* A Point consists of x,y coordinates as well as the index of a triangle
      * associated with the point, so that a search at this point's coordinates
      * can return a valid triangle index. */
-    struct Point : XY
+    struct Point final : XY
     {
         Point() : XY(), tri(-1) {}
         Point(const double& x, const double& y) : XY(x,y), tri(-1) {}
@@ -553,7 +563,7 @@ class TrapezoidMapTriFinder
      * the Edge which are used to map from trapezoid to triangle index.  Also
      * stores pointers to the 3rd points of the below and above triangles,
      * which are only used to disambiguate triangles with colinear points. */
-    struct Edge
+    struct Edge final
     {
         Edge(const Point* left_,
              const Point* right_,
@@ -596,7 +606,7 @@ class TrapezoidMapTriFinder
     class Node;  // Forward declaration.
 
     // Helper structure used by TrapezoidMapTriFinder::get_tree_stats.
-    struct NodeStats
+    struct NodeStats final
     {
         NodeStats()
             : node_count(0), trapezoid_count(0), max_parent_count(0),
@@ -620,7 +630,7 @@ class TrapezoidMapTriFinder
      * The parent collection acts as a reference count to the number of times
      * a Node occurs in the search tree.  When the parent count is reduced to
      * zero a Node can be safely deleted. */
-    class Node
+    class Node final
     {
     public:
         Node(const Point* point, Node* left, Node* right);// Type_XNode.
@@ -705,7 +715,7 @@ class TrapezoidMapTriFinder
      * To obtain the index of the triangle corresponding to a particular
      * Trapezoid, use the Edge member variables below.triangle_above or
      * above.triangle_below. */
-    struct Trapezoid
+    struct Trapezoid final
     {
         Trapezoid(const Point* left_,
                   const Point* right_,
@@ -784,28 +794,4 @@ class TrapezoidMapTriFinder
     Node* _tree;    // Root node of the trapezoid map search tree.  Owned.
 };
 
-
-
-/* Linear congruential random number generator.  Edges in the triangulation are
- * randomly shuffled before being added to the trapezoid map.  Want the
- * shuffling to be identical across different operating systems and the same
- * regardless of previous random number use.  Would prefer to use a STL or
- * Boost random number generator, but support is not consistent across
- * different operating systems so implementing own here.
- *
- * This is not particularly random, but is perfectly adequate for the use here.
- * Coefficients taken from Numerical Recipes in C. */
-class RandomNumberGenerator
-{
-public:
-    RandomNumberGenerator(unsigned long seed);
-
-    // Return random integer in the range 0 to max_value-1.
-    unsigned long operator()(unsigned long max_value);
-
-private:
-    const unsigned long _m, _a, _c;
-    unsigned long _seed;
-};
-
 #endif
diff --git a/src/tri/_tri_wrapper.cpp b/src/tri/_tri_wrapper.cpp
new file mode 100644
index 000000000000..732e1af5f310
--- /dev/null
+++ b/src/tri/_tri_wrapper.cpp
@@ -0,0 +1,61 @@
+#include "_tri.h"
+
+using namespace pybind11::literals;
+
+PYBIND11_MODULE(_tri, m, py::mod_gil_not_used())
+{
+    py::class_<Triangulation>(m, "Triangulation", py::is_final())
+        .def(py::init<const Triangulation::CoordinateArray&,
+                      const Triangulation::CoordinateArray&,
+                      const Triangulation::TriangleArray&,
+                      const Triangulation::MaskArray&,
+                      const Triangulation::EdgeArray&,
+                      const Triangulation::NeighborArray&,
+                      bool>(),
+            "x"_a,
+            "y"_a,
+            "triangles"_a,
+            "mask"_a,
+            "edges"_a,
+            "neighbors"_a,
+            "correct_triangle_orientations"_a,
+            "Create a new C++ Triangulation object.\n"
+            "This should not be called directly, use the python class\n"
+            "matplotlib.tri.Triangulation instead.\n")
+        .def("calculate_plane_coefficients", &Triangulation::calculate_plane_coefficients,
+            "Calculate plane equation coefficients for all unmasked triangles.")
+        .def("get_edges", &Triangulation::get_edges,
+            "Return edges array.")
+        .def("get_neighbors", &Triangulation::get_neighbors,
+            "Return neighbors array.")
+        .def("set_mask", &Triangulation::set_mask,
+            "Set or clear the mask array.");
+
+    py::class_<TriContourGenerator>(m, "TriContourGenerator", py::is_final())
+        .def(py::init<Triangulation&,
+                      const TriContourGenerator::CoordinateArray&>(),
+            "triangulation"_a,
+            "z"_a,
+            "Create a new C++ TriContourGenerator object.\n"
+            "This should not be called directly, use the functions\n"
+            "matplotlib.axes.tricontour and tricontourf instead.\n")
+        .def("create_contour", &TriContourGenerator::create_contour,
+            "Create and return a non-filled contour.")
+        .def("create_filled_contour", &TriContourGenerator::create_filled_contour,
+            "Create and return a filled contour.");
+
+    py::class_<TrapezoidMapTriFinder>(m, "TrapezoidMapTriFinder", py::is_final())
+        .def(py::init<Triangulation&>(),
+            "triangulation"_a,
+            "Create a new C++ TrapezoidMapTriFinder object.\n"
+            "This should not be called directly, use the python class\n"
+            "matplotlib.tri.TrapezoidMapTriFinder instead.\n")
+        .def("find_many", &TrapezoidMapTriFinder::find_many,
+            "Find indices of triangles containing the point coordinates (x, y).")
+        .def("get_tree_stats", &TrapezoidMapTriFinder::get_tree_stats,
+            "Return statistics about the tree used by the trapezoid map.")
+        .def("initialize", &TrapezoidMapTriFinder::initialize,
+            "Initialize this object, creating the trapezoid map from the triangulation.")
+        .def("print_tree", &TrapezoidMapTriFinder::print_tree,
+            "Print the search tree as text to stdout; useful for debug purposes.");
+}
diff --git a/subprojects/freetype-2.6.1.wrap b/subprojects/freetype-2.6.1.wrap
new file mode 100644
index 000000000000..763362b84df0
--- /dev/null
+++ b/subprojects/freetype-2.6.1.wrap
@@ -0,0 +1,10 @@
+[wrap-file]
+source_url = https://download.savannah.gnu.org/releases/freetype/freetype-old/freetype-2.6.1.tar.gz
+source_fallback_url = https://downloads.sourceforge.net/project/freetype/freetype2/2.6.1/freetype-2.6.1.tar.gz
+source_filename = freetype-2.6.1.tar.gz
+source_hash = 0a3c7dfbda6da1e8fce29232e8e96d987ababbbf71ebc8c75659e4132c367014
+
+patch_directory = freetype-2.6.1-meson
+
+[provide]
+freetype-2.6.1 = freetype_dep
diff --git a/subprojects/packagefiles/freetype-2.6.1-meson/LICENSE.build b/subprojects/packagefiles/freetype-2.6.1-meson/LICENSE.build
new file mode 100644
index 000000000000..ec288041f388
--- /dev/null
+++ b/subprojects/packagefiles/freetype-2.6.1-meson/LICENSE.build
@@ -0,0 +1,19 @@
+Copyright (c) 2018 The Meson development team
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/subprojects/packagefiles/freetype-2.6.1-meson/builds/unix/ftconfig.h.in b/subprojects/packagefiles/freetype-2.6.1-meson/builds/unix/ftconfig.h.in
new file mode 100644
index 000000000000..400f3a2a5bf2
--- /dev/null
+++ b/subprojects/packagefiles/freetype-2.6.1-meson/builds/unix/ftconfig.h.in
@@ -0,0 +1,498 @@
+/***************************************************************************/
+/*                                                                         */
+/*  ftconfig.in                                                            */
+/*                                                                         */
+/*    UNIX-specific configuration file (specification only).               */
+/*                                                                         */
+/*  Copyright 1996-2015 by                                                 */
+/*  David Turner, Robert Wilhelm, and Werner Lemberg.                      */
+/*                                                                         */
+/*  This file is part of the FreeType project, and may only be used,       */
+/*  modified, and distributed under the terms of the FreeType project      */
+/*  license, LICENSE.TXT.  By continuing to use, modify, or distribute     */
+/*  this file you indicate that you have read the license and              */
+/*  understand and accept it fully.                                        */
+/*                                                                         */
+/***************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* This header file contains a number of macro definitions that are used */
+  /* by the rest of the engine.  Most of the macros here are automatically */
+  /* determined at compile time, and you should not need to change it to   */
+  /* port FreeType, except to compile the library with a non-ANSI          */
+  /* compiler.                                                             */
+  /*                                                                       */
+  /* Note however that if some specific modifications are needed, we       */
+  /* advise you to place a modified copy in your build directory.          */
+  /*                                                                       */
+  /* The build directory is usually `builds/<system>', and contains        */
+  /* system-specific files that are always included first when building    */
+  /* the library.                                                          */
+  /*                                                                       */
+  /*************************************************************************/
+
+/* MESON: based on unix/ftconfig.in with but meson-friendly configuration defines */
+
+#ifndef FTCONFIG_H_
+#define FTCONFIG_H_
+
+#include <ft2build.h>
+#include FT_CONFIG_OPTIONS_H
+#include FT_CONFIG_STANDARD_LIBRARY_H
+
+
+FT_BEGIN_HEADER
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /*               PLATFORM-SPECIFIC CONFIGURATION MACROS                  */
+  /*                                                                       */
+  /* These macros can be toggled to suit a specific system.  The current   */
+  /* ones are defaults used to compile FreeType in an ANSI C environment   */
+  /* (16bit compilers are also supported).  Copy this file to your own     */
+  /* `builds/<system>' directory, and edit it to port the engine.          */
+  /*                                                                       */
+  /*************************************************************************/
+
+
+#define HAVE_UNISTD_H @HAVE_UNISTD_H@
+#define HAVE_FCNTL_H @HAVE_FCNTL_H@
+#define HAVE_STDINT_H @HAVE_STDINT_H@
+
+
+  /* There are systems (like the Texas Instruments 'C54x) where a `char' */
+  /* has 16 bits.  ANSI C says that sizeof(char) is always 1.  Since an  */
+  /* `int' has 16 bits also for this system, sizeof(int) gives 1 which   */
+  /* is probably unexpected.                                             */
+  /*                                                                     */
+  /* `CHAR_BIT' (defined in limits.h) gives the number of bits in a      */
+  /* `char' type.                                                        */
+
+#ifndef FT_CHAR_BIT
+#define FT_CHAR_BIT  CHAR_BIT
+#endif
+
+
+#undef FT_USE_AUTOCONF_SIZEOF_TYPES
+#ifdef FT_USE_AUTOCONF_SIZEOF_TYPES
+
+#undef SIZEOF_INT
+#undef SIZEOF_LONG
+#define FT_SIZEOF_INT  SIZEOF_INT
+#define FT_SIZEOF_LONG SIZEOF_LONG
+
+#else /* !FT_USE_AUTOCONF_SIZEOF_TYPES */
+
+  /* Following cpp computation of the bit length of int and long */
+  /* is copied from default include/freetype/config/ftconfig.h.  */
+  /* If any improvement is required for this file, it should be  */
+  /* applied to the original header file for the builders that   */
+  /* do not use configure script.                                */
+
+  /* The size of an `int' type.  */
+#if                                 FT_UINT_MAX == 0xFFFFUL
+#define FT_SIZEOF_INT  (16 / FT_CHAR_BIT)
+#elif                               FT_UINT_MAX == 0xFFFFFFFFUL
+#define FT_SIZEOF_INT  (32 / FT_CHAR_BIT)
+#elif FT_UINT_MAX > 0xFFFFFFFFUL && FT_UINT_MAX == 0xFFFFFFFFFFFFFFFFUL
+#define FT_SIZEOF_INT  (64 / FT_CHAR_BIT)
+#else
+#error "Unsupported size of `int' type!"
+#endif
+
+  /* The size of a `long' type.  A five-byte `long' (as used e.g. on the */
+  /* DM642) is recognized but avoided.                                   */
+#if                                  FT_ULONG_MAX == 0xFFFFFFFFUL
+#define FT_SIZEOF_LONG  (32 / FT_CHAR_BIT)
+#elif FT_ULONG_MAX > 0xFFFFFFFFUL && FT_ULONG_MAX == 0xFFFFFFFFFFUL
+#define FT_SIZEOF_LONG  (32 / FT_CHAR_BIT)
+#elif FT_ULONG_MAX > 0xFFFFFFFFUL && FT_ULONG_MAX == 0xFFFFFFFFFFFFFFFFUL
+#define FT_SIZEOF_LONG  (64 / FT_CHAR_BIT)
+#else
+#error "Unsupported size of `long' type!"
+#endif
+
+#endif /* !FT_USE_AUTOCONF_SIZEOF_TYPES */
+
+
+  /* FT_UNUSED is a macro used to indicate that a given parameter is not  */
+  /* used -- this is only used to get rid of unpleasant compiler warnings */
+#ifndef FT_UNUSED
+#define FT_UNUSED( arg )  ( (arg) = (arg) )
+#endif
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /*                     AUTOMATIC CONFIGURATION MACROS                    */
+  /*                                                                       */
+  /* These macros are computed from the ones defined above.  Don't touch   */
+  /* their definition, unless you know precisely what you are doing.  No   */
+  /* porter should need to mess with them.                                 */
+  /*                                                                       */
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Mac support                                                           */
+  /*                                                                       */
+  /*   This is the only necessary change, so it is defined here instead    */
+  /*   providing a new configuration file.                                 */
+  /*                                                                       */
+#if defined( __APPLE__ ) || ( defined( __MWERKS__ ) && defined( macintosh ) )
+  /* no Carbon frameworks for 64bit 10.4.x */
+  /* AvailabilityMacros.h is available since Mac OS X 10.2,        */
+  /* so guess the system version by maximum errno before inclusion */
+#include <errno.h>
+#ifdef ECANCELED /* defined since 10.2 */
+#include "AvailabilityMacros.h"
+#endif
+#if defined( __LP64__ ) && \
+    ( MAC_OS_X_VERSION_MIN_REQUIRED <= MAC_OS_X_VERSION_10_4 )
+/undef FT_MACINTOSH
+#endif
+
+#elif defined( __SC__ ) || defined( __MRC__ )
+  /* Classic MacOS compilers */
+#include "ConditionalMacros.h"
+#if TARGET_OS_MAC
+#define FT_MACINTOSH 1
+#endif
+
+#endif
+
+
+  /* Fix compiler warning with sgi compiler */
+#if defined( __sgi ) && !defined( __GNUC__ )
+#if defined( _COMPILER_VERSION ) && ( _COMPILER_VERSION >= 730 )
+#pragma set woff 3505
+#endif
+#endif
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Section>                                                             */
+  /*    basic_types                                                        */
+  /*                                                                       */
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_Int16                                                           */
+  /*                                                                       */
+  /* <Description>                                                         */
+  /*    A typedef for a 16bit signed integer type.                         */
+  /*                                                                       */
+  typedef signed short  FT_Int16;
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_UInt16                                                          */
+  /*                                                                       */
+  /* <Description>                                                         */
+  /*    A typedef for a 16bit unsigned integer type.                       */
+  /*                                                                       */
+  typedef unsigned short  FT_UInt16;
+
+  /* */
+
+
+  /* this #if 0 ... #endif clause is for documentation purposes */
+#if 0
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_Int32                                                           */
+  /*                                                                       */
+  /* <Description>                                                         */
+  /*    A typedef for a 32bit signed integer type.  The size depends on    */
+  /*    the configuration.                                                 */
+  /*                                                                       */
+  typedef signed XXX  FT_Int32;
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_UInt32                                                          */
+  /*                                                                       */
+  /*    A typedef for a 32bit unsigned integer type.  The size depends on  */
+  /*    the configuration.                                                 */
+  /*                                                                       */
+  typedef unsigned XXX  FT_UInt32;
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_Int64                                                           */
+  /*                                                                       */
+  /*    A typedef for a 64bit signed integer type.  The size depends on    */
+  /*    the configuration.  Only defined if there is real 64bit support;   */
+  /*    otherwise, it gets emulated with a structure (if necessary).       */
+  /*                                                                       */
+  typedef signed XXX  FT_Int64;
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* <Type>                                                                */
+  /*    FT_UInt64                                                          */
+  /*                                                                       */
+  /*    A typedef for a 64bit unsigned integer type.  The size depends on  */
+  /*    the configuration.  Only defined if there is real 64bit support;   */
+  /*    otherwise, it gets emulated with a structure (if necessary).       */
+  /*                                                                       */
+  typedef unsigned XXX  FT_UInt64;
+
+  /* */
+
+#endif
+
+#if FT_SIZEOF_INT == 4
+
+  typedef signed int      FT_Int32;
+  typedef unsigned int    FT_UInt32;
+
+#elif FT_SIZEOF_LONG == 4
+
+  typedef signed long     FT_Int32;
+  typedef unsigned long   FT_UInt32;
+
+#else
+#error "no 32bit type found -- please check your configuration files"
+#endif
+
+
+  /* look up an integer type that is at least 32 bits */
+#if FT_SIZEOF_INT >= 4
+
+  typedef int            FT_Fast;
+  typedef unsigned int   FT_UFast;
+
+#elif FT_SIZEOF_LONG >= 4
+
+  typedef long           FT_Fast;
+  typedef unsigned long  FT_UFast;
+
+#endif
+
+
+  /* determine whether we have a 64-bit int type for platforms without */
+  /* Autoconf                                                          */
+#if FT_SIZEOF_LONG == 8
+
+  /* FT_LONG64 must be defined if a 64-bit type is available */
+#define FT_LONG64
+#define FT_INT64   long
+#define FT_UINT64  unsigned long
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* A 64-bit data type may create compilation problems if you compile     */
+  /* in strict ANSI mode.  To avoid them, we disable other 64-bit data     */
+  /* types if __STDC__ is defined.  You can however ignore this rule       */
+  /* by defining the FT_CONFIG_OPTION_FORCE_INT64 configuration macro.     */
+  /*                                                                       */
+#elif !defined( __STDC__ ) || defined( FT_CONFIG_OPTION_FORCE_INT64 )
+
+#if defined( _MSC_VER ) && _MSC_VER >= 900  /* Visual C++ (and Intel C++) */
+
+  /* this compiler provides the __int64 type */
+#define FT_LONG64
+#define FT_INT64   __int64
+#define FT_UINT64  unsigned __int64
+
+#elif defined( __BORLANDC__ )  /* Borland C++ */
+
+  /* XXXX: We should probably check the value of __BORLANDC__ in order */
+  /*       to test the compiler version.                               */
+
+  /* this compiler provides the __int64 type */
+#define FT_LONG64
+#define FT_INT64   __int64
+#define FT_UINT64  unsigned __int64
+
+#elif defined( __WATCOMC__ )   /* Watcom C++ */
+
+  /* Watcom doesn't provide 64-bit data types */
+
+#elif defined( __MWERKS__ )    /* Metrowerks CodeWarrior */
+
+#define FT_LONG64
+#define FT_INT64   long long int
+#define FT_UINT64  unsigned long long int
+
+#elif defined( __GNUC__ )
+
+  /* GCC provides the `long long' type */
+#define FT_LONG64
+#define FT_INT64   long long int
+#define FT_UINT64  unsigned long long int
+
+#endif /* _MSC_VER */
+
+#endif /* FT_SIZEOF_LONG == 8 */
+
+#ifdef FT_LONG64
+  typedef FT_INT64   FT_Int64;
+  typedef FT_UINT64  FT_UInt64;
+#endif
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* miscellaneous                                                         */
+  /*                                                                       */
+  /*************************************************************************/
+
+
+#define FT_BEGIN_STMNT  do {
+#define FT_END_STMNT    } while ( 0 )
+#define FT_DUMMY_STMNT  FT_BEGIN_STMNT FT_END_STMNT
+
+
+  /* typeof condition taken from gnulib's `intprops.h' header file */
+#if ( __GNUC__ >= 2                         || \
+      defined( __IBM__TYPEOF__ )            || \
+      ( __SUNPRO_C >= 0x5110 && !__STDC__ ) )
+#define FT_TYPEOF( type )  (__typeof__ (type))
+#else
+#define FT_TYPEOF( type )  /* empty */
+#endif
+
+
+#ifdef FT_MAKE_OPTION_SINGLE_OBJECT
+
+#define FT_LOCAL( x )      static  x
+#define FT_LOCAL_DEF( x )  static  x
+
+#else
+
+#ifdef __cplusplus
+#define FT_LOCAL( x )      extern "C"  x
+#define FT_LOCAL_DEF( x )  extern "C"  x
+#else
+#define FT_LOCAL( x )      extern  x
+#define FT_LOCAL_DEF( x )  x
+#endif
+
+#endif /* FT_MAKE_OPTION_SINGLE_OBJECT */
+
+#define FT_LOCAL_ARRAY( x )      extern const  x
+#define FT_LOCAL_ARRAY_DEF( x )  const  x
+
+
+#ifndef FT_BASE
+
+#ifdef __cplusplus
+#define FT_BASE( x )  extern "C"  x
+#else
+#define FT_BASE( x )  extern  x
+#endif
+
+#endif /* !FT_BASE */
+
+
+#ifndef FT_BASE_DEF
+
+#ifdef __cplusplus
+#define FT_BASE_DEF( x )  x
+#else
+#define FT_BASE_DEF( x )  x
+#endif
+
+#endif /* !FT_BASE_DEF */
+
+
+#ifndef FT_EXPORT
+
+#ifdef __cplusplus
+#define FT_EXPORT( x )  extern "C"  x
+#else
+#define FT_EXPORT( x )  extern  x
+#endif
+
+#endif /* !FT_EXPORT */
+
+
+#ifndef FT_EXPORT_DEF
+
+#ifdef __cplusplus
+#define FT_EXPORT_DEF( x )  extern "C"  x
+#else
+#define FT_EXPORT_DEF( x )  extern  x
+#endif
+
+#endif /* !FT_EXPORT_DEF */
+
+
+#ifndef FT_EXPORT_VAR
+
+#ifdef __cplusplus
+#define FT_EXPORT_VAR( x )  extern "C"  x
+#else
+#define FT_EXPORT_VAR( x )  extern  x
+#endif
+
+#endif /* !FT_EXPORT_VAR */
+
+  /* The following macros are needed to compile the library with a   */
+  /* C++ compiler and with 16bit compilers.                          */
+  /*                                                                 */
+
+  /* This is special.  Within C++, you must specify `extern "C"' for */
+  /* functions which are used via function pointers, and you also    */
+  /* must do that for structures which contain function pointers to  */
+  /* assure C linkage -- it's not possible to have (local) anonymous */
+  /* functions which are accessed by (global) function pointers.     */
+  /*                                                                 */
+  /*                                                                 */
+  /* FT_CALLBACK_DEF is used to _define_ a callback function.        */
+  /*                                                                 */
+  /* FT_CALLBACK_TABLE is used to _declare_ a constant variable that */
+  /* contains pointers to callback functions.                        */
+  /*                                                                 */
+  /* FT_CALLBACK_TABLE_DEF is used to _define_ a constant variable   */
+  /* that contains pointers to callback functions.                   */
+  /*                                                                 */
+  /*                                                                 */
+  /* Some 16bit compilers have to redefine these macros to insert    */
+  /* the infamous `_cdecl' or `__fastcall' declarations.             */
+  /*                                                                 */
+#ifndef FT_CALLBACK_DEF
+#ifdef __cplusplus
+#define FT_CALLBACK_DEF( x )  extern "C"  x
+#else
+#define FT_CALLBACK_DEF( x )  static  x
+#endif
+#endif /* FT_CALLBACK_DEF */
+
+#ifndef FT_CALLBACK_TABLE
+#ifdef __cplusplus
+#define FT_CALLBACK_TABLE      extern "C"
+#define FT_CALLBACK_TABLE_DEF  extern "C"
+#else
+#define FT_CALLBACK_TABLE      extern
+#define FT_CALLBACK_TABLE_DEF  /* nothing */
+#endif
+#endif /* FT_CALLBACK_TABLE */
+
+
+FT_END_HEADER
+
+
+#endif /* FTCONFIG_H_ */
+
+
+/* END */
diff --git a/subprojects/packagefiles/freetype-2.6.1-meson/include/freetype/config/ftoption.h.in b/subprojects/packagefiles/freetype-2.6.1-meson/include/freetype/config/ftoption.h.in
new file mode 100644
index 000000000000..5df84c706800
--- /dev/null
+++ b/subprojects/packagefiles/freetype-2.6.1-meson/include/freetype/config/ftoption.h.in
@@ -0,0 +1,886 @@
+/***************************************************************************/
+/*                                                                         */
+/*  ftoption.h                                                             */
+/*                                                                         */
+/*    User-selectable configuration macros (specification only).           */
+/*                                                                         */
+/*  Copyright 1996-2015 by                                                 */
+/*  David Turner, Robert Wilhelm, and Werner Lemberg.                      */
+/*                                                                         */
+/*  This file is part of the FreeType project, and may only be used,       */
+/*  modified, and distributed under the terms of the FreeType project      */
+/*  license, LICENSE.TXT.  By continuing to use, modify, or distribute     */
+/*  this file you indicate that you have read the license and              */
+/*  understand and accept it fully.                                        */
+/*                                                                         */
+/***************************************************************************/
+
+
+#ifndef FTOPTION_H_
+#define FTOPTION_H_
+
+
+#include <ft2build.h>
+
+
+FT_BEGIN_HEADER
+
+  /*************************************************************************/
+  /*                                                                       */
+  /*                 USER-SELECTABLE CONFIGURATION MACROS                  */
+  /*                                                                       */
+  /* This file contains the default configuration macro definitions for    */
+  /* a standard build of the FreeType library.  There are three ways to    */
+  /* use this file to build project-specific versions of the library:      */
+  /*                                                                       */
+  /*  - You can modify this file by hand, but this is not recommended in   */
+  /*    cases where you would like to build several versions of the        */
+  /*    library from a single source directory.                            */
+  /*                                                                       */
+  /*  - You can put a copy of this file in your build directory, more      */
+  /*    precisely in `$BUILD/freetype/config/ftoption.h', where `$BUILD'   */
+  /*    is the name of a directory that is included _before_ the FreeType  */
+  /*    include path during compilation.                                   */
+  /*                                                                       */
+  /*    The default FreeType Makefiles and Jamfiles use the build          */
+  /*    directory `builds/<system>' by default, but you can easily change  */
+  /*    that for your own projects.                                        */
+  /*                                                                       */
+  /*  - Copy the file <ft2build.h> to `$BUILD/ft2build.h' and modify it    */
+  /*    slightly to pre-define the macro FT_CONFIG_OPTIONS_H used to       */
+  /*    locate this file during the build.  For example,                   */
+  /*                                                                       */
+  /*      #define FT_CONFIG_OPTIONS_H  <myftoptions.h>                     */
+  /*      #include <freetype/config/ftheader.h>                            */
+  /*                                                                       */
+  /*    will use `$BUILD/myftoptions.h' instead of this file for macro     */
+  /*    definitions.                                                       */
+  /*                                                                       */
+  /*    Note also that you can similarly pre-define the macro              */
+  /*    FT_CONFIG_MODULES_H used to locate the file listing of the modules */
+  /*    that are statically linked to the library at compile time.  By     */
+  /*    default, this file is <freetype/config/ftmodule.h>.                */
+  /*                                                                       */
+  /* We highly recommend using the third method whenever possible.         */
+  /*                                                                       */
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /**** G E N E R A L   F R E E T Y P E   2   C O N F I G U R A T I O N ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Uncomment the line below if you want to activate sub-pixel rendering  */
+  /* (a.k.a. LCD rendering, or ClearType) in this build of the library.    */
+  /*                                                                       */
+  /* Note that this feature is covered by several Microsoft patents        */
+  /* and should not be activated in any default build of the library.      */
+  /*                                                                       */
+  /* This macro has no impact on the FreeType API, only on its             */
+  /* _implementation_.  For example, using FT_RENDER_MODE_LCD when calling */
+  /* FT_Render_Glyph still generates a bitmap that is 3 times wider than   */
+  /* the original size in case this macro isn't defined; however, each     */
+  /* triplet of subpixels has R=G=B.                                       */
+  /*                                                                       */
+  /* This is done to allow FreeType clients to run unmodified, forcing     */
+  /* them to display normal gray-level anti-aliased glyphs.                */
+  /*                                                                       */
+/* #define FT_CONFIG_OPTION_SUBPIXEL_RENDERING */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Many compilers provide a non-ANSI 64-bit data type that can be used   */
+  /* by FreeType to speed up some computations.  However, this will create */
+  /* some problems when compiling the library in strict ANSI mode.         */
+  /*                                                                       */
+  /* For this reason, the use of 64-bit integers is normally disabled when */
+  /* the __STDC__ macro is defined.  You can however disable this by       */
+  /* defining the macro FT_CONFIG_OPTION_FORCE_INT64 here.                 */
+  /*                                                                       */
+  /* For most compilers, this will only create compilation warnings when   */
+  /* building the library.                                                 */
+  /*                                                                       */
+  /* ObNote: The compiler-specific 64-bit integers are detected in the     */
+  /*         file `ftconfig.h' either statically or through the            */
+  /*         `configure' script on supported platforms.                    */
+  /*                                                                       */
+#undef FT_CONFIG_OPTION_FORCE_INT64
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* If this macro is defined, do not try to use an assembler version of   */
+  /* performance-critical functions (e.g. FT_MulFix).  You should only do  */
+  /* that to verify that the assembler function works properly, or to      */
+  /* execute benchmark tests of the various implementations.               */
+/* #define FT_CONFIG_OPTION_NO_ASSEMBLER */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* If this macro is defined, try to use an inlined assembler version of  */
+  /* the `FT_MulFix' function, which is a `hotspot' when loading and       */
+  /* hinting glyphs, and which should be executed as fast as possible.     */
+  /*                                                                       */
+  /* Note that if your compiler or CPU is not supported, this will default */
+  /* to the standard and portable implementation found in `ftcalc.c'.      */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_INLINE_MULFIX
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* LZW-compressed file support.                                          */
+  /*                                                                       */
+  /*   FreeType now handles font files that have been compressed with the  */
+  /*   `compress' program.  This is mostly used to parse many of the PCF   */
+  /*   files that come with various X11 distributions.  The implementation */
+  /*   uses NetBSD's `zopen' to partially uncompress the file on the fly   */
+  /*   (see src/lzw/ftgzip.c).                                             */
+  /*                                                                       */
+  /*   Define this macro if you want to enable this `feature'.             */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_USE_LZW
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Gzip-compressed file support.                                         */
+  /*                                                                       */
+  /*   FreeType now handles font files that have been compressed with the  */
+  /*   `gzip' program.  This is mostly used to parse many of the PCF files */
+  /*   that come with XFree86.  The implementation uses `zlib' to          */
+  /*   partially uncompress the file on the fly (see src/gzip/ftgzip.c).   */
+  /*                                                                       */
+  /*   Define this macro if you want to enable this `feature'.  See also   */
+  /*   the macro FT_CONFIG_OPTION_SYSTEM_ZLIB below.                       */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_USE_ZLIB
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* ZLib library selection                                                */
+  /*                                                                       */
+  /*   This macro is only used when FT_CONFIG_OPTION_USE_ZLIB is defined.  */
+  /*   It allows FreeType's `ftgzip' component to link to the system's     */
+  /*   installation of the ZLib library.  This is useful on systems like   */
+  /*   Unix or VMS where it generally is already available.                */
+  /*                                                                       */
+  /*   If you let it undefined, the component will use its own copy        */
+  /*   of the zlib sources instead.  These have been modified to be        */
+  /*   included directly within the component and *not* export external    */
+  /*   function names.  This allows you to link any program with FreeType  */
+  /*   _and_ ZLib without linking conflicts.                               */
+  /*                                                                       */
+  /*   Do not #undef this macro here since the build system might define   */
+  /*   it for certain configurations only.                                 */
+  /*                                                                       */
+#mesondefine FT_CONFIG_OPTION_SYSTEM_ZLIB
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Bzip2-compressed file support.                                        */
+  /*                                                                       */
+  /*   FreeType now handles font files that have been compressed with the  */
+  /*   `bzip2' program.  This is mostly used to parse many of the PCF      */
+  /*   files that come with XFree86.  The implementation uses `libbz2' to  */
+  /*   partially uncompress the file on the fly (see src/bzip2/ftbzip2.c). */
+  /*   Contrary to gzip, bzip2 currently is not included and need to use   */
+  /*   the system available bzip2 implementation.                          */
+  /*                                                                       */
+  /*   Define this macro if you want to enable this `feature'.             */
+  /*                                                                       */
+#mesondefine FT_CONFIG_OPTION_USE_BZIP2
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define to disable the use of file stream functions and types, FILE,   */
+  /* fopen() etc.  Enables the use of smaller system libraries on embedded */
+  /* systems that have multiple system libraries, some with or without     */
+  /* file stream support, in the cases where file stream support is not    */
+  /* necessary such as memory loading of font files.                       */
+  /*                                                                       */
+/* #define FT_CONFIG_OPTION_DISABLE_STREAM_SUPPORT */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* PNG bitmap support.                                                   */
+  /*                                                                       */
+  /*   FreeType now handles loading color bitmap glyphs in the PNG format. */
+  /*   This requires help from the external libpng library.  Uncompressed  */
+  /*   color bitmaps do not need any external libraries and will be        */
+  /*   supported regardless of this configuration.                         */
+  /*                                                                       */
+  /*   Define this macro if you want to enable this `feature'.             */
+  /*                                                                       */
+#mesondefine FT_CONFIG_OPTION_USE_PNG
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* HarfBuzz support.                                                     */
+  /*                                                                       */
+  /*   FreeType uses the HarfBuzz library to improve auto-hinting of       */
+  /*   OpenType fonts.  If available, many glyphs not directly addressable */
+  /*   by a font's character map will be hinted also.                      */
+  /*                                                                       */
+  /*   Define this macro if you want to enable this `feature'.             */
+  /*                                                                       */
+#mesondefine FT_CONFIG_OPTION_USE_HARFBUZZ
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* DLL export compilation                                                */
+  /*                                                                       */
+  /*   When compiling FreeType as a DLL, some systems/compilers need a     */
+  /*   special keyword in front OR after the return type of function       */
+  /*   declarations.                                                       */
+  /*                                                                       */
+  /*   Two macros are used within the FreeType source code to define       */
+  /*   exported library functions: FT_EXPORT and FT_EXPORT_DEF.            */
+  /*                                                                       */
+  /*     FT_EXPORT( return_type )                                          */
+  /*                                                                       */
+  /*       is used in a function declaration, as in                        */
+  /*                                                                       */
+  /*         FT_EXPORT( FT_Error )                                         */
+  /*         FT_Init_FreeType( FT_Library*  alibrary );                    */
+  /*                                                                       */
+  /*                                                                       */
+  /*     FT_EXPORT_DEF( return_type )                                      */
+  /*                                                                       */
+  /*       is used in a function definition, as in                         */
+  /*                                                                       */
+  /*         FT_EXPORT_DEF( FT_Error )                                     */
+  /*         FT_Init_FreeType( FT_Library*  alibrary )                     */
+  /*         {                                                             */
+  /*           ... some code ...                                           */
+  /*           return FT_Err_Ok;                                           */
+  /*         }                                                             */
+  /*                                                                       */
+  /*   You can provide your own implementation of FT_EXPORT and            */
+  /*   FT_EXPORT_DEF here if you want.  If you leave them undefined, they  */
+  /*   will be later automatically defined as `extern return_type' to      */
+  /*   allow normal compilation.                                           */
+  /*                                                                       */
+  /*   Do not #undef these macros here since the build system might define */
+  /*   them for certain configurations only.                               */
+  /*                                                                       */
+/* #define FT_EXPORT(x)      extern x */
+/* #define FT_EXPORT_DEF(x)  x */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Glyph Postscript Names handling                                       */
+  /*                                                                       */
+  /*   By default, FreeType 2 is compiled with the `psnames' module.  This */
+  /*   module is in charge of converting a glyph name string into a        */
+  /*   Unicode value, or return a Macintosh standard glyph name for the    */
+  /*   use with the TrueType `post' table.                                 */
+  /*                                                                       */
+  /*   Undefine this macro if you do not want `psnames' compiled in your   */
+  /*   build of FreeType.  This has the following effects:                 */
+  /*                                                                       */
+  /*   - The TrueType driver will provide its own set of glyph names,      */
+  /*     if you build it to support postscript names in the TrueType       */
+  /*     `post' table.                                                     */
+  /*                                                                       */
+  /*   - The Type 1 driver will not be able to synthesize a Unicode        */
+  /*     charmap out of the glyphs found in the fonts.                     */
+  /*                                                                       */
+  /*   You would normally undefine this configuration macro when building  */
+  /*   a version of FreeType that doesn't contain a Type 1 or CFF driver.  */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_POSTSCRIPT_NAMES
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Postscript Names to Unicode Values support                            */
+  /*                                                                       */
+  /*   By default, FreeType 2 is built with the `PSNames' module compiled  */
+  /*   in.  Among other things, the module is used to convert a glyph name */
+  /*   into a Unicode value.  This is especially useful in order to        */
+  /*   synthesize on the fly a Unicode charmap from the CFF/Type 1 driver  */
+  /*   through a big table named the `Adobe Glyph List' (AGL).             */
+  /*                                                                       */
+  /*   Undefine this macro if you do not want the Adobe Glyph List         */
+  /*   compiled in your `PSNames' module.  The Type 1 driver will not be   */
+  /*   able to synthesize a Unicode charmap out of the glyphs found in the */
+  /*   fonts.                                                              */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_ADOBE_GLYPH_LIST
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Support for Mac fonts                                                 */
+  /*                                                                       */
+  /*   Define this macro if you want support for outline fonts in Mac      */
+  /*   format (mac dfont, mac resource, macbinary containing a mac         */
+  /*   resource) on non-Mac platforms.                                     */
+  /*                                                                       */
+  /*   Note that the `FOND' resource isn't checked.                        */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_MAC_FONTS
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Guessing methods to access embedded resource forks                    */
+  /*                                                                       */
+  /*   Enable extra Mac fonts support on non-Mac platforms (e.g.           */
+  /*   GNU/Linux).                                                         */
+  /*                                                                       */
+  /*   Resource forks which include fonts data are stored sometimes in     */
+  /*   locations which users or developers don't expected.  In some cases, */
+  /*   resource forks start with some offset from the head of a file.  In  */
+  /*   other cases, the actual resource fork is stored in file different   */
+  /*   from what the user specifies.  If this option is activated,         */
+  /*   FreeType tries to guess whether such offsets or different file      */
+  /*   names must be used.                                                 */
+  /*                                                                       */
+  /*   Note that normal, direct access of resource forks is controlled via */
+  /*   the FT_CONFIG_OPTION_MAC_FONTS option.                              */
+  /*                                                                       */
+#ifdef FT_CONFIG_OPTION_MAC_FONTS
+#define FT_CONFIG_OPTION_GUESSING_EMBEDDED_RFORK
+#endif
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Allow the use of FT_Incremental_Interface to load typefaces that      */
+  /* contain no glyph data, but supply it via a callback function.         */
+  /* This is required by clients supporting document formats which         */
+  /* supply font data incrementally as the document is parsed, such        */
+  /* as the Ghostscript interpreter for the PostScript language.           */
+  /*                                                                       */
+#define FT_CONFIG_OPTION_INCREMENTAL
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* The size in bytes of the render pool used by the scan-line converter  */
+  /* to do all of its work.                                                */
+  /*                                                                       */
+#define FT_RENDER_POOL_SIZE  16384L
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* FT_MAX_MODULES                                                        */
+  /*                                                                       */
+  /*   The maximum number of modules that can be registered in a single    */
+  /*   FreeType library object.  32 is the default.                        */
+  /*                                                                       */
+#define FT_MAX_MODULES  32
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Debug level                                                           */
+  /*                                                                       */
+  /*   FreeType can be compiled in debug or trace mode.  In debug mode,    */
+  /*   errors are reported through the `ftdebug' component.  In trace      */
+  /*   mode, additional messages are sent to the standard output during    */
+  /*   execution.                                                          */
+  /*                                                                       */
+  /*   Define FT_DEBUG_LEVEL_ERROR to build the library in debug mode.     */
+  /*   Define FT_DEBUG_LEVEL_TRACE to build it in trace mode.              */
+  /*                                                                       */
+  /*   Don't define any of these macros to compile in `release' mode!      */
+  /*                                                                       */
+  /*   Do not #undef these macros here since the build system might define */
+  /*   them for certain configurations only.                               */
+  /*                                                                       */
+/* #define FT_DEBUG_LEVEL_ERROR */
+/* #define FT_DEBUG_LEVEL_TRACE */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Autofitter debugging                                                  */
+  /*                                                                       */
+  /*   If FT_DEBUG_AUTOFIT is defined, FreeType provides some means to     */
+  /*   control the autofitter behaviour for debugging purposes with global */
+  /*   boolean variables (consequently, you should *never* enable this     */
+  /*   while compiling in `release' mode):                                 */
+  /*                                                                       */
+  /*     _af_debug_disable_horz_hints                                      */
+  /*     _af_debug_disable_vert_hints                                      */
+  /*     _af_debug_disable_blue_hints                                      */
+  /*                                                                       */
+  /*   Additionally, the following functions provide dumps of various      */
+  /*   internal autofit structures to stdout (using `printf'):             */
+  /*                                                                       */
+  /*     af_glyph_hints_dump_points                                        */
+  /*     af_glyph_hints_dump_segments                                      */
+  /*     af_glyph_hints_dump_edges                                         */
+  /*     af_glyph_hints_get_num_segments                                   */
+  /*     af_glyph_hints_get_segment_offset                                 */
+  /*                                                                       */
+  /*   As an argument, they use another global variable:                   */
+  /*                                                                       */
+  /*     _af_debug_hints                                                   */
+  /*                                                                       */
+  /*   Please have a look at the `ftgrid' demo program to see how those    */
+  /*   variables and macros should be used.                                */
+  /*                                                                       */
+  /*   Do not #undef these macros here since the build system might define */
+  /*   them for certain configurations only.                               */
+  /*                                                                       */
+/* #define FT_DEBUG_AUTOFIT */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Memory Debugging                                                      */
+  /*                                                                       */
+  /*   FreeType now comes with an integrated memory debugger that is       */
+  /*   capable of detecting simple errors like memory leaks or double      */
+  /*   deletes.  To compile it within your build of the library, you       */
+  /*   should define FT_DEBUG_MEMORY here.                                 */
+  /*                                                                       */
+  /*   Note that the memory debugger is only activated at runtime when     */
+  /*   when the _environment_ variable `FT2_DEBUG_MEMORY' is defined also! */
+  /*                                                                       */
+  /*   Do not #undef this macro here since the build system might define   */
+  /*   it for certain configurations only.                                 */
+  /*                                                                       */
+/* #define FT_DEBUG_MEMORY */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Module errors                                                         */
+  /*                                                                       */
+  /*   If this macro is set (which is _not_ the default), the higher byte  */
+  /*   of an error code gives the module in which the error has occurred,  */
+  /*   while the lower byte is the real error code.                        */
+  /*                                                                       */
+  /*   Setting this macro makes sense for debugging purposes only, since   */
+  /*   it would break source compatibility of certain programs that use    */
+  /*   FreeType 2.                                                         */
+  /*                                                                       */
+  /*   More details can be found in the files ftmoderr.h and fterrors.h.   */
+  /*                                                                       */
+#undef FT_CONFIG_OPTION_USE_MODULE_ERRORS
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Position Independent Code                                             */
+  /*                                                                       */
+  /*   If this macro is set (which is _not_ the default), FreeType2 will   */
+  /*   avoid creating constants that require address fixups.  Instead the  */
+  /*   constants will be moved into a struct and additional intialization  */
+  /*   code will be used.                                                  */
+  /*                                                                       */
+  /*   Setting this macro is needed for systems that prohibit address      */
+  /*   fixups, such as BREW.                                               */
+  /*                                                                       */
+#mesondefine FT_CONFIG_OPTION_PIC
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /****        S F N T   D R I V E R    C O N F I G U R A T I O N       ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_EMBEDDED_BITMAPS if you want to support       */
+  /* embedded bitmaps in all formats using the SFNT module (namely         */
+  /* TrueType & OpenType).                                                 */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_EMBEDDED_BITMAPS
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_POSTSCRIPT_NAMES if you want to be able to    */
+  /* load and enumerate the glyph Postscript names in a TrueType or        */
+  /* OpenType file.                                                        */
+  /*                                                                       */
+  /* Note that when you do not compile the `PSNames' module by undefining  */
+  /* the above FT_CONFIG_OPTION_POSTSCRIPT_NAMES, the `sfnt' module will   */
+  /* contain additional code used to read the PS Names table from a font.  */
+  /*                                                                       */
+  /* (By default, the module uses `PSNames' to extract glyph names.)       */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_POSTSCRIPT_NAMES
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_SFNT_NAMES if your applications need to       */
+  /* access the internal name table in a SFNT-based format like TrueType   */
+  /* or OpenType.  The name table contains various strings used to         */
+  /* describe the font, like family name, copyright, version, etc.  It     */
+  /* does not contain any glyph name though.                               */
+  /*                                                                       */
+  /* Accessing SFNT names is done through the functions declared in        */
+  /* `ftsnames.h'.                                                         */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_SFNT_NAMES
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* TrueType CMap support                                                 */
+  /*                                                                       */
+  /*   Here you can fine-tune which TrueType CMap table format shall be    */
+  /*   supported.                                                          */
+#define TT_CONFIG_CMAP_FORMAT_0
+#define TT_CONFIG_CMAP_FORMAT_2
+#define TT_CONFIG_CMAP_FORMAT_4
+#define TT_CONFIG_CMAP_FORMAT_6
+#define TT_CONFIG_CMAP_FORMAT_8
+#define TT_CONFIG_CMAP_FORMAT_10
+#define TT_CONFIG_CMAP_FORMAT_12
+#define TT_CONFIG_CMAP_FORMAT_13
+#define TT_CONFIG_CMAP_FORMAT_14
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /****    T R U E T Y P E   D R I V E R    C O N F I G U R A T I O N   ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_BYTECODE_INTERPRETER if you want to compile   */
+  /* a bytecode interpreter in the TrueType driver.                        */
+  /*                                                                       */
+  /* By undefining this, you will only compile the code necessary to load  */
+  /* TrueType glyphs without hinting.                                      */
+  /*                                                                       */
+  /*   Do not #undef this macro here, since the build system might         */
+  /*   define it for certain configurations only.                          */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_BYTECODE_INTERPRETER
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_SUBPIXEL_HINTING if you want to compile       */
+  /* EXPERIMENTAL subpixel hinting support into the TrueType driver.  This */
+  /* replaces the native TrueType hinting mechanism when anything but      */
+  /* FT_RENDER_MODE_MONO is requested.                                     */
+  /*                                                                       */
+  /* Enabling this causes the TrueType driver to ignore instructions under */
+  /* certain conditions.  This is done in accordance with the guide here,  */
+  /* with some minor differences:                                          */
+  /*                                                                       */
+  /*  http://www.microsoft.com/typography/cleartype/truetypecleartype.aspx */
+  /*                                                                       */
+  /* By undefining this, you only compile the code necessary to hint       */
+  /* TrueType glyphs with native TT hinting.                               */
+  /*                                                                       */
+  /*   This option requires TT_CONFIG_OPTION_BYTECODE_INTERPRETER to be    */
+  /*   defined.                                                            */
+  /*                                                                       */
+/* #define TT_CONFIG_OPTION_SUBPIXEL_HINTING */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* If you define TT_CONFIG_OPTION_UNPATENTED_HINTING, a special version  */
+  /* of the TrueType bytecode interpreter is used that doesn't implement   */
+  /* any of the patented opcodes and algorithms.  The patents related to   */
+  /* TrueType hinting have expired worldwide since May 2010; this option   */
+  /* is now deprecated.                                                    */
+  /*                                                                       */
+  /* Note that the TT_CONFIG_OPTION_UNPATENTED_HINTING macro is *ignored*  */
+  /* if you define TT_CONFIG_OPTION_BYTECODE_INTERPRETER; in other words,  */
+  /* either define TT_CONFIG_OPTION_BYTECODE_INTERPRETER or                */
+  /* TT_CONFIG_OPTION_UNPATENTED_HINTING but not both at the same time.    */
+  /*                                                                       */
+  /* This macro is only useful for a small number of font files (mostly    */
+  /* for Asian scripts) that require bytecode interpretation to properly   */
+  /* load glyphs.  For all other fonts, this produces unpleasant results,  */
+  /* thus the unpatented interpreter is never used to load glyphs from     */
+  /* TrueType fonts unless one of the following two options is used.       */
+  /*                                                                       */
+  /*   - The unpatented interpreter is explicitly activated by the user    */
+  /*     through the FT_PARAM_TAG_UNPATENTED_HINTING parameter tag         */
+  /*     when opening the FT_Face.                                         */
+  /*                                                                       */
+  /*   - FreeType detects that the FT_Face corresponds to one of the       */
+  /*     `trick' fonts (e.g., `Mingliu') it knows about.  The font engine  */
+  /*     contains a hard-coded list of font names and other matching       */
+  /*     parameters (see function `tt_face_init' in file                   */
+  /*     `src/truetype/ttobjs.c').                                         */
+  /*                                                                       */
+  /* Here a sample code snippet for using FT_PARAM_TAG_UNPATENTED_HINTING. */
+  /*                                                                       */
+  /*   {                                                                   */
+  /*     FT_Parameter  parameter;                                          */
+  /*     FT_Open_Args  open_args;                                          */
+  /*                                                                       */
+  /*                                                                       */
+  /*     parameter.tag = FT_PARAM_TAG_UNPATENTED_HINTING;                  */
+  /*                                                                       */
+  /*     open_args.flags      = FT_OPEN_PATHNAME | FT_OPEN_PARAMS;         */
+  /*     open_args.pathname   = my_font_pathname;                          */
+  /*     open_args.num_params = 1;                                         */
+  /*     open_args.params     = &parameter;                                */
+  /*                                                                       */
+  /*     error = FT_Open_Face( library, &open_args, index, &face );        */
+  /*     ...                                                               */
+  /*   }                                                                   */
+  /*                                                                       */
+/* #define TT_CONFIG_OPTION_UNPATENTED_HINTING */
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_COMPONENT_OFFSET_SCALED to compile the        */
+  /* TrueType glyph loader to use Apple's definition of how to handle      */
+  /* component offsets in composite glyphs.                                */
+  /*                                                                       */
+  /* Apple and MS disagree on the default behavior of component offsets    */
+  /* in composites.  Apple says that they should be scaled by the scaling  */
+  /* factors in the transformation matrix (roughly, it's more complex)     */
+  /* while MS says they should not.  OpenType defines two bits in the      */
+  /* composite flags array which can be used to disambiguate, but old      */
+  /* fonts will not have them.                                             */
+  /*                                                                       */
+  /*   http://www.microsoft.com/typography/otspec/glyf.htm                 */
+  /*   https://developer.apple.com/fonts/TrueType-Reference-Manual/RM06/Chap6glyf.html */
+  /*                                                                       */
+#undef TT_CONFIG_OPTION_COMPONENT_OFFSET_SCALED
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_GX_VAR_SUPPORT if you want to include         */
+  /* support for Apple's distortable font technology (fvar, gvar, cvar,    */
+  /* and avar tables).  This has many similarities to Type 1 Multiple      */
+  /* Masters support.                                                      */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_GX_VAR_SUPPORT
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define TT_CONFIG_OPTION_BDF if you want to include support for        */
+  /* an embedded `BDF ' table within SFNT-based bitmap formats.            */
+  /*                                                                       */
+#define TT_CONFIG_OPTION_BDF
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /****      T Y P E 1   D R I V E R    C O N F I G U R A T I O N       ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* T1_MAX_DICT_DEPTH is the maximum depth of nest dictionaries and       */
+  /* arrays in the Type 1 stream (see t1load.c).  A minimum of 4 is        */
+  /* required.                                                             */
+  /*                                                                       */
+#define T1_MAX_DICT_DEPTH  5
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* T1_MAX_SUBRS_CALLS details the maximum number of nested sub-routine   */
+  /* calls during glyph loading.                                           */
+  /*                                                                       */
+#define T1_MAX_SUBRS_CALLS  16
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* T1_MAX_CHARSTRING_OPERANDS is the charstring stack's capacity.  A     */
+  /* minimum of 16 is required.                                            */
+  /*                                                                       */
+  /* The Chinese font MingTiEG-Medium (CNS 11643 character set) needs 256. */
+  /*                                                                       */
+#define T1_MAX_CHARSTRINGS_OPERANDS  256
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define this configuration macro if you want to prevent the            */
+  /* compilation of `t1afm', which is in charge of reading Type 1 AFM      */
+  /* files into an existing face.  Note that if set, the T1 driver will be */
+  /* unable to produce kerning distances.                                  */
+  /*                                                                       */
+#undef T1_CONFIG_OPTION_NO_AFM
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Define this configuration macro if you want to prevent the            */
+  /* compilation of the Multiple Masters font support in the Type 1        */
+  /* driver.                                                               */
+  /*                                                                       */
+#undef T1_CONFIG_OPTION_NO_MM_SUPPORT
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /****         C F F   D R I V E R    C O N F I G U R A T I O N        ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Using CFF_CONFIG_OPTION_DARKENING_PARAMETER_{X,Y}{1,2,3,4} it is      */
+  /* possible to set up the default values of the four control points that */
+  /* define the stem darkening behaviour of the (new) CFF engine.  For     */
+  /* more details please read the documentation of the                     */
+  /* `darkening-parameters' property of the cff driver module (file        */
+  /* `ftcffdrv.h'), which allows the control at run-time.                  */
+  /*                                                                       */
+  /* Do *not* undefine these macros!                                       */
+  /*                                                                       */
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_X1   500
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y1   400
+
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_X2  1000
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y2   275
+
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_X3  1667
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y3   275
+
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_X4  2333
+#define CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y4     0
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* CFF_CONFIG_OPTION_OLD_ENGINE controls whether the pre-Adobe CFF       */
+  /* engine gets compiled into FreeType.  If defined, it is possible to    */
+  /* switch between the two engines using the `hinting-engine' property of */
+  /* the cff driver module.                                                */
+  /*                                                                       */
+/* #define CFF_CONFIG_OPTION_OLD_ENGINE */
+
+
+  /*************************************************************************/
+  /*************************************************************************/
+  /****                                                                 ****/
+  /****    A U T O F I T   M O D U L E    C O N F I G U R A T I O N     ****/
+  /****                                                                 ****/
+  /*************************************************************************/
+  /*************************************************************************/
+
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Compile autofit module with CJK (Chinese, Japanese, Korean) script    */
+  /* support.                                                              */
+  /*                                                                       */
+#define AF_CONFIG_OPTION_CJK
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Compile autofit module with Indic script support.                     */
+  /*                                                                       */
+#define AF_CONFIG_OPTION_INDIC
+
+  /*************************************************************************/
+  /*                                                                       */
+  /* Compile autofit module with warp hinting.  The idea of the warping    */
+  /* code is to slightly scale and shift a glyph within a single dimension */
+  /* so that as much of its segments are aligned (more or less) on the     */
+  /* grid.  To find out the optimal scaling and shifting value, various    */
+  /* parameter combinations are tried and scored.                          */
+  /*                                                                       */
+  /* This experimental option is active only if the rendering mode is      */
+  /* FT_RENDER_MODE_LIGHT; you can switch warping on and off with the      */
+  /* `warping' property of the auto-hinter (see file `ftautoh.h' for more  */
+  /* information; by default it is switched off).                          */
+  /*                                                                       */
+#define AF_CONFIG_OPTION_USE_WARPER
+
+  /* */
+
+
+  /*
+   * This macro is obsolete.  Support has been removed in FreeType
+   * version 2.5.
+   */
+/* #define FT_CONFIG_OPTION_OLD_INTERNALS */
+
+
+  /*
+   * This macro is defined if either unpatented or native TrueType
+   * hinting is requested by the definitions above.
+   */
+#ifdef TT_CONFIG_OPTION_BYTECODE_INTERPRETER
+#define  TT_USE_BYTECODE_INTERPRETER
+#undef   TT_CONFIG_OPTION_UNPATENTED_HINTING
+#elif defined TT_CONFIG_OPTION_UNPATENTED_HINTING
+#define  TT_USE_BYTECODE_INTERPRETER
+#endif
+
+
+  /*
+   * Check CFF darkening parameters.  The checks are the same as in function
+   * `cff_property_set' in file `cffdrivr.c'.
+   */
+#if CFF_CONFIG_OPTION_DARKENING_PARAMETER_X1 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X2 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X3 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X4 < 0   || \
+                                                      \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y1 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y2 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y3 < 0   || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y4 < 0   || \
+                                                      \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X1 >        \
+      CFF_CONFIG_OPTION_DARKENING_PARAMETER_X2     || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X2 >        \
+      CFF_CONFIG_OPTION_DARKENING_PARAMETER_X3     || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_X3 >        \
+      CFF_CONFIG_OPTION_DARKENING_PARAMETER_X4     || \
+                                                      \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y1 > 500 || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y2 > 500 || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y3 > 500 || \
+    CFF_CONFIG_OPTION_DARKENING_PARAMETER_Y4 > 500
+#error "Invalid CFF darkening parameters!"
+#endif
+
+FT_END_HEADER
+
+
+#endif /* FTOPTION_H_ */
+
+
+/* END */
diff --git a/subprojects/packagefiles/freetype-2.6.1-meson/meson.build b/subprojects/packagefiles/freetype-2.6.1-meson/meson.build
new file mode 100644
index 000000000000..9a5180ef7586
--- /dev/null
+++ b/subprojects/packagefiles/freetype-2.6.1-meson/meson.build
@@ -0,0 +1,193 @@
+project('freetype2', 'c',
+  version: '2.6.1',
+  license: '(FTL OR GPL-2.0-or-later) AND BSD-3-Clause AND MIT AND MIT-Modern-Variant AND Zlib',
+  license_files: [
+    'docs/LICENSE.TXT',
+    'docs/FTL.TXT',
+    'docs/GPLv2.TXT',
+  ],
+  meson_version: '>=1.1.0')
+
+# NOTE about FreeType versions
+# There are 3 versions numbers associated with each releases:
+# - official release number (eg. 2.6.1) - accessible via
+#   FREETYPE_{MAJOR,MINOR,PATCH} macros from FT_FREETYPE_H
+# - libtool-specific version number, this is what is returned by
+#   freetype-config --version / pkg-config --modversion (eg. 22.1.16)
+# - the platform-specific shared object version number (eg. 6.16.1)
+# See https://git.savannah.gnu.org/cgit/freetype/freetype2.git/tree/docs/VERSIONS.TXT
+# for more information
+release_version = meson.project_version()
+libtool_version = '18.1.12'
+so_version = '6.12.1'
+so_soversion = '6'
+
+pkgmod = import('pkgconfig')
+
+cc = meson.get_compiler('c')
+
+base_sources = [
+  'src/autofit/autofit.c',
+  'src/base/ftbase.c',
+  'src/base/ftbbox.c',
+  'src/base/ftbdf.c',
+  'src/base/ftbitmap.c',
+  'src/base/ftcid.c',
+  'src/base/ftfntfmt.c',
+  'src/base/ftfstype.c',
+  'src/base/ftgasp.c',
+  'src/base/ftglyph.c',
+  'src/base/ftgxval.c',
+  'src/base/ftinit.c',
+  'src/base/ftlcdfil.c',
+  'src/base/ftmm.c',
+  'src/base/ftotval.c',
+  'src/base/ftpatent.c',
+  'src/base/ftpfr.c',
+  'src/base/ftstroke.c',
+  'src/base/ftsynth.c',
+  'src/base/ftsystem.c',
+  'src/base/fttype1.c',
+  'src/base/ftwinfnt.c',
+  'src/bdf/bdf.c',
+  'src/bzip2/ftbzip2.c',
+  'src/cache/ftcache.c',
+  'src/cff/cff.c',
+  'src/cid/type1cid.c',
+  'src/gzip/ftgzip.c',
+  'src/lzw/ftlzw.c',
+  'src/pcf/pcf.c',
+  'src/pfr/pfr.c',
+  'src/psaux/psaux.c',
+  'src/pshinter/pshinter.c',
+  'src/psnames/psnames.c',
+  'src/raster/raster.c',
+  'src/sfnt/sfnt.c',
+  'src/smooth/smooth.c',
+  'src/truetype/truetype.c',
+  'src/type1/type1.c',
+  'src/type42/type42.c',
+  'src/winfonts/winfnt.c',
+]
+
+ft2build_h = [
+  'include/ft2build.h',
+]
+
+ft_headers = [
+  'include/freetype/freetype.h',
+  'include/freetype/ftadvanc.h',
+  'include/freetype/ftautoh.h',
+  'include/freetype/ftbbox.h',
+  'include/freetype/ftbdf.h',
+  'include/freetype/ftbitmap.h',
+  'include/freetype/ftbzip2.h',
+  'include/freetype/ftcache.h',
+  'include/freetype/ftcffdrv.h',
+  'include/freetype/ftchapters.h',
+  'include/freetype/ftcid.h',
+  'include/freetype/fterrdef.h',
+  'include/freetype/fterrors.h',
+  'include/freetype/ftfntfmt.h',
+  'include/freetype/ftgasp.h',
+  'include/freetype/ftglyph.h',
+  'include/freetype/ftgxval.h',
+  'include/freetype/ftgzip.h',
+  'include/freetype/ftimage.h',
+  'include/freetype/ftincrem.h',
+  'include/freetype/ftlcdfil.h',
+  'include/freetype/ftlist.h',
+  'include/freetype/ftlzw.h',
+  'include/freetype/ftmac.h',
+  'include/freetype/ftmm.h',
+  'include/freetype/ftmodapi.h',
+  'include/freetype/ftmoderr.h',
+  'include/freetype/ftotval.h',
+  'include/freetype/ftoutln.h',
+  'include/freetype/ftpfr.h',
+  'include/freetype/ftrender.h',
+  'include/freetype/ftsizes.h',
+  'include/freetype/ftsnames.h',
+  'include/freetype/ftstroke.h',
+  'include/freetype/ftsynth.h',
+  'include/freetype/ftsystem.h',
+  'include/freetype/fttrigon.h',
+  'include/freetype/ftttdrv.h',
+  'include/freetype/fttypes.h',
+  'include/freetype/ftwinfnt.h',
+  'include/freetype/t1tables.h',
+  'include/freetype/ttnameid.h',
+  'include/freetype/tttables.h',
+  'include/freetype/tttags.h',
+  'include/freetype/ttunpat.h',
+]
+
+ft_config_headers = [
+  'include/freetype/config/ftconfig.h',
+  'include/freetype/config/ftheader.h',
+  'include/freetype/config/ftmodule.h',
+  'include/freetype/config/ftoption.h',
+  'include/freetype/config/ftstdlib.h',
+]
+
+if host_machine.system() == 'windows'
+  base_sources += [
+    'builds/windows/ftdebug.c',
+  ]
+else
+  base_sources += [
+    'src/base/ftdebug.c',
+  ]
+endif
+
+c_args = [
+  '-DFT2_BUILD_LIBRARY',
+  '-DFT_CONFIG_CONFIG_H=<ftconfig.h>',
+  '-DFT_CONFIG_OPTIONS_H=<ftoption.h>'
+]
+
+check_headers = []
+
+if ['linux', 'darwin', 'cygwin'].contains(host_machine.system())
+  check_headers += [
+    ['unistd.h'],
+    ['fcntl.h'],
+    ['stdint.h'],
+  ]
+  ftconfig_h_in = files('builds/unix/ftconfig.h.in')
+else
+  ftconfig_h_in = files('include/freetype/config/ftconfig.h')
+endif
+
+conf = configuration_data()
+deps = []
+incbase = include_directories(['include'])
+
+foreach check : check_headers
+  name = check[0]
+
+  if cc.has_header(name)
+    conf.set('HAVE_@0@'.format(name.to_upper().underscorify()), 1)
+  endif
+endforeach
+
+configure_file(input: ftconfig_h_in,
+  output: 'ftconfig.h',
+  configuration: conf)
+
+ft_config_headers += [configure_file(input: 'include/freetype/config/ftoption.h.in',
+  output: 'ftoption.h',
+  configuration: conf)]
+
+libfreetype = static_library('freetype', base_sources,
+  include_directories: incbase,
+  dependencies: deps,
+  c_args: c_args,
+  gnu_symbol_visibility: 'inlineshidden',
+)
+
+freetype_dep = declare_dependency(
+  link_with: libfreetype,
+  include_directories : incbase,
+  dependencies: deps,
+)
diff --git a/subprojects/packagefiles/freetype-2.6.1-meson/src/gzip/zconf.h b/subprojects/packagefiles/freetype-2.6.1-meson/src/gzip/zconf.h
new file mode 100644
index 000000000000..d88a82a2eec8
--- /dev/null
+++ b/subprojects/packagefiles/freetype-2.6.1-meson/src/gzip/zconf.h
@@ -0,0 +1,284 @@
+/* zconf.h -- configuration of the zlib compression library
+ * Copyright (C) 1995-2002 Jean-loup Gailly.
+ * For conditions of distribution and use, see copyright notice in zlib.h
+ */
+
+/* @(#) $Id$ */
+
+#ifndef _ZCONF_H
+#define _ZCONF_H
+
+/*
+ * If you *really* need a unique prefix for all types and library functions,
+ * compile with -DZ_PREFIX. The "standard" zlib should be compiled without it.
+ */
+#ifdef Z_PREFIX
+#  define deflateInit_         z_deflateInit_
+#  define deflate              z_deflate
+#  define deflateEnd           z_deflateEnd
+#  define inflateInit_         z_inflateInit_
+#  define inflate              z_inflate
+#  define inflateEnd           z_inflateEnd
+#  define deflateInit2_        z_deflateInit2_
+#  define deflateSetDictionary z_deflateSetDictionary
+#  define deflateCopy          z_deflateCopy
+#  define deflateReset         z_deflateReset
+#  define deflateParams        z_deflateParams
+#  define inflateInit2_        z_inflateInit2_
+#  define inflateSetDictionary z_inflateSetDictionary
+#  define inflateSync          z_inflateSync
+#  define inflateSyncPoint     z_inflateSyncPoint
+#  define inflateReset         z_inflateReset
+#  define compress             z_compress
+#  define compress2            z_compress2
+#  define uncompress           z_uncompress
+#  define adler32              z_adler32
+#  define crc32                z_crc32
+#  define get_crc_table        z_get_crc_table
+
+#  define Byte   z_Byte
+#  define uInt   z_uInt
+#  define uLong  z_uLong
+#  define Bytef  z_Bytef
+#  define charf  z_charf
+#  define intf   z_intf
+#  define uIntf  z_uIntf
+#  define uLongf z_uLongf
+#  define voidpf z_voidpf
+#  define voidp  z_voidp
+#endif
+
+#if (defined(_WIN32) || defined(__WIN32__)) && !defined(WIN32)
+#  define WIN32
+#endif
+#if defined(__GNUC__) || defined(WIN32) || defined(__386__) || defined(i386)
+#  ifndef __32BIT__
+#    define __32BIT__
+#  endif
+#endif
+#if defined(__MSDOS__) && !defined(MSDOS)
+#  define MSDOS
+#endif
+
+/* WinCE doesn't have errno.h */
+#ifdef _WIN32_WCE
+#  define NO_ERRNO_H
+#endif
+
+
+/*
+ * Compile with -DMAXSEG_64K if the alloc function cannot allocate more
+ * than 64k bytes at a time (needed on systems with 16-bit int).
+ */
+#if defined(MSDOS) && !defined(__32BIT__)
+#  define MAXSEG_64K
+#endif
+#ifdef MSDOS
+#  define UNALIGNED_OK
+#endif
+
+#if (defined(MSDOS) || defined(_WINDOWS) || defined(WIN32))  && !defined(STDC)
+#  define STDC
+#endif
+#if defined(__STDC__) || defined(__cplusplus) || defined(__OS2__)
+#  ifndef STDC
+#    define STDC
+#  endif
+#endif
+
+#ifndef STDC
+#  ifndef const /* cannot use !defined(STDC) && !defined(const) on Mac */
+#    define const
+#  endif
+#endif
+
+/* Some Mac compilers merge all .h files incorrectly: */
+#if defined(__MWERKS__) || defined(applec) ||defined(THINK_C) ||defined(__SC__)
+#  define NO_DUMMY_DECL
+#endif
+
+/* Old Borland C and LCC incorrectly complains about missing returns: */
+#if defined(__BORLANDC__) && (__BORLANDC__ < 0x500)
+#  define NEED_DUMMY_RETURN
+#endif
+
+#if defined(__LCC__)
+#  define  NEED_DUMMY_RETURN
+#endif
+
+/* Maximum value for memLevel in deflateInit2 */
+#ifndef MAX_MEM_LEVEL
+#  ifdef MAXSEG_64K
+#    define MAX_MEM_LEVEL 8
+#  else
+#    define MAX_MEM_LEVEL 9
+#  endif
+#endif
+
+/* Maximum value for windowBits in deflateInit2 and inflateInit2.
+ * WARNING: reducing MAX_WBITS makes minigzip unable to extract .gz files
+ * created by gzip. (Files created by minigzip can still be extracted by
+ * gzip.)
+ */
+#ifndef MAX_WBITS
+#  define MAX_WBITS   15 /* 32K LZ77 window */
+#endif
+
+/* The memory requirements for deflate are (in bytes):
+            (1 << (windowBits+2)) +  (1 << (memLevel+9))
+ that is: 128K for windowBits=15  +  128K for memLevel = 8  (default values)
+ plus a few kilobytes for small objects. For example, if you want to reduce
+ the default memory requirements from 256K to 128K, compile with
+     make CFLAGS="-O -DMAX_WBITS=14 -DMAX_MEM_LEVEL=7"
+ Of course this will generally degrade compression (there's no free lunch).
+
+   The memory requirements for inflate are (in bytes) 1 << windowBits
+ that is, 32K for windowBits=15 (default value) plus a few kilobytes
+ for small objects.
+*/
+
+                        /* Type declarations */
+
+#ifndef OF /* function prototypes */
+#  ifdef STDC
+#    define OF(args)  args
+#  else
+#    define OF(args)  ()
+#  endif
+#endif
+
+/* The following definitions for FAR are needed only for MSDOS mixed
+ * model programming (small or medium model with some far allocations).
+ * This was tested only with MSC; for other MSDOS compilers you may have
+ * to define NO_MEMCPY in zutil.h.  If you don't need the mixed model,
+ * just define FAR to be empty.
+ */
+#if (defined(M_I86SM) || defined(M_I86MM)) && !defined(__32BIT__)
+   /* MSC small or medium model */
+#  define SMALL_MEDIUM
+#  ifdef _MSC_VER
+#    define FAR _far
+#  else
+#    define FAR far
+#  endif
+#endif
+#if defined(__BORLANDC__) && (defined(__SMALL__) || defined(__MEDIUM__))
+#  ifndef __32BIT__
+#    define SMALL_MEDIUM
+#    define FAR _far
+#  endif
+#endif
+
+/* Compile with -DZLIB_DLL for Windows DLL support */
+#if defined(ZLIB_DLL)
+#  if defined(_WINDOWS) || defined(WINDOWS)
+#    ifdef FAR
+#      undef FAR
+#    endif
+#    include <windows.h>
+#    define ZEXPORT(x)  x WINAPI
+#    ifdef WIN32
+#      define ZEXPORTVA(x)  x WINAPIV
+#    else
+#      define ZEXPORTVA(x)  x FAR _cdecl _export
+#    endif
+#  endif
+#  if defined (__BORLANDC__)
+#    if (__BORLANDC__ >= 0x0500) && defined (WIN32)
+#      include <windows.h>
+#      define ZEXPORT(x) x __declspec(dllexport) WINAPI
+#      define ZEXPORTRVA(x)  x __declspec(dllexport) WINAPIV
+#    else
+#      if defined (_Windows) && defined (__DLL__)
+#        define ZEXPORT(x) x _export
+#        define ZEXPORTVA(x) x _export
+#      endif
+#    endif
+#  endif
+#endif
+
+
+#ifndef ZEXPORT
+#  define ZEXPORT(x)   static x
+#endif
+#ifndef ZEXPORTVA
+#  define ZEXPORTVA(x)   static x
+#endif
+#ifndef ZEXTERN
+#  define ZEXTERN(x) static x
+#endif
+#ifndef ZEXTERNDEF
+#  define ZEXTERNDEF(x)  static x
+#endif
+
+#ifndef FAR
+#   define FAR
+#endif
+
+#if !defined(__MACTYPES__)
+typedef unsigned char  Byte;  /* 8 bits */
+#endif
+typedef unsigned int   uInt;  /* 16 bits or more */
+typedef unsigned long  uLong; /* 32 bits or more */
+
+#ifdef SMALL_MEDIUM
+   /* Borland C/C++ and some old MSC versions ignore FAR inside typedef */
+#  define Bytef Byte FAR
+#else
+   typedef Byte  FAR Bytef;
+#endif
+typedef char  FAR charf;
+typedef int   FAR intf;
+typedef uInt  FAR uIntf;
+typedef uLong FAR uLongf;
+
+#ifdef STDC
+   typedef void FAR *voidpf;
+   typedef void     *voidp;
+#else
+   typedef Byte FAR *voidpf;
+   typedef Byte     *voidp;
+#endif
+
+#ifdef HAVE_UNISTD_H
+#  include <sys/types.h> /* for off_t */
+#  include <unistd.h>    /* for SEEK_* and off_t */
+#  define z_off_t  off_t
+#endif
+#ifndef SEEK_SET
+#  define SEEK_SET        0       /* Seek from beginning of file.  */
+#  define SEEK_CUR        1       /* Seek from current position.  */
+#  define SEEK_END        2       /* Set file pointer to EOF plus "offset" */
+#endif
+#ifndef z_off_t
+#  define  z_off_t long
+#endif
+
+/* MVS linker does not support external names larger than 8 bytes */
+#if defined(__MVS__)
+#   pragma map(deflateInit_,"DEIN")
+#   pragma map(deflateInit2_,"DEIN2")
+#   pragma map(deflateEnd,"DEEND")
+#   pragma map(inflateInit_,"ININ")
+#   pragma map(inflateInit2_,"ININ2")
+#   pragma map(inflateEnd,"INEND")
+#   pragma map(inflateSync,"INSY")
+#   pragma map(inflateSetDictionary,"INSEDI")
+#   pragma map(inflate_blocks,"INBL")
+#   pragma map(inflate_blocks_new,"INBLNE")
+#   pragma map(inflate_blocks_free,"INBLFR")
+#   pragma map(inflate_blocks_reset,"INBLRE")
+#   pragma map(inflate_codes_free,"INCOFR")
+#   pragma map(inflate_codes,"INCO")
+#   pragma map(inflate_fast,"INFA")
+#   pragma map(inflate_flush,"INFLU")
+#   pragma map(inflate_mask,"INMA")
+#   pragma map(inflate_set_dictionary,"INSEDI2")
+#   pragma map(inflate_copyright,"INCOPY")
+#   pragma map(inflate_trees_bits,"INTRBI")
+#   pragma map(inflate_trees_dynamic,"INTRDY")
+#   pragma map(inflate_trees_fixed,"INTRFI")
+#   pragma map(inflate_trees_free,"INTRFR")
+#endif
+
+#endif /* _ZCONF_H */
diff --git a/subprojects/packagefiles/qhull-8.0.2/meson.build b/subprojects/packagefiles/qhull-8.0.2/meson.build
new file mode 100644
index 000000000000..7a27b4715c25
--- /dev/null
+++ b/subprojects/packagefiles/qhull-8.0.2/meson.build
@@ -0,0 +1,35 @@
+project('qhull', 'c',
+  version: '8.0.2',
+  license: 'Qhull',
+  license_files: [
+    'COPYING.txt',
+  ],
+  meson_version: '>=1.1.0')
+
+qhull_inc = include_directories('src')
+qhull_lib = static_library('qhull_r',
+  'src/libqhull_r/geom2_r.c',
+  'src/libqhull_r/geom_r.c',
+  'src/libqhull_r/global_r.c',
+  'src/libqhull_r/io_r.c',
+  'src/libqhull_r/libqhull_r.c',
+  'src/libqhull_r/mem_r.c',
+  'src/libqhull_r/merge_r.c',
+  'src/libqhull_r/poly2_r.c',
+  'src/libqhull_r/poly_r.c',
+  'src/libqhull_r/qset_r.c',
+  'src/libqhull_r/random_r.c',
+  'src/libqhull_r/rboxlib_r.c',
+  'src/libqhull_r/stat_r.c',
+  'src/libqhull_r/usermem_r.c',
+  'src/libqhull_r/userprintf_rbox_r.c',
+  'src/libqhull_r/userprintf_r.c',
+  'src/libqhull_r/user_r.c',
+  gnu_symbol_visibility: 'inlineshidden',
+)
+
+qhull_dep = declare_dependency(
+  include_directories: qhull_inc,
+  link_with: qhull_lib)
+
+meson.override_dependency('qhull_r', qhull_dep)
diff --git a/subprojects/qhull.wrap b/subprojects/qhull.wrap
new file mode 100644
index 000000000000..c52b07d790cd
--- /dev/null
+++ b/subprojects/qhull.wrap
@@ -0,0 +1,9 @@
+[wrap-file]
+# Also bump the cache key in `.circleci/config.yml`.
+# Also update the docs in `docs/devel/dependencies.rst`.
+directory = qhull-8.0.2
+source_url = https://github.com/qhull/qhull/archive/v8.0.2/qhull-8.0.2.tar.gz
+source_filename = qhull-8.0.2.tgz
+source_hash = 8774e9a12c70b0180b95d6b0b563c5aa4bea8d5960c15e18ae3b6d2521d64f8b
+
+patch_directory = qhull-8.0.2
diff --git a/test_only.py b/test_only.py
deleted file mode 100644
index 192881f5c629..000000000000
--- a/test_only.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from distutils.core import setup
-
-import os
-
-baseline_images = [
-    'baseline_images/%s/*' % x
-    for x in os.listdir('lib/matplotlib/tests/baseline_images')]
-
-baseline_images += [
-        'mpltest.ttf',
-        'test_rcparams.rc'
-    ]
-
-setup(name='matplotlib.tests',
-      packages=['matplotlib.tests'],
-      package_dir={'matplotlib.tests': 'lib/matplotlib/tests'},
-      package_data={'matplotlib.tests': baseline_images}
-)
diff --git a/tests.py b/tests.py
deleted file mode 100755
index 34469743abfe..000000000000
--- a/tests.py
+++ /dev/null
@@ -1,57 +0,0 @@
-#!/usr/bin/env python
-#
-# This allows running the matplotlib tests from the command line: e.g.
-#
-#   $ python tests.py -v -d
-#
-# The arguments are identical to the arguments accepted by nosetests.
-#
-# See https://nose.readthedocs.org/ for a detailed description of
-# these options.
-
-import os
-import sys
-import time
-
-import matplotlib
-matplotlib.use('agg')
-
-import nose
-from matplotlib.testing.noseclasses import KnownFailure
-from matplotlib import default_test_modules
-
-from matplotlib import font_manager
-# Make sure the font caches are created before starting any possibly
-# parallel tests
-if font_manager._fmcache is not None:
-    while not os.path.exists(font_manager._fmcache):
-        time.sleep(0.5)
-
-plugins = [KnownFailure]
-
-# Nose doesn't automatically instantiate all of the plugins in the
-# child processes, so we have to provide the multiprocess plugin with
-# a list.
-from nose.plugins import multiprocess
-multiprocess._instantiate_plugins = plugins
-
-def run():
-    try:
-        import faulthandler
-    except ImportError:
-        pass
-    else:
-        faulthandler.enable()
-
-    nose.main(addplugins=[x() for x in plugins],
-              defaultTest=default_test_modules)
-
-if __name__ == '__main__':
-    if '--no-pep8' in sys.argv:
-        default_test_modules.remove('matplotlib.tests.test_coding_standards')
-        sys.argv.remove('--no-pep8')
-    elif '--pep8' in sys.argv:
-        default_test_modules = ['matplotlib.tests.test_coding_standards']
-        sys.argv.remove('--pep8')
-
-    run()
diff --git a/tools/README.txt b/tools/README.txt
new file mode 100644
index 000000000000..d6438c7654f0
--- /dev/null
+++ b/tools/README.txt
@@ -0,0 +1 @@
+Tools developed for Matplotlib
diff --git a/tools/boilerplate.py b/tools/boilerplate.py
new file mode 100644
index 000000000000..11ec15ac1c44
--- /dev/null
+++ b/tools/boilerplate.py
@@ -0,0 +1,472 @@
+"""
+Script to autogenerate pyplot wrappers.
+
+When this script is run, the current contents of pyplot are
+split into generatable and non-generatable content (via the magic header
+:attr:`PYPLOT_MAGIC_HEADER`) and the generatable content is overwritten.
+Hence, the non-generatable content should be edited in the pyplot.py file
+itself, whereas the generatable content must be edited via templates in
+this file.
+"""
+
+# Although it is possible to dynamically generate the pyplot functions at
+# runtime with the proper signatures, a static pyplot.py is simpler for static
+# analysis tools to parse.
+
+import ast
+from enum import Enum
+import functools
+import inspect
+from inspect import Parameter
+from pathlib import Path
+import sys
+import subprocess
+
+
+# This line imports the installed copy of matplotlib, and not the local copy.
+import numpy as np
+from matplotlib import _api, mlab
+from matplotlib.axes import Axes
+from matplotlib.figure import Figure
+
+
+# This is the magic line that must exist in pyplot, after which the boilerplate
+# content will be appended.
+PYPLOT_MAGIC_HEADER = (
+    "################# REMAINING CONTENT GENERATED BY boilerplate.py "
+    "##############\n")
+
+AUTOGEN_MSG = """
+
+# Autogenerated by boilerplate.py.  Do not edit as changes will be lost."""
+
+AXES_CMAPPABLE_METHOD_TEMPLATE = AUTOGEN_MSG + """
+@_copy_docstring_and_deprecators(Axes.{called_name})
+def {name}{signature}:
+    __ret = gca().{called_name}{call}
+    {sci_command}
+    return __ret
+"""
+
+AXES_METHOD_TEMPLATE = AUTOGEN_MSG + """
+@_copy_docstring_and_deprecators(Axes.{called_name})
+def {name}{signature}:
+    {return_statement}gca().{called_name}{call}
+"""
+
+FIGURE_METHOD_TEMPLATE = AUTOGEN_MSG + """
+@_copy_docstring_and_deprecators(Figure.{called_name})
+def {name}{signature}:
+    {return_statement}gcf().{called_name}{call}
+"""
+
+CMAP_TEMPLATE = '''
+def {name}() -> None:
+    """
+    Set the colormap to {name!r}.
+
+    This changes the default colormap as well as the colormap of the current
+    image if there is one. See ``help(colormaps)`` for more information.
+    """
+    set_cmap({name!r})
+'''  # Colormap functions.
+
+
+class value_formatter:
+    """
+    Format function default values as needed for inspect.formatargspec.
+    The interesting part is a hard-coded list of functions used
+    as defaults in pyplot methods.
+    """
+
+    def __init__(self, value):
+        if value is mlab.detrend_none:
+            self._repr = "mlab.detrend_none"
+        elif value is mlab.window_hanning:
+            self._repr = "mlab.window_hanning"
+        elif value is np.mean:
+            self._repr = "np.mean"
+        elif value is _api.deprecation._deprecated_parameter:
+            self._repr = "_api.deprecation._deprecated_parameter"
+        elif isinstance(value, Enum):
+            # Enum str is Class.Name whereas their repr is <Class.Name: value>.
+            self._repr = f'{type(value).__name__}.{value.name}'
+        else:
+            self._repr = repr(value)
+
+    def __repr__(self):
+        return self._repr
+
+
+class direct_repr:
+    """
+    A placeholder class to destringify annotations from ast
+    """
+    def __init__(self, value):
+        self._repr = value
+
+    def __repr__(self):
+        return self._repr
+
+
+def generate_function(name, called_fullname, template, **kwargs):
+    """
+    Create a wrapper function *pyplot_name* calling *call_name*.
+
+    Parameters
+    ----------
+    name : str
+        The function to be created.
+    called_fullname : str
+        The method to be wrapped in the format ``"Class.method"``.
+    template : str
+        The template to be used. The template must contain {}-style format
+        placeholders. The following placeholders are filled in:
+
+        - name: The function name.
+        - signature: The function signature (including parentheses).
+        - called_name: The name of the called function.
+        - call: Parameters passed to *called_name* (including parentheses).
+
+    **kwargs
+        Additional parameters are passed to ``template.format()``.
+    """
+    # Get signature of wrapped function.
+    class_name, called_name = called_fullname.split('.')
+    class_ = {'Axes': Axes, 'Figure': Figure}[class_name]
+
+    meth = getattr(class_, called_name)
+    decorator = _api.deprecation.DECORATORS.get(meth)
+    # Generate the wrapper with the non-kwonly signature, as it will get
+    # redecorated with make_keyword_only by _copy_docstring_and_deprecators.
+    if decorator and decorator.func is _api.make_keyword_only:
+        meth = meth.__wrapped__
+
+    annotated_trees = get_ast_mro_trees(class_)
+    signature = get_matching_signature(meth, annotated_trees)
+
+    # Replace self argument.
+    params = list(signature.parameters.values())[1:]
+    has_return_value = str(signature.return_annotation) != 'None'
+    signature = str(signature.replace(parameters=[
+        param.replace(default=value_formatter(param.default))
+        if param.default is not param.empty else param
+        for param in params]))
+    # How to call the wrapped function.
+    call = '(' + ', '.join((
+           # Pass "intended-as-positional" parameters positionally to avoid
+           # forcing third-party subclasses to reproduce the parameter names.
+           '{0}'
+           if param.kind in [
+               Parameter.POSITIONAL_OR_KEYWORD]
+              and param.default is Parameter.empty else
+           # Only pass the data kwarg if it is actually set, to avoid forcing
+           # third-party subclasses to support it.
+           '**({{"data": data}} if data is not None else {{}})'
+           if param.name == "data" else
+           '{0}={0}'
+           if param.kind in [
+               Parameter.POSITIONAL_OR_KEYWORD,
+               Parameter.KEYWORD_ONLY] else
+           '{0}'
+           if param.kind is Parameter.POSITIONAL_ONLY else
+           '*{0}'
+           if param.kind is Parameter.VAR_POSITIONAL else
+           '**{0}'
+           if param.kind is Parameter.VAR_KEYWORD else
+           None).format(param.name)
+       for param in params) + ')'
+    return_statement = 'return ' if has_return_value else ''
+    # Bail out in case of name collision.
+    for reserved in ('gca', 'gci', 'gcf', '__ret'):
+        if reserved in params:
+            raise ValueError(
+                f'Method {called_fullname} has kwarg named {reserved}')
+
+    return template.format(
+        name=name,
+        called_name=called_name,
+        signature=signature,
+        call=call,
+        return_statement=return_statement,
+        **kwargs)
+
+
+def boilerplate_gen():
+    """Generator of lines for the automated part of pyplot."""
+
+    _figure_commands = (
+        'figimage',
+        'figtext:text',
+        'gca',
+        'gci:_gci',
+        'ginput',
+        'subplots_adjust',
+        'suptitle',
+        'tight_layout',
+        'waitforbuttonpress',
+    )
+
+    # These methods are all simple wrappers of Axes methods by the same name.
+    _axes_commands = (
+        'acorr',
+        'angle_spectrum',
+        'annotate',
+        'arrow',
+        'autoscale',
+        'axhline',
+        'axhspan',
+        'axis',
+        'axline',
+        'axvline',
+        'axvspan',
+        'bar',
+        'barbs',
+        'barh',
+        'bar_label',
+        'boxplot',
+        'broken_barh',
+        'clabel',
+        'cohere',
+        'contour',
+        'contourf',
+        'csd',
+        'ecdf',
+        'errorbar',
+        'eventplot',
+        'fill',
+        'fill_between',
+        'fill_betweenx',
+        'grid',
+        'grouped_bar',
+        'hexbin',
+        'hist',
+        'stairs',
+        'hist2d',
+        'hlines',
+        'imshow',
+        'legend',
+        'locator_params',
+        'loglog',
+        'magnitude_spectrum',
+        'margins',
+        'minorticks_off',
+        'minorticks_on',
+        'pcolor',
+        'pcolormesh',
+        'phase_spectrum',
+        'pie',
+        'plot',
+        'psd',
+        'quiver',
+        'quiverkey',
+        'scatter',
+        'semilogx',
+        'semilogy',
+        'specgram',
+        'spy',
+        'stackplot',
+        'stem',
+        'step',
+        'streamplot',
+        'table',
+        'text',
+        'tick_params',
+        'ticklabel_format',
+        'tricontour',
+        'tricontourf',
+        'tripcolor',
+        'triplot',
+        'violinplot',
+        'vlines',
+        'xcorr',
+        # pyplot name : real name
+        'sci:_sci',
+        'title:set_title',
+        'xlabel:set_xlabel',
+        'ylabel:set_ylabel',
+        'xscale:set_xscale',
+        'yscale:set_yscale',
+    )
+
+    cmappable = {
+        'contour': (
+            'if __ret._A is not None:  # type: ignore[attr-defined]\n'
+            '        sci(__ret)'
+        ),
+        'contourf': (
+            'if __ret._A is not None:  # type: ignore[attr-defined]\n'
+            '        sci(__ret)'
+        ),
+        'hexbin': 'sci(__ret)',
+        'scatter': 'sci(__ret)',
+        'pcolor': 'sci(__ret)',
+        'pcolormesh': 'sci(__ret)',
+        'hist2d': 'sci(__ret[-1])',
+        'imshow': 'sci(__ret)',
+        'spy': (
+            'if isinstance(__ret, _ColorizerInterface):\n'
+            '        sci(__ret)'
+        ),
+        'quiver': 'sci(__ret)',
+        'specgram': 'sci(__ret[-1])',
+        'streamplot': 'sci(__ret.lines)',
+        'tricontour': (
+            'if __ret._A is not None:  # type: ignore[attr-defined]\n'
+            '        sci(__ret)'
+        ),
+        'tricontourf': (
+            'if __ret._A is not None:  # type: ignore[attr-defined]\n'
+            '        sci(__ret)'
+        ),
+        'tripcolor': 'sci(__ret)',
+    }
+
+    for spec in _figure_commands:
+        if ':' in spec:
+            name, called_name = spec.split(':')
+        else:
+            name = called_name = spec
+        yield generate_function(name, f'Figure.{called_name}',
+                                FIGURE_METHOD_TEMPLATE)
+
+    for spec in _axes_commands:
+        if ':' in spec:
+            name, called_name = spec.split(':')
+        else:
+            name = called_name = spec
+
+        template = (AXES_CMAPPABLE_METHOD_TEMPLATE if name in cmappable else
+                    AXES_METHOD_TEMPLATE)
+        yield generate_function(name, f'Axes.{called_name}', template,
+                                sci_command=cmappable.get(name))
+
+    cmaps = (
+        'autumn',
+        'bone',
+        'cool',
+        'copper',
+        'flag',
+        'gray',
+        'hot',
+        'hsv',
+        'jet',
+        'pink',
+        'prism',
+        'spring',
+        'summer',
+        'winter',
+        'magma',
+        'inferno',
+        'plasma',
+        'viridis',
+        "nipy_spectral"
+    )
+    # add all the colormaps (autumn, hsv, ....)
+    for name in cmaps:
+        yield AUTOGEN_MSG
+        yield CMAP_TEMPLATE.format(name=name)
+
+
+def build_pyplot(pyplot_path):
+    pyplot_orig = pyplot_path.read_text().splitlines(keepends=True)
+    try:
+        pyplot_orig = pyplot_orig[:pyplot_orig.index(PYPLOT_MAGIC_HEADER) + 1]
+    except IndexError as err:
+        raise ValueError('The pyplot.py file *must* have the exact line: %s'
+                         % PYPLOT_MAGIC_HEADER) from err
+
+    with pyplot_path.open('w') as pyplot:
+        pyplot.writelines(pyplot_orig)
+        pyplot.writelines(boilerplate_gen())
+
+    # Run black to autoformat pyplot
+    subprocess.run(
+        [sys.executable, "-m", "black", "--line-length=88", pyplot_path],
+        check=True
+    )
+
+
+### Methods for retrieving signatures from pyi stub files
+
+def get_ast_tree(cls):
+    path = Path(inspect.getfile(cls))
+    stubpath = path.with_suffix(".pyi")
+    path = stubpath if stubpath.exists() else path
+    tree = ast.parse(path.read_text())
+    for item in tree.body:
+        if isinstance(item, ast.ClassDef) and item.name == cls.__name__:
+            return item
+    raise ValueError(f"Cannot find {cls.__name__} in ast")
+
+
+@functools.lru_cache
+def get_ast_mro_trees(cls):
+    return [get_ast_tree(c) for c in cls.__mro__ if c.__module__ != "builtins"]
+
+
+def get_matching_signature(method, trees):
+    sig = inspect.signature(method)
+    for tree in trees:
+        for item in tree.body:
+            if not isinstance(item, ast.FunctionDef):
+                continue
+            if item.name == method.__name__:
+                return update_sig_from_node(item, sig)
+    # The following methods are implemented outside of the mro of Axes
+    # and thus do not get their annotated versions found with current code
+    #     stackplot
+    #     streamplot
+    #     table
+    #     tricontour
+    #     tricontourf
+    #     tripcolor
+    #     triplot
+
+    # import warnings
+    # warnings.warn(f"'{method.__name__}' not found")
+    return sig
+
+
+def update_sig_from_node(node, sig):
+    params = dict(sig.parameters)
+    args = node.args
+    allargs = (
+        *args.posonlyargs,
+        *args.args,
+        args.vararg,
+        *args.kwonlyargs,
+        args.kwarg,
+    )
+    for param in allargs:
+        if param is None:
+            continue
+        if param.annotation is None:
+            continue
+        annotation = direct_repr(ast.unparse(param.annotation))
+        params[param.arg] = params[param.arg].replace(annotation=annotation)
+
+    if node.returns is not None:
+        return inspect.Signature(
+            params.values(),
+            return_annotation=direct_repr(ast.unparse(node.returns))
+        )
+    else:
+        return inspect.Signature(params.values())
+
+
+if __name__ == '__main__':
+    # Write the matplotlib.pyplot file.
+    if len(sys.argv) > 1:
+        pyplot_path = Path(sys.argv[1])
+    else:
+        mpl_path = (Path(__file__).parent / ".." /"lib"/"matplotlib").resolve()
+        pyplot_path = mpl_path / "pyplot.py"
+        for cls in [Axes, Figure]:
+            if mpl_path not in  Path(inspect.getfile(cls)).parents:
+                raise RuntimeError(
+                    f"{cls.__name__} import path is not {mpl_path}.\n"
+                    "Please make sure your Matplotlib installation "
+                    "is from the same source checkout as boilerplate.py"
+                )
+    build_pyplot(pyplot_path)
diff --git a/tools/cache_zenodo_svg.py b/tools/cache_zenodo_svg.py
new file mode 100644
index 000000000000..3be7d6ca21e4
--- /dev/null
+++ b/tools/cache_zenodo_svg.py
@@ -0,0 +1,165 @@
+import urllib.request
+from io import BytesIO
+import os
+from pathlib import Path
+
+
+def download_or_cache(url, version):
+    """
+    Get bytes from the given url or local cache.
+
+    Parameters
+    ----------
+    url : str
+        The url to download.
+    sha : str
+        The sha256 of the file.
+
+    Returns
+    -------
+    BytesIO
+        The file loaded into memory.
+    """
+    cache_dir = _get_xdg_cache_dir()
+
+    if cache_dir is not None:  # Try to read from cache.
+        try:
+            data = (cache_dir / version).read_bytes()
+        except OSError:
+            pass
+        else:
+            return BytesIO(data)
+
+    with urllib.request.urlopen(
+        urllib.request.Request(url, headers={"User-Agent": ""})
+    ) as req:
+        data = req.read()
+
+    if cache_dir is not None:  # Try to cache the downloaded file.
+        try:
+            cache_dir.mkdir(parents=True, exist_ok=True)
+            with open(cache_dir / version, "xb") as fout:
+                fout.write(data)
+        except OSError:
+            pass
+
+    return BytesIO(data)
+
+
+def _get_xdg_cache_dir():
+    """
+    Return the XDG cache directory.
+
+    See
+    https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
+    """
+    cache_dir = os.environ.get("XDG_CACHE_HOME")
+    if not cache_dir:
+        cache_dir = os.path.expanduser("~/.cache")
+        if cache_dir.startswith("~/"):  # Expansion failed.
+            return None
+    return Path(cache_dir, "matplotlib")
+
+
+if __name__ == "__main__":
+    data = {
+        "v3.10.0": "14464227",
+        "v3.9.4": "14436121",
+        "v3.9.3": "14249941",
+        "v3.9.2": "13308876",
+        "v3.9.1": "12652732",
+        "v3.9.0": "11201097",
+        "v3.8.4": "10916799",
+        "v3.8.3": "10661079",
+        "v3.8.2": "10150955",
+        "v3.8.1": "10059757",
+        "v3.8.0": "8347255",
+        "v3.7.3": "8336761",
+        "v3.7.2": "8118151",
+        "v3.7.1": "7697899",
+        "v3.7.0": "7637593",
+        "v3.6.3": "7527665",
+        "v3.6.2": "7275322",
+        "v3.6.1": "7162185",
+        "v3.6.0": "7084615",
+        "v3.5.3": "6982547",
+        "v3.5.2": "6513224",
+        "v3.5.1": "5773480",
+        "v3.5.0": "5706396",
+        "v3.4.3": "5194481",
+        "v3.4.2": "4743323",
+        "v3.4.1": "4649959",
+        "v3.4.0": "4638398",
+        "v3.3.4": "4475376",
+        "v3.3.3": "4268928",
+        "v3.3.2": "4030140",
+        "v3.3.1": "3984190",
+        "v3.3.0": "3948793",
+        "v3.2.2": "3898017",
+        "v3.2.1": "3714460",
+        "v3.2.0": "3695547",
+        "v3.1.3": "3633844",
+        "v3.1.2": "3563226",
+        "v3.1.1": "3264781",
+        "v3.1.0": "2893252",
+        "v3.0.3": "2577644",
+        "v3.0.2": "1482099",
+        "v3.0.1": "1482098",
+        "v2.2.5": "3633833",
+        "v3.0.0": "1420605",
+        "v2.2.4": "2669103",
+        "v2.2.3": "1343133",
+        "v2.2.2": "1202077",
+        "v2.2.1": "1202050",
+        "v2.2.0": "1189358",
+        "v2.1.2": "1154287",
+        "v2.1.1": "1098480",
+        "v2.1.0": "1004650",
+        "v2.0.2": "573577",
+        "v2.0.1": "570311",
+        "v2.0.0": "248351",
+        "v1.5.3": "61948",
+        "v1.5.2": "56926",
+        "v1.5.1": "44579",
+        "v1.5.0": "32914",
+        "v1.4.3": "15423",
+        "v1.4.2": "12400",
+        "v1.4.1": "12287",
+        "v1.4.0": "11451",
+    }
+    doc_dir = Path(__file__).parent.parent.absolute() / "doc"
+    target_dir = doc_dir / "_static/zenodo_cache"
+    citing = doc_dir / "project/citing.rst"
+    target_dir.mkdir(exist_ok=True, parents=True)
+    header = []
+    footer = []
+    with open(citing) as fin:
+        target = header
+        for ln in fin:
+            if target is not None:
+                target.append(ln.rstrip())
+            if ln.strip() == ".. START OF AUTOGENERATED":
+                target.extend(["", ""])
+                target = None
+            if ln.strip() == ".. END OF AUTOGENERATED":
+                target = footer
+                target.append(ln.rstrip())
+
+    with open(citing, "w") as fout:
+        fout.write("\n".join(header))
+        for version, doi in data.items():
+            svg_path = target_dir / f"{doi}.svg"
+            if not svg_path.exists():
+                url = f"https://zenodo.org/badge/doi/10.5281/zenodo.{doi}.svg"
+                payload = download_or_cache(url, f"{doi}.svg")
+                with open(svg_path, "xb") as svgout:
+                    svgout.write(payload.read())
+            fout.write(
+                f"""
+{version}
+   .. image:: ../_static/zenodo_cache/{doi}.svg
+      :target:  https://doi.org/10.5281/zenodo.{doi}"""
+            )
+        fout.write("\n\n")
+        fout.write("\n".join(footer))
+        fout.write("\n")
diff --git a/tools/check_typehints.py b/tools/check_typehints.py
new file mode 100755
index 000000000000..f6f745bb08ca
--- /dev/null
+++ b/tools/check_typehints.py
@@ -0,0 +1,319 @@
+#!/usr/bin/env python
+"""
+Perform AST checks to validate consistency of type hints with implementation.
+
+NOTE: in most cases ``stubtest`` (distributed as part of ``mypy``)  should be preferred
+
+This script was written before the configuration of ``stubtest`` was well understood.
+It still has some utility, particularly for checking certain deprecations or other
+decorators which modify the runtime signature where you want the type hint to match
+the python source rather than runtime signature, perhaps.
+
+The basic kinds of checks performed are:
+
+- Set of items defined by the stubs vs implementation
+  - Missing stub: MISSING_STUB = 1
+  - Missing implementation: MISSING_IMPL = 2
+- Signatures of functions/methods
+  - Positional Only Args: POS_ARGS = 4
+  - Keyword or Positional Args: ARGS = 8
+  - Variadic Positional Args: VARARG = 16
+  - Keyword Only Args: KWARGS = 32
+  - Variadic Keyword Only Args: VARKWARG = 64
+
+There are some exceptions to when these are checked:
+
+- Set checks (MISSING_STUB/MISSING_IMPL) only apply at the module level
+  - i.e. not for classes
+  - Inheritance makes the set arithmetic harder when only loading AST
+  - Attributes also make it more complicated when defined in init
+- Functions type hinted with ``overload`` are ignored for argument checking
+  - Usually this means the implementation is less strict in signature but will raise
+    if an invalid signature is used, type checking allows such errors to be caught by
+    the type checker instead of at runtime.
+- Private attribute/functions are ignored
+  - Not expecting a type hint
+  - applies to anything beginning, but not ending in ``__``
+  - If ``__all__`` is defined, also applies to anything not in ``__all__``
+- Deprecated methods are not checked for missing stub
+  - Only applies to wholesale deprecation, not deprecation of an individual arg
+  - Other kinds of deprecations (e.g. argument deletion or rename) the type hint should
+    match the current python definition line still.
+      - For renames, the new name is used
+      - For deletions/make keyword only, it is removed upon expiry
+
+Usage:
+
+Currently there is not any argument handling/etc, so all configuration is done in
+source.
+Since stubtest has almost completely superseded this script, this is unlikely to change.
+
+The categories outlined above can each be ignored, and ignoring multiple can be done
+using the bitwise or (``|``) operator, e.g. ``ARGS | VARKWARG``.
+
+This can be done globally or on a per file basis, by editing ``per_file_ignore``.
+For the latter, the key is the Pathlib Path to the affected file, and the value is the
+integer ignore.
+
+Must be run from repository root:
+
+``python tools/check_typehints.py``
+"""
+
+import ast
+import pathlib
+import sys
+
+MISSING_STUB = 1
+MISSING_IMPL = 2
+POS_ARGS = 4
+ARGS = 8
+VARARG = 16
+KWARGS = 32
+VARKWARG = 64
+
+
+def check_file(path, ignore=0):
+    stubpath = path.with_suffix(".pyi")
+    ret = 0
+    if not stubpath.exists():
+        return 0, 0
+    tree = ast.parse(path.read_text())
+    stubtree = ast.parse(stubpath.read_text())
+    return check_namespace(tree, stubtree, path, ignore)
+
+
+def check_namespace(tree, stubtree, path, ignore=0):
+    ret = 0
+    count = 0
+    tree_items = set(
+        i.name
+        for i in tree.body
+        if hasattr(i, "name") and (not i.name.startswith("_") or i.name.endswith("__"))
+    )
+    stubtree_items = set(
+        i.name
+        for i in stubtree.body
+        if hasattr(i, "name") and (not i.name.startswith("_") or i.name.endswith("__"))
+    )
+
+    for item in tree.body:
+        if isinstance(item, ast.Assign):
+            tree_items |= set(
+                i.id
+                for i in item.targets
+                if hasattr(i, "id")
+                and (not i.id.startswith("_") or i.id.endswith("__"))
+            )
+            for target in item.targets:
+                if isinstance(target, ast.Tuple):
+                    tree_items |= set(i.id for i in target.elts)
+        elif isinstance(item, ast.AnnAssign):
+            tree_items |= {item.target.id}
+    for item in stubtree.body:
+        if isinstance(item, ast.Assign):
+            stubtree_items |= set(
+                i.id
+                for i in item.targets
+                if hasattr(i, "id")
+                and (not i.id.startswith("_") or i.id.endswith("__"))
+            )
+            for target in item.targets:
+                if isinstance(target, ast.Tuple):
+                    stubtree_items |= set(i.id for i in target.elts)
+        elif isinstance(item, ast.AnnAssign):
+            stubtree_items |= {item.target.id}
+
+    try:
+        all_ = ast.literal_eval(ast.unparse(get_subtree(tree, "__all__").value))
+    except ValueError:
+        all_ = []
+
+    if all_:
+        missing = (tree_items - stubtree_items) & set(all_)
+    else:
+        missing = tree_items - stubtree_items
+
+    deprecated = set()
+    for item_name in missing:
+        item = get_subtree(tree, item_name)
+        if hasattr(item, "decorator_list"):
+            if "deprecated" in [
+                i.func.attr
+                for i in item.decorator_list
+                if hasattr(i, "func") and hasattr(i.func, "attr")
+            ]:
+                deprecated |= {item_name}
+
+    if missing - deprecated and ~ignore & MISSING_STUB:
+        print(f"{path}: {missing - deprecated} missing from stubs")
+        ret |= MISSING_STUB
+        count += 1
+
+    non_class_or_func = set()
+    for item_name in stubtree_items - tree_items:
+        try:
+            get_subtree(tree, item_name)
+        except ValueError:
+            pass
+        else:
+            non_class_or_func |= {item_name}
+
+    missing_implementation = stubtree_items - tree_items - non_class_or_func
+    if missing_implementation and ~ignore & MISSING_IMPL:
+        print(f"{path}: {missing_implementation} in stubs and not source")
+        ret |= MISSING_IMPL
+        count += 1
+
+    for item_name in tree_items & stubtree_items:
+        item = get_subtree(tree, item_name)
+        stubitem = get_subtree(stubtree, item_name)
+        if isinstance(item, ast.FunctionDef) and isinstance(stubitem, ast.FunctionDef):
+            err, c = check_function(item, stubitem, f"{path}::{item_name}", ignore)
+            ret |= err
+            count += c
+        if isinstance(item, ast.ClassDef):
+            # Ignore set differences for classes... while it would be nice to have
+            # inheritance and attributes set in init/methods make both presence and
+            # absence of nodes spurious
+            err, c = check_namespace(
+                item,
+                stubitem,
+                f"{path}::{item_name}",
+                ignore | MISSING_STUB | MISSING_IMPL,
+            )
+            ret |= err
+            count += c
+
+    return ret, count
+
+
+def check_function(item, stubitem, path, ignore):
+    ret = 0
+    count = 0
+
+    # if the stub calls overload, assume it knows what its doing
+    overloaded = "overload" in [
+        i.id for i in stubitem.decorator_list if hasattr(i, "id")
+    ]
+    if overloaded:
+        return 0, 0
+
+    item_posargs = [a.arg for a in item.args.posonlyargs]
+    stubitem_posargs = [a.arg for a in stubitem.args.posonlyargs]
+    if item_posargs != stubitem_posargs and ~ignore & POS_ARGS:
+        print(
+            f"{path} {item.name} posargs differ: {item_posargs} vs {stubitem_posargs}"
+        )
+        ret |= POS_ARGS
+        count += 1
+
+    item_args = [a.arg for a in item.args.args]
+    stubitem_args = [a.arg for a in stubitem.args.args]
+    if item_args != stubitem_args and ~ignore & ARGS:
+        print(f"{path} args differ for {item.name}: {item_args} vs {stubitem_args}")
+        ret |= ARGS
+        count += 1
+
+    item_vararg = item.args.vararg
+    stubitem_vararg = stubitem.args.vararg
+    if ~ignore & VARARG:
+        if (item_vararg is None) ^ (stubitem_vararg is None):
+            if item_vararg:
+                print(
+                    f"{path} {item.name} vararg differ: "
+                    f"{item_vararg.arg} vs {stubitem_vararg}"
+                )
+            else:
+                print(
+                    f"{path} {item.name} vararg differ: "
+                    f"{item_vararg} vs {stubitem_vararg.arg}"
+                )
+            ret |= VARARG
+            count += 1
+        elif item_vararg is None:
+            pass
+        elif item_vararg.arg != stubitem_vararg.arg:
+            print(
+                f"{path} {item.name} vararg differ: "
+                f"{item_vararg.arg} vs {stubitem_vararg.arg}"
+            )
+            ret |= VARARG
+            count += 1
+
+    item_kwonlyargs = [a.arg for a in item.args.kwonlyargs]
+    stubitem_kwonlyargs = [a.arg for a in stubitem.args.kwonlyargs]
+    if item_kwonlyargs != stubitem_kwonlyargs and ~ignore & KWARGS:
+        print(
+            f"{path} {item.name} kwonlyargs differ: "
+            f"{item_kwonlyargs} vs {stubitem_kwonlyargs}"
+        )
+        ret |= KWARGS
+        count += 1
+
+    item_kwarg = item.args.kwarg
+    stubitem_kwarg = stubitem.args.kwarg
+    if ~ignore & VARKWARG:
+        if (item_kwarg is None) ^ (stubitem_kwarg is None):
+            if item_kwarg:
+                print(
+                    f"{path} {item.name} varkwarg differ: "
+                    f"{item_kwarg.arg} vs {stubitem_kwarg}"
+                )
+            else:
+                print(
+                    f"{path} {item.name} varkwarg differ: "
+                    f"{item_kwarg} vs {stubitem_kwarg.arg}"
+                )
+            ret |= VARKWARG
+            count += 1
+        elif item_kwarg is None:
+            pass
+        elif item_kwarg.arg != stubitem_kwarg.arg:
+            print(
+                f"{path} {item.name} varkwarg differ: "
+                f"{item_kwarg.arg} vs {stubitem_kwarg.arg}"
+            )
+            ret |= VARKWARG
+            count += 1
+
+    return ret, count
+
+
+def get_subtree(tree, name):
+    for item in tree.body:
+        if isinstance(item, ast.Assign):
+            if name in [i.id for i in item.targets if hasattr(i, "id")]:
+                return item
+            for target in item.targets:
+                if isinstance(target, ast.Tuple):
+                    if name in [i.id for i in target.elts]:
+                        return item
+        if isinstance(item, ast.AnnAssign):
+            if name == item.target.id:
+                return item
+        if not hasattr(item, "name"):
+            continue
+        if item.name == name:
+            return item
+    raise ValueError(f"no such item {name} in tree")
+
+
+if __name__ == "__main__":
+    out = 0
+    count = 0
+    basedir = pathlib.Path("lib/matplotlib")
+    per_file_ignore = {
+        # Edge cases for items set via `get_attr`, etc
+        basedir / "__init__.py": MISSING_IMPL,
+        # Base class has **kwargs, subclasses have more specific
+        basedir / "ticker.py": VARKWARG,
+        basedir / "layout_engine.py": VARKWARG,
+    }
+    for f in basedir.rglob("**/*.py"):
+        err, c = check_file(f, ignore=0 | per_file_ignore.get(f, 0))
+        out |= err
+        count += c
+    print("\n")
+    print(f"{count} total errors found")
+    sys.exit(out)
diff --git a/tools/create_DejaVuDisplay.sh b/tools/create_DejaVuDisplay.sh
new file mode 100755
index 000000000000..8ee3b1659e62
--- /dev/null
+++ b/tools/create_DejaVuDisplay.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+
+# Subsetting DejaVu fonts to create a display-math-only font
+
+# The DejaVu fonts include math display variants outside of the Unicode range,
+# and it is currently hard to access them from matplotlib. The subset.py script
+# in `tools` has been modified to move the math display variants found in DejaVu
+# fonts into a new TTF font with these variants in the Unicode range.
+
+# This bash script calls the subset.py scripts with the appropriate options to
+# generate the new font files `DejaVuSansDisplay.ttf` and
+# `DejaVuSerifDisplay.ttf`:
+
+mpldir=$(dirname $0)/../
+
+# test that fontforge is installed
+python -c 'import fontforge' 2> /dev/null
+if [ $? != 0 ]; then
+    echo "The python installation at $(which python) does not have fontforge"
+    echo "installed. Please install it before using subset.py."
+    exit 1
+fi
+
+FONTDIR=$mpldir/lib/matplotlib/mpl-data/fonts/ttf/
+
+python $mpldir/tools/subset.py --move-display --subset=dejavu-ext $FONTDIR/DejaVuSans.ttf \
+    $FONTDIR/DejaVuSansDisplay.ttf
+python $mpldir/tools/subset.py --move-display --subset=dejavu-ext $FONTDIR/DejaVuSerif.ttf \
+    $FONTDIR/DejaVuSerifDisplay.ttf
diff --git a/tools/embed_js.py b/tools/embed_js.py
new file mode 100644
index 000000000000..571bf80238e9
--- /dev/null
+++ b/tools/embed_js.py
@@ -0,0 +1,102 @@
+"""
+Script to embed JavaScript dependencies in mpl.js.
+"""
+
+from collections import namedtuple
+from pathlib import Path
+import re
+import shutil
+import subprocess
+import sys
+
+
+Package = namedtuple('Package', [
+    # The package to embed, in some form that `npm install` can use.
+    'name',
+    # The path to the source file within the package to embed.
+    'source',
+    # The path to the license file within the package to embed.
+    'license'])
+# The list of packages to embed, in some form that `npm install` can use.
+JAVASCRIPT_PACKAGES = [
+    # Polyfill/ponyfill for ResizeObserver.
+    Package('@jsxtools/resize-observer', 'index.js', 'LICENSE.md'),
+]
+# This is the magic line that must exist in mpl.js, after which the embedded
+# JavaScript will be appended.
+MPLJS_MAGIC_HEADER = (
+    "///////////////// REMAINING CONTENT GENERATED BY embed_js.py "
+    "/////////////////\n")
+
+
+def safe_name(name):
+    """
+    Make *name* safe to use as a JavaScript variable name.
+    """
+    return '_'.join(re.split(r'[@/-]', name)).upper()
+
+
+def prep_package(web_backend_path, pkg):
+    source = web_backend_path / 'node_modules' / pkg.name / pkg.source
+    license = web_backend_path / 'node_modules' / pkg.name / pkg.license
+    if not source.exists():
+        # Exact version should already be saved in package.json, so we use
+        # --no-save here.
+        try:
+            subprocess.run(['npm', 'install', '--no-save', pkg.name],
+                           cwd=web_backend_path)
+        except FileNotFoundError as err:
+            raise ValueError(
+                f'npm must be installed to fetch {pkg.name}') from err
+    if not source.exists():
+        raise ValueError(
+            f'{pkg.name} package is missing source in {pkg.source}')
+    elif not license.exists():
+        raise ValueError(
+            f'{pkg.name} package is missing license in {pkg.license}')
+
+    return source, license
+
+
+def gen_embedded_lines(pkg, source):
+    name = safe_name(pkg.name)
+    print('Embedding', source, 'as', name)
+    yield '// prettier-ignore\n'
+    for line in source.read_text().splitlines():
+        yield (line.replace('module.exports=function', f'var {name}=function')
+               + ' // eslint-disable-line\n')
+
+
+def build_mpljs(web_backend_path, license_path):
+    mpljs_path = web_backend_path / "js/mpl.js"
+    mpljs_orig = mpljs_path.read_text().splitlines(keepends=True)
+    try:
+        mpljs_orig = mpljs_orig[:mpljs_orig.index(MPLJS_MAGIC_HEADER) + 1]
+    except IndexError as err:
+        raise ValueError(
+            f'The mpl.js file *must* have the exact line: {MPLJS_MAGIC_HEADER}'
+        ) from err
+
+    with mpljs_path.open('w') as mpljs:
+        mpljs.writelines(mpljs_orig)
+
+        for pkg in JAVASCRIPT_PACKAGES:
+            source, license = prep_package(web_backend_path, pkg)
+            mpljs.writelines(gen_embedded_lines(pkg, source))
+
+            shutil.copy(license,
+                        license_path / f'LICENSE{safe_name(pkg.name)}')
+
+
+if __name__ == '__main__':
+    # Write the mpl.js file.
+    if len(sys.argv) > 1:
+        web_backend_path = Path(sys.argv[1])
+    else:
+        web_backend_path = (Path(__file__).parent.parent /
+                            "lib/matplotlib/backends/web_backend")
+    if len(sys.argv) > 2:
+        license_path = Path(sys.argv[2])
+    else:
+        license_path = Path(__file__).parent.parent / "LICENSE"
+    build_mpljs(web_backend_path, license_path)
diff --git a/tools/generate_matplotlibrc.py b/tools/generate_matplotlibrc.py
new file mode 100755
index 000000000000..a5619a0fec3e
--- /dev/null
+++ b/tools/generate_matplotlibrc.py
@@ -0,0 +1,28 @@
+#!/usr/bin/env python3
+"""
+Generate matplotlirc for installs.
+
+If packagers want to change the default backend, insert a `#backend: ...` line.
+Otherwise, use the default `##backend: Agg` which has no effect even after
+decommenting, which allows _auto_backend_sentinel to be filled in at import
+time.
+"""
+
+import sys
+from pathlib import Path
+
+
+if len(sys.argv) != 4:
+    raise SystemExit('usage: {sys.argv[0]} <input> <output> <backend>')
+
+input = Path(sys.argv[1])
+output = Path(sys.argv[2])
+backend = sys.argv[3]
+
+template_lines = input.read_text(encoding="utf-8").splitlines(True)
+backend_line_idx, = (  # Also asserts that there is a single such line.
+    idx for idx, line in enumerate(template_lines)
+    if "#backend:" in line)
+template_lines[backend_line_idx] = (
+    f"#backend: {backend}\n" if backend not in ['', 'auto'] else "##backend: Agg\n")
+output.write_text("".join(template_lines), encoding="utf-8")
diff --git a/tools/gh_api.py b/tools/gh_api.py
index 8c620982c104..10119793ede9 100644
--- a/tools/gh_api.py
+++ b/tools/gh_api.py
@@ -1,18 +1,12 @@
-"""Functions for Github API requests."""
-from __future__ import print_function
-
-try:
-    input = raw_input
-except NameError:
-    pass
+"""Functions for GitHub API requests."""
 
+import getpass
+import json
 import os
 import re
 import sys
 
 import requests
-import getpass
-import json
 
 try:
     import requests_cache
@@ -30,8 +24,8 @@ class Obj(dict):
     def __getattr__(self, name):
         try:
             return self[name]
-        except KeyError:
-            raise AttributeError(name)
+        except KeyError as err:
+            raise AttributeError(name) from err
 
     def __setattr__(self, name, val):
         self[name] = val
@@ -43,6 +37,13 @@ def get_auth_token():
     if token is not None:
         return token
 
+    try:
+        with open(os.path.join(os.path.expanduser('~'), '.ghoauth')) as f:
+            token, = f
+            return token
+    except Exception:
+        pass
+
     import keyring
     token = keyring.get_password('github', fake_username)
     if token is not None:
@@ -50,7 +51,7 @@ def get_auth_token():
 
     print("Please enter your github username and password. These are not "
            "stored, only used to get an oAuth token. You can revoke this at "
-           "any time on Github.")
+           "any time on GitHub.")
     user = input("Username: ")
     pw = getpass.getpass("Password: ")
 
@@ -70,10 +71,10 @@ def get_auth_token():
     return token
 
 def make_auth_header():
-    return {'Authorization': 'token ' + get_auth_token()}
+    return {'Authorization': 'token ' + get_auth_token().replace("\n","")}
 
 def post_issue_comment(project, num, body):
-    url = 'https://api.github.com/repos/{project}/issues/{num}/comments'.format(project=project, num=num)
+    url = f'https://api.github.com/repos/{project}/issues/{num}/comments'
     payload = json.dumps({'body': body})
     requests.post(url, data=payload, headers=make_auth_header())
 
@@ -96,20 +97,20 @@ def post_gist(content, description='', filename='file', auth=False):
     return response_data['html_url']
 
 def get_pull_request(project, num, auth=False):
-    """get pull request info  by number
-    """
-    url = "https://api.github.com/repos/{project}/pulls/{num}".format(project=project, num=num)
+    """Return the pull request info for a given PR number."""
+    url = f"https://api.github.com/repos/{project}/pulls/{num}"
     if auth:
         header = make_auth_header()
     else:
         header = None
+    print("fetching %s" % url, file=sys.stderr)
     response = requests.get(url, headers=header)
     response.raise_for_status()
     return json.loads(response.text, object_hook=Obj)
 
 def get_pull_request_files(project, num, auth=False):
     """get list of files in a pull request"""
-    url = "https://api.github.com/repos/{project}/pulls/{num}/files".format(project=project, num=num)
+    url = f"https://api.github.com/repos/{project}/pulls/{num}/files"
     if auth:
         header = make_auth_header()
     else:
@@ -126,9 +127,9 @@ def get_paged_request(url, headers=None, **params):
     while True:
         if '?' in url:
             params = None
-            print("fetching %s" % url, file=sys.stderr)
+            print(f"fetching {url}", file=sys.stderr)
         else:
-            print("fetching %s with %s" % (url, params), file=sys.stderr)
+            print(f"fetching {url} with {params}", file=sys.stderr)
         response = requests.get(url, headers=headers, params=params)
         response.raise_for_status()
         results.extend(response.json())
@@ -141,7 +142,7 @@ def get_paged_request(url, headers=None, **params):
 def get_pulls_list(project, auth=False, **params):
     """get pull request list"""
     params.setdefault("state", "closed")
-    url = "https://api.github.com/repos/{project}/pulls".format(project=project)
+    url = f"https://api.github.com/repos/{project}/pulls"
     if auth:
         headers = make_auth_header()
     else:
@@ -152,7 +153,7 @@ def get_pulls_list(project, auth=False, **params):
 def get_issues_list(project, auth=False, **params):
     """get issues list"""
     params.setdefault("state", "closed")
-    url = "https://api.github.com/repos/{project}/issues".format(project=project)
+    url = f"https://api.github.com/repos/{project}/issues"
     if auth:
         headers = make_auth_header()
     else:
@@ -161,7 +162,8 @@ def get_issues_list(project, auth=False, **params):
     return pages
 
 def get_milestones(project, auth=False, **params):
-    url = "https://api.github.com/repos/{project}/milestones".format(project=project)
+    params.setdefault('state', 'all')
+    url = f"https://api.github.com/repos/{project}/milestones"
     if auth:
         headers = make_auth_header()
     else:
@@ -174,8 +176,7 @@ def get_milestone_id(project, milestone, auth=False, **params):
     for mstone in milestones:
         if mstone['title'] == milestone:
             return mstone['number']
-    else:
-        raise ValueError("milestone %s not found" % milestone)
+    raise ValueError("milestone %s not found" % milestone)
 
 def is_pull_request(issue):
     """Return True if the given issue is a pull request."""
@@ -190,7 +191,7 @@ def get_authors(pr):
     authors = []
     for commit in commits:
         author = commit['commit']['author']
-        authors.append("%s <%s>" % (author['name'], author['email']))
+        authors.append(f"{author['name']} <{author['email']}>")
     return authors
 
 # encode_multipart_formdata is from urllib3.filepost
@@ -198,11 +199,11 @@ def get_authors(pr):
 
 def iter_fields(fields):
     fields = fields.copy()
-    for key in ('key', 'acl', 'Filename', 'success_action_status', 'AWSAccessKeyId',
-        'Policy', 'Signature', 'Content-Type', 'file'):
-        yield (key, fields.pop(key))
-    for (k,v) in fields.items():
-        yield k,v
+    for key in [
+            'key', 'acl', 'Filename', 'success_action_status',
+            'AWSAccessKeyId', 'Policy', 'Signature', 'Content-Type', 'file']:
+        yield key, fields.pop(key)
+    yield from fields.items()
 
 def encode_multipart_formdata(fields, boundary=None):
     """
@@ -214,7 +215,7 @@ def encode_multipart_formdata(fields, boundary=None):
         bytes. If the value is a tuple of two elements, then the first element
         is treated as the filename of the form-data section.
 
-        Field names and filenames must be unicode.
+        Field names and filenames must be str.
 
     :param boundary:
         If not specified, then a random boundary will be generated using
@@ -223,7 +224,7 @@ def encode_multipart_formdata(fields, boundary=None):
     # copy requests imports in here:
     from io import BytesIO
     from requests.packages.urllib3.filepost import (
-        choose_boundary, six, writer, b, get_content_type
+        choose_boundary, writer, b, get_content_type
     )
     body = BytesIO()
     if boundary is None:
@@ -246,7 +247,7 @@ def encode_multipart_formdata(fields, boundary=None):
 
         if isinstance(data, int):
             data = str(data)  # Backwards compatibility
-        if isinstance(data, six.text_type):
+        if isinstance(data, str):
             writer(body).write(data)
         else:
             body.write(data)
@@ -267,7 +268,7 @@ def post_download(project, filename, name=None, description=""):
     with open(filename, 'rb') as f:
         filedata = f.read()
 
-    url = "https://api.github.com/repos/{project}/downloads".format(project=project)
+    url = f"https://api.github.com/repos/{project}/downloads"
 
     payload = json.dumps(dict(name=name, size=len(filedata),
                     description=description))
diff --git a/tools/github_stats.py b/tools/github_stats.py
index 8fd415640dc4..af0255fcefba 100755
--- a/tools/github_stats.py
+++ b/tools/github_stats.py
@@ -1,19 +1,15 @@
 #!/usr/bin/env python
-"""Simple tools to query github.com and gather stats about issues.
-
-The tool is copied from IPython rev 59f77d02558ed9b42303d04a22c49a230f5c7159
+"""
+Simple tools to query github.com and gather stats about issues.
 
-To generate a report for Matplotlib 1.4.0, run:
+To generate a report for Matplotlib 3.0.0, run:
 
-    python github_stats.py --since-tag v1.3.0
+    python github_stats.py --milestone 3.0.0 --since-tag v2.0.0
 """
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Imports
-#-----------------------------------------------------------------------------
-
-from __future__ import print_function
+# -----------------------------------------------------------------------------
 
-import codecs
 import sys
 
 from argparse import ArgumentParser
@@ -24,36 +20,75 @@
     get_paged_request, make_auth_header, get_pull_request, is_pull_request,
     get_milestone_id, get_issues_list, get_authors,
 )
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Globals
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 
 ISO8601 = "%Y-%m-%dT%H:%M:%SZ"
 PER_PAGE = 100
 
-#-----------------------------------------------------------------------------
+REPORT_TEMPLATE = """\
+.. _github-stats:
+
+{title}
+{title_underline}
+
+GitHub statistics for {since_day} (tag: {tag}) - {today}
+
+These lists are automatically generated, and may be incomplete or contain duplicates.
+
+We closed {n_issues} issues and merged {n_pulls} pull requests.
+{milestone}
+The following {nauthors} authors contributed {ncommits} commits.
+
+{unique_authors}
+{links}
+
+Previous GitHub statistics
+--------------------------
+
+.. toctree::
+    :maxdepth: 1
+    :glob:
+    :reversed:
+
+    prev_whats_new/github_stats_*"""
+MILESTONE_TEMPLATE = (
+    'The full list can be seen `on GitHub '
+    '<https://github.com/{project}/milestone/{milestone_id}?closed=1>`__\n')
+LINKS_TEMPLATE = """
+GitHub issues and pull requests:
+
+Pull Requests ({n_pulls}):
+
+{pull_request_report}
+
+Issues ({n_issues}):
+
+{issue_report}
+"""
+
+# -----------------------------------------------------------------------------
 # Functions
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
+
 
 def round_hour(dt):
-    return dt.replace(minute=0,second=0,microsecond=0)
+    return dt.replace(minute=0, second=0, microsecond=0)
+
 
 def _parse_datetime(s):
-    """Parse dates in the format returned by the Github API."""
-    if s:
-        return datetime.strptime(s, ISO8601)
-    else:
-        return datetime.fromtimestamp(0)
+    """Parse dates in the format returned by the GitHub API."""
+    return datetime.strptime(s, ISO8601) if s else datetime.fromtimestamp(0)
+
 
 def issues2dict(issues):
     """Convert a list of issues to a dict, keyed by issue number."""
-    idict = {}
-    for i in issues:
-        idict[i['number']] = i
-    return idict
+    return {i['number']: i for i in issues}
 
-def split_pulls(all_issues, project="ipython/ipython"):
-    """split a list of closed issues into non-PR Issues and Pull Requests"""
+
+def split_pulls(all_issues, project="matplotlib/matplotlib"):
+    """Split a list of closed issues into non-PR Issues and Pull Requests."""
     pulls = []
     issues = []
     for i in all_issues:
@@ -65,9 +100,12 @@ def split_pulls(all_issues, project="ipython/ipython"):
     return issues, pulls
 
 
-def issues_closed_since(period=timedelta(days=365), project="ipython/ipython", pulls=False):
-    """Get all issues closed since a particular point in time. period
-    can either be a datetime object, or a timedelta object. In the
+def issues_closed_since(period=timedelta(days=365),
+                        project='matplotlib/matplotlib', pulls=False):
+    """
+    Get all issues closed since a particular point in time.
+
+    *period* can either be a datetime object, or a timedelta object. In the
     latter case, it is used as a time before the present.
     """
 
@@ -77,74 +115,86 @@ def issues_closed_since(period=timedelta(days=365), project="ipython/ipython", p
         since = round_hour(datetime.utcnow() - period)
     else:
         since = period
-    url = "https://api.github.com/repos/%s/%s?state=closed&sort=updated&since=%s&per_page=%i" % (project, which, since.strftime(ISO8601), PER_PAGE)
+    url = (
+        f'https://api.github.com/repos/{project}/{which}'
+        f'?state=closed'
+        f'&sort=updated'
+        f'&since={since.strftime(ISO8601)}'
+        f'&per_page={PER_PAGE}')
     allclosed = get_paged_request(url, headers=make_auth_header())
-    
-    filtered = [ i for i in allclosed if _parse_datetime(i['closed_at']) > since ]
+
+    filtered = (i for i in allclosed
+                if _parse_datetime(i['closed_at']) > since)
     if pulls:
-        filtered = [ i for i in filtered if _parse_datetime(i['merged_at']) > since ]
-        # filter out PRs not against master (backports)
-        filtered = [ i for i in filtered if i['base']['ref'] == 'master' ]
+        filtered = (i for i in filtered
+                    if _parse_datetime(i['merged_at']) > since)
+        # filter out PRs not against main (backports)
+        filtered = (i for i in filtered if i['base']['ref'] == 'main')
     else:
-        filtered = [ i for i in filtered if not is_pull_request(i) ]
-    
-    return filtered
+        filtered = (i for i in filtered if not is_pull_request(i))
+
+    return list(filtered)
 
 
 def sorted_by_field(issues, field='closed_at', reverse=False):
-    """Return a list of issues sorted by closing date date."""
-    return sorted(issues, key = lambda i:i[field], reverse=reverse)
+    """Return a list of issues sorted by closing date."""
+    return sorted(issues, key=lambda i: i[field], reverse=reverse)
 
 
 def report(issues, show_urls=False):
-    """Summary report about a list of issues, printing number and title.
-    """
-    # titles may have unicode in them, so we must encode everything below
+    """Summary report about a list of issues, printing number and title."""
+    lines = []
     if show_urls:
         for i in issues:
             role = 'ghpull' if 'merged_at' in i else 'ghissue'
-            print(u'* :%s:`%d`: %s' % (role, i['number'],
-                                        i['title'].replace(u'`', u'\`').replace(u'*',u'\*').replace(u'_',u'\_')))
+            number = i['number']
+            title = i['title'].replace('`', '``').strip()
+            lines.append(f'* :{role}:`{number}`: {title}')
     else:
         for i in issues:
-            print(u'* %d: %s' % (i['number'], i['title'].replace(u'`', u'\`').replace(u'*',u'\*').replace(u'_',u'\_')))
+            number = i['number']
+            title = i['title'].replace('`', '``').strip()
+            lines.append('* {number}: {title}')
+    return '\n'.join(lines)
 
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 # Main script
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 
 if __name__ == "__main__":
-    # deal with unicode
-    sys.stdout = codecs.getwriter('utf8')(sys.stdout)
-    
     # Whether to add reST urls for all issues in printout.
     show_urls = True
-    
+
     parser = ArgumentParser()
-    parser.add_argument('--since-tag', type=str,
-        help="The git tag to use for the starting point (typically the last major release)."
-    )
-    parser.add_argument('--milestone', type=str,
-        help="The GitHub milestone to use for filtering issues [optional]."
-    )
-    parser.add_argument('--days', type=int,
-        help="The number of days of data to summarize (use this or --since-tag)."
-    )
-    parser.add_argument('--project', type=str, default="matplotlib/matplotlib",
-        help="The project to summarize."
-    )
-    
+    parser.add_argument(
+        '--since-tag', type=str,
+        help='The git tag to use for the starting point '
+             '(typically the last macro release).')
+    parser.add_argument(
+        '--milestone', type=str,
+        help='The GitHub milestone to use for filtering issues [optional].')
+    parser.add_argument(
+        '--days', type=int,
+        help='The number of days of data to summarize (use this or --since-tag).')
+    parser.add_argument(
+        '--project', type=str, default='matplotlib/matplotlib',
+        help='The project to summarize.')
+    parser.add_argument(
+        '--links', action='store_true', default=False,
+        help='Include links to all closed Issues and PRs in the output.')
+
     opts = parser.parse_args()
     tag = opts.since_tag
-    
+
     # set `since` from days or git tag
     if opts.days:
         since = datetime.utcnow() - timedelta(days=opts.days)
     else:
         if not tag:
-            tag = check_output(['git', 'describe', '--abbrev=0']).strip()
+            tag = check_output(['git', 'describe', '--abbrev=0'],
+                               encoding='utf8').strip()
         cmd = ['git', 'log', '-1', '--format=%ai', tag]
-        tagday, tz = check_output(cmd).strip().rsplit(' ', 1)
+        tagday, tz = check_output(cmd, encoding='utf8').strip().rsplit(' ', 1)
         since = datetime.strptime(tagday, "%Y-%m-%d %H:%M:%S")
         h = int(tz[1:3])
         m = int(tz[3:])
@@ -153,79 +203,77 @@ def report(issues, show_urls=False):
             since += td
         else:
             since -= td
-    
+
     since = round_hour(since)
-    
+
     milestone = opts.milestone
     project = opts.project
 
-    print("fetching GitHub stats since %s (tag: %s, milestone: %s)" % (since, tag, milestone), file=sys.stderr)
+    print(f'fetching GitHub stats since {since} (tag: {tag}, milestone: {milestone})',
+          file=sys.stderr)
     if milestone:
         milestone_id = get_milestone_id(project=project, milestone=milestone,
-                auth=True)
-        issues_and_pulls = get_issues_list(project=project,
-                milestone=milestone_id,
-                state='closed',
-                auth=True,
-        )
-        issues, pulls = split_pulls(issues_and_pulls)
+                                        auth=True)
+        issues_and_pulls = get_issues_list(project=project, milestone=milestone_id,
+                                           state='closed', auth=True)
+        issues, pulls = split_pulls(issues_and_pulls, project=project)
     else:
         issues = issues_closed_since(since, project=project, pulls=False)
         pulls = issues_closed_since(since, project=project, pulls=True)
-    
-    # For regular reports, it's nice to show them in reverse chronological order
+
+    # For regular reports, it's nice to show them in reverse chronological order.
     issues = sorted_by_field(issues, reverse=True)
     pulls = sorted_by_field(pulls, reverse=True)
-    
+
     n_issues, n_pulls = map(len, (issues, pulls))
     n_total = n_issues + n_pulls
-    
-    # Print summary report we can directly include into release notes.
-    
-    print()
     since_day = since.strftime("%Y/%m/%d")
-    today = datetime.today().strftime("%Y/%m/%d")
-    print(".. _github-stats:")
-    print()
-    print('Github stats')
-    print('============')
-    print()
-    print("GitHub stats for %s - %s (tag: %s)" % (since_day, today, tag))
-    print()
-    print("These lists are automatically generated, and may be incomplete or contain duplicates.")
-    print()
-    
+    today = datetime.today()
+
+    title = (f'GitHub statistics for {milestone.lstrip("v")} '
+             f'{today.strftime("(%b %d, %Y)")}')
+
     ncommits = 0
     all_authors = []
     if tag:
         # print git info, in addition to GitHub info:
-        since_tag = tag+'..'
+        since_tag = f'{tag}..'
         cmd = ['git', 'log', '--oneline', since_tag]
         ncommits += len(check_output(cmd).splitlines())
-        
-        author_cmd = ['git', 'log', '--use-mailmap', "--format=* %aN", since_tag]
-        all_authors.extend(check_output(author_cmd).decode('utf-8', 'replace').splitlines())
-    
+
+        author_cmd = ['git', 'log', '--use-mailmap', '--format=* %aN', since_tag]
+        all_authors.extend(
+            check_output(author_cmd, encoding='utf-8', errors='replace').splitlines())
+
     pr_authors = []
     for pr in pulls:
         pr_authors.extend(get_authors(pr))
     ncommits = len(pr_authors) + ncommits - len(pulls)
     author_cmd = ['git', 'check-mailmap'] + pr_authors
-    with_email = check_output(author_cmd).decode('utf-8', 'replace').splitlines()
-    all_authors.extend([ u'* ' + a.split(' <')[0] for a in with_email ])
+    with_email = check_output(author_cmd,
+                              encoding='utf-8', errors='replace').splitlines()
+    all_authors.extend(['* ' + a.split(' <')[0] for a in with_email])
     unique_authors = sorted(set(all_authors), key=lambda s: s.lower())
 
-    print("The following %i authors contributed %i commits." % (len(unique_authors), ncommits))
-    print()
-    print('\n'.join(unique_authors))
-    
-    print()
-    print("We closed %d issues and merged %d pull requests;\n"
-          "this is the full list (generated with the script \n"
-          ":file:`tools/github_stats.py`):" % (n_pulls, n_issues))
-    print()
-    print('Pull Requests (%d):\n' % n_pulls)
-    report(pulls, show_urls)
-    print()
-    print('Issues (%d):\n' % n_issues)
-    report(issues, show_urls)
+    if milestone:
+        milestone_str = MILESTONE_TEMPLATE.format(project=project,
+                                                  milestone_id=milestone_id)
+    else:
+        milestone_str = ''
+
+    if opts.links:
+        links = LINKS_TEMPLATE.format(n_pulls=n_pulls,
+                                      pull_request_report=report(pulls, show_urls),
+                                      n_issues=n_issues,
+                                      issue_report=report(issues, show_urls))
+    else:
+        links = ''
+
+    # Print summary report we can directly include into release notes.
+    print(REPORT_TEMPLATE.format(title=title, title_underline='=' * len(title),
+                                 since_day=since_day, tag=tag,
+                                 today=today.strftime('%Y/%m/%d'),
+                                 n_issues=n_issues, n_pulls=n_pulls,
+                                 milestone=milestone_str,
+                                 nauthors=len(unique_authors), ncommits=ncommits,
+                                 unique_authors='\n'.join(unique_authors), links=links))
diff --git a/tools/make_icons.py b/tools/make_icons.py
new file mode 100755
index 000000000000..f09d40e92256
--- /dev/null
+++ b/tools/make_icons.py
@@ -0,0 +1,121 @@
+#!/usr/bin/env python
+"""
+Generates the Matplotlib icon, and the toolbar icon images from the FontAwesome
+font.
+
+Generates SVG, PDF in one size (since they are vectors), and PNG in 24x24 and
+48x48.
+"""
+
+from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
+from io import BytesIO
+from pathlib import Path
+import tarfile
+import urllib.request
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+plt.rcdefaults()
+plt.rcParams['svg.fonttype'] = 'path'
+plt.rcParams['pdf.fonttype'] = 3
+plt.rcParams['pdf.compression'] = 9
+
+
+def get_fontawesome():
+    cached_path = Path(mpl.get_cachedir(), "FontAwesome.otf")
+    if not cached_path.exists():
+        with urllib.request.urlopen(
+                "https://github.com/FortAwesome/Font-Awesome"
+                "/archive/v4.7.0.tar.gz") as req, \
+             tarfile.open(fileobj=BytesIO(req.read()), mode="r:gz") as tf:
+            cached_path.write_bytes(tf.extractfile(tf.getmember(
+                "Font-Awesome-4.7.0/fonts/FontAwesome.otf")).read())
+    return cached_path
+
+
+def save_icon(fig, dest_dir, name, add_black_fg_color):
+    if add_black_fg_color:
+        # Add explicit black foreground color to monochromatic svg icons
+        # so it can be replaced by backends to add dark theme support
+        svg_bytes_io = BytesIO()
+        fig.savefig(svg_bytes_io, format='svg')
+        svg = svg_bytes_io.getvalue()
+        before, sep, after = svg.rpartition(b'\nz\n"')
+        svg = before + sep + b' style="fill:black;"' + after
+        (dest_dir / (name + '.svg')).write_bytes(svg)
+    else:
+        fig.savefig(dest_dir / (name + '.svg'))
+    fig.savefig(dest_dir / (name + '.pdf'))
+    for dpi, suffix in [(24, ''), (48, '_large')]:
+        fig.savefig(dest_dir / (name + suffix + '.png'), dpi=dpi)
+
+
+def make_icon(font_path, ccode):
+    fig = plt.figure(figsize=(1, 1))
+    fig.patch.set_alpha(0.0)
+    fig.text(0.5, 0.48, chr(ccode), ha='center', va='center',
+             font=font_path, fontsize=68)
+    return fig
+
+
+def make_matplotlib_icon():
+    fig = plt.figure(figsize=(1, 1))
+    fig.patch.set_alpha(0.0)
+    ax = fig.add_axes([0.025, 0.025, 0.95, 0.95], projection='polar')
+    ax.set_axisbelow(True)
+
+    N = 7
+    arc = 2 * np.pi
+    theta = np.arange(0, arc, arc / N)
+    radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
+    width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
+    bars = ax.bar(theta, radii, width=width, bottom=0.0, linewidth=1,
+                  edgecolor='k')
+
+    for r, bar in zip(radii, bars):
+        bar.set_facecolor(mpl.cm.jet(r / 10))
+
+    ax.tick_params(labelleft=False, labelright=False,
+                   labelbottom=False, labeltop=False)
+    ax.grid(lw=0.0)
+
+    ax.set_yticks(np.arange(1, 9, 2))
+    ax.set_rmax(9)
+
+    return fig
+
+
+icon_defs = [
+    ('home', 0xf015),
+    ('back', 0xf060),
+    ('forward', 0xf061),
+    ('zoom_to_rect', 0xf002),
+    ('move', 0xf047),
+    ('filesave', 0xf0c7),
+    ('subplots', 0xf1de),
+    ('qt4_editor_options', 0xf201),
+    ('help', 0xf128),
+]
+
+
+def make_icons():
+    parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter)
+    parser.add_argument(
+        "-d", "--dest-dir",
+        type=Path,
+        default=Path(__file__).parent / "../lib/matplotlib/mpl-data/images",
+        help="Directory where to store the images.")
+    args = parser.parse_args()
+    font_path = get_fontawesome()
+    for name, ccode in icon_defs:
+        fig = make_icon(font_path, ccode)
+        save_icon(fig, args.dest_dir, name, True)
+    fig = make_matplotlib_icon()
+    save_icon(fig, args.dest_dir, 'matplotlib', False)
+
+
+if __name__ == "__main__":
+    make_icons()
diff --git a/tools/memleak.py b/tools/memleak.py
new file mode 100755
index 000000000000..a67c46d1a82e
--- /dev/null
+++ b/tools/memleak.py
@@ -0,0 +1,149 @@
+#!/usr/bin/env python
+
+import gc
+from io import BytesIO
+import tracemalloc
+
+try:
+    import psutil
+except ImportError as err:
+    raise ImportError("This script requires psutil") from err
+
+import numpy as np
+
+
+def run_memleak_test(bench, iterations, report):
+    tracemalloc.start()
+
+    starti = min(50, iterations // 2)
+    endi = iterations
+
+    malloc_arr = np.empty(endi, dtype=np.int64)
+    rss_arr = np.empty(endi, dtype=np.int64)
+    rss_peaks = np.empty(endi, dtype=np.int64)
+    nobjs_arr = np.empty(endi, dtype=np.int64)
+    garbage_arr = np.empty(endi, dtype=np.int64)
+    open_files_arr = np.empty(endi, dtype=np.int64)
+    rss_peak = 0
+
+    p = psutil.Process()
+
+    for i in range(endi):
+        bench()
+
+        gc.collect()
+
+        rss = p.memory_info().rss
+        malloc, peak = tracemalloc.get_traced_memory()
+        nobjs = len(gc.get_objects())
+        garbage = len(gc.garbage)
+        open_files = len(p.open_files())
+        print(f"{i: 4d}: pymalloc {malloc: 10d}, rss {rss: 10d}, "
+              f"nobjs {nobjs: 10d}, garbage {garbage: 4d}, "
+              f"files: {open_files: 4d}")
+        if i == starti:
+            print(f'{" warmup done ":-^86s}')
+        malloc_arr[i] = malloc
+        rss_arr[i] = rss
+        if rss > rss_peak:
+            rss_peak = rss
+        rss_peaks[i] = rss_peak
+        nobjs_arr[i] = nobjs
+        garbage_arr[i] = garbage
+        open_files_arr[i] = open_files
+
+    print('Average memory consumed per loop: {:1.4f} bytes\n'.format(
+        np.sum(rss_peaks[starti+1:] - rss_peaks[starti:-1]) / (endi - starti)))
+
+    from matplotlib import pyplot as plt
+    from matplotlib.ticker import EngFormatter
+    bytes_formatter = EngFormatter(unit='B')
+    fig, (ax1, ax2, ax3) = plt.subplots(3)
+    for ax in (ax1, ax2, ax3):
+        ax.axvline(starti, linestyle='--', color='k')
+    ax1b = ax1.twinx()
+    ax1b.yaxis.set_major_formatter(bytes_formatter)
+    ax1.plot(malloc_arr, 'C0')
+    ax1b.plot(rss_arr, 'C1', label='rss')
+    ax1b.plot(rss_peaks, 'C1', linestyle='--', label='rss max')
+    ax1.set_ylabel('pymalloc', color='C0')
+    ax1b.set_ylabel('rss', color='C1')
+    ax1b.legend()
+
+    ax2b = ax2.twinx()
+    ax2.plot(nobjs_arr, 'C0')
+    ax2b.plot(garbage_arr, 'C1')
+    ax2.set_ylabel('total objects', color='C0')
+    ax2b.set_ylabel('garbage objects', color='C1')
+
+    ax3.plot(open_files_arr)
+    ax3.set_ylabel('open file handles')
+
+    if not report.endswith('.pdf'):
+        report = report + '.pdf'
+    fig.tight_layout()
+    fig.savefig(report, format='pdf')
+
+
+class MemleakTest:
+    def __init__(self, empty):
+        self.empty = empty
+
+    def __call__(self):
+        import matplotlib.pyplot as plt
+
+        fig = plt.figure(1)
+
+        if not self.empty:
+            t1 = np.arange(0.0, 2.0, 0.01)
+            y1 = np.sin(2 * np.pi * t1)
+            y2 = np.random.rand(len(t1))
+            X = np.random.rand(50, 50)
+
+            ax = fig.add_subplot(221)
+            ax.plot(t1, y1, '-')
+            ax.plot(t1, y2, 's')
+
+            ax = fig.add_subplot(222)
+            ax.imshow(X)
+
+            ax = fig.add_subplot(223)
+            ax.scatter(np.random.rand(50), np.random.rand(50),
+                       s=100 * np.random.rand(50), c=np.random.rand(50))
+
+            ax = fig.add_subplot(224)
+            ax.pcolor(10 * np.random.rand(50, 50))
+
+        fig.savefig(BytesIO(), dpi=75)
+        fig.canvas.flush_events()
+        plt.close(1)
+
+
+if __name__ == '__main__':
+    import argparse
+
+    parser = argparse.ArgumentParser('Run memory leak tests')
+    parser.add_argument('backend', type=str, nargs=1,
+                        help='backend to test')
+    parser.add_argument('iterations', type=int, nargs=1,
+                        help='number of iterations')
+    parser.add_argument('report', type=str, nargs=1,
+                        help='filename to save report')
+    parser.add_argument('--empty', action='store_true',
+                        help="Don't plot any content, just test creating "
+                        "and destroying figures")
+    parser.add_argument('--interactive', action='store_true',
+                        help="Turn on interactive mode to actually open "
+                        "windows.  Only works with some GUI backends.")
+
+    args = parser.parse_args()
+
+    import matplotlib
+    matplotlib.use(args.backend[0])
+
+    if args.interactive:
+        import matplotlib.pyplot as plt
+        plt.ion()
+
+    run_memleak_test(
+        MemleakTest(args.empty), args.iterations[0], args.report[0])
diff --git a/tools/run_examples.py b/tools/run_examples.py
new file mode 100644
index 000000000000..e6542e9ddf23
--- /dev/null
+++ b/tools/run_examples.py
@@ -0,0 +1,93 @@
+"""
+Run and time some or all examples.
+"""
+
+from argparse import ArgumentParser
+from contextlib import ExitStack
+import os
+from pathlib import Path
+import subprocess
+import sys
+from tempfile import TemporaryDirectory
+import time
+import tokenize
+
+
+_preamble = """\
+from matplotlib import pyplot as plt
+
+def pseudo_show(block=True):
+    for num in plt.get_fignums():
+        plt.figure(num).savefig(f"{num}")
+
+plt.show = pseudo_show
+
+"""
+
+
+class RunInfo:
+    def __init__(self, backend, elapsed, failed):
+        self.backend = backend
+        self.elapsed = elapsed
+        self.failed = failed
+
+    def __str__(self):
+        s = ""
+        if self.backend:
+            s += f"{self.backend}: "
+        s += f"{self.elapsed}ms"
+        if self.failed:
+            s += " (failed!)"
+        return s
+
+
+def main():
+    parser = ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--backend", action="append",
+        help=("backend to test; can be passed multiple times; defaults to the "
+              "default backend"))
+    parser.add_argument(
+        "--include-sgskip", action="store_true",
+        help="do not filter out *_sgskip.py examples")
+    parser.add_argument(
+        "--rundir", type=Path,
+        help=("directory from where the tests are run; defaults to a "
+              "temporary directory"))
+    parser.add_argument(
+        "paths", nargs="*", type=Path,
+        help="examples to run; defaults to all examples (except *_sgskip.py)")
+    args = parser.parse_args()
+
+    root = Path(__file__).resolve().parent.parent / "examples"
+    paths = args.paths if args.paths else sorted(root.glob("**/*.py"))
+    if not args.include_sgskip:
+        paths = [path for path in paths if not path.stem.endswith("sgskip")]
+    relpaths = [path.resolve().relative_to(root) for path in paths]
+    width = max(len(str(relpath)) for relpath in relpaths)
+    for relpath in relpaths:
+        print(str(relpath).ljust(width + 1), end="", flush=True)
+        runinfos = []
+        with ExitStack() as stack:
+            if args.rundir:
+                cwd = args.rundir / relpath.with_suffix("")
+                cwd.mkdir(parents=True)
+            else:
+                cwd = stack.enter_context(TemporaryDirectory())
+            with tokenize.open(root / relpath) as src:
+                Path(cwd, relpath.name).write_text(
+                    _preamble + src.read(), encoding="utf-8")
+            for backend in args.backend or [None]:
+                env = {**os.environ}
+                if backend is not None:
+                    env["MPLBACKEND"] = backend
+                start = time.perf_counter()
+                proc = subprocess.run([sys.executable, relpath.name],
+                                      cwd=cwd, env=env)
+                elapsed = round(1000 * (time.perf_counter() - start))
+                runinfos.append(RunInfo(backend, elapsed, proc.returncode))
+        print("\t".join(map(str, runinfos)))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tools/stubtest.py b/tools/stubtest.py
new file mode 100644
index 000000000000..b79ab2f40dd0
--- /dev/null
+++ b/tools/stubtest.py
@@ -0,0 +1,123 @@
+import ast
+import os
+import pathlib
+import re
+import subprocess
+import sys
+import tempfile
+
+root = pathlib.Path(__file__).parent.parent
+
+lib = root / "lib"
+mpl = lib / "matplotlib"
+
+
+class Visitor(ast.NodeVisitor):
+    def __init__(self, filepath, output, existing_allowed):
+        self.filepath = filepath
+        self.context = list(filepath.with_suffix("").relative_to(lib).parts)
+        self.output = output
+        self.existing_allowed = existing_allowed
+
+    def _is_already_allowed(self, parts):
+        # Skip outputting a path if it's already allowed before.
+        candidates = ['.'.join(parts[:s]) for s in range(1, len(parts))]
+        for allow in self.existing_allowed:
+            if any(allow.fullmatch(path) for path in candidates):
+                return True
+        return False
+
+    def visit_FunctionDef(self, node):
+        # delete_parameter adds a private sentinel value that leaks
+        # we do not want that sentinel value in the type hints but it breaks typing
+        # Does not apply to variadic arguments (args/kwargs)
+        for dec in node.decorator_list:
+            if "delete_parameter" in ast.unparse(dec):
+                deprecated_arg = dec.args[1].value
+                if (
+                    node.args.vararg is not None
+                    and node.args.vararg.arg == deprecated_arg
+                ):
+                    continue
+                if (
+                    node.args.kwarg is not None
+                    and node.args.kwarg.arg == deprecated_arg
+                ):
+                    continue
+
+                parents = []
+                if hasattr(node, "parent"):
+                    parent = node.parent
+                    while hasattr(parent, "parent") and not isinstance(
+                        parent, ast.Module
+                    ):
+                        parents.insert(0, parent.name)
+                        parent = parent.parent
+                parts = [*self.context, *parents, node.name]
+                if not self._is_already_allowed(parts):
+                    self.output.write("\\.".join(parts) + "\n")
+                break
+
+    def visit_ClassDef(self, node):
+        for dec in node.decorator_list:
+            if "define_aliases" in ast.unparse(dec):
+                parents = []
+                if hasattr(node, "parent"):
+                    parent = node.parent
+                    while hasattr(parent, "parent") and not isinstance(
+                        parent, ast.Module
+                    ):
+                        parents.insert(0, parent.name)
+                        parent = parent.parent
+                aliases = ast.literal_eval(dec.args[0])
+                # Written as a regex rather than two lines to avoid unused entries
+                # for setters on items with only a getter
+                for substitutions in aliases.values():
+                    parts = self.context + parents + [node.name]
+                    for a in substitutions:
+                        if not (self._is_already_allowed([*parts, f"get_{a}"]) and
+                                self._is_already_allowed([*parts, f"set_{a}"])):
+                            self.output.write("\\.".join([*parts, f"[gs]et_{a}\n"]))
+        for child in ast.iter_child_nodes(node):
+            self.visit(child)
+
+
+existing_allowed = []
+with (root / 'ci/mypy-stubtest-allowlist.txt').open() as f:
+    for line in f:
+        line, _, _ = line.partition('#')
+        line = line.strip()
+        if line:
+            existing_allowed.append(re.compile(line))
+
+
+with tempfile.TemporaryDirectory() as d:
+    p = pathlib.Path(d) / "allowlist.txt"
+    with p.open("wt") as f:
+        for path in mpl.glob("**/*.py"):
+            v = Visitor(path, f, existing_allowed)
+            tree = ast.parse(path.read_text())
+
+            # Assign parents to tree so they can be backtraced
+            for node in ast.walk(tree):
+                for child in ast.iter_child_nodes(node):
+                    child.parent = node
+
+            v.visit(tree)
+    proc = subprocess.run(
+        [
+            "stubtest",
+            "--mypy-config-file=pyproject.toml",
+            "--allowlist=ci/mypy-stubtest-allowlist.txt",
+            f"--allowlist={p}",
+            "matplotlib",
+        ],
+        cwd=root,
+        env=os.environ | {"MPLBACKEND": "agg"},
+    )
+    try:
+        os.unlink(f.name)
+    except OSError:
+        pass
+
+sys.exit(proc.returncode)
diff --git a/tools/subset.py b/tools/subset.py
new file mode 100644
index 000000000000..9fdf3789b0df
--- /dev/null
+++ b/tools/subset.py
@@ -0,0 +1,406 @@
+#!/usr/bin/env python
+#
+# Copyright 2010-2012, Google Inc.
+# Author: Mikhail Kashkin (mkashkin@gmail.com)
+# Author: Raph Levien (<firstname.lastname>@gmail.com)
+# Author: Dave Crossland (dave@understandinglimited.com)
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       https://www.apache.org/licenses/LICENSE-2.0.txt
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+#
+# Version 1.01 Released 2012-03-27
+#
+# A script for subsetting a font, using FontForge. See README for details.
+
+# TODO 2013-04-08 ensure the menu files are as compact as possible by default,
+# similar to subset.pl
+# TODO 2013-05-22 in Arimo, the latin subset doesn't include ; but the greek
+# does. why on earth is this happening?
+
+import getopt
+import os
+import struct
+import subprocess
+import sys
+
+import fontforge
+
+
+def log_namelist(name, unicode):
+    if name and isinstance(unicode, int):
+        print(f"0x{unicode:04X}", fontforge.nameeFromUnicode(unicode),
+              file=name)
+
+
+def select_with_refs(font, unicode, newfont, pe=None, name=None):
+    newfont.selection.select(('more', 'unicode'), unicode)
+    log_namelist(name, unicode)
+    if pe:
+        print(f"SelectMore({unicode})", file=pe)
+    try:
+        for ref in font[unicode].references:
+            newfont.selection.select(('more',), ref[0])
+            log_namelist(name, ref[0])
+            if pe:
+                print(f'SelectMore("{ref[0]}")', file=pe)
+    except Exception:
+        print(f'Resolving references on u+{unicode:04x} failed')
+
+
+def subset_font_raw(font_in, font_out, unicodes, opts):
+    if '--namelist' in opts:
+        # 2010-12-06 DC To allow setting namelist filenames,
+        # change getopt.gnu_getopt from namelist to namelist=
+        # and invert comments on following 2 lines
+        # name_fn = opts['--namelist']
+        name_fn = f'{font_out}.name'
+        name = open(name_fn, 'w')
+    else:
+        name = None
+    if '--script' in opts:
+        pe_fn = "/tmp/script.pe"
+        pe = open(pe_fn, 'w')
+    else:
+        pe = None
+    font = fontforge.open(font_in)
+    if pe:
+        print(f'Open("{font_in}")', file=pe)
+        extract_vert_to_script(font_in, pe)
+    for i in unicodes:
+        select_with_refs(font, i, font, pe, name)
+
+    addl_glyphs = []
+    if '--nmr' in opts:
+        addl_glyphs.append('nonmarkingreturn')
+    if '--null' in opts:
+        addl_glyphs.append('.null')
+    if '--nd' in opts:
+        addl_glyphs.append('.notdef')
+    for glyph in addl_glyphs:
+        font.selection.select(('more',), glyph)
+        if name:
+            print(f"0x{fontforge.unicodeFromName(glyph):0.4X}", glyph,
+                  file=name)
+        if pe:
+            print(f'SelectMore("{glyph}")', file=pe)
+
+    flags = ()
+
+    if '--opentype-features' in opts:
+        flags += ('opentype',)
+
+    if '--simplify' in opts:
+        font.simplify()
+        font.round()
+        flags += ('omit-instructions',)
+
+    if '--strip_names' in opts:
+        font.sfnt_names = ()
+
+    if '--new' in opts:
+        font.copy()
+        new = fontforge.font()
+        new.encoding = font.encoding
+        new.em = font.em
+        new.layers['Fore'].is_quadratic = font.layers['Fore'].is_quadratic
+        for i in unicodes:
+            select_with_refs(font, i, new, pe, name)
+        new.paste()
+        # This is a hack - it should have been taken care of above.
+        font.selection.select('space')
+        font.copy()
+        new.selection.select('space')
+        new.paste()
+        new.sfnt_names = font.sfnt_names
+        font = new
+    else:
+        font.selection.invert()
+        print("SelectInvert()", file=pe)
+        font.cut()
+        print("Clear()", file=pe)
+
+    if '--move-display' in opts:
+        print("Moving display glyphs into Unicode ranges...")
+        font.familyname += " Display"
+        font.fullname += " Display"
+        font.fontname += "Display"
+        font.appendSFNTName('English (US)', 'Family', font.familyname)
+        font.appendSFNTName('English (US)', 16, font.familyname)
+        font.appendSFNTName('English (US)', 17, 'Display')
+        font.appendSFNTName('English (US)', 'Fullname', font.fullname)
+        for glname in unicodes:
+            font.selection.none()
+            if isinstance(glname, str):
+                if glname.endswith('.display'):
+                    font.selection.select(glname)
+                    font.copy()
+                    font.selection.none()
+                    newgl = glname.replace('.display', '')
+                    font.selection.select(newgl)
+                    font.paste()
+                font.selection.select(glname)
+                font.cut()
+
+    if name:
+        print("Writing NameList", end="")
+        name.close()
+
+    if pe:
+        print(f'Generate("{font_out}")', file=pe)
+        pe.close()
+        subprocess.call(["fontforge", "-script", pe_fn])
+    else:
+        font.generate(font_out, flags=flags)
+    font.close()
+
+    if '--roundtrip' in opts:
+        # FontForge apparently contains a bug where it incorrectly calculates
+        # the advanceWidthMax in the hhea table, and a workaround is to open
+        # and re-generate
+        font2 = fontforge.open(font_out)
+        font2.generate(font_out, flags=flags)
+
+
+def subset_font(font_in, font_out, unicodes, opts):
+    font_out_raw = font_out
+    if not font_out_raw.endswith('.ttf'):
+        font_out_raw += '.ttf'
+    subset_font_raw(font_in, font_out_raw, unicodes, opts)
+    if font_out != font_out_raw:
+        os.rename(font_out_raw, font_out)
+# 2011-02-14 DC this needs to only happen with --namelist is used
+#        os.rename(font_out_raw + '.name', font_out + '.name')
+
+
+def getsubset(subset, font_in):
+    subsets = subset.split('+')
+    quotes = [
+        0x2013,  # endash
+        0x2014,  # emdash
+        0x2018,  # quoteleft
+        0x2019,  # quoteright
+        0x201A,  # quotesinglbase
+        0x201C,  # quotedblleft
+        0x201D,  # quotedblright
+        0x201E,  # quotedblbase
+        0x2022,  # bullet
+        0x2039,  # guilsinglleft
+        0x203A,  # guilsinglright
+    ]
+
+    latin = [
+        *range(0x20, 0x7f),  # Basic Latin (A-Z, a-z, numbers)
+        *range(0xa0, 0x100),  # Western European symbols and diacritics
+        0x20ac,  # Euro
+        0x0152,  # OE
+        0x0153,  # oe
+        0x003b,  # semicolon
+        0x00b7,  # periodcentered
+        0x0131,  # dotlessi
+        0x02c6,  # circumflex
+        0x02da,  # ring
+        0x02dc,  # tilde
+        0x2074,  # foursuperior
+        0x2215,  # division slash
+        0x2044,  # fraction slash
+        0xe0ff,  # PUA: Font logo
+        0xeffd,  # PUA: Font version number
+        0xf000,  # PUA: font ppem size indicator: run
+                 # `ftview -f 1255 10 Ubuntu-Regular.ttf` to see it in action!
+    ]
+
+    result = quotes
+
+    if 'menu' in subsets:
+        font = fontforge.open(font_in)
+        result = [
+            *map(ord, font.familyname),
+            0x0020,
+        ]
+
+    if 'latin' in subsets:
+        result += latin
+    if 'latin-ext' in subsets:
+        # These ranges include Extended A, B, C, D, and Additional with the
+        # exception of Vietnamese, which is a separate range
+        result += [
+            *range(0x100, 0x370),
+            *range(0x1d00, 0x1ea0),
+            *range(0x1ef2, 0x1f00),
+            *range(0x2070, 0x20d0),
+            *range(0x2c60, 0x2c80),
+            *range(0xa700, 0xa800),
+        ]
+    if 'vietnamese' in subsets:
+        # 2011-07-16 DC: Charset from
+        # http://vietunicode.sourceforge.net/charset/ + U+1ef9 from Fontaine
+        result += [0x00c0, 0x00c1, 0x00c2, 0x00c3, 0x00C8, 0x00C9,
+                   0x00CA, 0x00CC, 0x00CD, 0x00D2, 0x00D3, 0x00D4,
+                   0x00D5, 0x00D9, 0x00DA, 0x00DD, 0x00E0, 0x00E1,
+                   0x00E2, 0x00E3, 0x00E8, 0x00E9, 0x00EA, 0x00EC,
+                   0x00ED, 0x00F2, 0x00F3, 0x00F4, 0x00F5, 0x00F9,
+                   0x00FA, 0x00FD, 0x0102, 0x0103, 0x0110, 0x0111,
+                   0x0128, 0x0129, 0x0168, 0x0169, 0x01A0, 0x01A1,
+                   0x01AF, 0x01B0, 0x20AB, *range(0x1EA0, 0x1EFA)]
+    if 'greek' in subsets:
+        # Could probably be more aggressive here and exclude archaic
+        # characters, but lack data
+        result += [*range(0x370, 0x400)]
+    if 'greek-ext' in subsets:
+        result += [*range(0x370, 0x400), *range(0x1f00, 0x2000)]
+    if 'cyrillic' in subsets:
+        # Based on character frequency analysis
+        result += [*range(0x400, 0x460), 0x490, 0x491, 0x4b0, 0x4b1, 0x2116]
+    if 'cyrillic-ext' in subsets:
+        result += [
+            *range(0x400, 0x530),
+            0x20b4,
+            # 0x2116 is the russian No, a number abbreviation similar to the
+            # latin #, suggested by Alexei Vanyashin
+            0x2116,
+            *range(0x2de0, 0x2e00),
+            *range(0xa640, 0xa6a0),
+        ]
+    if 'arabic' in subsets:
+        # Based on Droid Arabic Kufi 1.0
+        result += [0x000D, 0x0020, 0x0621, 0x0627, 0x062D,
+                   0x062F, 0x0631, 0x0633, 0x0635, 0x0637, 0x0639,
+                   0x0643, 0x0644, 0x0645, 0x0647, 0x0648, 0x0649,
+                   0x0640, 0x066E, 0x066F, 0x0660, 0x0661, 0x0662,
+                   0x0663, 0x0664, 0x0665, 0x0666, 0x0667, 0x0668,
+                   0x0669, 0x06F4, 0x06F5, 0x06F6, 0x06BE, 0x06D2,
+                   0x06A9, 0x06AF, 0x06BA, 0x066A, 0x061F, 0x060C,
+                   0x061B, 0x066B, 0x066C, 0x066D, 0x064B, 0x064D,
+                   0x064E, 0x064F, 0x064C, 0x0650, 0x0651, 0x0652,
+                   0x0653, 0x0654, 0x0655, 0x0670, 0x0656, 0x0615,
+                   0x0686, 0x0623, 0x0625, 0x0622, 0x0671, 0x0628,
+                   0x067E, 0x062A, 0x062B, 0x0679, 0x0629, 0x062C,
+                   0x062E, 0x0630, 0x0688, 0x0632, 0x0691, 0x0698,
+                   0x0634, 0x0636, 0x0638, 0x063A, 0x0641, 0x0642,
+                   0x0646, 0x06D5, 0x06C0, 0x0624, 0x064A, 0x06CC,
+                   0x06D3, 0x0626, 0x06C2, 0x06C1, 0x06C3, 0x06F0,
+                   0x06F1, 0x06F2, 0x06F3, 0x06F9, 0x06F7, 0x06F8,
+                   0xFC63, 0x0672, 0x0673, 0x0675, 0x0676, 0x0677,
+                   0x0678, 0x067A, 0x067B, 0x067C, 0x067D, 0x067F,
+                   0x0680, 0x0681, 0x0682, 0x0683, 0x0684, 0x0685,
+                   0x0687, 0x0689, 0x068A, 0x068B, 0x068C, 0x068D,
+                   0x068E, 0x068F, 0x0690, 0x0692, 0x0693, 0x0694,
+                   0x0695, 0x0696, 0x0697, 0x0699, 0x069A, 0x069B,
+                   0x069C, 0x069D, 0x069E, 0x069F, 0x06A0, 0x06A1,
+                   0x06A2, 0x06A3, 0x06A5, 0x06A6, 0x06A7, 0x06A8,
+                   0x06AA, 0x06AB, 0x06AC, 0x06AD, 0x06AE, 0x06B0,
+                   0x06B1, 0x06B2, 0x06B3, 0x06B4, 0x06B5, 0x06B6,
+                   0x06B7, 0x06B8, 0x06B9, 0x06BB, 0x06BC, 0x06BD,
+                   0x06BF, 0x06C4, 0x06C5, 0x06CD, 0x06D6, 0x06D7,
+                   0x06D8, 0x06D9, 0x06DA, 0x06DB, 0x06DC, 0x06DF,
+                   0x06E1, 0x06E2, 0x06E3, 0x06E4, 0x06E5, 0x06E6,
+                   0x06E7, 0x06E8, 0x06EA, 0x06EB, 0x06ED, 0x06FB,
+                   0x06FC, 0x06FD, 0x06FE, 0x0600, 0x0601, 0x0602,
+                   0x0603, 0x060E, 0x060F, 0x0610, 0x0611, 0x0612,
+                   0x0613, 0x0614, 0x0657, 0x0658, 0x06EE, 0x06EF,
+                   0x06FF, 0x060B, 0x061E, 0x0659, 0x065A, 0x065B,
+                   0x065C, 0x065D, 0x065E, 0x0750, 0x0751, 0x0752,
+                   0x0753, 0x0754, 0x0755, 0x0756, 0x0757, 0x0758,
+                   0x0759, 0x075A, 0x075B, 0x075C, 0x075D, 0x075E,
+                   0x075F, 0x0760, 0x0761, 0x0762, 0x0763, 0x0764,
+                   0x0765, 0x0766, 0x0767, 0x0768, 0x0769, 0x076A,
+                   0x076B, 0x076C, 0x076D, 0x06A4, 0x06C6, 0x06C7,
+                   0x06C8, 0x06C9, 0x06CA, 0x06CB, 0x06CF, 0x06CE,
+                   0x06D0, 0x06D1, 0x06D4, 0x06FA, 0x06DD, 0x06DE,
+                   0x06E0, 0x06E9, 0x060D, 0xFD3E, 0xFD3F, 0x25CC,
+                   # Added from
+                   # https://groups.google.com/d/topic/googlefontdirectory-discuss/MwlMWMPNCXs/discussion
+                   0x063b, 0x063c, 0x063d, 0x063e, 0x063f, 0x0620,
+                   0x0674, 0x0674, 0x06EC]
+
+    if 'dejavu-ext' in subsets:
+        # add all glyphnames ending in .display
+        font = fontforge.open(font_in)
+        for glyph in font.glyphs():
+            if glyph.glyphname.endswith('.display'):
+                result.append(glyph.glyphname)
+
+    return result
+
+
+# code for extracting vertical metrics from a TrueType font
+class Sfnt:
+    def __init__(self, data):
+        _, numTables, _, _, _ = struct.unpack('>IHHHH', data[:12])
+        self.tables = {}
+        for i in range(numTables):
+            tag, _, offset, length = struct.unpack(
+                '>4sIII', data[12 + 16 * i: 28 + 16 * i])
+            self.tables[tag] = data[offset: offset + length]
+
+    def hhea(self):
+        r = {}
+        d = self.tables['hhea']
+        r['Ascender'], r['Descender'], r['LineGap'] = struct.unpack(
+            '>hhh', d[4:10])
+        return r
+
+    def os2(self):
+        r = {}
+        d = self.tables['OS/2']
+        r['fsSelection'], = struct.unpack('>H', d[62:64])
+        r['sTypoAscender'], r['sTypoDescender'], r['sTypoLineGap'] = \
+            struct.unpack('>hhh', d[68:74])
+        r['usWinAscender'], r['usWinDescender'] = struct.unpack(
+            '>HH', d[74:78])
+        return r
+
+
+def set_os2(pe, name, val):
+    print(f'SetOS2Value("{name}", {val:d})', file=pe)
+
+
+def set_os2_vert(pe, name, val):
+    set_os2(pe, name + 'IsOffset', 0)
+    set_os2(pe, name, val)
+
+
+# Extract vertical metrics data directly out of font file, and emit
+# script code to set the values in the generated font. This is a (rather
+# ugly) workaround for the issue described in:
+# https://sourceforge.net/p/fontforge/mailman/fontforge-users/thread/20100906085718.GB1907@khaled-laptop/
+def extract_vert_to_script(font_in, pe):
+    with open(font_in, 'rb') as in_file:
+        data = in_file.read()
+    sfnt = Sfnt(data)
+    hhea = sfnt.hhea()
+    os2 = sfnt.os2()
+    set_os2_vert(pe, "WinAscent", os2['usWinAscender'])
+    set_os2_vert(pe, "WinDescent", os2['usWinDescender'])
+    set_os2_vert(pe, "TypoAscent", os2['sTypoAscender'])
+    set_os2_vert(pe, "TypoDescent", os2['sTypoDescender'])
+    set_os2_vert(pe, "HHeadAscent", hhea['Ascender'])
+    set_os2_vert(pe, "HHeadDescent", hhea['Descender'])
+
+
+def main(argv):
+    optlist, args = getopt.gnu_getopt(argv, '', [
+        'string=', 'strip_names', 'opentype-features', 'simplify', 'new',
+        'script', 'nmr', 'roundtrip', 'subset=', 'namelist', 'null', 'nd',
+        'move-display'])
+
+    font_in, font_out = args
+    opts = dict(optlist)
+    if '--string' in opts:
+        subset = map(ord, opts['--string'])
+    else:
+        subset = getsubset(opts.get('--subset', 'latin'), font_in)
+    subset_font(font_in, font_out, subset, opts)
+
+
+if __name__ == '__main__':
+    main(sys.argv[1:])
diff --git a/tools/triage_tests.py b/tools/triage_tests.py
new file mode 100644
index 000000000000..5153b1c712cb
--- /dev/null
+++ b/tools/triage_tests.py
@@ -0,0 +1,377 @@
+"""
+This is a developer utility to help analyze and triage image
+comparison failures.
+
+It allows the failures to be quickly compared against the expected
+results, and the new results to be either accepted (by copying the new
+results to the source tree) or rejected (by copying the original
+expected result to the source tree).
+
+To start:
+
+    If you ran the tests from the top-level of a source checkout, simply run:
+
+        python tools/triage_tests.py
+
+    Otherwise, you can manually select the location of `result_images`
+    on the commandline.
+
+Keys:
+
+    left/right: Move between test, expected and diff images
+    up/down:    Move between tests
+    A:          Accept test.  Copy the test result to the source tree.
+    R:          Reject test.  Copy the expected result to the source tree.
+"""
+
+import os
+from pathlib import Path
+import shutil
+import sys
+
+from matplotlib.backends.qt_compat import QtCore, QtGui, QtWidgets
+from matplotlib.backends.qt_compat import _exec
+
+
+# matplotlib stores the baseline images under two separate subtrees,
+# but these are all flattened in the result_images directory.  In
+# order to find the source, we need to search for a match in one of
+# these two places.
+
+BASELINE_IMAGES = [
+    Path('lib/matplotlib/tests/baseline_images'),
+    *Path('lib/mpl_toolkits').glob('*/tests/baseline_images'),
+]
+
+
+# Non-png image extensions
+
+exts = ['pdf', 'svg', 'eps']
+
+
+class Thumbnail(QtWidgets.QFrame):
+    """
+    Represents one of the three thumbnails at the top of the window.
+    """
+    def __init__(self, parent, index, name):
+        super().__init__()
+
+        self.parent = parent
+        self.index = index
+
+        layout = QtWidgets.QVBoxLayout()
+
+        label = QtWidgets.QLabel(name)
+        label.setAlignment(QtCore.Qt.AlignmentFlag.AlignHCenter |
+                           QtCore.Qt.AlignmentFlag.AlignVCenter)
+        layout.addWidget(label, 0)
+
+        self.image = QtWidgets.QLabel()
+        self.image.setAlignment(QtCore.Qt.AlignmentFlag.AlignHCenter |
+                                QtCore.Qt.AlignmentFlag.AlignVCenter)
+        self.image.setMinimumSize(800 // 3, 600 // 3)
+        layout.addWidget(self.image)
+        self.setLayout(layout)
+
+    def mousePressEvent(self, event):
+        self.parent.set_large_image(self.index)
+
+
+class EventFilter(QtCore.QObject):
+    # A hack keypresses can be handled globally and aren't swallowed
+    # by the individual widgets
+
+    def __init__(self, window):
+        super().__init__()
+        self.window = window
+
+    def eventFilter(self, receiver, event):
+        if event.type() == QtCore.QEvent.Type.KeyPress:
+            self.window.keyPressEvent(event)
+            return True
+        else:
+            return super().eventFilter(receiver, event)
+
+
+class Dialog(QtWidgets.QDialog):
+    """
+    The main dialog window.
+    """
+    def __init__(self, entries):
+        super().__init__()
+
+        self.entries = entries
+        self.current_entry = -1
+        self.current_thumbnail = -1
+
+        event_filter = EventFilter(self)
+        self.installEventFilter(event_filter)
+
+        # The list of files on the left-hand side.
+        self.filelist = QtWidgets.QListWidget()
+        self.filelist.setMinimumWidth(400)
+        for entry in entries:
+            self.filelist.addItem(entry.display)
+        self.filelist.currentRowChanged.connect(self.set_entry)
+
+        thumbnails_box = QtWidgets.QWidget()
+        thumbnails_layout = QtWidgets.QVBoxLayout()
+        self.thumbnails = []
+        for i, name in enumerate(('test', 'expected', 'diff')):
+            thumbnail = Thumbnail(self, i, name)
+            thumbnails_layout.addWidget(thumbnail)
+            self.thumbnails.append(thumbnail)
+        thumbnails_box.setLayout(thumbnails_layout)
+
+        images_layout = QtWidgets.QVBoxLayout()
+        images_box = QtWidgets.QWidget()
+        self.image_display = QtWidgets.QLabel()
+        self.image_display.setAlignment(
+            QtCore.Qt.AlignmentFlag.AlignHCenter |
+            QtCore.Qt.AlignmentFlag.AlignVCenter)
+        self.image_display.setMinimumSize(800, 600)
+        images_layout.addWidget(self.image_display, 6)
+        images_box.setLayout(images_layout)
+
+        buttons_box = QtWidgets.QWidget()
+        buttons_layout = QtWidgets.QHBoxLayout()
+        accept_button = QtWidgets.QPushButton("Accept (A)")
+        accept_button.clicked.connect(self.accept_test)
+        buttons_layout.addWidget(accept_button)
+        reject_button = QtWidgets.QPushButton("Reject (R)")
+        reject_button.clicked.connect(self.reject_test)
+        buttons_layout.addWidget(reject_button)
+        buttons_box.setLayout(buttons_layout)
+        images_layout.addWidget(buttons_box)
+
+        main_layout = QtWidgets.QHBoxLayout()
+        main_layout.addWidget(self.filelist, 1)
+        main_layout.addWidget(thumbnails_box, 1)
+        main_layout.addWidget(images_box, 3)
+
+        self.setLayout(main_layout)
+
+        self.setWindowTitle("matplotlib test triager")
+
+        self.set_entry(0)
+
+    def set_entry(self, index):
+        if self.current_entry == index:
+            return
+
+        self.current_entry = index
+        entry = self.entries[index]
+
+        self.pixmaps = []
+        for fname, thumbnail in zip(entry.thumbnails, self.thumbnails):
+            pixmap = QtGui.QPixmap(os.fspath(fname))
+            scaled_pixmap = pixmap.scaled(
+                thumbnail.size(),
+                QtCore.Qt.AspectRatioMode.KeepAspectRatio,
+                QtCore.Qt.TransformationMode.SmoothTransformation)
+            thumbnail.image.setPixmap(scaled_pixmap)
+            self.pixmaps.append(scaled_pixmap)
+
+        self.set_large_image(0)
+        self.filelist.setCurrentRow(self.current_entry)
+
+    def set_large_image(self, index):
+        self.thumbnails[self.current_thumbnail].setFrameShape(
+            QtWidgets.QFrame.Shape.NoFrame)
+        self.current_thumbnail = index
+        pixmap = QtGui.QPixmap(os.fspath(
+            self.entries[self.current_entry]
+            .thumbnails[self.current_thumbnail]))
+        self.image_display.setPixmap(pixmap)
+        self.thumbnails[self.current_thumbnail].setFrameShape(
+            QtWidgets.QFrame.Shape.Box)
+
+    def accept_test(self):
+        entry = self.entries[self.current_entry]
+        if entry.status == 'autogen':
+            print('Cannot accept autogenerated test cases.')
+            return
+        entry.accept()
+        self.filelist.currentItem().setText(
+            self.entries[self.current_entry].display)
+        # Auto-move to the next entry
+        self.set_entry(min((self.current_entry + 1), len(self.entries) - 1))
+
+    def reject_test(self):
+        entry = self.entries[self.current_entry]
+        if entry.status == 'autogen':
+            print('Cannot reject autogenerated test cases.')
+            return
+        entry.reject()
+        self.filelist.currentItem().setText(
+            self.entries[self.current_entry].display)
+        # Auto-move to the next entry
+        self.set_entry(min((self.current_entry + 1), len(self.entries) - 1))
+
+    def keyPressEvent(self, e):
+        if e.key() == QtCore.Qt.Key.Key_Left:
+            self.set_large_image((self.current_thumbnail - 1) % 3)
+        elif e.key() == QtCore.Qt.Key.Key_Right:
+            self.set_large_image((self.current_thumbnail + 1) % 3)
+        elif e.key() == QtCore.Qt.Key.Key_Up:
+            self.set_entry(max(self.current_entry - 1, 0))
+        elif e.key() == QtCore.Qt.Key.Key_Down:
+            self.set_entry(min(self.current_entry + 1, len(self.entries) - 1))
+        elif e.key() == QtCore.Qt.Key.Key_A:
+            self.accept_test()
+        elif e.key() == QtCore.Qt.Key.Key_R:
+            self.reject_test()
+        else:
+            super().keyPressEvent(e)
+
+
+class Entry:
+    """
+    A model for a single image comparison test.
+    """
+    def __init__(self, path, root, source):
+        self.source = source
+        self.root = root
+        self.dir = path.parent
+        self.diff = path.name
+        self.reldir = self.dir.relative_to(self.root)
+
+        basename = self.diff[:-len('-failed-diff.png')]
+        for ext in exts:
+            if basename.endswith(f'_{ext}'):
+                display_extension = f'_{ext}'
+                extension = ext
+                basename = basename[:-len(display_extension)]
+                break
+        else:
+            display_extension = ''
+            extension = 'png'
+
+        self.basename = basename
+        self.extension = extension
+        self.generated = f'{basename}.{extension}'
+        self.expected = f'{basename}-expected.{extension}'
+        self.expected_display = f'{basename}-expected{display_extension}.png'
+        self.generated_display = f'{basename}{display_extension}.png'
+        self.name = self.reldir / self.basename
+        self.destdir = self.get_dest_dir(self.reldir)
+
+        self.thumbnails = [
+            self.generated_display,
+            self.expected_display,
+            self.diff
+            ]
+        self.thumbnails = [self.dir / x for x in self.thumbnails]
+
+        if not Path(self.destdir, self.generated).exists():
+            # This case arises from a check_figures_equal test.
+            self.status = 'autogen'
+        elif ((self.dir / self.generated).read_bytes()
+              == (self.destdir / self.generated).read_bytes()):
+            self.status = 'accept'
+        else:
+            self.status = 'unknown'
+
+    def get_dest_dir(self, reldir):
+        """
+        Find the source tree directory corresponding to the given
+        result_images subdirectory.
+        """
+        for baseline_dir in BASELINE_IMAGES:
+            path = self.source / baseline_dir / reldir
+            if path.is_dir():
+                return path
+        raise ValueError(f"Can't find baseline dir for {reldir}")
+
+    @property
+    def display(self):
+        """
+        Get the display string for this entry.  This is the text that
+        appears in the list widget.
+        """
+        status_map = {
+            'unknown': '\N{BALLOT BOX}',
+            'accept':  '\N{BALLOT BOX WITH CHECK}',
+            'reject':  '\N{BALLOT BOX WITH X}',
+            'autogen': '\N{WHITE SQUARE CONTAINING BLACK SMALL SQUARE}',
+        }
+        box = status_map[self.status]
+        return f'{box} {self.name} [{self.extension}]'
+
+    def accept(self):
+        """
+        Accept this test by copying the generated result to the source tree.
+        """
+        copy_file(self.dir / self.generated, self.destdir / self.generated)
+        self.status = 'accept'
+
+    def reject(self):
+        """
+        Reject this test by copying the expected result to the source tree.
+        """
+        expected = self.dir / self.expected
+        if not expected.is_symlink():
+            copy_file(expected, self.destdir / self.generated)
+        self.status = 'reject'
+
+
+def copy_file(a, b):
+    """Copy file from *a* to *b*."""
+    print(f'copying: {a} to {b}')
+    shutil.copyfile(a, b)
+
+
+def find_failing_tests(result_images, source):
+    """
+    Find all of the failing tests by looking for files with
+    `-failed-diff` at the end of the basename.
+    """
+    return [Entry(path, result_images, source)
+            for path in sorted(Path(result_images).glob("**/*-failed-diff.*"))]
+
+
+def launch(result_images, source):
+    """
+    Launch the GUI.
+    """
+    entries = find_failing_tests(result_images, source)
+
+    if len(entries) == 0:
+        print("No failed tests")
+        sys.exit(0)
+
+    app = QtWidgets.QApplication(sys.argv)
+    dialog = Dialog(entries)
+    dialog.show()
+    filter = EventFilter(dialog)
+    app.installEventFilter(filter)
+    sys.exit(_exec(app))
+
+
+if __name__ == '__main__':
+    import argparse
+
+    source_dir = Path(__file__).parent.parent
+
+    parser = argparse.ArgumentParser(
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        description="""
+Triage image comparison test failures.
+
+If no arguments are provided, it assumes you ran the tests at the
+top-level of a source checkout as `pytest .`.
+
+Keys:
+    left/right: Move between test, expected and diff images
+    up/down:    Move between tests
+    A:          Accept test.  Copy the test result to the source tree.
+    R:          Reject test.  Copy the expected result to the source tree.
+""")
+    parser.add_argument("result_images", type=Path, nargs='?',
+                        default=source_dir / 'result_images',
+                        help="The location of the result_images directory")
+    parser.add_argument("source", type=Path, nargs='?', default=source_dir,
+                        help="The location of the matplotlib source tree")
+    args = parser.parse_args()
+
+    launch(args.result_images, args.source)
diff --git a/tools/visualize_tests.py b/tools/visualize_tests.py
new file mode 100644
index 000000000000..9cff44cd72d1
--- /dev/null
+++ b/tools/visualize_tests.py
@@ -0,0 +1,160 @@
+#!/usr/bin/env python
+#
+# This builds a html page of all images from the image comparison tests
+# and opens that page in the browser.
+#
+#   $ python tools/visualize_tests.py
+#
+
+import argparse
+import os
+from collections import defaultdict
+
+# Non-png image extensions
+NON_PNG_EXTENSIONS = ['pdf', 'svg', 'eps']
+
+html_template = """<!DOCTYPE html>
+<html lang="en"><head>
+<meta charset="utf-8">
+<title>Matplotlib test result visualization</title>
+<style media="screen">
+img{{
+  width:100%;
+  max-width:800px;
+}}
+</style>
+</head><body>
+{failed}
+{body}
+</body></html>
+"""
+
+subdir_template = """<h2>{subdir}</h2><table>
+<thead><tr><th>name</th><th>actual</th><th>expected</th><th>diff</th></tr></thead>
+<tbody>
+{rows}
+</tbody>
+</table>
+"""
+
+failed_template = """<h2>Only Failed</h2><table>
+<thead><tr><th>name</th><th>actual</th><th>expected</th><th>diff</th></tr></thead>
+<tbody>
+{rows}
+</tbody>
+</table>
+"""
+
+row_template = ('<tr>'
+                '<td>{0}{1}</td>'
+                '<td>{2}</td>'
+                '<td><a href="{3}"><img src="{3}"></a></td>'
+                '<td>{4}</td>'
+                '</tr>')
+
+linked_image_template = '<a href="{0}"><img src="{0}"></a>'
+
+
+def run(show_browser=True):
+    """
+    Build a website for visual comparison
+    """
+    image_dir = "result_images"
+    _subdirs = (name
+                for name in os.listdir(image_dir)
+                if os.path.isdir(os.path.join(image_dir, name)))
+
+    failed_rows = []
+    body_sections = []
+    for subdir in sorted(_subdirs):
+        if subdir == "test_compare_images":
+            # These are the images which test the image comparison functions.
+            continue
+
+        pictures = defaultdict(dict)
+        for file in os.listdir(os.path.join(image_dir, subdir)):
+            if os.path.isdir(os.path.join(image_dir, subdir, file)):
+                continue
+            fn, fext = os.path.splitext(file)
+            if fext != ".png":
+                continue
+            if "-failed-diff" in fn:
+                file_type = 'diff'
+                test_name = fn[:-len('-failed-diff')]
+            elif "-expected" in fn:
+                for ext in NON_PNG_EXTENSIONS:
+                    if fn.endswith(f'_{ext}'):
+                        display_extension = f'_{ext}'
+                        extension = ext
+                        fn = fn[:-len(display_extension)]
+                        break
+                else:
+                    display_extension = ''
+                    extension = 'png'
+                file_type = 'expected'
+                test_name = fn[:-len('-expected')] + display_extension
+            else:
+                file_type = 'actual'
+                test_name = fn
+            # Always use / for URLs.
+            pictures[test_name][file_type] = '/'.join((subdir, file))
+
+        subdir_rows = []
+        for name, test in sorted(pictures.items()):
+            expected_image = test.get('expected', '')
+            actual_image = test.get('actual', '')
+
+            if 'diff' in test:
+                # A real failure in the image generation, resulting in
+                # different images.
+                status = " (failed)"
+                failed = f'<a href="{test["diff"]}">diff</a>'
+                current = linked_image_template.format(actual_image)
+                failed_rows.append(row_template.format(name, "", current,
+                                                       expected_image, failed))
+            elif 'actual' not in test:
+                # A failure in the test, resulting in no current image
+                status = " (failed)"
+                failed = '--'
+                current = '(Failure in test, no image produced)'
+                failed_rows.append(row_template.format(name, "", current,
+                                                       expected_image, failed))
+            else:
+                status = " (passed)"
+                failed = '--'
+                current = linked_image_template.format(actual_image)
+
+            subdir_rows.append(row_template.format(name, status, current,
+                                                   expected_image, failed))
+
+        body_sections.append(
+            subdir_template.format(subdir=subdir, rows='\n'.join(subdir_rows)))
+
+    if failed_rows:
+        failed = failed_template.format(rows='\n'.join(failed_rows))
+    else:
+        failed = ''
+    body = ''.join(body_sections)
+    html = html_template.format(failed=failed, body=body)
+    index = os.path.join(image_dir, "index.html")
+    with open(index, "w") as f:
+        f.write(html)
+
+    show_message = not show_browser
+    if show_browser:
+        try:
+            import webbrowser
+            webbrowser.open(index)
+        except Exception:
+            show_message = True
+
+    if show_message:
+        print(f"Open {index} in a browser for a visual comparison.")
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--no-browser', action='store_true',
+                        help="Don't show browser after creating index page.")
+    args = parser.parse_args()
+    run(show_browser=not args.no_browser)
diff --git a/tox.ini b/tox.ini
index b34e6ea7af13..1d527a19ff52 100644
--- a/tox.ini
+++ b/tox.ini
@@ -4,13 +4,35 @@
 # and then run "tox" from this directory.
 
 [tox]
-envlist = py26, py27, py31, py32
+envlist = py311, py312, py313, stubtest
 
 [testenv]
 changedir = /tmp
+setenv =
+    MPLCONFIGDIR={envtmpdir}/.matplotlib
+    PIP_USER = 0
+    PIP_ISOLATED = 1
+    SETUPTOOLS_SCM_PRETEND_VERSION_FOR_MATPLOTLIB = 0.0.0
+
+usedevelop = True
+commands =
+    pytest --pyargs matplotlib.tests  {posargs}
+deps =
+    pytest
+
+[testenv:pytz]
+changedir = /tmp
+commands =
+    pytest -m pytz {toxinidir}
+deps =
+    pytest
+    pytz
+
+[testenv:stubtest]
+changedir = {tox_root}
 commands =
-    sh -c 'rm -f $HOME/.matplotlib/fontList*'
-    {envpython} {toxinidir}/tests.py --processes=-1 --process-timeout=300
+    python tools/stubtest.py
+usedevelop = False
 deps =
-    nose
-    numpy
+    -r requirements/testing/mypy.txt
+    -r requirements/testing/all.txt
diff --git a/unit/agg_memleak.py b/unit/agg_memleak.py
deleted file mode 100644
index 7dd1008fb477..000000000000
--- a/unit/agg_memleak.py
+++ /dev/null
@@ -1,60 +0,0 @@
-"""
-And another broken test...
-"""
-
-from __future__ import print_function
-import sys, time, os
-from matplotlib.ft2font import FT2Font
-from numpy.random import rand
-from matplotlib.backend_bases import GraphicsContextBase
-from matplotlib.backends._backend_agg import RendererAgg
-
-def report_memory(i):
-    pid = os.getpid()
-    a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
-    print(i, '  ', a2[1], end='')
-    return int(a2[1].split()[0])
-
-fname = '/usr/local/share/matplotlib/Vera.ttf'
-
-N = 200
-for i in range(N):
-    gc = GraphicsContextBase()
-    gc.set_clip_rectangle( [20,20,20,20] )
-    o = RendererAgg(400,400, 72)
-
-    for j in range(50):
-        xs = [400*int(rand()) for k in range(8)]
-        ys = [400*int(rand()) for k in range(8)]
-        rgb = (1,0,0)
-        pnts = zip(xs, ys)
-        o.draw_polygon(gc, rgb, pnts)   # no such method??
-        o.draw_polygon(gc, None, pnts)
-
-    for j in range(50):
-        x = [400*int(rand()) for k in range(4)]
-        y = [400*int(rand()) for k in range(4)]
-        o.draw_lines( gc, x, y)
-
-    for j in range(50):
-        args = [400*int(rand()) for k in range(4)]
-        rgb = (1,0,0)
-        o.draw_rectangle(gc, rgb, *args)
-
-    if 1: # add text
-        font = FT2Font(fname)
-        font.clear()
-        font.set_text('hi mom', 60)
-        font.set_size(12, 72)
-        o.draw_text_image(font.get_image(), 30, 40, gc)
-
-    o.write_png('aggtest%d.png'%i)
-    val = report_memory(i)
-    if i==1: start = val
-
-end = val
-print('Average memory consumed per loop: %1.4f\n' % ((end-start)/float(N)))
-
-# w/o text and w/o write_png: Average memory consumed per loop: 0.02
-# w/o text and w/ write_png : Average memory consumed per loop: 0.3400
-# w/ text and w/ write_png  : Average memory consumed per loop: 0.32
diff --git a/unit/compare_backend_driver_results.py b/unit/compare_backend_driver_results.py
deleted file mode 100644
index 4b705d001f82..000000000000
--- a/unit/compare_backend_driver_results.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from __future__ import print_function
-import sys
-
-def parse_results(filename):
-    results = {}
-    fd = open(filename, 'r')
-    section = "???"
-    for line in fd.readlines():
-        line = line.strip()
-        if line.startswith("testing"):
-            section = line.split(" ", 1)[1]
-            results.setdefault(section, {})
-        elif line.startswith("driving"):
-            driving, test, time = [x.strip() for x in line.split()]
-            time = float(time)
-            results[section][test] = time
-    fd.close()
-    return results
-
-
-def check_results_are_compatible(results_a, results_b):
-    for section in results_a.keys():
-        if not section in results_b:
-            raise RuntimeError("Backend '%s' in first set, but not in second" % section)
-    
-    for section in results_b.keys():
-        if not section in results_a:
-            raise RuntimeError("Backend '%s' in second set, but not in first" % section)
-    
-
-def compare_results(results_a, results_b):
-    check_results_are_compatible(results_a, results_b)
-
-    sections = results_a.keys()
-    sections.sort()
-    for section in results_a.keys():
-        print("backend %s" % section)
-        print("    %-40s %6s %6s %6s %6s" % ("test", "a", "b", "delta", "% diff"))
-        print("    " + '-' * 69)
-        deltas = []
-        section_a = results_a[section]
-        section_b = results_b[section]
-        for test in section_a.keys():
-            if test not in section_b:
-                deltas.append([None, None, section_a[test], None, test])
-            else:
-                time_a = section_a[test]
-                time_b = section_b[test]
-                deltas.append([time_b / time_a, time_b - time_a, time_a, time_b, test])
-        for test in section_b.keys():
-            if test not in section_a:
-                deltas.append([None, None, None, section_b[test], test])
-
-        deltas.sort()
-        for diff, delta, time_a, time_b, test in deltas:
-            if diff is None:
-                if time_a is None:
-                    print("    %-40s    ??? % 6.3f    ???    ???" % (test, time_b))
-                else:
-                    print("    %-40s % 6.3f    ???    ???    ???" % (test, time_a))
-            else:
-                print("    %-40s % 6.3f % 6.3f % 6.3f %6d%%" % (test, time_a, time_b, delta, diff * 100))
-
-
-if __name__ == '__main__':
-    results_a_filename = sys.argv[-2]
-    results_b_filename = sys.argv[-1]
-
-    results_a = parse_results(results_a_filename)
-    results_b = parse_results(results_b_filename)
-
-    compare_results(results_a, results_b)
diff --git a/unit/ellipse_large.py b/unit/ellipse_large.py
deleted file mode 100644
index 3a407db5ab8d..000000000000
--- a/unit/ellipse_large.py
+++ /dev/null
@@ -1,150 +0,0 @@
-
-# This example can be boiled down to a more simplistic example
-# to show the problem, but bu including the upper and lower
-# bound ellipses, it demonstrates how significant this error
-# is to our plots.
-
-from __future__ import print_function
-import math
-from pylab import *
-from matplotlib.patches import Ellipse, Arc
-
-# given a point x, y
-x = 2692.440
-y = 6720.850
-
-# get is the radius of a circle through this point
-r = math.sqrt( x*x+y*y )
-
-# show some comparative circles
-delta = 6
-
-
-##################################################
-def custom_ellipse( ax, x, y, major, minor, theta, numpoints = 750, **kwargs ):
-   xs = []
-   ys = []
-   incr = 2.0*math.pi / numpoints
-   incrTheta = 0.0
-   while incrTheta <= (2.0*math.pi):
-      a = major * math.cos( incrTheta )
-      b = minor * math.sin( incrTheta )
-      l = math.sqrt( ( a**2 ) + ( b**2 ) )
-      phi = math.atan2( b, a )
-      incrTheta += incr
-
-      xs.append( x + ( l * math.cos( theta + phi ) ) )
-      ys.append( y + ( l * math.sin( theta + phi ) ) )
-   # end while
-
-   incrTheta = 2.0*math.pi
-   a = major * math.cos( incrTheta )
-   b = minor * math.sin( incrTheta )
-   l = sqrt( ( a**2 ) + ( b**2 ) )
-   phi = math.atan2( b, a )
-   xs.append( x + ( l * math.cos( theta + phi ) ) )
-   ys.append( y + ( l * math.sin( theta + phi ) ) )
-
-   ellipseLine = ax.plot( xs, ys, **kwargs )
-
-
-
-
-##################################################
-# make the axes
-ax1 = subplot( 311, aspect='equal' )
-ax1.set_aspect( 'equal', 'datalim' )
-
-# make the lower-bound ellipse
-diam = (r - delta) * 2.0
-lower_ellipse = Ellipse( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkgreen" )
-ax1.add_patch( lower_ellipse )
-
-# make the target ellipse
-diam = r * 2.0
-target_ellipse = Ellipse( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkred" )
-ax1.add_patch( target_ellipse )
-
-# make the upper-bound ellipse
-diam = (r + delta) * 2.0
-upper_ellipse = Ellipse( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkblue" )
-ax1.add_patch( upper_ellipse )
-
-# make the target
-diam = delta * 2.0
-target = Ellipse( (x, y), diam, diam, 0.0, fill=False, edgecolor="#DD1208" )
-ax1.add_patch( target )
-
-# give it a big marker
-ax1.plot( [x], [y], marker='x', linestyle='None', mfc='red', mec='red', markersize=10 )
-
-##################################################
-# make the axes
-ax = subplot( 312, aspect='equal' , sharex=ax1, sharey=ax1)
-ax.set_aspect( 'equal', 'datalim' )
-
-# make the lower-bound arc
-diam = (r - delta) * 2.0
-lower_arc = Arc( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkgreen" )
-ax.add_patch( lower_arc )
-
-# make the target arc
-diam = r * 2.0
-target_arc = Arc( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkred" )
-ax.add_patch( target_arc )
-
-# make the upper-bound arc
-diam = (r + delta) * 2.0
-upper_arc = Arc( (0.0, 0.0), diam, diam, 0.0, fill=False, edgecolor="darkblue" )
-ax.add_patch( upper_arc )
-
-# make the target
-diam = delta * 2.0
-target = Arc( (x, y), diam, diam, 0.0, fill=False, edgecolor="#DD1208" )
-ax.add_patch( target )
-
-# give it a big marker
-ax.plot( [x], [y], marker='x', linestyle='None', mfc='red', mec='red', markersize=10 )
-
-
-
-
-
-##################################################
-# now lets do the same thing again using a custom ellipse function
-
-
-
-# make the axes
-ax = subplot( 313, aspect='equal', sharex=ax1, sharey=ax1 )
-ax.set_aspect( 'equal', 'datalim' )
-
-# make the lower-bound ellipse
-custom_ellipse( ax, 0.0, 0.0, r-delta, r-delta, 0.0, color="darkgreen" )
-
-# make the target ellipse
-custom_ellipse( ax, 0.0, 0.0, r, r, 0.0, color="darkred" )
-
-# make the upper-bound ellipse
-custom_ellipse( ax, 0.0, 0.0, r+delta, r+delta, 0.0, color="darkblue" )
-
-# make the target
-custom_ellipse( ax, x, y, delta, delta, 0.0, color="#BB1208" )
-
-# give it a big marker
-ax.plot( [x], [y], marker='x', linestyle='None', mfc='red', mec='red', markersize=10 )
-
-
-# give it a big marker
-ax.plot( [x], [y], marker='x', linestyle='None', mfc='red', mec='red', markersize=10 )
-
-##################################################
-# lets zoom in to see the area of interest
-
-ax1.set_xlim(2650, 2735)
-ax1.set_ylim(6705, 6735)
-
-savefig("ellipse")
-show()
-
-
diff --git a/unit/legend_unit.py b/unit/legend_unit.py
deleted file mode 100644
index 886a9b45c4d9..000000000000
--- a/unit/legend_unit.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from __future__ import print_function
-from pylab import figure, show, np
-
-Ntests = 3
-t = np.arange(0.0, 1.0, 0.05)
-s = np.sin(2*np.pi*t)
-
-# scatter creates a RegPolyCollection
-fig = figure()
-ax = fig.add_subplot(Ntests, 1, 1)
-N = 100
-x, y = 0.9*np.random.rand(2,N)
-area = np.pi*(10 * np.random.rand(N))**2 # 0 to 10 point radiuses
-ax.scatter(x,y,s=area, marker='^', c='r', label='scatter')
-ax.legend()
-
-# vlines creates a LineCollection
-ax = fig.add_subplot(Ntests, 1, 2)
-ax.vlines(t, [0], np.sin(2*np.pi*t), label='vlines')
-ax.legend()
-
-# vlines creates a LineCollection
-ax = fig.add_subplot(Ntests, 1, 3)
-ax.plot(t, s, 'b-', lw=2, label='a line')
-ax.legend()
-
-fig.savefig('legend_unit')
-show()
diff --git a/unit/longs_test.py b/unit/longs_test.py
deleted file mode 100644
index 1697f7b61343..000000000000
--- a/unit/longs_test.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/usr/bin/env python
-# try plotting very large numbers
-
-from __future__ import print_function
-
-from pylab import *
-x = arange(1000) + 2**32
-
-subplot(211)
-plot(x,x)
-
-subplot(212)
-loglog(x,x)
-
-show()
diff --git a/unit/memleak_gui.py b/unit/memleak_gui.py
deleted file mode 100755
index 2478bb87bb20..000000000000
--- a/unit/memleak_gui.py
+++ /dev/null
@@ -1,104 +0,0 @@
-#!/usr/bin/env python
-
-'''
-This illustrates a leak that occurs with any interactive backend.
-Run with :
-
-  > python memleak_gui.py -dGTKAgg   # or TkAgg, etc..
-
-use --help option to see all options
-
-The default number of loops typically will not yield a stable
-estimate--for that you may need many hundreds of loops and some patience.
-
-You may need to edit cbook.report_memory to support your platform
-
-'''
-from __future__ import print_function
-import os, sys, time
-import gc
-from optparse import OptionParser
-
-parser = OptionParser()
-parser.add_option("-q", "--quiet", default=True,
-                  action="store_false", dest="verbose")
-parser.add_option("-s", "--start", dest="start",
-                  default="30",
-                  help="first index of averaging interval")
-parser.add_option("-e", "--end", dest="end",
-                  default="100",
-                  help="last index of averaging interval")
-parser.add_option("-t", "--toolbar", dest="toolbar",
-                  default="toolbar2",
-                  help="toolbar: None, classic, toolbar2")
-# The following overrides matplotlib's version of the -d option
-# uses it if found
-parser.add_option("-d", "--backend", dest="backend",
-                  default='',
-                  help="backend")
-parser.add_option("-c", "--cycles", dest="cycles",
-                  default=False, action="store_true")
-
-options, args = parser.parse_args()
-
-indStart = int(options.start)
-indEnd = int(options.end)
-import matplotlib
-matplotlib.rcParams['toolbar'] = matplotlib.validate_toolbar(options.toolbar)
-if options.backend:
-    matplotlib.use(options.backend)
-import pylab
-import matplotlib.cbook as cbook
-
-print('# columns are: iteration, OS memory (k), number of python objects')
-print('#')
-for i in range(indEnd+1):
-
-    fig = pylab.figure()
-    fig.savefig('test')  # This seems to just slow down the testing.
-    fig.clf()
-    pylab.close(fig)
-    gc.collect()
-    val = cbook.report_memory(i)
-    if options.verbose:
-        if i % 10 == 0:
-            #print ("iter: %4d OS memory: %8d Python objects: %8d" %
-            print ("%4d %8d %8d" %
-                   (i, val, len(gc.get_objects())))
-    if i==indStart: start = val # wait a few cycles for memory usage to stabilize
-
-gc.collect()
-end = val
-
-print('# columns above are: iteration, OS memory (k), number of python objects')
-print('#')
-print('# uncollectable list:', gc.garbage)
-print('#')
-
-if i > indStart:
-    print('# Backend %(backend)s, toolbar %(toolbar)s' % matplotlib.rcParams)
-    backend = options.backend.lower()
-    if backend.startswith("gtk"):
-        import gtk
-        import gobject
-        print("# pygtk version: %s, gtk version: %s, pygobject version: %s, glib version: %s" % \
-            (gtk.pygtk_version, gtk.gtk_version,
-             gobject.pygobject_version, gobject.glib_version))
-    elif backend.startswith("qt4"):
-        import PyQt4.pyqtconfig
-        print("# PyQt4 version: %s, Qt version %x" % \
-            (PyQt4.pyqtconfig.Configuration().pyqt_version_str,
-             PyQt4.pyqtconfig.Configuration().qt_version))
-    elif backend.startswith("wx"):
-        import wx
-        print("# wxPython version: %s" % wx.__version__)
-    elif backend.startswith("tk"):
-        import Tkinter
-        print("# Tkinter version: %s, Tk version: %s, Tcl version: %s" % (Tkinter.__version__, Tkinter.TkVersion, Tkinter.TclVersion))
-
-    print('# Averaging over loops %d to %d' % (indStart, indEnd))
-    print('# Memory went from %dk to %dk' % (start, end))
-    print('# Average memory consumed per loop: %1.4fk bytes\n' % ((end-start)/float(indEnd-indStart)))
-
-if options.cycles:
-    cbook.print_cycles(gc.garbage)
diff --git a/unit/memleak_hawaii3.py b/unit/memleak_hawaii3.py
deleted file mode 100755
index 6aab771e46dd..000000000000
--- a/unit/memleak_hawaii3.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-
-import os, sys, time, gc
-import matplotlib
-matplotlib.use('PDF')
-
-from matplotlib.cbook import report_memory
-import numpy as np
-from pylab import figure, show, close
-
-# take a memory snapshot on indStart and compare it with indEnd
-
-rand = np.random.rand
-
-indStart, indEnd = 200, 401
-for i in range(indEnd):
-
-    fig = figure(1)
-    fig.clf()
-
-
-    t1 = np.arange(0.0, 2.0, 0.01)
-    y1 = np.sin(2*np.pi*t1)
-    y2 = rand(len(t1))
-    X = rand(50,50)
-
-    ax = fig.add_subplot(221)
-    ax.plot(t1, y1, '-')
-    ax.plot(t1, y2, 's')
-
-
-    ax = fig.add_subplot(222)
-    ax.imshow(X)
-
-    ax = fig.add_subplot(223)
-    ax.scatter(rand(50), rand(50), s=100*rand(50), c=rand(50))
-
-    ax = fig.add_subplot(224)
-    ax.pcolor(10*rand(50,50))
-
-    fig.savefig('tmp%d' % i, dpi = 75)
-    close(1)
-
-    gc.collect()
-    val = report_memory(i)
-    print(i, val)
-    if i==indStart: start = val # wait a few cycles for memory usage to stabilize
-
-end = val
-print('Average memory consumed per loop: %1.4fk bytes\n' % ((end-start)/float(indEnd-indStart)))
-
diff --git a/unit/memleak_nongui.py b/unit/memleak_nongui.py
deleted file mode 100644
index e3ac8321d00b..000000000000
--- a/unit/memleak_nongui.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from __future__ import print_function
-import os,matplotlib
-matplotlib.use('Agg')
-from matplotlib.figure import Figure
-from matplotlib.cbook import report_memory
-
-def plot():
-    fig = Figure()
-    i = 0
-    while True:
-        print(i, report_memory(i))
-        fig.clf()
-        ax = fig.add_axes([0.1,0.1,0.7,0.7])
-        ax.plot([1,2,3])
-        i += 1
-
-if __name__ == '__main__': plot()
diff --git a/unit/mlab_unit.py b/unit/mlab_unit.py
deleted file mode 100644
index 8ba82dad5c6f..000000000000
--- a/unit/mlab_unit.py
+++ /dev/null
@@ -1,82 +0,0 @@
-from __future__ import print_function
-import datetime, StringIO, unittest
-import matplotlib.mlab as mlab
-import numpy
-
-class TestMlab(unittest.TestCase):
-    def test_csv2rec_closefile(self):
-        # If passed a file-like object, rec2csv should not close it.
-        ra=numpy.rec.array([(123, 1197346475.0137341), (456, 123.456)],
-                           dtype=[('a', '<i8'), ('b', '<f8')])
-        fh = StringIO.StringIO()
-        mlab.rec2csv( ra, fh )
-        self.failIf( fh.closed )
-
-    def test_csv2rec_roundtrip(self):
-
-        # Make sure double-precision floats and strings pass through a
-        # roundtrip unaltered.
-
-        # A bug in numpy (fixed in r4602) meant that numpy scalars
-        # lost precision when passing through repr(). csv2rec was
-        # affected by this. This test will only pass on numpy >=
-        # 1.0.5.
-        delta = datetime.timedelta(days=1)
-        date0 = datetime.date(2007,12,16)
-        date1 = date0 + delta
-        date2 = date1 + delta
-
-        delta = datetime.timedelta(days=1)
-        datetime0 = datetime.datetime(2007,12,16,22,29,34,924122)
-        datetime1 = datetime0 + delta
-        datetime2 = datetime1 + delta
-        ra=numpy.rec.fromrecords([
-                (123, date0, datetime0, 1197346475.0137341, 'a,bc'),
-                (456, date1, datetime1, 123.456, 'd\'ef'),
-                (789, date2, datetime2, 0.000000001, 'ghi'),
-                            ],
-            names='intdata,datedata,datetimedata,floatdata,stringdata')
-
-        fh = StringIO.StringIO()
-        mlab.rec2csv( ra, fh )
-        fh.seek(0)
-        if 0:
-            print('CSV contents:','-'*40)
-            print(fh.read())
-            print('-'*40)
-            fh.seek(0)
-        ra2 = mlab.csv2rec(fh)
-        fh.close()
-        #print 'ra', ra
-        #print 'ra2', ra2
-        for name in ra.dtype.names:
-            if 0:
-                print(name, repr(ra[name]), repr(ra2[name]))
-                dt = ra.dtype[name]
-                print('repr(dt.type)',repr(dt.type))
-            self.failUnless( numpy.all(ra[name] == ra2[name]) ) # should not fail with numpy 1.0.5
-
-    def test_csv2rec_masks(self):
-        # Make sure masked entries survive roundtrip
-
-        csv = """date,age,weight,name
-2007-01-01,12,32.2,"jdh1"
-0000-00-00,0,23,"jdh2"
-2007-01-03,,32.5,"jdh3"
-2007-01-04,12,NaN,"jdh4"
-2007-01-05,-1,NULL,"""
-        missingd = dict(date='0000-00-00', age='-1', weight='NULL')
-        fh = StringIO.StringIO(csv)
-        r1 = mlab.csv2rec(fh, missingd=missingd)
-        fh = StringIO.StringIO()
-        mlab.rec2csv(r1, fh, missingd=missingd)
-        fh.seek(0)
-        r2 = mlab.csv2rec(fh, missingd=missingd)
-
-        self.failUnless( numpy.all( r2['date'].mask   == [0,1,0,0,0] ))
-        self.failUnless( numpy.all( r2['age'].mask    == [0,0,1,0,1] ))
-        self.failUnless( numpy.all( r2['weight'].mask == [0,0,0,0,1] ))
-        self.failUnless( numpy.all( r2['name'].mask   == [0,0,0,0,1] ))
-
-if __name__=='__main__':
-    unittest.main()
diff --git a/unit/test_clean_install.sh b/unit/test_clean_install.sh
deleted file mode 100755
index 07689ad2a73e..000000000000
--- a/unit/test_clean_install.sh
+++ /dev/null
@@ -1,24 +0,0 @@
-#!/bin/bash
-
-# Tests that matplotlib can install into a completely clean virtual
-# environment.
-
-set -e
-cd ..
-rm -rf build
-rm -rf numpy*
-rm -rf python.tmp
-python unit/virtualenv.py python.tmp
-python.tmp/bin/python setup.py install
-python.tmp/bin/python -c "import matplotlib"
-rm -rf python.tmp
-
-set -e
-cd ..
-rm -rf build
-rm -rf numpy*
-rm -rf python.tmp
-python3 unit/virtualenv.py python.tmp
-python.tmp/bin/python3 setup.py install
-python.tmp/bin/python3 -c "import matplotlib"
-rm -rf python.tmp
diff --git a/unit/test_wxagg.py b/unit/test_wxagg.py
deleted file mode 100755
index e48ef522667e..000000000000
--- a/unit/test_wxagg.py
+++ /dev/null
@@ -1,176 +0,0 @@
-#!/usr/bin/env pythonw
-# Name: test_wxagg.py
-# Purpose: exercises the agg to wx.Image and wx.Bitmap conversion functions
-# Author: Ken McIvor <mcivor@iit.edu>
-#
-# Copyright 2005 Illinois Institute of Technology
-#
-# Permission is hereby granted, free of charge, to any person obtaining
-# a copy of this software and associated documentation files (the
-# "Software"), to deal in the Software without restriction, including
-# without limitation the rights to use, copy, modify, merge, publish,
-# distribute, sublicense, and/or sell copies of the Software, and to
-# permit persons to whom the Software is furnished to do so, subject to
-# the following conditions:
-#
-# The above copyright notice and this permission notice shall be
-# included in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-# IN NO EVENT SHALL ILLINOIS INSTITUTE OF TECHNOLOGY BE LIABLE FOR ANY
-# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
-# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-#
-# Except as contained in this notice, the name of Illinois Institute
-# of Technology shall not be used in advertising or otherwise to promote
-# the sale, use or other dealings in this Software without prior written
-# authorization from Illinois Institute of Technology.
-
-from __future__ import print_function
-
-
-import wx
-import time
-import matplotlib
-matplotlib.use('Agg')
-from matplotlib.figure import Figure
-from matplotlib.transforms import Bbox, Point, Value
-from matplotlib.backends.backend_agg import FigureCanvasAgg
-from matplotlib.backends.backend_wxagg import _py_convert_agg_to_wx_image, \
-    _py_convert_agg_to_wx_bitmap
-import matplotlib.backends._wxagg as wxagg
-
-
-####################
-# Test Configuration
-####################
-
-# Simple tests -- write PNG images of the plots
-TEST_PY  = 0
-TEST_EXT = 0
-
-# Timing tests -- print time per plot
-TIME_PY  = 1
-TIME_EXT = 1
-
-
-#################
-# Test Parameters
-#################
-
-# Bounding box to use in testing
-ll_x = 320
-ll_y = 240
-ur_x = 640
-ur_y = 480
-BBOX = Bbox(Point(Value(ll_x), Value(ll_y)),
-            Point(Value(ur_x), Value(ur_y)))
-
-# Number of iterations for timing
-NITERS = 25
-
-
-###############################################################################
-
-
-#
-# Testing framework
-#
-
-def time_loop(function, args):
-    i = 0
-    start = time.time()
-    while i < NITERS:
-        function(*args)
-        i += 1
-    return (time.time() - start)/NITERS
-
-
-def make_figure():
-    figure = Figure((6.4, 4.8), 100, frameon=False)
-    canvas = FigureCanvasAgg(figure)
-    return figure, canvas
-
-
-def plot_sin(figure):
-    from pylab import arange, sin, pi
-    t = arange(0.0, 2.0, 0.01)
-    s = sin(2*pi*t)
-
-    axes = figure.gca()
-    axes.plot(t, s, linewidth=1.0)
-    axes.set_title('title')
-
-
-def main():
-    app = wx.PySimpleApp()
-    figure, canvas = make_figure()
-    bbox = None
-    plot_sin(figure)
-    canvas.draw()
-    agg = canvas.get_renderer()
-
-    if 0:
-        print('ll.x =', BBOX.ll().x().get())
-        print('ll.y =', BBOX.ll().y().get())
-        print('ur.x =', BBOX.ur().x().get())
-        print('ur.y =', BBOX.ur().y().get())
-
-    # test the pure python implementation
-    if TEST_PY:
-        i_py   = _py_convert_agg_to_wx_image( agg, None)
-        b_py   = _py_convert_agg_to_wx_bitmap(agg, None)
-        i_py_b = _py_convert_agg_to_wx_image( agg, BBOX)
-        b_py_b = _py_convert_agg_to_wx_bitmap(agg, BBOX)
-
-        i_py.SaveFile(  'a_py_img.png', wx.BITMAP_TYPE_PNG)
-        b_py.SaveFile(  'a_py_bmp.png', wx.BITMAP_TYPE_PNG)
-        i_py_b.SaveFile('b_py_img.png', wx.BITMAP_TYPE_PNG)
-        b_py_b.SaveFile('b_py_bmp.png', wx.BITMAP_TYPE_PNG)
-
-    # test the C++ implementation
-    if TEST_EXT:
-        i_ext   = wxagg.convert_agg_to_wx_image( agg, None)
-        b_ext   = wxagg.convert_agg_to_wx_bitmap(agg, None)
-        i_ext_b = wxagg.convert_agg_to_wx_image( agg, BBOX)
-        b_ext_b = wxagg.convert_agg_to_wx_bitmap(agg, BBOX)
-
-        i_ext.SaveFile(  'a_ext_img.png', wx.BITMAP_TYPE_PNG)
-        b_ext.SaveFile(  'a_ext_bmp.png', wx.BITMAP_TYPE_PNG)
-        i_ext_b.SaveFile('b_ext_img.png', wx.BITMAP_TYPE_PNG)
-        b_ext_b.SaveFile('b_ext_bmp.png', wx.BITMAP_TYPE_PNG)
-
-    # time the pure python implementation
-    if TIME_PY:
-        t = time_loop(_py_convert_agg_to_wx_image, (agg,None))
-        print('Python agg2img:        %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(_py_convert_agg_to_wx_bitmap, (agg,None))
-        print('Python agg2bmp:        %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(_py_convert_agg_to_wx_image, (agg,BBOX))
-        print('Python agg2img w/bbox: %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(_py_convert_agg_to_wx_bitmap, (agg,BBOX))
-        print('Python agg2bmp w/bbox: %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-    # time the C++ implementation
-    if TIME_EXT:
-        t = time_loop(wxagg.convert_agg_to_wx_image, (agg,None))
-        print('_wxagg agg2img:        %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(wxagg.convert_agg_to_wx_bitmap, (agg,None))
-        print('_wxagg agg2bmp:        %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(wxagg.convert_agg_to_wx_image, (agg,BBOX))
-        print('_wxagg agg2img w/bbox: %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-        t = time_loop(wxagg.convert_agg_to_wx_bitmap, (agg,BBOX))
-        print('_wxagg agg2bmp w/bbox: %.4f seconds (%.1f HZ)' % (t, 1/t))
-
-
-if __name__ == '__main__':
-    main()
diff --git a/unit/threading_test.py b/unit/threading_test.py
deleted file mode 100755
index 6e1c9967ce42..000000000000
--- a/unit/threading_test.py
+++ /dev/null
@@ -1,72 +0,0 @@
-#! /usr/bin/python
-
-"""
-Test by Karen Tracey for threading problem reported in
-http://www.mail-archive.com/matplotlib-devel@lists.sourceforge.net/msg04819.html
-and solved by JDH in git commit 175e3ec5bed9144.
-"""
-
-from __future__ import print_function
-import os
-import threading
-import traceback
-
-import numpy as np
-from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
-from matplotlib.figure import Figure
-
-thread_count = 8
-max_iterations = 50
-exception_raised = False
-
-def png_thread(tn):
-    png_fname = 'out%d.png' % tn
-    vals = 100 + 15 * np.random.randn(10000)
-
-    i = 0
-    excp = None
-    global exception_raised
-    while not exception_raised and i < max_iterations:
-        i += 1
-        png_f = open(png_fname, 'wb')
-
-        try:
-            fig = Figure()
-            ax = fig.add_subplot(111)
-            ax.hist(vals, 50)
-            FigureCanvas(fig).print_png(png_f)
-
-        except Exception, excp:
-            pass
-
-        png_f.close()
-        if excp:
-            print('png_thread %d failed on iteration %d:' % (tn, i))
-            print(traceback.format_exc(excp))
-            exception_raised = True
-        else:
-            print('png_thread %d completed iteration %d.' % (tn, i))
-
-    os.unlink(png_fname)
-
-def main(tc):
-    threads = []
-    for i in range(tc):
-        threads.append(threading.Thread(target=png_thread, args=(i+1,)))
-
-    for t in threads:
-        t.start()
-
-    for t in threads:
-        t.join()
-
-    if not exception_raised:
-        msg = 'Success! %d threads completed %d iterations with no exceptions raised.'
-    else:
-        msg = 'Failed! Exception raised before %d threads completed %d iterations.'
-
-    print(msg % (tc, max_iterations))
-
-if __name__== "__main__":
-    main(thread_count)
-
diff --git a/unit/virtualenv.py b/unit/virtualenv.py
deleted file mode 100755
index ccb6eec9553b..000000000000
--- a/unit/virtualenv.py
+++ /dev/null
@@ -1,2581 +0,0 @@
-#!/usr/bin/env python
-"""Create a "virtual" Python installation
-"""
-
-# If you change the version here, change it in setup.py
-# and docs/conf.py as well.
-__version__ = "1.9.1"  # following best practices
-virtualenv_version = __version__  # legacy, again
-
-import base64
-import sys
-import os
-import codecs
-import optparse
-import re
-import shutil
-import logging
-import tempfile
-import zlib
-import errno
-import glob
-import distutils.sysconfig
-from distutils.util import strtobool
-import struct
-import subprocess
-
-if sys.version_info < (2, 5):
-    print('ERROR: %s' % sys.exc_info()[1])
-    print('ERROR: this script requires Python 2.5 or greater.')
-    sys.exit(101)
-
-try:
-    set
-except NameError:
-    from sets import Set as set
-try:
-    basestring
-except NameError:
-    basestring = str
-
-try:
-    import ConfigParser
-except ImportError:
-    import configparser as ConfigParser
-
-join = os.path.join
-py_version = 'python%s.%s' % (sys.version_info[0], sys.version_info[1])
-
-is_jython = sys.platform.startswith('java')
-is_pypy = hasattr(sys, 'pypy_version_info')
-is_win = (sys.platform == 'win32')
-is_cygwin = (sys.platform == 'cygwin')
-is_darwin = (sys.platform == 'darwin')
-abiflags = getattr(sys, 'abiflags', '')
-
-user_dir = os.path.expanduser('~')
-if is_win:
-    default_storage_dir = os.path.join(user_dir, 'virtualenv')
-else:
-    default_storage_dir = os.path.join(user_dir, '.virtualenv')
-default_config_file = os.path.join(default_storage_dir, 'virtualenv.ini')
-
-if is_pypy:
-    expected_exe = 'pypy'
-elif is_jython:
-    expected_exe = 'jython'
-else:
-    expected_exe = 'python'
-
-
-REQUIRED_MODULES = ['os', 'posix', 'posixpath', 'nt', 'ntpath', 'genericpath',
-                    'fnmatch', 'locale', 'encodings', 'codecs',
-                    'stat', 'UserDict', 'readline', 'copy_reg', 'types',
-                    're', 'sre', 'sre_parse', 'sre_constants', 'sre_compile',
-                    'zlib']
-
-REQUIRED_FILES = ['lib-dynload', 'config']
-
-majver, minver = sys.version_info[:2]
-if majver == 2:
-    if minver >= 6:
-        REQUIRED_MODULES.extend(['warnings', 'linecache', '_abcoll', 'abc'])
-    if minver >= 7:
-        REQUIRED_MODULES.extend(['_weakrefset'])
-    if minver <= 3:
-        REQUIRED_MODULES.extend(['sets', '__future__'])
-elif majver == 3:
-    # Some extra modules are needed for Python 3, but different ones
-    # for different versions.
-    REQUIRED_MODULES.extend(['_abcoll', 'warnings', 'linecache', 'abc', 'io',
-                             '_weakrefset', 'copyreg', 'tempfile', 'random',
-                             '__future__', 'collections', 'keyword', 'tarfile',
-                             'shutil', 'struct', 'copy', 'tokenize', 'token',
-                             'functools', 'heapq', 'bisect', 'weakref',
-                             'reprlib'])
-    if minver >= 2:
-        REQUIRED_FILES[-1] = 'config-%s' % majver
-    if minver == 3:
-        import sysconfig
-        platdir = sysconfig.get_config_var('PLATDIR')
-        REQUIRED_FILES.append(platdir)
-        # The whole list of 3.3 modules is reproduced below - the current
-        # uncommented ones are required for 3.3 as of now, but more may be
-        # added as 3.3 development continues.
-        REQUIRED_MODULES.extend([
-            #"aifc",
-            #"antigravity",
-            #"argparse",
-            #"ast",
-            #"asynchat",
-            #"asyncore",
-            "base64",
-            #"bdb",
-            #"binhex",
-            #"bisect",
-            #"calendar",
-            #"cgi",
-            #"cgitb",
-            #"chunk",
-            #"cmd",
-            #"codeop",
-            #"code",
-            #"colorsys",
-            #"_compat_pickle",
-            #"compileall",
-            #"concurrent",
-            #"configparser",
-            #"contextlib",
-            #"cProfile",
-            #"crypt",
-            #"csv",
-            #"ctypes",
-            #"curses",
-            #"datetime",
-            #"dbm",
-            #"decimal",
-            #"difflib",
-            #"dis",
-            #"doctest",
-            #"dummy_threading",
-            "_dummy_thread",
-            #"email",
-            #"filecmp",
-            #"fileinput",
-            #"formatter",
-            #"fractions",
-            #"ftplib",
-            #"functools",
-            #"getopt",
-            #"getpass",
-            #"gettext",
-            #"glob",
-            #"gzip",
-            "hashlib",
-            #"heapq",
-            "hmac",
-            #"html",
-            #"http",
-            #"idlelib",
-            #"imaplib",
-            #"imghdr",
-            "imp",
-            "importlib",
-            #"inspect",
-            #"json",
-            #"lib2to3",
-            #"logging",
-            #"macpath",
-            #"macurl2path",
-            #"mailbox",
-            #"mailcap",
-            #"_markupbase",
-            #"mimetypes",
-            #"modulefinder",
-            #"multiprocessing",
-            #"netrc",
-            #"nntplib",
-            #"nturl2path",
-            #"numbers",
-            #"opcode",
-            #"optparse",
-            #"os2emxpath",
-            #"pdb",
-            #"pickle",
-            #"pickletools",
-            #"pipes",
-            #"pkgutil",
-            #"platform",
-            #"plat-linux2",
-            #"plistlib",
-            #"poplib",
-            #"pprint",
-            #"profile",
-            #"pstats",
-            #"pty",
-            #"pyclbr",
-            #"py_compile",
-            #"pydoc_data",
-            #"pydoc",
-            #"_pyio",
-            #"queue",
-            #"quopri",
-            #"reprlib",
-            "rlcompleter",
-            #"runpy",
-            #"sched",
-            #"shelve",
-            #"shlex",
-            #"smtpd",
-            #"smtplib",
-            #"sndhdr",
-            #"socket",
-            #"socketserver",
-            #"sqlite3",
-            #"ssl",
-            #"stringprep",
-            #"string",
-            #"_strptime",
-            #"subprocess",
-            #"sunau",
-            #"symbol",
-            #"symtable",
-            #"sysconfig",
-            #"tabnanny",
-            #"telnetlib",
-            #"test",
-            #"textwrap",
-            #"this",
-            #"_threading_local",
-            #"threading",
-            #"timeit",
-            #"tkinter",
-            #"tokenize",
-            #"token",
-            #"traceback",
-            #"trace",
-            #"tty",
-            #"turtledemo",
-            #"turtle",
-            #"unittest",
-            #"urllib",
-            #"uuid",
-            #"uu",
-            #"wave",
-            #"weakref",
-            #"webbrowser",
-            #"wsgiref",
-            #"xdrlib",
-            #"xml",
-            #"xmlrpc",
-            #"zipfile",
-        ])
-
-if is_pypy:
-    # these are needed to correctly display the exceptions that may happen
-    # during the bootstrap
-    REQUIRED_MODULES.extend(['traceback', 'linecache'])
-
-class Logger(object):
-
-    """
-    Logging object for use in command-line script.  Allows ranges of
-    levels, to avoid some redundancy of displayed information.
-    """
-
-    DEBUG = logging.DEBUG
-    INFO = logging.INFO
-    NOTIFY = (logging.INFO+logging.WARN)/2
-    WARN = WARNING = logging.WARN
-    ERROR = logging.ERROR
-    FATAL = logging.FATAL
-
-    LEVELS = [DEBUG, INFO, NOTIFY, WARN, ERROR, FATAL]
-
-    def __init__(self, consumers):
-        self.consumers = consumers
-        self.indent = 0
-        self.in_progress = None
-        self.in_progress_hanging = False
-
-    def debug(self, msg, *args, **kw):
-        self.log(self.DEBUG, msg, *args, **kw)
-    def info(self, msg, *args, **kw):
-        self.log(self.INFO, msg, *args, **kw)
-    def notify(self, msg, *args, **kw):
-        self.log(self.NOTIFY, msg, *args, **kw)
-    def warn(self, msg, *args, **kw):
-        self.log(self.WARN, msg, *args, **kw)
-    def error(self, msg, *args, **kw):
-        self.log(self.ERROR, msg, *args, **kw)
-    def fatal(self, msg, *args, **kw):
-        self.log(self.FATAL, msg, *args, **kw)
-    def log(self, level, msg, *args, **kw):
-        if args:
-            if kw:
-                raise TypeError(
-                    "You may give positional or keyword arguments, not both")
-        args = args or kw
-        rendered = None
-        for consumer_level, consumer in self.consumers:
-            if self.level_matches(level, consumer_level):
-                if (self.in_progress_hanging
-                    and consumer in (sys.stdout, sys.stderr)):
-                    self.in_progress_hanging = False
-                    sys.stdout.write('\n')
-                    sys.stdout.flush()
-                if rendered is None:
-                    if args:
-                        rendered = msg % args
-                    else:
-                        rendered = msg
-                    rendered = ' '*self.indent + rendered
-                if hasattr(consumer, 'write'):
-                    consumer.write(rendered+'\n')
-                else:
-                    consumer(rendered)
-
-    def start_progress(self, msg):
-        assert not self.in_progress, (
-            "Tried to start_progress(%r) while in_progress %r"
-            % (msg, self.in_progress))
-        if self.level_matches(self.NOTIFY, self._stdout_level()):
-            sys.stdout.write(msg)
-            sys.stdout.flush()
-            self.in_progress_hanging = True
-        else:
-            self.in_progress_hanging = False
-        self.in_progress = msg
-
-    def end_progress(self, msg='done.'):
-        assert self.in_progress, (
-            "Tried to end_progress without start_progress")
-        if self.stdout_level_matches(self.NOTIFY):
-            if not self.in_progress_hanging:
-                # Some message has been printed out since start_progress
-                sys.stdout.write('...' + self.in_progress + msg + '\n')
-                sys.stdout.flush()
-            else:
-                sys.stdout.write(msg + '\n')
-                sys.stdout.flush()
-        self.in_progress = None
-        self.in_progress_hanging = False
-
-    def show_progress(self):
-        """If we are in a progress scope, and no log messages have been
-        shown, write out another '.'"""
-        if self.in_progress_hanging:
-            sys.stdout.write('.')
-            sys.stdout.flush()
-
-    def stdout_level_matches(self, level):
-        """Returns true if a message at this level will go to stdout"""
-        return self.level_matches(level, self._stdout_level())
-
-    def _stdout_level(self):
-        """Returns the level that stdout runs at"""
-        for level, consumer in self.consumers:
-            if consumer is sys.stdout:
-                return level
-        return self.FATAL
-
-    def level_matches(self, level, consumer_level):
-        """
-        >>> l = Logger([])
-        >>> l.level_matches(3, 4)
-        False
-        >>> l.level_matches(3, 2)
-        True
-        >>> l.level_matches(slice(None, 3), 3)
-        False
-        >>> l.level_matches(slice(None, 3), 2)
-        True
-        >>> l.level_matches(slice(1, 3), 1)
-        True
-        >>> l.level_matches(slice(2, 3), 1)
-        False
-        """
-        if isinstance(level, slice):
-            start, stop = level.start, level.stop
-            if start is not None and start > consumer_level:
-                return False
-            if stop is not None and stop <= consumer_level:
-                return False
-            return True
-        else:
-            return level >= consumer_level
-
-    #@classmethod
-    def level_for_integer(cls, level):
-        levels = cls.LEVELS
-        if level < 0:
-            return levels[0]
-        if level >= len(levels):
-            return levels[-1]
-        return levels[level]
-
-    level_for_integer = classmethod(level_for_integer)
-
-# create a silent logger just to prevent this from being undefined
-# will be overridden with requested verbosity main() is called.
-logger = Logger([(Logger.LEVELS[-1], sys.stdout)])
-
-def mkdir(path):
-    if not os.path.exists(path):
-        logger.info('Creating %s', path)
-        os.makedirs(path)
-    else:
-        logger.info('Directory %s already exists', path)
-
-def copyfileordir(src, dest):
-    if os.path.isdir(src):
-        shutil.copytree(src, dest, True)
-    else:
-        shutil.copy2(src, dest)
-
-def copyfile(src, dest, symlink=True):
-    if not os.path.exists(src):
-        # Some bad symlink in the src
-        logger.warn('Cannot find file %s (bad symlink)', src)
-        return
-    if os.path.exists(dest):
-        logger.debug('File %s already exists', dest)
-        return
-    if not os.path.exists(os.path.dirname(dest)):
-        logger.info('Creating parent directories for %s' % os.path.dirname(dest))
-        os.makedirs(os.path.dirname(dest))
-    if not os.path.islink(src):
-        srcpath = os.path.abspath(src)
-    else:
-        srcpath = os.readlink(src)
-    if symlink and hasattr(os, 'symlink') and not is_win:
-        logger.info('Symlinking %s', dest)
-        try:
-            os.symlink(srcpath, dest)
-        except (OSError, NotImplementedError):
-            logger.info('Symlinking failed, copying to %s', dest)
-            copyfileordir(src, dest)
-    else:
-        logger.info('Copying to %s', dest)
-        copyfileordir(src, dest)
-
-def writefile(dest, content, overwrite=True):
-    if not os.path.exists(dest):
-        logger.info('Writing %s', dest)
-        f = open(dest, 'wb')
-        f.write(content.encode('utf-8'))
-        f.close()
-        return
-    else:
-        f = open(dest, 'rb')
-        c = f.read()
-        f.close()
-        if c != content.encode("utf-8"):
-            if not overwrite:
-                logger.notify('File %s exists with different content; not overwriting', dest)
-                return
-            logger.notify('Overwriting %s with new content', dest)
-            f = open(dest, 'wb')
-            f.write(content.encode('utf-8'))
-            f.close()
-        else:
-            logger.info('Content %s already in place', dest)
-
-def rmtree(dir):
-    if os.path.exists(dir):
-        logger.notify('Deleting tree %s', dir)
-        shutil.rmtree(dir)
-    else:
-        logger.info('Do not need to delete %s; already gone', dir)
-
-def make_exe(fn):
-    if hasattr(os, 'chmod'):
-        oldmode = os.stat(fn).st_mode & 0xFFF # 0o7777
-        newmode = (oldmode | 0x16D) & 0xFFF # 0o555, 0o7777
-        os.chmod(fn, newmode)
-        logger.info('Changed mode of %s to %s', fn, oct(newmode))
-
-def _find_file(filename, dirs):
-    for dir in reversed(dirs):
-        files = glob.glob(os.path.join(dir, filename))
-        if files and os.path.isfile(files[0]):
-            return True, files[0]
-    return False, filename
-
-def _install_req(py_executable, unzip=False, distribute=False,
-                 search_dirs=None, never_download=False):
-
-    if search_dirs is None:
-        search_dirs = file_search_dirs()
-
-    if not distribute:
-        egg_path = 'setuptools-*-py%s.egg' % sys.version[:3]
-        found, egg_path = _find_file(egg_path, search_dirs)
-        project_name = 'setuptools'
-        bootstrap_script = EZ_SETUP_PY
-        tgz_path = None
-    else:
-        # Look for a distribute egg (these are not distributed by default,
-        # but can be made available by the user)
-        egg_path = 'distribute-*-py%s.egg' % sys.version[:3]
-        found, egg_path = _find_file(egg_path, search_dirs)
-        project_name = 'distribute'
-        if found:
-            tgz_path = None
-            bootstrap_script = DISTRIBUTE_FROM_EGG_PY
-        else:
-            # Fall back to sdist
-            # NB: egg_path is not None iff tgz_path is None
-            # iff bootstrap_script is a generic setup script accepting
-            # the standard arguments.
-            egg_path = None
-            tgz_path = 'distribute-*.tar.gz'
-            found, tgz_path = _find_file(tgz_path, search_dirs)
-            bootstrap_script = DISTRIBUTE_SETUP_PY
-
-    if is_jython and os._name == 'nt':
-        # Jython's .bat sys.executable can't handle a command line
-        # argument with newlines
-        fd, ez_setup = tempfile.mkstemp('.py')
-        os.write(fd, bootstrap_script)
-        os.close(fd)
-        cmd = [py_executable, ez_setup]
-    else:
-        cmd = [py_executable, '-c', bootstrap_script]
-    if unzip and egg_path:
-        cmd.append('--always-unzip')
-    env = {}
-    remove_from_env = ['__PYVENV_LAUNCHER__']
-    if logger.stdout_level_matches(logger.DEBUG) and egg_path:
-        cmd.append('-v')
-
-    old_chdir = os.getcwd()
-    if egg_path is not None and os.path.exists(egg_path):
-        logger.info('Using existing %s egg: %s' % (project_name, egg_path))
-        cmd.append(egg_path)
-        if os.environ.get('PYTHONPATH'):
-            env['PYTHONPATH'] = egg_path + os.path.pathsep + os.environ['PYTHONPATH']
-        else:
-            env['PYTHONPATH'] = egg_path
-    elif tgz_path is not None and os.path.exists(tgz_path):
-        # Found a tgz source dist, let's chdir
-        logger.info('Using existing %s egg: %s' % (project_name, tgz_path))
-        os.chdir(os.path.dirname(tgz_path))
-        # in this case, we want to be sure that PYTHONPATH is unset (not
-        # just empty, really unset), else CPython tries to import the
-        # site.py that it's in virtualenv_support
-        remove_from_env.append('PYTHONPATH')
-    elif never_download:
-        logger.fatal("Can't find any local distributions of %s to install "
-                     "and --never-download is set.  Either re-run virtualenv "
-                     "without the --never-download option, or place a %s "
-                     "distribution (%s) in one of these "
-                     "locations: %r" % (project_name, project_name,
-                                        egg_path or tgz_path,
-                                        search_dirs))
-        sys.exit(1)
-    elif egg_path:
-        logger.info('No %s egg found; downloading' % project_name)
-        cmd.extend(['--always-copy', '-U', project_name])
-    else:
-        logger.info('No %s tgz found; downloading' % project_name)
-    logger.start_progress('Installing %s...' % project_name)
-    logger.indent += 2
-    cwd = None
-    if project_name == 'distribute':
-        env['DONT_PATCH_SETUPTOOLS'] = 'true'
-
-    def _filter_ez_setup(line):
-        return filter_ez_setup(line, project_name)
-
-    if not os.access(os.getcwd(), os.W_OK):
-        cwd = tempfile.mkdtemp()
-        if tgz_path is not None and os.path.exists(tgz_path):
-            # the current working dir is hostile, let's copy the
-            # tarball to a temp dir
-            target = os.path.join(cwd, os.path.split(tgz_path)[-1])
-            shutil.copy(tgz_path, target)
-    try:
-        call_subprocess(cmd, show_stdout=False,
-                        filter_stdout=_filter_ez_setup,
-                        extra_env=env,
-                        remove_from_env=remove_from_env,
-                        cwd=cwd)
-    finally:
-        logger.indent -= 2
-        logger.end_progress()
-        if cwd is not None:
-            shutil.rmtree(cwd)
-        if os.getcwd() != old_chdir:
-            os.chdir(old_chdir)
-        if is_jython and os._name == 'nt':
-            os.remove(ez_setup)
-
-def file_search_dirs():
-    here = os.path.dirname(os.path.abspath(__file__))
-    dirs = ['.', here,
-            join(here, 'virtualenv_support')]
-    if os.path.splitext(os.path.dirname(__file__))[0] != 'virtualenv':
-        # Probably some boot script; just in case virtualenv is installed...
-        try:
-            import virtualenv
-        except ImportError:
-            pass
-        else:
-            dirs.append(os.path.join(os.path.dirname(virtualenv.__file__), 'virtualenv_support'))
-    return [d for d in dirs if os.path.isdir(d)]
-
-def install_setuptools(py_executable, unzip=False,
-                       search_dirs=None, never_download=False):
-    _install_req(py_executable, unzip,
-                 search_dirs=search_dirs, never_download=never_download)
-
-def install_distribute(py_executable, unzip=False,
-                       search_dirs=None, never_download=False):
-    _install_req(py_executable, unzip, distribute=True,
-                 search_dirs=search_dirs, never_download=never_download)
-
-_pip_re = re.compile(r'^pip-.*(zip|tar.gz|tar.bz2|tgz|tbz)$', re.I)
-def install_pip(py_executable, search_dirs=None, never_download=False):
-    if search_dirs is None:
-        search_dirs = file_search_dirs()
-
-    filenames = []
-    for dir in search_dirs:
-        filenames.extend([join(dir, fn) for fn in os.listdir(dir)
-                          if _pip_re.search(fn)])
-    filenames = [(os.path.basename(filename).lower(), i, filename) for i, filename in enumerate(filenames)]
-    filenames.sort()
-    filenames = [filename for basename, i, filename in filenames]
-    if not filenames:
-        filename = 'pip'
-    else:
-        filename = filenames[-1]
-    easy_install_script = 'easy_install'
-    if is_win:
-        easy_install_script = 'easy_install-script.py'
-    # There's two subtle issues here when invoking easy_install.
-    # 1. On unix-like systems the easy_install script can *only* be executed
-    #    directly if its full filesystem path is no longer than 78 characters.
-    # 2. A work around to [1] is to use the `python path/to/easy_install foo`
-    #    pattern, but that breaks if the path contains non-ASCII characters, as
-    #    you can't put the file encoding declaration before the shebang line.
-    # The solution is to use Python's -x flag to skip the first line of the
-    # script (and any ASCII decoding errors that may have occurred in that line)
-    cmd = [py_executable, '-x', join(os.path.dirname(py_executable), easy_install_script), filename]
-    # jython and pypy don't yet support -x
-    if is_jython or is_pypy:
-        cmd.remove('-x')
-    if filename == 'pip':
-        if never_download:
-            logger.fatal("Can't find any local distributions of pip to install "
-                         "and --never-download is set.  Either re-run virtualenv "
-                         "without the --never-download option, or place a pip "
-                         "source distribution (zip/tar.gz/tar.bz2) in one of these "
-                         "locations: %r" % search_dirs)
-            sys.exit(1)
-        logger.info('Installing pip from network...')
-    else:
-        logger.info('Installing existing %s distribution: %s' % (
-                os.path.basename(filename), filename))
-    logger.start_progress('Installing pip...')
-    logger.indent += 2
-    def _filter_setup(line):
-        return filter_ez_setup(line, 'pip')
-    try:
-        call_subprocess(cmd, show_stdout=False,
-                        filter_stdout=_filter_setup)
-    finally:
-        logger.indent -= 2
-        logger.end_progress()
-
-def filter_ez_setup(line, project_name='setuptools'):
-    if not line.strip():
-        return Logger.DEBUG
-    if project_name == 'distribute':
-        for prefix in ('Extracting', 'Now working', 'Installing', 'Before',
-                       'Scanning', 'Setuptools', 'Egg', 'Already',
-                       'running', 'writing', 'reading', 'installing',
-                       'creating', 'copying', 'byte-compiling', 'removing',
-                       'Processing'):
-            if line.startswith(prefix):
-                return Logger.DEBUG
-        return Logger.DEBUG
-    for prefix in ['Reading ', 'Best match', 'Processing setuptools',
-                   'Copying setuptools', 'Adding setuptools',
-                   'Installing ', 'Installed ']:
-        if line.startswith(prefix):
-            return Logger.DEBUG
-    return Logger.INFO
-
-
-class UpdatingDefaultsHelpFormatter(optparse.IndentedHelpFormatter):
-    """
-    Custom help formatter for use in ConfigOptionParser that updates
-    the defaults before expanding them, allowing them to show up correctly
-    in the help listing
-    """
-    def expand_default(self, option):
-        if self.parser is not None:
-            self.parser.update_defaults(self.parser.defaults)
-        return optparse.IndentedHelpFormatter.expand_default(self, option)
-
-
-class ConfigOptionParser(optparse.OptionParser):
-    """
-    Custom option parser which updates its defaults by by checking the
-    configuration files and environmental variables
-    """
-    def __init__(self, *args, **kwargs):
-        self.config = ConfigParser.RawConfigParser()
-        self.files = self.get_config_files()
-        self.config.read(self.files)
-        optparse.OptionParser.__init__(self, *args, **kwargs)
-
-    def get_config_files(self):
-        config_file = os.environ.get('VIRTUALENV_CONFIG_FILE', False)
-        if config_file and os.path.exists(config_file):
-            return [config_file]
-        return [default_config_file]
-
-    def update_defaults(self, defaults):
-        """
-        Updates the given defaults with values from the config files and
-        the environ. Does a little special handling for certain types of
-        options (lists).
-        """
-        # Then go and look for the other sources of configuration:
-        config = {}
-        # 1. config files
-        config.update(dict(self.get_config_section('virtualenv')))
-        # 2. environmental variables
-        config.update(dict(self.get_environ_vars()))
-        # Then set the options with those values
-        for key, val in config.items():
-            key = key.replace('_', '-')
-            if not key.startswith('--'):
-                key = '--%s' % key  # only prefer long opts
-            option = self.get_option(key)
-            if option is not None:
-                # ignore empty values
-                if not val:
-                    continue
-                # handle multiline configs
-                if option.action == 'append':
-                    val = val.split()
-                else:
-                    option.nargs = 1
-                if option.action == 'store_false':
-                    val = not strtobool(val)
-                elif option.action in ('store_true', 'count'):
-                    val = strtobool(val)
-                try:
-                    val = option.convert_value(key, val)
-                except optparse.OptionValueError:
-                    e = sys.exc_info()[1]
-                    print("An error occured during configuration: %s" % e)
-                    sys.exit(3)
-                defaults[option.dest] = val
-        return defaults
-
-    def get_config_section(self, name):
-        """
-        Get a section of a configuration
-        """
-        if self.config.has_section(name):
-            return self.config.items(name)
-        return []
-
-    def get_environ_vars(self, prefix='VIRTUALENV_'):
-        """
-        Returns a generator with all environmental vars with prefix VIRTUALENV
-        """
-        for key, val in os.environ.items():
-            if key.startswith(prefix):
-                yield (key.replace(prefix, '').lower(), val)
-
-    def get_default_values(self):
-        """
-        Overridding to make updating the defaults after instantiation of
-        the option parser possible, update_defaults() does the dirty work.
-        """
-        if not self.process_default_values:
-            # Old, pre-Optik 1.5 behaviour.
-            return optparse.Values(self.defaults)
-
-        defaults = self.update_defaults(self.defaults.copy())  # ours
-        for option in self._get_all_options():
-            default = defaults.get(option.dest)
-            if isinstance(default, basestring):
-                opt_str = option.get_opt_string()
-                defaults[option.dest] = option.check_value(opt_str, default)
-        return optparse.Values(defaults)
-
-
-def main():
-    parser = ConfigOptionParser(
-        version=virtualenv_version,
-        usage="%prog [OPTIONS] DEST_DIR",
-        formatter=UpdatingDefaultsHelpFormatter())
-
-    parser.add_option(
-        '-v', '--verbose',
-        action='count',
-        dest='verbose',
-        default=0,
-        help="Increase verbosity")
-
-    parser.add_option(
-        '-q', '--quiet',
-        action='count',
-        dest='quiet',
-        default=0,
-        help='Decrease verbosity')
-
-    parser.add_option(
-        '-p', '--python',
-        dest='python',
-        metavar='PYTHON_EXE',
-        help='The Python interpreter to use, e.g., --python=python2.5 will use the python2.5 '
-        'interpreter to create the new environment.  The default is the interpreter that '
-        'virtualenv was installed with (%s)' % sys.executable)
-
-    parser.add_option(
-        '--clear',
-        dest='clear',
-        action='store_true',
-        help="Clear out the non-root install and start from scratch")
-
-    parser.set_defaults(system_site_packages=False)
-    parser.add_option(
-        '--no-site-packages',
-        dest='system_site_packages',
-        action='store_false',
-        help="Don't give access to the global site-packages dir to the "
-             "virtual environment (default)")
-
-    parser.add_option(
-        '--system-site-packages',
-        dest='system_site_packages',
-        action='store_true',
-        help="Give access to the global site-packages dir to the "
-             "virtual environment")
-
-    parser.add_option(
-        '--unzip-setuptools',
-        dest='unzip_setuptools',
-        action='store_true',
-        help="Unzip Setuptools or Distribute when installing it")
-
-    parser.add_option(
-        '--relocatable',
-        dest='relocatable',
-        action='store_true',
-        help='Make an EXISTING virtualenv environment relocatable.  '
-        'This fixes up scripts and makes all .pth files relative')
-
-    parser.add_option(
-        '--distribute', '--use-distribute',  # the second option is for legacy reasons here. Hi Kenneth!
-        dest='use_distribute',
-        action='store_true',
-        help='Use Distribute instead of Setuptools. Set environ variable '
-        'VIRTUALENV_DISTRIBUTE to make it the default ')
-
-    parser.add_option(
-        '--no-setuptools',
-        dest='no_setuptools',
-        action='store_true',
-        help='Do not install distribute/setuptools (or pip) '
-        'in the new virtualenv.')
-
-    parser.add_option(
-        '--no-pip',
-        dest='no_pip',
-        action='store_true',
-        help='Do not install pip in the new virtualenv.')
-
-    parser.add_option(
-        '--setuptools',
-        dest='use_distribute',
-        action='store_false',
-        help='Use Setuptools instead of Distribute.  Set environ variable '
-        'VIRTUALENV_SETUPTOOLS to make it the default ')
-
-    # Set this to True to use distribute by default, even in Python 2.
-    parser.set_defaults(use_distribute=False)
-
-    default_search_dirs = file_search_dirs()
-    parser.add_option(
-        '--extra-search-dir',
-        dest="search_dirs",
-        action="append",
-        default=default_search_dirs,
-        help="Directory to look for setuptools/distribute/pip distributions in. "
-        "You can add any number of additional --extra-search-dir paths.")
-
-    parser.add_option(
-        '--never-download',
-        dest="never_download",
-        action="store_true",
-        help="Never download anything from the network.  Instead, virtualenv will fail "
-        "if local distributions of setuptools/distribute/pip are not present.")
-
-    parser.add_option(
-        '--prompt',
-        dest='prompt',
-        help='Provides an alternative prompt prefix for this environment')
-
-    if 'extend_parser' in globals():
-        extend_parser(parser)
-
-    options, args = parser.parse_args()
-
-    global logger
-
-    if 'adjust_options' in globals():
-        adjust_options(options, args)
-
-    verbosity = options.verbose - options.quiet
-    logger = Logger([(Logger.level_for_integer(2 - verbosity), sys.stdout)])
-
-    if options.python and not os.environ.get('VIRTUALENV_INTERPRETER_RUNNING'):
-        env = os.environ.copy()
-        interpreter = resolve_interpreter(options.python)
-        if interpreter == sys.executable:
-            logger.warn('Already using interpreter %s' % interpreter)
-        else:
-            logger.notify('Running virtualenv with interpreter %s' % interpreter)
-            env['VIRTUALENV_INTERPRETER_RUNNING'] = 'true'
-            file = __file__
-            if file.endswith('.pyc'):
-                file = file[:-1]
-            popen = subprocess.Popen([interpreter, file] + sys.argv[1:], env=env)
-            raise SystemExit(popen.wait())
-
-    # Force --distribute on Python 3, since setuptools is not available.
-    if majver > 2:
-        options.use_distribute = True
-
-    if os.environ.get('PYTHONDONTWRITEBYTECODE') and not options.use_distribute:
-        print(
-            "The PYTHONDONTWRITEBYTECODE environment variable is "
-            "not compatible with setuptools. Either use --distribute "
-            "or unset PYTHONDONTWRITEBYTECODE.")
-        sys.exit(2)
-    if not args:
-        print('You must provide a DEST_DIR')
-        parser.print_help()
-        sys.exit(2)
-    if len(args) > 1:
-        print('There must be only one argument: DEST_DIR (you gave %s)' % (
-            ' '.join(args)))
-        parser.print_help()
-        sys.exit(2)
-
-    home_dir = args[0]
-
-    if os.environ.get('WORKING_ENV'):
-        logger.fatal('ERROR: you cannot run virtualenv while in a workingenv')
-        logger.fatal('Please deactivate your workingenv, then re-run this script')
-        sys.exit(3)
-
-    if 'PYTHONHOME' in os.environ:
-        logger.warn('PYTHONHOME is set.  You *must* activate the virtualenv before using it')
-        del os.environ['PYTHONHOME']
-
-    if options.relocatable:
-        make_environment_relocatable(home_dir)
-        return
-
-    create_environment(home_dir,
-                       site_packages=options.system_site_packages,
-                       clear=options.clear,
-                       unzip_setuptools=options.unzip_setuptools,
-                       use_distribute=options.use_distribute,
-                       prompt=options.prompt,
-                       search_dirs=options.search_dirs,
-                       never_download=options.never_download,
-                       no_setuptools=options.no_setuptools,
-                       no_pip=options.no_pip)
-    if 'after_install' in globals():
-        after_install(options, home_dir)
-
-def call_subprocess(cmd, show_stdout=True,
-                    filter_stdout=None, cwd=None,
-                    raise_on_returncode=True, extra_env=None,
-                    remove_from_env=None):
-    cmd_parts = []
-    for part in cmd:
-        if len(part) > 45:
-            part = part[:20]+"..."+part[-20:]
-        if ' ' in part or '\n' in part or '"' in part or "'" in part:
-            part = '"%s"' % part.replace('"', '\\"')
-        if hasattr(part, 'decode'):
-            try:
-                part = part.decode(sys.getdefaultencoding())
-            except UnicodeDecodeError:
-                part = part.decode(sys.getfilesystemencoding())
-        cmd_parts.append(part)
-    cmd_desc = ' '.join(cmd_parts)
-    if show_stdout:
-        stdout = None
-    else:
-        stdout = subprocess.PIPE
-    logger.debug("Running command %s" % cmd_desc)
-    if extra_env or remove_from_env:
-        env = os.environ.copy()
-        if extra_env:
-            env.update(extra_env)
-        if remove_from_env:
-            for varname in remove_from_env:
-                env.pop(varname, None)
-    else:
-        env = None
-    try:
-        proc = subprocess.Popen(
-            cmd, stderr=subprocess.STDOUT, stdin=None, stdout=stdout,
-            cwd=cwd, env=env)
-    except Exception:
-        e = sys.exc_info()[1]
-        logger.fatal(
-            "Error %s while executing command %s" % (e, cmd_desc))
-        raise
-    all_output = []
-    if stdout is not None:
-        stdout = proc.stdout
-        encoding = sys.getdefaultencoding()
-        fs_encoding = sys.getfilesystemencoding()
-        while 1:
-            line = stdout.readline()
-            try:
-                line = line.decode(encoding)
-            except UnicodeDecodeError:
-                line = line.decode(fs_encoding)
-            if not line:
-                break
-            line = line.rstrip()
-            all_output.append(line)
-            if filter_stdout:
-                level = filter_stdout(line)
-                if isinstance(level, tuple):
-                    level, line = level
-                logger.log(level, line)
-                if not logger.stdout_level_matches(level):
-                    logger.show_progress()
-            else:
-                logger.info(line)
-    else:
-        proc.communicate()
-    proc.wait()
-    if proc.returncode:
-        if raise_on_returncode:
-            if all_output:
-                logger.notify('Complete output from command %s:' % cmd_desc)
-                logger.notify('\n'.join(all_output) + '\n----------------------------------------')
-            raise OSError(
-                "Command %s failed with error code %s"
-                % (cmd_desc, proc.returncode))
-        else:
-            logger.warn(
-                "Command %s had error code %s"
-                % (cmd_desc, proc.returncode))
-
-
-def create_environment(home_dir, site_packages=False, clear=False,
-                       unzip_setuptools=False, use_distribute=False,
-                       prompt=None, search_dirs=None, never_download=False,
-                       no_setuptools=False, no_pip=False):
-    """
-    Creates a new environment in ``home_dir``.
-
-    If ``site_packages`` is true, then the global ``site-packages/``
-    directory will be on the path.
-
-    If ``clear`` is true (default False) then the environment will
-    first be cleared.
-    """
-    home_dir, lib_dir, inc_dir, bin_dir = path_locations(home_dir)
-
-    py_executable = os.path.abspath(install_python(
-        home_dir, lib_dir, inc_dir, bin_dir,
-        site_packages=site_packages, clear=clear))
-
-    install_distutils(home_dir)
-
-    if not no_setuptools:
-        if use_distribute:
-            install_distribute(py_executable, unzip=unzip_setuptools,
-                               search_dirs=search_dirs, never_download=never_download)
-        else:
-            install_setuptools(py_executable, unzip=unzip_setuptools,
-                               search_dirs=search_dirs, never_download=never_download)
-
-        if not no_pip:
-            install_pip(py_executable, search_dirs=search_dirs, never_download=never_download)
-
-    install_activate(home_dir, bin_dir, prompt)
-
-def is_executable_file(fpath):
-    return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
-
-def path_locations(home_dir):
-    """Return the path locations for the environment (where libraries are,
-    where scripts go, etc)"""
-    # XXX: We'd use distutils.sysconfig.get_python_inc/lib but its
-    # prefix arg is broken: http://bugs.python.org/issue3386
-    if is_win:
-        # Windows has lots of problems with executables with spaces in
-        # the name; this function will remove them (using the ~1
-        # format):
-        mkdir(home_dir)
-        if ' ' in home_dir:
-            import ctypes
-            GetShortPathName = ctypes.windll.kernel32.GetShortPathNameW
-            size = max(len(home_dir)+1, 256)
-            buf = ctypes.create_unicode_buffer(size)
-            try:
-                u = unicode
-            except NameError:
-                u = str
-            ret = GetShortPathName(u(home_dir), buf, size)
-            if not ret:
-                print('Error: the path "%s" has a space in it' % home_dir)
-                print('We could not determine the short pathname for it.')
-                print('Exiting.')
-                sys.exit(3)
-            home_dir = str(buf.value)
-        lib_dir = join(home_dir, 'Lib')
-        inc_dir = join(home_dir, 'Include')
-        bin_dir = join(home_dir, 'Scripts')
-    if is_jython:
-        lib_dir = join(home_dir, 'Lib')
-        inc_dir = join(home_dir, 'Include')
-        bin_dir = join(home_dir, 'bin')
-    elif is_pypy:
-        lib_dir = home_dir
-        inc_dir = join(home_dir, 'include')
-        bin_dir = join(home_dir, 'bin')
-    elif not is_win:
-        lib_dir = join(home_dir, 'lib', py_version)
-        multiarch_exec = '/usr/bin/multiarch-platform'
-        if is_executable_file(multiarch_exec):
-            # In Mageia (2) and Mandriva distros the include dir must be like:
-            # virtualenv/include/multiarch-x86_64-linux/python2.7
-            # instead of being virtualenv/include/python2.7
-            p = subprocess.Popen(multiarch_exec, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-            stdout, stderr = p.communicate()
-            # stdout.strip is needed to remove newline character
-            inc_dir = join(home_dir, 'include', stdout.strip(), py_version + abiflags)
-        else:
-            inc_dir = join(home_dir, 'include', py_version + abiflags)
-        bin_dir = join(home_dir, 'bin')
-    return home_dir, lib_dir, inc_dir, bin_dir
-
-
-def change_prefix(filename, dst_prefix):
-    prefixes = [sys.prefix]
-
-    if is_darwin:
-        prefixes.extend((
-            os.path.join("/Library/Python", sys.version[:3], "site-packages"),
-            os.path.join(sys.prefix, "Extras", "lib", "python"),
-            os.path.join("~", "Library", "Python", sys.version[:3], "site-packages"),
-            # Python 2.6 no-frameworks
-            os.path.join("~", ".local", "lib","python", sys.version[:3], "site-packages"),
-            # System Python 2.7 on OSX Mountain Lion
-            os.path.join("~", "Library", "Python", sys.version[:3], "lib", "python", "site-packages")))
-
-    if hasattr(sys, 'real_prefix'):
-        prefixes.append(sys.real_prefix)
-    if hasattr(sys, 'base_prefix'):
-        prefixes.append(sys.base_prefix)
-    prefixes = list(map(os.path.expanduser, prefixes))
-    prefixes = list(map(os.path.abspath, prefixes))
-    # Check longer prefixes first so we don't split in the middle of a filename
-    prefixes = sorted(prefixes, key=len, reverse=True)
-    filename = os.path.abspath(filename)
-    for src_prefix in prefixes:
-        if filename.startswith(src_prefix):
-            _, relpath = filename.split(src_prefix, 1)
-            if src_prefix != os.sep: # sys.prefix == "/"
-                assert relpath[0] == os.sep
-                relpath = relpath[1:]
-            return join(dst_prefix, relpath)
-    assert False, "Filename %s does not start with any of these prefixes: %s" % \
-        (filename, prefixes)
-
-def copy_required_modules(dst_prefix):
-    import imp
-    # If we are running under -p, we need to remove the current
-    # directory from sys.path temporarily here, so that we
-    # definitely get the modules from the site directory of
-    # the interpreter we are running under, not the one
-    # virtualenv.py is installed under (which might lead to py2/py3
-    # incompatibility issues)
-    _prev_sys_path = sys.path
-    if os.environ.get('VIRTUALENV_INTERPRETER_RUNNING'):
-        sys.path = sys.path[1:]
-    try:
-        for modname in REQUIRED_MODULES:
-            if modname in sys.builtin_module_names:
-                logger.info("Ignoring built-in bootstrap module: %s" % modname)
-                continue
-            try:
-                f, filename, _ = imp.find_module(modname)
-            except ImportError:
-                logger.info("Cannot import bootstrap module: %s" % modname)
-            else:
-                if f is not None:
-                    f.close()
-                # special-case custom readline.so on OS X, but not for pypy:
-                if modname == 'readline' and sys.platform == 'darwin' and not (
-                        is_pypy or filename.endswith(join('lib-dynload', 'readline.so'))):
-                    dst_filename = join(dst_prefix, 'lib', 'python%s' % sys.version[:3], 'readline.so')
-                else:
-                    dst_filename = change_prefix(filename, dst_prefix)
-                copyfile(filename, dst_filename)
-                if filename.endswith('.pyc'):
-                    pyfile = filename[:-1]
-                    if os.path.exists(pyfile):
-                        copyfile(pyfile, dst_filename[:-1])
-    finally:
-        sys.path = _prev_sys_path
-
-
-def subst_path(prefix_path, prefix, home_dir):
-    prefix_path = os.path.normpath(prefix_path)
-    prefix = os.path.normpath(prefix)
-    home_dir = os.path.normpath(home_dir)
-    if not prefix_path.startswith(prefix):
-        logger.warn('Path not in prefix %r %r', prefix_path, prefix)
-        return
-    return prefix_path.replace(prefix, home_dir, 1)
-
-
-def install_python(home_dir, lib_dir, inc_dir, bin_dir, site_packages, clear):
-    """Install just the base environment, no distutils patches etc"""
-    if sys.executable.startswith(bin_dir):
-        print('Please use the *system* python to run this script')
-        return
-
-    if clear:
-        rmtree(lib_dir)
-        ## FIXME: why not delete it?
-        ## Maybe it should delete everything with #!/path/to/venv/python in it
-        logger.notify('Not deleting %s', bin_dir)
-
-    if hasattr(sys, 'real_prefix'):
-        logger.notify('Using real prefix %r' % sys.real_prefix)
-        prefix = sys.real_prefix
-    elif hasattr(sys, 'base_prefix'):
-        logger.notify('Using base prefix %r' % sys.base_prefix)
-        prefix = sys.base_prefix
-    else:
-        prefix = sys.prefix
-    mkdir(lib_dir)
-    fix_lib64(lib_dir)
-    stdlib_dirs = [os.path.dirname(os.__file__)]
-    if is_win:
-        stdlib_dirs.append(join(os.path.dirname(stdlib_dirs[0]), 'DLLs'))
-    elif is_darwin:
-        stdlib_dirs.append(join(stdlib_dirs[0], 'site-packages'))
-    if hasattr(os, 'symlink'):
-        logger.info('Symlinking Python bootstrap modules')
-    else:
-        logger.info('Copying Python bootstrap modules')
-    logger.indent += 2
-    try:
-        # copy required files...
-        for stdlib_dir in stdlib_dirs:
-            if not os.path.isdir(stdlib_dir):
-                continue
-            for fn in os.listdir(stdlib_dir):
-                bn = os.path.splitext(fn)[0]
-                if fn != 'site-packages' and bn in REQUIRED_FILES:
-                    copyfile(join(stdlib_dir, fn), join(lib_dir, fn))
-        # ...and modules
-        copy_required_modules(home_dir)
-    finally:
-        logger.indent -= 2
-    mkdir(join(lib_dir, 'site-packages'))
-    import site
-    site_filename = site.__file__
-    if site_filename.endswith('.pyc'):
-        site_filename = site_filename[:-1]
-    elif site_filename.endswith('$py.class'):
-        site_filename = site_filename.replace('$py.class', '.py')
-    site_filename_dst = change_prefix(site_filename, home_dir)
-    site_dir = os.path.dirname(site_filename_dst)
-    writefile(site_filename_dst, SITE_PY)
-    writefile(join(site_dir, 'orig-prefix.txt'), prefix)
-    site_packages_filename = join(site_dir, 'no-global-site-packages.txt')
-    if not site_packages:
-        writefile(site_packages_filename, '')
-
-    if is_pypy or is_win:
-        stdinc_dir = join(prefix, 'include')
-    else:
-        stdinc_dir = join(prefix, 'include', py_version + abiflags)
-    if os.path.exists(stdinc_dir):
-        copyfile(stdinc_dir, inc_dir)
-    else:
-        logger.debug('No include dir %s' % stdinc_dir)
-
-    platinc_dir = distutils.sysconfig.get_python_inc(plat_specific=1)
-    if platinc_dir != stdinc_dir:
-        platinc_dest = distutils.sysconfig.get_python_inc(
-            plat_specific=1, prefix=home_dir)
-        if platinc_dir == platinc_dest:
-            # Do platinc_dest manually due to a CPython bug;
-            # not http://bugs.python.org/issue3386 but a close cousin
-            platinc_dest = subst_path(platinc_dir, prefix, home_dir)
-        if platinc_dest:
-            # PyPy's stdinc_dir and prefix are relative to the original binary
-            # (traversing virtualenvs), whereas the platinc_dir is relative to
-            # the inner virtualenv and ignores the prefix argument.
-            # This seems more evolved than designed.
-            copyfile(platinc_dir, platinc_dest)
-
-    # pypy never uses exec_prefix, just ignore it
-    if sys.exec_prefix != prefix and not is_pypy:
-        if is_win:
-            exec_dir = join(sys.exec_prefix, 'lib')
-        elif is_jython:
-            exec_dir = join(sys.exec_prefix, 'Lib')
-        else:
-            exec_dir = join(sys.exec_prefix, 'lib', py_version)
-        for fn in os.listdir(exec_dir):
-            copyfile(join(exec_dir, fn), join(lib_dir, fn))
-
-    if is_jython:
-        # Jython has either jython-dev.jar and javalib/ dir, or just
-        # jython.jar
-        for name in 'jython-dev.jar', 'javalib', 'jython.jar':
-            src = join(prefix, name)
-            if os.path.exists(src):
-                copyfile(src, join(home_dir, name))
-        # XXX: registry should always exist after Jython 2.5rc1
-        src = join(prefix, 'registry')
-        if os.path.exists(src):
-            copyfile(src, join(home_dir, 'registry'), symlink=False)
-        copyfile(join(prefix, 'cachedir'), join(home_dir, 'cachedir'),
-                 symlink=False)
-
-    mkdir(bin_dir)
-    py_executable = join(bin_dir, os.path.basename(sys.executable))
-    if 'Python.framework' in prefix:
-        # OS X framework builds cause validation to break
-        # https://github.com/pypa/virtualenv/issues/322
-        if os.environ.get('__PYVENV_LAUNCHER__'):
-          os.unsetenv('__PYVENV_LAUNCHER__')
-        if re.search(r'/Python(?:-32|-64)*$', py_executable):
-            # The name of the python executable is not quite what
-            # we want, rename it.
-            py_executable = os.path.join(
-                    os.path.dirname(py_executable), 'python')
-
-    logger.notify('New %s executable in %s', expected_exe, py_executable)
-    pcbuild_dir = os.path.dirname(sys.executable)
-    pyd_pth = os.path.join(lib_dir, 'site-packages', 'virtualenv_builddir_pyd.pth')
-    if is_win and os.path.exists(os.path.join(pcbuild_dir, 'build.bat')):
-        logger.notify('Detected python running from build directory %s', pcbuild_dir)
-        logger.notify('Writing .pth file linking to build directory for *.pyd files')
-        writefile(pyd_pth, pcbuild_dir)
-    else:
-        pcbuild_dir = None
-        if os.path.exists(pyd_pth):
-            logger.info('Deleting %s (not Windows env or not build directory python)' % pyd_pth)
-            os.unlink(pyd_pth)
-
-    if sys.executable != py_executable:
-        ## FIXME: could I just hard link?
-        executable = sys.executable
-        shutil.copyfile(executable, py_executable)
-        make_exe(py_executable)
-        if is_win or is_cygwin:
-            pythonw = os.path.join(os.path.dirname(sys.executable), 'pythonw.exe')
-            if os.path.exists(pythonw):
-                logger.info('Also created pythonw.exe')
-                shutil.copyfile(pythonw, os.path.join(os.path.dirname(py_executable), 'pythonw.exe'))
-            python_d = os.path.join(os.path.dirname(sys.executable), 'python_d.exe')
-            python_d_dest = os.path.join(os.path.dirname(py_executable), 'python_d.exe')
-            if os.path.exists(python_d):
-                logger.info('Also created python_d.exe')
-                shutil.copyfile(python_d, python_d_dest)
-            elif os.path.exists(python_d_dest):
-                logger.info('Removed python_d.exe as it is no longer at the source')
-                os.unlink(python_d_dest)
-            # we need to copy the DLL to enforce that windows will load the correct one.
-            # may not exist if we are cygwin.
-            py_executable_dll = 'python%s%s.dll' % (
-                sys.version_info[0], sys.version_info[1])
-            py_executable_dll_d = 'python%s%s_d.dll' % (
-                sys.version_info[0], sys.version_info[1])
-            pythondll = os.path.join(os.path.dirname(sys.executable), py_executable_dll)
-            pythondll_d = os.path.join(os.path.dirname(sys.executable), py_executable_dll_d)
-            pythondll_d_dest = os.path.join(os.path.dirname(py_executable), py_executable_dll_d)
-            if os.path.exists(pythondll):
-                logger.info('Also created %s' % py_executable_dll)
-                shutil.copyfile(pythondll, os.path.join(os.path.dirname(py_executable), py_executable_dll))
-            if os.path.exists(pythondll_d):
-                logger.info('Also created %s' % py_executable_dll_d)
-                shutil.copyfile(pythondll_d, pythondll_d_dest)
-            elif os.path.exists(pythondll_d_dest):
-                logger.info('Removed %s as the source does not exist' % pythondll_d_dest)
-                os.unlink(pythondll_d_dest)
-        if is_pypy:
-            # make a symlink python --> pypy-c
-            python_executable = os.path.join(os.path.dirname(py_executable), 'python')
-            if sys.platform in ('win32', 'cygwin'):
-                python_executable += '.exe'
-            logger.info('Also created executable %s' % python_executable)
-            copyfile(py_executable, python_executable)
-
-            if is_win:
-                for name in 'libexpat.dll', 'libpypy.dll', 'libpypy-c.dll', 'libeay32.dll', 'ssleay32.dll', 'sqlite.dll':
-                    src = join(prefix, name)
-                    if os.path.exists(src):
-                        copyfile(src, join(bin_dir, name))
-
-    if os.path.splitext(os.path.basename(py_executable))[0] != expected_exe:
-        secondary_exe = os.path.join(os.path.dirname(py_executable),
-                                     expected_exe)
-        py_executable_ext = os.path.splitext(py_executable)[1]
-        if py_executable_ext == '.exe':
-            # python2.4 gives an extension of '.4' :P
-            secondary_exe += py_executable_ext
-        if os.path.exists(secondary_exe):
-            logger.warn('Not overwriting existing %s script %s (you must use %s)'
-                        % (expected_exe, secondary_exe, py_executable))
-        else:
-            logger.notify('Also creating executable in %s' % secondary_exe)
-            shutil.copyfile(sys.executable, secondary_exe)
-            make_exe(secondary_exe)
-
-    if '.framework' in prefix:
-        if 'Python.framework' in prefix:
-            logger.debug('MacOSX Python framework detected')
-            # Make sure we use the the embedded interpreter inside
-            # the framework, even if sys.executable points to
-            # the stub executable in ${sys.prefix}/bin
-            # See http://groups.google.com/group/python-virtualenv/
-            #                              browse_thread/thread/17cab2f85da75951
-            original_python = os.path.join(
-                prefix, 'Resources/Python.app/Contents/MacOS/Python')
-        if 'EPD' in prefix:
-            logger.debug('EPD framework detected')
-            original_python = os.path.join(prefix, 'bin/python')
-        shutil.copy(original_python, py_executable)
-
-        # Copy the framework's dylib into the virtual
-        # environment
-        virtual_lib = os.path.join(home_dir, '.Python')
-
-        if os.path.exists(virtual_lib):
-            os.unlink(virtual_lib)
-        copyfile(
-            os.path.join(prefix, 'Python'),
-            virtual_lib)
-
-        # And then change the install_name of the copied python executable
-        try:
-            mach_o_change(py_executable,
-                          os.path.join(prefix, 'Python'),
-                          '@executable_path/../.Python')
-        except:
-            e = sys.exc_info()[1]
-            logger.warn("Could not call mach_o_change: %s. "
-                        "Trying to call install_name_tool instead." % e)
-            try:
-                call_subprocess(
-                    ["install_name_tool", "-change",
-                     os.path.join(prefix, 'Python'),
-                     '@executable_path/../.Python',
-                     py_executable])
-            except:
-                logger.fatal("Could not call install_name_tool -- you must "
-                             "have Apple's development tools installed")
-                raise
-
-    if not is_win:
-        # Ensure that 'python', 'pythonX' and 'pythonX.Y' all exist
-        py_exe_version_major = 'python%s' % sys.version_info[0]
-        py_exe_version_major_minor = 'python%s.%s' % (
-            sys.version_info[0], sys.version_info[1])
-        py_exe_no_version = 'python'
-        required_symlinks = [ py_exe_no_version, py_exe_version_major,
-                         py_exe_version_major_minor ]
-
-        py_executable_base = os.path.basename(py_executable)
-
-        if py_executable_base in required_symlinks:
-            # Don't try to symlink to yourself.
-            required_symlinks.remove(py_executable_base)
-
-        for pth in required_symlinks:
-            full_pth = join(bin_dir, pth)
-            if os.path.exists(full_pth):
-                os.unlink(full_pth)
-            os.symlink(py_executable_base, full_pth)
-
-    if is_win and ' ' in py_executable:
-        # There's a bug with subprocess on Windows when using a first
-        # argument that has a space in it.  Instead we have to quote
-        # the value:
-        py_executable = '"%s"' % py_executable
-    # NOTE: keep this check as one line, cmd.exe doesn't cope with line breaks
-    cmd = [py_executable, '-c', 'import sys;out=sys.stdout;'
-        'getattr(out, "buffer", out).write(sys.prefix.encode("utf-8"))']
-    logger.info('Testing executable with %s %s "%s"' % tuple(cmd))
-    try:
-        proc = subprocess.Popen(cmd,
-                            stdout=subprocess.PIPE)
-        proc_stdout, proc_stderr = proc.communicate()
-    except OSError:
-        e = sys.exc_info()[1]
-        if e.errno == errno.EACCES:
-            logger.fatal('ERROR: The executable %s could not be run: %s' % (py_executable, e))
-            sys.exit(100)
-        else:
-            raise e
-
-    proc_stdout = proc_stdout.strip().decode("utf-8")
-    proc_stdout = os.path.normcase(os.path.abspath(proc_stdout))
-    norm_home_dir = os.path.normcase(os.path.abspath(home_dir))
-    if hasattr(norm_home_dir, 'decode'):
-        norm_home_dir = norm_home_dir.decode(sys.getfilesystemencoding())
-    if proc_stdout != norm_home_dir:
-        logger.fatal(
-            'ERROR: The executable %s is not functioning' % py_executable)
-        logger.fatal(
-            'ERROR: It thinks sys.prefix is %r (should be %r)'
-            % (proc_stdout, norm_home_dir))
-        logger.fatal(
-            'ERROR: virtualenv is not compatible with this system or executable')
-        if is_win:
-            logger.fatal(
-                'Note: some Windows users have reported this error when they '
-                'installed Python for "Only this user" or have multiple '
-                'versions of Python installed. Copying the appropriate '
-                'PythonXX.dll to the virtualenv Scripts/ directory may fix '
-                'this problem.')
-        sys.exit(100)
-    else:
-        logger.info('Got sys.prefix result: %r' % proc_stdout)
-
-    pydistutils = os.path.expanduser('~/.pydistutils.cfg')
-    if os.path.exists(pydistutils):
-        logger.notify('Please make sure you remove any previous custom paths from '
-                      'your %s file.' % pydistutils)
-    ## FIXME: really this should be calculated earlier
-
-    fix_local_scheme(home_dir)
-
-    if site_packages:
-        if os.path.exists(site_packages_filename):
-            logger.info('Deleting %s' % site_packages_filename)
-            os.unlink(site_packages_filename)
-
-    return py_executable
-
-
-def install_activate(home_dir, bin_dir, prompt=None):
-    home_dir = os.path.abspath(home_dir)
-    if is_win or is_jython and os._name == 'nt':
-        files = {
-            'activate.bat': ACTIVATE_BAT,
-            'deactivate.bat': DEACTIVATE_BAT,
-            'activate.ps1': ACTIVATE_PS,
-        }
-
-        # MSYS needs paths of the form /c/path/to/file
-        drive, tail = os.path.splitdrive(home_dir.replace(os.sep, '/'))
-        home_dir_msys = (drive and "/%s%s" or "%s%s") % (drive[:1], tail)
-
-        # Run-time conditional enables (basic) Cygwin compatibility
-        home_dir_sh = ("""$(if [ "$OSTYPE" "==" "cygwin" ]; then cygpath -u '%s'; else echo '%s'; fi;)""" %
-                       (home_dir, home_dir_msys))
-        files['activate'] = ACTIVATE_SH.replace('__VIRTUAL_ENV__', home_dir_sh)
-
-    else:
-        files = {'activate': ACTIVATE_SH}
-
-        # suppling activate.fish in addition to, not instead of, the
-        # bash script support.
-        files['activate.fish'] = ACTIVATE_FISH
-
-        # same for csh/tcsh support...
-        files['activate.csh'] = ACTIVATE_CSH
-
-    files['activate_this.py'] = ACTIVATE_THIS
-    if hasattr(home_dir, 'decode'):
-        home_dir = home_dir.decode(sys.getfilesystemencoding())
-    vname = os.path.basename(home_dir)
-    for name, content in files.items():
-        content = content.replace('__VIRTUAL_PROMPT__', prompt or '')
-        content = content.replace('__VIRTUAL_WINPROMPT__', prompt or '(%s)' % vname)
-        content = content.replace('__VIRTUAL_ENV__', home_dir)
-        content = content.replace('__VIRTUAL_NAME__', vname)
-        content = content.replace('__BIN_NAME__', os.path.basename(bin_dir))
-        writefile(os.path.join(bin_dir, name), content)
-
-def install_distutils(home_dir):
-    distutils_path = change_prefix(distutils.__path__[0], home_dir)
-    mkdir(distutils_path)
-    ## FIXME: maybe this prefix setting should only be put in place if
-    ## there's a local distutils.cfg with a prefix setting?
-    home_dir = os.path.abspath(home_dir)
-    ## FIXME: this is breaking things, removing for now:
-    #distutils_cfg = DISTUTILS_CFG + "\n[install]\nprefix=%s\n" % home_dir
-    writefile(os.path.join(distutils_path, '__init__.py'), DISTUTILS_INIT)
-    writefile(os.path.join(distutils_path, 'distutils.cfg'), DISTUTILS_CFG, overwrite=False)
-
-def fix_local_scheme(home_dir):
-    """
-    Platforms that use the "posix_local" install scheme (like Ubuntu with
-    Python 2.7) need to be given an additional "local" location, sigh.
-    """
-    try:
-        import sysconfig
-    except ImportError:
-        pass
-    else:
-        if sysconfig._get_default_scheme() == 'posix_local':
-            local_path = os.path.join(home_dir, 'local')
-            if not os.path.exists(local_path):
-                os.mkdir(local_path)
-                for subdir_name in os.listdir(home_dir):
-                    if subdir_name == 'local':
-                        continue
-                    os.symlink(os.path.abspath(os.path.join(home_dir, subdir_name)), \
-                                                            os.path.join(local_path, subdir_name))
-
-def fix_lib64(lib_dir):
-    """
-    Some platforms (particularly Gentoo on x64) put things in lib64/pythonX.Y
-    instead of lib/pythonX.Y.  If this is such a platform we'll just create a
-    symlink so lib64 points to lib
-    """
-    if [p for p in distutils.sysconfig.get_config_vars().values()
-        if isinstance(p, basestring) and 'lib64' in p]:
-        logger.debug('This system uses lib64; symlinking lib64 to lib')
-        assert os.path.basename(lib_dir) == 'python%s' % sys.version[:3], (
-            "Unexpected python lib dir: %r" % lib_dir)
-        lib_parent = os.path.dirname(lib_dir)
-        top_level = os.path.dirname(lib_parent)
-        lib_dir = os.path.join(top_level, 'lib')
-        lib64_link = os.path.join(top_level, 'lib64')
-        assert os.path.basename(lib_parent) == 'lib', (
-            "Unexpected parent dir: %r" % lib_parent)
-        if os.path.lexists(lib64_link):
-            return
-        os.symlink('lib', lib64_link)
-
-def resolve_interpreter(exe):
-    """
-    If the executable given isn't an absolute path, search $PATH for the interpreter
-    """
-    if os.path.abspath(exe) != exe:
-        paths = os.environ.get('PATH', '').split(os.pathsep)
-        for path in paths:
-            if os.path.exists(os.path.join(path, exe)):
-                exe = os.path.join(path, exe)
-                break
-    if not os.path.exists(exe):
-        logger.fatal('The executable %s (from --python=%s) does not exist' % (exe, exe))
-        raise SystemExit(3)
-    if not is_executable(exe):
-        logger.fatal('The executable %s (from --python=%s) is not executable' % (exe, exe))
-        raise SystemExit(3)
-    return exe
-
-def is_executable(exe):
-    """Checks a file is executable"""
-    return os.access(exe, os.X_OK)
-
-############################################################
-## Relocating the environment:
-
-def make_environment_relocatable(home_dir):
-    """
-    Makes the already-existing environment use relative paths, and takes out
-    the #!-based environment selection in scripts.
-    """
-    home_dir, lib_dir, inc_dir, bin_dir = path_locations(home_dir)
-    activate_this = os.path.join(bin_dir, 'activate_this.py')
-    if not os.path.exists(activate_this):
-        logger.fatal(
-            'The environment doesn\'t have a file %s -- please re-run virtualenv '
-            'on this environment to update it' % activate_this)
-    fixup_scripts(home_dir)
-    fixup_pth_and_egg_link(home_dir)
-    ## FIXME: need to fix up distutils.cfg
-
-OK_ABS_SCRIPTS = ['python', 'python%s' % sys.version[:3],
-                  'activate', 'activate.bat', 'activate_this.py']
-
-def fixup_scripts(home_dir):
-    # This is what we expect at the top of scripts:
-    shebang = '#!%s/bin/python' % os.path.normcase(os.path.abspath(home_dir))
-    # This is what we'll put:
-    new_shebang = '#!/usr/bin/env python%s' % sys.version[:3]
-    if is_win:
-        bin_suffix = 'Scripts'
-    else:
-        bin_suffix = 'bin'
-    bin_dir = os.path.join(home_dir, bin_suffix)
-    home_dir, lib_dir, inc_dir, bin_dir = path_locations(home_dir)
-    for filename in os.listdir(bin_dir):
-        filename = os.path.join(bin_dir, filename)
-        if not os.path.isfile(filename):
-            # ignore subdirs, e.g. .svn ones.
-            continue
-        f = open(filename, 'rb')
-        try:
-            try:
-                lines = f.read().decode('utf-8').splitlines()
-            except UnicodeDecodeError:
-                # This is probably a binary program instead
-                # of a script, so just ignore it.
-                continue
-        finally:
-            f.close()
-        if not lines:
-            logger.warn('Script %s is an empty file' % filename)
-            continue
-        if not lines[0].strip().startswith(shebang):
-            if os.path.basename(filename) in OK_ABS_SCRIPTS:
-                logger.debug('Cannot make script %s relative' % filename)
-            elif lines[0].strip() == new_shebang:
-                logger.info('Script %s has already been made relative' % filename)
-            else:
-                logger.warn('Script %s cannot be made relative (it\'s not a normal script that starts with %s)'
-                            % (filename, shebang))
-            continue
-        logger.notify('Making script %s relative' % filename)
-        script = relative_script([new_shebang] + lines[1:])
-        f = open(filename, 'wb')
-        f.write('\n'.join(script).encode('utf-8'))
-        f.close()
-
-def relative_script(lines):
-    "Return a script that'll work in a relocatable environment."
-    activate = "import os; activate_this=os.path.join(os.path.dirname(os.path.realpath(__file__)), 'activate_this.py'); execfile(activate_this, dict(__file__=activate_this)); del os, activate_this"
-    # Find the last future statement in the script. If we insert the activation
-    # line before a future statement, Python will raise a SyntaxError.
-    activate_at = None
-    for idx, line in reversed(list(enumerate(lines))):
-        if line.split()[:3] == ['from', '__future__', 'import']:
-            activate_at = idx + 1
-            break
-    if activate_at is None:
-        # Activate after the shebang.
-        activate_at = 1
-    return lines[:activate_at] + ['', activate, ''] + lines[activate_at:]
-
-def fixup_pth_and_egg_link(home_dir, sys_path=None):
-    """Makes .pth and .egg-link files use relative paths"""
-    home_dir = os.path.normcase(os.path.abspath(home_dir))
-    if sys_path is None:
-        sys_path = sys.path
-    for path in sys_path:
-        if not path:
-            path = '.'
-        if not os.path.isdir(path):
-            continue
-        path = os.path.normcase(os.path.abspath(path))
-        if not path.startswith(home_dir):
-            logger.debug('Skipping system (non-environment) directory %s' % path)
-            continue
-        for filename in os.listdir(path):
-            filename = os.path.join(path, filename)
-            if filename.endswith('.pth'):
-                if not os.access(filename, os.W_OK):
-                    logger.warn('Cannot write .pth file %s, skipping' % filename)
-                else:
-                    fixup_pth_file(filename)
-            if filename.endswith('.egg-link'):
-                if not os.access(filename, os.W_OK):
-                    logger.warn('Cannot write .egg-link file %s, skipping' % filename)
-                else:
-                    fixup_egg_link(filename)
-
-def fixup_pth_file(filename):
-    lines = []
-    prev_lines = []
-    f = open(filename)
-    prev_lines = f.readlines()
-    f.close()
-    for line in prev_lines:
-        line = line.strip()
-        if (not line or line.startswith('#') or line.startswith('import ')
-            or os.path.abspath(line) != line):
-            lines.append(line)
-        else:
-            new_value = make_relative_path(filename, line)
-            if line != new_value:
-                logger.debug('Rewriting path %s as %s (in %s)' % (line, new_value, filename))
-            lines.append(new_value)
-    if lines == prev_lines:
-        logger.info('No changes to .pth file %s' % filename)
-        return
-    logger.notify('Making paths in .pth file %s relative' % filename)
-    f = open(filename, 'w')
-    f.write('\n'.join(lines) + '\n')
-    f.close()
-
-def fixup_egg_link(filename):
-    f = open(filename)
-    link = f.readline().strip()
-    f.close()
-    if os.path.abspath(link) != link:
-        logger.debug('Link in %s already relative' % filename)
-        return
-    new_link = make_relative_path(filename, link)
-    logger.notify('Rewriting link %s in %s as %s' % (link, filename, new_link))
-    f = open(filename, 'w')
-    f.write(new_link)
-    f.close()
-
-def make_relative_path(source, dest, dest_is_directory=True):
-    """
-    Make a filename relative, where the filename is dest, and it is
-    being referred to from the filename source.
-
-        >>> make_relative_path('/usr/share/something/a-file.pth',
-        ...                    '/usr/share/another-place/src/Directory')
-        '../another-place/src/Directory'
-        >>> make_relative_path('/usr/share/something/a-file.pth',
-        ...                    '/home/user/src/Directory')
-        '../../../home/user/src/Directory'
-        >>> make_relative_path('/usr/share/a-file.pth', '/usr/share/')
-        './'
-    """
-    source = os.path.dirname(source)
-    if not dest_is_directory:
-        dest_filename = os.path.basename(dest)
-        dest = os.path.dirname(dest)
-    dest = os.path.normpath(os.path.abspath(dest))
-    source = os.path.normpath(os.path.abspath(source))
-    dest_parts = dest.strip(os.path.sep).split(os.path.sep)
-    source_parts = source.strip(os.path.sep).split(os.path.sep)
-    while dest_parts and source_parts and dest_parts[0] == source_parts[0]:
-        dest_parts.pop(0)
-        source_parts.pop(0)
-    full_parts = ['..']*len(source_parts) + dest_parts
-    if not dest_is_directory:
-        full_parts.append(dest_filename)
-    if not full_parts:
-        # Special case for the current directory (otherwise it'd be '')
-        return './'
-    return os.path.sep.join(full_parts)
-
-
-
-############################################################
-## Bootstrap script creation:
-
-def create_bootstrap_script(extra_text, python_version=''):
-    """
-    Creates a bootstrap script, which is like this script but with
-    extend_parser, adjust_options, and after_install hooks.
-
-    This returns a string that (written to disk of course) can be used
-    as a bootstrap script with your own customizations.  The script
-    will be the standard virtualenv.py script, with your extra text
-    added (your extra text should be Python code).
-
-    If you include these functions, they will be called:
-
-    ``extend_parser(optparse_parser)``:
-        You can add or remove options from the parser here.
-
-    ``adjust_options(options, args)``:
-        You can change options here, or change the args (if you accept
-        different kinds of arguments, be sure you modify ``args`` so it is
-        only ``[DEST_DIR]``).
-
-    ``after_install(options, home_dir)``:
-
-        After everything is installed, this function is called.  This
-        is probably the function you are most likely to use.  An
-        example would be::
-
-            def after_install(options, home_dir):
-                subprocess.call([join(home_dir, 'bin', 'easy_install'),
-                                 'MyPackage'])
-                subprocess.call([join(home_dir, 'bin', 'my-package-script'),
-                                 'setup', home_dir])
-
-        This example immediately installs a package, and runs a setup
-        script from that package.
-
-    If you provide something like ``python_version='2.5'`` then the
-    script will start with ``#!/usr/bin/env python2.5`` instead of
-    ``#!/usr/bin/env python``.  You can use this when the script must
-    be run with a particular Python version.
-    """
-    filename = __file__
-    if filename.endswith('.pyc'):
-        filename = filename[:-1]
-    f = codecs.open(filename, 'r', encoding='utf-8')
-    content = f.read()
-    f.close()
-    py_exe = 'python%s' % python_version
-    content = (('#!/usr/bin/env %s\n' % py_exe)
-               + '## WARNING: This file is generated\n'
-               + content)
-    return content.replace('##EXT' 'END##', extra_text)
-
-##EXTEND##
-
-def convert(s):
-    b = base64.b64decode(s.encode('ascii'))
-    return zlib.decompress(b).decode('utf-8')
-
-##file site.py
-SITE_PY = convert("""
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-UM3ckC/Q8aP8VLy+mjYY5MxOtAdgjULwf2RtvCc=
-""")
-
-##file ez_setup.py
-EZ_SETUP_PY = convert("""
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-qL7+C1AkCcw=
-""")
-
-##file distribute_from_egg.py
-DISTRIBUTE_FROM_EGG_PY = convert("""
-eJw9j8tqAzEMRfcG/4MgmxQyptkGusonZBmGoGTUGYFfWPKE6dfXTkM3gqt7rh47OKP3NMF3SQFW
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-hLLdWkDbi/DeEpCjNb3u/zccT2Ob8gtnwVyI
-""")
-
-##file distribute_setup.py
-DISTRIBUTE_SETUP_PY = convert("""
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-AQY8kAOPXhRARVytfg/Nceos0o30GopNqOhkZHyqgeH5NkX4t8zxXK5LLyjlSJ32lBseEbfmju5Z
-DF2QYNX+UTAJjE4FqvDZZzKy2LQbVaHcsSN1JNRYPwgLfPG0Ljx0NWIuafsGt9cjZeABNS+HLnDU
-90jwI56n78N/RfnLQD6Y5edOJlcx/tIkWSqlvywfM16VaGy9vN4turEc3kJ5R2rGi6xp9M04WUaf
-Ygf0IatroGl6ZBtD+lRuN+rEBcDhPE+KqzWJ3WFxOXoSwYSgnxf12NluHalaDqrHT6WpHhlOI7Cv
-M0/v7ykz7/m7Z7mTycyvWUwEttnliYprEA6TB9TqDL+N1QoHbUVm85e//bZASWI8A6nKz99gK9kg
-Gz8a9A8FqOcGeaunTqA/ULgA8cWD4Zv/6CgrZk94mSc5d8yi/zTTcljhlVBKW8arKDVoL8yIdqwJ
-r4PQ+ots1x6MrSNnkAqz6EnHNWfr7Guoo44NdCbiijCljl8p3zxe9PyRTcbVZUYN+Fl/gJCdsq9O
-DIda6/zizmR1YniuLz2ysisYp/I6pNsjQlB5nVjmf4sFh93KGyFyG/1yAbYBOCJYlbcN9tNRj5cY
-1CSekQZUW9VKOGJmnWdtGOA6y2D2edE7h3SYoBnoLqZw9Q/DJFVYqEoqRg+Xc1BOeYfzZ8mf8V6Z
-R27zWUAid4d0fiutlkpgb9cwHohTFHs5WR2LYsd6tDc1toqZPWIdUisH6tpX+JuEisNT54xVX08d
-M+CD1wCO9eJOyI4FYFUJkDCSdDj5Nqikc8MprZhkSsNYgYHdPQoetn3E1x2ajF+8qDtYyIbhhpxw
-hJkyTN41EWaR/hm3j/FaHnRjehKJy+u96okzEepxfCnctq+zXqpzu6/ZgF/YjHXOyl5/vPpXEmyp
-s0VqfxlQT1813Xtu7osgbskk2wbjgjohKWuZuk+I8RzvIJigiHqb9jNsc/647JMX6aG+drsvqDhF
-mVwadF03a0ZWUbwQpynSN6J6Ct+YfRXE1rx6zFKWyndVsrWCd9+KaZzWSKquIhZze5qjG61uPeSH
-kjHKxqWgsAFD532CAZE8BBq7hDv0bfJ+PtCyherocAXlZWZgo1KOjXuRUW1pZBMRK1MVRMR9uQOb
-KhfynqMVnkcHWvvhLt+oVPVkRRrgGPO3I00f5yrsYZIOJVEjpBzPqRSJ4aGUFHXO75Z8Q1p6MC89
-0lvv8cafN+yuu7phzizRrMXBuvSQ4pDb8f4l64vWLwi+V55DeiEmFTUQyZxDgZx2ZbK1mZ190g+e
-12rE2zhGO1mWinfIJIToSeiXjCRUndWkoPwBbzJUhIrjZ2onrLqNKp6K9BzfaQkWiX8RHhIJvFaU
-s4VqTSzYV/GaGSTQi4KWEMPT4M4geXUICWdJxTWkes9HJJwXP9xhwiIpAFcyNvDKCaV6+OzO9EGw
-Xegms5/9N2vuILnS0yYah7jzNPrSlBGJcxG8YflanhgspxHU+QXDuxjNEqOVPepSl9fF2bqCkAe3
-4l4FBxFKeeHXRF7b0ne39f7sHRH09vjKX7UrsZIvqhRfDpSRBc84BIDbk7CHoBpJBuotOn2gSGkT
-kXvcQGDu2uCbeoB0zQQhg6vrQKjiAHyEyWpHAfp4mQTTXBBR4JuX4v4N8FOQLFqfGg+eLSj7gOi0
-2pMNaxWucOZfSlGJX1LVe/c7VH1QW6h7lpKh8gq/BlCMt5cxXQ6APtyZjEOLZZBp6AGM+vl6Yuoc
-WEl4WohVCsQr09Ww6vz3PN6JJsyjR90RauiaoVRZ76aEhYxoDeVuGqo1fCep6VoKbkX46ygg3tHD
-XtGPP/6XTIuSrAD5ifoMCDz7z7MzJ/vL15GSvUYqtd+kK9cM3QEjDbLfpdm1b7eZSf6bhK/m5EeH
-RWhkOJ/xEDCczxHPq9loXZIUtYCJsCUhASN7LtfnGyINJeZxAC6pD8dOXQaIHth+qTUwwhsUoL9I
-c4AEBDNMxAU2eSNbMwiSQnF5BnAZEzZmi7or5IFZYp95Pa1zxj0ixfnnaBNFS9xn0OA6gpBysgXi
-rIwV3tkQsBPnqs8ATLawsyOAuvnqmOz/4iqxVFGcnAP3cyi4z4fFtrio3Svkx65+CGRxutqEoIRT
-5VvwlUW8RMZ670G5L4aF6k1pGwLE31/MSyL2bVfwpoF6uVbHLGK6NZV+e8gUY6o89r2js7L0aooZ
-iooIK35Nn+elDhjjT4cytKnsHui71g35qF8L/glDNOSjjPeuZ8lL8Tf7pmXFJcbWcydpcgjXTk03
-KLymggtomrVgWpLZPS5/xBEZS+WhE0Sakjkdp8YDF4jELUb1Lnj0QUAJNFy5AgkU0TSNJQ5b72qC
-8WJr0y4Dl9nwkIo7PcugabH114IrEJBr2uWqPLd3Z7csr5c6PUIbF8wWL5wruZPwGOtnwXOo1Rfz
-FnjX0ZDt3YAMMJNp6SPly+mn63dTS6KmfPTur6Rf/3MDmNTgjVgRmNXN1speCxxXbLUDJai5ztzU
-jlyh60S2Av6onMMYFcUu6qYEjqeuGmnxCw0qKDjGAzedrUZdHft3CoTPvqTNXkFpldL/TsLSV1PZ
-/zn6ipR/wVrbr/fUM4zhy8vHvBF4rExcM8RaLRbtwDhGPsSxepHeZMCCOzDhfwBqDMd7
-""")
-
-##file activate.sh
-ACTIVATE_SH = convert("""
-eJytVVFvokAQfudXTLEPtTlLeo9tvMSmJpq02hSvl7u2wRUG2QR2DSxSe7n/frOACEVNLlceRHa+
-nfl25pvZDswCnoDPQ4QoTRQsENIEPci4CsBMZBq7CAsuLOYqvmYKTTj3YxnBgiXBudGBjUzBZUJI
-BXEqgCvweIyuCjeG4eF2F5x14bcB9KQiQQWrjSddI1/oQIx6SYYeoFjzWIoIhYI1izlbhJjkKO7D
-M/QEmKfO9O7WeRo/zr4P7pyHwWxkwitcgwpQ5Ej96OX+PmiFwLeVjFUOrNYKaq1Nud3nR2n8nI2m
-k9H0friPTGVsUdptaxGrTEfpNVFEskxpXtUkkCkl1UNF9cgLBkx48J4EXyALuBtAwNYIjF5kcmUU
-abMKmMq1ULoiRbgsDEkTSsKSGFCJ6Z8vY/2xYiSacmtyAfCDdCNTVZoVF8vSTQOoEwSnOrngBkws
-MYGMBMg8/bMBLSYKS7pYEXP0PqT+ZmBT0Xuy+Pplj5yn4aM9nk72JD8/Wi+Gr98sD9eWSMOwkapD
-BbUv91XSvmyVkICt2tmXR4tWmrcUCsjWOpw87YidEC8i0gdTSOFhouJUNxR+4NYBG0MftoCTD9F7
-2rTtxG3oPwY1b2HncYwhrlmj6Wq924xtGDWqfdNxap+OYxplEurnMVo9RWks+rH8qKEtx7kZT5zJ
-4H7oOFclrN6uFe+d+nW2aIUsSgs/42EIPuOhXq+jEo3S6tX6w2ilNkDnIpHCWdEQhFgwj9pkk7FN
-l/y5eQvRSIQ5+TrL05lewxWpt/Lbhes5cJF3mLET1MGhcKCF+40tNWnUulxrpojwDo2sObdje3Bz
-N3QeHqf3D7OjEXMVV8LN3ZlvuzoWHqiUcNKHtwNd0IbvPGKYYM31nPKCgkUILw3KL+Y8l7aO1ArS
-Ad37nIU0fCj5NE5gQCuC5sOSu+UdI2NeXg/lFkQIlFpdWVaWZRfvqGiirC9o6liJ9FXGYrSY9mI1
-D/Ncozgn13vJvsznr7DnkJWXsyMH7e42ljdJ+aqNDF1bFnKWFLdj31xtaJYK6EXFgqmV/ymD/ROG
-+n8O9H8f5vsGOWXsL1+1k3g=
-""")
-
-##file activate.fish
-ACTIVATE_FISH = convert("""
-eJyVVWFv2jAQ/c6vuBoqQVWC9nVSNVGVCaS2VC2rNLWVZZILWAs2s52wVvvxsyEJDrjbmgpK7PP5
-3bt3d22YLbmGlGcIq1wbmCPkGhPYcLMEEsGciwGLDS+YwSjlekngLFVyBe73GXSXxqw/DwbuTS8x
-yyKpFr1WG15lDjETQhpQuQBuIOEKY5O9tlppLqxHKSDByjVAPwEy+mXtCq5MzjIUBTCRgEKTKwFG
-gpBqxTLYXgN2myspVigMaYF92tZSowGZJf4mFExxNs9Qb614CgZtmH0BpEOn11f0cXI/+za8pnfD
-2ZjA1sg9zlV/8QvcMhxbNu0QwgYokn/d+n02nt6Opzcjcnx1vXcIoN74O4ymWQXmHURfJw9jenc/
-vbmb0enj6P5+cuVhqlKm3S0u2XRtRbA2QQAhV7VhBF0rsgUX9Ur1rBUXJgVSy8O751k8mzY5OrKH
-RW3eaQhYGTr8hrXO59ALhxQ83mCsDLAid3T72CCSdJhaFE+fXgicXAARUiR2WeVO37gH3oYHzFKo
-9k7CaPZ1UeNwH1tWuXA4uFKYYcEa8vaKqXl7q1UpygMPhFLvlVKyNzsSM3S2km7UBOl4xweUXk5u
-6e3wZmQ9leY1XE/Ili670tr9g/5POBBpGIJXCCF79L1siarl/dbESa8mD8PL61GpzqpzuMS7tqeB
-1YkALrRBloBMbR9yLcVx7frQAgUqR7NZIuzkEu110gbNit1enNs82Rx5utq7Z3prU78HFRgulqNC
-OTwbqJa9vkJFclQgZSjbKeBgSsUtCtt9D8OwAbIVJuewQdfvQRaoFE9wd1TmCuRG7OgJ1bVXGHc7
-z5WDL/WW36v2oi37CyVBak61+yPBA9C1qqGxzKQqZ0oPuocU9hpud0PIp8sDHkXR1HKkNlzjuUWA
-a0enFUyzOWZA4yXGP+ZMI3Tdt2OuqU/SO4q64526cPE0A7ZyW2PMbWZiZ5HamIZ2RcCKLXhcDl2b
-vXL+eccQoRzem80mekPDEiyiWK4GWqZmwxQOmPM0eIfgp1P9cqrBsewR2p/DPMtt+pfcYM+Ls2uh
-hALufTAdmGl8B1H3VPd2af8fQAc4PgqjlIBL9cGQqNpXaAwe3LrtVn8AkZTUxg==
-""")
-
-##file activate.csh
-ACTIVATE_CSH = convert("""
-eJx9VG1P2zAQ/u5fcYQKNgTNPtN1WxlIQ4KCUEGaxuQ6yYVYSuzKdhqVX7+zk3bpy5YPUXL3PPfc
-ne98DLNCWshliVDV1kGCUFvMoJGugMjq2qQIiVSxSJ1cCofD1BYRnOVGV0CfZ0N2DD91DalQSjsw
-tQLpIJMGU1euvPe7QeJlkKzgWixlhnAt4aoUVsLnLBiy5NtbJWQ5THX1ZciYKKWwkOFaE04dUm6D
-r/zh7pq/3D7Nnid3/HEy+wFHY/gEJydg0aFaQrBFgz1c5DG1IhTs+UZgsBC2GMFBlaeH+8dZXwcW
-VPvCjXdlAvCfQsE7al0+07XjZvrSCUevR5dnkVeKlFYZmUztG4BdzL2u9KyLVabTU0bdfg7a0hgs
-cSmUg6UwUiQl2iHrcbcVGNvPCiLOe7+cRwG13z9qRGgx2z6DHjfm/Op2yqeT+xvOLzs0PTKHDz2V
-tkckFHoQfQRXoGJAj9el0FyJCmEMhzgMS4sB7KPOE2ExoLcSieYwDvR+cP8cg11gKkVJc2wRcm1g
-QhYFlXiTaTfO2ki0fQoiFM4tLuO4aZrhOzqR4dIPcWx17hphMBY+Srwh7RTyN83XOWkcSPh1Pg/k
-TXX/jbJTbMtUmcxZ+/bbqOsy82suFQg/BhdSOTRhMNBHlUarCpU7JzBhmkKmRejKOQzayQe6MWoa
-n1wqWmuh6LZAaHxcdeqIlVLhIBJdO9/kbl0It2oEXQj+eGjJOuvOIR/YGRqvFhttUB2XTvLXYN2H
-37CBdbW2W7j2r2+VsCn0doVWcFG1/4y1VwBjfwAyoZhD
-""")
-
-##file activate.bat
-ACTIVATE_BAT = convert("""
-eJx9UdEKgjAUfW6wfxjiIH+hEDKUFHSKLCMI7kNOEkIf9P9pTJ3OLJ/03HPPPed4Es9XS9qqwqgT
-PbGKKOdXL4aAFS7A4gvAwgijuiKlqOpGlATS2NeMLE+TjJM9RkQ+SmqAXLrBo1LLIeLdiWlD6jZt
-r7VNubWkndkXaxg5GO3UaOOKS6drO3luDDiO5my3iA0YAKGzPRV1ack8cOdhysI0CYzIPzjSiH5X
-0QcvC8Lfaj0emsVKYF2rhL5L3fCkVjV76kShi59NHwDniAHzkgDgqBcwOgTMx+gDQQqXCw==
-""")
-
-##file deactivate.bat
-DEACTIVATE_BAT = convert("""
-eJxzSE3OyFfIT0vj4ipOLVEI8wwKCXX0iXf1C7Pl4spMU0hJTcvMS01RiPf3cYmHyQYE+fsGhCho
-cCkAAUibEkTEVhWLMlUlLk6QGixStlyaeCyJDPHw9/Pw93VFsQguim4ZXAJoIUw5DhX47XUM8UCx
-EchHtwsohN1bILUgw61c/Vy4AJYPYm4=
-""")
-
-##file activate.ps1
-ACTIVATE_PS = convert("""
-eJylWdmS40Z2fVeE/oHT6rCloNUEAXDThB6wAyQAEjsB29GBjdgXYiWgmC/zgz/Jv+AEWNVd3S2N
-xuOKYEUxM+/Jmzfvcm7W//zXf/+wUMOoXtyi1F9kbd0sHH/hFc2iLtrK9b3FrSqyxaVQwr8uhqJd
-uHaeg9mqzRdR8/13Pyy8qPLdJh0+LMhi0QCoXxYfFh9WtttEnd34H8p6/f1300KauwrULws39e18
-0ZaLNm9rgN/ZVf3h++/e124Vlc0vKsspHy+Yyi5+XbzPhijvCtduoiL/kA1ukWV27n0o7Sb8LIFj
-CvWR5GQgUJdp1Pw8TS9+rPy6SDv/+e3d+0+4qw8f3v20+PliV37efEYBAB9FTKC+RHn/Cfxn3rdv
-00Fube5O+iyCtHDs9BfPfz3q4sfFv9d91Ljhfy7ei0VO+nVTtdOkv/jpt0l2AX6iG1jXgKnnDuD4
-ke2k/i8fzzz5UedkVcP4pwF+Wvz2FJl+3vt598urXf5Y6LNA5WcFOP7r0sW7b9a+W/xcu0Xpv5zk
-Kfq3P9Dz9di/fCxS72MXVU1rpx9L4Bxl85Wmn5a+zP76Zuh3pL9ROWr87PN+//GHIl+oOtvn9XSU
-qH+p0gQBFnx1uV+JLH5O5zv+PXW+WepXVVHZT0+oQezkIATcIm+ivPV/z5J/+cYj3ir4w0Lx09vC
-e5n/y5/Y5LPPfdrqb88ga/PabxZRVfmp39l588m/6u+/e+OpP+dF7n1WZpJ9//Z4v372fDDz9eHB
-7Juvs/BLMHzrxL9+9twXpJfhd1/DrpQ5Euu/vlss3wp9HXC/54C/Ld69m6zwdx3tC0d8daSv0V8B
-n4b9YYF53sJelJV/ix6LZspw/sJtqyl5LJ5r/23htA1Imfm/gt9R7dqVB1LjhydAX4Gb+zksQF59
-9+P7H//U+376afFuvh2/T6P85Xr/5c8C6OXyFY4BGuN+EE0+GeR201b+wkkLN5mmBY5TfMw8ngqL
-CztXxCSXKMCYrRIElWkEJlEPYsSOeKBVZCAQTKBhApMwRFQzmCThE0YQu2CdEhgjbgmk9GluHpfR
-/hhwJCZhGI5jt5FsAkOrObVyE6g2y1snyhMGFlDY1x+BoHpCMulTj5JYWNAYJmnKpvLxXgmQ8az1
-4fUGxxcitMbbhDFcsiAItg04E+OSBIHTUYD1HI4FHH4kMREPknuYRMyhh3AARWMkfhCketqD1CWJ
-mTCo/nhUScoQcInB1hpFhIKoIXLo5jLpwFCgsnLCx1QlEMlz/iFEGqzH3vWYcpRcThgWnEKm0QcS
-rA8ek2a2IYYeowUanOZOlrbWSJUC4c7y2EMI3uJPMnMF/SSXdk6E495VLhzkWHps0rOhKwqk+xBI
-DhJirhdUCTamMfXz2Hy303hM4DFJ8QL21BcPBULR+gcdYxoeiDqOFSqpi5B5PUISfGg46gFZBPo4
-jdh8lueaWuVSMTURfbAUnLINr/QYuuYoMQV6l1aWxuZVTjlaLC14UzqZ+ziTGDzJzhiYoPLrt3uI
-tXkVR47kAo09lo5BD76CH51cTt1snVpMOttLhY93yxChCQPI4OBecS7++h4p4Bdn4H97bJongtPk
-s9gQnXku1vzsjjmX4/o4YUDkXkjHwDg5FXozU0fW4y5kyeYW0uJWlh536BKr0kMGjtzTkng6Ep62
-uTWnQtiIqKnEsx7e1hLtzlXs7Upw9TwEnp0t9yzCGgUJIZConx9OHJArLkRYW0dW42G9OeR5Nzwk
-yk1mX7du5RGHT7dka7N3AznmSif7y6tuKe2N1Al/1TUPRqH6E2GLVc27h9IptMLkCKQYRqPQJgzV
-2m6WLsSipS3v3b1/WmXEYY1meLEVIU/arOGVkyie7ZsH05ZKpjFW4cpY0YkjySpSExNG2TS8nnJx
-nrQmWh2WY3cP1eISP9wbaVK35ZXc60yC3VN/j9n7UFoK6zvjSTE2+Pvz6Mx322rnftfP8Y0XKIdv
-Qd7AfK0nexBTMqRiErvCMa3Hegpfjdh58glW2oNMsKeAX8x6YJLZs9K8/ozjJkWL+JmECMvhQ54x
-9rsTHwcoGrDi6Y4I+H7yY4/rJVPAbYymUH7C2D3uiUS3KQ1nrCAUkE1dJMneDQIJMQQx5SONxoEO
-OEn1/Ig1eBBUeEDRuOT2WGGGE4bNypBLFh2PeIg3bEbg44PHiqNDbGIQm50LW6MJU62JHCGBrmc9
-2F7WBJrrj1ssnTAK4sxwRgh5LLblhwNAclv3Gd+jC/etCfyfR8TMhcWQz8TBIbG8IIyAQ81w2n/C
-mHWAwRzxd3WoBY7BZnsqGOWrOCKwGkMMNfO0Kci/joZgEocLjNnzgcmdehPHJY0FudXgsr+v44TB
-I3jnMGnsK5veAhgi9iXGifkHMOC09Rh9cAw9sQ0asl6wKMk8mpzFYaaDSgG4F0wisQDDBRpjCINg
-FIxhlhQ31xdSkkk6odXZFpTYOQpOOgw9ugM2cDQ+2MYa7JsEirGBrOuxsQy5nPMRdYjsTJ/j1iNw
-FeSt1jY2+dd5yx1/pzZMOQXUIDcXeAzR7QlDRM8AMkUldXOmGmvYXPABjxqkYKO7VAY6JRU7kpXr
-+Epu2BU3qFFXClFi27784LrDZsJwbNlDw0JzhZ6M0SMXE4iBHehCpHVkrQhpTFn2dsvsZYkiPEEB
-GSEAwdiur9LS1U6P2U9JhGp4hnFpJo4FfkdJHcwV6Q5dV1Q9uNeeu7rV8PAjwdFg9RLtroifOr0k
-uOiRTo/obNPhQIf42Fr4mtThWoSjitEdAmFW66UCe8WFjPk1YVNpL9srFbond7jrLg8tqAasIMpy
-zkH0SY/6zVAwJrEc14zt14YRXdY+fcJ4qOd2XKB0/Kghw1ovd11t2o+zjt+txndo1ZDZ2T+uMVHT
-VSXhedBAHoJIID9xm6wPQI3cXY+HR7vxtrJuCKh6kbXaW5KkVeJsdsjqsYsOwYSh0w5sMbu7LF8J
-5T7U6LJdiTx+ca7RKlulGgS5Z1JSU2Llt32cHFipkaurtBrvNX5UtvNZjkufZ/r1/XyLl6yOpytL
-Km8Fn+y4wkhlqZP5db0rooqy7xdL4wxzFVTX+6HaxuQJK5E5B1neSSovZ9ALB8091dDbbjVxhWNY
-Ve5hn1VnI9OF0wpvaRm7SZuC1IRczwC7GnkhPt3muHV1YxUJfo+uh1sYnJy+vI0ZwuPV2uqWJYUH
-bmBsi1zmFSxHrqwA+WIzLrHkwW4r+bad7xbOzJCnKIa3S3YvrzEBK1Dc0emzJW+SqysQfdEDorQG
-9ZJlbQzEHQV8naPaF440YXzJk/7vHGK2xwuP+Gc5xITxyiP+WQ4x18oXHjFzCBy9kir1EFTAm0Zq
-LYwS8MpiGhtfxiBRDXpxDWxk9g9Q2fzPPAhS6VFDAc/aiNGatUkPtZIStZFQ1qD0IlJa/5ZPAi5J
-ySp1ETDomZMnvgiysZSBfMikrSDte/K5lqV6iwC5q7YN9I1dBZXUytDJNqU74MJsUyNNLAPopWK3
-tzmLkCiDyl7WQnj9sm7Kd5kzgpoccdNeMw/6zPVB3pUwMgi4C7hj4AMFAf4G27oXH8NNT9zll/sK
-S6wVlQwazjxWKWy20ZzXb9ne8ngGalPBWSUSj9xkc1drsXkZ8oOyvYT3e0rnYsGwx85xZB9wKeKg
-cJKZnamYwiaMymZvzk6wtDUkxmdUg0mPad0YHtvzpjEfp2iMxvORhnx0kCVLf5Qa43WJsVoyfEyI
-pzmf8ruM6xBr7dnBgzyxpqXuUPYaKahOaz1LrxNkS/Q3Ae5AC+xl6NbxAqXXlzghZBZHmOrM6Y6Y
-ctAkltwlF7SKEsShjVh7QHuxMU0a08/eiu3x3M+07OijMcKFFltByXrpk8w+JNnZpnp3CfgjV1Ax
-gUYCnWwYow42I5wHCcTzLXK0hMZN2DrPM/zCSqe9jRSlJnr70BPE4+zrwbk/xVIDHy2FAQyHoomT
-Tt5jiM68nBQut35Y0qLclLiQrutxt/c0OlSqXAC8VrxW97lGoRWzhOnifE2zbF05W4xuyhg7JTUL
-aqJ7SWDywhjlal0b+NLTpERBgnPW0+Nw99X2Ws72gOL27iER9jgzj7Uu09JaZ3n+hmCjjvZpjNst
-vOWWTbuLrg+/1ltX8WpPauEDEvcunIgTxuMEHweWKCx2KQ9DU/UKdO/3za4Szm2iHYL+ss9AAttm
-gZHq2pkUXFbV+FiJCKrpBms18zH75vax5jSo7FNunrVWY3Chvd8KKnHdaTt/6ealwaA1x17yTlft
-8VBle3nAE+7R0MScC3MJofNCCkA9PGKBgGMYEwfB2QO5j8zUqa8F/EkWKCzGQJ5EZ05HTly1B01E
-z813G5BY++RZ2sxbQS8ZveGPJNabp5kXAeoign6Tlt5+L8i5ZquY9+S+KEUHkmYMRFBxRrHnbl2X
-rVemKnG+oB1yd9+zT+4c43jQ0wWmQRR6mTCkY1q3VG05Y120ZzKOMBe6Vy7I5Vz4ygPB3yY4G0FP
-8RxiMx985YJPXsgRU58EuHj75gygTzejP+W/zKGe78UQN3yOJ1aMQV9hFH+GAfLRsza84WlPLAI/
-9G/5JdcHftEfH+Y3/fHUG7/o8bv98dzzy3e8S+XCvgqB+VUf7sH0yDHpONdbRE8tAg9NWOzcTJ7q
-TuAxe/AJ07c1Rs9okJvl1/0G60qvbdDzz5zO0FuPFQIHNp9y9Bd1CufYVx7dB26mAxwa8GMNrN/U
-oGbNZ3EQ7inLzHy5tRg9AXJrN8cB59cCUBeCiVO7zKM0jU0MamhnRThkg/NMmBOGb6StNeD9tDfA
-7czsAWopDdnGoXUHtA+s/k0vNPkBcxEI13jVd/axp85va3LpwGggXXWw12Gwr/JGAH0b8CPboiZd
-QO1l0mk/UHukud4C+w5uRoNzpCmoW6GbgbMyaQNkga2pQINB18lOXOCJzSWPFOhZcwzdgrsQnne7
-nvjBi+7cP2BbtBeDOW5uOLGf3z94FasKIguOqJl+8ss/6Kumns4cuWbqq5592TN/RNIbn5Qo6qbi
-O4F0P9txxPAwagqPlftztO8cWBzdN/jz3b7GD6JHYP/Zp4ToAMaA74M+EGSft3hEGMuf8EwjnTk/
-nz/P7SLipB/ogQ6xNX0fDqNncMCfHqGLCMM0ZzFa+6lPJYQ5p81vW4HkCvidYf6kb+P/oB965g8K
-C6uR0rdjX1DNKc5pOSTquI8uQ6KXxYaKBn+30/09tK4kMpJPgUIQkbENEPbuezNPPje2Um83SgyX
-GTCJb6MnGVIpgncdQg1qz2bvPfxYD9fewCXDomx9S+HQJuX6W3VAL+v5WZMudRQZk9ZdOk6GIUtC
-PqEb/uwSIrtR7/edzqgEdtpEwq7p2J5OQV+RLrmtTvFwFpf03M/VrRyTZ73qVod7v7Jh2Dwe5J25
-JqFOU2qEu1sP+CRotklediycKfLjeIZzjJQsvKmiGSNQhxuJpKa+hoWUizaE1PuIRGzJqropwgVB
-oo1hr870MZLgnXF5ZIpr6mF0L8aSy2gVnTAuoB4WEd4d5NPVC9TMotYXERKlTcwQ2KiB/C48AEfH
-Qbyq4CN8xTFnTvf/ebOc3isnjD95s0QF0nx9s+y+zMmz782xL0SgEmRpA3x1w1Ff9/74xcxKEPdS
-IEFTz6GgU0+BK/UZ5Gwbl4gZwycxEw+Kqa5QmMkh4OzgzEVPnDAiAOGBFaBW4wkDmj1G4RyElKgj
-NlLCq8zsp085MNh/+R4t1Q8yxoSv8PUpTt7izZwf2BTHZZ3pIZpUIpuLkL1nNL6sYcHqcKm237wp
-T2+RCjgXweXd2Zp7ZM8W6dG5bZsqo0nrJBTx8EC0+CQQdzEGnabTnkzofu1pYkWl4E7XSniECdxy
-vLYavPMcL9LW5SToJFNnos+uqweOHriUZ1ntIYZUonc7ltEQ6oTRtwOHNwez2sVREskHN+bqG3ua
-eaEbJ8XpyO8CeD9QJc8nbLP2C2R3A437ISUNyt5Yd0TbDNcl11/DSsOzdbi/VhCC0KE6v1vqVNkq
-45ZnG6fiV2NwzInxCNth3BwL0+8814jE6+1W1EeWtpWbSZJOJNYXmWRXa7vLnAljE692eHjZ4y5u
-y1u63De0IzKca7As48Z3XshVF+3XiLNz0JIMh/JOpbiNLlMi672uO0wYzOCZjRxcxj3D+gVenGIE
-MvFUGGXuRps2RzMcgWIRolHXpGUP6sMsQt1hspUBnVKUn/WQj2u6j3SXd9Xz0QtEzoM7qTu5y7gR
-q9gNNsrlEMLdikBt9bFvBnfbUIh6voTw7eDsyTmPKUvF0bHqWLbHe3VRHyRZnNeSGKsB73q66Vsk
-taxWYmwz1tYVFG/vOQhlM0gUkyvIab3nv2caJ1udU1F3pDMty7stubTE4OJqm0i0ECfrJIkLtraC
-HwRWKzlqpfhEIqYH09eT9WrOhQyt8YEoyBlnXtAT37WHIQ03TIuEHbnRxZDdLun0iok9PUC79prU
-m5beZzfQUelEXnhzb/pIROKx3F7qCttYIFGh5dXNzFzID7u8vKykA8Uejf7XXz//S4nKvW//ofS/
-QastYw==
-""")
-
-##file distutils-init.py
-DISTUTILS_INIT = convert("""
-eJytV1uL4zYUfvevOE0ottuMW9q3gVDa3aUMXXbLMlDKMBiNrSTqOJKRlMxkf33PkXyRbGe7Dw2E
-UXTu37lpxLFV2oIyifAncxmOL0xLIfcG+gv80x9VW6maw7o/CANSWWBwFtqeWMPlGY6qPjV8A0bB
-C4eKSTgZ5LRgFeyErMEeOBhbN+Ipgeizhjtnhkn7DdyjuNLPoCS0l/ayQTG0djwZC08cLXozeMss
-aG5EzQ0IScpnWtHSTXuxByV/QCmxE7y+eS0uxWeoheaVVfqSJHiU7Mhhi6gULbOHorshkrEnKxpT
-0n3A8Y8SMpuwZx6aoix3ouFlmW8gHRSkeSJ2g7hU+kiHLDaQw3bmRDaTGfTnty7gPm0FHbIBg9U9
-oh1kZzAFLaue2R6htPCtAda2nGlDSUJ4PZBgCJBGVcwKTAMz/vJiLD+Oin5Z5QlvDPdulC6EsiyE
-NFzb7McNTKJzbJqzphx92VKRFY1idenzmq3K0emRcbWBD0ryqc4NZGmKOOOX9Pz5x+/l27tP797c
-f/z0d+4NruGNai8uAM0bfsYaw8itFk8ny41jsfpyO+BWlpqfhcG4yxLdi/0tQqoT4a8Vby382mt8
-p7XSo7aWGdPBc+b6utaBmCQ7rQKQoWtAuthQCiold2KfJIPTT8xwg9blPumc+YDZC/wYGdAyHpJk
-vUbHbHWAp5No6pK/WhhLEWrFjUwtPEv1Agf8YmnsuXUQYkeZoHm8ogP16gt2uHoxcEMdf2C6pmbw
-hUMsWGhanboh4IzzmsIpWs134jVPqD/c74bZHdY69UKKSn/+KfVhxLgUlToemayLMYQOqfEC61bh
-cbhwaqoGUzIyZRFHPmau5juaWqwRn3mpWmoEA5nhzS5gog/5jbcFQqOZvmBasZtwYlG93k5GEiyw
-buHhMWLjDarEGpMGB2LFs5nIJkhp/nUmZneFaRth++lieJtHepIvKgx6PJqIlD9X2j6pG1i9x3pZ
-5bHuCPFiirGHeO7McvoXkz786GaKVzC9DSpnOxJdc4xm6NSVq7lNEnKdVlnpu9BNYoKX2Iq3wvgh
-gGEUM66kK6j4NiyoneuPLSwaCWDxczgaolEWpiMyDVDb7dNuLAbriL8ig8mmeju31oNvQdpnvEPC
-1vAXbWacGRVrGt/uXN/gU0CDDwgooKRrHfTBb1/s9lYZ8ZqOBU0yLvpuP6+K9hLFsvIjeNhBi0KL
-MlOuWRn3FRwx5oHXjl0YImUx0+gLzjGchrgzca026ETmYJzPD+IpuKzNi8AFn048Thd63OdD86M6
-84zE8yQm0VqXdbbgvub2pKVnS76icBGdeTHHXTKspUmr4NYo/furFLKiMdQzFjHJNcdAnMhltBJK
-0/IKX3DVFqvPJ2dLE7bDBkH0l/PJ29074+F0CsGYOxsb7U3myTUncYfXqnLLfa6sJybX4g+hmcjO
-kMRBfA1JellfRRKJcyRpxdS4rIl6FdmQCWjo/o9Qz7yKffoP4JHjOvABcRn4CZIT2RH4jnxmfpVG
-qgLaAvQBNfuO6X0/Ux02nb4FKx3vgP+XnkX0QW9pLy/NsXgdN24dD3LxO2Nwil7Zlc1dqtP3d7/h
-kzp1/+7hGBuY4pk0XD/0Ao/oTe/XGrfyM773aB7iUhgkpy+dwAMalxMP0DrBcsVw/6p25+/hobP9
-GBknrWExDhLJ1bwt1NcCNblaFbMKCyvmX0PeRaQ=
-""")
-
-##file distutils.cfg
-DISTUTILS_CFG = convert("""
-eJxNj00KwkAMhfc9xYNuxe4Ft57AjYiUtDO1wXSmNJnK3N5pdSEEAu8nH6lxHVlRhtDHMPATA4uH
-xJ4EFmGbvfJiicSHFRzUSISMY6hq3GLCRLnIvSTnEefN0FIjw5tF0Hkk9Q5dRunBsVoyFi24aaLg
-9FDOlL0FPGluf4QjcInLlxd6f6rqkgPu/5nHLg0cXCscXoozRrP51DRT3j9QNl99AP53T2Q=
-""")
-
-##file activate_this.py
-ACTIVATE_THIS = convert("""
-eJyNU01v2zAMvetXEB4K21jmDOstQA4dMGCHbeihlyEIDMWmG62yJEiKE//7kXKdpN2KzYBt8euR
-fKSyLPs8wiEo8wh4wqZTGou4V6Hm0wJa1cSiTkJdr8+GsoTRHuCotBayiWqQEYGtMCgfD1KjGYBe
-5a3p0cRKiAe2NtLADikftnDco0ko/SFEVgEZ8aRC5GLux7i3BpSJ6J1H+i7A2CjiHq9z7JRZuuQq
-siwTIvpxJYCeuWaBpwZdhB+yxy/eWz+ZvVSU8C4E9FFZkyxFsvCT/ZzL8gcz9aXVE14Yyp2M+2W0
-y7n5mp0qN+avKXvbsyyzUqjeWR8hjGE+2iCE1W1tQ82hsCZN9UzlJr+/e/iab8WfqsmPI6pWeUPd
-FrMsd4H/55poeO9n54COhUs+sZNEzNtg/wanpjpuqHJaxs76HtZryI/K3H7KJ/KDIhqcbJ7kI4ar
-XL+sMgXnX0D+Te2Iy5xdP8yueSlQB/x/ED2BTAtyE3K4SYUN6AMNfbO63f4lBW3bUJPbTL+mjSxS
-PyRfJkZRgj+VbFv+EzHFi5pKwUEepa4JslMnwkowSRCXI+m5XvEOvtuBrxHdhLalG0JofYBok6qj
-YdN2dEngUlbC4PG60M1WEN0piu7Nq7on0mgyyUw3iV1etLo6r/81biWdQ9MWHFaePWZYaq+nmp+t
-s3az+sj7eA0jfgPfeoN1
-""")
-
-MH_MAGIC = 0xfeedface
-MH_CIGAM = 0xcefaedfe
-MH_MAGIC_64 = 0xfeedfacf
-MH_CIGAM_64 = 0xcffaedfe
-FAT_MAGIC = 0xcafebabe
-BIG_ENDIAN = '>'
-LITTLE_ENDIAN = '<'
-LC_LOAD_DYLIB = 0xc
-maxint = majver == 3 and getattr(sys, 'maxsize') or getattr(sys, 'maxint')
-
-
-class fileview(object):
-    """
-    A proxy for file-like objects that exposes a given view of a file.
-    Modified from macholib.
-    """
-
-    def __init__(self, fileobj, start=0, size=maxint):
-        if isinstance(fileobj, fileview):
-            self._fileobj = fileobj._fileobj
-        else:
-            self._fileobj = fileobj
-        self._start = start
-        self._end = start + size
-        self._pos = 0
-
-    def __repr__(self):
-        return '<fileview [%d, %d] %r>' % (
-            self._start, self._end, self._fileobj)
-
-    def tell(self):
-        return self._pos
-
-    def _checkwindow(self, seekto, op):
-        if not (self._start <= seekto <= self._end):
-            raise IOError("%s to offset %d is outside window [%d, %d]" % (
-                op, seekto, self._start, self._end))
-
-    def seek(self, offset, whence=0):
-        seekto = offset
-        if whence == os.SEEK_SET:
-            seekto += self._start
-        elif whence == os.SEEK_CUR:
-            seekto += self._start + self._pos
-        elif whence == os.SEEK_END:
-            seekto += self._end
-        else:
-            raise IOError("Invalid whence argument to seek: %r" % (whence,))
-        self._checkwindow(seekto, 'seek')
-        self._fileobj.seek(seekto)
-        self._pos = seekto - self._start
-
-    def write(self, bytes):
-        here = self._start + self._pos
-        self._checkwindow(here, 'write')
-        self._checkwindow(here + len(bytes), 'write')
-        self._fileobj.seek(here, os.SEEK_SET)
-        self._fileobj.write(bytes)
-        self._pos += len(bytes)
-
-    def read(self, size=maxint):
-        assert size >= 0
-        here = self._start + self._pos
-        self._checkwindow(here, 'read')
-        size = min(size, self._end - here)
-        self._fileobj.seek(here, os.SEEK_SET)
-        bytes = self._fileobj.read(size)
-        self._pos += len(bytes)
-        return bytes
-
-
-def read_data(file, endian, num=1):
-    """
-    Read a given number of 32-bits unsigned integers from the given file
-    with the given endianness.
-    """
-    res = struct.unpack(endian + 'L' * num, file.read(num * 4))
-    if len(res) == 1:
-        return res[0]
-    return res
-
-
-def mach_o_change(path, what, value):
-    """
-    Replace a given name (what) in any LC_LOAD_DYLIB command found in
-    the given binary with a new name (value), provided it's shorter.
-    """
-
-    def do_macho(file, bits, endian):
-        # Read Mach-O header (the magic number is assumed read by the caller)
-        cputype, cpusubtype, filetype, ncmds, sizeofcmds, flags = read_data(file, endian, 6)
-        # 64-bits header has one more field.
-        if bits == 64:
-            read_data(file, endian)
-        # The header is followed by ncmds commands
-        for n in range(ncmds):
-            where = file.tell()
-            # Read command header
-            cmd, cmdsize = read_data(file, endian, 2)
-            if cmd == LC_LOAD_DYLIB:
-                # The first data field in LC_LOAD_DYLIB commands is the
-                # offset of the name, starting from the beginning of the
-                # command.
-                name_offset = read_data(file, endian)
-                file.seek(where + name_offset, os.SEEK_SET)
-                # Read the NUL terminated string
-                load = file.read(cmdsize - name_offset).decode()
-                load = load[:load.index('\0')]
-                # If the string is what is being replaced, overwrite it.
-                if load == what:
-                    file.seek(where + name_offset, os.SEEK_SET)
-                    file.write(value.encode() + '\0'.encode())
-            # Seek to the next command
-            file.seek(where + cmdsize, os.SEEK_SET)
-
-    def do_file(file, offset=0, size=maxint):
-        file = fileview(file, offset, size)
-        # Read magic number
-        magic = read_data(file, BIG_ENDIAN)
-        if magic == FAT_MAGIC:
-            # Fat binaries contain nfat_arch Mach-O binaries
-            nfat_arch = read_data(file, BIG_ENDIAN)
-            for n in range(nfat_arch):
-                # Read arch header
-                cputype, cpusubtype, offset, size, align = read_data(file, BIG_ENDIAN, 5)
-                do_file(file, offset, size)
-        elif magic == MH_MAGIC:
-            do_macho(file, 32, BIG_ENDIAN)
-        elif magic == MH_CIGAM:
-            do_macho(file, 32, LITTLE_ENDIAN)
-        elif magic == MH_MAGIC_64:
-            do_macho(file, 64, BIG_ENDIAN)
-        elif magic == MH_CIGAM_64:
-            do_macho(file, 64, LITTLE_ENDIAN)
-
-    assert(len(what) >= len(value))
-    do_file(open(path, 'r+b'))
-
-
-if __name__ == '__main__':
-    main()
-
-## TODO:
-## Copy python.exe.manifest
-## Monkeypatch distutils.sysconfig